Squashed 'third_party/ct/' content from commit 0048d02
Change-Id: Ia7e5360cbb414f92ce4f118bd9613ea23597db52
git-subtree-dir: third_party/ct
git-subtree-split: 0048d027531b6cf1ea730da17b68a0b7ef9070b1
diff --git a/ct_models/CMakeLists.txt b/ct_models/CMakeLists.txt
new file mode 100755
index 0000000..ea0ed4a
--- /dev/null
+++ b/ct_models/CMakeLists.txt
@@ -0,0 +1,211 @@
+cmake_minimum_required(VERSION 2.8.3)
+
+include(${CMAKE_CURRENT_SOURCE_DIR}/../ct/cmake/compilerSettings.cmake)
+include(${CMAKE_CURRENT_SOURCE_DIR}/../ct/cmake/explicitTemplateHelpers.cmake)
+include(${CMAKE_CURRENT_SOURCE_DIR}/../ct/cmake/clang-cxx-dev-tools.cmake)
+
+project(ct_models)
+
+find_package(catkin REQUIRED ct_rbd)
+
+find_package(Boost REQUIRED system filesystem)
+
+SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wfatal-errors -std=c++11 -Wall -pthread")
+SET(CMAKE_EXPORT_COMPILE_COMMANDS TRUE)
+
+set(ct_model_libs
+ quadrotorDynamics
+ HyALinearizedForward
+ HyAJacInverseDynamicsReverse
+ hya_ik
+ irb4600_ik
+)
+
+if(BUILD_HYQ_FULL)
+ set(ct_model_libs ${ct_model_libs} HyQWithContactModelLinearizedForward HyQForwardZero)
+endif(BUILD_HYQ_FULL)
+
+## assemble list of libraries that contain prespecified templates
+ct_configure_explicit_templates("${CMAKE_CURRENT_SOURCE_DIR}/../ct/config/explicit_templates.cfg" "${CMAKE_CURRENT_SOURCE_DIR}/prespec/" "ct_models")
+message(WARNING "CT Models: Compiling the following explict template libraries: ${PRESPEC_LIB_NAMES}")
+
+catkin_package(
+ INCLUDE_DIRS
+ include
+ LIBRARIES
+ ${ct_model_libs}
+ ${PRESPEC_LIB_NAMES}
+ CATKIN_DEPENDS
+ ct_rbd
+)
+
+include_directories(
+ include
+ ${catkin_INCLUDE_DIRS}
+)
+
+set(HYA_CODEGEN_OUTPUT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/include/ct/models/HyA/codegen")
+set(HYQ_CODEGEN_OUTPUT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/include/ct/models/HyQ/codegen")
+configure_file(${CMAKE_CURRENT_SOURCE_DIR}/include/ct/models/CodegenOutputDirs.h.in ${CMAKE_CURRENT_SOURCE_DIR}/include/ct/models/CodegenOutputDirs.h)
+
+# add libraries for explicit template
+ct_add_explicit_template_libs()
+
+################ HyQ #################
+add_executable(HyQLinearizationCodgen src/HyQ/codegen/HyQLinearizationCodgen.cpp)
+target_link_libraries(HyQLinearizationCodgen ${catkin_LIBRARIES} )
+
+if (BUILD_HYQ_FULL)
+ if (NOT USE_CLANG)
+ MESSAGE(WARNING "HyQ Linearization should be build with CLANG")
+ endif()
+ add_library(HyQWithContactModelLinearizedForward include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.cpp)
+ target_link_libraries(HyQWithContactModelLinearizedForward ${catkin_LIBRARIES} )
+
+ ## Forward Dynamics Forward Zero
+ add_library(HyQForwardZero include/ct/models/HyQ/codegen/HyQForwardZero.cpp)
+ target_link_libraries(HyQForwardZero ${catkin_LIBRARIES})
+endif(BUILD_HYQ_FULL)
+
+if (BUILD_HYQ_LINEARIZATION_TIMINGS)
+ if (NOT USE_CLANG)
+ MESSAGE(FATAL_ERROR "HyQ Linearization Timings need to be build with CLANG")
+ endif()
+
+ ## Forward Dynamics
+ add_library(HyQWithContactModelLinearizedReverse include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.cpp)
+ target_link_libraries(HyQWithContactModelLinearizedReverse ${catkin_LIBRARIES} )
+ add_library(HyQBareModelLinearizedForward include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.cpp)
+ target_link_libraries(HyQBareModelLinearizedForward ${catkin_LIBRARIES} )
+ add_library(HyQBareModelLinearizedReverse include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.cpp)
+ target_link_libraries(HyQBareModelLinearizedReverse ${catkin_LIBRARIES} )
+
+ ## Inverse Dynamics
+ add_library(HyQJacInverseDynamicsForward include/ct/models/HyQ/codegen/HyQInverseDynJacForward.cpp)
+ target_link_libraries(HyQJacInverseDynamicsForward ${catkin_LIBRARIES} )
+ add_library(HyQJacInverseDynamicsReverse include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.cpp)
+ target_link_libraries(HyQJacInverseDynamicsReverse ${catkin_LIBRARIES} )
+
+ ## ForwardKinematics
+ add_library(HyQJacForwardKinForward include/ct/models/HyQ/codegen/HyQForwardKinJacForward.cpp)
+ target_link_libraries(HyQJacForwardKinForward ${catkin_LIBRARIES} )
+ add_library(HyQJacForwardKinReverse include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.cpp)
+ target_link_libraries(HyQJacForwardKinReverse ${catkin_LIBRARIES} )
+
+
+ add_executable(HyQcompareForwardReverseFD src/HyQ/codegen/compareForwardReverseFD.cpp)
+ target_link_libraries(HyQcompareForwardReverseFD
+ HyQWithContactModelLinearizedForward
+ HyQWithContactModelLinearizedReverse
+ HyQBareModelLinearizedForward
+ HyQBareModelLinearizedReverse
+ ${catkin_LIBRARIES})
+
+ add_executable(HyQcompareForwardReverseID src/HyQ/codegen/compareForwardReverseID.cpp)
+ target_link_libraries(HyQcompareForwardReverseID
+ HyQJacInverseDynamicsForward
+ HyQJacInverseDynamicsReverse
+ ${catkin_LIBRARIES})
+
+ add_executable(HyQcompareForwardReverseKin src/HyQ/codegen/compareForwardReverseKin.cpp)
+ target_link_libraries(HyQcompareForwardReverseKin
+ HyQJacForwardKinForward
+ HyQJacForwardKinReverse
+ ${catkin_LIBRARIES})
+
+ add_executable(HyQcompareForwardZero src/HyQ/codegen/compareForwardZero.cpp)
+ target_link_libraries(HyQcompareForwardZero
+ HyQForwardZero
+ ${catkin_LIBRARIES})
+endif(BUILD_HYQ_LINEARIZATION_TIMINGS)
+
+################ HyA #################
+#add_executable(HyALinearizationCodegen src/HyA/codegen/HyALinearizationCodeGen.cpp)
+#target_link_libraries(HyALinearizationCodegen ${catkin_LIBRARIES})
+
+add_library(HyALinearizedForward include/ct/models/HyA/codegen/HyALinearizedForward.cpp)
+target_link_libraries(HyALinearizedForward ${catkin_LIBRARIES} )
+
+add_library(HyAJacInverseDynamicsReverse include/ct/models/HyA/codegen/HyAInverseDynJacReverse.cpp)
+target_link_libraries(HyAJacInverseDynamicsReverse ${catkin_LIBRARIES} )
+
+if(BUILD_HYA_LINEARIZATION_TIMINGS)
+ add_library(HyALinearizedReverse include/ct/models/HyA/codegen/HyALinearizedReverse.cpp)
+ target_link_libraries(HyALinearizedReverse ${catkin_LIBRARIES} )
+
+ add_library(HyAJacInverseDynamicsForward include/ct/models/HyA/codegen/HyAInverseDynJacForward.cpp)
+ target_link_libraries(HyAJacInverseDynamicsForward ${catkin_LIBRARIES} )
+
+ add_executable(HyAcompareForwardReverse src/HyA/codegen/compareForwardReverse.cpp)
+ target_link_libraries(HyAcompareForwardReverse
+ HyALinearizedForward
+ HyALinearizedReverse
+ HyAJacInverseDynamicsForward
+ HyAJacInverseDynamicsReverse
+ ${catkin_LIBRARIES})
+endif(BUILD_HYA_LINEARIZATION_TIMINGS)
+
+
+################ Quadrotor #################
+## Declare a cpp library for the ordinary quadrotor
+add_library(quadrotorDynamics
+ src/Quadrotor/quadrotor_ode.cpp
+ src/Quadrotor/A_quadrotor.cpp
+ src/Quadrotor/B_quadrotor.cpp
+ src/Quadrotor/C_quadrotor.cpp)
+
+catkin_add_gtest(QuadrotorWithLoadTest test/QuadrotorWithLoad/QuadrotorWithLoadTest.cpp)
+target_link_libraries(QuadrotorWithLoadTest
+ ${catkin_LIBRARIES})
+
+
+## Unit tests
+catkin_add_gtest(HyaTest test/HyA/HyATest.cpp)
+target_link_libraries(HyaTest
+ ${catkin_LIBRARIES}
+ HyALinearizedForward)
+
+################ Inverse Kinematics #################
+add_library(hya_ik
+ src/HyA/transform6d.cpp
+)
+set_target_properties(hya_ik PROPERTIES COMPILE_FLAGS "-std=c++98 -fPIC -DIKFAST_NAMESPACE=hya_ik -DIKFAST_NO_MAIN -Wno-unused-variable")
+
+add_library(irb4600_ik
+ src/Irb4600/transform6d.cpp
+)
+set_target_properties(irb4600_ik PROPERTIES COMPILE_FLAGS "-std=c++98 -fPIC -DIKFAST_NAMESPACE=irb4600_ik -DIKFAST_NO_MAIN -Wno-unused-variable")
+
+
+if(BUILD_EXAMPLES)
+ message(STATUS "Building with examples.")
+
+ set(CT_MODELS_EXAMPLE_DIR "${CMAKE_CURRENT_SOURCE_DIR}/examples")
+ configure_file(${CMAKE_CURRENT_SOURCE_DIR}/examples/exampleDir.h.in ${CMAKE_CURRENT_SOURCE_DIR}/examples/exampleDir.h)
+
+ add_executable(ex_NLOC_MPC_invertedPendulum examples/InvertedPendulum/NLOC_MPC.cpp)
+ target_link_libraries(ex_NLOC_MPC_invertedPendulum ${catkin_LIBRARIES})
+endif()
+
+# Tests.
+catkin_add_gtest(ikfast_test test/IKFast/IKFastTest.cpp)
+target_link_libraries(ikfast_test
+ hya_ik
+ irb4600_ik
+ ${catkin_LIBRARIES})
+
+
+find_package(Doxygen)
+if(DOXYGEN_FOUND)
+ set(doxyfile_in ${CMAKE_CURRENT_SOURCE_DIR}/doc/ct_models.doxyfile)
+ set(doxyfile ${CMAKE_CURRENT_SOURCE_DIR}/Doxyfile)
+
+ configure_file(${doxyfile_in} ${doxyfile} @ONLY)
+
+ add_custom_target(doc
+ COMMAND ${CMAKE_COMMAND} -E echo_append "Building API Documentation..."
+ COMMAND ${DOXYGEN_EXECUTABLE} ${doxyfile}
+ WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/doc
+ COMMAND ${CMAKE_COMMAND} -E echo_append "API Documentation built in ${CMAKE_CURRENT_SOURCE_DIR}/doc"
+ VERBATIM)
+endif()
diff --git a/ct_models/Doxyfile b/ct_models/Doxyfile
new file mode 100644
index 0000000..e69fc49
--- /dev/null
+++ b/ct_models/Doxyfile
@@ -0,0 +1,2317 @@
+# Doxyfile 1.8.7
+
+# This file describes the settings to be used by the documentation system
+# doxygen (www.doxygen.org) for a project.
+#
+# All text after a double hash (##) is considered a comment and is placed in
+# front of the TAG it is preceding.
+#
+# All text after a single hash (#) is considered a comment and will be ignored.
+# The format is:
+# TAG = value [value, ...]
+# For lists, items can also be appended using:
+# TAG += value [value, ...]
+# Values that contain spaces should be placed between quotes (\" \").
+
+#---------------------------------------------------------------------------
+# Project related configuration options
+#---------------------------------------------------------------------------
+
+# This tag specifies the encoding used for all characters in the config file
+# that follow. The default is UTF-8 which is also the encoding used for all text
+# before the first occurrence of this tag. Doxygen uses libiconv (or the iconv
+# built into libc) for the transcoding. See http://www.gnu.org/software/libiconv
+# for the list of possible encodings.
+# The default value is: UTF-8.
+
+DOXYFILE_ENCODING = UTF-8
+
+# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
+# double-quotes, unless you are using Doxywizard) that should identify the
+# project for which the documentation is generated. This name is used in the
+# title of most generated pages and in a few other places.
+# The default value is: My Project.
+
+PROJECT_NAME = ct_models
+
+# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
+# could be handy for archiving the generated documentation or if some version
+# control system is used.
+
+PROJECT_NUMBER = v2.1
+
+# Using the PROJECT_BRIEF tag one can provide an optional one line description
+# for a project that appears at the top of each page and should give viewer a
+# quick idea about the purpose of the project. Keep the description short.
+
+PROJECT_BRIEF = "Control Toolbox - Models Module"
+
+# With the PROJECT_LOGO tag one can specify an logo or icon that is included in
+# the documentation. The maximum height of the logo should not exceed 55 pixels
+# and the maximum width should not exceed 200 pixels. Doxygen will copy the logo
+# to the output directory.
+
+PROJECT_LOGO =
+
+# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
+# into which the generated documentation will be written. If a relative path is
+# entered, it will be relative to the location where doxygen was started. If
+# left blank the current directory will be used.
+
+OUTPUT_DIRECTORY = .
+
+# If the CREATE_SUBDIRS tag is set to YES, then doxygen will create 4096 sub-
+# directories (in 2 levels) under the output directory of each output format and
+# will distribute the generated files over these directories. Enabling this
+# option can be useful when feeding doxygen a huge amount of source files, where
+# putting all generated files in the same directory would otherwise causes
+# performance problems for the file system.
+# The default value is: NO.
+
+CREATE_SUBDIRS = NO
+
+# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
+# characters to appear in the names of generated files. If set to NO, non-ASCII
+# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
+# U+3044.
+# The default value is: NO.
+
+ALLOW_UNICODE_NAMES = NO
+
+# The OUTPUT_LANGUAGE tag is used to specify the language in which all
+# documentation generated by doxygen is written. Doxygen will use this
+# information to generate all constant output in the proper language.
+# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese,
+# Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States),
+# Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian,
+# Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages),
+# Korean, Korean-en (Korean with English messages), Latvian, Lithuanian,
+# Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian,
+# Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish,
+# Ukrainian and Vietnamese.
+# The default value is: English.
+
+OUTPUT_LANGUAGE = English
+
+# If the BRIEF_MEMBER_DESC tag is set to YES doxygen will include brief member
+# descriptions after the members that are listed in the file and class
+# documentation (similar to Javadoc). Set to NO to disable this.
+# The default value is: YES.
+
+BRIEF_MEMBER_DESC = YES
+
+# If the REPEAT_BRIEF tag is set to YES doxygen will prepend the brief
+# description of a member or function before the detailed description
+#
+# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
+# brief descriptions will be completely suppressed.
+# The default value is: YES.
+
+REPEAT_BRIEF = YES
+
+# This tag implements a quasi-intelligent brief description abbreviator that is
+# used to form the text in various listings. Each string in this list, if found
+# as the leading text of the brief description, will be stripped from the text
+# and the result, after processing the whole list, is used as the annotated
+# text. Otherwise, the brief description is used as-is. If left blank, the
+# following values are used ($name is automatically replaced with the name of
+# the entity):The $name class, The $name widget, The $name file, is, provides,
+# specifies, contains, represents, a, an and the.
+
+ABBREVIATE_BRIEF =
+
+# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
+# doxygen will generate a detailed section even if there is only a brief
+# description.
+# The default value is: NO.
+
+ALWAYS_DETAILED_SEC = NO
+
+# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
+# inherited members of a class in the documentation of that class as if those
+# members were ordinary class members. Constructors, destructors and assignment
+# operators of the base classes will not be shown.
+# The default value is: NO.
+
+INLINE_INHERITED_MEMB = NO
+
+# If the FULL_PATH_NAMES tag is set to YES doxygen will prepend the full path
+# before files name in the file list and in the header files. If set to NO the
+# shortest path that makes the file name unique will be used
+# The default value is: YES.
+
+FULL_PATH_NAMES = YES
+
+# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
+# Stripping is only done if one of the specified strings matches the left-hand
+# part of the path. The tag can be used to show relative paths in the file list.
+# If left blank the directory from which doxygen is run is used as the path to
+# strip.
+#
+# Note that you can specify absolute paths here, but also relative paths, which
+# will be relative from the directory where doxygen is started.
+# This tag requires that the tag FULL_PATH_NAMES is set to YES.
+
+STRIP_FROM_PATH =
+
+# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
+# path mentioned in the documentation of a class, which tells the reader which
+# header file to include in order to use a class. If left blank only the name of
+# the header file containing the class definition is used. Otherwise one should
+# specify the list of include paths that are normally passed to the compiler
+# using the -I flag.
+
+STRIP_FROM_INC_PATH =
+
+# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
+# less readable) file names. This can be useful is your file systems doesn't
+# support long names like on DOS, Mac, or CD-ROM.
+# The default value is: NO.
+
+SHORT_NAMES = NO
+
+# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
+# first line (until the first dot) of a Javadoc-style comment as the brief
+# description. If set to NO, the Javadoc-style will behave just like regular Qt-
+# style comments (thus requiring an explicit @brief command for a brief
+# description.)
+# The default value is: NO.
+
+JAVADOC_AUTOBRIEF = NO
+
+# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
+# line (until the first dot) of a Qt-style comment as the brief description. If
+# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
+# requiring an explicit \brief command for a brief description.)
+# The default value is: NO.
+
+QT_AUTOBRIEF = NO
+
+# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
+# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
+# a brief description. This used to be the default behavior. The new default is
+# to treat a multi-line C++ comment block as a detailed description. Set this
+# tag to YES if you prefer the old behavior instead.
+#
+# Note that setting this tag to YES also means that rational rose comments are
+# not recognized any more.
+# The default value is: NO.
+
+MULTILINE_CPP_IS_BRIEF = NO
+
+# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
+# documentation from any documented member that it re-implements.
+# The default value is: YES.
+
+INHERIT_DOCS = YES
+
+# If the SEPARATE_MEMBER_PAGES tag is set to YES, then doxygen will produce a
+# new page for each member. If set to NO, the documentation of a member will be
+# part of the file/class/namespace that contains it.
+# The default value is: NO.
+
+SEPARATE_MEMBER_PAGES = NO
+
+# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
+# uses this value to replace tabs by spaces in code fragments.
+# Minimum value: 1, maximum value: 16, default value: 4.
+
+TAB_SIZE = 4
+
+# This tag can be used to specify a number of aliases that act as commands in
+# the documentation. An alias has the form:
+# name=value
+# For example adding
+# "sideeffect=@par Side Effects:\n"
+# will allow you to put the command \sideeffect (or @sideeffect) in the
+# documentation, which will result in a user-defined paragraph with heading
+# "Side Effects:". You can put \n's in the value part of an alias to insert
+# newlines.
+
+ALIASES =
+
+# This tag can be used to specify a number of word-keyword mappings (TCL only).
+# A mapping has the form "name=value". For example adding "class=itcl::class"
+# will allow you to use the command class in the itcl::class meaning.
+
+TCL_SUBST =
+
+# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
+# only. Doxygen will then generate output that is more tailored for C. For
+# instance, some of the names that are used will be different. The list of all
+# members will be omitted, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_FOR_C = NO
+
+# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
+# Python sources only. Doxygen will then generate output that is more tailored
+# for that language. For instance, namespaces will be presented as packages,
+# qualified scopes will look different, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_JAVA = NO
+
+# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
+# sources. Doxygen will then generate output that is tailored for Fortran.
+# The default value is: NO.
+
+OPTIMIZE_FOR_FORTRAN = NO
+
+# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
+# sources. Doxygen will then generate output that is tailored for VHDL.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_VHDL = NO
+
+# Doxygen selects the parser to use depending on the extension of the files it
+# parses. With this tag you can assign which parser to use for a given
+# extension. Doxygen has a built-in mapping, but you can override or extend it
+# using this tag. The format is ext=language, where ext is a file extension, and
+# language is one of the parsers supported by doxygen: IDL, Java, Javascript,
+# C#, C, C++, D, PHP, Objective-C, Python, Fortran (fixed format Fortran:
+# FortranFixed, free formatted Fortran: FortranFree, unknown formatted Fortran:
+# Fortran. In the later case the parser tries to guess whether the code is fixed
+# or free formatted code, this is the default for Fortran type files), VHDL. For
+# instance to make doxygen treat .inc files as Fortran files (default is PHP),
+# and .f files as C (default is Fortran), use: inc=Fortran f=C.
+#
+# Note For files without extension you can use no_extension as a placeholder.
+#
+# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
+# the files are not read by doxygen.
+
+EXTENSION_MAPPING =
+
+# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
+# according to the Markdown format, which allows for more readable
+# documentation. See http://daringfireball.net/projects/markdown/ for details.
+# The output of markdown processing is further processed by doxygen, so you can
+# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
+# case of backward compatibilities issues.
+# The default value is: YES.
+
+MARKDOWN_SUPPORT = YES
+
+# When enabled doxygen tries to link words that correspond to documented
+# classes, or namespaces to their corresponding documentation. Such a link can
+# be prevented in individual cases by by putting a % sign in front of the word
+# or globally by setting AUTOLINK_SUPPORT to NO.
+# The default value is: YES.
+
+AUTOLINK_SUPPORT = YES
+
+# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
+# to include (a tag file for) the STL sources as input, then you should set this
+# tag to YES in order to let doxygen match functions declarations and
+# definitions whose arguments contain STL classes (e.g. func(std::string);
+# versus func(std::string) {}). This also make the inheritance and collaboration
+# diagrams that involve STL classes more complete and accurate.
+# The default value is: NO.
+
+BUILTIN_STL_SUPPORT = NO
+
+# If you use Microsoft's C++/CLI language, you should set this option to YES to
+# enable parsing support.
+# The default value is: NO.
+
+CPP_CLI_SUPPORT = NO
+
+# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
+# http://www.riverbankcomputing.co.uk/software/sip/intro) sources only. Doxygen
+# will parse them like normal C++ but will assume all classes use public instead
+# of private inheritance when no explicit protection keyword is present.
+# The default value is: NO.
+
+SIP_SUPPORT = NO
+
+# For Microsoft's IDL there are propget and propput attributes to indicate
+# getter and setter methods for a property. Setting this option to YES will make
+# doxygen to replace the get and set methods by a property in the documentation.
+# This will only work if the methods are indeed getting or setting a simple
+# type. If this is not the case, or you want to show the methods anyway, you
+# should set this option to NO.
+# The default value is: YES.
+
+IDL_PROPERTY_SUPPORT = YES
+
+# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
+# tag is set to YES, then doxygen will reuse the documentation of the first
+# member in the group (if any) for the other members of the group. By default
+# all members of a group must be documented explicitly.
+# The default value is: NO.
+
+DISTRIBUTE_GROUP_DOC = YES
+
+# Set the SUBGROUPING tag to YES to allow class member groups of the same type
+# (for instance a group of public functions) to be put as a subgroup of that
+# type (e.g. under the Public Functions section). Set it to NO to prevent
+# subgrouping. Alternatively, this can be done per class using the
+# \nosubgrouping command.
+# The default value is: YES.
+
+SUBGROUPING = YES
+
+# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
+# are shown inside the group in which they are included (e.g. using \ingroup)
+# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
+# and RTF).
+#
+# Note that this feature does not work in combination with
+# SEPARATE_MEMBER_PAGES.
+# The default value is: NO.
+
+INLINE_GROUPED_CLASSES = NO
+
+# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
+# with only public data fields or simple typedef fields will be shown inline in
+# the documentation of the scope in which they are defined (i.e. file,
+# namespace, or group documentation), provided this scope is documented. If set
+# to NO, structs, classes, and unions are shown on a separate page (for HTML and
+# Man pages) or section (for LaTeX and RTF).
+# The default value is: NO.
+
+INLINE_SIMPLE_STRUCTS = NO
+
+# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
+# enum is documented as struct, union, or enum with the name of the typedef. So
+# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
+# with name TypeT. When disabled the typedef will appear as a member of a file,
+# namespace, or class. And the struct will be named TypeS. This can typically be
+# useful for C code in case the coding convention dictates that all compound
+# types are typedef'ed and only the typedef is referenced, never the tag name.
+# The default value is: NO.
+
+TYPEDEF_HIDES_STRUCT = NO
+
+# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
+# cache is used to resolve symbols given their name and scope. Since this can be
+# an expensive process and often the same symbol appears multiple times in the
+# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
+# doxygen will become slower. If the cache is too large, memory is wasted. The
+# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
+# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
+# symbols. At the end of a run doxygen will report the cache usage and suggest
+# the optimal cache size from a speed point of view.
+# Minimum value: 0, maximum value: 9, default value: 0.
+
+LOOKUP_CACHE_SIZE = 0
+
+#---------------------------------------------------------------------------
+# Build related configuration options
+#---------------------------------------------------------------------------
+
+# If the EXTRACT_ALL tag is set to YES doxygen will assume all entities in
+# documentation are documented, even if no documentation was available. Private
+# class members and static file members will be hidden unless the
+# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
+# Note: This will also disable the warnings about undocumented members that are
+# normally produced when WARNINGS is set to YES.
+# The default value is: NO.
+
+EXTRACT_ALL = YES
+
+# If the EXTRACT_PRIVATE tag is set to YES all private members of a class will
+# be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PRIVATE = NO
+
+# If the EXTRACT_PACKAGE tag is set to YES all members with package or internal
+# scope will be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PACKAGE = NO
+
+# If the EXTRACT_STATIC tag is set to YES all static members of a file will be
+# included in the documentation.
+# The default value is: NO.
+
+EXTRACT_STATIC = NO
+
+# If the EXTRACT_LOCAL_CLASSES tag is set to YES classes (and structs) defined
+# locally in source files will be included in the documentation. If set to NO
+# only classes defined in header files are included. Does not have any effect
+# for Java sources.
+# The default value is: YES.
+
+EXTRACT_LOCAL_CLASSES = YES
+
+# This flag is only useful for Objective-C code. When set to YES local methods,
+# which are defined in the implementation section but not in the interface are
+# included in the documentation. If set to NO only methods in the interface are
+# included.
+# The default value is: NO.
+
+EXTRACT_LOCAL_METHODS = NO
+
+# If this flag is set to YES, the members of anonymous namespaces will be
+# extracted and appear in the documentation as a namespace called
+# 'anonymous_namespace{file}', where file will be replaced with the base name of
+# the file that contains the anonymous namespace. By default anonymous namespace
+# are hidden.
+# The default value is: NO.
+
+EXTRACT_ANON_NSPACES = NO
+
+# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
+# undocumented members inside documented classes or files. If set to NO these
+# members will be included in the various overviews, but no documentation
+# section is generated. This option has no effect if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_MEMBERS = YES
+
+# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
+# undocumented classes that are normally visible in the class hierarchy. If set
+# to NO these classes will be included in the various overviews. This option has
+# no effect if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_CLASSES = YES
+
+# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
+# (class|struct|union) declarations. If set to NO these declarations will be
+# included in the documentation.
+# The default value is: NO.
+
+HIDE_FRIEND_COMPOUNDS = NO
+
+# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
+# documentation blocks found inside the body of a function. If set to NO these
+# blocks will be appended to the function's detailed documentation block.
+# The default value is: NO.
+
+HIDE_IN_BODY_DOCS = NO
+
+# The INTERNAL_DOCS tag determines if documentation that is typed after a
+# \internal command is included. If the tag is set to NO then the documentation
+# will be excluded. Set it to YES to include the internal documentation.
+# The default value is: NO.
+
+INTERNAL_DOCS = NO
+
+# If the CASE_SENSE_NAMES tag is set to NO then doxygen will only generate file
+# names in lower-case letters. If set to YES upper-case letters are also
+# allowed. This is useful if you have classes or files whose names only differ
+# in case and if your file system supports case sensitive file names. Windows
+# and Mac users are advised to set this option to NO.
+# The default value is: system dependent.
+
+CASE_SENSE_NAMES = YES
+
+# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
+# their full class and namespace scopes in the documentation. If set to YES the
+# scope will be hidden.
+# The default value is: NO.
+
+HIDE_SCOPE_NAMES = NO
+
+# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
+# the files that are included by a file in the documentation of that file.
+# The default value is: YES.
+
+SHOW_INCLUDE_FILES = YES
+
+# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
+# grouped member an include statement to the documentation, telling the reader
+# which file to include in order to use the member.
+# The default value is: NO.
+
+SHOW_GROUPED_MEMB_INC = NO
+
+# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
+# files with double quotes in the documentation rather than with sharp brackets.
+# The default value is: NO.
+
+FORCE_LOCAL_INCLUDES = NO
+
+# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
+# documentation for inline members.
+# The default value is: YES.
+
+INLINE_INFO = YES
+
+# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
+# (detailed) documentation of file and class members alphabetically by member
+# name. If set to NO the members will appear in declaration order.
+# The default value is: YES.
+
+SORT_MEMBER_DOCS = NO
+
+# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
+# descriptions of file, namespace and class members alphabetically by member
+# name. If set to NO the members will appear in declaration order. Note that
+# this will also influence the order of the classes in the class list.
+# The default value is: NO.
+
+SORT_BRIEF_DOCS = NO
+
+# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
+# (brief and detailed) documentation of class members so that constructors and
+# destructors are listed first. If set to NO the constructors will appear in the
+# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
+# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
+# member documentation.
+# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
+# detailed member documentation.
+# The default value is: NO.
+
+SORT_MEMBERS_CTORS_1ST = NO
+
+# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
+# of group names into alphabetical order. If set to NO the group names will
+# appear in their defined order.
+# The default value is: NO.
+
+SORT_GROUP_NAMES = NO
+
+# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
+# fully-qualified names, including namespaces. If set to NO, the class list will
+# be sorted only by class name, not including the namespace part.
+# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
+# Note: This option applies only to the class list, not to the alphabetical
+# list.
+# The default value is: NO.
+
+SORT_BY_SCOPE_NAME = NO
+
+# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
+# type resolution of all parameters of a function it will reject a match between
+# the prototype and the implementation of a member function even if there is
+# only one candidate or it is obvious which candidate to choose by doing a
+# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
+# accept a match between prototype and implementation in such cases.
+# The default value is: NO.
+
+STRICT_PROTO_MATCHING = NO
+
+# The GENERATE_TODOLIST tag can be used to enable ( YES) or disable ( NO) the
+# todo list. This list is created by putting \todo commands in the
+# documentation.
+# The default value is: YES.
+
+GENERATE_TODOLIST = YES
+
+# The GENERATE_TESTLIST tag can be used to enable ( YES) or disable ( NO) the
+# test list. This list is created by putting \test commands in the
+# documentation.
+# The default value is: YES.
+
+GENERATE_TESTLIST = YES
+
+# The GENERATE_BUGLIST tag can be used to enable ( YES) or disable ( NO) the bug
+# list. This list is created by putting \bug commands in the documentation.
+# The default value is: YES.
+
+GENERATE_BUGLIST = YES
+
+# The GENERATE_DEPRECATEDLIST tag can be used to enable ( YES) or disable ( NO)
+# the deprecated list. This list is created by putting \deprecated commands in
+# the documentation.
+# The default value is: YES.
+
+GENERATE_DEPRECATEDLIST= YES
+
+# The ENABLED_SECTIONS tag can be used to enable conditional documentation
+# sections, marked by \if <section_label> ... \endif and \cond <section_label>
+# ... \endcond blocks.
+
+ENABLED_SECTIONS =
+
+# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
+# initial value of a variable or macro / define can have for it to appear in the
+# documentation. If the initializer consists of more lines than specified here
+# it will be hidden. Use a value of 0 to hide initializers completely. The
+# appearance of the value of individual variables and macros / defines can be
+# controlled using \showinitializer or \hideinitializer command in the
+# documentation regardless of this setting.
+# Minimum value: 0, maximum value: 10000, default value: 30.
+
+MAX_INITIALIZER_LINES = 30
+
+# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
+# the bottom of the documentation of classes and structs. If set to YES the list
+# will mention the files that were used to generate the documentation.
+# The default value is: YES.
+
+SHOW_USED_FILES = YES
+
+# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
+# will remove the Files entry from the Quick Index and from the Folder Tree View
+# (if specified).
+# The default value is: YES.
+
+SHOW_FILES = YES
+
+# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
+# page. This will remove the Namespaces entry from the Quick Index and from the
+# Folder Tree View (if specified).
+# The default value is: YES.
+
+SHOW_NAMESPACES = YES
+
+# The FILE_VERSION_FILTER tag can be used to specify a program or script that
+# doxygen should invoke to get the current version for each file (typically from
+# the version control system). Doxygen will invoke the program by executing (via
+# popen()) the command command input-file, where command is the value of the
+# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
+# by doxygen. Whatever the program writes to standard output is used as the file
+# version. For an example see the documentation.
+
+FILE_VERSION_FILTER =
+
+# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
+# by doxygen. The layout file controls the global structure of the generated
+# output files in an output format independent way. To create the layout file
+# that represents doxygen's defaults, run doxygen with the -l option. You can
+# optionally specify a file name after the option, if omitted DoxygenLayout.xml
+# will be used as the name of the layout file.
+#
+# Note that if you run doxygen from a directory containing a file called
+# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
+# tag is left empty.
+
+LAYOUT_FILE = DoxygenLayout.xml
+
+# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
+# the reference definitions. This must be a list of .bib files. The .bib
+# extension is automatically appended if omitted. This requires the bibtex tool
+# to be installed. See also http://en.wikipedia.org/wiki/BibTeX for more info.
+# For LaTeX the style of the bibliography can be controlled using
+# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
+# search path. Do not use file names with spaces, bibtex cannot handle them. See
+# also \cite for info how to create references.
+
+CITE_BIB_FILES =
+
+#---------------------------------------------------------------------------
+# Configuration options related to warning and progress messages
+#---------------------------------------------------------------------------
+
+# The QUIET tag can be used to turn on/off the messages that are generated to
+# standard output by doxygen. If QUIET is set to YES this implies that the
+# messages are off.
+# The default value is: NO.
+
+QUIET = NO
+
+# The WARNINGS tag can be used to turn on/off the warning messages that are
+# generated to standard error ( stderr) by doxygen. If WARNINGS is set to YES
+# this implies that the warnings are on.
+#
+# Tip: Turn warnings on while writing the documentation.
+# The default value is: YES.
+
+WARNINGS = YES
+
+# If the WARN_IF_UNDOCUMENTED tag is set to YES, then doxygen will generate
+# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
+# will automatically be disabled.
+# The default value is: YES.
+
+WARN_IF_UNDOCUMENTED = YES
+
+# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
+# potential errors in the documentation, such as not documenting some parameters
+# in a documented function, or documenting parameters that don't exist or using
+# markup commands wrongly.
+# The default value is: YES.
+
+WARN_IF_DOC_ERROR = YES
+
+# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
+# are documented, but have no documentation for their parameters or return
+# value. If set to NO doxygen will only warn about wrong or incomplete parameter
+# documentation, but not about the absence of documentation.
+# The default value is: NO.
+
+WARN_NO_PARAMDOC = NO
+
+# The WARN_FORMAT tag determines the format of the warning messages that doxygen
+# can produce. The string should contain the $file, $line, and $text tags, which
+# will be replaced by the file and line number from which the warning originated
+# and the warning text. Optionally the format may contain $version, which will
+# be replaced by the version of the file (if it could be obtained via
+# FILE_VERSION_FILTER)
+# The default value is: $file:$line: $text.
+
+WARN_FORMAT = "$file:$line: $text"
+
+# The WARN_LOGFILE tag can be used to specify a file to which warning and error
+# messages should be written. If left blank the output is written to standard
+# error (stderr).
+
+WARN_LOGFILE =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the input files
+#---------------------------------------------------------------------------
+
+# The INPUT tag is used to specify the files and/or directories that contain
+# documented source files. You may enter file names like myfile.cpp or
+# directories like /usr/src/myproject. Separate the files or directories with
+# spaces.
+# Note: If this tag is empty the current directory is searched.
+
+INPUT = ../ ./
+
+# This tag can be used to specify the character encoding of the source files
+# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
+# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
+# documentation (see: http://www.gnu.org/software/libiconv) for the list of
+# possible encodings.
+# The default value is: UTF-8.
+
+INPUT_ENCODING = UTF-8
+
+# If the value of the INPUT tag contains directories, you can use the
+# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
+# *.h) to filter out the source-files in the directories. If left blank the
+# following patterns are tested:*.c, *.cc, *.cxx, *.cpp, *.c++, *.java, *.ii,
+# *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp,
+# *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown,
+# *.md, *.mm, *.dox, *.py, *.f90, *.f, *.for, *.tcl, *.vhd, *.vhdl, *.ucf,
+# *.qsf, *.as and *.js.
+
+FILE_PATTERNS =
+
+# The RECURSIVE tag can be used to specify whether or not subdirectories should
+# be searched for input files as well.
+# The default value is: NO.
+
+RECURSIVE = YES
+
+# The EXCLUDE tag can be used to specify files and/or directories that should be
+# excluded from the INPUT source files. This way you can easily exclude a
+# subdirectory from a directory tree whose root is specified with the INPUT tag.
+#
+# Note that relative paths are relative to the directory from which doxygen is
+# run.
+
+EXCLUDE =
+
+# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
+# directories that are symbolic links (a Unix file system feature) are excluded
+# from the input.
+# The default value is: NO.
+
+EXCLUDE_SYMLINKS = NO
+
+# If the value of the INPUT tag contains directories, you can use the
+# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
+# certain files from those directories.
+#
+# Note that the wildcards are matched against the file with absolute path, so to
+# exclude all test directories for example use the pattern */test/*
+
+EXCLUDE_PATTERNS = */external/cppad/* \
+ */src/codegen/* \
+ */generated/jacobians* \
+ */generated/transforms*
+
+# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
+# (namespaces, classes, functions, etc.) that should be excluded from the
+# output. The symbol name can be a fully qualified name, a word, or if the
+# wildcard * is used, a substring. Examples: ANamespace, AClass,
+# AClass::ANamespace, ANamespace::*Test
+#
+# Note that the wildcards are matched against the file with absolute path, so to
+# exclude all test directories use the pattern */test/*
+
+EXCLUDE_SYMBOLS =
+
+# The EXAMPLE_PATH tag can be used to specify one or more files or directories
+# that contain example code fragments that are included (see the \include
+# command).
+
+EXAMPLE_PATH = ../test
+
+# If the value of the EXAMPLE_PATH tag contains directories, you can use the
+# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
+# *.h) to filter out the source-files in the directories. If left blank all
+# files are included.
+
+EXAMPLE_PATTERNS =
+
+# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
+# searched for input files to be used with the \include or \dontinclude commands
+# irrespective of the value of the RECURSIVE tag.
+# The default value is: NO.
+
+EXAMPLE_RECURSIVE = NO
+
+# The IMAGE_PATH tag can be used to specify one or more files or directories
+# that contain images that are to be included in the documentation (see the
+# \image command).
+
+IMAGE_PATH =
+
+# The INPUT_FILTER tag can be used to specify a program that doxygen should
+# invoke to filter for each input file. Doxygen will invoke the filter program
+# by executing (via popen()) the command:
+#
+# <filter> <input-file>
+#
+# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
+# name of an input file. Doxygen will then use the output that the filter
+# program writes to standard output. If FILTER_PATTERNS is specified, this tag
+# will be ignored.
+#
+# Note that the filter must not add or remove lines; it is applied before the
+# code is scanned, but not when the output code is generated. If lines are added
+# or removed, the anchors will not be placed correctly.
+
+INPUT_FILTER =
+
+# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
+# basis. Doxygen will compare the file name with each pattern and apply the
+# filter if there is a match. The filters are a list of the form: pattern=filter
+# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
+# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
+# patterns match the file name, INPUT_FILTER is applied.
+
+FILTER_PATTERNS =
+
+# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
+# INPUT_FILTER ) will also be used to filter the input files that are used for
+# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
+# The default value is: NO.
+
+FILTER_SOURCE_FILES = NO
+
+# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
+# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
+# it is also possible to disable source filtering for a specific pattern using
+# *.ext= (so without naming a filter).
+# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
+
+FILTER_SOURCE_PATTERNS =
+
+# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
+# is part of the input, its contents will be placed on the main page
+# (index.html). This can be useful if you have a project on for instance GitHub
+# and want to reuse the introduction page also for the doxygen output.
+
+USE_MDFILE_AS_MAINPAGE =
+
+#---------------------------------------------------------------------------
+# Configuration options related to source browsing
+#---------------------------------------------------------------------------
+
+# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
+# generated. Documented entities will be cross-referenced with these sources.
+#
+# Note: To get rid of all source code in the generated output, make sure that
+# also VERBATIM_HEADERS is set to NO.
+# The default value is: NO.
+
+SOURCE_BROWSER = NO
+
+# Setting the INLINE_SOURCES tag to YES will include the body of functions,
+# classes and enums directly into the documentation.
+# The default value is: NO.
+
+INLINE_SOURCES = NO
+
+# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
+# special comment blocks from generated source code fragments. Normal C, C++ and
+# Fortran comments will always remain visible.
+# The default value is: YES.
+
+STRIP_CODE_COMMENTS = YES
+
+# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
+# function all documented functions referencing it will be listed.
+# The default value is: NO.
+
+REFERENCED_BY_RELATION = YES
+
+# If the REFERENCES_RELATION tag is set to YES then for each documented function
+# all documented entities called/used by that function will be listed.
+# The default value is: NO.
+
+REFERENCES_RELATION = YES
+
+# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
+# to YES, then the hyperlinks from functions in REFERENCES_RELATION and
+# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
+# link to the documentation.
+# The default value is: YES.
+
+REFERENCES_LINK_SOURCE = YES
+
+# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
+# source code will show a tooltip with additional information such as prototype,
+# brief description and links to the definition and documentation. Since this
+# will make the HTML file larger and loading of large files a bit slower, you
+# can opt to disable this feature.
+# The default value is: YES.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+SOURCE_TOOLTIPS = YES
+
+# If the USE_HTAGS tag is set to YES then the references to source code will
+# point to the HTML generated by the htags(1) tool instead of doxygen built-in
+# source browser. The htags tool is part of GNU's global source tagging system
+# (see http://www.gnu.org/software/global/global.html). You will need version
+# 4.8.6 or higher.
+#
+# To use it do the following:
+# - Install the latest version of global
+# - Enable SOURCE_BROWSER and USE_HTAGS in the config file
+# - Make sure the INPUT points to the root of the source tree
+# - Run doxygen as normal
+#
+# Doxygen will invoke htags (and that will in turn invoke gtags), so these
+# tools must be available from the command line (i.e. in the search path).
+#
+# The result: instead of the source browser generated by doxygen, the links to
+# source code will now point to the output of htags.
+# The default value is: NO.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+USE_HTAGS = NO
+
+# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
+# verbatim copy of the header file for each class for which an include is
+# specified. Set to NO to disable this.
+# See also: Section \class.
+# The default value is: YES.
+
+VERBATIM_HEADERS = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to the alphabetical class index
+#---------------------------------------------------------------------------
+
+# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
+# compounds will be generated. Enable this if the project contains a lot of
+# classes, structs, unions or interfaces.
+# The default value is: YES.
+
+ALPHABETICAL_INDEX = YES
+
+# The COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns in
+# which the alphabetical index list will be split.
+# Minimum value: 1, maximum value: 20, default value: 5.
+# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
+
+COLS_IN_ALPHA_INDEX = 5
+
+# In case all classes in a project start with a common prefix, all classes will
+# be put under the same header in the alphabetical index. The IGNORE_PREFIX tag
+# can be used to specify a prefix (or a list of prefixes) that should be ignored
+# while generating the index headers.
+# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
+
+IGNORE_PREFIX =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the HTML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_HTML tag is set to YES doxygen will generate HTML output
+# The default value is: YES.
+
+GENERATE_HTML = YES
+
+# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_OUTPUT = html
+
+# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
+# generated HTML page (for example: .htm, .php, .asp).
+# The default value is: .html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FILE_EXTENSION = .html
+
+# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
+# each generated HTML page. If the tag is left blank doxygen will generate a
+# standard header.
+#
+# To get valid HTML the header file that includes any scripts and style sheets
+# that doxygen needs, which is dependent on the configuration options used (e.g.
+# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
+# default header using
+# doxygen -w html new_header.html new_footer.html new_stylesheet.css
+# YourConfigFile
+# and then modify the file new_header.html. See also section "Doxygen usage"
+# for information on how to generate the default header that doxygen normally
+# uses.
+# Note: The header is subject to change so you typically have to regenerate the
+# default header when upgrading to a newer version of doxygen. For a description
+# of the possible markers and block names see the documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_HEADER =
+
+# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
+# generated HTML page. If the tag is left blank doxygen will generate a standard
+# footer. See HTML_HEADER for more information on how to generate a default
+# footer and what special commands can be used inside the footer. See also
+# section "Doxygen usage" for information on how to generate the default footer
+# that doxygen normally uses.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FOOTER =
+
+# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
+# sheet that is used by each HTML page. It can be used to fine-tune the look of
+# the HTML output. If left blank doxygen will generate a default style sheet.
+# See also section "Doxygen usage" for information on how to generate the style
+# sheet that doxygen normally uses.
+# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
+# it is more robust and this tag (HTML_STYLESHEET) will in the future become
+# obsolete.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_STYLESHEET =
+
+# The HTML_EXTRA_STYLESHEET tag can be used to specify an additional user-
+# defined cascading style sheet that is included after the standard style sheets
+# created by doxygen. Using this option one can overrule certain style aspects.
+# This is preferred over using HTML_STYLESHEET since it does not replace the
+# standard style sheet and is therefor more robust against future updates.
+# Doxygen will copy the style sheet file to the output directory. For an example
+# see the documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_STYLESHEET =
+
+# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the HTML output directory. Note
+# that these files will be copied to the base HTML output directory. Use the
+# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
+# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
+# files will be copied as-is; there are no commands or markers available.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_FILES =
+
+# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
+# will adjust the colors in the stylesheet and background images according to
+# this color. Hue is specified as an angle on a colorwheel, see
+# http://en.wikipedia.org/wiki/Hue for more information. For instance the value
+# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
+# purple, and 360 is red again.
+# Minimum value: 0, maximum value: 359, default value: 220.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_HUE = 160
+
+# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
+# in the HTML output. For a value of 0 the output will use grayscales only. A
+# value of 255 will produce the most vivid colors.
+# Minimum value: 0, maximum value: 255, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_SAT = 100
+
+# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
+# luminance component of the colors in the HTML output. Values below 100
+# gradually make the output lighter, whereas values above 100 make the output
+# darker. The value divided by 100 is the actual gamma applied, so 80 represents
+# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
+# change the gamma.
+# Minimum value: 40, maximum value: 240, default value: 80.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_GAMMA = 80
+
+# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
+# page will contain the date and time when the page was generated. Setting this
+# to NO can help when comparing the output of multiple runs.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_TIMESTAMP = YES
+
+# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
+# documentation will contain sections that can be hidden and shown after the
+# page has loaded.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_DYNAMIC_SECTIONS = NO
+
+# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
+# shown in the various tree structured indices initially; the user can expand
+# and collapse entries dynamically later on. Doxygen will expand the tree to
+# such a level that at most the specified number of entries are visible (unless
+# a fully collapsed tree already exceeds this amount). So setting the number of
+# entries 1 will produce a full collapsed tree by default. 0 is a special value
+# representing an infinite number of entries and will result in a full expanded
+# tree by default.
+# Minimum value: 0, maximum value: 9999, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_INDEX_NUM_ENTRIES = 100
+
+# If the GENERATE_DOCSET tag is set to YES, additional index files will be
+# generated that can be used as input for Apple's Xcode 3 integrated development
+# environment (see: http://developer.apple.com/tools/xcode/), introduced with
+# OSX 10.5 (Leopard). To create a documentation set, doxygen will generate a
+# Makefile in the HTML output directory. Running make will produce the docset in
+# that directory and running make install will install the docset in
+# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
+# startup. See http://developer.apple.com/tools/creatingdocsetswithdoxygen.html
+# for more information.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_DOCSET = NO
+
+# This tag determines the name of the docset feed. A documentation feed provides
+# an umbrella under which multiple documentation sets from a single provider
+# (such as a company or product suite) can be grouped.
+# The default value is: Doxygen generated docs.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_FEEDNAME = "Doxygen generated docs"
+
+# This tag specifies a string that should uniquely identify the documentation
+# set bundle. This should be a reverse domain-name style string, e.g.
+# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_BUNDLE_ID = org.doxygen.Project
+
+# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
+# the documentation publisher. This should be a reverse domain-name style
+# string, e.g. com.mycompany.MyDocSet.documentation.
+# The default value is: org.doxygen.Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_ID = org.doxygen.Publisher
+
+# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
+# The default value is: Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_NAME = Publisher
+
+# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
+# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
+# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
+# (see: http://www.microsoft.com/en-us/download/details.aspx?id=21138) on
+# Windows.
+#
+# The HTML Help Workshop contains a compiler that can convert all HTML output
+# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
+# files are now used as the Windows 98 help format, and will replace the old
+# Windows help format (.hlp) on all Windows platforms in the future. Compressed
+# HTML files also contain an index, a table of contents, and you can search for
+# words in the documentation. The HTML workshop also contains a viewer for
+# compressed HTML files.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_HTMLHELP = NO
+
+# The CHM_FILE tag can be used to specify the file name of the resulting .chm
+# file. You can add a path in front of the file if the result should not be
+# written to the html output directory.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_FILE =
+
+# The HHC_LOCATION tag can be used to specify the location (absolute path
+# including file name) of the HTML help compiler ( hhc.exe). If non-empty
+# doxygen will try to run the HTML help compiler on the generated index.hhp.
+# The file has to be specified with full path.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+HHC_LOCATION =
+
+# The GENERATE_CHI flag controls if a separate .chi index file is generated (
+# YES) or that it should be included in the master .chm file ( NO).
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+GENERATE_CHI = NO
+
+# The CHM_INDEX_ENCODING is used to encode HtmlHelp index ( hhk), content ( hhc)
+# and project file content.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_INDEX_ENCODING =
+
+# The BINARY_TOC flag controls whether a binary table of contents is generated (
+# YES) or a normal table of contents ( NO) in the .chm file. Furthermore it
+# enables the Previous and Next buttons.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+BINARY_TOC = NO
+
+# The TOC_EXPAND flag can be set to YES to add extra items for group members to
+# the table of contents of the HTML help documentation and to the tree view.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+TOC_EXPAND = NO
+
+# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
+# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
+# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
+# (.qch) of the generated HTML documentation.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_QHP = NO
+
+# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
+# the file name of the resulting .qch file. The path specified is relative to
+# the HTML output folder.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QCH_FILE =
+
+# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
+# Project output. For more information please see Qt Help Project / Namespace
+# (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#namespace).
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_NAMESPACE = org.doxygen.Project
+
+# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
+# Help Project output. For more information please see Qt Help Project / Virtual
+# Folders (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#virtual-
+# folders).
+# The default value is: doc.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_VIRTUAL_FOLDER = doc
+
+# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
+# filter to add. For more information please see Qt Help Project / Custom
+# Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom-
+# filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_NAME =
+
+# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
+# custom filter to add. For more information please see Qt Help Project / Custom
+# Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom-
+# filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_ATTRS =
+
+# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
+# project's filter section matches. Qt Help Project / Filter Attributes (see:
+# http://qt-project.org/doc/qt-4.8/qthelpproject.html#filter-attributes).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_SECT_FILTER_ATTRS =
+
+# The QHG_LOCATION tag can be used to specify the location of Qt's
+# qhelpgenerator. If non-empty doxygen will try to run qhelpgenerator on the
+# generated .qhp file.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHG_LOCATION =
+
+# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
+# generated, together with the HTML files, they form an Eclipse help plugin. To
+# install this plugin and make it available under the help contents menu in
+# Eclipse, the contents of the directory containing the HTML and XML files needs
+# to be copied into the plugins directory of eclipse. The name of the directory
+# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
+# After copying Eclipse needs to be restarted before the help appears.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_ECLIPSEHELP = NO
+
+# A unique identifier for the Eclipse help plugin. When installing the plugin
+# the directory name containing the HTML and XML files should also have this
+# name. Each documentation set should have its own identifier.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
+
+ECLIPSE_DOC_ID = org.doxygen.Project
+
+# If you want full control over the layout of the generated HTML pages it might
+# be necessary to disable the index and replace it with your own. The
+# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
+# of each HTML page. A value of NO enables the index and the value YES disables
+# it. Since the tabs in the index contain the same information as the navigation
+# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+DISABLE_INDEX = NO
+
+# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
+# structure should be generated to display hierarchical information. If the tag
+# value is set to YES, a side panel will be generated containing a tree-like
+# index structure (just like the one that is generated for HTML Help). For this
+# to work a browser that supports JavaScript, DHTML, CSS and frames is required
+# (i.e. any modern browser). Windows users are probably better off using the
+# HTML help feature. Via custom stylesheets (see HTML_EXTRA_STYLESHEET) one can
+# further fine-tune the look of the index. As an example, the default style
+# sheet generated by doxygen has an example that shows how to put an image at
+# the root of the tree instead of the PROJECT_NAME. Since the tree basically has
+# the same information as the tab index, you could consider setting
+# DISABLE_INDEX to YES when enabling this option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_TREEVIEW = YES
+
+# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
+# doxygen will group on one line in the generated HTML documentation.
+#
+# Note that a value of 0 will completely suppress the enum values from appearing
+# in the overview section.
+# Minimum value: 0, maximum value: 20, default value: 4.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+ENUM_VALUES_PER_LINE = 4
+
+# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
+# to set the initial width (in pixels) of the frame in which the tree is shown.
+# Minimum value: 0, maximum value: 1500, default value: 250.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+TREEVIEW_WIDTH = 250
+
+# When the EXT_LINKS_IN_WINDOW option is set to YES doxygen will open links to
+# external symbols imported via tag files in a separate window.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+EXT_LINKS_IN_WINDOW = NO
+
+# Use this tag to change the font size of LaTeX formulas included as images in
+# the HTML documentation. When you change the font size after a successful
+# doxygen run you need to manually remove any form_*.png images from the HTML
+# output directory to force them to be regenerated.
+# Minimum value: 8, maximum value: 50, default value: 10.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FORMULA_FONTSIZE = 10
+
+# Use the FORMULA_TRANPARENT tag to determine whether or not the images
+# generated for formulas are transparent PNGs. Transparent PNGs are not
+# supported properly for IE 6.0, but are supported on all modern browsers.
+#
+# Note that when changing this option you need to delete any form_*.png files in
+# the HTML output directory before the changes have effect.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FORMULA_TRANSPARENT = YES
+
+# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
+# http://www.mathjax.org) which uses client side Javascript for the rendering
+# instead of using prerendered bitmaps. Use this if you do not have LaTeX
+# installed or if you want to formulas look prettier in the HTML output. When
+# enabled you may also need to install MathJax separately and configure the path
+# to it using the MATHJAX_RELPATH option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+USE_MATHJAX = NO
+
+# When MathJax is enabled you can set the default output format to be used for
+# the MathJax output. See the MathJax site (see:
+# http://docs.mathjax.org/en/latest/output.html) for more details.
+# Possible values are: HTML-CSS (which is slower, but has the best
+# compatibility), NativeMML (i.e. MathML) and SVG.
+# The default value is: HTML-CSS.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_FORMAT = HTML-CSS
+
+# When MathJax is enabled you need to specify the location relative to the HTML
+# output directory using the MATHJAX_RELPATH option. The destination directory
+# should contain the MathJax.js script. For instance, if the mathjax directory
+# is located at the same level as the HTML output directory, then
+# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
+# Content Delivery Network so you can quickly see the result without installing
+# MathJax. However, it is strongly recommended to install a local copy of
+# MathJax from http://www.mathjax.org before deployment.
+# The default value is: http://cdn.mathjax.org/mathjax/latest.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_RELPATH = http://cdn.mathjax.org/mathjax/latest
+
+# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
+# extension names that should be enabled during MathJax rendering. For example
+# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_EXTENSIONS =
+
+# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
+# of code that will be used on startup of the MathJax code. See the MathJax site
+# (see: http://docs.mathjax.org/en/latest/output.html) for more details. For an
+# example see the documentation.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_CODEFILE =
+
+# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
+# the HTML output. The underlying search engine uses javascript and DHTML and
+# should work on any modern browser. Note that when using HTML help
+# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
+# there is already a search function so this one should typically be disabled.
+# For large projects the javascript based search engine can be slow, then
+# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
+# search using the keyboard; to jump to the search box use <access key> + S
+# (what the <access key> is depends on the OS and browser, but it is typically
+# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
+# key> to jump into the search results window, the results can be navigated
+# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
+# the search. The filter options can be selected when the cursor is inside the
+# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
+# to select a filter and <Enter> or <escape> to activate or cancel the filter
+# option.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+SEARCHENGINE = YES
+
+# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
+# implemented using a web server instead of a web client using Javascript. There
+# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
+# setting. When disabled, doxygen will generate a PHP script for searching and
+# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
+# and searching needs to be provided by external tools. See the section
+# "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SERVER_BASED_SEARCH = NO
+
+# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
+# script for searching. Instead the search results are written to an XML file
+# which needs to be processed by an external indexer. Doxygen will invoke an
+# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
+# search results.
+#
+# Doxygen ships with an example indexer ( doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see: http://xapian.org/).
+#
+# See the section "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH = NO
+
+# The SEARCHENGINE_URL should point to a search engine hosted by a web server
+# which will return the search results when EXTERNAL_SEARCH is enabled.
+#
+# Doxygen ships with an example indexer ( doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see: http://xapian.org/). See the section "External Indexing and
+# Searching" for details.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHENGINE_URL =
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
+# search data is written to a file for indexing by an external tool. With the
+# SEARCHDATA_FILE tag the name of this file can be specified.
+# The default file is: searchdata.xml.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHDATA_FILE = searchdata.xml
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
+# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
+# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
+# projects and redirect the results back to the right project.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH_ID =
+
+# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
+# projects other than the one defined by this configuration file, but that are
+# all added to the same external search index. Each project needs to have a
+# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
+# to a relative location where the documentation can be found. The format is:
+# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTRA_SEARCH_MAPPINGS =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the LaTeX output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_LATEX tag is set to YES doxygen will generate LaTeX output.
+# The default value is: YES.
+
+GENERATE_LATEX = NO
+
+# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: latex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_OUTPUT = latex
+
+# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
+# invoked.
+#
+# Note that when enabling USE_PDFLATEX this option is only used for generating
+# bitmaps for formulas in the HTML output, but not in the Makefile that is
+# written to the output directory.
+# The default file is: latex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_CMD_NAME = latex
+
+# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
+# index for LaTeX.
+# The default file is: makeindex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+MAKEINDEX_CMD_NAME = makeindex
+
+# If the COMPACT_LATEX tag is set to YES doxygen generates more compact LaTeX
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+COMPACT_LATEX = NO
+
+# The PAPER_TYPE tag can be used to set the paper type that is used by the
+# printer.
+# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
+# 14 inches) and executive (7.25 x 10.5 inches).
+# The default value is: a4.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PAPER_TYPE = a4
+
+# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
+# that should be included in the LaTeX output. To get the times font for
+# instance you can specify
+# EXTRA_PACKAGES=times
+# If left blank no extra packages will be included.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+EXTRA_PACKAGES =
+
+# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the
+# generated LaTeX document. The header should contain everything until the first
+# chapter. If it is left blank doxygen will generate a standard header. See
+# section "Doxygen usage" for information on how to let doxygen write the
+# default header to a separate file.
+#
+# Note: Only use a user-defined header if you know what you are doing! The
+# following commands have a special meaning inside the header: $title,
+# $datetime, $date, $doxygenversion, $projectname, $projectnumber. Doxygen will
+# replace them by respectively the title of the page, the current date and time,
+# only the current date, the version number of doxygen, the project name (see
+# PROJECT_NAME), or the project number (see PROJECT_NUMBER).
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HEADER =
+
+# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the
+# generated LaTeX document. The footer should contain everything after the last
+# chapter. If it is left blank doxygen will generate a standard footer.
+#
+# Note: Only use a user-defined footer if you know what you are doing!
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_FOOTER =
+
+# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the LATEX_OUTPUT output
+# directory. Note that the files will be copied as-is; there are no commands or
+# markers available.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EXTRA_FILES =
+
+# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
+# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
+# contain links (just like the HTML output) instead of page references. This
+# makes the output suitable for online browsing using a PDF viewer.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PDF_HYPERLINKS = YES
+
+# If the LATEX_PDFLATEX tag is set to YES, doxygen will use pdflatex to generate
+# the PDF file directly from the LaTeX files. Set this option to YES to get a
+# higher quality PDF documentation.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+USE_PDFLATEX = YES
+
+# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode
+# command to the generated LaTeX files. This will instruct LaTeX to keep running
+# if errors occur, instead of asking the user for help. This option is also used
+# when generating formulas in HTML.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BATCHMODE = NO
+
+# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
+# index chapters (such as File Index, Compound Index, etc.) in the output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HIDE_INDICES = NO
+
+# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source
+# code with syntax highlighting in the LaTeX output.
+#
+# Note that which sources are shown also depends on other settings such as
+# SOURCE_BROWSER.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_SOURCE_CODE = NO
+
+# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
+# bibliography, e.g. plainnat, or ieeetr. See
+# http://en.wikipedia.org/wiki/BibTeX and \cite for more info.
+# The default value is: plain.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BIB_STYLE = plain
+
+#---------------------------------------------------------------------------
+# Configuration options related to the RTF output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_RTF tag is set to YES doxygen will generate RTF output. The
+# RTF output is optimized for Word 97 and may not look too pretty with other RTF
+# readers/editors.
+# The default value is: NO.
+
+GENERATE_RTF = NO
+
+# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: rtf.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_OUTPUT = rtf
+
+# If the COMPACT_RTF tag is set to YES doxygen generates more compact RTF
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+COMPACT_RTF = NO
+
+# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
+# contain hyperlink fields. The RTF file will contain links (just like the HTML
+# output) instead of page references. This makes the output suitable for online
+# browsing using Word or some other Word compatible readers that support those
+# fields.
+#
+# Note: WordPad (write) and others do not support links.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_HYPERLINKS = NO
+
+# Load stylesheet definitions from file. Syntax is similar to doxygen's config
+# file, i.e. a series of assignments. You only have to provide replacements,
+# missing definitions are set to their default value.
+#
+# See also section "Doxygen usage" for information on how to generate the
+# default style sheet that doxygen normally uses.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_STYLESHEET_FILE =
+
+# Set optional variables used in the generation of an RTF document. Syntax is
+# similar to doxygen's config file. A template extensions file can be generated
+# using doxygen -e rtf extensionFile.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_EXTENSIONS_FILE =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the man page output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_MAN tag is set to YES doxygen will generate man pages for
+# classes and files.
+# The default value is: NO.
+
+GENERATE_MAN = NO
+
+# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it. A directory man3 will be created inside the directory specified by
+# MAN_OUTPUT.
+# The default directory is: man.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_OUTPUT = man
+
+# The MAN_EXTENSION tag determines the extension that is added to the generated
+# man pages. In case the manual section does not start with a number, the number
+# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
+# optional.
+# The default value is: .3.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_EXTENSION = .3
+
+# The MAN_SUBDIR tag determines the name of the directory created within
+# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
+# MAN_EXTENSION with the initial . removed.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_SUBDIR =
+
+# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
+# will generate one additional man file for each entity documented in the real
+# man page(s). These additional files only source the real man page, but without
+# them the man command would be unable to find the correct page.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_LINKS = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the XML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_XML tag is set to YES doxygen will generate an XML file that
+# captures the structure of the code including all documentation.
+# The default value is: NO.
+
+GENERATE_XML = NO
+
+# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: xml.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_OUTPUT = xml
+
+# If the XML_PROGRAMLISTING tag is set to YES doxygen will dump the program
+# listings (including syntax highlighting and cross-referencing information) to
+# the XML output. Note that enabling this will significantly increase the size
+# of the XML output.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_PROGRAMLISTING = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to the DOCBOOK output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_DOCBOOK tag is set to YES doxygen will generate Docbook files
+# that can be used to generate PDF.
+# The default value is: NO.
+
+GENERATE_DOCBOOK = NO
+
+# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
+# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
+# front of it.
+# The default directory is: docbook.
+# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
+
+DOCBOOK_OUTPUT = docbook
+
+#---------------------------------------------------------------------------
+# Configuration options for the AutoGen Definitions output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_AUTOGEN_DEF tag is set to YES doxygen will generate an AutoGen
+# Definitions (see http://autogen.sf.net) file that captures the structure of
+# the code including all documentation. Note that this feature is still
+# experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_AUTOGEN_DEF = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the Perl module output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_PERLMOD tag is set to YES doxygen will generate a Perl module
+# file that captures the structure of the code including all documentation.
+#
+# Note that this feature is still experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_PERLMOD = NO
+
+# If the PERLMOD_LATEX tag is set to YES doxygen will generate the necessary
+# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI
+# output from the Perl module output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_LATEX = NO
+
+# If the PERLMOD_PRETTY tag is set to YES the Perl module output will be nicely
+# formatted so it can be parsed by a human reader. This is useful if you want to
+# understand what is going on. On the other hand, if this tag is set to NO the
+# size of the Perl module output will be much smaller and Perl will parse it
+# just the same.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_PRETTY = YES
+
+# The names of the make variables in the generated doxyrules.make file are
+# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful
+# so different doxyrules.make files included by the same Makefile don't
+# overwrite each other's variables.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_MAKEVAR_PREFIX =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the preprocessor
+#---------------------------------------------------------------------------
+
+# If the ENABLE_PREPROCESSING tag is set to YES doxygen will evaluate all
+# C-preprocessor directives found in the sources and include files.
+# The default value is: YES.
+
+ENABLE_PREPROCESSING = YES
+
+# If the MACRO_EXPANSION tag is set to YES doxygen will expand all macro names
+# in the source code. If set to NO only conditional compilation will be
+# performed. Macro expansion can be done in a controlled way by setting
+# EXPAND_ONLY_PREDEF to YES.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+MACRO_EXPANSION = NO
+
+# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
+# the macro expansion is limited to the macros specified with the PREDEFINED and
+# EXPAND_AS_DEFINED tags.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_ONLY_PREDEF = NO
+
+# If the SEARCH_INCLUDES tag is set to YES the includes files in the
+# INCLUDE_PATH will be searched if a #include is found.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SEARCH_INCLUDES = YES
+
+# The INCLUDE_PATH tag can be used to specify one or more directories that
+# contain include files that are not input files but should be processed by the
+# preprocessor.
+# This tag requires that the tag SEARCH_INCLUDES is set to YES.
+
+INCLUDE_PATH =
+
+# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
+# patterns (like *.h and *.hpp) to filter out the header-files in the
+# directories. If left blank, the patterns specified with FILE_PATTERNS will be
+# used.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+INCLUDE_FILE_PATTERNS =
+
+# The PREDEFINED tag can be used to specify one or more macro names that are
+# defined before the preprocessor is started (similar to the -D option of e.g.
+# gcc). The argument of the tag is a list of macros of the form: name or
+# name=definition (no spaces). If the definition and the "=" are omitted, "=1"
+# is assumed. To prevent a macro definition from being undefined via #undef or
+# recursively expanded use the := operator instead of the = operator.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+PREDEFINED = DOXYGEN_SHOULD_SKIP_THIS
+
+# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
+# tag can be used to specify a list of macro names that should be expanded. The
+# macro definition that is found in the sources will be used. Use the PREDEFINED
+# tag if you want to use a different macro definition that overrules the
+# definition found in the source code.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_AS_DEFINED =
+
+# If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will
+# remove all references to function-like macros that are alone on a line, have
+# an all uppercase name, and do not end with a semicolon. Such function macros
+# are typically used for boiler-plate code, and will confuse the parser if not
+# removed.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SKIP_FUNCTION_MACROS = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to external references
+#---------------------------------------------------------------------------
+
+# The TAGFILES tag can be used to specify one or more tag files. For each tag
+# file the location of the external documentation should be added. The format of
+# a tag file without this location is as follows:
+# TAGFILES = file1 file2 ...
+# Adding location for the tag files is done as follows:
+# TAGFILES = file1=loc1 "file2 = loc2" ...
+# where loc1 and loc2 can be relative or absolute paths or URLs. See the
+# section "Linking to external documentation" for more information about the use
+# of tag files.
+# Note: Each tag file must have a unique name (where the name does NOT include
+# the path). If a tag file is not located in the directory in which doxygen is
+# run, you must also specify the path to the tagfile here.
+
+TAGFILES = ../../ct_doc/doc/tags/ct_core.tag=../../../ct_core/doc/html \
+ ../../ct_doc/doc/tags/ct_optcon.tag=../../../ct_optcon/doc/html \
+ ../../ct_doc/doc/tags/ct_rbd.tag=../../../ct_rbd/doc/html
+
+# When a file name is specified after GENERATE_TAGFILE, doxygen will create a
+# tag file that is based on the input files it reads. See section "Linking to
+# external documentation" for more information about the usage of tag files.
+
+GENERATE_TAGFILE = ../../ct_doc/doc/tags/ct_models.tag
+
+# If the ALLEXTERNALS tag is set to YES all external class will be listed in the
+# class index. If set to NO only the inherited external classes will be listed.
+# The default value is: NO.
+
+ALLEXTERNALS = NO
+
+# If the EXTERNAL_GROUPS tag is set to YES all external groups will be listed in
+# the modules index. If set to NO, only the current project's groups will be
+# listed.
+# The default value is: YES.
+
+EXTERNAL_GROUPS = NO
+
+# If the EXTERNAL_PAGES tag is set to YES all external pages will be listed in
+# the related pages index. If set to NO, only the current project's pages will
+# be listed.
+# The default value is: YES.
+
+EXTERNAL_PAGES = YES
+
+# The PERL_PATH should be the absolute path and name of the perl script
+# interpreter (i.e. the result of 'which perl').
+# The default file (with absolute path) is: /usr/bin/perl.
+
+PERL_PATH = /usr/bin/perl
+
+#---------------------------------------------------------------------------
+# Configuration options related to the dot tool
+#---------------------------------------------------------------------------
+
+# If the CLASS_DIAGRAMS tag is set to YES doxygen will generate a class diagram
+# (in HTML and LaTeX) for classes with base or super classes. Setting the tag to
+# NO turns the diagrams off. Note that this option also works with HAVE_DOT
+# disabled, but it is recommended to install and use dot, since it yields more
+# powerful graphs.
+# The default value is: YES.
+
+CLASS_DIAGRAMS = YES
+
+# You can define message sequence charts within doxygen comments using the \msc
+# command. Doxygen will then run the mscgen tool (see:
+# http://www.mcternan.me.uk/mscgen/)) to produce the chart and insert it in the
+# documentation. The MSCGEN_PATH tag allows you to specify the directory where
+# the mscgen tool resides. If left empty the tool is assumed to be found in the
+# default search path.
+
+MSCGEN_PATH =
+
+# You can include diagrams made with dia in doxygen documentation. Doxygen will
+# then run dia to produce the diagram and insert it in the documentation. The
+# DIA_PATH tag allows you to specify the directory where the dia binary resides.
+# If left empty dia is assumed to be found in the default search path.
+
+DIA_PATH =
+
+# If set to YES, the inheritance and collaboration graphs will hide inheritance
+# and usage relations if the target is undocumented or is not a class.
+# The default value is: YES.
+
+HIDE_UNDOC_RELATIONS = YES
+
+# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is
+# available from the path. This tool is part of Graphviz (see:
+# http://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent
+# Bell Labs. The other options in this section have no effect if this option is
+# set to NO
+# The default value is: YES.
+
+HAVE_DOT = NO
+
+# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is allowed
+# to run in parallel. When set to 0 doxygen will base this on the number of
+# processors available in the system. You can set it explicitly to a value
+# larger than 0 to get control over the balance between CPU load and processing
+# speed.
+# Minimum value: 0, maximum value: 32, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_NUM_THREADS = 0
+
+# When you want a differently looking font n the dot files that doxygen
+# generates you can specify the font name using DOT_FONTNAME. You need to make
+# sure dot is able to find the font, which can be done by putting it in a
+# standard location or by setting the DOTFONTPATH environment variable or by
+# setting DOT_FONTPATH to the directory containing the font.
+# The default value is: Helvetica.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTNAME = Helvetica
+
+# The DOT_FONTSIZE tag can be used to set the size (in points) of the font of
+# dot graphs.
+# Minimum value: 4, maximum value: 24, default value: 10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTSIZE = 10
+
+# By default doxygen will tell dot to use the default font as specified with
+# DOT_FONTNAME. If you specify a different font using DOT_FONTNAME you can set
+# the path where dot can find it using this tag.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTPATH =
+
+# If the CLASS_GRAPH tag is set to YES then doxygen will generate a graph for
+# each documented class showing the direct and indirect inheritance relations.
+# Setting this tag to YES will force the CLASS_DIAGRAMS tag to NO.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CLASS_GRAPH = YES
+
+# If the COLLABORATION_GRAPH tag is set to YES then doxygen will generate a
+# graph for each documented class showing the direct and indirect implementation
+# dependencies (inheritance, containment, and class references variables) of the
+# class with other documented classes.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+COLLABORATION_GRAPH = YES
+
+# If the GROUP_GRAPHS tag is set to YES then doxygen will generate a graph for
+# groups, showing the direct groups dependencies.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GROUP_GRAPHS = YES
+
+# If the UML_LOOK tag is set to YES doxygen will generate inheritance and
+# collaboration diagrams in a style similar to the OMG's Unified Modeling
+# Language.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+UML_LOOK = NO
+
+# If the UML_LOOK tag is enabled, the fields and methods are shown inside the
+# class node. If there are many fields or methods and many nodes the graph may
+# become too big to be useful. The UML_LIMIT_NUM_FIELDS threshold limits the
+# number of items for each type to make the size more manageable. Set this to 0
+# for no limit. Note that the threshold may be exceeded by 50% before the limit
+# is enforced. So when you set the threshold to 10, up to 15 fields may appear,
+# but if the number exceeds 15, the total amount of fields shown is limited to
+# 10.
+# Minimum value: 0, maximum value: 100, default value: 10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+UML_LIMIT_NUM_FIELDS = 10
+
+# If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and
+# collaboration graphs will show the relations between templates and their
+# instances.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+TEMPLATE_RELATIONS = NO
+
+# If the INCLUDE_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are set to
+# YES then doxygen will generate a graph for each documented file showing the
+# direct and indirect include dependencies of the file with other documented
+# files.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDE_GRAPH = YES
+
+# If the INCLUDED_BY_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are
+# set to YES then doxygen will generate a graph for each documented file showing
+# the direct and indirect include dependencies of the file with other documented
+# files.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDED_BY_GRAPH = YES
+
+# If the CALL_GRAPH tag is set to YES then doxygen will generate a call
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable call graphs for selected
+# functions only using the \callgraph command.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALL_GRAPH = NO
+
+# If the CALLER_GRAPH tag is set to YES then doxygen will generate a caller
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable caller graphs for selected
+# functions only using the \callergraph command.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALLER_GRAPH = NO
+
+# If the GRAPHICAL_HIERARCHY tag is set to YES then doxygen will graphical
+# hierarchy of all classes instead of a textual one.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GRAPHICAL_HIERARCHY = YES
+
+# If the DIRECTORY_GRAPH tag is set to YES then doxygen will show the
+# dependencies a directory has on other directories in a graphical way. The
+# dependency relations are determined by the #include relations between the
+# files in the directories.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DIRECTORY_GRAPH = YES
+
+# The DOT_IMAGE_FORMAT tag can be used to set the image format of the images
+# generated by dot.
+# Note: If you choose svg you need to set HTML_FILE_EXTENSION to xhtml in order
+# to make the SVG files visible in IE 9+ (other browsers do not have this
+# requirement).
+# Possible values are: png, png:cairo, png:cairo:cairo, png:cairo:gd, png:gd,
+# png:gd:gd, jpg, jpg:cairo, jpg:cairo:gd, jpg:gd, jpg:gd:gd, gif, gif:cairo,
+# gif:cairo:gd, gif:gd, gif:gd:gd and svg.
+# The default value is: png.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_IMAGE_FORMAT = png
+
+# If DOT_IMAGE_FORMAT is set to svg, then this option can be set to YES to
+# enable generation of interactive SVG images that allow zooming and panning.
+#
+# Note that this requires a modern browser other than Internet Explorer. Tested
+# and working are Firefox, Chrome, Safari, and Opera.
+# Note: For IE 9+ you need to set HTML_FILE_EXTENSION to xhtml in order to make
+# the SVG files visible. Older versions of IE do not have SVG support.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INTERACTIVE_SVG = NO
+
+# The DOT_PATH tag can be used to specify the path where the dot tool can be
+# found. If left blank, it is assumed the dot tool can be found in the path.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_PATH =
+
+# The DOTFILE_DIRS tag can be used to specify one or more directories that
+# contain dot files that are included in the documentation (see the \dotfile
+# command).
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOTFILE_DIRS =
+
+# The MSCFILE_DIRS tag can be used to specify one or more directories that
+# contain msc files that are included in the documentation (see the \mscfile
+# command).
+
+MSCFILE_DIRS =
+
+# The DIAFILE_DIRS tag can be used to specify one or more directories that
+# contain dia files that are included in the documentation (see the \diafile
+# command).
+
+DIAFILE_DIRS =
+
+# The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of nodes
+# that will be shown in the graph. If the number of nodes in a graph becomes
+# larger than this value, doxygen will truncate the graph, which is visualized
+# by representing a node as a red box. Note that doxygen if the number of direct
+# children of the root node in a graph is already larger than
+# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that
+# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.
+# Minimum value: 0, maximum value: 10000, default value: 50.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_GRAPH_MAX_NODES = 50
+
+# The MAX_DOT_GRAPH_DEPTH tag can be used to set the maximum depth of the graphs
+# generated by dot. A depth value of 3 means that only nodes reachable from the
+# root by following a path via at most 3 edges will be shown. Nodes that lay
+# further from the root node will be omitted. Note that setting this option to 1
+# or 2 may greatly reduce the computation time needed for large code bases. Also
+# note that the size of a graph can be further restricted by
+# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.
+# Minimum value: 0, maximum value: 1000, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+MAX_DOT_GRAPH_DEPTH = 0
+
+# Set the DOT_TRANSPARENT tag to YES to generate images with a transparent
+# background. This is disabled by default, because dot on Windows does not seem
+# to support this out of the box.
+#
+# Warning: Depending on the platform used, enabling this option may lead to
+# badly anti-aliased labels on the edges of a graph (i.e. they become hard to
+# read).
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_TRANSPARENT = NO
+
+# Set the DOT_MULTI_TARGETS tag to YES allow dot to generate multiple output
+# files in one run (i.e. multiple -o and -T options on the command line). This
+# makes dot run faster, but since only newer versions of dot (>1.8.10) support
+# this, this feature is disabled by default.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_MULTI_TARGETS = YES
+
+# If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page
+# explaining the meaning of the various boxes and arrows in the dot generated
+# graphs.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GENERATE_LEGEND = YES
+
+# If the DOT_CLEANUP tag is set to YES doxygen will remove the intermediate dot
+# files that are used to generate the various graphs.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_CLEANUP = YES
diff --git a/ct_models/doc/DoxygenLayout.xml b/ct_models/doc/DoxygenLayout.xml
new file mode 100644
index 0000000..e67ce49
--- /dev/null
+++ b/ct_models/doc/DoxygenLayout.xml
@@ -0,0 +1,194 @@
+<doxygenlayout version="1.0">
+ <!-- Generated by doxygen 1.8.7 -->
+ <!-- Navigation index tabs for HTML output -->
+ <navindex>
+ <tab type="mainpage" visible="yes" title=""/>
+ <tab type="pages" visible="yes" title="" intro=""/>
+ <tab type="modules" visible="no" title="" intro=""/>
+ <tab type="namespaces" visible="yes" title="">
+ <tab type="namespacelist" visible="yes" title="" intro=""/>
+ <tab type="namespacemembers" visible="yes" title="" intro=""/>
+ </tab>
+ <tab type="classes" visible="yes" title="">
+ <tab type="classlist" visible="yes" title="" intro=""/>
+ <tab type="classindex" visible="$ALPHABETICAL_INDEX" title=""/>
+ <tab type="hierarchy" visible="yes" title="" intro=""/>
+ <tab type="classmembers" visible="yes" title="" intro=""/>
+ </tab>
+ <tab type="files" visible="yes" title="">
+ <tab type="filelist" visible="yes" title="" intro=""/>
+ <tab type="globals" visible="yes" title="" intro=""/>
+ </tab>
+ <tab type="examples" visible="yes" title="" intro=""/>
+ </navindex>
+
+ <!-- Layout definition for a class page -->
+ <class>
+ <briefdescription visible="yes"/>
+ <includes visible="$SHOW_INCLUDE_FILES"/>
+ <inheritancegraph visible="$CLASS_GRAPH"/>
+ <collaborationgraph visible="$COLLABORATION_GRAPH"/>
+ <memberdecl>
+ <nestedclasses visible="yes" title=""/>
+ <publictypes title=""/>
+ <services title=""/>
+ <interfaces title=""/>
+ <publicslots title=""/>
+ <signals title=""/>
+ <publicmethods title=""/>
+ <publicstaticmethods title=""/>
+ <publicattributes title=""/>
+ <publicstaticattributes title=""/>
+ <protectedtypes title=""/>
+ <protectedslots title=""/>
+ <protectedmethods title=""/>
+ <protectedstaticmethods title=""/>
+ <protectedattributes title=""/>
+ <protectedstaticattributes title=""/>
+ <packagetypes title=""/>
+ <packagemethods title=""/>
+ <packagestaticmethods title=""/>
+ <packageattributes title=""/>
+ <packagestaticattributes title=""/>
+ <properties title=""/>
+ <events title=""/>
+ <privatetypes title=""/>
+ <privateslots title=""/>
+ <privatemethods title=""/>
+ <privatestaticmethods title=""/>
+ <privateattributes title=""/>
+ <privatestaticattributes title=""/>
+ <friends title=""/>
+ <related title="" subtitle=""/>
+ <membergroups visible="yes"/>
+ </memberdecl>
+ <detaileddescription title=""/>
+ <memberdef>
+ <inlineclasses title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <services title=""/>
+ <interfaces title=""/>
+ <constructors title=""/>
+ <functions title=""/>
+ <related title=""/>
+ <variables title=""/>
+ <properties title=""/>
+ <events title=""/>
+ </memberdef>
+ <allmemberslink visible="yes"/>
+ <usedfiles visible="$SHOW_USED_FILES"/>
+ <authorsection visible="yes"/>
+ </class>
+
+ <!-- Layout definition for a namespace page -->
+ <namespace>
+ <briefdescription visible="yes"/>
+ <memberdecl>
+ <nestednamespaces visible="yes" title=""/>
+ <constantgroups visible="yes" title=""/>
+ <classes visible="yes" title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <functions title=""/>
+ <variables title=""/>
+ <membergroups visible="yes"/>
+ </memberdecl>
+ <detaileddescription title=""/>
+ <memberdef>
+ <inlineclasses title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <functions title=""/>
+ <variables title=""/>
+ </memberdef>
+ <authorsection visible="yes"/>
+ </namespace>
+
+ <!-- Layout definition for a file page -->
+ <file>
+ <briefdescription visible="yes"/>
+ <includes visible="$SHOW_INCLUDE_FILES"/>
+ <includegraph visible="$INCLUDE_GRAPH"/>
+ <includedbygraph visible="$INCLUDED_BY_GRAPH"/>
+ <sourcelink visible="yes"/>
+ <memberdecl>
+ <classes visible="yes" title=""/>
+ <namespaces visible="yes" title=""/>
+ <constantgroups visible="yes" title=""/>
+ <defines title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <functions title=""/>
+ <variables title=""/>
+ <membergroups visible="yes"/>
+ </memberdecl>
+ <detaileddescription title=""/>
+ <memberdef>
+ <inlineclasses title=""/>
+ <defines title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <functions title=""/>
+ <variables title=""/>
+ </memberdef>
+ <authorsection/>
+ </file>
+
+ <!-- Layout definition for a group page -->
+ <group>
+ <briefdescription visible="yes"/>
+ <groupgraph visible="$GROUP_GRAPHS"/>
+ <memberdecl>
+ <nestedgroups visible="yes" title=""/>
+ <dirs visible="yes" title=""/>
+ <files visible="yes" title=""/>
+ <namespaces visible="yes" title=""/>
+ <classes visible="yes" title=""/>
+ <defines title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <enumvalues title=""/>
+ <functions title=""/>
+ <variables title=""/>
+ <signals title=""/>
+ <publicslots title=""/>
+ <protectedslots title=""/>
+ <privateslots title=""/>
+ <events title=""/>
+ <properties title=""/>
+ <friends title=""/>
+ <membergroups visible="yes"/>
+ </memberdecl>
+ <detaileddescription title=""/>
+ <memberdef>
+ <pagedocs/>
+ <inlineclasses title=""/>
+ <defines title=""/>
+ <typedefs title=""/>
+ <enums title=""/>
+ <enumvalues title=""/>
+ <functions title=""/>
+ <variables title=""/>
+ <signals title=""/>
+ <publicslots title=""/>
+ <protectedslots title=""/>
+ <privateslots title=""/>
+ <events title=""/>
+ <properties title=""/>
+ <friends title=""/>
+ </memberdef>
+ <authorsection visible="yes"/>
+ </group>
+
+ <!-- Layout definition for a directory page -->
+ <directory>
+ <briefdescription visible="yes"/>
+ <directorygraph visible="yes"/>
+ <memberdecl>
+ <dirs visible="yes"/>
+ <files visible="yes"/>
+ </memberdecl>
+ <detaileddescription title=""/>
+ </directory>
+</doxygenlayout>
diff --git a/ct_models/doc/ct_models.doxyfile b/ct_models/doc/ct_models.doxyfile
new file mode 100644
index 0000000..e69fc49
--- /dev/null
+++ b/ct_models/doc/ct_models.doxyfile
@@ -0,0 +1,2317 @@
+# Doxyfile 1.8.7
+
+# This file describes the settings to be used by the documentation system
+# doxygen (www.doxygen.org) for a project.
+#
+# All text after a double hash (##) is considered a comment and is placed in
+# front of the TAG it is preceding.
+#
+# All text after a single hash (#) is considered a comment and will be ignored.
+# The format is:
+# TAG = value [value, ...]
+# For lists, items can also be appended using:
+# TAG += value [value, ...]
+# Values that contain spaces should be placed between quotes (\" \").
+
+#---------------------------------------------------------------------------
+# Project related configuration options
+#---------------------------------------------------------------------------
+
+# This tag specifies the encoding used for all characters in the config file
+# that follow. The default is UTF-8 which is also the encoding used for all text
+# before the first occurrence of this tag. Doxygen uses libiconv (or the iconv
+# built into libc) for the transcoding. See http://www.gnu.org/software/libiconv
+# for the list of possible encodings.
+# The default value is: UTF-8.
+
+DOXYFILE_ENCODING = UTF-8
+
+# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
+# double-quotes, unless you are using Doxywizard) that should identify the
+# project for which the documentation is generated. This name is used in the
+# title of most generated pages and in a few other places.
+# The default value is: My Project.
+
+PROJECT_NAME = ct_models
+
+# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
+# could be handy for archiving the generated documentation or if some version
+# control system is used.
+
+PROJECT_NUMBER = v2.1
+
+# Using the PROJECT_BRIEF tag one can provide an optional one line description
+# for a project that appears at the top of each page and should give viewer a
+# quick idea about the purpose of the project. Keep the description short.
+
+PROJECT_BRIEF = "Control Toolbox - Models Module"
+
+# With the PROJECT_LOGO tag one can specify an logo or icon that is included in
+# the documentation. The maximum height of the logo should not exceed 55 pixels
+# and the maximum width should not exceed 200 pixels. Doxygen will copy the logo
+# to the output directory.
+
+PROJECT_LOGO =
+
+# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
+# into which the generated documentation will be written. If a relative path is
+# entered, it will be relative to the location where doxygen was started. If
+# left blank the current directory will be used.
+
+OUTPUT_DIRECTORY = .
+
+# If the CREATE_SUBDIRS tag is set to YES, then doxygen will create 4096 sub-
+# directories (in 2 levels) under the output directory of each output format and
+# will distribute the generated files over these directories. Enabling this
+# option can be useful when feeding doxygen a huge amount of source files, where
+# putting all generated files in the same directory would otherwise causes
+# performance problems for the file system.
+# The default value is: NO.
+
+CREATE_SUBDIRS = NO
+
+# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
+# characters to appear in the names of generated files. If set to NO, non-ASCII
+# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
+# U+3044.
+# The default value is: NO.
+
+ALLOW_UNICODE_NAMES = NO
+
+# The OUTPUT_LANGUAGE tag is used to specify the language in which all
+# documentation generated by doxygen is written. Doxygen will use this
+# information to generate all constant output in the proper language.
+# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese,
+# Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States),
+# Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian,
+# Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages),
+# Korean, Korean-en (Korean with English messages), Latvian, Lithuanian,
+# Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian,
+# Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish,
+# Ukrainian and Vietnamese.
+# The default value is: English.
+
+OUTPUT_LANGUAGE = English
+
+# If the BRIEF_MEMBER_DESC tag is set to YES doxygen will include brief member
+# descriptions after the members that are listed in the file and class
+# documentation (similar to Javadoc). Set to NO to disable this.
+# The default value is: YES.
+
+BRIEF_MEMBER_DESC = YES
+
+# If the REPEAT_BRIEF tag is set to YES doxygen will prepend the brief
+# description of a member or function before the detailed description
+#
+# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
+# brief descriptions will be completely suppressed.
+# The default value is: YES.
+
+REPEAT_BRIEF = YES
+
+# This tag implements a quasi-intelligent brief description abbreviator that is
+# used to form the text in various listings. Each string in this list, if found
+# as the leading text of the brief description, will be stripped from the text
+# and the result, after processing the whole list, is used as the annotated
+# text. Otherwise, the brief description is used as-is. If left blank, the
+# following values are used ($name is automatically replaced with the name of
+# the entity):The $name class, The $name widget, The $name file, is, provides,
+# specifies, contains, represents, a, an and the.
+
+ABBREVIATE_BRIEF =
+
+# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
+# doxygen will generate a detailed section even if there is only a brief
+# description.
+# The default value is: NO.
+
+ALWAYS_DETAILED_SEC = NO
+
+# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
+# inherited members of a class in the documentation of that class as if those
+# members were ordinary class members. Constructors, destructors and assignment
+# operators of the base classes will not be shown.
+# The default value is: NO.
+
+INLINE_INHERITED_MEMB = NO
+
+# If the FULL_PATH_NAMES tag is set to YES doxygen will prepend the full path
+# before files name in the file list and in the header files. If set to NO the
+# shortest path that makes the file name unique will be used
+# The default value is: YES.
+
+FULL_PATH_NAMES = YES
+
+# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
+# Stripping is only done if one of the specified strings matches the left-hand
+# part of the path. The tag can be used to show relative paths in the file list.
+# If left blank the directory from which doxygen is run is used as the path to
+# strip.
+#
+# Note that you can specify absolute paths here, but also relative paths, which
+# will be relative from the directory where doxygen is started.
+# This tag requires that the tag FULL_PATH_NAMES is set to YES.
+
+STRIP_FROM_PATH =
+
+# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
+# path mentioned in the documentation of a class, which tells the reader which
+# header file to include in order to use a class. If left blank only the name of
+# the header file containing the class definition is used. Otherwise one should
+# specify the list of include paths that are normally passed to the compiler
+# using the -I flag.
+
+STRIP_FROM_INC_PATH =
+
+# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
+# less readable) file names. This can be useful is your file systems doesn't
+# support long names like on DOS, Mac, or CD-ROM.
+# The default value is: NO.
+
+SHORT_NAMES = NO
+
+# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
+# first line (until the first dot) of a Javadoc-style comment as the brief
+# description. If set to NO, the Javadoc-style will behave just like regular Qt-
+# style comments (thus requiring an explicit @brief command for a brief
+# description.)
+# The default value is: NO.
+
+JAVADOC_AUTOBRIEF = NO
+
+# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
+# line (until the first dot) of a Qt-style comment as the brief description. If
+# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
+# requiring an explicit \brief command for a brief description.)
+# The default value is: NO.
+
+QT_AUTOBRIEF = NO
+
+# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
+# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
+# a brief description. This used to be the default behavior. The new default is
+# to treat a multi-line C++ comment block as a detailed description. Set this
+# tag to YES if you prefer the old behavior instead.
+#
+# Note that setting this tag to YES also means that rational rose comments are
+# not recognized any more.
+# The default value is: NO.
+
+MULTILINE_CPP_IS_BRIEF = NO
+
+# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
+# documentation from any documented member that it re-implements.
+# The default value is: YES.
+
+INHERIT_DOCS = YES
+
+# If the SEPARATE_MEMBER_PAGES tag is set to YES, then doxygen will produce a
+# new page for each member. If set to NO, the documentation of a member will be
+# part of the file/class/namespace that contains it.
+# The default value is: NO.
+
+SEPARATE_MEMBER_PAGES = NO
+
+# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
+# uses this value to replace tabs by spaces in code fragments.
+# Minimum value: 1, maximum value: 16, default value: 4.
+
+TAB_SIZE = 4
+
+# This tag can be used to specify a number of aliases that act as commands in
+# the documentation. An alias has the form:
+# name=value
+# For example adding
+# "sideeffect=@par Side Effects:\n"
+# will allow you to put the command \sideeffect (or @sideeffect) in the
+# documentation, which will result in a user-defined paragraph with heading
+# "Side Effects:". You can put \n's in the value part of an alias to insert
+# newlines.
+
+ALIASES =
+
+# This tag can be used to specify a number of word-keyword mappings (TCL only).
+# A mapping has the form "name=value". For example adding "class=itcl::class"
+# will allow you to use the command class in the itcl::class meaning.
+
+TCL_SUBST =
+
+# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
+# only. Doxygen will then generate output that is more tailored for C. For
+# instance, some of the names that are used will be different. The list of all
+# members will be omitted, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_FOR_C = NO
+
+# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
+# Python sources only. Doxygen will then generate output that is more tailored
+# for that language. For instance, namespaces will be presented as packages,
+# qualified scopes will look different, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_JAVA = NO
+
+# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
+# sources. Doxygen will then generate output that is tailored for Fortran.
+# The default value is: NO.
+
+OPTIMIZE_FOR_FORTRAN = NO
+
+# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
+# sources. Doxygen will then generate output that is tailored for VHDL.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_VHDL = NO
+
+# Doxygen selects the parser to use depending on the extension of the files it
+# parses. With this tag you can assign which parser to use for a given
+# extension. Doxygen has a built-in mapping, but you can override or extend it
+# using this tag. The format is ext=language, where ext is a file extension, and
+# language is one of the parsers supported by doxygen: IDL, Java, Javascript,
+# C#, C, C++, D, PHP, Objective-C, Python, Fortran (fixed format Fortran:
+# FortranFixed, free formatted Fortran: FortranFree, unknown formatted Fortran:
+# Fortran. In the later case the parser tries to guess whether the code is fixed
+# or free formatted code, this is the default for Fortran type files), VHDL. For
+# instance to make doxygen treat .inc files as Fortran files (default is PHP),
+# and .f files as C (default is Fortran), use: inc=Fortran f=C.
+#
+# Note For files without extension you can use no_extension as a placeholder.
+#
+# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
+# the files are not read by doxygen.
+
+EXTENSION_MAPPING =
+
+# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
+# according to the Markdown format, which allows for more readable
+# documentation. See http://daringfireball.net/projects/markdown/ for details.
+# The output of markdown processing is further processed by doxygen, so you can
+# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
+# case of backward compatibilities issues.
+# The default value is: YES.
+
+MARKDOWN_SUPPORT = YES
+
+# When enabled doxygen tries to link words that correspond to documented
+# classes, or namespaces to their corresponding documentation. Such a link can
+# be prevented in individual cases by by putting a % sign in front of the word
+# or globally by setting AUTOLINK_SUPPORT to NO.
+# The default value is: YES.
+
+AUTOLINK_SUPPORT = YES
+
+# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
+# to include (a tag file for) the STL sources as input, then you should set this
+# tag to YES in order to let doxygen match functions declarations and
+# definitions whose arguments contain STL classes (e.g. func(std::string);
+# versus func(std::string) {}). This also make the inheritance and collaboration
+# diagrams that involve STL classes more complete and accurate.
+# The default value is: NO.
+
+BUILTIN_STL_SUPPORT = NO
+
+# If you use Microsoft's C++/CLI language, you should set this option to YES to
+# enable parsing support.
+# The default value is: NO.
+
+CPP_CLI_SUPPORT = NO
+
+# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
+# http://www.riverbankcomputing.co.uk/software/sip/intro) sources only. Doxygen
+# will parse them like normal C++ but will assume all classes use public instead
+# of private inheritance when no explicit protection keyword is present.
+# The default value is: NO.
+
+SIP_SUPPORT = NO
+
+# For Microsoft's IDL there are propget and propput attributes to indicate
+# getter and setter methods for a property. Setting this option to YES will make
+# doxygen to replace the get and set methods by a property in the documentation.
+# This will only work if the methods are indeed getting or setting a simple
+# type. If this is not the case, or you want to show the methods anyway, you
+# should set this option to NO.
+# The default value is: YES.
+
+IDL_PROPERTY_SUPPORT = YES
+
+# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
+# tag is set to YES, then doxygen will reuse the documentation of the first
+# member in the group (if any) for the other members of the group. By default
+# all members of a group must be documented explicitly.
+# The default value is: NO.
+
+DISTRIBUTE_GROUP_DOC = YES
+
+# Set the SUBGROUPING tag to YES to allow class member groups of the same type
+# (for instance a group of public functions) to be put as a subgroup of that
+# type (e.g. under the Public Functions section). Set it to NO to prevent
+# subgrouping. Alternatively, this can be done per class using the
+# \nosubgrouping command.
+# The default value is: YES.
+
+SUBGROUPING = YES
+
+# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
+# are shown inside the group in which they are included (e.g. using \ingroup)
+# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
+# and RTF).
+#
+# Note that this feature does not work in combination with
+# SEPARATE_MEMBER_PAGES.
+# The default value is: NO.
+
+INLINE_GROUPED_CLASSES = NO
+
+# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
+# with only public data fields or simple typedef fields will be shown inline in
+# the documentation of the scope in which they are defined (i.e. file,
+# namespace, or group documentation), provided this scope is documented. If set
+# to NO, structs, classes, and unions are shown on a separate page (for HTML and
+# Man pages) or section (for LaTeX and RTF).
+# The default value is: NO.
+
+INLINE_SIMPLE_STRUCTS = NO
+
+# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
+# enum is documented as struct, union, or enum with the name of the typedef. So
+# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
+# with name TypeT. When disabled the typedef will appear as a member of a file,
+# namespace, or class. And the struct will be named TypeS. This can typically be
+# useful for C code in case the coding convention dictates that all compound
+# types are typedef'ed and only the typedef is referenced, never the tag name.
+# The default value is: NO.
+
+TYPEDEF_HIDES_STRUCT = NO
+
+# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
+# cache is used to resolve symbols given their name and scope. Since this can be
+# an expensive process and often the same symbol appears multiple times in the
+# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
+# doxygen will become slower. If the cache is too large, memory is wasted. The
+# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
+# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
+# symbols. At the end of a run doxygen will report the cache usage and suggest
+# the optimal cache size from a speed point of view.
+# Minimum value: 0, maximum value: 9, default value: 0.
+
+LOOKUP_CACHE_SIZE = 0
+
+#---------------------------------------------------------------------------
+# Build related configuration options
+#---------------------------------------------------------------------------
+
+# If the EXTRACT_ALL tag is set to YES doxygen will assume all entities in
+# documentation are documented, even if no documentation was available. Private
+# class members and static file members will be hidden unless the
+# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
+# Note: This will also disable the warnings about undocumented members that are
+# normally produced when WARNINGS is set to YES.
+# The default value is: NO.
+
+EXTRACT_ALL = YES
+
+# If the EXTRACT_PRIVATE tag is set to YES all private members of a class will
+# be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PRIVATE = NO
+
+# If the EXTRACT_PACKAGE tag is set to YES all members with package or internal
+# scope will be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PACKAGE = NO
+
+# If the EXTRACT_STATIC tag is set to YES all static members of a file will be
+# included in the documentation.
+# The default value is: NO.
+
+EXTRACT_STATIC = NO
+
+# If the EXTRACT_LOCAL_CLASSES tag is set to YES classes (and structs) defined
+# locally in source files will be included in the documentation. If set to NO
+# only classes defined in header files are included. Does not have any effect
+# for Java sources.
+# The default value is: YES.
+
+EXTRACT_LOCAL_CLASSES = YES
+
+# This flag is only useful for Objective-C code. When set to YES local methods,
+# which are defined in the implementation section but not in the interface are
+# included in the documentation. If set to NO only methods in the interface are
+# included.
+# The default value is: NO.
+
+EXTRACT_LOCAL_METHODS = NO
+
+# If this flag is set to YES, the members of anonymous namespaces will be
+# extracted and appear in the documentation as a namespace called
+# 'anonymous_namespace{file}', where file will be replaced with the base name of
+# the file that contains the anonymous namespace. By default anonymous namespace
+# are hidden.
+# The default value is: NO.
+
+EXTRACT_ANON_NSPACES = NO
+
+# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
+# undocumented members inside documented classes or files. If set to NO these
+# members will be included in the various overviews, but no documentation
+# section is generated. This option has no effect if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_MEMBERS = YES
+
+# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
+# undocumented classes that are normally visible in the class hierarchy. If set
+# to NO these classes will be included in the various overviews. This option has
+# no effect if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_CLASSES = YES
+
+# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
+# (class|struct|union) declarations. If set to NO these declarations will be
+# included in the documentation.
+# The default value is: NO.
+
+HIDE_FRIEND_COMPOUNDS = NO
+
+# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
+# documentation blocks found inside the body of a function. If set to NO these
+# blocks will be appended to the function's detailed documentation block.
+# The default value is: NO.
+
+HIDE_IN_BODY_DOCS = NO
+
+# The INTERNAL_DOCS tag determines if documentation that is typed after a
+# \internal command is included. If the tag is set to NO then the documentation
+# will be excluded. Set it to YES to include the internal documentation.
+# The default value is: NO.
+
+INTERNAL_DOCS = NO
+
+# If the CASE_SENSE_NAMES tag is set to NO then doxygen will only generate file
+# names in lower-case letters. If set to YES upper-case letters are also
+# allowed. This is useful if you have classes or files whose names only differ
+# in case and if your file system supports case sensitive file names. Windows
+# and Mac users are advised to set this option to NO.
+# The default value is: system dependent.
+
+CASE_SENSE_NAMES = YES
+
+# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
+# their full class and namespace scopes in the documentation. If set to YES the
+# scope will be hidden.
+# The default value is: NO.
+
+HIDE_SCOPE_NAMES = NO
+
+# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
+# the files that are included by a file in the documentation of that file.
+# The default value is: YES.
+
+SHOW_INCLUDE_FILES = YES
+
+# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
+# grouped member an include statement to the documentation, telling the reader
+# which file to include in order to use the member.
+# The default value is: NO.
+
+SHOW_GROUPED_MEMB_INC = NO
+
+# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
+# files with double quotes in the documentation rather than with sharp brackets.
+# The default value is: NO.
+
+FORCE_LOCAL_INCLUDES = NO
+
+# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
+# documentation for inline members.
+# The default value is: YES.
+
+INLINE_INFO = YES
+
+# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
+# (detailed) documentation of file and class members alphabetically by member
+# name. If set to NO the members will appear in declaration order.
+# The default value is: YES.
+
+SORT_MEMBER_DOCS = NO
+
+# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
+# descriptions of file, namespace and class members alphabetically by member
+# name. If set to NO the members will appear in declaration order. Note that
+# this will also influence the order of the classes in the class list.
+# The default value is: NO.
+
+SORT_BRIEF_DOCS = NO
+
+# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
+# (brief and detailed) documentation of class members so that constructors and
+# destructors are listed first. If set to NO the constructors will appear in the
+# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
+# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
+# member documentation.
+# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
+# detailed member documentation.
+# The default value is: NO.
+
+SORT_MEMBERS_CTORS_1ST = NO
+
+# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
+# of group names into alphabetical order. If set to NO the group names will
+# appear in their defined order.
+# The default value is: NO.
+
+SORT_GROUP_NAMES = NO
+
+# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
+# fully-qualified names, including namespaces. If set to NO, the class list will
+# be sorted only by class name, not including the namespace part.
+# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
+# Note: This option applies only to the class list, not to the alphabetical
+# list.
+# The default value is: NO.
+
+SORT_BY_SCOPE_NAME = NO
+
+# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
+# type resolution of all parameters of a function it will reject a match between
+# the prototype and the implementation of a member function even if there is
+# only one candidate or it is obvious which candidate to choose by doing a
+# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
+# accept a match between prototype and implementation in such cases.
+# The default value is: NO.
+
+STRICT_PROTO_MATCHING = NO
+
+# The GENERATE_TODOLIST tag can be used to enable ( YES) or disable ( NO) the
+# todo list. This list is created by putting \todo commands in the
+# documentation.
+# The default value is: YES.
+
+GENERATE_TODOLIST = YES
+
+# The GENERATE_TESTLIST tag can be used to enable ( YES) or disable ( NO) the
+# test list. This list is created by putting \test commands in the
+# documentation.
+# The default value is: YES.
+
+GENERATE_TESTLIST = YES
+
+# The GENERATE_BUGLIST tag can be used to enable ( YES) or disable ( NO) the bug
+# list. This list is created by putting \bug commands in the documentation.
+# The default value is: YES.
+
+GENERATE_BUGLIST = YES
+
+# The GENERATE_DEPRECATEDLIST tag can be used to enable ( YES) or disable ( NO)
+# the deprecated list. This list is created by putting \deprecated commands in
+# the documentation.
+# The default value is: YES.
+
+GENERATE_DEPRECATEDLIST= YES
+
+# The ENABLED_SECTIONS tag can be used to enable conditional documentation
+# sections, marked by \if <section_label> ... \endif and \cond <section_label>
+# ... \endcond blocks.
+
+ENABLED_SECTIONS =
+
+# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
+# initial value of a variable or macro / define can have for it to appear in the
+# documentation. If the initializer consists of more lines than specified here
+# it will be hidden. Use a value of 0 to hide initializers completely. The
+# appearance of the value of individual variables and macros / defines can be
+# controlled using \showinitializer or \hideinitializer command in the
+# documentation regardless of this setting.
+# Minimum value: 0, maximum value: 10000, default value: 30.
+
+MAX_INITIALIZER_LINES = 30
+
+# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
+# the bottom of the documentation of classes and structs. If set to YES the list
+# will mention the files that were used to generate the documentation.
+# The default value is: YES.
+
+SHOW_USED_FILES = YES
+
+# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
+# will remove the Files entry from the Quick Index and from the Folder Tree View
+# (if specified).
+# The default value is: YES.
+
+SHOW_FILES = YES
+
+# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
+# page. This will remove the Namespaces entry from the Quick Index and from the
+# Folder Tree View (if specified).
+# The default value is: YES.
+
+SHOW_NAMESPACES = YES
+
+# The FILE_VERSION_FILTER tag can be used to specify a program or script that
+# doxygen should invoke to get the current version for each file (typically from
+# the version control system). Doxygen will invoke the program by executing (via
+# popen()) the command command input-file, where command is the value of the
+# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
+# by doxygen. Whatever the program writes to standard output is used as the file
+# version. For an example see the documentation.
+
+FILE_VERSION_FILTER =
+
+# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
+# by doxygen. The layout file controls the global structure of the generated
+# output files in an output format independent way. To create the layout file
+# that represents doxygen's defaults, run doxygen with the -l option. You can
+# optionally specify a file name after the option, if omitted DoxygenLayout.xml
+# will be used as the name of the layout file.
+#
+# Note that if you run doxygen from a directory containing a file called
+# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
+# tag is left empty.
+
+LAYOUT_FILE = DoxygenLayout.xml
+
+# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
+# the reference definitions. This must be a list of .bib files. The .bib
+# extension is automatically appended if omitted. This requires the bibtex tool
+# to be installed. See also http://en.wikipedia.org/wiki/BibTeX for more info.
+# For LaTeX the style of the bibliography can be controlled using
+# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
+# search path. Do not use file names with spaces, bibtex cannot handle them. See
+# also \cite for info how to create references.
+
+CITE_BIB_FILES =
+
+#---------------------------------------------------------------------------
+# Configuration options related to warning and progress messages
+#---------------------------------------------------------------------------
+
+# The QUIET tag can be used to turn on/off the messages that are generated to
+# standard output by doxygen. If QUIET is set to YES this implies that the
+# messages are off.
+# The default value is: NO.
+
+QUIET = NO
+
+# The WARNINGS tag can be used to turn on/off the warning messages that are
+# generated to standard error ( stderr) by doxygen. If WARNINGS is set to YES
+# this implies that the warnings are on.
+#
+# Tip: Turn warnings on while writing the documentation.
+# The default value is: YES.
+
+WARNINGS = YES
+
+# If the WARN_IF_UNDOCUMENTED tag is set to YES, then doxygen will generate
+# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
+# will automatically be disabled.
+# The default value is: YES.
+
+WARN_IF_UNDOCUMENTED = YES
+
+# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
+# potential errors in the documentation, such as not documenting some parameters
+# in a documented function, or documenting parameters that don't exist or using
+# markup commands wrongly.
+# The default value is: YES.
+
+WARN_IF_DOC_ERROR = YES
+
+# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
+# are documented, but have no documentation for their parameters or return
+# value. If set to NO doxygen will only warn about wrong or incomplete parameter
+# documentation, but not about the absence of documentation.
+# The default value is: NO.
+
+WARN_NO_PARAMDOC = NO
+
+# The WARN_FORMAT tag determines the format of the warning messages that doxygen
+# can produce. The string should contain the $file, $line, and $text tags, which
+# will be replaced by the file and line number from which the warning originated
+# and the warning text. Optionally the format may contain $version, which will
+# be replaced by the version of the file (if it could be obtained via
+# FILE_VERSION_FILTER)
+# The default value is: $file:$line: $text.
+
+WARN_FORMAT = "$file:$line: $text"
+
+# The WARN_LOGFILE tag can be used to specify a file to which warning and error
+# messages should be written. If left blank the output is written to standard
+# error (stderr).
+
+WARN_LOGFILE =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the input files
+#---------------------------------------------------------------------------
+
+# The INPUT tag is used to specify the files and/or directories that contain
+# documented source files. You may enter file names like myfile.cpp or
+# directories like /usr/src/myproject. Separate the files or directories with
+# spaces.
+# Note: If this tag is empty the current directory is searched.
+
+INPUT = ../ ./
+
+# This tag can be used to specify the character encoding of the source files
+# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
+# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
+# documentation (see: http://www.gnu.org/software/libiconv) for the list of
+# possible encodings.
+# The default value is: UTF-8.
+
+INPUT_ENCODING = UTF-8
+
+# If the value of the INPUT tag contains directories, you can use the
+# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
+# *.h) to filter out the source-files in the directories. If left blank the
+# following patterns are tested:*.c, *.cc, *.cxx, *.cpp, *.c++, *.java, *.ii,
+# *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp,
+# *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown,
+# *.md, *.mm, *.dox, *.py, *.f90, *.f, *.for, *.tcl, *.vhd, *.vhdl, *.ucf,
+# *.qsf, *.as and *.js.
+
+FILE_PATTERNS =
+
+# The RECURSIVE tag can be used to specify whether or not subdirectories should
+# be searched for input files as well.
+# The default value is: NO.
+
+RECURSIVE = YES
+
+# The EXCLUDE tag can be used to specify files and/or directories that should be
+# excluded from the INPUT source files. This way you can easily exclude a
+# subdirectory from a directory tree whose root is specified with the INPUT tag.
+#
+# Note that relative paths are relative to the directory from which doxygen is
+# run.
+
+EXCLUDE =
+
+# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
+# directories that are symbolic links (a Unix file system feature) are excluded
+# from the input.
+# The default value is: NO.
+
+EXCLUDE_SYMLINKS = NO
+
+# If the value of the INPUT tag contains directories, you can use the
+# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
+# certain files from those directories.
+#
+# Note that the wildcards are matched against the file with absolute path, so to
+# exclude all test directories for example use the pattern */test/*
+
+EXCLUDE_PATTERNS = */external/cppad/* \
+ */src/codegen/* \
+ */generated/jacobians* \
+ */generated/transforms*
+
+# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
+# (namespaces, classes, functions, etc.) that should be excluded from the
+# output. The symbol name can be a fully qualified name, a word, or if the
+# wildcard * is used, a substring. Examples: ANamespace, AClass,
+# AClass::ANamespace, ANamespace::*Test
+#
+# Note that the wildcards are matched against the file with absolute path, so to
+# exclude all test directories use the pattern */test/*
+
+EXCLUDE_SYMBOLS =
+
+# The EXAMPLE_PATH tag can be used to specify one or more files or directories
+# that contain example code fragments that are included (see the \include
+# command).
+
+EXAMPLE_PATH = ../test
+
+# If the value of the EXAMPLE_PATH tag contains directories, you can use the
+# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
+# *.h) to filter out the source-files in the directories. If left blank all
+# files are included.
+
+EXAMPLE_PATTERNS =
+
+# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
+# searched for input files to be used with the \include or \dontinclude commands
+# irrespective of the value of the RECURSIVE tag.
+# The default value is: NO.
+
+EXAMPLE_RECURSIVE = NO
+
+# The IMAGE_PATH tag can be used to specify one or more files or directories
+# that contain images that are to be included in the documentation (see the
+# \image command).
+
+IMAGE_PATH =
+
+# The INPUT_FILTER tag can be used to specify a program that doxygen should
+# invoke to filter for each input file. Doxygen will invoke the filter program
+# by executing (via popen()) the command:
+#
+# <filter> <input-file>
+#
+# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
+# name of an input file. Doxygen will then use the output that the filter
+# program writes to standard output. If FILTER_PATTERNS is specified, this tag
+# will be ignored.
+#
+# Note that the filter must not add or remove lines; it is applied before the
+# code is scanned, but not when the output code is generated. If lines are added
+# or removed, the anchors will not be placed correctly.
+
+INPUT_FILTER =
+
+# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
+# basis. Doxygen will compare the file name with each pattern and apply the
+# filter if there is a match. The filters are a list of the form: pattern=filter
+# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
+# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
+# patterns match the file name, INPUT_FILTER is applied.
+
+FILTER_PATTERNS =
+
+# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
+# INPUT_FILTER ) will also be used to filter the input files that are used for
+# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
+# The default value is: NO.
+
+FILTER_SOURCE_FILES = NO
+
+# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
+# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
+# it is also possible to disable source filtering for a specific pattern using
+# *.ext= (so without naming a filter).
+# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
+
+FILTER_SOURCE_PATTERNS =
+
+# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
+# is part of the input, its contents will be placed on the main page
+# (index.html). This can be useful if you have a project on for instance GitHub
+# and want to reuse the introduction page also for the doxygen output.
+
+USE_MDFILE_AS_MAINPAGE =
+
+#---------------------------------------------------------------------------
+# Configuration options related to source browsing
+#---------------------------------------------------------------------------
+
+# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
+# generated. Documented entities will be cross-referenced with these sources.
+#
+# Note: To get rid of all source code in the generated output, make sure that
+# also VERBATIM_HEADERS is set to NO.
+# The default value is: NO.
+
+SOURCE_BROWSER = NO
+
+# Setting the INLINE_SOURCES tag to YES will include the body of functions,
+# classes and enums directly into the documentation.
+# The default value is: NO.
+
+INLINE_SOURCES = NO
+
+# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
+# special comment blocks from generated source code fragments. Normal C, C++ and
+# Fortran comments will always remain visible.
+# The default value is: YES.
+
+STRIP_CODE_COMMENTS = YES
+
+# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
+# function all documented functions referencing it will be listed.
+# The default value is: NO.
+
+REFERENCED_BY_RELATION = YES
+
+# If the REFERENCES_RELATION tag is set to YES then for each documented function
+# all documented entities called/used by that function will be listed.
+# The default value is: NO.
+
+REFERENCES_RELATION = YES
+
+# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
+# to YES, then the hyperlinks from functions in REFERENCES_RELATION and
+# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
+# link to the documentation.
+# The default value is: YES.
+
+REFERENCES_LINK_SOURCE = YES
+
+# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
+# source code will show a tooltip with additional information such as prototype,
+# brief description and links to the definition and documentation. Since this
+# will make the HTML file larger and loading of large files a bit slower, you
+# can opt to disable this feature.
+# The default value is: YES.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+SOURCE_TOOLTIPS = YES
+
+# If the USE_HTAGS tag is set to YES then the references to source code will
+# point to the HTML generated by the htags(1) tool instead of doxygen built-in
+# source browser. The htags tool is part of GNU's global source tagging system
+# (see http://www.gnu.org/software/global/global.html). You will need version
+# 4.8.6 or higher.
+#
+# To use it do the following:
+# - Install the latest version of global
+# - Enable SOURCE_BROWSER and USE_HTAGS in the config file
+# - Make sure the INPUT points to the root of the source tree
+# - Run doxygen as normal
+#
+# Doxygen will invoke htags (and that will in turn invoke gtags), so these
+# tools must be available from the command line (i.e. in the search path).
+#
+# The result: instead of the source browser generated by doxygen, the links to
+# source code will now point to the output of htags.
+# The default value is: NO.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+USE_HTAGS = NO
+
+# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
+# verbatim copy of the header file for each class for which an include is
+# specified. Set to NO to disable this.
+# See also: Section \class.
+# The default value is: YES.
+
+VERBATIM_HEADERS = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to the alphabetical class index
+#---------------------------------------------------------------------------
+
+# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
+# compounds will be generated. Enable this if the project contains a lot of
+# classes, structs, unions or interfaces.
+# The default value is: YES.
+
+ALPHABETICAL_INDEX = YES
+
+# The COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns in
+# which the alphabetical index list will be split.
+# Minimum value: 1, maximum value: 20, default value: 5.
+# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
+
+COLS_IN_ALPHA_INDEX = 5
+
+# In case all classes in a project start with a common prefix, all classes will
+# be put under the same header in the alphabetical index. The IGNORE_PREFIX tag
+# can be used to specify a prefix (or a list of prefixes) that should be ignored
+# while generating the index headers.
+# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
+
+IGNORE_PREFIX =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the HTML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_HTML tag is set to YES doxygen will generate HTML output
+# The default value is: YES.
+
+GENERATE_HTML = YES
+
+# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_OUTPUT = html
+
+# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
+# generated HTML page (for example: .htm, .php, .asp).
+# The default value is: .html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FILE_EXTENSION = .html
+
+# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
+# each generated HTML page. If the tag is left blank doxygen will generate a
+# standard header.
+#
+# To get valid HTML the header file that includes any scripts and style sheets
+# that doxygen needs, which is dependent on the configuration options used (e.g.
+# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
+# default header using
+# doxygen -w html new_header.html new_footer.html new_stylesheet.css
+# YourConfigFile
+# and then modify the file new_header.html. See also section "Doxygen usage"
+# for information on how to generate the default header that doxygen normally
+# uses.
+# Note: The header is subject to change so you typically have to regenerate the
+# default header when upgrading to a newer version of doxygen. For a description
+# of the possible markers and block names see the documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_HEADER =
+
+# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
+# generated HTML page. If the tag is left blank doxygen will generate a standard
+# footer. See HTML_HEADER for more information on how to generate a default
+# footer and what special commands can be used inside the footer. See also
+# section "Doxygen usage" for information on how to generate the default footer
+# that doxygen normally uses.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FOOTER =
+
+# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
+# sheet that is used by each HTML page. It can be used to fine-tune the look of
+# the HTML output. If left blank doxygen will generate a default style sheet.
+# See also section "Doxygen usage" for information on how to generate the style
+# sheet that doxygen normally uses.
+# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
+# it is more robust and this tag (HTML_STYLESHEET) will in the future become
+# obsolete.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_STYLESHEET =
+
+# The HTML_EXTRA_STYLESHEET tag can be used to specify an additional user-
+# defined cascading style sheet that is included after the standard style sheets
+# created by doxygen. Using this option one can overrule certain style aspects.
+# This is preferred over using HTML_STYLESHEET since it does not replace the
+# standard style sheet and is therefor more robust against future updates.
+# Doxygen will copy the style sheet file to the output directory. For an example
+# see the documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_STYLESHEET =
+
+# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the HTML output directory. Note
+# that these files will be copied to the base HTML output directory. Use the
+# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
+# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
+# files will be copied as-is; there are no commands or markers available.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_FILES =
+
+# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
+# will adjust the colors in the stylesheet and background images according to
+# this color. Hue is specified as an angle on a colorwheel, see
+# http://en.wikipedia.org/wiki/Hue for more information. For instance the value
+# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
+# purple, and 360 is red again.
+# Minimum value: 0, maximum value: 359, default value: 220.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_HUE = 160
+
+# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
+# in the HTML output. For a value of 0 the output will use grayscales only. A
+# value of 255 will produce the most vivid colors.
+# Minimum value: 0, maximum value: 255, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_SAT = 100
+
+# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
+# luminance component of the colors in the HTML output. Values below 100
+# gradually make the output lighter, whereas values above 100 make the output
+# darker. The value divided by 100 is the actual gamma applied, so 80 represents
+# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
+# change the gamma.
+# Minimum value: 40, maximum value: 240, default value: 80.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_GAMMA = 80
+
+# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
+# page will contain the date and time when the page was generated. Setting this
+# to NO can help when comparing the output of multiple runs.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_TIMESTAMP = YES
+
+# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
+# documentation will contain sections that can be hidden and shown after the
+# page has loaded.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_DYNAMIC_SECTIONS = NO
+
+# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
+# shown in the various tree structured indices initially; the user can expand
+# and collapse entries dynamically later on. Doxygen will expand the tree to
+# such a level that at most the specified number of entries are visible (unless
+# a fully collapsed tree already exceeds this amount). So setting the number of
+# entries 1 will produce a full collapsed tree by default. 0 is a special value
+# representing an infinite number of entries and will result in a full expanded
+# tree by default.
+# Minimum value: 0, maximum value: 9999, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_INDEX_NUM_ENTRIES = 100
+
+# If the GENERATE_DOCSET tag is set to YES, additional index files will be
+# generated that can be used as input for Apple's Xcode 3 integrated development
+# environment (see: http://developer.apple.com/tools/xcode/), introduced with
+# OSX 10.5 (Leopard). To create a documentation set, doxygen will generate a
+# Makefile in the HTML output directory. Running make will produce the docset in
+# that directory and running make install will install the docset in
+# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
+# startup. See http://developer.apple.com/tools/creatingdocsetswithdoxygen.html
+# for more information.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_DOCSET = NO
+
+# This tag determines the name of the docset feed. A documentation feed provides
+# an umbrella under which multiple documentation sets from a single provider
+# (such as a company or product suite) can be grouped.
+# The default value is: Doxygen generated docs.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_FEEDNAME = "Doxygen generated docs"
+
+# This tag specifies a string that should uniquely identify the documentation
+# set bundle. This should be a reverse domain-name style string, e.g.
+# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_BUNDLE_ID = org.doxygen.Project
+
+# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
+# the documentation publisher. This should be a reverse domain-name style
+# string, e.g. com.mycompany.MyDocSet.documentation.
+# The default value is: org.doxygen.Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_ID = org.doxygen.Publisher
+
+# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
+# The default value is: Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_NAME = Publisher
+
+# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
+# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
+# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
+# (see: http://www.microsoft.com/en-us/download/details.aspx?id=21138) on
+# Windows.
+#
+# The HTML Help Workshop contains a compiler that can convert all HTML output
+# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
+# files are now used as the Windows 98 help format, and will replace the old
+# Windows help format (.hlp) on all Windows platforms in the future. Compressed
+# HTML files also contain an index, a table of contents, and you can search for
+# words in the documentation. The HTML workshop also contains a viewer for
+# compressed HTML files.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_HTMLHELP = NO
+
+# The CHM_FILE tag can be used to specify the file name of the resulting .chm
+# file. You can add a path in front of the file if the result should not be
+# written to the html output directory.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_FILE =
+
+# The HHC_LOCATION tag can be used to specify the location (absolute path
+# including file name) of the HTML help compiler ( hhc.exe). If non-empty
+# doxygen will try to run the HTML help compiler on the generated index.hhp.
+# The file has to be specified with full path.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+HHC_LOCATION =
+
+# The GENERATE_CHI flag controls if a separate .chi index file is generated (
+# YES) or that it should be included in the master .chm file ( NO).
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+GENERATE_CHI = NO
+
+# The CHM_INDEX_ENCODING is used to encode HtmlHelp index ( hhk), content ( hhc)
+# and project file content.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_INDEX_ENCODING =
+
+# The BINARY_TOC flag controls whether a binary table of contents is generated (
+# YES) or a normal table of contents ( NO) in the .chm file. Furthermore it
+# enables the Previous and Next buttons.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+BINARY_TOC = NO
+
+# The TOC_EXPAND flag can be set to YES to add extra items for group members to
+# the table of contents of the HTML help documentation and to the tree view.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+TOC_EXPAND = NO
+
+# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
+# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
+# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
+# (.qch) of the generated HTML documentation.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_QHP = NO
+
+# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
+# the file name of the resulting .qch file. The path specified is relative to
+# the HTML output folder.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QCH_FILE =
+
+# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
+# Project output. For more information please see Qt Help Project / Namespace
+# (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#namespace).
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_NAMESPACE = org.doxygen.Project
+
+# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
+# Help Project output. For more information please see Qt Help Project / Virtual
+# Folders (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#virtual-
+# folders).
+# The default value is: doc.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_VIRTUAL_FOLDER = doc
+
+# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
+# filter to add. For more information please see Qt Help Project / Custom
+# Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom-
+# filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_NAME =
+
+# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
+# custom filter to add. For more information please see Qt Help Project / Custom
+# Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom-
+# filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_ATTRS =
+
+# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
+# project's filter section matches. Qt Help Project / Filter Attributes (see:
+# http://qt-project.org/doc/qt-4.8/qthelpproject.html#filter-attributes).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_SECT_FILTER_ATTRS =
+
+# The QHG_LOCATION tag can be used to specify the location of Qt's
+# qhelpgenerator. If non-empty doxygen will try to run qhelpgenerator on the
+# generated .qhp file.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHG_LOCATION =
+
+# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
+# generated, together with the HTML files, they form an Eclipse help plugin. To
+# install this plugin and make it available under the help contents menu in
+# Eclipse, the contents of the directory containing the HTML and XML files needs
+# to be copied into the plugins directory of eclipse. The name of the directory
+# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
+# After copying Eclipse needs to be restarted before the help appears.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_ECLIPSEHELP = NO
+
+# A unique identifier for the Eclipse help plugin. When installing the plugin
+# the directory name containing the HTML and XML files should also have this
+# name. Each documentation set should have its own identifier.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
+
+ECLIPSE_DOC_ID = org.doxygen.Project
+
+# If you want full control over the layout of the generated HTML pages it might
+# be necessary to disable the index and replace it with your own. The
+# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
+# of each HTML page. A value of NO enables the index and the value YES disables
+# it. Since the tabs in the index contain the same information as the navigation
+# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+DISABLE_INDEX = NO
+
+# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
+# structure should be generated to display hierarchical information. If the tag
+# value is set to YES, a side panel will be generated containing a tree-like
+# index structure (just like the one that is generated for HTML Help). For this
+# to work a browser that supports JavaScript, DHTML, CSS and frames is required
+# (i.e. any modern browser). Windows users are probably better off using the
+# HTML help feature. Via custom stylesheets (see HTML_EXTRA_STYLESHEET) one can
+# further fine-tune the look of the index. As an example, the default style
+# sheet generated by doxygen has an example that shows how to put an image at
+# the root of the tree instead of the PROJECT_NAME. Since the tree basically has
+# the same information as the tab index, you could consider setting
+# DISABLE_INDEX to YES when enabling this option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_TREEVIEW = YES
+
+# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
+# doxygen will group on one line in the generated HTML documentation.
+#
+# Note that a value of 0 will completely suppress the enum values from appearing
+# in the overview section.
+# Minimum value: 0, maximum value: 20, default value: 4.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+ENUM_VALUES_PER_LINE = 4
+
+# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
+# to set the initial width (in pixels) of the frame in which the tree is shown.
+# Minimum value: 0, maximum value: 1500, default value: 250.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+TREEVIEW_WIDTH = 250
+
+# When the EXT_LINKS_IN_WINDOW option is set to YES doxygen will open links to
+# external symbols imported via tag files in a separate window.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+EXT_LINKS_IN_WINDOW = NO
+
+# Use this tag to change the font size of LaTeX formulas included as images in
+# the HTML documentation. When you change the font size after a successful
+# doxygen run you need to manually remove any form_*.png images from the HTML
+# output directory to force them to be regenerated.
+# Minimum value: 8, maximum value: 50, default value: 10.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FORMULA_FONTSIZE = 10
+
+# Use the FORMULA_TRANPARENT tag to determine whether or not the images
+# generated for formulas are transparent PNGs. Transparent PNGs are not
+# supported properly for IE 6.0, but are supported on all modern browsers.
+#
+# Note that when changing this option you need to delete any form_*.png files in
+# the HTML output directory before the changes have effect.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FORMULA_TRANSPARENT = YES
+
+# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
+# http://www.mathjax.org) which uses client side Javascript for the rendering
+# instead of using prerendered bitmaps. Use this if you do not have LaTeX
+# installed or if you want to formulas look prettier in the HTML output. When
+# enabled you may also need to install MathJax separately and configure the path
+# to it using the MATHJAX_RELPATH option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+USE_MATHJAX = NO
+
+# When MathJax is enabled you can set the default output format to be used for
+# the MathJax output. See the MathJax site (see:
+# http://docs.mathjax.org/en/latest/output.html) for more details.
+# Possible values are: HTML-CSS (which is slower, but has the best
+# compatibility), NativeMML (i.e. MathML) and SVG.
+# The default value is: HTML-CSS.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_FORMAT = HTML-CSS
+
+# When MathJax is enabled you need to specify the location relative to the HTML
+# output directory using the MATHJAX_RELPATH option. The destination directory
+# should contain the MathJax.js script. For instance, if the mathjax directory
+# is located at the same level as the HTML output directory, then
+# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
+# Content Delivery Network so you can quickly see the result without installing
+# MathJax. However, it is strongly recommended to install a local copy of
+# MathJax from http://www.mathjax.org before deployment.
+# The default value is: http://cdn.mathjax.org/mathjax/latest.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_RELPATH = http://cdn.mathjax.org/mathjax/latest
+
+# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
+# extension names that should be enabled during MathJax rendering. For example
+# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_EXTENSIONS =
+
+# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
+# of code that will be used on startup of the MathJax code. See the MathJax site
+# (see: http://docs.mathjax.org/en/latest/output.html) for more details. For an
+# example see the documentation.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_CODEFILE =
+
+# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
+# the HTML output. The underlying search engine uses javascript and DHTML and
+# should work on any modern browser. Note that when using HTML help
+# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
+# there is already a search function so this one should typically be disabled.
+# For large projects the javascript based search engine can be slow, then
+# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
+# search using the keyboard; to jump to the search box use <access key> + S
+# (what the <access key> is depends on the OS and browser, but it is typically
+# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
+# key> to jump into the search results window, the results can be navigated
+# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
+# the search. The filter options can be selected when the cursor is inside the
+# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
+# to select a filter and <Enter> or <escape> to activate or cancel the filter
+# option.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+SEARCHENGINE = YES
+
+# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
+# implemented using a web server instead of a web client using Javascript. There
+# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
+# setting. When disabled, doxygen will generate a PHP script for searching and
+# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
+# and searching needs to be provided by external tools. See the section
+# "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SERVER_BASED_SEARCH = NO
+
+# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
+# script for searching. Instead the search results are written to an XML file
+# which needs to be processed by an external indexer. Doxygen will invoke an
+# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
+# search results.
+#
+# Doxygen ships with an example indexer ( doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see: http://xapian.org/).
+#
+# See the section "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH = NO
+
+# The SEARCHENGINE_URL should point to a search engine hosted by a web server
+# which will return the search results when EXTERNAL_SEARCH is enabled.
+#
+# Doxygen ships with an example indexer ( doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see: http://xapian.org/). See the section "External Indexing and
+# Searching" for details.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHENGINE_URL =
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
+# search data is written to a file for indexing by an external tool. With the
+# SEARCHDATA_FILE tag the name of this file can be specified.
+# The default file is: searchdata.xml.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHDATA_FILE = searchdata.xml
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
+# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
+# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
+# projects and redirect the results back to the right project.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH_ID =
+
+# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
+# projects other than the one defined by this configuration file, but that are
+# all added to the same external search index. Each project needs to have a
+# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
+# to a relative location where the documentation can be found. The format is:
+# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTRA_SEARCH_MAPPINGS =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the LaTeX output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_LATEX tag is set to YES doxygen will generate LaTeX output.
+# The default value is: YES.
+
+GENERATE_LATEX = NO
+
+# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: latex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_OUTPUT = latex
+
+# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
+# invoked.
+#
+# Note that when enabling USE_PDFLATEX this option is only used for generating
+# bitmaps for formulas in the HTML output, but not in the Makefile that is
+# written to the output directory.
+# The default file is: latex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_CMD_NAME = latex
+
+# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
+# index for LaTeX.
+# The default file is: makeindex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+MAKEINDEX_CMD_NAME = makeindex
+
+# If the COMPACT_LATEX tag is set to YES doxygen generates more compact LaTeX
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+COMPACT_LATEX = NO
+
+# The PAPER_TYPE tag can be used to set the paper type that is used by the
+# printer.
+# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
+# 14 inches) and executive (7.25 x 10.5 inches).
+# The default value is: a4.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PAPER_TYPE = a4
+
+# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
+# that should be included in the LaTeX output. To get the times font for
+# instance you can specify
+# EXTRA_PACKAGES=times
+# If left blank no extra packages will be included.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+EXTRA_PACKAGES =
+
+# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the
+# generated LaTeX document. The header should contain everything until the first
+# chapter. If it is left blank doxygen will generate a standard header. See
+# section "Doxygen usage" for information on how to let doxygen write the
+# default header to a separate file.
+#
+# Note: Only use a user-defined header if you know what you are doing! The
+# following commands have a special meaning inside the header: $title,
+# $datetime, $date, $doxygenversion, $projectname, $projectnumber. Doxygen will
+# replace them by respectively the title of the page, the current date and time,
+# only the current date, the version number of doxygen, the project name (see
+# PROJECT_NAME), or the project number (see PROJECT_NUMBER).
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HEADER =
+
+# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the
+# generated LaTeX document. The footer should contain everything after the last
+# chapter. If it is left blank doxygen will generate a standard footer.
+#
+# Note: Only use a user-defined footer if you know what you are doing!
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_FOOTER =
+
+# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the LATEX_OUTPUT output
+# directory. Note that the files will be copied as-is; there are no commands or
+# markers available.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EXTRA_FILES =
+
+# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
+# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
+# contain links (just like the HTML output) instead of page references. This
+# makes the output suitable for online browsing using a PDF viewer.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PDF_HYPERLINKS = YES
+
+# If the LATEX_PDFLATEX tag is set to YES, doxygen will use pdflatex to generate
+# the PDF file directly from the LaTeX files. Set this option to YES to get a
+# higher quality PDF documentation.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+USE_PDFLATEX = YES
+
+# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode
+# command to the generated LaTeX files. This will instruct LaTeX to keep running
+# if errors occur, instead of asking the user for help. This option is also used
+# when generating formulas in HTML.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BATCHMODE = NO
+
+# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
+# index chapters (such as File Index, Compound Index, etc.) in the output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HIDE_INDICES = NO
+
+# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source
+# code with syntax highlighting in the LaTeX output.
+#
+# Note that which sources are shown also depends on other settings such as
+# SOURCE_BROWSER.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_SOURCE_CODE = NO
+
+# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
+# bibliography, e.g. plainnat, or ieeetr. See
+# http://en.wikipedia.org/wiki/BibTeX and \cite for more info.
+# The default value is: plain.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BIB_STYLE = plain
+
+#---------------------------------------------------------------------------
+# Configuration options related to the RTF output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_RTF tag is set to YES doxygen will generate RTF output. The
+# RTF output is optimized for Word 97 and may not look too pretty with other RTF
+# readers/editors.
+# The default value is: NO.
+
+GENERATE_RTF = NO
+
+# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: rtf.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_OUTPUT = rtf
+
+# If the COMPACT_RTF tag is set to YES doxygen generates more compact RTF
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+COMPACT_RTF = NO
+
+# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
+# contain hyperlink fields. The RTF file will contain links (just like the HTML
+# output) instead of page references. This makes the output suitable for online
+# browsing using Word or some other Word compatible readers that support those
+# fields.
+#
+# Note: WordPad (write) and others do not support links.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_HYPERLINKS = NO
+
+# Load stylesheet definitions from file. Syntax is similar to doxygen's config
+# file, i.e. a series of assignments. You only have to provide replacements,
+# missing definitions are set to their default value.
+#
+# See also section "Doxygen usage" for information on how to generate the
+# default style sheet that doxygen normally uses.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_STYLESHEET_FILE =
+
+# Set optional variables used in the generation of an RTF document. Syntax is
+# similar to doxygen's config file. A template extensions file can be generated
+# using doxygen -e rtf extensionFile.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_EXTENSIONS_FILE =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the man page output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_MAN tag is set to YES doxygen will generate man pages for
+# classes and files.
+# The default value is: NO.
+
+GENERATE_MAN = NO
+
+# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it. A directory man3 will be created inside the directory specified by
+# MAN_OUTPUT.
+# The default directory is: man.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_OUTPUT = man
+
+# The MAN_EXTENSION tag determines the extension that is added to the generated
+# man pages. In case the manual section does not start with a number, the number
+# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
+# optional.
+# The default value is: .3.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_EXTENSION = .3
+
+# The MAN_SUBDIR tag determines the name of the directory created within
+# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
+# MAN_EXTENSION with the initial . removed.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_SUBDIR =
+
+# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
+# will generate one additional man file for each entity documented in the real
+# man page(s). These additional files only source the real man page, but without
+# them the man command would be unable to find the correct page.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_LINKS = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the XML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_XML tag is set to YES doxygen will generate an XML file that
+# captures the structure of the code including all documentation.
+# The default value is: NO.
+
+GENERATE_XML = NO
+
+# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: xml.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_OUTPUT = xml
+
+# If the XML_PROGRAMLISTING tag is set to YES doxygen will dump the program
+# listings (including syntax highlighting and cross-referencing information) to
+# the XML output. Note that enabling this will significantly increase the size
+# of the XML output.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_PROGRAMLISTING = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to the DOCBOOK output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_DOCBOOK tag is set to YES doxygen will generate Docbook files
+# that can be used to generate PDF.
+# The default value is: NO.
+
+GENERATE_DOCBOOK = NO
+
+# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
+# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
+# front of it.
+# The default directory is: docbook.
+# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
+
+DOCBOOK_OUTPUT = docbook
+
+#---------------------------------------------------------------------------
+# Configuration options for the AutoGen Definitions output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_AUTOGEN_DEF tag is set to YES doxygen will generate an AutoGen
+# Definitions (see http://autogen.sf.net) file that captures the structure of
+# the code including all documentation. Note that this feature is still
+# experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_AUTOGEN_DEF = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the Perl module output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_PERLMOD tag is set to YES doxygen will generate a Perl module
+# file that captures the structure of the code including all documentation.
+#
+# Note that this feature is still experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_PERLMOD = NO
+
+# If the PERLMOD_LATEX tag is set to YES doxygen will generate the necessary
+# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI
+# output from the Perl module output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_LATEX = NO
+
+# If the PERLMOD_PRETTY tag is set to YES the Perl module output will be nicely
+# formatted so it can be parsed by a human reader. This is useful if you want to
+# understand what is going on. On the other hand, if this tag is set to NO the
+# size of the Perl module output will be much smaller and Perl will parse it
+# just the same.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_PRETTY = YES
+
+# The names of the make variables in the generated doxyrules.make file are
+# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful
+# so different doxyrules.make files included by the same Makefile don't
+# overwrite each other's variables.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_MAKEVAR_PREFIX =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the preprocessor
+#---------------------------------------------------------------------------
+
+# If the ENABLE_PREPROCESSING tag is set to YES doxygen will evaluate all
+# C-preprocessor directives found in the sources and include files.
+# The default value is: YES.
+
+ENABLE_PREPROCESSING = YES
+
+# If the MACRO_EXPANSION tag is set to YES doxygen will expand all macro names
+# in the source code. If set to NO only conditional compilation will be
+# performed. Macro expansion can be done in a controlled way by setting
+# EXPAND_ONLY_PREDEF to YES.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+MACRO_EXPANSION = NO
+
+# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
+# the macro expansion is limited to the macros specified with the PREDEFINED and
+# EXPAND_AS_DEFINED tags.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_ONLY_PREDEF = NO
+
+# If the SEARCH_INCLUDES tag is set to YES the includes files in the
+# INCLUDE_PATH will be searched if a #include is found.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SEARCH_INCLUDES = YES
+
+# The INCLUDE_PATH tag can be used to specify one or more directories that
+# contain include files that are not input files but should be processed by the
+# preprocessor.
+# This tag requires that the tag SEARCH_INCLUDES is set to YES.
+
+INCLUDE_PATH =
+
+# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
+# patterns (like *.h and *.hpp) to filter out the header-files in the
+# directories. If left blank, the patterns specified with FILE_PATTERNS will be
+# used.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+INCLUDE_FILE_PATTERNS =
+
+# The PREDEFINED tag can be used to specify one or more macro names that are
+# defined before the preprocessor is started (similar to the -D option of e.g.
+# gcc). The argument of the tag is a list of macros of the form: name or
+# name=definition (no spaces). If the definition and the "=" are omitted, "=1"
+# is assumed. To prevent a macro definition from being undefined via #undef or
+# recursively expanded use the := operator instead of the = operator.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+PREDEFINED = DOXYGEN_SHOULD_SKIP_THIS
+
+# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
+# tag can be used to specify a list of macro names that should be expanded. The
+# macro definition that is found in the sources will be used. Use the PREDEFINED
+# tag if you want to use a different macro definition that overrules the
+# definition found in the source code.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_AS_DEFINED =
+
+# If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will
+# remove all references to function-like macros that are alone on a line, have
+# an all uppercase name, and do not end with a semicolon. Such function macros
+# are typically used for boiler-plate code, and will confuse the parser if not
+# removed.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SKIP_FUNCTION_MACROS = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to external references
+#---------------------------------------------------------------------------
+
+# The TAGFILES tag can be used to specify one or more tag files. For each tag
+# file the location of the external documentation should be added. The format of
+# a tag file without this location is as follows:
+# TAGFILES = file1 file2 ...
+# Adding location for the tag files is done as follows:
+# TAGFILES = file1=loc1 "file2 = loc2" ...
+# where loc1 and loc2 can be relative or absolute paths or URLs. See the
+# section "Linking to external documentation" for more information about the use
+# of tag files.
+# Note: Each tag file must have a unique name (where the name does NOT include
+# the path). If a tag file is not located in the directory in which doxygen is
+# run, you must also specify the path to the tagfile here.
+
+TAGFILES = ../../ct_doc/doc/tags/ct_core.tag=../../../ct_core/doc/html \
+ ../../ct_doc/doc/tags/ct_optcon.tag=../../../ct_optcon/doc/html \
+ ../../ct_doc/doc/tags/ct_rbd.tag=../../../ct_rbd/doc/html
+
+# When a file name is specified after GENERATE_TAGFILE, doxygen will create a
+# tag file that is based on the input files it reads. See section "Linking to
+# external documentation" for more information about the usage of tag files.
+
+GENERATE_TAGFILE = ../../ct_doc/doc/tags/ct_models.tag
+
+# If the ALLEXTERNALS tag is set to YES all external class will be listed in the
+# class index. If set to NO only the inherited external classes will be listed.
+# The default value is: NO.
+
+ALLEXTERNALS = NO
+
+# If the EXTERNAL_GROUPS tag is set to YES all external groups will be listed in
+# the modules index. If set to NO, only the current project's groups will be
+# listed.
+# The default value is: YES.
+
+EXTERNAL_GROUPS = NO
+
+# If the EXTERNAL_PAGES tag is set to YES all external pages will be listed in
+# the related pages index. If set to NO, only the current project's pages will
+# be listed.
+# The default value is: YES.
+
+EXTERNAL_PAGES = YES
+
+# The PERL_PATH should be the absolute path and name of the perl script
+# interpreter (i.e. the result of 'which perl').
+# The default file (with absolute path) is: /usr/bin/perl.
+
+PERL_PATH = /usr/bin/perl
+
+#---------------------------------------------------------------------------
+# Configuration options related to the dot tool
+#---------------------------------------------------------------------------
+
+# If the CLASS_DIAGRAMS tag is set to YES doxygen will generate a class diagram
+# (in HTML and LaTeX) for classes with base or super classes. Setting the tag to
+# NO turns the diagrams off. Note that this option also works with HAVE_DOT
+# disabled, but it is recommended to install and use dot, since it yields more
+# powerful graphs.
+# The default value is: YES.
+
+CLASS_DIAGRAMS = YES
+
+# You can define message sequence charts within doxygen comments using the \msc
+# command. Doxygen will then run the mscgen tool (see:
+# http://www.mcternan.me.uk/mscgen/)) to produce the chart and insert it in the
+# documentation. The MSCGEN_PATH tag allows you to specify the directory where
+# the mscgen tool resides. If left empty the tool is assumed to be found in the
+# default search path.
+
+MSCGEN_PATH =
+
+# You can include diagrams made with dia in doxygen documentation. Doxygen will
+# then run dia to produce the diagram and insert it in the documentation. The
+# DIA_PATH tag allows you to specify the directory where the dia binary resides.
+# If left empty dia is assumed to be found in the default search path.
+
+DIA_PATH =
+
+# If set to YES, the inheritance and collaboration graphs will hide inheritance
+# and usage relations if the target is undocumented or is not a class.
+# The default value is: YES.
+
+HIDE_UNDOC_RELATIONS = YES
+
+# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is
+# available from the path. This tool is part of Graphviz (see:
+# http://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent
+# Bell Labs. The other options in this section have no effect if this option is
+# set to NO
+# The default value is: YES.
+
+HAVE_DOT = NO
+
+# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is allowed
+# to run in parallel. When set to 0 doxygen will base this on the number of
+# processors available in the system. You can set it explicitly to a value
+# larger than 0 to get control over the balance between CPU load and processing
+# speed.
+# Minimum value: 0, maximum value: 32, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_NUM_THREADS = 0
+
+# When you want a differently looking font n the dot files that doxygen
+# generates you can specify the font name using DOT_FONTNAME. You need to make
+# sure dot is able to find the font, which can be done by putting it in a
+# standard location or by setting the DOTFONTPATH environment variable or by
+# setting DOT_FONTPATH to the directory containing the font.
+# The default value is: Helvetica.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTNAME = Helvetica
+
+# The DOT_FONTSIZE tag can be used to set the size (in points) of the font of
+# dot graphs.
+# Minimum value: 4, maximum value: 24, default value: 10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTSIZE = 10
+
+# By default doxygen will tell dot to use the default font as specified with
+# DOT_FONTNAME. If you specify a different font using DOT_FONTNAME you can set
+# the path where dot can find it using this tag.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTPATH =
+
+# If the CLASS_GRAPH tag is set to YES then doxygen will generate a graph for
+# each documented class showing the direct and indirect inheritance relations.
+# Setting this tag to YES will force the CLASS_DIAGRAMS tag to NO.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CLASS_GRAPH = YES
+
+# If the COLLABORATION_GRAPH tag is set to YES then doxygen will generate a
+# graph for each documented class showing the direct and indirect implementation
+# dependencies (inheritance, containment, and class references variables) of the
+# class with other documented classes.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+COLLABORATION_GRAPH = YES
+
+# If the GROUP_GRAPHS tag is set to YES then doxygen will generate a graph for
+# groups, showing the direct groups dependencies.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GROUP_GRAPHS = YES
+
+# If the UML_LOOK tag is set to YES doxygen will generate inheritance and
+# collaboration diagrams in a style similar to the OMG's Unified Modeling
+# Language.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+UML_LOOK = NO
+
+# If the UML_LOOK tag is enabled, the fields and methods are shown inside the
+# class node. If there are many fields or methods and many nodes the graph may
+# become too big to be useful. The UML_LIMIT_NUM_FIELDS threshold limits the
+# number of items for each type to make the size more manageable. Set this to 0
+# for no limit. Note that the threshold may be exceeded by 50% before the limit
+# is enforced. So when you set the threshold to 10, up to 15 fields may appear,
+# but if the number exceeds 15, the total amount of fields shown is limited to
+# 10.
+# Minimum value: 0, maximum value: 100, default value: 10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+UML_LIMIT_NUM_FIELDS = 10
+
+# If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and
+# collaboration graphs will show the relations between templates and their
+# instances.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+TEMPLATE_RELATIONS = NO
+
+# If the INCLUDE_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are set to
+# YES then doxygen will generate a graph for each documented file showing the
+# direct and indirect include dependencies of the file with other documented
+# files.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDE_GRAPH = YES
+
+# If the INCLUDED_BY_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are
+# set to YES then doxygen will generate a graph for each documented file showing
+# the direct and indirect include dependencies of the file with other documented
+# files.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDED_BY_GRAPH = YES
+
+# If the CALL_GRAPH tag is set to YES then doxygen will generate a call
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable call graphs for selected
+# functions only using the \callgraph command.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALL_GRAPH = NO
+
+# If the CALLER_GRAPH tag is set to YES then doxygen will generate a caller
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable caller graphs for selected
+# functions only using the \callergraph command.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALLER_GRAPH = NO
+
+# If the GRAPHICAL_HIERARCHY tag is set to YES then doxygen will graphical
+# hierarchy of all classes instead of a textual one.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GRAPHICAL_HIERARCHY = YES
+
+# If the DIRECTORY_GRAPH tag is set to YES then doxygen will show the
+# dependencies a directory has on other directories in a graphical way. The
+# dependency relations are determined by the #include relations between the
+# files in the directories.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DIRECTORY_GRAPH = YES
+
+# The DOT_IMAGE_FORMAT tag can be used to set the image format of the images
+# generated by dot.
+# Note: If you choose svg you need to set HTML_FILE_EXTENSION to xhtml in order
+# to make the SVG files visible in IE 9+ (other browsers do not have this
+# requirement).
+# Possible values are: png, png:cairo, png:cairo:cairo, png:cairo:gd, png:gd,
+# png:gd:gd, jpg, jpg:cairo, jpg:cairo:gd, jpg:gd, jpg:gd:gd, gif, gif:cairo,
+# gif:cairo:gd, gif:gd, gif:gd:gd and svg.
+# The default value is: png.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_IMAGE_FORMAT = png
+
+# If DOT_IMAGE_FORMAT is set to svg, then this option can be set to YES to
+# enable generation of interactive SVG images that allow zooming and panning.
+#
+# Note that this requires a modern browser other than Internet Explorer. Tested
+# and working are Firefox, Chrome, Safari, and Opera.
+# Note: For IE 9+ you need to set HTML_FILE_EXTENSION to xhtml in order to make
+# the SVG files visible. Older versions of IE do not have SVG support.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INTERACTIVE_SVG = NO
+
+# The DOT_PATH tag can be used to specify the path where the dot tool can be
+# found. If left blank, it is assumed the dot tool can be found in the path.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_PATH =
+
+# The DOTFILE_DIRS tag can be used to specify one or more directories that
+# contain dot files that are included in the documentation (see the \dotfile
+# command).
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOTFILE_DIRS =
+
+# The MSCFILE_DIRS tag can be used to specify one or more directories that
+# contain msc files that are included in the documentation (see the \mscfile
+# command).
+
+MSCFILE_DIRS =
+
+# The DIAFILE_DIRS tag can be used to specify one or more directories that
+# contain dia files that are included in the documentation (see the \diafile
+# command).
+
+DIAFILE_DIRS =
+
+# The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of nodes
+# that will be shown in the graph. If the number of nodes in a graph becomes
+# larger than this value, doxygen will truncate the graph, which is visualized
+# by representing a node as a red box. Note that doxygen if the number of direct
+# children of the root node in a graph is already larger than
+# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that
+# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.
+# Minimum value: 0, maximum value: 10000, default value: 50.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_GRAPH_MAX_NODES = 50
+
+# The MAX_DOT_GRAPH_DEPTH tag can be used to set the maximum depth of the graphs
+# generated by dot. A depth value of 3 means that only nodes reachable from the
+# root by following a path via at most 3 edges will be shown. Nodes that lay
+# further from the root node will be omitted. Note that setting this option to 1
+# or 2 may greatly reduce the computation time needed for large code bases. Also
+# note that the size of a graph can be further restricted by
+# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.
+# Minimum value: 0, maximum value: 1000, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+MAX_DOT_GRAPH_DEPTH = 0
+
+# Set the DOT_TRANSPARENT tag to YES to generate images with a transparent
+# background. This is disabled by default, because dot on Windows does not seem
+# to support this out of the box.
+#
+# Warning: Depending on the platform used, enabling this option may lead to
+# badly anti-aliased labels on the edges of a graph (i.e. they become hard to
+# read).
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_TRANSPARENT = NO
+
+# Set the DOT_MULTI_TARGETS tag to YES allow dot to generate multiple output
+# files in one run (i.e. multiple -o and -T options on the command line). This
+# makes dot run faster, but since only newer versions of dot (>1.8.10) support
+# this, this feature is disabled by default.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_MULTI_TARGETS = YES
+
+# If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page
+# explaining the meaning of the various boxes and arrows in the dot generated
+# graphs.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GENERATE_LEGEND = YES
+
+# If the DOT_CLEANUP tag is set to YES doxygen will remove the intermediate dot
+# files that are used to generate the various graphs.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_CLEANUP = YES
diff --git a/ct_models/doc/mainpage.dox b/ct_models/doc/mainpage.dox
new file mode 100644
index 0000000..dee1036
--- /dev/null
+++ b/ct_models/doc/mainpage.dox
@@ -0,0 +1,13 @@
+/*!
+\mainpage CT Models
+
+\section ct_models_mod Control Toolbox - Models Module
+
+This module is part of the ADRL Control Toolbox ('CT'), an open-source C++ library for efficient modelling, control,
+estimation and trajectory optimization for robotics.
+
+\section ct_models_install Installation and Usage
+CT Models is part of the Control Toolbox suite. See <a href="../../../ct_doc/doc/html/index.html"> CT main documentation</a> for installation and usage instructions.
+
+*/
+
diff --git a/ct_models/examples/InvertedPendulum/NLOC_MPC.cpp b/ct_models/examples/InvertedPendulum/NLOC_MPC.cpp
new file mode 100644
index 0000000..298b813
--- /dev/null
+++ b/ct_models/examples/InvertedPendulum/NLOC_MPC.cpp
@@ -0,0 +1,194 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/optcon/optcon.h>
+#include <ct/rbd/rbd.h>
+#include "../exampleDir.h"
+
+#include <ct/models/InvertedPendulum/InvertedPendulum.h>
+
+using namespace ct::rbd;
+
+const size_t njoints = ct::rbd::InvertedPendulum::Kinematics::NJOINTS;
+const size_t actuator_state_dim = 1;
+
+typedef ct::rbd::InvertedPendulum::tpl::Dynamics<double> IPDynamics;
+typedef ct::rbd::FixBaseFDSystem<IPDynamics, actuator_state_dim, false> IPSystem;
+
+typedef ct::core::LinearSystem<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM, double> LinearSystem;
+
+using InvertedPendulumNLOC = FixBaseNLOC<IPSystem, actuator_state_dim, double>;
+
+class MPCSimulator : public ct::core::ControlSimulator<IPSystem>
+{
+public:
+ MPCSimulator(ct::core::Time sim_dt,
+ ct::core::Time control_dt,
+ const ct::core::StateVector<STATE_DIM>& x0,
+ std::shared_ptr<IPSystem> ip_system,
+ ct::optcon::MPC<ct::optcon::NLOptConSolver<STATE_DIM, CONTROL_DIM>>& mpc)
+ : ct::core::ControlSimulator<IPSystem>(sim_dt, control_dt, x0, ip_system), mpc_(mpc)
+ {
+ controller_.reset(new ct::core::StateFeedbackController<STATE_DIM, CONTROL_DIM>);
+ }
+
+ void finishSystemIteration(ct::core::Time sim_time) override
+ {
+ control_mtx_.lock();
+ system_->setController(controller_);
+ control_mtx_.unlock();
+ }
+
+ void prepareControllerIteration(ct::core::Time sim_time) override
+ {
+ mpc_.prepareIteration(sim_time);
+ }
+
+ void finishControllerIteration(ct::core::Time sim_time) override
+ {
+ state_mtx_.lock();
+ ct::core::StateVector<STATE_DIM> x_temp = x_;
+ state_mtx_.unlock();
+
+ std::shared_ptr<ct::core::StateFeedbackController<STATE_DIM, CONTROL_DIM>> new_controller(
+ new ct::core::StateFeedbackController<STATE_DIM, CONTROL_DIM>);
+ bool success = mpc_.finishIteration(x_temp, sim_time, *new_controller, controller_ts_);
+ if (!success) throw std::runtime_error("Failed to finish iteration.");
+
+ control_mtx_.lock();
+ controller_ = new_controller;
+ control_mtx_.unlock();
+ }
+
+private:
+ ct::optcon::MPC<ct::optcon::NLOptConSolver<STATE_DIM, CONTROL_DIM>>& mpc_;
+ ct::core::Time controller_ts_;
+};
+
+int main(int argc, char* argv[])
+{
+ const bool verbose = true;
+ try
+ {
+ std::string workingDirectory = ct::models::exampleDir + "/InvertedPendulum";
+
+ std::string configFile = workingDirectory + "/solver.info";
+ std::string costFunctionFile = workingDirectory + "/cost.info";
+
+ std::shared_ptr<ct::rbd::SEADynamicsFirstOrder<njoints, double>> actuatorDynamics(
+ new ct::rbd::SEADynamicsFirstOrder<njoints, double>(160.0));
+ std::shared_ptr<IPSystem> ipSystem(new IPSystem(actuatorDynamics));
+
+ // NLOC settings
+ ct::optcon::NLOptConSettings nloc_settings;
+ nloc_settings.load(configFile, verbose, "ilqr");
+
+ std::shared_ptr<ct::optcon::TermQuadratic<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM, double, double>>
+ termQuadInterm(new ct::optcon::TermQuadratic<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM, double, double>);
+ termQuadInterm->loadConfigFile(costFunctionFile, "term0", verbose);
+
+ std::shared_ptr<ct::optcon::TermQuadratic<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM, double, double>>
+ termQuadFinal(new ct::optcon::TermQuadratic<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM, double, double>);
+ termQuadFinal->loadConfigFile(costFunctionFile, "term1", verbose);
+
+ std::shared_ptr<ct::optcon::CostFunctionAnalytical<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM>> newCost(
+ new ct::optcon::CostFunctionAnalytical<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM>);
+ size_t intTermID = newCost->addIntermediateTerm(termQuadInterm);
+ size_t finalTermID = newCost->addFinalTerm(termQuadFinal);
+
+ ct::core::Time timeHorizon;
+ InvertedPendulumNLOC::FeedbackArray::value_type fbD;
+ ct::rbd::tpl::JointState<njoints, double> x0;
+ ct::rbd::tpl::JointState<njoints, double> xf;
+
+ ct::core::loadScalar(configFile, "timeHorizon", timeHorizon);
+ ct::core::loadMatrix(costFunctionFile, "K_init", fbD);
+ ct::core::loadMatrix(costFunctionFile, "x_0", x0.toImplementation());
+ ct::core::loadMatrix(costFunctionFile, "term1.weights.x_des", xf.toImplementation());
+ ct::core::StateVector<IPSystem::STATE_DIM> x0full = IPSystem::toFullState(x0.toImplementation());
+
+ std::shared_ptr<LinearSystem> linSystem = nullptr;
+ ct::optcon::OptConProblem<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM> optConProblem(
+ timeHorizon, x0full, ipSystem, newCost, linSystem);
+ InvertedPendulumNLOC nloc_solver(newCost, nloc_settings, ipSystem, verbose, linSystem);
+
+ int K = nloc_solver.getSettings().computeK(timeHorizon);
+
+ InvertedPendulumNLOC::StateVectorArray stateRefTraj(K + 1, x0full);
+ InvertedPendulumNLOC::FeedbackArray fbTrajectory(K, -fbD);
+ InvertedPendulumNLOC::ControlVectorArray ffTrajectory(K, InvertedPendulumNLOC::ControlVector::Zero());
+
+ int initType = 0;
+ ct::core::loadScalar(configFile, "initType", initType);
+
+ switch (initType)
+ {
+ case 0: // steady state
+ {
+ ct::core::ControlVector<IPSystem::CONTROL_DIM> uff_ref;
+ nloc_solver.initializeSteadyPose(x0, timeHorizon, K, uff_ref, -fbD);
+
+ std::vector<
+ std::shared_ptr<ct::optcon::CostFunctionQuadratic<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM>>>&
+ inst1 = nloc_solver.getSolver()->getCostFunctionInstances();
+
+ for (size_t i = 0; i < inst1.size(); i++)
+ {
+ inst1[i]->getIntermediateTermById(intTermID)->updateReferenceControl(uff_ref);
+ }
+ break;
+ }
+ case 1: // linear interpolation
+ {
+ nloc_solver.initializeDirectInterpolation(x0, xf, timeHorizon, K, -fbD);
+ break;
+ }
+ default:
+ {
+ throw std::runtime_error("illegal init type");
+ break;
+ }
+ }
+
+ std::cout << "waiting 1 second for begin" << std::endl;
+ std::this_thread::sleep_for(std::chrono::seconds(1));
+
+ nloc_solver.solve();
+ ct::core::StateFeedbackController<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM> initialSolution =
+ nloc_solver.getSolution();
+ InvertedPendulumNLOC::StateVectorArray x_nloc = initialSolution.x_ref();
+
+ // nloc_solver.retrieveLastRollout();
+
+ ct::optcon::NLOptConSettings ilqr_settings_mpc(nloc_solver.getSettings());
+ ilqr_settings_mpc.max_iterations = 1;
+ ilqr_settings_mpc.printSummary = false;
+
+ ct::optcon::mpc_settings mpc_settings;
+ mpc_settings.stateForwardIntegration_ = false;
+ mpc_settings.postTruncation_ = false;
+ mpc_settings.measureDelay_ = false;
+ mpc_settings.delayMeasurementMultiplier_ = 1.0;
+ mpc_settings.mpc_mode = ct::optcon::MPC_MODE::CONSTANT_RECEDING_HORIZON;
+ mpc_settings.coldStart_ = false;
+ mpc_settings.minimumTimeHorizonMpc_ = 3.0;
+
+ ct::optcon::MPC<ct::optcon::NLOptConSolver<IPSystem::STATE_DIM, IPSystem::CONTROL_DIM>> ilqr_mpc(
+ optConProblem, ilqr_settings_mpc, mpc_settings);
+ ilqr_mpc.setInitialGuess(initialSolution);
+
+ MPCSimulator mpc_sim(1e-3, 1e-2, x0full, ipSystem, ilqr_mpc);
+ std::cout << "simulating 3 seconds" << std::endl;
+ mpc_sim.simulate(3);
+ mpc_sim.finish();
+
+ ilqr_mpc.printMpcSummary();
+
+ } catch (std::runtime_error& e)
+ {
+ std::cout << "Exception caught: " << e.what() << std::endl;
+ }
+}
diff --git a/ct_models/examples/InvertedPendulum/cost.info b/ct_models/examples/InvertedPendulum/cost.info
new file mode 100644
index 0000000..df9b66c
--- /dev/null
+++ b/ct_models/examples/InvertedPendulum/cost.info
@@ -0,0 +1,114 @@
+term0
+{
+ name "intermediate cost"
+ kind "quadratic"
+ type 0 ; 0 = intermediate, 1 = final
+
+ weights
+ {
+ ; state weighting
+ Q
+ {
+ scaling 10
+
+ ; joint position
+ (0,0) 1.0
+
+ ; joint velocity
+ (1,1) 1.0
+
+ ; motor position
+ (2,2) 0.0
+ }
+
+ R
+ {
+ scaling 1
+
+ ; motor velocity
+
+ (0,0) 0.1
+ }
+
+ x_des
+ {
+ ; joint position
+ (0,0) 0.0
+
+ ; joint velocity
+ (1,0) 0.0
+
+ ; motor position
+ (2,0) 0.0
+ }
+ }
+}
+
+
+term1
+{
+ name "final cost"
+ kind "quadratic"
+ type 1 ; 0 = intermediate, 1 = final
+
+ weights
+ {
+ ; state weighting
+ Q
+ {
+ scaling 10
+
+ ; joint position
+ (0,0) 1.0
+
+ ; joint velocity
+ (1,1) 1.0
+
+ ; motor position
+ (2,2) 0.0
+ }
+
+ x_des
+ {
+ ; joint position
+ (0,0) 0.0
+
+ ; joint velocity
+ (1,0) 0.0
+
+ ; motor pos
+ (2,0) 0.0
+ }
+ }
+}
+
+
+; initial position
+x_0
+{
+ ; joint position
+ (0,0) -3.14
+
+ ; joint velocity
+ (1,0) 0.0
+
+ ; actuator position
+ (2,0) 0.0
+}
+
+
+K_init
+{
+ scaling 0.0
+
+ ; joint position
+ (0,0) 0.0
+
+ ; joint velocity
+ (1,0) 0.0
+}
+
+
+
+
+
diff --git a/ct_models/examples/InvertedPendulum/solver.info b/ct_models/examples/InvertedPendulum/solver.info
new file mode 100644
index 0000000..96d01ca
--- /dev/null
+++ b/ct_models/examples/InvertedPendulum/solver.info
@@ -0,0 +1,40 @@
+timeHorizon 3.0
+
+initType 0 ; 0 = steady state ID, 1 = linear, 2 = integrated with zero control action, 3 = random; 4=zero
+
+ilqr
+{
+ integrator RK4
+ useSensitivityIntegrator false
+ discretization Forward_euler
+ timeVaryingDiscretization false
+ dt 0.005
+ K_sim 1
+ K_shot 1
+ epsilon 0e-6
+ max_iterations 50
+ fixedHessianCorrection false
+ recordSmallestEigenvalue false
+ min_cost_improvement 1e-7
+ meritFunctionRho 0.0
+ maxDefectSum 1e-5
+ nThreads 1
+ nThreadsEigen 1
+ ;locp_solver HPIPM_SOLVER
+ locp_solver GNRICCATI_SOLVER
+ nlocp_algorithm GNMS
+ closedLoopShooting true
+ printSummary true
+ debugPrint false
+
+
+ line_search
+ {
+ active false ;
+ adaptive false ;
+ maxIterations 10 ;
+ alpha_0 1.0 ;
+ n_alpha 0.5 ;
+ debugPrint false
+ }
+}
diff --git a/ct_models/examples/exampleDir.h.in b/ct_models/examples/exampleDir.h.in
new file mode 100644
index 0000000..3452ef2
--- /dev/null
+++ b/ct_models/examples/exampleDir.h.in
@@ -0,0 +1,15 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+
+static const std::string exampleDir = "${CT_MODELS_EXAMPLE_DIR}";
+
+}
+}
diff --git a/ct_models/include/ct/models/CodegenOutputDirs.h.in b/ct_models/include/ct/models/CodegenOutputDirs.h.in
new file mode 100644
index 0000000..6d1648d
--- /dev/null
+++ b/ct_models/include/ct/models/CodegenOutputDirs.h.in
@@ -0,0 +1,11 @@
+#pragma once
+
+namespace ct {
+namespace models {
+
+static const std::string HYA_CODEGEN_OUTPUT_DIR = "${HYA_CODEGEN_OUTPUT_DIR}";
+static const std::string HYQ_CODEGEN_OUTPUT_DIR = "${HYQ_CODEGEN_OUTPUT_DIR}";
+
+}
+}
+
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/DoubleInvertedPendulum.h b/ct_models/include/ct/models/DoubleInvertedPendulum/DoubleInvertedPendulum.h
new file mode 100644
index 0000000..31e7120
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/DoubleInvertedPendulum.h
@@ -0,0 +1,38 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <Eigen/Core>
+#include <Eigen/StdVector>
+
+#include "generated/declarations.h"
+#include "generated/jsim.h"
+#include "generated/jacobians.h"
+#include "generated/traits.h"
+#include "generated/forward_dynamics.h"
+#include "generated/inertia_properties.h"
+#include "generated/inverse_dynamics.h"
+#include "generated/transforms.h"
+#include "generated/link_data_map.h"
+
+// define namespace and base
+#define ROBCOGEN_NS ct_DoubleInvertedPendulum
+#define TARGET_NS DoubleInvertedPendulum
+
+// define the links
+#define CT_BASE fr_DoubleInvertedPendulumBase
+#define CT_L0 fr_Link1
+#define CT_L1 fr_Link2
+
+// define single end effector (could also be multiple)
+#define CT_N_EE 1
+#define CT_EE0 fr_ee
+#define CT_EE0_IS_ON_LINK 1
+#define CT_EE0_FIRST_JOINT 0
+#define CT_EE0_LAST_JOINT 1
+
+#include <ct/rbd/robot/robcogen/robcogenHelpers.h>
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/CMakeLists.txt b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/CMakeLists.txt
new file mode 100644
index 0000000..50ae256
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/CMakeLists.txt
@@ -0,0 +1,51 @@
+#-------------------------------------------------------------------------------
+#
+# CMake file for the autogenerated C++ code for the robot ct_DoubleInvertedPendulum
+#
+# ADVanced Robotics department (ADVR)
+# Fondazione Istituto Italiano di Tecnologia
+#
+# Author: Marco Frigerio
+# Note: this file has been generated by the Robotics Code Generator.
+# Do not edit unless you know what you are doing.
+#-------------------------------------------------------------------------------
+
+# Project configuration
+cmake_minimum_required(VERSION 2.8)
+project(gen_ct_doubleinvertedpendulum)
+
+set(EIGEN_ROOT $ENV{EIGEN_ROOT} CACHE PATH "Path to Eigen headers")
+set(HEADER_INSTALL_ROOT /usr/local/include/ CACHE PATH "Where to install ct_DoubleInvertedPendulum headers")
+set(LIB_INSTALL_ROOT /usr/local/lib/ CACHE PATH "Where to install ct_DoubleInvertedPendulum library")
+
+SET(CMAKE_CXX_FLAGS "-g -std=c++11 -Wall -O3 -march=native -mtune=native -D EIGEN_NO_DEBUG")
+
+set(LIB_NAME iitgenct_doubleinvertedpendulum)
+
+set(HEADERS ./declarations.h
+ ./link_data_map.h
+ ./joint_data_map.h
+ ./transforms.h
+ ./kinematics_parameters.h
+ ./jacobians.h
+ ./traits.h
+ ./jsim.h
+ ./inverse_dynamics.h
+ ./forward_dynamics.h
+ ./inertia_properties.h
+ ./dynamics_parameters.h
+ ./miscellaneous.h)
+set(SOURCES ./miscellaneous.cpp)
+
+
+# Include directories
+include_directories(${EIGEN_ROOT})
+
+# Add library
+add_library(${LIB_NAME} SHARED ${SOURCES})
+
+# Install (ie copy) header files
+install(FILES ${HEADERS} DESTINATION ${HEADER_INSTALL_ROOT}/iit/robots/ct_doubleinvertedpendulum/)
+
+# Install the shared library
+install(TARGETS ${LIB_NAME} LIBRARY DESTINATION ${LIB_INSTALL_ROOT})
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/declarations.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/declarations.h
new file mode 100644
index 0000000..ae4dbce
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/declarations.h
@@ -0,0 +1,44 @@
+#ifndef IIT_ROBOT_CT_DOUBLEINVERTEDPENDULUM_DECLARATIONS_H_
+#define IIT_ROBOT_CT_DOUBLEINVERTEDPENDULUM_DECLARATIONS_H_
+
+#include <iit/rbd/rbd.h>
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+static const int JointSpaceDimension = 2;
+static const int jointsCount = 2;
+/** The total number of rigid bodies of this robot, including the base */
+static const int linksCount = 3;
+
+namespace tpl {
+template <typename SCALAR>
+using Column2d = iit::rbd::PlainMatrix<SCALAR, 2, 1>;
+
+template <typename SCALAR>
+using JointState = Column2d<SCALAR>;
+}
+
+using Column2d = tpl::Column2d<double>;
+typedef Column2d JointState;
+
+enum JointIdentifiers {
+ JOINT1 = 0
+ , JOINT2
+};
+
+enum LinkIdentifiers {
+ DOUBLEINVERTEDPENDULUMBASE = 0
+ , LINK1
+ , LINK2
+};
+
+static const JointIdentifiers orderedJointIDs[jointsCount] =
+ {JOINT1,JOINT2};
+
+static const LinkIdentifiers orderedLinkIDs[linksCount] =
+ {DOUBLEINVERTEDPENDULUMBASE,LINK1,LINK2};
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/default_dynparams_getter.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/default_dynparams_getter.h
new file mode 100644
index 0000000..1a77835
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/default_dynparams_getter.h
@@ -0,0 +1,30 @@
+#ifndef _CT_DOUBLEINVERTEDPENDULUM_DEFAULT_GETTER_INERTIA_PARAMETERS_
+#define _CT_DOUBLEINVERTEDPENDULUM_DEFAULT_GETTER_INERTIA_PARAMETERS_
+
+#include "dynamics_parameters.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+namespace dyn {
+
+class DefaultParamsGetter : public RuntimeParamsGetter
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ DefaultParamsGetter() {
+ resetDefaults();
+ }
+ ~DefaultParamsGetter() {};
+
+ public:
+ void resetDefaults() {
+ }
+
+ private:
+ RuntimeInertiaParams values;
+};
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/dynamics_parameters.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/dynamics_parameters.h
new file mode 100644
index 0000000..b38fef7
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/dynamics_parameters.h
@@ -0,0 +1,43 @@
+#ifndef _CT_DOUBLEINVERTEDPENDULUM_RUNTIME_INERTIA_PARAMETERS_
+#define _CT_DOUBLEINVERTEDPENDULUM_RUNTIME_INERTIA_PARAMETERS_
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+namespace dyn {
+/**
+ * \defgroup dynparams Dynamics-parameters
+ * Facilities related to the parameters of the inertia properties of the
+ * robot ct_DoubleInvertedPendulum.
+ *
+ * Inertia parameters are non-constants used in the robot model, where the
+ * inertia properties (mass, center of mass, intertia tensor) of the links
+ * are specified. Since the value of such parameters must be resolved
+ * at runtime, we sometimes refer to them as "runtime parameters", "runtime
+ * dynamics parameters", "runtime inertia parameters", etc.
+ *
+ * Do not confuse them with the "inertia properties" of links, which
+ * unfortunately, in the literature, are commonly referred to as
+ * "inertia parameters"... Here, the parameters are the non-constant
+ * fields of the inertia properties.
+ */
+
+ /**
+ * A container for the set of non-constant inertia parameters of the robot ct_DoubleInvertedPendulum
+ * \ingroup dynparams
+ */
+ struct RuntimeInertiaParams {
+ };
+
+ /**
+ * The interface for classes that can compute the actual value of the
+ * non-constant inertia parameters of the robot ct_DoubleInvertedPendulum.
+ * \ingroup dynparams
+ */
+ class RuntimeParamsGetter {
+ public:
+ };
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/forward_dynamics.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/forward_dynamics.h
new file mode 100644
index 0000000..bed89f6
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/forward_dynamics.h
@@ -0,0 +1,141 @@
+#ifndef IIT_ROBOT_CT_DOUBLEINVERTEDPENDULUM_FORWARD_DYNAMICS_H_
+#define IIT_ROBOT_CT_DOUBLEINVERTEDPENDULUM_FORWARD_DYNAMICS_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+namespace dyn {
+
+/**
+ * The Forward Dynamics routine for the robot ct_DoubleInvertedPendulum.
+ *
+ * The parameters common to most of the methods are the joint status \c q, the
+ * joint velocities \c qd and the joint forces \c tau. The accelerations \c qdd
+ * will be filled with the computed values. Overloaded methods without the \c q
+ * parameter use the current configuration of the robot; they are provided for
+ * the sake of efficiency, in case the kinematics transforms of the robot have
+ * already been updated elsewhere with the most recent configuration (eg by a
+ * call to setJointStatus()), so that it would be useless to compute them again.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class ForwardDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ // Convenient type aliases:
+
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Column6D Column6DS;
+ typedef typename CoreS::Matrix66 Matrix66S;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef typename iit::ct_DoubleInvertedPendulum::tpl::JointState<Scalar> JointState;
+ typedef iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT> MTransforms;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_DoubleInvertedPendulum, which will be used by this instance
+ * to compute the dynamics.
+ */
+ ForwardDynamics(InertiaProperties<TRAIT>& in, MTransforms& tr);
+ /** \name Forward dynamics
+ * The Articulated-Body-Algorithm to compute the joint accelerations
+ */ ///@{
+ /**
+ * \param qdd the joint accelerations vector (output parameter).
+ * \param q the joint status vector
+ * \param qd the joint velocities vector
+ * \param tau the joint forces (torque or force)
+ * \param fext the external forces, optional. Each force must be
+ * expressed in the reference frame of the link it is
+ * exerted on.
+ */
+ void fd(
+ JointState& qdd, // output parameter
+ const JointState& q, const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ void fd(
+ JointState& qdd, // output parameter
+ const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** Updates all the kinematics transforms used by this instance. */
+ void setJointStatus(const JointState& q) const;
+
+private:
+ InertiaProperties<TRAIT>* inertiaProps;
+ MTransforms* motionTransforms;
+
+ Matrix66S vcross; // support variable
+ Matrix66S Ia_r; // support variable, articulated inertia in the case of a revolute joint
+
+ // Link 'Link1' :
+ Matrix66S Link1_AI;
+ Velocity Link1_a;
+ Velocity Link1_v;
+ Velocity Link1_c;
+ Force Link1_p;
+
+ Column6DS Link1_U;
+ Scalar Link1_D;
+ Scalar Link1_u;
+ // Link 'Link2' :
+ Matrix66S Link2_AI;
+ Velocity Link2_a;
+ Velocity Link2_v;
+ Velocity Link2_c;
+ Force Link2_p;
+
+ Column6DS Link2_U;
+ Scalar Link2_D;
+ Scalar Link2_u;
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::setJointStatus(const JointState& q) const {
+ (motionTransforms-> fr_Link1_X_fr_DoubleInvertedPendulumBase)(q);
+ (motionTransforms-> fr_Link2_X_fr_Link1)(q);
+}
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ const JointState& q,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+ setJointStatus(q);
+ fd(qdd, qd, tau, fext);
+}
+
+}
+
+typedef tpl::ForwardDynamics<iit::rbd::DoubleTrait> ForwardDynamics;
+
+}
+}
+}
+
+#include "forward_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/forward_dynamics.impl.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/forward_dynamics.impl.h
new file mode 100644
index 0000000..4e1df0d
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/forward_dynamics.impl.h
@@ -0,0 +1,92 @@
+
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::ExtForces
+ iit::ct_DoubleInvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::ForwardDynamics(iit::ct_DoubleInvertedPendulum::dyn::tpl::InertiaProperties<TRAIT>& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ motionTransforms( & transforms )
+{
+ Link1_v.setZero();
+ Link1_c.setZero();
+ Link2_v.setZero();
+ Link2_c.setZero();
+
+ vcross.setZero();
+ Ia_r.setZero();
+
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+
+ Link1_AI = inertiaProps->getTensor_Link1();
+ Link1_p = - fext[LINK1];
+ Link2_AI = inertiaProps->getTensor_Link2();
+ Link2_p = - fext[LINK2];
+ // ---------------------- FIRST PASS ---------------------- //
+ // Note that, during the first pass, the articulated inertias are really
+ // just the spatial inertia of the links (see assignments above).
+ // Afterwards things change, and articulated inertias shall not be used
+ // in functions which work specifically with spatial inertias.
+
+ // + Link Link1
+ // - The spatial velocity:
+ Link1_v(iit::rbd::AZ) = qd(JOINT1);
+
+ // - The bias force term:
+ Link1_p += iit::rbd::vxIv(qd(JOINT1), Link1_AI);
+
+ // + Link Link2
+ // - The spatial velocity:
+ Link2_v = (motionTransforms-> fr_Link2_X_fr_Link1) * Link1_v;
+ Link2_v(iit::rbd::AZ) += qd(JOINT2);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(Link2_v, vcross);
+ Link2_c = vcross.col(iit::rbd::AZ) * qd(JOINT2);
+
+ // - The bias force term:
+ Link2_p += iit::rbd::vxIv(Link2_v, Link2_AI);
+
+
+ // ---------------------- SECOND PASS ---------------------- //
+ Matrix66S IaB;
+ Force pa;
+
+ // + Link Link2
+ Link2_u = tau(JOINT2) - Link2_p(iit::rbd::AZ);
+ Link2_U = Link2_AI.col(iit::rbd::AZ);
+ Link2_D = Link2_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(Link2_AI, Link2_U, Link2_D, Ia_r); // same as: Ia_r = Link2_AI - Link2_U/Link2_D * Link2_U.transpose();
+ pa = Link2_p + Ia_r * Link2_c + Link2_U * Link2_u/Link2_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_Link2_X_fr_Link1, IaB);
+ Link1_AI += IaB;
+ Link1_p += (motionTransforms-> fr_Link2_X_fr_Link1).transpose() * pa;
+
+ // + Link Link1
+ Link1_u = tau(JOINT1) - Link1_p(iit::rbd::AZ);
+ Link1_U = Link1_AI.col(iit::rbd::AZ);
+ Link1_D = Link1_U(iit::rbd::AZ);
+
+
+
+ // ---------------------- THIRD PASS ---------------------- //
+ Link1_a = (motionTransforms-> fr_Link1_X_fr_DoubleInvertedPendulumBase).col(iit::rbd::LZ) * Scalar(iit::rbd::g);
+ qdd(JOINT1) = (Link1_u - Link1_U.dot(Link1_a)) / Link1_D;
+ Link1_a(iit::rbd::AZ) += qdd(JOINT1);
+
+ Link2_a = (motionTransforms-> fr_Link2_X_fr_Link1) * Link1_a + Link2_c;
+ qdd(JOINT2) = (Link2_u - Link2_U.dot(Link2_a)) / Link2_D;
+ Link2_a(iit::rbd::AZ) += qdd(JOINT2);
+
+
+}
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inertia_properties.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inertia_properties.h
new file mode 100644
index 0000000..b27f0b7
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inertia_properties.h
@@ -0,0 +1,94 @@
+#ifndef IIT_ROBOT_CT_DOUBLEINVERTEDPENDULUM_INERTIA_PROPERTIES_H_
+#define IIT_ROBOT_CT_DOUBLEINVERTEDPENDULUM_INERTIA_PROPERTIES_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+/**
+ * This namespace encloses classes and functions related to the Dynamics
+ * of the robot ct_DoubleInvertedPendulum.
+ */
+namespace dyn {
+
+using InertiaMatrix = iit::rbd::InertiaMatrixDense;
+
+namespace tpl {
+
+template <typename TRAIT>
+class InertiaProperties {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+ typedef iit::rbd::Core<Scalar> CoreS;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> IMatrix;
+ typedef typename CoreS::Vector3 Vec3d;
+
+ InertiaProperties();
+ ~InertiaProperties();
+ const IMatrix& getTensor_Link1() const;
+ const IMatrix& getTensor_Link2() const;
+ Scalar getMass_Link1() const;
+ Scalar getMass_Link2() const;
+ const Vec3d& getCOM_Link1() const;
+ const Vec3d& getCOM_Link2() const;
+ Scalar getTotalMass() const;
+
+ private:
+
+ IMatrix tensor_Link1;
+ IMatrix tensor_Link2;
+ Vec3d com_Link1;
+ Vec3d com_Link2;
+};
+
+template <typename TRAIT>
+inline InertiaProperties<TRAIT>::~InertiaProperties() {}
+
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Link1() const {
+ return this->tensor_Link1;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Link2() const {
+ return this->tensor_Link2;
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_Link1() const {
+ return this->tensor_Link1.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_Link2() const {
+ return this->tensor_Link2.getMass();
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Link1() const {
+ return this->com_Link1;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Link2() const {
+ return this->com_Link2;
+}
+
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getTotalMass() const {
+ return 1.0 + 1.0;
+}
+
+}
+
+using InertiaProperties = tpl::InertiaProperties<rbd::DoubleTrait>;
+
+}
+}
+}
+
+#include "inertia_properties.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inertia_properties.impl.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inertia_properties.impl.h
new file mode 100644
index 0000000..19167fd
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inertia_properties.impl.h
@@ -0,0 +1,29 @@
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::dyn::tpl::InertiaProperties<TRAIT>::InertiaProperties()
+{
+ com_Link1 = iit::rbd::Vector3d(0.5,0.0,0.0).cast<Scalar>();
+ tensor_Link1.fill(
+ Scalar(1.0),
+ com_Link1,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(5.0E-4),
+ Scalar(0.251),
+ Scalar(0.2505),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(-2.1855406E-11)) );
+
+ com_Link2 = iit::rbd::Vector3d(0.5,0.0,0.0).cast<Scalar>();
+ tensor_Link2.fill(
+ Scalar(1.0),
+ com_Link2,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(5.0E-4),
+ Scalar(0.2505),
+ Scalar(0.251),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(0.0)) );
+
+}
+
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inverse_dynamics.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inverse_dynamics.h
new file mode 100644
index 0000000..b0811d8
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inverse_dynamics.h
@@ -0,0 +1,202 @@
+#ifndef IIT_CT_DOUBLEINVERTEDPENDULUM_INVERSE_DYNAMICS_H_
+#define IIT_CT_DOUBLEINVERTEDPENDULUM_INVERSE_DYNAMICS_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+#include "inertia_properties.h"
+#include "transforms.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+namespace dyn {
+
+/**
+ * The Inverse Dynamics routine for the robot ct_DoubleInvertedPendulum.
+ *
+ * In addition to the full Newton-Euler algorithm, specialized versions to compute
+ * only certain terms are provided.
+ * The parameters common to most of the methods are the joint status vector \c q, the
+ * joint velocity vector \c qd and the acceleration vector \c qdd.
+ *
+ * Additional overloaded methods are provided without the \c q parameter. These
+ * methods use the current configuration of the robot; they are provided for the
+ * sake of efficiency, in case the motion transforms of the robot have already
+ * been updated elsewhere with the most recent configuration (eg by a call to
+ * setJointStatus()), so that it is useless to compute them again.
+ *
+ * Whenever present, the external forces parameter is a set of external
+ * wrenches acting on the robot links. Each wrench must be expressed in
+ * the reference frame of the link it is excerted on.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class InverseDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Matrix66 Matrix66s;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+ typedef iit::ct_DoubleInvertedPendulum::tpl::JointState<Scalar> JointState;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT> MTransforms;
+ typedef InertiaProperties<TRAIT> IProperties;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_DoubleInvertedPendulum, which will be used by this instance
+ * to compute inverse-dynamics.
+ */
+ InverseDynamics(IProperties& in, MTransforms& tr);
+
+ /** \name Inverse dynamics
+ * The full Newton-Euler algorithm for the inverse dynamics of this robot.
+ *
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */
+ ///@{
+ void id(
+ JointState& jForces,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ void id(
+ JointState& jForces,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** \name Gravity terms
+ * The joint forces (linear or rotational) required to compensate
+ * for the effect of gravity, in a specific configuration.
+ */
+ ///@{
+ void G_terms(JointState& jForces, const JointState& q);
+ void G_terms(JointState& jForces);
+ ///@}
+
+ /** \name Centrifugal and Coriolis terms
+ * The forces (linear or rotational) acting on the joints due to centrifugal and
+ * Coriolis effects, for a specific configuration.
+ */
+ ///@{
+ void C_terms(JointState& jForces, const JointState& q, const JointState& qd);
+ void C_terms(JointState& jForces, const JointState& qd);
+ ///@}
+ /** Updates all the kinematics transforms used by the inverse dynamics routine. */
+ void setJointStatus(const JointState& q) const;
+
+public:
+ /** \name Getters
+ * These functions return various spatial quantities used internally
+ * by the inverse dynamics routines, like the spatial acceleration
+ * of the links.
+ *
+ * The getters can be useful to retrieve the additional data that is not
+ * returned explicitly by the inverse dynamics routines even though it
+ * is computed. For example, after a call to the inverse dynamics,
+ * the spatial velocity of all the links has been determined and
+ * can be accessed.
+ *
+ * However, beware that certain routines might not use some of the
+ * spatial quantities, which therefore would retain their last value
+ * without being updated nor reset (for example, the spatial velocity
+ * of the links is unaffected by the computation of the gravity terms).
+ */
+ ///@{
+ const Velocity& getVelocity_Link1() const { return Link1_v; }
+ const Acceleration& getAcceleration_Link1() const { return Link1_a; }
+ const Force& getForce_Link1() const { return Link1_f; }
+ const Velocity& getVelocity_Link2() const { return Link2_v; }
+ const Acceleration& getAcceleration_Link2() const { return Link2_a; }
+ const Force& getForce_Link2() const { return Link2_f; }
+ ///@}
+protected:
+ void firstPass(const JointState& qd, const JointState& qdd, const ExtForces& fext);
+ void secondPass(JointState& jForces);
+
+private:
+ IProperties* inertiaProps;
+ MTransforms* xm;
+private:
+ Matrix66s vcross; // support variable
+ // Link 'Link1' :
+ const InertiaMatrix& Link1_I;
+ Velocity Link1_v;
+ Acceleration Link1_a;
+ Force Link1_f;
+ // Link 'Link2' :
+ const InertiaMatrix& Link2_I;
+ Velocity Link2_v;
+ Acceleration Link2_a;
+ Force Link2_f;
+
+
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::setJointStatus(const JointState& q) const
+{
+ (xm->fr_Link1_X_fr_DoubleInvertedPendulumBase)(q);
+ (xm->fr_Link2_X_fr_Link1)(q);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::G_terms(JointState& jForces, const JointState& q)
+{
+ setJointStatus(q);
+ G_terms(jForces);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::C_terms(JointState& jForces, const JointState& q, const JointState& qd)
+{
+ setJointStatus(q);
+ C_terms(jForces, qd);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id(
+ JointState& jForces,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ setJointStatus(q);
+ id(jForces, qd, qdd, fext);
+}
+
+}
+
+typedef tpl::InverseDynamics<rbd::DoubleTrait> InverseDynamics;
+
+}
+}
+
+}
+
+#include "inverse_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inverse_dynamics.impl.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inverse_dynamics.impl.h
new file mode 100644
index 0000000..1add670
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/inverse_dynamics.impl.h
@@ -0,0 +1,99 @@
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::ExtForces
+iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::InverseDynamics(IProperties& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ xm( & transforms ),
+ Link1_I(inertiaProps->getTensor_Link1() ),
+ Link2_I(inertiaProps->getTensor_Link2() )
+ {
+#ifndef EIGEN_NO_DEBUG
+ std::cout << "Robot ct_DoubleInvertedPendulum, InverseDynamics<TRAIT>::InverseDynamics()" << std::endl;
+ std::cout << "Compiled with Eigen debug active" << std::endl;
+#endif
+ Link1_v.setZero();
+ Link2_v.setZero();
+
+ vcross.setZero();
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::id(
+ JointState& jForces,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ firstPass(qd, qdd, fext);
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::G_terms(JointState& jForces)
+{
+ // Link 'Link1'
+ Link1_a = (xm->fr_Link1_X_fr_DoubleInvertedPendulumBase).col(iit::rbd::LZ) * Scalar(iit::rbd::g);
+ Link1_f = Link1_I * Link1_a;
+ // Link 'Link2'
+ Link2_a = (xm->fr_Link2_X_fr_Link1) * Link1_a;
+ Link2_f = Link2_I * Link2_a;
+
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::C_terms(JointState& jForces, const JointState& qd)
+{
+ // Link 'Link1'
+ Link1_v(iit::rbd::AZ) = qd(JOINT1); // Link1_v = vJ, for the first link of a fixed base robot
+
+ Link1_f = iit::rbd::vxIv(qd(JOINT1), Link1_I);
+
+ // Link 'Link2'
+ Link2_v = ((xm->fr_Link2_X_fr_Link1) * Link1_v);
+ Link2_v(iit::rbd::AZ) += qd(JOINT2);
+
+ iit::rbd::motionCrossProductMx<Scalar>(Link2_v, vcross);
+
+ Link2_a = (vcross.col(iit::rbd::AZ) * qd(JOINT2));
+
+ Link2_f = Link2_I * Link2_a + iit::rbd::vxIv(Link2_v, Link2_I);
+
+
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::firstPass(const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ // First pass, link 'Link1'
+ Link1_a = (xm->fr_Link1_X_fr_DoubleInvertedPendulumBase).col(iit::rbd::LZ) * Scalar(iit::rbd::g);
+ Link1_a(iit::rbd::AZ) += qdd(JOINT1);
+ Link1_v(iit::rbd::AZ) = qd(JOINT1); // Link1_v = vJ, for the first link of a fixed base robot
+
+ Link1_f = Link1_I * Link1_a + iit::rbd::vxIv(qd(JOINT1), Link1_I) - fext[LINK1];
+
+ // First pass, link 'Link2'
+ Link2_v = ((xm->fr_Link2_X_fr_Link1) * Link1_v);
+ Link2_v(iit::rbd::AZ) += qd(JOINT2);
+
+ iit::rbd::motionCrossProductMx<Scalar>(Link2_v, vcross);
+
+ Link2_a = (xm->fr_Link2_X_fr_Link1) * Link1_a + vcross.col(iit::rbd::AZ) * qd(JOINT2);
+ Link2_a(iit::rbd::AZ) += qdd(JOINT2);
+
+ Link2_f = Link2_I * Link2_a + iit::rbd::vxIv(Link2_v, Link2_I) - fext[LINK2];
+
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::secondPass(JointState& jForces)
+{
+ // Link 'Link2'
+ jForces(JOINT2) = Link2_f(iit::rbd::AZ);
+ Link1_f += xm->fr_Link2_X_fr_Link1.transpose() * Link2_f;
+ // Link 'Link1'
+ jForces(JOINT1) = Link1_f(iit::rbd::AZ);
+}
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jacobians.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jacobians.h
new file mode 100644
index 0000000..66f6e7c
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jacobians.h
@@ -0,0 +1,81 @@
+#ifndef CT_DOUBLEINVERTEDPENDULUM_JACOBIANS_H_
+#define CT_DOUBLEINVERTEDPENDULUM_JACOBIANS_H_
+
+ #include <iit/rbd/rbd.h>
+#include <iit/rbd/TransformsBase.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "declarations.h"
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+template<typename SCALAR, int COLS, class M>
+class JacobianT : public iit::rbd::JacobianBase<tpl::JointState<SCALAR>, COLS, M>
+{};
+
+namespace tpl {
+
+/**
+ *
+ */
+template <typename TRAIT>
+class Jacobians {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef JointState<Scalar> JState;
+
+ class Type_fr_DoubleInvertedPendulumBase_J_fr_Link2 : public JacobianT<Scalar, 2, Type_fr_DoubleInvertedPendulumBase_J_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_J_fr_Link2();
+ const Type_fr_DoubleInvertedPendulumBase_J_fr_Link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_J_fr_Link1 : public JacobianT<Scalar, 1, Type_fr_DoubleInvertedPendulumBase_J_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_J_fr_Link1();
+ const Type_fr_DoubleInvertedPendulumBase_J_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_J_fr_ee : public JacobianT<Scalar, 2, Type_fr_DoubleInvertedPendulumBase_J_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_J_fr_ee();
+ const Type_fr_DoubleInvertedPendulumBase_J_fr_ee& update(const JState&);
+ protected:
+ };
+
+ public:
+ Jacobians();
+ void updateParameters();
+ public:
+ Type_fr_DoubleInvertedPendulumBase_J_fr_Link2 fr_DoubleInvertedPendulumBase_J_fr_Link2;
+ Type_fr_DoubleInvertedPendulumBase_J_fr_Link1 fr_DoubleInvertedPendulumBase_J_fr_Link1;
+ Type_fr_DoubleInvertedPendulumBase_J_fr_ee fr_DoubleInvertedPendulumBase_J_fr_ee;
+
+ protected:
+
+};
+
+} //namespace tpl
+
+using Jacobians = tpl::Jacobians<rbd::DoubleTrait>;
+
+#include "jacobians.impl.h"
+
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jacobians.impl.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jacobians.impl.h
new file mode 100644
index 0000000..8644f34
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jacobians.impl.h
@@ -0,0 +1,90 @@
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Jacobians
+ ()
+ :
+ fr_DoubleInvertedPendulumBase_J_fr_Link2(),
+ fr_DoubleInvertedPendulumBase_J_fr_Link1(),
+ fr_DoubleInvertedPendulumBase_J_fr_ee()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_Link2::Type_fr_DoubleInvertedPendulumBase_J_fr_Link2()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(4,1) = 0;
+ (*this)(5,1) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_Link2::update(const JState& jState) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( jState(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( jState(JOINT1));
+
+ (*this)(4,0) = - c_q_Joint1_;
+ (*this)(5,0) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_Link1::Type_fr_DoubleInvertedPendulumBase_J_fr_Link1()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(4,0) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_Link1::update(const JState& jState) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_ee::Type_fr_DoubleInvertedPendulumBase_J_fr_ee()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_ee& iit::ct_DoubleInvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_DoubleInvertedPendulumBase_J_fr_ee::update(const JState& jState) {
+ Scalar s_q_Joint1_;
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint1_ = TRAIT::sin( jState(JOINT1));
+ s_q_Joint2_ = TRAIT::sin( jState(JOINT2));
+ c_q_Joint1_ = TRAIT::cos( jState(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( jState(JOINT2));
+
+ (*this)(4,0) = ((( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_)) - c_q_Joint1_);
+ (*this)(4,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,0) = (((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_)) - s_q_Joint1_);
+ (*this)(5,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/joint_data_map.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/joint_data_map.h
new file mode 100644
index 0000000..118a6fa
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/joint_data_map.h
@@ -0,0 +1,90 @@
+#ifndef IIT_CT_DOUBLEINVERTEDPENDULUM_JOINT_DATA_MAP_H_
+#define IIT_CT_DOUBLEINVERTEDPENDULUM_JOINT_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+/**
+ * A very simple container to associate a generic data item to each joint
+ */
+template<typename T> class JointDataMap {
+private:
+ T data[jointsCount];
+public:
+ JointDataMap() {};
+ JointDataMap(const T& defaultValue);
+ JointDataMap(const JointDataMap& rhs);
+ JointDataMap& operator=(const JointDataMap& rhs);
+ JointDataMap& operator=(const T& rhs);
+ T& operator[](JointIdentifiers which);
+ const T& operator[](JointIdentifiers which) const;
+private:
+ void copydata(const JointDataMap& rhs);
+ void assigndata(const T& rhs);
+};
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const JointDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const JointDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& JointDataMap<T>::operator[](JointIdentifiers j) {
+ return data[j];
+}
+
+template<typename T> inline
+const T& JointDataMap<T>::operator[](JointIdentifiers j) const {
+ return data[j];
+}
+
+template<typename T> inline
+void JointDataMap<T>::copydata(const JointDataMap& rhs) {
+ data[JOINT1] = rhs[JOINT1];
+ data[JOINT2] = rhs[JOINT2];
+}
+
+template<typename T> inline
+void JointDataMap<T>::assigndata(const T& value) {
+ data[JOINT1] = value;
+ data[JOINT2] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const JointDataMap<T>& map) {
+ out
+ << " Joint1 = "
+ << map[JOINT1]
+ << " Joint2 = "
+ << map[JOINT2]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jsim.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jsim.h
new file mode 100644
index 0000000..91fb317
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jsim.h
@@ -0,0 +1,108 @@
+#ifndef IIT_CT_DOUBLEINVERTEDPENDULUM_JSIM_H_
+#define IIT_CT_DOUBLEINVERTEDPENDULUM_JSIM_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/StateDependentMatrix.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+namespace dyn {
+
+namespace tpl {
+
+/**
+ * The type of the Joint Space Inertia Matrix (JSIM) of the robot ct_DoubleInvertedPendulum.
+ */
+template <typename TRAIT>
+class JSIM : public iit::rbd::StateDependentMatrix<iit::ct_DoubleInvertedPendulum::tpl::JointState<typename TRAIT::Scalar>, 2, 2, JSIM<TRAIT>>
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ private:
+ typedef iit::rbd::StateDependentMatrix<iit::ct_DoubleInvertedPendulum::tpl::JointState<typename TRAIT::Scalar>, 2, 2, JSIM<TRAIT>> Base;
+ public:
+ typedef typename TRAIT::Scalar Scalar;
+ typedef typename iit::ct_DoubleInvertedPendulum::tpl::JointState<Scalar> JointState;
+ typedef iit::rbd::Core<Scalar> CoreS;
+ typedef typename Base::Index Index;
+ typedef typename iit::rbd::PlainMatrix<Scalar, 2, 2> MatrixType;
+ typedef InertiaProperties<TRAIT> IProperties;
+ typedef iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT> FTransforms;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+ typedef typename CoreS::ForceVector ForceVector;
+
+ public:
+ JSIM(IProperties&, FTransforms&);
+ ~JSIM() {}
+
+ const JSIM& update(const JointState&);
+
+
+ /**
+ * Computes and saves the matrix L of the L^T L factorization of this JSIM.
+ */
+ void computeL();
+ /**
+ * Computes and saves the inverse of this JSIM.
+ * This function assumes that computeL() has been called already, since it
+ * uses L to compute the inverse. The algorithm takes advantage of the branch
+ * induced sparsity of the robot, if any.
+ */
+ void computeInverse();
+ /**
+ * Returns an unmodifiable reference to the matrix L. See also computeL()
+ */
+ const MatrixType& getL() const;
+ /**
+ * Returns an unmodifiable reference to the inverse of this JSIM
+ */
+ const MatrixType& getInverse() const;
+
+ protected:
+ /**
+ * Computes and saves the inverse of the matrix L. See also computeL()
+ */
+ void computeLInverse();
+ private:
+ IProperties& linkInertias;
+ FTransforms* frcTransf;
+
+ // The composite-inertia tensor for each link
+ InertiaMatrix Link1_Ic;
+ const InertiaMatrix& Link2_Ic;
+ InertiaMatrix Ic_spare;
+
+ MatrixType L;
+ MatrixType Linv;
+ MatrixType inverse;
+};
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getL() const {
+ return L;
+}
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getInverse() const {
+ return inverse;
+}
+
+
+}
+
+typedef tpl::JSIM<rbd::DoubleTrait> JSIM;
+
+}
+}
+}
+
+#include "jsim.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jsim.impl.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jsim.impl.h
new file mode 100644
index 0000000..3c406d1
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/jsim.impl.h
@@ -0,0 +1,81 @@
+
+
+//Implementation of default constructor
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<TRAIT>::JSIM(IProperties& inertiaProperties, FTransforms& forceTransforms) :
+ linkInertias(inertiaProperties),
+ frcTransf( &forceTransforms ),
+ Link2_Ic(linkInertias.getTensor_Link2())
+{
+ //Initialize the matrix itself
+ this->setZero();
+}
+
+#define DATA tpl::JSIM<TRAIT>::operator()
+
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<TRAIT>& iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<TRAIT>::update(const JointState& state) {
+ ForceVector F;
+
+ // Precomputes only once the coordinate transforms:
+ frcTransf -> fr_Link1_X_fr_Link2(state);
+
+ // Initializes the composite inertia tensors
+ Link1_Ic = linkInertias.getTensor_Link1();
+
+ // "Bottom-up" loop to update the inertia-composite property of each link, for the current configuration
+
+ // Link Link2:
+ iit::rbd::transformInertia<Scalar>(Link2_Ic, frcTransf -> fr_Link1_X_fr_Link2, Ic_spare);
+ Link1_Ic += Ic_spare;
+
+ F = Link2_Ic.col(iit::rbd::AZ);
+ DATA(JOINT2, JOINT2) = F(iit::rbd::AZ);
+
+ F = frcTransf -> fr_Link1_X_fr_Link2 * F;
+ DATA(JOINT2, JOINT1) = F(iit::rbd::AZ);
+ DATA(JOINT1, JOINT2) = DATA(JOINT2, JOINT1);
+
+ // Link Link1:
+
+ F = Link1_Ic.col(iit::rbd::AZ);
+ DATA(JOINT1, JOINT1) = F(iit::rbd::AZ);
+
+
+ return *this;
+}
+
+#undef DATA
+#undef F
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<TRAIT>::computeL() {
+ L = this -> template triangularView<Eigen::Lower>();
+ // Joint Joint2, index 1 :
+ L(1, 1) = std::sqrt(L(1, 1));
+ L(1, 0) = L(1, 0) / L(1, 1);
+ L(0, 0) = L(0, 0) - L(1, 0) * L(1, 0);
+
+ // Joint Joint1, index 0 :
+ L(0, 0) = std::sqrt(L(0, 0));
+
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<TRAIT>::computeInverse() {
+ computeLInverse();
+
+ inverse(0, 0) = + (Linv(0, 0) * Linv(0, 0));
+ inverse(1, 1) = + (Linv(1, 0) * Linv(1, 0)) + (Linv(1, 1) * Linv(1, 1));
+ inverse(1, 0) = + (Linv(1, 0) * Linv(0, 0));
+ inverse(0, 1) = inverse(1, 0);
+}
+
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<TRAIT>::computeLInverse() {
+ //assumes L has been computed already
+ Linv(0, 0) = 1 / L(0, 0);
+ Linv(1, 1) = 1 / L(1, 1);
+ Linv(1, 0) = - Linv(0, 0) * ((Linv(1, 1) * L(1, 0)) + 0);
+}
+
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/kinematics_parameters.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/kinematics_parameters.h
new file mode 100644
index 0000000..1635973
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/kinematics_parameters.h
@@ -0,0 +1,11 @@
+#ifndef _CT_DOUBLEINVERTEDPENDULUM_PARAMETERS_GETTERS_
+#define _CT_DOUBLEINVERTEDPENDULUM_PARAMETERS_GETTERS_
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/link_data_map.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/link_data_map.h
new file mode 100644
index 0000000..d67f75e
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/link_data_map.h
@@ -0,0 +1,96 @@
+#ifndef IIT_CT_DOUBLEINVERTEDPENDULUM_LINK_DATA_MAP_H_
+#define IIT_CT_DOUBLEINVERTEDPENDULUM_LINK_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+/**
+ * A very simple container to associate a generic data item to each link
+ */
+template<typename T> class LinkDataMap {
+private:
+ T data[linksCount];
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ LinkDataMap() {};
+ LinkDataMap(const T& defaultValue);
+ LinkDataMap(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const T& rhs);
+ T& operator[](LinkIdentifiers which);
+ const T& operator[](LinkIdentifiers which) const;
+private:
+ void copydata(const LinkDataMap& rhs);
+ void assigndata(const T& commonValue);
+};
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const LinkDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const LinkDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& LinkDataMap<T>::operator[](LinkIdentifiers l) {
+ return data[l];
+}
+
+template<typename T> inline
+const T& LinkDataMap<T>::operator[](LinkIdentifiers l) const {
+ return data[l];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::copydata(const LinkDataMap& rhs) {
+ data[DOUBLEINVERTEDPENDULUMBASE] = rhs[DOUBLEINVERTEDPENDULUMBASE];
+ data[LINK1] = rhs[LINK1];
+ data[LINK2] = rhs[LINK2];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::assigndata(const T& value) {
+ data[DOUBLEINVERTEDPENDULUMBASE] = value;
+ data[LINK1] = value;
+ data[LINK2] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const LinkDataMap<T>& map) {
+ out
+ << " DoubleInvertedPendulumBase = "
+ << map[DOUBLEINVERTEDPENDULUMBASE]
+ << " Link1 = "
+ << map[LINK1]
+ << " Link2 = "
+ << map[LINK2]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/miscellaneous.cpp b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/miscellaneous.cpp
new file mode 100644
index 0000000..5a2be20
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/miscellaneous.cpp
@@ -0,0 +1,38 @@
+#include <iit/rbd/utils.h>
+#include "miscellaneous.h"
+
+using namespace iit::ct_DoubleInvertedPendulum;
+using namespace iit::ct_DoubleInvertedPendulum::dyn;
+
+iit::rbd::Vector3d iit::ct_DoubleInvertedPendulum::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const HomogeneousTransforms& ht)
+{
+ iit::rbd::Vector3d tmpSum(iit::rbd::Vector3d::Zero());
+
+
+ HomogeneousTransforms::MatrixType tmpX(HomogeneousTransforms::MatrixType::Identity());
+ tmpX = tmpX * ht.fr_DoubleInvertedPendulumBase_X_fr_Link1;
+ tmpSum += inertiaProps.getMass_Link1() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Link1()));
+
+ tmpX = tmpX * ht.fr_Link1_X_fr_Link2;
+ tmpSum += inertiaProps.getMass_Link2() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Link2()));
+
+
+ return tmpSum / inertiaProps.getTotalMass();
+}
+
+iit::rbd::Vector3d iit::ct_DoubleInvertedPendulum::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const JointState& q,
+ HomogeneousTransforms& ht)
+{
+ // First updates the coordinate transforms that will be used by the routine
+ ht.fr_DoubleInvertedPendulumBase_X_fr_Link1(q);
+ ht.fr_Link1_X_fr_Link2(q);
+
+ // The actual calculus
+ return getWholeBodyCOM(inertiaProps, ht);
+}
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/miscellaneous.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/miscellaneous.h
new file mode 100644
index 0000000..ffc6a0f
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/miscellaneous.h
@@ -0,0 +1,45 @@
+#ifndef IIT_ROBCOGEN__CT_DOUBLEINVERTEDPENDULUM_MISCELLANEOUS_H_
+#define IIT_ROBCOGEN__CT_DOUBLEINVERTEDPENDULUM_MISCELLANEOUS_H_
+
+#include "inertia_properties.h"
+#include "transforms.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+/** \name Center of mass calculation
+ * Computes the Center Of Mass (COM) position of the whole robot, in
+ * base coordinates.
+ *
+ * Common parameters are the inertia properties of the robot and the set
+ * of homogeneous coordinate transforms. If a joint status variable is
+ * also passed, then the transforms are updated accordingly; otherwise,
+ * they are not modified before being used.
+ */
+///@{
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const HomogeneousTransforms& transforms);
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param q the joint status vector describing the configuration of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const JointState& q,
+ HomogeneousTransforms& transforms);
+///@}
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/traits.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/traits.h
new file mode 100644
index 0000000..6039cc7
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/traits.h
@@ -0,0 +1,67 @@
+#ifndef IIT_ROBOGEN__CT_DOUBLEINVERTEDPENDULUM_TRAITS_H_
+#define IIT_ROBOGEN__CT_DOUBLEINVERTEDPENDULUM_TRAITS_H_
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inverse_dynamics.h"
+#include "forward_dynamics.h"
+#include "jsim.h"
+#include "inertia_properties.h"
+#include "jacobians.h"
+#include <iit/rbd/traits/TraitSelector.h>
+
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+namespace tpl {
+
+template <typename SCALAR>
+struct Traits {
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef SCALAR S;
+
+ typedef typename ct_DoubleInvertedPendulum::JointIdentifiers JointID;
+ typedef typename ct_DoubleInvertedPendulum::LinkIdentifiers LinkID;
+ typedef typename iit::rbd::tpl::TraitSelector<SCALAR>::Trait Trait;
+
+ typedef typename ct_DoubleInvertedPendulum::tpl::JointState<SCALAR> JointState;
+
+
+
+ typedef typename ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<Trait> HomogeneousTransforms;
+ typedef typename ct_DoubleInvertedPendulum::tpl::MotionTransforms<Trait> MotionTransforms;
+ typedef typename ct_DoubleInvertedPendulum::tpl::ForceTransforms<Trait> ForceTransforms;
+ typedef typename ct_DoubleInvertedPendulum::tpl::Jacobians<Trait> Jacobians;
+
+ typedef typename iit::ct_DoubleInvertedPendulum::dyn::tpl::InertiaProperties<Trait> InertiaProperties;
+ typedef typename iit::ct_DoubleInvertedPendulum::dyn::tpl::ForwardDynamics<Trait> FwdDynEngine;
+ typedef typename iit::ct_DoubleInvertedPendulum::dyn::tpl::InverseDynamics<Trait> InvDynEngine;
+ typedef typename iit::ct_DoubleInvertedPendulum::dyn::tpl::JSIM<Trait> JSIM;
+
+ static const int joints_count = ct_DoubleInvertedPendulum::jointsCount;
+ static const int links_count = ct_DoubleInvertedPendulum::linksCount;
+ static const bool floating_base = false;
+
+ static inline const JointID* orderedJointIDs();
+ static inline const LinkID* orderedLinkIDs();
+};
+
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::JointID* Traits<SCALAR>::orderedJointIDs() {
+ return ct_DoubleInvertedPendulum::orderedJointIDs;
+}
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::LinkID* Traits<SCALAR>::orderedLinkIDs() {
+ return ct_DoubleInvertedPendulum::orderedLinkIDs;
+}
+
+}
+
+typedef tpl::Traits<double> Traits; // default instantiation - backward compatibility...
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/transforms.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/transforms.h
new file mode 100644
index 0000000..409852f
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/transforms.h
@@ -0,0 +1,411 @@
+#ifndef CT_DOUBLEINVERTEDPENDULUM_TRANSFORMS_H_
+#define CT_DOUBLEINVERTEDPENDULUM_TRANSFORMS_H_
+
+#include <Eigen/Dense>
+#include <iit/rbd/TransformsBase.h>
+#include "declarations.h"
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_DoubleInvertedPendulum {
+
+template<typename SCALAR, class M>
+class TransformMotion : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformForce : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformHomogeneous : public iit::rbd::HomogeneousTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+namespace tpl {
+
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial motion vectors.
+ */
+template <typename TRAIT>
+class MotionTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformMotion<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Link1 : public TransformMotion<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link1();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Link2 : public TransformMotion<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link2();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_ee : public TransformMotion<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_ee();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link2_X_fr_DoubleInvertedPendulumBase : public TransformMotion<Scalar, Type_fr_Link2_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link2_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_Link2_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_DoubleInvertedPendulumBase : public TransformMotion<Scalar, Type_fr_Link1_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_Link1_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_DoubleInvertedPendulumBase : public TransformMotion<Scalar, Type_fr_ee_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_ee_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1 : public TransformMotion<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2 : public TransformMotion<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link2_X_fr_Link1 : public TransformMotion<Scalar, Type_fr_Link2_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link2_X_fr_Link1();
+ const Type_fr_Link2_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_Link2 : public TransformMotion<Scalar, Type_fr_Link1_X_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_Link2();
+ const Type_fr_Link1_X_fr_Link2& update(const JState&);
+ protected:
+ };
+
+public:
+ MotionTransforms();
+ void updateParameters();
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link1 fr_DoubleInvertedPendulumBase_X_fr_Link1;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link2 fr_DoubleInvertedPendulumBase_X_fr_Link2;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_ee fr_DoubleInvertedPendulumBase_X_fr_ee;
+ Type_fr_Link2_X_fr_DoubleInvertedPendulumBase fr_Link2_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_Link1_X_fr_DoubleInvertedPendulumBase fr_Link1_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_ee_X_fr_DoubleInvertedPendulumBase fr_ee_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1 fr_DoubleInvertedPendulumBase_X_fr_Joint1;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2 fr_DoubleInvertedPendulumBase_X_fr_Joint2;
+ Type_fr_Link2_X_fr_Link1 fr_Link2_X_fr_Link1;
+ Type_fr_Link1_X_fr_Link2 fr_Link1_X_fr_Link2;
+
+protected:
+
+}; //class 'MotionTransforms'
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial force vectors.
+ */
+template <typename TRAIT>
+class ForceTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformForce<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Link1 : public TransformForce<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link1();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Link2 : public TransformForce<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link2();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_ee : public TransformForce<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_ee();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link2_X_fr_DoubleInvertedPendulumBase : public TransformForce<Scalar, Type_fr_Link2_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link2_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_Link2_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_DoubleInvertedPendulumBase : public TransformForce<Scalar, Type_fr_Link1_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_Link1_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_DoubleInvertedPendulumBase : public TransformForce<Scalar, Type_fr_ee_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_ee_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1 : public TransformForce<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2 : public TransformForce<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link2_X_fr_Link1 : public TransformForce<Scalar, Type_fr_Link2_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link2_X_fr_Link1();
+ const Type_fr_Link2_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_Link2 : public TransformForce<Scalar, Type_fr_Link1_X_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_Link2();
+ const Type_fr_Link1_X_fr_Link2& update(const JState&);
+ protected:
+ };
+
+public:
+ ForceTransforms();
+ void updateParameters();
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link1 fr_DoubleInvertedPendulumBase_X_fr_Link1;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link2 fr_DoubleInvertedPendulumBase_X_fr_Link2;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_ee fr_DoubleInvertedPendulumBase_X_fr_ee;
+ Type_fr_Link2_X_fr_DoubleInvertedPendulumBase fr_Link2_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_Link1_X_fr_DoubleInvertedPendulumBase fr_Link1_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_ee_X_fr_DoubleInvertedPendulumBase fr_ee_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1 fr_DoubleInvertedPendulumBase_X_fr_Joint1;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2 fr_DoubleInvertedPendulumBase_X_fr_Joint2;
+ Type_fr_Link2_X_fr_Link1 fr_Link2_X_fr_Link1;
+ Type_fr_Link1_X_fr_Link2 fr_Link1_X_fr_Link2;
+
+protected:
+
+}; //class 'ForceTransforms'
+
+/**
+ * The class with the homogeneous (4x4) coordinates transformation
+ * matrices.
+ */
+template <typename TRAIT>
+class HomogeneousTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformHomogeneous<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Link1 : public TransformHomogeneous<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link1();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Link2 : public TransformHomogeneous<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link2();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_ee : public TransformHomogeneous<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_ee();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link2_X_fr_DoubleInvertedPendulumBase : public TransformHomogeneous<Scalar, Type_fr_Link2_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link2_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_Link2_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_DoubleInvertedPendulumBase : public TransformHomogeneous<Scalar, Type_fr_Link1_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_Link1_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_DoubleInvertedPendulumBase : public TransformHomogeneous<Scalar, Type_fr_ee_X_fr_DoubleInvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_DoubleInvertedPendulumBase();
+ const Type_fr_ee_X_fr_DoubleInvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1 : public TransformHomogeneous<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2 : public TransformHomogeneous<Scalar, Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2();
+ const Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link2_X_fr_Link1 : public TransformHomogeneous<Scalar, Type_fr_Link2_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link2_X_fr_Link1();
+ const Type_fr_Link2_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_Link2 : public TransformHomogeneous<Scalar, Type_fr_Link1_X_fr_Link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_Link2();
+ const Type_fr_Link1_X_fr_Link2& update(const JState&);
+ protected:
+ };
+
+public:
+ HomogeneousTransforms();
+ void updateParameters();
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link1 fr_DoubleInvertedPendulumBase_X_fr_Link1;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Link2 fr_DoubleInvertedPendulumBase_X_fr_Link2;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_ee fr_DoubleInvertedPendulumBase_X_fr_ee;
+ Type_fr_Link2_X_fr_DoubleInvertedPendulumBase fr_Link2_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_Link1_X_fr_DoubleInvertedPendulumBase fr_Link1_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_ee_X_fr_DoubleInvertedPendulumBase fr_ee_X_fr_DoubleInvertedPendulumBase;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1 fr_DoubleInvertedPendulumBase_X_fr_Joint1;
+ Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2 fr_DoubleInvertedPendulumBase_X_fr_Joint2;
+ Type_fr_Link2_X_fr_Link1 fr_Link2_X_fr_Link1;
+ Type_fr_Link1_X_fr_Link2 fr_Link1_X_fr_Link2;
+
+protected:
+
+}; //class 'HomogeneousTransforms'
+
+}
+
+using MotionTransforms = tpl::MotionTransforms<rbd::DoubleTrait>;
+using ForceTransforms = tpl::ForceTransforms<rbd::DoubleTrait>;
+using HomogeneousTransforms = tpl::HomogeneousTransforms<rbd::DoubleTrait>;
+
+}
+}
+
+#include "transforms.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/generated/transforms.impl.h b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/transforms.impl.h
new file mode 100644
index 0000000..fa3c634
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/generated/transforms.impl.h
@@ -0,0 +1,1398 @@
+
+// Constructors
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::MotionTransforms
+ ()
+ :
+ fr_DoubleInvertedPendulumBase_X_fr_Link1(),
+ fr_DoubleInvertedPendulumBase_X_fr_Link2(),
+ fr_DoubleInvertedPendulumBase_X_fr_ee(),
+ fr_Link2_X_fr_DoubleInvertedPendulumBase(),
+ fr_Link1_X_fr_DoubleInvertedPendulumBase(),
+ fr_ee_X_fr_DoubleInvertedPendulumBase(),
+ fr_DoubleInvertedPendulumBase_X_fr_Joint1(),
+ fr_DoubleInvertedPendulumBase_X_fr_Joint2(),
+ fr_Link2_X_fr_Link1(),
+ fr_Link1_X_fr_Link2()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::ForceTransforms
+ ()
+ :
+ fr_DoubleInvertedPendulumBase_X_fr_Link1(),
+ fr_DoubleInvertedPendulumBase_X_fr_Link2(),
+ fr_DoubleInvertedPendulumBase_X_fr_ee(),
+ fr_Link2_X_fr_DoubleInvertedPendulumBase(),
+ fr_Link1_X_fr_DoubleInvertedPendulumBase(),
+ fr_ee_X_fr_DoubleInvertedPendulumBase(),
+ fr_DoubleInvertedPendulumBase_X_fr_Joint1(),
+ fr_DoubleInvertedPendulumBase_X_fr_Joint2(),
+ fr_Link2_X_fr_Link1(),
+ fr_Link1_X_fr_Link2()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::HomogeneousTransforms
+ ()
+ :
+ fr_DoubleInvertedPendulumBase_X_fr_Link1(),
+ fr_DoubleInvertedPendulumBase_X_fr_Link2(),
+ fr_DoubleInvertedPendulumBase_X_fr_ee(),
+ fr_Link2_X_fr_DoubleInvertedPendulumBase(),
+ fr_Link1_X_fr_DoubleInvertedPendulumBase(),
+ fr_ee_X_fr_DoubleInvertedPendulumBase(),
+ fr_DoubleInvertedPendulumBase_X_fr_Joint1(),
+ fr_DoubleInvertedPendulumBase_X_fr_Joint2(),
+ fr_Link2_X_fr_Link1(),
+ fr_Link1_X_fr_Link2()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(1,0) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(2,0) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(2,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,0) = s_q_Joint2_;
+ (*this)(3,1) = c_q_Joint2_;
+ (*this)(4,2) = c_q_Joint1_;
+ (*this)(4,3) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,2) = s_q_Joint1_;
+ (*this)(5,3) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(5,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee::Type_fr_DoubleInvertedPendulumBase_X_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(1,0) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(2,0) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(2,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,0) = s_q_Joint2_;
+ (*this)(3,1) = ( c_q_Joint2_ + 1.0);
+ (*this)(4,2) = (((- s_q_Joint1_ * s_q_Joint2_) + ( c_q_Joint1_ * c_q_Joint2_)) + c_q_Joint1_);
+ (*this)(4,3) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,2) = ((( c_q_Joint1_ * s_q_Joint2_) + ( s_q_Joint1_ * c_q_Joint2_)) + s_q_Joint1_);
+ (*this)(5,3) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(5,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(0,2) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,2) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,0) = s_q_Joint2_;
+ (*this)(3,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,5) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(4,0) = c_q_Joint2_;
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,5) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,1) = c_q_Joint1_;
+ (*this)(5,2) = s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ (*this)(3,4) = - s_q_Joint1_;
+ (*this)(3,5) = c_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(4,5) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase::Type_fr_ee_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(0,2) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,2) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,0) = s_q_Joint2_;
+ (*this)(3,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,5) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(4,0) = ( c_q_Joint2_ + 1.0);
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,5) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,1) = (((- s_q_Joint1_ * s_q_Joint2_) + ( c_q_Joint1_ * c_q_Joint2_)) + c_q_Joint1_);
+ (*this)(5,2) = ((( c_q_Joint1_ * s_q_Joint2_) + ( s_q_Joint1_ * c_q_Joint2_)) + s_q_Joint1_);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 1.0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(4,2) = c_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,2) = s_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1::Type_fr_Link2_X_fr_Link1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 1.0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,0) = c_q_Joint2_;
+ (*this)(0,1) = s_q_Joint2_;
+ (*this)(1,0) = - s_q_Joint2_;
+ (*this)(1,1) = c_q_Joint2_;
+ (*this)(3,2) = s_q_Joint2_;
+ (*this)(3,3) = c_q_Joint2_;
+ (*this)(3,4) = s_q_Joint2_;
+ (*this)(4,2) = c_q_Joint2_;
+ (*this)(4,3) = - s_q_Joint2_;
+ (*this)(4,4) = c_q_Joint2_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2::Type_fr_Link1_X_fr_Link2()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,0) = c_q_Joint2_;
+ (*this)(0,1) = - s_q_Joint2_;
+ (*this)(1,0) = s_q_Joint2_;
+ (*this)(1,1) = c_q_Joint2_;
+ (*this)(3,3) = c_q_Joint2_;
+ (*this)(3,4) = - s_q_Joint2_;
+ (*this)(4,3) = s_q_Joint2_;
+ (*this)(4,4) = c_q_Joint2_;
+ (*this)(5,0) = s_q_Joint2_;
+ (*this)(5,1) = c_q_Joint2_;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint2_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,3) = s_q_Joint2_;
+ (*this)(0,4) = c_q_Joint2_;
+ (*this)(1,0) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,5) = c_q_Joint1_;
+ (*this)(2,0) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(2,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(2,5) = s_q_Joint1_;
+ (*this)(4,3) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,3) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(5,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee::Type_fr_DoubleInvertedPendulumBase_X_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint2_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,3) = s_q_Joint2_;
+ (*this)(0,4) = ( c_q_Joint2_ + 1.0);
+ (*this)(1,0) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,5) = (((- s_q_Joint1_ * s_q_Joint2_) + ( c_q_Joint1_ * c_q_Joint2_)) + c_q_Joint1_);
+ (*this)(2,0) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(2,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(2,5) = ((( c_q_Joint1_ * s_q_Joint2_) + ( s_q_Joint1_ * c_q_Joint2_)) + s_q_Joint1_);
+ (*this)(4,3) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(5,3) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(5,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(0,2) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(0,3) = s_q_Joint2_;
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,2) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,3) = c_q_Joint2_;
+ (*this)(2,4) = c_q_Joint1_;
+ (*this)(2,5) = s_q_Joint1_;
+ (*this)(3,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,5) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,5) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ (*this)(3,4) = - s_q_Joint1_;
+ (*this)(3,5) = c_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(4,5) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase::Type_fr_ee_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(0,2) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(0,3) = s_q_Joint2_;
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,2) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,3) = ( c_q_Joint2_ + 1.0);
+ (*this)(2,4) = (((- s_q_Joint1_ * s_q_Joint2_) + ( c_q_Joint1_ * c_q_Joint2_)) + c_q_Joint1_);
+ (*this)(2,5) = ((( c_q_Joint1_ * s_q_Joint2_) + ( s_q_Joint1_ * c_q_Joint2_)) + s_q_Joint1_);
+ (*this)(3,4) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(3,5) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(4,4) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(4,5) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,5) = c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(2,5) = s_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1::Type_fr_Link2_X_fr_Link1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 1.0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,0) = c_q_Joint2_;
+ (*this)(0,1) = s_q_Joint2_;
+ (*this)(0,5) = s_q_Joint2_;
+ (*this)(1,0) = - s_q_Joint2_;
+ (*this)(1,1) = c_q_Joint2_;
+ (*this)(1,5) = c_q_Joint2_;
+ (*this)(3,3) = c_q_Joint2_;
+ (*this)(3,4) = s_q_Joint2_;
+ (*this)(4,3) = - s_q_Joint2_;
+ (*this)(4,4) = c_q_Joint2_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2::Type_fr_Link1_X_fr_Link2()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 1.0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,0) = c_q_Joint2_;
+ (*this)(0,1) = - s_q_Joint2_;
+ (*this)(1,0) = s_q_Joint2_;
+ (*this)(1,1) = c_q_Joint2_;
+ (*this)(2,3) = s_q_Joint2_;
+ (*this)(2,4) = c_q_Joint2_;
+ (*this)(3,3) = c_q_Joint2_;
+ (*this)(3,4) = - s_q_Joint2_;
+ (*this)(4,3) = s_q_Joint2_;
+ (*this)(4,4) = c_q_Joint2_;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Link2::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(1,0) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,3) = - s_q_Joint1_;
+ (*this)(2,0) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(2,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(2,3) = c_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee::Type_fr_DoubleInvertedPendulumBase_X_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_ee::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(1,0) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,3) = (((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_)) - s_q_Joint1_);
+ (*this)(2,0) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(2,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(2,3) = (((- s_q_Joint1_ * s_q_Joint2_) + ( c_q_Joint1_ * c_q_Joint2_)) + c_q_Joint1_);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link2_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(0,2) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(0,3) = - c_q_Joint2_;
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,2) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,3) = s_q_Joint2_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase::Type_fr_ee_X_fr_DoubleInvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_DoubleInvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,1) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(0,2) = (( c_q_Joint1_ * c_q_Joint2_) - ( s_q_Joint1_ * s_q_Joint2_));
+ (*this)(0,3) = (- c_q_Joint2_ - 1.0);
+ (*this)(1,1) = (( s_q_Joint1_ * s_q_Joint2_) - ( c_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,2) = ((- c_q_Joint1_ * s_q_Joint2_) - ( s_q_Joint1_ * c_q_Joint2_));
+ (*this)(1,3) = s_q_Joint2_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint1::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_DoubleInvertedPendulumBase_X_fr_Joint2::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,3) = - s_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(2,3) = c_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1::Type_fr_Link2_X_fr_Link1()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link2_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,0) = c_q_Joint2_;
+ (*this)(0,1) = s_q_Joint2_;
+ (*this)(0,3) = - c_q_Joint2_;
+ (*this)(1,0) = - s_q_Joint2_;
+ (*this)(1,1) = c_q_Joint2_;
+ (*this)(1,3) = s_q_Joint2_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2::Type_fr_Link1_X_fr_Link2()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2& iit::ct_DoubleInvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_Link2::update(const JState& q) {
+ Scalar s_q_Joint2_;
+ Scalar c_q_Joint2_;
+
+ s_q_Joint2_ = TRAIT::sin( q(JOINT2));
+ c_q_Joint2_ = TRAIT::cos( q(JOINT2));
+
+ (*this)(0,0) = c_q_Joint2_;
+ (*this)(0,1) = - s_q_Joint2_;
+ (*this)(1,0) = s_q_Joint2_;
+ (*this)(1,1) = c_q_Joint2_;
+ return *this;
+}
+
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/model/ct_DoubleInvertedPendulum.dtdsl b/ct_models/include/ct/models/DoubleInvertedPendulum/model/ct_DoubleInvertedPendulum.dtdsl
new file mode 100644
index 0000000..7f82207
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/model/ct_DoubleInvertedPendulum.dtdsl
@@ -0,0 +1,22 @@
+Robot ct_DoubleInvertedPendulum
+
+Frames {
+ fr_DoubleInvertedPendulumBase, fr_Link1, fr_Joint1, fr_Link2, fr_Joint2, fr_ee
+}
+
+Transforms {
+
+ base=fr_DoubleInvertedPendulumBase, target=fr_Link1
+ base=fr_DoubleInvertedPendulumBase, target=fr_Link2
+ base=fr_DoubleInvertedPendulumBase, target=fr_ee
+
+ base=fr_Link2, target=fr_DoubleInvertedPendulumBase
+ base=fr_Link1, target=fr_DoubleInvertedPendulumBase
+ base=fr_ee, target=fr_DoubleInvertedPendulumBase
+}
+
+Jacobians {
+ base=fr_DoubleInvertedPendulumBase, target=fr_Link2
+ base=fr_DoubleInvertedPendulumBase, target=fr_Link1
+ base=fr_DoubleInvertedPendulumBase, target=fr_ee
+}
diff --git a/ct_models/include/ct/models/DoubleInvertedPendulum/model/ct_DoubleInvertedPendulum.kindsl b/ct_models/include/ct/models/DoubleInvertedPendulum/model/ct_DoubleInvertedPendulum.kindsl
new file mode 100644
index 0000000..3aa80ef
--- /dev/null
+++ b/ct_models/include/ct/models/DoubleInvertedPendulum/model/ct_DoubleInvertedPendulum.kindsl
@@ -0,0 +1,69 @@
+Robot ct_DoubleInvertedPendulum {
+
+
+RobotBase DoubleInvertedPendulumBase {
+ inertia_params {
+ mass = 1.0
+ CoM = (0.0, 0.0, 0.0)
+ Iy=0.0 Ix=0.0 Ixy=0.0 Iz=0.0 Ixz=0.0 Iyz=0.0
+ }
+ children {
+ Link1 via Joint1
+ }
+}
+
+link Link1 {
+ id = 1
+ inertia_params {
+ mass = 1.0
+ CoM = (0.0, 0.0, 0.0)
+ Ix=0.0005 Iy=0.0005 Iz=0.001 Ixy=0.0 Ixz=0.0 Iyz=0.0
+ ref_frame = fr_COM_Link1
+ }
+ children {
+ Link2 via Joint2
+ }
+ frames {
+ fr_COM_Link1 {
+ translation = (0.5, 0.0, 0.0)
+ rotation = (PI/2.0, 0.0, 0.0)
+ }
+ }
+}
+
+link Link2 {
+ id = 2
+ inertia_params {
+ mass = 1.0
+ CoM = (0.0, 0.0, 0.0)
+ Ix=0.0005 Iy=0.0005 Iz=0.001 Ixy=0.0 Ixz=0.0 Iyz=0.0
+ ref_frame = fr_COM_Link2
+ }
+ children {}
+ frames {
+ fr_ee{
+ translation = (1.0, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_COM_Link2 {
+ translation = (0.5, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+r_joint Joint1 {
+ ref_frame {
+ translation = (0.0, 0.0, 0.0)
+ rotation = (0.0, PI/2.0, PI)
+ }
+}
+
+r_joint Joint2 {
+ ref_frame {
+ translation = (1.0, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+}
+
+}
diff --git a/ct_models/include/ct/models/HyA/HyA.h b/ct_models/include/ct/models/HyA/HyA.h
new file mode 100644
index 0000000..6f02b35
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/HyA.h
@@ -0,0 +1,47 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <Eigen/Core>
+#include <Eigen/StdVector>
+
+#include "generated/declarations.h"
+#include "generated/jsim.h"
+#include "generated/jacobians.h"
+#include "generated/traits.h"
+#include "generated/forward_dynamics.h"
+#include "generated/inertia_properties.h"
+#include "generated/inverse_dynamics.h"
+#include "generated/transforms.h"
+#include "generated/link_data_map.h"
+
+// define namespace and base
+#define ROBCOGEN_NS ct_HyA
+#define TARGET_NS HyA
+
+// define the links
+#define CT_BASE fr_HyABase
+#define CT_L0 fr_Shoulder_AA
+#define CT_L1 fr_Shoulder_FE
+#define CT_L2 fr_Humerus_R
+#define CT_L3 fr_Elbow_FE
+#define CT_L4 fr_Wrist_R
+#define CT_L5 fr_Wrist_FE
+
+// define single end effector (could also be multiple)
+#define CT_N_EE 1
+#define CT_EE0 fr_ee
+#define CT_EE0_IS_ON_LINK 5
+#define CT_EE0_FIRST_JOINT 0
+#define CT_EE0_LAST_JOINT 5
+
+#include <ct/rbd/robot/robcogen/robcogenHelpers.h>
+#include <ct/models/HyA/codegen/HyALinearizedForward.h>
+#include <ct/models/HyA/codegen/HyAInverseDynJacReverse.h>
+
+#include "HyAUrdfNames.h"
+#include "HyAJointLimits.h"
diff --git a/ct_models/include/ct/models/HyA/HyAInverseKinematics.h b/ct_models/include/ct/models/HyA/HyAInverseKinematics.h
new file mode 100644
index 0000000..48c75f0
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/HyAInverseKinematics.h
@@ -0,0 +1,62 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#define IKFAST_HAS_LIBRARY
+#define IKFAST_NAMESPACE hya_ik
+#include <ikfast.h>
+#include <ct/core/core.h>
+
+#include <ct/rbd/robot/kinematics/InverseKinematicsBase.h>
+
+using namespace ikfast;
+
+namespace ct {
+namespace rbd {
+
+template <typename SCALAR = double>
+class HyAInverseKinematics : InverseKinematicsBase<6, SCALAR>
+{
+public:
+ virtual std::vector<typename tpl::JointState<6, SCALAR>::Position> computeInverseKinematics(
+ const tpl::RigidBodyPose<SCALAR>& eeBasePose,
+ const std::vector<SCALAR>& freeJoints = std::vector<SCALAR>()) const
+ {
+ // TODO: Check for valid solutions.
+ IkSolutionList<double> solutions;
+
+ if (size_t(hya_ik::GetNumFreeParameters()) != freeJoints.size())
+ throw std::runtime_error("Error");
+
+ // Data needs to be in row-major form.
+ Eigen::Matrix<SCALAR, 3, 3, Eigen::RowMajor> eeBaseRotationRowMajor =
+ eeBasePose.getRotationMatrix().toImplementation();
+ hya_ik::ComputeIk(eeBasePose.position().toImplementation().data(), eeBaseRotationRowMajor.data(),
+ freeJoints.size() > 0 ? freeJoints.data() : nullptr, solutions);
+
+ size_t num_solutions = solutions.GetNumSolutions();
+ std::vector<typename tpl::JointState<6, SCALAR>::Position> res(solutions.GetNumSolutions());
+
+ for (size_t i = 0u; i < num_solutions; ++i)
+ {
+ const IkSolutionBase<double>& solution = solutions.GetSolution(i);
+ solution.GetSolution(res[i].data(), freeJoints.size() > 0 ? freeJoints.data() : nullptr);
+ }
+
+ return res;
+ }
+
+ virtual std::vector<typename tpl::JointState<6, SCALAR>::Position> computeInverseKinematics(
+ const tpl::RigidBodyPose<SCALAR>& eeWorldPose,
+ const tpl::RigidBodyPose<SCALAR>& baseWorldPose,
+ const std::vector<SCALAR>& freeJoints = std::vector<SCALAR>()) const
+ {
+ return computeInverseKinematics(eeWorldPose.inReferenceFrame(baseWorldPose), freeJoints);
+ }
+};
+} /* namespace rbd */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyA/HyAJointLimits.h b/ct_models/include/ct/models/HyA/HyAJointLimits.h
new file mode 100644
index 0000000..723d91c
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/HyAJointLimits.h
@@ -0,0 +1,41 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+template <typename SCALAR = double>
+const typename ct::rbd::tpl::JointState<6, SCALAR>::Position& jointLowerLimit()
+{
+ static typename ct::rbd::tpl::JointState<6, SCALAR>::Position jointLowerLimit;
+ jointLowerLimit << -3.1416, -0.7679, -1.6406, 0, -2.0944, -0.5236;
+
+ return jointLowerLimit;
+}
+
+template <typename SCALAR = double>
+const typename ct::rbd::tpl::JointState<6, SCALAR>::Position& jointUpperLimit()
+{
+ static typename ct::rbd::tpl::JointState<6, SCALAR>::Position jointUpperLimit;
+ jointUpperLimit << 0.5236, 0.8552, 0.0698, 2.2689, 1.5708, 1.5708;
+
+ return jointUpperLimit;
+}
+
+template <typename SCALAR = double>
+const typename ct::rbd::tpl::JointState<6, SCALAR>::Velocity& jointVelocityLimit()
+{
+ static typename ct::rbd::tpl::JointState<6, SCALAR>::Velocity jointVelocityLimit;
+ jointVelocityLimit << 12.0, 12.0, 12.0, 12.0, 12.0, 12.0;
+
+ return jointVelocityLimit;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyA/HyAUrdfNames.h b/ct_models/include/ct/models/HyA/HyAUrdfNames.h
new file mode 100644
index 0000000..2456cac
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/HyAUrdfNames.h
@@ -0,0 +1,23 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+const std::vector<std::string>& urdfJointNames()
+{
+ static std::vector<std::string> urdfJointNames{
+ "hya_saa_joint", "hya_sfe_joint", "hya_hr_joint", "hya_efe_joint", "hya_wr_joint", "hya_wfe_joint",
+ };
+
+ return urdfJointNames;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyA/codegen/HyAInverseDynHessian.cpp b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynHessian.cpp
new file mode 100644
index 0000000..febbf3a
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynHessian.cpp
@@ -0,0 +1,3057 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyAInverseDynHessian.h"
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+
+HyAInverseDynHessian::HES_TYPE HyAInverseDynHessian::hessian(const Eigen::VectorXd& x_in, const Eigen::VectorXd& w_in)
+{
+ double* hes = hessian_.data();
+
+ v_[0] = sin(x_in[1]);
+ v_[1] = v_[0] * w_in[0];
+ v_[2] = 0 - v_[1];
+ v_[3] = v_[2] * w_in[1];
+ v_[4] = cos(x_in[1]);
+ v_[5] = v_[4] * w_in[0];
+ v_[6] = v_[5] * w_in[1];
+ v_[7] = 9.81 * v_[0];
+ v_[8] = w_in[1] * w_in[1];
+ v_[9] = cos(x_in[2]);
+ v_[10] = sin(x_in[2]);
+ v_[11] = 0 - v_[9];
+ v_[12] = v_[10] * v_[5] + v_[11] * w_in[1];
+ v_[13] = 0 - v_[12];
+ v_[14] = v_[9] * v_[3] + v_[13] * w_in[2];
+ v_[15] = v_[9] * v_[5] + v_[10] * w_in[1];
+ v_[16] = v_[10] * v_[3] + v_[15] * w_in[2];
+ v_[17] = 9.81 * v_[4];
+ v_[18] = 0.112 * v_[9];
+ v_[19] = -0.112 * v_[10];
+ v_[20] = 0.112 * v_[9];
+ v_[21] = v_[19] * v_[5] + v_[20] * w_in[1];
+ v_[22] = v_[10] * v_[17] + v_[18] * v_[3] + v_[21] * w_in[2];
+ v_[23] = v_[1] + w_in[2];
+ v_[24] = 0 - v_[23] * v_[21];
+ v_[25] = v_[15] * v_[23];
+ v_[26] = v_[23] * v_[23];
+ v_[27] = v_[12] * v_[12];
+ v_[28] = cos(x_in[3]);
+ v_[29] = -1 * v_[16];
+ v_[30] = sin(x_in[3]);
+ v_[31] = 0 - v_[30];
+ v_[32] = v_[30] * v_[15] + v_[28] * v_[23];
+ v_[33] = 0 - v_[32];
+ v_[34] = v_[31] * v_[6] + v_[28] * v_[14] + v_[33] * w_in[3];
+ v_[35] = v_[28] * v_[15] + v_[31] * v_[23];
+ v_[36] = v_[28] * v_[6] + v_[30] * v_[14] + v_[35] * w_in[3];
+ v_[37] = -0.304 * v_[14] + -1 * v_[22];
+ v_[38] = 0.112 * v_[10];
+ v_[39] = v_[18] * v_[5] + v_[38] * w_in[1];
+ v_[40] = 0 - v_[39];
+ v_[41] = v_[9] * v_[17] + v_[19] * v_[3] + v_[40] * w_in[2];
+ v_[42] = -0.304 * v_[30];
+ v_[43] = -0.304 * v_[28];
+ v_[44] = v_[43] * v_[12] + v_[28] * v_[21];
+ v_[45] = v_[28] * v_[7] + v_[30] * v_[41] + v_[42] * v_[16] + v_[44] * w_in[3];
+ v_[46] = -0.304 * v_[15] + -1 * v_[39];
+ v_[47] = -1 * v_[12] + w_in[3];
+ v_[48] = v_[35] * v_[46] - v_[47] * v_[44];
+ v_[49] = v_[35] * v_[47];
+ v_[50] = v_[47] * v_[47];
+ v_[51] = v_[32] * v_[32];
+ v_[52] = cos(x_in[4]);
+ v_[53] = sin(x_in[4]);
+ v_[54] = 0 - v_[52];
+ v_[55] = v_[53] * v_[35] + v_[54] * v_[47];
+ v_[56] = 0 - v_[55];
+ v_[57] = v_[53] * v_[29] + v_[52] * v_[34] + v_[56] * w_in[4];
+ v_[58] = v_[52] * v_[35] + v_[53] * v_[47];
+ v_[59] = v_[54] * v_[29] + v_[53] * v_[34] + v_[58] * w_in[4];
+ v_[60] = 0.112 * v_[53];
+ v_[61] = 0.112 * v_[52];
+ v_[62] = 0 - v_[52];
+ v_[63] = 0 - v_[30];
+ v_[64] = v_[42] * v_[12] + v_[30] * v_[21];
+ v_[65] = 0 - v_[64];
+ v_[66] = v_[63] * v_[7] + v_[28] * v_[41] + v_[43] * v_[16] + v_[65] * w_in[3];
+ v_[67] = 0.112 * v_[52];
+ v_[68] = -0.112 * v_[53];
+ v_[69] = v_[67] * v_[47] + v_[68] * v_[35] + v_[53] * v_[46] + v_[52] * v_[44];
+ v_[70] = v_[60] * v_[29] + v_[61] * v_[34] + v_[62] * v_[37] + v_[53] * v_[66] + v_[69] * w_in[4];
+ v_[71] = v_[32] + w_in[4];
+ v_[72] = v_[58] * v_[64] - v_[71] * v_[69];
+ v_[73] = v_[58] * v_[71];
+ v_[74] = v_[71] * v_[71];
+ v_[75] = v_[55] * v_[55];
+ v_[76] = sin(x_in[5]);
+ v_[77] = cos(x_in[5]);
+ v_[78] = 0.02075 * v_[76] + 0.184 * v_[77];
+ v_[79] = 0 - v_[76];
+ v_[80] = v_[60] * v_[47] + v_[61] * v_[35] + v_[62] * v_[46] + v_[53] * v_[44];
+ v_[81] = 0.184 * v_[76] - 0.02075 * v_[77];
+ v_[82] = v_[77] * v_[64] + v_[76] * v_[80] + v_[81] * v_[58];
+ v_[83] = 0 - v_[82];
+ v_[84] = v_[79] * v_[45] + v_[77] * v_[70] + v_[78] * v_[57] + v_[83] * w_in[5];
+ v_[85] = v_[76] * v_[55] + v_[77] * v_[71];
+ v_[86] = 0 - v_[76];
+ v_[87] = v_[77] * v_[55] + v_[86] * v_[71];
+ v_[88] = v_[85] * v_[87];
+ v_[89] = 0.02075 * v_[71] + -0.184 * v_[55] + v_[69];
+ v_[90] = v_[85] * v_[89];
+ v_[91] = v_[58] + w_in[5];
+ v_[92] = v_[91] * v_[82];
+ v_[93] = 1.547475 * v_[84] + 0.038686875 * v_[57] + 0.038686875 * v_[88] + -1.547475 * (v_[90] - v_[92]);
+ v_[94] = v_[79] * v_[64] + v_[77] * v_[80] + v_[78] * v_[58];
+ v_[95] = v_[91] * v_[91];
+ v_[96] = v_[87] * v_[87];
+ v_[97] = 1.547475 * (v_[87] * v_[89] - v_[91] * v_[94]) +
+ 1.547475 * (v_[77] * v_[45] + v_[76] * v_[70] + v_[81] * v_[57] + v_[94] * w_in[5]) -
+ 0.038686875 * (v_[95] + v_[96]);
+ v_[98] = 0 - v_[85];
+ v_[99] = v_[86] * v_[36] + v_[77] * v_[59] + v_[98] * w_in[5];
+ v_[100] = v_[77] * v_[36] + v_[76] * v_[59] + v_[87] * w_in[5];
+ v_[101] = v_[85] * v_[91];
+ v_[102] = v_[87] * v_[91];
+ v_[103] = v_[85] * v_[85];
+ v_[104] = v_[55] * v_[71];
+ v_[105] = v_[55] * v_[58];
+ v_[92] = -0.001243 * v_[36] + 0.029115 * v_[57] + -0.001387 * v_[59] + 0.057838 * v_[70] + 0.057838 * v_[72] +
+ -0.001387 * v_[73] + -0.012652 * (v_[74] - v_[75]) + v_[78] * v_[93] + v_[81] * v_[97] +
+ 0.009277 * v_[57] + -0.000829 * v_[99] + 1.5e-05 * v_[100] + 0.038686875 * v_[84] + -0.00751 * v_[88] +
+ 0.038686875 * (v_[92] - v_[90]) + -0.000829 * v_[101] - 1.5e-05 * v_[102] - 0.000198 * (v_[96] - v_[103]) -
+ -0.008386 * v_[104] - -0.001243 * v_[105];
+ v_[90] = 0 - v_[80];
+ v_[84] = v_[67] * v_[29] + v_[68] * v_[34] + v_[53] * v_[37] + v_[52] * v_[66] + v_[90] * w_in[4];
+ v_[106] = v_[55] * v_[64] - v_[71] * v_[80];
+ v_[107] = 0.02075 * v_[36] + -0.184 * v_[59] + v_[84];
+ v_[108] = v_[85] * v_[94] - v_[87] * v_[82];
+ v_[103] = -0.000829 * v_[57] + 0.003227 * v_[99] + 0.000198 * v_[100] + -0.038686875 * v_[107] +
+ 0.000198 * v_[102] + 1.5e-05 * (v_[95] - v_[103]) - 0.038686875 * v_[108] - -0.00146 * v_[101] -
+ -0.000829 * v_[88];
+ v_[102] = 1.5e-05 * v_[57] + 0.000198 * v_[99] + 0.010737 * v_[100] + 0.00605 * v_[102] + 1.5e-05 * v_[88] -
+ 0.000198 * v_[101] - -0.000829 * (v_[95] - v_[96]);
+ v_[108] = 1.547475 * v_[107] + -0.038686875 * v_[99] + 0.038686875 * v_[101] + 1.547475 * v_[108];
+ v_[107] = v_[58] * v_[58];
+ v_[74] = -0.012652 * v_[36] + -0.001387 * v_[57] + 0.019432 * v_[59] + -0.057838 * v_[84] + -0.018069 * v_[73] +
+ 0.057838 * v_[106] + -0.012652 * v_[105] + v_[77] * v_[103] + v_[76] * v_[102] + -0.184 * v_[108] -
+ -0.001387 * v_[104] - -0.001243 * (v_[74] - v_[107]);
+ v_[106] = 2.1032 * v_[84] + -0.057838 * v_[59] + 0.057838 * v_[73] + -2.1032 * v_[106] + v_[108];
+ v_[72] =
+ 2.1032 * v_[70] + 0.057838 * v_[57] + 0.057838 * v_[104] + 2.1032 * v_[72] + v_[77] * v_[93] + v_[76] * v_[97];
+ v_[84] = v_[32] * v_[44] - v_[35] * v_[64];
+ v_[101] = v_[32] * v_[47];
+ v_[99] = v_[32] * v_[35];
+ v_[100] = -0.0022920002 * v_[29] + 0.01828449 * v_[34] + 0.0036857284 * v_[36] + -0.160298259823722 * v_[37] +
+ 1.52322944854339e-09 * v_[45] + 1.52322944854339e-09 * v_[48] + 0.0036857284 * v_[49] +
+ -0.00021200017 * (v_[50] - v_[51]) + v_[52] * v_[92] + v_[53] * v_[74] + v_[68] * v_[106] +
+ v_[61] * v_[72] - 0.160298259823722 * v_[84] - 0.01404749 * v_[101] - -0.0022920002 * v_[99];
+ v_[96] = v_[32] * v_[46];
+ v_[95] = v_[47] * v_[64];
+ v_[88] = v_[35] * v_[35];
+ v_[108] = -0.00021200017 * v_[29] + 0.0036857284 * v_[34] + 0.081661 * v_[36] + -0.008711861 * v_[37] +
+ -1.52322944854339e-09 * v_[66] + -0.008711861 * v_[84] + 1.52322944854339e-09 * (v_[96] - v_[95]) +
+ 0.077424 * v_[49] + -0.00021200017 * v_[99] + 0.011046 * v_[36] + -0.001243 * v_[57] +
+ -0.012652 * v_[59] + -0.001243 * v_[104] + 0.009683 * v_[105] + v_[86] * v_[103] + v_[77] * v_[102] +
+ 0.02075 * v_[108] - -0.012652 * v_[73] - -0.001387 * (v_[107] - v_[75]) - 0.0036857284 * v_[101] -
+ -0.0022920002 * (v_[50] - v_[88]);
+ v_[84] = -0.160298259823722 * v_[34] + -0.008711861 * v_[36] + 1.7423722 * v_[37] + 1.7423722 * v_[84] +
+ 0.160298259823722 * v_[101] + -0.008711861 * v_[49] + v_[53] * v_[106] + v_[62] * v_[72] -
+ 1.52322944854339e-09 * (v_[88] + v_[51]);
+ v_[105] = v_[12] * v_[21] - v_[15] * v_[39];
+ v_[104] = v_[12] * v_[23];
+ v_[73] = v_[12] * v_[15];
+ v_[109] = -0.0037997814 * v_[6] + 0.20986895 * v_[14] + 5.399998e-05 * v_[16] + 0.0055615274403 * v_[7] +
+ 0.647967112 * v_[22] + 0.647967112 * v_[24] + 5.399998e-05 * v_[25] + -0.011715295 * (v_[26] - v_[27]) +
+ v_[28] * v_[100] + v_[30] * v_[108] + -0.304 * v_[84] - -0.0055615274403 * v_[105] -
+ -0.192033951 * v_[104] - -0.0037997814 * v_[73];
+ v_[110] = v_[23] * v_[39];
+ v_[111] = 0 - v_[110];
+ v_[112] = 0.160298259823722 * v_[29] + -1.52322944854339e-09 * v_[36] + 1.7423722 * v_[66] +
+ -1.7423722 * (v_[96] - v_[95]) + 0.160298259823722 * v_[99] + 1.52322944854339e-09 * v_[49] +
+ v_[52] * v_[106] + v_[53] * v_[72] - -0.008711861 * (v_[50] + v_[51]);
+ v_[107] = 0.008711861 * v_[29] + 1.52322944854339e-09 * v_[34] + 1.7423722 * v_[45] + 1.7423722 * v_[48] +
+ 1.52322944854339e-09 * v_[101] + -0.008711861 * v_[99] + 2.1032 * (v_[55] * v_[69] - v_[58] * v_[80]) +
+ 2.1032 * v_[45] + v_[79] * v_[93] + v_[77] * v_[97] - 0.160298259823722 * (v_[50] + v_[88]) -
+ 0.057838 * (v_[107] + v_[75]);
+ v_[75] = v_[15] * v_[15];
+ v_[105] =
+ -0.011715295 * v_[6] + 5.399998e-05 * v_[14] + 0.20236395 * v_[16] + 0.01438086 * v_[7] +
+ -0.647967112 * v_[41] + 0.01438086 * v_[105] + 0.647967112 * v_[111] + -0.199538951 * v_[25] +
+ -0.011715295 * v_[73] + v_[43] * v_[112] + v_[42] * v_[107] +
+ -1 * (0.09570849 * v_[29] + -0.0022920002 * v_[34] + -0.00021200017 * v_[36] + 0.160298259823722 * v_[66] +
+ 0.008711861 * v_[45] + 0.160298259823722 * (v_[95] - v_[96]) + -0.06337651 * v_[99] +
+ -0.0022920002 * v_[101] + v_[53] * v_[92] + v_[54] * v_[74] + v_[67] * v_[106] + v_[60] * v_[72] -
+ -0.008711861 * v_[48] - -0.00021200017 * v_[49] - 0.0036857284 * (v_[88] - v_[51])) -
+ 5.399998e-05 * v_[104] - -0.0037997814 * (v_[26] - v_[75]);
+ v_[111] = -0.0055615274403 * v_[6] + -0.647967112 * v_[16] + 2.327 * v_[41] + -2.327 * v_[111] +
+ -0.0055615274403 * v_[73] + 0.647967112 * v_[25] + v_[28] * v_[112] + v_[30] * v_[107] -
+ 0.01438086 * (v_[26] + v_[27]);
+ v_[84] = -0.01438086 * v_[6] + 0.647967112 * v_[14] + 2.327 * v_[22] + 2.327 * v_[24] + 0.647967112 * v_[104] +
+ 0.01438086 * v_[73] + -1 * v_[84] - -0.0055615274403 * (v_[26] + v_[75]);
+ v_[26] = v_[1] * w_in[1];
+ v_[88] = v_[1] * v_[5];
+ v_[95] = w_in[6] * v_[4];
+ v_[96] = w_in[7] * v_[38] + v_[95] * v_[18];
+ v_[99] = w_in[7] * v_[10] + v_[95] * v_[9];
+ v_[101] = v_[96] * -1 + v_[99] * -0.304;
+ v_[51] = w_in[7] * v_[20] + v_[95] * v_[19];
+ v_[49] = w_in[7] * v_[11] + v_[95] * v_[10];
+ v_[48] = v_[51] * v_[28] + v_[49] * v_[43];
+ v_[50] = w_in[9] + v_[49] * -1;
+ v_[113] = w_in[6] * v_[0];
+ v_[114] = w_in[8] + v_[113];
+ v_[115] = v_[114] * v_[31] + v_[99] * v_[28];
+ v_[116] = v_[101] * v_[53] + v_[48] * v_[52] + v_[50] * v_[67] + v_[115] * v_[68];
+ v_[117] = v_[114] * v_[28] + v_[99] * v_[30];
+ v_[118] = w_in[10] + v_[117];
+ v_[119] = v_[50] * v_[54] + v_[115] * v_[53];
+ v_[120] = v_[116] + v_[118] * 0.02075 + v_[119] * -0.184;
+ v_[121] = v_[118] * v_[86] + v_[119] * v_[77];
+ v_[122] = v_[120] * 1.547475 + v_[121] * -0.038686875;
+ v_[123] = v_[122] + v_[116] * 2.1032 + v_[119] * -0.057838;
+ v_[124] = v_[51] * v_[30] + v_[49] * v_[42];
+ v_[125] = v_[101] * v_[62] + v_[48] * v_[53] + v_[50] * v_[60] + v_[115] * v_[61];
+ v_[126] = v_[50] * v_[53] + v_[115] * v_[52];
+ v_[127] = v_[124] * v_[79] + v_[125] * v_[77] + v_[126] * v_[78];
+ v_[128] = w_in[11] + v_[126];
+ v_[129] = v_[127] * 1.547475 + v_[128] * 0.038686875;
+ v_[130] = v_[124] * v_[77] + v_[125] * v_[76] + v_[126] * v_[81];
+ v_[131] = v_[130] * 1.547475;
+ v_[132] = v_[129] * v_[77] + v_[131] * v_[76] + v_[125] * 2.1032 + v_[126] * 0.057838;
+ v_[133] = v_[123] * v_[52] + v_[132] * v_[53] + v_[48] * 1.7423722 + v_[50] * 0.160298259823722 +
+ v_[117] * -1.52322944854339e-09;
+ v_[134] = v_[129] * v_[79] + v_[131] * v_[77] + v_[124] * 2.1032 + v_[124] * 1.7423722 + v_[50] * 0.008711861 +
+ v_[115] * 1.52322944854339e-09;
+ v_[135] = v_[133] * v_[28] + v_[134] * v_[30] + v_[51] * 2.327 + v_[114] * -0.0055615274403 + v_[49] * -0.647967112;
+ v_[136] = v_[123] * v_[53] + v_[132] * v_[62] + v_[101] * 1.7423722 + v_[115] * -0.160298259823722 +
+ v_[117] * -0.008711861;
+ v_[137] = v_[136] * -1 + v_[96] * 2.327 + v_[114] * -0.01438086 + v_[99] * 0.647967112;
+ v_[138] = v_[130] * 1.547475;
+ v_[139] = v_[127] * -1.547475;
+ v_[140] = v_[128] * 0.038686875;
+ v_[141] = v_[139] - v_[140];
+ v_[142] = v_[138] * v_[87] + v_[141] * v_[85];
+ v_[143] = v_[125] * 2.1032 + v_[126] * 0.057838;
+ v_[144] = 0 - v_[143];
+ v_[145] = v_[124] * 2.1032;
+ v_[146] = v_[142] + v_[144] * v_[71] + v_[145] * v_[55] + v_[132] * w_in[4];
+ v_[147] = 0 - v_[138];
+ v_[148] = v_[120] * 1.547475 + (0 - v_[121]) * 0.038686875;
+ v_[149] = v_[147] * v_[91] + v_[148] * v_[85] + v_[131] * w_in[5];
+ v_[140] = 0 - v_[139] + v_[140];
+ v_[139] = 0 - v_[148];
+ v_[150] = v_[140] * v_[91] + v_[139] * v_[87] - v_[129] * w_in[5];
+ v_[151] = v_[116] * -2.1032 + v_[119] * 0.057838;
+ v_[152] = 0 - v_[151];
+ v_[153] = 0 - v_[145];
+ v_[154] = v_[149] * v_[77] + v_[150] * v_[76] + v_[152] * v_[71] + v_[153] * v_[58] - v_[123] * w_in[4];
+ v_[155] = v_[124] * 1.7423722 + (0 - v_[50]) * -0.008711861 + v_[115] * 1.52322944854339e-09;
+ v_[156] = 0 - v_[155];
+ v_[157] = v_[101] * 1.7423722 + (0 - v_[115]) * 0.160298259823722 + v_[117] * -0.008711861;
+ v_[158] = v_[146] * v_[52] + v_[154] * v_[53] + v_[156] * v_[47] + v_[157] * v_[32] + v_[134] * w_in[3];
+ v_[159] = v_[48] * -1.7423722;
+ v_[160] = v_[50] * 0.160298259823722;
+ v_[161] = v_[117] * 1.52322944854339e-09;
+ v_[162] = 0 - v_[159] + v_[160] - v_[161];
+ v_[163] = 0 - v_[157];
+ v_[164] = v_[149] * v_[79] + v_[150] * v_[77] + v_[143] * v_[58] + v_[151] * v_[55] + v_[162] * v_[47] +
+ v_[163] * v_[35] - v_[133] * w_in[3];
+ v_[165] = 0 - (v_[96] * 2.327 + (0 - v_[114]) * 0.01438086 + v_[99] * 0.647967112);
+ v_[166] = (0 - v_[99]) * -0.0055615274403 + v_[49] * 0.01438086;
+ v_[167] = v_[158] * v_[28] + v_[164] * v_[30] + v_[165] * v_[23] + v_[166] * v_[12] + v_[137] * w_in[2];
+ v_[161] = v_[159] - v_[160] + v_[161];
+ v_[160] = v_[146] * v_[53] + v_[154] * v_[62] + v_[155] * v_[35] + v_[161] * v_[32];
+ v_[159] = v_[114] * -0.0055615274403 - (v_[51] * -2.327 + v_[49] * 0.647967112);
+ v_[168] = 0 - v_[166];
+ v_[169] = v_[160] * -1 + v_[159] * v_[23] + v_[168] * v_[15] - v_[135] * w_in[2];
+ v_[170] = v_[118] * v_[77] + v_[119] * v_[76];
+ v_[171] = (0 - v_[128]) * 1.5e-05 + v_[121] * 0.000198 + v_[170] * 0.00605;
+ v_[172] = v_[120] * 0.038686875 + v_[128] * -0.000829 + (0 - v_[121]) * -0.00146 + (0 - v_[170]) * 0.000198;
+ v_[130] = (0 - v_[130]) * 0.038686875;
+ v_[173] = v_[121] * 1.5e-05;
+ v_[174] = (0 - v_[170]) * -0.000829;
+ v_[175] = v_[130] + v_[173] + v_[174];
+ v_[176] = v_[116] * 0.057838 + (0 - v_[118]) * -0.012652 + v_[126] * -0.001387 + v_[119] * -0.018069;
+ v_[177] = v_[118] * 0.009683 + (0 - v_[126]) * -0.001243 + v_[119] * -0.012652;
+ v_[178] = (0 - v_[124]) * 0.057838;
+ v_[179] = (0 - v_[118]) * -0.001387;
+ v_[180] = (0 - v_[119]) * -0.001243;
+ v_[181] = v_[178] + v_[179] - v_[180];
+ v_[120] = v_[120] * -0.038686875 + v_[128] * -0.000829 + v_[121] * 0.003227 + v_[170] * 0.000198;
+ v_[182] = v_[128] * 1.5e-05 + v_[121] * 0.000198 + v_[170] * 0.010737;
+ v_[116] = v_[122] * -0.184 + v_[120] * v_[77] + v_[182] * v_[76] + v_[116] * -0.057838 + v_[118] * -0.012652 +
+ v_[126] * -0.001387 + v_[119] * 0.019432;
+ v_[183] = v_[147] * v_[94] + v_[140] * v_[82] + v_[171] * v_[87] + v_[172] * v_[85] + v_[175] * v_[91] +
+ v_[175] * v_[91] + v_[149] * v_[78] + v_[150] * v_[81] + v_[143] * v_[64] + v_[153] * v_[80] +
+ v_[176] * v_[71] + v_[177] * v_[55] + v_[181] * v_[58] + v_[181] * v_[58] + v_[116] * w_in[4];
+ v_[184] = v_[127] * 0.038686875 + v_[128] * -0.00751 + (0 - v_[121]) * -0.000829 + v_[170] * 1.5e-05;
+ v_[185] = (0 - v_[128]) * 0.000198;
+ v_[174] = v_[130] + v_[185] - v_[174];
+ v_[130] = v_[138] * v_[89] + v_[139] * v_[82] + v_[171] * v_[91] + v_[184] * v_[85] + v_[174] * v_[87] +
+ v_[174] * v_[87] + v_[182] * w_in[5];
+ v_[185] = 0 - v_[185] - v_[173];
+ v_[173] = v_[141] * v_[89] + v_[148] * v_[94] + v_[172] * v_[91] + v_[184] * v_[87] + v_[185] * v_[85] +
+ v_[185] * v_[85] - v_[120] * w_in[5];
+ v_[186] = v_[125] * 0.057838 + v_[118] * -0.001243 + (0 - v_[126]) * -0.008386 + (0 - v_[119]) * -0.001387;
+ v_[187] = v_[126] * -0.012652;
+ v_[179] = v_[178] - v_[179] - v_[187];
+ v_[170] = v_[127] * 0.038686875 + v_[128] * 0.009277 + v_[121] * -0.000829 + v_[170] * 1.5e-05 + v_[129] * v_[78] +
+ v_[131] * v_[81] + v_[125] * 0.057838 + v_[118] * -0.001243 + v_[126] * 0.029115 + v_[119] * -0.001387;
+ v_[128] = v_[142] * -0.184 + v_[130] * v_[77] + v_[173] * v_[76] + v_[151] * v_[64] + v_[145] * v_[69] +
+ v_[186] * v_[71] + v_[177] * v_[58] + v_[179] * v_[55] + v_[179] * v_[55] - v_[170] * w_in[4];
+ v_[127] = v_[101] * -0.008711861 + v_[48] * 1.52322944854339e-09 + (0 - v_[50]) * -0.00021200017 +
+ v_[115] * 0.0036857284 + v_[117] * 0.077424;
+ v_[121] = v_[48] * 0.160298259823722 + v_[124] * -0.008711861 + v_[50] * -0.06337651 +
+ (0 - v_[115]) * -0.0022920002 + v_[117] * -0.00021200017;
+ v_[178] = (0 - v_[101]) * 1.52322944854339e-09;
+ v_[188] = (0 - v_[124]) * 0.160298259823722;
+ v_[189] = (0 - v_[50]) * 0.0036857284;
+ v_[190] = (0 - v_[117]) * -0.0022920002;
+ v_[191] = v_[178] + v_[188] + v_[189] - v_[190];
+ v_[122] = v_[122] * 0.02075 + v_[120] * v_[86] + v_[182] * v_[77] + v_[118] * 0.011046 + v_[126] * -0.001243 +
+ v_[119] * -0.012652 + v_[101] * -0.008711861 + v_[48] * -1.52322944854339e-09 + v_[50] * -0.00021200017 +
+ v_[115] * 0.0036857284 + v_[117] * 0.081661;
+ v_[192] = v_[146] * v_[68] + v_[154] * v_[61] + v_[183] * v_[52] + v_[128] * v_[53] + v_[155] * v_[46] +
+ v_[163] * v_[64] + v_[127] * v_[47] + v_[121] * v_[32] + v_[191] * v_[35] + v_[191] * v_[35] +
+ v_[122] * w_in[3];
+ v_[187] = v_[187] + v_[180];
+ v_[180] = v_[101] * 0.160298259823722 + v_[124] * 1.52322944854339e-09 + v_[50] * -0.0022920002 +
+ (0 - v_[115]) * 0.01404749 + (0 - v_[117]) * 0.0036857284;
+ v_[193] = (0 - v_[48]) * -0.008711861;
+ v_[194] = v_[115] * -0.00021200017;
+ v_[189] = v_[178] + v_[193] - v_[189] - v_[194];
+ v_[178] = v_[123] * v_[68] + v_[132] * v_[61] + v_[170] * v_[52] + v_[116] * v_[53] + v_[101] * -0.160298259823722 +
+ v_[124] * 1.52322944854339e-09 + v_[50] * -0.0022920002 + v_[115] * 0.01828449 + v_[117] * 0.0036857284;
+ v_[142] = v_[142] * 0.02075 + v_[130] * v_[86] + v_[173] * v_[77] + v_[144] * v_[69] + v_[152] * v_[80] +
+ v_[176] * v_[58] + v_[186] * v_[55] + v_[187] * v_[71] + v_[187] * v_[71] + v_[161] * v_[46] +
+ v_[157] * v_[44] + v_[180] * v_[47] + v_[121] * v_[35] + v_[189] * v_[32] + v_[189] * v_[32] -
+ v_[178] * w_in[3];
+ v_[195] = v_[51] * 0.647967112 + (0 - v_[114]) * -0.011715295 + v_[99] * 5.399998e-05 + v_[49] * -0.199538951;
+ v_[196] = v_[51] * -0.0055615274403 + v_[96] * 0.01438086 + v_[114] * 0.00750500000000001 +
+ (0 - v_[99]) * -0.0037997814 + v_[49] * -0.011715295;
+ v_[197] = (0 - v_[96]) * -0.0055615274403;
+ v_[198] = (0 - v_[114]) * 5.399998e-05;
+ v_[199] = (0 - v_[49]) * -0.0037997814;
+ v_[200] = v_[197] + v_[198] - v_[199];
+ v_[117] = v_[133] * v_[43] + v_[134] * v_[42] +
+ (v_[123] * v_[67] + v_[132] * v_[60] + v_[170] * v_[53] + v_[116] * v_[54] + v_[48] * 0.160298259823722 +
+ v_[124] * 0.008711861 + v_[50] * 0.09570849 + v_[115] * -0.0022920002 + v_[117] * -0.00021200017) *
+ -1 +
+ v_[51] * -0.647967112 + v_[114] * -0.011715295 + v_[99] * 5.399998e-05 + v_[49] * 0.20236395;
+ v_[160] = v_[160] * -0.304 + v_[192] * v_[28] + v_[142] * v_[30] + v_[168] * v_[39] + v_[195] * v_[23] +
+ v_[196] * v_[12] + v_[200] * v_[15] + v_[200] * v_[15] + v_[117] * w_in[2];
+ v_[194] = v_[193] + v_[188] + v_[194] + v_[190];
+ v_[193] =
+ v_[96] * 0.647967112 + v_[114] * -0.0037997814 + (0 - v_[99]) * -0.192033951 + (0 - v_[49]) * 5.399998e-05;
+ v_[190] = (0 - v_[51]) * 0.01438086;
+ v_[188] = v_[99] * -0.011715295;
+ v_[198] = v_[190] - v_[198] - v_[188];
+ v_[136] = v_[136] * -0.304 + v_[178] * v_[28] + v_[122] * v_[30] + v_[96] * 0.647967112 + v_[114] * -0.0037997814 +
+ v_[99] * 0.20986895 + v_[49] * 5.399998e-05;
+ v_[201] = v_[158] * v_[43] + v_[164] * v_[42] +
+ (v_[146] * v_[67] + v_[154] * v_[60] + v_[183] * v_[53] + v_[128] * v_[54] + v_[156] * v_[44] +
+ v_[162] * v_[64] + v_[127] * v_[35] + v_[180] * v_[32] + v_[194] * v_[47] + v_[194] * v_[47]) *
+ -1 +
+ v_[166] * v_[21] + v_[193] * v_[23] + v_[196] * v_[15] + v_[198] * v_[12] + v_[198] * v_[12] -
+ v_[136] * w_in[2];
+ v_[202] = w_in[7] * 0.046852534 + (0 - v_[95]) * -0.002752 + v_[113] * -0.022851627;
+ v_[203] = (0 - w_in[7]) * 0.0055279857;
+ v_[204] = v_[203] - (0 - v_[113]) * -0.002752;
+ v_[96] = v_[178] * v_[31] + v_[122] * v_[28] + v_[51] * -0.0055615274403 + v_[96] * -0.01438086 +
+ v_[114] * 0.010329999 + v_[99] * -0.0037997814 + v_[49] * -0.011715295 + w_in[7] * -0.022851627 +
+ v_[95] * 0.0055279857 + v_[113] * 0.039002996 + (0 - w_in[7]) * -0.022851627 + v_[95] * 0.0055279857 +
+ v_[113] * -0.034462002;
+ v_[205] = v_[167] * v_[19] + v_[169] * v_[18] + v_[160] * v_[9] + v_[201] * v_[10] + v_[202] * v_[1] +
+ v_[204] * v_[5] + v_[204] * v_[5] + v_[96] * w_in[1];
+ v_[206] = cos(x_in[1]);
+ v_[207] = v_[206] * w_in[0];
+ v_[208] = -v_[207];
+ v_[209] = v_[208] * w_in[1];
+ v_[210] = sin(x_in[1]);
+ v_[211] = 0 - v_[210];
+ v_[212] = v_[211] * w_in[0];
+ v_[213] = v_[212] * w_in[1];
+ v_[214] = 9.81 * v_[206];
+ v_[215] = v_[10] * v_[212];
+ v_[216] = -v_[215];
+ v_[217] = v_[9] * v_[209] + v_[216] * w_in[2];
+ v_[218] = v_[9] * v_[212];
+ v_[219] = v_[10] * v_[209] + v_[218] * w_in[2];
+ v_[220] = 9.81 * v_[211];
+ v_[221] = v_[19] * v_[212];
+ v_[222] = v_[10] * v_[220] + v_[18] * v_[209] + v_[221] * w_in[2];
+ v_[223] = -(v_[207] * v_[21] + v_[23] * v_[221]);
+ v_[224] = v_[218] * v_[23] + v_[15] * v_[207];
+ v_[225] = v_[207] * v_[23] + v_[23] * v_[207];
+ v_[226] = v_[215] * v_[12] + v_[12] * v_[215];
+ v_[227] = -1 * v_[219];
+ v_[228] = v_[30] * v_[218] + v_[28] * v_[207];
+ v_[229] = -v_[228];
+ v_[230] = v_[31] * v_[213] + v_[28] * v_[217] + v_[229] * w_in[3];
+ v_[231] = v_[28] * v_[218] + v_[31] * v_[207];
+ v_[232] = v_[28] * v_[213] + v_[30] * v_[217] + v_[231] * w_in[3];
+ v_[233] = -0.304 * v_[217] + -1 * v_[222];
+ v_[234] = v_[18] * v_[212];
+ v_[235] = -v_[234];
+ v_[236] = v_[9] * v_[220] + v_[19] * v_[209] + v_[235] * w_in[2];
+ v_[237] = v_[43] * v_[215] + v_[28] * v_[221];
+ v_[238] = v_[28] * v_[214] + v_[30] * v_[236] + v_[42] * v_[219] + v_[237] * w_in[3];
+ v_[239] = -0.304 * v_[218] + -1 * v_[234];
+ v_[240] = -1 * v_[215];
+ v_[241] = v_[231] * v_[46] + v_[35] * v_[239] - (v_[240] * v_[44] + v_[47] * v_[237]);
+ v_[242] = v_[231] * v_[47] + v_[35] * v_[240];
+ v_[243] = v_[240] * v_[47] + v_[47] * v_[240];
+ v_[244] = v_[228] * v_[32] + v_[32] * v_[228];
+ v_[245] = v_[53] * v_[231] + v_[54] * v_[240];
+ v_[246] = -v_[245];
+ v_[247] = v_[53] * v_[227] + v_[52] * v_[230] + v_[246] * w_in[4];
+ v_[248] = v_[52] * v_[231] + v_[53] * v_[240];
+ v_[249] = v_[54] * v_[227] + v_[53] * v_[230] + v_[248] * w_in[4];
+ v_[250] = v_[42] * v_[215] + v_[30] * v_[221];
+ v_[251] = -v_[250];
+ v_[252] = v_[63] * v_[214] + v_[28] * v_[236] + v_[43] * v_[219] + v_[251] * w_in[3];
+ v_[253] = v_[67] * v_[240] + v_[68] * v_[231] + v_[53] * v_[239] + v_[52] * v_[237];
+ v_[254] = v_[60] * v_[227] + v_[61] * v_[230] + v_[62] * v_[233] + v_[53] * v_[252] + v_[253] * w_in[4];
+ v_[255] = v_[248] * v_[64] + v_[58] * v_[250] - (v_[228] * v_[69] + v_[71] * v_[253]);
+ v_[256] = v_[248] * v_[71] + v_[58] * v_[228];
+ v_[257] = v_[228] * v_[71] + v_[71] * v_[228];
+ v_[258] = v_[245] * v_[55] + v_[55] * v_[245];
+ v_[259] = v_[60] * v_[240] + v_[61] * v_[231] + v_[62] * v_[239] + v_[53] * v_[237];
+ v_[260] = v_[77] * v_[250] + v_[76] * v_[259] + v_[81] * v_[248];
+ v_[261] = -v_[260];
+ v_[262] = v_[79] * v_[238] + v_[77] * v_[254] + v_[78] * v_[247] + v_[261] * w_in[5];
+ v_[263] = v_[76] * v_[245] + v_[77] * v_[228];
+ v_[264] = v_[77] * v_[245] + v_[86] * v_[228];
+ v_[265] = v_[263] * v_[87] + v_[85] * v_[264];
+ v_[266] = 0.02075 * v_[228] + -0.184 * v_[245] + v_[253];
+ v_[267] = v_[263] * v_[89] + v_[85] * v_[266];
+ v_[268] = v_[248] * v_[82] + v_[91] * v_[260];
+ v_[269] = 1.547475 * v_[262] + 0.038686875 * v_[247] + 0.038686875 * v_[265] + -1.547475 * (v_[267] - v_[268]);
+ v_[270] = v_[79] * v_[250] + v_[77] * v_[259] + v_[78] * v_[248];
+ v_[271] = v_[248] * v_[91] + v_[91] * v_[248];
+ v_[272] = v_[264] * v_[87] + v_[87] * v_[264];
+ v_[273] = 1.547475 * (v_[264] * v_[89] + v_[87] * v_[266] - (v_[248] * v_[94] + v_[91] * v_[270])) +
+ 1.547475 * (v_[77] * v_[238] + v_[76] * v_[254] + v_[81] * v_[247] + v_[270] * w_in[5]) -
+ 0.038686875 * (v_[271] + v_[272]);
+ v_[274] = -v_[263];
+ v_[275] = v_[86] * v_[232] + v_[77] * v_[249] + v_[274] * w_in[5];
+ v_[276] = v_[77] * v_[232] + v_[76] * v_[249] + v_[264] * w_in[5];
+ v_[277] = v_[263] * v_[91] + v_[85] * v_[248];
+ v_[278] = v_[264] * v_[91] + v_[87] * v_[248];
+ v_[279] = v_[263] * v_[85] + v_[85] * v_[263];
+ v_[280] = v_[245] * v_[71] + v_[55] * v_[228];
+ v_[281] = v_[245] * v_[58] + v_[55] * v_[248];
+ v_[268] = -0.001243 * v_[232] + 0.029115 * v_[247] + -0.001387 * v_[249] + 0.057838 * v_[254] + 0.057838 * v_[255] +
+ -0.001387 * v_[256] + -0.012652 * (v_[257] - v_[258]) + v_[78] * v_[269] + v_[81] * v_[273] +
+ 0.009277 * v_[247] + -0.000829 * v_[275] + 1.5e-05 * v_[276] + 0.038686875 * v_[262] +
+ -0.00751 * v_[265] + 0.038686875 * (v_[268] - v_[267]) + -0.000829 * v_[277] - 1.5e-05 * v_[278] -
+ 0.000198 * (v_[272] - v_[279]) - -0.008386 * v_[280] - -0.001243 * v_[281];
+ v_[267] = -v_[259];
+ v_[262] = v_[67] * v_[227] + v_[68] * v_[230] + v_[53] * v_[233] + v_[52] * v_[252] + v_[267] * w_in[4];
+ v_[282] = v_[245] * v_[64] + v_[55] * v_[250] - (v_[228] * v_[80] + v_[71] * v_[259]);
+ v_[283] = 0.02075 * v_[232] + -0.184 * v_[249] + v_[262];
+ v_[284] = v_[263] * v_[94] + v_[85] * v_[270] - (v_[264] * v_[82] + v_[87] * v_[260]);
+ v_[279] = -0.000829 * v_[247] + 0.003227 * v_[275] + 0.000198 * v_[276] + -0.038686875 * v_[283] +
+ 0.000198 * v_[278] + 1.5e-05 * (v_[271] - v_[279]) - 0.038686875 * v_[284] - -0.00146 * v_[277] -
+ -0.000829 * v_[265];
+ v_[278] = 1.5e-05 * v_[247] + 0.000198 * v_[275] + 0.010737 * v_[276] + 0.00605 * v_[278] + 1.5e-05 * v_[265] -
+ 0.000198 * v_[277] - -0.000829 * (v_[271] - v_[272]);
+ v_[284] = 1.547475 * v_[283] + -0.038686875 * v_[275] + 0.038686875 * v_[277] + 1.547475 * v_[284];
+ v_[283] = v_[248] * v_[58] + v_[58] * v_[248];
+ v_[257] = -0.012652 * v_[232] + -0.001387 * v_[247] + 0.019432 * v_[249] + -0.057838 * v_[262] +
+ -0.018069 * v_[256] + 0.057838 * v_[282] + -0.012652 * v_[281] + v_[77] * v_[279] + v_[76] * v_[278] +
+ -0.184 * v_[284] - -0.001387 * v_[280] - -0.001243 * (v_[257] - v_[283]);
+ v_[282] = 2.1032 * v_[262] + -0.057838 * v_[249] + 0.057838 * v_[256] + -2.1032 * v_[282] + v_[284];
+ v_[255] = 2.1032 * v_[254] + 0.057838 * v_[247] + 0.057838 * v_[280] + 2.1032 * v_[255] + v_[77] * v_[269] +
+ v_[76] * v_[273];
+ v_[262] = v_[228] * v_[44] + v_[32] * v_[237] - (v_[231] * v_[64] + v_[35] * v_[250]);
+ v_[277] = v_[228] * v_[47] + v_[32] * v_[240];
+ v_[275] = v_[228] * v_[35] + v_[32] * v_[231];
+ v_[276] = -0.0022920002 * v_[227] + 0.01828449 * v_[230] + 0.0036857284 * v_[232] + -0.160298259823722 * v_[233] +
+ 1.52322944854339e-09 * v_[238] + 1.52322944854339e-09 * v_[241] + 0.0036857284 * v_[242] +
+ -0.00021200017 * (v_[243] - v_[244]) + v_[52] * v_[268] + v_[53] * v_[257] + v_[68] * v_[282] +
+ v_[61] * v_[255] - 0.160298259823722 * v_[262] - 0.01404749 * v_[277] - -0.0022920002 * v_[275];
+ v_[272] = v_[228] * v_[46] + v_[32] * v_[239];
+ v_[271] = v_[240] * v_[64] + v_[47] * v_[250];
+ v_[265] = v_[231] * v_[35] + v_[35] * v_[231];
+ v_[284] = -0.00021200017 * v_[227] + 0.0036857284 * v_[230] + 0.081661 * v_[232] + -0.008711861 * v_[233] +
+ -1.52322944854339e-09 * v_[252] + -0.008711861 * v_[262] + 1.52322944854339e-09 * (v_[272] - v_[271]) +
+ 0.077424 * v_[242] + -0.00021200017 * v_[275] + 0.011046 * v_[232] + -0.001243 * v_[247] +
+ -0.012652 * v_[249] + -0.001243 * v_[280] + 0.009683 * v_[281] + v_[86] * v_[279] + v_[77] * v_[278] +
+ 0.02075 * v_[284] - -0.012652 * v_[256] - -0.001387 * (v_[283] - v_[258]) - 0.0036857284 * v_[277] -
+ -0.0022920002 * (v_[243] - v_[265]);
+ v_[262] = -0.160298259823722 * v_[230] + -0.008711861 * v_[232] + 1.7423722 * v_[233] + 1.7423722 * v_[262] +
+ 0.160298259823722 * v_[277] + -0.008711861 * v_[242] + v_[53] * v_[282] + v_[62] * v_[255] -
+ 1.52322944854339e-09 * (v_[265] + v_[244]);
+ v_[281] = v_[215] * v_[21] + v_[12] * v_[221] - (v_[218] * v_[39] + v_[15] * v_[234]);
+ v_[280] = v_[215] * v_[23] + v_[12] * v_[207];
+ v_[256] = v_[215] * v_[15] + v_[12] * v_[218];
+ v_[285] = -0.0037997814 * v_[213] + 0.20986895 * v_[217] + 5.399998e-05 * v_[219] + 0.0055615274403 * v_[214] +
+ 0.647967112 * v_[222] + 0.647967112 * v_[223] + 5.399998e-05 * v_[224] +
+ -0.011715295 * (v_[225] - v_[226]) + v_[28] * v_[276] + v_[30] * v_[284] + -0.304 * v_[262] -
+ -0.0055615274403 * v_[281] - -0.192033951 * v_[280] - -0.0037997814 * v_[256];
+ v_[286] = v_[207] * v_[39] + v_[23] * v_[234];
+ v_[287] = -v_[286];
+ v_[288] = 0.160298259823722 * v_[227] + -1.52322944854339e-09 * v_[232] + 1.7423722 * v_[252] +
+ -1.7423722 * (v_[272] - v_[271]) + 0.160298259823722 * v_[275] + 1.52322944854339e-09 * v_[242] +
+ v_[52] * v_[282] + v_[53] * v_[255] - -0.008711861 * (v_[243] + v_[244]);
+ v_[283] = 0.008711861 * v_[227] + 1.52322944854339e-09 * v_[230] + 1.7423722 * v_[238] + 1.7423722 * v_[241] +
+ 1.52322944854339e-09 * v_[277] + -0.008711861 * v_[275] +
+ 2.1032 * (v_[245] * v_[69] + v_[55] * v_[253] - (v_[248] * v_[80] + v_[58] * v_[259])) +
+ 2.1032 * v_[238] + v_[79] * v_[269] + v_[77] * v_[273] - 0.160298259823722 * (v_[243] + v_[265]) -
+ 0.057838 * (v_[283] + v_[258]);
+ v_[258] = v_[218] * v_[15] + v_[15] * v_[218];
+ v_[281] =
+ -0.011715295 * v_[213] + 5.399998e-05 * v_[217] + 0.20236395 * v_[219] + 0.01438086 * v_[214] +
+ -0.647967112 * v_[236] + 0.01438086 * v_[281] + 0.647967112 * v_[287] + -0.199538951 * v_[224] +
+ -0.011715295 * v_[256] + v_[43] * v_[288] + v_[42] * v_[283] +
+ -1 * (0.09570849 * v_[227] + -0.0022920002 * v_[230] + -0.00021200017 * v_[232] + 0.160298259823722 * v_[252] +
+ 0.008711861 * v_[238] + 0.160298259823722 * (v_[271] - v_[272]) + -0.06337651 * v_[275] +
+ -0.0022920002 * v_[277] + v_[53] * v_[268] + v_[54] * v_[257] + v_[67] * v_[282] + v_[60] * v_[255] -
+ -0.008711861 * v_[241] - -0.00021200017 * v_[242] - 0.0036857284 * (v_[265] - v_[244])) -
+ 5.399998e-05 * v_[280] - -0.0037997814 * (v_[225] - v_[258]);
+ v_[287] = -0.0055615274403 * v_[213] + -0.647967112 * v_[219] + 2.327 * v_[236] + -2.327 * v_[287] +
+ -0.0055615274403 * v_[256] + 0.647967112 * v_[224] + v_[28] * v_[288] + v_[30] * v_[283] -
+ 0.01438086 * (v_[225] + v_[226]);
+ v_[262] = -0.01438086 * v_[213] + 0.647967112 * v_[217] + 2.327 * v_[222] + 2.327 * v_[223] +
+ 0.647967112 * v_[280] + 0.01438086 * v_[256] + -1 * v_[262] - -0.0055615274403 * (v_[225] + v_[258]);
+ v_[225] = v_[207] * w_in[1];
+ v_[265] = v_[207] * v_[5] + v_[1] * v_[212];
+ v_[271] = w_in[6] * v_[211];
+ v_[272] = v_[271] * v_[18];
+ v_[275] = v_[271] * v_[9];
+ v_[277] = v_[272] * -1 + v_[275] * -0.304;
+ v_[244] = v_[271] * v_[19];
+ v_[242] = v_[271] * v_[10];
+ v_[241] = v_[244] * v_[28] + v_[242] * v_[43];
+ v_[243] = v_[242] * -1;
+ v_[289] = w_in[6] * v_[206];
+ v_[290] = v_[289] * v_[31] + v_[275] * v_[28];
+ v_[291] = v_[277] * v_[53] + v_[241] * v_[52] + v_[243] * v_[67] + v_[290] * v_[68];
+ v_[292] = v_[289] * v_[28] + v_[275] * v_[30];
+ v_[293] = v_[243] * v_[54] + v_[290] * v_[53];
+ v_[294] = v_[291] + v_[292] * 0.02075 + v_[293] * -0.184;
+ v_[295] = v_[292] * v_[86] + v_[293] * v_[77];
+ v_[296] = v_[294] * 1.547475 + v_[295] * -0.038686875;
+ v_[297] = v_[296] + v_[291] * 2.1032 + v_[293] * -0.057838;
+ v_[298] = v_[244] * v_[30] + v_[242] * v_[42];
+ v_[299] = v_[277] * v_[62] + v_[241] * v_[53] + v_[243] * v_[60] + v_[290] * v_[61];
+ v_[300] = v_[243] * v_[53] + v_[290] * v_[52];
+ v_[301] = v_[298] * v_[79] + v_[299] * v_[77] + v_[300] * v_[78];
+ v_[302] = v_[301] * 1.547475 + v_[300] * 0.038686875;
+ v_[303] = v_[298] * v_[77] + v_[299] * v_[76] + v_[300] * v_[81];
+ v_[304] = v_[303] * 1.547475;
+ v_[305] = v_[302] * v_[77] + v_[304] * v_[76] + v_[299] * 2.1032 + v_[300] * 0.057838;
+ v_[306] = v_[297] * v_[52] + v_[305] * v_[53] + v_[241] * 1.7423722 + v_[243] * 0.160298259823722 +
+ v_[292] * -1.52322944854339e-09;
+ v_[307] = v_[302] * v_[79] + v_[304] * v_[77] + v_[298] * 2.1032 + v_[298] * 1.7423722 + v_[243] * 0.008711861 +
+ v_[290] * 1.52322944854339e-09;
+ v_[308] =
+ v_[306] * v_[28] + v_[307] * v_[30] + v_[244] * 2.327 + v_[289] * -0.0055615274403 + v_[242] * -0.647967112;
+ v_[309] = v_[297] * v_[53] + v_[305] * v_[62] + v_[277] * 1.7423722 + v_[290] * -0.160298259823722 +
+ v_[292] * -0.008711861;
+ v_[310] = v_[309] * -1 + v_[272] * 2.327 + v_[289] * -0.01438086 + v_[275] * 0.647967112;
+ v_[311] = v_[303] * 1.547475;
+ v_[312] = v_[301] * -1.547475;
+ v_[313] = v_[300] * 0.038686875;
+ v_[314] = v_[312] - v_[313];
+ v_[315] = v_[138] * v_[264] + v_[311] * v_[87] + v_[141] * v_[263] + v_[314] * v_[85];
+ v_[316] = v_[299] * 2.1032 + v_[300] * 0.057838;
+ v_[317] = 0 - v_[316];
+ v_[318] = v_[298] * 2.1032;
+ v_[319] = v_[315] + v_[144] * v_[228] + v_[317] * v_[71] + v_[145] * v_[245] + v_[318] * v_[55] + v_[305] * w_in[4];
+ v_[320] = 0 - v_[311];
+ v_[321] = v_[294] * 1.547475 + (0 - v_[295]) * 0.038686875;
+ v_[322] = v_[147] * v_[248] + v_[320] * v_[91] + v_[148] * v_[263] + v_[321] * v_[85] + v_[304] * w_in[5];
+ v_[313] = 0 - v_[312] + v_[313];
+ v_[312] = 0 - v_[321];
+ v_[323] = v_[140] * v_[248] + v_[313] * v_[91] + v_[139] * v_[264] + v_[312] * v_[87] - v_[302] * w_in[5];
+ v_[324] = v_[291] * -2.1032 + v_[293] * 0.057838;
+ v_[325] = 0 - v_[324];
+ v_[326] = 0 - v_[318];
+ v_[327] = v_[322] * v_[77] + v_[323] * v_[76] + v_[152] * v_[228] + v_[325] * v_[71] + v_[153] * v_[248] +
+ v_[326] * v_[58] - v_[297] * w_in[4];
+ v_[328] = v_[298] * 1.7423722 + (0 - v_[243]) * -0.008711861 + v_[290] * 1.52322944854339e-09;
+ v_[329] = 0 - v_[328];
+ v_[330] = v_[277] * 1.7423722 + (0 - v_[290]) * 0.160298259823722 + v_[292] * -0.008711861;
+ v_[331] = v_[319] * v_[52] + v_[327] * v_[53] + v_[156] * v_[240] + v_[329] * v_[47] + v_[157] * v_[228] +
+ v_[330] * v_[32] + v_[307] * w_in[3];
+ v_[332] = v_[241] * -1.7423722;
+ v_[333] = v_[243] * 0.160298259823722;
+ v_[334] = v_[292] * 1.52322944854339e-09;
+ v_[335] = 0 - v_[332] + v_[333] - v_[334];
+ v_[336] = 0 - v_[330];
+ v_[337] = v_[322] * v_[79] + v_[323] * v_[77] + v_[143] * v_[248] + v_[316] * v_[58] + v_[151] * v_[245] +
+ v_[324] * v_[55] + v_[162] * v_[240] + v_[335] * v_[47] + v_[163] * v_[231] + v_[336] * v_[35] -
+ v_[306] * w_in[3];
+ v_[338] = 0 - (v_[272] * 2.327 + (0 - v_[289]) * 0.01438086 + v_[275] * 0.647967112);
+ v_[339] = (0 - v_[275]) * -0.0055615274403 + v_[242] * 0.01438086;
+ v_[340] = v_[331] * v_[28] + v_[337] * v_[30] + v_[165] * v_[207] + v_[338] * v_[23] + v_[166] * v_[215] +
+ v_[339] * v_[12] + v_[310] * w_in[2];
+ v_[334] = v_[332] - v_[333] + v_[334];
+ v_[333] = v_[319] * v_[53] + v_[327] * v_[62] + v_[155] * v_[231] + v_[328] * v_[35] + v_[161] * v_[228] +
+ v_[334] * v_[32];
+ v_[332] = v_[289] * -0.0055615274403 - (v_[244] * -2.327 + v_[242] * 0.647967112);
+ v_[341] = 0 - v_[339];
+ v_[342] =
+ v_[333] * -1 + v_[159] * v_[207] + v_[332] * v_[23] + v_[168] * v_[218] + v_[341] * v_[15] - v_[308] * w_in[2];
+ v_[343] = v_[292] * v_[77] + v_[293] * v_[76];
+ v_[344] = (0 - v_[300]) * 1.5e-05 + v_[295] * 0.000198 + v_[343] * 0.00605;
+ v_[345] = v_[294] * 0.038686875 + v_[300] * -0.000829 + (0 - v_[295]) * -0.00146 + (0 - v_[343]) * 0.000198;
+ v_[303] = (0 - v_[303]) * 0.038686875;
+ v_[346] = v_[295] * 1.5e-05;
+ v_[347] = (0 - v_[343]) * -0.000829;
+ v_[348] = v_[303] + v_[346] + v_[347];
+ v_[348] = v_[147] * v_[270] + v_[320] * v_[94] + v_[140] * v_[260] + v_[313] * v_[82] + v_[171] * v_[264] +
+ v_[344] * v_[87] + v_[172] * v_[263] + v_[345] * v_[85] + v_[175] * v_[248] + v_[175] * v_[248] +
+ v_[348] * v_[91] + v_[348] * v_[91];
+ v_[313] = v_[291] * 0.057838 + (0 - v_[292]) * -0.012652 + v_[300] * -0.001387 + v_[293] * -0.018069;
+ v_[320] = v_[292] * 0.009683 + (0 - v_[300]) * -0.001243 + v_[293] * -0.012652;
+ v_[175] = (0 - v_[298]) * 0.057838;
+ v_[140] = (0 - v_[292]) * -0.001387;
+ v_[147] = (0 - v_[293]) * -0.001243;
+ v_[349] = v_[175] + v_[140] - v_[147];
+ v_[294] = v_[294] * -0.038686875 + v_[300] * -0.000829 + v_[295] * 0.003227 + v_[343] * 0.000198;
+ v_[350] = v_[300] * 1.5e-05 + v_[295] * 0.000198 + v_[343] * 0.010737;
+ hes[23] = v_[129] * v_[261] + v_[302] * v_[83] + v_[131] * v_[270] + v_[304] * v_[94] + v_[120] * v_[274] +
+ v_[294] * v_[98] + v_[182] * v_[264] + v_[350] * v_[87] + v_[348];
+ v_[291] = v_[296] * -0.184 + v_[294] * v_[77] + v_[350] * v_[76] + v_[291] * -0.057838 + v_[292] * -0.012652 +
+ v_[300] * -0.001387 + v_[293] * 0.019432;
+ v_[349] = v_[348] + v_[322] * v_[78] + v_[323] * v_[81] + v_[143] * v_[250] + v_[316] * v_[64] + v_[153] * v_[259] +
+ v_[326] * v_[80] + v_[176] * v_[228] + v_[313] * v_[71] + v_[177] * v_[245] + v_[320] * v_[55] +
+ v_[181] * v_[248] + v_[181] * v_[248] + v_[349] * v_[58] + v_[349] * v_[58] + v_[291] * w_in[4];
+ v_[348] = v_[301] * 0.038686875 + v_[300] * -0.00751 + (0 - v_[295]) * -0.000829 + v_[343] * 1.5e-05;
+ v_[326] = (0 - v_[300]) * 0.000198;
+ v_[347] = v_[303] + v_[326] - v_[347];
+ v_[347] = v_[138] * v_[266] + v_[311] * v_[89] + v_[139] * v_[260] + v_[312] * v_[82] + v_[171] * v_[248] +
+ v_[344] * v_[91] + v_[184] * v_[263] + v_[348] * v_[85] + v_[174] * v_[264] + v_[174] * v_[264] +
+ v_[347] * v_[87] + v_[347] * v_[87] + v_[350] * w_in[5];
+ v_[326] = 0 - v_[326] - v_[346];
+ v_[326] = v_[141] * v_[266] + v_[314] * v_[89] + v_[148] * v_[270] + v_[321] * v_[94] + v_[172] * v_[248] +
+ v_[345] * v_[91] + v_[184] * v_[264] + v_[348] * v_[87] + v_[185] * v_[263] + v_[185] * v_[263] +
+ v_[326] * v_[85] + v_[326] * v_[85] - v_[294] * w_in[5];
+ v_[348] = v_[299] * 0.057838 + v_[292] * -0.001243 + (0 - v_[300]) * -0.008386 + (0 - v_[293]) * -0.001387;
+ v_[345] = v_[300] * -0.012652;
+ v_[140] = v_[175] - v_[140] - v_[345];
+ v_[343] = v_[301] * 0.038686875 + v_[300] * 0.009277 + v_[295] * -0.000829 + v_[343] * 1.5e-05 + v_[302] * v_[78] +
+ v_[304] * v_[81] + v_[299] * 0.057838 + v_[292] * -0.001243 + v_[300] * 0.029115 + v_[293] * -0.001387;
+ v_[140] = v_[315] * -0.184 + v_[347] * v_[77] + v_[326] * v_[76] + v_[151] * v_[250] + v_[324] * v_[64] +
+ v_[145] * v_[253] + v_[318] * v_[69] + v_[186] * v_[228] + v_[348] * v_[71] + v_[177] * v_[248] +
+ v_[320] * v_[58] + v_[179] * v_[245] + v_[179] * v_[245] + v_[140] * v_[55] + v_[140] * v_[55] -
+ v_[343] * w_in[4];
+ v_[320] = v_[277] * -0.008711861 + v_[241] * 1.52322944854339e-09 + (0 - v_[243]) * -0.00021200017 +
+ v_[290] * 0.0036857284 + v_[292] * 0.077424;
+ v_[324] = v_[241] * 0.160298259823722 + v_[298] * -0.008711861 + v_[243] * -0.06337651 +
+ (0 - v_[290]) * -0.0022920002 + v_[292] * -0.00021200017;
+ v_[318] = (0 - v_[277]) * 1.52322944854339e-09;
+ v_[179] = (0 - v_[298]) * 0.160298259823722;
+ v_[177] = (0 - v_[243]) * 0.0036857284;
+ v_[151] = (0 - v_[292]) * -0.0022920002;
+ v_[145] = v_[318] + v_[179] + v_[177] - v_[151];
+ v_[296] = v_[296] * 0.02075 + v_[294] * v_[86] + v_[350] * v_[77] + v_[292] * 0.011046 + v_[300] * -0.001243 +
+ v_[293] * -0.012652 + v_[277] * -0.008711861 + v_[241] * -1.52322944854339e-09 +
+ v_[243] * -0.00021200017 + v_[290] * 0.0036857284 + v_[292] * 0.081661;
+ v_[145] = v_[319] * v_[68] + v_[327] * v_[61] + v_[349] * v_[52] + v_[140] * v_[53] + v_[155] * v_[239] +
+ v_[328] * v_[46] + v_[163] * v_[250] + v_[336] * v_[64] + v_[127] * v_[240] + v_[320] * v_[47] +
+ v_[121] * v_[228] + v_[324] * v_[32] + v_[191] * v_[231] + v_[191] * v_[231] + v_[145] * v_[35] +
+ v_[145] * v_[35] + v_[296] * w_in[3];
+ v_[345] = v_[345] + v_[147];
+ v_[345] = v_[315] * 0.02075 + v_[347] * v_[86] + v_[326] * v_[77] + v_[144] * v_[253] + v_[317] * v_[69] +
+ v_[152] * v_[259] + v_[325] * v_[80] + v_[176] * v_[248] + v_[313] * v_[58] + v_[186] * v_[245] +
+ v_[348] * v_[55] + v_[187] * v_[228] + v_[187] * v_[228] + v_[345] * v_[71] + v_[345] * v_[71];
+ hes[22] = v_[123] * v_[267] + v_[297] * v_[90] + v_[132] * v_[253] + v_[305] * v_[69] + v_[170] * v_[246] +
+ v_[343] * v_[56] + v_[116] * v_[248] + v_[291] * v_[58] + v_[345];
+ v_[267] = v_[277] * 0.160298259823722 + v_[298] * 1.52322944854339e-09 + v_[243] * -0.0022920002 +
+ (0 - v_[290]) * 0.01404749 + (0 - v_[292]) * 0.0036857284;
+ v_[253] = (0 - v_[241]) * -0.008711861;
+ v_[246] = v_[290] * -0.00021200017;
+ v_[177] = v_[318] + v_[253] - v_[177] - v_[246];
+ v_[318] = v_[297] * v_[68] + v_[305] * v_[61] + v_[343] * v_[52] + v_[291] * v_[53] + v_[277] * -0.160298259823722 +
+ v_[298] * 1.52322944854339e-09 + v_[243] * -0.0022920002 + v_[290] * 0.01828449 + v_[292] * 0.0036857284;
+ v_[177] = v_[345] + v_[161] * v_[239] + v_[334] * v_[46] + v_[157] * v_[237] + v_[330] * v_[44] +
+ v_[180] * v_[240] + v_[267] * v_[47] + v_[121] * v_[231] + v_[324] * v_[35] + v_[189] * v_[228] +
+ v_[189] * v_[228] + v_[177] * v_[32] + v_[177] * v_[32] - v_[318] * w_in[3];
+ v_[345] = v_[244] * 0.647967112 + (0 - v_[289]) * -0.011715295 + v_[275] * 5.399998e-05 + v_[242] * -0.199538951;
+ v_[324] = v_[244] * -0.0055615274403 + v_[272] * 0.01438086 + v_[289] * 0.00750500000000001 +
+ (0 - v_[275]) * -0.0037997814 + v_[242] * -0.011715295;
+ v_[334] = (0 - v_[272]) * -0.0055615274403;
+ v_[330] = (0 - v_[289]) * 5.399998e-05;
+ v_[189] = (0 - v_[242]) * -0.0037997814;
+ v_[121] = v_[334] + v_[330] - v_[189];
+ v_[161] = v_[306] * v_[43] + v_[307] * v_[42] +
+ (v_[297] * v_[67] + v_[305] * v_[60] + v_[343] * v_[53] + v_[291] * v_[54] + v_[241] * 0.160298259823722 +
+ v_[298] * 0.008711861 + v_[243] * 0.09570849 + v_[290] * -0.0022920002 + v_[292] * -0.00021200017) *
+ -1 +
+ v_[244] * -0.647967112 + v_[289] * -0.011715295 + v_[275] * 5.399998e-05 + v_[242] * 0.20236395;
+ v_[121] = v_[333] * -0.304 + v_[145] * v_[28] + v_[177] * v_[30] + v_[168] * v_[234] + v_[341] * v_[39] +
+ v_[195] * v_[207] + v_[345] * v_[23] + v_[196] * v_[215] + v_[324] * v_[12] + v_[200] * v_[218] +
+ v_[200] * v_[218] + v_[121] * v_[15] + v_[121] * v_[15] + v_[161] * w_in[2];
+ v_[246] = v_[253] + v_[179] + v_[246] + v_[151];
+ v_[246] = v_[319] * v_[67] + v_[327] * v_[60] + v_[349] * v_[53] + v_[140] * v_[54] + v_[156] * v_[237] +
+ v_[329] * v_[44] + v_[162] * v_[250] + v_[335] * v_[64] + v_[127] * v_[231] + v_[320] * v_[35] +
+ v_[180] * v_[228] + v_[267] * v_[32] + v_[194] * v_[240] + v_[194] * v_[240] + v_[246] * v_[47] +
+ v_[246] * v_[47];
+ hes[21] = v_[133] * v_[251] + v_[306] * v_[65] + v_[134] * v_[237] + v_[307] * v_[44] + v_[178] * v_[229] +
+ v_[318] * v_[33] + v_[122] * v_[231] + v_[296] * v_[35] + v_[246];
+ v_[251] =
+ v_[272] * 0.647967112 + v_[289] * -0.0037997814 + (0 - v_[275]) * -0.192033951 + (0 - v_[242]) * 5.399998e-05;
+ v_[229] = (0 - v_[244]) * 0.01438086;
+ v_[267] = v_[275] * -0.011715295;
+ v_[330] = v_[229] - v_[330] - v_[267];
+ v_[309] = v_[309] * -0.304 + v_[318] * v_[28] + v_[296] * v_[30] + v_[272] * 0.647967112 + v_[289] * -0.0037997814 +
+ v_[275] * 0.20986895 + v_[242] * 5.399998e-05;
+ v_[330] = v_[331] * v_[43] + v_[337] * v_[42] + v_[246] * -1 + v_[166] * v_[221] + v_[339] * v_[21] +
+ v_[193] * v_[207] + v_[251] * v_[23] + v_[196] * v_[218] + v_[324] * v_[15] + v_[198] * v_[215] +
+ v_[198] * v_[215] + v_[330] * v_[12] + v_[330] * v_[12] - v_[309] * w_in[2];
+ v_[246] = (0 - v_[271]) * -0.002752 + v_[289] * -0.022851627;
+ v_[324] = (0 - v_[289]) * -0.002752;
+ v_[339] = 0 - v_[324];
+ v_[272] = v_[318] * v_[31] + v_[296] * v_[28] + v_[244] * -0.0055615274403 + v_[272] * -0.01438086 +
+ v_[289] * 0.010329999 + v_[275] * -0.0037997814 + v_[242] * -0.011715295 + v_[271] * 0.0055279857 +
+ v_[289] * 0.039002996 + v_[271] * 0.0055279857 + v_[289] * -0.034462002;
+ v_[339] = v_[340] * v_[19] + v_[342] * v_[18] + v_[121] * v_[9] + v_[330] * v_[10] + v_[202] * v_[207] +
+ v_[246] * v_[1] + v_[204] * v_[212] + v_[204] * v_[212] + v_[339] * v_[5] + v_[339] * v_[5] +
+ v_[272] * w_in[1];
+ v_[188] = v_[190] + v_[197] + v_[188] + v_[199];
+ v_[267] = v_[229] + v_[334] + v_[267] + v_[189];
+ v_[267] = v_[145] * v_[31] + v_[177] * v_[28] + v_[165] * v_[221] + v_[338] * v_[21] + v_[159] * v_[234] +
+ v_[332] * v_[39] + v_[195] * v_[218] + v_[345] * v_[15] + v_[193] * v_[215] + v_[251] * v_[12] +
+ v_[188] * v_[207] + v_[188] * v_[207] + v_[267] * v_[23] + v_[267] * v_[23];
+ hes[20] = v_[135] * v_[235] + v_[308] * v_[40] + v_[137] * v_[221] + v_[310] * v_[21] + v_[136] * v_[216] +
+ v_[309] * v_[13] + v_[117] * v_[218] + v_[161] * v_[15] + v_[267];
+ v_[235] = (0 - v_[271]) * 0.012390532 + (0 - v_[289]) * 0.0055279857;
+ v_[203] = 0 - v_[203] - v_[95] * -0.022851627;
+ v_[216] = v_[271] * -0.022851627;
+ v_[251] = 0 - v_[216];
+ v_[345] = v_[308] * v_[19] + v_[310] * v_[18] + v_[309] * v_[9] + v_[161] * v_[10] + v_[271] * 0.08585553 +
+ v_[289] * 0.0055279857;
+ v_[251] = v_[267] + v_[235] * w_in[1] + v_[202] * v_[212] + v_[246] * v_[5] + v_[203] * v_[207] +
+ v_[203] * v_[207] + v_[251] * v_[1] + v_[251] * v_[1] - v_[345] * w_in[1];
+ v_[267] = w_in[7] * -0.002752 + (0 - v_[95]) * 0.012390532 + (0 - v_[113]) * 0.0055279857;
+ v_[246] = v_[135] * v_[19] + v_[137] * v_[18] + v_[136] * v_[9] + v_[117] * v_[10] + w_in[7] * -0.002752 +
+ v_[95] * 0.08585553 + v_[113] * 0.0055279857;
+ v_[203] = v_[192] * v_[31] + v_[142] * v_[28] + v_[165] * v_[21] + v_[159] * v_[39] + v_[195] * v_[15] +
+ v_[193] * v_[12] + v_[188] * v_[23] + v_[188] * v_[23] + v_[267] * w_in[1] + v_[202] * v_[5] +
+ v_[203] * v_[1] + v_[203] * v_[1] - v_[246] * w_in[1];
+ hes[13] =
+ (0 -
+ (w_in[6] * (0.08585553 * v_[3] + 0.0055279857 * v_[6] + 0.0099341499912 * v_[7] + 0.0055279857 * v_[6] +
+ -0.022851627 * (v_[8] - v_[1] * v_[1]) + v_[9] * v_[109] + v_[10] * v_[105] +
+ v_[19] * v_[111] + v_[18] * v_[84] - 0.012390532 * v_[26] - -0.002752 * v_[88]) +
+ (v_[135] * v_[9] + v_[137] * v_[10] + w_in[7] * 0.293374233908935 + v_[113] * -0.0099341499912) * 9.81 +
+ v_[205] * w_in[0])) *
+ v_[4] -
+ (w_in[6] * (0.08585553 * v_[209] + 0.0055279857 * v_[213] + 0.0099341499912 * v_[214] + 0.0055279857 * v_[213] +
+ -0.022851627 * (0 - (v_[207] * v_[1] + v_[1] * v_[207])) + v_[9] * v_[285] + v_[10] * v_[281] +
+ v_[19] * v_[287] + v_[18] * v_[262] - 0.012390532 * v_[225] - -0.002752 * v_[265]) +
+ (v_[308] * v_[9] + v_[310] * v_[10] + v_[289] * -0.0099341499912) * 9.81 + v_[339] * w_in[0]) *
+ v_[210] +
+ (w_in[6] *
+ (0.0055279857 * v_[209] + 0.039002996 * v_[213] + -0.0099341499912 * v_[220] + -0.034462002 * v_[213] +
+ -0.022851627 * v_[265] + 0.010329999 * v_[213] + -0.0037997814 * v_[217] + -0.011715295 * v_[219] +
+ -0.0055615274403 * v_[236] + -0.01438086 * v_[222] + -0.0055615274403 * v_[286] +
+ 0.00750500000000001 * v_[256] + -0.0037997814 * v_[280] + v_[31] * v_[276] + v_[28] * v_[284] -
+ 0.01438086 * v_[223] - -0.011715295 * v_[224] - 5.399998e-05 * (v_[258] - v_[226]) -
+ 0.0055279857 * v_[225] - -0.002752 * (0 - (v_[212] * v_[5] + v_[5] * v_[212]))) +
+ (v_[306] * v_[63] + v_[307] * v_[28] + v_[275] * 0.0055615274403 + v_[242] * 0.01438086 +
+ v_[271] * 0.0099341499912) *
+ 9.81 +
+ v_[251] * w_in[0]) *
+ v_[206] -
+ (w_in[6] * (0.0055279857 * v_[3] + 0.039002996 * v_[6] + -0.0099341499912 * v_[17] + -0.034462002 * v_[6] +
+ -0.022851627 * v_[88] + 0.010329999 * v_[6] + -0.0037997814 * v_[14] + -0.011715295 * v_[16] +
+ -0.0055615274403 * v_[41] + -0.01438086 * v_[22] + -0.0055615274403 * v_[110] +
+ 0.00750500000000001 * v_[73] + -0.0037997814 * v_[104] + v_[31] * v_[100] + v_[28] * v_[108] -
+ 0.01438086 * v_[24] - -0.011715295 * v_[25] - 5.399998e-05 * (v_[75] - v_[27]) -
+ 0.0055279857 * v_[26] - -0.002752 * (v_[8] - v_[5] * v_[5])) +
+ (v_[133] * v_[63] + v_[134] * v_[28] + v_[99] * 0.0055615274403 + v_[49] * 0.01438086 +
+ w_in[7] * 0.0606159433962 + v_[95] * 0.0099341499912) *
+ 9.81 +
+ v_[203] * w_in[0]) *
+ v_[0];
+ hes[18] = v_[205] * v_[211] + v_[339] * v_[4] + v_[203] * v_[206] + v_[251] * v_[0];
+ v_[203] = sin(x_in[2]);
+ v_[251] = cos(x_in[2]);
+ hes[14] =
+ 0 -
+ (v_[95] * v_[285] + v_[271] * v_[109] + v_[135] * v_[220] + v_[308] * v_[17] + v_[136] * v_[209] +
+ v_[309] * v_[3] + v_[160] * v_[212] + v_[121] * v_[5] + (w_in[7] * v_[287] + v_[340] * w_in[1]) * 0.112 +
+ (v_[95] * v_[262] + v_[271] * v_[84] + v_[137] * v_[209] + v_[310] * v_[3] + v_[169] * v_[212] +
+ v_[342] * v_[5]) *
+ 0.112 -
+ (w_in[7] * v_[281] + v_[330] * w_in[1])) *
+ v_[203] +
+ (w_in[7] * v_[285] + v_[95] * v_[281] + v_[271] * v_[105] + v_[137] * v_[220] + v_[310] * v_[17] +
+ v_[117] * v_[209] + v_[161] * v_[3] + v_[121] * w_in[1] + v_[201] * v_[212] + v_[330] * v_[5] +
+ (v_[95] * v_[287] + v_[271] * v_[111] + v_[135] * v_[209] + v_[308] * v_[3] + v_[167] * v_[212] +
+ v_[340] * v_[5]) *
+ -0.112 +
+ (w_in[7] * v_[262] + v_[342] * w_in[1]) * 0.112) *
+ v_[251];
+ v_[309] = sin(x_in[3]);
+ v_[161] = cos(x_in[3]);
+ hes[15] = 0 -
+ (v_[51] * v_[288] + v_[244] * v_[112] + v_[114] * v_[284] + v_[289] * v_[108] + v_[99] * v_[276] +
+ v_[275] * v_[100] + v_[133] * v_[236] + v_[306] * v_[41] + v_[134] * v_[214] + v_[307] * v_[7] +
+ v_[178] * v_[217] + v_[318] * v_[14] + v_[122] * v_[213] + v_[296] * v_[6] + v_[158] * v_[221] +
+ v_[331] * v_[21] + v_[192] * v_[218] + v_[145] * v_[15] + v_[142] * v_[207] + v_[177] * v_[23] +
+ (v_[49] * v_[288] + v_[242] * v_[112] + v_[133] * v_[219] + v_[306] * v_[16] + v_[158] * v_[215] +
+ v_[331] * v_[12]) *
+ -0.304) *
+ v_[309] +
+ (v_[51] * v_[283] + v_[244] * v_[107] + v_[99] * v_[284] + v_[275] * v_[108] + v_[134] * v_[236] +
+ v_[307] * v_[41] + v_[122] * v_[217] + v_[296] * v_[14] + v_[164] * v_[221] + v_[337] * v_[21] +
+ v_[142] * v_[218] + v_[177] * v_[15] - (v_[133] * v_[214] + v_[306] * v_[7]) +
+ (v_[49] * v_[283] + v_[242] * v_[107] + v_[134] * v_[219] + v_[307] * v_[16] + v_[164] * v_[215] +
+ v_[337] * v_[12]) *
+ -0.304 -
+ (v_[114] * v_[276] + v_[289] * v_[100] + v_[178] * v_[213] + v_[318] * v_[6] + v_[192] * v_[207] +
+ v_[145] * v_[23])) *
+ v_[161];
+ v_[177] = sin(x_in[4]);
+ v_[318] = cos(x_in[4]);
+ hes[16] = 0 -
+ (v_[48] * v_[282] + v_[241] * v_[106] + v_[115] * v_[268] + v_[290] * v_[92] + v_[123] * v_[252] +
+ v_[297] * v_[66] + v_[170] * v_[230] + v_[343] * v_[34] + v_[146] * v_[237] + v_[319] * v_[44] +
+ v_[183] * v_[231] + v_[349] * v_[35] +
+ (v_[50] * v_[282] + v_[243] * v_[106] + v_[123] * v_[227] + v_[297] * v_[29] + v_[146] * v_[240] +
+ v_[319] * v_[47]) *
+ 0.112 -
+ (v_[101] * v_[255] + v_[277] * v_[72] + v_[132] * v_[233] + v_[305] * v_[37] + v_[154] * v_[239] +
+ v_[327] * v_[46]) +
+ (v_[115] * v_[255] + v_[290] * v_[72] + v_[132] * v_[230] + v_[305] * v_[34] + v_[154] * v_[231] +
+ v_[327] * v_[35]) *
+ 0.112 -
+ (v_[50] * v_[257] + v_[243] * v_[74] + v_[116] * v_[227] + v_[291] * v_[29] + v_[128] * v_[240] +
+ v_[140] * v_[47])) *
+ v_[177] +
+ (v_[101] * v_[282] + v_[277] * v_[106] + v_[48] * v_[255] + v_[241] * v_[72] + v_[50] * v_[268] +
+ v_[243] * v_[92] + v_[115] * v_[257] + v_[290] * v_[74] + v_[123] * v_[233] + v_[297] * v_[37] +
+ v_[132] * v_[252] + v_[305] * v_[66] + v_[170] * v_[227] + v_[343] * v_[29] + v_[116] * v_[230] +
+ v_[291] * v_[34] + v_[146] * v_[239] + v_[319] * v_[46] + v_[154] * v_[237] + v_[327] * v_[44] +
+ v_[183] * v_[240] + v_[349] * v_[47] + v_[128] * v_[231] + v_[140] * v_[35] +
+ (v_[115] * v_[282] + v_[290] * v_[106] + v_[123] * v_[230] + v_[297] * v_[34] + v_[146] * v_[231] +
+ v_[319] * v_[35]) *
+ -0.112 +
+ (v_[50] * v_[255] + v_[243] * v_[72] + v_[132] * v_[227] + v_[305] * v_[29] + v_[154] * v_[240] +
+ v_[327] * v_[47]) *
+ 0.112) *
+ v_[318];
+ v_[140] = v_[126] * v_[269] + v_[300] * v_[93] + v_[129] * v_[247] + v_[302] * v_[57] + v_[149] * v_[248] +
+ v_[322] * v_[58];
+ v_[300] = v_[126] * v_[273] + v_[300] * v_[97] + v_[131] * v_[247] + v_[304] * v_[57] + v_[150] * v_[248] +
+ v_[323] * v_[58];
+ v_[248] = sin(x_in[5]);
+ v_[247] = cos(x_in[5]);
+ hes[17] = 0 -
+ (v_[124] * v_[273] + v_[298] * v_[97] + v_[125] * v_[269] + v_[299] * v_[93] + v_[118] * v_[278] +
+ v_[292] * v_[102] + v_[119] * v_[279] + v_[293] * v_[103] + v_[129] * v_[254] + v_[302] * v_[70] +
+ v_[131] * v_[238] + v_[304] * v_[45] + v_[120] * v_[249] + v_[294] * v_[59] + v_[182] * v_[232] +
+ v_[350] * v_[36] + v_[149] * v_[259] + v_[322] * v_[80] + v_[150] * v_[250] + v_[323] * v_[64] +
+ v_[130] * v_[245] + v_[347] * v_[55] + v_[173] * v_[228] + v_[326] * v_[71] + v_[140] * 0.184 +
+ (0 - v_[300]) * 0.02075) *
+ v_[248] +
+ (v_[125] * v_[273] + v_[299] * v_[97] + v_[119] * v_[278] + v_[293] * v_[102] + v_[131] * v_[254] +
+ v_[304] * v_[70] + v_[182] * v_[249] + v_[350] * v_[59] + v_[150] * v_[259] + v_[323] * v_[80] +
+ v_[173] * v_[245] + v_[326] * v_[55] -
+ (v_[124] * v_[269] + v_[298] * v_[93] + v_[129] * v_[238] + v_[302] * v_[45] + v_[149] * v_[250] +
+ v_[322] * v_[64]) +
+ v_[140] * 0.02075 + v_[300] * 0.184 -
+ (v_[118] * v_[279] + v_[292] * v_[103] + v_[120] * v_[232] + v_[294] * v_[36] + v_[130] * v_[228] +
+ v_[347] * v_[71])) *
+ v_[247];
+ v_[216] = v_[216] + v_[324];
+ hes[19] = v_[340] * v_[20] + v_[342] * v_[38] + v_[121] * v_[10] + v_[330] * v_[11] + v_[267] * v_[207] +
+ v_[235] * v_[1] + v_[216] * w_in[1] + v_[216] * w_in[1] + v_[246] * v_[208] + v_[345] * v_[2] +
+ v_[96] * v_[212] + v_[272] * v_[5];
+ v_[216] = w_in[6] * v_[4];
+ v_[246] = w_in[7] * v_[38] + v_[216] * v_[18];
+ v_[267] = w_in[7] * v_[10] + v_[216] * v_[9];
+ v_[345] = v_[246] * -1 + v_[267] * -0.304;
+ v_[235] = w_in[7] * v_[20] + v_[216] * v_[19];
+ v_[272] = w_in[7] * v_[11] + v_[216] * v_[10];
+ v_[330] = v_[235] * v_[28] + v_[272] * v_[43];
+ v_[121] = w_in[9] + v_[272] * -1;
+ v_[342] = w_in[8] + w_in[6] * v_[0];
+ v_[340] = v_[342] * v_[31] + v_[267] * v_[28];
+ v_[212] = v_[345] * v_[53] + v_[330] * v_[52] + v_[121] * v_[67] + v_[340] * v_[68];
+ v_[208] = v_[342] * v_[28] + v_[267] * v_[30];
+ v_[207] = w_in[10] + v_[208];
+ v_[96] = v_[121] * v_[54] + v_[340] * v_[53];
+ v_[1] = v_[212] + v_[207] * 0.02075 + v_[96] * -0.184;
+ v_[324] = v_[207] * v_[86] + v_[96] * v_[77];
+ v_[300] = v_[1] * 1.547475 + v_[324] * -0.038686875;
+ v_[140] = v_[300] + v_[212] * 2.1032 + v_[96] * -0.057838;
+ v_[326] = v_[235] * v_[30] + v_[272] * v_[42];
+ v_[347] = v_[345] * v_[62] + v_[330] * v_[53] + v_[121] * v_[60] + v_[340] * v_[61];
+ v_[350] = v_[121] * v_[53] + v_[340] * v_[52];
+ v_[294] = v_[326] * v_[79] + v_[347] * v_[77] + v_[350] * v_[78];
+ v_[323] = w_in[11] + v_[350];
+ v_[322] = v_[294] * 1.547475 + v_[323] * 0.038686875;
+ v_[304] = v_[326] * v_[77] + v_[347] * v_[76] + v_[350] * v_[81];
+ v_[302] = v_[304] * 1.547475;
+ v_[299] = v_[322] * v_[77] + v_[302] * v_[76] + v_[347] * 2.1032 + v_[350] * 0.057838;
+ v_[298] = v_[140] * v_[52] + v_[299] * v_[53] + v_[330] * 1.7423722 + v_[121] * 0.160298259823722 +
+ v_[208] * -1.52322944854339e-09;
+ v_[293] = v_[322] * v_[79] + v_[302] * v_[77] + v_[326] * 2.1032 + v_[326] * 1.7423722 + v_[121] * 0.008711861 +
+ v_[340] * 1.52322944854339e-09;
+ v_[292] =
+ v_[298] * v_[28] + v_[293] * v_[30] + v_[235] * 2.327 + v_[342] * -0.0055615274403 + v_[272] * -0.647967112;
+ v_[278] = v_[140] * v_[53] + v_[299] * v_[62] + v_[345] * 1.7423722 + v_[340] * -0.160298259823722 +
+ v_[208] * -0.008711861;
+ v_[279] = v_[207] * v_[77] + v_[96] * v_[76];
+ v_[273] = v_[294] * 0.038686875 + v_[323] * 0.009277 + v_[324] * -0.000829 + v_[279] * 1.5e-05 + v_[322] * v_[78] +
+ v_[302] * v_[81] + v_[347] * 0.057838 + v_[207] * -0.001243 + v_[350] * 0.029115 + v_[96] * -0.001387;
+ v_[269] = v_[1] * -0.038686875 + v_[323] * -0.000829 + v_[324] * 0.003227 + v_[279] * 0.000198;
+ v_[259] = v_[323] * 1.5e-05 + v_[324] * 0.000198 + v_[279] * 0.010737;
+ v_[254] = v_[300] * -0.184 + v_[269] * v_[77] + v_[259] * v_[76] + v_[212] * -0.057838 + v_[207] * -0.012652 +
+ v_[350] * -0.001387 + v_[96] * 0.019432;
+ v_[250] = v_[140] * v_[68] + v_[299] * v_[61] + v_[273] * v_[52] + v_[254] * v_[53] + v_[345] * -0.160298259823722 +
+ v_[326] * 1.52322944854339e-09 + v_[121] * -0.0022920002 + v_[340] * 0.01828449 + v_[208] * 0.0036857284;
+ v_[300] = v_[300] * 0.02075 + v_[269] * v_[86] + v_[259] * v_[77] + v_[207] * 0.011046 + v_[350] * -0.001243 +
+ v_[96] * -0.012652 + v_[345] * -0.008711861 + v_[330] * -1.52322944854339e-09 + v_[121] * -0.00021200017 +
+ v_[340] * 0.0036857284 + v_[208] * 0.081661;
+ v_[249] = v_[278] * -0.304 + v_[250] * v_[28] + v_[300] * v_[30] + v_[246] * 0.647967112 + v_[342] * -0.0037997814 +
+ v_[267] * 0.20986895 + v_[272] * 5.399998e-05;
+ v_[245] = v_[304] * 1.547475;
+ v_[238] = v_[294] * -1.547475;
+ v_[232] = v_[323] * 0.038686875;
+ v_[228] = v_[238] - v_[232];
+ v_[173] = v_[245] * v_[87] + v_[228] * v_[85];
+ v_[130] = v_[347] * 2.1032 + v_[350] * 0.057838;
+ v_[182] = 0 - v_[130];
+ v_[120] = v_[326] * 2.1032;
+ v_[150] = v_[173] + v_[182] * v_[71] + v_[120] * v_[55] + v_[299] * w_in[4];
+ v_[149] = 0 - v_[245];
+ v_[131] = v_[1] * 1.547475 + (0 - v_[324]) * 0.038686875;
+ v_[129] = v_[149] * v_[91] + v_[131] * v_[85] + v_[302] * w_in[5];
+ v_[232] = 0 - v_[238] + v_[232];
+ v_[238] = 0 - v_[131];
+ v_[125] = v_[232] * v_[91] + v_[238] * v_[87] - v_[322] * w_in[5];
+ v_[124] = v_[212] * -2.1032 + v_[96] * 0.057838;
+ v_[119] = 0 - v_[124];
+ v_[118] = 0 - v_[120];
+ v_[126] = v_[129] * v_[77] + v_[125] * v_[76] + v_[119] * v_[71] + v_[118] * v_[58] - v_[140] * w_in[4];
+ v_[343] = v_[326] * 1.7423722 + (0 - v_[121]) * -0.008711861 + v_[340] * 1.52322944854339e-09;
+ v_[349] = v_[330] * -1.7423722;
+ v_[291] = v_[121] * 0.160298259823722;
+ v_[327] = v_[208] * 1.52322944854339e-09;
+ v_[319] = v_[349] - v_[291] + v_[327];
+ v_[305] = v_[150] * v_[53] + v_[126] * v_[62] + v_[343] * v_[35] + v_[319] * v_[32];
+ v_[297] = (0 - v_[323]) * 1.5e-05 + v_[324] * 0.000198 + v_[279] * 0.00605;
+ v_[1] = v_[1] * 0.038686875 + v_[323] * -0.000829 + (0 - v_[324]) * -0.00146 + (0 - v_[279]) * 0.000198;
+ v_[304] = (0 - v_[304]) * 0.038686875;
+ v_[290] = v_[324] * 1.5e-05;
+ v_[243] = (0 - v_[279]) * -0.000829;
+ v_[241] = v_[304] + v_[290] + v_[243];
+ v_[212] = v_[212] * 0.057838 + (0 - v_[207]) * -0.012652 + v_[350] * -0.001387 + v_[96] * -0.018069;
+ v_[277] = v_[207] * 0.009683 + (0 - v_[350]) * -0.001243 + v_[96] * -0.012652;
+ v_[255] = (0 - v_[326]) * 0.057838;
+ v_[282] = (0 - v_[207]) * -0.001387;
+ v_[257] = (0 - v_[96]) * -0.001243;
+ v_[268] = v_[255] + v_[282] - v_[257];
+ v_[252] = v_[149] * v_[94] + v_[232] * v_[82] + v_[297] * v_[87] + v_[1] * v_[85] + v_[241] * v_[91] +
+ v_[241] * v_[91] + v_[129] * v_[78] + v_[125] * v_[81] + v_[130] * v_[64] + v_[118] * v_[80] +
+ v_[212] * v_[71] + v_[277] * v_[55] + v_[268] * v_[58] + v_[268] * v_[58] + v_[254] * w_in[4];
+ v_[279] = v_[294] * 0.038686875 + v_[323] * -0.00751 + (0 - v_[324]) * -0.000829 + v_[279] * 1.5e-05;
+ v_[323] = (0 - v_[323]) * 0.000198;
+ v_[243] = v_[304] + v_[323] - v_[243];
+ v_[304] = v_[245] * v_[89] + v_[238] * v_[82] + v_[297] * v_[91] + v_[279] * v_[85] + v_[243] * v_[87] +
+ v_[243] * v_[87] + v_[259] * w_in[5];
+ v_[323] = 0 - v_[323] - v_[290];
+ v_[290] = v_[228] * v_[89] + v_[131] * v_[94] + v_[1] * v_[91] + v_[279] * v_[87] + v_[323] * v_[85] +
+ v_[323] * v_[85] - v_[269] * w_in[5];
+ v_[294] = v_[347] * 0.057838 + v_[207] * -0.001243 + (0 - v_[350]) * -0.008386 + (0 - v_[96]) * -0.001387;
+ v_[324] = v_[350] * -0.012652;
+ v_[282] = v_[255] - v_[282] - v_[324];
+ v_[255] = v_[173] * -0.184 + v_[304] * v_[77] + v_[290] * v_[76] + v_[124] * v_[64] + v_[120] * v_[69] +
+ v_[294] * v_[71] + v_[277] * v_[58] + v_[282] * v_[55] + v_[282] * v_[55] - v_[273] * w_in[4];
+ v_[240] = v_[345] * 1.7423722 + (0 - v_[340]) * 0.160298259823722 + v_[208] * -0.008711861;
+ v_[239] = 0 - v_[240];
+ v_[237] = v_[345] * -0.008711861 + v_[330] * 1.52322944854339e-09 + (0 - v_[121]) * -0.00021200017 +
+ v_[340] * 0.0036857284 + v_[208] * 0.077424;
+ v_[233] = v_[330] * 0.160298259823722 + v_[326] * -0.008711861 + v_[121] * -0.06337651 +
+ (0 - v_[340]) * -0.0022920002 + v_[208] * -0.00021200017;
+ v_[231] = (0 - v_[345]) * 1.52322944854339e-09;
+ v_[230] = (0 - v_[326]) * 0.160298259823722;
+ v_[227] = (0 - v_[121]) * 0.0036857284;
+ v_[128] = (0 - v_[208]) * -0.0022920002;
+ v_[170] = v_[231] + v_[230] + v_[227] - v_[128];
+ v_[183] = v_[150] * v_[68] + v_[126] * v_[61] + v_[252] * v_[52] + v_[255] * v_[53] + v_[343] * v_[46] +
+ v_[239] * v_[64] + v_[237] * v_[47] + v_[233] * v_[32] + v_[170] * v_[35] + v_[170] * v_[35] +
+ v_[300] * w_in[3];
+ v_[324] = v_[324] + v_[257];
+ v_[257] = v_[345] * 0.160298259823722 + v_[326] * 1.52322944854339e-09 + v_[121] * -0.0022920002 +
+ (0 - v_[340]) * 0.01404749 + (0 - v_[208]) * 0.0036857284;
+ v_[116] = (0 - v_[330]) * -0.008711861;
+ v_[154] = v_[340] * -0.00021200017;
+ v_[227] = v_[231] + v_[116] - v_[227] - v_[154];
+ v_[173] = v_[173] * 0.02075 + v_[304] * v_[86] + v_[290] * v_[77] + v_[182] * v_[69] + v_[119] * v_[80] +
+ v_[212] * v_[58] + v_[294] * v_[55] + v_[324] * v_[71] + v_[324] * v_[71] + v_[319] * v_[46] +
+ v_[240] * v_[44] + v_[257] * v_[47] + v_[233] * v_[35] + v_[227] * v_[32] + v_[227] * v_[32] -
+ v_[250] * w_in[3];
+ v_[231] = (0 - v_[267]) * -0.0055615274403 + v_[272] * 0.01438086;
+ v_[146] = 0 - v_[231];
+ v_[132] = v_[235] * 0.647967112 + (0 - v_[342]) * -0.011715295 + v_[267] * 5.399998e-05 + v_[272] * -0.199538951;
+ v_[123] = v_[235] * -0.0055615274403 + v_[246] * 0.01438086 + v_[342] * 0.00750500000000001 +
+ (0 - v_[267]) * -0.0037997814 + v_[272] * -0.011715295;
+ v_[115] = (0 - v_[342]) * 5.399998e-05;
+ v_[50] = (0 - v_[246]) * -0.0055615274403 + v_[115] - (0 - v_[272]) * -0.0037997814;
+ v_[208] = v_[298] * v_[43] + v_[293] * v_[42] +
+ (v_[140] * v_[67] + v_[299] * v_[60] + v_[273] * v_[53] + v_[254] * v_[54] + v_[330] * 0.160298259823722 +
+ v_[326] * 0.008711861 + v_[121] * 0.09570849 + v_[340] * -0.0022920002 + v_[208] * -0.00021200017) *
+ -1 +
+ v_[235] * -0.647967112 + v_[342] * -0.011715295 + v_[267] * 5.399998e-05 + v_[272] * 0.20236395;
+ v_[48] = v_[305] * -0.304 + v_[183] * v_[28] + v_[173] * v_[30] + v_[146] * v_[39] + v_[132] * v_[23] +
+ v_[123] * v_[12] + v_[50] * v_[15] + v_[50] * v_[15] + v_[208] * w_in[2];
+ v_[101] = 0 - v_[343];
+ v_[145] = v_[150] * v_[52] + v_[126] * v_[53] + v_[101] * v_[47] + v_[240] * v_[32] + v_[293] * w_in[3];
+ v_[327] = 0 - v_[349] + v_[291] - v_[327];
+ v_[291] = v_[129] * v_[79] + v_[125] * v_[77] + v_[130] * v_[58] + v_[124] * v_[55] + v_[327] * v_[47] +
+ v_[239] * v_[35] - v_[298] * w_in[3];
+ v_[349] = 0 - (v_[246] * 2.327 + (0 - v_[342]) * 0.01438086 + v_[267] * 0.647967112);
+ v_[278] = v_[278] * -1 + v_[246] * 2.327 + v_[342] * -0.01438086 + v_[267] * 0.647967112;
+ v_[296] = v_[145] * v_[28] + v_[291] * v_[30] + v_[349] * v_[23] + v_[231] * v_[12] + v_[278] * w_in[2];
+ v_[337] = v_[342] * -0.0055615274403 - (v_[235] * -2.327 + v_[272] * 0.647967112);
+ v_[305] = v_[305] * -1 + v_[337] * v_[23] + v_[146] * v_[15] - v_[292] * w_in[2];
+ v_[154] = v_[116] + v_[230] + v_[154] + v_[128];
+ v_[246] =
+ v_[246] * 0.647967112 + v_[342] * -0.0037997814 + (0 - v_[267]) * -0.192033951 + (0 - v_[272]) * 5.399998e-05;
+ v_[115] = (0 - v_[235]) * 0.01438086 - v_[115] - v_[267] * -0.011715295;
+ v_[116] = v_[145] * v_[43] + v_[291] * v_[42] +
+ (v_[150] * v_[67] + v_[126] * v_[60] + v_[252] * v_[53] + v_[255] * v_[54] + v_[101] * v_[44] +
+ v_[327] * v_[64] + v_[237] * v_[35] + v_[257] * v_[32] + v_[154] * v_[47] + v_[154] * v_[47]) *
+ -1 +
+ v_[231] * v_[21] + v_[246] * v_[23] + v_[123] * v_[15] + v_[115] * v_[12] + v_[115] * v_[12] -
+ v_[249] * w_in[2];
+ v_[128] = 0 - v_[203];
+ v_[230] = -v_[128];
+ v_[331] = v_[251] * v_[5] + v_[230] * w_in[1];
+ v_[307] = -v_[331];
+ v_[306] = v_[128] * v_[3] + v_[307] * w_in[2];
+ v_[289] = v_[128] * v_[5] + v_[251] * w_in[1];
+ v_[242] = v_[251] * v_[3] + v_[289] * w_in[2];
+ v_[244] = 0.112 * v_[128];
+ v_[275] = -0.112 * v_[251];
+ v_[283] = 0.112 * v_[128];
+ v_[288] = v_[275] * v_[5] + v_[283] * w_in[1];
+ v_[284] = v_[251] * v_[17] + v_[244] * v_[3] + v_[288] * w_in[2];
+ v_[276] = -v_[23] * v_[288];
+ v_[236] = v_[289] * v_[23];
+ v_[221] = v_[331] * v_[12] + v_[12] * v_[331];
+ v_[219] = -1 * v_[242];
+ v_[218] = v_[30] * v_[289];
+ v_[217] = -v_[218];
+ v_[215] = v_[28] * v_[306] + v_[217] * w_in[3];
+ v_[214] = v_[28] * v_[289];
+ v_[213] = v_[30] * v_[306] + v_[214] * w_in[3];
+ v_[142] = -0.304 * v_[306] + -1 * v_[284];
+ v_[178] = 0.112 * v_[251];
+ v_[192] = v_[244] * v_[5] + v_[178] * w_in[1];
+ v_[122] = -v_[192];
+ v_[164] = v_[128] * v_[17] + v_[275] * v_[3] + v_[122] * w_in[2];
+ v_[158] = v_[43] * v_[331] + v_[28] * v_[288];
+ v_[134] = v_[30] * v_[164] + v_[42] * v_[242] + v_[158] * w_in[3];
+ v_[133] = -0.304 * v_[289] + -1 * v_[192];
+ v_[114] = -1 * v_[331];
+ v_[49] = v_[214] * v_[46] + v_[35] * v_[133] - (v_[114] * v_[44] + v_[47] * v_[158]);
+ v_[51] = v_[214] * v_[47] + v_[35] * v_[114];
+ v_[99] = v_[114] * v_[47] + v_[47] * v_[114];
+ v_[310] = v_[218] * v_[32] + v_[32] * v_[218];
+ v_[308] = v_[53] * v_[214] + v_[54] * v_[114];
+ v_[271] = -v_[308];
+ v_[262] = v_[53] * v_[219] + v_[52] * v_[215] + v_[271] * w_in[4];
+ v_[287] = v_[52] * v_[214] + v_[53] * v_[114];
+ v_[281] = v_[54] * v_[219] + v_[53] * v_[215] + v_[287] * w_in[4];
+ v_[285] = v_[42] * v_[331] + v_[30] * v_[288];
+ v_[220] = -v_[285];
+ v_[209] = v_[28] * v_[164] + v_[43] * v_[242] + v_[220] * w_in[3];
+ v_[201] = v_[67] * v_[114] + v_[68] * v_[214] + v_[53] * v_[133] + v_[52] * v_[158];
+ v_[136] = v_[60] * v_[219] + v_[61] * v_[215] + v_[62] * v_[142] + v_[53] * v_[209] + v_[201] * w_in[4];
+ v_[160] = v_[287] * v_[64] + v_[58] * v_[285] - (v_[218] * v_[69] + v_[71] * v_[201]);
+ v_[117] = v_[287] * v_[71] + v_[58] * v_[218];
+ v_[169] = v_[218] * v_[71] + v_[71] * v_[218];
+ v_[167] = v_[308] * v_[55] + v_[55] * v_[308];
+ v_[137] = v_[60] * v_[114] + v_[61] * v_[214] + v_[62] * v_[133] + v_[53] * v_[158];
+ v_[135] = v_[77] * v_[285] + v_[76] * v_[137] + v_[81] * v_[287];
+ v_[95] = -v_[135];
+ v_[339] = v_[79] * v_[134] + v_[77] * v_[136] + v_[78] * v_[262] + v_[95] * w_in[5];
+ v_[211] = v_[76] * v_[308] + v_[77] * v_[218];
+ v_[206] = v_[77] * v_[308] + v_[86] * v_[218];
+ v_[205] = v_[211] * v_[87] + v_[85] * v_[206];
+ v_[265] = 0.02075 * v_[218] + -0.184 * v_[308] + v_[201];
+ v_[225] = v_[211] * v_[89] + v_[85] * v_[265];
+ v_[258] = v_[287] * v_[82] + v_[91] * v_[135];
+ v_[286] = 1.547475 * v_[339] + 0.038686875 * v_[262] + 0.038686875 * v_[205] + -1.547475 * (v_[225] - v_[258]);
+ v_[256] = v_[79] * v_[285] + v_[77] * v_[137] + v_[78] * v_[287];
+ v_[280] = v_[287] * v_[91] + v_[91] * v_[287];
+ v_[226] = v_[206] * v_[87] + v_[87] * v_[206];
+ v_[224] = 1.547475 * (v_[206] * v_[89] + v_[87] * v_[265] - (v_[287] * v_[94] + v_[91] * v_[256])) +
+ 1.547475 * (v_[77] * v_[134] + v_[76] * v_[136] + v_[81] * v_[262] + v_[256] * w_in[5]) -
+ 0.038686875 * (v_[280] + v_[226]);
+ v_[223] = -v_[211];
+ v_[222] = v_[86] * v_[213] + v_[77] * v_[281] + v_[223] * w_in[5];
+ v_[210] = v_[77] * v_[213] + v_[76] * v_[281] + v_[206] * w_in[5];
+ v_[113] = v_[211] * v_[91] + v_[85] * v_[287];
+ v_[88] = v_[206] * v_[91] + v_[87] * v_[287];
+ v_[26] = v_[211] * v_[85] + v_[85] * v_[211];
+ v_[75] = v_[308] * v_[71] + v_[55] * v_[218];
+ v_[110] = v_[308] * v_[58] + v_[55] * v_[287];
+ v_[258] = -0.001243 * v_[213] + 0.029115 * v_[262] + -0.001387 * v_[281] + 0.057838 * v_[136] + 0.057838 * v_[160] +
+ -0.001387 * v_[117] + -0.012652 * (v_[169] - v_[167]) + v_[78] * v_[286] + v_[81] * v_[224] +
+ 0.009277 * v_[262] + -0.000829 * v_[222] + 1.5e-05 * v_[210] + 0.038686875 * v_[339] +
+ -0.00751 * v_[205] + 0.038686875 * (v_[258] - v_[225]) + -0.000829 * v_[113] - 1.5e-05 * v_[88] -
+ 0.000198 * (v_[226] - v_[26]) - -0.008386 * v_[75] - -0.001243 * v_[110];
+ v_[225] = -v_[137];
+ v_[339] = v_[67] * v_[219] + v_[68] * v_[215] + v_[53] * v_[142] + v_[52] * v_[209] + v_[225] * w_in[4];
+ v_[73] = v_[308] * v_[64] + v_[55] * v_[285] - (v_[218] * v_[80] + v_[71] * v_[137]);
+ v_[104] = 0.02075 * v_[213] + -0.184 * v_[281] + v_[339];
+ v_[63] = v_[211] * v_[94] + v_[85] * v_[256] - (v_[206] * v_[82] + v_[87] * v_[135]);
+ v_[26] = -0.000829 * v_[262] + 0.003227 * v_[222] + 0.000198 * v_[210] + -0.038686875 * v_[104] +
+ 0.000198 * v_[88] + 1.5e-05 * (v_[280] - v_[26]) - 0.038686875 * v_[63] - -0.00146 * v_[113] -
+ -0.000829 * v_[205];
+ v_[88] = 1.5e-05 * v_[262] + 0.000198 * v_[222] + 0.010737 * v_[210] + 0.00605 * v_[88] + 1.5e-05 * v_[205] -
+ 0.000198 * v_[113] - -0.000829 * (v_[280] - v_[226]);
+ v_[63] = 1.547475 * v_[104] + -0.038686875 * v_[222] + 0.038686875 * v_[113] + 1.547475 * v_[63];
+ v_[104] = v_[287] * v_[58] + v_[58] * v_[287];
+ v_[169] = -0.012652 * v_[213] + -0.001387 * v_[262] + 0.019432 * v_[281] + -0.057838 * v_[339] +
+ -0.018069 * v_[117] + 0.057838 * v_[73] + -0.012652 * v_[110] + v_[77] * v_[26] + v_[76] * v_[88] +
+ -0.184 * v_[63] - -0.001387 * v_[75] - -0.001243 * (v_[169] - v_[104]);
+ v_[73] = 2.1032 * v_[339] + -0.057838 * v_[281] + 0.057838 * v_[117] + -2.1032 * v_[73] + v_[63];
+ v_[160] = 2.1032 * v_[136] + 0.057838 * v_[262] + 0.057838 * v_[75] + 2.1032 * v_[160] + v_[77] * v_[286] +
+ v_[76] * v_[224];
+ v_[339] = v_[218] * v_[44] + v_[32] * v_[158] - (v_[214] * v_[64] + v_[35] * v_[285]);
+ v_[113] = v_[218] * v_[47] + v_[32] * v_[114];
+ v_[222] = v_[218] * v_[35] + v_[32] * v_[214];
+ v_[210] = -0.0022920002 * v_[219] + 0.01828449 * v_[215] + 0.0036857284 * v_[213] + -0.160298259823722 * v_[142] +
+ 1.52322944854339e-09 * v_[134] + 1.52322944854339e-09 * v_[49] + 0.0036857284 * v_[51] +
+ -0.00021200017 * (v_[99] - v_[310]) + v_[52] * v_[258] + v_[53] * v_[169] + v_[68] * v_[73] +
+ v_[61] * v_[160] - 0.160298259823722 * v_[339] - 0.01404749 * v_[113] - -0.0022920002 * v_[222];
+ v_[226] = v_[218] * v_[46] + v_[32] * v_[133];
+ v_[280] = v_[114] * v_[64] + v_[47] * v_[285];
+ v_[205] = v_[214] * v_[35] + v_[35] * v_[214];
+ v_[63] = -0.00021200017 * v_[219] + 0.0036857284 * v_[215] + 0.081661 * v_[213] + -0.008711861 * v_[142] +
+ -1.52322944854339e-09 * v_[209] + -0.008711861 * v_[339] + 1.52322944854339e-09 * (v_[226] - v_[280]) +
+ 0.077424 * v_[51] + -0.00021200017 * v_[222] + 0.011046 * v_[213] + -0.001243 * v_[262] +
+ -0.012652 * v_[281] + -0.001243 * v_[75] + 0.009683 * v_[110] + v_[86] * v_[26] + v_[77] * v_[88] +
+ 0.02075 * v_[63] - -0.012652 * v_[117] - -0.001387 * (v_[104] - v_[167]) - 0.0036857284 * v_[113] -
+ -0.0022920002 * (v_[99] - v_[205]);
+ v_[339] = -0.160298259823722 * v_[215] + -0.008711861 * v_[213] + 1.7423722 * v_[142] + 1.7423722 * v_[339] +
+ 0.160298259823722 * v_[113] + -0.008711861 * v_[51] + v_[53] * v_[73] + v_[62] * v_[160] -
+ 1.52322944854339e-09 * (v_[205] + v_[310]);
+ v_[110] = v_[331] * v_[21] + v_[12] * v_[288] - (v_[289] * v_[39] + v_[15] * v_[192]);
+ v_[75] = v_[331] * v_[23];
+ v_[117] = v_[331] * v_[15] + v_[12] * v_[289];
+ v_[27] = 0.20986895 * v_[306] + 5.399998e-05 * v_[242] + 0.647967112 * v_[284] + 0.647967112 * v_[276] +
+ 5.399998e-05 * v_[236] + -0.011715295 * (0 - v_[221]) + v_[28] * v_[210] + v_[30] * v_[63] +
+ -0.304 * v_[339] - -0.0055615274403 * v_[110] - -0.192033951 * v_[75] - -0.0037997814 * v_[117];
+ v_[25] = w_in[7] * v_[178] + v_[216] * v_[244];
+ v_[24] = w_in[7] * v_[251] + v_[216] * v_[128];
+ v_[22] = v_[25] * -1 + v_[24] * -0.304;
+ v_[8] = w_in[7] * v_[283] + v_[216] * v_[275];
+ v_[188] = w_in[7] * v_[230] + v_[216] * v_[251];
+ v_[202] = v_[8] * v_[28] + v_[188] * v_[43];
+ v_[193] = v_[188] * -1;
+ v_[195] = v_[24] * v_[28];
+ v_[159] = v_[22] * v_[53] + v_[202] * v_[52] + v_[193] * v_[67] + v_[195] * v_[68];
+ v_[165] = v_[24] * v_[30];
+ v_[332] = v_[193] * v_[54] + v_[195] * v_[53];
+ v_[338] = v_[159] + v_[165] * 0.02075 + v_[332] * -0.184;
+ v_[234] = v_[165] * v_[86] + v_[332] * v_[77];
+ v_[229] = v_[338] * 1.547475 + v_[234] * -0.038686875;
+ v_[189] = v_[229] + v_[159] * 2.1032 + v_[332] * -0.057838;
+ v_[334] = v_[8] * v_[30] + v_[188] * v_[42];
+ v_[190] = v_[22] * v_[62] + v_[202] * v_[53] + v_[193] * v_[60] + v_[195] * v_[61];
+ v_[199] = v_[193] * v_[53] + v_[195] * v_[52];
+ v_[197] = v_[334] * v_[79] + v_[190] * v_[77] + v_[199] * v_[78];
+ v_[204] = v_[197] * 1.547475 + v_[199] * 0.038686875;
+ v_[198] = v_[334] * v_[77] + v_[190] * v_[76] + v_[199] * v_[81];
+ v_[196] = v_[198] * 1.547475;
+ v_[166] = v_[204] * v_[77] + v_[196] * v_[76] + v_[190] * 2.1032 + v_[199] * 0.057838;
+ v_[320] = v_[189] * v_[52] + v_[166] * v_[53] + v_[202] * 1.7423722 + v_[193] * 0.160298259823722 +
+ v_[165] * -1.52322944854339e-09;
+ v_[335] = v_[204] * v_[79] + v_[196] * v_[77] + v_[334] * 2.1032 + v_[334] * 1.7423722 + v_[193] * 0.008711861 +
+ v_[195] * 1.52322944854339e-09;
+ v_[329] = v_[320] * v_[28] + v_[335] * v_[30] + v_[8] * 2.327 + v_[188] * -0.647967112;
+ v_[194] = v_[189] * v_[53] + v_[166] * v_[62] + v_[22] * 1.7423722 + v_[195] * -0.160298259823722 +
+ v_[165] * -0.008711861;
+ v_[180] = v_[165] * v_[77] + v_[332] * v_[76];
+ v_[127] = v_[197] * 0.038686875 + v_[199] * 0.009277 + v_[234] * -0.000829 + v_[180] * 1.5e-05 + v_[204] * v_[78] +
+ v_[196] * v_[81] + v_[190] * 0.057838 + v_[165] * -0.001243 + v_[199] * 0.029115 + v_[332] * -0.001387;
+ v_[162] = v_[338] * -0.038686875 + v_[199] * -0.000829 + v_[234] * 0.003227 + v_[180] * 0.000198;
+ v_[156] = v_[199] * 1.5e-05 + v_[234] * 0.000198 + v_[180] * 0.010737;
+ v_[253] = v_[229] * -0.184 + v_[162] * v_[77] + v_[156] * v_[76] + v_[159] * -0.057838 + v_[165] * -0.012652 +
+ v_[199] * -0.001387 + v_[332] * 0.019432;
+ v_[151] = v_[189] * v_[68] + v_[166] * v_[61] + v_[127] * v_[52] + v_[253] * v_[53] + v_[22] * -0.160298259823722 +
+ v_[334] * 1.52322944854339e-09 + v_[193] * -0.0022920002 + v_[195] * 0.01828449 + v_[165] * 0.0036857284;
+ v_[229] = v_[229] * 0.02075 + v_[162] * v_[86] + v_[156] * v_[77] + v_[165] * 0.011046 + v_[199] * -0.001243 +
+ v_[332] * -0.012652 + v_[22] * -0.008711861 + v_[202] * -1.52322944854339e-09 + v_[193] * -0.00021200017 +
+ v_[195] * 0.0036857284 + v_[165] * 0.081661;
+ v_[179] = v_[194] * -0.304 + v_[151] * v_[28] + v_[229] * v_[30] + v_[25] * 0.647967112 + v_[24] * 0.20986895 +
+ v_[188] * 5.399998e-05;
+ v_[341] = v_[198] * 1.547475;
+ v_[333] = v_[197] * -1.547475;
+ v_[200] = v_[199] * 0.038686875;
+ v_[168] = v_[333] - v_[200];
+ v_[157] = v_[245] * v_[206] + v_[341] * v_[87] + v_[228] * v_[211] + v_[168] * v_[85];
+ v_[348] = v_[190] * 2.1032 + v_[199] * 0.057838;
+ v_[313] = 0 - v_[348];
+ v_[325] = v_[334] * 2.1032;
+ v_[317] = v_[157] + v_[182] * v_[218] + v_[313] * v_[71] + v_[120] * v_[308] + v_[325] * v_[55] + v_[166] * w_in[4];
+ v_[315] = 0 - v_[341];
+ v_[187] = v_[338] * 1.547475 + (0 - v_[234]) * 0.038686875;
+ v_[186] = v_[149] * v_[287] + v_[315] * v_[91] + v_[131] * v_[211] + v_[187] * v_[85] + v_[196] * w_in[5];
+ v_[200] = 0 - v_[333] + v_[200];
+ v_[333] = 0 - v_[187];
+ v_[176] = v_[232] * v_[287] + v_[200] * v_[91] + v_[238] * v_[206] + v_[333] * v_[87] - v_[204] * w_in[5];
+ v_[152] = v_[159] * -2.1032 + v_[332] * 0.057838;
+ v_[144] = 0 - v_[152];
+ v_[147] = 0 - v_[325];
+ v_[336] = v_[186] * v_[77] + v_[176] * v_[76] + v_[119] * v_[218] + v_[144] * v_[71] + v_[118] * v_[287] +
+ v_[147] * v_[58] - v_[189] * w_in[4];
+ v_[328] = v_[334] * 1.7423722 + (0 - v_[193]) * -0.008711861 + v_[195] * 1.52322944854339e-09;
+ v_[191] = v_[202] * -1.7423722;
+ v_[163] = v_[193] * 0.160298259823722;
+ v_[155] = v_[165] * 1.52322944854339e-09;
+ v_[301] = v_[191] - v_[163] + v_[155];
+ v_[295] = v_[317] * v_[53] + v_[336] * v_[62] + v_[343] * v_[214] + v_[328] * v_[35] + v_[319] * v_[218] +
+ v_[301] * v_[32];
+ v_[175] = (0 - v_[199]) * 1.5e-05 + v_[234] * 0.000198 + v_[180] * 0.00605;
+ v_[338] = v_[338] * 0.038686875 + v_[199] * -0.000829 + (0 - v_[234]) * -0.00146 + (0 - v_[180]) * 0.000198;
+ v_[198] = (0 - v_[198]) * 0.038686875;
+ v_[321] = v_[234] * 1.5e-05;
+ v_[314] = (0 - v_[180]) * -0.000829;
+ v_[270] = v_[198] + v_[321] + v_[314];
+ v_[270] = v_[149] * v_[256] + v_[315] * v_[94] + v_[232] * v_[135] + v_[200] * v_[82] + v_[297] * v_[206] +
+ v_[175] * v_[87] + v_[1] * v_[211] + v_[338] * v_[85] + v_[241] * v_[287] + v_[241] * v_[287] +
+ v_[270] * v_[91] + v_[270] * v_[91];
+ hes[35] = v_[322] * v_[95] + v_[204] * v_[83] + v_[302] * v_[256] + v_[196] * v_[94] + v_[269] * v_[223] +
+ v_[162] * v_[98] + v_[259] * v_[206] + v_[156] * v_[87] + v_[270];
+ v_[159] = v_[159] * 0.057838 + (0 - v_[165]) * -0.012652 + v_[199] * -0.001387 + v_[332] * -0.018069;
+ v_[223] = v_[165] * 0.009683 + (0 - v_[199]) * -0.001243 + v_[332] * -0.012652;
+ v_[95] = (0 - v_[334]) * 0.057838;
+ v_[200] = (0 - v_[165]) * -0.001387;
+ v_[315] = (0 - v_[332]) * -0.001243;
+ v_[241] = v_[95] + v_[200] - v_[315];
+ v_[241] = v_[270] + v_[186] * v_[78] + v_[176] * v_[81] + v_[130] * v_[285] + v_[348] * v_[64] + v_[118] * v_[137] +
+ v_[147] * v_[80] + v_[212] * v_[218] + v_[159] * v_[71] + v_[277] * v_[308] + v_[223] * v_[55] +
+ v_[268] * v_[287] + v_[268] * v_[287] + v_[241] * v_[58] + v_[241] * v_[58] + v_[253] * w_in[4];
+ v_[180] = v_[197] * 0.038686875 + v_[199] * -0.00751 + (0 - v_[234]) * -0.000829 + v_[180] * 1.5e-05;
+ v_[197] = (0 - v_[199]) * 0.000198;
+ v_[314] = v_[198] + v_[197] - v_[314];
+ v_[314] = v_[245] * v_[265] + v_[341] * v_[89] + v_[238] * v_[135] + v_[333] * v_[82] + v_[297] * v_[287] +
+ v_[175] * v_[91] + v_[279] * v_[211] + v_[180] * v_[85] + v_[243] * v_[206] + v_[243] * v_[206] +
+ v_[314] * v_[87] + v_[314] * v_[87] + v_[156] * w_in[5];
+ v_[197] = 0 - v_[197] - v_[321];
+ v_[197] = v_[228] * v_[265] + v_[168] * v_[89] + v_[131] * v_[256] + v_[187] * v_[94] + v_[1] * v_[287] +
+ v_[338] * v_[91] + v_[279] * v_[206] + v_[180] * v_[87] + v_[323] * v_[211] + v_[323] * v_[211] +
+ v_[197] * v_[85] + v_[197] * v_[85] - v_[162] * w_in[5];
+ v_[180] = v_[190] * 0.057838 + v_[165] * -0.001243 + (0 - v_[199]) * -0.008386 + (0 - v_[332]) * -0.001387;
+ v_[338] = v_[199] * -0.012652;
+ v_[200] = v_[95] - v_[200] - v_[338];
+ v_[200] = v_[157] * -0.184 + v_[314] * v_[77] + v_[197] * v_[76] + v_[124] * v_[285] + v_[152] * v_[64] +
+ v_[120] * v_[201] + v_[325] * v_[69] + v_[294] * v_[218] + v_[180] * v_[71] + v_[277] * v_[287] +
+ v_[223] * v_[58] + v_[282] * v_[308] + v_[282] * v_[308] + v_[200] * v_[55] + v_[200] * v_[55] -
+ v_[127] * w_in[4];
+ hes[28] = 0 -
+ (v_[330] * v_[73] + v_[202] * v_[106] + v_[340] * v_[258] + v_[195] * v_[92] + v_[140] * v_[209] +
+ v_[189] * v_[66] + v_[273] * v_[215] + v_[127] * v_[34] + v_[150] * v_[158] + v_[317] * v_[44] +
+ v_[252] * v_[214] + v_[241] * v_[35] +
+ (v_[121] * v_[73] + v_[193] * v_[106] + v_[140] * v_[219] + v_[189] * v_[29] + v_[150] * v_[114] +
+ v_[317] * v_[47]) *
+ 0.112 -
+ (v_[345] * v_[160] + v_[22] * v_[72] + v_[299] * v_[142] + v_[166] * v_[37] + v_[126] * v_[133] +
+ v_[336] * v_[46]) +
+ (v_[340] * v_[160] + v_[195] * v_[72] + v_[299] * v_[215] + v_[166] * v_[34] + v_[126] * v_[214] +
+ v_[336] * v_[35]) *
+ 0.112 -
+ (v_[121] * v_[169] + v_[193] * v_[74] + v_[254] * v_[219] + v_[253] * v_[29] + v_[255] * v_[114] +
+ v_[200] * v_[47])) *
+ v_[177] +
+ (v_[345] * v_[73] + v_[22] * v_[106] + v_[330] * v_[160] + v_[202] * v_[72] + v_[121] * v_[258] +
+ v_[193] * v_[92] + v_[340] * v_[169] + v_[195] * v_[74] + v_[140] * v_[142] + v_[189] * v_[37] +
+ v_[299] * v_[209] + v_[166] * v_[66] + v_[273] * v_[219] + v_[127] * v_[29] + v_[254] * v_[215] +
+ v_[253] * v_[34] + v_[150] * v_[133] + v_[317] * v_[46] + v_[126] * v_[158] + v_[336] * v_[44] +
+ v_[252] * v_[114] + v_[241] * v_[47] + v_[255] * v_[214] + v_[200] * v_[35] +
+ (v_[340] * v_[73] + v_[195] * v_[106] + v_[140] * v_[215] + v_[189] * v_[34] + v_[150] * v_[214] +
+ v_[317] * v_[35]) *
+ -0.112 +
+ (v_[121] * v_[160] + v_[193] * v_[72] + v_[299] * v_[219] + v_[166] * v_[29] + v_[126] * v_[114] +
+ v_[336] * v_[47]) *
+ 0.112) *
+ v_[318];
+ v_[142] = v_[22] * 1.7423722 + (0 - v_[195]) * 0.160298259823722 + v_[165] * -0.008711861;
+ v_[255] = 0 - v_[142];
+ v_[252] = v_[22] * -0.008711861 + v_[202] * 1.52322944854339e-09 + (0 - v_[193]) * -0.00021200017 +
+ v_[195] * 0.0036857284 + v_[165] * 0.077424;
+ v_[126] = v_[202] * 0.160298259823722 + v_[334] * -0.008711861 + v_[193] * -0.06337651 +
+ (0 - v_[195]) * -0.0022920002 + v_[165] * -0.00021200017;
+ v_[150] = (0 - v_[22]) * 1.52322944854339e-09;
+ v_[340] = (0 - v_[334]) * 0.160298259823722;
+ v_[121] = (0 - v_[193]) * 0.0036857284;
+ v_[330] = (0 - v_[165]) * -0.0022920002;
+ v_[345] = v_[150] + v_[340] + v_[121] - v_[330];
+ v_[345] = v_[317] * v_[68] + v_[336] * v_[61] + v_[241] * v_[52] + v_[200] * v_[53] + v_[343] * v_[133] +
+ v_[328] * v_[46] + v_[239] * v_[285] + v_[255] * v_[64] + v_[237] * v_[114] + v_[252] * v_[47] +
+ v_[233] * v_[218] + v_[126] * v_[32] + v_[170] * v_[214] + v_[170] * v_[214] + v_[345] * v_[35] +
+ v_[345] * v_[35] + v_[229] * w_in[3];
+ v_[338] = v_[338] + v_[315];
+ v_[338] = v_[157] * 0.02075 + v_[314] * v_[86] + v_[197] * v_[77] + v_[182] * v_[201] + v_[313] * v_[69] +
+ v_[119] * v_[137] + v_[144] * v_[80] + v_[212] * v_[287] + v_[159] * v_[58] + v_[294] * v_[308] +
+ v_[180] * v_[55] + v_[324] * v_[218] + v_[324] * v_[218] + v_[338] * v_[71] + v_[338] * v_[71];
+ hes[34] = v_[140] * v_[225] + v_[189] * v_[90] + v_[299] * v_[201] + v_[166] * v_[69] + v_[273] * v_[271] +
+ v_[127] * v_[56] + v_[254] * v_[287] + v_[253] * v_[58] + v_[338];
+ v_[22] = v_[22] * 0.160298259823722 + v_[334] * 1.52322944854339e-09 + v_[193] * -0.0022920002 +
+ (0 - v_[195]) * 0.01404749 + (0 - v_[165]) * 0.0036857284;
+ v_[225] = (0 - v_[202]) * -0.008711861;
+ v_[271] = v_[195] * -0.00021200017;
+ v_[121] = v_[150] + v_[225] - v_[121] - v_[271];
+ v_[121] = v_[338] + v_[319] * v_[133] + v_[301] * v_[46] + v_[240] * v_[158] + v_[142] * v_[44] +
+ v_[257] * v_[114] + v_[22] * v_[47] + v_[233] * v_[214] + v_[126] * v_[35] + v_[227] * v_[218] +
+ v_[227] * v_[218] + v_[121] * v_[32] + v_[121] * v_[32] - v_[151] * w_in[3];
+ v_[338] = (0 - v_[24]) * -0.0055615274403 + v_[188] * 0.01438086;
+ v_[126] = 0 - v_[338];
+ v_[301] = v_[8] * 0.647967112 + v_[24] * 5.399998e-05 + v_[188] * -0.199538951;
+ v_[133] = v_[8] * -0.0055615274403 + v_[25] * 0.01438086 + (0 - v_[24]) * -0.0037997814 + v_[188] * -0.011715295;
+ v_[227] = (0 - v_[25]) * -0.0055615274403;
+ v_[233] = (0 - v_[188]) * -0.0037997814;
+ v_[319] = v_[227] - v_[233];
+ v_[253] = v_[320] * v_[43] + v_[335] * v_[42] +
+ (v_[189] * v_[67] + v_[166] * v_[60] + v_[127] * v_[53] + v_[253] * v_[54] + v_[202] * 0.160298259823722 +
+ v_[334] * 0.008711861 + v_[193] * 0.09570849 + v_[195] * -0.0022920002 + v_[165] * -0.00021200017) *
+ -1 +
+ v_[8] * -0.647967112 + v_[24] * 5.399998e-05 + v_[188] * 0.20236395;
+ v_[319] = v_[295] * -0.304 + v_[345] * v_[28] + v_[121] * v_[30] + v_[146] * v_[192] + v_[126] * v_[39] +
+ v_[301] * v_[23] + v_[123] * v_[331] + v_[133] * v_[12] + v_[50] * v_[289] + v_[50] * v_[289] +
+ v_[319] * v_[15] + v_[319] * v_[15] + v_[253] * w_in[2];
+ v_[50] = -v_[23] * v_[192];
+ v_[127] = 0.160298259823722 * v_[219] + -1.52322944854339e-09 * v_[213] + 1.7423722 * v_[209] +
+ -1.7423722 * (v_[226] - v_[280]) + 0.160298259823722 * v_[222] + 1.52322944854339e-09 * v_[51] +
+ v_[52] * v_[73] + v_[53] * v_[160] - -0.008711861 * (v_[99] + v_[310]);
+ v_[104] = 0.008711861 * v_[219] + 1.52322944854339e-09 * v_[215] + 1.7423722 * v_[134] + 1.7423722 * v_[49] +
+ 1.52322944854339e-09 * v_[113] + -0.008711861 * v_[222] +
+ 2.1032 * (v_[308] * v_[69] + v_[55] * v_[201] - (v_[287] * v_[80] + v_[58] * v_[137])) +
+ 2.1032 * v_[134] + v_[79] * v_[286] + v_[77] * v_[224] - 0.160298259823722 * (v_[99] + v_[205]) -
+ 0.057838 * (v_[104] + v_[167]);
+ v_[221] = -0.647967112 * v_[242] + 2.327 * v_[164] + -2.327 * v_[50] + -0.0055615274403 * v_[117] +
+ 0.647967112 * v_[236] + v_[28] * v_[127] + v_[30] * v_[104] - 0.01438086 * v_[221];
+ v_[328] = 0 - v_[328];
+ v_[142] = v_[317] * v_[52] + v_[336] * v_[53] + v_[101] * v_[114] + v_[328] * v_[47] + v_[240] * v_[218] +
+ v_[142] * v_[32] + v_[335] * w_in[3];
+ v_[155] = 0 - v_[191] + v_[163] - v_[155];
+ v_[255] = v_[186] * v_[79] + v_[176] * v_[77] + v_[130] * v_[287] + v_[348] * v_[58] + v_[124] * v_[308] +
+ v_[152] * v_[55] + v_[327] * v_[114] + v_[155] * v_[47] + v_[239] * v_[214] + v_[255] * v_[35] -
+ v_[320] * w_in[3];
+ hes[27] = 0 -
+ (v_[235] * v_[127] + v_[8] * v_[112] + v_[342] * v_[63] + v_[267] * v_[210] + v_[24] * v_[100] +
+ v_[298] * v_[164] + v_[320] * v_[41] + v_[335] * v_[7] + v_[250] * v_[306] + v_[151] * v_[14] +
+ v_[229] * v_[6] + v_[145] * v_[288] + v_[142] * v_[21] + v_[183] * v_[289] + v_[345] * v_[15] +
+ v_[121] * v_[23] +
+ (v_[272] * v_[127] + v_[188] * v_[112] + v_[298] * v_[242] + v_[320] * v_[16] + v_[145] * v_[331] +
+ v_[142] * v_[12]) *
+ -0.304) *
+ v_[309] +
+ (v_[235] * v_[104] + v_[8] * v_[107] + v_[267] * v_[63] + v_[24] * v_[108] + v_[293] * v_[164] +
+ v_[335] * v_[41] + v_[300] * v_[306] + v_[229] * v_[14] + v_[291] * v_[288] + v_[255] * v_[21] +
+ v_[173] * v_[289] + v_[121] * v_[15] - v_[320] * v_[7] +
+ (v_[272] * v_[104] + v_[188] * v_[107] + v_[293] * v_[242] + v_[335] * v_[16] + v_[291] * v_[331] +
+ v_[255] * v_[12]) *
+ -0.304 -
+ (v_[342] * v_[210] + v_[151] * v_[6] + v_[345] * v_[23])) *
+ v_[161];
+ v_[63] = 0 - (v_[25] * 2.327 + v_[24] * 0.647967112);
+ v_[194] = v_[194] * -1 + v_[25] * 2.327 + v_[24] * 0.647967112;
+ v_[210] = v_[142] * v_[28] + v_[255] * v_[30] + v_[63] * v_[23] + v_[231] * v_[331] + v_[338] * v_[12] +
+ v_[194] * w_in[2];
+ v_[291] = v_[289] * v_[15] + v_[15] * v_[289];
+ v_[339] = 0.647967112 * v_[306] + 2.327 * v_[284] + 2.327 * v_[276] + 0.647967112 * v_[75] + 0.01438086 * v_[117] +
+ -1 * v_[339] - -0.0055615274403 * v_[291];
+ v_[276] = 0 - (v_[8] * -2.327 + v_[188] * 0.647967112);
+ v_[126] = v_[295] * -1 + v_[276] * v_[23] + v_[146] * v_[289] + v_[126] * v_[15] - v_[329] * w_in[2];
+ v_[291] =
+ 5.399998e-05 * v_[306] + 0.20236395 * v_[242] + -0.647967112 * v_[164] + 0.01438086 * v_[110] +
+ 0.647967112 * v_[50] + -0.199538951 * v_[236] + -0.011715295 * v_[117] + v_[43] * v_[127] + v_[42] * v_[104] +
+ -1 * (0.09570849 * v_[219] + -0.0022920002 * v_[215] + -0.00021200017 * v_[213] + 0.160298259823722 * v_[209] +
+ 0.008711861 * v_[134] + 0.160298259823722 * (v_[280] - v_[226]) + -0.06337651 * v_[222] +
+ -0.0022920002 * v_[113] + v_[53] * v_[258] + v_[54] * v_[169] + v_[67] * v_[73] + v_[60] * v_[160] -
+ -0.008711861 * v_[49] - -0.00021200017 * v_[51] - 0.0036857284 * (v_[205] - v_[310])) -
+ 5.399998e-05 * v_[75] - -0.0037997814 * (0 - v_[291]);
+ v_[271] = v_[225] + v_[340] + v_[271] + v_[330];
+ v_[271] = v_[317] * v_[67] + v_[336] * v_[60] + v_[241] * v_[53] + v_[200] * v_[54] + v_[101] * v_[158] +
+ v_[328] * v_[44] + v_[327] * v_[285] + v_[155] * v_[64] + v_[237] * v_[214] + v_[252] * v_[35] +
+ v_[257] * v_[218] + v_[22] * v_[32] + v_[154] * v_[114] + v_[154] * v_[114] + v_[271] * v_[47] +
+ v_[271] * v_[47];
+ hes[33] = v_[298] * v_[220] + v_[320] * v_[65] + v_[293] * v_[158] + v_[335] * v_[44] + v_[250] * v_[217] +
+ v_[151] * v_[33] + v_[300] * v_[214] + v_[229] * v_[35] + v_[271];
+ v_[335] = v_[25] * 0.647967112 + (0 - v_[24]) * -0.192033951 + (0 - v_[188]) * 5.399998e-05;
+ v_[320] = (0 - v_[8]) * 0.01438086;
+ v_[220] = v_[24] * -0.011715295;
+ v_[158] = v_[320] - v_[220];
+ v_[158] = v_[142] * v_[43] + v_[255] * v_[42] + v_[271] * -1 + v_[231] * v_[288] + v_[338] * v_[21] +
+ v_[335] * v_[23] + v_[123] * v_[289] + v_[133] * v_[15] + v_[115] * v_[331] + v_[115] * v_[331] +
+ v_[158] * v_[12] + v_[158] * v_[12] - v_[179] * w_in[2];
+ hes[26] =
+ (0 - (v_[216] * v_[109] + v_[292] * v_[17] + v_[249] * v_[3] + v_[48] * v_[5] +
+ (w_in[7] * v_[111] + v_[296] * w_in[1]) * 0.112 +
+ (v_[216] * v_[84] + v_[278] * v_[3] + v_[305] * v_[5]) * 0.112 -
+ (w_in[7] * v_[105] + v_[116] * w_in[1]))) *
+ v_[9] -
+ (v_[216] * v_[27] + v_[329] * v_[17] + v_[179] * v_[3] + v_[319] * v_[5] +
+ (w_in[7] * v_[221] + v_[210] * w_in[1]) * 0.112 +
+ (v_[216] * v_[339] + v_[194] * v_[3] + v_[126] * v_[5]) * 0.112 - (w_in[7] * v_[291] + v_[158] * w_in[1])) *
+ v_[203] +
+ (w_in[7] * v_[27] + v_[216] * v_[291] + v_[194] * v_[17] + v_[253] * v_[3] + v_[319] * w_in[1] +
+ v_[158] * v_[5] + (v_[216] * v_[221] + v_[329] * v_[3] + v_[210] * v_[5]) * -0.112 +
+ (w_in[7] * v_[339] + v_[126] * w_in[1]) * 0.112) *
+ v_[251] -
+ (w_in[7] * v_[109] + v_[216] * v_[105] + v_[278] * v_[17] + v_[208] * v_[3] + v_[48] * w_in[1] +
+ v_[116] * v_[5] + (v_[216] * v_[111] + v_[292] * v_[3] + v_[296] * v_[5]) * -0.112 +
+ (w_in[7] * v_[84] + v_[305] * w_in[1]) * 0.112) *
+ v_[10];
+ v_[291] = v_[350] * v_[286] + v_[199] * v_[93] + v_[322] * v_[262] + v_[204] * v_[57] + v_[129] * v_[287] +
+ v_[186] * v_[58];
+ v_[199] = v_[350] * v_[224] + v_[199] * v_[97] + v_[302] * v_[262] + v_[196] * v_[57] + v_[125] * v_[287] +
+ v_[176] * v_[58];
+ hes[29] = 0 -
+ (v_[326] * v_[224] + v_[334] * v_[97] + v_[347] * v_[286] + v_[190] * v_[93] + v_[207] * v_[88] +
+ v_[165] * v_[102] + v_[96] * v_[26] + v_[332] * v_[103] + v_[322] * v_[136] + v_[204] * v_[70] +
+ v_[302] * v_[134] + v_[196] * v_[45] + v_[269] * v_[281] + v_[162] * v_[59] + v_[259] * v_[213] +
+ v_[156] * v_[36] + v_[129] * v_[137] + v_[186] * v_[80] + v_[125] * v_[285] + v_[176] * v_[64] +
+ v_[304] * v_[308] + v_[314] * v_[55] + v_[290] * v_[218] + v_[197] * v_[71] + v_[291] * 0.184 +
+ (0 - v_[199]) * 0.02075) *
+ v_[248] +
+ (v_[347] * v_[224] + v_[190] * v_[97] + v_[96] * v_[88] + v_[332] * v_[102] + v_[302] * v_[136] +
+ v_[196] * v_[70] + v_[259] * v_[281] + v_[156] * v_[59] + v_[125] * v_[137] + v_[176] * v_[80] +
+ v_[290] * v_[308] + v_[197] * v_[55] -
+ (v_[326] * v_[286] + v_[334] * v_[93] + v_[322] * v_[134] + v_[204] * v_[45] + v_[129] * v_[285] +
+ v_[186] * v_[64]) +
+ v_[291] * 0.02075 + v_[199] * 0.184 -
+ (v_[207] * v_[26] + v_[165] * v_[103] + v_[269] * v_[213] + v_[162] * v_[36] + v_[304] * v_[218] +
+ v_[314] * v_[71])) *
+ v_[247];
+ v_[229] = v_[151] * v_[31] + v_[229] * v_[28] + v_[8] * -0.0055615274403 + v_[25] * -0.01438086 +
+ v_[24] * -0.0037997814 + v_[188] * -0.011715295;
+ v_[220] = v_[320] + v_[227] + v_[220] + v_[233];
+ v_[220] = v_[345] * v_[31] + v_[121] * v_[28] + v_[349] * v_[288] + v_[63] * v_[21] + v_[337] * v_[192] +
+ v_[276] * v_[39] + v_[132] * v_[289] + v_[301] * v_[15] + v_[246] * v_[331] + v_[335] * v_[12] +
+ v_[220] * v_[23] + v_[220] * v_[23];
+ hes[32] = v_[292] * v_[122] + v_[329] * v_[40] + v_[278] * v_[288] + v_[194] * v_[21] + v_[249] * v_[307] +
+ v_[179] * v_[13] + v_[208] * v_[289] + v_[253] * v_[15] + v_[220];
+ v_[194] = v_[292] * v_[275] + v_[329] * v_[19] + v_[278] * v_[244] + v_[194] * v_[18] + v_[249] * v_[128] +
+ v_[179] * v_[9] + v_[208] * v_[251] + v_[253] * v_[10];
+ hes[30] = (v_[296] * v_[275] + v_[210] * v_[19] + v_[305] * v_[244] + v_[126] * v_[18] + v_[48] * v_[128] +
+ v_[319] * v_[9] + v_[116] * v_[251] + v_[158] * v_[10] + v_[229] * w_in[1]) *
+ v_[4] +
+ (v_[220] - v_[194] * w_in[1]) * v_[0];
+ hes[31] = v_[296] * v_[283] + v_[210] * v_[20] + v_[305] * v_[178] + v_[126] * v_[38] + v_[48] * v_[251] +
+ v_[319] * v_[10] + v_[116] * v_[230] + v_[158] * v_[11] + v_[194] * v_[2] + v_[229] * v_[5];
+ v_[194] = w_in[6] * v_[4];
+ v_[229] = w_in[7] * v_[20] + v_[194] * v_[19];
+ v_[158] = w_in[8] + w_in[6] * v_[0];
+ v_[126] = w_in[7] * v_[10] + v_[194] * v_[9];
+ v_[210] = (w_in[7] * v_[38] + v_[194] * v_[18]) * -1 + v_[126] * -0.304;
+ v_[194] = w_in[7] * v_[11] + v_[194] * v_[10];
+ v_[319] = v_[229] * v_[28] + v_[194] * v_[43];
+ v_[178] = w_in[9] + v_[194] * -1;
+ v_[283] = v_[158] * v_[31] + v_[126] * v_[28];
+ v_[230] = v_[210] * v_[53] + v_[319] * v_[52] + v_[178] * v_[67] + v_[283] * v_[68];
+ v_[116] = v_[158] * v_[28] + v_[126] * v_[30];
+ v_[305] = w_in[10] + v_[116];
+ v_[296] = v_[178] * v_[54] + v_[283] * v_[53];
+ v_[48] = v_[230] + v_[305] * 0.02075 + v_[296] * -0.184;
+ v_[251] = v_[305] * v_[86] + v_[296] * v_[77];
+ v_[220] = v_[48] * 1.547475 + v_[251] * -0.038686875;
+ v_[275] = v_[220] + v_[230] * 2.1032 + v_[296] * -0.057838;
+ v_[244] = v_[229] * v_[30] + v_[194] * v_[42];
+ v_[128] = v_[210] * v_[62] + v_[319] * v_[53] + v_[178] * v_[60] + v_[283] * v_[61];
+ v_[253] = v_[178] * v_[53] + v_[283] * v_[52];
+ v_[179] = v_[244] * v_[79] + v_[128] * v_[77] + v_[253] * v_[78];
+ v_[329] = w_in[11] + v_[253];
+ v_[278] = v_[179] * 1.547475 + v_[329] * 0.038686875;
+ v_[208] = v_[244] * v_[77] + v_[128] * v_[76] + v_[253] * v_[81];
+ v_[249] = v_[208] * 1.547475;
+ v_[292] = v_[278] * v_[77] + v_[249] * v_[76] + v_[128] * 2.1032 + v_[253] * 0.057838;
+ v_[122] = v_[275] * v_[52] + v_[292] * v_[53] + v_[319] * 1.7423722 + v_[178] * 0.160298259823722 +
+ v_[116] * -1.52322944854339e-09;
+ v_[288] = v_[278] * v_[79] + v_[249] * v_[77] + v_[244] * 2.1032 + v_[244] * 1.7423722 + v_[178] * 0.008711861 +
+ v_[283] * 1.52322944854339e-09;
+ v_[289] = v_[305] * v_[77] + v_[296] * v_[76];
+ v_[307] = v_[179] * 0.038686875 + v_[329] * 0.009277 + v_[251] * -0.000829 + v_[289] * 1.5e-05 + v_[278] * v_[78] +
+ v_[249] * v_[81] + v_[128] * 0.057838 + v_[305] * -0.001243 + v_[253] * 0.029115 + v_[296] * -0.001387;
+ v_[335] = v_[48] * -0.038686875 + v_[329] * -0.000829 + v_[251] * 0.003227 + v_[289] * 0.000198;
+ v_[276] = v_[329] * 1.5e-05 + v_[251] * 0.000198 + v_[289] * 0.010737;
+ v_[63] = v_[220] * -0.184 + v_[335] * v_[77] + v_[276] * v_[76] + v_[230] * -0.057838 + v_[305] * -0.012652 +
+ v_[253] * -0.001387 + v_[296] * 0.019432;
+ v_[301] = v_[275] * v_[68] + v_[292] * v_[61] + v_[307] * v_[52] + v_[63] * v_[53] + v_[210] * -0.160298259823722 +
+ v_[244] * 1.52322944854339e-09 + v_[178] * -0.0022920002 + v_[283] * 0.01828449 + v_[116] * 0.0036857284;
+ v_[220] = v_[220] * 0.02075 + v_[335] * v_[86] + v_[276] * v_[77] + v_[305] * 0.011046 + v_[253] * -0.001243 +
+ v_[296] * -0.012652 + v_[210] * -0.008711861 + v_[319] * -1.52322944854339e-09 +
+ v_[178] * -0.00021200017 + v_[283] * 0.0036857284 + v_[116] * 0.081661;
+ v_[121] = v_[208] * 1.547475;
+ v_[345] = v_[179] * -1.547475;
+ v_[192] = v_[329] * 0.038686875;
+ v_[331] = v_[345] - v_[192];
+ v_[246] = v_[121] * v_[87] + v_[331] * v_[85];
+ v_[337] = v_[128] * 2.1032 + v_[253] * 0.057838;
+ v_[349] = 0 - v_[337];
+ v_[132] = v_[244] * 2.1032;
+ v_[39] = v_[246] + v_[349] * v_[71] + v_[132] * v_[55] + v_[292] * w_in[4];
+ v_[320] = 0 - v_[121];
+ v_[233] = v_[48] * 1.547475 + (0 - v_[251]) * 0.038686875;
+ v_[227] = v_[320] * v_[91] + v_[233] * v_[85] + v_[249] * w_in[5];
+ v_[192] = 0 - v_[345] + v_[192];
+ v_[345] = 0 - v_[233];
+ v_[151] = v_[192] * v_[91] + v_[345] * v_[87] - v_[278] * w_in[5];
+ v_[188] = v_[230] * -2.1032 + v_[296] * 0.057838;
+ v_[8] = 0 - v_[188];
+ v_[24] = 0 - v_[132];
+ v_[25] = v_[227] * v_[77] + v_[151] * v_[76] + v_[8] * v_[71] + v_[24] * v_[58] - v_[275] * w_in[4];
+ v_[199] = v_[244] * 1.7423722 + (0 - v_[178]) * -0.008711861 + v_[283] * 1.52322944854339e-09;
+ v_[291] = 0 - v_[199];
+ v_[197] = v_[210] * 1.7423722 + (0 - v_[283]) * 0.160298259823722 + v_[116] * -0.008711861;
+ v_[314] = v_[39] * v_[52] + v_[25] * v_[53] + v_[291] * v_[47] + v_[197] * v_[32] + v_[288] * w_in[3];
+ v_[176] = (0 - v_[329]) * 1.5e-05 + v_[251] * 0.000198 + v_[289] * 0.00605;
+ v_[48] = v_[48] * 0.038686875 + v_[329] * -0.000829 + (0 - v_[251]) * -0.00146 + (0 - v_[289]) * 0.000198;
+ v_[208] = (0 - v_[208]) * 0.038686875;
+ v_[186] = v_[251] * 1.5e-05;
+ v_[156] = (0 - v_[289]) * -0.000829;
+ v_[162] = v_[208] + v_[186] + v_[156];
+ v_[230] = v_[230] * 0.057838 + (0 - v_[305]) * -0.012652 + v_[253] * -0.001387 + v_[296] * -0.018069;
+ v_[196] = v_[305] * 0.009683 + (0 - v_[253]) * -0.001243 + v_[296] * -0.012652;
+ v_[204] = (0 - v_[244]) * 0.057838;
+ v_[190] = (0 - v_[305]) * -0.001387;
+ v_[334] = (0 - v_[296]) * -0.001243;
+ v_[332] = v_[204] + v_[190] - v_[334];
+ v_[165] = v_[320] * v_[94] + v_[192] * v_[82] + v_[176] * v_[87] + v_[48] * v_[85] + v_[162] * v_[91] +
+ v_[162] * v_[91] + v_[227] * v_[78] + v_[151] * v_[81] + v_[337] * v_[64] + v_[24] * v_[80] +
+ v_[230] * v_[71] + v_[196] * v_[55] + v_[332] * v_[58] + v_[332] * v_[58] + v_[63] * w_in[4];
+ v_[289] = v_[179] * 0.038686875 + v_[329] * -0.00751 + (0 - v_[251]) * -0.000829 + v_[289] * 1.5e-05;
+ v_[329] = (0 - v_[329]) * 0.000198;
+ v_[156] = v_[208] + v_[329] - v_[156];
+ v_[208] = v_[121] * v_[89] + v_[345] * v_[82] + v_[176] * v_[91] + v_[289] * v_[85] + v_[156] * v_[87] +
+ v_[156] * v_[87] + v_[276] * w_in[5];
+ v_[329] = 0 - v_[329] - v_[186];
+ v_[186] = v_[331] * v_[89] + v_[233] * v_[94] + v_[48] * v_[91] + v_[289] * v_[87] + v_[329] * v_[85] +
+ v_[329] * v_[85] - v_[335] * w_in[5];
+ v_[179] = v_[128] * 0.057838 + v_[305] * -0.001243 + (0 - v_[253]) * -0.008386 + (0 - v_[296]) * -0.001387;
+ v_[251] = v_[253] * -0.012652;
+ v_[190] = v_[204] - v_[190] - v_[251];
+ v_[204] = v_[246] * -0.184 + v_[208] * v_[77] + v_[186] * v_[76] + v_[188] * v_[64] + v_[132] * v_[69] +
+ v_[179] * v_[71] + v_[196] * v_[58] + v_[190] * v_[55] + v_[190] * v_[55] - v_[307] * w_in[4];
+ v_[88] = 0 - v_[197];
+ v_[26] = v_[210] * -0.008711861 + v_[319] * 1.52322944854339e-09 + (0 - v_[178]) * -0.00021200017 +
+ v_[283] * 0.0036857284 + v_[116] * 0.077424;
+ v_[224] = v_[319] * 0.160298259823722 + v_[244] * -0.008711861 + v_[178] * -0.06337651 +
+ (0 - v_[283]) * -0.0022920002 + v_[116] * -0.00021200017;
+ v_[286] = (0 - v_[210]) * 1.52322944854339e-09;
+ v_[137] = (0 - v_[178]) * 0.0036857284;
+ v_[136] = v_[286] + (0 - v_[244]) * 0.160298259823722 + v_[137] - (0 - v_[116]) * -0.0022920002;
+ v_[285] = v_[39] * v_[68] + v_[25] * v_[61] + v_[165] * v_[52] + v_[204] * v_[53] + v_[199] * v_[46] +
+ v_[88] * v_[64] + v_[26] * v_[47] + v_[224] * v_[32] + v_[136] * v_[35] + v_[136] * v_[35] +
+ v_[220] * w_in[3];
+ v_[251] = v_[251] + v_[334];
+ v_[334] = v_[319] * -1.7423722;
+ v_[281] = v_[178] * 0.160298259823722;
+ v_[308] = v_[116] * 1.52322944854339e-09;
+ v_[134] = v_[334] - v_[281] + v_[308];
+ v_[116] = v_[210] * 0.160298259823722 + v_[244] * 1.52322944854339e-09 + v_[178] * -0.0022920002 +
+ (0 - v_[283]) * 0.01404749 + (0 - v_[116]) * 0.0036857284;
+ v_[137] = v_[286] + (0 - v_[319]) * -0.008711861 - v_[137] - v_[283] * -0.00021200017;
+ v_[246] = v_[246] * 0.02075 + v_[208] * v_[86] + v_[186] * v_[77] + v_[349] * v_[69] + v_[8] * v_[80] +
+ v_[230] * v_[58] + v_[179] * v_[55] + v_[251] * v_[71] + v_[251] * v_[71] + v_[134] * v_[46] +
+ v_[197] * v_[44] + v_[116] * v_[47] + v_[224] * v_[35] + v_[137] * v_[32] + v_[137] * v_[32] -
+ v_[301] * w_in[3];
+ v_[286] = 0 - v_[309];
+ v_[213] = -v_[161];
+ v_[218] = v_[286] * v_[15] + v_[213] * v_[23];
+ v_[290] = v_[286] * v_[6] + v_[161] * v_[14] + v_[218] * w_in[3];
+ v_[304] = -0.304 * v_[286];
+ v_[125] = -0.304 * v_[161];
+ v_[129] = v_[125] * v_[12] + v_[161] * v_[21];
+ v_[259] = -v_[129];
+ v_[269] = (-v_[161]) * v_[7] + v_[286] * v_[41] + v_[304] * v_[16] + v_[259] * w_in[3];
+ v_[302] = v_[161] * v_[15] + v_[286] * v_[23];
+ v_[322] = v_[302] * v_[46];
+ v_[347] = v_[47] * v_[129];
+ v_[326] = v_[302] * v_[35] + v_[32] * v_[218];
+ v_[96] = v_[218] * v_[47];
+ v_[207] = -v_[302];
+ v_[287] = v_[213] * v_[6] + v_[286] * v_[14] + v_[207] * w_in[3];
+ v_[262] = v_[304] * v_[12] + v_[286] * v_[21];
+ v_[350] = v_[61] * v_[218] + v_[53] * v_[262];
+ v_[339] = -v_[350];
+ v_[221] = v_[68] * v_[287] + v_[52] * v_[269] + v_[339] * w_in[4];
+ v_[27] = v_[52] * v_[218];
+ v_[216] = v_[53] * v_[287] + v_[27] * w_in[4];
+ v_[203] = v_[27] * v_[71] + v_[58] * v_[302];
+ v_[84] = v_[53] * v_[218];
+ v_[111] = v_[84] * v_[64] + v_[55] * v_[129] - (v_[302] * v_[80] + v_[71] * v_[350]);
+ v_[105] = 0.02075 * v_[290] + -0.184 * v_[216] + v_[221];
+ v_[109] = v_[76] * v_[84] + v_[77] * v_[302];
+ v_[17] = -v_[109];
+ v_[3] = v_[86] * v_[290] + v_[77] * v_[216] + v_[17] * w_in[5];
+ v_[271] = v_[109] * v_[91] + v_[85] * v_[27];
+ v_[255] = v_[79] * v_[129] + v_[77] * v_[350] + v_[78] * v_[27];
+ v_[142] = v_[77] * v_[84] + v_[86] * v_[302];
+ v_[133] = v_[77] * v_[129] + v_[76] * v_[350] + v_[81] * v_[27];
+ v_[338] = v_[109] * v_[94] + v_[85] * v_[255] - (v_[142] * v_[82] + v_[87] * v_[133]);
+ v_[115] = 1.547475 * v_[105] + -0.038686875 * v_[3] + 0.038686875 * v_[271] + 1.547475 * v_[338];
+ v_[123] = 2.1032 * v_[221] + -0.057838 * v_[216] + 0.057838 * v_[203] + -2.1032 * v_[111] + v_[115];
+ v_[231] = v_[68] * v_[218] + v_[52] * v_[262];
+ v_[214] = v_[61] * v_[287] + v_[53] * v_[269] + v_[231] * w_in[4];
+ v_[217] = -v_[84];
+ v_[300] = v_[52] * v_[287] + v_[217] * w_in[4];
+ v_[250] = v_[84] * v_[71] + v_[55] * v_[302];
+ v_[293] = v_[27] * v_[64] + v_[58] * v_[129] - (v_[302] * v_[69] + v_[71] * v_[231]);
+ v_[298] = v_[286] * v_[7] + v_[161] * v_[41] + v_[125] * v_[16] + v_[262] * w_in[3];
+ v_[155] = -v_[133];
+ v_[328] = v_[79] * v_[298] + v_[77] * v_[214] + v_[78] * v_[300] + v_[155] * w_in[5];
+ v_[22] = v_[109] * v_[87] + v_[85] * v_[142];
+ v_[252] = 0.02075 * v_[302] + -0.184 * v_[84] + v_[231];
+ v_[200] = v_[109] * v_[89] + v_[85] * v_[252];
+ v_[241] = v_[27] * v_[82] + v_[91] * v_[133];
+ v_[336] = 1.547475 * v_[328] + 0.038686875 * v_[300] + 0.038686875 * v_[22] + -1.547475 * (v_[200] - v_[241]);
+ v_[317] = v_[27] * v_[91] + v_[91] * v_[27];
+ v_[114] = v_[142] * v_[87] + v_[87] * v_[142];
+ v_[154] = 1.547475 * (v_[142] * v_[89] + v_[87] * v_[252] - (v_[27] * v_[94] + v_[91] * v_[255])) +
+ 1.547475 * (v_[77] * v_[298] + v_[76] * v_[214] + v_[81] * v_[300] + v_[255] * w_in[5]) -
+ 0.038686875 * (v_[317] + v_[114]);
+ v_[327] = 2.1032 * v_[214] + 0.057838 * v_[300] + 0.057838 * v_[250] + 2.1032 * v_[293] + v_[77] * v_[336] +
+ v_[76] * v_[154];
+ v_[101] = v_[302] * v_[32] + v_[32] * v_[302];
+ v_[257] = -1.52322944854339e-09 * v_[290] + 1.7423722 * v_[269] + -1.7423722 * (v_[322] - v_[347]) +
+ 0.160298259823722 * v_[326] + 1.52322944854339e-09 * v_[96] + v_[52] * v_[123] + v_[53] * v_[327] -
+ -0.008711861 * v_[101];
+ v_[237] = v_[302] * v_[44] + v_[32] * v_[262] - (v_[218] * v_[64] + v_[35] * v_[129]);
+ v_[225] = v_[84] * v_[58] + v_[55] * v_[27];
+ v_[330] = v_[77] * v_[290] + v_[76] * v_[216] + v_[142] * w_in[5];
+ v_[340] = v_[142] * v_[91] + v_[87] * v_[27];
+ v_[104] = v_[109] * v_[85] + v_[85] * v_[109];
+ v_[338] = -0.000829 * v_[300] + 0.003227 * v_[3] + 0.000198 * v_[330] + -0.038686875 * v_[105] +
+ 0.000198 * v_[340] + 1.5e-05 * (v_[317] - v_[104]) - 0.038686875 * v_[338] - -0.00146 * v_[271] -
+ -0.000829 * v_[22];
+ v_[317] = 1.5e-05 * v_[300] + 0.000198 * v_[3] + 0.010737 * v_[330] + 0.00605 * v_[340] + 1.5e-05 * v_[22] -
+ 0.000198 * v_[271] - -0.000829 * (v_[317] - v_[114]);
+ v_[105] = v_[27] * v_[58] + v_[58] * v_[27];
+ v_[127] = v_[84] * v_[55] + v_[55] * v_[84];
+ v_[50] = v_[302] * v_[47];
+ v_[117] = v_[218] * v_[35] + v_[35] * v_[218];
+ v_[347] = 0.0036857284 * v_[287] + 0.081661 * v_[290] + -1.52322944854339e-09 * v_[269] + -0.008711861 * v_[237] +
+ 1.52322944854339e-09 * (v_[322] - v_[347]) + 0.077424 * v_[96] + -0.00021200017 * v_[326] +
+ 0.011046 * v_[290] + -0.001243 * v_[300] + -0.012652 * v_[216] + -0.001243 * v_[250] +
+ 0.009683 * v_[225] + v_[86] * v_[338] + v_[77] * v_[317] + 0.02075 * v_[115] - -0.012652 * v_[203] -
+ -0.001387 * (v_[105] - v_[127]) - 0.0036857284 * v_[50] - -0.0022920002 * (0 - v_[117]);
+ v_[322] = v_[218] * v_[46] - v_[47] * v_[262];
+ v_[75] = v_[302] * v_[71] + v_[71] * v_[302];
+ v_[104] = -0.001243 * v_[290] + 0.029115 * v_[300] + -0.001387 * v_[216] + 0.057838 * v_[214] + 0.057838 * v_[293] +
+ -0.001387 * v_[203] + -0.012652 * (v_[75] - v_[127]) + v_[78] * v_[336] + v_[81] * v_[154] +
+ 0.009277 * v_[300] + -0.000829 * v_[3] + 1.5e-05 * v_[330] + 0.038686875 * v_[328] + -0.00751 * v_[22] +
+ 0.038686875 * (v_[241] - v_[200]) + -0.000829 * v_[271] - 1.5e-05 * v_[340] -
+ 0.000198 * (v_[114] - v_[104]) - -0.008386 * v_[250] - -0.001243 * v_[225];
+ v_[75] = -0.012652 * v_[290] + -0.001387 * v_[300] + 0.019432 * v_[216] + -0.057838 * v_[221] +
+ -0.018069 * v_[203] + 0.057838 * v_[111] + -0.012652 * v_[225] + v_[77] * v_[338] + v_[76] * v_[317] +
+ -0.184 * v_[115] - -0.001387 * v_[250] - -0.001243 * (v_[75] - v_[105]);
+ v_[237] = 0.01828449 * v_[287] + 0.0036857284 * v_[290] + 1.52322944854339e-09 * v_[298] +
+ 1.52322944854339e-09 * v_[322] + 0.0036857284 * v_[96] + -0.00021200017 * (0 - v_[101]) +
+ v_[52] * v_[104] + v_[53] * v_[75] + v_[68] * v_[123] + v_[61] * v_[327] - 0.160298259823722 * v_[237] -
+ 0.01404749 * v_[50] - -0.0022920002 * v_[326];
+ v_[101] = v_[229] * v_[286] + v_[194] * v_[304];
+ v_[96] = v_[158] * v_[213] + v_[126] * v_[286];
+ v_[225] = v_[101] * v_[52] + v_[96] * v_[68];
+ v_[250] = v_[158] * v_[286] + v_[126] * v_[161];
+ v_[115] = v_[96] * v_[53];
+ v_[111] = v_[225] + v_[250] * 0.02075 + v_[115] * -0.184;
+ v_[203] = v_[250] * v_[86] + v_[115] * v_[77];
+ v_[221] = v_[111] * 1.547475 + v_[203] * -0.038686875;
+ v_[340] = v_[221] + v_[225] * 2.1032 + v_[115] * -0.057838;
+ v_[330] = v_[229] * v_[161] + v_[194] * v_[125];
+ v_[114] = v_[101] * v_[53] + v_[96] * v_[61];
+ v_[241] = v_[96] * v_[52];
+ v_[200] = v_[330] * v_[79] + v_[114] * v_[77] + v_[241] * v_[78];
+ v_[22] = v_[200] * 1.547475 + v_[241] * 0.038686875;
+ v_[328] = v_[330] * v_[77] + v_[114] * v_[76] + v_[241] * v_[81];
+ v_[293] = v_[328] * 1.547475;
+ v_[271] = v_[22] * v_[77] + v_[293] * v_[76] + v_[114] * 2.1032 + v_[241] * 0.057838;
+ v_[3] = v_[340] * v_[52] + v_[271] * v_[53] + v_[101] * 1.7423722 + v_[250] * -1.52322944854339e-09;
+ v_[110] =
+ v_[22] * v_[79] + v_[293] * v_[77] + v_[330] * 2.1032 + v_[330] * 1.7423722 + v_[96] * 1.52322944854339e-09;
+ v_[205] = v_[250] * v_[77] + v_[115] * v_[76];
+ v_[280] = v_[200] * 0.038686875 + v_[241] * 0.009277 + v_[203] * -0.000829 + v_[205] * 1.5e-05 + v_[22] * v_[78] +
+ v_[293] * v_[81] + v_[114] * 0.057838 + v_[250] * -0.001243 + v_[241] * 0.029115 + v_[115] * -0.001387;
+ v_[226] = v_[111] * -0.038686875 + v_[241] * -0.000829 + v_[203] * 0.003227 + v_[205] * 0.000198;
+ v_[222] = v_[241] * 1.5e-05 + v_[203] * 0.000198 + v_[205] * 0.010737;
+ v_[113] = v_[221] * -0.184 + v_[226] * v_[77] + v_[222] * v_[76] + v_[225] * -0.057838 + v_[250] * -0.012652 +
+ v_[241] * -0.001387 + v_[115] * 0.019432;
+ v_[160] = v_[340] * v_[68] + v_[271] * v_[61] + v_[280] * v_[52] + v_[113] * v_[53] +
+ v_[330] * 1.52322944854339e-09 + v_[96] * 0.01828449 + v_[250] * 0.0036857284;
+ v_[221] = v_[221] * 0.02075 + v_[226] * v_[86] + v_[222] * v_[77] + v_[250] * 0.011046 + v_[241] * -0.001243 +
+ v_[115] * -0.012652 + v_[101] * -1.52322944854339e-09 + v_[96] * 0.0036857284 + v_[250] * 0.081661;
+ v_[73] = v_[328] * 1.547475;
+ v_[169] = v_[200] * -1.547475;
+ v_[258] = v_[241] * 0.038686875;
+ v_[209] = v_[169] - v_[258];
+ v_[310] = v_[121] * v_[142] + v_[73] * v_[87] + v_[331] * v_[109] + v_[209] * v_[85];
+ v_[51] = v_[114] * 2.1032 + v_[241] * 0.057838;
+ v_[49] = 0 - v_[51];
+ v_[164] = v_[330] * 2.1032;
+ v_[215] = v_[310] + v_[349] * v_[302] + v_[49] * v_[71] + v_[132] * v_[84] + v_[164] * v_[55] + v_[271] * w_in[4];
+ v_[219] = 0 - v_[73];
+ v_[236] = v_[111] * 1.547475 + (0 - v_[203]) * 0.038686875;
+ v_[242] = v_[320] * v_[27] + v_[219] * v_[91] + v_[233] * v_[109] + v_[236] * v_[85] + v_[293] * w_in[5];
+ v_[258] = 0 - v_[169] + v_[258];
+ v_[169] = 0 - v_[236];
+ v_[306] = v_[192] * v_[27] + v_[258] * v_[91] + v_[345] * v_[142] + v_[169] * v_[87] - v_[22] * w_in[5];
+ v_[295] = v_[225] * -2.1032 + v_[115] * 0.057838;
+ v_[146] = 0 - v_[295];
+ v_[284] = 0 - v_[164];
+ v_[145] = v_[242] * v_[77] + v_[306] * v_[76] + v_[8] * v_[302] + v_[146] * v_[71] + v_[24] * v_[27] +
+ v_[284] * v_[58] - v_[340] * w_in[4];
+ v_[173] = v_[330] * 1.7423722 + v_[96] * 1.52322944854339e-09;
+ v_[183] = 0 - v_[173];
+ v_[342] = (0 - v_[96]) * 0.160298259823722 + v_[250] * -0.008711861;
+ v_[272] = v_[215] * v_[52] + v_[145] * v_[53] + v_[183] * v_[47] + v_[197] * v_[302] + v_[342] * v_[32] +
+ v_[110] * w_in[3];
+ v_[235] = (0 - v_[241]) * 1.5e-05 + v_[203] * 0.000198 + v_[205] * 0.00605;
+ v_[111] = v_[111] * 0.038686875 + v_[241] * -0.000829 + (0 - v_[203]) * -0.00146 + (0 - v_[205]) * 0.000198;
+ v_[328] = (0 - v_[328]) * 0.038686875;
+ v_[267] = v_[203] * 1.5e-05;
+ v_[152] = (0 - v_[205]) * -0.000829;
+ v_[348] = v_[328] + v_[267] + v_[152];
+ v_[348] = v_[320] * v_[255] + v_[219] * v_[94] + v_[192] * v_[133] + v_[258] * v_[82] + v_[176] * v_[142] +
+ v_[235] * v_[87] + v_[48] * v_[109] + v_[111] * v_[85] + v_[162] * v_[27] + v_[162] * v_[27] +
+ v_[348] * v_[91] + v_[348] * v_[91];
+ hes[47] = v_[278] * v_[155] + v_[22] * v_[83] + v_[249] * v_[255] + v_[293] * v_[94] + v_[335] * v_[17] +
+ v_[226] * v_[98] + v_[276] * v_[142] + v_[222] * v_[87] + v_[348];
+ v_[225] = v_[225] * 0.057838 + (0 - v_[250]) * -0.012652 + v_[241] * -0.001387 + v_[115] * -0.018069;
+ v_[155] = v_[250] * 0.009683 + (0 - v_[241]) * -0.001243 + v_[115] * -0.012652;
+ v_[17] = (0 - v_[330]) * 0.057838;
+ v_[258] = (0 - v_[250]) * -0.001387;
+ v_[219] = (0 - v_[115]) * -0.001243;
+ v_[162] = v_[17] + v_[258] - v_[219];
+ v_[162] = v_[348] + v_[242] * v_[78] + v_[306] * v_[81] + v_[337] * v_[129] + v_[51] * v_[64] + v_[24] * v_[350] +
+ v_[284] * v_[80] + v_[230] * v_[302] + v_[225] * v_[71] + v_[196] * v_[84] + v_[155] * v_[55] +
+ v_[332] * v_[27] + v_[332] * v_[27] + v_[162] * v_[58] + v_[162] * v_[58] + v_[113] * w_in[4];
+ v_[205] = v_[200] * 0.038686875 + v_[241] * -0.00751 + (0 - v_[203]) * -0.000829 + v_[205] * 1.5e-05;
+ v_[200] = (0 - v_[241]) * 0.000198;
+ v_[152] = v_[328] + v_[200] - v_[152];
+ v_[152] = v_[121] * v_[252] + v_[73] * v_[89] + v_[345] * v_[133] + v_[169] * v_[82] + v_[176] * v_[27] +
+ v_[235] * v_[91] + v_[289] * v_[109] + v_[205] * v_[85] + v_[156] * v_[142] + v_[156] * v_[142] +
+ v_[152] * v_[87] + v_[152] * v_[87] + v_[222] * w_in[5];
+ v_[200] = 0 - v_[200] - v_[267];
+ v_[200] = v_[331] * v_[252] + v_[209] * v_[89] + v_[233] * v_[255] + v_[236] * v_[94] + v_[48] * v_[27] +
+ v_[111] * v_[91] + v_[289] * v_[142] + v_[205] * v_[87] + v_[329] * v_[109] + v_[329] * v_[109] +
+ v_[200] * v_[85] + v_[200] * v_[85] - v_[226] * w_in[5];
+ v_[205] = v_[114] * 0.057838 + v_[250] * -0.001243 + (0 - v_[241]) * -0.008386 + (0 - v_[115]) * -0.001387;
+ v_[111] = v_[241] * -0.012652;
+ v_[258] = v_[17] - v_[258] - v_[111];
+ v_[258] = v_[310] * -0.184 + v_[152] * v_[77] + v_[200] * v_[76] + v_[188] * v_[129] + v_[295] * v_[64] +
+ v_[132] * v_[231] + v_[164] * v_[69] + v_[179] * v_[302] + v_[205] * v_[71] + v_[196] * v_[27] +
+ v_[155] * v_[58] + v_[190] * v_[84] + v_[190] * v_[84] + v_[258] * v_[55] + v_[258] * v_[55] -
+ v_[280] * w_in[4];
+ hes[40] =
+ 0 -
+ (v_[319] * v_[123] + v_[101] * v_[106] + v_[283] * v_[104] + v_[96] * v_[92] + v_[275] * v_[269] +
+ v_[340] * v_[66] + v_[307] * v_[287] + v_[280] * v_[34] + v_[39] * v_[262] + v_[215] * v_[44] +
+ v_[165] * v_[218] + v_[162] * v_[35] + (v_[178] * v_[123] + v_[340] * v_[29] + v_[215] * v_[47]) * 0.112 -
+ (v_[210] * v_[327] + v_[271] * v_[37] + v_[145] * v_[46]) +
+ (v_[283] * v_[327] + v_[96] * v_[72] + v_[292] * v_[287] + v_[271] * v_[34] + v_[25] * v_[218] +
+ v_[145] * v_[35]) *
+ 0.112 -
+ (v_[178] * v_[75] + v_[113] * v_[29] + v_[258] * v_[47])) *
+ v_[177] +
+ (v_[210] * v_[123] + v_[319] * v_[327] + v_[101] * v_[72] + v_[178] * v_[104] + v_[283] * v_[75] +
+ v_[96] * v_[74] + v_[340] * v_[37] + v_[292] * v_[269] + v_[271] * v_[66] + v_[280] * v_[29] +
+ v_[63] * v_[287] + v_[113] * v_[34] + v_[215] * v_[46] + v_[25] * v_[262] + v_[145] * v_[44] +
+ v_[162] * v_[47] + v_[204] * v_[218] + v_[258] * v_[35] +
+ (v_[283] * v_[123] + v_[96] * v_[106] + v_[275] * v_[287] + v_[340] * v_[34] + v_[39] * v_[218] +
+ v_[215] * v_[35]) *
+ -0.112 +
+ (v_[178] * v_[327] + v_[271] * v_[29] + v_[145] * v_[47]) * 0.112) *
+ v_[318];
+ v_[75] = 0 - v_[342];
+ v_[104] = v_[101] * 1.52322944854339e-09 + v_[96] * 0.0036857284 + v_[250] * 0.077424;
+ v_[327] =
+ v_[101] * 0.160298259823722 + v_[330] * -0.008711861 + (0 - v_[96]) * -0.0022920002 + v_[250] * -0.00021200017;
+ v_[123] = (0 - v_[330]) * 0.160298259823722;
+ v_[269] = (0 - v_[250]) * -0.0022920002;
+ v_[204] = v_[123] - v_[269];
+ v_[204] = v_[215] * v_[68] + v_[145] * v_[61] + v_[162] * v_[52] + v_[258] * v_[53] + v_[173] * v_[46] +
+ v_[88] * v_[129] + v_[75] * v_[64] + v_[104] * v_[47] + v_[224] * v_[302] + v_[327] * v_[32] +
+ v_[136] * v_[218] + v_[136] * v_[218] + v_[204] * v_[35] + v_[204] * v_[35] + v_[221] * w_in[3];
+ v_[111] = v_[111] + v_[219];
+ v_[111] = v_[310] * 0.02075 + v_[152] * v_[86] + v_[200] * v_[77] + v_[349] * v_[231] + v_[49] * v_[69] +
+ v_[8] * v_[350] + v_[146] * v_[80] + v_[230] * v_[27] + v_[225] * v_[58] + v_[179] * v_[84] +
+ v_[205] * v_[55] + v_[251] * v_[302] + v_[251] * v_[302] + v_[111] * v_[71] + v_[111] * v_[71];
+ hes[46] = v_[275] * v_[339] + v_[340] * v_[90] + v_[292] * v_[231] + v_[271] * v_[69] + v_[307] * v_[217] +
+ v_[280] * v_[56] + v_[63] * v_[27] + v_[113] * v_[58] + v_[111];
+ v_[217] = v_[101] * -1.7423722;
+ v_[339] = v_[250] * 1.52322944854339e-09;
+ v_[63] = v_[217] + v_[339];
+ v_[307] = v_[330] * 1.52322944854339e-09 + (0 - v_[96]) * 0.01404749 + (0 - v_[250]) * 0.0036857284;
+ v_[292] = (0 - v_[101]) * -0.008711861;
+ v_[275] = v_[96] * -0.00021200017;
+ v_[205] = v_[292] - v_[275];
+ v_[205] = v_[111] + v_[63] * v_[46] + v_[197] * v_[262] + v_[342] * v_[44] + v_[307] * v_[47] + v_[224] * v_[218] +
+ v_[327] * v_[35] + v_[137] * v_[302] + v_[137] * v_[302] + v_[205] * v_[32] + v_[205] * v_[32] -
+ v_[160] * w_in[3];
+ v_[322] = 1.52322944854339e-09 * v_[287] + 1.7423722 * v_[298] + 1.7423722 * v_[322] +
+ 1.52322944854339e-09 * v_[50] + -0.008711861 * v_[326] +
+ 2.1032 * (v_[84] * v_[69] + v_[55] * v_[231] - (v_[27] * v_[80] + v_[58] * v_[350])) + 2.1032 * v_[298] +
+ v_[79] * v_[336] + v_[77] * v_[154] - 0.160298259823722 * v_[117] - 0.057838 * (v_[105] + v_[127]);
+ v_[339] = 0 - v_[217] - v_[339];
+ v_[75] = v_[242] * v_[79] + v_[306] * v_[77] + v_[337] * v_[27] + v_[51] * v_[58] + v_[188] * v_[84] +
+ v_[295] * v_[55] + v_[339] * v_[47] + v_[88] * v_[218] + v_[75] * v_[35] - v_[3] * w_in[3];
+ v_[308] = 0 - v_[334] + v_[281] - v_[308];
+ v_[88] = v_[227] * v_[79] + v_[151] * v_[77] + v_[337] * v_[58] + v_[188] * v_[55] + v_[308] * v_[47] +
+ v_[88] * v_[35] - v_[122] * w_in[3];
+ hes[39] =
+ (0 - (v_[229] * v_[112] + v_[158] * v_[108] + v_[126] * v_[100] + v_[122] * v_[41] + v_[288] * v_[7] +
+ v_[301] * v_[14] + v_[220] * v_[6] + v_[314] * v_[21] + v_[285] * v_[15] + v_[246] * v_[23] +
+ (v_[194] * v_[112] + v_[122] * v_[16] + v_[314] * v_[12]) * -0.304)) *
+ v_[28] -
+ (v_[229] * v_[257] + v_[158] * v_[347] + v_[126] * v_[237] + v_[3] * v_[41] + v_[110] * v_[7] +
+ v_[160] * v_[14] + v_[221] * v_[6] + v_[272] * v_[21] + v_[204] * v_[15] + v_[205] * v_[23] +
+ (v_[194] * v_[257] + v_[3] * v_[16] + v_[272] * v_[12]) * -0.304) *
+ v_[309] +
+ (v_[229] * v_[322] + v_[126] * v_[347] + v_[110] * v_[41] + v_[221] * v_[14] + v_[75] * v_[21] +
+ v_[205] * v_[15] - v_[3] * v_[7] + (v_[194] * v_[322] + v_[110] * v_[16] + v_[75] * v_[12]) * -0.304 -
+ (v_[158] * v_[237] + v_[160] * v_[6] + v_[204] * v_[23])) *
+ v_[161] -
+ (v_[229] * v_[107] + v_[126] * v_[108] + v_[288] * v_[41] + v_[220] * v_[14] + v_[88] * v_[21] +
+ v_[246] * v_[15] - v_[122] * v_[7] + (v_[194] * v_[107] + v_[288] * v_[16] + v_[88] * v_[12]) * -0.304 -
+ (v_[158] * v_[100] + v_[301] * v_[6] + v_[285] * v_[23])) *
+ v_[30];
+ v_[322] = v_[253] * v_[336] + v_[241] * v_[93] + v_[278] * v_[300] + v_[22] * v_[57] + v_[227] * v_[27] +
+ v_[242] * v_[58];
+ v_[241] = v_[253] * v_[154] + v_[241] * v_[97] + v_[249] * v_[300] + v_[293] * v_[57] + v_[151] * v_[27] +
+ v_[306] * v_[58];
+ hes[41] = 0 -
+ (v_[244] * v_[154] + v_[330] * v_[97] + v_[128] * v_[336] + v_[114] * v_[93] + v_[305] * v_[317] +
+ v_[250] * v_[102] + v_[296] * v_[338] + v_[115] * v_[103] + v_[278] * v_[214] + v_[22] * v_[70] +
+ v_[249] * v_[298] + v_[293] * v_[45] + v_[335] * v_[216] + v_[226] * v_[59] + v_[276] * v_[290] +
+ v_[222] * v_[36] + v_[227] * v_[350] + v_[242] * v_[80] + v_[151] * v_[129] + v_[306] * v_[64] +
+ v_[208] * v_[84] + v_[152] * v_[55] + v_[186] * v_[302] + v_[200] * v_[71] + v_[322] * 0.184 +
+ (0 - v_[241]) * 0.02075) *
+ v_[248] +
+ (v_[128] * v_[154] + v_[114] * v_[97] + v_[296] * v_[317] + v_[115] * v_[102] + v_[249] * v_[214] +
+ v_[293] * v_[70] + v_[276] * v_[216] + v_[222] * v_[59] + v_[151] * v_[350] + v_[306] * v_[80] +
+ v_[186] * v_[84] + v_[200] * v_[55] -
+ (v_[244] * v_[336] + v_[330] * v_[93] + v_[278] * v_[298] + v_[22] * v_[45] + v_[227] * v_[129] +
+ v_[242] * v_[64]) +
+ v_[322] * 0.02075 + v_[241] * 0.184 -
+ (v_[305] * v_[338] + v_[250] * v_[103] + v_[335] * v_[290] + v_[226] * v_[36] + v_[208] * v_[302] +
+ v_[152] * v_[71])) *
+ v_[247];
+ v_[241] = v_[340] * v_[53] + v_[271] * v_[62] + v_[96] * -0.160298259823722 + v_[250] * -0.008711861;
+ v_[322] = v_[241] * -1;
+ v_[200] = v_[314] * v_[286] + v_[272] * v_[28] + v_[88] * v_[161] + v_[75] * v_[30] + v_[322] * w_in[2];
+ v_[63] = v_[215] * v_[53] + v_[145] * v_[62] + v_[199] * v_[218] + v_[173] * v_[35] + v_[134] * v_[302] +
+ v_[63] * v_[32];
+ v_[173] = v_[122] * v_[286] + v_[3] * v_[28] + v_[288] * v_[161] + v_[110] * v_[30];
+ v_[134] = v_[63] * -1 - v_[173] * w_in[2];
+ v_[113] = v_[122] * v_[304] + v_[3] * v_[43] + v_[288] * v_[125] + v_[110] * v_[42] +
+ (v_[340] * v_[67] + v_[271] * v_[60] + v_[280] * v_[53] + v_[113] * v_[54] + v_[101] * 0.160298259823722 +
+ v_[330] * 0.008711861 + v_[96] * -0.0022920002 + v_[250] * -0.00021200017) *
+ -1;
+ v_[63] = v_[63] * -0.304 + v_[285] * v_[286] + v_[204] * v_[28] + v_[246] * v_[161] + v_[205] * v_[30] +
+ v_[113] * w_in[2];
+ v_[275] = v_[292] + v_[123] + v_[275] + v_[269];
+ v_[275] = v_[215] * v_[67] + v_[145] * v_[60] + v_[162] * v_[53] + v_[258] * v_[54] + v_[291] * v_[262] +
+ v_[183] * v_[44] + v_[308] * v_[129] + v_[339] * v_[64] + v_[26] * v_[218] + v_[104] * v_[35] +
+ v_[116] * v_[302] + v_[307] * v_[32] + v_[275] * v_[47] + v_[275] * v_[47];
+ hes[45] = v_[122] * v_[259] + v_[3] * v_[65] + v_[288] * v_[262] + v_[110] * v_[44] + v_[301] * v_[207] +
+ v_[160] * v_[33] + v_[220] * v_[218] + v_[221] * v_[35] + v_[275];
+ v_[241] = v_[241] * -0.304 + v_[301] * v_[286] + v_[160] * v_[28] + v_[220] * v_[161] + v_[221] * v_[30];
+ v_[275] =
+ v_[314] * v_[304] + v_[272] * v_[43] + v_[88] * v_[125] + v_[75] * v_[42] + v_[275] * -1 - v_[241] * w_in[2];
+ v_[221] = v_[301] * v_[213] + v_[160] * v_[31] + v_[220] * v_[286] + v_[221] * v_[28];
+ v_[205] = v_[285] * v_[213] + v_[204] * v_[31] + v_[246] * v_[286] + v_[205] * v_[28];
+ hes[44] = v_[173] * v_[40] + v_[322] * v_[21] + v_[241] * v_[13] + v_[113] * v_[15] + v_[205];
+ v_[241] = v_[173] * v_[19] + v_[322] * v_[18] + v_[241] * v_[9] + v_[113] * v_[10];
+ hes[42] = (v_[200] * v_[19] + v_[134] * v_[18] + v_[63] * v_[9] + v_[275] * v_[10] + v_[221] * w_in[1]) * v_[4] +
+ (v_[205] - v_[241] * w_in[1]) * v_[0];
+ hes[43] =
+ v_[200] * v_[20] + v_[134] * v_[38] + v_[63] * v_[10] + v_[275] * v_[11] + v_[241] * v_[2] + v_[221] * v_[5];
+ v_[241] = w_in[6] * v_[4];
+ v_[221] = w_in[7] * v_[20] + v_[241] * v_[19];
+ v_[275] = w_in[7] * v_[11] + v_[241] * v_[10];
+ v_[63] = v_[221] * v_[28] + v_[275] * v_[43];
+ v_[134] = w_in[8] + w_in[6] * v_[0];
+ v_[200] = w_in[7] * v_[10] + v_[241] * v_[9];
+ v_[205] = v_[134] * v_[31] + v_[200] * v_[28];
+ v_[241] = (w_in[7] * v_[38] + v_[241] * v_[18]) * -1 + v_[200] * -0.304;
+ v_[113] = w_in[9] + v_[275] * -1;
+ v_[173] = v_[241] * v_[53] + v_[63] * v_[52] + v_[113] * v_[67] + v_[205] * v_[68];
+ v_[200] = w_in[10] + v_[134] * v_[28] + v_[200] * v_[30];
+ v_[134] = v_[113] * v_[54] + v_[205] * v_[53];
+ v_[322] = v_[173] + v_[200] * 0.02075 + v_[134] * -0.184;
+ v_[204] = v_[200] * v_[86] + v_[134] * v_[77];
+ v_[213] = v_[322] * 1.547475 + v_[204] * -0.038686875;
+ v_[286] = v_[213] + v_[173] * 2.1032 + v_[134] * -0.057838;
+ v_[275] = v_[221] * v_[30] + v_[275] * v_[42];
+ v_[221] = v_[241] * v_[62] + v_[63] * v_[53] + v_[113] * v_[60] + v_[205] * v_[61];
+ v_[246] = v_[113] * v_[53] + v_[205] * v_[52];
+ v_[285] = v_[275] * v_[79] + v_[221] * v_[77] + v_[246] * v_[78];
+ v_[160] = w_in[11] + v_[246];
+ v_[220] = v_[200] * v_[77] + v_[134] * v_[76];
+ v_[301] = v_[285] * 1.547475 + v_[160] * 0.038686875;
+ v_[88] = v_[275] * v_[77] + v_[221] * v_[76] + v_[246] * v_[81];
+ v_[75] = v_[88] * 1.547475;
+ v_[272] = v_[285] * 0.038686875 + v_[160] * 0.009277 + v_[204] * -0.000829 + v_[220] * 1.5e-05 + v_[301] * v_[78] +
+ v_[75] * v_[81] + v_[221] * 0.057838 + v_[200] * -0.001243 + v_[246] * 0.029115 + v_[134] * -0.001387;
+ v_[125] = v_[88] * 1.547475;
+ v_[304] = v_[285] * -1.547475;
+ v_[314] = v_[160] * 0.038686875;
+ v_[161] = v_[304] - v_[314];
+ v_[110] = v_[125] * v_[87] + v_[161] * v_[85];
+ v_[3] = v_[221] * 2.1032 + v_[246] * 0.057838;
+ v_[262] = 0 - v_[3];
+ v_[207] = v_[275] * 2.1032;
+ v_[259] = v_[301] * v_[77] + v_[75] * v_[76] + v_[221] * 2.1032 + v_[246] * 0.057838;
+ v_[218] = v_[110] + v_[262] * v_[71] + v_[207] * v_[55] + v_[259] * w_in[4];
+ v_[288] = 0 - v_[125];
+ v_[314] = 0 - v_[304] + v_[314];
+ v_[304] = (0 - v_[160]) * 1.5e-05 + v_[204] * 0.000198 + v_[220] * 0.00605;
+ v_[122] = v_[322] * 0.038686875 + v_[160] * -0.000829 + (0 - v_[204]) * -0.00146 + (0 - v_[220]) * 0.000198;
+ v_[88] = (0 - v_[88]) * 0.038686875;
+ v_[308] = v_[204] * 1.5e-05;
+ v_[339] = (0 - v_[220]) * -0.000829;
+ v_[307] = v_[88] + v_[308] + v_[339];
+ v_[104] = v_[322] * 1.547475 + (0 - v_[204]) * 0.038686875;
+ v_[258] = v_[288] * v_[91] + v_[104] * v_[85] + v_[75] * w_in[5];
+ v_[162] = 0 - v_[104];
+ v_[183] = v_[314] * v_[91] + v_[162] * v_[87] - v_[301] * w_in[5];
+ v_[145] = 0 - v_[207];
+ v_[215] = v_[173] * 0.057838 + (0 - v_[200]) * -0.012652 + v_[246] * -0.001387 + v_[134] * -0.018069;
+ v_[302] = v_[200] * 0.009683 + (0 - v_[246]) * -0.001243 + v_[134] * -0.012652;
+ v_[129] = (0 - v_[275]) * 0.057838;
+ v_[116] = (0 - v_[200]) * -0.001387;
+ v_[26] = v_[129] + v_[116] - (0 - v_[134]) * -0.001243;
+ v_[322] = v_[322] * -0.038686875 + v_[160] * -0.000829 + v_[204] * 0.003227 + v_[220] * 0.000198;
+ v_[291] = v_[160] * 1.5e-05 + v_[204] * 0.000198 + v_[220] * 0.010737;
+ v_[213] = v_[213] * -0.184 + v_[322] * v_[77] + v_[291] * v_[76] + v_[173] * -0.057838 + v_[200] * -0.012652 +
+ v_[246] * -0.001387 + v_[134] * 0.019432;
+ v_[32] = v_[288] * v_[94] + v_[314] * v_[82] + v_[304] * v_[87] + v_[122] * v_[85] + v_[307] * v_[91] +
+ v_[307] * v_[91] + v_[258] * v_[78] + v_[183] * v_[81] + v_[3] * v_[64] + v_[145] * v_[80] +
+ v_[215] * v_[71] + v_[302] * v_[55] + v_[26] * v_[58] + v_[26] * v_[58] + v_[213] * w_in[4];
+ v_[173] = v_[173] * -2.1032 + v_[134] * 0.057838;
+ v_[292] = 0 - v_[173];
+ v_[269] = v_[258] * v_[77] + v_[183] * v_[76] + v_[292] * v_[71] + v_[145] * v_[58] - v_[286] * w_in[4];
+ v_[220] = v_[285] * 0.038686875 + v_[160] * -0.00751 + (0 - v_[204]) * -0.000829 + v_[220] * 1.5e-05;
+ v_[160] = (0 - v_[160]) * 0.000198;
+ v_[339] = v_[88] + v_[160] - v_[339];
+ v_[88] = v_[125] * v_[89] + v_[162] * v_[82] + v_[304] * v_[91] + v_[220] * v_[85] + v_[339] * v_[87] +
+ v_[339] * v_[87] + v_[291] * w_in[5];
+ v_[160] = 0 - v_[160] - v_[308];
+ v_[308] = v_[161] * v_[89] + v_[104] * v_[94] + v_[122] * v_[91] + v_[220] * v_[87] + v_[160] * v_[85] +
+ v_[160] * v_[85] - v_[322] * w_in[5];
+ v_[285] = v_[221] * 0.057838 + v_[200] * -0.001243 + (0 - v_[246]) * -0.008386 + (0 - v_[134]) * -0.001387;
+ v_[116] = v_[129] - v_[116] - v_[246] * -0.012652;
+ v_[110] = v_[110] * -0.184 + v_[88] * v_[77] + v_[308] * v_[76] + v_[173] * v_[64] + v_[207] * v_[69] +
+ v_[285] * v_[71] + v_[302] * v_[58] + v_[116] * v_[55] + v_[116] * v_[55] - v_[272] * w_in[4];
+ v_[129] = 0 - v_[177];
+ v_[204] = 0.112 * v_[129];
+ v_[123] = -0.112 * v_[318];
+ v_[280] = 0.112 * v_[318];
+ v_[271] = 0.112 * v_[129];
+ v_[330] = -v_[129];
+ v_[340] = v_[280] * v_[47] + v_[271] * v_[35] + v_[330] * v_[46] + v_[318] * v_[44];
+ v_[250] = -v_[340];
+ v_[96] = v_[204] * v_[29] + v_[123] * v_[34] + v_[318] * v_[37] + v_[129] * v_[66] + v_[250] * w_in[4];
+ v_[101] = -v_[129];
+ v_[199] = v_[129] * v_[35] + v_[318] * v_[47];
+ v_[152] = v_[101] * v_[29] + v_[318] * v_[34] + v_[199] * w_in[4];
+ v_[306] = v_[199] * v_[71];
+ v_[242] = v_[318] * v_[35] + v_[101] * v_[47];
+ v_[222] = v_[242] * v_[64] - v_[71] * v_[340];
+ v_[226] = -0.184 * v_[152] + v_[96];
+ v_[293] = v_[76] * v_[242];
+ v_[22] = -v_[293];
+ v_[114] = v_[77] * v_[152] + v_[22] * w_in[5];
+ v_[115] = v_[293] * v_[91] + v_[85] * v_[199];
+ v_[317] = v_[77] * v_[340] + v_[78] * v_[199];
+ v_[338] = v_[77] * v_[242];
+ v_[154] = v_[76] * v_[340] + v_[81] * v_[199];
+ v_[336] = v_[293] * v_[94] + v_[85] * v_[317] - (v_[338] * v_[82] + v_[87] * v_[154]);
+ v_[298] = 1.547475 * v_[226] + -0.038686875 * v_[114] + 0.038686875 * v_[115] + 1.547475 * v_[336];
+ v_[214] = 2.1032 * v_[96] + -0.057838 * v_[152] + 0.057838 * v_[306] + -2.1032 * v_[222] + v_[298];
+ v_[84] = -v_[242];
+ v_[216] = v_[318] * v_[29] + v_[129] * v_[34] + v_[84] * w_in[4];
+ v_[350] = v_[204] * v_[47] + v_[123] * v_[35] + v_[318] * v_[46] + v_[129] * v_[44];
+ v_[290] = v_[280] * v_[29] + v_[271] * v_[34] + v_[330] * v_[37] + v_[318] * v_[66] + v_[350] * w_in[4];
+ v_[186] = v_[199] * v_[64] - v_[71] * v_[350];
+ v_[208] = -v_[154];
+ v_[151] = v_[77] * v_[290] + v_[78] * v_[216] + v_[208] * w_in[5];
+ v_[227] = v_[293] * v_[87] + v_[85] * v_[338];
+ v_[276] = -0.184 * v_[242] + v_[350];
+ v_[335] = v_[293] * v_[89] + v_[85] * v_[276];
+ v_[249] = v_[199] * v_[82] + v_[91] * v_[154];
+ v_[278] = 1.547475 * v_[151] + 0.038686875 * v_[216] + 0.038686875 * v_[227] + -1.547475 * (v_[335] - v_[249]);
+ v_[128] = v_[199] * v_[91] + v_[91] * v_[199];
+ v_[244] = v_[338] * v_[87] + v_[87] * v_[338];
+ v_[296] = 1.547475 * (v_[338] * v_[89] + v_[87] * v_[276] - (v_[199] * v_[94] + v_[91] * v_[317])) +
+ 1.547475 * (v_[76] * v_[290] + v_[81] * v_[216] + v_[317] * w_in[5]) - 0.038686875 * (v_[128] + v_[244]);
+ v_[305] = v_[76] * v_[152] + v_[338] * w_in[5];
+ v_[300] = v_[338] * v_[91] + v_[87] * v_[199];
+ v_[27] = v_[293] * v_[85] + v_[85] * v_[293];
+ v_[253] = v_[242] * v_[71];
+ v_[237] = v_[242] * v_[58] + v_[55] * v_[199];
+ v_[249] = 0.029115 * v_[216] + -0.001387 * v_[152] + 0.057838 * v_[290] + 0.057838 * v_[186] + -0.001387 * v_[306] +
+ -0.012652 * (0 - (v_[242] * v_[55] + v_[55] * v_[242])) + v_[78] * v_[278] + v_[81] * v_[296] +
+ 0.009277 * v_[216] + -0.000829 * v_[114] + 1.5e-05 * v_[305] + 0.038686875 * v_[151] +
+ -0.00751 * v_[227] + 0.038686875 * (v_[249] - v_[335]) + -0.000829 * v_[115] - 1.5e-05 * v_[300] -
+ 0.000198 * (v_[244] - v_[27]) - -0.008386 * v_[253] - -0.001243 * v_[237];
+ v_[335] = v_[241] * v_[318] + v_[63] * v_[129] + v_[113] * v_[204] + v_[205] * v_[123];
+ v_[151] = v_[113] * v_[101] + v_[205] * v_[318];
+ v_[347] = v_[335] + v_[151] * -0.184;
+ v_[257] = v_[151] * v_[77];
+ v_[194] = v_[347] * 1.547475 + v_[257] * -0.038686875;
+ v_[126] = v_[194] + v_[335] * 2.1032 + v_[151] * -0.057838;
+ v_[158] = v_[241] * v_[330] + v_[63] * v_[318] + v_[113] * v_[280] + v_[205] * v_[271];
+ v_[229] = v_[113] * v_[318] + v_[205] * v_[129];
+ v_[309] = v_[158] * v_[77] + v_[229] * v_[78];
+ v_[107] = v_[151] * v_[76];
+ v_[112] = v_[309] * 1.547475 + v_[229] * 0.038686875;
+ v_[108] = v_[158] * v_[76] + v_[229] * v_[81];
+ v_[100] = v_[108] * 1.547475;
+ v_[41] = v_[309] * 0.038686875 + v_[229] * 0.009277 + v_[257] * -0.000829 + v_[107] * 1.5e-05 + v_[112] * v_[78] +
+ v_[100] * v_[81] + v_[158] * 0.057838 + v_[229] * 0.029115 + v_[151] * -0.001387;
+ v_[23] = v_[108] * 1.547475;
+ v_[16] = v_[309] * -1.547475;
+ v_[14] = v_[229] * 0.038686875;
+ v_[12] = v_[16] - v_[14];
+ v_[7] = v_[125] * v_[338] + v_[23] * v_[87] + v_[161] * v_[293] + v_[12] * v_[85];
+ v_[6] = v_[158] * 2.1032 + v_[229] * 0.057838;
+ v_[188] = 0 - v_[6];
+ v_[337] = v_[112] * v_[77] + v_[100] * v_[76] + v_[158] * 2.1032 + v_[229] * 0.057838;
+ v_[281] = v_[7] + v_[188] * v_[71] + v_[207] * v_[242] + v_[337] * w_in[4];
+ v_[334] = 0 - v_[23];
+ v_[14] = 0 - v_[16] + v_[14];
+ v_[16] = (0 - v_[229]) * 1.5e-05 + v_[257] * 0.000198 + v_[107] * 0.00605;
+ v_[295] = v_[347] * 0.038686875 + v_[229] * -0.000829 + (0 - v_[257]) * -0.00146 + (0 - v_[107]) * 0.000198;
+ v_[108] = (0 - v_[108]) * 0.038686875;
+ v_[51] = v_[257] * 1.5e-05;
+ v_[217] = (0 - v_[107]) * -0.000829;
+ v_[117] = v_[108] + v_[51] + v_[217];
+ v_[117] = v_[288] * v_[317] + v_[334] * v_[94] + v_[314] * v_[154] + v_[14] * v_[82] + v_[304] * v_[338] +
+ v_[16] * v_[87] + v_[122] * v_[293] + v_[295] * v_[85] + v_[307] * v_[199] + v_[307] * v_[199] +
+ v_[117] * v_[91] + v_[117] * v_[91];
+ v_[307] = v_[347] * 1.547475 + (0 - v_[257]) * 0.038686875;
+ v_[334] = v_[288] * v_[199] + v_[334] * v_[91] + v_[104] * v_[293] + v_[307] * v_[85] + v_[100] * w_in[5];
+ v_[288] = 0 - v_[307];
+ v_[14] = v_[314] * v_[199] + v_[14] * v_[91] + v_[162] * v_[338] + v_[288] * v_[87] - v_[112] * w_in[5];
+ v_[314] = v_[335] * 0.057838 + v_[229] * -0.001387 + v_[151] * -0.018069;
+ v_[50] = (0 - v_[229]) * -0.001243 + v_[151] * -0.012652;
+ v_[127] = (0 - v_[151]) * -0.001243;
+ v_[105] = 0 - v_[127];
+ v_[347] = v_[347] * -0.038686875 + v_[229] * -0.000829 + v_[257] * 0.003227 + v_[107] * 0.000198;
+ v_[231] = v_[229] * 1.5e-05 + v_[257] * 0.000198 + v_[107] * 0.010737;
+ hes[59] = v_[301] * v_[208] + v_[112] * v_[83] + v_[75] * v_[317] + v_[100] * v_[94] + v_[322] * v_[22] +
+ v_[347] * v_[98] + v_[291] * v_[338] + v_[231] * v_[87] + v_[117];
+ v_[208] = v_[194] * -0.184 + v_[347] * v_[77] + v_[231] * v_[76] + v_[335] * -0.057838 + v_[229] * -0.001387 +
+ v_[151] * 0.019432;
+ v_[105] = v_[117] + v_[334] * v_[78] + v_[14] * v_[81] + v_[6] * v_[64] + v_[145] * v_[340] + v_[314] * v_[71] +
+ v_[302] * v_[242] + v_[50] * v_[55] + v_[26] * v_[199] + v_[26] * v_[199] + v_[105] * v_[58] +
+ v_[105] * v_[58] + v_[208] * w_in[4];
+ v_[186] = 2.1032 * v_[290] + 0.057838 * v_[216] + 0.057838 * v_[253] + 2.1032 * v_[186] + v_[77] * v_[278] +
+ v_[76] * v_[296];
+ v_[335] = v_[335] * -2.1032 + v_[151] * 0.057838;
+ v_[117] = 0 - v_[335];
+ v_[145] = v_[334] * v_[77] + v_[14] * v_[76] + v_[117] * v_[71] + v_[145] * v_[199] - v_[126] * w_in[4];
+ v_[27] = -0.000829 * v_[216] + 0.003227 * v_[114] + 0.000198 * v_[305] + -0.038686875 * v_[226] +
+ 0.000198 * v_[300] + 1.5e-05 * (v_[128] - v_[27]) - 0.038686875 * v_[336] - -0.00146 * v_[115] -
+ -0.000829 * v_[227];
+ v_[300] = 1.5e-05 * v_[216] + 0.000198 * v_[114] + 0.010737 * v_[305] + 0.00605 * v_[300] + 1.5e-05 * v_[227] -
+ 0.000198 * v_[115] - -0.000829 * (v_[128] - v_[244]);
+ v_[237] = -0.001387 * v_[216] + 0.019432 * v_[152] + -0.057838 * v_[96] + -0.018069 * v_[306] + 0.057838 * v_[222] +
+ -0.012652 * v_[237] + v_[77] * v_[27] + v_[76] * v_[300] + -0.184 * v_[298] - -0.001387 * v_[253] -
+ -0.001243 * (0 - (v_[199] * v_[58] + v_[58] * v_[199]));
+ v_[107] = v_[309] * 0.038686875 + v_[229] * -0.00751 + (0 - v_[257]) * -0.000829 + v_[107] * 1.5e-05;
+ v_[309] = (0 - v_[229]) * 0.000198;
+ v_[217] = v_[108] + v_[309] - v_[217];
+ v_[217] = v_[125] * v_[276] + v_[23] * v_[89] + v_[162] * v_[154] + v_[288] * v_[82] + v_[304] * v_[199] +
+ v_[16] * v_[91] + v_[220] * v_[293] + v_[107] * v_[85] + v_[339] * v_[338] + v_[339] * v_[338] +
+ v_[217] * v_[87] + v_[217] * v_[87] + v_[231] * w_in[5];
+ v_[309] = 0 - v_[309] - v_[51];
+ v_[309] = v_[161] * v_[276] + v_[12] * v_[89] + v_[104] * v_[317] + v_[307] * v_[94] + v_[122] * v_[199] +
+ v_[295] * v_[91] + v_[220] * v_[338] + v_[107] * v_[87] + v_[160] * v_[293] + v_[160] * v_[293] +
+ v_[309] * v_[85] + v_[309] * v_[85] - v_[347] * w_in[5];
+ v_[107] = v_[158] * 0.057838 + (0 - v_[229]) * -0.008386 + (0 - v_[151]) * -0.001387;
+ v_[307] = v_[229] * -0.012652;
+ v_[295] = 0 - v_[307];
+ v_[295] = v_[7] * -0.184 + v_[217] * v_[77] + v_[309] * v_[76] + v_[335] * v_[64] + v_[207] * v_[350] +
+ v_[107] * v_[71] + v_[302] * v_[199] + v_[50] * v_[58] + v_[116] * v_[242] + v_[116] * v_[242] +
+ v_[295] * v_[55] + v_[295] * v_[55] - v_[41] * w_in[4];
+ hes[52] =
+ (0 - (v_[63] * v_[106] + v_[205] * v_[92] + v_[286] * v_[66] + v_[272] * v_[34] + v_[218] * v_[44] +
+ v_[32] * v_[35] + (v_[113] * v_[106] + v_[286] * v_[29] + v_[218] * v_[47]) * 0.112 -
+ (v_[241] * v_[72] + v_[259] * v_[37] + v_[269] * v_[46]) +
+ (v_[205] * v_[72] + v_[259] * v_[34] + v_[269] * v_[35]) * 0.112 -
+ (v_[113] * v_[74] + v_[213] * v_[29] + v_[110] * v_[47]))) *
+ v_[52] -
+ (v_[63] * v_[214] + v_[205] * v_[249] + v_[126] * v_[66] + v_[41] * v_[34] + v_[281] * v_[44] +
+ v_[105] * v_[35] + (v_[113] * v_[214] + v_[126] * v_[29] + v_[281] * v_[47]) * 0.112 -
+ (v_[241] * v_[186] + v_[337] * v_[37] + v_[145] * v_[46]) +
+ (v_[205] * v_[186] + v_[337] * v_[34] + v_[145] * v_[35]) * 0.112 -
+ (v_[113] * v_[237] + v_[208] * v_[29] + v_[295] * v_[47])) *
+ v_[177] +
+ (v_[241] * v_[214] + v_[63] * v_[186] + v_[113] * v_[249] + v_[205] * v_[237] + v_[126] * v_[37] +
+ v_[337] * v_[66] + v_[41] * v_[29] + v_[208] * v_[34] + v_[281] * v_[46] + v_[145] * v_[44] +
+ v_[105] * v_[47] + v_[295] * v_[35] + (v_[205] * v_[214] + v_[126] * v_[34] + v_[281] * v_[35]) * -0.112 +
+ (v_[113] * v_[186] + v_[337] * v_[29] + v_[145] * v_[47]) * 0.112) *
+ v_[318] -
+ (v_[241] * v_[106] + v_[63] * v_[72] + v_[113] * v_[92] + v_[205] * v_[74] + v_[286] * v_[37] +
+ v_[259] * v_[66] + v_[272] * v_[29] + v_[213] * v_[34] + v_[218] * v_[46] + v_[269] * v_[44] +
+ v_[32] * v_[47] + v_[110] * v_[35] + (v_[205] * v_[106] + v_[286] * v_[34] + v_[218] * v_[35]) * -0.112 +
+ (v_[113] * v_[72] + v_[259] * v_[29] + v_[269] * v_[47]) * 0.112) *
+ v_[53];
+ v_[237] = v_[246] * v_[278] + v_[229] * v_[93] + v_[301] * v_[216] + v_[112] * v_[57] + v_[258] * v_[199] +
+ v_[334] * v_[58];
+ v_[216] = v_[246] * v_[296] + v_[229] * v_[97] + v_[75] * v_[216] + v_[100] * v_[57] + v_[183] * v_[199] +
+ v_[14] * v_[58];
+ hes[53] = 0 -
+ (v_[275] * v_[296] + v_[221] * v_[278] + v_[158] * v_[93] + v_[200] * v_[300] + v_[134] * v_[27] +
+ v_[151] * v_[103] + v_[301] * v_[290] + v_[112] * v_[70] + v_[100] * v_[45] + v_[322] * v_[152] +
+ v_[347] * v_[59] + v_[231] * v_[36] + v_[258] * v_[340] + v_[334] * v_[80] + v_[14] * v_[64] +
+ v_[88] * v_[242] + v_[217] * v_[55] + v_[309] * v_[71] + v_[237] * 0.184 + (0 - v_[216]) * 0.02075) *
+ v_[248] +
+ (v_[221] * v_[296] + v_[158] * v_[97] + v_[134] * v_[300] + v_[151] * v_[102] + v_[75] * v_[290] +
+ v_[100] * v_[70] + v_[291] * v_[152] + v_[231] * v_[59] + v_[183] * v_[340] + v_[14] * v_[80] +
+ v_[308] * v_[242] + v_[309] * v_[55] - (v_[275] * v_[278] + v_[112] * v_[45] + v_[334] * v_[64]) +
+ v_[237] * 0.02075 + v_[216] * 0.184 - (v_[200] * v_[27] + v_[347] * v_[36] + v_[217] * v_[71])) *
+ v_[247];
+ v_[100] = v_[112] * v_[79] + v_[100] * v_[77];
+ v_[112] = v_[218] * v_[129] + v_[281] * v_[52] + v_[269] * v_[318] + v_[145] * v_[53] + v_[100] * w_in[3];
+ v_[216] = v_[286] * v_[129] + v_[126] * v_[52] + v_[259] * v_[318] + v_[337] * v_[53];
+ v_[335] = v_[334] * v_[79] + v_[14] * v_[77] + v_[3] * v_[199] + v_[6] * v_[58] + v_[173] * v_[242] +
+ v_[335] * v_[55] - v_[216] * w_in[3];
+ v_[14] = v_[286] * v_[318] + v_[126] * v_[53] + v_[259] * v_[330] + v_[337] * v_[62];
+ v_[334] = v_[14] * -1;
+ v_[6] = v_[112] * v_[28] + v_[335] * v_[30] + v_[334] * w_in[2];
+ v_[330] = v_[218] * v_[318] + v_[281] * v_[53] + v_[269] * v_[330] + v_[145] * v_[62];
+ v_[173] = v_[216] * v_[28] + v_[100] * v_[30];
+ v_[3] = v_[330] * -1 - v_[173] * w_in[2];
+ v_[231] = v_[194] * 0.02075 + v_[347] * v_[86] + v_[231] * v_[77] + v_[229] * -0.001243 + v_[151] * -0.012652;
+ v_[347] = v_[218] * v_[123] + v_[281] * v_[68] + v_[269] * v_[271] + v_[145] * v_[61] + v_[32] * v_[129] +
+ v_[105] * v_[52] + v_[110] * v_[318] + v_[295] * v_[53] + v_[231] * w_in[3];
+ v_[307] = v_[307] + v_[127];
+ v_[307] = v_[7] * 0.02075 + v_[217] * v_[86] + v_[309] * v_[77] + v_[262] * v_[350] + v_[188] * v_[69] +
+ v_[292] * v_[340] + v_[117] * v_[80] + v_[215] * v_[199] + v_[314] * v_[58] + v_[285] * v_[242] +
+ v_[107] * v_[55] + v_[307] * v_[71] + v_[307] * v_[71];
+ hes[58] = v_[286] * v_[250] + v_[126] * v_[90] + v_[259] * v_[350] + v_[337] * v_[69] + v_[272] * v_[84] +
+ v_[41] * v_[56] + v_[213] * v_[199] + v_[208] * v_[58] + v_[307];
+ v_[271] = v_[286] * v_[123] + v_[126] * v_[68] + v_[259] * v_[271] + v_[337] * v_[61] + v_[272] * v_[129] +
+ v_[41] * v_[52] + v_[213] * v_[318] + v_[208] * v_[53];
+ v_[307] = v_[307] - v_[271] * w_in[3];
+ v_[208] = v_[216] * v_[43] + v_[100] * v_[42] +
+ (v_[286] * v_[204] + v_[126] * v_[67] + v_[259] * v_[280] + v_[337] * v_[60] + v_[272] * v_[318] +
+ v_[41] * v_[53] + v_[213] * v_[101] + v_[208] * v_[54]) *
+ -1;
+ v_[330] = v_[330] * -0.304 + v_[347] * v_[28] + v_[307] * v_[30] + v_[208] * w_in[2];
+ v_[295] = v_[218] * v_[204] + v_[281] * v_[67] + v_[269] * v_[280] + v_[145] * v_[60] + v_[32] * v_[318] +
+ v_[105] * v_[53] + v_[110] * v_[101] + v_[295] * v_[54];
+ hes[57] = v_[216] * v_[65] + v_[100] * v_[44] + v_[271] * v_[33] + v_[231] * v_[35] + v_[295];
+ v_[14] = v_[14] * -0.304 + v_[271] * v_[28] + v_[231] * v_[30];
+ v_[295] = v_[112] * v_[43] + v_[335] * v_[42] + v_[295] * -1 - v_[14] * w_in[2];
+ v_[271] = v_[271] * v_[31] + v_[231] * v_[28];
+ v_[307] = v_[347] * v_[31] + v_[307] * v_[28];
+ hes[56] = v_[173] * v_[40] + v_[334] * v_[21] + v_[14] * v_[13] + v_[208] * v_[15] + v_[307];
+ v_[14] = v_[173] * v_[19] + v_[334] * v_[18] + v_[14] * v_[9] + v_[208] * v_[10];
+ hes[54] = (v_[6] * v_[19] + v_[3] * v_[18] + v_[330] * v_[9] + v_[295] * v_[10] + v_[271] * w_in[1]) * v_[4] +
+ (v_[307] - v_[14] * w_in[1]) * v_[0];
+ hes[55] = v_[6] * v_[20] + v_[3] * v_[38] + v_[330] * v_[10] + v_[295] * v_[11] + v_[14] * v_[2] + v_[271] * v_[5];
+ v_[14] = w_in[6] * v_[4];
+ v_[271] = w_in[7] * v_[20] + v_[14] * v_[19];
+ v_[295] = w_in[7] * v_[11] + v_[14] * v_[10];
+ v_[330] = v_[271] * v_[30] + v_[295] * v_[42];
+ v_[3] = w_in[7] * v_[10] + v_[14] * v_[9];
+ v_[14] = (w_in[7] * v_[38] + v_[14] * v_[18]) * -1 + v_[3] * -0.304;
+ v_[271] = v_[271] * v_[28] + v_[295] * v_[43];
+ v_[295] = w_in[9] + v_[295] * -1;
+ v_[6] = w_in[8] + w_in[6] * v_[0];
+ v_[307] = v_[6] * v_[31] + v_[3] * v_[28];
+ v_[208] = v_[14] * v_[62] + v_[271] * v_[53] + v_[295] * v_[60] + v_[307] * v_[61];
+ v_[6] = w_in[10] + v_[6] * v_[28] + v_[3] * v_[30];
+ v_[3] = v_[295] * v_[54] + v_[307] * v_[53];
+ v_[173] = v_[295] * v_[53] + v_[307] * v_[52];
+ v_[334] = v_[330] * v_[79] + v_[208] * v_[77] + v_[173] * v_[78];
+ v_[347] = w_in[11] + v_[173];
+ v_[231] = v_[334] * 1.547475 + v_[347] * 0.038686875;
+ v_[335] = v_[330] * v_[77] + v_[208] * v_[76] + v_[173] * v_[81];
+ v_[112] = v_[335] * 1.547475;
+ v_[307] =
+ v_[14] * v_[53] + v_[271] * v_[52] + v_[295] * v_[67] + v_[307] * v_[68] + v_[6] * 0.02075 + v_[3] * -0.184;
+ v_[295] = v_[6] * v_[86] + v_[3] * v_[77];
+ v_[271] = v_[6] * v_[77] + v_[3] * v_[76];
+ v_[14] = v_[307] * -0.038686875 + v_[347] * -0.000829 + v_[295] * 0.003227 + v_[271] * 0.000198;
+ v_[216] = v_[347] * 1.5e-05 + v_[295] * 0.000198 + v_[271] * 0.010737;
+ v_[100] = v_[335] * 1.547475;
+ v_[145] = 0 - v_[100];
+ v_[105] = v_[307] * 1.547475 + (0 - v_[295]) * 0.038686875;
+ v_[281] = v_[145] * v_[91] + v_[105] * v_[85] + v_[112] * w_in[5];
+ v_[101] = v_[334] * -1.547475;
+ v_[280] = v_[347] * 0.038686875;
+ v_[204] = 0 - v_[101] + v_[280];
+ v_[110] = 0 - v_[105];
+ v_[269] = v_[204] * v_[91] + v_[110] * v_[87] - v_[231] * w_in[5];
+ v_[32] = (0 - v_[347]) * 1.5e-05 + v_[295] * 0.000198 + v_[271] * 0.00605;
+ v_[334] = v_[334] * 0.038686875 + v_[347] * -0.00751 + (0 - v_[295]) * -0.000829 + v_[271] * 1.5e-05;
+ v_[218] = (0 - v_[347]) * 0.000198;
+ v_[335] = (0 - v_[335]) * 0.038686875 + v_[218] - (0 - v_[271]) * -0.000829;
+ v_[318] = v_[100] * v_[89] + v_[110] * v_[82] + v_[32] * v_[91] + v_[334] * v_[85] + v_[335] * v_[87] +
+ v_[335] * v_[87] + v_[216] * w_in[5];
+ v_[280] = v_[101] - v_[280];
+ v_[271] = v_[307] * 0.038686875 + v_[347] * -0.000829 + (0 - v_[295]) * -0.00146 + (0 - v_[271]) * 0.000198;
+ v_[218] = 0 - v_[218] - v_[295] * 1.5e-05;
+ v_[295] = v_[280] * v_[89] + v_[105] * v_[94] + v_[271] * v_[91] + v_[334] * v_[87] + v_[218] * v_[85] +
+ v_[218] * v_[85] - v_[14] * w_in[5];
+ v_[307] = v_[173] * v_[93] + v_[231] * v_[57] + v_[281] * v_[58];
+ v_[347] = v_[173] * v_[97] + v_[112] * v_[57] + v_[269] * v_[58];
+ v_[101] = 0 - v_[248];
+ v_[337] = -v_[247];
+ v_[41] = v_[101] * v_[55] + v_[337] * v_[71];
+ v_[126] = -v_[247];
+ v_[213] = 0.02075 * v_[247] + 0.184 * v_[101];
+ v_[259] = v_[126] * v_[64] + v_[101] * v_[80] + v_[213] * v_[58];
+ v_[272] = 0.184 * v_[247] - 0.02075 * v_[101];
+ v_[286] = v_[41] * v_[87] + v_[87] * v_[41];
+ v_[123] = 1.547475 * (v_[41] * v_[89] - v_[91] * v_[259]) +
+ 1.547475 * (v_[101] * v_[45] + v_[247] * v_[70] + v_[272] * v_[57] + v_[259] * w_in[5]) -
+ 0.038686875 * v_[286];
+ v_[129] = v_[101] * v_[64] + v_[247] * v_[80] + v_[272] * v_[58];
+ v_[350] = -v_[129];
+ v_[84] = v_[247] * v_[55] + v_[101] * v_[71];
+ v_[199] = v_[84] * v_[87] + v_[85] * v_[41];
+ v_[250] = 1.547475 * (v_[126] * v_[45] + v_[101] * v_[70] + v_[213] * v_[57] + v_[350] * w_in[5]) +
+ 0.038686875 * v_[199] + -1.547475 * (v_[84] * v_[89] - v_[91] * v_[129]);
+ v_[107] = -v_[84];
+ v_[309] = v_[337] * v_[36] + v_[101] * v_[59] + v_[107] * w_in[5];
+ v_[217] = v_[101] * v_[36] + v_[247] * v_[59] + v_[41] * w_in[5];
+ v_[117] = v_[41] * v_[91];
+ v_[314] = v_[84] * v_[91];
+ v_[286] = 0.000198 * v_[309] + 0.010737 * v_[217] + 0.00605 * v_[117] + 1.5e-05 * v_[199] - 0.000198 * v_[314] -
+ -0.000829 * (0 - v_[286]);
+ v_[314] = 0.003227 * v_[309] + 0.000198 * v_[217] + 0.000198 * v_[117] +
+ 1.5e-05 * (0 - (v_[84] * v_[85] + v_[85] * v_[84])) -
+ 0.038686875 * (v_[84] * v_[94] + v_[85] * v_[259] - (v_[41] * v_[82] + v_[87] * v_[129])) -
+ -0.00146 * v_[314] - -0.000829 * v_[199];
+ v_[117] = v_[330] * v_[126] + v_[208] * v_[101] + v_[173] * v_[213];
+ v_[217] = v_[117] * 1.547475;
+ v_[309] = v_[330] * v_[101] + v_[208] * v_[247] + v_[173] * v_[272];
+ v_[199] = v_[309] * 1.547475;
+ v_[188] = v_[6] * v_[337] + v_[3] * v_[101];
+ v_[7] = v_[6] * v_[101] + v_[3] * v_[247];
+ v_[242] = v_[188] * 0.003227 + v_[7] * 0.000198;
+ v_[340] = v_[188] * 0.000198 + v_[7] * 0.010737;
+ v_[285] = v_[309] * 1.547475;
+ v_[292] = 0 - v_[285];
+ v_[215] = (0 - v_[188]) * 0.038686875;
+ v_[262] = v_[292] * v_[91] + v_[105] * v_[84] + v_[215] * v_[85] + v_[199] * w_in[5];
+ v_[127] = v_[117] * -1.547475;
+ v_[229] = 0 - v_[127];
+ v_[194] = 0 - v_[215];
+ v_[151] = v_[229] * v_[91] + v_[110] * v_[41] + v_[194] * v_[87] - v_[217] * w_in[5];
+ v_[237] = v_[188] * 0.000198 + v_[7] * 0.00605;
+ v_[300] = v_[117] * 0.038686875 + (0 - v_[188]) * -0.000829 + v_[7] * 1.5e-05;
+ v_[309] = (0 - v_[309]) * 0.038686875;
+ v_[27] = (0 - v_[7]) * -0.000829;
+ v_[158] = v_[309] - v_[27];
+ v_[158] = v_[285] * v_[89] + v_[110] * v_[129] + v_[194] * v_[82] + v_[237] * v_[91] + v_[334] * v_[84] +
+ v_[300] * v_[85] + v_[335] * v_[41] + v_[335] * v_[41] + v_[158] * v_[87] + v_[158] * v_[87] +
+ v_[340] * w_in[5];
+ v_[194] = (0 - v_[188]) * -0.00146 + (0 - v_[7]) * 0.000198;
+ v_[335] = v_[188] * 1.5e-05;
+ v_[110] = 0 - v_[335];
+ v_[110] = v_[127] * v_[89] + v_[105] * v_[259] + v_[215] * v_[94] + v_[194] * v_[91] + v_[334] * v_[41] +
+ v_[300] * v_[87] + v_[218] * v_[84] + v_[218] * v_[84] + v_[110] * v_[85] + v_[110] * v_[85] -
+ v_[242] * w_in[5];
+ v_[300] = v_[173] * v_[250] + v_[217] * v_[57] + v_[262] * v_[58];
+ v_[173] = v_[173] * v_[123] + v_[199] * v_[57] + v_[151] * v_[58];
+ hes[65] = (0 - (v_[330] * v_[97] + v_[208] * v_[93] + v_[6] * v_[102] + v_[3] * v_[103] + v_[231] * v_[70] +
+ v_[112] * v_[45] + v_[14] * v_[59] + v_[216] * v_[36] + v_[281] * v_[80] + v_[269] * v_[64] +
+ v_[318] * v_[55] + v_[295] * v_[71] + v_[307] * 0.184 + (0 - v_[347]) * 0.02075)) *
+ v_[77] -
+ (v_[330] * v_[123] + v_[208] * v_[250] + v_[6] * v_[286] + v_[3] * v_[314] + v_[217] * v_[70] +
+ v_[199] * v_[45] + v_[242] * v_[59] + v_[340] * v_[36] + v_[262] * v_[80] + v_[151] * v_[64] +
+ v_[158] * v_[55] + v_[110] * v_[71] + v_[300] * 0.184 + (0 - v_[173]) * 0.02075) *
+ v_[248] +
+ (v_[208] * v_[123] + v_[3] * v_[286] + v_[199] * v_[70] + v_[340] * v_[59] + v_[151] * v_[80] +
+ v_[110] * v_[55] - (v_[330] * v_[250] + v_[217] * v_[45] + v_[262] * v_[64]) + v_[300] * 0.02075 +
+ v_[173] * 0.184 - (v_[6] * v_[314] + v_[242] * v_[36] + v_[158] * v_[71])) *
+ v_[247] -
+ (v_[208] * v_[97] + v_[3] * v_[102] + v_[112] * v_[70] + v_[216] * v_[59] + v_[269] * v_[80] +
+ v_[295] * v_[55] - (v_[330] * v_[93] + v_[231] * v_[45] + v_[281] * v_[64]) + v_[307] * 0.02075 +
+ v_[347] * 0.184 - (v_[6] * v_[103] + v_[14] * v_[36] + v_[318] * v_[71])) *
+ v_[76];
+ v_[127] = v_[100] * v_[41] + v_[285] * v_[87] + v_[280] * v_[84] + v_[127] * v_[85];
+ v_[285] = v_[231] * v_[101] + v_[217] * v_[77] + v_[112] * v_[247] + v_[199] * v_[76];
+ v_[280] = v_[127] + v_[285] * w_in[4];
+ v_[100] = v_[188] * -0.038686875;
+ v_[173] = v_[281] * v_[101] + v_[262] * v_[77] + v_[269] * v_[247] + v_[151] * v_[76] - v_[100] * w_in[4];
+ v_[300] = v_[231] * v_[126] + v_[217] * v_[79] + v_[112] * v_[101] + v_[199] * v_[77];
+ v_[314] = v_[280] * v_[52] + v_[173] * v_[53] + v_[300] * w_in[3];
+ v_[286] = v_[100] * v_[52] + v_[285] * v_[53];
+ v_[126] = v_[281] * v_[126] + v_[262] * v_[79] + v_[269] * v_[101] + v_[151] * v_[77] - v_[286] * w_in[3];
+ v_[250] = v_[100] * v_[53] + v_[285] * v_[62];
+ v_[123] = v_[250] * -1;
+ v_[347] = v_[314] * v_[28] + v_[126] * v_[30] + v_[123] * w_in[2];
+ v_[307] = v_[280] * v_[53] + v_[173] * v_[62];
+ v_[3] = v_[286] * v_[28] + v_[300] * v_[30];
+ v_[6] = v_[307] * -1 - v_[3] * w_in[2];
+ v_[335] = v_[309] + v_[335] + v_[27];
+ v_[335] = v_[145] * v_[259] + v_[292] * v_[94] + v_[204] * v_[129] + v_[229] * v_[82] + v_[32] * v_[41] +
+ v_[237] * v_[87] + v_[271] * v_[84] + v_[194] * v_[85] + v_[335] * v_[91] + v_[335] * v_[91];
+ hes[71] = v_[231] * v_[350] + v_[217] * v_[83] + v_[112] * v_[259] + v_[199] * v_[94] + v_[14] * v_[107] +
+ v_[242] * v_[98] + v_[216] * v_[41] + v_[340] * v_[87] + v_[335];
+ v_[107] = v_[100] * -0.184 + v_[14] * v_[101] + v_[242] * v_[77] + v_[216] * v_[247] + v_[340] * v_[76];
+ v_[335] = v_[335] + v_[281] * v_[213] + v_[262] * v_[78] + v_[269] * v_[272] + v_[151] * v_[81] + v_[107] * w_in[4];
+ v_[7] = v_[117] * 0.038686875 + v_[188] * -0.000829 + v_[7] * 1.5e-05 + v_[231] * v_[213] + v_[217] * v_[78] +
+ v_[112] * v_[272] + v_[199] * v_[81];
+ v_[247] = v_[127] * -0.184 + v_[318] * v_[101] + v_[158] * v_[77] + v_[295] * v_[247] + v_[110] * v_[76] -
+ v_[7] * w_in[4];
+ v_[340] = v_[100] * 0.02075 + v_[14] * v_[337] + v_[242] * v_[86] + v_[216] * v_[101] + v_[340] * v_[77];
+ v_[242] = v_[280] * v_[68] + v_[173] * v_[61] + v_[335] * v_[52] + v_[247] * v_[53] + v_[340] * w_in[3];
+ v_[127] = v_[127] * 0.02075 + v_[318] * v_[337] + v_[158] * v_[86] + v_[295] * v_[101] + v_[110] * v_[77];
+ hes[70] = v_[100] * v_[90] + v_[285] * v_[69] + v_[7] * v_[56] + v_[107] * v_[58] + v_[127];
+ v_[90] = v_[100] * v_[68] + v_[285] * v_[61] + v_[7] * v_[52] + v_[107] * v_[53];
+ v_[127] = v_[127] - v_[90] * w_in[3];
+ v_[7] = v_[286] * v_[43] + v_[300] * v_[42] +
+ (v_[100] * v_[67] + v_[285] * v_[60] + v_[7] * v_[53] + v_[107] * v_[54]) * -1;
+ v_[307] = v_[307] * -0.304 + v_[242] * v_[28] + v_[127] * v_[30] + v_[7] * w_in[2];
+ v_[247] = v_[280] * v_[67] + v_[173] * v_[60] + v_[335] * v_[53] + v_[247] * v_[54];
+ hes[69] = v_[286] * v_[65] + v_[300] * v_[44] + v_[90] * v_[33] + v_[340] * v_[35] + v_[247];
+ v_[250] = v_[250] * -0.304 + v_[90] * v_[28] + v_[340] * v_[30];
+ v_[247] = v_[314] * v_[43] + v_[126] * v_[42] + v_[247] * -1 - v_[250] * w_in[2];
+ v_[90] = v_[90] * v_[31] + v_[340] * v_[28];
+ v_[127] = v_[242] * v_[31] + v_[127] * v_[28];
+ hes[68] = v_[3] * v_[40] + v_[123] * v_[21] + v_[250] * v_[13] + v_[7] * v_[15] + v_[127];
+ v_[250] = v_[3] * v_[19] + v_[123] * v_[18] + v_[250] * v_[9] + v_[7] * v_[10];
+ hes[66] = (v_[347] * v_[19] + v_[6] * v_[18] + v_[307] * v_[9] + v_[247] * v_[10] + v_[90] * w_in[1]) * v_[4] +
+ (v_[127] - v_[250] * w_in[1]) * v_[0];
+ hes[67] =
+ v_[347] * v_[20] + v_[6] * v_[38] + v_[307] * v_[10] + v_[247] * v_[11] + v_[250] * v_[2] + v_[90] * v_[5];
+ v_[250] = w_in[6] * v_[4];
+ v_[90] = w_in[7] * v_[20] + v_[250] * v_[19];
+ v_[247] = w_in[7] * v_[11] + v_[250] * v_[10];
+ v_[307] = v_[90] * v_[30] + v_[247] * v_[42];
+ v_[6] = w_in[7] * v_[38] + v_[250] * v_[18];
+ v_[347] = w_in[7] * v_[10] + v_[250] * v_[9];
+ v_[5] = v_[6] * -1 + v_[347] * -0.304;
+ v_[2] = v_[90] * v_[28] + v_[247] * v_[43];
+ v_[127] = w_in[9] + v_[247] * -1;
+ v_[7] = w_in[6] * v_[0];
+ v_[3] = w_in[8] + v_[7];
+ v_[123] = v_[3] * v_[31] + v_[347] * v_[28];
+ v_[40] = v_[5] * v_[62] + v_[2] * v_[53] + v_[127] * v_[60] + v_[123] * v_[61];
+ v_[21] = v_[127] * v_[53] + v_[123] * v_[52];
+ v_[15] = v_[307] * v_[77] + v_[40] * v_[76] + v_[21] * v_[81];
+ v_[13] = v_[15] * 1.547475;
+ v_[242] = v_[9] * v_[4];
+ v_[340] = v_[28] * v_[242] + v_[31] * v_[0];
+ v_[126] = v_[10] * v_[4];
+ v_[314] = -1 * v_[126];
+ v_[286] = v_[53] * v_[340] + v_[54] * v_[314];
+ v_[300] = v_[30] * v_[242] + v_[28] * v_[0];
+ v_[65] = v_[77] * v_[286] + v_[86] * v_[300];
+ v_[44] = v_[307] * v_[79] + v_[40] * v_[77] + v_[21] * v_[78];
+ v_[35] = v_[44] * -1.547475;
+ v_[33] = w_in[11] + v_[21];
+ v_[335] = v_[33] * 0.038686875;
+ v_[173] = v_[35] - v_[335];
+ v_[280] = v_[76] * v_[286] + v_[77] * v_[300];
+ v_[107] = v_[13] * v_[65] + v_[173] * v_[280];
+ v_[100] = v_[40] * 2.1032 + v_[21] * 0.057838;
+ v_[285] = 0 - v_[100];
+ v_[69] = v_[307] * 2.1032;
+ v_[58] = v_[107] + v_[285] * v_[300] + v_[69] * v_[286];
+ v_[56] = 0 - v_[13];
+ v_[110] = v_[52] * v_[340] + v_[53] * v_[314];
+ v_[158] = v_[5] * v_[53] + v_[2] * v_[52] + v_[127] * v_[67] + v_[123] * v_[68];
+ v_[337] = v_[3] * v_[28] + v_[347] * v_[30];
+ v_[101] = w_in[10] + v_[337];
+ v_[295] = v_[127] * v_[54] + v_[123] * v_[53];
+ v_[318] = v_[158] + v_[101] * 0.02075 + v_[295] * -0.184;
+ v_[216] = v_[101] * v_[86] + v_[295] * v_[77];
+ v_[14] = v_[318] * 1.547475 + (0 - v_[216]) * 0.038686875;
+ v_[188] = v_[56] * v_[110] + v_[14] * v_[280];
+ v_[335] = 0 - v_[35] + v_[335];
+ v_[35] = 0 - v_[14];
+ v_[199] = v_[335] * v_[110] + v_[35] * v_[65];
+ v_[217] = v_[158] * -2.1032 + v_[295] * 0.057838;
+ v_[117] = 0 - v_[217];
+ v_[272] = 0 - v_[69];
+ v_[213] = v_[188] * v_[77] + v_[199] * v_[76] + v_[117] * v_[300] + v_[272] * v_[110];
+ v_[112] = v_[307] * 1.7423722 + (0 - v_[127]) * -0.008711861 + v_[123] * 1.52322944854339e-09;
+ v_[231] = 0 - v_[112];
+ v_[151] = v_[5] * 1.7423722 + (0 - v_[123]) * 0.160298259823722 + v_[337] * -0.008711861;
+ v_[262] = v_[58] * v_[52] + v_[213] * v_[53] + v_[231] * v_[314] + v_[151] * v_[300];
+ v_[269] = v_[2] * -1.7423722;
+ v_[281] = v_[127] * 0.160298259823722;
+ v_[350] = v_[337] * 1.52322944854339e-09;
+ v_[259] = 0 - v_[269] + v_[281] - v_[350];
+ v_[41] = 0 - v_[151];
+ v_[98] = v_[188] * v_[79] + v_[199] * v_[77] + v_[100] * v_[110] + v_[217] * v_[286] + v_[259] * v_[314] +
+ v_[41] * v_[340];
+ v_[94] = 0 - (v_[6] * 2.327 + (0 - v_[3]) * 0.01438086 + v_[347] * 0.647967112);
+ v_[87] = (0 - v_[347]) * -0.0055615274403 + v_[247] * 0.01438086;
+ v_[83] = v_[262] * v_[28] + v_[98] * v_[30] + v_[94] * v_[0] + v_[87] * v_[126];
+ v_[350] = v_[269] - v_[281] + v_[350];
+ v_[281] = v_[58] * v_[53] + v_[213] * v_[62] + v_[112] * v_[340] + v_[350] * v_[300];
+ v_[269] = v_[3] * -0.0055615274403 - (v_[90] * -2.327 + v_[247] * 0.647967112);
+ v_[194] = 0 - v_[87];
+ v_[237] = v_[281] * -1 + v_[269] * v_[0] + v_[194] * v_[242];
+ v_[229] = v_[19] * v_[4];
+ v_[292] = v_[42] * v_[126] + v_[30] * v_[229];
+ v_[84] = v_[18] * v_[4];
+ v_[129] = -0.304 * v_[242] + -1 * v_[84];
+ v_[271] = v_[43] * v_[126] + v_[28] * v_[229];
+ v_[32] = v_[60] * v_[314] + v_[61] * v_[340] + v_[62] * v_[129] + v_[53] * v_[271];
+ v_[204] = v_[79] * v_[292] + v_[77] * v_[32] + v_[78] * v_[110];
+ v_[145] = v_[77] * v_[292] + v_[76] * v_[32] + v_[81] * v_[110];
+ v_[91] = v_[101] * v_[77] + v_[295] * v_[76];
+ v_[85] = (0 - v_[33]) * 1.5e-05 + v_[216] * 0.000198 + v_[91] * 0.00605;
+ v_[82] = v_[318] * 0.038686875 + v_[33] * -0.000829 + (0 - v_[216]) * -0.00146 + (0 - v_[91]) * 0.000198;
+ v_[27] = (0 - v_[15]) * 0.038686875;
+ v_[309] = v_[216] * 1.5e-05;
+ v_[208] = (0 - v_[91]) * -0.000829;
+ v_[330] = v_[27] + v_[309] + v_[208];
+ v_[330] = v_[56] * v_[204] + v_[335] * v_[145] + v_[85] * v_[65] + v_[82] * v_[280] + v_[330] * v_[110] +
+ v_[330] * v_[110];
+ v_[335] = v_[158] * 0.057838 + (0 - v_[101]) * -0.012652 + v_[21] * -0.001387 + v_[295] * -0.018069;
+ v_[56] = v_[101] * 0.009683 + (0 - v_[21]) * -0.001243 + v_[295] * -0.012652;
+ v_[248] = (0 - v_[307]) * 0.057838;
+ v_[102] = (0 - v_[101]) * -0.001387;
+ v_[103] = (0 - v_[295]) * -0.001243;
+ v_[97] = v_[248] + v_[102] - v_[103];
+ v_[97] = v_[330] + v_[188] * v_[78] + v_[199] * v_[81] + v_[100] * v_[292] + v_[272] * v_[32] + v_[335] * v_[300] +
+ v_[56] * v_[286] + v_[97] * v_[110] + v_[97] * v_[110];
+ v_[272] = v_[67] * v_[314] + v_[68] * v_[340] + v_[53] * v_[129] + v_[52] * v_[271];
+ v_[199] = 0.02075 * v_[300] + -0.184 * v_[286] + v_[272];
+ v_[188] = v_[44] * 0.038686875 + v_[33] * -0.00751 + (0 - v_[216]) * -0.000829 + v_[91] * 1.5e-05;
+ v_[100] = (0 - v_[33]) * 0.000198;
+ v_[208] = v_[27] + v_[100] - v_[208];
+ v_[208] = v_[13] * v_[199] + v_[35] * v_[145] + v_[85] * v_[110] + v_[188] * v_[280] + v_[208] * v_[65] +
+ v_[208] * v_[65];
+ v_[100] = 0 - v_[100] - v_[309];
+ v_[100] = v_[173] * v_[199] + v_[14] * v_[204] + v_[82] * v_[110] + v_[188] * v_[65] + v_[100] * v_[280] +
+ v_[100] * v_[280];
+ v_[188] = v_[40] * 0.057838 + v_[101] * -0.001243 + (0 - v_[21]) * -0.008386 + (0 - v_[295]) * -0.001387;
+ v_[199] = v_[21] * -0.012652;
+ v_[102] = v_[248] - v_[102] - v_[199];
+ v_[102] = v_[107] * -0.184 + v_[208] * v_[77] + v_[100] * v_[76] + v_[217] * v_[292] + v_[69] * v_[272] +
+ v_[188] * v_[300] + v_[56] * v_[110] + v_[102] * v_[286] + v_[102] * v_[286];
+ v_[56] = v_[5] * -0.008711861 + v_[2] * 1.52322944854339e-09 + (0 - v_[127]) * -0.00021200017 +
+ v_[123] * 0.0036857284 + v_[337] * 0.077424;
+ v_[217] = v_[2] * 0.160298259823722 + v_[307] * -0.008711861 + v_[127] * -0.06337651 +
+ (0 - v_[123]) * -0.0022920002 + v_[337] * -0.00021200017;
+ v_[69] = (0 - v_[5]) * 1.52322944854339e-09;
+ v_[248] = (0 - v_[307]) * 0.160298259823722;
+ v_[82] = (0 - v_[127]) * 0.0036857284;
+ v_[14] = (0 - v_[337]) * -0.0022920002;
+ v_[173] = v_[69] + v_[248] + v_[82] - v_[14];
+ v_[173] = v_[58] * v_[68] + v_[213] * v_[61] + v_[97] * v_[52] + v_[102] * v_[53] + v_[112] * v_[129] +
+ v_[41] * v_[292] + v_[56] * v_[314] + v_[217] * v_[300] + v_[173] * v_[340] + v_[173] * v_[340];
+ v_[199] = v_[199] + v_[103];
+ v_[199] = v_[107] * 0.02075 + v_[208] * v_[86] + v_[100] * v_[77] + v_[285] * v_[272] + v_[117] * v_[32] +
+ v_[335] * v_[110] + v_[188] * v_[286] + v_[199] * v_[300] + v_[199] * v_[300];
+ v_[188] = v_[5] * 0.160298259823722 + v_[307] * 1.52322944854339e-09 + v_[127] * -0.0022920002 +
+ (0 - v_[123]) * 0.01404749 + (0 - v_[337]) * 0.0036857284;
+ v_[100] = (0 - v_[2]) * -0.008711861;
+ v_[208] = v_[123] * -0.00021200017;
+ v_[82] = v_[69] + v_[100] - v_[82] - v_[208];
+ v_[82] = v_[199] + v_[350] * v_[129] + v_[151] * v_[271] + v_[188] * v_[314] + v_[217] * v_[340] +
+ v_[82] * v_[300] + v_[82] * v_[300];
+ v_[217] = v_[90] * 0.647967112 + (0 - v_[3]) * -0.011715295 + v_[347] * 5.399998e-05 + v_[247] * -0.199538951;
+ v_[129] = v_[90] * -0.0055615274403 + v_[6] * 0.01438086 + v_[3] * 0.00750500000000001 +
+ (0 - v_[347]) * -0.0037997814 + v_[247] * -0.011715295;
+ v_[350] = (0 - v_[6]) * -0.0055615274403;
+ v_[151] = (0 - v_[3]) * 5.399998e-05;
+ v_[69] = (0 - v_[247]) * -0.0037997814;
+ v_[335] = v_[350] + v_[151] - v_[69];
+ v_[335] = v_[281] * -0.304 + v_[173] * v_[28] + v_[82] * v_[30] + v_[194] * v_[84] + v_[217] * v_[0] +
+ v_[129] * v_[126] + v_[335] * v_[242] + v_[335] * v_[242];
+ v_[208] = v_[100] + v_[248] + v_[208] + v_[14];
+ v_[208] = v_[58] * v_[67] + v_[213] * v_[60] + v_[97] * v_[53] + v_[102] * v_[54] + v_[231] * v_[271] +
+ v_[259] * v_[292] + v_[56] * v_[340] + v_[188] * v_[300] + v_[208] * v_[314] + v_[208] * v_[314];
+ v_[188] = v_[6] * 0.647967112 + v_[3] * -0.0037997814 + (0 - v_[347]) * -0.192033951 + (0 - v_[247]) * 5.399998e-05;
+ v_[56] = (0 - v_[90]) * 0.01438086;
+ v_[102] = v_[347] * -0.011715295;
+ v_[151] = v_[56] - v_[151] - v_[102];
+ v_[151] = v_[262] * v_[43] + v_[98] * v_[42] + v_[208] * -1 + v_[87] * v_[229] + v_[188] * v_[0] +
+ v_[129] * v_[242] + v_[151] * v_[126] + v_[151] * v_[126];
+ v_[129] = w_in[7] * 0.046852534 + (0 - v_[250]) * -0.002752 + v_[7] * -0.022851627;
+ v_[87] = (0 - w_in[7]) * 0.0055279857;
+ v_[98] = v_[87] - (0 - v_[7]) * -0.002752;
+ v_[102] = v_[56] + v_[350] + v_[102] + v_[69];
+ v_[102] = v_[173] * v_[31] + v_[82] * v_[28] + v_[94] * v_[229] + v_[269] * v_[84] + v_[217] * v_[242] +
+ v_[188] * v_[126] + v_[102] * v_[0] + v_[102] * v_[0];
+ v_[87] = 0 - v_[87] - v_[250] * -0.022851627;
+ hes[78] = (v_[83] * v_[19] + v_[237] * v_[18] + v_[335] * v_[9] + v_[151] * v_[10] + v_[129] * v_[0] +
+ v_[98] * v_[4] + v_[98] * v_[4]) *
+ v_[4] +
+ (v_[102] + v_[129] * v_[4] + v_[87] * v_[0] + v_[87] * v_[0]) * v_[0];
+ v_[87] = v_[318] * 1.547475 + v_[216] * -0.038686875;
+ v_[98] = v_[87] + v_[158] * 2.1032 + v_[295] * -0.057838;
+ v_[129] = v_[44] * 1.547475 + v_[33] * 0.038686875;
+ v_[15] = v_[15] * 1.547475;
+ v_[188] = v_[129] * v_[77] + v_[15] * v_[76] + v_[40] * 2.1032 + v_[21] * 0.057838;
+ v_[217] = v_[98] * v_[52] + v_[188] * v_[53] + v_[2] * 1.7423722 + v_[127] * 0.160298259823722 +
+ v_[337] * -1.52322944854339e-09;
+ v_[82] = v_[129] * v_[79] + v_[15] * v_[77] + v_[307] * 2.1032 + v_[307] * 1.7423722 + v_[127] * 0.008711861 +
+ v_[123] * 1.52322944854339e-09;
+ v_[173] = v_[217] * v_[28] + v_[82] * v_[30] + v_[90] * 2.327 + v_[3] * -0.0055615274403 + v_[247] * -0.647967112;
+ v_[269] =
+ v_[98] * v_[53] + v_[188] * v_[62] + v_[5] * 1.7423722 + v_[123] * -0.160298259823722 + v_[337] * -0.008711861;
+ v_[94] = v_[269] * -1 + v_[6] * 2.327 + v_[3] * -0.01438086 + v_[347] * 0.647967112;
+ v_[44] = v_[44] * 0.038686875 + v_[33] * 0.009277 + v_[216] * -0.000829 + v_[91] * 1.5e-05 + v_[129] * v_[78] +
+ v_[15] * v_[81] + v_[40] * 0.057838 + v_[101] * -0.001243 + v_[21] * 0.029115 + v_[295] * -0.001387;
+ v_[318] = v_[318] * -0.038686875 + v_[33] * -0.000829 + v_[216] * 0.003227 + v_[91] * 0.000198;
+ v_[91] = v_[33] * 1.5e-05 + v_[216] * 0.000198 + v_[91] * 0.010737;
+ hes[83] = v_[129] * (-v_[145]) + v_[15] * v_[204] + v_[318] * (-v_[280]) + v_[91] * v_[65] + v_[330];
+ v_[158] = v_[87] * -0.184 + v_[318] * v_[77] + v_[91] * v_[76] + v_[158] * -0.057838 + v_[101] * -0.012652 +
+ v_[21] * -0.001387 + v_[295] * 0.019432;
+ hes[82] = v_[98] * (-v_[32]) + v_[188] * v_[272] + v_[44] * (-v_[286]) + v_[158] * v_[110] + v_[199];
+ v_[199] = v_[98] * v_[68] + v_[188] * v_[61] + v_[44] * v_[52] + v_[158] * v_[53] + v_[5] * -0.160298259823722 +
+ v_[307] * 1.52322944854339e-09 + v_[127] * -0.0022920002 + v_[123] * 0.01828449 + v_[337] * 0.0036857284;
+ v_[91] = v_[87] * 0.02075 + v_[318] * v_[86] + v_[91] * v_[77] + v_[101] * 0.011046 + v_[21] * -0.001243 +
+ v_[295] * -0.012652 + v_[5] * -0.008711861 + v_[2] * -1.52322944854339e-09 + v_[127] * -0.00021200017 +
+ v_[123] * 0.0036857284 + v_[337] * 0.081661;
+ hes[81] = v_[217] * (-v_[292]) + v_[82] * v_[271] + v_[199] * (-v_[300]) + v_[91] * v_[340] + v_[208];
+ v_[269] = v_[269] * -0.304 + v_[199] * v_[28] + v_[91] * v_[30] + v_[6] * 0.647967112 + v_[3] * -0.0037997814 +
+ v_[347] * 0.20986895 + v_[247] * 5.399998e-05;
+ v_[158] = v_[217] * v_[43] + v_[82] * v_[42] +
+ (v_[98] * v_[67] + v_[188] * v_[60] + v_[44] * v_[53] + v_[158] * v_[54] + v_[2] * 0.160298259823722 +
+ v_[307] * 0.008711861 + v_[127] * 0.09570849 + v_[123] * -0.0022920002 + v_[337] * -0.00021200017) *
+ -1 +
+ v_[90] * -0.647967112 + v_[3] * -0.011715295 + v_[347] * 5.399998e-05 + v_[247] * 0.20236395;
+ hes[79] =
+ v_[83] * v_[20] + v_[237] * v_[38] + v_[335] * v_[10] + v_[151] * v_[11] +
+ (w_in[7] * -0.002752 + (0 - v_[250]) * 0.012390532 + (0 - v_[7]) * 0.0055279857) * v_[0] +
+ (v_[173] * v_[19] + v_[94] * v_[18] + v_[269] * v_[9] + v_[158] * v_[10] + w_in[7] * -0.002752 +
+ v_[250] * 0.08585553 + v_[7] * 0.0055279857) *
+ (-v_[0]) +
+ (v_[199] * v_[31] + v_[91] * v_[28] + v_[90] * -0.0055615274403 + v_[6] * -0.01438086 + v_[3] * 0.010329999 +
+ v_[347] * -0.0037997814 + v_[247] * -0.011715295 + w_in[7] * -0.022851627 + v_[250] * 0.0055279857 +
+ v_[7] * 0.039002996 + (0 - w_in[7]) * -0.022851627 + v_[250] * 0.0055279857 + v_[7] * -0.034462002) *
+ v_[4];
+ hes[80] = v_[173] * (-v_[84]) + v_[94] * v_[229] + v_[269] * (-v_[126]) + v_[158] * v_[242] + v_[102];
+ v_[158] = w_in[6] * v_[4];
+ v_[269] = w_in[7] * v_[20] + v_[158] * v_[19];
+ v_[94] = w_in[7] * v_[11] + v_[158] * v_[10];
+ v_[173] = v_[269] * v_[30] + v_[94] * v_[42];
+ v_[102] = w_in[7] * v_[38] + v_[158] * v_[18];
+ v_[84] = w_in[7] * v_[10] + v_[158] * v_[9];
+ v_[229] = v_[102] * -1 + v_[84] * -0.304;
+ v_[126] = v_[269] * v_[28] + v_[94] * v_[43];
+ v_[242] = w_in[9] + v_[94] * -1;
+ v_[91] = w_in[6] * v_[0];
+ v_[199] = w_in[8] + v_[91];
+ v_[151] = v_[199] * v_[31] + v_[84] * v_[28];
+ v_[335] = v_[229] * v_[62] + v_[126] * v_[53] + v_[242] * v_[60] + v_[151] * v_[61];
+ v_[237] = v_[242] * v_[53] + v_[151] * v_[52];
+ v_[83] = v_[173] * v_[77] + v_[335] * v_[76] + v_[237] * v_[81];
+ v_[3] = v_[83] * 1.547475;
+ v_[7] = v_[28] * v_[10];
+ v_[347] = -1 * v_[11];
+ v_[6] = v_[53] * v_[7] + v_[54] * v_[347];
+ v_[247] = v_[30] * v_[10];
+ v_[90] = v_[77] * v_[6] + v_[86] * v_[247];
+ v_[250] = v_[173] * v_[79] + v_[335] * v_[77] + v_[237] * v_[78];
+ v_[44] = v_[250] * -1.547475;
+ v_[82] = w_in[11] + v_[237];
+ v_[217] = v_[82] * 0.038686875;
+ v_[188] = v_[44] - v_[217];
+ v_[98] = v_[76] * v_[6] + v_[77] * v_[247];
+ v_[337] = v_[3] * v_[90] + v_[188] * v_[98];
+ v_[123] = v_[335] * 2.1032 + v_[237] * 0.057838;
+ v_[127] = 0 - v_[123];
+ v_[2] = v_[173] * 2.1032;
+ v_[307] = v_[337] + v_[127] * v_[247] + v_[2] * v_[6];
+ v_[208] = 0 - v_[3];
+ v_[271] = v_[52] * v_[7] + v_[53] * v_[347];
+ v_[292] = v_[229] * v_[53] + v_[126] * v_[52] + v_[242] * v_[67] + v_[151] * v_[68];
+ v_[300] = v_[199] * v_[28] + v_[84] * v_[30];
+ v_[340] = w_in[10] + v_[300];
+ v_[318] = v_[242] * v_[54] + v_[151] * v_[53];
+ v_[87] = v_[292] + v_[340] * 0.02075 + v_[318] * -0.184;
+ v_[295] = v_[340] * v_[86] + v_[318] * v_[77];
+ v_[101] = v_[87] * 1.547475 + (0 - v_[295]) * 0.038686875;
+ v_[21] = v_[208] * v_[271] + v_[101] * v_[98];
+ v_[217] = 0 - v_[44] + v_[217];
+ v_[44] = 0 - v_[101];
+ v_[5] = v_[217] * v_[271] + v_[44] * v_[90];
+ v_[272] = v_[292] * -2.1032 + v_[318] * 0.057838;
+ v_[32] = 0 - v_[272];
+ v_[110] = 0 - v_[2];
+ v_[286] = v_[21] * v_[77] + v_[5] * v_[76] + v_[32] * v_[247] + v_[110] * v_[271];
+ v_[15] = v_[173] * 1.7423722 + (0 - v_[242]) * -0.008711861 + v_[151] * 1.52322944854339e-09;
+ v_[129] = 0 - v_[15];
+ v_[330] = v_[229] * 1.7423722 + (0 - v_[151]) * 0.160298259823722 + v_[300] * -0.008711861;
+ v_[145] = v_[307] * v_[52] + v_[286] * v_[53] + v_[129] * v_[347] + v_[330] * v_[247];
+ v_[204] = v_[126] * -1.7423722;
+ v_[280] = v_[242] * 0.160298259823722;
+ v_[65] = v_[300] * 1.52322944854339e-09;
+ v_[216] = 0 - v_[204] + v_[280] - v_[65];
+ v_[33] = 0 - v_[330];
+ v_[40] =
+ v_[21] * v_[79] + v_[5] * v_[77] + v_[123] * v_[271] + v_[272] * v_[6] + v_[216] * v_[347] + v_[33] * v_[7];
+ v_[56] = (0 - v_[84]) * -0.0055615274403 + v_[94] * 0.01438086;
+ v_[65] = v_[204] - v_[280] + v_[65];
+ v_[280] = v_[307] * v_[53] + v_[286] * v_[62] + v_[15] * v_[7] + v_[65] * v_[247];
+ v_[204] = 0 - v_[56];
+ v_[69] = v_[42] * v_[11] + v_[30] * v_[20];
+ v_[350] = -0.304 * v_[10] + -1 * v_[38];
+ v_[262] = v_[43] * v_[11] + v_[28] * v_[20];
+ v_[97] = v_[60] * v_[347] + v_[61] * v_[7] + v_[62] * v_[350] + v_[53] * v_[262];
+ v_[259] = v_[79] * v_[69] + v_[77] * v_[97] + v_[78] * v_[271];
+ v_[231] = v_[77] * v_[69] + v_[76] * v_[97] + v_[81] * v_[271];
+ v_[213] = v_[340] * v_[77] + v_[318] * v_[76];
+ v_[58] = (0 - v_[82]) * 1.5e-05 + v_[295] * 0.000198 + v_[213] * 0.00605;
+ v_[314] = v_[87] * 0.038686875 + v_[82] * -0.000829 + (0 - v_[295]) * -0.00146 + (0 - v_[213]) * 0.000198;
+ v_[100] = (0 - v_[83]) * 0.038686875;
+ v_[14] = v_[295] * 1.5e-05;
+ v_[248] = (0 - v_[213]) * -0.000829;
+ v_[194] = v_[100] + v_[14] + v_[248];
+ v_[194] = v_[208] * v_[259] + v_[217] * v_[231] + v_[58] * v_[90] + v_[314] * v_[98] + v_[194] * v_[271] +
+ v_[194] * v_[271];
+ v_[217] = v_[292] * 0.057838 + (0 - v_[340]) * -0.012652 + v_[237] * -0.001387 + v_[318] * -0.018069;
+ v_[208] = v_[340] * 0.009683 + (0 - v_[237]) * -0.001243 + v_[318] * -0.012652;
+ v_[281] = (0 - v_[173]) * 0.057838;
+ v_[117] = (0 - v_[340]) * -0.001387;
+ v_[285] = (0 - v_[318]) * -0.001243;
+ v_[107] = v_[281] + v_[117] - v_[285];
+ v_[107] = v_[194] + v_[21] * v_[78] + v_[5] * v_[81] + v_[123] * v_[69] + v_[110] * v_[97] + v_[217] * v_[247] +
+ v_[208] * v_[6] + v_[107] * v_[271] + v_[107] * v_[271];
+ v_[110] = v_[67] * v_[347] + v_[68] * v_[7] + v_[53] * v_[350] + v_[52] * v_[262];
+ v_[5] = 0.02075 * v_[247] + -0.184 * v_[6] + v_[110];
+ v_[21] = v_[250] * 0.038686875 + v_[82] * -0.00751 + (0 - v_[295]) * -0.000829 + v_[213] * 1.5e-05;
+ v_[123] = (0 - v_[82]) * 0.000198;
+ v_[248] = v_[100] + v_[123] - v_[248];
+ v_[248] =
+ v_[3] * v_[5] + v_[44] * v_[231] + v_[58] * v_[271] + v_[21] * v_[98] + v_[248] * v_[90] + v_[248] * v_[90];
+ v_[123] = 0 - v_[123] - v_[14];
+ v_[123] =
+ v_[188] * v_[5] + v_[101] * v_[259] + v_[314] * v_[271] + v_[21] * v_[90] + v_[123] * v_[98] + v_[123] * v_[98];
+ v_[21] = v_[335] * 0.057838 + v_[340] * -0.001243 + (0 - v_[237]) * -0.008386 + (0 - v_[318]) * -0.001387;
+ v_[5] = v_[237] * -0.012652;
+ v_[117] = v_[281] - v_[117] - v_[5];
+ v_[117] = v_[337] * -0.184 + v_[248] * v_[77] + v_[123] * v_[76] + v_[272] * v_[69] + v_[2] * v_[110] +
+ v_[21] * v_[247] + v_[208] * v_[271] + v_[117] * v_[6] + v_[117] * v_[6];
+ v_[208] = v_[229] * -0.008711861 + v_[126] * 1.52322944854339e-09 + (0 - v_[242]) * -0.00021200017 +
+ v_[151] * 0.0036857284 + v_[300] * 0.077424;
+ v_[272] = v_[126] * 0.160298259823722 + v_[173] * -0.008711861 + v_[242] * -0.06337651 +
+ (0 - v_[151]) * -0.0022920002 + v_[300] * -0.00021200017;
+ v_[2] = (0 - v_[229]) * 1.52322944854339e-09;
+ v_[281] = (0 - v_[173]) * 0.160298259823722;
+ v_[314] = (0 - v_[242]) * 0.0036857284;
+ v_[101] = (0 - v_[300]) * -0.0022920002;
+ v_[188] = v_[2] + v_[281] + v_[314] - v_[101];
+ v_[188] = v_[307] * v_[68] + v_[286] * v_[61] + v_[107] * v_[52] + v_[117] * v_[53] + v_[15] * v_[350] +
+ v_[33] * v_[69] + v_[208] * v_[347] + v_[272] * v_[247] + v_[188] * v_[7] + v_[188] * v_[7];
+ v_[5] = v_[5] + v_[285];
+ v_[5] = v_[337] * 0.02075 + v_[248] * v_[86] + v_[123] * v_[77] + v_[127] * v_[110] + v_[32] * v_[97] +
+ v_[217] * v_[271] + v_[21] * v_[6] + v_[5] * v_[247] + v_[5] * v_[247];
+ v_[21] = v_[229] * 0.160298259823722 + v_[173] * 1.52322944854339e-09 + v_[242] * -0.0022920002 +
+ (0 - v_[151]) * 0.01404749 + (0 - v_[300]) * 0.0036857284;
+ v_[123] = (0 - v_[126]) * -0.008711861;
+ v_[248] = v_[151] * -0.00021200017;
+ v_[314] = v_[2] + v_[123] - v_[314] - v_[248];
+ v_[314] = v_[5] + v_[65] * v_[350] + v_[330] * v_[262] + v_[21] * v_[347] + v_[272] * v_[7] + v_[314] * v_[247] +
+ v_[314] * v_[247];
+ v_[272] = v_[269] * -0.0055615274403 + v_[102] * 0.01438086 + v_[199] * 0.00750500000000001 +
+ (0 - v_[84]) * -0.0037997814 + v_[94] * -0.011715295;
+ v_[350] = (0 - v_[199]) * 5.399998e-05;
+ v_[65] = (0 - v_[102]) * -0.0055615274403 + v_[350] - (0 - v_[94]) * -0.0037997814;
+ v_[248] = v_[123] + v_[281] + v_[248] + v_[101];
+ v_[248] = v_[307] * v_[67] + v_[286] * v_[60] + v_[107] * v_[53] + v_[117] * v_[54] + v_[129] * v_[262] +
+ v_[216] * v_[69] + v_[208] * v_[7] + v_[21] * v_[247] + v_[248] * v_[347] + v_[248] * v_[347];
+ v_[350] = (0 - v_[269]) * 0.01438086 - v_[350] - v_[84] * -0.011715295;
+ v_[91] = v_[158] * -0.022851627 + (0 - v_[91]) * -0.002752;
+ hes[91] = (v_[145] * v_[28] + v_[40] * v_[30] + v_[56] * v_[11]) * v_[20] +
+ (v_[280] * -1 + v_[204] * v_[10]) * v_[38] +
+ (v_[280] * -0.304 + v_[188] * v_[28] + v_[314] * v_[30] + v_[204] * v_[38] + v_[272] * v_[11] +
+ v_[65] * v_[10] + v_[65] * v_[10]) *
+ v_[10] +
+ (v_[145] * v_[43] + v_[40] * v_[42] + v_[248] * -1 + v_[56] * v_[20] + v_[272] * v_[10] +
+ v_[350] * v_[11] + v_[350] * v_[11]) *
+ v_[11] +
+ v_[91] + v_[91];
+ v_[91] = v_[87] * 1.547475 + v_[295] * -0.038686875;
+ v_[350] = v_[91] + v_[292] * 2.1032 + v_[318] * -0.057838;
+ v_[65] = v_[250] * 1.547475 + v_[82] * 0.038686875;
+ v_[83] = v_[83] * 1.547475;
+ v_[272] = v_[65] * v_[77] + v_[83] * v_[76] + v_[335] * 2.1032 + v_[237] * 0.057838;
+ v_[204] = v_[350] * v_[52] + v_[272] * v_[53] + v_[126] * 1.7423722 + v_[242] * 0.160298259823722 +
+ v_[300] * -1.52322944854339e-09;
+ v_[280] = v_[65] * v_[79] + v_[83] * v_[77] + v_[173] * 2.1032 + v_[173] * 1.7423722 + v_[242] * 0.008711861 +
+ v_[151] * 1.52322944854339e-09;
+ v_[56] = v_[350] * v_[53] + v_[272] * v_[62] + v_[229] * 1.7423722 + v_[151] * -0.160298259823722 +
+ v_[300] * -0.008711861;
+ v_[250] = v_[250] * 0.038686875 + v_[82] * 0.009277 + v_[295] * -0.000829 + v_[213] * 1.5e-05 + v_[65] * v_[78] +
+ v_[83] * v_[81] + v_[335] * 0.057838 + v_[340] * -0.001243 + v_[237] * 0.029115 + v_[318] * -0.001387;
+ v_[87] = v_[87] * -0.038686875 + v_[82] * -0.000829 + v_[295] * 0.003227 + v_[213] * 0.000198;
+ v_[213] = v_[82] * 1.5e-05 + v_[295] * 0.000198 + v_[213] * 0.010737;
+ hes[95] = v_[65] * (-v_[231]) + v_[83] * v_[259] + v_[87] * (-v_[98]) + v_[213] * v_[90] + v_[194];
+ v_[292] = v_[91] * -0.184 + v_[87] * v_[77] + v_[213] * v_[76] + v_[292] * -0.057838 + v_[340] * -0.012652 +
+ v_[237] * -0.001387 + v_[318] * 0.019432;
+ hes[94] = v_[350] * (-v_[97]) + v_[272] * v_[110] + v_[250] * (-v_[6]) + v_[292] * v_[271] + v_[5];
+ v_[5] = v_[350] * v_[68] + v_[272] * v_[61] + v_[250] * v_[52] + v_[292] * v_[53] + v_[229] * -0.160298259823722 +
+ v_[173] * 1.52322944854339e-09 + v_[242] * -0.0022920002 + v_[151] * 0.01828449 + v_[300] * 0.0036857284;
+ v_[213] = v_[91] * 0.02075 + v_[87] * v_[86] + v_[213] * v_[77] + v_[340] * 0.011046 + v_[237] * -0.001243 +
+ v_[318] * -0.012652 + v_[229] * -0.008711861 + v_[126] * -1.52322944854339e-09 +
+ v_[242] * -0.00021200017 + v_[151] * 0.0036857284 + v_[300] * 0.081661;
+ hes[92] =
+ (v_[204] * v_[28] + v_[280] * v_[30] + v_[269] * 2.327 + v_[199] * -0.0055615274403 + v_[94] * -0.647967112) *
+ (-v_[38]) +
+ (v_[56] * -1 + v_[102] * 2.327 + v_[199] * -0.01438086 + v_[84] * 0.647967112) * v_[20] +
+ (v_[56] * -0.304 + v_[5] * v_[28] + v_[213] * v_[30] + v_[102] * 0.647967112 + v_[199] * -0.0037997814 +
+ v_[84] * 0.20986895 + v_[94] * 5.399998e-05) *
+ (-v_[11]) +
+ (v_[204] * v_[43] + v_[280] * v_[42] +
+ (v_[350] * v_[67] + v_[272] * v_[60] + v_[250] * v_[53] + v_[292] * v_[54] + v_[126] * 0.160298259823722 +
+ v_[173] * 0.008711861 + v_[242] * 0.09570849 + v_[151] * -0.0022920002 + v_[300] * -0.00021200017) *
+ -1 +
+ v_[269] * -0.647967112 + v_[199] * -0.011715295 + v_[84] * 5.399998e-05 + v_[94] * 0.20236395) *
+ v_[10] +
+ v_[188] * v_[31] + v_[314] * v_[28] +
+ (0 - (v_[102] * 2.327 + (0 - v_[199]) * 0.01438086 + v_[84] * 0.647967112)) * v_[20] +
+ (v_[199] * -0.0055615274403 - (v_[269] * -2.327 + v_[94] * 0.647967112)) * v_[38] +
+ (v_[269] * 0.647967112 + (0 - v_[199]) * -0.011715295 + v_[84] * 5.399998e-05 + v_[94] * -0.199538951) *
+ v_[10] +
+ (v_[102] * 0.647967112 + v_[199] * -0.0037997814 + (0 - v_[84]) * -0.192033951 + (0 - v_[94]) * 5.399998e-05) *
+ v_[11];
+ hes[93] = v_[204] * (-v_[69]) + v_[280] * v_[262] + v_[5] * (-v_[247]) + v_[213] * v_[7] + v_[248];
+ v_[213] = w_in[6] * v_[4];
+ v_[5] = w_in[7] * v_[20] + v_[213] * v_[19];
+ v_[280] = w_in[7] * v_[11] + v_[213] * v_[10];
+ v_[204] = v_[5] * v_[30] + v_[280] * v_[42];
+ v_[248] = w_in[7] * v_[38] + v_[213] * v_[18];
+ v_[213] = w_in[7] * v_[10] + v_[213] * v_[9];
+ v_[262] = v_[248] * -1 + v_[213] * -0.304;
+ v_[69] = v_[5] * v_[28] + v_[280] * v_[43];
+ v_[247] = w_in[9] + v_[280] * -1;
+ v_[7] = w_in[8] + w_in[6] * v_[0];
+ v_[292] = v_[7] * v_[31] + v_[213] * v_[28];
+ v_[250] = v_[262] * v_[62] + v_[69] * v_[53] + v_[247] * v_[60] + v_[292] * v_[61];
+ v_[56] = v_[247] * v_[53] + v_[292] * v_[52];
+ v_[272] = v_[204] * v_[77] + v_[250] * v_[76] + v_[56] * v_[81];
+ v_[350] = v_[272] * 1.547475;
+ v_[314] = v_[53] * v_[31];
+ v_[188] = v_[77] * v_[314] + v_[86] * v_[28];
+ v_[300] = v_[204] * v_[79] + v_[250] * v_[77] + v_[56] * v_[78];
+ v_[151] = v_[300] * -1.547475;
+ v_[199] = w_in[11] + v_[56];
+ v_[242] = v_[199] * 0.038686875;
+ v_[126] = v_[151] - v_[242];
+ v_[84] = v_[76] * v_[314] + v_[77] * v_[28];
+ v_[102] = v_[350] * v_[188] + v_[126] * v_[84];
+ v_[173] = 0 - (v_[250] * 2.1032 + v_[56] * 0.057838);
+ v_[94] = v_[204] * 2.1032;
+ v_[269] = v_[102] + v_[173] * v_[28] + v_[94] * v_[314];
+ v_[87] = 0 - v_[350];
+ v_[91] = v_[52] * v_[31];
+ v_[318] = v_[262] * v_[53] + v_[69] * v_[52] + v_[247] * v_[67] + v_[292] * v_[68];
+ v_[7] = v_[7] * v_[28] + v_[213] * v_[30];
+ v_[340] = w_in[10] + v_[7];
+ v_[237] = v_[247] * v_[54] + v_[292] * v_[53];
+ v_[229] = v_[318] + v_[340] * 0.02075 + v_[237] * -0.184;
+ v_[110] = v_[340] * v_[86] + v_[237] * v_[77];
+ v_[97] = v_[229] * 1.547475 + (0 - v_[110]) * 0.038686875;
+ v_[271] = v_[87] * v_[91] + v_[97] * v_[84];
+ v_[242] = 0 - v_[151] + v_[242];
+ v_[151] = 0 - v_[97];
+ v_[6] = v_[242] * v_[91] + v_[151] * v_[188];
+ v_[83] = 0 - (v_[318] * -2.1032 + v_[237] * 0.057838);
+ v_[65] = 0 - v_[94];
+ v_[194] = v_[271] * v_[77] + v_[6] * v_[76] + v_[83] * v_[28] + v_[65] * v_[91];
+ v_[231] = v_[61] * v_[31];
+ v_[259] = v_[77] * v_[231] + v_[78] * v_[91];
+ v_[98] = v_[76] * v_[231] + v_[81] * v_[91];
+ v_[90] = v_[340] * v_[77] + v_[237] * v_[76];
+ v_[295] = (0 - v_[199]) * 1.5e-05 + v_[110] * 0.000198 + v_[90] * 0.00605;
+ v_[82] = v_[229] * 0.038686875 + v_[199] * -0.000829 + (0 - v_[110]) * -0.00146 + (0 - v_[90]) * 0.000198;
+ v_[335] = (0 - v_[272]) * 0.038686875;
+ v_[40] = v_[110] * 1.5e-05;
+ v_[145] = (0 - v_[90]) * -0.000829;
+ v_[158] = v_[335] + v_[40] + v_[145];
+ v_[158] =
+ v_[87] * v_[259] + v_[242] * v_[98] + v_[295] * v_[188] + v_[82] * v_[84] + v_[158] * v_[91] + v_[158] * v_[91];
+ v_[242] = v_[318] * 0.057838 + (0 - v_[340]) * -0.012652 + v_[56] * -0.001387 + v_[237] * -0.018069;
+ v_[87] = v_[340] * 0.009683 + (0 - v_[56]) * -0.001243 + v_[237] * -0.012652;
+ v_[21] = (0 - v_[204]) * 0.057838;
+ v_[208] = (0 - v_[340]) * -0.001387;
+ v_[117] = (0 - v_[237]) * -0.001243;
+ v_[107] = v_[21] + v_[208] - v_[117];
+ v_[107] = v_[158] + v_[271] * v_[78] + v_[6] * v_[81] + v_[65] * v_[231] + v_[242] * v_[28] + v_[87] * v_[314] +
+ v_[107] * v_[91] + v_[107] * v_[91];
+ v_[65] = v_[68] * v_[31];
+ v_[6] = 0.02075 * v_[28] + -0.184 * v_[314] + v_[65];
+ v_[271] = v_[300] * 0.038686875 + v_[199] * -0.00751 + (0 - v_[110]) * -0.000829 + v_[90] * 1.5e-05;
+ v_[216] = (0 - v_[199]) * 0.000198;
+ v_[145] = v_[335] + v_[216] - v_[145];
+ v_[145] = v_[350] * v_[6] + v_[151] * v_[98] + v_[295] * v_[91] + v_[271] * v_[84] + v_[145] * v_[188] +
+ v_[145] * v_[188];
+ v_[216] = 0 - v_[216] - v_[40];
+ v_[216] =
+ v_[126] * v_[6] + v_[97] * v_[259] + v_[82] * v_[91] + v_[271] * v_[188] + v_[216] * v_[84] + v_[216] * v_[84];
+ v_[271] = v_[250] * 0.057838 + v_[340] * -0.001243 + (0 - v_[56]) * -0.008386 + (0 - v_[237]) * -0.001387;
+ v_[6] = v_[56] * -0.012652;
+ v_[208] = v_[21] - v_[208] - v_[6];
+ v_[208] = v_[102] * -0.184 + v_[145] * v_[77] + v_[216] * v_[76] + v_[94] * v_[65] + v_[271] * v_[28] +
+ v_[87] * v_[91] + v_[208] * v_[314] + v_[208] * v_[314];
+ v_[87] = v_[69] * 0.160298259823722 + v_[204] * -0.008711861 + v_[247] * -0.06337651 +
+ (0 - v_[292]) * -0.0022920002 + v_[7] * -0.00021200017;
+ v_[94] = (0 - v_[262]) * 1.52322944854339e-09;
+ v_[21] = (0 - v_[247]) * 0.0036857284;
+ v_[82] = v_[94] + (0 - v_[204]) * 0.160298259823722 + v_[21] - (0 - v_[7]) * -0.0022920002;
+ v_[6] = v_[6] + v_[117];
+ v_[6] = v_[102] * 0.02075 + v_[145] * v_[86] + v_[216] * v_[77] + v_[173] * v_[65] + v_[83] * v_[231] +
+ v_[242] * v_[91] + v_[271] * v_[314] + v_[6] * v_[28] + v_[6] * v_[28];
+ v_[21] = v_[94] + (0 - v_[69]) * -0.008711861 - v_[21] - v_[292] * -0.00021200017;
+ v_[213] = (0 - v_[5]) * 0.01438086 + (0 - v_[248]) * -0.0055615274403 + v_[213] * -0.011715295 +
+ (0 - v_[280]) * -0.0037997814;
+ hes[104] = (v_[269] * v_[68] + v_[194] * v_[61] + v_[107] * v_[52] + v_[208] * v_[53] + v_[87] * v_[28] +
+ v_[82] * v_[31] + v_[82] * v_[31]) *
+ v_[31] +
+ (v_[6] + v_[87] * v_[31] + v_[21] * v_[28] + v_[21] * v_[28]) * v_[28] + v_[213] + v_[213];
+ v_[213] = v_[229] * 1.547475 + v_[110] * -0.038686875;
+ v_[21] = v_[213] + v_[318] * 2.1032 + v_[237] * -0.057838;
+ v_[82] = v_[300] * 1.547475 + v_[199] * 0.038686875;
+ v_[272] = v_[272] * 1.547475;
+ v_[87] = v_[82] * v_[77] + v_[272] * v_[76] + v_[250] * 2.1032 + v_[56] * 0.057838;
+ v_[300] = v_[300] * 0.038686875 + v_[199] * 0.009277 + v_[110] * -0.000829 + v_[90] * 1.5e-05 + v_[82] * v_[78] +
+ v_[272] * v_[81] + v_[250] * 0.057838 + v_[340] * -0.001243 + v_[56] * 0.029115 + v_[237] * -0.001387;
+ v_[229] = v_[229] * -0.038686875 + v_[199] * -0.000829 + v_[110] * 0.003227 + v_[90] * 0.000198;
+ v_[90] = v_[199] * 1.5e-05 + v_[110] * 0.000198 + v_[90] * 0.010737;
+ hes[107] = v_[82] * (-v_[98]) + v_[272] * v_[259] + v_[229] * (-v_[84]) + v_[90] * v_[188] + v_[158];
+ v_[318] = v_[213] * -0.184 + v_[229] * v_[77] + v_[90] * v_[76] + v_[318] * -0.057838 + v_[340] * -0.012652 +
+ v_[56] * -0.001387 + v_[237] * 0.019432;
+ hes[105] =
+ (v_[21] * v_[68] + v_[87] * v_[61] + v_[300] * v_[52] + v_[318] * v_[53] + v_[262] * -0.160298259823722 +
+ v_[204] * 1.52322944854339e-09 + v_[247] * -0.0022920002 + v_[292] * 0.01828449 + v_[7] * 0.0036857284) *
+ (-v_[28]) +
+ (v_[213] * 0.02075 + v_[229] * v_[86] + v_[90] * v_[77] + v_[340] * 0.011046 + v_[56] * -0.001243 +
+ v_[237] * -0.012652 + v_[262] * -0.008711861 + v_[69] * -1.52322944854339e-09 + v_[247] * -0.00021200017 +
+ v_[292] * 0.0036857284 + v_[7] * 0.081661) *
+ v_[31] +
+ v_[269] * v_[67] + v_[194] * v_[60] + v_[107] * v_[53] + v_[208] * v_[54] +
+ (v_[262] * -0.008711861 + v_[69] * 1.52322944854339e-09 + (0 - v_[247]) * -0.00021200017 +
+ v_[292] * 0.0036857284 + v_[7] * 0.077424) *
+ v_[31] +
+ (v_[262] * 0.160298259823722 + v_[204] * 1.52322944854339e-09 + v_[247] * -0.0022920002 +
+ (0 - v_[292]) * 0.01404749 + (0 - v_[7]) * 0.0036857284) *
+ v_[28];
+ hes[106] = v_[21] * (-v_[231]) + v_[87] * v_[65] + v_[300] * (-v_[314]) + v_[318] * v_[91] + v_[6];
+ v_[318] = w_in[6] * v_[4];
+ v_[300] = w_in[7] * v_[20] + v_[318] * v_[19];
+ v_[87] = w_in[7] * v_[11] + v_[318] * v_[10];
+ v_[21] = v_[300] * v_[30] + v_[87] * v_[42];
+ v_[6] = w_in[7] * v_[10] + v_[318] * v_[9];
+ v_[318] = (w_in[7] * v_[38] + v_[318] * v_[18]) * -1 + v_[6] * -0.304;
+ v_[300] = v_[300] * v_[28] + v_[87] * v_[43];
+ v_[87] = w_in[9] + v_[87] * -1;
+ v_[65] = w_in[8] + w_in[6] * v_[0];
+ v_[231] = v_[65] * v_[31] + v_[6] * v_[28];
+ v_[91] = v_[318] * v_[62] + v_[300] * v_[53] + v_[87] * v_[60] + v_[231] * v_[61];
+ v_[314] = v_[87] * v_[53] + v_[231] * v_[52];
+ v_[90] = v_[21] * v_[77] + v_[91] * v_[76] + v_[314] * v_[81];
+ v_[229] = v_[90] * 1.547475;
+ v_[213] = v_[77] * v_[54];
+ v_[208] = v_[21] * v_[79] + v_[91] * v_[77] + v_[314] * v_[78];
+ v_[107] = v_[208] * -1.547475;
+ v_[194] = w_in[11] + v_[314];
+ v_[237] = v_[194] * 0.038686875;
+ v_[340] = v_[107] - v_[237];
+ v_[7] = v_[76] * v_[54];
+ v_[269] = v_[229] * v_[213] + v_[340] * v_[7];
+ v_[56] = v_[21] * 2.1032;
+ v_[292] = 0 - v_[229];
+ v_[318] = v_[318] * v_[53] + v_[300] * v_[52] + v_[87] * v_[67] + v_[231] * v_[68];
+ v_[65] = v_[65] * v_[28] + v_[6] * v_[30];
+ v_[6] = w_in[10] + v_[65];
+ v_[87] = v_[87] * v_[54] + v_[231] * v_[53];
+ v_[247] = v_[318] + v_[6] * 0.02075 + v_[87] * -0.184;
+ v_[69] = v_[6] * v_[86] + v_[87] * v_[77];
+ v_[262] = v_[247] * 1.547475 + (0 - v_[69]) * 0.038686875;
+ v_[204] = v_[292] * v_[53] + v_[262] * v_[7];
+ v_[237] = 0 - v_[107] + v_[237];
+ v_[107] = 0 - v_[262];
+ v_[272] = v_[237] * v_[53] + v_[107] * v_[213];
+ v_[82] = 0 - v_[56];
+ v_[158] = v_[77] * v_[60] + v_[78] * v_[53];
+ v_[98] = v_[76] * v_[60] + v_[81] * v_[53];
+ v_[259] = v_[6] * v_[77] + v_[87] * v_[76];
+ v_[84] = (0 - v_[194]) * 1.5e-05 + v_[69] * 0.000198 + v_[259] * 0.00605;
+ v_[188] = v_[247] * 0.038686875 + v_[194] * -0.000829 + (0 - v_[69]) * -0.00146 + (0 - v_[259]) * 0.000198;
+ v_[110] = (0 - v_[90]) * 0.038686875;
+ v_[199] = v_[69] * 1.5e-05;
+ v_[250] = (0 - v_[259]) * -0.000829;
+ v_[248] = v_[110] + v_[199] + v_[250];
+ v_[248] =
+ v_[292] * v_[158] + v_[237] * v_[98] + v_[84] * v_[213] + v_[188] * v_[7] + v_[248] * v_[53] + v_[248] * v_[53];
+ v_[237] = v_[6] * 0.009683 + (0 - v_[314]) * -0.001243 + v_[87] * -0.012652;
+ v_[292] = (0 - v_[21]) * 0.057838;
+ v_[280] = (0 - v_[6]) * -0.001387;
+ v_[5] = v_[292] + v_[280] - (0 - v_[87]) * -0.001243;
+ v_[94] = -0.184 * v_[54] + v_[67];
+ v_[271] = v_[208] * 0.038686875 + v_[194] * -0.00751 + (0 - v_[69]) * -0.000829 + v_[259] * 1.5e-05;
+ v_[216] = (0 - v_[194]) * 0.000198;
+ v_[250] = v_[110] + v_[216] - v_[250];
+ v_[250] =
+ v_[229] * v_[94] + v_[107] * v_[98] + v_[84] * v_[53] + v_[271] * v_[7] + v_[250] * v_[213] + v_[250] * v_[213];
+ v_[216] = 0 - v_[216] - v_[199];
+ v_[216] =
+ v_[340] * v_[94] + v_[262] * v_[158] + v_[188] * v_[53] + v_[271] * v_[213] + v_[216] * v_[7] + v_[216] * v_[7];
+ v_[280] = v_[292] - v_[280] - v_[314] * -0.012652;
+ v_[65] = (0 - v_[300]) * -0.008711861 + (0 - v_[21]) * 0.160298259823722 + v_[231] * -0.00021200017 +
+ (0 - v_[65]) * -0.0022920002;
+ hes[117] = (v_[269] + v_[56] * v_[54]) * v_[67] + (v_[204] * v_[77] + v_[272] * v_[76] + v_[82] * v_[53]) * v_[60] +
+ (v_[248] + v_[204] * v_[78] + v_[272] * v_[81] + v_[82] * v_[60] + v_[237] * v_[54] + v_[5] * v_[53] +
+ v_[5] * v_[53]) *
+ v_[53] +
+ (v_[269] * -0.184 + v_[250] * v_[77] + v_[216] * v_[76] + v_[56] * v_[67] + v_[237] * v_[53] +
+ v_[280] * v_[54] + v_[280] * v_[54]) *
+ v_[54] +
+ v_[65] + v_[65];
+ v_[65] = v_[247] * 1.547475 + v_[69] * -0.038686875;
+ v_[280] = v_[208] * 1.547475 + v_[194] * 0.038686875;
+ v_[90] = v_[90] * 1.547475;
+ v_[247] = v_[247] * -0.038686875 + v_[194] * -0.000829 + v_[69] * 0.003227 + v_[259] * 0.000198;
+ v_[5] = v_[194] * 1.5e-05 + v_[69] * 0.000198 + v_[259] * 0.010737;
+ hes[118] = (v_[65] + v_[318] * 2.1032 + v_[87] * -0.057838) * (-v_[60]) +
+ (v_[280] * v_[77] + v_[90] * v_[76] + v_[91] * 2.1032 + v_[314] * 0.057838) * v_[67] +
+ (v_[208] * 0.038686875 + v_[194] * 0.009277 + v_[69] * -0.000829 + v_[259] * 1.5e-05 + v_[280] * v_[78] +
+ v_[90] * v_[81] + v_[91] * 0.057838 + v_[6] * -0.001243 + v_[314] * 0.029115 + v_[87] * -0.001387) *
+ (-v_[54]) +
+ (v_[65] * -0.184 + v_[247] * v_[77] + v_[5] * v_[76] + v_[318] * -0.057838 + v_[6] * -0.012652 +
+ v_[314] * -0.001387 + v_[87] * 0.019432) *
+ v_[53] +
+ v_[269] * 0.02075 + v_[250] * v_[86] + v_[216] * v_[77] +
+ (0 - (v_[91] * 2.1032 + v_[314] * 0.057838)) * v_[67] +
+ (0 - (v_[318] * -2.1032 + v_[87] * 0.057838)) * v_[60] +
+ (v_[318] * 0.057838 + (0 - v_[6]) * -0.012652 + v_[314] * -0.001387 + v_[87] * -0.018069) * v_[53] +
+ (v_[91] * 0.057838 + v_[6] * -0.001243 + (0 - v_[314]) * -0.008386 + (0 - v_[87]) * -0.001387) * v_[54];
+ hes[119] = v_[280] * (-v_[98]) + v_[90] * v_[158] + v_[247] * (-v_[7]) + v_[5] * v_[213] + v_[248];
+ v_[5] = w_in[6] * v_[4];
+ v_[247] = w_in[7] * v_[20] + v_[5] * v_[19];
+ v_[90] = w_in[7] * v_[11] + v_[5] * v_[10];
+ v_[280] = v_[247] * v_[30] + v_[90] * v_[42];
+ v_[248] = w_in[7] * v_[10] + v_[5] * v_[9];
+ v_[5] = (w_in[7] * v_[38] + v_[5] * v_[18]) * -1 + v_[248] * -0.304;
+ v_[247] = v_[247] * v_[28] + v_[90] * v_[43];
+ v_[90] = w_in[9] + v_[90] * -1;
+ v_[98] = w_in[8] + w_in[6] * v_[0];
+ v_[158] = v_[98] * v_[31] + v_[248] * v_[28];
+ v_[7] = v_[5] * v_[62] + v_[247] * v_[53] + v_[90] * v_[60] + v_[158] * v_[61];
+ v_[213] = v_[90] * v_[53] + v_[158] * v_[52];
+ v_[65] = v_[280] * v_[77] + v_[7] * v_[76] + v_[213] * v_[81];
+ v_[216] = v_[65] * 1.547475;
+ v_[7] = v_[280] * v_[79] + v_[7] * v_[77] + v_[213] * v_[78];
+ v_[280] = w_in[11] + v_[213];
+ v_[79] = v_[7] * -1.547475 - v_[280] * 0.038686875;
+ v_[98] = w_in[10] + v_[98] * v_[28] + v_[248] * v_[30];
+ v_[248] = v_[90] * v_[54] + v_[158] * v_[53];
+ v_[78] = v_[98] * v_[86] + v_[248] * v_[77];
+ v_[250] = v_[98] * v_[77] + v_[248] * v_[76];
+ v_[7] = v_[7] * 0.038686875 + v_[280] * -0.00751 + (0 - v_[78]) * -0.000829 + v_[250] * 1.5e-05;
+ v_[259] = (0 - v_[280]) * 0.000198;
+ v_[65] = (0 - v_[65]) * 0.038686875 + v_[259] - (0 - v_[250]) * -0.000829;
+ v_[259] = 0 - v_[259] - v_[78] * 1.5e-05;
+ v_[213] = v_[213] * -0.012652 + (0 - v_[248]) * -0.001243;
+ hes[130] = (v_[216] * v_[86] + v_[79] * v_[77]) * 0.02075 +
+ (v_[216] * 0.02075 + v_[7] * v_[77] + v_[65] * v_[86] + v_[65] * v_[86]) * v_[86] +
+ (v_[79] * 0.02075 + v_[7] * v_[86] + v_[259] * v_[77] + v_[259] * v_[77]) * v_[77] + v_[213] + v_[213];
+ v_[248] =
+ v_[5] * v_[53] + v_[247] * v_[52] + v_[90] * v_[67] + v_[158] * v_[68] + v_[98] * 0.02075 + v_[248] * -0.184;
+ hes[131] =
+ (v_[248] * -0.038686875 + v_[280] * -0.000829 + v_[78] * 0.003227 + v_[250] * 0.000198) * (-v_[77]) +
+ (v_[280] * 1.5e-05 + v_[78] * 0.000198 + v_[250] * 0.010737) * v_[86] +
+ ((0 - v_[280]) * 1.5e-05 + v_[78] * 0.000198 + v_[250] * 0.00605) * v_[86] +
+ (v_[248] * 0.038686875 + v_[280] * -0.000829 + (0 - v_[78]) * -0.00146 + (0 - v_[250]) * 0.000198) * v_[77];
+ v_[4] = w_in[6] * v_[4];
+ v_[20] = w_in[7] * v_[20] + v_[4] * v_[19];
+ v_[11] = w_in[7] * v_[11] + v_[4] * v_[10];
+ v_[10] = w_in[7] * v_[10] + v_[4] * v_[9];
+ v_[9] = w_in[9] + v_[11] * -1;
+ v_[0] = w_in[8] + w_in[6] * v_[0];
+ v_[31] = v_[0] * v_[31] + v_[10] * v_[28];
+ v_[0] = w_in[10] + v_[0] * v_[28] + v_[10] * v_[30];
+ v_[54] = v_[9] * v_[54] + v_[31] * v_[53];
+ v_[54] = (0 - ((v_[20] * v_[30] + v_[11] * v_[42]) * v_[77] +
+ (((w_in[7] * v_[38] + v_[4] * v_[18]) * -1 + v_[10] * -0.304) * v_[62] +
+ (v_[20] * v_[28] + v_[11] * v_[43]) * v_[53] + v_[9] * v_[60] + v_[31] * v_[61]) *
+ v_[76] +
+ (v_[9] * v_[53] + v_[31] * v_[52]) * v_[81])) *
+ 0.038686875 +
+ (v_[0] * v_[86] + v_[54] * v_[77]) * 1.5e-05 + (0 - (v_[0] * v_[77] + v_[54] * v_[76])) * -0.000829;
+ hes[143] = v_[54] + v_[54];
+ // variable duplicates: 55
+ hes[25] = hes[14];
+ hes[37] = hes[15];
+ hes[38] = hes[27];
+ hes[49] = hes[16];
+ hes[50] = hes[28];
+ hes[51] = hes[40];
+ hes[61] = hes[17];
+ hes[62] = hes[29];
+ hes[63] = hes[41];
+ hes[64] = hes[53];
+ hes[73] = hes[18];
+ hes[74] = hes[30];
+ hes[75] = hes[42];
+ hes[76] = hes[54];
+ hes[77] = hes[66];
+ hes[85] = hes[19];
+ hes[86] = hes[31];
+ hes[87] = hes[43];
+ hes[88] = hes[55];
+ hes[89] = hes[67];
+ hes[90] = hes[79];
+ hes[97] = hes[20];
+ hes[98] = hes[32];
+ hes[99] = hes[44];
+ hes[100] = hes[56];
+ hes[101] = hes[68];
+ hes[102] = hes[80];
+ hes[103] = hes[92];
+ hes[109] = hes[21];
+ hes[110] = hes[33];
+ hes[111] = hes[45];
+ hes[112] = hes[57];
+ hes[113] = hes[69];
+ hes[114] = hes[81];
+ hes[115] = hes[93];
+ hes[116] = hes[105];
+ hes[121] = hes[22];
+ hes[122] = hes[34];
+ hes[123] = hes[46];
+ hes[124] = hes[58];
+ hes[125] = hes[70];
+ hes[126] = hes[82];
+ hes[127] = hes[94];
+ hes[128] = hes[106];
+ hes[129] = hes[118];
+ hes[133] = hes[23];
+ hes[134] = hes[35];
+ hes[135] = hes[47];
+ hes[136] = hes[59];
+ hes[137] = hes[71];
+ hes[138] = hes[83];
+ hes[139] = hes[95];
+ hes[140] = hes[107];
+ hes[141] = hes[119];
+ hes[142] = hes[131];
+
+
+ return hessian_;
+}
+} // namespace HyA
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyA/codegen/HyAInverseDynHessian.h b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynHessian.h
new file mode 100644
index 0000000..cbe65d2
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynHessian.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+class HyAInverseDynHessian : public core::Derivatives<12, 6, double>
+{
+public:
+ typedef Eigen::Matrix<double, 12, 12> HES_TYPE;
+ typedef Eigen::Matrix<double, 12, 1> X_TYPE;
+
+ HyAInverseDynHessian()
+ {
+ hessian_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyAInverseDynHessian(const HyAInverseDynHessian& other)
+ {
+ hessian_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyAInverseDynHessian(){};
+
+ HyAInverseDynHessian* clone() const override { return new HyAInverseDynHessian(*this); }
+ HES_TYPE hessian(const Eigen::VectorXd& x_in, const Eigen::VectorXd& w_in) override;
+
+private:
+ HES_TYPE hessian_;
+ std::array<double, 351> v_;
+};
+
+} /* namespace HyA */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacForward.cpp b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacForward.cpp
new file mode 100644
index 0000000..85136e2
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacForward.cpp
@@ -0,0 +1,1295 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyAInverseDynJacForward.h"
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+
+HyAInverseDynJacForward::JAC_TYPE HyAInverseDynJacForward::jacobian(const Eigen::VectorXd& x_in)
+{
+ double* jac = jac_.data();
+
+ v_[0] = sin(x_in[1]);
+ v_[1] = cos(x_in[1]);
+ v_[2] = v_[1] * x_in[6];
+ v_[3] = (-v_[2]) * x_in[7];
+ v_[4] = -1 * sin(x_in[1]);
+ v_[5] = v_[4] * x_in[6];
+ v_[6] = v_[5] * x_in[7];
+ v_[7] = 9.81 * v_[4];
+ v_[8] = v_[0] * x_in[6];
+ v_[9] = cos(x_in[1]);
+ v_[10] = v_[9] * x_in[6];
+ v_[11] = v_[8] * v_[5] + v_[2] * v_[10];
+ v_[12] = cos(x_in[2]);
+ v_[13] = sin(x_in[2]);
+ v_[14] = v_[13] * v_[5];
+ v_[15] = v_[12] * v_[3] + (-v_[14]) * x_in[8];
+ v_[16] = v_[12] * v_[5];
+ v_[17] = v_[13] * v_[3] + v_[16] * x_in[8];
+ v_[18] = -0.112 * v_[13];
+ v_[19] = 0.112 * v_[12];
+ v_[20] = v_[19] * v_[5];
+ v_[21] = v_[12] * v_[7] + v_[18] * v_[3] + (-v_[20]) * x_in[8];
+ v_[22] = v_[18] * v_[5];
+ v_[23] = v_[13] * v_[7] + v_[19] * v_[3] + v_[22] * x_in[8];
+ v_[24] = v_[8] + x_in[8];
+ v_[25] = 0.112 * v_[13];
+ v_[26] = v_[19] * v_[10] + v_[25] * x_in[7];
+ v_[27] = v_[24] * v_[20] + v_[2] * v_[26];
+ v_[28] = 0 - v_[12];
+ v_[29] = v_[13] * v_[10] + v_[28] * x_in[7];
+ v_[30] = v_[12] * v_[10] + v_[13] * x_in[7];
+ v_[31] = v_[29] * v_[16] + v_[14] * v_[30];
+ v_[32] = v_[29] * v_[2] + v_[14] * v_[24];
+ v_[33] = sin(x_in[3]);
+ v_[34] = 0 - v_[33];
+ v_[35] = -1 * v_[17];
+ v_[36] = cos(x_in[3]);
+ v_[37] = v_[33] * v_[16] + v_[36] * v_[2];
+ v_[38] = v_[34] * v_[6] + v_[36] * v_[15] + (-v_[37]) * x_in[9];
+ v_[39] = v_[36] * v_[16] + v_[34] * v_[2];
+ v_[40] = v_[36] * v_[6] + v_[33] * v_[15] + v_[39] * x_in[9];
+ v_[41] = -0.304 * v_[15] + -1 * v_[23];
+ v_[42] = 9.81 * v_[1];
+ v_[43] = -0.304 * v_[33];
+ v_[44] = -0.304 * v_[36];
+ v_[45] = v_[44] * v_[14] + v_[36] * v_[22];
+ v_[46] = v_[36] * v_[42] + v_[33] * v_[21] + v_[43] * v_[17] + v_[45] * x_in[9];
+ v_[47] = v_[36] * v_[30] + v_[34] * v_[24];
+ v_[48] = -0.304 * v_[16] + -1 * v_[20];
+ v_[49] = -0.304 * v_[30] + -1 * v_[26];
+ v_[50] = -1 * v_[29] + x_in[9];
+ v_[51] = -1 * v_[14];
+ v_[52] = 0.112 * v_[12];
+ v_[53] = v_[18] * v_[10] + v_[52] * x_in[7];
+ v_[54] = v_[44] * v_[29] + v_[36] * v_[53];
+ v_[55] = v_[47] * v_[48] + v_[39] * v_[49] - (v_[50] * v_[45] + v_[51] * v_[54]);
+ v_[56] = v_[47] * v_[51] + v_[39] * v_[50];
+ v_[57] = v_[50] * v_[51] + v_[51] * v_[50];
+ v_[58] = v_[33] * v_[30] + v_[36] * v_[24];
+ v_[59] = v_[58] * v_[37] + v_[37] * v_[58];
+ v_[60] = cos(x_in[4]);
+ v_[61] = sin(x_in[4]);
+ v_[62] = 0 - v_[60];
+ v_[63] = v_[61] * v_[39] + v_[62] * v_[51];
+ v_[64] = v_[61] * v_[35] + v_[60] * v_[38] + (-v_[63]) * x_in[10];
+ v_[65] = v_[60] * v_[39] + v_[61] * v_[51];
+ v_[66] = v_[62] * v_[35] + v_[61] * v_[38] + v_[65] * x_in[10];
+ v_[67] = 0.112 * v_[61];
+ v_[68] = 0.112 * v_[60];
+ v_[69] = 0 - v_[60];
+ v_[70] = 0 - v_[33];
+ v_[71] = v_[43] * v_[14] + v_[33] * v_[22];
+ v_[72] = v_[70] * v_[42] + v_[36] * v_[21] + v_[44] * v_[17] + (-v_[71]) * x_in[9];
+ v_[73] = 0.112 * v_[60];
+ v_[74] = -0.112 * v_[61];
+ v_[75] = v_[73] * v_[51] + v_[74] * v_[39] + v_[61] * v_[48] + v_[60] * v_[45];
+ v_[76] = v_[67] * v_[35] + v_[68] * v_[38] + v_[69] * v_[41] + v_[61] * v_[72] + v_[75] * x_in[10];
+ v_[77] = v_[60] * v_[47] + v_[61] * v_[50];
+ v_[78] = v_[43] * v_[29] + v_[33] * v_[53];
+ v_[79] = v_[58] + x_in[10];
+ v_[80] = v_[73] * v_[50] + v_[74] * v_[47] + v_[61] * v_[49] + v_[60] * v_[54];
+ v_[81] = v_[77] * v_[71] + v_[65] * v_[78] - (v_[79] * v_[75] + v_[37] * v_[80]);
+ v_[82] = v_[77] * v_[37] + v_[65] * v_[79];
+ v_[83] = v_[79] * v_[37] + v_[37] * v_[79];
+ v_[84] = v_[61] * v_[47] + v_[62] * v_[50];
+ v_[85] = v_[84] * v_[63] + v_[63] * v_[84];
+ v_[86] = sin(x_in[5]);
+ v_[87] = cos(x_in[5]);
+ v_[88] = 0.02075 * v_[86] + 0.184 * v_[87];
+ v_[89] = 0 - v_[86];
+ v_[90] = v_[67] * v_[51] + v_[68] * v_[39] + v_[69] * v_[48] + v_[61] * v_[45];
+ v_[91] = 0.184 * v_[86] - 0.02075 * v_[87];
+ v_[92] = v_[87] * v_[71] + v_[86] * v_[90] + v_[91] * v_[65];
+ v_[93] = v_[89] * v_[46] + v_[87] * v_[76] + v_[88] * v_[64] + (-v_[92]) * x_in[11];
+ v_[94] = v_[86] * v_[84] + v_[87] * v_[79];
+ v_[95] = 0 - v_[86];
+ v_[96] = v_[87] * v_[63] + v_[95] * v_[37];
+ v_[97] = v_[86] * v_[63] + v_[87] * v_[37];
+ v_[98] = v_[87] * v_[84] + v_[95] * v_[79];
+ v_[99] = v_[94] * v_[96] + v_[97] * v_[98];
+ v_[100] = 0.02075 * v_[37] + -0.184 * v_[63] + v_[75];
+ v_[101] = 0.02075 * v_[79] + -0.184 * v_[84] + v_[80];
+ v_[102] = v_[94] * v_[100] + v_[97] * v_[101];
+ v_[103] = v_[77] + x_in[11];
+ v_[104] = v_[67] * v_[50] + v_[68] * v_[47] + v_[69] * v_[49] + v_[61] * v_[54];
+ v_[105] = v_[87] * v_[78] + v_[86] * v_[104] + v_[91] * v_[77];
+ v_[106] = v_[103] * v_[92] + v_[65] * v_[105];
+ v_[107] = 1.547475 * v_[93] + 0.038686875 * v_[64] + 0.038686875 * v_[99] + -1.547475 * (v_[102] - v_[106]);
+ v_[108] = v_[89] * v_[71] + v_[87] * v_[90] + v_[88] * v_[65];
+ v_[109] = v_[89] * v_[78] + v_[87] * v_[104] + v_[88] * v_[77];
+ v_[110] = v_[103] * v_[65] + v_[65] * v_[103];
+ v_[111] = v_[98] * v_[96] + v_[96] * v_[98];
+ v_[100] = 1.547475 * (v_[98] * v_[100] + v_[96] * v_[101] - (v_[103] * v_[108] + v_[65] * v_[109])) +
+ 1.547475 * (v_[87] * v_[46] + v_[86] * v_[76] + v_[91] * v_[64] + v_[108] * x_in[11]) -
+ 0.038686875 * (v_[110] + v_[111]);
+ v_[112] = v_[95] * v_[40] + v_[87] * v_[66] + (-v_[97]) * x_in[11];
+ v_[113] = v_[87] * v_[40] + v_[86] * v_[66] + v_[96] * x_in[11];
+ v_[114] = v_[94] * v_[65] + v_[97] * v_[103];
+ v_[115] = v_[98] * v_[65] + v_[96] * v_[103];
+ v_[116] = v_[94] * v_[97] + v_[97] * v_[94];
+ jac[11] = 0.009277 * v_[64] + -0.000829 * v_[112] + 1.5e-05 * v_[113] + 0.038686875 * v_[93] + -0.00751 * v_[99] +
+ 0.038686875 * (v_[106] - v_[102]) + -0.000829 * v_[114] - 1.5e-05 * v_[115] -
+ 0.000198 * (v_[111] - v_[116]);
+ v_[106] = v_[84] * v_[37] + v_[63] * v_[79];
+ v_[102] = v_[84] * v_[65] + v_[63] * v_[77];
+ v_[93] = -0.001243 * v_[40] + 0.029115 * v_[64] + -0.001387 * v_[66] + 0.057838 * v_[76] + 0.057838 * v_[81] +
+ -0.001387 * v_[82] + -0.012652 * (v_[83] - v_[85]) + v_[88] * v_[107] + v_[91] * v_[100] + jac[11] -
+ -0.008386 * v_[106] - -0.001243 * v_[102];
+ v_[117] = v_[73] * v_[35] + v_[74] * v_[38] + v_[61] * v_[41] + v_[60] * v_[72] + (-v_[90]) * x_in[10];
+ v_[118] = v_[84] * v_[71] + v_[63] * v_[78] - (v_[79] * v_[90] + v_[37] * v_[104]);
+ v_[119] = 0.02075 * v_[40] + -0.184 * v_[66] + v_[117];
+ v_[108] = v_[94] * v_[108] + v_[97] * v_[109] - (v_[98] * v_[92] + v_[96] * v_[105]);
+ v_[116] = -0.000829 * v_[64] + 0.003227 * v_[112] + 0.000198 * v_[113] + -0.038686875 * v_[119] +
+ 0.000198 * v_[115] + 1.5e-05 * (v_[110] - v_[116]) - 0.038686875 * v_[108] - -0.00146 * v_[114] -
+ -0.000829 * v_[99];
+ v_[115] = 1.5e-05 * v_[64] + 0.000198 * v_[112] + 0.010737 * v_[113] + 0.00605 * v_[115] + 1.5e-05 * v_[99] -
+ 0.000198 * v_[114] - -0.000829 * (v_[110] - v_[111]);
+ v_[108] = 1.547475 * v_[119] + -0.038686875 * v_[112] + 0.038686875 * v_[114] + 1.547475 * v_[108];
+ v_[119] = v_[77] * v_[65] + v_[65] * v_[77];
+ jac[10] = 0.011046 * v_[40] + -0.001243 * v_[64] + -0.012652 * v_[66] + -0.001243 * v_[106] + 0.009683 * v_[102] +
+ v_[95] * v_[116] + v_[87] * v_[115] + 0.02075 * v_[108] - -0.012652 * v_[82] -
+ -0.001387 * (v_[119] - v_[85]);
+ v_[115] = -0.012652 * v_[40] + -0.001387 * v_[64] + 0.019432 * v_[66] + -0.057838 * v_[117] + -0.018069 * v_[82] +
+ 0.057838 * v_[118] + -0.012652 * v_[102] + v_[87] * v_[116] + v_[86] * v_[115] + -0.184 * v_[108] -
+ -0.001387 * v_[106] - -0.001243 * (v_[83] - v_[119]);
+ v_[108] = 2.1032 * v_[117] + -0.057838 * v_[66] + 0.057838 * v_[82] + -2.1032 * v_[118] + v_[108];
+ v_[106] = 2.1032 * v_[76] + 0.057838 * v_[64] + 0.057838 * v_[106] + 2.1032 * v_[81] + v_[87] * v_[107] +
+ v_[86] * v_[100];
+ v_[45] = v_[58] * v_[45] + v_[37] * v_[54] - (v_[47] * v_[71] + v_[39] * v_[78]);
+ v_[81] = v_[58] * v_[51] + v_[37] * v_[50];
+ v_[76] = v_[58] * v_[39] + v_[37] * v_[47];
+ v_[64] = -0.0022920002 * v_[35] + 0.01828449 * v_[38] + 0.0036857284 * v_[40] + -0.160298259823722 * v_[41] +
+ 1.52322944854339e-09 * v_[46] + 1.52322944854339e-09 * v_[55] + 0.0036857284 * v_[56] +
+ -0.00021200017 * (v_[57] - v_[59]) + v_[60] * v_[93] + v_[61] * v_[115] + v_[74] * v_[108] +
+ v_[68] * v_[106] - 0.160298259823722 * v_[45] - 0.01404749 * v_[81] - -0.0022920002 * v_[76];
+ v_[48] = v_[58] * v_[48] + v_[37] * v_[49];
+ v_[71] = v_[50] * v_[71] + v_[51] * v_[78];
+ v_[39] = v_[47] * v_[39] + v_[39] * v_[47];
+ jac[9] = 0.09570849 * v_[35] + -0.0022920002 * v_[38] + -0.00021200017 * v_[40] + 0.160298259823722 * v_[72] +
+ 0.008711861 * v_[46] + 0.160298259823722 * (v_[71] - v_[48]) + -0.06337651 * v_[76] +
+ -0.0022920002 * v_[81] + v_[61] * v_[93] + v_[62] * v_[115] + v_[73] * v_[108] + v_[67] * v_[106] -
+ -0.008711861 * v_[55] - -0.00021200017 * v_[56] - 0.0036857284 * (v_[39] - v_[59]);
+ v_[115] = -0.00021200017 * v_[35] + 0.0036857284 * v_[38] + 0.081661 * v_[40] + -0.008711861 * v_[41] +
+ -1.52322944854339e-09 * v_[72] + -0.008711861 * v_[45] + 1.52322944854339e-09 * (v_[48] - v_[71]) +
+ 0.077424 * v_[56] + -0.00021200017 * v_[76] + jac[10] - 0.0036857284 * v_[81] -
+ -0.0022920002 * (v_[57] - v_[39]);
+ v_[93] = -(v_[24] * v_[22] + v_[2] * v_[53]);
+ v_[51] = v_[30] * v_[2] + v_[16] * v_[24];
+ v_[37] = v_[30] * v_[16] + v_[16] * v_[30];
+ v_[118] = v_[29] * v_[14] + v_[14] * v_[29];
+ jac[8] = 0.010329999 * v_[6] + -0.0037997814 * v_[15] + -0.011715295 * v_[17] + -0.0055615274403 * v_[21] +
+ -0.01438086 * v_[23] + -0.0055615274403 * v_[27] + 0.00750500000000001 * v_[31] + -0.0037997814 * v_[32] +
+ v_[34] * v_[64] + v_[36] * v_[115] - 0.01438086 * v_[93] - -0.011715295 * v_[51] -
+ 5.399998e-05 * (v_[37] - v_[118]);
+ v_[117] = v_[2] * x_in[7];
+ v_[5] = v_[10] * v_[5] + v_[5] * v_[10];
+ v_[82] = 0 - v_[8];
+ v_[66] = v_[82] * x_in[7];
+ v_[116] = v_[10] * x_in[7];
+ v_[102] = 9.81 * v_[9];
+ v_[83] = v_[8] * v_[10];
+ v_[114] = 0 - v_[29];
+ v_[112] = v_[12] * v_[66] + v_[114] * x_in[8];
+ v_[113] = v_[13] * v_[66] + v_[30] * x_in[8];
+ v_[111] = 0 - v_[26];
+ v_[110] = v_[12] * v_[102] + v_[18] * v_[66] + v_[111] * x_in[8];
+ v_[99] = v_[13] * v_[102] + v_[19] * v_[66] + v_[53] * x_in[8];
+ v_[97] = v_[24] * v_[26];
+ v_[96] = v_[29] * v_[30];
+ v_[92] = v_[29] * v_[24];
+ v_[120] = -1 * v_[113];
+ v_[121] = 0 - v_[58];
+ v_[122] = v_[34] * v_[116] + v_[36] * v_[112] + v_[121] * x_in[9];
+ v_[123] = v_[36] * v_[116] + v_[33] * v_[112] + v_[47] * x_in[9];
+ v_[124] = -0.304 * v_[112] + -1 * v_[99];
+ v_[125] = 9.81 * v_[0];
+ v_[126] = v_[36] * v_[125] + v_[33] * v_[110] + v_[43] * v_[113] + v_[54] * x_in[9];
+ v_[127] = v_[47] * v_[49] - v_[50] * v_[54];
+ v_[128] = v_[47] * v_[50];
+ v_[129] = v_[50] * v_[50];
+ v_[130] = v_[58] * v_[58];
+ v_[131] = 0 - v_[84];
+ v_[132] = v_[61] * v_[120] + v_[60] * v_[122] + v_[131] * x_in[10];
+ v_[133] = v_[62] * v_[120] + v_[61] * v_[122] + v_[77] * x_in[10];
+ v_[134] = 0 - v_[78];
+ v_[70] = v_[70] * v_[125] + v_[36] * v_[110] + v_[44] * v_[113] + v_[134] * x_in[9];
+ v_[135] = v_[67] * v_[120] + v_[68] * v_[122] + v_[69] * v_[124] + v_[61] * v_[70] + v_[80] * x_in[10];
+ v_[136] = v_[77] * v_[78] - v_[79] * v_[80];
+ v_[137] = v_[77] * v_[79];
+ v_[138] = v_[79] * v_[79];
+ v_[139] = v_[84] * v_[84];
+ v_[140] = 0 - v_[105];
+ v_[141] = v_[89] * v_[126] + v_[87] * v_[135] + v_[88] * v_[132] + v_[140] * x_in[11];
+ v_[142] = v_[94] * v_[98];
+ v_[143] = v_[94] * v_[101];
+ v_[144] = v_[103] * v_[105];
+ v_[145] = 1.547475 * v_[141] + 0.038686875 * v_[132] + 0.038686875 * v_[142] + -1.547475 * (v_[143] - v_[144]);
+ v_[146] = v_[103] * v_[103];
+ v_[147] = v_[98] * v_[98];
+ v_[148] = 1.547475 * (v_[98] * v_[101] - v_[103] * v_[109]) +
+ 1.547475 * (v_[87] * v_[126] + v_[86] * v_[135] + v_[91] * v_[132] + v_[109] * x_in[11]) -
+ 0.038686875 * (v_[146] + v_[147]);
+ v_[149] = 0 - v_[94];
+ jac[71] = -0.000829 * v_[149] + 1.5e-05 * v_[98] + 0.038686875 * v_[140] + 0.038686875 * v_[105] +
+ -0.000829 * v_[94] - 1.5e-05 * v_[98];
+ v_[150] = v_[95] * v_[123] + v_[87] * v_[133] + v_[149] * x_in[11];
+ v_[151] = v_[87] * v_[123] + v_[86] * v_[133] + v_[98] * x_in[11];
+ v_[152] = v_[94] * v_[103];
+ v_[153] = v_[98] * v_[103];
+ v_[154] = v_[94] * v_[94];
+ v_[155] = v_[84] * v_[79];
+ v_[156] = v_[84] * v_[77];
+ v_[144] = -0.001243 * v_[123] + 0.029115 * v_[132] + -0.001387 * v_[133] + 0.057838 * v_[135] + 0.057838 * v_[136] +
+ -0.001387 * v_[137] + -0.012652 * (v_[138] - v_[139]) + v_[88] * v_[145] + v_[91] * v_[148] +
+ 0.009277 * v_[132] + -0.000829 * v_[150] + 1.5e-05 * v_[151] + 0.038686875 * v_[141] +
+ -0.00751 * v_[142] + 0.038686875 * (v_[144] - v_[143]) + -0.000829 * v_[152] - 1.5e-05 * v_[153] -
+ 0.000198 * (v_[147] - v_[154]) - -0.008386 * v_[155] - -0.001243 * v_[156];
+ v_[143] = 0 - v_[104];
+ v_[141] = v_[73] * v_[120] + v_[74] * v_[122] + v_[61] * v_[124] + v_[60] * v_[70] + v_[143] * x_in[10];
+ v_[157] = v_[84] * v_[78] - v_[79] * v_[104];
+ v_[158] = 0.02075 * v_[123] + -0.184 * v_[133] + v_[141];
+ v_[159] = v_[94] * v_[109] - v_[98] * v_[105];
+ v_[154] = -0.000829 * v_[132] + 0.003227 * v_[150] + 0.000198 * v_[151] + -0.038686875 * v_[158] +
+ 0.000198 * v_[153] + 1.5e-05 * (v_[146] - v_[154]) - 0.038686875 * v_[159] - -0.00146 * v_[152] -
+ -0.000829 * v_[142];
+ v_[153] = 1.5e-05 * v_[132] + 0.000198 * v_[150] + 0.010737 * v_[151] + 0.00605 * v_[153] + 1.5e-05 * v_[142] -
+ 0.000198 * v_[152] - -0.000829 * (v_[146] - v_[147]);
+ v_[159] = 1.547475 * v_[158] + -0.038686875 * v_[150] + 0.038686875 * v_[152] + 1.547475 * v_[159];
+ v_[158] = v_[77] * v_[77];
+ v_[138] = -0.012652 * v_[123] + -0.001387 * v_[132] + 0.019432 * v_[133] + -0.057838 * v_[141] +
+ -0.018069 * v_[137] + 0.057838 * v_[157] + -0.012652 * v_[156] + v_[87] * v_[154] + v_[86] * v_[153] +
+ -0.184 * v_[159] - -0.001387 * v_[155] - -0.001243 * (v_[138] - v_[158]);
+ v_[157] = 2.1032 * v_[141] + -0.057838 * v_[133] + 0.057838 * v_[137] + -2.1032 * v_[157] + v_[159];
+ v_[136] = 2.1032 * v_[135] + 0.057838 * v_[132] + 0.057838 * v_[155] + 2.1032 * v_[136] + v_[87] * v_[145] +
+ v_[86] * v_[148];
+ v_[141] = v_[58] * v_[54] - v_[47] * v_[78];
+ v_[152] = v_[58] * v_[50];
+ v_[150] = v_[58] * v_[47];
+ v_[151] = -0.0022920002 * v_[120] + 0.01828449 * v_[122] + 0.0036857284 * v_[123] + -0.160298259823722 * v_[124] +
+ 1.52322944854339e-09 * v_[126] + 1.52322944854339e-09 * v_[127] + 0.0036857284 * v_[128] +
+ -0.00021200017 * (v_[129] - v_[130]) + v_[60] * v_[144] + v_[61] * v_[138] + v_[74] * v_[157] +
+ v_[68] * v_[136] - 0.160298259823722 * v_[141] - 0.01404749 * v_[152] - -0.0022920002 * v_[150];
+ v_[147] = v_[58] * v_[49];
+ v_[146] = v_[50] * v_[78];
+ v_[142] = v_[47] * v_[47];
+ v_[159] = -0.00021200017 * v_[120] + 0.0036857284 * v_[122] + 0.081661 * v_[123] + -0.008711861 * v_[124] +
+ -1.52322944854339e-09 * v_[70] + -0.008711861 * v_[141] + 1.52322944854339e-09 * (v_[147] - v_[146]) +
+ 0.077424 * v_[128] + -0.00021200017 * v_[150] + 0.011046 * v_[123] + -0.001243 * v_[132] +
+ -0.012652 * v_[133] + -0.001243 * v_[155] + 0.009683 * v_[156] + v_[95] * v_[154] + v_[87] * v_[153] +
+ 0.02075 * v_[159] - -0.012652 * v_[137] - -0.001387 * (v_[158] - v_[139]) - 0.0036857284 * v_[152] -
+ -0.0022920002 * (v_[129] - v_[142]);
+ v_[156] = 0 - v_[24] * v_[53];
+ v_[155] = v_[30] * v_[24];
+ v_[137] = v_[30] * v_[30];
+ v_[160] = v_[29] * v_[29];
+ v_[161] = v_[8] * x_in[7];
+ v_[162] = x_in[7] * x_in[7];
+ v_[163] = v_[8] * v_[2] + v_[2] * v_[8];
+ v_[2] = v_[24] * v_[2] + v_[2] * v_[24];
+ v_[45] = -0.160298259823722 * v_[38] + -0.008711861 * v_[40] + 1.7423722 * v_[41] + 1.7423722 * v_[45] +
+ 0.160298259823722 * v_[81] + -0.008711861 * v_[56] + v_[61] * v_[108] + v_[69] * v_[106] -
+ 1.52322944854339e-09 * (v_[39] + v_[59]);
+ v_[22] = v_[29] * v_[22] + v_[14] * v_[53] - (v_[30] * v_[20] + v_[16] * v_[26]);
+ v_[115] = -0.0037997814 * v_[6] + 0.20986895 * v_[15] + 5.399998e-05 * v_[17] + 0.0055615274403 * v_[42] +
+ 0.647967112 * v_[23] + 0.647967112 * v_[93] + 5.399998e-05 * v_[51] + -0.011715295 * (v_[2] - v_[118]) +
+ v_[36] * v_[64] + v_[33] * v_[115] + -0.304 * v_[45] - -0.0055615274403 * v_[22] - -0.192033951 * v_[32] -
+ -0.0037997814 * v_[31];
+ v_[27] = -v_[27];
+ v_[71] = 0.160298259823722 * v_[35] + -1.52322944854339e-09 * v_[40] + 1.7423722 * v_[72] +
+ -1.7423722 * (v_[48] - v_[71]) + 0.160298259823722 * v_[76] + 1.52322944854339e-09 * v_[56] +
+ v_[60] * v_[108] + v_[61] * v_[106] - -0.008711861 * (v_[57] + v_[59]);
+ v_[39] = 0.008711861 * v_[35] + 1.52322944854339e-09 * v_[38] + 1.7423722 * v_[46] + 1.7423722 * v_[55] +
+ 1.52322944854339e-09 * v_[81] + -0.008711861 * v_[76] +
+ 2.1032 * (v_[84] * v_[75] + v_[63] * v_[80] - (v_[77] * v_[90] + v_[65] * v_[104])) + 2.1032 * v_[46] +
+ v_[89] * v_[107] + v_[87] * v_[100] - 0.160298259823722 * (v_[57] + v_[39]) -
+ 0.057838 * (v_[119] + v_[85]);
+ v_[22] = -0.011715295 * v_[6] + 5.399998e-05 * v_[15] + 0.20236395 * v_[17] + 0.01438086 * v_[42] +
+ -0.647967112 * v_[21] + 0.01438086 * v_[22] + 0.647967112 * v_[27] + -0.199538951 * v_[51] +
+ -0.011715295 * v_[31] + v_[44] * v_[71] + v_[43] * v_[39] + -1 * jac[9] - 5.399998e-05 * v_[32] -
+ -0.0037997814 * (v_[2] - v_[37]);
+ v_[39] = -0.0055615274403 * v_[6] + -0.647967112 * v_[17] + 2.327 * v_[21] + -2.327 * v_[27] +
+ -0.0055615274403 * v_[31] + 0.647967112 * v_[51] + v_[36] * v_[71] + v_[33] * v_[39] -
+ 0.01438086 * (v_[2] + v_[118]);
+ v_[45] = -0.01438086 * v_[6] + 0.647967112 * v_[15] + 2.327 * v_[23] + 2.327 * v_[93] + 0.647967112 * v_[32] +
+ 0.01438086 * v_[31] + -1 * v_[45] - -0.0055615274403 * (v_[2] + v_[37]);
+ jac[7] = -0.002752 * v_[3] + -0.022851627 * v_[6] + 0.293374233908935 * v_[7] + 0.0606159433962 * v_[42] +
+ -0.002752 * v_[117] + 0.046852534 * v_[11] + v_[13] * v_[115] + v_[28] * v_[22] + v_[52] * v_[39] +
+ v_[25] * v_[45] - -0.022851627 * v_[6] - 0.0055279857 * (v_[5] - v_[163]);
+ v_[2] = v_[24] * v_[24];
+ v_[141] = -0.160298259823722 * v_[122] + -0.008711861 * v_[123] + 1.7423722 * v_[124] + 1.7423722 * v_[141] +
+ 0.160298259823722 * v_[152] + -0.008711861 * v_[128] + v_[61] * v_[157] + v_[69] * v_[136] -
+ 1.52322944854339e-09 * (v_[142] + v_[130]);
+ v_[37] = v_[29] * v_[53] - v_[30] * v_[26];
+ v_[93] = -0.0037997814 * v_[116] + 0.20986895 * v_[112] + 5.399998e-05 * v_[113] + 0.0055615274403 * v_[125] +
+ 0.647967112 * v_[99] + 0.647967112 * v_[156] + 5.399998e-05 * v_[155] + -0.011715295 * (v_[2] - v_[160]) +
+ v_[36] * v_[151] + v_[33] * v_[159] + -0.304 * v_[141] - -0.0055615274403 * v_[37] -
+ -0.192033951 * v_[92] - -0.0037997814 * v_[96];
+ v_[32] = 0 - v_[97];
+ v_[31] = 0.160298259823722 * v_[120] + -1.52322944854339e-09 * v_[123] + 1.7423722 * v_[70] +
+ -1.7423722 * (v_[147] - v_[146]) + 0.160298259823722 * v_[150] + 1.52322944854339e-09 * v_[128] +
+ v_[60] * v_[157] + v_[61] * v_[136] - -0.008711861 * (v_[129] + v_[130]);
+ v_[158] = 0.008711861 * v_[120] + 1.52322944854339e-09 * v_[122] + 1.7423722 * v_[126] + 1.7423722 * v_[127] +
+ 1.52322944854339e-09 * v_[152] + -0.008711861 * v_[150] + 2.1032 * (v_[84] * v_[80] - v_[77] * v_[104]) +
+ 2.1032 * v_[126] + v_[89] * v_[145] + v_[87] * v_[148] - 0.160298259823722 * (v_[129] + v_[142]) -
+ 0.057838 * (v_[158] + v_[139]);
+ v_[37] =
+ -0.011715295 * v_[116] + 5.399998e-05 * v_[112] + 0.20236395 * v_[113] + 0.01438086 * v_[125] +
+ -0.647967112 * v_[110] + 0.01438086 * v_[37] + 0.647967112 * v_[32] + -0.199538951 * v_[155] +
+ -0.011715295 * v_[96] + v_[44] * v_[31] + v_[43] * v_[158] +
+ -1 * (0.09570849 * v_[120] + -0.0022920002 * v_[122] + -0.00021200017 * v_[123] + 0.160298259823722 * v_[70] +
+ 0.008711861 * v_[126] + 0.160298259823722 * (v_[146] - v_[147]) + -0.06337651 * v_[150] +
+ -0.0022920002 * v_[152] + v_[61] * v_[144] + v_[62] * v_[138] + v_[73] * v_[157] + v_[67] * v_[136] -
+ -0.008711861 * v_[127] - -0.00021200017 * v_[128] - 0.0036857284 * (v_[142] - v_[130])) -
+ 5.399998e-05 * v_[92] - -0.0037997814 * (v_[2] - v_[137]);
+ v_[32] = -0.0055615274403 * v_[116] + -0.647967112 * v_[113] + 2.327 * v_[110] + -2.327 * v_[32] +
+ -0.0055615274403 * v_[96] + 0.647967112 * v_[155] + v_[36] * v_[31] + v_[33] * v_[158] -
+ 0.01438086 * (v_[2] + v_[160]);
+ v_[141] = -0.01438086 * v_[116] + 0.647967112 * v_[112] + 2.327 * v_[99] + 2.327 * v_[156] + 0.647967112 * v_[92] +
+ 0.01438086 * v_[96] + -1 * v_[141] - -0.0055615274403 * (v_[2] + v_[137]);
+ jac[6] =
+ v_[0] * (0.0055279857 * v_[3] + 0.039002996 * v_[6] + -0.0099341499912 * v_[7] + -0.034462002 * v_[6] +
+ -0.022851627 * v_[11] + jac[8] - 0.0055279857 * v_[117] - -0.002752 * (0 - v_[5])) +
+ v_[1] * (0.0055279857 * v_[66] + 0.039002996 * v_[116] + -0.0099341499912 * v_[102] + -0.034462002 * v_[116] +
+ -0.022851627 * v_[83] + 0.010329999 * v_[116] + -0.0037997814 * v_[112] + -0.011715295 * v_[113] +
+ -0.0055615274403 * v_[110] + -0.01438086 * v_[99] + -0.0055615274403 * v_[97] +
+ 0.00750500000000001 * v_[96] + -0.0037997814 * v_[92] + v_[34] * v_[151] + v_[36] * v_[159] -
+ 0.01438086 * v_[156] - -0.011715295 * v_[155] - 5.399998e-05 * (v_[137] - v_[160]) -
+ 0.0055279857 * v_[161] - -0.002752 * (v_[162] - v_[10] * v_[10])) +
+ v_[9] * (0.08585553 * v_[3] + 0.0055279857 * v_[6] + 0.0099341499912 * v_[42] + 0.0055279857 * v_[6] +
+ -0.022851627 * (0 - v_[163]) + v_[12] * v_[115] + v_[13] * v_[22] + v_[18] * v_[39] +
+ v_[19] * v_[45] - 0.012390532 * v_[117] - -0.002752 * v_[11]) +
+ v_[4] * (0.08585553 * v_[66] + 0.0055279857 * v_[116] + 0.0099341499912 * v_[125] + 0.0055279857 * v_[116] +
+ -0.022851627 * (v_[162] - v_[8] * v_[8]) + v_[12] * v_[93] + v_[13] * v_[37] + v_[18] * v_[32] +
+ v_[19] * v_[141] - 0.012390532 * v_[161] - -0.002752 * v_[83]);
+ v_[45] = -1 * sin(x_in[2]);
+ v_[39] = cos(x_in[2]);
+ v_[22] = -v_[45];
+ v_[115] = v_[39] * v_[10] + v_[22] * x_in[7];
+ v_[163] = v_[45] * v_[66] + (-v_[115]) * x_in[8];
+ v_[162] = v_[45] * v_[10] + v_[39] * x_in[7];
+ v_[161] = v_[39] * v_[66] + v_[162] * x_in[8];
+ v_[160] = -0.112 * v_[39];
+ v_[137] = 0.112 * v_[45];
+ v_[155] = 0.112 * v_[39];
+ v_[156] = v_[137] * v_[10] + v_[155] * x_in[7];
+ v_[92] = v_[45] * v_[102] + v_[160] * v_[66] + (-v_[156]) * x_in[8];
+ v_[96] = 0.112 * v_[45];
+ v_[97] = v_[160] * v_[10] + v_[96] * x_in[7];
+ v_[102] = v_[39] * v_[102] + v_[137] * v_[66] + v_[97] * x_in[8];
+ v_[66] = v_[24] * v_[156];
+ v_[99] = v_[29] * v_[162] + v_[115] * v_[30];
+ v_[83] = v_[115] * v_[24];
+ v_[5] = -1 * v_[161];
+ v_[117] = v_[33] * v_[162];
+ v_[42] = v_[36] * v_[163] + (-v_[117]) * x_in[9];
+ v_[11] = v_[36] * v_[162];
+ v_[7] = v_[33] * v_[163] + v_[11] * x_in[9];
+ v_[6] = -0.304 * v_[163] + -1 * v_[102];
+ v_[4] = v_[44] * v_[115] + v_[36] * v_[97];
+ v_[3] = v_[33] * v_[92] + v_[43] * v_[161] + v_[4] * x_in[9];
+ v_[1] = -0.304 * v_[162] + -1 * v_[156];
+ v_[2] = -1 * v_[115];
+ v_[142] = v_[47] * v_[1] + v_[11] * v_[49] - (v_[50] * v_[4] + v_[2] * v_[54]);
+ v_[146] = v_[47] * v_[2] + v_[11] * v_[50];
+ v_[147] = v_[50] * v_[2] + v_[2] * v_[50];
+ v_[150] = v_[58] * v_[117] + v_[117] * v_[58];
+ v_[152] = v_[61] * v_[11] + v_[62] * v_[2];
+ v_[130] = v_[61] * v_[5] + v_[60] * v_[42] + (-v_[152]) * x_in[10];
+ v_[128] = v_[60] * v_[11] + v_[61] * v_[2];
+ v_[127] = v_[62] * v_[5] + v_[61] * v_[42] + v_[128] * x_in[10];
+ v_[139] = v_[43] * v_[115] + v_[33] * v_[97];
+ v_[129] = v_[36] * v_[92] + v_[44] * v_[161] + (-v_[139]) * x_in[9];
+ v_[23] = v_[73] * v_[2] + v_[74] * v_[11] + v_[61] * v_[1] + v_[60] * v_[4];
+ v_[15] = v_[67] * v_[5] + v_[68] * v_[42] + v_[69] * v_[6] + v_[61] * v_[129] + v_[23] * x_in[10];
+ v_[71] = v_[77] * v_[139] + v_[128] * v_[78] - (v_[79] * v_[23] + v_[117] * v_[80]);
+ v_[27] = v_[77] * v_[117] + v_[128] * v_[79];
+ v_[118] = v_[79] * v_[117] + v_[117] * v_[79];
+ v_[51] = v_[84] * v_[152] + v_[152] * v_[84];
+ v_[21] = v_[67] * v_[2] + v_[68] * v_[11] + v_[69] * v_[1] + v_[61] * v_[4];
+ v_[17] = v_[87] * v_[139] + v_[86] * v_[21] + v_[91] * v_[128];
+ v_[76] = v_[89] * v_[3] + v_[87] * v_[15] + v_[88] * v_[130] + (-v_[17]) * x_in[11];
+ v_[81] = v_[87] * v_[152] + v_[95] * v_[117];
+ v_[119] = v_[86] * v_[152] + v_[87] * v_[117];
+ v_[100] = v_[94] * v_[81] + v_[119] * v_[98];
+ v_[107] = 0.02075 * v_[117] + -0.184 * v_[152] + v_[23];
+ v_[90] = v_[94] * v_[107] + v_[119] * v_[101];
+ v_[85] = v_[103] * v_[17] + v_[128] * v_[105];
+ v_[75] = 1.547475 * v_[76] + 0.038686875 * v_[130] + 0.038686875 * v_[100] + -1.547475 * (v_[90] - v_[85]);
+ v_[65] = v_[89] * v_[139] + v_[87] * v_[21] + v_[88] * v_[128];
+ v_[63] = v_[103] * v_[128] + v_[128] * v_[103];
+ v_[57] = v_[98] * v_[81] + v_[81] * v_[98];
+ v_[107] = 1.547475 * (v_[98] * v_[107] + v_[81] * v_[101] - (v_[103] * v_[65] + v_[128] * v_[109])) +
+ 1.547475 * (v_[87] * v_[3] + v_[86] * v_[15] + v_[91] * v_[130] + v_[65] * x_in[11]) -
+ 0.038686875 * (v_[63] + v_[57]);
+ v_[55] = v_[95] * v_[7] + v_[87] * v_[127] + (-v_[119]) * x_in[11];
+ v_[46] = v_[87] * v_[7] + v_[86] * v_[127] + v_[81] * x_in[11];
+ v_[38] = v_[94] * v_[128] + v_[119] * v_[103];
+ v_[35] = v_[98] * v_[128] + v_[81] * v_[103];
+ v_[48] = v_[94] * v_[119] + v_[119] * v_[94];
+ jac[17] = 0.009277 * v_[130] + -0.000829 * v_[55] + 1.5e-05 * v_[46] + 0.038686875 * v_[76] + -0.00751 * v_[100] +
+ 0.038686875 * (v_[85] - v_[90]) + -0.000829 * v_[38] - 1.5e-05 * v_[35] - 0.000198 * (v_[57] - v_[48]);
+ v_[85] = v_[84] * v_[117] + v_[152] * v_[79];
+ v_[90] = v_[84] * v_[128] + v_[152] * v_[77];
+ v_[76] = -0.001243 * v_[7] + 0.029115 * v_[130] + -0.001387 * v_[127] + 0.057838 * v_[15] + 0.057838 * v_[71] +
+ -0.001387 * v_[27] + -0.012652 * (v_[118] - v_[51]) + v_[88] * v_[75] + v_[91] * v_[107] + jac[17] -
+ -0.008386 * v_[85] - -0.001243 * v_[90];
+ v_[106] = v_[73] * v_[5] + v_[74] * v_[42] + v_[61] * v_[6] + v_[60] * v_[129] + (-v_[21]) * x_in[10];
+ v_[108] = v_[84] * v_[139] + v_[152] * v_[78] - (v_[79] * v_[21] + v_[117] * v_[104]);
+ v_[72] = 0.02075 * v_[7] + -0.184 * v_[127] + v_[106];
+ v_[65] = v_[94] * v_[65] + v_[119] * v_[109] - (v_[98] * v_[17] + v_[81] * v_[105]);
+ v_[48] = -0.000829 * v_[130] + 0.003227 * v_[55] + 0.000198 * v_[46] + -0.038686875 * v_[72] + 0.000198 * v_[35] +
+ 1.5e-05 * (v_[63] - v_[48]) - 0.038686875 * v_[65] - -0.00146 * v_[38] - -0.000829 * v_[100];
+ v_[35] = 1.5e-05 * v_[130] + 0.000198 * v_[55] + 0.010737 * v_[46] + 0.00605 * v_[35] + 1.5e-05 * v_[100] -
+ 0.000198 * v_[38] - -0.000829 * (v_[63] - v_[57]);
+ v_[65] = 1.547475 * v_[72] + -0.038686875 * v_[55] + 0.038686875 * v_[38] + 1.547475 * v_[65];
+ v_[72] = v_[77] * v_[128] + v_[128] * v_[77];
+ jac[16] = 0.011046 * v_[7] + -0.001243 * v_[130] + -0.012652 * v_[127] + -0.001243 * v_[85] + 0.009683 * v_[90] +
+ v_[95] * v_[48] + v_[87] * v_[35] + 0.02075 * v_[65] - -0.012652 * v_[27] - -0.001387 * (v_[72] - v_[51]);
+ v_[35] = -0.012652 * v_[7] + -0.001387 * v_[130] + 0.019432 * v_[127] + -0.057838 * v_[106] + -0.018069 * v_[27] +
+ 0.057838 * v_[108] + -0.012652 * v_[90] + v_[87] * v_[48] + v_[86] * v_[35] + -0.184 * v_[65] -
+ -0.001387 * v_[85] - -0.001243 * (v_[118] - v_[72]);
+ v_[65] = 2.1032 * v_[106] + -0.057838 * v_[127] + 0.057838 * v_[27] + -2.1032 * v_[108] + v_[65];
+ v_[85] =
+ 2.1032 * v_[15] + 0.057838 * v_[130] + 0.057838 * v_[85] + 2.1032 * v_[71] + v_[87] * v_[75] + v_[86] * v_[107];
+ v_[4] = v_[58] * v_[4] + v_[117] * v_[54] - (v_[47] * v_[139] + v_[11] * v_[78]);
+ v_[71] = v_[58] * v_[2] + v_[117] * v_[50];
+ v_[15] = v_[58] * v_[11] + v_[117] * v_[47];
+ v_[130] = -0.0022920002 * v_[5] + 0.01828449 * v_[42] + 0.0036857284 * v_[7] + -0.160298259823722 * v_[6] +
+ 1.52322944854339e-09 * v_[3] + 1.52322944854339e-09 * v_[142] + 0.0036857284 * v_[146] +
+ -0.00021200017 * (v_[147] - v_[150]) + v_[60] * v_[76] + v_[61] * v_[35] + v_[74] * v_[65] +
+ v_[68] * v_[85] - 0.160298259823722 * v_[4] - 0.01404749 * v_[71] - -0.0022920002 * v_[15];
+ v_[1] = v_[58] * v_[1] + v_[117] * v_[49];
+ v_[139] = v_[50] * v_[139] + v_[2] * v_[78];
+ v_[11] = v_[47] * v_[11] + v_[11] * v_[47];
+ jac[15] = 0.09570849 * v_[5] + -0.0022920002 * v_[42] + -0.00021200017 * v_[7] + 0.160298259823722 * v_[129] +
+ 0.008711861 * v_[3] + 0.160298259823722 * (v_[139] - v_[1]) + -0.06337651 * v_[15] +
+ -0.0022920002 * v_[71] + v_[61] * v_[76] + v_[62] * v_[35] + v_[73] * v_[65] + v_[67] * v_[85] -
+ -0.008711861 * v_[142] - -0.00021200017 * v_[146] - 0.0036857284 * (v_[11] - v_[150]);
+ v_[35] = -0.00021200017 * v_[5] + 0.0036857284 * v_[42] + 0.081661 * v_[7] + -0.008711861 * v_[6] +
+ -1.52322944854339e-09 * v_[129] + -0.008711861 * v_[4] + 1.52322944854339e-09 * (v_[1] - v_[139]) +
+ 0.077424 * v_[146] + -0.00021200017 * v_[15] + jac[16] - 0.0036857284 * v_[71] -
+ -0.0022920002 * (v_[147] - v_[11]);
+ v_[76] = -v_[24] * v_[97];
+ v_[2] = v_[162] * v_[24];
+ v_[117] = v_[30] * v_[162] + v_[162] * v_[30];
+ v_[108] = v_[29] * v_[115] + v_[115] * v_[29];
+ jac[14] = -0.0037997814 * v_[163] + -0.011715295 * v_[161] + -0.0055615274403 * v_[92] + -0.01438086 * v_[102] +
+ -0.0055615274403 * v_[66] + 0.00750500000000001 * v_[99] + -0.0037997814 * v_[83] + v_[34] * v_[130] +
+ v_[36] * v_[35] - 0.01438086 * v_[76] - -0.011715295 * v_[2] - 5.399998e-05 * (v_[117] - v_[108]);
+ v_[4] = -0.160298259823722 * v_[42] + -0.008711861 * v_[7] + 1.7423722 * v_[6] + 1.7423722 * v_[4] +
+ 0.160298259823722 * v_[71] + -0.008711861 * v_[146] + v_[61] * v_[65] + v_[69] * v_[85] -
+ 1.52322944854339e-09 * (v_[11] + v_[150]);
+ v_[97] = v_[29] * v_[97] + v_[115] * v_[53] - (v_[30] * v_[156] + v_[162] * v_[26]);
+ v_[35] = 0.20986895 * v_[163] + 5.399998e-05 * v_[161] + 0.647967112 * v_[102] + 0.647967112 * v_[76] +
+ 5.399998e-05 * v_[2] + -0.011715295 * (0 - v_[108]) + v_[36] * v_[130] + v_[33] * v_[35] + -0.304 * v_[4] -
+ -0.0055615274403 * v_[97] - -0.192033951 * v_[83] - -0.0037997814 * v_[99];
+ v_[66] = -v_[66];
+ v_[139] = 0.160298259823722 * v_[5] + -1.52322944854339e-09 * v_[7] + 1.7423722 * v_[129] +
+ -1.7423722 * (v_[1] - v_[139]) + 0.160298259823722 * v_[15] + 1.52322944854339e-09 * v_[146] +
+ v_[60] * v_[65] + v_[61] * v_[85] - -0.008711861 * (v_[147] + v_[150]);
+ v_[11] = 0.008711861 * v_[5] + 1.52322944854339e-09 * v_[42] + 1.7423722 * v_[3] + 1.7423722 * v_[142] +
+ 1.52322944854339e-09 * v_[71] + -0.008711861 * v_[15] +
+ 2.1032 * (v_[84] * v_[23] + v_[152] * v_[80] - (v_[77] * v_[21] + v_[128] * v_[104])) + 2.1032 * v_[3] +
+ v_[89] * v_[75] + v_[87] * v_[107] - 0.160298259823722 * (v_[147] + v_[11]) - 0.057838 * (v_[72] + v_[51]);
+ v_[97] = 5.399998e-05 * v_[163] + 0.20236395 * v_[161] + -0.647967112 * v_[92] + 0.01438086 * v_[97] +
+ 0.647967112 * v_[66] + -0.199538951 * v_[2] + -0.011715295 * v_[99] + v_[44] * v_[139] + v_[43] * v_[11] +
+ -1 * jac[15] - 5.399998e-05 * v_[83] - -0.0037997814 * (0 - v_[117]);
+ v_[11] = -0.647967112 * v_[161] + 2.327 * v_[92] + -2.327 * v_[66] + -0.0055615274403 * v_[99] +
+ 0.647967112 * v_[2] + v_[36] * v_[139] + v_[33] * v_[11] - 0.01438086 * v_[108];
+ v_[4] = 0.647967112 * v_[163] + 2.327 * v_[102] + 2.327 * v_[76] + 0.647967112 * v_[83] + 0.01438086 * v_[99] +
+ -1 * v_[4] - -0.0055615274403 * v_[117];
+ jac[12] = v_[0] * jac[14] + v_[9] * (v_[12] * v_[35] + v_[45] * v_[93] + v_[13] * v_[97] + v_[39] * v_[37] +
+ v_[18] * v_[11] + v_[160] * v_[32] + v_[19] * v_[4] + v_[137] * v_[141]);
+ jac[13] = v_[13] * v_[35] + v_[39] * v_[93] + v_[28] * v_[97] + v_[22] * v_[37] + v_[52] * v_[11] +
+ v_[96] * v_[32] + v_[25] * v_[4] + v_[155] * v_[141];
+ v_[4] = cos(x_in[3]);
+ v_[11] = -v_[4];
+ v_[97] = -1 * sin(x_in[3]);
+ v_[35] = v_[4] * v_[30] + v_[97] * v_[24];
+ v_[96] = v_[11] * v_[116] + v_[97] * v_[112] + (-v_[35]) * x_in[9];
+ v_[155] = v_[97] * v_[30] + v_[11] * v_[24];
+ v_[112] = v_[97] * v_[116] + v_[4] * v_[112] + v_[155] * x_in[9];
+ v_[116] = -0.304 * v_[4];
+ v_[22] = -0.304 * v_[97];
+ v_[39] = v_[22] * v_[29] + v_[97] * v_[53];
+ v_[141] = v_[97] * v_[125] + v_[4] * v_[110] + v_[116] * v_[113] + v_[39] * x_in[9];
+ v_[32] = v_[155] * v_[49] - v_[50] * v_[39];
+ v_[37] = v_[155] * v_[50];
+ v_[93] = v_[58] * v_[35] + v_[35] * v_[58];
+ v_[137] = v_[61] * v_[155];
+ v_[160] = v_[60] * v_[96] + (-v_[137]) * x_in[10];
+ v_[45] = v_[60] * v_[155];
+ v_[117] = v_[61] * v_[96] + v_[45] * x_in[10];
+ v_[76] = v_[116] * v_[29] + v_[4] * v_[53];
+ v_[125] = (-v_[4]) * v_[125] + v_[97] * v_[110] + v_[22] * v_[113] + (-v_[76]) * x_in[9];
+ v_[110] = v_[74] * v_[155] + v_[60] * v_[39];
+ v_[113] = v_[68] * v_[96] + v_[61] * v_[125] + v_[110] * x_in[10];
+ v_[83] = v_[77] * v_[76] + v_[45] * v_[78] - (v_[79] * v_[110] + v_[35] * v_[80]);
+ v_[99] = v_[77] * v_[35] + v_[45] * v_[79];
+ v_[102] = v_[79] * v_[35] + v_[35] * v_[79];
+ v_[163] = v_[84] * v_[137] + v_[137] * v_[84];
+ v_[139] = v_[68] * v_[155] + v_[61] * v_[39];
+ v_[66] = v_[87] * v_[76] + v_[86] * v_[139] + v_[91] * v_[45];
+ v_[108] = v_[89] * v_[141] + v_[87] * v_[113] + v_[88] * v_[160] + (-v_[66]) * x_in[11];
+ v_[2] = v_[87] * v_[137] + v_[95] * v_[35];
+ v_[92] = v_[86] * v_[137] + v_[87] * v_[35];
+ v_[161] = v_[94] * v_[2] + v_[92] * v_[98];
+ v_[15] = 0.02075 * v_[35] + -0.184 * v_[137] + v_[110];
+ v_[71] = v_[94] * v_[15] + v_[92] * v_[101];
+ v_[72] = v_[103] * v_[66] + v_[45] * v_[105];
+ v_[107] = 1.547475 * v_[108] + 0.038686875 * v_[160] + 0.038686875 * v_[161] + -1.547475 * (v_[71] - v_[72]);
+ v_[75] = v_[89] * v_[76] + v_[87] * v_[139] + v_[88] * v_[45];
+ v_[21] = v_[103] * v_[45] + v_[45] * v_[103];
+ v_[51] = v_[98] * v_[2] + v_[2] * v_[98];
+ v_[15] = 1.547475 * (v_[98] * v_[15] + v_[2] * v_[101] - (v_[103] * v_[75] + v_[45] * v_[109])) +
+ 1.547475 * (v_[87] * v_[141] + v_[86] * v_[113] + v_[91] * v_[160] + v_[75] * x_in[11]) -
+ 0.038686875 * (v_[21] + v_[51]);
+ v_[23] = v_[95] * v_[112] + v_[87] * v_[117] + (-v_[92]) * x_in[11];
+ v_[128] = v_[87] * v_[112] + v_[86] * v_[117] + v_[2] * x_in[11];
+ v_[152] = v_[94] * v_[45] + v_[92] * v_[103];
+ v_[147] = v_[98] * v_[45] + v_[2] * v_[103];
+ v_[142] = v_[94] * v_[92] + v_[92] * v_[94];
+ jac[23] = 0.009277 * v_[160] + -0.000829 * v_[23] + 1.5e-05 * v_[128] + 0.038686875 * v_[108] + -0.00751 * v_[161] +
+ 0.038686875 * (v_[72] - v_[71]) + -0.000829 * v_[152] - 1.5e-05 * v_[147] - 0.000198 * (v_[51] - v_[142]);
+ v_[72] = v_[84] * v_[35] + v_[137] * v_[79];
+ v_[71] = v_[84] * v_[45] + v_[137] * v_[77];
+ v_[108] = -0.001243 * v_[112] + 0.029115 * v_[160] + -0.001387 * v_[117] + 0.057838 * v_[113] + 0.057838 * v_[83] +
+ -0.001387 * v_[99] + -0.012652 * (v_[102] - v_[163]) + v_[88] * v_[107] + v_[91] * v_[15] + jac[23] -
+ -0.008386 * v_[72] - -0.001243 * v_[71];
+ v_[3] = v_[74] * v_[96] + v_[60] * v_[125] + (-v_[139]) * x_in[10];
+ v_[42] = v_[84] * v_[76] + v_[137] * v_[78] - (v_[79] * v_[139] + v_[35] * v_[104]);
+ v_[5] = 0.02075 * v_[112] + -0.184 * v_[117] + v_[3];
+ v_[75] = v_[94] * v_[75] + v_[92] * v_[109] - (v_[98] * v_[66] + v_[2] * v_[105]);
+ v_[142] = -0.000829 * v_[160] + 0.003227 * v_[23] + 0.000198 * v_[128] + -0.038686875 * v_[5] + 0.000198 * v_[147] +
+ 1.5e-05 * (v_[21] - v_[142]) - 0.038686875 * v_[75] - -0.00146 * v_[152] - -0.000829 * v_[161];
+ v_[147] = 1.5e-05 * v_[160] + 0.000198 * v_[23] + 0.010737 * v_[128] + 0.00605 * v_[147] + 1.5e-05 * v_[161] -
+ 0.000198 * v_[152] - -0.000829 * (v_[21] - v_[51]);
+ v_[75] = 1.547475 * v_[5] + -0.038686875 * v_[23] + 0.038686875 * v_[152] + 1.547475 * v_[75];
+ v_[5] = v_[77] * v_[45] + v_[45] * v_[77];
+ jac[22] = 0.011046 * v_[112] + -0.001243 * v_[160] + -0.012652 * v_[117] + -0.001243 * v_[72] + 0.009683 * v_[71] +
+ v_[95] * v_[142] + v_[87] * v_[147] + 0.02075 * v_[75] - -0.012652 * v_[99] -
+ -0.001387 * (v_[5] - v_[163]);
+ v_[147] = -0.012652 * v_[112] + -0.001387 * v_[160] + 0.019432 * v_[117] + -0.057838 * v_[3] + -0.018069 * v_[99] +
+ 0.057838 * v_[42] + -0.012652 * v_[71] + v_[87] * v_[142] + v_[86] * v_[147] + -0.184 * v_[75] -
+ -0.001387 * v_[72] - -0.001243 * (v_[102] - v_[5]);
+ v_[75] = 2.1032 * v_[3] + -0.057838 * v_[117] + 0.057838 * v_[99] + -2.1032 * v_[42] + v_[75];
+ v_[72] = 2.1032 * v_[113] + 0.057838 * v_[160] + 0.057838 * v_[72] + 2.1032 * v_[83] + v_[87] * v_[107] +
+ v_[86] * v_[15];
+ v_[39] = v_[58] * v_[39] + v_[35] * v_[54] - (v_[47] * v_[76] + v_[155] * v_[78]);
+ v_[83] = v_[35] * v_[50];
+ v_[113] = v_[58] * v_[155] + v_[35] * v_[47];
+ v_[160] = 0.01828449 * v_[96] + 0.0036857284 * v_[112] + 1.52322944854339e-09 * v_[141] +
+ 1.52322944854339e-09 * v_[32] + 0.0036857284 * v_[37] + -0.00021200017 * (0 - v_[93]) + v_[60] * v_[108] +
+ v_[61] * v_[147] + v_[74] * v_[75] + v_[68] * v_[72] - 0.160298259823722 * v_[39] - 0.01404749 * v_[83] -
+ -0.0022920002 * v_[113];
+ v_[35] = v_[35] * v_[49];
+ v_[76] = v_[50] * v_[76];
+ v_[155] = v_[47] * v_[155] + v_[155] * v_[47];
+ jac[21] = -0.0022920002 * v_[96] + -0.00021200017 * v_[112] + 0.160298259823722 * v_[125] + 0.008711861 * v_[141] +
+ 0.160298259823722 * (v_[76] - v_[35]) + -0.06337651 * v_[113] + -0.0022920002 * v_[83] +
+ v_[61] * v_[108] + v_[62] * v_[147] + v_[73] * v_[75] + v_[67] * v_[72] - -0.008711861 * v_[32] -
+ -0.00021200017 * v_[37] - 0.0036857284 * (v_[155] - v_[93]);
+ v_[147] = 0.0036857284 * v_[96] + 0.081661 * v_[112] + -1.52322944854339e-09 * v_[125] + -0.008711861 * v_[39] +
+ 1.52322944854339e-09 * (v_[35] - v_[76]) + 0.077424 * v_[37] + -0.00021200017 * v_[113] + jac[22] -
+ 0.0036857284 * v_[83] - -0.0022920002 * (0 - v_[155]);
+ jac[20] = v_[34] * v_[160] + v_[11] * v_[151] + v_[36] * v_[147] + v_[97] * v_[159];
+ v_[39] = -0.160298259823722 * v_[96] + -0.008711861 * v_[112] + 1.7423722 * v_[39] + 0.160298259823722 * v_[83] +
+ -0.008711861 * v_[37] + v_[61] * v_[75] + v_[69] * v_[72] - 1.52322944854339e-09 * (v_[155] + v_[93]);
+ v_[147] = v_[36] * v_[160] + v_[97] * v_[151] + v_[33] * v_[147] + v_[4] * v_[159] + -0.304 * v_[39];
+ v_[76] = -1.52322944854339e-09 * v_[112] + 1.7423722 * v_[125] + -1.7423722 * (v_[35] - v_[76]) +
+ 0.160298259823722 * v_[113] + 1.52322944854339e-09 * v_[37] + v_[60] * v_[75] + v_[61] * v_[72] -
+ -0.008711861 * v_[93];
+ v_[155] = 1.52322944854339e-09 * v_[96] + 1.7423722 * v_[141] + 1.7423722 * v_[32] + 1.52322944854339e-09 * v_[83] +
+ -0.008711861 * v_[113] +
+ 2.1032 * (v_[84] * v_[110] + v_[137] * v_[80] - (v_[77] * v_[139] + v_[45] * v_[104])) +
+ 2.1032 * v_[141] + v_[89] * v_[107] + v_[87] * v_[15] - 0.160298259823722 * v_[155] -
+ 0.057838 * (v_[5] + v_[163]);
+ v_[22] = v_[44] * v_[76] + v_[22] * v_[31] + v_[43] * v_[155] + v_[116] * v_[158] + -1 * jac[21];
+ v_[155] = v_[36] * v_[76] + v_[97] * v_[31] + v_[33] * v_[155] + v_[4] * v_[158];
+ v_[39] = -1 * v_[39];
+ jac[18] = v_[0] * jac[20] + v_[9] * (v_[12] * v_[147] + v_[13] * v_[22] + v_[18] * v_[155] + v_[19] * v_[39]);
+ jac[19] = v_[13] * v_[147] + v_[28] * v_[22] + v_[52] * v_[155] + v_[25] * v_[39];
+ v_[39] = cos(x_in[4]);
+ v_[155] = -1 * sin(x_in[4]);
+ v_[22] = -v_[155];
+ v_[147] = v_[39] * v_[47] + v_[22] * v_[50];
+ v_[76] = v_[39] * v_[120] + v_[155] * v_[122] + (-v_[147]) * x_in[10];
+ v_[97] = v_[155] * v_[47] + v_[39] * v_[50];
+ v_[4] = v_[22] * v_[120] + v_[39] * v_[122] + v_[97] * x_in[10];
+ v_[158] = 0.112 * v_[39];
+ v_[31] = 0.112 * v_[155];
+ v_[116] = -v_[155];
+ v_[113] = 0.112 * v_[155];
+ v_[83] = -0.112 * v_[39];
+ v_[5] = v_[113] * v_[50] + v_[83] * v_[47] + v_[39] * v_[49] + v_[155] * v_[54];
+ v_[15] = v_[158] * v_[120] + v_[31] * v_[122] + v_[116] * v_[124] + v_[39] * v_[70] + v_[5] * x_in[10];
+ v_[107] = v_[97] * v_[78] - v_[79] * v_[5];
+ v_[139] = v_[97] * v_[79];
+ v_[163] = v_[84] * v_[147] + v_[147] * v_[84];
+ v_[110] = v_[158] * v_[50] + v_[31] * v_[47] + v_[116] * v_[49] + v_[39] * v_[54];
+ v_[45] = v_[86] * v_[110] + v_[91] * v_[97];
+ v_[137] = v_[87] * v_[15] + v_[88] * v_[76] + (-v_[45]) * x_in[11];
+ v_[32] = v_[87] * v_[147];
+ v_[141] = v_[86] * v_[147];
+ v_[96] = v_[94] * v_[32] + v_[141] * v_[98];
+ v_[35] = -0.184 * v_[147] + v_[5];
+ v_[72] = v_[94] * v_[35] + v_[141] * v_[101];
+ v_[75] = v_[103] * v_[45] + v_[97] * v_[105];
+ v_[125] = 1.547475 * v_[137] + 0.038686875 * v_[76] + 0.038686875 * v_[96] + -1.547475 * (v_[72] - v_[75]);
+ v_[93] = v_[87] * v_[110] + v_[88] * v_[97];
+ v_[37] = v_[103] * v_[97] + v_[97] * v_[103];
+ v_[112] = v_[98] * v_[32] + v_[32] * v_[98];
+ v_[35] = 1.547475 * (v_[98] * v_[35] + v_[32] * v_[101] - (v_[103] * v_[93] + v_[97] * v_[109])) +
+ 1.547475 * (v_[86] * v_[15] + v_[91] * v_[76] + v_[93] * x_in[11]) - 0.038686875 * (v_[37] + v_[112]);
+ v_[160] = v_[87] * v_[4] + (-v_[141]) * x_in[11];
+ v_[159] = v_[86] * v_[4] + v_[32] * x_in[11];
+ v_[151] = v_[94] * v_[97] + v_[141] * v_[103];
+ v_[11] = v_[98] * v_[97] + v_[32] * v_[103];
+ v_[108] = v_[94] * v_[141] + v_[141] * v_[94];
+ jac[29] = 0.009277 * v_[76] + -0.000829 * v_[160] + 1.5e-05 * v_[159] + 0.038686875 * v_[137] + -0.00751 * v_[96] +
+ 0.038686875 * (v_[75] - v_[72]) + -0.000829 * v_[151] - 1.5e-05 * v_[11] - 0.000198 * (v_[112] - v_[108]);
+ v_[75] = v_[147] * v_[79];
+ v_[72] = v_[84] * v_[97] + v_[147] * v_[77];
+ v_[137] = 0.029115 * v_[76] + -0.001387 * v_[4] + 0.057838 * v_[15] + 0.057838 * v_[107] + -0.001387 * v_[139] +
+ -0.012652 * (0 - v_[163]) + v_[88] * v_[125] + v_[91] * v_[35] + jac[29] - -0.008386 * v_[75] -
+ -0.001243 * v_[72];
+ v_[70] = v_[113] * v_[120] + v_[83] * v_[122] + v_[39] * v_[124] + v_[155] * v_[70] + (-v_[110]) * x_in[10];
+ v_[124] = v_[147] * v_[78] - v_[79] * v_[110];
+ v_[122] = -0.184 * v_[4] + v_[70];
+ v_[93] = v_[94] * v_[93] + v_[141] * v_[109] - (v_[98] * v_[45] + v_[32] * v_[105]);
+ v_[108] = -0.000829 * v_[76] + 0.003227 * v_[160] + 0.000198 * v_[159] + -0.038686875 * v_[122] +
+ 0.000198 * v_[11] + 1.5e-05 * (v_[37] - v_[108]) - 0.038686875 * v_[93] - -0.00146 * v_[151] -
+ -0.000829 * v_[96];
+ v_[11] = 1.5e-05 * v_[76] + 0.000198 * v_[160] + 0.010737 * v_[159] + 0.00605 * v_[11] + 1.5e-05 * v_[96] -
+ 0.000198 * v_[151] - -0.000829 * (v_[37] - v_[112]);
+ v_[93] = 1.547475 * v_[122] + -0.038686875 * v_[160] + 0.038686875 * v_[151] + 1.547475 * v_[93];
+ v_[122] = v_[77] * v_[97] + v_[97] * v_[77];
+ jac[28] = -0.001243 * v_[76] + -0.012652 * v_[4] + -0.001243 * v_[75] + 0.009683 * v_[72] + v_[95] * v_[108] +
+ v_[87] * v_[11] + 0.02075 * v_[93] - -0.012652 * v_[139] - -0.001387 * (v_[122] - v_[163]);
+ v_[11] = -0.001387 * v_[76] + 0.019432 * v_[4] + -0.057838 * v_[70] + -0.018069 * v_[139] + 0.057838 * v_[124] +
+ -0.012652 * v_[72] + v_[87] * v_[108] + v_[86] * v_[11] + -0.184 * v_[93] - -0.001387 * v_[75] -
+ -0.001243 * (0 - v_[122]);
+ v_[93] = 2.1032 * v_[70] + -0.057838 * v_[4] + 0.057838 * v_[139] + -2.1032 * v_[124] + v_[93];
+ v_[75] =
+ 2.1032 * v_[15] + 0.057838 * v_[76] + 0.057838 * v_[75] + 2.1032 * v_[107] + v_[87] * v_[125] + v_[86] * v_[35];
+ jac[27] = v_[61] * v_[137] + v_[39] * v_[144] + v_[62] * v_[11] + v_[22] * v_[138] + v_[73] * v_[93] +
+ v_[113] * v_[157] + v_[67] * v_[75] + v_[158] * v_[136];
+ v_[11] = v_[60] * v_[137] + v_[155] * v_[144] + v_[61] * v_[11] + v_[39] * v_[138] + v_[74] * v_[93] +
+ v_[83] * v_[157] + v_[68] * v_[75] + v_[31] * v_[136];
+ jac[26] = v_[34] * v_[11] + v_[36] * jac[28];
+ v_[116] = v_[61] * v_[93] + v_[39] * v_[157] + v_[69] * v_[75] + v_[116] * v_[136];
+ v_[11] = v_[36] * v_[11] + v_[33] * jac[28] + -0.304 * v_[116];
+ v_[75] = v_[60] * v_[93] + v_[155] * v_[157] + v_[61] * v_[75] + v_[39] * v_[136];
+ v_[122] = 2.1032 * (v_[84] * v_[5] + v_[147] * v_[80] - (v_[77] * v_[110] + v_[97] * v_[104])) + v_[89] * v_[125] +
+ v_[87] * v_[35] - 0.057838 * (v_[122] + v_[163]);
+ v_[35] = v_[44] * v_[75] + v_[43] * v_[122] + -1 * jac[27];
+ v_[122] = v_[36] * v_[75] + v_[33] * v_[122];
+ v_[116] = -1 * v_[116];
+ jac[24] = v_[0] * jac[26] + v_[9] * (v_[12] * v_[11] + v_[13] * v_[35] + v_[18] * v_[122] + v_[19] * v_[116]);
+ jac[25] = v_[13] * v_[11] + v_[28] * v_[35] + v_[52] * v_[122] + v_[25] * v_[116];
+ v_[116] = cos(x_in[5]);
+ v_[122] = -v_[116];
+ v_[35] = -1 * sin(x_in[5]);
+ v_[11] = 0.02075 * v_[116] + 0.184 * v_[35];
+ v_[75] = 0.184 * v_[116] - 0.02075 * v_[35];
+ v_[125] = v_[35] * v_[78] + v_[116] * v_[104] + v_[75] * v_[77];
+ v_[110] = v_[122] * v_[126] + v_[35] * v_[135] + v_[11] * v_[132] + (-v_[125]) * x_in[11];
+ v_[163] = -v_[116];
+ v_[5] = v_[35] * v_[84] + v_[163] * v_[79];
+ v_[97] = v_[116] * v_[84] + v_[35] * v_[79];
+ v_[147] = v_[94] * v_[5] + v_[97] * v_[98];
+ v_[93] = v_[97] * v_[101];
+ v_[155] = v_[103] * v_[125];
+ v_[39] = 1.547475 * v_[110] + 0.038686875 * v_[147] + -1.547475 * (v_[93] - v_[155]);
+ v_[136] = v_[122] * v_[78] + v_[35] * v_[104] + v_[11] * v_[77];
+ v_[157] = v_[98] * v_[5] + v_[5] * v_[98];
+ v_[135] = 1.547475 * (v_[5] * v_[101] - v_[103] * v_[136]) +
+ 1.547475 * (v_[35] * v_[126] + v_[116] * v_[135] + v_[75] * v_[132] + v_[136] * x_in[11]) -
+ 0.038686875 * v_[157];
+ v_[132] = v_[163] * v_[123] + v_[35] * v_[133] + (-v_[97]) * x_in[11];
+ v_[133] = v_[35] * v_[123] + v_[116] * v_[133] + v_[5] * x_in[11];
+ v_[123] = v_[97] * v_[103];
+ v_[126] = v_[5] * v_[103];
+ v_[137] = v_[94] * v_[97] + v_[97] * v_[94];
+ jac[35] = -0.000829 * v_[132] + 1.5e-05 * v_[133] + 0.038686875 * v_[110] + -0.00751 * v_[147] +
+ 0.038686875 * (v_[155] - v_[93]) + -0.000829 * v_[123] - 1.5e-05 * v_[126] -
+ 0.000198 * (v_[157] - v_[137]);
+ v_[75] = v_[88] * v_[39] + v_[11] * v_[145] + v_[91] * v_[135] + v_[75] * v_[148] + jac[35];
+ v_[136] = v_[94] * v_[136] + v_[97] * v_[109] - (v_[98] * v_[125] + v_[5] * v_[105]);
+ v_[137] = 0.003227 * v_[132] + 0.000198 * v_[133] + 0.000198 * v_[126] + 1.5e-05 * (0 - v_[137]) -
+ 0.038686875 * v_[136] - -0.00146 * v_[123] - -0.000829 * v_[147];
+ v_[126] = 0.000198 * v_[132] + 0.010737 * v_[133] + 0.00605 * v_[126] + 1.5e-05 * v_[147] - 0.000198 * v_[123] -
+ -0.000829 * (0 - v_[157]);
+ v_[136] = -0.038686875 * v_[132] + 0.038686875 * v_[123] + 1.547475 * v_[136];
+ jac[34] = v_[95] * v_[137] + v_[163] * v_[154] + v_[87] * v_[126] + v_[35] * v_[153] + 0.02075 * v_[136];
+ v_[126] = v_[87] * v_[137] + v_[35] * v_[154] + v_[86] * v_[126] + v_[116] * v_[153] + -0.184 * v_[136];
+ v_[116] = v_[87] * v_[39] + v_[35] * v_[145] + v_[86] * v_[135] + v_[116] * v_[148];
+ jac[33] = v_[61] * v_[75] + v_[62] * v_[126] + v_[73] * v_[136] + v_[67] * v_[116];
+ v_[126] = v_[60] * v_[75] + v_[61] * v_[126] + v_[74] * v_[136] + v_[68] * v_[116];
+ jac[32] = v_[34] * v_[126] + v_[36] * jac[34];
+ v_[75] = v_[61] * v_[136] + v_[69] * v_[116];
+ v_[126] = v_[36] * v_[126] + v_[33] * jac[34] + -0.304 * v_[75];
+ v_[116] = v_[60] * v_[136] + v_[61] * v_[116];
+ v_[135] = v_[89] * v_[39] + v_[122] * v_[145] + v_[87] * v_[135] + v_[35] * v_[148];
+ v_[39] = v_[44] * v_[116] + v_[43] * v_[135] + -1 * jac[33];
+ v_[135] = v_[36] * v_[116] + v_[33] * v_[135];
+ v_[75] = -1 * v_[75];
+ jac[30] = v_[0] * jac[32] + v_[9] * (v_[12] * v_[126] + v_[13] * v_[39] + v_[18] * v_[135] + v_[19] * v_[75]);
+ jac[31] = v_[13] * v_[126] + v_[28] * v_[39] + v_[52] * v_[135] + v_[25] * v_[75];
+ v_[75] = (-v_[0]) * x_in[7];
+ v_[135] = v_[9] * x_in[7];
+ v_[39] = v_[8] * v_[9] + v_[0] * v_[10];
+ v_[126] = v_[13] * v_[9];
+ v_[116] = v_[12] * v_[75] + (-v_[126]) * x_in[8];
+ v_[35] = v_[12] * v_[9];
+ v_[122] = v_[13] * v_[75] + v_[35] * x_in[8];
+ v_[148] = v_[19] * v_[9];
+ v_[145] = v_[18] * v_[75] + (-v_[148]) * x_in[8];
+ v_[136] = v_[18] * v_[9];
+ v_[137] = v_[19] * v_[75] + v_[136] * x_in[8];
+ v_[153] = v_[24] * v_[148] + v_[0] * v_[26];
+ v_[154] = v_[29] * v_[35] + v_[126] * v_[30];
+ v_[163] = v_[29] * v_[0] + v_[126] * v_[24];
+ v_[123] = -1 * v_[122];
+ v_[132] = v_[33] * v_[35] + v_[36] * v_[0];
+ v_[133] = v_[34] * v_[135] + v_[36] * v_[116] + (-v_[132]) * x_in[9];
+ v_[157] = v_[36] * v_[35] + v_[34] * v_[0];
+ v_[147] = v_[36] * v_[135] + v_[33] * v_[116] + v_[157] * x_in[9];
+ v_[97] = -0.304 * v_[116] + -1 * v_[137];
+ v_[5] = v_[44] * v_[126] + v_[36] * v_[136];
+ v_[125] = v_[33] * v_[145] + v_[43] * v_[122] + v_[5] * x_in[9];
+ v_[11] = -0.304 * v_[35] + -1 * v_[148];
+ v_[155] = -1 * v_[126];
+ v_[93] = v_[47] * v_[11] + v_[157] * v_[49] - (v_[50] * v_[5] + v_[155] * v_[54]);
+ v_[110] = v_[47] * v_[155] + v_[157] * v_[50];
+ v_[83] = v_[50] * v_[155] + v_[155] * v_[50];
+ v_[31] = v_[58] * v_[132] + v_[132] * v_[58];
+ v_[138] = v_[61] * v_[157] + v_[62] * v_[155];
+ v_[144] = v_[61] * v_[123] + v_[60] * v_[133] + (-v_[138]) * x_in[10];
+ v_[113] = v_[60] * v_[157] + v_[61] * v_[155];
+ v_[158] = v_[62] * v_[123] + v_[61] * v_[133] + v_[113] * x_in[10];
+ v_[22] = v_[43] * v_[126] + v_[33] * v_[136];
+ v_[107] = v_[36] * v_[145] + v_[44] * v_[122] + (-v_[22]) * x_in[9];
+ v_[15] = v_[73] * v_[155] + v_[74] * v_[157] + v_[61] * v_[11] + v_[60] * v_[5];
+ v_[76] = v_[67] * v_[123] + v_[68] * v_[133] + v_[69] * v_[97] + v_[61] * v_[107] + v_[15] * x_in[10];
+ v_[124] = v_[77] * v_[22] + v_[113] * v_[78] - (v_[79] * v_[15] + v_[132] * v_[80]);
+ v_[70] = v_[77] * v_[132] + v_[113] * v_[79];
+ v_[139] = v_[79] * v_[132] + v_[132] * v_[79];
+ v_[4] = v_[84] * v_[138] + v_[138] * v_[84];
+ v_[108] = v_[67] * v_[155] + v_[68] * v_[157] + v_[69] * v_[11] + v_[61] * v_[5];
+ v_[72] = v_[87] * v_[22] + v_[86] * v_[108] + v_[91] * v_[113];
+ v_[151] = v_[89] * v_[125] + v_[87] * v_[76] + v_[88] * v_[144] + (-v_[72]) * x_in[11];
+ v_[160] = v_[87] * v_[138] + v_[95] * v_[132];
+ v_[159] = v_[86] * v_[138] + v_[87] * v_[132];
+ v_[112] = v_[94] * v_[160] + v_[159] * v_[98];
+ v_[37] = 0.02075 * v_[132] + -0.184 * v_[138] + v_[15];
+ v_[96] = v_[94] * v_[37] + v_[159] * v_[101];
+ v_[141] = v_[103] * v_[72] + v_[113] * v_[105];
+ v_[32] = 1.547475 * v_[151] + 0.038686875 * v_[144] + 0.038686875 * v_[112] + -1.547475 * (v_[96] - v_[141]);
+ v_[45] = v_[89] * v_[22] + v_[87] * v_[108] + v_[88] * v_[113];
+ v_[120] = v_[103] * v_[113] + v_[113] * v_[103];
+ v_[42] = v_[98] * v_[160] + v_[160] * v_[98];
+ v_[37] = 1.547475 * (v_[98] * v_[37] + v_[160] * v_[101] - (v_[103] * v_[45] + v_[113] * v_[109])) +
+ 1.547475 * (v_[87] * v_[125] + v_[86] * v_[76] + v_[91] * v_[144] + v_[45] * x_in[11]) -
+ 0.038686875 * (v_[120] + v_[42]);
+ v_[3] = v_[95] * v_[147] + v_[87] * v_[158] + (-v_[159]) * x_in[11];
+ v_[99] = v_[87] * v_[147] + v_[86] * v_[158] + v_[160] * x_in[11];
+ v_[117] = v_[94] * v_[113] + v_[159] * v_[103];
+ v_[142] = v_[98] * v_[113] + v_[160] * v_[103];
+ v_[71] = v_[94] * v_[159] + v_[159] * v_[94];
+ jac[41] = 0.009277 * v_[144] + -0.000829 * v_[3] + 1.5e-05 * v_[99] + 0.038686875 * v_[151] + -0.00751 * v_[112] +
+ 0.038686875 * (v_[141] - v_[96]) + -0.000829 * v_[117] - 1.5e-05 * v_[142] - 0.000198 * (v_[42] - v_[71]);
+ v_[141] = v_[84] * v_[132] + v_[138] * v_[79];
+ v_[96] = v_[84] * v_[113] + v_[138] * v_[77];
+ v_[151] = -0.001243 * v_[147] + 0.029115 * v_[144] + -0.001387 * v_[158] + 0.057838 * v_[76] + 0.057838 * v_[124] +
+ -0.001387 * v_[70] + -0.012652 * (v_[139] - v_[4]) + v_[88] * v_[32] + v_[91] * v_[37] + jac[41] -
+ -0.008386 * v_[141] - -0.001243 * v_[96];
+ v_[102] = v_[73] * v_[123] + v_[74] * v_[133] + v_[61] * v_[97] + v_[60] * v_[107] + (-v_[108]) * x_in[10];
+ v_[152] = v_[84] * v_[22] + v_[138] * v_[78] - (v_[79] * v_[108] + v_[132] * v_[104]);
+ v_[23] = 0.02075 * v_[147] + -0.184 * v_[158] + v_[102];
+ v_[45] = v_[94] * v_[45] + v_[159] * v_[109] - (v_[98] * v_[72] + v_[160] * v_[105]);
+ v_[71] = -0.000829 * v_[144] + 0.003227 * v_[3] + 0.000198 * v_[99] + -0.038686875 * v_[23] + 0.000198 * v_[142] +
+ 1.5e-05 * (v_[120] - v_[71]) - 0.038686875 * v_[45] - -0.00146 * v_[117] - -0.000829 * v_[112];
+ v_[142] = 1.5e-05 * v_[144] + 0.000198 * v_[3] + 0.010737 * v_[99] + 0.00605 * v_[142] + 1.5e-05 * v_[112] -
+ 0.000198 * v_[117] - -0.000829 * (v_[120] - v_[42]);
+ v_[45] = 1.547475 * v_[23] + -0.038686875 * v_[3] + 0.038686875 * v_[117] + 1.547475 * v_[45];
+ v_[23] = v_[77] * v_[113] + v_[113] * v_[77];
+ jac[40] = 0.011046 * v_[147] + -0.001243 * v_[144] + -0.012652 * v_[158] + -0.001243 * v_[141] + 0.009683 * v_[96] +
+ v_[95] * v_[71] + v_[87] * v_[142] + 0.02075 * v_[45] - -0.012652 * v_[70] - -0.001387 * (v_[23] - v_[4]);
+ v_[142] = -0.012652 * v_[147] + -0.001387 * v_[144] + 0.019432 * v_[158] + -0.057838 * v_[102] +
+ -0.018069 * v_[70] + 0.057838 * v_[152] + -0.012652 * v_[96] + v_[87] * v_[71] + v_[86] * v_[142] +
+ -0.184 * v_[45] - -0.001387 * v_[141] - -0.001243 * (v_[139] - v_[23]);
+ v_[45] = 2.1032 * v_[102] + -0.057838 * v_[158] + 0.057838 * v_[70] + -2.1032 * v_[152] + v_[45];
+ v_[141] = 2.1032 * v_[76] + 0.057838 * v_[144] + 0.057838 * v_[141] + 2.1032 * v_[124] + v_[87] * v_[32] +
+ v_[86] * v_[37];
+ v_[5] = v_[58] * v_[5] + v_[132] * v_[54] - (v_[47] * v_[22] + v_[157] * v_[78]);
+ v_[124] = v_[58] * v_[155] + v_[132] * v_[50];
+ v_[76] = v_[58] * v_[157] + v_[132] * v_[47];
+ v_[144] = -0.0022920002 * v_[123] + 0.01828449 * v_[133] + 0.0036857284 * v_[147] + -0.160298259823722 * v_[97] +
+ 1.52322944854339e-09 * v_[125] + 1.52322944854339e-09 * v_[93] + 0.0036857284 * v_[110] +
+ -0.00021200017 * (v_[83] - v_[31]) + v_[60] * v_[151] + v_[61] * v_[142] + v_[74] * v_[45] +
+ v_[68] * v_[141] - 0.160298259823722 * v_[5] - 0.01404749 * v_[124] - -0.0022920002 * v_[76];
+ v_[11] = v_[58] * v_[11] + v_[132] * v_[49];
+ v_[22] = v_[50] * v_[22] + v_[155] * v_[78];
+ v_[157] = v_[47] * v_[157] + v_[157] * v_[47];
+ jac[39] = 0.09570849 * v_[123] + -0.0022920002 * v_[133] + -0.00021200017 * v_[147] + 0.160298259823722 * v_[107] +
+ 0.008711861 * v_[125] + 0.160298259823722 * (v_[22] - v_[11]) + -0.06337651 * v_[76] +
+ -0.0022920002 * v_[124] + v_[61] * v_[151] + v_[62] * v_[142] + v_[73] * v_[45] + v_[67] * v_[141] -
+ -0.008711861 * v_[93] - -0.00021200017 * v_[110] - 0.0036857284 * (v_[157] - v_[31]);
+ v_[142] = -0.00021200017 * v_[123] + 0.0036857284 * v_[133] + 0.081661 * v_[147] + -0.008711861 * v_[97] +
+ -1.52322944854339e-09 * v_[107] + -0.008711861 * v_[5] + 1.52322944854339e-09 * (v_[11] - v_[22]) +
+ 0.077424 * v_[110] + -0.00021200017 * v_[76] + jac[40] - 0.0036857284 * v_[124] -
+ -0.0022920002 * (v_[83] - v_[157]);
+ v_[151] = -(v_[24] * v_[136] + v_[0] * v_[53]);
+ v_[155] = v_[30] * v_[0] + v_[35] * v_[24];
+ v_[132] = v_[30] * v_[35] + v_[35] * v_[30];
+ v_[152] = v_[29] * v_[126] + v_[126] * v_[29];
+ jac[38] = 0.010329999 * v_[135] + -0.0037997814 * v_[116] + -0.011715295 * v_[122] + -0.0055615274403 * v_[145] +
+ -0.01438086 * v_[137] + -0.0055615274403 * v_[153] + 0.00750500000000001 * v_[154] +
+ -0.0037997814 * v_[163] + v_[34] * v_[144] + v_[36] * v_[142] - 0.01438086 * v_[151] -
+ -0.011715295 * v_[155] - 5.399998e-05 * (v_[132] - v_[152]);
+ v_[102] = v_[0] * x_in[7];
+ v_[70] = v_[10] * v_[9] + v_[9] * v_[10];
+ v_[158] = v_[8] * v_[0] + v_[0] * v_[8];
+ v_[71] = v_[24] * v_[0] + v_[0] * v_[24];
+ v_[5] = -0.160298259823722 * v_[133] + -0.008711861 * v_[147] + 1.7423722 * v_[97] + 1.7423722 * v_[5] +
+ 0.160298259823722 * v_[124] + -0.008711861 * v_[110] + v_[61] * v_[45] + v_[69] * v_[141] -
+ 1.52322944854339e-09 * (v_[157] + v_[31]);
+ v_[136] = v_[29] * v_[136] + v_[126] * v_[53] - (v_[30] * v_[148] + v_[35] * v_[26]);
+ v_[142] = -0.0037997814 * v_[135] + 0.20986895 * v_[116] + 5.399998e-05 * v_[122] + 0.647967112 * v_[137] +
+ 0.647967112 * v_[151] + 5.399998e-05 * v_[155] + -0.011715295 * (v_[71] - v_[152]) + v_[36] * v_[144] +
+ v_[33] * v_[142] + -0.304 * v_[5] - -0.0055615274403 * v_[136] - -0.192033951 * v_[163] -
+ -0.0037997814 * v_[154];
+ v_[153] = -v_[153];
+ v_[22] = 0.160298259823722 * v_[123] + -1.52322944854339e-09 * v_[147] + 1.7423722 * v_[107] +
+ -1.7423722 * (v_[11] - v_[22]) + 0.160298259823722 * v_[76] + 1.52322944854339e-09 * v_[110] +
+ v_[60] * v_[45] + v_[61] * v_[141] - -0.008711861 * (v_[83] + v_[31]);
+ v_[157] = 0.008711861 * v_[123] + 1.52322944854339e-09 * v_[133] + 1.7423722 * v_[125] + 1.7423722 * v_[93] +
+ 1.52322944854339e-09 * v_[124] + -0.008711861 * v_[76] +
+ 2.1032 * (v_[84] * v_[15] + v_[138] * v_[80] - (v_[77] * v_[108] + v_[113] * v_[104])) +
+ 2.1032 * v_[125] + v_[89] * v_[32] + v_[87] * v_[37] - 0.160298259823722 * (v_[83] + v_[157]) -
+ 0.057838 * (v_[23] + v_[4]);
+ v_[136] = -0.011715295 * v_[135] + 5.399998e-05 * v_[116] + 0.20236395 * v_[122] + -0.647967112 * v_[145] +
+ 0.01438086 * v_[136] + 0.647967112 * v_[153] + -0.199538951 * v_[155] + -0.011715295 * v_[154] +
+ v_[44] * v_[22] + v_[43] * v_[157] + -1 * jac[39] - 5.399998e-05 * v_[163] -
+ -0.0037997814 * (v_[71] - v_[132]);
+ v_[157] = -0.0055615274403 * v_[135] + -0.647967112 * v_[122] + 2.327 * v_[145] + -2.327 * v_[153] +
+ -0.0055615274403 * v_[154] + 0.647967112 * v_[155] + v_[36] * v_[22] + v_[33] * v_[157] -
+ 0.01438086 * (v_[71] + v_[152]);
+ v_[5] = -0.01438086 * v_[135] + 0.647967112 * v_[116] + 2.327 * v_[137] + 2.327 * v_[151] + 0.647967112 * v_[163] +
+ 0.01438086 * v_[154] + -1 * v_[5] - -0.0055615274403 * (v_[71] + v_[132]);
+ jac[36] = v_[0] * (0.0055279857 * v_[75] + 0.039002996 * v_[135] + -0.034462002 * v_[135] + -0.022851627 * v_[39] +
+ jac[38] - 0.0055279857 * v_[102] - -0.002752 * (0 - v_[70])) +
+ v_[9] * (0.08585553 * v_[75] + 0.0055279857 * v_[135] + 0.0055279857 * v_[135] +
+ -0.022851627 * (0 - v_[158]) + v_[12] * v_[142] + v_[13] * v_[136] + v_[18] * v_[157] +
+ v_[19] * v_[5] - 0.012390532 * v_[102] - -0.002752 * v_[39]);
+ jac[37] = -0.002752 * v_[75] + -0.022851627 * v_[135] + -0.002752 * v_[102] + 0.046852534 * v_[39] +
+ v_[13] * v_[142] + v_[28] * v_[136] + v_[52] * v_[157] + v_[25] * v_[5] - -0.022851627 * v_[135] -
+ 0.0055279857 * (v_[70] - v_[158]);
+ v_[5] = v_[12] * v_[82] + (-v_[28]) * x_in[8];
+ v_[157] = v_[13] * v_[82] + v_[13] * x_in[8];
+ v_[136] = v_[18] * v_[82] + (-v_[25]) * x_in[8];
+ v_[142] = v_[19] * v_[82] + v_[52] * x_in[8];
+ v_[158] = v_[24] * v_[25];
+ v_[70] = v_[29] * v_[13] + v_[28] * v_[30];
+ v_[102] = v_[28] * v_[24];
+ v_[39] = -1 * v_[157];
+ v_[135] = v_[33] * v_[13];
+ v_[75] = v_[34] * v_[10] + v_[36] * v_[5] + (-v_[135]) * x_in[9];
+ v_[71] = v_[36] * v_[13];
+ v_[132] = v_[36] * v_[10] + v_[33] * v_[5] + v_[71] * x_in[9];
+ v_[151] = -0.304 * v_[5] + -1 * v_[142];
+ v_[163] = v_[44] * v_[28] + v_[36] * v_[52];
+ v_[154] = v_[33] * v_[136] + v_[43] * v_[157] + v_[163] * x_in[9];
+ v_[137] = -0.304 * v_[13] + -1 * v_[25];
+ v_[116] = -1 * v_[28];
+ v_[22] = v_[47] * v_[137] + v_[71] * v_[49] - (v_[50] * v_[163] + v_[116] * v_[54]);
+ v_[153] = v_[47] * v_[116] + v_[71] * v_[50];
+ v_[152] = v_[50] * v_[116] + v_[116] * v_[50];
+ v_[155] = v_[58] * v_[135] + v_[135] * v_[58];
+ v_[145] = v_[61] * v_[71] + v_[62] * v_[116];
+ v_[122] = v_[61] * v_[39] + v_[60] * v_[75] + (-v_[145]) * x_in[10];
+ v_[76] = v_[60] * v_[71] + v_[61] * v_[116];
+ v_[124] = v_[62] * v_[39] + v_[61] * v_[75] + v_[76] * x_in[10];
+ v_[23] = v_[43] * v_[28] + v_[33] * v_[52];
+ v_[37] = v_[36] * v_[136] + v_[44] * v_[157] + (-v_[23]) * x_in[9];
+ v_[32] = v_[73] * v_[116] + v_[74] * v_[71] + v_[61] * v_[137] + v_[60] * v_[163];
+ v_[108] = v_[67] * v_[39] + v_[68] * v_[75] + v_[69] * v_[151] + v_[61] * v_[37] + v_[32] * x_in[10];
+ v_[4] = v_[77] * v_[23] + v_[76] * v_[78] - (v_[79] * v_[32] + v_[135] * v_[80]);
+ v_[15] = v_[77] * v_[135] + v_[76] * v_[79];
+ v_[113] = v_[79] * v_[135] + v_[135] * v_[79];
+ v_[138] = v_[84] * v_[145] + v_[145] * v_[84];
+ v_[83] = v_[67] * v_[116] + v_[68] * v_[71] + v_[69] * v_[137] + v_[61] * v_[163];
+ v_[93] = v_[87] * v_[23] + v_[86] * v_[83] + v_[91] * v_[76];
+ v_[125] = v_[89] * v_[154] + v_[87] * v_[108] + v_[88] * v_[122] + (-v_[93]) * x_in[11];
+ v_[133] = v_[87] * v_[145] + v_[95] * v_[135];
+ v_[123] = v_[86] * v_[145] + v_[87] * v_[135];
+ v_[11] = v_[94] * v_[133] + v_[123] * v_[98];
+ v_[141] = 0.02075 * v_[135] + -0.184 * v_[145] + v_[32];
+ v_[45] = v_[94] * v_[141] + v_[123] * v_[101];
+ v_[107] = v_[103] * v_[93] + v_[76] * v_[105];
+ v_[31] = 1.547475 * v_[125] + 0.038686875 * v_[122] + 0.038686875 * v_[11] + -1.547475 * (v_[45] - v_[107]);
+ v_[110] = v_[89] * v_[23] + v_[87] * v_[83] + v_[88] * v_[76];
+ v_[147] = v_[103] * v_[76] + v_[76] * v_[103];
+ v_[144] = v_[98] * v_[133] + v_[133] * v_[98];
+ v_[141] = 1.547475 * (v_[98] * v_[141] + v_[133] * v_[101] - (v_[103] * v_[110] + v_[76] * v_[109])) +
+ 1.547475 * (v_[87] * v_[154] + v_[86] * v_[108] + v_[91] * v_[122] + v_[110] * x_in[11]) -
+ 0.038686875 * (v_[147] + v_[144]);
+ v_[148] = v_[95] * v_[132] + v_[87] * v_[124] + (-v_[123]) * x_in[11];
+ v_[35] = v_[87] * v_[132] + v_[86] * v_[124] + v_[133] * x_in[11];
+ v_[126] = v_[94] * v_[76] + v_[123] * v_[103];
+ v_[97] = v_[98] * v_[76] + v_[133] * v_[103];
+ v_[96] = v_[94] * v_[123] + v_[123] * v_[94];
+ jac[47] = 0.009277 * v_[122] + -0.000829 * v_[148] + 1.5e-05 * v_[35] + 0.038686875 * v_[125] + -0.00751 * v_[11] +
+ 0.038686875 * (v_[107] - v_[45]) + -0.000829 * v_[126] - 1.5e-05 * v_[97] - 0.000198 * (v_[144] - v_[96]);
+ v_[107] = v_[84] * v_[135] + v_[145] * v_[79];
+ v_[45] = v_[84] * v_[76] + v_[145] * v_[77];
+ v_[125] = -0.001243 * v_[132] + 0.029115 * v_[122] + -0.001387 * v_[124] + 0.057838 * v_[108] + 0.057838 * v_[4] +
+ -0.001387 * v_[15] + -0.012652 * (v_[113] - v_[138]) + v_[88] * v_[31] + v_[91] * v_[141] + jac[47] -
+ -0.008386 * v_[107] - -0.001243 * v_[45];
+ v_[139] = v_[73] * v_[39] + v_[74] * v_[75] + v_[61] * v_[151] + v_[60] * v_[37] + (-v_[83]) * x_in[10];
+ v_[117] = v_[84] * v_[23] + v_[145] * v_[78] - (v_[79] * v_[83] + v_[135] * v_[104]);
+ v_[3] = 0.02075 * v_[132] + -0.184 * v_[124] + v_[139];
+ v_[110] = v_[94] * v_[110] + v_[123] * v_[109] - (v_[98] * v_[93] + v_[133] * v_[105]);
+ v_[96] = -0.000829 * v_[122] + 0.003227 * v_[148] + 0.000198 * v_[35] + -0.038686875 * v_[3] + 0.000198 * v_[97] +
+ 1.5e-05 * (v_[147] - v_[96]) - 0.038686875 * v_[110] - -0.00146 * v_[126] - -0.000829 * v_[11];
+ v_[97] = 1.5e-05 * v_[122] + 0.000198 * v_[148] + 0.010737 * v_[35] + 0.00605 * v_[97] + 1.5e-05 * v_[11] -
+ 0.000198 * v_[126] - -0.000829 * (v_[147] - v_[144]);
+ v_[110] = 1.547475 * v_[3] + -0.038686875 * v_[148] + 0.038686875 * v_[126] + 1.547475 * v_[110];
+ v_[3] = v_[77] * v_[76] + v_[76] * v_[77];
+ jac[46] = 0.011046 * v_[132] + -0.001243 * v_[122] + -0.012652 * v_[124] + -0.001243 * v_[107] + 0.009683 * v_[45] +
+ v_[95] * v_[96] + v_[87] * v_[97] + 0.02075 * v_[110] - -0.012652 * v_[15] -
+ -0.001387 * (v_[3] - v_[138]);
+ v_[97] = -0.012652 * v_[132] + -0.001387 * v_[122] + 0.019432 * v_[124] + -0.057838 * v_[139] + -0.018069 * v_[15] +
+ 0.057838 * v_[117] + -0.012652 * v_[45] + v_[87] * v_[96] + v_[86] * v_[97] + -0.184 * v_[110] -
+ -0.001387 * v_[107] - -0.001243 * (v_[113] - v_[3]);
+ v_[110] = 2.1032 * v_[139] + -0.057838 * v_[124] + 0.057838 * v_[15] + -2.1032 * v_[117] + v_[110];
+ v_[107] = 2.1032 * v_[108] + 0.057838 * v_[122] + 0.057838 * v_[107] + 2.1032 * v_[4] + v_[87] * v_[31] +
+ v_[86] * v_[141];
+ v_[163] = v_[58] * v_[163] + v_[135] * v_[54] - (v_[47] * v_[23] + v_[71] * v_[78]);
+ v_[4] = v_[58] * v_[116] + v_[135] * v_[50];
+ v_[108] = v_[58] * v_[71] + v_[135] * v_[47];
+ v_[122] = -0.0022920002 * v_[39] + 0.01828449 * v_[75] + 0.0036857284 * v_[132] + -0.160298259823722 * v_[151] +
+ 1.52322944854339e-09 * v_[154] + 1.52322944854339e-09 * v_[22] + 0.0036857284 * v_[153] +
+ -0.00021200017 * (v_[152] - v_[155]) + v_[60] * v_[125] + v_[61] * v_[97] + v_[74] * v_[110] +
+ v_[68] * v_[107] - 0.160298259823722 * v_[163] - 0.01404749 * v_[4] - -0.0022920002 * v_[108];
+ v_[137] = v_[58] * v_[137] + v_[135] * v_[49];
+ v_[23] = v_[50] * v_[23] + v_[116] * v_[78];
+ v_[71] = v_[47] * v_[71] + v_[71] * v_[47];
+ jac[45] = 0.09570849 * v_[39] + -0.0022920002 * v_[75] + -0.00021200017 * v_[132] + 0.160298259823722 * v_[37] +
+ 0.008711861 * v_[154] + 0.160298259823722 * (v_[23] - v_[137]) + -0.06337651 * v_[108] +
+ -0.0022920002 * v_[4] + v_[61] * v_[125] + v_[62] * v_[97] + v_[73] * v_[110] + v_[67] * v_[107] -
+ -0.008711861 * v_[22] - -0.00021200017 * v_[153] - 0.0036857284 * (v_[71] - v_[155]);
+ v_[97] = -0.00021200017 * v_[39] + 0.0036857284 * v_[75] + 0.081661 * v_[132] + -0.008711861 * v_[151] +
+ -1.52322944854339e-09 * v_[37] + -0.008711861 * v_[163] + 1.52322944854339e-09 * (v_[137] - v_[23]) +
+ 0.077424 * v_[153] + -0.00021200017 * v_[108] + jac[46] - 0.0036857284 * v_[4] -
+ -0.0022920002 * (v_[152] - v_[71]);
+ v_[125] = -v_[24] * v_[52];
+ v_[116] = v_[13] * v_[24];
+ v_[135] = v_[30] * v_[13] + v_[13] * v_[30];
+ v_[117] = v_[29] * v_[28] + v_[28] * v_[29];
+ jac[44] = 0.010329999 * v_[10] + -0.0037997814 * v_[5] + -0.011715295 * v_[157] + -0.0055615274403 * v_[136] +
+ -0.01438086 * v_[142] + -0.0055615274403 * v_[158] + 0.00750500000000001 * v_[70] +
+ -0.0037997814 * v_[102] + v_[34] * v_[122] + v_[36] * v_[97] - 0.01438086 * v_[125] -
+ -0.011715295 * v_[116] - 5.399998e-05 * (v_[135] - v_[117]);
+ v_[139] = x_in[7] + x_in[7];
+ v_[163] = -0.160298259823722 * v_[75] + -0.008711861 * v_[132] + 1.7423722 * v_[151] + 1.7423722 * v_[163] +
+ 0.160298259823722 * v_[4] + -0.008711861 * v_[153] + v_[61] * v_[110] + v_[69] * v_[107] -
+ 1.52322944854339e-09 * (v_[71] + v_[155]);
+ v_[151] = v_[29] * v_[52] + v_[28] * v_[53] - (v_[30] * v_[25] + v_[13] * v_[26]);
+ v_[97] = -0.0037997814 * v_[10] + 0.20986895 * v_[5] + 5.399998e-05 * v_[157] + 0.647967112 * v_[142] +
+ 0.647967112 * v_[125] + 5.399998e-05 * v_[116] + -0.011715295 * (0 - v_[117]) + v_[36] * v_[122] +
+ v_[33] * v_[97] + -0.304 * v_[163] - -0.0055615274403 * v_[151] - -0.192033951 * v_[102] -
+ -0.0037997814 * v_[70];
+ v_[158] = -v_[158];
+ v_[23] = 0.160298259823722 * v_[39] + -1.52322944854339e-09 * v_[132] + 1.7423722 * v_[37] +
+ -1.7423722 * (v_[137] - v_[23]) + 0.160298259823722 * v_[108] + 1.52322944854339e-09 * v_[153] +
+ v_[60] * v_[110] + v_[61] * v_[107] - -0.008711861 * (v_[152] + v_[155]);
+ v_[71] = 0.008711861 * v_[39] + 1.52322944854339e-09 * v_[75] + 1.7423722 * v_[154] + 1.7423722 * v_[22] +
+ 1.52322944854339e-09 * v_[4] + -0.008711861 * v_[108] +
+ 2.1032 * (v_[84] * v_[32] + v_[145] * v_[80] - (v_[77] * v_[83] + v_[76] * v_[104])) + 2.1032 * v_[154] +
+ v_[89] * v_[31] + v_[87] * v_[141] - 0.160298259823722 * (v_[152] + v_[71]) - 0.057838 * (v_[3] + v_[138]);
+ v_[151] = -0.011715295 * v_[10] + 5.399998e-05 * v_[5] + 0.20236395 * v_[157] + -0.647967112 * v_[136] +
+ 0.01438086 * v_[151] + 0.647967112 * v_[158] + -0.199538951 * v_[116] + -0.011715295 * v_[70] +
+ v_[44] * v_[23] + v_[43] * v_[71] + -1 * jac[45] - 5.399998e-05 * v_[102] - -0.0037997814 * (0 - v_[135]);
+ v_[71] = -0.0055615274403 * v_[10] + -0.647967112 * v_[157] + 2.327 * v_[136] + -2.327 * v_[158] +
+ -0.0055615274403 * v_[70] + 0.647967112 * v_[116] + v_[36] * v_[23] + v_[33] * v_[71] -
+ 0.01438086 * v_[117];
+ v_[163] = -0.01438086 * v_[10] + 0.647967112 * v_[5] + 2.327 * v_[142] + 2.327 * v_[125] + 0.647967112 * v_[102] +
+ 0.01438086 * v_[70] + -1 * v_[163] - -0.0055615274403 * v_[135];
+ jac[42] =
+ v_[0] * (0.0055279857 * v_[82] + 0.039002996 * v_[10] + -0.034462002 * v_[10] + jac[44] - 0.0055279857 * v_[8] -
+ -0.002752 * v_[139]) +
+ v_[9] * (0.08585553 * v_[82] + 0.0055279857 * v_[10] + 0.0055279857 * v_[10] + -0.022851627 * v_[139] +
+ v_[12] * v_[97] + v_[13] * v_[151] + v_[18] * v_[71] + v_[19] * v_[163] - 0.012390532 * v_[8]);
+ jac[43] = -0.002752 * v_[82] + -0.022851627 * v_[10] + -0.002752 * v_[8] + v_[13] * v_[97] + v_[28] * v_[151] +
+ v_[52] * v_[71] + v_[25] * v_[163] - -0.022851627 * v_[10];
+ v_[163] = -1 * v_[30];
+ v_[71] = v_[36] * v_[114] + (-v_[36]) * x_in[9];
+ v_[151] = v_[33] * v_[114] + v_[34] * x_in[9];
+ v_[97] = -0.304 * v_[114] + -1 * v_[53];
+ v_[82] = v_[33] * v_[111] + v_[43] * v_[30];
+ v_[10] = v_[34] * v_[49];
+ v_[8] = v_[34] * v_[50];
+ v_[139] = v_[58] * v_[36] + v_[36] * v_[58];
+ v_[135] = v_[61] * v_[34];
+ v_[125] = v_[61] * v_[163] + v_[60] * v_[71] + (-v_[135]) * x_in[10];
+ v_[102] = v_[60] * v_[34];
+ v_[70] = v_[62] * v_[163] + v_[61] * v_[71] + v_[102] * x_in[10];
+ v_[142] = v_[36] * v_[111] + v_[44] * v_[30];
+ v_[5] = v_[74] * v_[34];
+ v_[23] = v_[67] * v_[163] + v_[68] * v_[71] + v_[69] * v_[97] + v_[61] * v_[142] + v_[5] * x_in[10];
+ v_[158] = v_[102] * v_[78] - (v_[79] * v_[5] + v_[36] * v_[80]);
+ v_[117] = v_[77] * v_[36] + v_[102] * v_[79];
+ v_[116] = v_[79] * v_[36] + v_[36] * v_[79];
+ v_[136] = v_[84] * v_[135] + v_[135] * v_[84];
+ v_[157] = v_[68] * v_[34];
+ v_[108] = v_[86] * v_[157] + v_[91] * v_[102];
+ v_[4] = v_[89] * v_[82] + v_[87] * v_[23] + v_[88] * v_[125] + (-v_[108]) * x_in[11];
+ v_[3] = v_[87] * v_[135] + v_[95] * v_[36];
+ v_[141] = v_[86] * v_[135] + v_[87] * v_[36];
+ v_[31] = v_[94] * v_[3] + v_[141] * v_[98];
+ v_[83] = 0.02075 * v_[36] + -0.184 * v_[135] + v_[5];
+ v_[138] = v_[94] * v_[83] + v_[141] * v_[101];
+ v_[32] = v_[103] * v_[108] + v_[102] * v_[105];
+ v_[76] = 1.547475 * v_[4] + 0.038686875 * v_[125] + 0.038686875 * v_[31] + -1.547475 * (v_[138] - v_[32]);
+ v_[145] = v_[87] * v_[157] + v_[88] * v_[102];
+ v_[152] = v_[103] * v_[102] + v_[102] * v_[103];
+ v_[22] = v_[98] * v_[3] + v_[3] * v_[98];
+ v_[83] = 1.547475 * (v_[98] * v_[83] + v_[3] * v_[101] - (v_[103] * v_[145] + v_[102] * v_[109])) +
+ 1.547475 * (v_[87] * v_[82] + v_[86] * v_[23] + v_[91] * v_[125] + v_[145] * x_in[11]) -
+ 0.038686875 * (v_[152] + v_[22]);
+ v_[154] = v_[95] * v_[151] + v_[87] * v_[70] + (-v_[141]) * x_in[11];
+ v_[75] = v_[87] * v_[151] + v_[86] * v_[70] + v_[3] * x_in[11];
+ v_[39] = v_[94] * v_[102] + v_[141] * v_[103];
+ v_[137] = v_[98] * v_[102] + v_[3] * v_[103];
+ v_[107] = v_[94] * v_[141] + v_[141] * v_[94];
+ jac[53] = 0.009277 * v_[125] + -0.000829 * v_[154] + 1.5e-05 * v_[75] + 0.038686875 * v_[4] + -0.00751 * v_[31] +
+ 0.038686875 * (v_[32] - v_[138]) + -0.000829 * v_[39] - 1.5e-05 * v_[137] - 0.000198 * (v_[22] - v_[107]);
+ v_[32] = v_[84] * v_[36] + v_[135] * v_[79];
+ v_[138] = v_[84] * v_[102] + v_[135] * v_[77];
+ v_[4] = -0.001243 * v_[151] + 0.029115 * v_[125] + -0.001387 * v_[70] + 0.057838 * v_[23] + 0.057838 * v_[158] +
+ -0.001387 * v_[117] + -0.012652 * (v_[116] - v_[136]) + v_[88] * v_[76] + v_[91] * v_[83] + jac[53] -
+ -0.008386 * v_[32] - -0.001243 * v_[138];
+ v_[110] = v_[73] * v_[163] + v_[74] * v_[71] + v_[61] * v_[97] + v_[60] * v_[142] + (-v_[157]) * x_in[10];
+ v_[37] = v_[135] * v_[78] - (v_[79] * v_[157] + v_[36] * v_[104]);
+ v_[155] = 0.02075 * v_[151] + -0.184 * v_[70] + v_[110];
+ v_[145] = v_[94] * v_[145] + v_[141] * v_[109] - (v_[98] * v_[108] + v_[3] * v_[105]);
+ v_[107] = -0.000829 * v_[125] + 0.003227 * v_[154] + 0.000198 * v_[75] + -0.038686875 * v_[155] +
+ 0.000198 * v_[137] + 1.5e-05 * (v_[152] - v_[107]) - 0.038686875 * v_[145] - -0.00146 * v_[39] -
+ -0.000829 * v_[31];
+ v_[137] = 1.5e-05 * v_[125] + 0.000198 * v_[154] + 0.010737 * v_[75] + 0.00605 * v_[137] + 1.5e-05 * v_[31] -
+ 0.000198 * v_[39] - -0.000829 * (v_[152] - v_[22]);
+ v_[145] = 1.547475 * v_[155] + -0.038686875 * v_[154] + 0.038686875 * v_[39] + 1.547475 * v_[145];
+ v_[155] = v_[77] * v_[102] + v_[102] * v_[77];
+ jac[52] = 0.011046 * v_[151] + -0.001243 * v_[125] + -0.012652 * v_[70] + -0.001243 * v_[32] + 0.009683 * v_[138] +
+ v_[95] * v_[107] + v_[87] * v_[137] + 0.02075 * v_[145] - -0.012652 * v_[117] -
+ -0.001387 * (v_[155] - v_[136]);
+ v_[137] = -0.012652 * v_[151] + -0.001387 * v_[125] + 0.019432 * v_[70] + -0.057838 * v_[110] +
+ -0.018069 * v_[117] + 0.057838 * v_[37] + -0.012652 * v_[138] + v_[87] * v_[107] + v_[86] * v_[137] +
+ -0.184 * v_[145] - -0.001387 * v_[32] - -0.001243 * (v_[116] - v_[155]);
+ v_[145] = 2.1032 * v_[110] + -0.057838 * v_[70] + 0.057838 * v_[117] + -2.1032 * v_[37] + v_[145];
+ v_[32] =
+ 2.1032 * v_[23] + 0.057838 * v_[125] + 0.057838 * v_[32] + 2.1032 * v_[158] + v_[87] * v_[76] + v_[86] * v_[83];
+ v_[158] = v_[36] * v_[54] - v_[34] * v_[78];
+ v_[23] = v_[36] * v_[50];
+ v_[125] = v_[58] * v_[34] + v_[36] * v_[47];
+ v_[37] = -0.0022920002 * v_[163] + 0.01828449 * v_[71] + 0.0036857284 * v_[151] + -0.160298259823722 * v_[97] +
+ 1.52322944854339e-09 * v_[82] + 1.52322944854339e-09 * v_[10] + 0.0036857284 * v_[8] +
+ -0.00021200017 * (0 - v_[139]) + v_[60] * v_[4] + v_[61] * v_[137] + v_[74] * v_[145] + v_[68] * v_[32] -
+ 0.160298259823722 * v_[158] - 0.01404749 * v_[23] - -0.0022920002 * v_[125];
+ v_[49] = v_[36] * v_[49];
+ v_[110] = v_[47] * v_[34] + v_[34] * v_[47];
+ jac[51] = 0.09570849 * v_[163] + -0.0022920002 * v_[71] + -0.00021200017 * v_[151] + 0.160298259823722 * v_[142] +
+ 0.008711861 * v_[82] + 0.160298259823722 * (0 - v_[49]) + -0.06337651 * v_[125] + -0.0022920002 * v_[23] +
+ v_[61] * v_[4] + v_[62] * v_[137] + v_[73] * v_[145] + v_[67] * v_[32] - -0.008711861 * v_[10] -
+ -0.00021200017 * v_[8] - 0.0036857284 * (v_[110] - v_[139]);
+ v_[137] = -0.00021200017 * v_[163] + 0.0036857284 * v_[71] + 0.081661 * v_[151] + -0.008711861 * v_[97] +
+ -1.52322944854339e-09 * v_[142] + -0.008711861 * v_[158] + 1.52322944854339e-09 * v_[49] +
+ 0.077424 * v_[8] + -0.00021200017 * v_[125] + jac[52] - 0.0036857284 * v_[23] -
+ -0.0022920002 * (0 - v_[110]);
+ v_[4] = -v_[53];
+ jac[50] = -0.0037997814 * v_[114] + -0.011715295 * v_[30] + -0.0055615274403 * v_[111] + -0.01438086 * v_[53] +
+ -0.0055615274403 * v_[26] + -0.0037997814 * v_[29] + v_[34] * v_[37] + v_[36] * v_[137] -
+ 0.01438086 * v_[4] - -0.011715295 * v_[30];
+ v_[24] = v_[24] + v_[24];
+ v_[158] = -0.160298259823722 * v_[71] + -0.008711861 * v_[151] + 1.7423722 * v_[97] + 1.7423722 * v_[158] +
+ 0.160298259823722 * v_[23] + -0.008711861 * v_[8] + v_[61] * v_[145] + v_[69] * v_[32] -
+ 1.52322944854339e-09 * (v_[110] + v_[139]);
+ v_[137] = 0.20986895 * v_[114] + 5.399998e-05 * v_[30] + 0.647967112 * v_[53] + 0.647967112 * v_[4] +
+ 5.399998e-05 * v_[30] + -0.011715295 * v_[24] + v_[36] * v_[37] + v_[33] * v_[137] + -0.304 * v_[158] -
+ -0.192033951 * v_[29];
+ v_[26] = -v_[26];
+ v_[49] = 0.160298259823722 * v_[163] + -1.52322944854339e-09 * v_[151] + 1.7423722 * v_[142] + -1.7423722 * v_[49] +
+ 0.160298259823722 * v_[125] + 1.52322944854339e-09 * v_[8] + v_[60] * v_[145] + v_[61] * v_[32] -
+ -0.008711861 * v_[139];
+ v_[110] = 0.008711861 * v_[163] + 1.52322944854339e-09 * v_[71] + 1.7423722 * v_[82] + 1.7423722 * v_[10] +
+ 1.52322944854339e-09 * v_[23] + -0.008711861 * v_[125] +
+ 2.1032 * (v_[84] * v_[5] + v_[135] * v_[80] - (v_[77] * v_[157] + v_[102] * v_[104])) + 2.1032 * v_[82] +
+ v_[89] * v_[76] + v_[87] * v_[83] - 0.160298259823722 * v_[110] - 0.057838 * (v_[155] + v_[136]);
+ v_[125] = 5.399998e-05 * v_[114] + 0.20236395 * v_[30] + -0.647967112 * v_[111] + 0.647967112 * v_[26] +
+ -0.199538951 * v_[30] + v_[44] * v_[49] + v_[43] * v_[110] + -1 * jac[51] - 5.399998e-05 * v_[29] -
+ -0.0037997814 * v_[24];
+ v_[110] = -0.647967112 * v_[30] + 2.327 * v_[111] + -2.327 * v_[26] + 0.647967112 * v_[30] + v_[36] * v_[49] +
+ v_[33] * v_[110] - 0.01438086 * v_[24];
+ v_[158] = 0.647967112 * v_[114] + 2.327 * v_[53] + 2.327 * v_[4] + 0.647967112 * v_[29] + -1 * v_[158] -
+ -0.0055615274403 * v_[24];
+ jac[48] = v_[0] * jac[50] + v_[9] * (v_[12] * v_[137] + v_[13] * v_[125] + v_[18] * v_[110] + v_[19] * v_[158]);
+ jac[49] = v_[13] * v_[137] + v_[28] * v_[125] + v_[52] * v_[110] + v_[25] * v_[158];
+ v_[158] = 0 - v_[54];
+ v_[50] = v_[50] + v_[50];
+ v_[110] = v_[60] * v_[121] + (-v_[62]) * x_in[10];
+ v_[125] = v_[61] * v_[121] + v_[61] * x_in[10];
+ v_[137] = v_[68] * v_[121] + v_[61] * v_[134] + v_[73] * x_in[10];
+ v_[24] = v_[61] * v_[78] - v_[79] * v_[73];
+ v_[4] = v_[61] * v_[79];
+ v_[114] = v_[84] * v_[62] + v_[62] * v_[84];
+ v_[53] = v_[86] * v_[67] + v_[91] * v_[61];
+ v_[29] = v_[89] * v_[54] + v_[87] * v_[137] + v_[88] * v_[110] + (-v_[53]) * x_in[11];
+ v_[49] = v_[87] * v_[62];
+ v_[26] = v_[86] * v_[62];
+ v_[111] = v_[94] * v_[49] + v_[26] * v_[98];
+ v_[30] = -0.184 * v_[62] + v_[73];
+ v_[23] = v_[94] * v_[30] + v_[26] * v_[101];
+ v_[155] = v_[103] * v_[53] + v_[61] * v_[105];
+ v_[83] = 1.547475 * v_[29] + 0.038686875 * v_[110] + 0.038686875 * v_[111] + -1.547475 * (v_[23] - v_[155]);
+ v_[76] = v_[87] * v_[67] + v_[88] * v_[61];
+ v_[157] = v_[103] * v_[61] + v_[61] * v_[103];
+ v_[136] = v_[98] * v_[49] + v_[49] * v_[98];
+ v_[30] = 1.547475 * (v_[98] * v_[30] + v_[49] * v_[101] - (v_[103] * v_[76] + v_[61] * v_[109])) +
+ 1.547475 * (v_[87] * v_[54] + v_[86] * v_[137] + v_[91] * v_[110] + v_[76] * x_in[11]) -
+ 0.038686875 * (v_[157] + v_[136]);
+ v_[5] = v_[95] * v_[47] + v_[87] * v_[125] + (-v_[26]) * x_in[11];
+ v_[102] = v_[87] * v_[47] + v_[86] * v_[125] + v_[49] * x_in[11];
+ v_[135] = v_[94] * v_[61] + v_[26] * v_[103];
+ v_[10] = v_[98] * v_[61] + v_[49] * v_[103];
+ v_[82] = v_[94] * v_[26] + v_[26] * v_[94];
+ jac[59] = 0.009277 * v_[110] + -0.000829 * v_[5] + 1.5e-05 * v_[102] + 0.038686875 * v_[29] + -0.00751 * v_[111] +
+ 0.038686875 * (v_[155] - v_[23]) + -0.000829 * v_[135] - 1.5e-05 * v_[10] - 0.000198 * (v_[136] - v_[82]);
+ v_[155] = v_[62] * v_[79];
+ v_[23] = v_[84] * v_[61] + v_[62] * v_[77];
+ v_[29] = -0.001243 * v_[47] + 0.029115 * v_[110] + -0.001387 * v_[125] + 0.057838 * v_[137] + 0.057838 * v_[24] +
+ -0.001387 * v_[4] + -0.012652 * (0 - v_[114]) + v_[88] * v_[83] + v_[91] * v_[30] + jac[59] -
+ -0.008386 * v_[155] - -0.001243 * v_[23];
+ v_[71] = v_[74] * v_[121] + v_[60] * v_[134] + (-v_[67]) * x_in[10];
+ v_[163] = v_[62] * v_[78] - v_[79] * v_[67];
+ v_[32] = 0.02075 * v_[47] + -0.184 * v_[125] + v_[71];
+ v_[76] = v_[94] * v_[76] + v_[26] * v_[109] - (v_[98] * v_[53] + v_[49] * v_[105]);
+ v_[82] = -0.000829 * v_[110] + 0.003227 * v_[5] + 0.000198 * v_[102] + -0.038686875 * v_[32] + 0.000198 * v_[10] +
+ 1.5e-05 * (v_[157] - v_[82]) - 0.038686875 * v_[76] - -0.00146 * v_[135] - -0.000829 * v_[111];
+ v_[10] = 1.5e-05 * v_[110] + 0.000198 * v_[5] + 0.010737 * v_[102] + 0.00605 * v_[10] + 1.5e-05 * v_[111] -
+ 0.000198 * v_[135] - -0.000829 * (v_[157] - v_[136]);
+ v_[76] = 1.547475 * v_[32] + -0.038686875 * v_[5] + 0.038686875 * v_[135] + 1.547475 * v_[76];
+ v_[32] = v_[77] * v_[61] + v_[61] * v_[77];
+ jac[58] = 0.011046 * v_[47] + -0.001243 * v_[110] + -0.012652 * v_[125] + -0.001243 * v_[155] + 0.009683 * v_[23] +
+ v_[95] * v_[82] + v_[87] * v_[10] + 0.02075 * v_[76] - -0.012652 * v_[4] - -0.001387 * (v_[32] - v_[114]);
+ v_[10] = -0.012652 * v_[47] + -0.001387 * v_[110] + 0.019432 * v_[125] + -0.057838 * v_[71] + -0.018069 * v_[4] +
+ 0.057838 * v_[163] + -0.012652 * v_[23] + v_[87] * v_[82] + v_[86] * v_[10] + -0.184 * v_[76] -
+ -0.001387 * v_[155] - -0.001243 * (0 - v_[32]);
+ v_[76] = 2.1032 * v_[71] + -0.057838 * v_[125] + 0.057838 * v_[4] + -2.1032 * v_[163] + v_[76];
+ v_[155] = 2.1032 * v_[137] + 0.057838 * v_[110] + 0.057838 * v_[155] + 2.1032 * v_[24] + v_[87] * v_[83] +
+ v_[86] * v_[30];
+ jac[57] = -0.0022920002 * v_[121] + -0.00021200017 * v_[47] + 0.160298259823722 * v_[134] + 0.008711861 * v_[54] +
+ 0.160298259823722 * v_[78] + -0.0022920002 * v_[58] + v_[61] * v_[29] + v_[62] * v_[10] +
+ v_[73] * v_[76] + v_[67] * v_[155] - -0.008711861 * v_[158] - -0.00021200017 * v_[47];
+ v_[10] = 0.01828449 * v_[121] + 0.0036857284 * v_[47] + 1.52322944854339e-09 * v_[54] +
+ 1.52322944854339e-09 * v_[158] + 0.0036857284 * v_[47] + -0.00021200017 * v_[50] + v_[60] * v_[29] +
+ v_[61] * v_[10] + v_[74] * v_[76] + v_[68] * v_[155] - 0.01404749 * v_[58];
+ v_[29] = 0.0036857284 * v_[121] + 0.081661 * v_[47] + -1.52322944854339e-09 * v_[134] +
+ 1.52322944854339e-09 * (0 - v_[78]) + 0.077424 * v_[47] + jac[58] - 0.0036857284 * v_[58] -
+ -0.0022920002 * v_[50];
+ jac[56] = v_[34] * v_[10] + v_[36] * v_[29];
+ v_[24] = -0.160298259823722 * v_[121] + -0.008711861 * v_[47] + 0.160298259823722 * v_[58] + -0.008711861 * v_[47] +
+ v_[61] * v_[76] + v_[69] * v_[155];
+ v_[29] = v_[36] * v_[10] + v_[33] * v_[29] + -0.304 * v_[24];
+ v_[155] = -1.52322944854339e-09 * v_[47] + 1.7423722 * v_[134] + -1.7423722 * (0 - v_[78]) +
+ 1.52322944854339e-09 * v_[47] + v_[60] * v_[76] + v_[61] * v_[155] - -0.008711861 * v_[50];
+ v_[32] = 1.52322944854339e-09 * v_[121] + 1.7423722 * v_[54] + 1.7423722 * v_[158] + 1.52322944854339e-09 * v_[58] +
+ 2.1032 * (v_[84] * v_[73] + v_[62] * v_[80] - (v_[77] * v_[67] + v_[61] * v_[104])) + 2.1032 * v_[54] +
+ v_[89] * v_[83] + v_[87] * v_[30] - 0.160298259823722 * v_[50] - 0.057838 * (v_[32] + v_[114]);
+ v_[30] = v_[44] * v_[155] + v_[43] * v_[32] + -1 * jac[57];
+ v_[32] = v_[36] * v_[155] + v_[33] * v_[32];
+ v_[24] = -1 * v_[24];
+ jac[54] = v_[0] * jac[56] + v_[9] * (v_[12] * v_[29] + v_[13] * v_[30] + v_[18] * v_[32] + v_[19] * v_[24]);
+ jac[55] = v_[13] * v_[29] + v_[28] * v_[30] + v_[52] * v_[32] + v_[25] * v_[24];
+ v_[24] = 0 - v_[80];
+ v_[79] = v_[79] + v_[79];
+ v_[32] = v_[87] * v_[80] + v_[88] * v_[131];
+ v_[30] = v_[94] * v_[95] + v_[87] * v_[98];
+ v_[29] = v_[94] * 0.02075 + v_[87] * v_[101];
+ v_[155] = 1.547475 * v_[32] + 0.038686875 * v_[131] + 0.038686875 * v_[30] + -1.547475 * v_[29];
+ v_[83] = v_[98] * v_[95] + v_[95] * v_[98];
+ v_[101] = 1.547475 * (v_[98] * 0.02075 + v_[95] * v_[101]) + 1.547475 * (v_[86] * v_[80] + v_[91] * v_[131]) -
+ 0.038686875 * v_[83];
+ v_[114] = v_[87] * v_[77] + (-v_[87]) * x_in[11];
+ v_[50] = v_[86] * v_[77] + v_[95] * x_in[11];
+ v_[158] = v_[87] * v_[103];
+ v_[121] = v_[95] * v_[103];
+ v_[58] = v_[94] * v_[87] + v_[87] * v_[94];
+ jac[65] = 0.009277 * v_[131] + -0.000829 * v_[114] + 1.5e-05 * v_[50] + 0.038686875 * v_[32] + -0.00751 * v_[30] +
+ 0.038686875 * (0 - v_[29]) + -0.000829 * v_[158] - 1.5e-05 * v_[121] - 0.000198 * (v_[83] - v_[58]);
+ v_[29] = 0.029115 * v_[131] + -0.001387 * v_[77] + 0.057838 * v_[80] + 0.057838 * v_[24] + -0.001387 * v_[77] +
+ -0.012652 * v_[79] + v_[88] * v_[155] + v_[91] * v_[101] + jac[65] - -0.008386 * v_[84];
+ v_[104] = 0 - v_[104];
+ v_[32] = -0.184 * v_[77] + v_[143];
+ v_[54] = v_[87] * v_[109] - v_[95] * v_[105];
+ v_[58] = -0.000829 * v_[131] + 0.003227 * v_[114] + 0.000198 * v_[50] + -0.038686875 * v_[32] + 0.000198 * v_[121] +
+ 1.5e-05 * (0 - v_[58]) - 0.038686875 * v_[54] - -0.00146 * v_[158] - -0.000829 * v_[30];
+ v_[121] = 1.5e-05 * v_[131] + 0.000198 * v_[114] + 0.010737 * v_[50] + 0.00605 * v_[121] + 1.5e-05 * v_[30] -
+ 0.000198 * v_[158] - -0.000829 * (0 - v_[83]);
+ v_[54] = 1.547475 * v_[32] + -0.038686875 * v_[114] + 0.038686875 * v_[158] + 1.547475 * v_[54];
+ jac[64] = -0.001243 * v_[131] + -0.012652 * v_[77] + -0.001243 * v_[84] + v_[95] * v_[58] + v_[87] * v_[121] +
+ 0.02075 * v_[54] - -0.012652 * v_[77];
+ v_[121] = -0.001387 * v_[131] + 0.019432 * v_[77] + -0.057838 * v_[143] + -0.018069 * v_[77] + 0.057838 * v_[104] +
+ v_[87] * v_[58] + v_[86] * v_[121] + -0.184 * v_[54] - -0.001387 * v_[84] - -0.001243 * v_[79];
+ v_[54] = 2.1032 * v_[143] + -0.057838 * v_[77] + 0.057838 * v_[77] + -2.1032 * v_[104] + v_[54];
+ v_[24] = 2.1032 * v_[80] + 0.057838 * v_[131] + 0.057838 * v_[84] + 2.1032 * v_[24] + v_[87] * v_[155] +
+ v_[86] * v_[101];
+ jac[63] = v_[61] * v_[29] + v_[62] * v_[121] + v_[73] * v_[54] + v_[67] * v_[24];
+ v_[121] = v_[60] * v_[29] + v_[61] * v_[121] + v_[74] * v_[54] + v_[68] * v_[24];
+ jac[62] = v_[34] * v_[121] + v_[36] * jac[64];
+ v_[29] = v_[61] * v_[54] + v_[69] * v_[24];
+ v_[121] = v_[36] * v_[121] + v_[33] * jac[64] + -0.304 * v_[29];
+ v_[24] = v_[60] * v_[54] + v_[61] * v_[24];
+ v_[101] = v_[89] * v_[155] + v_[87] * v_[101];
+ v_[155] = v_[44] * v_[24] + v_[43] * v_[101] + -1 * jac[63];
+ v_[101] = v_[36] * v_[24] + v_[33] * v_[101];
+ v_[29] = -1 * v_[29];
+ jac[60] = v_[0] * jac[62] + v_[9] * (v_[12] * v_[121] + v_[13] * v_[155] + v_[18] * v_[101] + v_[19] * v_[29]);
+ jac[61] = v_[13] * v_[121] + v_[28] * v_[155] + v_[52] * v_[101] + v_[25] * v_[29];
+ v_[140] = 1.547475 * v_[140] + -1.547475 * (0 - v_[105]);
+ v_[103] = v_[103] + v_[103];
+ v_[109] = 1.547475 * (0 - v_[109]) + 1.547475 * v_[109] - 0.038686875 * v_[103];
+ v_[91] = v_[88] * v_[140] + v_[91] * v_[109] + jac[71];
+ v_[88] = 0.003227 * v_[149] + 0.000198 * v_[98] + 0.000198 * v_[98] + 1.5e-05 * v_[103] - -0.00146 * v_[94];
+ v_[103] = 0.000198 * v_[149] + 0.010737 * v_[98] + 0.00605 * v_[98] - 0.000198 * v_[94] - -0.000829 * v_[103];
+ v_[149] = -0.038686875 * v_[149] + 0.038686875 * v_[94];
+ jac[70] = v_[95] * v_[88] + v_[87] * v_[103] + 0.02075 * v_[149];
+ v_[103] = v_[87] * v_[88] + v_[86] * v_[103] + -0.184 * v_[149];
+ v_[86] = v_[87] * v_[140] + v_[86] * v_[109];
+ jac[69] = v_[61] * v_[91] + v_[62] * v_[103] + v_[73] * v_[149] + v_[67] * v_[86];
+ v_[103] = v_[60] * v_[91] + v_[61] * v_[103] + v_[74] * v_[149] + v_[68] * v_[86];
+ jac[68] = v_[34] * v_[103] + v_[36] * jac[70];
+ v_[69] = v_[61] * v_[149] + v_[69] * v_[86];
+ v_[103] = v_[36] * v_[103] + v_[33] * jac[70] + -0.304 * v_[69];
+ v_[86] = v_[60] * v_[149] + v_[61] * v_[86];
+ v_[109] = v_[89] * v_[140] + v_[87] * v_[109];
+ v_[44] = v_[44] * v_[86] + v_[43] * v_[109] + -1 * jac[69];
+ v_[109] = v_[36] * v_[86] + v_[33] * v_[109];
+ v_[69] = -1 * v_[69];
+ jac[66] = v_[0] * jac[68] + v_[9] * (v_[12] * v_[103] + v_[13] * v_[44] + v_[18] * v_[109] + v_[19] * v_[69]);
+ jac[67] = v_[13] * v_[103] + v_[28] * v_[44] + v_[52] * v_[109] + v_[25] * v_[69];
+
+
+ return jac_;
+}
+} // namespace HyA
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacForward.h b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacForward.h
new file mode 100644
index 0000000..9a64478
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacForward.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+class HyAInverseDynJacForward : public core::Derivatives<12, 6, double>
+{
+public:
+ typedef Eigen::Matrix<double, 6, 12> JAC_TYPE;
+ typedef Eigen::Matrix<double, 12, 1> X_TYPE;
+
+ HyAInverseDynJacForward()
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyAInverseDynJacForward(const HyAInverseDynJacForward& other)
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyAInverseDynJacForward(){};
+
+ HyAInverseDynJacForward* clone() const override { return new HyAInverseDynJacForward(*this); }
+ JAC_TYPE jacobian(const Eigen::VectorXd& x_in) override;
+
+private:
+ JAC_TYPE jac_;
+ std::array<double, 164> v_;
+};
+
+} /* namespace HyA */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacReverse.cpp b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacReverse.cpp
new file mode 100644
index 0000000..26e4b17
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacReverse.cpp
@@ -0,0 +1,1141 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyAInverseDynJacReverse.h"
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+
+HyAInverseDynJacReverse::JAC_TYPE HyAInverseDynJacReverse::jacobian(const Eigen::VectorXd& x_in)
+{
+ double* jac = jac_.data();
+
+ v_[0] = sin(x_in[1]);
+ v_[1] = v_[0] * x_in[6];
+ v_[2] = 0 - v_[1];
+ v_[3] = v_[2] * x_in[7];
+ v_[4] = cos(x_in[1]);
+ v_[5] = v_[4] * x_in[6];
+ v_[6] = v_[5] * x_in[7];
+ v_[7] = 9.81 * v_[0];
+ v_[8] = x_in[7] * x_in[7];
+ v_[9] = cos(x_in[2]);
+ v_[10] = sin(x_in[2]);
+ v_[11] = 0 - v_[9];
+ v_[12] = v_[10] * v_[5] + v_[11] * x_in[7];
+ v_[13] = 0 - v_[12];
+ v_[14] = v_[9] * v_[3] + v_[13] * x_in[8];
+ v_[15] = v_[9] * v_[5] + v_[10] * x_in[7];
+ v_[16] = v_[10] * v_[3] + v_[15] * x_in[8];
+ v_[17] = 9.81 * v_[4];
+ v_[18] = 0.112 * v_[9];
+ v_[19] = -0.112 * v_[10];
+ v_[20] = 0.112 * v_[9];
+ v_[21] = v_[19] * v_[5] + v_[20] * x_in[7];
+ v_[22] = v_[10] * v_[17] + v_[18] * v_[3] + v_[21] * x_in[8];
+ v_[23] = v_[1] + x_in[8];
+ v_[24] = 0 - v_[23] * v_[21];
+ v_[25] = v_[15] * v_[23];
+ v_[26] = v_[23] * v_[23];
+ v_[27] = v_[12] * v_[12];
+ v_[28] = cos(x_in[3]);
+ v_[29] = -1 * v_[16];
+ v_[30] = sin(x_in[3]);
+ v_[31] = 0 - v_[30];
+ v_[32] = v_[30] * v_[15] + v_[28] * v_[23];
+ v_[33] = 0 - v_[32];
+ v_[34] = v_[31] * v_[6] + v_[28] * v_[14] + v_[33] * x_in[9];
+ v_[35] = v_[28] * v_[15] + v_[31] * v_[23];
+ v_[36] = v_[28] * v_[6] + v_[30] * v_[14] + v_[35] * x_in[9];
+ v_[37] = -0.304 * v_[14] + -1 * v_[22];
+ v_[38] = 0.112 * v_[10];
+ v_[39] = v_[18] * v_[5] + v_[38] * x_in[7];
+ v_[40] = 0 - v_[39];
+ v_[41] = v_[9] * v_[17] + v_[19] * v_[3] + v_[40] * x_in[8];
+ v_[42] = -0.304 * v_[30];
+ v_[43] = -0.304 * v_[28];
+ v_[44] = v_[43] * v_[12] + v_[28] * v_[21];
+ v_[45] = v_[28] * v_[7] + v_[30] * v_[41] + v_[42] * v_[16] + v_[44] * x_in[9];
+ v_[46] = -0.304 * v_[15] + -1 * v_[39];
+ v_[47] = -1 * v_[12] + x_in[9];
+ v_[48] = v_[35] * v_[46] - v_[47] * v_[44];
+ v_[49] = v_[35] * v_[47];
+ v_[50] = v_[47] * v_[47];
+ v_[51] = v_[32] * v_[32];
+ v_[52] = cos(x_in[4]);
+ v_[53] = sin(x_in[4]);
+ v_[54] = 0 - v_[52];
+ v_[55] = v_[53] * v_[35] + v_[54] * v_[47];
+ v_[56] = 0 - v_[55];
+ v_[57] = v_[53] * v_[29] + v_[52] * v_[34] + v_[56] * x_in[10];
+ v_[58] = v_[52] * v_[35] + v_[53] * v_[47];
+ v_[59] = v_[54] * v_[29] + v_[53] * v_[34] + v_[58] * x_in[10];
+ v_[60] = 0.112 * v_[53];
+ v_[61] = 0.112 * v_[52];
+ v_[62] = 0 - v_[52];
+ v_[63] = 0 - v_[30];
+ v_[64] = v_[42] * v_[12] + v_[30] * v_[21];
+ v_[65] = 0 - v_[64];
+ v_[66] = v_[63] * v_[7] + v_[28] * v_[41] + v_[43] * v_[16] + v_[65] * x_in[9];
+ v_[67] = 0.112 * v_[52];
+ v_[68] = -0.112 * v_[53];
+ v_[69] = v_[67] * v_[47] + v_[68] * v_[35] + v_[53] * v_[46] + v_[52] * v_[44];
+ v_[70] = v_[60] * v_[29] + v_[61] * v_[34] + v_[62] * v_[37] + v_[53] * v_[66] + v_[69] * x_in[10];
+ v_[71] = v_[32] + x_in[10];
+ v_[72] = v_[58] * v_[64] - v_[71] * v_[69];
+ v_[73] = v_[58] * v_[71];
+ v_[74] = v_[71] * v_[71];
+ v_[75] = v_[55] * v_[55];
+ v_[76] = sin(x_in[5]);
+ v_[77] = cos(x_in[5]);
+ v_[78] = 0.02075 * v_[76] + 0.184 * v_[77];
+ v_[79] = 0 - v_[76];
+ v_[80] = v_[60] * v_[47] + v_[61] * v_[35] + v_[62] * v_[46] + v_[53] * v_[44];
+ v_[81] = 0.184 * v_[76] - 0.02075 * v_[77];
+ v_[82] = v_[77] * v_[64] + v_[76] * v_[80] + v_[81] * v_[58];
+ v_[83] = 0 - v_[82];
+ v_[84] = v_[79] * v_[45] + v_[77] * v_[70] + v_[78] * v_[57] + v_[83] * x_in[11];
+ v_[85] = v_[76] * v_[55] + v_[77] * v_[71];
+ v_[86] = 0 - v_[76];
+ v_[87] = v_[77] * v_[55] + v_[86] * v_[71];
+ v_[88] = v_[85] * v_[87];
+ v_[89] = 0.02075 * v_[71] + -0.184 * v_[55] + v_[69];
+ v_[90] = v_[85] * v_[89];
+ v_[91] = v_[58] + x_in[11];
+ v_[92] = v_[91] * v_[82];
+ v_[93] = 1.547475 * v_[84] + 0.038686875 * v_[57] + 0.038686875 * v_[88] + -1.547475 * (v_[90] - v_[92]);
+ v_[94] = v_[79] * v_[64] + v_[77] * v_[80] + v_[78] * v_[58];
+ v_[95] = v_[91] * v_[91];
+ v_[96] = v_[87] * v_[87];
+ v_[97] = 1.547475 * (v_[87] * v_[89] - v_[91] * v_[94]) +
+ 1.547475 * (v_[77] * v_[45] + v_[76] * v_[70] + v_[81] * v_[57] + v_[94] * x_in[11]) -
+ 0.038686875 * (v_[95] + v_[96]);
+ v_[98] = 0 - v_[85];
+ v_[99] = v_[86] * v_[36] + v_[77] * v_[59] + v_[98] * x_in[11];
+ v_[100] = v_[77] * v_[36] + v_[76] * v_[59] + v_[87] * x_in[11];
+ v_[101] = v_[85] * v_[91];
+ v_[102] = v_[87] * v_[91];
+ v_[103] = v_[85] * v_[85];
+ v_[104] = v_[55] * v_[71];
+ v_[105] = v_[55] * v_[58];
+ v_[92] = -0.001243 * v_[36] + 0.029115 * v_[57] + -0.001387 * v_[59] + 0.057838 * v_[70] + 0.057838 * v_[72] +
+ -0.001387 * v_[73] + -0.012652 * (v_[74] - v_[75]) + v_[78] * v_[93] + v_[81] * v_[97] +
+ 0.009277 * v_[57] + -0.000829 * v_[99] + 1.5e-05 * v_[100] + 0.038686875 * v_[84] + -0.00751 * v_[88] +
+ 0.038686875 * (v_[92] - v_[90]) + -0.000829 * v_[101] - 1.5e-05 * v_[102] - 0.000198 * (v_[96] - v_[103]) -
+ -0.008386 * v_[104] - -0.001243 * v_[105];
+ v_[90] = 0 - v_[80];
+ v_[84] = v_[67] * v_[29] + v_[68] * v_[34] + v_[53] * v_[37] + v_[52] * v_[66] + v_[90] * x_in[10];
+ v_[106] = v_[55] * v_[64] - v_[71] * v_[80];
+ v_[107] = 0.02075 * v_[36] + -0.184 * v_[59] + v_[84];
+ v_[108] = v_[85] * v_[94] - v_[87] * v_[82];
+ v_[103] = -0.000829 * v_[57] + 0.003227 * v_[99] + 0.000198 * v_[100] + -0.038686875 * v_[107] +
+ 0.000198 * v_[102] + 1.5e-05 * (v_[95] - v_[103]) - 0.038686875 * v_[108] - -0.00146 * v_[101] -
+ -0.000829 * v_[88];
+ v_[102] = 1.5e-05 * v_[57] + 0.000198 * v_[99] + 0.010737 * v_[100] + 0.00605 * v_[102] + 1.5e-05 * v_[88] -
+ 0.000198 * v_[101] - -0.000829 * (v_[95] - v_[96]);
+ v_[108] = 1.547475 * v_[107] + -0.038686875 * v_[99] + 0.038686875 * v_[101] + 1.547475 * v_[108];
+ v_[107] = v_[58] * v_[58];
+ v_[74] = -0.012652 * v_[36] + -0.001387 * v_[57] + 0.019432 * v_[59] + -0.057838 * v_[84] + -0.018069 * v_[73] +
+ 0.057838 * v_[106] + -0.012652 * v_[105] + v_[77] * v_[103] + v_[76] * v_[102] + -0.184 * v_[108] -
+ -0.001387 * v_[104] - -0.001243 * (v_[74] - v_[107]);
+ v_[106] = 2.1032 * v_[84] + -0.057838 * v_[59] + 0.057838 * v_[73] + -2.1032 * v_[106] + v_[108];
+ v_[72] =
+ 2.1032 * v_[70] + 0.057838 * v_[57] + 0.057838 * v_[104] + 2.1032 * v_[72] + v_[77] * v_[93] + v_[76] * v_[97];
+ v_[84] = v_[32] * v_[44] - v_[35] * v_[64];
+ v_[101] = v_[32] * v_[47];
+ v_[99] = v_[32] * v_[35];
+ v_[100] = -0.0022920002 * v_[29] + 0.01828449 * v_[34] + 0.0036857284 * v_[36] + -0.160298259823722 * v_[37] +
+ 1.52322944854339e-09 * v_[45] + 1.52322944854339e-09 * v_[48] + 0.0036857284 * v_[49] +
+ -0.00021200017 * (v_[50] - v_[51]) + v_[52] * v_[92] + v_[53] * v_[74] + v_[68] * v_[106] +
+ v_[61] * v_[72] - 0.160298259823722 * v_[84] - 0.01404749 * v_[101] - -0.0022920002 * v_[99];
+ v_[96] = v_[32] * v_[46];
+ v_[95] = v_[47] * v_[64];
+ v_[88] = v_[35] * v_[35];
+ v_[108] = -0.00021200017 * v_[29] + 0.0036857284 * v_[34] + 0.081661 * v_[36] + -0.008711861 * v_[37] +
+ -1.52322944854339e-09 * v_[66] + -0.008711861 * v_[84] + 1.52322944854339e-09 * (v_[96] - v_[95]) +
+ 0.077424 * v_[49] + -0.00021200017 * v_[99] + 0.011046 * v_[36] + -0.001243 * v_[57] +
+ -0.012652 * v_[59] + -0.001243 * v_[104] + 0.009683 * v_[105] + v_[86] * v_[103] + v_[77] * v_[102] +
+ 0.02075 * v_[108] - -0.012652 * v_[73] - -0.001387 * (v_[107] - v_[75]) - 0.0036857284 * v_[101] -
+ -0.0022920002 * (v_[50] - v_[88]);
+ v_[84] = -0.160298259823722 * v_[34] + -0.008711861 * v_[36] + 1.7423722 * v_[37] + 1.7423722 * v_[84] +
+ 0.160298259823722 * v_[101] + -0.008711861 * v_[49] + v_[53] * v_[106] + v_[62] * v_[72] -
+ 1.52322944854339e-09 * (v_[88] + v_[51]);
+ v_[105] = v_[12] * v_[21] - v_[15] * v_[39];
+ v_[104] = v_[12] * v_[23];
+ v_[73] = v_[12] * v_[15];
+ v_[109] = -0.0037997814 * v_[6] + 0.20986895 * v_[14] + 5.399998e-05 * v_[16] + 0.0055615274403 * v_[7] +
+ 0.647967112 * v_[22] + 0.647967112 * v_[24] + 5.399998e-05 * v_[25] + -0.011715295 * (v_[26] - v_[27]) +
+ v_[28] * v_[100] + v_[30] * v_[108] + -0.304 * v_[84] - -0.0055615274403 * v_[105] -
+ -0.192033951 * v_[104] - -0.0037997814 * v_[73];
+ v_[110] = v_[23] * v_[39];
+ v_[111] = 0 - v_[110];
+ v_[112] = 0.160298259823722 * v_[29] + -1.52322944854339e-09 * v_[36] + 1.7423722 * v_[66] +
+ -1.7423722 * (v_[96] - v_[95]) + 0.160298259823722 * v_[99] + 1.52322944854339e-09 * v_[49] +
+ v_[52] * v_[106] + v_[53] * v_[72] - -0.008711861 * (v_[50] + v_[51]);
+ v_[107] = 0.008711861 * v_[29] + 1.52322944854339e-09 * v_[34] + 1.7423722 * v_[45] + 1.7423722 * v_[48] +
+ 1.52322944854339e-09 * v_[101] + -0.008711861 * v_[99] + 2.1032 * (v_[55] * v_[69] - v_[58] * v_[80]) +
+ 2.1032 * v_[45] + v_[79] * v_[93] + v_[77] * v_[97] - 0.160298259823722 * (v_[50] + v_[88]) -
+ 0.057838 * (v_[107] + v_[75]);
+ v_[75] = v_[15] * v_[15];
+ v_[105] =
+ -0.011715295 * v_[6] + 5.399998e-05 * v_[14] + 0.20236395 * v_[16] + 0.01438086 * v_[7] +
+ -0.647967112 * v_[41] + 0.01438086 * v_[105] + 0.647967112 * v_[111] + -0.199538951 * v_[25] +
+ -0.011715295 * v_[73] + v_[43] * v_[112] + v_[42] * v_[107] +
+ -1 * (0.09570849 * v_[29] + -0.0022920002 * v_[34] + -0.00021200017 * v_[36] + 0.160298259823722 * v_[66] +
+ 0.008711861 * v_[45] + 0.160298259823722 * (v_[95] - v_[96]) + -0.06337651 * v_[99] +
+ -0.0022920002 * v_[101] + v_[53] * v_[92] + v_[54] * v_[74] + v_[67] * v_[106] + v_[60] * v_[72] -
+ -0.008711861 * v_[48] - -0.00021200017 * v_[49] - 0.0036857284 * (v_[88] - v_[51])) -
+ 5.399998e-05 * v_[104] - -0.0037997814 * (v_[26] - v_[75]);
+ v_[111] = -0.0055615274403 * v_[6] + -0.647967112 * v_[16] + 2.327 * v_[41] + -2.327 * v_[111] +
+ -0.0055615274403 * v_[73] + 0.647967112 * v_[25] + v_[28] * v_[112] + v_[30] * v_[107] -
+ 0.01438086 * (v_[26] + v_[27]);
+ v_[84] = -0.01438086 * v_[6] + 0.647967112 * v_[14] + 2.327 * v_[22] + 2.327 * v_[24] + 0.647967112 * v_[104] +
+ 0.01438086 * v_[73] + -1 * v_[84] - -0.0055615274403 * (v_[26] + v_[75]);
+ v_[26] = v_[1] * x_in[7];
+ v_[88] = v_[1] * v_[5];
+ v_[95] = v_[4] * v_[18];
+ v_[96] = v_[4] * v_[9];
+ v_[99] = v_[95] * -1 + v_[96] * -0.304;
+ v_[101] = v_[4] * v_[19];
+ v_[51] = v_[4] * v_[10];
+ v_[49] = v_[101] * v_[28] + v_[51] * v_[43];
+ v_[48] = v_[51] * -1;
+ v_[50] = v_[0] * v_[31] + v_[96] * v_[28];
+ v_[113] = v_[99] * v_[53] + v_[49] * v_[52] + v_[48] * v_[67] + v_[50] * v_[68];
+ v_[114] = v_[0] * v_[28] + v_[96] * v_[30];
+ v_[115] = v_[48] * v_[54] + v_[50] * v_[53];
+ v_[116] = v_[113] + v_[114] * 0.02075 + v_[115] * -0.184;
+ v_[117] = v_[114] * v_[86] + v_[115] * v_[77];
+ v_[118] = v_[116] * 1.547475 + v_[117] * -0.038686875;
+ v_[119] = v_[118] + v_[113] * 2.1032 + v_[115] * -0.057838;
+ v_[120] = v_[101] * v_[30] + v_[51] * v_[42];
+ v_[121] = v_[99] * v_[62] + v_[49] * v_[53] + v_[48] * v_[60] + v_[50] * v_[61];
+ v_[122] = v_[48] * v_[53] + v_[50] * v_[52];
+ v_[123] = v_[120] * v_[79] + v_[121] * v_[77] + v_[122] * v_[78];
+ v_[124] = v_[123] * 1.547475 + v_[122] * 0.038686875;
+ v_[125] = v_[120] * v_[77] + v_[121] * v_[76] + v_[122] * v_[81];
+ v_[126] = v_[125] * 1.547475;
+ v_[127] = v_[124] * v_[77] + v_[126] * v_[76] + v_[121] * 2.1032 + v_[122] * 0.057838;
+ v_[128] = v_[119] * v_[52] + v_[127] * v_[53] + v_[49] * 1.7423722 + v_[48] * 0.160298259823722 +
+ v_[114] * -1.52322944854339e-09;
+ v_[129] = v_[124] * v_[79] + v_[126] * v_[77] + v_[120] * 2.1032 + v_[120] * 1.7423722 + v_[48] * 0.008711861 +
+ v_[50] * 1.52322944854339e-09;
+ v_[130] = v_[128] * v_[28] + v_[129] * v_[30] + v_[101] * 2.327 + v_[0] * -0.0055615274403 + v_[51] * -0.647967112;
+ v_[131] =
+ v_[119] * v_[53] + v_[127] * v_[62] + v_[99] * 1.7423722 + v_[50] * -0.160298259823722 + v_[114] * -0.008711861;
+ v_[132] = v_[131] * -1 + v_[95] * 2.327 + v_[0] * -0.01438086 + v_[96] * 0.647967112;
+ v_[133] = v_[125] * 1.547475;
+ v_[134] = v_[123] * -1.547475;
+ v_[135] = v_[122] * 0.038686875;
+ v_[136] = v_[134] - v_[135];
+ v_[137] = v_[133] * v_[87] + v_[136] * v_[85];
+ v_[138] = v_[121] * 2.1032 + v_[122] * 0.057838;
+ v_[139] = 0 - v_[138];
+ v_[140] = v_[120] * 2.1032;
+ v_[141] = v_[137] + v_[139] * v_[71] + v_[140] * v_[55] + v_[127] * x_in[10];
+ v_[142] = 0 - v_[133];
+ v_[143] = v_[116] * 1.547475 + (0 - v_[117]) * 0.038686875;
+ v_[144] = v_[142] * v_[91] + v_[143] * v_[85] + v_[126] * x_in[11];
+ v_[135] = 0 - v_[134] + v_[135];
+ v_[134] = 0 - v_[143];
+ v_[145] = v_[135] * v_[91] + v_[134] * v_[87] - v_[124] * x_in[11];
+ v_[146] = v_[113] * -2.1032 + v_[115] * 0.057838;
+ v_[147] = 0 - v_[146];
+ v_[148] = 0 - v_[140];
+ v_[149] = v_[144] * v_[77] + v_[145] * v_[76] + v_[147] * v_[71] + v_[148] * v_[58] - v_[119] * x_in[10];
+ v_[150] = v_[120] * 1.7423722 + (0 - v_[48]) * -0.008711861 + v_[50] * 1.52322944854339e-09;
+ v_[151] = 0 - v_[150];
+ v_[152] = v_[99] * 1.7423722 + (0 - v_[50]) * 0.160298259823722 + v_[114] * -0.008711861;
+ v_[153] = v_[141] * v_[52] + v_[149] * v_[53] + v_[151] * v_[47] + v_[152] * v_[32] + v_[129] * x_in[9];
+ v_[154] = v_[49] * -1.7423722;
+ v_[155] = v_[48] * 0.160298259823722;
+ v_[156] = v_[114] * 1.52322944854339e-09;
+ v_[157] = 0 - v_[154] + v_[155] - v_[156];
+ v_[158] = 0 - v_[152];
+ v_[159] = v_[144] * v_[79] + v_[145] * v_[77] + v_[138] * v_[58] + v_[146] * v_[55] + v_[157] * v_[47] +
+ v_[158] * v_[35] - v_[128] * x_in[9];
+ v_[160] = 0 - (v_[95] * 2.327 + (0 - v_[0]) * 0.01438086 + v_[96] * 0.647967112);
+ v_[161] = (0 - v_[96]) * -0.0055615274403 + v_[51] * 0.01438086;
+ v_[162] = v_[153] * v_[28] + v_[159] * v_[30] + v_[160] * v_[23] + v_[161] * v_[12] + v_[132] * x_in[8];
+ v_[156] = v_[154] - v_[155] + v_[156];
+ v_[155] = v_[141] * v_[53] + v_[149] * v_[62] + v_[150] * v_[35] + v_[156] * v_[32];
+ v_[154] = v_[0] * -0.0055615274403 - (v_[101] * -2.327 + v_[51] * 0.647967112);
+ v_[163] = 0 - v_[161];
+ v_[164] = v_[155] * -1 + v_[154] * v_[23] + v_[163] * v_[15] - v_[130] * x_in[8];
+ v_[165] = v_[114] * v_[77] + v_[115] * v_[76];
+ v_[166] = (0 - v_[122]) * 1.5e-05 + v_[117] * 0.000198 + v_[165] * 0.00605;
+ v_[167] = v_[116] * 0.038686875 + v_[122] * -0.000829 + (0 - v_[117]) * -0.00146 + (0 - v_[165]) * 0.000198;
+ v_[125] = (0 - v_[125]) * 0.038686875;
+ v_[168] = v_[117] * 1.5e-05;
+ v_[169] = (0 - v_[165]) * -0.000829;
+ v_[170] = v_[125] + v_[168] + v_[169];
+ v_[170] =
+ v_[142] * v_[94] + v_[135] * v_[82] + v_[166] * v_[87] + v_[167] * v_[85] + v_[170] * v_[91] + v_[170] * v_[91];
+ v_[135] = v_[113] * 0.057838 + (0 - v_[114]) * -0.012652 + v_[122] * -0.001387 + v_[115] * -0.018069;
+ v_[142] = v_[114] * 0.009683 + (0 - v_[122]) * -0.001243 + v_[115] * -0.012652;
+ v_[171] = (0 - v_[120]) * 0.057838;
+ v_[172] = (0 - v_[114]) * -0.001387;
+ v_[173] = (0 - v_[115]) * -0.001243;
+ v_[174] = v_[171] + v_[172] - v_[173];
+ v_[116] = v_[116] * -0.038686875 + v_[122] * -0.000829 + v_[117] * 0.003227 + v_[165] * 0.000198;
+ v_[175] = v_[122] * 1.5e-05 + v_[117] * 0.000198 + v_[165] * 0.010737;
+ jac[66] = v_[124] * v_[83] + v_[126] * v_[94] + v_[116] * v_[98] + v_[175] * v_[87] + v_[170];
+ v_[113] = v_[118] * -0.184 + v_[116] * v_[77] + v_[175] * v_[76] + v_[113] * -0.057838 + v_[114] * -0.012652 +
+ v_[122] * -0.001387 + v_[115] * 0.019432;
+ v_[174] = v_[170] + v_[144] * v_[78] + v_[145] * v_[81] + v_[138] * v_[64] + v_[148] * v_[80] + v_[135] * v_[71] +
+ v_[142] * v_[55] + v_[174] * v_[58] + v_[174] * v_[58] + v_[113] * x_in[10];
+ v_[170] = v_[123] * 0.038686875 + v_[122] * -0.00751 + (0 - v_[117]) * -0.000829 + v_[165] * 1.5e-05;
+ v_[148] = (0 - v_[122]) * 0.000198;
+ v_[169] = v_[125] + v_[148] - v_[169];
+ v_[169] = v_[133] * v_[89] + v_[134] * v_[82] + v_[166] * v_[91] + v_[170] * v_[85] + v_[169] * v_[87] +
+ v_[169] * v_[87] + v_[175] * x_in[11];
+ v_[148] = 0 - v_[148] - v_[168];
+ v_[148] = v_[136] * v_[89] + v_[143] * v_[94] + v_[167] * v_[91] + v_[170] * v_[87] + v_[148] * v_[85] +
+ v_[148] * v_[85] - v_[116] * x_in[11];
+ v_[170] = v_[121] * 0.057838 + v_[114] * -0.001243 + (0 - v_[122]) * -0.008386 + (0 - v_[115]) * -0.001387;
+ v_[167] = v_[122] * -0.012652;
+ v_[172] = v_[171] - v_[172] - v_[167];
+ v_[165] = v_[123] * 0.038686875 + v_[122] * 0.009277 + v_[117] * -0.000829 + v_[165] * 1.5e-05 + v_[124] * v_[78] +
+ v_[126] * v_[81] + v_[121] * 0.057838 + v_[114] * -0.001243 + v_[122] * 0.029115 + v_[115] * -0.001387;
+ v_[172] = v_[137] * -0.184 + v_[169] * v_[77] + v_[148] * v_[76] + v_[146] * v_[64] + v_[140] * v_[69] +
+ v_[170] * v_[71] + v_[142] * v_[58] + v_[172] * v_[55] + v_[172] * v_[55] - v_[165] * x_in[10];
+ v_[142] = v_[99] * -0.008711861 + v_[49] * 1.52322944854339e-09 + (0 - v_[48]) * -0.00021200017 +
+ v_[50] * 0.0036857284 + v_[114] * 0.077424;
+ v_[146] = v_[49] * 0.160298259823722 + v_[120] * -0.008711861 + v_[48] * -0.06337651 +
+ (0 - v_[50]) * -0.0022920002 + v_[114] * -0.00021200017;
+ v_[140] = (0 - v_[99]) * 1.52322944854339e-09;
+ v_[123] = (0 - v_[120]) * 0.160298259823722;
+ v_[117] = (0 - v_[48]) * 0.0036857284;
+ v_[171] = (0 - v_[114]) * -0.0022920002;
+ v_[143] = v_[140] + v_[123] + v_[117] - v_[171];
+ v_[118] = v_[118] * 0.02075 + v_[116] * v_[86] + v_[175] * v_[77] + v_[114] * 0.011046 + v_[122] * -0.001243 +
+ v_[115] * -0.012652 + v_[99] * -0.008711861 + v_[49] * -1.52322944854339e-09 + v_[48] * -0.00021200017 +
+ v_[50] * 0.0036857284 + v_[114] * 0.081661;
+ v_[143] = v_[141] * v_[68] + v_[149] * v_[61] + v_[174] * v_[52] + v_[172] * v_[53] + v_[150] * v_[46] +
+ v_[158] * v_[64] + v_[142] * v_[47] + v_[146] * v_[32] + v_[143] * v_[35] + v_[143] * v_[35] +
+ v_[118] * x_in[9];
+ v_[167] = v_[167] + v_[173];
+ v_[167] = v_[137] * 0.02075 + v_[169] * v_[86] + v_[148] * v_[77] + v_[139] * v_[69] + v_[147] * v_[80] +
+ v_[135] * v_[58] + v_[170] * v_[55] + v_[167] * v_[71] + v_[167] * v_[71];
+ jac[60] = v_[119] * v_[90] + v_[127] * v_[69] + v_[165] * v_[56] + v_[113] * v_[58] + v_[167];
+ v_[170] = v_[99] * 0.160298259823722 + v_[120] * 1.52322944854339e-09 + v_[48] * -0.0022920002 +
+ (0 - v_[50]) * 0.01404749 + (0 - v_[114]) * 0.0036857284;
+ v_[135] = (0 - v_[49]) * -0.008711861;
+ v_[147] = v_[50] * -0.00021200017;
+ v_[117] = v_[140] + v_[135] - v_[117] - v_[147];
+ v_[140] = v_[119] * v_[68] + v_[127] * v_[61] + v_[165] * v_[52] + v_[113] * v_[53] + v_[99] * -0.160298259823722 +
+ v_[120] * 1.52322944854339e-09 + v_[48] * -0.0022920002 + v_[50] * 0.01828449 + v_[114] * 0.0036857284;
+ v_[117] = v_[167] + v_[156] * v_[46] + v_[152] * v_[44] + v_[170] * v_[47] + v_[146] * v_[35] + v_[117] * v_[32] +
+ v_[117] * v_[32] - v_[140] * x_in[9];
+ v_[167] = v_[101] * 0.647967112 + (0 - v_[0]) * -0.011715295 + v_[96] * 5.399998e-05 + v_[51] * -0.199538951;
+ v_[146] = v_[101] * -0.0055615274403 + v_[95] * 0.01438086 + v_[0] * 0.00750500000000001 +
+ (0 - v_[96]) * -0.0037997814 + v_[51] * -0.011715295;
+ v_[156] = (0 - v_[95]) * -0.0055615274403;
+ v_[152] = (0 - v_[0]) * 5.399998e-05;
+ v_[139] = (0 - v_[51]) * -0.0037997814;
+ v_[137] = v_[156] + v_[152] - v_[139];
+ v_[173] = v_[128] * v_[43] + v_[129] * v_[42] +
+ (v_[119] * v_[67] + v_[127] * v_[60] + v_[165] * v_[53] + v_[113] * v_[54] + v_[49] * 0.160298259823722 +
+ v_[120] * 0.008711861 + v_[48] * 0.09570849 + v_[50] * -0.0022920002 + v_[114] * -0.00021200017) *
+ -1 +
+ v_[101] * -0.647967112 + v_[0] * -0.011715295 + v_[96] * 5.399998e-05 + v_[51] * 0.20236395;
+ v_[137] = v_[155] * -0.304 + v_[143] * v_[28] + v_[117] * v_[30] + v_[163] * v_[39] + v_[167] * v_[23] +
+ v_[146] * v_[12] + v_[137] * v_[15] + v_[137] * v_[15] + v_[173] * x_in[8];
+ v_[147] = v_[135] + v_[123] + v_[147] + v_[171];
+ v_[147] = v_[141] * v_[67] + v_[149] * v_[60] + v_[174] * v_[53] + v_[172] * v_[54] + v_[151] * v_[44] +
+ v_[157] * v_[64] + v_[142] * v_[35] + v_[170] * v_[32] + v_[147] * v_[47] + v_[147] * v_[47];
+ jac[54] = v_[128] * v_[65] + v_[129] * v_[44] + v_[140] * v_[33] + v_[118] * v_[35] + v_[147];
+ v_[170] = v_[95] * 0.647967112 + v_[0] * -0.0037997814 + (0 - v_[96]) * -0.192033951 + (0 - v_[51]) * 5.399998e-05;
+ v_[142] = (0 - v_[101]) * 0.01438086;
+ v_[157] = v_[96] * -0.011715295;
+ v_[152] = v_[142] - v_[152] - v_[157];
+ v_[131] = v_[131] * -0.304 + v_[140] * v_[28] + v_[118] * v_[30] + v_[95] * 0.647967112 + v_[0] * -0.0037997814 +
+ v_[96] * 0.20986895 + v_[51] * 5.399998e-05;
+ v_[152] = v_[153] * v_[43] + v_[159] * v_[42] + v_[147] * -1 + v_[161] * v_[21] + v_[170] * v_[23] +
+ v_[146] * v_[15] + v_[152] * v_[12] + v_[152] * v_[12] - v_[131] * x_in[8];
+ v_[147] = (0 - v_[4]) * -0.002752 + v_[0] * -0.022851627;
+ v_[146] = (0 - v_[0]) * -0.002752;
+ v_[161] = 0 - v_[146];
+ v_[95] = v_[140] * v_[31] + v_[118] * v_[28] + v_[101] * -0.0055615274403 + v_[95] * -0.01438086 +
+ v_[0] * 0.010329999 + v_[96] * -0.0037997814 + v_[51] * -0.011715295 + v_[4] * 0.0055279857 +
+ v_[0] * 0.039002996 + v_[4] * 0.0055279857 + v_[0] * -0.034462002;
+ v_[161] = v_[162] * v_[19] + v_[164] * v_[18] + v_[137] * v_[9] + v_[152] * v_[10] + v_[147] * v_[1] +
+ v_[161] * v_[5] + v_[161] * v_[5] + v_[95] * x_in[7];
+ v_[151] = sin(x_in[1]);
+ v_[157] = v_[142] + v_[156] + v_[157] + v_[139];
+ v_[157] = v_[143] * v_[31] + v_[117] * v_[28] + v_[160] * v_[21] + v_[154] * v_[39] + v_[167] * v_[15] +
+ v_[170] * v_[12] + v_[157] * v_[23] + v_[157] * v_[23];
+ jac[48] = v_[130] * v_[40] + v_[132] * v_[21] + v_[131] * v_[13] + v_[173] * v_[15] + v_[157];
+ v_[170] = (0 - v_[4]) * 0.012390532 + (0 - v_[0]) * 0.0055279857;
+ v_[167] = v_[4] * -0.022851627;
+ v_[154] = 0 - v_[167];
+ v_[160] = v_[130] * v_[19] + v_[132] * v_[18] + v_[131] * v_[9] + v_[173] * v_[10] + v_[4] * 0.08585553 +
+ v_[0] * 0.0055279857;
+ v_[154] = v_[157] + v_[170] * x_in[7] + v_[147] * v_[5] + v_[154] * v_[1] + v_[154] * v_[1] - v_[160] * x_in[7];
+ jac[36] = v_[161] * v_[4] + v_[154] * v_[0];
+ v_[157] = cos(x_in[1]);
+ jac[6] = 0 -
+ (0.08585553 * v_[3] + 0.0055279857 * v_[6] + 0.0099341499912 * v_[7] + 0.0055279857 * v_[6] +
+ -0.022851627 * (v_[8] - v_[1] * v_[1]) + v_[9] * v_[109] + v_[10] * v_[105] + v_[19] * v_[111] +
+ v_[18] * v_[84] - 0.012390532 * v_[26] - -0.002752 * v_[88] +
+ (v_[130] * v_[9] + v_[132] * v_[10] + v_[0] * -0.0099341499912) * 9.81 + v_[161] * x_in[6]) *
+ v_[151] +
+ (0.0055279857 * v_[3] + 0.039002996 * v_[6] + -0.0099341499912 * v_[17] + -0.034462002 * v_[6] +
+ -0.022851627 * v_[88] + 0.010329999 * v_[6] + -0.0037997814 * v_[14] + -0.011715295 * v_[16] +
+ -0.0055615274403 * v_[41] + -0.01438086 * v_[22] + -0.0055615274403 * v_[110] +
+ 0.00750500000000001 * v_[73] + -0.0037997814 * v_[104] + v_[31] * v_[100] + v_[28] * v_[108] -
+ 0.01438086 * v_[24] - -0.011715295 * v_[25] - 5.399998e-05 * (v_[75] - v_[27]) -
+ 0.0055279857 * v_[26] - -0.002752 * (v_[8] - v_[5] * v_[5]) +
+ (v_[128] * v_[63] + v_[129] * v_[28] + v_[96] * 0.0055615274403 + v_[51] * 0.01438086 +
+ v_[4] * 0.0099341499912) *
+ 9.81 +
+ v_[154] * x_in[6]) *
+ v_[157];
+ v_[154] = v_[38] * -1 + v_[10] * -0.304;
+ v_[161] = v_[20] * v_[28] + v_[11] * v_[43];
+ v_[88] = v_[11] * -1;
+ v_[26] = v_[10] * v_[28];
+ v_[75] = v_[154] * v_[53] + v_[161] * v_[52] + v_[88] * v_[67] + v_[26] * v_[68];
+ v_[110] = v_[10] * v_[30];
+ v_[73] = v_[88] * v_[54] + v_[26] * v_[53];
+ v_[104] = v_[75] + v_[110] * 0.02075 + v_[73] * -0.184;
+ v_[27] = v_[110] * v_[86] + v_[73] * v_[77];
+ v_[25] = v_[104] * 1.547475 + v_[27] * -0.038686875;
+ v_[24] = v_[25] + v_[75] * 2.1032 + v_[73] * -0.057838;
+ v_[22] = v_[20] * v_[30] + v_[11] * v_[42];
+ v_[8] = v_[154] * v_[62] + v_[161] * v_[53] + v_[88] * v_[60] + v_[26] * v_[61];
+ v_[147] = v_[88] * v_[53] + v_[26] * v_[52];
+ v_[142] = v_[22] * v_[79] + v_[8] * v_[77] + v_[147] * v_[78];
+ v_[139] = v_[142] * 1.547475 + v_[147] * 0.038686875;
+ v_[156] = v_[22] * v_[77] + v_[8] * v_[76] + v_[147] * v_[81];
+ v_[135] = v_[156] * 1.547475;
+ v_[171] = v_[139] * v_[77] + v_[135] * v_[76] + v_[8] * 2.1032 + v_[147] * 0.057838;
+ v_[123] = v_[24] * v_[52] + v_[171] * v_[53] + v_[161] * 1.7423722 + v_[88] * 0.160298259823722 +
+ v_[110] * -1.52322944854339e-09;
+ v_[163] = v_[139] * v_[79] + v_[135] * v_[77] + v_[22] * 2.1032 + v_[22] * 1.7423722 + v_[88] * 0.008711861 +
+ v_[26] * 1.52322944854339e-09;
+ v_[155] = v_[123] * v_[28] + v_[163] * v_[30] + v_[20] * 2.327 + v_[11] * -0.647967112;
+ v_[158] =
+ v_[24] * v_[53] + v_[171] * v_[62] + v_[154] * 1.7423722 + v_[26] * -0.160298259823722 + v_[110] * -0.008711861;
+ v_[150] = v_[158] * -1 + v_[38] * 2.327 + v_[10] * 0.647967112;
+ v_[136] = v_[156] * 1.547475;
+ v_[168] = v_[142] * -1.547475;
+ v_[166] = v_[147] * 0.038686875;
+ v_[134] = v_[168] - v_[166];
+ v_[133] = v_[136] * v_[87] + v_[134] * v_[85];
+ v_[125] = v_[8] * 2.1032 + v_[147] * 0.057838;
+ v_[138] = 0 - v_[125];
+ v_[176] = v_[22] * 2.1032;
+ v_[177] = v_[133] + v_[138] * v_[71] + v_[176] * v_[55] + v_[171] * x_in[10];
+ v_[178] = 0 - v_[136];
+ v_[179] = v_[104] * 1.547475 + (0 - v_[27]) * 0.038686875;
+ v_[180] = v_[178] * v_[91] + v_[179] * v_[85] + v_[135] * x_in[11];
+ v_[166] = 0 - v_[168] + v_[166];
+ v_[168] = 0 - v_[179];
+ v_[181] = v_[166] * v_[91] + v_[168] * v_[87] - v_[139] * x_in[11];
+ v_[182] = v_[75] * -2.1032 + v_[73] * 0.057838;
+ v_[183] = 0 - v_[182];
+ v_[184] = 0 - v_[176];
+ v_[185] = v_[180] * v_[77] + v_[181] * v_[76] + v_[183] * v_[71] + v_[184] * v_[58] - v_[24] * x_in[10];
+ v_[186] = v_[22] * 1.7423722 + (0 - v_[88]) * -0.008711861 + v_[26] * 1.52322944854339e-09;
+ v_[187] = 0 - v_[186];
+ v_[188] = v_[154] * 1.7423722 + (0 - v_[26]) * 0.160298259823722 + v_[110] * -0.008711861;
+ v_[189] = v_[177] * v_[52] + v_[185] * v_[53] + v_[187] * v_[47] + v_[188] * v_[32] + v_[163] * x_in[9];
+ v_[190] = v_[161] * -1.7423722;
+ v_[191] = v_[88] * 0.160298259823722;
+ v_[192] = v_[110] * 1.52322944854339e-09;
+ v_[193] = 0 - v_[190] + v_[191] - v_[192];
+ v_[194] = 0 - v_[188];
+ v_[195] = v_[180] * v_[79] + v_[181] * v_[77] + v_[125] * v_[58] + v_[182] * v_[55] + v_[193] * v_[47] +
+ v_[194] * v_[35] - v_[123] * x_in[9];
+ v_[196] = 0 - (v_[38] * 2.327 + v_[10] * 0.647967112);
+ v_[197] = (0 - v_[10]) * -0.0055615274403 + v_[11] * 0.01438086;
+ v_[198] = v_[189] * v_[28] + v_[195] * v_[30] + v_[196] * v_[23] + v_[197] * v_[12] + v_[150] * x_in[8];
+ v_[192] = v_[190] - v_[191] + v_[192];
+ v_[191] = v_[177] * v_[53] + v_[185] * v_[62] + v_[186] * v_[35] + v_[192] * v_[32];
+ v_[190] = 0 - (v_[20] * -2.327 + v_[11] * 0.647967112);
+ v_[199] = 0 - v_[197];
+ v_[200] = v_[191] * -1 + v_[190] * v_[23] + v_[199] * v_[15] - v_[155] * x_in[8];
+ v_[201] = v_[110] * v_[77] + v_[73] * v_[76];
+ v_[202] = (0 - v_[147]) * 1.5e-05 + v_[27] * 0.000198 + v_[201] * 0.00605;
+ v_[203] = v_[104] * 0.038686875 + v_[147] * -0.000829 + (0 - v_[27]) * -0.00146 + (0 - v_[201]) * 0.000198;
+ v_[156] = (0 - v_[156]) * 0.038686875;
+ v_[204] = v_[27] * 1.5e-05;
+ v_[205] = (0 - v_[201]) * -0.000829;
+ v_[206] = v_[156] + v_[204] + v_[205];
+ v_[206] =
+ v_[178] * v_[94] + v_[166] * v_[82] + v_[202] * v_[87] + v_[203] * v_[85] + v_[206] * v_[91] + v_[206] * v_[91];
+ v_[166] = v_[75] * 0.057838 + (0 - v_[110]) * -0.012652 + v_[147] * -0.001387 + v_[73] * -0.018069;
+ v_[178] = v_[110] * 0.009683 + (0 - v_[147]) * -0.001243 + v_[73] * -0.012652;
+ v_[207] = (0 - v_[22]) * 0.057838;
+ v_[208] = (0 - v_[110]) * -0.001387;
+ v_[209] = (0 - v_[73]) * -0.001243;
+ v_[210] = v_[207] + v_[208] - v_[209];
+ v_[104] = v_[104] * -0.038686875 + v_[147] * -0.000829 + v_[27] * 0.003227 + v_[201] * 0.000198;
+ v_[211] = v_[147] * 1.5e-05 + v_[27] * 0.000198 + v_[201] * 0.010737;
+ jac[67] = v_[139] * v_[83] + v_[135] * v_[94] + v_[104] * v_[98] + v_[211] * v_[87] + v_[206];
+ v_[75] = v_[25] * -0.184 + v_[104] * v_[77] + v_[211] * v_[76] + v_[75] * -0.057838 + v_[110] * -0.012652 +
+ v_[147] * -0.001387 + v_[73] * 0.019432;
+ v_[210] = v_[206] + v_[180] * v_[78] + v_[181] * v_[81] + v_[125] * v_[64] + v_[184] * v_[80] + v_[166] * v_[71] +
+ v_[178] * v_[55] + v_[210] * v_[58] + v_[210] * v_[58] + v_[75] * x_in[10];
+ v_[206] = v_[142] * 0.038686875 + v_[147] * -0.00751 + (0 - v_[27]) * -0.000829 + v_[201] * 1.5e-05;
+ v_[184] = (0 - v_[147]) * 0.000198;
+ v_[205] = v_[156] + v_[184] - v_[205];
+ v_[205] = v_[136] * v_[89] + v_[168] * v_[82] + v_[202] * v_[91] + v_[206] * v_[85] + v_[205] * v_[87] +
+ v_[205] * v_[87] + v_[211] * x_in[11];
+ v_[184] = 0 - v_[184] - v_[204];
+ v_[184] = v_[134] * v_[89] + v_[179] * v_[94] + v_[203] * v_[91] + v_[206] * v_[87] + v_[184] * v_[85] +
+ v_[184] * v_[85] - v_[104] * x_in[11];
+ v_[206] = v_[8] * 0.057838 + v_[110] * -0.001243 + (0 - v_[147]) * -0.008386 + (0 - v_[73]) * -0.001387;
+ v_[203] = v_[147] * -0.012652;
+ v_[208] = v_[207] - v_[208] - v_[203];
+ v_[201] = v_[142] * 0.038686875 + v_[147] * 0.009277 + v_[27] * -0.000829 + v_[201] * 1.5e-05 + v_[139] * v_[78] +
+ v_[135] * v_[81] + v_[8] * 0.057838 + v_[110] * -0.001243 + v_[147] * 0.029115 + v_[73] * -0.001387;
+ v_[208] = v_[133] * -0.184 + v_[205] * v_[77] + v_[184] * v_[76] + v_[182] * v_[64] + v_[176] * v_[69] +
+ v_[206] * v_[71] + v_[178] * v_[58] + v_[208] * v_[55] + v_[208] * v_[55] - v_[201] * x_in[10];
+ v_[178] = v_[154] * -0.008711861 + v_[161] * 1.52322944854339e-09 + (0 - v_[88]) * -0.00021200017 +
+ v_[26] * 0.0036857284 + v_[110] * 0.077424;
+ v_[182] = v_[161] * 0.160298259823722 + v_[22] * -0.008711861 + v_[88] * -0.06337651 +
+ (0 - v_[26]) * -0.0022920002 + v_[110] * -0.00021200017;
+ v_[176] = (0 - v_[154]) * 1.52322944854339e-09;
+ v_[142] = (0 - v_[22]) * 0.160298259823722;
+ v_[27] = (0 - v_[88]) * 0.0036857284;
+ v_[207] = (0 - v_[110]) * -0.0022920002;
+ v_[179] = v_[176] + v_[142] + v_[27] - v_[207];
+ v_[25] = v_[25] * 0.02075 + v_[104] * v_[86] + v_[211] * v_[77] + v_[110] * 0.011046 + v_[147] * -0.001243 +
+ v_[73] * -0.012652 + v_[154] * -0.008711861 + v_[161] * -1.52322944854339e-09 + v_[88] * -0.00021200017 +
+ v_[26] * 0.0036857284 + v_[110] * 0.081661;
+ v_[179] = v_[177] * v_[68] + v_[185] * v_[61] + v_[210] * v_[52] + v_[208] * v_[53] + v_[186] * v_[46] +
+ v_[194] * v_[64] + v_[178] * v_[47] + v_[182] * v_[32] + v_[179] * v_[35] + v_[179] * v_[35] +
+ v_[25] * x_in[9];
+ v_[203] = v_[203] + v_[209];
+ v_[203] = v_[133] * 0.02075 + v_[205] * v_[86] + v_[184] * v_[77] + v_[138] * v_[69] + v_[183] * v_[80] +
+ v_[166] * v_[58] + v_[206] * v_[55] + v_[203] * v_[71] + v_[203] * v_[71];
+ jac[61] = v_[24] * v_[90] + v_[171] * v_[69] + v_[201] * v_[56] + v_[75] * v_[58] + v_[203];
+ v_[206] = v_[154] * 0.160298259823722 + v_[22] * 1.52322944854339e-09 + v_[88] * -0.0022920002 +
+ (0 - v_[26]) * 0.01404749 + (0 - v_[110]) * 0.0036857284;
+ v_[166] = (0 - v_[161]) * -0.008711861;
+ v_[183] = v_[26] * -0.00021200017;
+ v_[27] = v_[176] + v_[166] - v_[27] - v_[183];
+ v_[176] = v_[24] * v_[68] + v_[171] * v_[61] + v_[201] * v_[52] + v_[75] * v_[53] + v_[154] * -0.160298259823722 +
+ v_[22] * 1.52322944854339e-09 + v_[88] * -0.0022920002 + v_[26] * 0.01828449 + v_[110] * 0.0036857284;
+ v_[27] = v_[203] + v_[192] * v_[46] + v_[188] * v_[44] + v_[206] * v_[47] + v_[182] * v_[35] + v_[27] * v_[32] +
+ v_[27] * v_[32] - v_[176] * x_in[9];
+ v_[203] = v_[20] * 0.647967112 + v_[10] * 5.399998e-05 + v_[11] * -0.199538951;
+ v_[182] = v_[20] * -0.0055615274403 + v_[38] * 0.01438086 + (0 - v_[10]) * -0.0037997814 + v_[11] * -0.011715295;
+ v_[192] = (0 - v_[38]) * -0.0055615274403;
+ v_[188] = (0 - v_[11]) * -0.0037997814;
+ v_[138] = v_[192] - v_[188];
+ v_[133] = v_[123] * v_[43] + v_[163] * v_[42] +
+ (v_[24] * v_[67] + v_[171] * v_[60] + v_[201] * v_[53] + v_[75] * v_[54] + v_[161] * 0.160298259823722 +
+ v_[22] * 0.008711861 + v_[88] * 0.09570849 + v_[26] * -0.0022920002 + v_[110] * -0.00021200017) *
+ -1 +
+ v_[20] * -0.647967112 + v_[10] * 5.399998e-05 + v_[11] * 0.20236395;
+ v_[138] = v_[191] * -0.304 + v_[179] * v_[28] + v_[27] * v_[30] + v_[199] * v_[39] + v_[203] * v_[23] +
+ v_[182] * v_[12] + v_[138] * v_[15] + v_[138] * v_[15] + v_[133] * x_in[8];
+ v_[183] = v_[166] + v_[142] + v_[183] + v_[207];
+ v_[183] = v_[177] * v_[67] + v_[185] * v_[60] + v_[210] * v_[53] + v_[208] * v_[54] + v_[187] * v_[44] +
+ v_[193] * v_[64] + v_[178] * v_[35] + v_[206] * v_[32] + v_[183] * v_[47] + v_[183] * v_[47];
+ jac[55] = v_[123] * v_[65] + v_[163] * v_[44] + v_[176] * v_[33] + v_[25] * v_[35] + v_[183];
+ v_[206] = v_[38] * 0.647967112 + (0 - v_[10]) * -0.192033951 + (0 - v_[11]) * 5.399998e-05;
+ v_[178] = (0 - v_[20]) * 0.01438086;
+ v_[193] = v_[10] * -0.011715295;
+ v_[187] = v_[178] - v_[193];
+ v_[158] = v_[158] * -0.304 + v_[176] * v_[28] + v_[25] * v_[30] + v_[38] * 0.647967112 + v_[10] * 0.20986895 +
+ v_[11] * 5.399998e-05;
+ v_[187] = v_[189] * v_[43] + v_[195] * v_[42] + v_[183] * -1 + v_[197] * v_[21] + v_[206] * v_[23] +
+ v_[182] * v_[15] + v_[187] * v_[12] + v_[187] * v_[12] - v_[158] * x_in[8];
+ v_[183] = v_[176] * v_[31] + v_[25] * v_[28] + v_[20] * -0.0055615274403 + v_[38] * -0.01438086 +
+ v_[10] * -0.0037997814 + v_[11] * -0.011715295 - 0.022851627 + 0.022851627;
+ v_[182] = v_[198] * v_[19] + v_[200] * v_[18] + v_[138] * v_[9] + v_[187] * v_[10] + 0.046852534 * v_[1] +
+ -0.0055279857 * v_[5] + -0.0055279857 * v_[5] + v_[183] * x_in[7];
+ v_[193] = v_[178] + v_[192] + v_[193] + v_[188];
+ v_[193] = v_[179] * v_[31] + v_[27] * v_[28] + v_[196] * v_[21] + v_[190] * v_[39] + v_[203] * v_[15] +
+ v_[206] * v_[12] + v_[193] * v_[23] + v_[193] * v_[23];
+ jac[49] = v_[155] * v_[40] + v_[150] * v_[21] + v_[158] * v_[13] + v_[133] * v_[15] + v_[193];
+ v_[206] = v_[155] * v_[19] + v_[150] * v_[18] + v_[158] * v_[9] + v_[133] * v_[10] - 0.002752;
+ jac[43] = v_[198] * v_[20] + v_[200] * v_[38] + v_[138] * v_[10] + v_[187] * v_[11] + -0.002752 * v_[1] +
+ v_[206] * v_[2] + v_[183] * v_[5];
+ v_[206] = v_[193] + -0.002752 * x_in[7] + 0.046852534 * v_[5] + 0.0055279857 * v_[1] + 0.0055279857 * v_[1] -
+ v_[206] * x_in[7];
+ jac[7] = 0 - ((v_[155] * v_[9] + v_[150] * v_[10] + 0.293374233908935) * 9.81 + v_[182] * x_in[6]) * v_[151] +
+ ((v_[123] * v_[63] + v_[163] * v_[28] + v_[10] * 0.0055615274403 + v_[11] * 0.01438086 + 0.0606159433962) *
+ 9.81 +
+ v_[206] * x_in[6]) *
+ v_[157];
+ jac[37] = v_[182] * v_[4] + v_[206] * v_[0];
+ v_[206] = v_[31] * v_[68];
+ v_[182] = v_[31] * v_[53];
+ v_[193] = v_[206] + v_[28] * 0.02075 + v_[182] * -0.184;
+ v_[183] = v_[28] * v_[86] + v_[182] * v_[77];
+ v_[203] = v_[193] * 1.547475 + v_[183] * -0.038686875;
+ v_[190] = v_[203] + v_[206] * 2.1032 + v_[182] * -0.057838;
+ v_[196] = v_[31] * v_[61];
+ v_[178] = v_[31] * v_[52];
+ v_[188] = v_[196] * v_[77] + v_[178] * v_[78];
+ v_[192] = v_[188] * 1.547475 + v_[178] * 0.038686875;
+ v_[197] = v_[196] * v_[76] + v_[178] * v_[81];
+ v_[166] = v_[197] * 1.547475;
+ v_[207] = v_[192] * v_[77] + v_[166] * v_[76] + v_[196] * 2.1032 + v_[178] * 0.057838;
+ v_[142] = v_[190] * v_[52] + v_[207] * v_[53] + v_[28] * -1.52322944854339e-09;
+ v_[199] = v_[192] * v_[79] + v_[166] * v_[77] + v_[31] * 1.52322944854339e-09;
+ v_[191] = v_[142] * v_[28] + v_[199] * v_[30] - 0.0055615274403;
+ v_[209] = v_[190] * v_[53] + v_[207] * v_[62] + v_[31] * -0.160298259823722 + v_[28] * -0.008711861;
+ v_[194] = v_[209] * -1 - 0.01438086;
+ v_[186] = v_[197] * 1.547475;
+ v_[134] = v_[188] * -1.547475;
+ v_[204] = v_[178] * 0.038686875;
+ v_[202] = v_[134] - v_[204];
+ v_[168] = v_[186] * v_[87] + v_[202] * v_[85];
+ v_[136] = v_[196] * 2.1032 + v_[178] * 0.057838;
+ v_[156] = 0 - v_[136];
+ v_[125] = v_[168] + v_[156] * v_[71] + v_[207] * x_in[10];
+ v_[212] = 0 - v_[186];
+ v_[213] = v_[193] * 1.547475 + (0 - v_[183]) * 0.038686875;
+ v_[214] = v_[212] * v_[91] + v_[213] * v_[85] + v_[166] * x_in[11];
+ v_[204] = 0 - v_[134] + v_[204];
+ v_[134] = 0 - v_[213];
+ v_[215] = v_[204] * v_[91] + v_[134] * v_[87] - v_[192] * x_in[11];
+ v_[216] = v_[206] * -2.1032 + v_[182] * 0.057838;
+ v_[217] = 0 - v_[216];
+ v_[218] = v_[214] * v_[77] + v_[215] * v_[76] + v_[217] * v_[71] - v_[190] * x_in[10];
+ v_[219] = v_[31] * 1.52322944854339e-09;
+ v_[220] = 0 - v_[219];
+ v_[221] = (0 - v_[31]) * 0.160298259823722 + v_[28] * -0.008711861;
+ v_[222] = v_[125] * v_[52] + v_[218] * v_[53] + v_[220] * v_[47] + v_[221] * v_[32] + v_[199] * x_in[9];
+ v_[223] = v_[28] * 1.52322944854339e-09;
+ v_[224] = 0 - v_[223];
+ v_[225] = 0 - v_[221];
+ v_[226] = v_[214] * v_[79] + v_[215] * v_[77] + v_[136] * v_[58] + v_[216] * v_[55] + v_[224] * v_[47] +
+ v_[225] * v_[35] - v_[142] * x_in[9];
+ v_[227] = v_[222] * v_[28] + v_[226] * v_[30] + 0.01438086 * v_[23] + v_[194] * x_in[8];
+ v_[228] = v_[125] * v_[53] + v_[218] * v_[62] + v_[219] * v_[35] + v_[223] * v_[32];
+ v_[229] = v_[228] * -1 + -0.0055615274403 * v_[23] - v_[191] * x_in[8];
+ v_[230] = v_[28] * v_[77] + v_[182] * v_[76];
+ v_[231] = (0 - v_[178]) * 1.5e-05 + v_[183] * 0.000198 + v_[230] * 0.00605;
+ v_[232] = v_[193] * 0.038686875 + v_[178] * -0.000829 + (0 - v_[183]) * -0.00146 + (0 - v_[230]) * 0.000198;
+ v_[197] = (0 - v_[197]) * 0.038686875;
+ v_[233] = v_[183] * 1.5e-05;
+ v_[234] = (0 - v_[230]) * -0.000829;
+ v_[235] = v_[197] + v_[233] + v_[234];
+ v_[235] =
+ v_[212] * v_[94] + v_[204] * v_[82] + v_[231] * v_[87] + v_[232] * v_[85] + v_[235] * v_[91] + v_[235] * v_[91];
+ v_[204] = v_[206] * 0.057838 + (0 - v_[28]) * -0.012652 + v_[178] * -0.001387 + v_[182] * -0.018069;
+ v_[212] = v_[28] * 0.009683 + (0 - v_[178]) * -0.001243 + v_[182] * -0.012652;
+ v_[236] = (0 - v_[28]) * -0.001387;
+ v_[237] = (0 - v_[182]) * -0.001243;
+ v_[238] = v_[236] - v_[237];
+ v_[193] = v_[193] * -0.038686875 + v_[178] * -0.000829 + v_[183] * 0.003227 + v_[230] * 0.000198;
+ v_[239] = v_[178] * 1.5e-05 + v_[183] * 0.000198 + v_[230] * 0.010737;
+ jac[68] = v_[192] * v_[83] + v_[166] * v_[94] + v_[193] * v_[98] + v_[239] * v_[87] + v_[235];
+ v_[206] = v_[203] * -0.184 + v_[193] * v_[77] + v_[239] * v_[76] + v_[206] * -0.057838 + v_[28] * -0.012652 +
+ v_[178] * -0.001387 + v_[182] * 0.019432;
+ v_[238] = v_[235] + v_[214] * v_[78] + v_[215] * v_[81] + v_[136] * v_[64] + v_[204] * v_[71] + v_[212] * v_[55] +
+ v_[238] * v_[58] + v_[238] * v_[58] + v_[206] * x_in[10];
+ v_[235] = v_[188] * 0.038686875 + v_[178] * -0.00751 + (0 - v_[183]) * -0.000829 + v_[230] * 1.5e-05;
+ v_[136] = (0 - v_[178]) * 0.000198;
+ v_[234] = v_[197] + v_[136] - v_[234];
+ v_[234] = v_[186] * v_[89] + v_[134] * v_[82] + v_[231] * v_[91] + v_[235] * v_[85] + v_[234] * v_[87] +
+ v_[234] * v_[87] + v_[239] * x_in[11];
+ v_[136] = 0 - v_[136] - v_[233];
+ v_[136] = v_[202] * v_[89] + v_[213] * v_[94] + v_[232] * v_[91] + v_[235] * v_[87] + v_[136] * v_[85] +
+ v_[136] * v_[85] - v_[193] * x_in[11];
+ v_[235] = v_[196] * 0.057838 + v_[28] * -0.001243 + (0 - v_[178]) * -0.008386 + (0 - v_[182]) * -0.001387;
+ v_[232] = v_[178] * -0.012652;
+ v_[236] = 0 - v_[236] - v_[232];
+ v_[230] = v_[188] * 0.038686875 + v_[178] * 0.009277 + v_[183] * -0.000829 + v_[230] * 1.5e-05 + v_[192] * v_[78] +
+ v_[166] * v_[81] + v_[196] * 0.057838 + v_[28] * -0.001243 + v_[178] * 0.029115 + v_[182] * -0.001387;
+ v_[236] = v_[168] * -0.184 + v_[234] * v_[77] + v_[136] * v_[76] + v_[216] * v_[64] + v_[235] * v_[71] +
+ v_[212] * v_[58] + v_[236] * v_[55] + v_[236] * v_[55] - v_[230] * x_in[10];
+ v_[212] = v_[31] * 0.0036857284 + v_[28] * 0.077424;
+ v_[216] = (0 - v_[31]) * -0.0022920002 + v_[28] * -0.00021200017;
+ v_[188] = (0 - v_[28]) * -0.0022920002;
+ v_[183] = 0 - v_[188];
+ v_[203] = v_[203] * 0.02075 + v_[193] * v_[86] + v_[239] * v_[77] + v_[28] * 0.011046 + v_[178] * -0.001243 +
+ v_[182] * -0.012652 + v_[31] * 0.0036857284 + v_[28] * 0.081661;
+ v_[183] = v_[125] * v_[68] + v_[218] * v_[61] + v_[238] * v_[52] + v_[236] * v_[53] + v_[219] * v_[46] +
+ v_[225] * v_[64] + v_[212] * v_[47] + v_[216] * v_[32] + v_[183] * v_[35] + v_[183] * v_[35] +
+ v_[203] * x_in[9];
+ v_[232] = v_[232] + v_[237];
+ v_[232] = v_[168] * 0.02075 + v_[234] * v_[86] + v_[136] * v_[77] + v_[156] * v_[69] + v_[217] * v_[80] +
+ v_[204] * v_[58] + v_[235] * v_[55] + v_[232] * v_[71] + v_[232] * v_[71];
+ jac[62] = v_[190] * v_[90] + v_[207] * v_[69] + v_[230] * v_[56] + v_[206] * v_[58] + v_[232];
+ v_[235] = (0 - v_[31]) * 0.01404749 + (0 - v_[28]) * 0.0036857284;
+ v_[204] = v_[31] * -0.00021200017;
+ v_[217] = 0 - v_[204];
+ v_[156] = v_[190] * v_[68] + v_[207] * v_[61] + v_[230] * v_[52] + v_[206] * v_[53] + v_[31] * 0.01828449 +
+ v_[28] * 0.0036857284;
+ v_[217] = v_[232] + v_[223] * v_[46] + v_[221] * v_[44] + v_[235] * v_[47] + v_[216] * v_[35] + v_[217] * v_[32] +
+ v_[217] * v_[32] - v_[156] * x_in[9];
+ v_[232] = v_[142] * v_[43] + v_[199] * v_[42] +
+ (v_[190] * v_[67] + v_[207] * v_[60] + v_[230] * v_[53] + v_[206] * v_[54] + v_[31] * -0.0022920002 +
+ v_[28] * -0.00021200017) *
+ -1 -
+ 0.011715295;
+ v_[228] = v_[228] * -0.304 + v_[183] * v_[28] + v_[217] * v_[30] + 0.011715295 * v_[23] +
+ 0.00750500000000001 * v_[12] + -5.399998e-05 * v_[15] + -5.399998e-05 * v_[15] + v_[232] * x_in[8];
+ v_[204] = v_[204] + v_[188];
+ v_[204] = v_[125] * v_[67] + v_[218] * v_[60] + v_[238] * v_[53] + v_[236] * v_[54] + v_[220] * v_[44] +
+ v_[224] * v_[64] + v_[212] * v_[35] + v_[235] * v_[32] + v_[204] * v_[47] + v_[204] * v_[47];
+ jac[56] = v_[142] * v_[65] + v_[199] * v_[44] + v_[156] * v_[33] + v_[203] * v_[35] + v_[204];
+ v_[209] = v_[209] * -0.304 + v_[156] * v_[28] + v_[203] * v_[30] - 0.0037997814;
+ v_[204] = v_[222] * v_[43] + v_[226] * v_[42] + v_[204] * -1 + -0.0037997814 * v_[23] +
+ 0.00750500000000001 * v_[15] + 5.399998e-05 * v_[12] + 5.399998e-05 * v_[12] - v_[209] * x_in[8];
+ v_[235] = v_[156] * v_[31] + v_[203] * v_[28] + 0.010329999;
+ v_[212] = v_[227] * v_[19] + v_[229] * v_[18] + v_[228] * v_[9] + v_[204] * v_[10] + v_[235] * x_in[7];
+ v_[39] = v_[183] * v_[31] + v_[217] * v_[28] + 0.01438086 * v_[21] + -0.0055615274403 * v_[39] +
+ 0.011715295 * v_[15] + -0.0037997814 * v_[12];
+ jac[50] = v_[191] * v_[40] + v_[194] * v_[21] + v_[209] * v_[13] + v_[232] * v_[15] + v_[39];
+ v_[224] = v_[191] * v_[19] + v_[194] * v_[18] + v_[209] * v_[9] + v_[232] * v_[10];
+ jac[44] =
+ v_[227] * v_[20] + v_[229] * v_[38] + v_[228] * v_[10] + v_[204] * v_[11] + v_[224] * v_[2] + v_[235] * v_[5];
+ v_[224] = v_[39] - v_[224] * x_in[7];
+ jac[8] = 0 - ((v_[191] * v_[9] + v_[194] * v_[10]) * 9.81 + v_[212] * x_in[6]) * v_[151] +
+ ((v_[142] * v_[63] + v_[199] * v_[28]) * 9.81 + v_[224] * x_in[6]) * v_[157];
+ jac[38] = v_[212] * v_[4] + v_[224] * v_[0];
+ v_[224] = v_[67] + v_[54] * -0.184;
+ v_[212] = v_[54] * v_[77];
+ v_[39] = v_[224] * 1.547475 + v_[212] * -0.038686875;
+ v_[235] = v_[39] + v_[67] * 2.1032 + v_[54] * -0.057838;
+ v_[220] = v_[60] * v_[77] + v_[53] * v_[78];
+ v_[188] = v_[220] * 1.547475 + v_[53] * 0.038686875;
+ v_[216] = v_[60] * v_[76] + v_[53] * v_[81];
+ v_[223] = v_[216] * 1.547475;
+ v_[221] = v_[188] * v_[77] + v_[223] * v_[76] + v_[60] * 2.1032 + v_[53] * 0.057838;
+ v_[168] = v_[235] * v_[52] + v_[221] * v_[53] + 0.160298259823722;
+ v_[237] = v_[188] * v_[79] + v_[223] * v_[77] + 0.008711861;
+ v_[225] = v_[168] * v_[28] + v_[237] * v_[30];
+ v_[219] = v_[235] * v_[53] + v_[221] * v_[62];
+ v_[213] = v_[219] * -1;
+ v_[202] = v_[216] * 1.547475;
+ v_[233] = v_[220] * -1.547475;
+ v_[231] = v_[53] * 0.038686875;
+ v_[134] = v_[233] - v_[231];
+ v_[186] = v_[202] * v_[87] + v_[134] * v_[85];
+ v_[197] = v_[60] * 2.1032 + v_[53] * 0.057838;
+ v_[240] = 0 - v_[197];
+ v_[241] = v_[186] + v_[240] * v_[71] + v_[221] * x_in[10];
+ v_[242] = 0 - v_[202];
+ v_[243] = v_[224] * 1.547475 + (0 - v_[212]) * 0.038686875;
+ v_[244] = v_[242] * v_[91] + v_[243] * v_[85] + v_[223] * x_in[11];
+ v_[231] = 0 - v_[233] + v_[231];
+ v_[233] = 0 - v_[243];
+ v_[245] = v_[231] * v_[91] + v_[233] * v_[87] - v_[188] * x_in[11];
+ v_[246] = v_[67] * -2.1032 + v_[54] * 0.057838;
+ v_[247] = 0 - v_[246];
+ v_[248] = v_[244] * v_[77] + v_[245] * v_[76] + v_[247] * v_[71] - v_[235] * x_in[10];
+ v_[249] = v_[241] * v_[52] + v_[248] * v_[53] + -0.008711861 * v_[47] + v_[237] * x_in[9];
+ v_[250] = v_[244] * v_[79] + v_[245] * v_[77] + v_[197] * v_[58] + v_[246] * v_[55] + 0.160298259823722 * v_[47] -
+ v_[168] * x_in[9];
+ v_[251] = v_[249] * v_[28] + v_[250] * v_[30] + v_[213] * x_in[8];
+ v_[252] = v_[241] * v_[53] + v_[248] * v_[62] + 0.008711861 * v_[35] + -0.160298259823722 * v_[32];
+ v_[253] = v_[252] * -1 - v_[225] * x_in[8];
+ v_[254] = v_[54] * v_[76];
+ v_[255] = (0 - v_[53]) * 1.5e-05 + v_[212] * 0.000198 + v_[254] * 0.00605;
+ v_[256] = v_[224] * 0.038686875 + v_[53] * -0.000829 + (0 - v_[212]) * -0.00146 + (0 - v_[254]) * 0.000198;
+ v_[216] = (0 - v_[216]) * 0.038686875;
+ v_[257] = v_[212] * 1.5e-05;
+ v_[258] = (0 - v_[254]) * -0.000829;
+ v_[259] = v_[216] + v_[257] + v_[258];
+ v_[259] =
+ v_[242] * v_[94] + v_[231] * v_[82] + v_[255] * v_[87] + v_[256] * v_[85] + v_[259] * v_[91] + v_[259] * v_[91];
+ v_[231] = v_[67] * 0.057838 + v_[53] * -0.001387 + v_[54] * -0.018069;
+ v_[242] = (0 - v_[53]) * -0.001243 + v_[54] * -0.012652;
+ v_[260] = (0 - v_[54]) * -0.001243;
+ v_[261] = 0 - v_[260];
+ v_[224] = v_[224] * -0.038686875 + v_[53] * -0.000829 + v_[212] * 0.003227 + v_[254] * 0.000198;
+ v_[262] = v_[53] * 1.5e-05 + v_[212] * 0.000198 + v_[254] * 0.010737;
+ jac[69] = v_[188] * v_[83] + v_[223] * v_[94] + v_[224] * v_[98] + v_[262] * v_[87] + v_[259];
+ v_[263] = v_[39] * -0.184 + v_[224] * v_[77] + v_[262] * v_[76] + v_[67] * -0.057838 + v_[53] * -0.001387 +
+ v_[54] * 0.019432;
+ v_[261] = v_[259] + v_[244] * v_[78] + v_[245] * v_[81] + v_[197] * v_[64] + v_[231] * v_[71] + v_[242] * v_[55] +
+ v_[261] * v_[58] + v_[261] * v_[58] + v_[263] * x_in[10];
+ v_[259] = v_[220] * 0.038686875 + v_[53] * -0.00751 + (0 - v_[212]) * -0.000829 + v_[254] * 1.5e-05;
+ v_[197] = (0 - v_[53]) * 0.000198;
+ v_[258] = v_[216] + v_[197] - v_[258];
+ v_[258] = v_[202] * v_[89] + v_[233] * v_[82] + v_[255] * v_[91] + v_[259] * v_[85] + v_[258] * v_[87] +
+ v_[258] * v_[87] + v_[262] * x_in[11];
+ v_[197] = 0 - v_[197] - v_[257];
+ v_[197] = v_[134] * v_[89] + v_[243] * v_[94] + v_[256] * v_[91] + v_[259] * v_[87] + v_[197] * v_[85] +
+ v_[197] * v_[85] - v_[224] * x_in[11];
+ v_[259] = v_[60] * 0.057838 + (0 - v_[53]) * -0.008386 + (0 - v_[54]) * -0.001387;
+ v_[256] = v_[53] * -0.012652;
+ v_[243] = 0 - v_[256];
+ v_[254] = v_[220] * 0.038686875 + v_[53] * 0.009277 + v_[212] * -0.000829 + v_[254] * 1.5e-05 + v_[188] * v_[78] +
+ v_[223] * v_[81] + v_[60] * 0.057838 + v_[53] * 0.029115 + v_[54] * -0.001387;
+ v_[243] = v_[186] * -0.184 + v_[258] * v_[77] + v_[197] * v_[76] + v_[246] * v_[64] + v_[259] * v_[71] +
+ v_[242] * v_[58] + v_[243] * v_[55] + v_[243] * v_[55] - v_[254] * x_in[10];
+ v_[39] = v_[39] * 0.02075 + v_[224] * v_[86] + v_[262] * v_[77] + v_[53] * -0.001243 + v_[54] * -0.012652 -
+ 0.00021200017;
+ v_[242] = v_[241] * v_[68] + v_[248] * v_[61] + v_[261] * v_[52] + v_[243] * v_[53] + 0.008711861 * v_[46] +
+ 0.00021200017 * v_[47] + -0.06337651 * v_[32] + -0.0036857284 * v_[35] + -0.0036857284 * v_[35] +
+ v_[39] * x_in[9];
+ v_[256] = v_[256] + v_[260];
+ v_[256] = v_[186] * 0.02075 + v_[258] * v_[86] + v_[197] * v_[77] + v_[240] * v_[69] + v_[247] * v_[80] +
+ v_[231] * v_[58] + v_[259] * v_[55] + v_[256] * v_[71] + v_[256] * v_[71];
+ jac[63] = v_[235] * v_[90] + v_[221] * v_[69] + v_[254] * v_[56] + v_[263] * v_[58] + v_[256];
+ v_[259] = v_[235] * v_[68] + v_[221] * v_[61] + v_[254] * v_[52] + v_[263] * v_[53] - 0.0022920002;
+ v_[256] = v_[256] + -0.160298259823722 * v_[46] + -0.0022920002 * v_[47] + -0.06337651 * v_[35] +
+ 0.0036857284 * v_[32] + 0.0036857284 * v_[32] - v_[259] * x_in[9];
+ v_[231] = v_[168] * v_[43] + v_[237] * v_[42] +
+ (v_[235] * v_[67] + v_[221] * v_[60] + v_[254] * v_[53] + v_[263] * v_[54] + 0.09570849) * -1;
+ v_[252] = v_[252] * -0.304 + v_[242] * v_[28] + v_[256] * v_[30] + v_[231] * x_in[8];
+ v_[32] = v_[241] * v_[67] + v_[248] * v_[60] + v_[261] * v_[53] + v_[243] * v_[54] + -0.008711861 * v_[44] +
+ 0.160298259823722 * v_[64] + 0.00021200017 * v_[35] + -0.0022920002 * v_[32];
+ jac[57] = v_[168] * v_[65] + v_[237] * v_[44] + v_[259] * v_[33] + v_[39] * v_[35] + v_[32];
+ v_[219] = v_[219] * -0.304 + v_[259] * v_[28] + v_[39] * v_[30];
+ v_[32] = v_[249] * v_[43] + v_[250] * v_[42] + v_[32] * -1 - v_[219] * x_in[8];
+ v_[247] = v_[259] * v_[31] + v_[39] * v_[28];
+ v_[240] = v_[251] * v_[19] + v_[253] * v_[18] + v_[252] * v_[9] + v_[32] * v_[10] + v_[247] * x_in[7];
+ v_[186] = v_[242] * v_[31] + v_[256] * v_[28];
+ jac[51] = v_[225] * v_[40] + v_[213] * v_[21] + v_[219] * v_[13] + v_[231] * v_[15] + v_[186];
+ v_[260] = v_[225] * v_[19] + v_[213] * v_[18] + v_[219] * v_[9] + v_[231] * v_[10];
+ jac[45] =
+ v_[251] * v_[20] + v_[253] * v_[38] + v_[252] * v_[10] + v_[32] * v_[11] + v_[260] * v_[2] + v_[247] * v_[5];
+ v_[260] = v_[186] - v_[260] * x_in[7];
+ jac[9] = 0 - ((v_[225] * v_[9] + v_[213] * v_[10]) * 9.81 + v_[240] * x_in[6]) * v_[151] +
+ ((v_[168] * v_[63] + v_[237] * v_[28]) * 9.81 + v_[260] * x_in[6]) * v_[157];
+ jac[39] = v_[240] * v_[4] + v_[260] * v_[0];
+ v_[260] = 0.03211010625 + v_[86] * -0.038686875;
+ v_[240] = v_[260] * v_[52];
+ v_[186] = v_[240] * v_[28];
+ v_[247] = v_[260] * v_[53];
+ v_[246] = v_[247] * -1;
+ v_[220] = 0.03211010625 + (0 - v_[86]) * 0.038686875;
+ v_[212] = v_[220] * v_[85];
+ v_[134] = 0 - v_[220];
+ v_[257] = v_[134] * v_[87];
+ v_[255] = v_[212] * v_[77] + v_[257] * v_[76] - v_[260] * x_in[10];
+ v_[233] = v_[255] * v_[53];
+ v_[202] = v_[212] * v_[79] + v_[257] * v_[77] - v_[240] * x_in[9];
+ v_[216] = v_[233] * v_[28] + v_[202] * v_[30] + v_[246] * x_in[8];
+ v_[264] = v_[255] * v_[62];
+ v_[265] = v_[264] * -1 - v_[186] * x_in[8];
+ v_[266] = v_[86] * 0.000198 + v_[77] * 0.00605;
+ v_[267] = 0.00080275265625 + (0 - v_[86]) * -0.00146 + (0 - v_[77]) * 0.000198;
+ v_[268] = v_[86] * 1.5e-05;
+ v_[269] = (0 - v_[77]) * -0.000829;
+ v_[270] = v_[268] + v_[269];
+ v_[270] = v_[266] * v_[87] + v_[267] * v_[85] + v_[270] * v_[91] + v_[270] * v_[91];
+ v_[271] = -0.00080275265625 + v_[86] * 0.003227 + v_[77] * 0.000198;
+ v_[272] = v_[86] * 0.000198 + v_[77] * 0.010737;
+ jac[70] = v_[271] * v_[98] + v_[272] * v_[87] + v_[270];
+ v_[273] = v_[260] * -0.184 + v_[271] * v_[77] + v_[272] * v_[76] - 0.012652;
+ v_[270] = v_[270] + v_[212] * v_[78] + v_[257] * v_[81] + 0.012652 * v_[71] + 0.009683 * v_[55] +
+ 0.001387 * v_[58] + 0.001387 * v_[58] + v_[273] * x_in[10];
+ v_[274] = (0 - v_[86]) * -0.000829 + v_[77] * 1.5e-05;
+ v_[269] = 0 - v_[269];
+ v_[269] = v_[134] * v_[82] + v_[266] * v_[91] + v_[274] * v_[85] + v_[269] * v_[87] + v_[269] * v_[87] +
+ v_[272] * x_in[11];
+ v_[268] = 0 - v_[268];
+ v_[268] = v_[220] * v_[94] + v_[267] * v_[91] + v_[274] * v_[87] + v_[268] * v_[85] + v_[268] * v_[85] -
+ v_[271] * x_in[11];
+ v_[274] = v_[86] * -0.000829 + v_[77] * 1.5e-05 - 0.001243;
+ v_[267] = v_[269] * v_[77] + v_[268] * v_[76] + -0.001243 * v_[71] + 0.009683 * v_[58] + -0.001387 * v_[55] +
+ -0.001387 * v_[55] - v_[274] * x_in[10];
+ v_[220] = v_[260] * 0.02075 + v_[271] * v_[86] + v_[272] * v_[77] + 0.011046;
+ v_[94] = v_[255] * v_[61] + v_[270] * v_[52] + v_[267] * v_[53] + v_[220] * x_in[9];
+ v_[266] = v_[269] * v_[86] + v_[268] * v_[77] + 0.012652 * v_[58] + -0.001243 * v_[55];
+ jac[64] = v_[260] * v_[90] + v_[274] * v_[56] + v_[273] * v_[58] + v_[266];
+ v_[90] = v_[260] * v_[68] + v_[274] * v_[52] + v_[273] * v_[53];
+ v_[266] = v_[266] - v_[90] * x_in[9];
+ v_[134] = v_[240] * v_[43] + (v_[260] * v_[67] + v_[274] * v_[53] + v_[273] * v_[54]) * -1;
+ v_[264] = v_[264] * -0.304 + v_[94] * v_[28] + v_[266] * v_[30] + v_[134] * x_in[8];
+ v_[275] = v_[255] * v_[60] + v_[270] * v_[53] + v_[267] * v_[54];
+ jac[58] = v_[240] * v_[65] + v_[90] * v_[33] + v_[220] * v_[35] + v_[275];
+ v_[247] = v_[247] * -0.304 + v_[90] * v_[28] + v_[220] * v_[30];
+ v_[275] = v_[233] * v_[43] + v_[202] * v_[42] + v_[275] * -1 - v_[247] * x_in[8];
+ v_[276] = v_[90] * v_[31] + v_[220] * v_[28];
+ v_[277] = v_[216] * v_[19] + v_[265] * v_[18] + v_[264] * v_[9] + v_[275] * v_[10] + v_[276] * x_in[7];
+ v_[278] = v_[94] * v_[31] + v_[266] * v_[28];
+ jac[52] = v_[186] * v_[40] + v_[246] * v_[21] + v_[247] * v_[13] + v_[134] * v_[15] + v_[278];
+ v_[279] = v_[186] * v_[19] + v_[246] * v_[18] + v_[247] * v_[9] + v_[134] * v_[10];
+ jac[46] =
+ v_[216] * v_[20] + v_[265] * v_[38] + v_[264] * v_[10] + v_[275] * v_[11] + v_[279] * v_[2] + v_[276] * v_[5];
+ v_[279] = v_[278] - v_[279] * x_in[7];
+ jac[10] = 0 - ((v_[186] * v_[9] + v_[246] * v_[10]) * 9.81 + v_[277] * x_in[6]) * v_[151] +
+ (v_[240] * v_[63] * 9.81 + v_[279] * x_in[6]) * v_[157];
+ jac[40] = v_[277] * v_[4] + v_[279] * v_[0];
+ v_[279] = 0.038686875 * v_[77];
+ v_[277] = v_[279] * v_[53];
+ v_[79] = 0.038686875 * v_[79];
+ v_[278] = v_[277] * v_[28] + v_[79] * v_[30];
+ v_[276] = v_[279] * v_[62];
+ v_[280] = v_[276] * -1;
+ v_[281] = -0.038686875 * v_[85];
+ v_[282] = v_[281] + v_[279] * x_in[10];
+ v_[283] = 0.038686875 * v_[91] - 0.038686875 * x_in[11];
+ v_[284] = v_[283] * v_[76];
+ v_[285] = v_[282] * v_[52] + v_[284] * v_[53] + v_[79] * x_in[9];
+ v_[286] = v_[283] * v_[77] - v_[277] * x_in[9];
+ v_[287] = v_[285] * v_[28] + v_[286] * v_[30] + v_[280] * x_in[8];
+ v_[62] = v_[282] * v_[53] + v_[284] * v_[62];
+ v_[288] = v_[62] * -1 - v_[278] * x_in[8];
+ v_[82] = 0.038686875 * v_[82] + -1.5e-05 * v_[87] + -0.000829 * v_[85];
+ jac[71] = 0.038686875 * v_[83] + -0.000829 * v_[98] + 1.5e-05 * v_[87] + v_[82];
+ v_[98] = -0.000829 * v_[77] + 1.5e-05 * v_[76];
+ v_[82] = v_[82] + v_[283] * v_[81] + v_[98] * x_in[10];
+ v_[81] = -1.5e-05 * v_[91] + -0.00751 * v_[85] + -0.000198 * v_[87] + -0.000198 * v_[87] + 1.5e-05 * x_in[11];
+ v_[91] = -0.038686875 * v_[89] + -0.000829 * v_[91] + -0.00751 * v_[87] + 0.000198 * v_[85] + 0.000198 * v_[85] -
+ -0.000829 * x_in[11];
+ v_[78] = 0.009277 + 0.038686875 * v_[78];
+ v_[76] = v_[281] * -0.184 + v_[81] * v_[77] + v_[91] * v_[76] - v_[78] * x_in[10];
+ v_[89] = -0.000829 * v_[86] + 1.5e-05 * v_[77];
+ v_[68] = v_[282] * v_[68] + v_[284] * v_[61] + v_[82] * v_[52] + v_[76] * v_[53] + v_[89] * x_in[9];
+ v_[281] = v_[281] * 0.02075 + v_[81] * v_[86] + v_[91] * v_[77];
+ jac[65] = v_[279] * v_[69] + v_[78] * v_[56] + v_[98] * v_[58] + v_[281];
+ v_[61] = v_[279] * v_[61] + v_[78] * v_[52] + v_[98] * v_[53];
+ v_[281] = v_[281] - v_[61] * x_in[9];
+ v_[52] = v_[277] * v_[43] + v_[79] * v_[42] + (v_[279] * v_[60] + v_[78] * v_[53] + v_[98] * v_[54]) * -1;
+ v_[62] = v_[62] * -0.304 + v_[68] * v_[28] + v_[281] * v_[30] + v_[52] * x_in[8];
+ v_[67] = v_[282] * v_[67] + v_[284] * v_[60] + v_[82] * v_[53] + v_[76] * v_[54];
+ jac[59] = v_[277] * v_[65] + v_[79] * v_[44] + v_[61] * v_[33] + v_[89] * v_[35] + v_[67];
+ v_[276] = v_[276] * -0.304 + v_[61] * v_[28] + v_[89] * v_[30];
+ v_[67] = v_[285] * v_[43] + v_[286] * v_[42] + v_[67] * -1 - v_[276] * x_in[8];
+ v_[43] = v_[61] * v_[31] + v_[89] * v_[28];
+ v_[42] = v_[287] * v_[19] + v_[288] * v_[18] + v_[62] * v_[9] + v_[67] * v_[10] + v_[43] * x_in[7];
+ v_[30] = v_[68] * v_[31] + v_[281] * v_[28];
+ jac[53] = v_[278] * v_[40] + v_[280] * v_[21] + v_[276] * v_[13] + v_[52] * v_[15] + v_[30];
+ v_[19] = v_[278] * v_[19] + v_[280] * v_[18] + v_[276] * v_[9] + v_[52] * v_[10];
+ jac[47] = v_[287] * v_[20] + v_[288] * v_[38] + v_[62] * v_[10] + v_[67] * v_[11] + v_[19] * v_[2] + v_[43] * v_[5];
+ v_[19] = v_[30] - v_[19] * x_in[7];
+ jac[11] = 0 - ((v_[278] * v_[9] + v_[280] * v_[10]) * 9.81 + v_[42] * x_in[6]) * v_[151] +
+ ((v_[277] * v_[63] + v_[79] * v_[28]) * 9.81 + v_[19] * x_in[6]) * v_[157];
+ jac[41] = v_[42] * v_[4] + v_[19] * v_[0];
+ v_[19] = sin(x_in[2]);
+ v_[42] = cos(x_in[2]);
+ jac[12] = 0 -
+ (v_[4] * v_[109] + v_[130] * v_[17] + v_[131] * v_[3] + v_[137] * v_[5] + v_[162] * x_in[7] * 0.112 +
+ (v_[4] * v_[84] + v_[132] * v_[3] + v_[164] * v_[5]) * 0.112 - v_[152] * x_in[7]) *
+ v_[19] +
+ (v_[4] * v_[105] + v_[132] * v_[17] + v_[173] * v_[3] + v_[137] * x_in[7] + v_[152] * v_[5] +
+ (v_[4] * v_[111] + v_[130] * v_[3] + v_[162] * v_[5]) * -0.112 + v_[164] * x_in[7] * 0.112) *
+ v_[42];
+ jac[13] = 0 -
+ (v_[155] * v_[17] + v_[158] * v_[3] + v_[138] * v_[5] + (v_[111] + v_[198] * x_in[7]) * 0.112 +
+ (v_[150] * v_[3] + v_[200] * v_[5]) * 0.112 - (v_[105] + v_[187] * x_in[7])) *
+ v_[19] +
+ (v_[109] + v_[150] * v_[17] + v_[133] * v_[3] + v_[138] * x_in[7] + v_[187] * v_[5] +
+ (v_[155] * v_[3] + v_[198] * v_[5]) * -0.112 + (v_[84] + v_[200] * x_in[7]) * 0.112) *
+ v_[42];
+ jac[14] = 0 -
+ (v_[191] * v_[17] + v_[209] * v_[3] + v_[228] * v_[5] + v_[227] * x_in[7] * 0.112 +
+ (v_[194] * v_[3] + v_[229] * v_[5]) * 0.112 - v_[204] * x_in[7]) *
+ v_[19] +
+ (v_[194] * v_[17] + v_[232] * v_[3] + v_[228] * x_in[7] + v_[204] * v_[5] +
+ (v_[191] * v_[3] + v_[227] * v_[5]) * -0.112 + v_[229] * x_in[7] * 0.112) *
+ v_[42];
+ jac[15] = 0 -
+ (v_[225] * v_[17] + v_[219] * v_[3] + v_[252] * v_[5] + v_[251] * x_in[7] * 0.112 +
+ (v_[213] * v_[3] + v_[253] * v_[5]) * 0.112 - v_[32] * x_in[7]) *
+ v_[19] +
+ (v_[213] * v_[17] + v_[231] * v_[3] + v_[252] * x_in[7] + v_[32] * v_[5] +
+ (v_[225] * v_[3] + v_[251] * v_[5]) * -0.112 + v_[253] * x_in[7] * 0.112) *
+ v_[42];
+ jac[16] = 0 -
+ (v_[186] * v_[17] + v_[247] * v_[3] + v_[264] * v_[5] + v_[216] * x_in[7] * 0.112 +
+ (v_[246] * v_[3] + v_[265] * v_[5]) * 0.112 - v_[275] * x_in[7]) *
+ v_[19] +
+ (v_[246] * v_[17] + v_[134] * v_[3] + v_[264] * x_in[7] + v_[275] * v_[5] +
+ (v_[186] * v_[3] + v_[216] * v_[5]) * -0.112 + v_[265] * x_in[7] * 0.112) *
+ v_[42];
+ jac[17] = 0 -
+ (v_[278] * v_[17] + v_[276] * v_[3] + v_[62] * v_[5] + v_[287] * x_in[7] * 0.112 +
+ (v_[280] * v_[3] + v_[288] * v_[5]) * 0.112 - v_[67] * x_in[7]) *
+ v_[19] +
+ (v_[280] * v_[17] + v_[52] * v_[3] + v_[62] * x_in[7] + v_[67] * v_[5] +
+ (v_[278] * v_[3] + v_[287] * v_[5]) * -0.112 + v_[288] * x_in[7] * 0.112) *
+ v_[42];
+ v_[42] = sin(x_in[3]);
+ v_[19] = cos(x_in[3]);
+ jac[18] =
+ 0 -
+ (v_[101] * v_[112] + v_[0] * v_[108] + v_[96] * v_[100] + v_[128] * v_[41] + v_[129] * v_[7] +
+ v_[140] * v_[14] + v_[118] * v_[6] + v_[153] * v_[21] + v_[143] * v_[15] + v_[117] * v_[23] +
+ (v_[51] * v_[112] + v_[128] * v_[16] + v_[153] * v_[12]) * -0.304) *
+ v_[42] +
+ (v_[101] * v_[107] + v_[96] * v_[108] + v_[129] * v_[41] + v_[118] * v_[14] + v_[159] * v_[21] +
+ v_[117] * v_[15] - v_[128] * v_[7] + (v_[51] * v_[107] + v_[129] * v_[16] + v_[159] * v_[12]) * -0.304 -
+ (v_[0] * v_[100] + v_[140] * v_[6] + v_[143] * v_[23])) *
+ v_[19];
+ jac[19] =
+ 0 -
+ (v_[20] * v_[112] + v_[10] * v_[100] + v_[123] * v_[41] + v_[163] * v_[7] + v_[176] * v_[14] + v_[25] * v_[6] +
+ v_[189] * v_[21] + v_[179] * v_[15] + v_[27] * v_[23] +
+ (v_[11] * v_[112] + v_[123] * v_[16] + v_[189] * v_[12]) * -0.304) *
+ v_[42] +
+ (v_[20] * v_[107] + v_[10] * v_[108] + v_[163] * v_[41] + v_[25] * v_[14] + v_[195] * v_[21] + v_[27] * v_[15] -
+ v_[123] * v_[7] + (v_[11] * v_[107] + v_[163] * v_[16] + v_[195] * v_[12]) * -0.304 -
+ (v_[176] * v_[6] + v_[179] * v_[23])) *
+ v_[19];
+ jac[20] = 0 -
+ (v_[108] + v_[142] * v_[41] + v_[199] * v_[7] + v_[156] * v_[14] + v_[203] * v_[6] + v_[222] * v_[21] +
+ v_[183] * v_[15] + v_[217] * v_[23] + (v_[142] * v_[16] + v_[222] * v_[12]) * -0.304) *
+ v_[42] +
+ (v_[199] * v_[41] + v_[203] * v_[14] + v_[226] * v_[21] + v_[217] * v_[15] - v_[142] * v_[7] +
+ (v_[199] * v_[16] + v_[226] * v_[12]) * -0.304 - (v_[100] + v_[156] * v_[6] + v_[183] * v_[23])) *
+ v_[19];
+ jac[21] = 0 -
+ (v_[168] * v_[41] + v_[237] * v_[7] + v_[259] * v_[14] + v_[39] * v_[6] + v_[249] * v_[21] +
+ v_[242] * v_[15] + v_[256] * v_[23] + (v_[168] * v_[16] + v_[249] * v_[12]) * -0.304) *
+ v_[42] +
+ (v_[237] * v_[41] + v_[39] * v_[14] + v_[250] * v_[21] + v_[256] * v_[15] - v_[168] * v_[7] +
+ (v_[237] * v_[16] + v_[250] * v_[12]) * -0.304 - (v_[259] * v_[6] + v_[242] * v_[23])) *
+ v_[19];
+ jac[22] = 0 -
+ (v_[240] * v_[41] + v_[90] * v_[14] + v_[220] * v_[6] + v_[233] * v_[21] + v_[94] * v_[15] +
+ v_[266] * v_[23] + (v_[240] * v_[16] + v_[233] * v_[12]) * -0.304) *
+ v_[42] +
+ (v_[220] * v_[14] + v_[202] * v_[21] + v_[266] * v_[15] - v_[240] * v_[7] + v_[202] * v_[12] * -0.304 -
+ (v_[90] * v_[6] + v_[94] * v_[23])) *
+ v_[19];
+ jac[23] = 0 -
+ (v_[277] * v_[41] + v_[79] * v_[7] + v_[61] * v_[14] + v_[89] * v_[6] + v_[285] * v_[21] +
+ v_[68] * v_[15] + v_[281] * v_[23] + (v_[277] * v_[16] + v_[285] * v_[12]) * -0.304) *
+ v_[42] +
+ (v_[79] * v_[41] + v_[89] * v_[14] + v_[286] * v_[21] + v_[281] * v_[15] - v_[277] * v_[7] +
+ (v_[79] * v_[16] + v_[286] * v_[12]) * -0.304 - (v_[61] * v_[6] + v_[68] * v_[23])) *
+ v_[19];
+ v_[19] = sin(x_in[4]);
+ v_[42] = cos(x_in[4]);
+ jac[24] =
+ 0 -
+ (v_[49] * v_[106] + v_[50] * v_[92] + v_[119] * v_[66] + v_[165] * v_[34] + v_[141] * v_[44] +
+ v_[174] * v_[35] + (v_[48] * v_[106] + v_[119] * v_[29] + v_[141] * v_[47]) * 0.112 -
+ (v_[99] * v_[72] + v_[127] * v_[37] + v_[149] * v_[46]) +
+ (v_[50] * v_[72] + v_[127] * v_[34] + v_[149] * v_[35]) * 0.112 -
+ (v_[48] * v_[74] + v_[113] * v_[29] + v_[172] * v_[47])) *
+ v_[19] +
+ (v_[99] * v_[106] + v_[49] * v_[72] + v_[48] * v_[92] + v_[50] * v_[74] + v_[119] * v_[37] + v_[127] * v_[66] +
+ v_[165] * v_[29] + v_[113] * v_[34] + v_[141] * v_[46] + v_[149] * v_[44] + v_[174] * v_[47] +
+ v_[172] * v_[35] + (v_[50] * v_[106] + v_[119] * v_[34] + v_[141] * v_[35]) * -0.112 +
+ (v_[48] * v_[72] + v_[127] * v_[29] + v_[149] * v_[47]) * 0.112) *
+ v_[42];
+ jac[25] =
+ 0 -
+ (v_[161] * v_[106] + v_[26] * v_[92] + v_[24] * v_[66] + v_[201] * v_[34] + v_[177] * v_[44] +
+ v_[210] * v_[35] + (v_[88] * v_[106] + v_[24] * v_[29] + v_[177] * v_[47]) * 0.112 -
+ (v_[154] * v_[72] + v_[171] * v_[37] + v_[185] * v_[46]) +
+ (v_[26] * v_[72] + v_[171] * v_[34] + v_[185] * v_[35]) * 0.112 -
+ (v_[88] * v_[74] + v_[75] * v_[29] + v_[208] * v_[47])) *
+ v_[19] +
+ (v_[154] * v_[106] + v_[161] * v_[72] + v_[88] * v_[92] + v_[26] * v_[74] + v_[24] * v_[37] + v_[171] * v_[66] +
+ v_[201] * v_[29] + v_[75] * v_[34] + v_[177] * v_[46] + v_[185] * v_[44] + v_[210] * v_[47] +
+ v_[208] * v_[35] + (v_[26] * v_[106] + v_[24] * v_[34] + v_[177] * v_[35]) * -0.112 +
+ (v_[88] * v_[72] + v_[171] * v_[29] + v_[185] * v_[47]) * 0.112) *
+ v_[42];
+ jac[26] =
+ 0 -
+ (v_[31] * v_[92] + v_[190] * v_[66] + v_[230] * v_[34] + v_[125] * v_[44] + v_[238] * v_[35] +
+ (v_[190] * v_[29] + v_[125] * v_[47]) * 0.112 - (v_[207] * v_[37] + v_[218] * v_[46]) +
+ (v_[31] * v_[72] + v_[207] * v_[34] + v_[218] * v_[35]) * 0.112 - (v_[206] * v_[29] + v_[236] * v_[47])) *
+ v_[19] +
+ (v_[31] * v_[74] + v_[190] * v_[37] + v_[207] * v_[66] + v_[230] * v_[29] + v_[206] * v_[34] +
+ v_[125] * v_[46] + v_[218] * v_[44] + v_[238] * v_[47] + v_[236] * v_[35] +
+ (v_[31] * v_[106] + v_[190] * v_[34] + v_[125] * v_[35]) * -0.112 +
+ (v_[207] * v_[29] + v_[218] * v_[47]) * 0.112) *
+ v_[42];
+ jac[27] =
+ 0 -
+ (v_[235] * v_[66] + v_[254] * v_[34] + v_[241] * v_[44] + v_[261] * v_[35] +
+ (v_[106] + v_[235] * v_[29] + v_[241] * v_[47]) * 0.112 - (v_[221] * v_[37] + v_[248] * v_[46]) +
+ (v_[221] * v_[34] + v_[248] * v_[35]) * 0.112 - (v_[74] + v_[263] * v_[29] + v_[243] * v_[47])) *
+ v_[19] +
+ (v_[92] + v_[235] * v_[37] + v_[221] * v_[66] + v_[254] * v_[29] + v_[263] * v_[34] + v_[241] * v_[46] +
+ v_[248] * v_[44] + v_[261] * v_[47] + v_[243] * v_[35] + (v_[235] * v_[34] + v_[241] * v_[35]) * -0.112 +
+ (v_[72] + v_[221] * v_[29] + v_[248] * v_[47]) * 0.112) *
+ v_[42];
+ jac[28] = 0 -
+ (v_[260] * v_[66] + v_[274] * v_[34] + v_[270] * v_[35] + v_[260] * v_[29] * 0.112 - v_[255] * v_[46] +
+ v_[255] * v_[35] * 0.112 - (v_[273] * v_[29] + v_[267] * v_[47])) *
+ v_[19] +
+ (v_[260] * v_[37] + v_[274] * v_[29] + v_[273] * v_[34] + v_[255] * v_[44] + v_[270] * v_[47] +
+ v_[267] * v_[35] + v_[260] * v_[34] * -0.112 + v_[255] * v_[47] * 0.112) *
+ v_[42];
+ jac[29] =
+ 0 -
+ (v_[78] * v_[34] + v_[282] * v_[44] + v_[82] * v_[35] + v_[282] * v_[47] * 0.112 -
+ (v_[279] * v_[37] + v_[284] * v_[46]) + (v_[279] * v_[34] + v_[284] * v_[35]) * 0.112 -
+ (v_[98] * v_[29] + v_[76] * v_[47])) *
+ v_[19] +
+ (v_[279] * v_[66] + v_[78] * v_[29] + v_[98] * v_[34] + v_[282] * v_[46] + v_[284] * v_[44] + v_[82] * v_[47] +
+ v_[76] * v_[35] + v_[282] * v_[35] * -0.112 + (v_[279] * v_[29] + v_[284] * v_[47]) * 0.112) *
+ v_[42];
+ v_[42] = v_[122] * v_[93] + v_[124] * v_[57] + v_[144] * v_[58];
+ v_[122] = v_[122] * v_[97] + v_[126] * v_[57] + v_[145] * v_[58];
+ v_[19] = sin(x_in[5]);
+ v_[76] = cos(x_in[5]);
+ jac[30] = 0 -
+ (v_[120] * v_[97] + v_[121] * v_[93] + v_[114] * v_[102] + v_[115] * v_[103] + v_[124] * v_[70] +
+ v_[126] * v_[45] + v_[116] * v_[59] + v_[175] * v_[36] + v_[144] * v_[80] + v_[145] * v_[64] +
+ v_[169] * v_[55] + v_[148] * v_[71] + v_[42] * 0.184 + (0 - v_[122]) * 0.02075) *
+ v_[19] +
+ (v_[121] * v_[97] + v_[115] * v_[102] + v_[126] * v_[70] + v_[175] * v_[59] + v_[145] * v_[80] +
+ v_[148] * v_[55] - (v_[120] * v_[93] + v_[124] * v_[45] + v_[144] * v_[64]) + v_[42] * 0.02075 +
+ v_[122] * 0.184 - (v_[114] * v_[103] + v_[116] * v_[36] + v_[169] * v_[71])) *
+ v_[76];
+ v_[122] = v_[147] * v_[93] + v_[139] * v_[57] + v_[180] * v_[58];
+ v_[147] = v_[147] * v_[97] + v_[135] * v_[57] + v_[181] * v_[58];
+ jac[31] = 0 -
+ (v_[22] * v_[97] + v_[8] * v_[93] + v_[110] * v_[102] + v_[73] * v_[103] + v_[139] * v_[70] +
+ v_[135] * v_[45] + v_[104] * v_[59] + v_[211] * v_[36] + v_[180] * v_[80] + v_[181] * v_[64] +
+ v_[205] * v_[55] + v_[184] * v_[71] + v_[122] * 0.184 + (0 - v_[147]) * 0.02075) *
+ v_[19] +
+ (v_[8] * v_[97] + v_[73] * v_[102] + v_[135] * v_[70] + v_[211] * v_[59] + v_[181] * v_[80] +
+ v_[184] * v_[55] - (v_[22] * v_[93] + v_[139] * v_[45] + v_[180] * v_[64]) + v_[122] * 0.02075 +
+ v_[147] * 0.184 - (v_[110] * v_[103] + v_[104] * v_[36] + v_[205] * v_[71])) *
+ v_[76];
+ v_[147] = v_[178] * v_[93] + v_[192] * v_[57] + v_[214] * v_[58];
+ v_[178] = v_[178] * v_[97] + v_[166] * v_[57] + v_[215] * v_[58];
+ jac[32] = 0 -
+ (v_[196] * v_[93] + v_[28] * v_[102] + v_[182] * v_[103] + v_[192] * v_[70] + v_[166] * v_[45] +
+ v_[193] * v_[59] + v_[239] * v_[36] + v_[214] * v_[80] + v_[215] * v_[64] + v_[234] * v_[55] +
+ v_[136] * v_[71] + v_[147] * 0.184 + (0 - v_[178]) * 0.02075) *
+ v_[19] +
+ (v_[196] * v_[97] + v_[182] * v_[102] + v_[166] * v_[70] + v_[239] * v_[59] + v_[215] * v_[80] +
+ v_[136] * v_[55] - (v_[192] * v_[45] + v_[214] * v_[64]) + v_[147] * 0.02075 + v_[178] * 0.184 -
+ (v_[28] * v_[103] + v_[193] * v_[36] + v_[234] * v_[71])) *
+ v_[76];
+ v_[178] = v_[53] * v_[93] + v_[188] * v_[57] + v_[244] * v_[58];
+ v_[53] = v_[53] * v_[97] + v_[223] * v_[57] + v_[245] * v_[58];
+ jac[33] = 0 -
+ (v_[60] * v_[93] + v_[54] * v_[103] + v_[188] * v_[70] + v_[223] * v_[45] + v_[224] * v_[59] +
+ v_[262] * v_[36] + v_[244] * v_[80] + v_[245] * v_[64] + v_[258] * v_[55] + v_[197] * v_[71] +
+ v_[178] * 0.184 + (0 - v_[53]) * 0.02075) *
+ v_[19] +
+ (v_[60] * v_[97] + v_[54] * v_[102] + v_[223] * v_[70] + v_[262] * v_[59] + v_[245] * v_[80] +
+ v_[197] * v_[55] - (v_[188] * v_[45] + v_[244] * v_[64]) + v_[178] * 0.02075 + v_[53] * 0.184 -
+ (v_[224] * v_[36] + v_[258] * v_[71])) *
+ v_[76];
+ v_[53] = v_[212] * v_[58];
+ v_[178] = v_[257] * v_[58];
+ jac[34] = 0 -
+ (v_[102] + v_[271] * v_[59] + v_[272] * v_[36] + v_[212] * v_[80] + v_[257] * v_[64] + v_[269] * v_[55] +
+ v_[268] * v_[71] + v_[53] * 0.184 + (0 - v_[178]) * 0.02075) *
+ v_[19] +
+ (v_[272] * v_[59] + v_[257] * v_[80] + v_[268] * v_[55] - v_[212] * v_[64] + v_[53] * 0.02075 +
+ v_[178] * 0.184 - (v_[103] + v_[271] * v_[36] + v_[269] * v_[71])) *
+ v_[76];
+ v_[57] = 0.038686875 * v_[57];
+ v_[58] = v_[283] * v_[58];
+ jac[35] = 0 -
+ (0.038686875 * v_[70] + -0.000829 * v_[59] + 1.5e-05 * v_[36] + v_[283] * v_[64] + v_[81] * v_[55] +
+ v_[91] * v_[71] + v_[57] * 0.184 + (0 - v_[58]) * 0.02075) *
+ v_[19] +
+ (1.5e-05 * v_[59] + v_[283] * v_[80] + v_[91] * v_[55] - 0.038686875 * v_[45] + v_[57] * 0.02075 +
+ v_[58] * 0.184 - (-0.000829 * v_[36] + v_[81] * v_[71])) *
+ v_[76];
+ v_[167] = v_[167] + v_[146];
+ jac[42] = v_[162] * v_[20] + v_[164] * v_[38] + v_[137] * v_[10] + v_[152] * v_[11] + v_[170] * v_[1] +
+ v_[167] * x_in[7] + v_[167] * x_in[7] + v_[160] * v_[2] + v_[95] * v_[5];
+
+
+ return jac_;
+}
+} // namespace HyA
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacReverse.h b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacReverse.h
new file mode 100644
index 0000000..648dbf2
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyAInverseDynJacReverse.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+class HyAInverseDynJacReverse : public core::Derivatives<12, 6, double>
+{
+public:
+ typedef Eigen::Matrix<double, 6, 12> JAC_TYPE;
+ typedef Eigen::Matrix<double, 12, 1> X_TYPE;
+
+ HyAInverseDynJacReverse()
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyAInverseDynJacReverse(const HyAInverseDynJacReverse& other)
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyAInverseDynJacReverse(){};
+
+ HyAInverseDynJacReverse* clone() const override { return new HyAInverseDynJacReverse(*this); }
+ JAC_TYPE jacobian(const Eigen::VectorXd& x_in) override;
+
+private:
+ JAC_TYPE jac_;
+ std::array<double, 289> v_;
+};
+
+} /* namespace HyA */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward-impl.h b/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward-impl.h
new file mode 100644
index 0000000..de1835b
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward-impl.h
@@ -0,0 +1,3515 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include "HyALinearizedForward.h"
+
+namespace ct {
+namespace models {
+namespace HyA {
+namespace tpl {
+
+template <typename SCALAR>
+const typename HyALinearizedForward<SCALAR>::state_matrix_t& HyALinearizedForward<SCALAR>::getDerivativeState(
+ const ct::core::StateVector<12, SCALAR>& x,
+ const ct::core::ControlVector<6, SCALAR>& u,
+ const SCALAR t)
+{
+ SCALAR* jac = dFdx_.data();
+ Eigen::Matrix<SCALAR, 12 + 6, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = cos(x_in[1]);
+ vX_[1] = -1 * sin(x_in[1]);
+ vX_[2] = vX_[1] * x_in[6];
+ vX_[3] = vX_[2] * x_in[7];
+ vX_[4] = sin(x_in[1]);
+ vX_[5] = vX_[4] * x_in[6];
+ vX_[6] = cos(x_in[1]);
+ vX_[7] = vX_[6] * x_in[6];
+ vX_[8] = vX_[5] * vX_[7] + vX_[7] * vX_[5];
+ vX_[9] = cos(x_in[2]);
+ vX_[10] = vX_[5] + x_in[8];
+ vX_[11] = sin(x_in[2]);
+ vX_[12] = -0.112 * vX_[11];
+ vX_[13] = vX_[12] * vX_[2];
+ vX_[14] = vX_[0] * x_in[6];
+ vX_[15] = 0.112 * vX_[9];
+ vX_[16] = vX_[12] * vX_[14] + vX_[15] * x_in[7];
+ vX_[17] = -(vX_[10] * vX_[13] + vX_[7] * vX_[16]);
+ vX_[18] = vX_[9] * vX_[14] + vX_[11] * x_in[7];
+ vX_[19] = vX_[9] * vX_[2];
+ vX_[20] = vX_[18] * vX_[7] + vX_[19] * vX_[10];
+ vX_[21] = vX_[10] * vX_[7] + vX_[7] * vX_[10];
+ vX_[22] = 0 - vX_[9];
+ vX_[23] = vX_[11] * vX_[14] + vX_[22] * x_in[7];
+ vX_[24] = vX_[11] * vX_[2];
+ vX_[25] = vX_[23] * vX_[24] + vX_[24] * vX_[23];
+ vX_[26] = cos(x_in[3]);
+ vX_[27] = sin(x_in[3]);
+ vX_[28] = 0 - vX_[27];
+ vX_[29] = vX_[26] * vX_[18] + vX_[28] * vX_[10];
+ vX_[30] = 0.112 * vX_[9];
+ vX_[31] = vX_[30] * vX_[2];
+ vX_[32] = -0.304 * vX_[19] + -1 * vX_[31];
+ vX_[33] = vX_[26] * vX_[19] + vX_[28] * vX_[7];
+ vX_[34] = 0.112 * vX_[11];
+ vX_[35] = vX_[30] * vX_[14] + vX_[34] * x_in[7];
+ vX_[36] = -0.304 * vX_[18] + -1 * vX_[35];
+ vX_[37] = -1 * vX_[23] + x_in[9];
+ vX_[38] = -0.304 * vX_[26];
+ vX_[39] = vX_[38] * vX_[24] + vX_[26] * vX_[13];
+ vX_[40] = -1 * vX_[24];
+ vX_[41] = vX_[38] * vX_[23] + vX_[26] * vX_[16];
+ vX_[42] = vX_[29] * vX_[32] + vX_[33] * vX_[36] - (vX_[37] * vX_[39] + vX_[40] * vX_[41]);
+ vX_[43] = vX_[29] * vX_[40] + vX_[33] * vX_[37];
+ vX_[44] = vX_[37] * vX_[40] + vX_[40] * vX_[37];
+ vX_[45] = vX_[27] * vX_[18] + vX_[26] * vX_[10];
+ vX_[46] = vX_[27] * vX_[19] + vX_[26] * vX_[7];
+ vX_[47] = vX_[45] * vX_[46] + vX_[46] * vX_[45];
+ vX_[48] = cos(x_in[4]);
+ vX_[49] = sin(x_in[4]);
+ vX_[50] = vX_[48] * vX_[29] + vX_[49] * vX_[37];
+ vX_[51] = -0.304 * vX_[27];
+ vX_[52] = vX_[51] * vX_[24] + vX_[27] * vX_[13];
+ vX_[53] = vX_[48] * vX_[33] + vX_[49] * vX_[40];
+ vX_[54] = vX_[51] * vX_[23] + vX_[27] * vX_[16];
+ vX_[55] = vX_[45] + x_in[10];
+ vX_[56] = 0.112 * vX_[48];
+ vX_[57] = -0.112 * vX_[49];
+ vX_[58] = vX_[56] * vX_[40] + vX_[57] * vX_[33] + vX_[48] * vX_[39] + vX_[49] * vX_[32];
+ vX_[59] = vX_[56] * vX_[37] + vX_[57] * vX_[29] + vX_[48] * vX_[41] + vX_[49] * vX_[36];
+ vX_[60] = vX_[50] * vX_[52] + vX_[53] * vX_[54] - (vX_[55] * vX_[58] + vX_[46] * vX_[59]);
+ vX_[61] = vX_[50] * vX_[46] + vX_[53] * vX_[55];
+ vX_[62] = vX_[55] * vX_[46] + vX_[46] * vX_[55];
+ vX_[63] = 0 - vX_[48];
+ vX_[64] = vX_[49] * vX_[29] + vX_[63] * vX_[37];
+ vX_[65] = vX_[49] * vX_[33] + vX_[63] * vX_[40];
+ vX_[66] = vX_[64] * vX_[65] + vX_[65] * vX_[64];
+ vX_[67] = sin(x_in[5]);
+ vX_[68] = cos(x_in[5]);
+ vX_[69] = vX_[67] * vX_[64] + vX_[68] * vX_[55];
+ vX_[70] = 0 - vX_[67];
+ vX_[71] = vX_[68] * vX_[65] + vX_[70] * vX_[46];
+ vX_[72] = vX_[67] * vX_[65] + vX_[68] * vX_[46];
+ vX_[73] = vX_[68] * vX_[64] + vX_[70] * vX_[55];
+ vX_[74] = vX_[69] * vX_[71] + vX_[72] * vX_[73];
+ vX_[75] = vX_[50] + x_in[11];
+ vX_[76] = 0.112 * vX_[49];
+ vX_[77] = 0.112 * vX_[48];
+ vX_[78] = 0 - vX_[48];
+ vX_[79] = vX_[76] * vX_[40] + vX_[77] * vX_[33] + vX_[49] * vX_[39] + vX_[78] * vX_[32];
+ vX_[80] = 0.184 * vX_[67] - 0.02075 * vX_[68];
+ vX_[81] = vX_[67] * vX_[79] + vX_[80] * vX_[53] + vX_[68] * vX_[52];
+ vX_[82] = vX_[76] * vX_[37] + vX_[77] * vX_[29] + vX_[49] * vX_[41] + vX_[78] * vX_[36];
+ vX_[83] = vX_[67] * vX_[82] + vX_[80] * vX_[50] + vX_[68] * vX_[54];
+ vX_[84] = vX_[75] * vX_[81] + vX_[53] * vX_[83];
+ vX_[85] = 0.02075 * vX_[46] + -0.184 * vX_[65] + vX_[58];
+ vX_[86] = 0.02075 * vX_[55] + -0.184 * vX_[64] + vX_[59];
+ vX_[87] = vX_[69] * vX_[85] + vX_[72] * vX_[86];
+ vX_[88] = vX_[69] * vX_[53] + vX_[72] * vX_[75];
+ vX_[89] = vX_[73] * vX_[53] + vX_[71] * vX_[75];
+ vX_[90] = vX_[73] * vX_[71] + vX_[71] * vX_[73];
+ vX_[91] = vX_[69] * vX_[72] + vX_[72] * vX_[69];
+ vX_[92] = -0.00751 * vX_[74] + 0.038686875 * (vX_[84] - vX_[87]) + -0.000829 * vX_[88] - 1.5e-05 * vX_[89] -
+ 0.000198 * (vX_[90] - vX_[91]);
+ vX_[93] = 0 - vX_[92];
+ vX_[94] = 0.02075 * vX_[67] + 0.184 * vX_[68];
+ vX_[95] = 0 - vX_[67];
+ vX_[96] = vX_[68] * vX_[79] + vX_[94] * vX_[53] + vX_[95] * vX_[52];
+ vX_[97] = vX_[68] * vX_[82] + vX_[94] * vX_[50] + vX_[95] * vX_[54];
+ vX_[98] = vX_[75] * vX_[53] + vX_[53] * vX_[75];
+ vX_[85] = 1.547475 * (vX_[73] * vX_[85] + vX_[71] * vX_[86] - (vX_[75] * vX_[96] + vX_[53] * vX_[97])) +
+ 1.547475 * vX_[96] * x_in[11] - 0.038686875 * (vX_[98] + vX_[90]);
+ vX_[99] = (-vX_[72]) * x_in[11];
+ vX_[100] = vX_[71] * x_in[11];
+ vX_[101] = (-vX_[81]) * x_in[11];
+ vX_[87] = 0.038686875 * vX_[74] + -1.547475 * (vX_[87] - vX_[84]) + 0.00345708950900075 * vX_[99] +
+ -6.25528861700981e-05 * vX_[100] + 1.38614328745655 * vX_[101] + (0.038686875 * vX_[93]) / 0.009277;
+ vX_[84] = 1.547475 * vX_[80];
+ vX_[102] = -0.184 * vX_[68] + 0.02075 * vX_[70];
+ vX_[103] = 0 - 1.38614328745655 * vX_[102];
+ vX_[104] = vX_[84] * vX_[80] - vX_[103] * vX_[102];
+ vX_[105] = 0 - -6.25528861700981e-05 * vX_[102];
+ vX_[106] = 0 - 0.00345708950900075 * vX_[102];
+ vX_[107] = 0 - vX_[106];
+ vX_[108] = -0.001243 + vX_[68] * vX_[105] + vX_[67] * vX_[107];
+ vX_[109] = 0 - 1.547475 * vX_[80];
+ vX_[110] = 0.0107369757464698 - vX_[109] * vX_[80] - vX_[104];
+ vX_[111] = 0.000199340411771047 + vX_[109] * vX_[102] - -0.038686875 * vX_[80];
+ vX_[112] = vX_[68] * vX_[110] + vX_[70] * vX_[111];
+ vX_[113] = 1.547475 * vX_[102];
+ vX_[114] = 0.00315291990945349 + -0.07737375 * vX_[102] + vX_[113] * vX_[102] - vX_[104];
+ vX_[115] = vX_[68] * vX_[111] + vX_[70] * vX_[114];
+ vX_[116] = vX_[112] * vX_[68] + vX_[115] * vX_[70];
+ vX_[117] = 0.011046 + vX_[104] + vX_[116];
+ vX_[118] = vX_[108] / vX_[117];
+ vX_[119] = 0.029115 + vX_[104] - vX_[108] * vX_[118];
+ vX_[120] = (-vX_[65]) * x_in[10];
+ vX_[106] = 2. * vX_[106];
+ vX_[121] = 2. * vX_[105];
+ vX_[122] = -0.012652 + vX_[115] * vX_[68] + vX_[112] * vX_[67];
+ vX_[123] = -0.001387 + vX_[106] * vX_[68] + vX_[121] * vX_[67] + vX_[70] * vX_[105] + vX_[68] * vX_[107] -
+ vX_[122] * vX_[118];
+ vX_[124] = vX_[53] * x_in[10];
+ vX_[125] = -0.038686875 + vX_[113];
+ vX_[126] = vX_[103] + vX_[125];
+ vX_[127] = vX_[84] + vX_[109];
+ vX_[125] = 0 - vX_[125];
+ vX_[128] = vX_[68] * vX_[125] + vX_[70] * vX_[109];
+ vX_[129] = -6.25528861700981e-05 * vX_[68] + 0.00345708950900075 * vX_[70];
+ vX_[130] = vX_[129] * vX_[68];
+ vX_[131] = vX_[130] / vX_[117];
+ vX_[132] = 0.057838 + vX_[126] * vX_[68] + vX_[127] * vX_[67] + vX_[128] - vX_[108] * vX_[131];
+ vX_[133] = vX_[58] * x_in[10];
+ vX_[134] = vX_[67] * vX_[125] + vX_[68] * vX_[109];
+ vX_[135] = vX_[134] / vX_[117];
+ vX_[136] = 0 - vX_[108] * vX_[135];
+ vX_[137] = (-vX_[79]) * x_in[10];
+ vX_[138] = vX_[64] * vX_[46] + vX_[65] * vX_[55];
+ vX_[139] = vX_[64] * vX_[53] + vX_[65] * vX_[50];
+ vX_[96] = vX_[69] * vX_[96] + vX_[72] * vX_[97] - (vX_[73] * vX_[81] + vX_[71] * vX_[83]);
+ vX_[91] = 0.000198 * vX_[89] + 1.5e-05 * (vX_[98] - vX_[91]) + 0.00315291990945349 * vX_[99] +
+ 0.000199340411771047 * vX_[100] + 0.00345708950900075 * vX_[101] + (-0.000829 * vX_[93]) / 0.009277 -
+ 0.038686875 * vX_[96] - -0.00146 * vX_[88] - -0.000829 * vX_[74];
+ vX_[98] = 0.00605 * vX_[89] + 1.5e-05 * vX_[74] + 0.000199340411771047 * vX_[99] + 0.0107369757464698 * vX_[100] +
+ -6.25528861700981e-05 * vX_[101] + (1.5e-05 * vX_[93]) / 0.009277 - 0.000198 * vX_[88] -
+ -0.000829 * (vX_[98] - vX_[90]);
+ vX_[96] = 0.038686875 * vX_[88] + 1.547475 * vX_[96] + -0.038686875 * vX_[99];
+ vX_[88] = vX_[50] * vX_[53] + vX_[53] * vX_[50];
+ vX_[90] = -0.001243 * vX_[138] + 0.009683 * vX_[139] + vX_[70] * vX_[91] + vX_[68] * vX_[98] + 0.02075 * vX_[96] -
+ -0.012652 * vX_[61] - -0.001387 * (vX_[88] - vX_[66]);
+ vX_[89] = 0 - vX_[90];
+ vX_[92] = 0.057838 * vX_[60] + -0.001387 * vX_[61] + -0.012652 * (vX_[62] - vX_[66]) +
+ (0.009277 * vX_[93]) / 0.009277 + vX_[92] + vX_[80] * vX_[85] + vX_[94] * vX_[87] + vX_[119] * vX_[120] +
+ vX_[123] * vX_[124] + vX_[132] * vX_[133] + vX_[136] * vX_[137] + (vX_[108] * vX_[89]) / vX_[117] -
+ -0.008386 * vX_[138] - -0.001243 * vX_[139];
+ vX_[74] = vX_[64] * vX_[52] + vX_[65] * vX_[54] - (vX_[55] * vX_[79] + vX_[46] * vX_[82]);
+ vX_[81] = vX_[122] / vX_[117];
+ vX_[116] = 0.019432 + vX_[114] + vX_[110] + vX_[104] - vX_[116] - vX_[122] * vX_[81];
+ vX_[104] = -6.25528861700981e-05 * vX_[67] + 0.00345708950900075 * vX_[68];
+ vX_[72] = vX_[104] * vX_[68] - vX_[122] * vX_[131];
+ vX_[128] = -0.057838 - vX_[128] - vX_[122] * vX_[135];
+ vX_[98] = -0.018069 * vX_[61] + 0.057838 * vX_[74] + -0.012652 * vX_[139] + vX_[68] * vX_[91] + vX_[67] * vX_[98] +
+ -0.184 * vX_[96] + vX_[123] * vX_[120] + vX_[116] * vX_[124] + vX_[72] * vX_[133] + vX_[128] * vX_[137] +
+ (vX_[122] * vX_[89]) / vX_[117] - -0.001387 * vX_[138] - -0.001243 * (vX_[62] - vX_[88]);
+ vX_[91] = -0.161331712543454 * vX_[70];
+ vX_[139] = vX_[91] * vX_[70];
+ vX_[62] = 3.48934328745655 - vX_[139] - vX_[130] * vX_[131];
+ vX_[71] = 0 - vX_[130] * vX_[135];
+ vX_[138] = 0.057838 * vX_[138] + 2.1032 * vX_[60] + vX_[68] * vX_[87] + vX_[67] * vX_[85] + vX_[132] * vX_[120] +
+ vX_[72] * vX_[124] + vX_[62] * vX_[133] + vX_[71] * vX_[137] + (vX_[130] * vX_[89]) / vX_[117];
+ vX_[60] = 3.650675 - vX_[134] * vX_[135];
+ vX_[74] = 0.057838 * vX_[61] + -2.1032 * vX_[74] + vX_[96] + vX_[136] * vX_[120] + vX_[128] * vX_[124] +
+ vX_[71] * vX_[133] + vX_[60] * vX_[137] + (vX_[134] * vX_[89]) / vX_[117];
+ vX_[96] = 2. * vX_[128];
+ vX_[61] = vX_[49] * vX_[57] + vX_[63] * vX_[56];
+ vX_[140] = vX_[61] * vX_[60];
+ vX_[141] = vX_[96] * vX_[61] + vX_[116] + vX_[140] * vX_[61];
+ vX_[142] = vX_[61] * vX_[71];
+ vX_[143] = vX_[136] * vX_[61] + vX_[123] - vX_[72] * vX_[61] - vX_[142] * vX_[61];
+ vX_[144] = vX_[49] * vX_[141] + vX_[48] * vX_[143];
+ vX_[145] = vX_[49] * vX_[143];
+ vX_[146] = 2. * vX_[132];
+ vX_[147] = 0 - vX_[61] * vX_[62];
+ vX_[148] = vX_[119] - vX_[146] * vX_[61] - vX_[147] * vX_[61];
+ vX_[149] = vX_[145] + vX_[48] * vX_[148];
+ vX_[150] = vX_[144] * vX_[49] + vX_[149] * vX_[48];
+ vX_[151] = vX_[63] * vX_[143] + vX_[49] * vX_[148];
+ vX_[145] = vX_[63] * vX_[141] + vX_[145];
+ vX_[152] = -0.0022920002 + vX_[151] * vX_[48] + vX_[145] * vX_[49];
+ vX_[153] = vX_[145] * vX_[63] + vX_[151] * vX_[49];
+ vX_[154] = 0.09570849 + vX_[153];
+ vX_[155] = vX_[152] / vX_[154];
+ vX_[156] = 0.01828449 + vX_[150] - vX_[152] * vX_[155];
+ vX_[157] = (-vX_[46]) * x_in[9];
+ vX_[158] = 0.0036857284 - -0.00021200017 * vX_[155];
+ vX_[159] = vX_[33] * x_in[9];
+ vX_[160] = vX_[129] * vX_[70];
+ vX_[161] = vX_[160] / vX_[117];
+ vX_[162] = vX_[126] * vX_[70] + vX_[127] * vX_[68] - vX_[134] - vX_[108] * vX_[161];
+ vX_[163] = vX_[91] * vX_[68] - vX_[130] * vX_[161];
+ vX_[164] = vX_[162] - vX_[61] * vX_[163];
+ vX_[165] = 0 - vX_[164];
+ vX_[166] = 0 - vX_[134] * vX_[161];
+ vX_[167] = vX_[104] * vX_[70] - vX_[122] * vX_[161];
+ vX_[168] = vX_[61] * vX_[166] + vX_[167];
+ vX_[169] = vX_[49] * vX_[168];
+ vX_[170] = vX_[63] * vX_[165] + vX_[169];
+ vX_[171] = vX_[49] * vX_[165] + vX_[48] * vX_[168];
+ vX_[172] = 0.008711861 - vX_[171];
+ vX_[173] = vX_[172] / vX_[154];
+ vX_[174] = 1.52322944854339e-09 + vX_[170] - vX_[152] * vX_[173];
+ vX_[175] = vX_[39] * x_in[9];
+ vX_[176] = vX_[140] + vX_[128];
+ vX_[177] = vX_[136] - vX_[142];
+ vX_[178] = vX_[49] * vX_[176] + vX_[48] * vX_[177];
+ vX_[179] = vX_[142] + vX_[72];
+ vX_[180] = vX_[147] + vX_[132];
+ vX_[181] = vX_[49] * vX_[179] + vX_[48] * vX_[180];
+ vX_[182] = vX_[63] * vX_[176] + vX_[49] * vX_[177];
+ vX_[183] = vX_[63] * vX_[179] + vX_[49] * vX_[180];
+ vX_[184] = 0.160298259823722 + vX_[182] * vX_[48] + vX_[183] * vX_[49];
+ vX_[185] = vX_[184] / vX_[154];
+ vX_[186] = vX_[178] * vX_[48] + vX_[181] * vX_[49] - vX_[152] * vX_[185];
+ vX_[187] = (-vX_[52]) * x_in[9];
+ vX_[188] = vX_[37] * vX_[52] + vX_[40] * vX_[54];
+ vX_[32] = vX_[45] * vX_[32] + vX_[46] * vX_[36];
+ vX_[189] = vX_[45] * vX_[33] + vX_[46] * vX_[29];
+ vX_[40] = vX_[45] * vX_[40] + vX_[46] * vX_[37];
+ vX_[190] = vX_[29] * vX_[33] + vX_[33] * vX_[29];
+ vX_[191] = 0.160298259823722 * (vX_[188] - vX_[32]) + -0.06337651 * vX_[189] + -0.0022920002 * vX_[40] +
+ vX_[49] * vX_[92] + vX_[63] * vX_[98] + vX_[76] * vX_[138] + vX_[56] * vX_[74] - -0.008711861 * vX_[42] -
+ -0.00021200017 * vX_[43] - 0.0036857284 * (vX_[190] - vX_[47]);
+ vX_[192] = 0 - vX_[191];
+ vX_[52] = vX_[45] * vX_[39] + vX_[46] * vX_[41] - (vX_[29] * vX_[52] + vX_[33] * vX_[54]);
+ vX_[98] = 1.52322944854339e-09 * vX_[42] + 0.0036857284 * vX_[43] + -0.00021200017 * (vX_[44] - vX_[47]) +
+ vX_[48] * vX_[92] + vX_[49] * vX_[98] + vX_[77] * vX_[138] + vX_[57] * vX_[74] + vX_[156] * vX_[157] +
+ vX_[158] * vX_[159] + vX_[174] * vX_[175] + vX_[186] * vX_[187] + (vX_[152] * vX_[192]) / vX_[154] -
+ 0.160298259823722 * vX_[52] - 0.01404749 * vX_[40] - -0.0022920002 * vX_[189];
+ vX_[92] = -0.00021200017 / vX_[154];
+ vX_[153] = 0.081661 + vX_[148] + vX_[141] - vX_[150] - vX_[153] - -0.00021200017 * vX_[92];
+ vX_[150] = 0 - -0.00021200017 * vX_[173];
+ vX_[170] = -1.52322944854339e-09 + vX_[164] * vX_[48] + vX_[169] - vX_[170] - -0.00021200017 * vX_[185];
+ vX_[90] = -0.008711861 * vX_[52] + 1.52322944854339e-09 * (vX_[32] - vX_[188]) + 0.077424 * vX_[43] +
+ -0.00021200017 * vX_[189] + (vX_[117] * vX_[89]) / vX_[117] + vX_[90] + vX_[158] * vX_[157] +
+ vX_[153] * vX_[159] + vX_[150] * vX_[175] + vX_[170] * vX_[187] + (-0.00021200017 * vX_[192]) / vX_[154] -
+ 0.0036857284 * vX_[40] - -0.0022920002 * (vX_[44] - vX_[190]);
+ vX_[169] = vX_[183] * vX_[63] + vX_[182] * vX_[49];
+ vX_[46] = vX_[169] / vX_[154];
+ vX_[39] = -0.160298259823722 + vX_[178] * vX_[49] + vX_[181] * vX_[63] - vX_[152] * vX_[46];
+ vX_[171] = -0.008711861 + vX_[164] * vX_[49] + vX_[168] * vX_[63] + vX_[171] - -0.00021200017 * vX_[46];
+ vX_[33] = 0 - vX_[166];
+ vX_[193] = 0 - vX_[48] * vX_[163] - vX_[49] * vX_[33] - vX_[172] * vX_[46];
+ vX_[139] = 3.650675 + vX_[139] - vX_[160] * vX_[161];
+ vX_[194] = vX_[60] - vX_[139];
+ vX_[195] = vX_[63] * vX_[71] + vX_[49] * vX_[194];
+ vX_[196] = vX_[62] - vX_[139];
+ vX_[197] = vX_[49] * vX_[71];
+ vX_[198] = vX_[63] * vX_[196] + vX_[197];
+ vX_[199] = vX_[195] * vX_[48] + vX_[198] * vX_[49] - vX_[184] * vX_[46];
+ vX_[52] = 1.7423722 * vX_[52] + 0.160298259823722 * vX_[40] + -0.008711861 * vX_[43] + vX_[49] * vX_[74] +
+ vX_[78] * vX_[138] + vX_[39] * vX_[157] + vX_[171] * vX_[159] + vX_[193] * vX_[175] +
+ vX_[199] * vX_[187] + (vX_[169] * vX_[192]) / vX_[154] - 1.52322944854339e-09 * (vX_[190] + vX_[47]);
+ vX_[200] = -1 * vX_[51];
+ vX_[201] = vX_[49] * vX_[196] + vX_[48] * vX_[71];
+ vX_[197] = vX_[197] + vX_[48] * vX_[194];
+ vX_[202] = vX_[201] * vX_[49] + vX_[197] * vX_[48];
+ vX_[203] = vX_[198] * vX_[63] + vX_[195] * vX_[49];
+ vX_[204] = 1.7423722 + vX_[194] + vX_[196] + vX_[139] - vX_[202] - vX_[203] - vX_[172] * vX_[173];
+ vX_[205] = -0.304 * vX_[26];
+ vX_[206] = vX_[49] * vX_[163] + vX_[63] * vX_[33] - vX_[172] * vX_[185];
+ vX_[207] = vX_[200] * vX_[204] - vX_[205] * vX_[206];
+ vX_[202] = 1.7423722 + vX_[139] + vX_[202] - vX_[184] * vX_[185];
+ vX_[208] = vX_[200] * vX_[206] - vX_[205] * vX_[202];
+ vX_[209] = vX_[207] * vX_[200] - vX_[208] * vX_[205];
+ vX_[210] = 2. * vX_[171];
+ vX_[203] = 1.7423722 + vX_[139] + vX_[203] - vX_[169] * vX_[46];
+ vX_[139] = 0 - vX_[200] * vX_[203];
+ vX_[211] = vX_[153] - vX_[210] * vX_[200] - vX_[139] * vX_[200] - vX_[209];
+ vX_[212] = vX_[158] + vX_[171] * vX_[205] + vX_[139] * vX_[205] - vX_[39] * vX_[200];
+ vX_[213] = vX_[26] * vX_[212];
+ vX_[214] = vX_[27] * vX_[211] + vX_[213];
+ vX_[215] = 2. * vX_[39];
+ vX_[216] = vX_[205] * vX_[203];
+ vX_[217] = vX_[215] * vX_[205] + vX_[156] + vX_[216] * vX_[205] - vX_[209];
+ vX_[218] = vX_[27] * vX_[212] + vX_[26] * vX_[217];
+ vX_[219] = vX_[214] * vX_[27] + vX_[218] * vX_[26];
+ vX_[213] = vX_[213] + vX_[28] * vX_[217];
+ vX_[220] = vX_[26] * vX_[211] + vX_[28] * vX_[212];
+ vX_[221] = -0.0037997814 + vX_[213] * vX_[26] + vX_[220] * vX_[27];
+ vX_[222] = vX_[220] * vX_[26] + vX_[213] * vX_[28];
+ vX_[223] = 0.010329999 + vX_[209] + vX_[222];
+ vX_[224] = vX_[221] / vX_[223];
+ vX_[225] = 0.20986895 + vX_[209] + vX_[219] - vX_[221] * vX_[224];
+ vX_[226] = (-vX_[24]) * x_in[8];
+ vX_[227] = vX_[200] * vX_[193];
+ vX_[228] = 0 - vX_[227];
+ vX_[229] = 0 - vX_[200] * vX_[199];
+ vX_[230] = vX_[150] * vX_[200] + vX_[228] * vX_[200] - vX_[170] * vX_[205] - vX_[229] * vX_[205];
+ vX_[231] = vX_[205] * vX_[199];
+ vX_[232] = vX_[205] * vX_[193];
+ vX_[233] = vX_[186] * vX_[205] + vX_[231] * vX_[205] - vX_[174] * vX_[200] - vX_[232] * vX_[200];
+ vX_[234] = -0.011715295 - vX_[26] * vX_[230] - vX_[27] * vX_[233];
+ vX_[235] = 5.399998e-05 + vX_[28] * vX_[230] + vX_[26] * vX_[233] - vX_[234] * vX_[224];
+ vX_[236] = vX_[19] * x_in[8];
+ vX_[237] = vX_[216] + vX_[39];
+ vX_[238] = 0 - vX_[237];
+ vX_[239] = vX_[139] + vX_[171];
+ vX_[240] = vX_[26] * vX_[238] + vX_[28] * vX_[239];
+ vX_[241] = vX_[27] * vX_[238] + vX_[26] * vX_[239];
+ vX_[242] = -0.01438086 - vX_[241];
+ vX_[243] = vX_[242] / vX_[223];
+ vX_[244] = 0.647967112 + vX_[240] - vX_[221] * vX_[243];
+ vX_[245] = vX_[13] * x_in[8];
+ vX_[246] = vX_[229] + vX_[170];
+ vX_[227] = vX_[227] - vX_[231];
+ vX_[247] = vX_[186] + vX_[231] - vX_[227];
+ vX_[248] = vX_[27] * vX_[246] + vX_[26] * vX_[247];
+ vX_[249] = vX_[150] + vX_[228] - vX_[227];
+ vX_[250] = vX_[232] + vX_[174];
+ vX_[251] = vX_[27] * vX_[249] + vX_[26] * vX_[250];
+ vX_[252] = vX_[26] * vX_[246] + vX_[28] * vX_[247];
+ vX_[253] = vX_[26] * vX_[249] + vX_[28] * vX_[250];
+ vX_[254] = -0.0055615274403 + vX_[252] * vX_[26] + vX_[253] * vX_[27];
+ vX_[255] = vX_[254] / vX_[223];
+ vX_[256] = vX_[248] * vX_[26] + vX_[251] * vX_[27] + vX_[227] - vX_[221] * vX_[255];
+ vX_[257] = (-vX_[31]) * x_in[8];
+ vX_[258] = vX_[10] * vX_[31] + vX_[7] * vX_[35];
+ vX_[259] = vX_[23] * vX_[19] + vX_[24] * vX_[18];
+ vX_[260] = vX_[23] * vX_[7] + vX_[24] * vX_[10];
+ vX_[261] = vX_[18] * vX_[19] + vX_[19] * vX_[18];
+ vX_[262] = -0.0055615274403 * vX_[258] + 0.00750500000000001 * vX_[259] + -0.0037997814 * vX_[260] +
+ vX_[28] * vX_[98] + vX_[26] * vX_[90] - 0.01438086 * vX_[17] - -0.011715295 * vX_[20] -
+ 5.399998e-05 * (vX_[261] - vX_[25]);
+ vX_[263] = 0 - vX_[262];
+ vX_[31] = vX_[23] * vX_[13] + vX_[24] * vX_[16] - (vX_[18] * vX_[31] + vX_[19] * vX_[35]);
+ vX_[90] = 0.647967112 * vX_[17] + 5.399998e-05 * vX_[20] + -0.011715295 * (vX_[21] - vX_[25]) + vX_[26] * vX_[98] +
+ vX_[27] * vX_[90] + -0.304 * vX_[52] + vX_[225] * vX_[226] + vX_[235] * vX_[236] + vX_[244] * vX_[245] +
+ vX_[256] * vX_[257] + (vX_[221] * vX_[263]) / vX_[223] - -0.0055615274403 * vX_[31] -
+ -0.192033951 * vX_[260] - -0.0037997814 * vX_[259];
+ vX_[258] = -vX_[258];
+ vX_[190] = 1.7423722 * vX_[42] + 1.52322944854339e-09 * vX_[40] + -0.008711861 * vX_[189] +
+ 2.1032 * (vX_[64] * vX_[58] + vX_[65] * vX_[59] - (vX_[50] * vX_[79] + vX_[53] * vX_[82])) +
+ vX_[95] * vX_[87] + vX_[68] * vX_[85] + vX_[162] * vX_[120] + vX_[167] * vX_[124] + vX_[163] * vX_[133] +
+ vX_[166] * vX_[137] + (vX_[160] * vX_[89]) / vX_[117] + vX_[174] * vX_[157] + vX_[150] * vX_[159] +
+ vX_[204] * vX_[175] + vX_[206] * vX_[187] + (vX_[172] * vX_[192]) / vX_[154] -
+ 0.160298259823722 * (vX_[44] + vX_[190]) - 0.057838 * (vX_[88] + vX_[66]);
+ vX_[189] = -1.7423722 * (vX_[32] - vX_[188]) + 0.160298259823722 * vX_[189] + 1.52322944854339e-09 * vX_[43] +
+ vX_[48] * vX_[74] + vX_[49] * vX_[138] + vX_[186] * vX_[157] + vX_[170] * vX_[159] +
+ vX_[206] * vX_[175] + vX_[202] * vX_[187] + (vX_[184] * vX_[192]) / vX_[154] -
+ -0.008711861 * (vX_[44] + vX_[47]);
+ vX_[32] = vX_[234] / vX_[223];
+ vX_[222] = 0.20236395 + vX_[217] + vX_[211] + vX_[209] - vX_[219] - vX_[222] - vX_[234] * vX_[32];
+ vX_[219] = vX_[227] - vX_[234] * vX_[243];
+ vX_[237] = -1 * (vX_[208] + vX_[237]);
+ vX_[209] = -1 * (vX_[207] + vX_[239]);
+ vX_[240] = -0.647967112 + vX_[237] * vX_[26] + vX_[209] * vX_[27] - vX_[240] - vX_[234] * vX_[255];
+ vX_[31] = 0.01438086 * vX_[31] + 0.647967112 * vX_[258] + -0.199538951 * vX_[20] + -0.011715295 * vX_[259] +
+ vX_[51] * vX_[190] + -1 * (vX_[191] + (vX_[154] * vX_[192]) / vX_[154]) + vX_[38] * vX_[189] +
+ vX_[235] * vX_[226] + vX_[222] * vX_[236] + vX_[219] * vX_[245] + vX_[240] * vX_[257] +
+ (vX_[234] * vX_[263]) / vX_[223] - 5.399998e-05 * vX_[260] - -0.0037997814 * (vX_[21] - vX_[261]);
+ vX_[191] = vX_[202] - vX_[203];
+ vX_[188] = vX_[204] - vX_[203];
+ vX_[74] = vX_[26] * vX_[206];
+ vX_[138] = vX_[27] * vX_[188] + vX_[74];
+ vX_[47] = vX_[27] * vX_[206] + vX_[26] * vX_[191];
+ vX_[44] = vX_[138] * vX_[27] + vX_[47] * vX_[26];
+ vX_[43] = vX_[26] * vX_[188] + vX_[28] * vX_[206];
+ vX_[74] = vX_[74] + vX_[28] * vX_[191];
+ vX_[40] = vX_[43] * vX_[26] + vX_[74] * vX_[28];
+ vX_[88] = 2.327 + vX_[191] + vX_[188] + vX_[203] - vX_[44] - vX_[40] - vX_[242] * vX_[243];
+ vX_[87] = 0 - vX_[199];
+ vX_[85] = vX_[28] * vX_[193] + vX_[26] * vX_[87] - vX_[242] * vX_[255];
+ vX_[261] = 2.327 * vX_[17] + 0.647967112 * vX_[260] + 0.01438086 * vX_[259] + -1 * vX_[52] + vX_[244] * vX_[226] +
+ vX_[219] * vX_[236] + vX_[88] * vX_[245] + vX_[85] * vX_[257] + (vX_[242] * vX_[263]) / vX_[223] -
+ -0.0055615274403 * (vX_[21] + vX_[261]);
+ vX_[44] = 2.327 + vX_[203] + vX_[44] - vX_[254] * vX_[255];
+ vX_[189] = -2.327 * vX_[258] + -0.0055615274403 * vX_[259] + 0.647967112 * vX_[20] + vX_[26] * vX_[189] +
+ vX_[27] * vX_[190] + vX_[256] * vX_[226] + vX_[240] * vX_[236] + vX_[85] * vX_[245] +
+ vX_[44] * vX_[257] + (vX_[254] * vX_[263]) / vX_[223] - 0.01438086 * (vX_[21] + vX_[25]);
+ vX_[190] = 2. * vX_[240];
+ vX_[258] = vX_[11] * vX_[12] + vX_[22] * vX_[15];
+ vX_[259] = vX_[258] * vX_[44];
+ vX_[25] = vX_[190] * vX_[258] + vX_[222] + vX_[259] * vX_[258];
+ vX_[21] = vX_[258] * vX_[85];
+ vX_[20] = vX_[256] * vX_[258] + vX_[235] - vX_[219] * vX_[258] - vX_[21] * vX_[258];
+ vX_[260] = vX_[11] * vX_[25] + vX_[9] * vX_[20];
+ vX_[52] = vX_[11] * vX_[20];
+ vX_[17] = 2. * vX_[244];
+ vX_[79] = 0 - vX_[258] * vX_[88];
+ vX_[66] = vX_[225] - vX_[17] * vX_[258] - vX_[79] * vX_[258];
+ vX_[65] = vX_[52] + vX_[9] * vX_[66];
+ vX_[58] = vX_[260] * vX_[11] + vX_[65] * vX_[9];
+ vX_[53] = vX_[22] * vX_[20] + vX_[11] * vX_[66];
+ vX_[52] = vX_[22] * vX_[25] + vX_[52];
+ vX_[42] = -0.002752 + vX_[53] * vX_[9] + vX_[52] * vX_[11];
+ vX_[98] = vX_[52] * vX_[22] + vX_[53] * vX_[11];
+ vX_[24] = 0.051393528 + vX_[98];
+ vX_[19] = vX_[42] / vX_[24];
+ vX_[13] = 0.08585553 + vX_[58] - vX_[42] * vX_[19];
+ vX_[264] = (-vX_[7]) * x_in[7];
+ vX_[265] = 0.0055279857 - -0.022851627 * vX_[19];
+ vX_[266] = vX_[14] * vX_[2] + vX_[2] * vX_[14];
+ vX_[267] = vX_[7] * x_in[7];
+ vX_[7] = vX_[5] * vX_[2] + vX_[7] * vX_[14];
+ vX_[2] = -0.022851627 * vX_[3] + 0.0055279857 * (vX_[266] - vX_[8]) - -0.002752 * vX_[267] - 0.046852534 * vX_[7] -
+ vX_[11] * vX_[90] - vX_[22] * vX_[31] - vX_[34] * vX_[261] - vX_[15] * vX_[189];
+ vX_[268] = vX_[14] * x_in[7];
+ vX_[269] = x_in[7] * x_in[7];
+ vX_[270] = vX_[5] * vX_[5];
+ vX_[271] = 0 - vX_[10] * vX_[16];
+ vX_[272] = vX_[18] * vX_[10];
+ vX_[273] = vX_[10] * vX_[10];
+ vX_[274] = vX_[23] * vX_[23];
+ vX_[275] = vX_[29] * vX_[36] - vX_[37] * vX_[41];
+ vX_[276] = vX_[29] * vX_[37];
+ vX_[277] = vX_[37] * vX_[37];
+ vX_[278] = vX_[45] * vX_[45];
+ vX_[279] = vX_[50] * vX_[54] - vX_[55] * vX_[59];
+ vX_[280] = vX_[50] * vX_[55];
+ vX_[281] = vX_[55] * vX_[55];
+ vX_[282] = vX_[64] * vX_[64];
+ vX_[283] = vX_[69] * vX_[73];
+ vX_[284] = vX_[75] * vX_[83];
+ vX_[285] = vX_[69] * vX_[86];
+ vX_[286] = vX_[69] * vX_[75];
+ vX_[287] = vX_[73] * vX_[75];
+ vX_[288] = vX_[73] * vX_[73];
+ vX_[289] = vX_[69] * vX_[69];
+ vX_[290] = -0.00751 * vX_[283] + 0.038686875 * (vX_[284] - vX_[285]) + -0.000829 * vX_[286] - 1.5e-05 * vX_[287] -
+ 0.000198 * (vX_[288] - vX_[289]);
+ vX_[291] = x_in[17] - vX_[290];
+ vX_[292] = vX_[75] * vX_[75];
+ vX_[293] = 1.547475 * (vX_[73] * vX_[86] - vX_[75] * vX_[97]) + 1.547475 * vX_[97] * x_in[11] -
+ 0.038686875 * (vX_[292] + vX_[288]);
+ vX_[294] = 0 - vX_[69];
+ vX_[295] = vX_[294] * x_in[11];
+ vX_[296] = vX_[73] * x_in[11];
+ vX_[297] = 0 - vX_[83];
+ vX_[298] = vX_[297] * x_in[11];
+ vX_[285] = 0.038686875 * vX_[283] + -1.547475 * (vX_[285] - vX_[284]) + 0.00345708950900075 * vX_[295] +
+ -6.25528861700981e-05 * vX_[296] + 1.38614328745655 * vX_[298] + (0.038686875 * vX_[291]) / 0.009277;
+ vX_[284] = 0 - vX_[64];
+ vX_[299] = vX_[284] * x_in[10];
+ vX_[300] = vX_[50] * x_in[10];
+ vX_[301] = vX_[59] * x_in[10];
+ vX_[302] = 0 - vX_[82];
+ vX_[303] = vX_[302] * x_in[10];
+ vX_[304] = vX_[64] * vX_[55];
+ vX_[305] = vX_[64] * vX_[50];
+ vX_[306] = vX_[69] * vX_[97] - vX_[73] * vX_[83];
+ vX_[289] = 0.000198 * vX_[287] + 1.5e-05 * (vX_[292] - vX_[289]) + 0.00315291990945349 * vX_[295] +
+ 0.000199340411771047 * vX_[296] + 0.00345708950900075 * vX_[298] + (-0.000829 * vX_[291]) / 0.009277 -
+ 0.038686875 * vX_[306] - -0.00146 * vX_[286] - -0.000829 * vX_[283];
+ vX_[298] = 0.00605 * vX_[287] + 1.5e-05 * vX_[283] + 0.000199340411771047 * vX_[295] +
+ 0.0107369757464698 * vX_[296] + -6.25528861700981e-05 * vX_[298] + (1.5e-05 * vX_[291]) / 0.009277 -
+ 0.000198 * vX_[286] - -0.000829 * (vX_[292] - vX_[288]);
+ vX_[306] = 0.038686875 * vX_[286] + 1.547475 * vX_[306] + -0.038686875 * vX_[295];
+ vX_[295] = vX_[50] * vX_[50];
+ vX_[286] = -0.001243 * vX_[304] + 0.009683 * vX_[305] + vX_[70] * vX_[289] + vX_[68] * vX_[298] +
+ 0.02075 * vX_[306] - -0.012652 * vX_[280] - -0.001387 * (vX_[295] - vX_[282]);
+ vX_[296] = x_in[16] - vX_[286];
+ vX_[292] = (vX_[108] * vX_[296]) / vX_[117];
+ vX_[291] = 0.057838 * vX_[279] + -0.001387 * vX_[280] + -0.012652 * (vX_[281] - vX_[282]) +
+ (0.009277 * vX_[291]) / 0.009277 + vX_[290] + vX_[80] * vX_[293] + vX_[94] * vX_[285] +
+ vX_[119] * vX_[299] + vX_[123] * vX_[300] + vX_[132] * vX_[301] + vX_[136] * vX_[303] + vX_[292] -
+ -0.008386 * vX_[304] - -0.001243 * vX_[305];
+ vX_[290] = vX_[64] * vX_[54] - vX_[55] * vX_[82];
+ vX_[288] = (vX_[122] * vX_[296]) / vX_[117];
+ vX_[305] = -0.018069 * vX_[280] + 0.057838 * vX_[290] + -0.012652 * vX_[305] + vX_[68] * vX_[289] +
+ vX_[67] * vX_[298] + -0.184 * vX_[306] + vX_[123] * vX_[299] + vX_[116] * vX_[300] + vX_[72] * vX_[301] +
+ vX_[128] * vX_[303] + vX_[288] - -0.001387 * vX_[304] - -0.001243 * (vX_[281] - vX_[295]);
+ vX_[281] = (vX_[130] * vX_[296]) / vX_[117];
+ vX_[304] = 0.057838 * vX_[304] + 2.1032 * vX_[279] + vX_[68] * vX_[285] + vX_[67] * vX_[293] + vX_[132] * vX_[299] +
+ vX_[72] * vX_[300] + vX_[62] * vX_[301] + vX_[71] * vX_[303] + vX_[281];
+ vX_[279] = (vX_[134] * vX_[296]) / vX_[117];
+ vX_[290] = 0.057838 * vX_[280] + -2.1032 * vX_[290] + vX_[306] + vX_[136] * vX_[299] + vX_[128] * vX_[300] +
+ vX_[71] * vX_[301] + vX_[60] * vX_[303] + vX_[279];
+ vX_[306] = 0 - vX_[45];
+ vX_[280] = vX_[306] * x_in[9];
+ vX_[287] = vX_[29] * x_in[9];
+ vX_[283] = vX_[41] * x_in[9];
+ vX_[307] = 0 - vX_[54];
+ vX_[308] = vX_[307] * x_in[9];
+ vX_[309] = vX_[37] * vX_[54];
+ vX_[310] = vX_[45] * vX_[36];
+ vX_[311] = vX_[45] * vX_[29];
+ vX_[312] = vX_[45] * vX_[37];
+ vX_[313] = vX_[29] * vX_[29];
+ vX_[314] = 0.160298259823722 * (vX_[309] - vX_[310]) + -0.06337651 * vX_[311] + -0.0022920002 * vX_[312] +
+ vX_[49] * vX_[291] + vX_[63] * vX_[305] + vX_[76] * vX_[304] + vX_[56] * vX_[290] -
+ -0.008711861 * vX_[275] - -0.00021200017 * vX_[276] - 0.0036857284 * (vX_[313] - vX_[278]);
+ vX_[315] = x_in[15] - vX_[314];
+ vX_[316] = (vX_[152] * vX_[315]) / vX_[154];
+ vX_[317] = vX_[45] * vX_[41] - vX_[29] * vX_[54];
+ vX_[318] = 1.52322944854339e-09 * vX_[275] + 0.0036857284 * vX_[276] + -0.00021200017 * (vX_[277] - vX_[278]) +
+ vX_[48] * vX_[291] + vX_[49] * vX_[305] + vX_[77] * vX_[304] + vX_[57] * vX_[290] + vX_[156] * vX_[280] +
+ vX_[158] * vX_[287] + vX_[174] * vX_[283] + vX_[186] * vX_[308] + vX_[316] -
+ 0.160298259823722 * vX_[317] - 0.01404749 * vX_[312] - -0.0022920002 * vX_[311];
+ vX_[319] = (vX_[117] * vX_[296]) / vX_[117];
+ vX_[320] = (-0.00021200017 * vX_[315]) / vX_[154];
+ vX_[286] = -0.008711861 * vX_[317] + 1.52322944854339e-09 * (vX_[310] - vX_[309]) + 0.077424 * vX_[276] +
+ -0.00021200017 * vX_[311] + vX_[319] + vX_[286] + vX_[158] * vX_[280] + vX_[153] * vX_[287] +
+ vX_[150] * vX_[283] + vX_[170] * vX_[308] + vX_[320] - 0.0036857284 * vX_[312] -
+ -0.0022920002 * (vX_[277] - vX_[313]);
+ vX_[321] = (vX_[169] * vX_[315]) / vX_[154];
+ vX_[317] = 1.7423722 * vX_[317] + 0.160298259823722 * vX_[312] + -0.008711861 * vX_[276] + vX_[49] * vX_[290] +
+ vX_[78] * vX_[304] + vX_[39] * vX_[280] + vX_[171] * vX_[287] + vX_[193] * vX_[283] +
+ vX_[199] * vX_[308] + vX_[321] - 1.52322944854339e-09 * (vX_[313] + vX_[278]);
+ vX_[322] = 0 - vX_[23];
+ vX_[323] = vX_[322] * x_in[8];
+ vX_[324] = vX_[18] * x_in[8];
+ vX_[325] = vX_[16] * x_in[8];
+ vX_[326] = 0 - vX_[35];
+ vX_[327] = vX_[326] * x_in[8];
+ vX_[328] = vX_[10] * vX_[35];
+ vX_[329] = vX_[23] * vX_[18];
+ vX_[330] = vX_[23] * vX_[10];
+ vX_[331] = vX_[18] * vX_[18];
+ vX_[332] = -0.0055615274403 * vX_[328] + 0.00750500000000001 * vX_[329] + -0.0037997814 * vX_[330] +
+ vX_[28] * vX_[318] + vX_[26] * vX_[286] - 0.01438086 * vX_[271] - -0.011715295 * vX_[272] -
+ 5.399998e-05 * (vX_[331] - vX_[274]);
+ vX_[333] = x_in[14] - vX_[332];
+ vX_[334] = (vX_[221] * vX_[333]) / vX_[223];
+ vX_[335] = vX_[23] * vX_[16] - vX_[18] * vX_[35];
+ vX_[336] = 0.647967112 * vX_[271] + 5.399998e-05 * vX_[272] + -0.011715295 * (vX_[273] - vX_[274]) +
+ vX_[26] * vX_[318] + vX_[27] * vX_[286] + -0.304 * vX_[317] + vX_[225] * vX_[323] + vX_[235] * vX_[324] +
+ vX_[244] * vX_[325] + vX_[256] * vX_[327] + vX_[334] - -0.0055615274403 * vX_[335] -
+ -0.192033951 * vX_[330] - -0.0037997814 * vX_[329];
+ vX_[328] = 0 - vX_[328];
+ vX_[337] = (vX_[160] * vX_[296]) / vX_[117];
+ vX_[338] = (vX_[172] * vX_[315]) / vX_[154];
+ vX_[313] = 1.7423722 * vX_[275] + 1.52322944854339e-09 * vX_[312] + -0.008711861 * vX_[311] +
+ 2.1032 * (vX_[64] * vX_[59] - vX_[50] * vX_[82]) + vX_[95] * vX_[285] + vX_[68] * vX_[293] +
+ vX_[162] * vX_[299] + vX_[167] * vX_[300] + vX_[163] * vX_[301] + vX_[166] * vX_[303] + vX_[337] +
+ vX_[174] * vX_[280] + vX_[150] * vX_[287] + vX_[204] * vX_[283] + vX_[206] * vX_[308] + vX_[338] -
+ 0.160298259823722 * (vX_[277] + vX_[313]) - 0.057838 * (vX_[295] + vX_[282]);
+ vX_[312] = (vX_[154] * vX_[315]) / vX_[154];
+ vX_[295] = (vX_[184] * vX_[315]) / vX_[154];
+ vX_[311] = -1.7423722 * (vX_[310] - vX_[309]) + 0.160298259823722 * vX_[311] + 1.52322944854339e-09 * vX_[276] +
+ vX_[48] * vX_[290] + vX_[49] * vX_[304] + vX_[186] * vX_[280] + vX_[170] * vX_[287] +
+ vX_[206] * vX_[283] + vX_[202] * vX_[308] + vX_[295] - -0.008711861 * (vX_[277] + vX_[278]);
+ vX_[310] = (vX_[234] * vX_[333]) / vX_[223];
+ vX_[335] = 0.01438086 * vX_[335] + 0.647967112 * vX_[328] + -0.199538951 * vX_[272] + -0.011715295 * vX_[329] +
+ vX_[51] * vX_[313] + -1 * (vX_[314] + vX_[312]) + vX_[38] * vX_[311] + vX_[235] * vX_[323] +
+ vX_[222] * vX_[324] + vX_[219] * vX_[325] + vX_[240] * vX_[327] + vX_[310] - 5.399998e-05 * vX_[330] -
+ -0.0037997814 * (vX_[273] - vX_[331]);
+ vX_[314] = (vX_[242] * vX_[333]) / vX_[223];
+ vX_[331] = 2.327 * vX_[271] + 0.647967112 * vX_[330] + 0.01438086 * vX_[329] + -1 * vX_[317] + vX_[244] * vX_[323] +
+ vX_[219] * vX_[324] + vX_[88] * vX_[325] + vX_[85] * vX_[327] + vX_[314] -
+ -0.0055615274403 * (vX_[273] + vX_[331]);
+ vX_[330] = (vX_[254] * vX_[333]) / vX_[223];
+ vX_[328] = -2.327 * vX_[328] + -0.0055615274403 * vX_[329] + 0.647967112 * vX_[272] + vX_[26] * vX_[311] +
+ vX_[27] * vX_[313] + vX_[256] * vX_[323] + vX_[240] * vX_[324] + vX_[85] * vX_[325] +
+ vX_[44] * vX_[327] + vX_[330] - 0.01438086 * (vX_[273] + vX_[274]);
+ vX_[329] = 0 - vX_[5];
+ vX_[274] = vX_[329] * x_in[7];
+ vX_[273] = vX_[14] * vX_[14];
+ vX_[272] = vX_[5] * x_in[7];
+ vX_[317] = vX_[5] * vX_[14];
+ vX_[271] = -0.022851627 * vX_[268] + 0.0055279857 * (vX_[273] - vX_[270]) + x_in[13] - -0.002752 * vX_[272] -
+ 0.046852534 * vX_[317] - vX_[11] * vX_[336] - vX_[22] * vX_[335] - vX_[34] * vX_[331] -
+ vX_[15] * vX_[328];
+ vX_[309] = (vX_[42] * vX_[271]) / vX_[24];
+ vX_[270] = 0.0055279857 * vX_[268] + -0.022851627 * (vX_[269] - vX_[270]) + vX_[9] * vX_[336] + vX_[11] * vX_[335] +
+ vX_[30] * vX_[331] + vX_[12] * vX_[328] + vX_[13] * vX_[274] + vX_[265] * vX_[268] + vX_[309] -
+ 0.012390532 * vX_[272] - -0.002752 * vX_[317];
+ vX_[278] = -0.022851627 / vX_[24];
+ vX_[98] = 0.039002996 + vX_[66] + vX_[25] - vX_[58] - vX_[98] - -0.022851627 * vX_[278];
+ vX_[58] = (vX_[223] * vX_[333]) / vX_[223];
+ vX_[277] = (-0.022851627 * vX_[271]) / vX_[24];
+ vX_[317] = -0.034462002 * vX_[268] + -0.022851627 * vX_[317] + vX_[58] + vX_[332] + vX_[265] * vX_[274] +
+ vX_[98] * vX_[268] + vX_[277] - 0.0055279857 * vX_[272] - -0.002752 * (vX_[269] - vX_[273]);
+ vX_[227] = vX_[252] * vX_[28] + vX_[253] * vX_[26] + vX_[227];
+ vX_[272] = vX_[227] / vX_[223];
+ vX_[273] = 0 - vX_[26] * vX_[193] - vX_[27] * vX_[87] - vX_[242] * vX_[272];
+ vX_[332] = 0.0055615274403 + vX_[248] * vX_[28] + vX_[251] * vX_[26] - vX_[258] * vX_[273] - vX_[221] * vX_[272];
+ vX_[269] = vX_[74] * vX_[26] + vX_[43] * vX_[27] - vX_[254] * vX_[272];
+ vX_[241] =
+ 0.01438086 + vX_[237] * vX_[28] + vX_[209] * vX_[26] + vX_[241] + vX_[258] * vX_[269] - vX_[234] * vX_[272];
+ vX_[276] = vX_[11] * vX_[241];
+ vX_[282] = -1 * 0.178 * vX_[0];
+ vX_[40] = 2.327 + vX_[203] + vX_[40] - vX_[227] * vX_[272];
+ vX_[275] = vX_[44] - vX_[40];
+ vX_[339] = vX_[22] * vX_[85] + vX_[11] * vX_[275];
+ vX_[340] = vX_[88] - vX_[40];
+ vX_[341] = vX_[11] * vX_[85];
+ vX_[342] = vX_[22] * vX_[340] + vX_[341];
+ vX_[343] = vX_[259] + vX_[240];
+ vX_[344] = vX_[256] - vX_[21];
+ vX_[345] = vX_[22] * vX_[343] + vX_[11] * vX_[344];
+ vX_[346] = vX_[21] + vX_[219];
+ vX_[347] = vX_[79] + vX_[244];
+ vX_[348] = vX_[22] * vX_[346] + vX_[11] * vX_[347];
+ vX_[349] = 0.293374233908935 + vX_[345] * vX_[9] + vX_[348] * vX_[11];
+ vX_[350] = vX_[348] * vX_[22] + vX_[345] * vX_[11];
+ vX_[351] = vX_[350] / vX_[24];
+ vX_[352] = vX_[339] * vX_[9] + vX_[342] * vX_[11] - vX_[349] * vX_[351];
+ vX_[353] = 0 - vX_[332];
+ vX_[354] = vX_[22] * vX_[353] + vX_[276];
+ vX_[355] = vX_[349] / vX_[24];
+ vX_[276] =
+ -0.0099341499912 + vX_[332] * vX_[9] + vX_[276] - vX_[282] * vX_[352] - vX_[354] - -0.022851627 * vX_[355];
+ vX_[356] = vX_[11] * vX_[343] + vX_[9] * vX_[344];
+ vX_[357] = vX_[11] * vX_[346] + vX_[9] * vX_[347];
+ vX_[358] = 0.178 * (0 - vX_[4]);
+ vX_[359] = vX_[358] * vX_[352];
+ vX_[360] = 0 - vX_[269];
+ vX_[361] = vX_[11] * vX_[353] + vX_[9] * vX_[241];
+ vX_[362] = 0.0606159433962 - vX_[361];
+ vX_[363] = 0 - vX_[9] * vX_[273] - vX_[11] * vX_[360] - vX_[362] * vX_[351];
+ vX_[364] = vX_[282] * vX_[363];
+ vX_[365] = vX_[364] - vX_[359];
+ vX_[359] = vX_[356] * vX_[9] + vX_[357] * vX_[11] + vX_[359] - vX_[42] * vX_[355] - vX_[365];
+ vX_[366] = vX_[4] * vX_[276] + vX_[0] * vX_[359];
+ vX_[367] = -1 * 0.178 * vX_[1];
+ vX_[368] = 0.178 * (-vX_[6]);
+ vX_[369] = vX_[368] * vX_[352];
+ vX_[370] = vX_[367] * vX_[363];
+ vX_[371] = vX_[370] - vX_[369];
+ vX_[372] = vX_[362] / vX_[24];
+ vX_[364] = 0 - vX_[364] - -0.022851627 * vX_[372] - vX_[365];
+ vX_[354] = 0.0099341499912 + vX_[354] + vX_[358] * vX_[363] - vX_[42] * vX_[372];
+ vX_[373] = vX_[4] * vX_[364] + vX_[0] * vX_[354];
+ vX_[361] = -0.0606159433962 + vX_[332] * vX_[11] + vX_[241] * vX_[22] + vX_[361] - -0.022851627 * vX_[351];
+ vX_[374] = vX_[342] * vX_[22] + vX_[339] * vX_[11];
+ vX_[375] = 2.5924191 + vX_[40] + vX_[374] - vX_[350] * vX_[351];
+ vX_[376] = 0 - vX_[282] * vX_[375];
+ vX_[377] = -0.293374233908935 + vX_[356] * vX_[11] + vX_[357] * vX_[22] - vX_[42] * vX_[351];
+ vX_[378] = vX_[265] + vX_[361] * vX_[358] + vX_[376] * vX_[358] - vX_[377] * vX_[282];
+ vX_[379] = 2. * vX_[377];
+ vX_[380] = vX_[358] * vX_[375];
+ vX_[381] = vX_[11] * vX_[340] + vX_[9] * vX_[85];
+ vX_[341] = vX_[341] + vX_[9] * vX_[275];
+ vX_[382] = vX_[381] * vX_[11] + vX_[341] * vX_[9];
+ vX_[374] = 2.5924191 + vX_[275] + vX_[340] + vX_[40] - vX_[382] - vX_[374] - vX_[362] * vX_[372];
+ vX_[383] = vX_[11] * vX_[273] + vX_[22] * vX_[360] - vX_[362] * vX_[355];
+ vX_[384] = vX_[282] * vX_[374] - vX_[358] * vX_[383];
+ vX_[382] = 2.5924191 + vX_[40] + vX_[382] - vX_[349] * vX_[355];
+ vX_[40] = vX_[282] * vX_[383] - vX_[358] * vX_[382];
+ vX_[385] = vX_[384] * vX_[282] - vX_[40] * vX_[358];
+ vX_[386] = vX_[379] * vX_[358] + vX_[13] + vX_[380] * vX_[358] - vX_[385];
+ vX_[387] = vX_[4] * vX_[378] + vX_[0] * vX_[386];
+ vX_[388] = 2. * vX_[361];
+ vX_[389] = vX_[98] - vX_[388] * vX_[282] - vX_[376] * vX_[282] - vX_[385];
+ vX_[390] = vX_[4] * vX_[389] + vX_[0] * vX_[378];
+ vX_[385] = 0.007629 + vX_[387] * vX_[0] + vX_[390] * vX_[4] + vX_[385];
+ vX_[365] =
+ (x_in[12] - vX_[0] * vX_[270] - vX_[4] * vX_[317] - 9.81 * (vX_[366] * vX_[0] + vX_[373] * vX_[4] + vX_[365])) /
+ vX_[385];
+ vX_[391] = -vX_[367] * vX_[375];
+ vX_[377] = vX_[361] * vX_[368] + vX_[376] * vX_[368] + vX_[391] * vX_[358] - vX_[377] * vX_[367];
+ vX_[40] = vX_[384] * vX_[367] + (vX_[367] * vX_[374] - vX_[368] * vX_[383]) * vX_[282] -
+ (vX_[40] * vX_[368] + (vX_[367] * vX_[383] - vX_[368] * vX_[382]) * vX_[358]);
+ jac[18] =
+ (0 -
+ (vX_[0] * (0.0055279857 * vX_[3] + -0.022851627 * (0 - vX_[8]) + vX_[9] * vX_[90] + vX_[11] * vX_[31] +
+ vX_[30] * vX_[261] + vX_[12] * vX_[189] + vX_[13] * vX_[264] + vX_[265] * vX_[3] +
+ (vX_[42] * vX_[2]) / vX_[24] - 0.012390532 * vX_[267] - -0.002752 * vX_[7]) +
+ vX_[1] * vX_[270]) -
+ (vX_[4] * (-0.034462002 * vX_[3] + -0.022851627 * vX_[7] + (vX_[223] * vX_[263]) / vX_[223] + vX_[262] +
+ vX_[265] * vX_[264] + vX_[98] * vX_[3] + (-0.022851627 * vX_[2]) / vX_[24] -
+ 0.0055279857 * vX_[267] - -0.002752 * (0 - vX_[266])) +
+ vX_[6] * vX_[317]) -
+ 9.81 * (vX_[366] * vX_[1] +
+ (vX_[4] * (0 - vX_[367] * vX_[352]) + vX_[6] * vX_[276] + vX_[0] * (vX_[369] - vX_[371]) +
+ vX_[1] * vX_[359]) *
+ vX_[0] +
+ vX_[373] * vX_[6] +
+ (vX_[4] * (0 - vX_[370] - vX_[371]) + vX_[6] * vX_[364] + vX_[0] * vX_[368] * vX_[363] +
+ vX_[1] * vX_[354]) *
+ vX_[4] +
+ vX_[371]) -
+ vX_[365] * (vX_[387] * vX_[1] +
+ (vX_[4] * vX_[377] + vX_[6] * vX_[378] +
+ vX_[0] * (vX_[379] * vX_[368] + vX_[380] * vX_[368] + vX_[368] * vX_[375] * vX_[358] -
+ vX_[40]) +
+ vX_[1] * vX_[386]) *
+ vX_[0] +
+ vX_[390] * vX_[6] +
+ (vX_[4] * (0 - vX_[388] * vX_[367] - (vX_[376] * vX_[367] + vX_[391] * vX_[282]) - vX_[40]) +
+ vX_[6] * vX_[389] + vX_[0] * vX_[377] + vX_[1] * vX_[378]) *
+ vX_[4] +
+ vX_[40])) /
+ vX_[385];
+ vX_[264] = vX_[0] * jac[18] + vX_[1] * vX_[365] + vX_[264];
+ vX_[3] = vX_[4] * jac[18] + vX_[6] * vX_[365] + vX_[3];
+ vX_[1] = 9.81 * vX_[1];
+ vX_[6] = 9.81 * vX_[6];
+ jac[19] = (vX_[2] - vX_[42] * vX_[264] - -0.022851627 * vX_[3] - vX_[349] * vX_[1] - vX_[362] * vX_[6]) / vX_[24];
+ vX_[226] = vX_[11] * jac[19] + vX_[9] * vX_[264] + vX_[226];
+ vX_[236] = vX_[22] * jac[19] + vX_[11] * vX_[264] + vX_[236];
+ vX_[257] = vX_[15] * jac[19] + vX_[12] * vX_[264] + vX_[9] * vX_[1] + vX_[257];
+ vX_[1] = vX_[34] * jac[19] + vX_[30] * vX_[264] + vX_[11] * vX_[1] + vX_[245];
+ jac[20] = (vX_[263] - vX_[223] * vX_[3] - vX_[221] * vX_[226] - vX_[234] * vX_[236] - vX_[227] * vX_[6] -
+ vX_[254] * vX_[257] - vX_[242] * vX_[1]) /
+ vX_[223];
+ vX_[263] = -1 * vX_[236];
+ vX_[3] = vX_[3] + jac[20];
+ vX_[157] = vX_[28] * vX_[3] + vX_[26] * vX_[226] + vX_[157];
+ vX_[3] = vX_[26] * vX_[3] + vX_[27] * vX_[226] + vX_[159];
+ vX_[1] = -0.304 * vX_[226] + -1 * vX_[1];
+ vX_[226] = 0 - vX_[27];
+ vX_[187] = vX_[26] * vX_[257] + vX_[38] * vX_[236] + vX_[226] * vX_[6] + vX_[187];
+ vX_[257] = vX_[27] * vX_[257] + vX_[51] * vX_[236] + vX_[26] * vX_[6] + vX_[175];
+ jac[21] = (vX_[192] - vX_[154] * vX_[263] - vX_[152] * vX_[157] - -0.00021200017 * vX_[3] - vX_[169] * vX_[1] -
+ vX_[184] * vX_[187] - vX_[172] * vX_[257]) /
+ vX_[154];
+ vX_[263] = vX_[263] + jac[21];
+ vX_[120] = vX_[49] * vX_[263] + vX_[48] * vX_[157] + vX_[120];
+ vX_[124] = vX_[63] * vX_[263] + vX_[49] * vX_[157] + vX_[124];
+ vX_[133] = vX_[76] * vX_[263] + vX_[77] * vX_[157] + vX_[49] * vX_[187] + vX_[78] * vX_[1] + vX_[133];
+ jac[22] =
+ (vX_[89] - vX_[117] * vX_[3] - vX_[108] * vX_[120] - vX_[122] * vX_[124] - vX_[160] * vX_[257] -
+ vX_[134] * (vX_[56] * vX_[263] + vX_[57] * vX_[157] + vX_[48] * vX_[187] + vX_[49] * vX_[1] + vX_[137]) -
+ vX_[130] * vX_[133]) /
+ vX_[117];
+ vX_[3] = vX_[3] + jac[22];
+ jac[23] = (vX_[93] - 0.009277 * vX_[120] - -0.000829 * (vX_[70] * vX_[3] + vX_[68] * vX_[124] + vX_[99]) -
+ 1.5e-05 * (vX_[68] * vX_[3] + vX_[67] * vX_[124] + vX_[100]) -
+ 0.038686875 * (vX_[68] * vX_[133] + vX_[94] * vX_[120] + vX_[95] * vX_[257] + vX_[101])) /
+ 0.009277;
+ vX_[3] = cos(x_in[2]);
+ vX_[133] = -0.112 * vX_[3];
+ vX_[124] = -1 * sin(x_in[2]);
+ vX_[120] = 0.112 * vX_[124];
+ vX_[257] = vX_[133] * vX_[14] + vX_[120] * x_in[7];
+ vX_[101] = -vX_[10] * vX_[257];
+ vX_[100] = vX_[124] * vX_[14] + vX_[3] * x_in[7];
+ vX_[99] = vX_[100] * vX_[10];
+ vX_[93] = -vX_[124];
+ vX_[263] = vX_[3] * vX_[14] + vX_[93] * x_in[7];
+ vX_[187] = vX_[23] * vX_[263] + vX_[263] * vX_[23];
+ vX_[1] = 0.112 * vX_[124];
+ vX_[157] = 0.112 * vX_[3];
+ vX_[89] = vX_[1] * vX_[14] + vX_[157] * x_in[7];
+ vX_[137] = -0.304 * vX_[100] + -1 * vX_[89];
+ vX_[192] = vX_[26] * vX_[100];
+ vX_[236] = vX_[38] * vX_[263] + vX_[26] * vX_[257];
+ vX_[6] = -1 * vX_[263];
+ vX_[175] = vX_[29] * vX_[137] + vX_[192] * vX_[36] - (vX_[37] * vX_[236] + vX_[6] * vX_[41]);
+ vX_[159] = vX_[29] * vX_[6] + vX_[192] * vX_[37];
+ vX_[264] = vX_[37] * vX_[6] + vX_[6] * vX_[37];
+ vX_[245] = vX_[27] * vX_[100];
+ vX_[2] = vX_[45] * vX_[245] + vX_[245] * vX_[45];
+ vX_[40] = vX_[51] * vX_[263] + vX_[27] * vX_[257];
+ vX_[377] = vX_[48] * vX_[192] + vX_[49] * vX_[6];
+ vX_[391] = vX_[56] * vX_[6] + vX_[57] * vX_[192] + vX_[48] * vX_[236] + vX_[49] * vX_[137];
+ vX_[390] = vX_[50] * vX_[40] + vX_[377] * vX_[54] - (vX_[55] * vX_[391] + vX_[245] * vX_[59]);
+ vX_[389] = vX_[50] * vX_[245] + vX_[377] * vX_[55];
+ vX_[388] = vX_[55] * vX_[245] + vX_[245] * vX_[55];
+ vX_[387] = vX_[49] * vX_[192] + vX_[63] * vX_[6];
+ vX_[386] = vX_[64] * vX_[387] + vX_[387] * vX_[64];
+ vX_[380] = vX_[68] * vX_[387] + vX_[70] * vX_[245];
+ vX_[379] = vX_[67] * vX_[387] + vX_[68] * vX_[245];
+ vX_[378] = vX_[69] * vX_[380] + vX_[379] * vX_[73];
+ vX_[376] = vX_[76] * vX_[6] + vX_[77] * vX_[192] + vX_[49] * vX_[236] + vX_[78] * vX_[137];
+ vX_[375] = vX_[67] * vX_[376] + vX_[80] * vX_[377] + vX_[68] * vX_[40];
+ vX_[373] = vX_[75] * vX_[375] + vX_[377] * vX_[83];
+ vX_[354] = 0.02075 * vX_[245] + -0.184 * vX_[387] + vX_[391];
+ vX_[364] = vX_[69] * vX_[354] + vX_[379] * vX_[86];
+ vX_[371] = vX_[69] * vX_[377] + vX_[379] * vX_[75];
+ vX_[370] = vX_[73] * vX_[377] + vX_[380] * vX_[75];
+ vX_[369] = vX_[73] * vX_[380] + vX_[380] * vX_[73];
+ vX_[368] = vX_[69] * vX_[379] + vX_[379] * vX_[69];
+ vX_[367] = -0.00751 * vX_[378] + 0.038686875 * (vX_[373] - vX_[364]) + -0.000829 * vX_[371] - 1.5e-05 * vX_[370] -
+ 0.000198 * (vX_[369] - vX_[368]);
+ vX_[366] = 0 - vX_[367];
+ vX_[359] = vX_[68] * vX_[376] + vX_[94] * vX_[377] + vX_[95] * vX_[40];
+ vX_[363] = vX_[75] * vX_[377] + vX_[377] * vX_[75];
+ vX_[354] = 1.547475 * (vX_[73] * vX_[354] + vX_[380] * vX_[86] - (vX_[75] * vX_[359] + vX_[377] * vX_[97])) +
+ 1.547475 * vX_[359] * x_in[11] - 0.038686875 * (vX_[363] + vX_[369]);
+ vX_[276] = (-vX_[379]) * x_in[11];
+ vX_[352] = vX_[380] * x_in[11];
+ vX_[317] = (-vX_[375]) * x_in[11];
+ vX_[364] = 0.038686875 * vX_[378] + -1.547475 * (vX_[364] - vX_[373]) + 0.00345708950900075 * vX_[276] +
+ -6.25528861700981e-05 * vX_[352] + 1.38614328745655 * vX_[317] + (0.038686875 * vX_[366]) / 0.009277;
+ vX_[373] = (-vX_[387]) * x_in[10];
+ vX_[270] = vX_[377] * x_in[10];
+ vX_[7] = vX_[391] * x_in[10];
+ vX_[267] = (-vX_[376]) * x_in[10];
+ vX_[266] = vX_[64] * vX_[245] + vX_[387] * vX_[55];
+ vX_[189] = vX_[64] * vX_[377] + vX_[387] * vX_[50];
+ vX_[359] = vX_[69] * vX_[359] + vX_[379] * vX_[97] - (vX_[73] * vX_[375] + vX_[380] * vX_[83]);
+ vX_[368] = 0.000198 * vX_[370] + 1.5e-05 * (vX_[363] - vX_[368]) + 0.00315291990945349 * vX_[276] +
+ 0.000199340411771047 * vX_[352] + 0.00345708950900075 * vX_[317] + (-0.000829 * vX_[366]) / 0.009277 -
+ 0.038686875 * vX_[359] - -0.00146 * vX_[371] - -0.000829 * vX_[378];
+ vX_[363] = 0.00605 * vX_[370] + 1.5e-05 * vX_[378] + 0.000199340411771047 * vX_[276] +
+ 0.0107369757464698 * vX_[352] + -6.25528861700981e-05 * vX_[317] + (1.5e-05 * vX_[366]) / 0.009277 -
+ 0.000198 * vX_[371] - -0.000829 * (vX_[363] - vX_[369]);
+ vX_[359] = 0.038686875 * vX_[371] + 1.547475 * vX_[359] + -0.038686875 * vX_[276];
+ vX_[371] = vX_[50] * vX_[377] + vX_[377] * vX_[50];
+ vX_[369] = -0.001243 * vX_[266] + 0.009683 * vX_[189] + vX_[70] * vX_[368] + vX_[68] * vX_[363] +
+ 0.02075 * vX_[359] - -0.012652 * vX_[389] - -0.001387 * (vX_[371] - vX_[386]);
+ vX_[370] = 0 - vX_[369];
+ vX_[367] = 0.057838 * vX_[390] + -0.001387 * vX_[389] + -0.012652 * (vX_[388] - vX_[386]) +
+ (0.009277 * vX_[366]) / 0.009277 + vX_[367] + vX_[80] * vX_[354] + vX_[94] * vX_[364] +
+ vX_[119] * vX_[373] + vX_[123] * vX_[270] + vX_[132] * vX_[7] + vX_[136] * vX_[267] +
+ (vX_[108] * vX_[370]) / vX_[117] - -0.008386 * vX_[266] - -0.001243 * vX_[189];
+ vX_[378] = vX_[64] * vX_[40] + vX_[387] * vX_[54] - (vX_[55] * vX_[376] + vX_[245] * vX_[82]);
+ vX_[363] = -0.018069 * vX_[389] + 0.057838 * vX_[378] + -0.012652 * vX_[189] + vX_[68] * vX_[368] +
+ vX_[67] * vX_[363] + -0.184 * vX_[359] + vX_[123] * vX_[373] + vX_[116] * vX_[270] + vX_[72] * vX_[7] +
+ vX_[128] * vX_[267] + (vX_[122] * vX_[370]) / vX_[117] - -0.001387 * vX_[266] -
+ -0.001243 * (vX_[388] - vX_[371]);
+ vX_[266] = 0.057838 * vX_[266] + 2.1032 * vX_[390] + vX_[68] * vX_[364] + vX_[67] * vX_[354] + vX_[132] * vX_[373] +
+ vX_[72] * vX_[270] + vX_[62] * vX_[7] + vX_[71] * vX_[267] + (vX_[130] * vX_[370]) / vX_[117];
+ vX_[378] = 0.057838 * vX_[389] + -2.1032 * vX_[378] + vX_[359] + vX_[136] * vX_[373] + vX_[128] * vX_[270] +
+ vX_[71] * vX_[7] + vX_[60] * vX_[267] + (vX_[134] * vX_[370]) / vX_[117];
+ vX_[359] = (-vX_[245]) * x_in[9];
+ vX_[389] = vX_[192] * x_in[9];
+ vX_[390] = vX_[236] * x_in[9];
+ vX_[368] = (-vX_[40]) * x_in[9];
+ vX_[189] = vX_[37] * vX_[40] + vX_[6] * vX_[54];
+ vX_[137] = vX_[45] * vX_[137] + vX_[245] * vX_[36];
+ vX_[388] = vX_[45] * vX_[192] + vX_[245] * vX_[29];
+ vX_[6] = vX_[45] * vX_[6] + vX_[245] * vX_[37];
+ vX_[375] = vX_[29] * vX_[192] + vX_[192] * vX_[29];
+ vX_[379] = 0.160298259823722 * (vX_[189] - vX_[137]) + -0.06337651 * vX_[388] + -0.0022920002 * vX_[6] +
+ vX_[49] * vX_[367] + vX_[63] * vX_[363] + vX_[76] * vX_[266] + vX_[56] * vX_[378] -
+ -0.008711861 * vX_[175] - -0.00021200017 * vX_[159] - 0.0036857284 * (vX_[375] - vX_[2]);
+ vX_[380] = 0 - vX_[379];
+ vX_[40] = vX_[45] * vX_[236] + vX_[245] * vX_[41] - (vX_[29] * vX_[40] + vX_[192] * vX_[54]);
+ vX_[363] = 1.52322944854339e-09 * vX_[175] + 0.0036857284 * vX_[159] + -0.00021200017 * (vX_[264] - vX_[2]) +
+ vX_[48] * vX_[367] + vX_[49] * vX_[363] + vX_[77] * vX_[266] + vX_[57] * vX_[378] + vX_[156] * vX_[359] +
+ vX_[158] * vX_[389] + vX_[174] * vX_[390] + vX_[186] * vX_[368] + (vX_[152] * vX_[380]) / vX_[154] -
+ 0.160298259823722 * vX_[40] - 0.01404749 * vX_[6] - -0.0022920002 * vX_[388];
+ vX_[369] = -0.008711861 * vX_[40] + 1.52322944854339e-09 * (vX_[137] - vX_[189]) + 0.077424 * vX_[159] +
+ -0.00021200017 * vX_[388] + (vX_[117] * vX_[370]) / vX_[117] + vX_[369] + vX_[158] * vX_[359] +
+ vX_[153] * vX_[389] + vX_[150] * vX_[390] + vX_[170] * vX_[368] +
+ (-0.00021200017 * vX_[380]) / vX_[154] - 0.0036857284 * vX_[6] - -0.0022920002 * (vX_[264] - vX_[375]);
+ vX_[40] = 1.7423722 * vX_[40] + 0.160298259823722 * vX_[6] + -0.008711861 * vX_[159] + vX_[49] * vX_[378] +
+ vX_[78] * vX_[266] + vX_[39] * vX_[359] + vX_[171] * vX_[389] + vX_[193] * vX_[390] +
+ vX_[199] * vX_[368] + (vX_[169] * vX_[380]) / vX_[154] - 1.52322944854339e-09 * (vX_[375] + vX_[2]);
+ vX_[367] = (-vX_[263]) * x_in[8];
+ vX_[245] = vX_[100] * x_in[8];
+ vX_[236] = vX_[257] * x_in[8];
+ vX_[192] = (-vX_[89]) * x_in[8];
+ vX_[261] = vX_[10] * vX_[89];
+ vX_[31] = vX_[23] * vX_[100] + vX_[263] * vX_[18];
+ vX_[90] = vX_[263] * vX_[10];
+ vX_[262] = vX_[18] * vX_[100] + vX_[100] * vX_[18];
+ vX_[8] = -0.0055615274403 * vX_[261] + 0.00750500000000001 * vX_[31] + -0.0037997814 * vX_[90] +
+ vX_[28] * vX_[363] + vX_[26] * vX_[369] - 0.01438086 * vX_[101] - -0.011715295 * vX_[99] -
+ 5.399998e-05 * (vX_[262] - vX_[187]);
+ vX_[382] = 0 - vX_[8];
+ vX_[89] = vX_[23] * vX_[257] + vX_[263] * vX_[16] - (vX_[18] * vX_[89] + vX_[100] * vX_[35]);
+ vX_[369] = 0.647967112 * vX_[101] + 5.399998e-05 * vX_[99] + -0.011715295 * (0 - vX_[187]) + vX_[26] * vX_[363] +
+ vX_[27] * vX_[369] + -0.304 * vX_[40] + vX_[225] * vX_[367] + vX_[235] * vX_[245] + vX_[244] * vX_[236] +
+ vX_[256] * vX_[192] + (vX_[221] * vX_[382]) / vX_[223] - -0.0055615274403 * vX_[89] -
+ -0.192033951 * vX_[90] - -0.0037997814 * vX_[31];
+ vX_[261] = -vX_[261];
+ vX_[375] = 1.7423722 * vX_[175] + 1.52322944854339e-09 * vX_[6] + -0.008711861 * vX_[388] +
+ 2.1032 * (vX_[64] * vX_[391] + vX_[387] * vX_[59] - (vX_[50] * vX_[376] + vX_[377] * vX_[82])) +
+ vX_[95] * vX_[364] + vX_[68] * vX_[354] + vX_[162] * vX_[373] + vX_[167] * vX_[270] + vX_[163] * vX_[7] +
+ vX_[166] * vX_[267] + (vX_[160] * vX_[370]) / vX_[117] + vX_[174] * vX_[359] + vX_[150] * vX_[389] +
+ vX_[204] * vX_[390] + vX_[206] * vX_[368] + (vX_[172] * vX_[380]) / vX_[154] -
+ 0.160298259823722 * (vX_[264] + vX_[375]) - 0.057838 * (vX_[371] + vX_[386]);
+ vX_[388] = -1.7423722 * (vX_[137] - vX_[189]) + 0.160298259823722 * vX_[388] + 1.52322944854339e-09 * vX_[159] +
+ vX_[48] * vX_[378] + vX_[49] * vX_[266] + vX_[186] * vX_[359] + vX_[170] * vX_[389] +
+ vX_[206] * vX_[390] + vX_[202] * vX_[368] + (vX_[184] * vX_[380]) / vX_[154] -
+ -0.008711861 * (vX_[264] + vX_[2]);
+ vX_[89] = 0.01438086 * vX_[89] + 0.647967112 * vX_[261] + -0.199538951 * vX_[99] + -0.011715295 * vX_[31] +
+ vX_[51] * vX_[375] + -1 * (vX_[379] + (vX_[154] * vX_[380]) / vX_[154]) + vX_[38] * vX_[388] +
+ vX_[235] * vX_[367] + vX_[222] * vX_[245] + vX_[219] * vX_[236] + vX_[240] * vX_[192] +
+ (vX_[234] * vX_[382]) / vX_[223] - 5.399998e-05 * vX_[90] - -0.0037997814 * (0 - vX_[262]);
+ vX_[262] = 2.327 * vX_[101] + 0.647967112 * vX_[90] + 0.01438086 * vX_[31] + -1 * vX_[40] + vX_[244] * vX_[367] +
+ vX_[219] * vX_[245] + vX_[88] * vX_[236] + vX_[85] * vX_[192] + (vX_[242] * vX_[382]) / vX_[223] -
+ -0.0055615274403 * vX_[262];
+ vX_[388] = -2.327 * vX_[261] + -0.0055615274403 * vX_[31] + 0.647967112 * vX_[99] + vX_[26] * vX_[388] +
+ vX_[27] * vX_[375] + vX_[256] * vX_[367] + vX_[240] * vX_[245] + vX_[85] * vX_[236] +
+ vX_[44] * vX_[192] + (vX_[254] * vX_[382]) / vX_[223] - 0.01438086 * vX_[187];
+ vX_[375] = vX_[11] * vX_[133] + vX_[3] * vX_[12] + vX_[22] * vX_[120] + vX_[93] * vX_[15];
+ vX_[261] = vX_[375] * vX_[44];
+ vX_[259] = vX_[190] * vX_[375] + vX_[259] * vX_[375] + vX_[261] * vX_[258];
+ vX_[190] = vX_[375] * vX_[85];
+ vX_[21] = vX_[256] * vX_[375] - vX_[219] * vX_[375] - (vX_[21] * vX_[375] + vX_[190] * vX_[258]);
+ vX_[31] = vX_[11] * vX_[21] + vX_[3] * vX_[20];
+ vX_[187] = -vX_[375] * vX_[88];
+ vX_[79] = 0 - vX_[17] * vX_[375] - (vX_[79] * vX_[375] + vX_[187] * vX_[258]);
+ vX_[65] = vX_[260] * vX_[3] +
+ (vX_[11] * vX_[259] + vX_[3] * vX_[25] + vX_[9] * vX_[21] + vX_[124] * vX_[20]) * vX_[11] +
+ vX_[65] * vX_[124] + (vX_[31] + vX_[9] * vX_[79] + vX_[124] * vX_[66]) * vX_[9];
+ vX_[21] = vX_[22] * vX_[21] + vX_[93] * vX_[20] + vX_[11] * vX_[79] + vX_[3] * vX_[66];
+ vX_[31] = vX_[22] * vX_[259] + vX_[93] * vX_[25] + vX_[31];
+ vX_[25] = vX_[53] * vX_[124] + vX_[21] * vX_[9] + vX_[52] * vX_[3] + vX_[31] * vX_[11];
+ vX_[31] = vX_[52] * vX_[93] + vX_[31] * vX_[22] + vX_[53] * vX_[3] + vX_[21] * vX_[11];
+ vX_[21] = (vX_[25] - vX_[19] * vX_[31]) / vX_[24];
+ vX_[52] = vX_[65] - (vX_[42] * vX_[21] + vX_[25] * vX_[19]);
+ vX_[21] = --0.022851627 * vX_[21];
+ vX_[53] = 0 - (vX_[11] * vX_[369] + vX_[3] * vX_[336]) - (vX_[22] * vX_[89] + vX_[93] * vX_[335]) -
+ (vX_[34] * vX_[262] + vX_[157] * vX_[331]) - (vX_[15] * vX_[388] + vX_[120] * vX_[328]);
+ vX_[65] = vX_[79] + vX_[259] - vX_[65] - vX_[31] - -0.022851627 * ((-vX_[278]) * vX_[31]) / vX_[24];
+ vX_[79] = 0 - vX_[375] * vX_[273];
+ vX_[375] = vX_[375] * vX_[269];
+ vX_[269] = vX_[11] * vX_[375] + vX_[3] * vX_[241];
+ vX_[259] = vX_[93] * vX_[85] + vX_[3] * vX_[275];
+ vX_[66] = vX_[3] * vX_[85];
+ vX_[20] = vX_[93] * vX_[340] + vX_[66];
+ vX_[260] = vX_[22] * vX_[190] + vX_[93] * vX_[346] + vX_[11] * vX_[187] + vX_[3] * vX_[347];
+ vX_[17] = 0 - vX_[190];
+ vX_[99] = vX_[22] * vX_[261] + vX_[93] * vX_[343] + vX_[11] * vX_[17] + vX_[3] * vX_[344];
+ vX_[90] = vX_[348] * vX_[93] + vX_[260] * vX_[22] + vX_[345] * vX_[3] + vX_[99] * vX_[11];
+ vX_[40] = (vX_[90] - vX_[351] * vX_[31]) / vX_[24];
+ vX_[99] = vX_[345] * vX_[124] + vX_[99] * vX_[9] + vX_[348] * vX_[3] + vX_[260] * vX_[11];
+ vX_[260] = vX_[339] * vX_[124] + vX_[259] * vX_[9] + vX_[342] * vX_[3] + vX_[20] * vX_[11] -
+ (vX_[349] * vX_[40] + vX_[99] * vX_[351]);
+ vX_[348] = -vX_[79];
+ vX_[345] = vX_[22] * vX_[348] + vX_[93] * vX_[353] + vX_[269];
+ vX_[101] = (vX_[99] - vX_[355] * vX_[31]) / vX_[24];
+ vX_[17] = vX_[11] * vX_[261] + vX_[3] * vX_[343] + vX_[9] * vX_[17] + vX_[124] * vX_[344];
+ vX_[187] = vX_[11] * vX_[190] + vX_[3] * vX_[346] + vX_[9] * vX_[187] + vX_[124] * vX_[347];
+ vX_[190] = vX_[358] * vX_[260];
+ vX_[348] = vX_[11] * vX_[348] + vX_[3] * vX_[353] + vX_[9] * vX_[375] + vX_[124] * vX_[241];
+ vX_[353] = 0 - vX_[348];
+ vX_[347] = 0 - vX_[124] * vX_[273] - vX_[3] * vX_[360] - (vX_[362] * vX_[40] + vX_[353] * vX_[351]);
+ vX_[346] = vX_[282] * vX_[347];
+ vX_[261] = vX_[346] - vX_[190];
+ vX_[344] = (vX_[353] - vX_[372] * vX_[31]) / vX_[24];
+ vX_[348] = vX_[332] * vX_[3] + vX_[79] * vX_[11] + vX_[241] * vX_[93] + vX_[375] * vX_[22] + vX_[348] -
+ -0.022851627 * vX_[40];
+ vX_[20] = vX_[342] * vX_[93] + vX_[20] * vX_[22] + vX_[339] * vX_[3] + vX_[259] * vX_[11];
+ vX_[90] = vX_[20] - (vX_[350] * vX_[40] + vX_[90] * vX_[351]);
+ vX_[259] = -vX_[282] * vX_[90];
+ vX_[40] = vX_[356] * vX_[3] + vX_[17] * vX_[11] + vX_[357] * vX_[93] + vX_[187] * vX_[22] -
+ (vX_[42] * vX_[40] + vX_[25] * vX_[351]);
+ vX_[342] = vX_[21] + vX_[348] * vX_[358] + vX_[259] * vX_[358] - vX_[40] * vX_[282];
+ vX_[66] = vX_[381] * vX_[3] + (vX_[3] * vX_[340] + vX_[124] * vX_[85]) * vX_[11] + vX_[341] * vX_[124] +
+ (vX_[66] + vX_[124] * vX_[275]) * vX_[9];
+ vX_[360] = vX_[3] * vX_[273] + vX_[93] * vX_[360] - (vX_[362] * vX_[101] + vX_[353] * vX_[355]);
+ vX_[360] =
+ (vX_[282] * (0 - vX_[66] - vX_[20] - (vX_[362] * vX_[344] + vX_[353] * vX_[372])) - vX_[358] * vX_[360]) *
+ vX_[282] -
+ (vX_[282] * vX_[360] - vX_[358] * (vX_[66] - (vX_[349] * vX_[101] + vX_[99] * vX_[355]))) * vX_[358];
+ jac[30] =
+ (0 -
+ vX_[0] *
+ (vX_[9] * vX_[369] + vX_[124] * vX_[336] + vX_[11] * vX_[89] + vX_[3] * vX_[335] + vX_[30] * vX_[262] +
+ vX_[1] * vX_[331] + vX_[12] * vX_[388] + vX_[133] * vX_[328] + vX_[52] * vX_[274] +
+ vX_[21] * vX_[268] + (vX_[42] * vX_[53] + vX_[25] * vX_[271] - vX_[309] * vX_[31]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[382]) / vX_[223] + vX_[8] + vX_[21] * vX_[274] + vX_[65] * vX_[268] +
+ (-0.022851627 * vX_[53] - vX_[277] * vX_[31]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[332] * vX_[124] + vX_[79] * vX_[9] + vX_[269] - vX_[282] * vX_[260] - vX_[345] -
+ -0.022851627 * vX_[101]) +
+ vX_[0] * (vX_[356] * vX_[124] + vX_[17] * vX_[9] + vX_[357] * vX_[3] + vX_[187] * vX_[11] +
+ vX_[190] - (vX_[42] * vX_[101] + vX_[25] * vX_[355]) - vX_[261])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[346] - -0.022851627 * vX_[344] - vX_[261]) +
+ vX_[0] * (vX_[345] + vX_[358] * vX_[347] - (vX_[42] * vX_[344] + vX_[25] * vX_[372]))) *
+ vX_[4] +
+ vX_[261]) -
+ vX_[365] * ((vX_[4] * vX_[342] +
+ vX_[0] * (2. * vX_[40] * vX_[358] + vX_[52] + vX_[358] * vX_[90] * vX_[358] - vX_[360])) *
+ vX_[0] +
+ (vX_[4] * (vX_[65] - 2. * vX_[348] * vX_[282] - vX_[259] * vX_[282] - vX_[360]) +
+ vX_[0] * vX_[342]) *
+ vX_[4] +
+ vX_[360])) /
+ vX_[385];
+ vX_[360] = vX_[0] * jac[30];
+ vX_[342] = vX_[0] * vX_[365] + vX_[274];
+ vX_[40] = vX_[4] * jac[30];
+ vX_[259] = 9.81 * vX_[0];
+ vX_[90] = 9.81 * vX_[4];
+ vX_[348] = vX_[4] * vX_[365] + vX_[268];
+ vX_[344] =
+ (vX_[271] - vX_[42] * vX_[342] - -0.022851627 * vX_[348] - vX_[349] * vX_[259] - vX_[362] * vX_[90]) / vX_[24];
+ jac[31] = (vX_[53] - (vX_[42] * vX_[360] + vX_[25] * vX_[342]) - -0.022851627 * vX_[40] - vX_[99] * vX_[259] -
+ vX_[353] * vX_[90] - vX_[344] * vX_[31]) /
+ vX_[24];
+ vX_[367] = vX_[11] * jac[31] + vX_[3] * vX_[344] + vX_[9] * vX_[360] + vX_[124] * vX_[342] + vX_[367];
+ vX_[245] = vX_[22] * jac[31] + vX_[93] * vX_[344] + vX_[11] * vX_[360] + vX_[3] * vX_[342] + vX_[245];
+ vX_[192] = vX_[15] * jac[31] + vX_[120] * vX_[344] + vX_[12] * vX_[360] + vX_[133] * vX_[342] +
+ vX_[124] * vX_[259] + vX_[192];
+ vX_[360] =
+ vX_[34] * jac[31] + vX_[157] * vX_[344] + vX_[30] * vX_[360] + vX_[1] * vX_[342] + vX_[3] * vX_[259] + vX_[236];
+ jac[32] = (vX_[382] - vX_[223] * vX_[40] - vX_[221] * vX_[367] - vX_[234] * vX_[245] - vX_[254] * vX_[192] -
+ vX_[242] * vX_[360]) /
+ vX_[223];
+ vX_[382] = -1 * vX_[245];
+ vX_[40] = vX_[40] + jac[32];
+ vX_[359] = vX_[28] * vX_[40] + vX_[26] * vX_[367] + vX_[359];
+ vX_[40] = vX_[26] * vX_[40] + vX_[27] * vX_[367] + vX_[389];
+ vX_[360] = -0.304 * vX_[367] + -1 * vX_[360];
+ vX_[368] = vX_[26] * vX_[192] + vX_[38] * vX_[245] + vX_[368];
+ vX_[192] = vX_[27] * vX_[192] + vX_[51] * vX_[245] + vX_[390];
+ jac[33] = (vX_[380] - vX_[154] * vX_[382] - vX_[152] * vX_[359] - -0.00021200017 * vX_[40] - vX_[169] * vX_[360] -
+ vX_[184] * vX_[368] - vX_[172] * vX_[192]) /
+ vX_[154];
+ vX_[382] = vX_[382] + jac[33];
+ vX_[373] = vX_[49] * vX_[382] + vX_[48] * vX_[359] + vX_[373];
+ vX_[270] = vX_[63] * vX_[382] + vX_[49] * vX_[359] + vX_[270];
+ vX_[7] = vX_[76] * vX_[382] + vX_[77] * vX_[359] + vX_[49] * vX_[368] + vX_[78] * vX_[360] + vX_[7];
+ jac[34] =
+ (vX_[370] - vX_[117] * vX_[40] - vX_[108] * vX_[373] - vX_[122] * vX_[270] - vX_[160] * vX_[192] -
+ vX_[134] * (vX_[56] * vX_[382] + vX_[57] * vX_[359] + vX_[48] * vX_[368] + vX_[49] * vX_[360] + vX_[267]) -
+ vX_[130] * vX_[7]) /
+ vX_[117];
+ vX_[40] = vX_[40] + jac[34];
+ jac[35] = (vX_[366] - 0.009277 * vX_[373] - -0.000829 * (vX_[70] * vX_[40] + vX_[68] * vX_[270] + vX_[276]) -
+ 1.5e-05 * (vX_[68] * vX_[40] + vX_[67] * vX_[270] + vX_[352]) -
+ 0.038686875 * (vX_[68] * vX_[7] + vX_[94] * vX_[373] + vX_[95] * vX_[192] + vX_[317])) /
+ 0.009277;
+ vX_[40] = -1 * sin(x_in[3]);
+ vX_[7] = cos(x_in[3]);
+ vX_[270] = -vX_[7];
+ vX_[373] = vX_[40] * vX_[18] + vX_[270] * vX_[10];
+ vX_[192] = -0.304 * vX_[40];
+ vX_[317] = vX_[192] * vX_[23] + vX_[40] * vX_[16];
+ vX_[352] = vX_[373] * vX_[36] - vX_[37] * vX_[317];
+ vX_[276] = vX_[373] * vX_[37];
+ vX_[366] = vX_[7] * vX_[18] + vX_[40] * vX_[10];
+ vX_[382] = vX_[45] * vX_[366] + vX_[366] * vX_[45];
+ vX_[368] = -0.304 * vX_[7];
+ vX_[360] = vX_[368] * vX_[23] + vX_[7] * vX_[16];
+ vX_[359] = vX_[48] * vX_[373];
+ vX_[370] = vX_[57] * vX_[373] + vX_[48] * vX_[317];
+ vX_[267] = vX_[50] * vX_[360] + vX_[359] * vX_[54] - (vX_[55] * vX_[370] + vX_[366] * vX_[59]);
+ vX_[380] = vX_[50] * vX_[366] + vX_[359] * vX_[55];
+ vX_[245] = vX_[55] * vX_[366] + vX_[366] * vX_[55];
+ vX_[390] = vX_[49] * vX_[373];
+ vX_[367] = vX_[64] * vX_[390] + vX_[390] * vX_[64];
+ vX_[389] = vX_[68] * vX_[390] + vX_[70] * vX_[366];
+ vX_[236] = vX_[67] * vX_[390] + vX_[68] * vX_[366];
+ vX_[157] = vX_[69] * vX_[389] + vX_[236] * vX_[73];
+ vX_[1] = vX_[77] * vX_[373] + vX_[49] * vX_[317];
+ vX_[3] = vX_[67] * vX_[1] + vX_[80] * vX_[359] + vX_[68] * vX_[360];
+ vX_[120] = vX_[75] * vX_[3] + vX_[359] * vX_[83];
+ vX_[124] = 0.02075 * vX_[366] + -0.184 * vX_[390] + vX_[370];
+ vX_[133] = vX_[69] * vX_[124] + vX_[236] * vX_[86];
+ vX_[93] = vX_[69] * vX_[359] + vX_[236] * vX_[75];
+ vX_[353] = vX_[73] * vX_[359] + vX_[389] * vX_[75];
+ vX_[99] = vX_[73] * vX_[389] + vX_[389] * vX_[73];
+ vX_[53] = vX_[69] * vX_[236] + vX_[236] * vX_[69];
+ vX_[31] = -0.00751 * vX_[157] + 0.038686875 * (vX_[120] - vX_[133]) + -0.000829 * vX_[93] - 1.5e-05 * vX_[353] -
+ 0.000198 * (vX_[99] - vX_[53]);
+ vX_[25] = 0 - vX_[31];
+ vX_[261] = vX_[68] * vX_[1] + vX_[94] * vX_[359] + vX_[95] * vX_[360];
+ vX_[346] = vX_[75] * vX_[359] + vX_[359] * vX_[75];
+ vX_[124] = 1.547475 * (vX_[73] * vX_[124] + vX_[389] * vX_[86] - (vX_[75] * vX_[261] + vX_[359] * vX_[97])) +
+ 1.547475 * vX_[261] * x_in[11] - 0.038686875 * (vX_[346] + vX_[99]);
+ vX_[347] = (-vX_[236]) * x_in[11];
+ vX_[190] = vX_[389] * x_in[11];
+ vX_[187] = (-vX_[3]) * x_in[11];
+ vX_[133] = 0.038686875 * vX_[157] + -1.547475 * (vX_[133] - vX_[120]) + 0.00345708950900075 * vX_[347] +
+ -6.25528861700981e-05 * vX_[190] + 1.38614328745655 * vX_[187] + (0.038686875 * vX_[25]) / 0.009277;
+ vX_[120] = (-vX_[390]) * x_in[10];
+ vX_[17] = vX_[359] * x_in[10];
+ vX_[101] = vX_[370] * x_in[10];
+ vX_[345] = (-vX_[1]) * x_in[10];
+ vX_[260] = vX_[64] * vX_[366] + vX_[390] * vX_[55];
+ vX_[269] = vX_[64] * vX_[359] + vX_[390] * vX_[50];
+ vX_[261] = vX_[69] * vX_[261] + vX_[236] * vX_[97] - (vX_[73] * vX_[3] + vX_[389] * vX_[83]);
+ vX_[53] = 0.000198 * vX_[353] + 1.5e-05 * (vX_[346] - vX_[53]) + 0.00315291990945349 * vX_[347] +
+ 0.000199340411771047 * vX_[190] + 0.00345708950900075 * vX_[187] + (-0.000829 * vX_[25]) / 0.009277 -
+ 0.038686875 * vX_[261] - -0.00146 * vX_[93] - -0.000829 * vX_[157];
+ vX_[346] = 0.00605 * vX_[353] + 1.5e-05 * vX_[157] + 0.000199340411771047 * vX_[347] +
+ 0.0107369757464698 * vX_[190] + -6.25528861700981e-05 * vX_[187] + (1.5e-05 * vX_[25]) / 0.009277 -
+ 0.000198 * vX_[93] - -0.000829 * (vX_[346] - vX_[99]);
+ vX_[261] = 0.038686875 * vX_[93] + 1.547475 * vX_[261] + -0.038686875 * vX_[347];
+ vX_[93] = vX_[50] * vX_[359] + vX_[359] * vX_[50];
+ vX_[99] = -0.001243 * vX_[260] + 0.009683 * vX_[269] + vX_[70] * vX_[53] + vX_[68] * vX_[346] + 0.02075 * vX_[261] -
+ -0.012652 * vX_[380] - -0.001387 * (vX_[93] - vX_[367]);
+ vX_[353] = 0 - vX_[99];
+ vX_[31] = 0.057838 * vX_[267] + -0.001387 * vX_[380] + -0.012652 * (vX_[245] - vX_[367]) +
+ (0.009277 * vX_[25]) / 0.009277 + vX_[31] + vX_[80] * vX_[124] + vX_[94] * vX_[133] +
+ vX_[119] * vX_[120] + vX_[123] * vX_[17] + vX_[132] * vX_[101] + vX_[136] * vX_[345] +
+ (vX_[108] * vX_[353]) / vX_[117] - -0.008386 * vX_[260] - -0.001243 * vX_[269];
+ vX_[157] = vX_[64] * vX_[360] + vX_[390] * vX_[54] - (vX_[55] * vX_[1] + vX_[366] * vX_[82]);
+ vX_[346] = -0.018069 * vX_[380] + 0.057838 * vX_[157] + -0.012652 * vX_[269] + vX_[68] * vX_[53] +
+ vX_[67] * vX_[346] + -0.184 * vX_[261] + vX_[123] * vX_[120] + vX_[116] * vX_[17] + vX_[72] * vX_[101] +
+ vX_[128] * vX_[345] + (vX_[122] * vX_[353]) / vX_[117] - -0.001387 * vX_[260] -
+ -0.001243 * (vX_[245] - vX_[93]);
+ vX_[260] = 0.057838 * vX_[260] + 2.1032 * vX_[267] + vX_[68] * vX_[133] + vX_[67] * vX_[124] + vX_[132] * vX_[120] +
+ vX_[72] * vX_[17] + vX_[62] * vX_[101] + vX_[71] * vX_[345] + (vX_[130] * vX_[353]) / vX_[117];
+ vX_[157] = 0.057838 * vX_[380] + -2.1032 * vX_[157] + vX_[261] + vX_[136] * vX_[120] + vX_[128] * vX_[17] +
+ vX_[71] * vX_[101] + vX_[60] * vX_[345] + (vX_[134] * vX_[353]) / vX_[117];
+ vX_[261] = (-vX_[366]) * x_in[9];
+ vX_[380] = vX_[373] * x_in[9];
+ vX_[267] = vX_[317] * x_in[9];
+ vX_[53] = (-vX_[360]) * x_in[9];
+ vX_[269] = vX_[37] * vX_[360];
+ vX_[245] = vX_[366] * vX_[36];
+ vX_[3] = vX_[45] * vX_[373] + vX_[366] * vX_[29];
+ vX_[236] = vX_[366] * vX_[37];
+ vX_[389] = vX_[29] * vX_[373] + vX_[373] * vX_[29];
+ vX_[79] = 0.160298259823722 * (vX_[269] - vX_[245]) + -0.06337651 * vX_[3] + -0.0022920002 * vX_[236] +
+ vX_[49] * vX_[31] + vX_[63] * vX_[346] + vX_[76] * vX_[260] + vX_[56] * vX_[157] -
+ -0.008711861 * vX_[352] - -0.00021200017 * vX_[276] - 0.0036857284 * (vX_[389] - vX_[382]);
+ vX_[65] = 0 - vX_[79];
+ vX_[360] = vX_[45] * vX_[317] + vX_[366] * vX_[41] - (vX_[29] * vX_[360] + vX_[373] * vX_[54]);
+ vX_[346] = 1.52322944854339e-09 * vX_[352] + 0.0036857284 * vX_[276] + -0.00021200017 * (0 - vX_[382]) +
+ vX_[48] * vX_[31] + vX_[49] * vX_[346] + vX_[77] * vX_[260] + vX_[57] * vX_[157] + vX_[156] * vX_[261] +
+ vX_[158] * vX_[380] + vX_[174] * vX_[267] + vX_[186] * vX_[53] + (vX_[152] * vX_[65]) / vX_[154] -
+ 0.160298259823722 * vX_[360] - 0.01404749 * vX_[236] - -0.0022920002 * vX_[3];
+ vX_[99] = -0.008711861 * vX_[360] + 1.52322944854339e-09 * (vX_[245] - vX_[269]) + 0.077424 * vX_[276] +
+ -0.00021200017 * vX_[3] + (vX_[117] * vX_[353]) / vX_[117] + vX_[99] + vX_[158] * vX_[261] +
+ vX_[153] * vX_[380] + vX_[150] * vX_[267] + vX_[170] * vX_[53] + (-0.00021200017 * vX_[65]) / vX_[154] -
+ 0.0036857284 * vX_[236] - -0.0022920002 * (0 - vX_[389]);
+ vX_[360] = 1.7423722 * vX_[360] + 0.160298259823722 * vX_[236] + -0.008711861 * vX_[276] + vX_[49] * vX_[157] +
+ vX_[78] * vX_[260] + vX_[39] * vX_[261] + vX_[171] * vX_[380] + vX_[193] * vX_[267] +
+ vX_[199] * vX_[53] + (vX_[169] * vX_[65]) / vX_[154] - 1.52322944854339e-09 * (vX_[389] + vX_[382]);
+ vX_[31] = -1 * vX_[368];
+ vX_[366] = -0.304 * vX_[40];
+ vX_[317] = vX_[31] * vX_[204] - vX_[366] * vX_[206];
+ vX_[373] = vX_[31] * vX_[206] - vX_[366] * vX_[202];
+ vX_[208] = vX_[207] * vX_[31] + vX_[317] * vX_[200] - (vX_[208] * vX_[366] + vX_[373] * vX_[205]);
+ vX_[207] = -vX_[31] * vX_[203];
+ vX_[210] = 0 - vX_[210] * vX_[31] - (vX_[139] * vX_[31] + vX_[207] * vX_[200]) - vX_[208];
+ vX_[139] = vX_[171] * vX_[366] + vX_[139] * vX_[366] + vX_[207] * vX_[205] - vX_[39] * vX_[31];
+ vX_[21] = vX_[26] * vX_[139] + vX_[40] * vX_[212];
+ vX_[203] = vX_[366] * vX_[203];
+ vX_[216] = vX_[215] * vX_[366] + vX_[216] * vX_[366] + vX_[203] * vX_[205] - vX_[208];
+ vX_[218] = vX_[214] * vX_[7] + (vX_[27] * vX_[210] + vX_[7] * vX_[211] + vX_[21]) * vX_[27] + vX_[218] * vX_[40] +
+ (vX_[27] * vX_[139] + vX_[7] * vX_[212] + vX_[26] * vX_[216] + vX_[40] * vX_[217]) * vX_[26];
+ vX_[21] = vX_[21] + vX_[28] * vX_[216] + vX_[270] * vX_[217];
+ vX_[139] = vX_[26] * vX_[210] + vX_[40] * vX_[211] + vX_[28] * vX_[139] + vX_[270] * vX_[212];
+ vX_[212] = vX_[213] * vX_[40] + vX_[21] * vX_[26] + vX_[220] * vX_[7] + vX_[139] * vX_[27];
+ vX_[139] = vX_[220] * vX_[40] + vX_[139] * vX_[26] + vX_[213] * vX_[270] + vX_[21] * vX_[28];
+ vX_[21] = vX_[208] + vX_[139];
+ vX_[220] = (vX_[212] - vX_[224] * vX_[21]) / vX_[223];
+ vX_[213] = vX_[208] + vX_[218] - (vX_[221] * vX_[220] + vX_[212] * vX_[224]);
+ vX_[211] = vX_[31] * vX_[193];
+ vX_[217] = -vX_[211];
+ vX_[214] = -vX_[31] * vX_[199];
+ vX_[229] = vX_[150] * vX_[31] + vX_[228] * vX_[31] + vX_[217] * vX_[200] - vX_[170] * vX_[366] -
+ (vX_[229] * vX_[366] + vX_[214] * vX_[205]);
+ vX_[228] = vX_[366] * vX_[199];
+ vX_[215] = vX_[366] * vX_[193];
+ vX_[366] = vX_[186] * vX_[366] + vX_[231] * vX_[366] + vX_[228] * vX_[205] - vX_[174] * vX_[31] -
+ (vX_[232] * vX_[31] + vX_[215] * vX_[200]);
+ vX_[31] = 0 - (vX_[26] * vX_[229] + vX_[40] * vX_[230]) - (vX_[27] * vX_[366] + vX_[7] * vX_[233]);
+ vX_[366] = vX_[28] * vX_[229] + vX_[270] * vX_[230] + vX_[26] * vX_[366] + vX_[40] * vX_[233] -
+ (vX_[234] * vX_[220] + vX_[31] * vX_[224]);
+ vX_[229] = -vX_[203];
+ vX_[220] = vX_[26] * vX_[229] + vX_[40] * vX_[238] + vX_[28] * vX_[207] + vX_[270] * vX_[239];
+ vX_[229] = vX_[27] * vX_[229] + vX_[7] * vX_[238] + vX_[26] * vX_[207] + vX_[40] * vX_[239];
+ vX_[239] = 0 - vX_[229];
+ vX_[238] = (vX_[239] - vX_[243] * vX_[21]) / vX_[223];
+ vX_[233] = vX_[220] - (vX_[221] * vX_[238] + vX_[212] * vX_[243]);
+ vX_[211] = vX_[211] - vX_[228];
+ vX_[228] = vX_[228] - vX_[211];
+ vX_[230] = vX_[27] * vX_[214] + vX_[7] * vX_[246] + vX_[26] * vX_[228] + vX_[40] * vX_[247];
+ vX_[217] = vX_[217] - vX_[211];
+ vX_[232] = vX_[27] * vX_[217] + vX_[7] * vX_[249] + vX_[26] * vX_[215] + vX_[40] * vX_[250];
+ vX_[228] = vX_[26] * vX_[214] + vX_[40] * vX_[246] + vX_[28] * vX_[228] + vX_[270] * vX_[247];
+ vX_[217] = vX_[26] * vX_[217] + vX_[40] * vX_[249] + vX_[28] * vX_[215] + vX_[270] * vX_[250];
+ vX_[215] = vX_[252] * vX_[40] + vX_[228] * vX_[26] + vX_[253] * vX_[7] + vX_[217] * vX_[27];
+ vX_[250] = (vX_[215] - vX_[255] * vX_[21]) / vX_[223];
+ vX_[249] = vX_[248] * vX_[40] + vX_[230] * vX_[26] + vX_[251] * vX_[7] + vX_[232] * vX_[27] + vX_[211] -
+ (vX_[221] * vX_[250] + vX_[212] * vX_[255]);
+ vX_[214] = vX_[28] * vX_[346] + vX_[270] * vX_[318] + vX_[26] * vX_[99] + vX_[40] * vX_[286];
+ vX_[247] = 0 - vX_[214];
+ vX_[99] = vX_[26] * vX_[346] + vX_[40] * vX_[318] + vX_[27] * vX_[99] + vX_[7] * vX_[286] + -0.304 * vX_[360] +
+ vX_[213] * vX_[323] + vX_[366] * vX_[324] + vX_[233] * vX_[325] + vX_[249] * vX_[327] +
+ (vX_[221] * vX_[247] + vX_[212] * vX_[333] - vX_[334] * vX_[21]) / vX_[223];
+ vX_[389] = 1.7423722 * vX_[352] + 1.52322944854339e-09 * vX_[236] + -0.008711861 * vX_[3] +
+ 2.1032 * (vX_[64] * vX_[370] + vX_[390] * vX_[59] - (vX_[50] * vX_[1] + vX_[359] * vX_[82])) +
+ vX_[95] * vX_[133] + vX_[68] * vX_[124] + vX_[162] * vX_[120] + vX_[167] * vX_[17] +
+ vX_[163] * vX_[101] + vX_[166] * vX_[345] + (vX_[160] * vX_[353]) / vX_[117] + vX_[174] * vX_[261] +
+ vX_[150] * vX_[380] + vX_[204] * vX_[267] + vX_[206] * vX_[53] + (vX_[172] * vX_[65]) / vX_[154] -
+ 0.160298259823722 * vX_[389] - 0.057838 * (vX_[93] + vX_[367]);
+ vX_[3] = -1.7423722 * (vX_[245] - vX_[269]) + 0.160298259823722 * vX_[3] + 1.52322944854339e-09 * vX_[276] +
+ vX_[48] * vX_[157] + vX_[49] * vX_[260] + vX_[186] * vX_[261] + vX_[170] * vX_[380] + vX_[206] * vX_[267] +
+ vX_[202] * vX_[53] + (vX_[184] * vX_[65]) / vX_[154] - -0.008711861 * vX_[382];
+ vX_[139] = vX_[216] + vX_[210] + vX_[208] - vX_[218] - vX_[139] -
+ (vX_[234] * (vX_[31] - vX_[32] * vX_[21]) / vX_[223] + vX_[31] * vX_[32]);
+ vX_[218] = vX_[211] - (vX_[234] * vX_[238] + vX_[31] * vX_[243]);
+ vX_[203] = -1 * (vX_[373] + vX_[203]);
+ vX_[207] = -1 * (vX_[317] + vX_[207]);
+ vX_[220] = vX_[237] * vX_[40] + vX_[203] * vX_[26] + vX_[209] * vX_[7] + vX_[207] * vX_[27] - vX_[220] -
+ (vX_[234] * vX_[250] + vX_[31] * vX_[255]);
+ vX_[79] = vX_[51] * vX_[389] + vX_[368] * vX_[313] + -1 * (vX_[79] + (vX_[154] * vX_[65]) / vX_[154]) +
+ vX_[38] * vX_[3] + vX_[192] * vX_[311] + vX_[366] * vX_[323] + vX_[139] * vX_[324] + vX_[218] * vX_[325] +
+ vX_[220] * vX_[327] + (vX_[234] * vX_[247] + vX_[31] * vX_[333] - vX_[310] * vX_[21]) / vX_[223];
+ vX_[317] = vX_[40] * vX_[206];
+ vX_[47] = vX_[138] * vX_[7] + (vX_[7] * vX_[188] + vX_[317]) * vX_[27] + vX_[47] * vX_[40] +
+ (vX_[7] * vX_[206] + vX_[40] * vX_[191]) * vX_[26];
+ vX_[188] = vX_[40] * vX_[188] + vX_[270] * vX_[206];
+ vX_[317] = vX_[317] + vX_[270] * vX_[191];
+ vX_[191] = vX_[43] * vX_[40] + vX_[188] * vX_[26] + vX_[74] * vX_[270] + vX_[317] * vX_[28];
+ vX_[238] = 0 - vX_[47] - vX_[191] - (vX_[242] * vX_[238] + vX_[239] * vX_[243]);
+ vX_[138] = vX_[270] * vX_[193] + vX_[40] * vX_[87] - (vX_[242] * vX_[250] + vX_[239] * vX_[255]);
+ vX_[360] = -1 * vX_[360] + vX_[233] * vX_[323] + vX_[218] * vX_[324] + vX_[238] * vX_[325] + vX_[138] * vX_[327] +
+ (vX_[242] * vX_[247] + vX_[239] * vX_[333] - vX_[314] * vX_[21]) / vX_[223];
+ vX_[47] = vX_[47] - (vX_[254] * vX_[250] + vX_[215] * vX_[255]);
+ vX_[3] = vX_[26] * vX_[3] + vX_[40] * vX_[311] + vX_[27] * vX_[389] + vX_[7] * vX_[313] + vX_[249] * vX_[323] +
+ vX_[220] * vX_[324] + vX_[138] * vX_[325] + vX_[47] * vX_[327] +
+ (vX_[254] * vX_[247] + vX_[215] * vX_[333] - vX_[330] * vX_[21]) / vX_[223];
+ vX_[389] = vX_[258] * vX_[47];
+ vX_[139] = 2. * vX_[220] * vX_[258] + vX_[139] + vX_[389] * vX_[258];
+ vX_[311] = vX_[258] * vX_[138];
+ vX_[366] = vX_[249] * vX_[258] + vX_[366] - vX_[218] * vX_[258] - vX_[311] * vX_[258];
+ vX_[313] = vX_[11] * vX_[366];
+ vX_[250] = -vX_[258] * vX_[238];
+ vX_[213] = vX_[213] - 2. * vX_[233] * vX_[258] - vX_[250] * vX_[258];
+ vX_[373] = (vX_[11] * vX_[139] + vX_[9] * vX_[366]) * vX_[11] + (vX_[313] + vX_[9] * vX_[213]) * vX_[9];
+ vX_[366] = vX_[22] * vX_[366] + vX_[11] * vX_[213];
+ vX_[313] = vX_[22] * vX_[139] + vX_[313];
+ vX_[216] = vX_[366] * vX_[9] + vX_[313] * vX_[11];
+ vX_[313] = vX_[313] * vX_[22] + vX_[366] * vX_[11];
+ vX_[366] = (vX_[216] - vX_[19] * vX_[313]) / vX_[24];
+ vX_[210] = vX_[373] - (vX_[42] * vX_[366] + vX_[216] * vX_[19]);
+ vX_[366] = --0.022851627 * vX_[366];
+ vX_[208] = 0 - vX_[11] * vX_[99] - vX_[22] * vX_[79] - vX_[34] * vX_[360] - vX_[15] * vX_[3];
+ vX_[373] = vX_[213] + vX_[139] - vX_[373] - vX_[313] - -0.022851627 * ((-vX_[278]) * vX_[313]) / vX_[24];
+ vX_[217] = vX_[252] * vX_[270] + vX_[228] * vX_[28] + vX_[253] * vX_[40] + vX_[217] * vX_[26] + vX_[211];
+ vX_[228] = (vX_[217] - vX_[272] * vX_[21]) / vX_[223];
+ vX_[87] = 0 - vX_[40] * vX_[193] - vX_[7] * vX_[87] - (vX_[242] * vX_[228] + vX_[239] * vX_[272]);
+ vX_[232] = vX_[248] * vX_[270] + vX_[230] * vX_[28] + vX_[251] * vX_[40] + vX_[232] * vX_[26] - vX_[258] * vX_[87] -
+ (vX_[221] * vX_[228] + vX_[212] * vX_[272]);
+ vX_[317] = vX_[74] * vX_[40] + vX_[317] * vX_[26] + vX_[43] * vX_[7] + vX_[188] * vX_[27] -
+ (vX_[254] * vX_[228] + vX_[215] * vX_[272]);
+ vX_[207] = vX_[237] * vX_[270] + vX_[203] * vX_[28] + vX_[209] * vX_[40] + vX_[207] * vX_[26] + vX_[229] +
+ vX_[258] * vX_[317] - (vX_[234] * vX_[228] + vX_[31] * vX_[272]);
+ vX_[203] = vX_[11] * vX_[207];
+ vX_[228] = vX_[191] - (vX_[227] * vX_[228] + vX_[217] * vX_[272]);
+ vX_[47] = vX_[47] - vX_[228];
+ vX_[191] = vX_[22] * vX_[138] + vX_[11] * vX_[47];
+ vX_[238] = vX_[238] - vX_[228];
+ vX_[229] = vX_[11] * vX_[138];
+ vX_[209] = vX_[22] * vX_[238] + vX_[229];
+ vX_[218] = vX_[311] + vX_[218];
+ vX_[250] = vX_[250] + vX_[233];
+ vX_[233] = vX_[22] * vX_[218] + vX_[11] * vX_[250];
+ vX_[389] = vX_[389] + vX_[220];
+ vX_[311] = vX_[249] - vX_[311];
+ vX_[249] = vX_[22] * vX_[389] + vX_[11] * vX_[311];
+ vX_[220] = vX_[233] * vX_[22] + vX_[249] * vX_[11];
+ vX_[237] = (vX_[220] - vX_[351] * vX_[313]) / vX_[24];
+ vX_[249] = vX_[249] * vX_[9] + vX_[233] * vX_[11];
+ vX_[233] = vX_[191] * vX_[9] + vX_[209] * vX_[11] - (vX_[349] * vX_[237] + vX_[249] * vX_[351]);
+ vX_[188] = -vX_[232];
+ vX_[74] = vX_[22] * vX_[188] + vX_[203];
+ vX_[43] = (vX_[249] - vX_[355] * vX_[313]) / vX_[24];
+ vX_[311] = vX_[11] * vX_[389] + vX_[9] * vX_[311];
+ vX_[250] = vX_[11] * vX_[218] + vX_[9] * vX_[250];
+ vX_[218] = vX_[358] * vX_[233];
+ vX_[317] = -vX_[317];
+ vX_[188] = vX_[11] * vX_[188] + vX_[9] * vX_[207];
+ vX_[389] = 0 - vX_[188];
+ vX_[230] = 0 - vX_[9] * vX_[87] - vX_[11] * vX_[317] - (vX_[362] * vX_[237] + vX_[389] * vX_[351]);
+ vX_[251] = vX_[282] * vX_[230];
+ vX_[248] = vX_[251] - vX_[218];
+ vX_[211] = (vX_[389] - vX_[372] * vX_[313]) / vX_[24];
+ vX_[188] = vX_[232] * vX_[11] + vX_[207] * vX_[22] + vX_[188] - -0.022851627 * vX_[237];
+ vX_[209] = vX_[209] * vX_[22] + vX_[191] * vX_[11];
+ vX_[220] = vX_[228] + vX_[209] - (vX_[350] * vX_[237] + vX_[220] * vX_[351]);
+ vX_[191] = -vX_[282] * vX_[220];
+ vX_[237] = vX_[311] * vX_[11] + vX_[250] * vX_[22] - (vX_[42] * vX_[237] + vX_[216] * vX_[351]);
+ vX_[207] = vX_[366] + vX_[188] * vX_[358] + vX_[191] * vX_[358] - vX_[237] * vX_[282];
+ vX_[229] = (vX_[11] * vX_[238] + vX_[9] * vX_[138]) * vX_[11] + (vX_[229] + vX_[9] * vX_[47]) * vX_[9];
+ vX_[317] = vX_[11] * vX_[87] + vX_[22] * vX_[317] - (vX_[362] * vX_[43] + vX_[389] * vX_[355]);
+ vX_[317] = (vX_[282] * (vX_[47] + vX_[238] + vX_[228] - vX_[229] - vX_[209] -
+ (vX_[362] * vX_[211] + vX_[389] * vX_[372])) -
+ vX_[358] * vX_[317]) *
+ vX_[282] -
+ (vX_[282] * vX_[317] - vX_[358] * (vX_[228] + vX_[229] - (vX_[349] * vX_[43] + vX_[249] * vX_[355]))) *
+ vX_[358];
+ jac[42] =
+ (0 -
+ vX_[0] *
+ (vX_[9] * vX_[99] + vX_[11] * vX_[79] + vX_[30] * vX_[360] + vX_[12] * vX_[3] + vX_[210] * vX_[274] +
+ vX_[366] * vX_[268] + (vX_[42] * vX_[208] + vX_[216] * vX_[271] - vX_[309] * vX_[313]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[247] + vX_[21] * vX_[333] - vX_[58] * vX_[21]) / vX_[223] + vX_[214] +
+ vX_[366] * vX_[274] + vX_[373] * vX_[268] +
+ (-0.022851627 * vX_[208] - vX_[277] * vX_[313]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[232] * vX_[9] + vX_[203] - vX_[282] * vX_[233] - vX_[74] - -0.022851627 * vX_[43]) +
+ vX_[0] * (vX_[311] * vX_[9] + vX_[250] * vX_[11] + vX_[218] -
+ (vX_[42] * vX_[43] + vX_[216] * vX_[355]) - vX_[248])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[251] - -0.022851627 * vX_[211] - vX_[248]) +
+ vX_[0] * (vX_[74] + vX_[358] * vX_[230] - (vX_[42] * vX_[211] + vX_[216] * vX_[372]))) *
+ vX_[4] +
+ vX_[248]) -
+ vX_[365] * ((vX_[4] * vX_[207] + vX_[0] * (2. * vX_[237] * vX_[358] + vX_[210] +
+ vX_[358] * vX_[220] * vX_[358] - vX_[317])) *
+ vX_[0] +
+ (vX_[4] * (vX_[373] - 2. * vX_[188] * vX_[282] - vX_[191] * vX_[282] - vX_[317]) +
+ vX_[0] * vX_[207]) *
+ vX_[4] +
+ vX_[317])) /
+ vX_[385];
+ vX_[317] = vX_[0] * jac[42];
+ vX_[207] = vX_[4] * jac[42];
+ jac[43] = (vX_[208] - (vX_[42] * vX_[317] + vX_[216] * vX_[342]) - -0.022851627 * vX_[207] - vX_[249] * vX_[259] -
+ vX_[389] * vX_[90] - vX_[344] * vX_[313]) /
+ vX_[24];
+ vX_[389] = vX_[11] * jac[43] + vX_[9] * vX_[317];
+ vX_[249] = vX_[11] * vX_[344] + vX_[9] * vX_[342] + vX_[323];
+ vX_[208] = vX_[22] * jac[43] + vX_[11] * vX_[317];
+ vX_[313] = vX_[22] * vX_[344] + vX_[11] * vX_[342] + vX_[324];
+ vX_[216] = vX_[15] * jac[43] + vX_[12] * vX_[317];
+ vX_[237] = vX_[15] * vX_[344] + vX_[12] * vX_[342] + vX_[9] * vX_[259] + vX_[327];
+ vX_[317] = vX_[34] * jac[43] + vX_[30] * vX_[317];
+ vX_[191] = vX_[34] * vX_[344] + vX_[30] * vX_[342] + vX_[11] * vX_[259] + vX_[325];
+ vX_[220] = (vX_[333] - vX_[223] * vX_[348] - vX_[221] * vX_[249] - vX_[234] * vX_[313] - vX_[227] * vX_[90] -
+ vX_[254] * vX_[237] - vX_[242] * vX_[191]) /
+ vX_[223];
+ jac[44] = (vX_[247] - (vX_[223] * vX_[207] + vX_[21] * vX_[348]) - (vX_[221] * vX_[389] + vX_[212] * vX_[249]) -
+ (vX_[234] * vX_[208] + vX_[31] * vX_[313]) - vX_[217] * vX_[90] -
+ (vX_[254] * vX_[216] + vX_[215] * vX_[237]) - (vX_[242] * vX_[317] + vX_[239] * vX_[191]) -
+ vX_[220] * vX_[21]) /
+ vX_[223];
+ vX_[217] = -1 * vX_[208];
+ vX_[207] = vX_[207] + jac[44];
+ vX_[247] = vX_[348] + vX_[220];
+ vX_[261] = vX_[28] * vX_[207] + vX_[270] * vX_[247] + vX_[26] * vX_[389] + vX_[40] * vX_[249] + vX_[261];
+ vX_[207] = vX_[26] * vX_[207] + vX_[40] * vX_[247] + vX_[27] * vX_[389] + vX_[7] * vX_[249] + vX_[380];
+ vX_[317] = -0.304 * vX_[389] + -1 * vX_[317];
+ vX_[53] = vX_[26] * vX_[216] + vX_[40] * vX_[237] + vX_[38] * vX_[208] + vX_[192] * vX_[313] + (-vX_[7]) * vX_[90] +
+ vX_[53];
+ vX_[216] = vX_[27] * vX_[216] + vX_[7] * vX_[237] + vX_[51] * vX_[208] + vX_[368] * vX_[313] + vX_[40] * vX_[90] +
+ vX_[267];
+ jac[45] = (vX_[65] - vX_[154] * vX_[217] - vX_[152] * vX_[261] - -0.00021200017 * vX_[207] - vX_[169] * vX_[317] -
+ vX_[184] * vX_[53] - vX_[172] * vX_[216]) /
+ vX_[154];
+ vX_[217] = vX_[217] + jac[45];
+ vX_[120] = vX_[49] * vX_[217] + vX_[48] * vX_[261] + vX_[120];
+ vX_[17] = vX_[63] * vX_[217] + vX_[49] * vX_[261] + vX_[17];
+ vX_[101] = vX_[76] * vX_[217] + vX_[77] * vX_[261] + vX_[49] * vX_[53] + vX_[78] * vX_[317] + vX_[101];
+ jac[46] =
+ (vX_[353] - vX_[117] * vX_[207] - vX_[108] * vX_[120] - vX_[122] * vX_[17] - vX_[160] * vX_[216] -
+ vX_[134] * (vX_[56] * vX_[217] + vX_[57] * vX_[261] + vX_[48] * vX_[53] + vX_[49] * vX_[317] + vX_[345]) -
+ vX_[130] * vX_[101]) /
+ vX_[117];
+ vX_[207] = vX_[207] + jac[46];
+ jac[47] = (vX_[25] - 0.009277 * vX_[120] - -0.000829 * (vX_[70] * vX_[207] + vX_[68] * vX_[17] + vX_[347]) -
+ 1.5e-05 * (vX_[68] * vX_[207] + vX_[67] * vX_[17] + vX_[190]) -
+ 0.038686875 * (vX_[68] * vX_[101] + vX_[94] * vX_[120] + vX_[95] * vX_[216] + vX_[187])) /
+ 0.009277;
+ vX_[207] = -1 * sin(x_in[4]);
+ vX_[101] = cos(x_in[4]);
+ vX_[17] = vX_[207] * vX_[29] + vX_[101] * vX_[37];
+ vX_[120] = 0.112 * vX_[207];
+ vX_[216] = -0.112 * vX_[101];
+ vX_[187] = vX_[120] * vX_[37] + vX_[216] * vX_[29] + vX_[207] * vX_[41] + vX_[101] * vX_[36];
+ vX_[190] = vX_[17] * vX_[54] - vX_[55] * vX_[187];
+ vX_[347] = vX_[17] * vX_[55];
+ vX_[25] = -vX_[207];
+ vX_[217] = vX_[101] * vX_[29] + vX_[25] * vX_[37];
+ vX_[53] = vX_[64] * vX_[217] + vX_[217] * vX_[64];
+ vX_[317] = vX_[68] * vX_[217];
+ vX_[261] = vX_[67] * vX_[217];
+ vX_[353] = vX_[69] * vX_[317] + vX_[261] * vX_[73];
+ vX_[345] = 0.112 * vX_[101];
+ vX_[65] = 0.112 * vX_[207];
+ vX_[208] = -vX_[207];
+ vX_[267] = vX_[345] * vX_[37] + vX_[65] * vX_[29] + vX_[101] * vX_[41] + vX_[208] * vX_[36];
+ vX_[368] = vX_[67] * vX_[267] + vX_[80] * vX_[17];
+ vX_[7] = vX_[75] * vX_[368] + vX_[17] * vX_[83];
+ vX_[40] = -0.184 * vX_[217] + vX_[187];
+ vX_[192] = vX_[69] * vX_[40] + vX_[261] * vX_[86];
+ vX_[389] = vX_[69] * vX_[17] + vX_[261] * vX_[75];
+ vX_[380] = vX_[73] * vX_[17] + vX_[317] * vX_[75];
+ vX_[270] = vX_[73] * vX_[317] + vX_[317] * vX_[73];
+ vX_[215] = vX_[69] * vX_[261] + vX_[261] * vX_[69];
+ vX_[239] = -0.00751 * vX_[353] + 0.038686875 * (vX_[7] - vX_[192]) + -0.000829 * vX_[389] - 1.5e-05 * vX_[380] -
+ 0.000198 * (vX_[270] - vX_[215]);
+ vX_[31] = 0 - vX_[239];
+ vX_[21] = vX_[68] * vX_[267] + vX_[94] * vX_[17];
+ vX_[212] = vX_[75] * vX_[17] + vX_[17] * vX_[75];
+ vX_[40] = 1.547475 * (vX_[73] * vX_[40] + vX_[317] * vX_[86] - (vX_[75] * vX_[21] + vX_[17] * vX_[97])) +
+ 1.547475 * vX_[21] * x_in[11] - 0.038686875 * (vX_[212] + vX_[270]);
+ vX_[188] = (-vX_[261]) * x_in[11];
+ vX_[211] = vX_[317] * x_in[11];
+ vX_[248] = (-vX_[368]) * x_in[11];
+ vX_[192] = 0.038686875 * vX_[353] + -1.547475 * (vX_[192] - vX_[7]) + 0.00345708950900075 * vX_[188] +
+ -6.25528861700981e-05 * vX_[211] + 1.38614328745655 * vX_[248] + (0.038686875 * vX_[31]) / 0.009277;
+ vX_[7] = (-vX_[217]) * x_in[10];
+ vX_[251] = vX_[17] * x_in[10];
+ vX_[230] = vX_[187] * x_in[10];
+ vX_[218] = (-vX_[267]) * x_in[10];
+ vX_[250] = vX_[217] * vX_[55];
+ vX_[311] = vX_[64] * vX_[17] + vX_[217] * vX_[50];
+ vX_[21] = vX_[69] * vX_[21] + vX_[261] * vX_[97] - (vX_[73] * vX_[368] + vX_[317] * vX_[83]);
+ vX_[215] = 0.000198 * vX_[380] + 1.5e-05 * (vX_[212] - vX_[215]) + 0.00315291990945349 * vX_[188] +
+ 0.000199340411771047 * vX_[211] + 0.00345708950900075 * vX_[248] + (-0.000829 * vX_[31]) / 0.009277 -
+ 0.038686875 * vX_[21] - -0.00146 * vX_[389] - -0.000829 * vX_[353];
+ vX_[212] = 0.00605 * vX_[380] + 1.5e-05 * vX_[353] + 0.000199340411771047 * vX_[188] +
+ 0.0107369757464698 * vX_[211] + -6.25528861700981e-05 * vX_[248] + (1.5e-05 * vX_[31]) / 0.009277 -
+ 0.000198 * vX_[389] - -0.000829 * (vX_[212] - vX_[270]);
+ vX_[21] = 0.038686875 * vX_[389] + 1.547475 * vX_[21] + -0.038686875 * vX_[188];
+ vX_[389] = vX_[50] * vX_[17] + vX_[17] * vX_[50];
+ vX_[270] = -0.001243 * vX_[250] + 0.009683 * vX_[311] + vX_[70] * vX_[215] + vX_[68] * vX_[212] +
+ 0.02075 * vX_[21] - -0.012652 * vX_[347] - -0.001387 * (vX_[389] - vX_[53]);
+ vX_[380] = 0 - vX_[270];
+ vX_[239] = 0.057838 * vX_[190] + -0.001387 * vX_[347] + -0.012652 * (0 - vX_[53]) +
+ (0.009277 * vX_[31]) / 0.009277 + vX_[239] + vX_[80] * vX_[40] + vX_[94] * vX_[192] + vX_[119] * vX_[7] +
+ vX_[123] * vX_[251] + vX_[132] * vX_[230] + vX_[136] * vX_[218] + (vX_[108] * vX_[380]) / vX_[117] -
+ -0.008386 * vX_[250] - -0.001243 * vX_[311];
+ vX_[353] = vX_[217] * vX_[54] - vX_[55] * vX_[267];
+ vX_[212] = -0.018069 * vX_[347] + 0.057838 * vX_[353] + -0.012652 * vX_[311] + vX_[68] * vX_[215] +
+ vX_[67] * vX_[212] + -0.184 * vX_[21] + vX_[123] * vX_[7] + vX_[116] * vX_[251] + vX_[72] * vX_[230] +
+ vX_[128] * vX_[218] + (vX_[122] * vX_[380]) / vX_[117] - -0.001387 * vX_[250] -
+ -0.001243 * (0 - vX_[389]);
+ vX_[250] = 0.057838 * vX_[250] + 2.1032 * vX_[190] + vX_[68] * vX_[192] + vX_[67] * vX_[40] + vX_[132] * vX_[7] +
+ vX_[72] * vX_[251] + vX_[62] * vX_[230] + vX_[71] * vX_[218] + (vX_[130] * vX_[380]) / vX_[117];
+ vX_[353] = 0.057838 * vX_[347] + -2.1032 * vX_[353] + vX_[21] + vX_[136] * vX_[7] + vX_[128] * vX_[251] +
+ vX_[71] * vX_[230] + vX_[60] * vX_[218] + (vX_[134] * vX_[380]) / vX_[117];
+ vX_[21] = vX_[49] * vX_[216] + vX_[101] * vX_[57] + vX_[63] * vX_[120] + vX_[25] * vX_[56];
+ vX_[347] = vX_[21] * vX_[60];
+ vX_[140] = vX_[96] * vX_[21] + vX_[140] * vX_[21] + vX_[347] * vX_[61];
+ vX_[96] = vX_[21] * vX_[71];
+ vX_[142] = vX_[136] * vX_[21] - vX_[72] * vX_[21] - (vX_[142] * vX_[21] + vX_[96] * vX_[61]);
+ vX_[190] = vX_[49] * vX_[142] + vX_[101] * vX_[143];
+ vX_[215] = -vX_[21] * vX_[62];
+ vX_[147] = 0 - vX_[146] * vX_[21] - (vX_[147] * vX_[21] + vX_[215] * vX_[61]);
+ vX_[149] = vX_[144] * vX_[101] +
+ (vX_[49] * vX_[140] + vX_[101] * vX_[141] + vX_[48] * vX_[142] + vX_[207] * vX_[143]) * vX_[49] +
+ vX_[149] * vX_[207] + (vX_[190] + vX_[48] * vX_[147] + vX_[207] * vX_[148]) * vX_[48];
+ vX_[142] = vX_[63] * vX_[142] + vX_[25] * vX_[143] + vX_[49] * vX_[147] + vX_[101] * vX_[148];
+ vX_[190] = vX_[63] * vX_[140] + vX_[25] * vX_[141] + vX_[190];
+ vX_[141] = vX_[151] * vX_[207] + vX_[142] * vX_[48] + vX_[145] * vX_[101] + vX_[190] * vX_[49];
+ vX_[190] = vX_[145] * vX_[25] + vX_[190] * vX_[63] + vX_[151] * vX_[101] + vX_[142] * vX_[49];
+ vX_[142] = (vX_[141] - vX_[155] * vX_[190]) / vX_[154];
+ vX_[145] = vX_[149] - (vX_[152] * vX_[142] + vX_[141] * vX_[155]);
+ vX_[142] = --0.00021200017 * vX_[142];
+ vX_[151] = 0 - vX_[21] * vX_[163];
+ vX_[148] = -vX_[151];
+ vX_[21] = vX_[21] * vX_[166];
+ vX_[143] = vX_[49] * vX_[21] + vX_[101] * vX_[168];
+ vX_[144] = vX_[63] * vX_[148] + vX_[25] * vX_[165] + vX_[143];
+ vX_[148] = vX_[49] * vX_[148] + vX_[101] * vX_[165] + vX_[48] * vX_[21] + vX_[207] * vX_[168];
+ vX_[165] = 0 - vX_[148];
+ vX_[146] = (vX_[165] - vX_[173] * vX_[190]) / vX_[154];
+ vX_[311] = vX_[144] - (vX_[152] * vX_[146] + vX_[141] * vX_[173]);
+ vX_[368] = 0 - vX_[96];
+ vX_[261] = vX_[49] * vX_[347] + vX_[101] * vX_[176] + vX_[48] * vX_[368] + vX_[207] * vX_[177];
+ vX_[317] = vX_[49] * vX_[96] + vX_[101] * vX_[179] + vX_[48] * vX_[215] + vX_[207] * vX_[180];
+ vX_[368] = vX_[63] * vX_[347] + vX_[25] * vX_[176] + vX_[49] * vX_[368] + vX_[101] * vX_[177];
+ vX_[215] = vX_[63] * vX_[96] + vX_[25] * vX_[179] + vX_[49] * vX_[215] + vX_[101] * vX_[180];
+ vX_[96] = vX_[182] * vX_[207] + vX_[368] * vX_[48] + vX_[183] * vX_[101] + vX_[215] * vX_[49];
+ vX_[180] = (vX_[96] - vX_[185] * vX_[190]) / vX_[154];
+ vX_[179] = vX_[178] * vX_[207] + vX_[261] * vX_[48] + vX_[181] * vX_[101] + vX_[317] * vX_[49] -
+ (vX_[152] * vX_[180] + vX_[141] * vX_[185]);
+ vX_[347] = vX_[49] * vX_[239] + vX_[101] * vX_[291] + vX_[63] * vX_[212] + vX_[25] * vX_[305] + vX_[76] * vX_[250] +
+ vX_[345] * vX_[304] + vX_[56] * vX_[353] + vX_[120] * vX_[290];
+ vX_[177] = 0 - vX_[347];
+ vX_[212] = vX_[48] * vX_[239] + vX_[207] * vX_[291] + vX_[49] * vX_[212] + vX_[101] * vX_[305] +
+ vX_[77] * vX_[250] + vX_[65] * vX_[304] + vX_[57] * vX_[353] + vX_[216] * vX_[290] +
+ vX_[145] * vX_[280] + vX_[142] * vX_[287] + vX_[311] * vX_[283] + vX_[179] * vX_[308] +
+ (vX_[152] * vX_[177] + vX_[141] * vX_[315] - vX_[316] * vX_[190]) / vX_[154];
+ vX_[149] = vX_[147] + vX_[140] - vX_[149] - vX_[190] - -0.00021200017 * ((-vX_[92]) * vX_[190]) / vX_[154];
+ vX_[147] = --0.00021200017 * vX_[146];
+ vX_[144] = vX_[164] * vX_[207] + vX_[151] * vX_[48] + vX_[143] - vX_[144] - -0.00021200017 * vX_[180];
+ vX_[270] = (vX_[117] * vX_[380]) / vX_[117] + vX_[270] + vX_[142] * vX_[280] + vX_[149] * vX_[287] +
+ vX_[147] * vX_[283] + vX_[144] * vX_[308] + (-0.00021200017 * vX_[177] - vX_[320] * vX_[190]) / vX_[154];
+ vX_[215] = vX_[183] * vX_[25] + vX_[215] * vX_[63] + vX_[182] * vX_[101] + vX_[368] * vX_[49];
+ vX_[368] = (vX_[215] - vX_[46] * vX_[190]) / vX_[154];
+ vX_[317] = vX_[178] * vX_[101] + vX_[261] * vX_[49] + vX_[181] * vX_[25] + vX_[317] * vX_[63] -
+ (vX_[152] * vX_[368] + vX_[141] * vX_[46]);
+ vX_[148] = vX_[164] * vX_[101] + vX_[151] * vX_[49] + vX_[168] * vX_[25] + vX_[21] * vX_[63] + vX_[148] -
+ -0.00021200017 * vX_[368];
+ vX_[21] = 0 - vX_[207] * vX_[163] - vX_[101] * vX_[33] - (vX_[172] * vX_[368] + vX_[165] * vX_[46]);
+ vX_[151] = vX_[25] * vX_[71] + vX_[101] * vX_[194];
+ vX_[168] = vX_[101] * vX_[71];
+ vX_[164] = vX_[25] * vX_[196] + vX_[168];
+ vX_[261] = vX_[195] * vX_[207] + vX_[151] * vX_[48] + vX_[198] * vX_[101] + vX_[164] * vX_[49] -
+ (vX_[184] * vX_[368] + vX_[96] * vX_[46]);
+ vX_[181] = vX_[49] * vX_[353] + vX_[101] * vX_[290] + vX_[78] * vX_[250] + vX_[208] * vX_[304] +
+ vX_[317] * vX_[280] + vX_[148] * vX_[287] + vX_[21] * vX_[283] + vX_[261] * vX_[308] +
+ (vX_[169] * vX_[177] + vX_[215] * vX_[315] - vX_[321] * vX_[190]) / vX_[154];
+ vX_[168] = vX_[201] * vX_[101] + (vX_[101] * vX_[196] + vX_[207] * vX_[71]) * vX_[49] + vX_[197] * vX_[207] +
+ (vX_[168] + vX_[207] * vX_[194]) * vX_[48];
+ vX_[164] = vX_[198] * vX_[25] + vX_[164] * vX_[63] + vX_[195] * vX_[101] + vX_[151] * vX_[49];
+ vX_[146] = 0 - vX_[168] - vX_[164] - (vX_[172] * vX_[146] + vX_[165] * vX_[173]);
+ vX_[33] = vX_[101] * vX_[163] + vX_[25] * vX_[33] - (vX_[172] * vX_[180] + vX_[165] * vX_[185]);
+ vX_[151] = vX_[200] * vX_[146] - vX_[205] * vX_[33];
+ vX_[168] = vX_[168] - (vX_[184] * vX_[180] + vX_[96] * vX_[185]);
+ vX_[180] = vX_[200] * vX_[33] - vX_[205] * vX_[168];
+ vX_[198] = vX_[151] * vX_[200] - vX_[180] * vX_[205];
+ vX_[164] = vX_[164] - (vX_[169] * vX_[368] + vX_[215] * vX_[46]);
+ vX_[368] = -vX_[200] * vX_[164];
+ vX_[149] = vX_[149] - 2. * vX_[148] * vX_[200] - vX_[368] * vX_[200] - vX_[198];
+ vX_[142] = vX_[142] + vX_[148] * vX_[205] + vX_[368] * vX_[205] - vX_[317] * vX_[200];
+ vX_[195] = vX_[26] * vX_[142];
+ vX_[197] = vX_[205] * vX_[164];
+ vX_[145] = 2. * vX_[317] * vX_[205] + vX_[145] + vX_[197] * vX_[205] - vX_[198];
+ vX_[201] = (vX_[27] * vX_[149] + vX_[195]) * vX_[27] + (vX_[27] * vX_[142] + vX_[26] * vX_[145]) * vX_[26];
+ vX_[195] = vX_[195] + vX_[28] * vX_[145];
+ vX_[142] = vX_[26] * vX_[149] + vX_[28] * vX_[142];
+ vX_[196] = vX_[195] * vX_[26] + vX_[142] * vX_[27];
+ vX_[142] = vX_[142] * vX_[26] + vX_[195] * vX_[28];
+ vX_[195] = vX_[198] + vX_[142];
+ vX_[194] = (vX_[196] - vX_[224] * vX_[195]) / vX_[223];
+ vX_[178] = vX_[198] + vX_[201] - (vX_[221] * vX_[194] + vX_[196] * vX_[224]);
+ vX_[183] = vX_[200] * vX_[21];
+ vX_[182] = -vX_[183];
+ vX_[143] = -vX_[200] * vX_[261];
+ vX_[140] = vX_[147] * vX_[200] + vX_[182] * vX_[200] - vX_[144] * vX_[205] - vX_[143] * vX_[205];
+ vX_[239] = vX_[205] * vX_[261];
+ vX_[305] = vX_[205] * vX_[21];
+ vX_[291] = vX_[179] * vX_[205] + vX_[239] * vX_[205] - vX_[311] * vX_[200] - vX_[305] * vX_[200];
+ vX_[176] = 0 - vX_[26] * vX_[140] - vX_[27] * vX_[291];
+ vX_[291] = vX_[28] * vX_[140] + vX_[26] * vX_[291] - (vX_[234] * vX_[194] + vX_[176] * vX_[224]);
+ vX_[197] = vX_[197] + vX_[317];
+ vX_[317] = -vX_[197];
+ vX_[368] = vX_[368] + vX_[148];
+ vX_[148] = vX_[26] * vX_[317] + vX_[28] * vX_[368];
+ vX_[317] = vX_[27] * vX_[317] + vX_[26] * vX_[368];
+ vX_[140] = 0 - vX_[317];
+ vX_[194] = (vX_[140] - vX_[243] * vX_[195]) / vX_[223];
+ vX_[43] = vX_[148] - (vX_[221] * vX_[194] + vX_[196] * vX_[243]);
+ vX_[143] = vX_[143] + vX_[144];
+ vX_[183] = vX_[183] - vX_[239];
+ vX_[239] = vX_[179] + vX_[239] - vX_[183];
+ vX_[74] = vX_[27] * vX_[143] + vX_[26] * vX_[239];
+ vX_[182] = vX_[147] + vX_[182] - vX_[183];
+ vX_[305] = vX_[305] + vX_[311];
+ vX_[233] = vX_[27] * vX_[182] + vX_[26] * vX_[305];
+ vX_[239] = vX_[26] * vX_[143] + vX_[28] * vX_[239];
+ vX_[305] = vX_[26] * vX_[182] + vX_[28] * vX_[305];
+ vX_[182] = vX_[239] * vX_[26] + vX_[305] * vX_[27];
+ vX_[143] = (vX_[182] - vX_[255] * vX_[195]) / vX_[223];
+ vX_[203] = vX_[74] * vX_[26] + vX_[233] * vX_[27] + vX_[183] - (vX_[221] * vX_[143] + vX_[196] * vX_[255]);
+ vX_[232] = vX_[28] * vX_[212] + vX_[26] * vX_[270];
+ vX_[373] = 0 - vX_[232];
+ vX_[270] = vX_[26] * vX_[212] + vX_[27] * vX_[270] + -0.304 * vX_[181] + vX_[178] * vX_[323] + vX_[291] * vX_[324] +
+ vX_[43] * vX_[325] + vX_[203] * vX_[327] +
+ (vX_[221] * vX_[373] + vX_[196] * vX_[333] - vX_[334] * vX_[195]) / vX_[223];
+ vX_[147] = 2.1032 * (vX_[64] * vX_[187] + vX_[217] * vX_[59] - (vX_[50] * vX_[267] + vX_[17] * vX_[82])) +
+ vX_[95] * vX_[192] + vX_[68] * vX_[40] + vX_[162] * vX_[7] + vX_[167] * vX_[251] + vX_[163] * vX_[230] +
+ vX_[166] * vX_[218] + (vX_[160] * vX_[380]) / vX_[117] + vX_[311] * vX_[280] + vX_[147] * vX_[287] +
+ vX_[146] * vX_[283] + vX_[33] * vX_[308] +
+ (vX_[172] * vX_[177] + vX_[165] * vX_[315] - vX_[338] * vX_[190]) / vX_[154] -
+ 0.057838 * (vX_[389] + vX_[53]);
+ vX_[144] = vX_[48] * vX_[353] + vX_[207] * vX_[290] + vX_[49] * vX_[250] + vX_[101] * vX_[304] +
+ vX_[179] * vX_[280] + vX_[144] * vX_[287] + vX_[33] * vX_[283] + vX_[168] * vX_[308] +
+ (vX_[184] * vX_[177] + vX_[96] * vX_[315] - vX_[295] * vX_[190]) / vX_[154];
+ vX_[142] = vX_[145] + vX_[149] + vX_[198] - vX_[201] - vX_[142] -
+ (vX_[234] * (vX_[176] - vX_[32] * vX_[195]) / vX_[223] + vX_[176] * vX_[32]);
+ vX_[201] = vX_[183] - (vX_[234] * vX_[194] + vX_[176] * vX_[243]);
+ vX_[197] = -1 * (vX_[180] + vX_[197]);
+ vX_[368] = -1 * (vX_[151] + vX_[368]);
+ vX_[148] = vX_[197] * vX_[26] + vX_[368] * vX_[27] - vX_[148] - (vX_[234] * vX_[143] + vX_[176] * vX_[255]);
+ vX_[347] = vX_[51] * vX_[147] +
+ -1 * (vX_[347] + (vX_[154] * vX_[177] + vX_[190] * vX_[315] - vX_[312] * vX_[190]) / vX_[154]) +
+ vX_[38] * vX_[144] + vX_[291] * vX_[323] + vX_[142] * vX_[324] + vX_[201] * vX_[325] +
+ vX_[148] * vX_[327] + (vX_[234] * vX_[373] + vX_[176] * vX_[333] - vX_[310] * vX_[195]) / vX_[223];
+ vX_[168] = vX_[168] - vX_[164];
+ vX_[146] = vX_[146] - vX_[164];
+ vX_[151] = vX_[26] * vX_[33];
+ vX_[180] = (vX_[27] * vX_[146] + vX_[151]) * vX_[27] + (vX_[27] * vX_[33] + vX_[26] * vX_[168]) * vX_[26];
+ vX_[33] = vX_[26] * vX_[146] + vX_[28] * vX_[33];
+ vX_[151] = vX_[151] + vX_[28] * vX_[168];
+ vX_[145] = vX_[33] * vX_[26] + vX_[151] * vX_[28];
+ vX_[146] = vX_[168] + vX_[146] + vX_[164] - vX_[180] - vX_[145] - (vX_[242] * vX_[194] + vX_[140] * vX_[243]);
+ vX_[261] = -vX_[261];
+ vX_[168] = vX_[28] * vX_[21] + vX_[26] * vX_[261] - (vX_[242] * vX_[143] + vX_[140] * vX_[255]);
+ vX_[181] = -1 * vX_[181] + vX_[43] * vX_[323] + vX_[201] * vX_[324] + vX_[146] * vX_[325] + vX_[168] * vX_[327] +
+ (vX_[242] * vX_[373] + vX_[140] * vX_[333] - vX_[314] * vX_[195]) / vX_[223];
+ vX_[180] = vX_[164] + vX_[180] - (vX_[254] * vX_[143] + vX_[182] * vX_[255]);
+ vX_[144] = vX_[26] * vX_[144] + vX_[27] * vX_[147] + vX_[203] * vX_[323] + vX_[148] * vX_[324] +
+ vX_[168] * vX_[325] + vX_[180] * vX_[327] +
+ (vX_[254] * vX_[373] + vX_[182] * vX_[333] - vX_[330] * vX_[195]) / vX_[223];
+ vX_[147] = vX_[258] * vX_[180];
+ vX_[142] = 2. * vX_[148] * vX_[258] + vX_[142] + vX_[147] * vX_[258];
+ vX_[143] = vX_[258] * vX_[168];
+ vX_[291] = vX_[203] * vX_[258] + vX_[291] - vX_[201] * vX_[258] - vX_[143] * vX_[258];
+ vX_[194] = vX_[11] * vX_[291];
+ vX_[149] = -vX_[258] * vX_[146];
+ vX_[178] = vX_[178] - 2. * vX_[43] * vX_[258] - vX_[149] * vX_[258];
+ vX_[198] = (vX_[11] * vX_[142] + vX_[9] * vX_[291]) * vX_[11] + (vX_[194] + vX_[9] * vX_[178]) * vX_[9];
+ vX_[291] = vX_[22] * vX_[291] + vX_[11] * vX_[178];
+ vX_[194] = vX_[22] * vX_[142] + vX_[194];
+ vX_[179] = vX_[291] * vX_[9] + vX_[194] * vX_[11];
+ vX_[194] = vX_[194] * vX_[22] + vX_[291] * vX_[11];
+ vX_[291] = (vX_[179] - vX_[19] * vX_[194]) / vX_[24];
+ vX_[353] = vX_[198] - (vX_[42] * vX_[291] + vX_[179] * vX_[19]);
+ vX_[291] = --0.022851627 * vX_[291];
+ vX_[250] = 0 - vX_[11] * vX_[270] - vX_[22] * vX_[347] - vX_[34] * vX_[181] - vX_[15] * vX_[144];
+ vX_[198] = vX_[178] + vX_[142] - vX_[198] - vX_[194] - -0.022851627 * ((-vX_[278]) * vX_[194]) / vX_[24];
+ vX_[305] = vX_[239] * vX_[28] + vX_[305] * vX_[26] + vX_[183];
+ vX_[239] = (vX_[305] - vX_[272] * vX_[195]) / vX_[223];
+ vX_[261] = 0 - vX_[26] * vX_[21] - vX_[27] * vX_[261] - (vX_[242] * vX_[239] + vX_[140] * vX_[272]);
+ vX_[233] =
+ vX_[74] * vX_[28] + vX_[233] * vX_[26] - vX_[258] * vX_[261] - (vX_[221] * vX_[239] + vX_[196] * vX_[272]);
+ vX_[151] = vX_[151] * vX_[26] + vX_[33] * vX_[27] - (vX_[254] * vX_[239] + vX_[182] * vX_[272]);
+ vX_[368] = vX_[197] * vX_[28] + vX_[368] * vX_[26] + vX_[317] + vX_[258] * vX_[151] -
+ (vX_[234] * vX_[239] + vX_[176] * vX_[272]);
+ vX_[197] = vX_[11] * vX_[368];
+ vX_[239] = vX_[164] + vX_[145] - (vX_[227] * vX_[239] + vX_[305] * vX_[272]);
+ vX_[180] = vX_[180] - vX_[239];
+ vX_[145] = vX_[22] * vX_[168] + vX_[11] * vX_[180];
+ vX_[146] = vX_[146] - vX_[239];
+ vX_[164] = vX_[11] * vX_[168];
+ vX_[317] = vX_[22] * vX_[146] + vX_[164];
+ vX_[201] = vX_[143] + vX_[201];
+ vX_[149] = vX_[149] + vX_[43];
+ vX_[43] = vX_[22] * vX_[201] + vX_[11] * vX_[149];
+ vX_[147] = vX_[147] + vX_[148];
+ vX_[143] = vX_[203] - vX_[143];
+ vX_[203] = vX_[22] * vX_[147] + vX_[11] * vX_[143];
+ vX_[148] = vX_[43] * vX_[22] + vX_[203] * vX_[11];
+ vX_[33] = (vX_[148] - vX_[351] * vX_[194]) / vX_[24];
+ vX_[203] = vX_[203] * vX_[9] + vX_[43] * vX_[11];
+ vX_[43] = vX_[145] * vX_[9] + vX_[317] * vX_[11] - (vX_[349] * vX_[33] + vX_[203] * vX_[351]);
+ vX_[74] = -vX_[233];
+ vX_[21] = vX_[22] * vX_[74] + vX_[197];
+ vX_[183] = (vX_[203] - vX_[355] * vX_[194]) / vX_[24];
+ vX_[143] = vX_[11] * vX_[147] + vX_[9] * vX_[143];
+ vX_[149] = vX_[11] * vX_[201] + vX_[9] * vX_[149];
+ vX_[201] = vX_[358] * vX_[43];
+ vX_[151] = -vX_[151];
+ vX_[74] = vX_[11] * vX_[74] + vX_[9] * vX_[368];
+ vX_[147] = 0 - vX_[74];
+ vX_[178] = 0 - vX_[9] * vX_[261] - vX_[11] * vX_[151] - (vX_[362] * vX_[33] + vX_[147] * vX_[351]);
+ vX_[142] = vX_[282] * vX_[178];
+ vX_[290] = vX_[142] - vX_[201];
+ vX_[304] = (vX_[147] - vX_[372] * vX_[194]) / vX_[24];
+ vX_[74] = vX_[233] * vX_[11] + vX_[368] * vX_[22] + vX_[74] - -0.022851627 * vX_[33];
+ vX_[317] = vX_[317] * vX_[22] + vX_[145] * vX_[11];
+ vX_[148] = vX_[239] + vX_[317] - (vX_[350] * vX_[33] + vX_[148] * vX_[351]);
+ vX_[145] = -vX_[282] * vX_[148];
+ vX_[33] = vX_[143] * vX_[11] + vX_[149] * vX_[22] - (vX_[42] * vX_[33] + vX_[179] * vX_[351]);
+ vX_[368] = vX_[291] + vX_[74] * vX_[358] + vX_[145] * vX_[358] - vX_[33] * vX_[282];
+ vX_[164] = (vX_[11] * vX_[146] + vX_[9] * vX_[168]) * vX_[11] + (vX_[164] + vX_[9] * vX_[180]) * vX_[9];
+ vX_[151] = vX_[11] * vX_[261] + vX_[22] * vX_[151] - (vX_[362] * vX_[183] + vX_[147] * vX_[355]);
+ vX_[151] = (vX_[282] * (vX_[180] + vX_[146] + vX_[239] - vX_[164] - vX_[317] -
+ (vX_[362] * vX_[304] + vX_[147] * vX_[372])) -
+ vX_[358] * vX_[151]) *
+ vX_[282] -
+ (vX_[282] * vX_[151] - vX_[358] * (vX_[239] + vX_[164] - (vX_[349] * vX_[183] + vX_[203] * vX_[355]))) *
+ vX_[358];
+ jac[54] =
+ (0 -
+ vX_[0] * (vX_[9] * vX_[270] + vX_[11] * vX_[347] + vX_[30] * vX_[181] + vX_[12] * vX_[144] +
+ vX_[353] * vX_[274] + vX_[291] * vX_[268] +
+ (vX_[42] * vX_[250] + vX_[179] * vX_[271] - vX_[309] * vX_[194]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[373] + vX_[195] * vX_[333] - vX_[58] * vX_[195]) / vX_[223] + vX_[232] +
+ vX_[291] * vX_[274] + vX_[198] * vX_[268] +
+ (-0.022851627 * vX_[250] - vX_[277] * vX_[194]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[233] * vX_[9] + vX_[197] - vX_[282] * vX_[43] - vX_[21] - -0.022851627 * vX_[183]) +
+ vX_[0] * (vX_[143] * vX_[9] + vX_[149] * vX_[11] + vX_[201] -
+ (vX_[42] * vX_[183] + vX_[179] * vX_[355]) - vX_[290])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[142] - -0.022851627 * vX_[304] - vX_[290]) +
+ vX_[0] * (vX_[21] + vX_[358] * vX_[178] - (vX_[42] * vX_[304] + vX_[179] * vX_[372]))) *
+ vX_[4] +
+ vX_[290]) -
+ vX_[365] * ((vX_[4] * vX_[368] +
+ vX_[0] * (2. * vX_[33] * vX_[358] + vX_[353] + vX_[358] * vX_[148] * vX_[358] - vX_[151])) *
+ vX_[0] +
+ (vX_[4] * (vX_[198] - 2. * vX_[74] * vX_[282] - vX_[145] * vX_[282] - vX_[151]) +
+ vX_[0] * vX_[368]) *
+ vX_[4] +
+ vX_[151])) /
+ vX_[385];
+ vX_[151] = vX_[0] * jac[54];
+ vX_[368] = vX_[4] * jac[54];
+ jac[55] = (vX_[250] - (vX_[42] * vX_[151] + vX_[179] * vX_[342]) - -0.022851627 * vX_[368] - vX_[203] * vX_[259] -
+ vX_[147] * vX_[90] - vX_[344] * vX_[194]) /
+ vX_[24];
+ vX_[147] = vX_[11] * jac[55] + vX_[9] * vX_[151];
+ vX_[203] = vX_[22] * jac[55] + vX_[11] * vX_[151];
+ vX_[250] = vX_[15] * jac[55] + vX_[12] * vX_[151];
+ vX_[151] = vX_[34] * jac[55] + vX_[30] * vX_[151];
+ jac[56] = (vX_[373] - (vX_[223] * vX_[368] + vX_[195] * vX_[348]) - (vX_[221] * vX_[147] + vX_[196] * vX_[249]) -
+ (vX_[234] * vX_[203] + vX_[176] * vX_[313]) - vX_[305] * vX_[90] -
+ (vX_[254] * vX_[250] + vX_[182] * vX_[237]) - (vX_[242] * vX_[151] + vX_[140] * vX_[191]) -
+ vX_[220] * vX_[195]) /
+ vX_[223];
+ vX_[305] = -1 * vX_[203];
+ vX_[373] = -1 * vX_[313];
+ vX_[368] = vX_[368] + jac[56];
+ vX_[182] = vX_[28] * vX_[368] + vX_[26] * vX_[147];
+ vX_[140] = vX_[28] * vX_[247] + vX_[26] * vX_[249] + vX_[280];
+ vX_[368] = vX_[26] * vX_[368] + vX_[27] * vX_[147];
+ vX_[151] = -0.304 * vX_[147] + -1 * vX_[151];
+ vX_[147] = -0.304 * vX_[249] + -1 * vX_[191];
+ vX_[176] = vX_[26] * vX_[250] + vX_[38] * vX_[203];
+ vX_[226] = vX_[26] * vX_[237] + vX_[38] * vX_[313] + vX_[226] * vX_[90] + vX_[308];
+ vX_[250] = vX_[27] * vX_[250] + vX_[51] * vX_[203];
+ vX_[203] = vX_[27] * vX_[237] + vX_[51] * vX_[313] + vX_[26] * vX_[90] + vX_[283];
+ vX_[247] = vX_[26] * vX_[247] + vX_[27] * vX_[249] + vX_[287];
+ vX_[195] = (vX_[315] - vX_[154] * vX_[373] - vX_[152] * vX_[140] - -0.00021200017 * vX_[247] - vX_[169] * vX_[147] -
+ vX_[184] * vX_[226] - vX_[172] * vX_[203]) /
+ vX_[154];
+ jac[57] = (vX_[177] - (vX_[154] * vX_[305] + vX_[190] * vX_[373]) - (vX_[152] * vX_[182] + vX_[141] * vX_[140]) -
+ -0.00021200017 * vX_[368] - (vX_[169] * vX_[151] + vX_[215] * vX_[147]) -
+ (vX_[184] * vX_[176] + vX_[96] * vX_[226]) - (vX_[172] * vX_[250] + vX_[165] * vX_[203]) -
+ vX_[195] * vX_[190]) /
+ vX_[154];
+ vX_[305] = vX_[305] + jac[57];
+ vX_[215] = vX_[373] + vX_[195];
+ vX_[7] = vX_[49] * vX_[305] + vX_[101] * vX_[215] + vX_[48] * vX_[182] + vX_[207] * vX_[140] + vX_[7];
+ vX_[251] = vX_[63] * vX_[305] + vX_[25] * vX_[215] + vX_[49] * vX_[182] + vX_[101] * vX_[140] + vX_[251];
+ vX_[230] = vX_[76] * vX_[305] + vX_[345] * vX_[215] + vX_[77] * vX_[182] + vX_[65] * vX_[140] + vX_[49] * vX_[176] +
+ vX_[101] * vX_[226] + vX_[78] * vX_[151] + vX_[208] * vX_[147] + vX_[230];
+ jac[58] = (vX_[380] - vX_[117] * vX_[368] - vX_[108] * vX_[7] - vX_[122] * vX_[251] - vX_[160] * vX_[250] -
+ vX_[134] * (vX_[56] * vX_[305] + vX_[120] * vX_[215] + vX_[57] * vX_[182] + vX_[216] * vX_[140] +
+ vX_[48] * vX_[176] + vX_[207] * vX_[226] + vX_[49] * vX_[151] + vX_[101] * vX_[147] +
+ vX_[218]) -
+ vX_[130] * vX_[230]) /
+ vX_[117];
+ vX_[368] = vX_[368] + jac[58];
+ jac[59] = (vX_[31] - 0.009277 * vX_[7] - -0.000829 * (vX_[70] * vX_[368] + vX_[68] * vX_[251] + vX_[188]) -
+ 1.5e-05 * (vX_[68] * vX_[368] + vX_[67] * vX_[251] + vX_[211]) -
+ 0.038686875 * (vX_[68] * vX_[230] + vX_[94] * vX_[7] + vX_[95] * vX_[250] + vX_[248])) /
+ 0.009277;
+ vX_[368] = -1 * sin(x_in[5]);
+ vX_[230] = cos(x_in[5]);
+ vX_[251] = -vX_[230];
+ vX_[7] = vX_[368] * vX_[64] + vX_[251] * vX_[55];
+ vX_[250] = vX_[230] * vX_[64] + vX_[368] * vX_[55];
+ vX_[248] = vX_[69] * vX_[7] + vX_[250] * vX_[73];
+ vX_[211] = 0.184 * vX_[230] - 0.02075 * vX_[368];
+ vX_[188] = vX_[230] * vX_[82] + vX_[211] * vX_[50] + vX_[368] * vX_[54];
+ vX_[31] = vX_[75] * vX_[188];
+ vX_[305] = vX_[250] * vX_[86];
+ vX_[176] = vX_[250] * vX_[75];
+ vX_[151] = vX_[7] * vX_[75];
+ vX_[182] = vX_[73] * vX_[7] + vX_[7] * vX_[73];
+ vX_[380] = vX_[69] * vX_[250] + vX_[250] * vX_[69];
+ vX_[218] = -0.00751 * vX_[248] + 0.038686875 * (vX_[31] - vX_[305]) + -0.000829 * vX_[176] - 1.5e-05 * vX_[151] -
+ 0.000198 * (vX_[182] - vX_[380]);
+ vX_[216] = 0 - vX_[218];
+ vX_[120] = 0.02075 * vX_[230] + 0.184 * vX_[368];
+ vX_[101] = -vX_[230];
+ vX_[207] = vX_[368] * vX_[82] + vX_[120] * vX_[50] + vX_[101] * vX_[54];
+ vX_[208] =
+ 1.547475 * (vX_[7] * vX_[86] - vX_[75] * vX_[207]) + 1.547475 * vX_[207] * x_in[11] - 0.038686875 * vX_[182];
+ vX_[65] = (-vX_[250]) * x_in[11];
+ vX_[345] = vX_[7] * x_in[11];
+ vX_[25] = (-vX_[188]) * x_in[11];
+ vX_[305] = 0.038686875 * vX_[248] + -1.547475 * (vX_[305] - vX_[31]) + 0.00345708950900075 * vX_[65] +
+ -6.25528861700981e-05 * vX_[345] + 1.38614328745655 * vX_[25] + (0.038686875 * vX_[216]) / 0.009277;
+ vX_[31] = 1.547475 * vX_[211];
+ vX_[177] = -0.184 * vX_[368] + 0.02075 * vX_[251];
+ vX_[96] = -1.38614328745655 * vX_[177];
+ vX_[103] = vX_[84] * vX_[211] + vX_[31] * vX_[80] - (vX_[103] * vX_[177] + vX_[96] * vX_[102]);
+ vX_[84] = --6.25528861700981e-05 * vX_[177];
+ vX_[165] = -0.00345708950900075 * vX_[177];
+ vX_[190] = -vX_[165];
+ vX_[141] = vX_[68] * vX_[84] + vX_[368] * vX_[105] + vX_[67] * vX_[190] + vX_[230] * vX_[107];
+ vX_[196] = -1.547475 * vX_[211];
+ vX_[194] = 0 - (vX_[109] * vX_[211] + vX_[196] * vX_[80]) - vX_[103];
+ vX_[179] = vX_[109] * vX_[177] + vX_[196] * vX_[102] - -0.038686875 * vX_[211];
+ vX_[110] = vX_[68] * vX_[194] + vX_[368] * vX_[110] + vX_[70] * vX_[179] + vX_[251] * vX_[111];
+ vX_[33] = 1.547475 * vX_[177];
+ vX_[177] = -0.07737375 * vX_[177] + vX_[113] * vX_[177] + vX_[33] * vX_[102] - vX_[103];
+ vX_[179] = vX_[68] * vX_[179] + vX_[368] * vX_[111] + vX_[70] * vX_[177] + vX_[251] * vX_[114];
+ vX_[114] = vX_[112] * vX_[368] + vX_[110] * vX_[68] + vX_[115] * vX_[251] + vX_[179] * vX_[70];
+ vX_[111] = vX_[103] + vX_[114];
+ vX_[113] = (vX_[141] - vX_[118] * vX_[111]) / vX_[117];
+ vX_[102] = vX_[103] - (vX_[108] * vX_[113] + vX_[141] * vX_[118]);
+ vX_[179] = vX_[115] * vX_[368] + vX_[179] * vX_[68] + vX_[112] * vX_[230] + vX_[110] * vX_[67];
+ vX_[113] = vX_[106] * vX_[368] + 2. * vX_[165] * vX_[68] + vX_[121] * vX_[230] + 2. * vX_[84] * vX_[67] +
+ vX_[70] * vX_[84] + vX_[251] * vX_[105] + vX_[68] * vX_[190] + vX_[368] * vX_[107] -
+ (vX_[122] * vX_[113] + vX_[179] * vX_[118]);
+ vX_[96] = vX_[96] + vX_[33];
+ vX_[31] = vX_[31] + vX_[196];
+ vX_[33] = -vX_[33];
+ vX_[190] = vX_[68] * vX_[33] + vX_[368] * vX_[125] + vX_[70] * vX_[196] + vX_[251] * vX_[109];
+ vX_[165] = -6.25528861700981e-05 * vX_[368] + 0.00345708950900075 * vX_[251];
+ vX_[84] = vX_[129] * vX_[368] + vX_[165] * vX_[68];
+ vX_[121] = (vX_[84] - vX_[131] * vX_[111]) / vX_[117];
+ vX_[106] = vX_[126] * vX_[368] + vX_[96] * vX_[68] + vX_[127] * vX_[230] + vX_[31] * vX_[67] + vX_[190] -
+ (vX_[108] * vX_[121] + vX_[141] * vX_[131]);
+ vX_[33] = vX_[67] * vX_[33] + vX_[230] * vX_[125] + vX_[68] * vX_[196] + vX_[368] * vX_[109];
+ vX_[196] = (vX_[33] - vX_[135] * vX_[111]) / vX_[117];
+ vX_[125] = -(vX_[108] * vX_[196] + vX_[141] * vX_[135]);
+ vX_[207] = vX_[69] * vX_[207] + vX_[250] * vX_[97] - (vX_[73] * vX_[188] + vX_[7] * vX_[83]);
+ vX_[380] = 0.000198 * vX_[151] + 1.5e-05 * (0 - vX_[380]) + 0.00315291990945349 * vX_[65] +
+ 0.000199340411771047 * vX_[345] + 0.00345708950900075 * vX_[25] + (-0.000829 * vX_[216]) / 0.009277 -
+ 0.038686875 * vX_[207] - -0.00146 * vX_[176] - -0.000829 * vX_[248];
+ vX_[182] = 0.00605 * vX_[151] + 1.5e-05 * vX_[248] + 0.000199340411771047 * vX_[65] +
+ 0.0107369757464698 * vX_[345] + -6.25528861700981e-05 * vX_[25] + (1.5e-05 * vX_[216]) / 0.009277 -
+ 0.000198 * vX_[176] - -0.000829 * (0 - vX_[182]);
+ vX_[207] = 0.038686875 * vX_[176] + 1.547475 * vX_[207] + -0.038686875 * vX_[65];
+ vX_[176] = vX_[70] * vX_[380] + vX_[251] * vX_[289] + vX_[68] * vX_[182] + vX_[368] * vX_[298] + 0.02075 * vX_[207];
+ vX_[151] = 0 - vX_[176];
+ vX_[218] = (0.009277 * vX_[216]) / 0.009277 + vX_[218] + vX_[80] * vX_[208] + vX_[211] * vX_[293] +
+ vX_[94] * vX_[305] + vX_[120] * vX_[285] + vX_[102] * vX_[299] + vX_[113] * vX_[300] +
+ vX_[106] * vX_[301] + vX_[125] * vX_[303] +
+ (vX_[108] * vX_[151] + vX_[141] * vX_[296] - vX_[292] * vX_[111]) / vX_[117];
+ vX_[114] = vX_[177] + vX_[194] + vX_[103] - vX_[114] -
+ (vX_[122] * (vX_[179] - vX_[81] * vX_[111]) / vX_[117] + vX_[179] * vX_[81]);
+ vX_[177] = -6.25528861700981e-05 * vX_[230] + 0.00345708950900075 * vX_[368];
+ vX_[194] = vX_[104] * vX_[368] + vX_[177] * vX_[68] - (vX_[122] * vX_[121] + vX_[179] * vX_[131]);
+ vX_[190] = 0 - vX_[190] - (vX_[122] * vX_[196] + vX_[179] * vX_[135]);
+ vX_[182] = vX_[68] * vX_[380] + vX_[368] * vX_[289] + vX_[67] * vX_[182] + vX_[230] * vX_[298] + -0.184 * vX_[207] +
+ vX_[113] * vX_[299] + vX_[114] * vX_[300] + vX_[194] * vX_[301] + vX_[190] * vX_[303] +
+ (vX_[122] * vX_[151] + vX_[179] * vX_[296] - vX_[288] * vX_[111]) / vX_[117];
+ vX_[380] = -0.161331712543454 * vX_[251];
+ vX_[288] = vX_[91] * vX_[251] + vX_[380] * vX_[70];
+ vX_[121] = 0 - vX_[288] - (vX_[130] * vX_[121] + vX_[84] * vX_[131]);
+ vX_[131] = -(vX_[130] * vX_[196] + vX_[84] * vX_[135]);
+ vX_[281] = vX_[68] * vX_[305] + vX_[368] * vX_[285] + vX_[67] * vX_[208] + vX_[230] * vX_[293] +
+ vX_[106] * vX_[299] + vX_[194] * vX_[300] + vX_[121] * vX_[301] + vX_[131] * vX_[303] +
+ (vX_[130] * vX_[151] + vX_[84] * vX_[296] - vX_[281] * vX_[111]) / vX_[117];
+ vX_[196] = -(vX_[134] * vX_[196] + vX_[33] * vX_[135]);
+ vX_[207] = vX_[207] + vX_[125] * vX_[299] + vX_[190] * vX_[300] + vX_[131] * vX_[301] + vX_[196] * vX_[303] +
+ (vX_[134] * vX_[151] + vX_[33] * vX_[296] - vX_[279] * vX_[111]) / vX_[117];
+ vX_[279] = vX_[61] * vX_[196];
+ vX_[114] = 2. * vX_[190] * vX_[61] + vX_[114] + vX_[279] * vX_[61];
+ vX_[135] = vX_[61] * vX_[131];
+ vX_[113] = vX_[125] * vX_[61] + vX_[113] - vX_[194] * vX_[61] - vX_[135] * vX_[61];
+ vX_[298] = vX_[49] * vX_[113];
+ vX_[289] = -vX_[61] * vX_[121];
+ vX_[102] = vX_[102] - 2. * vX_[106] * vX_[61] - vX_[289] * vX_[61];
+ vX_[103] = (vX_[49] * vX_[114] + vX_[48] * vX_[113]) * vX_[49] + (vX_[298] + vX_[48] * vX_[102]) * vX_[48];
+ vX_[113] = vX_[63] * vX_[113] + vX_[49] * vX_[102];
+ vX_[298] = vX_[63] * vX_[114] + vX_[298];
+ vX_[81] = vX_[113] * vX_[48] + vX_[298] * vX_[49];
+ vX_[298] = vX_[298] * vX_[63] + vX_[113] * vX_[49];
+ vX_[113] = (vX_[81] - vX_[155] * vX_[298]) / vX_[154];
+ vX_[155] = vX_[103] - (vX_[152] * vX_[113] + vX_[81] * vX_[155]);
+ vX_[113] = --0.00021200017 * vX_[113];
+ vX_[165] = vX_[129] * vX_[251] + vX_[165] * vX_[70];
+ vX_[129] = (vX_[165] - vX_[161] * vX_[111]) / vX_[117];
+ vX_[31] = vX_[126] * vX_[251] + vX_[96] * vX_[70] + vX_[127] * vX_[368] + vX_[31] * vX_[68] - vX_[33] -
+ (vX_[108] * vX_[129] + vX_[141] * vX_[161]);
+ vX_[380] = vX_[91] * vX_[368] + vX_[380] * vX_[68] - (vX_[130] * vX_[129] + vX_[84] * vX_[161]);
+ vX_[91] = vX_[31] - vX_[61] * vX_[380];
+ vX_[96] = -vX_[91];
+ vX_[127] = -(vX_[134] * vX_[129] + vX_[33] * vX_[161]);
+ vX_[177] = vX_[104] * vX_[251] + vX_[177] * vX_[70] - (vX_[122] * vX_[129] + vX_[179] * vX_[161]);
+ vX_[61] = vX_[61] * vX_[127] + vX_[177];
+ vX_[104] = vX_[49] * vX_[61];
+ vX_[126] = vX_[63] * vX_[96] + vX_[104];
+ vX_[96] = vX_[49] * vX_[96] + vX_[48] * vX_[61];
+ vX_[211] = 0 - vX_[96];
+ vX_[292] = (vX_[211] - vX_[173] * vX_[298]) / vX_[154];
+ vX_[248] = vX_[126] - (vX_[152] * vX_[292] + vX_[81] * vX_[173]);
+ vX_[279] = vX_[279] + vX_[190];
+ vX_[125] = vX_[125] - vX_[135];
+ vX_[190] = vX_[49] * vX_[279] + vX_[48] * vX_[125];
+ vX_[135] = vX_[135] + vX_[194];
+ vX_[289] = vX_[289] + vX_[106];
+ vX_[106] = vX_[49] * vX_[135] + vX_[48] * vX_[289];
+ vX_[125] = vX_[63] * vX_[279] + vX_[49] * vX_[125];
+ vX_[289] = vX_[63] * vX_[135] + vX_[49] * vX_[289];
+ vX_[135] = vX_[125] * vX_[48] + vX_[289] * vX_[49];
+ vX_[279] = (vX_[135] - vX_[185] * vX_[298]) / vX_[154];
+ vX_[194] = vX_[190] * vX_[48] + vX_[106] * vX_[49] - (vX_[152] * vX_[279] + vX_[81] * vX_[185]);
+ vX_[188] = vX_[49] * vX_[218] + vX_[63] * vX_[182] + vX_[76] * vX_[281] + vX_[56] * vX_[207];
+ vX_[250] = 0 - vX_[188];
+ vX_[182] = vX_[48] * vX_[218] + vX_[49] * vX_[182] + vX_[77] * vX_[281] + vX_[57] * vX_[207] + vX_[155] * vX_[280] +
+ vX_[113] * vX_[287] + vX_[248] * vX_[283] + vX_[194] * vX_[308] +
+ (vX_[152] * vX_[250] + vX_[81] * vX_[315] - vX_[316] * vX_[298]) / vX_[154];
+ vX_[103] = vX_[102] + vX_[114] - vX_[103] - vX_[298] - -0.00021200017 * ((-vX_[92]) * vX_[298]) / vX_[154];
+ vX_[102] = --0.00021200017 * vX_[292];
+ vX_[126] = vX_[91] * vX_[48] + vX_[104] - vX_[126] - -0.00021200017 * vX_[279];
+ vX_[176] = (vX_[117] * vX_[151] + vX_[111] * vX_[296] - vX_[319] * vX_[111]) / vX_[117] + vX_[176] +
+ vX_[113] * vX_[280] + vX_[103] * vX_[287] + vX_[102] * vX_[283] + vX_[126] * vX_[308] +
+ (-0.00021200017 * vX_[250] - vX_[320] * vX_[298]) / vX_[154];
+ vX_[289] = vX_[289] * vX_[63] + vX_[125] * vX_[49];
+ vX_[125] = (vX_[289] - vX_[46] * vX_[298]) / vX_[154];
+ vX_[106] = vX_[190] * vX_[49] + vX_[106] * vX_[63] - (vX_[152] * vX_[125] + vX_[81] * vX_[46]);
+ vX_[96] = vX_[91] * vX_[49] + vX_[61] * vX_[63] + vX_[96] - -0.00021200017 * vX_[125];
+ vX_[61] = -vX_[127];
+ vX_[91] = 0 - vX_[48] * vX_[380] - vX_[49] * vX_[61] - (vX_[172] * vX_[125] + vX_[211] * vX_[46]);
+ vX_[129] = vX_[288] - (vX_[160] * vX_[129] + vX_[165] * vX_[161]);
+ vX_[196] = vX_[196] - vX_[129];
+ vX_[288] = vX_[63] * vX_[131] + vX_[49] * vX_[196];
+ vX_[121] = vX_[121] - vX_[129];
+ vX_[161] = vX_[49] * vX_[131];
+ vX_[190] = vX_[63] * vX_[121] + vX_[161];
+ vX_[320] = vX_[288] * vX_[48] + vX_[190] * vX_[49] - (vX_[184] * vX_[125] + vX_[135] * vX_[46]);
+ vX_[321] = vX_[49] * vX_[207] + vX_[78] * vX_[281] + vX_[106] * vX_[280] + vX_[96] * vX_[287] + vX_[91] * vX_[283] +
+ vX_[320] * vX_[308] + (vX_[169] * vX_[250] + vX_[289] * vX_[315] - vX_[321] * vX_[298]) / vX_[154];
+ vX_[161] = (vX_[49] * vX_[121] + vX_[48] * vX_[131]) * vX_[49] + (vX_[161] + vX_[48] * vX_[196]) * vX_[48];
+ vX_[190] = vX_[190] * vX_[63] + vX_[288] * vX_[49];
+ vX_[121] = vX_[196] + vX_[121] + vX_[129] - vX_[161] - vX_[190] - (vX_[172] * vX_[292] + vX_[211] * vX_[173]);
+ vX_[61] = vX_[49] * vX_[380] + vX_[63] * vX_[61] - (vX_[172] * vX_[279] + vX_[211] * vX_[185]);
+ vX_[196] = vX_[200] * vX_[121] - vX_[205] * vX_[61];
+ vX_[161] = vX_[129] + vX_[161] - (vX_[184] * vX_[279] + vX_[135] * vX_[185]);
+ vX_[279] = vX_[200] * vX_[61] - vX_[205] * vX_[161];
+ vX_[185] = vX_[196] * vX_[200] - vX_[279] * vX_[205];
+ vX_[190] = vX_[129] + vX_[190] - (vX_[169] * vX_[125] + vX_[289] * vX_[46]);
+ vX_[129] = -vX_[200] * vX_[190];
+ vX_[103] = vX_[103] - 2. * vX_[96] * vX_[200] - vX_[129] * vX_[200] - vX_[185];
+ vX_[113] = vX_[113] + vX_[96] * vX_[205] + vX_[129] * vX_[205] - vX_[106] * vX_[200];
+ vX_[125] = vX_[26] * vX_[113];
+ vX_[46] = vX_[205] * vX_[190];
+ vX_[155] = 2. * vX_[106] * vX_[205] + vX_[155] + vX_[46] * vX_[205] - vX_[185];
+ vX_[292] = (vX_[27] * vX_[103] + vX_[125]) * vX_[27] + (vX_[27] * vX_[113] + vX_[26] * vX_[155]) * vX_[26];
+ vX_[125] = vX_[125] + vX_[28] * vX_[155];
+ vX_[113] = vX_[26] * vX_[103] + vX_[28] * vX_[113];
+ vX_[173] = vX_[125] * vX_[26] + vX_[113] * vX_[27];
+ vX_[113] = vX_[113] * vX_[26] + vX_[125] * vX_[28];
+ vX_[125] = vX_[185] + vX_[113];
+ vX_[288] = (vX_[173] - vX_[224] * vX_[125]) / vX_[223];
+ vX_[131] = vX_[185] + vX_[292] - (vX_[221] * vX_[288] + vX_[173] * vX_[224]);
+ vX_[319] = vX_[200] * vX_[91];
+ vX_[104] = -vX_[319];
+ vX_[114] = -vX_[200] * vX_[320];
+ vX_[92] = vX_[102] * vX_[200] + vX_[104] * vX_[200] - vX_[126] * vX_[205] - vX_[114] * vX_[205];
+ vX_[218] = vX_[205] * vX_[320];
+ vX_[316] = vX_[205] * vX_[91];
+ vX_[205] = vX_[194] * vX_[205] + vX_[218] * vX_[205] - vX_[248] * vX_[200] - vX_[316] * vX_[200];
+ vX_[200] = 0 - vX_[26] * vX_[92] - vX_[27] * vX_[205];
+ vX_[205] = vX_[28] * vX_[92] + vX_[26] * vX_[205] - (vX_[234] * vX_[288] + vX_[200] * vX_[224]);
+ vX_[46] = vX_[46] + vX_[106];
+ vX_[106] = -vX_[46];
+ vX_[129] = vX_[129] + vX_[96];
+ vX_[96] = vX_[26] * vX_[106] + vX_[28] * vX_[129];
+ vX_[106] = vX_[27] * vX_[106] + vX_[26] * vX_[129];
+ vX_[92] = 0 - vX_[106];
+ vX_[288] = (vX_[92] - vX_[243] * vX_[125]) / vX_[223];
+ vX_[224] = vX_[96] - (vX_[221] * vX_[288] + vX_[173] * vX_[243]);
+ vX_[114] = vX_[114] + vX_[126];
+ vX_[319] = vX_[319] - vX_[218];
+ vX_[218] = vX_[194] + vX_[218] - vX_[319];
+ vX_[7] = vX_[27] * vX_[114] + vX_[26] * vX_[218];
+ vX_[104] = vX_[102] + vX_[104] - vX_[319];
+ vX_[316] = vX_[316] + vX_[248];
+ vX_[109] = vX_[27] * vX_[104] + vX_[26] * vX_[316];
+ vX_[218] = vX_[26] * vX_[114] + vX_[28] * vX_[218];
+ vX_[316] = vX_[26] * vX_[104] + vX_[28] * vX_[316];
+ vX_[104] = vX_[218] * vX_[26] + vX_[316] * vX_[27];
+ vX_[114] = (vX_[104] - vX_[255] * vX_[125]) / vX_[223];
+ vX_[118] = vX_[7] * vX_[26] + vX_[109] * vX_[27] + vX_[319] - (vX_[221] * vX_[114] + vX_[173] * vX_[255]);
+ vX_[107] = vX_[28] * vX_[182] + vX_[26] * vX_[176];
+ vX_[105] = 0 - vX_[107];
+ vX_[176] = vX_[26] * vX_[182] + vX_[27] * vX_[176] + -0.304 * vX_[321] + vX_[131] * vX_[323] + vX_[205] * vX_[324] +
+ vX_[224] * vX_[325] + vX_[118] * vX_[327] +
+ (vX_[221] * vX_[105] + vX_[173] * vX_[333] - vX_[334] * vX_[125]) / vX_[223];
+ vX_[102] = vX_[95] * vX_[305] + vX_[101] * vX_[285] + vX_[68] * vX_[208] + vX_[368] * vX_[293] +
+ vX_[31] * vX_[299] + vX_[177] * vX_[300] + vX_[380] * vX_[301] + vX_[127] * vX_[303] +
+ (vX_[160] * vX_[151] + vX_[165] * vX_[296] - vX_[337] * vX_[111]) / vX_[117] + vX_[248] * vX_[280] +
+ vX_[102] * vX_[287] + vX_[121] * vX_[283] + vX_[61] * vX_[308] +
+ (vX_[172] * vX_[250] + vX_[211] * vX_[315] - vX_[338] * vX_[298]) / vX_[154];
+ vX_[126] = vX_[48] * vX_[207] + vX_[49] * vX_[281] + vX_[194] * vX_[280] + vX_[126] * vX_[287] +
+ vX_[61] * vX_[283] + vX_[161] * vX_[308] +
+ (vX_[184] * vX_[250] + vX_[135] * vX_[315] - vX_[295] * vX_[298]) / vX_[154];
+ vX_[113] = vX_[155] + vX_[103] + vX_[185] - vX_[292] - vX_[113] -
+ (vX_[234] * (vX_[200] - vX_[32] * vX_[125]) / vX_[223] + vX_[200] * vX_[32]);
+ vX_[292] = vX_[319] - (vX_[234] * vX_[288] + vX_[200] * vX_[243]);
+ vX_[46] = -1 * (vX_[279] + vX_[46]);
+ vX_[129] = -1 * (vX_[196] + vX_[129]);
+ vX_[96] = vX_[46] * vX_[26] + vX_[129] * vX_[27] - vX_[96] - (vX_[234] * vX_[114] + vX_[200] * vX_[255]);
+ vX_[188] = vX_[51] * vX_[102] +
+ -1 * (vX_[188] + (vX_[154] * vX_[250] + vX_[298] * vX_[315] - vX_[312] * vX_[298]) / vX_[154]) +
+ vX_[38] * vX_[126] + vX_[205] * vX_[323] + vX_[113] * vX_[324] + vX_[292] * vX_[325] +
+ vX_[96] * vX_[327] + (vX_[234] * vX_[105] + vX_[200] * vX_[333] - vX_[310] * vX_[125]) / vX_[223];
+ vX_[161] = vX_[161] - vX_[190];
+ vX_[121] = vX_[121] - vX_[190];
+ vX_[310] = vX_[26] * vX_[61];
+ vX_[312] = (vX_[27] * vX_[121] + vX_[310]) * vX_[27] + (vX_[27] * vX_[61] + vX_[26] * vX_[161]) * vX_[26];
+ vX_[61] = vX_[26] * vX_[121] + vX_[28] * vX_[61];
+ vX_[310] = vX_[310] + vX_[28] * vX_[161];
+ vX_[315] = vX_[61] * vX_[26] + vX_[310] * vX_[28];
+ vX_[121] = vX_[161] + vX_[121] + vX_[190] - vX_[312] - vX_[315] - (vX_[242] * vX_[288] + vX_[92] * vX_[243]);
+ vX_[320] = -vX_[320];
+ vX_[161] = vX_[28] * vX_[91] + vX_[26] * vX_[320] - (vX_[242] * vX_[114] + vX_[92] * vX_[255]);
+ vX_[321] = -1 * vX_[321] + vX_[224] * vX_[323] + vX_[292] * vX_[324] + vX_[121] * vX_[325] + vX_[161] * vX_[327] +
+ (vX_[242] * vX_[105] + vX_[92] * vX_[333] - vX_[314] * vX_[125]) / vX_[223];
+ vX_[312] = vX_[190] + vX_[312] - (vX_[254] * vX_[114] + vX_[104] * vX_[255]);
+ vX_[126] = vX_[26] * vX_[126] + vX_[27] * vX_[102] + vX_[118] * vX_[323] + vX_[96] * vX_[324] +
+ vX_[161] * vX_[325] + vX_[312] * vX_[327] +
+ (vX_[254] * vX_[105] + vX_[104] * vX_[333] - vX_[330] * vX_[125]) / vX_[223];
+ vX_[102] = vX_[258] * vX_[312];
+ vX_[113] = 2. * vX_[96] * vX_[258] + vX_[113] + vX_[102] * vX_[258];
+ vX_[330] = vX_[258] * vX_[161];
+ vX_[205] = vX_[118] * vX_[258] + vX_[205] - vX_[292] * vX_[258] - vX_[330] * vX_[258];
+ vX_[327] = vX_[11] * vX_[205];
+ vX_[325] = -vX_[258] * vX_[121];
+ vX_[131] = vX_[131] - 2. * vX_[224] * vX_[258] - vX_[325] * vX_[258];
+ vX_[324] = (vX_[11] * vX_[113] + vX_[9] * vX_[205]) * vX_[11] + (vX_[327] + vX_[9] * vX_[131]) * vX_[9];
+ vX_[205] = vX_[22] * vX_[205] + vX_[11] * vX_[131];
+ vX_[327] = vX_[22] * vX_[113] + vX_[327];
+ vX_[323] = vX_[205] * vX_[9] + vX_[327] * vX_[11];
+ vX_[327] = vX_[327] * vX_[22] + vX_[205] * vX_[11];
+ vX_[205] = (vX_[323] - vX_[19] * vX_[327]) / vX_[24];
+ vX_[19] = vX_[324] - (vX_[42] * vX_[205] + vX_[323] * vX_[19]);
+ vX_[205] = --0.022851627 * vX_[205];
+ vX_[114] = 0 - vX_[11] * vX_[176] - vX_[22] * vX_[188] - vX_[34] * vX_[321] - vX_[15] * vX_[126];
+ vX_[324] = vX_[131] + vX_[113] - vX_[324] - vX_[327] - -0.022851627 * ((-vX_[278]) * vX_[327]) / vX_[24];
+ vX_[316] = vX_[218] * vX_[28] + vX_[316] * vX_[26] + vX_[319];
+ vX_[218] = (vX_[316] - vX_[272] * vX_[125]) / vX_[223];
+ vX_[320] = 0 - vX_[26] * vX_[91] - vX_[27] * vX_[320] - (vX_[242] * vX_[218] + vX_[92] * vX_[272]);
+ vX_[109] =
+ vX_[7] * vX_[28] + vX_[109] * vX_[26] - vX_[258] * vX_[320] - (vX_[221] * vX_[218] + vX_[173] * vX_[272]);
+ vX_[310] = vX_[310] * vX_[26] + vX_[61] * vX_[27] - (vX_[254] * vX_[218] + vX_[104] * vX_[272]);
+ vX_[129] = vX_[46] * vX_[28] + vX_[129] * vX_[26] + vX_[106] + vX_[258] * vX_[310] -
+ (vX_[234] * vX_[218] + vX_[200] * vX_[272]);
+ vX_[46] = vX_[11] * vX_[129];
+ vX_[218] = vX_[190] + vX_[315] - (vX_[227] * vX_[218] + vX_[316] * vX_[272]);
+ vX_[312] = vX_[312] - vX_[218];
+ vX_[315] = vX_[22] * vX_[161] + vX_[11] * vX_[312];
+ vX_[121] = vX_[121] - vX_[218];
+ vX_[190] = vX_[11] * vX_[161];
+ vX_[272] = vX_[22] * vX_[121] + vX_[190];
+ vX_[292] = vX_[330] + vX_[292];
+ vX_[325] = vX_[325] + vX_[224];
+ vX_[224] = vX_[22] * vX_[292] + vX_[11] * vX_[325];
+ vX_[102] = vX_[102] + vX_[96];
+ vX_[330] = vX_[118] - vX_[330];
+ vX_[118] = vX_[22] * vX_[102] + vX_[11] * vX_[330];
+ vX_[96] = vX_[224] * vX_[22] + vX_[118] * vX_[11];
+ vX_[227] = (vX_[96] - vX_[351] * vX_[327]) / vX_[24];
+ vX_[118] = vX_[118] * vX_[9] + vX_[224] * vX_[11];
+ vX_[224] = vX_[315] * vX_[9] + vX_[272] * vX_[11] - (vX_[349] * vX_[227] + vX_[118] * vX_[351]);
+ vX_[106] = -vX_[109];
+ vX_[258] = vX_[22] * vX_[106] + vX_[46];
+ vX_[61] = (vX_[118] - vX_[355] * vX_[327]) / vX_[24];
+ vX_[330] = vX_[11] * vX_[102] + vX_[9] * vX_[330];
+ vX_[325] = vX_[11] * vX_[292] + vX_[9] * vX_[325];
+ vX_[292] = vX_[358] * vX_[224];
+ vX_[310] = -vX_[310];
+ vX_[106] = vX_[11] * vX_[106] + vX_[9] * vX_[129];
+ vX_[102] = 0 - vX_[106];
+ vX_[7] = 0 - vX_[9] * vX_[320] - vX_[11] * vX_[310] - (vX_[362] * vX_[227] + vX_[102] * vX_[351]);
+ vX_[91] = vX_[282] * vX_[7];
+ vX_[319] = vX_[91] - vX_[292];
+ vX_[131] = (vX_[102] - vX_[372] * vX_[327]) / vX_[24];
+ vX_[106] = vX_[109] * vX_[11] + vX_[129] * vX_[22] + vX_[106] - -0.022851627 * vX_[227];
+ vX_[272] = vX_[272] * vX_[22] + vX_[315] * vX_[11];
+ vX_[96] = vX_[218] + vX_[272] - (vX_[350] * vX_[227] + vX_[96] * vX_[351]);
+ vX_[350] = -vX_[282] * vX_[96];
+ vX_[227] = vX_[330] * vX_[11] + vX_[325] * vX_[22] - (vX_[42] * vX_[227] + vX_[323] * vX_[351]);
+ vX_[351] = vX_[205] + vX_[106] * vX_[358] + vX_[350] * vX_[358] - vX_[227] * vX_[282];
+ vX_[190] = (vX_[11] * vX_[121] + vX_[9] * vX_[161]) * vX_[11] + (vX_[190] + vX_[9] * vX_[312]) * vX_[9];
+ vX_[310] = vX_[11] * vX_[320] + vX_[22] * vX_[310] - (vX_[362] * vX_[61] + vX_[102] * vX_[355]);
+ vX_[310] = (vX_[282] * (vX_[312] + vX_[121] + vX_[218] - vX_[190] - vX_[272] -
+ (vX_[362] * vX_[131] + vX_[102] * vX_[372])) -
+ vX_[358] * vX_[310]) *
+ vX_[282] -
+ (vX_[282] * vX_[310] - vX_[358] * (vX_[218] + vX_[190] - (vX_[349] * vX_[61] + vX_[118] * vX_[355]))) *
+ vX_[358];
+ jac[66] =
+ (0 -
+ vX_[0] *
+ (vX_[9] * vX_[176] + vX_[11] * vX_[188] + vX_[30] * vX_[321] + vX_[12] * vX_[126] + vX_[19] * vX_[274] +
+ vX_[205] * vX_[268] + (vX_[42] * vX_[114] + vX_[323] * vX_[271] - vX_[309] * vX_[327]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[105] + vX_[125] * vX_[333] - vX_[58] * vX_[125]) / vX_[223] + vX_[107] +
+ vX_[205] * vX_[274] + vX_[324] * vX_[268] +
+ (-0.022851627 * vX_[114] - vX_[277] * vX_[327]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[109] * vX_[9] + vX_[46] - vX_[282] * vX_[224] - vX_[258] - -0.022851627 * vX_[61]) +
+ vX_[0] * (vX_[330] * vX_[9] + vX_[325] * vX_[11] + vX_[292] -
+ (vX_[42] * vX_[61] + vX_[323] * vX_[355]) - vX_[319])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[91] - -0.022851627 * vX_[131] - vX_[319]) +
+ vX_[0] * (vX_[258] + vX_[358] * vX_[7] - (vX_[42] * vX_[131] + vX_[323] * vX_[372]))) *
+ vX_[4] +
+ vX_[319]) -
+ vX_[365] * ((vX_[4] * vX_[351] +
+ vX_[0] * (2. * vX_[227] * vX_[358] + vX_[19] + vX_[358] * vX_[96] * vX_[358] - vX_[310])) *
+ vX_[0] +
+ (vX_[4] * (vX_[324] - 2. * vX_[106] * vX_[282] - vX_[350] * vX_[282] - vX_[310]) +
+ vX_[0] * vX_[351]) *
+ vX_[4] +
+ vX_[310])) /
+ vX_[385];
+ vX_[310] = vX_[0] * jac[66];
+ vX_[351] = vX_[4] * jac[66];
+ jac[67] = (vX_[114] - (vX_[42] * vX_[310] + vX_[323] * vX_[342]) - -0.022851627 * vX_[351] - vX_[118] * vX_[259] -
+ vX_[102] * vX_[90] - vX_[344] * vX_[327]) /
+ vX_[24];
+ vX_[102] = vX_[11] * jac[67] + vX_[9] * vX_[310];
+ vX_[118] = vX_[22] * jac[67] + vX_[11] * vX_[310];
+ vX_[114] = vX_[15] * jac[67] + vX_[12] * vX_[310];
+ vX_[310] = vX_[34] * jac[67] + vX_[30] * vX_[310];
+ jac[68] = (vX_[105] - (vX_[223] * vX_[351] + vX_[125] * vX_[348]) - (vX_[221] * vX_[102] + vX_[173] * vX_[249]) -
+ (vX_[234] * vX_[118] + vX_[200] * vX_[313]) - vX_[316] * vX_[90] -
+ (vX_[254] * vX_[114] + vX_[104] * vX_[237]) - (vX_[242] * vX_[310] + vX_[92] * vX_[191]) -
+ vX_[220] * vX_[125]) /
+ vX_[223];
+ vX_[316] = -1 * vX_[118];
+ vX_[351] = vX_[351] + jac[68];
+ vX_[105] = vX_[28] * vX_[351] + vX_[26] * vX_[102];
+ vX_[351] = vX_[26] * vX_[351] + vX_[27] * vX_[102];
+ vX_[310] = -0.304 * vX_[102] + -1 * vX_[310];
+ vX_[102] = vX_[26] * vX_[114] + vX_[38] * vX_[118];
+ vX_[114] = vX_[27] * vX_[114] + vX_[51] * vX_[118];
+ jac[69] = (vX_[250] - (vX_[154] * vX_[316] + vX_[298] * vX_[373]) - (vX_[152] * vX_[105] + vX_[81] * vX_[140]) -
+ -0.00021200017 * vX_[351] - (vX_[169] * vX_[310] + vX_[289] * vX_[147]) -
+ (vX_[184] * vX_[102] + vX_[135] * vX_[226]) - (vX_[172] * vX_[114] + vX_[211] * vX_[203]) -
+ vX_[195] * vX_[298]) /
+ vX_[154];
+ vX_[316] = vX_[316] + jac[69];
+ vX_[289] = vX_[49] * vX_[316] + vX_[48] * vX_[105];
+ vX_[299] = vX_[49] * vX_[215] + vX_[48] * vX_[140] + vX_[299];
+ vX_[250] = vX_[63] * vX_[316] + vX_[49] * vX_[105];
+ vX_[300] = vX_[63] * vX_[215] + vX_[49] * vX_[140] + vX_[300];
+ vX_[303] = vX_[56] * vX_[215] + vX_[57] * vX_[140] + vX_[48] * vX_[226] + vX_[49] * vX_[147] + vX_[303];
+ vX_[135] = vX_[76] * vX_[316] + vX_[77] * vX_[105] + vX_[49] * vX_[102] + vX_[78] * vX_[310];
+ vX_[215] = vX_[76] * vX_[215] + vX_[77] * vX_[140] + vX_[49] * vX_[226] + vX_[78] * vX_[147] + vX_[301];
+ vX_[296] = (vX_[296] - vX_[117] * vX_[247] - vX_[108] * vX_[299] - vX_[122] * vX_[300] - vX_[160] * vX_[203] -
+ vX_[134] * vX_[303] - vX_[130] * vX_[215]) /
+ vX_[117];
+ jac[70] = (vX_[151] - (vX_[117] * vX_[351] + vX_[111] * vX_[247]) - (vX_[108] * vX_[289] + vX_[141] * vX_[299]) -
+ (vX_[122] * vX_[250] + vX_[179] * vX_[300]) - (vX_[160] * vX_[114] + vX_[165] * vX_[203]) -
+ (vX_[134] * (vX_[56] * vX_[316] + vX_[57] * vX_[105] + vX_[48] * vX_[102] + vX_[49] * vX_[310]) +
+ vX_[33] * vX_[303]) -
+ (vX_[130] * vX_[135] + vX_[84] * vX_[215]) - vX_[296] * vX_[111]) /
+ vX_[117];
+ vX_[351] = vX_[351] + jac[70];
+ vX_[296] = vX_[247] + vX_[296];
+ jac[71] =
+ (vX_[216] - 0.009277 * vX_[289] -
+ -0.000829 *
+ (vX_[70] * vX_[351] + vX_[251] * vX_[296] + vX_[68] * vX_[250] + vX_[368] * vX_[300] + vX_[65]) -
+ 1.5e-05 * (vX_[68] * vX_[351] + vX_[368] * vX_[296] + vX_[67] * vX_[250] + vX_[230] * vX_[300] + vX_[345]) -
+ 0.038686875 * (vX_[68] * vX_[135] + vX_[368] * vX_[215] + vX_[94] * vX_[289] + vX_[120] * vX_[299] +
+ vX_[95] * vX_[114] + vX_[101] * vX_[203] + vX_[25])) /
+ 0.009277;
+ vX_[296] = vX_[0] * x_in[7];
+ vX_[351] = vX_[5] * vX_[4] + vX_[4] * vX_[5];
+ vX_[215] = vX_[12] * vX_[0];
+ vX_[135] = -(vX_[10] * vX_[215] + vX_[4] * vX_[16]);
+ vX_[300] = vX_[9] * vX_[0];
+ vX_[250] = vX_[18] * vX_[4] + vX_[300] * vX_[10];
+ vX_[299] = vX_[10] * vX_[4] + vX_[4] * vX_[10];
+ vX_[289] = vX_[11] * vX_[0];
+ vX_[114] = vX_[23] * vX_[289] + vX_[289] * vX_[23];
+ vX_[25] = vX_[30] * vX_[0];
+ vX_[345] = -0.304 * vX_[300] + -1 * vX_[25];
+ vX_[65] = vX_[26] * vX_[300] + vX_[28] * vX_[4];
+ vX_[101] = vX_[38] * vX_[289] + vX_[26] * vX_[215];
+ vX_[120] = -1 * vX_[289];
+ vX_[216] = vX_[29] * vX_[345] + vX_[65] * vX_[36] - (vX_[37] * vX_[101] + vX_[120] * vX_[41]);
+ vX_[251] = vX_[29] * vX_[120] + vX_[65] * vX_[37];
+ vX_[230] = vX_[37] * vX_[120] + vX_[120] * vX_[37];
+ vX_[368] = vX_[27] * vX_[300] + vX_[26] * vX_[4];
+ vX_[203] = vX_[45] * vX_[368] + vX_[368] * vX_[45];
+ vX_[247] = vX_[51] * vX_[289] + vX_[27] * vX_[215];
+ vX_[303] = vX_[48] * vX_[65] + vX_[49] * vX_[120];
+ vX_[316] = vX_[56] * vX_[120] + vX_[57] * vX_[65] + vX_[48] * vX_[101] + vX_[49] * vX_[345];
+ vX_[102] = vX_[50] * vX_[247] + vX_[303] * vX_[54] - (vX_[55] * vX_[316] + vX_[368] * vX_[59]);
+ vX_[310] = vX_[50] * vX_[368] + vX_[303] * vX_[55];
+ vX_[105] = vX_[55] * vX_[368] + vX_[368] * vX_[55];
+ vX_[165] = vX_[49] * vX_[65] + vX_[63] * vX_[120];
+ vX_[151] = vX_[64] * vX_[165] + vX_[165] * vX_[64];
+ vX_[33] = vX_[68] * vX_[165] + vX_[70] * vX_[368];
+ vX_[84] = vX_[67] * vX_[165] + vX_[68] * vX_[368];
+ vX_[179] = vX_[69] * vX_[33] + vX_[84] * vX_[73];
+ vX_[111] = vX_[76] * vX_[120] + vX_[77] * vX_[65] + vX_[49] * vX_[101] + vX_[78] * vX_[345];
+ vX_[141] = vX_[67] * vX_[111] + vX_[80] * vX_[303] + vX_[68] * vX_[247];
+ vX_[226] = vX_[75] * vX_[141] + vX_[303] * vX_[83];
+ vX_[147] = 0.02075 * vX_[368] + -0.184 * vX_[165] + vX_[316];
+ vX_[140] = vX_[69] * vX_[147] + vX_[84] * vX_[86];
+ vX_[301] = vX_[69] * vX_[303] + vX_[84] * vX_[75];
+ vX_[211] = vX_[73] * vX_[303] + vX_[33] * vX_[75];
+ vX_[298] = vX_[73] * vX_[33] + vX_[33] * vX_[73];
+ vX_[81] = vX_[69] * vX_[84] + vX_[84] * vX_[69];
+ vX_[195] = -0.00751 * vX_[179] + 0.038686875 * (vX_[226] - vX_[140]) + -0.000829 * vX_[301] - 1.5e-05 * vX_[211] -
+ 0.000198 * (vX_[298] - vX_[81]);
+ vX_[373] = 0 - vX_[195];
+ vX_[118] = vX_[68] * vX_[111] + vX_[94] * vX_[303] + vX_[95] * vX_[247];
+ vX_[104] = vX_[75] * vX_[303] + vX_[303] * vX_[75];
+ vX_[147] = 1.547475 * (vX_[73] * vX_[147] + vX_[33] * vX_[86] - (vX_[75] * vX_[118] + vX_[303] * vX_[97])) +
+ 1.547475 * vX_[118] * x_in[11] - 0.038686875 * (vX_[104] + vX_[298]);
+ vX_[92] = (-vX_[84]) * x_in[11];
+ vX_[200] = vX_[33] * x_in[11];
+ vX_[125] = (-vX_[141]) * x_in[11];
+ vX_[140] = 0.038686875 * vX_[179] + -1.547475 * (vX_[140] - vX_[226]) + 0.00345708950900075 * vX_[92] +
+ -6.25528861700981e-05 * vX_[200] + 1.38614328745655 * vX_[125] + (0.038686875 * vX_[373]) / 0.009277;
+ vX_[226] = (-vX_[165]) * x_in[10];
+ vX_[173] = vX_[303] * x_in[10];
+ vX_[220] = vX_[316] * x_in[10];
+ vX_[191] = (-vX_[111]) * x_in[10];
+ vX_[237] = vX_[64] * vX_[368] + vX_[165] * vX_[55];
+ vX_[313] = vX_[64] * vX_[303] + vX_[165] * vX_[50];
+ vX_[118] = vX_[69] * vX_[118] + vX_[84] * vX_[97] - (vX_[73] * vX_[141] + vX_[33] * vX_[83]);
+ vX_[81] = 0.000198 * vX_[211] + 1.5e-05 * (vX_[104] - vX_[81]) + 0.00315291990945349 * vX_[92] +
+ 0.000199340411771047 * vX_[200] + 0.00345708950900075 * vX_[125] + (-0.000829 * vX_[373]) / 0.009277 -
+ 0.038686875 * vX_[118] - -0.00146 * vX_[301] - -0.000829 * vX_[179];
+ vX_[104] = 0.00605 * vX_[211] + 1.5e-05 * vX_[179] + 0.000199340411771047 * vX_[92] +
+ 0.0107369757464698 * vX_[200] + -6.25528861700981e-05 * vX_[125] + (1.5e-05 * vX_[373]) / 0.009277 -
+ 0.000198 * vX_[301] - -0.000829 * (vX_[104] - vX_[298]);
+ vX_[118] = 0.038686875 * vX_[301] + 1.547475 * vX_[118] + -0.038686875 * vX_[92];
+ vX_[301] = vX_[50] * vX_[303] + vX_[303] * vX_[50];
+ vX_[298] = -0.001243 * vX_[237] + 0.009683 * vX_[313] + vX_[70] * vX_[81] + vX_[68] * vX_[104] +
+ 0.02075 * vX_[118] - -0.012652 * vX_[310] - -0.001387 * (vX_[301] - vX_[151]);
+ vX_[211] = 0 - vX_[298];
+ vX_[195] = 0.057838 * vX_[102] + -0.001387 * vX_[310] + -0.012652 * (vX_[105] - vX_[151]) +
+ (0.009277 * vX_[373]) / 0.009277 + vX_[195] + vX_[80] * vX_[147] + vX_[94] * vX_[140] +
+ vX_[119] * vX_[226] + vX_[123] * vX_[173] + vX_[132] * vX_[220] + vX_[136] * vX_[191] +
+ (vX_[108] * vX_[211]) / vX_[117] - -0.008386 * vX_[237] - -0.001243 * vX_[313];
+ vX_[179] = vX_[64] * vX_[247] + vX_[165] * vX_[54] - (vX_[55] * vX_[111] + vX_[368] * vX_[82]);
+ vX_[104] = -0.018069 * vX_[310] + 0.057838 * vX_[179] + -0.012652 * vX_[313] + vX_[68] * vX_[81] +
+ vX_[67] * vX_[104] + -0.184 * vX_[118] + vX_[123] * vX_[226] + vX_[116] * vX_[173] + vX_[72] * vX_[220] +
+ vX_[128] * vX_[191] + (vX_[122] * vX_[211]) / vX_[117] - -0.001387 * vX_[237] -
+ -0.001243 * (vX_[105] - vX_[301]);
+ vX_[237] = 0.057838 * vX_[237] + 2.1032 * vX_[102] + vX_[68] * vX_[140] + vX_[67] * vX_[147] + vX_[132] * vX_[226] +
+ vX_[72] * vX_[173] + vX_[62] * vX_[220] + vX_[71] * vX_[191] + (vX_[130] * vX_[211]) / vX_[117];
+ vX_[179] = 0.057838 * vX_[310] + -2.1032 * vX_[179] + vX_[118] + vX_[136] * vX_[226] + vX_[128] * vX_[173] +
+ vX_[71] * vX_[220] + vX_[60] * vX_[191] + (vX_[134] * vX_[211]) / vX_[117];
+ vX_[118] = (-vX_[368]) * x_in[9];
+ vX_[310] = vX_[65] * x_in[9];
+ vX_[102] = vX_[101] * x_in[9];
+ vX_[81] = (-vX_[247]) * x_in[9];
+ vX_[313] = vX_[37] * vX_[247] + vX_[120] * vX_[54];
+ vX_[345] = vX_[45] * vX_[345] + vX_[368] * vX_[36];
+ vX_[105] = vX_[45] * vX_[65] + vX_[368] * vX_[29];
+ vX_[120] = vX_[45] * vX_[120] + vX_[368] * vX_[37];
+ vX_[141] = vX_[29] * vX_[65] + vX_[65] * vX_[29];
+ vX_[84] = 0.160298259823722 * (vX_[313] - vX_[345]) + -0.06337651 * vX_[105] + -0.0022920002 * vX_[120] +
+ vX_[49] * vX_[195] + vX_[63] * vX_[104] + vX_[76] * vX_[237] + vX_[56] * vX_[179] -
+ -0.008711861 * vX_[216] - -0.00021200017 * vX_[251] - 0.0036857284 * (vX_[141] - vX_[203]);
+ vX_[33] = 0 - vX_[84];
+ vX_[247] = vX_[45] * vX_[101] + vX_[368] * vX_[41] - (vX_[29] * vX_[247] + vX_[65] * vX_[54]);
+ vX_[104] = 1.52322944854339e-09 * vX_[216] + 0.0036857284 * vX_[251] + -0.00021200017 * (vX_[230] - vX_[203]) +
+ vX_[48] * vX_[195] + vX_[49] * vX_[104] + vX_[77] * vX_[237] + vX_[57] * vX_[179] + vX_[156] * vX_[118] +
+ vX_[158] * vX_[310] + vX_[174] * vX_[102] + vX_[186] * vX_[81] + (vX_[152] * vX_[33]) / vX_[154] -
+ 0.160298259823722 * vX_[247] - 0.01404749 * vX_[120] - -0.0022920002 * vX_[105];
+ vX_[298] = -0.008711861 * vX_[247] + 1.52322944854339e-09 * (vX_[345] - vX_[313]) + 0.077424 * vX_[251] +
+ -0.00021200017 * vX_[105] + (vX_[117] * vX_[211]) / vX_[117] + vX_[298] + vX_[158] * vX_[118] +
+ vX_[153] * vX_[310] + vX_[150] * vX_[102] + vX_[170] * vX_[81] + (-0.00021200017 * vX_[33]) / vX_[154] -
+ 0.0036857284 * vX_[120] - -0.0022920002 * (vX_[230] - vX_[141]);
+ vX_[247] = 1.7423722 * vX_[247] + 0.160298259823722 * vX_[120] + -0.008711861 * vX_[251] + vX_[49] * vX_[179] +
+ vX_[78] * vX_[237] + vX_[39] * vX_[118] + vX_[171] * vX_[310] + vX_[193] * vX_[102] +
+ vX_[199] * vX_[81] + (vX_[169] * vX_[33]) / vX_[154] - 1.52322944854339e-09 * (vX_[141] + vX_[203]);
+ vX_[195] = (-vX_[289]) * x_in[8];
+ vX_[368] = vX_[300] * x_in[8];
+ vX_[101] = vX_[215] * x_in[8];
+ vX_[65] = (-vX_[25]) * x_in[8];
+ vX_[249] = vX_[10] * vX_[25] + vX_[4] * vX_[35];
+ vX_[348] = vX_[23] * vX_[300] + vX_[289] * vX_[18];
+ vX_[90] = vX_[23] * vX_[4] + vX_[289] * vX_[10];
+ vX_[327] = vX_[18] * vX_[300] + vX_[300] * vX_[18];
+ vX_[323] = -0.0055615274403 * vX_[249] + 0.00750500000000001 * vX_[348] + -0.0037997814 * vX_[90] +
+ vX_[28] * vX_[104] + vX_[26] * vX_[298] - 0.01438086 * vX_[135] - -0.011715295 * vX_[250] -
+ 5.399998e-05 * (vX_[327] - vX_[114]);
+ vX_[344] = 0 - vX_[323];
+ vX_[25] = vX_[23] * vX_[215] + vX_[289] * vX_[16] - (vX_[18] * vX_[25] + vX_[300] * vX_[35]);
+ vX_[298] = 0.647967112 * vX_[135] + 5.399998e-05 * vX_[250] + -0.011715295 * (vX_[299] - vX_[114]) +
+ vX_[26] * vX_[104] + vX_[27] * vX_[298] + -0.304 * vX_[247] + vX_[225] * vX_[195] + vX_[235] * vX_[368] +
+ vX_[244] * vX_[101] + vX_[256] * vX_[65] + (vX_[221] * vX_[344]) / vX_[223] -
+ -0.0055615274403 * vX_[25] - -0.192033951 * vX_[90] - -0.0037997814 * vX_[348];
+ vX_[249] = -vX_[249];
+ vX_[141] = 1.7423722 * vX_[216] + 1.52322944854339e-09 * vX_[120] + -0.008711861 * vX_[105] +
+ 2.1032 * (vX_[64] * vX_[316] + vX_[165] * vX_[59] - (vX_[50] * vX_[111] + vX_[303] * vX_[82])) +
+ vX_[95] * vX_[140] + vX_[68] * vX_[147] + vX_[162] * vX_[226] + vX_[167] * vX_[173] +
+ vX_[163] * vX_[220] + vX_[166] * vX_[191] + (vX_[160] * vX_[211]) / vX_[117] + vX_[174] * vX_[118] +
+ vX_[150] * vX_[310] + vX_[204] * vX_[102] + vX_[206] * vX_[81] + (vX_[172] * vX_[33]) / vX_[154] -
+ 0.160298259823722 * (vX_[230] + vX_[141]) - 0.057838 * (vX_[301] + vX_[151]);
+ vX_[105] = -1.7423722 * (vX_[345] - vX_[313]) + 0.160298259823722 * vX_[105] + 1.52322944854339e-09 * vX_[251] +
+ vX_[48] * vX_[179] + vX_[49] * vX_[237] + vX_[186] * vX_[118] + vX_[170] * vX_[310] +
+ vX_[206] * vX_[102] + vX_[202] * vX_[81] + (vX_[184] * vX_[33]) / vX_[154] -
+ -0.008711861 * (vX_[230] + vX_[203]);
+ vX_[25] = 0.01438086 * vX_[25] + 0.647967112 * vX_[249] + -0.199538951 * vX_[250] + -0.011715295 * vX_[348] +
+ vX_[51] * vX_[141] + -1 * (vX_[84] + (vX_[154] * vX_[33]) / vX_[154]) + vX_[38] * vX_[105] +
+ vX_[235] * vX_[195] + vX_[222] * vX_[368] + vX_[219] * vX_[101] + vX_[240] * vX_[65] +
+ (vX_[234] * vX_[344]) / vX_[223] - 5.399998e-05 * vX_[90] - -0.0037997814 * (vX_[299] - vX_[327]);
+ vX_[327] = 2.327 * vX_[135] + 0.647967112 * vX_[90] + 0.01438086 * vX_[348] + -1 * vX_[247] + vX_[244] * vX_[195] +
+ vX_[219] * vX_[368] + vX_[88] * vX_[101] + vX_[85] * vX_[65] + (vX_[242] * vX_[344]) / vX_[223] -
+ -0.0055615274403 * (vX_[299] + vX_[327]);
+ vX_[105] = -2.327 * vX_[249] + -0.0055615274403 * vX_[348] + 0.647967112 * vX_[250] + vX_[26] * vX_[105] +
+ vX_[27] * vX_[141] + vX_[256] * vX_[195] + vX_[240] * vX_[368] + vX_[85] * vX_[101] + vX_[44] * vX_[65] +
+ (vX_[254] * vX_[344]) / vX_[223] - 0.01438086 * (vX_[299] + vX_[114]);
+ vX_[141] = (-vX_[4]) * x_in[7];
+ vX_[249] = vX_[14] * vX_[0] + vX_[0] * vX_[14];
+ vX_[348] = vX_[4] * x_in[7];
+ vX_[114] = vX_[5] * vX_[0] + vX_[4] * vX_[14];
+ vX_[299] = -0.022851627 * vX_[296] + 0.0055279857 * (vX_[249] - vX_[351]) - -0.002752 * vX_[348] -
+ 0.046852534 * vX_[114] - vX_[11] * vX_[298] - vX_[22] * vX_[25] - vX_[34] * vX_[327] -
+ vX_[15] * vX_[105];
+ jac[78] =
+ (0 -
+ vX_[0] * (0.0055279857 * vX_[296] + -0.022851627 * (0 - vX_[351]) + vX_[9] * vX_[298] + vX_[11] * vX_[25] +
+ vX_[30] * vX_[327] + vX_[12] * vX_[105] + vX_[13] * vX_[141] + vX_[265] * vX_[296] +
+ (vX_[42] * vX_[299]) / vX_[24] - 0.012390532 * vX_[348] - -0.002752 * vX_[114]) -
+ vX_[4] * (-0.034462002 * vX_[296] + -0.022851627 * vX_[114] + (vX_[223] * vX_[344]) / vX_[223] + vX_[323] +
+ vX_[265] * vX_[141] + vX_[98] * vX_[296] + (-0.022851627 * vX_[299]) / vX_[24] -
+ 0.0055279857 * vX_[348] - -0.002752 * (0 - vX_[249]))) /
+ vX_[385];
+ vX_[141] = vX_[0] * jac[78] + vX_[141];
+ vX_[296] = vX_[4] * jac[78] + vX_[296];
+ jac[79] = (vX_[299] - vX_[42] * vX_[141] - -0.022851627 * vX_[296]) / vX_[24];
+ vX_[195] = vX_[11] * jac[79] + vX_[9] * vX_[141] + vX_[195];
+ vX_[368] = vX_[22] * jac[79] + vX_[11] * vX_[141] + vX_[368];
+ vX_[65] = vX_[15] * jac[79] + vX_[12] * vX_[141] + vX_[65];
+ vX_[141] = vX_[34] * jac[79] + vX_[30] * vX_[141] + vX_[101];
+ jac[80] = (vX_[344] - vX_[223] * vX_[296] - vX_[221] * vX_[195] - vX_[234] * vX_[368] - vX_[254] * vX_[65] -
+ vX_[242] * vX_[141]) /
+ vX_[223];
+ vX_[344] = -1 * vX_[368];
+ vX_[296] = vX_[296] + jac[80];
+ vX_[118] = vX_[28] * vX_[296] + vX_[26] * vX_[195] + vX_[118];
+ vX_[296] = vX_[26] * vX_[296] + vX_[27] * vX_[195] + vX_[310];
+ vX_[141] = -0.304 * vX_[195] + -1 * vX_[141];
+ vX_[81] = vX_[26] * vX_[65] + vX_[38] * vX_[368] + vX_[81];
+ vX_[65] = vX_[27] * vX_[65] + vX_[51] * vX_[368] + vX_[102];
+ jac[81] = (vX_[33] - vX_[154] * vX_[344] - vX_[152] * vX_[118] - -0.00021200017 * vX_[296] - vX_[169] * vX_[141] -
+ vX_[184] * vX_[81] - vX_[172] * vX_[65]) /
+ vX_[154];
+ vX_[344] = vX_[344] + jac[81];
+ vX_[226] = vX_[49] * vX_[344] + vX_[48] * vX_[118] + vX_[226];
+ vX_[173] = vX_[63] * vX_[344] + vX_[49] * vX_[118] + vX_[173];
+ vX_[220] = vX_[76] * vX_[344] + vX_[77] * vX_[118] + vX_[49] * vX_[81] + vX_[78] * vX_[141] + vX_[220];
+ jac[82] =
+ (vX_[211] - vX_[117] * vX_[296] - vX_[108] * vX_[226] - vX_[122] * vX_[173] - vX_[160] * vX_[65] -
+ vX_[134] * (vX_[56] * vX_[344] + vX_[57] * vX_[118] + vX_[48] * vX_[81] + vX_[49] * vX_[141] + vX_[191]) -
+ vX_[130] * vX_[220]) /
+ vX_[117];
+ vX_[296] = vX_[296] + jac[82];
+ jac[83] = (vX_[373] - 0.009277 * vX_[226] - -0.000829 * (vX_[70] * vX_[296] + vX_[68] * vX_[173] + vX_[92]) -
+ 1.5e-05 * (vX_[68] * vX_[296] + vX_[67] * vX_[173] + vX_[200]) -
+ 0.038686875 * (vX_[68] * vX_[220] + vX_[94] * vX_[226] + vX_[95] * vX_[65] + vX_[125])) /
+ 0.009277;
+ vX_[296] = x_in[7] + x_in[7];
+ vX_[220] = -vX_[10] * vX_[15];
+ vX_[173] = vX_[11] * vX_[10];
+ vX_[226] = vX_[23] * vX_[22] + vX_[22] * vX_[23];
+ vX_[65] = -0.304 * vX_[11] + -1 * vX_[34];
+ vX_[125] = vX_[26] * vX_[11];
+ vX_[200] = vX_[38] * vX_[22] + vX_[26] * vX_[15];
+ vX_[92] = -1 * vX_[22];
+ vX_[373] = vX_[29] * vX_[65] + vX_[125] * vX_[36] - (vX_[37] * vX_[200] + vX_[92] * vX_[41]);
+ vX_[344] = vX_[29] * vX_[92] + vX_[125] * vX_[37];
+ vX_[81] = vX_[37] * vX_[92] + vX_[92] * vX_[37];
+ vX_[141] = vX_[27] * vX_[11];
+ vX_[118] = vX_[45] * vX_[141] + vX_[141] * vX_[45];
+ vX_[211] = vX_[51] * vX_[22] + vX_[27] * vX_[15];
+ vX_[191] = vX_[48] * vX_[125] + vX_[49] * vX_[92];
+ vX_[33] = vX_[56] * vX_[92] + vX_[57] * vX_[125] + vX_[48] * vX_[200] + vX_[49] * vX_[65];
+ vX_[368] = vX_[50] * vX_[211] + vX_[191] * vX_[54] - (vX_[55] * vX_[33] + vX_[141] * vX_[59]);
+ vX_[102] = vX_[50] * vX_[141] + vX_[191] * vX_[55];
+ vX_[195] = vX_[55] * vX_[141] + vX_[141] * vX_[55];
+ vX_[310] = vX_[49] * vX_[125] + vX_[63] * vX_[92];
+ vX_[101] = vX_[64] * vX_[310] + vX_[310] * vX_[64];
+ vX_[299] = vX_[68] * vX_[310] + vX_[70] * vX_[141];
+ vX_[114] = vX_[67] * vX_[310] + vX_[68] * vX_[141];
+ vX_[348] = vX_[69] * vX_[299] + vX_[114] * vX_[73];
+ vX_[249] = vX_[76] * vX_[92] + vX_[77] * vX_[125] + vX_[49] * vX_[200] + vX_[78] * vX_[65];
+ vX_[105] = vX_[67] * vX_[249] + vX_[80] * vX_[191] + vX_[68] * vX_[211];
+ vX_[327] = vX_[75] * vX_[105] + vX_[191] * vX_[83];
+ vX_[25] = 0.02075 * vX_[141] + -0.184 * vX_[310] + vX_[33];
+ vX_[298] = vX_[69] * vX_[25] + vX_[114] * vX_[86];
+ vX_[323] = vX_[69] * vX_[191] + vX_[114] * vX_[75];
+ vX_[351] = vX_[73] * vX_[191] + vX_[299] * vX_[75];
+ vX_[250] = vX_[73] * vX_[299] + vX_[299] * vX_[73];
+ vX_[90] = vX_[69] * vX_[114] + vX_[114] * vX_[69];
+ vX_[247] = -0.00751 * vX_[348] + 0.038686875 * (vX_[327] - vX_[298]) + -0.000829 * vX_[323] - 1.5e-05 * vX_[351] -
+ 0.000198 * (vX_[250] - vX_[90]);
+ vX_[135] = 0 - vX_[247];
+ vX_[84] = vX_[68] * vX_[249] + vX_[94] * vX_[191] + vX_[95] * vX_[211];
+ vX_[345] = vX_[75] * vX_[191] + vX_[191] * vX_[75];
+ vX_[25] = 1.547475 * (vX_[73] * vX_[25] + vX_[299] * vX_[86] - (vX_[75] * vX_[84] + vX_[191] * vX_[97])) +
+ 1.547475 * vX_[84] * x_in[11] - 0.038686875 * (vX_[345] + vX_[250]);
+ vX_[313] = (-vX_[114]) * x_in[11];
+ vX_[179] = vX_[299] * x_in[11];
+ vX_[237] = (-vX_[105]) * x_in[11];
+ vX_[298] = 0.038686875 * vX_[348] + -1.547475 * (vX_[298] - vX_[327]) + 0.00345708950900075 * vX_[313] +
+ -6.25528861700981e-05 * vX_[179] + 1.38614328745655 * vX_[237] + (0.038686875 * vX_[135]) / 0.009277;
+ vX_[327] = (-vX_[310]) * x_in[10];
+ vX_[203] = vX_[191] * x_in[10];
+ vX_[230] = vX_[33] * x_in[10];
+ vX_[251] = (-vX_[249]) * x_in[10];
+ vX_[120] = vX_[64] * vX_[141] + vX_[310] * vX_[55];
+ vX_[301] = vX_[64] * vX_[191] + vX_[310] * vX_[50];
+ vX_[84] = vX_[69] * vX_[84] + vX_[114] * vX_[97] - (vX_[73] * vX_[105] + vX_[299] * vX_[83]);
+ vX_[90] = 0.000198 * vX_[351] + 1.5e-05 * (vX_[345] - vX_[90]) + 0.00315291990945349 * vX_[313] +
+ 0.000199340411771047 * vX_[179] + 0.00345708950900075 * vX_[237] + (-0.000829 * vX_[135]) / 0.009277 -
+ 0.038686875 * vX_[84] - -0.00146 * vX_[323] - -0.000829 * vX_[348];
+ vX_[345] = 0.00605 * vX_[351] + 1.5e-05 * vX_[348] + 0.000199340411771047 * vX_[313] +
+ 0.0107369757464698 * vX_[179] + -6.25528861700981e-05 * vX_[237] + (1.5e-05 * vX_[135]) / 0.009277 -
+ 0.000198 * vX_[323] - -0.000829 * (vX_[345] - vX_[250]);
+ vX_[84] = 0.038686875 * vX_[323] + 1.547475 * vX_[84] + -0.038686875 * vX_[313];
+ vX_[323] = vX_[50] * vX_[191] + vX_[191] * vX_[50];
+ vX_[250] = -0.001243 * vX_[120] + 0.009683 * vX_[301] + vX_[70] * vX_[90] + vX_[68] * vX_[345] + 0.02075 * vX_[84] -
+ -0.012652 * vX_[102] - -0.001387 * (vX_[323] - vX_[101]);
+ vX_[351] = 0 - vX_[250];
+ vX_[247] = 0.057838 * vX_[368] + -0.001387 * vX_[102] + -0.012652 * (vX_[195] - vX_[101]) +
+ (0.009277 * vX_[135]) / 0.009277 + vX_[247] + vX_[80] * vX_[25] + vX_[94] * vX_[298] +
+ vX_[119] * vX_[327] + vX_[123] * vX_[203] + vX_[132] * vX_[230] + vX_[136] * vX_[251] +
+ (vX_[108] * vX_[351]) / vX_[117] - -0.008386 * vX_[120] - -0.001243 * vX_[301];
+ vX_[348] = vX_[64] * vX_[211] + vX_[310] * vX_[54] - (vX_[55] * vX_[249] + vX_[141] * vX_[82]);
+ vX_[345] = -0.018069 * vX_[102] + 0.057838 * vX_[348] + -0.012652 * vX_[301] + vX_[68] * vX_[90] +
+ vX_[67] * vX_[345] + -0.184 * vX_[84] + vX_[123] * vX_[327] + vX_[116] * vX_[203] + vX_[72] * vX_[230] +
+ vX_[128] * vX_[251] + (vX_[122] * vX_[351]) / vX_[117] - -0.001387 * vX_[120] -
+ -0.001243 * (vX_[195] - vX_[323]);
+ vX_[120] = 0.057838 * vX_[120] + 2.1032 * vX_[368] + vX_[68] * vX_[298] + vX_[67] * vX_[25] + vX_[132] * vX_[327] +
+ vX_[72] * vX_[203] + vX_[62] * vX_[230] + vX_[71] * vX_[251] + (vX_[130] * vX_[351]) / vX_[117];
+ vX_[348] = 0.057838 * vX_[102] + -2.1032 * vX_[348] + vX_[84] + vX_[136] * vX_[327] + vX_[128] * vX_[203] +
+ vX_[71] * vX_[230] + vX_[60] * vX_[251] + (vX_[134] * vX_[351]) / vX_[117];
+ vX_[84] = (-vX_[141]) * x_in[9];
+ vX_[102] = vX_[125] * x_in[9];
+ vX_[368] = vX_[200] * x_in[9];
+ vX_[90] = (-vX_[211]) * x_in[9];
+ vX_[301] = vX_[37] * vX_[211] + vX_[92] * vX_[54];
+ vX_[65] = vX_[45] * vX_[65] + vX_[141] * vX_[36];
+ vX_[195] = vX_[45] * vX_[125] + vX_[141] * vX_[29];
+ vX_[92] = vX_[45] * vX_[92] + vX_[141] * vX_[37];
+ vX_[105] = vX_[29] * vX_[125] + vX_[125] * vX_[29];
+ vX_[114] = 0.160298259823722 * (vX_[301] - vX_[65]) + -0.06337651 * vX_[195] + -0.0022920002 * vX_[92] +
+ vX_[49] * vX_[247] + vX_[63] * vX_[345] + vX_[76] * vX_[120] + vX_[56] * vX_[348] -
+ -0.008711861 * vX_[373] - -0.00021200017 * vX_[344] - 0.0036857284 * (vX_[105] - vX_[118]);
+ vX_[299] = 0 - vX_[114];
+ vX_[211] = vX_[45] * vX_[200] + vX_[141] * vX_[41] - (vX_[29] * vX_[211] + vX_[125] * vX_[54]);
+ vX_[345] = 1.52322944854339e-09 * vX_[373] + 0.0036857284 * vX_[344] + -0.00021200017 * (vX_[81] - vX_[118]) +
+ vX_[48] * vX_[247] + vX_[49] * vX_[345] + vX_[77] * vX_[120] + vX_[57] * vX_[348] + vX_[156] * vX_[84] +
+ vX_[158] * vX_[102] + vX_[174] * vX_[368] + vX_[186] * vX_[90] + (vX_[152] * vX_[299]) / vX_[154] -
+ 0.160298259823722 * vX_[211] - 0.01404749 * vX_[92] - -0.0022920002 * vX_[195];
+ vX_[250] = -0.008711861 * vX_[211] + 1.52322944854339e-09 * (vX_[65] - vX_[301]) + 0.077424 * vX_[344] +
+ -0.00021200017 * vX_[195] + (vX_[117] * vX_[351]) / vX_[117] + vX_[250] + vX_[158] * vX_[84] +
+ vX_[153] * vX_[102] + vX_[150] * vX_[368] + vX_[170] * vX_[90] + (-0.00021200017 * vX_[299]) / vX_[154] -
+ 0.0036857284 * vX_[92] - -0.0022920002 * (vX_[81] - vX_[105]);
+ vX_[211] = 1.7423722 * vX_[211] + 0.160298259823722 * vX_[92] + -0.008711861 * vX_[344] + vX_[49] * vX_[348] +
+ vX_[78] * vX_[120] + vX_[39] * vX_[84] + vX_[171] * vX_[102] + vX_[193] * vX_[368] + vX_[199] * vX_[90] +
+ (vX_[169] * vX_[299]) / vX_[154] - 1.52322944854339e-09 * (vX_[105] + vX_[118]);
+ vX_[247] = (-vX_[22]) * x_in[8];
+ vX_[141] = vX_[11] * x_in[8];
+ vX_[200] = vX_[15] * x_in[8];
+ vX_[125] = (-vX_[34]) * x_in[8];
+ vX_[140] = vX_[10] * vX_[34];
+ vX_[147] = vX_[23] * vX_[11] + vX_[22] * vX_[18];
+ vX_[111] = vX_[22] * vX_[10];
+ vX_[151] = vX_[18] * vX_[11] + vX_[11] * vX_[18];
+ vX_[165] = -0.0055615274403 * vX_[140] + 0.00750500000000001 * vX_[147] + -0.0037997814 * vX_[111] +
+ vX_[28] * vX_[345] + vX_[26] * vX_[250] - 0.01438086 * vX_[220] - -0.011715295 * vX_[173] -
+ 5.399998e-05 * (vX_[151] - vX_[226]);
+ vX_[316] = 0 - vX_[165];
+ vX_[303] = vX_[23] * vX_[15] + vX_[22] * vX_[16] - (vX_[18] * vX_[34] + vX_[11] * vX_[35]);
+ vX_[250] = 0.647967112 * vX_[220] + 5.399998e-05 * vX_[173] + -0.011715295 * (0 - vX_[226]) + vX_[26] * vX_[345] +
+ vX_[27] * vX_[250] + -0.304 * vX_[211] + vX_[225] * vX_[247] + vX_[235] * vX_[141] +
+ vX_[244] * vX_[200] + vX_[256] * vX_[125] + (vX_[221] * vX_[316]) / vX_[223] -
+ -0.0055615274403 * vX_[303] - -0.192033951 * vX_[111] - -0.0037997814 * vX_[147];
+ vX_[140] = -vX_[140];
+ vX_[105] = 1.7423722 * vX_[373] + 1.52322944854339e-09 * vX_[92] + -0.008711861 * vX_[195] +
+ 2.1032 * (vX_[64] * vX_[33] + vX_[310] * vX_[59] - (vX_[50] * vX_[249] + vX_[191] * vX_[82])) +
+ vX_[95] * vX_[298] + vX_[68] * vX_[25] + vX_[162] * vX_[327] + vX_[167] * vX_[203] +
+ vX_[163] * vX_[230] + vX_[166] * vX_[251] + (vX_[160] * vX_[351]) / vX_[117] + vX_[174] * vX_[84] +
+ vX_[150] * vX_[102] + vX_[204] * vX_[368] + vX_[206] * vX_[90] + (vX_[172] * vX_[299]) / vX_[154] -
+ 0.160298259823722 * (vX_[81] + vX_[105]) - 0.057838 * (vX_[323] + vX_[101]);
+ vX_[195] = -1.7423722 * (vX_[65] - vX_[301]) + 0.160298259823722 * vX_[195] + 1.52322944854339e-09 * vX_[344] +
+ vX_[48] * vX_[348] + vX_[49] * vX_[120] + vX_[186] * vX_[84] + vX_[170] * vX_[102] +
+ vX_[206] * vX_[368] + vX_[202] * vX_[90] + (vX_[184] * vX_[299]) / vX_[154] -
+ -0.008711861 * (vX_[81] + vX_[118]);
+ vX_[303] = 0.01438086 * vX_[303] + 0.647967112 * vX_[140] + -0.199538951 * vX_[173] + -0.011715295 * vX_[147] +
+ vX_[51] * vX_[105] + -1 * (vX_[114] + (vX_[154] * vX_[299]) / vX_[154]) + vX_[38] * vX_[195] +
+ vX_[235] * vX_[247] + vX_[222] * vX_[141] + vX_[219] * vX_[200] + vX_[240] * vX_[125] +
+ (vX_[234] * vX_[316]) / vX_[223] - 5.399998e-05 * vX_[111] - -0.0037997814 * (0 - vX_[151]);
+ vX_[151] = 2.327 * vX_[220] + 0.647967112 * vX_[111] + 0.01438086 * vX_[147] + -1 * vX_[211] + vX_[244] * vX_[247] +
+ vX_[219] * vX_[141] + vX_[88] * vX_[200] + vX_[85] * vX_[125] + (vX_[242] * vX_[316]) / vX_[223] -
+ -0.0055615274403 * vX_[151];
+ vX_[195] = -2.327 * vX_[140] + -0.0055615274403 * vX_[147] + 0.647967112 * vX_[173] + vX_[26] * vX_[195] +
+ vX_[27] * vX_[105] + vX_[256] * vX_[247] + vX_[240] * vX_[141] + vX_[85] * vX_[200] +
+ vX_[44] * vX_[125] + (vX_[254] * vX_[316]) / vX_[223] - 0.01438086 * vX_[226];
+ vX_[105] = -0.022851627 * vX_[14] - -0.002752 * vX_[5] - vX_[11] * vX_[250] - vX_[22] * vX_[303] -
+ vX_[34] * vX_[151] - vX_[15] * vX_[195];
+ jac[90] = (0 -
+ vX_[0] * (0.0055279857 * vX_[14] + -0.022851627 * vX_[296] + vX_[9] * vX_[250] + vX_[11] * vX_[303] +
+ vX_[30] * vX_[151] + vX_[12] * vX_[195] + vX_[13] * vX_[329] + vX_[265] * vX_[14] +
+ (vX_[42] * vX_[105]) / vX_[24] - 0.012390532 * vX_[5]) -
+ vX_[4] * (-0.034462002 * vX_[14] + (vX_[223] * vX_[316]) / vX_[223] + vX_[165] + vX_[265] * vX_[329] +
+ vX_[98] * vX_[14] + (-0.022851627 * vX_[105]) / vX_[24] - 0.0055279857 * vX_[5] -
+ -0.002752 * vX_[296])) /
+ vX_[385];
+ vX_[329] = vX_[0] * jac[90] + vX_[329];
+ vX_[14] = vX_[4] * jac[90] + vX_[14];
+ jac[91] = (vX_[105] - vX_[42] * vX_[329] - -0.022851627 * vX_[14]) / vX_[24];
+ vX_[247] = vX_[11] * jac[91] + vX_[9] * vX_[329] + vX_[247];
+ vX_[141] = vX_[22] * jac[91] + vX_[11] * vX_[329] + vX_[141];
+ vX_[125] = vX_[15] * jac[91] + vX_[12] * vX_[329] + vX_[125];
+ vX_[329] = vX_[34] * jac[91] + vX_[30] * vX_[329] + vX_[200];
+ jac[92] = (vX_[316] - vX_[223] * vX_[14] - vX_[221] * vX_[247] - vX_[234] * vX_[141] - vX_[254] * vX_[125] -
+ vX_[242] * vX_[329]) /
+ vX_[223];
+ vX_[316] = -1 * vX_[141];
+ vX_[14] = vX_[14] + jac[92];
+ vX_[84] = vX_[28] * vX_[14] + vX_[26] * vX_[247] + vX_[84];
+ vX_[14] = vX_[26] * vX_[14] + vX_[27] * vX_[247] + vX_[102];
+ vX_[329] = -0.304 * vX_[247] + -1 * vX_[329];
+ vX_[90] = vX_[26] * vX_[125] + vX_[38] * vX_[141] + vX_[90];
+ vX_[125] = vX_[27] * vX_[125] + vX_[51] * vX_[141] + vX_[368];
+ jac[93] = (vX_[299] - vX_[154] * vX_[316] - vX_[152] * vX_[84] - -0.00021200017 * vX_[14] - vX_[169] * vX_[329] -
+ vX_[184] * vX_[90] - vX_[172] * vX_[125]) /
+ vX_[154];
+ vX_[316] = vX_[316] + jac[93];
+ vX_[327] = vX_[49] * vX_[316] + vX_[48] * vX_[84] + vX_[327];
+ vX_[203] = vX_[63] * vX_[316] + vX_[49] * vX_[84] + vX_[203];
+ vX_[230] = vX_[76] * vX_[316] + vX_[77] * vX_[84] + vX_[49] * vX_[90] + vX_[78] * vX_[329] + vX_[230];
+ jac[94] =
+ (vX_[351] - vX_[117] * vX_[14] - vX_[108] * vX_[327] - vX_[122] * vX_[203] - vX_[160] * vX_[125] -
+ vX_[134] * (vX_[56] * vX_[316] + vX_[57] * vX_[84] + vX_[48] * vX_[90] + vX_[49] * vX_[329] + vX_[251]) -
+ vX_[130] * vX_[230]) /
+ vX_[117];
+ vX_[14] = vX_[14] + jac[94];
+ jac[95] = (vX_[135] - 0.009277 * vX_[327] - -0.000829 * (vX_[70] * vX_[14] + vX_[68] * vX_[203] + vX_[313]) -
+ 1.5e-05 * (vX_[68] * vX_[14] + vX_[67] * vX_[203] + vX_[179]) -
+ 0.038686875 * (vX_[68] * vX_[230] + vX_[94] * vX_[327] + vX_[95] * vX_[125] + vX_[237])) /
+ 0.009277;
+ vX_[14] = -vX_[16];
+ vX_[10] = vX_[10] + vX_[10];
+ vX_[230] = vX_[28] * vX_[36];
+ vX_[203] = vX_[28] * vX_[37];
+ vX_[327] = vX_[45] * vX_[26] + vX_[26] * vX_[45];
+ vX_[125] = vX_[48] * vX_[28];
+ vX_[237] = vX_[57] * vX_[28];
+ vX_[179] = vX_[125] * vX_[54] - (vX_[55] * vX_[237] + vX_[26] * vX_[59]);
+ vX_[313] = vX_[50] * vX_[26] + vX_[125] * vX_[55];
+ vX_[135] = vX_[55] * vX_[26] + vX_[26] * vX_[55];
+ vX_[316] = vX_[49] * vX_[28];
+ vX_[90] = vX_[64] * vX_[316] + vX_[316] * vX_[64];
+ vX_[329] = vX_[68] * vX_[316] + vX_[70] * vX_[26];
+ vX_[84] = vX_[67] * vX_[316] + vX_[68] * vX_[26];
+ vX_[351] = vX_[69] * vX_[329] + vX_[84] * vX_[73];
+ vX_[251] = vX_[77] * vX_[28];
+ vX_[299] = vX_[67] * vX_[251] + vX_[80] * vX_[125];
+ vX_[141] = vX_[75] * vX_[299] + vX_[125] * vX_[83];
+ vX_[368] = 0.02075 * vX_[26] + -0.184 * vX_[316] + vX_[237];
+ vX_[247] = vX_[69] * vX_[368] + vX_[84] * vX_[86];
+ vX_[102] = vX_[69] * vX_[125] + vX_[84] * vX_[75];
+ vX_[200] = vX_[73] * vX_[125] + vX_[329] * vX_[75];
+ vX_[105] = vX_[73] * vX_[329] + vX_[329] * vX_[73];
+ vX_[195] = vX_[69] * vX_[84] + vX_[84] * vX_[69];
+ vX_[151] = -0.00751 * vX_[351] + 0.038686875 * (vX_[141] - vX_[247]) + -0.000829 * vX_[102] - 1.5e-05 * vX_[200] -
+ 0.000198 * (vX_[105] - vX_[195]);
+ vX_[303] = 0 - vX_[151];
+ vX_[250] = vX_[68] * vX_[251] + vX_[94] * vX_[125];
+ vX_[165] = vX_[75] * vX_[125] + vX_[125] * vX_[75];
+ vX_[368] = 1.547475 * (vX_[73] * vX_[368] + vX_[329] * vX_[86] - (vX_[75] * vX_[250] + vX_[125] * vX_[97])) +
+ 1.547475 * vX_[250] * x_in[11] - 0.038686875 * (vX_[165] + vX_[105]);
+ vX_[296] = (-vX_[84]) * x_in[11];
+ vX_[98] = vX_[329] * x_in[11];
+ vX_[265] = (-vX_[299]) * x_in[11];
+ vX_[247] = 0.038686875 * vX_[351] + -1.547475 * (vX_[247] - vX_[141]) + 0.00345708950900075 * vX_[296] +
+ -6.25528861700981e-05 * vX_[98] + 1.38614328745655 * vX_[265] + (0.038686875 * vX_[303]) / 0.009277;
+ vX_[141] = (-vX_[316]) * x_in[10];
+ vX_[13] = vX_[125] * x_in[10];
+ vX_[5] = vX_[237] * x_in[10];
+ vX_[140] = (-vX_[251]) * x_in[10];
+ vX_[147] = vX_[64] * vX_[26] + vX_[316] * vX_[55];
+ vX_[226] = vX_[64] * vX_[125] + vX_[316] * vX_[50];
+ vX_[250] = vX_[69] * vX_[250] + vX_[84] * vX_[97] - (vX_[73] * vX_[299] + vX_[329] * vX_[83]);
+ vX_[195] = 0.000198 * vX_[200] + 1.5e-05 * (vX_[165] - vX_[195]) + 0.00315291990945349 * vX_[296] +
+ 0.000199340411771047 * vX_[98] + 0.00345708950900075 * vX_[265] + (-0.000829 * vX_[303]) / 0.009277 -
+ 0.038686875 * vX_[250] - -0.00146 * vX_[102] - -0.000829 * vX_[351];
+ vX_[165] = 0.00605 * vX_[200] + 1.5e-05 * vX_[351] + 0.000199340411771047 * vX_[296] +
+ 0.0107369757464698 * vX_[98] + -6.25528861700981e-05 * vX_[265] + (1.5e-05 * vX_[303]) / 0.009277 -
+ 0.000198 * vX_[102] - -0.000829 * (vX_[165] - vX_[105]);
+ vX_[250] = 0.038686875 * vX_[102] + 1.547475 * vX_[250] + -0.038686875 * vX_[296];
+ vX_[102] = vX_[50] * vX_[125] + vX_[125] * vX_[50];
+ vX_[105] = -0.001243 * vX_[147] + 0.009683 * vX_[226] + vX_[70] * vX_[195] + vX_[68] * vX_[165] +
+ 0.02075 * vX_[250] - -0.012652 * vX_[313] - -0.001387 * (vX_[102] - vX_[90]);
+ vX_[200] = 0 - vX_[105];
+ vX_[151] = 0.057838 * vX_[179] + -0.001387 * vX_[313] + -0.012652 * (vX_[135] - vX_[90]) +
+ (0.009277 * vX_[303]) / 0.009277 + vX_[151] + vX_[80] * vX_[368] + vX_[94] * vX_[247] +
+ vX_[119] * vX_[141] + vX_[123] * vX_[13] + vX_[132] * vX_[5] + vX_[136] * vX_[140] +
+ (vX_[108] * vX_[200]) / vX_[117] - -0.008386 * vX_[147] - -0.001243 * vX_[226];
+ vX_[351] = vX_[316] * vX_[54] - (vX_[55] * vX_[251] + vX_[26] * vX_[82]);
+ vX_[165] = -0.018069 * vX_[313] + 0.057838 * vX_[351] + -0.012652 * vX_[226] + vX_[68] * vX_[195] +
+ vX_[67] * vX_[165] + -0.184 * vX_[250] + vX_[123] * vX_[141] + vX_[116] * vX_[13] + vX_[72] * vX_[5] +
+ vX_[128] * vX_[140] + (vX_[122] * vX_[200]) / vX_[117] - -0.001387 * vX_[147] -
+ -0.001243 * (vX_[135] - vX_[102]);
+ vX_[147] = 0.057838 * vX_[147] + 2.1032 * vX_[179] + vX_[68] * vX_[247] + vX_[67] * vX_[368] + vX_[132] * vX_[141] +
+ vX_[72] * vX_[13] + vX_[62] * vX_[5] + vX_[71] * vX_[140] + (vX_[130] * vX_[200]) / vX_[117];
+ vX_[351] = 0.057838 * vX_[313] + -2.1032 * vX_[351] + vX_[250] + vX_[136] * vX_[141] + vX_[128] * vX_[13] +
+ vX_[71] * vX_[5] + vX_[60] * vX_[140] + (vX_[134] * vX_[200]) / vX_[117];
+ vX_[250] = (-vX_[26]) * x_in[9];
+ vX_[313] = vX_[28] * x_in[9];
+ vX_[36] = vX_[26] * vX_[36];
+ vX_[179] = vX_[45] * vX_[28] + vX_[26] * vX_[29];
+ vX_[195] = vX_[26] * vX_[37];
+ vX_[226] = vX_[29] * vX_[28] + vX_[28] * vX_[29];
+ vX_[135] = 0.160298259823722 * (0 - vX_[36]) + -0.06337651 * vX_[179] + -0.0022920002 * vX_[195] +
+ vX_[49] * vX_[151] + vX_[63] * vX_[165] + vX_[76] * vX_[147] + vX_[56] * vX_[351] -
+ -0.008711861 * vX_[230] - -0.00021200017 * vX_[203] - 0.0036857284 * (vX_[226] - vX_[327]);
+ vX_[299] = 0 - vX_[135];
+ vX_[84] = vX_[26] * vX_[41] - vX_[28] * vX_[54];
+ vX_[165] = 1.52322944854339e-09 * vX_[230] + 0.0036857284 * vX_[203] + -0.00021200017 * (0 - vX_[327]) +
+ vX_[48] * vX_[151] + vX_[49] * vX_[165] + vX_[77] * vX_[147] + vX_[57] * vX_[351] + vX_[156] * vX_[250] +
+ vX_[158] * vX_[313] + (vX_[152] * vX_[299]) / vX_[154] - 0.160298259823722 * vX_[84] -
+ 0.01404749 * vX_[195] - -0.0022920002 * vX_[179];
+ vX_[105] = -0.008711861 * vX_[84] + 1.52322944854339e-09 * vX_[36] + 0.077424 * vX_[203] +
+ -0.00021200017 * vX_[179] + (vX_[117] * vX_[200]) / vX_[117] + vX_[105] + vX_[158] * vX_[250] +
+ vX_[153] * vX_[313] + (-0.00021200017 * vX_[299]) / vX_[154] - 0.0036857284 * vX_[195] -
+ -0.0022920002 * (0 - vX_[226]);
+ vX_[84] = 1.7423722 * vX_[84] + 0.160298259823722 * vX_[195] + -0.008711861 * vX_[203] + vX_[49] * vX_[351] +
+ vX_[78] * vX_[147] + vX_[39] * vX_[250] + vX_[171] * vX_[313] + (vX_[169] * vX_[299]) / vX_[154] -
+ 1.52322944854339e-09 * (vX_[226] + vX_[327]);
+ vX_[151] = -0.0055615274403 * vX_[35] + -0.0037997814 * vX_[23] + vX_[28] * vX_[165] + vX_[26] * vX_[105] -
+ 0.01438086 * vX_[14] - -0.011715295 * vX_[18];
+ vX_[329] = 0 - vX_[151];
+ vX_[105] = 0.647967112 * vX_[14] + 5.399998e-05 * vX_[18] + -0.011715295 * vX_[10] + vX_[26] * vX_[165] +
+ vX_[27] * vX_[105] + -0.304 * vX_[84] + vX_[225] * vX_[322] + vX_[235] * vX_[18] + vX_[244] * vX_[16] +
+ vX_[256] * vX_[326] + (vX_[221] * vX_[329]) / vX_[223] - -0.192033951 * vX_[23];
+ vX_[35] = -vX_[35];
+ vX_[226] = 1.7423722 * vX_[230] + 1.52322944854339e-09 * vX_[195] + -0.008711861 * vX_[179] +
+ 2.1032 * (vX_[64] * vX_[237] + vX_[316] * vX_[59] - (vX_[50] * vX_[251] + vX_[125] * vX_[82])) +
+ vX_[95] * vX_[247] + vX_[68] * vX_[368] + vX_[162] * vX_[141] + vX_[167] * vX_[13] + vX_[163] * vX_[5] +
+ vX_[166] * vX_[140] + (vX_[160] * vX_[200]) / vX_[117] + vX_[174] * vX_[250] + vX_[150] * vX_[313] +
+ (vX_[172] * vX_[299]) / vX_[154] - 0.160298259823722 * vX_[226] - 0.057838 * (vX_[102] + vX_[90]);
+ vX_[179] = -1.7423722 * vX_[36] + 0.160298259823722 * vX_[179] + 1.52322944854339e-09 * vX_[203] +
+ vX_[48] * vX_[351] + vX_[49] * vX_[147] + vX_[186] * vX_[250] + vX_[170] * vX_[313] +
+ (vX_[184] * vX_[299]) / vX_[154] - -0.008711861 * vX_[327];
+ vX_[135] = 0.647967112 * vX_[35] + -0.199538951 * vX_[18] + vX_[51] * vX_[226] +
+ -1 * (vX_[135] + (vX_[154] * vX_[299]) / vX_[154]) + vX_[38] * vX_[179] + vX_[235] * vX_[322] +
+ vX_[222] * vX_[18] + vX_[219] * vX_[16] + vX_[240] * vX_[326] + (vX_[234] * vX_[329]) / vX_[223] -
+ 5.399998e-05 * vX_[23] - -0.0037997814 * vX_[10];
+ vX_[84] = 2.327 * vX_[14] + 0.647967112 * vX_[23] + -1 * vX_[84] + vX_[244] * vX_[322] + vX_[219] * vX_[18] +
+ vX_[88] * vX_[16] + vX_[85] * vX_[326] + (vX_[242] * vX_[329]) / vX_[223] - -0.0055615274403 * vX_[10];
+ vX_[179] = -2.327 * vX_[35] + 0.647967112 * vX_[18] + vX_[26] * vX_[179] + vX_[27] * vX_[226] +
+ vX_[256] * vX_[322] + vX_[240] * vX_[18] + vX_[85] * vX_[16] + vX_[44] * vX_[326] +
+ (vX_[254] * vX_[329]) / vX_[223] - 0.01438086 * vX_[10];
+ vX_[226] = 0 - vX_[11] * vX_[105] - vX_[22] * vX_[135] - vX_[34] * vX_[84] - vX_[15] * vX_[179];
+ jac[102] = (0 -
+ vX_[0] * (vX_[9] * vX_[105] + vX_[11] * vX_[135] + vX_[30] * vX_[84] + vX_[12] * vX_[179] +
+ (vX_[42] * vX_[226]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[329]) / vX_[223] + vX_[151] + (-0.022851627 * vX_[226]) / vX_[24])) /
+ vX_[385];
+ vX_[179] = vX_[0] * jac[102];
+ vX_[84] = vX_[4] * jac[102];
+ jac[103] = (vX_[226] - vX_[42] * vX_[179] - -0.022851627 * vX_[84]) / vX_[24];
+ vX_[322] = vX_[11] * jac[103] + vX_[9] * vX_[179] + vX_[322];
+ vX_[18] = vX_[22] * jac[103] + vX_[11] * vX_[179] + vX_[18];
+ vX_[326] = vX_[15] * jac[103] + vX_[12] * vX_[179] + vX_[326];
+ vX_[179] = vX_[34] * jac[103] + vX_[30] * vX_[179] + vX_[16];
+ jac[104] = (vX_[329] - vX_[223] * vX_[84] - vX_[221] * vX_[322] - vX_[234] * vX_[18] - vX_[254] * vX_[326] -
+ vX_[242] * vX_[179]) /
+ vX_[223];
+ vX_[329] = -1 * vX_[18];
+ vX_[84] = vX_[84] + jac[104];
+ vX_[250] = vX_[28] * vX_[84] + vX_[26] * vX_[322] + vX_[250];
+ vX_[84] = vX_[26] * vX_[84] + vX_[27] * vX_[322] + vX_[313];
+ vX_[179] = -0.304 * vX_[322] + -1 * vX_[179];
+ vX_[322] = vX_[26] * vX_[326] + vX_[38] * vX_[18];
+ vX_[326] = vX_[27] * vX_[326] + vX_[51] * vX_[18];
+ jac[105] = (vX_[299] - vX_[154] * vX_[329] - vX_[152] * vX_[250] - -0.00021200017 * vX_[84] - vX_[169] * vX_[179] -
+ vX_[184] * vX_[322] - vX_[172] * vX_[326]) /
+ vX_[154];
+ vX_[329] = vX_[329] + jac[105];
+ vX_[141] = vX_[49] * vX_[329] + vX_[48] * vX_[250] + vX_[141];
+ vX_[13] = vX_[63] * vX_[329] + vX_[49] * vX_[250] + vX_[13];
+ vX_[5] = vX_[76] * vX_[329] + vX_[77] * vX_[250] + vX_[49] * vX_[322] + vX_[78] * vX_[179] + vX_[5];
+ jac[106] =
+ (vX_[200] - vX_[117] * vX_[84] - vX_[108] * vX_[141] - vX_[122] * vX_[13] - vX_[160] * vX_[326] -
+ vX_[134] * (vX_[56] * vX_[329] + vX_[57] * vX_[250] + vX_[48] * vX_[322] + vX_[49] * vX_[179] + vX_[140]) -
+ vX_[130] * vX_[5]) /
+ vX_[117];
+ vX_[84] = vX_[84] + jac[106];
+ jac[107] = (vX_[303] - 0.009277 * vX_[141] - -0.000829 * (vX_[70] * vX_[84] + vX_[68] * vX_[13] + vX_[296]) -
+ 1.5e-05 * (vX_[68] * vX_[84] + vX_[67] * vX_[13] + vX_[98]) -
+ 0.038686875 * (vX_[68] * vX_[5] + vX_[94] * vX_[141] + vX_[95] * vX_[326] + vX_[265])) /
+ 0.009277;
+ vX_[84] = 0 - vX_[41];
+ vX_[37] = vX_[37] + vX_[37];
+ vX_[5] = vX_[49] * vX_[54] - vX_[55] * vX_[56];
+ vX_[13] = vX_[49] * vX_[55];
+ vX_[141] = vX_[64] * vX_[63] + vX_[63] * vX_[64];
+ vX_[326] = vX_[68] * vX_[63];
+ vX_[265] = vX_[67] * vX_[63];
+ vX_[98] = vX_[69] * vX_[326] + vX_[265] * vX_[73];
+ vX_[296] = vX_[67] * vX_[76] + vX_[80] * vX_[49];
+ vX_[303] = vX_[75] * vX_[296] + vX_[49] * vX_[83];
+ vX_[329] = -0.184 * vX_[63] + vX_[56];
+ vX_[322] = vX_[69] * vX_[329] + vX_[265] * vX_[86];
+ vX_[179] = vX_[69] * vX_[49] + vX_[265] * vX_[75];
+ vX_[250] = vX_[73] * vX_[49] + vX_[326] * vX_[75];
+ vX_[200] = vX_[73] * vX_[326] + vX_[326] * vX_[73];
+ vX_[140] = vX_[69] * vX_[265] + vX_[265] * vX_[69];
+ vX_[299] = -0.00751 * vX_[98] + 0.038686875 * (vX_[303] - vX_[322]) + -0.000829 * vX_[179] - 1.5e-05 * vX_[250] -
+ 0.000198 * (vX_[200] - vX_[140]);
+ vX_[18] = 0 - vX_[299];
+ vX_[313] = vX_[68] * vX_[76] + vX_[94] * vX_[49];
+ vX_[16] = vX_[75] * vX_[49] + vX_[49] * vX_[75];
+ vX_[329] = 1.547475 * (vX_[73] * vX_[329] + vX_[326] * vX_[86] - (vX_[75] * vX_[313] + vX_[49] * vX_[97])) +
+ 1.547475 * vX_[313] * x_in[11] - 0.038686875 * (vX_[16] + vX_[200]);
+ vX_[226] = (-vX_[265]) * x_in[11];
+ vX_[135] = vX_[326] * x_in[11];
+ vX_[105] = (-vX_[296]) * x_in[11];
+ vX_[322] = 0.038686875 * vX_[98] + -1.547475 * (vX_[322] - vX_[303]) + 0.00345708950900075 * vX_[226] +
+ -6.25528861700981e-05 * vX_[135] + 1.38614328745655 * vX_[105] + (0.038686875 * vX_[18]) / 0.009277;
+ vX_[303] = (-vX_[63]) * x_in[10];
+ vX_[151] = vX_[49] * x_in[10];
+ vX_[35] = vX_[56] * x_in[10];
+ vX_[10] = (-vX_[76]) * x_in[10];
+ vX_[44] = vX_[63] * vX_[55];
+ vX_[85] = vX_[64] * vX_[49] + vX_[63] * vX_[50];
+ vX_[313] = vX_[69] * vX_[313] + vX_[265] * vX_[97] - (vX_[73] * vX_[296] + vX_[326] * vX_[83]);
+ vX_[140] = 0.000198 * vX_[250] + 1.5e-05 * (vX_[16] - vX_[140]) + 0.00315291990945349 * vX_[226] +
+ 0.000199340411771047 * vX_[135] + 0.00345708950900075 * vX_[105] + (-0.000829 * vX_[18]) / 0.009277 -
+ 0.038686875 * vX_[313] - -0.00146 * vX_[179] - -0.000829 * vX_[98];
+ vX_[16] = 0.00605 * vX_[250] + 1.5e-05 * vX_[98] + 0.000199340411771047 * vX_[226] + 0.0107369757464698 * vX_[135] +
+ -6.25528861700981e-05 * vX_[105] + (1.5e-05 * vX_[18]) / 0.009277 - 0.000198 * vX_[179] -
+ -0.000829 * (vX_[16] - vX_[200]);
+ vX_[313] = 0.038686875 * vX_[179] + 1.547475 * vX_[313] + -0.038686875 * vX_[226];
+ vX_[179] = vX_[50] * vX_[49] + vX_[49] * vX_[50];
+ vX_[200] = -0.001243 * vX_[44] + 0.009683 * vX_[85] + vX_[70] * vX_[140] + vX_[68] * vX_[16] + 0.02075 * vX_[313] -
+ -0.012652 * vX_[13] - -0.001387 * (vX_[179] - vX_[141]);
+ vX_[250] = 0 - vX_[200];
+ vX_[299] = 0.057838 * vX_[5] + -0.001387 * vX_[13] + -0.012652 * (0 - vX_[141]) + (0.009277 * vX_[18]) / 0.009277 +
+ vX_[299] + vX_[80] * vX_[329] + vX_[94] * vX_[322] + vX_[119] * vX_[303] + vX_[123] * vX_[151] +
+ vX_[132] * vX_[35] + vX_[136] * vX_[10] + (vX_[108] * vX_[250]) / vX_[117] - -0.008386 * vX_[44] -
+ -0.001243 * vX_[85];
+ vX_[98] = vX_[63] * vX_[54] - vX_[55] * vX_[76];
+ vX_[16] = -0.018069 * vX_[13] + 0.057838 * vX_[98] + -0.012652 * vX_[85] + vX_[68] * vX_[140] + vX_[67] * vX_[16] +
+ -0.184 * vX_[313] + vX_[123] * vX_[303] + vX_[116] * vX_[151] + vX_[72] * vX_[35] + vX_[128] * vX_[10] +
+ (vX_[122] * vX_[250]) / vX_[117] - -0.001387 * vX_[44] - -0.001243 * (0 - vX_[179]);
+ vX_[44] = 0.057838 * vX_[44] + 2.1032 * vX_[5] + vX_[68] * vX_[322] + vX_[67] * vX_[329] + vX_[132] * vX_[303] +
+ vX_[72] * vX_[151] + vX_[62] * vX_[35] + vX_[71] * vX_[10] + (vX_[130] * vX_[250]) / vX_[117];
+ vX_[98] = 0.057838 * vX_[13] + -2.1032 * vX_[98] + vX_[313] + vX_[136] * vX_[303] + vX_[128] * vX_[151] +
+ vX_[71] * vX_[35] + vX_[60] * vX_[10] + (vX_[134] * vX_[250]) / vX_[117];
+ vX_[313] = 0.160298259823722 * vX_[54] + -0.0022920002 * vX_[45] + vX_[49] * vX_[299] + vX_[63] * vX_[16] +
+ vX_[76] * vX_[44] + vX_[56] * vX_[98] - -0.008711861 * vX_[84] - -0.00021200017 * vX_[29];
+ vX_[13] = 0 - vX_[313];
+ vX_[16] = 1.52322944854339e-09 * vX_[84] + 0.0036857284 * vX_[29] + -0.00021200017 * vX_[37] + vX_[48] * vX_[299] +
+ vX_[49] * vX_[16] + vX_[77] * vX_[44] + vX_[57] * vX_[98] + vX_[156] * vX_[306] + vX_[158] * vX_[29] +
+ vX_[174] * vX_[41] + vX_[186] * vX_[307] + (vX_[152] * vX_[13]) / vX_[154] - 0.01404749 * vX_[45];
+ vX_[200] = 1.52322944854339e-09 * (0 - vX_[54]) + 0.077424 * vX_[29] + (vX_[117] * vX_[250]) / vX_[117] + vX_[200] +
+ vX_[158] * vX_[306] + vX_[153] * vX_[29] + vX_[150] * vX_[41] + vX_[170] * vX_[307] +
+ (-0.00021200017 * vX_[13]) / vX_[154] - 0.0036857284 * vX_[45] - -0.0022920002 * vX_[37];
+ vX_[199] = 0.160298259823722 * vX_[45] + -0.008711861 * vX_[29] + vX_[49] * vX_[98] + vX_[78] * vX_[44] +
+ vX_[39] * vX_[306] + vX_[171] * vX_[29] + vX_[193] * vX_[41] + vX_[199] * vX_[307] +
+ (vX_[169] * vX_[13]) / vX_[154];
+ vX_[193] = vX_[28] * vX_[16] + vX_[26] * vX_[200];
+ vX_[171] = 0 - vX_[193];
+ vX_[200] = vX_[26] * vX_[16] + vX_[27] * vX_[200] + -0.304 * vX_[199] + (vX_[221] * vX_[171]) / vX_[223];
+ vX_[179] = 1.7423722 * vX_[84] + 1.52322944854339e-09 * vX_[45] +
+ 2.1032 * (vX_[64] * vX_[56] + vX_[63] * vX_[59] - (vX_[50] * vX_[76] + vX_[49] * vX_[82])) +
+ vX_[95] * vX_[322] + vX_[68] * vX_[329] + vX_[162] * vX_[303] + vX_[167] * vX_[151] +
+ vX_[163] * vX_[35] + vX_[166] * vX_[10] + (vX_[160] * vX_[250]) / vX_[117] + vX_[174] * vX_[306] +
+ vX_[150] * vX_[29] + vX_[204] * vX_[41] + vX_[206] * vX_[307] + (vX_[172] * vX_[13]) / vX_[154] -
+ 0.160298259823722 * vX_[37] - 0.057838 * (vX_[179] + vX_[141]);
+ vX_[98] = -1.7423722 * (0 - vX_[54]) + 1.52322944854339e-09 * vX_[29] + vX_[48] * vX_[98] + vX_[49] * vX_[44] +
+ vX_[186] * vX_[306] + vX_[170] * vX_[29] + vX_[206] * vX_[41] + vX_[202] * vX_[307] +
+ (vX_[184] * vX_[13]) / vX_[154] - -0.008711861 * vX_[37];
+ vX_[313] = vX_[51] * vX_[179] + -1 * (vX_[313] + (vX_[154] * vX_[13]) / vX_[154]) + vX_[38] * vX_[98] +
+ (vX_[234] * vX_[171]) / vX_[223];
+ vX_[199] = -1 * vX_[199] + (vX_[242] * vX_[171]) / vX_[223];
+ vX_[98] = vX_[26] * vX_[98] + vX_[27] * vX_[179] + (vX_[254] * vX_[171]) / vX_[223];
+ vX_[179] = 0 - vX_[11] * vX_[200] - vX_[22] * vX_[313] - vX_[34] * vX_[199] - vX_[15] * vX_[98];
+ jac[114] = (0 -
+ vX_[0] * (vX_[9] * vX_[200] + vX_[11] * vX_[313] + vX_[30] * vX_[199] + vX_[12] * vX_[98] +
+ (vX_[42] * vX_[179]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[171]) / vX_[223] + vX_[193] + (-0.022851627 * vX_[179]) / vX_[24])) /
+ vX_[385];
+ vX_[98] = vX_[0] * jac[114];
+ vX_[199] = vX_[4] * jac[114];
+ jac[115] = (vX_[179] - vX_[42] * vX_[98] - -0.022851627 * vX_[199]) / vX_[24];
+ vX_[179] = vX_[11] * jac[115] + vX_[9] * vX_[98];
+ vX_[313] = vX_[22] * jac[115] + vX_[11] * vX_[98];
+ vX_[200] = vX_[15] * jac[115] + vX_[12] * vX_[98];
+ vX_[98] = vX_[34] * jac[115] + vX_[30] * vX_[98];
+ jac[116] = (vX_[171] - vX_[223] * vX_[199] - vX_[221] * vX_[179] - vX_[234] * vX_[313] - vX_[254] * vX_[200] -
+ vX_[242] * vX_[98]) /
+ vX_[223];
+ vX_[171] = -1 * vX_[313];
+ vX_[199] = vX_[199] + jac[116];
+ vX_[306] = vX_[28] * vX_[199] + vX_[26] * vX_[179] + vX_[306];
+ vX_[199] = vX_[26] * vX_[199] + vX_[27] * vX_[179] + vX_[29];
+ vX_[98] = -0.304 * vX_[179] + -1 * vX_[98];
+ vX_[307] = vX_[26] * vX_[200] + vX_[38] * vX_[313] + vX_[307];
+ vX_[200] = vX_[27] * vX_[200] + vX_[51] * vX_[313] + vX_[41];
+ jac[117] = (vX_[13] - vX_[154] * vX_[171] - vX_[152] * vX_[306] - -0.00021200017 * vX_[199] - vX_[169] * vX_[98] -
+ vX_[184] * vX_[307] - vX_[172] * vX_[200]) /
+ vX_[154];
+ vX_[171] = vX_[171] + jac[117];
+ vX_[303] = vX_[49] * vX_[171] + vX_[48] * vX_[306] + vX_[303];
+ vX_[151] = vX_[63] * vX_[171] + vX_[49] * vX_[306] + vX_[151];
+ vX_[35] = vX_[76] * vX_[171] + vX_[77] * vX_[306] + vX_[49] * vX_[307] + vX_[78] * vX_[98] + vX_[35];
+ jac[118] =
+ (vX_[250] - vX_[117] * vX_[199] - vX_[108] * vX_[303] - vX_[122] * vX_[151] - vX_[160] * vX_[200] -
+ vX_[134] * (vX_[56] * vX_[171] + vX_[57] * vX_[306] + vX_[48] * vX_[307] + vX_[49] * vX_[98] + vX_[10]) -
+ vX_[130] * vX_[35]) /
+ vX_[117];
+ vX_[199] = vX_[199] + jac[118];
+ jac[119] = (vX_[18] - 0.009277 * vX_[303] - -0.000829 * (vX_[70] * vX_[199] + vX_[68] * vX_[151] + vX_[226]) -
+ 1.5e-05 * (vX_[68] * vX_[199] + vX_[67] * vX_[151] + vX_[135]) -
+ 0.038686875 * (vX_[68] * vX_[35] + vX_[94] * vX_[303] + vX_[95] * vX_[200] + vX_[105])) /
+ 0.009277;
+ vX_[199] = 0 - vX_[59];
+ vX_[55] = vX_[55] + vX_[55];
+ vX_[35] = vX_[69] * vX_[70] + vX_[68] * vX_[73];
+ vX_[151] = vX_[69] * 0.02075 + vX_[68] * vX_[86];
+ vX_[303] = vX_[68] * vX_[75];
+ vX_[200] = vX_[70] * vX_[75];
+ vX_[105] = vX_[73] * vX_[70] + vX_[70] * vX_[73];
+ vX_[135] = vX_[69] * vX_[68] + vX_[68] * vX_[69];
+ vX_[226] = -0.00751 * vX_[35] + 0.038686875 * (0 - vX_[151]) + -0.000829 * vX_[303] - 1.5e-05 * vX_[200] -
+ 0.000198 * (vX_[105] - vX_[135]);
+ vX_[18] = 0 - vX_[226];
+ vX_[86] = 1.547475 * (vX_[73] * 0.02075 + vX_[70] * vX_[86]) - 0.038686875 * vX_[105];
+ vX_[171] = (-vX_[68]) * x_in[11];
+ vX_[307] = vX_[70] * x_in[11];
+ vX_[151] = 0.038686875 * vX_[35] + -1.547475 * vX_[151] + 0.00345708950900075 * vX_[171] +
+ -6.25528861700981e-05 * vX_[307] + (0.038686875 * vX_[18]) / 0.009277;
+ vX_[98] = vX_[68] * vX_[97] - vX_[70] * vX_[83];
+ vX_[135] = 0.000198 * vX_[200] + 1.5e-05 * (0 - vX_[135]) + 0.00315291990945349 * vX_[171] +
+ 0.000199340411771047 * vX_[307] + (-0.000829 * vX_[18]) / 0.009277 - 0.038686875 * vX_[98] -
+ -0.00146 * vX_[303] - -0.000829 * vX_[35];
+ vX_[105] = 0.00605 * vX_[200] + 1.5e-05 * vX_[35] + 0.000199340411771047 * vX_[171] +
+ 0.0107369757464698 * vX_[307] + (1.5e-05 * vX_[18]) / 0.009277 - 0.000198 * vX_[303] -
+ -0.000829 * (0 - vX_[105]);
+ vX_[98] = 0.038686875 * vX_[303] + 1.547475 * vX_[98] + -0.038686875 * vX_[171];
+ vX_[303] = -0.001243 * vX_[64] + vX_[70] * vX_[135] + vX_[68] * vX_[105] + 0.02075 * vX_[98] - -0.012652 * vX_[50];
+ vX_[200] = 0 - vX_[303];
+ vX_[226] = 0.057838 * vX_[199] + -0.001387 * vX_[50] + -0.012652 * vX_[55] + (0.009277 * vX_[18]) / 0.009277 +
+ vX_[226] + vX_[80] * vX_[86] + vX_[94] * vX_[151] + vX_[119] * vX_[284] + vX_[123] * vX_[50] +
+ vX_[132] * vX_[59] + vX_[136] * vX_[302] + (vX_[108] * vX_[200]) / vX_[117] - -0.008386 * vX_[64];
+ vX_[82] = 0 - vX_[82];
+ vX_[105] = -0.018069 * vX_[50] + 0.057838 * vX_[82] + vX_[68] * vX_[135] + vX_[67] * vX_[105] + -0.184 * vX_[98] +
+ vX_[123] * vX_[284] + vX_[116] * vX_[50] + vX_[72] * vX_[59] + vX_[128] * vX_[302] +
+ (vX_[122] * vX_[200]) / vX_[117] - -0.001387 * vX_[64] - -0.001243 * vX_[55];
+ vX_[199] = 0.057838 * vX_[64] + 2.1032 * vX_[199] + vX_[68] * vX_[151] + vX_[67] * vX_[86] + vX_[132] * vX_[284] +
+ vX_[72] * vX_[50] + vX_[62] * vX_[59] + vX_[71] * vX_[302] + (vX_[130] * vX_[200]) / vX_[117];
+ vX_[82] = 0.057838 * vX_[50] + -2.1032 * vX_[82] + vX_[98] + vX_[136] * vX_[284] + vX_[128] * vX_[50] +
+ vX_[71] * vX_[59] + vX_[60] * vX_[302] + (vX_[134] * vX_[200]) / vX_[117];
+ vX_[98] = vX_[49] * vX_[226] + vX_[63] * vX_[105] + vX_[76] * vX_[199] + vX_[56] * vX_[82];
+ vX_[60] = 0 - vX_[98];
+ vX_[105] = vX_[48] * vX_[226] + vX_[49] * vX_[105] + vX_[77] * vX_[199] + vX_[57] * vX_[82] +
+ (vX_[152] * vX_[60]) / vX_[154];
+ vX_[303] = (vX_[117] * vX_[200]) / vX_[117] + vX_[303] + (-0.00021200017 * vX_[60]) / vX_[154];
+ vX_[226] = vX_[49] * vX_[82] + vX_[78] * vX_[199] + (vX_[169] * vX_[60]) / vX_[154];
+ vX_[71] = vX_[28] * vX_[105] + vX_[26] * vX_[303];
+ vX_[128] = 0 - vX_[71];
+ vX_[303] = vX_[26] * vX_[105] + vX_[27] * vX_[303] + -0.304 * vX_[226] + (vX_[221] * vX_[128]) / vX_[223];
+ vX_[151] = vX_[95] * vX_[151] + vX_[68] * vX_[86] + vX_[162] * vX_[284] + vX_[167] * vX_[50] + vX_[163] * vX_[59] +
+ vX_[166] * vX_[302] + (vX_[160] * vX_[200]) / vX_[117] + (vX_[172] * vX_[60]) / vX_[154];
+ vX_[82] = vX_[48] * vX_[82] + vX_[49] * vX_[199] + (vX_[184] * vX_[60]) / vX_[154];
+ vX_[98] = vX_[51] * vX_[151] + -1 * (vX_[98] + (vX_[154] * vX_[60]) / vX_[154]) + vX_[38] * vX_[82] +
+ (vX_[234] * vX_[128]) / vX_[223];
+ vX_[226] = -1 * vX_[226] + (vX_[242] * vX_[128]) / vX_[223];
+ vX_[82] = vX_[26] * vX_[82] + vX_[27] * vX_[151] + (vX_[254] * vX_[128]) / vX_[223];
+ vX_[151] = 0 - vX_[11] * vX_[303] - vX_[22] * vX_[98] - vX_[34] * vX_[226] - vX_[15] * vX_[82];
+ jac[126] = (0 -
+ vX_[0] * (vX_[9] * vX_[303] + vX_[11] * vX_[98] + vX_[30] * vX_[226] + vX_[12] * vX_[82] +
+ (vX_[42] * vX_[151]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[128]) / vX_[223] + vX_[71] + (-0.022851627 * vX_[151]) / vX_[24])) /
+ vX_[385];
+ vX_[82] = vX_[0] * jac[126];
+ vX_[226] = vX_[4] * jac[126];
+ jac[127] = (vX_[151] - vX_[42] * vX_[82] - -0.022851627 * vX_[226]) / vX_[24];
+ vX_[151] = vX_[11] * jac[127] + vX_[9] * vX_[82];
+ vX_[98] = vX_[22] * jac[127] + vX_[11] * vX_[82];
+ vX_[303] = vX_[15] * jac[127] + vX_[12] * vX_[82];
+ vX_[82] = vX_[34] * jac[127] + vX_[30] * vX_[82];
+ jac[128] = (vX_[128] - vX_[223] * vX_[226] - vX_[221] * vX_[151] - vX_[234] * vX_[98] - vX_[254] * vX_[303] -
+ vX_[242] * vX_[82]) /
+ vX_[223];
+ vX_[128] = -1 * vX_[98];
+ vX_[226] = vX_[226] + jac[128];
+ vX_[71] = vX_[28] * vX_[226] + vX_[26] * vX_[151];
+ vX_[226] = vX_[26] * vX_[226] + vX_[27] * vX_[151];
+ vX_[82] = -0.304 * vX_[151] + -1 * vX_[82];
+ vX_[151] = vX_[26] * vX_[303] + vX_[38] * vX_[98];
+ vX_[303] = vX_[27] * vX_[303] + vX_[51] * vX_[98];
+ jac[129] = (vX_[60] - vX_[154] * vX_[128] - vX_[152] * vX_[71] - -0.00021200017 * vX_[226] - vX_[169] * vX_[82] -
+ vX_[184] * vX_[151] - vX_[172] * vX_[303]) /
+ vX_[154];
+ vX_[128] = vX_[128] + jac[129];
+ vX_[284] = vX_[49] * vX_[128] + vX_[48] * vX_[71] + vX_[284];
+ vX_[50] = vX_[63] * vX_[128] + vX_[49] * vX_[71] + vX_[50];
+ vX_[59] = vX_[76] * vX_[128] + vX_[77] * vX_[71] + vX_[49] * vX_[151] + vX_[78] * vX_[82] + vX_[59];
+ jac[130] =
+ (vX_[200] - vX_[117] * vX_[226] - vX_[108] * vX_[284] - vX_[122] * vX_[50] - vX_[160] * vX_[303] -
+ vX_[134] * (vX_[56] * vX_[128] + vX_[57] * vX_[71] + vX_[48] * vX_[151] + vX_[49] * vX_[82] + vX_[302]) -
+ vX_[130] * vX_[59]) /
+ vX_[117];
+ vX_[226] = vX_[226] + jac[130];
+ jac[131] = (vX_[18] - 0.009277 * vX_[284] - -0.000829 * (vX_[70] * vX_[226] + vX_[68] * vX_[50] + vX_[171]) -
+ 1.5e-05 * (vX_[68] * vX_[226] + vX_[67] * vX_[50] + vX_[307]) -
+ 0.038686875 * (vX_[68] * vX_[59] + vX_[94] * vX_[284] + vX_[95] * vX_[303])) /
+ 0.009277;
+ vX_[226] = 0.038686875 * vX_[83] + -0.000829 * vX_[69] - 1.5e-05 * vX_[73];
+ vX_[59] = 0 - vX_[226];
+ vX_[75] = vX_[75] + vX_[75];
+ vX_[97] = 1.547475 * (0 - vX_[97]) + 1.547475 * vX_[97] - 0.038686875 * vX_[75];
+ vX_[83] = -1.547475 * (0 - vX_[83]) + 0.00345708950900075 * vX_[294] + -6.25528861700981e-05 * vX_[73] +
+ 1.38614328745655 * vX_[297] + (0.038686875 * vX_[59]) / 0.009277;
+ vX_[50] = 0.000198 * vX_[73] + 1.5e-05 * vX_[75] + 0.00315291990945349 * vX_[294] + 0.000199340411771047 * vX_[73] +
+ 0.00345708950900075 * vX_[297] + (-0.000829 * vX_[59]) / 0.009277 - -0.00146 * vX_[69];
+ vX_[75] = 0.00605 * vX_[73] + 0.000199340411771047 * vX_[294] + 0.0107369757464698 * vX_[73] +
+ -6.25528861700981e-05 * vX_[297] + (1.5e-05 * vX_[59]) / 0.009277 - 0.000198 * vX_[69] -
+ -0.000829 * vX_[75];
+ vX_[69] = 0.038686875 * vX_[69] + -0.038686875 * vX_[294];
+ vX_[284] = vX_[70] * vX_[50] + vX_[68] * vX_[75] + 0.02075 * vX_[69];
+ vX_[303] = 0 - vX_[284];
+ vX_[226] = (0.009277 * vX_[59]) / 0.009277 + vX_[226] + vX_[80] * vX_[97] + vX_[94] * vX_[83] +
+ (vX_[108] * vX_[303]) / vX_[117];
+ vX_[75] = vX_[68] * vX_[50] + vX_[67] * vX_[75] + -0.184 * vX_[69] + (vX_[122] * vX_[303]) / vX_[117];
+ vX_[50] = vX_[68] * vX_[83] + vX_[67] * vX_[97] + (vX_[130] * vX_[303]) / vX_[117];
+ vX_[69] = vX_[69] + (vX_[134] * vX_[303]) / vX_[117];
+ vX_[80] = vX_[49] * vX_[226] + vX_[63] * vX_[75] + vX_[76] * vX_[50] + vX_[56] * vX_[69];
+ vX_[307] = 0 - vX_[80];
+ vX_[75] = vX_[48] * vX_[226] + vX_[49] * vX_[75] + vX_[77] * vX_[50] + vX_[57] * vX_[69] +
+ (vX_[152] * vX_[307]) / vX_[154];
+ vX_[284] = (vX_[117] * vX_[303]) / vX_[117] + vX_[284] + (-0.00021200017 * vX_[307]) / vX_[154];
+ vX_[226] = vX_[49] * vX_[69] + vX_[78] * vX_[50] + (vX_[169] * vX_[307]) / vX_[154];
+ vX_[171] = vX_[28] * vX_[75] + vX_[26] * vX_[284];
+ vX_[18] = 0 - vX_[171];
+ vX_[284] = vX_[26] * vX_[75] + vX_[27] * vX_[284] + -0.304 * vX_[226] + (vX_[221] * vX_[18]) / vX_[223];
+ vX_[83] =
+ vX_[95] * vX_[83] + vX_[68] * vX_[97] + (vX_[160] * vX_[303]) / vX_[117] + (vX_[172] * vX_[307]) / vX_[154];
+ vX_[69] = vX_[48] * vX_[69] + vX_[49] * vX_[50] + (vX_[184] * vX_[307]) / vX_[154];
+ vX_[80] = vX_[51] * vX_[83] + -1 * (vX_[80] + (vX_[154] * vX_[307]) / vX_[154]) + vX_[38] * vX_[69] +
+ (vX_[234] * vX_[18]) / vX_[223];
+ vX_[226] = -1 * vX_[226] + (vX_[242] * vX_[18]) / vX_[223];
+ vX_[69] = vX_[26] * vX_[69] + vX_[27] * vX_[83] + (vX_[254] * vX_[18]) / vX_[223];
+ vX_[83] = 0 - vX_[11] * vX_[284] - vX_[22] * vX_[80] - vX_[34] * vX_[226] - vX_[15] * vX_[69];
+ jac[138] = (0 -
+ vX_[0] * (vX_[9] * vX_[284] + vX_[11] * vX_[80] + vX_[30] * vX_[226] + vX_[12] * vX_[69] +
+ (vX_[42] * vX_[83]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[18]) / vX_[223] + vX_[171] + (-0.022851627 * vX_[83]) / vX_[24])) /
+ vX_[385];
+ vX_[0] = vX_[0] * jac[138];
+ vX_[4] = vX_[4] * jac[138];
+ jac[139] = (vX_[83] - vX_[42] * vX_[0] - -0.022851627 * vX_[4]) / vX_[24];
+ vX_[9] = vX_[11] * jac[139] + vX_[9] * vX_[0];
+ vX_[22] = vX_[22] * jac[139] + vX_[11] * vX_[0];
+ vX_[15] = vX_[15] * jac[139] + vX_[12] * vX_[0];
+ vX_[0] = vX_[34] * jac[139] + vX_[30] * vX_[0];
+ jac[140] = (vX_[18] - vX_[223] * vX_[4] - vX_[221] * vX_[9] - vX_[234] * vX_[22] - vX_[254] * vX_[15] -
+ vX_[242] * vX_[0]) /
+ vX_[223];
+ vX_[18] = -1 * vX_[22];
+ vX_[4] = vX_[4] + jac[140];
+ vX_[28] = vX_[28] * vX_[4] + vX_[26] * vX_[9];
+ vX_[4] = vX_[26] * vX_[4] + vX_[27] * vX_[9];
+ vX_[0] = -0.304 * vX_[9] + -1 * vX_[0];
+ vX_[38] = vX_[26] * vX_[15] + vX_[38] * vX_[22];
+ vX_[15] = vX_[27] * vX_[15] + vX_[51] * vX_[22];
+ jac[141] = (vX_[307] - vX_[154] * vX_[18] - vX_[152] * vX_[28] - -0.00021200017 * vX_[4] - vX_[169] * vX_[0] -
+ vX_[184] * vX_[38] - vX_[172] * vX_[15]) /
+ vX_[154];
+ vX_[18] = vX_[18] + jac[141];
+ vX_[307] = vX_[49] * vX_[18] + vX_[48] * vX_[28];
+ vX_[63] = vX_[63] * vX_[18] + vX_[49] * vX_[28];
+ vX_[78] = vX_[76] * vX_[18] + vX_[77] * vX_[28] + vX_[49] * vX_[38] + vX_[78] * vX_[0];
+ jac[142] = (vX_[303] - vX_[117] * vX_[4] - vX_[108] * vX_[307] - vX_[122] * vX_[63] - vX_[160] * vX_[15] -
+ vX_[134] * (vX_[56] * vX_[18] + vX_[57] * vX_[28] + vX_[48] * vX_[38] + vX_[49] * vX_[0]) -
+ vX_[130] * vX_[78]) /
+ vX_[117];
+ vX_[4] = vX_[4] + jac[142];
+ jac[143] = (vX_[59] - 0.009277 * vX_[307] - -0.000829 * (vX_[70] * vX_[4] + vX_[68] * vX_[63] + vX_[294]) -
+ 1.5e-05 * (vX_[68] * vX_[4] + vX_[67] * vX_[63] + vX_[73]) -
+ 0.038686875 * (vX_[68] * vX_[78] + vX_[94] * vX_[307] + vX_[95] * vX_[15] + vX_[297])) /
+ 0.009277;
+ // dependent variables without operations
+ jac[72] = 1;
+ jac[85] = 1;
+ jac[98] = 1;
+ jac[111] = 1;
+ jac[124] = 1;
+ jac[137] = 1;
+
+
+ return dFdx_;
+}
+
+template <typename SCALAR>
+const typename HyALinearizedForward<SCALAR>::state_control_matrix_t& HyALinearizedForward<SCALAR>::getDerivativeControl(
+ const ct::core::StateVector<12, SCALAR>& x,
+ const ct::core::ControlVector<6, SCALAR>& u,
+ const SCALAR t)
+{
+ SCALAR* jac = dFdu_.data();
+ Eigen::Matrix<SCALAR, 12 + 6, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = sin(x_in[1]);
+ vU_[1] = cos(x_in[2]);
+ vU_[2] = 0 - vU_[1];
+ vU_[3] = sin(x_in[3]);
+ vU_[4] = -0.304 * vU_[3];
+ vU_[5] = -1 * vU_[4];
+ vU_[6] = cos(x_in[4]);
+ vU_[7] = 0 - vU_[6];
+ vU_[8] = cos(x_in[5]);
+ vU_[9] = sin(x_in[5]);
+ vU_[10] = 0 - vU_[9];
+ vU_[11] = -6.25528861700981e-05 * vU_[8] + 0.00345708950900075 * vU_[10];
+ vU_[12] = vU_[11] * vU_[8];
+ vU_[13] = -0.184 * vU_[8] + 0.02075 * vU_[10];
+ vU_[14] = 1.547475 * vU_[13];
+ vU_[15] = -0.038686875 + vU_[14];
+ vU_[16] = 0 - vU_[15];
+ vU_[17] = 0.184 * vU_[9] - 0.02075 * vU_[8];
+ vU_[18] = 0 - 1.547475 * vU_[17];
+ vU_[19] = vU_[9] * vU_[16] + vU_[8] * vU_[18];
+ vU_[20] = 1.547475 * vU_[17];
+ vU_[21] = 0 - 1.38614328745655 * vU_[13];
+ vU_[22] = vU_[20] * vU_[17] - vU_[21] * vU_[13];
+ vU_[23] = 0.0107369757464698 - vU_[18] * vU_[17] - vU_[22];
+ vU_[17] = 0.000199340411771047 + vU_[18] * vU_[13] - -0.038686875 * vU_[17];
+ vU_[24] = vU_[8] * vU_[23] + vU_[10] * vU_[17];
+ vU_[14] = 0.00315291990945349 + -0.07737375 * vU_[13] + vU_[14] * vU_[13] - vU_[22];
+ vU_[17] = vU_[8] * vU_[17] + vU_[10] * vU_[14];
+ vU_[25] = vU_[24] * vU_[8] + vU_[17] * vU_[10];
+ vU_[26] = 0.011046 + vU_[22] + vU_[25];
+ vU_[27] = vU_[19] / vU_[26];
+ vU_[28] = 0 - vU_[12] * vU_[27];
+ vU_[29] = sin(x_in[4]);
+ vU_[30] = 3.650675 - vU_[19] * vU_[27];
+ vU_[31] = -0.161331712543454 * vU_[10];
+ vU_[32] = vU_[31] * vU_[10];
+ vU_[11] = vU_[11] * vU_[10];
+ vU_[33] = vU_[11] / vU_[26];
+ vU_[34] = 3.650675 + vU_[32] - vU_[11] * vU_[33];
+ vU_[35] = vU_[30] - vU_[34];
+ vU_[36] = vU_[7] * vU_[28] + vU_[29] * vU_[35];
+ vU_[37] = vU_[12] / vU_[26];
+ vU_[32] = 3.48934328745655 - vU_[32] - vU_[12] * vU_[37];
+ vU_[38] = vU_[32] - vU_[34];
+ vU_[39] = vU_[29] * vU_[28];
+ vU_[40] = vU_[7] * vU_[38] + vU_[39];
+ vU_[41] = -0.112 * vU_[29];
+ vU_[42] = 0.112 * vU_[6];
+ vU_[43] = vU_[29] * vU_[41] + vU_[7] * vU_[42];
+ vU_[30] = vU_[43] * vU_[30];
+ vU_[16] = vU_[8] * vU_[16] + vU_[10] * vU_[18];
+ vU_[17] = -0.012652 + vU_[17] * vU_[8] + vU_[24] * vU_[9];
+ vU_[24] = -0.057838 - vU_[16] - vU_[17] * vU_[27];
+ vU_[44] = vU_[30] + vU_[24];
+ vU_[45] = 0 - -6.25528861700981e-05 * vU_[13];
+ vU_[13] = 0 - 0.00345708950900075 * vU_[13];
+ vU_[46] = 0 - vU_[13];
+ vU_[47] = -0.001243 + vU_[8] * vU_[45] + vU_[9] * vU_[46];
+ vU_[27] = 0 - vU_[47] * vU_[27];
+ vU_[48] = vU_[43] * vU_[28];
+ vU_[49] = vU_[27] - vU_[48];
+ vU_[50] = vU_[7] * vU_[44] + vU_[29] * vU_[49];
+ vU_[51] = -6.25528861700981e-05 * vU_[9] + 0.00345708950900075 * vU_[8];
+ vU_[52] = vU_[51] * vU_[8] - vU_[17] * vU_[37];
+ vU_[53] = vU_[48] + vU_[52];
+ vU_[32] = 0 - vU_[43] * vU_[32];
+ vU_[21] = vU_[21] + vU_[15];
+ vU_[20] = vU_[20] + vU_[18];
+ vU_[16] = 0.057838 + vU_[21] * vU_[8] + vU_[20] * vU_[9] + vU_[16] - vU_[47] * vU_[37];
+ vU_[37] = vU_[32] + vU_[16];
+ vU_[18] = vU_[7] * vU_[53] + vU_[29] * vU_[37];
+ vU_[15] = 0.160298259823722 + vU_[50] * vU_[6] + vU_[18] * vU_[29];
+ vU_[18] = vU_[18] * vU_[7] + vU_[50] * vU_[29];
+ vU_[24] = 2. * vU_[24] * vU_[43] + 0.019432 + vU_[14] + vU_[23] + vU_[22] - vU_[25] - vU_[17] * vU_[17] / vU_[26] +
+ vU_[30] * vU_[43];
+ vU_[30] = vU_[47] / vU_[26];
+ vU_[52] = vU_[27] * vU_[43] + -0.001387 + 2. * vU_[13] * vU_[8] + 2. * vU_[45] * vU_[9] + vU_[10] * vU_[45] +
+ vU_[8] * vU_[46] - vU_[17] * vU_[30] - vU_[52] * vU_[43] - vU_[48] * vU_[43];
+ vU_[48] = vU_[29] * vU_[52];
+ vU_[27] = vU_[7] * vU_[24] + vU_[48];
+ vU_[30] = 0.029115 + vU_[22] - vU_[47] * vU_[30] - 2. * vU_[16] * vU_[43] - vU_[32] * vU_[43];
+ vU_[16] = vU_[7] * vU_[52] + vU_[29] * vU_[30];
+ vU_[32] = vU_[27] * vU_[7] + vU_[16] * vU_[29];
+ vU_[22] = 0.09570849 + vU_[32];
+ vU_[46] = vU_[18] / vU_[22];
+ vU_[13] = vU_[36] * vU_[6] + vU_[40] * vU_[29] - vU_[15] * vU_[46];
+ vU_[45] = 0 - vU_[5] * vU_[13];
+ vU_[31] = vU_[31] * vU_[8] - vU_[12] * vU_[33];
+ vU_[20] = vU_[21] * vU_[10] + vU_[20] * vU_[8] - vU_[19] - vU_[47] * vU_[33] - vU_[43] * vU_[31];
+ vU_[21] = 0 - vU_[19] * vU_[33];
+ vU_[51] = vU_[43] * vU_[21] + vU_[51] * vU_[10] - vU_[17] * vU_[33];
+ vU_[43] = vU_[29] * vU_[51];
+ vU_[33] = 0 - vU_[20];
+ vU_[25] = vU_[7] * vU_[33] + vU_[43];
+ vU_[14] = vU_[15] / vU_[22];
+ vU_[43] = -1.52322944854339e-09 + vU_[20] * vU_[6] + vU_[43] - vU_[25] - -0.00021200017 * vU_[14];
+ vU_[23] = vU_[45] + vU_[43];
+ vU_[50] = cos(x_in[3]);
+ vU_[49] = vU_[29] * vU_[44] + vU_[6] * vU_[49];
+ vU_[37] = vU_[29] * vU_[53] + vU_[6] * vU_[37];
+ vU_[16] = -0.0022920002 + vU_[16] * vU_[6] + vU_[27] * vU_[29];
+ vU_[27] = vU_[49] * vU_[6] + vU_[37] * vU_[29] - vU_[16] * vU_[14];
+ vU_[53] = -0.304 * vU_[50];
+ vU_[44] = vU_[53] * vU_[13];
+ vU_[21] = 0 - vU_[21];
+ vU_[33] = vU_[29] * vU_[33] + vU_[6] * vU_[51];
+ vU_[54] = 0.008711861 - vU_[33];
+ vU_[55] = 0 - vU_[6] * vU_[31] - vU_[29] * vU_[21] - vU_[54] * vU_[46];
+ vU_[56] = vU_[5] * vU_[55];
+ vU_[57] = vU_[56] - vU_[44];
+ vU_[58] = vU_[27] + vU_[44] - vU_[57];
+ vU_[59] = vU_[3] * vU_[23] + vU_[50] * vU_[58];
+ vU_[60] = vU_[54] / vU_[22];
+ vU_[61] = 0 - -0.00021200017 * vU_[60];
+ vU_[56] = 0 - vU_[56];
+ vU_[62] = vU_[61] + vU_[56] - vU_[57];
+ vU_[63] = vU_[53] * vU_[55];
+ vU_[25] = 1.52322944854339e-09 + vU_[25] - vU_[16] * vU_[60];
+ vU_[64] = vU_[63] + vU_[25];
+ vU_[65] = vU_[3] * vU_[62] + vU_[50] * vU_[64];
+ vU_[66] = vU_[16] / vU_[22];
+ vU_[33] = -0.008711861 + vU_[20] * vU_[29] + vU_[51] * vU_[7] + vU_[33] - -0.00021200017 * vU_[46];
+ vU_[40] = vU_[40] * vU_[7] + vU_[36] * vU_[29];
+ vU_[36] = 1.7423722 + vU_[34] + vU_[40] - vU_[18] * vU_[46];
+ vU_[51] = 0 - vU_[5] * vU_[36];
+ vU_[37] = -0.160298259823722 + vU_[49] * vU_[29] + vU_[37] * vU_[7] - vU_[16] * vU_[46];
+ vU_[49] = 0.0036857284 - -0.00021200017 * vU_[66] + vU_[33] * vU_[53] + vU_[51] * vU_[53] - vU_[37] * vU_[5];
+ vU_[46] = vU_[50] * vU_[49];
+ vU_[20] = 0 - vU_[3];
+ vU_[48] = (vU_[29] * vU_[24] + vU_[6] * vU_[52]) * vU_[29] + (vU_[48] + vU_[6] * vU_[30]) * vU_[6];
+ vU_[52] = vU_[53] * vU_[36];
+ vU_[39] = (vU_[29] * vU_[38] + vU_[6] * vU_[28]) * vU_[29] + (vU_[39] + vU_[6] * vU_[35]) * vU_[6];
+ vU_[40] = 1.7423722 + vU_[35] + vU_[38] + vU_[34] - vU_[39] - vU_[40] - vU_[54] * vU_[60];
+ vU_[21] = vU_[29] * vU_[31] + vU_[7] * vU_[21] - vU_[54] * vU_[14];
+ vU_[31] = vU_[5] * vU_[40] - vU_[53] * vU_[21];
+ vU_[39] = 1.7423722 + vU_[34] + vU_[39] - vU_[15] * vU_[14];
+ vU_[14] = vU_[5] * vU_[21] - vU_[53] * vU_[39];
+ vU_[34] = vU_[31] * vU_[5] - vU_[14] * vU_[53];
+ vU_[66] = 2. * vU_[37] * vU_[53] + 0.01828449 + vU_[48] - vU_[16] * vU_[66] + vU_[52] * vU_[53] - vU_[34];
+ vU_[60] = vU_[46] + vU_[20] * vU_[66];
+ vU_[48] = 0.081661 + vU_[30] + vU_[24] - vU_[48] - vU_[32] - -0.00021200017 * -0.00021200017 / vU_[22] -
+ 2. * vU_[33] * vU_[5] - vU_[51] * vU_[5] - vU_[34];
+ vU_[32] = vU_[50] * vU_[48] + vU_[20] * vU_[49];
+ vU_[30] = -0.0037997814 + vU_[60] * vU_[50] + vU_[32] * vU_[3];
+ vU_[58] = vU_[50] * vU_[23] + vU_[20] * vU_[58];
+ vU_[64] = vU_[50] * vU_[62] + vU_[20] * vU_[64];
+ vU_[62] = -0.0055615274403 + vU_[58] * vU_[50] + vU_[64] * vU_[3];
+ vU_[32] = vU_[32] * vU_[50] + vU_[60] * vU_[20];
+ vU_[60] = 0.010329999 + vU_[34] + vU_[32];
+ vU_[23] = vU_[62] / vU_[60];
+ vU_[24] = vU_[59] * vU_[50] + vU_[65] * vU_[3] + vU_[57] - vU_[30] * vU_[23];
+ vU_[38] = sin(x_in[2]);
+ vU_[35] = -0.112 * vU_[38];
+ vU_[28] = 0.112 * vU_[1];
+ vU_[67] = vU_[38] * vU_[35] + vU_[2] * vU_[28];
+ vU_[56] = vU_[61] * vU_[5] + vU_[56] * vU_[5] - vU_[43] * vU_[53] - vU_[45] * vU_[53];
+ vU_[25] = vU_[27] * vU_[53] + vU_[44] * vU_[53] - vU_[25] * vU_[5] - vU_[63] * vU_[5];
+ vU_[63] = -0.011715295 - vU_[50] * vU_[56] - vU_[3] * vU_[25];
+ vU_[44] = vU_[30] / vU_[60];
+ vU_[52] = vU_[52] + vU_[37];
+ vU_[37] = 0 - vU_[52];
+ vU_[51] = vU_[51] + vU_[33];
+ vU_[33] = vU_[3] * vU_[37] + vU_[50] * vU_[51];
+ vU_[53] = -0.01438086 - vU_[33];
+ vU_[27] = vU_[53] / vU_[60];
+ vU_[5] = vU_[57] - vU_[63] * vU_[27];
+ vU_[13] = 0 - vU_[13];
+ vU_[61] = vU_[20] * vU_[55] + vU_[50] * vU_[13] - vU_[53] * vU_[23];
+ vU_[43] = vU_[67] * vU_[61];
+ vU_[25] = vU_[24] * vU_[67] + 5.399998e-05 + vU_[20] * vU_[56] + vU_[50] * vU_[25] - vU_[63] * vU_[44] -
+ vU_[5] * vU_[67] - vU_[43] * vU_[67];
+ vU_[46] = (vU_[3] * vU_[48] + vU_[46]) * vU_[3] + (vU_[3] * vU_[49] + vU_[50] * vU_[66]) * vU_[50];
+ vU_[37] = vU_[50] * vU_[37] + vU_[20] * vU_[51];
+ vU_[49] = 0.647967112 + vU_[37] - vU_[30] * vU_[27];
+ vU_[39] = vU_[39] - vU_[36];
+ vU_[40] = vU_[40] - vU_[36];
+ vU_[56] = vU_[50] * vU_[21];
+ vU_[45] = (vU_[3] * vU_[40] + vU_[56]) * vU_[3] + (vU_[3] * vU_[21] + vU_[50] * vU_[39]) * vU_[50];
+ vU_[21] = vU_[50] * vU_[40] + vU_[20] * vU_[21];
+ vU_[56] = vU_[56] + vU_[20] * vU_[39];
+ vU_[68] = vU_[21] * vU_[50] + vU_[56] * vU_[20];
+ vU_[40] = 2.327 + vU_[39] + vU_[40] + vU_[36] - vU_[45] - vU_[68] - vU_[53] * vU_[27];
+ vU_[39] = 0 - vU_[67] * vU_[40];
+ vU_[44] = 0.20986895 + vU_[34] + vU_[46] - vU_[30] * vU_[44] - 2. * vU_[49] * vU_[67] - vU_[39] * vU_[67];
+ vU_[27] = vU_[2] * vU_[25] + vU_[38] * vU_[44];
+ vU_[52] = -1 * (vU_[14] + vU_[52]);
+ vU_[51] = -1 * (vU_[31] + vU_[51]);
+ vU_[37] = -0.647967112 + vU_[52] * vU_[50] + vU_[51] * vU_[3] - vU_[37] - vU_[63] * vU_[23];
+ vU_[45] = 2.327 + vU_[36] + vU_[45] - vU_[62] * vU_[23];
+ vU_[23] = vU_[67] * vU_[45];
+ vU_[46] = 2. * vU_[37] * vU_[67] + 0.20236395 + vU_[66] + vU_[48] + vU_[34] - vU_[46] - vU_[32] -
+ vU_[63] * vU_[63] / vU_[60] + vU_[23] * vU_[67];
+ vU_[32] = vU_[38] * vU_[25];
+ vU_[48] = vU_[2] * vU_[46] + vU_[32];
+ vU_[66] = -0.002752 + vU_[27] * vU_[1] + vU_[48] * vU_[38];
+ vU_[48] = vU_[48] * vU_[2] + vU_[27] * vU_[38];
+ vU_[27] = 0.051393528 + vU_[48];
+ vU_[34] = vU_[66] / vU_[27];
+ vU_[64] = vU_[58] * vU_[20] + vU_[64] * vU_[50] + vU_[57];
+ vU_[58] = vU_[64] / vU_[60];
+ vU_[13] = 0 - vU_[50] * vU_[55] - vU_[3] * vU_[13] - vU_[53] * vU_[58];
+ vU_[65] = 0.0055615274403 + vU_[59] * vU_[20] + vU_[65] * vU_[50] - vU_[67] * vU_[13] - vU_[30] * vU_[58];
+ vU_[56] = vU_[56] * vU_[50] + vU_[21] * vU_[3] - vU_[62] * vU_[58];
+ vU_[51] = 0.01438086 + vU_[52] * vU_[20] + vU_[51] * vU_[50] + vU_[33] + vU_[67] * vU_[56] - vU_[63] * vU_[58];
+ vU_[52] = vU_[38] * (0 - vU_[65]) + vU_[1] * vU_[51];
+ vU_[5] = vU_[43] + vU_[5];
+ vU_[39] = vU_[39] + vU_[49];
+ vU_[49] = vU_[2] * vU_[5] + vU_[38] * vU_[39];
+ vU_[23] = vU_[23] + vU_[37];
+ vU_[43] = vU_[24] - vU_[43];
+ vU_[24] = vU_[2] * vU_[23] + vU_[38] * vU_[43];
+ vU_[37] = vU_[49] * vU_[2] + vU_[24] * vU_[38];
+ vU_[33] = vU_[37] / vU_[27];
+ vU_[51] = -0.0606159433962 + vU_[65] * vU_[38] + vU_[51] * vU_[2] + vU_[52] - -0.022851627 * vU_[33];
+ vU_[65] = 0.178 * (0 - vU_[0]);
+ vU_[67] = cos(x_in[1]);
+ vU_[21] = -1 * 0.178 * vU_[67];
+ vU_[58] = 2.327 + vU_[36] + vU_[68] - vU_[64] * vU_[58];
+ vU_[40] = vU_[40] - vU_[58];
+ vU_[64] = vU_[38] * vU_[61];
+ vU_[45] = vU_[45] - vU_[58];
+ vU_[68] = (vU_[2] * vU_[40] + vU_[64]) * vU_[2] + (vU_[2] * vU_[61] + vU_[38] * vU_[45]) * vU_[38];
+ vU_[37] = 2.5924191 + vU_[58] + vU_[68] - vU_[37] * vU_[33];
+ vU_[36] = 0 - vU_[21] * vU_[37];
+ vU_[33] = -0.293374233908935 + (vU_[38] * vU_[23] + vU_[1] * vU_[43]) * vU_[38] +
+ (vU_[38] * vU_[5] + vU_[1] * vU_[39]) * vU_[2] - vU_[66] * vU_[33];
+ vU_[43] = 0.0055279857 - -0.022851627 * vU_[34] + vU_[51] * vU_[65] + vU_[36] * vU_[65] - vU_[33] * vU_[21];
+ vU_[32] = (vU_[38] * vU_[46] + vU_[1] * vU_[25]) * vU_[38] + (vU_[32] + vU_[1] * vU_[44]) * vU_[1];
+ vU_[64] = (vU_[38] * vU_[40] + vU_[1] * vU_[61]) * vU_[38] + (vU_[64] + vU_[1] * vU_[45]) * vU_[1];
+ vU_[52] = 0.0606159433962 - vU_[52];
+ vU_[24] = 0.293374233908935 + vU_[24] * vU_[1] + vU_[49] * vU_[38];
+ vU_[49] = vU_[24] / vU_[27];
+ vU_[56] = vU_[38] * vU_[13] + vU_[2] * (0 - vU_[56]) - vU_[52] * vU_[49];
+ vU_[56] = (vU_[21] * (2.5924191 + vU_[45] + vU_[40] + vU_[58] - vU_[64] - vU_[68] - vU_[52] * vU_[52] / vU_[27]) -
+ vU_[65] * vU_[56]) *
+ vU_[21] -
+ (vU_[21] * vU_[56] - vU_[65] * (2.5924191 + vU_[58] + vU_[64] - vU_[24] * vU_[49])) * vU_[65];
+ vU_[56] = 0.007629 +
+ (vU_[0] * vU_[43] + vU_[67] * (2. * vU_[33] * vU_[65] + 0.08585553 + vU_[32] - vU_[66] * vU_[34] +
+ vU_[65] * vU_[37] * vU_[65] - vU_[56])) *
+ vU_[67] +
+ (vU_[0] * (0.039002996 + vU_[44] + vU_[46] - vU_[32] - vU_[48] - -0.022851627 * -0.022851627 / vU_[27] -
+ 2. * vU_[51] * vU_[21] - vU_[36] * vU_[21] - vU_[56]) +
+ vU_[67] * vU_[43]) *
+ vU_[0] +
+ vU_[56];
+ jac[6] = 1 / vU_[56];
+ jac[18] = (0 - vU_[67] * vU_[66] / vU_[27] - vU_[0] * -0.022851627 / vU_[27]) / vU_[56];
+ vU_[32] = vU_[67] * jac[6];
+ vU_[43] = vU_[0] * jac[6];
+ jac[7] = (0 - vU_[66] * vU_[32] - -0.022851627 * vU_[43]) / vU_[27];
+ vU_[33] = vU_[38] * jac[7] + vU_[1] * vU_[32];
+ vU_[36] = vU_[2] * jac[7] + vU_[38] * vU_[32];
+ vU_[37] = vU_[28] * jac[7] + vU_[35] * vU_[32];
+ vU_[21] = 0.112 * vU_[38];
+ vU_[65] = 0.112 * vU_[1];
+ vU_[32] = vU_[21] * jac[7] + vU_[65] * vU_[32];
+ jac[8] = (0 - vU_[60] * vU_[43] - vU_[30] * vU_[33] - vU_[63] * vU_[36] - vU_[62] * vU_[37] - vU_[53] * vU_[32]) /
+ vU_[60];
+ vU_[51] = -1 * vU_[36];
+ vU_[43] = vU_[43] + jac[8];
+ vU_[34] = vU_[20] * vU_[43] + vU_[50] * vU_[33];
+ vU_[43] = vU_[50] * vU_[43] + vU_[3] * vU_[33];
+ vU_[32] = -0.304 * vU_[33] + -1 * vU_[32];
+ vU_[33] = -0.304 * vU_[50];
+ vU_[48] = vU_[50] * vU_[37] + vU_[33] * vU_[36];
+ vU_[37] = vU_[3] * vU_[37] + vU_[4] * vU_[36];
+ jac[9] = (0 - vU_[22] * vU_[51] - vU_[16] * vU_[34] - -0.00021200017 * vU_[43] - vU_[18] * vU_[32] -
+ vU_[15] * vU_[48] - vU_[54] * vU_[37]) /
+ vU_[22];
+ vU_[51] = vU_[51] + jac[9];
+ vU_[36] = vU_[29] * vU_[51] + vU_[6] * vU_[34];
+ vU_[46] = vU_[7] * vU_[51] + vU_[29] * vU_[34];
+ vU_[44] = 0.112 * vU_[29];
+ vU_[49] = 0.112 * vU_[6];
+ vU_[24] = 0 - vU_[6];
+ vU_[52] = vU_[44] * vU_[51] + vU_[49] * vU_[34] + vU_[29] * vU_[48] + vU_[24] * vU_[32];
+ jac[10] = (0 - vU_[26] * vU_[43] - vU_[47] * vU_[36] - vU_[17] * vU_[46] - vU_[11] * vU_[37] -
+ vU_[19] * (vU_[42] * vU_[51] + vU_[41] * vU_[34] + vU_[6] * vU_[48] + vU_[29] * vU_[32]) -
+ vU_[12] * vU_[52]) /
+ vU_[26];
+ vU_[43] = vU_[43] + jac[10];
+ vU_[51] = 0.02075 * vU_[9] + 0.184 * vU_[8];
+ vU_[48] = 0 - vU_[9];
+ jac[11] = (0 - 0.009277 * vU_[36] - -0.000829 * (vU_[10] * vU_[43] + vU_[8] * vU_[46]) -
+ 1.5e-05 * (vU_[8] * vU_[43] + vU_[9] * vU_[46]) -
+ 0.038686875 * (vU_[8] * vU_[52] + vU_[51] * vU_[36] + vU_[48] * vU_[37])) /
+ 0.009277;
+ vU_[43] = vU_[67] * jac[18];
+ vU_[52] = vU_[0] * jac[18];
+ jac[19] = (1 - vU_[66] * vU_[43] - -0.022851627 * vU_[52]) / vU_[27];
+ vU_[46] = vU_[38] * jac[19] + vU_[1] * vU_[43];
+ vU_[36] = vU_[2] * jac[19] + vU_[38] * vU_[43];
+ vU_[37] = vU_[28] * jac[19] + vU_[35] * vU_[43];
+ vU_[43] = vU_[21] * jac[19] + vU_[65] * vU_[43];
+ jac[20] = (0 - vU_[60] * vU_[52] - vU_[30] * vU_[46] - vU_[63] * vU_[36] - vU_[62] * vU_[37] - vU_[53] * vU_[43]) /
+ vU_[60];
+ vU_[32] = -1 * vU_[36];
+ vU_[52] = vU_[52] + jac[20];
+ vU_[34] = vU_[20] * vU_[52] + vU_[50] * vU_[46];
+ vU_[52] = vU_[50] * vU_[52] + vU_[3] * vU_[46];
+ vU_[43] = -0.304 * vU_[46] + -1 * vU_[43];
+ vU_[46] = vU_[50] * vU_[37] + vU_[33] * vU_[36];
+ vU_[37] = vU_[3] * vU_[37] + vU_[4] * vU_[36];
+ jac[21] = (0 - vU_[22] * vU_[32] - vU_[16] * vU_[34] - -0.00021200017 * vU_[52] - vU_[18] * vU_[43] -
+ vU_[15] * vU_[46] - vU_[54] * vU_[37]) /
+ vU_[22];
+ vU_[32] = vU_[32] + jac[21];
+ vU_[36] = vU_[29] * vU_[32] + vU_[6] * vU_[34];
+ vU_[64] = vU_[7] * vU_[32] + vU_[29] * vU_[34];
+ vU_[68] = vU_[44] * vU_[32] + vU_[49] * vU_[34] + vU_[29] * vU_[46] + vU_[24] * vU_[43];
+ jac[22] = (0 - vU_[26] * vU_[52] - vU_[47] * vU_[36] - vU_[17] * vU_[64] - vU_[11] * vU_[37] -
+ vU_[19] * (vU_[42] * vU_[32] + vU_[41] * vU_[34] + vU_[6] * vU_[46] + vU_[29] * vU_[43]) -
+ vU_[12] * vU_[68]) /
+ vU_[26];
+ vU_[52] = vU_[52] + jac[22];
+ jac[23] = (0 - 0.009277 * vU_[36] - -0.000829 * (vU_[10] * vU_[52] + vU_[8] * vU_[64]) -
+ 1.5e-05 * (vU_[8] * vU_[52] + vU_[9] * vU_[64]) -
+ 0.038686875 * (vU_[8] * vU_[68] + vU_[51] * vU_[36] + vU_[48] * vU_[37])) /
+ 0.009277;
+ vU_[52] = vU_[30] / vU_[60];
+ vU_[68] = vU_[63] / vU_[60];
+ vU_[64] = vU_[53] / vU_[60];
+ vU_[36] = vU_[62] / vU_[60];
+ vU_[37] = 0 - vU_[38] * vU_[52] - vU_[2] * vU_[68] - vU_[21] * vU_[64] - vU_[28] * vU_[36];
+ jac[30] = (0 -
+ vU_[67] * (vU_[1] * vU_[52] + vU_[38] * vU_[68] + vU_[65] * vU_[64] + vU_[35] * vU_[36] +
+ (vU_[66] * vU_[37]) / vU_[27]) -
+ vU_[0] * (vU_[60] / vU_[60] + (-0.022851627 * vU_[37]) / vU_[27])) /
+ vU_[56];
+ vU_[36] = vU_[67] * jac[30];
+ vU_[64] = vU_[0] * jac[30];
+ jac[31] = (vU_[37] - vU_[66] * vU_[36] - -0.022851627 * vU_[64]) / vU_[27];
+ vU_[37] = vU_[38] * jac[31] + vU_[1] * vU_[36];
+ vU_[68] = vU_[2] * jac[31] + vU_[38] * vU_[36];
+ vU_[52] = vU_[28] * jac[31] + vU_[35] * vU_[36];
+ vU_[36] = vU_[21] * jac[31] + vU_[65] * vU_[36];
+ jac[32] = (1 - vU_[60] * vU_[64] - vU_[30] * vU_[37] - vU_[63] * vU_[68] - vU_[62] * vU_[52] - vU_[53] * vU_[36]) /
+ vU_[60];
+ vU_[32] = -1 * vU_[68];
+ vU_[64] = vU_[64] + jac[32];
+ vU_[46] = vU_[20] * vU_[64] + vU_[50] * vU_[37];
+ vU_[64] = vU_[50] * vU_[64] + vU_[3] * vU_[37];
+ vU_[36] = -0.304 * vU_[37] + -1 * vU_[36];
+ vU_[37] = vU_[50] * vU_[52] + vU_[33] * vU_[68];
+ vU_[52] = vU_[3] * vU_[52] + vU_[4] * vU_[68];
+ jac[33] = (0 - vU_[22] * vU_[32] - vU_[16] * vU_[46] - -0.00021200017 * vU_[64] - vU_[18] * vU_[36] -
+ vU_[15] * vU_[37] - vU_[54] * vU_[52]) /
+ vU_[22];
+ vU_[32] = vU_[32] + jac[33];
+ vU_[68] = vU_[29] * vU_[32] + vU_[6] * vU_[46];
+ vU_[43] = vU_[7] * vU_[32] + vU_[29] * vU_[46];
+ vU_[34] = vU_[44] * vU_[32] + vU_[49] * vU_[46] + vU_[29] * vU_[37] + vU_[24] * vU_[36];
+ jac[34] = (0 - vU_[26] * vU_[64] - vU_[47] * vU_[68] - vU_[17] * vU_[43] - vU_[11] * vU_[52] -
+ vU_[19] * (vU_[42] * vU_[32] + vU_[41] * vU_[46] + vU_[6] * vU_[37] + vU_[29] * vU_[36]) -
+ vU_[12] * vU_[34]) /
+ vU_[26];
+ vU_[64] = vU_[64] + jac[34];
+ jac[35] = (0 - 0.009277 * vU_[68] - -0.000829 * (vU_[10] * vU_[64] + vU_[8] * vU_[43]) -
+ 1.5e-05 * (vU_[8] * vU_[64] + vU_[9] * vU_[43]) -
+ 0.038686875 * (vU_[8] * vU_[34] + vU_[51] * vU_[68] + vU_[48] * vU_[52])) /
+ 0.009277;
+ vU_[64] = vU_[16] / vU_[22];
+ vU_[34] = -0.00021200017 / vU_[22];
+ vU_[43] = vU_[18] / vU_[22];
+ vU_[68] = vU_[20] * vU_[64] + vU_[50] * vU_[34];
+ vU_[52] = 0 - vU_[68];
+ vU_[34] = vU_[50] * vU_[64] + vU_[3] * vU_[34] + -0.304 * vU_[43] + (vU_[30] * vU_[52]) / vU_[60];
+ vU_[64] = vU_[54] / vU_[22];
+ vU_[32] = vU_[15] / vU_[22];
+ vU_[37] = vU_[4] * vU_[64] + -1 * vU_[22] / vU_[22] + vU_[33] * vU_[32] + (vU_[63] * vU_[52]) / vU_[60];
+ vU_[43] = -1 * vU_[43] + (vU_[53] * vU_[52]) / vU_[60];
+ vU_[32] = vU_[50] * vU_[32] + vU_[3] * vU_[64] + (vU_[62] * vU_[52]) / vU_[60];
+ vU_[64] = 0 - vU_[38] * vU_[34] - vU_[2] * vU_[37] - vU_[21] * vU_[43] - vU_[28] * vU_[32];
+ jac[42] = (0 -
+ vU_[67] * (vU_[1] * vU_[34] + vU_[38] * vU_[37] + vU_[65] * vU_[43] + vU_[35] * vU_[32] +
+ (vU_[66] * vU_[64]) / vU_[27]) -
+ vU_[0] * ((vU_[60] * vU_[52]) / vU_[60] + vU_[68] + (-0.022851627 * vU_[64]) / vU_[27])) /
+ vU_[56];
+ vU_[32] = vU_[67] * jac[42];
+ vU_[43] = vU_[0] * jac[42];
+ jac[43] = (vU_[64] - vU_[66] * vU_[32] - -0.022851627 * vU_[43]) / vU_[27];
+ vU_[64] = vU_[38] * jac[43] + vU_[1] * vU_[32];
+ vU_[37] = vU_[2] * jac[43] + vU_[38] * vU_[32];
+ vU_[34] = vU_[28] * jac[43] + vU_[35] * vU_[32];
+ vU_[32] = vU_[21] * jac[43] + vU_[65] * vU_[32];
+ jac[44] =
+ (vU_[52] - vU_[60] * vU_[43] - vU_[30] * vU_[64] - vU_[63] * vU_[37] - vU_[62] * vU_[34] - vU_[53] * vU_[32]) /
+ vU_[60];
+ vU_[52] = -1 * vU_[37];
+ vU_[43] = vU_[43] + jac[44];
+ vU_[68] = vU_[20] * vU_[43] + vU_[50] * vU_[64];
+ vU_[43] = vU_[50] * vU_[43] + vU_[3] * vU_[64];
+ vU_[32] = -0.304 * vU_[64] + -1 * vU_[32];
+ vU_[64] = vU_[50] * vU_[34] + vU_[33] * vU_[37];
+ vU_[34] = vU_[3] * vU_[34] + vU_[4] * vU_[37];
+ jac[45] = (1 - vU_[22] * vU_[52] - vU_[16] * vU_[68] - -0.00021200017 * vU_[43] - vU_[18] * vU_[32] -
+ vU_[15] * vU_[64] - vU_[54] * vU_[34]) /
+ vU_[22];
+ vU_[52] = vU_[52] + jac[45];
+ vU_[37] = vU_[29] * vU_[52] + vU_[6] * vU_[68];
+ vU_[36] = vU_[7] * vU_[52] + vU_[29] * vU_[68];
+ vU_[46] = vU_[44] * vU_[52] + vU_[49] * vU_[68] + vU_[29] * vU_[64] + vU_[24] * vU_[32];
+ jac[46] = (0 - vU_[26] * vU_[43] - vU_[47] * vU_[37] - vU_[17] * vU_[36] - vU_[11] * vU_[34] -
+ vU_[19] * (vU_[42] * vU_[52] + vU_[41] * vU_[68] + vU_[6] * vU_[64] + vU_[29] * vU_[32]) -
+ vU_[12] * vU_[46]) /
+ vU_[26];
+ vU_[43] = vU_[43] + jac[46];
+ jac[47] = (0 - 0.009277 * vU_[37] - -0.000829 * (vU_[10] * vU_[43] + vU_[8] * vU_[36]) -
+ 1.5e-05 * (vU_[8] * vU_[43] + vU_[9] * vU_[36]) -
+ 0.038686875 * (vU_[8] * vU_[46] + vU_[51] * vU_[37] + vU_[48] * vU_[34])) /
+ 0.009277;
+ vU_[43] = vU_[47] / vU_[26];
+ vU_[46] = vU_[17] / vU_[26];
+ vU_[36] = vU_[12] / vU_[26];
+ vU_[37] = vU_[19] / vU_[26];
+ vU_[34] = vU_[29] * vU_[43] + vU_[7] * vU_[46] + vU_[44] * vU_[36] + vU_[42] * vU_[37];
+ vU_[52] = 0 - vU_[34];
+ vU_[46] =
+ vU_[6] * vU_[43] + vU_[29] * vU_[46] + vU_[49] * vU_[36] + vU_[41] * vU_[37] + (vU_[16] * vU_[52]) / vU_[22];
+ vU_[43] = vU_[26] / vU_[26] + (-0.00021200017 * vU_[52]) / vU_[22];
+ vU_[64] = vU_[29] * vU_[37] + vU_[24] * vU_[36] + (vU_[18] * vU_[52]) / vU_[22];
+ vU_[32] = vU_[20] * vU_[46] + vU_[50] * vU_[43];
+ vU_[68] = 0 - vU_[32];
+ vU_[43] = vU_[50] * vU_[46] + vU_[3] * vU_[43] + -0.304 * vU_[64] + (vU_[30] * vU_[68]) / vU_[60];
+ vU_[46] = vU_[11] / vU_[26] + (vU_[54] * vU_[52]) / vU_[22];
+ vU_[37] = vU_[6] * vU_[37] + vU_[29] * vU_[36] + (vU_[15] * vU_[52]) / vU_[22];
+ vU_[34] = vU_[4] * vU_[46] + -1 * (vU_[34] + (vU_[22] * vU_[52]) / vU_[22]) + vU_[33] * vU_[37] +
+ (vU_[63] * vU_[68]) / vU_[60];
+ vU_[64] = -1 * vU_[64] + (vU_[53] * vU_[68]) / vU_[60];
+ vU_[37] = vU_[50] * vU_[37] + vU_[3] * vU_[46] + (vU_[62] * vU_[68]) / vU_[60];
+ vU_[46] = 0 - vU_[38] * vU_[43] - vU_[2] * vU_[34] - vU_[21] * vU_[64] - vU_[28] * vU_[37];
+ jac[54] = (0 -
+ vU_[67] * (vU_[1] * vU_[43] + vU_[38] * vU_[34] + vU_[65] * vU_[64] + vU_[35] * vU_[37] +
+ (vU_[66] * vU_[46]) / vU_[27]) -
+ vU_[0] * ((vU_[60] * vU_[68]) / vU_[60] + vU_[32] + (-0.022851627 * vU_[46]) / vU_[27])) /
+ vU_[56];
+ vU_[37] = vU_[67] * jac[54];
+ vU_[64] = vU_[0] * jac[54];
+ jac[55] = (vU_[46] - vU_[66] * vU_[37] - -0.022851627 * vU_[64]) / vU_[27];
+ vU_[46] = vU_[38] * jac[55] + vU_[1] * vU_[37];
+ vU_[34] = vU_[2] * jac[55] + vU_[38] * vU_[37];
+ vU_[43] = vU_[28] * jac[55] + vU_[35] * vU_[37];
+ vU_[37] = vU_[21] * jac[55] + vU_[65] * vU_[37];
+ jac[56] =
+ (vU_[68] - vU_[60] * vU_[64] - vU_[30] * vU_[46] - vU_[63] * vU_[34] - vU_[62] * vU_[43] - vU_[53] * vU_[37]) /
+ vU_[60];
+ vU_[68] = -1 * vU_[34];
+ vU_[64] = vU_[64] + jac[56];
+ vU_[32] = vU_[20] * vU_[64] + vU_[50] * vU_[46];
+ vU_[64] = vU_[50] * vU_[64] + vU_[3] * vU_[46];
+ vU_[37] = -0.304 * vU_[46] + -1 * vU_[37];
+ vU_[46] = vU_[50] * vU_[43] + vU_[33] * vU_[34];
+ vU_[43] = vU_[3] * vU_[43] + vU_[4] * vU_[34];
+ jac[57] = (vU_[52] - vU_[22] * vU_[68] - vU_[16] * vU_[32] - -0.00021200017 * vU_[64] - vU_[18] * vU_[37] -
+ vU_[15] * vU_[46] - vU_[54] * vU_[43]) /
+ vU_[22];
+ vU_[68] = vU_[68] + jac[57];
+ vU_[52] = vU_[29] * vU_[68] + vU_[6] * vU_[32];
+ vU_[34] = vU_[7] * vU_[68] + vU_[29] * vU_[32];
+ vU_[36] = vU_[44] * vU_[68] + vU_[49] * vU_[32] + vU_[29] * vU_[46] + vU_[24] * vU_[37];
+ jac[58] = (1 - vU_[26] * vU_[64] - vU_[47] * vU_[52] - vU_[17] * vU_[34] - vU_[11] * vU_[43] -
+ vU_[19] * (vU_[42] * vU_[68] + vU_[41] * vU_[32] + vU_[6] * vU_[46] + vU_[29] * vU_[37]) -
+ vU_[12] * vU_[36]) /
+ vU_[26];
+ vU_[64] = vU_[64] + jac[58];
+ jac[59] = (0 - 0.009277 * vU_[52] - -0.000829 * (vU_[10] * vU_[64] + vU_[8] * vU_[34]) -
+ 1.5e-05 * (vU_[8] * vU_[64] + vU_[9] * vU_[34]) -
+ 0.038686875 * (vU_[8] * vU_[36] + vU_[51] * vU_[52] + vU_[48] * vU_[43])) /
+ 0.009277;
+ vU_[64] = vU_[10] * -0.089360784736445 + vU_[8] * 0.00161690201573785;
+ vU_[36] = 0 - vU_[64];
+ vU_[34] = 1 + vU_[51] * 4.17019241133987 + (vU_[47] * vU_[36]) / vU_[26];
+ vU_[52] = vU_[8] * -0.089360784736445 + vU_[9] * 0.00161690201573785 + (vU_[17] * vU_[36]) / vU_[26];
+ vU_[43] = vU_[8] * 4.17019241133987 + (vU_[12] * vU_[36]) / vU_[26];
+ vU_[68] = (vU_[19] * vU_[36]) / vU_[26];
+ vU_[46] = vU_[29] * vU_[34] + vU_[7] * vU_[52] + vU_[44] * vU_[43] + vU_[42] * vU_[68];
+ vU_[37] = 0 - vU_[46];
+ vU_[52] =
+ vU_[6] * vU_[34] + vU_[29] * vU_[52] + vU_[49] * vU_[43] + vU_[41] * vU_[68] + (vU_[16] * vU_[37]) / vU_[22];
+ vU_[64] = (vU_[26] * vU_[36]) / vU_[26] + vU_[64] + (-0.00021200017 * vU_[37]) / vU_[22];
+ vU_[34] = vU_[29] * vU_[68] + vU_[24] * vU_[43] + (vU_[18] * vU_[37]) / vU_[22];
+ vU_[32] = vU_[20] * vU_[52] + vU_[50] * vU_[64];
+ vU_[45] = 0 - vU_[32];
+ vU_[64] = vU_[50] * vU_[52] + vU_[3] * vU_[64] + -0.304 * vU_[34] + (vU_[30] * vU_[45]) / vU_[60];
+ vU_[52] = vU_[48] * 4.17019241133987 + (vU_[11] * vU_[36]) / vU_[26] + (vU_[54] * vU_[37]) / vU_[22];
+ vU_[68] = vU_[6] * vU_[68] + vU_[29] * vU_[43] + (vU_[15] * vU_[37]) / vU_[22];
+ vU_[46] = vU_[4] * vU_[52] + -1 * (vU_[46] + (vU_[22] * vU_[37]) / vU_[22]) + vU_[33] * vU_[68] +
+ (vU_[63] * vU_[45]) / vU_[60];
+ vU_[34] = -1 * vU_[34] + (vU_[53] * vU_[45]) / vU_[60];
+ vU_[68] = vU_[50] * vU_[68] + vU_[3] * vU_[52] + (vU_[62] * vU_[45]) / vU_[60];
+ vU_[52] = 0 - vU_[38] * vU_[64] - vU_[2] * vU_[46] - vU_[21] * vU_[34] - vU_[28] * vU_[68];
+ jac[66] = (0 -
+ vU_[67] * (vU_[1] * vU_[64] + vU_[38] * vU_[46] + vU_[65] * vU_[34] + vU_[35] * vU_[68] +
+ (vU_[66] * vU_[52]) / vU_[27]) -
+ vU_[0] * ((vU_[60] * vU_[45]) / vU_[60] + vU_[32] + (-0.022851627 * vU_[52]) / vU_[27])) /
+ vU_[56];
+ vU_[67] = vU_[67] * jac[66];
+ vU_[0] = vU_[0] * jac[66];
+ jac[67] = (vU_[52] - vU_[66] * vU_[67] - -0.022851627 * vU_[0]) / vU_[27];
+ vU_[1] = vU_[38] * jac[67] + vU_[1] * vU_[67];
+ vU_[38] = vU_[2] * jac[67] + vU_[38] * vU_[67];
+ vU_[28] = vU_[28] * jac[67] + vU_[35] * vU_[67];
+ vU_[67] = vU_[21] * jac[67] + vU_[65] * vU_[67];
+ jac[68] =
+ (vU_[45] - vU_[60] * vU_[0] - vU_[30] * vU_[1] - vU_[63] * vU_[38] - vU_[62] * vU_[28] - vU_[53] * vU_[67]) /
+ vU_[60];
+ vU_[45] = -1 * vU_[38];
+ vU_[0] = vU_[0] + jac[68];
+ vU_[20] = vU_[20] * vU_[0] + vU_[50] * vU_[1];
+ vU_[0] = vU_[50] * vU_[0] + vU_[3] * vU_[1];
+ vU_[67] = -0.304 * vU_[1] + -1 * vU_[67];
+ vU_[33] = vU_[50] * vU_[28] + vU_[33] * vU_[38];
+ vU_[28] = vU_[3] * vU_[28] + vU_[4] * vU_[38];
+ jac[69] = (vU_[37] - vU_[22] * vU_[45] - vU_[16] * vU_[20] - -0.00021200017 * vU_[0] - vU_[18] * vU_[67] -
+ vU_[15] * vU_[33] - vU_[54] * vU_[28]) /
+ vU_[22];
+ vU_[45] = vU_[45] + jac[69];
+ vU_[37] = vU_[29] * vU_[45] + vU_[6] * vU_[20];
+ vU_[7] = vU_[7] * vU_[45] + vU_[29] * vU_[20];
+ vU_[24] = vU_[44] * vU_[45] + vU_[49] * vU_[20] + vU_[29] * vU_[33] + vU_[24] * vU_[67];
+ jac[70] = (vU_[36] - vU_[26] * vU_[0] - vU_[47] * vU_[37] - vU_[17] * vU_[7] - vU_[11] * vU_[28] -
+ vU_[19] * (vU_[42] * vU_[45] + vU_[41] * vU_[20] + vU_[6] * vU_[33] + vU_[29] * vU_[67]) -
+ vU_[12] * vU_[24]) /
+ vU_[26];
+ vU_[0] = vU_[0] + jac[70];
+ jac[71] = (1 - 0.009277 * vU_[37] - -0.000829 * (vU_[10] * vU_[0] + vU_[8] * vU_[7]) -
+ 1.5e-05 * (vU_[8] * vU_[0] + vU_[9] * vU_[7]) -
+ 0.038686875 * (vU_[8] * vU_[24] + vU_[51] * vU_[37] + vU_[48] * vU_[28])) /
+ 0.009277;
+
+
+ return dFdu_;
+}
+} // namespace tpl
+} // namespace HyA
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward.cpp b/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward.cpp
new file mode 100644
index 0000000..148b00b
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward.cpp
@@ -0,0 +1,3514 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include "HyALinearizedForward.h"
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+
+const HyALinearizedForward::state_matrix_t& HyALinearizedForward::getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdx_.data();
+ Eigen::Matrix<double, 12 + 6, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = cos(x_in[1]);
+ vX_[1] = -1 * sin(x_in[1]);
+ vX_[2] = vX_[1] * x_in[6];
+ vX_[3] = vX_[2] * x_in[7];
+ vX_[4] = sin(x_in[1]);
+ vX_[5] = vX_[4] * x_in[6];
+ vX_[6] = cos(x_in[1]);
+ vX_[7] = vX_[6] * x_in[6];
+ vX_[8] = vX_[5] * vX_[7] + vX_[7] * vX_[5];
+ vX_[9] = cos(x_in[2]);
+ vX_[10] = vX_[5] + x_in[8];
+ vX_[11] = sin(x_in[2]);
+ vX_[12] = -0.112 * vX_[11];
+ vX_[13] = vX_[12] * vX_[2];
+ vX_[14] = vX_[0] * x_in[6];
+ vX_[15] = 0.112 * vX_[9];
+ vX_[16] = vX_[12] * vX_[14] + vX_[15] * x_in[7];
+ vX_[17] = -(vX_[10] * vX_[13] + vX_[7] * vX_[16]);
+ vX_[18] = vX_[9] * vX_[14] + vX_[11] * x_in[7];
+ vX_[19] = vX_[9] * vX_[2];
+ vX_[20] = vX_[18] * vX_[7] + vX_[19] * vX_[10];
+ vX_[21] = vX_[10] * vX_[7] + vX_[7] * vX_[10];
+ vX_[22] = 0 - vX_[9];
+ vX_[23] = vX_[11] * vX_[14] + vX_[22] * x_in[7];
+ vX_[24] = vX_[11] * vX_[2];
+ vX_[25] = vX_[23] * vX_[24] + vX_[24] * vX_[23];
+ vX_[26] = cos(x_in[3]);
+ vX_[27] = sin(x_in[3]);
+ vX_[28] = 0 - vX_[27];
+ vX_[29] = vX_[26] * vX_[18] + vX_[28] * vX_[10];
+ vX_[30] = 0.112 * vX_[9];
+ vX_[31] = vX_[30] * vX_[2];
+ vX_[32] = -0.304 * vX_[19] + -1 * vX_[31];
+ vX_[33] = vX_[26] * vX_[19] + vX_[28] * vX_[7];
+ vX_[34] = 0.112 * vX_[11];
+ vX_[35] = vX_[30] * vX_[14] + vX_[34] * x_in[7];
+ vX_[36] = -0.304 * vX_[18] + -1 * vX_[35];
+ vX_[37] = -1 * vX_[23] + x_in[9];
+ vX_[38] = -0.304 * vX_[26];
+ vX_[39] = vX_[38] * vX_[24] + vX_[26] * vX_[13];
+ vX_[40] = -1 * vX_[24];
+ vX_[41] = vX_[38] * vX_[23] + vX_[26] * vX_[16];
+ vX_[42] = vX_[29] * vX_[32] + vX_[33] * vX_[36] - (vX_[37] * vX_[39] + vX_[40] * vX_[41]);
+ vX_[43] = vX_[29] * vX_[40] + vX_[33] * vX_[37];
+ vX_[44] = vX_[37] * vX_[40] + vX_[40] * vX_[37];
+ vX_[45] = vX_[27] * vX_[18] + vX_[26] * vX_[10];
+ vX_[46] = vX_[27] * vX_[19] + vX_[26] * vX_[7];
+ vX_[47] = vX_[45] * vX_[46] + vX_[46] * vX_[45];
+ vX_[48] = cos(x_in[4]);
+ vX_[49] = sin(x_in[4]);
+ vX_[50] = vX_[48] * vX_[29] + vX_[49] * vX_[37];
+ vX_[51] = -0.304 * vX_[27];
+ vX_[52] = vX_[51] * vX_[24] + vX_[27] * vX_[13];
+ vX_[53] = vX_[48] * vX_[33] + vX_[49] * vX_[40];
+ vX_[54] = vX_[51] * vX_[23] + vX_[27] * vX_[16];
+ vX_[55] = vX_[45] + x_in[10];
+ vX_[56] = 0.112 * vX_[48];
+ vX_[57] = -0.112 * vX_[49];
+ vX_[58] = vX_[56] * vX_[40] + vX_[57] * vX_[33] + vX_[49] * vX_[32] + vX_[48] * vX_[39];
+ vX_[59] = vX_[56] * vX_[37] + vX_[57] * vX_[29] + vX_[49] * vX_[36] + vX_[48] * vX_[41];
+ vX_[60] = vX_[50] * vX_[52] + vX_[53] * vX_[54] - (vX_[55] * vX_[58] + vX_[46] * vX_[59]);
+ vX_[61] = vX_[50] * vX_[46] + vX_[53] * vX_[55];
+ vX_[62] = vX_[55] * vX_[46] + vX_[46] * vX_[55];
+ vX_[63] = 0 - vX_[48];
+ vX_[64] = vX_[49] * vX_[29] + vX_[63] * vX_[37];
+ vX_[65] = vX_[49] * vX_[33] + vX_[63] * vX_[40];
+ vX_[66] = vX_[64] * vX_[65] + vX_[65] * vX_[64];
+ vX_[67] = sin(x_in[5]);
+ vX_[68] = cos(x_in[5]);
+ vX_[69] = vX_[67] * vX_[64] + vX_[68] * vX_[55];
+ vX_[70] = 0 - vX_[67];
+ vX_[71] = vX_[68] * vX_[65] + vX_[70] * vX_[46];
+ vX_[72] = vX_[67] * vX_[65] + vX_[68] * vX_[46];
+ vX_[73] = vX_[68] * vX_[64] + vX_[70] * vX_[55];
+ vX_[74] = vX_[69] * vX_[71] + vX_[72] * vX_[73];
+ vX_[75] = vX_[50] + x_in[11];
+ vX_[76] = 0.112 * vX_[49];
+ vX_[77] = 0.112 * vX_[48];
+ vX_[78] = 0 - vX_[48];
+ vX_[79] = vX_[76] * vX_[40] + vX_[77] * vX_[33] + vX_[78] * vX_[32] + vX_[49] * vX_[39];
+ vX_[80] = 0.184 * vX_[67] - 0.02075 * vX_[68];
+ vX_[81] = vX_[68] * vX_[52] + vX_[67] * vX_[79] + vX_[80] * vX_[53];
+ vX_[82] = vX_[76] * vX_[37] + vX_[77] * vX_[29] + vX_[78] * vX_[36] + vX_[49] * vX_[41];
+ vX_[83] = vX_[68] * vX_[54] + vX_[67] * vX_[82] + vX_[80] * vX_[50];
+ vX_[84] = vX_[75] * vX_[81] + vX_[53] * vX_[83];
+ vX_[85] = 0.02075 * vX_[46] + -0.184 * vX_[65] + vX_[58];
+ vX_[86] = 0.02075 * vX_[55] + -0.184 * vX_[64] + vX_[59];
+ vX_[87] = vX_[69] * vX_[85] + vX_[72] * vX_[86];
+ vX_[88] = vX_[69] * vX_[53] + vX_[72] * vX_[75];
+ vX_[89] = vX_[73] * vX_[53] + vX_[71] * vX_[75];
+ vX_[90] = vX_[73] * vX_[71] + vX_[71] * vX_[73];
+ vX_[91] = vX_[69] * vX_[72] + vX_[72] * vX_[69];
+ vX_[92] = -0.00751 * vX_[74] + 0.038686875 * (vX_[84] - vX_[87]) + -0.000829 * vX_[88] - 1.5e-05 * vX_[89] -
+ 0.000198 * (vX_[90] - vX_[91]);
+ vX_[93] = 0 - vX_[92];
+ vX_[94] = 0.02075 * vX_[67] + 0.184 * vX_[68];
+ vX_[95] = (-vX_[72]) * x_in[11];
+ vX_[96] = vX_[71] * x_in[11];
+ vX_[97] = (-vX_[81]) * x_in[11];
+ vX_[87] = 0.038686875 * vX_[74] + -1.547475 * (vX_[87] - vX_[84]) + 0.00345708950900075 * vX_[95] +
+ -6.25528861700981e-05 * vX_[96] + 1.38614328745655 * vX_[97] + (0.038686875 * vX_[93]) / 0.009277;
+ vX_[84] = 0 - vX_[67];
+ vX_[98] = vX_[84] * vX_[52] + vX_[68] * vX_[79] + vX_[94] * vX_[53];
+ vX_[99] = vX_[84] * vX_[54] + vX_[68] * vX_[82] + vX_[94] * vX_[50];
+ vX_[100] = vX_[75] * vX_[53] + vX_[53] * vX_[75];
+ vX_[85] = 1.547475 * (vX_[73] * vX_[85] + vX_[71] * vX_[86] - (vX_[75] * vX_[98] + vX_[53] * vX_[99])) +
+ 1.547475 * vX_[98] * x_in[11] - 0.038686875 * (vX_[100] + vX_[90]);
+ vX_[101] = 1.547475 * vX_[80];
+ vX_[102] = -0.184 * vX_[68] + 0.02075 * vX_[70];
+ vX_[103] = 0 - 1.38614328745655 * vX_[102];
+ vX_[104] = vX_[101] * vX_[80] - vX_[103] * vX_[102];
+ vX_[105] = 0 - -6.25528861700981e-05 * vX_[102];
+ vX_[106] = 0 - 0.00345708950900075 * vX_[102];
+ vX_[107] = 0 - vX_[106];
+ vX_[108] = -0.001243 + vX_[68] * vX_[105] + vX_[67] * vX_[107];
+ vX_[109] = 0 - 1.547475 * vX_[80];
+ vX_[110] = 0.0107369757464698 - vX_[109] * vX_[80] - vX_[104];
+ vX_[111] = 0.000199340411771047 + vX_[109] * vX_[102] - -0.038686875 * vX_[80];
+ vX_[112] = vX_[68] * vX_[110] + vX_[70] * vX_[111];
+ vX_[113] = 1.547475 * vX_[102];
+ vX_[114] = 0.00315291990945349 + -0.07737375 * vX_[102] + vX_[113] * vX_[102] - vX_[104];
+ vX_[115] = vX_[68] * vX_[111] + vX_[70] * vX_[114];
+ vX_[116] = vX_[112] * vX_[68] + vX_[115] * vX_[70];
+ vX_[117] = 0.011046 + vX_[104] + vX_[116];
+ vX_[118] = vX_[108] / vX_[117];
+ vX_[119] = 0.029115 + vX_[104] - vX_[108] * vX_[118];
+ vX_[120] = (-vX_[65]) * x_in[10];
+ vX_[106] = 2. * vX_[106];
+ vX_[121] = 2. * vX_[105];
+ vX_[122] = -0.012652 + vX_[115] * vX_[68] + vX_[112] * vX_[67];
+ vX_[123] = -0.001387 + vX_[106] * vX_[68] + vX_[121] * vX_[67] + vX_[70] * vX_[105] + vX_[68] * vX_[107] -
+ vX_[122] * vX_[118];
+ vX_[124] = vX_[53] * x_in[10];
+ vX_[125] = -0.038686875 + vX_[113];
+ vX_[126] = 0 - vX_[125];
+ vX_[127] = vX_[67] * vX_[126] + vX_[68] * vX_[109];
+ vX_[128] = vX_[127] / vX_[117];
+ vX_[129] = 0 - vX_[108] * vX_[128];
+ vX_[130] = (-vX_[79]) * x_in[10];
+ vX_[125] = vX_[103] + vX_[125];
+ vX_[131] = vX_[101] + vX_[109];
+ vX_[132] = vX_[68] * vX_[126] + vX_[70] * vX_[109];
+ vX_[133] = -6.25528861700981e-05 * vX_[68] + 0.00345708950900075 * vX_[70];
+ vX_[134] = vX_[133] * vX_[68];
+ vX_[135] = vX_[134] / vX_[117];
+ vX_[136] = 0.057838 + vX_[125] * vX_[68] + vX_[131] * vX_[67] + vX_[132] - vX_[108] * vX_[135];
+ vX_[137] = vX_[58] * x_in[10];
+ vX_[138] = vX_[64] * vX_[46] + vX_[65] * vX_[55];
+ vX_[139] = vX_[64] * vX_[53] + vX_[65] * vX_[50];
+ vX_[98] = vX_[69] * vX_[98] + vX_[72] * vX_[99] - (vX_[73] * vX_[81] + vX_[71] * vX_[83]);
+ vX_[91] = 0.000198 * vX_[89] + 1.5e-05 * (vX_[100] - vX_[91]) + 0.00315291990945349 * vX_[95] +
+ 0.000199340411771047 * vX_[96] + 0.00345708950900075 * vX_[97] + (-0.000829 * vX_[93]) / 0.009277 -
+ 0.038686875 * vX_[98] - -0.00146 * vX_[88] - -0.000829 * vX_[74];
+ vX_[100] = 0.00605 * vX_[89] + 1.5e-05 * vX_[74] + 0.000199340411771047 * vX_[95] + 0.0107369757464698 * vX_[96] +
+ -6.25528861700981e-05 * vX_[97] + (1.5e-05 * vX_[93]) / 0.009277 - 0.000198 * vX_[88] -
+ -0.000829 * (vX_[100] - vX_[90]);
+ vX_[98] = 0.038686875 * vX_[88] + 1.547475 * vX_[98] + -0.038686875 * vX_[95];
+ vX_[88] = vX_[50] * vX_[53] + vX_[53] * vX_[50];
+ vX_[90] = -0.001243 * vX_[138] + 0.009683 * vX_[139] + vX_[70] * vX_[91] + vX_[68] * vX_[100] + 0.02075 * vX_[98] -
+ -0.012652 * vX_[61] - -0.001387 * (vX_[88] - vX_[66]);
+ vX_[89] = 0 - vX_[90];
+ vX_[92] = 0.057838 * vX_[60] + -0.001387 * vX_[61] + -0.012652 * (vX_[62] - vX_[66]) +
+ (0.009277 * vX_[93]) / 0.009277 + vX_[92] + vX_[94] * vX_[87] + vX_[80] * vX_[85] + vX_[119] * vX_[120] +
+ vX_[123] * vX_[124] + vX_[129] * vX_[130] + vX_[136] * vX_[137] + (vX_[108] * vX_[89]) / vX_[117] -
+ -0.008386 * vX_[138] - -0.001243 * vX_[139];
+ vX_[74] = vX_[64] * vX_[52] + vX_[65] * vX_[54] - (vX_[55] * vX_[79] + vX_[46] * vX_[82]);
+ vX_[81] = vX_[122] / vX_[117];
+ vX_[116] = 0.019432 + vX_[114] + vX_[110] + vX_[104] - vX_[116] - vX_[122] * vX_[81];
+ vX_[132] = -0.057838 - vX_[132] - vX_[122] * vX_[128];
+ vX_[104] = -6.25528861700981e-05 * vX_[67] + 0.00345708950900075 * vX_[68];
+ vX_[72] = vX_[104] * vX_[68] - vX_[122] * vX_[135];
+ vX_[100] = -0.018069 * vX_[61] + 0.057838 * vX_[74] + -0.012652 * vX_[139] + vX_[68] * vX_[91] +
+ vX_[67] * vX_[100] + -0.184 * vX_[98] + vX_[123] * vX_[120] + vX_[116] * vX_[124] + vX_[132] * vX_[130] +
+ vX_[72] * vX_[137] + (vX_[122] * vX_[89]) / vX_[117] - -0.001387 * vX_[138] -
+ -0.001243 * (vX_[62] - vX_[88]);
+ vX_[91] = 3.650675 - vX_[127] * vX_[128];
+ vX_[139] = 0 - vX_[134] * vX_[128];
+ vX_[74] = 0.057838 * vX_[61] + -2.1032 * vX_[74] + vX_[98] + vX_[129] * vX_[120] + vX_[132] * vX_[124] +
+ vX_[91] * vX_[130] + vX_[139] * vX_[137] + (vX_[127] * vX_[89]) / vX_[117];
+ vX_[98] = -0.161331712543454 * vX_[70];
+ vX_[61] = vX_[98] * vX_[70];
+ vX_[62] = 3.48934328745655 - vX_[61] - vX_[134] * vX_[135];
+ vX_[138] = 0.057838 * vX_[138] + 2.1032 * vX_[60] + vX_[68] * vX_[87] + vX_[67] * vX_[85] + vX_[136] * vX_[120] +
+ vX_[72] * vX_[124] + vX_[139] * vX_[130] + vX_[62] * vX_[137] + (vX_[134] * vX_[89]) / vX_[117];
+ vX_[60] = 2. * vX_[132];
+ vX_[71] = vX_[49] * vX_[57] + vX_[63] * vX_[56];
+ vX_[140] = vX_[71] * vX_[91];
+ vX_[141] = vX_[60] * vX_[71] + vX_[116] + vX_[140] * vX_[71];
+ vX_[142] = vX_[71] * vX_[139];
+ vX_[143] = vX_[129] * vX_[71] + vX_[123] - vX_[72] * vX_[71] - vX_[142] * vX_[71];
+ vX_[144] = vX_[49] * vX_[141] + vX_[48] * vX_[143];
+ vX_[145] = vX_[49] * vX_[143];
+ vX_[146] = 2. * vX_[136];
+ vX_[147] = 0 - vX_[71] * vX_[62];
+ vX_[148] = vX_[119] - vX_[146] * vX_[71] - vX_[147] * vX_[71];
+ vX_[149] = vX_[145] + vX_[48] * vX_[148];
+ vX_[150] = vX_[144] * vX_[49] + vX_[149] * vX_[48];
+ vX_[151] = vX_[63] * vX_[143] + vX_[49] * vX_[148];
+ vX_[145] = vX_[63] * vX_[141] + vX_[145];
+ vX_[152] = -0.0022920002 + vX_[151] * vX_[48] + vX_[145] * vX_[49];
+ vX_[153] = vX_[145] * vX_[63] + vX_[151] * vX_[49];
+ vX_[154] = 0.09570849 + vX_[153];
+ vX_[155] = vX_[152] / vX_[154];
+ vX_[156] = 0.01828449 + vX_[150] - vX_[152] * vX_[155];
+ vX_[157] = (-vX_[46]) * x_in[9];
+ vX_[158] = 0.0036857284 - -0.00021200017 * vX_[155];
+ vX_[159] = vX_[33] * x_in[9];
+ vX_[160] = vX_[140] + vX_[132];
+ vX_[161] = vX_[129] - vX_[142];
+ vX_[162] = vX_[49] * vX_[160] + vX_[48] * vX_[161];
+ vX_[163] = vX_[142] + vX_[72];
+ vX_[164] = vX_[147] + vX_[136];
+ vX_[165] = vX_[49] * vX_[163] + vX_[48] * vX_[164];
+ vX_[166] = vX_[63] * vX_[160] + vX_[49] * vX_[161];
+ vX_[167] = vX_[63] * vX_[163] + vX_[49] * vX_[164];
+ vX_[168] = 0.160298259823722 + vX_[166] * vX_[48] + vX_[167] * vX_[49];
+ vX_[169] = vX_[168] / vX_[154];
+ vX_[170] = vX_[162] * vX_[48] + vX_[165] * vX_[49] - vX_[152] * vX_[169];
+ vX_[171] = (-vX_[52]) * x_in[9];
+ vX_[172] = vX_[133] * vX_[70];
+ vX_[173] = vX_[172] / vX_[117];
+ vX_[174] = vX_[125] * vX_[70] + vX_[131] * vX_[68] - vX_[127] - vX_[108] * vX_[173];
+ vX_[175] = vX_[98] * vX_[68] - vX_[134] * vX_[173];
+ vX_[176] = vX_[174] - vX_[71] * vX_[175];
+ vX_[177] = 0 - vX_[176];
+ vX_[178] = 0 - vX_[127] * vX_[173];
+ vX_[179] = vX_[104] * vX_[70] - vX_[122] * vX_[173];
+ vX_[180] = vX_[71] * vX_[178] + vX_[179];
+ vX_[181] = vX_[49] * vX_[180];
+ vX_[182] = vX_[63] * vX_[177] + vX_[181];
+ vX_[183] = vX_[49] * vX_[177] + vX_[48] * vX_[180];
+ vX_[184] = 0.008711861 - vX_[183];
+ vX_[185] = vX_[184] / vX_[154];
+ vX_[186] = 1.52322944854339e-09 + vX_[182] - vX_[152] * vX_[185];
+ vX_[187] = vX_[39] * x_in[9];
+ vX_[188] = vX_[37] * vX_[52] + vX_[40] * vX_[54];
+ vX_[32] = vX_[45] * vX_[32] + vX_[46] * vX_[36];
+ vX_[189] = vX_[45] * vX_[33] + vX_[46] * vX_[29];
+ vX_[40] = vX_[45] * vX_[40] + vX_[46] * vX_[37];
+ vX_[190] = vX_[29] * vX_[33] + vX_[33] * vX_[29];
+ vX_[191] = 0.160298259823722 * (vX_[188] - vX_[32]) + -0.06337651 * vX_[189] + -0.0022920002 * vX_[40] +
+ vX_[49] * vX_[92] + vX_[63] * vX_[100] + vX_[56] * vX_[74] + vX_[76] * vX_[138] -
+ -0.008711861 * vX_[42] - -0.00021200017 * vX_[43] - 0.0036857284 * (vX_[190] - vX_[47]);
+ vX_[192] = 0 - vX_[191];
+ vX_[52] = vX_[45] * vX_[39] + vX_[46] * vX_[41] - (vX_[29] * vX_[52] + vX_[33] * vX_[54]);
+ vX_[100] = 1.52322944854339e-09 * vX_[42] + 0.0036857284 * vX_[43] + -0.00021200017 * (vX_[44] - vX_[47]) +
+ vX_[48] * vX_[92] + vX_[49] * vX_[100] + vX_[57] * vX_[74] + vX_[77] * vX_[138] + vX_[156] * vX_[157] +
+ vX_[158] * vX_[159] + vX_[170] * vX_[171] + vX_[186] * vX_[187] + (vX_[152] * vX_[192]) / vX_[154] -
+ 0.160298259823722 * vX_[52] - 0.01404749 * vX_[40] - -0.0022920002 * vX_[189];
+ vX_[92] = -0.00021200017 / vX_[154];
+ vX_[153] = 0.081661 + vX_[148] + vX_[141] - vX_[150] - vX_[153] - -0.00021200017 * vX_[92];
+ vX_[182] = -1.52322944854339e-09 + vX_[176] * vX_[48] + vX_[181] - vX_[182] - -0.00021200017 * vX_[169];
+ vX_[181] = 0 - -0.00021200017 * vX_[185];
+ vX_[90] = -0.008711861 * vX_[52] + 1.52322944854339e-09 * (vX_[32] - vX_[188]) + 0.077424 * vX_[43] +
+ -0.00021200017 * vX_[189] + (vX_[117] * vX_[89]) / vX_[117] + vX_[90] + vX_[158] * vX_[157] +
+ vX_[153] * vX_[159] + vX_[182] * vX_[171] + vX_[181] * vX_[187] + (-0.00021200017 * vX_[192]) / vX_[154] -
+ 0.0036857284 * vX_[40] - -0.0022920002 * (vX_[44] - vX_[190]);
+ vX_[150] = vX_[167] * vX_[63] + vX_[166] * vX_[49];
+ vX_[46] = vX_[150] / vX_[154];
+ vX_[39] = -0.160298259823722 + vX_[162] * vX_[49] + vX_[165] * vX_[63] - vX_[152] * vX_[46];
+ vX_[183] = -0.008711861 + vX_[176] * vX_[49] + vX_[180] * vX_[63] + vX_[183] - -0.00021200017 * vX_[46];
+ vX_[61] = 3.650675 + vX_[61] - vX_[172] * vX_[173];
+ vX_[33] = vX_[91] - vX_[61];
+ vX_[193] = vX_[63] * vX_[139] + vX_[49] * vX_[33];
+ vX_[194] = vX_[62] - vX_[61];
+ vX_[195] = vX_[49] * vX_[139];
+ vX_[196] = vX_[63] * vX_[194] + vX_[195];
+ vX_[197] = vX_[193] * vX_[48] + vX_[196] * vX_[49] - vX_[168] * vX_[46];
+ vX_[198] = 0 - vX_[178];
+ vX_[199] = 0 - vX_[48] * vX_[175] - vX_[49] * vX_[198] - vX_[184] * vX_[46];
+ vX_[52] = 1.7423722 * vX_[52] + 0.160298259823722 * vX_[40] + -0.008711861 * vX_[43] + vX_[49] * vX_[74] +
+ vX_[78] * vX_[138] + vX_[39] * vX_[157] + vX_[183] * vX_[159] + vX_[197] * vX_[171] +
+ vX_[199] * vX_[187] + (vX_[150] * vX_[192]) / vX_[154] - 1.52322944854339e-09 * (vX_[190] + vX_[47]);
+ vX_[200] = -1 * vX_[51];
+ vX_[201] = vX_[49] * vX_[194] + vX_[48] * vX_[139];
+ vX_[195] = vX_[195] + vX_[48] * vX_[33];
+ vX_[202] = vX_[201] * vX_[49] + vX_[195] * vX_[48];
+ vX_[203] = vX_[196] * vX_[63] + vX_[193] * vX_[49];
+ vX_[204] = 1.7423722 + vX_[33] + vX_[194] + vX_[61] - vX_[202] - vX_[203] - vX_[184] * vX_[185];
+ vX_[205] = -0.304 * vX_[26];
+ vX_[206] = vX_[49] * vX_[175] + vX_[63] * vX_[198] - vX_[184] * vX_[169];
+ vX_[207] = vX_[200] * vX_[204] - vX_[205] * vX_[206];
+ vX_[202] = 1.7423722 + vX_[61] + vX_[202] - vX_[168] * vX_[169];
+ vX_[208] = vX_[200] * vX_[206] - vX_[205] * vX_[202];
+ vX_[209] = vX_[207] * vX_[200] - vX_[208] * vX_[205];
+ vX_[210] = 2. * vX_[183];
+ vX_[203] = 1.7423722 + vX_[61] + vX_[203] - vX_[150] * vX_[46];
+ vX_[61] = 0 - vX_[200] * vX_[203];
+ vX_[211] = vX_[153] - vX_[210] * vX_[200] - vX_[61] * vX_[200] - vX_[209];
+ vX_[212] = vX_[158] + vX_[183] * vX_[205] + vX_[61] * vX_[205] - vX_[39] * vX_[200];
+ vX_[213] = vX_[26] * vX_[212];
+ vX_[214] = vX_[27] * vX_[211] + vX_[213];
+ vX_[215] = 2. * vX_[39];
+ vX_[216] = vX_[205] * vX_[203];
+ vX_[217] = vX_[215] * vX_[205] + vX_[156] + vX_[216] * vX_[205] - vX_[209];
+ vX_[218] = vX_[27] * vX_[212] + vX_[26] * vX_[217];
+ vX_[219] = vX_[214] * vX_[27] + vX_[218] * vX_[26];
+ vX_[213] = vX_[213] + vX_[28] * vX_[217];
+ vX_[220] = vX_[26] * vX_[211] + vX_[28] * vX_[212];
+ vX_[221] = -0.0037997814 + vX_[213] * vX_[26] + vX_[220] * vX_[27];
+ vX_[222] = vX_[220] * vX_[26] + vX_[213] * vX_[28];
+ vX_[223] = 0.010329999 + vX_[209] + vX_[222];
+ vX_[224] = vX_[221] / vX_[223];
+ vX_[225] = 0.20986895 + vX_[209] + vX_[219] - vX_[221] * vX_[224];
+ vX_[226] = (-vX_[24]) * x_in[8];
+ vX_[227] = vX_[200] * vX_[199];
+ vX_[228] = 0 - vX_[227];
+ vX_[229] = 0 - vX_[200] * vX_[197];
+ vX_[230] = vX_[181] * vX_[200] + vX_[228] * vX_[200] - vX_[182] * vX_[205] - vX_[229] * vX_[205];
+ vX_[231] = vX_[205] * vX_[197];
+ vX_[232] = vX_[205] * vX_[199];
+ vX_[233] = vX_[170] * vX_[205] + vX_[231] * vX_[205] - vX_[186] * vX_[200] - vX_[232] * vX_[200];
+ vX_[234] = -0.011715295 - vX_[26] * vX_[230] - vX_[27] * vX_[233];
+ vX_[235] = 5.399998e-05 + vX_[28] * vX_[230] + vX_[26] * vX_[233] - vX_[234] * vX_[224];
+ vX_[236] = vX_[19] * x_in[8];
+ vX_[237] = vX_[229] + vX_[182];
+ vX_[227] = vX_[227] - vX_[231];
+ vX_[238] = vX_[170] + vX_[231] - vX_[227];
+ vX_[239] = vX_[27] * vX_[237] + vX_[26] * vX_[238];
+ vX_[240] = vX_[181] + vX_[228] - vX_[227];
+ vX_[241] = vX_[232] + vX_[186];
+ vX_[242] = vX_[27] * vX_[240] + vX_[26] * vX_[241];
+ vX_[243] = vX_[26] * vX_[237] + vX_[28] * vX_[238];
+ vX_[244] = vX_[26] * vX_[240] + vX_[28] * vX_[241];
+ vX_[245] = -0.0055615274403 + vX_[243] * vX_[26] + vX_[244] * vX_[27];
+ vX_[246] = vX_[245] / vX_[223];
+ vX_[247] = vX_[239] * vX_[26] + vX_[242] * vX_[27] + vX_[227] - vX_[221] * vX_[246];
+ vX_[248] = (-vX_[31]) * x_in[8];
+ vX_[249] = vX_[216] + vX_[39];
+ vX_[250] = 0 - vX_[249];
+ vX_[251] = vX_[61] + vX_[183];
+ vX_[252] = vX_[26] * vX_[250] + vX_[28] * vX_[251];
+ vX_[253] = vX_[27] * vX_[250] + vX_[26] * vX_[251];
+ vX_[254] = -0.01438086 - vX_[253];
+ vX_[255] = vX_[254] / vX_[223];
+ vX_[256] = 0.647967112 + vX_[252] - vX_[221] * vX_[255];
+ vX_[257] = vX_[13] * x_in[8];
+ vX_[258] = vX_[10] * vX_[31] + vX_[7] * vX_[35];
+ vX_[259] = vX_[23] * vX_[19] + vX_[24] * vX_[18];
+ vX_[260] = vX_[23] * vX_[7] + vX_[24] * vX_[10];
+ vX_[261] = vX_[18] * vX_[19] + vX_[19] * vX_[18];
+ vX_[262] = -0.0055615274403 * vX_[258] + 0.00750500000000001 * vX_[259] + -0.0037997814 * vX_[260] +
+ vX_[28] * vX_[100] + vX_[26] * vX_[90] - 0.01438086 * vX_[17] - -0.011715295 * vX_[20] -
+ 5.399998e-05 * (vX_[261] - vX_[25]);
+ vX_[263] = 0 - vX_[262];
+ vX_[31] = vX_[23] * vX_[13] + vX_[24] * vX_[16] - (vX_[18] * vX_[31] + vX_[19] * vX_[35]);
+ vX_[90] = 0.647967112 * vX_[17] + 5.399998e-05 * vX_[20] + -0.011715295 * (vX_[21] - vX_[25]) + vX_[26] * vX_[100] +
+ vX_[27] * vX_[90] + -0.304 * vX_[52] + vX_[225] * vX_[226] + vX_[235] * vX_[236] + vX_[247] * vX_[248] +
+ vX_[256] * vX_[257] + (vX_[221] * vX_[263]) / vX_[223] - -0.0055615274403 * vX_[31] -
+ -0.192033951 * vX_[260] - -0.0037997814 * vX_[259];
+ vX_[258] = -vX_[258];
+ vX_[32] = -1.7423722 * (vX_[32] - vX_[188]) + 0.160298259823722 * vX_[189] + 1.52322944854339e-09 * vX_[43] +
+ vX_[48] * vX_[74] + vX_[49] * vX_[138] + vX_[170] * vX_[157] + vX_[182] * vX_[159] + vX_[202] * vX_[171] +
+ vX_[206] * vX_[187] + (vX_[168] * vX_[192]) / vX_[154] - -0.008711861 * (vX_[44] + vX_[47]);
+ vX_[190] = 1.7423722 * vX_[42] + 1.52322944854339e-09 * vX_[40] + -0.008711861 * vX_[189] +
+ 2.1032 * (vX_[64] * vX_[58] + vX_[65] * vX_[59] - (vX_[50] * vX_[79] + vX_[53] * vX_[82])) +
+ vX_[84] * vX_[87] + vX_[68] * vX_[85] + vX_[174] * vX_[120] + vX_[179] * vX_[124] + vX_[178] * vX_[130] +
+ vX_[175] * vX_[137] + (vX_[172] * vX_[89]) / vX_[117] + vX_[186] * vX_[157] + vX_[181] * vX_[159] +
+ vX_[206] * vX_[171] + vX_[204] * vX_[187] + (vX_[184] * vX_[192]) / vX_[154] -
+ 0.160298259823722 * (vX_[44] + vX_[190]) - 0.057838 * (vX_[88] + vX_[66]);
+ vX_[40] = vX_[234] / vX_[223];
+ vX_[222] = 0.20236395 + vX_[217] + vX_[211] + vX_[209] - vX_[219] - vX_[222] - vX_[234] * vX_[40];
+ vX_[249] = -1 * (vX_[208] + vX_[249]);
+ vX_[219] = -1 * (vX_[207] + vX_[251]);
+ vX_[252] = -0.647967112 + vX_[249] * vX_[26] + vX_[219] * vX_[27] - vX_[252] - vX_[234] * vX_[246];
+ vX_[209] = vX_[227] - vX_[234] * vX_[255];
+ vX_[31] = 0.01438086 * vX_[31] + 0.647967112 * vX_[258] + -0.199538951 * vX_[20] + -0.011715295 * vX_[259] +
+ vX_[38] * vX_[32] + vX_[51] * vX_[190] + -1 * (vX_[191] + (vX_[154] * vX_[192]) / vX_[154]) +
+ vX_[235] * vX_[226] + vX_[222] * vX_[236] + vX_[252] * vX_[248] + vX_[209] * vX_[257] +
+ (vX_[234] * vX_[263]) / vX_[223] - 5.399998e-05 * vX_[260] - -0.0037997814 * (vX_[21] - vX_[261]);
+ vX_[191] = vX_[204] - vX_[203];
+ vX_[189] = vX_[26] * vX_[206];
+ vX_[88] = vX_[27] * vX_[191] + vX_[189];
+ vX_[85] = vX_[202] - vX_[203];
+ vX_[87] = vX_[27] * vX_[206] + vX_[26] * vX_[85];
+ vX_[79] = vX_[88] * vX_[27] + vX_[87] * vX_[26];
+ vX_[66] = 2.327 + vX_[203] + vX_[79] - vX_[245] * vX_[246];
+ vX_[65] = 0 - vX_[197];
+ vX_[58] = vX_[28] * vX_[199] + vX_[26] * vX_[65] - vX_[254] * vX_[246];
+ vX_[190] = -2.327 * vX_[258] + -0.0055615274403 * vX_[259] + 0.647967112 * vX_[20] + vX_[26] * vX_[32] +
+ vX_[27] * vX_[190] + vX_[247] * vX_[226] + vX_[252] * vX_[236] + vX_[66] * vX_[248] +
+ vX_[58] * vX_[257] + (vX_[245] * vX_[263]) / vX_[223] - 0.01438086 * (vX_[21] + vX_[25]);
+ vX_[32] = vX_[26] * vX_[191] + vX_[28] * vX_[206];
+ vX_[189] = vX_[189] + vX_[28] * vX_[85];
+ vX_[258] = vX_[32] * vX_[26] + vX_[189] * vX_[28];
+ vX_[79] = 2.327 + vX_[85] + vX_[191] + vX_[203] - vX_[79] - vX_[258] - vX_[254] * vX_[255];
+ vX_[261] = 2.327 * vX_[17] + 0.647967112 * vX_[260] + 0.01438086 * vX_[259] + -1 * vX_[52] + vX_[256] * vX_[226] +
+ vX_[209] * vX_[236] + vX_[58] * vX_[248] + vX_[79] * vX_[257] + (vX_[254] * vX_[263]) / vX_[223] -
+ -0.0055615274403 * (vX_[21] + vX_[261]);
+ vX_[260] = 2. * vX_[252];
+ vX_[259] = vX_[11] * vX_[12] + vX_[22] * vX_[15];
+ vX_[52] = vX_[259] * vX_[66];
+ vX_[21] = vX_[260] * vX_[259] + vX_[222] + vX_[52] * vX_[259];
+ vX_[17] = vX_[259] * vX_[58];
+ vX_[25] = vX_[247] * vX_[259] + vX_[235] - vX_[209] * vX_[259] - vX_[17] * vX_[259];
+ vX_[20] = vX_[11] * vX_[21] + vX_[9] * vX_[25];
+ vX_[53] = vX_[11] * vX_[25];
+ vX_[44] = 2. * vX_[256];
+ vX_[42] = 0 - vX_[259] * vX_[79];
+ vX_[188] = vX_[225] - vX_[44] * vX_[259] - vX_[42] * vX_[259];
+ vX_[138] = vX_[53] + vX_[9] * vX_[188];
+ vX_[74] = vX_[20] * vX_[11] + vX_[138] * vX_[9];
+ vX_[47] = vX_[22] * vX_[25] + vX_[11] * vX_[188];
+ vX_[53] = vX_[22] * vX_[21] + vX_[53];
+ vX_[43] = -0.002752 + vX_[47] * vX_[9] + vX_[53] * vX_[11];
+ vX_[100] = vX_[53] * vX_[22] + vX_[47] * vX_[11];
+ vX_[24] = 0.051393528 + vX_[100];
+ vX_[19] = vX_[43] / vX_[24];
+ vX_[13] = 0.08585553 + vX_[74] - vX_[43] * vX_[19];
+ vX_[264] = (-vX_[7]) * x_in[7];
+ vX_[265] = 0.0055279857 - -0.022851627 * vX_[19];
+ vX_[266] = vX_[14] * vX_[2] + vX_[2] * vX_[14];
+ vX_[267] = vX_[7] * x_in[7];
+ vX_[7] = vX_[5] * vX_[2] + vX_[7] * vX_[14];
+ vX_[2] = -0.022851627 * vX_[3] + 0.0055279857 * (vX_[266] - vX_[8]) - -0.002752 * vX_[267] - 0.046852534 * vX_[7] -
+ vX_[11] * vX_[90] - vX_[22] * vX_[31] - vX_[15] * vX_[190] - vX_[34] * vX_[261];
+ vX_[268] = vX_[14] * x_in[7];
+ vX_[269] = x_in[7] * x_in[7];
+ vX_[270] = vX_[5] * vX_[5];
+ vX_[271] = 0 - vX_[10] * vX_[16];
+ vX_[272] = vX_[18] * vX_[10];
+ vX_[273] = vX_[10] * vX_[10];
+ vX_[274] = vX_[23] * vX_[23];
+ vX_[275] = vX_[29] * vX_[36] - vX_[37] * vX_[41];
+ vX_[276] = vX_[29] * vX_[37];
+ vX_[277] = vX_[37] * vX_[37];
+ vX_[278] = vX_[45] * vX_[45];
+ vX_[279] = vX_[50] * vX_[54] - vX_[55] * vX_[59];
+ vX_[280] = vX_[50] * vX_[55];
+ vX_[281] = vX_[55] * vX_[55];
+ vX_[282] = vX_[64] * vX_[64];
+ vX_[283] = vX_[69] * vX_[73];
+ vX_[284] = vX_[75] * vX_[83];
+ vX_[285] = vX_[69] * vX_[86];
+ vX_[286] = vX_[69] * vX_[75];
+ vX_[287] = vX_[73] * vX_[75];
+ vX_[288] = vX_[73] * vX_[73];
+ vX_[289] = vX_[69] * vX_[69];
+ vX_[290] = -0.00751 * vX_[283] + 0.038686875 * (vX_[284] - vX_[285]) + -0.000829 * vX_[286] - 1.5e-05 * vX_[287] -
+ 0.000198 * (vX_[288] - vX_[289]);
+ vX_[291] = x_in[17] - vX_[290];
+ vX_[292] = 0 - vX_[69];
+ vX_[293] = vX_[292] * x_in[11];
+ vX_[294] = vX_[73] * x_in[11];
+ vX_[295] = 0 - vX_[83];
+ vX_[296] = vX_[295] * x_in[11];
+ vX_[285] = 0.038686875 * vX_[283] + -1.547475 * (vX_[285] - vX_[284]) + 0.00345708950900075 * vX_[293] +
+ -6.25528861700981e-05 * vX_[294] + 1.38614328745655 * vX_[296] + (0.038686875 * vX_[291]) / 0.009277;
+ vX_[284] = vX_[75] * vX_[75];
+ vX_[297] = 1.547475 * (vX_[73] * vX_[86] - vX_[75] * vX_[99]) + 1.547475 * vX_[99] * x_in[11] -
+ 0.038686875 * (vX_[284] + vX_[288]);
+ vX_[298] = 0 - vX_[64];
+ vX_[299] = vX_[298] * x_in[10];
+ vX_[300] = vX_[50] * x_in[10];
+ vX_[301] = 0 - vX_[82];
+ vX_[302] = vX_[301] * x_in[10];
+ vX_[303] = vX_[59] * x_in[10];
+ vX_[304] = vX_[64] * vX_[55];
+ vX_[305] = vX_[64] * vX_[50];
+ vX_[306] = vX_[69] * vX_[99] - vX_[73] * vX_[83];
+ vX_[289] = 0.000198 * vX_[287] + 1.5e-05 * (vX_[284] - vX_[289]) + 0.00315291990945349 * vX_[293] +
+ 0.000199340411771047 * vX_[294] + 0.00345708950900075 * vX_[296] + (-0.000829 * vX_[291]) / 0.009277 -
+ 0.038686875 * vX_[306] - -0.00146 * vX_[286] - -0.000829 * vX_[283];
+ vX_[284] = 0.00605 * vX_[287] + 1.5e-05 * vX_[283] + 0.000199340411771047 * vX_[293] +
+ 0.0107369757464698 * vX_[294] + -6.25528861700981e-05 * vX_[296] + (1.5e-05 * vX_[291]) / 0.009277 -
+ 0.000198 * vX_[286] - -0.000829 * (vX_[284] - vX_[288]);
+ vX_[306] = 0.038686875 * vX_[286] + 1.547475 * vX_[306] + -0.038686875 * vX_[293];
+ vX_[293] = vX_[50] * vX_[50];
+ vX_[286] = -0.001243 * vX_[304] + 0.009683 * vX_[305] + vX_[70] * vX_[289] + vX_[68] * vX_[284] +
+ 0.02075 * vX_[306] - -0.012652 * vX_[280] - -0.001387 * (vX_[293] - vX_[282]);
+ vX_[296] = x_in[16] - vX_[286];
+ vX_[294] = (vX_[108] * vX_[296]) / vX_[117];
+ vX_[291] = 0.057838 * vX_[279] + -0.001387 * vX_[280] + -0.012652 * (vX_[281] - vX_[282]) +
+ (0.009277 * vX_[291]) / 0.009277 + vX_[290] + vX_[94] * vX_[285] + vX_[80] * vX_[297] +
+ vX_[119] * vX_[299] + vX_[123] * vX_[300] + vX_[129] * vX_[302] + vX_[136] * vX_[303] + vX_[294] -
+ -0.008386 * vX_[304] - -0.001243 * vX_[305];
+ vX_[290] = vX_[64] * vX_[54] - vX_[55] * vX_[82];
+ vX_[288] = (vX_[122] * vX_[296]) / vX_[117];
+ vX_[305] = -0.018069 * vX_[280] + 0.057838 * vX_[290] + -0.012652 * vX_[305] + vX_[68] * vX_[289] +
+ vX_[67] * vX_[284] + -0.184 * vX_[306] + vX_[123] * vX_[299] + vX_[116] * vX_[300] +
+ vX_[132] * vX_[302] + vX_[72] * vX_[303] + vX_[288] - -0.001387 * vX_[304] -
+ -0.001243 * (vX_[281] - vX_[293]);
+ vX_[281] = (vX_[127] * vX_[296]) / vX_[117];
+ vX_[290] = 0.057838 * vX_[280] + -2.1032 * vX_[290] + vX_[306] + vX_[129] * vX_[299] + vX_[132] * vX_[300] +
+ vX_[91] * vX_[302] + vX_[139] * vX_[303] + vX_[281];
+ vX_[306] = (vX_[134] * vX_[296]) / vX_[117];
+ vX_[304] = 0.057838 * vX_[304] + 2.1032 * vX_[279] + vX_[68] * vX_[285] + vX_[67] * vX_[297] + vX_[136] * vX_[299] +
+ vX_[72] * vX_[300] + vX_[139] * vX_[302] + vX_[62] * vX_[303] + vX_[306];
+ vX_[279] = 0 - vX_[45];
+ vX_[280] = vX_[279] * x_in[9];
+ vX_[287] = vX_[29] * x_in[9];
+ vX_[283] = 0 - vX_[54];
+ vX_[307] = vX_[283] * x_in[9];
+ vX_[308] = vX_[41] * x_in[9];
+ vX_[309] = vX_[37] * vX_[54];
+ vX_[310] = vX_[45] * vX_[36];
+ vX_[311] = vX_[45] * vX_[29];
+ vX_[312] = vX_[45] * vX_[37];
+ vX_[313] = vX_[29] * vX_[29];
+ vX_[314] = 0.160298259823722 * (vX_[309] - vX_[310]) + -0.06337651 * vX_[311] + -0.0022920002 * vX_[312] +
+ vX_[49] * vX_[291] + vX_[63] * vX_[305] + vX_[56] * vX_[290] + vX_[76] * vX_[304] -
+ -0.008711861 * vX_[275] - -0.00021200017 * vX_[276] - 0.0036857284 * (vX_[313] - vX_[278]);
+ vX_[315] = x_in[15] - vX_[314];
+ vX_[316] = (vX_[152] * vX_[315]) / vX_[154];
+ vX_[317] = vX_[45] * vX_[41] - vX_[29] * vX_[54];
+ vX_[318] = 1.52322944854339e-09 * vX_[275] + 0.0036857284 * vX_[276] + -0.00021200017 * (vX_[277] - vX_[278]) +
+ vX_[48] * vX_[291] + vX_[49] * vX_[305] + vX_[57] * vX_[290] + vX_[77] * vX_[304] + vX_[156] * vX_[280] +
+ vX_[158] * vX_[287] + vX_[170] * vX_[307] + vX_[186] * vX_[308] + vX_[316] -
+ 0.160298259823722 * vX_[317] - 0.01404749 * vX_[312] - -0.0022920002 * vX_[311];
+ vX_[319] = (vX_[117] * vX_[296]) / vX_[117];
+ vX_[320] = (-0.00021200017 * vX_[315]) / vX_[154];
+ vX_[286] = -0.008711861 * vX_[317] + 1.52322944854339e-09 * (vX_[310] - vX_[309]) + 0.077424 * vX_[276] +
+ -0.00021200017 * vX_[311] + vX_[319] + vX_[286] + vX_[158] * vX_[280] + vX_[153] * vX_[287] +
+ vX_[182] * vX_[307] + vX_[181] * vX_[308] + vX_[320] - 0.0036857284 * vX_[312] -
+ -0.0022920002 * (vX_[277] - vX_[313]);
+ vX_[321] = (vX_[150] * vX_[315]) / vX_[154];
+ vX_[317] = 1.7423722 * vX_[317] + 0.160298259823722 * vX_[312] + -0.008711861 * vX_[276] + vX_[49] * vX_[290] +
+ vX_[78] * vX_[304] + vX_[39] * vX_[280] + vX_[183] * vX_[287] + vX_[197] * vX_[307] +
+ vX_[199] * vX_[308] + vX_[321] - 1.52322944854339e-09 * (vX_[313] + vX_[278]);
+ vX_[322] = 0 - vX_[23];
+ vX_[323] = vX_[322] * x_in[8];
+ vX_[324] = vX_[18] * x_in[8];
+ vX_[325] = 0 - vX_[35];
+ vX_[326] = vX_[325] * x_in[8];
+ vX_[327] = vX_[16] * x_in[8];
+ vX_[328] = vX_[10] * vX_[35];
+ vX_[329] = vX_[23] * vX_[18];
+ vX_[330] = vX_[23] * vX_[10];
+ vX_[331] = vX_[18] * vX_[18];
+ vX_[332] = -0.0055615274403 * vX_[328] + 0.00750500000000001 * vX_[329] + -0.0037997814 * vX_[330] +
+ vX_[28] * vX_[318] + vX_[26] * vX_[286] - 0.01438086 * vX_[271] - -0.011715295 * vX_[272] -
+ 5.399998e-05 * (vX_[331] - vX_[274]);
+ vX_[333] = x_in[14] - vX_[332];
+ vX_[334] = (vX_[221] * vX_[333]) / vX_[223];
+ vX_[335] = vX_[23] * vX_[16] - vX_[18] * vX_[35];
+ vX_[336] = 0.647967112 * vX_[271] + 5.399998e-05 * vX_[272] + -0.011715295 * (vX_[273] - vX_[274]) +
+ vX_[26] * vX_[318] + vX_[27] * vX_[286] + -0.304 * vX_[317] + vX_[225] * vX_[323] + vX_[235] * vX_[324] +
+ vX_[247] * vX_[326] + vX_[256] * vX_[327] + vX_[334] - -0.0055615274403 * vX_[335] -
+ -0.192033951 * vX_[330] - -0.0037997814 * vX_[329];
+ vX_[328] = 0 - vX_[328];
+ vX_[337] = (vX_[168] * vX_[315]) / vX_[154];
+ vX_[310] = -1.7423722 * (vX_[310] - vX_[309]) + 0.160298259823722 * vX_[311] + 1.52322944854339e-09 * vX_[276] +
+ vX_[48] * vX_[290] + vX_[49] * vX_[304] + vX_[170] * vX_[280] + vX_[182] * vX_[287] +
+ vX_[202] * vX_[307] + vX_[206] * vX_[308] + vX_[337] - -0.008711861 * (vX_[277] + vX_[278]);
+ vX_[309] = (vX_[172] * vX_[296]) / vX_[117];
+ vX_[278] = (vX_[184] * vX_[315]) / vX_[154];
+ vX_[313] = 1.7423722 * vX_[275] + 1.52322944854339e-09 * vX_[312] + -0.008711861 * vX_[311] +
+ 2.1032 * (vX_[64] * vX_[59] - vX_[50] * vX_[82]) + vX_[84] * vX_[285] + vX_[68] * vX_[297] +
+ vX_[174] * vX_[299] + vX_[179] * vX_[300] + vX_[178] * vX_[302] + vX_[175] * vX_[303] + vX_[309] +
+ vX_[186] * vX_[280] + vX_[181] * vX_[287] + vX_[206] * vX_[307] + vX_[204] * vX_[308] + vX_[278] -
+ 0.160298259823722 * (vX_[277] + vX_[313]) - 0.057838 * (vX_[293] + vX_[282]);
+ vX_[312] = (vX_[154] * vX_[315]) / vX_[154];
+ vX_[311] = (vX_[234] * vX_[333]) / vX_[223];
+ vX_[335] = 0.01438086 * vX_[335] + 0.647967112 * vX_[328] + -0.199538951 * vX_[272] + -0.011715295 * vX_[329] +
+ vX_[38] * vX_[310] + vX_[51] * vX_[313] + -1 * (vX_[314] + vX_[312]) + vX_[235] * vX_[323] +
+ vX_[222] * vX_[324] + vX_[252] * vX_[326] + vX_[209] * vX_[327] + vX_[311] - 5.399998e-05 * vX_[330] -
+ -0.0037997814 * (vX_[273] - vX_[331]);
+ vX_[314] = (vX_[245] * vX_[333]) / vX_[223];
+ vX_[328] = -2.327 * vX_[328] + -0.0055615274403 * vX_[329] + 0.647967112 * vX_[272] + vX_[26] * vX_[310] +
+ vX_[27] * vX_[313] + vX_[247] * vX_[323] + vX_[252] * vX_[324] + vX_[66] * vX_[326] +
+ vX_[58] * vX_[327] + vX_[314] - 0.01438086 * (vX_[273] + vX_[274]);
+ vX_[274] = (vX_[254] * vX_[333]) / vX_[223];
+ vX_[331] = 2.327 * vX_[271] + 0.647967112 * vX_[330] + 0.01438086 * vX_[329] + -1 * vX_[317] + vX_[256] * vX_[323] +
+ vX_[209] * vX_[324] + vX_[58] * vX_[326] + vX_[79] * vX_[327] + vX_[274] -
+ -0.0055615274403 * (vX_[273] + vX_[331]);
+ vX_[330] = 0 - vX_[5];
+ vX_[329] = vX_[330] * x_in[7];
+ vX_[317] = vX_[14] * vX_[14];
+ vX_[273] = vX_[5] * x_in[7];
+ vX_[271] = vX_[5] * vX_[14];
+ vX_[272] = -0.022851627 * vX_[268] + 0.0055279857 * (vX_[317] - vX_[270]) + x_in[13] - -0.002752 * vX_[273] -
+ 0.046852534 * vX_[271] - vX_[11] * vX_[336] - vX_[22] * vX_[335] - vX_[15] * vX_[328] -
+ vX_[34] * vX_[331];
+ vX_[293] = (vX_[43] * vX_[272]) / vX_[24];
+ vX_[270] = 0.0055279857 * vX_[268] + -0.022851627 * (vX_[269] - vX_[270]) + vX_[9] * vX_[336] + vX_[11] * vX_[335] +
+ vX_[12] * vX_[328] + vX_[30] * vX_[331] + vX_[13] * vX_[329] + vX_[265] * vX_[268] + vX_[293] -
+ 0.012390532 * vX_[273] - -0.002752 * vX_[271];
+ vX_[282] = -0.022851627 / vX_[24];
+ vX_[100] = 0.039002996 + vX_[188] + vX_[21] - vX_[74] - vX_[100] - -0.022851627 * vX_[282];
+ vX_[74] = (vX_[223] * vX_[333]) / vX_[223];
+ vX_[277] = (-0.022851627 * vX_[272]) / vX_[24];
+ vX_[271] = -0.034462002 * vX_[268] + -0.022851627 * vX_[271] + vX_[74] + vX_[332] + vX_[265] * vX_[329] +
+ vX_[100] * vX_[268] + vX_[277] - 0.0055279857 * vX_[273] - -0.002752 * (vX_[269] - vX_[317]);
+ vX_[227] = vX_[243] * vX_[28] + vX_[244] * vX_[26] + vX_[227];
+ vX_[273] = vX_[227] / vX_[223];
+ vX_[317] = 0 - vX_[26] * vX_[199] - vX_[27] * vX_[65] - vX_[254] * vX_[273];
+ vX_[332] = 0.0055615274403 + vX_[239] * vX_[28] + vX_[242] * vX_[26] - vX_[259] * vX_[317] - vX_[221] * vX_[273];
+ vX_[269] = vX_[189] * vX_[26] + vX_[32] * vX_[27] - vX_[245] * vX_[273];
+ vX_[253] =
+ 0.01438086 + vX_[249] * vX_[28] + vX_[219] * vX_[26] + vX_[253] + vX_[259] * vX_[269] - vX_[234] * vX_[273];
+ vX_[275] = vX_[11] * vX_[253];
+ vX_[276] = -1 * 0.178 * vX_[0];
+ vX_[258] = 2.327 + vX_[203] + vX_[258] - vX_[227] * vX_[273];
+ vX_[338] = vX_[66] - vX_[258];
+ vX_[339] = vX_[22] * vX_[58] + vX_[11] * vX_[338];
+ vX_[340] = vX_[79] - vX_[258];
+ vX_[341] = vX_[11] * vX_[58];
+ vX_[342] = vX_[22] * vX_[340] + vX_[341];
+ vX_[343] = vX_[52] + vX_[252];
+ vX_[344] = vX_[247] - vX_[17];
+ vX_[345] = vX_[22] * vX_[343] + vX_[11] * vX_[344];
+ vX_[346] = vX_[17] + vX_[209];
+ vX_[347] = vX_[42] + vX_[256];
+ vX_[348] = vX_[22] * vX_[346] + vX_[11] * vX_[347];
+ vX_[349] = 0.293374233908935 + vX_[345] * vX_[9] + vX_[348] * vX_[11];
+ vX_[350] = vX_[348] * vX_[22] + vX_[345] * vX_[11];
+ vX_[351] = vX_[350] / vX_[24];
+ vX_[352] = vX_[339] * vX_[9] + vX_[342] * vX_[11] - vX_[349] * vX_[351];
+ vX_[353] = 0 - vX_[332];
+ vX_[354] = vX_[22] * vX_[353] + vX_[275];
+ vX_[355] = vX_[349] / vX_[24];
+ vX_[275] =
+ -0.0099341499912 + vX_[332] * vX_[9] + vX_[275] - vX_[276] * vX_[352] - vX_[354] - -0.022851627 * vX_[355];
+ vX_[356] = vX_[11] * vX_[343] + vX_[9] * vX_[344];
+ vX_[357] = vX_[11] * vX_[346] + vX_[9] * vX_[347];
+ vX_[358] = 0.178 * (0 - vX_[4]);
+ vX_[359] = vX_[358] * vX_[352];
+ vX_[360] = 0 - vX_[269];
+ vX_[361] = vX_[11] * vX_[353] + vX_[9] * vX_[253];
+ vX_[362] = 0.0606159433962 - vX_[361];
+ vX_[363] = 0 - vX_[9] * vX_[317] - vX_[11] * vX_[360] - vX_[362] * vX_[351];
+ vX_[364] = vX_[276] * vX_[363];
+ vX_[365] = vX_[364] - vX_[359];
+ vX_[359] = vX_[356] * vX_[9] + vX_[357] * vX_[11] + vX_[359] - vX_[43] * vX_[355] - vX_[365];
+ vX_[366] = vX_[4] * vX_[275] + vX_[0] * vX_[359];
+ vX_[367] = -1 * 0.178 * vX_[1];
+ vX_[368] = 0.178 * (-vX_[6]);
+ vX_[369] = vX_[368] * vX_[352];
+ vX_[370] = vX_[367] * vX_[363];
+ vX_[371] = vX_[370] - vX_[369];
+ vX_[372] = vX_[362] / vX_[24];
+ vX_[364] = 0 - vX_[364] - -0.022851627 * vX_[372] - vX_[365];
+ vX_[354] = 0.0099341499912 + vX_[354] + vX_[358] * vX_[363] - vX_[43] * vX_[372];
+ vX_[373] = vX_[4] * vX_[364] + vX_[0] * vX_[354];
+ vX_[361] = -0.0606159433962 + vX_[332] * vX_[11] + vX_[253] * vX_[22] + vX_[361] - -0.022851627 * vX_[351];
+ vX_[374] = vX_[342] * vX_[22] + vX_[339] * vX_[11];
+ vX_[375] = 2.5924191 + vX_[258] + vX_[374] - vX_[350] * vX_[351];
+ vX_[376] = 0 - vX_[276] * vX_[375];
+ vX_[377] = -0.293374233908935 + vX_[356] * vX_[11] + vX_[357] * vX_[22] - vX_[43] * vX_[351];
+ vX_[378] = vX_[265] + vX_[361] * vX_[358] + vX_[376] * vX_[358] - vX_[377] * vX_[276];
+ vX_[379] = 2. * vX_[377];
+ vX_[380] = vX_[358] * vX_[375];
+ vX_[381] = vX_[11] * vX_[340] + vX_[9] * vX_[58];
+ vX_[341] = vX_[341] + vX_[9] * vX_[338];
+ vX_[382] = vX_[381] * vX_[11] + vX_[341] * vX_[9];
+ vX_[374] = 2.5924191 + vX_[338] + vX_[340] + vX_[258] - vX_[382] - vX_[374] - vX_[362] * vX_[372];
+ vX_[383] = vX_[11] * vX_[317] + vX_[22] * vX_[360] - vX_[362] * vX_[355];
+ vX_[384] = vX_[276] * vX_[374] - vX_[358] * vX_[383];
+ vX_[382] = 2.5924191 + vX_[258] + vX_[382] - vX_[349] * vX_[355];
+ vX_[258] = vX_[276] * vX_[383] - vX_[358] * vX_[382];
+ vX_[385] = vX_[384] * vX_[276] - vX_[258] * vX_[358];
+ vX_[386] = vX_[379] * vX_[358] + vX_[13] + vX_[380] * vX_[358] - vX_[385];
+ vX_[387] = vX_[4] * vX_[378] + vX_[0] * vX_[386];
+ vX_[388] = 2. * vX_[361];
+ vX_[389] = vX_[100] - vX_[388] * vX_[276] - vX_[376] * vX_[276] - vX_[385];
+ vX_[390] = vX_[4] * vX_[389] + vX_[0] * vX_[378];
+ vX_[385] = 0.007629 + vX_[387] * vX_[0] + vX_[390] * vX_[4] + vX_[385];
+ vX_[365] =
+ (x_in[12] - vX_[0] * vX_[270] - vX_[4] * vX_[271] - 9.81 * (vX_[366] * vX_[0] + vX_[373] * vX_[4] + vX_[365])) /
+ vX_[385];
+ vX_[391] = -vX_[367] * vX_[375];
+ vX_[377] = vX_[361] * vX_[368] + vX_[376] * vX_[368] + vX_[391] * vX_[358] - vX_[377] * vX_[367];
+ vX_[258] = vX_[384] * vX_[367] + (vX_[367] * vX_[374] - vX_[368] * vX_[383]) * vX_[276] -
+ (vX_[258] * vX_[368] + (vX_[367] * vX_[383] - vX_[368] * vX_[382]) * vX_[358]);
+ jac[18] =
+ (0 -
+ (vX_[0] * (0.0055279857 * vX_[3] + -0.022851627 * (0 - vX_[8]) + vX_[9] * vX_[90] + vX_[11] * vX_[31] +
+ vX_[12] * vX_[190] + vX_[30] * vX_[261] + vX_[13] * vX_[264] + vX_[265] * vX_[3] +
+ (vX_[43] * vX_[2]) / vX_[24] - 0.012390532 * vX_[267] - -0.002752 * vX_[7]) +
+ vX_[1] * vX_[270]) -
+ (vX_[4] * (-0.034462002 * vX_[3] + -0.022851627 * vX_[7] + (vX_[223] * vX_[263]) / vX_[223] + vX_[262] +
+ vX_[265] * vX_[264] + vX_[100] * vX_[3] + (-0.022851627 * vX_[2]) / vX_[24] -
+ 0.0055279857 * vX_[267] - -0.002752 * (0 - vX_[266])) +
+ vX_[6] * vX_[271]) -
+ 9.81 * (vX_[366] * vX_[1] +
+ (vX_[4] * (0 - vX_[367] * vX_[352]) + vX_[6] * vX_[275] + vX_[0] * (vX_[369] - vX_[371]) +
+ vX_[1] * vX_[359]) *
+ vX_[0] +
+ vX_[373] * vX_[6] +
+ (vX_[4] * (0 - vX_[370] - vX_[371]) + vX_[6] * vX_[364] + vX_[0] * vX_[368] * vX_[363] +
+ vX_[1] * vX_[354]) *
+ vX_[4] +
+ vX_[371]) -
+ vX_[365] *
+ (vX_[387] * vX_[1] +
+ (vX_[4] * vX_[377] + vX_[6] * vX_[378] +
+ vX_[0] *
+ (vX_[379] * vX_[368] + vX_[380] * vX_[368] + vX_[368] * vX_[375] * vX_[358] - vX_[258]) +
+ vX_[1] * vX_[386]) *
+ vX_[0] +
+ vX_[390] * vX_[6] +
+ (vX_[4] * (0 - vX_[388] * vX_[367] - (vX_[376] * vX_[367] + vX_[391] * vX_[276]) - vX_[258]) +
+ vX_[6] * vX_[389] + vX_[0] * vX_[377] + vX_[1] * vX_[378]) *
+ vX_[4] +
+ vX_[258])) /
+ vX_[385];
+ vX_[264] = vX_[0] * jac[18] + vX_[1] * vX_[365] + vX_[264];
+ vX_[3] = vX_[4] * jac[18] + vX_[6] * vX_[365] + vX_[3];
+ vX_[1] = 9.81 * vX_[1];
+ vX_[6] = 9.81 * vX_[6];
+ jac[19] = (vX_[2] - vX_[43] * vX_[264] - -0.022851627 * vX_[3] - vX_[349] * vX_[1] - vX_[362] * vX_[6]) / vX_[24];
+ vX_[226] = vX_[11] * jac[19] + vX_[9] * vX_[264] + vX_[226];
+ vX_[236] = vX_[22] * jac[19] + vX_[11] * vX_[264] + vX_[236];
+ vX_[248] = vX_[15] * jac[19] + vX_[12] * vX_[264] + vX_[9] * vX_[1] + vX_[248];
+ vX_[1] = vX_[34] * jac[19] + vX_[30] * vX_[264] + vX_[11] * vX_[1] + vX_[257];
+ jac[20] = (vX_[263] - vX_[223] * vX_[3] - vX_[221] * vX_[226] - vX_[234] * vX_[236] - vX_[227] * vX_[6] -
+ vX_[245] * vX_[248] - vX_[254] * vX_[1]) /
+ vX_[223];
+ vX_[263] = -1 * vX_[236];
+ vX_[3] = vX_[3] + jac[20];
+ vX_[157] = vX_[28] * vX_[3] + vX_[26] * vX_[226] + vX_[157];
+ vX_[3] = vX_[26] * vX_[3] + vX_[27] * vX_[226] + vX_[159];
+ vX_[1] = -0.304 * vX_[226] + -1 * vX_[1];
+ vX_[226] = 0 - vX_[27];
+ vX_[171] = vX_[226] * vX_[6] + vX_[26] * vX_[248] + vX_[38] * vX_[236] + vX_[171];
+ vX_[248] = vX_[26] * vX_[6] + vX_[27] * vX_[248] + vX_[51] * vX_[236] + vX_[187];
+ jac[21] = (vX_[192] - vX_[154] * vX_[263] - vX_[152] * vX_[157] - -0.00021200017 * vX_[3] - vX_[150] * vX_[1] -
+ vX_[168] * vX_[171] - vX_[184] * vX_[248]) /
+ vX_[154];
+ vX_[263] = vX_[263] + jac[21];
+ vX_[120] = vX_[49] * vX_[263] + vX_[48] * vX_[157] + vX_[120];
+ vX_[124] = vX_[63] * vX_[263] + vX_[49] * vX_[157] + vX_[124];
+ vX_[137] = vX_[76] * vX_[263] + vX_[77] * vX_[157] + vX_[78] * vX_[1] + vX_[49] * vX_[171] + vX_[137];
+ jac[22] =
+ (vX_[89] - vX_[117] * vX_[3] - vX_[108] * vX_[120] - vX_[122] * vX_[124] - vX_[172] * vX_[248] -
+ vX_[127] * (vX_[56] * vX_[263] + vX_[57] * vX_[157] + vX_[49] * vX_[1] + vX_[48] * vX_[171] + vX_[130]) -
+ vX_[134] * vX_[137]) /
+ vX_[117];
+ vX_[3] = vX_[3] + jac[22];
+ jac[23] = (vX_[93] - 0.009277 * vX_[120] - -0.000829 * (vX_[70] * vX_[3] + vX_[68] * vX_[124] + vX_[95]) -
+ 1.5e-05 * (vX_[68] * vX_[3] + vX_[67] * vX_[124] + vX_[96]) -
+ 0.038686875 * (vX_[84] * vX_[248] + vX_[68] * vX_[137] + vX_[94] * vX_[120] + vX_[97])) /
+ 0.009277;
+ vX_[3] = cos(x_in[2]);
+ vX_[137] = -0.112 * vX_[3];
+ vX_[124] = -1 * sin(x_in[2]);
+ vX_[120] = 0.112 * vX_[124];
+ vX_[248] = vX_[137] * vX_[14] + vX_[120] * x_in[7];
+ vX_[97] = -vX_[10] * vX_[248];
+ vX_[96] = vX_[124] * vX_[14] + vX_[3] * x_in[7];
+ vX_[95] = vX_[96] * vX_[10];
+ vX_[93] = -vX_[124];
+ vX_[263] = vX_[3] * vX_[14] + vX_[93] * x_in[7];
+ vX_[171] = vX_[23] * vX_[263] + vX_[263] * vX_[23];
+ vX_[1] = 0.112 * vX_[124];
+ vX_[157] = 0.112 * vX_[3];
+ vX_[89] = vX_[1] * vX_[14] + vX_[157] * x_in[7];
+ vX_[130] = -0.304 * vX_[96] + -1 * vX_[89];
+ vX_[192] = vX_[26] * vX_[96];
+ vX_[236] = vX_[38] * vX_[263] + vX_[26] * vX_[248];
+ vX_[6] = -1 * vX_[263];
+ vX_[187] = vX_[29] * vX_[130] + vX_[192] * vX_[36] - (vX_[37] * vX_[236] + vX_[6] * vX_[41]);
+ vX_[159] = vX_[29] * vX_[6] + vX_[192] * vX_[37];
+ vX_[264] = vX_[37] * vX_[6] + vX_[6] * vX_[37];
+ vX_[257] = vX_[27] * vX_[96];
+ vX_[2] = vX_[45] * vX_[257] + vX_[257] * vX_[45];
+ vX_[258] = vX_[51] * vX_[263] + vX_[27] * vX_[248];
+ vX_[377] = vX_[48] * vX_[192] + vX_[49] * vX_[6];
+ vX_[391] = vX_[56] * vX_[6] + vX_[57] * vX_[192] + vX_[49] * vX_[130] + vX_[48] * vX_[236];
+ vX_[390] = vX_[50] * vX_[258] + vX_[377] * vX_[54] - (vX_[55] * vX_[391] + vX_[257] * vX_[59]);
+ vX_[389] = vX_[50] * vX_[257] + vX_[377] * vX_[55];
+ vX_[388] = vX_[55] * vX_[257] + vX_[257] * vX_[55];
+ vX_[387] = vX_[49] * vX_[192] + vX_[63] * vX_[6];
+ vX_[386] = vX_[64] * vX_[387] + vX_[387] * vX_[64];
+ vX_[380] = vX_[68] * vX_[387] + vX_[70] * vX_[257];
+ vX_[379] = vX_[67] * vX_[387] + vX_[68] * vX_[257];
+ vX_[378] = vX_[69] * vX_[380] + vX_[379] * vX_[73];
+ vX_[376] = vX_[76] * vX_[6] + vX_[77] * vX_[192] + vX_[78] * vX_[130] + vX_[49] * vX_[236];
+ vX_[375] = vX_[68] * vX_[258] + vX_[67] * vX_[376] + vX_[80] * vX_[377];
+ vX_[373] = vX_[75] * vX_[375] + vX_[377] * vX_[83];
+ vX_[354] = 0.02075 * vX_[257] + -0.184 * vX_[387] + vX_[391];
+ vX_[364] = vX_[69] * vX_[354] + vX_[379] * vX_[86];
+ vX_[371] = vX_[69] * vX_[377] + vX_[379] * vX_[75];
+ vX_[370] = vX_[73] * vX_[377] + vX_[380] * vX_[75];
+ vX_[369] = vX_[73] * vX_[380] + vX_[380] * vX_[73];
+ vX_[368] = vX_[69] * vX_[379] + vX_[379] * vX_[69];
+ vX_[367] = -0.00751 * vX_[378] + 0.038686875 * (vX_[373] - vX_[364]) + -0.000829 * vX_[371] - 1.5e-05 * vX_[370] -
+ 0.000198 * (vX_[369] - vX_[368]);
+ vX_[366] = 0 - vX_[367];
+ vX_[359] = (-vX_[379]) * x_in[11];
+ vX_[363] = vX_[380] * x_in[11];
+ vX_[275] = (-vX_[375]) * x_in[11];
+ vX_[364] = 0.038686875 * vX_[378] + -1.547475 * (vX_[364] - vX_[373]) + 0.00345708950900075 * vX_[359] +
+ -6.25528861700981e-05 * vX_[363] + 1.38614328745655 * vX_[275] + (0.038686875 * vX_[366]) / 0.009277;
+ vX_[373] = vX_[84] * vX_[258] + vX_[68] * vX_[376] + vX_[94] * vX_[377];
+ vX_[352] = vX_[75] * vX_[377] + vX_[377] * vX_[75];
+ vX_[354] = 1.547475 * (vX_[73] * vX_[354] + vX_[380] * vX_[86] - (vX_[75] * vX_[373] + vX_[377] * vX_[99])) +
+ 1.547475 * vX_[373] * x_in[11] - 0.038686875 * (vX_[352] + vX_[369]);
+ vX_[271] = (-vX_[387]) * x_in[10];
+ vX_[270] = vX_[377] * x_in[10];
+ vX_[7] = (-vX_[376]) * x_in[10];
+ vX_[267] = vX_[391] * x_in[10];
+ vX_[266] = vX_[64] * vX_[257] + vX_[387] * vX_[55];
+ vX_[261] = vX_[64] * vX_[377] + vX_[387] * vX_[50];
+ vX_[373] = vX_[69] * vX_[373] + vX_[379] * vX_[99] - (vX_[73] * vX_[375] + vX_[380] * vX_[83]);
+ vX_[368] = 0.000198 * vX_[370] + 1.5e-05 * (vX_[352] - vX_[368]) + 0.00315291990945349 * vX_[359] +
+ 0.000199340411771047 * vX_[363] + 0.00345708950900075 * vX_[275] + (-0.000829 * vX_[366]) / 0.009277 -
+ 0.038686875 * vX_[373] - -0.00146 * vX_[371] - -0.000829 * vX_[378];
+ vX_[352] = 0.00605 * vX_[370] + 1.5e-05 * vX_[378] + 0.000199340411771047 * vX_[359] +
+ 0.0107369757464698 * vX_[363] + -6.25528861700981e-05 * vX_[275] + (1.5e-05 * vX_[366]) / 0.009277 -
+ 0.000198 * vX_[371] - -0.000829 * (vX_[352] - vX_[369]);
+ vX_[373] = 0.038686875 * vX_[371] + 1.547475 * vX_[373] + -0.038686875 * vX_[359];
+ vX_[371] = vX_[50] * vX_[377] + vX_[377] * vX_[50];
+ vX_[369] = -0.001243 * vX_[266] + 0.009683 * vX_[261] + vX_[70] * vX_[368] + vX_[68] * vX_[352] +
+ 0.02075 * vX_[373] - -0.012652 * vX_[389] - -0.001387 * (vX_[371] - vX_[386]);
+ vX_[370] = 0 - vX_[369];
+ vX_[367] = 0.057838 * vX_[390] + -0.001387 * vX_[389] + -0.012652 * (vX_[388] - vX_[386]) +
+ (0.009277 * vX_[366]) / 0.009277 + vX_[367] + vX_[94] * vX_[364] + vX_[80] * vX_[354] +
+ vX_[119] * vX_[271] + vX_[123] * vX_[270] + vX_[129] * vX_[7] + vX_[136] * vX_[267] +
+ (vX_[108] * vX_[370]) / vX_[117] - -0.008386 * vX_[266] - -0.001243 * vX_[261];
+ vX_[378] = vX_[64] * vX_[258] + vX_[387] * vX_[54] - (vX_[55] * vX_[376] + vX_[257] * vX_[82]);
+ vX_[352] = -0.018069 * vX_[389] + 0.057838 * vX_[378] + -0.012652 * vX_[261] + vX_[68] * vX_[368] +
+ vX_[67] * vX_[352] + -0.184 * vX_[373] + vX_[123] * vX_[271] + vX_[116] * vX_[270] + vX_[132] * vX_[7] +
+ vX_[72] * vX_[267] + (vX_[122] * vX_[370]) / vX_[117] - -0.001387 * vX_[266] -
+ -0.001243 * (vX_[388] - vX_[371]);
+ vX_[378] = 0.057838 * vX_[389] + -2.1032 * vX_[378] + vX_[373] + vX_[129] * vX_[271] + vX_[132] * vX_[270] +
+ vX_[91] * vX_[7] + vX_[139] * vX_[267] + (vX_[127] * vX_[370]) / vX_[117];
+ vX_[266] = 0.057838 * vX_[266] + 2.1032 * vX_[390] + vX_[68] * vX_[364] + vX_[67] * vX_[354] + vX_[136] * vX_[271] +
+ vX_[72] * vX_[270] + vX_[139] * vX_[7] + vX_[62] * vX_[267] + (vX_[134] * vX_[370]) / vX_[117];
+ vX_[390] = (-vX_[257]) * x_in[9];
+ vX_[373] = vX_[192] * x_in[9];
+ vX_[389] = (-vX_[258]) * x_in[9];
+ vX_[368] = vX_[236] * x_in[9];
+ vX_[261] = vX_[37] * vX_[258] + vX_[6] * vX_[54];
+ vX_[130] = vX_[45] * vX_[130] + vX_[257] * vX_[36];
+ vX_[388] = vX_[45] * vX_[192] + vX_[257] * vX_[29];
+ vX_[6] = vX_[45] * vX_[6] + vX_[257] * vX_[37];
+ vX_[375] = vX_[29] * vX_[192] + vX_[192] * vX_[29];
+ vX_[379] = 0.160298259823722 * (vX_[261] - vX_[130]) + -0.06337651 * vX_[388] + -0.0022920002 * vX_[6] +
+ vX_[49] * vX_[367] + vX_[63] * vX_[352] + vX_[56] * vX_[378] + vX_[76] * vX_[266] -
+ -0.008711861 * vX_[187] - -0.00021200017 * vX_[159] - 0.0036857284 * (vX_[375] - vX_[2]);
+ vX_[380] = 0 - vX_[379];
+ vX_[258] = vX_[45] * vX_[236] + vX_[257] * vX_[41] - (vX_[29] * vX_[258] + vX_[192] * vX_[54]);
+ vX_[352] = 1.52322944854339e-09 * vX_[187] + 0.0036857284 * vX_[159] + -0.00021200017 * (vX_[264] - vX_[2]) +
+ vX_[48] * vX_[367] + vX_[49] * vX_[352] + vX_[57] * vX_[378] + vX_[77] * vX_[266] + vX_[156] * vX_[390] +
+ vX_[158] * vX_[373] + vX_[170] * vX_[389] + vX_[186] * vX_[368] + (vX_[152] * vX_[380]) / vX_[154] -
+ 0.160298259823722 * vX_[258] - 0.01404749 * vX_[6] - -0.0022920002 * vX_[388];
+ vX_[369] = -0.008711861 * vX_[258] + 1.52322944854339e-09 * (vX_[130] - vX_[261]) + 0.077424 * vX_[159] +
+ -0.00021200017 * vX_[388] + (vX_[117] * vX_[370]) / vX_[117] + vX_[369] + vX_[158] * vX_[390] +
+ vX_[153] * vX_[373] + vX_[182] * vX_[389] + vX_[181] * vX_[368] +
+ (-0.00021200017 * vX_[380]) / vX_[154] - 0.0036857284 * vX_[6] - -0.0022920002 * (vX_[264] - vX_[375]);
+ vX_[258] = 1.7423722 * vX_[258] + 0.160298259823722 * vX_[6] + -0.008711861 * vX_[159] + vX_[49] * vX_[378] +
+ vX_[78] * vX_[266] + vX_[39] * vX_[390] + vX_[183] * vX_[373] + vX_[197] * vX_[389] +
+ vX_[199] * vX_[368] + (vX_[150] * vX_[380]) / vX_[154] - 1.52322944854339e-09 * (vX_[375] + vX_[2]);
+ vX_[367] = (-vX_[263]) * x_in[8];
+ vX_[257] = vX_[96] * x_in[8];
+ vX_[236] = (-vX_[89]) * x_in[8];
+ vX_[192] = vX_[248] * x_in[8];
+ vX_[190] = vX_[10] * vX_[89];
+ vX_[31] = vX_[23] * vX_[96] + vX_[263] * vX_[18];
+ vX_[90] = vX_[263] * vX_[10];
+ vX_[262] = vX_[18] * vX_[96] + vX_[96] * vX_[18];
+ vX_[8] = -0.0055615274403 * vX_[190] + 0.00750500000000001 * vX_[31] + -0.0037997814 * vX_[90] +
+ vX_[28] * vX_[352] + vX_[26] * vX_[369] - 0.01438086 * vX_[97] - -0.011715295 * vX_[95] -
+ 5.399998e-05 * (vX_[262] - vX_[171]);
+ vX_[382] = 0 - vX_[8];
+ vX_[89] = vX_[23] * vX_[248] + vX_[263] * vX_[16] - (vX_[18] * vX_[89] + vX_[96] * vX_[35]);
+ vX_[369] = 0.647967112 * vX_[97] + 5.399998e-05 * vX_[95] + -0.011715295 * (0 - vX_[171]) + vX_[26] * vX_[352] +
+ vX_[27] * vX_[369] + -0.304 * vX_[258] + vX_[225] * vX_[367] + vX_[235] * vX_[257] +
+ vX_[247] * vX_[236] + vX_[256] * vX_[192] + (vX_[221] * vX_[382]) / vX_[223] -
+ -0.0055615274403 * vX_[89] - -0.192033951 * vX_[90] - -0.0037997814 * vX_[31];
+ vX_[190] = -vX_[190];
+ vX_[130] = -1.7423722 * (vX_[130] - vX_[261]) + 0.160298259823722 * vX_[388] + 1.52322944854339e-09 * vX_[159] +
+ vX_[48] * vX_[378] + vX_[49] * vX_[266] + vX_[170] * vX_[390] + vX_[182] * vX_[373] +
+ vX_[202] * vX_[389] + vX_[206] * vX_[368] + (vX_[168] * vX_[380]) / vX_[154] -
+ -0.008711861 * (vX_[264] + vX_[2]);
+ vX_[375] = 1.7423722 * vX_[187] + 1.52322944854339e-09 * vX_[6] + -0.008711861 * vX_[388] +
+ 2.1032 * (vX_[64] * vX_[391] + vX_[387] * vX_[59] - (vX_[50] * vX_[376] + vX_[377] * vX_[82])) +
+ vX_[84] * vX_[364] + vX_[68] * vX_[354] + vX_[174] * vX_[271] + vX_[179] * vX_[270] + vX_[178] * vX_[7] +
+ vX_[175] * vX_[267] + (vX_[172] * vX_[370]) / vX_[117] + vX_[186] * vX_[390] + vX_[181] * vX_[373] +
+ vX_[206] * vX_[389] + vX_[204] * vX_[368] + (vX_[184] * vX_[380]) / vX_[154] -
+ 0.160298259823722 * (vX_[264] + vX_[375]) - 0.057838 * (vX_[371] + vX_[386]);
+ vX_[89] = 0.01438086 * vX_[89] + 0.647967112 * vX_[190] + -0.199538951 * vX_[95] + -0.011715295 * vX_[31] +
+ vX_[38] * vX_[130] + vX_[51] * vX_[375] + -1 * (vX_[379] + (vX_[154] * vX_[380]) / vX_[154]) +
+ vX_[235] * vX_[367] + vX_[222] * vX_[257] + vX_[252] * vX_[236] + vX_[209] * vX_[192] +
+ (vX_[234] * vX_[382]) / vX_[223] - 5.399998e-05 * vX_[90] - -0.0037997814 * (0 - vX_[262]);
+ vX_[375] = -2.327 * vX_[190] + -0.0055615274403 * vX_[31] + 0.647967112 * vX_[95] + vX_[26] * vX_[130] +
+ vX_[27] * vX_[375] + vX_[247] * vX_[367] + vX_[252] * vX_[257] + vX_[66] * vX_[236] +
+ vX_[58] * vX_[192] + (vX_[245] * vX_[382]) / vX_[223] - 0.01438086 * vX_[171];
+ vX_[262] = 2.327 * vX_[97] + 0.647967112 * vX_[90] + 0.01438086 * vX_[31] + -1 * vX_[258] + vX_[256] * vX_[367] +
+ vX_[209] * vX_[257] + vX_[58] * vX_[236] + vX_[79] * vX_[192] + (vX_[254] * vX_[382]) / vX_[223] -
+ -0.0055615274403 * vX_[262];
+ vX_[90] = vX_[11] * vX_[137] + vX_[3] * vX_[12] + vX_[22] * vX_[120] + vX_[93] * vX_[15];
+ vX_[31] = vX_[90] * vX_[66];
+ vX_[52] = vX_[260] * vX_[90] + vX_[52] * vX_[90] + vX_[31] * vX_[259];
+ vX_[260] = vX_[90] * vX_[58];
+ vX_[17] = vX_[247] * vX_[90] - vX_[209] * vX_[90] - (vX_[17] * vX_[90] + vX_[260] * vX_[259]);
+ vX_[258] = vX_[11] * vX_[17] + vX_[3] * vX_[25];
+ vX_[97] = -vX_[90] * vX_[79];
+ vX_[42] = 0 - vX_[44] * vX_[90] - (vX_[42] * vX_[90] + vX_[97] * vX_[259]);
+ vX_[138] = vX_[20] * vX_[3] +
+ (vX_[11] * vX_[52] + vX_[3] * vX_[21] + vX_[9] * vX_[17] + vX_[124] * vX_[25]) * vX_[11] +
+ vX_[138] * vX_[124] + (vX_[258] + vX_[9] * vX_[42] + vX_[124] * vX_[188]) * vX_[9];
+ vX_[17] = vX_[22] * vX_[17] + vX_[93] * vX_[25] + vX_[11] * vX_[42] + vX_[3] * vX_[188];
+ vX_[258] = vX_[22] * vX_[52] + vX_[93] * vX_[21] + vX_[258];
+ vX_[21] = vX_[47] * vX_[124] + vX_[17] * vX_[9] + vX_[53] * vX_[3] + vX_[258] * vX_[11];
+ vX_[258] = vX_[53] * vX_[93] + vX_[258] * vX_[22] + vX_[47] * vX_[3] + vX_[17] * vX_[11];
+ vX_[17] = (vX_[21] - vX_[19] * vX_[258]) / vX_[24];
+ vX_[53] = vX_[138] - (vX_[43] * vX_[17] + vX_[21] * vX_[19]);
+ vX_[17] = - -0.022851627 * vX_[17];
+ vX_[47] = 0 - (vX_[11] * vX_[369] + vX_[3] * vX_[336]) - (vX_[22] * vX_[89] + vX_[93] * vX_[335]) -
+ (vX_[15] * vX_[375] + vX_[120] * vX_[328]) - (vX_[34] * vX_[262] + vX_[157] * vX_[331]);
+ vX_[138] = vX_[42] + vX_[52] - vX_[138] - vX_[258] - -0.022851627 * ((-vX_[282]) * vX_[258]) / vX_[24];
+ vX_[42] = 0 - vX_[90] * vX_[317];
+ vX_[90] = vX_[90] * vX_[269];
+ vX_[269] = vX_[11] * vX_[90] + vX_[3] * vX_[253];
+ vX_[52] = vX_[93] * vX_[58] + vX_[3] * vX_[338];
+ vX_[188] = vX_[3] * vX_[58];
+ vX_[25] = vX_[93] * vX_[340] + vX_[188];
+ vX_[20] = vX_[22] * vX_[260] + vX_[93] * vX_[346] + vX_[11] * vX_[97] + vX_[3] * vX_[347];
+ vX_[44] = 0 - vX_[260];
+ vX_[130] = vX_[22] * vX_[31] + vX_[93] * vX_[343] + vX_[11] * vX_[44] + vX_[3] * vX_[344];
+ vX_[190] = vX_[348] * vX_[93] + vX_[20] * vX_[22] + vX_[345] * vX_[3] + vX_[130] * vX_[11];
+ vX_[171] = (vX_[190] - vX_[351] * vX_[258]) / vX_[24];
+ vX_[130] = vX_[345] * vX_[124] + vX_[130] * vX_[9] + vX_[348] * vX_[3] + vX_[20] * vX_[11];
+ vX_[20] = vX_[339] * vX_[124] + vX_[52] * vX_[9] + vX_[342] * vX_[3] + vX_[25] * vX_[11] -
+ (vX_[349] * vX_[171] + vX_[130] * vX_[351]);
+ vX_[348] = -vX_[42];
+ vX_[345] = vX_[22] * vX_[348] + vX_[93] * vX_[353] + vX_[269];
+ vX_[95] = (vX_[130] - vX_[355] * vX_[258]) / vX_[24];
+ vX_[44] = vX_[11] * vX_[31] + vX_[3] * vX_[343] + vX_[9] * vX_[44] + vX_[124] * vX_[344];
+ vX_[97] = vX_[11] * vX_[260] + vX_[3] * vX_[346] + vX_[9] * vX_[97] + vX_[124] * vX_[347];
+ vX_[260] = vX_[358] * vX_[20];
+ vX_[348] = vX_[11] * vX_[348] + vX_[3] * vX_[353] + vX_[9] * vX_[90] + vX_[124] * vX_[253];
+ vX_[353] = 0 - vX_[348];
+ vX_[347] = 0 - vX_[124] * vX_[317] - vX_[3] * vX_[360] - (vX_[362] * vX_[171] + vX_[353] * vX_[351]);
+ vX_[346] = vX_[276] * vX_[347];
+ vX_[31] = vX_[346] - vX_[260];
+ vX_[344] = (vX_[353] - vX_[372] * vX_[258]) / vX_[24];
+ vX_[348] = vX_[332] * vX_[3] + vX_[42] * vX_[11] + vX_[253] * vX_[93] + vX_[90] * vX_[22] + vX_[348] -
+ -0.022851627 * vX_[171];
+ vX_[25] = vX_[342] * vX_[93] + vX_[25] * vX_[22] + vX_[339] * vX_[3] + vX_[52] * vX_[11];
+ vX_[190] = vX_[25] - (vX_[350] * vX_[171] + vX_[190] * vX_[351]);
+ vX_[52] = -vX_[276] * vX_[190];
+ vX_[171] = vX_[356] * vX_[3] + vX_[44] * vX_[11] + vX_[357] * vX_[93] + vX_[97] * vX_[22] -
+ (vX_[43] * vX_[171] + vX_[21] * vX_[351]);
+ vX_[342] = vX_[17] + vX_[348] * vX_[358] + vX_[52] * vX_[358] - vX_[171] * vX_[276];
+ vX_[188] = vX_[381] * vX_[3] + (vX_[3] * vX_[340] + vX_[124] * vX_[58]) * vX_[11] + vX_[341] * vX_[124] +
+ (vX_[188] + vX_[124] * vX_[338]) * vX_[9];
+ vX_[360] = vX_[3] * vX_[317] + vX_[93] * vX_[360] - (vX_[362] * vX_[95] + vX_[353] * vX_[355]);
+ vX_[360] =
+ (vX_[276] * (0 - vX_[188] - vX_[25] - (vX_[362] * vX_[344] + vX_[353] * vX_[372])) - vX_[358] * vX_[360]) *
+ vX_[276] -
+ (vX_[276] * vX_[360] - vX_[358] * (vX_[188] - (vX_[349] * vX_[95] + vX_[130] * vX_[355]))) * vX_[358];
+ jac[30] =
+ (0 -
+ vX_[0] *
+ (vX_[9] * vX_[369] + vX_[124] * vX_[336] + vX_[11] * vX_[89] + vX_[3] * vX_[335] + vX_[12] * vX_[375] +
+ vX_[137] * vX_[328] + vX_[30] * vX_[262] + vX_[1] * vX_[331] + vX_[53] * vX_[329] +
+ vX_[17] * vX_[268] + (vX_[43] * vX_[47] + vX_[21] * vX_[272] - vX_[293] * vX_[258]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[382]) / vX_[223] + vX_[8] + vX_[17] * vX_[329] + vX_[138] * vX_[268] +
+ (-0.022851627 * vX_[47] - vX_[277] * vX_[258]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[332] * vX_[124] + vX_[42] * vX_[9] + vX_[269] - vX_[276] * vX_[20] - vX_[345] -
+ -0.022851627 * vX_[95]) +
+ vX_[0] * (vX_[356] * vX_[124] + vX_[44] * vX_[9] + vX_[357] * vX_[3] + vX_[97] * vX_[11] +
+ vX_[260] - (vX_[43] * vX_[95] + vX_[21] * vX_[355]) - vX_[31])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[346] - -0.022851627 * vX_[344] - vX_[31]) +
+ vX_[0] * (vX_[345] + vX_[358] * vX_[347] - (vX_[43] * vX_[344] + vX_[21] * vX_[372]))) *
+ vX_[4] +
+ vX_[31]) -
+ vX_[365] * ((vX_[4] * vX_[342] +
+ vX_[0] * (2. * vX_[171] * vX_[358] + vX_[53] + vX_[358] * vX_[190] * vX_[358] - vX_[360])) *
+ vX_[0] +
+ (vX_[4] * (vX_[138] - 2. * vX_[348] * vX_[276] - vX_[52] * vX_[276] - vX_[360]) +
+ vX_[0] * vX_[342]) *
+ vX_[4] +
+ vX_[360])) /
+ vX_[385];
+ vX_[360] = vX_[0] * jac[30];
+ vX_[342] = vX_[0] * vX_[365] + vX_[329];
+ vX_[171] = vX_[4] * jac[30];
+ vX_[52] = 9.81 * vX_[0];
+ vX_[190] = 9.81 * vX_[4];
+ vX_[348] = vX_[4] * vX_[365] + vX_[268];
+ vX_[344] =
+ (vX_[272] - vX_[43] * vX_[342] - -0.022851627 * vX_[348] - vX_[349] * vX_[52] - vX_[362] * vX_[190]) / vX_[24];
+ jac[31] = (vX_[47] - (vX_[43] * vX_[360] + vX_[21] * vX_[342]) - -0.022851627 * vX_[171] - vX_[130] * vX_[52] -
+ vX_[353] * vX_[190] - vX_[344] * vX_[258]) /
+ vX_[24];
+ vX_[367] = vX_[11] * jac[31] + vX_[3] * vX_[344] + vX_[9] * vX_[360] + vX_[124] * vX_[342] + vX_[367];
+ vX_[257] = vX_[22] * jac[31] + vX_[93] * vX_[344] + vX_[11] * vX_[360] + vX_[3] * vX_[342] + vX_[257];
+ vX_[236] = vX_[15] * jac[31] + vX_[120] * vX_[344] + vX_[12] * vX_[360] + vX_[137] * vX_[342] + vX_[124] * vX_[52] +
+ vX_[236];
+ vX_[360] =
+ vX_[34] * jac[31] + vX_[157] * vX_[344] + vX_[30] * vX_[360] + vX_[1] * vX_[342] + vX_[3] * vX_[52] + vX_[192];
+ jac[32] = (vX_[382] - vX_[223] * vX_[171] - vX_[221] * vX_[367] - vX_[234] * vX_[257] - vX_[245] * vX_[236] -
+ vX_[254] * vX_[360]) /
+ vX_[223];
+ vX_[382] = -1 * vX_[257];
+ vX_[171] = vX_[171] + jac[32];
+ vX_[390] = vX_[28] * vX_[171] + vX_[26] * vX_[367] + vX_[390];
+ vX_[171] = vX_[26] * vX_[171] + vX_[27] * vX_[367] + vX_[373];
+ vX_[360] = -0.304 * vX_[367] + -1 * vX_[360];
+ vX_[389] = vX_[26] * vX_[236] + vX_[38] * vX_[257] + vX_[389];
+ vX_[236] = vX_[27] * vX_[236] + vX_[51] * vX_[257] + vX_[368];
+ jac[33] = (vX_[380] - vX_[154] * vX_[382] - vX_[152] * vX_[390] - -0.00021200017 * vX_[171] - vX_[150] * vX_[360] -
+ vX_[168] * vX_[389] - vX_[184] * vX_[236]) /
+ vX_[154];
+ vX_[382] = vX_[382] + jac[33];
+ vX_[271] = vX_[49] * vX_[382] + vX_[48] * vX_[390] + vX_[271];
+ vX_[270] = vX_[63] * vX_[382] + vX_[49] * vX_[390] + vX_[270];
+ vX_[267] = vX_[76] * vX_[382] + vX_[77] * vX_[390] + vX_[78] * vX_[360] + vX_[49] * vX_[389] + vX_[267];
+ jac[34] =
+ (vX_[370] - vX_[117] * vX_[171] - vX_[108] * vX_[271] - vX_[122] * vX_[270] - vX_[172] * vX_[236] -
+ vX_[127] * (vX_[56] * vX_[382] + vX_[57] * vX_[390] + vX_[49] * vX_[360] + vX_[48] * vX_[389] + vX_[7]) -
+ vX_[134] * vX_[267]) /
+ vX_[117];
+ vX_[171] = vX_[171] + jac[34];
+ jac[35] = (vX_[366] - 0.009277 * vX_[271] - -0.000829 * (vX_[70] * vX_[171] + vX_[68] * vX_[270] + vX_[359]) -
+ 1.5e-05 * (vX_[68] * vX_[171] + vX_[67] * vX_[270] + vX_[363]) -
+ 0.038686875 * (vX_[84] * vX_[236] + vX_[68] * vX_[267] + vX_[94] * vX_[271] + vX_[275])) /
+ 0.009277;
+ vX_[171] = -1 * sin(x_in[3]);
+ vX_[267] = cos(x_in[3]);
+ vX_[270] = -vX_[267];
+ vX_[271] = vX_[171] * vX_[18] + vX_[270] * vX_[10];
+ vX_[236] = -0.304 * vX_[171];
+ vX_[275] = vX_[236] * vX_[23] + vX_[171] * vX_[16];
+ vX_[363] = vX_[271] * vX_[36] - vX_[37] * vX_[275];
+ vX_[359] = vX_[271] * vX_[37];
+ vX_[366] = vX_[267] * vX_[18] + vX_[171] * vX_[10];
+ vX_[382] = vX_[45] * vX_[366] + vX_[366] * vX_[45];
+ vX_[389] = -0.304 * vX_[267];
+ vX_[360] = vX_[389] * vX_[23] + vX_[267] * vX_[16];
+ vX_[390] = vX_[48] * vX_[271];
+ vX_[370] = vX_[57] * vX_[271] + vX_[48] * vX_[275];
+ vX_[7] = vX_[50] * vX_[360] + vX_[390] * vX_[54] - (vX_[55] * vX_[370] + vX_[366] * vX_[59]);
+ vX_[380] = vX_[50] * vX_[366] + vX_[390] * vX_[55];
+ vX_[257] = vX_[55] * vX_[366] + vX_[366] * vX_[55];
+ vX_[368] = vX_[49] * vX_[271];
+ vX_[367] = vX_[64] * vX_[368] + vX_[368] * vX_[64];
+ vX_[373] = vX_[68] * vX_[368] + vX_[70] * vX_[366];
+ vX_[192] = vX_[67] * vX_[368] + vX_[68] * vX_[366];
+ vX_[157] = vX_[69] * vX_[373] + vX_[192] * vX_[73];
+ vX_[1] = vX_[77] * vX_[271] + vX_[49] * vX_[275];
+ vX_[3] = vX_[68] * vX_[360] + vX_[67] * vX_[1] + vX_[80] * vX_[390];
+ vX_[120] = vX_[75] * vX_[3] + vX_[390] * vX_[83];
+ vX_[124] = 0.02075 * vX_[366] + -0.184 * vX_[368] + vX_[370];
+ vX_[137] = vX_[69] * vX_[124] + vX_[192] * vX_[86];
+ vX_[93] = vX_[69] * vX_[390] + vX_[192] * vX_[75];
+ vX_[353] = vX_[73] * vX_[390] + vX_[373] * vX_[75];
+ vX_[130] = vX_[73] * vX_[373] + vX_[373] * vX_[73];
+ vX_[47] = vX_[69] * vX_[192] + vX_[192] * vX_[69];
+ vX_[258] = -0.00751 * vX_[157] + 0.038686875 * (vX_[120] - vX_[137]) + -0.000829 * vX_[93] - 1.5e-05 * vX_[353] -
+ 0.000198 * (vX_[130] - vX_[47]);
+ vX_[21] = 0 - vX_[258];
+ vX_[31] = (-vX_[192]) * x_in[11];
+ vX_[346] = vX_[373] * x_in[11];
+ vX_[347] = (-vX_[3]) * x_in[11];
+ vX_[137] = 0.038686875 * vX_[157] + -1.547475 * (vX_[137] - vX_[120]) + 0.00345708950900075 * vX_[31] +
+ -6.25528861700981e-05 * vX_[346] + 1.38614328745655 * vX_[347] + (0.038686875 * vX_[21]) / 0.009277;
+ vX_[120] = vX_[84] * vX_[360] + vX_[68] * vX_[1] + vX_[94] * vX_[390];
+ vX_[260] = vX_[75] * vX_[390] + vX_[390] * vX_[75];
+ vX_[124] = 1.547475 * (vX_[73] * vX_[124] + vX_[373] * vX_[86] - (vX_[75] * vX_[120] + vX_[390] * vX_[99])) +
+ 1.547475 * vX_[120] * x_in[11] - 0.038686875 * (vX_[260] + vX_[130]);
+ vX_[97] = (-vX_[368]) * x_in[10];
+ vX_[44] = vX_[390] * x_in[10];
+ vX_[95] = (-vX_[1]) * x_in[10];
+ vX_[345] = vX_[370] * x_in[10];
+ vX_[20] = vX_[64] * vX_[366] + vX_[368] * vX_[55];
+ vX_[269] = vX_[64] * vX_[390] + vX_[368] * vX_[50];
+ vX_[120] = vX_[69] * vX_[120] + vX_[192] * vX_[99] - (vX_[73] * vX_[3] + vX_[373] * vX_[83]);
+ vX_[47] = 0.000198 * vX_[353] + 1.5e-05 * (vX_[260] - vX_[47]) + 0.00315291990945349 * vX_[31] +
+ 0.000199340411771047 * vX_[346] + 0.00345708950900075 * vX_[347] + (-0.000829 * vX_[21]) / 0.009277 -
+ 0.038686875 * vX_[120] - -0.00146 * vX_[93] - -0.000829 * vX_[157];
+ vX_[260] = 0.00605 * vX_[353] + 1.5e-05 * vX_[157] + 0.000199340411771047 * vX_[31] +
+ 0.0107369757464698 * vX_[346] + -6.25528861700981e-05 * vX_[347] + (1.5e-05 * vX_[21]) / 0.009277 -
+ 0.000198 * vX_[93] - -0.000829 * (vX_[260] - vX_[130]);
+ vX_[120] = 0.038686875 * vX_[93] + 1.547475 * vX_[120] + -0.038686875 * vX_[31];
+ vX_[93] = vX_[50] * vX_[390] + vX_[390] * vX_[50];
+ vX_[130] = -0.001243 * vX_[20] + 0.009683 * vX_[269] + vX_[70] * vX_[47] + vX_[68] * vX_[260] + 0.02075 * vX_[120] -
+ -0.012652 * vX_[380] - -0.001387 * (vX_[93] - vX_[367]);
+ vX_[353] = 0 - vX_[130];
+ vX_[258] = 0.057838 * vX_[7] + -0.001387 * vX_[380] + -0.012652 * (vX_[257] - vX_[367]) +
+ (0.009277 * vX_[21]) / 0.009277 + vX_[258] + vX_[94] * vX_[137] + vX_[80] * vX_[124] +
+ vX_[119] * vX_[97] + vX_[123] * vX_[44] + vX_[129] * vX_[95] + vX_[136] * vX_[345] +
+ (vX_[108] * vX_[353]) / vX_[117] - -0.008386 * vX_[20] - -0.001243 * vX_[269];
+ vX_[157] = vX_[64] * vX_[360] + vX_[368] * vX_[54] - (vX_[55] * vX_[1] + vX_[366] * vX_[82]);
+ vX_[260] = -0.018069 * vX_[380] + 0.057838 * vX_[157] + -0.012652 * vX_[269] + vX_[68] * vX_[47] +
+ vX_[67] * vX_[260] + -0.184 * vX_[120] + vX_[123] * vX_[97] + vX_[116] * vX_[44] + vX_[132] * vX_[95] +
+ vX_[72] * vX_[345] + (vX_[122] * vX_[353]) / vX_[117] - -0.001387 * vX_[20] -
+ -0.001243 * (vX_[257] - vX_[93]);
+ vX_[157] = 0.057838 * vX_[380] + -2.1032 * vX_[157] + vX_[120] + vX_[129] * vX_[97] + vX_[132] * vX_[44] +
+ vX_[91] * vX_[95] + vX_[139] * vX_[345] + (vX_[127] * vX_[353]) / vX_[117];
+ vX_[20] = 0.057838 * vX_[20] + 2.1032 * vX_[7] + vX_[68] * vX_[137] + vX_[67] * vX_[124] + vX_[136] * vX_[97] +
+ vX_[72] * vX_[44] + vX_[139] * vX_[95] + vX_[62] * vX_[345] + (vX_[134] * vX_[353]) / vX_[117];
+ vX_[7] = (-vX_[366]) * x_in[9];
+ vX_[120] = vX_[271] * x_in[9];
+ vX_[380] = (-vX_[360]) * x_in[9];
+ vX_[47] = vX_[275] * x_in[9];
+ vX_[269] = vX_[37] * vX_[360];
+ vX_[257] = vX_[366] * vX_[36];
+ vX_[3] = vX_[45] * vX_[271] + vX_[366] * vX_[29];
+ vX_[192] = vX_[366] * vX_[37];
+ vX_[373] = vX_[29] * vX_[271] + vX_[271] * vX_[29];
+ vX_[42] = 0.160298259823722 * (vX_[269] - vX_[257]) + -0.06337651 * vX_[3] + -0.0022920002 * vX_[192] +
+ vX_[49] * vX_[258] + vX_[63] * vX_[260] + vX_[56] * vX_[157] + vX_[76] * vX_[20] -
+ -0.008711861 * vX_[363] - -0.00021200017 * vX_[359] - 0.0036857284 * (vX_[373] - vX_[382]);
+ vX_[138] = 0 - vX_[42];
+ vX_[360] = vX_[45] * vX_[275] + vX_[366] * vX_[41] - (vX_[29] * vX_[360] + vX_[271] * vX_[54]);
+ vX_[260] = 1.52322944854339e-09 * vX_[363] + 0.0036857284 * vX_[359] + -0.00021200017 * (0 - vX_[382]) +
+ vX_[48] * vX_[258] + vX_[49] * vX_[260] + vX_[57] * vX_[157] + vX_[77] * vX_[20] + vX_[156] * vX_[7] +
+ vX_[158] * vX_[120] + vX_[170] * vX_[380] + vX_[186] * vX_[47] + (vX_[152] * vX_[138]) / vX_[154] -
+ 0.160298259823722 * vX_[360] - 0.01404749 * vX_[192] - -0.0022920002 * vX_[3];
+ vX_[130] = -0.008711861 * vX_[360] + 1.52322944854339e-09 * (vX_[257] - vX_[269]) + 0.077424 * vX_[359] +
+ -0.00021200017 * vX_[3] + (vX_[117] * vX_[353]) / vX_[117] + vX_[130] + vX_[158] * vX_[7] +
+ vX_[153] * vX_[120] + vX_[182] * vX_[380] + vX_[181] * vX_[47] + (-0.00021200017 * vX_[138]) / vX_[154] -
+ 0.0036857284 * vX_[192] - -0.0022920002 * (0 - vX_[373]);
+ vX_[360] = 1.7423722 * vX_[360] + 0.160298259823722 * vX_[192] + -0.008711861 * vX_[359] + vX_[49] * vX_[157] +
+ vX_[78] * vX_[20] + vX_[39] * vX_[7] + vX_[183] * vX_[120] + vX_[197] * vX_[380] + vX_[199] * vX_[47] +
+ (vX_[150] * vX_[138]) / vX_[154] - 1.52322944854339e-09 * (vX_[373] + vX_[382]);
+ vX_[258] = -1 * vX_[389];
+ vX_[366] = -0.304 * vX_[171];
+ vX_[275] = vX_[258] * vX_[204] - vX_[366] * vX_[206];
+ vX_[271] = vX_[258] * vX_[206] - vX_[366] * vX_[202];
+ vX_[208] = vX_[207] * vX_[258] + vX_[275] * vX_[200] - (vX_[208] * vX_[366] + vX_[271] * vX_[205]);
+ vX_[207] = -vX_[258] * vX_[203];
+ vX_[210] = 0 - vX_[210] * vX_[258] - (vX_[61] * vX_[258] + vX_[207] * vX_[200]) - vX_[208];
+ vX_[61] = vX_[183] * vX_[366] + vX_[61] * vX_[366] + vX_[207] * vX_[205] - vX_[39] * vX_[258];
+ vX_[17] = vX_[26] * vX_[61] + vX_[171] * vX_[212];
+ vX_[203] = vX_[366] * vX_[203];
+ vX_[216] = vX_[215] * vX_[366] + vX_[216] * vX_[366] + vX_[203] * vX_[205] - vX_[208];
+ vX_[218] = vX_[214] * vX_[267] + (vX_[27] * vX_[210] + vX_[267] * vX_[211] + vX_[17]) * vX_[27] +
+ vX_[218] * vX_[171] +
+ (vX_[27] * vX_[61] + vX_[267] * vX_[212] + vX_[26] * vX_[216] + vX_[171] * vX_[217]) * vX_[26];
+ vX_[17] = vX_[17] + vX_[28] * vX_[216] + vX_[270] * vX_[217];
+ vX_[61] = vX_[26] * vX_[210] + vX_[171] * vX_[211] + vX_[28] * vX_[61] + vX_[270] * vX_[212];
+ vX_[212] = vX_[213] * vX_[171] + vX_[17] * vX_[26] + vX_[220] * vX_[267] + vX_[61] * vX_[27];
+ vX_[61] = vX_[220] * vX_[171] + vX_[61] * vX_[26] + vX_[213] * vX_[270] + vX_[17] * vX_[28];
+ vX_[17] = vX_[208] + vX_[61];
+ vX_[220] = (vX_[212] - vX_[224] * vX_[17]) / vX_[223];
+ vX_[213] = vX_[208] + vX_[218] - (vX_[221] * vX_[220] + vX_[212] * vX_[224]);
+ vX_[211] = vX_[258] * vX_[199];
+ vX_[217] = -vX_[211];
+ vX_[214] = -vX_[258] * vX_[197];
+ vX_[229] = vX_[181] * vX_[258] + vX_[228] * vX_[258] + vX_[217] * vX_[200] - vX_[182] * vX_[366] -
+ (vX_[229] * vX_[366] + vX_[214] * vX_[205]);
+ vX_[228] = vX_[366] * vX_[197];
+ vX_[215] = vX_[366] * vX_[199];
+ vX_[366] = vX_[170] * vX_[366] + vX_[231] * vX_[366] + vX_[228] * vX_[205] - vX_[186] * vX_[258] -
+ (vX_[232] * vX_[258] + vX_[215] * vX_[200]);
+ vX_[258] = 0 - (vX_[26] * vX_[229] + vX_[171] * vX_[230]) - (vX_[27] * vX_[366] + vX_[267] * vX_[233]);
+ vX_[366] = vX_[28] * vX_[229] + vX_[270] * vX_[230] + vX_[26] * vX_[366] + vX_[171] * vX_[233] -
+ (vX_[234] * vX_[220] + vX_[258] * vX_[224]);
+ vX_[211] = vX_[211] - vX_[228];
+ vX_[228] = vX_[228] - vX_[211];
+ vX_[229] = vX_[27] * vX_[214] + vX_[267] * vX_[237] + vX_[26] * vX_[228] + vX_[171] * vX_[238];
+ vX_[217] = vX_[217] - vX_[211];
+ vX_[220] = vX_[27] * vX_[217] + vX_[267] * vX_[240] + vX_[26] * vX_[215] + vX_[171] * vX_[241];
+ vX_[228] = vX_[26] * vX_[214] + vX_[171] * vX_[237] + vX_[28] * vX_[228] + vX_[270] * vX_[238];
+ vX_[217] = vX_[26] * vX_[217] + vX_[171] * vX_[240] + vX_[28] * vX_[215] + vX_[270] * vX_[241];
+ vX_[215] = vX_[243] * vX_[171] + vX_[228] * vX_[26] + vX_[244] * vX_[267] + vX_[217] * vX_[27];
+ vX_[241] = (vX_[215] - vX_[246] * vX_[17]) / vX_[223];
+ vX_[240] = vX_[239] * vX_[171] + vX_[229] * vX_[26] + vX_[242] * vX_[267] + vX_[220] * vX_[27] + vX_[211] -
+ (vX_[221] * vX_[241] + vX_[212] * vX_[246]);
+ vX_[214] = -vX_[203];
+ vX_[238] = vX_[26] * vX_[214] + vX_[171] * vX_[250] + vX_[28] * vX_[207] + vX_[270] * vX_[251];
+ vX_[214] = vX_[27] * vX_[214] + vX_[267] * vX_[250] + vX_[26] * vX_[207] + vX_[171] * vX_[251];
+ vX_[251] = 0 - vX_[214];
+ vX_[250] = (vX_[251] - vX_[255] * vX_[17]) / vX_[223];
+ vX_[237] = vX_[238] - (vX_[221] * vX_[250] + vX_[212] * vX_[255]);
+ vX_[233] = vX_[28] * vX_[260] + vX_[270] * vX_[318] + vX_[26] * vX_[130] + vX_[171] * vX_[286];
+ vX_[230] = 0 - vX_[233];
+ vX_[130] = vX_[26] * vX_[260] + vX_[171] * vX_[318] + vX_[27] * vX_[130] + vX_[267] * vX_[286] + -0.304 * vX_[360] +
+ vX_[213] * vX_[323] + vX_[366] * vX_[324] + vX_[240] * vX_[326] + vX_[237] * vX_[327] +
+ (vX_[221] * vX_[230] + vX_[212] * vX_[333] - vX_[334] * vX_[17]) / vX_[223];
+ vX_[257] = -1.7423722 * (vX_[257] - vX_[269]) + 0.160298259823722 * vX_[3] + 1.52322944854339e-09 * vX_[359] +
+ vX_[48] * vX_[157] + vX_[49] * vX_[20] + vX_[170] * vX_[7] + vX_[182] * vX_[120] + vX_[202] * vX_[380] +
+ vX_[206] * vX_[47] + (vX_[168] * vX_[138]) / vX_[154] - -0.008711861 * vX_[382];
+ vX_[373] = 1.7423722 * vX_[363] + 1.52322944854339e-09 * vX_[192] + -0.008711861 * vX_[3] +
+ 2.1032 * (vX_[64] * vX_[370] + vX_[368] * vX_[59] - (vX_[50] * vX_[1] + vX_[390] * vX_[82])) +
+ vX_[84] * vX_[137] + vX_[68] * vX_[124] + vX_[174] * vX_[97] + vX_[179] * vX_[44] + vX_[178] * vX_[95] +
+ vX_[175] * vX_[345] + (vX_[172] * vX_[353]) / vX_[117] + vX_[186] * vX_[7] + vX_[181] * vX_[120] +
+ vX_[206] * vX_[380] + vX_[204] * vX_[47] + (vX_[184] * vX_[138]) / vX_[154] -
+ 0.160298259823722 * vX_[373] - 0.057838 * (vX_[93] + vX_[367]);
+ vX_[61] = vX_[216] + vX_[210] + vX_[208] - vX_[218] - vX_[61] -
+ (vX_[234] * (vX_[258] - vX_[40] * vX_[17]) / vX_[223] + vX_[258] * vX_[40]);
+ vX_[203] = -1 * (vX_[271] + vX_[203]);
+ vX_[207] = -1 * (vX_[275] + vX_[207]);
+ vX_[238] = vX_[249] * vX_[171] + vX_[203] * vX_[26] + vX_[219] * vX_[267] + vX_[207] * vX_[27] - vX_[238] -
+ (vX_[234] * vX_[241] + vX_[258] * vX_[246]);
+ vX_[275] = vX_[211] - (vX_[234] * vX_[250] + vX_[258] * vX_[255]);
+ vX_[42] = vX_[38] * vX_[257] + vX_[236] * vX_[310] + vX_[51] * vX_[373] + vX_[389] * vX_[313] +
+ -1 * (vX_[42] + (vX_[154] * vX_[138]) / vX_[154]) + vX_[366] * vX_[323] + vX_[61] * vX_[324] +
+ vX_[238] * vX_[326] + vX_[275] * vX_[327] +
+ (vX_[234] * vX_[230] + vX_[258] * vX_[333] - vX_[311] * vX_[17]) / vX_[223];
+ vX_[271] = vX_[171] * vX_[206];
+ vX_[87] = vX_[88] * vX_[267] + (vX_[267] * vX_[191] + vX_[271]) * vX_[27] + vX_[87] * vX_[171] +
+ (vX_[267] * vX_[206] + vX_[171] * vX_[85]) * vX_[26];
+ vX_[88] = vX_[87] - (vX_[245] * vX_[241] + vX_[215] * vX_[246]);
+ vX_[241] = vX_[270] * vX_[199] + vX_[171] * vX_[65] - (vX_[254] * vX_[241] + vX_[251] * vX_[246]);
+ vX_[373] = vX_[26] * vX_[257] + vX_[171] * vX_[310] + vX_[27] * vX_[373] + vX_[267] * vX_[313] +
+ vX_[240] * vX_[323] + vX_[238] * vX_[324] + vX_[88] * vX_[326] + vX_[241] * vX_[327] +
+ (vX_[245] * vX_[230] + vX_[215] * vX_[333] - vX_[314] * vX_[17]) / vX_[223];
+ vX_[191] = vX_[171] * vX_[191] + vX_[270] * vX_[206];
+ vX_[271] = vX_[271] + vX_[270] * vX_[85];
+ vX_[85] = vX_[32] * vX_[171] + vX_[191] * vX_[26] + vX_[189] * vX_[270] + vX_[271] * vX_[28];
+ vX_[87] = 0 - vX_[87] - vX_[85] - (vX_[254] * vX_[250] + vX_[251] * vX_[255]);
+ vX_[360] = -1 * vX_[360] + vX_[237] * vX_[323] + vX_[275] * vX_[324] + vX_[241] * vX_[326] + vX_[87] * vX_[327] +
+ (vX_[254] * vX_[230] + vX_[251] * vX_[333] - vX_[274] * vX_[17]) / vX_[223];
+ vX_[250] = vX_[259] * vX_[88];
+ vX_[61] = 2. * vX_[238] * vX_[259] + vX_[61] + vX_[250] * vX_[259];
+ vX_[257] = vX_[259] * vX_[241];
+ vX_[366] = vX_[240] * vX_[259] + vX_[366] - vX_[275] * vX_[259] - vX_[257] * vX_[259];
+ vX_[313] = vX_[11] * vX_[366];
+ vX_[310] = -vX_[259] * vX_[87];
+ vX_[213] = vX_[213] - 2. * vX_[237] * vX_[259] - vX_[310] * vX_[259];
+ vX_[218] = (vX_[11] * vX_[61] + vX_[9] * vX_[366]) * vX_[11] + (vX_[313] + vX_[9] * vX_[213]) * vX_[9];
+ vX_[366] = vX_[22] * vX_[366] + vX_[11] * vX_[213];
+ vX_[313] = vX_[22] * vX_[61] + vX_[313];
+ vX_[216] = vX_[366] * vX_[9] + vX_[313] * vX_[11];
+ vX_[313] = vX_[313] * vX_[22] + vX_[366] * vX_[11];
+ vX_[366] = (vX_[216] - vX_[19] * vX_[313]) / vX_[24];
+ vX_[210] = vX_[218] - (vX_[43] * vX_[366] + vX_[216] * vX_[19]);
+ vX_[366] = - -0.022851627 * vX_[366];
+ vX_[208] = 0 - vX_[11] * vX_[130] - vX_[22] * vX_[42] - vX_[15] * vX_[373] - vX_[34] * vX_[360];
+ vX_[218] = vX_[213] + vX_[61] - vX_[218] - vX_[313] - -0.022851627 * ((-vX_[282]) * vX_[313]) / vX_[24];
+ vX_[217] = vX_[243] * vX_[270] + vX_[228] * vX_[28] + vX_[244] * vX_[171] + vX_[217] * vX_[26] + vX_[211];
+ vX_[228] = (vX_[217] - vX_[273] * vX_[17]) / vX_[223];
+ vX_[65] = 0 - vX_[171] * vX_[199] - vX_[267] * vX_[65] - (vX_[254] * vX_[228] + vX_[251] * vX_[273]);
+ vX_[220] = vX_[239] * vX_[270] + vX_[229] * vX_[28] + vX_[242] * vX_[171] + vX_[220] * vX_[26] -
+ vX_[259] * vX_[65] - (vX_[221] * vX_[228] + vX_[212] * vX_[273]);
+ vX_[271] = vX_[189] * vX_[171] + vX_[271] * vX_[26] + vX_[32] * vX_[267] + vX_[191] * vX_[27] -
+ (vX_[245] * vX_[228] + vX_[215] * vX_[273]);
+ vX_[207] = vX_[249] * vX_[270] + vX_[203] * vX_[28] + vX_[219] * vX_[171] + vX_[207] * vX_[26] + vX_[214] +
+ vX_[259] * vX_[271] - (vX_[234] * vX_[228] + vX_[258] * vX_[273]);
+ vX_[203] = vX_[11] * vX_[207];
+ vX_[228] = vX_[85] - (vX_[227] * vX_[228] + vX_[217] * vX_[273]);
+ vX_[88] = vX_[88] - vX_[228];
+ vX_[85] = vX_[22] * vX_[241] + vX_[11] * vX_[88];
+ vX_[87] = vX_[87] - vX_[228];
+ vX_[214] = vX_[11] * vX_[241];
+ vX_[219] = vX_[22] * vX_[87] + vX_[214];
+ vX_[275] = vX_[257] + vX_[275];
+ vX_[310] = vX_[310] + vX_[237];
+ vX_[237] = vX_[22] * vX_[275] + vX_[11] * vX_[310];
+ vX_[250] = vX_[250] + vX_[238];
+ vX_[257] = vX_[240] - vX_[257];
+ vX_[240] = vX_[22] * vX_[250] + vX_[11] * vX_[257];
+ vX_[238] = vX_[237] * vX_[22] + vX_[240] * vX_[11];
+ vX_[249] = (vX_[238] - vX_[351] * vX_[313]) / vX_[24];
+ vX_[240] = vX_[240] * vX_[9] + vX_[237] * vX_[11];
+ vX_[237] = vX_[85] * vX_[9] + vX_[219] * vX_[11] - (vX_[349] * vX_[249] + vX_[240] * vX_[351]);
+ vX_[191] = -vX_[220];
+ vX_[189] = vX_[22] * vX_[191] + vX_[203];
+ vX_[32] = (vX_[240] - vX_[355] * vX_[313]) / vX_[24];
+ vX_[257] = vX_[11] * vX_[250] + vX_[9] * vX_[257];
+ vX_[310] = vX_[11] * vX_[275] + vX_[9] * vX_[310];
+ vX_[275] = vX_[358] * vX_[237];
+ vX_[271] = -vX_[271];
+ vX_[191] = vX_[11] * vX_[191] + vX_[9] * vX_[207];
+ vX_[250] = 0 - vX_[191];
+ vX_[229] = 0 - vX_[9] * vX_[65] - vX_[11] * vX_[271] - (vX_[362] * vX_[249] + vX_[250] * vX_[351]);
+ vX_[242] = vX_[276] * vX_[229];
+ vX_[239] = vX_[242] - vX_[275];
+ vX_[211] = (vX_[250] - vX_[372] * vX_[313]) / vX_[24];
+ vX_[191] = vX_[220] * vX_[11] + vX_[207] * vX_[22] + vX_[191] - -0.022851627 * vX_[249];
+ vX_[219] = vX_[219] * vX_[22] + vX_[85] * vX_[11];
+ vX_[238] = vX_[228] + vX_[219] - (vX_[350] * vX_[249] + vX_[238] * vX_[351]);
+ vX_[85] = -vX_[276] * vX_[238];
+ vX_[249] = vX_[257] * vX_[11] + vX_[310] * vX_[22] - (vX_[43] * vX_[249] + vX_[216] * vX_[351]);
+ vX_[207] = vX_[366] + vX_[191] * vX_[358] + vX_[85] * vX_[358] - vX_[249] * vX_[276];
+ vX_[214] = (vX_[11] * vX_[87] + vX_[9] * vX_[241]) * vX_[11] + (vX_[214] + vX_[9] * vX_[88]) * vX_[9];
+ vX_[271] = vX_[11] * vX_[65] + vX_[22] * vX_[271] - (vX_[362] * vX_[32] + vX_[250] * vX_[355]);
+ vX_[271] =
+ (vX_[276] * (vX_[88] + vX_[87] + vX_[228] - vX_[214] - vX_[219] - (vX_[362] * vX_[211] + vX_[250] * vX_[372])) -
+ vX_[358] * vX_[271]) *
+ vX_[276] -
+ (vX_[276] * vX_[271] - vX_[358] * (vX_[228] + vX_[214] - (vX_[349] * vX_[32] + vX_[240] * vX_[355]))) *
+ vX_[358];
+ jac[42] =
+ (0 -
+ vX_[0] *
+ (vX_[9] * vX_[130] + vX_[11] * vX_[42] + vX_[12] * vX_[373] + vX_[30] * vX_[360] + vX_[210] * vX_[329] +
+ vX_[366] * vX_[268] + (vX_[43] * vX_[208] + vX_[216] * vX_[272] - vX_[293] * vX_[313]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[230] + vX_[17] * vX_[333] - vX_[74] * vX_[17]) / vX_[223] + vX_[233] +
+ vX_[366] * vX_[329] + vX_[218] * vX_[268] +
+ (-0.022851627 * vX_[208] - vX_[277] * vX_[313]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[220] * vX_[9] + vX_[203] - vX_[276] * vX_[237] - vX_[189] - -0.022851627 * vX_[32]) +
+ vX_[0] * (vX_[257] * vX_[9] + vX_[310] * vX_[11] + vX_[275] -
+ (vX_[43] * vX_[32] + vX_[216] * vX_[355]) - vX_[239])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[242] - -0.022851627 * vX_[211] - vX_[239]) +
+ vX_[0] * (vX_[189] + vX_[358] * vX_[229] - (vX_[43] * vX_[211] + vX_[216] * vX_[372]))) *
+ vX_[4] +
+ vX_[239]) -
+ vX_[365] * ((vX_[4] * vX_[207] + vX_[0] * (2. * vX_[249] * vX_[358] + vX_[210] +
+ vX_[358] * vX_[238] * vX_[358] - vX_[271])) *
+ vX_[0] +
+ (vX_[4] * (vX_[218] - 2. * vX_[191] * vX_[276] - vX_[85] * vX_[276] - vX_[271]) +
+ vX_[0] * vX_[207]) *
+ vX_[4] +
+ vX_[271])) /
+ vX_[385];
+ vX_[271] = vX_[0] * jac[42];
+ vX_[207] = vX_[4] * jac[42];
+ jac[43] = (vX_[208] - (vX_[43] * vX_[271] + vX_[216] * vX_[342]) - -0.022851627 * vX_[207] - vX_[240] * vX_[52] -
+ vX_[250] * vX_[190] - vX_[344] * vX_[313]) /
+ vX_[24];
+ vX_[250] = vX_[11] * jac[43] + vX_[9] * vX_[271];
+ vX_[240] = vX_[11] * vX_[344] + vX_[9] * vX_[342] + vX_[323];
+ vX_[208] = vX_[22] * jac[43] + vX_[11] * vX_[271];
+ vX_[313] = vX_[22] * vX_[344] + vX_[11] * vX_[342] + vX_[324];
+ vX_[216] = vX_[15] * jac[43] + vX_[12] * vX_[271];
+ vX_[249] = vX_[15] * vX_[344] + vX_[12] * vX_[342] + vX_[9] * vX_[52] + vX_[326];
+ vX_[271] = vX_[34] * jac[43] + vX_[30] * vX_[271];
+ vX_[85] = vX_[34] * vX_[344] + vX_[30] * vX_[342] + vX_[11] * vX_[52] + vX_[327];
+ vX_[238] = (vX_[333] - vX_[223] * vX_[348] - vX_[221] * vX_[240] - vX_[234] * vX_[313] - vX_[227] * vX_[190] -
+ vX_[245] * vX_[249] - vX_[254] * vX_[85]) /
+ vX_[223];
+ jac[44] = (vX_[230] - (vX_[223] * vX_[207] + vX_[17] * vX_[348]) - (vX_[221] * vX_[250] + vX_[212] * vX_[240]) -
+ (vX_[234] * vX_[208] + vX_[258] * vX_[313]) - vX_[217] * vX_[190] -
+ (vX_[245] * vX_[216] + vX_[215] * vX_[249]) - (vX_[254] * vX_[271] + vX_[251] * vX_[85]) -
+ vX_[238] * vX_[17]) /
+ vX_[223];
+ vX_[217] = -1 * vX_[208];
+ vX_[207] = vX_[207] + jac[44];
+ vX_[230] = vX_[348] + vX_[238];
+ vX_[7] = vX_[28] * vX_[207] + vX_[270] * vX_[230] + vX_[26] * vX_[250] + vX_[171] * vX_[240] + vX_[7];
+ vX_[207] = vX_[26] * vX_[207] + vX_[171] * vX_[230] + vX_[27] * vX_[250] + vX_[267] * vX_[240] + vX_[120];
+ vX_[271] = -0.304 * vX_[250] + -1 * vX_[271];
+ vX_[380] = (-vX_[267]) * vX_[190] + vX_[26] * vX_[216] + vX_[171] * vX_[249] + vX_[38] * vX_[208] +
+ vX_[236] * vX_[313] + vX_[380];
+ vX_[216] = vX_[171] * vX_[190] + vX_[27] * vX_[216] + vX_[267] * vX_[249] + vX_[51] * vX_[208] +
+ vX_[389] * vX_[313] + vX_[47];
+ jac[45] = (vX_[138] - vX_[154] * vX_[217] - vX_[152] * vX_[7] - -0.00021200017 * vX_[207] - vX_[150] * vX_[271] -
+ vX_[168] * vX_[380] - vX_[184] * vX_[216]) /
+ vX_[154];
+ vX_[217] = vX_[217] + jac[45];
+ vX_[97] = vX_[49] * vX_[217] + vX_[48] * vX_[7] + vX_[97];
+ vX_[44] = vX_[63] * vX_[217] + vX_[49] * vX_[7] + vX_[44];
+ vX_[345] = vX_[76] * vX_[217] + vX_[77] * vX_[7] + vX_[78] * vX_[271] + vX_[49] * vX_[380] + vX_[345];
+ jac[46] =
+ (vX_[353] - vX_[117] * vX_[207] - vX_[108] * vX_[97] - vX_[122] * vX_[44] - vX_[172] * vX_[216] -
+ vX_[127] * (vX_[56] * vX_[217] + vX_[57] * vX_[7] + vX_[49] * vX_[271] + vX_[48] * vX_[380] + vX_[95]) -
+ vX_[134] * vX_[345]) /
+ vX_[117];
+ vX_[207] = vX_[207] + jac[46];
+ jac[47] = (vX_[21] - 0.009277 * vX_[97] - -0.000829 * (vX_[70] * vX_[207] + vX_[68] * vX_[44] + vX_[31]) -
+ 1.5e-05 * (vX_[68] * vX_[207] + vX_[67] * vX_[44] + vX_[346]) -
+ 0.038686875 * (vX_[84] * vX_[216] + vX_[68] * vX_[345] + vX_[94] * vX_[97] + vX_[347])) /
+ 0.009277;
+ vX_[207] = -1 * sin(x_in[4]);
+ vX_[345] = cos(x_in[4]);
+ vX_[44] = vX_[207] * vX_[29] + vX_[345] * vX_[37];
+ vX_[97] = 0.112 * vX_[207];
+ vX_[216] = -0.112 * vX_[345];
+ vX_[347] = vX_[97] * vX_[37] + vX_[216] * vX_[29] + vX_[345] * vX_[36] + vX_[207] * vX_[41];
+ vX_[346] = vX_[44] * vX_[54] - vX_[55] * vX_[347];
+ vX_[31] = vX_[44] * vX_[55];
+ vX_[21] = -vX_[207];
+ vX_[217] = vX_[345] * vX_[29] + vX_[21] * vX_[37];
+ vX_[380] = vX_[64] * vX_[217] + vX_[217] * vX_[64];
+ vX_[271] = vX_[68] * vX_[217];
+ vX_[7] = vX_[67] * vX_[217];
+ vX_[353] = vX_[69] * vX_[271] + vX_[7] * vX_[73];
+ vX_[95] = 0.112 * vX_[345];
+ vX_[138] = 0.112 * vX_[207];
+ vX_[208] = -vX_[207];
+ vX_[47] = vX_[95] * vX_[37] + vX_[138] * vX_[29] + vX_[208] * vX_[36] + vX_[345] * vX_[41];
+ vX_[389] = vX_[67] * vX_[47] + vX_[80] * vX_[44];
+ vX_[267] = vX_[75] * vX_[389] + vX_[44] * vX_[83];
+ vX_[171] = -0.184 * vX_[217] + vX_[347];
+ vX_[236] = vX_[69] * vX_[171] + vX_[7] * vX_[86];
+ vX_[250] = vX_[69] * vX_[44] + vX_[7] * vX_[75];
+ vX_[120] = vX_[73] * vX_[44] + vX_[271] * vX_[75];
+ vX_[270] = vX_[73] * vX_[271] + vX_[271] * vX_[73];
+ vX_[251] = vX_[69] * vX_[7] + vX_[7] * vX_[69];
+ vX_[215] = -0.00751 * vX_[353] + 0.038686875 * (vX_[267] - vX_[236]) + -0.000829 * vX_[250] - 1.5e-05 * vX_[120] -
+ 0.000198 * (vX_[270] - vX_[251]);
+ vX_[258] = 0 - vX_[215];
+ vX_[17] = (-vX_[7]) * x_in[11];
+ vX_[212] = vX_[271] * x_in[11];
+ vX_[191] = (-vX_[389]) * x_in[11];
+ vX_[236] = 0.038686875 * vX_[353] + -1.547475 * (vX_[236] - vX_[267]) + 0.00345708950900075 * vX_[17] +
+ -6.25528861700981e-05 * vX_[212] + 1.38614328745655 * vX_[191] + (0.038686875 * vX_[258]) / 0.009277;
+ vX_[267] = vX_[68] * vX_[47] + vX_[94] * vX_[44];
+ vX_[211] = vX_[75] * vX_[44] + vX_[44] * vX_[75];
+ vX_[171] = 1.547475 * (vX_[73] * vX_[171] + vX_[271] * vX_[86] - (vX_[75] * vX_[267] + vX_[44] * vX_[99])) +
+ 1.547475 * vX_[267] * x_in[11] - 0.038686875 * (vX_[211] + vX_[270]);
+ vX_[239] = (-vX_[217]) * x_in[10];
+ vX_[242] = vX_[44] * x_in[10];
+ vX_[229] = (-vX_[47]) * x_in[10];
+ vX_[275] = vX_[347] * x_in[10];
+ vX_[310] = vX_[217] * vX_[55];
+ vX_[257] = vX_[64] * vX_[44] + vX_[217] * vX_[50];
+ vX_[267] = vX_[69] * vX_[267] + vX_[7] * vX_[99] - (vX_[73] * vX_[389] + vX_[271] * vX_[83]);
+ vX_[251] = 0.000198 * vX_[120] + 1.5e-05 * (vX_[211] - vX_[251]) + 0.00315291990945349 * vX_[17] +
+ 0.000199340411771047 * vX_[212] + 0.00345708950900075 * vX_[191] + (-0.000829 * vX_[258]) / 0.009277 -
+ 0.038686875 * vX_[267] - -0.00146 * vX_[250] - -0.000829 * vX_[353];
+ vX_[211] = 0.00605 * vX_[120] + 1.5e-05 * vX_[353] + 0.000199340411771047 * vX_[17] +
+ 0.0107369757464698 * vX_[212] + -6.25528861700981e-05 * vX_[191] + (1.5e-05 * vX_[258]) / 0.009277 -
+ 0.000198 * vX_[250] - -0.000829 * (vX_[211] - vX_[270]);
+ vX_[267] = 0.038686875 * vX_[250] + 1.547475 * vX_[267] + -0.038686875 * vX_[17];
+ vX_[250] = vX_[50] * vX_[44] + vX_[44] * vX_[50];
+ vX_[270] = -0.001243 * vX_[310] + 0.009683 * vX_[257] + vX_[70] * vX_[251] + vX_[68] * vX_[211] +
+ 0.02075 * vX_[267] - -0.012652 * vX_[31] - -0.001387 * (vX_[250] - vX_[380]);
+ vX_[120] = 0 - vX_[270];
+ vX_[215] = 0.057838 * vX_[346] + -0.001387 * vX_[31] + -0.012652 * (0 - vX_[380]) +
+ (0.009277 * vX_[258]) / 0.009277 + vX_[215] + vX_[94] * vX_[236] + vX_[80] * vX_[171] +
+ vX_[119] * vX_[239] + vX_[123] * vX_[242] + vX_[129] * vX_[229] + vX_[136] * vX_[275] +
+ (vX_[108] * vX_[120]) / vX_[117] - -0.008386 * vX_[310] - -0.001243 * vX_[257];
+ vX_[353] = vX_[217] * vX_[54] - vX_[55] * vX_[47];
+ vX_[211] = -0.018069 * vX_[31] + 0.057838 * vX_[353] + -0.012652 * vX_[257] + vX_[68] * vX_[251] +
+ vX_[67] * vX_[211] + -0.184 * vX_[267] + vX_[123] * vX_[239] + vX_[116] * vX_[242] +
+ vX_[132] * vX_[229] + vX_[72] * vX_[275] + (vX_[122] * vX_[120]) / vX_[117] - -0.001387 * vX_[310] -
+ -0.001243 * (0 - vX_[250]);
+ vX_[353] = 0.057838 * vX_[31] + -2.1032 * vX_[353] + vX_[267] + vX_[129] * vX_[239] + vX_[132] * vX_[242] +
+ vX_[91] * vX_[229] + vX_[139] * vX_[275] + (vX_[127] * vX_[120]) / vX_[117];
+ vX_[310] = 0.057838 * vX_[310] + 2.1032 * vX_[346] + vX_[68] * vX_[236] + vX_[67] * vX_[171] + vX_[136] * vX_[239] +
+ vX_[72] * vX_[242] + vX_[139] * vX_[229] + vX_[62] * vX_[275] + (vX_[134] * vX_[120]) / vX_[117];
+ vX_[346] = vX_[49] * vX_[216] + vX_[345] * vX_[57] + vX_[63] * vX_[97] + vX_[21] * vX_[56];
+ vX_[267] = vX_[346] * vX_[91];
+ vX_[140] = vX_[60] * vX_[346] + vX_[140] * vX_[346] + vX_[267] * vX_[71];
+ vX_[60] = vX_[346] * vX_[139];
+ vX_[142] = vX_[129] * vX_[346] - vX_[72] * vX_[346] - (vX_[142] * vX_[346] + vX_[60] * vX_[71]);
+ vX_[31] = vX_[49] * vX_[142] + vX_[345] * vX_[143];
+ vX_[251] = -vX_[346] * vX_[62];
+ vX_[147] = 0 - vX_[146] * vX_[346] - (vX_[147] * vX_[346] + vX_[251] * vX_[71]);
+ vX_[149] = vX_[144] * vX_[345] +
+ (vX_[49] * vX_[140] + vX_[345] * vX_[141] + vX_[48] * vX_[142] + vX_[207] * vX_[143]) * vX_[49] +
+ vX_[149] * vX_[207] + (vX_[31] + vX_[48] * vX_[147] + vX_[207] * vX_[148]) * vX_[48];
+ vX_[142] = vX_[63] * vX_[142] + vX_[21] * vX_[143] + vX_[49] * vX_[147] + vX_[345] * vX_[148];
+ vX_[31] = vX_[63] * vX_[140] + vX_[21] * vX_[141] + vX_[31];
+ vX_[141] = vX_[151] * vX_[207] + vX_[142] * vX_[48] + vX_[145] * vX_[345] + vX_[31] * vX_[49];
+ vX_[31] = vX_[145] * vX_[21] + vX_[31] * vX_[63] + vX_[151] * vX_[345] + vX_[142] * vX_[49];
+ vX_[142] = (vX_[141] - vX_[155] * vX_[31]) / vX_[154];
+ vX_[145] = vX_[149] - (vX_[152] * vX_[142] + vX_[141] * vX_[155]);
+ vX_[142] = - -0.00021200017 * vX_[142];
+ vX_[151] = 0 - vX_[60];
+ vX_[148] = vX_[49] * vX_[267] + vX_[345] * vX_[160] + vX_[48] * vX_[151] + vX_[207] * vX_[161];
+ vX_[143] = vX_[49] * vX_[60] + vX_[345] * vX_[163] + vX_[48] * vX_[251] + vX_[207] * vX_[164];
+ vX_[151] = vX_[63] * vX_[267] + vX_[21] * vX_[160] + vX_[49] * vX_[151] + vX_[345] * vX_[161];
+ vX_[251] = vX_[63] * vX_[60] + vX_[21] * vX_[163] + vX_[49] * vX_[251] + vX_[345] * vX_[164];
+ vX_[60] = vX_[166] * vX_[207] + vX_[151] * vX_[48] + vX_[167] * vX_[345] + vX_[251] * vX_[49];
+ vX_[164] = (vX_[60] - vX_[169] * vX_[31]) / vX_[154];
+ vX_[163] = vX_[162] * vX_[207] + vX_[148] * vX_[48] + vX_[165] * vX_[345] + vX_[143] * vX_[49] -
+ (vX_[152] * vX_[164] + vX_[141] * vX_[169]);
+ vX_[267] = 0 - vX_[346] * vX_[175];
+ vX_[161] = -vX_[267];
+ vX_[346] = vX_[346] * vX_[178];
+ vX_[160] = vX_[49] * vX_[346] + vX_[345] * vX_[180];
+ vX_[144] = vX_[63] * vX_[161] + vX_[21] * vX_[177] + vX_[160];
+ vX_[161] = vX_[49] * vX_[161] + vX_[345] * vX_[177] + vX_[48] * vX_[346] + vX_[207] * vX_[180];
+ vX_[177] = 0 - vX_[161];
+ vX_[146] = (vX_[177] - vX_[185] * vX_[31]) / vX_[154];
+ vX_[257] = vX_[144] - (vX_[152] * vX_[146] + vX_[141] * vX_[185]);
+ vX_[389] = vX_[49] * vX_[215] + vX_[345] * vX_[291] + vX_[63] * vX_[211] + vX_[21] * vX_[305] + vX_[56] * vX_[353] +
+ vX_[97] * vX_[290] + vX_[76] * vX_[310] + vX_[95] * vX_[304];
+ vX_[7] = 0 - vX_[389];
+ vX_[211] = vX_[48] * vX_[215] + vX_[207] * vX_[291] + vX_[49] * vX_[211] + vX_[345] * vX_[305] +
+ vX_[57] * vX_[353] + vX_[216] * vX_[290] + vX_[77] * vX_[310] + vX_[138] * vX_[304] +
+ vX_[145] * vX_[280] + vX_[142] * vX_[287] + vX_[163] * vX_[307] + vX_[257] * vX_[308] +
+ (vX_[152] * vX_[7] + vX_[141] * vX_[315] - vX_[316] * vX_[31]) / vX_[154];
+ vX_[149] = vX_[147] + vX_[140] - vX_[149] - vX_[31] - -0.00021200017 * ((-vX_[92]) * vX_[31]) / vX_[154];
+ vX_[144] = vX_[176] * vX_[207] + vX_[267] * vX_[48] + vX_[160] - vX_[144] - -0.00021200017 * vX_[164];
+ vX_[160] = - -0.00021200017 * vX_[146];
+ vX_[270] = (vX_[117] * vX_[120]) / vX_[117] + vX_[270] + vX_[142] * vX_[280] + vX_[149] * vX_[287] +
+ vX_[144] * vX_[307] + vX_[160] * vX_[308] + (-0.00021200017 * vX_[7] - vX_[320] * vX_[31]) / vX_[154];
+ vX_[251] = vX_[167] * vX_[21] + vX_[251] * vX_[63] + vX_[166] * vX_[345] + vX_[151] * vX_[49];
+ vX_[151] = (vX_[251] - vX_[46] * vX_[31]) / vX_[154];
+ vX_[143] = vX_[162] * vX_[345] + vX_[148] * vX_[49] + vX_[165] * vX_[21] + vX_[143] * vX_[63] -
+ (vX_[152] * vX_[151] + vX_[141] * vX_[46]);
+ vX_[161] = vX_[176] * vX_[345] + vX_[267] * vX_[49] + vX_[180] * vX_[21] + vX_[346] * vX_[63] + vX_[161] -
+ -0.00021200017 * vX_[151];
+ vX_[346] = vX_[21] * vX_[139] + vX_[345] * vX_[33];
+ vX_[267] = vX_[345] * vX_[139];
+ vX_[180] = vX_[21] * vX_[194] + vX_[267];
+ vX_[176] = vX_[193] * vX_[207] + vX_[346] * vX_[48] + vX_[196] * vX_[345] + vX_[180] * vX_[49] -
+ (vX_[168] * vX_[151] + vX_[60] * vX_[46]);
+ vX_[148] = 0 - vX_[207] * vX_[175] - vX_[345] * vX_[198] - (vX_[184] * vX_[151] + vX_[177] * vX_[46]);
+ vX_[165] = vX_[49] * vX_[353] + vX_[345] * vX_[290] + vX_[78] * vX_[310] + vX_[208] * vX_[304] +
+ vX_[143] * vX_[280] + vX_[161] * vX_[287] + vX_[176] * vX_[307] + vX_[148] * vX_[308] +
+ (vX_[150] * vX_[7] + vX_[251] * vX_[315] - vX_[321] * vX_[31]) / vX_[154];
+ vX_[267] = vX_[201] * vX_[345] + (vX_[345] * vX_[194] + vX_[207] * vX_[139]) * vX_[49] + vX_[195] * vX_[207] +
+ (vX_[267] + vX_[207] * vX_[33]) * vX_[48];
+ vX_[180] = vX_[196] * vX_[21] + vX_[180] * vX_[63] + vX_[193] * vX_[345] + vX_[346] * vX_[49];
+ vX_[146] = 0 - vX_[267] - vX_[180] - (vX_[184] * vX_[146] + vX_[177] * vX_[185]);
+ vX_[198] = vX_[345] * vX_[175] + vX_[21] * vX_[198] - (vX_[184] * vX_[164] + vX_[177] * vX_[169]);
+ vX_[346] = vX_[200] * vX_[146] - vX_[205] * vX_[198];
+ vX_[267] = vX_[267] - (vX_[168] * vX_[164] + vX_[60] * vX_[169]);
+ vX_[164] = vX_[200] * vX_[198] - vX_[205] * vX_[267];
+ vX_[196] = vX_[346] * vX_[200] - vX_[164] * vX_[205];
+ vX_[180] = vX_[180] - (vX_[150] * vX_[151] + vX_[251] * vX_[46]);
+ vX_[151] = -vX_[200] * vX_[180];
+ vX_[149] = vX_[149] - 2. * vX_[161] * vX_[200] - vX_[151] * vX_[200] - vX_[196];
+ vX_[142] = vX_[142] + vX_[161] * vX_[205] + vX_[151] * vX_[205] - vX_[143] * vX_[200];
+ vX_[193] = vX_[26] * vX_[142];
+ vX_[195] = vX_[205] * vX_[180];
+ vX_[145] = 2. * vX_[143] * vX_[205] + vX_[145] + vX_[195] * vX_[205] - vX_[196];
+ vX_[201] = (vX_[27] * vX_[149] + vX_[193]) * vX_[27] + (vX_[27] * vX_[142] + vX_[26] * vX_[145]) * vX_[26];
+ vX_[193] = vX_[193] + vX_[28] * vX_[145];
+ vX_[142] = vX_[26] * vX_[149] + vX_[28] * vX_[142];
+ vX_[194] = vX_[193] * vX_[26] + vX_[142] * vX_[27];
+ vX_[142] = vX_[142] * vX_[26] + vX_[193] * vX_[28];
+ vX_[193] = vX_[196] + vX_[142];
+ vX_[33] = (vX_[194] - vX_[224] * vX_[193]) / vX_[223];
+ vX_[162] = vX_[196] + vX_[201] - (vX_[221] * vX_[33] + vX_[194] * vX_[224]);
+ vX_[167] = vX_[200] * vX_[148];
+ vX_[166] = -vX_[167];
+ vX_[147] = -vX_[200] * vX_[176];
+ vX_[140] = vX_[160] * vX_[200] + vX_[166] * vX_[200] - vX_[144] * vX_[205] - vX_[147] * vX_[205];
+ vX_[215] = vX_[205] * vX_[176];
+ vX_[305] = vX_[205] * vX_[148];
+ vX_[291] = vX_[163] * vX_[205] + vX_[215] * vX_[205] - vX_[257] * vX_[200] - vX_[305] * vX_[200];
+ vX_[271] = 0 - vX_[26] * vX_[140] - vX_[27] * vX_[291];
+ vX_[291] = vX_[28] * vX_[140] + vX_[26] * vX_[291] - (vX_[234] * vX_[33] + vX_[271] * vX_[224]);
+ vX_[147] = vX_[147] + vX_[144];
+ vX_[167] = vX_[167] - vX_[215];
+ vX_[215] = vX_[163] + vX_[215] - vX_[167];
+ vX_[140] = vX_[27] * vX_[147] + vX_[26] * vX_[215];
+ vX_[166] = vX_[160] + vX_[166] - vX_[167];
+ vX_[305] = vX_[305] + vX_[257];
+ vX_[33] = vX_[27] * vX_[166] + vX_[26] * vX_[305];
+ vX_[215] = vX_[26] * vX_[147] + vX_[28] * vX_[215];
+ vX_[305] = vX_[26] * vX_[166] + vX_[28] * vX_[305];
+ vX_[166] = vX_[215] * vX_[26] + vX_[305] * vX_[27];
+ vX_[147] = (vX_[166] - vX_[246] * vX_[193]) / vX_[223];
+ vX_[32] = vX_[140] * vX_[26] + vX_[33] * vX_[27] + vX_[167] - (vX_[221] * vX_[147] + vX_[194] * vX_[246]);
+ vX_[195] = vX_[195] + vX_[143];
+ vX_[143] = -vX_[195];
+ vX_[151] = vX_[151] + vX_[161];
+ vX_[161] = vX_[26] * vX_[143] + vX_[28] * vX_[151];
+ vX_[143] = vX_[27] * vX_[143] + vX_[26] * vX_[151];
+ vX_[189] = 0 - vX_[143];
+ vX_[237] = (vX_[189] - vX_[255] * vX_[193]) / vX_[223];
+ vX_[203] = vX_[161] - (vX_[221] * vX_[237] + vX_[194] * vX_[255]);
+ vX_[220] = vX_[28] * vX_[211] + vX_[26] * vX_[270];
+ vX_[218] = 0 - vX_[220];
+ vX_[270] = vX_[26] * vX_[211] + vX_[27] * vX_[270] + -0.304 * vX_[165] + vX_[162] * vX_[323] + vX_[291] * vX_[324] +
+ vX_[32] * vX_[326] + vX_[203] * vX_[327] +
+ (vX_[221] * vX_[218] + vX_[194] * vX_[333] - vX_[334] * vX_[193]) / vX_[223];
+ vX_[144] = vX_[48] * vX_[353] + vX_[207] * vX_[290] + vX_[49] * vX_[310] + vX_[345] * vX_[304] +
+ vX_[163] * vX_[280] + vX_[144] * vX_[287] + vX_[267] * vX_[307] + vX_[198] * vX_[308] +
+ (vX_[168] * vX_[7] + vX_[60] * vX_[315] - vX_[337] * vX_[31]) / vX_[154];
+ vX_[160] = 2.1032 * (vX_[64] * vX_[347] + vX_[217] * vX_[59] - (vX_[50] * vX_[47] + vX_[44] * vX_[82])) +
+ vX_[84] * vX_[236] + vX_[68] * vX_[171] + vX_[174] * vX_[239] + vX_[179] * vX_[242] +
+ vX_[178] * vX_[229] + vX_[175] * vX_[275] + (vX_[172] * vX_[120]) / vX_[117] + vX_[257] * vX_[280] +
+ vX_[160] * vX_[287] + vX_[198] * vX_[307] + vX_[146] * vX_[308] +
+ (vX_[184] * vX_[7] + vX_[177] * vX_[315] - vX_[278] * vX_[31]) / vX_[154] -
+ 0.057838 * (vX_[250] + vX_[380]);
+ vX_[142] = vX_[145] + vX_[149] + vX_[196] - vX_[201] - vX_[142] -
+ (vX_[234] * (vX_[271] - vX_[40] * vX_[193]) / vX_[223] + vX_[271] * vX_[40]);
+ vX_[195] = -1 * (vX_[164] + vX_[195]);
+ vX_[151] = -1 * (vX_[346] + vX_[151]);
+ vX_[161] = vX_[195] * vX_[26] + vX_[151] * vX_[27] - vX_[161] - (vX_[234] * vX_[147] + vX_[271] * vX_[246]);
+ vX_[346] = vX_[167] - (vX_[234] * vX_[237] + vX_[271] * vX_[255]);
+ vX_[389] = vX_[38] * vX_[144] + vX_[51] * vX_[160] +
+ -1 * (vX_[389] + (vX_[154] * vX_[7] + vX_[31] * vX_[315] - vX_[312] * vX_[31]) / vX_[154]) +
+ vX_[291] * vX_[323] + vX_[142] * vX_[324] + vX_[161] * vX_[326] + vX_[346] * vX_[327] +
+ (vX_[234] * vX_[218] + vX_[271] * vX_[333] - vX_[311] * vX_[193]) / vX_[223];
+ vX_[146] = vX_[146] - vX_[180];
+ vX_[164] = vX_[26] * vX_[198];
+ vX_[267] = vX_[267] - vX_[180];
+ vX_[201] = (vX_[27] * vX_[146] + vX_[164]) * vX_[27] + (vX_[27] * vX_[198] + vX_[26] * vX_[267]) * vX_[26];
+ vX_[145] = vX_[180] + vX_[201] - (vX_[245] * vX_[147] + vX_[166] * vX_[246]);
+ vX_[176] = -vX_[176];
+ vX_[147] = vX_[28] * vX_[148] + vX_[26] * vX_[176] - (vX_[254] * vX_[147] + vX_[189] * vX_[246]);
+ vX_[160] = vX_[26] * vX_[144] + vX_[27] * vX_[160] + vX_[32] * vX_[323] + vX_[161] * vX_[324] +
+ vX_[145] * vX_[326] + vX_[147] * vX_[327] +
+ (vX_[245] * vX_[218] + vX_[166] * vX_[333] - vX_[314] * vX_[193]) / vX_[223];
+ vX_[198] = vX_[26] * vX_[146] + vX_[28] * vX_[198];
+ vX_[164] = vX_[164] + vX_[28] * vX_[267];
+ vX_[144] = vX_[198] * vX_[26] + vX_[164] * vX_[28];
+ vX_[201] = vX_[267] + vX_[146] + vX_[180] - vX_[201] - vX_[144] - (vX_[254] * vX_[237] + vX_[189] * vX_[255]);
+ vX_[165] = -1 * vX_[165] + vX_[203] * vX_[323] + vX_[346] * vX_[324] + vX_[147] * vX_[326] + vX_[201] * vX_[327] +
+ (vX_[254] * vX_[218] + vX_[189] * vX_[333] - vX_[274] * vX_[193]) / vX_[223];
+ vX_[267] = vX_[259] * vX_[145];
+ vX_[142] = 2. * vX_[161] * vX_[259] + vX_[142] + vX_[267] * vX_[259];
+ vX_[146] = vX_[259] * vX_[147];
+ vX_[291] = vX_[32] * vX_[259] + vX_[291] - vX_[346] * vX_[259] - vX_[146] * vX_[259];
+ vX_[237] = vX_[11] * vX_[291];
+ vX_[149] = -vX_[259] * vX_[201];
+ vX_[162] = vX_[162] - 2. * vX_[203] * vX_[259] - vX_[149] * vX_[259];
+ vX_[196] = (vX_[11] * vX_[142] + vX_[9] * vX_[291]) * vX_[11] + (vX_[237] + vX_[9] * vX_[162]) * vX_[9];
+ vX_[291] = vX_[22] * vX_[291] + vX_[11] * vX_[162];
+ vX_[237] = vX_[22] * vX_[142] + vX_[237];
+ vX_[257] = vX_[291] * vX_[9] + vX_[237] * vX_[11];
+ vX_[237] = vX_[237] * vX_[22] + vX_[291] * vX_[11];
+ vX_[291] = (vX_[257] - vX_[19] * vX_[237]) / vX_[24];
+ vX_[250] = vX_[196] - (vX_[43] * vX_[291] + vX_[257] * vX_[19]);
+ vX_[291] = - -0.022851627 * vX_[291];
+ vX_[171] = 0 - vX_[11] * vX_[270] - vX_[22] * vX_[389] - vX_[15] * vX_[160] - vX_[34] * vX_[165];
+ vX_[196] = vX_[162] + vX_[142] - vX_[196] - vX_[237] - -0.022851627 * ((-vX_[282]) * vX_[237]) / vX_[24];
+ vX_[305] = vX_[215] * vX_[28] + vX_[305] * vX_[26] + vX_[167];
+ vX_[215] = (vX_[305] - vX_[273] * vX_[193]) / vX_[223];
+ vX_[176] = 0 - vX_[26] * vX_[148] - vX_[27] * vX_[176] - (vX_[254] * vX_[215] + vX_[189] * vX_[273]);
+ vX_[33] =
+ vX_[140] * vX_[28] + vX_[33] * vX_[26] - vX_[259] * vX_[176] - (vX_[221] * vX_[215] + vX_[194] * vX_[273]);
+ vX_[164] = vX_[164] * vX_[26] + vX_[198] * vX_[27] - (vX_[245] * vX_[215] + vX_[166] * vX_[273]);
+ vX_[151] = vX_[195] * vX_[28] + vX_[151] * vX_[26] + vX_[143] + vX_[259] * vX_[164] -
+ (vX_[234] * vX_[215] + vX_[271] * vX_[273]);
+ vX_[195] = vX_[11] * vX_[151];
+ vX_[215] = vX_[180] + vX_[144] - (vX_[227] * vX_[215] + vX_[305] * vX_[273]);
+ vX_[145] = vX_[145] - vX_[215];
+ vX_[144] = vX_[22] * vX_[147] + vX_[11] * vX_[145];
+ vX_[201] = vX_[201] - vX_[215];
+ vX_[180] = vX_[11] * vX_[147];
+ vX_[143] = vX_[22] * vX_[201] + vX_[180];
+ vX_[346] = vX_[146] + vX_[346];
+ vX_[149] = vX_[149] + vX_[203];
+ vX_[203] = vX_[22] * vX_[346] + vX_[11] * vX_[149];
+ vX_[267] = vX_[267] + vX_[161];
+ vX_[146] = vX_[32] - vX_[146];
+ vX_[32] = vX_[22] * vX_[267] + vX_[11] * vX_[146];
+ vX_[161] = vX_[203] * vX_[22] + vX_[32] * vX_[11];
+ vX_[198] = (vX_[161] - vX_[351] * vX_[237]) / vX_[24];
+ vX_[32] = vX_[32] * vX_[9] + vX_[203] * vX_[11];
+ vX_[203] = vX_[144] * vX_[9] + vX_[143] * vX_[11] - (vX_[349] * vX_[198] + vX_[32] * vX_[351]);
+ vX_[140] = -vX_[33];
+ vX_[148] = vX_[22] * vX_[140] + vX_[195];
+ vX_[167] = (vX_[32] - vX_[355] * vX_[237]) / vX_[24];
+ vX_[146] = vX_[11] * vX_[267] + vX_[9] * vX_[146];
+ vX_[149] = vX_[11] * vX_[346] + vX_[9] * vX_[149];
+ vX_[346] = vX_[358] * vX_[203];
+ vX_[164] = -vX_[164];
+ vX_[140] = vX_[11] * vX_[140] + vX_[9] * vX_[151];
+ vX_[267] = 0 - vX_[140];
+ vX_[162] = 0 - vX_[9] * vX_[176] - vX_[11] * vX_[164] - (vX_[362] * vX_[198] + vX_[267] * vX_[351]);
+ vX_[142] = vX_[276] * vX_[162];
+ vX_[236] = vX_[142] - vX_[346];
+ vX_[47] = (vX_[267] - vX_[372] * vX_[237]) / vX_[24];
+ vX_[140] = vX_[33] * vX_[11] + vX_[151] * vX_[22] + vX_[140] - -0.022851627 * vX_[198];
+ vX_[143] = vX_[143] * vX_[22] + vX_[144] * vX_[11];
+ vX_[161] = vX_[215] + vX_[143] - (vX_[350] * vX_[198] + vX_[161] * vX_[351]);
+ vX_[144] = -vX_[276] * vX_[161];
+ vX_[198] = vX_[146] * vX_[11] + vX_[149] * vX_[22] - (vX_[43] * vX_[198] + vX_[257] * vX_[351]);
+ vX_[151] = vX_[291] + vX_[140] * vX_[358] + vX_[144] * vX_[358] - vX_[198] * vX_[276];
+ vX_[180] = (vX_[11] * vX_[201] + vX_[9] * vX_[147]) * vX_[11] + (vX_[180] + vX_[9] * vX_[145]) * vX_[9];
+ vX_[164] = vX_[11] * vX_[176] + vX_[22] * vX_[164] - (vX_[362] * vX_[167] + vX_[267] * vX_[355]);
+ vX_[164] = (vX_[276] * (vX_[145] + vX_[201] + vX_[215] - vX_[180] - vX_[143] -
+ (vX_[362] * vX_[47] + vX_[267] * vX_[372])) -
+ vX_[358] * vX_[164]) *
+ vX_[276] -
+ (vX_[276] * vX_[164] - vX_[358] * (vX_[215] + vX_[180] - (vX_[349] * vX_[167] + vX_[32] * vX_[355]))) *
+ vX_[358];
+ jac[54] =
+ (0 -
+ vX_[0] * (vX_[9] * vX_[270] + vX_[11] * vX_[389] + vX_[12] * vX_[160] + vX_[30] * vX_[165] +
+ vX_[250] * vX_[329] + vX_[291] * vX_[268] +
+ (vX_[43] * vX_[171] + vX_[257] * vX_[272] - vX_[293] * vX_[237]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[218] + vX_[193] * vX_[333] - vX_[74] * vX_[193]) / vX_[223] + vX_[220] +
+ vX_[291] * vX_[329] + vX_[196] * vX_[268] +
+ (-0.022851627 * vX_[171] - vX_[277] * vX_[237]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[33] * vX_[9] + vX_[195] - vX_[276] * vX_[203] - vX_[148] - -0.022851627 * vX_[167]) +
+ vX_[0] * (vX_[146] * vX_[9] + vX_[149] * vX_[11] + vX_[346] -
+ (vX_[43] * vX_[167] + vX_[257] * vX_[355]) - vX_[236])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[142] - -0.022851627 * vX_[47] - vX_[236]) +
+ vX_[0] * (vX_[148] + vX_[358] * vX_[162] - (vX_[43] * vX_[47] + vX_[257] * vX_[372]))) *
+ vX_[4] +
+ vX_[236]) -
+ vX_[365] * ((vX_[4] * vX_[151] + vX_[0] * (2. * vX_[198] * vX_[358] + vX_[250] +
+ vX_[358] * vX_[161] * vX_[358] - vX_[164])) *
+ vX_[0] +
+ (vX_[4] * (vX_[196] - 2. * vX_[140] * vX_[276] - vX_[144] * vX_[276] - vX_[164]) +
+ vX_[0] * vX_[151]) *
+ vX_[4] +
+ vX_[164])) /
+ vX_[385];
+ vX_[164] = vX_[0] * jac[54];
+ vX_[151] = vX_[4] * jac[54];
+ jac[55] = (vX_[171] - (vX_[43] * vX_[164] + vX_[257] * vX_[342]) - -0.022851627 * vX_[151] - vX_[32] * vX_[52] -
+ vX_[267] * vX_[190] - vX_[344] * vX_[237]) /
+ vX_[24];
+ vX_[267] = vX_[11] * jac[55] + vX_[9] * vX_[164];
+ vX_[32] = vX_[22] * jac[55] + vX_[11] * vX_[164];
+ vX_[171] = vX_[15] * jac[55] + vX_[12] * vX_[164];
+ vX_[164] = vX_[34] * jac[55] + vX_[30] * vX_[164];
+ jac[56] = (vX_[218] - (vX_[223] * vX_[151] + vX_[193] * vX_[348]) - (vX_[221] * vX_[267] + vX_[194] * vX_[240]) -
+ (vX_[234] * vX_[32] + vX_[271] * vX_[313]) - vX_[305] * vX_[190] -
+ (vX_[245] * vX_[171] + vX_[166] * vX_[249]) - (vX_[254] * vX_[164] + vX_[189] * vX_[85]) -
+ vX_[238] * vX_[193]) /
+ vX_[223];
+ vX_[305] = -1 * vX_[32];
+ vX_[218] = -1 * vX_[313];
+ vX_[151] = vX_[151] + jac[56];
+ vX_[189] = vX_[28] * vX_[151] + vX_[26] * vX_[267];
+ vX_[166] = vX_[28] * vX_[230] + vX_[26] * vX_[240] + vX_[280];
+ vX_[151] = vX_[26] * vX_[151] + vX_[27] * vX_[267];
+ vX_[164] = -0.304 * vX_[267] + -1 * vX_[164];
+ vX_[267] = -0.304 * vX_[240] + -1 * vX_[85];
+ vX_[271] = vX_[26] * vX_[171] + vX_[38] * vX_[32];
+ vX_[226] = vX_[226] * vX_[190] + vX_[26] * vX_[249] + vX_[38] * vX_[313] + vX_[307];
+ vX_[171] = vX_[27] * vX_[171] + vX_[51] * vX_[32];
+ vX_[32] = vX_[26] * vX_[190] + vX_[27] * vX_[249] + vX_[51] * vX_[313] + vX_[308];
+ vX_[230] = vX_[26] * vX_[230] + vX_[27] * vX_[240] + vX_[287];
+ vX_[193] = (vX_[315] - vX_[154] * vX_[218] - vX_[152] * vX_[166] - -0.00021200017 * vX_[230] - vX_[150] * vX_[267] -
+ vX_[168] * vX_[226] - vX_[184] * vX_[32]) /
+ vX_[154];
+ jac[57] = (vX_[7] - (vX_[154] * vX_[305] + vX_[31] * vX_[218]) - (vX_[152] * vX_[189] + vX_[141] * vX_[166]) -
+ -0.00021200017 * vX_[151] - (vX_[150] * vX_[164] + vX_[251] * vX_[267]) -
+ (vX_[168] * vX_[271] + vX_[60] * vX_[226]) - (vX_[184] * vX_[171] + vX_[177] * vX_[32]) -
+ vX_[193] * vX_[31]) /
+ vX_[154];
+ vX_[305] = vX_[305] + jac[57];
+ vX_[251] = vX_[218] + vX_[193];
+ vX_[239] = vX_[49] * vX_[305] + vX_[345] * vX_[251] + vX_[48] * vX_[189] + vX_[207] * vX_[166] + vX_[239];
+ vX_[242] = vX_[63] * vX_[305] + vX_[21] * vX_[251] + vX_[49] * vX_[189] + vX_[345] * vX_[166] + vX_[242];
+ vX_[275] = vX_[76] * vX_[305] + vX_[95] * vX_[251] + vX_[77] * vX_[189] + vX_[138] * vX_[166] + vX_[78] * vX_[164] +
+ vX_[208] * vX_[267] + vX_[49] * vX_[271] + vX_[345] * vX_[226] + vX_[275];
+ jac[58] = (vX_[120] - vX_[117] * vX_[151] - vX_[108] * vX_[239] - vX_[122] * vX_[242] - vX_[172] * vX_[171] -
+ vX_[127] * (vX_[56] * vX_[305] + vX_[97] * vX_[251] + vX_[57] * vX_[189] + vX_[216] * vX_[166] +
+ vX_[49] * vX_[164] + vX_[345] * vX_[267] + vX_[48] * vX_[271] + vX_[207] * vX_[226] +
+ vX_[229]) -
+ vX_[134] * vX_[275]) /
+ vX_[117];
+ vX_[151] = vX_[151] + jac[58];
+ jac[59] = (vX_[258] - 0.009277 * vX_[239] - -0.000829 * (vX_[70] * vX_[151] + vX_[68] * vX_[242] + vX_[17]) -
+ 1.5e-05 * (vX_[68] * vX_[151] + vX_[67] * vX_[242] + vX_[212]) -
+ 0.038686875 * (vX_[84] * vX_[171] + vX_[68] * vX_[275] + vX_[94] * vX_[239] + vX_[191])) /
+ 0.009277;
+ vX_[151] = -1 * sin(x_in[5]);
+ vX_[275] = cos(x_in[5]);
+ vX_[242] = -vX_[275];
+ vX_[239] = vX_[151] * vX_[64] + vX_[242] * vX_[55];
+ vX_[171] = vX_[275] * vX_[64] + vX_[151] * vX_[55];
+ vX_[191] = vX_[69] * vX_[239] + vX_[171] * vX_[73];
+ vX_[212] = 0.184 * vX_[275] - 0.02075 * vX_[151];
+ vX_[17] = vX_[151] * vX_[54] + vX_[275] * vX_[82] + vX_[212] * vX_[50];
+ vX_[258] = vX_[75] * vX_[17];
+ vX_[305] = vX_[171] * vX_[86];
+ vX_[271] = vX_[171] * vX_[75];
+ vX_[164] = vX_[239] * vX_[75];
+ vX_[189] = vX_[73] * vX_[239] + vX_[239] * vX_[73];
+ vX_[120] = vX_[69] * vX_[171] + vX_[171] * vX_[69];
+ vX_[229] = -0.00751 * vX_[191] + 0.038686875 * (vX_[258] - vX_[305]) + -0.000829 * vX_[271] - 1.5e-05 * vX_[164] -
+ 0.000198 * (vX_[189] - vX_[120]);
+ vX_[216] = 0 - vX_[229];
+ vX_[97] = (-vX_[171]) * x_in[11];
+ vX_[345] = vX_[239] * x_in[11];
+ vX_[207] = (-vX_[17]) * x_in[11];
+ vX_[305] = 0.038686875 * vX_[191] + -1.547475 * (vX_[305] - vX_[258]) + 0.00345708950900075 * vX_[97] +
+ -6.25528861700981e-05 * vX_[345] + 1.38614328745655 * vX_[207] + (0.038686875 * vX_[216]) / 0.009277;
+ vX_[258] = 0.02075 * vX_[275] + 0.184 * vX_[151];
+ vX_[208] = -vX_[275];
+ vX_[138] = vX_[208] * vX_[54] + vX_[151] * vX_[82] + vX_[258] * vX_[50];
+ vX_[95] =
+ 1.547475 * (vX_[239] * vX_[86] - vX_[75] * vX_[138]) + 1.547475 * vX_[138] * x_in[11] - 0.038686875 * vX_[189];
+ vX_[21] = 1.547475 * vX_[212];
+ vX_[7] = -0.184 * vX_[151] + 0.02075 * vX_[242];
+ vX_[177] = -1.38614328745655 * vX_[7];
+ vX_[103] = vX_[101] * vX_[212] + vX_[21] * vX_[80] - (vX_[103] * vX_[7] + vX_[177] * vX_[102]);
+ vX_[101] = - -6.25528861700981e-05 * vX_[7];
+ vX_[60] = -0.00345708950900075 * vX_[7];
+ vX_[31] = -vX_[60];
+ vX_[141] = vX_[68] * vX_[101] + vX_[151] * vX_[105] + vX_[67] * vX_[31] + vX_[275] * vX_[107];
+ vX_[194] = -1.547475 * vX_[212];
+ vX_[237] = 0 - (vX_[109] * vX_[212] + vX_[194] * vX_[80]) - vX_[103];
+ vX_[257] = vX_[109] * vX_[7] + vX_[194] * vX_[102] - -0.038686875 * vX_[212];
+ vX_[110] = vX_[68] * vX_[237] + vX_[151] * vX_[110] + vX_[70] * vX_[257] + vX_[242] * vX_[111];
+ vX_[198] = 1.547475 * vX_[7];
+ vX_[7] = -0.07737375 * vX_[7] + vX_[113] * vX_[7] + vX_[198] * vX_[102] - vX_[103];
+ vX_[257] = vX_[68] * vX_[257] + vX_[151] * vX_[111] + vX_[70] * vX_[7] + vX_[242] * vX_[114];
+ vX_[114] = vX_[112] * vX_[151] + vX_[110] * vX_[68] + vX_[115] * vX_[242] + vX_[257] * vX_[70];
+ vX_[111] = vX_[103] + vX_[114];
+ vX_[113] = (vX_[141] - vX_[118] * vX_[111]) / vX_[117];
+ vX_[102] = vX_[103] - (vX_[108] * vX_[113] + vX_[141] * vX_[118]);
+ vX_[257] = vX_[115] * vX_[151] + vX_[257] * vX_[68] + vX_[112] * vX_[275] + vX_[110] * vX_[67];
+ vX_[113] = vX_[106] * vX_[151] + 2. * vX_[60] * vX_[68] + vX_[121] * vX_[275] + 2. * vX_[101] * vX_[67] +
+ vX_[70] * vX_[101] + vX_[242] * vX_[105] + vX_[68] * vX_[31] + vX_[151] * vX_[107] -
+ (vX_[122] * vX_[113] + vX_[257] * vX_[118]);
+ vX_[31] = -vX_[198];
+ vX_[60] = vX_[67] * vX_[31] + vX_[275] * vX_[126] + vX_[68] * vX_[194] + vX_[151] * vX_[109];
+ vX_[101] = (vX_[60] - vX_[128] * vX_[111]) / vX_[117];
+ vX_[121] = -(vX_[108] * vX_[101] + vX_[141] * vX_[128]);
+ vX_[198] = vX_[177] + vX_[198];
+ vX_[21] = vX_[21] + vX_[194];
+ vX_[31] = vX_[68] * vX_[31] + vX_[151] * vX_[126] + vX_[70] * vX_[194] + vX_[242] * vX_[109];
+ vX_[194] = -6.25528861700981e-05 * vX_[151] + 0.00345708950900075 * vX_[242];
+ vX_[126] = vX_[133] * vX_[151] + vX_[194] * vX_[68];
+ vX_[109] = (vX_[126] - vX_[135] * vX_[111]) / vX_[117];
+ vX_[177] = vX_[125] * vX_[151] + vX_[198] * vX_[68] + vX_[131] * vX_[275] + vX_[21] * vX_[67] + vX_[31] -
+ (vX_[108] * vX_[109] + vX_[141] * vX_[135]);
+ vX_[138] = vX_[69] * vX_[138] + vX_[171] * vX_[99] - (vX_[73] * vX_[17] + vX_[239] * vX_[83]);
+ vX_[120] = 0.000198 * vX_[164] + 1.5e-05 * (0 - vX_[120]) + 0.00315291990945349 * vX_[97] +
+ 0.000199340411771047 * vX_[345] + 0.00345708950900075 * vX_[207] + (-0.000829 * vX_[216]) / 0.009277 -
+ 0.038686875 * vX_[138] - -0.00146 * vX_[271] - -0.000829 * vX_[191];
+ vX_[189] = 0.00605 * vX_[164] + 1.5e-05 * vX_[191] + 0.000199340411771047 * vX_[97] +
+ 0.0107369757464698 * vX_[345] + -6.25528861700981e-05 * vX_[207] + (1.5e-05 * vX_[216]) / 0.009277 -
+ 0.000198 * vX_[271] - -0.000829 * (0 - vX_[189]);
+ vX_[138] = 0.038686875 * vX_[271] + 1.547475 * vX_[138] + -0.038686875 * vX_[97];
+ vX_[271] = vX_[70] * vX_[120] + vX_[242] * vX_[289] + vX_[68] * vX_[189] + vX_[151] * vX_[284] + 0.02075 * vX_[138];
+ vX_[164] = 0 - vX_[271];
+ vX_[229] = (0.009277 * vX_[216]) / 0.009277 + vX_[229] + vX_[94] * vX_[305] + vX_[258] * vX_[285] +
+ vX_[80] * vX_[95] + vX_[212] * vX_[297] + vX_[102] * vX_[299] + vX_[113] * vX_[300] +
+ vX_[121] * vX_[302] + vX_[177] * vX_[303] +
+ (vX_[108] * vX_[164] + vX_[141] * vX_[296] - vX_[294] * vX_[111]) / vX_[117];
+ vX_[114] = vX_[7] + vX_[237] + vX_[103] - vX_[114] -
+ (vX_[122] * (vX_[257] - vX_[81] * vX_[111]) / vX_[117] + vX_[257] * vX_[81]);
+ vX_[31] = 0 - vX_[31] - (vX_[122] * vX_[101] + vX_[257] * vX_[128]);
+ vX_[7] = -6.25528861700981e-05 * vX_[275] + 0.00345708950900075 * vX_[151];
+ vX_[237] = vX_[104] * vX_[151] + vX_[7] * vX_[68] - (vX_[122] * vX_[109] + vX_[257] * vX_[135]);
+ vX_[189] = vX_[68] * vX_[120] + vX_[151] * vX_[289] + vX_[67] * vX_[189] + vX_[275] * vX_[284] + -0.184 * vX_[138] +
+ vX_[113] * vX_[299] + vX_[114] * vX_[300] + vX_[31] * vX_[302] + vX_[237] * vX_[303] +
+ (vX_[122] * vX_[164] + vX_[257] * vX_[296] - vX_[288] * vX_[111]) / vX_[117];
+ vX_[120] = -(vX_[127] * vX_[101] + vX_[60] * vX_[128]);
+ vX_[101] = -(vX_[134] * vX_[101] + vX_[126] * vX_[128]);
+ vX_[138] = vX_[138] + vX_[121] * vX_[299] + vX_[31] * vX_[300] + vX_[120] * vX_[302] + vX_[101] * vX_[303] +
+ (vX_[127] * vX_[164] + vX_[60] * vX_[296] - vX_[281] * vX_[111]) / vX_[117];
+ vX_[281] = -0.161331712543454 * vX_[242];
+ vX_[128] = vX_[98] * vX_[242] + vX_[281] * vX_[70];
+ vX_[109] = 0 - vX_[128] - (vX_[134] * vX_[109] + vX_[126] * vX_[135]);
+ vX_[306] = vX_[68] * vX_[305] + vX_[151] * vX_[285] + vX_[67] * vX_[95] + vX_[275] * vX_[297] +
+ vX_[177] * vX_[299] + vX_[237] * vX_[300] + vX_[101] * vX_[302] + vX_[109] * vX_[303] +
+ (vX_[134] * vX_[164] + vX_[126] * vX_[296] - vX_[306] * vX_[111]) / vX_[117];
+ vX_[135] = vX_[71] * vX_[120];
+ vX_[114] = 2. * vX_[31] * vX_[71] + vX_[114] + vX_[135] * vX_[71];
+ vX_[288] = vX_[71] * vX_[101];
+ vX_[113] = vX_[121] * vX_[71] + vX_[113] - vX_[237] * vX_[71] - vX_[288] * vX_[71];
+ vX_[284] = vX_[49] * vX_[113];
+ vX_[289] = -vX_[71] * vX_[109];
+ vX_[102] = vX_[102] - 2. * vX_[177] * vX_[71] - vX_[289] * vX_[71];
+ vX_[103] = (vX_[49] * vX_[114] + vX_[48] * vX_[113]) * vX_[49] + (vX_[284] + vX_[48] * vX_[102]) * vX_[48];
+ vX_[113] = vX_[63] * vX_[113] + vX_[49] * vX_[102];
+ vX_[284] = vX_[63] * vX_[114] + vX_[284];
+ vX_[81] = vX_[113] * vX_[48] + vX_[284] * vX_[49];
+ vX_[284] = vX_[284] * vX_[63] + vX_[113] * vX_[49];
+ vX_[113] = (vX_[81] - vX_[155] * vX_[284]) / vX_[154];
+ vX_[155] = vX_[103] - (vX_[152] * vX_[113] + vX_[81] * vX_[155]);
+ vX_[113] = - -0.00021200017 * vX_[113];
+ vX_[135] = vX_[135] + vX_[31];
+ vX_[121] = vX_[121] - vX_[288];
+ vX_[31] = vX_[49] * vX_[135] + vX_[48] * vX_[121];
+ vX_[288] = vX_[288] + vX_[237];
+ vX_[289] = vX_[289] + vX_[177];
+ vX_[177] = vX_[49] * vX_[288] + vX_[48] * vX_[289];
+ vX_[121] = vX_[63] * vX_[135] + vX_[49] * vX_[121];
+ vX_[289] = vX_[63] * vX_[288] + vX_[49] * vX_[289];
+ vX_[288] = vX_[121] * vX_[48] + vX_[289] * vX_[49];
+ vX_[135] = (vX_[288] - vX_[169] * vX_[284]) / vX_[154];
+ vX_[237] = vX_[31] * vX_[48] + vX_[177] * vX_[49] - (vX_[152] * vX_[135] + vX_[81] * vX_[169]);
+ vX_[194] = vX_[133] * vX_[242] + vX_[194] * vX_[70];
+ vX_[133] = (vX_[194] - vX_[173] * vX_[111]) / vX_[117];
+ vX_[21] = vX_[125] * vX_[242] + vX_[198] * vX_[70] + vX_[131] * vX_[151] + vX_[21] * vX_[68] - vX_[60] -
+ (vX_[108] * vX_[133] + vX_[141] * vX_[173]);
+ vX_[281] = vX_[98] * vX_[151] + vX_[281] * vX_[68] - (vX_[134] * vX_[133] + vX_[126] * vX_[173]);
+ vX_[98] = vX_[21] - vX_[71] * vX_[281];
+ vX_[198] = -vX_[98];
+ vX_[131] = -(vX_[127] * vX_[133] + vX_[60] * vX_[173]);
+ vX_[7] = vX_[104] * vX_[242] + vX_[7] * vX_[70] - (vX_[122] * vX_[133] + vX_[257] * vX_[173]);
+ vX_[71] = vX_[71] * vX_[131] + vX_[7];
+ vX_[104] = vX_[49] * vX_[71];
+ vX_[125] = vX_[63] * vX_[198] + vX_[104];
+ vX_[198] = vX_[49] * vX_[198] + vX_[48] * vX_[71];
+ vX_[212] = 0 - vX_[198];
+ vX_[294] = (vX_[212] - vX_[185] * vX_[284]) / vX_[154];
+ vX_[191] = vX_[125] - (vX_[152] * vX_[294] + vX_[81] * vX_[185]);
+ vX_[17] = vX_[49] * vX_[229] + vX_[63] * vX_[189] + vX_[56] * vX_[138] + vX_[76] * vX_[306];
+ vX_[171] = 0 - vX_[17];
+ vX_[189] = vX_[48] * vX_[229] + vX_[49] * vX_[189] + vX_[57] * vX_[138] + vX_[77] * vX_[306] + vX_[155] * vX_[280] +
+ vX_[113] * vX_[287] + vX_[237] * vX_[307] + vX_[191] * vX_[308] +
+ (vX_[152] * vX_[171] + vX_[81] * vX_[315] - vX_[316] * vX_[284]) / vX_[154];
+ vX_[103] = vX_[102] + vX_[114] - vX_[103] - vX_[284] - -0.00021200017 * ((-vX_[92]) * vX_[284]) / vX_[154];
+ vX_[125] = vX_[98] * vX_[48] + vX_[104] - vX_[125] - -0.00021200017 * vX_[135];
+ vX_[104] = - -0.00021200017 * vX_[294];
+ vX_[271] = (vX_[117] * vX_[164] + vX_[111] * vX_[296] - vX_[319] * vX_[111]) / vX_[117] + vX_[271] +
+ vX_[113] * vX_[280] + vX_[103] * vX_[287] + vX_[125] * vX_[307] + vX_[104] * vX_[308] +
+ (-0.00021200017 * vX_[171] - vX_[320] * vX_[284]) / vX_[154];
+ vX_[289] = vX_[289] * vX_[63] + vX_[121] * vX_[49];
+ vX_[121] = (vX_[289] - vX_[46] * vX_[284]) / vX_[154];
+ vX_[177] = vX_[31] * vX_[49] + vX_[177] * vX_[63] - (vX_[152] * vX_[121] + vX_[81] * vX_[46]);
+ vX_[198] = vX_[98] * vX_[49] + vX_[71] * vX_[63] + vX_[198] - -0.00021200017 * vX_[121];
+ vX_[133] = vX_[128] - (vX_[172] * vX_[133] + vX_[194] * vX_[173]);
+ vX_[120] = vX_[120] - vX_[133];
+ vX_[128] = vX_[63] * vX_[101] + vX_[49] * vX_[120];
+ vX_[109] = vX_[109] - vX_[133];
+ vX_[173] = vX_[49] * vX_[101];
+ vX_[71] = vX_[63] * vX_[109] + vX_[173];
+ vX_[98] = vX_[128] * vX_[48] + vX_[71] * vX_[49] - (vX_[168] * vX_[121] + vX_[288] * vX_[46]);
+ vX_[31] = -vX_[131];
+ vX_[320] = 0 - vX_[48] * vX_[281] - vX_[49] * vX_[31] - (vX_[184] * vX_[121] + vX_[212] * vX_[46]);
+ vX_[321] = vX_[49] * vX_[138] + vX_[78] * vX_[306] + vX_[177] * vX_[280] + vX_[198] * vX_[287] +
+ vX_[98] * vX_[307] + vX_[320] * vX_[308] +
+ (vX_[150] * vX_[171] + vX_[289] * vX_[315] - vX_[321] * vX_[284]) / vX_[154];
+ vX_[173] = (vX_[49] * vX_[109] + vX_[48] * vX_[101]) * vX_[49] + (vX_[173] + vX_[48] * vX_[120]) * vX_[48];
+ vX_[71] = vX_[71] * vX_[63] + vX_[128] * vX_[49];
+ vX_[109] = vX_[120] + vX_[109] + vX_[133] - vX_[173] - vX_[71] - (vX_[184] * vX_[294] + vX_[212] * vX_[185]);
+ vX_[31] = vX_[49] * vX_[281] + vX_[63] * vX_[31] - (vX_[184] * vX_[135] + vX_[212] * vX_[169]);
+ vX_[120] = vX_[200] * vX_[109] - vX_[205] * vX_[31];
+ vX_[173] = vX_[133] + vX_[173] - (vX_[168] * vX_[135] + vX_[288] * vX_[169]);
+ vX_[135] = vX_[200] * vX_[31] - vX_[205] * vX_[173];
+ vX_[169] = vX_[120] * vX_[200] - vX_[135] * vX_[205];
+ vX_[71] = vX_[133] + vX_[71] - (vX_[150] * vX_[121] + vX_[289] * vX_[46]);
+ vX_[133] = -vX_[200] * vX_[71];
+ vX_[103] = vX_[103] - 2. * vX_[198] * vX_[200] - vX_[133] * vX_[200] - vX_[169];
+ vX_[113] = vX_[113] + vX_[198] * vX_[205] + vX_[133] * vX_[205] - vX_[177] * vX_[200];
+ vX_[121] = vX_[26] * vX_[113];
+ vX_[46] = vX_[205] * vX_[71];
+ vX_[155] = 2. * vX_[177] * vX_[205] + vX_[155] + vX_[46] * vX_[205] - vX_[169];
+ vX_[294] = (vX_[27] * vX_[103] + vX_[121]) * vX_[27] + (vX_[27] * vX_[113] + vX_[26] * vX_[155]) * vX_[26];
+ vX_[121] = vX_[121] + vX_[28] * vX_[155];
+ vX_[113] = vX_[26] * vX_[103] + vX_[28] * vX_[113];
+ vX_[185] = vX_[121] * vX_[26] + vX_[113] * vX_[27];
+ vX_[113] = vX_[113] * vX_[26] + vX_[121] * vX_[28];
+ vX_[121] = vX_[169] + vX_[113];
+ vX_[128] = (vX_[185] - vX_[224] * vX_[121]) / vX_[223];
+ vX_[101] = vX_[169] + vX_[294] - (vX_[221] * vX_[128] + vX_[185] * vX_[224]);
+ vX_[319] = vX_[200] * vX_[320];
+ vX_[102] = -vX_[319];
+ vX_[114] = -vX_[200] * vX_[98];
+ vX_[92] = vX_[104] * vX_[200] + vX_[102] * vX_[200] - vX_[125] * vX_[205] - vX_[114] * vX_[205];
+ vX_[229] = vX_[205] * vX_[98];
+ vX_[316] = vX_[205] * vX_[320];
+ vX_[205] = vX_[237] * vX_[205] + vX_[229] * vX_[205] - vX_[191] * vX_[200] - vX_[316] * vX_[200];
+ vX_[200] = 0 - vX_[26] * vX_[92] - vX_[27] * vX_[205];
+ vX_[205] = vX_[28] * vX_[92] + vX_[26] * vX_[205] - (vX_[234] * vX_[128] + vX_[200] * vX_[224]);
+ vX_[114] = vX_[114] + vX_[125];
+ vX_[319] = vX_[319] - vX_[229];
+ vX_[229] = vX_[237] + vX_[229] - vX_[319];
+ vX_[92] = vX_[27] * vX_[114] + vX_[26] * vX_[229];
+ vX_[102] = vX_[104] + vX_[102] - vX_[319];
+ vX_[316] = vX_[316] + vX_[191];
+ vX_[128] = vX_[27] * vX_[102] + vX_[26] * vX_[316];
+ vX_[229] = vX_[26] * vX_[114] + vX_[28] * vX_[229];
+ vX_[316] = vX_[26] * vX_[102] + vX_[28] * vX_[316];
+ vX_[102] = vX_[229] * vX_[26] + vX_[316] * vX_[27];
+ vX_[114] = (vX_[102] - vX_[246] * vX_[121]) / vX_[223];
+ vX_[224] = vX_[92] * vX_[26] + vX_[128] * vX_[27] + vX_[319] - (vX_[221] * vX_[114] + vX_[185] * vX_[246]);
+ vX_[46] = vX_[46] + vX_[177];
+ vX_[177] = -vX_[46];
+ vX_[133] = vX_[133] + vX_[198];
+ vX_[198] = vX_[26] * vX_[177] + vX_[28] * vX_[133];
+ vX_[177] = vX_[27] * vX_[177] + vX_[26] * vX_[133];
+ vX_[239] = 0 - vX_[177];
+ vX_[106] = (vX_[239] - vX_[255] * vX_[121]) / vX_[223];
+ vX_[118] = vX_[198] - (vX_[221] * vX_[106] + vX_[185] * vX_[255]);
+ vX_[107] = vX_[28] * vX_[189] + vX_[26] * vX_[271];
+ vX_[105] = 0 - vX_[107];
+ vX_[271] = vX_[26] * vX_[189] + vX_[27] * vX_[271] + -0.304 * vX_[321] + vX_[101] * vX_[323] + vX_[205] * vX_[324] +
+ vX_[224] * vX_[326] + vX_[118] * vX_[327] +
+ (vX_[221] * vX_[105] + vX_[185] * vX_[333] - vX_[334] * vX_[121]) / vX_[223];
+ vX_[125] = vX_[48] * vX_[138] + vX_[49] * vX_[306] + vX_[237] * vX_[280] + vX_[125] * vX_[287] +
+ vX_[173] * vX_[307] + vX_[31] * vX_[308] +
+ (vX_[168] * vX_[171] + vX_[288] * vX_[315] - vX_[337] * vX_[284]) / vX_[154];
+ vX_[104] = vX_[84] * vX_[305] + vX_[208] * vX_[285] + vX_[68] * vX_[95] + vX_[151] * vX_[297] + vX_[21] * vX_[299] +
+ vX_[7] * vX_[300] + vX_[131] * vX_[302] + vX_[281] * vX_[303] +
+ (vX_[172] * vX_[164] + vX_[194] * vX_[296] - vX_[309] * vX_[111]) / vX_[117] + vX_[191] * vX_[280] +
+ vX_[104] * vX_[287] + vX_[31] * vX_[307] + vX_[109] * vX_[308] +
+ (vX_[184] * vX_[171] + vX_[212] * vX_[315] - vX_[278] * vX_[284]) / vX_[154];
+ vX_[113] = vX_[155] + vX_[103] + vX_[169] - vX_[294] - vX_[113] -
+ (vX_[234] * (vX_[200] - vX_[40] * vX_[121]) / vX_[223] + vX_[200] * vX_[40]);
+ vX_[46] = -1 * (vX_[135] + vX_[46]);
+ vX_[133] = -1 * (vX_[120] + vX_[133]);
+ vX_[198] = vX_[46] * vX_[26] + vX_[133] * vX_[27] - vX_[198] - (vX_[234] * vX_[114] + vX_[200] * vX_[246]);
+ vX_[120] = vX_[319] - (vX_[234] * vX_[106] + vX_[200] * vX_[255]);
+ vX_[17] = vX_[38] * vX_[125] + vX_[51] * vX_[104] +
+ -1 * (vX_[17] + (vX_[154] * vX_[171] + vX_[284] * vX_[315] - vX_[312] * vX_[284]) / vX_[154]) +
+ vX_[205] * vX_[323] + vX_[113] * vX_[324] + vX_[198] * vX_[326] + vX_[120] * vX_[327] +
+ (vX_[234] * vX_[105] + vX_[200] * vX_[333] - vX_[311] * vX_[121]) / vX_[223];
+ vX_[109] = vX_[109] - vX_[71];
+ vX_[311] = vX_[26] * vX_[31];
+ vX_[173] = vX_[173] - vX_[71];
+ vX_[312] = (vX_[27] * vX_[109] + vX_[311]) * vX_[27] + (vX_[27] * vX_[31] + vX_[26] * vX_[173]) * vX_[26];
+ vX_[315] = vX_[71] + vX_[312] - (vX_[245] * vX_[114] + vX_[102] * vX_[246]);
+ vX_[98] = -vX_[98];
+ vX_[114] = vX_[28] * vX_[320] + vX_[26] * vX_[98] - (vX_[254] * vX_[114] + vX_[239] * vX_[246]);
+ vX_[104] = vX_[26] * vX_[125] + vX_[27] * vX_[104] + vX_[224] * vX_[323] + vX_[198] * vX_[324] +
+ vX_[315] * vX_[326] + vX_[114] * vX_[327] +
+ (vX_[245] * vX_[105] + vX_[102] * vX_[333] - vX_[314] * vX_[121]) / vX_[223];
+ vX_[31] = vX_[26] * vX_[109] + vX_[28] * vX_[31];
+ vX_[311] = vX_[311] + vX_[28] * vX_[173];
+ vX_[125] = vX_[31] * vX_[26] + vX_[311] * vX_[28];
+ vX_[312] = vX_[173] + vX_[109] + vX_[71] - vX_[312] - vX_[125] - (vX_[254] * vX_[106] + vX_[239] * vX_[255]);
+ vX_[321] = -1 * vX_[321] + vX_[118] * vX_[323] + vX_[120] * vX_[324] + vX_[114] * vX_[326] + vX_[312] * vX_[327] +
+ (vX_[254] * vX_[105] + vX_[239] * vX_[333] - vX_[274] * vX_[121]) / vX_[223];
+ vX_[274] = vX_[259] * vX_[315];
+ vX_[113] = 2. * vX_[198] * vX_[259] + vX_[113] + vX_[274] * vX_[259];
+ vX_[327] = vX_[259] * vX_[114];
+ vX_[205] = vX_[224] * vX_[259] + vX_[205] - vX_[120] * vX_[259] - vX_[327] * vX_[259];
+ vX_[326] = vX_[11] * vX_[205];
+ vX_[324] = -vX_[259] * vX_[312];
+ vX_[101] = vX_[101] - 2. * vX_[118] * vX_[259] - vX_[324] * vX_[259];
+ vX_[323] = (vX_[11] * vX_[113] + vX_[9] * vX_[205]) * vX_[11] + (vX_[326] + vX_[9] * vX_[101]) * vX_[9];
+ vX_[205] = vX_[22] * vX_[205] + vX_[11] * vX_[101];
+ vX_[326] = vX_[22] * vX_[113] + vX_[326];
+ vX_[173] = vX_[205] * vX_[9] + vX_[326] * vX_[11];
+ vX_[326] = vX_[326] * vX_[22] + vX_[205] * vX_[11];
+ vX_[205] = (vX_[173] - vX_[19] * vX_[326]) / vX_[24];
+ vX_[19] = vX_[323] - (vX_[43] * vX_[205] + vX_[173] * vX_[19]);
+ vX_[205] = - -0.022851627 * vX_[205];
+ vX_[109] = 0 - vX_[11] * vX_[271] - vX_[22] * vX_[17] - vX_[15] * vX_[104] - vX_[34] * vX_[321];
+ vX_[323] = vX_[101] + vX_[113] - vX_[323] - vX_[326] - -0.022851627 * ((-vX_[282]) * vX_[326]) / vX_[24];
+ vX_[316] = vX_[229] * vX_[28] + vX_[316] * vX_[26] + vX_[319];
+ vX_[229] = (vX_[316] - vX_[273] * vX_[121]) / vX_[223];
+ vX_[98] = 0 - vX_[26] * vX_[320] - vX_[27] * vX_[98] - (vX_[254] * vX_[229] + vX_[239] * vX_[273]);
+ vX_[128] =
+ vX_[92] * vX_[28] + vX_[128] * vX_[26] - vX_[259] * vX_[98] - (vX_[221] * vX_[229] + vX_[185] * vX_[273]);
+ vX_[311] = vX_[311] * vX_[26] + vX_[31] * vX_[27] - (vX_[245] * vX_[229] + vX_[102] * vX_[273]);
+ vX_[133] = vX_[46] * vX_[28] + vX_[133] * vX_[26] + vX_[177] + vX_[259] * vX_[311] -
+ (vX_[234] * vX_[229] + vX_[200] * vX_[273]);
+ vX_[46] = vX_[11] * vX_[133];
+ vX_[229] = vX_[71] + vX_[125] - (vX_[227] * vX_[229] + vX_[316] * vX_[273]);
+ vX_[315] = vX_[315] - vX_[229];
+ vX_[125] = vX_[22] * vX_[114] + vX_[11] * vX_[315];
+ vX_[312] = vX_[312] - vX_[229];
+ vX_[71] = vX_[11] * vX_[114];
+ vX_[273] = vX_[22] * vX_[312] + vX_[71];
+ vX_[120] = vX_[327] + vX_[120];
+ vX_[324] = vX_[324] + vX_[118];
+ vX_[118] = vX_[22] * vX_[120] + vX_[11] * vX_[324];
+ vX_[274] = vX_[274] + vX_[198];
+ vX_[327] = vX_[224] - vX_[327];
+ vX_[224] = vX_[22] * vX_[274] + vX_[11] * vX_[327];
+ vX_[198] = vX_[118] * vX_[22] + vX_[224] * vX_[11];
+ vX_[227] = (vX_[198] - vX_[351] * vX_[326]) / vX_[24];
+ vX_[224] = vX_[224] * vX_[9] + vX_[118] * vX_[11];
+ vX_[118] = vX_[125] * vX_[9] + vX_[273] * vX_[11] - (vX_[349] * vX_[227] + vX_[224] * vX_[351]);
+ vX_[177] = -vX_[128];
+ vX_[259] = vX_[22] * vX_[177] + vX_[46];
+ vX_[31] = (vX_[224] - vX_[355] * vX_[326]) / vX_[24];
+ vX_[327] = vX_[11] * vX_[274] + vX_[9] * vX_[327];
+ vX_[324] = vX_[11] * vX_[120] + vX_[9] * vX_[324];
+ vX_[120] = vX_[358] * vX_[118];
+ vX_[311] = -vX_[311];
+ vX_[177] = vX_[11] * vX_[177] + vX_[9] * vX_[133];
+ vX_[274] = 0 - vX_[177];
+ vX_[92] = 0 - vX_[9] * vX_[98] - vX_[11] * vX_[311] - (vX_[362] * vX_[227] + vX_[274] * vX_[351]);
+ vX_[320] = vX_[276] * vX_[92];
+ vX_[319] = vX_[320] - vX_[120];
+ vX_[101] = (vX_[274] - vX_[372] * vX_[326]) / vX_[24];
+ vX_[177] = vX_[128] * vX_[11] + vX_[133] * vX_[22] + vX_[177] - -0.022851627 * vX_[227];
+ vX_[273] = vX_[273] * vX_[22] + vX_[125] * vX_[11];
+ vX_[198] = vX_[229] + vX_[273] - (vX_[350] * vX_[227] + vX_[198] * vX_[351]);
+ vX_[350] = -vX_[276] * vX_[198];
+ vX_[227] = vX_[327] * vX_[11] + vX_[324] * vX_[22] - (vX_[43] * vX_[227] + vX_[173] * vX_[351]);
+ vX_[351] = vX_[205] + vX_[177] * vX_[358] + vX_[350] * vX_[358] - vX_[227] * vX_[276];
+ vX_[71] = (vX_[11] * vX_[312] + vX_[9] * vX_[114]) * vX_[11] + (vX_[71] + vX_[9] * vX_[315]) * vX_[9];
+ vX_[311] = vX_[11] * vX_[98] + vX_[22] * vX_[311] - (vX_[362] * vX_[31] + vX_[274] * vX_[355]);
+ vX_[311] =
+ (vX_[276] *
+ (vX_[315] + vX_[312] + vX_[229] - vX_[71] - vX_[273] - (vX_[362] * vX_[101] + vX_[274] * vX_[372])) -
+ vX_[358] * vX_[311]) *
+ vX_[276] -
+ (vX_[276] * vX_[311] - vX_[358] * (vX_[229] + vX_[71] - (vX_[349] * vX_[31] + vX_[224] * vX_[355]))) * vX_[358];
+ jac[66] =
+ (0 -
+ vX_[0] *
+ (vX_[9] * vX_[271] + vX_[11] * vX_[17] + vX_[12] * vX_[104] + vX_[30] * vX_[321] + vX_[19] * vX_[329] +
+ vX_[205] * vX_[268] + (vX_[43] * vX_[109] + vX_[173] * vX_[272] - vX_[293] * vX_[326]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[105] + vX_[121] * vX_[333] - vX_[74] * vX_[121]) / vX_[223] + vX_[107] +
+ vX_[205] * vX_[329] + vX_[323] * vX_[268] +
+ (-0.022851627 * vX_[109] - vX_[277] * vX_[326]) / vX_[24]) -
+ 9.81 * ((vX_[4] * (vX_[128] * vX_[9] + vX_[46] - vX_[276] * vX_[118] - vX_[259] - -0.022851627 * vX_[31]) +
+ vX_[0] * (vX_[327] * vX_[9] + vX_[324] * vX_[11] + vX_[120] -
+ (vX_[43] * vX_[31] + vX_[173] * vX_[355]) - vX_[319])) *
+ vX_[0] +
+ (vX_[4] * (0 - vX_[320] - -0.022851627 * vX_[101] - vX_[319]) +
+ vX_[0] * (vX_[259] + vX_[358] * vX_[92] - (vX_[43] * vX_[101] + vX_[173] * vX_[372]))) *
+ vX_[4] +
+ vX_[319]) -
+ vX_[365] * ((vX_[4] * vX_[351] +
+ vX_[0] * (2. * vX_[227] * vX_[358] + vX_[19] + vX_[358] * vX_[198] * vX_[358] - vX_[311])) *
+ vX_[0] +
+ (vX_[4] * (vX_[323] - 2. * vX_[177] * vX_[276] - vX_[350] * vX_[276] - vX_[311]) +
+ vX_[0] * vX_[351]) *
+ vX_[4] +
+ vX_[311])) /
+ vX_[385];
+ vX_[311] = vX_[0] * jac[66];
+ vX_[351] = vX_[4] * jac[66];
+ jac[67] = (vX_[109] - (vX_[43] * vX_[311] + vX_[173] * vX_[342]) - -0.022851627 * vX_[351] - vX_[224] * vX_[52] -
+ vX_[274] * vX_[190] - vX_[344] * vX_[326]) /
+ vX_[24];
+ vX_[274] = vX_[11] * jac[67] + vX_[9] * vX_[311];
+ vX_[224] = vX_[22] * jac[67] + vX_[11] * vX_[311];
+ vX_[109] = vX_[15] * jac[67] + vX_[12] * vX_[311];
+ vX_[311] = vX_[34] * jac[67] + vX_[30] * vX_[311];
+ jac[68] = (vX_[105] - (vX_[223] * vX_[351] + vX_[121] * vX_[348]) - (vX_[221] * vX_[274] + vX_[185] * vX_[240]) -
+ (vX_[234] * vX_[224] + vX_[200] * vX_[313]) - vX_[316] * vX_[190] -
+ (vX_[245] * vX_[109] + vX_[102] * vX_[249]) - (vX_[254] * vX_[311] + vX_[239] * vX_[85]) -
+ vX_[238] * vX_[121]) /
+ vX_[223];
+ vX_[316] = -1 * vX_[224];
+ vX_[351] = vX_[351] + jac[68];
+ vX_[105] = vX_[28] * vX_[351] + vX_[26] * vX_[274];
+ vX_[351] = vX_[26] * vX_[351] + vX_[27] * vX_[274];
+ vX_[311] = -0.304 * vX_[274] + -1 * vX_[311];
+ vX_[274] = vX_[26] * vX_[109] + vX_[38] * vX_[224];
+ vX_[109] = vX_[27] * vX_[109] + vX_[51] * vX_[224];
+ jac[69] = (vX_[171] - (vX_[154] * vX_[316] + vX_[284] * vX_[218]) - (vX_[152] * vX_[105] + vX_[81] * vX_[166]) -
+ -0.00021200017 * vX_[351] - (vX_[150] * vX_[311] + vX_[289] * vX_[267]) -
+ (vX_[168] * vX_[274] + vX_[288] * vX_[226]) - (vX_[184] * vX_[109] + vX_[212] * vX_[32]) -
+ vX_[193] * vX_[284]) /
+ vX_[154];
+ vX_[316] = vX_[316] + jac[69];
+ vX_[289] = vX_[49] * vX_[316] + vX_[48] * vX_[105];
+ vX_[299] = vX_[49] * vX_[251] + vX_[48] * vX_[166] + vX_[299];
+ vX_[171] = vX_[63] * vX_[316] + vX_[49] * vX_[105];
+ vX_[300] = vX_[63] * vX_[251] + vX_[49] * vX_[166] + vX_[300];
+ vX_[302] = vX_[56] * vX_[251] + vX_[57] * vX_[166] + vX_[49] * vX_[267] + vX_[48] * vX_[226] + vX_[302];
+ vX_[212] = vX_[76] * vX_[316] + vX_[77] * vX_[105] + vX_[78] * vX_[311] + vX_[49] * vX_[274];
+ vX_[251] = vX_[76] * vX_[251] + vX_[77] * vX_[166] + vX_[78] * vX_[267] + vX_[49] * vX_[226] + vX_[303];
+ vX_[296] = (vX_[296] - vX_[117] * vX_[230] - vX_[108] * vX_[299] - vX_[122] * vX_[300] - vX_[172] * vX_[32] -
+ vX_[127] * vX_[302] - vX_[134] * vX_[251]) /
+ vX_[117];
+ jac[70] = (vX_[164] - (vX_[117] * vX_[351] + vX_[111] * vX_[230]) - (vX_[108] * vX_[289] + vX_[141] * vX_[299]) -
+ (vX_[122] * vX_[171] + vX_[257] * vX_[300]) - (vX_[172] * vX_[109] + vX_[194] * vX_[32]) -
+ (vX_[127] * (vX_[56] * vX_[316] + vX_[57] * vX_[105] + vX_[49] * vX_[311] + vX_[48] * vX_[274]) +
+ vX_[60] * vX_[302]) -
+ (vX_[134] * vX_[212] + vX_[126] * vX_[251]) - vX_[296] * vX_[111]) /
+ vX_[117];
+ vX_[351] = vX_[351] + jac[70];
+ vX_[296] = vX_[230] + vX_[296];
+ jac[71] =
+ (vX_[216] - 0.009277 * vX_[289] -
+ -0.000829 *
+ (vX_[70] * vX_[351] + vX_[242] * vX_[296] + vX_[68] * vX_[171] + vX_[151] * vX_[300] + vX_[97]) -
+ 1.5e-05 * (vX_[68] * vX_[351] + vX_[151] * vX_[296] + vX_[67] * vX_[171] + vX_[275] * vX_[300] + vX_[345]) -
+ 0.038686875 * (vX_[84] * vX_[109] + vX_[208] * vX_[32] + vX_[68] * vX_[212] + vX_[151] * vX_[251] +
+ vX_[94] * vX_[289] + vX_[258] * vX_[299] + vX_[207])) /
+ 0.009277;
+ vX_[296] = vX_[0] * x_in[7];
+ vX_[351] = vX_[5] * vX_[4] + vX_[4] * vX_[5];
+ vX_[251] = vX_[12] * vX_[0];
+ vX_[212] = -(vX_[10] * vX_[251] + vX_[4] * vX_[16]);
+ vX_[300] = vX_[9] * vX_[0];
+ vX_[171] = vX_[18] * vX_[4] + vX_[300] * vX_[10];
+ vX_[299] = vX_[10] * vX_[4] + vX_[4] * vX_[10];
+ vX_[289] = vX_[11] * vX_[0];
+ vX_[109] = vX_[23] * vX_[289] + vX_[289] * vX_[23];
+ vX_[208] = vX_[30] * vX_[0];
+ vX_[258] = -0.304 * vX_[300] + -1 * vX_[208];
+ vX_[207] = vX_[26] * vX_[300] + vX_[28] * vX_[4];
+ vX_[345] = vX_[38] * vX_[289] + vX_[26] * vX_[251];
+ vX_[97] = -1 * vX_[289];
+ vX_[216] = vX_[29] * vX_[258] + vX_[207] * vX_[36] - (vX_[37] * vX_[345] + vX_[97] * vX_[41]);
+ vX_[242] = vX_[29] * vX_[97] + vX_[207] * vX_[37];
+ vX_[275] = vX_[37] * vX_[97] + vX_[97] * vX_[37];
+ vX_[151] = vX_[27] * vX_[300] + vX_[26] * vX_[4];
+ vX_[32] = vX_[45] * vX_[151] + vX_[151] * vX_[45];
+ vX_[230] = vX_[51] * vX_[289] + vX_[27] * vX_[251];
+ vX_[302] = vX_[48] * vX_[207] + vX_[49] * vX_[97];
+ vX_[316] = vX_[56] * vX_[97] + vX_[57] * vX_[207] + vX_[49] * vX_[258] + vX_[48] * vX_[345];
+ vX_[274] = vX_[50] * vX_[230] + vX_[302] * vX_[54] - (vX_[55] * vX_[316] + vX_[151] * vX_[59]);
+ vX_[311] = vX_[50] * vX_[151] + vX_[302] * vX_[55];
+ vX_[105] = vX_[55] * vX_[151] + vX_[151] * vX_[55];
+ vX_[194] = vX_[49] * vX_[207] + vX_[63] * vX_[97];
+ vX_[164] = vX_[64] * vX_[194] + vX_[194] * vX_[64];
+ vX_[126] = vX_[68] * vX_[194] + vX_[70] * vX_[151];
+ vX_[60] = vX_[67] * vX_[194] + vX_[68] * vX_[151];
+ vX_[257] = vX_[69] * vX_[126] + vX_[60] * vX_[73];
+ vX_[111] = vX_[76] * vX_[97] + vX_[77] * vX_[207] + vX_[78] * vX_[258] + vX_[49] * vX_[345];
+ vX_[141] = vX_[68] * vX_[230] + vX_[67] * vX_[111] + vX_[80] * vX_[302];
+ vX_[226] = vX_[75] * vX_[141] + vX_[302] * vX_[83];
+ vX_[267] = 0.02075 * vX_[151] + -0.184 * vX_[194] + vX_[316];
+ vX_[166] = vX_[69] * vX_[267] + vX_[60] * vX_[86];
+ vX_[303] = vX_[69] * vX_[302] + vX_[60] * vX_[75];
+ vX_[288] = vX_[73] * vX_[302] + vX_[126] * vX_[75];
+ vX_[284] = vX_[73] * vX_[126] + vX_[126] * vX_[73];
+ vX_[81] = vX_[69] * vX_[60] + vX_[60] * vX_[69];
+ vX_[193] = -0.00751 * vX_[257] + 0.038686875 * (vX_[226] - vX_[166]) + -0.000829 * vX_[303] - 1.5e-05 * vX_[288] -
+ 0.000198 * (vX_[284] - vX_[81]);
+ vX_[218] = 0 - vX_[193];
+ vX_[224] = (-vX_[60]) * x_in[11];
+ vX_[239] = vX_[126] * x_in[11];
+ vX_[102] = (-vX_[141]) * x_in[11];
+ vX_[166] = 0.038686875 * vX_[257] + -1.547475 * (vX_[166] - vX_[226]) + 0.00345708950900075 * vX_[224] +
+ -6.25528861700981e-05 * vX_[239] + 1.38614328745655 * vX_[102] + (0.038686875 * vX_[218]) / 0.009277;
+ vX_[226] = vX_[84] * vX_[230] + vX_[68] * vX_[111] + vX_[94] * vX_[302];
+ vX_[200] = vX_[75] * vX_[302] + vX_[302] * vX_[75];
+ vX_[267] = 1.547475 * (vX_[73] * vX_[267] + vX_[126] * vX_[86] - (vX_[75] * vX_[226] + vX_[302] * vX_[99])) +
+ 1.547475 * vX_[226] * x_in[11] - 0.038686875 * (vX_[200] + vX_[284]);
+ vX_[121] = (-vX_[194]) * x_in[10];
+ vX_[185] = vX_[302] * x_in[10];
+ vX_[238] = (-vX_[111]) * x_in[10];
+ vX_[85] = vX_[316] * x_in[10];
+ vX_[249] = vX_[64] * vX_[151] + vX_[194] * vX_[55];
+ vX_[313] = vX_[64] * vX_[302] + vX_[194] * vX_[50];
+ vX_[226] = vX_[69] * vX_[226] + vX_[60] * vX_[99] - (vX_[73] * vX_[141] + vX_[126] * vX_[83]);
+ vX_[81] = 0.000198 * vX_[288] + 1.5e-05 * (vX_[200] - vX_[81]) + 0.00315291990945349 * vX_[224] +
+ 0.000199340411771047 * vX_[239] + 0.00345708950900075 * vX_[102] + (-0.000829 * vX_[218]) / 0.009277 -
+ 0.038686875 * vX_[226] - -0.00146 * vX_[303] - -0.000829 * vX_[257];
+ vX_[200] = 0.00605 * vX_[288] + 1.5e-05 * vX_[257] + 0.000199340411771047 * vX_[224] +
+ 0.0107369757464698 * vX_[239] + -6.25528861700981e-05 * vX_[102] + (1.5e-05 * vX_[218]) / 0.009277 -
+ 0.000198 * vX_[303] - -0.000829 * (vX_[200] - vX_[284]);
+ vX_[226] = 0.038686875 * vX_[303] + 1.547475 * vX_[226] + -0.038686875 * vX_[224];
+ vX_[303] = vX_[50] * vX_[302] + vX_[302] * vX_[50];
+ vX_[284] = -0.001243 * vX_[249] + 0.009683 * vX_[313] + vX_[70] * vX_[81] + vX_[68] * vX_[200] +
+ 0.02075 * vX_[226] - -0.012652 * vX_[311] - -0.001387 * (vX_[303] - vX_[164]);
+ vX_[288] = 0 - vX_[284];
+ vX_[193] = 0.057838 * vX_[274] + -0.001387 * vX_[311] + -0.012652 * (vX_[105] - vX_[164]) +
+ (0.009277 * vX_[218]) / 0.009277 + vX_[193] + vX_[94] * vX_[166] + vX_[80] * vX_[267] +
+ vX_[119] * vX_[121] + vX_[123] * vX_[185] + vX_[129] * vX_[238] + vX_[136] * vX_[85] +
+ (vX_[108] * vX_[288]) / vX_[117] - -0.008386 * vX_[249] - -0.001243 * vX_[313];
+ vX_[257] = vX_[64] * vX_[230] + vX_[194] * vX_[54] - (vX_[55] * vX_[111] + vX_[151] * vX_[82]);
+ vX_[200] = -0.018069 * vX_[311] + 0.057838 * vX_[257] + -0.012652 * vX_[313] + vX_[68] * vX_[81] +
+ vX_[67] * vX_[200] + -0.184 * vX_[226] + vX_[123] * vX_[121] + vX_[116] * vX_[185] +
+ vX_[132] * vX_[238] + vX_[72] * vX_[85] + (vX_[122] * vX_[288]) / vX_[117] - -0.001387 * vX_[249] -
+ -0.001243 * (vX_[105] - vX_[303]);
+ vX_[257] = 0.057838 * vX_[311] + -2.1032 * vX_[257] + vX_[226] + vX_[129] * vX_[121] + vX_[132] * vX_[185] +
+ vX_[91] * vX_[238] + vX_[139] * vX_[85] + (vX_[127] * vX_[288]) / vX_[117];
+ vX_[249] = 0.057838 * vX_[249] + 2.1032 * vX_[274] + vX_[68] * vX_[166] + vX_[67] * vX_[267] + vX_[136] * vX_[121] +
+ vX_[72] * vX_[185] + vX_[139] * vX_[238] + vX_[62] * vX_[85] + (vX_[134] * vX_[288]) / vX_[117];
+ vX_[274] = (-vX_[151]) * x_in[9];
+ vX_[226] = vX_[207] * x_in[9];
+ vX_[311] = (-vX_[230]) * x_in[9];
+ vX_[81] = vX_[345] * x_in[9];
+ vX_[313] = vX_[37] * vX_[230] + vX_[97] * vX_[54];
+ vX_[258] = vX_[45] * vX_[258] + vX_[151] * vX_[36];
+ vX_[105] = vX_[45] * vX_[207] + vX_[151] * vX_[29];
+ vX_[97] = vX_[45] * vX_[97] + vX_[151] * vX_[37];
+ vX_[141] = vX_[29] * vX_[207] + vX_[207] * vX_[29];
+ vX_[60] = 0.160298259823722 * (vX_[313] - vX_[258]) + -0.06337651 * vX_[105] + -0.0022920002 * vX_[97] +
+ vX_[49] * vX_[193] + vX_[63] * vX_[200] + vX_[56] * vX_[257] + vX_[76] * vX_[249] -
+ -0.008711861 * vX_[216] - -0.00021200017 * vX_[242] - 0.0036857284 * (vX_[141] - vX_[32]);
+ vX_[126] = 0 - vX_[60];
+ vX_[230] = vX_[45] * vX_[345] + vX_[151] * vX_[41] - (vX_[29] * vX_[230] + vX_[207] * vX_[54]);
+ vX_[200] = 1.52322944854339e-09 * vX_[216] + 0.0036857284 * vX_[242] + -0.00021200017 * (vX_[275] - vX_[32]) +
+ vX_[48] * vX_[193] + vX_[49] * vX_[200] + vX_[57] * vX_[257] + vX_[77] * vX_[249] + vX_[156] * vX_[274] +
+ vX_[158] * vX_[226] + vX_[170] * vX_[311] + vX_[186] * vX_[81] + (vX_[152] * vX_[126]) / vX_[154] -
+ 0.160298259823722 * vX_[230] - 0.01404749 * vX_[97] - -0.0022920002 * vX_[105];
+ vX_[284] = -0.008711861 * vX_[230] + 1.52322944854339e-09 * (vX_[258] - vX_[313]) + 0.077424 * vX_[242] +
+ -0.00021200017 * vX_[105] + (vX_[117] * vX_[288]) / vX_[117] + vX_[284] + vX_[158] * vX_[274] +
+ vX_[153] * vX_[226] + vX_[182] * vX_[311] + vX_[181] * vX_[81] + (-0.00021200017 * vX_[126]) / vX_[154] -
+ 0.0036857284 * vX_[97] - -0.0022920002 * (vX_[275] - vX_[141]);
+ vX_[230] = 1.7423722 * vX_[230] + 0.160298259823722 * vX_[97] + -0.008711861 * vX_[242] + vX_[49] * vX_[257] +
+ vX_[78] * vX_[249] + vX_[39] * vX_[274] + vX_[183] * vX_[226] + vX_[197] * vX_[311] +
+ vX_[199] * vX_[81] + (vX_[150] * vX_[126]) / vX_[154] - 1.52322944854339e-09 * (vX_[141] + vX_[32]);
+ vX_[193] = (-vX_[289]) * x_in[8];
+ vX_[151] = vX_[300] * x_in[8];
+ vX_[345] = (-vX_[208]) * x_in[8];
+ vX_[207] = vX_[251] * x_in[8];
+ vX_[240] = vX_[10] * vX_[208] + vX_[4] * vX_[35];
+ vX_[348] = vX_[23] * vX_[300] + vX_[289] * vX_[18];
+ vX_[190] = vX_[23] * vX_[4] + vX_[289] * vX_[10];
+ vX_[326] = vX_[18] * vX_[300] + vX_[300] * vX_[18];
+ vX_[173] = -0.0055615274403 * vX_[240] + 0.00750500000000001 * vX_[348] + -0.0037997814 * vX_[190] +
+ vX_[28] * vX_[200] + vX_[26] * vX_[284] - 0.01438086 * vX_[212] - -0.011715295 * vX_[171] -
+ 5.399998e-05 * (vX_[326] - vX_[109]);
+ vX_[344] = 0 - vX_[173];
+ vX_[208] = vX_[23] * vX_[251] + vX_[289] * vX_[16] - (vX_[18] * vX_[208] + vX_[300] * vX_[35]);
+ vX_[284] = 0.647967112 * vX_[212] + 5.399998e-05 * vX_[171] + -0.011715295 * (vX_[299] - vX_[109]) +
+ vX_[26] * vX_[200] + vX_[27] * vX_[284] + -0.304 * vX_[230] + vX_[225] * vX_[193] + vX_[235] * vX_[151] +
+ vX_[247] * vX_[345] + vX_[256] * vX_[207] + (vX_[221] * vX_[344]) / vX_[223] -
+ -0.0055615274403 * vX_[208] - -0.192033951 * vX_[190] - -0.0037997814 * vX_[348];
+ vX_[240] = -vX_[240];
+ vX_[258] = -1.7423722 * (vX_[258] - vX_[313]) + 0.160298259823722 * vX_[105] + 1.52322944854339e-09 * vX_[242] +
+ vX_[48] * vX_[257] + vX_[49] * vX_[249] + vX_[170] * vX_[274] + vX_[182] * vX_[226] +
+ vX_[202] * vX_[311] + vX_[206] * vX_[81] + (vX_[168] * vX_[126]) / vX_[154] -
+ -0.008711861 * (vX_[275] + vX_[32]);
+ vX_[141] = 1.7423722 * vX_[216] + 1.52322944854339e-09 * vX_[97] + -0.008711861 * vX_[105] +
+ 2.1032 * (vX_[64] * vX_[316] + vX_[194] * vX_[59] - (vX_[50] * vX_[111] + vX_[302] * vX_[82])) +
+ vX_[84] * vX_[166] + vX_[68] * vX_[267] + vX_[174] * vX_[121] + vX_[179] * vX_[185] +
+ vX_[178] * vX_[238] + vX_[175] * vX_[85] + (vX_[172] * vX_[288]) / vX_[117] + vX_[186] * vX_[274] +
+ vX_[181] * vX_[226] + vX_[206] * vX_[311] + vX_[204] * vX_[81] + (vX_[184] * vX_[126]) / vX_[154] -
+ 0.160298259823722 * (vX_[275] + vX_[141]) - 0.057838 * (vX_[303] + vX_[164]);
+ vX_[208] = 0.01438086 * vX_[208] + 0.647967112 * vX_[240] + -0.199538951 * vX_[171] + -0.011715295 * vX_[348] +
+ vX_[38] * vX_[258] + vX_[51] * vX_[141] + -1 * (vX_[60] + (vX_[154] * vX_[126]) / vX_[154]) +
+ vX_[235] * vX_[193] + vX_[222] * vX_[151] + vX_[252] * vX_[345] + vX_[209] * vX_[207] +
+ (vX_[234] * vX_[344]) / vX_[223] - 5.399998e-05 * vX_[190] - -0.0037997814 * (vX_[299] - vX_[326]);
+ vX_[141] = -2.327 * vX_[240] + -0.0055615274403 * vX_[348] + 0.647967112 * vX_[171] + vX_[26] * vX_[258] +
+ vX_[27] * vX_[141] + vX_[247] * vX_[193] + vX_[252] * vX_[151] + vX_[66] * vX_[345] +
+ vX_[58] * vX_[207] + (vX_[245] * vX_[344]) / vX_[223] - 0.01438086 * (vX_[299] + vX_[109]);
+ vX_[326] = 2.327 * vX_[212] + 0.647967112 * vX_[190] + 0.01438086 * vX_[348] + -1 * vX_[230] + vX_[256] * vX_[193] +
+ vX_[209] * vX_[151] + vX_[58] * vX_[345] + vX_[79] * vX_[207] + (vX_[254] * vX_[344]) / vX_[223] -
+ -0.0055615274403 * (vX_[299] + vX_[326]);
+ vX_[190] = (-vX_[4]) * x_in[7];
+ vX_[348] = vX_[14] * vX_[0] + vX_[0] * vX_[14];
+ vX_[230] = vX_[4] * x_in[7];
+ vX_[299] = vX_[5] * vX_[0] + vX_[4] * vX_[14];
+ vX_[212] = -0.022851627 * vX_[296] + 0.0055279857 * (vX_[348] - vX_[351]) - -0.002752 * vX_[230] -
+ 0.046852534 * vX_[299] - vX_[11] * vX_[284] - vX_[22] * vX_[208] - vX_[15] * vX_[141] -
+ vX_[34] * vX_[326];
+ jac[78] =
+ (0 -
+ vX_[0] * (0.0055279857 * vX_[296] + -0.022851627 * (0 - vX_[351]) + vX_[9] * vX_[284] + vX_[11] * vX_[208] +
+ vX_[12] * vX_[141] + vX_[30] * vX_[326] + vX_[13] * vX_[190] + vX_[265] * vX_[296] +
+ (vX_[43] * vX_[212]) / vX_[24] - 0.012390532 * vX_[230] - -0.002752 * vX_[299]) -
+ vX_[4] * (-0.034462002 * vX_[296] + -0.022851627 * vX_[299] + (vX_[223] * vX_[344]) / vX_[223] + vX_[173] +
+ vX_[265] * vX_[190] + vX_[100] * vX_[296] + (-0.022851627 * vX_[212]) / vX_[24] -
+ 0.0055279857 * vX_[230] - -0.002752 * (0 - vX_[348]))) /
+ vX_[385];
+ vX_[190] = vX_[0] * jac[78] + vX_[190];
+ vX_[296] = vX_[4] * jac[78] + vX_[296];
+ jac[79] = (vX_[212] - vX_[43] * vX_[190] - -0.022851627 * vX_[296]) / vX_[24];
+ vX_[193] = vX_[11] * jac[79] + vX_[9] * vX_[190] + vX_[193];
+ vX_[151] = vX_[22] * jac[79] + vX_[11] * vX_[190] + vX_[151];
+ vX_[345] = vX_[15] * jac[79] + vX_[12] * vX_[190] + vX_[345];
+ vX_[190] = vX_[34] * jac[79] + vX_[30] * vX_[190] + vX_[207];
+ jac[80] = (vX_[344] - vX_[223] * vX_[296] - vX_[221] * vX_[193] - vX_[234] * vX_[151] - vX_[245] * vX_[345] -
+ vX_[254] * vX_[190]) /
+ vX_[223];
+ vX_[344] = -1 * vX_[151];
+ vX_[296] = vX_[296] + jac[80];
+ vX_[274] = vX_[28] * vX_[296] + vX_[26] * vX_[193] + vX_[274];
+ vX_[296] = vX_[26] * vX_[296] + vX_[27] * vX_[193] + vX_[226];
+ vX_[190] = -0.304 * vX_[193] + -1 * vX_[190];
+ vX_[311] = vX_[26] * vX_[345] + vX_[38] * vX_[151] + vX_[311];
+ vX_[345] = vX_[27] * vX_[345] + vX_[51] * vX_[151] + vX_[81];
+ jac[81] = (vX_[126] - vX_[154] * vX_[344] - vX_[152] * vX_[274] - -0.00021200017 * vX_[296] - vX_[150] * vX_[190] -
+ vX_[168] * vX_[311] - vX_[184] * vX_[345]) /
+ vX_[154];
+ vX_[344] = vX_[344] + jac[81];
+ vX_[121] = vX_[49] * vX_[344] + vX_[48] * vX_[274] + vX_[121];
+ vX_[185] = vX_[63] * vX_[344] + vX_[49] * vX_[274] + vX_[185];
+ vX_[85] = vX_[76] * vX_[344] + vX_[77] * vX_[274] + vX_[78] * vX_[190] + vX_[49] * vX_[311] + vX_[85];
+ jac[82] =
+ (vX_[288] - vX_[117] * vX_[296] - vX_[108] * vX_[121] - vX_[122] * vX_[185] - vX_[172] * vX_[345] -
+ vX_[127] * (vX_[56] * vX_[344] + vX_[57] * vX_[274] + vX_[49] * vX_[190] + vX_[48] * vX_[311] + vX_[238]) -
+ vX_[134] * vX_[85]) /
+ vX_[117];
+ vX_[296] = vX_[296] + jac[82];
+ jac[83] = (vX_[218] - 0.009277 * vX_[121] - -0.000829 * (vX_[70] * vX_[296] + vX_[68] * vX_[185] + vX_[224]) -
+ 1.5e-05 * (vX_[68] * vX_[296] + vX_[67] * vX_[185] + vX_[239]) -
+ 0.038686875 * (vX_[84] * vX_[345] + vX_[68] * vX_[85] + vX_[94] * vX_[121] + vX_[102])) /
+ 0.009277;
+ vX_[296] = x_in[7] + x_in[7];
+ vX_[85] = -vX_[10] * vX_[15];
+ vX_[185] = vX_[11] * vX_[10];
+ vX_[121] = vX_[23] * vX_[22] + vX_[22] * vX_[23];
+ vX_[345] = -0.304 * vX_[11] + -1 * vX_[34];
+ vX_[102] = vX_[26] * vX_[11];
+ vX_[239] = vX_[38] * vX_[22] + vX_[26] * vX_[15];
+ vX_[224] = -1 * vX_[22];
+ vX_[218] = vX_[29] * vX_[345] + vX_[102] * vX_[36] - (vX_[37] * vX_[239] + vX_[224] * vX_[41]);
+ vX_[344] = vX_[29] * vX_[224] + vX_[102] * vX_[37];
+ vX_[311] = vX_[37] * vX_[224] + vX_[224] * vX_[37];
+ vX_[190] = vX_[27] * vX_[11];
+ vX_[274] = vX_[45] * vX_[190] + vX_[190] * vX_[45];
+ vX_[288] = vX_[51] * vX_[22] + vX_[27] * vX_[15];
+ vX_[238] = vX_[48] * vX_[102] + vX_[49] * vX_[224];
+ vX_[126] = vX_[56] * vX_[224] + vX_[57] * vX_[102] + vX_[49] * vX_[345] + vX_[48] * vX_[239];
+ vX_[151] = vX_[50] * vX_[288] + vX_[238] * vX_[54] - (vX_[55] * vX_[126] + vX_[190] * vX_[59]);
+ vX_[81] = vX_[50] * vX_[190] + vX_[238] * vX_[55];
+ vX_[193] = vX_[55] * vX_[190] + vX_[190] * vX_[55];
+ vX_[226] = vX_[49] * vX_[102] + vX_[63] * vX_[224];
+ vX_[207] = vX_[64] * vX_[226] + vX_[226] * vX_[64];
+ vX_[212] = vX_[68] * vX_[226] + vX_[70] * vX_[190];
+ vX_[299] = vX_[67] * vX_[226] + vX_[68] * vX_[190];
+ vX_[230] = vX_[69] * vX_[212] + vX_[299] * vX_[73];
+ vX_[348] = vX_[76] * vX_[224] + vX_[77] * vX_[102] + vX_[78] * vX_[345] + vX_[49] * vX_[239];
+ vX_[326] = vX_[68] * vX_[288] + vX_[67] * vX_[348] + vX_[80] * vX_[238];
+ vX_[141] = vX_[75] * vX_[326] + vX_[238] * vX_[83];
+ vX_[208] = 0.02075 * vX_[190] + -0.184 * vX_[226] + vX_[126];
+ vX_[284] = vX_[69] * vX_[208] + vX_[299] * vX_[86];
+ vX_[173] = vX_[69] * vX_[238] + vX_[299] * vX_[75];
+ vX_[351] = vX_[73] * vX_[238] + vX_[212] * vX_[75];
+ vX_[258] = vX_[73] * vX_[212] + vX_[212] * vX_[73];
+ vX_[240] = vX_[69] * vX_[299] + vX_[299] * vX_[69];
+ vX_[109] = -0.00751 * vX_[230] + 0.038686875 * (vX_[141] - vX_[284]) + -0.000829 * vX_[173] - 1.5e-05 * vX_[351] -
+ 0.000198 * (vX_[258] - vX_[240]);
+ vX_[171] = 0 - vX_[109];
+ vX_[60] = (-vX_[299]) * x_in[11];
+ vX_[97] = vX_[212] * x_in[11];
+ vX_[105] = (-vX_[326]) * x_in[11];
+ vX_[284] = 0.038686875 * vX_[230] + -1.547475 * (vX_[284] - vX_[141]) + 0.00345708950900075 * vX_[60] +
+ -6.25528861700981e-05 * vX_[97] + 1.38614328745655 * vX_[105] + (0.038686875 * vX_[171]) / 0.009277;
+ vX_[141] = vX_[84] * vX_[288] + vX_[68] * vX_[348] + vX_[94] * vX_[238];
+ vX_[303] = vX_[75] * vX_[238] + vX_[238] * vX_[75];
+ vX_[208] = 1.547475 * (vX_[73] * vX_[208] + vX_[212] * vX_[86] - (vX_[75] * vX_[141] + vX_[238] * vX_[99])) +
+ 1.547475 * vX_[141] * x_in[11] - 0.038686875 * (vX_[303] + vX_[258]);
+ vX_[267] = (-vX_[226]) * x_in[10];
+ vX_[166] = vX_[238] * x_in[10];
+ vX_[111] = (-vX_[348]) * x_in[10];
+ vX_[164] = vX_[126] * x_in[10];
+ vX_[194] = vX_[64] * vX_[190] + vX_[226] * vX_[55];
+ vX_[316] = vX_[64] * vX_[238] + vX_[226] * vX_[50];
+ vX_[141] = vX_[69] * vX_[141] + vX_[299] * vX_[99] - (vX_[73] * vX_[326] + vX_[212] * vX_[83]);
+ vX_[240] = 0.000198 * vX_[351] + 1.5e-05 * (vX_[303] - vX_[240]) + 0.00315291990945349 * vX_[60] +
+ 0.000199340411771047 * vX_[97] + 0.00345708950900075 * vX_[105] + (-0.000829 * vX_[171]) / 0.009277 -
+ 0.038686875 * vX_[141] - -0.00146 * vX_[173] - -0.000829 * vX_[230];
+ vX_[303] = 0.00605 * vX_[351] + 1.5e-05 * vX_[230] + 0.000199340411771047 * vX_[60] + 0.0107369757464698 * vX_[97] +
+ -6.25528861700981e-05 * vX_[105] + (1.5e-05 * vX_[171]) / 0.009277 - 0.000198 * vX_[173] -
+ -0.000829 * (vX_[303] - vX_[258]);
+ vX_[141] = 0.038686875 * vX_[173] + 1.547475 * vX_[141] + -0.038686875 * vX_[60];
+ vX_[173] = vX_[50] * vX_[238] + vX_[238] * vX_[50];
+ vX_[258] = -0.001243 * vX_[194] + 0.009683 * vX_[316] + vX_[70] * vX_[240] + vX_[68] * vX_[303] +
+ 0.02075 * vX_[141] - -0.012652 * vX_[81] - -0.001387 * (vX_[173] - vX_[207]);
+ vX_[351] = 0 - vX_[258];
+ vX_[109] = 0.057838 * vX_[151] + -0.001387 * vX_[81] + -0.012652 * (vX_[193] - vX_[207]) +
+ (0.009277 * vX_[171]) / 0.009277 + vX_[109] + vX_[94] * vX_[284] + vX_[80] * vX_[208] +
+ vX_[119] * vX_[267] + vX_[123] * vX_[166] + vX_[129] * vX_[111] + vX_[136] * vX_[164] +
+ (vX_[108] * vX_[351]) / vX_[117] - -0.008386 * vX_[194] - -0.001243 * vX_[316];
+ vX_[230] = vX_[64] * vX_[288] + vX_[226] * vX_[54] - (vX_[55] * vX_[348] + vX_[190] * vX_[82]);
+ vX_[303] = -0.018069 * vX_[81] + 0.057838 * vX_[230] + -0.012652 * vX_[316] + vX_[68] * vX_[240] +
+ vX_[67] * vX_[303] + -0.184 * vX_[141] + vX_[123] * vX_[267] + vX_[116] * vX_[166] +
+ vX_[132] * vX_[111] + vX_[72] * vX_[164] + (vX_[122] * vX_[351]) / vX_[117] - -0.001387 * vX_[194] -
+ -0.001243 * (vX_[193] - vX_[173]);
+ vX_[230] = 0.057838 * vX_[81] + -2.1032 * vX_[230] + vX_[141] + vX_[129] * vX_[267] + vX_[132] * vX_[166] +
+ vX_[91] * vX_[111] + vX_[139] * vX_[164] + (vX_[127] * vX_[351]) / vX_[117];
+ vX_[194] = 0.057838 * vX_[194] + 2.1032 * vX_[151] + vX_[68] * vX_[284] + vX_[67] * vX_[208] + vX_[136] * vX_[267] +
+ vX_[72] * vX_[166] + vX_[139] * vX_[111] + vX_[62] * vX_[164] + (vX_[134] * vX_[351]) / vX_[117];
+ vX_[151] = (-vX_[190]) * x_in[9];
+ vX_[141] = vX_[102] * x_in[9];
+ vX_[81] = (-vX_[288]) * x_in[9];
+ vX_[240] = vX_[239] * x_in[9];
+ vX_[316] = vX_[37] * vX_[288] + vX_[224] * vX_[54];
+ vX_[345] = vX_[45] * vX_[345] + vX_[190] * vX_[36];
+ vX_[193] = vX_[45] * vX_[102] + vX_[190] * vX_[29];
+ vX_[224] = vX_[45] * vX_[224] + vX_[190] * vX_[37];
+ vX_[326] = vX_[29] * vX_[102] + vX_[102] * vX_[29];
+ vX_[299] = 0.160298259823722 * (vX_[316] - vX_[345]) + -0.06337651 * vX_[193] + -0.0022920002 * vX_[224] +
+ vX_[49] * vX_[109] + vX_[63] * vX_[303] + vX_[56] * vX_[230] + vX_[76] * vX_[194] -
+ -0.008711861 * vX_[218] - -0.00021200017 * vX_[344] - 0.0036857284 * (vX_[326] - vX_[274]);
+ vX_[212] = 0 - vX_[299];
+ vX_[288] = vX_[45] * vX_[239] + vX_[190] * vX_[41] - (vX_[29] * vX_[288] + vX_[102] * vX_[54]);
+ vX_[303] = 1.52322944854339e-09 * vX_[218] + 0.0036857284 * vX_[344] + -0.00021200017 * (vX_[311] - vX_[274]) +
+ vX_[48] * vX_[109] + vX_[49] * vX_[303] + vX_[57] * vX_[230] + vX_[77] * vX_[194] + vX_[156] * vX_[151] +
+ vX_[158] * vX_[141] + vX_[170] * vX_[81] + vX_[186] * vX_[240] + (vX_[152] * vX_[212]) / vX_[154] -
+ 0.160298259823722 * vX_[288] - 0.01404749 * vX_[224] - -0.0022920002 * vX_[193];
+ vX_[258] = -0.008711861 * vX_[288] + 1.52322944854339e-09 * (vX_[345] - vX_[316]) + 0.077424 * vX_[344] +
+ -0.00021200017 * vX_[193] + (vX_[117] * vX_[351]) / vX_[117] + vX_[258] + vX_[158] * vX_[151] +
+ vX_[153] * vX_[141] + vX_[182] * vX_[81] + vX_[181] * vX_[240] + (-0.00021200017 * vX_[212]) / vX_[154] -
+ 0.0036857284 * vX_[224] - -0.0022920002 * (vX_[311] - vX_[326]);
+ vX_[288] = 1.7423722 * vX_[288] + 0.160298259823722 * vX_[224] + -0.008711861 * vX_[344] + vX_[49] * vX_[230] +
+ vX_[78] * vX_[194] + vX_[39] * vX_[151] + vX_[183] * vX_[141] + vX_[197] * vX_[81] +
+ vX_[199] * vX_[240] + (vX_[150] * vX_[212]) / vX_[154] - 1.52322944854339e-09 * (vX_[326] + vX_[274]);
+ vX_[109] = (-vX_[22]) * x_in[8];
+ vX_[190] = vX_[11] * x_in[8];
+ vX_[239] = (-vX_[34]) * x_in[8];
+ vX_[102] = vX_[15] * x_in[8];
+ vX_[302] = vX_[10] * vX_[34];
+ vX_[275] = vX_[23] * vX_[11] + vX_[22] * vX_[18];
+ vX_[216] = vX_[22] * vX_[10];
+ vX_[313] = vX_[18] * vX_[11] + vX_[11] * vX_[18];
+ vX_[249] = -0.0055615274403 * vX_[302] + 0.00750500000000001 * vX_[275] + -0.0037997814 * vX_[216] +
+ vX_[28] * vX_[303] + vX_[26] * vX_[258] - 0.01438086 * vX_[85] - -0.011715295 * vX_[185] -
+ 5.399998e-05 * (vX_[313] - vX_[121]);
+ vX_[257] = 0 - vX_[249];
+ vX_[32] = vX_[23] * vX_[15] + vX_[22] * vX_[16] - (vX_[18] * vX_[34] + vX_[11] * vX_[35]);
+ vX_[258] = 0.647967112 * vX_[85] + 5.399998e-05 * vX_[185] + -0.011715295 * (0 - vX_[121]) + vX_[26] * vX_[303] +
+ vX_[27] * vX_[258] + -0.304 * vX_[288] + vX_[225] * vX_[109] + vX_[235] * vX_[190] +
+ vX_[247] * vX_[239] + vX_[256] * vX_[102] + (vX_[221] * vX_[257]) / vX_[223] -
+ -0.0055615274403 * vX_[32] - -0.192033951 * vX_[216] - -0.0037997814 * vX_[275];
+ vX_[302] = -vX_[302];
+ vX_[345] = -1.7423722 * (vX_[345] - vX_[316]) + 0.160298259823722 * vX_[193] + 1.52322944854339e-09 * vX_[344] +
+ vX_[48] * vX_[230] + vX_[49] * vX_[194] + vX_[170] * vX_[151] + vX_[182] * vX_[141] +
+ vX_[202] * vX_[81] + vX_[206] * vX_[240] + (vX_[168] * vX_[212]) / vX_[154] -
+ -0.008711861 * (vX_[311] + vX_[274]);
+ vX_[326] = 1.7423722 * vX_[218] + 1.52322944854339e-09 * vX_[224] + -0.008711861 * vX_[193] +
+ 2.1032 * (vX_[64] * vX_[126] + vX_[226] * vX_[59] - (vX_[50] * vX_[348] + vX_[238] * vX_[82])) +
+ vX_[84] * vX_[284] + vX_[68] * vX_[208] + vX_[174] * vX_[267] + vX_[179] * vX_[166] +
+ vX_[178] * vX_[111] + vX_[175] * vX_[164] + (vX_[172] * vX_[351]) / vX_[117] + vX_[186] * vX_[151] +
+ vX_[181] * vX_[141] + vX_[206] * vX_[81] + vX_[204] * vX_[240] + (vX_[184] * vX_[212]) / vX_[154] -
+ 0.160298259823722 * (vX_[311] + vX_[326]) - 0.057838 * (vX_[173] + vX_[207]);
+ vX_[32] = 0.01438086 * vX_[32] + 0.647967112 * vX_[302] + -0.199538951 * vX_[185] + -0.011715295 * vX_[275] +
+ vX_[38] * vX_[345] + vX_[51] * vX_[326] + -1 * (vX_[299] + (vX_[154] * vX_[212]) / vX_[154]) +
+ vX_[235] * vX_[109] + vX_[222] * vX_[190] + vX_[252] * vX_[239] + vX_[209] * vX_[102] +
+ (vX_[234] * vX_[257]) / vX_[223] - 5.399998e-05 * vX_[216] - -0.0037997814 * (0 - vX_[313]);
+ vX_[326] = -2.327 * vX_[302] + -0.0055615274403 * vX_[275] + 0.647967112 * vX_[185] + vX_[26] * vX_[345] +
+ vX_[27] * vX_[326] + vX_[247] * vX_[109] + vX_[252] * vX_[190] + vX_[66] * vX_[239] +
+ vX_[58] * vX_[102] + (vX_[245] * vX_[257]) / vX_[223] - 0.01438086 * vX_[121];
+ vX_[313] = 2.327 * vX_[85] + 0.647967112 * vX_[216] + 0.01438086 * vX_[275] + -1 * vX_[288] + vX_[256] * vX_[109] +
+ vX_[209] * vX_[190] + vX_[58] * vX_[239] + vX_[79] * vX_[102] + (vX_[254] * vX_[257]) / vX_[223] -
+ -0.0055615274403 * vX_[313];
+ vX_[216] = -0.022851627 * vX_[14] - -0.002752 * vX_[5] - vX_[11] * vX_[258] - vX_[22] * vX_[32] -
+ vX_[15] * vX_[326] - vX_[34] * vX_[313];
+ jac[90] = (0 -
+ vX_[0] * (0.0055279857 * vX_[14] + -0.022851627 * vX_[296] + vX_[9] * vX_[258] + vX_[11] * vX_[32] +
+ vX_[12] * vX_[326] + vX_[30] * vX_[313] + vX_[13] * vX_[330] + vX_[265] * vX_[14] +
+ (vX_[43] * vX_[216]) / vX_[24] - 0.012390532 * vX_[5]) -
+ vX_[4] * (-0.034462002 * vX_[14] + (vX_[223] * vX_[257]) / vX_[223] + vX_[249] + vX_[265] * vX_[330] +
+ vX_[100] * vX_[14] + (-0.022851627 * vX_[216]) / vX_[24] - 0.0055279857 * vX_[5] -
+ -0.002752 * vX_[296])) /
+ vX_[385];
+ vX_[330] = vX_[0] * jac[90] + vX_[330];
+ vX_[14] = vX_[4] * jac[90] + vX_[14];
+ jac[91] = (vX_[216] - vX_[43] * vX_[330] - -0.022851627 * vX_[14]) / vX_[24];
+ vX_[109] = vX_[11] * jac[91] + vX_[9] * vX_[330] + vX_[109];
+ vX_[190] = vX_[22] * jac[91] + vX_[11] * vX_[330] + vX_[190];
+ vX_[239] = vX_[15] * jac[91] + vX_[12] * vX_[330] + vX_[239];
+ vX_[330] = vX_[34] * jac[91] + vX_[30] * vX_[330] + vX_[102];
+ jac[92] = (vX_[257] - vX_[223] * vX_[14] - vX_[221] * vX_[109] - vX_[234] * vX_[190] - vX_[245] * vX_[239] -
+ vX_[254] * vX_[330]) /
+ vX_[223];
+ vX_[257] = -1 * vX_[190];
+ vX_[14] = vX_[14] + jac[92];
+ vX_[151] = vX_[28] * vX_[14] + vX_[26] * vX_[109] + vX_[151];
+ vX_[14] = vX_[26] * vX_[14] + vX_[27] * vX_[109] + vX_[141];
+ vX_[330] = -0.304 * vX_[109] + -1 * vX_[330];
+ vX_[81] = vX_[26] * vX_[239] + vX_[38] * vX_[190] + vX_[81];
+ vX_[239] = vX_[27] * vX_[239] + vX_[51] * vX_[190] + vX_[240];
+ jac[93] = (vX_[212] - vX_[154] * vX_[257] - vX_[152] * vX_[151] - -0.00021200017 * vX_[14] - vX_[150] * vX_[330] -
+ vX_[168] * vX_[81] - vX_[184] * vX_[239]) /
+ vX_[154];
+ vX_[257] = vX_[257] + jac[93];
+ vX_[267] = vX_[49] * vX_[257] + vX_[48] * vX_[151] + vX_[267];
+ vX_[166] = vX_[63] * vX_[257] + vX_[49] * vX_[151] + vX_[166];
+ vX_[164] = vX_[76] * vX_[257] + vX_[77] * vX_[151] + vX_[78] * vX_[330] + vX_[49] * vX_[81] + vX_[164];
+ jac[94] =
+ (vX_[351] - vX_[117] * vX_[14] - vX_[108] * vX_[267] - vX_[122] * vX_[166] - vX_[172] * vX_[239] -
+ vX_[127] * (vX_[56] * vX_[257] + vX_[57] * vX_[151] + vX_[49] * vX_[330] + vX_[48] * vX_[81] + vX_[111]) -
+ vX_[134] * vX_[164]) /
+ vX_[117];
+ vX_[14] = vX_[14] + jac[94];
+ jac[95] = (vX_[171] - 0.009277 * vX_[267] - -0.000829 * (vX_[70] * vX_[14] + vX_[68] * vX_[166] + vX_[60]) -
+ 1.5e-05 * (vX_[68] * vX_[14] + vX_[67] * vX_[166] + vX_[97]) -
+ 0.038686875 * (vX_[84] * vX_[239] + vX_[68] * vX_[164] + vX_[94] * vX_[267] + vX_[105])) /
+ 0.009277;
+ vX_[14] = -vX_[16];
+ vX_[10] = vX_[10] + vX_[10];
+ vX_[164] = vX_[28] * vX_[36];
+ vX_[166] = vX_[28] * vX_[37];
+ vX_[267] = vX_[45] * vX_[26] + vX_[26] * vX_[45];
+ vX_[239] = vX_[48] * vX_[28];
+ vX_[105] = vX_[57] * vX_[28];
+ vX_[97] = vX_[239] * vX_[54] - (vX_[55] * vX_[105] + vX_[26] * vX_[59]);
+ vX_[60] = vX_[50] * vX_[26] + vX_[239] * vX_[55];
+ vX_[171] = vX_[55] * vX_[26] + vX_[26] * vX_[55];
+ vX_[257] = vX_[49] * vX_[28];
+ vX_[81] = vX_[64] * vX_[257] + vX_[257] * vX_[64];
+ vX_[330] = vX_[68] * vX_[257] + vX_[70] * vX_[26];
+ vX_[151] = vX_[67] * vX_[257] + vX_[68] * vX_[26];
+ vX_[351] = vX_[69] * vX_[330] + vX_[151] * vX_[73];
+ vX_[111] = vX_[77] * vX_[28];
+ vX_[212] = vX_[67] * vX_[111] + vX_[80] * vX_[239];
+ vX_[190] = vX_[75] * vX_[212] + vX_[239] * vX_[83];
+ vX_[240] = 0.02075 * vX_[26] + -0.184 * vX_[257] + vX_[105];
+ vX_[109] = vX_[69] * vX_[240] + vX_[151] * vX_[86];
+ vX_[141] = vX_[69] * vX_[239] + vX_[151] * vX_[75];
+ vX_[102] = vX_[73] * vX_[239] + vX_[330] * vX_[75];
+ vX_[216] = vX_[73] * vX_[330] + vX_[330] * vX_[73];
+ vX_[313] = vX_[69] * vX_[151] + vX_[151] * vX_[69];
+ vX_[326] = -0.00751 * vX_[351] + 0.038686875 * (vX_[190] - vX_[109]) + -0.000829 * vX_[141] - 1.5e-05 * vX_[102] -
+ 0.000198 * (vX_[216] - vX_[313]);
+ vX_[32] = 0 - vX_[326];
+ vX_[258] = (-vX_[151]) * x_in[11];
+ vX_[249] = vX_[330] * x_in[11];
+ vX_[296] = (-vX_[212]) * x_in[11];
+ vX_[109] = 0.038686875 * vX_[351] + -1.547475 * (vX_[109] - vX_[190]) + 0.00345708950900075 * vX_[258] +
+ -6.25528861700981e-05 * vX_[249] + 1.38614328745655 * vX_[296] + (0.038686875 * vX_[32]) / 0.009277;
+ vX_[190] = vX_[68] * vX_[111] + vX_[94] * vX_[239];
+ vX_[100] = vX_[75] * vX_[239] + vX_[239] * vX_[75];
+ vX_[240] = 1.547475 * (vX_[73] * vX_[240] + vX_[330] * vX_[86] - (vX_[75] * vX_[190] + vX_[239] * vX_[99])) +
+ 1.547475 * vX_[190] * x_in[11] - 0.038686875 * (vX_[100] + vX_[216]);
+ vX_[265] = (-vX_[257]) * x_in[10];
+ vX_[13] = vX_[239] * x_in[10];
+ vX_[5] = (-vX_[111]) * x_in[10];
+ vX_[275] = vX_[105] * x_in[10];
+ vX_[288] = vX_[64] * vX_[26] + vX_[257] * vX_[55];
+ vX_[85] = vX_[64] * vX_[239] + vX_[257] * vX_[50];
+ vX_[190] = vX_[69] * vX_[190] + vX_[151] * vX_[99] - (vX_[73] * vX_[212] + vX_[330] * vX_[83]);
+ vX_[313] = 0.000198 * vX_[102] + 1.5e-05 * (vX_[100] - vX_[313]) + 0.00315291990945349 * vX_[258] +
+ 0.000199340411771047 * vX_[249] + 0.00345708950900075 * vX_[296] + (-0.000829 * vX_[32]) / 0.009277 -
+ 0.038686875 * vX_[190] - -0.00146 * vX_[141] - -0.000829 * vX_[351];
+ vX_[100] = 0.00605 * vX_[102] + 1.5e-05 * vX_[351] + 0.000199340411771047 * vX_[258] +
+ 0.0107369757464698 * vX_[249] + -6.25528861700981e-05 * vX_[296] + (1.5e-05 * vX_[32]) / 0.009277 -
+ 0.000198 * vX_[141] - -0.000829 * (vX_[100] - vX_[216]);
+ vX_[190] = 0.038686875 * vX_[141] + 1.547475 * vX_[190] + -0.038686875 * vX_[258];
+ vX_[141] = vX_[50] * vX_[239] + vX_[239] * vX_[50];
+ vX_[216] = -0.001243 * vX_[288] + 0.009683 * vX_[85] + vX_[70] * vX_[313] + vX_[68] * vX_[100] +
+ 0.02075 * vX_[190] - -0.012652 * vX_[60] - -0.001387 * (vX_[141] - vX_[81]);
+ vX_[102] = 0 - vX_[216];
+ vX_[326] = 0.057838 * vX_[97] + -0.001387 * vX_[60] + -0.012652 * (vX_[171] - vX_[81]) +
+ (0.009277 * vX_[32]) / 0.009277 + vX_[326] + vX_[94] * vX_[109] + vX_[80] * vX_[240] +
+ vX_[119] * vX_[265] + vX_[123] * vX_[13] + vX_[129] * vX_[5] + vX_[136] * vX_[275] +
+ (vX_[108] * vX_[102]) / vX_[117] - -0.008386 * vX_[288] - -0.001243 * vX_[85];
+ vX_[351] = vX_[257] * vX_[54] - (vX_[55] * vX_[111] + vX_[26] * vX_[82]);
+ vX_[100] = -0.018069 * vX_[60] + 0.057838 * vX_[351] + -0.012652 * vX_[85] + vX_[68] * vX_[313] +
+ vX_[67] * vX_[100] + -0.184 * vX_[190] + vX_[123] * vX_[265] + vX_[116] * vX_[13] + vX_[132] * vX_[5] +
+ vX_[72] * vX_[275] + (vX_[122] * vX_[102]) / vX_[117] - -0.001387 * vX_[288] -
+ -0.001243 * (vX_[171] - vX_[141]);
+ vX_[351] = 0.057838 * vX_[60] + -2.1032 * vX_[351] + vX_[190] + vX_[129] * vX_[265] + vX_[132] * vX_[13] +
+ vX_[91] * vX_[5] + vX_[139] * vX_[275] + (vX_[127] * vX_[102]) / vX_[117];
+ vX_[288] = 0.057838 * vX_[288] + 2.1032 * vX_[97] + vX_[68] * vX_[109] + vX_[67] * vX_[240] + vX_[136] * vX_[265] +
+ vX_[72] * vX_[13] + vX_[139] * vX_[5] + vX_[62] * vX_[275] + (vX_[134] * vX_[102]) / vX_[117];
+ vX_[97] = (-vX_[26]) * x_in[9];
+ vX_[190] = vX_[28] * x_in[9];
+ vX_[36] = vX_[26] * vX_[36];
+ vX_[60] = vX_[45] * vX_[28] + vX_[26] * vX_[29];
+ vX_[313] = vX_[26] * vX_[37];
+ vX_[85] = vX_[29] * vX_[28] + vX_[28] * vX_[29];
+ vX_[171] = 0.160298259823722 * (0 - vX_[36]) + -0.06337651 * vX_[60] + -0.0022920002 * vX_[313] +
+ vX_[49] * vX_[326] + vX_[63] * vX_[100] + vX_[56] * vX_[351] + vX_[76] * vX_[288] -
+ -0.008711861 * vX_[164] - -0.00021200017 * vX_[166] - 0.0036857284 * (vX_[85] - vX_[267]);
+ vX_[212] = 0 - vX_[171];
+ vX_[151] = vX_[26] * vX_[41] - vX_[28] * vX_[54];
+ vX_[100] = 1.52322944854339e-09 * vX_[164] + 0.0036857284 * vX_[166] + -0.00021200017 * (0 - vX_[267]) +
+ vX_[48] * vX_[326] + vX_[49] * vX_[100] + vX_[57] * vX_[351] + vX_[77] * vX_[288] + vX_[156] * vX_[97] +
+ vX_[158] * vX_[190] + (vX_[152] * vX_[212]) / vX_[154] - 0.160298259823722 * vX_[151] -
+ 0.01404749 * vX_[313] - -0.0022920002 * vX_[60];
+ vX_[216] = -0.008711861 * vX_[151] + 1.52322944854339e-09 * vX_[36] + 0.077424 * vX_[166] +
+ -0.00021200017 * vX_[60] + (vX_[117] * vX_[102]) / vX_[117] + vX_[216] + vX_[158] * vX_[97] +
+ vX_[153] * vX_[190] + (-0.00021200017 * vX_[212]) / vX_[154] - 0.0036857284 * vX_[313] -
+ -0.0022920002 * (0 - vX_[85]);
+ vX_[151] = 1.7423722 * vX_[151] + 0.160298259823722 * vX_[313] + -0.008711861 * vX_[166] + vX_[49] * vX_[351] +
+ vX_[78] * vX_[288] + vX_[39] * vX_[97] + vX_[183] * vX_[190] + (vX_[150] * vX_[212]) / vX_[154] -
+ 1.52322944854339e-09 * (vX_[85] + vX_[267]);
+ vX_[326] = -0.0055615274403 * vX_[35] + -0.0037997814 * vX_[23] + vX_[28] * vX_[100] + vX_[26] * vX_[216] -
+ 0.01438086 * vX_[14] - -0.011715295 * vX_[18];
+ vX_[330] = 0 - vX_[326];
+ vX_[216] = 0.647967112 * vX_[14] + 5.399998e-05 * vX_[18] + -0.011715295 * vX_[10] + vX_[26] * vX_[100] +
+ vX_[27] * vX_[216] + -0.304 * vX_[151] + vX_[225] * vX_[322] + vX_[235] * vX_[18] + vX_[247] * vX_[325] +
+ vX_[256] * vX_[16] + (vX_[221] * vX_[330]) / vX_[223] - -0.192033951 * vX_[23];
+ vX_[35] = -vX_[35];
+ vX_[36] = -1.7423722 * vX_[36] + 0.160298259823722 * vX_[60] + 1.52322944854339e-09 * vX_[166] +
+ vX_[48] * vX_[351] + vX_[49] * vX_[288] + vX_[170] * vX_[97] + vX_[182] * vX_[190] +
+ (vX_[168] * vX_[212]) / vX_[154] - -0.008711861 * vX_[267];
+ vX_[85] = 1.7423722 * vX_[164] + 1.52322944854339e-09 * vX_[313] + -0.008711861 * vX_[60] +
+ 2.1032 * (vX_[64] * vX_[105] + vX_[257] * vX_[59] - (vX_[50] * vX_[111] + vX_[239] * vX_[82])) +
+ vX_[84] * vX_[109] + vX_[68] * vX_[240] + vX_[174] * vX_[265] + vX_[179] * vX_[13] + vX_[178] * vX_[5] +
+ vX_[175] * vX_[275] + (vX_[172] * vX_[102]) / vX_[117] + vX_[186] * vX_[97] + vX_[181] * vX_[190] +
+ (vX_[184] * vX_[212]) / vX_[154] - 0.160298259823722 * vX_[85] - 0.057838 * (vX_[141] + vX_[81]);
+ vX_[171] = 0.647967112 * vX_[35] + -0.199538951 * vX_[18] + vX_[38] * vX_[36] + vX_[51] * vX_[85] +
+ -1 * (vX_[171] + (vX_[154] * vX_[212]) / vX_[154]) + vX_[235] * vX_[322] + vX_[222] * vX_[18] +
+ vX_[252] * vX_[325] + vX_[209] * vX_[16] + (vX_[234] * vX_[330]) / vX_[223] - 5.399998e-05 * vX_[23] -
+ -0.0037997814 * vX_[10];
+ vX_[85] = -2.327 * vX_[35] + 0.647967112 * vX_[18] + vX_[26] * vX_[36] + vX_[27] * vX_[85] + vX_[247] * vX_[322] +
+ vX_[252] * vX_[18] + vX_[66] * vX_[325] + vX_[58] * vX_[16] + (vX_[245] * vX_[330]) / vX_[223] -
+ 0.01438086 * vX_[10];
+ vX_[151] = 2.327 * vX_[14] + 0.647967112 * vX_[23] + -1 * vX_[151] + vX_[256] * vX_[322] + vX_[209] * vX_[18] +
+ vX_[58] * vX_[325] + vX_[79] * vX_[16] + (vX_[254] * vX_[330]) / vX_[223] - -0.0055615274403 * vX_[10];
+ vX_[10] = 0 - vX_[11] * vX_[216] - vX_[22] * vX_[171] - vX_[15] * vX_[85] - vX_[34] * vX_[151];
+ jac[102] = (0 -
+ vX_[0] * (vX_[9] * vX_[216] + vX_[11] * vX_[171] + vX_[12] * vX_[85] + vX_[30] * vX_[151] +
+ (vX_[43] * vX_[10]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[330]) / vX_[223] + vX_[326] + (-0.022851627 * vX_[10]) / vX_[24])) /
+ vX_[385];
+ vX_[151] = vX_[0] * jac[102];
+ vX_[85] = vX_[4] * jac[102];
+ jac[103] = (vX_[10] - vX_[43] * vX_[151] - -0.022851627 * vX_[85]) / vX_[24];
+ vX_[322] = vX_[11] * jac[103] + vX_[9] * vX_[151] + vX_[322];
+ vX_[18] = vX_[22] * jac[103] + vX_[11] * vX_[151] + vX_[18];
+ vX_[325] = vX_[15] * jac[103] + vX_[12] * vX_[151] + vX_[325];
+ vX_[151] = vX_[34] * jac[103] + vX_[30] * vX_[151] + vX_[16];
+ jac[104] = (vX_[330] - vX_[223] * vX_[85] - vX_[221] * vX_[322] - vX_[234] * vX_[18] - vX_[245] * vX_[325] -
+ vX_[254] * vX_[151]) /
+ vX_[223];
+ vX_[330] = -1 * vX_[18];
+ vX_[85] = vX_[85] + jac[104];
+ vX_[97] = vX_[28] * vX_[85] + vX_[26] * vX_[322] + vX_[97];
+ vX_[85] = vX_[26] * vX_[85] + vX_[27] * vX_[322] + vX_[190];
+ vX_[151] = -0.304 * vX_[322] + -1 * vX_[151];
+ vX_[322] = vX_[26] * vX_[325] + vX_[38] * vX_[18];
+ vX_[325] = vX_[27] * vX_[325] + vX_[51] * vX_[18];
+ jac[105] = (vX_[212] - vX_[154] * vX_[330] - vX_[152] * vX_[97] - -0.00021200017 * vX_[85] - vX_[150] * vX_[151] -
+ vX_[168] * vX_[322] - vX_[184] * vX_[325]) /
+ vX_[154];
+ vX_[330] = vX_[330] + jac[105];
+ vX_[265] = vX_[49] * vX_[330] + vX_[48] * vX_[97] + vX_[265];
+ vX_[13] = vX_[63] * vX_[330] + vX_[49] * vX_[97] + vX_[13];
+ vX_[275] = vX_[76] * vX_[330] + vX_[77] * vX_[97] + vX_[78] * vX_[151] + vX_[49] * vX_[322] + vX_[275];
+ jac[106] =
+ (vX_[102] - vX_[117] * vX_[85] - vX_[108] * vX_[265] - vX_[122] * vX_[13] - vX_[172] * vX_[325] -
+ vX_[127] * (vX_[56] * vX_[330] + vX_[57] * vX_[97] + vX_[49] * vX_[151] + vX_[48] * vX_[322] + vX_[5]) -
+ vX_[134] * vX_[275]) /
+ vX_[117];
+ vX_[85] = vX_[85] + jac[106];
+ jac[107] = (vX_[32] - 0.009277 * vX_[265] - -0.000829 * (vX_[70] * vX_[85] + vX_[68] * vX_[13] + vX_[258]) -
+ 1.5e-05 * (vX_[68] * vX_[85] + vX_[67] * vX_[13] + vX_[249]) -
+ 0.038686875 * (vX_[84] * vX_[325] + vX_[68] * vX_[275] + vX_[94] * vX_[265] + vX_[296])) /
+ 0.009277;
+ vX_[85] = 0 - vX_[41];
+ vX_[37] = vX_[37] + vX_[37];
+ vX_[275] = vX_[49] * vX_[54] - vX_[55] * vX_[56];
+ vX_[13] = vX_[49] * vX_[55];
+ vX_[265] = vX_[64] * vX_[63] + vX_[63] * vX_[64];
+ vX_[325] = vX_[68] * vX_[63];
+ vX_[296] = vX_[67] * vX_[63];
+ vX_[249] = vX_[69] * vX_[325] + vX_[296] * vX_[73];
+ vX_[258] = vX_[67] * vX_[76] + vX_[80] * vX_[49];
+ vX_[32] = vX_[75] * vX_[258] + vX_[49] * vX_[83];
+ vX_[330] = -0.184 * vX_[63] + vX_[56];
+ vX_[322] = vX_[69] * vX_[330] + vX_[296] * vX_[86];
+ vX_[151] = vX_[69] * vX_[49] + vX_[296] * vX_[75];
+ vX_[97] = vX_[73] * vX_[49] + vX_[325] * vX_[75];
+ vX_[102] = vX_[73] * vX_[325] + vX_[325] * vX_[73];
+ vX_[5] = vX_[69] * vX_[296] + vX_[296] * vX_[69];
+ vX_[212] = -0.00751 * vX_[249] + 0.038686875 * (vX_[32] - vX_[322]) + -0.000829 * vX_[151] - 1.5e-05 * vX_[97] -
+ 0.000198 * (vX_[102] - vX_[5]);
+ vX_[18] = 0 - vX_[212];
+ vX_[190] = (-vX_[296]) * x_in[11];
+ vX_[16] = vX_[325] * x_in[11];
+ vX_[10] = (-vX_[258]) * x_in[11];
+ vX_[322] = 0.038686875 * vX_[249] + -1.547475 * (vX_[322] - vX_[32]) + 0.00345708950900075 * vX_[190] +
+ -6.25528861700981e-05 * vX_[16] + 1.38614328745655 * vX_[10] + (0.038686875 * vX_[18]) / 0.009277;
+ vX_[32] = vX_[68] * vX_[76] + vX_[94] * vX_[49];
+ vX_[171] = vX_[75] * vX_[49] + vX_[49] * vX_[75];
+ vX_[330] = 1.547475 * (vX_[73] * vX_[330] + vX_[325] * vX_[86] - (vX_[75] * vX_[32] + vX_[49] * vX_[99])) +
+ 1.547475 * vX_[32] * x_in[11] - 0.038686875 * (vX_[171] + vX_[102]);
+ vX_[216] = (-vX_[63]) * x_in[10];
+ vX_[326] = vX_[49] * x_in[10];
+ vX_[14] = (-vX_[76]) * x_in[10];
+ vX_[79] = vX_[56] * x_in[10];
+ vX_[58] = vX_[63] * vX_[55];
+ vX_[209] = vX_[64] * vX_[49] + vX_[63] * vX_[50];
+ vX_[32] = vX_[69] * vX_[32] + vX_[296] * vX_[99] - (vX_[73] * vX_[258] + vX_[325] * vX_[83]);
+ vX_[5] = 0.000198 * vX_[97] + 1.5e-05 * (vX_[171] - vX_[5]) + 0.00315291990945349 * vX_[190] +
+ 0.000199340411771047 * vX_[16] + 0.00345708950900075 * vX_[10] + (-0.000829 * vX_[18]) / 0.009277 -
+ 0.038686875 * vX_[32] - -0.00146 * vX_[151] - -0.000829 * vX_[249];
+ vX_[171] = 0.00605 * vX_[97] + 1.5e-05 * vX_[249] + 0.000199340411771047 * vX_[190] + 0.0107369757464698 * vX_[16] +
+ -6.25528861700981e-05 * vX_[10] + (1.5e-05 * vX_[18]) / 0.009277 - 0.000198 * vX_[151] -
+ -0.000829 * (vX_[171] - vX_[102]);
+ vX_[32] = 0.038686875 * vX_[151] + 1.547475 * vX_[32] + -0.038686875 * vX_[190];
+ vX_[151] = vX_[50] * vX_[49] + vX_[49] * vX_[50];
+ vX_[102] = -0.001243 * vX_[58] + 0.009683 * vX_[209] + vX_[70] * vX_[5] + vX_[68] * vX_[171] + 0.02075 * vX_[32] -
+ -0.012652 * vX_[13] - -0.001387 * (vX_[151] - vX_[265]);
+ vX_[97] = 0 - vX_[102];
+ vX_[212] = 0.057838 * vX_[275] + -0.001387 * vX_[13] + -0.012652 * (0 - vX_[265]) +
+ (0.009277 * vX_[18]) / 0.009277 + vX_[212] + vX_[94] * vX_[322] + vX_[80] * vX_[330] +
+ vX_[119] * vX_[216] + vX_[123] * vX_[326] + vX_[129] * vX_[14] + vX_[136] * vX_[79] +
+ (vX_[108] * vX_[97]) / vX_[117] - -0.008386 * vX_[58] - -0.001243 * vX_[209];
+ vX_[249] = vX_[63] * vX_[54] - vX_[55] * vX_[76];
+ vX_[171] = -0.018069 * vX_[13] + 0.057838 * vX_[249] + -0.012652 * vX_[209] + vX_[68] * vX_[5] +
+ vX_[67] * vX_[171] + -0.184 * vX_[32] + vX_[123] * vX_[216] + vX_[116] * vX_[326] + vX_[132] * vX_[14] +
+ vX_[72] * vX_[79] + (vX_[122] * vX_[97]) / vX_[117] - -0.001387 * vX_[58] - -0.001243 * (0 - vX_[151]);
+ vX_[249] = 0.057838 * vX_[13] + -2.1032 * vX_[249] + vX_[32] + vX_[129] * vX_[216] + vX_[132] * vX_[326] +
+ vX_[91] * vX_[14] + vX_[139] * vX_[79] + (vX_[127] * vX_[97]) / vX_[117];
+ vX_[58] = 0.057838 * vX_[58] + 2.1032 * vX_[275] + vX_[68] * vX_[322] + vX_[67] * vX_[330] + vX_[136] * vX_[216] +
+ vX_[72] * vX_[326] + vX_[139] * vX_[14] + vX_[62] * vX_[79] + (vX_[134] * vX_[97]) / vX_[117];
+ vX_[275] = 0.160298259823722 * vX_[54] + -0.0022920002 * vX_[45] + vX_[49] * vX_[212] + vX_[63] * vX_[171] +
+ vX_[56] * vX_[249] + vX_[76] * vX_[58] - -0.008711861 * vX_[85] - -0.00021200017 * vX_[29];
+ vX_[32] = 0 - vX_[275];
+ vX_[171] = 1.52322944854339e-09 * vX_[85] + 0.0036857284 * vX_[29] + -0.00021200017 * vX_[37] + vX_[48] * vX_[212] +
+ vX_[49] * vX_[171] + vX_[57] * vX_[249] + vX_[77] * vX_[58] + vX_[156] * vX_[279] + vX_[158] * vX_[29] +
+ vX_[170] * vX_[283] + vX_[186] * vX_[41] + (vX_[152] * vX_[32]) / vX_[154] - 0.01404749 * vX_[45];
+ vX_[102] = 1.52322944854339e-09 * (0 - vX_[54]) + 0.077424 * vX_[29] + (vX_[117] * vX_[97]) / vX_[117] + vX_[102] +
+ vX_[158] * vX_[279] + vX_[153] * vX_[29] + vX_[182] * vX_[283] + vX_[181] * vX_[41] +
+ (-0.00021200017 * vX_[32]) / vX_[154] - 0.0036857284 * vX_[45] - -0.0022920002 * vX_[37];
+ vX_[199] = 0.160298259823722 * vX_[45] + -0.008711861 * vX_[29] + vX_[49] * vX_[249] + vX_[78] * vX_[58] +
+ vX_[39] * vX_[279] + vX_[183] * vX_[29] + vX_[197] * vX_[283] + vX_[199] * vX_[41] +
+ (vX_[150] * vX_[32]) / vX_[154];
+ vX_[197] = vX_[28] * vX_[171] + vX_[26] * vX_[102];
+ vX_[183] = 0 - vX_[197];
+ vX_[102] = vX_[26] * vX_[171] + vX_[27] * vX_[102] + -0.304 * vX_[199] + (vX_[221] * vX_[183]) / vX_[223];
+ vX_[58] = -1.7423722 * (0 - vX_[54]) + 1.52322944854339e-09 * vX_[29] + vX_[48] * vX_[249] + vX_[49] * vX_[58] +
+ vX_[170] * vX_[279] + vX_[182] * vX_[29] + vX_[202] * vX_[283] + vX_[206] * vX_[41] +
+ (vX_[168] * vX_[32]) / vX_[154] - -0.008711861 * vX_[37];
+ vX_[151] = 1.7423722 * vX_[85] + 1.52322944854339e-09 * vX_[45] +
+ 2.1032 * (vX_[64] * vX_[56] + vX_[63] * vX_[59] - (vX_[50] * vX_[76] + vX_[49] * vX_[82])) +
+ vX_[84] * vX_[322] + vX_[68] * vX_[330] + vX_[174] * vX_[216] + vX_[179] * vX_[326] +
+ vX_[178] * vX_[14] + vX_[175] * vX_[79] + (vX_[172] * vX_[97]) / vX_[117] + vX_[186] * vX_[279] +
+ vX_[181] * vX_[29] + vX_[206] * vX_[283] + vX_[204] * vX_[41] + (vX_[184] * vX_[32]) / vX_[154] -
+ 0.160298259823722 * vX_[37] - 0.057838 * (vX_[151] + vX_[265]);
+ vX_[275] = vX_[38] * vX_[58] + vX_[51] * vX_[151] + -1 * (vX_[275] + (vX_[154] * vX_[32]) / vX_[154]) +
+ (vX_[234] * vX_[183]) / vX_[223];
+ vX_[151] = vX_[26] * vX_[58] + vX_[27] * vX_[151] + (vX_[245] * vX_[183]) / vX_[223];
+ vX_[199] = -1 * vX_[199] + (vX_[254] * vX_[183]) / vX_[223];
+ vX_[58] = 0 - vX_[11] * vX_[102] - vX_[22] * vX_[275] - vX_[15] * vX_[151] - vX_[34] * vX_[199];
+ jac[114] = (0 -
+ vX_[0] * (vX_[9] * vX_[102] + vX_[11] * vX_[275] + vX_[12] * vX_[151] + vX_[30] * vX_[199] +
+ (vX_[43] * vX_[58]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[183]) / vX_[223] + vX_[197] + (-0.022851627 * vX_[58]) / vX_[24])) /
+ vX_[385];
+ vX_[199] = vX_[0] * jac[114];
+ vX_[151] = vX_[4] * jac[114];
+ jac[115] = (vX_[58] - vX_[43] * vX_[199] - -0.022851627 * vX_[151]) / vX_[24];
+ vX_[58] = vX_[11] * jac[115] + vX_[9] * vX_[199];
+ vX_[275] = vX_[22] * jac[115] + vX_[11] * vX_[199];
+ vX_[102] = vX_[15] * jac[115] + vX_[12] * vX_[199];
+ vX_[199] = vX_[34] * jac[115] + vX_[30] * vX_[199];
+ jac[116] = (vX_[183] - vX_[223] * vX_[151] - vX_[221] * vX_[58] - vX_[234] * vX_[275] - vX_[245] * vX_[102] -
+ vX_[254] * vX_[199]) /
+ vX_[223];
+ vX_[183] = -1 * vX_[275];
+ vX_[151] = vX_[151] + jac[116];
+ vX_[279] = vX_[28] * vX_[151] + vX_[26] * vX_[58] + vX_[279];
+ vX_[151] = vX_[26] * vX_[151] + vX_[27] * vX_[58] + vX_[29];
+ vX_[199] = -0.304 * vX_[58] + -1 * vX_[199];
+ vX_[283] = vX_[26] * vX_[102] + vX_[38] * vX_[275] + vX_[283];
+ vX_[102] = vX_[27] * vX_[102] + vX_[51] * vX_[275] + vX_[41];
+ jac[117] = (vX_[32] - vX_[154] * vX_[183] - vX_[152] * vX_[279] - -0.00021200017 * vX_[151] - vX_[150] * vX_[199] -
+ vX_[168] * vX_[283] - vX_[184] * vX_[102]) /
+ vX_[154];
+ vX_[183] = vX_[183] + jac[117];
+ vX_[216] = vX_[49] * vX_[183] + vX_[48] * vX_[279] + vX_[216];
+ vX_[326] = vX_[63] * vX_[183] + vX_[49] * vX_[279] + vX_[326];
+ vX_[79] = vX_[76] * vX_[183] + vX_[77] * vX_[279] + vX_[78] * vX_[199] + vX_[49] * vX_[283] + vX_[79];
+ jac[118] =
+ (vX_[97] - vX_[117] * vX_[151] - vX_[108] * vX_[216] - vX_[122] * vX_[326] - vX_[172] * vX_[102] -
+ vX_[127] * (vX_[56] * vX_[183] + vX_[57] * vX_[279] + vX_[49] * vX_[199] + vX_[48] * vX_[283] + vX_[14]) -
+ vX_[134] * vX_[79]) /
+ vX_[117];
+ vX_[151] = vX_[151] + jac[118];
+ jac[119] = (vX_[18] - 0.009277 * vX_[216] - -0.000829 * (vX_[70] * vX_[151] + vX_[68] * vX_[326] + vX_[190]) -
+ 1.5e-05 * (vX_[68] * vX_[151] + vX_[67] * vX_[326] + vX_[16]) -
+ 0.038686875 * (vX_[84] * vX_[102] + vX_[68] * vX_[79] + vX_[94] * vX_[216] + vX_[10])) /
+ 0.009277;
+ vX_[151] = 0 - vX_[59];
+ vX_[55] = vX_[55] + vX_[55];
+ vX_[79] = vX_[69] * vX_[70] + vX_[68] * vX_[73];
+ vX_[326] = vX_[69] * 0.02075 + vX_[68] * vX_[86];
+ vX_[216] = vX_[68] * vX_[75];
+ vX_[102] = vX_[70] * vX_[75];
+ vX_[10] = vX_[73] * vX_[70] + vX_[70] * vX_[73];
+ vX_[16] = vX_[69] * vX_[68] + vX_[68] * vX_[69];
+ vX_[190] = -0.00751 * vX_[79] + 0.038686875 * (0 - vX_[326]) + -0.000829 * vX_[216] - 1.5e-05 * vX_[102] -
+ 0.000198 * (vX_[10] - vX_[16]);
+ vX_[18] = 0 - vX_[190];
+ vX_[183] = (-vX_[68]) * x_in[11];
+ vX_[283] = vX_[70] * x_in[11];
+ vX_[326] = 0.038686875 * vX_[79] + -1.547475 * vX_[326] + 0.00345708950900075 * vX_[183] +
+ -6.25528861700981e-05 * vX_[283] + (0.038686875 * vX_[18]) / 0.009277;
+ vX_[86] = 1.547475 * (vX_[73] * 0.02075 + vX_[70] * vX_[86]) - 0.038686875 * vX_[10];
+ vX_[199] = vX_[68] * vX_[99] - vX_[70] * vX_[83];
+ vX_[16] = 0.000198 * vX_[102] + 1.5e-05 * (0 - vX_[16]) + 0.00315291990945349 * vX_[183] +
+ 0.000199340411771047 * vX_[283] + (-0.000829 * vX_[18]) / 0.009277 - 0.038686875 * vX_[199] -
+ -0.00146 * vX_[216] - -0.000829 * vX_[79];
+ vX_[10] = 0.00605 * vX_[102] + 1.5e-05 * vX_[79] + 0.000199340411771047 * vX_[183] + 0.0107369757464698 * vX_[283] +
+ (1.5e-05 * vX_[18]) / 0.009277 - 0.000198 * vX_[216] - -0.000829 * (0 - vX_[10]);
+ vX_[199] = 0.038686875 * vX_[216] + 1.547475 * vX_[199] + -0.038686875 * vX_[183];
+ vX_[216] = -0.001243 * vX_[64] + vX_[70] * vX_[16] + vX_[68] * vX_[10] + 0.02075 * vX_[199] - -0.012652 * vX_[50];
+ vX_[102] = 0 - vX_[216];
+ vX_[190] = 0.057838 * vX_[151] + -0.001387 * vX_[50] + -0.012652 * vX_[55] + (0.009277 * vX_[18]) / 0.009277 +
+ vX_[190] + vX_[94] * vX_[326] + vX_[80] * vX_[86] + vX_[119] * vX_[298] + vX_[123] * vX_[50] +
+ vX_[129] * vX_[301] + vX_[136] * vX_[59] + (vX_[108] * vX_[102]) / vX_[117] - -0.008386 * vX_[64];
+ vX_[82] = 0 - vX_[82];
+ vX_[10] = -0.018069 * vX_[50] + 0.057838 * vX_[82] + vX_[68] * vX_[16] + vX_[67] * vX_[10] + -0.184 * vX_[199] +
+ vX_[123] * vX_[298] + vX_[116] * vX_[50] + vX_[132] * vX_[301] + vX_[72] * vX_[59] +
+ (vX_[122] * vX_[102]) / vX_[117] - -0.001387 * vX_[64] - -0.001243 * vX_[55];
+ vX_[82] = 0.057838 * vX_[50] + -2.1032 * vX_[82] + vX_[199] + vX_[129] * vX_[298] + vX_[132] * vX_[50] +
+ vX_[91] * vX_[301] + vX_[139] * vX_[59] + (vX_[127] * vX_[102]) / vX_[117];
+ vX_[151] = 0.057838 * vX_[64] + 2.1032 * vX_[151] + vX_[68] * vX_[326] + vX_[67] * vX_[86] + vX_[136] * vX_[298] +
+ vX_[72] * vX_[50] + vX_[139] * vX_[301] + vX_[62] * vX_[59] + (vX_[134] * vX_[102]) / vX_[117];
+ vX_[62] = vX_[49] * vX_[190] + vX_[63] * vX_[10] + vX_[56] * vX_[82] + vX_[76] * vX_[151];
+ vX_[139] = 0 - vX_[62];
+ vX_[10] = vX_[48] * vX_[190] + vX_[49] * vX_[10] + vX_[57] * vX_[82] + vX_[77] * vX_[151] +
+ (vX_[152] * vX_[139]) / vX_[154];
+ vX_[216] = (vX_[117] * vX_[102]) / vX_[117] + vX_[216] + (-0.00021200017 * vX_[139]) / vX_[154];
+ vX_[190] = vX_[49] * vX_[82] + vX_[78] * vX_[151] + (vX_[150] * vX_[139]) / vX_[154];
+ vX_[72] = vX_[28] * vX_[10] + vX_[26] * vX_[216];
+ vX_[136] = 0 - vX_[72];
+ vX_[216] = vX_[26] * vX_[10] + vX_[27] * vX_[216] + -0.304 * vX_[190] + (vX_[221] * vX_[136]) / vX_[223];
+ vX_[151] = vX_[48] * vX_[82] + vX_[49] * vX_[151] + (vX_[168] * vX_[139]) / vX_[154];
+ vX_[86] = vX_[84] * vX_[326] + vX_[68] * vX_[86] + vX_[174] * vX_[298] + vX_[179] * vX_[50] + vX_[178] * vX_[301] +
+ vX_[175] * vX_[59] + (vX_[172] * vX_[102]) / vX_[117] + (vX_[184] * vX_[139]) / vX_[154];
+ vX_[62] = vX_[38] * vX_[151] + vX_[51] * vX_[86] + -1 * (vX_[62] + (vX_[154] * vX_[139]) / vX_[154]) +
+ (vX_[234] * vX_[136]) / vX_[223];
+ vX_[86] = vX_[26] * vX_[151] + vX_[27] * vX_[86] + (vX_[245] * vX_[136]) / vX_[223];
+ vX_[190] = -1 * vX_[190] + (vX_[254] * vX_[136]) / vX_[223];
+ vX_[151] = 0 - vX_[11] * vX_[216] - vX_[22] * vX_[62] - vX_[15] * vX_[86] - vX_[34] * vX_[190];
+ jac[126] = (0 -
+ vX_[0] * (vX_[9] * vX_[216] + vX_[11] * vX_[62] + vX_[12] * vX_[86] + vX_[30] * vX_[190] +
+ (vX_[43] * vX_[151]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[136]) / vX_[223] + vX_[72] + (-0.022851627 * vX_[151]) / vX_[24])) /
+ vX_[385];
+ vX_[190] = vX_[0] * jac[126];
+ vX_[86] = vX_[4] * jac[126];
+ jac[127] = (vX_[151] - vX_[43] * vX_[190] - -0.022851627 * vX_[86]) / vX_[24];
+ vX_[151] = vX_[11] * jac[127] + vX_[9] * vX_[190];
+ vX_[62] = vX_[22] * jac[127] + vX_[11] * vX_[190];
+ vX_[216] = vX_[15] * jac[127] + vX_[12] * vX_[190];
+ vX_[190] = vX_[34] * jac[127] + vX_[30] * vX_[190];
+ jac[128] = (vX_[136] - vX_[223] * vX_[86] - vX_[221] * vX_[151] - vX_[234] * vX_[62] - vX_[245] * vX_[216] -
+ vX_[254] * vX_[190]) /
+ vX_[223];
+ vX_[136] = -1 * vX_[62];
+ vX_[86] = vX_[86] + jac[128];
+ vX_[72] = vX_[28] * vX_[86] + vX_[26] * vX_[151];
+ vX_[86] = vX_[26] * vX_[86] + vX_[27] * vX_[151];
+ vX_[190] = -0.304 * vX_[151] + -1 * vX_[190];
+ vX_[151] = vX_[26] * vX_[216] + vX_[38] * vX_[62];
+ vX_[216] = vX_[27] * vX_[216] + vX_[51] * vX_[62];
+ jac[129] = (vX_[139] - vX_[154] * vX_[136] - vX_[152] * vX_[72] - -0.00021200017 * vX_[86] - vX_[150] * vX_[190] -
+ vX_[168] * vX_[151] - vX_[184] * vX_[216]) /
+ vX_[154];
+ vX_[136] = vX_[136] + jac[129];
+ vX_[298] = vX_[49] * vX_[136] + vX_[48] * vX_[72] + vX_[298];
+ vX_[50] = vX_[63] * vX_[136] + vX_[49] * vX_[72] + vX_[50];
+ vX_[59] = vX_[76] * vX_[136] + vX_[77] * vX_[72] + vX_[78] * vX_[190] + vX_[49] * vX_[151] + vX_[59];
+ jac[130] =
+ (vX_[102] - vX_[117] * vX_[86] - vX_[108] * vX_[298] - vX_[122] * vX_[50] - vX_[172] * vX_[216] -
+ vX_[127] * (vX_[56] * vX_[136] + vX_[57] * vX_[72] + vX_[49] * vX_[190] + vX_[48] * vX_[151] + vX_[301]) -
+ vX_[134] * vX_[59]) /
+ vX_[117];
+ vX_[86] = vX_[86] + jac[130];
+ jac[131] = (vX_[18] - 0.009277 * vX_[298] - -0.000829 * (vX_[70] * vX_[86] + vX_[68] * vX_[50] + vX_[183]) -
+ 1.5e-05 * (vX_[68] * vX_[86] + vX_[67] * vX_[50] + vX_[283]) -
+ 0.038686875 * (vX_[84] * vX_[216] + vX_[68] * vX_[59] + vX_[94] * vX_[298])) /
+ 0.009277;
+ vX_[86] = 0.038686875 * vX_[83] + -0.000829 * vX_[69] - 1.5e-05 * vX_[73];
+ vX_[59] = 0 - vX_[86];
+ vX_[83] = -1.547475 * (0 - vX_[83]) + 0.00345708950900075 * vX_[292] + -6.25528861700981e-05 * vX_[73] +
+ 1.38614328745655 * vX_[295] + (0.038686875 * vX_[59]) / 0.009277;
+ vX_[75] = vX_[75] + vX_[75];
+ vX_[99] = 1.547475 * (0 - vX_[99]) + 1.547475 * vX_[99] - 0.038686875 * vX_[75];
+ vX_[50] = 0.000198 * vX_[73] + 1.5e-05 * vX_[75] + 0.00315291990945349 * vX_[292] + 0.000199340411771047 * vX_[73] +
+ 0.00345708950900075 * vX_[295] + (-0.000829 * vX_[59]) / 0.009277 - -0.00146 * vX_[69];
+ vX_[75] = 0.00605 * vX_[73] + 0.000199340411771047 * vX_[292] + 0.0107369757464698 * vX_[73] +
+ -6.25528861700981e-05 * vX_[295] + (1.5e-05 * vX_[59]) / 0.009277 - 0.000198 * vX_[69] -
+ -0.000829 * vX_[75];
+ vX_[69] = 0.038686875 * vX_[69] + -0.038686875 * vX_[292];
+ vX_[298] = vX_[70] * vX_[50] + vX_[68] * vX_[75] + 0.02075 * vX_[69];
+ vX_[216] = 0 - vX_[298];
+ vX_[86] = (0.009277 * vX_[59]) / 0.009277 + vX_[86] + vX_[94] * vX_[83] + vX_[80] * vX_[99] +
+ (vX_[108] * vX_[216]) / vX_[117];
+ vX_[75] = vX_[68] * vX_[50] + vX_[67] * vX_[75] + -0.184 * vX_[69] + (vX_[122] * vX_[216]) / vX_[117];
+ vX_[69] = vX_[69] + (vX_[127] * vX_[216]) / vX_[117];
+ vX_[50] = vX_[68] * vX_[83] + vX_[67] * vX_[99] + (vX_[134] * vX_[216]) / vX_[117];
+ vX_[80] = vX_[49] * vX_[86] + vX_[63] * vX_[75] + vX_[56] * vX_[69] + vX_[76] * vX_[50];
+ vX_[283] = 0 - vX_[80];
+ vX_[75] = vX_[48] * vX_[86] + vX_[49] * vX_[75] + vX_[57] * vX_[69] + vX_[77] * vX_[50] +
+ (vX_[152] * vX_[283]) / vX_[154];
+ vX_[298] = (vX_[117] * vX_[216]) / vX_[117] + vX_[298] + (-0.00021200017 * vX_[283]) / vX_[154];
+ vX_[86] = vX_[49] * vX_[69] + vX_[78] * vX_[50] + (vX_[150] * vX_[283]) / vX_[154];
+ vX_[183] = vX_[28] * vX_[75] + vX_[26] * vX_[298];
+ vX_[18] = 0 - vX_[183];
+ vX_[298] = vX_[26] * vX_[75] + vX_[27] * vX_[298] + -0.304 * vX_[86] + (vX_[221] * vX_[18]) / vX_[223];
+ vX_[50] = vX_[48] * vX_[69] + vX_[49] * vX_[50] + (vX_[168] * vX_[283]) / vX_[154];
+ vX_[99] =
+ vX_[84] * vX_[83] + vX_[68] * vX_[99] + (vX_[172] * vX_[216]) / vX_[117] + (vX_[184] * vX_[283]) / vX_[154];
+ vX_[80] = vX_[38] * vX_[50] + vX_[51] * vX_[99] + -1 * (vX_[80] + (vX_[154] * vX_[283]) / vX_[154]) +
+ (vX_[234] * vX_[18]) / vX_[223];
+ vX_[99] = vX_[26] * vX_[50] + vX_[27] * vX_[99] + (vX_[245] * vX_[18]) / vX_[223];
+ vX_[86] = -1 * vX_[86] + (vX_[254] * vX_[18]) / vX_[223];
+ vX_[50] = 0 - vX_[11] * vX_[298] - vX_[22] * vX_[80] - vX_[15] * vX_[99] - vX_[34] * vX_[86];
+ jac[138] = (0 -
+ vX_[0] * (vX_[9] * vX_[298] + vX_[11] * vX_[80] + vX_[12] * vX_[99] + vX_[30] * vX_[86] +
+ (vX_[43] * vX_[50]) / vX_[24]) -
+ vX_[4] * ((vX_[223] * vX_[18]) / vX_[223] + vX_[183] + (-0.022851627 * vX_[50]) / vX_[24])) /
+ vX_[385];
+ vX_[0] = vX_[0] * jac[138];
+ vX_[4] = vX_[4] * jac[138];
+ jac[139] = (vX_[50] - vX_[43] * vX_[0] - -0.022851627 * vX_[4]) / vX_[24];
+ vX_[9] = vX_[11] * jac[139] + vX_[9] * vX_[0];
+ vX_[22] = vX_[22] * jac[139] + vX_[11] * vX_[0];
+ vX_[15] = vX_[15] * jac[139] + vX_[12] * vX_[0];
+ vX_[0] = vX_[34] * jac[139] + vX_[30] * vX_[0];
+ jac[140] = (vX_[18] - vX_[223] * vX_[4] - vX_[221] * vX_[9] - vX_[234] * vX_[22] - vX_[245] * vX_[15] -
+ vX_[254] * vX_[0]) /
+ vX_[223];
+ vX_[18] = -1 * vX_[22];
+ vX_[4] = vX_[4] + jac[140];
+ vX_[28] = vX_[28] * vX_[4] + vX_[26] * vX_[9];
+ vX_[4] = vX_[26] * vX_[4] + vX_[27] * vX_[9];
+ vX_[0] = -0.304 * vX_[9] + -1 * vX_[0];
+ vX_[38] = vX_[26] * vX_[15] + vX_[38] * vX_[22];
+ vX_[15] = vX_[27] * vX_[15] + vX_[51] * vX_[22];
+ jac[141] = (vX_[283] - vX_[154] * vX_[18] - vX_[152] * vX_[28] - -0.00021200017 * vX_[4] - vX_[150] * vX_[0] -
+ vX_[168] * vX_[38] - vX_[184] * vX_[15]) /
+ vX_[154];
+ vX_[18] = vX_[18] + jac[141];
+ vX_[283] = vX_[49] * vX_[18] + vX_[48] * vX_[28];
+ vX_[63] = vX_[63] * vX_[18] + vX_[49] * vX_[28];
+ vX_[78] = vX_[76] * vX_[18] + vX_[77] * vX_[28] + vX_[78] * vX_[0] + vX_[49] * vX_[38];
+ jac[142] = (vX_[216] - vX_[117] * vX_[4] - vX_[108] * vX_[283] - vX_[122] * vX_[63] - vX_[172] * vX_[15] -
+ vX_[127] * (vX_[56] * vX_[18] + vX_[57] * vX_[28] + vX_[49] * vX_[0] + vX_[48] * vX_[38]) -
+ vX_[134] * vX_[78]) /
+ vX_[117];
+ vX_[4] = vX_[4] + jac[142];
+ jac[143] = (vX_[59] - 0.009277 * vX_[283] - -0.000829 * (vX_[70] * vX_[4] + vX_[68] * vX_[63] + vX_[292]) -
+ 1.5e-05 * (vX_[68] * vX_[4] + vX_[67] * vX_[63] + vX_[73]) -
+ 0.038686875 * (vX_[84] * vX_[15] + vX_[68] * vX_[78] + vX_[94] * vX_[283] + vX_[295])) /
+ 0.009277;
+ // dependent variables without operations
+ jac[72] = 1;
+ jac[85] = 1;
+ jac[98] = 1;
+ jac[111] = 1;
+ jac[124] = 1;
+ jac[137] = 1;
+
+
+ return dFdx_;
+}
+
+const HyALinearizedForward::state_control_matrix_t& HyALinearizedForward::getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdu_.data();
+ Eigen::Matrix<double, 12 + 6, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = sin(x_in[1]);
+ vU_[1] = cos(x_in[2]);
+ vU_[2] = 0 - vU_[1];
+ vU_[3] = sin(x_in[3]);
+ vU_[4] = -0.304 * vU_[3];
+ vU_[5] = -1 * vU_[4];
+ vU_[6] = cos(x_in[4]);
+ vU_[7] = 0 - vU_[6];
+ vU_[8] = cos(x_in[5]);
+ vU_[9] = sin(x_in[5]);
+ vU_[10] = 0 - vU_[9];
+ vU_[11] = -6.25528861700981e-05 * vU_[8] + 0.00345708950900075 * vU_[10];
+ vU_[12] = vU_[11] * vU_[8];
+ vU_[13] = -0.184 * vU_[8] + 0.02075 * vU_[10];
+ vU_[14] = 1.547475 * vU_[13];
+ vU_[15] = -0.038686875 + vU_[14];
+ vU_[16] = 0 - vU_[15];
+ vU_[17] = 0.184 * vU_[9] - 0.02075 * vU_[8];
+ vU_[18] = 0 - 1.547475 * vU_[17];
+ vU_[19] = vU_[9] * vU_[16] + vU_[8] * vU_[18];
+ vU_[20] = 1.547475 * vU_[17];
+ vU_[21] = 0 - 1.38614328745655 * vU_[13];
+ vU_[22] = vU_[20] * vU_[17] - vU_[21] * vU_[13];
+ vU_[23] = 0.0107369757464698 - vU_[18] * vU_[17] - vU_[22];
+ vU_[17] = 0.000199340411771047 + vU_[18] * vU_[13] - -0.038686875 * vU_[17];
+ vU_[24] = vU_[8] * vU_[23] + vU_[10] * vU_[17];
+ vU_[14] = 0.00315291990945349 + -0.07737375 * vU_[13] + vU_[14] * vU_[13] - vU_[22];
+ vU_[17] = vU_[8] * vU_[17] + vU_[10] * vU_[14];
+ vU_[25] = vU_[24] * vU_[8] + vU_[17] * vU_[10];
+ vU_[26] = 0.011046 + vU_[22] + vU_[25];
+ vU_[27] = vU_[19] / vU_[26];
+ vU_[28] = 0 - vU_[12] * vU_[27];
+ vU_[29] = sin(x_in[4]);
+ vU_[30] = 3.650675 - vU_[19] * vU_[27];
+ vU_[31] = -0.161331712543454 * vU_[10];
+ vU_[32] = vU_[31] * vU_[10];
+ vU_[11] = vU_[11] * vU_[10];
+ vU_[33] = vU_[11] / vU_[26];
+ vU_[34] = 3.650675 + vU_[32] - vU_[11] * vU_[33];
+ vU_[35] = vU_[30] - vU_[34];
+ vU_[36] = vU_[7] * vU_[28] + vU_[29] * vU_[35];
+ vU_[37] = vU_[12] / vU_[26];
+ vU_[32] = 3.48934328745655 - vU_[32] - vU_[12] * vU_[37];
+ vU_[38] = vU_[32] - vU_[34];
+ vU_[39] = vU_[29] * vU_[28];
+ vU_[40] = vU_[7] * vU_[38] + vU_[39];
+ vU_[41] = -0.112 * vU_[29];
+ vU_[42] = 0.112 * vU_[6];
+ vU_[43] = vU_[29] * vU_[41] + vU_[7] * vU_[42];
+ vU_[30] = vU_[43] * vU_[30];
+ vU_[16] = vU_[8] * vU_[16] + vU_[10] * vU_[18];
+ vU_[17] = -0.012652 + vU_[17] * vU_[8] + vU_[24] * vU_[9];
+ vU_[24] = -0.057838 - vU_[16] - vU_[17] * vU_[27];
+ vU_[44] = vU_[30] + vU_[24];
+ vU_[45] = 0 - -6.25528861700981e-05 * vU_[13];
+ vU_[13] = 0 - 0.00345708950900075 * vU_[13];
+ vU_[46] = 0 - vU_[13];
+ vU_[47] = -0.001243 + vU_[8] * vU_[45] + vU_[9] * vU_[46];
+ vU_[27] = 0 - vU_[47] * vU_[27];
+ vU_[48] = vU_[43] * vU_[28];
+ vU_[49] = vU_[27] - vU_[48];
+ vU_[50] = vU_[7] * vU_[44] + vU_[29] * vU_[49];
+ vU_[51] = -6.25528861700981e-05 * vU_[9] + 0.00345708950900075 * vU_[8];
+ vU_[52] = vU_[51] * vU_[8] - vU_[17] * vU_[37];
+ vU_[53] = vU_[48] + vU_[52];
+ vU_[32] = 0 - vU_[43] * vU_[32];
+ vU_[21] = vU_[21] + vU_[15];
+ vU_[20] = vU_[20] + vU_[18];
+ vU_[16] = 0.057838 + vU_[21] * vU_[8] + vU_[20] * vU_[9] + vU_[16] - vU_[47] * vU_[37];
+ vU_[37] = vU_[32] + vU_[16];
+ vU_[18] = vU_[7] * vU_[53] + vU_[29] * vU_[37];
+ vU_[15] = 0.160298259823722 + vU_[50] * vU_[6] + vU_[18] * vU_[29];
+ vU_[18] = vU_[18] * vU_[7] + vU_[50] * vU_[29];
+ vU_[24] = 2. * vU_[24] * vU_[43] + 0.019432 + vU_[14] + vU_[23] + vU_[22] - vU_[25] - vU_[17] * vU_[17] / vU_[26] +
+ vU_[30] * vU_[43];
+ vU_[30] = vU_[47] / vU_[26];
+ vU_[52] = vU_[27] * vU_[43] + -0.001387 + 2. * vU_[13] * vU_[8] + 2. * vU_[45] * vU_[9] + vU_[10] * vU_[45] +
+ vU_[8] * vU_[46] - vU_[17] * vU_[30] - vU_[52] * vU_[43] - vU_[48] * vU_[43];
+ vU_[48] = vU_[29] * vU_[52];
+ vU_[27] = vU_[7] * vU_[24] + vU_[48];
+ vU_[30] = 0.029115 + vU_[22] - vU_[47] * vU_[30] - 2. * vU_[16] * vU_[43] - vU_[32] * vU_[43];
+ vU_[16] = vU_[7] * vU_[52] + vU_[29] * vU_[30];
+ vU_[32] = vU_[27] * vU_[7] + vU_[16] * vU_[29];
+ vU_[22] = 0.09570849 + vU_[32];
+ vU_[46] = vU_[18] / vU_[22];
+ vU_[13] = vU_[36] * vU_[6] + vU_[40] * vU_[29] - vU_[15] * vU_[46];
+ vU_[45] = 0 - vU_[5] * vU_[13];
+ vU_[31] = vU_[31] * vU_[8] - vU_[12] * vU_[33];
+ vU_[20] = vU_[21] * vU_[10] + vU_[20] * vU_[8] - vU_[19] - vU_[47] * vU_[33] - vU_[43] * vU_[31];
+ vU_[21] = 0 - vU_[19] * vU_[33];
+ vU_[51] = vU_[43] * vU_[21] + vU_[51] * vU_[10] - vU_[17] * vU_[33];
+ vU_[43] = vU_[29] * vU_[51];
+ vU_[33] = 0 - vU_[20];
+ vU_[25] = vU_[7] * vU_[33] + vU_[43];
+ vU_[14] = vU_[15] / vU_[22];
+ vU_[43] = -1.52322944854339e-09 + vU_[20] * vU_[6] + vU_[43] - vU_[25] - -0.00021200017 * vU_[14];
+ vU_[23] = vU_[45] + vU_[43];
+ vU_[50] = cos(x_in[3]);
+ vU_[49] = vU_[29] * vU_[44] + vU_[6] * vU_[49];
+ vU_[37] = vU_[29] * vU_[53] + vU_[6] * vU_[37];
+ vU_[16] = -0.0022920002 + vU_[16] * vU_[6] + vU_[27] * vU_[29];
+ vU_[27] = vU_[49] * vU_[6] + vU_[37] * vU_[29] - vU_[16] * vU_[14];
+ vU_[53] = -0.304 * vU_[50];
+ vU_[44] = vU_[53] * vU_[13];
+ vU_[21] = 0 - vU_[21];
+ vU_[33] = vU_[29] * vU_[33] + vU_[6] * vU_[51];
+ vU_[54] = 0.008711861 - vU_[33];
+ vU_[55] = 0 - vU_[6] * vU_[31] - vU_[29] * vU_[21] - vU_[54] * vU_[46];
+ vU_[56] = vU_[5] * vU_[55];
+ vU_[57] = vU_[56] - vU_[44];
+ vU_[58] = vU_[27] + vU_[44] - vU_[57];
+ vU_[59] = vU_[3] * vU_[23] + vU_[50] * vU_[58];
+ vU_[60] = vU_[54] / vU_[22];
+ vU_[61] = 0 - -0.00021200017 * vU_[60];
+ vU_[56] = 0 - vU_[56];
+ vU_[62] = vU_[61] + vU_[56] - vU_[57];
+ vU_[63] = vU_[53] * vU_[55];
+ vU_[25] = 1.52322944854339e-09 + vU_[25] - vU_[16] * vU_[60];
+ vU_[64] = vU_[63] + vU_[25];
+ vU_[65] = vU_[3] * vU_[62] + vU_[50] * vU_[64];
+ vU_[66] = vU_[16] / vU_[22];
+ vU_[33] = -0.008711861 + vU_[20] * vU_[29] + vU_[51] * vU_[7] + vU_[33] - -0.00021200017 * vU_[46];
+ vU_[40] = vU_[40] * vU_[7] + vU_[36] * vU_[29];
+ vU_[36] = 1.7423722 + vU_[34] + vU_[40] - vU_[18] * vU_[46];
+ vU_[51] = 0 - vU_[5] * vU_[36];
+ vU_[37] = -0.160298259823722 + vU_[49] * vU_[29] + vU_[37] * vU_[7] - vU_[16] * vU_[46];
+ vU_[49] = 0.0036857284 - -0.00021200017 * vU_[66] + vU_[33] * vU_[53] + vU_[51] * vU_[53] - vU_[37] * vU_[5];
+ vU_[46] = vU_[50] * vU_[49];
+ vU_[20] = 0 - vU_[3];
+ vU_[48] = (vU_[29] * vU_[24] + vU_[6] * vU_[52]) * vU_[29] + (vU_[48] + vU_[6] * vU_[30]) * vU_[6];
+ vU_[52] = vU_[53] * vU_[36];
+ vU_[39] = (vU_[29] * vU_[38] + vU_[6] * vU_[28]) * vU_[29] + (vU_[39] + vU_[6] * vU_[35]) * vU_[6];
+ vU_[40] = 1.7423722 + vU_[35] + vU_[38] + vU_[34] - vU_[39] - vU_[40] - vU_[54] * vU_[60];
+ vU_[21] = vU_[29] * vU_[31] + vU_[7] * vU_[21] - vU_[54] * vU_[14];
+ vU_[31] = vU_[5] * vU_[40] - vU_[53] * vU_[21];
+ vU_[39] = 1.7423722 + vU_[34] + vU_[39] - vU_[15] * vU_[14];
+ vU_[14] = vU_[5] * vU_[21] - vU_[53] * vU_[39];
+ vU_[34] = vU_[31] * vU_[5] - vU_[14] * vU_[53];
+ vU_[66] = 2. * vU_[37] * vU_[53] + 0.01828449 + vU_[48] - vU_[16] * vU_[66] + vU_[52] * vU_[53] - vU_[34];
+ vU_[60] = vU_[46] + vU_[20] * vU_[66];
+ vU_[48] = 0.081661 + vU_[30] + vU_[24] - vU_[48] - vU_[32] - -0.00021200017 * -0.00021200017 / vU_[22] -
+ 2. * vU_[33] * vU_[5] - vU_[51] * vU_[5] - vU_[34];
+ vU_[32] = vU_[50] * vU_[48] + vU_[20] * vU_[49];
+ vU_[30] = -0.0037997814 + vU_[60] * vU_[50] + vU_[32] * vU_[3];
+ vU_[58] = vU_[50] * vU_[23] + vU_[20] * vU_[58];
+ vU_[64] = vU_[50] * vU_[62] + vU_[20] * vU_[64];
+ vU_[62] = -0.0055615274403 + vU_[58] * vU_[50] + vU_[64] * vU_[3];
+ vU_[32] = vU_[32] * vU_[50] + vU_[60] * vU_[20];
+ vU_[60] = 0.010329999 + vU_[34] + vU_[32];
+ vU_[23] = vU_[62] / vU_[60];
+ vU_[24] = vU_[59] * vU_[50] + vU_[65] * vU_[3] + vU_[57] - vU_[30] * vU_[23];
+ vU_[38] = sin(x_in[2]);
+ vU_[35] = -0.112 * vU_[38];
+ vU_[28] = 0.112 * vU_[1];
+ vU_[67] = vU_[38] * vU_[35] + vU_[2] * vU_[28];
+ vU_[56] = vU_[61] * vU_[5] + vU_[56] * vU_[5] - vU_[43] * vU_[53] - vU_[45] * vU_[53];
+ vU_[25] = vU_[27] * vU_[53] + vU_[44] * vU_[53] - vU_[25] * vU_[5] - vU_[63] * vU_[5];
+ vU_[63] = -0.011715295 - vU_[50] * vU_[56] - vU_[3] * vU_[25];
+ vU_[44] = vU_[30] / vU_[60];
+ vU_[52] = vU_[52] + vU_[37];
+ vU_[37] = 0 - vU_[52];
+ vU_[51] = vU_[51] + vU_[33];
+ vU_[33] = vU_[3] * vU_[37] + vU_[50] * vU_[51];
+ vU_[53] = -0.01438086 - vU_[33];
+ vU_[27] = vU_[53] / vU_[60];
+ vU_[5] = vU_[57] - vU_[63] * vU_[27];
+ vU_[13] = 0 - vU_[13];
+ vU_[61] = vU_[20] * vU_[55] + vU_[50] * vU_[13] - vU_[53] * vU_[23];
+ vU_[43] = vU_[67] * vU_[61];
+ vU_[25] = vU_[24] * vU_[67] + 5.399998e-05 + vU_[20] * vU_[56] + vU_[50] * vU_[25] - vU_[63] * vU_[44] -
+ vU_[5] * vU_[67] - vU_[43] * vU_[67];
+ vU_[46] = (vU_[3] * vU_[48] + vU_[46]) * vU_[3] + (vU_[3] * vU_[49] + vU_[50] * vU_[66]) * vU_[50];
+ vU_[37] = vU_[50] * vU_[37] + vU_[20] * vU_[51];
+ vU_[49] = 0.647967112 + vU_[37] - vU_[30] * vU_[27];
+ vU_[39] = vU_[39] - vU_[36];
+ vU_[40] = vU_[40] - vU_[36];
+ vU_[56] = vU_[50] * vU_[21];
+ vU_[45] = (vU_[3] * vU_[40] + vU_[56]) * vU_[3] + (vU_[3] * vU_[21] + vU_[50] * vU_[39]) * vU_[50];
+ vU_[21] = vU_[50] * vU_[40] + vU_[20] * vU_[21];
+ vU_[56] = vU_[56] + vU_[20] * vU_[39];
+ vU_[68] = vU_[21] * vU_[50] + vU_[56] * vU_[20];
+ vU_[40] = 2.327 + vU_[39] + vU_[40] + vU_[36] - vU_[45] - vU_[68] - vU_[53] * vU_[27];
+ vU_[39] = 0 - vU_[67] * vU_[40];
+ vU_[44] = 0.20986895 + vU_[34] + vU_[46] - vU_[30] * vU_[44] - 2. * vU_[49] * vU_[67] - vU_[39] * vU_[67];
+ vU_[27] = vU_[2] * vU_[25] + vU_[38] * vU_[44];
+ vU_[52] = -1 * (vU_[14] + vU_[52]);
+ vU_[51] = -1 * (vU_[31] + vU_[51]);
+ vU_[37] = -0.647967112 + vU_[52] * vU_[50] + vU_[51] * vU_[3] - vU_[37] - vU_[63] * vU_[23];
+ vU_[45] = 2.327 + vU_[36] + vU_[45] - vU_[62] * vU_[23];
+ vU_[23] = vU_[67] * vU_[45];
+ vU_[46] = 2. * vU_[37] * vU_[67] + 0.20236395 + vU_[66] + vU_[48] + vU_[34] - vU_[46] - vU_[32] -
+ vU_[63] * vU_[63] / vU_[60] + vU_[23] * vU_[67];
+ vU_[32] = vU_[38] * vU_[25];
+ vU_[48] = vU_[2] * vU_[46] + vU_[32];
+ vU_[66] = -0.002752 + vU_[27] * vU_[1] + vU_[48] * vU_[38];
+ vU_[48] = vU_[48] * vU_[2] + vU_[27] * vU_[38];
+ vU_[27] = 0.051393528 + vU_[48];
+ vU_[34] = vU_[66] / vU_[27];
+ vU_[64] = vU_[58] * vU_[20] + vU_[64] * vU_[50] + vU_[57];
+ vU_[58] = vU_[64] / vU_[60];
+ vU_[13] = 0 - vU_[50] * vU_[55] - vU_[3] * vU_[13] - vU_[53] * vU_[58];
+ vU_[65] = 0.0055615274403 + vU_[59] * vU_[20] + vU_[65] * vU_[50] - vU_[67] * vU_[13] - vU_[30] * vU_[58];
+ vU_[56] = vU_[56] * vU_[50] + vU_[21] * vU_[3] - vU_[62] * vU_[58];
+ vU_[51] = 0.01438086 + vU_[52] * vU_[20] + vU_[51] * vU_[50] + vU_[33] + vU_[67] * vU_[56] - vU_[63] * vU_[58];
+ vU_[52] = vU_[38] * (0 - vU_[65]) + vU_[1] * vU_[51];
+ vU_[5] = vU_[43] + vU_[5];
+ vU_[39] = vU_[39] + vU_[49];
+ vU_[49] = vU_[2] * vU_[5] + vU_[38] * vU_[39];
+ vU_[23] = vU_[23] + vU_[37];
+ vU_[43] = vU_[24] - vU_[43];
+ vU_[24] = vU_[2] * vU_[23] + vU_[38] * vU_[43];
+ vU_[37] = vU_[49] * vU_[2] + vU_[24] * vU_[38];
+ vU_[33] = vU_[37] / vU_[27];
+ vU_[51] = -0.0606159433962 + vU_[65] * vU_[38] + vU_[51] * vU_[2] + vU_[52] - -0.022851627 * vU_[33];
+ vU_[65] = 0.178 * (0 - vU_[0]);
+ vU_[67] = cos(x_in[1]);
+ vU_[21] = -1 * 0.178 * vU_[67];
+ vU_[58] = 2.327 + vU_[36] + vU_[68] - vU_[64] * vU_[58];
+ vU_[40] = vU_[40] - vU_[58];
+ vU_[64] = vU_[38] * vU_[61];
+ vU_[45] = vU_[45] - vU_[58];
+ vU_[68] = (vU_[2] * vU_[40] + vU_[64]) * vU_[2] + (vU_[2] * vU_[61] + vU_[38] * vU_[45]) * vU_[38];
+ vU_[37] = 2.5924191 + vU_[58] + vU_[68] - vU_[37] * vU_[33];
+ vU_[36] = 0 - vU_[21] * vU_[37];
+ vU_[33] = -0.293374233908935 + (vU_[38] * vU_[23] + vU_[1] * vU_[43]) * vU_[38] +
+ (vU_[38] * vU_[5] + vU_[1] * vU_[39]) * vU_[2] - vU_[66] * vU_[33];
+ vU_[43] = 0.0055279857 - -0.022851627 * vU_[34] + vU_[51] * vU_[65] + vU_[36] * vU_[65] - vU_[33] * vU_[21];
+ vU_[32] = (vU_[38] * vU_[46] + vU_[1] * vU_[25]) * vU_[38] + (vU_[32] + vU_[1] * vU_[44]) * vU_[1];
+ vU_[64] = (vU_[38] * vU_[40] + vU_[1] * vU_[61]) * vU_[38] + (vU_[64] + vU_[1] * vU_[45]) * vU_[1];
+ vU_[52] = 0.0606159433962 - vU_[52];
+ vU_[24] = 0.293374233908935 + vU_[24] * vU_[1] + vU_[49] * vU_[38];
+ vU_[49] = vU_[24] / vU_[27];
+ vU_[56] = vU_[38] * vU_[13] + vU_[2] * (0 - vU_[56]) - vU_[52] * vU_[49];
+ vU_[56] = (vU_[21] * (2.5924191 + vU_[45] + vU_[40] + vU_[58] - vU_[64] - vU_[68] - vU_[52] * vU_[52] / vU_[27]) -
+ vU_[65] * vU_[56]) *
+ vU_[21] -
+ (vU_[21] * vU_[56] - vU_[65] * (2.5924191 + vU_[58] + vU_[64] - vU_[24] * vU_[49])) * vU_[65];
+ vU_[56] = 0.007629 +
+ (vU_[0] * vU_[43] + vU_[67] * (2. * vU_[33] * vU_[65] + 0.08585553 + vU_[32] - vU_[66] * vU_[34] +
+ vU_[65] * vU_[37] * vU_[65] - vU_[56])) *
+ vU_[67] +
+ (vU_[0] * (0.039002996 + vU_[44] + vU_[46] - vU_[32] - vU_[48] - -0.022851627 * -0.022851627 / vU_[27] -
+ 2. * vU_[51] * vU_[21] - vU_[36] * vU_[21] - vU_[56]) +
+ vU_[67] * vU_[43]) *
+ vU_[0] +
+ vU_[56];
+ jac[6] = 1 / vU_[56];
+ jac[18] = (0 - vU_[67] * vU_[66] / vU_[27] - vU_[0] * -0.022851627 / vU_[27]) / vU_[56];
+ vU_[32] = vU_[67] * jac[6];
+ vU_[43] = vU_[0] * jac[6];
+ jac[7] = (0 - vU_[66] * vU_[32] - -0.022851627 * vU_[43]) / vU_[27];
+ vU_[33] = vU_[38] * jac[7] + vU_[1] * vU_[32];
+ vU_[36] = vU_[2] * jac[7] + vU_[38] * vU_[32];
+ vU_[37] = vU_[28] * jac[7] + vU_[35] * vU_[32];
+ vU_[21] = 0.112 * vU_[38];
+ vU_[65] = 0.112 * vU_[1];
+ vU_[32] = vU_[21] * jac[7] + vU_[65] * vU_[32];
+ jac[8] = (0 - vU_[60] * vU_[43] - vU_[30] * vU_[33] - vU_[63] * vU_[36] - vU_[62] * vU_[37] - vU_[53] * vU_[32]) /
+ vU_[60];
+ vU_[51] = -1 * vU_[36];
+ vU_[43] = vU_[43] + jac[8];
+ vU_[34] = vU_[20] * vU_[43] + vU_[50] * vU_[33];
+ vU_[43] = vU_[50] * vU_[43] + vU_[3] * vU_[33];
+ vU_[32] = -0.304 * vU_[33] + -1 * vU_[32];
+ vU_[33] = -0.304 * vU_[50];
+ vU_[48] = vU_[50] * vU_[37] + vU_[33] * vU_[36];
+ vU_[37] = vU_[3] * vU_[37] + vU_[4] * vU_[36];
+ jac[9] = (0 - vU_[22] * vU_[51] - vU_[16] * vU_[34] - -0.00021200017 * vU_[43] - vU_[18] * vU_[32] -
+ vU_[15] * vU_[48] - vU_[54] * vU_[37]) /
+ vU_[22];
+ vU_[51] = vU_[51] + jac[9];
+ vU_[36] = vU_[29] * vU_[51] + vU_[6] * vU_[34];
+ vU_[46] = vU_[7] * vU_[51] + vU_[29] * vU_[34];
+ vU_[44] = 0.112 * vU_[29];
+ vU_[49] = 0.112 * vU_[6];
+ vU_[24] = 0 - vU_[6];
+ vU_[52] = vU_[44] * vU_[51] + vU_[49] * vU_[34] + vU_[24] * vU_[32] + vU_[29] * vU_[48];
+ jac[10] = (0 - vU_[26] * vU_[43] - vU_[47] * vU_[36] - vU_[17] * vU_[46] - vU_[11] * vU_[37] -
+ vU_[19] * (vU_[42] * vU_[51] + vU_[41] * vU_[34] + vU_[29] * vU_[32] + vU_[6] * vU_[48]) -
+ vU_[12] * vU_[52]) /
+ vU_[26];
+ vU_[43] = vU_[43] + jac[10];
+ vU_[51] = 0 - vU_[9];
+ vU_[48] = 0.02075 * vU_[9] + 0.184 * vU_[8];
+ jac[11] = (0 - 0.009277 * vU_[36] - -0.000829 * (vU_[10] * vU_[43] + vU_[8] * vU_[46]) -
+ 1.5e-05 * (vU_[8] * vU_[43] + vU_[9] * vU_[46]) -
+ 0.038686875 * (vU_[51] * vU_[37] + vU_[8] * vU_[52] + vU_[48] * vU_[36])) /
+ 0.009277;
+ vU_[43] = vU_[67] * jac[18];
+ vU_[52] = vU_[0] * jac[18];
+ jac[19] = (1 - vU_[66] * vU_[43] - -0.022851627 * vU_[52]) / vU_[27];
+ vU_[46] = vU_[38] * jac[19] + vU_[1] * vU_[43];
+ vU_[36] = vU_[2] * jac[19] + vU_[38] * vU_[43];
+ vU_[37] = vU_[28] * jac[19] + vU_[35] * vU_[43];
+ vU_[43] = vU_[21] * jac[19] + vU_[65] * vU_[43];
+ jac[20] = (0 - vU_[60] * vU_[52] - vU_[30] * vU_[46] - vU_[63] * vU_[36] - vU_[62] * vU_[37] - vU_[53] * vU_[43]) /
+ vU_[60];
+ vU_[32] = -1 * vU_[36];
+ vU_[52] = vU_[52] + jac[20];
+ vU_[34] = vU_[20] * vU_[52] + vU_[50] * vU_[46];
+ vU_[52] = vU_[50] * vU_[52] + vU_[3] * vU_[46];
+ vU_[43] = -0.304 * vU_[46] + -1 * vU_[43];
+ vU_[46] = vU_[50] * vU_[37] + vU_[33] * vU_[36];
+ vU_[37] = vU_[3] * vU_[37] + vU_[4] * vU_[36];
+ jac[21] = (0 - vU_[22] * vU_[32] - vU_[16] * vU_[34] - -0.00021200017 * vU_[52] - vU_[18] * vU_[43] -
+ vU_[15] * vU_[46] - vU_[54] * vU_[37]) /
+ vU_[22];
+ vU_[32] = vU_[32] + jac[21];
+ vU_[36] = vU_[29] * vU_[32] + vU_[6] * vU_[34];
+ vU_[64] = vU_[7] * vU_[32] + vU_[29] * vU_[34];
+ vU_[68] = vU_[44] * vU_[32] + vU_[49] * vU_[34] + vU_[24] * vU_[43] + vU_[29] * vU_[46];
+ jac[22] = (0 - vU_[26] * vU_[52] - vU_[47] * vU_[36] - vU_[17] * vU_[64] - vU_[11] * vU_[37] -
+ vU_[19] * (vU_[42] * vU_[32] + vU_[41] * vU_[34] + vU_[29] * vU_[43] + vU_[6] * vU_[46]) -
+ vU_[12] * vU_[68]) /
+ vU_[26];
+ vU_[52] = vU_[52] + jac[22];
+ jac[23] = (0 - 0.009277 * vU_[36] - -0.000829 * (vU_[10] * vU_[52] + vU_[8] * vU_[64]) -
+ 1.5e-05 * (vU_[8] * vU_[52] + vU_[9] * vU_[64]) -
+ 0.038686875 * (vU_[51] * vU_[37] + vU_[8] * vU_[68] + vU_[48] * vU_[36])) /
+ 0.009277;
+ vU_[52] = vU_[30] / vU_[60];
+ vU_[68] = vU_[63] / vU_[60];
+ vU_[64] = vU_[62] / vU_[60];
+ vU_[36] = vU_[53] / vU_[60];
+ vU_[37] = 0 - vU_[38] * vU_[52] - vU_[2] * vU_[68] - vU_[28] * vU_[64] - vU_[21] * vU_[36];
+ jac[30] = (0 -
+ vU_[67] * (vU_[1] * vU_[52] + vU_[38] * vU_[68] + vU_[35] * vU_[64] + vU_[65] * vU_[36] +
+ (vU_[66] * vU_[37]) / vU_[27]) -
+ vU_[0] * (vU_[60] / vU_[60] + (-0.022851627 * vU_[37]) / vU_[27])) /
+ vU_[56];
+ vU_[36] = vU_[67] * jac[30];
+ vU_[64] = vU_[0] * jac[30];
+ jac[31] = (vU_[37] - vU_[66] * vU_[36] - -0.022851627 * vU_[64]) / vU_[27];
+ vU_[37] = vU_[38] * jac[31] + vU_[1] * vU_[36];
+ vU_[68] = vU_[2] * jac[31] + vU_[38] * vU_[36];
+ vU_[52] = vU_[28] * jac[31] + vU_[35] * vU_[36];
+ vU_[36] = vU_[21] * jac[31] + vU_[65] * vU_[36];
+ jac[32] = (1 - vU_[60] * vU_[64] - vU_[30] * vU_[37] - vU_[63] * vU_[68] - vU_[62] * vU_[52] - vU_[53] * vU_[36]) /
+ vU_[60];
+ vU_[32] = -1 * vU_[68];
+ vU_[64] = vU_[64] + jac[32];
+ vU_[46] = vU_[20] * vU_[64] + vU_[50] * vU_[37];
+ vU_[64] = vU_[50] * vU_[64] + vU_[3] * vU_[37];
+ vU_[36] = -0.304 * vU_[37] + -1 * vU_[36];
+ vU_[37] = vU_[50] * vU_[52] + vU_[33] * vU_[68];
+ vU_[52] = vU_[3] * vU_[52] + vU_[4] * vU_[68];
+ jac[33] = (0 - vU_[22] * vU_[32] - vU_[16] * vU_[46] - -0.00021200017 * vU_[64] - vU_[18] * vU_[36] -
+ vU_[15] * vU_[37] - vU_[54] * vU_[52]) /
+ vU_[22];
+ vU_[32] = vU_[32] + jac[33];
+ vU_[68] = vU_[29] * vU_[32] + vU_[6] * vU_[46];
+ vU_[43] = vU_[7] * vU_[32] + vU_[29] * vU_[46];
+ vU_[34] = vU_[44] * vU_[32] + vU_[49] * vU_[46] + vU_[24] * vU_[36] + vU_[29] * vU_[37];
+ jac[34] = (0 - vU_[26] * vU_[64] - vU_[47] * vU_[68] - vU_[17] * vU_[43] - vU_[11] * vU_[52] -
+ vU_[19] * (vU_[42] * vU_[32] + vU_[41] * vU_[46] + vU_[29] * vU_[36] + vU_[6] * vU_[37]) -
+ vU_[12] * vU_[34]) /
+ vU_[26];
+ vU_[64] = vU_[64] + jac[34];
+ jac[35] = (0 - 0.009277 * vU_[68] - -0.000829 * (vU_[10] * vU_[64] + vU_[8] * vU_[43]) -
+ 1.5e-05 * (vU_[8] * vU_[64] + vU_[9] * vU_[43]) -
+ 0.038686875 * (vU_[51] * vU_[52] + vU_[8] * vU_[34] + vU_[48] * vU_[68])) /
+ 0.009277;
+ vU_[64] = vU_[16] / vU_[22];
+ vU_[34] = -0.00021200017 / vU_[22];
+ vU_[43] = vU_[18] / vU_[22];
+ vU_[68] = vU_[20] * vU_[64] + vU_[50] * vU_[34];
+ vU_[52] = 0 - vU_[68];
+ vU_[34] = vU_[50] * vU_[64] + vU_[3] * vU_[34] + -0.304 * vU_[43] + (vU_[30] * vU_[52]) / vU_[60];
+ vU_[64] = vU_[15] / vU_[22];
+ vU_[32] = vU_[54] / vU_[22];
+ vU_[37] = vU_[33] * vU_[64] + vU_[4] * vU_[32] + -1 * vU_[22] / vU_[22] + (vU_[63] * vU_[52]) / vU_[60];
+ vU_[32] = vU_[50] * vU_[64] + vU_[3] * vU_[32] + (vU_[62] * vU_[52]) / vU_[60];
+ vU_[43] = -1 * vU_[43] + (vU_[53] * vU_[52]) / vU_[60];
+ vU_[64] = 0 - vU_[38] * vU_[34] - vU_[2] * vU_[37] - vU_[28] * vU_[32] - vU_[21] * vU_[43];
+ jac[42] = (0 -
+ vU_[67] * (vU_[1] * vU_[34] + vU_[38] * vU_[37] + vU_[35] * vU_[32] + vU_[65] * vU_[43] +
+ (vU_[66] * vU_[64]) / vU_[27]) -
+ vU_[0] * ((vU_[60] * vU_[52]) / vU_[60] + vU_[68] + (-0.022851627 * vU_[64]) / vU_[27])) /
+ vU_[56];
+ vU_[43] = vU_[67] * jac[42];
+ vU_[32] = vU_[0] * jac[42];
+ jac[43] = (vU_[64] - vU_[66] * vU_[43] - -0.022851627 * vU_[32]) / vU_[27];
+ vU_[64] = vU_[38] * jac[43] + vU_[1] * vU_[43];
+ vU_[37] = vU_[2] * jac[43] + vU_[38] * vU_[43];
+ vU_[34] = vU_[28] * jac[43] + vU_[35] * vU_[43];
+ vU_[43] = vU_[21] * jac[43] + vU_[65] * vU_[43];
+ jac[44] =
+ (vU_[52] - vU_[60] * vU_[32] - vU_[30] * vU_[64] - vU_[63] * vU_[37] - vU_[62] * vU_[34] - vU_[53] * vU_[43]) /
+ vU_[60];
+ vU_[52] = -1 * vU_[37];
+ vU_[32] = vU_[32] + jac[44];
+ vU_[68] = vU_[20] * vU_[32] + vU_[50] * vU_[64];
+ vU_[32] = vU_[50] * vU_[32] + vU_[3] * vU_[64];
+ vU_[43] = -0.304 * vU_[64] + -1 * vU_[43];
+ vU_[64] = vU_[50] * vU_[34] + vU_[33] * vU_[37];
+ vU_[34] = vU_[3] * vU_[34] + vU_[4] * vU_[37];
+ jac[45] = (1 - vU_[22] * vU_[52] - vU_[16] * vU_[68] - -0.00021200017 * vU_[32] - vU_[18] * vU_[43] -
+ vU_[15] * vU_[64] - vU_[54] * vU_[34]) /
+ vU_[22];
+ vU_[52] = vU_[52] + jac[45];
+ vU_[37] = vU_[29] * vU_[52] + vU_[6] * vU_[68];
+ vU_[36] = vU_[7] * vU_[52] + vU_[29] * vU_[68];
+ vU_[46] = vU_[44] * vU_[52] + vU_[49] * vU_[68] + vU_[24] * vU_[43] + vU_[29] * vU_[64];
+ jac[46] = (0 - vU_[26] * vU_[32] - vU_[47] * vU_[37] - vU_[17] * vU_[36] - vU_[11] * vU_[34] -
+ vU_[19] * (vU_[42] * vU_[52] + vU_[41] * vU_[68] + vU_[29] * vU_[43] + vU_[6] * vU_[64]) -
+ vU_[12] * vU_[46]) /
+ vU_[26];
+ vU_[32] = vU_[32] + jac[46];
+ jac[47] = (0 - 0.009277 * vU_[37] - -0.000829 * (vU_[10] * vU_[32] + vU_[8] * vU_[36]) -
+ 1.5e-05 * (vU_[8] * vU_[32] + vU_[9] * vU_[36]) -
+ 0.038686875 * (vU_[51] * vU_[34] + vU_[8] * vU_[46] + vU_[48] * vU_[37])) /
+ 0.009277;
+ vU_[32] = vU_[47] / vU_[26];
+ vU_[46] = vU_[17] / vU_[26];
+ vU_[36] = vU_[19] / vU_[26];
+ vU_[37] = vU_[12] / vU_[26];
+ vU_[34] = vU_[29] * vU_[32] + vU_[7] * vU_[46] + vU_[42] * vU_[36] + vU_[44] * vU_[37];
+ vU_[52] = 0 - vU_[34];
+ vU_[46] =
+ vU_[6] * vU_[32] + vU_[29] * vU_[46] + vU_[41] * vU_[36] + vU_[49] * vU_[37] + (vU_[16] * vU_[52]) / vU_[22];
+ vU_[32] = vU_[26] / vU_[26] + (-0.00021200017 * vU_[52]) / vU_[22];
+ vU_[64] = vU_[29] * vU_[36] + vU_[24] * vU_[37] + (vU_[18] * vU_[52]) / vU_[22];
+ vU_[43] = vU_[20] * vU_[46] + vU_[50] * vU_[32];
+ vU_[68] = 0 - vU_[43];
+ vU_[32] = vU_[50] * vU_[46] + vU_[3] * vU_[32] + -0.304 * vU_[64] + (vU_[30] * vU_[68]) / vU_[60];
+ vU_[37] = vU_[6] * vU_[36] + vU_[29] * vU_[37] + (vU_[15] * vU_[52]) / vU_[22];
+ vU_[36] = vU_[11] / vU_[26] + (vU_[54] * vU_[52]) / vU_[22];
+ vU_[34] = vU_[33] * vU_[37] + vU_[4] * vU_[36] + -1 * (vU_[34] + (vU_[22] * vU_[52]) / vU_[22]) +
+ (vU_[63] * vU_[68]) / vU_[60];
+ vU_[36] = vU_[50] * vU_[37] + vU_[3] * vU_[36] + (vU_[62] * vU_[68]) / vU_[60];
+ vU_[64] = -1 * vU_[64] + (vU_[53] * vU_[68]) / vU_[60];
+ vU_[37] = 0 - vU_[38] * vU_[32] - vU_[2] * vU_[34] - vU_[28] * vU_[36] - vU_[21] * vU_[64];
+ jac[54] = (0 -
+ vU_[67] * (vU_[1] * vU_[32] + vU_[38] * vU_[34] + vU_[35] * vU_[36] + vU_[65] * vU_[64] +
+ (vU_[66] * vU_[37]) / vU_[27]) -
+ vU_[0] * ((vU_[60] * vU_[68]) / vU_[60] + vU_[43] + (-0.022851627 * vU_[37]) / vU_[27])) /
+ vU_[56];
+ vU_[64] = vU_[67] * jac[54];
+ vU_[36] = vU_[0] * jac[54];
+ jac[55] = (vU_[37] - vU_[66] * vU_[64] - -0.022851627 * vU_[36]) / vU_[27];
+ vU_[37] = vU_[38] * jac[55] + vU_[1] * vU_[64];
+ vU_[34] = vU_[2] * jac[55] + vU_[38] * vU_[64];
+ vU_[32] = vU_[28] * jac[55] + vU_[35] * vU_[64];
+ vU_[64] = vU_[21] * jac[55] + vU_[65] * vU_[64];
+ jac[56] =
+ (vU_[68] - vU_[60] * vU_[36] - vU_[30] * vU_[37] - vU_[63] * vU_[34] - vU_[62] * vU_[32] - vU_[53] * vU_[64]) /
+ vU_[60];
+ vU_[68] = -1 * vU_[34];
+ vU_[36] = vU_[36] + jac[56];
+ vU_[43] = vU_[20] * vU_[36] + vU_[50] * vU_[37];
+ vU_[36] = vU_[50] * vU_[36] + vU_[3] * vU_[37];
+ vU_[64] = -0.304 * vU_[37] + -1 * vU_[64];
+ vU_[37] = vU_[50] * vU_[32] + vU_[33] * vU_[34];
+ vU_[32] = vU_[3] * vU_[32] + vU_[4] * vU_[34];
+ jac[57] = (vU_[52] - vU_[22] * vU_[68] - vU_[16] * vU_[43] - -0.00021200017 * vU_[36] - vU_[18] * vU_[64] -
+ vU_[15] * vU_[37] - vU_[54] * vU_[32]) /
+ vU_[22];
+ vU_[68] = vU_[68] + jac[57];
+ vU_[52] = vU_[29] * vU_[68] + vU_[6] * vU_[43];
+ vU_[34] = vU_[7] * vU_[68] + vU_[29] * vU_[43];
+ vU_[46] = vU_[44] * vU_[68] + vU_[49] * vU_[43] + vU_[24] * vU_[64] + vU_[29] * vU_[37];
+ jac[58] = (1 - vU_[26] * vU_[36] - vU_[47] * vU_[52] - vU_[17] * vU_[34] - vU_[11] * vU_[32] -
+ vU_[19] * (vU_[42] * vU_[68] + vU_[41] * vU_[43] + vU_[29] * vU_[64] + vU_[6] * vU_[37]) -
+ vU_[12] * vU_[46]) /
+ vU_[26];
+ vU_[36] = vU_[36] + jac[58];
+ jac[59] = (0 - 0.009277 * vU_[52] - -0.000829 * (vU_[10] * vU_[36] + vU_[8] * vU_[34]) -
+ 1.5e-05 * (vU_[8] * vU_[36] + vU_[9] * vU_[34]) -
+ 0.038686875 * (vU_[51] * vU_[32] + vU_[8] * vU_[46] + vU_[48] * vU_[52])) /
+ 0.009277;
+ vU_[36] = vU_[10] * -0.089360784736445 + vU_[8] * 0.00161690201573785;
+ vU_[46] = 0 - vU_[36];
+ vU_[34] = 1 + vU_[48] * 4.17019241133987 + (vU_[47] * vU_[46]) / vU_[26];
+ vU_[52] = vU_[8] * -0.089360784736445 + vU_[9] * 0.00161690201573785 + (vU_[17] * vU_[46]) / vU_[26];
+ vU_[32] = (vU_[19] * vU_[46]) / vU_[26];
+ vU_[68] = vU_[8] * 4.17019241133987 + (vU_[12] * vU_[46]) / vU_[26];
+ vU_[37] = vU_[29] * vU_[34] + vU_[7] * vU_[52] + vU_[42] * vU_[32] + vU_[44] * vU_[68];
+ vU_[64] = 0 - vU_[37];
+ vU_[52] =
+ vU_[6] * vU_[34] + vU_[29] * vU_[52] + vU_[41] * vU_[32] + vU_[49] * vU_[68] + (vU_[16] * vU_[64]) / vU_[22];
+ vU_[36] = (vU_[26] * vU_[46]) / vU_[26] + vU_[36] + (-0.00021200017 * vU_[64]) / vU_[22];
+ vU_[34] = vU_[29] * vU_[32] + vU_[24] * vU_[68] + (vU_[18] * vU_[64]) / vU_[22];
+ vU_[43] = vU_[20] * vU_[52] + vU_[50] * vU_[36];
+ vU_[45] = 0 - vU_[43];
+ vU_[36] = vU_[50] * vU_[52] + vU_[3] * vU_[36] + -0.304 * vU_[34] + (vU_[30] * vU_[45]) / vU_[60];
+ vU_[68] = vU_[6] * vU_[32] + vU_[29] * vU_[68] + (vU_[15] * vU_[64]) / vU_[22];
+ vU_[32] = vU_[51] * 4.17019241133987 + (vU_[11] * vU_[46]) / vU_[26] + (vU_[54] * vU_[64]) / vU_[22];
+ vU_[37] = vU_[33] * vU_[68] + vU_[4] * vU_[32] + -1 * (vU_[37] + (vU_[22] * vU_[64]) / vU_[22]) +
+ (vU_[63] * vU_[45]) / vU_[60];
+ vU_[32] = vU_[50] * vU_[68] + vU_[3] * vU_[32] + (vU_[62] * vU_[45]) / vU_[60];
+ vU_[34] = -1 * vU_[34] + (vU_[53] * vU_[45]) / vU_[60];
+ vU_[68] = 0 - vU_[38] * vU_[36] - vU_[2] * vU_[37] - vU_[28] * vU_[32] - vU_[21] * vU_[34];
+ jac[66] = (0 -
+ vU_[67] * (vU_[1] * vU_[36] + vU_[38] * vU_[37] + vU_[35] * vU_[32] + vU_[65] * vU_[34] +
+ (vU_[66] * vU_[68]) / vU_[27]) -
+ vU_[0] * ((vU_[60] * vU_[45]) / vU_[60] + vU_[43] + (-0.022851627 * vU_[68]) / vU_[27])) /
+ vU_[56];
+ vU_[67] = vU_[67] * jac[66];
+ vU_[0] = vU_[0] * jac[66];
+ jac[67] = (vU_[68] - vU_[66] * vU_[67] - -0.022851627 * vU_[0]) / vU_[27];
+ vU_[1] = vU_[38] * jac[67] + vU_[1] * vU_[67];
+ vU_[38] = vU_[2] * jac[67] + vU_[38] * vU_[67];
+ vU_[28] = vU_[28] * jac[67] + vU_[35] * vU_[67];
+ vU_[67] = vU_[21] * jac[67] + vU_[65] * vU_[67];
+ jac[68] =
+ (vU_[45] - vU_[60] * vU_[0] - vU_[30] * vU_[1] - vU_[63] * vU_[38] - vU_[62] * vU_[28] - vU_[53] * vU_[67]) /
+ vU_[60];
+ vU_[45] = -1 * vU_[38];
+ vU_[0] = vU_[0] + jac[68];
+ vU_[20] = vU_[20] * vU_[0] + vU_[50] * vU_[1];
+ vU_[0] = vU_[50] * vU_[0] + vU_[3] * vU_[1];
+ vU_[67] = -0.304 * vU_[1] + -1 * vU_[67];
+ vU_[33] = vU_[50] * vU_[28] + vU_[33] * vU_[38];
+ vU_[28] = vU_[3] * vU_[28] + vU_[4] * vU_[38];
+ jac[69] = (vU_[64] - vU_[22] * vU_[45] - vU_[16] * vU_[20] - -0.00021200017 * vU_[0] - vU_[18] * vU_[67] -
+ vU_[15] * vU_[33] - vU_[54] * vU_[28]) /
+ vU_[22];
+ vU_[45] = vU_[45] + jac[69];
+ vU_[64] = vU_[29] * vU_[45] + vU_[6] * vU_[20];
+ vU_[7] = vU_[7] * vU_[45] + vU_[29] * vU_[20];
+ vU_[24] = vU_[44] * vU_[45] + vU_[49] * vU_[20] + vU_[24] * vU_[67] + vU_[29] * vU_[33];
+ jac[70] = (vU_[46] - vU_[26] * vU_[0] - vU_[47] * vU_[64] - vU_[17] * vU_[7] - vU_[11] * vU_[28] -
+ vU_[19] * (vU_[42] * vU_[45] + vU_[41] * vU_[20] + vU_[29] * vU_[67] + vU_[6] * vU_[33]) -
+ vU_[12] * vU_[24]) /
+ vU_[26];
+ vU_[0] = vU_[0] + jac[70];
+ jac[71] = (1 - 0.009277 * vU_[64] - -0.000829 * (vU_[10] * vU_[0] + vU_[8] * vU_[7]) -
+ 1.5e-05 * (vU_[8] * vU_[0] + vU_[9] * vU_[7]) -
+ 0.038686875 * (vU_[51] * vU_[28] + vU_[8] * vU_[24] + vU_[48] * vU_[64])) /
+ 0.009277;
+
+
+ return dFdu_;
+}
+} // namespace HyA
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward.h b/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward.h
new file mode 100644
index 0000000..04c76f2
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyALinearizedForward.h
@@ -0,0 +1,59 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+class HyALinearizedForward : public ct::core::LinearSystem<12, 6, double>
+{
+public:
+ typedef ct::core::LinearSystem<12, 6, double> Base;
+
+ typedef typename Base::state_vector_t state_vector_t;
+ typedef typename Base::control_vector_t control_vector_t;
+ typedef typename Base::state_matrix_t state_matrix_t;
+ typedef typename Base::state_control_matrix_t state_control_matrix_t;
+
+ HyALinearizedForward(const ct::core::SYSTEM_TYPE& type = ct::core::SYSTEM_TYPE::GENERAL)
+ : ct::core::LinearSystem<12, 6>(type)
+ {
+ initialize();
+ }
+
+ HyALinearizedForward(const HyALinearizedForward& other) { initialize(); }
+ virtual ~HyALinearizedForward(){};
+
+ virtual HyALinearizedForward* clone() const override { return new HyALinearizedForward; }
+ virtual const state_matrix_t& getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+ virtual const state_control_matrix_t& getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+private:
+ void initialize()
+ {
+ dFdx_.setZero();
+ dFdu_.setZero();
+ vX_.fill(0.0);
+ vU_.fill(0.0);
+ }
+
+ state_matrix_t dFdx_;
+ state_control_matrix_t dFdu_;
+ std::array<double, 392> vX_;
+ std::array<double, 69> vU_;
+};
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyA/codegen/HyALinearizedReverse.cpp b/ct_models/include/ct/models/HyA/codegen/HyALinearizedReverse.cpp
new file mode 100644
index 0000000..6383d84
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyALinearizedReverse.cpp
@@ -0,0 +1,5503 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include "HyALinearizedReverse.h"
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+
+const HyALinearizedReverse::state_matrix_t& HyALinearizedReverse::getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdx_.data();
+ Eigen::Matrix<double, 12 + 6, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = sin(x_in[1]);
+ vX_[1] = cos(x_in[2]);
+ vX_[2] = 0 - vX_[1];
+ vX_[3] = sin(x_in[3]);
+ vX_[4] = -0.304 * vX_[3];
+ vX_[5] = -1 * vX_[4];
+ vX_[6] = cos(x_in[4]);
+ vX_[7] = 0 - vX_[6];
+ vX_[8] = cos(x_in[5]);
+ vX_[9] = sin(x_in[5]);
+ vX_[10] = 0 - vX_[9];
+ vX_[11] = -6.25528861700981e-05 * vX_[8] + 0.00345708950900075 * vX_[10];
+ vX_[12] = vX_[11] * vX_[8];
+ vX_[13] = -0.184 * vX_[8] + 0.02075 * vX_[10];
+ vX_[14] = 1.547475 * vX_[13];
+ vX_[15] = -0.038686875 + vX_[14];
+ vX_[16] = 0 - vX_[15];
+ vX_[17] = 0.184 * vX_[9] - 0.02075 * vX_[8];
+ vX_[18] = 0 - 1.547475 * vX_[17];
+ vX_[19] = vX_[9] * vX_[16] + vX_[8] * vX_[18];
+ vX_[20] = 1.547475 * vX_[17];
+ vX_[21] = 0 - 1.38614328745655 * vX_[13];
+ vX_[22] = vX_[20] * vX_[17] - vX_[21] * vX_[13];
+ vX_[23] = 0.0107369757464698 - vX_[18] * vX_[17] - vX_[22];
+ vX_[24] = 0.000199340411771047 + vX_[18] * vX_[13] - -0.038686875 * vX_[17];
+ vX_[25] = vX_[8] * vX_[23] + vX_[10] * vX_[24];
+ vX_[26] = 0.00315291990945349 + -0.07737375 * vX_[13] + vX_[14] * vX_[13] - vX_[22];
+ vX_[27] = vX_[8] * vX_[24] + vX_[10] * vX_[26];
+ vX_[28] = vX_[25] * vX_[8] + vX_[27] * vX_[10];
+ vX_[29] = 0.011046 + vX_[22] + vX_[28];
+ vX_[30] = vX_[19] / vX_[29];
+ vX_[31] = 0 - vX_[12] * vX_[30];
+ vX_[32] = sin(x_in[4]);
+ vX_[33] = 3.650675 - vX_[19] * vX_[30];
+ vX_[34] = -0.161331712543454 * vX_[10];
+ vX_[35] = vX_[34] * vX_[10];
+ vX_[36] = vX_[11] * vX_[10];
+ vX_[37] = vX_[36] / vX_[29];
+ vX_[38] = 3.650675 + vX_[35] - vX_[36] * vX_[37];
+ vX_[39] = vX_[33] - vX_[38];
+ vX_[40] = vX_[7] * vX_[31] + vX_[32] * vX_[39];
+ vX_[41] = vX_[12] / vX_[29];
+ vX_[35] = 3.48934328745655 - vX_[35] - vX_[12] * vX_[41];
+ vX_[42] = vX_[35] - vX_[38];
+ vX_[43] = vX_[32] * vX_[31];
+ vX_[44] = vX_[7] * vX_[42] + vX_[43];
+ vX_[45] = -0.112 * vX_[32];
+ vX_[46] = 0.112 * vX_[6];
+ vX_[47] = vX_[32] * vX_[45] + vX_[7] * vX_[46];
+ vX_[48] = vX_[47] * vX_[33];
+ vX_[49] = vX_[8] * vX_[16] + vX_[10] * vX_[18];
+ vX_[50] = -0.012652 + vX_[27] * vX_[8] + vX_[25] * vX_[9];
+ vX_[51] = -0.057838 - vX_[49] - vX_[50] * vX_[30];
+ vX_[52] = vX_[48] + vX_[51];
+ vX_[53] = 0 - -6.25528861700981e-05 * vX_[13];
+ vX_[54] = 0 - 0.00345708950900075 * vX_[13];
+ vX_[55] = 0 - vX_[54];
+ vX_[56] = -0.001243 + vX_[8] * vX_[53] + vX_[9] * vX_[55];
+ vX_[57] = 0 - vX_[56] * vX_[30];
+ vX_[58] = vX_[47] * vX_[31];
+ vX_[59] = vX_[57] - vX_[58];
+ vX_[60] = vX_[7] * vX_[52] + vX_[32] * vX_[59];
+ vX_[61] = -6.25528861700981e-05 * vX_[9] + 0.00345708950900075 * vX_[8];
+ vX_[62] = vX_[61] * vX_[8] - vX_[50] * vX_[41];
+ vX_[63] = vX_[58] + vX_[62];
+ vX_[64] = 0 - vX_[47] * vX_[35];
+ vX_[15] = vX_[21] + vX_[15];
+ vX_[65] = vX_[20] + vX_[18];
+ vX_[49] = 0.057838 + vX_[15] * vX_[8] + vX_[65] * vX_[9] + vX_[49] - vX_[56] * vX_[41];
+ vX_[66] = vX_[64] + vX_[49];
+ vX_[67] = vX_[7] * vX_[63] + vX_[32] * vX_[66];
+ vX_[68] = 0.160298259823722 + vX_[60] * vX_[6] + vX_[67] * vX_[32];
+ vX_[69] = vX_[67] * vX_[7] + vX_[60] * vX_[32];
+ vX_[70] = 2. * vX_[51];
+ vX_[71] = vX_[50] / vX_[29];
+ vX_[28] = 0.019432 + vX_[26] + vX_[23] + vX_[22] - vX_[28] - vX_[50] * vX_[71];
+ vX_[72] = vX_[70] * vX_[47] + vX_[28] + vX_[48] * vX_[47];
+ vX_[54] = 2. * vX_[54];
+ vX_[73] = 2. * vX_[53];
+ vX_[74] = vX_[56] / vX_[29];
+ vX_[75] =
+ -0.001387 + vX_[54] * vX_[8] + vX_[73] * vX_[9] + vX_[10] * vX_[53] + vX_[8] * vX_[55] - vX_[50] * vX_[74];
+ vX_[76] = vX_[57] * vX_[47] + vX_[75] - vX_[62] * vX_[47] - vX_[58] * vX_[47];
+ vX_[77] = vX_[32] * vX_[76];
+ vX_[78] = vX_[7] * vX_[72] + vX_[77];
+ vX_[22] = 0.029115 + vX_[22] - vX_[56] * vX_[74];
+ vX_[79] = 2. * vX_[49];
+ vX_[80] = vX_[22] - vX_[79] * vX_[47] - vX_[64] * vX_[47];
+ vX_[81] = vX_[7] * vX_[76] + vX_[32] * vX_[80];
+ vX_[82] = vX_[78] * vX_[7] + vX_[81] * vX_[32];
+ vX_[83] = 0.09570849 + vX_[82];
+ vX_[84] = vX_[69] / vX_[83];
+ vX_[85] = vX_[40] * vX_[6] + vX_[44] * vX_[32] - vX_[68] * vX_[84];
+ vX_[86] = 0 - vX_[5] * vX_[85];
+ vX_[87] = vX_[15] * vX_[10] + vX_[65] * vX_[8] - vX_[19] - vX_[56] * vX_[37];
+ vX_[88] = vX_[34] * vX_[8] - vX_[12] * vX_[37];
+ vX_[89] = vX_[87] - vX_[47] * vX_[88];
+ vX_[90] = 0 - vX_[19] * vX_[37];
+ vX_[91] = vX_[61] * vX_[10] - vX_[50] * vX_[37];
+ vX_[92] = vX_[47] * vX_[90] + vX_[91];
+ vX_[93] = vX_[32] * vX_[92];
+ vX_[94] = 0 - vX_[89];
+ vX_[95] = vX_[7] * vX_[94] + vX_[93];
+ vX_[96] = vX_[68] / vX_[83];
+ vX_[93] = -1.52322944854339e-09 + vX_[89] * vX_[6] + vX_[93] - vX_[95] - -0.00021200017 * vX_[96];
+ vX_[97] = vX_[86] + vX_[93];
+ vX_[98] = cos(x_in[3]);
+ vX_[99] = vX_[32] * vX_[52] + vX_[6] * vX_[59];
+ vX_[100] = vX_[32] * vX_[63] + vX_[6] * vX_[66];
+ vX_[101] = -0.0022920002 + vX_[81] * vX_[6] + vX_[78] * vX_[32];
+ vX_[102] = vX_[99] * vX_[6] + vX_[100] * vX_[32] - vX_[101] * vX_[96];
+ vX_[103] = -0.304 * vX_[98];
+ vX_[104] = vX_[103] * vX_[85];
+ vX_[105] = 0 - vX_[90];
+ vX_[106] = vX_[32] * vX_[94] + vX_[6] * vX_[92];
+ vX_[107] = 0.008711861 - vX_[106];
+ vX_[108] = 0 - vX_[6] * vX_[88] - vX_[32] * vX_[105] - vX_[107] * vX_[84];
+ vX_[109] = vX_[5] * vX_[108];
+ vX_[110] = vX_[109] - vX_[104];
+ vX_[111] = vX_[102] + vX_[104] - vX_[110];
+ vX_[112] = vX_[3] * vX_[97] + vX_[98] * vX_[111];
+ vX_[113] = vX_[107] / vX_[83];
+ vX_[114] = 0 - -0.00021200017 * vX_[113];
+ vX_[109] = 0 - vX_[109];
+ vX_[115] = vX_[114] + vX_[109] - vX_[110];
+ vX_[116] = vX_[103] * vX_[108];
+ vX_[95] = 1.52322944854339e-09 + vX_[95] - vX_[101] * vX_[113];
+ vX_[117] = vX_[116] + vX_[95];
+ vX_[118] = vX_[3] * vX_[115] + vX_[98] * vX_[117];
+ vX_[119] = vX_[101] / vX_[83];
+ vX_[120] = 0.0036857284 - -0.00021200017 * vX_[119];
+ vX_[106] = -0.008711861 + vX_[89] * vX_[32] + vX_[92] * vX_[7] + vX_[106] - -0.00021200017 * vX_[84];
+ vX_[121] = vX_[44] * vX_[7] + vX_[40] * vX_[32];
+ vX_[122] = 1.7423722 + vX_[38] + vX_[121] - vX_[69] * vX_[84];
+ vX_[123] = 0 - vX_[5] * vX_[122];
+ vX_[124] = -0.160298259823722 + vX_[99] * vX_[32] + vX_[100] * vX_[7] - vX_[101] * vX_[84];
+ vX_[125] = vX_[120] + vX_[106] * vX_[103] + vX_[123] * vX_[103] - vX_[124] * vX_[5];
+ vX_[126] = vX_[98] * vX_[125];
+ vX_[127] = 0 - vX_[3];
+ vX_[128] = 2. * vX_[124];
+ vX_[129] = vX_[32] * vX_[72] + vX_[6] * vX_[76];
+ vX_[77] = vX_[77] + vX_[6] * vX_[80];
+ vX_[130] = vX_[129] * vX_[32] + vX_[77] * vX_[6];
+ vX_[131] = 0.01828449 + vX_[130] - vX_[101] * vX_[119];
+ vX_[132] = vX_[103] * vX_[122];
+ vX_[133] = vX_[32] * vX_[42] + vX_[6] * vX_[31];
+ vX_[43] = vX_[43] + vX_[6] * vX_[39];
+ vX_[134] = vX_[133] * vX_[32] + vX_[43] * vX_[6];
+ vX_[121] = 1.7423722 + vX_[39] + vX_[42] + vX_[38] - vX_[134] - vX_[121] - vX_[107] * vX_[113];
+ vX_[135] = vX_[32] * vX_[88] + vX_[7] * vX_[105] - vX_[107] * vX_[96];
+ vX_[136] = vX_[5] * vX_[121] - vX_[103] * vX_[135];
+ vX_[134] = 1.7423722 + vX_[38] + vX_[134] - vX_[68] * vX_[96];
+ vX_[38] = vX_[5] * vX_[135] - vX_[103] * vX_[134];
+ vX_[137] = vX_[136] * vX_[5] - vX_[38] * vX_[103];
+ vX_[138] = vX_[128] * vX_[103] + vX_[131] + vX_[132] * vX_[103] - vX_[137];
+ vX_[139] = vX_[126] + vX_[127] * vX_[138];
+ vX_[140] = -0.00021200017 / vX_[83];
+ vX_[130] = 0.081661 + vX_[80] + vX_[72] - vX_[130] - vX_[82] - -0.00021200017 * vX_[140];
+ vX_[82] = 2. * vX_[106];
+ vX_[141] = vX_[130] - vX_[82] * vX_[5] - vX_[123] * vX_[5] - vX_[137];
+ vX_[142] = vX_[98] * vX_[141] + vX_[127] * vX_[125];
+ vX_[143] = -0.0037997814 + vX_[139] * vX_[98] + vX_[142] * vX_[3];
+ vX_[144] = vX_[98] * vX_[97] + vX_[127] * vX_[111];
+ vX_[145] = vX_[98] * vX_[115] + vX_[127] * vX_[117];
+ vX_[146] = -0.0055615274403 + vX_[144] * vX_[98] + vX_[145] * vX_[3];
+ vX_[147] = vX_[142] * vX_[98] + vX_[139] * vX_[127];
+ vX_[148] = 0.010329999 + vX_[137] + vX_[147];
+ vX_[149] = vX_[146] / vX_[148];
+ vX_[150] = vX_[112] * vX_[98] + vX_[118] * vX_[3] + vX_[110] - vX_[143] * vX_[149];
+ vX_[151] = sin(x_in[2]);
+ vX_[152] = -0.112 * vX_[151];
+ vX_[153] = 0.112 * vX_[1];
+ vX_[154] = vX_[151] * vX_[152] + vX_[2] * vX_[153];
+ vX_[155] = vX_[114] * vX_[5] + vX_[109] * vX_[5] - vX_[93] * vX_[103] - vX_[86] * vX_[103];
+ vX_[156] = vX_[102] * vX_[103] + vX_[104] * vX_[103] - vX_[95] * vX_[5] - vX_[116] * vX_[5];
+ vX_[157] = -0.011715295 - vX_[98] * vX_[155] - vX_[3] * vX_[156];
+ vX_[158] = vX_[143] / vX_[148];
+ vX_[159] = 5.399998e-05 + vX_[127] * vX_[155] + vX_[98] * vX_[156] - vX_[157] * vX_[158];
+ vX_[160] = vX_[132] + vX_[124];
+ vX_[161] = 0 - vX_[160];
+ vX_[162] = vX_[123] + vX_[106];
+ vX_[163] = vX_[3] * vX_[161] + vX_[98] * vX_[162];
+ vX_[164] = -0.01438086 - vX_[163];
+ vX_[165] = vX_[164] / vX_[148];
+ vX_[166] = vX_[110] - vX_[157] * vX_[165];
+ vX_[167] = 0 - vX_[85];
+ vX_[168] = vX_[127] * vX_[108] + vX_[98] * vX_[167] - vX_[164] * vX_[149];
+ vX_[169] = vX_[154] * vX_[168];
+ vX_[170] = vX_[150] * vX_[154] + vX_[159] - vX_[166] * vX_[154] - vX_[169] * vX_[154];
+ vX_[126] = vX_[3] * vX_[141] + vX_[126];
+ vX_[171] = vX_[3] * vX_[125] + vX_[98] * vX_[138];
+ vX_[172] = vX_[126] * vX_[3] + vX_[171] * vX_[98];
+ vX_[173] = 0.20986895 + vX_[137] + vX_[172] - vX_[143] * vX_[158];
+ vX_[174] = vX_[98] * vX_[161] + vX_[127] * vX_[162];
+ vX_[175] = 0.647967112 + vX_[174] - vX_[143] * vX_[165];
+ vX_[176] = 2. * vX_[175];
+ vX_[177] = vX_[134] - vX_[122];
+ vX_[178] = vX_[121] - vX_[122];
+ vX_[179] = vX_[98] * vX_[135];
+ vX_[180] = vX_[3] * vX_[178] + vX_[179];
+ vX_[181] = vX_[3] * vX_[135] + vX_[98] * vX_[177];
+ vX_[182] = vX_[180] * vX_[3] + vX_[181] * vX_[98];
+ vX_[183] = vX_[98] * vX_[178] + vX_[127] * vX_[135];
+ vX_[179] = vX_[179] + vX_[127] * vX_[177];
+ vX_[184] = vX_[183] * vX_[98] + vX_[179] * vX_[127];
+ vX_[185] = 2.327 + vX_[177] + vX_[178] + vX_[122] - vX_[182] - vX_[184] - vX_[164] * vX_[165];
+ vX_[186] = 0 - vX_[154] * vX_[185];
+ vX_[187] = vX_[173] - vX_[176] * vX_[154] - vX_[186] * vX_[154];
+ vX_[188] = vX_[2] * vX_[170] + vX_[151] * vX_[187];
+ vX_[160] = -1 * (vX_[38] + vX_[160]);
+ vX_[189] = -1 * (vX_[136] + vX_[162]);
+ vX_[174] = -0.647967112 + vX_[160] * vX_[98] + vX_[189] * vX_[3] - vX_[174] - vX_[157] * vX_[149];
+ vX_[190] = 2. * vX_[174];
+ vX_[191] = vX_[157] / vX_[148];
+ vX_[172] = 0.20236395 + vX_[138] + vX_[141] + vX_[137] - vX_[172] - vX_[147] - vX_[157] * vX_[191];
+ vX_[182] = 2.327 + vX_[122] + vX_[182] - vX_[146] * vX_[149];
+ vX_[147] = vX_[154] * vX_[182];
+ vX_[137] = vX_[190] * vX_[154] + vX_[172] + vX_[147] * vX_[154];
+ vX_[192] = vX_[151] * vX_[170];
+ vX_[193] = vX_[2] * vX_[137] + vX_[192];
+ vX_[194] = -0.002752 + vX_[188] * vX_[1] + vX_[193] * vX_[151];
+ vX_[195] = vX_[193] * vX_[2] + vX_[188] * vX_[151];
+ vX_[196] = 0.051393528 + vX_[195];
+ vX_[197] = vX_[194] / vX_[196];
+ vX_[198] = 0.0055279857 - -0.022851627 * vX_[197];
+ vX_[110] = vX_[144] * vX_[127] + vX_[145] * vX_[98] + vX_[110];
+ vX_[199] = vX_[110] / vX_[148];
+ vX_[200] = 0 - vX_[98] * vX_[108] - vX_[3] * vX_[167] - vX_[164] * vX_[199];
+ vX_[201] = 0.0055615274403 + vX_[112] * vX_[127] + vX_[118] * vX_[98] - vX_[154] * vX_[200] - vX_[143] * vX_[199];
+ vX_[202] = vX_[179] * vX_[98] + vX_[183] * vX_[3] - vX_[146] * vX_[199];
+ vX_[163] =
+ 0.01438086 + vX_[160] * vX_[127] + vX_[189] * vX_[98] + vX_[163] + vX_[154] * vX_[202] - vX_[157] * vX_[199];
+ vX_[203] = 0 - vX_[201];
+ vX_[204] = vX_[151] * vX_[203] + vX_[1] * vX_[163];
+ vX_[205] = vX_[169] + vX_[166];
+ vX_[206] = vX_[186] + vX_[175];
+ vX_[207] = vX_[2] * vX_[205] + vX_[151] * vX_[206];
+ vX_[208] = vX_[147] + vX_[174];
+ vX_[209] = vX_[150] - vX_[169];
+ vX_[210] = vX_[2] * vX_[208] + vX_[151] * vX_[209];
+ vX_[211] = vX_[207] * vX_[2] + vX_[210] * vX_[151];
+ vX_[212] = vX_[211] / vX_[196];
+ vX_[213] = -0.0606159433962 + vX_[201] * vX_[151] + vX_[163] * vX_[2] + vX_[204] - -0.022851627 * vX_[212];
+ vX_[214] = 0.178 * (0 - vX_[0]);
+ vX_[215] = cos(x_in[1]);
+ vX_[216] = -1 * 0.178 * vX_[215];
+ vX_[184] = 2.327 + vX_[122] + vX_[184] - vX_[110] * vX_[199];
+ vX_[217] = vX_[185] - vX_[184];
+ vX_[218] = vX_[151] * vX_[168];
+ vX_[219] = vX_[2] * vX_[217] + vX_[218];
+ vX_[220] = vX_[182] - vX_[184];
+ vX_[221] = vX_[2] * vX_[168] + vX_[151] * vX_[220];
+ vX_[222] = vX_[219] * vX_[2] + vX_[221] * vX_[151];
+ vX_[223] = 2.5924191 + vX_[184] + vX_[222] - vX_[211] * vX_[212];
+ vX_[224] = 0 - vX_[216] * vX_[223];
+ vX_[225] = vX_[151] * vX_[208] + vX_[1] * vX_[209];
+ vX_[226] = vX_[151] * vX_[205] + vX_[1] * vX_[206];
+ vX_[227] = -0.293374233908935 + vX_[225] * vX_[151] + vX_[226] * vX_[2] - vX_[194] * vX_[212];
+ vX_[228] = vX_[198] + vX_[213] * vX_[214] + vX_[224] * vX_[214] - vX_[227] * vX_[216];
+ vX_[229] = 2. * vX_[227];
+ vX_[230] = vX_[151] * vX_[137] + vX_[1] * vX_[170];
+ vX_[192] = vX_[192] + vX_[1] * vX_[187];
+ vX_[231] = vX_[230] * vX_[151] + vX_[192] * vX_[1];
+ vX_[232] = 0.08585553 + vX_[231] - vX_[194] * vX_[197];
+ vX_[233] = vX_[214] * vX_[223];
+ vX_[234] = vX_[151] * vX_[217] + vX_[1] * vX_[168];
+ vX_[218] = vX_[218] + vX_[1] * vX_[220];
+ vX_[235] = vX_[234] * vX_[151] + vX_[218] * vX_[1];
+ vX_[204] = 0.0606159433962 - vX_[204];
+ vX_[236] = vX_[204] / vX_[196];
+ vX_[222] = 2.5924191 + vX_[220] + vX_[217] + vX_[184] - vX_[235] - vX_[222] - vX_[204] * vX_[236];
+ vX_[237] = 0 - vX_[202];
+ vX_[238] = 0.293374233908935 + vX_[210] * vX_[1] + vX_[207] * vX_[151];
+ vX_[239] = vX_[238] / vX_[196];
+ vX_[240] = vX_[151] * vX_[200] + vX_[2] * vX_[237] - vX_[204] * vX_[239];
+ vX_[241] = vX_[216] * vX_[222] - vX_[214] * vX_[240];
+ vX_[235] = 2.5924191 + vX_[184] + vX_[235] - vX_[238] * vX_[239];
+ vX_[184] = vX_[216] * vX_[240] - vX_[214] * vX_[235];
+ vX_[242] = vX_[241] * vX_[216] - vX_[184] * vX_[214];
+ vX_[243] = vX_[229] * vX_[214] + vX_[232] + vX_[233] * vX_[214] - vX_[242];
+ vX_[244] = vX_[0] * vX_[228] + vX_[215] * vX_[243];
+ vX_[245] = -0.022851627 / vX_[196];
+ vX_[231] = 0.039002996 + vX_[187] + vX_[137] - vX_[231] - vX_[195] - -0.022851627 * vX_[245];
+ vX_[195] = 2. * vX_[213];
+ vX_[246] = vX_[231] - vX_[195] * vX_[216] - vX_[224] * vX_[216] - vX_[242];
+ vX_[247] = vX_[0] * vX_[246] + vX_[215] * vX_[228];
+ vX_[242] = 0.007629 + vX_[244] * vX_[215] + vX_[247] * vX_[0] + vX_[242];
+ vX_[248] = 1 / vX_[242];
+ vX_[249] = 0 - vX_[248];
+ vX_[250] = vX_[215] * x_in[6];
+ vX_[251] = vX_[250] * x_in[7];
+ vX_[252] = x_in[7] * x_in[7];
+ vX_[253] = vX_[0] * x_in[6];
+ vX_[254] = vX_[253] * vX_[253];
+ vX_[255] = vX_[253] + x_in[8];
+ vX_[256] = vX_[152] * vX_[250] + vX_[153] * x_in[7];
+ vX_[257] = 0 - vX_[255] * vX_[256];
+ vX_[258] = vX_[1] * vX_[250] + vX_[151] * x_in[7];
+ vX_[259] = vX_[258] * vX_[255];
+ vX_[260] = vX_[255] * vX_[255];
+ vX_[261] = vX_[151] * vX_[250] + vX_[2] * x_in[7];
+ vX_[262] = vX_[261] * vX_[261];
+ vX_[263] = vX_[98] * vX_[258] + vX_[127] * vX_[255];
+ vX_[264] = 0.112 * vX_[1];
+ vX_[265] = 0.112 * vX_[151];
+ vX_[266] = vX_[264] * vX_[250] + vX_[265] * x_in[7];
+ vX_[267] = -0.304 * vX_[258] + -1 * vX_[266];
+ vX_[268] = -1 * vX_[261] + x_in[9];
+ vX_[269] = -0.304 * vX_[98];
+ vX_[270] = vX_[269] * vX_[261] + vX_[98] * vX_[256];
+ vX_[271] = vX_[263] * vX_[267] - vX_[268] * vX_[270];
+ vX_[272] = vX_[263] * vX_[268];
+ vX_[273] = vX_[268] * vX_[268];
+ vX_[274] = vX_[3] * vX_[258] + vX_[98] * vX_[255];
+ vX_[275] = vX_[274] * vX_[274];
+ vX_[276] = vX_[6] * vX_[263] + vX_[32] * vX_[268];
+ vX_[277] = vX_[4] * vX_[261] + vX_[3] * vX_[256];
+ vX_[278] = vX_[274] + x_in[10];
+ vX_[279] = vX_[46] * vX_[268] + vX_[45] * vX_[263] + vX_[32] * vX_[267] + vX_[6] * vX_[270];
+ vX_[280] = vX_[276] * vX_[277] - vX_[278] * vX_[279];
+ vX_[281] = vX_[276] * vX_[278];
+ vX_[282] = vX_[278] * vX_[278];
+ vX_[283] = vX_[32] * vX_[263] + vX_[7] * vX_[268];
+ vX_[284] = vX_[283] * vX_[283];
+ vX_[285] = vX_[9] * vX_[283] + vX_[8] * vX_[278];
+ vX_[286] = vX_[8] * vX_[283] + vX_[10] * vX_[278];
+ vX_[287] = vX_[285] * vX_[286];
+ vX_[288] = vX_[276] + x_in[11];
+ vX_[289] = 0.112 * vX_[32];
+ vX_[290] = 0.112 * vX_[6];
+ vX_[291] = 0 - vX_[6];
+ vX_[292] = vX_[289] * vX_[268] + vX_[290] * vX_[263] + vX_[291] * vX_[267] + vX_[32] * vX_[270];
+ vX_[293] = vX_[8] * vX_[277] + vX_[9] * vX_[292] + vX_[17] * vX_[276];
+ vX_[294] = vX_[288] * vX_[293];
+ vX_[295] = 0.02075 * vX_[278] + -0.184 * vX_[283] + vX_[279];
+ vX_[296] = vX_[285] * vX_[295];
+ vX_[297] = vX_[285] * vX_[288];
+ vX_[298] = vX_[286] * vX_[288];
+ vX_[299] = vX_[286] * vX_[286];
+ vX_[300] = vX_[285] * vX_[285];
+ vX_[301] = -0.00751 * vX_[287] + 0.038686875 * (vX_[294] - vX_[296]) + -0.000829 * vX_[297] - 1.5e-05 * vX_[298] -
+ 0.000198 * (vX_[299] - vX_[300]);
+ vX_[302] = x_in[17] - vX_[301];
+ vX_[303] = 0.02075 * vX_[9] + 0.184 * vX_[8];
+ vX_[304] = 0 - vX_[285];
+ vX_[305] = vX_[304] * x_in[11];
+ vX_[306] = vX_[286] * x_in[11];
+ vX_[307] = 0 - vX_[293];
+ vX_[308] = vX_[307] * x_in[11];
+ vX_[296] = 0.038686875 * vX_[287] + -1.547475 * (vX_[296] - vX_[294]) + 0.00345708950900075 * vX_[305] +
+ -6.25528861700981e-05 * vX_[306] + 1.38614328745655 * vX_[308] + (0.038686875 * vX_[302]) / 0.009277;
+ vX_[294] = 0 - vX_[9];
+ vX_[309] = vX_[294] * vX_[277] + vX_[8] * vX_[292] + vX_[303] * vX_[276];
+ vX_[310] = vX_[288] * vX_[288];
+ vX_[311] = 1.547475 * (vX_[286] * vX_[295] - vX_[288] * vX_[309]) + 1.547475 * vX_[309] * x_in[11] -
+ 0.038686875 * (vX_[310] + vX_[299]);
+ vX_[312] = 0 - vX_[283];
+ vX_[313] = vX_[312] * x_in[10];
+ vX_[314] = vX_[276] * x_in[10];
+ vX_[315] = 0 - vX_[292];
+ vX_[316] = vX_[315] * x_in[10];
+ vX_[317] = vX_[279] * x_in[10];
+ vX_[318] = vX_[283] * vX_[278];
+ vX_[319] = vX_[283] * vX_[276];
+ vX_[320] = vX_[285] * vX_[309] - vX_[286] * vX_[293];
+ vX_[300] = 0.000198 * vX_[298] + 1.5e-05 * (vX_[310] - vX_[300]) + 0.00315291990945349 * vX_[305] +
+ 0.000199340411771047 * vX_[306] + 0.00345708950900075 * vX_[308] + (-0.000829 * vX_[302]) / 0.009277 -
+ 0.038686875 * vX_[320] - -0.00146 * vX_[297] - -0.000829 * vX_[287];
+ vX_[310] = 0.00605 * vX_[298] + 1.5e-05 * vX_[287] + 0.000199340411771047 * vX_[305] +
+ 0.0107369757464698 * vX_[306] + -6.25528861700981e-05 * vX_[308] + (1.5e-05 * vX_[302]) / 0.009277 -
+ 0.000198 * vX_[297] - -0.000829 * (vX_[310] - vX_[299]);
+ vX_[320] = 0.038686875 * vX_[297] + 1.547475 * vX_[320] + -0.038686875 * vX_[305];
+ vX_[305] = vX_[276] * vX_[276];
+ vX_[297] = -0.001243 * vX_[318] + 0.009683 * vX_[319] + vX_[10] * vX_[300] + vX_[8] * vX_[310] +
+ 0.02075 * vX_[320] - -0.012652 * vX_[281] - -0.001387 * (vX_[305] - vX_[284]);
+ vX_[308] = x_in[16] - vX_[297];
+ vX_[306] = (vX_[56] * vX_[308]) / vX_[29];
+ vX_[302] = 0.057838 * vX_[280] + -0.001387 * vX_[281] + -0.012652 * (vX_[282] - vX_[284]) +
+ (0.009277 * vX_[302]) / 0.009277 + vX_[301] + vX_[303] * vX_[296] + vX_[17] * vX_[311] +
+ vX_[22] * vX_[313] + vX_[75] * vX_[314] + vX_[57] * vX_[316] + vX_[49] * vX_[317] + vX_[306] -
+ -0.008386 * vX_[318] - -0.001243 * vX_[319];
+ vX_[301] = vX_[283] * vX_[277] - vX_[278] * vX_[292];
+ vX_[299] = (vX_[50] * vX_[308]) / vX_[29];
+ vX_[319] = -0.018069 * vX_[281] + 0.057838 * vX_[301] + -0.012652 * vX_[319] + vX_[8] * vX_[300] +
+ vX_[9] * vX_[310] + -0.184 * vX_[320] + vX_[75] * vX_[313] + vX_[28] * vX_[314] + vX_[51] * vX_[316] +
+ vX_[62] * vX_[317] + vX_[299] - -0.001387 * vX_[318] - -0.001243 * (vX_[282] - vX_[305]);
+ vX_[282] = (vX_[19] * vX_[308]) / vX_[29];
+ vX_[301] = 0.057838 * vX_[281] + -2.1032 * vX_[301] + vX_[320] + vX_[57] * vX_[313] + vX_[51] * vX_[314] +
+ vX_[33] * vX_[316] + vX_[31] * vX_[317] + vX_[282];
+ vX_[320] = (vX_[12] * vX_[308]) / vX_[29];
+ vX_[318] = 0.057838 * vX_[318] + 2.1032 * vX_[280] + vX_[8] * vX_[296] + vX_[9] * vX_[311] + vX_[49] * vX_[313] +
+ vX_[62] * vX_[314] + vX_[31] * vX_[316] + vX_[35] * vX_[317] + vX_[320];
+ vX_[280] = 0 - vX_[274];
+ vX_[281] = vX_[280] * x_in[9];
+ vX_[298] = vX_[263] * x_in[9];
+ vX_[287] = 0 - vX_[277];
+ vX_[321] = vX_[287] * x_in[9];
+ vX_[322] = vX_[270] * x_in[9];
+ vX_[323] = vX_[268] * vX_[277];
+ vX_[324] = vX_[274] * vX_[267];
+ vX_[325] = vX_[274] * vX_[263];
+ vX_[326] = vX_[274] * vX_[268];
+ vX_[327] = vX_[263] * vX_[263];
+ vX_[328] = 0.160298259823722 * (vX_[323] - vX_[324]) + -0.06337651 * vX_[325] + -0.0022920002 * vX_[326] +
+ vX_[32] * vX_[302] + vX_[7] * vX_[319] + vX_[46] * vX_[301] + vX_[289] * vX_[318] -
+ -0.008711861 * vX_[271] - -0.00021200017 * vX_[272] - 0.0036857284 * (vX_[327] - vX_[275]);
+ vX_[329] = x_in[15] - vX_[328];
+ vX_[330] = (vX_[101] * vX_[329]) / vX_[83];
+ vX_[331] = vX_[274] * vX_[270] - vX_[263] * vX_[277];
+ vX_[332] = 1.52322944854339e-09 * vX_[271] + 0.0036857284 * vX_[272] + -0.00021200017 * (vX_[273] - vX_[275]) +
+ vX_[6] * vX_[302] + vX_[32] * vX_[319] + vX_[45] * vX_[301] + vX_[290] * vX_[318] + vX_[131] * vX_[281] +
+ vX_[120] * vX_[298] + vX_[102] * vX_[321] + vX_[95] * vX_[322] + vX_[330] -
+ 0.160298259823722 * vX_[331] - 0.01404749 * vX_[326] - -0.0022920002 * vX_[325];
+ vX_[333] = (vX_[29] * vX_[308]) / vX_[29];
+ vX_[334] = (-0.00021200017 * vX_[329]) / vX_[83];
+ vX_[297] = -0.008711861 * vX_[331] + 1.52322944854339e-09 * (vX_[324] - vX_[323]) + 0.077424 * vX_[272] +
+ -0.00021200017 * vX_[325] + vX_[333] + vX_[297] + vX_[120] * vX_[281] + vX_[130] * vX_[298] +
+ vX_[93] * vX_[321] + vX_[114] * vX_[322] + vX_[334] - 0.0036857284 * vX_[326] -
+ -0.0022920002 * (vX_[273] - vX_[327]);
+ vX_[335] = (vX_[69] * vX_[329]) / vX_[83];
+ vX_[331] = 1.7423722 * vX_[331] + 0.160298259823722 * vX_[326] + -0.008711861 * vX_[272] + vX_[32] * vX_[301] +
+ vX_[291] * vX_[318] + vX_[124] * vX_[281] + vX_[106] * vX_[298] + vX_[85] * vX_[321] +
+ vX_[108] * vX_[322] + vX_[335] - 1.52322944854339e-09 * (vX_[327] + vX_[275]);
+ vX_[336] = 0 - vX_[261];
+ vX_[337] = vX_[336] * x_in[8];
+ vX_[338] = vX_[258] * x_in[8];
+ vX_[339] = 0 - vX_[266];
+ vX_[340] = vX_[339] * x_in[8];
+ vX_[341] = vX_[256] * x_in[8];
+ vX_[342] = vX_[255] * vX_[266];
+ vX_[343] = vX_[261] * vX_[258];
+ vX_[344] = vX_[261] * vX_[255];
+ vX_[345] = vX_[258] * vX_[258];
+ vX_[346] = -0.0055615274403 * vX_[342] + 0.00750500000000001 * vX_[343] + -0.0037997814 * vX_[344] +
+ vX_[127] * vX_[332] + vX_[98] * vX_[297] - 0.01438086 * vX_[257] - -0.011715295 * vX_[259] -
+ 5.399998e-05 * (vX_[345] - vX_[262]);
+ vX_[347] = x_in[14] - vX_[346];
+ vX_[348] = (vX_[143] * vX_[347]) / vX_[148];
+ vX_[349] = vX_[261] * vX_[256] - vX_[258] * vX_[266];
+ vX_[350] = 0.647967112 * vX_[257] + 5.399998e-05 * vX_[259] + -0.011715295 * (vX_[260] - vX_[262]) +
+ vX_[98] * vX_[332] + vX_[3] * vX_[297] + -0.304 * vX_[331] + vX_[173] * vX_[337] + vX_[159] * vX_[338] +
+ vX_[150] * vX_[340] + vX_[175] * vX_[341] + vX_[348] - -0.0055615274403 * vX_[349] -
+ -0.192033951 * vX_[344] - -0.0037997814 * vX_[343];
+ vX_[342] = 0 - vX_[342];
+ vX_[351] = (vX_[68] * vX_[329]) / vX_[83];
+ vX_[324] = -1.7423722 * (vX_[324] - vX_[323]) + 0.160298259823722 * vX_[325] + 1.52322944854339e-09 * vX_[272] +
+ vX_[6] * vX_[301] + vX_[32] * vX_[318] + vX_[102] * vX_[281] + vX_[93] * vX_[298] + vX_[134] * vX_[321] +
+ vX_[135] * vX_[322] + vX_[351] - -0.008711861 * (vX_[273] + vX_[275]);
+ vX_[323] = (vX_[36] * vX_[308]) / vX_[29];
+ vX_[275] = (vX_[107] * vX_[329]) / vX_[83];
+ vX_[327] = 1.7423722 * vX_[271] + 1.52322944854339e-09 * vX_[326] + -0.008711861 * vX_[325] +
+ 2.1032 * (vX_[283] * vX_[279] - vX_[276] * vX_[292]) + vX_[294] * vX_[296] + vX_[8] * vX_[311] +
+ vX_[87] * vX_[313] + vX_[91] * vX_[314] + vX_[90] * vX_[316] + vX_[88] * vX_[317] + vX_[323] +
+ vX_[95] * vX_[281] + vX_[114] * vX_[298] + vX_[135] * vX_[321] + vX_[121] * vX_[322] + vX_[275] -
+ 0.160298259823722 * (vX_[273] + vX_[327]) - 0.057838 * (vX_[305] + vX_[284]);
+ vX_[326] = (vX_[83] * vX_[329]) / vX_[83];
+ vX_[325] = (vX_[157] * vX_[347]) / vX_[148];
+ vX_[349] = 0.01438086 * vX_[349] + 0.647967112 * vX_[342] + -0.199538951 * vX_[259] + -0.011715295 * vX_[343] +
+ vX_[269] * vX_[324] + vX_[4] * vX_[327] + -1 * (vX_[328] + vX_[326]) + vX_[159] * vX_[337] +
+ vX_[172] * vX_[338] + vX_[174] * vX_[340] + vX_[166] * vX_[341] + vX_[325] - 5.399998e-05 * vX_[344] -
+ -0.0037997814 * (vX_[260] - vX_[345]);
+ vX_[328] = (vX_[146] * vX_[347]) / vX_[148];
+ vX_[342] = -2.327 * vX_[342] + -0.0055615274403 * vX_[343] + 0.647967112 * vX_[259] + vX_[98] * vX_[324] +
+ vX_[3] * vX_[327] + vX_[150] * vX_[337] + vX_[174] * vX_[338] + vX_[182] * vX_[340] +
+ vX_[168] * vX_[341] + vX_[328] - 0.01438086 * (vX_[260] + vX_[262]);
+ vX_[262] = (vX_[164] * vX_[347]) / vX_[148];
+ vX_[345] = 2.327 * vX_[257] + 0.647967112 * vX_[344] + 0.01438086 * vX_[343] + -1 * vX_[331] + vX_[175] * vX_[337] +
+ vX_[166] * vX_[338] + vX_[168] * vX_[340] + vX_[185] * vX_[341] + vX_[262] -
+ -0.0055615274403 * (vX_[260] + vX_[345]);
+ vX_[344] = 0 - vX_[253];
+ vX_[343] = vX_[344] * x_in[7];
+ vX_[331] = vX_[250] * vX_[250];
+ vX_[260] = vX_[253] * x_in[7];
+ vX_[257] = vX_[253] * vX_[250];
+ vX_[259] = -0.022851627 * vX_[251] + 0.0055279857 * (vX_[331] - vX_[254]) + x_in[13] - -0.002752 * vX_[260] -
+ 0.046852534 * vX_[257] - vX_[151] * vX_[350] - vX_[2] * vX_[349] - vX_[153] * vX_[342] -
+ vX_[265] * vX_[345];
+ vX_[305] = (vX_[194] * vX_[259]) / vX_[196];
+ vX_[254] = 0.0055279857 * vX_[251] + -0.022851627 * (vX_[252] - vX_[254]) + vX_[1] * vX_[350] +
+ vX_[151] * vX_[349] + vX_[152] * vX_[342] + vX_[264] * vX_[345] + vX_[232] * vX_[343] +
+ vX_[198] * vX_[251] + vX_[305] - 0.012390532 * vX_[260] - -0.002752 * vX_[257];
+ vX_[284] = (0 - vX_[248]) * 9.81;
+ vX_[273] = vX_[151] * vX_[163];
+ vX_[271] = vX_[221] * vX_[1] + vX_[219] * vX_[151] - vX_[238] * vX_[212];
+ vX_[272] = vX_[2] * vX_[203] + vX_[273];
+ vX_[273] =
+ -0.0099341499912 + vX_[201] * vX_[1] + vX_[273] - vX_[216] * vX_[271] - vX_[272] - -0.022851627 * vX_[239];
+ vX_[352] = vX_[214] * vX_[271];
+ vX_[353] = 0 - vX_[1] * vX_[200] - vX_[151] * vX_[237] - vX_[204] * vX_[212];
+ vX_[354] = vX_[216] * vX_[353];
+ vX_[355] = vX_[354] - vX_[352];
+ vX_[352] = vX_[225] * vX_[1] + vX_[226] * vX_[151] + vX_[352] - vX_[194] * vX_[239] - vX_[355];
+ vX_[356] = vX_[0] * vX_[273] + vX_[215] * vX_[352];
+ vX_[357] = vX_[284] * vX_[215];
+ vX_[358] = vX_[284] * vX_[0];
+ vX_[272] = 0.0099341499912 + vX_[272] + vX_[214] * vX_[353] - vX_[194] * vX_[236];
+ vX_[359] = (vX_[148] * vX_[347]) / vX_[148];
+ vX_[360] = (-0.022851627 * vX_[259]) / vX_[196];
+ vX_[257] = -0.034462002 * vX_[251] + -0.022851627 * vX_[257] + vX_[359] + vX_[346] + vX_[198] * vX_[343] +
+ vX_[231] * vX_[251] + vX_[360] - 0.0055279857 * vX_[260] - -0.002752 * (vX_[252] - vX_[331]);
+ vX_[354] = 0 - vX_[354] - -0.022851627 * vX_[236] - vX_[355];
+ vX_[260] = vX_[0] * vX_[354] + vX_[215] * vX_[272];
+ vX_[355] = (x_in[12] - vX_[215] * vX_[254] - vX_[0] * vX_[257] -
+ 9.81 * (vX_[356] * vX_[215] + vX_[260] * vX_[0] + vX_[355])) /
+ vX_[242];
+ vX_[331] = 0 - vX_[248] * vX_[355];
+ vX_[346] = vX_[331] * vX_[215];
+ vX_[252] = vX_[331] * vX_[0];
+ vX_[361] = vX_[249] * vX_[215];
+ vX_[362] = vX_[361] * 1 / vX_[196];
+ vX_[248] = 0 - vX_[248];
+ vX_[363] = vX_[248] * vX_[0];
+ vX_[364] = vX_[363] * 1 / vX_[196];
+ vX_[365] = vX_[362] * vX_[194] + vX_[364] * -0.022851627;
+ vX_[366] = 0 - vX_[365];
+ vX_[367] = vX_[366] * vX_[153] + vX_[361] * vX_[152];
+ vX_[368] = 0 - vX_[365];
+ vX_[369] = vX_[368] * vX_[2] + vX_[361] * vX_[151];
+ vX_[370] = vX_[367] * vX_[3] + vX_[369] * vX_[4];
+ vX_[371] = 0 - vX_[365];
+ vX_[372] = vX_[371] * vX_[265] + vX_[361] * vX_[264];
+ vX_[373] = 0 - vX_[365];
+ vX_[374] = vX_[373] * vX_[151] + vX_[361] * vX_[1];
+ vX_[375] = vX_[372] * -1 + vX_[374] * -0.304;
+ vX_[376] = vX_[367] * vX_[98] + vX_[369] * vX_[269];
+ vX_[377] = vX_[369] * -1;
+ vX_[378] = vX_[375] * 1 / vX_[83];
+ vX_[379] = vX_[376] * 1 / vX_[83];
+ vX_[380] = vX_[370] * 1 / vX_[83];
+ vX_[381] = vX_[377] * 1 / vX_[83];
+ vX_[382] = vX_[367] * 1 / vX_[148];
+ vX_[383] = vX_[372] * 1 / vX_[148];
+ vX_[384] = vX_[363] * 1 / vX_[148];
+ vX_[385] = vX_[374] * 1 / vX_[148];
+ vX_[386] = vX_[369] * 1 / vX_[148];
+ vX_[387] = vX_[363] - (vX_[382] * vX_[146] + vX_[383] * vX_[164] + vX_[384] * vX_[148] + vX_[385] * vX_[143] +
+ vX_[386] * vX_[157]);
+ vX_[388] = vX_[387] * vX_[127] + vX_[374] * vX_[98];
+ vX_[389] = vX_[388] * 1 / vX_[83];
+ vX_[390] = vX_[387] * vX_[98] + vX_[374] * vX_[3];
+ vX_[391] = vX_[390] * 1 / vX_[83];
+ vX_[377] = vX_[377] - (vX_[378] * vX_[69] + vX_[379] * vX_[68] + vX_[380] * vX_[107] + vX_[381] * vX_[83] +
+ vX_[389] * vX_[101] + vX_[391] * -0.00021200017);
+ vX_[392] = vX_[375] * vX_[291] + vX_[376] * vX_[32] + vX_[377] * vX_[289] + vX_[388] * vX_[290];
+ vX_[393] = vX_[377] * vX_[32] + vX_[388] * vX_[6];
+ vX_[394] = vX_[370] * vX_[8] + vX_[392] * vX_[9] + vX_[393] * vX_[17];
+ vX_[395] = vX_[394] * 1.547475;
+ vX_[396] = vX_[370] * vX_[294] + vX_[392] * vX_[8] + vX_[393] * vX_[303];
+ vX_[397] = vX_[396] * -1.547475;
+ vX_[398] = vX_[370] * 1 / vX_[29];
+ vX_[399] = vX_[375] * vX_[32] + vX_[376] * vX_[6] + vX_[377] * vX_[46] + vX_[388] * vX_[45];
+ vX_[400] = vX_[399] * 1 / vX_[29];
+ vX_[401] = vX_[392] * 1 / vX_[29];
+ vX_[402] = vX_[390] * 1 / vX_[29];
+ vX_[403] = vX_[393] * 1 / vX_[29];
+ vX_[404] = vX_[377] * vX_[7] + vX_[388] * vX_[32];
+ vX_[405] = vX_[404] * 1 / vX_[29];
+ vX_[406] = vX_[390] - (vX_[398] * vX_[36] + vX_[400] * vX_[19] + vX_[401] * vX_[12] + vX_[402] * vX_[29] +
+ vX_[403] * vX_[56] + vX_[405] * vX_[50]);
+ vX_[407] = vX_[406] * vX_[10] + vX_[404] * vX_[8];
+ vX_[408] = vX_[406] * vX_[8] + vX_[404] * vX_[9];
+ vX_[409] = vX_[393] - (vX_[396] * 107.793467715856 * 0.038686875 + vX_[393] * 107.793467715856 * 0.009277 +
+ vX_[407] * 107.793467715856 * -0.000829 + vX_[408] * 107.793467715856 * 1.5e-05);
+ vX_[410] = vX_[409] * 0.038686875;
+ vX_[411] = vX_[397] - vX_[410];
+ vX_[412] = vX_[395] * vX_[286] + vX_[411] * vX_[285];
+ vX_[413] = vX_[392] * 2.1032 + vX_[393] * 0.057838;
+ vX_[414] = 0 - vX_[413];
+ vX_[415] = vX_[370] * 2.1032;
+ vX_[416] = vX_[370] * vX_[88] + vX_[399] * vX_[31] + vX_[392] * vX_[35] + vX_[393] * vX_[49] + vX_[404] * vX_[62];
+ vX_[417] = vX_[412] + vX_[414] * vX_[278] + vX_[415] * vX_[283] + vX_[416] * x_in[10];
+ vX_[418] = 0 - vX_[395];
+ vX_[419] = vX_[399] + vX_[406] * 0.02075 + vX_[404] * -0.184;
+ vX_[420] = vX_[419] * 1.547475 + (0 - vX_[407]) * 0.038686875;
+ vX_[421] = vX_[394] * 1.547475;
+ vX_[422] = vX_[418] * vX_[288] + vX_[420] * vX_[285] + vX_[421] * x_in[11];
+ vX_[410] = 0 - vX_[397] + vX_[410];
+ vX_[397] = 0 - vX_[420];
+ vX_[423] = vX_[396] * 1.38614328745655 + vX_[407] * 0.00345708950900075 + vX_[408] * -6.25528861700981e-05;
+ vX_[424] = vX_[410] * vX_[288] + vX_[397] * vX_[286] - vX_[423] * x_in[11];
+ vX_[425] = vX_[399] * -2.1032 + vX_[404] * 0.057838;
+ vX_[426] = 0 - vX_[425];
+ vX_[427] = 0 - vX_[415];
+ vX_[428] = vX_[370] * vX_[90] + vX_[399] * vX_[33] + vX_[392] * vX_[31] + vX_[393] * vX_[57] + vX_[404] * vX_[51];
+ vX_[429] = vX_[422] * vX_[8] + vX_[424] * vX_[9] + vX_[426] * vX_[278] + vX_[427] * vX_[276] - vX_[428] * x_in[10];
+ vX_[430] = vX_[370] * 1.7423722 + (0 - vX_[377]) * -0.008711861 + vX_[388] * 1.52322944854339e-09;
+ vX_[431] = 0 - vX_[430];
+ vX_[432] = vX_[375] * 1.7423722 + (0 - vX_[388]) * 0.160298259823722 + vX_[390] * -0.008711861;
+ vX_[433] =
+ vX_[375] * vX_[108] + vX_[376] * vX_[135] + vX_[370] * vX_[121] + vX_[388] * vX_[95] + vX_[390] * vX_[114];
+ vX_[434] = vX_[417] * vX_[6] + vX_[429] * vX_[32] + vX_[431] * vX_[268] + vX_[432] * vX_[274] + vX_[433] * x_in[9];
+ vX_[435] = vX_[376] * -1.7423722;
+ vX_[436] = vX_[377] * 0.160298259823722;
+ vX_[437] = vX_[390] * 1.52322944854339e-09;
+ vX_[438] = 0 - vX_[435] + vX_[436] - vX_[437];
+ vX_[439] = 0 - vX_[432];
+ vX_[440] =
+ vX_[375] * vX_[85] + vX_[376] * vX_[134] + vX_[370] * vX_[135] + vX_[388] * vX_[102] + vX_[390] * vX_[93];
+ vX_[441] = vX_[422] * vX_[294] + vX_[424] * vX_[8] + vX_[413] * vX_[276] + vX_[425] * vX_[283] +
+ vX_[438] * vX_[268] + vX_[439] * vX_[263] - vX_[440] * x_in[9];
+ vX_[442] = 0 - (vX_[372] * 2.327 + (0 - vX_[387]) * 0.01438086 + vX_[374] * 0.647967112);
+ vX_[443] = (0 - vX_[374]) * -0.0055615274403 + vX_[369] * 0.01438086;
+ vX_[444] = vX_[367] * vX_[168] + vX_[372] * vX_[185] + vX_[374] * vX_[175] + vX_[369] * vX_[166];
+ vX_[445] = vX_[434] * vX_[98] + vX_[441] * vX_[3] + vX_[442] * vX_[255] + vX_[443] * vX_[261] + vX_[444] * x_in[8];
+ vX_[437] = vX_[435] - vX_[436] + vX_[437];
+ vX_[436] = vX_[417] * vX_[32] + vX_[429] * vX_[291] + vX_[430] * vX_[263] + vX_[437] * vX_[274];
+ vX_[435] = vX_[387] * -0.0055615274403 - (vX_[367] * -2.327 + vX_[369] * 0.647967112);
+ vX_[446] = 0 - vX_[443];
+ vX_[447] = vX_[367] * vX_[182] + vX_[372] * vX_[168] + vX_[374] * vX_[150] + vX_[369] * vX_[174];
+ vX_[448] = vX_[436] * -1 + vX_[435] * vX_[255] + vX_[446] * vX_[258] - vX_[447] * x_in[8];
+ vX_[449] = (0 - vX_[409]) * 1.5e-05 + vX_[407] * 0.000198 + vX_[408] * 0.00605;
+ vX_[450] = vX_[419] * 0.038686875 + vX_[409] * -0.000829 + (0 - vX_[407]) * -0.00146 + (0 - vX_[408]) * 0.000198;
+ vX_[394] = (0 - vX_[394]) * 0.038686875;
+ vX_[451] = vX_[407] * 1.5e-05;
+ vX_[452] = (0 - vX_[408]) * -0.000829;
+ vX_[453] = vX_[394] + vX_[451] + vX_[452];
+ vX_[453] = vX_[418] * vX_[309] + vX_[410] * vX_[293] + vX_[449] * vX_[286] + vX_[450] * vX_[285] +
+ vX_[453] * vX_[288] + vX_[453] * vX_[288];
+ vX_[410] = vX_[399] * 0.057838 + (0 - vX_[406]) * -0.012652 + vX_[393] * -0.001387 + vX_[404] * -0.018069;
+ vX_[418] = vX_[406] * 0.009683 + (0 - vX_[393]) * -0.001243 + vX_[404] * -0.012652;
+ vX_[454] = (0 - vX_[370]) * 0.057838;
+ vX_[455] = (0 - vX_[406]) * -0.001387;
+ vX_[456] = (0 - vX_[404]) * -0.001243;
+ vX_[457] = vX_[454] + vX_[455] - vX_[456];
+ vX_[458] = vX_[370] * vX_[91] + vX_[399] * vX_[51] + vX_[392] * vX_[62] + vX_[393] * vX_[75] + vX_[404] * vX_[28];
+ vX_[457] = vX_[453] + vX_[422] * vX_[303] + vX_[424] * vX_[17] + vX_[413] * vX_[277] + vX_[427] * vX_[292] +
+ vX_[410] * vX_[278] + vX_[418] * vX_[283] + vX_[457] * vX_[276] + vX_[457] * vX_[276] +
+ vX_[458] * x_in[10];
+ vX_[427] = vX_[396] * 0.038686875 + vX_[409] * -0.00751 + (0 - vX_[407]) * -0.000829 + vX_[408] * 1.5e-05;
+ vX_[409] = (0 - vX_[409]) * 0.000198;
+ vX_[452] = vX_[394] + vX_[409] - vX_[452];
+ vX_[394] = vX_[396] * -6.25528861700981e-05 + vX_[407] * 0.000199340411771047 + vX_[408] * 0.0107369757464698;
+ vX_[452] = vX_[395] * vX_[295] + vX_[397] * vX_[293] + vX_[449] * vX_[288] + vX_[427] * vX_[285] +
+ vX_[452] * vX_[286] + vX_[452] * vX_[286] + vX_[394] * x_in[11];
+ vX_[409] = 0 - vX_[409] - vX_[451];
+ vX_[419] = vX_[419] * -0.038686875 + vX_[396] * 0.00345708950900075 + vX_[407] * 0.00315291990945349 +
+ vX_[408] * 0.000199340411771047;
+ jac[138] = vX_[423] * vX_[307] + vX_[421] * vX_[309] + vX_[419] * vX_[304] + vX_[394] * vX_[286] + vX_[453];
+ vX_[419] = vX_[411] * vX_[295] + vX_[420] * vX_[309] + vX_[450] * vX_[288] + vX_[427] * vX_[286] +
+ vX_[409] * vX_[285] + vX_[409] * vX_[285] - vX_[419] * x_in[11];
+ vX_[409] = vX_[392] * 0.057838 + vX_[406] * -0.001243 + (0 - vX_[393]) * -0.008386 + (0 - vX_[404]) * -0.001387;
+ vX_[427] = vX_[393] * -0.012652;
+ vX_[455] = vX_[454] - vX_[455] - vX_[427];
+ vX_[454] = vX_[370] * vX_[87] + vX_[399] * vX_[57] + vX_[392] * vX_[49] + vX_[393] * vX_[22] + vX_[404] * vX_[75];
+ vX_[455] = vX_[412] * -0.184 + vX_[452] * vX_[8] + vX_[419] * vX_[9] + vX_[425] * vX_[277] + vX_[415] * vX_[279] +
+ vX_[409] * vX_[278] + vX_[418] * vX_[276] + vX_[455] * vX_[283] + vX_[455] * vX_[283] -
+ vX_[454] * x_in[10];
+ vX_[418] = vX_[375] * -0.008711861 + vX_[376] * 1.52322944854339e-09 + (0 - vX_[377]) * -0.00021200017 +
+ vX_[388] * 0.0036857284 + vX_[390] * 0.077424;
+ vX_[425] = vX_[376] * 0.160298259823722 + vX_[370] * -0.008711861 + vX_[377] * -0.06337651 +
+ (0 - vX_[388]) * -0.0022920002 + vX_[390] * -0.00021200017;
+ vX_[415] = (0 - vX_[375]) * 1.52322944854339e-09;
+ vX_[450] = (0 - vX_[370]) * 0.160298259823722;
+ vX_[420] = (0 - vX_[377]) * 0.0036857284;
+ vX_[411] = (0 - vX_[390]) * -0.0022920002;
+ vX_[394] = vX_[415] + vX_[450] + vX_[420] - vX_[411];
+ vX_[453] =
+ vX_[375] * vX_[106] + vX_[376] * vX_[93] + vX_[370] * vX_[114] + vX_[388] * vX_[120] + vX_[390] * vX_[130];
+ vX_[394] = vX_[417] * vX_[45] + vX_[429] * vX_[290] + vX_[457] * vX_[6] + vX_[455] * vX_[32] + vX_[430] * vX_[267] +
+ vX_[439] * vX_[277] + vX_[418] * vX_[268] + vX_[425] * vX_[274] + vX_[394] * vX_[263] +
+ vX_[394] * vX_[263] + vX_[453] * x_in[9];
+ vX_[427] = vX_[427] + vX_[456];
+ vX_[427] = vX_[412] * 0.02075 + vX_[452] * vX_[10] + vX_[419] * vX_[8] + vX_[414] * vX_[279] + vX_[426] * vX_[292] +
+ vX_[410] * vX_[276] + vX_[409] * vX_[283] + vX_[427] * vX_[278] + vX_[427] * vX_[278];
+ jac[126] = vX_[428] * vX_[315] + vX_[416] * vX_[279] + vX_[454] * vX_[312] + vX_[458] * vX_[276] + vX_[427];
+ vX_[454] = vX_[375] * 0.160298259823722 + vX_[370] * 1.52322944854339e-09 + vX_[377] * -0.0022920002 +
+ (0 - vX_[388]) * 0.01404749 + (0 - vX_[390]) * 0.0036857284;
+ vX_[458] = (0 - vX_[376]) * -0.008711861;
+ vX_[428] = vX_[388] * -0.00021200017;
+ vX_[420] = vX_[415] + vX_[458] - vX_[420] - vX_[428];
+ vX_[415] =
+ vX_[375] * vX_[124] + vX_[376] * vX_[102] + vX_[370] * vX_[95] + vX_[388] * vX_[131] + vX_[390] * vX_[120];
+ vX_[420] = vX_[427] + vX_[437] * vX_[267] + vX_[432] * vX_[270] + vX_[454] * vX_[268] + vX_[425] * vX_[263] +
+ vX_[420] * vX_[274] + vX_[420] * vX_[274] - vX_[415] * x_in[9];
+ vX_[427] =
+ vX_[367] * 0.647967112 + (0 - vX_[387]) * -0.011715295 + vX_[374] * 5.399998e-05 + vX_[369] * -0.199538951;
+ vX_[425] = vX_[367] * -0.0055615274403 + vX_[372] * 0.01438086 + vX_[387] * 0.00750500000000001 +
+ (0 - vX_[374]) * -0.0037997814 + vX_[369] * -0.011715295;
+ vX_[437] = (0 - vX_[372]) * -0.0055615274403;
+ vX_[432] = (0 - vX_[387]) * 5.399998e-05;
+ vX_[416] = (0 - vX_[369]) * -0.0037997814;
+ vX_[409] = vX_[437] + vX_[432] - vX_[416];
+ vX_[410] = vX_[367] * vX_[174] + vX_[372] * vX_[166] + vX_[374] * vX_[159] + vX_[369] * vX_[172];
+ vX_[409] = vX_[436] * -0.304 + vX_[394] * vX_[98] + vX_[420] * vX_[3] + vX_[446] * vX_[266] + vX_[427] * vX_[255] +
+ vX_[425] * vX_[261] + vX_[409] * vX_[258] + vX_[409] * vX_[258] + vX_[410] * x_in[8];
+ vX_[428] = vX_[458] + vX_[450] + vX_[428] + vX_[411];
+ vX_[428] = vX_[417] * vX_[46] + vX_[429] * vX_[289] + vX_[457] * vX_[32] + vX_[455] * vX_[7] + vX_[431] * vX_[270] +
+ vX_[438] * vX_[277] + vX_[418] * vX_[263] + vX_[454] * vX_[274] + vX_[428] * vX_[268] +
+ vX_[428] * vX_[268];
+ jac[114] = vX_[440] * vX_[287] + vX_[433] * vX_[270] + vX_[415] * vX_[280] + vX_[453] * vX_[263] + vX_[428];
+ vX_[415] = vX_[372] * 0.647967112 + vX_[387] * -0.0037997814 + (0 - vX_[374]) * -0.192033951 +
+ (0 - vX_[369]) * 5.399998e-05;
+ vX_[453] = (0 - vX_[367]) * 0.01438086;
+ vX_[440] = vX_[374] * -0.011715295;
+ vX_[432] = vX_[453] - vX_[432] - vX_[440];
+ vX_[433] = vX_[367] * vX_[150] + vX_[372] * vX_[175] + vX_[374] * vX_[173] + vX_[369] * vX_[159];
+ vX_[432] = vX_[434] * vX_[269] + vX_[441] * vX_[4] + vX_[428] * -1 + vX_[443] * vX_[256] + vX_[415] * vX_[255] +
+ vX_[425] * vX_[258] + vX_[432] * vX_[261] + vX_[432] * vX_[261] - vX_[433] * x_in[8];
+ vX_[428] = (0 - vX_[365]) * 0.046852534 + (0 - vX_[361]) * -0.002752 + vX_[363] * -0.022851627;
+ vX_[425] = vX_[365] * 0.0055279857;
+ vX_[443] = (0 - vX_[363]) * -0.002752;
+ vX_[454] = vX_[425] - vX_[443];
+ vX_[418] = vX_[361] * vX_[198] + vX_[363] * vX_[231] + vX_[365] * -0.022851627 + vX_[361] * 0.0055279857 +
+ vX_[363] * -0.034462002;
+ vX_[454] = vX_[445] * vX_[152] + vX_[448] * vX_[264] + vX_[409] * vX_[1] + vX_[432] * vX_[151] +
+ vX_[428] * vX_[253] + vX_[454] * vX_[250] + vX_[454] * vX_[250] + vX_[418] * x_in[7];
+ vX_[438] = vX_[346] * vX_[215];
+ vX_[431] = vX_[252] * vX_[0];
+ vX_[458] = vX_[331] - vX_[438] - vX_[431];
+ vX_[411] = 0 - vX_[431];
+ vX_[450] = 0 - vX_[458];
+ vX_[446] = vX_[450] * vX_[214];
+ vX_[436] = vX_[458] * vX_[216];
+ vX_[426] = vX_[346] * vX_[0] + vX_[252] * vX_[215];
+ vX_[414] = 0 - (vX_[426] * vX_[214] + vX_[411] * vX_[216]);
+ vX_[412] = vX_[357] * vX_[0];
+ vX_[456] = 0 - vX_[412];
+ vX_[439] = vX_[358] * vX_[0];
+ vX_[430] = vX_[357] * vX_[215];
+ vX_[423] = vX_[284] - vX_[430] - vX_[439];
+ vX_[421] = 0 - vX_[439] + vX_[423];
+ vX_[408] = 0 - vX_[426];
+ vX_[407] = 0 - vX_[431];
+ vX_[396] = sin(x_in[1]);
+ vX_[440] = vX_[453] + vX_[437] + vX_[440] + vX_[416];
+ vX_[440] = vX_[394] * vX_[127] + vX_[420] * vX_[98] + vX_[442] * vX_[256] + vX_[435] * vX_[266] +
+ vX_[427] * vX_[258] + vX_[415] * vX_[261] + vX_[440] * vX_[255] + vX_[440] * vX_[255];
+ jac[102] = vX_[447] * vX_[339] + vX_[444] * vX_[256] + vX_[433] * vX_[336] + vX_[410] * vX_[258] + vX_[440];
+ vX_[365] = (0 - vX_[365]) * -0.002752 + (0 - vX_[361]) * 0.012390532 + (0 - vX_[363]) * 0.0055279857;
+ vX_[433] = vX_[361] * -0.022851627;
+ vX_[425] = 0 - vX_[425] - vX_[433];
+ vX_[410] = vX_[361] * vX_[232] + vX_[363] * vX_[198];
+ vX_[425] = vX_[440] + vX_[365] * x_in[7] + vX_[428] * vX_[250] + vX_[425] * vX_[253] + vX_[425] * vX_[253] -
+ vX_[410] * x_in[7];
+ jac[78] = vX_[454] * vX_[215] + vX_[425] * vX_[0];
+ vX_[440] = 0 - vX_[446];
+ vX_[428] = vX_[438] * vX_[214];
+ vX_[447] = 0 - vX_[436];
+ vX_[444] = vX_[358] * vX_[215];
+ vX_[423] = vX_[430] - vX_[423];
+ vX_[415] = cos(x_in[1]);
+ jac[18] = 0 -
+ (vX_[249] * vX_[254] + vX_[284] * vX_[356] + vX_[357] * vX_[352] + vX_[358] * vX_[272] +
+ vX_[331] * vX_[244] + vX_[346] * vX_[243] + vX_[252] * vX_[228] + vX_[454] * x_in[6] +
+ (vX_[458] * vX_[241] + vX_[411] * vX_[224] + vX_[446] * vX_[240] + vX_[436] * vX_[222] +
+ vX_[414] * vX_[223] + vX_[456] * vX_[271] + vX_[421] * vX_[353] + vX_[408] * vX_[227] +
+ vX_[407] * vX_[195]) *
+ -1 * 0.178) *
+ vX_[396] +
+ (vX_[248] * vX_[257] + vX_[284] * vX_[260] + vX_[357] * vX_[273] + vX_[358] * vX_[354] +
+ vX_[331] * vX_[247] + vX_[346] * vX_[228] + vX_[252] * vX_[246] + vX_[425] * x_in[6] -
+ (vX_[426] * vX_[224] + vX_[450] * vX_[184] + vX_[438] * vX_[233] + vX_[440] * vX_[235] +
+ vX_[428] * vX_[223] + vX_[447] * vX_[240] + vX_[444] * vX_[353] + vX_[423] * vX_[271] +
+ vX_[426] * vX_[213] + vX_[438] * vX_[229]) *
+ 0.178) *
+ vX_[415];
+ vX_[425] = 1 / vX_[196];
+ vX_[450] = 0 - vX_[425];
+ vX_[411] = 0 - vX_[425];
+ vX_[458] = vX_[411] * vX_[194];
+ vX_[454] = (0 - vX_[425]) * -0.022851627;
+ vX_[248] = (vX_[458] * vX_[215] + vX_[454] * vX_[0]) * 1 / vX_[242];
+ vX_[252] = 0 - vX_[248];
+ vX_[346] = (0 - vX_[248]) * 9.81;
+ vX_[331] = vX_[346] * vX_[215];
+ vX_[358] = vX_[346] * vX_[0];
+ vX_[357] = 0 - vX_[248] * vX_[355];
+ vX_[284] = vX_[357] * vX_[215];
+ vX_[249] = vX_[357] * vX_[0];
+ vX_[427] = vX_[252] * vX_[215];
+ vX_[435] = vX_[427] * 1 / vX_[196];
+ vX_[248] = 0 - vX_[248];
+ vX_[442] = vX_[248] * vX_[0];
+ vX_[453] = vX_[442] * 1 / vX_[196];
+ vX_[416] = vX_[425] + vX_[435] * vX_[194] + vX_[453] * -0.022851627;
+ vX_[437] = 0 - vX_[416];
+ vX_[451] = vX_[437] * vX_[153] + vX_[427] * vX_[152];
+ vX_[449] = 0 - vX_[416];
+ vX_[397] = vX_[449] * vX_[2] + vX_[427] * vX_[151];
+ vX_[395] = vX_[451] * vX_[3] + vX_[397] * vX_[4];
+ vX_[413] = 0 - vX_[416];
+ vX_[459] = vX_[413] * vX_[265] + vX_[427] * vX_[264];
+ vX_[460] = 0 - vX_[416];
+ vX_[461] = vX_[460] * vX_[151] + vX_[427] * vX_[1];
+ vX_[462] = vX_[459] * -1 + vX_[461] * -0.304;
+ vX_[463] = vX_[451] * vX_[98] + vX_[397] * vX_[269];
+ vX_[464] = vX_[397] * -1;
+ vX_[465] = vX_[462] * 1 / vX_[83];
+ vX_[466] = vX_[463] * 1 / vX_[83];
+ vX_[467] = vX_[395] * 1 / vX_[83];
+ vX_[468] = vX_[464] * 1 / vX_[83];
+ vX_[469] = vX_[451] * 1 / vX_[148];
+ vX_[470] = vX_[459] * 1 / vX_[148];
+ vX_[471] = vX_[442] * 1 / vX_[148];
+ vX_[472] = vX_[461] * 1 / vX_[148];
+ vX_[473] = vX_[397] * 1 / vX_[148];
+ vX_[474] = vX_[442] - (vX_[469] * vX_[146] + vX_[470] * vX_[164] + vX_[471] * vX_[148] + vX_[472] * vX_[143] +
+ vX_[473] * vX_[157]);
+ vX_[475] = vX_[474] * vX_[127] + vX_[461] * vX_[98];
+ vX_[476] = vX_[475] * 1 / vX_[83];
+ vX_[477] = vX_[474] * vX_[98] + vX_[461] * vX_[3];
+ vX_[478] = vX_[477] * 1 / vX_[83];
+ vX_[464] = vX_[464] - (vX_[465] * vX_[69] + vX_[466] * vX_[68] + vX_[467] * vX_[107] + vX_[468] * vX_[83] +
+ vX_[476] * vX_[101] + vX_[478] * -0.00021200017);
+ vX_[479] = vX_[462] * vX_[291] + vX_[463] * vX_[32] + vX_[464] * vX_[289] + vX_[475] * vX_[290];
+ vX_[480] = vX_[464] * vX_[32] + vX_[475] * vX_[6];
+ vX_[481] = vX_[395] * vX_[8] + vX_[479] * vX_[9] + vX_[480] * vX_[17];
+ vX_[482] = vX_[481] * 1.547475;
+ vX_[483] = vX_[395] * vX_[294] + vX_[479] * vX_[8] + vX_[480] * vX_[303];
+ vX_[484] = vX_[483] * -1.547475;
+ vX_[485] = vX_[395] * 1 / vX_[29];
+ vX_[486] = vX_[462] * vX_[32] + vX_[463] * vX_[6] + vX_[464] * vX_[46] + vX_[475] * vX_[45];
+ vX_[487] = vX_[486] * 1 / vX_[29];
+ vX_[488] = vX_[479] * 1 / vX_[29];
+ vX_[489] = vX_[477] * 1 / vX_[29];
+ vX_[490] = vX_[480] * 1 / vX_[29];
+ vX_[491] = vX_[464] * vX_[7] + vX_[475] * vX_[32];
+ vX_[492] = vX_[491] * 1 / vX_[29];
+ vX_[493] = vX_[477] - (vX_[485] * vX_[36] + vX_[487] * vX_[19] + vX_[488] * vX_[12] + vX_[489] * vX_[29] +
+ vX_[490] * vX_[56] + vX_[492] * vX_[50]);
+ vX_[494] = vX_[493] * vX_[10] + vX_[491] * vX_[8];
+ vX_[495] = vX_[493] * vX_[8] + vX_[491] * vX_[9];
+ vX_[496] = vX_[480] - (vX_[483] * 107.793467715856 * 0.038686875 + vX_[480] * 107.793467715856 * 0.009277 +
+ vX_[494] * 107.793467715856 * -0.000829 + vX_[495] * 107.793467715856 * 1.5e-05);
+ vX_[497] = vX_[496] * 0.038686875;
+ vX_[498] = vX_[484] - vX_[497];
+ vX_[499] = vX_[482] * vX_[286] + vX_[498] * vX_[285];
+ vX_[500] = vX_[479] * 2.1032 + vX_[480] * 0.057838;
+ vX_[501] = 0 - vX_[500];
+ vX_[502] = vX_[395] * 2.1032;
+ vX_[503] = vX_[395] * vX_[88] + vX_[486] * vX_[31] + vX_[479] * vX_[35] + vX_[480] * vX_[49] + vX_[491] * vX_[62];
+ vX_[504] = vX_[499] + vX_[501] * vX_[278] + vX_[502] * vX_[283] + vX_[503] * x_in[10];
+ vX_[505] = 0 - vX_[482];
+ vX_[506] = vX_[486] + vX_[493] * 0.02075 + vX_[491] * -0.184;
+ vX_[507] = vX_[506] * 1.547475 + (0 - vX_[494]) * 0.038686875;
+ vX_[508] = vX_[481] * 1.547475;
+ vX_[509] = vX_[505] * vX_[288] + vX_[507] * vX_[285] + vX_[508] * x_in[11];
+ vX_[497] = 0 - vX_[484] + vX_[497];
+ vX_[484] = 0 - vX_[507];
+ vX_[510] = vX_[483] * 1.38614328745655 + vX_[494] * 0.00345708950900075 + vX_[495] * -6.25528861700981e-05;
+ vX_[511] = vX_[497] * vX_[288] + vX_[484] * vX_[286] - vX_[510] * x_in[11];
+ vX_[512] = vX_[486] * -2.1032 + vX_[491] * 0.057838;
+ vX_[513] = 0 - vX_[512];
+ vX_[514] = 0 - vX_[502];
+ vX_[515] = vX_[395] * vX_[90] + vX_[486] * vX_[33] + vX_[479] * vX_[31] + vX_[480] * vX_[57] + vX_[491] * vX_[51];
+ vX_[516] = vX_[509] * vX_[8] + vX_[511] * vX_[9] + vX_[513] * vX_[278] + vX_[514] * vX_[276] - vX_[515] * x_in[10];
+ vX_[517] = vX_[395] * 1.7423722 + (0 - vX_[464]) * -0.008711861 + vX_[475] * 1.52322944854339e-09;
+ vX_[518] = 0 - vX_[517];
+ vX_[519] = vX_[462] * 1.7423722 + (0 - vX_[475]) * 0.160298259823722 + vX_[477] * -0.008711861;
+ vX_[520] =
+ vX_[462] * vX_[108] + vX_[463] * vX_[135] + vX_[395] * vX_[121] + vX_[475] * vX_[95] + vX_[477] * vX_[114];
+ vX_[521] = vX_[504] * vX_[6] + vX_[516] * vX_[32] + vX_[518] * vX_[268] + vX_[519] * vX_[274] + vX_[520] * x_in[9];
+ vX_[522] = vX_[463] * -1.7423722;
+ vX_[523] = vX_[464] * 0.160298259823722;
+ vX_[524] = vX_[477] * 1.52322944854339e-09;
+ vX_[525] = 0 - vX_[522] + vX_[523] - vX_[524];
+ vX_[526] = 0 - vX_[519];
+ vX_[527] =
+ vX_[462] * vX_[85] + vX_[463] * vX_[134] + vX_[395] * vX_[135] + vX_[475] * vX_[102] + vX_[477] * vX_[93];
+ vX_[528] = vX_[509] * vX_[294] + vX_[511] * vX_[8] + vX_[500] * vX_[276] + vX_[512] * vX_[283] +
+ vX_[525] * vX_[268] + vX_[526] * vX_[263] - vX_[527] * x_in[9];
+ vX_[529] = 0 - (vX_[459] * 2.327 + (0 - vX_[474]) * 0.01438086 + vX_[461] * 0.647967112);
+ vX_[530] = (0 - vX_[461]) * -0.0055615274403 + vX_[397] * 0.01438086;
+ vX_[531] = vX_[451] * vX_[168] + vX_[459] * vX_[185] + vX_[461] * vX_[175] + vX_[397] * vX_[166];
+ vX_[532] = vX_[521] * vX_[98] + vX_[528] * vX_[3] + vX_[529] * vX_[255] + vX_[530] * vX_[261] + vX_[531] * x_in[8];
+ vX_[524] = vX_[522] - vX_[523] + vX_[524];
+ vX_[523] = vX_[504] * vX_[32] + vX_[516] * vX_[291] + vX_[517] * vX_[263] + vX_[524] * vX_[274];
+ vX_[522] = vX_[474] * -0.0055615274403 - (vX_[451] * -2.327 + vX_[397] * 0.647967112);
+ vX_[533] = 0 - vX_[530];
+ vX_[534] = vX_[451] * vX_[182] + vX_[459] * vX_[168] + vX_[461] * vX_[150] + vX_[397] * vX_[174];
+ vX_[535] = vX_[523] * -1 + vX_[522] * vX_[255] + vX_[533] * vX_[258] - vX_[534] * x_in[8];
+ vX_[536] = (0 - vX_[496]) * 1.5e-05 + vX_[494] * 0.000198 + vX_[495] * 0.00605;
+ vX_[537] = vX_[506] * 0.038686875 + vX_[496] * -0.000829 + (0 - vX_[494]) * -0.00146 + (0 - vX_[495]) * 0.000198;
+ vX_[481] = (0 - vX_[481]) * 0.038686875;
+ vX_[538] = vX_[494] * 1.5e-05;
+ vX_[539] = (0 - vX_[495]) * -0.000829;
+ vX_[540] = vX_[481] + vX_[538] + vX_[539];
+ vX_[540] = vX_[505] * vX_[309] + vX_[497] * vX_[293] + vX_[536] * vX_[286] + vX_[537] * vX_[285] +
+ vX_[540] * vX_[288] + vX_[540] * vX_[288];
+ vX_[497] = vX_[486] * 0.057838 + (0 - vX_[493]) * -0.012652 + vX_[480] * -0.001387 + vX_[491] * -0.018069;
+ vX_[505] = vX_[493] * 0.009683 + (0 - vX_[480]) * -0.001243 + vX_[491] * -0.012652;
+ vX_[541] = (0 - vX_[395]) * 0.057838;
+ vX_[542] = (0 - vX_[493]) * -0.001387;
+ vX_[543] = (0 - vX_[491]) * -0.001243;
+ vX_[544] = vX_[541] + vX_[542] - vX_[543];
+ vX_[545] = vX_[395] * vX_[91] + vX_[486] * vX_[51] + vX_[479] * vX_[62] + vX_[480] * vX_[75] + vX_[491] * vX_[28];
+ vX_[544] = vX_[540] + vX_[509] * vX_[303] + vX_[511] * vX_[17] + vX_[500] * vX_[277] + vX_[514] * vX_[292] +
+ vX_[497] * vX_[278] + vX_[505] * vX_[283] + vX_[544] * vX_[276] + vX_[544] * vX_[276] +
+ vX_[545] * x_in[10];
+ vX_[514] = vX_[483] * 0.038686875 + vX_[496] * -0.00751 + (0 - vX_[494]) * -0.000829 + vX_[495] * 1.5e-05;
+ vX_[496] = (0 - vX_[496]) * 0.000198;
+ vX_[539] = vX_[481] + vX_[496] - vX_[539];
+ vX_[481] = vX_[483] * -6.25528861700981e-05 + vX_[494] * 0.000199340411771047 + vX_[495] * 0.0107369757464698;
+ vX_[539] = vX_[482] * vX_[295] + vX_[484] * vX_[293] + vX_[536] * vX_[288] + vX_[514] * vX_[285] +
+ vX_[539] * vX_[286] + vX_[539] * vX_[286] + vX_[481] * x_in[11];
+ vX_[496] = 0 - vX_[496] - vX_[538];
+ vX_[506] = vX_[506] * -0.038686875 + vX_[483] * 0.00345708950900075 + vX_[494] * 0.00315291990945349 +
+ vX_[495] * 0.000199340411771047;
+ jac[139] = vX_[510] * vX_[307] + vX_[508] * vX_[309] + vX_[506] * vX_[304] + vX_[481] * vX_[286] + vX_[540];
+ vX_[506] = vX_[498] * vX_[295] + vX_[507] * vX_[309] + vX_[537] * vX_[288] + vX_[514] * vX_[286] +
+ vX_[496] * vX_[285] + vX_[496] * vX_[285] - vX_[506] * x_in[11];
+ vX_[496] = vX_[479] * 0.057838 + vX_[493] * -0.001243 + (0 - vX_[480]) * -0.008386 + (0 - vX_[491]) * -0.001387;
+ vX_[514] = vX_[480] * -0.012652;
+ vX_[542] = vX_[541] - vX_[542] - vX_[514];
+ vX_[541] = vX_[395] * vX_[87] + vX_[486] * vX_[57] + vX_[479] * vX_[49] + vX_[480] * vX_[22] + vX_[491] * vX_[75];
+ vX_[542] = vX_[499] * -0.184 + vX_[539] * vX_[8] + vX_[506] * vX_[9] + vX_[512] * vX_[277] + vX_[502] * vX_[279] +
+ vX_[496] * vX_[278] + vX_[505] * vX_[276] + vX_[542] * vX_[283] + vX_[542] * vX_[283] -
+ vX_[541] * x_in[10];
+ vX_[505] = vX_[462] * -0.008711861 + vX_[463] * 1.52322944854339e-09 + (0 - vX_[464]) * -0.00021200017 +
+ vX_[475] * 0.0036857284 + vX_[477] * 0.077424;
+ vX_[512] = vX_[463] * 0.160298259823722 + vX_[395] * -0.008711861 + vX_[464] * -0.06337651 +
+ (0 - vX_[475]) * -0.0022920002 + vX_[477] * -0.00021200017;
+ vX_[502] = (0 - vX_[462]) * 1.52322944854339e-09;
+ vX_[537] = (0 - vX_[395]) * 0.160298259823722;
+ vX_[507] = (0 - vX_[464]) * 0.0036857284;
+ vX_[498] = (0 - vX_[477]) * -0.0022920002;
+ vX_[481] = vX_[502] + vX_[537] + vX_[507] - vX_[498];
+ vX_[540] =
+ vX_[462] * vX_[106] + vX_[463] * vX_[93] + vX_[395] * vX_[114] + vX_[475] * vX_[120] + vX_[477] * vX_[130];
+ vX_[481] = vX_[504] * vX_[45] + vX_[516] * vX_[290] + vX_[544] * vX_[6] + vX_[542] * vX_[32] + vX_[517] * vX_[267] +
+ vX_[526] * vX_[277] + vX_[505] * vX_[268] + vX_[512] * vX_[274] + vX_[481] * vX_[263] +
+ vX_[481] * vX_[263] + vX_[540] * x_in[9];
+ vX_[514] = vX_[514] + vX_[543];
+ vX_[514] = vX_[499] * 0.02075 + vX_[539] * vX_[10] + vX_[506] * vX_[8] + vX_[501] * vX_[279] + vX_[513] * vX_[292] +
+ vX_[497] * vX_[276] + vX_[496] * vX_[283] + vX_[514] * vX_[278] + vX_[514] * vX_[278];
+ jac[127] = vX_[515] * vX_[315] + vX_[503] * vX_[279] + vX_[541] * vX_[312] + vX_[545] * vX_[276] + vX_[514];
+ vX_[541] = vX_[462] * 0.160298259823722 + vX_[395] * 1.52322944854339e-09 + vX_[464] * -0.0022920002 +
+ (0 - vX_[475]) * 0.01404749 + (0 - vX_[477]) * 0.0036857284;
+ vX_[545] = (0 - vX_[463]) * -0.008711861;
+ vX_[515] = vX_[475] * -0.00021200017;
+ vX_[507] = vX_[502] + vX_[545] - vX_[507] - vX_[515];
+ vX_[502] =
+ vX_[462] * vX_[124] + vX_[463] * vX_[102] + vX_[395] * vX_[95] + vX_[475] * vX_[131] + vX_[477] * vX_[120];
+ vX_[507] = vX_[514] + vX_[524] * vX_[267] + vX_[519] * vX_[270] + vX_[541] * vX_[268] + vX_[512] * vX_[263] +
+ vX_[507] * vX_[274] + vX_[507] * vX_[274] - vX_[502] * x_in[9];
+ vX_[514] =
+ vX_[451] * 0.647967112 + (0 - vX_[474]) * -0.011715295 + vX_[461] * 5.399998e-05 + vX_[397] * -0.199538951;
+ vX_[512] = vX_[451] * -0.0055615274403 + vX_[459] * 0.01438086 + vX_[474] * 0.00750500000000001 +
+ (0 - vX_[461]) * -0.0037997814 + vX_[397] * -0.011715295;
+ vX_[524] = (0 - vX_[459]) * -0.0055615274403;
+ vX_[519] = (0 - vX_[474]) * 5.399998e-05;
+ vX_[503] = (0 - vX_[397]) * -0.0037997814;
+ vX_[496] = vX_[524] + vX_[519] - vX_[503];
+ vX_[497] = vX_[451] * vX_[174] + vX_[459] * vX_[166] + vX_[461] * vX_[159] + vX_[397] * vX_[172];
+ vX_[496] = vX_[523] * -0.304 + vX_[481] * vX_[98] + vX_[507] * vX_[3] + vX_[533] * vX_[266] + vX_[514] * vX_[255] +
+ vX_[512] * vX_[261] + vX_[496] * vX_[258] + vX_[496] * vX_[258] + vX_[497] * x_in[8];
+ vX_[515] = vX_[545] + vX_[537] + vX_[515] + vX_[498];
+ vX_[515] = vX_[504] * vX_[46] + vX_[516] * vX_[289] + vX_[544] * vX_[32] + vX_[542] * vX_[7] + vX_[518] * vX_[270] +
+ vX_[525] * vX_[277] + vX_[505] * vX_[263] + vX_[541] * vX_[274] + vX_[515] * vX_[268] +
+ vX_[515] * vX_[268];
+ jac[115] = vX_[527] * vX_[287] + vX_[520] * vX_[270] + vX_[502] * vX_[280] + vX_[540] * vX_[263] + vX_[515];
+ vX_[502] = vX_[459] * 0.647967112 + vX_[474] * -0.0037997814 + (0 - vX_[461]) * -0.192033951 +
+ (0 - vX_[397]) * 5.399998e-05;
+ vX_[540] = (0 - vX_[451]) * 0.01438086;
+ vX_[527] = vX_[461] * -0.011715295;
+ vX_[519] = vX_[540] - vX_[519] - vX_[527];
+ vX_[520] = vX_[451] * vX_[150] + vX_[459] * vX_[175] + vX_[461] * vX_[173] + vX_[397] * vX_[159];
+ vX_[519] = vX_[521] * vX_[269] + vX_[528] * vX_[4] + vX_[515] * -1 + vX_[530] * vX_[256] + vX_[502] * vX_[255] +
+ vX_[512] * vX_[258] + vX_[519] * vX_[261] + vX_[519] * vX_[261] - vX_[520] * x_in[8];
+ vX_[515] = (0 - vX_[416]) * 0.046852534 + (0 - vX_[427]) * -0.002752 + vX_[442] * -0.022851627;
+ vX_[512] = vX_[416] * 0.0055279857;
+ vX_[530] = (0 - vX_[442]) * -0.002752;
+ vX_[541] = vX_[512] - vX_[530];
+ vX_[505] = vX_[454] + vX_[427] * vX_[198] + vX_[442] * vX_[231] + vX_[416] * -0.022851627 +
+ vX_[427] * 0.0055279857 + vX_[442] * -0.034462002;
+ vX_[541] = vX_[532] * vX_[152] + vX_[535] * vX_[264] + vX_[496] * vX_[1] + vX_[519] * vX_[151] +
+ vX_[515] * vX_[253] + vX_[541] * vX_[250] + vX_[541] * vX_[250] + vX_[505] * x_in[7];
+ vX_[525] = vX_[284] * vX_[215];
+ vX_[518] = vX_[249] * vX_[0];
+ vX_[545] = vX_[357] - vX_[525] - vX_[518];
+ vX_[498] = 0 - vX_[518];
+ vX_[537] = 0 - vX_[545];
+ vX_[533] = vX_[537] * vX_[214];
+ vX_[523] = vX_[545] * vX_[216];
+ vX_[513] = vX_[284] * vX_[0] + vX_[249] * vX_[215];
+ vX_[501] = 0 - (vX_[513] * vX_[214] + vX_[498] * vX_[216]);
+ vX_[499] = vX_[331] * vX_[0];
+ vX_[543] = 0 - vX_[499];
+ vX_[526] = vX_[358] * vX_[0];
+ vX_[517] = vX_[331] * vX_[215];
+ vX_[510] = vX_[346] - vX_[517] - vX_[526];
+ vX_[508] = 0 - vX_[526] + vX_[510];
+ vX_[495] = 0 - vX_[513];
+ vX_[494] = 0 - vX_[518];
+ vX_[483] = 0 - vX_[425];
+ vX_[527] = vX_[540] + vX_[524] + vX_[527] + vX_[503];
+ vX_[527] = vX_[481] * vX_[127] + vX_[507] * vX_[98] + vX_[529] * vX_[256] + vX_[522] * vX_[266] +
+ vX_[514] * vX_[258] + vX_[502] * vX_[261] + vX_[527] * vX_[255] + vX_[527] * vX_[255];
+ jac[103] = vX_[534] * vX_[339] + vX_[531] * vX_[256] + vX_[520] * vX_[336] + vX_[497] * vX_[258] + vX_[527];
+ vX_[416] = (0 - vX_[416]) * -0.002752 + (0 - vX_[427]) * 0.012390532 + (0 - vX_[442]) * 0.0055279857;
+ vX_[520] = vX_[427] * -0.022851627;
+ vX_[512] = 0 - vX_[512] - vX_[520];
+ vX_[497] = vX_[458] + vX_[427] * vX_[232] + vX_[442] * vX_[198];
+ vX_[512] = vX_[527] + vX_[416] * x_in[7] + vX_[515] * vX_[250] + vX_[512] * vX_[253] + vX_[512] * vX_[253] -
+ vX_[497] * x_in[7];
+ jac[79] = vX_[541] * vX_[215] + vX_[512] * vX_[0];
+ vX_[527] = 0 - vX_[533];
+ vX_[515] = vX_[525] * vX_[214];
+ vX_[534] = 0 - vX_[523];
+ vX_[531] = vX_[358] * vX_[215];
+ vX_[510] = vX_[517] - vX_[510];
+ jac[19] = 0 -
+ (vX_[450] * vX_[238] * 9.81 + vX_[458] * vX_[355] + vX_[252] * vX_[254] + vX_[346] * vX_[356] +
+ vX_[331] * vX_[352] + vX_[358] * vX_[272] + vX_[357] * vX_[244] + vX_[284] * vX_[243] +
+ vX_[249] * vX_[228] + vX_[541] * x_in[6] +
+ (vX_[545] * vX_[241] + vX_[498] * vX_[224] + vX_[533] * vX_[240] + vX_[523] * vX_[222] +
+ vX_[501] * vX_[223] + vX_[543] * vX_[271] + vX_[508] * vX_[353] + vX_[495] * vX_[227] +
+ vX_[494] * vX_[195]) *
+ -1 * 0.178) *
+ vX_[396] +
+ (vX_[483] * vX_[204] * 9.81 + vX_[454] * vX_[355] + vX_[248] * vX_[257] + vX_[346] * vX_[260] +
+ vX_[331] * vX_[273] + vX_[358] * vX_[354] + vX_[357] * vX_[247] + vX_[284] * vX_[228] +
+ vX_[249] * vX_[246] + vX_[512] * x_in[6] -
+ (vX_[513] * vX_[224] + vX_[537] * vX_[184] + vX_[525] * vX_[233] + vX_[527] * vX_[235] +
+ vX_[515] * vX_[223] + vX_[534] * vX_[240] + vX_[531] * vX_[353] + vX_[510] * vX_[271] +
+ vX_[513] * vX_[213] + vX_[525] * vX_[229]) *
+ 0.178) *
+ vX_[415];
+ vX_[512] = 1 / vX_[148];
+ vX_[537] = 0 - vX_[512];
+ vX_[498] = vX_[537] * vX_[146];
+ vX_[545] = 0 - vX_[512];
+ vX_[541] = vX_[545] * vX_[164];
+ vX_[248] = 0 - vX_[512];
+ vX_[249] = vX_[248] * vX_[143];
+ vX_[284] = 0 - vX_[512];
+ vX_[357] = vX_[284] * vX_[157];
+ vX_[358] = (vX_[498] * vX_[153] + vX_[541] * vX_[265] + vX_[249] * vX_[151] + vX_[357] * vX_[2]) * 1 / vX_[196];
+ vX_[331] = 0 - vX_[358];
+ vX_[346] = 0 - vX_[358];
+ vX_[252] =
+ vX_[498] * vX_[152] + vX_[541] * vX_[264] + vX_[249] * vX_[1] + vX_[357] * vX_[151] + vX_[346] * vX_[194];
+ vX_[454] = 0 - vX_[512];
+ vX_[458] = vX_[454] * vX_[148] + (0 - vX_[358]) * -0.022851627;
+ vX_[502] = (vX_[252] * vX_[215] + vX_[458] * vX_[0]) * 1 / vX_[242];
+ vX_[514] = 0 - vX_[502];
+ vX_[522] = (0 - vX_[502]) * 9.81;
+ vX_[529] = vX_[522] * vX_[215];
+ vX_[540] = vX_[522] * vX_[0];
+ vX_[503] = 0 - vX_[502] * vX_[355];
+ vX_[524] = vX_[503] * vX_[215];
+ vX_[538] = vX_[503] * vX_[0];
+ vX_[536] = vX_[514] * vX_[215];
+ vX_[484] = vX_[536] * 1 / vX_[196];
+ vX_[502] = 0 - vX_[502];
+ vX_[482] = vX_[502] * vX_[0];
+ vX_[500] = vX_[482] * 1 / vX_[196];
+ vX_[546] = vX_[358] + vX_[484] * vX_[194] + vX_[500] * -0.022851627;
+ vX_[547] = 0 - vX_[546];
+ vX_[548] = vX_[547] * vX_[153] + vX_[536] * vX_[152];
+ vX_[549] = 0 - vX_[546];
+ vX_[550] = vX_[549] * vX_[2] + vX_[536] * vX_[151];
+ vX_[551] = vX_[548] * vX_[3] + vX_[550] * vX_[4];
+ vX_[552] = 0 - vX_[546];
+ vX_[553] = vX_[552] * vX_[265] + vX_[536] * vX_[264];
+ vX_[554] = 0 - vX_[546];
+ vX_[555] = vX_[554] * vX_[151] + vX_[536] * vX_[1];
+ vX_[556] = vX_[553] * -1 + vX_[555] * -0.304;
+ vX_[557] = vX_[548] * vX_[98] + vX_[550] * vX_[269];
+ vX_[558] = vX_[550] * -1;
+ vX_[559] = vX_[556] * 1 / vX_[83];
+ vX_[560] = vX_[557] * 1 / vX_[83];
+ vX_[561] = vX_[551] * 1 / vX_[83];
+ vX_[562] = vX_[558] * 1 / vX_[83];
+ vX_[563] = vX_[548] * 1 / vX_[148];
+ vX_[564] = vX_[553] * 1 / vX_[148];
+ vX_[565] = vX_[482] * 1 / vX_[148];
+ vX_[566] = vX_[555] * 1 / vX_[148];
+ vX_[567] = vX_[550] * 1 / vX_[148];
+ vX_[568] = vX_[482] - (vX_[512] + vX_[563] * vX_[146] + vX_[564] * vX_[164] + vX_[565] * vX_[148] +
+ vX_[566] * vX_[143] + vX_[567] * vX_[157]);
+ vX_[569] = vX_[568] * vX_[127] + vX_[555] * vX_[98];
+ vX_[570] = vX_[569] * 1 / vX_[83];
+ vX_[571] = vX_[568] * vX_[98] + vX_[555] * vX_[3];
+ vX_[572] = vX_[571] * 1 / vX_[83];
+ vX_[558] = vX_[558] - (vX_[559] * vX_[69] + vX_[560] * vX_[68] + vX_[561] * vX_[107] + vX_[562] * vX_[83] +
+ vX_[570] * vX_[101] + vX_[572] * -0.00021200017);
+ vX_[573] = vX_[556] * vX_[291] + vX_[557] * vX_[32] + vX_[558] * vX_[289] + vX_[569] * vX_[290];
+ vX_[574] = vX_[558] * vX_[32] + vX_[569] * vX_[6];
+ vX_[575] = vX_[551] * vX_[8] + vX_[573] * vX_[9] + vX_[574] * vX_[17];
+ vX_[576] = vX_[575] * 1.547475;
+ vX_[577] = vX_[551] * vX_[294] + vX_[573] * vX_[8] + vX_[574] * vX_[303];
+ vX_[578] = vX_[577] * -1.547475;
+ vX_[579] = vX_[551] * 1 / vX_[29];
+ vX_[580] = vX_[556] * vX_[32] + vX_[557] * vX_[6] + vX_[558] * vX_[46] + vX_[569] * vX_[45];
+ vX_[581] = vX_[580] * 1 / vX_[29];
+ vX_[582] = vX_[573] * 1 / vX_[29];
+ vX_[583] = vX_[571] * 1 / vX_[29];
+ vX_[584] = vX_[574] * 1 / vX_[29];
+ vX_[585] = vX_[558] * vX_[7] + vX_[569] * vX_[32];
+ vX_[586] = vX_[585] * 1 / vX_[29];
+ vX_[587] = vX_[571] - (vX_[579] * vX_[36] + vX_[581] * vX_[19] + vX_[582] * vX_[12] + vX_[583] * vX_[29] +
+ vX_[584] * vX_[56] + vX_[586] * vX_[50]);
+ vX_[588] = vX_[587] * vX_[10] + vX_[585] * vX_[8];
+ vX_[589] = vX_[587] * vX_[8] + vX_[585] * vX_[9];
+ vX_[590] = vX_[574] - (vX_[577] * 107.793467715856 * 0.038686875 + vX_[574] * 107.793467715856 * 0.009277 +
+ vX_[588] * 107.793467715856 * -0.000829 + vX_[589] * 107.793467715856 * 1.5e-05);
+ vX_[591] = vX_[590] * 0.038686875;
+ vX_[592] = vX_[578] - vX_[591];
+ vX_[593] = vX_[576] * vX_[286] + vX_[592] * vX_[285];
+ vX_[594] = vX_[573] * 2.1032 + vX_[574] * 0.057838;
+ vX_[595] = 0 - vX_[594];
+ vX_[596] = vX_[551] * 2.1032;
+ vX_[597] = vX_[551] * vX_[88] + vX_[580] * vX_[31] + vX_[573] * vX_[35] + vX_[574] * vX_[49] + vX_[585] * vX_[62];
+ vX_[598] = vX_[593] + vX_[595] * vX_[278] + vX_[596] * vX_[283] + vX_[597] * x_in[10];
+ vX_[599] = 0 - vX_[576];
+ vX_[600] = vX_[580] + vX_[587] * 0.02075 + vX_[585] * -0.184;
+ vX_[601] = vX_[600] * 1.547475 + (0 - vX_[588]) * 0.038686875;
+ vX_[602] = vX_[575] * 1.547475;
+ vX_[603] = vX_[599] * vX_[288] + vX_[601] * vX_[285] + vX_[602] * x_in[11];
+ vX_[591] = 0 - vX_[578] + vX_[591];
+ vX_[578] = 0 - vX_[601];
+ vX_[604] = vX_[577] * 1.38614328745655 + vX_[588] * 0.00345708950900075 + vX_[589] * -6.25528861700981e-05;
+ vX_[605] = vX_[591] * vX_[288] + vX_[578] * vX_[286] - vX_[604] * x_in[11];
+ vX_[606] = vX_[580] * -2.1032 + vX_[585] * 0.057838;
+ vX_[607] = 0 - vX_[606];
+ vX_[608] = 0 - vX_[596];
+ vX_[609] = vX_[551] * vX_[90] + vX_[580] * vX_[33] + vX_[573] * vX_[31] + vX_[574] * vX_[57] + vX_[585] * vX_[51];
+ vX_[610] = vX_[603] * vX_[8] + vX_[605] * vX_[9] + vX_[607] * vX_[278] + vX_[608] * vX_[276] - vX_[609] * x_in[10];
+ vX_[611] = vX_[551] * 1.7423722 + (0 - vX_[558]) * -0.008711861 + vX_[569] * 1.52322944854339e-09;
+ vX_[612] = 0 - vX_[611];
+ vX_[613] = vX_[556] * 1.7423722 + (0 - vX_[569]) * 0.160298259823722 + vX_[571] * -0.008711861;
+ vX_[614] =
+ vX_[556] * vX_[108] + vX_[557] * vX_[135] + vX_[551] * vX_[121] + vX_[569] * vX_[95] + vX_[571] * vX_[114];
+ vX_[615] = vX_[598] * vX_[6] + vX_[610] * vX_[32] + vX_[612] * vX_[268] + vX_[613] * vX_[274] + vX_[614] * x_in[9];
+ vX_[616] = vX_[557] * -1.7423722;
+ vX_[617] = vX_[558] * 0.160298259823722;
+ vX_[618] = vX_[571] * 1.52322944854339e-09;
+ vX_[619] = 0 - vX_[616] + vX_[617] - vX_[618];
+ vX_[620] = 0 - vX_[613];
+ vX_[621] =
+ vX_[556] * vX_[85] + vX_[557] * vX_[134] + vX_[551] * vX_[135] + vX_[569] * vX_[102] + vX_[571] * vX_[93];
+ vX_[622] = vX_[603] * vX_[294] + vX_[605] * vX_[8] + vX_[594] * vX_[276] + vX_[606] * vX_[283] +
+ vX_[619] * vX_[268] + vX_[620] * vX_[263] - vX_[621] * x_in[9];
+ vX_[623] = 0 - (vX_[553] * 2.327 + (0 - vX_[568]) * 0.01438086 + vX_[555] * 0.647967112);
+ vX_[624] = (0 - vX_[555]) * -0.0055615274403 + vX_[550] * 0.01438086;
+ vX_[625] = vX_[541] + vX_[548] * vX_[168] + vX_[553] * vX_[185] + vX_[555] * vX_[175] + vX_[550] * vX_[166];
+ vX_[626] = vX_[615] * vX_[98] + vX_[622] * vX_[3] + vX_[623] * vX_[255] + vX_[624] * vX_[261] + vX_[625] * x_in[8];
+ vX_[618] = vX_[616] - vX_[617] + vX_[618];
+ vX_[617] = vX_[598] * vX_[32] + vX_[610] * vX_[291] + vX_[611] * vX_[263] + vX_[618] * vX_[274];
+ vX_[616] = vX_[568] * -0.0055615274403 - (vX_[548] * -2.327 + vX_[550] * 0.647967112);
+ vX_[627] = 0 - vX_[624];
+ vX_[628] = vX_[498] + vX_[548] * vX_[182] + vX_[553] * vX_[168] + vX_[555] * vX_[150] + vX_[550] * vX_[174];
+ vX_[629] = vX_[617] * -1 + vX_[616] * vX_[255] + vX_[627] * vX_[258] - vX_[628] * x_in[8];
+ vX_[630] = (0 - vX_[590]) * 1.5e-05 + vX_[588] * 0.000198 + vX_[589] * 0.00605;
+ vX_[631] = vX_[600] * 0.038686875 + vX_[590] * -0.000829 + (0 - vX_[588]) * -0.00146 + (0 - vX_[589]) * 0.000198;
+ vX_[575] = (0 - vX_[575]) * 0.038686875;
+ vX_[632] = vX_[588] * 1.5e-05;
+ vX_[633] = (0 - vX_[589]) * -0.000829;
+ vX_[634] = vX_[575] + vX_[632] + vX_[633];
+ vX_[634] = vX_[599] * vX_[309] + vX_[591] * vX_[293] + vX_[630] * vX_[286] + vX_[631] * vX_[285] +
+ vX_[634] * vX_[288] + vX_[634] * vX_[288];
+ vX_[591] = vX_[580] * 0.057838 + (0 - vX_[587]) * -0.012652 + vX_[574] * -0.001387 + vX_[585] * -0.018069;
+ vX_[599] = vX_[587] * 0.009683 + (0 - vX_[574]) * -0.001243 + vX_[585] * -0.012652;
+ vX_[635] = (0 - vX_[551]) * 0.057838;
+ vX_[636] = (0 - vX_[587]) * -0.001387;
+ vX_[637] = (0 - vX_[585]) * -0.001243;
+ vX_[638] = vX_[635] + vX_[636] - vX_[637];
+ vX_[639] = vX_[551] * vX_[91] + vX_[580] * vX_[51] + vX_[573] * vX_[62] + vX_[574] * vX_[75] + vX_[585] * vX_[28];
+ vX_[638] = vX_[634] + vX_[603] * vX_[303] + vX_[605] * vX_[17] + vX_[594] * vX_[277] + vX_[608] * vX_[292] +
+ vX_[591] * vX_[278] + vX_[599] * vX_[283] + vX_[638] * vX_[276] + vX_[638] * vX_[276] +
+ vX_[639] * x_in[10];
+ vX_[608] = vX_[577] * 0.038686875 + vX_[590] * -0.00751 + (0 - vX_[588]) * -0.000829 + vX_[589] * 1.5e-05;
+ vX_[590] = (0 - vX_[590]) * 0.000198;
+ vX_[633] = vX_[575] + vX_[590] - vX_[633];
+ vX_[575] = vX_[577] * -6.25528861700981e-05 + vX_[588] * 0.000199340411771047 + vX_[589] * 0.0107369757464698;
+ vX_[633] = vX_[576] * vX_[295] + vX_[578] * vX_[293] + vX_[630] * vX_[288] + vX_[608] * vX_[285] +
+ vX_[633] * vX_[286] + vX_[633] * vX_[286] + vX_[575] * x_in[11];
+ vX_[590] = 0 - vX_[590] - vX_[632];
+ vX_[600] = vX_[600] * -0.038686875 + vX_[577] * 0.00345708950900075 + vX_[588] * 0.00315291990945349 +
+ vX_[589] * 0.000199340411771047;
+ jac[140] = vX_[604] * vX_[307] + vX_[602] * vX_[309] + vX_[600] * vX_[304] + vX_[575] * vX_[286] + vX_[634];
+ vX_[600] = vX_[592] * vX_[295] + vX_[601] * vX_[309] + vX_[631] * vX_[288] + vX_[608] * vX_[286] +
+ vX_[590] * vX_[285] + vX_[590] * vX_[285] - vX_[600] * x_in[11];
+ vX_[590] = vX_[573] * 0.057838 + vX_[587] * -0.001243 + (0 - vX_[574]) * -0.008386 + (0 - vX_[585]) * -0.001387;
+ vX_[608] = vX_[574] * -0.012652;
+ vX_[636] = vX_[635] - vX_[636] - vX_[608];
+ vX_[635] = vX_[551] * vX_[87] + vX_[580] * vX_[57] + vX_[573] * vX_[49] + vX_[574] * vX_[22] + vX_[585] * vX_[75];
+ vX_[636] = vX_[593] * -0.184 + vX_[633] * vX_[8] + vX_[600] * vX_[9] + vX_[606] * vX_[277] + vX_[596] * vX_[279] +
+ vX_[590] * vX_[278] + vX_[599] * vX_[276] + vX_[636] * vX_[283] + vX_[636] * vX_[283] -
+ vX_[635] * x_in[10];
+ vX_[599] = vX_[556] * -0.008711861 + vX_[557] * 1.52322944854339e-09 + (0 - vX_[558]) * -0.00021200017 +
+ vX_[569] * 0.0036857284 + vX_[571] * 0.077424;
+ vX_[606] = vX_[557] * 0.160298259823722 + vX_[551] * -0.008711861 + vX_[558] * -0.06337651 +
+ (0 - vX_[569]) * -0.0022920002 + vX_[571] * -0.00021200017;
+ vX_[596] = (0 - vX_[556]) * 1.52322944854339e-09;
+ vX_[631] = (0 - vX_[551]) * 0.160298259823722;
+ vX_[601] = (0 - vX_[558]) * 0.0036857284;
+ vX_[592] = (0 - vX_[571]) * -0.0022920002;
+ vX_[575] = vX_[596] + vX_[631] + vX_[601] - vX_[592];
+ vX_[634] =
+ vX_[556] * vX_[106] + vX_[557] * vX_[93] + vX_[551] * vX_[114] + vX_[569] * vX_[120] + vX_[571] * vX_[130];
+ vX_[575] = vX_[598] * vX_[45] + vX_[610] * vX_[290] + vX_[638] * vX_[6] + vX_[636] * vX_[32] + vX_[611] * vX_[267] +
+ vX_[620] * vX_[277] + vX_[599] * vX_[268] + vX_[606] * vX_[274] + vX_[575] * vX_[263] +
+ vX_[575] * vX_[263] + vX_[634] * x_in[9];
+ vX_[608] = vX_[608] + vX_[637];
+ vX_[608] = vX_[593] * 0.02075 + vX_[633] * vX_[10] + vX_[600] * vX_[8] + vX_[595] * vX_[279] + vX_[607] * vX_[292] +
+ vX_[591] * vX_[276] + vX_[590] * vX_[283] + vX_[608] * vX_[278] + vX_[608] * vX_[278];
+ jac[128] = vX_[609] * vX_[315] + vX_[597] * vX_[279] + vX_[635] * vX_[312] + vX_[639] * vX_[276] + vX_[608];
+ vX_[635] = vX_[556] * 0.160298259823722 + vX_[551] * 1.52322944854339e-09 + vX_[558] * -0.0022920002 +
+ (0 - vX_[569]) * 0.01404749 + (0 - vX_[571]) * 0.0036857284;
+ vX_[639] = (0 - vX_[557]) * -0.008711861;
+ vX_[609] = vX_[569] * -0.00021200017;
+ vX_[601] = vX_[596] + vX_[639] - vX_[601] - vX_[609];
+ vX_[596] =
+ vX_[556] * vX_[124] + vX_[557] * vX_[102] + vX_[551] * vX_[95] + vX_[569] * vX_[131] + vX_[571] * vX_[120];
+ vX_[601] = vX_[608] + vX_[618] * vX_[267] + vX_[613] * vX_[270] + vX_[635] * vX_[268] + vX_[606] * vX_[263] +
+ vX_[601] * vX_[274] + vX_[601] * vX_[274] - vX_[596] * x_in[9];
+ vX_[608] =
+ vX_[548] * 0.647967112 + (0 - vX_[568]) * -0.011715295 + vX_[555] * 5.399998e-05 + vX_[550] * -0.199538951;
+ vX_[606] = vX_[548] * -0.0055615274403 + vX_[553] * 0.01438086 + vX_[568] * 0.00750500000000001 +
+ (0 - vX_[555]) * -0.0037997814 + vX_[550] * -0.011715295;
+ vX_[618] = (0 - vX_[553]) * -0.0055615274403;
+ vX_[613] = (0 - vX_[568]) * 5.399998e-05;
+ vX_[597] = (0 - vX_[550]) * -0.0037997814;
+ vX_[590] = vX_[618] + vX_[613] - vX_[597];
+ vX_[591] = vX_[357] + vX_[548] * vX_[174] + vX_[553] * vX_[166] + vX_[555] * vX_[159] + vX_[550] * vX_[172];
+ vX_[590] = vX_[617] * -0.304 + vX_[575] * vX_[98] + vX_[601] * vX_[3] + vX_[627] * vX_[266] + vX_[608] * vX_[255] +
+ vX_[606] * vX_[261] + vX_[590] * vX_[258] + vX_[590] * vX_[258] + vX_[591] * x_in[8];
+ vX_[609] = vX_[639] + vX_[631] + vX_[609] + vX_[592];
+ vX_[609] = vX_[598] * vX_[46] + vX_[610] * vX_[289] + vX_[638] * vX_[32] + vX_[636] * vX_[7] + vX_[612] * vX_[270] +
+ vX_[619] * vX_[277] + vX_[599] * vX_[263] + vX_[635] * vX_[274] + vX_[609] * vX_[268] +
+ vX_[609] * vX_[268];
+ jac[116] = vX_[621] * vX_[287] + vX_[614] * vX_[270] + vX_[596] * vX_[280] + vX_[634] * vX_[263] + vX_[609];
+ vX_[596] = vX_[553] * 0.647967112 + vX_[568] * -0.0037997814 + (0 - vX_[555]) * -0.192033951 +
+ (0 - vX_[550]) * 5.399998e-05;
+ vX_[634] = (0 - vX_[548]) * 0.01438086;
+ vX_[621] = vX_[555] * -0.011715295;
+ vX_[613] = vX_[634] - vX_[613] - vX_[621];
+ vX_[614] = vX_[249] + vX_[548] * vX_[150] + vX_[553] * vX_[175] + vX_[555] * vX_[173] + vX_[550] * vX_[159];
+ vX_[613] = vX_[615] * vX_[269] + vX_[622] * vX_[4] + vX_[609] * -1 + vX_[624] * vX_[256] + vX_[596] * vX_[255] +
+ vX_[606] * vX_[258] + vX_[613] * vX_[261] + vX_[613] * vX_[261] - vX_[614] * x_in[8];
+ vX_[609] = (0 - vX_[546]) * 0.046852534 + (0 - vX_[536]) * -0.002752 + vX_[482] * -0.022851627;
+ vX_[606] = vX_[546] * 0.0055279857;
+ vX_[624] = (0 - vX_[482]) * -0.002752;
+ vX_[635] = vX_[606] - vX_[624];
+ vX_[599] = vX_[458] + vX_[536] * vX_[198] + vX_[482] * vX_[231] + vX_[546] * -0.022851627 +
+ vX_[536] * 0.0055279857 + vX_[482] * -0.034462002;
+ vX_[635] = vX_[626] * vX_[152] + vX_[629] * vX_[264] + vX_[590] * vX_[1] + vX_[613] * vX_[151] +
+ vX_[609] * vX_[253] + vX_[635] * vX_[250] + vX_[635] * vX_[250] + vX_[599] * x_in[7];
+ vX_[619] = vX_[524] * vX_[215];
+ vX_[612] = vX_[538] * vX_[0];
+ vX_[639] = vX_[503] - vX_[619] - vX_[612];
+ vX_[592] = 0 - vX_[612];
+ vX_[631] = 0 - vX_[639];
+ vX_[627] = vX_[631] * vX_[214];
+ vX_[617] = vX_[639] * vX_[216];
+ vX_[607] = vX_[524] * vX_[0] + vX_[538] * vX_[215];
+ vX_[595] = 0 - (vX_[607] * vX_[214] + vX_[592] * vX_[216]);
+ vX_[593] = vX_[529] * vX_[0];
+ vX_[637] = 0 - vX_[593];
+ vX_[620] = vX_[540] * vX_[0];
+ vX_[611] = vX_[529] * vX_[215];
+ vX_[604] = vX_[522] - vX_[611] - vX_[620];
+ vX_[602] = 0 - vX_[620] + vX_[604];
+ vX_[589] = 0 - vX_[607];
+ vX_[588] = 0 - vX_[612];
+ vX_[577] = 0 - vX_[512];
+ vX_[632] = 0 - vX_[358];
+ vX_[621] = vX_[634] + vX_[618] + vX_[621] + vX_[597];
+ vX_[621] = vX_[575] * vX_[127] + vX_[601] * vX_[98] + vX_[623] * vX_[256] + vX_[616] * vX_[266] +
+ vX_[608] * vX_[258] + vX_[596] * vX_[261] + vX_[621] * vX_[255] + vX_[621] * vX_[255];
+ jac[104] = vX_[628] * vX_[339] + vX_[625] * vX_[256] + vX_[614] * vX_[336] + vX_[591] * vX_[258] + vX_[621];
+ vX_[546] = (0 - vX_[546]) * -0.002752 + (0 - vX_[536]) * 0.012390532 + (0 - vX_[482]) * 0.0055279857;
+ vX_[614] = vX_[536] * -0.022851627;
+ vX_[606] = 0 - vX_[606] - vX_[614];
+ vX_[591] = vX_[252] + vX_[536] * vX_[232] + vX_[482] * vX_[198];
+ vX_[606] = vX_[621] + vX_[546] * x_in[7] + vX_[609] * vX_[250] + vX_[606] * vX_[253] + vX_[606] * vX_[253] -
+ vX_[591] * x_in[7];
+ jac[80] = vX_[635] * vX_[215] + vX_[606] * vX_[0];
+ vX_[621] = 0 - vX_[627];
+ vX_[609] = vX_[619] * vX_[214];
+ vX_[628] = 0 - vX_[617];
+ vX_[625] = vX_[540] * vX_[215];
+ vX_[604] = vX_[611] - vX_[604];
+ jac[20] = 0 -
+ ((vX_[498] * vX_[1] + vX_[541] * vX_[151] + vX_[331] * vX_[238]) * 9.81 + vX_[252] * vX_[355] +
+ vX_[514] * vX_[254] + vX_[522] * vX_[356] + vX_[529] * vX_[352] + vX_[540] * vX_[272] +
+ vX_[503] * vX_[244] + vX_[524] * vX_[243] + vX_[538] * vX_[228] + vX_[635] * x_in[6] +
+ (vX_[639] * vX_[241] + vX_[592] * vX_[224] + vX_[627] * vX_[240] + vX_[617] * vX_[222] +
+ vX_[595] * vX_[223] + vX_[637] * vX_[271] + vX_[602] * vX_[353] + vX_[589] * vX_[227] +
+ vX_[588] * vX_[195]) *
+ -1 * 0.178) *
+ vX_[396] +
+ ((vX_[577] * vX_[110] + vX_[632] * vX_[204]) * 9.81 + vX_[458] * vX_[355] + vX_[502] * vX_[257] +
+ vX_[522] * vX_[260] + vX_[529] * vX_[273] + vX_[540] * vX_[354] + vX_[503] * vX_[247] +
+ vX_[524] * vX_[228] + vX_[538] * vX_[246] + vX_[606] * x_in[6] -
+ (vX_[607] * vX_[224] + vX_[631] * vX_[184] + vX_[619] * vX_[233] + vX_[621] * vX_[235] +
+ vX_[609] * vX_[223] + vX_[628] * vX_[240] + vX_[625] * vX_[353] + vX_[604] * vX_[271] +
+ vX_[607] * vX_[213] + vX_[619] * vX_[229]) *
+ 0.178) *
+ vX_[415];
+ vX_[606] = 1 / vX_[83];
+ vX_[631] = 0 - vX_[606];
+ vX_[592] = vX_[631] * vX_[68];
+ vX_[639] = 0 - vX_[606];
+ vX_[635] = vX_[639] * vX_[107];
+ vX_[502] = 0 - vX_[606];
+ vX_[538] = vX_[502] * vX_[101];
+ vX_[524] = (0 - vX_[606]) * -0.00021200017;
+ vX_[503] = vX_[538] * vX_[127] + vX_[524] * vX_[98];
+ vX_[540] = vX_[503] * 1 / vX_[148];
+ vX_[529] = 0 - vX_[540];
+ vX_[522] = vX_[592] * vX_[98] + vX_[635] * vX_[3] + vX_[529] * vX_[146];
+ vX_[514] = 0 - vX_[606];
+ vX_[458] = vX_[514] * vX_[69];
+ vX_[252] = 0 - vX_[540];
+ vX_[596] = vX_[458] * -1 + vX_[252] * vX_[164];
+ vX_[608] = 0 - vX_[540];
+ vX_[458] = vX_[458] * -0.304 + vX_[538] * vX_[98] + vX_[524] * vX_[3] + vX_[608] * vX_[143];
+ vX_[616] = 0 - vX_[606];
+ vX_[623] = 0 - vX_[540];
+ vX_[634] = vX_[592] * vX_[269] + vX_[635] * vX_[4] + vX_[616] * vX_[83] * -1 + vX_[623] * vX_[157];
+ vX_[597] = (vX_[522] * vX_[153] + vX_[596] * vX_[265] + vX_[458] * vX_[151] + vX_[634] * vX_[2]) * 1 / vX_[196];
+ vX_[618] = 0 - vX_[597];
+ vX_[630] = 0 - vX_[597];
+ vX_[578] =
+ vX_[522] * vX_[152] + vX_[596] * vX_[264] + vX_[458] * vX_[1] + vX_[634] * vX_[151] + vX_[630] * vX_[194];
+ vX_[576] = 0 - vX_[540];
+ vX_[503] = vX_[503] + vX_[576] * vX_[148] + (0 - vX_[597]) * -0.022851627;
+ vX_[594] = (vX_[578] * vX_[215] + vX_[503] * vX_[0]) * 1 / vX_[242];
+ vX_[640] = 0 - vX_[594];
+ vX_[641] = (0 - vX_[594]) * 9.81;
+ vX_[642] = vX_[641] * vX_[215];
+ vX_[643] = vX_[641] * vX_[0];
+ vX_[644] = 0 - vX_[594] * vX_[355];
+ vX_[645] = vX_[644] * vX_[215];
+ vX_[646] = vX_[644] * vX_[0];
+ vX_[647] = vX_[640] * vX_[215];
+ vX_[648] = vX_[647] * 1 / vX_[196];
+ vX_[594] = 0 - vX_[594];
+ vX_[649] = vX_[594] * vX_[0];
+ vX_[650] = vX_[649] * 1 / vX_[196];
+ vX_[651] = vX_[597] + vX_[648] * vX_[194] + vX_[650] * -0.022851627;
+ vX_[652] = 0 - vX_[651];
+ vX_[653] = vX_[652] * vX_[153] + vX_[647] * vX_[152];
+ vX_[654] = 0 - vX_[651];
+ vX_[655] = vX_[654] * vX_[2] + vX_[647] * vX_[151];
+ vX_[656] = vX_[653] * vX_[3] + vX_[655] * vX_[4];
+ vX_[657] = 0 - vX_[651];
+ vX_[658] = vX_[657] * vX_[265] + vX_[647] * vX_[264];
+ vX_[659] = 0 - vX_[651];
+ vX_[660] = vX_[659] * vX_[151] + vX_[647] * vX_[1];
+ vX_[661] = vX_[658] * -1 + vX_[660] * -0.304;
+ vX_[662] = vX_[653] * vX_[98] + vX_[655] * vX_[269];
+ vX_[663] = vX_[655] * -1;
+ vX_[664] = vX_[661] * 1 / vX_[83];
+ vX_[665] = vX_[662] * 1 / vX_[83];
+ vX_[666] = vX_[656] * 1 / vX_[83];
+ vX_[667] = vX_[663] * 1 / vX_[83];
+ vX_[668] = vX_[653] * 1 / vX_[148];
+ vX_[669] = vX_[658] * 1 / vX_[148];
+ vX_[670] = vX_[649] * 1 / vX_[148];
+ vX_[671] = vX_[660] * 1 / vX_[148];
+ vX_[672] = vX_[655] * 1 / vX_[148];
+ vX_[673] = vX_[649] - (vX_[540] + vX_[668] * vX_[146] + vX_[669] * vX_[164] + vX_[670] * vX_[148] +
+ vX_[671] * vX_[143] + vX_[672] * vX_[157]);
+ vX_[674] = vX_[673] * vX_[127] + vX_[660] * vX_[98];
+ vX_[675] = vX_[674] * 1 / vX_[83];
+ vX_[676] = vX_[673] * vX_[98] + vX_[660] * vX_[3];
+ vX_[677] = vX_[676] * 1 / vX_[83];
+ vX_[663] = vX_[663] - (vX_[606] + vX_[664] * vX_[69] + vX_[665] * vX_[68] + vX_[666] * vX_[107] +
+ vX_[667] * vX_[83] + vX_[675] * vX_[101] + vX_[677] * -0.00021200017);
+ vX_[678] = vX_[661] * vX_[291] + vX_[662] * vX_[32] + vX_[663] * vX_[289] + vX_[674] * vX_[290];
+ vX_[679] = vX_[663] * vX_[32] + vX_[674] * vX_[6];
+ vX_[680] = vX_[656] * vX_[8] + vX_[678] * vX_[9] + vX_[679] * vX_[17];
+ vX_[681] = vX_[680] * 1.547475;
+ vX_[682] = vX_[656] * vX_[294] + vX_[678] * vX_[8] + vX_[679] * vX_[303];
+ vX_[683] = vX_[682] * -1.547475;
+ vX_[684] = vX_[656] * 1 / vX_[29];
+ vX_[685] = vX_[661] * vX_[32] + vX_[662] * vX_[6] + vX_[663] * vX_[46] + vX_[674] * vX_[45];
+ vX_[686] = vX_[685] * 1 / vX_[29];
+ vX_[687] = vX_[678] * 1 / vX_[29];
+ vX_[688] = vX_[676] * 1 / vX_[29];
+ vX_[689] = vX_[679] * 1 / vX_[29];
+ vX_[690] = vX_[663] * vX_[7] + vX_[674] * vX_[32];
+ vX_[691] = vX_[690] * 1 / vX_[29];
+ vX_[692] = vX_[676] - (vX_[684] * vX_[36] + vX_[686] * vX_[19] + vX_[687] * vX_[12] + vX_[688] * vX_[29] +
+ vX_[689] * vX_[56] + vX_[691] * vX_[50]);
+ vX_[693] = vX_[692] * vX_[10] + vX_[690] * vX_[8];
+ vX_[694] = vX_[692] * vX_[8] + vX_[690] * vX_[9];
+ vX_[695] = vX_[679] - (vX_[682] * 107.793467715856 * 0.038686875 + vX_[679] * 107.793467715856 * 0.009277 +
+ vX_[693] * 107.793467715856 * -0.000829 + vX_[694] * 107.793467715856 * 1.5e-05);
+ vX_[696] = vX_[695] * 0.038686875;
+ vX_[697] = vX_[683] - vX_[696];
+ vX_[698] = vX_[681] * vX_[286] + vX_[697] * vX_[285];
+ vX_[699] = vX_[678] * 2.1032 + vX_[679] * 0.057838;
+ vX_[700] = 0 - vX_[699];
+ vX_[701] = vX_[656] * 2.1032;
+ vX_[702] = vX_[656] * vX_[88] + vX_[685] * vX_[31] + vX_[678] * vX_[35] + vX_[679] * vX_[49] + vX_[690] * vX_[62];
+ vX_[703] = vX_[698] + vX_[700] * vX_[278] + vX_[701] * vX_[283] + vX_[702] * x_in[10];
+ vX_[704] = 0 - vX_[681];
+ vX_[705] = vX_[685] + vX_[692] * 0.02075 + vX_[690] * -0.184;
+ vX_[706] = vX_[705] * 1.547475 + (0 - vX_[693]) * 0.038686875;
+ vX_[707] = vX_[680] * 1.547475;
+ vX_[708] = vX_[704] * vX_[288] + vX_[706] * vX_[285] + vX_[707] * x_in[11];
+ vX_[696] = 0 - vX_[683] + vX_[696];
+ vX_[683] = 0 - vX_[706];
+ vX_[709] = vX_[682] * 1.38614328745655 + vX_[693] * 0.00345708950900075 + vX_[694] * -6.25528861700981e-05;
+ vX_[710] = vX_[696] * vX_[288] + vX_[683] * vX_[286] - vX_[709] * x_in[11];
+ vX_[711] = vX_[685] * -2.1032 + vX_[690] * 0.057838;
+ vX_[712] = 0 - vX_[711];
+ vX_[713] = 0 - vX_[701];
+ vX_[714] = vX_[656] * vX_[90] + vX_[685] * vX_[33] + vX_[678] * vX_[31] + vX_[679] * vX_[57] + vX_[690] * vX_[51];
+ vX_[715] = vX_[708] * vX_[8] + vX_[710] * vX_[9] + vX_[712] * vX_[278] + vX_[713] * vX_[276] - vX_[714] * x_in[10];
+ vX_[716] = vX_[656] * 1.7423722 + (0 - vX_[663]) * -0.008711861 + vX_[674] * 1.52322944854339e-09;
+ vX_[717] = 0 - vX_[716];
+ vX_[718] = vX_[661] * 1.7423722 + (0 - vX_[674]) * 0.160298259823722 + vX_[676] * -0.008711861;
+ vX_[719] = vX_[635] + vX_[661] * vX_[108] + vX_[662] * vX_[135] + vX_[656] * vX_[121] + vX_[674] * vX_[95] +
+ vX_[676] * vX_[114];
+ vX_[720] = vX_[703] * vX_[6] + vX_[715] * vX_[32] + vX_[717] * vX_[268] + vX_[718] * vX_[274] + vX_[719] * x_in[9];
+ vX_[721] = vX_[662] * -1.7423722;
+ vX_[722] = vX_[663] * 0.160298259823722;
+ vX_[723] = vX_[676] * 1.52322944854339e-09;
+ vX_[724] = 0 - vX_[721] + vX_[722] - vX_[723];
+ vX_[725] = 0 - vX_[718];
+ vX_[726] = vX_[592] + vX_[661] * vX_[85] + vX_[662] * vX_[134] + vX_[656] * vX_[135] + vX_[674] * vX_[102] +
+ vX_[676] * vX_[93];
+ vX_[727] = vX_[708] * vX_[294] + vX_[710] * vX_[8] + vX_[699] * vX_[276] + vX_[711] * vX_[283] +
+ vX_[724] * vX_[268] + vX_[725] * vX_[263] - vX_[726] * x_in[9];
+ vX_[728] = 0 - (vX_[658] * 2.327 + (0 - vX_[673]) * 0.01438086 + vX_[660] * 0.647967112);
+ vX_[729] = (0 - vX_[660]) * -0.0055615274403 + vX_[655] * 0.01438086;
+ vX_[730] = vX_[596] + vX_[653] * vX_[168] + vX_[658] * vX_[185] + vX_[660] * vX_[175] + vX_[655] * vX_[166];
+ vX_[731] = vX_[720] * vX_[98] + vX_[727] * vX_[3] + vX_[728] * vX_[255] + vX_[729] * vX_[261] + vX_[730] * x_in[8];
+ vX_[723] = vX_[721] - vX_[722] + vX_[723];
+ vX_[722] = vX_[703] * vX_[32] + vX_[715] * vX_[291] + vX_[716] * vX_[263] + vX_[723] * vX_[274];
+ vX_[721] = vX_[673] * -0.0055615274403 - (vX_[653] * -2.327 + vX_[655] * 0.647967112);
+ vX_[732] = 0 - vX_[729];
+ vX_[733] = vX_[522] + vX_[653] * vX_[182] + vX_[658] * vX_[168] + vX_[660] * vX_[150] + vX_[655] * vX_[174];
+ vX_[734] = vX_[722] * -1 + vX_[721] * vX_[255] + vX_[732] * vX_[258] - vX_[733] * x_in[8];
+ vX_[735] = (0 - vX_[695]) * 1.5e-05 + vX_[693] * 0.000198 + vX_[694] * 0.00605;
+ vX_[736] = vX_[705] * 0.038686875 + vX_[695] * -0.000829 + (0 - vX_[693]) * -0.00146 + (0 - vX_[694]) * 0.000198;
+ vX_[680] = (0 - vX_[680]) * 0.038686875;
+ vX_[737] = vX_[693] * 1.5e-05;
+ vX_[738] = (0 - vX_[694]) * -0.000829;
+ vX_[739] = vX_[680] + vX_[737] + vX_[738];
+ vX_[739] = vX_[704] * vX_[309] + vX_[696] * vX_[293] + vX_[735] * vX_[286] + vX_[736] * vX_[285] +
+ vX_[739] * vX_[288] + vX_[739] * vX_[288];
+ vX_[696] = vX_[685] * 0.057838 + (0 - vX_[692]) * -0.012652 + vX_[679] * -0.001387 + vX_[690] * -0.018069;
+ vX_[704] = vX_[692] * 0.009683 + (0 - vX_[679]) * -0.001243 + vX_[690] * -0.012652;
+ vX_[740] = (0 - vX_[656]) * 0.057838;
+ vX_[741] = (0 - vX_[692]) * -0.001387;
+ vX_[742] = (0 - vX_[690]) * -0.001243;
+ vX_[743] = vX_[740] + vX_[741] - vX_[742];
+ vX_[744] = vX_[656] * vX_[91] + vX_[685] * vX_[51] + vX_[678] * vX_[62] + vX_[679] * vX_[75] + vX_[690] * vX_[28];
+ vX_[743] = vX_[739] + vX_[708] * vX_[303] + vX_[710] * vX_[17] + vX_[699] * vX_[277] + vX_[713] * vX_[292] +
+ vX_[696] * vX_[278] + vX_[704] * vX_[283] + vX_[743] * vX_[276] + vX_[743] * vX_[276] +
+ vX_[744] * x_in[10];
+ vX_[713] = vX_[682] * 0.038686875 + vX_[695] * -0.00751 + (0 - vX_[693]) * -0.000829 + vX_[694] * 1.5e-05;
+ vX_[695] = (0 - vX_[695]) * 0.000198;
+ vX_[738] = vX_[680] + vX_[695] - vX_[738];
+ vX_[680] = vX_[682] * -6.25528861700981e-05 + vX_[693] * 0.000199340411771047 + vX_[694] * 0.0107369757464698;
+ vX_[738] = vX_[681] * vX_[295] + vX_[683] * vX_[293] + vX_[735] * vX_[288] + vX_[713] * vX_[285] +
+ vX_[738] * vX_[286] + vX_[738] * vX_[286] + vX_[680] * x_in[11];
+ vX_[695] = 0 - vX_[695] - vX_[737];
+ vX_[705] = vX_[705] * -0.038686875 + vX_[682] * 0.00345708950900075 + vX_[693] * 0.00315291990945349 +
+ vX_[694] * 0.000199340411771047;
+ jac[141] = vX_[709] * vX_[307] + vX_[707] * vX_[309] + vX_[705] * vX_[304] + vX_[680] * vX_[286] + vX_[739];
+ vX_[705] = vX_[697] * vX_[295] + vX_[706] * vX_[309] + vX_[736] * vX_[288] + vX_[713] * vX_[286] +
+ vX_[695] * vX_[285] + vX_[695] * vX_[285] - vX_[705] * x_in[11];
+ vX_[695] = vX_[678] * 0.057838 + vX_[692] * -0.001243 + (0 - vX_[679]) * -0.008386 + (0 - vX_[690]) * -0.001387;
+ vX_[713] = vX_[679] * -0.012652;
+ vX_[741] = vX_[740] - vX_[741] - vX_[713];
+ vX_[740] = vX_[656] * vX_[87] + vX_[685] * vX_[57] + vX_[678] * vX_[49] + vX_[679] * vX_[22] + vX_[690] * vX_[75];
+ vX_[741] = vX_[698] * -0.184 + vX_[738] * vX_[8] + vX_[705] * vX_[9] + vX_[711] * vX_[277] + vX_[701] * vX_[279] +
+ vX_[695] * vX_[278] + vX_[704] * vX_[276] + vX_[741] * vX_[283] + vX_[741] * vX_[283] -
+ vX_[740] * x_in[10];
+ vX_[704] = vX_[661] * -0.008711861 + vX_[662] * 1.52322944854339e-09 + (0 - vX_[663]) * -0.00021200017 +
+ vX_[674] * 0.0036857284 + vX_[676] * 0.077424;
+ vX_[711] = vX_[662] * 0.160298259823722 + vX_[656] * -0.008711861 + vX_[663] * -0.06337651 +
+ (0 - vX_[674]) * -0.0022920002 + vX_[676] * -0.00021200017;
+ vX_[701] = (0 - vX_[661]) * 1.52322944854339e-09;
+ vX_[736] = (0 - vX_[656]) * 0.160298259823722;
+ vX_[706] = (0 - vX_[663]) * 0.0036857284;
+ vX_[697] = (0 - vX_[676]) * -0.0022920002;
+ vX_[680] = vX_[701] + vX_[736] + vX_[706] - vX_[697];
+ vX_[739] = vX_[524] + vX_[661] * vX_[106] + vX_[662] * vX_[93] + vX_[656] * vX_[114] + vX_[674] * vX_[120] +
+ vX_[676] * vX_[130];
+ vX_[680] = vX_[703] * vX_[45] + vX_[715] * vX_[290] + vX_[743] * vX_[6] + vX_[741] * vX_[32] + vX_[716] * vX_[267] +
+ vX_[725] * vX_[277] + vX_[704] * vX_[268] + vX_[711] * vX_[274] + vX_[680] * vX_[263] +
+ vX_[680] * vX_[263] + vX_[739] * x_in[9];
+ vX_[713] = vX_[713] + vX_[742];
+ vX_[713] = vX_[698] * 0.02075 + vX_[738] * vX_[10] + vX_[705] * vX_[8] + vX_[700] * vX_[279] + vX_[712] * vX_[292] +
+ vX_[696] * vX_[276] + vX_[695] * vX_[283] + vX_[713] * vX_[278] + vX_[713] * vX_[278];
+ jac[129] = vX_[714] * vX_[315] + vX_[702] * vX_[279] + vX_[740] * vX_[312] + vX_[744] * vX_[276] + vX_[713];
+ vX_[740] = vX_[661] * 0.160298259823722 + vX_[656] * 1.52322944854339e-09 + vX_[663] * -0.0022920002 +
+ (0 - vX_[674]) * 0.01404749 + (0 - vX_[676]) * 0.0036857284;
+ vX_[744] = (0 - vX_[662]) * -0.008711861;
+ vX_[714] = vX_[674] * -0.00021200017;
+ vX_[706] = vX_[701] + vX_[744] - vX_[706] - vX_[714];
+ vX_[701] = vX_[538] + vX_[661] * vX_[124] + vX_[662] * vX_[102] + vX_[656] * vX_[95] + vX_[674] * vX_[131] +
+ vX_[676] * vX_[120];
+ vX_[706] = vX_[713] + vX_[723] * vX_[267] + vX_[718] * vX_[270] + vX_[740] * vX_[268] + vX_[711] * vX_[263] +
+ vX_[706] * vX_[274] + vX_[706] * vX_[274] - vX_[701] * x_in[9];
+ vX_[713] =
+ vX_[653] * 0.647967112 + (0 - vX_[673]) * -0.011715295 + vX_[660] * 5.399998e-05 + vX_[655] * -0.199538951;
+ vX_[711] = vX_[653] * -0.0055615274403 + vX_[658] * 0.01438086 + vX_[673] * 0.00750500000000001 +
+ (0 - vX_[660]) * -0.0037997814 + vX_[655] * -0.011715295;
+ vX_[723] = (0 - vX_[658]) * -0.0055615274403;
+ vX_[718] = (0 - vX_[673]) * 5.399998e-05;
+ vX_[702] = (0 - vX_[655]) * -0.0037997814;
+ vX_[695] = vX_[723] + vX_[718] - vX_[702];
+ vX_[696] = vX_[634] + vX_[653] * vX_[174] + vX_[658] * vX_[166] + vX_[660] * vX_[159] + vX_[655] * vX_[172];
+ vX_[695] = vX_[722] * -0.304 + vX_[680] * vX_[98] + vX_[706] * vX_[3] + vX_[732] * vX_[266] + vX_[713] * vX_[255] +
+ vX_[711] * vX_[261] + vX_[695] * vX_[258] + vX_[695] * vX_[258] + vX_[696] * x_in[8];
+ vX_[714] = vX_[744] + vX_[736] + vX_[714] + vX_[697];
+ vX_[714] = vX_[703] * vX_[46] + vX_[715] * vX_[289] + vX_[743] * vX_[32] + vX_[741] * vX_[7] + vX_[717] * vX_[270] +
+ vX_[724] * vX_[277] + vX_[704] * vX_[263] + vX_[740] * vX_[274] + vX_[714] * vX_[268] +
+ vX_[714] * vX_[268];
+ jac[117] = vX_[726] * vX_[287] + vX_[719] * vX_[270] + vX_[701] * vX_[280] + vX_[739] * vX_[263] + vX_[714];
+ vX_[701] = vX_[658] * 0.647967112 + vX_[673] * -0.0037997814 + (0 - vX_[660]) * -0.192033951 +
+ (0 - vX_[655]) * 5.399998e-05;
+ vX_[739] = (0 - vX_[653]) * 0.01438086;
+ vX_[726] = vX_[660] * -0.011715295;
+ vX_[718] = vX_[739] - vX_[718] - vX_[726];
+ vX_[719] = vX_[458] + vX_[653] * vX_[150] + vX_[658] * vX_[175] + vX_[660] * vX_[173] + vX_[655] * vX_[159];
+ vX_[718] = vX_[720] * vX_[269] + vX_[727] * vX_[4] + vX_[714] * -1 + vX_[729] * vX_[256] + vX_[701] * vX_[255] +
+ vX_[711] * vX_[258] + vX_[718] * vX_[261] + vX_[718] * vX_[261] - vX_[719] * x_in[8];
+ vX_[714] = (0 - vX_[651]) * 0.046852534 + (0 - vX_[647]) * -0.002752 + vX_[649] * -0.022851627;
+ vX_[711] = vX_[651] * 0.0055279857;
+ vX_[729] = (0 - vX_[649]) * -0.002752;
+ vX_[740] = vX_[711] - vX_[729];
+ vX_[704] = vX_[503] + vX_[647] * vX_[198] + vX_[649] * vX_[231] + vX_[651] * -0.022851627 +
+ vX_[647] * 0.0055279857 + vX_[649] * -0.034462002;
+ vX_[740] = vX_[731] * vX_[152] + vX_[734] * vX_[264] + vX_[695] * vX_[1] + vX_[718] * vX_[151] +
+ vX_[714] * vX_[253] + vX_[740] * vX_[250] + vX_[740] * vX_[250] + vX_[704] * x_in[7];
+ vX_[724] = vX_[645] * vX_[215];
+ vX_[717] = vX_[646] * vX_[0];
+ vX_[744] = vX_[644] - vX_[724] - vX_[717];
+ vX_[697] = 0 - vX_[717];
+ vX_[736] = 0 - vX_[744];
+ vX_[732] = vX_[736] * vX_[214];
+ vX_[722] = vX_[744] * vX_[216];
+ vX_[712] = vX_[645] * vX_[0] + vX_[646] * vX_[215];
+ vX_[700] = 0 - (vX_[712] * vX_[214] + vX_[697] * vX_[216]);
+ vX_[698] = vX_[642] * vX_[0];
+ vX_[742] = 0 - vX_[698];
+ vX_[725] = vX_[643] * vX_[0];
+ vX_[716] = vX_[642] * vX_[215];
+ vX_[709] = vX_[641] - vX_[716] - vX_[725];
+ vX_[707] = 0 - vX_[725] + vX_[709];
+ vX_[694] = 0 - vX_[712];
+ vX_[693] = 0 - vX_[717];
+ vX_[682] = 0 - vX_[3];
+ vX_[737] = 0 - vX_[540];
+ vX_[735] = 0 - vX_[597];
+ vX_[726] = vX_[739] + vX_[723] + vX_[726] + vX_[702];
+ vX_[726] = vX_[680] * vX_[127] + vX_[706] * vX_[98] + vX_[728] * vX_[256] + vX_[721] * vX_[266] +
+ vX_[713] * vX_[258] + vX_[701] * vX_[261] + vX_[726] * vX_[255] + vX_[726] * vX_[255];
+ jac[105] = vX_[733] * vX_[339] + vX_[730] * vX_[256] + vX_[719] * vX_[336] + vX_[696] * vX_[258] + vX_[726];
+ vX_[651] = (0 - vX_[651]) * -0.002752 + (0 - vX_[647]) * 0.012390532 + (0 - vX_[649]) * 0.0055279857;
+ vX_[719] = vX_[647] * -0.022851627;
+ vX_[711] = 0 - vX_[711] - vX_[719];
+ vX_[696] = vX_[578] + vX_[647] * vX_[232] + vX_[649] * vX_[198];
+ vX_[711] = vX_[726] + vX_[651] * x_in[7] + vX_[714] * vX_[250] + vX_[711] * vX_[253] + vX_[711] * vX_[253] -
+ vX_[696] * x_in[7];
+ jac[81] = vX_[740] * vX_[215] + vX_[711] * vX_[0];
+ vX_[726] = 0 - vX_[732];
+ vX_[714] = vX_[724] * vX_[214];
+ vX_[733] = 0 - vX_[722];
+ vX_[730] = vX_[643] * vX_[215];
+ vX_[709] = vX_[716] - vX_[709];
+ jac[21] =
+ 0 -
+ ((vX_[522] * vX_[1] + vX_[596] * vX_[151] + vX_[618] * vX_[238]) * 9.81 + vX_[578] * vX_[355] +
+ vX_[640] * vX_[254] + vX_[641] * vX_[356] + vX_[642] * vX_[352] + vX_[643] * vX_[272] +
+ vX_[644] * vX_[244] + vX_[645] * vX_[243] + vX_[646] * vX_[228] + vX_[740] * x_in[6] +
+ (vX_[744] * vX_[241] + vX_[697] * vX_[224] + vX_[732] * vX_[240] + vX_[722] * vX_[222] +
+ vX_[700] * vX_[223] + vX_[742] * vX_[271] + vX_[707] * vX_[353] + vX_[694] * vX_[227] +
+ vX_[693] * vX_[195]) *
+ -1 * 0.178) *
+ vX_[396] +
+ ((vX_[592] * vX_[682] + vX_[635] * vX_[98] + vX_[737] * vX_[110] + vX_[735] * vX_[204]) * 9.81 +
+ vX_[503] * vX_[355] + vX_[594] * vX_[257] + vX_[641] * vX_[260] + vX_[642] * vX_[273] +
+ vX_[643] * vX_[354] + vX_[644] * vX_[247] + vX_[645] * vX_[228] + vX_[646] * vX_[246] + vX_[711] * x_in[6] -
+ (vX_[712] * vX_[224] + vX_[736] * vX_[184] + vX_[724] * vX_[233] + vX_[726] * vX_[235] +
+ vX_[714] * vX_[223] + vX_[733] * vX_[240] + vX_[730] * vX_[353] + vX_[709] * vX_[271] +
+ vX_[712] * vX_[213] + vX_[724] * vX_[229]) *
+ 0.178) *
+ vX_[415];
+ vX_[711] = 1 / vX_[29];
+ vX_[736] = 0 - vX_[711];
+ vX_[697] = vX_[736] * vX_[19];
+ vX_[744] = 0 - vX_[711];
+ vX_[740] = vX_[744] * vX_[12];
+ vX_[594] = 0 - vX_[711];
+ vX_[646] = vX_[594] * vX_[56];
+ vX_[645] = 0 - vX_[711];
+ vX_[644] = vX_[645] * vX_[50];
+ vX_[643] = vX_[697] * vX_[46] + vX_[740] * vX_[289] + vX_[646] * vX_[32] + vX_[644] * vX_[7];
+ vX_[642] = vX_[643] * 1 / vX_[83];
+ vX_[641] = 0 - vX_[642];
+ vX_[640] = vX_[697] * vX_[6] + vX_[740] * vX_[32] + vX_[641] * vX_[68];
+ vX_[503] = 0 - vX_[711];
+ vX_[578] = 0 - vX_[642];
+ vX_[701] = vX_[503] * vX_[36] + vX_[578] * vX_[107];
+ vX_[713] = 0 - vX_[642];
+ vX_[721] = vX_[697] * vX_[45] + vX_[740] * vX_[290] + vX_[646] * vX_[6] + vX_[644] * vX_[32] + vX_[713] * vX_[101];
+ vX_[728] = 0 - vX_[711];
+ vX_[739] = vX_[728] * vX_[29] + (0 - vX_[642]) * -0.00021200017;
+ vX_[702] = vX_[721] * vX_[127] + vX_[739] * vX_[98];
+ vX_[723] = vX_[702] * 1 / vX_[148];
+ vX_[683] = 0 - vX_[723];
+ vX_[681] = vX_[640] * vX_[98] + vX_[701] * vX_[3] + vX_[683] * vX_[146];
+ vX_[699] = 0 - vX_[642];
+ vX_[745] = vX_[697] * vX_[32] + vX_[740] * vX_[291] + vX_[699] * vX_[69];
+ vX_[746] = 0 - vX_[723];
+ vX_[747] = vX_[745] * -1 + vX_[746] * vX_[164];
+ vX_[748] = 0 - vX_[723];
+ vX_[745] = vX_[745] * -0.304 + vX_[721] * vX_[98] + vX_[739] * vX_[3] + vX_[748] * vX_[143];
+ vX_[749] = 0 - vX_[642];
+ vX_[750] = 0 - vX_[723];
+ vX_[643] = vX_[640] * vX_[269] + vX_[701] * vX_[4] + (vX_[643] + vX_[749] * vX_[83]) * -1 + vX_[750] * vX_[157];
+ vX_[751] = (vX_[681] * vX_[153] + vX_[747] * vX_[265] + vX_[745] * vX_[151] + vX_[643] * vX_[2]) * 1 / vX_[196];
+ vX_[752] = 0 - vX_[751];
+ vX_[753] = 0 - vX_[751];
+ vX_[754] =
+ vX_[681] * vX_[152] + vX_[747] * vX_[264] + vX_[745] * vX_[1] + vX_[643] * vX_[151] + vX_[753] * vX_[194];
+ vX_[755] = 0 - vX_[723];
+ vX_[702] = vX_[702] + vX_[755] * vX_[148] + (0 - vX_[751]) * -0.022851627;
+ vX_[756] = (vX_[754] * vX_[215] + vX_[702] * vX_[0]) * 1 / vX_[242];
+ vX_[757] = 0 - vX_[756];
+ vX_[758] = (0 - vX_[756]) * 9.81;
+ vX_[759] = vX_[758] * vX_[215];
+ vX_[760] = vX_[758] * vX_[0];
+ vX_[761] = 0 - vX_[756] * vX_[355];
+ vX_[762] = vX_[761] * vX_[215];
+ vX_[763] = vX_[761] * vX_[0];
+ vX_[764] = vX_[757] * vX_[215];
+ vX_[765] = vX_[764] * 1 / vX_[196];
+ vX_[756] = 0 - vX_[756];
+ vX_[766] = vX_[756] * vX_[0];
+ vX_[767] = vX_[766] * 1 / vX_[196];
+ vX_[768] = vX_[751] + vX_[765] * vX_[194] + vX_[767] * -0.022851627;
+ vX_[769] = 0 - vX_[768];
+ vX_[770] = vX_[769] * vX_[153] + vX_[764] * vX_[152];
+ vX_[771] = 0 - vX_[768];
+ vX_[772] = vX_[771] * vX_[2] + vX_[764] * vX_[151];
+ vX_[773] = vX_[770] * vX_[3] + vX_[772] * vX_[4];
+ vX_[774] = 0 - vX_[768];
+ vX_[775] = vX_[774] * vX_[265] + vX_[764] * vX_[264];
+ vX_[776] = 0 - vX_[768];
+ vX_[777] = vX_[776] * vX_[151] + vX_[764] * vX_[1];
+ vX_[778] = vX_[775] * -1 + vX_[777] * -0.304;
+ vX_[779] = vX_[770] * vX_[98] + vX_[772] * vX_[269];
+ vX_[780] = vX_[772] * -1;
+ vX_[781] = vX_[778] * 1 / vX_[83];
+ vX_[782] = vX_[779] * 1 / vX_[83];
+ vX_[783] = vX_[773] * 1 / vX_[83];
+ vX_[784] = vX_[780] * 1 / vX_[83];
+ vX_[785] = vX_[770] * 1 / vX_[148];
+ vX_[786] = vX_[775] * 1 / vX_[148];
+ vX_[787] = vX_[766] * 1 / vX_[148];
+ vX_[788] = vX_[777] * 1 / vX_[148];
+ vX_[789] = vX_[772] * 1 / vX_[148];
+ vX_[790] = vX_[766] - (vX_[723] + vX_[785] * vX_[146] + vX_[786] * vX_[164] + vX_[787] * vX_[148] +
+ vX_[788] * vX_[143] + vX_[789] * vX_[157]);
+ vX_[791] = vX_[790] * vX_[127] + vX_[777] * vX_[98];
+ vX_[792] = vX_[791] * 1 / vX_[83];
+ vX_[793] = vX_[790] * vX_[98] + vX_[777] * vX_[3];
+ vX_[794] = vX_[793] * 1 / vX_[83];
+ vX_[780] = vX_[780] - (vX_[642] + vX_[781] * vX_[69] + vX_[782] * vX_[68] + vX_[783] * vX_[107] +
+ vX_[784] * vX_[83] + vX_[792] * vX_[101] + vX_[794] * -0.00021200017);
+ vX_[795] = vX_[778] * vX_[291] + vX_[779] * vX_[32] + vX_[780] * vX_[289] + vX_[791] * vX_[290];
+ vX_[796] = vX_[780] * vX_[32] + vX_[791] * vX_[6];
+ vX_[797] = vX_[773] * vX_[8] + vX_[795] * vX_[9] + vX_[796] * vX_[17];
+ vX_[798] = vX_[797] * 1.547475;
+ vX_[799] = vX_[773] * vX_[294] + vX_[795] * vX_[8] + vX_[796] * vX_[303];
+ vX_[800] = vX_[799] * -1.547475;
+ vX_[801] = vX_[773] * 1 / vX_[29];
+ vX_[802] = vX_[778] * vX_[32] + vX_[779] * vX_[6] + vX_[780] * vX_[46] + vX_[791] * vX_[45];
+ vX_[803] = vX_[802] * 1 / vX_[29];
+ vX_[804] = vX_[795] * 1 / vX_[29];
+ vX_[805] = vX_[793] * 1 / vX_[29];
+ vX_[806] = vX_[796] * 1 / vX_[29];
+ vX_[807] = vX_[780] * vX_[7] + vX_[791] * vX_[32];
+ vX_[808] = vX_[807] * 1 / vX_[29];
+ vX_[809] = vX_[793] - (vX_[711] + vX_[801] * vX_[36] + vX_[803] * vX_[19] + vX_[804] * vX_[12] +
+ vX_[805] * vX_[29] + vX_[806] * vX_[56] + vX_[808] * vX_[50]);
+ vX_[810] = vX_[809] * vX_[10] + vX_[807] * vX_[8];
+ vX_[811] = vX_[809] * vX_[8] + vX_[807] * vX_[9];
+ vX_[812] = vX_[796] - (vX_[799] * 107.793467715856 * 0.038686875 + vX_[796] * 107.793467715856 * 0.009277 +
+ vX_[810] * 107.793467715856 * -0.000829 + vX_[811] * 107.793467715856 * 1.5e-05);
+ vX_[813] = vX_[812] * 0.038686875;
+ vX_[814] = vX_[800] - vX_[813];
+ vX_[815] = vX_[798] * vX_[286] + vX_[814] * vX_[285];
+ vX_[816] = vX_[795] * 2.1032 + vX_[796] * 0.057838;
+ vX_[817] = 0 - vX_[816];
+ vX_[818] = vX_[773] * 2.1032;
+ vX_[819] = vX_[740] + vX_[773] * vX_[88] + vX_[802] * vX_[31] + vX_[795] * vX_[35] + vX_[796] * vX_[49] +
+ vX_[807] * vX_[62];
+ vX_[820] = vX_[815] + vX_[817] * vX_[278] + vX_[818] * vX_[283] + vX_[819] * x_in[10];
+ vX_[821] = 0 - vX_[798];
+ vX_[822] = vX_[802] + vX_[809] * 0.02075 + vX_[807] * -0.184;
+ vX_[823] = vX_[822] * 1.547475 + (0 - vX_[810]) * 0.038686875;
+ vX_[824] = vX_[797] * 1.547475;
+ vX_[825] = vX_[821] * vX_[288] + vX_[823] * vX_[285] + vX_[824] * x_in[11];
+ vX_[813] = 0 - vX_[800] + vX_[813];
+ vX_[800] = 0 - vX_[823];
+ vX_[826] = vX_[799] * 1.38614328745655 + vX_[810] * 0.00345708950900075 + vX_[811] * -6.25528861700981e-05;
+ vX_[827] = vX_[813] * vX_[288] + vX_[800] * vX_[286] - vX_[826] * x_in[11];
+ vX_[828] = vX_[802] * -2.1032 + vX_[807] * 0.057838;
+ vX_[829] = 0 - vX_[828];
+ vX_[830] = 0 - vX_[818];
+ vX_[831] = vX_[697] + vX_[773] * vX_[90] + vX_[802] * vX_[33] + vX_[795] * vX_[31] + vX_[796] * vX_[57] +
+ vX_[807] * vX_[51];
+ vX_[832] = vX_[825] * vX_[8] + vX_[827] * vX_[9] + vX_[829] * vX_[278] + vX_[830] * vX_[276] - vX_[831] * x_in[10];
+ vX_[833] = vX_[773] * 1.7423722 + (0 - vX_[780]) * -0.008711861 + vX_[791] * 1.52322944854339e-09;
+ vX_[834] = 0 - vX_[833];
+ vX_[835] = vX_[778] * 1.7423722 + (0 - vX_[791]) * 0.160298259823722 + vX_[793] * -0.008711861;
+ vX_[836] = vX_[701] + vX_[778] * vX_[108] + vX_[779] * vX_[135] + vX_[773] * vX_[121] + vX_[791] * vX_[95] +
+ vX_[793] * vX_[114];
+ vX_[837] = vX_[820] * vX_[6] + vX_[832] * vX_[32] + vX_[834] * vX_[268] + vX_[835] * vX_[274] + vX_[836] * x_in[9];
+ vX_[838] = vX_[779] * -1.7423722;
+ vX_[839] = vX_[780] * 0.160298259823722;
+ vX_[840] = vX_[793] * 1.52322944854339e-09;
+ vX_[841] = 0 - vX_[838] + vX_[839] - vX_[840];
+ vX_[842] = 0 - vX_[835];
+ vX_[843] = vX_[640] + vX_[778] * vX_[85] + vX_[779] * vX_[134] + vX_[773] * vX_[135] + vX_[791] * vX_[102] +
+ vX_[793] * vX_[93];
+ vX_[844] = vX_[825] * vX_[294] + vX_[827] * vX_[8] + vX_[816] * vX_[276] + vX_[828] * vX_[283] +
+ vX_[841] * vX_[268] + vX_[842] * vX_[263] - vX_[843] * x_in[9];
+ vX_[845] = 0 - (vX_[775] * 2.327 + (0 - vX_[790]) * 0.01438086 + vX_[777] * 0.647967112);
+ vX_[846] = (0 - vX_[777]) * -0.0055615274403 + vX_[772] * 0.01438086;
+ vX_[847] = vX_[747] + vX_[770] * vX_[168] + vX_[775] * vX_[185] + vX_[777] * vX_[175] + vX_[772] * vX_[166];
+ vX_[848] = vX_[837] * vX_[98] + vX_[844] * vX_[3] + vX_[845] * vX_[255] + vX_[846] * vX_[261] + vX_[847] * x_in[8];
+ vX_[840] = vX_[838] - vX_[839] + vX_[840];
+ vX_[839] = vX_[820] * vX_[32] + vX_[832] * vX_[291] + vX_[833] * vX_[263] + vX_[840] * vX_[274];
+ vX_[838] = vX_[790] * -0.0055615274403 - (vX_[770] * -2.327 + vX_[772] * 0.647967112);
+ vX_[849] = 0 - vX_[846];
+ vX_[850] = vX_[681] + vX_[770] * vX_[182] + vX_[775] * vX_[168] + vX_[777] * vX_[150] + vX_[772] * vX_[174];
+ vX_[851] = vX_[839] * -1 + vX_[838] * vX_[255] + vX_[849] * vX_[258] - vX_[850] * x_in[8];
+ vX_[852] = (0 - vX_[812]) * 1.5e-05 + vX_[810] * 0.000198 + vX_[811] * 0.00605;
+ vX_[853] = vX_[822] * 0.038686875 + vX_[812] * -0.000829 + (0 - vX_[810]) * -0.00146 + (0 - vX_[811]) * 0.000198;
+ vX_[797] = (0 - vX_[797]) * 0.038686875;
+ vX_[854] = vX_[810] * 1.5e-05;
+ vX_[855] = (0 - vX_[811]) * -0.000829;
+ vX_[856] = vX_[797] + vX_[854] + vX_[855];
+ vX_[856] = vX_[821] * vX_[309] + vX_[813] * vX_[293] + vX_[852] * vX_[286] + vX_[853] * vX_[285] +
+ vX_[856] * vX_[288] + vX_[856] * vX_[288];
+ vX_[813] = vX_[802] * 0.057838 + (0 - vX_[809]) * -0.012652 + vX_[796] * -0.001387 + vX_[807] * -0.018069;
+ vX_[821] = vX_[809] * 0.009683 + (0 - vX_[796]) * -0.001243 + vX_[807] * -0.012652;
+ vX_[857] = (0 - vX_[773]) * 0.057838;
+ vX_[858] = (0 - vX_[809]) * -0.001387;
+ vX_[859] = (0 - vX_[807]) * -0.001243;
+ vX_[860] = vX_[857] + vX_[858] - vX_[859];
+ vX_[861] = vX_[644] + vX_[773] * vX_[91] + vX_[802] * vX_[51] + vX_[795] * vX_[62] + vX_[796] * vX_[75] +
+ vX_[807] * vX_[28];
+ vX_[860] = vX_[856] + vX_[825] * vX_[303] + vX_[827] * vX_[17] + vX_[816] * vX_[277] + vX_[830] * vX_[292] +
+ vX_[813] * vX_[278] + vX_[821] * vX_[283] + vX_[860] * vX_[276] + vX_[860] * vX_[276] +
+ vX_[861] * x_in[10];
+ vX_[830] = vX_[799] * 0.038686875 + vX_[812] * -0.00751 + (0 - vX_[810]) * -0.000829 + vX_[811] * 1.5e-05;
+ vX_[812] = (0 - vX_[812]) * 0.000198;
+ vX_[855] = vX_[797] + vX_[812] - vX_[855];
+ vX_[797] = vX_[799] * -6.25528861700981e-05 + vX_[810] * 0.000199340411771047 + vX_[811] * 0.0107369757464698;
+ vX_[855] = vX_[798] * vX_[295] + vX_[800] * vX_[293] + vX_[852] * vX_[288] + vX_[830] * vX_[285] +
+ vX_[855] * vX_[286] + vX_[855] * vX_[286] + vX_[797] * x_in[11];
+ vX_[812] = 0 - vX_[812] - vX_[854];
+ vX_[822] = vX_[822] * -0.038686875 + vX_[799] * 0.00345708950900075 + vX_[810] * 0.00315291990945349 +
+ vX_[811] * 0.000199340411771047;
+ jac[142] = vX_[826] * vX_[307] + vX_[824] * vX_[309] + vX_[822] * vX_[304] + vX_[797] * vX_[286] + vX_[856];
+ vX_[822] = vX_[814] * vX_[295] + vX_[823] * vX_[309] + vX_[853] * vX_[288] + vX_[830] * vX_[286] +
+ vX_[812] * vX_[285] + vX_[812] * vX_[285] - vX_[822] * x_in[11];
+ vX_[812] = vX_[795] * 0.057838 + vX_[809] * -0.001243 + (0 - vX_[796]) * -0.008386 + (0 - vX_[807]) * -0.001387;
+ vX_[830] = vX_[796] * -0.012652;
+ vX_[858] = vX_[857] - vX_[858] - vX_[830];
+ vX_[857] = vX_[646] + vX_[773] * vX_[87] + vX_[802] * vX_[57] + vX_[795] * vX_[49] + vX_[796] * vX_[22] +
+ vX_[807] * vX_[75];
+ vX_[858] = vX_[815] * -0.184 + vX_[855] * vX_[8] + vX_[822] * vX_[9] + vX_[828] * vX_[277] + vX_[818] * vX_[279] +
+ vX_[812] * vX_[278] + vX_[821] * vX_[276] + vX_[858] * vX_[283] + vX_[858] * vX_[283] -
+ vX_[857] * x_in[10];
+ vX_[821] = vX_[778] * -0.008711861 + vX_[779] * 1.52322944854339e-09 + (0 - vX_[780]) * -0.00021200017 +
+ vX_[791] * 0.0036857284 + vX_[793] * 0.077424;
+ vX_[828] = vX_[779] * 0.160298259823722 + vX_[773] * -0.008711861 + vX_[780] * -0.06337651 +
+ (0 - vX_[791]) * -0.0022920002 + vX_[793] * -0.00021200017;
+ vX_[818] = (0 - vX_[778]) * 1.52322944854339e-09;
+ vX_[853] = (0 - vX_[773]) * 0.160298259823722;
+ vX_[823] = (0 - vX_[780]) * 0.0036857284;
+ vX_[814] = (0 - vX_[793]) * -0.0022920002;
+ vX_[797] = vX_[818] + vX_[853] + vX_[823] - vX_[814];
+ vX_[856] = vX_[739] + vX_[778] * vX_[106] + vX_[779] * vX_[93] + vX_[773] * vX_[114] + vX_[791] * vX_[120] +
+ vX_[793] * vX_[130];
+ vX_[797] = vX_[820] * vX_[45] + vX_[832] * vX_[290] + vX_[860] * vX_[6] + vX_[858] * vX_[32] + vX_[833] * vX_[267] +
+ vX_[842] * vX_[277] + vX_[821] * vX_[268] + vX_[828] * vX_[274] + vX_[797] * vX_[263] +
+ vX_[797] * vX_[263] + vX_[856] * x_in[9];
+ vX_[830] = vX_[830] + vX_[859];
+ vX_[830] = vX_[815] * 0.02075 + vX_[855] * vX_[10] + vX_[822] * vX_[8] + vX_[817] * vX_[279] + vX_[829] * vX_[292] +
+ vX_[813] * vX_[276] + vX_[812] * vX_[283] + vX_[830] * vX_[278] + vX_[830] * vX_[278];
+ jac[130] = vX_[831] * vX_[315] + vX_[819] * vX_[279] + vX_[857] * vX_[312] + vX_[861] * vX_[276] + vX_[830];
+ vX_[857] = vX_[778] * 0.160298259823722 + vX_[773] * 1.52322944854339e-09 + vX_[780] * -0.0022920002 +
+ (0 - vX_[791]) * 0.01404749 + (0 - vX_[793]) * 0.0036857284;
+ vX_[861] = (0 - vX_[779]) * -0.008711861;
+ vX_[831] = vX_[791] * -0.00021200017;
+ vX_[823] = vX_[818] + vX_[861] - vX_[823] - vX_[831];
+ vX_[818] = vX_[721] + vX_[778] * vX_[124] + vX_[779] * vX_[102] + vX_[773] * vX_[95] + vX_[791] * vX_[131] +
+ vX_[793] * vX_[120];
+ vX_[823] = vX_[830] + vX_[840] * vX_[267] + vX_[835] * vX_[270] + vX_[857] * vX_[268] + vX_[828] * vX_[263] +
+ vX_[823] * vX_[274] + vX_[823] * vX_[274] - vX_[818] * x_in[9];
+ vX_[830] =
+ vX_[770] * 0.647967112 + (0 - vX_[790]) * -0.011715295 + vX_[777] * 5.399998e-05 + vX_[772] * -0.199538951;
+ vX_[828] = vX_[770] * -0.0055615274403 + vX_[775] * 0.01438086 + vX_[790] * 0.00750500000000001 +
+ (0 - vX_[777]) * -0.0037997814 + vX_[772] * -0.011715295;
+ vX_[840] = (0 - vX_[775]) * -0.0055615274403;
+ vX_[835] = (0 - vX_[790]) * 5.399998e-05;
+ vX_[819] = (0 - vX_[772]) * -0.0037997814;
+ vX_[812] = vX_[840] + vX_[835] - vX_[819];
+ vX_[813] = vX_[643] + vX_[770] * vX_[174] + vX_[775] * vX_[166] + vX_[777] * vX_[159] + vX_[772] * vX_[172];
+ vX_[812] = vX_[839] * -0.304 + vX_[797] * vX_[98] + vX_[823] * vX_[3] + vX_[849] * vX_[266] + vX_[830] * vX_[255] +
+ vX_[828] * vX_[261] + vX_[812] * vX_[258] + vX_[812] * vX_[258] + vX_[813] * x_in[8];
+ vX_[831] = vX_[861] + vX_[853] + vX_[831] + vX_[814];
+ vX_[831] = vX_[820] * vX_[46] + vX_[832] * vX_[289] + vX_[860] * vX_[32] + vX_[858] * vX_[7] + vX_[834] * vX_[270] +
+ vX_[841] * vX_[277] + vX_[821] * vX_[263] + vX_[857] * vX_[274] + vX_[831] * vX_[268] +
+ vX_[831] * vX_[268];
+ jac[118] = vX_[843] * vX_[287] + vX_[836] * vX_[270] + vX_[818] * vX_[280] + vX_[856] * vX_[263] + vX_[831];
+ vX_[818] = vX_[775] * 0.647967112 + vX_[790] * -0.0037997814 + (0 - vX_[777]) * -0.192033951 +
+ (0 - vX_[772]) * 5.399998e-05;
+ vX_[856] = (0 - vX_[770]) * 0.01438086;
+ vX_[843] = vX_[777] * -0.011715295;
+ vX_[835] = vX_[856] - vX_[835] - vX_[843];
+ vX_[836] = vX_[745] + vX_[770] * vX_[150] + vX_[775] * vX_[175] + vX_[777] * vX_[173] + vX_[772] * vX_[159];
+ vX_[835] = vX_[837] * vX_[269] + vX_[844] * vX_[4] + vX_[831] * -1 + vX_[846] * vX_[256] + vX_[818] * vX_[255] +
+ vX_[828] * vX_[258] + vX_[835] * vX_[261] + vX_[835] * vX_[261] - vX_[836] * x_in[8];
+ vX_[831] = (0 - vX_[768]) * 0.046852534 + (0 - vX_[764]) * -0.002752 + vX_[766] * -0.022851627;
+ vX_[828] = vX_[768] * 0.0055279857;
+ vX_[846] = (0 - vX_[766]) * -0.002752;
+ vX_[857] = vX_[828] - vX_[846];
+ vX_[821] = vX_[702] + vX_[764] * vX_[198] + vX_[766] * vX_[231] + vX_[768] * -0.022851627 +
+ vX_[764] * 0.0055279857 + vX_[766] * -0.034462002;
+ vX_[857] = vX_[848] * vX_[152] + vX_[851] * vX_[264] + vX_[812] * vX_[1] + vX_[835] * vX_[151] +
+ vX_[831] * vX_[253] + vX_[857] * vX_[250] + vX_[857] * vX_[250] + vX_[821] * x_in[7];
+ vX_[841] = vX_[762] * vX_[215];
+ vX_[834] = vX_[763] * vX_[0];
+ vX_[861] = vX_[761] - vX_[841] - vX_[834];
+ vX_[814] = 0 - vX_[834];
+ vX_[853] = 0 - vX_[861];
+ vX_[849] = vX_[853] * vX_[214];
+ vX_[839] = vX_[861] * vX_[216];
+ vX_[829] = vX_[762] * vX_[0] + vX_[763] * vX_[215];
+ vX_[817] = 0 - (vX_[829] * vX_[214] + vX_[814] * vX_[216]);
+ vX_[815] = vX_[759] * vX_[0];
+ vX_[859] = 0 - vX_[815];
+ vX_[842] = vX_[760] * vX_[0];
+ vX_[833] = vX_[759] * vX_[215];
+ vX_[826] = vX_[758] - vX_[833] - vX_[842];
+ vX_[824] = 0 - vX_[842] + vX_[826];
+ vX_[811] = 0 - vX_[829];
+ vX_[810] = 0 - vX_[834];
+ vX_[799] = 0 - vX_[723];
+ vX_[854] = 0 - vX_[751];
+ vX_[843] = vX_[856] + vX_[840] + vX_[843] + vX_[819];
+ vX_[843] = vX_[797] * vX_[127] + vX_[823] * vX_[98] + vX_[845] * vX_[256] + vX_[838] * vX_[266] +
+ vX_[830] * vX_[258] + vX_[818] * vX_[261] + vX_[843] * vX_[255] + vX_[843] * vX_[255];
+ jac[106] = vX_[850] * vX_[339] + vX_[847] * vX_[256] + vX_[836] * vX_[336] + vX_[813] * vX_[258] + vX_[843];
+ vX_[768] = (0 - vX_[768]) * -0.002752 + (0 - vX_[764]) * 0.012390532 + (0 - vX_[766]) * 0.0055279857;
+ vX_[836] = vX_[764] * -0.022851627;
+ vX_[828] = 0 - vX_[828] - vX_[836];
+ vX_[813] = vX_[754] + vX_[764] * vX_[232] + vX_[766] * vX_[198];
+ vX_[828] = vX_[843] + vX_[768] * x_in[7] + vX_[831] * vX_[250] + vX_[828] * vX_[253] + vX_[828] * vX_[253] -
+ vX_[813] * x_in[7];
+ jac[82] = vX_[857] * vX_[215] + vX_[828] * vX_[0];
+ vX_[843] = 0 - vX_[849];
+ vX_[831] = vX_[841] * vX_[214];
+ vX_[850] = 0 - vX_[839];
+ vX_[847] = vX_[760] * vX_[215];
+ vX_[826] = vX_[833] - vX_[826];
+ jac[22] =
+ 0 -
+ ((vX_[681] * vX_[1] + vX_[747] * vX_[151] + vX_[752] * vX_[238]) * 9.81 + vX_[754] * vX_[355] +
+ vX_[757] * vX_[254] + vX_[758] * vX_[356] + vX_[759] * vX_[352] + vX_[760] * vX_[272] +
+ vX_[761] * vX_[244] + vX_[762] * vX_[243] + vX_[763] * vX_[228] + vX_[857] * x_in[6] +
+ (vX_[861] * vX_[241] + vX_[814] * vX_[224] + vX_[849] * vX_[240] + vX_[839] * vX_[222] +
+ vX_[817] * vX_[223] + vX_[859] * vX_[271] + vX_[824] * vX_[353] + vX_[811] * vX_[227] +
+ vX_[810] * vX_[195]) *
+ -1 * 0.178) *
+ vX_[396] +
+ ((vX_[640] * vX_[682] + vX_[701] * vX_[98] + vX_[799] * vX_[110] + vX_[854] * vX_[204]) * 9.81 +
+ vX_[702] * vX_[355] + vX_[756] * vX_[257] + vX_[758] * vX_[260] + vX_[759] * vX_[273] +
+ vX_[760] * vX_[354] + vX_[761] * vX_[247] + vX_[762] * vX_[228] + vX_[763] * vX_[246] + vX_[828] * x_in[6] -
+ (vX_[829] * vX_[224] + vX_[853] * vX_[184] + vX_[841] * vX_[233] + vX_[843] * vX_[235] +
+ vX_[831] * vX_[223] + vX_[850] * vX_[240] + vX_[847] * vX_[353] + vX_[826] * vX_[271] +
+ vX_[829] * vX_[213] + vX_[841] * vX_[229]) *
+ 0.178) *
+ vX_[415];
+ vX_[828] = 0.089360784736445 * vX_[10] + -0.00161690201573785 * vX_[8];
+ vX_[853] = vX_[828] * 1 / vX_[29];
+ vX_[814] = 0 - vX_[853];
+ vX_[861] = vX_[814] * vX_[19];
+ vX_[857] = 0 - vX_[853];
+ vX_[756] = -4.17019241133987 * vX_[8] + vX_[857] * vX_[12];
+ vX_[763] = 0 - vX_[853];
+ vX_[762] = -1 + -4.17019241133987 * vX_[303] + vX_[763] * vX_[56];
+ vX_[761] = 0 - vX_[853];
+ vX_[760] = 0.089360784736445 * vX_[8] + -0.00161690201573785 * vX_[9] + vX_[761] * vX_[50];
+ vX_[759] = vX_[861] * vX_[46] + vX_[756] * vX_[289] + vX_[762] * vX_[32] + vX_[760] * vX_[7];
+ vX_[758] = vX_[759] * 1 / vX_[83];
+ vX_[757] = 0 - vX_[758];
+ vX_[702] = vX_[861] * vX_[6] + vX_[756] * vX_[32] + vX_[757] * vX_[68];
+ vX_[754] = 0 - vX_[853];
+ vX_[818] = 0 - vX_[758];
+ vX_[830] = -4.17019241133987 * vX_[294] + vX_[754] * vX_[36] + vX_[818] * vX_[107];
+ vX_[838] = 0 - vX_[758];
+ vX_[845] = vX_[861] * vX_[45] + vX_[756] * vX_[290] + vX_[762] * vX_[6] + vX_[760] * vX_[32] + vX_[838] * vX_[101];
+ vX_[856] = 0 - vX_[853];
+ vX_[828] = vX_[828] + vX_[856] * vX_[29] + (0 - vX_[758]) * -0.00021200017;
+ vX_[819] = vX_[845] * vX_[127] + vX_[828] * vX_[98];
+ vX_[840] = vX_[819] * 1 / vX_[148];
+ vX_[852] = 0 - vX_[840];
+ vX_[800] = vX_[702] * vX_[98] + vX_[830] * vX_[3] + vX_[852] * vX_[146];
+ vX_[798] = 0 - vX_[758];
+ vX_[816] = vX_[861] * vX_[32] + vX_[756] * vX_[291] + vX_[798] * vX_[69];
+ vX_[862] = 0 - vX_[840];
+ vX_[863] = vX_[816] * -1 + vX_[862] * vX_[164];
+ vX_[864] = 0 - vX_[840];
+ vX_[816] = vX_[816] * -0.304 + vX_[845] * vX_[98] + vX_[828] * vX_[3] + vX_[864] * vX_[143];
+ vX_[865] = 0 - vX_[758];
+ vX_[866] = 0 - vX_[840];
+ vX_[759] = vX_[702] * vX_[269] + vX_[830] * vX_[4] + (vX_[759] + vX_[865] * vX_[83]) * -1 + vX_[866] * vX_[157];
+ vX_[867] = (vX_[800] * vX_[153] + vX_[863] * vX_[265] + vX_[816] * vX_[151] + vX_[759] * vX_[2]) * 1 / vX_[196];
+ vX_[868] = 0 - vX_[867];
+ vX_[869] = 0 - vX_[867];
+ vX_[870] =
+ vX_[800] * vX_[152] + vX_[863] * vX_[264] + vX_[816] * vX_[1] + vX_[759] * vX_[151] + vX_[869] * vX_[194];
+ vX_[871] = 0 - vX_[840];
+ vX_[819] = vX_[819] + vX_[871] * vX_[148] + (0 - vX_[867]) * -0.022851627;
+ vX_[242] = (vX_[870] * vX_[215] + vX_[819] * vX_[0]) * 1 / vX_[242];
+ vX_[872] = 0 - vX_[242];
+ vX_[873] = (0 - vX_[242]) * 9.81;
+ vX_[874] = vX_[873] * vX_[215];
+ vX_[875] = vX_[873] * vX_[0];
+ vX_[876] = 0 - vX_[242] * vX_[355];
+ vX_[877] = vX_[876] * vX_[215];
+ vX_[878] = vX_[876] * vX_[0];
+ vX_[879] = vX_[872] * vX_[215];
+ vX_[880] = vX_[879] * 1 / vX_[196];
+ vX_[242] = 0 - vX_[242];
+ vX_[881] = vX_[242] * vX_[0];
+ vX_[882] = vX_[881] * 1 / vX_[196];
+ vX_[883] = vX_[867] + vX_[880] * vX_[194] + vX_[882] * -0.022851627;
+ vX_[884] = 0 - vX_[883];
+ vX_[885] = vX_[884] * vX_[153] + vX_[879] * vX_[152];
+ vX_[886] = 0 - vX_[883];
+ vX_[887] = vX_[886] * vX_[2] + vX_[879] * vX_[151];
+ vX_[888] = vX_[885] * vX_[3] + vX_[887] * vX_[4];
+ vX_[889] = 0 - vX_[883];
+ vX_[890] = vX_[889] * vX_[265] + vX_[879] * vX_[264];
+ vX_[891] = 0 - vX_[883];
+ vX_[892] = vX_[891] * vX_[151] + vX_[879] * vX_[1];
+ vX_[893] = vX_[890] * -1 + vX_[892] * -0.304;
+ vX_[894] = vX_[885] * vX_[98] + vX_[887] * vX_[269];
+ vX_[895] = vX_[887] * -1;
+ vX_[896] = vX_[893] * 1 / vX_[83];
+ vX_[897] = vX_[894] * 1 / vX_[83];
+ vX_[898] = vX_[888] * 1 / vX_[83];
+ vX_[899] = vX_[895] * 1 / vX_[83];
+ vX_[900] = vX_[885] * 1 / vX_[148];
+ vX_[901] = vX_[890] * 1 / vX_[148];
+ vX_[902] = vX_[881] * 1 / vX_[148];
+ vX_[903] = vX_[892] * 1 / vX_[148];
+ vX_[904] = vX_[887] * 1 / vX_[148];
+ vX_[905] = vX_[881] - (vX_[840] + vX_[900] * vX_[146] + vX_[901] * vX_[164] + vX_[902] * vX_[148] +
+ vX_[903] * vX_[143] + vX_[904] * vX_[157]);
+ vX_[906] = vX_[905] * vX_[127] + vX_[892] * vX_[98];
+ vX_[907] = vX_[906] * 1 / vX_[83];
+ vX_[908] = vX_[905] * vX_[98] + vX_[892] * vX_[3];
+ vX_[909] = vX_[908] * 1 / vX_[83];
+ vX_[895] = vX_[895] - (vX_[758] + vX_[896] * vX_[69] + vX_[897] * vX_[68] + vX_[898] * vX_[107] +
+ vX_[899] * vX_[83] + vX_[907] * vX_[101] + vX_[909] * -0.00021200017);
+ vX_[910] = vX_[893] * vX_[291] + vX_[894] * vX_[32] + vX_[895] * vX_[289] + vX_[906] * vX_[290];
+ vX_[911] = vX_[895] * vX_[32] + vX_[906] * vX_[6];
+ vX_[912] = vX_[888] * vX_[8] + vX_[910] * vX_[9] + vX_[911] * vX_[17];
+ vX_[913] = vX_[912] * 1.547475;
+ vX_[914] = vX_[888] * vX_[294] + vX_[910] * vX_[8] + vX_[911] * vX_[303];
+ vX_[915] = vX_[914] * -1.547475;
+ vX_[916] = vX_[888] * 1 / vX_[29];
+ vX_[917] = vX_[893] * vX_[32] + vX_[894] * vX_[6] + vX_[895] * vX_[46] + vX_[906] * vX_[45];
+ vX_[918] = vX_[917] * 1 / vX_[29];
+ vX_[919] = vX_[910] * 1 / vX_[29];
+ vX_[920] = vX_[908] * 1 / vX_[29];
+ vX_[921] = vX_[911] * 1 / vX_[29];
+ vX_[922] = vX_[895] * vX_[7] + vX_[906] * vX_[32];
+ vX_[923] = vX_[922] * 1 / vX_[29];
+ vX_[924] = vX_[908] - (vX_[853] + vX_[916] * vX_[36] + vX_[918] * vX_[19] + vX_[919] * vX_[12] +
+ vX_[920] * vX_[29] + vX_[921] * vX_[56] + vX_[923] * vX_[50]);
+ vX_[925] = vX_[924] * vX_[10] + vX_[922] * vX_[8];
+ vX_[926] = vX_[924] * vX_[8] + vX_[922] * vX_[9];
+ vX_[927] = vX_[911] -
+ (107.793467715856 + vX_[914] * 107.793467715856 * 0.038686875 + vX_[911] * 107.793467715856 * 0.009277 +
+ vX_[925] * 107.793467715856 * -0.000829 + vX_[926] * 107.793467715856 * 1.5e-05);
+ vX_[928] = vX_[927] * 0.038686875;
+ vX_[929] = vX_[915] - vX_[928];
+ vX_[930] = vX_[913] * vX_[286] + vX_[929] * vX_[285];
+ vX_[931] = vX_[910] * 2.1032 + vX_[911] * 0.057838;
+ vX_[932] = 0 - vX_[931];
+ vX_[933] = vX_[888] * 2.1032;
+ vX_[934] = vX_[756] + vX_[888] * vX_[88] + vX_[917] * vX_[31] + vX_[910] * vX_[35] + vX_[911] * vX_[49] +
+ vX_[922] * vX_[62];
+ vX_[935] = vX_[930] + vX_[932] * vX_[278] + vX_[933] * vX_[283] + vX_[934] * x_in[10];
+ vX_[936] = 0 - vX_[913];
+ vX_[937] = vX_[917] + vX_[924] * 0.02075 + vX_[922] * -0.184;
+ vX_[938] = vX_[937] * 1.547475 + (0 - vX_[925]) * 0.038686875;
+ vX_[939] = vX_[912] * 1.547475;
+ vX_[940] = vX_[936] * vX_[288] + vX_[938] * vX_[285] + vX_[939] * x_in[11];
+ vX_[928] = 0 - vX_[915] + vX_[928];
+ vX_[915] = 0 - vX_[938];
+ vX_[941] = -4.17019241133987 + vX_[914] * 1.38614328745655 + vX_[925] * 0.00345708950900075 +
+ vX_[926] * -6.25528861700981e-05;
+ vX_[942] = vX_[928] * vX_[288] + vX_[915] * vX_[286] - vX_[941] * x_in[11];
+ vX_[943] = vX_[917] * -2.1032 + vX_[922] * 0.057838;
+ vX_[944] = 0 - vX_[943];
+ vX_[945] = 0 - vX_[933];
+ vX_[946] = vX_[861] + vX_[888] * vX_[90] + vX_[917] * vX_[33] + vX_[910] * vX_[31] + vX_[911] * vX_[57] +
+ vX_[922] * vX_[51];
+ vX_[947] = vX_[940] * vX_[8] + vX_[942] * vX_[9] + vX_[944] * vX_[278] + vX_[945] * vX_[276] - vX_[946] * x_in[10];
+ vX_[948] = vX_[888] * 1.7423722 + (0 - vX_[895]) * -0.008711861 + vX_[906] * 1.52322944854339e-09;
+ vX_[949] = 0 - vX_[948];
+ vX_[950] = vX_[893] * 1.7423722 + (0 - vX_[906]) * 0.160298259823722 + vX_[908] * -0.008711861;
+ vX_[951] = vX_[830] + vX_[893] * vX_[108] + vX_[894] * vX_[135] + vX_[888] * vX_[121] + vX_[906] * vX_[95] +
+ vX_[908] * vX_[114];
+ vX_[952] = vX_[935] * vX_[6] + vX_[947] * vX_[32] + vX_[949] * vX_[268] + vX_[950] * vX_[274] + vX_[951] * x_in[9];
+ vX_[953] = vX_[894] * -1.7423722;
+ vX_[954] = vX_[895] * 0.160298259823722;
+ vX_[955] = vX_[908] * 1.52322944854339e-09;
+ vX_[956] = 0 - vX_[953] + vX_[954] - vX_[955];
+ vX_[957] = 0 - vX_[950];
+ vX_[958] = vX_[702] + vX_[893] * vX_[85] + vX_[894] * vX_[134] + vX_[888] * vX_[135] + vX_[906] * vX_[102] +
+ vX_[908] * vX_[93];
+ vX_[294] = vX_[940] * vX_[294] + vX_[942] * vX_[8] + vX_[931] * vX_[276] + vX_[943] * vX_[283] +
+ vX_[956] * vX_[268] + vX_[957] * vX_[263] - vX_[958] * x_in[9];
+ vX_[959] = 0 - (vX_[890] * 2.327 + (0 - vX_[905]) * 0.01438086 + vX_[892] * 0.647967112);
+ vX_[960] = (0 - vX_[892]) * -0.0055615274403 + vX_[887] * 0.01438086;
+ vX_[961] = vX_[863] + vX_[885] * vX_[168] + vX_[890] * vX_[185] + vX_[892] * vX_[175] + vX_[887] * vX_[166];
+ vX_[962] = vX_[952] * vX_[98] + vX_[294] * vX_[3] + vX_[959] * vX_[255] + vX_[960] * vX_[261] + vX_[961] * x_in[8];
+ vX_[955] = vX_[953] - vX_[954] + vX_[955];
+ vX_[954] = vX_[935] * vX_[32] + vX_[947] * vX_[291] + vX_[948] * vX_[263] + vX_[955] * vX_[274];
+ vX_[953] = vX_[905] * -0.0055615274403 - (vX_[885] * -2.327 + vX_[887] * 0.647967112);
+ vX_[963] = 0 - vX_[960];
+ vX_[964] = vX_[800] + vX_[885] * vX_[182] + vX_[890] * vX_[168] + vX_[892] * vX_[150] + vX_[887] * vX_[174];
+ vX_[965] = vX_[954] * -1 + vX_[953] * vX_[255] + vX_[963] * vX_[258] - vX_[964] * x_in[8];
+ vX_[966] = (0 - vX_[927]) * 1.5e-05 + vX_[925] * 0.000198 + vX_[926] * 0.00605;
+ vX_[967] = vX_[937] * 0.038686875 + vX_[927] * -0.000829 + (0 - vX_[925]) * -0.00146 + (0 - vX_[926]) * 0.000198;
+ vX_[912] = (0 - vX_[912]) * 0.038686875;
+ vX_[968] = vX_[925] * 1.5e-05;
+ vX_[969] = (0 - vX_[926]) * -0.000829;
+ vX_[970] = vX_[912] + vX_[968] + vX_[969];
+ vX_[970] = vX_[936] * vX_[309] + vX_[928] * vX_[293] + vX_[966] * vX_[286] + vX_[967] * vX_[285] +
+ vX_[970] * vX_[288] + vX_[970] * vX_[288];
+ vX_[928] = vX_[917] * 0.057838 + (0 - vX_[924]) * -0.012652 + vX_[911] * -0.001387 + vX_[922] * -0.018069;
+ vX_[936] = vX_[924] * 0.009683 + (0 - vX_[911]) * -0.001243 + vX_[922] * -0.012652;
+ vX_[971] = (0 - vX_[888]) * 0.057838;
+ vX_[972] = (0 - vX_[924]) * -0.001387;
+ vX_[973] = (0 - vX_[922]) * -0.001243;
+ vX_[974] = vX_[971] + vX_[972] - vX_[973];
+ vX_[91] = vX_[760] + vX_[888] * vX_[91] + vX_[917] * vX_[51] + vX_[910] * vX_[62] + vX_[911] * vX_[75] +
+ vX_[922] * vX_[28];
+ vX_[974] = vX_[970] + vX_[940] * vX_[303] + vX_[942] * vX_[17] + vX_[931] * vX_[277] + vX_[945] * vX_[292] +
+ vX_[928] * vX_[278] + vX_[936] * vX_[283] + vX_[974] * vX_[276] + vX_[974] * vX_[276] +
+ vX_[91] * x_in[10];
+ vX_[945] = vX_[914] * 0.038686875 + vX_[927] * -0.00751 + (0 - vX_[925]) * -0.000829 + vX_[926] * 1.5e-05;
+ vX_[927] = (0 - vX_[927]) * 0.000198;
+ vX_[969] = vX_[912] + vX_[927] - vX_[969];
+ vX_[912] = -0.00161690201573785 + vX_[914] * -6.25528861700981e-05 + vX_[925] * 0.000199340411771047 +
+ vX_[926] * 0.0107369757464698;
+ vX_[969] = vX_[913] * vX_[295] + vX_[915] * vX_[293] + vX_[966] * vX_[288] + vX_[945] * vX_[285] +
+ vX_[969] * vX_[286] + vX_[969] * vX_[286] + vX_[912] * x_in[11];
+ vX_[927] = 0 - vX_[927] - vX_[968];
+ vX_[937] = 0.089360784736445 + vX_[937] * -0.038686875 + vX_[914] * 0.00345708950900075 +
+ vX_[925] * 0.00315291990945349 + vX_[926] * 0.000199340411771047;
+ jac[143] = vX_[941] * vX_[307] + vX_[939] * vX_[309] + vX_[937] * vX_[304] + vX_[912] * vX_[286] + vX_[970];
+ vX_[937] = vX_[929] * vX_[295] + vX_[938] * vX_[309] + vX_[967] * vX_[288] + vX_[945] * vX_[286] +
+ vX_[927] * vX_[285] + vX_[927] * vX_[285] - vX_[937] * x_in[11];
+ vX_[927] = vX_[910] * 0.057838 + vX_[924] * -0.001243 + (0 - vX_[911]) * -0.008386 + (0 - vX_[922]) * -0.001387;
+ vX_[945] = vX_[911] * -0.012652;
+ vX_[972] = vX_[971] - vX_[972] - vX_[945];
+ vX_[87] = vX_[762] + vX_[888] * vX_[87] + vX_[917] * vX_[57] + vX_[910] * vX_[49] + vX_[911] * vX_[22] +
+ vX_[922] * vX_[75];
+ vX_[972] = vX_[930] * -0.184 + vX_[969] * vX_[8] + vX_[937] * vX_[9] + vX_[943] * vX_[277] + vX_[933] * vX_[279] +
+ vX_[927] * vX_[278] + vX_[936] * vX_[276] + vX_[972] * vX_[283] + vX_[972] * vX_[283] -
+ vX_[87] * x_in[10];
+ vX_[936] = vX_[893] * -0.008711861 + vX_[894] * 1.52322944854339e-09 + (0 - vX_[895]) * -0.00021200017 +
+ vX_[906] * 0.0036857284 + vX_[908] * 0.077424;
+ vX_[943] = vX_[894] * 0.160298259823722 + vX_[888] * -0.008711861 + vX_[895] * -0.06337651 +
+ (0 - vX_[906]) * -0.0022920002 + vX_[908] * -0.00021200017;
+ vX_[933] = (0 - vX_[893]) * 1.52322944854339e-09;
+ vX_[22] = (0 - vX_[888]) * 0.160298259823722;
+ vX_[75] = (0 - vX_[895]) * 0.0036857284;
+ vX_[49] = (0 - vX_[908]) * -0.0022920002;
+ vX_[971] = vX_[933] + vX_[22] + vX_[75] - vX_[49];
+ vX_[130] = vX_[828] + vX_[893] * vX_[106] + vX_[894] * vX_[93] + vX_[888] * vX_[114] + vX_[906] * vX_[120] +
+ vX_[908] * vX_[130];
+ vX_[971] = vX_[935] * vX_[45] + vX_[947] * vX_[290] + vX_[974] * vX_[6] + vX_[972] * vX_[32] + vX_[948] * vX_[267] +
+ vX_[957] * vX_[277] + vX_[936] * vX_[268] + vX_[943] * vX_[274] + vX_[971] * vX_[263] +
+ vX_[971] * vX_[263] + vX_[130] * x_in[9];
+ vX_[945] = vX_[945] + vX_[973];
+ vX_[945] = vX_[930] * 0.02075 + vX_[969] * vX_[10] + vX_[937] * vX_[8] + vX_[932] * vX_[279] + vX_[944] * vX_[292] +
+ vX_[928] * vX_[276] + vX_[927] * vX_[283] + vX_[945] * vX_[278] + vX_[945] * vX_[278];
+ jac[131] = vX_[946] * vX_[315] + vX_[934] * vX_[279] + vX_[87] * vX_[312] + vX_[91] * vX_[276] + vX_[945];
+ vX_[87] = vX_[893] * 0.160298259823722 + vX_[888] * 1.52322944854339e-09 + vX_[895] * -0.0022920002 +
+ (0 - vX_[906]) * 0.01404749 + (0 - vX_[908]) * 0.0036857284;
+ vX_[91] = (0 - vX_[894]) * -0.008711861;
+ vX_[946] = vX_[906] * -0.00021200017;
+ vX_[75] = vX_[933] + vX_[91] - vX_[75] - vX_[946];
+ vX_[131] = vX_[845] + vX_[893] * vX_[124] + vX_[894] * vX_[102] + vX_[888] * vX_[95] + vX_[906] * vX_[131] +
+ vX_[908] * vX_[120];
+ vX_[75] = vX_[945] + vX_[955] * vX_[267] + vX_[950] * vX_[270] + vX_[87] * vX_[268] + vX_[943] * vX_[263] +
+ vX_[75] * vX_[274] + vX_[75] * vX_[274] - vX_[131] * x_in[9];
+ vX_[945] =
+ vX_[885] * 0.647967112 + (0 - vX_[905]) * -0.011715295 + vX_[892] * 5.399998e-05 + vX_[887] * -0.199538951;
+ vX_[943] = vX_[885] * -0.0055615274403 + vX_[890] * 0.01438086 + vX_[905] * 0.00750500000000001 +
+ (0 - vX_[892]) * -0.0037997814 + vX_[887] * -0.011715295;
+ vX_[955] = (0 - vX_[890]) * -0.0055615274403;
+ vX_[950] = (0 - vX_[905]) * 5.399998e-05;
+ vX_[120] = (0 - vX_[887]) * -0.0037997814;
+ vX_[933] = vX_[955] + vX_[950] - vX_[120];
+ vX_[172] = vX_[759] + vX_[885] * vX_[174] + vX_[890] * vX_[166] + vX_[892] * vX_[159] + vX_[887] * vX_[172];
+ vX_[933] = vX_[954] * -0.304 + vX_[971] * vX_[98] + vX_[75] * vX_[3] + vX_[963] * vX_[266] + vX_[945] * vX_[255] +
+ vX_[943] * vX_[261] + vX_[933] * vX_[258] + vX_[933] * vX_[258] + vX_[172] * x_in[8];
+ vX_[946] = vX_[91] + vX_[22] + vX_[946] + vX_[49];
+ vX_[946] = vX_[935] * vX_[46] + vX_[947] * vX_[289] + vX_[974] * vX_[32] + vX_[972] * vX_[7] + vX_[949] * vX_[270] +
+ vX_[956] * vX_[277] + vX_[936] * vX_[263] + vX_[87] * vX_[274] + vX_[946] * vX_[268] +
+ vX_[946] * vX_[268];
+ jac[119] = vX_[958] * vX_[287] + vX_[951] * vX_[270] + vX_[131] * vX_[280] + vX_[130] * vX_[263] + vX_[946];
+ vX_[131] = vX_[890] * 0.647967112 + vX_[905] * -0.0037997814 + (0 - vX_[892]) * -0.192033951 +
+ (0 - vX_[887]) * 5.399998e-05;
+ vX_[130] = (0 - vX_[885]) * 0.01438086;
+ vX_[958] = vX_[892] * -0.011715295;
+ vX_[950] = vX_[130] - vX_[950] - vX_[958];
+ vX_[175] = vX_[816] + vX_[885] * vX_[150] + vX_[890] * vX_[175] + vX_[892] * vX_[173] + vX_[887] * vX_[159];
+ vX_[950] = vX_[952] * vX_[269] + vX_[294] * vX_[4] + vX_[946] * -1 + vX_[960] * vX_[256] + vX_[131] * vX_[255] +
+ vX_[943] * vX_[258] + vX_[950] * vX_[261] + vX_[950] * vX_[261] - vX_[175] * x_in[8];
+ vX_[946] = (0 - vX_[883]) * 0.046852534 + (0 - vX_[879]) * -0.002752 + vX_[881] * -0.022851627;
+ vX_[943] = vX_[883] * 0.0055279857;
+ vX_[960] = (0 - vX_[881]) * -0.002752;
+ vX_[173] = vX_[943] - vX_[960];
+ vX_[231] = vX_[819] + vX_[879] * vX_[198] + vX_[881] * vX_[231] + vX_[883] * -0.022851627 +
+ vX_[879] * 0.0055279857 + vX_[881] * -0.034462002;
+ vX_[173] = vX_[962] * vX_[152] + vX_[965] * vX_[264] + vX_[933] * vX_[1] + vX_[950] * vX_[151] +
+ vX_[946] * vX_[253] + vX_[173] * vX_[250] + vX_[173] * vX_[250] + vX_[231] * x_in[7];
+ vX_[159] = vX_[877] * vX_[215];
+ vX_[951] = vX_[878] * vX_[0];
+ vX_[287] = vX_[876] - vX_[159] - vX_[951];
+ vX_[280] = 0 - vX_[951];
+ vX_[87] = 0 - vX_[287];
+ vX_[936] = vX_[87] * vX_[214];
+ vX_[956] = vX_[287] * vX_[216];
+ vX_[949] = vX_[877] * vX_[0] + vX_[878] * vX_[215];
+ vX_[274] = 0 - (vX_[949] * vX_[214] + vX_[280] * vX_[216]);
+ vX_[91] = vX_[874] * vX_[0];
+ vX_[49] = 0 - vX_[91];
+ vX_[22] = vX_[875] * vX_[0];
+ vX_[963] = vX_[874] * vX_[215];
+ vX_[954] = vX_[873] - vX_[963] - vX_[22];
+ vX_[174] = 0 - vX_[22] + vX_[954];
+ vX_[934] = 0 - vX_[949];
+ vX_[315] = 0 - vX_[951];
+ vX_[312] = 0 - vX_[840];
+ vX_[279] = 0 - vX_[867];
+ vX_[958] = vX_[130] + vX_[955] + vX_[958] + vX_[120];
+ vX_[958] = vX_[971] * vX_[127] + vX_[75] * vX_[98] + vX_[959] * vX_[256] + vX_[953] * vX_[266] +
+ vX_[945] * vX_[258] + vX_[131] * vX_[261] + vX_[958] * vX_[255] + vX_[958] * vX_[255];
+ jac[107] = vX_[964] * vX_[339] + vX_[961] * vX_[256] + vX_[175] * vX_[336] + vX_[172] * vX_[258] + vX_[958];
+ vX_[883] = (0 - vX_[883]) * -0.002752 + (0 - vX_[879]) * 0.012390532 + (0 - vX_[881]) * 0.0055279857;
+ vX_[175] = vX_[879] * -0.022851627;
+ vX_[943] = 0 - vX_[943] - vX_[175];
+ vX_[232] = vX_[870] + vX_[879] * vX_[232] + vX_[881] * vX_[198];
+ vX_[943] = vX_[958] + vX_[883] * x_in[7] + vX_[946] * vX_[250] + vX_[943] * vX_[253] + vX_[943] * vX_[253] -
+ vX_[232] * x_in[7];
+ jac[83] = vX_[173] * vX_[215] + vX_[943] * vX_[0];
+ vX_[958] = 0 - vX_[936];
+ vX_[946] = vX_[159] * vX_[214];
+ vX_[198] = 0 - vX_[956];
+ vX_[172] = vX_[875] * vX_[215];
+ vX_[954] = vX_[963] - vX_[954];
+ jac[23] =
+ 0 -
+ ((vX_[800] * vX_[1] + vX_[863] * vX_[151] + vX_[868] * vX_[238]) * 9.81 + vX_[870] * vX_[355] +
+ vX_[872] * vX_[254] + vX_[873] * vX_[356] + vX_[874] * vX_[352] + vX_[875] * vX_[272] +
+ vX_[876] * vX_[244] + vX_[877] * vX_[243] + vX_[878] * vX_[228] + vX_[173] * x_in[6] +
+ (vX_[287] * vX_[241] + vX_[280] * vX_[224] + vX_[936] * vX_[240] + vX_[956] * vX_[222] +
+ vX_[274] * vX_[223] + vX_[49] * vX_[271] + vX_[174] * vX_[353] + vX_[934] * vX_[227] +
+ vX_[315] * vX_[195]) *
+ -1 * 0.178) *
+ vX_[396] +
+ ((vX_[702] * vX_[682] + vX_[830] * vX_[98] + vX_[312] * vX_[110] + vX_[279] * vX_[204]) * 9.81 +
+ vX_[819] * vX_[355] + vX_[242] * vX_[257] + vX_[873] * vX_[260] + vX_[874] * vX_[273] +
+ vX_[875] * vX_[354] + vX_[876] * vX_[247] + vX_[877] * vX_[228] + vX_[878] * vX_[246] + vX_[943] * x_in[6] -
+ (vX_[949] * vX_[224] + vX_[87] * vX_[184] + vX_[159] * vX_[233] + vX_[958] * vX_[235] +
+ vX_[946] * vX_[223] + vX_[198] * vX_[240] + vX_[172] * vX_[353] + vX_[954] * vX_[271] +
+ vX_[949] * vX_[213] + vX_[159] * vX_[229]) *
+ 0.178) *
+ vX_[415];
+ vX_[440] = vX_[440] * vX_[214];
+ vX_[436] = vX_[436] * vX_[216];
+ vX_[943] = vX_[440] - vX_[436];
+ vX_[423] = vX_[456] * vX_[216] + vX_[423] * vX_[214];
+ vX_[421] = vX_[444] * vX_[214] + vX_[421] * vX_[216];
+ vX_[456] = 0 - vX_[421];
+ vX_[87] = vX_[943] * vX_[1];
+ vX_[280] = vX_[943] * vX_[151];
+ vX_[287] = 0 - vX_[423];
+ vX_[173] = 0 - vX_[440];
+ vX_[447] = vX_[446] * vX_[216] + vX_[447] * vX_[214];
+ vX_[446] = 0 - vX_[447];
+ vX_[242] = 0 - vX_[430];
+ vX_[878] = (vX_[173] * vX_[238] + vX_[446] * vX_[204] + vX_[242] * vX_[194] + (0 - vX_[412]) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[173] = vX_[287] * vX_[212] + vX_[173] * vX_[239] + vX_[878];
+ vX_[408] = vX_[408] * vX_[216] + vX_[438] * vX_[214] * 2.;
+ vX_[877] = vX_[408] * vX_[151] + vX_[430] * vX_[1];
+ vX_[876] = vX_[408] * vX_[2] + vX_[430] * vX_[151];
+ vX_[407] = vX_[426] * vX_[214] + vX_[407] * vX_[216] * 2.;
+ vX_[875] = 0 - vX_[421];
+ vX_[874] = 0 - vX_[436];
+ vX_[873] = 0 - vX_[444];
+ vX_[439] = (vX_[874] * vX_[204] + vX_[873] * vX_[194] + (0 - vX_[439]) * -0.022851627) * 1 / vX_[196];
+ vX_[874] = vX_[407] - (vX_[875] * vX_[212] + vX_[446] * vX_[239] + vX_[874] * vX_[236] + vX_[439]);
+ vX_[438] = vX_[438] + vX_[361] * vX_[343];
+ vX_[431] = vX_[431] + vX_[363] * vX_[251];
+ vX_[446] = vX_[438] - vX_[431];
+ vX_[872] = 0 - vX_[408];
+ vX_[438] = 0 - vX_[438];
+ vX_[426] = (vX_[438] * vX_[194] + (0 - (vX_[426] + vX_[361] * vX_[251] + vX_[363] * vX_[343])) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[438] = vX_[362] * vX_[259] + vX_[872] * vX_[212] + vX_[242] * vX_[239] + vX_[873] * vX_[236] +
+ vX_[438] * vX_[197] + vX_[426];
+ vX_[873] = vX_[446] * vX_[1];
+ vX_[242] = vX_[446] * vX_[151];
+ vX_[428] = vX_[428] * vX_[214] + vX_[414] * vX_[216];
+ vX_[414] = 0 - vX_[428];
+ vX_[872] = (vX_[414] * vX_[211] + vX_[287] * vX_[238] + vX_[875] * vX_[204] + vX_[872] * vX_[194] +
+ (0 - vX_[407]) * -0.022851627) *
+ 1 / vX_[196];
+ vX_[426] = 0 - vX_[431] + 0 - vX_[362] * vX_[305] - vX_[364] * vX_[360] - vX_[872] * vX_[212] -
+ vX_[878] * vX_[239] - vX_[439] * vX_[236] - vX_[426] * vX_[197] -
+ (0 - vX_[431]) * -0.022851627 * 1 / vX_[196] * vX_[245];
+ vX_[439] = vX_[426] * vX_[151] + vX_[438] * vX_[1];
+ vX_[878] = vX_[426] * vX_[2] + vX_[438] * vX_[151];
+ vX_[364] = vX_[878] + vX_[873];
+ vX_[362] = vX_[439] * vX_[2] + vX_[364] * vX_[151] + vX_[242] * vX_[1];
+ vX_[875] = 0 - vX_[362];
+ vX_[287] = vX_[431] + vX_[439] * vX_[151] + vX_[873] * vX_[1];
+ vX_[363] = 0 - vX_[287];
+ vX_[431] = vX_[431] + vX_[878] * vX_[2] + vX_[242] * vX_[151];
+ vX_[444] = vX_[444] - vX_[412];
+ vX_[819] = vX_[407] * vX_[151] + vX_[412] * vX_[1] - (vX_[444] * vX_[2] + vX_[874] * vX_[151]);
+ vX_[870] = 0 - vX_[819];
+ vX_[415] = vX_[412] + vX_[444];
+ vX_[396] = vX_[407] * vX_[2] + vX_[415] * vX_[151] + vX_[874] * vX_[1];
+ vX_[872] = vX_[414] * vX_[212] + vX_[872];
+ vX_[414] = vX_[173] * vX_[151] + vX_[872] * vX_[2];
+ vX_[260] = vX_[414] * vX_[151] + vX_[876] * vX_[1];
+ vX_[354] = 0 - (vX_[260] + vX_[363] * vX_[154]);
+ vX_[257] = vX_[173] * vX_[1] + vX_[872] * vX_[151];
+ vX_[272] = vX_[257] * vX_[2] + vX_[877] * vX_[151];
+ vX_[356] = vX_[272] + vX_[431] * vX_[154];
+ vX_[352] = vX_[257] * vX_[151] + vX_[877] * vX_[1];
+ vX_[353] = vX_[414] * vX_[2] + vX_[876] * vX_[151];
+ vX_[273] = 0 - vX_[352] + vX_[353] + vX_[875] * vX_[154];
+ vX_[271] = 0 - vX_[362];
+ vX_[254] = 0 - vX_[287];
+ vX_[363] = vX_[875] * vX_[169] + vX_[363] * vX_[186] + vX_[431] * vX_[147] + vX_[870] * vX_[200] +
+ vX_[396] * vX_[202] + vX_[354] * vX_[185] + vX_[356] * vX_[182] + vX_[273] * vX_[168] +
+ vX_[362] * vX_[150] + vX_[271] * vX_[166] + vX_[254] * vX_[176] + vX_[431] * vX_[190];
+ vX_[875] = vX_[428] - vX_[436];
+ vX_[247] = vX_[875] * vX_[151] + vX_[423] * vX_[1];
+ vX_[246] = vX_[875] * vX_[2] + vX_[423] * vX_[151];
+ vX_[195] = sin(x_in[2]);
+ vX_[421] = 0 - vX_[421];
+ vX_[244] = vX_[246] + vX_[87];
+ vX_[243] = cos(x_in[2]);
+ jac[30] =
+ 0 -
+ (vX_[361] * vX_[350] + vX_[943] * vX_[218] + vX_[423] * vX_[221] + vX_[456] * vX_[200] + vX_[87] * vX_[220] +
+ vX_[280] * vX_[168] + vX_[173] * vX_[210] + vX_[412] * vX_[201] + vX_[430] * vX_[225] +
+ vX_[877] * vX_[209] + vX_[876] * vX_[206] + vX_[874] * vX_[163] + vX_[446] * vX_[192] +
+ vX_[438] * vX_[188] + vX_[873] * vX_[187] + vX_[242] * vX_[170] + vX_[409] * vX_[250] +
+ (vX_[366] * vX_[342] + vX_[363] * vX_[2] + vX_[445] * x_in[7]) * 0.112 +
+ (vX_[361] * vX_[345] + vX_[448] * vX_[250]) * 0.112 -
+ (vX_[368] * vX_[349] + vX_[875] * vX_[219] + vX_[447] * vX_[237] + vX_[247] * vX_[168] +
+ vX_[246] * vX_[217] + vX_[408] * vX_[226] + vX_[407] * vX_[163] + vX_[872] * vX_[207] +
+ vX_[257] * vX_[208] + vX_[414] * vX_[205] + vX_[444] * vX_[203] + vX_[426] * vX_[193] +
+ vX_[439] * vX_[170] + vX_[878] * vX_[137] + vX_[363] * vX_[153] + vX_[432] * x_in[7])) *
+ vX_[195] +
+ (vX_[373] * vX_[350] + vX_[361] * vX_[349] + vX_[875] * vX_[221] + vX_[943] * vX_[234] + vX_[423] * vX_[219] +
+ vX_[447] * vX_[200] + vX_[421] * vX_[237] + vX_[247] * vX_[220] + vX_[244] * vX_[168] +
+ vX_[280] * vX_[217] + vX_[173] * vX_[207] + vX_[408] * vX_[225] + vX_[407] * vX_[201] +
+ vX_[872] * vX_[210] + vX_[430] * vX_[226] + vX_[257] * vX_[209] + vX_[414] * vX_[206] +
+ vX_[877] * vX_[208] + vX_[876] * vX_[205] + vX_[415] * vX_[163] + vX_[874] * vX_[203] +
+ vX_[426] * vX_[188] + vX_[446] * vX_[230] + vX_[438] * vX_[193] + vX_[439] * vX_[187] +
+ vX_[364] * vX_[170] + vX_[242] * vX_[137] + vX_[363] * vX_[152] + vX_[409] * x_in[7] + vX_[432] * vX_[250] +
+ (vX_[361] * vX_[342] + vX_[363] * vX_[151] + vX_[445] * vX_[250]) * -0.112 +
+ (vX_[371] * vX_[345] + vX_[448] * x_in[7]) * 0.112) *
+ vX_[243];
+ vX_[527] = vX_[527] * vX_[214];
+ vX_[523] = vX_[523] * vX_[216];
+ vX_[875] = vX_[527] - vX_[523];
+ vX_[510] = vX_[543] * vX_[216] + vX_[510] * vX_[214];
+ vX_[508] = vX_[531] * vX_[214] + vX_[508] * vX_[216];
+ vX_[543] = 0 - vX_[508];
+ vX_[363] = vX_[875] * vX_[1];
+ vX_[257] = vX_[875] * vX_[151];
+ vX_[414] = 9.81 * vX_[215];
+ vX_[872] = 0 - vX_[510];
+ vX_[415] = 0 - vX_[527];
+ vX_[534] = vX_[533] * vX_[216] + vX_[534] * vX_[214];
+ vX_[533] = 0 - vX_[534];
+ vX_[444] = 0 - vX_[517];
+ vX_[364] = (vX_[415] * vX_[238] + vX_[533] * vX_[204] + vX_[444] * vX_[194] + (0 - vX_[499]) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[415] = vX_[450] * vX_[414] + vX_[872] * vX_[212] + vX_[415] * vX_[239] + vX_[364];
+ vX_[495] = vX_[495] * vX_[216] + vX_[525] * vX_[214] * 2.;
+ vX_[450] = vX_[495] * vX_[151] + vX_[517] * vX_[1];
+ vX_[878] = vX_[495] * vX_[2] + vX_[517] * vX_[151];
+ vX_[494] = vX_[513] * vX_[214] + vX_[494] * vX_[216] * 2.;
+ vX_[439] = 9.81 * vX_[0];
+ vX_[426] = 0 - vX_[508];
+ vX_[242] = 0 - vX_[523];
+ vX_[873] = 0 - vX_[531];
+ vX_[526] = (vX_[242] * vX_[204] + vX_[873] * vX_[194] + (0 - vX_[526]) * -0.022851627) * 1 / vX_[196];
+ vX_[242] =
+ vX_[494] - (vX_[483] * vX_[439] + vX_[426] * vX_[212] + vX_[533] * vX_[239] + vX_[242] * vX_[236] + vX_[526]);
+ vX_[525] = vX_[525] + vX_[427] * vX_[343];
+ vX_[518] = vX_[518] + vX_[442] * vX_[251];
+ vX_[533] = vX_[525] - vX_[518];
+ vX_[215] = vX_[215] * vX_[355] + vX_[343];
+ vX_[483] = 0 - vX_[495];
+ vX_[525] = 0 - vX_[525];
+ vX_[513] = (vX_[525] * vX_[194] + (0 - (vX_[513] + vX_[427] * vX_[251] + vX_[442] * vX_[343])) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[525] = vX_[411] * vX_[215] + vX_[435] * vX_[259] + vX_[483] * vX_[212] + vX_[444] * vX_[239] +
+ vX_[873] * vX_[236] + vX_[525] * vX_[197] + vX_[513];
+ vX_[873] = vX_[533] * vX_[1];
+ vX_[444] = vX_[533] * vX_[151];
+ vX_[355] = vX_[0] * vX_[355] + vX_[251];
+ vX_[0] = (vX_[259] - vX_[194] * vX_[215] - -0.022851627 * vX_[355] - vX_[238] * vX_[414] - vX_[204] * vX_[439]) /
+ vX_[196];
+ vX_[515] = vX_[515] * vX_[214] + vX_[501] * vX_[216];
+ vX_[501] = 0 - vX_[515];
+ vX_[483] = (vX_[501] * vX_[211] + vX_[872] * vX_[238] + vX_[426] * vX_[204] + vX_[483] * vX_[194] +
+ (0 - vX_[494]) * -0.022851627) *
+ 1 / vX_[196];
+ vX_[513] = 0 - vX_[518] + 0 - vX_[425] * vX_[0] - vX_[435] * vX_[305] - vX_[453] * vX_[360] - vX_[483] * vX_[212] -
+ vX_[364] * vX_[239] - vX_[526] * vX_[236] - vX_[513] * vX_[197] -
+ (0 - vX_[518]) * -0.022851627 * 1 / vX_[196] * vX_[245];
+ vX_[526] = vX_[513] * vX_[151] + vX_[525] * vX_[1];
+ vX_[364] = vX_[513] * vX_[2] + vX_[525] * vX_[151];
+ vX_[453] = vX_[364] + vX_[873];
+ vX_[435] = vX_[526] * vX_[2] + vX_[453] * vX_[151] + vX_[444] * vX_[1];
+ vX_[425] = 0 - vX_[435];
+ vX_[426] = vX_[518] + vX_[526] * vX_[151] + vX_[873] * vX_[1];
+ vX_[872] = 0 - vX_[426];
+ vX_[518] = vX_[518] + vX_[364] * vX_[2] + vX_[444] * vX_[151];
+ vX_[531] = vX_[531] - vX_[499];
+ vX_[411] = vX_[494] * vX_[151] + vX_[499] * vX_[1] - (vX_[531] * vX_[2] + vX_[242] * vX_[151]);
+ vX_[442] = 0 - vX_[411];
+ vX_[438] = vX_[499] + vX_[531];
+ vX_[446] = vX_[494] * vX_[2] + vX_[438] * vX_[151] + vX_[242] * vX_[1];
+ vX_[483] = vX_[501] * vX_[212] + vX_[483];
+ vX_[501] = vX_[415] * vX_[151] + vX_[483] * vX_[2];
+ vX_[874] = vX_[501] * vX_[151] + vX_[878] * vX_[1];
+ vX_[407] = 0 - (vX_[874] + vX_[872] * vX_[154]);
+ vX_[876] = vX_[415] * vX_[1] + vX_[483] * vX_[151];
+ vX_[877] = vX_[876] * vX_[2] + vX_[450] * vX_[151];
+ vX_[408] = vX_[877] + vX_[518] * vX_[154];
+ vX_[173] = vX_[876] * vX_[151] + vX_[450] * vX_[1];
+ vX_[423] = vX_[501] * vX_[2] + vX_[878] * vX_[151];
+ vX_[943] = 0 - vX_[173] + vX_[423] + vX_[425] * vX_[154];
+ vX_[430] = 0 - vX_[435];
+ vX_[412] = 0 - vX_[426];
+ vX_[872] = vX_[425] * vX_[169] + vX_[872] * vX_[186] + vX_[518] * vX_[147] + vX_[442] * vX_[200] +
+ vX_[446] * vX_[202] + vX_[407] * vX_[185] + vX_[408] * vX_[182] + vX_[943] * vX_[168] +
+ vX_[435] * vX_[150] + vX_[430] * vX_[166] + vX_[412] * vX_[176] + vX_[518] * vX_[190];
+ vX_[425] = vX_[515] - vX_[523];
+ vX_[373] = vX_[425] * vX_[151] + vX_[510] * vX_[1];
+ vX_[371] = vX_[425] * vX_[2] + vX_[510] * vX_[151];
+ vX_[508] = 0 - vX_[508];
+ vX_[368] = vX_[371] + vX_[363];
+ jac[31] =
+ 0 -
+ (vX_[427] * vX_[350] + vX_[875] * vX_[218] + vX_[510] * vX_[221] + vX_[543] * vX_[200] + vX_[363] * vX_[220] +
+ vX_[257] * vX_[168] + vX_[415] * vX_[210] + vX_[499] * vX_[201] + vX_[517] * vX_[225] +
+ vX_[450] * vX_[209] + vX_[878] * vX_[206] + vX_[242] * vX_[163] + vX_[533] * vX_[192] +
+ vX_[525] * vX_[188] + vX_[873] * vX_[187] + vX_[444] * vX_[170] + vX_[496] * vX_[250] +
+ (vX_[437] * vX_[342] + vX_[872] * vX_[2] + vX_[532] * x_in[7]) * 0.112 +
+ (vX_[427] * vX_[345] + vX_[535] * vX_[250]) * 0.112 -
+ (vX_[449] * vX_[349] + vX_[425] * vX_[219] + vX_[534] * vX_[237] + vX_[373] * vX_[168] +
+ vX_[371] * vX_[217] + vX_[495] * vX_[226] + vX_[494] * vX_[163] + vX_[483] * vX_[207] +
+ vX_[876] * vX_[208] + vX_[501] * vX_[205] + vX_[531] * vX_[203] + vX_[513] * vX_[193] +
+ vX_[526] * vX_[170] + vX_[364] * vX_[137] + vX_[872] * vX_[153] + vX_[519] * x_in[7])) *
+ vX_[195] +
+ (vX_[460] * vX_[350] + vX_[427] * vX_[349] + vX_[425] * vX_[221] + vX_[875] * vX_[234] + vX_[510] * vX_[219] +
+ vX_[534] * vX_[200] + vX_[508] * vX_[237] + vX_[373] * vX_[220] + vX_[368] * vX_[168] +
+ vX_[257] * vX_[217] + vX_[415] * vX_[207] + vX_[495] * vX_[225] + vX_[494] * vX_[201] +
+ vX_[483] * vX_[210] + vX_[517] * vX_[226] + vX_[876] * vX_[209] + vX_[501] * vX_[206] +
+ vX_[450] * vX_[208] + vX_[878] * vX_[205] + vX_[438] * vX_[163] + vX_[242] * vX_[203] +
+ vX_[513] * vX_[188] + vX_[533] * vX_[230] + vX_[525] * vX_[193] + vX_[526] * vX_[187] +
+ vX_[453] * vX_[170] + vX_[444] * vX_[137] + vX_[872] * vX_[152] + vX_[496] * x_in[7] + vX_[519] * vX_[250] +
+ (vX_[427] * vX_[342] + vX_[872] * vX_[151] + vX_[532] * vX_[250]) * -0.112 +
+ (vX_[413] * vX_[345] + vX_[535] * x_in[7]) * 0.112) *
+ vX_[243];
+ vX_[621] = vX_[621] * vX_[214];
+ vX_[617] = vX_[617] * vX_[216];
+ vX_[425] = vX_[621] - vX_[617];
+ vX_[604] = vX_[637] * vX_[216] + vX_[604] * vX_[214];
+ vX_[602] = vX_[625] * vX_[214] + vX_[602] * vX_[216];
+ vX_[637] = 0 - vX_[602];
+ vX_[872] = vX_[425] * vX_[1];
+ vX_[876] = vX_[425] * vX_[151];
+ vX_[501] = 0 - vX_[604];
+ vX_[483] = 0 - vX_[621];
+ vX_[628] = vX_[627] * vX_[216] + vX_[628] * vX_[214];
+ vX_[627] = 0 - vX_[628];
+ vX_[438] = 0 - vX_[611];
+ vX_[531] = (vX_[483] * vX_[238] + vX_[627] * vX_[204] + vX_[438] * vX_[194] + (0 - vX_[593]) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[483] = vX_[331] * vX_[414] + vX_[501] * vX_[212] + vX_[483] * vX_[239] + vX_[531];
+ vX_[589] = vX_[589] * vX_[216] + vX_[619] * vX_[214] * 2.;
+ vX_[331] = vX_[589] * vX_[151] + vX_[611] * vX_[1];
+ vX_[453] = vX_[589] * vX_[2] + vX_[611] * vX_[151];
+ vX_[588] = vX_[607] * vX_[214] + vX_[588] * vX_[216] * 2.;
+ vX_[364] = 0 - vX_[602];
+ vX_[526] = 0 - vX_[617];
+ vX_[513] = 0 - vX_[625];
+ vX_[620] = (vX_[526] * vX_[204] + vX_[513] * vX_[194] + (0 - vX_[620]) * -0.022851627) * 1 / vX_[196];
+ vX_[526] =
+ vX_[588] - (vX_[632] * vX_[439] + vX_[364] * vX_[212] + vX_[627] * vX_[239] + vX_[526] * vX_[236] + vX_[620]);
+ vX_[619] = vX_[619] + vX_[536] * vX_[343];
+ vX_[612] = vX_[612] + vX_[482] * vX_[251];
+ vX_[627] = vX_[619] - vX_[612];
+ vX_[632] = 0 - vX_[589];
+ vX_[619] = 0 - vX_[619];
+ vX_[607] = (vX_[619] * vX_[194] + (0 - (vX_[607] + vX_[536] * vX_[251] + vX_[482] * vX_[343])) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[619] = vX_[346] * vX_[215] + vX_[484] * vX_[259] + vX_[632] * vX_[212] + vX_[438] * vX_[239] +
+ vX_[513] * vX_[236] + vX_[619] * vX_[197] + vX_[607];
+ vX_[513] = vX_[627] * vX_[1];
+ vX_[438] = vX_[627] * vX_[151];
+ vX_[609] = vX_[609] * vX_[214] + vX_[595] * vX_[216];
+ vX_[595] = 0 - vX_[609];
+ vX_[632] = (vX_[595] * vX_[211] + vX_[501] * vX_[238] + vX_[364] * vX_[204] + vX_[632] * vX_[194] +
+ (0 - vX_[588]) * -0.022851627) *
+ 1 / vX_[196];
+ vX_[607] = 0 - vX_[612] + 0 - vX_[358] * vX_[0] - vX_[484] * vX_[305] - vX_[500] * vX_[360] - vX_[632] * vX_[212] -
+ vX_[531] * vX_[239] - vX_[620] * vX_[236] - vX_[607] * vX_[197] -
+ (0 - vX_[612]) * -0.022851627 * 1 / vX_[196] * vX_[245];
+ vX_[620] = vX_[607] * vX_[151] + vX_[619] * vX_[1];
+ vX_[531] = vX_[607] * vX_[2] + vX_[619] * vX_[151];
+ vX_[500] = vX_[531] + vX_[513];
+ vX_[484] = vX_[620] * vX_[2] + vX_[500] * vX_[151] + vX_[438] * vX_[1];
+ vX_[358] = 0 - vX_[484];
+ vX_[364] = vX_[612] + vX_[620] * vX_[151] + vX_[513] * vX_[1];
+ vX_[501] = 0 - vX_[364];
+ vX_[612] = vX_[612] + vX_[531] * vX_[2] + vX_[438] * vX_[151];
+ vX_[625] = vX_[625] - vX_[593];
+ vX_[346] = vX_[588] * vX_[151] + vX_[593] * vX_[1] - (vX_[625] * vX_[2] + vX_[526] * vX_[151]);
+ vX_[482] = 0 - vX_[346];
+ vX_[444] = vX_[593] + vX_[625];
+ vX_[873] = vX_[588] * vX_[2] + vX_[444] * vX_[151] + vX_[526] * vX_[1];
+ vX_[632] = vX_[595] * vX_[212] + vX_[632];
+ vX_[595] = vX_[483] * vX_[151] + vX_[632] * vX_[2];
+ vX_[525] = vX_[595] * vX_[151] + vX_[453] * vX_[1];
+ vX_[533] = 0 - (vX_[525] + vX_[501] * vX_[154]);
+ vX_[242] = vX_[483] * vX_[1] + vX_[632] * vX_[151];
+ vX_[494] = vX_[242] * vX_[2] + vX_[331] * vX_[151];
+ vX_[878] = vX_[494] + vX_[612] * vX_[154];
+ vX_[450] = vX_[242] * vX_[151] + vX_[331] * vX_[1];
+ vX_[495] = vX_[595] * vX_[2] + vX_[453] * vX_[151];
+ vX_[415] = 0 - vX_[450] + vX_[495] + vX_[358] * vX_[154];
+ vX_[510] = 0 - vX_[484];
+ vX_[875] = 0 - vX_[364];
+ vX_[501] = vX_[358] * vX_[169] + vX_[501] * vX_[186] + vX_[612] * vX_[147] + vX_[482] * vX_[200] +
+ vX_[873] * vX_[202] + vX_[533] * vX_[185] + vX_[878] * vX_[182] + vX_[415] * vX_[168] +
+ vX_[484] * vX_[150] + vX_[510] * vX_[166] + vX_[875] * vX_[176] + vX_[612] * vX_[190];
+ vX_[358] = vX_[609] - vX_[617];
+ vX_[517] = vX_[358] * vX_[151] + vX_[604] * vX_[1];
+ vX_[499] = vX_[358] * vX_[2] + vX_[604] * vX_[151];
+ vX_[602] = 0 - vX_[602];
+ vX_[460] = vX_[499] + vX_[872];
+ jac[32] =
+ 0 -
+ (vX_[498] * vX_[414] + vX_[249] * vX_[215] + vX_[536] * vX_[350] + vX_[425] * vX_[218] + vX_[604] * vX_[221] +
+ vX_[637] * vX_[200] + vX_[872] * vX_[220] + vX_[876] * vX_[168] + vX_[483] * vX_[210] +
+ vX_[593] * vX_[201] + vX_[611] * vX_[225] + vX_[331] * vX_[209] + vX_[453] * vX_[206] +
+ vX_[526] * vX_[163] + vX_[627] * vX_[192] + vX_[619] * vX_[188] + vX_[513] * vX_[187] +
+ vX_[438] * vX_[170] + vX_[590] * vX_[250] +
+ (vX_[498] * vX_[0] + vX_[547] * vX_[342] + vX_[501] * vX_[2] + vX_[626] * x_in[7]) * 0.112 +
+ (vX_[541] * vX_[215] + vX_[536] * vX_[345] + vX_[629] * vX_[250]) * 0.112 -
+ (vX_[357] * vX_[0] + vX_[549] * vX_[349] + vX_[358] * vX_[219] + vX_[628] * vX_[237] + vX_[517] * vX_[168] +
+ vX_[499] * vX_[217] + vX_[589] * vX_[226] + vX_[588] * vX_[163] + vX_[632] * vX_[207] +
+ vX_[242] * vX_[208] + vX_[595] * vX_[205] + vX_[625] * vX_[203] + vX_[607] * vX_[193] +
+ vX_[620] * vX_[170] + vX_[531] * vX_[137] + vX_[501] * vX_[153] + vX_[613] * x_in[7])) *
+ vX_[195] +
+ (vX_[541] * vX_[414] + vX_[249] * vX_[0] + vX_[357] * vX_[215] + vX_[554] * vX_[350] + vX_[536] * vX_[349] +
+ vX_[358] * vX_[221] + vX_[425] * vX_[234] + vX_[604] * vX_[219] + vX_[628] * vX_[200] +
+ vX_[602] * vX_[237] + vX_[517] * vX_[220] + vX_[460] * vX_[168] + vX_[876] * vX_[217] +
+ vX_[483] * vX_[207] + vX_[589] * vX_[225] + vX_[588] * vX_[201] + vX_[632] * vX_[210] +
+ vX_[611] * vX_[226] + vX_[242] * vX_[209] + vX_[595] * vX_[206] + vX_[331] * vX_[208] +
+ vX_[453] * vX_[205] + vX_[444] * vX_[163] + vX_[526] * vX_[203] + vX_[607] * vX_[188] +
+ vX_[627] * vX_[230] + vX_[619] * vX_[193] + vX_[620] * vX_[187] + vX_[500] * vX_[170] +
+ vX_[438] * vX_[137] + vX_[501] * vX_[152] + vX_[590] * x_in[7] + vX_[613] * vX_[250] +
+ (vX_[498] * vX_[215] + vX_[536] * vX_[342] + vX_[501] * vX_[151] + vX_[626] * vX_[250]) * -0.112 +
+ (vX_[541] * vX_[0] + vX_[552] * vX_[345] + vX_[629] * x_in[7]) * 0.112) *
+ vX_[243];
+ vX_[726] = vX_[726] * vX_[214];
+ vX_[722] = vX_[722] * vX_[216];
+ vX_[358] = vX_[726] - vX_[722];
+ vX_[709] = vX_[742] * vX_[216] + vX_[709] * vX_[214];
+ vX_[707] = vX_[730] * vX_[214] + vX_[707] * vX_[216];
+ vX_[742] = 0 - vX_[707];
+ vX_[501] = vX_[358] * vX_[1];
+ vX_[242] = vX_[358] * vX_[151];
+ vX_[595] = 0 - vX_[709];
+ vX_[632] = 0 - vX_[726];
+ vX_[733] = vX_[732] * vX_[216] + vX_[733] * vX_[214];
+ vX_[732] = 0 - vX_[733];
+ vX_[444] = 0 - vX_[716];
+ vX_[625] = (vX_[632] * vX_[238] + vX_[732] * vX_[204] + vX_[444] * vX_[194] + (0 - vX_[698]) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[632] = vX_[618] * vX_[414] + vX_[595] * vX_[212] + vX_[632] * vX_[239] + vX_[625];
+ vX_[694] = vX_[694] * vX_[216] + vX_[724] * vX_[214] * 2.;
+ vX_[618] = vX_[694] * vX_[151] + vX_[716] * vX_[1];
+ vX_[500] = vX_[694] * vX_[2] + vX_[716] * vX_[151];
+ vX_[693] = vX_[712] * vX_[214] + vX_[693] * vX_[216] * 2.;
+ vX_[531] = 0 - vX_[707];
+ vX_[620] = 0 - vX_[722];
+ vX_[607] = 0 - vX_[730];
+ vX_[725] = (vX_[620] * vX_[204] + vX_[607] * vX_[194] + (0 - vX_[725]) * -0.022851627) * 1 / vX_[196];
+ vX_[620] =
+ vX_[693] - (vX_[735] * vX_[439] + vX_[531] * vX_[212] + vX_[732] * vX_[239] + vX_[620] * vX_[236] + vX_[725]);
+ vX_[724] = vX_[724] + vX_[647] * vX_[343];
+ vX_[717] = vX_[717] + vX_[649] * vX_[251];
+ vX_[732] = vX_[724] - vX_[717];
+ vX_[735] = 0 - vX_[694];
+ vX_[724] = 0 - vX_[724];
+ vX_[712] = (vX_[724] * vX_[194] + (0 - (vX_[712] + vX_[647] * vX_[251] + vX_[649] * vX_[343])) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[724] = vX_[630] * vX_[215] + vX_[648] * vX_[259] + vX_[735] * vX_[212] + vX_[444] * vX_[239] +
+ vX_[607] * vX_[236] + vX_[724] * vX_[197] + vX_[712];
+ vX_[607] = vX_[732] * vX_[1];
+ vX_[444] = vX_[732] * vX_[151];
+ vX_[714] = vX_[714] * vX_[214] + vX_[700] * vX_[216];
+ vX_[700] = 0 - vX_[714];
+ vX_[735] = (vX_[700] * vX_[211] + vX_[595] * vX_[238] + vX_[531] * vX_[204] + vX_[735] * vX_[194] +
+ (0 - vX_[693]) * -0.022851627) *
+ 1 / vX_[196];
+ vX_[712] = 0 - vX_[717] + 0 - vX_[597] * vX_[0] - vX_[648] * vX_[305] - vX_[650] * vX_[360] - vX_[735] * vX_[212] -
+ vX_[625] * vX_[239] - vX_[725] * vX_[236] - vX_[712] * vX_[197] -
+ (0 - vX_[717]) * -0.022851627 * 1 / vX_[196] * vX_[245];
+ vX_[725] = vX_[712] * vX_[151] + vX_[724] * vX_[1];
+ vX_[625] = vX_[712] * vX_[2] + vX_[724] * vX_[151];
+ vX_[650] = vX_[625] + vX_[607];
+ vX_[648] = vX_[725] * vX_[2] + vX_[650] * vX_[151] + vX_[444] * vX_[1];
+ vX_[597] = 0 - vX_[648];
+ vX_[531] = vX_[717] + vX_[725] * vX_[151] + vX_[607] * vX_[1];
+ vX_[595] = 0 - vX_[531];
+ vX_[717] = vX_[717] + vX_[625] * vX_[2] + vX_[444] * vX_[151];
+ vX_[730] = vX_[730] - vX_[698];
+ vX_[630] = vX_[693] * vX_[151] + vX_[698] * vX_[1] - (vX_[730] * vX_[2] + vX_[620] * vX_[151]);
+ vX_[649] = 0 - vX_[630];
+ vX_[438] = vX_[698] + vX_[730];
+ vX_[513] = vX_[693] * vX_[2] + vX_[438] * vX_[151] + vX_[620] * vX_[1];
+ vX_[735] = vX_[700] * vX_[212] + vX_[735];
+ vX_[700] = vX_[632] * vX_[151] + vX_[735] * vX_[2];
+ vX_[619] = vX_[700] * vX_[151] + vX_[500] * vX_[1];
+ vX_[627] = 0 - (vX_[619] + vX_[595] * vX_[154]);
+ vX_[526] = vX_[632] * vX_[1] + vX_[735] * vX_[151];
+ vX_[588] = vX_[526] * vX_[2] + vX_[618] * vX_[151];
+ vX_[453] = vX_[588] + vX_[717] * vX_[154];
+ vX_[331] = vX_[526] * vX_[151] + vX_[618] * vX_[1];
+ vX_[589] = vX_[700] * vX_[2] + vX_[500] * vX_[151];
+ vX_[483] = 0 - vX_[331] + vX_[589] + vX_[597] * vX_[154];
+ vX_[604] = 0 - vX_[648];
+ vX_[425] = 0 - vX_[531];
+ vX_[595] = vX_[597] * vX_[169] + vX_[595] * vX_[186] + vX_[717] * vX_[147] + vX_[649] * vX_[200] +
+ vX_[513] * vX_[202] + vX_[627] * vX_[185] + vX_[453] * vX_[182] + vX_[483] * vX_[168] +
+ vX_[648] * vX_[150] + vX_[604] * vX_[166] + vX_[425] * vX_[176] + vX_[717] * vX_[190];
+ vX_[597] = vX_[714] - vX_[722];
+ vX_[611] = vX_[597] * vX_[151] + vX_[709] * vX_[1];
+ vX_[593] = vX_[597] * vX_[2] + vX_[709] * vX_[151];
+ vX_[707] = 0 - vX_[707];
+ vX_[554] = vX_[593] + vX_[501];
+ jac[33] =
+ 0 -
+ (vX_[522] * vX_[414] + vX_[458] * vX_[215] + vX_[647] * vX_[350] + vX_[358] * vX_[218] + vX_[709] * vX_[221] +
+ vX_[742] * vX_[200] + vX_[501] * vX_[220] + vX_[242] * vX_[168] + vX_[632] * vX_[210] +
+ vX_[698] * vX_[201] + vX_[716] * vX_[225] + vX_[618] * vX_[209] + vX_[500] * vX_[206] +
+ vX_[620] * vX_[163] + vX_[732] * vX_[192] + vX_[724] * vX_[188] + vX_[607] * vX_[187] +
+ vX_[444] * vX_[170] + vX_[695] * vX_[250] +
+ (vX_[522] * vX_[0] + vX_[652] * vX_[342] + vX_[595] * vX_[2] + vX_[731] * x_in[7]) * 0.112 +
+ (vX_[596] * vX_[215] + vX_[647] * vX_[345] + vX_[734] * vX_[250]) * 0.112 -
+ (vX_[634] * vX_[0] + vX_[654] * vX_[349] + vX_[597] * vX_[219] + vX_[733] * vX_[237] + vX_[611] * vX_[168] +
+ vX_[593] * vX_[217] + vX_[694] * vX_[226] + vX_[693] * vX_[163] + vX_[735] * vX_[207] +
+ vX_[526] * vX_[208] + vX_[700] * vX_[205] + vX_[730] * vX_[203] + vX_[712] * vX_[193] +
+ vX_[725] * vX_[170] + vX_[625] * vX_[137] + vX_[595] * vX_[153] + vX_[718] * x_in[7])) *
+ vX_[195] +
+ (vX_[596] * vX_[414] + vX_[458] * vX_[0] + vX_[634] * vX_[215] + vX_[659] * vX_[350] + vX_[647] * vX_[349] +
+ vX_[597] * vX_[221] + vX_[358] * vX_[234] + vX_[709] * vX_[219] + vX_[733] * vX_[200] +
+ vX_[707] * vX_[237] + vX_[611] * vX_[220] + vX_[554] * vX_[168] + vX_[242] * vX_[217] +
+ vX_[632] * vX_[207] + vX_[694] * vX_[225] + vX_[693] * vX_[201] + vX_[735] * vX_[210] +
+ vX_[716] * vX_[226] + vX_[526] * vX_[209] + vX_[700] * vX_[206] + vX_[618] * vX_[208] +
+ vX_[500] * vX_[205] + vX_[438] * vX_[163] + vX_[620] * vX_[203] + vX_[712] * vX_[188] +
+ vX_[732] * vX_[230] + vX_[724] * vX_[193] + vX_[725] * vX_[187] + vX_[650] * vX_[170] +
+ vX_[444] * vX_[137] + vX_[595] * vX_[152] + vX_[695] * x_in[7] + vX_[718] * vX_[250] +
+ (vX_[522] * vX_[215] + vX_[647] * vX_[342] + vX_[595] * vX_[151] + vX_[731] * vX_[250]) * -0.112 +
+ (vX_[596] * vX_[0] + vX_[657] * vX_[345] + vX_[734] * x_in[7]) * 0.112) *
+ vX_[243];
+ vX_[843] = vX_[843] * vX_[214];
+ vX_[839] = vX_[839] * vX_[216];
+ vX_[597] = vX_[843] - vX_[839];
+ vX_[826] = vX_[859] * vX_[216] + vX_[826] * vX_[214];
+ vX_[824] = vX_[847] * vX_[214] + vX_[824] * vX_[216];
+ vX_[859] = 0 - vX_[824];
+ vX_[595] = vX_[597] * vX_[1];
+ vX_[526] = vX_[597] * vX_[151];
+ vX_[700] = 0 - vX_[826];
+ vX_[735] = 0 - vX_[843];
+ vX_[850] = vX_[849] * vX_[216] + vX_[850] * vX_[214];
+ vX_[849] = 0 - vX_[850];
+ vX_[438] = 0 - vX_[833];
+ vX_[730] = (vX_[735] * vX_[238] + vX_[849] * vX_[204] + vX_[438] * vX_[194] + (0 - vX_[815]) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[735] = vX_[752] * vX_[414] + vX_[700] * vX_[212] + vX_[735] * vX_[239] + vX_[730];
+ vX_[811] = vX_[811] * vX_[216] + vX_[841] * vX_[214] * 2.;
+ vX_[752] = vX_[811] * vX_[151] + vX_[833] * vX_[1];
+ vX_[650] = vX_[811] * vX_[2] + vX_[833] * vX_[151];
+ vX_[810] = vX_[829] * vX_[214] + vX_[810] * vX_[216] * 2.;
+ vX_[625] = 0 - vX_[824];
+ vX_[725] = 0 - vX_[839];
+ vX_[712] = 0 - vX_[847];
+ vX_[842] = (vX_[725] * vX_[204] + vX_[712] * vX_[194] + (0 - vX_[842]) * -0.022851627) * 1 / vX_[196];
+ vX_[725] =
+ vX_[810] - (vX_[854] * vX_[439] + vX_[625] * vX_[212] + vX_[849] * vX_[239] + vX_[725] * vX_[236] + vX_[842]);
+ vX_[841] = vX_[841] + vX_[764] * vX_[343];
+ vX_[834] = vX_[834] + vX_[766] * vX_[251];
+ vX_[849] = vX_[841] - vX_[834];
+ vX_[854] = 0 - vX_[811];
+ vX_[841] = 0 - vX_[841];
+ vX_[829] = (vX_[841] * vX_[194] + (0 - (vX_[829] + vX_[764] * vX_[251] + vX_[766] * vX_[343])) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[841] = vX_[753] * vX_[215] + vX_[765] * vX_[259] + vX_[854] * vX_[212] + vX_[438] * vX_[239] +
+ vX_[712] * vX_[236] + vX_[841] * vX_[197] + vX_[829];
+ vX_[712] = vX_[849] * vX_[1];
+ vX_[438] = vX_[849] * vX_[151];
+ vX_[831] = vX_[831] * vX_[214] + vX_[817] * vX_[216];
+ vX_[817] = 0 - vX_[831];
+ vX_[854] = (vX_[817] * vX_[211] + vX_[700] * vX_[238] + vX_[625] * vX_[204] + vX_[854] * vX_[194] +
+ (0 - vX_[810]) * -0.022851627) *
+ 1 / vX_[196];
+ vX_[829] = 0 - vX_[834] + 0 - vX_[751] * vX_[0] - vX_[765] * vX_[305] - vX_[767] * vX_[360] - vX_[854] * vX_[212] -
+ vX_[730] * vX_[239] - vX_[842] * vX_[236] - vX_[829] * vX_[197] -
+ (0 - vX_[834]) * -0.022851627 * 1 / vX_[196] * vX_[245];
+ vX_[842] = vX_[829] * vX_[151] + vX_[841] * vX_[1];
+ vX_[730] = vX_[829] * vX_[2] + vX_[841] * vX_[151];
+ vX_[767] = vX_[730] + vX_[712];
+ vX_[765] = vX_[842] * vX_[2] + vX_[767] * vX_[151] + vX_[438] * vX_[1];
+ vX_[751] = 0 - vX_[765];
+ vX_[625] = vX_[834] + vX_[842] * vX_[151] + vX_[712] * vX_[1];
+ vX_[700] = 0 - vX_[625];
+ vX_[834] = vX_[834] + vX_[730] * vX_[2] + vX_[438] * vX_[151];
+ vX_[847] = vX_[847] - vX_[815];
+ vX_[753] = vX_[810] * vX_[151] + vX_[815] * vX_[1] - (vX_[847] * vX_[2] + vX_[725] * vX_[151]);
+ vX_[766] = 0 - vX_[753];
+ vX_[444] = vX_[815] + vX_[847];
+ vX_[607] = vX_[810] * vX_[2] + vX_[444] * vX_[151] + vX_[725] * vX_[1];
+ vX_[854] = vX_[817] * vX_[212] + vX_[854];
+ vX_[817] = vX_[735] * vX_[151] + vX_[854] * vX_[2];
+ vX_[724] = vX_[817] * vX_[151] + vX_[650] * vX_[1];
+ vX_[732] = 0 - (vX_[724] + vX_[700] * vX_[154]);
+ vX_[620] = vX_[735] * vX_[1] + vX_[854] * vX_[151];
+ vX_[693] = vX_[620] * vX_[2] + vX_[752] * vX_[151];
+ vX_[500] = vX_[693] + vX_[834] * vX_[154];
+ vX_[618] = vX_[620] * vX_[151] + vX_[752] * vX_[1];
+ vX_[694] = vX_[817] * vX_[2] + vX_[650] * vX_[151];
+ vX_[632] = 0 - vX_[618] + vX_[694] + vX_[751] * vX_[154];
+ vX_[709] = 0 - vX_[765];
+ vX_[358] = 0 - vX_[625];
+ vX_[700] = vX_[751] * vX_[169] + vX_[700] * vX_[186] + vX_[834] * vX_[147] + vX_[766] * vX_[200] +
+ vX_[607] * vX_[202] + vX_[732] * vX_[185] + vX_[500] * vX_[182] + vX_[632] * vX_[168] +
+ vX_[765] * vX_[150] + vX_[709] * vX_[166] + vX_[358] * vX_[176] + vX_[834] * vX_[190];
+ vX_[751] = vX_[831] - vX_[839];
+ vX_[716] = vX_[751] * vX_[151] + vX_[826] * vX_[1];
+ vX_[698] = vX_[751] * vX_[2] + vX_[826] * vX_[151];
+ vX_[824] = 0 - vX_[824];
+ vX_[659] = vX_[698] + vX_[595];
+ jac[34] =
+ 0 -
+ (vX_[681] * vX_[414] + vX_[745] * vX_[215] + vX_[764] * vX_[350] + vX_[597] * vX_[218] + vX_[826] * vX_[221] +
+ vX_[859] * vX_[200] + vX_[595] * vX_[220] + vX_[526] * vX_[168] + vX_[735] * vX_[210] +
+ vX_[815] * vX_[201] + vX_[833] * vX_[225] + vX_[752] * vX_[209] + vX_[650] * vX_[206] +
+ vX_[725] * vX_[163] + vX_[849] * vX_[192] + vX_[841] * vX_[188] + vX_[712] * vX_[187] +
+ vX_[438] * vX_[170] + vX_[812] * vX_[250] +
+ (vX_[681] * vX_[0] + vX_[769] * vX_[342] + vX_[700] * vX_[2] + vX_[848] * x_in[7]) * 0.112 +
+ (vX_[747] * vX_[215] + vX_[764] * vX_[345] + vX_[851] * vX_[250]) * 0.112 -
+ (vX_[643] * vX_[0] + vX_[771] * vX_[349] + vX_[751] * vX_[219] + vX_[850] * vX_[237] + vX_[716] * vX_[168] +
+ vX_[698] * vX_[217] + vX_[811] * vX_[226] + vX_[810] * vX_[163] + vX_[854] * vX_[207] +
+ vX_[620] * vX_[208] + vX_[817] * vX_[205] + vX_[847] * vX_[203] + vX_[829] * vX_[193] +
+ vX_[842] * vX_[170] + vX_[730] * vX_[137] + vX_[700] * vX_[153] + vX_[835] * x_in[7])) *
+ vX_[195] +
+ (vX_[747] * vX_[414] + vX_[745] * vX_[0] + vX_[643] * vX_[215] + vX_[776] * vX_[350] + vX_[764] * vX_[349] +
+ vX_[751] * vX_[221] + vX_[597] * vX_[234] + vX_[826] * vX_[219] + vX_[850] * vX_[200] +
+ vX_[824] * vX_[237] + vX_[716] * vX_[220] + vX_[659] * vX_[168] + vX_[526] * vX_[217] +
+ vX_[735] * vX_[207] + vX_[811] * vX_[225] + vX_[810] * vX_[201] + vX_[854] * vX_[210] +
+ vX_[833] * vX_[226] + vX_[620] * vX_[209] + vX_[817] * vX_[206] + vX_[752] * vX_[208] +
+ vX_[650] * vX_[205] + vX_[444] * vX_[163] + vX_[725] * vX_[203] + vX_[829] * vX_[188] +
+ vX_[849] * vX_[230] + vX_[841] * vX_[193] + vX_[842] * vX_[187] + vX_[767] * vX_[170] +
+ vX_[438] * vX_[137] + vX_[700] * vX_[152] + vX_[812] * x_in[7] + vX_[835] * vX_[250] +
+ (vX_[681] * vX_[215] + vX_[764] * vX_[342] + vX_[700] * vX_[151] + vX_[848] * vX_[250]) * -0.112 +
+ (vX_[747] * vX_[0] + vX_[774] * vX_[345] + vX_[851] * x_in[7]) * 0.112) *
+ vX_[243];
+ vX_[958] = vX_[958] * vX_[214];
+ vX_[956] = vX_[956] * vX_[216];
+ vX_[751] = vX_[958] - vX_[956];
+ vX_[954] = vX_[49] * vX_[216] + vX_[954] * vX_[214];
+ vX_[174] = vX_[172] * vX_[214] + vX_[174] * vX_[216];
+ vX_[49] = 0 - vX_[174];
+ vX_[700] = vX_[751] * vX_[1];
+ vX_[620] = vX_[751] * vX_[151];
+ vX_[817] = 0 - vX_[954];
+ vX_[854] = 0 - vX_[958];
+ vX_[198] = vX_[936] * vX_[216] + vX_[198] * vX_[214];
+ vX_[936] = 0 - vX_[198];
+ vX_[444] = 0 - vX_[963];
+ vX_[847] =
+ (vX_[854] * vX_[238] + vX_[936] * vX_[204] + vX_[444] * vX_[194] + (0 - vX_[91]) * -0.022851627) * 1 / vX_[196];
+ vX_[854] = vX_[868] * vX_[414] + vX_[817] * vX_[212] + vX_[854] * vX_[239] + vX_[847];
+ vX_[934] = vX_[934] * vX_[216] + vX_[159] * vX_[214] * 2.;
+ vX_[868] = vX_[934] * vX_[151] + vX_[963] * vX_[1];
+ vX_[767] = vX_[934] * vX_[2] + vX_[963] * vX_[151];
+ vX_[315] = vX_[949] * vX_[214] + vX_[315] * vX_[216] * 2.;
+ vX_[730] = 0 - vX_[174];
+ vX_[842] = 0 - vX_[956];
+ vX_[829] = 0 - vX_[172];
+ vX_[22] = (vX_[842] * vX_[204] + vX_[829] * vX_[194] + (0 - vX_[22]) * -0.022851627) * 1 / vX_[196];
+ vX_[842] =
+ vX_[315] - (vX_[279] * vX_[439] + vX_[730] * vX_[212] + vX_[936] * vX_[239] + vX_[842] * vX_[236] + vX_[22]);
+ vX_[159] = vX_[159] + vX_[879] * vX_[343];
+ vX_[951] = vX_[951] + vX_[881] * vX_[251];
+ vX_[936] = vX_[159] - vX_[951];
+ vX_[279] = 0 - vX_[934];
+ vX_[159] = 0 - vX_[159];
+ vX_[949] = (vX_[159] * vX_[194] + (0 - (vX_[949] + vX_[879] * vX_[251] + vX_[881] * vX_[343])) * -0.022851627) * 1 /
+ vX_[196];
+ vX_[159] = vX_[869] * vX_[215] + vX_[880] * vX_[259] + vX_[279] * vX_[212] + vX_[444] * vX_[239] +
+ vX_[829] * vX_[236] + vX_[159] * vX_[197] + vX_[949];
+ vX_[829] = vX_[936] * vX_[1];
+ vX_[444] = vX_[936] * vX_[151];
+ vX_[946] = vX_[946] * vX_[214] + vX_[274] * vX_[216];
+ vX_[274] = 0 - vX_[946];
+ vX_[279] = (vX_[274] * vX_[211] + vX_[817] * vX_[238] + vX_[730] * vX_[204] + vX_[279] * vX_[194] +
+ (0 - vX_[315]) * -0.022851627) *
+ 1 / vX_[196];
+ vX_[949] = 0 - vX_[951] + 0 - vX_[867] * vX_[0] - vX_[880] * vX_[305] - vX_[882] * vX_[360] - vX_[279] * vX_[212] -
+ vX_[847] * vX_[239] - vX_[22] * vX_[236] - vX_[949] * vX_[197] -
+ (0 - vX_[951]) * -0.022851627 * 1 / vX_[196] * vX_[245];
+ vX_[22] = vX_[949] * vX_[151] + vX_[159] * vX_[1];
+ vX_[847] = vX_[949] * vX_[2] + vX_[159] * vX_[151];
+ vX_[882] = vX_[847] + vX_[829];
+ vX_[880] = vX_[22] * vX_[2] + vX_[882] * vX_[151] + vX_[444] * vX_[1];
+ vX_[867] = 0 - vX_[880];
+ vX_[360] = vX_[951] + vX_[22] * vX_[151] + vX_[829] * vX_[1];
+ vX_[305] = 0 - vX_[360];
+ vX_[951] = vX_[951] + vX_[847] * vX_[2] + vX_[444] * vX_[151];
+ vX_[172] = vX_[172] - vX_[91];
+ vX_[245] = vX_[315] * vX_[151] + vX_[91] * vX_[1] - (vX_[172] * vX_[2] + vX_[842] * vX_[151]);
+ vX_[239] = 0 - vX_[245];
+ vX_[236] = vX_[91] + vX_[172];
+ vX_[197] = vX_[315] * vX_[2] + vX_[236] * vX_[151] + vX_[842] * vX_[1];
+ vX_[279] = vX_[274] * vX_[212] + vX_[279];
+ vX_[274] = vX_[854] * vX_[151] + vX_[279] * vX_[2];
+ vX_[212] = vX_[274] * vX_[151] + vX_[767] * vX_[1];
+ vX_[196] = 0 - (vX_[212] + vX_[305] * vX_[154]);
+ vX_[730] = vX_[854] * vX_[1] + vX_[279] * vX_[151];
+ vX_[817] = vX_[730] * vX_[2] + vX_[868] * vX_[151];
+ vX_[238] = vX_[817] + vX_[951] * vX_[154];
+ vX_[204] = vX_[730] * vX_[151] + vX_[868] * vX_[1];
+ vX_[211] = vX_[274] * vX_[2] + vX_[767] * vX_[151];
+ vX_[194] = 0 - vX_[204] + vX_[211] + vX_[867] * vX_[154];
+ vX_[216] = 0 - vX_[880];
+ vX_[214] = 0 - vX_[360];
+ vX_[305] = vX_[867] * vX_[169] + vX_[305] * vX_[186] + vX_[951] * vX_[147] + vX_[239] * vX_[200] +
+ vX_[197] * vX_[202] + vX_[196] * vX_[185] + vX_[238] * vX_[182] + vX_[194] * vX_[168] +
+ vX_[880] * vX_[150] + vX_[216] * vX_[166] + vX_[214] * vX_[176] + vX_[951] * vX_[190];
+ vX_[867] = vX_[946] - vX_[956];
+ vX_[202] = vX_[867] * vX_[151] + vX_[954] * vX_[1];
+ vX_[147] = vX_[867] * vX_[2] + vX_[954] * vX_[151];
+ vX_[174] = 0 - vX_[174];
+ vX_[182] = vX_[147] + vX_[700];
+ jac[35] =
+ 0 -
+ (vX_[800] * vX_[414] + vX_[816] * vX_[215] + vX_[879] * vX_[350] + vX_[751] * vX_[218] + vX_[954] * vX_[221] +
+ vX_[49] * vX_[200] + vX_[700] * vX_[220] + vX_[620] * vX_[168] + vX_[854] * vX_[210] + vX_[91] * vX_[201] +
+ vX_[963] * vX_[225] + vX_[868] * vX_[209] + vX_[767] * vX_[206] + vX_[842] * vX_[163] +
+ vX_[936] * vX_[192] + vX_[159] * vX_[188] + vX_[829] * vX_[187] + vX_[444] * vX_[170] +
+ vX_[933] * vX_[250] +
+ (vX_[800] * vX_[0] + vX_[884] * vX_[342] + vX_[305] * vX_[2] + vX_[962] * x_in[7]) * 0.112 +
+ (vX_[863] * vX_[215] + vX_[879] * vX_[345] + vX_[965] * vX_[250]) * 0.112 -
+ (vX_[759] * vX_[0] + vX_[886] * vX_[349] + vX_[867] * vX_[219] + vX_[198] * vX_[237] + vX_[202] * vX_[168] +
+ vX_[147] * vX_[217] + vX_[934] * vX_[226] + vX_[315] * vX_[163] + vX_[279] * vX_[207] +
+ vX_[730] * vX_[208] + vX_[274] * vX_[205] + vX_[172] * vX_[203] + vX_[949] * vX_[193] +
+ vX_[22] * vX_[170] + vX_[847] * vX_[137] + vX_[305] * vX_[153] + vX_[950] * x_in[7])) *
+ vX_[195] +
+ (vX_[863] * vX_[414] + vX_[816] * vX_[0] + vX_[759] * vX_[215] + vX_[891] * vX_[350] + vX_[879] * vX_[349] +
+ vX_[867] * vX_[221] + vX_[751] * vX_[234] + vX_[954] * vX_[219] + vX_[198] * vX_[200] +
+ vX_[174] * vX_[237] + vX_[202] * vX_[220] + vX_[182] * vX_[168] + vX_[620] * vX_[217] +
+ vX_[854] * vX_[207] + vX_[934] * vX_[225] + vX_[315] * vX_[201] + vX_[279] * vX_[210] +
+ vX_[963] * vX_[226] + vX_[730] * vX_[209] + vX_[274] * vX_[206] + vX_[868] * vX_[208] +
+ vX_[767] * vX_[205] + vX_[236] * vX_[163] + vX_[842] * vX_[203] + vX_[949] * vX_[188] +
+ vX_[936] * vX_[230] + vX_[159] * vX_[193] + vX_[22] * vX_[187] + vX_[882] * vX_[170] + vX_[444] * vX_[137] +
+ vX_[305] * vX_[152] + vX_[933] * x_in[7] + vX_[950] * vX_[250] +
+ (vX_[800] * vX_[215] + vX_[879] * vX_[342] + vX_[305] * vX_[151] + vX_[962] * vX_[250]) * -0.112 +
+ (vX_[863] * vX_[0] + vX_[889] * vX_[345] + vX_[965] * x_in[7]) * 0.112) *
+ vX_[243];
+ vX_[87] = vX_[436] + vX_[247] * vX_[151] + vX_[87] * vX_[1];
+ vX_[246] = vX_[436] + vX_[246] * vX_[2] + vX_[280] * vX_[151];
+ vX_[428] = vX_[428] + vX_[440] + vX_[436] - vX_[87] - vX_[246];
+ vX_[246] = vX_[246] + vX_[354] * vX_[154] + vX_[372] * vX_[341];
+ vX_[354] = vX_[428] - vX_[246];
+ vX_[87] = vX_[87] + vX_[356] * vX_[154] + vX_[367] * vX_[340];
+ vX_[356] = vX_[87] - vX_[246];
+ vX_[421] = 0 - (vX_[447] * vX_[2] + vX_[421] * vX_[151]) + vX_[396] * vX_[154];
+ vX_[244] = vX_[247] * vX_[2] + vX_[244] * vX_[151] + vX_[280] * vX_[1] + vX_[273] * vX_[154] + vX_[367] * vX_[341] +
+ vX_[372] * vX_[340];
+ vX_[870] = vX_[447] * vX_[151] + vX_[456] * vX_[1] + vX_[870] * vX_[154];
+ vX_[447] = 0 - vX_[870];
+ vX_[456] = vX_[354] * vX_[98] + vX_[421] * vX_[3];
+ vX_[247] = vX_[356] * vX_[98];
+ vX_[273] = vX_[354] * vX_[127] + vX_[421] * vX_[98];
+ vX_[280] = vX_[356] * vX_[3];
+ vX_[436] = vX_[273] + vX_[280];
+ vX_[440] = 0 - vX_[421];
+ vX_[867] = 0 - vX_[87];
+ vX_[305] = 0 - vX_[244];
+ vX_[352] = vX_[352] + vX_[362] * vX_[154] + vX_[367] * vX_[337] + vX_[374] * vX_[340];
+ vX_[730] = 0 - vX_[352];
+ vX_[272] = vX_[272] + vX_[431] * vX_[154] * 2. + vX_[367] * vX_[338] + vX_[369] * vX_[340];
+ vX_[274] = 0 - vX_[272];
+ vX_[279] = (vX_[867] * vX_[146] + vX_[305] * vX_[164] + vX_[730] * vX_[143] + vX_[274] * vX_[157]) * 1 / vX_[148];
+ vX_[867] = vX_[382] * vX_[347] + vX_[440] * vX_[199] + vX_[867] * vX_[149] + vX_[279];
+ vX_[236] = 0 - vX_[428];
+ vX_[172] = 0 - vX_[870];
+ vX_[882] = 0 - vX_[819];
+ vX_[847] = 0 - vX_[396];
+ vX_[440] =
+ (vX_[236] * vX_[110] + vX_[440] * vX_[146] + vX_[172] * vX_[164] + vX_[882] * vX_[143] + vX_[847] * vX_[157]) *
+ 1 / vX_[148];
+ vX_[236] = vX_[236] * vX_[199] + vX_[440];
+ vX_[22] = vX_[867] * vX_[98] + vX_[236] * vX_[127];
+ vX_[949] = vX_[867] * vX_[3] + vX_[236] * vX_[98];
+ vX_[444] = vX_[819] * vX_[127] + vX_[352] * vX_[98];
+ vX_[829] = vX_[819] * vX_[98] + vX_[352] * vX_[3];
+ vX_[254] = vX_[260] + vX_[254] * vX_[154] * 2. + vX_[372] * vX_[337] + vX_[374] * vX_[341];
+ vX_[260] = vX_[254] - vX_[272];
+ vX_[159] = 0 - vX_[246];
+ vX_[254] = 0 - vX_[254];
+ vX_[271] = vX_[353] + vX_[271] * vX_[154] + vX_[372] * vX_[338] + vX_[369] * vX_[341];
+ vX_[353] = 0 - vX_[271];
+ vX_[372] = (vX_[159] * vX_[164] + vX_[254] * vX_[143] + vX_[353] * vX_[157]) * 1 / vX_[148];
+ vX_[159] =
+ vX_[396] - (vX_[383] * vX_[347] + vX_[172] * vX_[199] + vX_[305] * vX_[149] + vX_[159] * vX_[165] + vX_[372]);
+ vX_[431] = vX_[431] + vX_[369] * vX_[338];
+ vX_[287] = vX_[287] + vX_[374] * vX_[337];
+ vX_[172] = 0 - vX_[287];
+ vX_[362] = vX_[362] + vX_[374] * vX_[338] + vX_[369] * vX_[337];
+ vX_[305] = 0 - vX_[362];
+ vX_[936] = (vX_[172] * vX_[143] + vX_[305] * vX_[157]) * 1 / vX_[148];
+ vX_[842] = 0 - vX_[431];
+ vX_[315] = vX_[842] * vX_[157] * 1 / vX_[148];
+ vX_[372] = 0 - vX_[382] * vX_[328] - vX_[383] * vX_[262] - vX_[384] * vX_[359] + vX_[384] * vX_[347] -
+ vX_[385] * vX_[348] - vX_[386] * vX_[325] - vX_[440] * vX_[199] - vX_[279] * vX_[149] -
+ vX_[372] * vX_[165] - vX_[936] * vX_[158] - vX_[315] * vX_[191];
+ vX_[440] = 0 - vX_[431] + vX_[372];
+ vX_[279] = vX_[287] - vX_[431];
+ vX_[936] = vX_[385] * vX_[347] + vX_[882] * vX_[199] + vX_[730] * vX_[149] + vX_[254] * vX_[165] +
+ vX_[172] * vX_[158] + vX_[936];
+ vX_[315] = vX_[386] * vX_[347] + vX_[847] * vX_[199] + vX_[274] * vX_[149] + vX_[353] * vX_[165] +
+ vX_[305] * vX_[158] + vX_[842] * vX_[191] + vX_[315];
+ vX_[842] = 0 - vX_[315];
+ vX_[305] = vX_[440] * vX_[98] + vX_[936] * vX_[3];
+ vX_[353] = vX_[279] * vX_[98];
+ vX_[847] = vX_[440] * vX_[127] + vX_[936] * vX_[98];
+ vX_[274] = vX_[279] * vX_[3];
+ vX_[386] = vX_[847] + vX_[274];
+ vX_[315] = 0 - vX_[315];
+ vX_[172] = vX_[362] * vX_[98] + vX_[315] * vX_[3];
+ vX_[254] = vX_[362] * vX_[127] + vX_[842] * vX_[98];
+ vX_[882] = 0 - vX_[254];
+ vX_[730] = vX_[305] * vX_[127] + vX_[353] * vX_[3] + vX_[386] * vX_[98];
+ vX_[385] = vX_[431] + vX_[847] * vX_[127] + vX_[353] * vX_[98];
+ vX_[384] = vX_[431] + vX_[305] * vX_[98] + vX_[274] * vX_[3];
+ vX_[372] = vX_[287] + vX_[431] + vX_[372] - vX_[385] - vX_[384];
+ vX_[287] = 0 - vX_[372];
+ vX_[431] = (vX_[396] * vX_[127] + vX_[272] * vX_[98]) * -1;
+ vX_[383] = vX_[431] + vX_[287] * vX_[103];
+ vX_[382] = 0 - vX_[383];
+ vX_[431] = 0 - (vX_[260] * vX_[98] + vX_[159] * vX_[3]) + vX_[431];
+ vX_[767] = vX_[431] + vX_[385] * vX_[103];
+ vX_[868] = (vX_[396] * vX_[98] + vX_[272] * vX_[3]) * -1;
+ vX_[934] = vX_[868] + vX_[372] * vX_[5];
+ vX_[854] = 0 - vX_[934];
+ vX_[954] = vX_[949] * vX_[127] + vX_[829] * vX_[98];
+ vX_[751] = 0 - vX_[172];
+ vX_[243] = vX_[954] + vX_[751] * vX_[5];
+ vX_[195] = vX_[22] * vX_[127] + vX_[444] * vX_[98];
+ vX_[963] = vX_[949] * vX_[98] + vX_[829] * vX_[3];
+ vX_[271] = vX_[352] + vX_[271] + vX_[236] - vX_[195] - vX_[963];
+ vX_[91] = vX_[195] + vX_[172] * vX_[103] - vX_[271];
+ vX_[891] = 0 - vX_[254];
+ vX_[889] = sin(x_in[3]);
+ vX_[870] = 0 - vX_[870];
+ vX_[886] = 0 - vX_[384];
+ vX_[868] = vX_[260] * vX_[127] + vX_[159] * vX_[98] + vX_[868];
+ vX_[884] = 0 - (vX_[868] + vX_[730] * vX_[103] + vX_[886] * vX_[5]);
+ vX_[879] = vX_[22] * vX_[98] + vX_[444] * vX_[3];
+ vX_[759] = 0 - (vX_[879] + vX_[882] * vX_[103]);
+ vX_[271] = vX_[271] - (vX_[963] + vX_[254] * vX_[5]);
+ vX_[816] = 0 - vX_[172];
+ vX_[863] = 0 - vX_[730];
+ vX_[800] = 0 - vX_[384];
+ vX_[345] = cos(x_in[3]);
+ jac[42] = 0 -
+ (vX_[367] * vX_[324] + vX_[387] * vX_[297] + vX_[374] * vX_[332] + vX_[354] * vX_[183] +
+ vX_[356] * vX_[181] + vX_[421] * vX_[179] + vX_[244] * vX_[167] + vX_[447] * vX_[108] +
+ vX_[456] * vX_[178] + vX_[247] * vX_[177] + vX_[436] * vX_[135] + vX_[867] * vX_[144] +
+ vX_[819] * vX_[118] + vX_[396] * vX_[189] + vX_[272] * vX_[160] + vX_[236] * vX_[145] +
+ vX_[352] * vX_[112] + vX_[22] * vX_[97] + vX_[949] * vX_[115] + vX_[444] * vX_[111] +
+ vX_[829] * vX_[117] + vX_[260] * vX_[161] + vX_[159] * vX_[162] + vX_[440] * vX_[142] +
+ vX_[279] * vX_[171] + vX_[936] * vX_[139] + vX_[362] * vX_[156] + vX_[842] * vX_[155] +
+ vX_[305] * vX_[141] + vX_[353] * vX_[138] + vX_[386] * vX_[125] +
+ (vX_[172] * vX_[104] + vX_[882] * vX_[86] + vX_[730] * vX_[123] + vX_[287] * vX_[38] +
+ vX_[385] * vX_[132] + vX_[382] * vX_[134] + vX_[767] * vX_[122] + vX_[854] * vX_[135] +
+ vX_[243] * vX_[108] + vX_[91] * vX_[85] + vX_[172] * vX_[102] + vX_[891] * vX_[93] +
+ vX_[730] * vX_[106] + vX_[385] * vX_[128]) *
+ -0.304 +
+ vX_[434] * vX_[256] + vX_[394] * vX_[258] + vX_[420] * vX_[255] +
+ (vX_[369] * vX_[324] + vX_[434] * vX_[261]) * -0.304) *
+ vX_[889] +
+ (vX_[367] * vX_[327] + vX_[374] * vX_[297] + vX_[356] * vX_[180] + vX_[421] * vX_[183] +
+ vX_[870] * vX_[167] + vX_[247] * vX_[135] + vX_[280] * vX_[178] + vX_[867] * vX_[145] +
+ vX_[272] * vX_[189] + vX_[352] * vX_[118] + vX_[444] * vX_[97] + vX_[829] * vX_[115] +
+ vX_[159] * vX_[161] + vX_[279] * vX_[126] + vX_[936] * vX_[142] + vX_[315] * vX_[156] +
+ vX_[353] * vX_[125] + vX_[274] * vX_[141] + vX_[441] * vX_[256] + vX_[420] * vX_[258] +
+ (vX_[369] * vX_[327] +
+ (vX_[751] * vX_[116] + vX_[254] * vX_[109] + vX_[372] * vX_[136] + vX_[886] * vX_[123] +
+ vX_[383] * vX_[135] + vX_[934] * vX_[121] + vX_[884] * vX_[122] + vX_[759] * vX_[85] +
+ vX_[271] * vX_[108] + vX_[816] * vX_[95] + vX_[254] * vX_[114] + vX_[863] * vX_[124] +
+ vX_[800] * vX_[82]) *
+ -1 +
+ vX_[441] * vX_[261]) *
+ -0.304 -
+ (vX_[387] * vX_[332] + vX_[354] * vX_[179] + vX_[244] * vX_[108] + vX_[273] * vX_[177] +
+ vX_[456] * vX_[135] + vX_[819] * vX_[112] + vX_[396] * vX_[160] + vX_[236] * vX_[144] +
+ vX_[22] * vX_[111] + vX_[949] * vX_[117] + vX_[260] * vX_[162] + vX_[440] * vX_[139] +
+ vX_[362] * vX_[155] + vX_[847] * vX_[138] + vX_[305] * vX_[125] + vX_[394] * vX_[255])) *
+ vX_[345];
+ vX_[363] = vX_[523] + vX_[373] * vX_[151] + vX_[363] * vX_[1];
+ vX_[371] = vX_[523] + vX_[371] * vX_[2] + vX_[257] * vX_[151];
+ vX_[515] = vX_[515] + vX_[527] + vX_[523] - vX_[363] - vX_[371];
+ vX_[371] = vX_[371] + vX_[407] * vX_[154] + vX_[459] * vX_[341];
+ vX_[407] = vX_[515] - vX_[371];
+ vX_[363] = vX_[363] + vX_[408] * vX_[154] + vX_[451] * vX_[340];
+ vX_[408] = vX_[363] - vX_[371];
+ vX_[508] = 0 - (vX_[534] * vX_[2] + vX_[508] * vX_[151]) + vX_[446] * vX_[154];
+ vX_[368] = vX_[373] * vX_[2] + vX_[368] * vX_[151] + vX_[257] * vX_[1] + vX_[943] * vX_[154] + vX_[451] * vX_[341] +
+ vX_[459] * vX_[340];
+ vX_[442] = vX_[534] * vX_[151] + vX_[543] * vX_[1] + vX_[442] * vX_[154];
+ vX_[534] = 0 - vX_[442];
+ vX_[543] = vX_[407] * vX_[98] + vX_[508] * vX_[3];
+ vX_[373] = vX_[408] * vX_[98];
+ vX_[943] = vX_[407] * vX_[127] + vX_[508] * vX_[98];
+ vX_[257] = vX_[408] * vX_[3];
+ vX_[523] = vX_[943] + vX_[257];
+ vX_[527] = 0 - vX_[508];
+ vX_[886] = 0 - vX_[363];
+ vX_[751] = 0 - vX_[368];
+ vX_[173] = vX_[173] + vX_[435] * vX_[154] + vX_[451] * vX_[337] + vX_[461] * vX_[340];
+ vX_[287] = 0 - vX_[173];
+ vX_[877] = vX_[877] + vX_[518] * vX_[154] * 2. + vX_[451] * vX_[338] + vX_[397] * vX_[340];
+ vX_[372] = 0 - vX_[877];
+ vX_[882] = (vX_[886] * vX_[146] + vX_[751] * vX_[164] + vX_[287] * vX_[143] + vX_[372] * vX_[157]) * 1 / vX_[148];
+ vX_[886] = vX_[469] * vX_[347] + vX_[527] * vX_[199] + vX_[886] * vX_[149] + vX_[882];
+ vX_[315] = 0 - vX_[515];
+ vX_[386] = 0 - vX_[442];
+ vX_[274] = 0 - vX_[411];
+ vX_[847] = 0 - vX_[446];
+ vX_[527] =
+ (vX_[315] * vX_[110] + vX_[527] * vX_[146] + vX_[386] * vX_[164] + vX_[274] * vX_[143] + vX_[847] * vX_[157]) *
+ 1 / vX_[148];
+ vX_[315] = vX_[315] * vX_[199] + vX_[527];
+ vX_[353] = vX_[886] * vX_[98] + vX_[315] * vX_[127];
+ vX_[305] = vX_[886] * vX_[3] + vX_[315] * vX_[98];
+ vX_[842] = vX_[411] * vX_[127] + vX_[173] * vX_[98];
+ vX_[936] = vX_[411] * vX_[98] + vX_[173] * vX_[3];
+ vX_[412] = vX_[874] + vX_[412] * vX_[154] * 2. + vX_[459] * vX_[337] + vX_[461] * vX_[341];
+ vX_[874] = vX_[412] - vX_[877];
+ vX_[279] = 0 - vX_[371];
+ vX_[412] = 0 - vX_[412];
+ vX_[430] = vX_[423] + vX_[430] * vX_[154] + vX_[459] * vX_[338] + vX_[397] * vX_[341];
+ vX_[423] = 0 - vX_[430];
+ vX_[459] = (vX_[279] * vX_[164] + vX_[412] * vX_[143] + vX_[423] * vX_[157]) * 1 / vX_[148];
+ vX_[279] =
+ vX_[446] - (vX_[470] * vX_[347] + vX_[386] * vX_[199] + vX_[751] * vX_[149] + vX_[279] * vX_[165] + vX_[459]);
+ vX_[518] = vX_[518] + vX_[397] * vX_[338];
+ vX_[426] = vX_[426] + vX_[461] * vX_[337];
+ vX_[386] = 0 - vX_[426];
+ vX_[435] = vX_[435] + vX_[461] * vX_[338] + vX_[397] * vX_[337];
+ vX_[751] = 0 - vX_[435];
+ vX_[440] = (vX_[386] * vX_[143] + vX_[751] * vX_[157]) * 1 / vX_[148];
+ vX_[362] = 0 - vX_[518];
+ vX_[159] = vX_[362] * vX_[157] * 1 / vX_[148];
+ vX_[459] = 0 - vX_[469] * vX_[328] - vX_[470] * vX_[262] - vX_[471] * vX_[359] + vX_[471] * vX_[347] -
+ vX_[472] * vX_[348] - vX_[473] * vX_[325] - vX_[527] * vX_[199] - vX_[882] * vX_[149] -
+ vX_[459] * vX_[165] - vX_[440] * vX_[158] - vX_[159] * vX_[191];
+ vX_[527] = 0 - vX_[518] + vX_[459];
+ vX_[882] = vX_[426] - vX_[518];
+ vX_[440] = vX_[472] * vX_[347] + vX_[274] * vX_[199] + vX_[287] * vX_[149] + vX_[412] * vX_[165] +
+ vX_[386] * vX_[158] + vX_[440];
+ vX_[159] = vX_[473] * vX_[347] + vX_[847] * vX_[199] + vX_[372] * vX_[149] + vX_[423] * vX_[165] +
+ vX_[751] * vX_[158] + vX_[362] * vX_[191] + vX_[159];
+ vX_[362] = 0 - vX_[159];
+ vX_[751] = vX_[527] * vX_[98] + vX_[440] * vX_[3];
+ vX_[423] = vX_[882] * vX_[98];
+ vX_[847] = vX_[527] * vX_[127] + vX_[440] * vX_[98];
+ vX_[372] = vX_[882] * vX_[3];
+ vX_[473] = vX_[847] + vX_[372];
+ vX_[159] = 0 - vX_[159];
+ vX_[386] = vX_[435] * vX_[98] + vX_[159] * vX_[3];
+ vX_[412] = vX_[435] * vX_[127] + vX_[362] * vX_[98];
+ vX_[274] = 0 - vX_[412];
+ vX_[287] = vX_[751] * vX_[127] + vX_[423] * vX_[3] + vX_[473] * vX_[98];
+ vX_[472] = vX_[518] + vX_[847] * vX_[127] + vX_[423] * vX_[98];
+ vX_[471] = vX_[518] + vX_[751] * vX_[98] + vX_[372] * vX_[3];
+ vX_[459] = vX_[426] + vX_[518] + vX_[459] - vX_[472] - vX_[471];
+ vX_[426] = 0 - vX_[459];
+ vX_[518] = (vX_[446] * vX_[127] + vX_[877] * vX_[98]) * -1;
+ vX_[470] = vX_[518] + vX_[426] * vX_[103];
+ vX_[469] = 0 - vX_[470];
+ vX_[518] = 0 - (vX_[874] * vX_[98] + vX_[279] * vX_[3]) + vX_[518];
+ vX_[260] = vX_[518] + vX_[472] * vX_[103];
+ vX_[829] = (vX_[446] * vX_[98] + vX_[877] * vX_[3]) * -1;
+ vX_[444] = vX_[829] + vX_[459] * vX_[5];
+ vX_[949] = 0 - vX_[444];
+ vX_[22] = vX_[305] * vX_[127] + vX_[936] * vX_[98];
+ vX_[236] = 0 - vX_[386];
+ vX_[867] = vX_[22] + vX_[236] * vX_[5];
+ vX_[272] = vX_[353] * vX_[127] + vX_[842] * vX_[98];
+ vX_[352] = vX_[305] * vX_[98] + vX_[936] * vX_[3];
+ vX_[430] = vX_[173] + vX_[430] + vX_[315] - vX_[272] - vX_[352];
+ vX_[421] = vX_[272] + vX_[386] * vX_[103] - vX_[430];
+ vX_[356] = 0 - vX_[412];
+ vX_[442] = 0 - vX_[442];
+ vX_[354] = 0 - vX_[471];
+ vX_[829] = vX_[874] * vX_[127] + vX_[279] * vX_[98] + vX_[829];
+ vX_[396] = 0 - (vX_[829] + vX_[287] * vX_[103] + vX_[354] * vX_[5]);
+ vX_[819] = vX_[353] * vX_[98] + vX_[842] * vX_[3];
+ vX_[420] = 0 - (vX_[819] + vX_[274] * vX_[103]);
+ vX_[430] = vX_[430] - (vX_[352] + vX_[412] * vX_[5]);
+ vX_[394] = 0 - vX_[386];
+ vX_[441] = 0 - vX_[287];
+ vX_[434] = 0 - vX_[471];
+ jac[43] = 0 -
+ (vX_[451] * vX_[324] + vX_[474] * vX_[297] + vX_[461] * vX_[332] + vX_[407] * vX_[183] +
+ vX_[408] * vX_[181] + vX_[508] * vX_[179] + vX_[368] * vX_[167] + vX_[534] * vX_[108] +
+ vX_[543] * vX_[178] + vX_[373] * vX_[177] + vX_[523] * vX_[135] + vX_[886] * vX_[144] +
+ vX_[411] * vX_[118] + vX_[446] * vX_[189] + vX_[877] * vX_[160] + vX_[315] * vX_[145] +
+ vX_[173] * vX_[112] + vX_[353] * vX_[97] + vX_[305] * vX_[115] + vX_[842] * vX_[111] +
+ vX_[936] * vX_[117] + vX_[874] * vX_[161] + vX_[279] * vX_[162] + vX_[527] * vX_[142] +
+ vX_[882] * vX_[171] + vX_[440] * vX_[139] + vX_[435] * vX_[156] + vX_[362] * vX_[155] +
+ vX_[751] * vX_[141] + vX_[423] * vX_[138] + vX_[473] * vX_[125] +
+ (vX_[386] * vX_[104] + vX_[274] * vX_[86] + vX_[287] * vX_[123] + vX_[426] * vX_[38] +
+ vX_[472] * vX_[132] + vX_[469] * vX_[134] + vX_[260] * vX_[122] + vX_[949] * vX_[135] +
+ vX_[867] * vX_[108] + vX_[421] * vX_[85] + vX_[386] * vX_[102] + vX_[356] * vX_[93] +
+ vX_[287] * vX_[106] + vX_[472] * vX_[128]) *
+ -0.304 +
+ vX_[521] * vX_[256] + vX_[481] * vX_[258] + vX_[507] * vX_[255] +
+ (vX_[397] * vX_[324] + vX_[521] * vX_[261]) * -0.304) *
+ vX_[889] +
+ (vX_[451] * vX_[327] + vX_[461] * vX_[297] + vX_[408] * vX_[180] + vX_[508] * vX_[183] +
+ vX_[442] * vX_[167] + vX_[373] * vX_[135] + vX_[257] * vX_[178] + vX_[886] * vX_[145] +
+ vX_[877] * vX_[189] + vX_[173] * vX_[118] + vX_[842] * vX_[97] + vX_[936] * vX_[115] +
+ vX_[279] * vX_[161] + vX_[882] * vX_[126] + vX_[440] * vX_[142] + vX_[159] * vX_[156] +
+ vX_[423] * vX_[125] + vX_[372] * vX_[141] + vX_[528] * vX_[256] + vX_[507] * vX_[258] +
+ (vX_[397] * vX_[327] +
+ (vX_[236] * vX_[116] + vX_[412] * vX_[109] + vX_[459] * vX_[136] + vX_[354] * vX_[123] +
+ vX_[470] * vX_[135] + vX_[444] * vX_[121] + vX_[396] * vX_[122] + vX_[420] * vX_[85] +
+ vX_[430] * vX_[108] + vX_[394] * vX_[95] + vX_[412] * vX_[114] + vX_[441] * vX_[124] +
+ vX_[434] * vX_[82]) *
+ -1 +
+ vX_[528] * vX_[261]) *
+ -0.304 -
+ (vX_[474] * vX_[332] + vX_[407] * vX_[179] + vX_[368] * vX_[108] + vX_[943] * vX_[177] +
+ vX_[543] * vX_[135] + vX_[411] * vX_[112] + vX_[446] * vX_[160] + vX_[315] * vX_[144] +
+ vX_[353] * vX_[111] + vX_[305] * vX_[117] + vX_[874] * vX_[162] + vX_[527] * vX_[139] +
+ vX_[435] * vX_[155] + vX_[847] * vX_[138] + vX_[751] * vX_[125] + vX_[481] * vX_[255])) *
+ vX_[345];
+ vX_[872] = vX_[617] + vX_[517] * vX_[151] + vX_[872] * vX_[1];
+ vX_[499] = vX_[617] + vX_[499] * vX_[2] + vX_[876] * vX_[151];
+ vX_[609] = vX_[609] + vX_[621] + vX_[617] - vX_[872] - vX_[499];
+ vX_[499] = vX_[499] + vX_[533] * vX_[154] + vX_[553] * vX_[341];
+ vX_[533] = vX_[609] - vX_[499];
+ vX_[872] = vX_[872] + vX_[878] * vX_[154] + vX_[548] * vX_[340];
+ vX_[878] = vX_[872] - vX_[499];
+ vX_[602] = 0 - (vX_[628] * vX_[2] + vX_[602] * vX_[151]) + vX_[873] * vX_[154];
+ vX_[460] = vX_[517] * vX_[2] + vX_[460] * vX_[151] + vX_[876] * vX_[1] + vX_[415] * vX_[154] + vX_[548] * vX_[341] +
+ vX_[553] * vX_[340];
+ vX_[482] = vX_[628] * vX_[151] + vX_[637] * vX_[1] + vX_[482] * vX_[154];
+ vX_[628] = 0 - vX_[482];
+ vX_[637] = vX_[533] * vX_[98] + vX_[602] * vX_[3];
+ vX_[517] = vX_[878] * vX_[98];
+ vX_[415] = vX_[533] * vX_[127] + vX_[602] * vX_[98];
+ vX_[876] = vX_[878] * vX_[3];
+ vX_[617] = vX_[415] + vX_[876];
+ vX_[152] = vX_[153] * vX_[0] + vX_[152] * vX_[215] + vX_[1] * vX_[414] + vX_[340];
+ vX_[621] = 0 - vX_[602];
+ vX_[354] = 0 - vX_[872];
+ vX_[236] = 0 - vX_[460];
+ vX_[450] = vX_[450] + vX_[484] * vX_[154] + vX_[548] * vX_[337] + vX_[555] * vX_[340];
+ vX_[426] = 0 - vX_[450];
+ vX_[494] = vX_[494] + vX_[612] * vX_[154] * 2. + vX_[548] * vX_[338] + vX_[550] * vX_[340];
+ vX_[459] = 0 - vX_[494];
+ vX_[274] = (vX_[354] * vX_[146] + vX_[236] * vX_[164] + vX_[426] * vX_[143] + vX_[459] * vX_[157]) * 1 / vX_[148];
+ vX_[354] = vX_[537] * vX_[152] + vX_[563] * vX_[347] + vX_[621] * vX_[199] + vX_[354] * vX_[149] + vX_[274];
+ vX_[537] = 0 - vX_[609];
+ vX_[159] = 0 - vX_[482];
+ vX_[473] = 0 - vX_[346];
+ vX_[372] = 0 - vX_[873];
+ vX_[621] =
+ (vX_[537] * vX_[110] + vX_[621] * vX_[146] + vX_[159] * vX_[164] + vX_[473] * vX_[143] + vX_[372] * vX_[157]) *
+ 1 / vX_[148];
+ vX_[537] = vX_[577] * vX_[439] + vX_[537] * vX_[199] + vX_[621];
+ vX_[577] = vX_[354] * vX_[98] + vX_[537] * vX_[127];
+ vX_[847] = vX_[354] * vX_[3] + vX_[537] * vX_[98];
+ vX_[423] = vX_[346] * vX_[127] + vX_[450] * vX_[98];
+ vX_[751] = vX_[346] * vX_[98] + vX_[450] * vX_[3];
+ vX_[875] = vX_[525] + vX_[875] * vX_[154] * 2. + vX_[553] * vX_[337] + vX_[555] * vX_[341];
+ vX_[525] = vX_[875] - vX_[494];
+ vX_[414] = vX_[265] * vX_[0] + vX_[264] * vX_[215] + vX_[151] * vX_[414] + vX_[341];
+ vX_[264] = 0 - vX_[499];
+ vX_[875] = 0 - vX_[875];
+ vX_[510] = vX_[495] + vX_[510] * vX_[154] + vX_[553] * vX_[338] + vX_[550] * vX_[341];
+ vX_[495] = 0 - vX_[510];
+ vX_[553] = (vX_[264] * vX_[164] + vX_[875] * vX_[143] + vX_[495] * vX_[157]) * 1 / vX_[148];
+ vX_[264] = vX_[873] - (vX_[545] * vX_[414] + vX_[564] * vX_[347] + vX_[159] * vX_[199] + vX_[236] * vX_[149] +
+ vX_[264] * vX_[165] + vX_[553]);
+ vX_[612] = vX_[612] + vX_[550] * vX_[338];
+ vX_[159] = vX_[151] * vX_[0] + vX_[1] * vX_[215] + vX_[337];
+ vX_[0] = vX_[2] * vX_[0] + vX_[151] * vX_[215] + vX_[338];
+ vX_[215] = (vX_[347] - vX_[148] * vX_[355] - vX_[143] * vX_[159] - vX_[157] * vX_[0] - vX_[110] * vX_[439] -
+ vX_[146] * vX_[152] - vX_[164] * vX_[414]) /
+ vX_[148];
+ vX_[364] = vX_[364] + vX_[555] * vX_[337];
+ vX_[236] = 0 - vX_[364];
+ vX_[484] = vX_[484] + vX_[555] * vX_[338] + vX_[550] * vX_[337];
+ vX_[545] = 0 - vX_[484];
+ vX_[362] = (vX_[236] * vX_[143] + vX_[545] * vX_[157]) * 1 / vX_[148];
+ vX_[440] = 0 - vX_[612];
+ vX_[882] = vX_[440] * vX_[157] * 1 / vX_[148];
+ vX_[553] = 0 - vX_[512] * vX_[215] + vX_[454] * vX_[355] - vX_[563] * vX_[328] - vX_[564] * vX_[262] -
+ vX_[565] * vX_[359] + vX_[565] * vX_[347] - vX_[566] * vX_[348] - vX_[567] * vX_[325] -
+ vX_[621] * vX_[199] - vX_[274] * vX_[149] - vX_[553] * vX_[165] - vX_[362] * vX_[158] -
+ vX_[882] * vX_[191];
+ vX_[621] = 0 - vX_[612] + vX_[553];
+ vX_[274] = vX_[364] - vX_[612];
+ vX_[362] = vX_[248] * vX_[159] + vX_[566] * vX_[347] + vX_[473] * vX_[199] + vX_[426] * vX_[149] +
+ vX_[875] * vX_[165] + vX_[236] * vX_[158] + vX_[362];
+ vX_[882] = vX_[284] * vX_[0] + vX_[567] * vX_[347] + vX_[372] * vX_[199] + vX_[459] * vX_[149] +
+ vX_[495] * vX_[165] + vX_[545] * vX_[158] + vX_[440] * vX_[191] + vX_[882];
+ vX_[440] = 0 - vX_[882];
+ vX_[545] = vX_[621] * vX_[98] + vX_[362] * vX_[3];
+ vX_[495] = vX_[274] * vX_[98];
+ vX_[372] = vX_[621] * vX_[127] + vX_[362] * vX_[98];
+ vX_[459] = vX_[274] * vX_[3];
+ vX_[567] = vX_[372] + vX_[459];
+ vX_[882] = 0 - vX_[882];
+ vX_[284] = vX_[484] * vX_[98] + vX_[882] * vX_[3];
+ vX_[236] = vX_[484] * vX_[127] + vX_[440] * vX_[98];
+ vX_[875] = 0 - vX_[236];
+ vX_[473] = vX_[545] * vX_[127] + vX_[495] * vX_[3] + vX_[567] * vX_[98];
+ vX_[426] = vX_[612] + vX_[372] * vX_[127] + vX_[495] * vX_[98];
+ vX_[566] = vX_[612] + vX_[545] * vX_[98] + vX_[459] * vX_[3];
+ vX_[553] = vX_[364] + vX_[612] + vX_[553] - vX_[426] - vX_[566];
+ vX_[364] = 0 - vX_[553];
+ vX_[612] = (vX_[873] * vX_[127] + vX_[494] * vX_[98]) * -1;
+ vX_[248] = vX_[612] + vX_[364] * vX_[103];
+ vX_[565] = 0 - vX_[248];
+ vX_[612] = 0 - (vX_[525] * vX_[98] + vX_[264] * vX_[3]) + vX_[612];
+ vX_[564] = vX_[612] + vX_[426] * vX_[103];
+ vX_[563] = (vX_[873] * vX_[98] + vX_[494] * vX_[3]) * -1;
+ vX_[454] = vX_[563] + vX_[553] * vX_[5];
+ vX_[512] = 0 - vX_[454];
+ vX_[527] = vX_[847] * vX_[127] + vX_[751] * vX_[98];
+ vX_[435] = 0 - vX_[284];
+ vX_[279] = vX_[527] + vX_[435] * vX_[5];
+ vX_[874] = vX_[577] * vX_[127] + vX_[423] * vX_[98];
+ vX_[936] = vX_[847] * vX_[98] + vX_[751] * vX_[3];
+ vX_[510] = vX_[450] + vX_[510] + vX_[537] - vX_[874] - vX_[936];
+ vX_[842] = vX_[874] + vX_[284] * vX_[103] - vX_[510];
+ vX_[305] = 0 - vX_[236];
+ vX_[482] = 0 - vX_[482];
+ vX_[353] = 0 - vX_[566];
+ vX_[563] = vX_[525] * vX_[127] + vX_[264] * vX_[98] + vX_[563];
+ vX_[315] = 0 - (vX_[563] + vX_[473] * vX_[103] + vX_[353] * vX_[5]);
+ vX_[886] = vX_[577] * vX_[98] + vX_[423] * vX_[3];
+ vX_[877] = 0 - (vX_[886] + vX_[875] * vX_[103]);
+ vX_[510] = vX_[510] - (vX_[936] + vX_[236] * vX_[5]);
+ vX_[173] = 0 - vX_[284];
+ vX_[508] = 0 - vX_[473];
+ vX_[408] = 0 - vX_[566];
+ jac[44] = 0 -
+ (vX_[548] * vX_[324] + vX_[568] * vX_[297] + vX_[555] * vX_[332] + vX_[533] * vX_[183] +
+ vX_[878] * vX_[181] + vX_[602] * vX_[179] + vX_[460] * vX_[167] + vX_[628] * vX_[108] +
+ vX_[637] * vX_[178] + vX_[517] * vX_[177] + vX_[617] * vX_[135] + vX_[354] * vX_[144] +
+ vX_[346] * vX_[118] + vX_[873] * vX_[189] + vX_[494] * vX_[160] + vX_[537] * vX_[145] +
+ vX_[450] * vX_[112] + vX_[577] * vX_[97] + vX_[847] * vX_[115] + vX_[423] * vX_[111] +
+ vX_[751] * vX_[117] + vX_[525] * vX_[161] + vX_[264] * vX_[162] + vX_[621] * vX_[142] +
+ vX_[274] * vX_[171] + vX_[362] * vX_[139] + vX_[484] * vX_[156] + vX_[440] * vX_[155] +
+ vX_[545] * vX_[141] + vX_[495] * vX_[138] + vX_[567] * vX_[125] +
+ (vX_[284] * vX_[104] + vX_[875] * vX_[86] + vX_[473] * vX_[123] + vX_[364] * vX_[38] +
+ vX_[426] * vX_[132] + vX_[565] * vX_[134] + vX_[564] * vX_[122] + vX_[512] * vX_[135] +
+ vX_[279] * vX_[108] + vX_[842] * vX_[85] + vX_[284] * vX_[102] + vX_[305] * vX_[93] +
+ vX_[473] * vX_[106] + vX_[426] * vX_[128]) *
+ -0.304 +
+ vX_[615] * vX_[256] + vX_[575] * vX_[258] + vX_[601] * vX_[255] +
+ (vX_[550] * vX_[324] + vX_[615] * vX_[261]) * -0.304) *
+ vX_[889] +
+ (vX_[548] * vX_[327] + vX_[555] * vX_[297] + vX_[878] * vX_[180] + vX_[602] * vX_[183] +
+ vX_[482] * vX_[167] + vX_[517] * vX_[135] + vX_[876] * vX_[178] + vX_[354] * vX_[145] +
+ vX_[494] * vX_[189] + vX_[450] * vX_[118] + vX_[423] * vX_[97] + vX_[751] * vX_[115] +
+ vX_[264] * vX_[161] + vX_[274] * vX_[126] + vX_[362] * vX_[142] + vX_[882] * vX_[156] +
+ vX_[495] * vX_[125] + vX_[459] * vX_[141] + vX_[622] * vX_[256] + vX_[601] * vX_[258] +
+ (vX_[550] * vX_[327] +
+ (vX_[435] * vX_[116] + vX_[236] * vX_[109] + vX_[553] * vX_[136] + vX_[353] * vX_[123] +
+ vX_[248] * vX_[135] + vX_[454] * vX_[121] + vX_[315] * vX_[122] + vX_[877] * vX_[85] +
+ vX_[510] * vX_[108] + vX_[173] * vX_[95] + vX_[236] * vX_[114] + vX_[508] * vX_[124] +
+ vX_[408] * vX_[82]) *
+ -1 +
+ vX_[622] * vX_[261]) *
+ -0.304 -
+ (vX_[568] * vX_[332] + vX_[533] * vX_[179] + vX_[460] * vX_[108] + vX_[415] * vX_[177] +
+ vX_[637] * vX_[135] + vX_[346] * vX_[112] + vX_[873] * vX_[160] + vX_[537] * vX_[144] +
+ vX_[577] * vX_[111] + vX_[847] * vX_[117] + vX_[525] * vX_[162] + vX_[621] * vX_[139] +
+ vX_[484] * vX_[155] + vX_[372] * vX_[138] + vX_[545] * vX_[125] + vX_[575] * vX_[255])) *
+ vX_[345];
+ vX_[353] = vX_[355] + vX_[215];
+ vX_[501] = vX_[722] + vX_[611] * vX_[151] + vX_[501] * vX_[1];
+ vX_[593] = vX_[722] + vX_[593] * vX_[2] + vX_[242] * vX_[151];
+ vX_[714] = vX_[714] + vX_[726] + vX_[722] - vX_[501] - vX_[593];
+ vX_[593] = vX_[593] + vX_[627] * vX_[154] + vX_[658] * vX_[341];
+ vX_[627] = vX_[714] - vX_[593];
+ vX_[501] = vX_[501] + vX_[453] * vX_[154] + vX_[653] * vX_[340];
+ vX_[453] = vX_[501] - vX_[593];
+ vX_[707] = 0 - (vX_[733] * vX_[2] + vX_[707] * vX_[151]) + vX_[513] * vX_[154];
+ vX_[554] = vX_[611] * vX_[2] + vX_[554] * vX_[151] + vX_[242] * vX_[1] + vX_[483] * vX_[154] + vX_[653] * vX_[341] +
+ vX_[658] * vX_[340];
+ vX_[649] = vX_[733] * vX_[151] + vX_[742] * vX_[1] + vX_[649] * vX_[154];
+ vX_[733] = 0 - vX_[649];
+ vX_[742] = vX_[627] * vX_[98] + vX_[707] * vX_[3];
+ vX_[611] = vX_[453] * vX_[98];
+ vX_[483] = vX_[627] * vX_[127] + vX_[707] * vX_[98];
+ vX_[242] = vX_[453] * vX_[3];
+ vX_[722] = vX_[483] + vX_[242];
+ vX_[726] = 0 - vX_[707];
+ vX_[435] = 0 - vX_[501];
+ vX_[364] = 0 - vX_[554];
+ vX_[331] = vX_[331] + vX_[648] * vX_[154] + vX_[653] * vX_[337] + vX_[660] * vX_[340];
+ vX_[553] = 0 - vX_[331];
+ vX_[588] = vX_[588] + vX_[717] * vX_[154] * 2. + vX_[653] * vX_[338] + vX_[655] * vX_[340];
+ vX_[875] = 0 - vX_[588];
+ vX_[882] = (vX_[435] * vX_[146] + vX_[364] * vX_[164] + vX_[553] * vX_[143] + vX_[875] * vX_[157]) * 1 / vX_[148];
+ vX_[435] = vX_[529] * vX_[152] + vX_[668] * vX_[347] + vX_[726] * vX_[199] + vX_[435] * vX_[149] + vX_[882];
+ vX_[529] = 0 - vX_[714];
+ vX_[567] = 0 - vX_[649];
+ vX_[459] = 0 - vX_[630];
+ vX_[372] = 0 - vX_[513];
+ vX_[726] =
+ (vX_[529] * vX_[110] + vX_[726] * vX_[146] + vX_[567] * vX_[164] + vX_[459] * vX_[143] + vX_[372] * vX_[157]) *
+ 1 / vX_[148];
+ vX_[529] = vX_[737] * vX_[439] + vX_[529] * vX_[199] + vX_[726];
+ vX_[737] = vX_[435] * vX_[98] + vX_[529] * vX_[127];
+ vX_[495] = vX_[435] * vX_[3] + vX_[529] * vX_[98];
+ vX_[545] = vX_[630] * vX_[127] + vX_[331] * vX_[98];
+ vX_[440] = vX_[630] * vX_[98] + vX_[331] * vX_[3];
+ vX_[425] = vX_[619] + vX_[425] * vX_[154] * 2. + vX_[658] * vX_[337] + vX_[660] * vX_[341];
+ vX_[619] = vX_[425] - vX_[588];
+ vX_[362] = 0 - vX_[593];
+ vX_[425] = 0 - vX_[425];
+ vX_[604] = vX_[589] + vX_[604] * vX_[154] + vX_[658] * vX_[338] + vX_[655] * vX_[341];
+ vX_[589] = 0 - vX_[604];
+ vX_[658] = (vX_[362] * vX_[164] + vX_[425] * vX_[143] + vX_[589] * vX_[157]) * 1 / vX_[148];
+ vX_[362] = vX_[513] - (vX_[252] * vX_[414] + vX_[669] * vX_[347] + vX_[567] * vX_[199] + vX_[364] * vX_[149] +
+ vX_[362] * vX_[165] + vX_[658]);
+ vX_[717] = vX_[717] + vX_[655] * vX_[338];
+ vX_[531] = vX_[531] + vX_[660] * vX_[337];
+ vX_[567] = 0 - vX_[531];
+ vX_[648] = vX_[648] + vX_[660] * vX_[338] + vX_[655] * vX_[337];
+ vX_[364] = 0 - vX_[648];
+ vX_[252] = (vX_[567] * vX_[143] + vX_[364] * vX_[157]) * 1 / vX_[148];
+ vX_[274] = 0 - vX_[717];
+ vX_[621] = vX_[274] * vX_[157] * 1 / vX_[148];
+ vX_[658] = 0 - vX_[540] * vX_[215] + vX_[576] * vX_[355] - vX_[668] * vX_[328] - vX_[669] * vX_[262] -
+ vX_[670] * vX_[359] + vX_[670] * vX_[347] - vX_[671] * vX_[348] - vX_[672] * vX_[325] -
+ vX_[726] * vX_[199] - vX_[882] * vX_[149] - vX_[658] * vX_[165] - vX_[252] * vX_[158] -
+ vX_[621] * vX_[191];
+ vX_[726] = 0 - vX_[717] + vX_[658];
+ vX_[882] = vX_[531] - vX_[717];
+ vX_[252] = vX_[608] * vX_[159] + vX_[671] * vX_[347] + vX_[459] * vX_[199] + vX_[553] * vX_[149] +
+ vX_[425] * vX_[165] + vX_[567] * vX_[158] + vX_[252];
+ vX_[621] = vX_[623] * vX_[0] + vX_[672] * vX_[347] + vX_[372] * vX_[199] + vX_[875] * vX_[149] +
+ vX_[589] * vX_[165] + vX_[364] * vX_[158] + vX_[274] * vX_[191] + vX_[621];
+ vX_[274] = 0 - vX_[621];
+ vX_[364] = vX_[726] * vX_[98] + vX_[252] * vX_[3];
+ vX_[589] = vX_[882] * vX_[98];
+ vX_[372] = vX_[726] * vX_[127] + vX_[252] * vX_[98];
+ vX_[875] = vX_[882] * vX_[3];
+ vX_[672] = vX_[372] + vX_[875];
+ vX_[621] = 0 - vX_[621];
+ vX_[623] = vX_[648] * vX_[98] + vX_[621] * vX_[3];
+ vX_[567] = vX_[648] * vX_[127] + vX_[274] * vX_[98];
+ vX_[425] = 0 - vX_[567];
+ vX_[459] = vX_[364] * vX_[127] + vX_[589] * vX_[3] + vX_[672] * vX_[98];
+ vX_[553] = vX_[717] + vX_[372] * vX_[127] + vX_[589] * vX_[98];
+ vX_[671] = vX_[717] + vX_[364] * vX_[98] + vX_[875] * vX_[3];
+ vX_[658] = vX_[531] + vX_[717] + vX_[658] - vX_[553] - vX_[671];
+ vX_[531] = 0 - vX_[658];
+ vX_[717] = (vX_[513] * vX_[127] + vX_[588] * vX_[98]) * -1;
+ vX_[608] = vX_[717] + vX_[531] * vX_[103];
+ vX_[670] = 0 - vX_[608];
+ vX_[717] = 0 - (vX_[619] * vX_[98] + vX_[362] * vX_[3]) + vX_[717];
+ vX_[669] = vX_[717] + vX_[553] * vX_[103];
+ vX_[668] = (vX_[513] * vX_[98] + vX_[588] * vX_[3]) * -1;
+ vX_[576] = vX_[668] + vX_[658] * vX_[5];
+ vX_[540] = 0 - vX_[576];
+ vX_[484] = vX_[495] * vX_[127] + vX_[440] * vX_[98];
+ vX_[264] = 0 - vX_[623];
+ vX_[525] = vX_[484] + vX_[264] * vX_[5];
+ vX_[751] = vX_[737] * vX_[127] + vX_[545] * vX_[98];
+ vX_[423] = vX_[495] * vX_[98] + vX_[440] * vX_[3];
+ vX_[604] = vX_[331] + vX_[604] + vX_[529] - vX_[751] - vX_[423];
+ vX_[847] = vX_[751] + vX_[623] * vX_[103] - vX_[604];
+ vX_[577] = 0 - vX_[567];
+ vX_[649] = 0 - vX_[649];
+ vX_[537] = 0 - vX_[671];
+ vX_[668] = vX_[619] * vX_[127] + vX_[362] * vX_[98] + vX_[668];
+ vX_[354] = 0 - (vX_[668] + vX_[459] * vX_[103] + vX_[537] * vX_[5]);
+ vX_[494] = vX_[737] * vX_[98] + vX_[545] * vX_[3];
+ vX_[450] = 0 - (vX_[494] + vX_[425] * vX_[103]);
+ vX_[604] = vX_[604] - (vX_[423] + vX_[567] * vX_[5]);
+ vX_[602] = 0 - vX_[623];
+ vX_[878] = 0 - vX_[459];
+ vX_[533] = 0 - vX_[671];
+ jac[45] = 0 -
+ (vX_[592] * vX_[152] + vX_[635] * vX_[439] + vX_[538] * vX_[159] + vX_[524] * vX_[353] +
+ vX_[653] * vX_[324] + vX_[673] * vX_[297] + vX_[660] * vX_[332] + vX_[627] * vX_[183] +
+ vX_[453] * vX_[181] + vX_[707] * vX_[179] + vX_[554] * vX_[167] + vX_[733] * vX_[108] +
+ vX_[742] * vX_[178] + vX_[611] * vX_[177] + vX_[722] * vX_[135] + vX_[435] * vX_[144] +
+ vX_[630] * vX_[118] + vX_[513] * vX_[189] + vX_[588] * vX_[160] + vX_[529] * vX_[145] +
+ vX_[331] * vX_[112] + vX_[737] * vX_[97] + vX_[495] * vX_[115] + vX_[545] * vX_[111] +
+ vX_[440] * vX_[117] + vX_[619] * vX_[161] + vX_[362] * vX_[162] + vX_[726] * vX_[142] +
+ vX_[882] * vX_[171] + vX_[252] * vX_[139] + vX_[648] * vX_[156] + vX_[274] * vX_[155] +
+ vX_[364] * vX_[141] + vX_[589] * vX_[138] + vX_[672] * vX_[125] +
+ (vX_[623] * vX_[104] + vX_[425] * vX_[86] + vX_[459] * vX_[123] + vX_[531] * vX_[38] +
+ vX_[553] * vX_[132] + vX_[670] * vX_[134] + vX_[669] * vX_[122] + vX_[540] * vX_[135] +
+ vX_[525] * vX_[108] + vX_[847] * vX_[85] + vX_[623] * vX_[102] + vX_[577] * vX_[93] +
+ vX_[459] * vX_[106] + vX_[553] * vX_[128]) *
+ -0.304 +
+ vX_[720] * vX_[256] + vX_[680] * vX_[258] + vX_[706] * vX_[255] +
+ (vX_[592] * vX_[0] + vX_[655] * vX_[324] + vX_[720] * vX_[261]) * -0.304) *
+ vX_[889] +
+ (vX_[635] * vX_[152] + vX_[524] * vX_[159] + vX_[653] * vX_[327] + vX_[660] * vX_[297] +
+ vX_[453] * vX_[180] + vX_[707] * vX_[183] + vX_[649] * vX_[167] + vX_[611] * vX_[135] +
+ vX_[242] * vX_[178] + vX_[435] * vX_[145] + vX_[588] * vX_[189] + vX_[331] * vX_[118] +
+ vX_[545] * vX_[97] + vX_[440] * vX_[115] + vX_[362] * vX_[161] + vX_[882] * vX_[126] +
+ vX_[252] * vX_[142] + vX_[621] * vX_[156] + vX_[589] * vX_[125] + vX_[875] * vX_[141] +
+ vX_[727] * vX_[256] + vX_[706] * vX_[258] - vX_[592] * vX_[439] +
+ (vX_[635] * vX_[0] + vX_[655] * vX_[327] +
+ (vX_[264] * vX_[116] + vX_[567] * vX_[109] + vX_[658] * vX_[136] + vX_[537] * vX_[123] +
+ vX_[608] * vX_[135] + vX_[576] * vX_[121] + vX_[354] * vX_[122] + vX_[450] * vX_[85] +
+ vX_[604] * vX_[108] + vX_[602] * vX_[95] + vX_[567] * vX_[114] + vX_[878] * vX_[124] +
+ vX_[533] * vX_[82]) *
+ -1 +
+ vX_[727] * vX_[261]) *
+ -0.304 -
+ (vX_[538] * vX_[353] + vX_[673] * vX_[332] + vX_[627] * vX_[179] + vX_[554] * vX_[108] +
+ vX_[483] * vX_[177] + vX_[742] * vX_[135] + vX_[630] * vX_[112] + vX_[513] * vX_[160] +
+ vX_[529] * vX_[144] + vX_[737] * vX_[111] + vX_[495] * vX_[117] + vX_[619] * vX_[162] +
+ vX_[726] * vX_[139] + vX_[648] * vX_[155] + vX_[372] * vX_[138] + vX_[364] * vX_[125] +
+ vX_[680] * vX_[255])) *
+ vX_[345];
+ vX_[595] = vX_[839] + vX_[716] * vX_[151] + vX_[595] * vX_[1];
+ vX_[698] = vX_[839] + vX_[698] * vX_[2] + vX_[526] * vX_[151];
+ vX_[831] = vX_[831] + vX_[843] + vX_[839] - vX_[595] - vX_[698];
+ vX_[698] = vX_[698] + vX_[732] * vX_[154] + vX_[775] * vX_[341];
+ vX_[732] = vX_[831] - vX_[698];
+ vX_[595] = vX_[595] + vX_[500] * vX_[154] + vX_[770] * vX_[340];
+ vX_[500] = vX_[595] - vX_[698];
+ vX_[824] = 0 - (vX_[850] * vX_[2] + vX_[824] * vX_[151]) + vX_[607] * vX_[154];
+ vX_[659] = vX_[716] * vX_[2] + vX_[659] * vX_[151] + vX_[526] * vX_[1] + vX_[632] * vX_[154] + vX_[770] * vX_[341] +
+ vX_[775] * vX_[340];
+ vX_[766] = vX_[850] * vX_[151] + vX_[859] * vX_[1] + vX_[766] * vX_[154];
+ vX_[850] = 0 - vX_[766];
+ vX_[859] = vX_[732] * vX_[98] + vX_[824] * vX_[3];
+ vX_[716] = vX_[500] * vX_[98];
+ vX_[632] = vX_[732] * vX_[127] + vX_[824] * vX_[98];
+ vX_[526] = vX_[500] * vX_[3];
+ vX_[839] = vX_[632] + vX_[526];
+ vX_[843] = 0 - vX_[824];
+ vX_[537] = 0 - vX_[595];
+ vX_[264] = 0 - vX_[659];
+ vX_[618] = vX_[618] + vX_[765] * vX_[154] + vX_[770] * vX_[337] + vX_[777] * vX_[340];
+ vX_[531] = 0 - vX_[618];
+ vX_[693] = vX_[693] + vX_[834] * vX_[154] * 2. + vX_[770] * vX_[338] + vX_[772] * vX_[340];
+ vX_[658] = 0 - vX_[693];
+ vX_[425] = (vX_[537] * vX_[146] + vX_[264] * vX_[164] + vX_[531] * vX_[143] + vX_[658] * vX_[157]) * 1 / vX_[148];
+ vX_[537] = vX_[683] * vX_[152] + vX_[785] * vX_[347] + vX_[843] * vX_[199] + vX_[537] * vX_[149] + vX_[425];
+ vX_[683] = 0 - vX_[831];
+ vX_[621] = 0 - vX_[766];
+ vX_[672] = 0 - vX_[753];
+ vX_[875] = 0 - vX_[607];
+ vX_[843] =
+ (vX_[683] * vX_[110] + vX_[843] * vX_[146] + vX_[621] * vX_[164] + vX_[672] * vX_[143] + vX_[875] * vX_[157]) *
+ 1 / vX_[148];
+ vX_[683] = vX_[799] * vX_[439] + vX_[683] * vX_[199] + vX_[843];
+ vX_[799] = vX_[537] * vX_[98] + vX_[683] * vX_[127];
+ vX_[372] = vX_[537] * vX_[3] + vX_[683] * vX_[98];
+ vX_[589] = vX_[753] * vX_[127] + vX_[618] * vX_[98];
+ vX_[364] = vX_[753] * vX_[98] + vX_[618] * vX_[3];
+ vX_[358] = vX_[724] + vX_[358] * vX_[154] * 2. + vX_[775] * vX_[337] + vX_[777] * vX_[341];
+ vX_[724] = vX_[358] - vX_[693];
+ vX_[274] = 0 - vX_[698];
+ vX_[358] = 0 - vX_[358];
+ vX_[709] = vX_[694] + vX_[709] * vX_[154] + vX_[775] * vX_[338] + vX_[772] * vX_[341];
+ vX_[694] = 0 - vX_[709];
+ vX_[775] = (vX_[274] * vX_[164] + vX_[358] * vX_[143] + vX_[694] * vX_[157]) * 1 / vX_[148];
+ vX_[274] = vX_[607] - (vX_[746] * vX_[414] + vX_[786] * vX_[347] + vX_[621] * vX_[199] + vX_[264] * vX_[149] +
+ vX_[274] * vX_[165] + vX_[775]);
+ vX_[834] = vX_[834] + vX_[772] * vX_[338];
+ vX_[625] = vX_[625] + vX_[777] * vX_[337];
+ vX_[621] = 0 - vX_[625];
+ vX_[765] = vX_[765] + vX_[777] * vX_[338] + vX_[772] * vX_[337];
+ vX_[264] = 0 - vX_[765];
+ vX_[746] = (vX_[621] * vX_[143] + vX_[264] * vX_[157]) * 1 / vX_[148];
+ vX_[252] = 0 - vX_[834];
+ vX_[882] = vX_[252] * vX_[157] * 1 / vX_[148];
+ vX_[775] = 0 - vX_[723] * vX_[215] + vX_[755] * vX_[355] - vX_[785] * vX_[328] - vX_[786] * vX_[262] -
+ vX_[787] * vX_[359] + vX_[787] * vX_[347] - vX_[788] * vX_[348] - vX_[789] * vX_[325] -
+ vX_[843] * vX_[199] - vX_[425] * vX_[149] - vX_[775] * vX_[165] - vX_[746] * vX_[158] -
+ vX_[882] * vX_[191];
+ vX_[843] = 0 - vX_[834] + vX_[775];
+ vX_[425] = vX_[625] - vX_[834];
+ vX_[746] = vX_[748] * vX_[159] + vX_[788] * vX_[347] + vX_[672] * vX_[199] + vX_[531] * vX_[149] +
+ vX_[358] * vX_[165] + vX_[621] * vX_[158] + vX_[746];
+ vX_[882] = vX_[750] * vX_[0] + vX_[789] * vX_[347] + vX_[875] * vX_[199] + vX_[658] * vX_[149] +
+ vX_[694] * vX_[165] + vX_[264] * vX_[158] + vX_[252] * vX_[191] + vX_[882];
+ vX_[252] = 0 - vX_[882];
+ vX_[264] = vX_[843] * vX_[98] + vX_[746] * vX_[3];
+ vX_[694] = vX_[425] * vX_[98];
+ vX_[875] = vX_[843] * vX_[127] + vX_[746] * vX_[98];
+ vX_[658] = vX_[425] * vX_[3];
+ vX_[789] = vX_[875] + vX_[658];
+ vX_[882] = 0 - vX_[882];
+ vX_[750] = vX_[765] * vX_[98] + vX_[882] * vX_[3];
+ vX_[621] = vX_[765] * vX_[127] + vX_[252] * vX_[98];
+ vX_[358] = 0 - vX_[621];
+ vX_[672] = vX_[264] * vX_[127] + vX_[694] * vX_[3] + vX_[789] * vX_[98];
+ vX_[531] = vX_[834] + vX_[875] * vX_[127] + vX_[694] * vX_[98];
+ vX_[788] = vX_[834] + vX_[264] * vX_[98] + vX_[658] * vX_[3];
+ vX_[775] = vX_[625] + vX_[834] + vX_[775] - vX_[531] - vX_[788];
+ vX_[625] = 0 - vX_[775];
+ vX_[834] = (vX_[607] * vX_[127] + vX_[693] * vX_[98]) * -1;
+ vX_[748] = vX_[834] + vX_[625] * vX_[103];
+ vX_[787] = 0 - vX_[748];
+ vX_[834] = 0 - (vX_[724] * vX_[98] + vX_[274] * vX_[3]) + vX_[834];
+ vX_[786] = vX_[834] + vX_[531] * vX_[103];
+ vX_[785] = (vX_[607] * vX_[98] + vX_[693] * vX_[3]) * -1;
+ vX_[755] = vX_[785] + vX_[775] * vX_[5];
+ vX_[723] = 0 - vX_[755];
+ vX_[726] = vX_[372] * vX_[127] + vX_[364] * vX_[98];
+ vX_[648] = 0 - vX_[750];
+ vX_[362] = vX_[726] + vX_[648] * vX_[5];
+ vX_[619] = vX_[799] * vX_[127] + vX_[589] * vX_[98];
+ vX_[440] = vX_[372] * vX_[98] + vX_[364] * vX_[3];
+ vX_[709] = vX_[618] + vX_[709] + vX_[683] - vX_[619] - vX_[440];
+ vX_[545] = vX_[619] + vX_[750] * vX_[103] - vX_[709];
+ vX_[495] = 0 - vX_[621];
+ vX_[766] = 0 - vX_[766];
+ vX_[737] = 0 - vX_[788];
+ vX_[785] = vX_[724] * vX_[127] + vX_[274] * vX_[98] + vX_[785];
+ vX_[529] = 0 - (vX_[785] + vX_[672] * vX_[103] + vX_[737] * vX_[5]);
+ vX_[435] = vX_[799] * vX_[98] + vX_[589] * vX_[3];
+ vX_[588] = 0 - (vX_[435] + vX_[358] * vX_[103]);
+ vX_[709] = vX_[709] - (vX_[440] + vX_[621] * vX_[5]);
+ vX_[331] = 0 - vX_[750];
+ vX_[707] = 0 - vX_[672];
+ vX_[453] = 0 - vX_[788];
+ jac[46] = 0 -
+ (vX_[640] * vX_[152] + vX_[701] * vX_[439] + vX_[721] * vX_[159] + vX_[739] * vX_[353] +
+ vX_[770] * vX_[324] + vX_[790] * vX_[297] + vX_[777] * vX_[332] + vX_[732] * vX_[183] +
+ vX_[500] * vX_[181] + vX_[824] * vX_[179] + vX_[659] * vX_[167] + vX_[850] * vX_[108] +
+ vX_[859] * vX_[178] + vX_[716] * vX_[177] + vX_[839] * vX_[135] + vX_[537] * vX_[144] +
+ vX_[753] * vX_[118] + vX_[607] * vX_[189] + vX_[693] * vX_[160] + vX_[683] * vX_[145] +
+ vX_[618] * vX_[112] + vX_[799] * vX_[97] + vX_[372] * vX_[115] + vX_[589] * vX_[111] +
+ vX_[364] * vX_[117] + vX_[724] * vX_[161] + vX_[274] * vX_[162] + vX_[843] * vX_[142] +
+ vX_[425] * vX_[171] + vX_[746] * vX_[139] + vX_[765] * vX_[156] + vX_[252] * vX_[155] +
+ vX_[264] * vX_[141] + vX_[694] * vX_[138] + vX_[789] * vX_[125] +
+ (vX_[750] * vX_[104] + vX_[358] * vX_[86] + vX_[672] * vX_[123] + vX_[625] * vX_[38] +
+ vX_[531] * vX_[132] + vX_[787] * vX_[134] + vX_[786] * vX_[122] + vX_[723] * vX_[135] +
+ vX_[362] * vX_[108] + vX_[545] * vX_[85] + vX_[750] * vX_[102] + vX_[495] * vX_[93] +
+ vX_[672] * vX_[106] + vX_[531] * vX_[128]) *
+ -0.304 +
+ vX_[837] * vX_[256] + vX_[797] * vX_[258] + vX_[823] * vX_[255] +
+ (vX_[640] * vX_[0] + vX_[772] * vX_[324] + vX_[837] * vX_[261]) * -0.304) *
+ vX_[889] +
+ (vX_[701] * vX_[152] + vX_[739] * vX_[159] + vX_[770] * vX_[327] + vX_[777] * vX_[297] +
+ vX_[500] * vX_[180] + vX_[824] * vX_[183] + vX_[766] * vX_[167] + vX_[716] * vX_[135] +
+ vX_[526] * vX_[178] + vX_[537] * vX_[145] + vX_[693] * vX_[189] + vX_[618] * vX_[118] +
+ vX_[589] * vX_[97] + vX_[364] * vX_[115] + vX_[274] * vX_[161] + vX_[425] * vX_[126] +
+ vX_[746] * vX_[142] + vX_[882] * vX_[156] + vX_[694] * vX_[125] + vX_[658] * vX_[141] +
+ vX_[844] * vX_[256] + vX_[823] * vX_[258] - vX_[640] * vX_[439] +
+ (vX_[701] * vX_[0] + vX_[772] * vX_[327] +
+ (vX_[648] * vX_[116] + vX_[621] * vX_[109] + vX_[775] * vX_[136] + vX_[737] * vX_[123] +
+ vX_[748] * vX_[135] + vX_[755] * vX_[121] + vX_[529] * vX_[122] + vX_[588] * vX_[85] +
+ vX_[709] * vX_[108] + vX_[331] * vX_[95] + vX_[621] * vX_[114] + vX_[707] * vX_[124] +
+ vX_[453] * vX_[82]) *
+ -1 +
+ vX_[844] * vX_[261]) *
+ -0.304 -
+ (vX_[721] * vX_[353] + vX_[790] * vX_[332] + vX_[732] * vX_[179] + vX_[659] * vX_[108] +
+ vX_[632] * vX_[177] + vX_[859] * vX_[135] + vX_[753] * vX_[112] + vX_[607] * vX_[160] +
+ vX_[683] * vX_[144] + vX_[799] * vX_[111] + vX_[372] * vX_[117] + vX_[724] * vX_[162] +
+ vX_[843] * vX_[139] + vX_[765] * vX_[155] + vX_[875] * vX_[138] + vX_[264] * vX_[125] +
+ vX_[797] * vX_[255])) *
+ vX_[345];
+ vX_[700] = vX_[956] + vX_[202] * vX_[151] + vX_[700] * vX_[1];
+ vX_[147] = vX_[956] + vX_[147] * vX_[2] + vX_[620] * vX_[151];
+ vX_[946] = vX_[946] + vX_[958] + vX_[956] - vX_[700] - vX_[147];
+ vX_[147] = vX_[147] + vX_[196] * vX_[154] + vX_[890] * vX_[341];
+ vX_[196] = vX_[946] - vX_[147];
+ vX_[700] = vX_[700] + vX_[238] * vX_[154] + vX_[885] * vX_[340];
+ vX_[238] = vX_[700] - vX_[147];
+ vX_[174] = 0 - (vX_[198] * vX_[2] + vX_[174] * vX_[151]) + vX_[197] * vX_[154];
+ vX_[182] = vX_[202] * vX_[2] + vX_[182] * vX_[151] + vX_[620] * vX_[1] + vX_[194] * vX_[154] + vX_[885] * vX_[341] +
+ vX_[890] * vX_[340];
+ vX_[239] = vX_[198] * vX_[151] + vX_[49] * vX_[1] + vX_[239] * vX_[154];
+ vX_[198] = 0 - vX_[239];
+ vX_[49] = vX_[196] * vX_[98] + vX_[174] * vX_[3];
+ vX_[1] = vX_[238] * vX_[98];
+ vX_[202] = vX_[196] * vX_[127] + vX_[174] * vX_[98];
+ vX_[194] = vX_[238] * vX_[3];
+ vX_[620] = vX_[202] + vX_[194];
+ vX_[956] = 0 - vX_[174];
+ vX_[958] = 0 - vX_[700];
+ vX_[737] = 0 - vX_[182];
+ vX_[204] = vX_[204] + vX_[880] * vX_[154] + vX_[885] * vX_[337] + vX_[892] * vX_[340];
+ vX_[648] = 0 - vX_[204];
+ vX_[817] = vX_[817] + vX_[951] * vX_[154] * 2. + vX_[885] * vX_[338] + vX_[887] * vX_[340];
+ vX_[340] = 0 - vX_[817];
+ vX_[625] = (vX_[958] * vX_[146] + vX_[737] * vX_[164] + vX_[648] * vX_[143] + vX_[340] * vX_[157]) * 1 / vX_[148];
+ vX_[958] = vX_[852] * vX_[152] + vX_[900] * vX_[347] + vX_[956] * vX_[199] + vX_[958] * vX_[149] + vX_[625];
+ vX_[852] = 0 - vX_[946];
+ vX_[775] = 0 - vX_[239];
+ vX_[358] = 0 - vX_[245];
+ vX_[882] = 0 - vX_[197];
+ vX_[956] =
+ (vX_[852] * vX_[110] + vX_[956] * vX_[146] + vX_[775] * vX_[164] + vX_[358] * vX_[143] + vX_[882] * vX_[157]) *
+ 1 / vX_[148];
+ vX_[852] = vX_[312] * vX_[439] + vX_[852] * vX_[199] + vX_[956];
+ vX_[312] = vX_[958] * vX_[98] + vX_[852] * vX_[127];
+ vX_[110] = vX_[958] * vX_[3] + vX_[852] * vX_[98];
+ vX_[146] = vX_[245] * vX_[127] + vX_[204] * vX_[98];
+ vX_[789] = vX_[245] * vX_[98] + vX_[204] * vX_[3];
+ vX_[214] = vX_[212] + vX_[214] * vX_[154] * 2. + vX_[890] * vX_[337] + vX_[892] * vX_[341];
+ vX_[212] = vX_[214] - vX_[817];
+ vX_[658] = 0 - vX_[147];
+ vX_[214] = 0 - vX_[214];
+ vX_[216] = vX_[211] + vX_[216] * vX_[154] + vX_[890] * vX_[338] + vX_[887] * vX_[341];
+ vX_[211] = 0 - vX_[216];
+ vX_[164] = (vX_[658] * vX_[164] + vX_[214] * vX_[143] + vX_[211] * vX_[157]) * 1 / vX_[148];
+ vX_[658] = vX_[197] - (vX_[862] * vX_[414] + vX_[901] * vX_[347] + vX_[775] * vX_[199] + vX_[737] * vX_[149] +
+ vX_[658] * vX_[165] + vX_[164]);
+ vX_[951] = vX_[951] + vX_[887] * vX_[338];
+ vX_[360] = vX_[360] + vX_[892] * vX_[337];
+ vX_[775] = 0 - vX_[360];
+ vX_[880] = vX_[880] + vX_[892] * vX_[338] + vX_[887] * vX_[337];
+ vX_[338] = 0 - vX_[880];
+ vX_[143] = (vX_[775] * vX_[143] + vX_[338] * vX_[157]) * 1 / vX_[148];
+ vX_[337] = 0 - vX_[951];
+ vX_[157] = vX_[337] * vX_[157] * 1 / vX_[148];
+ vX_[164] = 0 - vX_[840] * vX_[215] + vX_[871] * vX_[355] - vX_[900] * vX_[328] - vX_[901] * vX_[262] -
+ vX_[902] * vX_[359] + vX_[902] * vX_[347] - vX_[903] * vX_[348] - vX_[904] * vX_[325] -
+ vX_[956] * vX_[199] - vX_[625] * vX_[149] - vX_[164] * vX_[165] - vX_[143] * vX_[158] -
+ vX_[157] * vX_[191];
+ vX_[956] = 0 - vX_[951] + vX_[164];
+ vX_[625] = vX_[360] - vX_[951];
+ vX_[143] = vX_[864] * vX_[159] + vX_[903] * vX_[347] + vX_[358] * vX_[199] + vX_[648] * vX_[149] +
+ vX_[214] * vX_[165] + vX_[775] * vX_[158] + vX_[143];
+ vX_[157] = vX_[866] * vX_[0] + vX_[904] * vX_[347] + vX_[882] * vX_[199] + vX_[340] * vX_[149] +
+ vX_[211] * vX_[165] + vX_[338] * vX_[158] + vX_[337] * vX_[191] + vX_[157];
+ vX_[337] = 0 - vX_[157];
+ vX_[338] = vX_[956] * vX_[98] + vX_[143] * vX_[3];
+ vX_[211] = vX_[625] * vX_[98];
+ vX_[882] = vX_[956] * vX_[127] + vX_[143] * vX_[98];
+ vX_[340] = vX_[625] * vX_[3];
+ vX_[904] = vX_[882] + vX_[340];
+ vX_[157] = 0 - vX_[157];
+ vX_[866] = vX_[880] * vX_[98] + vX_[157] * vX_[3];
+ vX_[347] = vX_[880] * vX_[127] + vX_[337] * vX_[98];
+ vX_[199] = 0 - vX_[347];
+ vX_[191] = vX_[338] * vX_[127] + vX_[211] * vX_[3] + vX_[904] * vX_[98];
+ vX_[165] = vX_[951] + vX_[882] * vX_[127] + vX_[211] * vX_[98];
+ vX_[158] = vX_[951] + vX_[338] * vX_[98] + vX_[340] * vX_[3];
+ vX_[164] = vX_[360] + vX_[951] + vX_[164] - vX_[165] - vX_[158];
+ vX_[360] = 0 - vX_[164];
+ vX_[951] = (vX_[197] * vX_[127] + vX_[817] * vX_[98]) * -1;
+ vX_[149] = vX_[951] + vX_[360] * vX_[103];
+ vX_[775] = 0 - vX_[149];
+ vX_[951] = 0 - (vX_[212] * vX_[98] + vX_[658] * vX_[3]) + vX_[951];
+ vX_[214] = vX_[951] + vX_[165] * vX_[103];
+ vX_[358] = (vX_[197] * vX_[98] + vX_[817] * vX_[3]) * -1;
+ vX_[648] = vX_[358] + vX_[164] * vX_[5];
+ vX_[903] = 0 - vX_[648];
+ vX_[864] = vX_[110] * vX_[127] + vX_[789] * vX_[98];
+ vX_[215] = 0 - vX_[866];
+ vX_[355] = vX_[864] + vX_[215] * vX_[5];
+ vX_[902] = vX_[312] * vX_[127] + vX_[146] * vX_[98];
+ vX_[901] = vX_[110] * vX_[98] + vX_[789] * vX_[3];
+ vX_[216] = vX_[204] + vX_[216] + vX_[852] - vX_[902] - vX_[901];
+ vX_[900] = vX_[902] + vX_[866] * vX_[103] - vX_[216];
+ vX_[871] = 0 - vX_[347];
+ vX_[239] = 0 - vX_[239];
+ vX_[840] = 0 - vX_[158];
+ vX_[358] = vX_[212] * vX_[127] + vX_[658] * vX_[98] + vX_[358];
+ vX_[359] = 0 - (vX_[358] + vX_[191] * vX_[103] + vX_[840] * vX_[5]);
+ vX_[262] = vX_[312] * vX_[98] + vX_[146] * vX_[3];
+ vX_[328] = 0 - (vX_[262] + vX_[199] * vX_[103]);
+ vX_[216] = vX_[216] - (vX_[901] + vX_[347] * vX_[5]);
+ vX_[325] = 0 - vX_[866];
+ vX_[348] = 0 - vX_[191];
+ vX_[148] = 0 - vX_[158];
+ jac[47] =
+ 0 -
+ (vX_[702] * vX_[152] + vX_[830] * vX_[439] + vX_[845] * vX_[159] + vX_[828] * vX_[353] + vX_[885] * vX_[324] +
+ vX_[905] * vX_[297] + vX_[892] * vX_[332] + vX_[196] * vX_[183] + vX_[238] * vX_[181] +
+ vX_[174] * vX_[179] + vX_[182] * vX_[167] + vX_[198] * vX_[108] + vX_[49] * vX_[178] + vX_[1] * vX_[177] +
+ vX_[620] * vX_[135] + vX_[958] * vX_[144] + vX_[245] * vX_[118] + vX_[197] * vX_[189] +
+ vX_[817] * vX_[160] + vX_[852] * vX_[145] + vX_[204] * vX_[112] + vX_[312] * vX_[97] + vX_[110] * vX_[115] +
+ vX_[146] * vX_[111] + vX_[789] * vX_[117] + vX_[212] * vX_[161] + vX_[658] * vX_[162] +
+ vX_[956] * vX_[142] + vX_[625] * vX_[171] + vX_[143] * vX_[139] + vX_[880] * vX_[156] +
+ vX_[337] * vX_[155] + vX_[338] * vX_[141] + vX_[211] * vX_[138] + vX_[904] * vX_[125] +
+ (vX_[866] * vX_[104] + vX_[199] * vX_[86] + vX_[191] * vX_[123] + vX_[360] * vX_[38] + vX_[165] * vX_[132] +
+ vX_[775] * vX_[134] + vX_[214] * vX_[122] + vX_[903] * vX_[135] + vX_[355] * vX_[108] +
+ vX_[900] * vX_[85] + vX_[866] * vX_[102] + vX_[871] * vX_[93] + vX_[191] * vX_[106] +
+ vX_[165] * vX_[128]) *
+ -0.304 +
+ vX_[952] * vX_[256] + vX_[971] * vX_[258] + vX_[75] * vX_[255] +
+ (vX_[702] * vX_[0] + vX_[887] * vX_[324] + vX_[952] * vX_[261]) * -0.304) *
+ vX_[889] +
+ (vX_[830] * vX_[152] + vX_[828] * vX_[159] + vX_[885] * vX_[327] + vX_[892] * vX_[297] + vX_[238] * vX_[180] +
+ vX_[174] * vX_[183] + vX_[239] * vX_[167] + vX_[1] * vX_[135] + vX_[194] * vX_[178] + vX_[958] * vX_[145] +
+ vX_[817] * vX_[189] + vX_[204] * vX_[118] + vX_[146] * vX_[97] + vX_[789] * vX_[115] + vX_[658] * vX_[161] +
+ vX_[625] * vX_[126] + vX_[143] * vX_[142] + vX_[157] * vX_[156] + vX_[211] * vX_[125] +
+ vX_[340] * vX_[141] + vX_[294] * vX_[256] + vX_[75] * vX_[258] - vX_[702] * vX_[439] +
+ (vX_[830] * vX_[0] + vX_[887] * vX_[327] +
+ (vX_[215] * vX_[116] + vX_[347] * vX_[109] + vX_[164] * vX_[136] + vX_[840] * vX_[123] +
+ vX_[149] * vX_[135] + vX_[648] * vX_[121] + vX_[359] * vX_[122] + vX_[328] * vX_[85] +
+ vX_[216] * vX_[108] + vX_[325] * vX_[95] + vX_[347] * vX_[114] + vX_[348] * vX_[124] +
+ vX_[148] * vX_[82]) *
+ -1 +
+ vX_[294] * vX_[261]) *
+ -0.304 -
+ (vX_[845] * vX_[353] + vX_[905] * vX_[332] + vX_[196] * vX_[179] + vX_[182] * vX_[108] +
+ vX_[202] * vX_[177] + vX_[49] * vX_[135] + vX_[245] * vX_[112] + vX_[197] * vX_[160] +
+ vX_[852] * vX_[144] + vX_[312] * vX_[111] + vX_[110] * vX_[117] + vX_[212] * vX_[162] +
+ vX_[956] * vX_[139] + vX_[880] * vX_[155] + vX_[882] * vX_[138] + vX_[338] * vX_[125] +
+ vX_[971] * vX_[255])) *
+ vX_[345];
+ vX_[273] = vX_[246] + vX_[273] * vX_[127] + vX_[247] * vX_[98];
+ vX_[382] = vX_[273] + vX_[382] * vX_[103] + vX_[376] * vX_[321];
+ vX_[280] = vX_[246] + vX_[456] * vX_[98] + vX_[280] * vX_[3];
+ vX_[934] = vX_[280] + vX_[934] * vX_[5] + vX_[370] * vX_[322];
+ vX_[840] = vX_[382] - vX_[934];
+ vX_[759] =
+ 0 - (vX_[244] * vX_[98] + vX_[870] * vX_[3]) + vX_[759] * vX_[5] + vX_[91] * vX_[103] + vX_[375] * vX_[321];
+ vX_[271] = vX_[244] * vX_[127] + vX_[447] * vX_[98] + vX_[243] * vX_[103] + vX_[271] * vX_[5] + vX_[375] * vX_[322];
+ vX_[243] = 0 - vX_[271];
+ vX_[447] = vX_[840] * vX_[6];
+ vX_[244] = vX_[840] * vX_[32];
+ vX_[870] = 0 - vX_[759];
+ vX_[91] = 0 - vX_[382];
+ vX_[854] = vX_[456] * vX_[127] + vX_[247] * vX_[3] + vX_[436] * vX_[98] + vX_[383] * vX_[5] + vX_[854] * vX_[103] +
+ vX_[376] * vX_[322] + vX_[370] * vX_[321];
+ vX_[383] = 0 - vX_[854];
+ vX_[195] = vX_[195] + vX_[172] * vX_[103] + vX_[376] * vX_[281] + vX_[388] * vX_[321];
+ vX_[172] = 0 - vX_[195];
+ vX_[879] = vX_[879] + vX_[891] * vX_[103] + vX_[376] * vX_[298] + vX_[390] * vX_[321];
+ vX_[891] =
+ (vX_[91] * vX_[68] + vX_[383] * vX_[107] + vX_[172] * vX_[101] + (0 - vX_[879]) * -0.00021200017) * 1 / vX_[83];
+ vX_[91] = vX_[379] * vX_[329] + vX_[870] * vX_[84] + vX_[91] * vX_[96] + vX_[891];
+ vX_[863] = vX_[431] + vX_[863] * vX_[5] + vX_[385] * vX_[103] * 2. + vX_[375] * vX_[281];
+ vX_[431] = vX_[863] * vX_[32] + vX_[195] * vX_[6];
+ vX_[436] = vX_[863] * vX_[7] + vX_[195] * vX_[32];
+ vX_[800] = vX_[868] + vX_[730] * vX_[103] + vX_[800] * vX_[5] * 2. + vX_[375] * vX_[298];
+ vX_[868] = 0 - vX_[271];
+ vX_[247] = 0 - vX_[934];
+ vX_[816] = vX_[954] + vX_[816] * vX_[5] + vX_[370] * vX_[281] + vX_[388] * vX_[322];
+ vX_[954] = 0 - vX_[816];
+ vX_[963] = (vX_[247] * vX_[107] + vX_[954] * vX_[101] +
+ (0 - (vX_[963] + vX_[254] * vX_[5] + vX_[370] * vX_[298] + vX_[390] * vX_[322])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[247] =
+ vX_[800] - (vX_[380] * vX_[329] + vX_[868] * vX_[84] + vX_[383] * vX_[96] + vX_[247] * vX_[113] + vX_[963]);
+ vX_[385] = vX_[385] + vX_[388] * vX_[281];
+ vX_[384] = vX_[384] + vX_[390] * vX_[298];
+ vX_[383] = vX_[385] - vX_[384];
+ vX_[254] = 0 - vX_[863];
+ vX_[385] = 0 - vX_[385];
+ vX_[730] = (vX_[385] * vX_[101] + (0 - (vX_[730] + vX_[388] * vX_[298] + vX_[390] * vX_[281])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[385] = vX_[389] * vX_[329] + vX_[254] * vX_[84] + vX_[172] * vX_[96] + vX_[954] * vX_[113] +
+ vX_[385] * vX_[119] + vX_[730];
+ vX_[954] = vX_[383] * vX_[6];
+ vX_[172] = vX_[383] * vX_[32];
+ vX_[280] = vX_[428] + vX_[87] + vX_[246] - vX_[273] - vX_[280] + vX_[767] * vX_[103] + vX_[884] * vX_[5];
+ vX_[273] = 0 - vX_[280];
+ vX_[254] = (vX_[273] * vX_[69] + vX_[870] * vX_[68] + vX_[868] * vX_[107] + vX_[254] * vX_[101] +
+ (0 - vX_[800]) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[730] = 0 - vX_[384] + 0 - vX_[378] * vX_[335] - vX_[379] * vX_[351] - vX_[380] * vX_[275] -
+ vX_[381] * vX_[326] + vX_[381] * vX_[329] - vX_[389] * vX_[330] - vX_[391] * vX_[334] -
+ vX_[254] * vX_[84] - vX_[891] * vX_[96] - vX_[963] * vX_[113] - vX_[730] * vX_[119] -
+ (0 - vX_[384]) * -0.00021200017 * 1 / vX_[83] * vX_[140];
+ vX_[963] = vX_[730] * vX_[32] + vX_[385] * vX_[6];
+ vX_[891] = vX_[730] * vX_[7] + vX_[385] * vX_[32];
+ vX_[391] = vX_[891] + vX_[954];
+ vX_[389] = vX_[963] * vX_[7] + vX_[391] * vX_[32] + vX_[172] * vX_[6];
+ vX_[381] = 0 - vX_[389];
+ vX_[380] = vX_[384] + vX_[963] * vX_[32] + vX_[954] * vX_[6];
+ vX_[379] = 0 - vX_[380];
+ vX_[384] = vX_[384] + vX_[891] * vX_[7] + vX_[172] * vX_[32];
+ vX_[816] = vX_[816] - vX_[879];
+ vX_[868] = vX_[800] * vX_[32] + vX_[879] * vX_[6] - (vX_[816] * vX_[7] + vX_[247] * vX_[32]);
+ vX_[870] = 0 - vX_[868];
+ vX_[884] = vX_[879] + vX_[816];
+ vX_[767] = vX_[800] * vX_[7] + vX_[884] * vX_[32] + vX_[247] * vX_[6];
+ vX_[254] = vX_[378] * vX_[329] + vX_[273] * vX_[84] + vX_[254];
+ vX_[273] = vX_[91] * vX_[32] + vX_[254] * vX_[7];
+ vX_[378] = vX_[273] * vX_[32] + vX_[436] * vX_[6];
+ vX_[87] = 0 - (vX_[378] + vX_[379] * vX_[47]);
+ vX_[246] = vX_[91] * vX_[6] + vX_[254] * vX_[32];
+ vX_[428] = vX_[246] * vX_[7] + vX_[431] * vX_[32];
+ vX_[390] = vX_[428] + vX_[384] * vX_[47];
+ vX_[456] = vX_[246] * vX_[32] + vX_[431] * vX_[6];
+ vX_[215] = vX_[273] * vX_[7] + vX_[436] * vX_[32];
+ vX_[360] = 0 - vX_[456] + vX_[215] + vX_[381] * vX_[47];
+ vX_[164] = 0 - vX_[389];
+ vX_[199] = 0 - vX_[380];
+ vX_[379] = vX_[381] * vX_[58] + vX_[379] * vX_[64] + vX_[384] * vX_[48] + vX_[870] * vX_[88] + vX_[767] * vX_[90] +
+ vX_[87] * vX_[35] + vX_[390] * vX_[33] + vX_[360] * vX_[31] + vX_[389] * vX_[57] + vX_[164] * vX_[62] +
+ vX_[199] * vX_[79] + vX_[384] * vX_[70];
+ vX_[381] = vX_[280] - vX_[934];
+ vX_[157] = vX_[381] * vX_[32] + vX_[759] * vX_[6];
+ vX_[904] = vX_[381] * vX_[7] + vX_[759] * vX_[32];
+ vX_[340] = sin(x_in[4]);
+ vX_[271] = 0 - vX_[271];
+ vX_[882] = vX_[904] + vX_[447];
+ vX_[211] = cos(x_in[4]);
+ jac[54] =
+ 0 -
+ (vX_[376] * vX_[301] + vX_[388] * vX_[302] + vX_[840] * vX_[43] + vX_[759] * vX_[40] + vX_[243] * vX_[88] +
+ vX_[447] * vX_[39] + vX_[244] * vX_[31] + vX_[91] * vX_[60] + vX_[879] * vX_[89] + vX_[195] * vX_[99] +
+ vX_[431] * vX_[59] + vX_[436] * vX_[66] + vX_[247] * vX_[92] + vX_[383] * vX_[77] + vX_[385] * vX_[81] +
+ vX_[954] * vX_[80] + vX_[172] * vX_[76] + vX_[417] * vX_[270] + vX_[457] * vX_[263] +
+ (vX_[377] * vX_[301] + vX_[379] * vX_[7] + vX_[417] * vX_[268]) * 0.112 -
+ (vX_[375] * vX_[318] + vX_[429] * vX_[267]) + (vX_[388] * vX_[318] + vX_[429] * vX_[263]) * 0.112 -
+ (vX_[377] * vX_[319] + vX_[381] * vX_[44] + vX_[854] * vX_[105] + vX_[157] * vX_[31] + vX_[904] * vX_[42] +
+ vX_[863] * vX_[100] + vX_[800] * vX_[92] + vX_[254] * vX_[67] + vX_[246] * vX_[52] +
+ vX_[273] * vX_[63] + vX_[816] * vX_[94] + vX_[730] * vX_[78] + vX_[963] * vX_[76] + vX_[891] * vX_[72] +
+ vX_[379] * vX_[46] + vX_[455] * vX_[268])) *
+ vX_[340] +
+ (vX_[375] * vX_[301] + vX_[376] * vX_[318] + vX_[377] * vX_[302] + vX_[388] * vX_[319] + vX_[381] * vX_[40] +
+ vX_[840] * vX_[133] + vX_[759] * vX_[44] + vX_[854] * vX_[88] + vX_[271] * vX_[105] + vX_[157] * vX_[39] +
+ vX_[882] * vX_[31] + vX_[244] * vX_[42] + vX_[91] * vX_[67] + vX_[863] * vX_[99] + vX_[800] * vX_[89] +
+ vX_[254] * vX_[60] + vX_[195] * vX_[100] + vX_[246] * vX_[59] + vX_[273] * vX_[66] + vX_[431] * vX_[52] +
+ vX_[436] * vX_[63] + vX_[884] * vX_[92] + vX_[247] * vX_[94] + vX_[730] * vX_[81] + vX_[383] * vX_[129] +
+ vX_[385] * vX_[78] + vX_[963] * vX_[80] + vX_[391] * vX_[76] + vX_[172] * vX_[72] + vX_[379] * vX_[45] +
+ vX_[417] * vX_[267] + vX_[429] * vX_[270] + vX_[457] * vX_[268] + vX_[455] * vX_[263] +
+ (vX_[388] * vX_[301] + vX_[379] * vX_[32] + vX_[417] * vX_[263]) * -0.112 +
+ (vX_[377] * vX_[318] + vX_[429] * vX_[268]) * 0.112) *
+ vX_[211];
+ vX_[943] = vX_[371] + vX_[943] * vX_[127] + vX_[373] * vX_[98];
+ vX_[469] = vX_[943] + vX_[469] * vX_[103] + vX_[463] * vX_[321];
+ vX_[257] = vX_[371] + vX_[543] * vX_[98] + vX_[257] * vX_[3];
+ vX_[444] = vX_[257] + vX_[444] * vX_[5] + vX_[395] * vX_[322];
+ vX_[381] = vX_[469] - vX_[444];
+ vX_[420] =
+ 0 - (vX_[368] * vX_[98] + vX_[442] * vX_[3]) + vX_[420] * vX_[5] + vX_[421] * vX_[103] + vX_[462] * vX_[321];
+ vX_[430] = vX_[368] * vX_[127] + vX_[534] * vX_[98] + vX_[867] * vX_[103] + vX_[430] * vX_[5] + vX_[462] * vX_[322];
+ vX_[867] = 0 - vX_[430];
+ vX_[534] = vX_[381] * vX_[6];
+ vX_[368] = vX_[381] * vX_[32];
+ vX_[442] = 0 - vX_[420];
+ vX_[421] = 0 - vX_[469];
+ vX_[949] = vX_[543] * vX_[127] + vX_[373] * vX_[3] + vX_[523] * vX_[98] + vX_[470] * vX_[5] + vX_[949] * vX_[103] +
+ vX_[463] * vX_[322] + vX_[395] * vX_[321];
+ vX_[470] = 0 - vX_[949];
+ vX_[272] = vX_[272] + vX_[386] * vX_[103] + vX_[463] * vX_[281] + vX_[475] * vX_[321];
+ vX_[386] = 0 - vX_[272];
+ vX_[819] = vX_[819] + vX_[356] * vX_[103] + vX_[463] * vX_[298] + vX_[477] * vX_[321];
+ vX_[356] = (vX_[421] * vX_[68] + vX_[470] * vX_[107] + vX_[386] * vX_[101] + (0 - vX_[819]) * -0.00021200017) * 1 /
+ vX_[83];
+ vX_[421] = vX_[466] * vX_[329] + vX_[442] * vX_[84] + vX_[421] * vX_[96] + vX_[356];
+ vX_[441] = vX_[518] + vX_[441] * vX_[5] + vX_[472] * vX_[103] * 2. + vX_[462] * vX_[281];
+ vX_[518] = vX_[441] * vX_[32] + vX_[272] * vX_[6];
+ vX_[523] = vX_[441] * vX_[7] + vX_[272] * vX_[32];
+ vX_[434] = vX_[829] + vX_[287] * vX_[103] + vX_[434] * vX_[5] * 2. + vX_[462] * vX_[298];
+ vX_[829] = 0 - vX_[430];
+ vX_[373] = 0 - vX_[444];
+ vX_[394] = vX_[22] + vX_[394] * vX_[5] + vX_[395] * vX_[281] + vX_[475] * vX_[322];
+ vX_[22] = 0 - vX_[394];
+ vX_[352] = (vX_[373] * vX_[107] + vX_[22] * vX_[101] +
+ (0 - (vX_[352] + vX_[412] * vX_[5] + vX_[395] * vX_[298] + vX_[477] * vX_[322])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[373] =
+ vX_[434] - (vX_[467] * vX_[329] + vX_[829] * vX_[84] + vX_[470] * vX_[96] + vX_[373] * vX_[113] + vX_[352]);
+ vX_[472] = vX_[472] + vX_[475] * vX_[281];
+ vX_[471] = vX_[471] + vX_[477] * vX_[298];
+ vX_[470] = vX_[472] - vX_[471];
+ vX_[412] = 0 - vX_[441];
+ vX_[472] = 0 - vX_[472];
+ vX_[287] = (vX_[472] * vX_[101] + (0 - (vX_[287] + vX_[475] * vX_[298] + vX_[477] * vX_[281])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[472] = vX_[476] * vX_[329] + vX_[412] * vX_[84] + vX_[386] * vX_[96] + vX_[22] * vX_[113] +
+ vX_[472] * vX_[119] + vX_[287];
+ vX_[22] = vX_[470] * vX_[6];
+ vX_[386] = vX_[470] * vX_[32];
+ vX_[257] = vX_[515] + vX_[363] + vX_[371] - vX_[943] - vX_[257] + vX_[260] * vX_[103] + vX_[396] * vX_[5];
+ vX_[943] = 0 - vX_[257];
+ vX_[412] = (vX_[943] * vX_[69] + vX_[442] * vX_[68] + vX_[829] * vX_[107] + vX_[412] * vX_[101] +
+ (0 - vX_[434]) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[287] = 0 - vX_[471] + 0 - vX_[465] * vX_[335] - vX_[466] * vX_[351] - vX_[467] * vX_[275] -
+ vX_[468] * vX_[326] + vX_[468] * vX_[329] - vX_[476] * vX_[330] - vX_[478] * vX_[334] -
+ vX_[412] * vX_[84] - vX_[356] * vX_[96] - vX_[352] * vX_[113] - vX_[287] * vX_[119] -
+ (0 - vX_[471]) * -0.00021200017 * 1 / vX_[83] * vX_[140];
+ vX_[352] = vX_[287] * vX_[32] + vX_[472] * vX_[6];
+ vX_[356] = vX_[287] * vX_[7] + vX_[472] * vX_[32];
+ vX_[478] = vX_[356] + vX_[22];
+ vX_[476] = vX_[352] * vX_[7] + vX_[478] * vX_[32] + vX_[386] * vX_[6];
+ vX_[468] = 0 - vX_[476];
+ vX_[467] = vX_[471] + vX_[352] * vX_[32] + vX_[22] * vX_[6];
+ vX_[466] = 0 - vX_[467];
+ vX_[471] = vX_[471] + vX_[356] * vX_[7] + vX_[386] * vX_[32];
+ vX_[394] = vX_[394] - vX_[819];
+ vX_[829] = vX_[434] * vX_[32] + vX_[819] * vX_[6] - (vX_[394] * vX_[7] + vX_[373] * vX_[32]);
+ vX_[442] = 0 - vX_[829];
+ vX_[396] = vX_[819] + vX_[394];
+ vX_[260] = vX_[434] * vX_[7] + vX_[396] * vX_[32] + vX_[373] * vX_[6];
+ vX_[412] = vX_[465] * vX_[329] + vX_[943] * vX_[84] + vX_[412];
+ vX_[943] = vX_[421] * vX_[32] + vX_[412] * vX_[7];
+ vX_[465] = vX_[943] * vX_[32] + vX_[523] * vX_[6];
+ vX_[363] = 0 - (vX_[465] + vX_[466] * vX_[47]);
+ vX_[371] = vX_[421] * vX_[6] + vX_[412] * vX_[32];
+ vX_[515] = vX_[371] * vX_[7] + vX_[518] * vX_[32];
+ vX_[477] = vX_[515] + vX_[471] * vX_[47];
+ vX_[543] = vX_[371] * vX_[32] + vX_[518] * vX_[6];
+ vX_[379] = vX_[943] * vX_[7] + vX_[523] * vX_[32];
+ vX_[246] = 0 - vX_[543] + vX_[379] + vX_[468] * vX_[47];
+ vX_[273] = 0 - vX_[476];
+ vX_[254] = 0 - vX_[467];
+ vX_[466] = vX_[468] * vX_[58] + vX_[466] * vX_[64] + vX_[471] * vX_[48] + vX_[442] * vX_[88] + vX_[260] * vX_[90] +
+ vX_[363] * vX_[35] + vX_[477] * vX_[33] + vX_[246] * vX_[31] + vX_[476] * vX_[57] + vX_[273] * vX_[62] +
+ vX_[254] * vX_[79] + vX_[471] * vX_[70];
+ vX_[468] = vX_[257] - vX_[444];
+ vX_[884] = vX_[468] * vX_[32] + vX_[420] * vX_[6];
+ vX_[816] = vX_[468] * vX_[7] + vX_[420] * vX_[32];
+ vX_[430] = 0 - vX_[430];
+ vX_[391] = vX_[816] + vX_[534];
+ jac[55] =
+ 0 -
+ (vX_[463] * vX_[301] + vX_[475] * vX_[302] + vX_[381] * vX_[43] + vX_[420] * vX_[40] + vX_[867] * vX_[88] +
+ vX_[534] * vX_[39] + vX_[368] * vX_[31] + vX_[421] * vX_[60] + vX_[819] * vX_[89] + vX_[272] * vX_[99] +
+ vX_[518] * vX_[59] + vX_[523] * vX_[66] + vX_[373] * vX_[92] + vX_[470] * vX_[77] + vX_[472] * vX_[81] +
+ vX_[22] * vX_[80] + vX_[386] * vX_[76] + vX_[504] * vX_[270] + vX_[544] * vX_[263] +
+ (vX_[464] * vX_[301] + vX_[466] * vX_[7] + vX_[504] * vX_[268]) * 0.112 -
+ (vX_[462] * vX_[318] + vX_[516] * vX_[267]) + (vX_[475] * vX_[318] + vX_[516] * vX_[263]) * 0.112 -
+ (vX_[464] * vX_[319] + vX_[468] * vX_[44] + vX_[949] * vX_[105] + vX_[884] * vX_[31] + vX_[816] * vX_[42] +
+ vX_[441] * vX_[100] + vX_[434] * vX_[92] + vX_[412] * vX_[67] + vX_[371] * vX_[52] +
+ vX_[943] * vX_[63] + vX_[394] * vX_[94] + vX_[287] * vX_[78] + vX_[352] * vX_[76] + vX_[356] * vX_[72] +
+ vX_[466] * vX_[46] + vX_[542] * vX_[268])) *
+ vX_[340] +
+ (vX_[462] * vX_[301] + vX_[463] * vX_[318] + vX_[464] * vX_[302] + vX_[475] * vX_[319] + vX_[468] * vX_[40] +
+ vX_[381] * vX_[133] + vX_[420] * vX_[44] + vX_[949] * vX_[88] + vX_[430] * vX_[105] + vX_[884] * vX_[39] +
+ vX_[391] * vX_[31] + vX_[368] * vX_[42] + vX_[421] * vX_[67] + vX_[441] * vX_[99] + vX_[434] * vX_[89] +
+ vX_[412] * vX_[60] + vX_[272] * vX_[100] + vX_[371] * vX_[59] + vX_[943] * vX_[66] + vX_[518] * vX_[52] +
+ vX_[523] * vX_[63] + vX_[396] * vX_[92] + vX_[373] * vX_[94] + vX_[287] * vX_[81] + vX_[470] * vX_[129] +
+ vX_[472] * vX_[78] + vX_[352] * vX_[80] + vX_[478] * vX_[76] + vX_[386] * vX_[72] + vX_[466] * vX_[45] +
+ vX_[504] * vX_[267] + vX_[516] * vX_[270] + vX_[544] * vX_[268] + vX_[542] * vX_[263] +
+ (vX_[475] * vX_[301] + vX_[466] * vX_[32] + vX_[504] * vX_[263]) * -0.112 +
+ (vX_[464] * vX_[318] + vX_[516] * vX_[268]) * 0.112) *
+ vX_[211];
+ vX_[415] = vX_[499] + vX_[415] * vX_[127] + vX_[517] * vX_[98];
+ vX_[565] = vX_[415] + vX_[565] * vX_[103] + vX_[557] * vX_[321];
+ vX_[876] = vX_[499] + vX_[637] * vX_[98] + vX_[876] * vX_[3];
+ vX_[454] = vX_[876] + vX_[454] * vX_[5] + vX_[551] * vX_[322];
+ vX_[468] = vX_[565] - vX_[454];
+ vX_[877] =
+ 0 - (vX_[460] * vX_[98] + vX_[482] * vX_[3]) + vX_[877] * vX_[5] + vX_[842] * vX_[103] + vX_[556] * vX_[321];
+ vX_[510] = vX_[460] * vX_[127] + vX_[628] * vX_[98] + vX_[279] * vX_[103] + vX_[510] * vX_[5] + vX_[556] * vX_[322];
+ vX_[279] = 0 - vX_[510];
+ vX_[628] = vX_[468] * vX_[6];
+ vX_[460] = vX_[468] * vX_[32];
+ vX_[482] = 0 - vX_[877];
+ vX_[842] = 0 - vX_[565];
+ vX_[512] = vX_[637] * vX_[127] + vX_[517] * vX_[3] + vX_[617] * vX_[98] + vX_[248] * vX_[5] + vX_[512] * vX_[103] +
+ vX_[557] * vX_[322] + vX_[551] * vX_[321];
+ vX_[248] = 0 - vX_[512];
+ vX_[874] = vX_[874] + vX_[284] * vX_[103] + vX_[557] * vX_[281] + vX_[569] * vX_[321];
+ vX_[284] = 0 - vX_[874];
+ vX_[886] = vX_[886] + vX_[305] * vX_[103] + vX_[557] * vX_[298] + vX_[571] * vX_[321];
+ vX_[305] = (vX_[842] * vX_[68] + vX_[248] * vX_[107] + vX_[284] * vX_[101] + (0 - vX_[886]) * -0.00021200017) * 1 /
+ vX_[83];
+ vX_[842] = vX_[560] * vX_[329] + vX_[482] * vX_[84] + vX_[842] * vX_[96] + vX_[305];
+ vX_[508] = vX_[612] + vX_[508] * vX_[5] + vX_[426] * vX_[103] * 2. + vX_[556] * vX_[281];
+ vX_[612] = vX_[508] * vX_[32] + vX_[874] * vX_[6];
+ vX_[617] = vX_[508] * vX_[7] + vX_[874] * vX_[32];
+ vX_[408] = vX_[563] + vX_[473] * vX_[103] + vX_[408] * vX_[5] * 2. + vX_[556] * vX_[298];
+ vX_[563] = 0 - vX_[510];
+ vX_[517] = 0 - vX_[454];
+ vX_[173] = vX_[527] + vX_[173] * vX_[5] + vX_[551] * vX_[281] + vX_[569] * vX_[322];
+ vX_[527] = 0 - vX_[173];
+ vX_[936] = (vX_[517] * vX_[107] + vX_[527] * vX_[101] +
+ (0 - (vX_[936] + vX_[236] * vX_[5] + vX_[551] * vX_[298] + vX_[571] * vX_[322])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[517] =
+ vX_[408] - (vX_[561] * vX_[329] + vX_[563] * vX_[84] + vX_[248] * vX_[96] + vX_[517] * vX_[113] + vX_[936]);
+ vX_[426] = vX_[426] + vX_[569] * vX_[281];
+ vX_[566] = vX_[566] + vX_[571] * vX_[298];
+ vX_[248] = vX_[426] - vX_[566];
+ vX_[236] = 0 - vX_[508];
+ vX_[426] = 0 - vX_[426];
+ vX_[473] = (vX_[426] * vX_[101] + (0 - (vX_[473] + vX_[569] * vX_[298] + vX_[571] * vX_[281])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[426] = vX_[570] * vX_[329] + vX_[236] * vX_[84] + vX_[284] * vX_[96] + vX_[527] * vX_[113] +
+ vX_[426] * vX_[119] + vX_[473];
+ vX_[527] = vX_[248] * vX_[6];
+ vX_[284] = vX_[248] * vX_[32];
+ vX_[876] = vX_[609] + vX_[872] + vX_[499] - vX_[415] - vX_[876] + vX_[564] * vX_[103] + vX_[315] * vX_[5];
+ vX_[415] = 0 - vX_[876];
+ vX_[236] = (vX_[415] * vX_[69] + vX_[482] * vX_[68] + vX_[563] * vX_[107] + vX_[236] * vX_[101] +
+ (0 - vX_[408]) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[473] = 0 - vX_[566] + 0 - vX_[559] * vX_[335] - vX_[560] * vX_[351] - vX_[561] * vX_[275] -
+ vX_[562] * vX_[326] + vX_[562] * vX_[329] - vX_[570] * vX_[330] - vX_[572] * vX_[334] -
+ vX_[236] * vX_[84] - vX_[305] * vX_[96] - vX_[936] * vX_[113] - vX_[473] * vX_[119] -
+ (0 - vX_[566]) * -0.00021200017 * 1 / vX_[83] * vX_[140];
+ vX_[936] = vX_[473] * vX_[32] + vX_[426] * vX_[6];
+ vX_[305] = vX_[473] * vX_[7] + vX_[426] * vX_[32];
+ vX_[572] = vX_[305] + vX_[527];
+ vX_[570] = vX_[936] * vX_[7] + vX_[572] * vX_[32] + vX_[284] * vX_[6];
+ vX_[562] = 0 - vX_[570];
+ vX_[561] = vX_[566] + vX_[936] * vX_[32] + vX_[527] * vX_[6];
+ vX_[560] = 0 - vX_[561];
+ vX_[566] = vX_[566] + vX_[305] * vX_[7] + vX_[284] * vX_[32];
+ vX_[173] = vX_[173] - vX_[886];
+ vX_[563] = vX_[408] * vX_[32] + vX_[886] * vX_[6] - (vX_[173] * vX_[7] + vX_[517] * vX_[32]);
+ vX_[482] = 0 - vX_[563];
+ vX_[315] = vX_[886] + vX_[173];
+ vX_[564] = vX_[408] * vX_[7] + vX_[315] * vX_[32] + vX_[517] * vX_[6];
+ vX_[236] = vX_[559] * vX_[329] + vX_[415] * vX_[84] + vX_[236];
+ vX_[415] = vX_[842] * vX_[32] + vX_[236] * vX_[7];
+ vX_[559] = vX_[415] * vX_[32] + vX_[617] * vX_[6];
+ vX_[872] = 0 - (vX_[559] + vX_[560] * vX_[47]);
+ vX_[499] = vX_[842] * vX_[6] + vX_[236] * vX_[32];
+ vX_[609] = vX_[499] * vX_[7] + vX_[612] * vX_[32];
+ vX_[571] = vX_[609] + vX_[566] * vX_[47];
+ vX_[637] = vX_[499] * vX_[32] + vX_[612] * vX_[6];
+ vX_[466] = vX_[415] * vX_[7] + vX_[617] * vX_[32];
+ vX_[371] = 0 - vX_[637] + vX_[466] + vX_[562] * vX_[47];
+ vX_[943] = 0 - vX_[570];
+ vX_[412] = 0 - vX_[561];
+ vX_[560] = vX_[562] * vX_[58] + vX_[560] * vX_[64] + vX_[566] * vX_[48] + vX_[482] * vX_[88] + vX_[564] * vX_[90] +
+ vX_[872] * vX_[35] + vX_[571] * vX_[33] + vX_[371] * vX_[31] + vX_[570] * vX_[57] + vX_[943] * vX_[62] +
+ vX_[412] * vX_[79] + vX_[566] * vX_[70];
+ vX_[562] = vX_[876] - vX_[454];
+ vX_[396] = vX_[562] * vX_[32] + vX_[877] * vX_[6];
+ vX_[394] = vX_[562] * vX_[7] + vX_[877] * vX_[32];
+ vX_[510] = 0 - vX_[510];
+ vX_[478] = vX_[394] + vX_[628];
+ jac[56] =
+ 0 -
+ (vX_[557] * vX_[301] + vX_[569] * vX_[302] + vX_[468] * vX_[43] + vX_[877] * vX_[40] + vX_[279] * vX_[88] +
+ vX_[628] * vX_[39] + vX_[460] * vX_[31] + vX_[842] * vX_[60] + vX_[886] * vX_[89] + vX_[874] * vX_[99] +
+ vX_[612] * vX_[59] + vX_[617] * vX_[66] + vX_[517] * vX_[92] + vX_[248] * vX_[77] + vX_[426] * vX_[81] +
+ vX_[527] * vX_[80] + vX_[284] * vX_[76] + vX_[598] * vX_[270] + vX_[638] * vX_[263] +
+ (vX_[558] * vX_[301] + vX_[560] * vX_[7] + vX_[598] * vX_[268]) * 0.112 -
+ (vX_[556] * vX_[318] + vX_[610] * vX_[267]) + (vX_[569] * vX_[318] + vX_[610] * vX_[263]) * 0.112 -
+ (vX_[558] * vX_[319] + vX_[562] * vX_[44] + vX_[512] * vX_[105] + vX_[396] * vX_[31] + vX_[394] * vX_[42] +
+ vX_[508] * vX_[100] + vX_[408] * vX_[92] + vX_[236] * vX_[67] + vX_[499] * vX_[52] +
+ vX_[415] * vX_[63] + vX_[173] * vX_[94] + vX_[473] * vX_[78] + vX_[936] * vX_[76] + vX_[305] * vX_[72] +
+ vX_[560] * vX_[46] + vX_[636] * vX_[268])) *
+ vX_[340] +
+ (vX_[556] * vX_[301] + vX_[557] * vX_[318] + vX_[558] * vX_[302] + vX_[569] * vX_[319] + vX_[562] * vX_[40] +
+ vX_[468] * vX_[133] + vX_[877] * vX_[44] + vX_[512] * vX_[88] + vX_[510] * vX_[105] + vX_[396] * vX_[39] +
+ vX_[478] * vX_[31] + vX_[460] * vX_[42] + vX_[842] * vX_[67] + vX_[508] * vX_[99] + vX_[408] * vX_[89] +
+ vX_[236] * vX_[60] + vX_[874] * vX_[100] + vX_[499] * vX_[59] + vX_[415] * vX_[66] + vX_[612] * vX_[52] +
+ vX_[617] * vX_[63] + vX_[315] * vX_[92] + vX_[517] * vX_[94] + vX_[473] * vX_[81] + vX_[248] * vX_[129] +
+ vX_[426] * vX_[78] + vX_[936] * vX_[80] + vX_[572] * vX_[76] + vX_[284] * vX_[72] + vX_[560] * vX_[45] +
+ vX_[598] * vX_[267] + vX_[610] * vX_[270] + vX_[638] * vX_[268] + vX_[636] * vX_[263] +
+ (vX_[569] * vX_[301] + vX_[560] * vX_[32] + vX_[598] * vX_[263]) * -0.112 +
+ (vX_[558] * vX_[318] + vX_[610] * vX_[268]) * 0.112) *
+ vX_[211];
+ vX_[483] = vX_[593] + vX_[483] * vX_[127] + vX_[611] * vX_[98];
+ vX_[670] = vX_[483] + vX_[670] * vX_[103] + vX_[662] * vX_[321];
+ vX_[242] = vX_[593] + vX_[742] * vX_[98] + vX_[242] * vX_[3];
+ vX_[576] = vX_[242] + vX_[576] * vX_[5] + vX_[656] * vX_[322];
+ vX_[562] = vX_[670] - vX_[576];
+ vX_[450] =
+ 0 - (vX_[554] * vX_[98] + vX_[649] * vX_[3]) + vX_[450] * vX_[5] + vX_[847] * vX_[103] + vX_[661] * vX_[321];
+ vX_[604] = vX_[554] * vX_[127] + vX_[733] * vX_[98] + vX_[525] * vX_[103] + vX_[604] * vX_[5] + vX_[661] * vX_[322];
+ vX_[525] = 0 - vX_[604];
+ vX_[733] = vX_[562] * vX_[6];
+ vX_[554] = vX_[562] * vX_[32];
+ vX_[682] = vX_[682] * vX_[439] + vX_[98] * vX_[152] + vX_[269] * vX_[0] + vX_[321];
+ vX_[269] = 0 - vX_[450];
+ vX_[649] = 0 - vX_[670];
+ vX_[540] = vX_[742] * vX_[127] + vX_[611] * vX_[3] + vX_[722] * vX_[98] + vX_[608] * vX_[5] + vX_[540] * vX_[103] +
+ vX_[662] * vX_[322] + vX_[656] * vX_[321];
+ vX_[608] = 0 - vX_[540];
+ vX_[751] = vX_[751] + vX_[623] * vX_[103] + vX_[662] * vX_[281] + vX_[674] * vX_[321];
+ vX_[623] = 0 - vX_[751];
+ vX_[494] = vX_[494] + vX_[577] * vX_[103] + vX_[662] * vX_[298] + vX_[676] * vX_[321];
+ vX_[577] = (vX_[649] * vX_[68] + vX_[608] * vX_[107] + vX_[623] * vX_[101] + (0 - vX_[494]) * -0.00021200017) * 1 /
+ vX_[83];
+ vX_[649] = vX_[631] * vX_[682] + vX_[665] * vX_[329] + vX_[269] * vX_[84] + vX_[649] * vX_[96] + vX_[577];
+ vX_[878] = vX_[717] + vX_[878] * vX_[5] + vX_[553] * vX_[103] * 2. + vX_[661] * vX_[281];
+ vX_[717] = vX_[878] * vX_[32] + vX_[751] * vX_[6];
+ vX_[631] = vX_[878] * vX_[7] + vX_[751] * vX_[32];
+ vX_[533] = vX_[668] + vX_[459] * vX_[103] + vX_[533] * vX_[5] * 2. + vX_[661] * vX_[298];
+ vX_[152] = vX_[98] * vX_[439] + vX_[3] * vX_[152] + vX_[4] * vX_[0] + vX_[322];
+ vX_[439] = 0 - vX_[604];
+ vX_[4] = 0 - vX_[576];
+ vX_[602] = vX_[484] + vX_[602] * vX_[5] + vX_[656] * vX_[281] + vX_[674] * vX_[322];
+ vX_[484] = 0 - vX_[602];
+ vX_[423] = (vX_[4] * vX_[107] + vX_[484] * vX_[101] +
+ (0 - (vX_[423] + vX_[567] * vX_[5] + vX_[656] * vX_[298] + vX_[676] * vX_[322])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[4] = vX_[533] - (vX_[639] * vX_[152] + vX_[666] * vX_[329] + vX_[439] * vX_[84] + vX_[608] * vX_[96] +
+ vX_[4] * vX_[113] + vX_[423]);
+ vX_[553] = vX_[553] + vX_[674] * vX_[281];
+ vX_[671] = vX_[671] + vX_[676] * vX_[298];
+ vX_[608] = vX_[553] - vX_[671];
+ vX_[639] = vX_[127] * vX_[353] + vX_[98] * vX_[159] + vX_[281];
+ vX_[567] = 0 - vX_[878];
+ vX_[553] = 0 - vX_[553];
+ vX_[459] = (vX_[553] * vX_[101] + (0 - (vX_[459] + vX_[674] * vX_[298] + vX_[676] * vX_[281])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[553] = vX_[502] * vX_[639] + vX_[675] * vX_[329] + vX_[567] * vX_[84] + vX_[623] * vX_[96] +
+ vX_[484] * vX_[113] + vX_[553] * vX_[119] + vX_[459];
+ vX_[484] = vX_[608] * vX_[6];
+ vX_[623] = vX_[608] * vX_[32];
+ vX_[0] = -1 * vX_[0];
+ vX_[353] = vX_[98] * vX_[353] + vX_[3] * vX_[159] + vX_[298];
+ vX_[159] = -0.304 * vX_[159] + -1 * vX_[414];
+ vX_[414] = (vX_[329] - vX_[83] * vX_[0] - vX_[101] * vX_[639] - -0.00021200017 * vX_[353] - vX_[69] * vX_[159] -
+ vX_[68] * vX_[682] - vX_[107] * vX_[152]) /
+ vX_[83];
+ vX_[242] = vX_[714] + vX_[501] + vX_[593] - vX_[483] - vX_[242] + vX_[669] * vX_[103] + vX_[354] * vX_[5];
+ vX_[483] = 0 - vX_[242];
+ vX_[567] = (vX_[483] * vX_[69] + vX_[269] * vX_[68] + vX_[439] * vX_[107] + vX_[567] * vX_[101] +
+ (0 - vX_[533]) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[459] = 0 - vX_[671] + 0 - vX_[606] * vX_[414] + vX_[616] * vX_[0] - vX_[664] * vX_[335] - vX_[665] * vX_[351] -
+ vX_[666] * vX_[275] - vX_[667] * vX_[326] + vX_[667] * vX_[329] - vX_[675] * vX_[330] -
+ vX_[677] * vX_[334] - vX_[567] * vX_[84] - vX_[577] * vX_[96] - vX_[423] * vX_[113] -
+ vX_[459] * vX_[119] - (0 - vX_[671]) * -0.00021200017 * 1 / vX_[83] * vX_[140];
+ vX_[423] = vX_[459] * vX_[32] + vX_[553] * vX_[6];
+ vX_[577] = vX_[459] * vX_[7] + vX_[553] * vX_[32];
+ vX_[677] = vX_[577] + vX_[484];
+ vX_[675] = vX_[423] * vX_[7] + vX_[677] * vX_[32] + vX_[623] * vX_[6];
+ vX_[667] = 0 - vX_[675];
+ vX_[666] = vX_[671] + vX_[423] * vX_[32] + vX_[484] * vX_[6];
+ vX_[665] = 0 - vX_[666];
+ vX_[671] = vX_[671] + vX_[577] * vX_[7] + vX_[623] * vX_[32];
+ vX_[602] = vX_[602] - vX_[494];
+ vX_[616] = vX_[533] * vX_[32] + vX_[494] * vX_[6] - (vX_[602] * vX_[7] + vX_[4] * vX_[32]);
+ vX_[606] = 0 - vX_[616];
+ vX_[439] = vX_[494] + vX_[602];
+ vX_[269] = vX_[533] * vX_[7] + vX_[439] * vX_[32] + vX_[4] * vX_[6];
+ vX_[567] = vX_[514] * vX_[159] + vX_[664] * vX_[329] + vX_[483] * vX_[84] + vX_[567];
+ vX_[483] = vX_[649] * vX_[32] + vX_[567] * vX_[7];
+ vX_[664] = vX_[483] * vX_[32] + vX_[631] * vX_[6];
+ vX_[514] = 0 - (vX_[664] + vX_[665] * vX_[47]);
+ vX_[354] = vX_[649] * vX_[6] + vX_[567] * vX_[32];
+ vX_[669] = vX_[354] * vX_[7] + vX_[717] * vX_[32];
+ vX_[501] = vX_[669] + vX_[671] * vX_[47];
+ vX_[593] = vX_[354] * vX_[32] + vX_[717] * vX_[6];
+ vX_[714] = vX_[483] * vX_[7] + vX_[631] * vX_[32];
+ vX_[502] = 0 - vX_[593] + vX_[714] + vX_[667] * vX_[47];
+ vX_[676] = 0 - vX_[675];
+ vX_[668] = 0 - vX_[666];
+ vX_[665] = vX_[667] * vX_[58] + vX_[665] * vX_[64] + vX_[671] * vX_[48] + vX_[606] * vX_[88] + vX_[269] * vX_[90] +
+ vX_[514] * vX_[35] + vX_[501] * vX_[33] + vX_[502] * vX_[31] + vX_[675] * vX_[57] + vX_[676] * vX_[62] +
+ vX_[668] * vX_[79] + vX_[671] * vX_[70];
+ vX_[667] = vX_[242] - vX_[576];
+ vX_[722] = vX_[667] * vX_[32] + vX_[450] * vX_[6];
+ vX_[611] = vX_[667] * vX_[7] + vX_[450] * vX_[32];
+ vX_[604] = 0 - vX_[604];
+ vX_[742] = vX_[611] + vX_[733];
+ jac[57] =
+ 0 -
+ (vX_[662] * vX_[301] + vX_[674] * vX_[302] + vX_[562] * vX_[43] + vX_[450] * vX_[40] + vX_[525] * vX_[88] +
+ vX_[733] * vX_[39] + vX_[554] * vX_[31] + vX_[649] * vX_[60] + vX_[494] * vX_[89] + vX_[751] * vX_[99] +
+ vX_[717] * vX_[59] + vX_[631] * vX_[66] + vX_[4] * vX_[92] + vX_[608] * vX_[77] + vX_[553] * vX_[81] +
+ vX_[484] * vX_[80] + vX_[623] * vX_[76] + vX_[703] * vX_[270] + vX_[743] * vX_[263] +
+ (vX_[663] * vX_[301] + vX_[665] * vX_[7] + vX_[703] * vX_[268]) * 0.112 -
+ (vX_[661] * vX_[318] + vX_[715] * vX_[267]) + (vX_[674] * vX_[318] + vX_[715] * vX_[263]) * 0.112 -
+ (vX_[663] * vX_[319] + vX_[667] * vX_[44] + vX_[540] * vX_[105] + vX_[722] * vX_[31] + vX_[611] * vX_[42] +
+ vX_[878] * vX_[100] + vX_[533] * vX_[92] + vX_[567] * vX_[67] + vX_[354] * vX_[52] +
+ vX_[483] * vX_[63] + vX_[602] * vX_[94] + vX_[459] * vX_[78] + vX_[423] * vX_[76] + vX_[577] * vX_[72] +
+ vX_[665] * vX_[46] + vX_[741] * vX_[268])) *
+ vX_[340] +
+ (vX_[661] * vX_[301] + vX_[662] * vX_[318] + vX_[663] * vX_[302] + vX_[674] * vX_[319] + vX_[667] * vX_[40] +
+ vX_[562] * vX_[133] + vX_[450] * vX_[44] + vX_[540] * vX_[88] + vX_[604] * vX_[105] + vX_[722] * vX_[39] +
+ vX_[742] * vX_[31] + vX_[554] * vX_[42] + vX_[649] * vX_[67] + vX_[878] * vX_[99] + vX_[533] * vX_[89] +
+ vX_[567] * vX_[60] + vX_[751] * vX_[100] + vX_[354] * vX_[59] + vX_[483] * vX_[66] + vX_[717] * vX_[52] +
+ vX_[631] * vX_[63] + vX_[439] * vX_[92] + vX_[4] * vX_[94] + vX_[459] * vX_[81] + vX_[608] * vX_[129] +
+ vX_[553] * vX_[78] + vX_[423] * vX_[80] + vX_[677] * vX_[76] + vX_[623] * vX_[72] + vX_[665] * vX_[45] +
+ vX_[703] * vX_[267] + vX_[715] * vX_[270] + vX_[743] * vX_[268] + vX_[741] * vX_[263] +
+ (vX_[674] * vX_[301] + vX_[665] * vX_[32] + vX_[703] * vX_[263]) * -0.112 +
+ (vX_[663] * vX_[318] + vX_[715] * vX_[268]) * 0.112) *
+ vX_[211];
+ vX_[632] = vX_[698] + vX_[632] * vX_[127] + vX_[716] * vX_[98];
+ vX_[787] = vX_[632] + vX_[787] * vX_[103] + vX_[779] * vX_[321];
+ vX_[526] = vX_[698] + vX_[859] * vX_[98] + vX_[526] * vX_[3];
+ vX_[755] = vX_[526] + vX_[755] * vX_[5] + vX_[773] * vX_[322];
+ vX_[667] = vX_[787] - vX_[755];
+ vX_[588] =
+ 0 - (vX_[659] * vX_[98] + vX_[766] * vX_[3]) + vX_[588] * vX_[5] + vX_[545] * vX_[103] + vX_[778] * vX_[321];
+ vX_[709] = vX_[659] * vX_[127] + vX_[850] * vX_[98] + vX_[362] * vX_[103] + vX_[709] * vX_[5] + vX_[778] * vX_[322];
+ vX_[362] = 0 - vX_[709];
+ vX_[850] = vX_[667] * vX_[6];
+ vX_[659] = vX_[667] * vX_[32];
+ vX_[766] = 0 - vX_[588];
+ vX_[545] = 0 - vX_[787];
+ vX_[723] = vX_[859] * vX_[127] + vX_[716] * vX_[3] + vX_[839] * vX_[98] + vX_[748] * vX_[5] + vX_[723] * vX_[103] +
+ vX_[779] * vX_[322] + vX_[773] * vX_[321];
+ vX_[748] = 0 - vX_[723];
+ vX_[619] = vX_[619] + vX_[750] * vX_[103] + vX_[779] * vX_[281] + vX_[791] * vX_[321];
+ vX_[750] = 0 - vX_[619];
+ vX_[435] = vX_[435] + vX_[495] * vX_[103] + vX_[779] * vX_[298] + vX_[793] * vX_[321];
+ vX_[495] = (vX_[545] * vX_[68] + vX_[748] * vX_[107] + vX_[750] * vX_[101] + (0 - vX_[435]) * -0.00021200017) * 1 /
+ vX_[83];
+ vX_[545] = vX_[641] * vX_[682] + vX_[782] * vX_[329] + vX_[766] * vX_[84] + vX_[545] * vX_[96] + vX_[495];
+ vX_[707] = vX_[834] + vX_[707] * vX_[5] + vX_[531] * vX_[103] * 2. + vX_[778] * vX_[281];
+ vX_[834] = vX_[707] * vX_[32] + vX_[619] * vX_[6];
+ vX_[641] = vX_[707] * vX_[7] + vX_[619] * vX_[32];
+ vX_[453] = vX_[785] + vX_[672] * vX_[103] + vX_[453] * vX_[5] * 2. + vX_[778] * vX_[298];
+ vX_[785] = 0 - vX_[709];
+ vX_[839] = 0 - vX_[755];
+ vX_[331] = vX_[726] + vX_[331] * vX_[5] + vX_[773] * vX_[281] + vX_[791] * vX_[322];
+ vX_[726] = 0 - vX_[331];
+ vX_[440] = (vX_[839] * vX_[107] + vX_[726] * vX_[101] +
+ (0 - (vX_[440] + vX_[621] * vX_[5] + vX_[773] * vX_[298] + vX_[793] * vX_[322])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[839] = vX_[453] - (vX_[578] * vX_[152] + vX_[783] * vX_[329] + vX_[785] * vX_[84] + vX_[748] * vX_[96] +
+ vX_[839] * vX_[113] + vX_[440]);
+ vX_[531] = vX_[531] + vX_[791] * vX_[281];
+ vX_[788] = vX_[788] + vX_[793] * vX_[298];
+ vX_[748] = vX_[531] - vX_[788];
+ vX_[578] = 0 - vX_[707];
+ vX_[531] = 0 - vX_[531];
+ vX_[672] = (vX_[531] * vX_[101] + (0 - (vX_[672] + vX_[791] * vX_[298] + vX_[793] * vX_[281])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[531] = vX_[713] * vX_[639] + vX_[792] * vX_[329] + vX_[578] * vX_[84] + vX_[750] * vX_[96] +
+ vX_[726] * vX_[113] + vX_[531] * vX_[119] + vX_[672];
+ vX_[726] = vX_[748] * vX_[6];
+ vX_[750] = vX_[748] * vX_[32];
+ vX_[713] = vX_[0] + vX_[414];
+ vX_[526] = vX_[831] + vX_[595] + vX_[698] - vX_[632] - vX_[526] + vX_[786] * vX_[103] + vX_[529] * vX_[5];
+ vX_[632] = 0 - vX_[526];
+ vX_[578] = (vX_[632] * vX_[69] + vX_[766] * vX_[68] + vX_[785] * vX_[107] + vX_[578] * vX_[101] +
+ (0 - vX_[453]) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[672] = 0 - vX_[788] + 0 - vX_[642] * vX_[414] + vX_[749] * vX_[0] - vX_[781] * vX_[335] - vX_[782] * vX_[351] -
+ vX_[783] * vX_[275] - vX_[784] * vX_[326] + vX_[784] * vX_[329] - vX_[792] * vX_[330] -
+ vX_[794] * vX_[334] - vX_[578] * vX_[84] - vX_[495] * vX_[96] - vX_[440] * vX_[113] -
+ vX_[672] * vX_[119] - (0 - vX_[788]) * -0.00021200017 * 1 / vX_[83] * vX_[140];
+ vX_[440] = vX_[672] * vX_[32] + vX_[531] * vX_[6];
+ vX_[495] = vX_[672] * vX_[7] + vX_[531] * vX_[32];
+ vX_[794] = vX_[495] + vX_[726];
+ vX_[792] = vX_[440] * vX_[7] + vX_[794] * vX_[32] + vX_[750] * vX_[6];
+ vX_[784] = 0 - vX_[792];
+ vX_[783] = vX_[788] + vX_[440] * vX_[32] + vX_[726] * vX_[6];
+ vX_[782] = 0 - vX_[783];
+ vX_[788] = vX_[788] + vX_[495] * vX_[7] + vX_[750] * vX_[32];
+ vX_[331] = vX_[331] - vX_[435];
+ vX_[749] = vX_[453] * vX_[32] + vX_[435] * vX_[6] - (vX_[331] * vX_[7] + vX_[839] * vX_[32]);
+ vX_[642] = 0 - vX_[749];
+ vX_[785] = vX_[435] + vX_[331];
+ vX_[766] = vX_[453] * vX_[7] + vX_[785] * vX_[32] + vX_[839] * vX_[6];
+ vX_[578] = vX_[699] * vX_[159] + vX_[781] * vX_[329] + vX_[632] * vX_[84] + vX_[578];
+ vX_[632] = vX_[545] * vX_[32] + vX_[578] * vX_[7];
+ vX_[781] = vX_[632] * vX_[32] + vX_[641] * vX_[6];
+ vX_[699] = 0 - (vX_[781] + vX_[782] * vX_[47]);
+ vX_[529] = vX_[545] * vX_[6] + vX_[578] * vX_[32];
+ vX_[786] = vX_[529] * vX_[7] + vX_[834] * vX_[32];
+ vX_[595] = vX_[786] + vX_[788] * vX_[47];
+ vX_[698] = vX_[529] * vX_[32] + vX_[834] * vX_[6];
+ vX_[831] = vX_[632] * vX_[7] + vX_[641] * vX_[32];
+ vX_[793] = 0 - vX_[698] + vX_[831] + vX_[784] * vX_[47];
+ vX_[621] = 0 - vX_[792];
+ vX_[716] = 0 - vX_[783];
+ vX_[782] = vX_[784] * vX_[58] + vX_[782] * vX_[64] + vX_[788] * vX_[48] + vX_[642] * vX_[88] + vX_[766] * vX_[90] +
+ vX_[699] * vX_[35] + vX_[595] * vX_[33] + vX_[793] * vX_[31] + vX_[792] * vX_[57] + vX_[621] * vX_[62] +
+ vX_[716] * vX_[79] + vX_[788] * vX_[70];
+ vX_[784] = vX_[526] - vX_[755];
+ vX_[859] = vX_[784] * vX_[32] + vX_[588] * vX_[6];
+ vX_[665] = vX_[784] * vX_[7] + vX_[588] * vX_[32];
+ vX_[709] = 0 - vX_[709];
+ vX_[354] = vX_[665] + vX_[850];
+ jac[58] =
+ 0 -
+ (vX_[697] * vX_[682] + vX_[646] * vX_[639] + vX_[779] * vX_[301] + vX_[791] * vX_[302] + vX_[667] * vX_[43] +
+ vX_[588] * vX_[40] + vX_[362] * vX_[88] + vX_[850] * vX_[39] + vX_[659] * vX_[31] + vX_[545] * vX_[60] +
+ vX_[435] * vX_[89] + vX_[619] * vX_[99] + vX_[834] * vX_[59] + vX_[641] * vX_[66] + vX_[839] * vX_[92] +
+ vX_[748] * vX_[77] + vX_[531] * vX_[81] + vX_[726] * vX_[80] + vX_[750] * vX_[76] + vX_[820] * vX_[270] +
+ vX_[860] * vX_[263] +
+ (vX_[697] * vX_[713] + vX_[780] * vX_[301] + vX_[782] * vX_[7] + vX_[820] * vX_[268]) * 0.112 -
+ (vX_[740] * vX_[159] + vX_[778] * vX_[318] + vX_[832] * vX_[267]) +
+ (vX_[740] * vX_[639] + vX_[791] * vX_[318] + vX_[832] * vX_[263]) * 0.112 -
+ (vX_[644] * vX_[713] + vX_[780] * vX_[319] + vX_[784] * vX_[44] + vX_[723] * vX_[105] + vX_[859] * vX_[31] +
+ vX_[665] * vX_[42] + vX_[707] * vX_[100] + vX_[453] * vX_[92] + vX_[578] * vX_[67] +
+ vX_[529] * vX_[52] + vX_[632] * vX_[63] + vX_[331] * vX_[94] + vX_[672] * vX_[78] + vX_[440] * vX_[76] +
+ vX_[495] * vX_[72] + vX_[782] * vX_[46] + vX_[858] * vX_[268])) *
+ vX_[340] +
+ (vX_[697] * vX_[159] + vX_[740] * vX_[682] + vX_[646] * vX_[713] + vX_[644] * vX_[639] + vX_[778] * vX_[301] +
+ vX_[779] * vX_[318] + vX_[780] * vX_[302] + vX_[791] * vX_[319] + vX_[784] * vX_[40] + vX_[667] * vX_[133] +
+ vX_[588] * vX_[44] + vX_[723] * vX_[88] + vX_[709] * vX_[105] + vX_[859] * vX_[39] + vX_[354] * vX_[31] +
+ vX_[659] * vX_[42] + vX_[545] * vX_[67] + vX_[707] * vX_[99] + vX_[453] * vX_[89] + vX_[578] * vX_[60] +
+ vX_[619] * vX_[100] + vX_[529] * vX_[59] + vX_[632] * vX_[66] + vX_[834] * vX_[52] + vX_[641] * vX_[63] +
+ vX_[785] * vX_[92] + vX_[839] * vX_[94] + vX_[672] * vX_[81] + vX_[748] * vX_[129] + vX_[531] * vX_[78] +
+ vX_[440] * vX_[80] + vX_[794] * vX_[76] + vX_[750] * vX_[72] + vX_[782] * vX_[45] + vX_[820] * vX_[267] +
+ vX_[832] * vX_[270] + vX_[860] * vX_[268] + vX_[858] * vX_[263] +
+ (vX_[697] * vX_[639] + vX_[791] * vX_[301] + vX_[782] * vX_[32] + vX_[820] * vX_[263]) * -0.112 +
+ (vX_[740] * vX_[713] + vX_[780] * vX_[318] + vX_[832] * vX_[268]) * 0.112) *
+ vX_[211];
+ vX_[202] = vX_[147] + vX_[202] * vX_[127] + vX_[1] * vX_[98];
+ vX_[775] = vX_[202] + vX_[775] * vX_[103] + vX_[894] * vX_[321];
+ vX_[194] = vX_[147] + vX_[49] * vX_[98] + vX_[194] * vX_[3];
+ vX_[648] = vX_[194] + vX_[648] * vX_[5] + vX_[888] * vX_[322];
+ vX_[784] = vX_[775] - vX_[648];
+ vX_[328] =
+ 0 - (vX_[182] * vX_[98] + vX_[239] * vX_[3]) + vX_[328] * vX_[5] + vX_[900] * vX_[103] + vX_[893] * vX_[321];
+ vX_[216] = vX_[182] * vX_[127] + vX_[198] * vX_[98] + vX_[355] * vX_[103] + vX_[216] * vX_[5] + vX_[893] * vX_[322];
+ vX_[355] = 0 - vX_[216];
+ vX_[198] = vX_[784] * vX_[6];
+ vX_[182] = vX_[784] * vX_[32];
+ vX_[239] = 0 - vX_[328];
+ vX_[900] = 0 - vX_[775];
+ vX_[903] = vX_[49] * vX_[127] + vX_[1] * vX_[3] + vX_[620] * vX_[98] + vX_[149] * vX_[5] + vX_[903] * vX_[103] +
+ vX_[894] * vX_[322] + vX_[888] * vX_[321];
+ vX_[149] = 0 - vX_[903];
+ vX_[902] = vX_[902] + vX_[866] * vX_[103] + vX_[894] * vX_[281] + vX_[906] * vX_[321];
+ vX_[866] = 0 - vX_[902];
+ vX_[262] = vX_[262] + vX_[871] * vX_[103] + vX_[894] * vX_[298] + vX_[908] * vX_[321];
+ vX_[871] = (vX_[900] * vX_[68] + vX_[149] * vX_[107] + vX_[866] * vX_[101] + (0 - vX_[262]) * -0.00021200017) * 1 /
+ vX_[83];
+ vX_[900] = vX_[757] * vX_[682] + vX_[897] * vX_[329] + vX_[239] * vX_[84] + vX_[900] * vX_[96] + vX_[871];
+ vX_[348] = vX_[951] + vX_[348] * vX_[5] + vX_[165] * vX_[103] * 2. + vX_[893] * vX_[281];
+ vX_[951] = vX_[348] * vX_[32] + vX_[902] * vX_[6];
+ vX_[757] = vX_[348] * vX_[7] + vX_[902] * vX_[32];
+ vX_[148] = vX_[358] + vX_[191] * vX_[103] + vX_[148] * vX_[5] * 2. + vX_[893] * vX_[298];
+ vX_[358] = 0 - vX_[216];
+ vX_[321] = 0 - vX_[648];
+ vX_[325] = vX_[864] + vX_[325] * vX_[5] + vX_[888] * vX_[281] + vX_[906] * vX_[322];
+ vX_[864] = 0 - vX_[325];
+ vX_[901] = (vX_[321] * vX_[107] + vX_[864] * vX_[101] +
+ (0 - (vX_[901] + vX_[347] * vX_[5] + vX_[888] * vX_[298] + vX_[908] * vX_[322])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[321] = vX_[148] - (vX_[818] * vX_[152] + vX_[898] * vX_[329] + vX_[358] * vX_[84] + vX_[149] * vX_[96] +
+ vX_[321] * vX_[113] + vX_[901]);
+ vX_[165] = vX_[165] + vX_[906] * vX_[281];
+ vX_[158] = vX_[158] + vX_[908] * vX_[298];
+ vX_[149] = vX_[165] - vX_[158];
+ vX_[818] = 0 - vX_[348];
+ vX_[165] = 0 - vX_[165];
+ vX_[191] = (vX_[165] * vX_[101] + (0 - (vX_[191] + vX_[906] * vX_[298] + vX_[908] * vX_[281])) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[165] = vX_[838] * vX_[639] + vX_[907] * vX_[329] + vX_[818] * vX_[84] + vX_[866] * vX_[96] +
+ vX_[864] * vX_[113] + vX_[165] * vX_[119] + vX_[191];
+ vX_[864] = vX_[149] * vX_[6];
+ vX_[866] = vX_[149] * vX_[32];
+ vX_[194] = vX_[946] + vX_[700] + vX_[147] - vX_[202] - vX_[194] + vX_[214] * vX_[103] + vX_[359] * vX_[5];
+ vX_[202] = 0 - vX_[194];
+ vX_[818] = (vX_[202] * vX_[69] + vX_[239] * vX_[68] + vX_[358] * vX_[107] + vX_[818] * vX_[101] +
+ (0 - vX_[148]) * -0.00021200017) *
+ 1 / vX_[83];
+ vX_[191] = 0 - vX_[158] + 0 - vX_[758] * vX_[414] + vX_[865] * vX_[0] - vX_[896] * vX_[335] - vX_[897] * vX_[351] -
+ vX_[898] * vX_[275] - vX_[899] * vX_[326] + vX_[899] * vX_[329] - vX_[907] * vX_[330] -
+ vX_[909] * vX_[334] - vX_[818] * vX_[84] - vX_[871] * vX_[96] - vX_[901] * vX_[113] -
+ vX_[191] * vX_[119] - (0 - vX_[158]) * -0.00021200017 * 1 / vX_[83] * vX_[140];
+ vX_[901] = vX_[191] * vX_[32] + vX_[165] * vX_[6];
+ vX_[871] = vX_[191] * vX_[7] + vX_[165] * vX_[32];
+ vX_[414] = vX_[871] + vX_[864];
+ vX_[0] = vX_[901] * vX_[7] + vX_[414] * vX_[32] + vX_[866] * vX_[6];
+ vX_[909] = 0 - vX_[0];
+ vX_[907] = vX_[158] + vX_[901] * vX_[32] + vX_[864] * vX_[6];
+ vX_[899] = 0 - vX_[907];
+ vX_[158] = vX_[158] + vX_[871] * vX_[7] + vX_[866] * vX_[32];
+ vX_[325] = vX_[325] - vX_[262];
+ vX_[898] = vX_[148] * vX_[32] + vX_[262] * vX_[6] - (vX_[325] * vX_[7] + vX_[321] * vX_[32]);
+ vX_[897] = 0 - vX_[898];
+ vX_[865] = vX_[262] + vX_[325];
+ vX_[758] = vX_[148] * vX_[7] + vX_[865] * vX_[32] + vX_[321] * vX_[6];
+ vX_[818] = vX_[798] * vX_[159] + vX_[896] * vX_[329] + vX_[202] * vX_[84] + vX_[818];
+ vX_[202] = vX_[900] * vX_[32] + vX_[818] * vX_[7];
+ vX_[896] = vX_[202] * vX_[32] + vX_[757] * vX_[6];
+ vX_[798] = 0 - (vX_[896] + vX_[899] * vX_[47]);
+ vX_[329] = vX_[900] * vX_[6] + vX_[818] * vX_[32];
+ vX_[84] = vX_[329] * vX_[7] + vX_[951] * vX_[32];
+ vX_[326] = vX_[84] + vX_[158] * vX_[47];
+ vX_[275] = vX_[329] * vX_[32] + vX_[951] * vX_[6];
+ vX_[351] = vX_[202] * vX_[7] + vX_[757] * vX_[32];
+ vX_[335] = 0 - vX_[275] + vX_[351] + vX_[909] * vX_[47];
+ vX_[334] = 0 - vX_[0];
+ vX_[330] = 0 - vX_[907];
+ vX_[899] = vX_[909] * vX_[58] + vX_[899] * vX_[64] + vX_[158] * vX_[48] + vX_[897] * vX_[88] + vX_[758] * vX_[90] +
+ vX_[798] * vX_[35] + vX_[326] * vX_[33] + vX_[335] * vX_[31] + vX_[0] * vX_[57] + vX_[334] * vX_[62] +
+ vX_[330] * vX_[79] + vX_[158] * vX_[70];
+ vX_[909] = vX_[194] - vX_[648];
+ vX_[90] = vX_[909] * vX_[32] + vX_[328] * vX_[6];
+ vX_[79] = vX_[909] * vX_[7] + vX_[328] * vX_[32];
+ vX_[216] = 0 - vX_[216];
+ vX_[70] = vX_[79] + vX_[198];
+ jac[59] =
+ 0 -
+ (vX_[861] * vX_[682] + vX_[762] * vX_[639] + vX_[894] * vX_[301] + vX_[906] * vX_[302] + vX_[784] * vX_[43] +
+ vX_[328] * vX_[40] + vX_[355] * vX_[88] + vX_[198] * vX_[39] + vX_[182] * vX_[31] + vX_[900] * vX_[60] +
+ vX_[262] * vX_[89] + vX_[902] * vX_[99] + vX_[951] * vX_[59] + vX_[757] * vX_[66] + vX_[321] * vX_[92] +
+ vX_[149] * vX_[77] + vX_[165] * vX_[81] + vX_[864] * vX_[80] + vX_[866] * vX_[76] + vX_[935] * vX_[270] +
+ vX_[974] * vX_[263] +
+ (vX_[861] * vX_[713] + vX_[895] * vX_[301] + vX_[899] * vX_[7] + vX_[935] * vX_[268]) * 0.112 -
+ (vX_[756] * vX_[159] + vX_[893] * vX_[318] + vX_[947] * vX_[267]) +
+ (vX_[756] * vX_[639] + vX_[906] * vX_[318] + vX_[947] * vX_[263]) * 0.112 -
+ (vX_[760] * vX_[713] + vX_[895] * vX_[319] + vX_[909] * vX_[44] + vX_[903] * vX_[105] + vX_[90] * vX_[31] +
+ vX_[79] * vX_[42] + vX_[348] * vX_[100] + vX_[148] * vX_[92] + vX_[818] * vX_[67] + vX_[329] * vX_[52] +
+ vX_[202] * vX_[63] + vX_[325] * vX_[94] + vX_[191] * vX_[78] + vX_[901] * vX_[76] + vX_[871] * vX_[72] +
+ vX_[899] * vX_[46] + vX_[972] * vX_[268])) *
+ vX_[340] +
+ (vX_[861] * vX_[159] + vX_[756] * vX_[682] + vX_[762] * vX_[713] + vX_[760] * vX_[639] + vX_[893] * vX_[301] +
+ vX_[894] * vX_[318] + vX_[895] * vX_[302] + vX_[906] * vX_[319] + vX_[909] * vX_[40] + vX_[784] * vX_[133] +
+ vX_[328] * vX_[44] + vX_[903] * vX_[88] + vX_[216] * vX_[105] + vX_[90] * vX_[39] + vX_[70] * vX_[31] +
+ vX_[182] * vX_[42] + vX_[900] * vX_[67] + vX_[348] * vX_[99] + vX_[148] * vX_[89] + vX_[818] * vX_[60] +
+ vX_[902] * vX_[100] + vX_[329] * vX_[59] + vX_[202] * vX_[66] + vX_[951] * vX_[52] + vX_[757] * vX_[63] +
+ vX_[865] * vX_[92] + vX_[321] * vX_[94] + vX_[191] * vX_[81] + vX_[149] * vX_[129] + vX_[165] * vX_[78] +
+ vX_[901] * vX_[80] + vX_[414] * vX_[76] + vX_[866] * vX_[72] + vX_[899] * vX_[45] + vX_[935] * vX_[267] +
+ vX_[947] * vX_[270] + vX_[974] * vX_[268] + vX_[972] * vX_[263] +
+ (vX_[861] * vX_[639] + vX_[906] * vX_[301] + vX_[899] * vX_[32] + vX_[935] * vX_[263]) * -0.112 +
+ (vX_[756] * vX_[713] + vX_[895] * vX_[318] + vX_[947] * vX_[268]) * 0.112) *
+ vX_[211];
+ vX_[870] = vX_[854] * vX_[32] + vX_[243] * vX_[6] + vX_[870] * vX_[47] + vX_[370] * vX_[317];
+ vX_[868] = vX_[868] + vX_[370] * vX_[313];
+ vX_[243] = 0 - vX_[870];
+ vX_[882] = 0 - (vX_[157] * vX_[7] + vX_[882] * vX_[32] + vX_[244] * vX_[6] + vX_[360] * vX_[47] +
+ vX_[399] * vX_[317] + vX_[392] * vX_[316]);
+ vX_[904] = vX_[934] + vX_[904] * vX_[7] + vX_[244] * vX_[32];
+ vX_[87] = vX_[904] + vX_[87] * vX_[47] + vX_[392] * vX_[317];
+ vX_[244] = 0 - vX_[87];
+ vX_[199] = vX_[378] + vX_[199] * vX_[47] * 2. + vX_[392] * vX_[313] + vX_[393] * vX_[317];
+ vX_[378] = 0 - vX_[199];
+ vX_[164] = vX_[215] + vX_[164] * vX_[47] + vX_[392] * vX_[314] + vX_[404] * vX_[317];
+ vX_[215] = 0 - vX_[164];
+ vX_[360] = (vX_[244] * vX_[12] + vX_[378] * vX_[56] + vX_[215] * vX_[50]) * 1 / vX_[29];
+ vX_[244] = vX_[401] * vX_[308] + vX_[243] * vX_[37] + vX_[882] * vX_[30] + vX_[244] * vX_[41] + vX_[360];
+ vX_[157] = vX_[934] + vX_[157] * vX_[32] + vX_[447] * vX_[6];
+ vX_[904] = vX_[280] + vX_[382] + vX_[934] - vX_[157] - vX_[904];
+ vX_[280] = 0 - vX_[904];
+ vX_[271] = 0 - (0 - (vX_[854] * vX_[7] + vX_[271] * vX_[32]) + vX_[767] * vX_[47] + vX_[370] * vX_[316]);
+ vX_[854] = 0 - vX_[868];
+ vX_[767] = vX_[767] + vX_[370] * vX_[314];
+ vX_[934] = 0 - vX_[767];
+ vX_[243] =
+ (vX_[280] * vX_[36] + vX_[271] * vX_[19] + vX_[243] * vX_[12] + vX_[854] * vX_[56] + vX_[934] * vX_[50]) * 1 /
+ vX_[29];
+ vX_[280] = vX_[398] * vX_[308] + vX_[280] * vX_[37] + vX_[243];
+ vX_[382] = vX_[244] * vX_[8] + vX_[280] * vX_[10];
+ vX_[447] = vX_[767] * vX_[10] + vX_[164] * vX_[8];
+ vX_[428] = vX_[428] + vX_[384] * vX_[47] * 2. + vX_[399] * vX_[314] + vX_[404] * vX_[316];
+ vX_[909] = vX_[199] - vX_[428];
+ vX_[157] = 0 - (vX_[157] + vX_[390] * vX_[47] + vX_[399] * vX_[316]);
+ vX_[456] = 0 - (vX_[456] + vX_[389] * vX_[47] + vX_[399] * vX_[313] + vX_[393] * vX_[316]);
+ vX_[428] = 0 - vX_[428];
+ vX_[882] = (vX_[157] * vX_[19] + vX_[882] * vX_[12] + vX_[456] * vX_[56] + vX_[428] * vX_[50]) * 1 / vX_[29];
+ vX_[157] = vX_[400] * vX_[308] + vX_[271] * vX_[37] + vX_[157] * vX_[30] - vX_[868] + vX_[882];
+ vX_[384] = vX_[384] + vX_[404] * vX_[314];
+ vX_[380] = vX_[380] + vX_[393] * vX_[313];
+ vX_[271] = 0 - vX_[380];
+ vX_[389] = vX_[389] + vX_[393] * vX_[314] + vX_[404] * vX_[313];
+ vX_[399] = 0 - vX_[389];
+ vX_[390] = (vX_[271] * vX_[56] + vX_[399] * vX_[50]) * 1 / vX_[29];
+ vX_[899] = 0 - vX_[384];
+ vX_[329] = vX_[899] * vX_[50] * 1 / vX_[29];
+ vX_[882] = 0 - vX_[398] * vX_[323] - vX_[400] * vX_[282] - vX_[401] * vX_[320] - vX_[402] * vX_[333] +
+ vX_[402] * vX_[308] - vX_[403] * vX_[306] - vX_[405] * vX_[299] - vX_[243] * vX_[37] -
+ vX_[882] * vX_[30] - vX_[360] * vX_[41] - vX_[390] * vX_[74] - vX_[329] * vX_[71];
+ vX_[243] = 0 - vX_[384] + vX_[882];
+ vX_[329] = vX_[405] * vX_[308] + vX_[934] * vX_[37] + vX_[428] * vX_[30] + vX_[215] * vX_[41] + vX_[399] * vX_[74] +
+ vX_[899] * vX_[71] + vX_[329];
+ vX_[390] = vX_[403] * vX_[308] + vX_[854] * vX_[37] + vX_[456] * vX_[30] + vX_[378] * vX_[41] + vX_[271] * vX_[74] +
+ vX_[390];
+ vX_[271] = vX_[243] * vX_[10] + vX_[329] * vX_[8];
+ vX_[456] = vX_[243] * vX_[8] + vX_[329] * vX_[9];
+ vX_[854] = vX_[271] * vX_[8] + vX_[456] * vX_[10];
+ vX_[378] = vX_[384] + vX_[271] * vX_[10];
+ vX_[403] = vX_[384] + vX_[456] * vX_[8];
+ vX_[882] = vX_[380] + vX_[384] + vX_[882] - vX_[378] - vX_[403];
+ vX_[380] = 0 - vX_[882];
+ vX_[384] = vX_[868] * vX_[10] + vX_[199] * vX_[8];
+ vX_[384] = vX_[854] * vX_[18] + vX_[380] * vX_[21] + vX_[378] * vX_[14] +
+ (0 - (vX_[384] + vX_[380] * vX_[13])) * 1.38614328745655 +
+ (0 - (vX_[909] * vX_[8] + vX_[157] * vX_[9]) + vX_[384] + vX_[378] * vX_[13]) * 1.547475 +
+ (0 - (0 - (vX_[389] * vX_[8] + vX_[390] * vX_[9]) + vX_[389] * vX_[8] * 2.)) * 0.00345708950900075 +
+ (0 - (vX_[389] * vX_[10] + vX_[390] * vX_[8] + vX_[389] * vX_[9] * 2.)) * -6.25528861700981e-05 +
+ vX_[378] * -0.07737375;
+ vX_[380] = vX_[393] * vX_[296] + vX_[422] * vX_[276];
+ vX_[403] = 0 - vX_[403];
+ vX_[378] = vX_[868] * vX_[8] + vX_[199] * vX_[9];
+ vX_[378] =
+ vX_[393] * vX_[311] + vX_[882] * vX_[20] + vX_[403] * vX_[18] + (vX_[378] + vX_[882] * vX_[17]) * 1.547475 +
+ (0 - (vX_[909] * vX_[10] + vX_[157] * vX_[8] + vX_[378] + vX_[854] * vX_[13] + vX_[403] * vX_[17])) * 1.547475 +
+ (0 - vX_[854]) * -0.038686875 + vX_[424] * vX_[276];
+ vX_[403] = sin(x_in[5]);
+ vX_[904] = vX_[904] - vX_[87];
+ vX_[87] = cos(x_in[5]);
+ jac[66] =
+ 0 -
+ (vX_[370] * vX_[311] + vX_[392] * vX_[296] + vX_[406] * vX_[310] + vX_[404] * vX_[300] + vX_[870] * vX_[34] +
+ vX_[868] * vX_[65] + vX_[244] * vX_[11] + vX_[199] * vX_[15] + vX_[164] * vX_[61] +
+ vX_[382] * -6.25528861700981e-05 + vX_[447] * 0.00345708950900075 + vX_[909] * vX_[16] +
+ vX_[157] * vX_[18] + vX_[243] * vX_[25] + vX_[329] * vX_[27] + vX_[389] * vX_[54] + vX_[389] * vX_[55] +
+ vX_[390] * vX_[53] + vX_[271] * vX_[24] + vX_[456] * vX_[23] + vX_[384] * -0.184 + vX_[422] * vX_[292] +
+ vX_[424] * vX_[277] + vX_[452] * vX_[283] + vX_[419] * vX_[278] + vX_[380] * 0.184 +
+ (0 - vX_[378]) * 0.02075) *
+ vX_[403] +
+ (vX_[392] * vX_[311] + vX_[404] * vX_[310] + vX_[199] * vX_[65] + vX_[447] * -6.25528861700981e-05 +
+ vX_[157] * vX_[16] + vX_[329] * vX_[25] + vX_[389] * vX_[73] + vX_[390] * vX_[55] + vX_[424] * vX_[292] +
+ vX_[419] * vX_[283] - (vX_[370] * vX_[296] + vX_[422] * vX_[277]) + vX_[380] * 0.02075 + vX_[378] * 0.184 -
+ (vX_[406] * vX_[300] + vX_[904] * vX_[34] + (vX_[904] * vX_[10] + vX_[870] * vX_[8]) * -0.161331712543454 +
+ vX_[868] * vX_[15] + vX_[767] * vX_[61] + vX_[280] * vX_[11] + vX_[382] * 0.00345708950900075 +
+ vX_[909] * vX_[18] + vX_[243] * vX_[27] + vX_[389] * vX_[53] + vX_[271] * vX_[26] + vX_[456] * vX_[24] +
+ vX_[384] * 0.02075 + vX_[452] * vX_[278])) *
+ vX_[87];
+ vX_[442] = vX_[949] * vX_[32] + vX_[867] * vX_[6] + vX_[442] * vX_[47] + vX_[395] * vX_[317];
+ vX_[829] = vX_[829] + vX_[395] * vX_[313];
+ vX_[867] = 0 - vX_[442];
+ vX_[391] = 0 - (vX_[884] * vX_[7] + vX_[391] * vX_[32] + vX_[368] * vX_[6] + vX_[246] * vX_[47] +
+ vX_[486] * vX_[317] + vX_[479] * vX_[316]);
+ vX_[816] = vX_[444] + vX_[816] * vX_[7] + vX_[368] * vX_[32];
+ vX_[363] = vX_[816] + vX_[363] * vX_[47] + vX_[479] * vX_[317];
+ vX_[368] = 0 - vX_[363];
+ vX_[254] = vX_[465] + vX_[254] * vX_[47] * 2. + vX_[479] * vX_[313] + vX_[480] * vX_[317];
+ vX_[465] = 0 - vX_[254];
+ vX_[273] = vX_[379] + vX_[273] * vX_[47] + vX_[479] * vX_[314] + vX_[491] * vX_[317];
+ vX_[379] = 0 - vX_[273];
+ vX_[246] = (vX_[368] * vX_[12] + vX_[465] * vX_[56] + vX_[379] * vX_[50]) * 1 / vX_[29];
+ vX_[368] = vX_[488] * vX_[308] + vX_[867] * vX_[37] + vX_[391] * vX_[30] + vX_[368] * vX_[41] + vX_[246];
+ vX_[884] = vX_[444] + vX_[884] * vX_[32] + vX_[534] * vX_[6];
+ vX_[816] = vX_[257] + vX_[469] + vX_[444] - vX_[884] - vX_[816];
+ vX_[257] = 0 - vX_[816];
+ vX_[430] = 0 - (0 - (vX_[949] * vX_[7] + vX_[430] * vX_[32]) + vX_[260] * vX_[47] + vX_[395] * vX_[316]);
+ vX_[949] = 0 - vX_[829];
+ vX_[260] = vX_[260] + vX_[395] * vX_[314];
+ vX_[444] = 0 - vX_[260];
+ vX_[867] =
+ (vX_[257] * vX_[36] + vX_[430] * vX_[19] + vX_[867] * vX_[12] + vX_[949] * vX_[56] + vX_[444] * vX_[50]) * 1 /
+ vX_[29];
+ vX_[257] = vX_[485] * vX_[308] + vX_[257] * vX_[37] + vX_[867];
+ vX_[469] = vX_[368] * vX_[8] + vX_[257] * vX_[10];
+ vX_[534] = vX_[260] * vX_[10] + vX_[273] * vX_[8];
+ vX_[515] = vX_[515] + vX_[471] * vX_[47] * 2. + vX_[486] * vX_[314] + vX_[491] * vX_[316];
+ vX_[904] = vX_[254] - vX_[515];
+ vX_[884] = 0 - (vX_[884] + vX_[477] * vX_[47] + vX_[486] * vX_[316]);
+ vX_[543] = 0 - (vX_[543] + vX_[476] * vX_[47] + vX_[486] * vX_[313] + vX_[480] * vX_[316]);
+ vX_[515] = 0 - vX_[515];
+ vX_[391] = (vX_[884] * vX_[19] + vX_[391] * vX_[12] + vX_[543] * vX_[56] + vX_[515] * vX_[50]) * 1 / vX_[29];
+ vX_[884] = vX_[487] * vX_[308] + vX_[430] * vX_[37] + vX_[884] * vX_[30] - vX_[829] + vX_[391];
+ vX_[471] = vX_[471] + vX_[491] * vX_[314];
+ vX_[467] = vX_[467] + vX_[480] * vX_[313];
+ vX_[430] = 0 - vX_[467];
+ vX_[476] = vX_[476] + vX_[480] * vX_[314] + vX_[491] * vX_[313];
+ vX_[486] = 0 - vX_[476];
+ vX_[477] = (vX_[430] * vX_[56] + vX_[486] * vX_[50]) * 1 / vX_[29];
+ vX_[378] = 0 - vX_[471];
+ vX_[380] = vX_[378] * vX_[50] * 1 / vX_[29];
+ vX_[391] = 0 - vX_[485] * vX_[323] - vX_[487] * vX_[282] - vX_[488] * vX_[320] - vX_[489] * vX_[333] +
+ vX_[489] * vX_[308] - vX_[490] * vX_[306] - vX_[492] * vX_[299] - vX_[867] * vX_[37] -
+ vX_[391] * vX_[30] - vX_[246] * vX_[41] - vX_[477] * vX_[74] - vX_[380] * vX_[71];
+ vX_[867] = 0 - vX_[471] + vX_[391];
+ vX_[380] = vX_[492] * vX_[308] + vX_[444] * vX_[37] + vX_[515] * vX_[30] + vX_[379] * vX_[41] + vX_[486] * vX_[74] +
+ vX_[378] * vX_[71] + vX_[380];
+ vX_[477] = vX_[490] * vX_[308] + vX_[949] * vX_[37] + vX_[543] * vX_[30] + vX_[465] * vX_[41] + vX_[430] * vX_[74] +
+ vX_[477];
+ vX_[430] = vX_[867] * vX_[10] + vX_[380] * vX_[8];
+ vX_[543] = vX_[867] * vX_[8] + vX_[380] * vX_[9];
+ vX_[949] = vX_[430] * vX_[8] + vX_[543] * vX_[10];
+ vX_[465] = vX_[471] + vX_[430] * vX_[10];
+ vX_[490] = vX_[471] + vX_[543] * vX_[8];
+ vX_[391] = vX_[467] + vX_[471] + vX_[391] - vX_[465] - vX_[490];
+ vX_[467] = 0 - vX_[391];
+ vX_[471] = vX_[829] * vX_[10] + vX_[254] * vX_[8];
+ vX_[471] = vX_[949] * vX_[18] + vX_[467] * vX_[21] + vX_[465] * vX_[14] +
+ (0 - (vX_[471] + vX_[467] * vX_[13])) * 1.38614328745655 +
+ (0 - (vX_[904] * vX_[8] + vX_[884] * vX_[9]) + vX_[471] + vX_[465] * vX_[13]) * 1.547475 +
+ (0 - (0 - (vX_[476] * vX_[8] + vX_[477] * vX_[9]) + vX_[476] * vX_[8] * 2.)) * 0.00345708950900075 +
+ (0 - (vX_[476] * vX_[10] + vX_[477] * vX_[8] + vX_[476] * vX_[9] * 2.)) * -6.25528861700981e-05 +
+ vX_[465] * -0.07737375;
+ vX_[467] = vX_[480] * vX_[296] + vX_[509] * vX_[276];
+ vX_[490] = 0 - vX_[490];
+ vX_[465] = vX_[829] * vX_[8] + vX_[254] * vX_[9];
+ vX_[465] =
+ vX_[480] * vX_[311] + vX_[391] * vX_[20] + vX_[490] * vX_[18] + (vX_[465] + vX_[391] * vX_[17]) * 1.547475 +
+ (0 - (vX_[904] * vX_[10] + vX_[884] * vX_[8] + vX_[465] + vX_[949] * vX_[13] + vX_[490] * vX_[17])) * 1.547475 +
+ (0 - vX_[949]) * -0.038686875 + vX_[511] * vX_[276];
+ vX_[816] = vX_[816] - vX_[363];
+ jac[67] =
+ 0 -
+ (vX_[395] * vX_[311] + vX_[479] * vX_[296] + vX_[493] * vX_[310] + vX_[491] * vX_[300] + vX_[442] * vX_[34] +
+ vX_[829] * vX_[65] + vX_[368] * vX_[11] + vX_[254] * vX_[15] + vX_[273] * vX_[61] +
+ vX_[469] * -6.25528861700981e-05 + vX_[534] * 0.00345708950900075 + vX_[904] * vX_[16] +
+ vX_[884] * vX_[18] + vX_[867] * vX_[25] + vX_[380] * vX_[27] + vX_[476] * vX_[54] + vX_[476] * vX_[55] +
+ vX_[477] * vX_[53] + vX_[430] * vX_[24] + vX_[543] * vX_[23] + vX_[471] * -0.184 + vX_[509] * vX_[292] +
+ vX_[511] * vX_[277] + vX_[539] * vX_[283] + vX_[506] * vX_[278] + vX_[467] * 0.184 +
+ (0 - vX_[465]) * 0.02075) *
+ vX_[403] +
+ (vX_[479] * vX_[311] + vX_[491] * vX_[310] + vX_[254] * vX_[65] + vX_[534] * -6.25528861700981e-05 +
+ vX_[884] * vX_[16] + vX_[380] * vX_[25] + vX_[476] * vX_[73] + vX_[477] * vX_[55] + vX_[511] * vX_[292] +
+ vX_[506] * vX_[283] - (vX_[395] * vX_[296] + vX_[509] * vX_[277]) + vX_[467] * 0.02075 + vX_[465] * 0.184 -
+ (vX_[493] * vX_[300] + vX_[816] * vX_[34] + (vX_[816] * vX_[10] + vX_[442] * vX_[8]) * -0.161331712543454 +
+ vX_[829] * vX_[15] + vX_[260] * vX_[61] + vX_[257] * vX_[11] + vX_[469] * 0.00345708950900075 +
+ vX_[904] * vX_[18] + vX_[867] * vX_[27] + vX_[476] * vX_[53] + vX_[430] * vX_[26] + vX_[543] * vX_[24] +
+ vX_[471] * 0.02075 + vX_[539] * vX_[278])) *
+ vX_[87];
+ vX_[482] = vX_[512] * vX_[32] + vX_[279] * vX_[6] + vX_[482] * vX_[47] + vX_[551] * vX_[317];
+ vX_[563] = vX_[563] + vX_[551] * vX_[313];
+ vX_[279] = 0 - vX_[482];
+ vX_[478] = 0 - (vX_[396] * vX_[7] + vX_[478] * vX_[32] + vX_[460] * vX_[6] + vX_[371] * vX_[47] +
+ vX_[580] * vX_[317] + vX_[573] * vX_[316]);
+ vX_[394] = vX_[454] + vX_[394] * vX_[7] + vX_[460] * vX_[32];
+ vX_[872] = vX_[394] + vX_[872] * vX_[47] + vX_[573] * vX_[317];
+ vX_[460] = 0 - vX_[872];
+ vX_[412] = vX_[559] + vX_[412] * vX_[47] * 2. + vX_[573] * vX_[313] + vX_[574] * vX_[317];
+ vX_[559] = 0 - vX_[412];
+ vX_[943] = vX_[466] + vX_[943] * vX_[47] + vX_[573] * vX_[314] + vX_[585] * vX_[317];
+ vX_[466] = 0 - vX_[943];
+ vX_[371] = (vX_[460] * vX_[12] + vX_[559] * vX_[56] + vX_[466] * vX_[50]) * 1 / vX_[29];
+ vX_[460] = vX_[582] * vX_[308] + vX_[279] * vX_[37] + vX_[478] * vX_[30] + vX_[460] * vX_[41] + vX_[371];
+ vX_[396] = vX_[454] + vX_[396] * vX_[32] + vX_[628] * vX_[6];
+ vX_[394] = vX_[876] + vX_[565] + vX_[454] - vX_[396] - vX_[394];
+ vX_[876] = 0 - vX_[394];
+ vX_[510] = 0 - (0 - (vX_[512] * vX_[7] + vX_[510] * vX_[32]) + vX_[564] * vX_[47] + vX_[551] * vX_[316]);
+ vX_[512] = 0 - vX_[563];
+ vX_[564] = vX_[564] + vX_[551] * vX_[314];
+ vX_[454] = 0 - vX_[564];
+ vX_[279] =
+ (vX_[876] * vX_[36] + vX_[510] * vX_[19] + vX_[279] * vX_[12] + vX_[512] * vX_[56] + vX_[454] * vX_[50]) * 1 /
+ vX_[29];
+ vX_[876] = vX_[579] * vX_[308] + vX_[876] * vX_[37] + vX_[279];
+ vX_[565] = vX_[460] * vX_[8] + vX_[876] * vX_[10];
+ vX_[628] = vX_[564] * vX_[10] + vX_[943] * vX_[8];
+ vX_[609] = vX_[609] + vX_[566] * vX_[47] * 2. + vX_[580] * vX_[314] + vX_[585] * vX_[316];
+ vX_[816] = vX_[412] - vX_[609];
+ vX_[396] = 0 - (vX_[396] + vX_[571] * vX_[47] + vX_[580] * vX_[316]);
+ vX_[637] = 0 - (vX_[637] + vX_[570] * vX_[47] + vX_[580] * vX_[313] + vX_[574] * vX_[316]);
+ vX_[609] = 0 - vX_[609];
+ vX_[478] = (vX_[396] * vX_[19] + vX_[478] * vX_[12] + vX_[637] * vX_[56] + vX_[609] * vX_[50]) * 1 / vX_[29];
+ vX_[396] = vX_[581] * vX_[308] + vX_[510] * vX_[37] + vX_[396] * vX_[30] - vX_[563] + vX_[478];
+ vX_[566] = vX_[566] + vX_[585] * vX_[314];
+ vX_[561] = vX_[561] + vX_[574] * vX_[313];
+ vX_[510] = 0 - vX_[561];
+ vX_[570] = vX_[570] + vX_[574] * vX_[314] + vX_[585] * vX_[313];
+ vX_[580] = 0 - vX_[570];
+ vX_[571] = (vX_[510] * vX_[56] + vX_[580] * vX_[50]) * 1 / vX_[29];
+ vX_[465] = 0 - vX_[566];
+ vX_[467] = vX_[465] * vX_[50] * 1 / vX_[29];
+ vX_[478] = 0 - vX_[579] * vX_[323] - vX_[581] * vX_[282] - vX_[582] * vX_[320] - vX_[583] * vX_[333] +
+ vX_[583] * vX_[308] - vX_[584] * vX_[306] - vX_[586] * vX_[299] - vX_[279] * vX_[37] -
+ vX_[478] * vX_[30] - vX_[371] * vX_[41] - vX_[571] * vX_[74] - vX_[467] * vX_[71];
+ vX_[279] = 0 - vX_[566] + vX_[478];
+ vX_[467] = vX_[586] * vX_[308] + vX_[454] * vX_[37] + vX_[609] * vX_[30] + vX_[466] * vX_[41] + vX_[580] * vX_[74] +
+ vX_[465] * vX_[71] + vX_[467];
+ vX_[571] = vX_[584] * vX_[308] + vX_[512] * vX_[37] + vX_[637] * vX_[30] + vX_[559] * vX_[41] + vX_[510] * vX_[74] +
+ vX_[571];
+ vX_[510] = vX_[279] * vX_[10] + vX_[467] * vX_[8];
+ vX_[637] = vX_[279] * vX_[8] + vX_[467] * vX_[9];
+ vX_[512] = vX_[510] * vX_[8] + vX_[637] * vX_[10];
+ vX_[559] = vX_[566] + vX_[510] * vX_[10];
+ vX_[584] = vX_[566] + vX_[637] * vX_[8];
+ vX_[478] = vX_[561] + vX_[566] + vX_[478] - vX_[559] - vX_[584];
+ vX_[561] = 0 - vX_[478];
+ vX_[566] = vX_[563] * vX_[10] + vX_[412] * vX_[8];
+ vX_[566] = vX_[512] * vX_[18] + vX_[561] * vX_[21] + vX_[559] * vX_[14] +
+ (0 - (vX_[566] + vX_[561] * vX_[13])) * 1.38614328745655 +
+ (0 - (vX_[816] * vX_[8] + vX_[396] * vX_[9]) + vX_[566] + vX_[559] * vX_[13]) * 1.547475 +
+ (0 - (0 - (vX_[570] * vX_[8] + vX_[571] * vX_[9]) + vX_[570] * vX_[8] * 2.)) * 0.00345708950900075 +
+ (0 - (vX_[570] * vX_[10] + vX_[571] * vX_[8] + vX_[570] * vX_[9] * 2.)) * -6.25528861700981e-05 +
+ vX_[559] * -0.07737375;
+ vX_[561] = vX_[574] * vX_[296] + vX_[603] * vX_[276];
+ vX_[584] = 0 - vX_[584];
+ vX_[559] = vX_[563] * vX_[8] + vX_[412] * vX_[9];
+ vX_[559] =
+ vX_[574] * vX_[311] + vX_[478] * vX_[20] + vX_[584] * vX_[18] + (vX_[559] + vX_[478] * vX_[17]) * 1.547475 +
+ (0 - (vX_[816] * vX_[10] + vX_[396] * vX_[8] + vX_[559] + vX_[512] * vX_[13] + vX_[584] * vX_[17])) * 1.547475 +
+ (0 - vX_[512]) * -0.038686875 + vX_[605] * vX_[276];
+ vX_[394] = vX_[394] - vX_[872];
+ jac[68] =
+ 0 -
+ (vX_[551] * vX_[311] + vX_[573] * vX_[296] + vX_[587] * vX_[310] + vX_[585] * vX_[300] + vX_[482] * vX_[34] +
+ vX_[563] * vX_[65] + vX_[460] * vX_[11] + vX_[412] * vX_[15] + vX_[943] * vX_[61] +
+ vX_[565] * -6.25528861700981e-05 + vX_[628] * 0.00345708950900075 + vX_[816] * vX_[16] +
+ vX_[396] * vX_[18] + vX_[279] * vX_[25] + vX_[467] * vX_[27] + vX_[570] * vX_[54] + vX_[570] * vX_[55] +
+ vX_[571] * vX_[53] + vX_[510] * vX_[24] + vX_[637] * vX_[23] + vX_[566] * -0.184 + vX_[603] * vX_[292] +
+ vX_[605] * vX_[277] + vX_[633] * vX_[283] + vX_[600] * vX_[278] + vX_[561] * 0.184 +
+ (0 - vX_[559]) * 0.02075) *
+ vX_[403] +
+ (vX_[573] * vX_[311] + vX_[585] * vX_[310] + vX_[412] * vX_[65] + vX_[628] * -6.25528861700981e-05 +
+ vX_[396] * vX_[16] + vX_[467] * vX_[25] + vX_[570] * vX_[73] + vX_[571] * vX_[55] + vX_[605] * vX_[292] +
+ vX_[600] * vX_[283] - (vX_[551] * vX_[296] + vX_[603] * vX_[277]) + vX_[561] * 0.02075 + vX_[559] * 0.184 -
+ (vX_[587] * vX_[300] + vX_[394] * vX_[34] + (vX_[394] * vX_[10] + vX_[482] * vX_[8]) * -0.161331712543454 +
+ vX_[563] * vX_[15] + vX_[564] * vX_[61] + vX_[876] * vX_[11] + vX_[565] * 0.00345708950900075 +
+ vX_[816] * vX_[18] + vX_[279] * vX_[27] + vX_[570] * vX_[53] + vX_[510] * vX_[26] + vX_[637] * vX_[24] +
+ vX_[566] * 0.02075 + vX_[633] * vX_[278])) *
+ vX_[87];
+ vX_[606] = vX_[540] * vX_[32] + vX_[525] * vX_[6] + vX_[606] * vX_[47] + vX_[656] * vX_[317];
+ vX_[616] = vX_[616] + vX_[656] * vX_[313];
+ vX_[525] = 0 - vX_[606];
+ vX_[742] = 0 - (vX_[722] * vX_[7] + vX_[742] * vX_[32] + vX_[554] * vX_[6] + vX_[502] * vX_[47] +
+ vX_[685] * vX_[317] + vX_[678] * vX_[316]);
+ vX_[611] = vX_[576] + vX_[611] * vX_[7] + vX_[554] * vX_[32];
+ vX_[514] = vX_[611] + vX_[514] * vX_[47] + vX_[678] * vX_[317];
+ vX_[554] = 0 - vX_[514];
+ vX_[668] = vX_[664] + vX_[668] * vX_[47] * 2. + vX_[678] * vX_[313] + vX_[679] * vX_[317];
+ vX_[664] = 0 - vX_[668];
+ vX_[676] = vX_[714] + vX_[676] * vX_[47] + vX_[678] * vX_[314] + vX_[690] * vX_[317];
+ vX_[714] = 0 - vX_[676];
+ vX_[502] = (vX_[554] * vX_[12] + vX_[664] * vX_[56] + vX_[714] * vX_[50]) * 1 / vX_[29];
+ vX_[554] = vX_[687] * vX_[308] + vX_[525] * vX_[37] + vX_[742] * vX_[30] + vX_[554] * vX_[41] + vX_[502];
+ vX_[722] = vX_[576] + vX_[722] * vX_[32] + vX_[733] * vX_[6];
+ vX_[611] = vX_[242] + vX_[670] + vX_[576] - vX_[722] - vX_[611];
+ vX_[242] = 0 - vX_[611];
+ vX_[604] = 0 - (0 - (vX_[540] * vX_[7] + vX_[604] * vX_[32]) + vX_[269] * vX_[47] + vX_[656] * vX_[316]);
+ vX_[540] = 0 - vX_[616];
+ vX_[269] = vX_[269] + vX_[656] * vX_[314];
+ vX_[576] = 0 - vX_[269];
+ vX_[525] =
+ (vX_[242] * vX_[36] + vX_[604] * vX_[19] + vX_[525] * vX_[12] + vX_[540] * vX_[56] + vX_[576] * vX_[50]) * 1 /
+ vX_[29];
+ vX_[242] = vX_[684] * vX_[308] + vX_[242] * vX_[37] + vX_[525];
+ vX_[670] = vX_[554] * vX_[8] + vX_[242] * vX_[10];
+ vX_[733] = vX_[269] * vX_[10] + vX_[676] * vX_[8];
+ vX_[669] = vX_[669] + vX_[671] * vX_[47] * 2. + vX_[685] * vX_[314] + vX_[690] * vX_[316];
+ vX_[394] = vX_[668] - vX_[669];
+ vX_[722] = 0 - (vX_[722] + vX_[501] * vX_[47] + vX_[685] * vX_[316]);
+ vX_[593] = 0 - (vX_[593] + vX_[675] * vX_[47] + vX_[685] * vX_[313] + vX_[679] * vX_[316]);
+ vX_[669] = 0 - vX_[669];
+ vX_[742] = (vX_[722] * vX_[19] + vX_[742] * vX_[12] + vX_[593] * vX_[56] + vX_[669] * vX_[50]) * 1 / vX_[29];
+ vX_[722] = vX_[686] * vX_[308] + vX_[604] * vX_[37] + vX_[722] * vX_[30] - vX_[616] + vX_[742];
+ vX_[671] = vX_[671] + vX_[690] * vX_[314];
+ vX_[666] = vX_[666] + vX_[679] * vX_[313];
+ vX_[604] = 0 - vX_[666];
+ vX_[675] = vX_[675] + vX_[679] * vX_[314] + vX_[690] * vX_[313];
+ vX_[685] = 0 - vX_[675];
+ vX_[501] = (vX_[604] * vX_[56] + vX_[685] * vX_[50]) * 1 / vX_[29];
+ vX_[559] = 0 - vX_[671];
+ vX_[561] = vX_[559] * vX_[50] * 1 / vX_[29];
+ vX_[742] = 0 - vX_[684] * vX_[323] - vX_[686] * vX_[282] - vX_[687] * vX_[320] - vX_[688] * vX_[333] +
+ vX_[688] * vX_[308] - vX_[689] * vX_[306] - vX_[691] * vX_[299] - vX_[525] * vX_[37] -
+ vX_[742] * vX_[30] - vX_[502] * vX_[41] - vX_[501] * vX_[74] - vX_[561] * vX_[71];
+ vX_[525] = 0 - vX_[671] + vX_[742];
+ vX_[561] = vX_[691] * vX_[308] + vX_[576] * vX_[37] + vX_[669] * vX_[30] + vX_[714] * vX_[41] + vX_[685] * vX_[74] +
+ vX_[559] * vX_[71] + vX_[561];
+ vX_[501] = vX_[689] * vX_[308] + vX_[540] * vX_[37] + vX_[593] * vX_[30] + vX_[664] * vX_[41] + vX_[604] * vX_[74] +
+ vX_[501];
+ vX_[604] = vX_[525] * vX_[10] + vX_[561] * vX_[8];
+ vX_[593] = vX_[525] * vX_[8] + vX_[561] * vX_[9];
+ vX_[540] = vX_[604] * vX_[8] + vX_[593] * vX_[10];
+ vX_[664] = vX_[671] + vX_[604] * vX_[10];
+ vX_[689] = vX_[671] + vX_[593] * vX_[8];
+ vX_[742] = vX_[666] + vX_[671] + vX_[742] - vX_[664] - vX_[689];
+ vX_[666] = 0 - vX_[742];
+ vX_[671] = vX_[616] * vX_[10] + vX_[668] * vX_[8];
+ vX_[671] = vX_[540] * vX_[18] + vX_[666] * vX_[21] + vX_[664] * vX_[14] +
+ (0 - (vX_[671] + vX_[666] * vX_[13])) * 1.38614328745655 +
+ (0 - (vX_[394] * vX_[8] + vX_[722] * vX_[9]) + vX_[671] + vX_[664] * vX_[13]) * 1.547475 +
+ (0 - (0 - (vX_[675] * vX_[8] + vX_[501] * vX_[9]) + vX_[675] * vX_[8] * 2.)) * 0.00345708950900075 +
+ (0 - (vX_[675] * vX_[10] + vX_[501] * vX_[8] + vX_[675] * vX_[9] * 2.)) * -6.25528861700981e-05 +
+ vX_[664] * -0.07737375;
+ vX_[666] = vX_[679] * vX_[296] + vX_[708] * vX_[276];
+ vX_[689] = 0 - vX_[689];
+ vX_[664] = vX_[616] * vX_[8] + vX_[668] * vX_[9];
+ vX_[664] =
+ vX_[679] * vX_[311] + vX_[742] * vX_[20] + vX_[689] * vX_[18] + (vX_[664] + vX_[742] * vX_[17]) * 1.547475 +
+ (0 - (vX_[394] * vX_[10] + vX_[722] * vX_[8] + vX_[664] + vX_[540] * vX_[13] + vX_[689] * vX_[17])) * 1.547475 +
+ (0 - vX_[540]) * -0.038686875 + vX_[710] * vX_[276];
+ vX_[611] = vX_[611] - vX_[514];
+ jac[69] =
+ 0 -
+ (vX_[656] * vX_[311] + vX_[678] * vX_[296] + vX_[692] * vX_[310] + vX_[690] * vX_[300] + vX_[606] * vX_[34] +
+ vX_[616] * vX_[65] + vX_[554] * vX_[11] + vX_[668] * vX_[15] + vX_[676] * vX_[61] +
+ vX_[670] * -6.25528861700981e-05 + vX_[733] * 0.00345708950900075 + vX_[394] * vX_[16] +
+ vX_[722] * vX_[18] + vX_[525] * vX_[25] + vX_[561] * vX_[27] + vX_[675] * vX_[54] + vX_[675] * vX_[55] +
+ vX_[501] * vX_[53] + vX_[604] * vX_[24] + vX_[593] * vX_[23] + vX_[671] * -0.184 + vX_[708] * vX_[292] +
+ vX_[710] * vX_[277] + vX_[738] * vX_[283] + vX_[705] * vX_[278] + vX_[666] * 0.184 +
+ (0 - vX_[664]) * 0.02075) *
+ vX_[403] +
+ (vX_[678] * vX_[311] + vX_[690] * vX_[310] + vX_[668] * vX_[65] + vX_[733] * -6.25528861700981e-05 +
+ vX_[722] * vX_[16] + vX_[561] * vX_[25] + vX_[675] * vX_[73] + vX_[501] * vX_[55] + vX_[710] * vX_[292] +
+ vX_[705] * vX_[283] - (vX_[656] * vX_[296] + vX_[708] * vX_[277]) + vX_[666] * 0.02075 + vX_[664] * 0.184 -
+ (vX_[692] * vX_[300] + vX_[611] * vX_[34] + (vX_[611] * vX_[10] + vX_[606] * vX_[8]) * -0.161331712543454 +
+ vX_[616] * vX_[15] + vX_[269] * vX_[61] + vX_[242] * vX_[11] + vX_[670] * 0.00345708950900075 +
+ vX_[394] * vX_[18] + vX_[525] * vX_[27] + vX_[675] * vX_[53] + vX_[604] * vX_[26] + vX_[593] * vX_[24] +
+ vX_[671] * 0.02075 + vX_[738] * vX_[278])) *
+ vX_[87];
+ vX_[642] = vX_[723] * vX_[32] + vX_[362] * vX_[6] + vX_[642] * vX_[47] + vX_[773] * vX_[317];
+ vX_[749] = vX_[749] + vX_[773] * vX_[313];
+ vX_[291] = vX_[289] * vX_[713] + vX_[290] * vX_[639] + vX_[291] * vX_[159] + vX_[32] * vX_[682] + vX_[317];
+ vX_[290] = 0 - vX_[642];
+ vX_[354] = 0 - (vX_[859] * vX_[7] + vX_[354] * vX_[32] + vX_[659] * vX_[6] + vX_[793] * vX_[47] +
+ vX_[802] * vX_[317] + vX_[795] * vX_[316]);
+ vX_[665] = vX_[755] + vX_[665] * vX_[7] + vX_[659] * vX_[32];
+ vX_[699] = vX_[665] + vX_[699] * vX_[47] + vX_[795] * vX_[317];
+ vX_[659] = 0 - vX_[699];
+ vX_[716] = vX_[781] + vX_[716] * vX_[47] * 2. + vX_[795] * vX_[313] + vX_[796] * vX_[317];
+ vX_[781] = 0 - vX_[716];
+ vX_[621] = vX_[831] + vX_[621] * vX_[47] + vX_[795] * vX_[314] + vX_[807] * vX_[317];
+ vX_[831] = 0 - vX_[621];
+ vX_[793] = (vX_[659] * vX_[12] + vX_[781] * vX_[56] + vX_[831] * vX_[50]) * 1 / vX_[29];
+ vX_[659] = vX_[744] * vX_[291] + vX_[804] * vX_[308] + vX_[290] * vX_[37] + vX_[354] * vX_[30] +
+ vX_[659] * vX_[41] + vX_[793];
+ vX_[859] = vX_[755] + vX_[859] * vX_[32] + vX_[850] * vX_[6];
+ vX_[665] = vX_[526] + vX_[787] + vX_[755] - vX_[859] - vX_[665];
+ vX_[526] = 0 - vX_[665];
+ vX_[709] = 0 - (0 - (vX_[723] * vX_[7] + vX_[709] * vX_[32]) + vX_[766] * vX_[47] + vX_[773] * vX_[316]);
+ vX_[723] = 0 - vX_[749];
+ vX_[766] = vX_[766] + vX_[773] * vX_[314];
+ vX_[755] = 0 - vX_[766];
+ vX_[290] =
+ (vX_[526] * vX_[36] + vX_[709] * vX_[19] + vX_[290] * vX_[12] + vX_[723] * vX_[56] + vX_[755] * vX_[50]) * 1 /
+ vX_[29];
+ vX_[526] = vX_[503] * vX_[152] + vX_[801] * vX_[308] + vX_[526] * vX_[37] + vX_[290];
+ vX_[503] = vX_[659] * vX_[8] + vX_[526] * vX_[10];
+ vX_[787] = vX_[766] * vX_[10] + vX_[621] * vX_[8];
+ vX_[786] = vX_[786] + vX_[788] * vX_[47] * 2. + vX_[802] * vX_[314] + vX_[807] * vX_[316];
+ vX_[850] = vX_[716] - vX_[786];
+ vX_[159] = vX_[46] * vX_[713] + vX_[45] * vX_[639] + vX_[32] * vX_[159] + vX_[6] * vX_[682] + vX_[316];
+ vX_[859] = 0 - (vX_[859] + vX_[595] * vX_[47] + vX_[802] * vX_[316]);
+ vX_[698] = 0 - (vX_[698] + vX_[792] * vX_[47] + vX_[802] * vX_[313] + vX_[796] * vX_[316]);
+ vX_[786] = 0 - vX_[786];
+ vX_[354] = (vX_[859] * vX_[19] + vX_[354] * vX_[12] + vX_[698] * vX_[56] + vX_[786] * vX_[50]) * 1 / vX_[29];
+ vX_[859] =
+ vX_[736] * vX_[159] + vX_[803] * vX_[308] + vX_[709] * vX_[37] + vX_[859] * vX_[30] - vX_[749] + vX_[354];
+ vX_[788] = vX_[788] + vX_[807] * vX_[314];
+ vX_[709] = vX_[32] * vX_[713] + vX_[6] * vX_[639] + vX_[313];
+ vX_[713] = vX_[7] * vX_[713] + vX_[32] * vX_[639] + vX_[314];
+ vX_[639] = (vX_[308] - vX_[29] * vX_[353] - vX_[56] * vX_[709] - vX_[50] * vX_[713] - vX_[36] * vX_[152] -
+ vX_[19] * vX_[159] - vX_[12] * vX_[291]) /
+ vX_[29];
+ vX_[783] = vX_[783] + vX_[796] * vX_[313];
+ vX_[736] = 0 - vX_[783];
+ vX_[792] = vX_[792] + vX_[796] * vX_[314] + vX_[807] * vX_[313];
+ vX_[802] = 0 - vX_[792];
+ vX_[595] = (vX_[736] * vX_[56] + vX_[802] * vX_[50]) * 1 / vX_[29];
+ vX_[682] = 0 - vX_[788];
+ vX_[46] = vX_[682] * vX_[50] * 1 / vX_[29];
+ vX_[354] = 0 - vX_[711] * vX_[639] + vX_[728] * vX_[353] - vX_[801] * vX_[323] - vX_[803] * vX_[282] -
+ vX_[804] * vX_[320] - vX_[805] * vX_[333] + vX_[805] * vX_[308] - vX_[806] * vX_[306] -
+ vX_[808] * vX_[299] - vX_[290] * vX_[37] - vX_[354] * vX_[30] - vX_[793] * vX_[41] - vX_[595] * vX_[74] -
+ vX_[46] * vX_[71];
+ vX_[290] = 0 - vX_[788] + vX_[354];
+ vX_[46] = vX_[645] * vX_[713] + vX_[808] * vX_[308] + vX_[755] * vX_[37] + vX_[786] * vX_[30] + vX_[831] * vX_[41] +
+ vX_[802] * vX_[74] + vX_[682] * vX_[71] + vX_[46];
+ vX_[595] = vX_[594] * vX_[709] + vX_[806] * vX_[308] + vX_[723] * vX_[37] + vX_[698] * vX_[30] +
+ vX_[781] * vX_[41] + vX_[736] * vX_[74] + vX_[595];
+ vX_[736] = vX_[290] * vX_[10] + vX_[46] * vX_[8];
+ vX_[698] = vX_[290] * vX_[8] + vX_[46] * vX_[9];
+ vX_[723] = vX_[736] * vX_[8] + vX_[698] * vX_[10];
+ vX_[781] = vX_[788] + vX_[736] * vX_[10];
+ vX_[806] = vX_[788] + vX_[698] * vX_[8];
+ vX_[354] = vX_[783] + vX_[788] + vX_[354] - vX_[781] - vX_[806];
+ vX_[783] = 0 - vX_[354];
+ vX_[788] = vX_[749] * vX_[10] + vX_[716] * vX_[8];
+ vX_[788] = vX_[723] * vX_[18] + vX_[783] * vX_[21] + vX_[781] * vX_[14] +
+ (0 - (vX_[788] + vX_[783] * vX_[13])) * 1.38614328745655 +
+ (0 - (vX_[850] * vX_[8] + vX_[859] * vX_[9]) + vX_[788] + vX_[781] * vX_[13]) * 1.547475 +
+ (0 - (0 - (vX_[792] * vX_[8] + vX_[595] * vX_[9]) + vX_[792] * vX_[8] * 2.)) * 0.00345708950900075 +
+ (0 - (vX_[792] * vX_[10] + vX_[595] * vX_[8] + vX_[792] * vX_[9] * 2.)) * -6.25528861700981e-05 +
+ vX_[781] * -0.07737375;
+ vX_[783] = vX_[796] * vX_[296] + vX_[825] * vX_[276];
+ vX_[806] = 0 - vX_[806];
+ vX_[781] = vX_[749] * vX_[8] + vX_[716] * vX_[9];
+ vX_[781] =
+ vX_[796] * vX_[311] + vX_[354] * vX_[20] + vX_[806] * vX_[18] + (vX_[781] + vX_[354] * vX_[17]) * 1.547475 +
+ (0 - (vX_[850] * vX_[10] + vX_[859] * vX_[8] + vX_[781] + vX_[723] * vX_[13] + vX_[806] * vX_[17])) * 1.547475 +
+ (0 - vX_[723]) * -0.038686875 + vX_[827] * vX_[276];
+ vX_[665] = vX_[665] - vX_[699];
+ jac[70] =
+ 0 -
+ (vX_[773] * vX_[311] + vX_[795] * vX_[296] + vX_[809] * vX_[310] + vX_[807] * vX_[300] + vX_[642] * vX_[34] +
+ vX_[749] * vX_[65] + vX_[659] * vX_[11] + vX_[716] * vX_[15] + vX_[621] * vX_[61] +
+ vX_[503] * -6.25528861700981e-05 + vX_[787] * 0.00345708950900075 + vX_[850] * vX_[16] +
+ vX_[859] * vX_[18] + vX_[290] * vX_[25] + vX_[46] * vX_[27] + vX_[792] * vX_[54] + vX_[792] * vX_[55] +
+ vX_[595] * vX_[53] + vX_[736] * vX_[24] + vX_[698] * vX_[23] + vX_[788] * -0.184 + vX_[825] * vX_[292] +
+ vX_[827] * vX_[277] + vX_[855] * vX_[283] + vX_[822] * vX_[278] + vX_[783] * 0.184 +
+ (0 - vX_[781]) * 0.02075) *
+ vX_[403] +
+ (vX_[795] * vX_[311] + vX_[807] * vX_[310] + vX_[716] * vX_[65] + vX_[787] * -6.25528861700981e-05 +
+ vX_[859] * vX_[16] + vX_[46] * vX_[25] + vX_[792] * vX_[73] + vX_[595] * vX_[55] + vX_[827] * vX_[292] +
+ vX_[822] * vX_[283] - (vX_[773] * vX_[296] + vX_[825] * vX_[277]) + vX_[783] * 0.02075 + vX_[781] * 0.184 -
+ (vX_[809] * vX_[300] + vX_[665] * vX_[34] + (vX_[665] * vX_[10] + vX_[642] * vX_[8]) * -0.161331712543454 +
+ vX_[749] * vX_[15] + vX_[766] * vX_[61] + vX_[526] * vX_[11] + vX_[503] * 0.00345708950900075 +
+ vX_[850] * vX_[18] + vX_[290] * vX_[27] + vX_[792] * vX_[53] + vX_[736] * vX_[26] + vX_[698] * vX_[24] +
+ vX_[788] * 0.02075 + vX_[855] * vX_[278])) *
+ vX_[87];
+ vX_[665] = vX_[353] + vX_[639];
+ vX_[897] = vX_[903] * vX_[32] + vX_[355] * vX_[6] + vX_[897] * vX_[47] + vX_[888] * vX_[317];
+ vX_[898] = vX_[898] + vX_[888] * vX_[313];
+ vX_[355] = 0 - vX_[897];
+ vX_[70] = 0 - (vX_[90] * vX_[7] + vX_[70] * vX_[32] + vX_[182] * vX_[6] + vX_[335] * vX_[47] + vX_[917] * vX_[317] +
+ vX_[910] * vX_[316]);
+ vX_[79] = vX_[648] + vX_[79] * vX_[7] + vX_[182] * vX_[32];
+ vX_[798] = vX_[79] + vX_[798] * vX_[47] + vX_[910] * vX_[317];
+ vX_[182] = 0 - vX_[798];
+ vX_[330] = vX_[896] + vX_[330] * vX_[47] * 2. + vX_[910] * vX_[313] + vX_[911] * vX_[317];
+ vX_[896] = 0 - vX_[330];
+ vX_[334] = vX_[351] + vX_[334] * vX_[47] + vX_[910] * vX_[314] + vX_[922] * vX_[317];
+ vX_[351] = 0 - vX_[334];
+ vX_[317] = (vX_[182] * vX_[12] + vX_[896] * vX_[56] + vX_[351] * vX_[50]) * 1 / vX_[29];
+ vX_[182] = vX_[857] * vX_[291] + vX_[919] * vX_[308] + vX_[355] * vX_[37] + vX_[70] * vX_[30] + vX_[182] * vX_[41] +
+ vX_[317];
+ vX_[90] = vX_[648] + vX_[90] * vX_[32] + vX_[198] * vX_[6];
+ vX_[79] = vX_[194] + vX_[775] + vX_[648] - vX_[90] - vX_[79];
+ vX_[194] = 0 - vX_[79];
+ vX_[216] = 0 - (0 - (vX_[903] * vX_[7] + vX_[216] * vX_[32]) + vX_[758] * vX_[47] + vX_[888] * vX_[316]);
+ vX_[903] = 0 - vX_[898];
+ vX_[758] = vX_[758] + vX_[888] * vX_[314];
+ vX_[32] = 0 - vX_[758];
+ vX_[355] = (vX_[194] * vX_[36] + vX_[216] * vX_[19] + vX_[355] * vX_[12] + vX_[903] * vX_[56] + vX_[32] * vX_[50]) *
+ 1 / vX_[29];
+ vX_[194] = vX_[754] * vX_[152] + vX_[916] * vX_[308] + vX_[194] * vX_[37] + vX_[355];
+ vX_[754] = vX_[182] * vX_[8] + vX_[194] * vX_[10];
+ vX_[36] = vX_[758] * vX_[10] + vX_[334] * vX_[8];
+ vX_[84] = vX_[84] + vX_[158] * vX_[47] * 2. + vX_[917] * vX_[314] + vX_[922] * vX_[316];
+ vX_[7] = vX_[330] - vX_[84];
+ vX_[90] = 0 - (vX_[90] + vX_[326] * vX_[47] + vX_[917] * vX_[316]);
+ vX_[275] = 0 - (vX_[275] + vX_[0] * vX_[47] + vX_[917] * vX_[313] + vX_[911] * vX_[316]);
+ vX_[84] = 0 - vX_[84];
+ vX_[70] = (vX_[90] * vX_[19] + vX_[70] * vX_[12] + vX_[275] * vX_[56] + vX_[84] * vX_[50]) * 1 / vX_[29];
+ vX_[90] = vX_[814] * vX_[159] + vX_[918] * vX_[308] + vX_[216] * vX_[37] + vX_[90] * vX_[30] - vX_[898] + vX_[70];
+ vX_[158] = vX_[158] + vX_[922] * vX_[314];
+ vX_[907] = vX_[907] + vX_[911] * vX_[313];
+ vX_[216] = 0 - vX_[907];
+ vX_[0] = vX_[0] + vX_[911] * vX_[314] + vX_[922] * vX_[313];
+ vX_[314] = 0 - vX_[0];
+ vX_[56] = (vX_[216] * vX_[56] + vX_[314] * vX_[50]) * 1 / vX_[29];
+ vX_[313] = 0 - vX_[158];
+ vX_[50] = vX_[313] * vX_[50] * 1 / vX_[29];
+ vX_[70] = 0 - vX_[853] * vX_[639] + vX_[856] * vX_[353] - vX_[916] * vX_[323] - vX_[918] * vX_[282] -
+ vX_[919] * vX_[320] - vX_[920] * vX_[333] + vX_[920] * vX_[308] - vX_[921] * vX_[306] -
+ vX_[923] * vX_[299] - vX_[355] * vX_[37] - vX_[70] * vX_[30] - vX_[317] * vX_[41] - vX_[56] * vX_[74] -
+ vX_[50] * vX_[71];
+ vX_[355] = 0 - vX_[158] + vX_[70];
+ vX_[50] = vX_[761] * vX_[713] + vX_[923] * vX_[308] + vX_[32] * vX_[37] + vX_[84] * vX_[30] + vX_[351] * vX_[41] +
+ vX_[314] * vX_[74] + vX_[313] * vX_[71] + vX_[50];
+ vX_[56] = vX_[763] * vX_[709] + vX_[921] * vX_[308] + vX_[903] * vX_[37] + vX_[275] * vX_[30] + vX_[896] * vX_[41] +
+ vX_[216] * vX_[74] + vX_[56];
+ vX_[216] = vX_[355] * vX_[10] + vX_[50] * vX_[8];
+ vX_[275] = vX_[355] * vX_[8] + vX_[50] * vX_[9];
+ vX_[903] = vX_[216] * vX_[8] + vX_[275] * vX_[10];
+ vX_[896] = vX_[158] + vX_[216] * vX_[10];
+ vX_[921] = vX_[158] + vX_[275] * vX_[8];
+ vX_[70] = vX_[907] + vX_[158] + vX_[70] - vX_[896] - vX_[921];
+ vX_[907] = 0 - vX_[70];
+ vX_[158] = vX_[898] * vX_[10] + vX_[330] * vX_[8];
+ vX_[158] = vX_[903] * vX_[18] + vX_[907] * vX_[21] + vX_[896] * vX_[14] +
+ (0 - (vX_[158] + vX_[907] * vX_[13])) * 1.38614328745655 +
+ (0 - (vX_[7] * vX_[8] + vX_[90] * vX_[9]) + vX_[158] + vX_[896] * vX_[13]) * 1.547475 +
+ (0 - (0 - (vX_[0] * vX_[8] + vX_[56] * vX_[9]) + vX_[0] * vX_[8] * 2.)) * 0.00345708950900075 +
+ (0 - (vX_[0] * vX_[10] + vX_[56] * vX_[8] + vX_[0] * vX_[9] * 2.)) * -6.25528861700981e-05 +
+ vX_[896] * -0.07737375;
+ vX_[709] = -4.17019241133987 * vX_[709] + vX_[911] * vX_[296] + vX_[940] * vX_[276];
+ vX_[921] = 0 - vX_[921];
+ vX_[9] = vX_[898] * vX_[8] + vX_[330] * vX_[9];
+ vX_[9] = vX_[911] * vX_[311] + vX_[70] * vX_[20] + vX_[921] * vX_[18] + (vX_[9] + vX_[70] * vX_[17]) * 1.547475 +
+ (0 - (vX_[7] * vX_[10] + vX_[90] * vX_[8] + vX_[9] + vX_[903] * vX_[13] + vX_[921] * vX_[17])) * 1.547475 +
+ (0 - vX_[903]) * -0.038686875 + vX_[942] * vX_[276];
+ vX_[79] = vX_[79] - vX_[798];
+ jac[71] =
+ 0 -
+ (-4.17019241133987 * vX_[291] + 0.089360784736445 * vX_[713] + -0.00161690201573785 * vX_[665] +
+ vX_[888] * vX_[311] + vX_[910] * vX_[296] + vX_[924] * vX_[310] + vX_[922] * vX_[300] + vX_[897] * vX_[34] +
+ vX_[898] * vX_[65] + vX_[182] * vX_[11] + vX_[330] * vX_[15] + vX_[334] * vX_[61] +
+ vX_[754] * -6.25528861700981e-05 + vX_[36] * 0.00345708950900075 + vX_[7] * vX_[16] + vX_[90] * vX_[18] +
+ vX_[355] * vX_[25] + vX_[50] * vX_[27] + vX_[0] * vX_[54] + vX_[0] * vX_[55] + vX_[56] * vX_[53] +
+ vX_[216] * vX_[24] + vX_[275] * vX_[23] + vX_[158] * -0.184 + vX_[940] * vX_[292] + vX_[942] * vX_[277] +
+ vX_[969] * vX_[283] + vX_[937] * vX_[278] + vX_[709] * 0.184 + (0 - vX_[9]) * 0.02075) *
+ vX_[403] +
+ (-0.00161690201573785 * vX_[713] + vX_[910] * vX_[311] + vX_[922] * vX_[310] + vX_[330] * vX_[65] +
+ vX_[36] * -6.25528861700981e-05 + vX_[90] * vX_[16] + vX_[50] * vX_[25] + vX_[0] * vX_[73] +
+ vX_[56] * vX_[55] + vX_[942] * vX_[292] + vX_[937] * vX_[283] -
+ (-4.17019241133987 * vX_[152] + vX_[888] * vX_[296] + vX_[940] * vX_[277]) + vX_[709] * 0.02075 +
+ vX_[9] * 0.184 -
+ (0.089360784736445 * vX_[665] + vX_[924] * vX_[300] + vX_[79] * vX_[34] +
+ (vX_[79] * vX_[10] + vX_[897] * vX_[8]) * -0.161331712543454 + vX_[898] * vX_[15] + vX_[758] * vX_[61] +
+ vX_[194] * vX_[11] + vX_[754] * 0.00345708950900075 + vX_[7] * vX_[18] + vX_[355] * vX_[27] +
+ vX_[0] * vX_[53] + vX_[216] * vX_[26] + vX_[275] * vX_[24] + vX_[158] * 0.02075 +
+ vX_[969] * vX_[278])) *
+ vX_[87];
+ vX_[433] = vX_[433] + vX_[443];
+ jac[90] = vX_[445] * vX_[153] + vX_[448] * vX_[265] + vX_[409] * vX_[151] + vX_[432] * vX_[2] +
+ vX_[365] * vX_[253] + vX_[433] * x_in[7] + vX_[433] * x_in[7] + vX_[410] * vX_[344] + vX_[418] * vX_[250];
+ vX_[520] = vX_[520] + vX_[530];
+ jac[91] = vX_[532] * vX_[153] + vX_[535] * vX_[265] + vX_[496] * vX_[151] + vX_[519] * vX_[2] +
+ vX_[416] * vX_[253] + vX_[520] * x_in[7] + vX_[520] * x_in[7] + vX_[497] * vX_[344] + vX_[505] * vX_[250];
+ vX_[614] = vX_[614] + vX_[624];
+ jac[92] = vX_[626] * vX_[153] + vX_[629] * vX_[265] + vX_[590] * vX_[151] + vX_[613] * vX_[2] +
+ vX_[546] * vX_[253] + vX_[614] * x_in[7] + vX_[614] * x_in[7] + vX_[591] * vX_[344] + vX_[599] * vX_[250];
+ vX_[719] = vX_[719] + vX_[729];
+ jac[93] = vX_[731] * vX_[153] + vX_[734] * vX_[265] + vX_[695] * vX_[151] + vX_[718] * vX_[2] +
+ vX_[651] * vX_[253] + vX_[719] * x_in[7] + vX_[719] * x_in[7] + vX_[696] * vX_[344] + vX_[704] * vX_[250];
+ vX_[836] = vX_[836] + vX_[846];
+ jac[94] = vX_[848] * vX_[153] + vX_[851] * vX_[265] + vX_[812] * vX_[151] + vX_[835] * vX_[2] +
+ vX_[768] * vX_[253] + vX_[836] * x_in[7] + vX_[836] * x_in[7] + vX_[813] * vX_[344] + vX_[821] * vX_[250];
+ vX_[175] = vX_[175] + vX_[960];
+ jac[95] = vX_[962] * vX_[153] + vX_[965] * vX_[265] + vX_[933] * vX_[151] + vX_[950] * vX_[2] +
+ vX_[883] * vX_[253] + vX_[175] * x_in[7] + vX_[175] * x_in[7] + vX_[232] * vX_[344] + vX_[231] * vX_[250];
+ // dependent variables without operations
+ jac[72] = 1;
+ jac[85] = 1;
+ jac[98] = 1;
+ jac[111] = 1;
+ jac[124] = 1;
+ jac[137] = 1;
+
+
+ return dFdx_;
+}
+
+const HyALinearizedReverse::state_control_matrix_t& HyALinearizedReverse::getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdu_.data();
+ Eigen::Matrix<double, 12 + 6, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = sin(x_in[1]);
+ vU_[1] = cos(x_in[2]);
+ vU_[2] = 0 - vU_[1];
+ vU_[3] = sin(x_in[3]);
+ vU_[4] = -0.304 * vU_[3];
+ vU_[5] = -1 * vU_[4];
+ vU_[6] = cos(x_in[4]);
+ vU_[7] = 0 - vU_[6];
+ vU_[8] = cos(x_in[5]);
+ vU_[9] = sin(x_in[5]);
+ vU_[10] = 0 - vU_[9];
+ vU_[11] = -6.25528861700981e-05 * vU_[8] + 0.00345708950900075 * vU_[10];
+ vU_[12] = vU_[11] * vU_[8];
+ vU_[13] = -0.184 * vU_[8] + 0.02075 * vU_[10];
+ vU_[14] = 1.547475 * vU_[13];
+ vU_[15] = -0.038686875 + vU_[14];
+ vU_[16] = 0 - vU_[15];
+ vU_[17] = 0.184 * vU_[9] - 0.02075 * vU_[8];
+ vU_[18] = 0 - 1.547475 * vU_[17];
+ vU_[19] = vU_[9] * vU_[16] + vU_[8] * vU_[18];
+ vU_[20] = 1.547475 * vU_[17];
+ vU_[21] = 0 - 1.38614328745655 * vU_[13];
+ vU_[22] = vU_[20] * vU_[17] - vU_[21] * vU_[13];
+ vU_[23] = 0.0107369757464698 - vU_[18] * vU_[17] - vU_[22];
+ vU_[17] = 0.000199340411771047 + vU_[18] * vU_[13] - -0.038686875 * vU_[17];
+ vU_[24] = vU_[8] * vU_[23] + vU_[10] * vU_[17];
+ vU_[14] = 0.00315291990945349 + -0.07737375 * vU_[13] + vU_[14] * vU_[13] - vU_[22];
+ vU_[17] = vU_[8] * vU_[17] + vU_[10] * vU_[14];
+ vU_[25] = vU_[24] * vU_[8] + vU_[17] * vU_[10];
+ vU_[26] = 0.011046 + vU_[22] + vU_[25];
+ vU_[27] = vU_[19] / vU_[26];
+ vU_[28] = 0 - vU_[12] * vU_[27];
+ vU_[29] = sin(x_in[4]);
+ vU_[30] = 3.650675 - vU_[19] * vU_[27];
+ vU_[31] = -0.161331712543454 * vU_[10];
+ vU_[32] = vU_[31] * vU_[10];
+ vU_[11] = vU_[11] * vU_[10];
+ vU_[33] = vU_[11] / vU_[26];
+ vU_[34] = 3.650675 + vU_[32] - vU_[11] * vU_[33];
+ vU_[35] = vU_[30] - vU_[34];
+ vU_[36] = vU_[7] * vU_[28] + vU_[29] * vU_[35];
+ vU_[37] = vU_[12] / vU_[26];
+ vU_[32] = 3.48934328745655 - vU_[32] - vU_[12] * vU_[37];
+ vU_[38] = vU_[32] - vU_[34];
+ vU_[39] = vU_[29] * vU_[28];
+ vU_[40] = vU_[7] * vU_[38] + vU_[39];
+ vU_[41] = -0.112 * vU_[29];
+ vU_[42] = 0.112 * vU_[6];
+ vU_[43] = vU_[29] * vU_[41] + vU_[7] * vU_[42];
+ vU_[30] = vU_[43] * vU_[30];
+ vU_[16] = vU_[8] * vU_[16] + vU_[10] * vU_[18];
+ vU_[17] = -0.012652 + vU_[17] * vU_[8] + vU_[24] * vU_[9];
+ vU_[24] = -0.057838 - vU_[16] - vU_[17] * vU_[27];
+ vU_[44] = vU_[30] + vU_[24];
+ vU_[45] = 0 - -6.25528861700981e-05 * vU_[13];
+ vU_[13] = 0 - 0.00345708950900075 * vU_[13];
+ vU_[46] = 0 - vU_[13];
+ vU_[47] = -0.001243 + vU_[8] * vU_[45] + vU_[9] * vU_[46];
+ vU_[27] = 0 - vU_[47] * vU_[27];
+ vU_[48] = vU_[43] * vU_[28];
+ vU_[49] = vU_[27] - vU_[48];
+ vU_[50] = vU_[7] * vU_[44] + vU_[29] * vU_[49];
+ vU_[51] = -6.25528861700981e-05 * vU_[9] + 0.00345708950900075 * vU_[8];
+ vU_[52] = vU_[51] * vU_[8] - vU_[17] * vU_[37];
+ vU_[53] = vU_[48] + vU_[52];
+ vU_[32] = 0 - vU_[43] * vU_[32];
+ vU_[21] = vU_[21] + vU_[15];
+ vU_[20] = vU_[20] + vU_[18];
+ vU_[16] = 0.057838 + vU_[21] * vU_[8] + vU_[20] * vU_[9] + vU_[16] - vU_[47] * vU_[37];
+ vU_[37] = vU_[32] + vU_[16];
+ vU_[18] = vU_[7] * vU_[53] + vU_[29] * vU_[37];
+ vU_[15] = 0.160298259823722 + vU_[50] * vU_[6] + vU_[18] * vU_[29];
+ vU_[18] = vU_[18] * vU_[7] + vU_[50] * vU_[29];
+ vU_[24] = 2. * vU_[24] * vU_[43] + 0.019432 + vU_[14] + vU_[23] + vU_[22] - vU_[25] - vU_[17] * vU_[17] / vU_[26] +
+ vU_[30] * vU_[43];
+ vU_[30] = vU_[47] / vU_[26];
+ vU_[52] = vU_[27] * vU_[43] + -0.001387 + 2. * vU_[13] * vU_[8] + 2. * vU_[45] * vU_[9] + vU_[10] * vU_[45] +
+ vU_[8] * vU_[46] - vU_[17] * vU_[30] - vU_[52] * vU_[43] - vU_[48] * vU_[43];
+ vU_[48] = vU_[29] * vU_[52];
+ vU_[27] = vU_[7] * vU_[24] + vU_[48];
+ vU_[30] = 0.029115 + vU_[22] - vU_[47] * vU_[30] - 2. * vU_[16] * vU_[43] - vU_[32] * vU_[43];
+ vU_[16] = vU_[7] * vU_[52] + vU_[29] * vU_[30];
+ vU_[32] = vU_[27] * vU_[7] + vU_[16] * vU_[29];
+ vU_[22] = 0.09570849 + vU_[32];
+ vU_[46] = vU_[18] / vU_[22];
+ vU_[13] = vU_[36] * vU_[6] + vU_[40] * vU_[29] - vU_[15] * vU_[46];
+ vU_[45] = 0 - vU_[5] * vU_[13];
+ vU_[31] = vU_[31] * vU_[8] - vU_[12] * vU_[33];
+ vU_[20] = vU_[21] * vU_[10] + vU_[20] * vU_[8] - vU_[19] - vU_[47] * vU_[33] - vU_[43] * vU_[31];
+ vU_[21] = 0 - vU_[19] * vU_[33];
+ vU_[51] = vU_[43] * vU_[21] + vU_[51] * vU_[10] - vU_[17] * vU_[33];
+ vU_[43] = vU_[29] * vU_[51];
+ vU_[33] = 0 - vU_[20];
+ vU_[25] = vU_[7] * vU_[33] + vU_[43];
+ vU_[14] = vU_[15] / vU_[22];
+ vU_[43] = -1.52322944854339e-09 + vU_[20] * vU_[6] + vU_[43] - vU_[25] - -0.00021200017 * vU_[14];
+ vU_[23] = vU_[45] + vU_[43];
+ vU_[50] = cos(x_in[3]);
+ vU_[49] = vU_[29] * vU_[44] + vU_[6] * vU_[49];
+ vU_[37] = vU_[29] * vU_[53] + vU_[6] * vU_[37];
+ vU_[16] = -0.0022920002 + vU_[16] * vU_[6] + vU_[27] * vU_[29];
+ vU_[27] = vU_[49] * vU_[6] + vU_[37] * vU_[29] - vU_[16] * vU_[14];
+ vU_[53] = -0.304 * vU_[50];
+ vU_[44] = vU_[53] * vU_[13];
+ vU_[21] = 0 - vU_[21];
+ vU_[33] = vU_[29] * vU_[33] + vU_[6] * vU_[51];
+ vU_[54] = 0.008711861 - vU_[33];
+ vU_[55] = 0 - vU_[6] * vU_[31] - vU_[29] * vU_[21] - vU_[54] * vU_[46];
+ vU_[56] = vU_[5] * vU_[55];
+ vU_[57] = vU_[56] - vU_[44];
+ vU_[58] = vU_[27] + vU_[44] - vU_[57];
+ vU_[59] = vU_[3] * vU_[23] + vU_[50] * vU_[58];
+ vU_[60] = vU_[54] / vU_[22];
+ vU_[61] = 0 - -0.00021200017 * vU_[60];
+ vU_[56] = 0 - vU_[56];
+ vU_[62] = vU_[61] + vU_[56] - vU_[57];
+ vU_[63] = vU_[53] * vU_[55];
+ vU_[25] = 1.52322944854339e-09 + vU_[25] - vU_[16] * vU_[60];
+ vU_[64] = vU_[63] + vU_[25];
+ vU_[65] = vU_[3] * vU_[62] + vU_[50] * vU_[64];
+ vU_[66] = vU_[16] / vU_[22];
+ vU_[33] = -0.008711861 + vU_[20] * vU_[29] + vU_[51] * vU_[7] + vU_[33] - -0.00021200017 * vU_[46];
+ vU_[40] = vU_[40] * vU_[7] + vU_[36] * vU_[29];
+ vU_[36] = 1.7423722 + vU_[34] + vU_[40] - vU_[18] * vU_[46];
+ vU_[51] = 0 - vU_[5] * vU_[36];
+ vU_[37] = -0.160298259823722 + vU_[49] * vU_[29] + vU_[37] * vU_[7] - vU_[16] * vU_[46];
+ vU_[49] = 0.0036857284 - -0.00021200017 * vU_[66] + vU_[33] * vU_[53] + vU_[51] * vU_[53] - vU_[37] * vU_[5];
+ vU_[46] = vU_[50] * vU_[49];
+ vU_[20] = 0 - vU_[3];
+ vU_[48] = (vU_[29] * vU_[24] + vU_[6] * vU_[52]) * vU_[29] + (vU_[48] + vU_[6] * vU_[30]) * vU_[6];
+ vU_[52] = vU_[53] * vU_[36];
+ vU_[39] = (vU_[29] * vU_[38] + vU_[6] * vU_[28]) * vU_[29] + (vU_[39] + vU_[6] * vU_[35]) * vU_[6];
+ vU_[40] = 1.7423722 + vU_[35] + vU_[38] + vU_[34] - vU_[39] - vU_[40] - vU_[54] * vU_[60];
+ vU_[21] = vU_[29] * vU_[31] + vU_[7] * vU_[21] - vU_[54] * vU_[14];
+ vU_[31] = vU_[5] * vU_[40] - vU_[53] * vU_[21];
+ vU_[39] = 1.7423722 + vU_[34] + vU_[39] - vU_[15] * vU_[14];
+ vU_[14] = vU_[5] * vU_[21] - vU_[53] * vU_[39];
+ vU_[34] = vU_[31] * vU_[5] - vU_[14] * vU_[53];
+ vU_[66] = 2. * vU_[37] * vU_[53] + 0.01828449 + vU_[48] - vU_[16] * vU_[66] + vU_[52] * vU_[53] - vU_[34];
+ vU_[60] = vU_[46] + vU_[20] * vU_[66];
+ vU_[48] = 0.081661 + vU_[30] + vU_[24] - vU_[48] - vU_[32] - -0.00021200017 * -0.00021200017 / vU_[22] -
+ 2. * vU_[33] * vU_[5] - vU_[51] * vU_[5] - vU_[34];
+ vU_[32] = vU_[50] * vU_[48] + vU_[20] * vU_[49];
+ vU_[30] = -0.0037997814 + vU_[60] * vU_[50] + vU_[32] * vU_[3];
+ vU_[58] = vU_[50] * vU_[23] + vU_[20] * vU_[58];
+ vU_[64] = vU_[50] * vU_[62] + vU_[20] * vU_[64];
+ vU_[62] = -0.0055615274403 + vU_[58] * vU_[50] + vU_[64] * vU_[3];
+ vU_[32] = vU_[32] * vU_[50] + vU_[60] * vU_[20];
+ vU_[60] = 0.010329999 + vU_[34] + vU_[32];
+ vU_[23] = vU_[62] / vU_[60];
+ vU_[24] = vU_[59] * vU_[50] + vU_[65] * vU_[3] + vU_[57] - vU_[30] * vU_[23];
+ vU_[38] = sin(x_in[2]);
+ vU_[35] = -0.112 * vU_[38];
+ vU_[28] = 0.112 * vU_[1];
+ vU_[67] = vU_[38] * vU_[35] + vU_[2] * vU_[28];
+ vU_[56] = vU_[61] * vU_[5] + vU_[56] * vU_[5] - vU_[43] * vU_[53] - vU_[45] * vU_[53];
+ vU_[25] = vU_[27] * vU_[53] + vU_[44] * vU_[53] - vU_[25] * vU_[5] - vU_[63] * vU_[5];
+ vU_[63] = -0.011715295 - vU_[50] * vU_[56] - vU_[3] * vU_[25];
+ vU_[44] = vU_[30] / vU_[60];
+ vU_[52] = vU_[52] + vU_[37];
+ vU_[37] = 0 - vU_[52];
+ vU_[51] = vU_[51] + vU_[33];
+ vU_[33] = vU_[3] * vU_[37] + vU_[50] * vU_[51];
+ vU_[53] = -0.01438086 - vU_[33];
+ vU_[27] = vU_[53] / vU_[60];
+ vU_[5] = vU_[57] - vU_[63] * vU_[27];
+ vU_[13] = 0 - vU_[13];
+ vU_[61] = vU_[20] * vU_[55] + vU_[50] * vU_[13] - vU_[53] * vU_[23];
+ vU_[43] = vU_[67] * vU_[61];
+ vU_[25] = vU_[24] * vU_[67] + 5.399998e-05 + vU_[20] * vU_[56] + vU_[50] * vU_[25] - vU_[63] * vU_[44] -
+ vU_[5] * vU_[67] - vU_[43] * vU_[67];
+ vU_[46] = (vU_[3] * vU_[48] + vU_[46]) * vU_[3] + (vU_[3] * vU_[49] + vU_[50] * vU_[66]) * vU_[50];
+ vU_[37] = vU_[50] * vU_[37] + vU_[20] * vU_[51];
+ vU_[49] = 0.647967112 + vU_[37] - vU_[30] * vU_[27];
+ vU_[39] = vU_[39] - vU_[36];
+ vU_[40] = vU_[40] - vU_[36];
+ vU_[56] = vU_[50] * vU_[21];
+ vU_[45] = (vU_[3] * vU_[40] + vU_[56]) * vU_[3] + (vU_[3] * vU_[21] + vU_[50] * vU_[39]) * vU_[50];
+ vU_[21] = vU_[50] * vU_[40] + vU_[20] * vU_[21];
+ vU_[56] = vU_[56] + vU_[20] * vU_[39];
+ vU_[68] = vU_[21] * vU_[50] + vU_[56] * vU_[20];
+ vU_[40] = 2.327 + vU_[39] + vU_[40] + vU_[36] - vU_[45] - vU_[68] - vU_[53] * vU_[27];
+ vU_[39] = 0 - vU_[67] * vU_[40];
+ vU_[44] = 0.20986895 + vU_[34] + vU_[46] - vU_[30] * vU_[44] - 2. * vU_[49] * vU_[67] - vU_[39] * vU_[67];
+ vU_[27] = vU_[2] * vU_[25] + vU_[38] * vU_[44];
+ vU_[52] = -1 * (vU_[14] + vU_[52]);
+ vU_[51] = -1 * (vU_[31] + vU_[51]);
+ vU_[37] = -0.647967112 + vU_[52] * vU_[50] + vU_[51] * vU_[3] - vU_[37] - vU_[63] * vU_[23];
+ vU_[45] = 2.327 + vU_[36] + vU_[45] - vU_[62] * vU_[23];
+ vU_[23] = vU_[67] * vU_[45];
+ vU_[46] = 2. * vU_[37] * vU_[67] + 0.20236395 + vU_[66] + vU_[48] + vU_[34] - vU_[46] - vU_[32] -
+ vU_[63] * vU_[63] / vU_[60] + vU_[23] * vU_[67];
+ vU_[32] = vU_[38] * vU_[25];
+ vU_[48] = vU_[2] * vU_[46] + vU_[32];
+ vU_[66] = -0.002752 + vU_[27] * vU_[1] + vU_[48] * vU_[38];
+ vU_[48] = vU_[48] * vU_[2] + vU_[27] * vU_[38];
+ vU_[27] = 0.051393528 + vU_[48];
+ vU_[34] = vU_[66] / vU_[27];
+ vU_[64] = vU_[58] * vU_[20] + vU_[64] * vU_[50] + vU_[57];
+ vU_[58] = vU_[64] / vU_[60];
+ vU_[13] = 0 - vU_[50] * vU_[55] - vU_[3] * vU_[13] - vU_[53] * vU_[58];
+ vU_[65] = 0.0055615274403 + vU_[59] * vU_[20] + vU_[65] * vU_[50] - vU_[67] * vU_[13] - vU_[30] * vU_[58];
+ vU_[56] = vU_[56] * vU_[50] + vU_[21] * vU_[3] - vU_[62] * vU_[58];
+ vU_[51] = 0.01438086 + vU_[52] * vU_[20] + vU_[51] * vU_[50] + vU_[33] + vU_[67] * vU_[56] - vU_[63] * vU_[58];
+ vU_[52] = vU_[38] * (0 - vU_[65]) + vU_[1] * vU_[51];
+ vU_[5] = vU_[43] + vU_[5];
+ vU_[39] = vU_[39] + vU_[49];
+ vU_[49] = vU_[2] * vU_[5] + vU_[38] * vU_[39];
+ vU_[23] = vU_[23] + vU_[37];
+ vU_[43] = vU_[24] - vU_[43];
+ vU_[24] = vU_[2] * vU_[23] + vU_[38] * vU_[43];
+ vU_[37] = vU_[49] * vU_[2] + vU_[24] * vU_[38];
+ vU_[33] = vU_[37] / vU_[27];
+ vU_[51] = -0.0606159433962 + vU_[65] * vU_[38] + vU_[51] * vU_[2] + vU_[52] - -0.022851627 * vU_[33];
+ vU_[65] = 0.178 * (0 - vU_[0]);
+ vU_[67] = cos(x_in[1]);
+ vU_[21] = -1 * 0.178 * vU_[67];
+ vU_[58] = 2.327 + vU_[36] + vU_[68] - vU_[64] * vU_[58];
+ vU_[40] = vU_[40] - vU_[58];
+ vU_[64] = vU_[38] * vU_[61];
+ vU_[45] = vU_[45] - vU_[58];
+ vU_[68] = (vU_[2] * vU_[40] + vU_[64]) * vU_[2] + (vU_[2] * vU_[61] + vU_[38] * vU_[45]) * vU_[38];
+ vU_[37] = 2.5924191 + vU_[58] + vU_[68] - vU_[37] * vU_[33];
+ vU_[36] = 0 - vU_[21] * vU_[37];
+ vU_[33] = -0.293374233908935 + (vU_[38] * vU_[23] + vU_[1] * vU_[43]) * vU_[38] +
+ (vU_[38] * vU_[5] + vU_[1] * vU_[39]) * vU_[2] - vU_[66] * vU_[33];
+ vU_[43] = 0.0055279857 - -0.022851627 * vU_[34] + vU_[51] * vU_[65] + vU_[36] * vU_[65] - vU_[33] * vU_[21];
+ vU_[32] = (vU_[38] * vU_[46] + vU_[1] * vU_[25]) * vU_[38] + (vU_[32] + vU_[1] * vU_[44]) * vU_[1];
+ vU_[64] = (vU_[38] * vU_[40] + vU_[1] * vU_[61]) * vU_[38] + (vU_[64] + vU_[1] * vU_[45]) * vU_[1];
+ vU_[52] = 0.0606159433962 - vU_[52];
+ vU_[24] = 0.293374233908935 + vU_[24] * vU_[1] + vU_[49] * vU_[38];
+ vU_[49] = vU_[24] / vU_[27];
+ vU_[56] = vU_[38] * vU_[13] + vU_[2] * (0 - vU_[56]) - vU_[52] * vU_[49];
+ vU_[56] = (vU_[21] * (2.5924191 + vU_[45] + vU_[40] + vU_[58] - vU_[64] - vU_[68] - vU_[52] * vU_[52] / vU_[27]) -
+ vU_[65] * vU_[56]) *
+ vU_[21] -
+ (vU_[21] * vU_[56] - vU_[65] * (2.5924191 + vU_[58] + vU_[64] - vU_[24] * vU_[49])) * vU_[65];
+ vU_[56] = 0.007629 +
+ (vU_[0] * vU_[43] + vU_[67] * (2. * vU_[33] * vU_[65] + 0.08585553 + vU_[32] - vU_[66] * vU_[34] +
+ vU_[65] * vU_[37] * vU_[65] - vU_[56])) *
+ vU_[67] +
+ (vU_[0] * (0.039002996 + vU_[44] + vU_[46] - vU_[32] - vU_[48] - -0.022851627 * -0.022851627 / vU_[27] -
+ 2. * vU_[51] * vU_[21] - vU_[36] * vU_[21] - vU_[56]) +
+ vU_[67] * vU_[43]) *
+ vU_[0] +
+ vU_[56];
+ jac[6] = 1 / vU_[56];
+ vU_[32] = 1 / vU_[27];
+ jac[7] = ((0 - vU_[32]) * vU_[66] * vU_[67] + (0 - vU_[32]) * -0.022851627 * vU_[0]) * 1 / vU_[56];
+ vU_[43] = 1 / vU_[60];
+ vU_[33] = (0 - vU_[43]) * vU_[62];
+ vU_[36] = (0 - vU_[43]) * vU_[53];
+ vU_[37] = 0.112 * vU_[1];
+ vU_[21] = (0 - vU_[43]) * vU_[30];
+ vU_[65] = (0 - vU_[43]) * vU_[63];
+ vU_[51] = 0.112 * vU_[38];
+ vU_[34] = (vU_[33] * vU_[28] + vU_[36] * vU_[51] + vU_[21] * vU_[38] + vU_[65] * vU_[2]) * 1 / vU_[27];
+ jac[8] = ((vU_[33] * vU_[35] + vU_[36] * vU_[37] + vU_[21] * vU_[1] + vU_[65] * vU_[38] + (0 - vU_[34]) * vU_[66]) *
+ vU_[67] +
+ ((0 - vU_[43]) * vU_[60] + (0 - vU_[34]) * -0.022851627) * vU_[0]) *
+ 1 / vU_[56];
+ vU_[65] = 1 / vU_[22];
+ vU_[21] = (0 - vU_[65]) * vU_[15];
+ vU_[36] = (0 - vU_[65]) * vU_[54];
+ vU_[33] = (0 - vU_[65]) * vU_[16];
+ vU_[48] = (0 - vU_[65]) * -0.00021200017;
+ vU_[46] = vU_[33] * vU_[20] + vU_[48] * vU_[50];
+ vU_[44] = vU_[46] * 1 / vU_[60];
+ vU_[49] = vU_[21] * vU_[50] + vU_[36] * vU_[3] + (0 - vU_[44]) * vU_[62];
+ vU_[24] = (0 - vU_[65]) * vU_[18];
+ vU_[52] = vU_[24] * -1 + (0 - vU_[44]) * vU_[53];
+ vU_[24] = vU_[24] * -0.304 + vU_[33] * vU_[50] + vU_[48] * vU_[3] + (0 - vU_[44]) * vU_[30];
+ vU_[48] = -0.304 * vU_[50];
+ vU_[36] = vU_[21] * vU_[48] + vU_[36] * vU_[4] + (0 - vU_[65]) * vU_[22] * -1 + (0 - vU_[44]) * vU_[63];
+ vU_[21] = (vU_[49] * vU_[28] + vU_[52] * vU_[51] + vU_[24] * vU_[38] + vU_[36] * vU_[2]) * 1 / vU_[27];
+ jac[9] = ((vU_[49] * vU_[35] + vU_[52] * vU_[37] + vU_[24] * vU_[1] + vU_[36] * vU_[38] + (0 - vU_[21]) * vU_[66]) *
+ vU_[67] +
+ (vU_[46] + (0 - vU_[44]) * vU_[60] + (0 - vU_[21]) * -0.022851627) * vU_[0]) *
+ 1 / vU_[56];
+ vU_[36] = 1 / vU_[26];
+ vU_[24] = (0 - vU_[36]) * vU_[19];
+ vU_[52] = (0 - vU_[36]) * vU_[12];
+ vU_[49] = 0.112 * vU_[29];
+ vU_[46] = (0 - vU_[36]) * vU_[47];
+ vU_[33] = (0 - vU_[36]) * vU_[17];
+ vU_[64] = vU_[24] * vU_[42] + vU_[52] * vU_[49] + vU_[46] * vU_[29] + vU_[33] * vU_[7];
+ vU_[68] = vU_[64] * 1 / vU_[22];
+ vU_[45] = vU_[24] * vU_[6] + vU_[52] * vU_[29] + (0 - vU_[68]) * vU_[15];
+ vU_[40] = (0 - vU_[36]) * vU_[11] + (0 - vU_[68]) * vU_[54];
+ vU_[58] = 0.112 * vU_[6];
+ vU_[33] = vU_[24] * vU_[41] + vU_[52] * vU_[58] + vU_[46] * vU_[6] + vU_[33] * vU_[29] + (0 - vU_[68]) * vU_[16];
+ vU_[46] = (0 - vU_[36]) * vU_[26] + (0 - vU_[68]) * -0.00021200017;
+ vU_[13] = vU_[33] * vU_[20] + vU_[46] * vU_[50];
+ vU_[61] = vU_[13] * 1 / vU_[60];
+ vU_[25] = vU_[45] * vU_[50] + vU_[40] * vU_[3] + (0 - vU_[61]) * vU_[62];
+ vU_[23] = 0 - vU_[6];
+ vU_[52] = vU_[24] * vU_[29] + vU_[52] * vU_[23] + (0 - vU_[68]) * vU_[18];
+ vU_[24] = vU_[52] * -1 + (0 - vU_[61]) * vU_[53];
+ vU_[52] = vU_[52] * -0.304 + vU_[33] * vU_[50] + vU_[46] * vU_[3] + (0 - vU_[61]) * vU_[30];
+ vU_[40] = vU_[45] * vU_[48] + vU_[40] * vU_[4] + (vU_[64] + (0 - vU_[68]) * vU_[22]) * -1 + (0 - vU_[61]) * vU_[63];
+ vU_[45] = (vU_[25] * vU_[28] + vU_[24] * vU_[51] + vU_[52] * vU_[38] + vU_[40] * vU_[2]) * 1 / vU_[27];
+ jac[10] =
+ ((vU_[25] * vU_[35] + vU_[24] * vU_[37] + vU_[52] * vU_[1] + vU_[40] * vU_[38] + (0 - vU_[45]) * vU_[66]) *
+ vU_[67] +
+ (vU_[13] + (0 - vU_[61]) * vU_[60] + (0 - vU_[45]) * -0.022851627) * vU_[0]) *
+ 1 / vU_[56];
+ vU_[40] = 0.089360784736445 * vU_[10] + -0.00161690201573785 * vU_[8];
+ vU_[52] = vU_[40] * 1 / vU_[26];
+ vU_[24] = (0 - vU_[52]) * vU_[19];
+ vU_[25] = -4.17019241133987 * vU_[8] + (0 - vU_[52]) * vU_[12];
+ vU_[13] = 0.02075 * vU_[9] + 0.184 * vU_[8];
+ vU_[64] = -1 + -4.17019241133987 * vU_[13] + (0 - vU_[52]) * vU_[47];
+ vU_[46] = 0.089360784736445 * vU_[8] + -0.00161690201573785 * vU_[9] + (0 - vU_[52]) * vU_[17];
+ vU_[33] = vU_[24] * vU_[42] + vU_[25] * vU_[49] + vU_[64] * vU_[29] + vU_[46] * vU_[7];
+ vU_[39] = vU_[33] * 1 / vU_[22];
+ vU_[5] = vU_[24] * vU_[6] + vU_[25] * vU_[29] + (0 - vU_[39]) * vU_[15];
+ vU_[59] = 0 - vU_[9];
+ vU_[55] = -4.17019241133987 * vU_[59] + (0 - vU_[52]) * vU_[11] + (0 - vU_[39]) * vU_[54];
+ vU_[46] = vU_[24] * vU_[41] + vU_[25] * vU_[58] + vU_[64] * vU_[6] + vU_[46] * vU_[29] + (0 - vU_[39]) * vU_[16];
+ vU_[40] = vU_[40] + (0 - vU_[52]) * vU_[26] + (0 - vU_[39]) * -0.00021200017;
+ vU_[64] = vU_[46] * vU_[20] + vU_[40] * vU_[50];
+ vU_[57] = vU_[64] * 1 / vU_[60];
+ vU_[31] = vU_[5] * vU_[50] + vU_[55] * vU_[3] + (0 - vU_[57]) * vU_[62];
+ vU_[25] = vU_[24] * vU_[29] + vU_[25] * vU_[23] + (0 - vU_[39]) * vU_[18];
+ vU_[24] = vU_[25] * -1 + (0 - vU_[57]) * vU_[53];
+ vU_[25] = vU_[25] * -0.304 + vU_[46] * vU_[50] + vU_[40] * vU_[3] + (0 - vU_[57]) * vU_[30];
+ vU_[55] = vU_[5] * vU_[48] + vU_[55] * vU_[4] + (vU_[33] + (0 - vU_[39]) * vU_[22]) * -1 + (0 - vU_[57]) * vU_[63];
+ vU_[5] = (vU_[31] * vU_[28] + vU_[24] * vU_[51] + vU_[25] * vU_[38] + vU_[55] * vU_[2]) * 1 / vU_[27];
+ jac[11] = ((vU_[31] * vU_[35] + vU_[24] * vU_[37] + vU_[25] * vU_[1] + vU_[55] * vU_[38] + (0 - vU_[5]) * vU_[66]) *
+ vU_[67] +
+ (vU_[64] + (0 - vU_[57]) * vU_[60] + (0 - vU_[5]) * -0.022851627) * vU_[0]) *
+ 1 / vU_[56];
+ vU_[55] = (0 - jac[6]) * vU_[67];
+ vU_[25] = (0 - jac[6]) * vU_[0];
+ jac[18] = vU_[55] * 1 / vU_[27] * vU_[66] + vU_[25] * 1 / vU_[27] * -0.022851627;
+ vU_[24] = (0 - jac[7]) * vU_[67];
+ vU_[31] = (0 - jac[7]) * vU_[0];
+ jac[19] = vU_[32] + vU_[24] * 1 / vU_[27] * vU_[66] + vU_[31] * 1 / vU_[27] * -0.022851627;
+ vU_[32] = (0 - jac[8]) * vU_[67];
+ vU_[64] = (0 - jac[8]) * vU_[0];
+ jac[20] = vU_[34] + vU_[32] * 1 / vU_[27] * vU_[66] + vU_[64] * 1 / vU_[27] * -0.022851627;
+ vU_[34] = (0 - jac[9]) * vU_[67];
+ vU_[56] = (0 - jac[9]) * vU_[0];
+ jac[21] = vU_[21] + vU_[34] * 1 / vU_[27] * vU_[66] + vU_[56] * 1 / vU_[27] * -0.022851627;
+ vU_[21] = (0 - jac[10]) * vU_[67];
+ vU_[33] = (0 - jac[10]) * vU_[0];
+ jac[22] = vU_[45] + vU_[21] * 1 / vU_[27] * vU_[66] + vU_[33] * 1 / vU_[27] * -0.022851627;
+ vU_[67] = (0 - jac[11]) * vU_[67];
+ vU_[0] = (0 - jac[11]) * vU_[0];
+ jac[23] = vU_[5] + vU_[67] * 1 / vU_[27] * vU_[66] + vU_[0] * 1 / vU_[27] * -0.022851627;
+ vU_[5] = (0 - jac[18]) * vU_[28] + vU_[55] * vU_[35];
+ vU_[27] = (0 - jac[18]) * vU_[51] + vU_[55] * vU_[37];
+ vU_[66] = (0 - jac[18]) * vU_[38] + vU_[55] * vU_[1];
+ vU_[55] = (0 - jac[18]) * vU_[2] + vU_[55] * vU_[38];
+ jac[30] = vU_[5] * 1 / vU_[60] * vU_[62] + vU_[27] * 1 / vU_[60] * vU_[53] + vU_[25] * 1 / vU_[60] * vU_[60] +
+ vU_[66] * 1 / vU_[60] * vU_[30] + vU_[55] * 1 / vU_[60] * vU_[63];
+ vU_[45] = (0 - jac[19]) * vU_[28] + vU_[24] * vU_[35];
+ vU_[40] = (0 - jac[19]) * vU_[51] + vU_[24] * vU_[37];
+ vU_[46] = (0 - jac[19]) * vU_[38] + vU_[24] * vU_[1];
+ vU_[24] = (0 - jac[19]) * vU_[2] + vU_[24] * vU_[38];
+ jac[31] = vU_[45] * 1 / vU_[60] * vU_[62] + vU_[40] * 1 / vU_[60] * vU_[53] + vU_[31] * 1 / vU_[60] * vU_[60] +
+ vU_[46] * 1 / vU_[60] * vU_[30] + vU_[24] * 1 / vU_[60] * vU_[63];
+ vU_[14] = (0 - jac[20]) * vU_[28] + vU_[32] * vU_[35];
+ vU_[69] = (0 - jac[20]) * vU_[51] + vU_[32] * vU_[37];
+ vU_[70] = (0 - jac[20]) * vU_[38] + vU_[32] * vU_[1];
+ vU_[32] = (0 - jac[20]) * vU_[2] + vU_[32] * vU_[38];
+ jac[32] = vU_[43] + vU_[14] * 1 / vU_[60] * vU_[62] + vU_[69] * 1 / vU_[60] * vU_[53] +
+ vU_[64] * 1 / vU_[60] * vU_[60] + vU_[70] * 1 / vU_[60] * vU_[30] + vU_[32] * 1 / vU_[60] * vU_[63];
+ vU_[43] = (0 - jac[21]) * vU_[28] + vU_[34] * vU_[35];
+ vU_[71] = (0 - jac[21]) * vU_[51] + vU_[34] * vU_[37];
+ vU_[72] = (0 - jac[21]) * vU_[38] + vU_[34] * vU_[1];
+ vU_[34] = (0 - jac[21]) * vU_[2] + vU_[34] * vU_[38];
+ jac[33] = vU_[44] + vU_[43] * 1 / vU_[60] * vU_[62] + vU_[71] * 1 / vU_[60] * vU_[53] +
+ vU_[56] * 1 / vU_[60] * vU_[60] + vU_[72] * 1 / vU_[60] * vU_[30] + vU_[34] * 1 / vU_[60] * vU_[63];
+ vU_[44] = (0 - jac[22]) * vU_[28] + vU_[21] * vU_[35];
+ vU_[73] = (0 - jac[22]) * vU_[51] + vU_[21] * vU_[37];
+ vU_[74] = (0 - jac[22]) * vU_[38] + vU_[21] * vU_[1];
+ vU_[21] = (0 - jac[22]) * vU_[2] + vU_[21] * vU_[38];
+ jac[34] = vU_[61] + vU_[44] * 1 / vU_[60] * vU_[62] + vU_[73] * 1 / vU_[60] * vU_[53] +
+ vU_[33] * 1 / vU_[60] * vU_[60] + vU_[74] * 1 / vU_[60] * vU_[30] + vU_[21] * 1 / vU_[60] * vU_[63];
+ vU_[28] = (0 - jac[23]) * vU_[28] + vU_[67] * vU_[35];
+ vU_[51] = (0 - jac[23]) * vU_[51] + vU_[67] * vU_[37];
+ vU_[1] = (0 - jac[23]) * vU_[38] + vU_[67] * vU_[1];
+ vU_[67] = (0 - jac[23]) * vU_[2] + vU_[67] * vU_[38];
+ jac[35] = vU_[57] + vU_[28] * 1 / vU_[60] * vU_[62] + vU_[51] * 1 / vU_[60] * vU_[53] +
+ vU_[0] * 1 / vU_[60] * vU_[60] + vU_[1] * 1 / vU_[60] * vU_[30] + vU_[67] * 1 / vU_[60] * vU_[63];
+ vU_[27] = vU_[27] * -1 + vU_[66] * -0.304;
+ vU_[57] = vU_[5] * vU_[50] + vU_[55] * vU_[48];
+ vU_[5] = vU_[5] * vU_[3] + vU_[55] * vU_[4];
+ vU_[55] = vU_[55] * -1;
+ vU_[25] = vU_[25] - jac[30];
+ vU_[53] = vU_[25] * vU_[20] + vU_[66] * vU_[50];
+ vU_[25] = vU_[25] * vU_[50] + vU_[66] * vU_[3];
+ jac[42] = vU_[27] * 1 / vU_[22] * vU_[18] + vU_[57] * 1 / vU_[22] * vU_[15] + vU_[5] * 1 / vU_[22] * vU_[54] +
+ vU_[55] * 1 / vU_[22] * vU_[22] + vU_[53] * 1 / vU_[22] * vU_[16] +
+ vU_[25] * 1 / vU_[22] * -0.00021200017;
+ vU_[40] = vU_[40] * -1 + vU_[46] * -0.304;
+ vU_[66] = vU_[45] * vU_[50] + vU_[24] * vU_[48];
+ vU_[45] = vU_[45] * vU_[3] + vU_[24] * vU_[4];
+ vU_[24] = vU_[24] * -1;
+ vU_[31] = vU_[31] - jac[31];
+ vU_[63] = vU_[31] * vU_[20] + vU_[46] * vU_[50];
+ vU_[31] = vU_[31] * vU_[50] + vU_[46] * vU_[3];
+ jac[43] = vU_[40] * 1 / vU_[22] * vU_[18] + vU_[66] * 1 / vU_[22] * vU_[15] + vU_[45] * 1 / vU_[22] * vU_[54] +
+ vU_[24] * 1 / vU_[22] * vU_[22] + vU_[63] * 1 / vU_[22] * vU_[16] +
+ vU_[31] * 1 / vU_[22] * -0.00021200017;
+ vU_[69] = vU_[69] * -1 + vU_[70] * -0.304;
+ vU_[46] = vU_[14] * vU_[50] + vU_[32] * vU_[48];
+ vU_[14] = vU_[14] * vU_[3] + vU_[32] * vU_[4];
+ vU_[32] = vU_[32] * -1;
+ vU_[64] = vU_[64] - jac[32];
+ vU_[60] = vU_[64] * vU_[20] + vU_[70] * vU_[50];
+ vU_[64] = vU_[64] * vU_[50] + vU_[70] * vU_[3];
+ jac[44] = vU_[69] * 1 / vU_[22] * vU_[18] + vU_[46] * 1 / vU_[22] * vU_[15] + vU_[14] * 1 / vU_[22] * vU_[54] +
+ vU_[32] * 1 / vU_[22] * vU_[22] + vU_[60] * 1 / vU_[22] * vU_[16] +
+ vU_[64] * 1 / vU_[22] * -0.00021200017;
+ vU_[71] = vU_[71] * -1 + vU_[72] * -0.304;
+ vU_[70] = vU_[43] * vU_[50] + vU_[34] * vU_[48];
+ vU_[43] = vU_[43] * vU_[3] + vU_[34] * vU_[4];
+ vU_[34] = vU_[34] * -1;
+ vU_[56] = vU_[56] - jac[33];
+ vU_[62] = vU_[56] * vU_[20] + vU_[72] * vU_[50];
+ vU_[56] = vU_[56] * vU_[50] + vU_[72] * vU_[3];
+ jac[45] = vU_[65] + vU_[71] * 1 / vU_[22] * vU_[18] + vU_[70] * 1 / vU_[22] * vU_[15] +
+ vU_[43] * 1 / vU_[22] * vU_[54] + vU_[34] * 1 / vU_[22] * vU_[22] + vU_[62] * 1 / vU_[22] * vU_[16] +
+ vU_[56] * 1 / vU_[22] * -0.00021200017;
+ vU_[73] = vU_[73] * -1 + vU_[74] * -0.304;
+ vU_[65] = vU_[44] * vU_[50] + vU_[21] * vU_[48];
+ vU_[44] = vU_[44] * vU_[3] + vU_[21] * vU_[4];
+ vU_[21] = vU_[21] * -1;
+ vU_[33] = vU_[33] - jac[34];
+ vU_[72] = vU_[33] * vU_[20] + vU_[74] * vU_[50];
+ vU_[33] = vU_[33] * vU_[50] + vU_[74] * vU_[3];
+ jac[46] = vU_[68] + vU_[73] * 1 / vU_[22] * vU_[18] + vU_[65] * 1 / vU_[22] * vU_[15] +
+ vU_[44] * 1 / vU_[22] * vU_[54] + vU_[21] * 1 / vU_[22] * vU_[22] + vU_[72] * 1 / vU_[22] * vU_[16] +
+ vU_[33] * 1 / vU_[22] * -0.00021200017;
+ vU_[51] = vU_[51] * -1 + vU_[1] * -0.304;
+ vU_[48] = vU_[28] * vU_[50] + vU_[67] * vU_[48];
+ vU_[28] = vU_[28] * vU_[3] + vU_[67] * vU_[4];
+ vU_[67] = vU_[67] * -1;
+ vU_[0] = vU_[0] - jac[35];
+ vU_[20] = vU_[0] * vU_[20] + vU_[1] * vU_[50];
+ vU_[0] = vU_[0] * vU_[50] + vU_[1] * vU_[3];
+ jac[47] = vU_[39] + vU_[51] * 1 / vU_[22] * vU_[18] + vU_[48] * 1 / vU_[22] * vU_[15] +
+ vU_[28] * 1 / vU_[22] * vU_[54] + vU_[67] * 1 / vU_[22] * vU_[22] + vU_[20] * 1 / vU_[22] * vU_[16] +
+ vU_[0] * 1 / vU_[22] * -0.00021200017;
+ vU_[55] = vU_[55] - jac[42];
+ vU_[39] = vU_[27] * vU_[23] + vU_[57] * vU_[29] + vU_[55] * vU_[49] + vU_[53] * vU_[58];
+ vU_[54] = vU_[55] * vU_[29] + vU_[53] * vU_[6];
+ vU_[16] = vU_[55] * vU_[7] + vU_[53] * vU_[29];
+ jac[54] = vU_[5] * 1 / vU_[26] * vU_[11] +
+ (vU_[27] * vU_[29] + vU_[57] * vU_[6] + vU_[55] * vU_[42] + vU_[53] * vU_[41]) * 1 / vU_[26] * vU_[19] +
+ vU_[39] * 1 / vU_[26] * vU_[12] + vU_[25] * 1 / vU_[26] * vU_[26] + vU_[54] * 1 / vU_[26] * vU_[47] +
+ vU_[16] * 1 / vU_[26] * vU_[17];
+ vU_[24] = vU_[24] - jac[43];
+ vU_[55] = vU_[40] * vU_[23] + vU_[66] * vU_[29] + vU_[24] * vU_[49] + vU_[63] * vU_[58];
+ vU_[53] = vU_[24] * vU_[29] + vU_[63] * vU_[6];
+ vU_[57] = vU_[24] * vU_[7] + vU_[63] * vU_[29];
+ jac[55] = vU_[45] * 1 / vU_[26] * vU_[11] +
+ (vU_[40] * vU_[29] + vU_[66] * vU_[6] + vU_[24] * vU_[42] + vU_[63] * vU_[41]) * 1 / vU_[26] * vU_[19] +
+ vU_[55] * 1 / vU_[26] * vU_[12] + vU_[31] * 1 / vU_[26] * vU_[26] + vU_[53] * 1 / vU_[26] * vU_[47] +
+ vU_[57] * 1 / vU_[26] * vU_[17];
+ vU_[32] = vU_[32] - jac[44];
+ vU_[24] = vU_[69] * vU_[23] + vU_[46] * vU_[29] + vU_[32] * vU_[49] + vU_[60] * vU_[58];
+ vU_[63] = vU_[32] * vU_[29] + vU_[60] * vU_[6];
+ vU_[66] = vU_[32] * vU_[7] + vU_[60] * vU_[29];
+ jac[56] = vU_[14] * 1 / vU_[26] * vU_[11] +
+ (vU_[69] * vU_[29] + vU_[46] * vU_[6] + vU_[32] * vU_[42] + vU_[60] * vU_[41]) * 1 / vU_[26] * vU_[19] +
+ vU_[24] * 1 / vU_[26] * vU_[12] + vU_[64] * 1 / vU_[26] * vU_[26] + vU_[63] * 1 / vU_[26] * vU_[47] +
+ vU_[66] * 1 / vU_[26] * vU_[17];
+ vU_[34] = vU_[34] - jac[45];
+ vU_[32] = vU_[71] * vU_[23] + vU_[70] * vU_[29] + vU_[34] * vU_[49] + vU_[62] * vU_[58];
+ vU_[60] = vU_[34] * vU_[29] + vU_[62] * vU_[6];
+ vU_[46] = vU_[34] * vU_[7] + vU_[62] * vU_[29];
+ jac[57] = vU_[43] * 1 / vU_[26] * vU_[11] +
+ (vU_[71] * vU_[29] + vU_[70] * vU_[6] + vU_[34] * vU_[42] + vU_[62] * vU_[41]) * 1 / vU_[26] * vU_[19] +
+ vU_[32] * 1 / vU_[26] * vU_[12] + vU_[56] * 1 / vU_[26] * vU_[26] + vU_[60] * 1 / vU_[26] * vU_[47] +
+ vU_[46] * 1 / vU_[26] * vU_[17];
+ vU_[21] = vU_[21] - jac[46];
+ vU_[34] = vU_[73] * vU_[23] + vU_[65] * vU_[29] + vU_[21] * vU_[49] + vU_[72] * vU_[58];
+ vU_[62] = vU_[21] * vU_[29] + vU_[72] * vU_[6];
+ vU_[70] = vU_[21] * vU_[7] + vU_[72] * vU_[29];
+ jac[58] = vU_[36] + vU_[44] * 1 / vU_[26] * vU_[11] +
+ (vU_[73] * vU_[29] + vU_[65] * vU_[6] + vU_[21] * vU_[42] + vU_[72] * vU_[41]) * 1 / vU_[26] * vU_[19] +
+ vU_[34] * 1 / vU_[26] * vU_[12] + vU_[33] * 1 / vU_[26] * vU_[26] + vU_[62] * 1 / vU_[26] * vU_[47] +
+ vU_[70] * 1 / vU_[26] * vU_[17];
+ vU_[67] = vU_[67] - jac[47];
+ vU_[23] = vU_[51] * vU_[23] + vU_[48] * vU_[29] + vU_[67] * vU_[49] + vU_[20] * vU_[58];
+ vU_[58] = vU_[67] * vU_[29] + vU_[20] * vU_[6];
+ vU_[7] = vU_[67] * vU_[7] + vU_[20] * vU_[29];
+ jac[59] = vU_[52] + vU_[28] * 1 / vU_[26] * vU_[11] +
+ (vU_[51] * vU_[29] + vU_[48] * vU_[6] + vU_[67] * vU_[42] + vU_[20] * vU_[41]) * 1 / vU_[26] * vU_[19] +
+ vU_[23] * 1 / vU_[26] * vU_[12] + vU_[0] * 1 / vU_[26] * vU_[26] + vU_[58] * 1 / vU_[26] * vU_[47] +
+ vU_[7] * 1 / vU_[26] * vU_[17];
+ vU_[25] = vU_[25] - jac[54];
+ jac[66] = (vU_[5] * vU_[59] + vU_[39] * vU_[8] + vU_[54] * vU_[13]) * 107.793467715856 * 0.038686875 +
+ vU_[54] * 107.793467715856 * 0.009277 +
+ (vU_[25] * vU_[10] + vU_[16] * vU_[8]) * 107.793467715856 * -0.000829 +
+ (vU_[25] * vU_[8] + vU_[16] * vU_[9]) * 107.793467715856 * 1.5e-05;
+ vU_[31] = vU_[31] - jac[55];
+ jac[67] = (vU_[45] * vU_[59] + vU_[55] * vU_[8] + vU_[53] * vU_[13]) * 107.793467715856 * 0.038686875 +
+ vU_[53] * 107.793467715856 * 0.009277 +
+ (vU_[31] * vU_[10] + vU_[57] * vU_[8]) * 107.793467715856 * -0.000829 +
+ (vU_[31] * vU_[8] + vU_[57] * vU_[9]) * 107.793467715856 * 1.5e-05;
+ vU_[64] = vU_[64] - jac[56];
+ jac[68] = (vU_[14] * vU_[59] + vU_[24] * vU_[8] + vU_[63] * vU_[13]) * 107.793467715856 * 0.038686875 +
+ vU_[63] * 107.793467715856 * 0.009277 +
+ (vU_[64] * vU_[10] + vU_[66] * vU_[8]) * 107.793467715856 * -0.000829 +
+ (vU_[64] * vU_[8] + vU_[66] * vU_[9]) * 107.793467715856 * 1.5e-05;
+ vU_[56] = vU_[56] - jac[57];
+ jac[69] = (vU_[43] * vU_[59] + vU_[32] * vU_[8] + vU_[60] * vU_[13]) * 107.793467715856 * 0.038686875 +
+ vU_[60] * 107.793467715856 * 0.009277 +
+ (vU_[56] * vU_[10] + vU_[46] * vU_[8]) * 107.793467715856 * -0.000829 +
+ (vU_[56] * vU_[8] + vU_[46] * vU_[9]) * 107.793467715856 * 1.5e-05;
+ vU_[33] = vU_[33] - jac[58];
+ jac[70] = (vU_[44] * vU_[59] + vU_[34] * vU_[8] + vU_[62] * vU_[13]) * 107.793467715856 * 0.038686875 +
+ vU_[62] * 107.793467715856 * 0.009277 +
+ (vU_[33] * vU_[10] + vU_[70] * vU_[8]) * 107.793467715856 * -0.000829 +
+ (vU_[33] * vU_[8] + vU_[70] * vU_[9]) * 107.793467715856 * 1.5e-05;
+ vU_[0] = vU_[0] - jac[59];
+ jac[71] =
+ 107.793467715856 + (vU_[28] * vU_[59] + vU_[23] * vU_[8] + vU_[58] * vU_[13]) * 107.793467715856 * 0.038686875 +
+ vU_[58] * 107.793467715856 * 0.009277 + (vU_[0] * vU_[10] + vU_[7] * vU_[8]) * 107.793467715856 * -0.000829 +
+ (vU_[0] * vU_[8] + vU_[7] * vU_[9]) * 107.793467715856 * 1.5e-05;
+
+
+ return dFdu_;
+}
+} // namespace HyA
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyA/codegen/HyALinearizedReverse.h b/ct_models/include/ct/models/HyA/codegen/HyALinearizedReverse.h
new file mode 100644
index 0000000..efd8f09
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/HyALinearizedReverse.h
@@ -0,0 +1,59 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct {
+namespace models {
+namespace HyA {
+
+class HyALinearizedReverse : public ct::core::LinearSystem<12, 6, double>
+{
+public:
+ typedef ct::core::LinearSystem<12, 6, double> Base;
+
+ typedef typename Base::state_vector_t state_vector_t;
+ typedef typename Base::control_vector_t control_vector_t;
+ typedef typename Base::state_matrix_t state_matrix_t;
+ typedef typename Base::state_control_matrix_t state_control_matrix_t;
+
+ HyALinearizedReverse(const ct::core::SYSTEM_TYPE& type = ct::core::SYSTEM_TYPE::GENERAL)
+ : ct::core::LinearSystem<12, 6>(type)
+ {
+ initialize();
+ }
+
+ HyALinearizedReverse(const HyALinearizedReverse& other) { initialize(); }
+ virtual ~HyALinearizedReverse(){};
+
+ virtual HyALinearizedReverse* clone() const override { return new HyALinearizedReverse; }
+ virtual const state_matrix_t& getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+ virtual const state_control_matrix_t& getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+private:
+ void initialize()
+ {
+ dFdx_.setZero();
+ dFdu_.setZero();
+ vX_.fill(0.0);
+ vU_.fill(0.0);
+ }
+
+ state_matrix_t dFdx_;
+ state_control_matrix_t dFdu_;
+ std::array<double, 975> vX_;
+ std::array<double, 75> vU_;
+};
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyA/codegen/derivativeIvState.hpp b/ct_models/include/ct/models/HyA/codegen/derivativeIvState.hpp
new file mode 100644
index 0000000..594642f
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/derivativeIvState.hpp
@@ -0,0 +1,25 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+/*! \file
+ * \brief Auto-generated code for computing the derivative of qdd with respect to state and input
+ * \author Michael Neunert
+ *
+ * @example timingFullvsSeparateJacobian.cpp
+ * This is an example of how to use the generated code.
+ *
+ * @example timingFullJacobian.cpp
+ * This is an example of how to use the generated code.
+ */
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct_HyA {
+
+Eigen::Matrix<double, 12, 6> computeDIvdqCodegen(const Eigen::Matrix<double, 12, 1>& state);
+}
diff --git a/ct_models/include/ct/models/HyA/codegen/derivativeQddTau.hpp b/ct_models/include/ct/models/HyA/codegen/derivativeQddTau.hpp
new file mode 100644
index 0000000..c73ff4d
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/derivativeQddTau.hpp
@@ -0,0 +1,29 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+/*! \file
+ * \brief Auto-generated code for computing the derivative of qdd with respect to tau
+ * \author Michael Neunert
+ *
+ * @example timingFullvsSeparateJacobian.cpp
+ * This is an example of how to use the generated code.
+ *
+ * @example timingDerivativeQddTau.cpp
+ * This is an example of how to use the generated code.
+ *
+ * @example timingSparseJacobian.cpp
+ * This is an example of how to use the generated code.
+ */
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct_HyA {
+
+Eigen::Matrix<double, 6, 6> computeQddTauCodegen(const Eigen::Matrix<double, 12, 1>& state,
+ const Eigen::Matrix<double, 6, 1>& tau);
+}
diff --git a/ct_models/include/ct/models/HyA/codegen/fullJacobian.hpp b/ct_models/include/ct/models/HyA/codegen/fullJacobian.hpp
new file mode 100644
index 0000000..4a5da3b
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/codegen/fullJacobian.hpp
@@ -0,0 +1,27 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+/*! \file
+ * \brief Auto-generated code for computing the derivative of qdd with respect to state and input
+ * \author Michael Neunert
+ *
+ * @example timingFullvsSeparateJacobian.cpp
+ * This is an example of how to use the generated code.
+ *
+ * @example timingFullJacobian.cpp
+ * This is an example of how to use the generated code.
+ */
+
+#pragma once
+
+#include <array>
+#include <Eigen/Core>
+
+namespace ct_HyA {
+
+Eigen::Matrix<double, 12 + 6, 6> computeFullJacobianCodegen(const Eigen::Matrix<double, 12, 1>& state,
+ const Eigen::Matrix<double, 6, 1>& tau);
+}
diff --git a/ct_models/include/ct/models/HyA/generated/CMakeLists.txt b/ct_models/include/ct/models/HyA/generated/CMakeLists.txt
new file mode 100644
index 0000000..6a7c002
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/CMakeLists.txt
@@ -0,0 +1,53 @@
+#-------------------------------------------------------------------------------
+#
+# CMake file for the autogenerated C++ code for the robot ct_HyA
+#
+# ADVanced Robotics department (ADVR)
+# Fondazione Istituto Italiano di Tecnologia
+#
+# Author: Marco Frigerio
+# Note: this file has been generated by the Robotics Code Generator.
+# Do not edit unless you know what you are doing.
+#-------------------------------------------------------------------------------
+
+# Project configuration
+cmake_minimum_required(VERSION 2.8)
+project(gen_ct_hya)
+
+set(EIGEN_ROOT $ENV{EIGEN_ROOT} CACHE PATH "Path to Eigen headers")
+set(IIT_RBD_ROOT $ENV{IIT_RBD_ROOT} CACHE PATH "Path to iit-rbd headers")
+set(HEADER_INSTALL_ROOT /usr/local/include/ CACHE PATH "Where to install ct_HyA headers")
+set(LIB_INSTALL_ROOT /usr/local/lib/ CACHE PATH "Where to install ct_HyA library")
+
+SET(CMAKE_CXX_FLAGS "-g -Wall -O3 -march=native -mtune=native -D EIGEN_NO_DEBUG")
+
+set(LIB_NAME iitgenct_hya)
+
+set(HEADERS ./declarations.h
+ ./link_data_map.h
+ ./joint_data_map.h
+ ./transforms.h
+ ./kinematics_parameters.h
+ ./jacobians.h
+ ./traits.h
+ ./jsim.h
+ ./inverse_dynamics.h
+ ./forward_dynamics.h
+ ./inertia_properties.h
+ ./dynamics_parameters.h
+ ./miscellaneous.h)
+set(SOURCES ./miscellaneous.cpp)
+
+
+# Include directories
+include_directories(${EIGEN_ROOT})
+include_directories(${IIT_RBD_ROOT})
+
+# Add library
+add_library(${LIB_NAME} SHARED ${SOURCES})
+
+# Install (ie copy) header files
+install(FILES ${HEADERS} DESTINATION ${HEADER_INSTALL_ROOT}/iit/robots/ct_hya/)
+
+# Install the shared library
+install(TARGETS ${LIB_NAME} LIBRARY DESTINATION ${LIB_INSTALL_ROOT})
diff --git a/ct_models/include/ct/models/HyA/generated/declarations.h b/ct_models/include/ct/models/HyA/generated/declarations.h
new file mode 100644
index 0000000..bc191c3
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/declarations.h
@@ -0,0 +1,53 @@
+#ifndef IIT_ROBOT_CT_HYA_DECLARATIONS_H_
+#define IIT_ROBOT_CT_HYA_DECLARATIONS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+
+namespace iit {
+namespace ct_HyA {
+
+static const int JointSpaceDimension = 6;
+static const int jointsCount = 6;
+/** The total number of rigid bodies of this robot, including the base */
+static const int linksCount = 7;
+
+namespace tpl {
+template <typename SCALAR>
+using Column6d = Eigen::Matrix<SCALAR, 6, 1>;
+
+template <typename SCALAR>
+using JointState = Column6d<SCALAR>;
+}
+
+using Column6d = tpl::Column6d<double>;
+typedef Column6d JointState;
+
+enum JointIdentifiers {
+ SAA = 0
+ , SFE
+ , HR
+ , EFE
+ , WR
+ , WFE
+};
+
+enum LinkIdentifiers {
+ HYABASE = 0
+ , SHOULDER_AA
+ , SHOULDER_FE
+ , HUMERUS_R
+ , ELBOW_FE
+ , WRIST_R
+ , WRIST_FE
+};
+
+static const JointIdentifiers orderedJointIDs[jointsCount] =
+ {SAA,SFE,HR,EFE,WR,WFE};
+
+static const LinkIdentifiers orderedLinkIDs[linksCount] =
+ {HYABASE,SHOULDER_AA,SHOULDER_FE,HUMERUS_R,ELBOW_FE,WRIST_R,WRIST_FE};
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/default_dynparams_getter.h b/ct_models/include/ct/models/HyA/generated/default_dynparams_getter.h
new file mode 100644
index 0000000..aef5649
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/default_dynparams_getter.h
@@ -0,0 +1,30 @@
+#ifndef _CT_HYA_DEFAULT_GETTER_INERTIA_PARAMETERS_
+#define _CT_HYA_DEFAULT_GETTER_INERTIA_PARAMETERS_
+
+#include "dynamics_parameters.h"
+
+namespace iit {
+namespace ct_HyA {
+namespace dyn {
+
+class DefaultParamsGetter : public RuntimeParamsGetter
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ DefaultParamsGetter() {
+ resetDefaults();
+ }
+ ~DefaultParamsGetter() {};
+
+ public:
+ void resetDefaults() {
+ }
+
+ private:
+ RuntimeInertiaParams values;
+};
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/dynamics_parameters.h b/ct_models/include/ct/models/HyA/generated/dynamics_parameters.h
new file mode 100644
index 0000000..a878f8d
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/dynamics_parameters.h
@@ -0,0 +1,43 @@
+#ifndef _CT_HYA_RUNTIME_INERTIA_PARAMETERS_
+#define _CT_HYA_RUNTIME_INERTIA_PARAMETERS_
+
+namespace iit {
+namespace ct_HyA {
+namespace dyn {
+/**
+ * \defgroup dynparams Dynamics-parameters
+ * Facilities related to the parameters of the inertia properties of the
+ * robot ct_HyA.
+ *
+ * Inertia parameters are non-constants used in the robot model, where the
+ * inertia properties (mass, center of mass, intertia tensor) of the links
+ * are specified. Since the value of such parameters must be resolved
+ * at runtime, we sometimes refer to them as "runtime parameters", "runtime
+ * dynamics parameters", "runtime inertia parameters", etc.
+ *
+ * Do not confuse them with the "inertia properties" of links, which
+ * unfortunately, in the literature, are commonly referred to as
+ * "inertia parameters"... Here, the parameters are the non-constant
+ * fields of the inertia properties.
+ */
+
+ /**
+ * A container for the set of non-constant inertia parameters of the robot ct_HyA
+ * \ingroup dynparams
+ */
+ struct RuntimeInertiaParams {
+ };
+
+ /**
+ * The interface for classes that can compute the actual value of the
+ * non-constant inertia parameters of the robot ct_HyA.
+ * \ingroup dynparams
+ */
+ class RuntimeParamsGetter {
+ public:
+ };
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/forward_dynamics.cpp b/ct_models/include/ct/models/HyA/generated/forward_dynamics.cpp
new file mode 100644
index 0000000..a044f6a
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/forward_dynamics.cpp
@@ -0,0 +1 @@
+//Placeholder, do not delete
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/generated/forward_dynamics.h b/ct_models/include/ct/models/HyA/generated/forward_dynamics.h
new file mode 100644
index 0000000..5a433cc
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/forward_dynamics.h
@@ -0,0 +1,190 @@
+#ifndef IIT_ROBOT_CT_HYA_FORWARD_DYNAMICS_H_
+#define IIT_ROBOT_CT_HYA_FORWARD_DYNAMICS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_HyA {
+namespace dyn {
+
+/**
+ * The Forward Dynamics routine for the robot ct_HyA.
+ *
+ * The parameters common to most of the methods are the joint status \c q, the
+ * joint velocities \c qd and the joint forces \c tau. The accelerations \c qdd
+ * will be filled with the computed values. Overloaded methods without the \c q
+ * parameter use the current configuration of the robot; they are provided for
+ * the sake of efficiency, in case the kinematics transforms of the robot have
+ * already been updated elsewhere with the most recent configuration (eg by a
+ * call to setJointStatus()), so that it would be useless to compute them again.
+ */
+
+namespace tpl{
+
+template <typename TRAIT>
+class ForwardDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ // Convenient type aliases:
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef iit::rbd::Core<SCALAR> CoreS;
+
+ typedef LinkDataMap<typename CoreS::ForceVector> ExtForces;
+ typedef typename CoreS::ForceVector Force;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Column6D Column6DS;
+ typedef typename iit::ct_HyA::tpl::JointState<SCALAR> JointState;
+ typedef typename CoreS::Matrix66 Matrix66S;
+
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> InertiaMatrix;
+ typedef iit::ct_HyA::tpl::MotionTransforms<TRAIT> MTransforms;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_HyA, which will be used by this instance
+ * to compute the dynamics.
+ */
+ ForwardDynamics(iit::ct_HyA::dyn::tpl::InertiaProperties<TRAIT>& in, MTransforms& tr);
+ /** \name Forward dynamics
+ * The Articulated-Body-Algorithm to compute the joint accelerations
+ */ ///@{
+ /**
+ * \param qdd the joint accelerations vector (output parameter).
+ * \param q the joint status vector
+ * \param qd the joint velocities vector
+ * \param tau the joint forces (torque or force)
+ * \param fext the external forces, optional. Each force must be
+ * expressed in the reference frame of the link it is
+ * exerted on.
+ */
+ void fd(
+ JointState& qdd, // output parameter
+ const JointState& q, const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ void fd(
+ JointState& qdd, // output parameter
+ const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** Updates all the kinematics transforms used by this instance. */
+ void setJointStatus(const JointState& q) const;
+
+private:
+ iit::ct_HyA::dyn::tpl::InertiaProperties<TRAIT>* inertiaProps;
+ MTransforms* motionTransforms;
+
+ Matrix66S vcross; // support variable
+ Matrix66S Ia_r; // support variable, articulated inertia in the case of a revolute joint
+
+ // Link 'Shoulder_AA' :
+ Matrix66S Shoulder_AA_AI;
+ Velocity Shoulder_AA_a;
+ Velocity Shoulder_AA_v;
+ Velocity Shoulder_AA_c;
+ Force Shoulder_AA_p;
+
+ Column6DS Shoulder_AA_U;
+ SCALAR Shoulder_AA_D;
+ SCALAR Shoulder_AA_u;
+ // Link 'Shoulder_FE' :
+ Matrix66S Shoulder_FE_AI;
+ Velocity Shoulder_FE_a;
+ Velocity Shoulder_FE_v;
+ Velocity Shoulder_FE_c;
+ Force Shoulder_FE_p;
+
+ Column6DS Shoulder_FE_U;
+ SCALAR Shoulder_FE_D;
+ SCALAR Shoulder_FE_u;
+ // Link 'Humerus_R' :
+ Matrix66S Humerus_R_AI;
+ Velocity Humerus_R_a;
+ Velocity Humerus_R_v;
+ Velocity Humerus_R_c;
+ Force Humerus_R_p;
+
+ Column6DS Humerus_R_U;
+ SCALAR Humerus_R_D;
+ SCALAR Humerus_R_u;
+ // Link 'Elbow_FE' :
+ Matrix66S Elbow_FE_AI;
+ Velocity Elbow_FE_a;
+ Velocity Elbow_FE_v;
+ Velocity Elbow_FE_c;
+ Force Elbow_FE_p;
+
+ Column6DS Elbow_FE_U;
+ SCALAR Elbow_FE_D;
+ SCALAR Elbow_FE_u;
+ // Link 'Wrist_R' :
+ Matrix66S Wrist_R_AI;
+ Velocity Wrist_R_a;
+ Velocity Wrist_R_v;
+ Velocity Wrist_R_c;
+ Force Wrist_R_p;
+
+ Column6DS Wrist_R_U;
+ SCALAR Wrist_R_D;
+ SCALAR Wrist_R_u;
+ // Link 'Wrist_FE' :
+ Matrix66S Wrist_FE_AI;
+ Velocity Wrist_FE_a;
+ Velocity Wrist_FE_v;
+ Velocity Wrist_FE_c;
+ Force Wrist_FE_p;
+
+ Column6DS Wrist_FE_U;
+ SCALAR Wrist_FE_D;
+ SCALAR Wrist_FE_u;
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::setJointStatus(const JointState& q) const {
+ (motionTransforms-> fr_Shoulder_AA_X_fr_HyABase)(q);
+ (motionTransforms-> fr_Shoulder_FE_X_fr_Shoulder_AA)(q);
+ (motionTransforms-> fr_Humerus_R_X_fr_Shoulder_FE)(q);
+ (motionTransforms-> fr_Elbow_FE_X_fr_Humerus_R)(q);
+ (motionTransforms-> fr_Wrist_R_X_fr_Elbow_FE)(q);
+ (motionTransforms-> fr_Wrist_FE_X_fr_Wrist_R)(q);
+}
+
+template<typename TRAIT>
+inline void ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ const JointState& q,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+ setJointStatus(q);
+ fd(qdd, qd, tau, fext);
+}
+
+} // namespace tpl
+
+typedef tpl::ForwardDynamics<rbd::DoubleTrait> ForwardDynamics;
+
+}
+}
+}
+
+#include "forward_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/forward_dynamics.impl.h b/ct_models/include/ct/models/HyA/generated/forward_dynamics.impl.h
new file mode 100644
index 0000000..850a351
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/forward_dynamics.impl.h
@@ -0,0 +1,217 @@
+
+
+// Initialization of static-const data
+template<typename TRAIT>
+const typename iit::ct_HyA::dyn::tpl::ForwardDynamics<TRAIT>::ExtForces
+ iit::ct_HyA::dyn::tpl::ForwardDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template<typename TRAIT>
+iit::ct_HyA::dyn::tpl::ForwardDynamics<TRAIT>::ForwardDynamics(iit::ct_HyA::dyn::tpl::InertiaProperties<TRAIT>& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ motionTransforms( & transforms )
+{
+ Shoulder_AA_v.setZero();
+ Shoulder_AA_c.setZero();
+ Shoulder_FE_v.setZero();
+ Shoulder_FE_c.setZero();
+ Humerus_R_v.setZero();
+ Humerus_R_c.setZero();
+ Elbow_FE_v.setZero();
+ Elbow_FE_c.setZero();
+ Wrist_R_v.setZero();
+ Wrist_R_c.setZero();
+ Wrist_FE_v.setZero();
+ Wrist_FE_c.setZero();
+
+ vcross.setZero();
+ Ia_r.setZero();
+
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+
+ Shoulder_AA_AI = inertiaProps->getTensor_Shoulder_AA();
+ Shoulder_AA_p = - fext[SHOULDER_AA];
+ Shoulder_FE_AI = inertiaProps->getTensor_Shoulder_FE();
+ Shoulder_FE_p = - fext[SHOULDER_FE];
+ Humerus_R_AI = inertiaProps->getTensor_Humerus_R();
+ Humerus_R_p = - fext[HUMERUS_R];
+ Elbow_FE_AI = inertiaProps->getTensor_Elbow_FE();
+ Elbow_FE_p = - fext[ELBOW_FE];
+ Wrist_R_AI = inertiaProps->getTensor_Wrist_R();
+ Wrist_R_p = - fext[WRIST_R];
+ Wrist_FE_AI = inertiaProps->getTensor_Wrist_FE();
+ Wrist_FE_p = - fext[WRIST_FE];
+ // ---------------------- FIRST PASS ---------------------- //
+ // Note that, during the first pass, the articulated inertias are really
+ // just the spatial inertia of the links (see assignments above).
+ // Afterwards things change, and articulated inertias shall not be used
+ // in functions which work specifically with spatial inertias.
+
+ // + Link Shoulder_AA
+ // - The spatial velocity:
+ Shoulder_AA_v(rbd::AZ) = qd(SAA);
+
+ // - The bias force term:
+ Shoulder_AA_p += iit::rbd::vxIv(qd(SAA), Shoulder_AA_AI);
+
+ // + Link Shoulder_FE
+ // - The spatial velocity:
+ Shoulder_FE_v = (motionTransforms-> fr_Shoulder_FE_X_fr_Shoulder_AA) * Shoulder_AA_v;
+ Shoulder_FE_v(rbd::AZ) += qd(SFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(Shoulder_FE_v, vcross);
+ Shoulder_FE_c = vcross.col(rbd::AZ) * qd(SFE);
+
+ // - The bias force term:
+ Shoulder_FE_p += iit::rbd::vxIv(Shoulder_FE_v, Shoulder_FE_AI);
+
+ // + Link Humerus_R
+ // - The spatial velocity:
+ Humerus_R_v = (motionTransforms-> fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_v;
+ Humerus_R_v(rbd::AZ) += qd(HR);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(Humerus_R_v, vcross);
+ Humerus_R_c = vcross.col(rbd::AZ) * qd(HR);
+
+ // - The bias force term:
+ Humerus_R_p += iit::rbd::vxIv(Humerus_R_v, Humerus_R_AI);
+
+ // + Link Elbow_FE
+ // - The spatial velocity:
+ Elbow_FE_v = (motionTransforms-> fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_v;
+ Elbow_FE_v(rbd::AZ) += qd(EFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(Elbow_FE_v, vcross);
+ Elbow_FE_c = vcross.col(rbd::AZ) * qd(EFE);
+
+ // - The bias force term:
+ Elbow_FE_p += iit::rbd::vxIv(Elbow_FE_v, Elbow_FE_AI);
+
+ // + Link Wrist_R
+ // - The spatial velocity:
+ Wrist_R_v = (motionTransforms-> fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_v;
+ Wrist_R_v(rbd::AZ) += qd(WR);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(Wrist_R_v, vcross);
+ Wrist_R_c = vcross.col(rbd::AZ) * qd(WR);
+
+ // - The bias force term:
+ Wrist_R_p += iit::rbd::vxIv(Wrist_R_v, Wrist_R_AI);
+
+ // + Link Wrist_FE
+ // - The spatial velocity:
+ Wrist_FE_v = (motionTransforms-> fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_v;
+ Wrist_FE_v(rbd::AZ) += qd(WFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(Wrist_FE_v, vcross);
+ Wrist_FE_c = vcross.col(rbd::AZ) * qd(WFE);
+
+ // - The bias force term:
+ Wrist_FE_p += iit::rbd::vxIv(Wrist_FE_v, Wrist_FE_AI);
+
+
+ // ---------------------- SECOND PASS ---------------------- //
+ Matrix66S IaB;
+ Force pa;
+
+ // + Link Wrist_FE
+ Wrist_FE_u = tau(WFE) - Wrist_FE_p(rbd::AZ);
+ Wrist_FE_U = Wrist_FE_AI.col(rbd::AZ);
+ Wrist_FE_D = Wrist_FE_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(Wrist_FE_AI, Wrist_FE_U, Wrist_FE_D, Ia_r); // same as: Ia_r = Wrist_FE_AI - Wrist_FE_U/Wrist_FE_D * Wrist_FE_U.transpose();
+ pa = Wrist_FE_p + Ia_r * Wrist_FE_c + Wrist_FE_U * Wrist_FE_u/Wrist_FE_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_Wrist_FE_X_fr_Wrist_R, IaB);
+ Wrist_R_AI += IaB;
+ Wrist_R_p += (motionTransforms-> fr_Wrist_FE_X_fr_Wrist_R).transpose() * pa;
+
+ // + Link Wrist_R
+ Wrist_R_u = tau(WR) - Wrist_R_p(rbd::AZ);
+ Wrist_R_U = Wrist_R_AI.col(rbd::AZ);
+ Wrist_R_D = Wrist_R_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(Wrist_R_AI, Wrist_R_U, Wrist_R_D, Ia_r); // same as: Ia_r = Wrist_R_AI - Wrist_R_U/Wrist_R_D * Wrist_R_U.transpose();
+ pa = Wrist_R_p + Ia_r * Wrist_R_c + Wrist_R_U * Wrist_R_u/Wrist_R_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_Wrist_R_X_fr_Elbow_FE, IaB);
+ Elbow_FE_AI += IaB;
+ Elbow_FE_p += (motionTransforms-> fr_Wrist_R_X_fr_Elbow_FE).transpose() * pa;
+
+ // + Link Elbow_FE
+ Elbow_FE_u = tau(EFE) - Elbow_FE_p(rbd::AZ);
+ Elbow_FE_U = Elbow_FE_AI.col(rbd::AZ);
+ Elbow_FE_D = Elbow_FE_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(Elbow_FE_AI, Elbow_FE_U, Elbow_FE_D, Ia_r); // same as: Ia_r = Elbow_FE_AI - Elbow_FE_U/Elbow_FE_D * Elbow_FE_U.transpose();
+ pa = Elbow_FE_p + Ia_r * Elbow_FE_c + Elbow_FE_U * Elbow_FE_u/Elbow_FE_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_Elbow_FE_X_fr_Humerus_R, IaB);
+ Humerus_R_AI += IaB;
+ Humerus_R_p += (motionTransforms-> fr_Elbow_FE_X_fr_Humerus_R).transpose() * pa;
+
+ // + Link Humerus_R
+ Humerus_R_u = tau(HR) - Humerus_R_p(rbd::AZ);
+ Humerus_R_U = Humerus_R_AI.col(rbd::AZ);
+ Humerus_R_D = Humerus_R_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(Humerus_R_AI, Humerus_R_U, Humerus_R_D, Ia_r); // same as: Ia_r = Humerus_R_AI - Humerus_R_U/Humerus_R_D * Humerus_R_U.transpose();
+ pa = Humerus_R_p + Ia_r * Humerus_R_c + Humerus_R_U * Humerus_R_u/Humerus_R_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_Humerus_R_X_fr_Shoulder_FE, IaB);
+ Shoulder_FE_AI += IaB;
+ Shoulder_FE_p += (motionTransforms-> fr_Humerus_R_X_fr_Shoulder_FE).transpose() * pa;
+
+ // + Link Shoulder_FE
+ Shoulder_FE_u = tau(SFE) - Shoulder_FE_p(rbd::AZ);
+ Shoulder_FE_U = Shoulder_FE_AI.col(rbd::AZ);
+ Shoulder_FE_D = Shoulder_FE_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(Shoulder_FE_AI, Shoulder_FE_U, Shoulder_FE_D, Ia_r); // same as: Ia_r = Shoulder_FE_AI - Shoulder_FE_U/Shoulder_FE_D * Shoulder_FE_U.transpose();
+ pa = Shoulder_FE_p + Ia_r * Shoulder_FE_c + Shoulder_FE_U * Shoulder_FE_u/Shoulder_FE_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_Shoulder_FE_X_fr_Shoulder_AA, IaB);
+ Shoulder_AA_AI += IaB;
+ Shoulder_AA_p += (motionTransforms-> fr_Shoulder_FE_X_fr_Shoulder_AA).transpose() * pa;
+
+ // + Link Shoulder_AA
+ Shoulder_AA_u = tau(SAA) - Shoulder_AA_p(rbd::AZ);
+ Shoulder_AA_U = Shoulder_AA_AI.col(rbd::AZ);
+ Shoulder_AA_D = Shoulder_AA_U(rbd::AZ);
+
+
+
+ // ---------------------- THIRD PASS ---------------------- //
+ Shoulder_AA_a = (motionTransforms-> fr_Shoulder_AA_X_fr_HyABase).col(rbd::LZ) * SCALAR(iit::rbd::g);
+ qdd(SAA) = (Shoulder_AA_u - Shoulder_AA_U.dot(Shoulder_AA_a)) / Shoulder_AA_D;
+ Shoulder_AA_a(rbd::AZ) += qdd(SAA);
+
+ Shoulder_FE_a = (motionTransforms-> fr_Shoulder_FE_X_fr_Shoulder_AA) * Shoulder_AA_a + Shoulder_FE_c;
+ qdd(SFE) = (Shoulder_FE_u - Shoulder_FE_U.dot(Shoulder_FE_a)) / Shoulder_FE_D;
+ Shoulder_FE_a(rbd::AZ) += qdd(SFE);
+
+ Humerus_R_a = (motionTransforms-> fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_a + Humerus_R_c;
+ qdd(HR) = (Humerus_R_u - Humerus_R_U.dot(Humerus_R_a)) / Humerus_R_D;
+ Humerus_R_a(rbd::AZ) += qdd(HR);
+
+ Elbow_FE_a = (motionTransforms-> fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_a + Elbow_FE_c;
+ qdd(EFE) = (Elbow_FE_u - Elbow_FE_U.dot(Elbow_FE_a)) / Elbow_FE_D;
+ Elbow_FE_a(rbd::AZ) += qdd(EFE);
+
+ Wrist_R_a = (motionTransforms-> fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_a + Wrist_R_c;
+ qdd(WR) = (Wrist_R_u - Wrist_R_U.dot(Wrist_R_a)) / Wrist_R_D;
+ Wrist_R_a(rbd::AZ) += qdd(WR);
+
+ Wrist_FE_a = (motionTransforms-> fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_a + Wrist_FE_c;
+ qdd(WFE) = (Wrist_FE_u - Wrist_FE_U.dot(Wrist_FE_a)) / Wrist_FE_D;
+ Wrist_FE_a(rbd::AZ) += qdd(WFE);
+
+
+}
diff --git a/ct_models/include/ct/models/HyA/generated/inertia_properties.cpp b/ct_models/include/ct/models/HyA/generated/inertia_properties.cpp
new file mode 100644
index 0000000..4e89bf0
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/inertia_properties.cpp
@@ -0,0 +1 @@
+// Do not delete
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/generated/inertia_properties.h b/ct_models/include/ct/models/HyA/generated/inertia_properties.h
new file mode 100644
index 0000000..5d6c12d
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/inertia_properties.h
@@ -0,0 +1,164 @@
+#ifndef IIT_ROBOT_CT_HYA_INERTIA_PROPERTIES_H_
+#define IIT_ROBOT_CT_HYA_INERTIA_PROPERTIES_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_HyA {
+/**
+ * This namespace encloses classes and functions related to the Dynamics
+ * of the robot ct_HyA.
+ */
+namespace dyn {
+
+using InertiaMatrix = iit::rbd::InertiaMatrixDense;
+
+namespace tpl{
+
+template<typename TRAIT>
+class InertiaProperties {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> IMatrix;
+ typedef Eigen::Matrix<SCALAR, 3, 1> Vec3d;
+
+ InertiaProperties();
+ ~InertiaProperties();
+ const IMatrix& getTensor_Shoulder_AA() const;
+ const IMatrix& getTensor_Shoulder_FE() const;
+ const IMatrix& getTensor_Humerus_R() const;
+ const IMatrix& getTensor_Elbow_FE() const;
+ const IMatrix& getTensor_Wrist_R() const;
+ const IMatrix& getTensor_Wrist_FE() const;
+ SCALAR getMass_Shoulder_AA() const;
+ SCALAR getMass_Shoulder_FE() const;
+ SCALAR getMass_Humerus_R() const;
+ SCALAR getMass_Elbow_FE() const;
+ SCALAR getMass_Wrist_R() const;
+ SCALAR getMass_Wrist_FE() const;
+ const Vec3d& getCOM_Shoulder_AA() const;
+ const Vec3d& getCOM_Shoulder_FE() const;
+ const Vec3d& getCOM_Humerus_R() const;
+ const Vec3d& getCOM_Elbow_FE() const;
+ const Vec3d& getCOM_Wrist_R() const;
+ const Vec3d& getCOM_Wrist_FE() const;
+ SCALAR getTotalMass() const;
+
+ private:
+
+ IMatrix tensor_Shoulder_AA;
+ IMatrix tensor_Shoulder_FE;
+ IMatrix tensor_Humerus_R;
+ IMatrix tensor_Elbow_FE;
+ IMatrix tensor_Wrist_R;
+ IMatrix tensor_Wrist_FE;
+ Vec3d com_Shoulder_AA;
+ Vec3d com_Shoulder_FE;
+ Vec3d com_Humerus_R;
+ Vec3d com_Elbow_FE;
+ Vec3d com_Wrist_R;
+ Vec3d com_Wrist_FE;
+};
+
+template <typename TRAIT>
+inline InertiaProperties<TRAIT>::~InertiaProperties() {}
+
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Shoulder_AA() const {
+ return this->tensor_Shoulder_AA;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Shoulder_FE() const {
+ return this->tensor_Shoulder_FE;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Humerus_R() const {
+ return this->tensor_Humerus_R;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Elbow_FE() const {
+ return this->tensor_Elbow_FE;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Wrist_R() const {
+ return this->tensor_Wrist_R;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Wrist_FE() const {
+ return this->tensor_Wrist_FE;
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_Shoulder_AA() const {
+ return this->tensor_Shoulder_AA.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_Shoulder_FE() const {
+ return this->tensor_Shoulder_FE.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_Humerus_R() const {
+ return this->tensor_Humerus_R.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_Elbow_FE() const {
+ return this->tensor_Elbow_FE.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_Wrist_R() const {
+ return this->tensor_Wrist_R.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_Wrist_FE() const {
+ return this->tensor_Wrist_FE.getMass();
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Shoulder_AA() const {
+ return this->com_Shoulder_AA;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Shoulder_FE() const {
+ return this->com_Shoulder_FE;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Humerus_R() const {
+ return this->com_Humerus_R;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Elbow_FE() const {
+ return this->com_Elbow_FE;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Wrist_R() const {
+ return this->com_Wrist_R;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Wrist_FE() const {
+ return this->com_Wrist_FE;
+}
+
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getTotalMass() const {
+ return 2.688 + 2.5924191 + 2.327 + 1.7423722 + 2.1032 + 1.547475;
+}
+
+} // namespace tpl
+
+using InertiaProperties = tpl::InertiaProperties<rbd::DoubleTrait>;
+
+}
+}
+}
+
+#include "inertia_properties.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/inertia_properties.impl.h b/ct_models/include/ct/models/HyA/generated/inertia_properties.impl.h
new file mode 100644
index 0000000..902592f
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/inertia_properties.impl.h
@@ -0,0 +1,77 @@
+template <typename TRAIT>
+iit::ct_HyA::dyn::tpl::InertiaProperties<TRAIT>::InertiaProperties()
+{
+ com_Shoulder_AA = iit::rbd::Vector3d(-1.96E-4,-0.003091,0.17763901).cast<SCALAR>();
+ tensor_Shoulder_AA.fill(
+ SCALAR(2.688),
+ com_Shoulder_AA,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.08980614),
+ SCALAR(0.08953714),
+ SCALAR(0.007629),
+ SCALAR(6.13E-4),
+ SCALAR(4.91221E-4),
+ SCALAR(-5.849322E-4)) );
+
+ com_Shoulder_FE = iit::rbd::Vector3d(0.113166206,-0.023382,0.003832).cast<SCALAR>();
+ tensor_Shoulder_FE.fill(
+ SCALAR(2.5924191),
+ com_Shoulder_FE,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.039002996),
+ SCALAR(0.08585553),
+ SCALAR(0.051393528),
+ SCALAR(-0.0055279857),
+ SCALAR(0.022851627),
+ SCALAR(0.002752)) );
+
+ com_Humerus_R = iit::rbd::Vector3d(-0.0023899989,0.00618,0.278456).cast<SCALAR>();
+ tensor_Humerus_R.fill(
+ SCALAR(2.327),
+ com_Humerus_R,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.20236395),
+ SCALAR(0.20986895),
+ SCALAR(0.010329999),
+ SCALAR(-5.399998E-5),
+ SCALAR(0.011715295),
+ SCALAR(0.0037997814)) );
+
+ com_Elbow_FE = iit::rbd::Vector3d(0.09200001,-0.005,8.7422736E-10).cast<SCALAR>();
+ tensor_Elbow_FE.fill(
+ SCALAR(1.7423722),
+ com_Elbow_FE,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.081661),
+ SCALAR(0.01828449),
+ SCALAR(0.09570849),
+ SCALAR(-0.0036857284),
+ SCALAR(2.1200017E-4),
+ SCALAR(0.0022920002)) );
+
+ com_Wrist_R = iit::rbd::Vector3d(0.0,0.0,0.0275).cast<SCALAR>();
+ tensor_Wrist_R.fill(
+ SCALAR(2.1032),
+ com_Wrist_R,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.019432),
+ SCALAR(0.029115),
+ SCALAR(0.011046),
+ SCALAR(0.001387),
+ SCALAR(0.012652),
+ SCALAR(0.001243)) );
+
+ com_Wrist_FE = iit::rbd::Vector3d(0.025,0.0,0.0).cast<SCALAR>();
+ tensor_Wrist_FE.fill(
+ SCALAR(1.547475),
+ com_Wrist_FE,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.010737),
+ SCALAR(0.003227),
+ SCALAR(0.009277),
+ SCALAR(-1.98E-4),
+ SCALAR(-1.5E-5),
+ SCALAR(8.29E-4)) );
+
+}
+
diff --git a/ct_models/include/ct/models/HyA/generated/inverse_dynamics.cpp b/ct_models/include/ct/models/HyA/generated/inverse_dynamics.cpp
new file mode 100644
index 0000000..a044f6a
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/inverse_dynamics.cpp
@@ -0,0 +1 @@
+//Placeholder, do not delete
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/generated/inverse_dynamics.h b/ct_models/include/ct/models/HyA/generated/inverse_dynamics.h
new file mode 100644
index 0000000..b8dfb35
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/inverse_dynamics.h
@@ -0,0 +1,240 @@
+#ifndef IIT_CT_HYA_INVERSE_DYNAMICS_H_
+#define IIT_CT_HYA_INVERSE_DYNAMICS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+#include "inertia_properties.h"
+#include "transforms.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_HyA {
+namespace dyn {
+
+/**
+ * The Inverse Dynamics routine for the robot ct_HyA.
+ *
+ * In addition to the full Newton-Euler algorithm, specialized versions to compute
+ * only certain terms are provided.
+ * The parameters common to most of the methods are the joint status vector \c q, the
+ * joint velocity vector \c qd and the acceleration vector \c qdd.
+ *
+ * Additional overloaded methods are provided without the \c q parameter. These
+ * methods use the current configuration of the robot; they are provided for the
+ * sake of efficiency, in case the motion transforms of the robot have already
+ * been updated elsewhere with the most recent configuration (eg by a call to
+ * setJointStatus()), so that it is useless to compute them again.
+ *
+ * Whenever present, the external forces parameter is a set of external
+ * wrenches acting on the robot links. Each wrench must be expressed in
+ * the reference frame of the link it is excerted on.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class InverseDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef iit::rbd::Core<SCALAR> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> InertiaMatrix;
+ typedef iit::ct_HyA::tpl::JointState<SCALAR> JointState;
+ typedef typename CoreS::Matrix66 Matrix66s;
+ typedef iit::ct_HyA::tpl::MotionTransforms<TRAIT> MTransforms;
+ typedef InertiaProperties<TRAIT> IProperties;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_HyA, which will be used by this instance
+ * to compute inverse-dynamics.
+ */
+ InverseDynamics(IProperties& in, MTransforms& tr);
+
+ /** \name Inverse dynamics
+ * The full Newton-Euler algorithm for the inverse dynamics of this robot.
+ *
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */
+ ///@{
+ void id(
+ JointState& jForces,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ void id(
+ JointState& jForces,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** \name Gravity terms
+ * The joint forces (linear or rotational) required to compensate
+ * for the effect of gravity, in a specific configuration.
+ */
+ ///@{
+ void G_terms(JointState& jForces, const JointState& q);
+ void G_terms(JointState& jForces);
+ ///@}
+
+ /** \name Centrifugal and Coriolis terms
+ * The forces (linear or rotational) acting on the joints due to centrifugal and
+ * Coriolis effects, for a specific configuration.
+ */
+ ///@{
+ void C_terms(JointState& jForces, const JointState& q, const JointState& qd);
+ void C_terms(JointState& jForces, const JointState& qd);
+ ///@}
+ /** Updates all the kinematics transforms used by the inverse dynamics routine. */
+ void setJointStatus(const JointState& q) const;
+
+public:
+ /** \name Getters
+ * These functions return various spatial quantities used internally
+ * by the inverse dynamics routines, like the spatial acceleration
+ * of the links.
+ *
+ * The getters can be useful to retrieve the additional data that is not
+ * returned explicitly by the inverse dynamics routines even though it
+ * is computed. For example, after a call to the inverse dynamics,
+ * the spatial velocity of all the links has been determined and
+ * can be accessed.
+ *
+ * However, beware that certain routines might not use some of the
+ * spatial quantities, which therefore would retain their last value
+ * without being updated nor reset (for example, the spatial velocity
+ * of the links is unaffected by the computation of the gravity terms).
+ */
+ ///@{
+ const Velocity& getVelocity_Shoulder_AA() const { return Shoulder_AA_v; }
+ const Acceleration& getAcceleration_Shoulder_AA() const { return Shoulder_AA_a; }
+ const Force& getForce_Shoulder_AA() const { return Shoulder_AA_f; }
+ const Velocity& getVelocity_Shoulder_FE() const { return Shoulder_FE_v; }
+ const Acceleration& getAcceleration_Shoulder_FE() const { return Shoulder_FE_a; }
+ const Force& getForce_Shoulder_FE() const { return Shoulder_FE_f; }
+ const Velocity& getVelocity_Humerus_R() const { return Humerus_R_v; }
+ const Acceleration& getAcceleration_Humerus_R() const { return Humerus_R_a; }
+ const Force& getForce_Humerus_R() const { return Humerus_R_f; }
+ const Velocity& getVelocity_Elbow_FE() const { return Elbow_FE_v; }
+ const Acceleration& getAcceleration_Elbow_FE() const { return Elbow_FE_a; }
+ const Force& getForce_Elbow_FE() const { return Elbow_FE_f; }
+ const Velocity& getVelocity_Wrist_R() const { return Wrist_R_v; }
+ const Acceleration& getAcceleration_Wrist_R() const { return Wrist_R_a; }
+ const Force& getForce_Wrist_R() const { return Wrist_R_f; }
+ const Velocity& getVelocity_Wrist_FE() const { return Wrist_FE_v; }
+ const Acceleration& getAcceleration_Wrist_FE() const { return Wrist_FE_a; }
+ const Force& getForce_Wrist_FE() const { return Wrist_FE_f; }
+ ///@}
+protected:
+ void firstPass(const JointState& qd, const JointState& qdd, const ExtForces& fext);
+ void secondPass(JointState& jForces);
+
+private:
+ IProperties* inertiaProps;
+ MTransforms* xm;
+private:
+ Matrix66s vcross; // support variable
+ // Link 'Shoulder_AA' :
+ const InertiaMatrix& Shoulder_AA_I;
+ Velocity Shoulder_AA_v;
+ Acceleration Shoulder_AA_a;
+ Force Shoulder_AA_f;
+ // Link 'Shoulder_FE' :
+ const InertiaMatrix& Shoulder_FE_I;
+ Velocity Shoulder_FE_v;
+ Acceleration Shoulder_FE_a;
+ Force Shoulder_FE_f;
+ // Link 'Humerus_R' :
+ const InertiaMatrix& Humerus_R_I;
+ Velocity Humerus_R_v;
+ Acceleration Humerus_R_a;
+ Force Humerus_R_f;
+ // Link 'Elbow_FE' :
+ const InertiaMatrix& Elbow_FE_I;
+ Velocity Elbow_FE_v;
+ Acceleration Elbow_FE_a;
+ Force Elbow_FE_f;
+ // Link 'Wrist_R' :
+ const InertiaMatrix& Wrist_R_I;
+ Velocity Wrist_R_v;
+ Acceleration Wrist_R_a;
+ Force Wrist_R_f;
+ // Link 'Wrist_FE' :
+ const InertiaMatrix& Wrist_FE_I;
+ Velocity Wrist_FE_v;
+ Acceleration Wrist_FE_a;
+ Force Wrist_FE_f;
+
+
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::setJointStatus(const JointState& q) const
+{
+ (xm->fr_Shoulder_AA_X_fr_HyABase)(q);
+ (xm->fr_Shoulder_FE_X_fr_Shoulder_AA)(q);
+ (xm->fr_Humerus_R_X_fr_Shoulder_FE)(q);
+ (xm->fr_Elbow_FE_X_fr_Humerus_R)(q);
+ (xm->fr_Wrist_R_X_fr_Elbow_FE)(q);
+ (xm->fr_Wrist_FE_X_fr_Wrist_R)(q);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::G_terms(JointState& jForces, const JointState& q)
+{
+ setJointStatus(q);
+ G_terms(jForces);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::C_terms(JointState& jForces, const JointState& q, const JointState& qd)
+{
+ setJointStatus(q);
+ C_terms(jForces, qd);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id(
+ JointState& jForces,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ setJointStatus(q);
+ id(jForces, qd, qdd, fext);
+}
+
+} // namespace tpl
+
+typedef tpl::InverseDynamics<rbd::DoubleTrait> InverseDynamics;
+
+}
+}
+
+}
+
+#include "inverse_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/inverse_dynamics.impl.h b/ct_models/include/ct/models/HyA/generated/inverse_dynamics.impl.h
new file mode 100644
index 0000000..70d9646
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/inverse_dynamics.impl.h
@@ -0,0 +1,216 @@
+
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::ExtForces
+iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::InverseDynamics(IProperties& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ xm( & transforms ),
+ Shoulder_AA_I(inertiaProps->getTensor_Shoulder_AA() ),
+ Shoulder_FE_I(inertiaProps->getTensor_Shoulder_FE() ),
+ Humerus_R_I(inertiaProps->getTensor_Humerus_R() ),
+ Elbow_FE_I(inertiaProps->getTensor_Elbow_FE() ),
+ Wrist_R_I(inertiaProps->getTensor_Wrist_R() ),
+ Wrist_FE_I(inertiaProps->getTensor_Wrist_FE() )
+ {
+#ifndef EIGEN_NO_DEBUG
+ std::cout << "Robot ct_HyA, InverseDynamics<TRAIT>::InverseDynamics()" << std::endl;
+ std::cout << "Compiled with Eigen debug active" << std::endl;
+#endif
+ Shoulder_AA_v.setZero();
+ Shoulder_FE_v.setZero();
+ Humerus_R_v.setZero();
+ Elbow_FE_v.setZero();
+ Wrist_R_v.setZero();
+ Wrist_FE_v.setZero();
+
+ vcross.setZero();
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::id(
+ JointState& jForces,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ firstPass(qd, qdd, fext);
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::G_terms(JointState& jForces)
+{
+ // Link 'Shoulder_AA'
+ Shoulder_AA_a = (xm->fr_Shoulder_AA_X_fr_HyABase).col(iit::rbd::LZ) * SCALAR(iit::rbd::g);
+ Shoulder_AA_f = Shoulder_AA_I * Shoulder_AA_a;
+ // Link 'Shoulder_FE'
+ Shoulder_FE_a = (xm->fr_Shoulder_FE_X_fr_Shoulder_AA) * Shoulder_AA_a;
+ Shoulder_FE_f = Shoulder_FE_I * Shoulder_FE_a;
+ // Link 'Humerus_R'
+ Humerus_R_a = (xm->fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_a;
+ Humerus_R_f = Humerus_R_I * Humerus_R_a;
+ // Link 'Elbow_FE'
+ Elbow_FE_a = (xm->fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_a;
+ Elbow_FE_f = Elbow_FE_I * Elbow_FE_a;
+ // Link 'Wrist_R'
+ Wrist_R_a = (xm->fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_a;
+ Wrist_R_f = Wrist_R_I * Wrist_R_a;
+ // Link 'Wrist_FE'
+ Wrist_FE_a = (xm->fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_a;
+ Wrist_FE_f = Wrist_FE_I * Wrist_FE_a;
+
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::C_terms(JointState& jForces, const JointState& qd)
+{
+ // Link 'Shoulder_AA'
+ Shoulder_AA_v(iit::rbd::AZ) = qd(SAA); // Shoulder_AA_v = vJ, for the first link of a fixed base robot
+
+ Shoulder_AA_f = iit::rbd::vxIv(qd(SAA), Shoulder_AA_I);
+
+ // Link 'Shoulder_FE'
+ Shoulder_FE_v = ((xm->fr_Shoulder_FE_X_fr_Shoulder_AA) * Shoulder_AA_v);
+ Shoulder_FE_v(iit::rbd::AZ) += qd(SFE);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Shoulder_FE_v, vcross);
+
+ Shoulder_FE_a = (vcross.col(iit::rbd::AZ) * qd(SFE));
+
+ Shoulder_FE_f = Shoulder_FE_I * Shoulder_FE_a + iit::rbd::vxIv(Shoulder_FE_v, Shoulder_FE_I);
+
+ // Link 'Humerus_R'
+ Humerus_R_v = ((xm->fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_v);
+ Humerus_R_v(iit::rbd::AZ) += qd(HR);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Humerus_R_v, vcross);
+
+ Humerus_R_a = (xm->fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_a + vcross.col(iit::rbd::AZ) * qd(HR);
+
+ Humerus_R_f = Humerus_R_I * Humerus_R_a + iit::rbd::vxIv(Humerus_R_v, Humerus_R_I);
+
+ // Link 'Elbow_FE'
+ Elbow_FE_v = ((xm->fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_v);
+ Elbow_FE_v(iit::rbd::AZ) += qd(EFE);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Elbow_FE_v, vcross);
+
+ Elbow_FE_a = (xm->fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_a + vcross.col(iit::rbd::AZ) * qd(EFE);
+
+ Elbow_FE_f = Elbow_FE_I * Elbow_FE_a + iit::rbd::vxIv(Elbow_FE_v, Elbow_FE_I);
+
+ // Link 'Wrist_R'
+ Wrist_R_v = ((xm->fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_v);
+ Wrist_R_v(iit::rbd::AZ) += qd(WR);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Wrist_R_v, vcross);
+
+ Wrist_R_a = (xm->fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_a + vcross.col(iit::rbd::AZ) * qd(WR);
+
+ Wrist_R_f = Wrist_R_I * Wrist_R_a + iit::rbd::vxIv(Wrist_R_v, Wrist_R_I);
+
+ // Link 'Wrist_FE'
+ Wrist_FE_v = ((xm->fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_v);
+ Wrist_FE_v(iit::rbd::AZ) += qd(WFE);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Wrist_FE_v, vcross);
+
+ Wrist_FE_a = (xm->fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_a + vcross.col(iit::rbd::AZ) * qd(WFE);
+
+ Wrist_FE_f = Wrist_FE_I * Wrist_FE_a + iit::rbd::vxIv(Wrist_FE_v, Wrist_FE_I);
+
+
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::firstPass(const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ // First pass, link 'Shoulder_AA'
+ Shoulder_AA_a = (xm->fr_Shoulder_AA_X_fr_HyABase).col(iit::rbd::LZ) * SCALAR(iit::rbd::g);
+ Shoulder_AA_a(iit::rbd::AZ) += qdd(SAA);
+ Shoulder_AA_v(iit::rbd::AZ) = qd(SAA); // Shoulder_AA_v = vJ, for the first link of a fixed base robot
+
+ Shoulder_AA_f = Shoulder_AA_I * Shoulder_AA_a + iit::rbd::vxIv(qd(SAA), Shoulder_AA_I) - fext[SHOULDER_AA];
+
+ // First pass, link 'Shoulder_FE'
+ Shoulder_FE_v = ((xm->fr_Shoulder_FE_X_fr_Shoulder_AA) * Shoulder_AA_v);
+ Shoulder_FE_v(iit::rbd::AZ) += qd(SFE);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Shoulder_FE_v, vcross);
+
+ Shoulder_FE_a = (xm->fr_Shoulder_FE_X_fr_Shoulder_AA) * Shoulder_AA_a + vcross.col(iit::rbd::AZ) * qd(SFE);
+ Shoulder_FE_a(iit::rbd::AZ) += qdd(SFE);
+
+ Shoulder_FE_f = Shoulder_FE_I * Shoulder_FE_a + iit::rbd::vxIv(Shoulder_FE_v, Shoulder_FE_I) - fext[SHOULDER_FE];
+
+ // First pass, link 'Humerus_R'
+ Humerus_R_v = ((xm->fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_v);
+ Humerus_R_v(iit::rbd::AZ) += qd(HR);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Humerus_R_v, vcross);
+
+ Humerus_R_a = (xm->fr_Humerus_R_X_fr_Shoulder_FE) * Shoulder_FE_a + vcross.col(iit::rbd::AZ) * qd(HR);
+ Humerus_R_a(iit::rbd::AZ) += qdd(HR);
+
+ Humerus_R_f = Humerus_R_I * Humerus_R_a + iit::rbd::vxIv(Humerus_R_v, Humerus_R_I) - fext[HUMERUS_R];
+
+ // First pass, link 'Elbow_FE'
+ Elbow_FE_v = ((xm->fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_v);
+ Elbow_FE_v(iit::rbd::AZ) += qd(EFE);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Elbow_FE_v, vcross);
+
+ Elbow_FE_a = (xm->fr_Elbow_FE_X_fr_Humerus_R) * Humerus_R_a + vcross.col(iit::rbd::AZ) * qd(EFE);
+ Elbow_FE_a(iit::rbd::AZ) += qdd(EFE);
+
+ Elbow_FE_f = Elbow_FE_I * Elbow_FE_a + iit::rbd::vxIv(Elbow_FE_v, Elbow_FE_I) - fext[ELBOW_FE];
+
+ // First pass, link 'Wrist_R'
+ Wrist_R_v = ((xm->fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_v);
+ Wrist_R_v(iit::rbd::AZ) += qd(WR);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Wrist_R_v, vcross);
+
+ Wrist_R_a = (xm->fr_Wrist_R_X_fr_Elbow_FE) * Elbow_FE_a + vcross.col(iit::rbd::AZ) * qd(WR);
+ Wrist_R_a(iit::rbd::AZ) += qdd(WR);
+
+ Wrist_R_f = Wrist_R_I * Wrist_R_a + iit::rbd::vxIv(Wrist_R_v, Wrist_R_I) - fext[WRIST_R];
+
+ // First pass, link 'Wrist_FE'
+ Wrist_FE_v = ((xm->fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_v);
+ Wrist_FE_v(iit::rbd::AZ) += qd(WFE);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(Wrist_FE_v, vcross);
+
+ Wrist_FE_a = (xm->fr_Wrist_FE_X_fr_Wrist_R) * Wrist_R_a + vcross.col(iit::rbd::AZ) * qd(WFE);
+ Wrist_FE_a(iit::rbd::AZ) += qdd(WFE);
+
+ Wrist_FE_f = Wrist_FE_I * Wrist_FE_a + iit::rbd::vxIv(Wrist_FE_v, Wrist_FE_I) - fext[WRIST_FE];
+
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::InverseDynamics<TRAIT>::secondPass(JointState& jForces)
+{
+ // Link 'Wrist_FE'
+ jForces(WFE) = Wrist_FE_f(iit::rbd::AZ);
+ Wrist_R_f += xm->fr_Wrist_FE_X_fr_Wrist_R.transpose() * Wrist_FE_f;
+ // Link 'Wrist_R'
+ jForces(WR) = Wrist_R_f(iit::rbd::AZ);
+ Elbow_FE_f += xm->fr_Wrist_R_X_fr_Elbow_FE.transpose() * Wrist_R_f;
+ // Link 'Elbow_FE'
+ jForces(EFE) = Elbow_FE_f(iit::rbd::AZ);
+ Humerus_R_f += xm->fr_Elbow_FE_X_fr_Humerus_R.transpose() * Elbow_FE_f;
+ // Link 'Humerus_R'
+ jForces(HR) = Humerus_R_f(iit::rbd::AZ);
+ Shoulder_FE_f += xm->fr_Humerus_R_X_fr_Shoulder_FE.transpose() * Humerus_R_f;
+ // Link 'Shoulder_FE'
+ jForces(SFE) = Shoulder_FE_f(iit::rbd::AZ);
+ Shoulder_AA_f += xm->fr_Shoulder_FE_X_fr_Shoulder_AA.transpose() * Shoulder_FE_f;
+ // Link 'Shoulder_AA'
+ jForces(SAA) = Shoulder_AA_f(iit::rbd::AZ);
+}
diff --git a/ct_models/include/ct/models/HyA/generated/jacobians.cpp b/ct_models/include/ct/models/HyA/generated/jacobians.cpp
new file mode 100644
index 0000000..a044f6a
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/jacobians.cpp
@@ -0,0 +1 @@
+//Placeholder, do not delete
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/generated/jacobians.h b/ct_models/include/ct/models/HyA/generated/jacobians.h
new file mode 100644
index 0000000..cf08a04
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/jacobians.h
@@ -0,0 +1,189 @@
+#ifndef CT_HYA_JACOBIANS_H_
+#define CT_HYA_JACOBIANS_H_
+
+#include <iit/rbd/TransformsBase.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "declarations.h"
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_HyA {
+
+template<typename SCALAR, int COLS, class M>
+class JacobianT : public iit::rbd::JacobianBase<tpl::JointState<SCALAR>, COLS, M>
+{};
+
+namespace tpl{
+
+/**
+ *
+ */
+template <typename TRAIT>
+class Jacobians {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+
+ class Type_fr_HyABase_J_fr_ee : public JacobianT<SCALAR, 6, Type_fr_HyABase_J_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_ee();
+ const Type_fr_HyABase_J_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Wrist_FE_COM : public JacobianT<SCALAR, 6, Type_fr_HyABase_J_fr_Wrist_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Wrist_FE_COM();
+ const Type_fr_HyABase_J_fr_Wrist_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Wrist_FE : public JacobianT<SCALAR, 6, Type_fr_HyABase_J_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Wrist_FE();
+ const Type_fr_HyABase_J_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Wrist_R_COM : public JacobianT<SCALAR, 5, Type_fr_HyABase_J_fr_Wrist_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Wrist_R_COM();
+ const Type_fr_HyABase_J_fr_Wrist_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Wrist_R : public JacobianT<SCALAR, 5, Type_fr_HyABase_J_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Wrist_R();
+ const Type_fr_HyABase_J_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Wrist_R_CTR : public JacobianT<SCALAR, 5, Type_fr_HyABase_J_fr_Wrist_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Wrist_R_CTR();
+ const Type_fr_HyABase_J_fr_Wrist_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Elbow_FE_COM : public JacobianT<SCALAR, 4, Type_fr_HyABase_J_fr_Elbow_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Elbow_FE_COM();
+ const Type_fr_HyABase_J_fr_Elbow_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Elbow_FE : public JacobianT<SCALAR, 4, Type_fr_HyABase_J_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Elbow_FE();
+ const Type_fr_HyABase_J_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Elbow_FE_CTR : public JacobianT<SCALAR, 4, Type_fr_HyABase_J_fr_Elbow_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Elbow_FE_CTR();
+ const Type_fr_HyABase_J_fr_Elbow_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Humerus_R_COM : public JacobianT<SCALAR, 3, Type_fr_HyABase_J_fr_Humerus_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Humerus_R_COM();
+ const Type_fr_HyABase_J_fr_Humerus_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Humerus_R : public JacobianT<SCALAR, 3, Type_fr_HyABase_J_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Humerus_R();
+ const Type_fr_HyABase_J_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Humerus_R_CTR : public JacobianT<SCALAR, 3, Type_fr_HyABase_J_fr_Humerus_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Humerus_R_CTR();
+ const Type_fr_HyABase_J_fr_Humerus_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Shoulder_AA_CTR : public JacobianT<SCALAR, 1, Type_fr_HyABase_J_fr_Shoulder_AA_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Shoulder_AA_CTR();
+ const Type_fr_HyABase_J_fr_Shoulder_AA_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_J_fr_Shoulder_FE_CTR : public JacobianT<SCALAR, 2, Type_fr_HyABase_J_fr_Shoulder_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_J_fr_Shoulder_FE_CTR();
+ const Type_fr_HyABase_J_fr_Shoulder_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ public:
+ Jacobians();
+ void updateParameters();
+ public:
+ Type_fr_HyABase_J_fr_ee fr_HyABase_J_fr_ee;
+ Type_fr_HyABase_J_fr_Wrist_FE_COM fr_HyABase_J_fr_Wrist_FE_COM;
+ Type_fr_HyABase_J_fr_Wrist_FE fr_HyABase_J_fr_Wrist_FE;
+ Type_fr_HyABase_J_fr_Wrist_R_COM fr_HyABase_J_fr_Wrist_R_COM;
+ Type_fr_HyABase_J_fr_Wrist_R fr_HyABase_J_fr_Wrist_R;
+ Type_fr_HyABase_J_fr_Wrist_R_CTR fr_HyABase_J_fr_Wrist_R_CTR;
+ Type_fr_HyABase_J_fr_Elbow_FE_COM fr_HyABase_J_fr_Elbow_FE_COM;
+ Type_fr_HyABase_J_fr_Elbow_FE fr_HyABase_J_fr_Elbow_FE;
+ Type_fr_HyABase_J_fr_Elbow_FE_CTR fr_HyABase_J_fr_Elbow_FE_CTR;
+ Type_fr_HyABase_J_fr_Humerus_R_COM fr_HyABase_J_fr_Humerus_R_COM;
+ Type_fr_HyABase_J_fr_Humerus_R fr_HyABase_J_fr_Humerus_R;
+ Type_fr_HyABase_J_fr_Humerus_R_CTR fr_HyABase_J_fr_Humerus_R_CTR;
+ Type_fr_HyABase_J_fr_Shoulder_AA_CTR fr_HyABase_J_fr_Shoulder_AA_CTR;
+ Type_fr_HyABase_J_fr_Shoulder_FE_CTR fr_HyABase_J_fr_Shoulder_FE_CTR;
+
+ protected:
+
+};
+
+} //namespace tpl
+
+using Jacobians = tpl::Jacobians<rbd::DoubleTrait>;
+
+#include "jacobians.impl.h"
+
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/jacobians.impl.h b/ct_models/include/ct/models/HyA/generated/jacobians.impl.h
new file mode 100644
index 0000000..918f494
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/jacobians.impl.h
@@ -0,0 +1,722 @@
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Jacobians
+ ()
+ :
+ fr_HyABase_J_fr_ee(),
+ fr_HyABase_J_fr_Wrist_FE_COM(),
+ fr_HyABase_J_fr_Wrist_FE(),
+ fr_HyABase_J_fr_Wrist_R_COM(),
+ fr_HyABase_J_fr_Wrist_R(),
+ fr_HyABase_J_fr_Wrist_R_CTR(),
+ fr_HyABase_J_fr_Elbow_FE_COM(),
+ fr_HyABase_J_fr_Elbow_FE(),
+ fr_HyABase_J_fr_Elbow_FE_CTR(),
+ fr_HyABase_J_fr_Humerus_R_COM(),
+ fr_HyABase_J_fr_Humerus_R(),
+ fr_HyABase_J_fr_Humerus_R_CTR(),
+ fr_HyABase_J_fr_Shoulder_AA_CTR(),
+ fr_HyABase_J_fr_Shoulder_FE_CTR()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::tpl::Jacobians<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_ee::Type_fr_HyABase_J_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_ee& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_ee::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ sin__q_WR__ = TRAIT::sin( jState(WR));
+ sin__q_WFE__ = TRAIT::sin( jState(WFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+ cos__q_WR__ = TRAIT::cos( jState(WR));
+ cos__q_WFE__ = TRAIT::cos( jState(WFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,4) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,5) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = (((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((((((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * sin__q_WFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__)) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.03 * sin__q_HR__) * cos__q_SAA__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * cos__q_WR__)) + (((((- 0.03 * cos__q_EFE__) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * cos__q_WFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = ((((((((((((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) - ((( 0.03 * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) - ((( 0.02075 * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.02075 * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = ((((((((((((((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = ((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = ((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((((- 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,0) = ((((((((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((- 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = (((((((((((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * sin__q_WFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__)) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.03 * sin__q_HR__) * sin__q_SAA__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * cos__q_WR__)) + (((((- 0.03 * cos__q_EFE__) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * cos__q_WFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = ((((((((((((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((- 0.03 * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) - ((( 0.02075 * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.02075 * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ((((((((((((((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = ((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = ((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 0.03 * cos__q_HR__) * cos__q_SAA__) - ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(5,1) = ((((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SFE__) - (( 0.03 * sin__q_EFE__) * cos__q_SFE__)) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) - (( 0.02075 * sin__q_EFE__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.03 * sin__q_HR__) * sin__q_SFE__) * sin__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_SFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * cos__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) * cos__q_WFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SFE__));
+ (*this)(5,2) = (((((((((- 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((( 0.03 * cos__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (( 0.02075 * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) - (((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((((((- 0.03 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.296 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((((((- 0.03 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) - (( 0.02075 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__));
+ (*this)(5,5) = (((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + (((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + ((((- 0.03 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_FE_COM::Type_fr_HyABase_J_fr_Wrist_FE_COM()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_FE_COM& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_FE_COM::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ sin__q_WR__ = TRAIT::sin( jState(WR));
+ sin__q_WFE__ = TRAIT::sin( jState(WFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+ cos__q_WR__ = TRAIT::cos( jState(WR));
+ cos__q_WFE__ = TRAIT::cos( jState(WFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,4) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,5) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((- 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.07876 * cos__q_HR__) * cos__q_SAA__) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.01063 * cos__q_HR__) * cos__q_SAA__) - ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = ((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) + (((((((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * cos__q_SFE__) * sin__q_WFE__) + (((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * cos__q_SFE__) * cos__q_WFE__)) - ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * cos__q_SFE__)) * cos__q_WR__)) + (((((- 0.01063 * cos__q_EFE__) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * cos__q_WFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = (((((((((((((((- 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((- 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + ((((((((( 0.07876 * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.07876 * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.01063 * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + (((((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((- 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = ((((((((((((((((((- 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((((((((- 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((- 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = ((((((((((((- 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((- 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((- 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,0) = (((((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = ((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) + (((((((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * cos__q_SFE__) * sin__q_WFE__) + (((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * cos__q_SFE__) * cos__q_WFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * cos__q_SFE__)) * cos__q_WR__)) + (((((- 0.01063 * cos__q_EFE__) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * cos__q_WFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = (((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - (((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) + ((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - (((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) + (((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.07876 * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( 0.07876 * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( 0.01063 * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + (((((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - (((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ((((((((((((((((((- 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((((((( 0.07876 * cos__q_HR__) * cos__q_SAA__) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.01063 * cos__q_HR__) * cos__q_SAA__) - ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = ((((((((((((- 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.01063 * cos__q_HR__) * cos__q_SAA__) - ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) + ((((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((- 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(5,1) = (((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SFE__) + (( 0.07876 * sin__q_EFE__) * cos__q_SFE__)) * sin__q_WFE__) + ((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SFE__) + (( 0.01063 * sin__q_EFE__) * cos__q_SFE__)) * cos__q_WFE__)) + (((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SFE__)) - (( 0.02075 * sin__q_EFE__) * cos__q_SFE__)) * sin__q_WR__) + ((((((( 0.07876 * sin__q_HR__) * sin__q_SFE__) * sin__q_WFE__) + ((( 0.01063 * sin__q_HR__) * sin__q_SFE__) * cos__q_WFE__)) + (((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SFE__)) + (( 8.4E-4 * sin__q_EFE__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.01063 * cos__q_EFE__) * cos__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) * sin__q_WFE__)) + ((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__) - (( 0.07876 * cos__q_EFE__) * cos__q_SFE__)) * cos__q_WFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SFE__));
+ (*this)(5,2) = ((((((((((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.07876 * cos__q_HR__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.01063 * cos__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) - (((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) + (((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((((((((( 0.07876 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + (((( 0.01063 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + ((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.01063 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__)) + (((( 0.07876 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.296 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = (((((((( 0.07876 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.01063 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((((((( 0.07876 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + (((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__));
+ (*this)(5,5) = (((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.01063 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.07876 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.01063 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.07876 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.07876 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (((( 0.01063 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_FE::Type_fr_HyABase_J_fr_Wrist_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_FE& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_FE::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ sin__q_WR__ = TRAIT::sin( jState(WR));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+ cos__q_WR__ = TRAIT::cos( jState(WR));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,4) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,5) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) - (((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * cos__q_SFE__) * cos__q_WR__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = ((((((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((( 0.02075 * sin__q_HR__) * sin__q_SAA__) - ((( 0.02075 * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) + (((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) - (((( 0.296 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = (((((((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) - (((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * cos__q_SFE__) * cos__q_WR__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = ((((((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((- 0.02075 * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) - (((( 0.296 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,1) = ((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SFE__) - (( 0.02075 * sin__q_EFE__) * cos__q_SFE__)) * sin__q_WR__) - ((( 0.02075 * sin__q_HR__) * sin__q_SFE__) * cos__q_WR__)) - ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SFE__));
+ (*this)(5,2) = ((((((- 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((( 0.02075 * cos__q_HR__) * cos__q_SFE__) * cos__q_WR__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((- 0.02075 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.296 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = (((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R_COM::Type_fr_HyABase_J_fr_Wrist_R_COM()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R_COM& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R_COM::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ sin__q_WR__ = TRAIT::sin( jState(WR));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+ cos__q_WR__ = TRAIT::cos( jState(WR));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,4) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = ((((((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__) + ((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) + ((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * cos__q_SFE__) - ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = (((((((((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + (((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = ((((((((((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((((- 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.08883 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = (((((((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = (((((((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__) + ((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * cos__q_SFE__)) * sin__q_WR__) + ((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * cos__q_SFE__) - ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = (((((((((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + (((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ((((((((((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((- 0.00261 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.08883 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,1) = ((((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SFE__) - (( 4.0E-4 * sin__q_EFE__) * cos__q_SFE__)) * sin__q_WR__) + (((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SFE__) + (( 0.00261 * sin__q_EFE__) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__)) + ((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_SFE__));
+ (*this)(5,2) = (((((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SFE__) * cos__q_WR__)) - ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (((((((- 4.0E-4 * cos__q_EFE__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((( 0.00261 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) - (( 0.08883 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.08883 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SFE__) - (( 0.00261 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + ((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R::Type_fr_HyABase_J_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,4) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,4) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((( 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = ((((( 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = ((((((- 0.112 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = (((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = ((((( 0.112 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ((((((- 0.112 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.112 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__));
+ (*this)(5,2) = (((- 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (((( 0.112 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R_CTR::Type_fr_HyABase_J_fr_Wrist_R_CTR()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,4) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R_CTR& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Wrist_R_CTR::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,4) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((( 0.204 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((((- 0.204 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.204 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.204 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = ((((( 0.204 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.204 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = ((((((- 0.204 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.204 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = ((((((- 0.204 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.204 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = (((((- 0.204 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.204 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = ((((( 0.204 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ((((((- 0.204 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.204 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_SFE__) - ((( 0.204 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__));
+ (*this)(5,2) = (((- 0.204 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (((( 0.204 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.204 * sin__q_EFE__) * sin__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE_COM::Type_fr_HyABase_J_fr_Elbow_FE_COM()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE_COM& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE_COM::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = ((((((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_HR__) - ( 0.00102 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) + ( 0.00102 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(3,1) = ((((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = (((((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) + ( 0.00102 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_HR__) - ( 0.00102 * sin__q_HR__)) * sin__q_SAA__));
+ (*this)(3,3) = ((((((( 0.1466 * cos__q_EFE__) - ( 0.01125 * sin__q_EFE__)) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = (((((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) + ( 0.00102 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(4,1) = ((((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = (((((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) + ( 0.00102 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(4,3) = ((((((( 0.1466 * cos__q_EFE__) - ( 0.01125 * sin__q_EFE__)) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.1466 * cos__q_EFE__) - ( 0.01125 * sin__q_EFE__)) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * sin__q_SFE__) + (((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_SFE__));
+ (*this)(5,2) = ((((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) - ( 0.00102 * cos__q_HR__)) * cos__q_SFE__);
+ (*this)(5,3) = (((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * sin__q_SFE__) + (((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE::Type_fr_HyABase_J_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = ((- 0.416 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = ((- 0.416 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,0) = (( 0.416 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = ((- 0.416 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(5,1) = ( 0.416 * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE_CTR::Type_fr_HyABase_J_fr_Elbow_FE_CTR()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE_CTR& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Elbow_FE_CTR::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_EFE__ = TRAIT::sin( jState(EFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+ cos__q_EFE__ = TRAIT::cos( jState(EFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((( 0.056 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((((- 0.056 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.056 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((- 0.056 * cos__q_EFE__) - 0.416) * cos__q_SAA__) * sin__q_SFE__) - (((( 0.056 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * cos__q_SFE__));
+ (*this)(3,2) = ((((( 0.056 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.056 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = ((((((- 0.056 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.056 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.056 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = ((((((- 0.056 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.056 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,1) = (((((- 0.056 * cos__q_EFE__) - 0.416) * sin__q_SAA__) * sin__q_SFE__) - (((( 0.056 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * cos__q_SFE__));
+ (*this)(4,2) = ((((( 0.056 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.056 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ((((((- 0.056 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.056 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.056 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_SFE__) - ((( 0.056 * sin__q_EFE__) * cos__q_HR__) * sin__q_SFE__));
+ (*this)(5,2) = (((- 0.056 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (((( 0.056 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.056 * sin__q_EFE__) * sin__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R_COM::Type_fr_HyABase_J_fr_Humerus_R_COM()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R_COM& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R_COM::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ sin__q_HR__ = TRAIT::sin( jState(HR));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+ cos__q_HR__ = TRAIT::cos( jState(HR));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - (( 0.08646 * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(3,1) = ((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * cos__q_SAA__) * cos__q_SFE__) - (( 0.08646 * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,2) = ((((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * sin__q_SAA__));
+ (*this)(4,0) = (((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + (( 0.08646 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(4,1) = ((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__) * cos__q_SFE__) - (( 0.08646 * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,2) = ((((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(5,1) = (((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SFE__) + ( 0.08646 * cos__q_SFE__));
+ (*this)(5,2) = (((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R::Type_fr_HyABase_J_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = ((- 0.112 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = ((- 0.112 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,0) = (( 0.112 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = ((- 0.112 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(5,1) = ( 0.112 * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R_CTR::Type_fr_HyABase_J_fr_Humerus_R_CTR()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R_CTR& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Humerus_R_CTR::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = ((- 0.264 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = ((- 0.264 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,0) = (( 0.264 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = ((- 0.264 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(5,1) = ( 0.264 * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Shoulder_AA_CTR::Type_fr_HyABase_J_fr_Shoulder_AA_CTR()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(3,0) = 0;
+ (*this)(4,0) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Shoulder_AA_CTR& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Shoulder_AA_CTR::update(const JState& jState) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Shoulder_FE_CTR::Type_fr_HyABase_J_fr_Shoulder_FE_CTR()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Shoulder_FE_CTR& iit::ct_HyA::tpl::Jacobians<TRAIT>::Type_fr_HyABase_J_fr_Shoulder_FE_CTR::update(const JState& jState) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( jState(SAA));
+ sin__q_SFE__ = TRAIT::sin( jState(SFE));
+ cos__q_SAA__ = TRAIT::cos( jState(SAA));
+ cos__q_SFE__ = TRAIT::cos( jState(SFE));
+
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,1) = - cos__q_SAA__;
+ (*this)(3,0) = ((- 0.056 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = ((- 0.056 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,0) = (( 0.056 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = ((- 0.056 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(5,1) = ( 0.056 * cos__q_SFE__);
+ return *this;
+}
diff --git a/ct_models/include/ct/models/HyA/generated/joint_data_map.h b/ct_models/include/ct/models/HyA/generated/joint_data_map.h
new file mode 100644
index 0000000..d401ac7
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/joint_data_map.h
@@ -0,0 +1,106 @@
+#ifndef IIT_CT_HYA_JOINT_DATA_MAP_H_
+#define IIT_CT_HYA_JOINT_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_HyA {
+
+/**
+ * A very simple container to associate a generic data item to each joint
+ */
+template<typename T> class JointDataMap {
+private:
+ T data[jointsCount];
+public:
+ JointDataMap() {};
+ JointDataMap(const T& defaultValue);
+ JointDataMap(const JointDataMap& rhs);
+ JointDataMap& operator=(const JointDataMap& rhs);
+ JointDataMap& operator=(const T& rhs);
+ T& operator[](JointIdentifiers which);
+ const T& operator[](JointIdentifiers which) const;
+private:
+ void copydata(const JointDataMap& rhs);
+ void assigndata(const T& rhs);
+};
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const JointDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const JointDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& JointDataMap<T>::operator[](JointIdentifiers j) {
+ return data[j];
+}
+
+template<typename T> inline
+const T& JointDataMap<T>::operator[](JointIdentifiers j) const {
+ return data[j];
+}
+
+template<typename T> inline
+void JointDataMap<T>::copydata(const JointDataMap& rhs) {
+ data[SAA] = rhs[SAA];
+ data[SFE] = rhs[SFE];
+ data[HR] = rhs[HR];
+ data[EFE] = rhs[EFE];
+ data[WR] = rhs[WR];
+ data[WFE] = rhs[WFE];
+}
+
+template<typename T> inline
+void JointDataMap<T>::assigndata(const T& value) {
+ data[SAA] = value;
+ data[SFE] = value;
+ data[HR] = value;
+ data[EFE] = value;
+ data[WR] = value;
+ data[WFE] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const JointDataMap<T>& map) {
+ out
+ << " SAA = "
+ << map[SAA]
+ << " SFE = "
+ << map[SFE]
+ << " HR = "
+ << map[HR]
+ << " EFE = "
+ << map[EFE]
+ << " WR = "
+ << map[WR]
+ << " WFE = "
+ << map[WFE]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/jsim.cpp b/ct_models/include/ct/models/HyA/generated/jsim.cpp
new file mode 100644
index 0000000..c49b67a
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/jsim.cpp
@@ -0,0 +1 @@
+// Placeholder do not delete
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/generated/jsim.h b/ct_models/include/ct/models/HyA/generated/jsim.h
new file mode 100644
index 0000000..a249f58
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/jsim.h
@@ -0,0 +1,111 @@
+#ifndef IIT_CT_HYA_JSIM_H_
+#define IIT_CT_HYA_JSIM_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/StateDependentMatrix.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+
+namespace iit {
+namespace ct_HyA {
+namespace dyn {
+
+namespace tpl{
+
+/**
+ * The type of the Joint Space Inertia Matrix (JSIM) of the robot ct_HyA.
+ */
+template <class TRAIT>
+class JSIM : public iit::rbd::StateDependentMatrix<iit::ct_HyA::tpl::JointState<typename TRAIT::Scalar>, 6, 6, JSIM<TRAIT>>
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ private:
+ typedef iit::rbd::StateDependentMatrix<iit::ct_HyA::JointState, 6, 6, JSIM<TRAIT>> Base;
+ public:
+ typedef typename TRAIT::Scalar SCALAR;
+ typedef typename Base::Index Index;
+ typedef Eigen::Matrix<SCALAR,6,6> MatrixType;
+ typedef InertiaProperties<TRAIT> IProperties;
+ typedef iit::ct_HyA::tpl::ForceTransforms<TRAIT> FTransforms;
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> InertiaMatrix;
+ typedef iit::ct_HyA::tpl::JointState<SCALAR> JointState;
+ typedef typename iit::rbd::Core<SCALAR>::ForceVector ForceVector;
+
+ public:
+ JSIM(IProperties&, FTransforms&);
+ ~JSIM() {}
+
+ const JSIM& update(const JointState&);
+
+
+ /**
+ * Computes and saves the matrix L of the L^T L factorization of this JSIM.
+ */
+ void computeL();
+ /**
+ * Computes and saves the inverse of this JSIM.
+ * This function assumes that computeL() has been called already, since it
+ * uses L to compute the inverse. The algorithm takes advantage of the branch
+ * induced sparsity of the robot, if any.
+ */
+ void computeInverse();
+ /**
+ * Returns an unmodifiable reference to the matrix L. See also computeL()
+ */
+ const MatrixType& getL() const;
+ /**
+ * Returns an unmodifiable reference to the inverse of this JSIM
+ */
+ const MatrixType& getInverse() const;
+
+ protected:
+ /**
+ * Computes and saves the inverse of the matrix L. See also computeL()
+ */
+ void computeLInverse();
+ private:
+ IProperties& linkInertias;
+ FTransforms* frcTransf;
+
+ // The composite-inertia tensor for each link
+ InertiaMatrix Shoulder_AA_Ic;
+ InertiaMatrix Shoulder_FE_Ic;
+ InertiaMatrix Humerus_R_Ic;
+ InertiaMatrix Elbow_FE_Ic;
+ InertiaMatrix Wrist_R_Ic;
+ const InertiaMatrix& Wrist_FE_Ic;
+ InertiaMatrix Ic_spare;
+
+ MatrixType L;
+ MatrixType Linv;
+ MatrixType inverse;
+};
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getL() const {
+ return L;
+}
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getInverse() const {
+ return inverse;
+}
+
+
+} // namespace tpl
+
+typedef tpl::JSIM<rbd::DoubleTrait> JSIM;
+
+}
+}
+}
+
+#include "jsim.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/jsim.impl.h b/ct_models/include/ct/models/HyA/generated/jsim.impl.h
new file mode 100644
index 0000000..5d9cf31
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/jsim.impl.h
@@ -0,0 +1,273 @@
+
+
+//Implementation of default constructor
+template<typename TRAIT>
+iit::ct_HyA::dyn::tpl::JSIM<TRAIT>::JSIM(IProperties& inertiaProperties, FTransforms& forceTransforms) :
+ linkInertias(inertiaProperties),
+ frcTransf( &forceTransforms ),
+ Wrist_FE_Ic(linkInertias.getTensor_Wrist_FE())
+{
+ //Initialize the matrix itself
+ this->setZero();
+}
+
+#define DATA tpl::JSIM<TRAIT>::operator()
+
+template <typename TRAIT>
+const typename iit::ct_HyA::dyn::tpl::JSIM<TRAIT>& iit::ct_HyA::dyn::tpl::JSIM<TRAIT>::update(const JointState& state) {
+ ForceVector F;
+
+ // Precomputes only once the coordinate transforms:
+ frcTransf -> fr_Wrist_R_X_fr_Wrist_FE(state);
+ frcTransf -> fr_Elbow_FE_X_fr_Wrist_R(state);
+ frcTransf -> fr_Humerus_R_X_fr_Elbow_FE(state);
+ frcTransf -> fr_Shoulder_FE_X_fr_Humerus_R(state);
+ frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE(state);
+
+ // Initializes the composite inertia tensors
+ Shoulder_AA_Ic = linkInertias.getTensor_Shoulder_AA();
+ Shoulder_FE_Ic = linkInertias.getTensor_Shoulder_FE();
+ Humerus_R_Ic = linkInertias.getTensor_Humerus_R();
+ Elbow_FE_Ic = linkInertias.getTensor_Elbow_FE();
+ Wrist_R_Ic = linkInertias.getTensor_Wrist_R();
+
+ // "Bottom-up" loop to update the inertia-composite property of each link, for the current configuration
+
+ // Link Wrist_FE:
+ iit::rbd::transformInertia(Wrist_FE_Ic, frcTransf -> fr_Wrist_R_X_fr_Wrist_FE, Ic_spare);
+ Wrist_R_Ic += Ic_spare;
+
+ F = Wrist_FE_Ic.col(iit::rbd::AZ);
+ DATA(WFE, WFE) = F(iit::rbd::AZ);
+
+ F = frcTransf -> fr_Wrist_R_X_fr_Wrist_FE * F;
+ DATA(WFE, WR) = F(iit::rbd::AZ);
+ DATA(WR, WFE) = DATA(WFE, WR);
+ F = frcTransf -> fr_Elbow_FE_X_fr_Wrist_R * F;
+ DATA(WFE, EFE) = F(iit::rbd::AZ);
+ DATA(EFE, WFE) = DATA(WFE, EFE);
+ F = frcTransf -> fr_Humerus_R_X_fr_Elbow_FE * F;
+ DATA(WFE, HR) = F(iit::rbd::AZ);
+ DATA(HR, WFE) = DATA(WFE, HR);
+ F = frcTransf -> fr_Shoulder_FE_X_fr_Humerus_R * F;
+ DATA(WFE, SFE) = F(iit::rbd::AZ);
+ DATA(SFE, WFE) = DATA(WFE, SFE);
+ F = frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE * F;
+ DATA(WFE, SAA) = F(iit::rbd::AZ);
+ DATA(SAA, WFE) = DATA(WFE, SAA);
+
+ // Link Wrist_R:
+ iit::rbd::transformInertia(Wrist_R_Ic, frcTransf -> fr_Elbow_FE_X_fr_Wrist_R, Ic_spare);
+ Elbow_FE_Ic += Ic_spare;
+
+ F = Wrist_R_Ic.col(iit::rbd::AZ);
+ DATA(WR, WR) = F(iit::rbd::AZ);
+
+ F = frcTransf -> fr_Elbow_FE_X_fr_Wrist_R * F;
+ DATA(WR, EFE) = F(iit::rbd::AZ);
+ DATA(EFE, WR) = DATA(WR, EFE);
+ F = frcTransf -> fr_Humerus_R_X_fr_Elbow_FE * F;
+ DATA(WR, HR) = F(iit::rbd::AZ);
+ DATA(HR, WR) = DATA(WR, HR);
+ F = frcTransf -> fr_Shoulder_FE_X_fr_Humerus_R * F;
+ DATA(WR, SFE) = F(iit::rbd::AZ);
+ DATA(SFE, WR) = DATA(WR, SFE);
+ F = frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE * F;
+ DATA(WR, SAA) = F(iit::rbd::AZ);
+ DATA(SAA, WR) = DATA(WR, SAA);
+
+ // Link Elbow_FE:
+ iit::rbd::transformInertia(Elbow_FE_Ic, frcTransf -> fr_Humerus_R_X_fr_Elbow_FE, Ic_spare);
+ Humerus_R_Ic += Ic_spare;
+
+ F = Elbow_FE_Ic.col(iit::rbd::AZ);
+ DATA(EFE, EFE) = F(iit::rbd::AZ);
+
+ F = frcTransf -> fr_Humerus_R_X_fr_Elbow_FE * F;
+ DATA(EFE, HR) = F(iit::rbd::AZ);
+ DATA(HR, EFE) = DATA(EFE, HR);
+ F = frcTransf -> fr_Shoulder_FE_X_fr_Humerus_R * F;
+ DATA(EFE, SFE) = F(iit::rbd::AZ);
+ DATA(SFE, EFE) = DATA(EFE, SFE);
+ F = frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE * F;
+ DATA(EFE, SAA) = F(iit::rbd::AZ);
+ DATA(SAA, EFE) = DATA(EFE, SAA);
+
+ // Link Humerus_R:
+ iit::rbd::transformInertia(Humerus_R_Ic, frcTransf -> fr_Shoulder_FE_X_fr_Humerus_R, Ic_spare);
+ Shoulder_FE_Ic += Ic_spare;
+
+ F = Humerus_R_Ic.col(iit::rbd::AZ);
+ DATA(HR, HR) = F(iit::rbd::AZ);
+
+ F = frcTransf -> fr_Shoulder_FE_X_fr_Humerus_R * F;
+ DATA(HR, SFE) = F(iit::rbd::AZ);
+ DATA(SFE, HR) = DATA(HR, SFE);
+ F = frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE * F;
+ DATA(HR, SAA) = F(iit::rbd::AZ);
+ DATA(SAA, HR) = DATA(HR, SAA);
+
+ // Link Shoulder_FE:
+ iit::rbd::transformInertia(Shoulder_FE_Ic, frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE, Ic_spare);
+ Shoulder_AA_Ic += Ic_spare;
+
+ F = Shoulder_FE_Ic.col(iit::rbd::AZ);
+ DATA(SFE, SFE) = F(iit::rbd::AZ);
+
+ F = frcTransf -> fr_Shoulder_AA_X_fr_Shoulder_FE * F;
+ DATA(SFE, SAA) = F(iit::rbd::AZ);
+ DATA(SAA, SFE) = DATA(SFE, SAA);
+
+ // Link Shoulder_AA:
+
+ F = Shoulder_AA_Ic.col(iit::rbd::AZ);
+ DATA(SAA, SAA) = F(iit::rbd::AZ);
+
+
+ return *this;
+}
+
+#undef DATA
+#undef F
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::JSIM<TRAIT>::computeL() {
+ L = this -> template triangularView<Eigen::Lower>();
+ // Joint WFE, index 5 :
+ L(5, 5) = std::sqrt(L(5, 5));
+ L(5, 4) = L(5, 4) / L(5, 5);
+ L(5, 3) = L(5, 3) / L(5, 5);
+ L(5, 2) = L(5, 2) / L(5, 5);
+ L(5, 1) = L(5, 1) / L(5, 5);
+ L(5, 0) = L(5, 0) / L(5, 5);
+ L(4, 4) = L(4, 4) - L(5, 4) * L(5, 4);
+ L(4, 3) = L(4, 3) - L(5, 4) * L(5, 3);
+ L(4, 2) = L(4, 2) - L(5, 4) * L(5, 2);
+ L(4, 1) = L(4, 1) - L(5, 4) * L(5, 1);
+ L(4, 0) = L(4, 0) - L(5, 4) * L(5, 0);
+ L(3, 3) = L(3, 3) - L(5, 3) * L(5, 3);
+ L(3, 2) = L(3, 2) - L(5, 3) * L(5, 2);
+ L(3, 1) = L(3, 1) - L(5, 3) * L(5, 1);
+ L(3, 0) = L(3, 0) - L(5, 3) * L(5, 0);
+ L(2, 2) = L(2, 2) - L(5, 2) * L(5, 2);
+ L(2, 1) = L(2, 1) - L(5, 2) * L(5, 1);
+ L(2, 0) = L(2, 0) - L(5, 2) * L(5, 0);
+ L(1, 1) = L(1, 1) - L(5, 1) * L(5, 1);
+ L(1, 0) = L(1, 0) - L(5, 1) * L(5, 0);
+ L(0, 0) = L(0, 0) - L(5, 0) * L(5, 0);
+
+ // Joint WR, index 4 :
+ L(4, 4) = std::sqrt(L(4, 4));
+ L(4, 3) = L(4, 3) / L(4, 4);
+ L(4, 2) = L(4, 2) / L(4, 4);
+ L(4, 1) = L(4, 1) / L(4, 4);
+ L(4, 0) = L(4, 0) / L(4, 4);
+ L(3, 3) = L(3, 3) - L(4, 3) * L(4, 3);
+ L(3, 2) = L(3, 2) - L(4, 3) * L(4, 2);
+ L(3, 1) = L(3, 1) - L(4, 3) * L(4, 1);
+ L(3, 0) = L(3, 0) - L(4, 3) * L(4, 0);
+ L(2, 2) = L(2, 2) - L(4, 2) * L(4, 2);
+ L(2, 1) = L(2, 1) - L(4, 2) * L(4, 1);
+ L(2, 0) = L(2, 0) - L(4, 2) * L(4, 0);
+ L(1, 1) = L(1, 1) - L(4, 1) * L(4, 1);
+ L(1, 0) = L(1, 0) - L(4, 1) * L(4, 0);
+ L(0, 0) = L(0, 0) - L(4, 0) * L(4, 0);
+
+ // Joint EFE, index 3 :
+ L(3, 3) = std::sqrt(L(3, 3));
+ L(3, 2) = L(3, 2) / L(3, 3);
+ L(3, 1) = L(3, 1) / L(3, 3);
+ L(3, 0) = L(3, 0) / L(3, 3);
+ L(2, 2) = L(2, 2) - L(3, 2) * L(3, 2);
+ L(2, 1) = L(2, 1) - L(3, 2) * L(3, 1);
+ L(2, 0) = L(2, 0) - L(3, 2) * L(3, 0);
+ L(1, 1) = L(1, 1) - L(3, 1) * L(3, 1);
+ L(1, 0) = L(1, 0) - L(3, 1) * L(3, 0);
+ L(0, 0) = L(0, 0) - L(3, 0) * L(3, 0);
+
+ // Joint HR, index 2 :
+ L(2, 2) = std::sqrt(L(2, 2));
+ L(2, 1) = L(2, 1) / L(2, 2);
+ L(2, 0) = L(2, 0) / L(2, 2);
+ L(1, 1) = L(1, 1) - L(2, 1) * L(2, 1);
+ L(1, 0) = L(1, 0) - L(2, 1) * L(2, 0);
+ L(0, 0) = L(0, 0) - L(2, 0) * L(2, 0);
+
+ // Joint SFE, index 1 :
+ L(1, 1) = std::sqrt(L(1, 1));
+ L(1, 0) = L(1, 0) / L(1, 1);
+ L(0, 0) = L(0, 0) - L(1, 0) * L(1, 0);
+
+ // Joint SAA, index 0 :
+ L(0, 0) = std::sqrt(L(0, 0));
+
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::JSIM<TRAIT>::computeInverse() {
+ computeLInverse();
+
+ inverse(0, 0) = + (Linv(0, 0) * Linv(0, 0));
+ inverse(1, 1) = + (Linv(1, 0) * Linv(1, 0)) + (Linv(1, 1) * Linv(1, 1));
+ inverse(1, 0) = + (Linv(1, 0) * Linv(0, 0));
+ inverse(0, 1) = inverse(1, 0);
+ inverse(2, 2) = + (Linv(2, 0) * Linv(2, 0)) + (Linv(2, 1) * Linv(2, 1)) + (Linv(2, 2) * Linv(2, 2));
+ inverse(2, 1) = + (Linv(2, 0) * Linv(1, 0)) + (Linv(2, 1) * Linv(1, 1));
+ inverse(1, 2) = inverse(2, 1);
+ inverse(2, 0) = + (Linv(2, 0) * Linv(0, 0));
+ inverse(0, 2) = inverse(2, 0);
+ inverse(3, 3) = + (Linv(3, 0) * Linv(3, 0)) + (Linv(3, 1) * Linv(3, 1)) + (Linv(3, 2) * Linv(3, 2)) + (Linv(3, 3) * Linv(3, 3));
+ inverse(3, 2) = + (Linv(3, 0) * Linv(2, 0)) + (Linv(3, 1) * Linv(2, 1)) + (Linv(3, 2) * Linv(2, 2));
+ inverse(2, 3) = inverse(3, 2);
+ inverse(3, 1) = + (Linv(3, 0) * Linv(1, 0)) + (Linv(3, 1) * Linv(1, 1));
+ inverse(1, 3) = inverse(3, 1);
+ inverse(3, 0) = + (Linv(3, 0) * Linv(0, 0));
+ inverse(0, 3) = inverse(3, 0);
+ inverse(4, 4) = + (Linv(4, 0) * Linv(4, 0)) + (Linv(4, 1) * Linv(4, 1)) + (Linv(4, 2) * Linv(4, 2)) + (Linv(4, 3) * Linv(4, 3)) + (Linv(4, 4) * Linv(4, 4));
+ inverse(4, 3) = + (Linv(4, 0) * Linv(3, 0)) + (Linv(4, 1) * Linv(3, 1)) + (Linv(4, 2) * Linv(3, 2)) + (Linv(4, 3) * Linv(3, 3));
+ inverse(3, 4) = inverse(4, 3);
+ inverse(4, 2) = + (Linv(4, 0) * Linv(2, 0)) + (Linv(4, 1) * Linv(2, 1)) + (Linv(4, 2) * Linv(2, 2));
+ inverse(2, 4) = inverse(4, 2);
+ inverse(4, 1) = + (Linv(4, 0) * Linv(1, 0)) + (Linv(4, 1) * Linv(1, 1));
+ inverse(1, 4) = inverse(4, 1);
+ inverse(4, 0) = + (Linv(4, 0) * Linv(0, 0));
+ inverse(0, 4) = inverse(4, 0);
+ inverse(5, 5) = + (Linv(5, 0) * Linv(5, 0)) + (Linv(5, 1) * Linv(5, 1)) + (Linv(5, 2) * Linv(5, 2)) + (Linv(5, 3) * Linv(5, 3)) + (Linv(5, 4) * Linv(5, 4)) + (Linv(5, 5) * Linv(5, 5));
+ inverse(5, 4) = + (Linv(5, 0) * Linv(4, 0)) + (Linv(5, 1) * Linv(4, 1)) + (Linv(5, 2) * Linv(4, 2)) + (Linv(5, 3) * Linv(4, 3)) + (Linv(5, 4) * Linv(4, 4));
+ inverse(4, 5) = inverse(5, 4);
+ inverse(5, 3) = + (Linv(5, 0) * Linv(3, 0)) + (Linv(5, 1) * Linv(3, 1)) + (Linv(5, 2) * Linv(3, 2)) + (Linv(5, 3) * Linv(3, 3));
+ inverse(3, 5) = inverse(5, 3);
+ inverse(5, 2) = + (Linv(5, 0) * Linv(2, 0)) + (Linv(5, 1) * Linv(2, 1)) + (Linv(5, 2) * Linv(2, 2));
+ inverse(2, 5) = inverse(5, 2);
+ inverse(5, 1) = + (Linv(5, 0) * Linv(1, 0)) + (Linv(5, 1) * Linv(1, 1));
+ inverse(1, 5) = inverse(5, 1);
+ inverse(5, 0) = + (Linv(5, 0) * Linv(0, 0));
+ inverse(0, 5) = inverse(5, 0);
+}
+
+template <typename TRAIT>
+void iit::ct_HyA::dyn::tpl::JSIM<TRAIT>::computeLInverse() {
+ //assumes L has been computed already
+ Linv(0, 0) = 1 / L(0, 0);
+ Linv(1, 1) = 1 / L(1, 1);
+ Linv(2, 2) = 1 / L(2, 2);
+ Linv(3, 3) = 1 / L(3, 3);
+ Linv(4, 4) = 1 / L(4, 4);
+ Linv(5, 5) = 1 / L(5, 5);
+ Linv(1, 0) = - Linv(0, 0) * ((Linv(1, 1) * L(1, 0)) + 0);
+ Linv(2, 1) = - Linv(1, 1) * ((Linv(2, 2) * L(2, 1)) + 0);
+ Linv(2, 0) = - Linv(0, 0) * ((Linv(2, 1) * L(1, 0)) + (Linv(2, 2) * L(2, 0)) + 0);
+ Linv(3, 2) = - Linv(2, 2) * ((Linv(3, 3) * L(3, 2)) + 0);
+ Linv(3, 1) = - Linv(1, 1) * ((Linv(3, 2) * L(2, 1)) + (Linv(3, 3) * L(3, 1)) + 0);
+ Linv(3, 0) = - Linv(0, 0) * ((Linv(3, 1) * L(1, 0)) + (Linv(3, 2) * L(2, 0)) + (Linv(3, 3) * L(3, 0)) + 0);
+ Linv(4, 3) = - Linv(3, 3) * ((Linv(4, 4) * L(4, 3)) + 0);
+ Linv(4, 2) = - Linv(2, 2) * ((Linv(4, 3) * L(3, 2)) + (Linv(4, 4) * L(4, 2)) + 0);
+ Linv(4, 1) = - Linv(1, 1) * ((Linv(4, 2) * L(2, 1)) + (Linv(4, 3) * L(3, 1)) + (Linv(4, 4) * L(4, 1)) + 0);
+ Linv(4, 0) = - Linv(0, 0) * ((Linv(4, 1) * L(1, 0)) + (Linv(4, 2) * L(2, 0)) + (Linv(4, 3) * L(3, 0)) + (Linv(4, 4) * L(4, 0)) + 0);
+ Linv(5, 4) = - Linv(4, 4) * ((Linv(5, 5) * L(5, 4)) + 0);
+ Linv(5, 3) = - Linv(3, 3) * ((Linv(5, 4) * L(4, 3)) + (Linv(5, 5) * L(5, 3)) + 0);
+ Linv(5, 2) = - Linv(2, 2) * ((Linv(5, 3) * L(3, 2)) + (Linv(5, 4) * L(4, 2)) + (Linv(5, 5) * L(5, 2)) + 0);
+ Linv(5, 1) = - Linv(1, 1) * ((Linv(5, 2) * L(2, 1)) + (Linv(5, 3) * L(3, 1)) + (Linv(5, 4) * L(4, 1)) + (Linv(5, 5) * L(5, 1)) + 0);
+ Linv(5, 0) = - Linv(0, 0) * ((Linv(5, 1) * L(1, 0)) + (Linv(5, 2) * L(2, 0)) + (Linv(5, 3) * L(3, 0)) + (Linv(5, 4) * L(4, 0)) + (Linv(5, 5) * L(5, 0)) + 0);
+}
+
diff --git a/ct_models/include/ct/models/HyA/generated/kinematics_parameters.h b/ct_models/include/ct/models/HyA/generated/kinematics_parameters.h
new file mode 100644
index 0000000..0250507
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/kinematics_parameters.h
@@ -0,0 +1,11 @@
+#ifndef _CT_HYA_PARAMETERS_GETTERS_
+#define _CT_HYA_PARAMETERS_GETTERS_
+
+namespace iit {
+namespace ct_HyA {
+
+
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/link_data_map.h b/ct_models/include/ct/models/HyA/generated/link_data_map.h
new file mode 100644
index 0000000..1a7bdb3
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/link_data_map.h
@@ -0,0 +1,112 @@
+#ifndef IIT_CT_HYA_LINK_DATA_MAP_H_
+#define IIT_CT_HYA_LINK_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_HyA {
+
+/**
+ * A very simple container to associate a generic data item to each link
+ */
+template<typename T> class LinkDataMap {
+private:
+ T data[linksCount];
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ LinkDataMap() {};
+ LinkDataMap(const T& defaultValue);
+ LinkDataMap(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const T& rhs);
+ T& operator[](LinkIdentifiers which);
+ const T& operator[](LinkIdentifiers which) const;
+private:
+ void copydata(const LinkDataMap& rhs);
+ void assigndata(const T& commonValue);
+};
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const LinkDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const LinkDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& LinkDataMap<T>::operator[](LinkIdentifiers l) {
+ return data[l];
+}
+
+template<typename T> inline
+const T& LinkDataMap<T>::operator[](LinkIdentifiers l) const {
+ return data[l];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::copydata(const LinkDataMap& rhs) {
+ data[HYABASE] = rhs[HYABASE];
+ data[SHOULDER_AA] = rhs[SHOULDER_AA];
+ data[SHOULDER_FE] = rhs[SHOULDER_FE];
+ data[HUMERUS_R] = rhs[HUMERUS_R];
+ data[ELBOW_FE] = rhs[ELBOW_FE];
+ data[WRIST_R] = rhs[WRIST_R];
+ data[WRIST_FE] = rhs[WRIST_FE];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::assigndata(const T& value) {
+ data[HYABASE] = value;
+ data[SHOULDER_AA] = value;
+ data[SHOULDER_FE] = value;
+ data[HUMERUS_R] = value;
+ data[ELBOW_FE] = value;
+ data[WRIST_R] = value;
+ data[WRIST_FE] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const LinkDataMap<T>& map) {
+ out
+ << " HyABase = "
+ << map[HYABASE]
+ << " Shoulder_AA = "
+ << map[SHOULDER_AA]
+ << " Shoulder_FE = "
+ << map[SHOULDER_FE]
+ << " Humerus_R = "
+ << map[HUMERUS_R]
+ << " Elbow_FE = "
+ << map[ELBOW_FE]
+ << " Wrist_R = "
+ << map[WRIST_R]
+ << " Wrist_FE = "
+ << map[WRIST_FE]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/miscellaneous.cpp b/ct_models/include/ct/models/HyA/generated/miscellaneous.cpp
new file mode 100644
index 0000000..0af9d22
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/miscellaneous.cpp
@@ -0,0 +1,58 @@
+#include <iit/rbd/utils.h>
+#include "miscellaneous.h"
+
+using namespace iit::ct_HyA;
+using namespace iit::ct_HyA::dyn;
+
+iit::rbd::Vector3d iit::ct_HyA::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const HomogeneousTransforms& ht)
+{
+ iit::rbd::Vector3d tmpSum(iit::rbd::Vector3d::Zero());
+
+
+ HomogeneousTransforms::MatrixType tmpX(HomogeneousTransforms::MatrixType::Identity());
+ tmpX = tmpX * ht.fr_HyABase_X_fr_Shoulder_AA;
+ tmpSum += inertiaProps.getMass_Shoulder_AA() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Shoulder_AA()));
+
+ tmpX = tmpX * ht.fr_Shoulder_AA_X_fr_Shoulder_FE;
+ tmpSum += inertiaProps.getMass_Shoulder_FE() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Shoulder_FE()));
+
+ tmpX = tmpX * ht.fr_Shoulder_FE_X_fr_Humerus_R;
+ tmpSum += inertiaProps.getMass_Humerus_R() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Humerus_R()));
+
+ tmpX = tmpX * ht.fr_Humerus_R_X_fr_Elbow_FE;
+ tmpSum += inertiaProps.getMass_Elbow_FE() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Elbow_FE()));
+
+ tmpX = tmpX * ht.fr_Elbow_FE_X_fr_Wrist_R;
+ tmpSum += inertiaProps.getMass_Wrist_R() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Wrist_R()));
+
+ tmpX = tmpX * ht.fr_Wrist_R_X_fr_Wrist_FE;
+ tmpSum += inertiaProps.getMass_Wrist_FE() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Wrist_FE()));
+
+
+ return tmpSum / inertiaProps.getTotalMass();
+}
+
+iit::rbd::Vector3d iit::ct_HyA::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const JointState& q,
+ HomogeneousTransforms& ht)
+{
+ // First updates the coordinate transforms that will be used by the routine
+ ht.fr_HyABase_X_fr_Shoulder_AA(q);
+ ht.fr_Shoulder_AA_X_fr_Shoulder_FE(q);
+ ht.fr_Shoulder_FE_X_fr_Humerus_R(q);
+ ht.fr_Humerus_R_X_fr_Elbow_FE(q);
+ ht.fr_Elbow_FE_X_fr_Wrist_R(q);
+ ht.fr_Wrist_R_X_fr_Wrist_FE(q);
+
+ // The actual calculus
+ return getWholeBodyCOM(inertiaProps, ht);
+}
diff --git a/ct_models/include/ct/models/HyA/generated/miscellaneous.h b/ct_models/include/ct/models/HyA/generated/miscellaneous.h
new file mode 100644
index 0000000..7d8b5da
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/miscellaneous.h
@@ -0,0 +1,45 @@
+#ifndef IIT_ROBCOGEN__CT_HYA_MISCELLANEOUS_H_
+#define IIT_ROBCOGEN__CT_HYA_MISCELLANEOUS_H_
+
+#include "inertia_properties.h"
+#include "transforms.h"
+
+namespace iit {
+namespace ct_HyA {
+
+/** \name Center of mass calculation
+ * Computes the Center Of Mass (COM) position of the whole robot, in
+ * base coordinates.
+ *
+ * Common parameters are the inertia properties of the robot and the set
+ * of homogeneous coordinate transforms. If a joint status variable is
+ * also passed, then the transforms are updated accordingly; otherwise,
+ * they are not modified before being used.
+ */
+///@{
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const HomogeneousTransforms& transforms);
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param q the joint status vector describing the configuration of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const JointState& q,
+ HomogeneousTransforms& transforms);
+///@}
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/traits.h b/ct_models/include/ct/models/HyA/generated/traits.h
new file mode 100644
index 0000000..1814b4f
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/traits.h
@@ -0,0 +1,66 @@
+#ifndef IIT_ROBOGEN__CT_HYA_TRAITS_H_
+#define IIT_ROBOGEN__CT_HYA_TRAITS_H_
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inverse_dynamics.h"
+#include "forward_dynamics.h"
+#include "jsim.h"
+#include "inertia_properties.h"
+#include "jacobians.h"
+#include <iit/rbd/traits/TraitSelector.h>
+
+
+namespace iit {
+namespace ct_HyA {
+
+namespace tpl{
+
+template <typename SCALAR>
+struct Traits {
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef SCALAR S;
+
+ typedef typename iit::rbd::tpl::TraitSelector<SCALAR>::Trait Trait;
+
+ typedef typename ct_HyA::tpl::JointState<SCALAR> JointState;
+
+ typedef typename ct_HyA::JointIdentifiers JointID;
+ typedef typename ct_HyA::LinkIdentifiers LinkID;
+
+ typedef typename ct_HyA::tpl::HomogeneousTransforms<Trait> HomogeneousTransforms;
+ typedef typename ct_HyA::tpl::MotionTransforms<Trait> MotionTransforms;
+ typedef typename ct_HyA::tpl::ForceTransforms<Trait> ForceTransforms;
+ typedef typename ct_HyA::tpl::Jacobians<Trait> Jacobians;
+
+ typedef typename ct_HyA::dyn::tpl::InertiaProperties<Trait> InertiaProperties;
+ typedef typename ct_HyA::dyn::tpl::ForwardDynamics<Trait> FwdDynEngine;
+ typedef typename ct_HyA::dyn::tpl::InverseDynamics<Trait> InvDynEngine;
+ typedef typename ct_HyA::dyn::tpl::JSIM<Trait> JSIM;
+
+ static const int joints_count = ct_HyA::jointsCount;
+ static const int links_count = ct_HyA::linksCount;
+ static const bool floating_base = false;
+
+ static inline const JointID* orderedJointIDs();
+ static inline const LinkID* orderedLinkIDs();
+};
+
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::JointID* Traits<SCALAR>::orderedJointIDs() {
+ return ct_HyA::orderedJointIDs;
+}
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::LinkID* Traits<SCALAR>::orderedLinkIDs() {
+ return ct_HyA::orderedLinkIDs;
+}
+
+} // namespace tpl
+
+typedef tpl::Traits<double> Traits;
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/transforms.cpp b/ct_models/include/ct/models/HyA/generated/transforms.cpp
new file mode 100644
index 0000000..5649d53
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/transforms.cpp
@@ -0,0 +1 @@
+// Placeholder, do not delete
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/generated/transforms.h b/ct_models/include/ct/models/HyA/generated/transforms.h
new file mode 100644
index 0000000..0a16603
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/transforms.h
@@ -0,0 +1,1612 @@
+#ifndef CT_HYA_TRANSFORMS_H_
+#define CT_HYA_TRANSFORMS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/TransformsBase.h>
+#include "declarations.h"
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_HyA {
+
+template<typename SCALAR, class M>
+class TransformMotion : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformForce : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformHomogeneous : public iit::rbd::HomogeneousTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+namespace tpl {
+
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial motion vectors.
+ */
+template <typename TRAIT>
+class MotionTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+ class Dummy {};
+ typedef typename TransformMotion<SCALAR, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_HyABase_X_fr_Shoulder_AA : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA();
+ const Type_fr_HyABase_X_fr_Shoulder_AA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE();
+ const Type_fr_HyABase_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R();
+ const Type_fr_HyABase_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE();
+ const Type_fr_HyABase_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R();
+ const Type_fr_HyABase_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_FE : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_FE();
+ const Type_fr_HyABase_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_ee : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_ee();
+ const Type_fr_HyABase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_AA_COM : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA_COM();
+ const Type_fr_HyABase_X_fr_Shoulder_AA_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE_COM : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE_COM();
+ const Type_fr_HyABase_X_fr_Shoulder_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R_COM : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Humerus_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R_COM();
+ const Type_fr_HyABase_X_fr_Humerus_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE_COM : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE_COM();
+ const Type_fr_HyABase_X_fr_Elbow_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R_COM : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Wrist_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R_COM();
+ const Type_fr_HyABase_X_fr_Wrist_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_FE_COM : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Wrist_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_FE_COM();
+ const Type_fr_HyABase_X_fr_Wrist_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_AA_CTR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA_CTR();
+ const Type_fr_HyABase_X_fr_Shoulder_AA_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE_CTR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE_CTR();
+ const Type_fr_HyABase_X_fr_Shoulder_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R_CTR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Humerus_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R_CTR();
+ const Type_fr_HyABase_X_fr_Humerus_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE_CTR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE_CTR();
+ const Type_fr_HyABase_X_fr_Elbow_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R_CTR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_Wrist_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R_CTR();
+ const Type_fr_HyABase_X_fr_Wrist_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Wrist_FE : public TransformMotion<SCALAR, Type_fr_Shoulder_FE_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Wrist_FE();
+ const Type_fr_Shoulder_FE_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Wrist_FE : public TransformMotion<SCALAR, Type_fr_Humerus_R_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Wrist_FE();
+ const Type_fr_Humerus_R_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Wrist_FE : public TransformMotion<SCALAR, Type_fr_Elbow_FE_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Wrist_FE();
+ const Type_fr_Elbow_FE_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_Wrist_FE : public TransformMotion<SCALAR, Type_fr_Wrist_R_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_Wrist_FE();
+ const Type_fr_Wrist_R_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_Shoulder_FE : public TransformMotion<SCALAR, Type_fr_Wrist_FE_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_Shoulder_FE();
+ const Type_fr_Wrist_FE_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_ee : public TransformMotion<SCALAR, Type_fr_Shoulder_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_ee();
+ const Type_fr_Shoulder_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_ee : public TransformMotion<SCALAR, Type_fr_Humerus_R_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_ee();
+ const Type_fr_Humerus_R_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_ee : public TransformMotion<SCALAR, Type_fr_Elbow_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_ee();
+ const Type_fr_Elbow_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_ee : public TransformMotion<SCALAR, Type_fr_Wrist_R_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_ee();
+ const Type_fr_Wrist_R_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_ee : public TransformMotion<SCALAR, Type_fr_Wrist_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_ee();
+ const Type_fr_Wrist_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_AA_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_Shoulder_AA_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_AA_X_fr_HyABase();
+ const Type_fr_Shoulder_AA_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_Shoulder_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_HyABase();
+ const Type_fr_Shoulder_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_Humerus_R_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_HyABase();
+ const Type_fr_Humerus_R_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_Elbow_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_HyABase();
+ const Type_fr_Elbow_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_Wrist_R_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_HyABase();
+ const Type_fr_Wrist_R_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_Wrist_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_HyABase();
+ const Type_fr_Wrist_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_HyABase : public TransformMotion<SCALAR, Type_fr_ee_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_HyABase();
+ const Type_fr_ee_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_SAA : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_SAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_SAA();
+ const Type_fr_HyABase_X_fr_SAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_SFE : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_SFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_SFE();
+ const Type_fr_HyABase_X_fr_SFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_HR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_HR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_HR();
+ const Type_fr_HyABase_X_fr_HR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_EFE : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_EFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_EFE();
+ const Type_fr_HyABase_X_fr_EFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_WR : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_WR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_WR();
+ const Type_fr_HyABase_X_fr_WR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_WFE : public TransformMotion<SCALAR, Type_fr_HyABase_X_fr_WFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_WFE();
+ const Type_fr_HyABase_X_fr_WFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Shoulder_AA : public TransformMotion<SCALAR, Type_fr_Shoulder_FE_X_fr_Shoulder_AA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Shoulder_AA();
+ const Type_fr_Shoulder_FE_X_fr_Shoulder_AA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_AA_X_fr_Shoulder_FE : public TransformMotion<SCALAR, Type_fr_Shoulder_AA_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_AA_X_fr_Shoulder_FE();
+ const Type_fr_Shoulder_AA_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Shoulder_FE : public TransformMotion<SCALAR, Type_fr_Humerus_R_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Shoulder_FE();
+ const Type_fr_Humerus_R_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Humerus_R : public TransformMotion<SCALAR, Type_fr_Shoulder_FE_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Humerus_R();
+ const Type_fr_Shoulder_FE_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Humerus_R : public TransformMotion<SCALAR, Type_fr_Elbow_FE_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Humerus_R();
+ const Type_fr_Elbow_FE_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Elbow_FE : public TransformMotion<SCALAR, Type_fr_Humerus_R_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Elbow_FE();
+ const Type_fr_Humerus_R_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_Elbow_FE : public TransformMotion<SCALAR, Type_fr_Wrist_R_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_Elbow_FE();
+ const Type_fr_Wrist_R_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Wrist_R : public TransformMotion<SCALAR, Type_fr_Elbow_FE_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Wrist_R();
+ const Type_fr_Elbow_FE_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_Wrist_R : public TransformMotion<SCALAR, Type_fr_Wrist_FE_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_Wrist_R();
+ const Type_fr_Wrist_FE_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+public:
+ MotionTransforms();
+ void updateParameters();
+ Type_fr_HyABase_X_fr_Shoulder_AA fr_HyABase_X_fr_Shoulder_AA;
+ Type_fr_HyABase_X_fr_Shoulder_FE fr_HyABase_X_fr_Shoulder_FE;
+ Type_fr_HyABase_X_fr_Humerus_R fr_HyABase_X_fr_Humerus_R;
+ Type_fr_HyABase_X_fr_Elbow_FE fr_HyABase_X_fr_Elbow_FE;
+ Type_fr_HyABase_X_fr_Wrist_R fr_HyABase_X_fr_Wrist_R;
+ Type_fr_HyABase_X_fr_Wrist_FE fr_HyABase_X_fr_Wrist_FE;
+ Type_fr_HyABase_X_fr_ee fr_HyABase_X_fr_ee;
+ Type_fr_HyABase_X_fr_Shoulder_AA_COM fr_HyABase_X_fr_Shoulder_AA_COM;
+ Type_fr_HyABase_X_fr_Shoulder_FE_COM fr_HyABase_X_fr_Shoulder_FE_COM;
+ Type_fr_HyABase_X_fr_Humerus_R_COM fr_HyABase_X_fr_Humerus_R_COM;
+ Type_fr_HyABase_X_fr_Elbow_FE_COM fr_HyABase_X_fr_Elbow_FE_COM;
+ Type_fr_HyABase_X_fr_Wrist_R_COM fr_HyABase_X_fr_Wrist_R_COM;
+ Type_fr_HyABase_X_fr_Wrist_FE_COM fr_HyABase_X_fr_Wrist_FE_COM;
+ Type_fr_HyABase_X_fr_Shoulder_AA_CTR fr_HyABase_X_fr_Shoulder_AA_CTR;
+ Type_fr_HyABase_X_fr_Shoulder_FE_CTR fr_HyABase_X_fr_Shoulder_FE_CTR;
+ Type_fr_HyABase_X_fr_Humerus_R_CTR fr_HyABase_X_fr_Humerus_R_CTR;
+ Type_fr_HyABase_X_fr_Elbow_FE_CTR fr_HyABase_X_fr_Elbow_FE_CTR;
+ Type_fr_HyABase_X_fr_Wrist_R_CTR fr_HyABase_X_fr_Wrist_R_CTR;
+ Type_fr_Shoulder_FE_X_fr_Wrist_FE fr_Shoulder_FE_X_fr_Wrist_FE;
+ Type_fr_Humerus_R_X_fr_Wrist_FE fr_Humerus_R_X_fr_Wrist_FE;
+ Type_fr_Elbow_FE_X_fr_Wrist_FE fr_Elbow_FE_X_fr_Wrist_FE;
+ Type_fr_Wrist_R_X_fr_Wrist_FE fr_Wrist_R_X_fr_Wrist_FE;
+ Type_fr_Wrist_FE_X_fr_Shoulder_FE fr_Wrist_FE_X_fr_Shoulder_FE;
+ Type_fr_Shoulder_FE_X_fr_ee fr_Shoulder_FE_X_fr_ee;
+ Type_fr_Humerus_R_X_fr_ee fr_Humerus_R_X_fr_ee;
+ Type_fr_Elbow_FE_X_fr_ee fr_Elbow_FE_X_fr_ee;
+ Type_fr_Wrist_R_X_fr_ee fr_Wrist_R_X_fr_ee;
+ Type_fr_Wrist_FE_X_fr_ee fr_Wrist_FE_X_fr_ee;
+ Type_fr_Shoulder_AA_X_fr_HyABase fr_Shoulder_AA_X_fr_HyABase;
+ Type_fr_Shoulder_FE_X_fr_HyABase fr_Shoulder_FE_X_fr_HyABase;
+ Type_fr_Humerus_R_X_fr_HyABase fr_Humerus_R_X_fr_HyABase;
+ Type_fr_Elbow_FE_X_fr_HyABase fr_Elbow_FE_X_fr_HyABase;
+ Type_fr_Wrist_R_X_fr_HyABase fr_Wrist_R_X_fr_HyABase;
+ Type_fr_Wrist_FE_X_fr_HyABase fr_Wrist_FE_X_fr_HyABase;
+ Type_fr_ee_X_fr_HyABase fr_ee_X_fr_HyABase;
+ Type_fr_HyABase_X_fr_SAA fr_HyABase_X_fr_SAA;
+ Type_fr_HyABase_X_fr_SFE fr_HyABase_X_fr_SFE;
+ Type_fr_HyABase_X_fr_HR fr_HyABase_X_fr_HR;
+ Type_fr_HyABase_X_fr_EFE fr_HyABase_X_fr_EFE;
+ Type_fr_HyABase_X_fr_WR fr_HyABase_X_fr_WR;
+ Type_fr_HyABase_X_fr_WFE fr_HyABase_X_fr_WFE;
+ Type_fr_Shoulder_FE_X_fr_Shoulder_AA fr_Shoulder_FE_X_fr_Shoulder_AA;
+ Type_fr_Shoulder_AA_X_fr_Shoulder_FE fr_Shoulder_AA_X_fr_Shoulder_FE;
+ Type_fr_Humerus_R_X_fr_Shoulder_FE fr_Humerus_R_X_fr_Shoulder_FE;
+ Type_fr_Shoulder_FE_X_fr_Humerus_R fr_Shoulder_FE_X_fr_Humerus_R;
+ Type_fr_Elbow_FE_X_fr_Humerus_R fr_Elbow_FE_X_fr_Humerus_R;
+ Type_fr_Humerus_R_X_fr_Elbow_FE fr_Humerus_R_X_fr_Elbow_FE;
+ Type_fr_Wrist_R_X_fr_Elbow_FE fr_Wrist_R_X_fr_Elbow_FE;
+ Type_fr_Elbow_FE_X_fr_Wrist_R fr_Elbow_FE_X_fr_Wrist_R;
+ Type_fr_Wrist_FE_X_fr_Wrist_R fr_Wrist_FE_X_fr_Wrist_R;
+
+protected:
+
+}; //class 'MotionTransforms'
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial force vectors.
+ */
+template <typename TRAIT>
+class ForceTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+ class Dummy {};
+ typedef typename TransformForce<SCALAR, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_HyABase_X_fr_Shoulder_AA : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA();
+ const Type_fr_HyABase_X_fr_Shoulder_AA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE();
+ const Type_fr_HyABase_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R();
+ const Type_fr_HyABase_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE();
+ const Type_fr_HyABase_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R();
+ const Type_fr_HyABase_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_FE : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_FE();
+ const Type_fr_HyABase_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_ee : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_ee();
+ const Type_fr_HyABase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_AA_COM : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA_COM();
+ const Type_fr_HyABase_X_fr_Shoulder_AA_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE_COM : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE_COM();
+ const Type_fr_HyABase_X_fr_Shoulder_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R_COM : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Humerus_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R_COM();
+ const Type_fr_HyABase_X_fr_Humerus_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE_COM : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE_COM();
+ const Type_fr_HyABase_X_fr_Elbow_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R_COM : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Wrist_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R_COM();
+ const Type_fr_HyABase_X_fr_Wrist_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_FE_COM : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Wrist_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_FE_COM();
+ const Type_fr_HyABase_X_fr_Wrist_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_AA_CTR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA_CTR();
+ const Type_fr_HyABase_X_fr_Shoulder_AA_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE_CTR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE_CTR();
+ const Type_fr_HyABase_X_fr_Shoulder_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R_CTR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Humerus_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R_CTR();
+ const Type_fr_HyABase_X_fr_Humerus_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE_CTR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE_CTR();
+ const Type_fr_HyABase_X_fr_Elbow_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R_CTR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_Wrist_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R_CTR();
+ const Type_fr_HyABase_X_fr_Wrist_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Wrist_FE : public TransformForce<SCALAR, Type_fr_Shoulder_FE_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Wrist_FE();
+ const Type_fr_Shoulder_FE_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Wrist_FE : public TransformForce<SCALAR, Type_fr_Humerus_R_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Wrist_FE();
+ const Type_fr_Humerus_R_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Wrist_FE : public TransformForce<SCALAR, Type_fr_Elbow_FE_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Wrist_FE();
+ const Type_fr_Elbow_FE_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_Wrist_FE : public TransformForce<SCALAR, Type_fr_Wrist_R_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_Wrist_FE();
+ const Type_fr_Wrist_R_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_Shoulder_FE : public TransformForce<SCALAR, Type_fr_Wrist_FE_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_Shoulder_FE();
+ const Type_fr_Wrist_FE_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_ee : public TransformForce<SCALAR, Type_fr_Shoulder_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_ee();
+ const Type_fr_Shoulder_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_ee : public TransformForce<SCALAR, Type_fr_Humerus_R_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_ee();
+ const Type_fr_Humerus_R_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_ee : public TransformForce<SCALAR, Type_fr_Elbow_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_ee();
+ const Type_fr_Elbow_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_ee : public TransformForce<SCALAR, Type_fr_Wrist_R_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_ee();
+ const Type_fr_Wrist_R_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_ee : public TransformForce<SCALAR, Type_fr_Wrist_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_ee();
+ const Type_fr_Wrist_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_AA_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_Shoulder_AA_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_AA_X_fr_HyABase();
+ const Type_fr_Shoulder_AA_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_Shoulder_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_HyABase();
+ const Type_fr_Shoulder_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_Humerus_R_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_HyABase();
+ const Type_fr_Humerus_R_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_Elbow_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_HyABase();
+ const Type_fr_Elbow_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_Wrist_R_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_HyABase();
+ const Type_fr_Wrist_R_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_Wrist_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_HyABase();
+ const Type_fr_Wrist_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_HyABase : public TransformForce<SCALAR, Type_fr_ee_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_HyABase();
+ const Type_fr_ee_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_SAA : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_SAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_SAA();
+ const Type_fr_HyABase_X_fr_SAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_SFE : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_SFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_SFE();
+ const Type_fr_HyABase_X_fr_SFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_HR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_HR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_HR();
+ const Type_fr_HyABase_X_fr_HR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_EFE : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_EFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_EFE();
+ const Type_fr_HyABase_X_fr_EFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_WR : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_WR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_WR();
+ const Type_fr_HyABase_X_fr_WR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_WFE : public TransformForce<SCALAR, Type_fr_HyABase_X_fr_WFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_WFE();
+ const Type_fr_HyABase_X_fr_WFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Shoulder_AA : public TransformForce<SCALAR, Type_fr_Shoulder_FE_X_fr_Shoulder_AA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Shoulder_AA();
+ const Type_fr_Shoulder_FE_X_fr_Shoulder_AA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_AA_X_fr_Shoulder_FE : public TransformForce<SCALAR, Type_fr_Shoulder_AA_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_AA_X_fr_Shoulder_FE();
+ const Type_fr_Shoulder_AA_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Shoulder_FE : public TransformForce<SCALAR, Type_fr_Humerus_R_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Shoulder_FE();
+ const Type_fr_Humerus_R_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Humerus_R : public TransformForce<SCALAR, Type_fr_Shoulder_FE_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Humerus_R();
+ const Type_fr_Shoulder_FE_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Humerus_R : public TransformForce<SCALAR, Type_fr_Elbow_FE_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Humerus_R();
+ const Type_fr_Elbow_FE_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Elbow_FE : public TransformForce<SCALAR, Type_fr_Humerus_R_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Elbow_FE();
+ const Type_fr_Humerus_R_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_Elbow_FE : public TransformForce<SCALAR, Type_fr_Wrist_R_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_Elbow_FE();
+ const Type_fr_Wrist_R_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Wrist_R : public TransformForce<SCALAR, Type_fr_Elbow_FE_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Wrist_R();
+ const Type_fr_Elbow_FE_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_Wrist_R : public TransformForce<SCALAR, Type_fr_Wrist_FE_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_Wrist_R();
+ const Type_fr_Wrist_FE_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+public:
+ ForceTransforms();
+ void updateParameters();
+ Type_fr_HyABase_X_fr_Shoulder_AA fr_HyABase_X_fr_Shoulder_AA;
+ Type_fr_HyABase_X_fr_Shoulder_FE fr_HyABase_X_fr_Shoulder_FE;
+ Type_fr_HyABase_X_fr_Humerus_R fr_HyABase_X_fr_Humerus_R;
+ Type_fr_HyABase_X_fr_Elbow_FE fr_HyABase_X_fr_Elbow_FE;
+ Type_fr_HyABase_X_fr_Wrist_R fr_HyABase_X_fr_Wrist_R;
+ Type_fr_HyABase_X_fr_Wrist_FE fr_HyABase_X_fr_Wrist_FE;
+ Type_fr_HyABase_X_fr_ee fr_HyABase_X_fr_ee;
+ Type_fr_HyABase_X_fr_Shoulder_AA_COM fr_HyABase_X_fr_Shoulder_AA_COM;
+ Type_fr_HyABase_X_fr_Shoulder_FE_COM fr_HyABase_X_fr_Shoulder_FE_COM;
+ Type_fr_HyABase_X_fr_Humerus_R_COM fr_HyABase_X_fr_Humerus_R_COM;
+ Type_fr_HyABase_X_fr_Elbow_FE_COM fr_HyABase_X_fr_Elbow_FE_COM;
+ Type_fr_HyABase_X_fr_Wrist_R_COM fr_HyABase_X_fr_Wrist_R_COM;
+ Type_fr_HyABase_X_fr_Wrist_FE_COM fr_HyABase_X_fr_Wrist_FE_COM;
+ Type_fr_HyABase_X_fr_Shoulder_AA_CTR fr_HyABase_X_fr_Shoulder_AA_CTR;
+ Type_fr_HyABase_X_fr_Shoulder_FE_CTR fr_HyABase_X_fr_Shoulder_FE_CTR;
+ Type_fr_HyABase_X_fr_Humerus_R_CTR fr_HyABase_X_fr_Humerus_R_CTR;
+ Type_fr_HyABase_X_fr_Elbow_FE_CTR fr_HyABase_X_fr_Elbow_FE_CTR;
+ Type_fr_HyABase_X_fr_Wrist_R_CTR fr_HyABase_X_fr_Wrist_R_CTR;
+ Type_fr_Shoulder_FE_X_fr_Wrist_FE fr_Shoulder_FE_X_fr_Wrist_FE;
+ Type_fr_Humerus_R_X_fr_Wrist_FE fr_Humerus_R_X_fr_Wrist_FE;
+ Type_fr_Elbow_FE_X_fr_Wrist_FE fr_Elbow_FE_X_fr_Wrist_FE;
+ Type_fr_Wrist_R_X_fr_Wrist_FE fr_Wrist_R_X_fr_Wrist_FE;
+ Type_fr_Wrist_FE_X_fr_Shoulder_FE fr_Wrist_FE_X_fr_Shoulder_FE;
+ Type_fr_Shoulder_FE_X_fr_ee fr_Shoulder_FE_X_fr_ee;
+ Type_fr_Humerus_R_X_fr_ee fr_Humerus_R_X_fr_ee;
+ Type_fr_Elbow_FE_X_fr_ee fr_Elbow_FE_X_fr_ee;
+ Type_fr_Wrist_R_X_fr_ee fr_Wrist_R_X_fr_ee;
+ Type_fr_Wrist_FE_X_fr_ee fr_Wrist_FE_X_fr_ee;
+ Type_fr_Shoulder_AA_X_fr_HyABase fr_Shoulder_AA_X_fr_HyABase;
+ Type_fr_Shoulder_FE_X_fr_HyABase fr_Shoulder_FE_X_fr_HyABase;
+ Type_fr_Humerus_R_X_fr_HyABase fr_Humerus_R_X_fr_HyABase;
+ Type_fr_Elbow_FE_X_fr_HyABase fr_Elbow_FE_X_fr_HyABase;
+ Type_fr_Wrist_R_X_fr_HyABase fr_Wrist_R_X_fr_HyABase;
+ Type_fr_Wrist_FE_X_fr_HyABase fr_Wrist_FE_X_fr_HyABase;
+ Type_fr_ee_X_fr_HyABase fr_ee_X_fr_HyABase;
+ Type_fr_HyABase_X_fr_SAA fr_HyABase_X_fr_SAA;
+ Type_fr_HyABase_X_fr_SFE fr_HyABase_X_fr_SFE;
+ Type_fr_HyABase_X_fr_HR fr_HyABase_X_fr_HR;
+ Type_fr_HyABase_X_fr_EFE fr_HyABase_X_fr_EFE;
+ Type_fr_HyABase_X_fr_WR fr_HyABase_X_fr_WR;
+ Type_fr_HyABase_X_fr_WFE fr_HyABase_X_fr_WFE;
+ Type_fr_Shoulder_FE_X_fr_Shoulder_AA fr_Shoulder_FE_X_fr_Shoulder_AA;
+ Type_fr_Shoulder_AA_X_fr_Shoulder_FE fr_Shoulder_AA_X_fr_Shoulder_FE;
+ Type_fr_Humerus_R_X_fr_Shoulder_FE fr_Humerus_R_X_fr_Shoulder_FE;
+ Type_fr_Shoulder_FE_X_fr_Humerus_R fr_Shoulder_FE_X_fr_Humerus_R;
+ Type_fr_Elbow_FE_X_fr_Humerus_R fr_Elbow_FE_X_fr_Humerus_R;
+ Type_fr_Humerus_R_X_fr_Elbow_FE fr_Humerus_R_X_fr_Elbow_FE;
+ Type_fr_Wrist_R_X_fr_Elbow_FE fr_Wrist_R_X_fr_Elbow_FE;
+ Type_fr_Elbow_FE_X_fr_Wrist_R fr_Elbow_FE_X_fr_Wrist_R;
+ Type_fr_Wrist_FE_X_fr_Wrist_R fr_Wrist_FE_X_fr_Wrist_R;
+
+protected:
+
+}; //class 'ForceTransforms'
+
+/**
+ * The class with the homogeneous (4x4) coordinates transformation
+ * matrices.
+ */
+template <typename TRAIT>
+class HomogeneousTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+ class Dummy {};
+ typedef typename TransformHomogeneous<SCALAR, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_HyABase_X_fr_Shoulder_AA : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA();
+ const Type_fr_HyABase_X_fr_Shoulder_AA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE();
+ const Type_fr_HyABase_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R();
+ const Type_fr_HyABase_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE();
+ const Type_fr_HyABase_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R();
+ const Type_fr_HyABase_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_FE : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_FE();
+ const Type_fr_HyABase_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_ee();
+ const Type_fr_HyABase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_AA_COM : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA_COM();
+ const Type_fr_HyABase_X_fr_Shoulder_AA_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE_COM : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE_COM();
+ const Type_fr_HyABase_X_fr_Shoulder_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R_COM : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Humerus_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R_COM();
+ const Type_fr_HyABase_X_fr_Humerus_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE_COM : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE_COM();
+ const Type_fr_HyABase_X_fr_Elbow_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R_COM : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Wrist_R_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R_COM();
+ const Type_fr_HyABase_X_fr_Wrist_R_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_FE_COM : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Wrist_FE_COM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_FE_COM();
+ const Type_fr_HyABase_X_fr_Wrist_FE_COM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_AA_CTR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Shoulder_AA_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_AA_CTR();
+ const Type_fr_HyABase_X_fr_Shoulder_AA_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Shoulder_FE_CTR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Shoulder_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Shoulder_FE_CTR();
+ const Type_fr_HyABase_X_fr_Shoulder_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Humerus_R_CTR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Humerus_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Humerus_R_CTR();
+ const Type_fr_HyABase_X_fr_Humerus_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Elbow_FE_CTR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Elbow_FE_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Elbow_FE_CTR();
+ const Type_fr_HyABase_X_fr_Elbow_FE_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_Wrist_R_CTR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_Wrist_R_CTR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_Wrist_R_CTR();
+ const Type_fr_HyABase_X_fr_Wrist_R_CTR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Wrist_FE : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_FE_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Wrist_FE();
+ const Type_fr_Shoulder_FE_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Wrist_FE : public TransformHomogeneous<SCALAR, Type_fr_Humerus_R_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Wrist_FE();
+ const Type_fr_Humerus_R_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Wrist_FE : public TransformHomogeneous<SCALAR, Type_fr_Elbow_FE_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Wrist_FE();
+ const Type_fr_Elbow_FE_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_Wrist_FE : public TransformHomogeneous<SCALAR, Type_fr_Wrist_R_X_fr_Wrist_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_Wrist_FE();
+ const Type_fr_Wrist_R_X_fr_Wrist_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_Shoulder_FE : public TransformHomogeneous<SCALAR, Type_fr_Wrist_FE_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_Shoulder_FE();
+ const Type_fr_Wrist_FE_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_ee();
+ const Type_fr_Shoulder_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_Humerus_R_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_ee();
+ const Type_fr_Humerus_R_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_Elbow_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_ee();
+ const Type_fr_Elbow_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_Wrist_R_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_ee();
+ const Type_fr_Wrist_R_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_Wrist_FE_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_ee();
+ const Type_fr_Wrist_FE_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_AA_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_AA_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_AA_X_fr_HyABase();
+ const Type_fr_Shoulder_AA_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_HyABase();
+ const Type_fr_Shoulder_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_Humerus_R_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_HyABase();
+ const Type_fr_Humerus_R_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_Elbow_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_HyABase();
+ const Type_fr_Elbow_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_Wrist_R_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_HyABase();
+ const Type_fr_Wrist_R_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_Wrist_FE_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_HyABase();
+ const Type_fr_Wrist_FE_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_HyABase : public TransformHomogeneous<SCALAR, Type_fr_ee_X_fr_HyABase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_HyABase();
+ const Type_fr_ee_X_fr_HyABase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_SAA : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_SAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_SAA();
+ const Type_fr_HyABase_X_fr_SAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_SFE : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_SFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_SFE();
+ const Type_fr_HyABase_X_fr_SFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_HR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_HR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_HR();
+ const Type_fr_HyABase_X_fr_HR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_EFE : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_EFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_EFE();
+ const Type_fr_HyABase_X_fr_EFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_WR : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_WR>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_WR();
+ const Type_fr_HyABase_X_fr_WR& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_HyABase_X_fr_WFE : public TransformHomogeneous<SCALAR, Type_fr_HyABase_X_fr_WFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_HyABase_X_fr_WFE();
+ const Type_fr_HyABase_X_fr_WFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Shoulder_AA : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_FE_X_fr_Shoulder_AA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Shoulder_AA();
+ const Type_fr_Shoulder_FE_X_fr_Shoulder_AA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_AA_X_fr_Shoulder_FE : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_AA_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_AA_X_fr_Shoulder_FE();
+ const Type_fr_Shoulder_AA_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Shoulder_FE : public TransformHomogeneous<SCALAR, Type_fr_Humerus_R_X_fr_Shoulder_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Shoulder_FE();
+ const Type_fr_Humerus_R_X_fr_Shoulder_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Shoulder_FE_X_fr_Humerus_R : public TransformHomogeneous<SCALAR, Type_fr_Shoulder_FE_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Shoulder_FE_X_fr_Humerus_R();
+ const Type_fr_Shoulder_FE_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Humerus_R : public TransformHomogeneous<SCALAR, Type_fr_Elbow_FE_X_fr_Humerus_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Humerus_R();
+ const Type_fr_Elbow_FE_X_fr_Humerus_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Humerus_R_X_fr_Elbow_FE : public TransformHomogeneous<SCALAR, Type_fr_Humerus_R_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Humerus_R_X_fr_Elbow_FE();
+ const Type_fr_Humerus_R_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_R_X_fr_Elbow_FE : public TransformHomogeneous<SCALAR, Type_fr_Wrist_R_X_fr_Elbow_FE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_R_X_fr_Elbow_FE();
+ const Type_fr_Wrist_R_X_fr_Elbow_FE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Elbow_FE_X_fr_Wrist_R : public TransformHomogeneous<SCALAR, Type_fr_Elbow_FE_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Elbow_FE_X_fr_Wrist_R();
+ const Type_fr_Elbow_FE_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Wrist_FE_X_fr_Wrist_R : public TransformHomogeneous<SCALAR, Type_fr_Wrist_FE_X_fr_Wrist_R>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Wrist_FE_X_fr_Wrist_R();
+ const Type_fr_Wrist_FE_X_fr_Wrist_R& update(const JState&);
+ protected:
+ };
+
+public:
+ HomogeneousTransforms();
+ void updateParameters();
+ Type_fr_HyABase_X_fr_Shoulder_AA fr_HyABase_X_fr_Shoulder_AA;
+ Type_fr_HyABase_X_fr_Shoulder_FE fr_HyABase_X_fr_Shoulder_FE;
+ Type_fr_HyABase_X_fr_Humerus_R fr_HyABase_X_fr_Humerus_R;
+ Type_fr_HyABase_X_fr_Elbow_FE fr_HyABase_X_fr_Elbow_FE;
+ Type_fr_HyABase_X_fr_Wrist_R fr_HyABase_X_fr_Wrist_R;
+ Type_fr_HyABase_X_fr_Wrist_FE fr_HyABase_X_fr_Wrist_FE;
+ Type_fr_HyABase_X_fr_ee fr_HyABase_X_fr_ee;
+ Type_fr_HyABase_X_fr_Shoulder_AA_COM fr_HyABase_X_fr_Shoulder_AA_COM;
+ Type_fr_HyABase_X_fr_Shoulder_FE_COM fr_HyABase_X_fr_Shoulder_FE_COM;
+ Type_fr_HyABase_X_fr_Humerus_R_COM fr_HyABase_X_fr_Humerus_R_COM;
+ Type_fr_HyABase_X_fr_Elbow_FE_COM fr_HyABase_X_fr_Elbow_FE_COM;
+ Type_fr_HyABase_X_fr_Wrist_R_COM fr_HyABase_X_fr_Wrist_R_COM;
+ Type_fr_HyABase_X_fr_Wrist_FE_COM fr_HyABase_X_fr_Wrist_FE_COM;
+ Type_fr_HyABase_X_fr_Shoulder_AA_CTR fr_HyABase_X_fr_Shoulder_AA_CTR;
+ Type_fr_HyABase_X_fr_Shoulder_FE_CTR fr_HyABase_X_fr_Shoulder_FE_CTR;
+ Type_fr_HyABase_X_fr_Humerus_R_CTR fr_HyABase_X_fr_Humerus_R_CTR;
+ Type_fr_HyABase_X_fr_Elbow_FE_CTR fr_HyABase_X_fr_Elbow_FE_CTR;
+ Type_fr_HyABase_X_fr_Wrist_R_CTR fr_HyABase_X_fr_Wrist_R_CTR;
+ Type_fr_Shoulder_FE_X_fr_Wrist_FE fr_Shoulder_FE_X_fr_Wrist_FE;
+ Type_fr_Humerus_R_X_fr_Wrist_FE fr_Humerus_R_X_fr_Wrist_FE;
+ Type_fr_Elbow_FE_X_fr_Wrist_FE fr_Elbow_FE_X_fr_Wrist_FE;
+ Type_fr_Wrist_R_X_fr_Wrist_FE fr_Wrist_R_X_fr_Wrist_FE;
+ Type_fr_Wrist_FE_X_fr_Shoulder_FE fr_Wrist_FE_X_fr_Shoulder_FE;
+ Type_fr_Shoulder_FE_X_fr_ee fr_Shoulder_FE_X_fr_ee;
+ Type_fr_Humerus_R_X_fr_ee fr_Humerus_R_X_fr_ee;
+ Type_fr_Elbow_FE_X_fr_ee fr_Elbow_FE_X_fr_ee;
+ Type_fr_Wrist_R_X_fr_ee fr_Wrist_R_X_fr_ee;
+ Type_fr_Wrist_FE_X_fr_ee fr_Wrist_FE_X_fr_ee;
+ Type_fr_Shoulder_AA_X_fr_HyABase fr_Shoulder_AA_X_fr_HyABase;
+ Type_fr_Shoulder_FE_X_fr_HyABase fr_Shoulder_FE_X_fr_HyABase;
+ Type_fr_Humerus_R_X_fr_HyABase fr_Humerus_R_X_fr_HyABase;
+ Type_fr_Elbow_FE_X_fr_HyABase fr_Elbow_FE_X_fr_HyABase;
+ Type_fr_Wrist_R_X_fr_HyABase fr_Wrist_R_X_fr_HyABase;
+ Type_fr_Wrist_FE_X_fr_HyABase fr_Wrist_FE_X_fr_HyABase;
+ Type_fr_ee_X_fr_HyABase fr_ee_X_fr_HyABase;
+ Type_fr_HyABase_X_fr_SAA fr_HyABase_X_fr_SAA;
+ Type_fr_HyABase_X_fr_SFE fr_HyABase_X_fr_SFE;
+ Type_fr_HyABase_X_fr_HR fr_HyABase_X_fr_HR;
+ Type_fr_HyABase_X_fr_EFE fr_HyABase_X_fr_EFE;
+ Type_fr_HyABase_X_fr_WR fr_HyABase_X_fr_WR;
+ Type_fr_HyABase_X_fr_WFE fr_HyABase_X_fr_WFE;
+ Type_fr_Shoulder_FE_X_fr_Shoulder_AA fr_Shoulder_FE_X_fr_Shoulder_AA;
+ Type_fr_Shoulder_AA_X_fr_Shoulder_FE fr_Shoulder_AA_X_fr_Shoulder_FE;
+ Type_fr_Humerus_R_X_fr_Shoulder_FE fr_Humerus_R_X_fr_Shoulder_FE;
+ Type_fr_Shoulder_FE_X_fr_Humerus_R fr_Shoulder_FE_X_fr_Humerus_R;
+ Type_fr_Elbow_FE_X_fr_Humerus_R fr_Elbow_FE_X_fr_Humerus_R;
+ Type_fr_Humerus_R_X_fr_Elbow_FE fr_Humerus_R_X_fr_Elbow_FE;
+ Type_fr_Wrist_R_X_fr_Elbow_FE fr_Wrist_R_X_fr_Elbow_FE;
+ Type_fr_Elbow_FE_X_fr_Wrist_R fr_Elbow_FE_X_fr_Wrist_R;
+ Type_fr_Wrist_FE_X_fr_Wrist_R fr_Wrist_FE_X_fr_Wrist_R;
+
+protected:
+
+}; //class 'HomogeneousTransforms'
+
+} // namespace tpl
+
+using MotionTransforms = tpl::MotionTransforms<rbd::DoubleTrait>;
+using ForceTransforms = tpl::ForceTransforms<rbd::DoubleTrait>;
+using HomogeneousTransforms = tpl::HomogeneousTransforms<rbd::DoubleTrait>;
+
+}
+}
+
+#include "transforms.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyA/generated/transforms.impl.h b/ct_models/include/ct/models/HyA/generated/transforms.impl.h
new file mode 100644
index 0000000..86d5a31
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/transforms.impl.h
@@ -0,0 +1,7732 @@
+
+// Constructors
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::MotionTransforms
+ ()
+ :
+ fr_HyABase_X_fr_Shoulder_AA(),
+ fr_HyABase_X_fr_Shoulder_FE(),
+ fr_HyABase_X_fr_Humerus_R(),
+ fr_HyABase_X_fr_Elbow_FE(),
+ fr_HyABase_X_fr_Wrist_R(),
+ fr_HyABase_X_fr_Wrist_FE(),
+ fr_HyABase_X_fr_ee(),
+ fr_HyABase_X_fr_Shoulder_AA_COM(),
+ fr_HyABase_X_fr_Shoulder_FE_COM(),
+ fr_HyABase_X_fr_Humerus_R_COM(),
+ fr_HyABase_X_fr_Elbow_FE_COM(),
+ fr_HyABase_X_fr_Wrist_R_COM(),
+ fr_HyABase_X_fr_Wrist_FE_COM(),
+ fr_HyABase_X_fr_Shoulder_AA_CTR(),
+ fr_HyABase_X_fr_Shoulder_FE_CTR(),
+ fr_HyABase_X_fr_Humerus_R_CTR(),
+ fr_HyABase_X_fr_Elbow_FE_CTR(),
+ fr_HyABase_X_fr_Wrist_R_CTR(),
+ fr_Shoulder_FE_X_fr_Wrist_FE(),
+ fr_Humerus_R_X_fr_Wrist_FE(),
+ fr_Elbow_FE_X_fr_Wrist_FE(),
+ fr_Wrist_R_X_fr_Wrist_FE(),
+ fr_Wrist_FE_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_ee(),
+ fr_Humerus_R_X_fr_ee(),
+ fr_Elbow_FE_X_fr_ee(),
+ fr_Wrist_R_X_fr_ee(),
+ fr_Wrist_FE_X_fr_ee(),
+ fr_Shoulder_AA_X_fr_HyABase(),
+ fr_Shoulder_FE_X_fr_HyABase(),
+ fr_Humerus_R_X_fr_HyABase(),
+ fr_Elbow_FE_X_fr_HyABase(),
+ fr_Wrist_R_X_fr_HyABase(),
+ fr_Wrist_FE_X_fr_HyABase(),
+ fr_ee_X_fr_HyABase(),
+ fr_HyABase_X_fr_SAA(),
+ fr_HyABase_X_fr_SFE(),
+ fr_HyABase_X_fr_HR(),
+ fr_HyABase_X_fr_EFE(),
+ fr_HyABase_X_fr_WR(),
+ fr_HyABase_X_fr_WFE(),
+ fr_Shoulder_FE_X_fr_Shoulder_AA(),
+ fr_Shoulder_AA_X_fr_Shoulder_FE(),
+ fr_Humerus_R_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_Humerus_R(),
+ fr_Elbow_FE_X_fr_Humerus_R(),
+ fr_Humerus_R_X_fr_Elbow_FE(),
+ fr_Wrist_R_X_fr_Elbow_FE(),
+ fr_Elbow_FE_X_fr_Wrist_R(),
+ fr_Wrist_FE_X_fr_Wrist_R()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_HyA::tpl::MotionTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::ForceTransforms
+ ()
+ :
+ fr_HyABase_X_fr_Shoulder_AA(),
+ fr_HyABase_X_fr_Shoulder_FE(),
+ fr_HyABase_X_fr_Humerus_R(),
+ fr_HyABase_X_fr_Elbow_FE(),
+ fr_HyABase_X_fr_Wrist_R(),
+ fr_HyABase_X_fr_Wrist_FE(),
+ fr_HyABase_X_fr_ee(),
+ fr_HyABase_X_fr_Shoulder_AA_COM(),
+ fr_HyABase_X_fr_Shoulder_FE_COM(),
+ fr_HyABase_X_fr_Humerus_R_COM(),
+ fr_HyABase_X_fr_Elbow_FE_COM(),
+ fr_HyABase_X_fr_Wrist_R_COM(),
+ fr_HyABase_X_fr_Wrist_FE_COM(),
+ fr_HyABase_X_fr_Shoulder_AA_CTR(),
+ fr_HyABase_X_fr_Shoulder_FE_CTR(),
+ fr_HyABase_X_fr_Humerus_R_CTR(),
+ fr_HyABase_X_fr_Elbow_FE_CTR(),
+ fr_HyABase_X_fr_Wrist_R_CTR(),
+ fr_Shoulder_FE_X_fr_Wrist_FE(),
+ fr_Humerus_R_X_fr_Wrist_FE(),
+ fr_Elbow_FE_X_fr_Wrist_FE(),
+ fr_Wrist_R_X_fr_Wrist_FE(),
+ fr_Wrist_FE_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_ee(),
+ fr_Humerus_R_X_fr_ee(),
+ fr_Elbow_FE_X_fr_ee(),
+ fr_Wrist_R_X_fr_ee(),
+ fr_Wrist_FE_X_fr_ee(),
+ fr_Shoulder_AA_X_fr_HyABase(),
+ fr_Shoulder_FE_X_fr_HyABase(),
+ fr_Humerus_R_X_fr_HyABase(),
+ fr_Elbow_FE_X_fr_HyABase(),
+ fr_Wrist_R_X_fr_HyABase(),
+ fr_Wrist_FE_X_fr_HyABase(),
+ fr_ee_X_fr_HyABase(),
+ fr_HyABase_X_fr_SAA(),
+ fr_HyABase_X_fr_SFE(),
+ fr_HyABase_X_fr_HR(),
+ fr_HyABase_X_fr_EFE(),
+ fr_HyABase_X_fr_WR(),
+ fr_HyABase_X_fr_WFE(),
+ fr_Shoulder_FE_X_fr_Shoulder_AA(),
+ fr_Shoulder_AA_X_fr_Shoulder_FE(),
+ fr_Humerus_R_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_Humerus_R(),
+ fr_Elbow_FE_X_fr_Humerus_R(),
+ fr_Humerus_R_X_fr_Elbow_FE(),
+ fr_Wrist_R_X_fr_Elbow_FE(),
+ fr_Elbow_FE_X_fr_Wrist_R(),
+ fr_Wrist_FE_X_fr_Wrist_R()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_HyA::tpl::ForceTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::HomogeneousTransforms
+ ()
+ :
+ fr_HyABase_X_fr_Shoulder_AA(),
+ fr_HyABase_X_fr_Shoulder_FE(),
+ fr_HyABase_X_fr_Humerus_R(),
+ fr_HyABase_X_fr_Elbow_FE(),
+ fr_HyABase_X_fr_Wrist_R(),
+ fr_HyABase_X_fr_Wrist_FE(),
+ fr_HyABase_X_fr_ee(),
+ fr_HyABase_X_fr_Shoulder_AA_COM(),
+ fr_HyABase_X_fr_Shoulder_FE_COM(),
+ fr_HyABase_X_fr_Humerus_R_COM(),
+ fr_HyABase_X_fr_Elbow_FE_COM(),
+ fr_HyABase_X_fr_Wrist_R_COM(),
+ fr_HyABase_X_fr_Wrist_FE_COM(),
+ fr_HyABase_X_fr_Shoulder_AA_CTR(),
+ fr_HyABase_X_fr_Shoulder_FE_CTR(),
+ fr_HyABase_X_fr_Humerus_R_CTR(),
+ fr_HyABase_X_fr_Elbow_FE_CTR(),
+ fr_HyABase_X_fr_Wrist_R_CTR(),
+ fr_Shoulder_FE_X_fr_Wrist_FE(),
+ fr_Humerus_R_X_fr_Wrist_FE(),
+ fr_Elbow_FE_X_fr_Wrist_FE(),
+ fr_Wrist_R_X_fr_Wrist_FE(),
+ fr_Wrist_FE_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_ee(),
+ fr_Humerus_R_X_fr_ee(),
+ fr_Elbow_FE_X_fr_ee(),
+ fr_Wrist_R_X_fr_ee(),
+ fr_Wrist_FE_X_fr_ee(),
+ fr_Shoulder_AA_X_fr_HyABase(),
+ fr_Shoulder_FE_X_fr_HyABase(),
+ fr_Humerus_R_X_fr_HyABase(),
+ fr_Elbow_FE_X_fr_HyABase(),
+ fr_Wrist_R_X_fr_HyABase(),
+ fr_Wrist_FE_X_fr_HyABase(),
+ fr_ee_X_fr_HyABase(),
+ fr_HyABase_X_fr_SAA(),
+ fr_HyABase_X_fr_SFE(),
+ fr_HyABase_X_fr_HR(),
+ fr_HyABase_X_fr_EFE(),
+ fr_HyABase_X_fr_WR(),
+ fr_HyABase_X_fr_WFE(),
+ fr_Shoulder_FE_X_fr_Shoulder_AA(),
+ fr_Shoulder_AA_X_fr_Shoulder_FE(),
+ fr_Humerus_R_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_Humerus_R(),
+ fr_Elbow_FE_X_fr_Humerus_R(),
+ fr_Humerus_R_X_fr_Elbow_FE(),
+ fr_Wrist_R_X_fr_Elbow_FE(),
+ fr_Elbow_FE_X_fr_Wrist_R(),
+ fr_Wrist_FE_X_fr_Wrist_R()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::Type_fr_HyABase_X_fr_Shoulder_AA()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::Type_fr_HyABase_X_fr_Shoulder_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(3,2) = ( 0.178 * cos__q_SAA__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,2) = ( 0.178 * sin__q_SAA__);
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::Type_fr_HyABase_X_fr_Humerus_R()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,1) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::Type_fr_HyABase_X_fr_Elbow_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,0) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,1) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::Type_fr_HyABase_X_fr_Wrist_R()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,1) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,1) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(5,1) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::Type_fr_HyABase_X_fr_Wrist_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,1) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(5,1) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::Type_fr_HyABase_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,2) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,1) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(5,1) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::Type_fr_HyABase_X_fr_Shoulder_AA_COM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 3.6E-4;
+ (*this)(5,1) = - 2.0E-4;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,0) = (- 0.00309 * sin__q_SAA__);
+ (*this)(3,1) = (- 0.00309 * cos__q_SAA__);
+ (*this)(3,2) = ((- 2.0E-4 * sin__q_SAA__) - ( 3.6E-4 * cos__q_SAA__));
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,0) = ( 0.00309 * cos__q_SAA__);
+ (*this)(4,1) = (- 0.00309 * sin__q_SAA__);
+ (*this)(4,2) = (( 2.0E-4 * cos__q_SAA__) - ( 3.6E-4 * sin__q_SAA__));
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::Type_fr_HyABase_X_fr_Shoulder_FE_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,0) = ((((- 0.00117 * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.02338 * sin__q_SAA__));
+ (*this)(3,1) = (((( 0.178 * sin__q_SAA__) * sin__q_SFE__) - (( 0.00117 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.00383 * sin__q_SAA__));
+ (*this)(3,2) = ((((- 0.00383 * cos__q_SAA__) * sin__q_SFE__) - (( 0.02338 * cos__q_SAA__) * cos__q_SFE__)) + ( 0.178 * cos__q_SAA__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = ((((- 0.00117 * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.02338 * cos__q_SAA__));
+ (*this)(4,1) = ((((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - (( 0.00117 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.00383 * cos__q_SAA__));
+ (*this)(4,2) = ((((- 0.00383 * sin__q_SAA__) * sin__q_SFE__) - (( 0.02338 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.178 * sin__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,0) = ( 0.00117 * cos__q_SFE__);
+ (*this)(5,1) = (- 0.00117 * sin__q_SFE__);
+ (*this)(5,2) = (( 0.00383 * cos__q_SFE__) - ( 0.02338 * sin__q_SFE__));
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::Type_fr_HyABase_X_fr_Humerus_R_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = ((((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.08646 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = (((((((- 0.08646 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.08646 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((( 0.08646 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = ((( 0.08646 * cos__q_HR__) * cos__q_SFE__) - ( 0.00618 * sin__q_SFE__));
+ (*this)(5,1) = ((- 0.00239 * sin__q_SFE__) - (( 0.08646 * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,2) = ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::Type_fr_HyABase_X_fr_Elbow_FE_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.178 * cos__q_EFE__) * sin__q_SAA__) - (( 0.00102 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + (((( 0.00102 * cos__q_EFE__) * sin__q_HR__) + ((( 0.416 * sin__q_EFE__) + 0.01125) * cos__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * sin__q_EFE__) * sin__q_SAA__) - (( 0.00102 * cos__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * cos__q_HR__) - (( 0.00102 * sin__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (((((((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * cos__q_EFE__) * cos__q_SAA__) - (( 0.00102 * sin__q_EFE__) * sin__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((((- 0.416 * sin__q_EFE__) - 0.01125) * cos__q_HR__) - (( 0.00102 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(4,1) = (((((((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.00102 * cos__q_EFE__) * sin__q_SAA__) - (( 0.178 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((( 0.00102 * sin__q_EFE__) * sin__q_HR__) + (( 0.1466 - ( 0.416 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(4,2) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,0) = ((((((- 0.416 * sin__q_EFE__) - 0.01125) * sin__q_HR__) + (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(5,1) = ((((( 0.1466 - ( 0.416 * cos__q_EFE__)) * sin__q_HR__) - (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * cos__q_EFE__) * sin__q_SFE__));
+ (*this)(5,2) = ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SFE__) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::Type_fr_HyABase_X_fr_Wrist_R_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,1) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,2) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.08883 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__)) + (( 0.00261 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,1) = ((((((( 0.08883 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 4.0E-4 * cos__q_EFE__) * sin__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,2) = (((((( 0.00261 * sin__q_EFE__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__) + (((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::Type_fr_HyABase_X_fr_Wrist_FE_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = (((((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,2) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((- 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = ((((((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,1) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,2) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.07876 * cos__q_HR__) * cos__q_SAA__) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = (((((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) + (((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(5,1) = (((((((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SFE__) - (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (( 0.07876 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,2) = ((((((((((((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + ((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.01063 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.07876 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + ((((- 0.07876 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((- 0.01063 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR::Type_fr_HyABase_X_fr_Shoulder_AA_CTR()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,0) = (- 0.089 * sin__q_SAA__);
+ (*this)(3,1) = (- 0.089 * cos__q_SAA__);
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,0) = ( 0.089 * cos__q_SAA__);
+ (*this)(4,1) = (- 0.089 * sin__q_SAA__);
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR::Type_fr_HyABase_X_fr_Shoulder_FE_CTR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = ((( 0.178 * sin__q_SAA__) * sin__q_SFE__) + ( 0.056 * sin__q_SAA__));
+ (*this)(3,2) = ((( 0.056 * cos__q_SAA__) * sin__q_SFE__) + ( 0.178 * cos__q_SAA__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = (((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - ( 0.056 * cos__q_SAA__));
+ (*this)(4,2) = ((( 0.056 * sin__q_SAA__) * sin__q_SFE__) + ( 0.178 * sin__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,2) = (- 0.056 * cos__q_SFE__);
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR::Type_fr_HyABase_X_fr_Humerus_R_CTR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.264 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.264 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.264 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.264 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = ((((((- 0.264 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.264 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((( 0.264 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.264 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = (( 0.264 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,1) = ((- 0.264 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR::Type_fr_HyABase_X_fr_Elbow_FE_CTR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.056) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.056) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = ((((((((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.056 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.056 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((((( 0.416 * cos__q_EFE__) + 0.056) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.056) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((((((((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.056 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.056 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,0) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,1) = ((((- 0.416 * cos__q_EFE__) - 0.056) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = ((( 0.056 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.056 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR::Type_fr_HyABase_X_fr_Wrist_R_CTR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.204) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.204 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,1) = ((((((((((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.204 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.204 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.204) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = ((((((((((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.204) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.204 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,1) = ((((((((((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.204 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.204 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.204) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((((- 0.416 * cos__q_EFE__) - 0.204) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.204 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(5,1) = ((((( 0.204 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.204) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::Type_fr_Shoulder_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(3,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(3,1) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(3,2) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,0) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,1) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(4,2) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,0) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(5,1) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::Type_fr_Humerus_R_X_fr_Wrist_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(3,0) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(3,1) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__) - ( 0.02075 * sin__q_WFE__)) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(3,2) = (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WR__);
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,0) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = (((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,2) = ((((- 0.296 * cos__q_EFE__) - 0.304) * sin__q_WR__) + ( 0.02075 * sin__q_EFE__));
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(5,1) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(5,2) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::Type_fr_Elbow_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0.02075;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,2) = (- 0.296 * sin__q_WR__);
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(5,1) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(5,2) = ( 0.296 * cos__q_WR__);
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::Type_fr_Wrist_R_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = - 0.184;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.02075;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(4,0) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(4,1) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::Type_fr_Wrist_FE_X_fr_Shoulder_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(0,2) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(1,0) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,0) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(3,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(3,1) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(3,2) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(3,5) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,0) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(4,2) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,3) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,0) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(5,1) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(5,2) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(5,3) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::Type_fr_Shoulder_FE_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(3,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(3,1) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(3,2) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,0) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,1) = (((((((- 0.02075 * sin__q_HR__) * sin__q_WFE__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__)) - ( 0.03 * sin__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(4,2) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) - (( 0.03 * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,0) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(5,1) = ((((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) + ( 0.03 * cos__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * sin__q_HR__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((( 0.03 * cos__q_HR__) * cos__q_WFE__) + ((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::Type_fr_Humerus_R_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(3,0) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(3,1) = (((((- 0.02075 * sin__q_WFE__) + (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__)) - 0.03) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(3,2) = ((((- 0.03 * cos__q_WFE__) - ( 0.304 * cos__q_EFE__)) - 0.296) * cos__q_WR__);
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,0) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = ((((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) + ( 0.03 * cos__q_EFE__)) * cos__q_WR__);
+ (*this)(4,2) = (((((((- 0.03 * cos__q_EFE__) * cos__q_WFE__) - ( 0.296 * cos__q_EFE__)) - 0.304) * sin__q_WR__) + (( 0.03 * sin__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * sin__q_EFE__));
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(5,1) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(5,2) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::Type_fr_Elbow_FE_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(3,2) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * cos__q_WR__);
+ (*this)(4,2) = (((- 0.03 * cos__q_WFE__) - 0.296) * sin__q_WR__);
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(5,1) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * sin__q_WR__);
+ (*this)(5,2) = ((( 0.03 * cos__q_WFE__) + 0.296) * cos__q_WR__);
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::Type_fr_Wrist_R_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(3,2) = ((- 0.03 * cos__q_WFE__) - 0.184);
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(4,0) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(4,1) = ((( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__)) + 0.03);
+ (*this)(5,2) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::Type_fr_Wrist_FE_X_fr_ee()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.03;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0.03;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::Type_fr_Shoulder_AA_X_fr_HyABase()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,0) = - sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = sin__q_SAA__;
+ (*this)(4,3) = - sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::Type_fr_Shoulder_FE_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(1,0) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(2,0) = sin__q_SAA__;
+ (*this)(2,1) = - cos__q_SAA__;
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,0) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(4,1) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,3) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = cos__q_SFE__;
+ (*this)(5,0) = ( 0.178 * cos__q_SAA__);
+ (*this)(5,1) = ( 0.178 * sin__q_SAA__);
+ (*this)(5,3) = sin__q_SAA__;
+ (*this)(5,4) = - cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::Type_fr_Humerus_R_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(1,0) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(4,0) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(4,3) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(5,1) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(5,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(5,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::Type_fr_Elbow_FE_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(1,0) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,0) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(2,1) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(4,0) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(4,3) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,0) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(5,4) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::Type_fr_Wrist_R_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(1,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,1) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(4,0) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,1) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(4,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::Type_fr_Wrist_FE_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,2) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,0) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,1) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,0) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,1) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::Type_fr_ee_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,2) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,0) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,1) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,0) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,1) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::Type_fr_HyABase_X_fr_SAA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::Type_fr_HyABase_X_fr_SFE()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(3,0) = (- 0.178 * sin__q_SAA__);
+ (*this)(3,2) = ( 0.178 * cos__q_SAA__);
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = ( 0.178 * cos__q_SAA__);
+ (*this)(4,2) = ( 0.178 * sin__q_SAA__);
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,5) = - cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::Type_fr_HyABase_X_fr_HR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = - sin__q_SAA__;
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = cos__q_SAA__;
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((- 0.112 * cos__q_SAA__) * sin__q_SFE__) - ( 0.178 * cos__q_SAA__));
+ (*this)(3,1) = ((( 0.178 * sin__q_SAA__) * sin__q_SFE__) + ( 0.112 * sin__q_SAA__));
+ (*this)(3,2) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = - sin__q_SAA__;
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = (((- 0.112 * sin__q_SAA__) * sin__q_SFE__) - ( 0.178 * sin__q_SAA__));
+ (*this)(4,1) = (((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - ( 0.112 * cos__q_SAA__));
+ (*this)(4,2) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,3) = cos__q_SAA__;
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = ( 0.112 * cos__q_SFE__);
+ (*this)(5,4) = cos__q_SFE__;
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::Type_fr_HyABase_X_fr_EFE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.416 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.416 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = (((((( 0.416 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.416 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,1) = ((- 0.416 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::Type_fr_HyABase_X_fr_WR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = (((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(5,1) = ((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::Type_fr_HyABase_X_fr_WFE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = ((((((((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = ((((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,1) = ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(5,2) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::Type_fr_Shoulder_FE_X_fr_Shoulder_AA()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0.178;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(1,0) = - sin__q_SFE__;
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(3,1) = ( 0.178 * cos__q_SFE__);
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,1) = (- 0.178 * sin__q_SFE__);
+ (*this)(4,3) = - sin__q_SFE__;
+ (*this)(4,5) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::Type_fr_Shoulder_AA_X_fr_Shoulder_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0.178;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,1) = - sin__q_SFE__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,4) = - sin__q_SFE__;
+ (*this)(4,0) = ( 0.178 * cos__q_SFE__);
+ (*this)(4,1) = (- 0.178 * sin__q_SFE__);
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::Type_fr_Humerus_R_X_fr_Shoulder_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,1) = sin__q_HR__;
+ (*this)(0,2) = - cos__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,2) = sin__q_HR__;
+ (*this)(3,1) = ( 0.112 * cos__q_HR__);
+ (*this)(3,2) = ( 0.112 * sin__q_HR__);
+ (*this)(3,4) = sin__q_HR__;
+ (*this)(3,5) = - cos__q_HR__;
+ (*this)(4,1) = (- 0.112 * sin__q_HR__);
+ (*this)(4,2) = ( 0.112 * cos__q_HR__);
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(4,5) = sin__q_HR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::Type_fr_Shoulder_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(1,0) = sin__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(2,0) = - cos__q_HR__;
+ (*this)(2,1) = sin__q_HR__;
+ (*this)(4,0) = ( 0.112 * cos__q_HR__);
+ (*this)(4,1) = (- 0.112 * sin__q_HR__);
+ (*this)(4,3) = sin__q_HR__;
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(5,0) = ( 0.112 * sin__q_HR__);
+ (*this)(5,1) = ( 0.112 * cos__q_HR__);
+ (*this)(5,3) = - cos__q_HR__;
+ (*this)(5,4) = sin__q_HR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::Type_fr_Elbow_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.304;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,1) = sin__q_EFE__;
+ (*this)(0,2) = cos__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(1,2) = - sin__q_EFE__;
+ (*this)(3,0) = (- 0.304 * sin__q_EFE__);
+ (*this)(3,4) = sin__q_EFE__;
+ (*this)(3,5) = cos__q_EFE__;
+ (*this)(4,0) = (- 0.304 * cos__q_EFE__);
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(4,5) = - sin__q_EFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::Type_fr_Humerus_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.304;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(1,0) = sin__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(2,0) = cos__q_EFE__;
+ (*this)(2,1) = - sin__q_EFE__;
+ (*this)(3,0) = (- 0.304 * sin__q_EFE__);
+ (*this)(3,1) = (- 0.304 * cos__q_EFE__);
+ (*this)(4,3) = sin__q_EFE__;
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(5,3) = cos__q_EFE__;
+ (*this)(5,4) = - sin__q_EFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::Type_fr_Wrist_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,1) = sin__q_WR__;
+ (*this)(0,2) = - cos__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,2) = sin__q_WR__;
+ (*this)(3,1) = ( 0.112 * cos__q_WR__);
+ (*this)(3,2) = ( 0.112 * sin__q_WR__);
+ (*this)(3,4) = sin__q_WR__;
+ (*this)(3,5) = - cos__q_WR__;
+ (*this)(4,1) = (- 0.112 * sin__q_WR__);
+ (*this)(4,2) = ( 0.112 * cos__q_WR__);
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(4,5) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::Type_fr_Elbow_FE_X_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(1,0) = sin__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(2,0) = - cos__q_WR__;
+ (*this)(2,1) = sin__q_WR__;
+ (*this)(4,0) = ( 0.112 * cos__q_WR__);
+ (*this)(4,1) = (- 0.112 * sin__q_WR__);
+ (*this)(4,3) = sin__q_WR__;
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(5,0) = ( 0.112 * sin__q_WR__);
+ (*this)(5,1) = ( 0.112 * cos__q_WR__);
+ (*this)(5,3) = - cos__q_WR__;
+ (*this)(5,4) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::Type_fr_Wrist_FE_X_fr_Wrist_R()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = - 0.184;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.02075;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R& iit::ct_HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,2) = cos__q_WFE__;
+ (*this)(1,0) = cos__q_WFE__;
+ (*this)(1,2) = - sin__q_WFE__;
+ (*this)(3,1) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,5) = cos__q_WFE__;
+ (*this)(4,1) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(4,3) = cos__q_WFE__;
+ (*this)(4,5) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::Type_fr_HyABase_X_fr_Shoulder_AA()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::Type_fr_HyABase_X_fr_Shoulder_FE()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(0,5) = ( 0.178 * cos__q_SAA__);
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,4) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(1,5) = ( 0.178 * sin__q_SAA__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::Type_fr_HyABase_X_fr_Humerus_R()
+{
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(2,4) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::Type_fr_HyABase_X_fr_Elbow_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,4) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::Type_fr_HyABase_X_fr_Wrist_R()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,4) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,4) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(2,4) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::Type_fr_HyABase_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,4) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(2,4) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::Type_fr_HyABase_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,5) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,4) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(2,4) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::Type_fr_HyABase_X_fr_Shoulder_AA_COM()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 3.6E-4;
+ (*this)(2,4) = - 2.0E-4;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(0,3) = (- 0.00309 * sin__q_SAA__);
+ (*this)(0,4) = (- 0.00309 * cos__q_SAA__);
+ (*this)(0,5) = ((- 2.0E-4 * sin__q_SAA__) - ( 3.6E-4 * cos__q_SAA__));
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(1,3) = ( 0.00309 * cos__q_SAA__);
+ (*this)(1,4) = (- 0.00309 * sin__q_SAA__);
+ (*this)(1,5) = (( 2.0E-4 * cos__q_SAA__) - ( 3.6E-4 * sin__q_SAA__));
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::Type_fr_HyABase_X_fr_Shoulder_FE_COM()
+{
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = ((((- 0.00117 * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.02338 * sin__q_SAA__));
+ (*this)(0,4) = (((( 0.178 * sin__q_SAA__) * sin__q_SFE__) - (( 0.00117 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.00383 * sin__q_SAA__));
+ (*this)(0,5) = ((((- 0.00383 * cos__q_SAA__) * sin__q_SFE__) - (( 0.02338 * cos__q_SAA__) * cos__q_SFE__)) + ( 0.178 * cos__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = ((((- 0.00117 * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.02338 * cos__q_SAA__));
+ (*this)(1,4) = ((((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - (( 0.00117 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.00383 * cos__q_SAA__));
+ (*this)(1,5) = ((((- 0.00383 * sin__q_SAA__) * sin__q_SFE__) - (( 0.02338 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.178 * sin__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,3) = ( 0.00117 * cos__q_SFE__);
+ (*this)(2,4) = (- 0.00117 * sin__q_SFE__);
+ (*this)(2,5) = (( 0.00383 * cos__q_SFE__) - ( 0.02338 * sin__q_SFE__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::Type_fr_HyABase_X_fr_Humerus_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = ((((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.08646 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (((((((- 0.08646 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.08646 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((( 0.08646 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((( 0.08646 * cos__q_HR__) * cos__q_SFE__) - ( 0.00618 * sin__q_SFE__));
+ (*this)(2,4) = ((- 0.00239 * sin__q_SFE__) - (( 0.08646 * sin__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::Type_fr_HyABase_X_fr_Elbow_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.178 * cos__q_EFE__) * sin__q_SAA__) - (( 0.00102 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + (((( 0.00102 * cos__q_EFE__) * sin__q_HR__) + ((( 0.416 * sin__q_EFE__) + 0.01125) * cos__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * sin__q_EFE__) * sin__q_SAA__) - (( 0.00102 * cos__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * cos__q_HR__) - (( 0.00102 * sin__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * cos__q_EFE__) * cos__q_SAA__) - (( 0.00102 * sin__q_EFE__) * sin__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((((- 0.416 * sin__q_EFE__) - 0.01125) * cos__q_HR__) - (( 0.00102 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(1,4) = (((((((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.00102 * cos__q_EFE__) * sin__q_SAA__) - (( 0.178 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((( 0.00102 * sin__q_EFE__) * sin__q_HR__) + (( 0.1466 - ( 0.416 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(1,5) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = ((((((- 0.416 * sin__q_EFE__) - 0.01125) * sin__q_HR__) + (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(2,4) = ((((( 0.1466 - ( 0.416 * cos__q_EFE__)) * sin__q_HR__) - (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * cos__q_EFE__) * sin__q_SFE__));
+ (*this)(2,5) = ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SFE__) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::Type_fr_HyABase_X_fr_Wrist_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,4) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,5) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.08883 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__)) + (( 0.00261 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,4) = ((((((( 0.08883 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 4.0E-4 * cos__q_EFE__) * sin__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = (((((( 0.00261 * sin__q_EFE__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__) + (((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::Type_fr_HyABase_X_fr_Wrist_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,5) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((- 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = ((((((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,4) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,5) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.07876 * cos__q_HR__) * cos__q_SAA__) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) + (((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(2,4) = (((((((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SFE__) - (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (( 0.07876 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,5) = ((((((((((((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + ((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.01063 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.07876 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + ((((- 0.07876 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((- 0.01063 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR::Type_fr_HyABase_X_fr_Shoulder_AA_CTR()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(0,3) = (- 0.089 * sin__q_SAA__);
+ (*this)(0,4) = (- 0.089 * cos__q_SAA__);
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(1,3) = ( 0.089 * cos__q_SAA__);
+ (*this)(1,4) = (- 0.089 * sin__q_SAA__);
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR::Type_fr_HyABase_X_fr_Shoulder_FE_CTR()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = ((( 0.178 * sin__q_SAA__) * sin__q_SFE__) + ( 0.056 * sin__q_SAA__));
+ (*this)(0,5) = ((( 0.056 * cos__q_SAA__) * sin__q_SFE__) + ( 0.178 * cos__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,4) = (((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - ( 0.056 * cos__q_SAA__));
+ (*this)(1,5) = ((( 0.056 * sin__q_SAA__) * sin__q_SFE__) + ( 0.178 * sin__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,5) = (- 0.056 * cos__q_SFE__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR::Type_fr_HyABase_X_fr_Humerus_R_CTR()
+{
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.264 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.264 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.264 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.264 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((((((- 0.264 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.264 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((( 0.264 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.264 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.264 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(2,4) = ((- 0.264 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR::Type_fr_HyABase_X_fr_Elbow_FE_CTR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.056) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.056) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = ((((((((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.056 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.056 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((((( 0.416 * cos__q_EFE__) + 0.056) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.056) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((((((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.056 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.056 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,4) = ((((- 0.416 * cos__q_EFE__) - 0.056) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = ((( 0.056 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.056 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR::Type_fr_HyABase_X_fr_Wrist_R_CTR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.204) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.204 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,4) = ((((((((((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.204 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.204 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.204) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((((((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.204) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.204 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.204 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,4) = ((((((((((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.204 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.204 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.204) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.204) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((- 0.416 * cos__q_EFE__) - 0.204) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.204 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(2,4) = ((((( 0.204 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.204 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.204) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::Type_fr_Shoulder_FE_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(0,4) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(0,5) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(1,4) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,5) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(2,4) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::Type_fr_Humerus_R_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(0,4) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__) - ( 0.02075 * sin__q_WFE__)) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(0,5) = (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = (((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,5) = ((((- 0.296 * cos__q_EFE__) - 0.304) * sin__q_WR__) + ( 0.02075 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(2,4) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(2,5) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::Type_fr_Elbow_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0.02075;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,5) = (- 0.296 * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(2,4) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(2,5) = ( 0.296 * cos__q_WR__);
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::Type_fr_Wrist_R_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = - 0.184;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.02075;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(1,3) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(1,4) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::Type_fr_Wrist_FE_X_fr_Shoulder_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(0,2) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(0,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(0,4) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(0,5) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,0) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,3) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,5) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(2,0) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(2,4) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,5) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(3,5) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,3) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,3) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::Type_fr_Shoulder_FE_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(0,4) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(0,5) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(1,4) = (((((((- 0.02075 * sin__q_HR__) * sin__q_WFE__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__)) - ( 0.03 * sin__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,5) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) - (( 0.03 * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(2,4) = ((((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) + ( 0.03 * cos__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * sin__q_HR__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((( 0.03 * cos__q_HR__) * cos__q_WFE__) + ((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::Type_fr_Humerus_R_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(0,4) = (((((- 0.02075 * sin__q_WFE__) + (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__)) - 0.03) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(0,5) = ((((- 0.03 * cos__q_WFE__) - ( 0.304 * cos__q_EFE__)) - 0.296) * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = ((((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) + ( 0.03 * cos__q_EFE__)) * cos__q_WR__);
+ (*this)(1,5) = (((((((- 0.03 * cos__q_EFE__) * cos__q_WFE__) - ( 0.296 * cos__q_EFE__)) - 0.304) * sin__q_WR__) + (( 0.03 * sin__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(2,4) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(2,5) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::Type_fr_Elbow_FE_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(0,5) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * cos__q_WR__);
+ (*this)(1,5) = (((- 0.03 * cos__q_WFE__) - 0.296) * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(2,4) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * sin__q_WR__);
+ (*this)(2,5) = ((( 0.03 * cos__q_WFE__) + 0.296) * cos__q_WR__);
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::Type_fr_Wrist_R_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(0,5) = ((- 0.03 * cos__q_WFE__) - 0.184);
+ (*this)(1,3) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(1,4) = ((( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__)) + 0.03);
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(2,5) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::Type_fr_Wrist_FE_X_fr_ee()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.03;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0.03;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::Type_fr_Shoulder_AA_X_fr_HyABase()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,0) = - sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = sin__q_SAA__;
+ (*this)(4,3) = - sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::Type_fr_Shoulder_FE_X_fr_HyABase()
+{
+ (*this)(0,5) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,3) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(1,4) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(2,0) = sin__q_SAA__;
+ (*this)(2,1) = - cos__q_SAA__;
+ (*this)(2,3) = ( 0.178 * cos__q_SAA__);
+ (*this)(2,4) = ( 0.178 * sin__q_SAA__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,3) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = cos__q_SFE__;
+ (*this)(5,3) = sin__q_SAA__;
+ (*this)(5,4) = - cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::Type_fr_Humerus_R_X_fr_HyABase()
+{
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(1,0) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(1,3) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,4) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(4,3) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(5,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::Type_fr_Elbow_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(1,0) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(1,3) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,0) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(2,1) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,4) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(4,3) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(5,4) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::Type_fr_Wrist_R_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(0,3) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,4) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(1,3) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,4) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,4) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(4,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::Type_fr_Wrist_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,5) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,4) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,4) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::Type_fr_ee_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,5) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,4) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,4) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::Type_fr_HyABase_X_fr_SAA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::Type_fr_HyABase_X_fr_SFE()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = (- 0.178 * sin__q_SAA__);
+ (*this)(0,5) = ( 0.178 * cos__q_SAA__);
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = ( 0.178 * cos__q_SAA__);
+ (*this)(1,5) = ( 0.178 * sin__q_SAA__);
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,5) = - cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::Type_fr_HyABase_X_fr_HR()
+{
+ (*this)(2,0) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = - sin__q_SAA__;
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((- 0.112 * cos__q_SAA__) * sin__q_SFE__) - ( 0.178 * cos__q_SAA__));
+ (*this)(0,4) = ((( 0.178 * sin__q_SAA__) * sin__q_SFE__) + ( 0.112 * sin__q_SAA__));
+ (*this)(0,5) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = cos__q_SAA__;
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (((- 0.112 * sin__q_SAA__) * sin__q_SFE__) - ( 0.178 * sin__q_SAA__));
+ (*this)(1,4) = (((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - ( 0.112 * cos__q_SAA__));
+ (*this)(1,5) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ( 0.112 * cos__q_SFE__);
+ (*this)(3,3) = - sin__q_SAA__;
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = cos__q_SAA__;
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,4) = cos__q_SFE__;
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::Type_fr_HyABase_X_fr_EFE()
+{
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.416 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.416 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,4) = (((((( 0.416 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.416 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = ((- 0.416 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::Type_fr_HyABase_X_fr_WR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = (((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(2,4) = ((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::Type_fr_HyABase_X_fr_WFE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = ((((((((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(2,4) = ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(2,5) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::Type_fr_Shoulder_FE_X_fr_Shoulder_AA()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,4) = ( 0.178 * cos__q_SFE__);
+ (*this)(1,0) = - sin__q_SFE__;
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,4) = (- 0.178 * sin__q_SFE__);
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,3) = - sin__q_SFE__;
+ (*this)(4,5) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::Type_fr_Shoulder_AA_X_fr_Shoulder_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0.178;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,1) = - sin__q_SFE__;
+ (*this)(1,3) = ( 0.178 * cos__q_SFE__);
+ (*this)(1,4) = (- 0.178 * sin__q_SFE__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,4) = - sin__q_SFE__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::Type_fr_Humerus_R_X_fr_Shoulder_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,1) = sin__q_HR__;
+ (*this)(0,2) = - cos__q_HR__;
+ (*this)(0,4) = ( 0.112 * cos__q_HR__);
+ (*this)(0,5) = ( 0.112 * sin__q_HR__);
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,2) = sin__q_HR__;
+ (*this)(1,4) = (- 0.112 * sin__q_HR__);
+ (*this)(1,5) = ( 0.112 * cos__q_HR__);
+ (*this)(3,4) = sin__q_HR__;
+ (*this)(3,5) = - cos__q_HR__;
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(4,5) = sin__q_HR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::Type_fr_Shoulder_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(1,0) = sin__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,3) = ( 0.112 * cos__q_HR__);
+ (*this)(1,4) = (- 0.112 * sin__q_HR__);
+ (*this)(2,0) = - cos__q_HR__;
+ (*this)(2,1) = sin__q_HR__;
+ (*this)(2,3) = ( 0.112 * sin__q_HR__);
+ (*this)(2,4) = ( 0.112 * cos__q_HR__);
+ (*this)(4,3) = sin__q_HR__;
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(5,3) = - cos__q_HR__;
+ (*this)(5,4) = sin__q_HR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::Type_fr_Elbow_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.304;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,1) = sin__q_EFE__;
+ (*this)(0,2) = cos__q_EFE__;
+ (*this)(0,3) = (- 0.304 * sin__q_EFE__);
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(1,2) = - sin__q_EFE__;
+ (*this)(1,3) = (- 0.304 * cos__q_EFE__);
+ (*this)(3,4) = sin__q_EFE__;
+ (*this)(3,5) = cos__q_EFE__;
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(4,5) = - sin__q_EFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::Type_fr_Humerus_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.304;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,3) = (- 0.304 * sin__q_EFE__);
+ (*this)(0,4) = (- 0.304 * cos__q_EFE__);
+ (*this)(1,0) = sin__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(2,0) = cos__q_EFE__;
+ (*this)(2,1) = - sin__q_EFE__;
+ (*this)(4,3) = sin__q_EFE__;
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(5,3) = cos__q_EFE__;
+ (*this)(5,4) = - sin__q_EFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::Type_fr_Wrist_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,1) = sin__q_WR__;
+ (*this)(0,2) = - cos__q_WR__;
+ (*this)(0,4) = ( 0.112 * cos__q_WR__);
+ (*this)(0,5) = ( 0.112 * sin__q_WR__);
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,2) = sin__q_WR__;
+ (*this)(1,4) = (- 0.112 * sin__q_WR__);
+ (*this)(1,5) = ( 0.112 * cos__q_WR__);
+ (*this)(3,4) = sin__q_WR__;
+ (*this)(3,5) = - cos__q_WR__;
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(4,5) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::Type_fr_Elbow_FE_X_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(1,0) = sin__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,3) = ( 0.112 * cos__q_WR__);
+ (*this)(1,4) = (- 0.112 * sin__q_WR__);
+ (*this)(2,0) = - cos__q_WR__;
+ (*this)(2,1) = sin__q_WR__;
+ (*this)(2,3) = ( 0.112 * sin__q_WR__);
+ (*this)(2,4) = ( 0.112 * cos__q_WR__);
+ (*this)(4,3) = sin__q_WR__;
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(5,3) = - cos__q_WR__;
+ (*this)(5,4) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::Type_fr_Wrist_FE_X_fr_Wrist_R()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.184;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.02075;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R& iit::ct_HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,2) = cos__q_WFE__;
+ (*this)(0,4) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(1,0) = cos__q_WFE__;
+ (*this)(1,2) = - sin__q_WFE__;
+ (*this)(1,4) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,5) = cos__q_WFE__;
+ (*this)(4,3) = cos__q_WFE__;
+ (*this)(4,5) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::Type_fr_HyABase_X_fr_Shoulder_AA()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::Type_fr_HyABase_X_fr_Shoulder_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::Type_fr_HyABase_X_fr_Humerus_R()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (( 0.112 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (( 0.112 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.112 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::Type_fr_HyABase_X_fr_Elbow_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (( 0.416 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (( 0.416 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (( 0.416 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::Type_fr_HyABase_X_fr_Wrist_R()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::Type_fr_HyABase_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::Type_fr_HyABase_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((- 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = ((((((((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 0.03 * cos__q_HR__) * cos__q_SAA__) - ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((( 0.03 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::Type_fr_HyABase_X_fr_Shoulder_AA_COM()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0.00309;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(0,3) = (( 3.6E-4 * sin__q_SAA__) - ( 2.0E-4 * cos__q_SAA__));
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(1,3) = ((- 2.0E-4 * sin__q_SAA__) - ( 3.6E-4 * cos__q_SAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::Type_fr_HyABase_X_fr_Shoulder_FE_COM()
+{
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = (((( 0.02338 * cos__q_SAA__) * sin__q_SFE__) - (( 0.00383 * cos__q_SAA__) * cos__q_SFE__)) + ( 0.00117 * sin__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = (((( 0.02338 * sin__q_SAA__) * sin__q_SFE__) - (( 0.00383 * sin__q_SAA__) * cos__q_SFE__)) - ( 0.00117 * cos__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,3) = (((- 0.00383 * sin__q_SFE__) - ( 0.02338 * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::Type_fr_HyABase_X_fr_Humerus_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + (( 0.08646 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (( 0.08646 * sin__q_SAA__) * cos__q_SFE__)) + (((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((( 0.08646 * sin__q_SFE__) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::Type_fr_HyABase_X_fr_Elbow_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) + ( 0.00102 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) - ( 0.00102 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_SFE__) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_HR__) - ( 0.00102 * sin__q_HR__)) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::Type_fr_HyABase_X_fr_Wrist_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = (((((((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = (((((((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + (((( 0.00261 * sin__q_EFE__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) + ((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::Type_fr_HyABase_X_fr_Wrist_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((((((( 0.07876 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + (((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((((((- 0.07876 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.01063 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.01063 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((- 0.07876 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR::Type_fr_HyABase_X_fr_Shoulder_AA_CTR()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0.089;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_CTR::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR::Type_fr_HyABase_X_fr_Shoulder_FE_CTR()
+{
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_CTR::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = (( 0.056 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = (( 0.056 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,3) = (( 0.056 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR::Type_fr_HyABase_X_fr_Humerus_R_CTR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_CTR::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (( 0.264 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (( 0.264 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.264 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR::Type_fr_HyABase_X_fr_Elbow_FE_CTR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_CTR::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = ((((((- 0.056 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.056 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.056 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = ((((((- 0.056 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.056 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.056 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = ((((( 0.056 * cos__q_EFE__) + 0.416) * sin__q_SFE__) + ((( 0.056 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR::Type_fr_HyABase_X_fr_Wrist_R_CTR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_CTR::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((- 0.204 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.204 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.204 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((- 0.204 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.204 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.204 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.204 * cos__q_EFE__) + 0.416) * sin__q_SFE__) + ((( 0.204 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::Type_fr_Shoulder_FE_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WR__) + ( 0.296 * cos__q_EFE__)) + 0.416);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WR__) + (( 0.02075 * sin__q_HR__) * cos__q_WR__)) + (( 0.296 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WR__) - (( 0.02075 * cos__q_HR__) * cos__q_WR__)) + (( 0.296 * sin__q_EFE__) * sin__q_HR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::Type_fr_Humerus_R_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ( 0.02075 * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = ((( 0.02075 * cos__q_EFE__) * sin__q_WR__) + ( 0.296 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WR__) + ( 0.296 * cos__q_EFE__)) + 0.304);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::Type_fr_Elbow_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.296;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ( 0.02075 * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = (- 0.02075 * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::Type_fr_Wrist_R_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.02075;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.184;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::Type_fr_Wrist_FE_X_fr_Shoulder_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(0,2) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(0,3) = ((((( 0.416 * sin__q_EFE__) * sin__q_WFE__) * sin__q_WR__) - ( 0.02075 * sin__q_WFE__)) + (((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_WFE__));
+ (*this)(1,0) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,3) = ((((( 0.416 * sin__q_EFE__) * cos__q_WFE__) * sin__q_WR__) + ((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_WFE__)) - ( 0.02075 * cos__q_WFE__));
+ (*this)(2,0) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (( 0.416 * sin__q_EFE__) * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::Type_fr_Shoulder_FE_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = (((((((- 0.03 * sin__q_EFE__) * sin__q_WFE__) - ( 0.02075 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * cos__q_WFE__)) + ( 0.296 * cos__q_EFE__)) + 0.416);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = (((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_WR__) + (((( 0.03 * sin__q_HR__) * sin__q_WFE__) + ( 0.02075 * sin__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (((((((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * sin__q_WR__) + ((((- 0.03 * cos__q_HR__) * sin__q_WFE__) - ( 0.02075 * cos__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * sin__q_HR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::Type_fr_Humerus_R_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ((( 0.03 * sin__q_WFE__) + 0.02075) * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = (((((( 0.03 * cos__q_EFE__) * sin__q_WFE__) + ( 0.02075 * cos__q_EFE__)) * sin__q_WR__) + (( 0.03 * sin__q_EFE__) * cos__q_WFE__)) + ( 0.296 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = (((((((- 0.03 * sin__q_EFE__) * sin__q_WFE__) - ( 0.02075 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * cos__q_WFE__)) + ( 0.296 * cos__q_EFE__)) + 0.304);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::Type_fr_Elbow_FE_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(0,3) = (( 0.03 * cos__q_WFE__) + 0.296);
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ((( 0.03 * sin__q_WFE__) + 0.02075) * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = (((- 0.03 * sin__q_WFE__) - 0.02075) * cos__q_WR__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::Type_fr_Wrist_R_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(0,3) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(2,3) = (( 0.03 * cos__q_WFE__) + 0.184);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::Type_fr_Wrist_FE_X_fr_ee()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.03;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::Type_fr_Shoulder_AA_X_fr_HyABase()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,0) = - sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::Type_fr_Shoulder_FE_X_fr_HyABase()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,3) = (- 0.178 * sin__q_SFE__);
+ (*this)(1,0) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,3) = (- 0.178 * cos__q_SFE__);
+ (*this)(2,0) = sin__q_SAA__;
+ (*this)(2,1) = - cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::Type_fr_Humerus_R_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(0,3) = ((- 0.178 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(1,0) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(1,3) = ((- 0.178 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(2,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((- 0.178 * sin__q_SFE__) - 0.112);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::Type_fr_Elbow_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(0,3) = ((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__));
+ (*this)(1,0) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(1,3) = (((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__));
+ (*this)(2,0) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(2,1) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (( 0.178 * sin__q_HR__) * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::Type_fr_Wrist_R_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(0,3) = (((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * sin__q_WR__) - ((( 0.178 * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(1,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(1,3) = (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WR__));
+ (*this)(2,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = (((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__)) - 0.112);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::Type_fr_Wrist_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = ((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * sin__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) - ( 0.02075 * sin__q_WFE__)) + ((((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__)) - 0.296) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((((( 0.178 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * cos__q_EFE__)) + 0.296) * sin__q_WFE__)) - ( 0.02075 * cos__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::Type_fr_ee_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = (((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * sin__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) - ( 0.02075 * sin__q_WFE__)) + ((((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__)) - 0.296) * cos__q_WFE__)) - 0.03);
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((((( 0.178 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * cos__q_EFE__)) + 0.296) * sin__q_WFE__)) - ( 0.02075 * cos__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WR__));
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::Type_fr_HyABase_X_fr_SAA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::Type_fr_HyABase_X_fr_SFE()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,2) = - cos__q_SAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::Type_fr_HyABase_X_fr_HR()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::update(const JState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = - sin__q_SAA__;
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (( 0.112 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = cos__q_SAA__;
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (( 0.112 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.112 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::Type_fr_HyABase_X_fr_EFE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (( 0.416 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (( 0.416 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (( 0.416 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::Type_fr_HyABase_X_fr_WR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::Type_fr_HyABase_X_fr_WFE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::Type_fr_Shoulder_FE_X_fr_Shoulder_AA()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,3) = (- 0.178 * sin__q_SFE__);
+ (*this)(1,0) = - sin__q_SFE__;
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,3) = (- 0.178 * cos__q_SFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::Type_fr_Shoulder_AA_X_fr_Shoulder_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,1) = - sin__q_SFE__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::Type_fr_Humerus_R_X_fr_Shoulder_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.112;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,1) = sin__q_HR__;
+ (*this)(0,2) = - cos__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,2) = sin__q_HR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::Type_fr_Shoulder_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.112;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(1,0) = sin__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(2,0) = - cos__q_HR__;
+ (*this)(2,1) = sin__q_HR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::Type_fr_Elbow_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = - 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,1) = sin__q_EFE__;
+ (*this)(0,2) = cos__q_EFE__;
+ (*this)(0,3) = (- 0.304 * cos__q_EFE__);
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(1,2) = - sin__q_EFE__;
+ (*this)(1,3) = ( 0.304 * sin__q_EFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::Type_fr_Humerus_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.304;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(1,0) = sin__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(2,0) = cos__q_EFE__;
+ (*this)(2,1) = - sin__q_EFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::Type_fr_Wrist_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.112;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::update(const JState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,1) = sin__q_WR__;
+ (*this)(0,2) = - cos__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,2) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::Type_fr_Elbow_FE_X_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.112;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(1,0) = sin__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(2,0) = - cos__q_WR__;
+ (*this)(2,1) = sin__q_WR__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::Type_fr_Wrist_FE_X_fr_Wrist_R()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R& iit::ct_HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::update(const JState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,2) = cos__q_WFE__;
+ (*this)(0,3) = ((- 0.02075 * sin__q_WFE__) - ( 0.184 * cos__q_WFE__));
+ (*this)(1,0) = cos__q_WFE__;
+ (*this)(1,2) = - sin__q_WFE__;
+ (*this)(1,3) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ return *this;
+}
+
diff --git a/ct_models/include/ct/models/HyA/generated/transforms_force.impl.h b/ct_models/include/ct/models/HyA/generated/transforms_force.impl.h
new file mode 100644
index 0000000..9886813
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/transforms_force.impl.h
@@ -0,0 +1,2712 @@
+/*
+ * transforms_force.impl.h
+ *
+ * Created on: Jan 24, 2017
+ * Author: kusi
+ */
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::ForceTransforms
+ ()
+ :
+ fr_HyABase_X_fr_Shoulder_AA(),
+ fr_HyABase_X_fr_Shoulder_FE(),
+ fr_HyABase_X_fr_Humerus_R(),
+ fr_HyABase_X_fr_Elbow_FE(),
+ fr_HyABase_X_fr_Wrist_R(),
+ fr_HyABase_X_fr_Wrist_FE(),
+ fr_HyABase_X_fr_ee(),
+ fr_HyABase_X_fr_Shoulder_AA_COM(),
+ fr_HyABase_X_fr_Shoulder_FE_COM(),
+ fr_HyABase_X_fr_Humerus_R_COM(),
+ fr_HyABase_X_fr_Elbow_FE_COM(),
+ fr_HyABase_X_fr_Wrist_R_COM(),
+ fr_HyABase_X_fr_Wrist_FE_COM(),
+ fr_Shoulder_FE_X_fr_Wrist_FE(),
+ fr_Humerus_R_X_fr_Wrist_FE(),
+ fr_Elbow_FE_X_fr_Wrist_FE(),
+ fr_Wrist_R_X_fr_Wrist_FE(),
+ fr_Wrist_FE_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_ee(),
+ fr_Humerus_R_X_fr_ee(),
+ fr_Elbow_FE_X_fr_ee(),
+ fr_Wrist_R_X_fr_ee(),
+ fr_Wrist_FE_X_fr_ee(),
+ fr_Shoulder_AA_X_fr_HyABase(),
+ fr_Shoulder_FE_X_fr_HyABase(),
+ fr_Humerus_R_X_fr_HyABase(),
+ fr_Elbow_FE_X_fr_HyABase(),
+ fr_Wrist_R_X_fr_HyABase(),
+ fr_Wrist_FE_X_fr_HyABase(),
+ fr_ee_X_fr_HyABase(),
+ fr_HyABase_X_fr_SAA(),
+ fr_HyABase_X_fr_SFE(),
+ fr_HyABase_X_fr_HR(),
+ fr_HyABase_X_fr_EFE(),
+ fr_HyABase_X_fr_WR(),
+ fr_HyABase_X_fr_WFE(),
+ fr_Shoulder_FE_X_fr_Shoulder_AA(),
+ fr_Shoulder_AA_X_fr_Shoulder_FE(),
+ fr_Humerus_R_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_Humerus_R(),
+ fr_Elbow_FE_X_fr_Humerus_R(),
+ fr_Humerus_R_X_fr_Elbow_FE(),
+ fr_Wrist_R_X_fr_Elbow_FE(),
+ fr_Elbow_FE_X_fr_Wrist_R(),
+ fr_Wrist_FE_X_fr_Wrist_R()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::HyA::tpl::ForceTransforms<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::Type_fr_HyABase_X_fr_Shoulder_AA()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::Type_fr_HyABase_X_fr_Shoulder_FE()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(0,5) = ( 0.178 * cos__q_SAA__);
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,4) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(1,5) = ( 0.178 * sin__q_SAA__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::Type_fr_HyABase_X_fr_Humerus_R()
+{
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(2,4) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::Type_fr_HyABase_X_fr_Elbow_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,4) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::Type_fr_HyABase_X_fr_Wrist_R()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,4) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,4) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(2,4) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::Type_fr_HyABase_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,4) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(2,4) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::Type_fr_HyABase_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,5) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,4) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(2,4) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::Type_fr_HyABase_X_fr_Shoulder_AA_COM()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 3.6E-4;
+ (*this)(2,4) = - 2.0E-4;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(0,3) = (- 0.00309 * sin__q_SAA__);
+ (*this)(0,4) = (- 0.00309 * cos__q_SAA__);
+ (*this)(0,5) = ((- 2.0E-4 * sin__q_SAA__) - ( 3.6E-4 * cos__q_SAA__));
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(1,3) = ( 0.00309 * cos__q_SAA__);
+ (*this)(1,4) = (- 0.00309 * sin__q_SAA__);
+ (*this)(1,5) = (( 2.0E-4 * cos__q_SAA__) - ( 3.6E-4 * sin__q_SAA__));
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::Type_fr_HyABase_X_fr_Shoulder_FE_COM()
+{
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = ((((- 0.00117 * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.02338 * sin__q_SAA__));
+ (*this)(0,4) = (((( 0.178 * sin__q_SAA__) * sin__q_SFE__) - (( 0.00117 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.00383 * sin__q_SAA__));
+ (*this)(0,5) = ((((- 0.00383 * cos__q_SAA__) * sin__q_SFE__) - (( 0.02338 * cos__q_SAA__) * cos__q_SFE__)) + ( 0.178 * cos__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = ((((- 0.00117 * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.02338 * cos__q_SAA__));
+ (*this)(1,4) = ((((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - (( 0.00117 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.00383 * cos__q_SAA__));
+ (*this)(1,5) = ((((- 0.00383 * sin__q_SAA__) * sin__q_SFE__) - (( 0.02338 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.178 * sin__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,3) = ( 0.00117 * cos__q_SFE__);
+ (*this)(2,4) = (- 0.00117 * sin__q_SFE__);
+ (*this)(2,5) = (( 0.00383 * cos__q_SFE__) - ( 0.02338 * sin__q_SFE__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::Type_fr_HyABase_X_fr_Humerus_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = ((((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.08646 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (((((((- 0.08646 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.08646 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((( 0.08646 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((( 0.08646 * cos__q_HR__) * cos__q_SFE__) - ( 0.00618 * sin__q_SFE__));
+ (*this)(2,4) = ((- 0.00239 * sin__q_SFE__) - (( 0.08646 * sin__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::Type_fr_HyABase_X_fr_Elbow_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.178 * cos__q_EFE__) * sin__q_SAA__) - (( 0.00102 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + (((( 0.00102 * cos__q_EFE__) * sin__q_HR__) + ((( 0.416 * sin__q_EFE__) + 0.01125) * cos__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * sin__q_EFE__) * sin__q_SAA__) - (( 0.00102 * cos__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * cos__q_HR__) - (( 0.00102 * sin__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * cos__q_EFE__) * cos__q_SAA__) - (( 0.00102 * sin__q_EFE__) * sin__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((((- 0.416 * sin__q_EFE__) - 0.01125) * cos__q_HR__) - (( 0.00102 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(1,4) = (((((((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.00102 * cos__q_EFE__) * sin__q_SAA__) - (( 0.178 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((( 0.00102 * sin__q_EFE__) * sin__q_HR__) + (( 0.1466 - ( 0.416 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(1,5) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = ((((((- 0.416 * sin__q_EFE__) - 0.01125) * sin__q_HR__) + (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(2,4) = ((((( 0.1466 - ( 0.416 * cos__q_EFE__)) * sin__q_HR__) - (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * cos__q_EFE__) * sin__q_SFE__));
+ (*this)(2,5) = ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SFE__) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::Type_fr_HyABase_X_fr_Wrist_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,4) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,5) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.08883 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__)) + (( 0.00261 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,4) = ((((((( 0.08883 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 4.0E-4 * cos__q_EFE__) * sin__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,5) = (((((( 0.00261 * sin__q_EFE__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__) + (((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::Type_fr_HyABase_X_fr_Wrist_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,5) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((- 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = ((((((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,4) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,5) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.07876 * cos__q_HR__) * cos__q_SAA__) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) + (((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(2,4) = (((((((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SFE__) - (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (( 0.07876 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,5) = ((((((((((((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + ((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.01063 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.07876 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + ((((- 0.07876 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((- 0.01063 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::Type_fr_Shoulder_FE_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(0,4) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(0,5) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(1,4) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,5) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(2,4) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::Type_fr_Humerus_R_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(0,4) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__) - ( 0.02075 * sin__q_WFE__)) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(0,5) = (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = (((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,5) = ((((- 0.296 * cos__q_EFE__) - 0.304) * sin__q_WR__) + ( 0.02075 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(2,4) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(2,5) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::Type_fr_Elbow_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0.02075;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,5) = (- 0.296 * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(2,4) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(2,5) = ( 0.296 * cos__q_WR__);
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::Type_fr_Wrist_R_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = - 0.184;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.02075;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(1,3) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(1,4) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::Type_fr_Wrist_FE_X_fr_Shoulder_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(0,2) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(0,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(0,4) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(0,5) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,0) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,3) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,5) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(2,0) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(2,4) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,5) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(3,5) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,3) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,3) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::Type_fr_Shoulder_FE_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(0,4) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(0,5) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(1,4) = (((((((- 0.02075 * sin__q_HR__) * sin__q_WFE__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__)) - ( 0.03 * sin__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,5) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) - (( 0.03 * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(2,4) = ((((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) + ( 0.03 * cos__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * sin__q_HR__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(2,5) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((( 0.03 * cos__q_HR__) * cos__q_WFE__) + ((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::Type_fr_Humerus_R_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(0,4) = (((((- 0.02075 * sin__q_WFE__) + (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__)) - 0.03) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(0,5) = ((((- 0.03 * cos__q_WFE__) - ( 0.304 * cos__q_EFE__)) - 0.296) * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = ((((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) + ( 0.03 * cos__q_EFE__)) * cos__q_WR__);
+ (*this)(1,5) = (((((((- 0.03 * cos__q_EFE__) * cos__q_WFE__) - ( 0.296 * cos__q_EFE__)) - 0.304) * sin__q_WR__) + (( 0.03 * sin__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(2,4) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(2,5) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::Type_fr_Elbow_FE_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(0,5) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(1,4) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * cos__q_WR__);
+ (*this)(1,5) = (((- 0.03 * cos__q_WFE__) - 0.296) * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(2,4) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * sin__q_WR__);
+ (*this)(2,5) = ((( 0.03 * cos__q_WFE__) + 0.296) * cos__q_WR__);
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::Type_fr_Wrist_R_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(0,5) = ((- 0.03 * cos__q_WFE__) - 0.184);
+ (*this)(1,3) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(1,4) = ((( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__)) + 0.03);
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(2,5) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::Type_fr_Wrist_FE_X_fr_ee()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.03;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0.03;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::update(const JointState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::Type_fr_Shoulder_AA_X_fr_HyABase()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,0) = - sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = sin__q_SAA__;
+ (*this)(4,3) = - sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::Type_fr_Shoulder_FE_X_fr_HyABase()
+{
+ (*this)(0,5) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,3) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(1,4) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(2,0) = sin__q_SAA__;
+ (*this)(2,1) = - cos__q_SAA__;
+ (*this)(2,3) = ( 0.178 * cos__q_SAA__);
+ (*this)(2,4) = ( 0.178 * sin__q_SAA__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,3) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = cos__q_SFE__;
+ (*this)(5,3) = sin__q_SAA__;
+ (*this)(5,4) = - cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::Type_fr_Humerus_R_X_fr_HyABase()
+{
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(1,0) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(1,3) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,4) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(4,3) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(5,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::Type_fr_Elbow_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(0,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(1,0) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(1,3) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,0) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(2,1) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,4) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(4,3) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(5,4) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::Type_fr_Wrist_R_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(0,3) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,4) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(1,3) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,4) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,4) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(4,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::Type_fr_Wrist_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,5) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,4) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,4) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::Type_fr_ee_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,4) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,5) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,4) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,5) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,4) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,5) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::Type_fr_HyABase_X_fr_SAA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::update(const JointState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::Type_fr_HyABase_X_fr_SFE()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = (- 0.178 * sin__q_SAA__);
+ (*this)(0,5) = ( 0.178 * cos__q_SAA__);
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = ( 0.178 * cos__q_SAA__);
+ (*this)(1,5) = ( 0.178 * sin__q_SAA__);
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,5) = - cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::Type_fr_HyABase_X_fr_HR()
+{
+ (*this)(2,0) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = - sin__q_SAA__;
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((- 0.112 * cos__q_SAA__) * sin__q_SFE__) - ( 0.178 * cos__q_SAA__));
+ (*this)(0,4) = ((( 0.178 * sin__q_SAA__) * sin__q_SFE__) + ( 0.112 * sin__q_SAA__));
+ (*this)(0,5) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = cos__q_SAA__;
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (((- 0.112 * sin__q_SAA__) * sin__q_SFE__) - ( 0.178 * sin__q_SAA__));
+ (*this)(1,4) = (((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - ( 0.112 * cos__q_SAA__));
+ (*this)(1,5) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ( 0.112 * cos__q_SFE__);
+ (*this)(3,3) = - sin__q_SAA__;
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,3) = cos__q_SAA__;
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,4) = cos__q_SFE__;
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::Type_fr_HyABase_X_fr_EFE()
+{
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(0,4) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.416 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.416 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,4) = (((((( 0.416 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.416 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,4) = ((- 0.416 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::Type_fr_HyABase_X_fr_WR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,5) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = (((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,5) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(2,4) = ((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(2,5) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::Type_fr_HyABase_X_fr_WFE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,4) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(0,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = ((((((((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(1,4) = ((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,5) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(2,4) = ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(2,5) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::Type_fr_Shoulder_FE_X_fr_Shoulder_AA()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1.0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,4) = ( 0.178 * cos__q_SFE__);
+ (*this)(1,0) = - sin__q_SFE__;
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,4) = (- 0.178 * sin__q_SFE__);
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,3) = - sin__q_SFE__;
+ (*this)(4,5) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::Type_fr_Shoulder_AA_X_fr_Shoulder_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0.178;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,1) = - sin__q_SFE__;
+ (*this)(1,3) = ( 0.178 * cos__q_SFE__);
+ (*this)(1,4) = (- 0.178 * sin__q_SFE__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,4) = - sin__q_SFE__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::Type_fr_Humerus_R_X_fr_Shoulder_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,1) = sin__q_HR__;
+ (*this)(0,2) = - cos__q_HR__;
+ (*this)(0,4) = ( 0.112 * cos__q_HR__);
+ (*this)(0,5) = ( 0.112 * sin__q_HR__);
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,2) = sin__q_HR__;
+ (*this)(1,4) = (- 0.112 * sin__q_HR__);
+ (*this)(1,5) = ( 0.112 * cos__q_HR__);
+ (*this)(3,4) = sin__q_HR__;
+ (*this)(3,5) = - cos__q_HR__;
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(4,5) = sin__q_HR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::Type_fr_Shoulder_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(1,0) = sin__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,3) = ( 0.112 * cos__q_HR__);
+ (*this)(1,4) = (- 0.112 * sin__q_HR__);
+ (*this)(2,0) = - cos__q_HR__;
+ (*this)(2,1) = sin__q_HR__;
+ (*this)(2,3) = ( 0.112 * sin__q_HR__);
+ (*this)(2,4) = ( 0.112 * cos__q_HR__);
+ (*this)(4,3) = sin__q_HR__;
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(5,3) = - cos__q_HR__;
+ (*this)(5,4) = sin__q_HR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::Type_fr_Elbow_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.304;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,1) = sin__q_EFE__;
+ (*this)(0,2) = cos__q_EFE__;
+ (*this)(0,3) = (- 0.304 * sin__q_EFE__);
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(1,2) = - sin__q_EFE__;
+ (*this)(1,3) = (- 0.304 * cos__q_EFE__);
+ (*this)(3,4) = sin__q_EFE__;
+ (*this)(3,5) = cos__q_EFE__;
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(4,5) = - sin__q_EFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::Type_fr_Humerus_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.304;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,3) = (- 0.304 * sin__q_EFE__);
+ (*this)(0,4) = (- 0.304 * cos__q_EFE__);
+ (*this)(1,0) = sin__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(2,0) = cos__q_EFE__;
+ (*this)(2,1) = - sin__q_EFE__;
+ (*this)(4,3) = sin__q_EFE__;
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(5,3) = cos__q_EFE__;
+ (*this)(5,4) = - sin__q_EFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::Type_fr_Wrist_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,1) = sin__q_WR__;
+ (*this)(0,2) = - cos__q_WR__;
+ (*this)(0,4) = ( 0.112 * cos__q_WR__);
+ (*this)(0,5) = ( 0.112 * sin__q_WR__);
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,2) = sin__q_WR__;
+ (*this)(1,4) = (- 0.112 * sin__q_WR__);
+ (*this)(1,5) = ( 0.112 * cos__q_WR__);
+ (*this)(3,4) = sin__q_WR__;
+ (*this)(3,5) = - cos__q_WR__;
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(4,5) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::Type_fr_Elbow_FE_X_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(1,0) = sin__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,3) = ( 0.112 * cos__q_WR__);
+ (*this)(1,4) = (- 0.112 * sin__q_WR__);
+ (*this)(2,0) = - cos__q_WR__;
+ (*this)(2,1) = sin__q_WR__;
+ (*this)(2,3) = ( 0.112 * sin__q_WR__);
+ (*this)(2,4) = ( 0.112 * cos__q_WR__);
+ (*this)(4,3) = sin__q_WR__;
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(5,3) = - cos__q_WR__;
+ (*this)(5,4) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::Type_fr_Wrist_FE_X_fr_Wrist_R()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.184;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.02075;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R& iit::HyA::tpl::ForceTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,2) = cos__q_WFE__;
+ (*this)(0,4) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(1,0) = cos__q_WFE__;
+ (*this)(1,2) = - sin__q_WFE__;
+ (*this)(1,4) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,5) = cos__q_WFE__;
+ (*this)(4,3) = cos__q_WFE__;
+ (*this)(4,5) = - sin__q_WFE__;
+ return *this;
+}
diff --git a/ct_models/include/ct/models/HyA/generated/transforms_homogeneous.impl.h b/ct_models/include/ct/models/HyA/generated/transforms_homogeneous.impl.h
new file mode 100644
index 0000000..340ce80
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/transforms_homogeneous.impl.h
@@ -0,0 +1,1811 @@
+/*
+ * transforms_homogeneous.impl.h
+ *
+ * Created on: Jan 24, 2017
+ * Author: kusi
+ */
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::HomogeneousTransforms
+ ()
+ :
+ fr_HyABase_X_fr_Shoulder_AA(),
+ fr_HyABase_X_fr_Shoulder_FE(),
+ fr_HyABase_X_fr_Humerus_R(),
+ fr_HyABase_X_fr_Elbow_FE(),
+ fr_HyABase_X_fr_Wrist_R(),
+ fr_HyABase_X_fr_Wrist_FE(),
+ fr_HyABase_X_fr_ee(),
+ fr_HyABase_X_fr_Shoulder_AA_COM(),
+ fr_HyABase_X_fr_Shoulder_FE_COM(),
+ fr_HyABase_X_fr_Humerus_R_COM(),
+ fr_HyABase_X_fr_Elbow_FE_COM(),
+ fr_HyABase_X_fr_Wrist_R_COM(),
+ fr_HyABase_X_fr_Wrist_FE_COM(),
+ fr_Shoulder_FE_X_fr_Wrist_FE(),
+ fr_Humerus_R_X_fr_Wrist_FE(),
+ fr_Elbow_FE_X_fr_Wrist_FE(),
+ fr_Wrist_R_X_fr_Wrist_FE(),
+ fr_Wrist_FE_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_ee(),
+ fr_Humerus_R_X_fr_ee(),
+ fr_Elbow_FE_X_fr_ee(),
+ fr_Wrist_R_X_fr_ee(),
+ fr_Wrist_FE_X_fr_ee(),
+ fr_Shoulder_AA_X_fr_HyABase(),
+ fr_Shoulder_FE_X_fr_HyABase(),
+ fr_Humerus_R_X_fr_HyABase(),
+ fr_Elbow_FE_X_fr_HyABase(),
+ fr_Wrist_R_X_fr_HyABase(),
+ fr_Wrist_FE_X_fr_HyABase(),
+ fr_ee_X_fr_HyABase(),
+ fr_HyABase_X_fr_SAA(),
+ fr_HyABase_X_fr_SFE(),
+ fr_HyABase_X_fr_HR(),
+ fr_HyABase_X_fr_EFE(),
+ fr_HyABase_X_fr_WR(),
+ fr_HyABase_X_fr_WFE(),
+ fr_Shoulder_FE_X_fr_Shoulder_AA(),
+ fr_Shoulder_AA_X_fr_Shoulder_FE(),
+ fr_Humerus_R_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_Humerus_R(),
+ fr_Elbow_FE_X_fr_Humerus_R(),
+ fr_Humerus_R_X_fr_Elbow_FE(),
+ fr_Wrist_R_X_fr_Elbow_FE(),
+ fr_Elbow_FE_X_fr_Wrist_R(),
+ fr_Wrist_FE_X_fr_Wrist_R()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::HyA::tpl::HomogeneousTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::Type_fr_HyABase_X_fr_Shoulder_AA()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::Type_fr_HyABase_X_fr_Shoulder_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::Type_fr_HyABase_X_fr_Humerus_R()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (( 0.112 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (( 0.112 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.112 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::Type_fr_HyABase_X_fr_Elbow_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (( 0.416 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (( 0.416 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (( 0.416 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::Type_fr_HyABase_X_fr_Wrist_R()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::Type_fr_HyABase_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::Type_fr_HyABase_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = ((((((((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((- 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = ((((((((((((((((- 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) - (((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 0.03 * cos__q_HR__) * cos__q_SAA__) - ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((( 0.03 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::Type_fr_HyABase_X_fr_Shoulder_AA_COM()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0.00309;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(0,3) = (( 3.6E-4 * sin__q_SAA__) - ( 2.0E-4 * cos__q_SAA__));
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(1,3) = ((- 2.0E-4 * sin__q_SAA__) - ( 3.6E-4 * cos__q_SAA__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::Type_fr_HyABase_X_fr_Shoulder_FE_COM()
+{
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(0,3) = (((( 0.02338 * cos__q_SAA__) * sin__q_SFE__) - (( 0.00383 * cos__q_SAA__) * cos__q_SFE__)) + ( 0.00117 * sin__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(1,3) = (((( 0.02338 * sin__q_SAA__) * sin__q_SFE__) - (( 0.00383 * sin__q_SAA__) * cos__q_SFE__)) - ( 0.00117 * cos__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,3) = (((- 0.00383 * sin__q_SFE__) - ( 0.02338 * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::Type_fr_HyABase_X_fr_Humerus_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + (( 0.08646 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (((((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (( 0.08646 * sin__q_SAA__) * cos__q_SFE__)) + (((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((( 0.08646 * sin__q_SFE__) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::Type_fr_HyABase_X_fr_Elbow_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (((((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) + ( 0.00102 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (((((( 0.00102 * sin__q_HR__) + ((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) + ((((( 0.1466 * sin__q_EFE__) + ( 0.01125 * cos__q_EFE__)) * sin__q_HR__) - ( 0.00102 * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_SFE__) + (((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_HR__) - ( 0.00102 * sin__q_HR__)) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::Type_fr_HyABase_X_fr_Wrist_R_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = (((((((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = (((((((((((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.08883 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + (((( 0.00261 * sin__q_EFE__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) + ((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.08883 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::Type_fr_HyABase_X_fr_Wrist_FE_COM()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + (((((((((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((((((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((((((((((((( 0.07876 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + (((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) + ((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((((((- 0.07876 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) - ((( 0.01063 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.01063 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((- 0.07876 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::Type_fr_Shoulder_FE_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WR__) + ( 0.296 * cos__q_EFE__)) + 0.416);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WR__) + (( 0.02075 * sin__q_HR__) * cos__q_WR__)) + (( 0.296 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WR__) - (( 0.02075 * cos__q_HR__) * cos__q_WR__)) + (( 0.296 * sin__q_EFE__) * sin__q_HR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::Type_fr_Humerus_R_X_fr_Wrist_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ( 0.02075 * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = ((( 0.02075 * cos__q_EFE__) * sin__q_WR__) + ( 0.296 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WR__) + ( 0.296 * cos__q_EFE__)) + 0.304);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::Type_fr_Elbow_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.296;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ( 0.02075 * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = (- 0.02075 * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::Type_fr_Wrist_R_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.02075;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.184;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::Type_fr_Wrist_FE_X_fr_Shoulder_FE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(0,2) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(0,3) = ((((( 0.416 * sin__q_EFE__) * sin__q_WFE__) * sin__q_WR__) - ( 0.02075 * sin__q_WFE__)) + (((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_WFE__));
+ (*this)(1,0) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(1,3) = ((((( 0.416 * sin__q_EFE__) * cos__q_WFE__) * sin__q_WR__) + ((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_WFE__)) - ( 0.02075 * cos__q_WFE__));
+ (*this)(2,0) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (( 0.416 * sin__q_EFE__) * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::Type_fr_Shoulder_FE_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(0,3) = (((((((- 0.03 * sin__q_EFE__) * sin__q_WFE__) - ( 0.02075 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * cos__q_WFE__)) + ( 0.296 * cos__q_EFE__)) + 0.416);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(1,3) = (((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_WR__) + (((( 0.03 * sin__q_HR__) * sin__q_WFE__) + ( 0.02075 * sin__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(2,3) = (((((((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * sin__q_WR__) + ((((- 0.03 * cos__q_HR__) * sin__q_WFE__) - ( 0.02075 * cos__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * sin__q_HR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::Type_fr_Humerus_R_X_fr_ee()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(0,3) = ((( 0.03 * sin__q_WFE__) + 0.02075) * cos__q_WR__);
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(1,3) = (((((( 0.03 * cos__q_EFE__) * sin__q_WFE__) + ( 0.02075 * cos__q_EFE__)) * sin__q_WR__) + (( 0.03 * sin__q_EFE__) * cos__q_WFE__)) + ( 0.296 * sin__q_EFE__));
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,3) = (((((((- 0.03 * sin__q_EFE__) * sin__q_WFE__) - ( 0.02075 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * cos__q_WFE__)) + ( 0.296 * cos__q_EFE__)) + 0.304);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::Type_fr_Elbow_FE_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(0,3) = (( 0.03 * cos__q_WFE__) + 0.296);
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(1,3) = ((( 0.03 * sin__q_WFE__) + 0.02075) * sin__q_WR__);
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(2,3) = (((- 0.03 * sin__q_WFE__) - 0.02075) * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::Type_fr_Wrist_R_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(0,3) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(2,3) = (( 0.03 * cos__q_WFE__) + 0.184);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::Type_fr_Wrist_FE_X_fr_ee()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.03;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::update(const JointState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::Type_fr_Shoulder_AA_X_fr_HyABase()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,0) = - sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::Type_fr_Shoulder_FE_X_fr_HyABase()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,3) = (- 0.178 * sin__q_SFE__);
+ (*this)(1,0) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,3) = (- 0.178 * cos__q_SFE__);
+ (*this)(2,0) = sin__q_SAA__;
+ (*this)(2,1) = - cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::Type_fr_Humerus_R_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(0,3) = ((- 0.178 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(1,0) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(1,3) = ((- 0.178 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(2,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = ((- 0.178 * sin__q_SFE__) - 0.112);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::Type_fr_Elbow_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(0,3) = ((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__));
+ (*this)(1,0) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(1,3) = (((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__));
+ (*this)(2,0) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(2,1) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (( 0.178 * sin__q_HR__) * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::Type_fr_Wrist_R_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(0,3) = (((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * sin__q_WR__) - ((( 0.178 * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(1,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(1,3) = (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WR__));
+ (*this)(2,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = (((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__)) - 0.112);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::Type_fr_Wrist_FE_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = ((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * sin__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) - ( 0.02075 * sin__q_WFE__)) + ((((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__)) - 0.296) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((((( 0.178 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * cos__q_EFE__)) + 0.296) * sin__q_WFE__)) - ( 0.02075 * cos__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::Type_fr_ee_X_fr_HyABase()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(0,3) = (((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * sin__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) - ( 0.02075 * sin__q_WFE__)) + ((((((- 0.178 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) - ( 0.416 * cos__q_EFE__)) - 0.296) * cos__q_WFE__)) - 0.03);
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(1,3) = ((((((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WFE__) * sin__q_WR__) - (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((((( 0.178 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * cos__q_EFE__)) + 0.296) * sin__q_WFE__)) - ( 0.02075 * cos__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = (((( 0.178 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + ((((( 0.178 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + ( 0.416 * sin__q_EFE__)) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::Type_fr_HyABase_X_fr_SAA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::update(const JointState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::Type_fr_HyABase_X_fr_SFE()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,2) = - cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::Type_fr_HyABase_X_fr_HR()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = - sin__q_SAA__;
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,3) = (( 0.112 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = cos__q_SAA__;
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,3) = (( 0.112 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(2,3) = (( 0.112 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::Type_fr_HyABase_X_fr_EFE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,3) = (( 0.416 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(1,3) = (( 0.416 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,3) = (( 0.416 * sin__q_SFE__) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::Type_fr_HyABase_X_fr_WR()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,3) = ((((((- 0.112 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.112 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,3) = ((((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::Type_fr_HyABase_X_fr_WFE()
+{
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,3) = (((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__)) - (((( 0.296 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.296 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,3) = ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WR__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + ((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) + 0.178);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::Type_fr_Shoulder_FE_X_fr_Shoulder_AA()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(0,3) = (- 0.178 * sin__q_SFE__);
+ (*this)(1,0) = - sin__q_SFE__;
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(1,3) = (- 0.178 * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::Type_fr_Shoulder_AA_X_fr_Shoulder_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.178;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,1) = - sin__q_SFE__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::Type_fr_Humerus_R_X_fr_Shoulder_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.112;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,1) = sin__q_HR__;
+ (*this)(0,2) = - cos__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,2) = sin__q_HR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::Type_fr_Shoulder_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.112;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(1,0) = sin__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(2,0) = - cos__q_HR__;
+ (*this)(2,1) = sin__q_HR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::Type_fr_Elbow_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = - 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,1) = sin__q_EFE__;
+ (*this)(0,2) = cos__q_EFE__;
+ (*this)(0,3) = (- 0.304 * cos__q_EFE__);
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(1,2) = - sin__q_EFE__;
+ (*this)(1,3) = ( 0.304 * sin__q_EFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::Type_fr_Humerus_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.304;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(1,0) = sin__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(2,0) = cos__q_EFE__;
+ (*this)(2,1) = - sin__q_EFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::Type_fr_Wrist_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.112;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,1) = sin__q_WR__;
+ (*this)(0,2) = - cos__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,2) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::Type_fr_Elbow_FE_X_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.112;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(1,0) = sin__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(2,0) = - cos__q_WR__;
+ (*this)(2,1) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::Type_fr_Wrist_FE_X_fr_Wrist_R()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R& iit::HyA::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,2) = cos__q_WFE__;
+ (*this)(0,3) = ((- 0.02075 * sin__q_WFE__) - ( 0.184 * cos__q_WFE__));
+ (*this)(1,0) = cos__q_WFE__;
+ (*this)(1,2) = - sin__q_WFE__;
+ (*this)(1,3) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ return *this;
+}
+
diff --git a/ct_models/include/ct/models/HyA/generated/transforms_motion.impl.h b/ct_models/include/ct/models/HyA/generated/transforms_motion.impl.h
new file mode 100644
index 0000000..1f443f3
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/generated/transforms_motion.impl.h
@@ -0,0 +1,2704 @@
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::MotionTransforms
+ ()
+ :
+ fr_HyABase_X_fr_Shoulder_AA(),
+ fr_HyABase_X_fr_Shoulder_FE(),
+ fr_HyABase_X_fr_Humerus_R(),
+ fr_HyABase_X_fr_Elbow_FE(),
+ fr_HyABase_X_fr_Wrist_R(),
+ fr_HyABase_X_fr_Wrist_FE(),
+ fr_HyABase_X_fr_ee(),
+ fr_HyABase_X_fr_Shoulder_AA_COM(),
+ fr_HyABase_X_fr_Shoulder_FE_COM(),
+ fr_HyABase_X_fr_Humerus_R_COM(),
+ fr_HyABase_X_fr_Elbow_FE_COM(),
+ fr_HyABase_X_fr_Wrist_R_COM(),
+ fr_HyABase_X_fr_Wrist_FE_COM(),
+ fr_Shoulder_FE_X_fr_Wrist_FE(),
+ fr_Humerus_R_X_fr_Wrist_FE(),
+ fr_Elbow_FE_X_fr_Wrist_FE(),
+ fr_Wrist_R_X_fr_Wrist_FE(),
+ fr_Wrist_FE_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_ee(),
+ fr_Humerus_R_X_fr_ee(),
+ fr_Elbow_FE_X_fr_ee(),
+ fr_Wrist_R_X_fr_ee(),
+ fr_Wrist_FE_X_fr_ee(),
+ fr_Shoulder_AA_X_fr_HyABase(),
+ fr_Shoulder_FE_X_fr_HyABase(),
+ fr_Humerus_R_X_fr_HyABase(),
+ fr_Elbow_FE_X_fr_HyABase(),
+ fr_Wrist_R_X_fr_HyABase(),
+ fr_Wrist_FE_X_fr_HyABase(),
+ fr_ee_X_fr_HyABase(),
+ fr_HyABase_X_fr_SAA(),
+ fr_HyABase_X_fr_SFE(),
+ fr_HyABase_X_fr_HR(),
+ fr_HyABase_X_fr_EFE(),
+ fr_HyABase_X_fr_WR(),
+ fr_HyABase_X_fr_WFE(),
+ fr_Shoulder_FE_X_fr_Shoulder_AA(),
+ fr_Shoulder_AA_X_fr_Shoulder_FE(),
+ fr_Humerus_R_X_fr_Shoulder_FE(),
+ fr_Shoulder_FE_X_fr_Humerus_R(),
+ fr_Elbow_FE_X_fr_Humerus_R(),
+ fr_Humerus_R_X_fr_Elbow_FE(),
+ fr_Wrist_R_X_fr_Elbow_FE(),
+ fr_Elbow_FE_X_fr_Wrist_R(),
+ fr_Wrist_FE_X_fr_Wrist_R()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::HyA::tpl::MotionTransforms<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::Type_fr_HyABase_X_fr_Shoulder_AA()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::Type_fr_HyABase_X_fr_Shoulder_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(3,2) = ( 0.178 * cos__q_SAA__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,2) = ( 0.178 * sin__q_SAA__);
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::Type_fr_HyABase_X_fr_Humerus_R()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,1) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::Type_fr_HyABase_X_fr_Elbow_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,0) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,1) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::Type_fr_HyABase_X_fr_Wrist_R()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,1) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,1) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(5,1) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::Type_fr_HyABase_X_fr_Wrist_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,1) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(5,1) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::Type_fr_HyABase_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,2) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,1) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(5,1) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + ((( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = ((((((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::Type_fr_HyABase_X_fr_Shoulder_AA_COM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 3.6E-4;
+ (*this)(5,1) = - 2.0E-4;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_AA_COM::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = - sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,0) = (- 0.00309 * sin__q_SAA__);
+ (*this)(3,1) = (- 0.00309 * cos__q_SAA__);
+ (*this)(3,2) = ((- 2.0E-4 * sin__q_SAA__) - ( 3.6E-4 * cos__q_SAA__));
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = - sin__q_SAA__;
+ (*this)(4,0) = ( 0.00309 * cos__q_SAA__);
+ (*this)(4,1) = (- 0.00309 * sin__q_SAA__);
+ (*this)(4,2) = (( 2.0E-4 * cos__q_SAA__) - ( 3.6E-4 * sin__q_SAA__));
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::Type_fr_HyABase_X_fr_Shoulder_FE_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Shoulder_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,0) = ((((- 0.00117 * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.02338 * sin__q_SAA__));
+ (*this)(3,1) = (((( 0.178 * sin__q_SAA__) * sin__q_SFE__) - (( 0.00117 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.00383 * sin__q_SAA__));
+ (*this)(3,2) = ((((- 0.00383 * cos__q_SAA__) * sin__q_SFE__) - (( 0.02338 * cos__q_SAA__) * cos__q_SFE__)) + ( 0.178 * cos__q_SAA__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = ((((- 0.00117 * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) - ( 0.02338 * cos__q_SAA__));
+ (*this)(4,1) = ((((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - (( 0.00117 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.00383 * cos__q_SAA__));
+ (*this)(4,2) = ((((- 0.00383 * sin__q_SAA__) * sin__q_SFE__) - (( 0.02338 * sin__q_SAA__) * cos__q_SFE__)) + ( 0.178 * sin__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = - cos__q_SAA__;
+ (*this)(5,0) = ( 0.00117 * cos__q_SFE__);
+ (*this)(5,1) = (- 0.00117 * sin__q_SFE__);
+ (*this)(5,2) = (( 0.00383 * cos__q_SFE__) - ( 0.02338 * sin__q_SFE__));
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::Type_fr_HyABase_X_fr_Humerus_R_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Humerus_R_COM::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = ((((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.08646 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * cos__q_SAA__) * cos__q_SFE__)) + (( 0.08646 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - (( 0.178 * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.00239 * sin__q_HR__) - ( 0.00618 * cos__q_HR__)) * sin__q_SAA__));
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = (((((((- 0.08646 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00618 * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.08646 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((( 0.08646 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.00239 * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.08646 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((((((- 0.00618 * sin__q_HR__) - ( 0.00239 * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + (( 0.178 * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00618 * cos__q_HR__) - ( 0.00239 * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = ((( 0.08646 * cos__q_HR__) * cos__q_SFE__) - ( 0.00618 * sin__q_SFE__));
+ (*this)(5,1) = ((- 0.00239 * sin__q_SFE__) - (( 0.08646 * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,2) = ((( 0.00618 * sin__q_HR__) + ( 0.00239 * cos__q_HR__)) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::Type_fr_HyABase_X_fr_Elbow_FE_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Elbow_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.178 * cos__q_EFE__) * sin__q_SAA__) - (( 0.00102 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + (((( 0.00102 * cos__q_EFE__) * sin__q_HR__) + ((( 0.416 * sin__q_EFE__) + 0.01125) * cos__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * sin__q_EFE__) * sin__q_SAA__) - (( 0.00102 * cos__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((((( 0.416 * cos__q_EFE__) - 0.1466) * cos__q_HR__) - (( 0.00102 * sin__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * cos__q_SAA__) * cos__q_SFE__)) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (((((((((( 0.416 * sin__q_EFE__) + 0.01125) * sin__q_HR__) - (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (((( 0.178 * cos__q_EFE__) * cos__q_SAA__) - (( 0.00102 * sin__q_EFE__) * sin__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((((- 0.416 * sin__q_EFE__) - 0.01125) * cos__q_HR__) - (( 0.00102 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__));
+ (*this)(4,1) = (((((((((( 0.416 * cos__q_EFE__) - 0.1466) * sin__q_HR__) + (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.00102 * cos__q_EFE__) * sin__q_SAA__) - (( 0.178 * sin__q_EFE__) * cos__q_SAA__)) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + (((( 0.00102 * sin__q_EFE__) * sin__q_HR__) + (( 0.1466 - ( 0.416 * cos__q_EFE__)) * cos__q_HR__)) * cos__q_SAA__));
+ (*this)(4,2) = (((((((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((( 0.01125 * sin__q_EFE__) - ( 0.1466 * cos__q_EFE__)) + 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,0) = ((((((- 0.416 * sin__q_EFE__) - 0.01125) * sin__q_HR__) + (( 0.00102 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(5,1) = ((((( 0.1466 - ( 0.416 * cos__q_EFE__)) * sin__q_HR__) - (( 0.00102 * sin__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.00102 * cos__q_EFE__) * sin__q_SFE__));
+ (*this)(5,2) = ((((- 0.1466 * sin__q_EFE__) - ( 0.01125 * cos__q_EFE__)) * sin__q_SFE__) + (((((- 0.01125 * sin__q_EFE__) + ( 0.1466 * cos__q_EFE__)) - 0.416) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::Type_fr_HyABase_X_fr_Wrist_R_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_R_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,1) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,1) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.08883) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,2) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.00261 * cos__q_EFE__) * sin__q_HR__) - ( 4.0E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.00261 * cos__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.00261 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.00261 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((((((((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.08883 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.08883 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.08883) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.08883) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 4.0E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 4.0E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((((((((((((( 0.00261 * cos__q_EFE__) * cos__q_HR__) - ( 4.0E-4 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.00261 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.00261 * cos__q_EFE__) * sin__q_HR__) + ( 4.0E-4 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WR__) + ((((((( 0.00261 * sin__q_HR__) + (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 4.0E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.00261 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,4) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.08883 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.08883 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__)) + (( 0.00261 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.00261 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,1) = ((((((( 0.08883 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.08883 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.08883) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 4.0E-4 * cos__q_EFE__) * sin__q_SFE__)) + ((( 4.0E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,2) = (((((( 0.00261 * sin__q_EFE__) * sin__q_SFE__) + ((( 4.0E-4 * sin__q_HR__) - (( 0.00261 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * sin__q_WR__) + (((( 4.0E-4 * sin__q_EFE__) * sin__q_SFE__) + (((- 0.00261 * sin__q_HR__) - (( 4.0E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::Type_fr_HyABase_X_fr_Wrist_FE_COM()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_Wrist_FE_COM::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(2,1) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = (((((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,2) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.01063 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((- 0.07876 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.07876 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = ((((((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_HR__) + ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.02075 * cos__q_EFE__) * sin__q_HR__) - ( 8.4E-4 * cos__q_HR__)) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,1) = (((((((((((((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((((- 8.4E-4 * cos__q_EFE__) * sin__q_HR__) - ( 0.02075 * cos__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + (( 0.07876 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 8.4E-4 * cos__q_HR__) - (( 0.02075 * cos__q_EFE__) * sin__q_HR__)) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + (((((((- 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 8.4E-4 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 8.4E-4 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,2) = ((((((((((((((((((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.01063 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((- 0.07876 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((( 0.01063 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.01063 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.07876 * cos__q_HR__) * cos__q_SAA__) - ((( 0.07876 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.07876 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.07876 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) + ((((((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.01063 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + ((((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + ((((((( 1.0 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = (((((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__) + ((( 0.02075 * sin__q_HR__) - (( 8.4E-4 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) + (((- 8.4E-4 * sin__q_HR__) - (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__)) * cos__q_WFE__)) - (( 0.01063 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(5,1) = (((((((((((( 8.4E-4 * cos__q_EFE__) * cos__q_HR__) - ( 0.02075 * sin__q_HR__)) * cos__q_SFE__) - (( 8.4E-4 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + (( 0.07876 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 8.4E-4 * sin__q_HR__) + (( 0.02075 * cos__q_EFE__) * cos__q_HR__)) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) - ((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) + (((( 8.4E-4 * cos__q_EFE__) * sin__q_SFE__) + ((( 8.4E-4 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,2) = ((((((((((((( 0.01063 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__) + ((((( 0.07876 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.07876 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.01063 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.07876 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + ((((- 0.07876 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.07876 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + ((((- 0.01063 * cos__q_EFE__) * sin__q_SFE__) - ((( 0.01063 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(5,4) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::Type_fr_Shoulder_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(3,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(3,1) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(3,2) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,0) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,1) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(4,2) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,0) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(5,1) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::Type_fr_Humerus_R_X_fr_Wrist_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(3,0) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(3,1) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__) - ( 0.02075 * sin__q_WFE__)) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(3,2) = (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WR__);
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,0) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = (((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,2) = ((((- 0.296 * cos__q_EFE__) - 0.304) * sin__q_WR__) + ( 0.02075 * sin__q_EFE__));
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(5,1) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(5,2) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::Type_fr_Elbow_FE_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0.02075;
+ (*this)(3,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,2) = (- 0.296 * sin__q_WR__);
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(5,1) = ((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(5,2) = ( 0.296 * cos__q_WR__);
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::Type_fr_Wrist_R_X_fr_Wrist_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = - 0.184;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.02075;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Wrist_FE::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(4,0) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(4,1) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::Type_fr_Wrist_FE_X_fr_Shoulder_FE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(0,2) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(1,0) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,0) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(3,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(3,1) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(3,2) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(3,5) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,0) = ((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__) - (( 0.02075 * sin__q_HR__) * sin__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(4,2) = (((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + ((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,3) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,0) = ((( 0.296 * sin__q_EFE__) * sin__q_WR__) + ( 0.02075 * cos__q_EFE__));
+ (*this)(5,1) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_WR__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(5,2) = ((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_WR__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WR__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(5,3) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::Type_fr_Shoulder_FE_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(0,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(0,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(1,0) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(1,1) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(2,0) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(2,1) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(2,2) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ (*this)(3,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(3,1) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(3,2) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(3,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(3,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(3,5) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(4,0) = ((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * sin__q_WFE__) + (( 0.02075 * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_WFE__));
+ (*this)(4,1) = (((((((- 0.02075 * sin__q_HR__) * sin__q_WFE__) + ((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_WFE__)) - ( 0.03 * sin__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__));
+ (*this)(4,2) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) - (( 0.03 * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * cos__q_HR__));
+ (*this)(4,3) = ((((( cos__q_EFE__ * cos__q_HR__) * sin__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_WFE__));
+ (*this)(4,4) = ((((( cos__q_EFE__ * cos__q_HR__) * cos__q_WFE__) * sin__q_WR__) + (( sin__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * cos__q_HR__) * sin__q_WFE__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_WR__) - ( sin__q_HR__ * sin__q_WR__));
+ (*this)(5,0) = (((((((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_WFE__) - (( 0.02075 * cos__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_WFE__) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * cos__q_WR__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_WFE__));
+ (*this)(5,1) = ((((((( 0.02075 * cos__q_HR__) * sin__q_WFE__) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * cos__q_WFE__)) + ( 0.03 * cos__q_HR__)) * sin__q_WR__) + (((((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_WFE__) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_WFE__)) + (( 0.03 * cos__q_EFE__) * sin__q_HR__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_WFE__));
+ (*this)(5,2) = ((((((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_WFE__)) * sin__q_WR__) + (((( 0.03 * cos__q_HR__) * cos__q_WFE__) + ((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__)) * cos__q_WR__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_WFE__)) + (( 0.02075 * sin__q_EFE__) * sin__q_HR__));
+ (*this)(5,3) = ((((( cos__q_EFE__ * sin__q_HR__) * sin__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * sin__q_WFE__) * cos__q_WR__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_WFE__));
+ (*this)(5,4) = ((((( cos__q_EFE__ * sin__q_HR__) * cos__q_WFE__) * sin__q_WR__) - (( cos__q_HR__ * cos__q_WFE__) * cos__q_WR__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_WFE__));
+ (*this)(5,5) = (( cos__q_HR__ * sin__q_WR__) + (( cos__q_EFE__ * sin__q_HR__) * cos__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::Type_fr_Humerus_R_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,0) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(0,1) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(0,2) = - sin__q_WR__;
+ (*this)(1,0) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(1,1) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(1,2) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(2,0) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(2,1) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(2,2) = (- sin__q_EFE__ * cos__q_WR__);
+ (*this)(3,0) = ((((((- 0.304 * cos__q_EFE__) - 0.296) * sin__q_WFE__) + ( 0.02075 * cos__q_WFE__)) * sin__q_WR__) - (( 0.304 * sin__q_EFE__) * cos__q_WFE__));
+ (*this)(3,1) = (((((- 0.02075 * sin__q_WFE__) + (((- 0.304 * cos__q_EFE__) - 0.296) * cos__q_WFE__)) - 0.03) * sin__q_WR__) + (( 0.304 * sin__q_EFE__) * sin__q_WFE__));
+ (*this)(3,2) = ((((- 0.03 * cos__q_WFE__) - ( 0.304 * cos__q_EFE__)) - 0.296) * cos__q_WR__);
+ (*this)(3,3) = ( sin__q_WFE__ * cos__q_WR__);
+ (*this)(3,4) = ( cos__q_WFE__ * cos__q_WR__);
+ (*this)(3,5) = - sin__q_WR__;
+ (*this)(4,0) = ((((( 0.296 * cos__q_EFE__) + 0.304) * sin__q_WFE__) - (( 0.02075 * cos__q_EFE__) * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = ((((( 0.02075 * cos__q_EFE__) * sin__q_WFE__) + ((( 0.296 * cos__q_EFE__) + 0.304) * cos__q_WFE__)) + ( 0.03 * cos__q_EFE__)) * cos__q_WR__);
+ (*this)(4,2) = (((((((- 0.03 * cos__q_EFE__) * cos__q_WFE__) - ( 0.296 * cos__q_EFE__)) - 0.304) * sin__q_WR__) + (( 0.03 * sin__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * sin__q_EFE__));
+ (*this)(4,3) = ((( cos__q_EFE__ * sin__q_WFE__) * sin__q_WR__) + ( sin__q_EFE__ * cos__q_WFE__));
+ (*this)(4,4) = ((( cos__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( sin__q_EFE__ * sin__q_WFE__));
+ (*this)(4,5) = ( cos__q_EFE__ * cos__q_WR__);
+ (*this)(5,0) = (((( 0.02075 * sin__q_EFE__) * cos__q_WFE__) - (( 0.296 * sin__q_EFE__) * sin__q_WFE__)) * cos__q_WR__);
+ (*this)(5,1) = (((((- 0.02075 * sin__q_EFE__) * sin__q_WFE__) - (( 0.296 * sin__q_EFE__) * cos__q_WFE__)) - ( 0.03 * sin__q_EFE__)) * cos__q_WR__);
+ (*this)(5,2) = (((((( 0.03 * sin__q_EFE__) * cos__q_WFE__) + ( 0.296 * sin__q_EFE__)) * sin__q_WR__) + (( 0.03 * cos__q_EFE__) * sin__q_WFE__)) + ( 0.02075 * cos__q_EFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * cos__q_WFE__) - (( sin__q_EFE__ * sin__q_WFE__) * sin__q_WR__));
+ (*this)(5,4) = (((- sin__q_EFE__ * cos__q_WFE__) * sin__q_WR__) - ( cos__q_EFE__ * sin__q_WFE__));
+ (*this)(5,5) = (- sin__q_EFE__ * cos__q_WR__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::Type_fr_Elbow_FE_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = cos__q_WFE__;
+ (*this)(0,1) = - sin__q_WFE__;
+ (*this)(1,0) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(1,1) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(1,2) = cos__q_WR__;
+ (*this)(2,0) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(2,1) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(2,2) = sin__q_WR__;
+ (*this)(3,2) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(3,3) = cos__q_WFE__;
+ (*this)(3,4) = - sin__q_WFE__;
+ (*this)(4,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * cos__q_WR__);
+ (*this)(4,1) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * cos__q_WR__);
+ (*this)(4,2) = (((- 0.03 * cos__q_WFE__) - 0.296) * sin__q_WR__);
+ (*this)(4,3) = ( sin__q_WFE__ * sin__q_WR__);
+ (*this)(4,4) = ( cos__q_WFE__ * sin__q_WR__);
+ (*this)(4,5) = cos__q_WR__;
+ (*this)(5,0) = ((( 0.296 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__)) * sin__q_WR__);
+ (*this)(5,1) = (((( 0.02075 * sin__q_WFE__) + ( 0.296 * cos__q_WFE__)) + 0.03) * sin__q_WR__);
+ (*this)(5,2) = ((( 0.03 * cos__q_WFE__) + 0.296) * cos__q_WR__);
+ (*this)(5,3) = (- sin__q_WFE__ * cos__q_WR__);
+ (*this)(5,4) = (- cos__q_WFE__ * cos__q_WR__);
+ (*this)(5,5) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::Type_fr_Wrist_R_X_fr_ee()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_ee::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,1) = cos__q_WFE__;
+ (*this)(2,0) = cos__q_WFE__;
+ (*this)(2,1) = - sin__q_WFE__;
+ (*this)(3,2) = ((- 0.03 * cos__q_WFE__) - 0.184);
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,4) = cos__q_WFE__;
+ (*this)(4,0) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(4,1) = ((( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__)) + 0.03);
+ (*this)(5,2) = (( 0.03 * sin__q_WFE__) + 0.02075);
+ (*this)(5,3) = cos__q_WFE__;
+ (*this)(5,4) = - sin__q_WFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::Type_fr_Wrist_FE_X_fr_ee()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.03;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0.03;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_ee::update(const JointState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::Type_fr_Shoulder_AA_X_fr_HyABase()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,1) = sin__q_SAA__;
+ (*this)(1,0) = - sin__q_SAA__;
+ (*this)(1,1) = cos__q_SAA__;
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,4) = sin__q_SAA__;
+ (*this)(4,3) = - sin__q_SAA__;
+ (*this)(4,4) = cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::Type_fr_Shoulder_FE_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(1,0) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(2,0) = sin__q_SAA__;
+ (*this)(2,1) = - cos__q_SAA__;
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,0) = (( 0.178 * sin__q_SAA__) * sin__q_SFE__);
+ (*this)(4,1) = ((- 0.178 * cos__q_SAA__) * sin__q_SFE__);
+ (*this)(4,3) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = cos__q_SFE__;
+ (*this)(5,0) = ( 0.178 * cos__q_SAA__);
+ (*this)(5,1) = ( 0.178 * sin__q_SAA__);
+ (*this)(5,3) = sin__q_SAA__;
+ (*this)(5,4) = - cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::Type_fr_Humerus_R_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,2) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(1,0) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((((( 0.178 * sin__q_HR__) * sin__q_SAA__) - (( 0.112 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = ((((((- 0.112 * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) - (( 0.112 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (( 0.112 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(4,0) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.112 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.112 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((( 0.112 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.112 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = ((- 0.112 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(4,3) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(5,1) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(5,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(5,4) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::Type_fr_Elbow_FE_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(0,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(1,0) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,0) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(2,1) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(4,0) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = (((((((( 0.416 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((- 0.416 * cos__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(4,3) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,0) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(5,4) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::Type_fr_Wrist_R_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(1,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(2,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(2,1) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,1) = ((((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = ((((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(3,3) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(4,0) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,1) = ((((((((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = ((((( 0.112 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__));
+ (*this)(4,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(5,0) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,1) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,4) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::Type_fr_Wrist_FE_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,2) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,0) = ((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,1) = ((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__) - ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,0) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,1) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::Type_fr_ee_X_fr_HyABase()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_HyABase::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WFE__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(0,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(1,0) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,1) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(1,2) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(2,0) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(2,1) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * sin__q_WR__) + (((((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,1) = (((((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__)) * sin__q_WR__) + ((((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) * cos__q_WR__)) + ((((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,2) = (((((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + ((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * sin__q_WR__) + (((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__)) * cos__q_WR__)) - (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__));
+ (*this)(3,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WFE__) * cos__q_WR__)) + ((((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__));
+ (*this)(3,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * sin__q_WFE__) * cos__q_WR__)) + (((( 1.0 * cos__q_EFE__) * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__));
+ (*this)(4,0) = ((((((((((( 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + (((((((((- 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,1) = ((((((((((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) + ((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((((- 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__)) - (((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,2) = ((((((((- 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) - (( 0.03 * sin__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - (( 0.02075 * sin__q_EFE__) * sin__q_SFE__)) * sin__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WFE__)) - (( 0.03 * sin__q_EFE__) * sin__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) + (((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__) * sin__q_WFE__));
+ (*this)(4,3) = (((((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,4) = (((((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) * sin__q_WR__) + (((( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WFE__) * cos__q_WR__)) + (((((( sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__));
+ (*this)(4,5) = (((((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WFE__) * sin__q_WR__) + ((( sin__q_HR__ * cos__q_SFE__) * cos__q_WFE__) * cos__q_WR__)) + (((- cos__q_EFE__ * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__));
+ (*this)(5,0) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( 0.03 * cos__q_HR__) * sin__q_SAA__)) * cos__q_WFE__) + ((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(5,1) = ((((((((((((((((( 0.03 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.03 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.03 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( 0.03 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WFE__) + (((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + (((((((- 0.03 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.03 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.03 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WFE__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,2) = ((((((((((( 0.03 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.03 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WFE__) + (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) - ((( 0.03 * sin__q_HR__) * cos__q_SFE__) * cos__q_WFE__)) * cos__q_WR__)) + (((( 0.03 * cos__q_EFE__) * sin__q_SFE__) + ((( 0.03 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WFE__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = ((((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(5,4) = ((((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::Type_fr_HyABase_X_fr_SAA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SAA::update(const JointState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::Type_fr_HyABase_X_fr_SFE()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_SFE::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR cos__q_SAA__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+
+ (*this)(0,0) = cos__q_SAA__;
+ (*this)(0,2) = sin__q_SAA__;
+ (*this)(1,0) = sin__q_SAA__;
+ (*this)(1,2) = - cos__q_SAA__;
+ (*this)(3,0) = (- 0.178 * sin__q_SAA__);
+ (*this)(3,2) = ( 0.178 * cos__q_SAA__);
+ (*this)(3,3) = cos__q_SAA__;
+ (*this)(3,5) = sin__q_SAA__;
+ (*this)(4,0) = ( 0.178 * cos__q_SAA__);
+ (*this)(4,2) = ( 0.178 * sin__q_SAA__);
+ (*this)(4,3) = sin__q_SAA__;
+ (*this)(4,5) = - cos__q_SAA__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::Type_fr_HyABase_X_fr_HR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_HR::update(const JointState& q) {
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = - sin__q_SAA__;
+ (*this)(0,1) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(0,2) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(1,0) = cos__q_SAA__;
+ (*this)(1,1) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(1,2) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(2,2) = sin__q_SFE__;
+ (*this)(3,0) = (((- 0.112 * cos__q_SAA__) * sin__q_SFE__) - ( 0.178 * cos__q_SAA__));
+ (*this)(3,1) = ((( 0.178 * sin__q_SAA__) * sin__q_SFE__) + ( 0.112 * sin__q_SAA__));
+ (*this)(3,2) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,3) = - sin__q_SAA__;
+ (*this)(3,4) = (- cos__q_SAA__ * sin__q_SFE__);
+ (*this)(3,5) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(4,0) = (((- 0.112 * sin__q_SAA__) * sin__q_SFE__) - ( 0.178 * sin__q_SAA__));
+ (*this)(4,1) = (((- 0.178 * cos__q_SAA__) * sin__q_SFE__) - ( 0.112 * cos__q_SAA__));
+ (*this)(4,2) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,3) = cos__q_SAA__;
+ (*this)(4,4) = (- sin__q_SAA__ * sin__q_SFE__);
+ (*this)(4,5) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(5,0) = ( 0.112 * cos__q_SFE__);
+ (*this)(5,4) = cos__q_SFE__;
+ (*this)(5,5) = sin__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::Type_fr_HyABase_X_fr_EFE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_EFE::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,0) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(0,1) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(0,2) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(1,0) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(1,1) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(1,2) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(2,2) = (- sin__q_HR__ * cos__q_SFE__);
+ (*this)(3,0) = ((- 0.178 * sin__q_SAA__) * cos__q_SFE__);
+ (*this)(3,1) = (((((( 0.178 * cos__q_HR__) * sin__q_SAA__) + (( 0.416 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.416 * cos__q_HR__) * sin__q_SAA__)) + (( 0.178 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((( 0.416 * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) - (( 0.416 * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = ( cos__q_SAA__ * cos__q_SFE__);
+ (*this)(3,4) = (( sin__q_HR__ * sin__q_SAA__) - (( cos__q_HR__ * cos__q_SAA__) * sin__q_SFE__));
+ (*this)(3,5) = ((( sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(4,0) = (( 0.178 * cos__q_SAA__) * cos__q_SFE__);
+ (*this)(4,1) = (((((( 0.416 * sin__q_HR__) * sin__q_SAA__) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * sin__q_HR__) * sin__q_SAA__)) - (( 0.416 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((((( 0.416 * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (( 0.416 * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = ( sin__q_SAA__ * cos__q_SFE__);
+ (*this)(4,4) = (((- cos__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( sin__q_HR__ * cos__q_SAA__));
+ (*this)(4,5) = ((( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__));
+ (*this)(5,1) = ((- 0.416 * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = ((- 0.416 * cos__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = ( cos__q_HR__ * cos__q_SFE__);
+ (*this)(5,5) = (- sin__q_HR__ * cos__q_SFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::Type_fr_HyABase_X_fr_WR()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WR::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(0,1) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,2) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(1,0) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(1,1) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,2) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(2,0) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(2,1) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(2,2) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(3,0) = ((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.112 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.112) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,2) = (((((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,3) = (((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__));
+ (*this)(3,4) = (((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,5) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(4,0) = (((((((((- 0.112 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.112 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.112 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((((( 0.416 * cos__q_EFE__) + 0.112) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.112) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,2) = (((((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (( cos__q_HR__ * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__));
+ (*this)(4,4) = (((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,5) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(5,0) = ((((( 0.112 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.112 * sin__q_EFE__) * sin__q_SFE__));
+ (*this)(5,1) = ((((- 0.416 * cos__q_EFE__) - 0.112) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,2) = (((- 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__);
+ (*this)(5,3) = ( sin__q_HR__ * cos__q_SFE__);
+ (*this)(5,4) = ((( cos__q_EFE__ * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__));
+ (*this)(5,5) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::Type_fr_HyABase_X_fr_WFE()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_HyABase_X_fr_WFE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR sin__q_SFE__;
+ SCALAR sin__q_HR__;
+ SCALAR sin__q_SAA__;
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_HR__;
+ SCALAR cos__q_SAA__;
+ SCALAR cos__q_EFE__;
+ SCALAR cos__q_SFE__;
+ SCALAR cos__q_WR__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ sin__q_SAA__ = TRAIT::sin( q(SAA));
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+ cos__q_SAA__ = TRAIT::cos( q(SAA));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,0) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(0,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(0,2) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(1,0) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(1,1) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(1,2) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(2,0) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(2,1) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(2,2) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ (*this)(3,0) = ((((((((((- 0.02075 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( 0.02075 * cos__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__)) + ((((( 0.178 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) - ((( 0.178 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(3,1) = (((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((( 0.178 * sin__q_HR__) * sin__q_SAA__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * sin__q_SAA__)) - (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(3,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SAA__) - (( 0.178 * sin__q_HR__) * sin__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * sin__q_SAA__)) + (( 0.178 * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((( 0.178 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) + (((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.178 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (((( 0.416 * cos__q_EFE__) + 0.296) * cos__q_HR__) * sin__q_SAA__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,3) = (((((- sin__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( sin__q_EFE__ * sin__q_HR__) * sin__q_SAA__));
+ (*this)(3,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * sin__q_WR__) + ((((- sin__q_HR__ * cos__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(3,5) = (((((( 1.0 * sin__q_HR__) * cos__q_SAA__) * sin__q_SFE__) + ( cos__q_HR__ * sin__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * cos__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * cos__q_SAA__) * cos__q_SFE__)) + (( cos__q_EFE__ * sin__q_HR__) * sin__q_SAA__)) * cos__q_WR__));
+ (*this)(4,0) = ((((((((( 0.02075 * cos__q_HR__) * cos__q_SAA__) - ((( 0.02075 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) * sin__q_WR__) + ((((((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + ((( 0.02075 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) + ((((( 0.416 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * sin__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) - ((( 0.416 * sin__q_EFE__) * cos__q_HR__) * cos__q_SAA__));
+ (*this)(4,1) = ((((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + ((((((((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * sin__q_SAA__) - (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + ((((- 0.296 * cos__q_EFE__) - 0.416) * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(4,2) = (((((((((((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * sin__q_SAA__) + (( 0.178 * sin__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) + ((( 0.296 * sin__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) + (( 0.178 * cos__q_HR__) * sin__q_SAA__)) + (((( 0.296 * cos__q_EFE__) + 0.416) * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((((((((( 0.416 * cos__q_EFE__) + 0.296) * sin__q_HR__) * sin__q_SAA__) - ((( 0.178 * cos__q_EFE__) * cos__q_HR__) * cos__q_SAA__)) * sin__q_SFE__) - ((( 0.178 * sin__q_EFE__) * cos__q_SAA__) * cos__q_SFE__)) + ((( 0.178 * cos__q_EFE__) * sin__q_HR__) * sin__q_SAA__)) + ((((- 0.416 * cos__q_EFE__) - 0.296) * cos__q_HR__) * cos__q_SAA__)) * cos__q_WR__)) - (((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__)) + ((( 0.02075 * cos__q_EFE__) * sin__q_SAA__) * cos__q_SFE__)) - ((( 0.02075 * sin__q_EFE__) * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,3) = (((((- sin__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) + (( cos__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( sin__q_EFE__ * sin__q_HR__) * cos__q_SAA__));
+ (*this)(4,4) = (((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * sin__q_WR__) + (((( 1.0 * cos__q_HR__) * cos__q_SAA__) - (( sin__q_HR__ * sin__q_SAA__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(4,5) = (((((( 1.0 * sin__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - ( cos__q_HR__ * cos__q_SAA__)) * sin__q_WR__) + ((((((- cos__q_EFE__ * cos__q_HR__) * sin__q_SAA__) * sin__q_SFE__) - (( sin__q_EFE__ * sin__q_SAA__) * cos__q_SFE__)) - (( cos__q_EFE__ * sin__q_HR__) * cos__q_SAA__)) * cos__q_WR__));
+ (*this)(5,0) = ((((( 0.02075 * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((( 0.02075 * sin__q_EFE__) * sin__q_SFE__) - ((( 0.02075 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__)) * cos__q_WR__)) - ((( 0.416 * sin__q_EFE__) * sin__q_HR__) * cos__q_SFE__));
+ (*this)(5,1) = ((((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * sin__q_WR__) + (((((( 0.296 * cos__q_EFE__) + 0.416) * cos__q_HR__) * cos__q_SFE__) - (( 0.296 * sin__q_EFE__) * sin__q_SFE__)) * cos__q_WR__));
+ (*this)(5,2) = ((((((( 0.296 * sin__q_EFE__) * sin__q_SFE__) + ((((- 0.296 * cos__q_EFE__) - 0.416) * cos__q_HR__) * cos__q_SFE__)) * sin__q_WR__) + (((((- 0.416 * cos__q_EFE__) - 0.296) * sin__q_HR__) * cos__q_SFE__) * cos__q_WR__)) + (( 0.02075 * cos__q_EFE__) * sin__q_SFE__)) + ((( 0.02075 * sin__q_EFE__) * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,3) = (( cos__q_EFE__ * sin__q_SFE__) + (( sin__q_EFE__ * cos__q_HR__) * cos__q_SFE__));
+ (*this)(5,4) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * sin__q_WR__) + (( sin__q_HR__ * cos__q_SFE__) * cos__q_WR__));
+ (*this)(5,5) = (((((( 1.0 * cos__q_EFE__) * cos__q_HR__) * cos__q_SFE__) - ( sin__q_EFE__ * sin__q_SFE__)) * cos__q_WR__) - (( sin__q_HR__ * cos__q_SFE__) * sin__q_WR__));
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::Type_fr_Shoulder_FE_X_fr_Shoulder_AA()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0.178;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Shoulder_AA::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,2) = sin__q_SFE__;
+ (*this)(1,0) = - sin__q_SFE__;
+ (*this)(1,2) = cos__q_SFE__;
+ (*this)(3,1) = ( 0.178 * cos__q_SFE__);
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,5) = sin__q_SFE__;
+ (*this)(4,1) = (- 0.178 * sin__q_SFE__);
+ (*this)(4,3) = - sin__q_SFE__;
+ (*this)(4,5) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::Type_fr_Shoulder_AA_X_fr_Shoulder_FE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0.178;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_AA_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_SFE__;
+ SCALAR cos__q_SFE__;
+
+ sin__q_SFE__ = TRAIT::sin( q(SFE));
+ cos__q_SFE__ = TRAIT::cos( q(SFE));
+
+ (*this)(0,0) = cos__q_SFE__;
+ (*this)(0,1) = - sin__q_SFE__;
+ (*this)(2,0) = sin__q_SFE__;
+ (*this)(2,1) = cos__q_SFE__;
+ (*this)(3,3) = cos__q_SFE__;
+ (*this)(3,4) = - sin__q_SFE__;
+ (*this)(4,0) = ( 0.178 * cos__q_SFE__);
+ (*this)(4,1) = (- 0.178 * sin__q_SFE__);
+ (*this)(5,3) = sin__q_SFE__;
+ (*this)(5,4) = cos__q_SFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::Type_fr_Humerus_R_X_fr_Shoulder_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Shoulder_FE::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(0,1) = sin__q_HR__;
+ (*this)(0,2) = - cos__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(1,2) = sin__q_HR__;
+ (*this)(3,1) = ( 0.112 * cos__q_HR__);
+ (*this)(3,2) = ( 0.112 * sin__q_HR__);
+ (*this)(3,4) = sin__q_HR__;
+ (*this)(3,5) = - cos__q_HR__;
+ (*this)(4,1) = (- 0.112 * sin__q_HR__);
+ (*this)(4,2) = ( 0.112 * cos__q_HR__);
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(4,5) = sin__q_HR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::Type_fr_Shoulder_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Shoulder_FE_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_HR__;
+ SCALAR cos__q_HR__;
+
+ sin__q_HR__ = TRAIT::sin( q(HR));
+ cos__q_HR__ = TRAIT::cos( q(HR));
+
+ (*this)(1,0) = sin__q_HR__;
+ (*this)(1,1) = cos__q_HR__;
+ (*this)(2,0) = - cos__q_HR__;
+ (*this)(2,1) = sin__q_HR__;
+ (*this)(4,0) = ( 0.112 * cos__q_HR__);
+ (*this)(4,1) = (- 0.112 * sin__q_HR__);
+ (*this)(4,3) = sin__q_HR__;
+ (*this)(4,4) = cos__q_HR__;
+ (*this)(5,0) = ( 0.112 * sin__q_HR__);
+ (*this)(5,1) = ( 0.112 * cos__q_HR__);
+ (*this)(5,3) = - cos__q_HR__;
+ (*this)(5,4) = sin__q_HR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::Type_fr_Elbow_FE_X_fr_Humerus_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.304;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Humerus_R::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(0,1) = sin__q_EFE__;
+ (*this)(0,2) = cos__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(1,2) = - sin__q_EFE__;
+ (*this)(3,0) = (- 0.304 * sin__q_EFE__);
+ (*this)(3,4) = sin__q_EFE__;
+ (*this)(3,5) = cos__q_EFE__;
+ (*this)(4,0) = (- 0.304 * cos__q_EFE__);
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(4,5) = - sin__q_EFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::Type_fr_Humerus_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.304;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Humerus_R_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_EFE__;
+ SCALAR cos__q_EFE__;
+
+ sin__q_EFE__ = TRAIT::sin( q(EFE));
+ cos__q_EFE__ = TRAIT::cos( q(EFE));
+
+ (*this)(1,0) = sin__q_EFE__;
+ (*this)(1,1) = cos__q_EFE__;
+ (*this)(2,0) = cos__q_EFE__;
+ (*this)(2,1) = - sin__q_EFE__;
+ (*this)(3,0) = (- 0.304 * sin__q_EFE__);
+ (*this)(3,1) = (- 0.304 * cos__q_EFE__);
+ (*this)(4,3) = sin__q_EFE__;
+ (*this)(4,4) = cos__q_EFE__;
+ (*this)(5,3) = cos__q_EFE__;
+ (*this)(5,4) = - sin__q_EFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::Type_fr_Wrist_R_X_fr_Elbow_FE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_R_X_fr_Elbow_FE::update(const JointState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(0,1) = sin__q_WR__;
+ (*this)(0,2) = - cos__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(1,2) = sin__q_WR__;
+ (*this)(3,1) = ( 0.112 * cos__q_WR__);
+ (*this)(3,2) = ( 0.112 * sin__q_WR__);
+ (*this)(3,4) = sin__q_WR__;
+ (*this)(3,5) = - cos__q_WR__;
+ (*this)(4,1) = (- 0.112 * sin__q_WR__);
+ (*this)(4,2) = ( 0.112 * cos__q_WR__);
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(4,5) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::Type_fr_Elbow_FE_X_fr_Wrist_R()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Elbow_FE_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_WR__;
+ SCALAR cos__q_WR__;
+
+ sin__q_WR__ = TRAIT::sin( q(WR));
+ cos__q_WR__ = TRAIT::cos( q(WR));
+
+ (*this)(1,0) = sin__q_WR__;
+ (*this)(1,1) = cos__q_WR__;
+ (*this)(2,0) = - cos__q_WR__;
+ (*this)(2,1) = sin__q_WR__;
+ (*this)(4,0) = ( 0.112 * cos__q_WR__);
+ (*this)(4,1) = (- 0.112 * sin__q_WR__);
+ (*this)(4,3) = sin__q_WR__;
+ (*this)(4,4) = cos__q_WR__;
+ (*this)(5,0) = ( 0.112 * sin__q_WR__);
+ (*this)(5,1) = ( 0.112 * cos__q_WR__);
+ (*this)(5,3) = - cos__q_WR__;
+ (*this)(5,4) = sin__q_WR__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::Type_fr_Wrist_FE_X_fr_Wrist_R()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = - 0.184;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.02075;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R& iit::HyA::tpl::MotionTransforms<TRAIT>::Type_fr_Wrist_FE_X_fr_Wrist_R::update(const JointState& q) {
+ SCALAR sin__q_WFE__;
+ SCALAR cos__q_WFE__;
+
+ sin__q_WFE__ = TRAIT::sin( q(WFE));
+ cos__q_WFE__ = TRAIT::cos( q(WFE));
+
+ (*this)(0,0) = sin__q_WFE__;
+ (*this)(0,2) = cos__q_WFE__;
+ (*this)(1,0) = cos__q_WFE__;
+ (*this)(1,2) = - sin__q_WFE__;
+ (*this)(3,1) = (( 0.184 * sin__q_WFE__) - ( 0.02075 * cos__q_WFE__));
+ (*this)(3,3) = sin__q_WFE__;
+ (*this)(3,5) = cos__q_WFE__;
+ (*this)(4,1) = (( 0.02075 * sin__q_WFE__) + ( 0.184 * cos__q_WFE__));
+ (*this)(4,3) = cos__q_WFE__;
+ (*this)(4,5) = - sin__q_WFE__;
+ return *this;
+}
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/model/ct_HyA.dtdsl b/ct_models/include/ct/models/HyA/model/ct_HyA.dtdsl
new file mode 100644
index 0000000..46943e4
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/model/ct_HyA.dtdsl
@@ -0,0 +1,72 @@
+Robot ct_HyA
+
+Frames {
+ fr_HyABase, fr_Shoulder_AA, fr_Shoulder_FE, fr_Humerus_R, fr_Elbow_FE, fr_Wrist_R, fr_Wrist_FE, fr_HyABase__COM, fr_Shoulder_AA_COM, fr_Shoulder_FE_COM, fr_Humerus_R_COM, fr_Elbow_FE_COM, fr_Wrist_R_COM, fr_Wrist_FE_COM, fr_ee,
+ fr_Shoulder_AA_CTR, fr_Shoulder_FE_CTR, fr_Humerus_R_CTR, fr_Elbow_FE_CTR, fr_Wrist_R_CTR
+}
+
+Transforms {
+
+ base=fr_HyABase, target=fr_Shoulder_AA
+ base=fr_HyABase, target=fr_Shoulder_FE
+ base=fr_HyABase, target=fr_Humerus_R
+ base=fr_HyABase, target=fr_Elbow_FE
+ base=fr_HyABase, target=fr_Wrist_R
+ base=fr_HyABase, target=fr_Wrist_FE
+ base=fr_HyABase, target=fr_ee
+
+ base=fr_HyABase, target=fr_Shoulder_AA_COM
+ base=fr_HyABase, target=fr_Shoulder_FE_COM
+ base=fr_HyABase, target=fr_Humerus_R_COM
+ base=fr_HyABase, target=fr_Elbow_FE_COM
+ base=fr_HyABase, target=fr_Wrist_R_COM
+ base=fr_HyABase, target=fr_Wrist_FE_COM
+
+ base=fr_HyABase, target=fr_Shoulder_AA_CTR
+ base=fr_HyABase, target=fr_Shoulder_FE_CTR
+ base=fr_HyABase, target=fr_Humerus_R_CTR
+ base=fr_HyABase, target=fr_Elbow_FE_CTR
+ base=fr_HyABase, target=fr_Wrist_R_CTR
+
+ base=fr_Shoulder_FE, target=fr_Wrist_FE
+ base=fr_Humerus_R, target=fr_Wrist_FE
+ base=fr_Elbow_FE, target=fr_Wrist_FE
+ base=fr_Wrist_R, target=fr_Wrist_FE
+
+ base=fr_Shoulder_FE, target=fr_Wrist_FE
+ base=fr_Wrist_FE, target=fr_Shoulder_FE
+
+ base=fr_Shoulder_FE, target=fr_ee
+ base=fr_Humerus_R, target=fr_ee
+ base=fr_Elbow_FE, target=fr_ee
+ base=fr_Wrist_R, target=fr_ee
+ base=fr_Wrist_FE, target=fr_ee
+
+ base=fr_Shoulder_AA, target=fr_HyABase
+ base=fr_Shoulder_FE, target=fr_HyABase
+ base=fr_Humerus_R, target=fr_HyABase
+
+ base=fr_Elbow_FE, target=fr_HyABase
+
+ base=fr_Wrist_R, target=fr_HyABase
+ base=fr_Wrist_FE, target=fr_HyABase
+ base=fr_ee, target=fr_HyABase
+
+}
+
+Jacobians {
+ base=fr_HyABase, target=fr_ee
+ base=fr_HyABase, target=fr_Wrist_FE_COM
+ base=fr_HyABase, target=fr_Wrist_FE
+ base=fr_HyABase, target=fr_Wrist_R_COM
+ base=fr_HyABase, target=fr_Wrist_R
+ base=fr_HyABase, target=fr_Wrist_R_CTR
+ base=fr_HyABase, target=fr_Elbow_FE_COM
+ base=fr_HyABase, target=fr_Elbow_FE
+ base=fr_HyABase, target=fr_Elbow_FE_CTR
+ base=fr_HyABase, target=fr_Humerus_R_COM
+ base=fr_HyABase, target=fr_Humerus_R
+ base=fr_HyABase, target=fr_Humerus_R_CTR
+ base=fr_HyABase, target=fr_Shoulder_AA_CTR
+ base=fr_HyABase, target=fr_Shoulder_FE_CTR
+}
\ No newline at end of file
diff --git a/ct_models/include/ct/models/HyA/model/ct_HyA.kindsl b/ct_models/include/ct/models/HyA/model/ct_HyA.kindsl
new file mode 100644
index 0000000..a40feed
--- /dev/null
+++ b/ct_models/include/ct/models/HyA/model/ct_HyA.kindsl
@@ -0,0 +1,211 @@
+Robot ct_HyA {
+
+
+RobotBase HyABase {
+ inertia_params {
+ mass = 1.0
+ CoM = (0.0, 0.0, 0.0)
+ Iy=0.0 Ix=0.0 Ixy=0.0 Iz=0.0 Ixz=0.0 Iyz=0.0
+ }
+ children {
+ Shoulder_AA via SAA
+ }
+}
+
+link Shoulder_AA {
+ id = 1
+ inertia_params {
+ mass = 2.688
+ CoM = (-0.000196, -0.000361, 0.003091)
+ Ix=0.004985 Iy=0.007629 Iz=0.004716 Ixy=0.000585 Ixz=-0.000613 Iyz=-0.000894
+ ref_frame = fr_SFE
+ }
+ children {
+ Shoulder_FE via SFE
+ }
+ frames {
+ fr_Shoulder_AA_COM {
+ translation = (-0.000196, -0.000361, 0.003091)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_SFE {
+ translation = (0.0, 0.0, 0.178)
+ rotation = (PI/2.0, 0.0, 0.0)
+ }
+ fr_Shoulder_AA_CTR {
+ translation = (0.0, 0.0, 0.089)
+ rotation = (0.0, 0.0, 0.0)
+ }
+
+ }
+}
+
+
+link Shoulder_FE {
+ id = 2
+ inertia_params {
+ mass = 2.5924192
+ CoM = (-0.003832, -0.023382, 0.0011662)
+ Ix=0.018197 Iy=0.052659 Iz=0.039003 Ixy=-0.002752 Ixz=-0.021739 Iyz= 0.001261
+ ref_frame = fr_HR
+ }
+ children {
+ Humerus_R via HR
+ }
+ frames {
+ fr_Shoulder_FE_COM {
+ translation = (-0.003832, -0.023382, 0.0011662)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_HR {
+ translation = (0.112, 0.0, 0.0)
+ rotation = (0.0, PI/2.0, 0.0)
+ }
+
+ fr_Shoulder_FE_CTR {
+ translation = (0.056, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+
+link Humerus_R {
+ id = 3
+ inertia_params {
+ mass = 2.327
+ CoM = (-0.025544,0.006180,0.002390)
+ Ix=0.010330 Iy=0.030957 Iz=0.023452 Ixy=-0.000572 Ixz=-0.013406 Iyz=0.000054
+ ref_frame = fr_EFE
+ }
+ children {
+ Elbow_FE via EFE
+ }
+ frames {
+ fr_Humerus_R_COM {
+ translation = (-0.002390, 0.006180, -0.025544)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_EFE {
+ translation = (0.0, 0.0, 0.304)
+ rotation = (0.0, -PI/2.0, 0.0)
+ }
+ fr_Humerus_R_CTR {
+ translation = (0.0, 0.0, 0.152)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+link Elbow_FE {
+ id = 4
+ inertia_params {
+ mass = 1.7423721
+ CoM = (0.0,-0.005,-0.02)
+ Ix=0.081658 Iy=0.004234 Iz=0.081661 Ixy=-0.002292 Ixz=-0.000212 Iyz=-0.002710
+ ref_frame = fr_WR
+ }
+ children {
+ Wrist_R via WR
+ }
+ frames {
+ fr_Elbow_FE_COM {
+ translation = (-0.146648, -0.011245, 0.001022)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_WR {
+ translation = (0.112, 0.0, 0.0)
+ rotation = (0.0,PI/2.0, 0.0)
+ }
+ fr_Elbow_FE_CTR {
+ translation = (0.056, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+link Wrist_R {
+ id = 5
+ inertia_params {
+ mass = 2.1032
+ CoM = (0.0, 0.0, 0.0275)
+ Ix=0.019432 Iy=0.029115 Iz=0.011046 Ixy=0.001387 Ixz=0.012652 Iyz=0.001243
+ }
+ children {
+ Wrist_FE via WFE
+ }
+ frames {
+ fr_Wrist_R_COM {
+ translation = (0.000397, -0.002608, -0.023167)
+ rotation = (0.0, 0.0, 0.0)
+ }
+
+ fr_Wrist_R_CTR {
+ translation = (0.0, 0.0, 0.092)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+link Wrist_FE {
+ id = 6
+ inertia_params {
+ mass = 1.5474750
+ CoM = (0.025, 0.0, 0.0)
+ Ix=0.010737 Iy=0.003227 Iz=0.009277 Ixy=-0.000198 Ixz=-0.000015 Iyz=0.000829
+ }
+ children {}
+ frames {
+ fr_ee {
+ translation = (0.03, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_Wrist_FE_COM {
+ translation = (-0.078762, -0.010631, -0.000835)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+r_joint SAA {
+ ref_frame {
+ translation = (0.0, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+}
+
+r_joint SFE {
+ ref_frame {
+ translation = (0.0, 0.0, 0.178)
+ rotation = (PI/2.0, 0.0, 0.0)
+ }
+}
+
+r_joint HR {
+ ref_frame {
+ translation = (0.112, 0.0, 0.0)
+ rotation = (0.0, PI/2.0, 0.0)
+ }
+}
+r_joint EFE {
+ ref_frame {
+ translation = (0.0, 0.0, 0.304)
+ rotation = (0.0, -PI/2.0, 0.0)
+ }
+}
+
+r_joint WR {
+ ref_frame {
+ translation = (0.112, 0.0, 0.0)
+ rotation = (0.0,PI/2.0, 0.0)
+ }
+}
+
+r_joint WFE {
+ ref_frame {
+ translation = (0.02075, 0.0, 0.184)
+ rotation = (-PI/2.0, 0.0, -PI/2.0)
+ }
+}
+
+}
diff --git a/ct_models/include/ct/models/HyQ/HyQ.h b/ct_models/include/ct/models/HyQ/HyQ.h
new file mode 100644
index 0000000..ed8f789
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/HyQ.h
@@ -0,0 +1,73 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <Eigen/Core>
+#include <Eigen/StdVector>
+
+#include "generated/declarations.h"
+#include "generated/forward_dynamics.h"
+#include "generated/inertia_properties.h"
+#include "generated/inverse_dynamics.h"
+#include "generated/jacobians.h"
+#include "generated/jsim.h"
+#include "generated/transforms.h"
+#include "generated/link_data_map.h"
+#include "generated/traits.h"
+
+#include <ct/rbd/rbd.h>
+
+// these will be undefined later, DO NOT USE!
+
+#define ROBCOGEN_NS HyQ // defines the NS of the robot in robcogen, e.g. iit::<ROBCOGEN_NS>
+#define TARGET_NS \
+ HyQ // defines the NS where all robot definitions go. Here ct::models::TestHyQ. This defines ct::models::TestHyQ::Dynamics etc.
+
+// define all links of the robot, names as in robcogen
+#define CT_BASE fr_trunk // base link name
+#define CT_L0 fr_LF_hipassembly
+#define CT_L1 fr_LF_upperleg
+#define CT_L2 fr_LF_lowerleg
+#define CT_L3 fr_RF_hipassembly
+#define CT_L4 fr_RF_upperleg
+#define CT_L5 fr_RF_lowerleg
+#define CT_L6 fr_LH_hipassembly
+#define CT_L7 fr_LH_upperleg
+#define CT_L8 fr_LH_lowerleg
+#define CT_L9 fr_RH_hipassembly
+#define CT_L10 fr_RH_upperleg
+#define CT_L11 fr_RH_lowerleg
+
+// number of endeffectors
+#define CT_N_EE 4
+
+// definition of an end-effector
+#define CT_EE0 fr_LF_foot //name of end-effector. Same as frame in RobCoGen
+#define CT_EE0_IS_ON_LINK 3 // to which link is the end-effector rigidly attached to?
+#define CT_EE0_FIRST_JOINT 0 // which is the first joint in the kinematic chain from base to end-effector?
+#define CT_EE0_LAST_JOINT \
+ 2 // which is the last joint in the kinematic chain? THEY NEED TO BE IN ORDER, NO GAPS ALLOWED!
+
+#define CT_EE1 fr_RF_foot
+#define CT_EE1_IS_ON_LINK 6
+#define CT_EE1_FIRST_JOINT 3
+#define CT_EE1_LAST_JOINT 5
+
+#define CT_EE2 fr_LH_foot
+#define CT_EE2_IS_ON_LINK 9
+#define CT_EE2_FIRST_JOINT 6
+#define CT_EE2_LAST_JOINT 8
+
+#define CT_EE3 fr_RH_foot
+#define CT_EE3_IS_ON_LINK 12
+#define CT_EE3_FIRST_JOINT 9
+#define CT_EE3_LAST_JOINT 11
+
+#include <ct/rbd/robot/robcogen/robcogenHelpers.h>
+
+#include "HyQUrdfNames.h"
+#include "codegen/HyQWithContactModelLinearizedForward.h"
diff --git a/ct_models/include/ct/models/HyQ/HyQUrdfNames.h b/ct_models/include/ct/models/HyQ/HyQUrdfNames.h
new file mode 100644
index 0000000..00788d9
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/HyQUrdfNames.h
@@ -0,0 +1,23 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+static std::vector<std::string> urdfJointNames()
+{
+ std::vector<std::string> urdfJointNames = {"lf_haa_joint", "lf_hfe_joint", "lf_kfe_joint", "rf_haa_joint",
+ "rf_hfe_joint", "rf_kfe_joint", "lh_haa_joint", "lh_hfe_joint", "lh_kfe_joint", "rh_haa_joint", "rh_hfe_joint",
+ "rh_kfe_joint"};
+
+ return urdfJointNames;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.cpp
new file mode 100644
index 0000000..850a6e3
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.cpp
@@ -0,0 +1,9250 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include "HyQBareModelLinearizedForward.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+const HyQBareModelLinearizedForward::state_matrix_t& HyQBareModelLinearizedForward::getDerivativeState(
+ const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdx_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = 0.5 * x_in[0];
+ vX_[1] = cos(vX_[0]);
+ vX_[2] = 0.5 * x_in[1];
+ vX_[3] = cos(vX_[2]);
+ vX_[4] = vX_[1] * vX_[3];
+ vX_[5] = 0.5 * x_in[2];
+ jac[649] = sin(x_in[2]);
+ jac[685] = cos(x_in[2]);
+ vX_[6] = sin(vX_[5]);
+ vX_[7] = sin(vX_[0]);
+ vX_[8] = sin(vX_[2]);
+ vX_[9] = vX_[7] * vX_[8];
+ vX_[10] = cos(vX_[5]);
+ vX_[11] = vX_[4] * vX_[6] + vX_[9] * vX_[10];
+ vX_[12] = 2. * vX_[11];
+ vX_[13] = 0.5 * cos(vX_[0]);
+ vX_[14] = vX_[13] * vX_[3];
+ vX_[0] = -0.5 * sin(vX_[0]);
+ vX_[15] = vX_[0] * vX_[8];
+ vX_[16] = vX_[14] * vX_[10] + vX_[15] * vX_[6];
+ vX_[0] = vX_[0] * vX_[3];
+ vX_[13] = vX_[13] * vX_[8];
+ vX_[17] = vX_[0] * vX_[6] + vX_[13] * vX_[10];
+ vX_[18] = 2. * vX_[17];
+ vX_[3] = vX_[7] * vX_[3];
+ vX_[8] = vX_[1] * vX_[8];
+ vX_[19] = vX_[3] * vX_[10] + vX_[8] * vX_[6];
+ vX_[20] = vX_[12] * vX_[16] + vX_[18] * vX_[19];
+ vX_[21] = vX_[8] * vX_[10] - vX_[3] * vX_[6];
+ vX_[22] = 2. * vX_[21];
+ vX_[13] = vX_[0] * vX_[10] - vX_[13] * vX_[6];
+ vX_[15] = vX_[15] * vX_[10] - vX_[14] * vX_[6];
+ vX_[14] = 2. * vX_[15];
+ vX_[0] = vX_[4] * vX_[10] - vX_[9] * vX_[6];
+ vX_[23] = vX_[22] * vX_[13] + vX_[14] * vX_[0];
+ vX_[24] = vX_[22] * vX_[16] + vX_[14] * vX_[19];
+ vX_[25] = vX_[12] * vX_[13] + vX_[18] * vX_[0];
+ vX_[17] = vX_[12] * vX_[17] + vX_[18] * vX_[11];
+ vX_[14] = vX_[22] * vX_[15] + vX_[14] * vX_[21];
+ jac[3] = (vX_[20] + vX_[23]) * x_in[23] + (vX_[24] - vX_[25]) * x_in[22] + (0 - vX_[17] - vX_[14]) * x_in[21];
+ vX_[15] = vX_[12] * vX_[15] + vX_[18] * vX_[21];
+ vX_[18] = 2. * vX_[19];
+ vX_[26] = 2. * vX_[16];
+ vX_[13] = vX_[18] * vX_[13] + vX_[26] * vX_[0];
+ vX_[26] = vX_[18] * vX_[16] + vX_[26] * vX_[19];
+ jac[4] = (vX_[15] - vX_[13]) * x_in[23] + (0 - vX_[17] - vX_[26]) * x_in[22] + (vX_[24] + vX_[25]) * x_in[21];
+ jac[5] = (0 - vX_[14] - vX_[26]) * x_in[23] + (vX_[15] + vX_[13]) * x_in[22] + (vX_[20] - vX_[23]) * x_in[21];
+ vX_[26] = 0.5 * x_in[0];
+ vX_[13] = cos(vX_[26]);
+ vX_[15] = 0.5 * x_in[1];
+ vX_[14] = cos(vX_[15]);
+ vX_[23] = vX_[13] * vX_[14];
+ vX_[20] = 0.5 * x_in[2];
+ vX_[17] = sin(vX_[20]);
+ vX_[25] = sin(vX_[26]);
+ vX_[24] = sin(vX_[15]);
+ vX_[16] = vX_[25] * vX_[24];
+ vX_[27] = cos(vX_[20]);
+ vX_[28] = 2. * (vX_[23] * vX_[17] + vX_[16] * vX_[27]);
+ vX_[29] = 0.5 * cos(vX_[26]);
+ vX_[30] = vX_[29] * vX_[14];
+ vX_[26] = -0.5 * sin(vX_[26]);
+ vX_[31] = vX_[26] * vX_[24];
+ vX_[32] = vX_[30] * vX_[27] + vX_[31] * vX_[17];
+ vX_[26] = vX_[26] * vX_[14];
+ vX_[29] = vX_[29] * vX_[24];
+ vX_[33] = 2. * (vX_[26] * vX_[17] + vX_[29] * vX_[27]);
+ vX_[14] = vX_[25] * vX_[14];
+ vX_[24] = vX_[13] * vX_[24];
+ vX_[34] = vX_[14] * vX_[27] + vX_[24] * vX_[17];
+ vX_[35] = vX_[24] * vX_[27] - vX_[14] * vX_[17];
+ vX_[36] = 2. * vX_[35];
+ vX_[29] = vX_[26] * vX_[27] - vX_[29] * vX_[17];
+ vX_[31] = vX_[31] * vX_[27] - vX_[30] * vX_[17];
+ vX_[30] = 2. * vX_[31];
+ vX_[26] = vX_[23] * vX_[27] - vX_[16] * vX_[17];
+ jac[21] = -9.81 * (vX_[28] * vX_[32] + vX_[33] * vX_[34] - (vX_[36] * vX_[29] + vX_[30] * vX_[26]));
+ vX_[37] = 2. * vX_[34];
+ vX_[38] = 2. * vX_[32];
+ jac[22] = -9.81 * (vX_[28] * vX_[31] + vX_[33] * vX_[35] + vX_[37] * vX_[29] + vX_[38] * vX_[26]);
+ jac[23] = -9.81 * (0 - (vX_[36] * vX_[31] + vX_[30] * vX_[35]) - (vX_[37] * vX_[32] + vX_[38] * vX_[34]));
+ vX_[38] = cos(x_in[1]);
+ vX_[30] = 1 / vX_[38];
+ vX_[38] = ((- vX_[30]) * -1 * sin(x_in[1])) / vX_[38];
+ jac[648] = vX_[30] * jac[685];
+ vX_[31] = - vX_[38];
+ jac[36] = vX_[38] * jac[685] * x_in[18] + vX_[31] * jac[649] * x_in[19];
+ vX_[32] = vX_[30] * jac[649];
+ vX_[29] = cos(x_in[1]);
+ vX_[33] = sin(x_in[1]);
+ jac[686] = vX_[32] * vX_[33];
+ vX_[39] = 0 - vX_[30];
+ jac[684] = vX_[39] * jac[649];
+ vX_[40] = vX_[39] * jac[685];
+ jac[38] = (vX_[32] * vX_[29] + vX_[38] * jac[649] * vX_[33]) * x_in[19] + (vX_[40] * vX_[29] + vX_[31] * jac[685] * vX_[33]) * x_in[18];
+ jac[650] = vX_[40] * vX_[33];
+ vX_[40] = -0.5 * sin(vX_[2]);
+ vX_[29] = vX_[7] * vX_[40];
+ vX_[2] = 0.5 * cos(vX_[2]);
+ vX_[32] = vX_[1] * vX_[2];
+ vX_[31] = vX_[29] * vX_[10] + vX_[32] * vX_[6];
+ vX_[40] = vX_[1] * vX_[40];
+ vX_[2] = vX_[7] * vX_[2];
+ vX_[7] = vX_[40] * vX_[6] + vX_[2] * vX_[10];
+ vX_[1] = 2. * vX_[7];
+ vX_[38] = vX_[12] * vX_[31] + vX_[1] * vX_[19];
+ vX_[2] = vX_[40] * vX_[10] - vX_[2] * vX_[6];
+ vX_[32] = vX_[32] * vX_[10] - vX_[29] * vX_[6];
+ vX_[29] = 2. * vX_[32];
+ vX_[10] = vX_[22] * vX_[2] + vX_[29] * vX_[0];
+ vX_[6] = vX_[22] * vX_[31] + vX_[29] * vX_[19];
+ vX_[40] = vX_[12] * vX_[2] + vX_[1] * vX_[0];
+ vX_[7] = vX_[12] * vX_[7] + vX_[1] * vX_[11];
+ vX_[29] = vX_[22] * vX_[32] + vX_[29] * vX_[21];
+ jac[39] = (vX_[38] + vX_[10]) * x_in[23] + (vX_[6] - vX_[40]) * x_in[22] + (0 - vX_[7] - vX_[29]) * x_in[21];
+ vX_[32] = vX_[12] * vX_[32] + vX_[1] * vX_[21];
+ vX_[1] = 2. * vX_[31];
+ vX_[2] = vX_[18] * vX_[2] + vX_[1] * vX_[0];
+ vX_[1] = vX_[18] * vX_[31] + vX_[1] * vX_[19];
+ jac[40] = (vX_[32] - vX_[2]) * x_in[23] + (0 - vX_[7] - vX_[1]) * x_in[22] + (vX_[6] + vX_[40]) * x_in[21];
+ jac[41] = (0 - vX_[29] - vX_[1]) * x_in[23] + (vX_[32] + vX_[2]) * x_in[22] + (vX_[38] - vX_[10]) * x_in[21];
+ vX_[1] = -0.5 * sin(vX_[15]);
+ vX_[2] = vX_[25] * vX_[1];
+ vX_[15] = 0.5 * cos(vX_[15]);
+ vX_[32] = vX_[13] * vX_[15];
+ vX_[29] = vX_[2] * vX_[27] + vX_[32] * vX_[17];
+ vX_[1] = vX_[13] * vX_[1];
+ vX_[15] = vX_[25] * vX_[15];
+ vX_[25] = 2. * (vX_[1] * vX_[17] + vX_[15] * vX_[27]);
+ vX_[15] = vX_[1] * vX_[27] - vX_[15] * vX_[17];
+ vX_[32] = vX_[32] * vX_[27] - vX_[2] * vX_[17];
+ vX_[2] = 2. * vX_[32];
+ jac[57] = -9.81 * (vX_[28] * vX_[29] + vX_[25] * vX_[34] - (vX_[36] * vX_[15] + vX_[2] * vX_[26]));
+ vX_[27] = 2. * vX_[29];
+ jac[58] = -9.81 * (vX_[28] * vX_[32] + vX_[25] * vX_[35] + vX_[37] * vX_[15] + vX_[27] * vX_[26]);
+ jac[59] = -9.81 * (0 - (vX_[36] * vX_[32] + vX_[2] * vX_[35]) - (vX_[37] * vX_[29] + vX_[27] * vX_[34]));
+ vX_[27] = -1 * sin(x_in[2]);
+ vX_[2] = cos(x_in[2]);
+ jac[72] = vX_[30] * vX_[27] * x_in[18] + vX_[39] * vX_[2] * x_in[19];
+ jac[73] = vX_[2] * x_in[18] + vX_[27] * x_in[19];
+ jac[74] = vX_[30] * vX_[2] * vX_[33] * x_in[19] + vX_[39] * vX_[27] * vX_[33] * x_in[18];
+ vX_[2] = -0.5 * sin(vX_[5]);
+ vX_[5] = 0.5 * cos(vX_[5]);
+ vX_[27] = vX_[3] * vX_[2] + vX_[8] * vX_[5];
+ vX_[39] = vX_[4] * vX_[5] + vX_[9] * vX_[2];
+ vX_[33] = 2. * vX_[39];
+ vX_[30] = vX_[12] * vX_[27] + vX_[33] * vX_[19];
+ vX_[9] = vX_[4] * vX_[2] - vX_[9] * vX_[5];
+ vX_[5] = vX_[8] * vX_[2] - vX_[3] * vX_[5];
+ vX_[2] = 2. * vX_[5];
+ vX_[8] = vX_[22] * vX_[9] + vX_[2] * vX_[0];
+ vX_[3] = vX_[22] * vX_[27] + vX_[2] * vX_[19];
+ vX_[4] = vX_[12] * vX_[9] + vX_[33] * vX_[0];
+ vX_[39] = vX_[12] * vX_[39] + vX_[33] * vX_[11];
+ vX_[2] = vX_[22] * vX_[5] + vX_[2] * vX_[21];
+ jac[75] = (vX_[30] + vX_[8]) * x_in[23] + (vX_[3] - vX_[4]) * x_in[22] + (0 - vX_[39] - vX_[2]) * x_in[21];
+ vX_[5] = vX_[12] * vX_[5] + vX_[33] * vX_[21];
+ vX_[33] = 2. * vX_[27];
+ vX_[9] = vX_[18] * vX_[9] + vX_[33] * vX_[0];
+ vX_[33] = vX_[18] * vX_[27] + vX_[33] * vX_[19];
+ jac[76] = (vX_[5] - vX_[9]) * x_in[23] + (0 - vX_[39] - vX_[33]) * x_in[22] + (vX_[3] + vX_[4]) * x_in[21];
+ jac[77] = (0 - vX_[2] - vX_[33]) * x_in[23] + (vX_[5] + vX_[9]) * x_in[22] + (vX_[30] - vX_[8]) * x_in[21];
+ vX_[33] = -0.5 * sin(vX_[20]);
+ vX_[20] = 0.5 * cos(vX_[20]);
+ vX_[9] = vX_[14] * vX_[33] + vX_[24] * vX_[20];
+ vX_[5] = 2. * (vX_[23] * vX_[20] + vX_[16] * vX_[33]);
+ vX_[16] = vX_[23] * vX_[33] - vX_[16] * vX_[20];
+ vX_[20] = vX_[24] * vX_[33] - vX_[14] * vX_[20];
+ vX_[33] = 2. * vX_[20];
+ jac[93] = -9.81 * (vX_[28] * vX_[9] + vX_[5] * vX_[34] - (vX_[36] * vX_[16] + vX_[33] * vX_[26]));
+ vX_[24] = 2. * vX_[9];
+ jac[94] = -9.81 * (vX_[28] * vX_[20] + vX_[5] * vX_[35] + vX_[37] * vX_[16] + vX_[24] * vX_[26]);
+ jac[95] = -9.81 * (0 - (vX_[36] * vX_[20] + vX_[33] * vX_[35]) - (vX_[37] * vX_[9] + vX_[24] * vX_[34]));
+ vX_[24] = cos(x_in[15]);
+ vX_[33] = cos(x_in[16]);
+ vX_[20] = cos(x_in[17]);
+ vX_[9] = -8.81e-05 * vX_[20];
+ vX_[37] = sin(x_in[17]);
+ vX_[36] = 0 - vX_[37];
+ vX_[35] = 8.81e-05 * vX_[36];
+ vX_[34] = 0.35 * vX_[37];
+ vX_[16] = 8.81e-05 * vX_[34];
+ vX_[5] = 2. * vX_[16];
+ vX_[26] = -0.35 * vX_[20];
+ vX_[28] = 0 - -8.81e-05 * vX_[26];
+ vX_[14] = 2. * vX_[28];
+ vX_[16] = 0 - vX_[16];
+ vX_[23] = -0.000102 + vX_[5] * vX_[36] + vX_[14] * vX_[20] - vX_[20] * vX_[28] - vX_[37] * vX_[16];
+ vX_[2] = -0.00185880198235362 * vX_[34] - 0.414812462825713 * vX_[26];
+ vX_[8] = 0.881 * vX_[26];
+ vX_[30] = -0.1104774 + vX_[8];
+ vX_[39] = vX_[2] + vX_[30];
+ vX_[4] = 0.880992588508842 * vX_[34] - -0.00185880198235362 * vX_[26];
+ vX_[3] = 0 - 0.881 * vX_[34];
+ vX_[27] = -0.0004405 + vX_[3];
+ vX_[32] = vX_[4] + vX_[27];
+ vX_[30] = 0 - vX_[30];
+ vX_[29] = vX_[20] * vX_[30] + vX_[36] * vX_[27];
+ vX_[15] = 0.47422804 + vX_[39] * vX_[20] + vX_[32] * vX_[37] + vX_[29];
+ vX_[25] = vX_[4] * vX_[34] - vX_[2] * vX_[26];
+ vX_[17] = 0.089871 + vX_[25];
+ vX_[1] = vX_[15] / vX_[17];
+ vX_[13] = vX_[9] * vX_[20] + vX_[35] * vX_[37] - vX_[23] * vX_[1];
+ vX_[10] = sin(x_in[16]);
+ vX_[38] = 0 - vX_[10];
+ vX_[7] = -8.81e-05 * vX_[37];
+ vX_[40] = 8.81e-05 * vX_[20];
+ vX_[6] = 2.1e-05 + vX_[5] * vX_[20] + vX_[14] * vX_[37] + vX_[36] * vX_[28] + vX_[20] * vX_[16];
+ vX_[31] = vX_[7] * vX_[20] + vX_[40] * vX_[37] - vX_[6] * vX_[1];
+ vX_[41] = vX_[33] * vX_[13] + vX_[38] * vX_[31];
+ vX_[42] = vX_[37] * vX_[30] + vX_[20] * vX_[27];
+ vX_[43] = -0.0825825 + vX_[39] * vX_[36] + vX_[32] * vX_[20] - vX_[42];
+ vX_[44] = vX_[43] / vX_[17];
+ vX_[45] = vX_[9] * vX_[36] + vX_[35] * vX_[20] - vX_[23] * vX_[44];
+ vX_[46] = vX_[7] * vX_[36] + vX_[40] * vX_[20] - vX_[6] * vX_[44];
+ vX_[47] = vX_[33] * vX_[45] + vX_[38] * vX_[46];
+ vX_[48] = -0.0004405 * vX_[26] + vX_[3] * vX_[26] - -0.1104774 * vX_[34];
+ vX_[49] = 0.026409 + -0.2209548 * vX_[26] + vX_[8] * vX_[26] - vX_[25];
+ vX_[50] = vX_[37] * vX_[48] + vX_[20] * vX_[49];
+ vX_[51] = 0.000468 - -0.000881 * vX_[34] - vX_[3] * vX_[34] - vX_[25];
+ vX_[52] = vX_[37] * vX_[51] + vX_[20] * vX_[48];
+ vX_[53] = vX_[6] / vX_[17];
+ vX_[54] = -0.007418 + vX_[50] * vX_[36] + vX_[52] * vX_[20] - vX_[23] * vX_[53];
+ vX_[42] = 0.0825825 + vX_[42];
+ vX_[55] = 0 - vX_[33];
+ vX_[56] = 0.08 * vX_[55];
+ vX_[57] = 0.08 * vX_[10];
+ vX_[58] = 0 - 4.027 * vX_[57];
+ vX_[29] = -0.47422804 - vX_[29];
+ vX_[59] = vX_[54] + vX_[42] * vX_[56] + vX_[58] * vX_[56] - vX_[29] * vX_[57];
+ vX_[60] = 2. * vX_[29];
+ vX_[61] = vX_[52] * vX_[37] + vX_[50] * vX_[20];
+ vX_[62] = 0.087136 + vX_[25] + vX_[61] - vX_[6] * vX_[53];
+ vX_[63] = 4.027 * vX_[56];
+ vX_[64] = -7.4114911576828e-06 * vX_[37] + -0.00185880198235362 * vX_[20];
+ vX_[65] = -0.00185880198235362 * vX_[37] + -0.466187537174287 * vX_[20];
+ vX_[66] = vX_[64] * vX_[37] + vX_[65] * vX_[20];
+ vX_[67] = 3.56080505133456 - vX_[66] - vX_[43] * vX_[44];
+ vX_[68] = vX_[65] * vX_[36] + vX_[64] * vX_[20] - vX_[43] * vX_[1];
+ vX_[69] = vX_[57] * vX_[67] - vX_[56] * vX_[68];
+ vX_[66] = 4.027 + vX_[66] - vX_[15] * vX_[1];
+ vX_[70] = vX_[57] * vX_[68] - vX_[56] * vX_[66];
+ vX_[71] = vX_[69] * vX_[57] - vX_[70] * vX_[56];
+ vX_[72] = vX_[60] * vX_[56] + vX_[62] + vX_[63] * vX_[56] - vX_[71];
+ vX_[73] = vX_[38] * vX_[59] + vX_[55] * vX_[72];
+ vX_[74] = vX_[23] / vX_[17];
+ vX_[61] = 0.005495 + vX_[49] + vX_[51] + vX_[25] - vX_[61] - vX_[23] * vX_[74];
+ vX_[25] = 2. * vX_[42];
+ vX_[75] = vX_[61] - vX_[25] * vX_[57] - vX_[58] * vX_[57] - vX_[71];
+ vX_[76] = vX_[38] * vX_[75] + vX_[55] * vX_[59];
+ vX_[77] = -0.022734 + vX_[73] * vX_[38] + vX_[76] * vX_[33];
+ vX_[78] = vX_[38] * vX_[45] + vX_[55] * vX_[46];
+ vX_[79] = vX_[38] * vX_[13] + vX_[55] * vX_[31];
+ vX_[80] = vX_[78] * vX_[33] + vX_[79] * vX_[38];
+ vX_[81] = vX_[76] * vX_[38] + vX_[73] * vX_[55];
+ vX_[82] = 0.011033 + vX_[71] + vX_[81];
+ vX_[83] = vX_[80] / vX_[82];
+ vX_[84] = vX_[41] * vX_[38] + vX_[47] * vX_[33] - vX_[77] * vX_[83];
+ vX_[85] = 0.207 * vX_[24];
+ vX_[86] = sin(x_in[15]);
+ vX_[87] = 0.3735 * vX_[86];
+ vX_[88] = 0 - vX_[24];
+ vX_[89] = -0.3735 * vX_[24];
+ vX_[90] = vX_[86] * vX_[87] + vX_[88] * vX_[89];
+ vX_[91] = vX_[63] + vX_[29];
+ vX_[92] = 0 - vX_[91];
+ vX_[93] = vX_[58] + vX_[42];
+ vX_[94] = vX_[33] * vX_[92] + vX_[38] * vX_[93];
+ vX_[95] = 0.1466472 + vX_[94];
+ vX_[96] = vX_[95] / vX_[82];
+ vX_[97] = 0 - vX_[80] * vX_[96];
+ vX_[98] = vX_[90] * vX_[97];
+ vX_[99] = vX_[66] - 4.027;
+ vX_[100] = vX_[38] * vX_[68] + vX_[55] * vX_[99];
+ vX_[101] = vX_[67] - 4.027;
+ vX_[102] = vX_[38] * vX_[101] + vX_[55] * vX_[68];
+ vX_[103] = vX_[78] * vX_[38] + vX_[79] * vX_[55];
+ vX_[104] = vX_[103] / vX_[82];
+ vX_[105] = vX_[100] * vX_[38] + vX_[102] * vX_[33] - vX_[80] * vX_[104];
+ vX_[106] = vX_[85] * vX_[105];
+ vX_[107] = vX_[98] - vX_[106];
+ vX_[108] = vX_[38] * vX_[92] + vX_[55] * vX_[93];
+ vX_[109] = -0.5824264 - vX_[108] - vX_[77] * vX_[96];
+ vX_[110] = 0.207 * vX_[86];
+ vX_[111] = 7.467 - vX_[95] * vX_[96];
+ vX_[112] = 0 - vX_[95] * vX_[104];
+ vX_[113] = vX_[90] * vX_[111] - vX_[85] * vX_[112];
+ vX_[114] = vX_[84] * vX_[85] + vX_[107] * vX_[85] - vX_[109] * vX_[110] - vX_[113] * vX_[110];
+ vX_[115] = vX_[45] * vX_[57] - vX_[13] * vX_[56];
+ vX_[116] = vX_[46] * vX_[57] - vX_[31] * vX_[56];
+ vX_[117] = 0 - vX_[116];
+ vX_[118] = -5.1e-05 + vX_[38] * vX_[115] + vX_[33] * vX_[117];
+ vX_[119] = 0 - vX_[118] * vX_[96];
+ vX_[120] = vX_[110] * vX_[112];
+ vX_[98] = vX_[120] - vX_[98];
+ vX_[91] = vX_[70] + vX_[91];
+ vX_[121] = vX_[69] + vX_[93];
+ vX_[108] = 0.5824264 + vX_[91] * vX_[38] + vX_[121] * vX_[33] + vX_[108] - vX_[118] * vX_[83];
+ vX_[122] = vX_[102] * vX_[38] + vX_[100] * vX_[55];
+ vX_[123] = 7.467 + vX_[99] + vX_[101] - vX_[122] - vX_[80] * vX_[83];
+ vX_[124] = vX_[110] * vX_[105] - vX_[90] * vX_[123];
+ vX_[125] = vX_[119] * vX_[110] + vX_[98] * vX_[110] - vX_[108] * vX_[85] - vX_[124] * vX_[85];
+ vX_[126] = 0 - vX_[24] * vX_[114] - vX_[86] * vX_[125];
+ vX_[127] = cos(x_in[12]);
+ vX_[128] = 0 - vX_[127];
+ vX_[129] = cos(x_in[13]);
+ vX_[130] = sin(x_in[14]);
+ vX_[131] = 0.35 * vX_[130];
+ vX_[132] = cos(x_in[14]);
+ vX_[133] = -0.35 * vX_[132];
+ vX_[134] = -0.00370574557885489 * vX_[131] - 0.417781802643138 * vX_[133];
+ vX_[135] = 0.881 * vX_[133];
+ vX_[136] = -0.110125 + vX_[135];
+ vX_[137] = vX_[134] + vX_[136];
+ vX_[138] = 0.880970354035369 * vX_[131] - -0.00370574557885489 * vX_[133];
+ vX_[139] = 0 - 0.881 * vX_[131];
+ vX_[140] = -0.000881 + vX_[139];
+ vX_[141] = vX_[138] + vX_[140];
+ vX_[136] = 0 - vX_[136];
+ vX_[142] = 0 - vX_[130];
+ vX_[143] = vX_[132] * vX_[136] + vX_[142] * vX_[140];
+ vX_[144] = 0.47422804 + vX_[137] * vX_[132] + vX_[141] * vX_[130] + vX_[143];
+ vX_[145] = vX_[138] * vX_[131] - vX_[134] * vX_[133];
+ vX_[146] = 0.089871 + vX_[145];
+ vX_[147] = vX_[144] / vX_[146];
+ vX_[148] = 0 - -0.000102 * vX_[147];
+ vX_[149] = sin(x_in[13]);
+ vX_[150] = 0 - vX_[149];
+ vX_[151] = 0 - 2.1e-05 * vX_[147];
+ vX_[152] = vX_[129] * vX_[148] + vX_[150] * vX_[151];
+ vX_[153] = vX_[130] * vX_[136] + vX_[132] * vX_[140];
+ vX_[154] = -0.0825825 + vX_[137] * vX_[142] + vX_[141] * vX_[132] - vX_[153];
+ vX_[155] = vX_[154] / vX_[146];
+ vX_[156] = 0 - -0.000102 * vX_[155];
+ vX_[157] = 0 - 2.1e-05 * vX_[155];
+ vX_[158] = vX_[129] * vX_[156] + vX_[150] * vX_[157];
+ vX_[159] = -0.000881 * vX_[133] + vX_[139] * vX_[133] - -0.110125 * vX_[131];
+ vX_[160] = 0.026409 + -0.22025 * vX_[133] + vX_[135] * vX_[133] - vX_[145];
+ vX_[161] = vX_[130] * vX_[159] + vX_[132] * vX_[160];
+ vX_[162] = 0.000468 - -0.001762 * vX_[131] - vX_[139] * vX_[131] - vX_[145];
+ vX_[163] = vX_[130] * vX_[162] + vX_[132] * vX_[159];
+ vX_[164] = 2.1e-05 / vX_[146];
+ vX_[165] = -0.007418 + vX_[161] * vX_[142] + vX_[163] * vX_[132] - -0.000102 * vX_[164];
+ vX_[153] = 0.0825825 + vX_[153];
+ vX_[166] = -0.08 * vX_[129];
+ vX_[167] = -0.08 * vX_[149];
+ vX_[168] = -1 * vX_[167];
+ vX_[169] = 0 - 4.027 * vX_[168];
+ vX_[143] = -0.47422804 - vX_[143];
+ vX_[170] = vX_[165] + vX_[153] * vX_[166] + vX_[169] * vX_[166] - vX_[143] * vX_[168];
+ vX_[171] = 2. * vX_[143];
+ vX_[172] = vX_[163] * vX_[130] + vX_[161] * vX_[132];
+ vX_[173] = 0.087136 + vX_[145] + vX_[172] - 2.1e-05 * vX_[164];
+ vX_[174] = 4.027 * vX_[166];
+ vX_[175] = -2.96459646308422e-05 * vX_[130] + -0.00370574557885489 * vX_[132];
+ vX_[176] = -0.00370574557885489 * vX_[130] + -0.463218197356862 * vX_[132];
+ vX_[177] = vX_[175] * vX_[130] + vX_[176] * vX_[132];
+ vX_[178] = 3.56375215667851 - vX_[177] - vX_[154] * vX_[155];
+ vX_[179] = vX_[176] * vX_[142] + vX_[175] * vX_[132] - vX_[154] * vX_[147];
+ vX_[180] = vX_[168] * vX_[178] - vX_[166] * vX_[179];
+ vX_[177] = 4.027 + vX_[177] - vX_[144] * vX_[147];
+ vX_[181] = vX_[168] * vX_[179] - vX_[166] * vX_[177];
+ vX_[182] = vX_[180] * vX_[168] - vX_[181] * vX_[166];
+ vX_[183] = vX_[171] * vX_[166] + vX_[173] + vX_[174] * vX_[166] - vX_[182];
+ vX_[184] = vX_[149] * vX_[170] + vX_[129] * vX_[183];
+ vX_[185] = -0.000102 / vX_[146];
+ vX_[172] = 0.005495 + vX_[160] + vX_[162] + vX_[145] - vX_[172] - -0.000102 * vX_[185];
+ vX_[145] = 2. * vX_[153];
+ vX_[186] = vX_[172] - vX_[145] * vX_[168] - vX_[169] * vX_[168] - vX_[182];
+ vX_[187] = vX_[149] * vX_[186] + vX_[129] * vX_[170];
+ vX_[188] = 0.022734 + vX_[184] * vX_[150] + vX_[187] * vX_[129];
+ vX_[189] = vX_[149] * vX_[156] + vX_[129] * vX_[157];
+ vX_[190] = vX_[149] * vX_[148] + vX_[129] * vX_[151];
+ vX_[191] = vX_[189] * vX_[129] + vX_[190] * vX_[150];
+ vX_[192] = vX_[187] * vX_[149] + vX_[184] * vX_[129];
+ vX_[193] = 0.011033 + vX_[182] + vX_[192];
+ vX_[194] = vX_[191] / vX_[193];
+ vX_[195] = vX_[152] * vX_[150] + vX_[158] * vX_[129] - vX_[188] * vX_[194];
+ vX_[196] = -0.207 * vX_[127];
+ vX_[197] = -1 * vX_[196];
+ vX_[198] = sin(x_in[12]);
+ vX_[199] = 0 - vX_[198];
+ vX_[200] = 0.3735 * vX_[198];
+ vX_[201] = 0.3735 * vX_[127];
+ vX_[202] = vX_[199] * vX_[200] + vX_[128] * vX_[201];
+ vX_[203] = vX_[174] + vX_[143];
+ vX_[204] = 0 - vX_[203];
+ vX_[205] = vX_[169] + vX_[153];
+ vX_[206] = vX_[129] * vX_[204] + vX_[150] * vX_[205];
+ vX_[207] = 0.1466472 + vX_[206];
+ vX_[208] = vX_[207] / vX_[193];
+ vX_[209] = 0 - vX_[191] * vX_[208];
+ vX_[210] = vX_[202] * vX_[209];
+ vX_[211] = vX_[177] - 4.027;
+ vX_[212] = vX_[149] * vX_[179] + vX_[129] * vX_[211];
+ vX_[213] = vX_[178] - 4.027;
+ vX_[214] = vX_[149] * vX_[213] + vX_[129] * vX_[179];
+ vX_[215] = vX_[189] * vX_[149] + vX_[190] * vX_[129];
+ vX_[216] = vX_[215] / vX_[193];
+ vX_[217] = vX_[212] * vX_[150] + vX_[214] * vX_[129] - vX_[191] * vX_[216];
+ vX_[218] = vX_[197] * vX_[217];
+ vX_[219] = vX_[210] - vX_[218];
+ vX_[220] = vX_[149] * vX_[204] + vX_[129] * vX_[205];
+ vX_[221] = 0.5824264 - vX_[220] - vX_[188] * vX_[208];
+ vX_[222] = 0.207 * vX_[198];
+ vX_[223] = 7.467 - vX_[207] * vX_[208];
+ vX_[224] = 0 - vX_[207] * vX_[216];
+ vX_[225] = vX_[202] * vX_[223] - vX_[197] * vX_[224];
+ vX_[226] = vX_[195] * vX_[197] + vX_[219] * vX_[197] - vX_[221] * vX_[222] - vX_[225] * vX_[222];
+ vX_[227] = vX_[156] * vX_[168] - vX_[148] * vX_[166];
+ vX_[228] = vX_[157] * vX_[168] - vX_[151] * vX_[166];
+ vX_[229] = 0 - vX_[228];
+ vX_[230] = -5.1e-05 + vX_[150] * vX_[227] + vX_[129] * vX_[229];
+ vX_[231] = 0 - vX_[230] * vX_[208];
+ vX_[232] = vX_[222] * vX_[224];
+ vX_[210] = vX_[232] - vX_[210];
+ vX_[203] = -1 * (vX_[181] + vX_[203]);
+ vX_[233] = -1 * (vX_[180] + vX_[205]);
+ vX_[220] = -0.5824264 + vX_[203] * vX_[150] + vX_[233] * vX_[129] + vX_[220] - vX_[230] * vX_[194];
+ vX_[234] = vX_[214] * vX_[149] + vX_[212] * vX_[129];
+ vX_[235] = 7.467 + vX_[211] + vX_[213] - vX_[234] - vX_[191] * vX_[194];
+ vX_[236] = vX_[222] * vX_[217] - vX_[202] * vX_[235];
+ vX_[237] = vX_[231] * vX_[222] + vX_[210] * vX_[222] - vX_[220] * vX_[197] - vX_[236] * vX_[197];
+ vX_[238] = 0 - vX_[128] * vX_[226] - vX_[199] * vX_[237];
+ vX_[239] = cos(x_in[9]);
+ vX_[240] = cos(x_in[10]);
+ vX_[241] = cos(x_in[11]);
+ vX_[242] = 8.81e-05 * vX_[241];
+ vX_[243] = sin(x_in[11]);
+ vX_[244] = 0 - vX_[243];
+ vX_[245] = -8.81e-05 * vX_[244];
+ vX_[246] = 0.35 * vX_[243];
+ vX_[247] = -8.81e-05 * vX_[246];
+ vX_[248] = 2. * vX_[247];
+ vX_[249] = -0.35 * vX_[241];
+ vX_[250] = 0 - 8.81e-05 * vX_[249];
+ vX_[251] = 2. * vX_[250];
+ vX_[247] = 0 - vX_[247];
+ vX_[252] = 0.000102 + vX_[248] * vX_[244] + vX_[251] * vX_[241] - vX_[241] * vX_[250] - vX_[243] * vX_[247];
+ vX_[253] = 0.00185880198235362 * vX_[246] - 0.414812462825713 * vX_[249];
+ vX_[254] = 0.881 * vX_[249];
+ vX_[255] = -0.1104774 + vX_[254];
+ vX_[256] = vX_[253] + vX_[255];
+ vX_[257] = 0.880992588508842 * vX_[246] - 0.00185880198235362 * vX_[249];
+ vX_[258] = 0 - 0.881 * vX_[246];
+ vX_[259] = 0.0004405 + vX_[258];
+ vX_[260] = vX_[257] + vX_[259];
+ vX_[255] = 0 - vX_[255];
+ vX_[261] = vX_[241] * vX_[255] + vX_[244] * vX_[259];
+ vX_[262] = 0.47422804 + vX_[256] * vX_[241] + vX_[260] * vX_[243] + vX_[261];
+ vX_[263] = vX_[257] * vX_[246] - vX_[253] * vX_[249];
+ vX_[264] = 0.089871 + vX_[263];
+ vX_[265] = vX_[262] / vX_[264];
+ vX_[266] = vX_[242] * vX_[241] + vX_[245] * vX_[243] - vX_[252] * vX_[265];
+ vX_[267] = sin(x_in[10]);
+ vX_[268] = 0 - vX_[267];
+ vX_[269] = 8.81e-05 * vX_[243];
+ vX_[270] = -8.81e-05 * vX_[241];
+ vX_[271] = 2.1e-05 + vX_[248] * vX_[241] + vX_[251] * vX_[243] + vX_[244] * vX_[250] + vX_[241] * vX_[247];
+ vX_[272] = vX_[269] * vX_[241] + vX_[270] * vX_[243] - vX_[271] * vX_[265];
+ vX_[273] = vX_[240] * vX_[266] + vX_[268] * vX_[272];
+ vX_[274] = vX_[243] * vX_[255] + vX_[241] * vX_[259];
+ vX_[275] = 0.0825825 + vX_[256] * vX_[244] + vX_[260] * vX_[241] - vX_[274];
+ vX_[276] = vX_[275] / vX_[264];
+ vX_[277] = vX_[242] * vX_[244] + vX_[245] * vX_[241] - vX_[252] * vX_[276];
+ vX_[278] = vX_[269] * vX_[244] + vX_[270] * vX_[241] - vX_[271] * vX_[276];
+ vX_[279] = vX_[240] * vX_[277] + vX_[268] * vX_[278];
+ vX_[280] = 0.0004405 * vX_[249] + vX_[258] * vX_[249] - -0.1104774 * vX_[246];
+ vX_[281] = 0.026409 + -0.2209548 * vX_[249] + vX_[254] * vX_[249] - vX_[263];
+ vX_[282] = vX_[243] * vX_[280] + vX_[241] * vX_[281];
+ vX_[283] = 0.000468 - 0.000881 * vX_[246] - vX_[258] * vX_[246] - vX_[263];
+ vX_[284] = vX_[243] * vX_[283] + vX_[241] * vX_[280];
+ vX_[285] = vX_[271] / vX_[264];
+ vX_[286] = 0.007418 + vX_[282] * vX_[244] + vX_[284] * vX_[241] - vX_[252] * vX_[285];
+ vX_[274] = -0.0825825 + vX_[274];
+ vX_[287] = 0 - vX_[240];
+ vX_[288] = 0.08 * vX_[287];
+ vX_[289] = 0.08 * vX_[267];
+ vX_[290] = 0 - 4.027 * vX_[289];
+ vX_[261] = -0.47422804 - vX_[261];
+ vX_[291] = vX_[286] + vX_[274] * vX_[288] + vX_[290] * vX_[288] - vX_[261] * vX_[289];
+ vX_[292] = 2. * vX_[261];
+ vX_[293] = vX_[284] * vX_[243] + vX_[282] * vX_[241];
+ vX_[294] = 0.087136 + vX_[263] + vX_[293] - vX_[271] * vX_[285];
+ vX_[295] = 4.027 * vX_[288];
+ vX_[296] = -7.4114911576828e-06 * vX_[243] + 0.00185880198235362 * vX_[241];
+ vX_[297] = 0.00185880198235362 * vX_[243] + -0.466187537174287 * vX_[241];
+ vX_[298] = vX_[296] * vX_[243] + vX_[297] * vX_[241];
+ vX_[299] = 3.56080505133456 - vX_[298] - vX_[275] * vX_[276];
+ vX_[300] = vX_[297] * vX_[244] + vX_[296] * vX_[241] - vX_[275] * vX_[265];
+ vX_[301] = vX_[289] * vX_[299] - vX_[288] * vX_[300];
+ vX_[298] = 4.027 + vX_[298] - vX_[262] * vX_[265];
+ vX_[302] = vX_[289] * vX_[300] - vX_[288] * vX_[298];
+ vX_[303] = vX_[301] * vX_[289] - vX_[302] * vX_[288];
+ vX_[304] = vX_[292] * vX_[288] + vX_[294] + vX_[295] * vX_[288] - vX_[303];
+ vX_[305] = vX_[268] * vX_[291] + vX_[287] * vX_[304];
+ vX_[306] = vX_[252] / vX_[264];
+ vX_[293] = 0.005495 + vX_[281] + vX_[283] + vX_[263] - vX_[293] - vX_[252] * vX_[306];
+ vX_[263] = 2. * vX_[274];
+ vX_[307] = vX_[293] - vX_[263] * vX_[289] - vX_[290] * vX_[289] - vX_[303];
+ vX_[308] = vX_[268] * vX_[307] + vX_[287] * vX_[291];
+ vX_[309] = 0.022734 + vX_[305] * vX_[268] + vX_[308] * vX_[240];
+ vX_[310] = vX_[268] * vX_[277] + vX_[287] * vX_[278];
+ vX_[311] = vX_[268] * vX_[266] + vX_[287] * vX_[272];
+ vX_[312] = vX_[310] * vX_[240] + vX_[311] * vX_[268];
+ vX_[313] = vX_[308] * vX_[268] + vX_[305] * vX_[287];
+ vX_[314] = 0.011033 + vX_[303] + vX_[313];
+ vX_[315] = vX_[312] / vX_[314];
+ vX_[316] = vX_[273] * vX_[268] + vX_[279] * vX_[240] - vX_[309] * vX_[315];
+ vX_[317] = 0.207 * vX_[239];
+ vX_[318] = sin(x_in[9]);
+ vX_[319] = -0.3735 * vX_[318];
+ vX_[320] = 0 - vX_[239];
+ vX_[321] = 0.3735 * vX_[239];
+ vX_[322] = vX_[318] * vX_[319] + vX_[320] * vX_[321];
+ vX_[323] = vX_[295] + vX_[261];
+ vX_[324] = 0 - vX_[323];
+ vX_[325] = vX_[290] + vX_[274];
+ vX_[326] = vX_[240] * vX_[324] + vX_[268] * vX_[325];
+ vX_[327] = 0.1466472 + vX_[326];
+ vX_[328] = vX_[327] / vX_[314];
+ vX_[329] = 0 - vX_[312] * vX_[328];
+ vX_[330] = vX_[322] * vX_[329];
+ vX_[331] = vX_[298] - 4.027;
+ vX_[332] = vX_[268] * vX_[300] + vX_[287] * vX_[331];
+ vX_[333] = vX_[299] - 4.027;
+ vX_[334] = vX_[268] * vX_[333] + vX_[287] * vX_[300];
+ vX_[335] = vX_[310] * vX_[268] + vX_[311] * vX_[287];
+ vX_[336] = vX_[335] / vX_[314];
+ vX_[337] = vX_[332] * vX_[268] + vX_[334] * vX_[240] - vX_[312] * vX_[336];
+ vX_[338] = vX_[317] * vX_[337];
+ vX_[339] = vX_[330] - vX_[338];
+ vX_[340] = vX_[268] * vX_[324] + vX_[287] * vX_[325];
+ vX_[341] = 0.5824264 - vX_[340] - vX_[309] * vX_[328];
+ vX_[342] = 0.207 * vX_[318];
+ vX_[343] = 7.467 - vX_[327] * vX_[328];
+ vX_[344] = 0 - vX_[327] * vX_[336];
+ vX_[345] = vX_[322] * vX_[343] - vX_[317] * vX_[344];
+ vX_[346] = vX_[316] * vX_[317] + vX_[339] * vX_[317] - vX_[341] * vX_[342] - vX_[345] * vX_[342];
+ vX_[347] = vX_[277] * vX_[289] - vX_[266] * vX_[288];
+ vX_[348] = vX_[278] * vX_[289] - vX_[272] * vX_[288];
+ vX_[349] = 0 - vX_[348];
+ vX_[350] = -5.1e-05 + vX_[268] * vX_[347] + vX_[240] * vX_[349];
+ vX_[351] = 0 - vX_[350] * vX_[328];
+ vX_[352] = vX_[342] * vX_[344];
+ vX_[330] = vX_[352] - vX_[330];
+ vX_[323] = vX_[302] + vX_[323];
+ vX_[353] = vX_[301] + vX_[325];
+ vX_[340] = -0.5824264 + vX_[323] * vX_[268] + vX_[353] * vX_[240] + vX_[340] - vX_[350] * vX_[315];
+ vX_[354] = vX_[334] * vX_[268] + vX_[332] * vX_[287];
+ vX_[355] = 7.467 + vX_[331] + vX_[333] - vX_[354] - vX_[312] * vX_[315];
+ vX_[356] = vX_[342] * vX_[337] - vX_[322] * vX_[355];
+ vX_[357] = vX_[351] * vX_[342] + vX_[330] * vX_[342] - vX_[340] * vX_[317] - vX_[356] * vX_[317];
+ vX_[358] = 0 - vX_[239] * vX_[346] - vX_[318] * vX_[357];
+ vX_[359] = cos(x_in[6]);
+ vX_[360] = 0 - vX_[359];
+ vX_[361] = cos(x_in[7]);
+ vX_[362] = cos(x_in[8]);
+ vX_[363] = 8.81e-05 * vX_[362];
+ vX_[364] = sin(x_in[8]);
+ vX_[365] = 0 - vX_[364];
+ vX_[366] = -8.81e-05 * vX_[365];
+ vX_[367] = 0.35 * vX_[364];
+ vX_[368] = -8.81e-05 * vX_[367];
+ vX_[369] = 2. * vX_[368];
+ vX_[370] = -0.35 * vX_[362];
+ vX_[371] = 0 - 8.81e-05 * vX_[370];
+ vX_[372] = 2. * vX_[371];
+ vX_[368] = 0 - vX_[368];
+ vX_[373] = 0.000102 + vX_[369] * vX_[365] + vX_[372] * vX_[362] - vX_[362] * vX_[371] - vX_[364] * vX_[368];
+ vX_[374] = 0.00185880198235362 * vX_[367] - 0.414812462825713 * vX_[370];
+ vX_[375] = 0.881 * vX_[370];
+ vX_[376] = -0.1104774 + vX_[375];
+ vX_[377] = vX_[374] + vX_[376];
+ vX_[378] = 0.880992588508842 * vX_[367] - 0.00185880198235362 * vX_[370];
+ vX_[379] = 0 - 0.881 * vX_[367];
+ vX_[380] = 0.0004405 + vX_[379];
+ vX_[381] = vX_[378] + vX_[380];
+ vX_[376] = 0 - vX_[376];
+ vX_[382] = vX_[362] * vX_[376] + vX_[365] * vX_[380];
+ vX_[383] = 0.47422804 + vX_[377] * vX_[362] + vX_[381] * vX_[364] + vX_[382];
+ vX_[384] = vX_[378] * vX_[367] - vX_[374] * vX_[370];
+ vX_[385] = 0.089871 + vX_[384];
+ vX_[386] = vX_[383] / vX_[385];
+ vX_[387] = vX_[363] * vX_[362] + vX_[366] * vX_[364] - vX_[373] * vX_[386];
+ vX_[388] = sin(x_in[7]);
+ vX_[389] = 0 - vX_[388];
+ vX_[390] = 8.81e-05 * vX_[364];
+ vX_[391] = -8.81e-05 * vX_[362];
+ vX_[392] = 2.1e-05 + vX_[369] * vX_[362] + vX_[372] * vX_[364] + vX_[365] * vX_[371] + vX_[362] * vX_[368];
+ vX_[393] = vX_[390] * vX_[362] + vX_[391] * vX_[364] - vX_[392] * vX_[386];
+ vX_[394] = vX_[361] * vX_[387] + vX_[389] * vX_[393];
+ vX_[395] = vX_[364] * vX_[376] + vX_[362] * vX_[380];
+ vX_[396] = 0.0825825 + vX_[377] * vX_[365] + vX_[381] * vX_[362] - vX_[395];
+ vX_[397] = vX_[396] / vX_[385];
+ vX_[398] = vX_[363] * vX_[365] + vX_[366] * vX_[362] - vX_[373] * vX_[397];
+ vX_[399] = vX_[390] * vX_[365] + vX_[391] * vX_[362] - vX_[392] * vX_[397];
+ vX_[400] = vX_[361] * vX_[398] + vX_[389] * vX_[399];
+ vX_[401] = 0.0004405 * vX_[370] + vX_[379] * vX_[370] - -0.1104774 * vX_[367];
+ vX_[402] = 0.026409 + -0.2209548 * vX_[370] + vX_[375] * vX_[370] - vX_[384];
+ vX_[403] = vX_[364] * vX_[401] + vX_[362] * vX_[402];
+ vX_[404] = 0.000468 - 0.000881 * vX_[367] - vX_[379] * vX_[367] - vX_[384];
+ vX_[405] = vX_[364] * vX_[404] + vX_[362] * vX_[401];
+ vX_[406] = vX_[392] / vX_[385];
+ vX_[407] = 0.007418 + vX_[403] * vX_[365] + vX_[405] * vX_[362] - vX_[373] * vX_[406];
+ vX_[395] = -0.0825825 + vX_[395];
+ vX_[408] = -0.08 * vX_[361];
+ vX_[409] = -0.08 * vX_[388];
+ vX_[410] = -1 * vX_[409];
+ vX_[411] = 0 - 4.027 * vX_[410];
+ vX_[382] = -0.47422804 - vX_[382];
+ vX_[412] = vX_[407] + vX_[395] * vX_[408] + vX_[411] * vX_[408] - vX_[382] * vX_[410];
+ vX_[413] = 2. * vX_[382];
+ vX_[414] = vX_[405] * vX_[364] + vX_[403] * vX_[362];
+ vX_[415] = 0.087136 + vX_[384] + vX_[414] - vX_[392] * vX_[406];
+ vX_[416] = 4.027 * vX_[408];
+ vX_[417] = -7.4114911576828e-06 * vX_[364] + 0.00185880198235362 * vX_[362];
+ vX_[418] = 0.00185880198235362 * vX_[364] + -0.466187537174287 * vX_[362];
+ vX_[419] = vX_[417] * vX_[364] + vX_[418] * vX_[362];
+ vX_[420] = 3.56080505133456 - vX_[419] - vX_[396] * vX_[397];
+ vX_[421] = vX_[418] * vX_[365] + vX_[417] * vX_[362] - vX_[396] * vX_[386];
+ vX_[422] = vX_[410] * vX_[420] - vX_[408] * vX_[421];
+ vX_[419] = 4.027 + vX_[419] - vX_[383] * vX_[386];
+ vX_[423] = vX_[410] * vX_[421] - vX_[408] * vX_[419];
+ vX_[424] = vX_[422] * vX_[410] - vX_[423] * vX_[408];
+ vX_[425] = vX_[413] * vX_[408] + vX_[415] + vX_[416] * vX_[408] - vX_[424];
+ vX_[426] = vX_[388] * vX_[412] + vX_[361] * vX_[425];
+ vX_[427] = vX_[373] / vX_[385];
+ vX_[414] = 0.005495 + vX_[402] + vX_[404] + vX_[384] - vX_[414] - vX_[373] * vX_[427];
+ vX_[384] = 2. * vX_[395];
+ vX_[428] = vX_[414] - vX_[384] * vX_[410] - vX_[411] * vX_[410] - vX_[424];
+ vX_[429] = vX_[388] * vX_[428] + vX_[361] * vX_[412];
+ vX_[430] = -0.022734 + vX_[426] * vX_[389] + vX_[429] * vX_[361];
+ vX_[431] = vX_[388] * vX_[398] + vX_[361] * vX_[399];
+ vX_[432] = vX_[388] * vX_[387] + vX_[361] * vX_[393];
+ vX_[433] = vX_[431] * vX_[361] + vX_[432] * vX_[389];
+ vX_[434] = vX_[429] * vX_[388] + vX_[426] * vX_[361];
+ vX_[435] = 0.011033 + vX_[424] + vX_[434];
+ vX_[436] = vX_[433] / vX_[435];
+ vX_[437] = vX_[394] * vX_[389] + vX_[400] * vX_[361] - vX_[430] * vX_[436];
+ vX_[438] = -0.207 * vX_[359];
+ vX_[439] = -1 * vX_[438];
+ vX_[440] = sin(x_in[6]);
+ vX_[441] = 0 - vX_[440];
+ vX_[442] = -0.3735 * vX_[440];
+ vX_[443] = -0.3735 * vX_[359];
+ vX_[444] = vX_[441] * vX_[442] + vX_[360] * vX_[443];
+ vX_[445] = vX_[416] + vX_[382];
+ vX_[446] = 0 - vX_[445];
+ vX_[447] = vX_[411] + vX_[395];
+ vX_[448] = vX_[361] * vX_[446] + vX_[389] * vX_[447];
+ vX_[449] = 0.1466472 + vX_[448];
+ vX_[450] = vX_[449] / vX_[435];
+ vX_[451] = 0 - vX_[433] * vX_[450];
+ vX_[452] = vX_[444] * vX_[451];
+ vX_[453] = vX_[419] - 4.027;
+ vX_[454] = vX_[388] * vX_[421] + vX_[361] * vX_[453];
+ vX_[455] = vX_[420] - 4.027;
+ vX_[456] = vX_[388] * vX_[455] + vX_[361] * vX_[421];
+ vX_[457] = vX_[431] * vX_[388] + vX_[432] * vX_[361];
+ vX_[458] = vX_[457] / vX_[435];
+ vX_[459] = vX_[454] * vX_[389] + vX_[456] * vX_[361] - vX_[433] * vX_[458];
+ vX_[460] = vX_[439] * vX_[459];
+ vX_[461] = vX_[452] - vX_[460];
+ vX_[462] = vX_[388] * vX_[446] + vX_[361] * vX_[447];
+ vX_[463] = -0.5824264 - vX_[462] - vX_[430] * vX_[450];
+ vX_[464] = 0.207 * vX_[440];
+ vX_[465] = 7.467 - vX_[449] * vX_[450];
+ vX_[466] = 0 - vX_[449] * vX_[458];
+ vX_[467] = vX_[444] * vX_[465] - vX_[439] * vX_[466];
+ vX_[468] = vX_[437] * vX_[439] + vX_[461] * vX_[439] - vX_[463] * vX_[464] - vX_[467] * vX_[464];
+ vX_[469] = vX_[398] * vX_[410] - vX_[387] * vX_[408];
+ vX_[470] = vX_[399] * vX_[410] - vX_[393] * vX_[408];
+ vX_[471] = 0 - vX_[470];
+ vX_[472] = -5.1e-05 + vX_[389] * vX_[469] + vX_[361] * vX_[471];
+ vX_[473] = 0 - vX_[472] * vX_[450];
+ vX_[474] = vX_[464] * vX_[466];
+ vX_[452] = vX_[474] - vX_[452];
+ vX_[445] = -1 * (vX_[423] + vX_[445]);
+ vX_[475] = -1 * (vX_[422] + vX_[447]);
+ vX_[462] = 0.5824264 + vX_[445] * vX_[389] + vX_[475] * vX_[361] + vX_[462] - vX_[472] * vX_[436];
+ vX_[476] = vX_[456] * vX_[388] + vX_[454] * vX_[361];
+ vX_[477] = 7.467 + vX_[453] + vX_[455] - vX_[476] - vX_[433] * vX_[436];
+ vX_[478] = vX_[464] * vX_[459] - vX_[444] * vX_[477];
+ vX_[479] = vX_[473] * vX_[464] + vX_[452] * vX_[464] - vX_[462] * vX_[439] - vX_[478] * vX_[439];
+ vX_[480] = 0 - vX_[360] * vX_[468] - vX_[441] * vX_[479];
+ vX_[94] = -0.1466472 + vX_[91] * vX_[55] + vX_[121] * vX_[38] - vX_[94] - vX_[118] * vX_[104];
+ vX_[481] = 2. * vX_[94];
+ vX_[482] = vX_[118] / vX_[82];
+ vX_[483] = 0.144171 + vX_[71] - vX_[118] * vX_[482];
+ vX_[122] = 7.467 + vX_[122] - vX_[103] * vX_[104];
+ vX_[484] = vX_[110] * vX_[122] - vX_[90] * vX_[105];
+ vX_[485] = 2. * vX_[108];
+ vX_[486] = vX_[85] * vX_[123] - vX_[110] * vX_[97];
+ vX_[487] = vX_[85] * vX_[97] - vX_[110] * vX_[111];
+ vX_[488] = vX_[486] * vX_[85] - vX_[487] * vX_[110];
+ vX_[489] = vX_[481] * vX_[110] + vX_[483] + vX_[484] * vX_[110] - vX_[485] * vX_[90] - vX_[124] * vX_[90] - vX_[488];
+ vX_[490] = 2. * vX_[109];
+ vX_[491] = vX_[77] / vX_[82];
+ vX_[81] = 0.134705 + vX_[72] + vX_[75] + vX_[71] - vX_[81] - vX_[77] * vX_[491];
+ vX_[71] = vX_[41] * vX_[55] + vX_[47] * vX_[38] - vX_[77] * vX_[104];
+ vX_[492] = 2. * vX_[71];
+ vX_[493] = vX_[90] * vX_[112] - vX_[85] * vX_[122];
+ vX_[494] = vX_[490] * vX_[90] + vX_[81] + vX_[113] * vX_[90] - vX_[492] * vX_[85] - vX_[493] * vX_[85] - vX_[488];
+ vX_[206] = -0.1466472 + vX_[203] * vX_[129] + vX_[233] * vX_[149] - vX_[206] - vX_[230] * vX_[216];
+ vX_[495] = 2. * vX_[206];
+ vX_[496] = vX_[230] / vX_[193];
+ vX_[497] = 0.144171 + vX_[182] - vX_[230] * vX_[496];
+ vX_[234] = 7.467 + vX_[234] - vX_[215] * vX_[216];
+ vX_[498] = vX_[222] * vX_[234] - vX_[202] * vX_[217];
+ vX_[499] = 2. * vX_[220];
+ vX_[500] = vX_[197] * vX_[235] - vX_[222] * vX_[209];
+ vX_[501] = vX_[197] * vX_[209] - vX_[222] * vX_[223];
+ vX_[502] = vX_[500] * vX_[197] - vX_[501] * vX_[222];
+ vX_[503] = vX_[495] * vX_[222] + vX_[497] + vX_[498] * vX_[222] - vX_[499] * vX_[202] - vX_[236] * vX_[202] - vX_[502];
+ vX_[504] = 2. * vX_[221];
+ vX_[505] = vX_[188] / vX_[193];
+ vX_[192] = 0.134705 + vX_[183] + vX_[186] + vX_[182] - vX_[192] - vX_[188] * vX_[505];
+ vX_[182] = vX_[152] * vX_[129] + vX_[158] * vX_[149] - vX_[188] * vX_[216];
+ vX_[506] = 2. * vX_[182];
+ vX_[507] = vX_[202] * vX_[224] - vX_[197] * vX_[234];
+ vX_[508] = vX_[504] * vX_[202] + vX_[192] + vX_[225] * vX_[202] - vX_[506] * vX_[197] - vX_[507] * vX_[197] - vX_[502];
+ vX_[326] = -0.1466472 + vX_[323] * vX_[287] + vX_[353] * vX_[268] - vX_[326] - vX_[350] * vX_[336];
+ vX_[509] = 2. * vX_[326];
+ vX_[510] = vX_[350] / vX_[314];
+ vX_[511] = 0.144171 + vX_[303] - vX_[350] * vX_[510];
+ vX_[354] = 7.467 + vX_[354] - vX_[335] * vX_[336];
+ vX_[512] = vX_[342] * vX_[354] - vX_[322] * vX_[337];
+ vX_[513] = 2. * vX_[340];
+ vX_[514] = vX_[317] * vX_[355] - vX_[342] * vX_[329];
+ vX_[515] = vX_[317] * vX_[329] - vX_[342] * vX_[343];
+ vX_[516] = vX_[514] * vX_[317] - vX_[515] * vX_[342];
+ vX_[517] = vX_[509] * vX_[342] + vX_[511] + vX_[512] * vX_[342] - vX_[513] * vX_[322] - vX_[356] * vX_[322] - vX_[516];
+ vX_[518] = 2. * vX_[341];
+ vX_[519] = vX_[309] / vX_[314];
+ vX_[313] = 0.134705 + vX_[304] + vX_[307] + vX_[303] - vX_[313] - vX_[309] * vX_[519];
+ vX_[303] = vX_[273] * vX_[287] + vX_[279] * vX_[268] - vX_[309] * vX_[336];
+ vX_[520] = 2. * vX_[303];
+ vX_[521] = vX_[322] * vX_[344] - vX_[317] * vX_[354];
+ vX_[522] = vX_[518] * vX_[322] + vX_[313] + vX_[345] * vX_[322] - vX_[520] * vX_[317] - vX_[521] * vX_[317] - vX_[516];
+ vX_[448] = -0.1466472 + vX_[445] * vX_[361] + vX_[475] * vX_[388] - vX_[448] - vX_[472] * vX_[458];
+ vX_[523] = 2. * vX_[448];
+ vX_[524] = vX_[472] / vX_[435];
+ vX_[525] = 0.144171 + vX_[424] - vX_[472] * vX_[524];
+ vX_[476] = 7.467 + vX_[476] - vX_[457] * vX_[458];
+ vX_[526] = vX_[464] * vX_[476] - vX_[444] * vX_[459];
+ vX_[527] = 2. * vX_[462];
+ vX_[528] = vX_[439] * vX_[477] - vX_[464] * vX_[451];
+ vX_[529] = vX_[439] * vX_[451] - vX_[464] * vX_[465];
+ vX_[530] = vX_[528] * vX_[439] - vX_[529] * vX_[464];
+ vX_[531] = vX_[523] * vX_[464] + vX_[525] + vX_[526] * vX_[464] - vX_[527] * vX_[444] - vX_[478] * vX_[444] - vX_[530];
+ vX_[532] = 2. * vX_[463];
+ vX_[533] = vX_[430] / vX_[435];
+ vX_[434] = 0.134705 + vX_[425] + vX_[428] + vX_[424] - vX_[434] - vX_[430] * vX_[533];
+ vX_[424] = vX_[394] * vX_[361] + vX_[400] * vX_[388] - vX_[430] * vX_[458];
+ vX_[534] = 2. * vX_[424];
+ vX_[535] = vX_[444] * vX_[466] - vX_[439] * vX_[476];
+ vX_[536] = vX_[532] * vX_[444] + vX_[434] + vX_[467] * vX_[444] - vX_[534] * vX_[439] - vX_[535] * vX_[439] - vX_[530];
+ vX_[116] = 2. * vX_[116];
+ vX_[537] = 2. * vX_[115];
+ vX_[538] = -3.6e-05 + vX_[116] * vX_[38] + vX_[537] * vX_[33] + vX_[55] * vX_[115] + vX_[38] * vX_[117] - vX_[77] * vX_[482];
+ vX_[539] = vX_[119] * vX_[90] + vX_[538] + vX_[71] * vX_[110] + vX_[493] * vX_[110] - vX_[84] * vX_[90] - vX_[94] * vX_[85] - vX_[107] * vX_[90];
+ vX_[540] = vX_[86] * vX_[494] + vX_[24] * vX_[539];
+ vX_[541] = vX_[86] * vX_[539];
+ vX_[542] = vX_[541] + vX_[24] * vX_[489];
+ vX_[543] = vX_[540] * vX_[86] + vX_[542] * vX_[24];
+ vX_[541] = vX_[88] * vX_[494] + vX_[541];
+ vX_[544] = vX_[88] * vX_[539] + vX_[86] * vX_[489];
+ vX_[545] = vX_[541] * vX_[88] + vX_[544] * vX_[86];
+ vX_[228] = -1 * 2. * vX_[228];
+ vX_[546] = -1 * 2. * vX_[227];
+ vX_[547] = 3.6e-05 + vX_[228] * vX_[150] + vX_[546] * vX_[129] + vX_[129] * vX_[227] + vX_[149] * vX_[229] - vX_[188] * vX_[496];
+ vX_[548] = vX_[231] * vX_[202] + vX_[547] + vX_[182] * vX_[222] + vX_[507] * vX_[222] - vX_[195] * vX_[202] - vX_[206] * vX_[197] - vX_[219] * vX_[202];
+ vX_[549] = vX_[128] * vX_[548];
+ vX_[550] = vX_[199] * vX_[508] + vX_[549];
+ vX_[551] = vX_[199] * vX_[548] + vX_[128] * vX_[503];
+ vX_[552] = vX_[550] * vX_[199] + vX_[551] * vX_[128];
+ vX_[553] = vX_[128] * vX_[508] + vX_[198] * vX_[548];
+ vX_[549] = vX_[549] + vX_[198] * vX_[503];
+ vX_[554] = vX_[553] * vX_[128] + vX_[549] * vX_[198];
+ vX_[348] = 2. * vX_[348];
+ vX_[555] = 2. * vX_[347];
+ vX_[556] = 3.6e-05 + vX_[348] * vX_[268] + vX_[555] * vX_[240] + vX_[287] * vX_[347] + vX_[268] * vX_[349] - vX_[309] * vX_[510];
+ vX_[557] = vX_[351] * vX_[322] + vX_[556] + vX_[303] * vX_[342] + vX_[521] * vX_[342] - vX_[316] * vX_[322] - vX_[326] * vX_[317] - vX_[339] * vX_[322];
+ vX_[558] = vX_[318] * vX_[522] + vX_[239] * vX_[557];
+ vX_[559] = vX_[318] * vX_[557];
+ vX_[560] = vX_[559] + vX_[239] * vX_[517];
+ vX_[561] = vX_[558] * vX_[318] + vX_[560] * vX_[239];
+ vX_[559] = vX_[320] * vX_[522] + vX_[559];
+ vX_[562] = vX_[320] * vX_[557] + vX_[318] * vX_[517];
+ vX_[563] = vX_[559] * vX_[320] + vX_[562] * vX_[318];
+ vX_[470] = -1 * 2. * vX_[470];
+ vX_[564] = -1 * 2. * vX_[469];
+ vX_[565] = -3.6e-05 + vX_[470] * vX_[389] + vX_[564] * vX_[361] + vX_[361] * vX_[469] + vX_[388] * vX_[471] - vX_[430] * vX_[524];
+ vX_[566] = vX_[473] * vX_[444] + vX_[565] + vX_[424] * vX_[464] + vX_[535] * vX_[464] - vX_[437] * vX_[444] - vX_[448] * vX_[439] - vX_[461] * vX_[444];
+ vX_[567] = vX_[360] * vX_[566];
+ vX_[568] = vX_[441] * vX_[536] + vX_[567];
+ vX_[569] = vX_[441] * vX_[566] + vX_[360] * vX_[531];
+ vX_[570] = vX_[568] * vX_[441] + vX_[569] * vX_[360];
+ vX_[571] = vX_[360] * vX_[536] + vX_[440] * vX_[566];
+ vX_[567] = vX_[567] + vX_[440] * vX_[531];
+ vX_[572] = vX_[571] * vX_[360] + vX_[567] * vX_[440];
+ vX_[573] = 1.209488 + vX_[489] + vX_[494] + vX_[488] + vX_[503] + vX_[508] + vX_[502] + vX_[517] + vX_[522] + vX_[516] + vX_[531] + vX_[536] + vX_[530] - vX_[543] - vX_[545] - vX_[552] - vX_[554] - vX_[561] - vX_[563] - vX_[570] - vX_[572];
+ vX_[574] = (0.190812 + vX_[126] + vX_[238] + vX_[358] + vX_[480]) / vX_[573];
+ vX_[575] = -1 * sin(x_in[6]);
+ vX_[576] = - vX_[575];
+ vX_[577] = cos(x_in[6]);
+ vX_[578] = vX_[576] * x_in[19] + vX_[577] * x_in[20];
+ vX_[579] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[580] = -1 * x_in[18] + x_in[24];
+ vX_[581] = -0.3735 * vX_[575];
+ vX_[582] = -0.3735 * vX_[577];
+ vX_[583] = 0.207 * vX_[577];
+ vX_[584] = - vX_[575];
+ vX_[585] = vX_[581] * x_in[20] + vX_[582] * x_in[19] + vX_[583] * x_in[18] + vX_[577] * x_in[23] + vX_[584] * x_in[22];
+ vX_[586] = vX_[578] * vX_[579] - vX_[580] * vX_[585];
+ vX_[587] = vX_[578] * vX_[580];
+ vX_[588] = vX_[441] * x_in[19] + vX_[360] * x_in[20];
+ vX_[589] = - vX_[577];
+ vX_[590] = vX_[589] * x_in[19] + vX_[576] * x_in[20];
+ vX_[591] = vX_[588] * vX_[590] + vX_[590] * vX_[588];
+ vX_[592] = -0.08 * vX_[361];
+ vX_[593] = vX_[361] * vX_[588] + vX_[388] * vX_[580];
+ vX_[594] = -1 * vX_[585];
+ vX_[595] = vX_[361] * vX_[590];
+ vX_[596] = 0.207 * vX_[440];
+ vX_[597] = 0 - vX_[359];
+ vX_[598] = vX_[443] * x_in[20] + vX_[442] * x_in[19] + vX_[596] * x_in[18] + vX_[440] * x_in[23] + vX_[597] * x_in[22];
+ vX_[599] = -0.08 * vX_[580] + -1 * vX_[598];
+ vX_[600] = vX_[593] * vX_[594] + vX_[595] * vX_[599];
+ vX_[601] = vX_[360] * x_in[19] + vX_[440] * x_in[20];
+ vX_[602] = -1 * vX_[601] + x_in[25];
+ vX_[603] = -0.3735 * vX_[577];
+ vX_[604] = 0.3735 * vX_[575];
+ vX_[605] = -0.207 * vX_[575];
+ vX_[575] = - vX_[575];
+ vX_[606] = - vX_[577];
+ vX_[607] = vX_[603] * x_in[20] + vX_[604] * x_in[19] + vX_[605] * x_in[18] + vX_[575] * x_in[23] + vX_[606] * x_in[22];
+ vX_[608] = vX_[361] * vX_[607] + vX_[409] * vX_[578];
+ vX_[609] = -1 * vX_[578];
+ vX_[610] = -0.3735 * vX_[440];
+ vX_[611] = 0.3735 * vX_[359];
+ vX_[359] = 0 - vX_[359];
+ vX_[612] = 0 - vX_[440];
+ vX_[613] = vX_[610] * x_in[20] + vX_[611] * x_in[19] + vX_[438] * x_in[18] + vX_[359] * x_in[23] + vX_[612] * x_in[22];
+ vX_[614] = vX_[388] * vX_[579] + vX_[361] * vX_[613] + vX_[409] * vX_[601];
+ vX_[615] = vX_[602] * vX_[608] + vX_[609] * vX_[614];
+ vX_[616] = vX_[389] * vX_[590];
+ vX_[617] = vX_[389] * vX_[588] + vX_[361] * vX_[580];
+ vX_[618] = vX_[593] * vX_[616] + vX_[595] * vX_[617];
+ vX_[619] = vX_[362] * vX_[593] + vX_[364] * vX_[617];
+ vX_[620] = -0.35 * vX_[616] + vX_[594];
+ vX_[621] = vX_[362] * vX_[595] + vX_[364] * vX_[616];
+ vX_[622] = -0.35 * vX_[617] + vX_[599];
+ vX_[623] = vX_[619] * vX_[620] + vX_[621] * vX_[622];
+ vX_[624] = vX_[602] + x_in[26];
+ vX_[625] = 0 - vX_[388];
+ vX_[626] = vX_[625] * vX_[607] + vX_[592] * vX_[578];
+ vX_[627] = vX_[364] * vX_[626] + vX_[362] * vX_[608] + vX_[367] * vX_[609];
+ vX_[628] = vX_[361] * vX_[579] + vX_[625] * vX_[613] + vX_[592] * vX_[601];
+ vX_[629] = vX_[364] * vX_[628] + vX_[362] * vX_[614] + vX_[367] * vX_[602];
+ vX_[630] = vX_[624] * vX_[627] + vX_[609] * vX_[629];
+ vX_[631] = vX_[365] * vX_[595] + vX_[362] * vX_[616];
+ vX_[632] = vX_[365] * vX_[593] + vX_[362] * vX_[617];
+ vX_[633] = vX_[619] * vX_[631] + vX_[621] * vX_[632];
+ vX_[634] = vX_[632] * vX_[609] + vX_[631] * vX_[624];
+ vX_[635] = (- vX_[627]) * x_in[26];
+ vX_[636] = 0 - vX_[364];
+ vX_[637] = 0.35 * vX_[362];
+ vX_[638] = vX_[362] * vX_[626] + vX_[636] * vX_[608] + vX_[637] * vX_[609];
+ vX_[639] = vX_[638] * x_in[26];
+ vX_[640] = vX_[631] * x_in[26];
+ vX_[641] = vX_[362] * vX_[628] + vX_[636] * vX_[614] + vX_[637] * vX_[602];
+ vX_[620] = vX_[632] * vX_[620] + vX_[631] * vX_[622] - (vX_[624] * vX_[638] + vX_[609] * vX_[641]);
+ vX_[642] = 0.1104774 * (vX_[630] - vX_[623]) + 0.025941 * vX_[633] - 0.0004405 * vX_[620];
+ vX_[643] = 0 - vX_[642];
+ vX_[644] = vX_[624] * vX_[609] + vX_[609] * vX_[624];
+ vX_[645] = vX_[619] * vX_[621] + vX_[621] * vX_[619];
+ vX_[646] = -0.881 * (vX_[623] - vX_[630]) + 0.1104774 * vX_[633] + -8.81e-05 * vX_[634] + 0.414812462825713 * vX_[635] + 0.00185880198235362 * vX_[639] + 8.81e-05 * vX_[640] + (0.1104774 * vX_[643]) / 0.026181 - 0.0004405 * (vX_[644] + vX_[645]);
+ vX_[647] = vX_[619] * vX_[609] + vX_[621] * vX_[624];
+ vX_[648] = (- vX_[621]) * x_in[26];
+ vX_[649] = vX_[632] * vX_[631] + vX_[631] * vX_[632];
+ vX_[644] = 0.881 * vX_[620] + -8.81e-05 * vX_[647] + 0.0004405 * vX_[633] + 0.00185880198235362 * vX_[635] + 0.880992588508842 * vX_[639] + -8.81e-05 * vX_[648] + (-0.0004405 * vX_[643]) / 0.026181 - 0.1104774 * (vX_[644] + vX_[649]);
+ vX_[633] = (- vX_[595]) * x_in[25];
+ vX_[650] = vX_[616] * x_in[25];
+ vX_[651] = (- vX_[608]) * x_in[25];
+ vX_[652] = vX_[626] * x_in[25];
+ vX_[653] = vX_[593] * vX_[609] + vX_[595] * vX_[602];
+ vX_[594] = vX_[617] * vX_[594] + vX_[616] * vX_[599] - (vX_[602] * vX_[626] + vX_[609] * vX_[628]);
+ vX_[654] = vX_[617] * vX_[609] + vX_[616] * vX_[602];
+ vX_[655] = vX_[617] * vX_[616] + vX_[616] * vX_[617];
+ vX_[656] = vX_[593] * vX_[595] + vX_[595] * vX_[593];
+ vX_[642] = 0.47422804 * (vX_[615] - vX_[600]) + 0.081641 * vX_[618] + 2.1e-05 * vX_[653] + (0.026181 * vX_[643]) / 0.026181 + vX_[642] + vX_[637] * vX_[646] + vX_[367] * vX_[644] - -0.0825825 * vX_[594] - 0.000102 * vX_[654] - 0.007418 * (vX_[655] - vX_[656]);
+ vX_[657] = 0 - vX_[642];
+ vX_[609] = vX_[602] * vX_[609] + vX_[609] * vX_[602];
+ vX_[615] = -3.146 * (vX_[600] - vX_[615]) + 0.47422804 * vX_[618] + vX_[362] * vX_[646] + vX_[364] * vX_[644] + vX_[393] * vX_[633] + vX_[387] * vX_[650] + vX_[419] * vX_[651] + vX_[421] * vX_[652] + (vX_[383] * vX_[657]) / vX_[385] - -0.0825825 * (vX_[609] + vX_[656]);
+ vX_[594] = 3.146 * vX_[594] + -0.0825825 * vX_[618] + vX_[636] * vX_[646] + vX_[362] * vX_[644] + vX_[399] * vX_[633] + vX_[398] * vX_[650] + vX_[421] * vX_[651] + vX_[420] * vX_[652] + (vX_[396] * vX_[657]) / vX_[385] - 0.47422804 * (vX_[609] + vX_[655]);
+ vX_[644] = (- vX_[590]) * x_in[24];
+ vX_[646] = vX_[578] * x_in[24];
+ vX_[600] = (- vX_[607]) * x_in[24];
+ vX_[658] = vX_[585] * x_in[24];
+ vX_[659] = vX_[588] * vX_[578] + vX_[590] * vX_[601];
+ vX_[660] = vX_[580] * vX_[607];
+ vX_[661] = vX_[590] * vX_[579];
+ vX_[662] = vX_[590] * vX_[580];
+ vX_[638] = vX_[619] * vX_[638] + vX_[621] * vX_[641] - (vX_[632] * vX_[627] + vX_[631] * vX_[629]);
+ vX_[620] = -8.81e-05 * vX_[620] + -8.81e-05 * vX_[639] + 0.026409 * vX_[648] - 0.1104774 * vX_[638] - 0.025713 * vX_[647];
+ vX_[630] = 0.0004405 * vX_[638] + -8.81e-05 * (vX_[623] - vX_[630]) + -0.000227999999999999 * vX_[634] + 8.81e-05 * vX_[635] + 0.000468 * vX_[640];
+ vX_[638] = 0.881 * vX_[638] + 0.1104774 * vX_[647] + 0.0004405 * vX_[634] + -0.1104774 * vX_[648] + 0.0004405 * vX_[640] - -8.81e-05 * (vX_[649] + vX_[645]);
+ vX_[626] = vX_[593] * vX_[626] + vX_[595] * vX_[628] - (vX_[617] * vX_[608] + vX_[616] * vX_[614]);
+ vX_[656] = 0.007418 * vX_[654] + 0.000102 * (vX_[609] - vX_[656]) + vX_[362] * vX_[620] + vX_[364] * vX_[630] + -0.35 * vX_[638] + vX_[415] * vX_[633] + vX_[407] * vX_[650] + vX_[393] * vX_[651] + vX_[399] * vX_[652] + (vX_[392] * vX_[657]) / vX_[385] - 0.47422804 * vX_[626] - 0.084376 * vX_[653] - 2.1e-05 * vX_[618];
+ vX_[630] = 0.002735 * vX_[654] + -0.0825825 * vX_[626] + 0.000102 * vX_[618] + vX_[365] * vX_[620] + vX_[362] * vX_[630] + vX_[407] * vX_[633] + vX_[414] * vX_[650] + vX_[387] * vX_[651] + vX_[398] * vX_[652] + (vX_[373] * vX_[657]) / vX_[385] - 0.007418 * vX_[653] - 2.1e-05 * (vX_[609] - vX_[655]);
+ vX_[626] = 0.47422804 * vX_[653] + 3.146 * vX_[626] + -0.0825825 * vX_[654] + vX_[638] + vX_[382] * vX_[633] + vX_[395] * vX_[650];
+ vX_[638] = vX_[601] * vX_[578] + vX_[578] * vX_[601];
+ vX_[654] = 0.009466 * vX_[659] + 0.1466472 * (vX_[660] - vX_[661]) + -5.1e-05 * vX_[662] + vX_[361] * vX_[656] + vX_[388] * vX_[630] + -0.08 * vX_[626] - -0.022734 * vX_[587] - -3.6e-05 * (vX_[638] - vX_[591]);
+ vX_[653] = 0 - vX_[654];
+ vX_[607] = vX_[588] * vX_[585] + vX_[590] * vX_[598] - (vX_[601] * vX_[607] + vX_[578] * vX_[613]);
+ vX_[642] = 0.5824264 * vX_[586] + -3.6e-05 * vX_[587] + -0.022734 * (0 - vX_[591]) + vX_[592] * vX_[615] + vX_[409] * vX_[594] + -1 * (vX_[642] + (vX_[385] * vX_[657]) / vX_[385]) + vX_[525] * vX_[644] + vX_[565] * vX_[646] + vX_[473] * vX_[600] + vX_[462] * vX_[658] + (vX_[472] * vX_[653]) / vX_[435] - 0.1466472 * vX_[607] - -0.123672 * vX_[662] - -5.1e-05 * vX_[659];
+ vX_[590] = vX_[601] * vX_[579] - vX_[580] * vX_[598];
+ vX_[585] = vX_[601] * vX_[580];
+ vX_[578] = vX_[580] * vX_[580];
+ vX_[620] = vX_[588] * vX_[588];
+ vX_[609] = vX_[593] * vX_[599];
+ vX_[655] = vX_[602] * vX_[614];
+ vX_[618] = vX_[593] * vX_[617];
+ vX_[616] = vX_[619] * vX_[622];
+ vX_[608] = vX_[624] * vX_[629];
+ vX_[595] = vX_[619] * vX_[632];
+ vX_[649] = vX_[632] * vX_[624];
+ vX_[648] = 0 - vX_[629];
+ vX_[647] = vX_[648] * x_in[26];
+ vX_[645] = vX_[641] * x_in[26];
+ vX_[640] = vX_[632] * x_in[26];
+ vX_[634] = vX_[632] * vX_[622] - vX_[624] * vX_[641];
+ vX_[623] = 0.1104774 * (vX_[608] - vX_[616]) + 0.025941 * vX_[595] - 0.0004405 * vX_[634];
+ vX_[631] = x_in[38] - vX_[623];
+ vX_[627] = vX_[624] * vX_[624];
+ vX_[621] = vX_[619] * vX_[619];
+ vX_[663] = -0.881 * (vX_[616] - vX_[608]) + 0.1104774 * vX_[595] + -8.81e-05 * vX_[649] + 0.414812462825713 * vX_[647] + 0.00185880198235362 * vX_[645] + 8.81e-05 * vX_[640] + (0.1104774 * vX_[631]) / 0.026181 - 0.0004405 * (vX_[627] + vX_[621]);
+ vX_[664] = vX_[619] * vX_[624];
+ vX_[665] = 0 - vX_[619];
+ vX_[666] = vX_[665] * x_in[26];
+ vX_[667] = vX_[632] * vX_[632];
+ vX_[627] = 0.881 * vX_[634] + -8.81e-05 * vX_[664] + 0.0004405 * vX_[595] + 0.00185880198235362 * vX_[647] + 0.880992588508842 * vX_[645] + -8.81e-05 * vX_[666] + (-0.0004405 * vX_[631]) / 0.026181 - 0.1104774 * (vX_[627] + vX_[667]);
+ vX_[595] = 0 - vX_[593];
+ vX_[668] = vX_[595] * x_in[25];
+ vX_[669] = vX_[617] * x_in[25];
+ vX_[670] = 0 - vX_[614];
+ vX_[671] = vX_[670] * x_in[25];
+ vX_[672] = vX_[628] * x_in[25];
+ vX_[673] = vX_[593] * vX_[602];
+ vX_[674] = vX_[617] * vX_[599] - vX_[602] * vX_[628];
+ vX_[675] = vX_[617] * vX_[602];
+ vX_[676] = vX_[617] * vX_[617];
+ vX_[677] = vX_[593] * vX_[593];
+ vX_[631] = 0.47422804 * (vX_[655] - vX_[609]) + 0.081641 * vX_[618] + 2.1e-05 * vX_[673] + (0.026181 * vX_[631]) / 0.026181 + vX_[623] + vX_[637] * vX_[663] + vX_[367] * vX_[627] - -0.0825825 * vX_[674] - 0.000102 * vX_[675] - 0.007418 * (vX_[676] - vX_[677]);
+ vX_[623] = x_in[37] - vX_[631];
+ vX_[678] = (vX_[383] * vX_[623]) / vX_[385];
+ vX_[679] = vX_[602] * vX_[602];
+ vX_[655] = -3.146 * (vX_[609] - vX_[655]) + 0.47422804 * vX_[618] + vX_[362] * vX_[663] + vX_[364] * vX_[627] + vX_[393] * vX_[668] + vX_[387] * vX_[669] + vX_[419] * vX_[671] + vX_[421] * vX_[672] + vX_[678] - -0.0825825 * (vX_[679] + vX_[677]);
+ vX_[609] = (vX_[396] * vX_[623]) / vX_[385];
+ vX_[674] = 3.146 * vX_[674] + -0.0825825 * vX_[618] + vX_[636] * vX_[663] + vX_[362] * vX_[627] + vX_[399] * vX_[668] + vX_[398] * vX_[669] + vX_[421] * vX_[671] + vX_[420] * vX_[672] + vX_[609] - 0.47422804 * (vX_[679] + vX_[676]);
+ vX_[680] = (vX_[385] * vX_[623]) / vX_[385];
+ vX_[681] = 0 - vX_[588];
+ vX_[682] = vX_[681] * x_in[24];
+ vX_[683] = vX_[601] * x_in[24];
+ vX_[684] = 0 - vX_[613];
+ vX_[685] = vX_[684] * x_in[24];
+ vX_[686] = vX_[598] * x_in[24];
+ vX_[687] = vX_[588] * vX_[601];
+ vX_[688] = vX_[580] * vX_[613];
+ vX_[689] = vX_[588] * vX_[579];
+ vX_[690] = vX_[588] * vX_[580];
+ vX_[691] = vX_[619] * vX_[641] - vX_[632] * vX_[629];
+ vX_[634] = -8.81e-05 * vX_[634] + -8.81e-05 * vX_[645] + 0.026409 * vX_[666] - 0.1104774 * vX_[691] - 0.025713 * vX_[664];
+ vX_[647] = 0.0004405 * vX_[691] + -8.81e-05 * (vX_[616] - vX_[608]) + -0.000227999999999999 * vX_[649] + 8.81e-05 * vX_[647] + 0.000468 * vX_[640];
+ vX_[691] = 0.881 * vX_[691] + 0.1104774 * vX_[664] + 0.0004405 * vX_[649] + -0.1104774 * vX_[666] + 0.0004405 * vX_[640] - -8.81e-05 * (vX_[667] + vX_[621]);
+ vX_[667] = (vX_[392] * vX_[623]) / vX_[385];
+ vX_[666] = vX_[593] * vX_[628] - vX_[617] * vX_[614];
+ vX_[677] = 0.007418 * vX_[675] + 0.000102 * (vX_[679] - vX_[677]) + vX_[362] * vX_[634] + vX_[364] * vX_[647] + -0.35 * vX_[691] + vX_[415] * vX_[668] + vX_[407] * vX_[669] + vX_[393] * vX_[671] + vX_[399] * vX_[672] + vX_[667] - 0.47422804 * vX_[666] - 0.084376 * vX_[673] - 2.1e-05 * vX_[618];
+ vX_[664] = (vX_[373] * vX_[623]) / vX_[385];
+ vX_[679] = 0.002735 * vX_[675] + -0.0825825 * vX_[666] + 0.000102 * vX_[618] + vX_[365] * vX_[634] + vX_[362] * vX_[647] + vX_[407] * vX_[668] + vX_[414] * vX_[669] + vX_[387] * vX_[671] + vX_[398] * vX_[672] + vX_[664] - 0.007418 * vX_[673] - 2.1e-05 * (vX_[679] - vX_[676]);
+ vX_[666] = 0.47422804 * vX_[673] + 3.146 * vX_[666] + -0.0825825 * vX_[675] + vX_[691] + vX_[382] * vX_[668] + vX_[395] * vX_[669];
+ vX_[691] = vX_[601] * vX_[601];
+ vX_[675] = 0.009466 * vX_[687] + 0.1466472 * (vX_[688] - vX_[689]) + -5.1e-05 * vX_[690] + vX_[361] * vX_[677] + vX_[388] * vX_[679] + -0.08 * vX_[666] - -0.022734 * vX_[585] - -3.6e-05 * (vX_[691] - vX_[620]);
+ vX_[673] = x_in[36] - vX_[675];
+ vX_[676] = (vX_[472] * vX_[673]) / vX_[435];
+ vX_[618] = vX_[588] * vX_[598] - vX_[601] * vX_[613];
+ vX_[631] = 0.5824264 * vX_[590] + -3.6e-05 * vX_[585] + -0.022734 * (vX_[578] - vX_[620]) + vX_[592] * vX_[655] + vX_[409] * vX_[674] + -1 * (vX_[631] + vX_[680]) + vX_[525] * vX_[682] + vX_[565] * vX_[683] + vX_[473] * vX_[685] + vX_[462] * vX_[686] + vX_[676] - 0.1466472 * vX_[618] - -0.123672 * vX_[690] - -5.1e-05 * vX_[687];
+ vX_[630] = -0.133138 * vX_[587] + 0.5824264 * (vX_[661] - vX_[660]) + -0.022734 * vX_[659] + vX_[389] * vX_[656] + vX_[361] * vX_[630] + vX_[565] * vX_[644] + vX_[434] * vX_[646] + vX_[463] * vX_[600] + vX_[437] * vX_[658] + (vX_[430] * vX_[653]) / vX_[435] - -3.6e-05 * vX_[662] - -5.1e-05 * (0 - vX_[638]);
+ vX_[656] = (vX_[430] * vX_[673]) / vX_[435];
+ vX_[621] = -0.133138 * vX_[585] + 0.5824264 * (vX_[689] - vX_[688]) + -0.022734 * vX_[687] + vX_[389] * vX_[677] + vX_[361] * vX_[679] + vX_[565] * vX_[682] + vX_[434] * vX_[683] + vX_[463] * vX_[685] + vX_[437] * vX_[686] + vX_[656] - -3.6e-05 * vX_[690] - -5.1e-05 * (vX_[578] - vX_[691]);
+ vX_[607] = 3.44 * vX_[607] + 0.1466472 * vX_[662] + vX_[361] * vX_[615] + vX_[388] * vX_[594] + vX_[448] * vX_[644] + vX_[424] * vX_[646] + vX_[466] * vX_[600] + vX_[459] * vX_[658] + (vX_[457] * vX_[653]) / vX_[435] - 0.5824264 * (vX_[638] + vX_[591]);
+ vX_[626] = 0.1466472 * vX_[659] + -3.44 * (vX_[661] - vX_[660]) + 0.5824264 * vX_[587] + -1 * vX_[626] + vX_[473] * vX_[644] + vX_[463] * vX_[646] + vX_[465] * vX_[600] + vX_[451] * vX_[658] + (vX_[449] * vX_[653]) / vX_[435];
+ vX_[661] = (vX_[449] * vX_[673]) / vX_[435];
+ vX_[666] = 0.1466472 * vX_[687] + -3.44 * (vX_[689] - vX_[688]) + 0.5824264 * vX_[585] + -1 * vX_[666] + vX_[473] * vX_[682] + vX_[463] * vX_[683] + vX_[465] * vX_[685] + vX_[451] * vX_[686] + vX_[661];
+ vX_[638] = 3.44 * vX_[586] + 0.5824264 * vX_[662] + vX_[625] * vX_[615] + vX_[361] * vX_[594] + vX_[462] * vX_[644] + vX_[437] * vX_[646] + vX_[451] * vX_[600] + vX_[477] * vX_[658] + (vX_[433] * vX_[653]) / vX_[435] - 0.1466472 * vX_[638];
+ vX_[662] = (vX_[433] * vX_[673]) / vX_[435];
+ vX_[578] = 3.44 * vX_[590] + 0.5824264 * vX_[690] + vX_[625] * vX_[655] + vX_[361] * vX_[674] + vX_[462] * vX_[682] + vX_[437] * vX_[683] + vX_[451] * vX_[685] + vX_[477] * vX_[686] + vX_[662] - 0.1466472 * (vX_[578] + vX_[691]);
+ vX_[590] = vX_[541] * vX_[86] + vX_[544] * vX_[24];
+ vX_[594] = vX_[553] * vX_[199] + vX_[549] * vX_[128];
+ vX_[615] = vX_[559] * vX_[318] + vX_[562] * vX_[239];
+ vX_[586] = vX_[571] * vX_[441] + vX_[567] * vX_[360];
+ vX_[480] = 0.190812 + vX_[126] + vX_[238] + vX_[358] + vX_[480];
+ vX_[358] = vX_[88] * vX_[125] + vX_[86] * vX_[114];
+ vX_[238] = vX_[128] * vX_[237] + vX_[198] * vX_[226];
+ vX_[126] = vX_[320] * vX_[357] + vX_[318] * vX_[346];
+ vX_[689] = vX_[360] * vX_[479] + vX_[440] * vX_[468];
+ vX_[688] = (-0.00571 + vX_[358] + vX_[238] + vX_[126] + vX_[689]) / vX_[573];
+ vX_[687] = 0.012668 + vX_[590] + vX_[594] + vX_[615] + vX_[586] - vX_[480] * vX_[688];
+ vX_[689] = -0.00571 + vX_[358] + vX_[238] + vX_[126] + vX_[689];
+ vX_[126] = x_in[18] * x_in[22] - x_in[19] * x_in[21];
+ vX_[238] = x_in[18] * x_in[23];
+ vX_[358] = x_in[20] * x_in[21];
+ vX_[585] = x_in[19] * x_in[20];
+ vX_[660] = x_in[18] * x_in[19];
+ vX_[659] = vX_[86] * x_in[19] + vX_[88] * x_in[20];
+ vX_[587] = vX_[24] * x_in[19] + vX_[86] * x_in[20];
+ vX_[591] = vX_[659] * vX_[587];
+ vX_[640] = x_in[18] + x_in[33];
+ vX_[649] = -0.3735 * vX_[86];
+ vX_[608] = -0.3735 * vX_[24];
+ vX_[616] = 0 - vX_[24];
+ vX_[645] = vX_[649] * x_in[20] + vX_[608] * x_in[19] + vX_[85] * x_in[18] + vX_[616] * x_in[23] + vX_[86] * x_in[22];
+ vX_[692] = vX_[640] * vX_[645];
+ vX_[693] = 0.207 * x_in[20] + x_in[21];
+ vX_[694] = vX_[659] * vX_[693];
+ vX_[695] = vX_[659] * vX_[640];
+ vX_[696] = vX_[38] * vX_[659] + vX_[55] * vX_[640];
+ vX_[697] = vX_[587] + x_in[34];
+ vX_[698] = vX_[696] * vX_[697];
+ vX_[699] = vX_[697] * vX_[697];
+ vX_[700] = vX_[33] * vX_[659] + vX_[38] * vX_[640];
+ vX_[701] = vX_[700] * vX_[700];
+ vX_[702] = vX_[36] * vX_[700] + vX_[20] * vX_[696];
+ vX_[703] = -0.207 * vX_[86];
+ vX_[704] = vX_[89] * x_in[20] + vX_[87] * x_in[19] + vX_[703] * x_in[18] + vX_[86] * x_in[23] + vX_[24] * x_in[22];
+ vX_[705] = 0.08 * vX_[640] + vX_[704];
+ vX_[706] = -0.35 * vX_[696] + vX_[705];
+ vX_[707] = vX_[697] + x_in[35];
+ vX_[708] = 0 - vX_[33];
+ vX_[709] = 0 - vX_[10];
+ vX_[710] = 0.08 * vX_[33];
+ vX_[711] = vX_[708] * vX_[693] + vX_[709] * vX_[645] + vX_[710] * vX_[587];
+ vX_[712] = 0 - vX_[37];
+ vX_[10] = 0 - vX_[10];
+ vX_[713] = vX_[10] * vX_[693] + vX_[33] * vX_[645] + vX_[57] * vX_[587];
+ vX_[714] = 0.35 * vX_[20];
+ vX_[715] = vX_[20] * vX_[711] + vX_[712] * vX_[713] + vX_[714] * vX_[697];
+ vX_[716] = vX_[702] * vX_[706] - vX_[707] * vX_[715];
+ vX_[717] = vX_[715] * x_in[35];
+ vX_[718] = vX_[20] * vX_[700] + vX_[37] * vX_[696];
+ vX_[719] = 0 - vX_[718];
+ vX_[720] = vX_[719] * x_in[35];
+ vX_[721] = vX_[37] * vX_[711] + vX_[20] * vX_[713] + vX_[34] * vX_[697];
+ vX_[722] = vX_[718] * vX_[715] - vX_[702] * vX_[721];
+ vX_[723] = vX_[718] * vX_[707];
+ vX_[724] = 8.81e-05 * vX_[716] + 8.81e-05 * vX_[717] + 0.026409 * vX_[720] - 0.1104774 * vX_[722] - 0.025713 * vX_[723];
+ vX_[725] = vX_[718] * vX_[706];
+ vX_[726] = vX_[707] * vX_[721];
+ vX_[727] = vX_[702] * vX_[707];
+ vX_[728] = 0 - vX_[721];
+ vX_[729] = vX_[728] * x_in[35];
+ vX_[730] = vX_[702] * x_in[35];
+ vX_[731] = -0.0004405 * vX_[722] + 8.81e-05 * (vX_[725] - vX_[726]) + -0.000227999999999999 * vX_[727] + -8.81e-05 * vX_[729] + 0.000468 * vX_[730];
+ vX_[732] = vX_[702] * vX_[702];
+ vX_[733] = vX_[718] * vX_[718];
+ vX_[722] = 0.881 * vX_[722] + 0.1104774 * vX_[723] + -0.0004405 * vX_[727] + -0.1104774 * vX_[720] + -0.0004405 * vX_[730] - 8.81e-05 * (vX_[732] + vX_[733]);
+ vX_[734] = 0 - vX_[700];
+ vX_[735] = vX_[734] * x_in[34];
+ vX_[736] = vX_[696] * x_in[34];
+ vX_[737] = 0 - vX_[713];
+ vX_[738] = vX_[737] * x_in[34];
+ vX_[739] = vX_[711] * x_in[34];
+ vX_[740] = vX_[697] * vX_[713];
+ vX_[741] = vX_[700] * vX_[705];
+ vX_[742] = vX_[700] * vX_[696];
+ vX_[743] = vX_[700] * vX_[697];
+ vX_[744] = vX_[718] * vX_[702];
+ vX_[745] = 0.1104774 * (vX_[726] - vX_[725]) + 0.025941 * vX_[744] - -0.0004405 * vX_[716];
+ vX_[746] = x_in[47] - vX_[745];
+ vX_[747] = vX_[707] * vX_[707];
+ vX_[733] = -0.881 * (vX_[725] - vX_[726]) + 0.1104774 * vX_[744] + 8.81e-05 * vX_[727] + 0.414812462825713 * vX_[729] + -0.00185880198235362 * vX_[717] + -8.81e-05 * vX_[730] + (0.1104774 * vX_[746]) / 0.026181 - -0.0004405 * (vX_[747] + vX_[733]);
+ vX_[747] = 0.881 * vX_[716] + 8.81e-05 * vX_[723] + -0.0004405 * vX_[744] + -0.00185880198235362 * vX_[729] + 0.880992588508842 * vX_[717] + 8.81e-05 * vX_[720] + (0.0004405 * vX_[746]) / 0.026181 - 0.1104774 * (vX_[747] + vX_[732]);
+ vX_[744] = vX_[696] * vX_[705] - vX_[697] * vX_[711];
+ vX_[732] = vX_[696] * vX_[696];
+ vX_[746] = 0.47422804 * (vX_[740] - vX_[741]) + 0.081641 * vX_[742] + 2.1e-05 * vX_[743] + (0.026181 * vX_[746]) / 0.026181 + vX_[745] + vX_[714] * vX_[733] + vX_[34] * vX_[747] - 0.0825825 * vX_[744] - -0.000102 * vX_[698] - -0.007418 * (vX_[732] - vX_[701]);
+ vX_[745] = x_in[46] - vX_[746];
+ vX_[729] = (vX_[6] * vX_[745]) / vX_[17];
+ vX_[723] = vX_[700] * vX_[711] - vX_[696] * vX_[713];
+ vX_[720] = -0.007418 * vX_[698] + -0.000102 * (vX_[699] - vX_[701]) + vX_[20] * vX_[724] + vX_[37] * vX_[731] + -0.35 * vX_[722] + vX_[62] * vX_[735] + vX_[54] * vX_[736] + vX_[31] * vX_[738] + vX_[46] * vX_[739] + vX_[729] - 0.47422804 * vX_[723] - 0.084376 * vX_[743] - 2.1e-05 * vX_[742];
+ vX_[717] = (vX_[23] * vX_[745]) / vX_[17];
+ vX_[716] = 0.002735 * vX_[698] + 0.0825825 * vX_[723] + -0.000102 * vX_[742] + vX_[36] * vX_[724] + vX_[20] * vX_[731] + vX_[54] * vX_[735] + vX_[61] * vX_[736] + vX_[13] * vX_[738] + vX_[45] * vX_[739] + vX_[717] - -0.007418 * vX_[743] - 2.1e-05 * (vX_[699] - vX_[732]);
+ vX_[723] = 0.47422804 * vX_[743] + 3.146 * vX_[723] + 0.0825825 * vX_[698] + vX_[722] + vX_[29] * vX_[735] + vX_[42] * vX_[736];
+ vX_[743] = vX_[587] * vX_[640];
+ vX_[722] = vX_[587] * vX_[587];
+ vX_[698] = vX_[659] * vX_[659];
+ vX_[730] = 0.009466 * vX_[591] + 0.1466472 * (vX_[692] - vX_[694]) + -5.1e-05 * vX_[695] + vX_[55] * vX_[720] + vX_[38] * vX_[716] + 0.08 * vX_[723] - -0.022734 * vX_[743] - -3.6e-05 * (vX_[722] - vX_[698]);
+ vX_[727] = x_in[45] - vX_[730];
+ vX_[726] = (vX_[82] * vX_[727]) / vX_[82];
+ vX_[725] = 0 - vX_[659];
+ vX_[748] = vX_[725] * x_in[33];
+ vX_[749] = vX_[587] * x_in[33];
+ vX_[750] = 0 - vX_[645];
+ vX_[751] = vX_[750] * x_in[33];
+ vX_[752] = vX_[704] * x_in[33];
+ vX_[753] = (vX_[95] * vX_[727]) / vX_[82];
+ vX_[723] = 0.1466472 * vX_[591] + -3.44 * (vX_[694] - vX_[692]) + 0.5824264 * vX_[743] + vX_[723] + vX_[119] * vX_[748] + vX_[109] * vX_[749] + vX_[111] * vX_[751] + vX_[97] * vX_[752] + vX_[753];
+ vX_[754] = vX_[587] * vX_[693] - vX_[640] * vX_[704];
+ vX_[755] = (vX_[15] * vX_[745]) / vX_[17];
+ vX_[741] = -3.146 * (vX_[741] - vX_[740]) + 0.47422804 * vX_[742] + vX_[20] * vX_[733] + vX_[37] * vX_[747] + vX_[31] * vX_[735] + vX_[13] * vX_[736] + vX_[66] * vX_[738] + vX_[68] * vX_[739] + vX_[755] - 0.0825825 * (vX_[699] + vX_[701]);
+ vX_[740] = (vX_[43] * vX_[745]) / vX_[17];
+ vX_[732] = 3.146 * vX_[744] + 0.0825825 * vX_[742] + vX_[712] * vX_[733] + vX_[20] * vX_[747] + vX_[46] * vX_[735] + vX_[45] * vX_[736] + vX_[68] * vX_[738] + vX_[67] * vX_[739] + vX_[740] - 0.47422804 * (vX_[699] + vX_[732]);
+ vX_[744] = (vX_[80] * vX_[727]) / vX_[82];
+ vX_[742] = vX_[640] * vX_[640];
+ vX_[699] = 3.44 * vX_[754] + 0.5824264 * vX_[695] + vX_[709] * vX_[741] + vX_[33] * vX_[732] + vX_[108] * vX_[748] + vX_[84] * vX_[749] + vX_[97] * vX_[751] + vX_[123] * vX_[752] + vX_[744] - 0.1466472 * (vX_[742] + vX_[722]);
+ vX_[701] = 0.207 * vX_[198];
+ vX_[756] = vX_[199] * x_in[19] + vX_[128] * x_in[20];
+ vX_[757] = vX_[128] * x_in[19] + vX_[198] * x_in[20];
+ vX_[758] = vX_[756] * vX_[757];
+ vX_[759] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[760] = vX_[756] * vX_[759];
+ vX_[761] = -1 * x_in[18] + x_in[30];
+ vX_[762] = 0.3735 * vX_[198];
+ vX_[763] = -0.3735 * vX_[127];
+ vX_[764] = 0 - vX_[127];
+ vX_[765] = 0 - vX_[198];
+ vX_[766] = vX_[762] * x_in[20] + vX_[763] * x_in[19] + vX_[196] * x_in[18] + vX_[764] * x_in[23] + vX_[765] * x_in[22];
+ vX_[767] = vX_[761] * vX_[766];
+ vX_[768] = vX_[757] * vX_[761];
+ vX_[769] = vX_[129] * vX_[756] + vX_[149] * vX_[761];
+ vX_[770] = -1 * vX_[757] + x_in[31];
+ vX_[771] = vX_[769] * vX_[770];
+ vX_[772] = 0 - vX_[149];
+ vX_[773] = -0.08 * vX_[129];
+ vX_[774] = vX_[129] * vX_[759] + vX_[772] * vX_[766] + vX_[773] * vX_[757];
+ vX_[775] = vX_[150] * vX_[756] + vX_[129] * vX_[761];
+ vX_[776] = vX_[149] * vX_[759] + vX_[129] * vX_[766] + vX_[167] * vX_[757];
+ vX_[777] = vX_[769] * vX_[774] - vX_[775] * vX_[776];
+ vX_[778] = vX_[775] * vX_[770];
+ vX_[779] = vX_[132] * vX_[769] + vX_[130] * vX_[775];
+ vX_[780] = vX_[770] + x_in[32];
+ vX_[781] = vX_[779] * vX_[780];
+ vX_[782] = 0 - vX_[130];
+ vX_[783] = 0.35 * vX_[132];
+ vX_[784] = vX_[132] * vX_[774] + vX_[782] * vX_[776] + vX_[783] * vX_[770];
+ vX_[785] = vX_[142] * vX_[769] + vX_[132] * vX_[775];
+ vX_[786] = vX_[130] * vX_[774] + vX_[132] * vX_[776] + vX_[131] * vX_[770];
+ vX_[787] = vX_[779] * vX_[784] - vX_[785] * vX_[786];
+ vX_[788] = vX_[785] * vX_[780];
+ vX_[789] = 0 - vX_[779];
+ vX_[790] = vX_[789] * x_in[32];
+ vX_[791] = vX_[785] * x_in[32];
+ vX_[792] = 0.110125 * vX_[781] + 0.881 * vX_[787] + -0.000881 * vX_[788] + -0.110125 * vX_[790] + -0.000881 * vX_[791];
+ vX_[793] = 0 - vX_[769];
+ vX_[794] = vX_[793] * x_in[31];
+ vX_[795] = vX_[775] * x_in[31];
+ vX_[796] = 0.47422804 * vX_[771] + 3.146 * vX_[777] + 0.0825825 * vX_[778] + vX_[792] + vX_[143] * vX_[794] + vX_[153] * vX_[795];
+ vX_[797] = 0 - vX_[756];
+ vX_[798] = vX_[797] * x_in[30];
+ vX_[799] = vX_[757] * x_in[30];
+ vX_[800] = 0 - vX_[766];
+ vX_[801] = vX_[800] * x_in[30];
+ vX_[127] = 0 - vX_[127];
+ vX_[802] = vX_[201] * x_in[20] + vX_[200] * x_in[19] + vX_[701] * x_in[18] + vX_[198] * x_in[23] + vX_[127] * x_in[22];
+ vX_[803] = vX_[802] * x_in[30];
+ vX_[804] = vX_[756] * vX_[761];
+ vX_[805] = vX_[770] * vX_[770];
+ vX_[806] = vX_[769] * vX_[769];
+ vX_[790] = 0.026409 * vX_[790] - 0.110125 * vX_[787] - 0.025713 * vX_[781];
+ vX_[791] = -0.000227999999999999 * vX_[788] + -0.000881 * vX_[787] + 0.000468 * vX_[791];
+ vX_[788] = 0 - vX_[776];
+ vX_[787] = vX_[788] * x_in[31];
+ vX_[781] = vX_[774] * x_in[31];
+ vX_[807] = vX_[770] * vX_[776];
+ vX_[808] = -0.08 * vX_[761] + -1 * vX_[802];
+ vX_[809] = vX_[769] * vX_[808];
+ vX_[810] = vX_[769] * vX_[775];
+ vX_[811] = vX_[780] * vX_[786];
+ vX_[812] = -0.35 * vX_[775] + vX_[808];
+ vX_[813] = vX_[779] * vX_[812];
+ vX_[814] = vX_[779] * vX_[785];
+ vX_[815] = vX_[785] * vX_[812] - vX_[780] * vX_[784];
+ vX_[816] = 0.110125 * (vX_[811] - vX_[813]) + 0.025941 * vX_[814] - -0.000881 * vX_[815];
+ vX_[817] = x_in[44] - vX_[816];
+ vX_[818] = 0 - vX_[786];
+ vX_[819] = vX_[818] * x_in[32];
+ vX_[820] = vX_[784] * x_in[32];
+ vX_[821] = vX_[780] * vX_[780];
+ vX_[813] = -0.881 * (vX_[813] - vX_[811]) + 0.110125 * vX_[814] + 0.417781802643138 * vX_[819] + -0.00370574557885489 * vX_[820] + (0.110125 * vX_[817]) / 0.026181 - -0.000881 * (vX_[821] + vX_[779] * vX_[779]);
+ vX_[821] = 0.881 * vX_[815] + -0.000881 * vX_[814] + -0.00370574557885489 * vX_[819] + 0.880970354035369 * vX_[820] + (0.000881 * vX_[817]) / 0.026181 - 0.110125 * (vX_[821] + vX_[785] * vX_[785]);
+ vX_[820] = vX_[775] * vX_[808] - vX_[770] * vX_[774];
+ vX_[819] = vX_[775] * vX_[775];
+ vX_[817] = 0.47422804 * (vX_[807] - vX_[809]) + 0.081641 * vX_[810] + 2.1e-05 * vX_[771] + (0.026181 * vX_[817]) / 0.026181 + vX_[816] + vX_[783] * vX_[813] + vX_[131] * vX_[821] - 0.0825825 * vX_[820] - -0.000102 * vX_[778] - -0.007418 * (vX_[819] - vX_[806]);
+ vX_[816] = x_in[43] - vX_[817];
+ vX_[815] = (2.1e-05 * vX_[816]) / vX_[146];
+ vX_[792] = -0.007418 * vX_[778] + -0.000102 * (vX_[805] - vX_[806]) + vX_[132] * vX_[790] + vX_[130] * vX_[791] + -0.35 * vX_[792] + vX_[173] * vX_[794] + vX_[165] * vX_[795] + vX_[151] * vX_[787] + vX_[157] * vX_[781] + vX_[815] - 0.47422804 * vX_[777] - 0.084376 * vX_[771] - 2.1e-05 * vX_[810];
+ vX_[814] = (-0.000102 * vX_[816]) / vX_[146];
+ vX_[778] = 0.002735 * vX_[778] + 0.0825825 * vX_[777] + -0.000102 * vX_[810] + vX_[142] * vX_[790] + vX_[132] * vX_[791] + vX_[165] * vX_[794] + vX_[172] * vX_[795] + vX_[148] * vX_[787] + vX_[156] * vX_[781] + vX_[814] - -0.007418 * vX_[771] - 2.1e-05 * (vX_[805] - vX_[819]);
+ vX_[777] = vX_[757] * vX_[757];
+ vX_[771] = vX_[756] * vX_[756];
+ vX_[811] = 0.009466 * vX_[758] + 0.1466472 * (vX_[767] - vX_[760]) + -5.1e-05 * vX_[804] + vX_[129] * vX_[792] + vX_[149] * vX_[778] + -0.08 * vX_[796] - 0.022734 * vX_[768] - 3.6e-05 * (vX_[777] - vX_[771]);
+ vX_[822] = x_in[42] - vX_[811];
+ vX_[823] = (vX_[207] * vX_[822]) / vX_[193];
+ vX_[796] = 0.1466472 * vX_[758] + -3.44 * (vX_[760] - vX_[767]) + -0.5824264 * vX_[768] + -1 * vX_[796] + vX_[231] * vX_[798] + vX_[221] * vX_[799] + vX_[223] * vX_[801] + vX_[209] * vX_[803] + vX_[823];
+ vX_[824] = vX_[757] * vX_[759] - vX_[761] * vX_[802];
+ vX_[825] = (vX_[144] * vX_[816]) / vX_[146];
+ vX_[809] = -3.146 * (vX_[809] - vX_[807]) + 0.47422804 * vX_[810] + vX_[132] * vX_[813] + vX_[130] * vX_[821] + vX_[151] * vX_[794] + vX_[148] * vX_[795] + vX_[177] * vX_[787] + vX_[179] * vX_[781] + vX_[825] - 0.0825825 * (vX_[805] + vX_[806]);
+ vX_[807] = (vX_[154] * vX_[816]) / vX_[146];
+ vX_[819] = 3.146 * vX_[820] + 0.0825825 * vX_[810] + vX_[782] * vX_[813] + vX_[132] * vX_[821] + vX_[157] * vX_[794] + vX_[156] * vX_[795] + vX_[179] * vX_[787] + vX_[178] * vX_[781] + vX_[807] - 0.47422804 * (vX_[805] + vX_[819]);
+ vX_[820] = (vX_[191] * vX_[822]) / vX_[193];
+ vX_[810] = vX_[761] * vX_[761];
+ vX_[805] = 3.44 * vX_[824] + -0.5824264 * vX_[804] + vX_[772] * vX_[809] + vX_[129] * vX_[819] + vX_[220] * vX_[798] + vX_[195] * vX_[799] + vX_[209] * vX_[801] + vX_[235] * vX_[803] + vX_[820] - 0.1466472 * (vX_[810] + vX_[777]);
+ vX_[806] = (vX_[193] * vX_[822]) / vX_[193];
+ vX_[826] = vX_[318] * x_in[19] + vX_[320] * x_in[20];
+ vX_[827] = vX_[239] * x_in[19] + vX_[318] * x_in[20];
+ vX_[828] = vX_[826] * vX_[827];
+ vX_[829] = x_in[18] + x_in[27];
+ vX_[830] = 0.3735 * vX_[318];
+ vX_[831] = 0.3735 * vX_[239];
+ vX_[832] = 0 - vX_[239];
+ vX_[833] = vX_[830] * x_in[20] + vX_[831] * x_in[19] + vX_[317] * x_in[18] + vX_[832] * x_in[23] + vX_[318] * x_in[22];
+ vX_[834] = vX_[829] * vX_[833];
+ vX_[835] = 0.207 * x_in[20] + x_in[21];
+ vX_[836] = vX_[826] * vX_[835];
+ vX_[837] = vX_[826] * vX_[829];
+ vX_[838] = vX_[268] * vX_[826] + vX_[287] * vX_[829];
+ vX_[839] = vX_[827] + x_in[28];
+ vX_[840] = vX_[838] * vX_[839];
+ vX_[841] = vX_[839] * vX_[839];
+ vX_[842] = vX_[240] * vX_[826] + vX_[268] * vX_[829];
+ vX_[843] = vX_[842] * vX_[842];
+ vX_[844] = vX_[244] * vX_[842] + vX_[241] * vX_[838];
+ vX_[845] = -0.207 * vX_[318];
+ vX_[846] = vX_[321] * x_in[20] + vX_[319] * x_in[19] + vX_[845] * x_in[18] + vX_[318] * x_in[23] + vX_[239] * x_in[22];
+ vX_[847] = 0.08 * vX_[829] + vX_[846];
+ vX_[848] = -0.35 * vX_[838] + vX_[847];
+ vX_[849] = vX_[839] + x_in[29];
+ vX_[850] = 0 - vX_[240];
+ vX_[851] = 0 - vX_[267];
+ vX_[852] = 0.08 * vX_[240];
+ vX_[853] = vX_[850] * vX_[835] + vX_[851] * vX_[833] + vX_[852] * vX_[827];
+ vX_[854] = 0 - vX_[243];
+ vX_[267] = 0 - vX_[267];
+ vX_[855] = vX_[267] * vX_[835] + vX_[240] * vX_[833] + vX_[289] * vX_[827];
+ vX_[856] = 0.35 * vX_[241];
+ vX_[857] = vX_[241] * vX_[853] + vX_[854] * vX_[855] + vX_[856] * vX_[839];
+ vX_[858] = vX_[844] * vX_[848] - vX_[849] * vX_[857];
+ vX_[859] = vX_[857] * x_in[29];
+ vX_[860] = vX_[241] * vX_[842] + vX_[243] * vX_[838];
+ vX_[861] = 0 - vX_[860];
+ vX_[862] = vX_[861] * x_in[29];
+ vX_[863] = vX_[243] * vX_[853] + vX_[241] * vX_[855] + vX_[246] * vX_[839];
+ vX_[864] = vX_[860] * vX_[857] - vX_[844] * vX_[863];
+ vX_[865] = vX_[860] * vX_[849];
+ vX_[866] = -8.81e-05 * vX_[858] + -8.81e-05 * vX_[859] + 0.026409 * vX_[862] - 0.1104774 * vX_[864] - 0.025713 * vX_[865];
+ vX_[867] = vX_[860] * vX_[848];
+ vX_[868] = vX_[849] * vX_[863];
+ vX_[869] = vX_[844] * vX_[849];
+ vX_[870] = 0 - vX_[863];
+ vX_[871] = vX_[870] * x_in[29];
+ vX_[872] = vX_[844] * x_in[29];
+ vX_[873] = 0.0004405 * vX_[864] + -8.81e-05 * (vX_[867] - vX_[868]) + -0.000227999999999999 * vX_[869] + 8.81e-05 * vX_[871] + 0.000468 * vX_[872];
+ vX_[874] = vX_[844] * vX_[844];
+ vX_[875] = vX_[860] * vX_[860];
+ vX_[864] = 0.881 * vX_[864] + 0.1104774 * vX_[865] + 0.0004405 * vX_[869] + -0.1104774 * vX_[862] + 0.0004405 * vX_[872] - -8.81e-05 * (vX_[874] + vX_[875]);
+ vX_[876] = 0 - vX_[842];
+ vX_[877] = vX_[876] * x_in[28];
+ vX_[878] = vX_[838] * x_in[28];
+ vX_[879] = 0 - vX_[855];
+ vX_[880] = vX_[879] * x_in[28];
+ vX_[881] = vX_[853] * x_in[28];
+ vX_[882] = vX_[839] * vX_[855];
+ vX_[883] = vX_[842] * vX_[847];
+ vX_[884] = vX_[842] * vX_[838];
+ vX_[885] = vX_[842] * vX_[839];
+ vX_[886] = vX_[860] * vX_[844];
+ vX_[887] = 0.1104774 * (vX_[868] - vX_[867]) + 0.025941 * vX_[886] - 0.0004405 * vX_[858];
+ vX_[888] = x_in[41] - vX_[887];
+ vX_[889] = vX_[849] * vX_[849];
+ vX_[875] = -0.881 * (vX_[867] - vX_[868]) + 0.1104774 * vX_[886] + -8.81e-05 * vX_[869] + 0.414812462825713 * vX_[871] + 0.00185880198235362 * vX_[859] + 8.81e-05 * vX_[872] + (0.1104774 * vX_[888]) / 0.026181 - 0.0004405 * (vX_[889] + vX_[875]);
+ vX_[889] = 0.881 * vX_[858] + -8.81e-05 * vX_[865] + 0.0004405 * vX_[886] + 0.00185880198235362 * vX_[871] + 0.880992588508842 * vX_[859] + -8.81e-05 * vX_[862] + (-0.0004405 * vX_[888]) / 0.026181 - 0.1104774 * (vX_[889] + vX_[874]);
+ vX_[886] = vX_[838] * vX_[847] - vX_[839] * vX_[853];
+ vX_[874] = vX_[838] * vX_[838];
+ vX_[888] = 0.47422804 * (vX_[882] - vX_[883]) + 0.081641 * vX_[884] + 2.1e-05 * vX_[885] + (0.026181 * vX_[888]) / 0.026181 + vX_[887] + vX_[856] * vX_[875] + vX_[246] * vX_[889] - -0.0825825 * vX_[886] - 0.000102 * vX_[840] - 0.007418 * (vX_[874] - vX_[843]);
+ vX_[887] = x_in[40] - vX_[888];
+ vX_[871] = (vX_[271] * vX_[887]) / vX_[264];
+ vX_[865] = vX_[842] * vX_[853] - vX_[838] * vX_[855];
+ vX_[862] = 0.007418 * vX_[840] + 0.000102 * (vX_[841] - vX_[843]) + vX_[241] * vX_[866] + vX_[243] * vX_[873] + -0.35 * vX_[864] + vX_[294] * vX_[877] + vX_[286] * vX_[878] + vX_[272] * vX_[880] + vX_[278] * vX_[881] + vX_[871] - 0.47422804 * vX_[865] - 0.084376 * vX_[885] - 2.1e-05 * vX_[884];
+ vX_[859] = (vX_[252] * vX_[887]) / vX_[264];
+ vX_[858] = 0.002735 * vX_[840] + -0.0825825 * vX_[865] + 0.000102 * vX_[884] + vX_[244] * vX_[866] + vX_[241] * vX_[873] + vX_[286] * vX_[877] + vX_[293] * vX_[878] + vX_[266] * vX_[880] + vX_[277] * vX_[881] + vX_[859] - 0.007418 * vX_[885] - 2.1e-05 * (vX_[841] - vX_[874]);
+ vX_[865] = 0.47422804 * vX_[885] + 3.146 * vX_[865] + -0.0825825 * vX_[840] + vX_[864] + vX_[261] * vX_[877] + vX_[274] * vX_[878];
+ vX_[885] = vX_[827] * vX_[829];
+ vX_[864] = vX_[827] * vX_[827];
+ vX_[840] = vX_[826] * vX_[826];
+ vX_[872] = 0.009466 * vX_[828] + 0.1466472 * (vX_[834] - vX_[836]) + -5.1e-05 * vX_[837] + vX_[287] * vX_[862] + vX_[268] * vX_[858] + 0.08 * vX_[865] - 0.022734 * vX_[885] - 3.6e-05 * (vX_[864] - vX_[840]);
+ vX_[869] = x_in[39] - vX_[872];
+ vX_[868] = (vX_[314] * vX_[869]) / vX_[314];
+ vX_[867] = 0 - vX_[826];
+ vX_[890] = vX_[867] * x_in[27];
+ vX_[891] = vX_[827] * x_in[27];
+ vX_[892] = 0 - vX_[833];
+ vX_[893] = vX_[892] * x_in[27];
+ vX_[894] = vX_[846] * x_in[27];
+ vX_[895] = (vX_[327] * vX_[869]) / vX_[314];
+ vX_[865] = 0.1466472 * vX_[828] + -3.44 * (vX_[836] - vX_[834]) + -0.5824264 * vX_[885] + vX_[865] + vX_[351] * vX_[890] + vX_[341] * vX_[891] + vX_[343] * vX_[893] + vX_[329] * vX_[894] + vX_[895];
+ vX_[896] = vX_[827] * vX_[835] - vX_[829] * vX_[846];
+ vX_[897] = (vX_[262] * vX_[887]) / vX_[264];
+ vX_[883] = -3.146 * (vX_[883] - vX_[882]) + 0.47422804 * vX_[884] + vX_[241] * vX_[875] + vX_[243] * vX_[889] + vX_[272] * vX_[877] + vX_[266] * vX_[878] + vX_[298] * vX_[880] + vX_[300] * vX_[881] + vX_[897] - -0.0825825 * (vX_[841] + vX_[843]);
+ vX_[882] = (vX_[275] * vX_[887]) / vX_[264];
+ vX_[874] = 3.146 * vX_[886] + -0.0825825 * vX_[884] + vX_[854] * vX_[875] + vX_[241] * vX_[889] + vX_[278] * vX_[877] + vX_[277] * vX_[878] + vX_[300] * vX_[880] + vX_[299] * vX_[881] + vX_[882] - 0.47422804 * (vX_[841] + vX_[874]);
+ vX_[886] = (vX_[312] * vX_[869]) / vX_[314];
+ vX_[884] = vX_[829] * vX_[829];
+ vX_[841] = 3.44 * vX_[896] + -0.5824264 * vX_[837] + vX_[851] * vX_[883] + vX_[240] * vX_[874] + vX_[340] * vX_[890] + vX_[316] * vX_[891] + vX_[329] * vX_[893] + vX_[355] * vX_[894] + vX_[886] - 0.1466472 * (vX_[884] + vX_[864]);
+ vX_[843] = (vX_[435] * vX_[673]) / vX_[435];
+ vX_[898] = x_in[18] * x_in[20];
+ vX_[899] = x_in[20] * x_in[20];
+ vX_[900] = x_in[19] * x_in[19];
+ vX_[872] = (-0.0053433 * vX_[126] + 2.0678571 * (vX_[238] - vX_[358]) + 0.473273 * vX_[585] + 0.190812 * vX_[660] + vX_[726] + vX_[730] + vX_[703] * vX_[723] + vX_[85] * vX_[699] + vX_[701] * vX_[796] + vX_[196] * vX_[805] + -1 * (vX_[811] + vX_[806]) + vX_[868] + vX_[872] + vX_[845] * vX_[865] + vX_[317] * vX_[841] + vX_[596] * vX_[666] + vX_[438] * vX_[578] + -1 * (vX_[675] + vX_[843]) - -0.00571 * vX_[898] - 0.012668 * (vX_[899] - vX_[900])) / vX_[573];
+ vX_[811] = 0.207 * vX_[577];
+ vX_[730] = vX_[441] * vX_[582] + vX_[589] * vX_[442] + vX_[360] * vX_[581] + vX_[576] * vX_[443];
+ vX_[675] = vX_[811] * vX_[476] - vX_[730] * vX_[459];
+ vX_[901] = vX_[811] * vX_[459] - vX_[730] * vX_[477];
+ vX_[902] = -1 * vX_[605];
+ vX_[903] = vX_[902] * vX_[477] - vX_[811] * vX_[451];
+ vX_[904] = vX_[902] * vX_[451] - vX_[811] * vX_[465];
+ vX_[905] = vX_[528] * vX_[902] + vX_[903] * vX_[439] - (vX_[529] * vX_[811] + vX_[904] * vX_[464]);
+ vX_[527] = vX_[523] * vX_[811] + vX_[526] * vX_[811] + vX_[675] * vX_[464] - vX_[527] * vX_[730] - (vX_[478] * vX_[730] + vX_[901] * vX_[444]) - vX_[905];
+ vX_[523] = vX_[730] * vX_[465] - vX_[902] * vX_[466];
+ vX_[906] = vX_[730] * vX_[466] - vX_[902] * vX_[476];
+ vX_[534] = vX_[532] * vX_[730] + vX_[467] * vX_[730] + vX_[523] * vX_[444] - vX_[534] * vX_[902] - (vX_[535] * vX_[902] + vX_[906] * vX_[439]) - vX_[905];
+ vX_[532] = vX_[730] * vX_[451];
+ vX_[907] = vX_[902] * vX_[459];
+ vX_[908] = vX_[532] - vX_[907];
+ vX_[730] = vX_[473] * vX_[730] + vX_[424] * vX_[811] + vX_[535] * vX_[811] + vX_[906] * vX_[464] - vX_[437] * vX_[730] - vX_[448] * vX_[902] - (vX_[461] * vX_[730] + vX_[908] * vX_[444]);
+ vX_[909] = vX_[360] * vX_[730] + vX_[576] * vX_[566];
+ vX_[569] = vX_[568] * vX_[589] + (vX_[441] * vX_[534] + vX_[589] * vX_[536] + vX_[909]) * vX_[441] + vX_[569] * vX_[576] + (vX_[441] * vX_[730] + vX_[589] * vX_[566] + vX_[360] * vX_[527] + vX_[576] * vX_[531]) * vX_[360];
+ vX_[730] = vX_[360] * vX_[534] + vX_[576] * vX_[536] + vX_[440] * vX_[730] + vX_[577] * vX_[566];
+ vX_[909] = vX_[909] + vX_[440] * vX_[527] + vX_[577] * vX_[531];
+ vX_[531] = vX_[571] * vX_[576] + vX_[730] * vX_[360] + vX_[567] * vX_[577] + vX_[909] * vX_[440];
+ vX_[534] = vX_[527] + vX_[534] + vX_[905] - vX_[569] - vX_[531];
+ vX_[654] = (vX_[596] * vX_[626] + vX_[583] * vX_[666] + vX_[438] * vX_[638] + vX_[605] * vX_[578] + -1 * (vX_[654] + (vX_[435] * vX_[653]) / vX_[435]) - vX_[872] * vX_[534]) / vX_[573];
+ vX_[527] = vX_[811] * vX_[466];
+ vX_[532] = vX_[527] - vX_[532];
+ vX_[566] = vX_[473] * vX_[811] + vX_[452] * vX_[811] + vX_[532] * vX_[464] - vX_[462] * vX_[902] - (vX_[478] * vX_[902] + vX_[901] * vX_[439]);
+ vX_[902] = vX_[437] * vX_[902] + vX_[461] * vX_[902] + vX_[908] * vX_[439] - vX_[463] * vX_[811] - (vX_[467] * vX_[811] + vX_[523] * vX_[464]);
+ vX_[811] = vX_[360] * vX_[566] + vX_[576] * vX_[479] + vX_[440] * vX_[902] + vX_[577] * vX_[468];
+ vX_[536] = x_in[19] * x_in[23] - x_in[20] * x_in[22];
+ vX_[568] = x_in[18] * x_in[18];
+ vX_[910] = (vX_[17] * vX_[745]) / vX_[17];
+ vX_[911] = (vX_[118] * vX_[727]) / vX_[82];
+ vX_[912] = vX_[659] * vX_[704] - vX_[587] * vX_[645];
+ vX_[754] = 0.5824264 * vX_[754] + -3.6e-05 * vX_[743] + -0.022734 * (vX_[742] - vX_[698]) + vX_[910] + vX_[746] + vX_[710] * vX_[741] + vX_[57] * vX_[732] + vX_[483] * vX_[748] + vX_[538] * vX_[749] + vX_[119] * vX_[751] + vX_[108] * vX_[752] + vX_[911] - 0.1466472 * vX_[912] - -0.123672 * vX_[695] - -5.1e-05 * vX_[591];
+ vX_[746] = (vX_[77] * vX_[727]) / vX_[82];
+ vX_[742] = -0.133138 * vX_[743] + 0.5824264 * (vX_[694] - vX_[692]) + -0.022734 * vX_[591] + vX_[38] * vX_[720] + vX_[33] * vX_[716] + vX_[538] * vX_[748] + vX_[81] * vX_[749] + vX_[109] * vX_[751] + vX_[84] * vX_[752] + vX_[746] - -3.6e-05 * vX_[695] - -5.1e-05 * (vX_[742] - vX_[722]);
+ vX_[743] = (vX_[146] * vX_[816]) / vX_[146];
+ vX_[694] = (vX_[230] * vX_[822]) / vX_[193];
+ vX_[692] = vX_[756] * vX_[802] - vX_[757] * vX_[766];
+ vX_[824] = -0.5824264 * vX_[824] + 3.6e-05 * vX_[768] + 0.022734 * (vX_[810] - vX_[771]) + vX_[773] * vX_[809] + vX_[167] * vX_[819] + -1 * (vX_[817] + vX_[743]) + vX_[497] * vX_[798] + vX_[547] * vX_[799] + vX_[231] * vX_[801] + vX_[220] * vX_[803] + vX_[694] - 0.1466472 * vX_[692] - -0.123672 * vX_[804] - -5.1e-05 * vX_[758];
+ vX_[817] = (vX_[188] * vX_[822]) / vX_[193];
+ vX_[810] = -0.133138 * vX_[768] + -0.5824264 * (vX_[760] - vX_[767]) + 0.022734 * vX_[758] + vX_[150] * vX_[792] + vX_[129] * vX_[778] + vX_[547] * vX_[798] + vX_[192] * vX_[799] + vX_[221] * vX_[801] + vX_[195] * vX_[803] + vX_[817] - 3.6e-05 * vX_[804] - -5.1e-05 * (vX_[810] - vX_[777]);
+ vX_[768] = (vX_[264] * vX_[887]) / vX_[264];
+ vX_[767] = (vX_[350] * vX_[869]) / vX_[314];
+ vX_[760] = vX_[826] * vX_[846] - vX_[827] * vX_[833];
+ vX_[896] = -0.5824264 * vX_[896] + 3.6e-05 * vX_[885] + 0.022734 * (vX_[884] - vX_[840]) + vX_[768] + vX_[888] + vX_[852] * vX_[883] + vX_[289] * vX_[874] + vX_[511] * vX_[890] + vX_[556] * vX_[891] + vX_[351] * vX_[893] + vX_[340] * vX_[894] + vX_[767] - 0.1466472 * vX_[760] - -0.123672 * vX_[837] - -5.1e-05 * vX_[828];
+ vX_[888] = (vX_[309] * vX_[869]) / vX_[314];
+ vX_[884] = -0.133138 * vX_[885] + -0.5824264 * (vX_[836] - vX_[834]) + 0.022734 * vX_[828] + vX_[268] * vX_[862] + vX_[240] * vX_[858] + vX_[556] * vX_[890] + vX_[313] * vX_[891] + vX_[341] * vX_[893] + vX_[316] * vX_[894] + vX_[888] - 3.6e-05 * vX_[837] - -5.1e-05 * (vX_[884] - vX_[864]);
+ vX_[570] = 5.5837 + vX_[488] + vX_[543] + vX_[502] + vX_[552] + vX_[516] + vX_[561] + vX_[530] + vX_[570] - vX_[689] * vX_[688];
+ vX_[561] = (2.0678571 * vX_[536] + -0.00571 * vX_[585] + 0.190812 * (vX_[899] - vX_[568]) + vX_[24] * vX_[754] + vX_[86] * vX_[742] + vX_[87] * vX_[723] + vX_[608] * vX_[699] + vX_[128] * vX_[824] + vX_[199] * vX_[810] + vX_[200] * vX_[796] + vX_[763] * vX_[805] + vX_[239] * vX_[896] + vX_[318] * vX_[884] + vX_[319] * vX_[865] + vX_[831] * vX_[841] + vX_[360] * vX_[631] + vX_[441] * vX_[621] + vX_[442] * vX_[666] + vX_[611] * vX_[578] - -1.1915559 * vX_[126] - 4.847485 * vX_[898] - 0.012668 * vX_[660] - vX_[689] * vX_[872]) / vX_[570];
+ vX_[552] = (vX_[811] - vX_[688] * vX_[534]) / vX_[573];
+ vX_[569] = vX_[905] + vX_[569] - (vX_[689] * vX_[552] + vX_[811] * vX_[688]);
+ vX_[543] = (vX_[360] * vX_[642] + vX_[576] * vX_[631] + vX_[441] * vX_[630] + vX_[589] * vX_[621] + vX_[442] * vX_[626] + vX_[582] * vX_[666] + vX_[611] * vX_[638] + vX_[604] * vX_[578] - (vX_[689] * vX_[654] + vX_[811] * vX_[872]) - vX_[561] * vX_[569]) / vX_[570];
+ vX_[909] = vX_[571] * vX_[589] + vX_[730] * vX_[441] + vX_[567] * vX_[576] + vX_[909] * vX_[360];
+ vX_[902] = 0 - (vX_[360] * vX_[902] + vX_[576] * vX_[468]) - (vX_[441] * vX_[566] + vX_[589] * vX_[479]);
+ vX_[566] = vX_[909] - (vX_[480] * vX_[552] + vX_[902] * vX_[688]);
+ vX_[479] = (vX_[103] * vX_[727]) / vX_[82];
+ vX_[912] = 3.44 * vX_[912] + 0.1466472 * vX_[695] + vX_[708] * vX_[741] + vX_[10] * vX_[732] + vX_[94] * vX_[748] + vX_[71] * vX_[749] + vX_[112] * vX_[751] + vX_[105] * vX_[752] + vX_[479] - 0.5824264 * (vX_[722] + vX_[698]);
+ vX_[698] = (vX_[215] * vX_[822]) / vX_[193];
+ vX_[692] = 3.44 * vX_[692] + 0.1466472 * vX_[804] + vX_[129] * vX_[809] + vX_[149] * vX_[819] + vX_[206] * vX_[798] + vX_[182] * vX_[799] + vX_[224] * vX_[801] + vX_[217] * vX_[803] + vX_[698] - -0.5824264 * (vX_[777] + vX_[771]);
+ vX_[771] = (vX_[335] * vX_[869]) / vX_[314];
+ vX_[760] = 3.44 * vX_[760] + 0.1466472 * vX_[837] + vX_[850] * vX_[883] + vX_[267] * vX_[874] + vX_[326] * vX_[890] + vX_[303] * vX_[891] + vX_[344] * vX_[893] + vX_[337] * vX_[894] + vX_[771] - -0.5824264 * (vX_[864] + vX_[840]);
+ vX_[840] = (vX_[457] * vX_[673]) / vX_[435];
+ vX_[618] = 3.44 * vX_[618] + 0.1466472 * vX_[690] + vX_[361] * vX_[655] + vX_[388] * vX_[674] + vX_[448] * vX_[682] + vX_[424] * vX_[683] + vX_[466] * vX_[685] + vX_[459] * vX_[686] + vX_[840] - 0.5824264 * (vX_[691] + vX_[620]);
+ vX_[586] = (0.012668 + vX_[590] + vX_[594] + vX_[615] + vX_[586] - vX_[689] * vX_[574]) / vX_[570];
+ vX_[572] = 6.056973 + vX_[488] + vX_[545] + vX_[502] + vX_[554] + vX_[516] + vX_[563] + vX_[530] + vX_[572] - vX_[687] * vX_[586] - vX_[480] * vX_[574];
+ vX_[563] = (-1.1915559 * (vX_[358] - vX_[238]) + 4.374212 * vX_[660] + 0.012668 * vX_[898] + vX_[86] * vX_[754] + vX_[88] * vX_[742] + 0.207 * vX_[912] + vX_[89] * vX_[723] + vX_[649] * vX_[699] + vX_[198] * vX_[824] + vX_[128] * vX_[810] + 0.207 * vX_[692] + vX_[201] * vX_[796] + vX_[762] * vX_[805] + vX_[318] * vX_[896] + vX_[320] * vX_[884] + 0.207 * vX_[760] + vX_[321] * vX_[865] + vX_[830] * vX_[841] + vX_[440] * vX_[631] + vX_[360] * vX_[621] + 0.207 * vX_[618] + vX_[443] * vX_[666] + vX_[610] * vX_[578] - -0.0053433 * vX_[536] - 0.190812 * vX_[585] - -0.00571 * (vX_[900] - vX_[568]) - vX_[687] * vX_[561] - vX_[480] * vX_[872]) / vX_[572];
+ vX_[554] = (vX_[902] - vX_[574] * vX_[534]) / vX_[573];
+ vX_[909] = (vX_[909] - (vX_[689] * vX_[554] + vX_[811] * vX_[574]) - vX_[586] * vX_[569]) / vX_[570];
+ vX_[531] = vX_[905] + vX_[531] - (vX_[687] * vX_[909] + vX_[566] * vX_[586]) - (vX_[480] * vX_[554] + vX_[902] * vX_[574]);
+ vX_[621] = (vX_[440] * vX_[642] + vX_[577] * vX_[631] + vX_[360] * vX_[630] + vX_[576] * vX_[621] + 0.207 * vX_[607] + vX_[443] * vX_[626] + vX_[581] * vX_[666] + vX_[610] * vX_[638] + vX_[603] * vX_[578] - (vX_[687] * vX_[543] + vX_[566] * vX_[561]) - (vX_[480] * vX_[654] + vX_[902] * vX_[872]) - vX_[563] * vX_[531]) / vX_[572];
+ vX_[120] = vX_[106] - vX_[120];
+ vX_[106] = vX_[84] + vX_[107] - vX_[120];
+ vX_[630] = vX_[124] + vX_[108];
+ vX_[631] = vX_[88] * vX_[106] + vX_[86] * vX_[630];
+ vX_[642] = vX_[113] + vX_[109];
+ vX_[905] = vX_[119] + vX_[98] - vX_[120];
+ vX_[545] = vX_[88] * vX_[642] + vX_[86] * vX_[905];
+ vX_[530] = vX_[631] * vX_[86] + vX_[545] * vX_[24];
+ vX_[232] = vX_[218] - vX_[232];
+ vX_[218] = vX_[195] + vX_[219] - vX_[232];
+ vX_[516] = vX_[236] + vX_[220];
+ vX_[502] = vX_[128] * vX_[218] + vX_[198] * vX_[516];
+ vX_[488] = vX_[225] + vX_[221];
+ vX_[615] = vX_[231] + vX_[210] - vX_[232];
+ vX_[594] = vX_[128] * vX_[488] + vX_[198] * vX_[615];
+ vX_[590] = vX_[502] * vX_[199] + vX_[594] * vX_[128];
+ vX_[352] = vX_[338] - vX_[352];
+ vX_[338] = vX_[316] + vX_[339] - vX_[352];
+ vX_[691] = vX_[356] + vX_[340];
+ vX_[690] = vX_[320] * vX_[338] + vX_[318] * vX_[691];
+ vX_[620] = vX_[345] + vX_[341];
+ vX_[864] = vX_[351] + vX_[330] - vX_[352];
+ vX_[837] = vX_[320] * vX_[620] + vX_[318] * vX_[864];
+ vX_[777] = vX_[690] * vX_[318] + vX_[837] * vX_[239];
+ vX_[474] = vX_[460] - vX_[474];
+ vX_[461] = vX_[437] + vX_[461] - vX_[474];
+ vX_[478] = vX_[478] + vX_[462];
+ vX_[460] = vX_[360] * vX_[461] + vX_[440] * vX_[478];
+ vX_[467] = vX_[467] + vX_[463];
+ vX_[452] = vX_[473] + vX_[452] - vX_[474];
+ vX_[804] = vX_[360] * vX_[467] + vX_[440] * vX_[452];
+ vX_[722] = vX_[460] * vX_[441] + vX_[804] * vX_[360];
+ vX_[695] = vX_[199] * vX_[488] + vX_[128] * vX_[615];
+ vX_[468] = vX_[199] * vX_[218] + vX_[128] * vX_[516];
+ vX_[730] = vX_[695] * vX_[128] + vX_[468] * vX_[199] + vX_[232];
+ vX_[567] = vX_[86] * vX_[642] + vX_[24] * vX_[905];
+ vX_[571] = vX_[86] * vX_[106] + vX_[24] * vX_[630];
+ vX_[885] = vX_[567] * vX_[24] + vX_[571] * vX_[86] + vX_[120];
+ vX_[836] = vX_[318] * vX_[620] + vX_[239] * vX_[864];
+ vX_[834] = vX_[318] * vX_[338] + vX_[239] * vX_[691];
+ vX_[828] = vX_[836] * vX_[239] + vX_[834] * vX_[318] + vX_[352];
+ vX_[758] = vX_[441] * vX_[467] + vX_[360] * vX_[452];
+ vX_[591] = vX_[441] * vX_[461] + vX_[360] * vX_[478];
+ vX_[913] = vX_[758] * vX_[360] + vX_[591] * vX_[441] + vX_[474];
+ vX_[914] = vX_[484] + vX_[94];
+ vX_[915] = vX_[487] + vX_[914];
+ vX_[916] = vX_[493] + vX_[71];
+ vX_[917] = vX_[486] + vX_[916];
+ vX_[914] = 0 - vX_[914];
+ vX_[918] = vX_[88] * vX_[914] + vX_[86] * vX_[916];
+ vX_[919] = vX_[915] * vX_[24] + vX_[917] * vX_[86] - vX_[918];
+ vX_[920] = vX_[498] + vX_[206];
+ vX_[921] = -1 * (vX_[501] + vX_[920]);
+ vX_[922] = vX_[507] + vX_[182];
+ vX_[923] = -1 * (vX_[500] + vX_[922]);
+ vX_[920] = 0 - vX_[920];
+ vX_[924] = vX_[128] * vX_[920] + vX_[198] * vX_[922];
+ vX_[925] = vX_[921] * vX_[128] + vX_[923] * vX_[199] - vX_[924];
+ vX_[926] = vX_[512] + vX_[326];
+ vX_[927] = vX_[515] + vX_[926];
+ vX_[928] = vX_[521] + vX_[303];
+ vX_[929] = vX_[514] + vX_[928];
+ vX_[926] = 0 - vX_[926];
+ vX_[930] = vX_[320] * vX_[926] + vX_[318] * vX_[928];
+ vX_[931] = vX_[927] * vX_[239] + vX_[929] * vX_[318] - vX_[930];
+ vX_[526] = vX_[526] + vX_[448];
+ vX_[529] = -1 * (vX_[529] + vX_[526]);
+ vX_[535] = vX_[535] + vX_[424];
+ vX_[528] = -1 * (vX_[528] + vX_[535]);
+ vX_[526] = 0 - vX_[526];
+ vX_[932] = vX_[360] * vX_[526] + vX_[440] * vX_[535];
+ vX_[933] = vX_[529] * vX_[360] + vX_[528] * vX_[441] - vX_[932];
+ vX_[934] = (-2.0678571 + vX_[919] + vX_[925] + vX_[931] + vX_[933]) / vX_[573];
+ vX_[935] = (vX_[730] + vX_[885] + vX_[828] + vX_[913] - vX_[689] * vX_[934]) / vX_[570];
+ vX_[936] = (-1.1915559 + vX_[530] + vX_[590] + vX_[777] + vX_[722] - vX_[687] * vX_[935] - vX_[480] * vX_[934]) / vX_[572];
+ vX_[933] = -2.0678571 + vX_[919] + vX_[925] + vX_[931] + vX_[933];
+ vX_[913] = vX_[730] + vX_[885] + vX_[828] + vX_[913] - vX_[933] * vX_[688];
+ vX_[527] = vX_[907] - vX_[527];
+ vX_[532] = vX_[532] - vX_[527];
+ vX_[907] = vX_[441] * vX_[523] + vX_[589] * vX_[467] + vX_[360] * vX_[532] + vX_[576] * vX_[452];
+ vX_[908] = vX_[908] - vX_[527];
+ vX_[828] = vX_[441] * vX_[908] + vX_[589] * vX_[461] + vX_[360] * vX_[901] + vX_[576] * vX_[478];
+ vX_[885] = vX_[758] * vX_[576] + vX_[907] * vX_[360] + vX_[591] * vX_[589] + vX_[828] * vX_[441] + vX_[527];
+ vX_[904] = -1 * (vX_[904] + vX_[675]);
+ vX_[903] = -1 * (vX_[903] + vX_[906]);
+ vX_[675] = - vX_[675];
+ vX_[730] = vX_[360] * vX_[675] + vX_[576] * vX_[526] + vX_[440] * vX_[906] + vX_[577] * vX_[535];
+ vX_[931] = vX_[529] * vX_[576] + vX_[904] * vX_[360] + vX_[528] * vX_[589] + vX_[903] * vX_[441] - vX_[730];
+ vX_[925] = vX_[885] - (vX_[933] * vX_[552] + vX_[931] * vX_[688]);
+ vX_[722] = -1.1915559 + vX_[530] + vX_[590] + vX_[777] + vX_[722] - vX_[913] * vX_[586] - vX_[933] * vX_[574];
+ vX_[908] = vX_[360] * vX_[908] + vX_[576] * vX_[461] + vX_[440] * vX_[901] + vX_[577] * vX_[478];
+ vX_[532] = vX_[360] * vX_[523] + vX_[576] * vX_[467] + vX_[440] * vX_[532] + vX_[577] * vX_[452];
+ vX_[452] = vX_[460] * vX_[589] + vX_[908] * vX_[441] + vX_[804] * vX_[576] + vX_[532] * vX_[360];
+ vX_[467] = vX_[452] - (vX_[913] * vX_[909] + vX_[925] * vX_[586]) - (vX_[933] * vX_[554] + vX_[931] * vX_[574]);
+ vX_[523] = 0 - vX_[224];
+ vX_[478] = vX_[128] * vX_[523] + vX_[198] * vX_[217];
+ vX_[461] = 0 - vX_[112];
+ vX_[901] = vX_[88] * vX_[461] + vX_[86] * vX_[105];
+ vX_[777] = 0 - vX_[344];
+ vX_[590] = vX_[320] * vX_[777] + vX_[318] * vX_[337];
+ vX_[530] = 0 - vX_[466];
+ vX_[919] = vX_[360] * vX_[530] + vX_[440] * vX_[459];
+ vX_[937] = (vX_[232] + vX_[120] + vX_[352] + vX_[474]) / vX_[573];
+ vX_[938] = (2.0678571 + vX_[918] + vX_[924] + vX_[930] + vX_[932] - vX_[689] * vX_[937]) / vX_[570];
+ vX_[939] = vX_[86] * vX_[914] + vX_[24] * vX_[916];
+ vX_[940] = 0 - vX_[939];
+ vX_[941] = vX_[199] * vX_[920] + vX_[128] * vX_[922];
+ vX_[942] = 0 - vX_[941];
+ vX_[943] = vX_[318] * vX_[926] + vX_[239] * vX_[928];
+ vX_[944] = 0 - vX_[943];
+ vX_[945] = vX_[441] * vX_[526] + vX_[360] * vX_[535];
+ vX_[946] = 0 - vX_[945];
+ vX_[947] = (0.0053433 + vX_[940] + vX_[942] + vX_[944] + vX_[946] - vX_[687] * vX_[938] - vX_[480] * vX_[937]) / vX_[572];
+ vX_[948] = vX_[478] + vX_[901] + vX_[590] + vX_[919] - vX_[913] * vX_[938] - vX_[933] * vX_[937] - vX_[722] * vX_[947];
+ vX_[949] = vX_[232] + vX_[120] + vX_[352] + vX_[474];
+ vX_[932] = 2.0678571 + vX_[918] + vX_[924] + vX_[930] + vX_[932] - vX_[949] * vX_[688];
+ vX_[930] = vX_[730] - (vX_[949] * vX_[552] + vX_[527] * vX_[688]);
+ vX_[946] = 0.0053433 + vX_[940] + vX_[942] + vX_[944] + vX_[946] - vX_[932] * vX_[586] - vX_[949] * vX_[574];
+ vX_[675] = vX_[441] * vX_[675] + vX_[589] * vX_[526] + vX_[360] * vX_[906] + vX_[576] * vX_[535];
+ vX_[526] = - vX_[675];
+ vX_[535] = vX_[526] - (vX_[932] * vX_[909] + vX_[930] * vX_[586]) - (vX_[949] * vX_[554] + vX_[527] * vX_[574]);
+ vX_[906] = vX_[111] - vX_[122];
+ vX_[944] = vX_[123] - vX_[122];
+ vX_[942] = vX_[223] - vX_[234];
+ vX_[940] = vX_[235] - vX_[234];
+ vX_[924] = vX_[343] - vX_[354];
+ vX_[918] = vX_[355] - vX_[354];
+ vX_[950] = vX_[465] - vX_[476];
+ vX_[951] = vX_[477] - vX_[476];
+ vX_[952] = vX_[86] * vX_[944] + vX_[24] * vX_[97];
+ vX_[953] = vX_[86] * vX_[97];
+ vX_[954] = vX_[953] + vX_[24] * vX_[906];
+ vX_[955] = vX_[952] * vX_[86] + vX_[954] * vX_[24];
+ vX_[953] = vX_[88] * vX_[944] + vX_[953];
+ vX_[956] = vX_[88] * vX_[97] + vX_[86] * vX_[906];
+ vX_[957] = vX_[953] * vX_[88] + vX_[956] * vX_[86];
+ vX_[958] = vX_[128] * vX_[209];
+ vX_[959] = vX_[199] * vX_[940] + vX_[958];
+ vX_[960] = vX_[199] * vX_[209] + vX_[128] * vX_[942];
+ vX_[961] = vX_[959] * vX_[199] + vX_[960] * vX_[128];
+ vX_[962] = vX_[128] * vX_[940] + vX_[198] * vX_[209];
+ vX_[958] = vX_[958] + vX_[198] * vX_[942];
+ vX_[963] = vX_[962] * vX_[128] + vX_[958] * vX_[198];
+ vX_[964] = vX_[318] * vX_[918] + vX_[239] * vX_[329];
+ vX_[965] = vX_[318] * vX_[329];
+ vX_[966] = vX_[965] + vX_[239] * vX_[924];
+ vX_[967] = vX_[964] * vX_[318] + vX_[966] * vX_[239];
+ vX_[965] = vX_[320] * vX_[918] + vX_[965];
+ vX_[968] = vX_[320] * vX_[329] + vX_[318] * vX_[924];
+ vX_[969] = vX_[965] * vX_[320] + vX_[968] * vX_[318];
+ vX_[970] = vX_[360] * vX_[451];
+ vX_[971] = vX_[441] * vX_[951] + vX_[970];
+ vX_[972] = vX_[441] * vX_[451] + vX_[360] * vX_[950];
+ vX_[973] = vX_[971] * vX_[441] + vX_[972] * vX_[360];
+ vX_[974] = vX_[360] * vX_[951] + vX_[440] * vX_[451];
+ vX_[970] = vX_[970] + vX_[440] * vX_[950];
+ vX_[975] = vX_[974] * vX_[360] + vX_[970] * vX_[440];
+ vX_[976] = 53.433 + vX_[906] + vX_[944] + vX_[122] + vX_[942] + vX_[940] + vX_[234] + vX_[924] + vX_[918] + vX_[354] + vX_[950] + vX_[951] + vX_[476] - vX_[955] - vX_[957] - vX_[961] - vX_[963] - vX_[967] - vX_[969] - vX_[973] - vX_[975] - vX_[932] * vX_[938] - vX_[949] * vX_[937] - vX_[946] * vX_[947];
+ vX_[618] = (53.433 * vX_[536] + 2.0678571 * vX_[898] + -0.0053433 * vX_[660] + vX_[912] + -1 * vX_[692] + vX_[760] + -1 * vX_[618] - -1.1915559 * (vX_[899] + vX_[900]) - vX_[932] * vX_[561] - vX_[949] * vX_[872] - vX_[946] * vX_[563]) / vX_[976];
+ vX_[760] = vX_[576] * vX_[451];
+ vX_[972] = vX_[971] * vX_[589] + (vX_[589] * vX_[951] + vX_[760]) * vX_[441] + vX_[972] * vX_[576] + (vX_[589] * vX_[451] + vX_[576] * vX_[950]) * vX_[360];
+ vX_[951] = vX_[576] * vX_[951] + vX_[577] * vX_[451];
+ vX_[760] = vX_[760] + vX_[577] * vX_[950];
+ vX_[950] = vX_[974] * vX_[576] + vX_[951] * vX_[360] + vX_[970] * vX_[577] + vX_[760] * vX_[440];
+ vX_[971] = (vX_[527] - vX_[937] * vX_[534]) / vX_[573];
+ vX_[730] = (vX_[730] - (vX_[689] * vX_[971] + vX_[811] * vX_[937]) - vX_[938] * vX_[569]) / vX_[570];
+ vX_[526] = (vX_[526] - (vX_[687] * vX_[730] + vX_[566] * vX_[938]) - (vX_[480] * vX_[971] + vX_[902] * vX_[937]) - vX_[947] * vX_[531]) / vX_[572];
+ vX_[692] = 0 - vX_[972] - vX_[950] - (vX_[932] * vX_[730] + vX_[930] * vX_[938]) - (vX_[949] * vX_[971] + vX_[527] * vX_[937]) - (vX_[946] * vX_[526] + vX_[535] * vX_[947]);
+ vX_[607] = (-1 * vX_[607] - (vX_[932] * vX_[543] + vX_[930] * vX_[561]) - (vX_[949] * vX_[654] + vX_[527] * vX_[872]) - (vX_[946] * vX_[621] + vX_[535] * vX_[563]) - vX_[618] * vX_[692]) / vX_[976];
+ vX_[912] = vX_[576] * vX_[530] + vX_[577] * vX_[459];
+ vX_[536] = vX_[912] - (vX_[913] * vX_[730] + vX_[925] * vX_[938]) - (vX_[933] * vX_[971] + vX_[931] * vX_[937]) - (vX_[722] * vX_[526] + vX_[467] * vX_[947]);
+ vX_[919] = (vX_[478] + vX_[901] + vX_[590] + vX_[919] - vX_[932] * vX_[935] - vX_[949] * vX_[934] - vX_[946] * vX_[936]) / vX_[976];
+ vX_[973] = 53.433 + vX_[122] + vX_[955] + vX_[234] + vX_[961] + vX_[354] + vX_[967] + vX_[476] + vX_[973] - vX_[913] * vX_[935] - vX_[933] * vX_[934] - vX_[722] * vX_[936] - vX_[948] * vX_[919];
+ vX_[899] = (-53.433 * (vX_[238] - vX_[358]) + -1.1915559 * vX_[660] + 2.0678571 * vX_[585] + vX_[24] * vX_[723] + vX_[86] * vX_[699] + vX_[127] * vX_[796] + vX_[765] * vX_[805] + vX_[239] * vX_[865] + vX_[318] * vX_[841] + vX_[597] * vX_[666] + vX_[612] * vX_[578] - -0.0053433 * (vX_[899] + vX_[568]) - vX_[913] * vX_[561] - vX_[933] * vX_[872] - vX_[722] * vX_[563] - vX_[948] * vX_[618]) / vX_[973];
+ vX_[660] = (vX_[931] - vX_[934] * vX_[534]) / vX_[573];
+ vX_[885] = (vX_[885] - (vX_[689] * vX_[660] + vX_[811] * vX_[934]) - vX_[935] * vX_[569]) / vX_[570];
+ vX_[452] = (vX_[452] - (vX_[687] * vX_[885] + vX_[566] * vX_[935]) - (vX_[480] * vX_[660] + vX_[902] * vX_[934]) - vX_[936] * vX_[531]) / vX_[572];
+ vX_[912] = (vX_[912] - (vX_[932] * vX_[885] + vX_[930] * vX_[935]) - (vX_[949] * vX_[660] + vX_[527] * vX_[934]) - (vX_[946] * vX_[452] + vX_[535] * vX_[936]) - vX_[919] * vX_[692]) / vX_[976];
+ vX_[972] = vX_[972] - (vX_[913] * vX_[885] + vX_[925] * vX_[935]) - (vX_[933] * vX_[660] + vX_[931] * vX_[934]) - (vX_[722] * vX_[452] + vX_[467] * vX_[936]) - (vX_[948] * vX_[912] + vX_[536] * vX_[919]);
+ vX_[358] = (vX_[597] * vX_[626] + vX_[584] * vX_[666] + vX_[612] * vX_[638] + vX_[606] * vX_[578] - (vX_[913] * vX_[543] + vX_[925] * vX_[561]) - (vX_[933] * vX_[654] + vX_[931] * vX_[872]) - (vX_[722] * vX_[621] + vX_[467] * vX_[563]) - (vX_[948] * vX_[607] + vX_[536] * vX_[618]) - vX_[899] * vX_[972]) / vX_[973];
+ vX_[238] = vX_[962] * vX_[199] + vX_[958] * vX_[128];
+ vX_[967] = vX_[953] * vX_[86] + vX_[956] * vX_[24];
+ vX_[961] = vX_[965] * vX_[318] + vX_[968] * vX_[239];
+ vX_[955] = vX_[974] * vX_[441] + vX_[970] * vX_[360];
+ vX_[590] = vX_[571] * vX_[88] + vX_[567] * vX_[86];
+ vX_[901] = vX_[468] * vX_[128] + vX_[695] * vX_[198];
+ vX_[478] = vX_[834] * vX_[320] + vX_[836] * vX_[318];
+ vX_[977] = vX_[591] * vX_[360] + vX_[758] * vX_[440];
+ vX_[939] = vX_[915] * vX_[86] + vX_[917] * vX_[88] + vX_[939];
+ vX_[941] = vX_[921] * vX_[198] + vX_[923] * vX_[128] + vX_[941];
+ vX_[943] = vX_[927] * vX_[318] + vX_[929] * vX_[320] + vX_[943];
+ vX_[945] = vX_[529] * vX_[440] + vX_[528] * vX_[360] + vX_[945];
+ vX_[978] = (-0.0053433 + vX_[939] + vX_[941] + vX_[943] + vX_[945]) / vX_[573];
+ vX_[979] = (1.1915559 + vX_[590] + vX_[901] + vX_[478] + vX_[977] - vX_[689] * vX_[978]) / vX_[570];
+ vX_[232] = vX_[594] * vX_[198] + vX_[502] * vX_[128] + vX_[232];
+ vX_[120] = vX_[545] * vX_[86] + vX_[631] * vX_[88] + vX_[120];
+ vX_[352] = vX_[837] * vX_[318] + vX_[690] * vX_[320] + vX_[352];
+ vX_[474] = vX_[804] * vX_[440] + vX_[460] * vX_[360] + vX_[474];
+ vX_[980] = (vX_[232] + vX_[120] + vX_[352] + vX_[474] - vX_[687] * vX_[979] - vX_[480] * vX_[978]) / vX_[572];
+ vX_[981] = 0 - vX_[128] * vX_[217] - vX_[199] * vX_[523];
+ vX_[982] = 0 - vX_[24] * vX_[105] - vX_[86] * vX_[461];
+ vX_[983] = 0 - vX_[239] * vX_[337] - vX_[318] * vX_[777];
+ vX_[984] = 0 - vX_[360] * vX_[459] - vX_[441] * vX_[530];
+ vX_[985] = (vX_[981] + vX_[982] + vX_[983] + vX_[984] - vX_[932] * vX_[979] - vX_[949] * vX_[978] - vX_[946] * vX_[980]) / vX_[976];
+ vX_[986] = (vX_[238] + vX_[967] + vX_[961] + vX_[955] - vX_[913] * vX_[979] - vX_[933] * vX_[978] - vX_[722] * vX_[980] - vX_[948] * vX_[985]) / vX_[973];
+ vX_[945] = -0.0053433 + vX_[939] + vX_[941] + vX_[943] + vX_[945];
+ vX_[977] = 1.1915559 + vX_[590] + vX_[901] + vX_[478] + vX_[977] - vX_[945] * vX_[688];
+ vX_[828] = vX_[591] * vX_[576] + vX_[828] * vX_[360] + vX_[758] * vX_[577] + vX_[907] * vX_[440];
+ vX_[675] = vX_[529] * vX_[577] + vX_[904] * vX_[440] + vX_[528] * vX_[576] + vX_[903] * vX_[360] + vX_[675];
+ vX_[903] = vX_[828] - (vX_[945] * vX_[552] + vX_[675] * vX_[688]);
+ vX_[474] = vX_[232] + vX_[120] + vX_[352] + vX_[474] - vX_[977] * vX_[586] - vX_[945] * vX_[574];
+ vX_[532] = vX_[804] * vX_[577] + vX_[532] * vX_[440] + vX_[460] * vX_[576] + vX_[908] * vX_[360] + vX_[527];
+ vX_[908] = vX_[532] - (vX_[977] * vX_[909] + vX_[903] * vX_[586]) - (vX_[945] * vX_[554] + vX_[675] * vX_[574]);
+ vX_[984] = vX_[981] + vX_[982] + vX_[983] + vX_[984] - vX_[977] * vX_[938] - vX_[945] * vX_[937] - vX_[474] * vX_[947];
+ vX_[530] = 0 - vX_[576] * vX_[459] - vX_[589] * vX_[530];
+ vX_[983] = vX_[530] - (vX_[977] * vX_[730] + vX_[903] * vX_[938]) - (vX_[945] * vX_[971] + vX_[675] * vX_[937]) - (vX_[474] * vX_[526] + vX_[908] * vX_[947]);
+ vX_[955] = vX_[238] + vX_[967] + vX_[961] + vX_[955] - vX_[977] * vX_[935] - vX_[945] * vX_[934] - vX_[474] * vX_[936] - vX_[984] * vX_[919];
+ vX_[760] = vX_[974] * vX_[589] + vX_[951] * vX_[441] + vX_[970] * vX_[576] + vX_[760] * vX_[360];
+ vX_[951] = vX_[760] - (vX_[977] * vX_[885] + vX_[903] * vX_[935]) - (vX_[945] * vX_[660] + vX_[675] * vX_[934]) - (vX_[474] * vX_[452] + vX_[908] * vX_[936]) - (vX_[984] * vX_[912] + vX_[983] * vX_[919]);
+ vX_[975] = 53.433 + vX_[122] + vX_[957] + vX_[234] + vX_[963] + vX_[354] + vX_[969] + vX_[476] + vX_[975] - vX_[977] * vX_[979] - vX_[945] * vX_[978] - vX_[474] * vX_[980] - vX_[984] * vX_[985] - vX_[955] * vX_[986];
+ vX_[568] = (53.433 * vX_[126] + -1.1915559 * vX_[898] + -0.0053433 * vX_[585] + vX_[86] * vX_[723] + vX_[616] * vX_[699] + vX_[198] * vX_[796] + vX_[764] * vX_[805] + vX_[318] * vX_[865] + vX_[832] * vX_[841] + vX_[440] * vX_[666] + vX_[359] * vX_[578] - 2.0678571 * (vX_[900] + vX_[568]) - vX_[977] * vX_[561] - vX_[945] * vX_[872] - vX_[474] * vX_[563] - vX_[984] * vX_[618] - vX_[955] * vX_[899]) / vX_[975];
+ vX_[534] = (vX_[675] - vX_[978] * vX_[534]) / vX_[573];
+ vX_[828] = (vX_[828] - (vX_[689] * vX_[534] + vX_[811] * vX_[978]) - vX_[979] * vX_[569]) / vX_[570];
+ vX_[532] = (vX_[532] - (vX_[687] * vX_[828] + vX_[566] * vX_[979]) - (vX_[480] * vX_[534] + vX_[902] * vX_[978]) - vX_[980] * vX_[531]) / vX_[572];
+ vX_[530] = (vX_[530] - (vX_[932] * vX_[828] + vX_[930] * vX_[979]) - (vX_[949] * vX_[534] + vX_[527] * vX_[978]) - (vX_[946] * vX_[532] + vX_[535] * vX_[980]) - vX_[985] * vX_[692]) / vX_[976];
+ vX_[760] = (vX_[760] - (vX_[913] * vX_[828] + vX_[925] * vX_[979]) - (vX_[933] * vX_[534] + vX_[931] * vX_[978]) - (vX_[722] * vX_[532] + vX_[467] * vX_[980]) - (vX_[948] * vX_[530] + vX_[536] * vX_[985]) - vX_[986] * vX_[972]) / vX_[973];
+ vX_[951] = (vX_[440] * vX_[626] + vX_[577] * vX_[666] + vX_[359] * vX_[638] + vX_[575] * vX_[578] - (vX_[977] * vX_[543] + vX_[903] * vX_[561]) - (vX_[945] * vX_[654] + vX_[675] * vX_[872]) - (vX_[474] * vX_[621] + vX_[908] * vX_[563]) - (vX_[984] * vX_[607] + vX_[983] * vX_[618]) - (vX_[955] * vX_[358] + vX_[951] * vX_[899]) - vX_[568] * (vX_[950] - (vX_[977] * vX_[828] + vX_[903] * vX_[979]) - (vX_[945] * vX_[534] + vX_[675] * vX_[978]) - (vX_[474] * vX_[532] + vX_[908] * vX_[980]) - (vX_[984] * vX_[530] + vX_[983] * vX_[985]) - (vX_[955] * vX_[760] + vX_[951] * vX_[986]))) / vX_[975];
+ jac[239] = - vX_[951];
+ vX_[760] = vX_[358] - (vX_[986] * vX_[951] + vX_[760] * vX_[568]);
+ jac[238] = - vX_[760];
+ vX_[358] = vX_[899] - vX_[986] * vX_[568];
+ vX_[530] = vX_[607] - (vX_[985] * vX_[951] + vX_[530] * vX_[568]) - (vX_[919] * vX_[760] + vX_[912] * vX_[358]);
+ jac[237] = - vX_[530];
+ vX_[912] = vX_[618] - vX_[985] * vX_[568] - vX_[919] * vX_[358];
+ vX_[532] = vX_[621] - (vX_[936] * vX_[760] + vX_[452] * vX_[358]) - (vX_[947] * vX_[530] + vX_[526] * vX_[912]) - (vX_[980] * vX_[951] + vX_[532] * vX_[568]);
+ jac[236] = - vX_[532];
+ vX_[452] = vX_[563] - vX_[936] * vX_[358] - vX_[947] * vX_[912] - vX_[980] * vX_[568];
+ vX_[828] = vX_[543] - (vX_[938] * vX_[530] + vX_[730] * vX_[912]) - (vX_[586] * vX_[532] + vX_[909] * vX_[452]) - (vX_[935] * vX_[760] + vX_[885] * vX_[358]) - (vX_[979] * vX_[951] + vX_[828] * vX_[568]);
+ jac[235] = - vX_[828];
+ vX_[885] = vX_[561] - vX_[938] * vX_[912] - vX_[586] * vX_[452] - vX_[935] * vX_[358] - vX_[979] * vX_[568];
+ jac[234] = vX_[574] * vX_[532] + vX_[554] * vX_[452] + vX_[688] * vX_[828] + vX_[552] * vX_[885] + vX_[937] * vX_[530] + vX_[971] * vX_[912] + vX_[934] * vX_[760] + vX_[660] * vX_[358] + vX_[978] * vX_[951] + vX_[534] * vX_[568] - vX_[654];
+ vX_[828] = -1 * jac[234];
+ vX_[532] = 0 - vX_[452];
+ vX_[530] = 0 - vX_[885];
+ vX_[644] = vX_[440] * jac[236] + vX_[577] * vX_[532] + vX_[360] * jac[235] + vX_[576] * vX_[530] + vX_[644];
+ vX_[646] = vX_[360] * jac[236] + vX_[576] * vX_[532] + vX_[441] * jac[235] + vX_[589] * vX_[530] + vX_[646];
+ vX_[589] = -1 * jac[237];
+ vX_[576] = 0.207 * jac[236] + vX_[589];
+ vX_[760] = vX_[574] * vX_[452] + vX_[688] * vX_[885] + vX_[937] * vX_[912] + vX_[934] * vX_[358] + vX_[978] * vX_[568] - vX_[872];
+ vX_[951] = 0 - vX_[568];
+ vX_[534] = 0 - vX_[358];
+ vX_[658] = vX_[610] * jac[236] + vX_[603] * vX_[532] + vX_[611] * jac[235] + vX_[604] * vX_[530] + vX_[438] * jac[234] + vX_[605] * vX_[760] + vX_[359] * jac[239] + vX_[575] * vX_[951] + vX_[612] * jac[238] + vX_[606] * vX_[534] + vX_[658];
+ jac[240] = (vX_[653] - vX_[435] * vX_[828] - vX_[472] * vX_[644] - vX_[430] * vX_[646] - vX_[457] * vX_[576] - vX_[449] * (vX_[443] * jac[236] + vX_[581] * vX_[532] + vX_[442] * jac[235] + vX_[582] * vX_[530] + vX_[596] * jac[234] + vX_[583] * vX_[760] + vX_[440] * jac[239] + vX_[577] * vX_[951] + vX_[597] * jac[238] + vX_[584] * vX_[534] + vX_[600]) - vX_[433] * vX_[658]) / vX_[435];
+ vX_[653] = -1 * vX_[644];
+ vX_[600] = vX_[828] + jac[240];
+ vX_[651] = vX_[361] * vX_[576] + vX_[625] * vX_[658] + vX_[592] * vX_[644] + vX_[651];
+ vX_[658] = vX_[388] * vX_[576] + vX_[361] * vX_[658] + vX_[409] * vX_[644] + vX_[652];
+ jac[241] = (vX_[657] - vX_[385] * vX_[653] - vX_[392] * (vX_[361] * vX_[600] + vX_[389] * vX_[646] + vX_[633]) - vX_[373] * (vX_[388] * vX_[600] + vX_[361] * vX_[646] + vX_[650]) - vX_[383] * vX_[651] - vX_[396] * vX_[658]) / vX_[385];
+ vX_[653] = vX_[653] + jac[241];
+ jac[242] = (vX_[643] - 0.1104774 * (vX_[362] * vX_[651] + vX_[636] * vX_[658] + vX_[637] * vX_[653] + vX_[635]) - -0.0004405 * (vX_[364] * vX_[651] + vX_[362] * vX_[658] + vX_[367] * vX_[653] + vX_[639]) - 0.026181 * vX_[653]) / 0.026181;
+ vX_[653] = vX_[318] * jac[236] + vX_[239] * jac[235];
+ vX_[658] = vX_[320] * jac[236] + vX_[318] * jac[235];
+ vX_[651] = 0.207 * jac[236] + jac[237];
+ vX_[643] = vX_[830] * jac[236] + vX_[831] * jac[235] + vX_[317] * jac[234] + vX_[832] * jac[239] + vX_[318] * jac[238];
+ jac[243] = (0 - vX_[314] * jac[234] - vX_[350] * vX_[653] - vX_[309] * vX_[658] - vX_[335] * vX_[651] - vX_[327] * (vX_[321] * jac[236] + vX_[319] * jac[235] + vX_[845] * jac[234] + vX_[318] * jac[239] + vX_[239] * jac[238]) - vX_[312] * vX_[643]) / vX_[314];
+ vX_[639] = jac[234] + jac[243];
+ vX_[635] = vX_[850] * vX_[651] + vX_[851] * vX_[643] + vX_[852] * vX_[653];
+ vX_[643] = vX_[267] * vX_[651] + vX_[240] * vX_[643] + vX_[289] * vX_[653];
+ jac[244] = (0 - vX_[264] * vX_[653] - vX_[271] * (vX_[287] * vX_[639] + vX_[268] * vX_[658]) - vX_[252] * (vX_[268] * vX_[639] + vX_[240] * vX_[658]) - vX_[262] * vX_[635] - vX_[275] * vX_[643]) / vX_[264];
+ vX_[653] = vX_[653] + jac[244];
+ jac[245] = (0 - 0.1104774 * (vX_[241] * vX_[635] + vX_[854] * vX_[643] + vX_[856] * vX_[653]) - -0.0004405 * (vX_[243] * vX_[635] + vX_[241] * vX_[643] + vX_[246] * vX_[653]) - 0.026181 * vX_[653]) / 0.026181;
+ vX_[653] = vX_[198] * jac[236] + vX_[128] * jac[235];
+ vX_[643] = vX_[128] * jac[236] + vX_[199] * jac[235];
+ vX_[589] = 0.207 * jac[236] + vX_[589];
+ vX_[635] = vX_[762] * jac[236] + vX_[763] * jac[235] + vX_[196] * jac[234] + vX_[764] * jac[239] + vX_[765] * jac[238];
+ jac[246] = (0 - vX_[193] * vX_[828] - vX_[230] * vX_[653] - vX_[188] * vX_[643] - vX_[215] * vX_[589] - vX_[207] * (vX_[201] * jac[236] + vX_[200] * jac[235] + vX_[701] * jac[234] + vX_[198] * jac[239] + vX_[127] * jac[238]) - vX_[191] * vX_[635]) / vX_[193];
+ vX_[639] = -1 * vX_[653];
+ vX_[828] = vX_[828] + jac[246];
+ vX_[658] = vX_[129] * vX_[589] + vX_[772] * vX_[635] + vX_[773] * vX_[653];
+ vX_[635] = vX_[149] * vX_[589] + vX_[129] * vX_[635] + vX_[167] * vX_[653];
+ jac[247] = (0 - vX_[146] * vX_[639] - 2.1e-05 * (vX_[129] * vX_[828] + vX_[150] * vX_[643]) - -0.000102 * (vX_[149] * vX_[828] + vX_[129] * vX_[643]) - vX_[144] * vX_[658] - vX_[154] * vX_[635]) / vX_[146];
+ vX_[639] = vX_[639] + jac[247];
+ jac[248] = (0 - 0.110125 * (vX_[132] * vX_[658] + vX_[782] * vX_[635] + vX_[783] * vX_[639]) - 0.000881 * (vX_[130] * vX_[658] + vX_[132] * vX_[635] + vX_[131] * vX_[639]) - 0.026181 * vX_[639]) / 0.026181;
+ vX_[639] = vX_[86] * jac[236] + vX_[24] * jac[235];
+ vX_[635] = vX_[88] * jac[236] + vX_[86] * jac[235];
+ vX_[658] = 0.207 * jac[236] + jac[237];
+ vX_[828] = vX_[649] * jac[236] + vX_[608] * jac[235] + vX_[85] * jac[234] + vX_[616] * jac[239] + vX_[86] * jac[238];
+ jac[249] = (0 - vX_[82] * jac[234] - vX_[118] * vX_[639] - vX_[77] * vX_[635] - vX_[103] * vX_[658] - vX_[95] * (vX_[89] * jac[236] + vX_[87] * jac[235] + vX_[703] * jac[234] + vX_[86] * jac[239] + vX_[24] * jac[238]) - vX_[80] * vX_[828]) / vX_[82];
+ vX_[643] = jac[234] + jac[249];
+ vX_[589] = vX_[708] * vX_[658] + vX_[709] * vX_[828] + vX_[710] * vX_[639];
+ vX_[828] = vX_[10] * vX_[658] + vX_[33] * vX_[828] + vX_[57] * vX_[639];
+ jac[250] = (0 - vX_[17] * vX_[639] - vX_[6] * (vX_[55] * vX_[643] + vX_[38] * vX_[635]) - vX_[23] * (vX_[38] * vX_[643] + vX_[33] * vX_[635]) - vX_[15] * vX_[589] - vX_[43] * vX_[828]) / vX_[17];
+ vX_[639] = vX_[639] + jac[250];
+ jac[251] = (0 - 0.1104774 * (vX_[20] * vX_[589] + vX_[712] * vX_[828] + vX_[714] * vX_[639]) - 0.0004405 * (vX_[37] * vX_[589] + vX_[20] * vX_[828] + vX_[34] * vX_[639]) - 0.026181 * vX_[639]) / 0.026181;
+ vX_[639] = -1 * sin(x_in[7]);
+ vX_[828] = cos(x_in[7]);
+ vX_[589] = vX_[639] * vX_[588] + vX_[828] * vX_[580];
+ vX_[643] = vX_[589] * vX_[599];
+ vX_[635] = -0.08 * vX_[828];
+ vX_[658] = vX_[828] * vX_[579] + vX_[639] * vX_[613] + vX_[635] * vX_[601];
+ vX_[653] = vX_[602] * vX_[658];
+ vX_[651] = - vX_[828];
+ vX_[600] = vX_[651] * vX_[588] + vX_[639] * vX_[580];
+ vX_[646] = vX_[593] * vX_[600] + vX_[589] * vX_[617];
+ vX_[657] = -0.35 * vX_[600];
+ vX_[650] = vX_[362] * vX_[589] + vX_[364] * vX_[600];
+ vX_[633] = vX_[619] * vX_[657] + vX_[650] * vX_[622];
+ vX_[576] = - vX_[828];
+ vX_[644] = -0.08 * vX_[639];
+ vX_[652] = vX_[639] * vX_[579] + vX_[576] * vX_[613] + vX_[644] * vX_[601];
+ vX_[584] = vX_[364] * vX_[652] + vX_[362] * vX_[658];
+ vX_[583] = vX_[624] * vX_[584];
+ vX_[582] = vX_[365] * vX_[589] + vX_[362] * vX_[600];
+ vX_[581] = vX_[619] * vX_[582] + vX_[650] * vX_[632];
+ vX_[577] = vX_[582] * vX_[624];
+ vX_[606] = (- vX_[584]) * x_in[26];
+ vX_[575] = vX_[362] * vX_[652] + vX_[636] * vX_[658];
+ vX_[605] = vX_[575] * x_in[26];
+ vX_[604] = vX_[582] * x_in[26];
+ vX_[657] = vX_[632] * vX_[657] + vX_[582] * vX_[622] - vX_[624] * vX_[575];
+ vX_[603] = 0.1104774 * (vX_[583] - vX_[633]) + 0.025941 * vX_[581] - 0.0004405 * vX_[657];
+ vX_[660] = 0 - vX_[603];
+ vX_[971] = vX_[619] * vX_[650] + vX_[650] * vX_[619];
+ vX_[554] = -0.881 * (vX_[633] - vX_[583]) + 0.1104774 * vX_[581] + -8.81e-05 * vX_[577] + 0.414812462825713 * vX_[606] + 0.00185880198235362 * vX_[605] + 8.81e-05 * vX_[604] + (0.1104774 * vX_[660]) / 0.026181 - 0.0004405 * vX_[971];
+ vX_[552] = vX_[650] * vX_[624];
+ vX_[654] = (- vX_[650]) * x_in[26];
+ vX_[730] = vX_[632] * vX_[582] + vX_[582] * vX_[632];
+ vX_[581] = 0.881 * vX_[657] + -8.81e-05 * vX_[552] + 0.0004405 * vX_[581] + 0.00185880198235362 * vX_[606] + 0.880992588508842 * vX_[605] + -8.81e-05 * vX_[654] + (-0.0004405 * vX_[660]) / 0.026181 - 0.1104774 * vX_[730];
+ vX_[909] = (- vX_[589]) * x_in[25];
+ vX_[543] = vX_[600] * x_in[25];
+ vX_[526] = (- vX_[658]) * x_in[25];
+ vX_[621] = vX_[652] * x_in[25];
+ vX_[607] = vX_[589] * vX_[602];
+ vX_[983] = vX_[600] * vX_[599] - vX_[602] * vX_[652];
+ vX_[908] = vX_[600] * vX_[602];
+ vX_[903] = vX_[617] * vX_[600] + vX_[600] * vX_[617];
+ vX_[675] = vX_[593] * vX_[589] + vX_[589] * vX_[593];
+ vX_[603] = 0.47422804 * (vX_[653] - vX_[643]) + 0.081641 * vX_[646] + 2.1e-05 * vX_[607] + (0.026181 * vX_[660]) / 0.026181 + vX_[603] + vX_[637] * vX_[554] + vX_[367] * vX_[581] - -0.0825825 * vX_[983] - 0.000102 * vX_[908] - 0.007418 * (vX_[903] - vX_[675]);
+ vX_[950] = 0 - vX_[603];
+ vX_[653] = -3.146 * (vX_[643] - vX_[653]) + 0.47422804 * vX_[646] + vX_[362] * vX_[554] + vX_[364] * vX_[581] + vX_[393] * vX_[909] + vX_[387] * vX_[543] + vX_[419] * vX_[526] + vX_[421] * vX_[621] + (vX_[383] * vX_[950]) / vX_[385] - -0.0825825 * vX_[675];
+ vX_[983] = 3.146 * vX_[983] + -0.0825825 * vX_[646] + vX_[636] * vX_[554] + vX_[362] * vX_[581] + vX_[399] * vX_[909] + vX_[398] * vX_[543] + vX_[421] * vX_[526] + vX_[420] * vX_[621] + (vX_[396] * vX_[950]) / vX_[385] - 0.47422804 * vX_[903];
+ vX_[581] = -1 * vX_[635];
+ vX_[554] = -0.08 * vX_[639];
+ vX_[643] = vX_[581] * vX_[420] - vX_[554] * vX_[421];
+ vX_[578] = vX_[581] * vX_[421] - vX_[554] * vX_[419];
+ vX_[423] = vX_[422] * vX_[581] + vX_[643] * vX_[410] - (vX_[423] * vX_[554] + vX_[578] * vX_[408]);
+ vX_[422] = vX_[398] * vX_[581] - vX_[387] * vX_[554];
+ vX_[638] = vX_[399] * vX_[581] - vX_[393] * vX_[554];
+ vX_[666] = - vX_[638];
+ vX_[626] = vX_[389] * vX_[422] + vX_[651] * vX_[469] + vX_[361] * vX_[666] + vX_[639] * vX_[471];
+ vX_[972] = - 4.027 * vX_[581];
+ vX_[384] = 0 - vX_[384] * vX_[581] - (vX_[411] * vX_[581] + vX_[972] * vX_[410]) - vX_[423];
+ vX_[581] = vX_[395] * vX_[554] + vX_[411] * vX_[554] + vX_[972] * vX_[408] - vX_[382] * vX_[581];
+ vX_[428] = vX_[388] * vX_[384] + vX_[828] * vX_[428] + vX_[361] * vX_[581] + vX_[639] * vX_[412];
+ vX_[411] = 4.027 * vX_[554];
+ vX_[554] = vX_[413] * vX_[554] + vX_[416] * vX_[554] + vX_[411] * vX_[408] - vX_[423];
+ vX_[581] = vX_[388] * vX_[581] + vX_[828] * vX_[412] + vX_[361] * vX_[554] + vX_[639] * vX_[425];
+ vX_[425] = vX_[429] * vX_[828] + vX_[428] * vX_[388] + vX_[426] * vX_[639] + vX_[581] * vX_[361];
+ vX_[412] = vX_[423] + vX_[425];
+ vX_[416] = (vX_[626] - vX_[524] * vX_[412]) / vX_[435];
+ vX_[413] = vX_[423] - (vX_[472] * vX_[416] + vX_[626] * vX_[524]);
+ vX_[581] = vX_[426] * vX_[651] + vX_[581] * vX_[389] + vX_[429] * vX_[639] + vX_[428] * vX_[361];
+ vX_[416] = vX_[470] * vX_[651] + -1 * 2. * vX_[638] * vX_[389] + vX_[564] * vX_[639] + -1 * 2. * vX_[422] * vX_[361] + vX_[361] * vX_[422] + vX_[639] * vX_[469] + vX_[388] * vX_[666] + vX_[828] * vX_[471] - (vX_[430] * vX_[416] + vX_[581] * vX_[524]);
+ vX_[666] = - vX_[411];
+ vX_[638] = vX_[361] * vX_[666] + vX_[639] * vX_[446] + vX_[389] * vX_[972] + vX_[651] * vX_[447];
+ vX_[422] = (vX_[638] - vX_[450] * vX_[412]) / vX_[435];
+ vX_[564] = -(vX_[472] * vX_[422] + vX_[626] * vX_[450]);
+ vX_[411] = -1 * (vX_[578] + vX_[411]);
+ vX_[643] = -1 * (vX_[643] + vX_[972]);
+ vX_[666] = vX_[388] * vX_[666] + vX_[828] * vX_[446] + vX_[361] * vX_[972] + vX_[639] * vX_[447];
+ vX_[972] = vX_[828] * vX_[398] + vX_[639] * vX_[399];
+ vX_[447] = vX_[828] * vX_[387] + vX_[639] * vX_[393];
+ vX_[446] = vX_[431] * vX_[639] + vX_[972] * vX_[361] + vX_[432] * vX_[651] + vX_[447] * vX_[389];
+ vX_[578] = (vX_[446] - vX_[436] * vX_[412]) / vX_[435];
+ vX_[470] = vX_[445] * vX_[651] + vX_[411] * vX_[389] + vX_[475] * vX_[639] + vX_[643] * vX_[361] + vX_[666] - (vX_[472] * vX_[578] + vX_[626] * vX_[436]);
+ vX_[575] = vX_[619] * vX_[575] + vX_[650] * vX_[641] - (vX_[632] * vX_[584] + vX_[582] * vX_[629]);
+ vX_[657] = -8.81e-05 * vX_[657] + -8.81e-05 * vX_[605] + 0.026409 * vX_[654] - 0.1104774 * vX_[575] - 0.025713 * vX_[552];
+ vX_[583] = 0.0004405 * vX_[575] + -8.81e-05 * (vX_[633] - vX_[583]) + -0.000227999999999999 * vX_[577] + 8.81e-05 * vX_[606] + 0.000468 * vX_[604];
+ vX_[575] = 0.881 * vX_[575] + 0.1104774 * vX_[552] + 0.0004405 * vX_[577] + -0.1104774 * vX_[654] + 0.0004405 * vX_[604] - -8.81e-05 * (vX_[730] + vX_[971]);
+ vX_[652] = vX_[593] * vX_[652] + vX_[589] * vX_[628] - (vX_[617] * vX_[658] + vX_[600] * vX_[614]);
+ vX_[675] = 0.007418 * vX_[908] + 0.000102 * (0 - vX_[675]) + vX_[362] * vX_[657] + vX_[364] * vX_[583] + -0.35 * vX_[575] + vX_[415] * vX_[909] + vX_[407] * vX_[543] + vX_[393] * vX_[526] + vX_[399] * vX_[621] + (vX_[392] * vX_[950]) / vX_[385] - 0.47422804 * vX_[652] - 0.084376 * vX_[607] - 2.1e-05 * vX_[646];
+ vX_[583] = 0.002735 * vX_[908] + -0.0825825 * vX_[652] + 0.000102 * vX_[646] + vX_[365] * vX_[657] + vX_[362] * vX_[583] + vX_[407] * vX_[909] + vX_[414] * vX_[543] + vX_[387] * vX_[526] + vX_[398] * vX_[621] + (vX_[373] * vX_[950]) / vX_[385] - 0.007418 * vX_[607] - 2.1e-05 * (0 - vX_[903]);
+ vX_[652] = 0.47422804 * vX_[607] + 3.146 * vX_[652] + -0.0825825 * vX_[908] + vX_[575] + vX_[382] * vX_[909] + vX_[395] * vX_[543];
+ vX_[575] = vX_[361] * vX_[675] + vX_[639] * vX_[677] + vX_[388] * vX_[583] + vX_[828] * vX_[679] + -0.08 * vX_[652];
+ vX_[908] = 0 - vX_[575];
+ vX_[603] = vX_[592] * vX_[653] + vX_[644] * vX_[655] + vX_[409] * vX_[983] + vX_[635] * vX_[674] + -1 * (vX_[603] + (vX_[385] * vX_[950]) / vX_[385]) + vX_[413] * vX_[682] + vX_[416] * vX_[683] + vX_[564] * vX_[685] + vX_[470] * vX_[686] + (vX_[472] * vX_[908] + vX_[626] * vX_[673] - vX_[676] * vX_[412]) / vX_[435];
+ vX_[425] = vX_[554] + vX_[384] + vX_[423] - vX_[425] - (vX_[430] * (vX_[581] - vX_[533] * vX_[412]) / vX_[435] + vX_[581] * vX_[533]);
+ vX_[666] = 0 - vX_[666] - (vX_[430] * vX_[422] + vX_[581] * vX_[450]);
+ vX_[554] = vX_[639] * vX_[387] + vX_[651] * vX_[393];
+ vX_[384] = vX_[639] * vX_[398] + vX_[651] * vX_[399];
+ vX_[423] = vX_[394] * vX_[651] + vX_[554] * vX_[389] + vX_[400] * vX_[639] + vX_[384] * vX_[361] - (vX_[430] * vX_[578] + vX_[581] * vX_[436]);
+ vX_[583] = vX_[389] * vX_[675] + vX_[651] * vX_[677] + vX_[361] * vX_[583] + vX_[639] * vX_[679] + vX_[416] * vX_[682] + vX_[425] * vX_[683] + vX_[666] * vX_[685] + vX_[423] * vX_[686] + (vX_[430] * vX_[908] + vX_[581] * vX_[673] - vX_[656] * vX_[412]) / vX_[435];
+ vX_[447] = vX_[431] * vX_[828] + vX_[972] * vX_[388] + vX_[432] * vX_[639] + vX_[447] * vX_[361];
+ vX_[972] = (vX_[447] - vX_[458] * vX_[412]) / vX_[435];
+ vX_[643] = vX_[445] * vX_[639] + vX_[411] * vX_[361] + vX_[475] * vX_[828] + vX_[643] * vX_[388] - vX_[638] - (vX_[472] * vX_[972] + vX_[626] * vX_[458]);
+ vX_[384] = vX_[394] * vX_[639] + vX_[554] * vX_[361] + vX_[400] * vX_[828] + vX_[384] * vX_[388] - (vX_[430] * vX_[972] + vX_[581] * vX_[458]);
+ vX_[554] = -(vX_[449] * vX_[972] + vX_[638] * vX_[458]);
+ vX_[453] = vX_[828] * vX_[421] + vX_[639] * vX_[453];
+ vX_[455] = vX_[828] * vX_[455] + vX_[639] * vX_[421];
+ vX_[400] = vX_[454] * vX_[651] + vX_[453] * vX_[389] + vX_[456] * vX_[639] + vX_[455] * vX_[361] - (vX_[433] * vX_[972] + vX_[446] * vX_[458]);
+ vX_[394] = vX_[361] * vX_[653] + vX_[639] * vX_[655] + vX_[388] * vX_[983] + vX_[828] * vX_[674] + vX_[643] * vX_[682] + vX_[384] * vX_[683] + vX_[554] * vX_[685] + vX_[400] * vX_[686] + (vX_[457] * vX_[908] + vX_[447] * vX_[673] - vX_[840] * vX_[412]) / vX_[435];
+ vX_[411] = -(vX_[449] * vX_[422] + vX_[638] * vX_[450]);
+ vX_[422] = -(vX_[433] * vX_[422] + vX_[446] * vX_[450]);
+ vX_[652] = -1 * vX_[652] + vX_[564] * vX_[682] + vX_[666] * vX_[683] + vX_[411] * vX_[685] + vX_[422] * vX_[686] + (vX_[449] * vX_[908] + vX_[638] * vX_[673] - vX_[661] * vX_[412]) / vX_[435];
+ vX_[455] = vX_[456] * vX_[828] + vX_[455] * vX_[388] + vX_[454] * vX_[639] + vX_[453] * vX_[361];
+ vX_[578] = 0 - vX_[455] - (vX_[433] * vX_[578] + vX_[446] * vX_[436]);
+ vX_[983] = vX_[625] * vX_[653] + vX_[576] * vX_[655] + vX_[361] * vX_[983] + vX_[639] * vX_[674] + vX_[470] * vX_[682] + vX_[423] * vX_[683] + vX_[422] * vX_[685] + vX_[578] * vX_[686] + (vX_[433] * vX_[908] + vX_[446] * vX_[673] - vX_[662] * vX_[412]) / vX_[435];
+ vX_[455] = vX_[455] - (vX_[457] * vX_[972] + vX_[447] * vX_[458]);
+ vX_[972] = vX_[464] * vX_[455] - vX_[444] * vX_[400];
+ vX_[653] = vX_[464] * vX_[400] - vX_[444] * vX_[578];
+ vX_[674] = vX_[439] * vX_[578] - vX_[464] * vX_[422];
+ vX_[655] = vX_[439] * vX_[422] - vX_[464] * vX_[411];
+ vX_[453] = vX_[674] * vX_[439] - vX_[655] * vX_[464];
+ vX_[413] = 2. * vX_[643] * vX_[464] + vX_[413] + vX_[972] * vX_[464] - 2. * vX_[470] * vX_[444] - vX_[653] * vX_[444] - vX_[453];
+ vX_[456] = vX_[444] * vX_[411] - vX_[439] * vX_[554];
+ vX_[454] = vX_[444] * vX_[554] - vX_[439] * vX_[455];
+ vX_[425] = 2. * vX_[666] * vX_[444] + vX_[425] + vX_[456] * vX_[444] - 2. * vX_[384] * vX_[439] - vX_[454] * vX_[439] - vX_[453];
+ vX_[475] = vX_[444] * vX_[422];
+ vX_[445] = vX_[439] * vX_[400];
+ vX_[432] = vX_[475] - vX_[445];
+ vX_[416] = vX_[564] * vX_[444] + vX_[416] + vX_[384] * vX_[464] + vX_[454] * vX_[464] - vX_[423] * vX_[444] - vX_[643] * vX_[439] - vX_[432] * vX_[444];
+ vX_[431] = vX_[360] * vX_[416];
+ vX_[675] = (vX_[441] * vX_[425] + vX_[431]) * vX_[441] + (vX_[441] * vX_[416] + vX_[360] * vX_[413]) * vX_[360];
+ vX_[416] = vX_[360] * vX_[425] + vX_[440] * vX_[416];
+ vX_[431] = vX_[431] + vX_[440] * vX_[413];
+ vX_[679] = vX_[416] * vX_[360] + vX_[431] * vX_[440];
+ vX_[425] = vX_[413] + vX_[425] + vX_[453] - vX_[675] - vX_[679];
+ vX_[575] = (vX_[596] * vX_[652] + vX_[438] * vX_[983] + -1 * (vX_[575] + (vX_[435] * vX_[908] + vX_[412] * vX_[673] - vX_[843] * vX_[412]) / vX_[435]) - vX_[872] * vX_[425]) / vX_[573];
+ vX_[413] = vX_[464] * vX_[554];
+ vX_[475] = vX_[413] - vX_[475];
+ vX_[677] = vX_[564] * vX_[464] + vX_[475] * vX_[464] - vX_[470] * vX_[439] - vX_[653] * vX_[439];
+ vX_[607] = vX_[423] * vX_[439] + vX_[432] * vX_[439] - vX_[666] * vX_[464] - vX_[456] * vX_[464];
+ vX_[657] = vX_[360] * vX_[677] + vX_[440] * vX_[607];
+ vX_[903] = (vX_[657] - vX_[688] * vX_[425]) / vX_[573];
+ vX_[675] = vX_[453] + vX_[675] - (vX_[689] * vX_[903] + vX_[657] * vX_[688]);
+ vX_[646] = (vX_[360] * vX_[603] + vX_[441] * vX_[583] + vX_[442] * vX_[652] + vX_[611] * vX_[983] - (vX_[689] * vX_[575] + vX_[657] * vX_[872]) - vX_[561] * vX_[675]) / vX_[570];
+ vX_[431] = vX_[416] * vX_[441] + vX_[431] * vX_[360];
+ vX_[607] = 0 - vX_[360] * vX_[607] - vX_[441] * vX_[677];
+ vX_[677] = vX_[431] - (vX_[480] * vX_[903] + vX_[607] * vX_[688]);
+ vX_[416] = (vX_[607] - vX_[574] * vX_[425]) / vX_[573];
+ vX_[431] = (vX_[431] - (vX_[689] * vX_[416] + vX_[657] * vX_[574]) - vX_[586] * vX_[675]) / vX_[570];
+ vX_[679] = vX_[453] + vX_[679] - (vX_[687] * vX_[431] + vX_[677] * vX_[586]) - (vX_[480] * vX_[416] + vX_[607] * vX_[574]);
+ vX_[583] = (vX_[440] * vX_[603] + vX_[360] * vX_[583] + 0.207 * vX_[394] + vX_[443] * vX_[652] + vX_[610] * vX_[983] - (vX_[687] * vX_[646] + vX_[677] * vX_[561]) - (vX_[480] * vX_[575] + vX_[607] * vX_[872]) - vX_[563] * vX_[679]) / vX_[572];
+ vX_[456] = vX_[456] + vX_[666];
+ vX_[413] = vX_[445] - vX_[413];
+ vX_[475] = vX_[564] + vX_[475] - vX_[413];
+ vX_[564] = vX_[441] * vX_[456] + vX_[360] * vX_[475];
+ vX_[432] = vX_[423] + vX_[432] - vX_[413];
+ vX_[653] = vX_[653] + vX_[470];
+ vX_[470] = vX_[441] * vX_[432] + vX_[360] * vX_[653];
+ vX_[423] = vX_[564] * vX_[360] + vX_[470] * vX_[441] + vX_[413];
+ vX_[972] = vX_[972] + vX_[643];
+ vX_[655] = -1 * (vX_[655] + vX_[972]);
+ vX_[454] = vX_[454] + vX_[384];
+ vX_[674] = -1 * (vX_[674] + vX_[454]);
+ vX_[972] = - vX_[972];
+ vX_[384] = vX_[360] * vX_[972] + vX_[440] * vX_[454];
+ vX_[643] = vX_[655] * vX_[360] + vX_[674] * vX_[441] - vX_[384];
+ vX_[445] = vX_[423] - (vX_[933] * vX_[903] + vX_[643] * vX_[688]);
+ vX_[653] = vX_[360] * vX_[432] + vX_[440] * vX_[653];
+ vX_[475] = vX_[360] * vX_[456] + vX_[440] * vX_[475];
+ vX_[456] = vX_[653] * vX_[441] + vX_[475] * vX_[360];
+ vX_[432] = vX_[456] - (vX_[913] * vX_[431] + vX_[445] * vX_[586]) - (vX_[933] * vX_[416] + vX_[643] * vX_[574]);
+ vX_[666] = vX_[384] - (vX_[949] * vX_[903] + vX_[413] * vX_[688]);
+ vX_[972] = vX_[441] * vX_[972] + vX_[360] * vX_[454];
+ vX_[454] = - vX_[972];
+ vX_[603] = vX_[454] - (vX_[932] * vX_[431] + vX_[666] * vX_[586]) - (vX_[949] * vX_[416] + vX_[413] * vX_[574]);
+ vX_[411] = vX_[411] - vX_[455];
+ vX_[578] = vX_[578] - vX_[455];
+ vX_[453] = vX_[360] * vX_[422];
+ vX_[600] = (vX_[441] * vX_[578] + vX_[453]) * vX_[441] + (vX_[441] * vX_[422] + vX_[360] * vX_[411]) * vX_[360];
+ vX_[422] = vX_[360] * vX_[578] + vX_[440] * vX_[422];
+ vX_[453] = vX_[453] + vX_[440] * vX_[411];
+ vX_[658] = vX_[422] * vX_[360] + vX_[453] * vX_[440];
+ vX_[589] = (vX_[413] - vX_[937] * vX_[425]) / vX_[573];
+ vX_[384] = (vX_[384] - (vX_[689] * vX_[589] + vX_[657] * vX_[937]) - vX_[938] * vX_[675]) / vX_[570];
+ vX_[454] = (vX_[454] - (vX_[687] * vX_[384] + vX_[677] * vX_[938]) - (vX_[480] * vX_[589] + vX_[607] * vX_[937]) - vX_[947] * vX_[679]) / vX_[572];
+ vX_[578] = vX_[411] + vX_[578] + vX_[455] - vX_[600] - vX_[658] - (vX_[932] * vX_[384] + vX_[666] * vX_[938]) - (vX_[949] * vX_[589] + vX_[413] * vX_[937]) - (vX_[946] * vX_[454] + vX_[603] * vX_[947]);
+ vX_[394] = (-1 * vX_[394] - (vX_[932] * vX_[646] + vX_[666] * vX_[561]) - (vX_[949] * vX_[575] + vX_[413] * vX_[872]) - (vX_[946] * vX_[583] + vX_[603] * vX_[563]) - vX_[618] * vX_[578]) / vX_[976];
+ vX_[554] = - vX_[554];
+ vX_[411] = vX_[360] * vX_[554] + vX_[440] * vX_[400];
+ vX_[730] = vX_[411] - (vX_[913] * vX_[384] + vX_[445] * vX_[938]) - (vX_[933] * vX_[589] + vX_[643] * vX_[937]) - (vX_[722] * vX_[454] + vX_[432] * vX_[947]);
+ vX_[654] = (vX_[643] - vX_[934] * vX_[425]) / vX_[573];
+ vX_[423] = (vX_[423] - (vX_[689] * vX_[654] + vX_[657] * vX_[934]) - vX_[935] * vX_[675]) / vX_[570];
+ vX_[456] = (vX_[456] - (vX_[687] * vX_[423] + vX_[677] * vX_[935]) - (vX_[480] * vX_[654] + vX_[607] * vX_[934]) - vX_[936] * vX_[679]) / vX_[572];
+ vX_[411] = (vX_[411] - (vX_[932] * vX_[423] + vX_[666] * vX_[935]) - (vX_[949] * vX_[654] + vX_[413] * vX_[934]) - (vX_[946] * vX_[456] + vX_[603] * vX_[936]) - vX_[919] * vX_[578]) / vX_[976];
+ vX_[600] = vX_[455] + vX_[600] - (vX_[913] * vX_[423] + vX_[445] * vX_[935]) - (vX_[933] * vX_[654] + vX_[643] * vX_[934]) - (vX_[722] * vX_[456] + vX_[432] * vX_[936]) - (vX_[948] * vX_[411] + vX_[730] * vX_[919]);
+ vX_[552] = (vX_[597] * vX_[652] + vX_[612] * vX_[983] - (vX_[913] * vX_[646] + vX_[445] * vX_[561]) - (vX_[933] * vX_[575] + vX_[643] * vX_[872]) - (vX_[722] * vX_[583] + vX_[432] * vX_[563]) - (vX_[948] * vX_[394] + vX_[730] * vX_[618]) - vX_[899] * vX_[600]) / vX_[973];
+ vX_[470] = vX_[470] * vX_[360] + vX_[564] * vX_[440];
+ vX_[972] = vX_[655] * vX_[440] + vX_[674] * vX_[360] + vX_[972];
+ vX_[674] = vX_[470] - (vX_[945] * vX_[903] + vX_[972] * vX_[688]);
+ vX_[475] = vX_[475] * vX_[440] + vX_[653] * vX_[360] + vX_[413];
+ vX_[653] = vX_[475] - (vX_[977] * vX_[431] + vX_[674] * vX_[586]) - (vX_[945] * vX_[416] + vX_[972] * vX_[574]);
+ vX_[554] = 0 - vX_[360] * vX_[400] - vX_[441] * vX_[554];
+ vX_[400] = vX_[554] - (vX_[977] * vX_[384] + vX_[674] * vX_[938]) - (vX_[945] * vX_[589] + vX_[972] * vX_[937]) - (vX_[474] * vX_[454] + vX_[653] * vX_[947]);
+ vX_[453] = vX_[422] * vX_[441] + vX_[453] * vX_[360];
+ vX_[422] = vX_[453] - (vX_[977] * vX_[423] + vX_[674] * vX_[935]) - (vX_[945] * vX_[654] + vX_[972] * vX_[934]) - (vX_[474] * vX_[456] + vX_[653] * vX_[936]) - (vX_[984] * vX_[411] + vX_[400] * vX_[919]);
+ vX_[425] = (vX_[972] - vX_[978] * vX_[425]) / vX_[573];
+ vX_[470] = (vX_[470] - (vX_[689] * vX_[425] + vX_[657] * vX_[978]) - vX_[979] * vX_[675]) / vX_[570];
+ vX_[475] = (vX_[475] - (vX_[687] * vX_[470] + vX_[677] * vX_[979]) - (vX_[480] * vX_[425] + vX_[607] * vX_[978]) - vX_[980] * vX_[679]) / vX_[572];
+ vX_[554] = (vX_[554] - (vX_[932] * vX_[470] + vX_[666] * vX_[979]) - (vX_[949] * vX_[425] + vX_[413] * vX_[978]) - (vX_[946] * vX_[475] + vX_[603] * vX_[980]) - vX_[985] * vX_[578]) / vX_[976];
+ vX_[453] = (vX_[453] - (vX_[913] * vX_[470] + vX_[445] * vX_[979]) - (vX_[933] * vX_[425] + vX_[643] * vX_[978]) - (vX_[722] * vX_[475] + vX_[432] * vX_[980]) - (vX_[948] * vX_[554] + vX_[730] * vX_[985]) - vX_[986] * vX_[600]) / vX_[973];
+ vX_[422] = (vX_[440] * vX_[652] + vX_[359] * vX_[983] - (vX_[977] * vX_[646] + vX_[674] * vX_[561]) - (vX_[945] * vX_[575] + vX_[972] * vX_[872]) - (vX_[474] * vX_[583] + vX_[653] * vX_[563]) - (vX_[984] * vX_[394] + vX_[400] * vX_[618]) - (vX_[955] * vX_[552] + vX_[422] * vX_[899]) - vX_[568] * (vX_[455] + vX_[658] - (vX_[977] * vX_[470] + vX_[674] * vX_[979]) - (vX_[945] * vX_[425] + vX_[972] * vX_[978]) - (vX_[474] * vX_[475] + vX_[653] * vX_[980]) - (vX_[984] * vX_[554] + vX_[400] * vX_[985]) - (vX_[955] * vX_[453] + vX_[422] * vX_[986]))) / vX_[975];
+ jac[275] = - vX_[422];
+ vX_[453] = vX_[552] - (vX_[986] * vX_[422] + vX_[453] * vX_[568]);
+ jac[274] = - vX_[453];
+ vX_[554] = vX_[394] - (vX_[985] * vX_[422] + vX_[554] * vX_[568]) - (vX_[919] * vX_[453] + vX_[411] * vX_[358]);
+ jac[273] = - vX_[554];
+ vX_[475] = vX_[583] - (vX_[936] * vX_[453] + vX_[456] * vX_[358]) - (vX_[947] * vX_[554] + vX_[454] * vX_[912]) - (vX_[980] * vX_[422] + vX_[475] * vX_[568]);
+ jac[272] = - vX_[475];
+ vX_[470] = vX_[646] - (vX_[938] * vX_[554] + vX_[384] * vX_[912]) - (vX_[586] * vX_[475] + vX_[431] * vX_[452]) - (vX_[935] * vX_[453] + vX_[423] * vX_[358]) - (vX_[979] * vX_[422] + vX_[470] * vX_[568]);
+ jac[270] = vX_[574] * vX_[475] + vX_[416] * vX_[452] + vX_[688] * vX_[470] + vX_[903] * vX_[885] + vX_[937] * vX_[554] + vX_[589] * vX_[912] + vX_[934] * vX_[453] + vX_[654] * vX_[358] + vX_[978] * vX_[422] + vX_[425] * vX_[568] - vX_[575];
+ jac[271] = - vX_[470];
+ vX_[470] = -1 * jac[270];
+ vX_[475] = -1 * vX_[760];
+ vX_[554] = vX_[440] * jac[272] + vX_[360] * jac[271];
+ vX_[453] = vX_[440] * vX_[532] + vX_[360] * vX_[530] + vX_[682];
+ vX_[422] = vX_[360] * jac[272] + vX_[441] * jac[271];
+ vX_[425] = vX_[360] * vX_[532] + vX_[441] * vX_[530] + vX_[683];
+ vX_[654] = -1 * jac[273];
+ vX_[589] = 0.207 * jac[272] + vX_[654];
+ vX_[416] = 0 - vX_[912];
+ vX_[903] = -1 * vX_[416];
+ vX_[575] = 0.207 * vX_[532] + vX_[903];
+ vX_[423] = vX_[443] * vX_[532] + vX_[442] * vX_[530] + vX_[596] * vX_[760] + vX_[440] * vX_[951] + vX_[597] * vX_[534] + vX_[685];
+ vX_[384] = vX_[610] * jac[272] + vX_[611] * jac[271] + vX_[438] * jac[270] + vX_[359] * jac[275] + vX_[612] * jac[274];
+ vX_[431] = vX_[610] * vX_[532] + vX_[611] * vX_[530] + vX_[438] * vX_[760] + vX_[359] * vX_[951] + vX_[612] * vX_[534] + vX_[686];
+ vX_[646] = (vX_[673] - vX_[435] * vX_[475] - vX_[472] * vX_[453] - vX_[430] * vX_[425] - vX_[457] * vX_[575] - vX_[449] * vX_[423] - vX_[433] * vX_[431]) / vX_[435];
+ jac[276] = (vX_[908] - (vX_[435] * vX_[470] + vX_[412] * vX_[475]) - (vX_[472] * vX_[554] + vX_[626] * vX_[453]) - (vX_[430] * vX_[422] + vX_[581] * vX_[425]) - (vX_[457] * vX_[589] + vX_[447] * vX_[575]) - (vX_[449] * (vX_[443] * jac[272] + vX_[442] * jac[271] + vX_[596] * jac[270] + vX_[440] * jac[275] + vX_[597] * jac[274]) + vX_[638] * vX_[423]) - (vX_[433] * vX_[384] + vX_[446] * vX_[431]) - vX_[646] * vX_[412]) / vX_[435];
+ vX_[447] = -1 * vX_[554];
+ vX_[908] = vX_[470] + jac[276];
+ vX_[446] = vX_[475] + vX_[646];
+ vX_[526] = vX_[361] * vX_[589] + vX_[639] * vX_[575] + vX_[625] * vX_[384] + vX_[576] * vX_[431] + vX_[592] * vX_[554] + vX_[644] * vX_[453] + vX_[526];
+ vX_[384] = vX_[388] * vX_[589] + vX_[828] * vX_[575] + vX_[361] * vX_[384] + vX_[639] * vX_[431] + vX_[409] * vX_[554] + vX_[635] * vX_[453] + vX_[621];
+ jac[277] = (vX_[950] - vX_[385] * vX_[447] - vX_[392] * (vX_[361] * vX_[908] + vX_[639] * vX_[446] + vX_[389] * vX_[422] + vX_[651] * vX_[425] + vX_[909]) - vX_[373] * (vX_[388] * vX_[908] + vX_[828] * vX_[446] + vX_[361] * vX_[422] + vX_[639] * vX_[425] + vX_[543]) - vX_[383] * vX_[526] - vX_[396] * vX_[384]) / vX_[385];
+ vX_[447] = vX_[447] + jac[277];
+ jac[278] = (vX_[660] - 0.1104774 * (vX_[362] * vX_[526] + vX_[636] * vX_[384] + vX_[637] * vX_[447] + vX_[606]) - -0.0004405 * (vX_[364] * vX_[526] + vX_[362] * vX_[384] + vX_[367] * vX_[447] + vX_[605]) - 0.026181 * vX_[447]) / 0.026181;
+ vX_[447] = vX_[318] * jac[272] + vX_[239] * jac[271];
+ vX_[384] = vX_[320] * jac[272] + vX_[318] * jac[271];
+ vX_[526] = 0.207 * jac[272] + jac[273];
+ vX_[660] = vX_[830] * jac[272] + vX_[831] * jac[271] + vX_[317] * jac[270] + vX_[832] * jac[275] + vX_[318] * jac[274];
+ jac[279] = (0 - vX_[314] * jac[270] - vX_[350] * vX_[447] - vX_[309] * vX_[384] - vX_[335] * vX_[526] - vX_[327] * (vX_[321] * jac[272] + vX_[319] * jac[271] + vX_[845] * jac[270] + vX_[318] * jac[275] + vX_[239] * jac[274]) - vX_[312] * vX_[660]) / vX_[314];
+ vX_[605] = jac[270] + jac[279];
+ vX_[606] = vX_[850] * vX_[526] + vX_[851] * vX_[660] + vX_[852] * vX_[447];
+ vX_[660] = vX_[267] * vX_[526] + vX_[240] * vX_[660] + vX_[289] * vX_[447];
+ jac[280] = (0 - vX_[264] * vX_[447] - vX_[271] * (vX_[287] * vX_[605] + vX_[268] * vX_[384]) - vX_[252] * (vX_[268] * vX_[605] + vX_[240] * vX_[384]) - vX_[262] * vX_[606] - vX_[275] * vX_[660]) / vX_[264];
+ vX_[447] = vX_[447] + jac[280];
+ jac[281] = (0 - 0.1104774 * (vX_[241] * vX_[606] + vX_[854] * vX_[660] + vX_[856] * vX_[447]) - -0.0004405 * (vX_[243] * vX_[606] + vX_[241] * vX_[660] + vX_[246] * vX_[447]) - 0.026181 * vX_[447]) / 0.026181;
+ vX_[447] = vX_[198] * jac[272] + vX_[128] * jac[271];
+ vX_[660] = vX_[128] * jac[272] + vX_[199] * jac[271];
+ vX_[654] = 0.207 * jac[272] + vX_[654];
+ vX_[606] = vX_[762] * jac[272] + vX_[763] * jac[271] + vX_[196] * jac[270] + vX_[764] * jac[275] + vX_[765] * jac[274];
+ jac[282] = (0 - vX_[193] * vX_[470] - vX_[230] * vX_[447] - vX_[188] * vX_[660] - vX_[215] * vX_[654] - vX_[207] * (vX_[201] * jac[272] + vX_[200] * jac[271] + vX_[701] * jac[270] + vX_[198] * jac[275] + vX_[127] * jac[274]) - vX_[191] * vX_[606]) / vX_[193];
+ vX_[605] = -1 * vX_[447];
+ vX_[470] = vX_[470] + jac[282];
+ vX_[384] = vX_[129] * vX_[654] + vX_[772] * vX_[606] + vX_[773] * vX_[447];
+ vX_[606] = vX_[149] * vX_[654] + vX_[129] * vX_[606] + vX_[167] * vX_[447];
+ jac[283] = (0 - vX_[146] * vX_[605] - 2.1e-05 * (vX_[129] * vX_[470] + vX_[150] * vX_[660]) - -0.000102 * (vX_[149] * vX_[470] + vX_[129] * vX_[660]) - vX_[144] * vX_[384] - vX_[154] * vX_[606]) / vX_[146];
+ vX_[605] = vX_[605] + jac[283];
+ jac[284] = (0 - 0.110125 * (vX_[132] * vX_[384] + vX_[782] * vX_[606] + vX_[783] * vX_[605]) - 0.000881 * (vX_[130] * vX_[384] + vX_[132] * vX_[606] + vX_[131] * vX_[605]) - 0.026181 * vX_[605]) / 0.026181;
+ vX_[605] = vX_[86] * jac[272] + vX_[24] * jac[271];
+ vX_[606] = vX_[88] * jac[272] + vX_[86] * jac[271];
+ vX_[384] = 0.207 * jac[272] + jac[273];
+ vX_[470] = vX_[649] * jac[272] + vX_[608] * jac[271] + vX_[85] * jac[270] + vX_[616] * jac[275] + vX_[86] * jac[274];
+ jac[285] = (0 - vX_[82] * jac[270] - vX_[118] * vX_[605] - vX_[77] * vX_[606] - vX_[103] * vX_[384] - vX_[95] * (vX_[89] * jac[272] + vX_[87] * jac[271] + vX_[703] * jac[270] + vX_[86] * jac[275] + vX_[24] * jac[274]) - vX_[80] * vX_[470]) / vX_[82];
+ vX_[660] = jac[270] + jac[285];
+ vX_[654] = vX_[708] * vX_[384] + vX_[709] * vX_[470] + vX_[710] * vX_[605];
+ vX_[470] = vX_[10] * vX_[384] + vX_[33] * vX_[470] + vX_[57] * vX_[605];
+ jac[286] = (0 - vX_[17] * vX_[605] - vX_[6] * (vX_[55] * vX_[660] + vX_[38] * vX_[606]) - vX_[23] * (vX_[38] * vX_[660] + vX_[33] * vX_[606]) - vX_[15] * vX_[654] - vX_[43] * vX_[470]) / vX_[17];
+ vX_[605] = vX_[605] + jac[286];
+ jac[287] = (0 - 0.1104774 * (vX_[20] * vX_[654] + vX_[712] * vX_[470] + vX_[714] * vX_[605]) - 0.0004405 * (vX_[37] * vX_[654] + vX_[20] * vX_[470] + vX_[34] * vX_[605]) - 0.026181 * vX_[605]) / 0.026181;
+ vX_[605] = -1 * sin(x_in[8]);
+ vX_[470] = cos(x_in[8]);
+ vX_[654] = vX_[605] * vX_[593] + vX_[470] * vX_[617];
+ vX_[660] = vX_[654] * vX_[622];
+ vX_[606] = 0.35 * vX_[470];
+ vX_[384] = vX_[470] * vX_[628] + vX_[605] * vX_[614] + vX_[606] * vX_[602];
+ vX_[447] = vX_[624] * vX_[384];
+ vX_[526] = - vX_[470];
+ vX_[908] = vX_[526] * vX_[593] + vX_[605] * vX_[617];
+ vX_[422] = vX_[619] * vX_[908] + vX_[654] * vX_[632];
+ vX_[950] = vX_[908] * vX_[624];
+ vX_[543] = (- vX_[384]) * x_in[26];
+ vX_[909] = - vX_[470];
+ vX_[651] = 0.35 * vX_[605];
+ vX_[828] = vX_[605] * vX_[628] + vX_[909] * vX_[614] + vX_[651] * vX_[602];
+ vX_[639] = vX_[828] * x_in[26];
+ vX_[589] = vX_[908] * x_in[26];
+ vX_[554] = vX_[908] * vX_[622] - vX_[624] * vX_[828];
+ vX_[621] = 0.1104774 * (vX_[447] - vX_[660]) + 0.025941 * vX_[422] - 0.0004405 * vX_[554];
+ vX_[635] = 0 - vX_[621];
+ vX_[644] = vX_[619] * vX_[654] + vX_[654] * vX_[619];
+ vX_[576] = -0.881 * (vX_[660] - vX_[447]) + 0.1104774 * vX_[422] + -8.81e-05 * vX_[950] + 0.414812462825713 * vX_[543] + 0.00185880198235362 * vX_[639] + 8.81e-05 * vX_[589] + (0.1104774 * vX_[635]) / 0.026181 - 0.0004405 * vX_[644];
+ vX_[638] = vX_[654] * vX_[624];
+ vX_[581] = (- vX_[654]) * x_in[26];
+ vX_[412] = vX_[632] * vX_[908] + vX_[908] * vX_[632];
+ vX_[422] = 0.881 * vX_[554] + -8.81e-05 * vX_[638] + 0.0004405 * vX_[422] + 0.00185880198235362 * vX_[543] + 0.880992588508842 * vX_[639] + -8.81e-05 * vX_[581] + (-0.0004405 * vX_[635]) / 0.026181 - 0.1104774 * vX_[412];
+ vX_[626] = 8.81e-05 * vX_[470];
+ vX_[456] = -8.81e-05 * vX_[605];
+ vX_[454] = -0.35 * vX_[605];
+ vX_[583] = 0.00185880198235362 * vX_[606] - 0.414812462825713 * vX_[454];
+ vX_[411] = 0.881 * vX_[454];
+ vX_[394] = vX_[583] + vX_[411];
+ vX_[552] = 0.880992588508842 * vX_[606] - 0.00185880198235362 * vX_[454];
+ vX_[400] = - 0.881 * vX_[606];
+ vX_[653] = vX_[552] + vX_[400];
+ vX_[674] = - vX_[411];
+ vX_[972] = vX_[362] * vX_[674] + vX_[605] * vX_[376] + vX_[365] * vX_[400] + vX_[526] * vX_[380];
+ vX_[658] = vX_[377] * vX_[605] + vX_[394] * vX_[362] + vX_[381] * vX_[470] + vX_[653] * vX_[364] + vX_[972];
+ vX_[552] = vX_[378] * vX_[606] + vX_[552] * vX_[367] - (vX_[374] * vX_[454] + vX_[583] * vX_[370]);
+ vX_[583] = (vX_[658] - vX_[386] * vX_[552]) / vX_[385];
+ vX_[378] = -8.81e-05 * vX_[606];
+ vX_[374] = 2. * vX_[378];
+ vX_[455] = - 8.81e-05 * vX_[454];
+ vX_[983] = 2. * vX_[455];
+ vX_[378] = - vX_[378];
+ vX_[652] = vX_[369] * vX_[605] + vX_[374] * vX_[362] + vX_[372] * vX_[470] + vX_[983] * vX_[364] + vX_[365] * vX_[455] + vX_[526] * vX_[371] + vX_[362] * vX_[378] + vX_[605] * vX_[368];
+ vX_[600] = vX_[390] * vX_[605] + vX_[626] * vX_[362] + vX_[391] * vX_[470] + vX_[456] * vX_[364] - (vX_[392] * vX_[583] + vX_[652] * vX_[386]);
+ vX_[730] = 8.81e-05 * vX_[605];
+ vX_[432] = -8.81e-05 * vX_[526];
+ vX_[378] = vX_[369] * vX_[526] + vX_[374] * vX_[365] + vX_[372] * vX_[605] + vX_[983] * vX_[362] - (vX_[362] * vX_[455] + vX_[605] * vX_[371]) - (vX_[364] * vX_[378] + vX_[470] * vX_[368]);
+ vX_[983] = vX_[363] * vX_[605] + vX_[730] * vX_[362] + vX_[366] * vX_[470] + vX_[432] * vX_[364] - (vX_[373] * vX_[583] + vX_[378] * vX_[386]);
+ vX_[455] = -7.4114911576828e-06 * vX_[470] + 0.00185880198235362 * vX_[605];
+ vX_[374] = 0.00185880198235362 * vX_[470] + -0.466187537174287 * vX_[605];
+ vX_[368] = vX_[417] * vX_[470] + vX_[455] * vX_[364] + vX_[418] * vX_[605] + vX_[374] * vX_[362];
+ vX_[372] = vX_[368] - (vX_[383] * vX_[583] + vX_[658] * vX_[386]);
+ vX_[674] = vX_[364] * vX_[674] + vX_[470] * vX_[376] + vX_[362] * vX_[400] + vX_[605] * vX_[380];
+ vX_[653] = vX_[377] * vX_[526] + vX_[394] * vX_[365] + vX_[381] * vX_[605] + vX_[653] * vX_[362] - vX_[674];
+ vX_[374] = vX_[418] * vX_[526] + vX_[374] * vX_[365] + vX_[417] * vX_[605] + vX_[455] * vX_[362] - (vX_[396] * vX_[583] + vX_[653] * vX_[386]);
+ vX_[621] = (0.026181 * vX_[635]) / 0.026181 + vX_[621] + vX_[637] * vX_[576] + vX_[651] * vX_[663] + vX_[367] * vX_[422] + vX_[606] * vX_[627];
+ vX_[455] = 0 - vX_[621];
+ vX_[678] = vX_[362] * vX_[576] + vX_[605] * vX_[663] + vX_[364] * vX_[422] + vX_[470] * vX_[627] + vX_[600] * vX_[668] + vX_[983] * vX_[669] + vX_[372] * vX_[671] + vX_[374] * vX_[672] + (vX_[383] * vX_[455] + vX_[658] * vX_[623] - vX_[678] * vX_[552]) / vX_[385];
+ vX_[583] = (vX_[653] - vX_[397] * vX_[552]) / vX_[385];
+ vX_[456] = vX_[390] * vX_[526] + vX_[626] * vX_[365] + vX_[391] * vX_[605] + vX_[456] * vX_[362] - (vX_[392] * vX_[583] + vX_[652] * vX_[397]);
+ vX_[432] = vX_[363] * vX_[526] + vX_[730] * vX_[365] + vX_[366] * vX_[605] + vX_[432] * vX_[362] - (vX_[373] * vX_[583] + vX_[378] * vX_[397]);
+ vX_[583] = 0 - vX_[368] - (vX_[396] * vX_[583] + vX_[653] * vX_[397]);
+ vX_[422] = vX_[636] * vX_[576] + vX_[909] * vX_[663] + vX_[362] * vX_[422] + vX_[605] * vX_[627] + vX_[456] * vX_[668] + vX_[432] * vX_[669] + vX_[374] * vX_[671] + vX_[583] * vX_[672] + (vX_[396] * vX_[455] + vX_[653] * vX_[623] - vX_[609] * vX_[552]) / vX_[385];
+ vX_[576] = vX_[410] * vX_[583] - vX_[408] * vX_[374];
+ vX_[609] = vX_[410] * vX_[374] - vX_[408] * vX_[372];
+ vX_[627] = vX_[576] * vX_[410] - vX_[609] * vX_[408];
+ vX_[663] = vX_[432] * vX_[410] - vX_[983] * vX_[408];
+ vX_[368] = vX_[456] * vX_[410] - vX_[600] * vX_[408];
+ vX_[397] = - vX_[368];
+ vX_[730] = vX_[389] * vX_[663] + vX_[361] * vX_[397];
+ vX_[411] = -0.2209548 * vX_[454] + vX_[375] * vX_[454] + vX_[411] * vX_[370] - vX_[552];
+ vX_[375] = 0 - 0.000881 * vX_[606] - (vX_[379] * vX_[606] + vX_[400] * vX_[367]) - vX_[552];
+ vX_[400] = 0.0004405 * vX_[454] + vX_[379] * vX_[454] + vX_[400] * vX_[370] - -0.1104774 * vX_[606];
+ vX_[404] = vX_[364] * vX_[375] + vX_[470] * vX_[404] + vX_[362] * vX_[400] + vX_[605] * vX_[401];
+ vX_[400] = vX_[364] * vX_[400] + vX_[470] * vX_[401] + vX_[362] * vX_[411] + vX_[605] * vX_[402];
+ vX_[402] = vX_[405] * vX_[470] + vX_[404] * vX_[364] + vX_[403] * vX_[605] + vX_[400] * vX_[362];
+ vX_[375] = vX_[411] + vX_[375] + vX_[552] - vX_[402] - (vX_[373] * (vX_[378] - vX_[427] * vX_[552]) / vX_[385] + vX_[378] * vX_[427]);
+ vX_[411] = vX_[375] - 2. * vX_[674] * vX_[410] - vX_[627];
+ vX_[427] = (vX_[652] - vX_[406] * vX_[552]) / vX_[385];
+ vX_[400] = vX_[403] * vX_[526] + vX_[400] * vX_[365] + vX_[405] * vX_[605] + vX_[404] * vX_[362] - (vX_[373] * vX_[427] + vX_[378] * vX_[406]);
+ vX_[972] = 0 - vX_[972];
+ vX_[410] = vX_[400] + vX_[674] * vX_[408] - vX_[972] * vX_[410];
+ vX_[404] = vX_[388] * vX_[411] + vX_[361] * vX_[410];
+ vX_[427] = vX_[552] + vX_[402] - (vX_[392] * vX_[427] + vX_[652] * vX_[406]);
+ vX_[408] = 2. * vX_[972] * vX_[408] + vX_[427] - vX_[627];
+ vX_[410] = vX_[388] * vX_[410] + vX_[361] * vX_[408];
+ vX_[402] = vX_[404] * vX_[388] + vX_[410] * vX_[361];
+ vX_[406] = vX_[627] + vX_[402];
+ vX_[405] = (vX_[730] - vX_[524] * vX_[406]) / vX_[435];
+ vX_[403] = vX_[627] - (vX_[472] * vX_[405] + vX_[730] * vX_[524]);
+ vX_[410] = vX_[410] * vX_[389] + vX_[404] * vX_[361];
+ vX_[405] = -1 * 2. * vX_[368] * vX_[389] + -1 * 2. * vX_[663] * vX_[361] + vX_[361] * vX_[663] + vX_[388] * vX_[397] - (vX_[430] * vX_[405] + vX_[410] * vX_[524]);
+ vX_[397] = - vX_[972];
+ vX_[368] = vX_[361] * vX_[397] + vX_[389] * vX_[674];
+ vX_[663] = (vX_[368] - vX_[450] * vX_[406]) / vX_[435];
+ vX_[524] = -(vX_[472] * vX_[663] + vX_[730] * vX_[450]);
+ vX_[609] = -1 * (vX_[609] + vX_[972]);
+ vX_[576] = -1 * (vX_[576] + vX_[674]);
+ vX_[397] = vX_[388] * vX_[397] + vX_[361] * vX_[674];
+ vX_[404] = vX_[388] * vX_[432] + vX_[361] * vX_[456];
+ vX_[401] = vX_[388] * vX_[983] + vX_[361] * vX_[600];
+ vX_[454] = vX_[404] * vX_[361] + vX_[401] * vX_[389];
+ vX_[379] = (vX_[454] - vX_[436] * vX_[406]) / vX_[435];
+ vX_[370] = vX_[609] * vX_[389] + vX_[576] * vX_[361] + vX_[397] - (vX_[472] * vX_[379] + vX_[730] * vX_[436]);
+ vX_[828] = vX_[619] * vX_[828] + vX_[654] * vX_[641] - (vX_[632] * vX_[384] + vX_[908] * vX_[629]);
+ vX_[554] = -8.81e-05 * vX_[554] + -8.81e-05 * vX_[639] + 0.026409 * vX_[581] - 0.1104774 * vX_[828] - 0.025713 * vX_[638];
+ vX_[447] = 0.0004405 * vX_[828] + -8.81e-05 * (vX_[660] - vX_[447]) + -0.000227999999999999 * vX_[950] + 8.81e-05 * vX_[543] + 0.000468 * vX_[589];
+ vX_[828] = 0.881 * vX_[828] + 0.1104774 * vX_[638] + 0.0004405 * vX_[950] + -0.1104774 * vX_[581] + 0.0004405 * vX_[589] - -8.81e-05 * (vX_[412] + vX_[644]);
+ vX_[427] = vX_[362] * vX_[554] + vX_[605] * vX_[634] + vX_[364] * vX_[447] + vX_[470] * vX_[647] + -0.35 * vX_[828] + vX_[427] * vX_[668] + vX_[400] * vX_[669] + vX_[600] * vX_[671] + vX_[456] * vX_[672] + (vX_[392] * vX_[455] + vX_[652] * vX_[623] - vX_[667] * vX_[552]) / vX_[385];
+ vX_[447] = vX_[365] * vX_[554] + vX_[526] * vX_[634] + vX_[362] * vX_[447] + vX_[605] * vX_[647] + vX_[400] * vX_[668] + vX_[375] * vX_[669] + vX_[983] * vX_[671] + vX_[432] * vX_[672] + (vX_[373] * vX_[455] + vX_[378] * vX_[623] - vX_[664] * vX_[552]) / vX_[385];
+ vX_[828] = vX_[828] + vX_[972] * vX_[668] + vX_[674] * vX_[669];
+ vX_[972] = vX_[361] * vX_[427] + vX_[388] * vX_[447] + -0.08 * vX_[828];
+ vX_[674] = 0 - vX_[972];
+ vX_[621] = vX_[592] * vX_[678] + vX_[409] * vX_[422] + -1 * (vX_[621] + (vX_[385] * vX_[455] + vX_[552] * vX_[623] - vX_[680] * vX_[552]) / vX_[385]) + vX_[403] * vX_[682] + vX_[405] * vX_[683] + vX_[524] * vX_[685] + vX_[370] * vX_[686] + (vX_[472] * vX_[674] + vX_[730] * vX_[673] - vX_[676] * vX_[406]) / vX_[435];
+ vX_[402] = vX_[408] + vX_[411] + vX_[627] - vX_[402] - (vX_[430] * (vX_[410] - vX_[533] * vX_[406]) / vX_[435] + vX_[410] * vX_[533]);
+ vX_[397] = 0 - vX_[397] - (vX_[430] * vX_[663] + vX_[410] * vX_[450]);
+ vX_[983] = vX_[361] * vX_[983] + vX_[389] * vX_[600];
+ vX_[432] = vX_[361] * vX_[432] + vX_[389] * vX_[456];
+ vX_[456] = vX_[983] * vX_[389] + vX_[432] * vX_[361] - (vX_[430] * vX_[379] + vX_[410] * vX_[436]);
+ vX_[447] = vX_[389] * vX_[427] + vX_[361] * vX_[447] + vX_[405] * vX_[682] + vX_[402] * vX_[683] + vX_[397] * vX_[685] + vX_[456] * vX_[686] + (vX_[430] * vX_[674] + vX_[410] * vX_[673] - vX_[656] * vX_[406]) / vX_[435];
+ vX_[401] = vX_[404] * vX_[388] + vX_[401] * vX_[361];
+ vX_[404] = (vX_[401] - vX_[458] * vX_[406]) / vX_[435];
+ vX_[576] = vX_[609] * vX_[361] + vX_[576] * vX_[388] - vX_[368] - (vX_[472] * vX_[404] + vX_[730] * vX_[458]);
+ vX_[432] = vX_[983] * vX_[361] + vX_[432] * vX_[388] - (vX_[430] * vX_[404] + vX_[410] * vX_[458]);
+ vX_[983] = -(vX_[449] * vX_[404] + vX_[368] * vX_[458]);
+ vX_[609] = vX_[388] * vX_[374] + vX_[361] * vX_[372];
+ vX_[374] = vX_[388] * vX_[583] + vX_[361] * vX_[374];
+ vX_[427] = vX_[609] * vX_[389] + vX_[374] * vX_[361] - (vX_[433] * vX_[404] + vX_[454] * vX_[458]);
+ vX_[840] = vX_[361] * vX_[678] + vX_[388] * vX_[422] + vX_[576] * vX_[682] + vX_[432] * vX_[683] + vX_[983] * vX_[685] + vX_[427] * vX_[686] + (vX_[457] * vX_[674] + vX_[401] * vX_[673] - vX_[840] * vX_[406]) / vX_[435];
+ vX_[656] = -(vX_[449] * vX_[663] + vX_[368] * vX_[450]);
+ vX_[663] = -(vX_[433] * vX_[663] + vX_[454] * vX_[450]);
+ vX_[828] = -1 * vX_[828] + vX_[524] * vX_[682] + vX_[397] * vX_[683] + vX_[656] * vX_[685] + vX_[663] * vX_[686] + (vX_[449] * vX_[674] + vX_[368] * vX_[673] - vX_[661] * vX_[406]) / vX_[435];
+ vX_[374] = vX_[374] * vX_[388] + vX_[609] * vX_[361];
+ vX_[379] = vX_[372] + vX_[583] - vX_[374] - (vX_[433] * vX_[379] + vX_[454] * vX_[436]);
+ vX_[422] = vX_[625] * vX_[678] + vX_[361] * vX_[422] + vX_[370] * vX_[682] + vX_[456] * vX_[683] + vX_[663] * vX_[685] + vX_[379] * vX_[686] + (vX_[433] * vX_[674] + vX_[454] * vX_[673] - vX_[662] * vX_[406]) / vX_[435];
+ vX_[374] = vX_[374] - (vX_[457] * vX_[404] + vX_[401] * vX_[458]);
+ vX_[404] = vX_[464] * vX_[374] - vX_[444] * vX_[427];
+ vX_[458] = vX_[464] * vX_[427] - vX_[444] * vX_[379];
+ vX_[678] = vX_[439] * vX_[379] - vX_[464] * vX_[663];
+ vX_[662] = vX_[439] * vX_[663] - vX_[464] * vX_[656];
+ vX_[686] = vX_[678] * vX_[439] - vX_[662] * vX_[464];
+ vX_[403] = 2. * vX_[576] * vX_[464] + vX_[403] + vX_[404] * vX_[464] - 2. * vX_[370] * vX_[444] - vX_[458] * vX_[444] - vX_[686];
+ vX_[685] = vX_[444] * vX_[656] - vX_[439] * vX_[983];
+ vX_[683] = vX_[444] * vX_[983] - vX_[439] * vX_[374];
+ vX_[402] = 2. * vX_[397] * vX_[444] + vX_[402] + vX_[685] * vX_[444] - 2. * vX_[432] * vX_[439] - vX_[683] * vX_[439] - vX_[686];
+ vX_[682] = vX_[444] * vX_[663];
+ vX_[583] = vX_[439] * vX_[427];
+ vX_[372] = vX_[682] - vX_[583];
+ vX_[405] = vX_[524] * vX_[444] + vX_[405] + vX_[432] * vX_[464] + vX_[683] * vX_[464] - vX_[456] * vX_[444] - vX_[576] * vX_[439] - vX_[372] * vX_[444];
+ vX_[444] = vX_[360] * vX_[405];
+ vX_[436] = (vX_[441] * vX_[402] + vX_[444]) * vX_[441] + (vX_[441] * vX_[405] + vX_[360] * vX_[403]) * vX_[360];
+ vX_[405] = vX_[360] * vX_[402] + vX_[440] * vX_[405];
+ vX_[444] = vX_[444] + vX_[440] * vX_[403];
+ vX_[609] = vX_[405] * vX_[360] + vX_[444] * vX_[440];
+ vX_[402] = vX_[403] + vX_[402] + vX_[686] - vX_[436] - vX_[609];
+ vX_[972] = (vX_[596] * vX_[828] + vX_[438] * vX_[422] + -1 * (vX_[972] + (vX_[435] * vX_[674] + vX_[406] * vX_[673] - vX_[843] * vX_[406]) / vX_[435]) - vX_[872] * vX_[402]) / vX_[573];
+ vX_[843] = vX_[464] * vX_[983];
+ vX_[682] = vX_[843] - vX_[682];
+ vX_[673] = vX_[524] * vX_[464] + vX_[682] * vX_[464] - vX_[370] * vX_[439] - vX_[458] * vX_[439];
+ vX_[464] = vX_[456] * vX_[439] + vX_[372] * vX_[439] - vX_[397] * vX_[464] - vX_[685] * vX_[464];
+ vX_[439] = vX_[360] * vX_[673] + vX_[440] * vX_[464];
+ vX_[403] = (vX_[439] - vX_[688] * vX_[402]) / vX_[573];
+ vX_[436] = vX_[686] + vX_[436] - (vX_[689] * vX_[403] + vX_[439] * vX_[688]);
+ vX_[661] = (vX_[360] * vX_[621] + vX_[441] * vX_[447] + vX_[442] * vX_[828] + vX_[611] * vX_[422] - (vX_[689] * vX_[972] + vX_[439] * vX_[872]) - vX_[561] * vX_[436]) / vX_[570];
+ vX_[444] = vX_[405] * vX_[441] + vX_[444] * vX_[360];
+ vX_[464] = 0 - vX_[360] * vX_[464] - vX_[441] * vX_[673];
+ vX_[673] = vX_[444] - (vX_[480] * vX_[403] + vX_[464] * vX_[688]);
+ vX_[405] = (vX_[464] - vX_[574] * vX_[402]) / vX_[573];
+ vX_[444] = (vX_[444] - (vX_[689] * vX_[405] + vX_[439] * vX_[574]) - vX_[586] * vX_[436]) / vX_[570];
+ vX_[609] = vX_[686] + vX_[609] - (vX_[687] * vX_[444] + vX_[673] * vX_[586]) - (vX_[480] * vX_[405] + vX_[464] * vX_[574]);
+ vX_[447] = (vX_[440] * vX_[621] + vX_[360] * vX_[447] + 0.207 * vX_[840] + vX_[443] * vX_[828] + vX_[610] * vX_[422] - (vX_[687] * vX_[661] + vX_[673] * vX_[561]) - (vX_[480] * vX_[972] + vX_[464] * vX_[872]) - vX_[563] * vX_[609]) / vX_[572];
+ vX_[685] = vX_[685] + vX_[397];
+ vX_[843] = vX_[583] - vX_[843];
+ vX_[682] = vX_[524] + vX_[682] - vX_[843];
+ vX_[524] = vX_[441] * vX_[685] + vX_[360] * vX_[682];
+ vX_[372] = vX_[456] + vX_[372] - vX_[843];
+ vX_[458] = vX_[458] + vX_[370];
+ vX_[370] = vX_[441] * vX_[372] + vX_[360] * vX_[458];
+ vX_[456] = vX_[524] * vX_[360] + vX_[370] * vX_[441] + vX_[843];
+ vX_[404] = vX_[404] + vX_[576];
+ vX_[662] = -1 * (vX_[662] + vX_[404]);
+ vX_[683] = vX_[683] + vX_[432];
+ vX_[678] = -1 * (vX_[678] + vX_[683]);
+ vX_[404] = - vX_[404];
+ vX_[432] = vX_[360] * vX_[404] + vX_[440] * vX_[683];
+ vX_[576] = vX_[662] * vX_[360] + vX_[678] * vX_[441] - vX_[432];
+ vX_[583] = vX_[456] - (vX_[933] * vX_[403] + vX_[576] * vX_[688]);
+ vX_[458] = vX_[360] * vX_[372] + vX_[440] * vX_[458];
+ vX_[682] = vX_[360] * vX_[685] + vX_[440] * vX_[682];
+ vX_[685] = vX_[458] * vX_[441] + vX_[682] * vX_[360];
+ vX_[372] = vX_[685] - (vX_[913] * vX_[444] + vX_[583] * vX_[586]) - (vX_[933] * vX_[405] + vX_[576] * vX_[574]);
+ vX_[397] = vX_[432] - (vX_[949] * vX_[403] + vX_[843] * vX_[688]);
+ vX_[404] = vX_[441] * vX_[404] + vX_[360] * vX_[683];
+ vX_[683] = - vX_[404];
+ vX_[621] = vX_[683] - (vX_[932] * vX_[444] + vX_[397] * vX_[586]) - (vX_[949] * vX_[405] + vX_[843] * vX_[574]);
+ vX_[656] = vX_[656] - vX_[374];
+ vX_[379] = vX_[379] - vX_[374];
+ vX_[686] = vX_[360] * vX_[663];
+ vX_[450] = (vX_[441] * vX_[379] + vX_[686]) * vX_[441] + (vX_[441] * vX_[663] + vX_[360] * vX_[656]) * vX_[360];
+ vX_[663] = vX_[360] * vX_[379] + vX_[440] * vX_[663];
+ vX_[686] = vX_[686] + vX_[440] * vX_[656];
+ vX_[600] = vX_[663] * vX_[360] + vX_[686] * vX_[440];
+ vX_[408] = (vX_[843] - vX_[937] * vX_[402]) / vX_[573];
+ vX_[432] = (vX_[432] - (vX_[689] * vX_[408] + vX_[439] * vX_[937]) - vX_[938] * vX_[436]) / vX_[570];
+ vX_[683] = (vX_[683] - (vX_[687] * vX_[432] + vX_[673] * vX_[938]) - (vX_[480] * vX_[408] + vX_[464] * vX_[937]) - vX_[947] * vX_[609]) / vX_[572];
+ vX_[379] = vX_[656] + vX_[379] + vX_[374] - vX_[450] - vX_[600] - (vX_[932] * vX_[432] + vX_[397] * vX_[938]) - (vX_[949] * vX_[408] + vX_[843] * vX_[937]) - (vX_[946] * vX_[683] + vX_[621] * vX_[947]);
+ vX_[840] = (-1 * vX_[840] - (vX_[932] * vX_[661] + vX_[397] * vX_[561]) - (vX_[949] * vX_[972] + vX_[843] * vX_[872]) - (vX_[946] * vX_[447] + vX_[621] * vX_[563]) - vX_[618] * vX_[379]) / vX_[976];
+ vX_[983] = - vX_[983];
+ vX_[656] = vX_[360] * vX_[983] + vX_[440] * vX_[427];
+ vX_[411] = vX_[656] - (vX_[913] * vX_[432] + vX_[583] * vX_[938]) - (vX_[933] * vX_[408] + vX_[576] * vX_[937]) - (vX_[722] * vX_[683] + vX_[372] * vX_[947]);
+ vX_[627] = (vX_[576] - vX_[934] * vX_[402]) / vX_[573];
+ vX_[456] = (vX_[456] - (vX_[689] * vX_[627] + vX_[439] * vX_[934]) - vX_[935] * vX_[436]) / vX_[570];
+ vX_[685] = (vX_[685] - (vX_[687] * vX_[456] + vX_[673] * vX_[935]) - (vX_[480] * vX_[627] + vX_[464] * vX_[934]) - vX_[936] * vX_[609]) / vX_[572];
+ vX_[656] = (vX_[656] - (vX_[932] * vX_[456] + vX_[397] * vX_[935]) - (vX_[949] * vX_[627] + vX_[843] * vX_[934]) - (vX_[946] * vX_[685] + vX_[621] * vX_[936]) - vX_[919] * vX_[379]) / vX_[976];
+ vX_[450] = vX_[374] + vX_[450] - (vX_[913] * vX_[456] + vX_[583] * vX_[935]) - (vX_[933] * vX_[627] + vX_[576] * vX_[934]) - (vX_[722] * vX_[685] + vX_[372] * vX_[936]) - (vX_[948] * vX_[656] + vX_[411] * vX_[919]);
+ vX_[533] = (vX_[597] * vX_[828] + vX_[612] * vX_[422] - (vX_[913] * vX_[661] + vX_[583] * vX_[561]) - (vX_[933] * vX_[972] + vX_[576] * vX_[872]) - (vX_[722] * vX_[447] + vX_[372] * vX_[563]) - (vX_[948] * vX_[840] + vX_[411] * vX_[618]) - vX_[899] * vX_[450]) / vX_[973];
+ vX_[370] = vX_[370] * vX_[360] + vX_[524] * vX_[440];
+ vX_[404] = vX_[662] * vX_[440] + vX_[678] * vX_[360] + vX_[404];
+ vX_[678] = vX_[370] - (vX_[945] * vX_[403] + vX_[404] * vX_[688]);
+ vX_[682] = vX_[682] * vX_[440] + vX_[458] * vX_[360] + vX_[843];
+ vX_[458] = vX_[682] - (vX_[977] * vX_[444] + vX_[678] * vX_[586]) - (vX_[945] * vX_[405] + vX_[404] * vX_[574]);
+ vX_[983] = 0 - vX_[360] * vX_[427] - vX_[441] * vX_[983];
+ vX_[427] = vX_[983] - (vX_[977] * vX_[432] + vX_[678] * vX_[938]) - (vX_[945] * vX_[408] + vX_[404] * vX_[937]) - (vX_[474] * vX_[683] + vX_[458] * vX_[947]);
+ vX_[686] = vX_[663] * vX_[441] + vX_[686] * vX_[360];
+ vX_[663] = vX_[686] - (vX_[977] * vX_[456] + vX_[678] * vX_[935]) - (vX_[945] * vX_[627] + vX_[404] * vX_[934]) - (vX_[474] * vX_[685] + vX_[458] * vX_[936]) - (vX_[984] * vX_[656] + vX_[427] * vX_[919]);
+ vX_[402] = (vX_[404] - vX_[978] * vX_[402]) / vX_[573];
+ vX_[370] = (vX_[370] - (vX_[689] * vX_[402] + vX_[439] * vX_[978]) - vX_[979] * vX_[436]) / vX_[570];
+ vX_[682] = (vX_[682] - (vX_[687] * vX_[370] + vX_[673] * vX_[979]) - (vX_[480] * vX_[402] + vX_[464] * vX_[978]) - vX_[980] * vX_[609]) / vX_[572];
+ vX_[983] = (vX_[983] - (vX_[932] * vX_[370] + vX_[397] * vX_[979]) - (vX_[949] * vX_[402] + vX_[843] * vX_[978]) - (vX_[946] * vX_[682] + vX_[621] * vX_[980]) - vX_[985] * vX_[379]) / vX_[976];
+ vX_[686] = (vX_[686] - (vX_[913] * vX_[370] + vX_[583] * vX_[979]) - (vX_[933] * vX_[402] + vX_[576] * vX_[978]) - (vX_[722] * vX_[682] + vX_[372] * vX_[980]) - (vX_[948] * vX_[983] + vX_[411] * vX_[985]) - vX_[986] * vX_[450]) / vX_[973];
+ vX_[663] = (vX_[440] * vX_[828] + vX_[359] * vX_[422] - (vX_[977] * vX_[661] + vX_[678] * vX_[561]) - (vX_[945] * vX_[972] + vX_[404] * vX_[872]) - (vX_[474] * vX_[447] + vX_[458] * vX_[563]) - (vX_[984] * vX_[840] + vX_[427] * vX_[618]) - (vX_[955] * vX_[533] + vX_[663] * vX_[899]) - vX_[568] * (vX_[374] + vX_[600] - (vX_[977] * vX_[370] + vX_[678] * vX_[979]) - (vX_[945] * vX_[402] + vX_[404] * vX_[978]) - (vX_[474] * vX_[682] + vX_[458] * vX_[980]) - (vX_[984] * vX_[983] + vX_[427] * vX_[985]) - (vX_[955] * vX_[686] + vX_[663] * vX_[986]))) / vX_[975];
+ jac[311] = - vX_[663];
+ vX_[686] = vX_[533] - (vX_[986] * vX_[663] + vX_[686] * vX_[568]);
+ jac[310] = - vX_[686];
+ vX_[983] = vX_[840] - (vX_[985] * vX_[663] + vX_[983] * vX_[568]) - (vX_[919] * vX_[686] + vX_[656] * vX_[358]);
+ jac[309] = - vX_[983];
+ vX_[682] = vX_[447] - (vX_[936] * vX_[686] + vX_[685] * vX_[358]) - (vX_[947] * vX_[983] + vX_[683] * vX_[912]) - (vX_[980] * vX_[663] + vX_[682] * vX_[568]);
+ jac[308] = - vX_[682];
+ vX_[370] = vX_[661] - (vX_[938] * vX_[983] + vX_[432] * vX_[912]) - (vX_[586] * vX_[682] + vX_[444] * vX_[452]) - (vX_[935] * vX_[686] + vX_[456] * vX_[358]) - (vX_[979] * vX_[663] + vX_[370] * vX_[568]);
+ jac[306] = vX_[574] * vX_[682] + vX_[405] * vX_[452] + vX_[688] * vX_[370] + vX_[403] * vX_[885] + vX_[937] * vX_[983] + vX_[408] * vX_[912] + vX_[934] * vX_[686] + vX_[627] * vX_[358] + vX_[978] * vX_[663] + vX_[402] * vX_[568] - vX_[972];
+ jac[307] = - vX_[370];
+ vX_[370] = -1 * jac[306];
+ vX_[682] = vX_[440] * jac[308] + vX_[360] * jac[307];
+ vX_[983] = vX_[360] * jac[308] + vX_[441] * jac[307];
+ vX_[686] = -1 * jac[309];
+ vX_[663] = 0.207 * jac[308] + vX_[686];
+ vX_[402] = vX_[610] * jac[308] + vX_[611] * jac[307] + vX_[438] * jac[306] + vX_[359] * jac[311] + vX_[612] * jac[310];
+ jac[312] = (vX_[674] - (vX_[435] * vX_[370] + vX_[406] * vX_[475]) - (vX_[472] * vX_[682] + vX_[730] * vX_[453]) - (vX_[430] * vX_[983] + vX_[410] * vX_[425]) - (vX_[457] * vX_[663] + vX_[401] * vX_[575]) - (vX_[449] * (vX_[443] * jac[308] + vX_[442] * jac[307] + vX_[596] * jac[306] + vX_[440] * jac[311] + vX_[597] * jac[310]) + vX_[368] * vX_[423]) - (vX_[433] * vX_[402] + vX_[454] * vX_[431]) - vX_[646] * vX_[406]) / vX_[435];
+ vX_[401] = -1 * vX_[682];
+ vX_[674] = -1 * vX_[453];
+ vX_[454] = vX_[370] + jac[312];
+ vX_[668] = vX_[361] * vX_[446] + vX_[389] * vX_[425] + vX_[668];
+ vX_[446] = vX_[388] * vX_[446] + vX_[361] * vX_[425] + vX_[669];
+ vX_[425] = vX_[361] * vX_[663] + vX_[625] * vX_[402] + vX_[592] * vX_[682];
+ vX_[671] = vX_[361] * vX_[575] + vX_[625] * vX_[431] + vX_[592] * vX_[453] + vX_[671];
+ vX_[402] = vX_[388] * vX_[663] + vX_[361] * vX_[402] + vX_[409] * vX_[682];
+ vX_[431] = vX_[388] * vX_[575] + vX_[361] * vX_[431] + vX_[409] * vX_[453] + vX_[672];
+ vX_[623] = (vX_[623] - vX_[385] * vX_[674] - vX_[392] * vX_[668] - vX_[373] * vX_[446] - vX_[383] * vX_[671] - vX_[396] * vX_[431]) / vX_[385];
+ jac[313] = (vX_[455] - (vX_[385] * vX_[401] + vX_[552] * vX_[674]) - (vX_[392] * (vX_[361] * vX_[454] + vX_[389] * vX_[983]) + vX_[652] * vX_[668]) - (vX_[373] * (vX_[388] * vX_[454] + vX_[361] * vX_[983]) + vX_[378] * vX_[446]) - (vX_[383] * vX_[425] + vX_[658] * vX_[671]) - (vX_[396] * vX_[402] + vX_[653] * vX_[431]) - vX_[623] * vX_[552]) / vX_[385];
+ vX_[401] = vX_[401] + jac[313];
+ vX_[623] = vX_[674] + vX_[623];
+ jac[314] = (vX_[635] - 0.1104774 * (vX_[362] * vX_[425] + vX_[605] * vX_[671] + vX_[636] * vX_[402] + vX_[909] * vX_[431] + vX_[637] * vX_[401] + vX_[651] * vX_[623] + vX_[543]) - -0.0004405 * (vX_[364] * vX_[425] + vX_[470] * vX_[671] + vX_[362] * vX_[402] + vX_[605] * vX_[431] + vX_[367] * vX_[401] + vX_[606] * vX_[623] + vX_[639]) - 0.026181 * vX_[401]) / 0.026181;
+ vX_[623] = vX_[318] * jac[308] + vX_[239] * jac[307];
+ vX_[401] = vX_[320] * jac[308] + vX_[318] * jac[307];
+ vX_[431] = 0.207 * jac[308] + jac[309];
+ vX_[402] = vX_[830] * jac[308] + vX_[831] * jac[307] + vX_[317] * jac[306] + vX_[832] * jac[311] + vX_[318] * jac[310];
+ jac[315] = (0 - vX_[314] * jac[306] - vX_[350] * vX_[623] - vX_[309] * vX_[401] - vX_[335] * vX_[431] - vX_[327] * (vX_[321] * jac[308] + vX_[319] * jac[307] + vX_[845] * jac[306] + vX_[318] * jac[311] + vX_[239] * jac[310]) - vX_[312] * vX_[402]) / vX_[314];
+ vX_[671] = jac[306] + jac[315];
+ vX_[425] = vX_[850] * vX_[431] + vX_[851] * vX_[402] + vX_[852] * vX_[623];
+ vX_[402] = vX_[267] * vX_[431] + vX_[240] * vX_[402] + vX_[289] * vX_[623];
+ jac[316] = (0 - vX_[264] * vX_[623] - vX_[271] * (vX_[287] * vX_[671] + vX_[268] * vX_[401]) - vX_[252] * (vX_[268] * vX_[671] + vX_[240] * vX_[401]) - vX_[262] * vX_[425] - vX_[275] * vX_[402]) / vX_[264];
+ vX_[623] = vX_[623] + jac[316];
+ jac[317] = (0 - 0.1104774 * (vX_[241] * vX_[425] + vX_[854] * vX_[402] + vX_[856] * vX_[623]) - -0.0004405 * (vX_[243] * vX_[425] + vX_[241] * vX_[402] + vX_[246] * vX_[623]) - 0.026181 * vX_[623]) / 0.026181;
+ vX_[623] = vX_[198] * jac[308] + vX_[128] * jac[307];
+ vX_[402] = vX_[128] * jac[308] + vX_[199] * jac[307];
+ vX_[686] = 0.207 * jac[308] + vX_[686];
+ vX_[425] = vX_[762] * jac[308] + vX_[763] * jac[307] + vX_[196] * jac[306] + vX_[764] * jac[311] + vX_[765] * jac[310];
+ jac[318] = (0 - vX_[193] * vX_[370] - vX_[230] * vX_[623] - vX_[188] * vX_[402] - vX_[215] * vX_[686] - vX_[207] * (vX_[201] * jac[308] + vX_[200] * jac[307] + vX_[701] * jac[306] + vX_[198] * jac[311] + vX_[127] * jac[310]) - vX_[191] * vX_[425]) / vX_[193];
+ vX_[671] = -1 * vX_[623];
+ vX_[370] = vX_[370] + jac[318];
+ vX_[401] = vX_[129] * vX_[686] + vX_[772] * vX_[425] + vX_[773] * vX_[623];
+ vX_[425] = vX_[149] * vX_[686] + vX_[129] * vX_[425] + vX_[167] * vX_[623];
+ jac[319] = (0 - vX_[146] * vX_[671] - 2.1e-05 * (vX_[129] * vX_[370] + vX_[150] * vX_[402]) - -0.000102 * (vX_[149] * vX_[370] + vX_[129] * vX_[402]) - vX_[144] * vX_[401] - vX_[154] * vX_[425]) / vX_[146];
+ vX_[671] = vX_[671] + jac[319];
+ jac[320] = (0 - 0.110125 * (vX_[132] * vX_[401] + vX_[782] * vX_[425] + vX_[783] * vX_[671]) - 0.000881 * (vX_[130] * vX_[401] + vX_[132] * vX_[425] + vX_[131] * vX_[671]) - 0.026181 * vX_[671]) / 0.026181;
+ vX_[671] = vX_[86] * jac[308] + vX_[24] * jac[307];
+ vX_[425] = vX_[88] * jac[308] + vX_[86] * jac[307];
+ vX_[401] = 0.207 * jac[308] + jac[309];
+ vX_[370] = vX_[649] * jac[308] + vX_[608] * jac[307] + vX_[85] * jac[306] + vX_[616] * jac[311] + vX_[86] * jac[310];
+ jac[321] = (0 - vX_[82] * jac[306] - vX_[118] * vX_[671] - vX_[77] * vX_[425] - vX_[103] * vX_[401] - vX_[95] * (vX_[89] * jac[308] + vX_[87] * jac[307] + vX_[703] * jac[306] + vX_[86] * jac[311] + vX_[24] * jac[310]) - vX_[80] * vX_[370]) / vX_[82];
+ vX_[402] = jac[306] + jac[321];
+ vX_[686] = vX_[708] * vX_[401] + vX_[709] * vX_[370] + vX_[710] * vX_[671];
+ vX_[370] = vX_[10] * vX_[401] + vX_[33] * vX_[370] + vX_[57] * vX_[671];
+ jac[322] = (0 - vX_[17] * vX_[671] - vX_[6] * (vX_[55] * vX_[402] + vX_[38] * vX_[425]) - vX_[23] * (vX_[38] * vX_[402] + vX_[33] * vX_[425]) - vX_[15] * vX_[686] - vX_[43] * vX_[370]) / vX_[17];
+ vX_[671] = vX_[671] + jac[322];
+ jac[323] = (0 - 0.1104774 * (vX_[20] * vX_[686] + vX_[712] * vX_[370] + vX_[714] * vX_[671]) - 0.0004405 * (vX_[37] * vX_[686] + vX_[20] * vX_[370] + vX_[34] * vX_[671]) - 0.026181 * vX_[671]) / 0.026181;
+ vX_[671] = -1 * sin(x_in[9]);
+ vX_[370] = cos(x_in[9]);
+ vX_[686] = vX_[671] * x_in[19] + vX_[370] * x_in[20];
+ vX_[402] = 0.3735 * vX_[671];
+ vX_[425] = -0.3735 * vX_[370];
+ vX_[401] = -0.207 * vX_[370];
+ vX_[623] = vX_[402] * x_in[20] + vX_[425] * x_in[19] + vX_[401] * x_in[18] + vX_[370] * x_in[23] + vX_[671] * x_in[22];
+ vX_[431] = vX_[686] * vX_[835] - vX_[829] * vX_[623];
+ vX_[635] = vX_[686] * vX_[829];
+ vX_[639] = - vX_[671];
+ vX_[651] = vX_[370] * x_in[19] + vX_[639] * x_in[20];
+ vX_[909] = vX_[826] * vX_[651] + vX_[651] * vX_[826];
+ vX_[543] = 0.3735 * vX_[370];
+ vX_[606] = 0.3735 * vX_[671];
+ vX_[470] = 0.207 * vX_[671];
+ vX_[605] = - vX_[671];
+ vX_[674] = vX_[543] * x_in[20] + vX_[606] * x_in[19] + vX_[470] * x_in[18] + vX_[605] * x_in[23] + vX_[370] * x_in[22];
+ vX_[446] = vX_[240] * vX_[674] + vX_[289] * vX_[686];
+ vX_[668] = vX_[839] * vX_[446] + vX_[686] * vX_[855];
+ vX_[454] = vX_[240] * vX_[651];
+ vX_[983] = vX_[842] * vX_[623] + vX_[454] * vX_[847];
+ vX_[455] = vX_[268] * vX_[651];
+ vX_[653] = vX_[842] * vX_[455] + vX_[454] * vX_[838];
+ vX_[378] = vX_[842] * vX_[686] + vX_[454] * vX_[839];
+ vX_[652] = vX_[851] * vX_[674] + vX_[852] * vX_[686];
+ vX_[552] = vX_[243] * vX_[652] + vX_[241] * vX_[446] + vX_[246] * vX_[686];
+ vX_[658] = vX_[849] * vX_[552] + vX_[686] * vX_[863];
+ vX_[575] = -0.35 * vX_[455] + vX_[623];
+ vX_[453] = vX_[241] * vX_[454] + vX_[243] * vX_[455];
+ vX_[672] = vX_[860] * vX_[575] + vX_[453] * vX_[848];
+ vX_[663] = vX_[244] * vX_[454] + vX_[241] * vX_[455];
+ vX_[682] = vX_[860] * vX_[663] + vX_[453] * vX_[844];
+ vX_[669] = vX_[241] * vX_[652] + vX_[854] * vX_[446] + vX_[856] * vX_[686];
+ vX_[575] = vX_[844] * vX_[575] + vX_[663] * vX_[848] - (vX_[849] * vX_[669] + vX_[686] * vX_[857]);
+ vX_[368] = 0.1104774 * (vX_[658] - vX_[672]) + 0.025941 * vX_[682] - 0.0004405 * vX_[575];
+ vX_[410] = 0 - vX_[368];
+ vX_[406] = vX_[844] * vX_[686] + vX_[663] * vX_[849];
+ vX_[730] = (- vX_[552]) * x_in[29];
+ vX_[646] = vX_[669] * x_in[29];
+ vX_[423] = vX_[663] * x_in[29];
+ vX_[627] = vX_[849] * vX_[686] + vX_[686] * vX_[849];
+ vX_[408] = vX_[860] * vX_[453] + vX_[453] * vX_[860];
+ vX_[405] = -0.881 * (vX_[672] - vX_[658]) + 0.1104774 * vX_[682] + -8.81e-05 * vX_[406] + 0.414812462825713 * vX_[730] + 0.00185880198235362 * vX_[646] + 8.81e-05 * vX_[423] + (0.1104774 * vX_[410]) / 0.026181 - 0.0004405 * (vX_[627] + vX_[408]);
+ vX_[403] = vX_[860] * vX_[686] + vX_[453] * vX_[849];
+ vX_[972] = (- vX_[453]) * x_in[29];
+ vX_[456] = vX_[844] * vX_[663] + vX_[663] * vX_[844];
+ vX_[627] = 0.881 * vX_[575] + -8.81e-05 * vX_[403] + 0.0004405 * vX_[682] + 0.00185880198235362 * vX_[730] + 0.880992588508842 * vX_[646] + -8.81e-05 * vX_[972] + (-0.0004405 * vX_[410]) / 0.026181 - 0.1104774 * (vX_[627] + vX_[456]);
+ vX_[682] = vX_[838] * vX_[623] + vX_[455] * vX_[847] - (vX_[839] * vX_[652] + vX_[686] * vX_[853]);
+ vX_[432] = vX_[838] * vX_[686] + vX_[455] * vX_[839];
+ vX_[444] = vX_[838] * vX_[455] + vX_[455] * vX_[838];
+ vX_[661] = vX_[842] * vX_[454] + vX_[454] * vX_[842];
+ vX_[368] = 0.47422804 * (vX_[668] - vX_[983]) + 0.081641 * vX_[653] + 2.1e-05 * vX_[378] + (0.026181 * vX_[410]) / 0.026181 + vX_[368] + vX_[856] * vX_[405] + vX_[246] * vX_[627] - -0.0825825 * vX_[682] - 0.000102 * vX_[432] - 0.007418 * (vX_[444] - vX_[661]);
+ vX_[685] = 0 - vX_[368];
+ vX_[683] = (- vX_[454]) * x_in[28];
+ vX_[447] = vX_[455] * x_in[28];
+ vX_[656] = (- vX_[446]) * x_in[28];
+ vX_[840] = vX_[652] * x_in[28];
+ vX_[533] = vX_[839] * vX_[686] + vX_[686] * vX_[839];
+ vX_[983] = -3.146 * (vX_[983] - vX_[668]) + 0.47422804 * vX_[653] + vX_[241] * vX_[405] + vX_[243] * vX_[627] + vX_[272] * vX_[683] + vX_[266] * vX_[447] + vX_[298] * vX_[656] + vX_[300] * vX_[840] + (vX_[262] * vX_[685]) / vX_[264] - -0.0825825 * (vX_[533] + vX_[661]);
+ vX_[682] = 3.146 * vX_[682] + -0.0825825 * vX_[653] + vX_[854] * vX_[405] + vX_[241] * vX_[627] + vX_[278] * vX_[683] + vX_[277] * vX_[447] + vX_[300] * vX_[656] + vX_[299] * vX_[840] + (vX_[275] * vX_[685]) / vX_[264] - 0.47422804 * (vX_[533] + vX_[444]);
+ vX_[627] = (- vX_[651]) * x_in[27];
+ vX_[405] = vX_[686] * x_in[27];
+ vX_[668] = (- vX_[674]) * x_in[27];
+ vX_[427] = vX_[623] * x_in[27];
+ vX_[458] = vX_[826] * vX_[686] + vX_[651] * vX_[827];
+ vX_[678] = vX_[829] * vX_[674];
+ vX_[404] = vX_[651] * vX_[835];
+ vX_[600] = vX_[651] * vX_[829];
+ vX_[669] = vX_[860] * vX_[669] + vX_[453] * vX_[857] - (vX_[844] * vX_[552] + vX_[663] * vX_[863]);
+ vX_[575] = -8.81e-05 * vX_[575] + -8.81e-05 * vX_[646] + 0.026409 * vX_[972] - 0.1104774 * vX_[669] - 0.025713 * vX_[403];
+ vX_[672] = 0.0004405 * vX_[669] + -8.81e-05 * (vX_[672] - vX_[658]) + -0.000227999999999999 * vX_[406] + 8.81e-05 * vX_[730] + 0.000468 * vX_[423];
+ vX_[669] = 0.881 * vX_[669] + 0.1104774 * vX_[403] + 0.0004405 * vX_[406] + -0.1104774 * vX_[972] + 0.0004405 * vX_[423] - -8.81e-05 * (vX_[456] + vX_[408]);
+ vX_[652] = vX_[842] * vX_[652] + vX_[454] * vX_[853] - (vX_[838] * vX_[446] + vX_[455] * vX_[855]);
+ vX_[661] = 0.007418 * vX_[432] + 0.000102 * (vX_[533] - vX_[661]) + vX_[241] * vX_[575] + vX_[243] * vX_[672] + -0.35 * vX_[669] + vX_[294] * vX_[683] + vX_[286] * vX_[447] + vX_[272] * vX_[656] + vX_[278] * vX_[840] + (vX_[271] * vX_[685]) / vX_[264] - 0.47422804 * vX_[652] - 0.084376 * vX_[378] - 2.1e-05 * vX_[653];
+ vX_[672] = 0.002735 * vX_[432] + -0.0825825 * vX_[652] + 0.000102 * vX_[653] + vX_[244] * vX_[575] + vX_[241] * vX_[672] + vX_[286] * vX_[683] + vX_[293] * vX_[447] + vX_[266] * vX_[656] + vX_[277] * vX_[840] + (vX_[252] * vX_[685]) / vX_[264] - 0.007418 * vX_[378] - 2.1e-05 * (vX_[533] - vX_[444]);
+ vX_[652] = 0.47422804 * vX_[378] + 3.146 * vX_[652] + -0.0825825 * vX_[432] + vX_[669] + vX_[261] * vX_[683] + vX_[274] * vX_[447];
+ vX_[669] = vX_[827] * vX_[686] + vX_[686] * vX_[827];
+ vX_[432] = 0.009466 * vX_[458] + 0.1466472 * (vX_[678] - vX_[404]) + -5.1e-05 * vX_[600] + vX_[287] * vX_[661] + vX_[268] * vX_[672] + 0.08 * vX_[652] - 0.022734 * vX_[635] - 3.6e-05 * (vX_[669] - vX_[909]);
+ vX_[378] = 0 - vX_[432];
+ vX_[674] = vX_[826] * vX_[623] + vX_[651] * vX_[846] - (vX_[827] * vX_[674] + vX_[686] * vX_[833]);
+ vX_[368] = -0.5824264 * vX_[431] + 3.6e-05 * vX_[635] + 0.022734 * (0 - vX_[909]) + (vX_[264] * vX_[685]) / vX_[264] + vX_[368] + vX_[852] * vX_[983] + vX_[289] * vX_[682] + vX_[511] * vX_[627] + vX_[556] * vX_[405] + vX_[351] * vX_[668] + vX_[340] * vX_[427] + (vX_[350] * vX_[378]) / vX_[314] - 0.1466472 * vX_[674] - -0.123672 * vX_[600] - -5.1e-05 * vX_[458];
+ vX_[672] = -0.133138 * vX_[635] + -0.5824264 * (vX_[404] - vX_[678]) + 0.022734 * vX_[458] + vX_[268] * vX_[661] + vX_[240] * vX_[672] + vX_[556] * vX_[627] + vX_[313] * vX_[405] + vX_[341] * vX_[668] + vX_[316] * vX_[427] + (vX_[309] * vX_[378]) / vX_[314] - 3.6e-05 * vX_[600] - -5.1e-05 * (0 - vX_[669]);
+ vX_[674] = 3.44 * vX_[674] + 0.1466472 * vX_[600] + vX_[850] * vX_[983] + vX_[267] * vX_[682] + vX_[326] * vX_[627] + vX_[303] * vX_[405] + vX_[344] * vX_[668] + vX_[337] * vX_[427] + (vX_[335] * vX_[378]) / vX_[314] - -0.5824264 * (vX_[669] + vX_[909]);
+ vX_[652] = 0.1466472 * vX_[458] + -3.44 * (vX_[404] - vX_[678]) + -0.5824264 * vX_[635] + vX_[652] + vX_[351] * vX_[627] + vX_[341] * vX_[405] + vX_[343] * vX_[668] + vX_[329] * vX_[427] + (vX_[327] * vX_[378]) / vX_[314];
+ vX_[669] = 3.44 * vX_[431] + -0.5824264 * vX_[600] + vX_[851] * vX_[983] + vX_[240] * vX_[682] + vX_[340] * vX_[627] + vX_[316] * vX_[405] + vX_[329] * vX_[668] + vX_[355] * vX_[427] + (vX_[312] * vX_[378]) / vX_[314] - 0.1466472 * vX_[669];
+ vX_[600] = 0.207 * vX_[370];
+ vX_[682] = vX_[318] * vX_[425] + vX_[370] * vX_[319] + vX_[320] * vX_[402] + vX_[639] * vX_[321];
+ vX_[983] = vX_[600] * vX_[354] - vX_[682] * vX_[337];
+ vX_[431] = vX_[600] * vX_[337] - vX_[682] * vX_[355];
+ vX_[404] = vX_[470] * vX_[355] - vX_[600] * vX_[329];
+ vX_[678] = vX_[470] * vX_[329] - vX_[600] * vX_[343];
+ vX_[515] = vX_[514] * vX_[470] + vX_[404] * vX_[317] - (vX_[515] * vX_[600] + vX_[678] * vX_[342]);
+ vX_[513] = vX_[509] * vX_[600] + vX_[512] * vX_[600] + vX_[983] * vX_[342] - vX_[513] * vX_[682] - (vX_[356] * vX_[682] + vX_[431] * vX_[322]) - vX_[515];
+ vX_[512] = vX_[682] * vX_[343] - vX_[470] * vX_[344];
+ vX_[354] = vX_[682] * vX_[344] - vX_[470] * vX_[354];
+ vX_[520] = vX_[518] * vX_[682] + vX_[345] * vX_[682] + vX_[512] * vX_[322] - vX_[520] * vX_[470] - (vX_[521] * vX_[470] + vX_[354] * vX_[317]) - vX_[515];
+ vX_[518] = vX_[682] * vX_[329];
+ vX_[509] = vX_[470] * vX_[337];
+ vX_[514] = vX_[518] - vX_[509];
+ vX_[682] = vX_[351] * vX_[682] + vX_[303] * vX_[600] + vX_[521] * vX_[600] + vX_[354] * vX_[342] - vX_[316] * vX_[682] - vX_[326] * vX_[470] - (vX_[339] * vX_[682] + vX_[514] * vX_[322]);
+ vX_[521] = vX_[318] * vX_[682] + vX_[370] * vX_[557];
+ vX_[560] = vX_[558] * vX_[370] + (vX_[318] * vX_[520] + vX_[370] * vX_[522] + vX_[239] * vX_[682] + vX_[671] * vX_[557]) * vX_[318] + vX_[560] * vX_[671] + (vX_[521] + vX_[239] * vX_[513] + vX_[671] * vX_[517]) * vX_[239];
+ vX_[521] = vX_[320] * vX_[520] + vX_[639] * vX_[522] + vX_[521];
+ vX_[682] = vX_[320] * vX_[682] + vX_[639] * vX_[557] + vX_[318] * vX_[513] + vX_[370] * vX_[517];
+ vX_[557] = vX_[559] * vX_[639] + vX_[521] * vX_[320] + vX_[562] * vX_[370] + vX_[682] * vX_[318];
+ vX_[520] = vX_[513] + vX_[520] + vX_[515] - vX_[560] - vX_[557];
+ vX_[432] = ((vX_[314] * vX_[378]) / vX_[314] + vX_[432] + vX_[845] * vX_[652] + vX_[401] * vX_[865] + vX_[317] * vX_[669] + vX_[470] * vX_[841] - vX_[872] * vX_[520]) / vX_[573];
+ vX_[513] = vX_[600] * vX_[344];
+ vX_[518] = vX_[513] - vX_[518];
+ vX_[356] = vX_[351] * vX_[600] + vX_[330] * vX_[600] + vX_[518] * vX_[342] - vX_[340] * vX_[470] - (vX_[356] * vX_[470] + vX_[431] * vX_[317]);
+ vX_[600] = vX_[316] * vX_[470] + vX_[339] * vX_[470] + vX_[514] * vX_[317] - vX_[341] * vX_[600] - (vX_[345] * vX_[600] + vX_[512] * vX_[342]);
+ vX_[345] = vX_[320] * vX_[356] + vX_[639] * vX_[357] + vX_[318] * vX_[600] + vX_[370] * vX_[346];
+ vX_[339] = (vX_[345] - vX_[688] * vX_[520]) / vX_[573];
+ vX_[560] = vX_[515] + vX_[560] - (vX_[689] * vX_[339] + vX_[345] * vX_[688]);
+ vX_[330] = (vX_[239] * vX_[368] + vX_[671] * vX_[896] + vX_[318] * vX_[672] + vX_[370] * vX_[884] + vX_[319] * vX_[652] + vX_[425] * vX_[865] + vX_[831] * vX_[669] + vX_[606] * vX_[841] - (vX_[689] * vX_[432] + vX_[345] * vX_[872]) - vX_[561] * vX_[560]) / vX_[570];
+ vX_[682] = vX_[559] * vX_[370] + vX_[521] * vX_[318] + vX_[562] * vX_[671] + vX_[682] * vX_[239];
+ vX_[600] = 0 - (vX_[239] * vX_[600] + vX_[671] * vX_[346]) - (vX_[318] * vX_[356] + vX_[370] * vX_[357]);
+ vX_[356] = vX_[682] - (vX_[480] * vX_[339] + vX_[600] * vX_[688]);
+ vX_[357] = (vX_[600] - vX_[574] * vX_[520]) / vX_[573];
+ vX_[682] = (vX_[682] - (vX_[689] * vX_[357] + vX_[345] * vX_[574]) - vX_[586] * vX_[560]) / vX_[570];
+ vX_[557] = vX_[515] + vX_[557] - (vX_[687] * vX_[682] + vX_[356] * vX_[586]) - (vX_[480] * vX_[357] + vX_[600] * vX_[574]);
+ vX_[672] = (vX_[318] * vX_[368] + vX_[370] * vX_[896] + vX_[320] * vX_[672] + vX_[639] * vX_[884] + 0.207 * vX_[674] + vX_[321] * vX_[652] + vX_[402] * vX_[865] + vX_[830] * vX_[669] + vX_[543] * vX_[841] - (vX_[687] * vX_[330] + vX_[356] * vX_[561]) - (vX_[480] * vX_[432] + vX_[600] * vX_[872]) - vX_[563] * vX_[557]) / vX_[572];
+ vX_[513] = vX_[509] - vX_[513];
+ vX_[518] = vX_[518] - vX_[513];
+ vX_[509] = vX_[318] * vX_[512] + vX_[370] * vX_[620] + vX_[239] * vX_[518] + vX_[671] * vX_[864];
+ vX_[514] = vX_[514] - vX_[513];
+ vX_[368] = vX_[318] * vX_[514] + vX_[370] * vX_[338] + vX_[239] * vX_[431] + vX_[671] * vX_[691];
+ vX_[884] = vX_[836] * vX_[671] + vX_[509] * vX_[239] + vX_[834] * vX_[370] + vX_[368] * vX_[318] + vX_[513];
+ vX_[678] = vX_[678] + vX_[983];
+ vX_[404] = vX_[404] + vX_[354];
+ vX_[983] = - vX_[983];
+ vX_[896] = vX_[320] * vX_[983] + vX_[639] * vX_[926] + vX_[318] * vX_[354] + vX_[370] * vX_[928];
+ vX_[515] = vX_[927] * vX_[671] + vX_[678] * vX_[239] + vX_[929] * vX_[370] + vX_[404] * vX_[318] - vX_[896];
+ vX_[346] = vX_[884] - (vX_[933] * vX_[339] + vX_[515] * vX_[688]);
+ vX_[514] = vX_[320] * vX_[514] + vX_[639] * vX_[338] + vX_[318] * vX_[431] + vX_[370] * vX_[691];
+ vX_[518] = vX_[320] * vX_[512] + vX_[639] * vX_[620] + vX_[318] * vX_[518] + vX_[370] * vX_[864];
+ vX_[512] = vX_[690] * vX_[370] + vX_[514] * vX_[318] + vX_[837] * vX_[671] + vX_[518] * vX_[239];
+ vX_[864] = vX_[512] - (vX_[913] * vX_[682] + vX_[346] * vX_[586]) - (vX_[933] * vX_[357] + vX_[515] * vX_[574]);
+ vX_[620] = vX_[896] - (vX_[949] * vX_[339] + vX_[513] * vX_[688]);
+ vX_[983] = vX_[318] * vX_[983] + vX_[370] * vX_[926] + vX_[239] * vX_[354] + vX_[671] * vX_[928];
+ vX_[354] = - vX_[983];
+ vX_[926] = vX_[354] - (vX_[932] * vX_[682] + vX_[620] * vX_[586]) - (vX_[949] * vX_[357] + vX_[513] * vX_[574]);
+ vX_[928] = vX_[370] * vX_[329];
+ vX_[966] = vX_[964] * vX_[370] + (vX_[370] * vX_[918] + vX_[671] * vX_[329]) * vX_[318] + vX_[966] * vX_[671] + (vX_[928] + vX_[671] * vX_[924]) * vX_[239];
+ vX_[928] = vX_[639] * vX_[918] + vX_[928];
+ vX_[924] = vX_[639] * vX_[329] + vX_[370] * vX_[924];
+ vX_[918] = vX_[965] * vX_[639] + vX_[928] * vX_[320] + vX_[968] * vX_[370] + vX_[924] * vX_[318];
+ vX_[964] = (vX_[513] - vX_[937] * vX_[520]) / vX_[573];
+ vX_[896] = (vX_[896] - (vX_[689] * vX_[964] + vX_[345] * vX_[937]) - vX_[938] * vX_[560]) / vX_[570];
+ vX_[354] = (vX_[354] - (vX_[687] * vX_[896] + vX_[356] * vX_[938]) - (vX_[480] * vX_[964] + vX_[600] * vX_[937]) - vX_[947] * vX_[557]) / vX_[572];
+ vX_[431] = 0 - vX_[966] - vX_[918] - (vX_[932] * vX_[896] + vX_[620] * vX_[938]) - (vX_[949] * vX_[964] + vX_[513] * vX_[937]) - (vX_[946] * vX_[354] + vX_[926] * vX_[947]);
+ vX_[674] = (vX_[674] - (vX_[932] * vX_[330] + vX_[620] * vX_[561]) - (vX_[949] * vX_[432] + vX_[513] * vX_[872]) - (vX_[946] * vX_[672] + vX_[926] * vX_[563]) - vX_[618] * vX_[431]) / vX_[976];
+ vX_[691] = vX_[639] * vX_[777] + vX_[370] * vX_[337];
+ vX_[338] = vX_[691] - (vX_[913] * vX_[896] + vX_[346] * vX_[938]) - (vX_[933] * vX_[964] + vX_[515] * vX_[937]) - (vX_[722] * vX_[354] + vX_[864] * vX_[947]);
+ vX_[521] = (vX_[515] - vX_[934] * vX_[520]) / vX_[573];
+ vX_[884] = (vX_[884] - (vX_[689] * vX_[521] + vX_[345] * vX_[934]) - vX_[935] * vX_[560]) / vX_[570];
+ vX_[512] = (vX_[512] - (vX_[687] * vX_[884] + vX_[356] * vX_[935]) - (vX_[480] * vX_[521] + vX_[600] * vX_[934]) - vX_[936] * vX_[557]) / vX_[572];
+ vX_[691] = (vX_[691] - (vX_[932] * vX_[884] + vX_[620] * vX_[935]) - (vX_[949] * vX_[521] + vX_[513] * vX_[934]) - (vX_[946] * vX_[512] + vX_[926] * vX_[936]) - vX_[919] * vX_[431]) / vX_[976];
+ vX_[966] = vX_[966] - (vX_[913] * vX_[884] + vX_[346] * vX_[935]) - (vX_[933] * vX_[521] + vX_[515] * vX_[934]) - (vX_[722] * vX_[512] + vX_[864] * vX_[936]) - (vX_[948] * vX_[691] + vX_[338] * vX_[919]);
+ vX_[562] = (vX_[239] * vX_[652] + vX_[671] * vX_[865] + vX_[318] * vX_[669] + vX_[370] * vX_[841] - (vX_[913] * vX_[330] + vX_[346] * vX_[561]) - (vX_[933] * vX_[432] + vX_[515] * vX_[872]) - (vX_[722] * vX_[672] + vX_[864] * vX_[563]) - (vX_[948] * vX_[674] + vX_[338] * vX_[618]) - vX_[899] * vX_[966]) / vX_[973];
+ vX_[368] = vX_[834] * vX_[639] + vX_[368] * vX_[320] + vX_[836] * vX_[370] + vX_[509] * vX_[318];
+ vX_[983] = vX_[927] * vX_[370] + vX_[678] * vX_[318] + vX_[929] * vX_[639] + vX_[404] * vX_[320] + vX_[983];
+ vX_[404] = vX_[368] - (vX_[945] * vX_[339] + vX_[983] * vX_[688]);
+ vX_[518] = vX_[837] * vX_[370] + vX_[518] * vX_[318] + vX_[690] * vX_[639] + vX_[514] * vX_[320] + vX_[513];
+ vX_[514] = vX_[518] - (vX_[977] * vX_[682] + vX_[404] * vX_[586]) - (vX_[945] * vX_[357] + vX_[983] * vX_[574]);
+ vX_[777] = 0 - vX_[671] * vX_[337] - vX_[370] * vX_[777];
+ vX_[837] = vX_[777] - (vX_[977] * vX_[896] + vX_[404] * vX_[938]) - (vX_[945] * vX_[964] + vX_[983] * vX_[937]) - (vX_[474] * vX_[354] + vX_[514] * vX_[947]);
+ vX_[924] = vX_[965] * vX_[370] + vX_[928] * vX_[318] + vX_[968] * vX_[671] + vX_[924] * vX_[239];
+ vX_[928] = vX_[924] - (vX_[977] * vX_[884] + vX_[404] * vX_[935]) - (vX_[945] * vX_[521] + vX_[983] * vX_[934]) - (vX_[474] * vX_[512] + vX_[514] * vX_[936]) - (vX_[984] * vX_[691] + vX_[837] * vX_[919]);
+ vX_[520] = (vX_[983] - vX_[978] * vX_[520]) / vX_[573];
+ vX_[368] = (vX_[368] - (vX_[689] * vX_[520] + vX_[345] * vX_[978]) - vX_[979] * vX_[560]) / vX_[570];
+ vX_[518] = (vX_[518] - (vX_[687] * vX_[368] + vX_[356] * vX_[979]) - (vX_[480] * vX_[520] + vX_[600] * vX_[978]) - vX_[980] * vX_[557]) / vX_[572];
+ vX_[777] = (vX_[777] - (vX_[932] * vX_[368] + vX_[620] * vX_[979]) - (vX_[949] * vX_[520] + vX_[513] * vX_[978]) - (vX_[946] * vX_[518] + vX_[926] * vX_[980]) - vX_[985] * vX_[431]) / vX_[976];
+ vX_[924] = (vX_[924] - (vX_[913] * vX_[368] + vX_[346] * vX_[979]) - (vX_[933] * vX_[520] + vX_[515] * vX_[978]) - (vX_[722] * vX_[518] + vX_[864] * vX_[980]) - (vX_[948] * vX_[777] + vX_[338] * vX_[985]) - vX_[986] * vX_[966]) / vX_[973];
+ vX_[928] = (vX_[318] * vX_[652] + vX_[370] * vX_[865] + vX_[832] * vX_[669] + vX_[605] * vX_[841] - (vX_[977] * vX_[330] + vX_[404] * vX_[561]) - (vX_[945] * vX_[432] + vX_[983] * vX_[872]) - (vX_[474] * vX_[672] + vX_[514] * vX_[563]) - (vX_[984] * vX_[674] + vX_[837] * vX_[618]) - (vX_[955] * vX_[562] + vX_[928] * vX_[899]) - vX_[568] * (vX_[918] - (vX_[977] * vX_[368] + vX_[404] * vX_[979]) - (vX_[945] * vX_[520] + vX_[983] * vX_[978]) - (vX_[474] * vX_[518] + vX_[514] * vX_[980]) - (vX_[984] * vX_[777] + vX_[837] * vX_[985]) - (vX_[955] * vX_[924] + vX_[928] * vX_[986]))) / vX_[975];
+ jac[347] = - vX_[928];
+ vX_[924] = vX_[562] - (vX_[986] * vX_[928] + vX_[924] * vX_[568]);
+ jac[346] = - vX_[924];
+ vX_[777] = vX_[674] - (vX_[985] * vX_[928] + vX_[777] * vX_[568]) - (vX_[919] * vX_[924] + vX_[691] * vX_[358]);
+ jac[345] = - vX_[777];
+ vX_[518] = vX_[672] - (vX_[936] * vX_[924] + vX_[512] * vX_[358]) - (vX_[947] * vX_[777] + vX_[354] * vX_[912]) - (vX_[980] * vX_[928] + vX_[518] * vX_[568]);
+ jac[344] = - vX_[518];
+ vX_[368] = vX_[330] - (vX_[938] * vX_[777] + vX_[896] * vX_[912]) - (vX_[586] * vX_[518] + vX_[682] * vX_[452]) - (vX_[935] * vX_[924] + vX_[884] * vX_[358]) - (vX_[979] * vX_[928] + vX_[368] * vX_[568]);
+ jac[342] = vX_[574] * vX_[518] + vX_[357] * vX_[452] + vX_[688] * vX_[368] + vX_[339] * vX_[885] + vX_[937] * vX_[777] + vX_[964] * vX_[912] + vX_[934] * vX_[924] + vX_[521] * vX_[358] + vX_[978] * vX_[928] + vX_[520] * vX_[568] - vX_[432];
+ jac[343] = - vX_[368];
+ vX_[368] = -1 * jac[342];
+ vX_[518] = vX_[440] * jac[344] + vX_[360] * jac[343];
+ vX_[777] = vX_[360] * jac[344] + vX_[441] * jac[343];
+ vX_[924] = -1 * jac[345];
+ vX_[928] = 0.207 * jac[344] + vX_[924];
+ vX_[520] = vX_[610] * jac[344] + vX_[611] * jac[343] + vX_[438] * jac[342] + vX_[359] * jac[347] + vX_[612] * jac[346];
+ jac[348] = (0 - vX_[435] * vX_[368] - vX_[472] * vX_[518] - vX_[430] * vX_[777] - vX_[457] * vX_[928] - vX_[449] * (vX_[443] * jac[344] + vX_[442] * jac[343] + vX_[596] * jac[342] + vX_[440] * jac[347] + vX_[597] * jac[346]) - vX_[433] * vX_[520]) / vX_[435];
+ vX_[521] = -1 * vX_[518];
+ vX_[964] = vX_[368] + jac[348];
+ vX_[357] = vX_[361] * vX_[928] + vX_[625] * vX_[520] + vX_[592] * vX_[518];
+ vX_[520] = vX_[388] * vX_[928] + vX_[361] * vX_[520] + vX_[409] * vX_[518];
+ jac[349] = (0 - vX_[385] * vX_[521] - vX_[392] * (vX_[361] * vX_[964] + vX_[389] * vX_[777]) - vX_[373] * (vX_[388] * vX_[964] + vX_[361] * vX_[777]) - vX_[383] * vX_[357] - vX_[396] * vX_[520]) / vX_[385];
+ vX_[521] = vX_[521] + jac[349];
+ jac[350] = (0 - 0.1104774 * (vX_[362] * vX_[357] + vX_[636] * vX_[520] + vX_[637] * vX_[521]) - -0.0004405 * (vX_[364] * vX_[357] + vX_[362] * vX_[520] + vX_[367] * vX_[521]) - 0.026181 * vX_[521]) / 0.026181;
+ vX_[627] = vX_[318] * jac[344] + vX_[370] * vX_[532] + vX_[239] * jac[343] + vX_[671] * vX_[530] + vX_[627];
+ vX_[405] = vX_[320] * jac[344] + vX_[639] * vX_[532] + vX_[318] * jac[343] + vX_[370] * vX_[530] + vX_[405];
+ vX_[639] = 0.207 * jac[344] + jac[345];
+ vX_[427] = vX_[830] * jac[344] + vX_[543] * vX_[532] + vX_[831] * jac[343] + vX_[606] * vX_[530] + vX_[317] * jac[342] + vX_[470] * vX_[760] + vX_[832] * jac[347] + vX_[605] * vX_[951] + vX_[318] * jac[346] + vX_[370] * vX_[534] + vX_[427];
+ jac[351] = (vX_[378] - vX_[314] * jac[342] - vX_[350] * vX_[627] - vX_[309] * vX_[405] - vX_[335] * vX_[639] - vX_[327] * (vX_[321] * jac[344] + vX_[402] * vX_[532] + vX_[319] * jac[343] + vX_[425] * vX_[530] + vX_[845] * jac[342] + vX_[401] * vX_[760] + vX_[318] * jac[347] + vX_[370] * vX_[951] + vX_[239] * jac[346] + vX_[671] * vX_[534] + vX_[668]) - vX_[312] * vX_[427]) / vX_[314];
+ vX_[378] = jac[342] + jac[351];
+ vX_[656] = vX_[850] * vX_[639] + vX_[851] * vX_[427] + vX_[852] * vX_[627] + vX_[656];
+ vX_[427] = vX_[267] * vX_[639] + vX_[240] * vX_[427] + vX_[289] * vX_[627] + vX_[840];
+ jac[352] = (vX_[685] - vX_[264] * vX_[627] - vX_[271] * (vX_[287] * vX_[378] + vX_[268] * vX_[405] + vX_[683]) - vX_[252] * (vX_[268] * vX_[378] + vX_[240] * vX_[405] + vX_[447]) - vX_[262] * vX_[656] - vX_[275] * vX_[427]) / vX_[264];
+ vX_[627] = vX_[627] + jac[352];
+ jac[353] = (vX_[410] - 0.1104774 * (vX_[241] * vX_[656] + vX_[854] * vX_[427] + vX_[856] * vX_[627] + vX_[730]) - -0.0004405 * (vX_[243] * vX_[656] + vX_[241] * vX_[427] + vX_[246] * vX_[627] + vX_[646]) - 0.026181 * vX_[627]) / 0.026181;
+ vX_[627] = vX_[198] * jac[344] + vX_[128] * jac[343];
+ vX_[427] = vX_[128] * jac[344] + vX_[199] * jac[343];
+ vX_[924] = 0.207 * jac[344] + vX_[924];
+ vX_[656] = vX_[762] * jac[344] + vX_[763] * jac[343] + vX_[196] * jac[342] + vX_[764] * jac[347] + vX_[765] * jac[346];
+ jac[354] = (0 - vX_[193] * vX_[368] - vX_[230] * vX_[627] - vX_[188] * vX_[427] - vX_[215] * vX_[924] - vX_[207] * (vX_[201] * jac[344] + vX_[200] * jac[343] + vX_[701] * jac[342] + vX_[198] * jac[347] + vX_[127] * jac[346]) - vX_[191] * vX_[656]) / vX_[193];
+ vX_[646] = -1 * vX_[627];
+ vX_[368] = vX_[368] + jac[354];
+ vX_[730] = vX_[129] * vX_[924] + vX_[772] * vX_[656] + vX_[773] * vX_[627];
+ vX_[656] = vX_[149] * vX_[924] + vX_[129] * vX_[656] + vX_[167] * vX_[627];
+ jac[355] = (0 - vX_[146] * vX_[646] - 2.1e-05 * (vX_[129] * vX_[368] + vX_[150] * vX_[427]) - -0.000102 * (vX_[149] * vX_[368] + vX_[129] * vX_[427]) - vX_[144] * vX_[730] - vX_[154] * vX_[656]) / vX_[146];
+ vX_[646] = vX_[646] + jac[355];
+ jac[356] = (0 - 0.110125 * (vX_[132] * vX_[730] + vX_[782] * vX_[656] + vX_[783] * vX_[646]) - 0.000881 * (vX_[130] * vX_[730] + vX_[132] * vX_[656] + vX_[131] * vX_[646]) - 0.026181 * vX_[646]) / 0.026181;
+ vX_[646] = vX_[86] * jac[344] + vX_[24] * jac[343];
+ vX_[656] = vX_[88] * jac[344] + vX_[86] * jac[343];
+ vX_[730] = 0.207 * jac[344] + jac[345];
+ vX_[368] = vX_[649] * jac[344] + vX_[608] * jac[343] + vX_[85] * jac[342] + vX_[616] * jac[347] + vX_[86] * jac[346];
+ jac[357] = (0 - vX_[82] * jac[342] - vX_[118] * vX_[646] - vX_[77] * vX_[656] - vX_[103] * vX_[730] - vX_[95] * (vX_[89] * jac[344] + vX_[87] * jac[343] + vX_[703] * jac[342] + vX_[86] * jac[347] + vX_[24] * jac[346]) - vX_[80] * vX_[368]) / vX_[82];
+ vX_[427] = jac[342] + jac[357];
+ vX_[924] = vX_[708] * vX_[730] + vX_[709] * vX_[368] + vX_[710] * vX_[646];
+ vX_[368] = vX_[10] * vX_[730] + vX_[33] * vX_[368] + vX_[57] * vX_[646];
+ jac[358] = (0 - vX_[17] * vX_[646] - vX_[6] * (vX_[55] * vX_[427] + vX_[38] * vX_[656]) - vX_[23] * (vX_[38] * vX_[427] + vX_[33] * vX_[656]) - vX_[15] * vX_[924] - vX_[43] * vX_[368]) / vX_[17];
+ vX_[646] = vX_[646] + jac[358];
+ jac[359] = (0 - 0.1104774 * (vX_[20] * vX_[924] + vX_[712] * vX_[368] + vX_[714] * vX_[646]) - 0.0004405 * (vX_[37] * vX_[924] + vX_[20] * vX_[368] + vX_[34] * vX_[646]) - 0.026181 * vX_[646]) / 0.026181;
+ vX_[646] = cos(x_in[10]);
+ vX_[368] = - vX_[646];
+ vX_[924] = -1 * sin(x_in[10]);
+ vX_[427] = 0.08 * vX_[646];
+ vX_[656] = vX_[368] * vX_[835] + vX_[924] * vX_[833] + vX_[427] * vX_[827];
+ vX_[730] = vX_[839] * vX_[656];
+ vX_[627] = - vX_[646];
+ vX_[410] = vX_[924] * vX_[826] + vX_[627] * vX_[829];
+ vX_[378] = vX_[410] * vX_[847];
+ vX_[405] = - vX_[924];
+ vX_[447] = vX_[627] * vX_[826] + vX_[405] * vX_[829];
+ vX_[683] = vX_[842] * vX_[447] + vX_[410] * vX_[838];
+ vX_[685] = vX_[410] * vX_[839];
+ vX_[639] = - vX_[924];
+ vX_[646] = - vX_[646];
+ vX_[840] = 0.08 * vX_[924];
+ vX_[668] = vX_[639] * vX_[835] + vX_[646] * vX_[833] + vX_[840] * vX_[827];
+ vX_[401] = vX_[243] * vX_[668] + vX_[241] * vX_[656];
+ vX_[425] = vX_[849] * vX_[401];
+ vX_[402] = -0.35 * vX_[447];
+ vX_[370] = vX_[241] * vX_[410] + vX_[243] * vX_[447];
+ vX_[671] = vX_[860] * vX_[402] + vX_[370] * vX_[848];
+ vX_[605] = vX_[244] * vX_[410] + vX_[241] * vX_[447];
+ vX_[470] = vX_[860] * vX_[605] + vX_[370] * vX_[844];
+ vX_[606] = vX_[241] * vX_[668] + vX_[854] * vX_[656];
+ vX_[402] = vX_[844] * vX_[402] + vX_[605] * vX_[848] - vX_[849] * vX_[606];
+ vX_[543] = 0.1104774 * (vX_[425] - vX_[671]) + 0.025941 * vX_[470] - 0.0004405 * vX_[402];
+ vX_[521] = 0 - vX_[543];
+ vX_[520] = vX_[605] * vX_[849];
+ vX_[357] = (- vX_[401]) * x_in[29];
+ vX_[964] = vX_[606] * x_in[29];
+ vX_[777] = vX_[605] * x_in[29];
+ vX_[928] = vX_[860] * vX_[370] + vX_[370] * vX_[860];
+ vX_[518] = -0.881 * (vX_[671] - vX_[425]) + 0.1104774 * vX_[470] + -8.81e-05 * vX_[520] + 0.414812462825713 * vX_[357] + 0.00185880198235362 * vX_[964] + 8.81e-05 * vX_[777] + (0.1104774 * vX_[521]) / 0.026181 - 0.0004405 * vX_[928];
+ vX_[339] = vX_[370] * vX_[849];
+ vX_[432] = (- vX_[370]) * x_in[29];
+ vX_[884] = vX_[844] * vX_[605] + vX_[605] * vX_[844];
+ vX_[470] = 0.881 * vX_[402] + -8.81e-05 * vX_[339] + 0.0004405 * vX_[470] + 0.00185880198235362 * vX_[357] + 0.880992588508842 * vX_[964] + -8.81e-05 * vX_[432] + (-0.0004405 * vX_[521]) / 0.026181 - 0.1104774 * vX_[884];
+ vX_[896] = vX_[447] * vX_[847] - vX_[839] * vX_[668];
+ vX_[682] = vX_[447] * vX_[839];
+ vX_[330] = vX_[838] * vX_[447] + vX_[447] * vX_[838];
+ vX_[512] = vX_[842] * vX_[410] + vX_[410] * vX_[842];
+ vX_[543] = 0.47422804 * (vX_[730] - vX_[378]) + 0.081641 * vX_[683] + 2.1e-05 * vX_[685] + (0.026181 * vX_[521]) / 0.026181 + vX_[543] + vX_[856] * vX_[518] + vX_[246] * vX_[470] - -0.0825825 * vX_[896] - 0.000102 * vX_[682] - 0.007418 * (vX_[330] - vX_[512]);
+ vX_[354] = 0 - vX_[543];
+ vX_[672] = (- vX_[410]) * x_in[28];
+ vX_[691] = vX_[447] * x_in[28];
+ vX_[674] = (- vX_[656]) * x_in[28];
+ vX_[562] = vX_[668] * x_in[28];
+ vX_[378] = -3.146 * (vX_[378] - vX_[730]) + 0.47422804 * vX_[683] + vX_[241] * vX_[518] + vX_[243] * vX_[470] + vX_[272] * vX_[672] + vX_[266] * vX_[691] + vX_[298] * vX_[674] + vX_[300] * vX_[562] + (vX_[262] * vX_[354]) / vX_[264] - -0.0825825 * vX_[512];
+ vX_[896] = 3.146 * vX_[896] + -0.0825825 * vX_[683] + vX_[854] * vX_[518] + vX_[241] * vX_[470] + vX_[278] * vX_[672] + vX_[277] * vX_[691] + vX_[300] * vX_[674] + vX_[299] * vX_[562] + (vX_[275] * vX_[354]) / vX_[264] - 0.47422804 * vX_[330];
+ vX_[470] = 0.08 * vX_[405];
+ vX_[518] = vX_[427] * vX_[299] - vX_[470] * vX_[300];
+ vX_[730] = vX_[427] * vX_[300] - vX_[470] * vX_[298];
+ vX_[302] = vX_[301] * vX_[427] + vX_[518] * vX_[289] - (vX_[302] * vX_[470] + vX_[730] * vX_[288]);
+ vX_[301] = vX_[277] * vX_[427] - vX_[266] * vX_[470];
+ vX_[837] = vX_[278] * vX_[427] - vX_[272] * vX_[470];
+ vX_[514] = - vX_[837];
+ vX_[404] = vX_[268] * vX_[301] + vX_[627] * vX_[347] + vX_[240] * vX_[514] + vX_[924] * vX_[349];
+ vX_[983] = - 4.027 * vX_[427];
+ vX_[263] = 0 - vX_[263] * vX_[427] - (vX_[290] * vX_[427] + vX_[983] * vX_[289]) - vX_[302];
+ vX_[290] = vX_[274] * vX_[470] + vX_[290] * vX_[470] + vX_[983] * vX_[288] - vX_[261] * vX_[427];
+ vX_[307] = vX_[268] * vX_[263] + vX_[627] * vX_[307] + vX_[287] * vX_[290] + vX_[405] * vX_[291];
+ vX_[918] = 4.027 * vX_[470];
+ vX_[470] = vX_[292] * vX_[470] + vX_[295] * vX_[470] + vX_[918] * vX_[288] - vX_[302];
+ vX_[290] = vX_[268] * vX_[290] + vX_[627] * vX_[291] + vX_[287] * vX_[470] + vX_[405] * vX_[304];
+ vX_[304] = vX_[308] * vX_[627] + vX_[307] * vX_[268] + vX_[305] * vX_[405] + vX_[290] * vX_[287];
+ vX_[291] = vX_[302] + vX_[304];
+ vX_[295] = (vX_[404] - vX_[510] * vX_[291]) / vX_[314];
+ vX_[292] = vX_[302] - (vX_[350] * vX_[295] + vX_[404] * vX_[510]);
+ vX_[290] = vX_[305] * vX_[627] + vX_[290] * vX_[268] + vX_[308] * vX_[924] + vX_[307] * vX_[240];
+ vX_[295] = vX_[348] * vX_[627] + 2. * vX_[837] * vX_[268] + vX_[555] * vX_[924] + 2. * vX_[301] * vX_[240] + vX_[287] * vX_[301] + vX_[405] * vX_[347] + vX_[268] * vX_[514] + vX_[627] * vX_[349] - (vX_[309] * vX_[295] + vX_[290] * vX_[510]);
+ vX_[514] = - vX_[918];
+ vX_[837] = vX_[240] * vX_[514] + vX_[924] * vX_[324] + vX_[268] * vX_[983] + vX_[627] * vX_[325];
+ vX_[301] = (vX_[837] - vX_[328] * vX_[291]) / vX_[314];
+ vX_[555] = -(vX_[350] * vX_[301] + vX_[404] * vX_[328]);
+ vX_[918] = vX_[730] + vX_[918];
+ vX_[518] = vX_[518] + vX_[983];
+ vX_[514] = vX_[268] * vX_[514] + vX_[627] * vX_[324] + vX_[287] * vX_[983] + vX_[405] * vX_[325];
+ vX_[983] = vX_[627] * vX_[277] + vX_[405] * vX_[278];
+ vX_[325] = vX_[627] * vX_[266] + vX_[405] * vX_[272];
+ vX_[324] = vX_[310] * vX_[924] + vX_[983] * vX_[240] + vX_[311] * vX_[627] + vX_[325] * vX_[268];
+ vX_[730] = (vX_[324] - vX_[315] * vX_[291]) / vX_[314];
+ vX_[348] = vX_[323] * vX_[627] + vX_[918] * vX_[268] + vX_[353] * vX_[924] + vX_[518] * vX_[240] + vX_[514] - (vX_[350] * vX_[730] + vX_[404] * vX_[315]);
+ vX_[606] = vX_[860] * vX_[606] + vX_[370] * vX_[857] - (vX_[844] * vX_[401] + vX_[605] * vX_[863]);
+ vX_[402] = -8.81e-05 * vX_[402] + -8.81e-05 * vX_[964] + 0.026409 * vX_[432] - 0.1104774 * vX_[606] - 0.025713 * vX_[339];
+ vX_[671] = 0.0004405 * vX_[606] + -8.81e-05 * (vX_[671] - vX_[425]) + -0.000227999999999999 * vX_[520] + 8.81e-05 * vX_[357] + 0.000468 * vX_[777];
+ vX_[606] = 0.881 * vX_[606] + 0.1104774 * vX_[339] + 0.0004405 * vX_[520] + -0.1104774 * vX_[432] + 0.0004405 * vX_[777] - -8.81e-05 * (vX_[884] + vX_[928]);
+ vX_[668] = vX_[842] * vX_[668] + vX_[410] * vX_[853] - (vX_[838] * vX_[656] + vX_[447] * vX_[855]);
+ vX_[512] = 0.007418 * vX_[682] + 0.000102 * (0 - vX_[512]) + vX_[241] * vX_[402] + vX_[243] * vX_[671] + -0.35 * vX_[606] + vX_[294] * vX_[672] + vX_[286] * vX_[691] + vX_[272] * vX_[674] + vX_[278] * vX_[562] + (vX_[271] * vX_[354]) / vX_[264] - 0.47422804 * vX_[668] - 0.084376 * vX_[685] - 2.1e-05 * vX_[683];
+ vX_[671] = 0.002735 * vX_[682] + -0.0825825 * vX_[668] + 0.000102 * vX_[683] + vX_[244] * vX_[402] + vX_[241] * vX_[671] + vX_[286] * vX_[672] + vX_[293] * vX_[691] + vX_[266] * vX_[674] + vX_[277] * vX_[562] + (vX_[252] * vX_[354]) / vX_[264] - 0.007418 * vX_[685] - 2.1e-05 * (0 - vX_[330]);
+ vX_[668] = 0.47422804 * vX_[685] + 3.146 * vX_[668] + -0.0825825 * vX_[682] + vX_[606] + vX_[261] * vX_[672] + vX_[274] * vX_[691];
+ vX_[606] = vX_[287] * vX_[512] + vX_[405] * vX_[862] + vX_[268] * vX_[671] + vX_[627] * vX_[858] + 0.08 * vX_[668];
+ vX_[682] = 0 - vX_[606];
+ vX_[543] = (vX_[264] * vX_[354]) / vX_[264] + vX_[543] + vX_[852] * vX_[378] + vX_[840] * vX_[883] + vX_[289] * vX_[896] + vX_[427] * vX_[874] + vX_[292] * vX_[890] + vX_[295] * vX_[891] + vX_[555] * vX_[893] + vX_[348] * vX_[894] + (vX_[350] * vX_[682] + vX_[404] * vX_[869] - vX_[767] * vX_[291]) / vX_[314];
+ vX_[304] = vX_[470] + vX_[263] + vX_[302] - vX_[304] - (vX_[309] * (vX_[290] - vX_[519] * vX_[291]) / vX_[314] + vX_[290] * vX_[519]);
+ vX_[514] = 0 - vX_[514] - (vX_[309] * vX_[301] + vX_[290] * vX_[328]);
+ vX_[470] = vX_[924] * vX_[266] + vX_[627] * vX_[272];
+ vX_[263] = vX_[924] * vX_[277] + vX_[627] * vX_[278];
+ vX_[302] = vX_[273] * vX_[627] + vX_[470] * vX_[268] + vX_[279] * vX_[924] + vX_[263] * vX_[240] - (vX_[309] * vX_[730] + vX_[290] * vX_[315]);
+ vX_[671] = vX_[268] * vX_[512] + vX_[627] * vX_[862] + vX_[240] * vX_[671] + vX_[924] * vX_[858] + vX_[295] * vX_[890] + vX_[304] * vX_[891] + vX_[514] * vX_[893] + vX_[302] * vX_[894] + (vX_[309] * vX_[682] + vX_[290] * vX_[869] - vX_[888] * vX_[291]) / vX_[314];
+ vX_[325] = vX_[310] * vX_[627] + vX_[983] * vX_[268] + vX_[311] * vX_[405] + vX_[325] * vX_[287];
+ vX_[983] = (vX_[325] - vX_[336] * vX_[291]) / vX_[314];
+ vX_[518] = vX_[323] * vX_[405] + vX_[918] * vX_[287] + vX_[353] * vX_[627] + vX_[518] * vX_[268] - vX_[837] - (vX_[350] * vX_[983] + vX_[404] * vX_[336]);
+ vX_[263] = vX_[273] * vX_[405] + vX_[470] * vX_[287] + vX_[279] * vX_[627] + vX_[263] * vX_[268] - (vX_[309] * vX_[983] + vX_[290] * vX_[336]);
+ vX_[470] = -(vX_[327] * vX_[983] + vX_[837] * vX_[336]);
+ vX_[331] = vX_[627] * vX_[300] + vX_[405] * vX_[331];
+ vX_[333] = vX_[627] * vX_[333] + vX_[405] * vX_[300];
+ vX_[279] = vX_[332] * vX_[627] + vX_[331] * vX_[268] + vX_[334] * vX_[924] + vX_[333] * vX_[240] - (vX_[312] * vX_[983] + vX_[324] * vX_[336]);
+ vX_[273] = vX_[850] * vX_[378] + vX_[639] * vX_[883] + vX_[267] * vX_[896] + vX_[368] * vX_[874] + vX_[518] * vX_[890] + vX_[263] * vX_[891] + vX_[470] * vX_[893] + vX_[279] * vX_[894] + (vX_[335] * vX_[682] + vX_[325] * vX_[869] - vX_[771] * vX_[291]) / vX_[314];
+ vX_[918] = -(vX_[327] * vX_[301] + vX_[837] * vX_[328]);
+ vX_[301] = -(vX_[312] * vX_[301] + vX_[324] * vX_[328]);
+ vX_[668] = vX_[668] + vX_[555] * vX_[890] + vX_[514] * vX_[891] + vX_[918] * vX_[893] + vX_[301] * vX_[894] + (vX_[327] * vX_[682] + vX_[837] * vX_[869] - vX_[895] * vX_[291]) / vX_[314];
+ vX_[333] = vX_[334] * vX_[627] + vX_[333] * vX_[268] + vX_[332] * vX_[405] + vX_[331] * vX_[287];
+ vX_[730] = 0 - vX_[333] - (vX_[312] * vX_[730] + vX_[324] * vX_[315]);
+ vX_[896] = vX_[851] * vX_[378] + vX_[646] * vX_[883] + vX_[240] * vX_[896] + vX_[924] * vX_[874] + vX_[348] * vX_[890] + vX_[302] * vX_[891] + vX_[301] * vX_[893] + vX_[730] * vX_[894] + (vX_[312] * vX_[682] + vX_[324] * vX_[869] - vX_[886] * vX_[291]) / vX_[314];
+ vX_[333] = vX_[333] - (vX_[335] * vX_[983] + vX_[325] * vX_[336]);
+ vX_[983] = vX_[342] * vX_[333] - vX_[322] * vX_[279];
+ vX_[378] = vX_[342] * vX_[279] - vX_[322] * vX_[730];
+ vX_[874] = vX_[317] * vX_[730] - vX_[342] * vX_[301];
+ vX_[883] = vX_[317] * vX_[301] - vX_[342] * vX_[918];
+ vX_[331] = vX_[874] * vX_[317] - vX_[883] * vX_[342];
+ vX_[292] = 2. * vX_[518] * vX_[342] + vX_[292] + vX_[983] * vX_[342] - 2. * vX_[348] * vX_[322] - vX_[378] * vX_[322] - vX_[331];
+ vX_[334] = vX_[322] * vX_[918] - vX_[317] * vX_[470];
+ vX_[332] = vX_[322] * vX_[470] - vX_[317] * vX_[333];
+ vX_[304] = 2. * vX_[514] * vX_[322] + vX_[304] + vX_[334] * vX_[322] - 2. * vX_[263] * vX_[317] - vX_[332] * vX_[317] - vX_[331];
+ vX_[353] = vX_[322] * vX_[301];
+ vX_[323] = vX_[317] * vX_[279];
+ vX_[311] = vX_[353] - vX_[323];
+ vX_[295] = vX_[555] * vX_[322] + vX_[295] + vX_[263] * vX_[342] + vX_[332] * vX_[342] - vX_[302] * vX_[322] - vX_[518] * vX_[317] - vX_[311] * vX_[322];
+ vX_[310] = vX_[318] * vX_[295];
+ vX_[512] = (vX_[318] * vX_[304] + vX_[239] * vX_[295]) * vX_[318] + (vX_[310] + vX_[239] * vX_[292]) * vX_[239];
+ vX_[310] = vX_[320] * vX_[304] + vX_[310];
+ vX_[295] = vX_[320] * vX_[295] + vX_[318] * vX_[292];
+ vX_[858] = vX_[310] * vX_[320] + vX_[295] * vX_[318];
+ vX_[304] = vX_[292] + vX_[304] + vX_[331] - vX_[512] - vX_[858];
+ vX_[606] = ((vX_[314] * vX_[682] + vX_[291] * vX_[869] - vX_[868] * vX_[291]) / vX_[314] + vX_[606] + vX_[845] * vX_[668] + vX_[317] * vX_[896] - vX_[872] * vX_[304]) / vX_[573];
+ vX_[292] = vX_[342] * vX_[470];
+ vX_[353] = vX_[292] - vX_[353];
+ vX_[862] = vX_[555] * vX_[342] + vX_[353] * vX_[342] - vX_[348] * vX_[317] - vX_[378] * vX_[317];
+ vX_[685] = vX_[302] * vX_[317] + vX_[311] * vX_[317] - vX_[514] * vX_[342] - vX_[334] * vX_[342];
+ vX_[402] = vX_[320] * vX_[862] + vX_[318] * vX_[685];
+ vX_[330] = (vX_[402] - vX_[688] * vX_[304]) / vX_[573];
+ vX_[512] = vX_[331] + vX_[512] - (vX_[689] * vX_[330] + vX_[402] * vX_[688]);
+ vX_[683] = (vX_[239] * vX_[543] + vX_[318] * vX_[671] + vX_[319] * vX_[668] + vX_[831] * vX_[896] - (vX_[689] * vX_[606] + vX_[402] * vX_[872]) - vX_[561] * vX_[512]) / vX_[570];
+ vX_[295] = vX_[310] * vX_[318] + vX_[295] * vX_[239];
+ vX_[685] = 0 - vX_[239] * vX_[685] - vX_[318] * vX_[862];
+ vX_[862] = vX_[295] - (vX_[480] * vX_[330] + vX_[685] * vX_[688]);
+ vX_[310] = (vX_[685] - vX_[574] * vX_[304]) / vX_[573];
+ vX_[295] = (vX_[295] - (vX_[689] * vX_[310] + vX_[402] * vX_[574]) - vX_[586] * vX_[512]) / vX_[570];
+ vX_[858] = vX_[331] + vX_[858] - (vX_[687] * vX_[295] + vX_[862] * vX_[586]) - (vX_[480] * vX_[310] + vX_[685] * vX_[574]);
+ vX_[671] = (vX_[318] * vX_[543] + vX_[320] * vX_[671] + 0.207 * vX_[273] + vX_[321] * vX_[668] + vX_[830] * vX_[896] - (vX_[687] * vX_[683] + vX_[862] * vX_[561]) - (vX_[480] * vX_[606] + vX_[685] * vX_[872]) - vX_[563] * vX_[858]) / vX_[572];
+ vX_[334] = vX_[334] + vX_[514];
+ vX_[292] = vX_[323] - vX_[292];
+ vX_[353] = vX_[555] + vX_[353] - vX_[292];
+ vX_[555] = vX_[318] * vX_[334] + vX_[239] * vX_[353];
+ vX_[311] = vX_[302] + vX_[311] - vX_[292];
+ vX_[378] = vX_[378] + vX_[348];
+ vX_[348] = vX_[318] * vX_[311] + vX_[239] * vX_[378];
+ vX_[302] = vX_[555] * vX_[239] + vX_[348] * vX_[318] + vX_[292];
+ vX_[983] = vX_[983] + vX_[518];
+ vX_[883] = vX_[883] + vX_[983];
+ vX_[332] = vX_[332] + vX_[263];
+ vX_[874] = vX_[874] + vX_[332];
+ vX_[983] = - vX_[983];
+ vX_[263] = vX_[320] * vX_[983] + vX_[318] * vX_[332];
+ vX_[518] = vX_[883] * vX_[239] + vX_[874] * vX_[318] - vX_[263];
+ vX_[323] = vX_[302] - (vX_[933] * vX_[330] + vX_[518] * vX_[688]);
+ vX_[378] = vX_[320] * vX_[311] + vX_[318] * vX_[378];
+ vX_[353] = vX_[320] * vX_[334] + vX_[318] * vX_[353];
+ vX_[334] = vX_[378] * vX_[318] + vX_[353] * vX_[239];
+ vX_[311] = vX_[334] - (vX_[913] * vX_[295] + vX_[323] * vX_[586]) - (vX_[933] * vX_[310] + vX_[518] * vX_[574]);
+ vX_[514] = vX_[263] - (vX_[949] * vX_[330] + vX_[292] * vX_[688]);
+ vX_[983] = vX_[318] * vX_[983] + vX_[239] * vX_[332];
+ vX_[332] = - vX_[983];
+ vX_[543] = vX_[332] - (vX_[932] * vX_[295] + vX_[514] * vX_[586]) - (vX_[949] * vX_[310] + vX_[292] * vX_[574]);
+ vX_[918] = vX_[918] - vX_[333];
+ vX_[730] = vX_[730] - vX_[333];
+ vX_[331] = vX_[318] * vX_[301];
+ vX_[447] = (vX_[318] * vX_[730] + vX_[239] * vX_[301]) * vX_[318] + (vX_[331] + vX_[239] * vX_[918]) * vX_[239];
+ vX_[331] = vX_[320] * vX_[730] + vX_[331];
+ vX_[301] = vX_[320] * vX_[301] + vX_[318] * vX_[918];
+ vX_[410] = vX_[331] * vX_[320] + vX_[301] * vX_[318];
+ vX_[656] = (vX_[292] - vX_[937] * vX_[304]) / vX_[573];
+ vX_[263] = (vX_[263] - (vX_[689] * vX_[656] + vX_[402] * vX_[937]) - vX_[938] * vX_[512]) / vX_[570];
+ vX_[332] = (vX_[332] - (vX_[687] * vX_[263] + vX_[862] * vX_[938]) - (vX_[480] * vX_[656] + vX_[685] * vX_[937]) - vX_[947] * vX_[858]) / vX_[572];
+ vX_[730] = vX_[918] + vX_[730] + vX_[333] - vX_[447] - vX_[410] - (vX_[932] * vX_[263] + vX_[514] * vX_[938]) - (vX_[949] * vX_[656] + vX_[292] * vX_[937]) - (vX_[946] * vX_[332] + vX_[543] * vX_[947]);
+ vX_[273] = (vX_[273] - (vX_[932] * vX_[683] + vX_[514] * vX_[561]) - (vX_[949] * vX_[606] + vX_[292] * vX_[872]) - (vX_[946] * vX_[671] + vX_[543] * vX_[563]) - vX_[618] * vX_[730]) / vX_[976];
+ vX_[470] = - vX_[470];
+ vX_[918] = vX_[320] * vX_[470] + vX_[318] * vX_[279];
+ vX_[884] = vX_[918] - (vX_[913] * vX_[263] + vX_[323] * vX_[938]) - (vX_[933] * vX_[656] + vX_[518] * vX_[937]) - (vX_[722] * vX_[332] + vX_[311] * vX_[947]);
+ vX_[432] = (vX_[518] - vX_[934] * vX_[304]) / vX_[573];
+ vX_[302] = (vX_[302] - (vX_[689] * vX_[432] + vX_[402] * vX_[934]) - vX_[935] * vX_[512]) / vX_[570];
+ vX_[334] = (vX_[334] - (vX_[687] * vX_[302] + vX_[862] * vX_[935]) - (vX_[480] * vX_[432] + vX_[685] * vX_[934]) - vX_[936] * vX_[858]) / vX_[572];
+ vX_[918] = (vX_[918] - (vX_[932] * vX_[302] + vX_[514] * vX_[935]) - (vX_[949] * vX_[432] + vX_[292] * vX_[934]) - (vX_[946] * vX_[334] + vX_[543] * vX_[936]) - vX_[919] * vX_[730]) / vX_[976];
+ vX_[447] = vX_[333] + vX_[447] - (vX_[913] * vX_[302] + vX_[323] * vX_[935]) - (vX_[933] * vX_[432] + vX_[518] * vX_[934]) - (vX_[722] * vX_[334] + vX_[311] * vX_[936]) - (vX_[948] * vX_[918] + vX_[884] * vX_[919]);
+ vX_[339] = (vX_[239] * vX_[668] + vX_[318] * vX_[896] - (vX_[913] * vX_[683] + vX_[323] * vX_[561]) - (vX_[933] * vX_[606] + vX_[518] * vX_[872]) - (vX_[722] * vX_[671] + vX_[311] * vX_[563]) - (vX_[948] * vX_[273] + vX_[884] * vX_[618]) - vX_[899] * vX_[447]) / vX_[973];
+ vX_[348] = vX_[348] * vX_[320] + vX_[555] * vX_[318];
+ vX_[983] = vX_[883] * vX_[318] + vX_[874] * vX_[320] + vX_[983];
+ vX_[874] = vX_[348] - (vX_[945] * vX_[330] + vX_[983] * vX_[688]);
+ vX_[353] = vX_[353] * vX_[318] + vX_[378] * vX_[320] + vX_[292];
+ vX_[378] = vX_[353] - (vX_[977] * vX_[295] + vX_[874] * vX_[586]) - (vX_[945] * vX_[310] + vX_[983] * vX_[574]);
+ vX_[470] = 0 - vX_[239] * vX_[279] - vX_[318] * vX_[470];
+ vX_[279] = vX_[470] - (vX_[977] * vX_[263] + vX_[874] * vX_[938]) - (vX_[945] * vX_[656] + vX_[983] * vX_[937]) - (vX_[474] * vX_[332] + vX_[378] * vX_[947]);
+ vX_[301] = vX_[331] * vX_[318] + vX_[301] * vX_[239];
+ vX_[331] = vX_[301] - (vX_[977] * vX_[302] + vX_[874] * vX_[935]) - (vX_[945] * vX_[432] + vX_[983] * vX_[934]) - (vX_[474] * vX_[334] + vX_[378] * vX_[936]) - (vX_[984] * vX_[918] + vX_[279] * vX_[919]);
+ vX_[304] = (vX_[983] - vX_[978] * vX_[304]) / vX_[573];
+ vX_[348] = (vX_[348] - (vX_[689] * vX_[304] + vX_[402] * vX_[978]) - vX_[979] * vX_[512]) / vX_[570];
+ vX_[353] = (vX_[353] - (vX_[687] * vX_[348] + vX_[862] * vX_[979]) - (vX_[480] * vX_[304] + vX_[685] * vX_[978]) - vX_[980] * vX_[858]) / vX_[572];
+ vX_[470] = (vX_[470] - (vX_[932] * vX_[348] + vX_[514] * vX_[979]) - (vX_[949] * vX_[304] + vX_[292] * vX_[978]) - (vX_[946] * vX_[353] + vX_[543] * vX_[980]) - vX_[985] * vX_[730]) / vX_[976];
+ vX_[301] = (vX_[301] - (vX_[913] * vX_[348] + vX_[323] * vX_[979]) - (vX_[933] * vX_[304] + vX_[518] * vX_[978]) - (vX_[722] * vX_[353] + vX_[311] * vX_[980]) - (vX_[948] * vX_[470] + vX_[884] * vX_[985]) - vX_[986] * vX_[447]) / vX_[973];
+ vX_[331] = (vX_[318] * vX_[668] + vX_[832] * vX_[896] - (vX_[977] * vX_[683] + vX_[874] * vX_[561]) - (vX_[945] * vX_[606] + vX_[983] * vX_[872]) - (vX_[474] * vX_[671] + vX_[378] * vX_[563]) - (vX_[984] * vX_[273] + vX_[279] * vX_[618]) - (vX_[955] * vX_[339] + vX_[331] * vX_[899]) - vX_[568] * (vX_[333] + vX_[410] - (vX_[977] * vX_[348] + vX_[874] * vX_[979]) - (vX_[945] * vX_[304] + vX_[983] * vX_[978]) - (vX_[474] * vX_[353] + vX_[378] * vX_[980]) - (vX_[984] * vX_[470] + vX_[279] * vX_[985]) - (vX_[955] * vX_[301] + vX_[331] * vX_[986]))) / vX_[975];
+ jac[383] = - vX_[331];
+ vX_[301] = vX_[339] - (vX_[986] * vX_[331] + vX_[301] * vX_[568]);
+ jac[382] = - vX_[301];
+ vX_[470] = vX_[273] - (vX_[985] * vX_[331] + vX_[470] * vX_[568]) - (vX_[919] * vX_[301] + vX_[918] * vX_[358]);
+ jac[381] = - vX_[470];
+ vX_[353] = vX_[671] - (vX_[936] * vX_[301] + vX_[334] * vX_[358]) - (vX_[947] * vX_[470] + vX_[332] * vX_[912]) - (vX_[980] * vX_[331] + vX_[353] * vX_[568]);
+ jac[380] = - vX_[353];
+ vX_[348] = vX_[683] - (vX_[938] * vX_[470] + vX_[263] * vX_[912]) - (vX_[586] * vX_[353] + vX_[295] * vX_[452]) - (vX_[935] * vX_[301] + vX_[302] * vX_[358]) - (vX_[979] * vX_[331] + vX_[348] * vX_[568]);
+ jac[378] = vX_[574] * vX_[353] + vX_[310] * vX_[452] + vX_[688] * vX_[348] + vX_[330] * vX_[885] + vX_[937] * vX_[470] + vX_[656] * vX_[912] + vX_[934] * vX_[301] + vX_[432] * vX_[358] + vX_[978] * vX_[331] + vX_[304] * vX_[568] - vX_[606];
+ jac[379] = - vX_[348];
+ vX_[348] = -1 * jac[378];
+ vX_[353] = vX_[440] * jac[380] + vX_[360] * jac[379];
+ vX_[470] = vX_[360] * jac[380] + vX_[441] * jac[379];
+ vX_[301] = -1 * jac[381];
+ vX_[331] = 0.207 * jac[380] + vX_[301];
+ vX_[304] = vX_[610] * jac[380] + vX_[611] * jac[379] + vX_[438] * jac[378] + vX_[359] * jac[383] + vX_[612] * jac[382];
+ jac[384] = (0 - vX_[435] * vX_[348] - vX_[472] * vX_[353] - vX_[430] * vX_[470] - vX_[457] * vX_[331] - vX_[449] * (vX_[443] * jac[380] + vX_[442] * jac[379] + vX_[596] * jac[378] + vX_[440] * jac[383] + vX_[597] * jac[382]) - vX_[433] * vX_[304]) / vX_[435];
+ vX_[432] = -1 * vX_[353];
+ vX_[656] = vX_[348] + jac[384];
+ vX_[310] = vX_[361] * vX_[331] + vX_[625] * vX_[304] + vX_[592] * vX_[353];
+ vX_[304] = vX_[388] * vX_[331] + vX_[361] * vX_[304] + vX_[409] * vX_[353];
+ jac[385] = (0 - vX_[385] * vX_[432] - vX_[392] * (vX_[361] * vX_[656] + vX_[389] * vX_[470]) - vX_[373] * (vX_[388] * vX_[656] + vX_[361] * vX_[470]) - vX_[383] * vX_[310] - vX_[396] * vX_[304]) / vX_[385];
+ vX_[432] = vX_[432] + jac[385];
+ jac[386] = (0 - 0.1104774 * (vX_[362] * vX_[310] + vX_[636] * vX_[304] + vX_[637] * vX_[432]) - -0.0004405 * (vX_[364] * vX_[310] + vX_[362] * vX_[304] + vX_[367] * vX_[432]) - 0.026181 * vX_[432]) / 0.026181;
+ vX_[432] = vX_[318] * jac[380] + vX_[239] * jac[379];
+ vX_[304] = vX_[318] * vX_[532] + vX_[239] * vX_[530] + vX_[890];
+ vX_[310] = vX_[320] * jac[380] + vX_[318] * jac[379];
+ vX_[656] = vX_[320] * vX_[532] + vX_[318] * vX_[530] + vX_[891];
+ vX_[470] = 0.207 * jac[380] + jac[381];
+ vX_[331] = 0.207 * vX_[532] + vX_[416];
+ vX_[353] = vX_[321] * vX_[532] + vX_[319] * vX_[530] + vX_[845] * vX_[760] + vX_[318] * vX_[951] + vX_[239] * vX_[534] + vX_[893];
+ vX_[330] = vX_[830] * jac[380] + vX_[831] * jac[379] + vX_[317] * jac[378] + vX_[832] * jac[383] + vX_[318] * jac[382];
+ vX_[606] = vX_[830] * vX_[532] + vX_[831] * vX_[530] + vX_[317] * vX_[760] + vX_[832] * vX_[951] + vX_[318] * vX_[534] + vX_[894];
+ vX_[302] = (vX_[869] - vX_[314] * vX_[760] - vX_[350] * vX_[304] - vX_[309] * vX_[656] - vX_[335] * vX_[331] - vX_[327] * vX_[353] - vX_[312] * vX_[606]) / vX_[314];
+ jac[387] = (vX_[682] - (vX_[314] * jac[378] + vX_[291] * vX_[760]) - (vX_[350] * vX_[432] + vX_[404] * vX_[304]) - (vX_[309] * vX_[310] + vX_[290] * vX_[656]) - (vX_[335] * vX_[470] + vX_[325] * vX_[331]) - (vX_[327] * (vX_[321] * jac[380] + vX_[319] * jac[379] + vX_[845] * jac[378] + vX_[318] * jac[383] + vX_[239] * jac[382]) + vX_[837] * vX_[353]) - (vX_[312] * vX_[330] + vX_[324] * vX_[606]) - vX_[302] * vX_[291]) / vX_[314];
+ vX_[325] = jac[378] + jac[387];
+ vX_[682] = vX_[760] + vX_[302];
+ vX_[674] = vX_[850] * vX_[470] + vX_[639] * vX_[331] + vX_[851] * vX_[330] + vX_[646] * vX_[606] + vX_[852] * vX_[432] + vX_[840] * vX_[304] + vX_[674];
+ vX_[330] = vX_[267] * vX_[470] + vX_[368] * vX_[331] + vX_[240] * vX_[330] + vX_[924] * vX_[606] + vX_[289] * vX_[432] + vX_[427] * vX_[304] + vX_[562];
+ jac[388] = (vX_[354] - vX_[264] * vX_[432] - vX_[271] * (vX_[287] * vX_[325] + vX_[405] * vX_[682] + vX_[268] * vX_[310] + vX_[627] * vX_[656] + vX_[672]) - vX_[252] * (vX_[268] * vX_[325] + vX_[627] * vX_[682] + vX_[240] * vX_[310] + vX_[924] * vX_[656] + vX_[691]) - vX_[262] * vX_[674] - vX_[275] * vX_[330]) / vX_[264];
+ vX_[432] = vX_[432] + jac[388];
+ jac[389] = (vX_[521] - 0.1104774 * (vX_[241] * vX_[674] + vX_[854] * vX_[330] + vX_[856] * vX_[432] + vX_[357]) - -0.0004405 * (vX_[243] * vX_[674] + vX_[241] * vX_[330] + vX_[246] * vX_[432] + vX_[964]) - 0.026181 * vX_[432]) / 0.026181;
+ vX_[432] = vX_[198] * jac[380] + vX_[128] * jac[379];
+ vX_[330] = vX_[128] * jac[380] + vX_[199] * jac[379];
+ vX_[301] = 0.207 * jac[380] + vX_[301];
+ vX_[674] = vX_[762] * jac[380] + vX_[763] * jac[379] + vX_[196] * jac[378] + vX_[764] * jac[383] + vX_[765] * jac[382];
+ jac[390] = (0 - vX_[193] * vX_[348] - vX_[230] * vX_[432] - vX_[188] * vX_[330] - vX_[215] * vX_[301] - vX_[207] * (vX_[201] * jac[380] + vX_[200] * jac[379] + vX_[701] * jac[378] + vX_[198] * jac[383] + vX_[127] * jac[382]) - vX_[191] * vX_[674]) / vX_[193];
+ vX_[964] = -1 * vX_[432];
+ vX_[348] = vX_[348] + jac[390];
+ vX_[357] = vX_[129] * vX_[301] + vX_[772] * vX_[674] + vX_[773] * vX_[432];
+ vX_[674] = vX_[149] * vX_[301] + vX_[129] * vX_[674] + vX_[167] * vX_[432];
+ jac[391] = (0 - vX_[146] * vX_[964] - 2.1e-05 * (vX_[129] * vX_[348] + vX_[150] * vX_[330]) - -0.000102 * (vX_[149] * vX_[348] + vX_[129] * vX_[330]) - vX_[144] * vX_[357] - vX_[154] * vX_[674]) / vX_[146];
+ vX_[964] = vX_[964] + jac[391];
+ jac[392] = (0 - 0.110125 * (vX_[132] * vX_[357] + vX_[782] * vX_[674] + vX_[783] * vX_[964]) - 0.000881 * (vX_[130] * vX_[357] + vX_[132] * vX_[674] + vX_[131] * vX_[964]) - 0.026181 * vX_[964]) / 0.026181;
+ vX_[964] = vX_[86] * jac[380] + vX_[24] * jac[379];
+ vX_[674] = vX_[88] * jac[380] + vX_[86] * jac[379];
+ vX_[357] = 0.207 * jac[380] + jac[381];
+ vX_[348] = vX_[649] * jac[380] + vX_[608] * jac[379] + vX_[85] * jac[378] + vX_[616] * jac[383] + vX_[86] * jac[382];
+ jac[393] = (0 - vX_[82] * jac[378] - vX_[118] * vX_[964] - vX_[77] * vX_[674] - vX_[103] * vX_[357] - vX_[95] * (vX_[89] * jac[380] + vX_[87] * jac[379] + vX_[703] * jac[378] + vX_[86] * jac[383] + vX_[24] * jac[382]) - vX_[80] * vX_[348]) / vX_[82];
+ vX_[330] = jac[378] + jac[393];
+ vX_[301] = vX_[708] * vX_[357] + vX_[709] * vX_[348] + vX_[710] * vX_[964];
+ vX_[348] = vX_[10] * vX_[357] + vX_[33] * vX_[348] + vX_[57] * vX_[964];
+ jac[394] = (0 - vX_[17] * vX_[964] - vX_[6] * (vX_[55] * vX_[330] + vX_[38] * vX_[674]) - vX_[23] * (vX_[38] * vX_[330] + vX_[33] * vX_[674]) - vX_[15] * vX_[301] - vX_[43] * vX_[348]) / vX_[17];
+ vX_[964] = vX_[964] + jac[394];
+ jac[395] = (0 - 0.1104774 * (vX_[20] * vX_[301] + vX_[712] * vX_[348] + vX_[714] * vX_[964]) - 0.0004405 * (vX_[37] * vX_[301] + vX_[20] * vX_[348] + vX_[34] * vX_[964]) - 0.026181 * vX_[964]) / 0.026181;
+ vX_[964] = cos(x_in[11]);
+ vX_[348] = -1 * sin(x_in[11]);
+ vX_[301] = 0.35 * vX_[964];
+ vX_[330] = vX_[964] * vX_[853] + vX_[348] * vX_[855] + vX_[301] * vX_[839];
+ vX_[674] = vX_[849] * vX_[330];
+ vX_[357] = vX_[348] * vX_[842] + vX_[964] * vX_[838];
+ vX_[432] = vX_[357] * vX_[848];
+ vX_[521] = - vX_[964];
+ vX_[325] = vX_[521] * vX_[842] + vX_[348] * vX_[838];
+ vX_[310] = vX_[860] * vX_[325] + vX_[357] * vX_[844];
+ vX_[691] = - vX_[964];
+ vX_[672] = 0.35 * vX_[348];
+ vX_[354] = vX_[348] * vX_[853] + vX_[691] * vX_[855] + vX_[672] * vX_[839];
+ vX_[405] = vX_[325] * vX_[848] - vX_[849] * vX_[354];
+ vX_[627] = 0.1104774 * (vX_[674] - vX_[432]) + 0.025941 * vX_[310] - 0.0004405 * vX_[405];
+ vX_[924] = 0 - vX_[627];
+ vX_[470] = vX_[325] * vX_[849];
+ vX_[562] = (- vX_[330]) * x_in[29];
+ vX_[427] = vX_[354] * x_in[29];
+ vX_[368] = vX_[325] * x_in[29];
+ vX_[840] = vX_[860] * vX_[357] + vX_[357] * vX_[860];
+ vX_[646] = -0.881 * (vX_[432] - vX_[674]) + 0.1104774 * vX_[310] + -8.81e-05 * vX_[470] + 0.414812462825713 * vX_[562] + 0.00185880198235362 * vX_[427] + 8.81e-05 * vX_[368] + (0.1104774 * vX_[924]) / 0.026181 - 0.0004405 * vX_[840];
+ vX_[639] = vX_[357] * vX_[849];
+ vX_[324] = (- vX_[357]) * x_in[29];
+ vX_[837] = vX_[844] * vX_[325] + vX_[325] * vX_[844];
+ vX_[310] = 0.881 * vX_[405] + -8.81e-05 * vX_[639] + 0.0004405 * vX_[310] + 0.00185880198235362 * vX_[562] + 0.880992588508842 * vX_[427] + -8.81e-05 * vX_[324] + (-0.0004405 * vX_[924]) / 0.026181 - 0.1104774 * vX_[837];
+ vX_[627] = (0.026181 * vX_[924]) / 0.026181 + vX_[627] + vX_[856] * vX_[646] + vX_[672] * vX_[875] + vX_[246] * vX_[310] + vX_[301] * vX_[889];
+ vX_[290] = 0 - vX_[627];
+ vX_[291] = -0.35 * vX_[348];
+ vX_[404] = 0.880992588508842 * vX_[301] - 0.00185880198235362 * vX_[291];
+ vX_[263] = 0.00185880198235362 * vX_[301] - 0.414812462825713 * vX_[291];
+ vX_[257] = vX_[257] * vX_[301] + vX_[404] * vX_[246] - (vX_[253] * vX_[291] + vX_[263] * vX_[249]);
+ vX_[253] = 8.81e-05 * vX_[964];
+ vX_[295] = -8.81e-05 * vX_[348];
+ vX_[683] = 0.881 * vX_[291];
+ vX_[263] = vX_[263] + vX_[683];
+ vX_[334] = - 0.881 * vX_[301];
+ vX_[404] = vX_[404] + vX_[334];
+ vX_[332] = - vX_[683];
+ vX_[671] = vX_[241] * vX_[332] + vX_[348] * vX_[255] + vX_[244] * vX_[334] + vX_[521] * vX_[259];
+ vX_[918] = vX_[256] * vX_[348] + vX_[263] * vX_[241] + vX_[260] * vX_[964] + vX_[404] * vX_[243] + vX_[671];
+ vX_[273] = (vX_[918] - vX_[265] * vX_[257]) / vX_[264];
+ vX_[339] = -8.81e-05 * vX_[301];
+ vX_[279] = 2. * vX_[339];
+ vX_[378] = - 8.81e-05 * vX_[291];
+ vX_[874] = 2. * vX_[378];
+ vX_[339] = - vX_[339];
+ vX_[983] = vX_[248] * vX_[348] + vX_[279] * vX_[241] + vX_[251] * vX_[964] + vX_[874] * vX_[243] + vX_[244] * vX_[378] + vX_[521] * vX_[250] + vX_[241] * vX_[339] + vX_[348] * vX_[247];
+ vX_[410] = vX_[269] * vX_[348] + vX_[253] * vX_[241] + vX_[270] * vX_[964] + vX_[295] * vX_[243] - (vX_[271] * vX_[273] + vX_[983] * vX_[265]);
+ vX_[333] = 8.81e-05 * vX_[348];
+ vX_[896] = -8.81e-05 * vX_[521];
+ vX_[339] = vX_[248] * vX_[521] + vX_[279] * vX_[244] + vX_[251] * vX_[348] + vX_[874] * vX_[241] - (vX_[241] * vX_[378] + vX_[348] * vX_[250]) - (vX_[243] * vX_[339] + vX_[964] * vX_[247]);
+ vX_[874] = vX_[242] * vX_[348] + vX_[333] * vX_[241] + vX_[245] * vX_[964] + vX_[896] * vX_[243] - (vX_[252] * vX_[273] + vX_[339] * vX_[265]);
+ vX_[378] = -7.4114911576828e-06 * vX_[964] + 0.00185880198235362 * vX_[348];
+ vX_[279] = 0.00185880198235362 * vX_[964] + -0.466187537174287 * vX_[348];
+ vX_[247] = vX_[296] * vX_[964] + vX_[378] * vX_[243] + vX_[297] * vX_[348] + vX_[279] * vX_[241];
+ vX_[251] = vX_[247] - (vX_[262] * vX_[273] + vX_[918] * vX_[265]);
+ vX_[332] = vX_[243] * vX_[332] + vX_[964] * vX_[255] + vX_[241] * vX_[334] + vX_[348] * vX_[259];
+ vX_[404] = vX_[256] * vX_[521] + vX_[263] * vX_[244] + vX_[260] * vX_[348] + vX_[404] * vX_[241] - vX_[332];
+ vX_[279] = vX_[297] * vX_[521] + vX_[279] * vX_[244] + vX_[296] * vX_[348] + vX_[378] * vX_[241] - (vX_[275] * vX_[273] + vX_[404] * vX_[265]);
+ vX_[897] = vX_[241] * vX_[646] + vX_[348] * vX_[875] + vX_[243] * vX_[310] + vX_[964] * vX_[889] + vX_[410] * vX_[877] + vX_[874] * vX_[878] + vX_[251] * vX_[880] + vX_[279] * vX_[881] + (vX_[262] * vX_[290] + vX_[918] * vX_[887] - vX_[897] * vX_[257]) / vX_[264];
+ vX_[378] = (vX_[404] - vX_[276] * vX_[257]) / vX_[264];
+ vX_[295] = vX_[269] * vX_[521] + vX_[253] * vX_[244] + vX_[270] * vX_[348] + vX_[295] * vX_[241] - (vX_[271] * vX_[378] + vX_[983] * vX_[276]);
+ vX_[896] = vX_[242] * vX_[521] + vX_[333] * vX_[244] + vX_[245] * vX_[348] + vX_[896] * vX_[241] - (vX_[252] * vX_[378] + vX_[339] * vX_[276]);
+ vX_[378] = 0 - vX_[247] - (vX_[275] * vX_[378] + vX_[404] * vX_[276]);
+ vX_[310] = vX_[854] * vX_[646] + vX_[691] * vX_[875] + vX_[241] * vX_[310] + vX_[348] * vX_[889] + vX_[295] * vX_[877] + vX_[896] * vX_[878] + vX_[279] * vX_[880] + vX_[378] * vX_[881] + (vX_[275] * vX_[290] + vX_[404] * vX_[887] - vX_[882] * vX_[257]) / vX_[264];
+ vX_[646] = vX_[289] * vX_[378] - vX_[288] * vX_[279];
+ vX_[882] = vX_[289] * vX_[279] - vX_[288] * vX_[251];
+ vX_[889] = vX_[646] * vX_[289] - vX_[882] * vX_[288];
+ vX_[875] = vX_[896] * vX_[289] - vX_[874] * vX_[288];
+ vX_[247] = vX_[295] * vX_[289] - vX_[410] * vX_[288];
+ vX_[276] = - vX_[247];
+ vX_[333] = vX_[268] * vX_[875] + vX_[240] * vX_[276];
+ vX_[683] = -0.2209548 * vX_[291] + vX_[254] * vX_[291] + vX_[683] * vX_[249] - vX_[257];
+ vX_[254] = 0 - 0.000881 * vX_[301] - (vX_[258] * vX_[301] + vX_[334] * vX_[246]) - vX_[257];
+ vX_[334] = 0.0004405 * vX_[291] + vX_[258] * vX_[291] + vX_[334] * vX_[249] - -0.1104774 * vX_[301];
+ vX_[283] = vX_[243] * vX_[254] + vX_[964] * vX_[283] + vX_[241] * vX_[334] + vX_[348] * vX_[280];
+ vX_[334] = vX_[243] * vX_[334] + vX_[964] * vX_[280] + vX_[241] * vX_[683] + vX_[348] * vX_[281];
+ vX_[281] = vX_[284] * vX_[964] + vX_[283] * vX_[243] + vX_[282] * vX_[348] + vX_[334] * vX_[241];
+ vX_[254] = vX_[683] + vX_[254] + vX_[257] - vX_[281] - (vX_[252] * (vX_[339] - vX_[306] * vX_[257]) / vX_[264] + vX_[339] * vX_[306]);
+ vX_[683] = vX_[254] - 2. * vX_[332] * vX_[289] - vX_[889];
+ vX_[306] = (vX_[983] - vX_[285] * vX_[257]) / vX_[264];
+ vX_[334] = vX_[282] * vX_[521] + vX_[334] * vX_[244] + vX_[284] * vX_[348] + vX_[283] * vX_[241] - (vX_[252] * vX_[306] + vX_[339] * vX_[285]);
+ vX_[671] = 0 - vX_[671];
+ vX_[283] = vX_[334] + vX_[332] * vX_[288] - vX_[671] * vX_[289];
+ vX_[284] = vX_[268] * vX_[683] + vX_[287] * vX_[283];
+ vX_[306] = vX_[257] + vX_[281] - (vX_[271] * vX_[306] + vX_[983] * vX_[285]);
+ vX_[288] = 2. * vX_[671] * vX_[288] + vX_[306] - vX_[889];
+ vX_[283] = vX_[268] * vX_[283] + vX_[287] * vX_[288];
+ vX_[281] = vX_[284] * vX_[268] + vX_[283] * vX_[287];
+ vX_[285] = vX_[889] + vX_[281];
+ vX_[282] = (vX_[333] - vX_[510] * vX_[285]) / vX_[314];
+ vX_[280] = vX_[889] - (vX_[350] * vX_[282] + vX_[333] * vX_[510]);
+ vX_[283] = vX_[283] * vX_[268] + vX_[284] * vX_[240];
+ vX_[282] = 2. * vX_[247] * vX_[268] + 2. * vX_[875] * vX_[240] + vX_[287] * vX_[875] + vX_[268] * vX_[276] - (vX_[309] * vX_[282] + vX_[283] * vX_[510]);
+ vX_[276] = - vX_[671];
+ vX_[247] = vX_[240] * vX_[276] + vX_[268] * vX_[332];
+ vX_[875] = (vX_[247] - vX_[328] * vX_[285]) / vX_[314];
+ vX_[510] = -(vX_[350] * vX_[875] + vX_[333] * vX_[328]);
+ vX_[882] = vX_[882] + vX_[671];
+ vX_[646] = vX_[646] + vX_[332];
+ vX_[276] = vX_[268] * vX_[276] + vX_[287] * vX_[332];
+ vX_[284] = vX_[268] * vX_[896] + vX_[287] * vX_[295];
+ vX_[291] = vX_[268] * vX_[874] + vX_[287] * vX_[410];
+ vX_[258] = vX_[284] * vX_[240] + vX_[291] * vX_[268];
+ vX_[249] = (vX_[258] - vX_[315] * vX_[285]) / vX_[314];
+ vX_[245] = vX_[882] * vX_[268] + vX_[646] * vX_[240] + vX_[276] - (vX_[350] * vX_[249] + vX_[333] * vX_[315]);
+ vX_[354] = vX_[860] * vX_[354] + vX_[357] * vX_[857] - (vX_[844] * vX_[330] + vX_[325] * vX_[863]);
+ vX_[405] = -8.81e-05 * vX_[405] + -8.81e-05 * vX_[427] + 0.026409 * vX_[324] - 0.1104774 * vX_[354] - 0.025713 * vX_[639];
+ vX_[432] = 0.0004405 * vX_[354] + -8.81e-05 * (vX_[432] - vX_[674]) + -0.000227999999999999 * vX_[470] + 8.81e-05 * vX_[562] + 0.000468 * vX_[368];
+ vX_[354] = 0.881 * vX_[354] + 0.1104774 * vX_[639] + 0.0004405 * vX_[470] + -0.1104774 * vX_[324] + 0.0004405 * vX_[368] - -8.81e-05 * (vX_[837] + vX_[840]);
+ vX_[306] = vX_[241] * vX_[405] + vX_[348] * vX_[866] + vX_[243] * vX_[432] + vX_[964] * vX_[873] + -0.35 * vX_[354] + vX_[306] * vX_[877] + vX_[334] * vX_[878] + vX_[410] * vX_[880] + vX_[295] * vX_[881] + (vX_[271] * vX_[290] + vX_[983] * vX_[887] - vX_[871] * vX_[257]) / vX_[264];
+ vX_[432] = vX_[244] * vX_[405] + vX_[521] * vX_[866] + vX_[241] * vX_[432] + vX_[348] * vX_[873] + vX_[334] * vX_[877] + vX_[254] * vX_[878] + vX_[874] * vX_[880] + vX_[896] * vX_[881] + (vX_[252] * vX_[290] + vX_[339] * vX_[887] - vX_[859] * vX_[257]) / vX_[264];
+ vX_[354] = vX_[354] + vX_[671] * vX_[877] + vX_[332] * vX_[878];
+ vX_[671] = vX_[287] * vX_[306] + vX_[268] * vX_[432] + 0.08 * vX_[354];
+ vX_[332] = 0 - vX_[671];
+ vX_[627] = (vX_[264] * vX_[290] + vX_[257] * vX_[887] - vX_[768] * vX_[257]) / vX_[264] + vX_[627] + vX_[852] * vX_[897] + vX_[289] * vX_[310] + vX_[280] * vX_[890] + vX_[282] * vX_[891] + vX_[510] * vX_[893] + vX_[245] * vX_[894] + (vX_[350] * vX_[332] + vX_[333] * vX_[869] - vX_[767] * vX_[285]) / vX_[314];
+ vX_[281] = vX_[288] + vX_[683] + vX_[889] - vX_[281] - (vX_[309] * (vX_[283] - vX_[519] * vX_[285]) / vX_[314] + vX_[283] * vX_[519]);
+ vX_[276] = 0 - vX_[276] - (vX_[309] * vX_[875] + vX_[283] * vX_[328]);
+ vX_[874] = vX_[240] * vX_[874] + vX_[268] * vX_[410];
+ vX_[896] = vX_[240] * vX_[896] + vX_[268] * vX_[295];
+ vX_[295] = vX_[874] * vX_[268] + vX_[896] * vX_[240] - (vX_[309] * vX_[249] + vX_[283] * vX_[315]);
+ vX_[432] = vX_[268] * vX_[306] + vX_[240] * vX_[432] + vX_[282] * vX_[890] + vX_[281] * vX_[891] + vX_[276] * vX_[893] + vX_[295] * vX_[894] + (vX_[309] * vX_[332] + vX_[283] * vX_[869] - vX_[888] * vX_[285]) / vX_[314];
+ vX_[291] = vX_[284] * vX_[268] + vX_[291] * vX_[287];
+ vX_[284] = (vX_[291] - vX_[336] * vX_[285]) / vX_[314];
+ vX_[646] = vX_[882] * vX_[287] + vX_[646] * vX_[268] - vX_[247] - (vX_[350] * vX_[284] + vX_[333] * vX_[336]);
+ vX_[896] = vX_[874] * vX_[287] + vX_[896] * vX_[268] - (vX_[309] * vX_[284] + vX_[283] * vX_[336]);
+ vX_[874] = -(vX_[327] * vX_[284] + vX_[247] * vX_[336]);
+ vX_[882] = vX_[268] * vX_[279] + vX_[287] * vX_[251];
+ vX_[279] = vX_[268] * vX_[378] + vX_[287] * vX_[279];
+ vX_[306] = vX_[882] * vX_[268] + vX_[279] * vX_[240] - (vX_[312] * vX_[284] + vX_[258] * vX_[336]);
+ vX_[771] = vX_[850] * vX_[897] + vX_[267] * vX_[310] + vX_[646] * vX_[890] + vX_[896] * vX_[891] + vX_[874] * vX_[893] + vX_[306] * vX_[894] + (vX_[335] * vX_[332] + vX_[291] * vX_[869] - vX_[771] * vX_[285]) / vX_[314];
+ vX_[888] = -(vX_[327] * vX_[875] + vX_[247] * vX_[328]);
+ vX_[875] = -(vX_[312] * vX_[875] + vX_[258] * vX_[328]);
+ vX_[354] = vX_[354] + vX_[510] * vX_[890] + vX_[276] * vX_[891] + vX_[888] * vX_[893] + vX_[875] * vX_[894] + (vX_[327] * vX_[332] + vX_[247] * vX_[869] - vX_[895] * vX_[285]) / vX_[314];
+ vX_[279] = vX_[279] * vX_[268] + vX_[882] * vX_[287];
+ vX_[249] = vX_[251] + vX_[378] - vX_[279] - (vX_[312] * vX_[249] + vX_[258] * vX_[315]);
+ vX_[310] = vX_[851] * vX_[897] + vX_[240] * vX_[310] + vX_[245] * vX_[890] + vX_[295] * vX_[891] + vX_[875] * vX_[893] + vX_[249] * vX_[894] + (vX_[312] * vX_[332] + vX_[258] * vX_[869] - vX_[886] * vX_[285]) / vX_[314];
+ vX_[279] = vX_[279] - (vX_[335] * vX_[284] + vX_[291] * vX_[336]);
+ vX_[284] = vX_[342] * vX_[279] - vX_[322] * vX_[306];
+ vX_[336] = vX_[342] * vX_[306] - vX_[322] * vX_[249];
+ vX_[897] = vX_[317] * vX_[249] - vX_[342] * vX_[875];
+ vX_[886] = vX_[317] * vX_[875] - vX_[342] * vX_[888];
+ vX_[894] = vX_[897] * vX_[317] - vX_[886] * vX_[342];
+ vX_[280] = 2. * vX_[646] * vX_[342] + vX_[280] + vX_[284] * vX_[342] - 2. * vX_[245] * vX_[322] - vX_[336] * vX_[322] - vX_[894];
+ vX_[893] = vX_[322] * vX_[888] - vX_[317] * vX_[874];
+ vX_[891] = vX_[322] * vX_[874] - vX_[317] * vX_[279];
+ vX_[281] = 2. * vX_[276] * vX_[322] + vX_[281] + vX_[893] * vX_[322] - 2. * vX_[896] * vX_[317] - vX_[891] * vX_[317] - vX_[894];
+ vX_[890] = vX_[322] * vX_[875];
+ vX_[378] = vX_[317] * vX_[306];
+ vX_[251] = vX_[890] - vX_[378];
+ vX_[282] = vX_[510] * vX_[322] + vX_[282] + vX_[896] * vX_[342] + vX_[891] * vX_[342] - vX_[295] * vX_[322] - vX_[646] * vX_[317] - vX_[251] * vX_[322];
+ vX_[322] = vX_[318] * vX_[282];
+ vX_[315] = (vX_[318] * vX_[281] + vX_[239] * vX_[282]) * vX_[318] + (vX_[322] + vX_[239] * vX_[280]) * vX_[239];
+ vX_[322] = vX_[320] * vX_[281] + vX_[322];
+ vX_[282] = vX_[320] * vX_[282] + vX_[318] * vX_[280];
+ vX_[882] = vX_[322] * vX_[320] + vX_[282] * vX_[318];
+ vX_[281] = vX_[280] + vX_[281] + vX_[894] - vX_[315] - vX_[882];
+ vX_[671] = ((vX_[314] * vX_[332] + vX_[285] * vX_[869] - vX_[868] * vX_[285]) / vX_[314] + vX_[671] + vX_[845] * vX_[354] + vX_[317] * vX_[310] - vX_[872] * vX_[281]) / vX_[573];
+ vX_[868] = vX_[342] * vX_[874];
+ vX_[890] = vX_[868] - vX_[890];
+ vX_[869] = vX_[510] * vX_[342] + vX_[890] * vX_[342] - vX_[245] * vX_[317] - vX_[336] * vX_[317];
+ vX_[342] = vX_[295] * vX_[317] + vX_[251] * vX_[317] - vX_[276] * vX_[342] - vX_[893] * vX_[342];
+ vX_[280] = vX_[320] * vX_[869] + vX_[318] * vX_[342];
+ vX_[895] = (vX_[280] - vX_[688] * vX_[281]) / vX_[573];
+ vX_[315] = vX_[894] + vX_[315] - (vX_[689] * vX_[895] + vX_[280] * vX_[688]);
+ vX_[328] = (vX_[239] * vX_[627] + vX_[318] * vX_[432] + vX_[319] * vX_[354] + vX_[831] * vX_[310] - (vX_[689] * vX_[671] + vX_[280] * vX_[872]) - vX_[561] * vX_[315]) / vX_[570];
+ vX_[282] = vX_[322] * vX_[318] + vX_[282] * vX_[239];
+ vX_[342] = 0 - vX_[239] * vX_[342] - vX_[318] * vX_[869];
+ vX_[869] = vX_[282] - (vX_[480] * vX_[895] + vX_[342] * vX_[688]);
+ vX_[322] = (vX_[342] - vX_[574] * vX_[281]) / vX_[573];
+ vX_[282] = (vX_[282] - (vX_[689] * vX_[322] + vX_[280] * vX_[574]) - vX_[586] * vX_[315]) / vX_[570];
+ vX_[882] = vX_[894] + vX_[882] - (vX_[687] * vX_[282] + vX_[869] * vX_[586]) - (vX_[480] * vX_[322] + vX_[342] * vX_[574]);
+ vX_[432] = (vX_[318] * vX_[627] + vX_[320] * vX_[432] + 0.207 * vX_[771] + vX_[321] * vX_[354] + vX_[830] * vX_[310] - (vX_[687] * vX_[328] + vX_[869] * vX_[561]) - (vX_[480] * vX_[671] + vX_[342] * vX_[872]) - vX_[563] * vX_[882]) / vX_[572];
+ vX_[893] = vX_[893] + vX_[276];
+ vX_[868] = vX_[378] - vX_[868];
+ vX_[890] = vX_[510] + vX_[890] - vX_[868];
+ vX_[510] = vX_[318] * vX_[893] + vX_[239] * vX_[890];
+ vX_[251] = vX_[295] + vX_[251] - vX_[868];
+ vX_[336] = vX_[336] + vX_[245];
+ vX_[245] = vX_[318] * vX_[251] + vX_[239] * vX_[336];
+ vX_[295] = vX_[510] * vX_[239] + vX_[245] * vX_[318] + vX_[868];
+ vX_[284] = vX_[284] + vX_[646];
+ vX_[886] = vX_[886] + vX_[284];
+ vX_[891] = vX_[891] + vX_[896];
+ vX_[897] = vX_[897] + vX_[891];
+ vX_[284] = - vX_[284];
+ vX_[896] = vX_[320] * vX_[284] + vX_[318] * vX_[891];
+ vX_[646] = vX_[886] * vX_[239] + vX_[897] * vX_[318] - vX_[896];
+ vX_[378] = vX_[295] - (vX_[933] * vX_[895] + vX_[646] * vX_[688]);
+ vX_[336] = vX_[320] * vX_[251] + vX_[318] * vX_[336];
+ vX_[890] = vX_[320] * vX_[893] + vX_[318] * vX_[890];
+ vX_[893] = vX_[336] * vX_[318] + vX_[890] * vX_[239];
+ vX_[251] = vX_[893] - (vX_[913] * vX_[282] + vX_[378] * vX_[586]) - (vX_[933] * vX_[322] + vX_[646] * vX_[574]);
+ vX_[276] = vX_[896] - (vX_[949] * vX_[895] + vX_[868] * vX_[688]);
+ vX_[284] = vX_[318] * vX_[284] + vX_[239] * vX_[891];
+ vX_[891] = - vX_[284];
+ vX_[627] = vX_[891] - (vX_[932] * vX_[282] + vX_[276] * vX_[586]) - (vX_[949] * vX_[322] + vX_[868] * vX_[574]);
+ vX_[888] = vX_[888] - vX_[279];
+ vX_[249] = vX_[249] - vX_[279];
+ vX_[894] = vX_[318] * vX_[875];
+ vX_[410] = (vX_[318] * vX_[249] + vX_[239] * vX_[875]) * vX_[318] + (vX_[894] + vX_[239] * vX_[888]) * vX_[239];
+ vX_[894] = vX_[320] * vX_[249] + vX_[894];
+ vX_[875] = vX_[320] * vX_[875] + vX_[318] * vX_[888];
+ vX_[288] = vX_[894] * vX_[320] + vX_[875] * vX_[318];
+ vX_[683] = (vX_[868] - vX_[937] * vX_[281]) / vX_[573];
+ vX_[896] = (vX_[896] - (vX_[689] * vX_[683] + vX_[280] * vX_[937]) - vX_[938] * vX_[315]) / vX_[570];
+ vX_[891] = (vX_[891] - (vX_[687] * vX_[896] + vX_[869] * vX_[938]) - (vX_[480] * vX_[683] + vX_[342] * vX_[937]) - vX_[947] * vX_[882]) / vX_[572];
+ vX_[249] = vX_[888] + vX_[249] + vX_[279] - vX_[410] - vX_[288] - (vX_[932] * vX_[896] + vX_[276] * vX_[938]) - (vX_[949] * vX_[683] + vX_[868] * vX_[937]) - (vX_[946] * vX_[891] + vX_[627] * vX_[947]);
+ vX_[771] = (vX_[771] - (vX_[932] * vX_[328] + vX_[276] * vX_[561]) - (vX_[949] * vX_[671] + vX_[868] * vX_[872]) - (vX_[946] * vX_[432] + vX_[627] * vX_[563]) - vX_[618] * vX_[249]) / vX_[976];
+ vX_[874] = - vX_[874];
+ vX_[888] = vX_[320] * vX_[874] + vX_[318] * vX_[306];
+ vX_[889] = vX_[888] - (vX_[913] * vX_[896] + vX_[378] * vX_[938]) - (vX_[933] * vX_[683] + vX_[646] * vX_[937]) - (vX_[722] * vX_[891] + vX_[251] * vX_[947]);
+ vX_[519] = (vX_[646] - vX_[934] * vX_[281]) / vX_[573];
+ vX_[295] = (vX_[295] - (vX_[689] * vX_[519] + vX_[280] * vX_[934]) - vX_[935] * vX_[315]) / vX_[570];
+ vX_[893] = (vX_[893] - (vX_[687] * vX_[295] + vX_[869] * vX_[935]) - (vX_[480] * vX_[519] + vX_[342] * vX_[934]) - vX_[936] * vX_[882]) / vX_[572];
+ vX_[888] = (vX_[888] - (vX_[932] * vX_[295] + vX_[276] * vX_[935]) - (vX_[949] * vX_[519] + vX_[868] * vX_[934]) - (vX_[946] * vX_[893] + vX_[627] * vX_[936]) - vX_[919] * vX_[249]) / vX_[976];
+ vX_[410] = vX_[279] + vX_[410] - (vX_[913] * vX_[295] + vX_[378] * vX_[935]) - (vX_[933] * vX_[519] + vX_[646] * vX_[934]) - (vX_[722] * vX_[893] + vX_[251] * vX_[936]) - (vX_[948] * vX_[888] + vX_[889] * vX_[919]);
+ vX_[767] = (vX_[239] * vX_[354] + vX_[318] * vX_[310] - (vX_[913] * vX_[328] + vX_[378] * vX_[561]) - (vX_[933] * vX_[671] + vX_[646] * vX_[872]) - (vX_[722] * vX_[432] + vX_[251] * vX_[563]) - (vX_[948] * vX_[771] + vX_[889] * vX_[618]) - vX_[899] * vX_[410]) / vX_[973];
+ vX_[245] = vX_[245] * vX_[320] + vX_[510] * vX_[318];
+ vX_[284] = vX_[886] * vX_[318] + vX_[897] * vX_[320] + vX_[284];
+ vX_[897] = vX_[245] - (vX_[945] * vX_[895] + vX_[284] * vX_[688]);
+ vX_[890] = vX_[890] * vX_[318] + vX_[336] * vX_[320] + vX_[868];
+ vX_[336] = vX_[890] - (vX_[977] * vX_[282] + vX_[897] * vX_[586]) - (vX_[945] * vX_[322] + vX_[284] * vX_[574]);
+ vX_[874] = 0 - vX_[239] * vX_[306] - vX_[318] * vX_[874];
+ vX_[306] = vX_[874] - (vX_[977] * vX_[896] + vX_[897] * vX_[938]) - (vX_[945] * vX_[683] + vX_[284] * vX_[937]) - (vX_[474] * vX_[891] + vX_[336] * vX_[947]);
+ vX_[875] = vX_[894] * vX_[318] + vX_[875] * vX_[239];
+ vX_[894] = vX_[875] - (vX_[977] * vX_[295] + vX_[897] * vX_[935]) - (vX_[945] * vX_[519] + vX_[284] * vX_[934]) - (vX_[474] * vX_[893] + vX_[336] * vX_[936]) - (vX_[984] * vX_[888] + vX_[306] * vX_[919]);
+ vX_[281] = (vX_[284] - vX_[978] * vX_[281]) / vX_[573];
+ vX_[245] = (vX_[245] - (vX_[689] * vX_[281] + vX_[280] * vX_[978]) - vX_[979] * vX_[315]) / vX_[570];
+ vX_[890] = (vX_[890] - (vX_[687] * vX_[245] + vX_[869] * vX_[979]) - (vX_[480] * vX_[281] + vX_[342] * vX_[978]) - vX_[980] * vX_[882]) / vX_[572];
+ vX_[874] = (vX_[874] - (vX_[932] * vX_[245] + vX_[276] * vX_[979]) - (vX_[949] * vX_[281] + vX_[868] * vX_[978]) - (vX_[946] * vX_[890] + vX_[627] * vX_[980]) - vX_[985] * vX_[249]) / vX_[976];
+ vX_[875] = (vX_[875] - (vX_[913] * vX_[245] + vX_[378] * vX_[979]) - (vX_[933] * vX_[281] + vX_[646] * vX_[978]) - (vX_[722] * vX_[890] + vX_[251] * vX_[980]) - (vX_[948] * vX_[874] + vX_[889] * vX_[985]) - vX_[986] * vX_[410]) / vX_[973];
+ vX_[894] = (vX_[318] * vX_[354] + vX_[832] * vX_[310] - (vX_[977] * vX_[328] + vX_[897] * vX_[561]) - (vX_[945] * vX_[671] + vX_[284] * vX_[872]) - (vX_[474] * vX_[432] + vX_[336] * vX_[563]) - (vX_[984] * vX_[771] + vX_[306] * vX_[618]) - (vX_[955] * vX_[767] + vX_[894] * vX_[899]) - vX_[568] * (vX_[279] + vX_[288] - (vX_[977] * vX_[245] + vX_[897] * vX_[979]) - (vX_[945] * vX_[281] + vX_[284] * vX_[978]) - (vX_[474] * vX_[890] + vX_[336] * vX_[980]) - (vX_[984] * vX_[874] + vX_[306] * vX_[985]) - (vX_[955] * vX_[875] + vX_[894] * vX_[986]))) / vX_[975];
+ jac[419] = - vX_[894];
+ vX_[875] = vX_[767] - (vX_[986] * vX_[894] + vX_[875] * vX_[568]);
+ jac[418] = - vX_[875];
+ vX_[874] = vX_[771] - (vX_[985] * vX_[894] + vX_[874] * vX_[568]) - (vX_[919] * vX_[875] + vX_[888] * vX_[358]);
+ jac[417] = - vX_[874];
+ vX_[890] = vX_[432] - (vX_[936] * vX_[875] + vX_[893] * vX_[358]) - (vX_[947] * vX_[874] + vX_[891] * vX_[912]) - (vX_[980] * vX_[894] + vX_[890] * vX_[568]);
+ jac[416] = - vX_[890];
+ vX_[245] = vX_[328] - (vX_[938] * vX_[874] + vX_[896] * vX_[912]) - (vX_[586] * vX_[890] + vX_[282] * vX_[452]) - (vX_[935] * vX_[875] + vX_[295] * vX_[358]) - (vX_[979] * vX_[894] + vX_[245] * vX_[568]);
+ jac[414] = vX_[574] * vX_[890] + vX_[322] * vX_[452] + vX_[688] * vX_[245] + vX_[895] * vX_[885] + vX_[937] * vX_[874] + vX_[683] * vX_[912] + vX_[934] * vX_[875] + vX_[519] * vX_[358] + vX_[978] * vX_[894] + vX_[281] * vX_[568] - vX_[671];
+ jac[415] = - vX_[245];
+ vX_[245] = -1 * jac[414];
+ vX_[890] = vX_[440] * jac[416] + vX_[360] * jac[415];
+ vX_[874] = vX_[360] * jac[416] + vX_[441] * jac[415];
+ vX_[875] = -1 * jac[417];
+ vX_[894] = 0.207 * jac[416] + vX_[875];
+ vX_[281] = vX_[610] * jac[416] + vX_[611] * jac[415] + vX_[438] * jac[414] + vX_[359] * jac[419] + vX_[612] * jac[418];
+ jac[420] = (0 - vX_[435] * vX_[245] - vX_[472] * vX_[890] - vX_[430] * vX_[874] - vX_[457] * vX_[894] - vX_[449] * (vX_[443] * jac[416] + vX_[442] * jac[415] + vX_[596] * jac[414] + vX_[440] * jac[419] + vX_[597] * jac[418]) - vX_[433] * vX_[281]) / vX_[435];
+ vX_[519] = -1 * vX_[890];
+ vX_[683] = vX_[245] + jac[420];
+ vX_[322] = vX_[361] * vX_[894] + vX_[625] * vX_[281] + vX_[592] * vX_[890];
+ vX_[281] = vX_[388] * vX_[894] + vX_[361] * vX_[281] + vX_[409] * vX_[890];
+ jac[421] = (0 - vX_[385] * vX_[519] - vX_[392] * (vX_[361] * vX_[683] + vX_[389] * vX_[874]) - vX_[373] * (vX_[388] * vX_[683] + vX_[361] * vX_[874]) - vX_[383] * vX_[322] - vX_[396] * vX_[281]) / vX_[385];
+ vX_[519] = vX_[519] + jac[421];
+ jac[422] = (0 - 0.1104774 * (vX_[362] * vX_[322] + vX_[636] * vX_[281] + vX_[637] * vX_[519]) - -0.0004405 * (vX_[364] * vX_[322] + vX_[362] * vX_[281] + vX_[367] * vX_[519]) - 0.026181 * vX_[519]) / 0.026181;
+ vX_[519] = vX_[318] * jac[416] + vX_[239] * jac[415];
+ vX_[281] = vX_[320] * jac[416] + vX_[318] * jac[415];
+ vX_[322] = 0.207 * jac[416] + jac[417];
+ vX_[683] = vX_[830] * jac[416] + vX_[831] * jac[415] + vX_[317] * jac[414] + vX_[832] * jac[419] + vX_[318] * jac[418];
+ jac[423] = (vX_[332] - (vX_[314] * jac[414] + vX_[285] * vX_[760]) - (vX_[350] * vX_[519] + vX_[333] * vX_[304]) - (vX_[309] * vX_[281] + vX_[283] * vX_[656]) - (vX_[335] * vX_[322] + vX_[291] * vX_[331]) - (vX_[327] * (vX_[321] * jac[416] + vX_[319] * jac[415] + vX_[845] * jac[414] + vX_[318] * jac[419] + vX_[239] * jac[418]) + vX_[247] * vX_[353]) - (vX_[312] * vX_[683] + vX_[258] * vX_[606]) - vX_[302] * vX_[285]) / vX_[314];
+ vX_[291] = jac[414] + jac[423];
+ vX_[877] = vX_[287] * vX_[682] + vX_[268] * vX_[656] + vX_[877];
+ vX_[682] = vX_[268] * vX_[682] + vX_[240] * vX_[656] + vX_[878];
+ vX_[656] = vX_[850] * vX_[322] + vX_[851] * vX_[683] + vX_[852] * vX_[519];
+ vX_[880] = vX_[850] * vX_[331] + vX_[851] * vX_[606] + vX_[852] * vX_[304] + vX_[880];
+ vX_[683] = vX_[267] * vX_[322] + vX_[240] * vX_[683] + vX_[289] * vX_[519];
+ vX_[606] = vX_[267] * vX_[331] + vX_[240] * vX_[606] + vX_[289] * vX_[304] + vX_[881];
+ vX_[887] = (vX_[887] - vX_[264] * vX_[304] - vX_[271] * vX_[877] - vX_[252] * vX_[682] - vX_[262] * vX_[880] - vX_[275] * vX_[606]) / vX_[264];
+ jac[424] = (vX_[290] - (vX_[264] * vX_[519] + vX_[257] * vX_[304]) - (vX_[271] * (vX_[287] * vX_[291] + vX_[268] * vX_[281]) + vX_[983] * vX_[877]) - (vX_[252] * (vX_[268] * vX_[291] + vX_[240] * vX_[281]) + vX_[339] * vX_[682]) - (vX_[262] * vX_[656] + vX_[918] * vX_[880]) - (vX_[275] * vX_[683] + vX_[404] * vX_[606]) - vX_[887] * vX_[257]) / vX_[264];
+ vX_[519] = vX_[519] + jac[424];
+ vX_[887] = vX_[304] + vX_[887];
+ jac[425] = (vX_[924] - 0.1104774 * (vX_[241] * vX_[656] + vX_[348] * vX_[880] + vX_[854] * vX_[683] + vX_[691] * vX_[606] + vX_[856] * vX_[519] + vX_[672] * vX_[887] + vX_[562]) - -0.0004405 * (vX_[243] * vX_[656] + vX_[964] * vX_[880] + vX_[241] * vX_[683] + vX_[348] * vX_[606] + vX_[246] * vX_[519] + vX_[301] * vX_[887] + vX_[427]) - 0.026181 * vX_[519]) / 0.026181;
+ vX_[887] = vX_[198] * jac[416] + vX_[128] * jac[415];
+ vX_[519] = vX_[128] * jac[416] + vX_[199] * jac[415];
+ vX_[875] = 0.207 * jac[416] + vX_[875];
+ vX_[606] = vX_[762] * jac[416] + vX_[763] * jac[415] + vX_[196] * jac[414] + vX_[764] * jac[419] + vX_[765] * jac[418];
+ jac[426] = (0 - vX_[193] * vX_[245] - vX_[230] * vX_[887] - vX_[188] * vX_[519] - vX_[215] * vX_[875] - vX_[207] * (vX_[201] * jac[416] + vX_[200] * jac[415] + vX_[701] * jac[414] + vX_[198] * jac[419] + vX_[127] * jac[418]) - vX_[191] * vX_[606]) / vX_[193];
+ vX_[683] = -1 * vX_[887];
+ vX_[245] = vX_[245] + jac[426];
+ vX_[880] = vX_[129] * vX_[875] + vX_[772] * vX_[606] + vX_[773] * vX_[887];
+ vX_[606] = vX_[149] * vX_[875] + vX_[129] * vX_[606] + vX_[167] * vX_[887];
+ jac[427] = (0 - vX_[146] * vX_[683] - 2.1e-05 * (vX_[129] * vX_[245] + vX_[150] * vX_[519]) - -0.000102 * (vX_[149] * vX_[245] + vX_[129] * vX_[519]) - vX_[144] * vX_[880] - vX_[154] * vX_[606]) / vX_[146];
+ vX_[683] = vX_[683] + jac[427];
+ jac[428] = (0 - 0.110125 * (vX_[132] * vX_[880] + vX_[782] * vX_[606] + vX_[783] * vX_[683]) - 0.000881 * (vX_[130] * vX_[880] + vX_[132] * vX_[606] + vX_[131] * vX_[683]) - 0.026181 * vX_[683]) / 0.026181;
+ vX_[683] = vX_[86] * jac[416] + vX_[24] * jac[415];
+ vX_[606] = vX_[88] * jac[416] + vX_[86] * jac[415];
+ vX_[880] = 0.207 * jac[416] + jac[417];
+ vX_[245] = vX_[649] * jac[416] + vX_[608] * jac[415] + vX_[85] * jac[414] + vX_[616] * jac[419] + vX_[86] * jac[418];
+ jac[429] = (0 - vX_[82] * jac[414] - vX_[118] * vX_[683] - vX_[77] * vX_[606] - vX_[103] * vX_[880] - vX_[95] * (vX_[89] * jac[416] + vX_[87] * jac[415] + vX_[703] * jac[414] + vX_[86] * jac[419] + vX_[24] * jac[418]) - vX_[80] * vX_[245]) / vX_[82];
+ vX_[519] = jac[414] + jac[429];
+ vX_[875] = vX_[708] * vX_[880] + vX_[709] * vX_[245] + vX_[710] * vX_[683];
+ vX_[245] = vX_[10] * vX_[880] + vX_[33] * vX_[245] + vX_[57] * vX_[683];
+ jac[430] = (0 - vX_[17] * vX_[683] - vX_[6] * (vX_[55] * vX_[519] + vX_[38] * vX_[606]) - vX_[23] * (vX_[38] * vX_[519] + vX_[33] * vX_[606]) - vX_[15] * vX_[875] - vX_[43] * vX_[245]) / vX_[17];
+ vX_[683] = vX_[683] + jac[430];
+ jac[431] = (0 - 0.1104774 * (vX_[20] * vX_[875] + vX_[712] * vX_[245] + vX_[714] * vX_[683]) - 0.0004405 * (vX_[37] * vX_[875] + vX_[20] * vX_[245] + vX_[34] * vX_[683]) - 0.026181 * vX_[683]) / 0.026181;
+ vX_[683] = -1 * sin(x_in[12]);
+ vX_[245] = - vX_[683];
+ vX_[875] = cos(x_in[12]);
+ vX_[519] = vX_[245] * x_in[19] + vX_[875] * x_in[20];
+ vX_[606] = 0.3735 * vX_[683];
+ vX_[880] = 0.3735 * vX_[875];
+ vX_[887] = 0.207 * vX_[875];
+ vX_[656] = - vX_[683];
+ vX_[427] = vX_[606] * x_in[20] + vX_[880] * x_in[19] + vX_[887] * x_in[18] + vX_[875] * x_in[23] + vX_[656] * x_in[22];
+ vX_[562] = vX_[519] * vX_[759] - vX_[761] * vX_[427];
+ vX_[924] = vX_[519] * vX_[761];
+ vX_[672] = - vX_[875];
+ vX_[691] = vX_[672] * x_in[19] + vX_[245] * x_in[20];
+ vX_[301] = vX_[756] * vX_[691] + vX_[691] * vX_[756];
+ vX_[348] = -1 * vX_[427];
+ vX_[964] = vX_[129] * vX_[691];
+ vX_[304] = vX_[769] * vX_[348] + vX_[964] * vX_[808];
+ vX_[682] = 0.3735 * vX_[875];
+ vX_[877] = -0.3735 * vX_[683];
+ vX_[291] = -0.207 * vX_[683];
+ vX_[683] = - vX_[683];
+ vX_[281] = - vX_[875];
+ vX_[404] = vX_[682] * x_in[20] + vX_[877] * x_in[19] + vX_[291] * x_in[18] + vX_[683] * x_in[23] + vX_[281] * x_in[22];
+ vX_[339] = vX_[129] * vX_[404] + vX_[167] * vX_[519];
+ vX_[983] = -1 * vX_[519];
+ vX_[918] = vX_[770] * vX_[339] + vX_[983] * vX_[776];
+ vX_[257] = vX_[150] * vX_[691];
+ vX_[290] = vX_[769] * vX_[257] + vX_[964] * vX_[775];
+ vX_[331] = -0.35 * vX_[257] + vX_[348];
+ vX_[881] = vX_[132] * vX_[964] + vX_[130] * vX_[257];
+ vX_[322] = vX_[779] * vX_[331] + vX_[881] * vX_[812];
+ vX_[878] = vX_[772] * vX_[404] + vX_[773] * vX_[519];
+ vX_[332] = vX_[130] * vX_[878] + vX_[132] * vX_[339] + vX_[131] * vX_[983];
+ vX_[258] = vX_[780] * vX_[332] + vX_[983] * vX_[786];
+ vX_[247] = vX_[142] * vX_[964] + vX_[132] * vX_[257];
+ vX_[283] = vX_[779] * vX_[247] + vX_[881] * vX_[785];
+ vX_[285] = (- vX_[332]) * x_in[32];
+ vX_[333] = vX_[132] * vX_[878] + vX_[782] * vX_[339] + vX_[783] * vX_[983];
+ vX_[302] = vX_[333] * x_in[32];
+ vX_[331] = vX_[785] * vX_[331] + vX_[247] * vX_[812] - (vX_[780] * vX_[333] + vX_[983] * vX_[784]);
+ vX_[353] = 0.110125 * (vX_[258] - vX_[322]) + 0.025941 * vX_[283] - -0.000881 * vX_[331];
+ vX_[874] = 0 - vX_[353];
+ vX_[894] = vX_[780] * vX_[983] + vX_[983] * vX_[780];
+ vX_[258] = -0.881 * (vX_[322] - vX_[258]) + 0.110125 * vX_[283] + 0.417781802643138 * vX_[285] + -0.00370574557885489 * vX_[302] + (0.110125 * vX_[874]) / 0.026181 - -0.000881 * (vX_[894] + vX_[779] * vX_[881] + vX_[881] * vX_[779]);
+ vX_[894] = 0.881 * vX_[331] + -0.000881 * vX_[283] + -0.00370574557885489 * vX_[285] + 0.880970354035369 * vX_[302] + (0.000881 * vX_[874]) / 0.026181 - 0.110125 * (vX_[894] + vX_[785] * vX_[247] + vX_[247] * vX_[785]);
+ vX_[331] = (- vX_[964]) * x_in[31];
+ vX_[283] = vX_[257] * x_in[31];
+ vX_[322] = (- vX_[339]) * x_in[31];
+ vX_[890] = vX_[878] * x_in[31];
+ vX_[895] = vX_[769] * vX_[983] + vX_[964] * vX_[770];
+ vX_[348] = vX_[775] * vX_[348] + vX_[257] * vX_[808] - (vX_[770] * vX_[878] + vX_[983] * vX_[774]);
+ vX_[671] = vX_[775] * vX_[983] + vX_[257] * vX_[770];
+ vX_[295] = vX_[775] * vX_[257] + vX_[257] * vX_[775];
+ vX_[896] = vX_[769] * vX_[964] + vX_[964] * vX_[769];
+ vX_[353] = 0.47422804 * (vX_[918] - vX_[304]) + 0.081641 * vX_[290] + 2.1e-05 * vX_[895] + (0.026181 * vX_[874]) / 0.026181 + vX_[353] + vX_[783] * vX_[258] + vX_[131] * vX_[894] - 0.0825825 * vX_[348] - -0.000102 * vX_[671] - -0.007418 * (vX_[295] - vX_[896]);
+ vX_[282] = 0 - vX_[353];
+ vX_[328] = vX_[770] * vX_[983] + vX_[983] * vX_[770];
+ vX_[918] = -3.146 * (vX_[304] - vX_[918]) + 0.47422804 * vX_[290] + vX_[132] * vX_[258] + vX_[130] * vX_[894] + vX_[151] * vX_[331] + vX_[148] * vX_[283] + vX_[177] * vX_[322] + vX_[179] * vX_[890] + (vX_[144] * vX_[282]) / vX_[146] - 0.0825825 * (vX_[328] + vX_[896]);
+ vX_[348] = 3.146 * vX_[348] + 0.0825825 * vX_[290] + vX_[782] * vX_[258] + vX_[132] * vX_[894] + vX_[157] * vX_[331] + vX_[156] * vX_[283] + vX_[179] * vX_[322] + vX_[178] * vX_[890] + (vX_[154] * vX_[282]) / vX_[146] - 0.47422804 * (vX_[328] + vX_[295]);
+ vX_[894] = (- vX_[691]) * x_in[30];
+ vX_[258] = vX_[519] * x_in[30];
+ vX_[304] = (- vX_[404]) * x_in[30];
+ vX_[893] = vX_[427] * x_in[30];
+ vX_[891] = vX_[756] * vX_[519] + vX_[691] * vX_[757];
+ vX_[432] = vX_[761] * vX_[404];
+ vX_[888] = vX_[691] * vX_[759];
+ vX_[771] = vX_[691] * vX_[761];
+ vX_[767] = (- vX_[881]) * x_in[32];
+ vX_[333] = vX_[779] * vX_[333] + vX_[881] * vX_[784] - (vX_[785] * vX_[332] + vX_[247] * vX_[786]);
+ vX_[881] = vX_[779] * vX_[983] + vX_[881] * vX_[780];
+ vX_[332] = 0.026409 * vX_[767] - 0.110125 * vX_[333] - 0.025713 * vX_[881];
+ vX_[983] = vX_[785] * vX_[983] + vX_[247] * vX_[780];
+ vX_[247] = vX_[247] * x_in[32];
+ vX_[306] = -0.000227999999999999 * vX_[983] + -0.000881 * vX_[333] + 0.000468 * vX_[247];
+ vX_[247] = 0.110125 * vX_[881] + 0.881 * vX_[333] + -0.000881 * vX_[983] + -0.110125 * vX_[767] + -0.000881 * vX_[247];
+ vX_[878] = vX_[769] * vX_[878] + vX_[964] * vX_[774] - (vX_[775] * vX_[339] + vX_[257] * vX_[776]);
+ vX_[896] = -0.007418 * vX_[671] + -0.000102 * (vX_[328] - vX_[896]) + vX_[132] * vX_[332] + vX_[130] * vX_[306] + -0.35 * vX_[247] + vX_[173] * vX_[331] + vX_[165] * vX_[283] + vX_[151] * vX_[322] + vX_[157] * vX_[890] + (2.1e-05 * vX_[282]) / vX_[146] - 0.47422804 * vX_[878] - 0.084376 * vX_[895] - 2.1e-05 * vX_[290];
+ vX_[306] = 0.002735 * vX_[671] + 0.0825825 * vX_[878] + -0.000102 * vX_[290] + vX_[142] * vX_[332] + vX_[132] * vX_[306] + vX_[165] * vX_[331] + vX_[172] * vX_[283] + vX_[148] * vX_[322] + vX_[156] * vX_[890] + (-0.000102 * vX_[282]) / vX_[146] - -0.007418 * vX_[895] - 2.1e-05 * (vX_[328] - vX_[295]);
+ vX_[878] = 0.47422804 * vX_[895] + 3.146 * vX_[878] + 0.0825825 * vX_[671] + vX_[247] + vX_[143] * vX_[331] + vX_[153] * vX_[283];
+ vX_[247] = vX_[757] * vX_[519] + vX_[519] * vX_[757];
+ vX_[671] = 0.009466 * vX_[891] + 0.1466472 * (vX_[432] - vX_[888]) + -5.1e-05 * vX_[771] + vX_[129] * vX_[896] + vX_[149] * vX_[306] + -0.08 * vX_[878] - 0.022734 * vX_[924] - 3.6e-05 * (vX_[247] - vX_[301]);
+ vX_[895] = 0 - vX_[671];
+ vX_[404] = vX_[756] * vX_[427] + vX_[691] * vX_[802] - (vX_[757] * vX_[404] + vX_[519] * vX_[766]);
+ vX_[353] = -0.5824264 * vX_[562] + 3.6e-05 * vX_[924] + 0.022734 * (0 - vX_[301]) + vX_[773] * vX_[918] + vX_[167] * vX_[348] + -1 * (vX_[353] + (vX_[146] * vX_[282]) / vX_[146]) + vX_[497] * vX_[894] + vX_[547] * vX_[258] + vX_[231] * vX_[304] + vX_[220] * vX_[893] + (vX_[230] * vX_[895]) / vX_[193] - 0.1466472 * vX_[404] - -0.123672 * vX_[771] - -5.1e-05 * vX_[891];
+ vX_[306] = -0.133138 * vX_[924] + -0.5824264 * (vX_[888] - vX_[432]) + 0.022734 * vX_[891] + vX_[150] * vX_[896] + vX_[129] * vX_[306] + vX_[547] * vX_[894] + vX_[192] * vX_[258] + vX_[221] * vX_[304] + vX_[195] * vX_[893] + (vX_[188] * vX_[895]) / vX_[193] - 3.6e-05 * vX_[771] - -5.1e-05 * (0 - vX_[247]);
+ vX_[404] = 3.44 * vX_[404] + 0.1466472 * vX_[771] + vX_[129] * vX_[918] + vX_[149] * vX_[348] + vX_[206] * vX_[894] + vX_[182] * vX_[258] + vX_[224] * vX_[304] + vX_[217] * vX_[893] + (vX_[215] * vX_[895]) / vX_[193] - -0.5824264 * (vX_[247] + vX_[301]);
+ vX_[878] = 0.1466472 * vX_[891] + -3.44 * (vX_[888] - vX_[432]) + -0.5824264 * vX_[924] + -1 * vX_[878] + vX_[231] * vX_[894] + vX_[221] * vX_[258] + vX_[223] * vX_[304] + vX_[209] * vX_[893] + (vX_[207] * vX_[895]) / vX_[193];
+ vX_[247] = 3.44 * vX_[562] + -0.5824264 * vX_[771] + vX_[772] * vX_[918] + vX_[129] * vX_[348] + vX_[220] * vX_[894] + vX_[195] * vX_[258] + vX_[209] * vX_[304] + vX_[235] * vX_[893] + (vX_[191] * vX_[895]) / vX_[193] - 0.1466472 * vX_[247];
+ vX_[771] = 0.207 * vX_[875];
+ vX_[348] = vX_[199] * vX_[880] + vX_[672] * vX_[200] + vX_[128] * vX_[606] + vX_[245] * vX_[201];
+ vX_[918] = vX_[771] * vX_[234] - vX_[348] * vX_[217];
+ vX_[562] = vX_[771] * vX_[217] - vX_[348] * vX_[235];
+ vX_[888] = -1 * vX_[291];
+ vX_[432] = vX_[888] * vX_[235] - vX_[771] * vX_[209];
+ vX_[891] = vX_[888] * vX_[209] - vX_[771] * vX_[223];
+ vX_[501] = vX_[500] * vX_[888] + vX_[432] * vX_[197] - (vX_[501] * vX_[771] + vX_[891] * vX_[222]);
+ vX_[499] = vX_[495] * vX_[771] + vX_[498] * vX_[771] + vX_[918] * vX_[222] - vX_[499] * vX_[348] - (vX_[236] * vX_[348] + vX_[562] * vX_[202]) - vX_[501];
+ vX_[498] = vX_[348] * vX_[223] - vX_[888] * vX_[224];
+ vX_[234] = vX_[348] * vX_[224] - vX_[888] * vX_[234];
+ vX_[506] = vX_[504] * vX_[348] + vX_[225] * vX_[348] + vX_[498] * vX_[202] - vX_[506] * vX_[888] - (vX_[507] * vX_[888] + vX_[234] * vX_[197]) - vX_[501];
+ vX_[504] = vX_[348] * vX_[209];
+ vX_[495] = vX_[888] * vX_[217];
+ vX_[500] = vX_[504] - vX_[495];
+ vX_[348] = vX_[231] * vX_[348] + vX_[182] * vX_[771] + vX_[507] * vX_[771] + vX_[234] * vX_[222] - vX_[195] * vX_[348] - vX_[206] * vX_[888] - (vX_[219] * vX_[348] + vX_[500] * vX_[202]);
+ vX_[507] = vX_[128] * vX_[348] + vX_[245] * vX_[548];
+ vX_[551] = vX_[550] * vX_[672] + (vX_[199] * vX_[506] + vX_[672] * vX_[508] + vX_[507]) * vX_[199] + vX_[551] * vX_[245] + (vX_[199] * vX_[348] + vX_[672] * vX_[548] + vX_[128] * vX_[499] + vX_[245] * vX_[503]) * vX_[128];
+ vX_[348] = vX_[128] * vX_[506] + vX_[245] * vX_[508] + vX_[198] * vX_[348] + vX_[875] * vX_[548];
+ vX_[507] = vX_[507] + vX_[198] * vX_[499] + vX_[875] * vX_[503];
+ vX_[503] = vX_[553] * vX_[245] + vX_[348] * vX_[128] + vX_[549] * vX_[875] + vX_[507] * vX_[198];
+ vX_[506] = vX_[499] + vX_[506] + vX_[501] - vX_[551] - vX_[503];
+ vX_[671] = (vX_[701] * vX_[878] + vX_[887] * vX_[796] + vX_[196] * vX_[247] + vX_[291] * vX_[805] + -1 * (vX_[671] + (vX_[193] * vX_[895]) / vX_[193]) - vX_[872] * vX_[506]) / vX_[573];
+ vX_[499] = vX_[771] * vX_[224];
+ vX_[504] = vX_[499] - vX_[504];
+ vX_[236] = vX_[231] * vX_[771] + vX_[210] * vX_[771] + vX_[504] * vX_[222] - vX_[220] * vX_[888] - (vX_[236] * vX_[888] + vX_[562] * vX_[197]);
+ vX_[888] = vX_[195] * vX_[888] + vX_[219] * vX_[888] + vX_[500] * vX_[197] - vX_[221] * vX_[771] - (vX_[225] * vX_[771] + vX_[498] * vX_[222]);
+ vX_[771] = vX_[128] * vX_[236] + vX_[245] * vX_[237] + vX_[198] * vX_[888] + vX_[875] * vX_[226];
+ vX_[225] = (vX_[771] - vX_[688] * vX_[506]) / vX_[573];
+ vX_[551] = vX_[501] + vX_[551] - (vX_[689] * vX_[225] + vX_[771] * vX_[688]);
+ vX_[219] = (vX_[128] * vX_[353] + vX_[245] * vX_[824] + vX_[199] * vX_[306] + vX_[672] * vX_[810] + vX_[200] * vX_[878] + vX_[880] * vX_[796] + vX_[763] * vX_[247] + vX_[877] * vX_[805] - (vX_[689] * vX_[671] + vX_[771] * vX_[872]) - vX_[561] * vX_[551]) / vX_[570];
+ vX_[507] = vX_[553] * vX_[672] + vX_[348] * vX_[199] + vX_[549] * vX_[245] + vX_[507] * vX_[128];
+ vX_[888] = 0 - (vX_[128] * vX_[888] + vX_[245] * vX_[226]) - (vX_[199] * vX_[236] + vX_[672] * vX_[237]);
+ vX_[236] = vX_[507] - (vX_[480] * vX_[225] + vX_[888] * vX_[688]);
+ vX_[237] = (vX_[888] - vX_[574] * vX_[506]) / vX_[573];
+ vX_[507] = (vX_[507] - (vX_[689] * vX_[237] + vX_[771] * vX_[574]) - vX_[586] * vX_[551]) / vX_[570];
+ vX_[503] = vX_[501] + vX_[503] - (vX_[687] * vX_[507] + vX_[236] * vX_[586]) - (vX_[480] * vX_[237] + vX_[888] * vX_[574]);
+ vX_[306] = (vX_[198] * vX_[353] + vX_[875] * vX_[824] + vX_[128] * vX_[306] + vX_[245] * vX_[810] + 0.207 * vX_[404] + vX_[201] * vX_[878] + vX_[606] * vX_[796] + vX_[762] * vX_[247] + vX_[682] * vX_[805] - (vX_[687] * vX_[219] + vX_[236] * vX_[561]) - (vX_[480] * vX_[671] + vX_[888] * vX_[872]) - vX_[563] * vX_[503]) / vX_[572];
+ vX_[499] = vX_[495] - vX_[499];
+ vX_[504] = vX_[504] - vX_[499];
+ vX_[495] = vX_[199] * vX_[498] + vX_[672] * vX_[488] + vX_[128] * vX_[504] + vX_[245] * vX_[615];
+ vX_[500] = vX_[500] - vX_[499];
+ vX_[353] = vX_[199] * vX_[500] + vX_[672] * vX_[218] + vX_[128] * vX_[562] + vX_[245] * vX_[516];
+ vX_[810] = vX_[695] * vX_[245] + vX_[495] * vX_[128] + vX_[468] * vX_[672] + vX_[353] * vX_[199] + vX_[499];
+ vX_[891] = -1 * (vX_[891] + vX_[918]);
+ vX_[432] = -1 * (vX_[432] + vX_[234]);
+ vX_[918] = - vX_[918];
+ vX_[824] = vX_[128] * vX_[918] + vX_[245] * vX_[920] + vX_[198] * vX_[234] + vX_[875] * vX_[922];
+ vX_[501] = vX_[921] * vX_[245] + vX_[891] * vX_[128] + vX_[923] * vX_[672] + vX_[432] * vX_[199] - vX_[824];
+ vX_[226] = vX_[810] - (vX_[933] * vX_[225] + vX_[501] * vX_[688]);
+ vX_[500] = vX_[128] * vX_[500] + vX_[245] * vX_[218] + vX_[198] * vX_[562] + vX_[875] * vX_[516];
+ vX_[504] = vX_[128] * vX_[498] + vX_[245] * vX_[488] + vX_[198] * vX_[504] + vX_[875] * vX_[615];
+ vX_[498] = vX_[502] * vX_[672] + vX_[500] * vX_[199] + vX_[594] * vX_[245] + vX_[504] * vX_[128];
+ vX_[615] = vX_[498] - (vX_[913] * vX_[507] + vX_[226] * vX_[586]) - (vX_[933] * vX_[237] + vX_[501] * vX_[574]);
+ vX_[488] = vX_[824] - (vX_[949] * vX_[225] + vX_[499] * vX_[688]);
+ vX_[918] = vX_[199] * vX_[918] + vX_[672] * vX_[920] + vX_[128] * vX_[234] + vX_[245] * vX_[922];
+ vX_[234] = - vX_[918];
+ vX_[920] = vX_[234] - (vX_[932] * vX_[507] + vX_[488] * vX_[586]) - (vX_[949] * vX_[237] + vX_[499] * vX_[574]);
+ vX_[922] = vX_[245] * vX_[209];
+ vX_[960] = vX_[959] * vX_[672] + (vX_[672] * vX_[940] + vX_[922]) * vX_[199] + vX_[960] * vX_[245] + (vX_[672] * vX_[209] + vX_[245] * vX_[942]) * vX_[128];
+ vX_[940] = vX_[245] * vX_[940] + vX_[875] * vX_[209];
+ vX_[922] = vX_[922] + vX_[875] * vX_[942];
+ vX_[942] = vX_[962] * vX_[245] + vX_[940] * vX_[128] + vX_[958] * vX_[875] + vX_[922] * vX_[198];
+ vX_[959] = (vX_[499] - vX_[937] * vX_[506]) / vX_[573];
+ vX_[824] = (vX_[824] - (vX_[689] * vX_[959] + vX_[771] * vX_[937]) - vX_[938] * vX_[551]) / vX_[570];
+ vX_[234] = (vX_[234] - (vX_[687] * vX_[824] + vX_[236] * vX_[938]) - (vX_[480] * vX_[959] + vX_[888] * vX_[937]) - vX_[947] * vX_[503]) / vX_[572];
+ vX_[562] = 0 - vX_[960] - vX_[942] - (vX_[932] * vX_[824] + vX_[488] * vX_[938]) - (vX_[949] * vX_[959] + vX_[499] * vX_[937]) - (vX_[946] * vX_[234] + vX_[920] * vX_[947]);
+ vX_[404] = (-1 * vX_[404] - (vX_[932] * vX_[219] + vX_[488] * vX_[561]) - (vX_[949] * vX_[671] + vX_[499] * vX_[872]) - (vX_[946] * vX_[306] + vX_[920] * vX_[563]) - vX_[618] * vX_[562]) / vX_[976];
+ vX_[516] = vX_[245] * vX_[523] + vX_[875] * vX_[217];
+ vX_[218] = vX_[516] - (vX_[913] * vX_[824] + vX_[226] * vX_[938]) - (vX_[933] * vX_[959] + vX_[501] * vX_[937]) - (vX_[722] * vX_[234] + vX_[615] * vX_[947]);
+ vX_[348] = (vX_[501] - vX_[934] * vX_[506]) / vX_[573];
+ vX_[810] = (vX_[810] - (vX_[689] * vX_[348] + vX_[771] * vX_[934]) - vX_[935] * vX_[551]) / vX_[570];
+ vX_[498] = (vX_[498] - (vX_[687] * vX_[810] + vX_[236] * vX_[935]) - (vX_[480] * vX_[348] + vX_[888] * vX_[934]) - vX_[936] * vX_[503]) / vX_[572];
+ vX_[516] = (vX_[516] - (vX_[932] * vX_[810] + vX_[488] * vX_[935]) - (vX_[949] * vX_[348] + vX_[499] * vX_[934]) - (vX_[946] * vX_[498] + vX_[920] * vX_[936]) - vX_[919] * vX_[562]) / vX_[976];
+ vX_[960] = vX_[960] - (vX_[913] * vX_[810] + vX_[226] * vX_[935]) - (vX_[933] * vX_[348] + vX_[501] * vX_[934]) - (vX_[722] * vX_[498] + vX_[615] * vX_[936]) - (vX_[948] * vX_[516] + vX_[218] * vX_[919]);
+ vX_[549] = (vX_[127] * vX_[878] + vX_[656] * vX_[796] + vX_[765] * vX_[247] + vX_[281] * vX_[805] - (vX_[913] * vX_[219] + vX_[226] * vX_[561]) - (vX_[933] * vX_[671] + vX_[501] * vX_[872]) - (vX_[722] * vX_[306] + vX_[615] * vX_[563]) - (vX_[948] * vX_[404] + vX_[218] * vX_[618]) - vX_[899] * vX_[960]) / vX_[973];
+ vX_[353] = vX_[468] * vX_[245] + vX_[353] * vX_[128] + vX_[695] * vX_[875] + vX_[495] * vX_[198];
+ vX_[918] = vX_[921] * vX_[875] + vX_[891] * vX_[198] + vX_[923] * vX_[245] + vX_[432] * vX_[128] + vX_[918];
+ vX_[432] = vX_[353] - (vX_[945] * vX_[225] + vX_[918] * vX_[688]);
+ vX_[504] = vX_[594] * vX_[875] + vX_[504] * vX_[198] + vX_[502] * vX_[245] + vX_[500] * vX_[128] + vX_[499];
+ vX_[500] = vX_[504] - (vX_[977] * vX_[507] + vX_[432] * vX_[586]) - (vX_[945] * vX_[237] + vX_[918] * vX_[574]);
+ vX_[523] = 0 - vX_[245] * vX_[217] - vX_[672] * vX_[523];
+ vX_[594] = vX_[523] - (vX_[977] * vX_[824] + vX_[432] * vX_[938]) - (vX_[945] * vX_[959] + vX_[918] * vX_[937]) - (vX_[474] * vX_[234] + vX_[500] * vX_[947]);
+ vX_[922] = vX_[962] * vX_[672] + vX_[940] * vX_[199] + vX_[958] * vX_[245] + vX_[922] * vX_[128];
+ vX_[940] = vX_[922] - (vX_[977] * vX_[810] + vX_[432] * vX_[935]) - (vX_[945] * vX_[348] + vX_[918] * vX_[934]) - (vX_[474] * vX_[498] + vX_[500] * vX_[936]) - (vX_[984] * vX_[516] + vX_[594] * vX_[919]);
+ vX_[506] = (vX_[918] - vX_[978] * vX_[506]) / vX_[573];
+ vX_[353] = (vX_[353] - (vX_[689] * vX_[506] + vX_[771] * vX_[978]) - vX_[979] * vX_[551]) / vX_[570];
+ vX_[504] = (vX_[504] - (vX_[687] * vX_[353] + vX_[236] * vX_[979]) - (vX_[480] * vX_[506] + vX_[888] * vX_[978]) - vX_[980] * vX_[503]) / vX_[572];
+ vX_[523] = (vX_[523] - (vX_[932] * vX_[353] + vX_[488] * vX_[979]) - (vX_[949] * vX_[506] + vX_[499] * vX_[978]) - (vX_[946] * vX_[504] + vX_[920] * vX_[980]) - vX_[985] * vX_[562]) / vX_[976];
+ vX_[922] = (vX_[922] - (vX_[913] * vX_[353] + vX_[226] * vX_[979]) - (vX_[933] * vX_[506] + vX_[501] * vX_[978]) - (vX_[722] * vX_[504] + vX_[615] * vX_[980]) - (vX_[948] * vX_[523] + vX_[218] * vX_[985]) - vX_[986] * vX_[960]) / vX_[973];
+ vX_[940] = (vX_[198] * vX_[878] + vX_[875] * vX_[796] + vX_[764] * vX_[247] + vX_[683] * vX_[805] - (vX_[977] * vX_[219] + vX_[432] * vX_[561]) - (vX_[945] * vX_[671] + vX_[918] * vX_[872]) - (vX_[474] * vX_[306] + vX_[500] * vX_[563]) - (vX_[984] * vX_[404] + vX_[594] * vX_[618]) - (vX_[955] * vX_[549] + vX_[940] * vX_[899]) - vX_[568] * (vX_[942] - (vX_[977] * vX_[353] + vX_[432] * vX_[979]) - (vX_[945] * vX_[506] + vX_[918] * vX_[978]) - (vX_[474] * vX_[504] + vX_[500] * vX_[980]) - (vX_[984] * vX_[523] + vX_[594] * vX_[985]) - (vX_[955] * vX_[922] + vX_[940] * vX_[986]))) / vX_[975];
+ jac[455] = - vX_[940];
+ vX_[922] = vX_[549] - (vX_[986] * vX_[940] + vX_[922] * vX_[568]);
+ jac[454] = - vX_[922];
+ vX_[523] = vX_[404] - (vX_[985] * vX_[940] + vX_[523] * vX_[568]) - (vX_[919] * vX_[922] + vX_[516] * vX_[358]);
+ jac[453] = - vX_[523];
+ vX_[504] = vX_[306] - (vX_[936] * vX_[922] + vX_[498] * vX_[358]) - (vX_[947] * vX_[523] + vX_[234] * vX_[912]) - (vX_[980] * vX_[940] + vX_[504] * vX_[568]);
+ jac[452] = - vX_[504];
+ vX_[353] = vX_[219] - (vX_[938] * vX_[523] + vX_[824] * vX_[912]) - (vX_[586] * vX_[504] + vX_[507] * vX_[452]) - (vX_[935] * vX_[922] + vX_[810] * vX_[358]) - (vX_[979] * vX_[940] + vX_[353] * vX_[568]);
+ jac[450] = vX_[574] * vX_[504] + vX_[237] * vX_[452] + vX_[688] * vX_[353] + vX_[225] * vX_[885] + vX_[937] * vX_[523] + vX_[959] * vX_[912] + vX_[934] * vX_[922] + vX_[348] * vX_[358] + vX_[978] * vX_[940] + vX_[506] * vX_[568] - vX_[671];
+ jac[451] = - vX_[353];
+ vX_[353] = -1 * jac[450];
+ vX_[504] = vX_[440] * jac[452] + vX_[360] * jac[451];
+ vX_[523] = vX_[360] * jac[452] + vX_[441] * jac[451];
+ vX_[922] = -1 * jac[453];
+ vX_[940] = 0.207 * jac[452] + vX_[922];
+ vX_[506] = vX_[610] * jac[452] + vX_[611] * jac[451] + vX_[438] * jac[450] + vX_[359] * jac[455] + vX_[612] * jac[454];
+ jac[456] = (0 - vX_[435] * vX_[353] - vX_[472] * vX_[504] - vX_[430] * vX_[523] - vX_[457] * vX_[940] - vX_[449] * (vX_[443] * jac[452] + vX_[442] * jac[451] + vX_[596] * jac[450] + vX_[440] * jac[455] + vX_[597] * jac[454]) - vX_[433] * vX_[506]) / vX_[435];
+ vX_[348] = -1 * vX_[504];
+ vX_[959] = vX_[353] + jac[456];
+ vX_[237] = vX_[361] * vX_[940] + vX_[625] * vX_[506] + vX_[592] * vX_[504];
+ vX_[506] = vX_[388] * vX_[940] + vX_[361] * vX_[506] + vX_[409] * vX_[504];
+ jac[457] = (0 - vX_[385] * vX_[348] - vX_[392] * (vX_[361] * vX_[959] + vX_[389] * vX_[523]) - vX_[373] * (vX_[388] * vX_[959] + vX_[361] * vX_[523]) - vX_[383] * vX_[237] - vX_[396] * vX_[506]) / vX_[385];
+ vX_[348] = vX_[348] + jac[457];
+ jac[458] = (0 - 0.1104774 * (vX_[362] * vX_[237] + vX_[636] * vX_[506] + vX_[637] * vX_[348]) - -0.0004405 * (vX_[364] * vX_[237] + vX_[362] * vX_[506] + vX_[367] * vX_[348]) - 0.026181 * vX_[348]) / 0.026181;
+ vX_[348] = vX_[318] * jac[452] + vX_[239] * jac[451];
+ vX_[506] = vX_[320] * jac[452] + vX_[318] * jac[451];
+ vX_[237] = 0.207 * jac[452] + jac[453];
+ vX_[959] = vX_[830] * jac[452] + vX_[831] * jac[451] + vX_[317] * jac[450] + vX_[832] * jac[455] + vX_[318] * jac[454];
+ jac[459] = (0 - vX_[314] * jac[450] - vX_[350] * vX_[348] - vX_[309] * vX_[506] - vX_[335] * vX_[237] - vX_[327] * (vX_[321] * jac[452] + vX_[319] * jac[451] + vX_[845] * jac[450] + vX_[318] * jac[455] + vX_[239] * jac[454]) - vX_[312] * vX_[959]) / vX_[314];
+ vX_[523] = jac[450] + jac[459];
+ vX_[940] = vX_[850] * vX_[237] + vX_[851] * vX_[959] + vX_[852] * vX_[348];
+ vX_[959] = vX_[267] * vX_[237] + vX_[240] * vX_[959] + vX_[289] * vX_[348];
+ jac[460] = (0 - vX_[264] * vX_[348] - vX_[271] * (vX_[287] * vX_[523] + vX_[268] * vX_[506]) - vX_[252] * (vX_[268] * vX_[523] + vX_[240] * vX_[506]) - vX_[262] * vX_[940] - vX_[275] * vX_[959]) / vX_[264];
+ vX_[348] = vX_[348] + jac[460];
+ jac[461] = (0 - 0.1104774 * (vX_[241] * vX_[940] + vX_[854] * vX_[959] + vX_[856] * vX_[348]) - -0.0004405 * (vX_[243] * vX_[940] + vX_[241] * vX_[959] + vX_[246] * vX_[348]) - 0.026181 * vX_[348]) / 0.026181;
+ vX_[894] = vX_[198] * jac[452] + vX_[875] * vX_[532] + vX_[128] * jac[451] + vX_[245] * vX_[530] + vX_[894];
+ vX_[258] = vX_[128] * jac[452] + vX_[245] * vX_[532] + vX_[199] * jac[451] + vX_[672] * vX_[530] + vX_[258];
+ vX_[922] = 0.207 * jac[452] + vX_[922];
+ vX_[893] = vX_[762] * jac[452] + vX_[682] * vX_[532] + vX_[763] * jac[451] + vX_[877] * vX_[530] + vX_[196] * jac[450] + vX_[291] * vX_[760] + vX_[764] * jac[455] + vX_[683] * vX_[951] + vX_[765] * jac[454] + vX_[281] * vX_[534] + vX_[893];
+ jac[462] = (vX_[895] - vX_[193] * vX_[353] - vX_[230] * vX_[894] - vX_[188] * vX_[258] - vX_[215] * vX_[922] - vX_[207] * (vX_[201] * jac[452] + vX_[606] * vX_[532] + vX_[200] * jac[451] + vX_[880] * vX_[530] + vX_[701] * jac[450] + vX_[887] * vX_[760] + vX_[198] * jac[455] + vX_[875] * vX_[951] + vX_[127] * jac[454] + vX_[656] * vX_[534] + vX_[304]) - vX_[191] * vX_[893]) / vX_[193];
+ vX_[895] = -1 * vX_[894];
+ vX_[353] = vX_[353] + jac[462];
+ vX_[322] = vX_[129] * vX_[922] + vX_[772] * vX_[893] + vX_[773] * vX_[894] + vX_[322];
+ vX_[893] = vX_[149] * vX_[922] + vX_[129] * vX_[893] + vX_[167] * vX_[894] + vX_[890];
+ jac[463] = (vX_[282] - vX_[146] * vX_[895] - 2.1e-05 * (vX_[129] * vX_[353] + vX_[150] * vX_[258] + vX_[331]) - -0.000102 * (vX_[149] * vX_[353] + vX_[129] * vX_[258] + vX_[283]) - vX_[144] * vX_[322] - vX_[154] * vX_[893]) / vX_[146];
+ vX_[895] = vX_[895] + jac[463];
+ jac[464] = (vX_[874] - 0.110125 * (vX_[132] * vX_[322] + vX_[782] * vX_[893] + vX_[783] * vX_[895] + vX_[285]) - 0.000881 * (vX_[130] * vX_[322] + vX_[132] * vX_[893] + vX_[131] * vX_[895] + vX_[302]) - 0.026181 * vX_[895]) / 0.026181;
+ vX_[895] = vX_[86] * jac[452] + vX_[24] * jac[451];
+ vX_[893] = vX_[88] * jac[452] + vX_[86] * jac[451];
+ vX_[322] = 0.207 * jac[452] + jac[453];
+ vX_[874] = vX_[649] * jac[452] + vX_[608] * jac[451] + vX_[85] * jac[450] + vX_[616] * jac[455] + vX_[86] * jac[454];
+ jac[465] = (0 - vX_[82] * jac[450] - vX_[118] * vX_[895] - vX_[77] * vX_[893] - vX_[103] * vX_[322] - vX_[95] * (vX_[89] * jac[452] + vX_[87] * jac[451] + vX_[703] * jac[450] + vX_[86] * jac[455] + vX_[24] * jac[454]) - vX_[80] * vX_[874]) / vX_[82];
+ vX_[302] = jac[450] + jac[465];
+ vX_[285] = vX_[708] * vX_[322] + vX_[709] * vX_[874] + vX_[710] * vX_[895];
+ vX_[874] = vX_[10] * vX_[322] + vX_[33] * vX_[874] + vX_[57] * vX_[895];
+ jac[466] = (0 - vX_[17] * vX_[895] - vX_[6] * (vX_[55] * vX_[302] + vX_[38] * vX_[893]) - vX_[23] * (vX_[38] * vX_[302] + vX_[33] * vX_[893]) - vX_[15] * vX_[285] - vX_[43] * vX_[874]) / vX_[17];
+ vX_[895] = vX_[895] + jac[466];
+ jac[467] = (0 - 0.1104774 * (vX_[20] * vX_[285] + vX_[712] * vX_[874] + vX_[714] * vX_[895]) - 0.0004405 * (vX_[37] * vX_[285] + vX_[20] * vX_[874] + vX_[34] * vX_[895]) - 0.026181 * vX_[895]) / 0.026181;
+ vX_[895] = -1 * sin(x_in[13]);
+ vX_[874] = cos(x_in[13]);
+ vX_[285] = vX_[895] * vX_[756] + vX_[874] * vX_[761];
+ vX_[302] = vX_[285] * vX_[808];
+ vX_[893] = -0.08 * vX_[874];
+ vX_[322] = vX_[874] * vX_[759] + vX_[895] * vX_[766] + vX_[893] * vX_[757];
+ vX_[353] = vX_[770] * vX_[322];
+ vX_[258] = - vX_[874];
+ vX_[282] = vX_[258] * vX_[756] + vX_[895] * vX_[761];
+ vX_[283] = vX_[769] * vX_[282] + vX_[285] * vX_[775];
+ vX_[331] = -0.35 * vX_[282];
+ vX_[922] = vX_[132] * vX_[285] + vX_[130] * vX_[282];
+ vX_[894] = vX_[779] * vX_[331] + vX_[922] * vX_[812];
+ vX_[890] = - vX_[874];
+ vX_[304] = -0.08 * vX_[895];
+ vX_[656] = vX_[895] * vX_[759] + vX_[890] * vX_[766] + vX_[304] * vX_[757];
+ vX_[887] = vX_[130] * vX_[656] + vX_[132] * vX_[322];
+ vX_[880] = vX_[780] * vX_[887];
+ vX_[606] = vX_[142] * vX_[285] + vX_[132] * vX_[282];
+ vX_[875] = vX_[779] * vX_[606] + vX_[922] * vX_[785];
+ vX_[281] = (- vX_[887]) * x_in[32];
+ vX_[683] = vX_[132] * vX_[656] + vX_[782] * vX_[322];
+ vX_[291] = vX_[683] * x_in[32];
+ vX_[331] = vX_[785] * vX_[331] + vX_[606] * vX_[812] - vX_[780] * vX_[683];
+ vX_[877] = 0.110125 * (vX_[880] - vX_[894]) + 0.025941 * vX_[875] - -0.000881 * vX_[331];
+ vX_[682] = 0 - vX_[877];
+ vX_[880] = -0.881 * (vX_[894] - vX_[880]) + 0.110125 * vX_[875] + 0.417781802643138 * vX_[281] + -0.00370574557885489 * vX_[291] + (0.110125 * vX_[682]) / 0.026181 - -0.000881 * (vX_[779] * vX_[922] + vX_[922] * vX_[779]);
+ vX_[331] = 0.881 * vX_[331] + -0.000881 * vX_[875] + -0.00370574557885489 * vX_[281] + 0.880970354035369 * vX_[291] + (0.000881 * vX_[682]) / 0.026181 - 0.110125 * (vX_[785] * vX_[606] + vX_[606] * vX_[785]);
+ vX_[875] = (- vX_[285]) * x_in[31];
+ vX_[894] = vX_[282] * x_in[31];
+ vX_[672] = (- vX_[322]) * x_in[31];
+ vX_[245] = vX_[656] * x_in[31];
+ vX_[348] = vX_[285] * vX_[770];
+ vX_[959] = vX_[282] * vX_[808] - vX_[770] * vX_[656];
+ vX_[940] = vX_[282] * vX_[770];
+ vX_[523] = vX_[775] * vX_[282] + vX_[282] * vX_[775];
+ vX_[506] = vX_[769] * vX_[285] + vX_[285] * vX_[769];
+ vX_[877] = 0.47422804 * (vX_[353] - vX_[302]) + 0.081641 * vX_[283] + 2.1e-05 * vX_[348] + (0.026181 * vX_[682]) / 0.026181 + vX_[877] + vX_[783] * vX_[880] + vX_[131] * vX_[331] - 0.0825825 * vX_[959] - -0.000102 * vX_[940] - -0.007418 * (vX_[523] - vX_[506]);
+ vX_[237] = 0 - vX_[877];
+ vX_[353] = -3.146 * (vX_[302] - vX_[353]) + 0.47422804 * vX_[283] + vX_[132] * vX_[880] + vX_[130] * vX_[331] + vX_[151] * vX_[875] + vX_[148] * vX_[894] + vX_[177] * vX_[672] + vX_[179] * vX_[245] + (vX_[144] * vX_[237]) / vX_[146] - 0.0825825 * vX_[506];
+ vX_[959] = 3.146 * vX_[959] + 0.0825825 * vX_[283] + vX_[782] * vX_[880] + vX_[132] * vX_[331] + vX_[157] * vX_[875] + vX_[156] * vX_[894] + vX_[179] * vX_[672] + vX_[178] * vX_[245] + (vX_[154] * vX_[237]) / vX_[146] - 0.47422804 * vX_[523];
+ vX_[331] = -1 * vX_[893];
+ vX_[880] = -0.08 * vX_[895];
+ vX_[302] = vX_[331] * vX_[178] - vX_[880] * vX_[179];
+ vX_[504] = vX_[331] * vX_[179] - vX_[880] * vX_[177];
+ vX_[181] = vX_[180] * vX_[331] + vX_[302] * vX_[168] - (vX_[181] * vX_[880] + vX_[504] * vX_[166]);
+ vX_[180] = vX_[156] * vX_[331] - vX_[148] * vX_[880];
+ vX_[225] = vX_[157] * vX_[331] - vX_[151] * vX_[880];
+ vX_[671] = - vX_[225];
+ vX_[810] = vX_[150] * vX_[180] + vX_[258] * vX_[227] + vX_[129] * vX_[671] + vX_[895] * vX_[229];
+ vX_[824] = - 4.027 * vX_[331];
+ vX_[145] = 0 - vX_[145] * vX_[331] - (vX_[169] * vX_[331] + vX_[824] * vX_[168]) - vX_[181];
+ vX_[331] = vX_[153] * vX_[880] + vX_[169] * vX_[880] + vX_[824] * vX_[166] - vX_[143] * vX_[331];
+ vX_[186] = vX_[149] * vX_[145] + vX_[874] * vX_[186] + vX_[129] * vX_[331] + vX_[895] * vX_[170];
+ vX_[169] = 4.027 * vX_[880];
+ vX_[880] = vX_[171] * vX_[880] + vX_[174] * vX_[880] + vX_[169] * vX_[166] - vX_[181];
+ vX_[331] = vX_[149] * vX_[331] + vX_[874] * vX_[170] + vX_[129] * vX_[880] + vX_[895] * vX_[183];
+ vX_[183] = vX_[187] * vX_[874] + vX_[186] * vX_[149] + vX_[184] * vX_[895] + vX_[331] * vX_[129];
+ vX_[170] = vX_[181] + vX_[183];
+ vX_[174] = (vX_[810] - vX_[496] * vX_[170]) / vX_[193];
+ vX_[171] = vX_[181] - (vX_[230] * vX_[174] + vX_[810] * vX_[496]);
+ vX_[331] = vX_[184] * vX_[258] + vX_[331] * vX_[150] + vX_[187] * vX_[895] + vX_[186] * vX_[129];
+ vX_[174] = vX_[228] * vX_[258] + -1 * 2. * vX_[225] * vX_[150] + vX_[546] * vX_[895] + -1 * 2. * vX_[180] * vX_[129] + vX_[129] * vX_[180] + vX_[895] * vX_[227] + vX_[149] * vX_[671] + vX_[874] * vX_[229] - (vX_[188] * vX_[174] + vX_[331] * vX_[496]);
+ vX_[671] = - vX_[169];
+ vX_[225] = vX_[129] * vX_[671] + vX_[895] * vX_[204] + vX_[150] * vX_[824] + vX_[258] * vX_[205];
+ vX_[180] = (vX_[225] - vX_[208] * vX_[170]) / vX_[193];
+ vX_[546] = -(vX_[230] * vX_[180] + vX_[810] * vX_[208]);
+ vX_[169] = -1 * (vX_[504] + vX_[169]);
+ vX_[302] = -1 * (vX_[302] + vX_[824]);
+ vX_[671] = vX_[149] * vX_[671] + vX_[874] * vX_[204] + vX_[129] * vX_[824] + vX_[895] * vX_[205];
+ vX_[824] = vX_[874] * vX_[156] + vX_[895] * vX_[157];
+ vX_[205] = vX_[874] * vX_[148] + vX_[895] * vX_[151];
+ vX_[204] = vX_[189] * vX_[895] + vX_[824] * vX_[129] + vX_[190] * vX_[258] + vX_[205] * vX_[150];
+ vX_[504] = (vX_[204] - vX_[194] * vX_[170]) / vX_[193];
+ vX_[228] = vX_[203] * vX_[258] + vX_[169] * vX_[150] + vX_[233] * vX_[895] + vX_[302] * vX_[129] + vX_[671] - (vX_[230] * vX_[504] + vX_[810] * vX_[194]);
+ vX_[229] = (- vX_[922]) * x_in[32];
+ vX_[683] = vX_[779] * vX_[683] + vX_[922] * vX_[784] - (vX_[785] * vX_[887] + vX_[606] * vX_[786]);
+ vX_[922] = vX_[922] * vX_[780];
+ vX_[887] = 0.026409 * vX_[229] - 0.110125 * vX_[683] - 0.025713 * vX_[922];
+ vX_[227] = vX_[606] * vX_[780];
+ vX_[606] = vX_[606] * x_in[32];
+ vX_[186] = -0.000227999999999999 * vX_[227] + -0.000881 * vX_[683] + 0.000468 * vX_[606];
+ vX_[606] = 0.110125 * vX_[922] + 0.881 * vX_[683] + -0.000881 * vX_[227] + -0.110125 * vX_[229] + -0.000881 * vX_[606];
+ vX_[656] = vX_[769] * vX_[656] + vX_[285] * vX_[774] - (vX_[775] * vX_[322] + vX_[282] * vX_[776]);
+ vX_[506] = -0.007418 * vX_[940] + -0.000102 * (0 - vX_[506]) + vX_[132] * vX_[887] + vX_[130] * vX_[186] + -0.35 * vX_[606] + vX_[173] * vX_[875] + vX_[165] * vX_[894] + vX_[151] * vX_[672] + vX_[157] * vX_[245] + (2.1e-05 * vX_[237]) / vX_[146] - 0.47422804 * vX_[656] - 0.084376 * vX_[348] - 2.1e-05 * vX_[283];
+ vX_[186] = 0.002735 * vX_[940] + 0.0825825 * vX_[656] + -0.000102 * vX_[283] + vX_[142] * vX_[887] + vX_[132] * vX_[186] + vX_[165] * vX_[875] + vX_[172] * vX_[894] + vX_[148] * vX_[672] + vX_[156] * vX_[245] + (-0.000102 * vX_[237]) / vX_[146] - -0.007418 * vX_[348] - 2.1e-05 * (0 - vX_[523]);
+ vX_[656] = 0.47422804 * vX_[348] + 3.146 * vX_[656] + 0.0825825 * vX_[940] + vX_[606] + vX_[143] * vX_[875] + vX_[153] * vX_[894];
+ vX_[606] = vX_[129] * vX_[506] + vX_[895] * vX_[792] + vX_[149] * vX_[186] + vX_[874] * vX_[778] + -0.08 * vX_[656];
+ vX_[940] = 0 - vX_[606];
+ vX_[877] = vX_[773] * vX_[353] + vX_[304] * vX_[809] + vX_[167] * vX_[959] + vX_[893] * vX_[819] + -1 * (vX_[877] + (vX_[146] * vX_[237]) / vX_[146]) + vX_[171] * vX_[798] + vX_[174] * vX_[799] + vX_[546] * vX_[801] + vX_[228] * vX_[803] + (vX_[230] * vX_[940] + vX_[810] * vX_[822] - vX_[694] * vX_[170]) / vX_[193];
+ vX_[183] = vX_[880] + vX_[145] + vX_[181] - vX_[183] - (vX_[188] * (vX_[331] - vX_[505] * vX_[170]) / vX_[193] + vX_[331] * vX_[505]);
+ vX_[671] = 0 - vX_[671] - (vX_[188] * vX_[180] + vX_[331] * vX_[208]);
+ vX_[880] = vX_[895] * vX_[148] + vX_[258] * vX_[151];
+ vX_[145] = vX_[895] * vX_[156] + vX_[258] * vX_[157];
+ vX_[181] = vX_[152] * vX_[258] + vX_[880] * vX_[150] + vX_[158] * vX_[895] + vX_[145] * vX_[129] - (vX_[188] * vX_[504] + vX_[331] * vX_[194]);
+ vX_[186] = vX_[150] * vX_[506] + vX_[258] * vX_[792] + vX_[129] * vX_[186] + vX_[895] * vX_[778] + vX_[174] * vX_[798] + vX_[183] * vX_[799] + vX_[671] * vX_[801] + vX_[181] * vX_[803] + (vX_[188] * vX_[940] + vX_[331] * vX_[822] - vX_[817] * vX_[170]) / vX_[193];
+ vX_[205] = vX_[189] * vX_[874] + vX_[824] * vX_[149] + vX_[190] * vX_[895] + vX_[205] * vX_[129];
+ vX_[824] = (vX_[205] - vX_[216] * vX_[170]) / vX_[193];
+ vX_[302] = vX_[203] * vX_[895] + vX_[169] * vX_[129] + vX_[233] * vX_[874] + vX_[302] * vX_[149] - vX_[225] - (vX_[230] * vX_[824] + vX_[810] * vX_[216]);
+ vX_[145] = vX_[152] * vX_[895] + vX_[880] * vX_[129] + vX_[158] * vX_[874] + vX_[145] * vX_[149] - (vX_[188] * vX_[824] + vX_[331] * vX_[216]);
+ vX_[880] = -(vX_[207] * vX_[824] + vX_[225] * vX_[216]);
+ vX_[211] = vX_[874] * vX_[179] + vX_[895] * vX_[211];
+ vX_[213] = vX_[874] * vX_[213] + vX_[895] * vX_[179];
+ vX_[158] = vX_[212] * vX_[258] + vX_[211] * vX_[150] + vX_[214] * vX_[895] + vX_[213] * vX_[129] - (vX_[191] * vX_[824] + vX_[204] * vX_[216]);
+ vX_[152] = vX_[129] * vX_[353] + vX_[895] * vX_[809] + vX_[149] * vX_[959] + vX_[874] * vX_[819] + vX_[302] * vX_[798] + vX_[145] * vX_[799] + vX_[880] * vX_[801] + vX_[158] * vX_[803] + (vX_[215] * vX_[940] + vX_[205] * vX_[822] - vX_[698] * vX_[170]) / vX_[193];
+ vX_[169] = -(vX_[207] * vX_[180] + vX_[225] * vX_[208]);
+ vX_[180] = -(vX_[191] * vX_[180] + vX_[204] * vX_[208]);
+ vX_[656] = -1 * vX_[656] + vX_[546] * vX_[798] + vX_[671] * vX_[799] + vX_[169] * vX_[801] + vX_[180] * vX_[803] + (vX_[207] * vX_[940] + vX_[225] * vX_[822] - vX_[823] * vX_[170]) / vX_[193];
+ vX_[213] = vX_[214] * vX_[874] + vX_[213] * vX_[149] + vX_[212] * vX_[895] + vX_[211] * vX_[129];
+ vX_[504] = 0 - vX_[213] - (vX_[191] * vX_[504] + vX_[204] * vX_[194]);
+ vX_[959] = vX_[772] * vX_[353] + vX_[890] * vX_[809] + vX_[129] * vX_[959] + vX_[895] * vX_[819] + vX_[228] * vX_[798] + vX_[181] * vX_[799] + vX_[180] * vX_[801] + vX_[504] * vX_[803] + (vX_[191] * vX_[940] + vX_[204] * vX_[822] - vX_[820] * vX_[170]) / vX_[193];
+ vX_[213] = vX_[213] - (vX_[215] * vX_[824] + vX_[205] * vX_[216]);
+ vX_[824] = vX_[222] * vX_[213] - vX_[202] * vX_[158];
+ vX_[353] = vX_[222] * vX_[158] - vX_[202] * vX_[504];
+ vX_[819] = vX_[197] * vX_[504] - vX_[222] * vX_[180];
+ vX_[809] = vX_[197] * vX_[180] - vX_[222] * vX_[169];
+ vX_[211] = vX_[819] * vX_[197] - vX_[809] * vX_[222];
+ vX_[171] = 2. * vX_[302] * vX_[222] + vX_[171] + vX_[824] * vX_[222] - 2. * vX_[228] * vX_[202] - vX_[353] * vX_[202] - vX_[211];
+ vX_[214] = vX_[202] * vX_[169] - vX_[197] * vX_[880];
+ vX_[212] = vX_[202] * vX_[880] - vX_[197] * vX_[213];
+ vX_[183] = 2. * vX_[671] * vX_[202] + vX_[183] + vX_[214] * vX_[202] - 2. * vX_[145] * vX_[197] - vX_[212] * vX_[197] - vX_[211];
+ vX_[233] = vX_[202] * vX_[180];
+ vX_[203] = vX_[197] * vX_[158];
+ vX_[190] = vX_[233] - vX_[203];
+ vX_[174] = vX_[546] * vX_[202] + vX_[174] + vX_[145] * vX_[222] + vX_[212] * vX_[222] - vX_[181] * vX_[202] - vX_[302] * vX_[197] - vX_[190] * vX_[202];
+ vX_[189] = vX_[128] * vX_[174];
+ vX_[506] = (vX_[199] * vX_[183] + vX_[189]) * vX_[199] + (vX_[199] * vX_[174] + vX_[128] * vX_[171]) * vX_[128];
+ vX_[174] = vX_[128] * vX_[183] + vX_[198] * vX_[174];
+ vX_[189] = vX_[189] + vX_[198] * vX_[171];
+ vX_[778] = vX_[174] * vX_[128] + vX_[189] * vX_[198];
+ vX_[183] = vX_[171] + vX_[183] + vX_[211] - vX_[506] - vX_[778];
+ vX_[606] = (vX_[701] * vX_[656] + vX_[196] * vX_[959] + -1 * (vX_[606] + (vX_[193] * vX_[940] + vX_[170] * vX_[822] - vX_[806] * vX_[170]) / vX_[193]) - vX_[872] * vX_[183]) / vX_[573];
+ vX_[171] = vX_[222] * vX_[880];
+ vX_[233] = vX_[171] - vX_[233];
+ vX_[792] = vX_[546] * vX_[222] + vX_[233] * vX_[222] - vX_[228] * vX_[197] - vX_[353] * vX_[197];
+ vX_[348] = vX_[181] * vX_[197] + vX_[190] * vX_[197] - vX_[671] * vX_[222] - vX_[214] * vX_[222];
+ vX_[887] = vX_[128] * vX_[792] + vX_[198] * vX_[348];
+ vX_[523] = (vX_[887] - vX_[688] * vX_[183]) / vX_[573];
+ vX_[506] = vX_[211] + vX_[506] - (vX_[689] * vX_[523] + vX_[887] * vX_[688]);
+ vX_[283] = (vX_[128] * vX_[877] + vX_[199] * vX_[186] + vX_[200] * vX_[656] + vX_[763] * vX_[959] - (vX_[689] * vX_[606] + vX_[887] * vX_[872]) - vX_[561] * vX_[506]) / vX_[570];
+ vX_[189] = vX_[174] * vX_[199] + vX_[189] * vX_[128];
+ vX_[348] = 0 - vX_[128] * vX_[348] - vX_[199] * vX_[792];
+ vX_[792] = vX_[189] - (vX_[480] * vX_[523] + vX_[348] * vX_[688]);
+ vX_[174] = (vX_[348] - vX_[574] * vX_[183]) / vX_[573];
+ vX_[189] = (vX_[189] - (vX_[689] * vX_[174] + vX_[887] * vX_[574]) - vX_[586] * vX_[506]) / vX_[570];
+ vX_[778] = vX_[211] + vX_[778] - (vX_[687] * vX_[189] + vX_[792] * vX_[586]) - (vX_[480] * vX_[174] + vX_[348] * vX_[574]);
+ vX_[186] = (vX_[198] * vX_[877] + vX_[128] * vX_[186] + 0.207 * vX_[152] + vX_[201] * vX_[656] + vX_[762] * vX_[959] - (vX_[687] * vX_[283] + vX_[792] * vX_[561]) - (vX_[480] * vX_[606] + vX_[348] * vX_[872]) - vX_[563] * vX_[778]) / vX_[572];
+ vX_[214] = vX_[214] + vX_[671];
+ vX_[171] = vX_[203] - vX_[171];
+ vX_[233] = vX_[546] + vX_[233] - vX_[171];
+ vX_[546] = vX_[199] * vX_[214] + vX_[128] * vX_[233];
+ vX_[190] = vX_[181] + vX_[190] - vX_[171];
+ vX_[353] = vX_[353] + vX_[228];
+ vX_[228] = vX_[199] * vX_[190] + vX_[128] * vX_[353];
+ vX_[181] = vX_[546] * vX_[128] + vX_[228] * vX_[199] + vX_[171];
+ vX_[824] = vX_[824] + vX_[302];
+ vX_[809] = -1 * (vX_[809] + vX_[824]);
+ vX_[212] = vX_[212] + vX_[145];
+ vX_[819] = -1 * (vX_[819] + vX_[212]);
+ vX_[824] = - vX_[824];
+ vX_[145] = vX_[128] * vX_[824] + vX_[198] * vX_[212];
+ vX_[302] = vX_[809] * vX_[128] + vX_[819] * vX_[199] - vX_[145];
+ vX_[203] = vX_[181] - (vX_[933] * vX_[523] + vX_[302] * vX_[688]);
+ vX_[353] = vX_[128] * vX_[190] + vX_[198] * vX_[353];
+ vX_[233] = vX_[128] * vX_[214] + vX_[198] * vX_[233];
+ vX_[214] = vX_[353] * vX_[199] + vX_[233] * vX_[128];
+ vX_[190] = vX_[214] - (vX_[913] * vX_[189] + vX_[203] * vX_[586]) - (vX_[933] * vX_[174] + vX_[302] * vX_[574]);
+ vX_[671] = vX_[145] - (vX_[949] * vX_[523] + vX_[171] * vX_[688]);
+ vX_[824] = vX_[199] * vX_[824] + vX_[128] * vX_[212];
+ vX_[212] = - vX_[824];
+ vX_[877] = vX_[212] - (vX_[932] * vX_[189] + vX_[671] * vX_[586]) - (vX_[949] * vX_[174] + vX_[171] * vX_[574]);
+ vX_[169] = vX_[169] - vX_[213];
+ vX_[504] = vX_[504] - vX_[213];
+ vX_[211] = vX_[128] * vX_[180];
+ vX_[282] = (vX_[199] * vX_[504] + vX_[211]) * vX_[199] + (vX_[199] * vX_[180] + vX_[128] * vX_[169]) * vX_[128];
+ vX_[180] = vX_[128] * vX_[504] + vX_[198] * vX_[180];
+ vX_[211] = vX_[211] + vX_[198] * vX_[169];
+ vX_[322] = vX_[180] * vX_[128] + vX_[211] * vX_[198];
+ vX_[285] = (vX_[171] - vX_[937] * vX_[183]) / vX_[573];
+ vX_[145] = (vX_[145] - (vX_[689] * vX_[285] + vX_[887] * vX_[937]) - vX_[938] * vX_[506]) / vX_[570];
+ vX_[212] = (vX_[212] - (vX_[687] * vX_[145] + vX_[792] * vX_[938]) - (vX_[480] * vX_[285] + vX_[348] * vX_[937]) - vX_[947] * vX_[778]) / vX_[572];
+ vX_[504] = vX_[169] + vX_[504] + vX_[213] - vX_[282] - vX_[322] - (vX_[932] * vX_[145] + vX_[671] * vX_[938]) - (vX_[949] * vX_[285] + vX_[171] * vX_[937]) - (vX_[946] * vX_[212] + vX_[877] * vX_[947]);
+ vX_[152] = (-1 * vX_[152] - (vX_[932] * vX_[283] + vX_[671] * vX_[561]) - (vX_[949] * vX_[606] + vX_[171] * vX_[872]) - (vX_[946] * vX_[186] + vX_[877] * vX_[563]) - vX_[618] * vX_[504]) / vX_[976];
+ vX_[880] = - vX_[880];
+ vX_[169] = vX_[128] * vX_[880] + vX_[198] * vX_[158];
+ vX_[227] = vX_[169] - (vX_[913] * vX_[145] + vX_[203] * vX_[938]) - (vX_[933] * vX_[285] + vX_[302] * vX_[937]) - (vX_[722] * vX_[212] + vX_[190] * vX_[947]);
+ vX_[922] = (vX_[302] - vX_[934] * vX_[183]) / vX_[573];
+ vX_[181] = (vX_[181] - (vX_[689] * vX_[922] + vX_[887] * vX_[934]) - vX_[935] * vX_[506]) / vX_[570];
+ vX_[214] = (vX_[214] - (vX_[687] * vX_[181] + vX_[792] * vX_[935]) - (vX_[480] * vX_[922] + vX_[348] * vX_[934]) - vX_[936] * vX_[778]) / vX_[572];
+ vX_[169] = (vX_[169] - (vX_[932] * vX_[181] + vX_[671] * vX_[935]) - (vX_[949] * vX_[922] + vX_[171] * vX_[934]) - (vX_[946] * vX_[214] + vX_[877] * vX_[936]) - vX_[919] * vX_[504]) / vX_[976];
+ vX_[282] = vX_[213] + vX_[282] - (vX_[913] * vX_[181] + vX_[203] * vX_[935]) - (vX_[933] * vX_[922] + vX_[302] * vX_[934]) - (vX_[722] * vX_[214] + vX_[190] * vX_[936]) - (vX_[948] * vX_[169] + vX_[227] * vX_[919]);
+ vX_[683] = (vX_[127] * vX_[656] + vX_[765] * vX_[959] - (vX_[913] * vX_[283] + vX_[203] * vX_[561]) - (vX_[933] * vX_[606] + vX_[302] * vX_[872]) - (vX_[722] * vX_[186] + vX_[190] * vX_[563]) - (vX_[948] * vX_[152] + vX_[227] * vX_[618]) - vX_[899] * vX_[282]) / vX_[973];
+ vX_[228] = vX_[228] * vX_[128] + vX_[546] * vX_[198];
+ vX_[824] = vX_[809] * vX_[198] + vX_[819] * vX_[128] + vX_[824];
+ vX_[819] = vX_[228] - (vX_[945] * vX_[523] + vX_[824] * vX_[688]);
+ vX_[233] = vX_[233] * vX_[198] + vX_[353] * vX_[128] + vX_[171];
+ vX_[353] = vX_[233] - (vX_[977] * vX_[189] + vX_[819] * vX_[586]) - (vX_[945] * vX_[174] + vX_[824] * vX_[574]);
+ vX_[880] = 0 - vX_[128] * vX_[158] - vX_[199] * vX_[880];
+ vX_[158] = vX_[880] - (vX_[977] * vX_[145] + vX_[819] * vX_[938]) - (vX_[945] * vX_[285] + vX_[824] * vX_[937]) - (vX_[474] * vX_[212] + vX_[353] * vX_[947]);
+ vX_[211] = vX_[180] * vX_[199] + vX_[211] * vX_[128];
+ vX_[180] = vX_[211] - (vX_[977] * vX_[181] + vX_[819] * vX_[935]) - (vX_[945] * vX_[922] + vX_[824] * vX_[934]) - (vX_[474] * vX_[214] + vX_[353] * vX_[936]) - (vX_[984] * vX_[169] + vX_[158] * vX_[919]);
+ vX_[183] = (vX_[824] - vX_[978] * vX_[183]) / vX_[573];
+ vX_[228] = (vX_[228] - (vX_[689] * vX_[183] + vX_[887] * vX_[978]) - vX_[979] * vX_[506]) / vX_[570];
+ vX_[233] = (vX_[233] - (vX_[687] * vX_[228] + vX_[792] * vX_[979]) - (vX_[480] * vX_[183] + vX_[348] * vX_[978]) - vX_[980] * vX_[778]) / vX_[572];
+ vX_[880] = (vX_[880] - (vX_[932] * vX_[228] + vX_[671] * vX_[979]) - (vX_[949] * vX_[183] + vX_[171] * vX_[978]) - (vX_[946] * vX_[233] + vX_[877] * vX_[980]) - vX_[985] * vX_[504]) / vX_[976];
+ vX_[211] = (vX_[211] - (vX_[913] * vX_[228] + vX_[203] * vX_[979]) - (vX_[933] * vX_[183] + vX_[302] * vX_[978]) - (vX_[722] * vX_[233] + vX_[190] * vX_[980]) - (vX_[948] * vX_[880] + vX_[227] * vX_[985]) - vX_[986] * vX_[282]) / vX_[973];
+ vX_[180] = (vX_[198] * vX_[656] + vX_[764] * vX_[959] - (vX_[977] * vX_[283] + vX_[819] * vX_[561]) - (vX_[945] * vX_[606] + vX_[824] * vX_[872]) - (vX_[474] * vX_[186] + vX_[353] * vX_[563]) - (vX_[984] * vX_[152] + vX_[158] * vX_[618]) - (vX_[955] * vX_[683] + vX_[180] * vX_[899]) - vX_[568] * (vX_[213] + vX_[322] - (vX_[977] * vX_[228] + vX_[819] * vX_[979]) - (vX_[945] * vX_[183] + vX_[824] * vX_[978]) - (vX_[474] * vX_[233] + vX_[353] * vX_[980]) - (vX_[984] * vX_[880] + vX_[158] * vX_[985]) - (vX_[955] * vX_[211] + vX_[180] * vX_[986]))) / vX_[975];
+ jac[491] = - vX_[180];
+ vX_[211] = vX_[683] - (vX_[986] * vX_[180] + vX_[211] * vX_[568]);
+ jac[490] = - vX_[211];
+ vX_[880] = vX_[152] - (vX_[985] * vX_[180] + vX_[880] * vX_[568]) - (vX_[919] * vX_[211] + vX_[169] * vX_[358]);
+ jac[489] = - vX_[880];
+ vX_[233] = vX_[186] - (vX_[936] * vX_[211] + vX_[214] * vX_[358]) - (vX_[947] * vX_[880] + vX_[212] * vX_[912]) - (vX_[980] * vX_[180] + vX_[233] * vX_[568]);
+ jac[488] = - vX_[233];
+ vX_[228] = vX_[283] - (vX_[938] * vX_[880] + vX_[145] * vX_[912]) - (vX_[586] * vX_[233] + vX_[189] * vX_[452]) - (vX_[935] * vX_[211] + vX_[181] * vX_[358]) - (vX_[979] * vX_[180] + vX_[228] * vX_[568]);
+ jac[486] = vX_[574] * vX_[233] + vX_[174] * vX_[452] + vX_[688] * vX_[228] + vX_[523] * vX_[885] + vX_[937] * vX_[880] + vX_[285] * vX_[912] + vX_[934] * vX_[211] + vX_[922] * vX_[358] + vX_[978] * vX_[180] + vX_[183] * vX_[568] - vX_[606];
+ jac[487] = - vX_[228];
+ vX_[228] = -1 * jac[486];
+ vX_[233] = vX_[440] * jac[488] + vX_[360] * jac[487];
+ vX_[880] = vX_[360] * jac[488] + vX_[441] * jac[487];
+ vX_[211] = -1 * jac[489];
+ vX_[180] = 0.207 * jac[488] + vX_[211];
+ vX_[183] = vX_[610] * jac[488] + vX_[611] * jac[487] + vX_[438] * jac[486] + vX_[359] * jac[491] + vX_[612] * jac[490];
+ jac[492] = (0 - vX_[435] * vX_[228] - vX_[472] * vX_[233] - vX_[430] * vX_[880] - vX_[457] * vX_[180] - vX_[449] * (vX_[443] * jac[488] + vX_[442] * jac[487] + vX_[596] * jac[486] + vX_[440] * jac[491] + vX_[597] * jac[490]) - vX_[433] * vX_[183]) / vX_[435];
+ vX_[922] = -1 * vX_[233];
+ vX_[285] = vX_[228] + jac[492];
+ vX_[174] = vX_[361] * vX_[180] + vX_[625] * vX_[183] + vX_[592] * vX_[233];
+ vX_[183] = vX_[388] * vX_[180] + vX_[361] * vX_[183] + vX_[409] * vX_[233];
+ jac[493] = (0 - vX_[385] * vX_[922] - vX_[392] * (vX_[361] * vX_[285] + vX_[389] * vX_[880]) - vX_[373] * (vX_[388] * vX_[285] + vX_[361] * vX_[880]) - vX_[383] * vX_[174] - vX_[396] * vX_[183]) / vX_[385];
+ vX_[922] = vX_[922] + jac[493];
+ jac[494] = (0 - 0.1104774 * (vX_[362] * vX_[174] + vX_[636] * vX_[183] + vX_[637] * vX_[922]) - -0.0004405 * (vX_[364] * vX_[174] + vX_[362] * vX_[183] + vX_[367] * vX_[922]) - 0.026181 * vX_[922]) / 0.026181;
+ vX_[922] = vX_[318] * jac[488] + vX_[239] * jac[487];
+ vX_[183] = vX_[320] * jac[488] + vX_[318] * jac[487];
+ vX_[174] = 0.207 * jac[488] + jac[489];
+ vX_[285] = vX_[830] * jac[488] + vX_[831] * jac[487] + vX_[317] * jac[486] + vX_[832] * jac[491] + vX_[318] * jac[490];
+ jac[495] = (0 - vX_[314] * jac[486] - vX_[350] * vX_[922] - vX_[309] * vX_[183] - vX_[335] * vX_[174] - vX_[327] * (vX_[321] * jac[488] + vX_[319] * jac[487] + vX_[845] * jac[486] + vX_[318] * jac[491] + vX_[239] * jac[490]) - vX_[312] * vX_[285]) / vX_[314];
+ vX_[880] = jac[486] + jac[495];
+ vX_[180] = vX_[850] * vX_[174] + vX_[851] * vX_[285] + vX_[852] * vX_[922];
+ vX_[285] = vX_[267] * vX_[174] + vX_[240] * vX_[285] + vX_[289] * vX_[922];
+ jac[496] = (0 - vX_[264] * vX_[922] - vX_[271] * (vX_[287] * vX_[880] + vX_[268] * vX_[183]) - vX_[252] * (vX_[268] * vX_[880] + vX_[240] * vX_[183]) - vX_[262] * vX_[180] - vX_[275] * vX_[285]) / vX_[264];
+ vX_[922] = vX_[922] + jac[496];
+ jac[497] = (0 - 0.1104774 * (vX_[241] * vX_[180] + vX_[854] * vX_[285] + vX_[856] * vX_[922]) - -0.0004405 * (vX_[243] * vX_[180] + vX_[241] * vX_[285] + vX_[246] * vX_[922]) - 0.026181 * vX_[922]) / 0.026181;
+ vX_[922] = vX_[198] * jac[488] + vX_[128] * jac[487];
+ vX_[285] = vX_[198] * vX_[532] + vX_[128] * vX_[530] + vX_[798];
+ vX_[180] = vX_[128] * jac[488] + vX_[199] * jac[487];
+ vX_[880] = vX_[128] * vX_[532] + vX_[199] * vX_[530] + vX_[799];
+ vX_[211] = 0.207 * jac[488] + vX_[211];
+ vX_[903] = 0.207 * vX_[532] + vX_[903];
+ vX_[183] = vX_[201] * vX_[532] + vX_[200] * vX_[530] + vX_[701] * vX_[760] + vX_[198] * vX_[951] + vX_[127] * vX_[534] + vX_[801];
+ vX_[174] = vX_[762] * jac[488] + vX_[763] * jac[487] + vX_[196] * jac[486] + vX_[764] * jac[491] + vX_[765] * jac[490];
+ vX_[233] = vX_[762] * vX_[532] + vX_[763] * vX_[530] + vX_[196] * vX_[760] + vX_[764] * vX_[951] + vX_[765] * vX_[534] + vX_[803];
+ vX_[523] = (vX_[822] - vX_[193] * vX_[475] - vX_[230] * vX_[285] - vX_[188] * vX_[880] - vX_[215] * vX_[903] - vX_[207] * vX_[183] - vX_[191] * vX_[233]) / vX_[193];
+ jac[498] = (vX_[940] - (vX_[193] * vX_[228] + vX_[170] * vX_[475]) - (vX_[230] * vX_[922] + vX_[810] * vX_[285]) - (vX_[188] * vX_[180] + vX_[331] * vX_[880]) - (vX_[215] * vX_[211] + vX_[205] * vX_[903]) - (vX_[207] * (vX_[201] * jac[488] + vX_[200] * jac[487] + vX_[701] * jac[486] + vX_[198] * jac[491] + vX_[127] * jac[490]) + vX_[225] * vX_[183]) - (vX_[191] * vX_[174] + vX_[204] * vX_[233]) - vX_[523] * vX_[170]) / vX_[193];
+ vX_[205] = -1 * vX_[922];
+ vX_[228] = vX_[228] + jac[498];
+ vX_[940] = vX_[475] + vX_[523];
+ vX_[672] = vX_[129] * vX_[211] + vX_[895] * vX_[903] + vX_[772] * vX_[174] + vX_[890] * vX_[233] + vX_[773] * vX_[922] + vX_[304] * vX_[285] + vX_[672];
+ vX_[174] = vX_[149] * vX_[211] + vX_[874] * vX_[903] + vX_[129] * vX_[174] + vX_[895] * vX_[233] + vX_[167] * vX_[922] + vX_[893] * vX_[285] + vX_[245];
+ jac[499] = (vX_[237] - vX_[146] * vX_[205] - 2.1e-05 * (vX_[129] * vX_[228] + vX_[895] * vX_[940] + vX_[150] * vX_[180] + vX_[258] * vX_[880] + vX_[875]) - -0.000102 * (vX_[149] * vX_[228] + vX_[874] * vX_[940] + vX_[129] * vX_[180] + vX_[895] * vX_[880] + vX_[894]) - vX_[144] * vX_[672] - vX_[154] * vX_[174]) / vX_[146];
+ vX_[205] = vX_[205] + jac[499];
+ jac[500] = (vX_[682] - 0.110125 * (vX_[132] * vX_[672] + vX_[782] * vX_[174] + vX_[783] * vX_[205] + vX_[281]) - 0.000881 * (vX_[130] * vX_[672] + vX_[132] * vX_[174] + vX_[131] * vX_[205] + vX_[291]) - 0.026181 * vX_[205]) / 0.026181;
+ vX_[205] = vX_[86] * jac[488] + vX_[24] * jac[487];
+ vX_[174] = vX_[88] * jac[488] + vX_[86] * jac[487];
+ vX_[672] = 0.207 * jac[488] + jac[489];
+ vX_[682] = vX_[649] * jac[488] + vX_[608] * jac[487] + vX_[85] * jac[486] + vX_[616] * jac[491] + vX_[86] * jac[490];
+ jac[501] = (0 - vX_[82] * jac[486] - vX_[118] * vX_[205] - vX_[77] * vX_[174] - vX_[103] * vX_[672] - vX_[95] * (vX_[89] * jac[488] + vX_[87] * jac[487] + vX_[703] * jac[486] + vX_[86] * jac[491] + vX_[24] * jac[490]) - vX_[80] * vX_[682]) / vX_[82];
+ vX_[291] = jac[486] + jac[501];
+ vX_[281] = vX_[708] * vX_[672] + vX_[709] * vX_[682] + vX_[710] * vX_[205];
+ vX_[682] = vX_[10] * vX_[672] + vX_[33] * vX_[682] + vX_[57] * vX_[205];
+ jac[502] = (0 - vX_[17] * vX_[205] - vX_[6] * (vX_[55] * vX_[291] + vX_[38] * vX_[174]) - vX_[23] * (vX_[38] * vX_[291] + vX_[33] * vX_[174]) - vX_[15] * vX_[281] - vX_[43] * vX_[682]) / vX_[17];
+ vX_[205] = vX_[205] + jac[502];
+ jac[503] = (0 - 0.1104774 * (vX_[20] * vX_[281] + vX_[712] * vX_[682] + vX_[714] * vX_[205]) - 0.0004405 * (vX_[37] * vX_[281] + vX_[20] * vX_[682] + vX_[34] * vX_[205]) - 0.026181 * vX_[205]) / 0.026181;
+ vX_[205] = -1 * sin(x_in[14]);
+ vX_[682] = cos(x_in[14]);
+ vX_[281] = vX_[205] * vX_[769] + vX_[682] * vX_[775];
+ vX_[291] = vX_[281] * vX_[812];
+ vX_[174] = 0.35 * vX_[682];
+ vX_[672] = vX_[682] * vX_[774] + vX_[205] * vX_[776] + vX_[174] * vX_[770];
+ vX_[228] = vX_[780] * vX_[672];
+ vX_[180] = - vX_[682];
+ vX_[237] = vX_[180] * vX_[769] + vX_[205] * vX_[775];
+ vX_[894] = vX_[779] * vX_[237] + vX_[281] * vX_[785];
+ vX_[875] = (- vX_[672]) * x_in[32];
+ vX_[258] = - vX_[682];
+ vX_[874] = 0.35 * vX_[205];
+ vX_[895] = vX_[205] * vX_[774] + vX_[258] * vX_[776] + vX_[874] * vX_[770];
+ vX_[211] = vX_[895] * x_in[32];
+ vX_[922] = vX_[237] * vX_[812] - vX_[780] * vX_[895];
+ vX_[245] = 0.110125 * (vX_[228] - vX_[291]) + 0.025941 * vX_[894] - -0.000881 * vX_[922];
+ vX_[893] = 0 - vX_[245];
+ vX_[228] = -0.881 * (vX_[291] - vX_[228]) + 0.110125 * vX_[894] + 0.417781802643138 * vX_[875] + -0.00370574557885489 * vX_[211] + (0.110125 * vX_[893]) / 0.026181 - -0.000881 * (vX_[779] * vX_[281] + vX_[281] * vX_[779]);
+ vX_[922] = 0.881 * vX_[922] + -0.000881 * vX_[894] + -0.00370574557885489 * vX_[875] + 0.880970354035369 * vX_[211] + (0.000881 * vX_[893]) / 0.026181 - 0.110125 * (vX_[785] * vX_[237] + vX_[237] * vX_[785]);
+ vX_[894] = -0.35 * vX_[205];
+ vX_[291] = -0.00370574557885489 * vX_[174] - 0.417781802643138 * vX_[894];
+ vX_[304] = 0.881 * vX_[894];
+ vX_[890] = vX_[291] + vX_[304];
+ vX_[204] = 0.880970354035369 * vX_[174] - -0.00370574557885489 * vX_[894];
+ vX_[225] = - 0.881 * vX_[174];
+ vX_[331] = vX_[204] + vX_[225];
+ vX_[170] = - vX_[304];
+ vX_[810] = vX_[132] * vX_[170] + vX_[205] * vX_[136] + vX_[142] * vX_[225] + vX_[180] * vX_[140];
+ vX_[606] = vX_[137] * vX_[205] + vX_[890] * vX_[132] + vX_[141] * vX_[682] + vX_[331] * vX_[130] + vX_[810];
+ vX_[204] = vX_[138] * vX_[174] + vX_[204] * vX_[131] - (vX_[134] * vX_[894] + vX_[291] * vX_[133]);
+ vX_[291] = (vX_[606] - vX_[147] * vX_[204]) / vX_[146];
+ vX_[138] = - 2.1e-05 * vX_[291];
+ vX_[134] = - -0.000102 * vX_[291];
+ vX_[181] = -2.96459646308422e-05 * vX_[682] + -0.00370574557885489 * vX_[205];
+ vX_[145] = -0.00370574557885489 * vX_[682] + -0.463218197356862 * vX_[205];
+ vX_[189] = vX_[175] * vX_[682] + vX_[181] * vX_[130] + vX_[176] * vX_[205] + vX_[145] * vX_[132];
+ vX_[283] = vX_[189] - (vX_[144] * vX_[291] + vX_[606] * vX_[147]);
+ vX_[170] = vX_[130] * vX_[170] + vX_[682] * vX_[136] + vX_[132] * vX_[225] + vX_[205] * vX_[140];
+ vX_[331] = vX_[137] * vX_[180] + vX_[890] * vX_[142] + vX_[141] * vX_[205] + vX_[331] * vX_[132] - vX_[170];
+ vX_[145] = vX_[176] * vX_[180] + vX_[145] * vX_[142] + vX_[175] * vX_[205] + vX_[181] * vX_[132] - (vX_[154] * vX_[291] + vX_[331] * vX_[147]);
+ vX_[245] = (0.026181 * vX_[893]) / 0.026181 + vX_[245] + vX_[783] * vX_[228] + vX_[874] * vX_[813] + vX_[131] * vX_[922] + vX_[174] * vX_[821];
+ vX_[181] = 0 - vX_[245];
+ vX_[825] = vX_[132] * vX_[228] + vX_[205] * vX_[813] + vX_[130] * vX_[922] + vX_[682] * vX_[821] + vX_[138] * vX_[794] + vX_[134] * vX_[795] + vX_[283] * vX_[787] + vX_[145] * vX_[781] + (vX_[144] * vX_[181] + vX_[606] * vX_[816] - vX_[825] * vX_[204]) / vX_[146];
+ vX_[291] = (vX_[331] - vX_[155] * vX_[204]) / vX_[146];
+ vX_[176] = - 2.1e-05 * vX_[291];
+ vX_[175] = - -0.000102 * vX_[291];
+ vX_[291] = 0 - vX_[189] - (vX_[154] * vX_[291] + vX_[331] * vX_[155]);
+ vX_[922] = vX_[782] * vX_[228] + vX_[258] * vX_[813] + vX_[132] * vX_[922] + vX_[205] * vX_[821] + vX_[176] * vX_[794] + vX_[175] * vX_[795] + vX_[145] * vX_[787] + vX_[291] * vX_[781] + (vX_[154] * vX_[181] + vX_[331] * vX_[816] - vX_[807] * vX_[204]) / vX_[146];
+ vX_[228] = vX_[168] * vX_[291] - vX_[166] * vX_[145];
+ vX_[807] = vX_[168] * vX_[145] - vX_[166] * vX_[283];
+ vX_[821] = vX_[228] * vX_[168] - vX_[807] * vX_[166];
+ vX_[813] = vX_[175] * vX_[168] - vX_[134] * vX_[166];
+ vX_[189] = vX_[176] * vX_[168] - vX_[138] * vX_[166];
+ vX_[155] = - vX_[189];
+ vX_[147] = vX_[150] * vX_[813] + vX_[129] * vX_[155];
+ vX_[304] = -0.22025 * vX_[894] + vX_[135] * vX_[894] + vX_[304] * vX_[133] - vX_[204];
+ vX_[135] = 0 - -0.001762 * vX_[174] - (vX_[139] * vX_[174] + vX_[225] * vX_[131]) - vX_[204];
+ vX_[225] = -0.000881 * vX_[894] + vX_[139] * vX_[894] + vX_[225] * vX_[133] - -0.110125 * vX_[174];
+ vX_[162] = vX_[130] * vX_[135] + vX_[682] * vX_[162] + vX_[132] * vX_[225] + vX_[205] * vX_[159];
+ vX_[225] = vX_[130] * vX_[225] + vX_[682] * vX_[159] + vX_[132] * vX_[304] + vX_[205] * vX_[160];
+ vX_[160] = vX_[163] * vX_[682] + vX_[162] * vX_[130] + vX_[161] * vX_[205] + vX_[225] * vX_[132];
+ vX_[135] = vX_[304] + vX_[135] + vX_[204] - vX_[160] - -0.000102 * ((- vX_[185]) * vX_[204]) / vX_[146];
+ vX_[304] = vX_[135] - 2. * vX_[170] * vX_[168] - vX_[821];
+ vX_[164] = ((- vX_[164]) * vX_[204]) / vX_[146];
+ vX_[225] = vX_[161] * vX_[180] + vX_[225] * vX_[142] + vX_[163] * vX_[205] + vX_[162] * vX_[132] - -0.000102 * vX_[164];
+ vX_[810] = 0 - vX_[810];
+ vX_[168] = vX_[225] + vX_[170] * vX_[166] - vX_[810] * vX_[168];
+ vX_[162] = vX_[149] * vX_[304] + vX_[129] * vX_[168];
+ vX_[164] = vX_[204] + vX_[160] - 2.1e-05 * vX_[164];
+ vX_[166] = 2. * vX_[810] * vX_[166] + vX_[164] - vX_[821];
+ vX_[168] = vX_[149] * vX_[168] + vX_[129] * vX_[166];
+ vX_[160] = vX_[162] * vX_[149] + vX_[168] * vX_[129];
+ vX_[163] = vX_[821] + vX_[160];
+ vX_[161] = (vX_[147] - vX_[496] * vX_[163]) / vX_[193];
+ vX_[185] = vX_[821] - (vX_[230] * vX_[161] + vX_[147] * vX_[496]);
+ vX_[168] = vX_[168] * vX_[150] + vX_[162] * vX_[129];
+ vX_[161] = -1 * 2. * vX_[189] * vX_[150] + -1 * 2. * vX_[813] * vX_[129] + vX_[129] * vX_[813] + vX_[149] * vX_[155] - (vX_[188] * vX_[161] + vX_[168] * vX_[496]);
+ vX_[155] = - vX_[810];
+ vX_[189] = vX_[129] * vX_[155] + vX_[150] * vX_[170];
+ vX_[813] = (vX_[189] - vX_[208] * vX_[163]) / vX_[193];
+ vX_[496] = -(vX_[230] * vX_[813] + vX_[147] * vX_[208]);
+ vX_[807] = -1 * (vX_[807] + vX_[810]);
+ vX_[228] = -1 * (vX_[228] + vX_[170]);
+ vX_[155] = vX_[149] * vX_[155] + vX_[129] * vX_[170];
+ vX_[162] = vX_[149] * vX_[175] + vX_[129] * vX_[176];
+ vX_[159] = vX_[149] * vX_[134] + vX_[129] * vX_[138];
+ vX_[894] = vX_[162] * vX_[129] + vX_[159] * vX_[150];
+ vX_[139] = (vX_[894] - vX_[194] * vX_[163]) / vX_[193];
+ vX_[133] = vX_[807] * vX_[150] + vX_[228] * vX_[129] + vX_[155] - (vX_[230] * vX_[139] + vX_[147] * vX_[194]);
+ vX_[890] = (- vX_[281]) * x_in[32];
+ vX_[895] = vX_[779] * vX_[895] + vX_[281] * vX_[784] - (vX_[785] * vX_[672] + vX_[237] * vX_[786]);
+ vX_[281] = vX_[281] * vX_[780];
+ vX_[672] = 0.026409 * vX_[890] - 0.110125 * vX_[895] - 0.025713 * vX_[281];
+ vX_[141] = vX_[237] * vX_[780];
+ vX_[237] = vX_[237] * x_in[32];
+ vX_[137] = -0.000227999999999999 * vX_[141] + -0.000881 * vX_[895] + 0.000468 * vX_[237];
+ vX_[237] = 0.110125 * vX_[281] + 0.881 * vX_[895] + -0.000881 * vX_[141] + -0.110125 * vX_[890] + -0.000881 * vX_[237];
+ vX_[164] = vX_[132] * vX_[672] + vX_[205] * vX_[790] + vX_[130] * vX_[137] + vX_[682] * vX_[791] + -0.35 * vX_[237] + vX_[164] * vX_[794] + vX_[225] * vX_[795] + vX_[138] * vX_[787] + vX_[176] * vX_[781] + (2.1e-05 * vX_[181] - vX_[815] * vX_[204]) / vX_[146];
+ vX_[137] = vX_[142] * vX_[672] + vX_[180] * vX_[790] + vX_[132] * vX_[137] + vX_[205] * vX_[791] + vX_[225] * vX_[794] + vX_[135] * vX_[795] + vX_[134] * vX_[787] + vX_[175] * vX_[781] + (-0.000102 * vX_[181] - vX_[814] * vX_[204]) / vX_[146];
+ vX_[237] = vX_[237] + vX_[810] * vX_[794] + vX_[170] * vX_[795];
+ vX_[810] = vX_[129] * vX_[164] + vX_[149] * vX_[137] + -0.08 * vX_[237];
+ vX_[170] = 0 - vX_[810];
+ vX_[245] = vX_[773] * vX_[825] + vX_[167] * vX_[922] + -1 * (vX_[245] + (vX_[146] * vX_[181] + vX_[204] * vX_[816] - vX_[743] * vX_[204]) / vX_[146]) + vX_[185] * vX_[798] + vX_[161] * vX_[799] + vX_[496] * vX_[801] + vX_[133] * vX_[803] + (vX_[230] * vX_[170] + vX_[147] * vX_[822] - vX_[694] * vX_[163]) / vX_[193];
+ vX_[160] = vX_[166] + vX_[304] + vX_[821] - vX_[160] - (vX_[188] * (vX_[168] - vX_[505] * vX_[163]) / vX_[193] + vX_[168] * vX_[505]);
+ vX_[155] = 0 - vX_[155] - (vX_[188] * vX_[813] + vX_[168] * vX_[208]);
+ vX_[134] = vX_[129] * vX_[134] + vX_[150] * vX_[138];
+ vX_[175] = vX_[129] * vX_[175] + vX_[150] * vX_[176];
+ vX_[176] = vX_[134] * vX_[150] + vX_[175] * vX_[129] - (vX_[188] * vX_[139] + vX_[168] * vX_[194]);
+ vX_[137] = vX_[150] * vX_[164] + vX_[129] * vX_[137] + vX_[161] * vX_[798] + vX_[160] * vX_[799] + vX_[155] * vX_[801] + vX_[176] * vX_[803] + (vX_[188] * vX_[170] + vX_[168] * vX_[822] - vX_[817] * vX_[163]) / vX_[193];
+ vX_[159] = vX_[162] * vX_[149] + vX_[159] * vX_[129];
+ vX_[162] = (vX_[159] - vX_[216] * vX_[163]) / vX_[193];
+ vX_[228] = vX_[807] * vX_[129] + vX_[228] * vX_[149] - vX_[189] - (vX_[230] * vX_[162] + vX_[147] * vX_[216]);
+ vX_[175] = vX_[134] * vX_[129] + vX_[175] * vX_[149] - (vX_[188] * vX_[162] + vX_[168] * vX_[216]);
+ vX_[134] = -(vX_[207] * vX_[162] + vX_[189] * vX_[216]);
+ vX_[807] = vX_[149] * vX_[145] + vX_[129] * vX_[283];
+ vX_[145] = vX_[149] * vX_[291] + vX_[129] * vX_[145];
+ vX_[164] = vX_[807] * vX_[150] + vX_[145] * vX_[129] - (vX_[191] * vX_[162] + vX_[894] * vX_[216]);
+ vX_[698] = vX_[129] * vX_[825] + vX_[149] * vX_[922] + vX_[228] * vX_[798] + vX_[175] * vX_[799] + vX_[134] * vX_[801] + vX_[164] * vX_[803] + (vX_[215] * vX_[170] + vX_[159] * vX_[822] - vX_[698] * vX_[163]) / vX_[193];
+ vX_[817] = -(vX_[207] * vX_[813] + vX_[189] * vX_[208]);
+ vX_[813] = -(vX_[191] * vX_[813] + vX_[894] * vX_[208]);
+ vX_[237] = -1 * vX_[237] + vX_[496] * vX_[798] + vX_[155] * vX_[799] + vX_[817] * vX_[801] + vX_[813] * vX_[803] + (vX_[207] * vX_[170] + vX_[189] * vX_[822] - vX_[823] * vX_[163]) / vX_[193];
+ vX_[145] = vX_[145] * vX_[149] + vX_[807] * vX_[129];
+ vX_[139] = vX_[283] + vX_[291] - vX_[145] - (vX_[191] * vX_[139] + vX_[894] * vX_[194]);
+ vX_[922] = vX_[772] * vX_[825] + vX_[129] * vX_[922] + vX_[133] * vX_[798] + vX_[176] * vX_[799] + vX_[813] * vX_[801] + vX_[139] * vX_[803] + (vX_[191] * vX_[170] + vX_[894] * vX_[822] - vX_[820] * vX_[163]) / vX_[193];
+ vX_[145] = vX_[145] - (vX_[215] * vX_[162] + vX_[159] * vX_[216]);
+ vX_[162] = vX_[222] * vX_[145] - vX_[202] * vX_[164];
+ vX_[216] = vX_[222] * vX_[164] - vX_[202] * vX_[139];
+ vX_[825] = vX_[197] * vX_[139] - vX_[222] * vX_[813];
+ vX_[820] = vX_[197] * vX_[813] - vX_[222] * vX_[817];
+ vX_[803] = vX_[825] * vX_[197] - vX_[820] * vX_[222];
+ vX_[185] = 2. * vX_[228] * vX_[222] + vX_[185] + vX_[162] * vX_[222] - 2. * vX_[133] * vX_[202] - vX_[216] * vX_[202] - vX_[803];
+ vX_[801] = vX_[202] * vX_[817] - vX_[197] * vX_[134];
+ vX_[799] = vX_[202] * vX_[134] - vX_[197] * vX_[145];
+ vX_[160] = 2. * vX_[155] * vX_[202] + vX_[160] + vX_[801] * vX_[202] - 2. * vX_[175] * vX_[197] - vX_[799] * vX_[197] - vX_[803];
+ vX_[798] = vX_[202] * vX_[813];
+ vX_[291] = vX_[197] * vX_[164];
+ vX_[283] = vX_[798] - vX_[291];
+ vX_[161] = vX_[496] * vX_[202] + vX_[161] + vX_[175] * vX_[222] + vX_[799] * vX_[222] - vX_[176] * vX_[202] - vX_[228] * vX_[197] - vX_[283] * vX_[202];
+ vX_[202] = vX_[128] * vX_[161];
+ vX_[194] = (vX_[199] * vX_[160] + vX_[202]) * vX_[199] + (vX_[199] * vX_[161] + vX_[128] * vX_[185]) * vX_[128];
+ vX_[161] = vX_[128] * vX_[160] + vX_[198] * vX_[161];
+ vX_[202] = vX_[202] + vX_[198] * vX_[185];
+ vX_[807] = vX_[161] * vX_[128] + vX_[202] * vX_[198];
+ vX_[160] = vX_[185] + vX_[160] + vX_[803] - vX_[194] - vX_[807];
+ vX_[810] = (vX_[701] * vX_[237] + vX_[196] * vX_[922] + -1 * (vX_[810] + (vX_[193] * vX_[170] + vX_[163] * vX_[822] - vX_[806] * vX_[163]) / vX_[193]) - vX_[872] * vX_[160]) / vX_[573];
+ vX_[806] = vX_[222] * vX_[134];
+ vX_[798] = vX_[806] - vX_[798];
+ vX_[822] = vX_[496] * vX_[222] + vX_[798] * vX_[222] - vX_[133] * vX_[197] - vX_[216] * vX_[197];
+ vX_[222] = vX_[176] * vX_[197] + vX_[283] * vX_[197] - vX_[155] * vX_[222] - vX_[801] * vX_[222];
+ vX_[197] = vX_[128] * vX_[822] + vX_[198] * vX_[222];
+ vX_[185] = (vX_[197] - vX_[688] * vX_[160]) / vX_[573];
+ vX_[194] = vX_[803] + vX_[194] - (vX_[689] * vX_[185] + vX_[197] * vX_[688]);
+ vX_[823] = (vX_[128] * vX_[245] + vX_[199] * vX_[137] + vX_[200] * vX_[237] + vX_[763] * vX_[922] - (vX_[689] * vX_[810] + vX_[197] * vX_[872]) - vX_[561] * vX_[194]) / vX_[570];
+ vX_[202] = vX_[161] * vX_[199] + vX_[202] * vX_[128];
+ vX_[222] = 0 - vX_[128] * vX_[222] - vX_[199] * vX_[822];
+ vX_[822] = vX_[202] - (vX_[480] * vX_[185] + vX_[222] * vX_[688]);
+ vX_[161] = (vX_[222] - vX_[574] * vX_[160]) / vX_[573];
+ vX_[202] = (vX_[202] - (vX_[689] * vX_[161] + vX_[197] * vX_[574]) - vX_[586] * vX_[194]) / vX_[570];
+ vX_[807] = vX_[803] + vX_[807] - (vX_[687] * vX_[202] + vX_[822] * vX_[586]) - (vX_[480] * vX_[161] + vX_[222] * vX_[574]);
+ vX_[137] = (vX_[198] * vX_[245] + vX_[128] * vX_[137] + 0.207 * vX_[698] + vX_[201] * vX_[237] + vX_[762] * vX_[922] - (vX_[687] * vX_[823] + vX_[822] * vX_[561]) - (vX_[480] * vX_[810] + vX_[222] * vX_[872]) - vX_[563] * vX_[807]) / vX_[572];
+ vX_[801] = vX_[801] + vX_[155];
+ vX_[806] = vX_[291] - vX_[806];
+ vX_[798] = vX_[496] + vX_[798] - vX_[806];
+ vX_[496] = vX_[199] * vX_[801] + vX_[128] * vX_[798];
+ vX_[283] = vX_[176] + vX_[283] - vX_[806];
+ vX_[216] = vX_[216] + vX_[133];
+ vX_[133] = vX_[199] * vX_[283] + vX_[128] * vX_[216];
+ vX_[176] = vX_[496] * vX_[128] + vX_[133] * vX_[199] + vX_[806];
+ vX_[162] = vX_[162] + vX_[228];
+ vX_[820] = -1 * (vX_[820] + vX_[162]);
+ vX_[799] = vX_[799] + vX_[175];
+ vX_[825] = -1 * (vX_[825] + vX_[799]);
+ vX_[162] = - vX_[162];
+ vX_[175] = vX_[128] * vX_[162] + vX_[198] * vX_[799];
+ vX_[228] = vX_[820] * vX_[128] + vX_[825] * vX_[199] - vX_[175];
+ vX_[291] = vX_[176] - (vX_[933] * vX_[185] + vX_[228] * vX_[688]);
+ vX_[216] = vX_[128] * vX_[283] + vX_[198] * vX_[216];
+ vX_[798] = vX_[128] * vX_[801] + vX_[198] * vX_[798];
+ vX_[801] = vX_[216] * vX_[199] + vX_[798] * vX_[128];
+ vX_[283] = vX_[801] - (vX_[913] * vX_[202] + vX_[291] * vX_[586]) - (vX_[933] * vX_[161] + vX_[228] * vX_[574]);
+ vX_[155] = vX_[175] - (vX_[949] * vX_[185] + vX_[806] * vX_[688]);
+ vX_[162] = vX_[199] * vX_[162] + vX_[128] * vX_[799];
+ vX_[799] = - vX_[162];
+ vX_[245] = vX_[799] - (vX_[932] * vX_[202] + vX_[155] * vX_[586]) - (vX_[949] * vX_[161] + vX_[806] * vX_[574]);
+ vX_[817] = vX_[817] - vX_[145];
+ vX_[139] = vX_[139] - vX_[145];
+ vX_[803] = vX_[128] * vX_[813];
+ vX_[208] = (vX_[199] * vX_[139] + vX_[803]) * vX_[199] + (vX_[199] * vX_[813] + vX_[128] * vX_[817]) * vX_[128];
+ vX_[813] = vX_[128] * vX_[139] + vX_[198] * vX_[813];
+ vX_[803] = vX_[803] + vX_[198] * vX_[817];
+ vX_[138] = vX_[813] * vX_[128] + vX_[803] * vX_[198];
+ vX_[166] = (vX_[806] - vX_[937] * vX_[160]) / vX_[573];
+ vX_[175] = (vX_[175] - (vX_[689] * vX_[166] + vX_[197] * vX_[937]) - vX_[938] * vX_[194]) / vX_[570];
+ vX_[799] = (vX_[799] - (vX_[687] * vX_[175] + vX_[822] * vX_[938]) - (vX_[480] * vX_[166] + vX_[222] * vX_[937]) - vX_[947] * vX_[807]) / vX_[572];
+ vX_[139] = vX_[817] + vX_[139] + vX_[145] - vX_[208] - vX_[138] - (vX_[932] * vX_[175] + vX_[155] * vX_[938]) - (vX_[949] * vX_[166] + vX_[806] * vX_[937]) - (vX_[946] * vX_[799] + vX_[245] * vX_[947]);
+ vX_[698] = (-1 * vX_[698] - (vX_[932] * vX_[823] + vX_[155] * vX_[561]) - (vX_[949] * vX_[810] + vX_[806] * vX_[872]) - (vX_[946] * vX_[137] + vX_[245] * vX_[563]) - vX_[618] * vX_[139]) / vX_[976];
+ vX_[134] = - vX_[134];
+ vX_[817] = vX_[128] * vX_[134] + vX_[198] * vX_[164];
+ vX_[304] = vX_[817] - (vX_[913] * vX_[175] + vX_[291] * vX_[938]) - (vX_[933] * vX_[166] + vX_[228] * vX_[937]) - (vX_[722] * vX_[799] + vX_[283] * vX_[947]);
+ vX_[821] = (vX_[228] - vX_[934] * vX_[160]) / vX_[573];
+ vX_[176] = (vX_[176] - (vX_[689] * vX_[821] + vX_[197] * vX_[934]) - vX_[935] * vX_[194]) / vX_[570];
+ vX_[801] = (vX_[801] - (vX_[687] * vX_[176] + vX_[822] * vX_[935]) - (vX_[480] * vX_[821] + vX_[222] * vX_[934]) - vX_[936] * vX_[807]) / vX_[572];
+ vX_[817] = (vX_[817] - (vX_[932] * vX_[176] + vX_[155] * vX_[935]) - (vX_[949] * vX_[821] + vX_[806] * vX_[934]) - (vX_[946] * vX_[801] + vX_[245] * vX_[936]) - vX_[919] * vX_[139]) / vX_[976];
+ vX_[208] = vX_[145] + vX_[208] - (vX_[913] * vX_[176] + vX_[291] * vX_[935]) - (vX_[933] * vX_[821] + vX_[228] * vX_[934]) - (vX_[722] * vX_[801] + vX_[283] * vX_[936]) - (vX_[948] * vX_[817] + vX_[304] * vX_[919]);
+ vX_[505] = (vX_[127] * vX_[237] + vX_[765] * vX_[922] - (vX_[913] * vX_[823] + vX_[291] * vX_[561]) - (vX_[933] * vX_[810] + vX_[228] * vX_[872]) - (vX_[722] * vX_[137] + vX_[283] * vX_[563]) - (vX_[948] * vX_[698] + vX_[304] * vX_[618]) - vX_[899] * vX_[208]) / vX_[973];
+ vX_[133] = vX_[133] * vX_[128] + vX_[496] * vX_[198];
+ vX_[162] = vX_[820] * vX_[198] + vX_[825] * vX_[128] + vX_[162];
+ vX_[825] = vX_[133] - (vX_[945] * vX_[185] + vX_[162] * vX_[688]);
+ vX_[798] = vX_[798] * vX_[198] + vX_[216] * vX_[128] + vX_[806];
+ vX_[216] = vX_[798] - (vX_[977] * vX_[202] + vX_[825] * vX_[586]) - (vX_[945] * vX_[161] + vX_[162] * vX_[574]);
+ vX_[134] = 0 - vX_[128] * vX_[164] - vX_[199] * vX_[134];
+ vX_[164] = vX_[134] - (vX_[977] * vX_[175] + vX_[825] * vX_[938]) - (vX_[945] * vX_[166] + vX_[162] * vX_[937]) - (vX_[474] * vX_[799] + vX_[216] * vX_[947]);
+ vX_[803] = vX_[813] * vX_[199] + vX_[803] * vX_[128];
+ vX_[813] = vX_[803] - (vX_[977] * vX_[176] + vX_[825] * vX_[935]) - (vX_[945] * vX_[821] + vX_[162] * vX_[934]) - (vX_[474] * vX_[801] + vX_[216] * vX_[936]) - (vX_[984] * vX_[817] + vX_[164] * vX_[919]);
+ vX_[160] = (vX_[162] - vX_[978] * vX_[160]) / vX_[573];
+ vX_[133] = (vX_[133] - (vX_[689] * vX_[160] + vX_[197] * vX_[978]) - vX_[979] * vX_[194]) / vX_[570];
+ vX_[798] = (vX_[798] - (vX_[687] * vX_[133] + vX_[822] * vX_[979]) - (vX_[480] * vX_[160] + vX_[222] * vX_[978]) - vX_[980] * vX_[807]) / vX_[572];
+ vX_[134] = (vX_[134] - (vX_[932] * vX_[133] + vX_[155] * vX_[979]) - (vX_[949] * vX_[160] + vX_[806] * vX_[978]) - (vX_[946] * vX_[798] + vX_[245] * vX_[980]) - vX_[985] * vX_[139]) / vX_[976];
+ vX_[803] = (vX_[803] - (vX_[913] * vX_[133] + vX_[291] * vX_[979]) - (vX_[933] * vX_[160] + vX_[228] * vX_[978]) - (vX_[722] * vX_[798] + vX_[283] * vX_[980]) - (vX_[948] * vX_[134] + vX_[304] * vX_[985]) - vX_[986] * vX_[208]) / vX_[973];
+ vX_[813] = (vX_[198] * vX_[237] + vX_[764] * vX_[922] - (vX_[977] * vX_[823] + vX_[825] * vX_[561]) - (vX_[945] * vX_[810] + vX_[162] * vX_[872]) - (vX_[474] * vX_[137] + vX_[216] * vX_[563]) - (vX_[984] * vX_[698] + vX_[164] * vX_[618]) - (vX_[955] * vX_[505] + vX_[813] * vX_[899]) - vX_[568] * (vX_[145] + vX_[138] - (vX_[977] * vX_[133] + vX_[825] * vX_[979]) - (vX_[945] * vX_[160] + vX_[162] * vX_[978]) - (vX_[474] * vX_[798] + vX_[216] * vX_[980]) - (vX_[984] * vX_[134] + vX_[164] * vX_[985]) - (vX_[955] * vX_[803] + vX_[813] * vX_[986]))) / vX_[975];
+ jac[527] = - vX_[813];
+ vX_[803] = vX_[505] - (vX_[986] * vX_[813] + vX_[803] * vX_[568]);
+ jac[526] = - vX_[803];
+ vX_[134] = vX_[698] - (vX_[985] * vX_[813] + vX_[134] * vX_[568]) - (vX_[919] * vX_[803] + vX_[817] * vX_[358]);
+ jac[525] = - vX_[134];
+ vX_[798] = vX_[137] - (vX_[936] * vX_[803] + vX_[801] * vX_[358]) - (vX_[947] * vX_[134] + vX_[799] * vX_[912]) - (vX_[980] * vX_[813] + vX_[798] * vX_[568]);
+ jac[524] = - vX_[798];
+ vX_[133] = vX_[823] - (vX_[938] * vX_[134] + vX_[175] * vX_[912]) - (vX_[586] * vX_[798] + vX_[202] * vX_[452]) - (vX_[935] * vX_[803] + vX_[176] * vX_[358]) - (vX_[979] * vX_[813] + vX_[133] * vX_[568]);
+ jac[522] = vX_[574] * vX_[798] + vX_[161] * vX_[452] + vX_[688] * vX_[133] + vX_[185] * vX_[885] + vX_[937] * vX_[134] + vX_[166] * vX_[912] + vX_[934] * vX_[803] + vX_[821] * vX_[358] + vX_[978] * vX_[813] + vX_[160] * vX_[568] - vX_[810];
+ jac[523] = - vX_[133];
+ vX_[133] = -1 * jac[522];
+ vX_[798] = vX_[440] * jac[524] + vX_[360] * jac[523];
+ vX_[134] = vX_[360] * jac[524] + vX_[441] * jac[523];
+ vX_[803] = -1 * jac[525];
+ vX_[813] = 0.207 * jac[524] + vX_[803];
+ vX_[160] = vX_[610] * jac[524] + vX_[611] * jac[523] + vX_[438] * jac[522] + vX_[359] * jac[527] + vX_[612] * jac[526];
+ jac[528] = (0 - vX_[435] * vX_[133] - vX_[472] * vX_[798] - vX_[430] * vX_[134] - vX_[457] * vX_[813] - vX_[449] * (vX_[443] * jac[524] + vX_[442] * jac[523] + vX_[596] * jac[522] + vX_[440] * jac[527] + vX_[597] * jac[526]) - vX_[433] * vX_[160]) / vX_[435];
+ vX_[821] = -1 * vX_[798];
+ vX_[166] = vX_[133] + jac[528];
+ vX_[161] = vX_[361] * vX_[813] + vX_[625] * vX_[160] + vX_[592] * vX_[798];
+ vX_[160] = vX_[388] * vX_[813] + vX_[361] * vX_[160] + vX_[409] * vX_[798];
+ jac[529] = (0 - vX_[385] * vX_[821] - vX_[392] * (vX_[361] * vX_[166] + vX_[389] * vX_[134]) - vX_[373] * (vX_[388] * vX_[166] + vX_[361] * vX_[134]) - vX_[383] * vX_[161] - vX_[396] * vX_[160]) / vX_[385];
+ vX_[821] = vX_[821] + jac[529];
+ jac[530] = (0 - 0.1104774 * (vX_[362] * vX_[161] + vX_[636] * vX_[160] + vX_[637] * vX_[821]) - -0.0004405 * (vX_[364] * vX_[161] + vX_[362] * vX_[160] + vX_[367] * vX_[821]) - 0.026181 * vX_[821]) / 0.026181;
+ vX_[821] = vX_[318] * jac[524] + vX_[239] * jac[523];
+ vX_[160] = vX_[320] * jac[524] + vX_[318] * jac[523];
+ vX_[161] = 0.207 * jac[524] + jac[525];
+ vX_[166] = vX_[830] * jac[524] + vX_[831] * jac[523] + vX_[317] * jac[522] + vX_[832] * jac[527] + vX_[318] * jac[526];
+ jac[531] = (0 - vX_[314] * jac[522] - vX_[350] * vX_[821] - vX_[309] * vX_[160] - vX_[335] * vX_[161] - vX_[327] * (vX_[321] * jac[524] + vX_[319] * jac[523] + vX_[845] * jac[522] + vX_[318] * jac[527] + vX_[239] * jac[526]) - vX_[312] * vX_[166]) / vX_[314];
+ vX_[134] = jac[522] + jac[531];
+ vX_[813] = vX_[850] * vX_[161] + vX_[851] * vX_[166] + vX_[852] * vX_[821];
+ vX_[166] = vX_[267] * vX_[161] + vX_[240] * vX_[166] + vX_[289] * vX_[821];
+ jac[532] = (0 - vX_[264] * vX_[821] - vX_[271] * (vX_[287] * vX_[134] + vX_[268] * vX_[160]) - vX_[252] * (vX_[268] * vX_[134] + vX_[240] * vX_[160]) - vX_[262] * vX_[813] - vX_[275] * vX_[166]) / vX_[264];
+ vX_[821] = vX_[821] + jac[532];
+ jac[533] = (0 - 0.1104774 * (vX_[241] * vX_[813] + vX_[854] * vX_[166] + vX_[856] * vX_[821]) - -0.0004405 * (vX_[243] * vX_[813] + vX_[241] * vX_[166] + vX_[246] * vX_[821]) - 0.026181 * vX_[821]) / 0.026181;
+ vX_[821] = vX_[198] * jac[524] + vX_[128] * jac[523];
+ vX_[166] = vX_[128] * jac[524] + vX_[199] * jac[523];
+ vX_[803] = 0.207 * jac[524] + vX_[803];
+ vX_[813] = vX_[762] * jac[524] + vX_[763] * jac[523] + vX_[196] * jac[522] + vX_[764] * jac[527] + vX_[765] * jac[526];
+ jac[534] = (vX_[170] - (vX_[193] * vX_[133] + vX_[163] * vX_[475]) - (vX_[230] * vX_[821] + vX_[147] * vX_[285]) - (vX_[188] * vX_[166] + vX_[168] * vX_[880]) - (vX_[215] * vX_[803] + vX_[159] * vX_[903]) - (vX_[207] * (vX_[201] * jac[524] + vX_[200] * jac[523] + vX_[701] * jac[522] + vX_[198] * jac[527] + vX_[127] * jac[526]) + vX_[189] * vX_[183]) - (vX_[191] * vX_[813] + vX_[894] * vX_[233]) - vX_[523] * vX_[163]) / vX_[193];
+ vX_[159] = -1 * vX_[821];
+ vX_[170] = -1 * vX_[285];
+ vX_[133] = vX_[133] + jac[534];
+ vX_[894] = vX_[129] * vX_[803] + vX_[772] * vX_[813] + vX_[773] * vX_[821];
+ vX_[787] = vX_[129] * vX_[903] + vX_[772] * vX_[233] + vX_[773] * vX_[285] + vX_[787];
+ vX_[813] = vX_[149] * vX_[803] + vX_[129] * vX_[813] + vX_[167] * vX_[821];
+ vX_[233] = vX_[149] * vX_[903] + vX_[129] * vX_[233] + vX_[167] * vX_[285] + vX_[781];
+ vX_[940] = (vX_[816] - vX_[146] * vX_[170] - 2.1e-05 * (vX_[129] * vX_[940] + vX_[150] * vX_[880] + vX_[794]) - -0.000102 * (vX_[149] * vX_[940] + vX_[129] * vX_[880] + vX_[795]) - vX_[144] * vX_[787] - vX_[154] * vX_[233]) / vX_[146];
+ jac[535] = (vX_[181] - (vX_[146] * vX_[159] + vX_[204] * vX_[170]) - 2.1e-05 * (vX_[129] * vX_[133] + vX_[150] * vX_[166]) - -0.000102 * (vX_[149] * vX_[133] + vX_[129] * vX_[166]) - (vX_[144] * vX_[894] + vX_[606] * vX_[787]) - (vX_[154] * vX_[813] + vX_[331] * vX_[233]) - vX_[940] * vX_[204]) / vX_[146];
+ vX_[159] = vX_[159] + jac[535];
+ vX_[940] = vX_[170] + vX_[940];
+ jac[536] = (vX_[893] - 0.110125 * (vX_[132] * vX_[894] + vX_[205] * vX_[787] + vX_[782] * vX_[813] + vX_[258] * vX_[233] + vX_[783] * vX_[159] + vX_[874] * vX_[940] + vX_[875]) - 0.000881 * (vX_[130] * vX_[894] + vX_[682] * vX_[787] + vX_[132] * vX_[813] + vX_[205] * vX_[233] + vX_[131] * vX_[159] + vX_[174] * vX_[940] + vX_[211]) - 0.026181 * vX_[159]) / 0.026181;
+ vX_[940] = vX_[86] * jac[524] + vX_[24] * jac[523];
+ vX_[159] = vX_[88] * jac[524] + vX_[86] * jac[523];
+ vX_[233] = 0.207 * jac[524] + jac[525];
+ vX_[813] = vX_[649] * jac[524] + vX_[608] * jac[523] + vX_[85] * jac[522] + vX_[616] * jac[527] + vX_[86] * jac[526];
+ jac[537] = (0 - vX_[82] * jac[522] - vX_[118] * vX_[940] - vX_[77] * vX_[159] - vX_[103] * vX_[233] - vX_[95] * (vX_[89] * jac[524] + vX_[87] * jac[523] + vX_[703] * jac[522] + vX_[86] * jac[527] + vX_[24] * jac[526]) - vX_[80] * vX_[813]) / vX_[82];
+ vX_[787] = jac[522] + jac[537];
+ vX_[894] = vX_[708] * vX_[233] + vX_[709] * vX_[813] + vX_[710] * vX_[940];
+ vX_[813] = vX_[10] * vX_[233] + vX_[33] * vX_[813] + vX_[57] * vX_[940];
+ jac[538] = (0 - vX_[17] * vX_[940] - vX_[6] * (vX_[55] * vX_[787] + vX_[38] * vX_[159]) - vX_[23] * (vX_[38] * vX_[787] + vX_[33] * vX_[159]) - vX_[15] * vX_[894] - vX_[43] * vX_[813]) / vX_[17];
+ vX_[940] = vX_[940] + jac[538];
+ jac[539] = (0 - 0.1104774 * (vX_[20] * vX_[894] + vX_[712] * vX_[813] + vX_[714] * vX_[940]) - 0.0004405 * (vX_[37] * vX_[894] + vX_[20] * vX_[813] + vX_[34] * vX_[940]) - 0.026181 * vX_[940]) / 0.026181;
+ vX_[940] = -1 * sin(x_in[15]);
+ vX_[813] = cos(x_in[15]);
+ vX_[894] = vX_[940] * x_in[19] + vX_[813] * x_in[20];
+ vX_[787] = -0.3735 * vX_[940];
+ vX_[159] = 0.3735 * vX_[813];
+ vX_[233] = -0.207 * vX_[813];
+ vX_[893] = vX_[787] * x_in[20] + vX_[159] * x_in[19] + vX_[233] * x_in[18] + vX_[813] * x_in[23] + vX_[940] * x_in[22];
+ vX_[211] = vX_[894] * vX_[693] - vX_[640] * vX_[893];
+ vX_[874] = vX_[894] * vX_[640];
+ vX_[258] = - vX_[940];
+ vX_[875] = vX_[813] * x_in[19] + vX_[258] * x_in[20];
+ vX_[174] = vX_[659] * vX_[875] + vX_[875] * vX_[659];
+ vX_[682] = -0.3735 * vX_[813];
+ vX_[205] = -0.3735 * vX_[940];
+ vX_[170] = 0.207 * vX_[940];
+ vX_[133] = - vX_[940];
+ vX_[166] = vX_[682] * x_in[20] + vX_[205] * x_in[19] + vX_[170] * x_in[18] + vX_[133] * x_in[23] + vX_[813] * x_in[22];
+ vX_[181] = vX_[33] * vX_[166] + vX_[57] * vX_[894];
+ vX_[331] = vX_[697] * vX_[181] + vX_[894] * vX_[713];
+ vX_[204] = vX_[33] * vX_[875];
+ vX_[606] = vX_[700] * vX_[893] + vX_[204] * vX_[705];
+ vX_[880] = vX_[38] * vX_[875];
+ vX_[816] = vX_[700] * vX_[880] + vX_[204] * vX_[696];
+ vX_[795] = vX_[700] * vX_[894] + vX_[204] * vX_[697];
+ vX_[794] = vX_[709] * vX_[166] + vX_[710] * vX_[894];
+ vX_[903] = vX_[37] * vX_[794] + vX_[20] * vX_[181] + vX_[34] * vX_[894];
+ vX_[285] = vX_[707] * vX_[903] + vX_[894] * vX_[721];
+ vX_[781] = -0.35 * vX_[880] + vX_[893];
+ vX_[803] = vX_[20] * vX_[204] + vX_[37] * vX_[880];
+ vX_[821] = vX_[718] * vX_[781] + vX_[803] * vX_[706];
+ vX_[189] = vX_[36] * vX_[204] + vX_[20] * vX_[880];
+ vX_[168] = vX_[718] * vX_[189] + vX_[803] * vX_[702];
+ vX_[163] = vX_[20] * vX_[794] + vX_[712] * vX_[181] + vX_[714] * vX_[894];
+ vX_[781] = vX_[702] * vX_[781] + vX_[189] * vX_[706] - (vX_[707] * vX_[163] + vX_[894] * vX_[715]);
+ vX_[147] = 0.1104774 * (vX_[285] - vX_[821]) + 0.025941 * vX_[168] - -0.0004405 * vX_[781];
+ vX_[523] = 0 - vX_[147];
+ vX_[183] = vX_[702] * vX_[894] + vX_[189] * vX_[707];
+ vX_[475] = (- vX_[903]) * x_in[35];
+ vX_[134] = vX_[163] * x_in[35];
+ vX_[160] = vX_[189] * x_in[35];
+ vX_[161] = vX_[707] * vX_[894] + vX_[894] * vX_[707];
+ vX_[798] = vX_[718] * vX_[803] + vX_[803] * vX_[718];
+ vX_[185] = -0.881 * (vX_[821] - vX_[285]) + 0.1104774 * vX_[168] + 8.81e-05 * vX_[183] + 0.414812462825713 * vX_[475] + -0.00185880198235362 * vX_[134] + -8.81e-05 * vX_[160] + (0.1104774 * vX_[523]) / 0.026181 - -0.0004405 * (vX_[161] + vX_[798]);
+ vX_[810] = vX_[718] * vX_[894] + vX_[803] * vX_[707];
+ vX_[176] = (- vX_[803]) * x_in[35];
+ vX_[175] = vX_[702] * vX_[189] + vX_[189] * vX_[702];
+ vX_[161] = 0.881 * vX_[781] + 8.81e-05 * vX_[810] + -0.0004405 * vX_[168] + -0.00185880198235362 * vX_[475] + 0.880992588508842 * vX_[134] + 8.81e-05 * vX_[176] + (0.0004405 * vX_[523]) / 0.026181 - 0.1104774 * (vX_[161] + vX_[175]);
+ vX_[168] = vX_[696] * vX_[893] + vX_[880] * vX_[705] - (vX_[697] * vX_[794] + vX_[894] * vX_[711]);
+ vX_[202] = vX_[696] * vX_[894] + vX_[880] * vX_[697];
+ vX_[823] = vX_[696] * vX_[880] + vX_[880] * vX_[696];
+ vX_[801] = vX_[700] * vX_[204] + vX_[204] * vX_[700];
+ vX_[147] = 0.47422804 * (vX_[331] - vX_[606]) + 0.081641 * vX_[816] + 2.1e-05 * vX_[795] + (0.026181 * vX_[523]) / 0.026181 + vX_[147] + vX_[714] * vX_[185] + vX_[34] * vX_[161] - 0.0825825 * vX_[168] - -0.000102 * vX_[202] - -0.007418 * (vX_[823] - vX_[801]);
+ vX_[799] = 0 - vX_[147];
+ vX_[137] = (- vX_[204]) * x_in[34];
+ vX_[817] = vX_[880] * x_in[34];
+ vX_[698] = (- vX_[181]) * x_in[34];
+ vX_[505] = vX_[794] * x_in[34];
+ vX_[164] = vX_[697] * vX_[894] + vX_[894] * vX_[697];
+ vX_[606] = -3.146 * (vX_[606] - vX_[331]) + 0.47422804 * vX_[816] + vX_[20] * vX_[185] + vX_[37] * vX_[161] + vX_[31] * vX_[137] + vX_[13] * vX_[817] + vX_[66] * vX_[698] + vX_[68] * vX_[505] + (vX_[15] * vX_[799]) / vX_[17] - 0.0825825 * (vX_[164] + vX_[801]);
+ vX_[168] = 3.146 * vX_[168] + 0.0825825 * vX_[816] + vX_[712] * vX_[185] + vX_[20] * vX_[161] + vX_[46] * vX_[137] + vX_[45] * vX_[817] + vX_[68] * vX_[698] + vX_[67] * vX_[505] + (vX_[43] * vX_[799]) / vX_[17] - 0.47422804 * (vX_[164] + vX_[823]);
+ vX_[161] = (- vX_[875]) * x_in[33];
+ vX_[185] = vX_[894] * x_in[33];
+ vX_[331] = (- vX_[166]) * x_in[33];
+ vX_[216] = vX_[893] * x_in[33];
+ vX_[825] = vX_[659] * vX_[894] + vX_[875] * vX_[587];
+ vX_[162] = vX_[640] * vX_[166];
+ vX_[138] = vX_[875] * vX_[693];
+ vX_[145] = vX_[875] * vX_[640];
+ vX_[163] = vX_[718] * vX_[163] + vX_[803] * vX_[715] - (vX_[702] * vX_[903] + vX_[189] * vX_[721]);
+ vX_[781] = 8.81e-05 * vX_[781] + 8.81e-05 * vX_[134] + 0.026409 * vX_[176] - 0.1104774 * vX_[163] - 0.025713 * vX_[810];
+ vX_[821] = -0.0004405 * vX_[163] + 8.81e-05 * (vX_[821] - vX_[285]) + -0.000227999999999999 * vX_[183] + -8.81e-05 * vX_[475] + 0.000468 * vX_[160];
+ vX_[163] = 0.881 * vX_[163] + 0.1104774 * vX_[810] + -0.0004405 * vX_[183] + -0.1104774 * vX_[176] + -0.0004405 * vX_[160] - 8.81e-05 * (vX_[175] + vX_[798]);
+ vX_[794] = vX_[700] * vX_[794] + vX_[204] * vX_[711] - (vX_[696] * vX_[181] + vX_[880] * vX_[713]);
+ vX_[801] = -0.007418 * vX_[202] + -0.000102 * (vX_[164] - vX_[801]) + vX_[20] * vX_[781] + vX_[37] * vX_[821] + -0.35 * vX_[163] + vX_[62] * vX_[137] + vX_[54] * vX_[817] + vX_[31] * vX_[698] + vX_[46] * vX_[505] + (vX_[6] * vX_[799]) / vX_[17] - 0.47422804 * vX_[794] - 0.084376 * vX_[795] - 2.1e-05 * vX_[816];
+ vX_[821] = 0.002735 * vX_[202] + 0.0825825 * vX_[794] + -0.000102 * vX_[816] + vX_[36] * vX_[781] + vX_[20] * vX_[821] + vX_[54] * vX_[137] + vX_[61] * vX_[817] + vX_[13] * vX_[698] + vX_[45] * vX_[505] + (vX_[23] * vX_[799]) / vX_[17] - -0.007418 * vX_[795] - 2.1e-05 * (vX_[164] - vX_[823]);
+ vX_[794] = 0.47422804 * vX_[795] + 3.146 * vX_[794] + 0.0825825 * vX_[202] + vX_[163] + vX_[29] * vX_[137] + vX_[42] * vX_[817];
+ vX_[163] = vX_[587] * vX_[894] + vX_[894] * vX_[587];
+ vX_[202] = 0.009466 * vX_[825] + 0.1466472 * (vX_[162] - vX_[138]) + -5.1e-05 * vX_[145] + vX_[55] * vX_[801] + vX_[38] * vX_[821] + 0.08 * vX_[794] - -0.022734 * vX_[874] - -3.6e-05 * (vX_[163] - vX_[174]);
+ vX_[795] = 0 - vX_[202];
+ vX_[166] = vX_[659] * vX_[893] + vX_[875] * vX_[704] - (vX_[587] * vX_[166] + vX_[894] * vX_[645]);
+ vX_[147] = 0.5824264 * vX_[211] + -3.6e-05 * vX_[874] + -0.022734 * (0 - vX_[174]) + (vX_[17] * vX_[799]) / vX_[17] + vX_[147] + vX_[710] * vX_[606] + vX_[57] * vX_[168] + vX_[483] * vX_[161] + vX_[538] * vX_[185] + vX_[119] * vX_[331] + vX_[108] * vX_[216] + (vX_[118] * vX_[795]) / vX_[82] - 0.1466472 * vX_[166] - -0.123672 * vX_[145] - -5.1e-05 * vX_[825];
+ vX_[821] = -0.133138 * vX_[874] + 0.5824264 * (vX_[138] - vX_[162]) + -0.022734 * vX_[825] + vX_[38] * vX_[801] + vX_[33] * vX_[821] + vX_[538] * vX_[161] + vX_[81] * vX_[185] + vX_[109] * vX_[331] + vX_[84] * vX_[216] + (vX_[77] * vX_[795]) / vX_[82] - -3.6e-05 * vX_[145] - -5.1e-05 * (0 - vX_[163]);
+ vX_[166] = 3.44 * vX_[166] + 0.1466472 * vX_[145] + vX_[708] * vX_[606] + vX_[10] * vX_[168] + vX_[94] * vX_[161] + vX_[71] * vX_[185] + vX_[112] * vX_[331] + vX_[105] * vX_[216] + (vX_[103] * vX_[795]) / vX_[82] - 0.5824264 * (vX_[163] + vX_[174]);
+ vX_[794] = 0.1466472 * vX_[825] + -3.44 * (vX_[138] - vX_[162]) + 0.5824264 * vX_[874] + vX_[794] + vX_[119] * vX_[161] + vX_[109] * vX_[185] + vX_[111] * vX_[331] + vX_[97] * vX_[216] + (vX_[95] * vX_[795]) / vX_[82];
+ vX_[163] = 3.44 * vX_[211] + 0.5824264 * vX_[145] + vX_[709] * vX_[606] + vX_[33] * vX_[168] + vX_[108] * vX_[161] + vX_[84] * vX_[185] + vX_[97] * vX_[331] + vX_[123] * vX_[216] + (vX_[80] * vX_[795]) / vX_[82] - 0.1466472 * vX_[163];
+ vX_[145] = 0.207 * vX_[813];
+ vX_[168] = vX_[86] * vX_[159] + vX_[813] * vX_[87] + vX_[88] * vX_[787] + vX_[258] * vX_[89];
+ vX_[606] = vX_[145] * vX_[122] - vX_[168] * vX_[105];
+ vX_[211] = vX_[145] * vX_[105] - vX_[168] * vX_[123];
+ vX_[138] = vX_[170] * vX_[123] - vX_[145] * vX_[97];
+ vX_[162] = vX_[170] * vX_[97] - vX_[145] * vX_[111];
+ vX_[487] = vX_[486] * vX_[170] + vX_[138] * vX_[85] - (vX_[487] * vX_[145] + vX_[162] * vX_[110]);
+ vX_[485] = vX_[481] * vX_[145] + vX_[484] * vX_[145] + vX_[606] * vX_[110] - vX_[485] * vX_[168] - (vX_[124] * vX_[168] + vX_[211] * vX_[90]) - vX_[487];
+ vX_[484] = vX_[168] * vX_[111] - vX_[170] * vX_[112];
+ vX_[122] = vX_[168] * vX_[112] - vX_[170] * vX_[122];
+ vX_[492] = vX_[490] * vX_[168] + vX_[113] * vX_[168] + vX_[484] * vX_[90] - vX_[492] * vX_[170] - (vX_[493] * vX_[170] + vX_[122] * vX_[85]) - vX_[487];
+ vX_[490] = vX_[168] * vX_[97];
+ vX_[481] = vX_[170] * vX_[105];
+ vX_[486] = vX_[490] - vX_[481];
+ vX_[168] = vX_[119] * vX_[168] + vX_[71] * vX_[145] + vX_[493] * vX_[145] + vX_[122] * vX_[110] - vX_[84] * vX_[168] - vX_[94] * vX_[170] - (vX_[107] * vX_[168] + vX_[486] * vX_[90]);
+ vX_[493] = vX_[86] * vX_[168] + vX_[813] * vX_[539];
+ vX_[542] = vX_[540] * vX_[813] + (vX_[86] * vX_[492] + vX_[813] * vX_[494] + vX_[24] * vX_[168] + vX_[940] * vX_[539]) * vX_[86] + vX_[542] * vX_[940] + (vX_[493] + vX_[24] * vX_[485] + vX_[940] * vX_[489]) * vX_[24];
+ vX_[493] = vX_[88] * vX_[492] + vX_[258] * vX_[494] + vX_[493];
+ vX_[168] = vX_[88] * vX_[168] + vX_[258] * vX_[539] + vX_[86] * vX_[485] + vX_[813] * vX_[489];
+ vX_[539] = vX_[541] * vX_[258] + vX_[493] * vX_[88] + vX_[544] * vX_[813] + vX_[168] * vX_[86];
+ vX_[492] = vX_[485] + vX_[492] + vX_[487] - vX_[542] - vX_[539];
+ vX_[202] = ((vX_[82] * vX_[795]) / vX_[82] + vX_[202] + vX_[703] * vX_[794] + vX_[233] * vX_[723] + vX_[85] * vX_[163] + vX_[170] * vX_[699] - vX_[872] * vX_[492]) / vX_[573];
+ vX_[485] = vX_[145] * vX_[112];
+ vX_[490] = vX_[485] - vX_[490];
+ vX_[124] = vX_[119] * vX_[145] + vX_[98] * vX_[145] + vX_[490] * vX_[110] - vX_[108] * vX_[170] - (vX_[124] * vX_[170] + vX_[211] * vX_[85]);
+ vX_[145] = vX_[84] * vX_[170] + vX_[107] * vX_[170] + vX_[486] * vX_[85] - vX_[109] * vX_[145] - (vX_[113] * vX_[145] + vX_[484] * vX_[110]);
+ vX_[113] = vX_[88] * vX_[124] + vX_[258] * vX_[125] + vX_[86] * vX_[145] + vX_[813] * vX_[114];
+ vX_[107] = (vX_[113] - vX_[688] * vX_[492]) / vX_[573];
+ vX_[542] = vX_[487] + vX_[542] - (vX_[689] * vX_[107] + vX_[113] * vX_[688]);
+ vX_[98] = (vX_[24] * vX_[147] + vX_[940] * vX_[754] + vX_[86] * vX_[821] + vX_[813] * vX_[742] + vX_[87] * vX_[794] + vX_[159] * vX_[723] + vX_[608] * vX_[163] + vX_[205] * vX_[699] - (vX_[689] * vX_[202] + vX_[113] * vX_[872]) - vX_[561] * vX_[542]) / vX_[570];
+ vX_[168] = vX_[541] * vX_[813] + vX_[493] * vX_[86] + vX_[544] * vX_[940] + vX_[168] * vX_[24];
+ vX_[145] = 0 - (vX_[24] * vX_[145] + vX_[940] * vX_[114]) - (vX_[86] * vX_[124] + vX_[813] * vX_[125]);
+ vX_[124] = vX_[168] - (vX_[480] * vX_[107] + vX_[145] * vX_[688]);
+ vX_[125] = (vX_[145] - vX_[574] * vX_[492]) / vX_[573];
+ vX_[168] = (vX_[168] - (vX_[689] * vX_[125] + vX_[113] * vX_[574]) - vX_[586] * vX_[542]) / vX_[570];
+ vX_[539] = vX_[487] + vX_[539] - (vX_[687] * vX_[168] + vX_[124] * vX_[586]) - (vX_[480] * vX_[125] + vX_[145] * vX_[574]);
+ vX_[821] = (vX_[86] * vX_[147] + vX_[813] * vX_[754] + vX_[88] * vX_[821] + vX_[258] * vX_[742] + 0.207 * vX_[166] + vX_[89] * vX_[794] + vX_[787] * vX_[723] + vX_[649] * vX_[163] + vX_[682] * vX_[699] - (vX_[687] * vX_[98] + vX_[124] * vX_[561]) - (vX_[480] * vX_[202] + vX_[145] * vX_[872]) - vX_[563] * vX_[539]) / vX_[572];
+ vX_[485] = vX_[481] - vX_[485];
+ vX_[490] = vX_[490] - vX_[485];
+ vX_[481] = vX_[86] * vX_[484] + vX_[813] * vX_[642] + vX_[24] * vX_[490] + vX_[940] * vX_[905];
+ vX_[486] = vX_[486] - vX_[485];
+ vX_[147] = vX_[86] * vX_[486] + vX_[813] * vX_[106] + vX_[24] * vX_[211] + vX_[940] * vX_[630];
+ vX_[742] = vX_[567] * vX_[940] + vX_[481] * vX_[24] + vX_[571] * vX_[813] + vX_[147] * vX_[86] + vX_[485];
+ vX_[162] = vX_[162] + vX_[606];
+ vX_[138] = vX_[138] + vX_[122];
+ vX_[606] = - vX_[606];
+ vX_[754] = vX_[88] * vX_[606] + vX_[258] * vX_[914] + vX_[86] * vX_[122] + vX_[813] * vX_[916];
+ vX_[487] = vX_[915] * vX_[940] + vX_[162] * vX_[24] + vX_[917] * vX_[813] + vX_[138] * vX_[86] - vX_[754];
+ vX_[114] = vX_[742] - (vX_[933] * vX_[107] + vX_[487] * vX_[688]);
+ vX_[486] = vX_[88] * vX_[486] + vX_[258] * vX_[106] + vX_[86] * vX_[211] + vX_[813] * vX_[630];
+ vX_[490] = vX_[88] * vX_[484] + vX_[258] * vX_[642] + vX_[86] * vX_[490] + vX_[813] * vX_[905];
+ vX_[484] = vX_[631] * vX_[813] + vX_[486] * vX_[86] + vX_[545] * vX_[940] + vX_[490] * vX_[24];
+ vX_[905] = vX_[484] - (vX_[913] * vX_[168] + vX_[114] * vX_[586]) - (vX_[933] * vX_[125] + vX_[487] * vX_[574]);
+ vX_[642] = vX_[754] - (vX_[949] * vX_[107] + vX_[485] * vX_[688]);
+ vX_[606] = vX_[86] * vX_[606] + vX_[813] * vX_[914] + vX_[24] * vX_[122] + vX_[940] * vX_[916];
+ vX_[122] = - vX_[606];
+ vX_[914] = vX_[122] - (vX_[932] * vX_[168] + vX_[642] * vX_[586]) - (vX_[949] * vX_[125] + vX_[485] * vX_[574]);
+ vX_[916] = vX_[813] * vX_[97];
+ vX_[954] = vX_[952] * vX_[813] + (vX_[813] * vX_[944] + vX_[940] * vX_[97]) * vX_[86] + vX_[954] * vX_[940] + (vX_[916] + vX_[940] * vX_[906]) * vX_[24];
+ vX_[916] = vX_[258] * vX_[944] + vX_[916];
+ vX_[906] = vX_[258] * vX_[97] + vX_[813] * vX_[906];
+ vX_[944] = vX_[953] * vX_[258] + vX_[916] * vX_[88] + vX_[956] * vX_[813] + vX_[906] * vX_[86];
+ vX_[952] = (vX_[485] - vX_[937] * vX_[492]) / vX_[573];
+ vX_[754] = (vX_[754] - (vX_[689] * vX_[952] + vX_[113] * vX_[937]) - vX_[938] * vX_[542]) / vX_[570];
+ vX_[122] = (vX_[122] - (vX_[687] * vX_[754] + vX_[124] * vX_[938]) - (vX_[480] * vX_[952] + vX_[145] * vX_[937]) - vX_[947] * vX_[539]) / vX_[572];
+ vX_[211] = 0 - vX_[954] - vX_[944] - (vX_[932] * vX_[754] + vX_[642] * vX_[938]) - (vX_[949] * vX_[952] + vX_[485] * vX_[937]) - (vX_[946] * vX_[122] + vX_[914] * vX_[947]);
+ vX_[166] = (vX_[166] - (vX_[932] * vX_[98] + vX_[642] * vX_[561]) - (vX_[949] * vX_[202] + vX_[485] * vX_[872]) - (vX_[946] * vX_[821] + vX_[914] * vX_[563]) - vX_[618] * vX_[211]) / vX_[976];
+ vX_[630] = vX_[258] * vX_[461] + vX_[813] * vX_[105];
+ vX_[106] = vX_[630] - (vX_[913] * vX_[754] + vX_[114] * vX_[938]) - (vX_[933] * vX_[952] + vX_[487] * vX_[937]) - (vX_[722] * vX_[122] + vX_[905] * vX_[947]);
+ vX_[493] = (vX_[487] - vX_[934] * vX_[492]) / vX_[573];
+ vX_[742] = (vX_[742] - (vX_[689] * vX_[493] + vX_[113] * vX_[934]) - vX_[935] * vX_[542]) / vX_[570];
+ vX_[484] = (vX_[484] - (vX_[687] * vX_[742] + vX_[124] * vX_[935]) - (vX_[480] * vX_[493] + vX_[145] * vX_[934]) - vX_[936] * vX_[539]) / vX_[572];
+ vX_[630] = (vX_[630] - (vX_[932] * vX_[742] + vX_[642] * vX_[935]) - (vX_[949] * vX_[493] + vX_[485] * vX_[934]) - (vX_[946] * vX_[484] + vX_[914] * vX_[936]) - vX_[919] * vX_[211]) / vX_[976];
+ vX_[954] = vX_[954] - (vX_[913] * vX_[742] + vX_[114] * vX_[935]) - (vX_[933] * vX_[493] + vX_[487] * vX_[934]) - (vX_[722] * vX_[484] + vX_[905] * vX_[936]) - (vX_[948] * vX_[630] + vX_[106] * vX_[919]);
+ vX_[544] = (vX_[24] * vX_[794] + vX_[940] * vX_[723] + vX_[86] * vX_[163] + vX_[813] * vX_[699] - (vX_[913] * vX_[98] + vX_[114] * vX_[561]) - (vX_[933] * vX_[202] + vX_[487] * vX_[872]) - (vX_[722] * vX_[821] + vX_[905] * vX_[563]) - (vX_[948] * vX_[166] + vX_[106] * vX_[618]) - vX_[899] * vX_[954]) / vX_[973];
+ vX_[147] = vX_[571] * vX_[258] + vX_[147] * vX_[88] + vX_[567] * vX_[813] + vX_[481] * vX_[86];
+ vX_[606] = vX_[915] * vX_[813] + vX_[162] * vX_[86] + vX_[917] * vX_[258] + vX_[138] * vX_[88] + vX_[606];
+ vX_[138] = vX_[147] - (vX_[945] * vX_[107] + vX_[606] * vX_[688]);
+ vX_[490] = vX_[545] * vX_[813] + vX_[490] * vX_[86] + vX_[631] * vX_[258] + vX_[486] * vX_[88] + vX_[485];
+ vX_[486] = vX_[490] - (vX_[977] * vX_[168] + vX_[138] * vX_[586]) - (vX_[945] * vX_[125] + vX_[606] * vX_[574]);
+ vX_[461] = 0 - vX_[940] * vX_[105] - vX_[813] * vX_[461];
+ vX_[545] = vX_[461] - (vX_[977] * vX_[754] + vX_[138] * vX_[938]) - (vX_[945] * vX_[952] + vX_[606] * vX_[937]) - (vX_[474] * vX_[122] + vX_[486] * vX_[947]);
+ vX_[906] = vX_[953] * vX_[813] + vX_[916] * vX_[86] + vX_[956] * vX_[940] + vX_[906] * vX_[24];
+ vX_[916] = vX_[906] - (vX_[977] * vX_[742] + vX_[138] * vX_[935]) - (vX_[945] * vX_[493] + vX_[606] * vX_[934]) - (vX_[474] * vX_[484] + vX_[486] * vX_[936]) - (vX_[984] * vX_[630] + vX_[545] * vX_[919]);
+ vX_[492] = (vX_[606] - vX_[978] * vX_[492]) / vX_[573];
+ vX_[147] = (vX_[147] - (vX_[689] * vX_[492] + vX_[113] * vX_[978]) - vX_[979] * vX_[542]) / vX_[570];
+ vX_[490] = (vX_[490] - (vX_[687] * vX_[147] + vX_[124] * vX_[979]) - (vX_[480] * vX_[492] + vX_[145] * vX_[978]) - vX_[980] * vX_[539]) / vX_[572];
+ vX_[461] = (vX_[461] - (vX_[932] * vX_[147] + vX_[642] * vX_[979]) - (vX_[949] * vX_[492] + vX_[485] * vX_[978]) - (vX_[946] * vX_[490] + vX_[914] * vX_[980]) - vX_[985] * vX_[211]) / vX_[976];
+ vX_[906] = (vX_[906] - (vX_[913] * vX_[147] + vX_[114] * vX_[979]) - (vX_[933] * vX_[492] + vX_[487] * vX_[978]) - (vX_[722] * vX_[490] + vX_[905] * vX_[980]) - (vX_[948] * vX_[461] + vX_[106] * vX_[985]) - vX_[986] * vX_[954]) / vX_[973];
+ vX_[916] = (vX_[86] * vX_[794] + vX_[813] * vX_[723] + vX_[616] * vX_[163] + vX_[133] * vX_[699] - (vX_[977] * vX_[98] + vX_[138] * vX_[561]) - (vX_[945] * vX_[202] + vX_[606] * vX_[872]) - (vX_[474] * vX_[821] + vX_[486] * vX_[563]) - (vX_[984] * vX_[166] + vX_[545] * vX_[618]) - (vX_[955] * vX_[544] + vX_[916] * vX_[899]) - vX_[568] * (vX_[944] - (vX_[977] * vX_[147] + vX_[138] * vX_[979]) - (vX_[945] * vX_[492] + vX_[606] * vX_[978]) - (vX_[474] * vX_[490] + vX_[486] * vX_[980]) - (vX_[984] * vX_[461] + vX_[545] * vX_[985]) - (vX_[955] * vX_[906] + vX_[916] * vX_[986]))) / vX_[975];
+ jac[563] = - vX_[916];
+ vX_[906] = vX_[544] - (vX_[986] * vX_[916] + vX_[906] * vX_[568]);
+ jac[562] = - vX_[906];
+ vX_[461] = vX_[166] - (vX_[985] * vX_[916] + vX_[461] * vX_[568]) - (vX_[919] * vX_[906] + vX_[630] * vX_[358]);
+ jac[561] = - vX_[461];
+ vX_[490] = vX_[821] - (vX_[936] * vX_[906] + vX_[484] * vX_[358]) - (vX_[947] * vX_[461] + vX_[122] * vX_[912]) - (vX_[980] * vX_[916] + vX_[490] * vX_[568]);
+ jac[560] = - vX_[490];
+ vX_[147] = vX_[98] - (vX_[938] * vX_[461] + vX_[754] * vX_[912]) - (vX_[586] * vX_[490] + vX_[168] * vX_[452]) - (vX_[935] * vX_[906] + vX_[742] * vX_[358]) - (vX_[979] * vX_[916] + vX_[147] * vX_[568]);
+ jac[558] = vX_[574] * vX_[490] + vX_[125] * vX_[452] + vX_[688] * vX_[147] + vX_[107] * vX_[885] + vX_[937] * vX_[461] + vX_[952] * vX_[912] + vX_[934] * vX_[906] + vX_[493] * vX_[358] + vX_[978] * vX_[916] + vX_[492] * vX_[568] - vX_[202];
+ jac[559] = - vX_[147];
+ vX_[147] = -1 * jac[558];
+ vX_[490] = vX_[440] * jac[560] + vX_[360] * jac[559];
+ vX_[461] = vX_[360] * jac[560] + vX_[441] * jac[559];
+ vX_[906] = -1 * jac[561];
+ vX_[916] = 0.207 * jac[560] + vX_[906];
+ vX_[492] = vX_[610] * jac[560] + vX_[611] * jac[559] + vX_[438] * jac[558] + vX_[359] * jac[563] + vX_[612] * jac[562];
+ jac[564] = (0 - vX_[435] * vX_[147] - vX_[472] * vX_[490] - vX_[430] * vX_[461] - vX_[457] * vX_[916] - vX_[449] * (vX_[443] * jac[560] + vX_[442] * jac[559] + vX_[596] * jac[558] + vX_[440] * jac[563] + vX_[597] * jac[562]) - vX_[433] * vX_[492]) / vX_[435];
+ vX_[493] = -1 * vX_[490];
+ vX_[952] = vX_[147] + jac[564];
+ vX_[125] = vX_[361] * vX_[916] + vX_[625] * vX_[492] + vX_[592] * vX_[490];
+ vX_[492] = vX_[388] * vX_[916] + vX_[361] * vX_[492] + vX_[409] * vX_[490];
+ jac[565] = (0 - vX_[385] * vX_[493] - vX_[392] * (vX_[361] * vX_[952] + vX_[389] * vX_[461]) - vX_[373] * (vX_[388] * vX_[952] + vX_[361] * vX_[461]) - vX_[383] * vX_[125] - vX_[396] * vX_[492]) / vX_[385];
+ vX_[493] = vX_[493] + jac[565];
+ jac[566] = (0 - 0.1104774 * (vX_[362] * vX_[125] + vX_[636] * vX_[492] + vX_[637] * vX_[493]) - -0.0004405 * (vX_[364] * vX_[125] + vX_[362] * vX_[492] + vX_[367] * vX_[493]) - 0.026181 * vX_[493]) / 0.026181;
+ vX_[493] = vX_[318] * jac[560] + vX_[239] * jac[559];
+ vX_[492] = vX_[320] * jac[560] + vX_[318] * jac[559];
+ vX_[125] = 0.207 * jac[560] + jac[561];
+ vX_[952] = vX_[830] * jac[560] + vX_[831] * jac[559] + vX_[317] * jac[558] + vX_[832] * jac[563] + vX_[318] * jac[562];
+ jac[567] = (0 - vX_[314] * jac[558] - vX_[350] * vX_[493] - vX_[309] * vX_[492] - vX_[335] * vX_[125] - vX_[327] * (vX_[321] * jac[560] + vX_[319] * jac[559] + vX_[845] * jac[558] + vX_[318] * jac[563] + vX_[239] * jac[562]) - vX_[312] * vX_[952]) / vX_[314];
+ vX_[461] = jac[558] + jac[567];
+ vX_[916] = vX_[850] * vX_[125] + vX_[851] * vX_[952] + vX_[852] * vX_[493];
+ vX_[952] = vX_[267] * vX_[125] + vX_[240] * vX_[952] + vX_[289] * vX_[493];
+ jac[568] = (0 - vX_[264] * vX_[493] - vX_[271] * (vX_[287] * vX_[461] + vX_[268] * vX_[492]) - vX_[252] * (vX_[268] * vX_[461] + vX_[240] * vX_[492]) - vX_[262] * vX_[916] - vX_[275] * vX_[952]) / vX_[264];
+ vX_[493] = vX_[493] + jac[568];
+ jac[569] = (0 - 0.1104774 * (vX_[241] * vX_[916] + vX_[854] * vX_[952] + vX_[856] * vX_[493]) - -0.0004405 * (vX_[243] * vX_[916] + vX_[241] * vX_[952] + vX_[246] * vX_[493]) - 0.026181 * vX_[493]) / 0.026181;
+ vX_[493] = vX_[198] * jac[560] + vX_[128] * jac[559];
+ vX_[952] = vX_[128] * jac[560] + vX_[199] * jac[559];
+ vX_[906] = 0.207 * jac[560] + vX_[906];
+ vX_[916] = vX_[762] * jac[560] + vX_[763] * jac[559] + vX_[196] * jac[558] + vX_[764] * jac[563] + vX_[765] * jac[562];
+ jac[570] = (0 - vX_[193] * vX_[147] - vX_[230] * vX_[493] - vX_[188] * vX_[952] - vX_[215] * vX_[906] - vX_[207] * (vX_[201] * jac[560] + vX_[200] * jac[559] + vX_[701] * jac[558] + vX_[198] * jac[563] + vX_[127] * jac[562]) - vX_[191] * vX_[916]) / vX_[193];
+ vX_[461] = -1 * vX_[493];
+ vX_[147] = vX_[147] + jac[570];
+ vX_[492] = vX_[129] * vX_[906] + vX_[772] * vX_[916] + vX_[773] * vX_[493];
+ vX_[916] = vX_[149] * vX_[906] + vX_[129] * vX_[916] + vX_[167] * vX_[493];
+ jac[571] = (0 - vX_[146] * vX_[461] - 2.1e-05 * (vX_[129] * vX_[147] + vX_[150] * vX_[952]) - -0.000102 * (vX_[149] * vX_[147] + vX_[129] * vX_[952]) - vX_[144] * vX_[492] - vX_[154] * vX_[916]) / vX_[146];
+ vX_[461] = vX_[461] + jac[571];
+ jac[572] = (0 - 0.110125 * (vX_[132] * vX_[492] + vX_[782] * vX_[916] + vX_[783] * vX_[461]) - 0.000881 * (vX_[130] * vX_[492] + vX_[132] * vX_[916] + vX_[131] * vX_[461]) - 0.026181 * vX_[461]) / 0.026181;
+ vX_[161] = vX_[86] * jac[560] + vX_[813] * vX_[532] + vX_[24] * jac[559] + vX_[940] * vX_[530] + vX_[161];
+ vX_[185] = vX_[88] * jac[560] + vX_[258] * vX_[532] + vX_[86] * jac[559] + vX_[813] * vX_[530] + vX_[185];
+ vX_[258] = 0.207 * jac[560] + jac[561];
+ vX_[216] = vX_[649] * jac[560] + vX_[682] * vX_[532] + vX_[608] * jac[559] + vX_[205] * vX_[530] + vX_[85] * jac[558] + vX_[170] * vX_[760] + vX_[616] * jac[563] + vX_[133] * vX_[951] + vX_[86] * jac[562] + vX_[813] * vX_[534] + vX_[216];
+ jac[573] = (vX_[795] - vX_[82] * jac[558] - vX_[118] * vX_[161] - vX_[77] * vX_[185] - vX_[103] * vX_[258] - vX_[95] * (vX_[89] * jac[560] + vX_[787] * vX_[532] + vX_[87] * jac[559] + vX_[159] * vX_[530] + vX_[703] * jac[558] + vX_[233] * vX_[760] + vX_[86] * jac[563] + vX_[813] * vX_[951] + vX_[24] * jac[562] + vX_[940] * vX_[534] + vX_[331]) - vX_[80] * vX_[216]) / vX_[82];
+ vX_[795] = jac[558] + jac[573];
+ vX_[698] = vX_[708] * vX_[258] + vX_[709] * vX_[216] + vX_[710] * vX_[161] + vX_[698];
+ vX_[216] = vX_[10] * vX_[258] + vX_[33] * vX_[216] + vX_[57] * vX_[161] + vX_[505];
+ jac[574] = (vX_[799] - vX_[17] * vX_[161] - vX_[6] * (vX_[55] * vX_[795] + vX_[38] * vX_[185] + vX_[137]) - vX_[23] * (vX_[38] * vX_[795] + vX_[33] * vX_[185] + vX_[817]) - vX_[15] * vX_[698] - vX_[43] * vX_[216]) / vX_[17];
+ vX_[161] = vX_[161] + jac[574];
+ jac[575] = (vX_[523] - 0.1104774 * (vX_[20] * vX_[698] + vX_[712] * vX_[216] + vX_[714] * vX_[161] + vX_[475]) - 0.0004405 * (vX_[37] * vX_[698] + vX_[20] * vX_[216] + vX_[34] * vX_[161] + vX_[134]) - 0.026181 * vX_[161]) / 0.026181;
+ vX_[161] = cos(x_in[16]);
+ vX_[216] = - vX_[161];
+ vX_[698] = -1 * sin(x_in[16]);
+ vX_[134] = 0.08 * vX_[161];
+ vX_[475] = vX_[216] * vX_[693] + vX_[698] * vX_[645] + vX_[134] * vX_[587];
+ vX_[523] = vX_[697] * vX_[475];
+ vX_[795] = - vX_[161];
+ vX_[185] = vX_[698] * vX_[659] + vX_[795] * vX_[640];
+ vX_[817] = vX_[185] * vX_[705];
+ vX_[137] = - vX_[698];
+ vX_[799] = vX_[795] * vX_[659] + vX_[137] * vX_[640];
+ vX_[258] = vX_[700] * vX_[799] + vX_[185] * vX_[696];
+ vX_[505] = vX_[185] * vX_[697];
+ vX_[331] = - vX_[698];
+ vX_[161] = - vX_[161];
+ vX_[233] = 0.08 * vX_[698];
+ vX_[159] = vX_[331] * vX_[693] + vX_[161] * vX_[645] + vX_[233] * vX_[587];
+ vX_[787] = vX_[37] * vX_[159] + vX_[20] * vX_[475];
+ vX_[813] = vX_[707] * vX_[787];
+ vX_[940] = -0.35 * vX_[799];
+ vX_[133] = vX_[20] * vX_[185] + vX_[37] * vX_[799];
+ vX_[170] = vX_[718] * vX_[940] + vX_[133] * vX_[706];
+ vX_[205] = vX_[36] * vX_[185] + vX_[20] * vX_[799];
+ vX_[682] = vX_[718] * vX_[205] + vX_[133] * vX_[702];
+ vX_[461] = vX_[20] * vX_[159] + vX_[712] * vX_[475];
+ vX_[940] = vX_[702] * vX_[940] + vX_[205] * vX_[706] - vX_[707] * vX_[461];
+ vX_[916] = 0.1104774 * (vX_[813] - vX_[170]) + 0.025941 * vX_[682] - -0.0004405 * vX_[940];
+ vX_[492] = 0 - vX_[916];
+ vX_[147] = vX_[205] * vX_[707];
+ vX_[952] = (- vX_[787]) * x_in[35];
+ vX_[906] = vX_[461] * x_in[35];
+ vX_[493] = vX_[205] * x_in[35];
+ vX_[125] = vX_[718] * vX_[133] + vX_[133] * vX_[718];
+ vX_[490] = -0.881 * (vX_[170] - vX_[813]) + 0.1104774 * vX_[682] + 8.81e-05 * vX_[147] + 0.414812462825713 * vX_[952] + -0.00185880198235362 * vX_[906] + -8.81e-05 * vX_[493] + (0.1104774 * vX_[492]) / 0.026181 - -0.0004405 * vX_[125];
+ vX_[107] = vX_[133] * vX_[707];
+ vX_[202] = (- vX_[133]) * x_in[35];
+ vX_[742] = vX_[702] * vX_[205] + vX_[205] * vX_[702];
+ vX_[682] = 0.881 * vX_[940] + 8.81e-05 * vX_[107] + -0.0004405 * vX_[682] + -0.00185880198235362 * vX_[952] + 0.880992588508842 * vX_[906] + 8.81e-05 * vX_[202] + (0.0004405 * vX_[492]) / 0.026181 - 0.1104774 * vX_[742];
+ vX_[754] = vX_[799] * vX_[705] - vX_[697] * vX_[159];
+ vX_[168] = vX_[799] * vX_[697];
+ vX_[98] = vX_[696] * vX_[799] + vX_[799] * vX_[696];
+ vX_[484] = vX_[700] * vX_[185] + vX_[185] * vX_[700];
+ vX_[916] = 0.47422804 * (vX_[523] - vX_[817]) + 0.081641 * vX_[258] + 2.1e-05 * vX_[505] + (0.026181 * vX_[492]) / 0.026181 + vX_[916] + vX_[714] * vX_[490] + vX_[34] * vX_[682] - 0.0825825 * vX_[754] - -0.000102 * vX_[168] - -0.007418 * (vX_[98] - vX_[484]);
+ vX_[122] = 0 - vX_[916];
+ vX_[821] = (- vX_[185]) * x_in[34];
+ vX_[630] = vX_[799] * x_in[34];
+ vX_[166] = (- vX_[475]) * x_in[34];
+ vX_[544] = vX_[159] * x_in[34];
+ vX_[817] = -3.146 * (vX_[817] - vX_[523]) + 0.47422804 * vX_[258] + vX_[20] * vX_[490] + vX_[37] * vX_[682] + vX_[31] * vX_[821] + vX_[13] * vX_[630] + vX_[66] * vX_[166] + vX_[68] * vX_[544] + (vX_[15] * vX_[122]) / vX_[17] - 0.0825825 * vX_[484];
+ vX_[754] = 3.146 * vX_[754] + 0.0825825 * vX_[258] + vX_[712] * vX_[490] + vX_[20] * vX_[682] + vX_[46] * vX_[821] + vX_[45] * vX_[630] + vX_[68] * vX_[166] + vX_[67] * vX_[544] + (vX_[43] * vX_[122]) / vX_[17] - 0.47422804 * vX_[98];
+ vX_[682] = 0.08 * vX_[137];
+ vX_[490] = vX_[134] * vX_[67] - vX_[682] * vX_[68];
+ vX_[523] = vX_[134] * vX_[68] - vX_[682] * vX_[66];
+ vX_[70] = vX_[69] * vX_[134] + vX_[490] * vX_[57] - (vX_[70] * vX_[682] + vX_[523] * vX_[56]);
+ vX_[69] = vX_[45] * vX_[134] - vX_[13] * vX_[682];
+ vX_[545] = vX_[46] * vX_[134] - vX_[31] * vX_[682];
+ vX_[486] = - vX_[545];
+ vX_[138] = vX_[38] * vX_[69] + vX_[795] * vX_[115] + vX_[33] * vX_[486] + vX_[698] * vX_[117];
+ vX_[606] = - 4.027 * vX_[134];
+ vX_[25] = 0 - vX_[25] * vX_[134] - (vX_[58] * vX_[134] + vX_[606] * vX_[57]) - vX_[70];
+ vX_[58] = vX_[42] * vX_[682] + vX_[58] * vX_[682] + vX_[606] * vX_[56] - vX_[29] * vX_[134];
+ vX_[75] = vX_[38] * vX_[25] + vX_[795] * vX_[75] + vX_[55] * vX_[58] + vX_[137] * vX_[59];
+ vX_[944] = 4.027 * vX_[682];
+ vX_[682] = vX_[60] * vX_[682] + vX_[63] * vX_[682] + vX_[944] * vX_[56] - vX_[70];
+ vX_[58] = vX_[38] * vX_[58] + vX_[795] * vX_[59] + vX_[55] * vX_[682] + vX_[137] * vX_[72];
+ vX_[72] = vX_[76] * vX_[795] + vX_[75] * vX_[38] + vX_[73] * vX_[137] + vX_[58] * vX_[55];
+ vX_[59] = vX_[70] + vX_[72];
+ vX_[63] = (vX_[138] - vX_[482] * vX_[59]) / vX_[82];
+ vX_[60] = vX_[70] - (vX_[118] * vX_[63] + vX_[138] * vX_[482]);
+ vX_[58] = vX_[73] * vX_[795] + vX_[58] * vX_[38] + vX_[76] * vX_[698] + vX_[75] * vX_[33];
+ vX_[63] = vX_[116] * vX_[795] + 2. * vX_[545] * vX_[38] + vX_[537] * vX_[698] + 2. * vX_[69] * vX_[33] + vX_[55] * vX_[69] + vX_[137] * vX_[115] + vX_[38] * vX_[486] + vX_[795] * vX_[117] - (vX_[77] * vX_[63] + vX_[58] * vX_[482]);
+ vX_[486] = - vX_[944];
+ vX_[545] = vX_[33] * vX_[486] + vX_[698] * vX_[92] + vX_[38] * vX_[606] + vX_[795] * vX_[93];
+ vX_[69] = (vX_[545] - vX_[96] * vX_[59]) / vX_[82];
+ vX_[537] = -(vX_[118] * vX_[69] + vX_[138] * vX_[96]);
+ vX_[944] = vX_[523] + vX_[944];
+ vX_[490] = vX_[490] + vX_[606];
+ vX_[486] = vX_[38] * vX_[486] + vX_[795] * vX_[92] + vX_[55] * vX_[606] + vX_[137] * vX_[93];
+ vX_[606] = vX_[795] * vX_[45] + vX_[137] * vX_[46];
+ vX_[93] = vX_[795] * vX_[13] + vX_[137] * vX_[31];
+ vX_[92] = vX_[78] * vX_[698] + vX_[606] * vX_[33] + vX_[79] * vX_[795] + vX_[93] * vX_[38];
+ vX_[523] = (vX_[92] - vX_[83] * vX_[59]) / vX_[82];
+ vX_[116] = vX_[91] * vX_[795] + vX_[944] * vX_[38] + vX_[121] * vX_[698] + vX_[490] * vX_[33] + vX_[486] - (vX_[118] * vX_[523] + vX_[138] * vX_[83]);
+ vX_[461] = vX_[718] * vX_[461] + vX_[133] * vX_[715] - (vX_[702] * vX_[787] + vX_[205] * vX_[721]);
+ vX_[940] = 8.81e-05 * vX_[940] + 8.81e-05 * vX_[906] + 0.026409 * vX_[202] - 0.1104774 * vX_[461] - 0.025713 * vX_[107];
+ vX_[170] = -0.0004405 * vX_[461] + 8.81e-05 * (vX_[170] - vX_[813]) + -0.000227999999999999 * vX_[147] + -8.81e-05 * vX_[952] + 0.000468 * vX_[493];
+ vX_[461] = 0.881 * vX_[461] + 0.1104774 * vX_[107] + -0.0004405 * vX_[147] + -0.1104774 * vX_[202] + -0.0004405 * vX_[493] - 8.81e-05 * (vX_[742] + vX_[125]);
+ vX_[159] = vX_[700] * vX_[159] + vX_[185] * vX_[711] - (vX_[696] * vX_[475] + vX_[799] * vX_[713]);
+ vX_[484] = -0.007418 * vX_[168] + -0.000102 * (0 - vX_[484]) + vX_[20] * vX_[940] + vX_[37] * vX_[170] + -0.35 * vX_[461] + vX_[62] * vX_[821] + vX_[54] * vX_[630] + vX_[31] * vX_[166] + vX_[46] * vX_[544] + (vX_[6] * vX_[122]) / vX_[17] - 0.47422804 * vX_[159] - 0.084376 * vX_[505] - 2.1e-05 * vX_[258];
+ vX_[170] = 0.002735 * vX_[168] + 0.0825825 * vX_[159] + -0.000102 * vX_[258] + vX_[36] * vX_[940] + vX_[20] * vX_[170] + vX_[54] * vX_[821] + vX_[61] * vX_[630] + vX_[13] * vX_[166] + vX_[45] * vX_[544] + (vX_[23] * vX_[122]) / vX_[17] - -0.007418 * vX_[505] - 2.1e-05 * (0 - vX_[98]);
+ vX_[159] = 0.47422804 * vX_[505] + 3.146 * vX_[159] + 0.0825825 * vX_[168] + vX_[461] + vX_[29] * vX_[821] + vX_[42] * vX_[630];
+ vX_[461] = vX_[55] * vX_[484] + vX_[137] * vX_[720] + vX_[38] * vX_[170] + vX_[795] * vX_[716] + 0.08 * vX_[159];
+ vX_[168] = 0 - vX_[461];
+ vX_[916] = (vX_[17] * vX_[122]) / vX_[17] + vX_[916] + vX_[710] * vX_[817] + vX_[233] * vX_[741] + vX_[57] * vX_[754] + vX_[134] * vX_[732] + vX_[60] * vX_[748] + vX_[63] * vX_[749] + vX_[537] * vX_[751] + vX_[116] * vX_[752] + (vX_[118] * vX_[168] + vX_[138] * vX_[727] - vX_[911] * vX_[59]) / vX_[82];
+ vX_[72] = vX_[682] + vX_[25] + vX_[70] - vX_[72] - (vX_[77] * (vX_[58] - vX_[491] * vX_[59]) / vX_[82] + vX_[58] * vX_[491]);
+ vX_[486] = 0 - vX_[486] - (vX_[77] * vX_[69] + vX_[58] * vX_[96]);
+ vX_[682] = vX_[698] * vX_[13] + vX_[795] * vX_[31];
+ vX_[25] = vX_[698] * vX_[45] + vX_[795] * vX_[46];
+ vX_[70] = vX_[41] * vX_[795] + vX_[682] * vX_[38] + vX_[47] * vX_[698] + vX_[25] * vX_[33] - (vX_[77] * vX_[523] + vX_[58] * vX_[83]);
+ vX_[170] = vX_[38] * vX_[484] + vX_[795] * vX_[720] + vX_[33] * vX_[170] + vX_[698] * vX_[716] + vX_[63] * vX_[748] + vX_[72] * vX_[749] + vX_[486] * vX_[751] + vX_[70] * vX_[752] + (vX_[77] * vX_[168] + vX_[58] * vX_[727] - vX_[746] * vX_[59]) / vX_[82];
+ vX_[93] = vX_[78] * vX_[795] + vX_[606] * vX_[38] + vX_[79] * vX_[137] + vX_[93] * vX_[55];
+ vX_[606] = (vX_[93] - vX_[104] * vX_[59]) / vX_[82];
+ vX_[490] = vX_[91] * vX_[137] + vX_[944] * vX_[55] + vX_[121] * vX_[795] + vX_[490] * vX_[38] - vX_[545] - (vX_[118] * vX_[606] + vX_[138] * vX_[104]);
+ vX_[25] = vX_[41] * vX_[137] + vX_[682] * vX_[55] + vX_[47] * vX_[795] + vX_[25] * vX_[38] - (vX_[77] * vX_[606] + vX_[58] * vX_[104]);
+ vX_[682] = -(vX_[95] * vX_[606] + vX_[545] * vX_[104]);
+ vX_[99] = vX_[795] * vX_[68] + vX_[137] * vX_[99];
+ vX_[101] = vX_[795] * vX_[101] + vX_[137] * vX_[68];
+ vX_[47] = vX_[100] * vX_[795] + vX_[99] * vX_[38] + vX_[102] * vX_[698] + vX_[101] * vX_[33] - (vX_[80] * vX_[606] + vX_[92] * vX_[104]);
+ vX_[41] = vX_[708] * vX_[817] + vX_[331] * vX_[741] + vX_[10] * vX_[754] + vX_[216] * vX_[732] + vX_[490] * vX_[748] + vX_[25] * vX_[749] + vX_[682] * vX_[751] + vX_[47] * vX_[752] + (vX_[103] * vX_[168] + vX_[93] * vX_[727] - vX_[479] * vX_[59]) / vX_[82];
+ vX_[944] = -(vX_[95] * vX_[69] + vX_[545] * vX_[96]);
+ vX_[69] = -(vX_[80] * vX_[69] + vX_[92] * vX_[96]);
+ vX_[159] = vX_[159] + vX_[537] * vX_[748] + vX_[486] * vX_[749] + vX_[944] * vX_[751] + vX_[69] * vX_[752] + (vX_[95] * vX_[168] + vX_[545] * vX_[727] - vX_[753] * vX_[59]) / vX_[82];
+ vX_[101] = vX_[102] * vX_[795] + vX_[101] * vX_[38] + vX_[100] * vX_[137] + vX_[99] * vX_[55];
+ vX_[523] = 0 - vX_[101] - (vX_[80] * vX_[523] + vX_[92] * vX_[83]);
+ vX_[754] = vX_[709] * vX_[817] + vX_[161] * vX_[741] + vX_[33] * vX_[754] + vX_[698] * vX_[732] + vX_[116] * vX_[748] + vX_[70] * vX_[749] + vX_[69] * vX_[751] + vX_[523] * vX_[752] + (vX_[80] * vX_[168] + vX_[92] * vX_[727] - vX_[744] * vX_[59]) / vX_[82];
+ vX_[101] = vX_[101] - (vX_[103] * vX_[606] + vX_[93] * vX_[104]);
+ vX_[606] = vX_[110] * vX_[101] - vX_[90] * vX_[47];
+ vX_[817] = vX_[110] * vX_[47] - vX_[90] * vX_[523];
+ vX_[732] = vX_[85] * vX_[523] - vX_[110] * vX_[69];
+ vX_[741] = vX_[85] * vX_[69] - vX_[110] * vX_[944];
+ vX_[99] = vX_[732] * vX_[85] - vX_[741] * vX_[110];
+ vX_[60] = 2. * vX_[490] * vX_[110] + vX_[60] + vX_[606] * vX_[110] - 2. * vX_[116] * vX_[90] - vX_[817] * vX_[90] - vX_[99];
+ vX_[102] = vX_[90] * vX_[944] - vX_[85] * vX_[682];
+ vX_[100] = vX_[90] * vX_[682] - vX_[85] * vX_[101];
+ vX_[72] = 2. * vX_[486] * vX_[90] + vX_[72] + vX_[102] * vX_[90] - 2. * vX_[25] * vX_[85] - vX_[100] * vX_[85] - vX_[99];
+ vX_[121] = vX_[90] * vX_[69];
+ vX_[91] = vX_[85] * vX_[47];
+ vX_[79] = vX_[121] - vX_[91];
+ vX_[63] = vX_[537] * vX_[90] + vX_[63] + vX_[25] * vX_[110] + vX_[100] * vX_[110] - vX_[70] * vX_[90] - vX_[490] * vX_[85] - vX_[79] * vX_[90];
+ vX_[78] = vX_[86] * vX_[63];
+ vX_[484] = (vX_[86] * vX_[72] + vX_[24] * vX_[63]) * vX_[86] + (vX_[78] + vX_[24] * vX_[60]) * vX_[24];
+ vX_[78] = vX_[88] * vX_[72] + vX_[78];
+ vX_[63] = vX_[88] * vX_[63] + vX_[86] * vX_[60];
+ vX_[716] = vX_[78] * vX_[88] + vX_[63] * vX_[86];
+ vX_[72] = vX_[60] + vX_[72] + vX_[99] - vX_[484] - vX_[716];
+ vX_[461] = ((vX_[82] * vX_[168] + vX_[59] * vX_[727] - vX_[726] * vX_[59]) / vX_[82] + vX_[461] + vX_[703] * vX_[159] + vX_[85] * vX_[754] - vX_[872] * vX_[72]) / vX_[573];
+ vX_[60] = vX_[110] * vX_[682];
+ vX_[121] = vX_[60] - vX_[121];
+ vX_[720] = vX_[537] * vX_[110] + vX_[121] * vX_[110] - vX_[116] * vX_[85] - vX_[817] * vX_[85];
+ vX_[505] = vX_[70] * vX_[85] + vX_[79] * vX_[85] - vX_[486] * vX_[110] - vX_[102] * vX_[110];
+ vX_[940] = vX_[88] * vX_[720] + vX_[86] * vX_[505];
+ vX_[98] = (vX_[940] - vX_[688] * vX_[72]) / vX_[573];
+ vX_[484] = vX_[99] + vX_[484] - (vX_[689] * vX_[98] + vX_[940] * vX_[688]);
+ vX_[258] = (vX_[24] * vX_[916] + vX_[86] * vX_[170] + vX_[87] * vX_[159] + vX_[608] * vX_[754] - (vX_[689] * vX_[461] + vX_[940] * vX_[872]) - vX_[561] * vX_[484]) / vX_[570];
+ vX_[63] = vX_[78] * vX_[86] + vX_[63] * vX_[24];
+ vX_[505] = 0 - vX_[24] * vX_[505] - vX_[86] * vX_[720];
+ vX_[720] = vX_[63] - (vX_[480] * vX_[98] + vX_[505] * vX_[688]);
+ vX_[78] = (vX_[505] - vX_[574] * vX_[72]) / vX_[573];
+ vX_[63] = (vX_[63] - (vX_[689] * vX_[78] + vX_[940] * vX_[574]) - vX_[586] * vX_[484]) / vX_[570];
+ vX_[716] = vX_[99] + vX_[716] - (vX_[687] * vX_[63] + vX_[720] * vX_[586]) - (vX_[480] * vX_[78] + vX_[505] * vX_[574]);
+ vX_[170] = (vX_[86] * vX_[916] + vX_[88] * vX_[170] + 0.207 * vX_[41] + vX_[89] * vX_[159] + vX_[649] * vX_[754] - (vX_[687] * vX_[258] + vX_[720] * vX_[561]) - (vX_[480] * vX_[461] + vX_[505] * vX_[872]) - vX_[563] * vX_[716]) / vX_[572];
+ vX_[102] = vX_[102] + vX_[486];
+ vX_[60] = vX_[91] - vX_[60];
+ vX_[121] = vX_[537] + vX_[121] - vX_[60];
+ vX_[537] = vX_[86] * vX_[102] + vX_[24] * vX_[121];
+ vX_[79] = vX_[70] + vX_[79] - vX_[60];
+ vX_[817] = vX_[817] + vX_[116];
+ vX_[116] = vX_[86] * vX_[79] + vX_[24] * vX_[817];
+ vX_[70] = vX_[537] * vX_[24] + vX_[116] * vX_[86] + vX_[60];
+ vX_[606] = vX_[606] + vX_[490];
+ vX_[741] = vX_[741] + vX_[606];
+ vX_[100] = vX_[100] + vX_[25];
+ vX_[732] = vX_[732] + vX_[100];
+ vX_[606] = - vX_[606];
+ vX_[25] = vX_[88] * vX_[606] + vX_[86] * vX_[100];
+ vX_[490] = vX_[741] * vX_[24] + vX_[732] * vX_[86] - vX_[25];
+ vX_[91] = vX_[70] - (vX_[933] * vX_[98] + vX_[490] * vX_[688]);
+ vX_[817] = vX_[88] * vX_[79] + vX_[86] * vX_[817];
+ vX_[121] = vX_[88] * vX_[102] + vX_[86] * vX_[121];
+ vX_[102] = vX_[817] * vX_[86] + vX_[121] * vX_[24];
+ vX_[79] = vX_[102] - (vX_[913] * vX_[63] + vX_[91] * vX_[586]) - (vX_[933] * vX_[78] + vX_[490] * vX_[574]);
+ vX_[486] = vX_[25] - (vX_[949] * vX_[98] + vX_[60] * vX_[688]);
+ vX_[606] = vX_[86] * vX_[606] + vX_[24] * vX_[100];
+ vX_[100] = - vX_[606];
+ vX_[916] = vX_[100] - (vX_[932] * vX_[63] + vX_[486] * vX_[586]) - (vX_[949] * vX_[78] + vX_[60] * vX_[574]);
+ vX_[944] = vX_[944] - vX_[101];
+ vX_[523] = vX_[523] - vX_[101];
+ vX_[99] = vX_[86] * vX_[69];
+ vX_[799] = (vX_[86] * vX_[523] + vX_[24] * vX_[69]) * vX_[86] + (vX_[99] + vX_[24] * vX_[944]) * vX_[24];
+ vX_[99] = vX_[88] * vX_[523] + vX_[99];
+ vX_[69] = vX_[88] * vX_[69] + vX_[86] * vX_[944];
+ vX_[185] = vX_[99] * vX_[88] + vX_[69] * vX_[86];
+ vX_[475] = (vX_[60] - vX_[937] * vX_[72]) / vX_[573];
+ vX_[25] = (vX_[25] - (vX_[689] * vX_[475] + vX_[940] * vX_[937]) - vX_[938] * vX_[484]) / vX_[570];
+ vX_[100] = (vX_[100] - (vX_[687] * vX_[25] + vX_[720] * vX_[938]) - (vX_[480] * vX_[475] + vX_[505] * vX_[937]) - vX_[947] * vX_[716]) / vX_[572];
+ vX_[523] = vX_[944] + vX_[523] + vX_[101] - vX_[799] - vX_[185] - (vX_[932] * vX_[25] + vX_[486] * vX_[938]) - (vX_[949] * vX_[475] + vX_[60] * vX_[937]) - (vX_[946] * vX_[100] + vX_[916] * vX_[947]);
+ vX_[41] = (vX_[41] - (vX_[932] * vX_[258] + vX_[486] * vX_[561]) - (vX_[949] * vX_[461] + vX_[60] * vX_[872]) - (vX_[946] * vX_[170] + vX_[916] * vX_[563]) - vX_[618] * vX_[523]) / vX_[976];
+ vX_[682] = - vX_[682];
+ vX_[944] = vX_[88] * vX_[682] + vX_[86] * vX_[47];
+ vX_[742] = vX_[944] - (vX_[913] * vX_[25] + vX_[91] * vX_[938]) - (vX_[933] * vX_[475] + vX_[490] * vX_[937]) - (vX_[722] * vX_[100] + vX_[79] * vX_[947]);
+ vX_[202] = (vX_[490] - vX_[934] * vX_[72]) / vX_[573];
+ vX_[70] = (vX_[70] - (vX_[689] * vX_[202] + vX_[940] * vX_[934]) - vX_[935] * vX_[484]) / vX_[570];
+ vX_[102] = (vX_[102] - (vX_[687] * vX_[70] + vX_[720] * vX_[935]) - (vX_[480] * vX_[202] + vX_[505] * vX_[934]) - vX_[936] * vX_[716]) / vX_[572];
+ vX_[944] = (vX_[944] - (vX_[932] * vX_[70] + vX_[486] * vX_[935]) - (vX_[949] * vX_[202] + vX_[60] * vX_[934]) - (vX_[946] * vX_[102] + vX_[916] * vX_[936]) - vX_[919] * vX_[523]) / vX_[976];
+ vX_[799] = vX_[101] + vX_[799] - (vX_[913] * vX_[70] + vX_[91] * vX_[935]) - (vX_[933] * vX_[202] + vX_[490] * vX_[934]) - (vX_[722] * vX_[102] + vX_[79] * vX_[936]) - (vX_[948] * vX_[944] + vX_[742] * vX_[919]);
+ vX_[107] = (vX_[24] * vX_[159] + vX_[86] * vX_[754] - (vX_[913] * vX_[258] + vX_[91] * vX_[561]) - (vX_[933] * vX_[461] + vX_[490] * vX_[872]) - (vX_[722] * vX_[170] + vX_[79] * vX_[563]) - (vX_[948] * vX_[41] + vX_[742] * vX_[618]) - vX_[899] * vX_[799]) / vX_[973];
+ vX_[116] = vX_[116] * vX_[88] + vX_[537] * vX_[86];
+ vX_[606] = vX_[741] * vX_[86] + vX_[732] * vX_[88] + vX_[606];
+ vX_[732] = vX_[116] - (vX_[945] * vX_[98] + vX_[606] * vX_[688]);
+ vX_[121] = vX_[121] * vX_[86] + vX_[817] * vX_[88] + vX_[60];
+ vX_[817] = vX_[121] - (vX_[977] * vX_[63] + vX_[732] * vX_[586]) - (vX_[945] * vX_[78] + vX_[606] * vX_[574]);
+ vX_[682] = 0 - vX_[24] * vX_[47] - vX_[86] * vX_[682];
+ vX_[47] = vX_[682] - (vX_[977] * vX_[25] + vX_[732] * vX_[938]) - (vX_[945] * vX_[475] + vX_[606] * vX_[937]) - (vX_[474] * vX_[100] + vX_[817] * vX_[947]);
+ vX_[69] = vX_[99] * vX_[86] + vX_[69] * vX_[24];
+ vX_[99] = vX_[69] - (vX_[977] * vX_[70] + vX_[732] * vX_[935]) - (vX_[945] * vX_[202] + vX_[606] * vX_[934]) - (vX_[474] * vX_[102] + vX_[817] * vX_[936]) - (vX_[984] * vX_[944] + vX_[47] * vX_[919]);
+ vX_[72] = (vX_[606] - vX_[978] * vX_[72]) / vX_[573];
+ vX_[116] = (vX_[116] - (vX_[689] * vX_[72] + vX_[940] * vX_[978]) - vX_[979] * vX_[484]) / vX_[570];
+ vX_[121] = (vX_[121] - (vX_[687] * vX_[116] + vX_[720] * vX_[979]) - (vX_[480] * vX_[72] + vX_[505] * vX_[978]) - vX_[980] * vX_[716]) / vX_[572];
+ vX_[682] = (vX_[682] - (vX_[932] * vX_[116] + vX_[486] * vX_[979]) - (vX_[949] * vX_[72] + vX_[60] * vX_[978]) - (vX_[946] * vX_[121] + vX_[916] * vX_[980]) - vX_[985] * vX_[523]) / vX_[976];
+ vX_[69] = (vX_[69] - (vX_[913] * vX_[116] + vX_[91] * vX_[979]) - (vX_[933] * vX_[72] + vX_[490] * vX_[978]) - (vX_[722] * vX_[121] + vX_[79] * vX_[980]) - (vX_[948] * vX_[682] + vX_[742] * vX_[985]) - vX_[986] * vX_[799]) / vX_[973];
+ vX_[99] = (vX_[86] * vX_[159] + vX_[616] * vX_[754] - (vX_[977] * vX_[258] + vX_[732] * vX_[561]) - (vX_[945] * vX_[461] + vX_[606] * vX_[872]) - (vX_[474] * vX_[170] + vX_[817] * vX_[563]) - (vX_[984] * vX_[41] + vX_[47] * vX_[618]) - (vX_[955] * vX_[107] + vX_[99] * vX_[899]) - vX_[568] * (vX_[101] + vX_[185] - (vX_[977] * vX_[116] + vX_[732] * vX_[979]) - (vX_[945] * vX_[72] + vX_[606] * vX_[978]) - (vX_[474] * vX_[121] + vX_[817] * vX_[980]) - (vX_[984] * vX_[682] + vX_[47] * vX_[985]) - (vX_[955] * vX_[69] + vX_[99] * vX_[986]))) / vX_[975];
+ jac[599] = - vX_[99];
+ vX_[69] = vX_[107] - (vX_[986] * vX_[99] + vX_[69] * vX_[568]);
+ jac[598] = - vX_[69];
+ vX_[682] = vX_[41] - (vX_[985] * vX_[99] + vX_[682] * vX_[568]) - (vX_[919] * vX_[69] + vX_[944] * vX_[358]);
+ jac[597] = - vX_[682];
+ vX_[121] = vX_[170] - (vX_[936] * vX_[69] + vX_[102] * vX_[358]) - (vX_[947] * vX_[682] + vX_[100] * vX_[912]) - (vX_[980] * vX_[99] + vX_[121] * vX_[568]);
+ jac[596] = - vX_[121];
+ vX_[116] = vX_[258] - (vX_[938] * vX_[682] + vX_[25] * vX_[912]) - (vX_[586] * vX_[121] + vX_[63] * vX_[452]) - (vX_[935] * vX_[69] + vX_[70] * vX_[358]) - (vX_[979] * vX_[99] + vX_[116] * vX_[568]);
+ jac[594] = vX_[574] * vX_[121] + vX_[78] * vX_[452] + vX_[688] * vX_[116] + vX_[98] * vX_[885] + vX_[937] * vX_[682] + vX_[475] * vX_[912] + vX_[934] * vX_[69] + vX_[202] * vX_[358] + vX_[978] * vX_[99] + vX_[72] * vX_[568] - vX_[461];
+ jac[595] = - vX_[116];
+ vX_[116] = -1 * jac[594];
+ vX_[121] = vX_[440] * jac[596] + vX_[360] * jac[595];
+ vX_[682] = vX_[360] * jac[596] + vX_[441] * jac[595];
+ vX_[69] = -1 * jac[597];
+ vX_[99] = 0.207 * jac[596] + vX_[69];
+ vX_[72] = vX_[610] * jac[596] + vX_[611] * jac[595] + vX_[438] * jac[594] + vX_[359] * jac[599] + vX_[612] * jac[598];
+ jac[600] = (0 - vX_[435] * vX_[116] - vX_[472] * vX_[121] - vX_[430] * vX_[682] - vX_[457] * vX_[99] - vX_[449] * (vX_[443] * jac[596] + vX_[442] * jac[595] + vX_[596] * jac[594] + vX_[440] * jac[599] + vX_[597] * jac[598]) - vX_[433] * vX_[72]) / vX_[435];
+ vX_[202] = -1 * vX_[121];
+ vX_[475] = vX_[116] + jac[600];
+ vX_[78] = vX_[361] * vX_[99] + vX_[625] * vX_[72] + vX_[592] * vX_[121];
+ vX_[72] = vX_[388] * vX_[99] + vX_[361] * vX_[72] + vX_[409] * vX_[121];
+ jac[601] = (0 - vX_[385] * vX_[202] - vX_[392] * (vX_[361] * vX_[475] + vX_[389] * vX_[682]) - vX_[373] * (vX_[388] * vX_[475] + vX_[361] * vX_[682]) - vX_[383] * vX_[78] - vX_[396] * vX_[72]) / vX_[385];
+ vX_[202] = vX_[202] + jac[601];
+ jac[602] = (0 - 0.1104774 * (vX_[362] * vX_[78] + vX_[636] * vX_[72] + vX_[637] * vX_[202]) - -0.0004405 * (vX_[364] * vX_[78] + vX_[362] * vX_[72] + vX_[367] * vX_[202]) - 0.026181 * vX_[202]) / 0.026181;
+ vX_[202] = vX_[318] * jac[596] + vX_[239] * jac[595];
+ vX_[72] = vX_[320] * jac[596] + vX_[318] * jac[595];
+ vX_[78] = 0.207 * jac[596] + jac[597];
+ vX_[475] = vX_[830] * jac[596] + vX_[831] * jac[595] + vX_[317] * jac[594] + vX_[832] * jac[599] + vX_[318] * jac[598];
+ jac[603] = (0 - vX_[314] * jac[594] - vX_[350] * vX_[202] - vX_[309] * vX_[72] - vX_[335] * vX_[78] - vX_[327] * (vX_[321] * jac[596] + vX_[319] * jac[595] + vX_[845] * jac[594] + vX_[318] * jac[599] + vX_[239] * jac[598]) - vX_[312] * vX_[475]) / vX_[314];
+ vX_[682] = jac[594] + jac[603];
+ vX_[99] = vX_[850] * vX_[78] + vX_[851] * vX_[475] + vX_[852] * vX_[202];
+ vX_[475] = vX_[267] * vX_[78] + vX_[240] * vX_[475] + vX_[289] * vX_[202];
+ jac[604] = (0 - vX_[264] * vX_[202] - vX_[271] * (vX_[287] * vX_[682] + vX_[268] * vX_[72]) - vX_[252] * (vX_[268] * vX_[682] + vX_[240] * vX_[72]) - vX_[262] * vX_[99] - vX_[275] * vX_[475]) / vX_[264];
+ vX_[202] = vX_[202] + jac[604];
+ jac[605] = (0 - 0.1104774 * (vX_[241] * vX_[99] + vX_[854] * vX_[475] + vX_[856] * vX_[202]) - -0.0004405 * (vX_[243] * vX_[99] + vX_[241] * vX_[475] + vX_[246] * vX_[202]) - 0.026181 * vX_[202]) / 0.026181;
+ vX_[202] = vX_[198] * jac[596] + vX_[128] * jac[595];
+ vX_[475] = vX_[128] * jac[596] + vX_[199] * jac[595];
+ vX_[69] = 0.207 * jac[596] + vX_[69];
+ vX_[99] = vX_[762] * jac[596] + vX_[763] * jac[595] + vX_[196] * jac[594] + vX_[764] * jac[599] + vX_[765] * jac[598];
+ jac[606] = (0 - vX_[193] * vX_[116] - vX_[230] * vX_[202] - vX_[188] * vX_[475] - vX_[215] * vX_[69] - vX_[207] * (vX_[201] * jac[596] + vX_[200] * jac[595] + vX_[701] * jac[594] + vX_[198] * jac[599] + vX_[127] * jac[598]) - vX_[191] * vX_[99]) / vX_[193];
+ vX_[682] = -1 * vX_[202];
+ vX_[116] = vX_[116] + jac[606];
+ vX_[72] = vX_[129] * vX_[69] + vX_[772] * vX_[99] + vX_[773] * vX_[202];
+ vX_[99] = vX_[149] * vX_[69] + vX_[129] * vX_[99] + vX_[167] * vX_[202];
+ jac[607] = (0 - vX_[146] * vX_[682] - 2.1e-05 * (vX_[129] * vX_[116] + vX_[150] * vX_[475]) - -0.000102 * (vX_[149] * vX_[116] + vX_[129] * vX_[475]) - vX_[144] * vX_[72] - vX_[154] * vX_[99]) / vX_[146];
+ vX_[682] = vX_[682] + jac[607];
+ jac[608] = (0 - 0.110125 * (vX_[132] * vX_[72] + vX_[782] * vX_[99] + vX_[783] * vX_[682]) - 0.000881 * (vX_[130] * vX_[72] + vX_[132] * vX_[99] + vX_[131] * vX_[682]) - 0.026181 * vX_[682]) / 0.026181;
+ vX_[682] = vX_[86] * jac[596] + vX_[24] * jac[595];
+ vX_[99] = vX_[86] * vX_[532] + vX_[24] * vX_[530] + vX_[748];
+ vX_[72] = vX_[88] * jac[596] + vX_[86] * jac[595];
+ vX_[116] = vX_[88] * vX_[532] + vX_[86] * vX_[530] + vX_[749];
+ vX_[475] = 0.207 * jac[596] + jac[597];
+ vX_[416] = 0.207 * vX_[532] + vX_[416];
+ vX_[69] = vX_[89] * vX_[532] + vX_[87] * vX_[530] + vX_[703] * vX_[760] + vX_[86] * vX_[951] + vX_[24] * vX_[534] + vX_[751];
+ vX_[202] = vX_[649] * jac[596] + vX_[608] * jac[595] + vX_[85] * jac[594] + vX_[616] * jac[599] + vX_[86] * jac[598];
+ vX_[534] = vX_[649] * vX_[532] + vX_[608] * vX_[530] + vX_[85] * vX_[760] + vX_[616] * vX_[951] + vX_[86] * vX_[534] + vX_[752];
+ vX_[951] = (vX_[727] - vX_[82] * vX_[760] - vX_[118] * vX_[99] - vX_[77] * vX_[116] - vX_[103] * vX_[416] - vX_[95] * vX_[69] - vX_[80] * vX_[534]) / vX_[82];
+ jac[609] = (vX_[168] - (vX_[82] * jac[594] + vX_[59] * vX_[760]) - (vX_[118] * vX_[682] + vX_[138] * vX_[99]) - (vX_[77] * vX_[72] + vX_[58] * vX_[116]) - (vX_[103] * vX_[475] + vX_[93] * vX_[416]) - (vX_[95] * (vX_[89] * jac[596] + vX_[87] * jac[595] + vX_[703] * jac[594] + vX_[86] * jac[599] + vX_[24] * jac[598]) + vX_[545] * vX_[69]) - (vX_[80] * vX_[202] + vX_[92] * vX_[534]) - vX_[951] * vX_[59]) / vX_[82];
+ vX_[93] = jac[594] + jac[609];
+ vX_[168] = vX_[760] + vX_[951];
+ vX_[166] = vX_[708] * vX_[475] + vX_[331] * vX_[416] + vX_[709] * vX_[202] + vX_[161] * vX_[534] + vX_[710] * vX_[682] + vX_[233] * vX_[99] + vX_[166];
+ vX_[202] = vX_[10] * vX_[475] + vX_[216] * vX_[416] + vX_[33] * vX_[202] + vX_[698] * vX_[534] + vX_[57] * vX_[682] + vX_[134] * vX_[99] + vX_[544];
+ jac[610] = (vX_[122] - vX_[17] * vX_[682] - vX_[6] * (vX_[55] * vX_[93] + vX_[137] * vX_[168] + vX_[38] * vX_[72] + vX_[795] * vX_[116] + vX_[821]) - vX_[23] * (vX_[38] * vX_[93] + vX_[795] * vX_[168] + vX_[33] * vX_[72] + vX_[698] * vX_[116] + vX_[630]) - vX_[15] * vX_[166] - vX_[43] * vX_[202]) / vX_[17];
+ vX_[682] = vX_[682] + jac[610];
+ jac[611] = (vX_[492] - 0.1104774 * (vX_[20] * vX_[166] + vX_[712] * vX_[202] + vX_[714] * vX_[682] + vX_[952]) - 0.0004405 * (vX_[37] * vX_[166] + vX_[20] * vX_[202] + vX_[34] * vX_[682] + vX_[906]) - 0.026181 * vX_[682]) / 0.026181;
+ vX_[682] = cos(x_in[17]);
+ vX_[202] = -1 * sin(x_in[17]);
+ vX_[166] = 0.35 * vX_[682];
+ vX_[906] = vX_[682] * vX_[711] + vX_[202] * vX_[713] + vX_[166] * vX_[697];
+ vX_[952] = vX_[707] * vX_[906];
+ vX_[492] = vX_[202] * vX_[700] + vX_[682] * vX_[696];
+ vX_[93] = vX_[492] * vX_[706];
+ vX_[72] = - vX_[682];
+ vX_[630] = vX_[72] * vX_[700] + vX_[202] * vX_[696];
+ vX_[821] = vX_[718] * vX_[630] + vX_[492] * vX_[702];
+ vX_[122] = - vX_[682];
+ vX_[137] = 0.35 * vX_[202];
+ vX_[795] = vX_[202] * vX_[711] + vX_[122] * vX_[713] + vX_[137] * vX_[697];
+ vX_[698] = vX_[630] * vX_[706] - vX_[707] * vX_[795];
+ vX_[475] = 0.1104774 * (vX_[952] - vX_[93]) + 0.025941 * vX_[821] - -0.0004405 * vX_[698];
+ vX_[544] = 0 - vX_[475];
+ vX_[134] = vX_[630] * vX_[707];
+ vX_[216] = (- vX_[906]) * x_in[35];
+ vX_[233] = vX_[795] * x_in[35];
+ vX_[161] = vX_[630] * x_in[35];
+ vX_[331] = vX_[718] * vX_[492] + vX_[492] * vX_[718];
+ vX_[92] = -0.881 * (vX_[93] - vX_[952]) + 0.1104774 * vX_[821] + 8.81e-05 * vX_[134] + 0.414812462825713 * vX_[216] + -0.00185880198235362 * vX_[233] + -8.81e-05 * vX_[161] + (0.1104774 * vX_[544]) / 0.026181 - -0.0004405 * vX_[331];
+ vX_[545] = vX_[492] * vX_[707];
+ vX_[58] = (- vX_[492]) * x_in[35];
+ vX_[59] = vX_[702] * vX_[630] + vX_[630] * vX_[702];
+ vX_[821] = 0.881 * vX_[698] + 8.81e-05 * vX_[545] + -0.0004405 * vX_[821] + -0.00185880198235362 * vX_[216] + 0.880992588508842 * vX_[233] + 8.81e-05 * vX_[58] + (0.0004405 * vX_[544]) / 0.026181 - 0.1104774 * vX_[59];
+ vX_[475] = (0.026181 * vX_[544]) / 0.026181 + vX_[475] + vX_[714] * vX_[92] + vX_[137] * vX_[733] + vX_[34] * vX_[821] + vX_[166] * vX_[747];
+ vX_[138] = 0 - vX_[475];
+ vX_[530] = -0.35 * vX_[202];
+ vX_[532] = 0.880992588508842 * vX_[166] - -0.00185880198235362 * vX_[530];
+ vX_[78] = -0.00185880198235362 * vX_[166] - 0.414812462825713 * vX_[530];
+ vX_[4] = vX_[4] * vX_[166] + vX_[532] * vX_[34] - (vX_[2] * vX_[530] + vX_[78] * vX_[26]);
+ vX_[2] = -8.81e-05 * vX_[682];
+ vX_[121] = 8.81e-05 * vX_[202];
+ vX_[98] = 0.881 * vX_[530];
+ vX_[78] = vX_[78] + vX_[98];
+ vX_[461] = - 0.881 * vX_[166];
+ vX_[532] = vX_[532] + vX_[461];
+ vX_[70] = - vX_[98];
+ vX_[25] = vX_[20] * vX_[70] + vX_[202] * vX_[30] + vX_[36] * vX_[461] + vX_[72] * vX_[27];
+ vX_[63] = vX_[39] * vX_[202] + vX_[78] * vX_[20] + vX_[32] * vX_[682] + vX_[532] * vX_[37] + vX_[25];
+ vX_[258] = (vX_[63] - vX_[1] * vX_[4]) / vX_[17];
+ vX_[102] = 8.81e-05 * vX_[166];
+ vX_[100] = 2. * vX_[102];
+ vX_[170] = - -8.81e-05 * vX_[530];
+ vX_[944] = 2. * vX_[170];
+ vX_[102] = - vX_[102];
+ vX_[41] = vX_[5] * vX_[202] + vX_[100] * vX_[20] + vX_[14] * vX_[682] + vX_[944] * vX_[37] + vX_[36] * vX_[170] + vX_[72] * vX_[28] + vX_[20] * vX_[102] + vX_[202] * vX_[16];
+ vX_[107] = vX_[7] * vX_[202] + vX_[2] * vX_[20] + vX_[40] * vX_[682] + vX_[121] * vX_[37] - (vX_[6] * vX_[258] + vX_[41] * vX_[1]);
+ vX_[47] = -8.81e-05 * vX_[202];
+ vX_[817] = 8.81e-05 * vX_[72];
+ vX_[102] = vX_[5] * vX_[72] + vX_[100] * vX_[36] + vX_[14] * vX_[202] + vX_[944] * vX_[20] - (vX_[20] * vX_[170] + vX_[202] * vX_[28]) - (vX_[37] * vX_[102] + vX_[682] * vX_[16]);
+ vX_[944] = vX_[9] * vX_[202] + vX_[47] * vX_[20] + vX_[35] * vX_[682] + vX_[817] * vX_[37] - (vX_[23] * vX_[258] + vX_[102] * vX_[1]);
+ vX_[170] = -7.4114911576828e-06 * vX_[682] + -0.00185880198235362 * vX_[202];
+ vX_[100] = -0.00185880198235362 * vX_[682] + -0.466187537174287 * vX_[202];
+ vX_[16] = vX_[64] * vX_[682] + vX_[170] * vX_[37] + vX_[65] * vX_[202] + vX_[100] * vX_[20];
+ vX_[14] = vX_[16] - (vX_[15] * vX_[258] + vX_[63] * vX_[1]);
+ vX_[70] = vX_[37] * vX_[70] + vX_[682] * vX_[30] + vX_[20] * vX_[461] + vX_[202] * vX_[27];
+ vX_[532] = vX_[39] * vX_[72] + vX_[78] * vX_[36] + vX_[32] * vX_[202] + vX_[532] * vX_[20] - vX_[70];
+ vX_[100] = vX_[65] * vX_[72] + vX_[100] * vX_[36] + vX_[64] * vX_[202] + vX_[170] * vX_[20] - (vX_[43] * vX_[258] + vX_[532] * vX_[1]);
+ vX_[755] = vX_[20] * vX_[92] + vX_[202] * vX_[733] + vX_[37] * vX_[821] + vX_[682] * vX_[747] + vX_[107] * vX_[735] + vX_[944] * vX_[736] + vX_[14] * vX_[738] + vX_[100] * vX_[739] + (vX_[15] * vX_[138] + vX_[63] * vX_[745] - vX_[755] * vX_[4]) / vX_[17];
+ vX_[170] = (vX_[532] - vX_[44] * vX_[4]) / vX_[17];
+ vX_[121] = vX_[7] * vX_[72] + vX_[2] * vX_[36] + vX_[40] * vX_[202] + vX_[121] * vX_[20] - (vX_[6] * vX_[170] + vX_[41] * vX_[44]);
+ vX_[817] = vX_[9] * vX_[72] + vX_[47] * vX_[36] + vX_[35] * vX_[202] + vX_[817] * vX_[20] - (vX_[23] * vX_[170] + vX_[102] * vX_[44]);
+ vX_[170] = 0 - vX_[16] - (vX_[43] * vX_[170] + vX_[532] * vX_[44]);
+ vX_[821] = vX_[712] * vX_[92] + vX_[122] * vX_[733] + vX_[20] * vX_[821] + vX_[202] * vX_[747] + vX_[121] * vX_[735] + vX_[817] * vX_[736] + vX_[100] * vX_[738] + vX_[170] * vX_[739] + (vX_[43] * vX_[138] + vX_[532] * vX_[745] - vX_[740] * vX_[4]) / vX_[17];
+ vX_[92] = vX_[57] * vX_[170] - vX_[56] * vX_[100];
+ vX_[740] = vX_[57] * vX_[100] - vX_[56] * vX_[14];
+ vX_[747] = vX_[92] * vX_[57] - vX_[740] * vX_[56];
+ vX_[733] = vX_[817] * vX_[57] - vX_[944] * vX_[56];
+ vX_[16] = vX_[121] * vX_[57] - vX_[107] * vX_[56];
+ vX_[44] = - vX_[16];
+ vX_[47] = vX_[38] * vX_[733] + vX_[33] * vX_[44];
+ vX_[98] = -0.2209548 * vX_[530] + vX_[8] * vX_[530] + vX_[98] * vX_[26] - vX_[4];
+ vX_[8] = 0 - -0.000881 * vX_[166] - (vX_[3] * vX_[166] + vX_[461] * vX_[34]) - vX_[4];
+ vX_[461] = -0.0004405 * vX_[530] + vX_[3] * vX_[530] + vX_[461] * vX_[26] - -0.1104774 * vX_[166];
+ vX_[51] = vX_[37] * vX_[8] + vX_[682] * vX_[51] + vX_[20] * vX_[461] + vX_[202] * vX_[48];
+ vX_[461] = vX_[37] * vX_[461] + vX_[682] * vX_[48] + vX_[20] * vX_[98] + vX_[202] * vX_[49];
+ vX_[49] = vX_[52] * vX_[682] + vX_[51] * vX_[37] + vX_[50] * vX_[202] + vX_[461] * vX_[20];
+ vX_[8] = vX_[98] + vX_[8] + vX_[4] - vX_[49] - (vX_[23] * (vX_[102] - vX_[74] * vX_[4]) / vX_[17] + vX_[102] * vX_[74]);
+ vX_[98] = vX_[8] - 2. * vX_[70] * vX_[57] - vX_[747];
+ vX_[74] = (vX_[41] - vX_[53] * vX_[4]) / vX_[17];
+ vX_[461] = vX_[50] * vX_[72] + vX_[461] * vX_[36] + vX_[52] * vX_[202] + vX_[51] * vX_[20] - (vX_[23] * vX_[74] + vX_[102] * vX_[53]);
+ vX_[25] = 0 - vX_[25];
+ vX_[51] = vX_[461] + vX_[70] * vX_[56] - vX_[25] * vX_[57];
+ vX_[52] = vX_[38] * vX_[98] + vX_[55] * vX_[51];
+ vX_[74] = vX_[4] + vX_[49] - (vX_[6] * vX_[74] + vX_[41] * vX_[53]);
+ vX_[56] = 2. * vX_[25] * vX_[56] + vX_[74] - vX_[747];
+ vX_[51] = vX_[38] * vX_[51] + vX_[55] * vX_[56];
+ vX_[49] = vX_[52] * vX_[38] + vX_[51] * vX_[55];
+ vX_[53] = vX_[747] + vX_[49];
+ vX_[50] = (vX_[47] - vX_[482] * vX_[53]) / vX_[82];
+ vX_[48] = vX_[747] - (vX_[118] * vX_[50] + vX_[47] * vX_[482]);
+ vX_[51] = vX_[51] * vX_[38] + vX_[52] * vX_[33];
+ vX_[50] = 2. * vX_[16] * vX_[38] + 2. * vX_[733] * vX_[33] + vX_[55] * vX_[733] + vX_[38] * vX_[44] - (vX_[77] * vX_[50] + vX_[51] * vX_[482]);
+ vX_[44] = - vX_[25];
+ vX_[16] = vX_[33] * vX_[44] + vX_[38] * vX_[70];
+ vX_[733] = (vX_[16] - vX_[96] * vX_[53]) / vX_[82];
+ vX_[482] = -(vX_[118] * vX_[733] + vX_[47] * vX_[96]);
+ vX_[740] = vX_[740] + vX_[25];
+ vX_[92] = vX_[92] + vX_[70];
+ vX_[44] = vX_[38] * vX_[44] + vX_[55] * vX_[70];
+ vX_[52] = vX_[38] * vX_[817] + vX_[55] * vX_[121];
+ vX_[530] = vX_[38] * vX_[944] + vX_[55] * vX_[107];
+ vX_[3] = vX_[52] * vX_[33] + vX_[530] * vX_[38];
+ vX_[26] = (vX_[3] - vX_[83] * vX_[53]) / vX_[82];
+ vX_[35] = vX_[740] * vX_[38] + vX_[92] * vX_[33] + vX_[44] - (vX_[118] * vX_[26] + vX_[47] * vX_[83]);
+ vX_[795] = vX_[718] * vX_[795] + vX_[492] * vX_[715] - (vX_[702] * vX_[906] + vX_[630] * vX_[721]);
+ vX_[698] = 8.81e-05 * vX_[698] + 8.81e-05 * vX_[233] + 0.026409 * vX_[58] - 0.1104774 * vX_[795] - 0.025713 * vX_[545];
+ vX_[93] = -0.0004405 * vX_[795] + 8.81e-05 * (vX_[93] - vX_[952]) + -0.000227999999999999 * vX_[134] + -8.81e-05 * vX_[216] + 0.000468 * vX_[161];
+ vX_[795] = 0.881 * vX_[795] + 0.1104774 * vX_[545] + -0.0004405 * vX_[134] + -0.1104774 * vX_[58] + -0.0004405 * vX_[161] - 8.81e-05 * (vX_[59] + vX_[331]);
+ vX_[74] = vX_[20] * vX_[698] + vX_[202] * vX_[724] + vX_[37] * vX_[93] + vX_[682] * vX_[731] + -0.35 * vX_[795] + vX_[74] * vX_[735] + vX_[461] * vX_[736] + vX_[107] * vX_[738] + vX_[121] * vX_[739] + (vX_[6] * vX_[138] + vX_[41] * vX_[745] - vX_[729] * vX_[4]) / vX_[17];
+ vX_[93] = vX_[36] * vX_[698] + vX_[72] * vX_[724] + vX_[20] * vX_[93] + vX_[202] * vX_[731] + vX_[461] * vX_[735] + vX_[8] * vX_[736] + vX_[944] * vX_[738] + vX_[817] * vX_[739] + (vX_[23] * vX_[138] + vX_[102] * vX_[745] - vX_[717] * vX_[4]) / vX_[17];
+ vX_[795] = vX_[795] + vX_[25] * vX_[735] + vX_[70] * vX_[736];
+ vX_[25] = vX_[55] * vX_[74] + vX_[38] * vX_[93] + 0.08 * vX_[795];
+ vX_[70] = 0 - vX_[25];
+ vX_[475] = (vX_[17] * vX_[138] + vX_[4] * vX_[745] - vX_[910] * vX_[4]) / vX_[17] + vX_[475] + vX_[710] * vX_[755] + vX_[57] * vX_[821] + vX_[48] * vX_[748] + vX_[50] * vX_[749] + vX_[482] * vX_[751] + vX_[35] * vX_[752] + (vX_[118] * vX_[70] + vX_[47] * vX_[727] - vX_[911] * vX_[53]) / vX_[82];
+ vX_[49] = vX_[56] + vX_[98] + vX_[747] - vX_[49] - (vX_[77] * (vX_[51] - vX_[491] * vX_[53]) / vX_[82] + vX_[51] * vX_[491]);
+ vX_[44] = 0 - vX_[44] - (vX_[77] * vX_[733] + vX_[51] * vX_[96]);
+ vX_[944] = vX_[33] * vX_[944] + vX_[38] * vX_[107];
+ vX_[817] = vX_[33] * vX_[817] + vX_[38] * vX_[121];
+ vX_[121] = vX_[944] * vX_[38] + vX_[817] * vX_[33] - (vX_[77] * vX_[26] + vX_[51] * vX_[83]);
+ vX_[93] = vX_[38] * vX_[74] + vX_[33] * vX_[93] + vX_[50] * vX_[748] + vX_[49] * vX_[749] + vX_[44] * vX_[751] + vX_[121] * vX_[752] + (vX_[77] * vX_[70] + vX_[51] * vX_[727] - vX_[746] * vX_[53]) / vX_[82];
+ vX_[530] = vX_[52] * vX_[38] + vX_[530] * vX_[55];
+ vX_[52] = (vX_[530] - vX_[104] * vX_[53]) / vX_[82];
+ vX_[92] = vX_[740] * vX_[55] + vX_[92] * vX_[38] - vX_[16] - (vX_[118] * vX_[52] + vX_[47] * vX_[104]);
+ vX_[817] = vX_[944] * vX_[55] + vX_[817] * vX_[38] - (vX_[77] * vX_[52] + vX_[51] * vX_[104]);
+ vX_[944] = -(vX_[95] * vX_[52] + vX_[16] * vX_[104]);
+ vX_[740] = vX_[38] * vX_[100] + vX_[55] * vX_[14];
+ vX_[100] = vX_[38] * vX_[170] + vX_[55] * vX_[100];
+ vX_[74] = vX_[740] * vX_[38] + vX_[100] * vX_[33] - (vX_[80] * vX_[52] + vX_[3] * vX_[104]);
+ vX_[479] = vX_[708] * vX_[755] + vX_[10] * vX_[821] + vX_[92] * vX_[748] + vX_[817] * vX_[749] + vX_[944] * vX_[751] + vX_[74] * vX_[752] + (vX_[103] * vX_[70] + vX_[530] * vX_[727] - vX_[479] * vX_[53]) / vX_[82];
+ vX_[746] = -(vX_[95] * vX_[733] + vX_[16] * vX_[96]);
+ vX_[733] = -(vX_[80] * vX_[733] + vX_[3] * vX_[96]);
+ vX_[795] = vX_[795] + vX_[482] * vX_[748] + vX_[44] * vX_[749] + vX_[746] * vX_[751] + vX_[733] * vX_[752] + (vX_[95] * vX_[70] + vX_[16] * vX_[727] - vX_[753] * vX_[53]) / vX_[82];
+ vX_[100] = vX_[100] * vX_[38] + vX_[740] * vX_[55];
+ vX_[26] = vX_[14] + vX_[170] - vX_[100] - (vX_[80] * vX_[26] + vX_[3] * vX_[83]);
+ vX_[821] = vX_[709] * vX_[755] + vX_[33] * vX_[821] + vX_[35] * vX_[748] + vX_[121] * vX_[749] + vX_[733] * vX_[751] + vX_[26] * vX_[752] + (vX_[80] * vX_[70] + vX_[3] * vX_[727] - vX_[744] * vX_[53]) / vX_[82];
+ vX_[100] = vX_[100] - (vX_[103] * vX_[52] + vX_[530] * vX_[104]);
+ vX_[52] = vX_[110] * vX_[100] - vX_[90] * vX_[74];
+ vX_[104] = vX_[110] * vX_[74] - vX_[90] * vX_[26];
+ vX_[755] = vX_[85] * vX_[26] - vX_[110] * vX_[733];
+ vX_[744] = vX_[85] * vX_[733] - vX_[110] * vX_[746];
+ vX_[752] = vX_[755] * vX_[85] - vX_[744] * vX_[110];
+ vX_[48] = 2. * vX_[92] * vX_[110] + vX_[48] + vX_[52] * vX_[110] - 2. * vX_[35] * vX_[90] - vX_[104] * vX_[90] - vX_[752];
+ vX_[751] = vX_[90] * vX_[746] - vX_[85] * vX_[944];
+ vX_[749] = vX_[90] * vX_[944] - vX_[85] * vX_[100];
+ vX_[49] = 2. * vX_[44] * vX_[90] + vX_[49] + vX_[751] * vX_[90] - 2. * vX_[817] * vX_[85] - vX_[749] * vX_[85] - vX_[752];
+ vX_[748] = vX_[90] * vX_[733];
+ vX_[170] = vX_[85] * vX_[74];
+ vX_[14] = vX_[748] - vX_[170];
+ vX_[50] = vX_[482] * vX_[90] + vX_[50] + vX_[817] * vX_[110] + vX_[749] * vX_[110] - vX_[121] * vX_[90] - vX_[92] * vX_[85] - vX_[14] * vX_[90];
+ vX_[90] = vX_[86] * vX_[50];
+ vX_[83] = (vX_[86] * vX_[49] + vX_[24] * vX_[50]) * vX_[86] + (vX_[90] + vX_[24] * vX_[48]) * vX_[24];
+ vX_[90] = vX_[88] * vX_[49] + vX_[90];
+ vX_[50] = vX_[88] * vX_[50] + vX_[86] * vX_[48];
+ vX_[740] = vX_[90] * vX_[88] + vX_[50] * vX_[86];
+ vX_[49] = vX_[48] + vX_[49] + vX_[752] - vX_[83] - vX_[740];
+ vX_[25] = ((vX_[82] * vX_[70] + vX_[53] * vX_[727] - vX_[726] * vX_[53]) / vX_[82] + vX_[25] + vX_[703] * vX_[795] + vX_[85] * vX_[821] - vX_[872] * vX_[49]) / vX_[573];
+ vX_[726] = vX_[110] * vX_[944];
+ vX_[748] = vX_[726] - vX_[748];
+ vX_[727] = vX_[482] * vX_[110] + vX_[748] * vX_[110] - vX_[35] * vX_[85] - vX_[104] * vX_[85];
+ vX_[110] = vX_[121] * vX_[85] + vX_[14] * vX_[85] - vX_[44] * vX_[110] - vX_[751] * vX_[110];
+ vX_[48] = vX_[88] * vX_[727] + vX_[86] * vX_[110];
+ vX_[753] = (vX_[48] - vX_[688] * vX_[49]) / vX_[573];
+ vX_[83] = vX_[752] + vX_[83] - (vX_[689] * vX_[753] + vX_[48] * vX_[688]);
+ vX_[96] = (vX_[24] * vX_[475] + vX_[86] * vX_[93] + vX_[87] * vX_[795] + vX_[608] * vX_[821] - (vX_[689] * vX_[25] + vX_[48] * vX_[872]) - vX_[561] * vX_[83]) / vX_[570];
+ vX_[50] = vX_[90] * vX_[86] + vX_[50] * vX_[24];
+ vX_[110] = 0 - vX_[24] * vX_[110] - vX_[86] * vX_[727];
+ vX_[727] = vX_[50] - (vX_[480] * vX_[753] + vX_[110] * vX_[688]);
+ vX_[90] = (vX_[110] - vX_[574] * vX_[49]) / vX_[573];
+ vX_[50] = (vX_[50] - (vX_[689] * vX_[90] + vX_[48] * vX_[574]) - vX_[586] * vX_[83]) / vX_[570];
+ vX_[740] = vX_[752] + vX_[740] - (vX_[687] * vX_[50] + vX_[727] * vX_[586]) - (vX_[480] * vX_[90] + vX_[110] * vX_[574]);
+ vX_[93] = (vX_[86] * vX_[475] + vX_[88] * vX_[93] + 0.207 * vX_[479] + vX_[89] * vX_[795] + vX_[649] * vX_[821] - (vX_[687] * vX_[96] + vX_[727] * vX_[561]) - (vX_[480] * vX_[25] + vX_[110] * vX_[872]) - vX_[563] * vX_[740]) / vX_[572];
+ vX_[751] = vX_[751] + vX_[44];
+ vX_[726] = vX_[170] - vX_[726];
+ vX_[748] = vX_[482] + vX_[748] - vX_[726];
+ vX_[482] = vX_[86] * vX_[751] + vX_[24] * vX_[748];
+ vX_[14] = vX_[121] + vX_[14] - vX_[726];
+ vX_[104] = vX_[104] + vX_[35];
+ vX_[35] = vX_[86] * vX_[14] + vX_[24] * vX_[104];
+ vX_[121] = vX_[482] * vX_[24] + vX_[35] * vX_[86] + vX_[726];
+ vX_[52] = vX_[52] + vX_[92];
+ vX_[744] = vX_[744] + vX_[52];
+ vX_[749] = vX_[749] + vX_[817];
+ vX_[755] = vX_[755] + vX_[749];
+ vX_[52] = - vX_[52];
+ vX_[817] = vX_[88] * vX_[52] + vX_[86] * vX_[749];
+ vX_[92] = vX_[744] * vX_[24] + vX_[755] * vX_[86] - vX_[817];
+ vX_[170] = vX_[121] - (vX_[933] * vX_[753] + vX_[92] * vX_[688]);
+ vX_[104] = vX_[88] * vX_[14] + vX_[86] * vX_[104];
+ vX_[748] = vX_[88] * vX_[751] + vX_[86] * vX_[748];
+ vX_[751] = vX_[104] * vX_[86] + vX_[748] * vX_[24];
+ vX_[14] = vX_[751] - (vX_[913] * vX_[50] + vX_[170] * vX_[586]) - (vX_[933] * vX_[90] + vX_[92] * vX_[574]);
+ vX_[44] = vX_[817] - (vX_[949] * vX_[753] + vX_[726] * vX_[688]);
+ vX_[52] = vX_[86] * vX_[52] + vX_[24] * vX_[749];
+ vX_[749] = - vX_[52];
+ vX_[475] = vX_[749] - (vX_[932] * vX_[50] + vX_[44] * vX_[586]) - (vX_[949] * vX_[90] + vX_[726] * vX_[574]);
+ vX_[746] = vX_[746] - vX_[100];
+ vX_[26] = vX_[26] - vX_[100];
+ vX_[752] = vX_[86] * vX_[733];
+ vX_[107] = (vX_[86] * vX_[26] + vX_[24] * vX_[733]) * vX_[86] + (vX_[752] + vX_[24] * vX_[746]) * vX_[24];
+ vX_[752] = vX_[88] * vX_[26] + vX_[752];
+ vX_[733] = vX_[88] * vX_[733] + vX_[86] * vX_[746];
+ vX_[56] = vX_[752] * vX_[88] + vX_[733] * vX_[86];
+ vX_[98] = (vX_[726] - vX_[937] * vX_[49]) / vX_[573];
+ vX_[817] = (vX_[817] - (vX_[689] * vX_[98] + vX_[48] * vX_[937]) - vX_[938] * vX_[83]) / vX_[570];
+ vX_[749] = (vX_[749] - (vX_[687] * vX_[817] + vX_[727] * vX_[938]) - (vX_[480] * vX_[98] + vX_[110] * vX_[937]) - vX_[947] * vX_[740]) / vX_[572];
+ vX_[26] = vX_[746] + vX_[26] + vX_[100] - vX_[107] - vX_[56] - (vX_[932] * vX_[817] + vX_[44] * vX_[938]) - (vX_[949] * vX_[98] + vX_[726] * vX_[937]) - (vX_[946] * vX_[749] + vX_[475] * vX_[947]);
+ vX_[479] = (vX_[479] - (vX_[932] * vX_[96] + vX_[44] * vX_[561]) - (vX_[949] * vX_[25] + vX_[726] * vX_[872]) - (vX_[946] * vX_[93] + vX_[475] * vX_[563]) - vX_[618] * vX_[26]) / vX_[976];
+ vX_[944] = - vX_[944];
+ vX_[746] = vX_[88] * vX_[944] + vX_[86] * vX_[74];
+ vX_[747] = vX_[746] - (vX_[913] * vX_[817] + vX_[170] * vX_[938]) - (vX_[933] * vX_[98] + vX_[92] * vX_[937]) - (vX_[722] * vX_[749] + vX_[14] * vX_[947]);
+ vX_[491] = (vX_[92] - vX_[934] * vX_[49]) / vX_[573];
+ vX_[121] = (vX_[121] - (vX_[689] * vX_[491] + vX_[48] * vX_[934]) - vX_[935] * vX_[83]) / vX_[570];
+ vX_[751] = (vX_[751] - (vX_[687] * vX_[121] + vX_[727] * vX_[935]) - (vX_[480] * vX_[491] + vX_[110] * vX_[934]) - vX_[936] * vX_[740]) / vX_[572];
+ vX_[746] = (vX_[746] - (vX_[932] * vX_[121] + vX_[44] * vX_[935]) - (vX_[949] * vX_[491] + vX_[726] * vX_[934]) - (vX_[946] * vX_[751] + vX_[475] * vX_[936]) - vX_[919] * vX_[26]) / vX_[976];
+ vX_[107] = vX_[100] + vX_[107] - (vX_[913] * vX_[121] + vX_[170] * vX_[935]) - (vX_[933] * vX_[491] + vX_[92] * vX_[934]) - (vX_[722] * vX_[751] + vX_[14] * vX_[936]) - (vX_[948] * vX_[746] + vX_[747] * vX_[919]);
+ vX_[911] = (vX_[24] * vX_[795] + vX_[86] * vX_[821] - (vX_[913] * vX_[96] + vX_[170] * vX_[561]) - (vX_[933] * vX_[25] + vX_[92] * vX_[872]) - (vX_[722] * vX_[93] + vX_[14] * vX_[563]) - (vX_[948] * vX_[479] + vX_[747] * vX_[618]) - vX_[899] * vX_[107]) / vX_[973];
+ vX_[35] = vX_[35] * vX_[88] + vX_[482] * vX_[86];
+ vX_[52] = vX_[744] * vX_[86] + vX_[755] * vX_[88] + vX_[52];
+ vX_[755] = vX_[35] - (vX_[945] * vX_[753] + vX_[52] * vX_[688]);
+ vX_[748] = vX_[748] * vX_[86] + vX_[104] * vX_[88] + vX_[726];
+ vX_[104] = vX_[748] - (vX_[977] * vX_[50] + vX_[755] * vX_[586]) - (vX_[945] * vX_[90] + vX_[52] * vX_[574]);
+ vX_[944] = 0 - vX_[24] * vX_[74] - vX_[86] * vX_[944];
+ vX_[74] = vX_[944] - (vX_[977] * vX_[817] + vX_[755] * vX_[938]) - (vX_[945] * vX_[98] + vX_[52] * vX_[937]) - (vX_[474] * vX_[749] + vX_[104] * vX_[947]);
+ vX_[733] = vX_[752] * vX_[86] + vX_[733] * vX_[24];
+ vX_[752] = vX_[733] - (vX_[977] * vX_[121] + vX_[755] * vX_[935]) - (vX_[945] * vX_[491] + vX_[52] * vX_[934]) - (vX_[474] * vX_[751] + vX_[104] * vX_[936]) - (vX_[984] * vX_[746] + vX_[74] * vX_[919]);
+ vX_[49] = (vX_[52] - vX_[978] * vX_[49]) / vX_[573];
+ vX_[35] = (vX_[35] - (vX_[689] * vX_[49] + vX_[48] * vX_[978]) - vX_[979] * vX_[83]) / vX_[570];
+ vX_[748] = (vX_[748] - (vX_[687] * vX_[35] + vX_[727] * vX_[979]) - (vX_[480] * vX_[49] + vX_[110] * vX_[978]) - vX_[980] * vX_[740]) / vX_[572];
+ vX_[944] = (vX_[944] - (vX_[932] * vX_[35] + vX_[44] * vX_[979]) - (vX_[949] * vX_[49] + vX_[726] * vX_[978]) - (vX_[946] * vX_[748] + vX_[475] * vX_[980]) - vX_[985] * vX_[26]) / vX_[976];
+ vX_[733] = (vX_[733] - (vX_[913] * vX_[35] + vX_[170] * vX_[979]) - (vX_[933] * vX_[49] + vX_[92] * vX_[978]) - (vX_[722] * vX_[748] + vX_[14] * vX_[980]) - (vX_[948] * vX_[944] + vX_[747] * vX_[985]) - vX_[986] * vX_[107]) / vX_[973];
+ vX_[752] = (vX_[86] * vX_[795] + vX_[616] * vX_[821] - (vX_[977] * vX_[96] + vX_[755] * vX_[561]) - (vX_[945] * vX_[25] + vX_[52] * vX_[872]) - (vX_[474] * vX_[93] + vX_[104] * vX_[563]) - (vX_[984] * vX_[479] + vX_[74] * vX_[618]) - (vX_[955] * vX_[911] + vX_[752] * vX_[899]) - vX_[568] * (vX_[100] + vX_[56] - (vX_[977] * vX_[35] + vX_[755] * vX_[979]) - (vX_[945] * vX_[49] + vX_[52] * vX_[978]) - (vX_[474] * vX_[748] + vX_[104] * vX_[980]) - (vX_[984] * vX_[944] + vX_[74] * vX_[985]) - (vX_[955] * vX_[733] + vX_[752] * vX_[986]))) / vX_[975];
+ jac[635] = - vX_[752];
+ vX_[733] = vX_[911] - (vX_[986] * vX_[752] + vX_[733] * vX_[568]);
+ jac[634] = - vX_[733];
+ vX_[944] = vX_[479] - (vX_[985] * vX_[752] + vX_[944] * vX_[568]) - (vX_[919] * vX_[733] + vX_[746] * vX_[358]);
+ jac[633] = - vX_[944];
+ vX_[748] = vX_[93] - (vX_[936] * vX_[733] + vX_[751] * vX_[358]) - (vX_[947] * vX_[944] + vX_[749] * vX_[912]) - (vX_[980] * vX_[752] + vX_[748] * vX_[568]);
+ jac[632] = - vX_[748];
+ vX_[35] = vX_[96] - (vX_[938] * vX_[944] + vX_[817] * vX_[912]) - (vX_[586] * vX_[748] + vX_[50] * vX_[452]) - (vX_[935] * vX_[733] + vX_[121] * vX_[358]) - (vX_[979] * vX_[752] + vX_[35] * vX_[568]);
+ jac[630] = vX_[574] * vX_[748] + vX_[90] * vX_[452] + vX_[688] * vX_[35] + vX_[753] * vX_[885] + vX_[937] * vX_[944] + vX_[98] * vX_[912] + vX_[934] * vX_[733] + vX_[491] * vX_[358] + vX_[978] * vX_[752] + vX_[49] * vX_[568] - vX_[25];
+ jac[631] = - vX_[35];
+ vX_[35] = -1 * jac[630];
+ vX_[748] = vX_[440] * jac[632] + vX_[360] * jac[631];
+ vX_[944] = vX_[360] * jac[632] + vX_[441] * jac[631];
+ vX_[733] = -1 * jac[633];
+ vX_[752] = 0.207 * jac[632] + vX_[733];
+ vX_[49] = vX_[610] * jac[632] + vX_[611] * jac[631] + vX_[438] * jac[630] + vX_[359] * jac[635] + vX_[612] * jac[634];
+ jac[636] = (0 - vX_[435] * vX_[35] - vX_[472] * vX_[748] - vX_[430] * vX_[944] - vX_[457] * vX_[752] - vX_[449] * (vX_[443] * jac[632] + vX_[442] * jac[631] + vX_[596] * jac[630] + vX_[440] * jac[635] + vX_[597] * jac[634]) - vX_[433] * vX_[49]) / vX_[435];
+ vX_[491] = -1 * vX_[748];
+ vX_[98] = vX_[35] + jac[636];
+ vX_[90] = vX_[361] * vX_[752] + vX_[625] * vX_[49] + vX_[592] * vX_[748];
+ vX_[49] = vX_[388] * vX_[752] + vX_[361] * vX_[49] + vX_[409] * vX_[748];
+ jac[637] = (0 - vX_[385] * vX_[491] - vX_[392] * (vX_[361] * vX_[98] + vX_[389] * vX_[944]) - vX_[373] * (vX_[388] * vX_[98] + vX_[361] * vX_[944]) - vX_[383] * vX_[90] - vX_[396] * vX_[49]) / vX_[385];
+ vX_[491] = vX_[491] + jac[637];
+ jac[638] = (0 - 0.1104774 * (vX_[362] * vX_[90] + vX_[636] * vX_[49] + vX_[637] * vX_[491]) - -0.0004405 * (vX_[364] * vX_[90] + vX_[362] * vX_[49] + vX_[367] * vX_[491]) - 0.026181 * vX_[491]) / 0.026181;
+ vX_[491] = vX_[318] * jac[632] + vX_[239] * jac[631];
+ vX_[49] = vX_[320] * jac[632] + vX_[318] * jac[631];
+ vX_[90] = 0.207 * jac[632] + jac[633];
+ vX_[98] = vX_[830] * jac[632] + vX_[831] * jac[631] + vX_[317] * jac[630] + vX_[832] * jac[635] + vX_[318] * jac[634];
+ jac[639] = (0 - vX_[314] * jac[630] - vX_[350] * vX_[491] - vX_[309] * vX_[49] - vX_[335] * vX_[90] - vX_[327] * (vX_[321] * jac[632] + vX_[319] * jac[631] + vX_[845] * jac[630] + vX_[318] * jac[635] + vX_[239] * jac[634]) - vX_[312] * vX_[98]) / vX_[314];
+ vX_[944] = jac[630] + jac[639];
+ vX_[752] = vX_[850] * vX_[90] + vX_[851] * vX_[98] + vX_[852] * vX_[491];
+ vX_[98] = vX_[267] * vX_[90] + vX_[240] * vX_[98] + vX_[289] * vX_[491];
+ jac[640] = (0 - vX_[264] * vX_[491] - vX_[271] * (vX_[287] * vX_[944] + vX_[268] * vX_[49]) - vX_[252] * (vX_[268] * vX_[944] + vX_[240] * vX_[49]) - vX_[262] * vX_[752] - vX_[275] * vX_[98]) / vX_[264];
+ vX_[491] = vX_[491] + jac[640];
+ jac[641] = (0 - 0.1104774 * (vX_[241] * vX_[752] + vX_[854] * vX_[98] + vX_[856] * vX_[491]) - -0.0004405 * (vX_[243] * vX_[752] + vX_[241] * vX_[98] + vX_[246] * vX_[491]) - 0.026181 * vX_[491]) / 0.026181;
+ vX_[491] = vX_[198] * jac[632] + vX_[128] * jac[631];
+ vX_[98] = vX_[128] * jac[632] + vX_[199] * jac[631];
+ vX_[733] = 0.207 * jac[632] + vX_[733];
+ vX_[752] = vX_[762] * jac[632] + vX_[763] * jac[631] + vX_[196] * jac[630] + vX_[764] * jac[635] + vX_[765] * jac[634];
+ jac[642] = (0 - vX_[193] * vX_[35] - vX_[230] * vX_[491] - vX_[188] * vX_[98] - vX_[215] * vX_[733] - vX_[207] * (vX_[201] * jac[632] + vX_[200] * jac[631] + vX_[701] * jac[630] + vX_[198] * jac[635] + vX_[127] * jac[634]) - vX_[191] * vX_[752]) / vX_[193];
+ vX_[944] = -1 * vX_[491];
+ vX_[35] = vX_[35] + jac[642];
+ vX_[49] = vX_[129] * vX_[733] + vX_[772] * vX_[752] + vX_[773] * vX_[491];
+ vX_[752] = vX_[149] * vX_[733] + vX_[129] * vX_[752] + vX_[167] * vX_[491];
+ jac[643] = (0 - vX_[146] * vX_[944] - 2.1e-05 * (vX_[129] * vX_[35] + vX_[150] * vX_[98]) - -0.000102 * (vX_[149] * vX_[35] + vX_[129] * vX_[98]) - vX_[144] * vX_[49] - vX_[154] * vX_[752]) / vX_[146];
+ vX_[944] = vX_[944] + jac[643];
+ jac[644] = (0 - 0.110125 * (vX_[132] * vX_[49] + vX_[782] * vX_[752] + vX_[783] * vX_[944]) - 0.000881 * (vX_[130] * vX_[49] + vX_[132] * vX_[752] + vX_[131] * vX_[944]) - 0.026181 * vX_[944]) / 0.026181;
+ vX_[944] = vX_[86] * jac[632] + vX_[24] * jac[631];
+ vX_[752] = vX_[88] * jac[632] + vX_[86] * jac[631];
+ vX_[49] = 0.207 * jac[632] + jac[633];
+ vX_[35] = vX_[649] * jac[632] + vX_[608] * jac[631] + vX_[85] * jac[630] + vX_[616] * jac[635] + vX_[86] * jac[634];
+ jac[645] = (vX_[70] - (vX_[82] * jac[630] + vX_[53] * vX_[760]) - (vX_[118] * vX_[944] + vX_[47] * vX_[99]) - (vX_[77] * vX_[752] + vX_[51] * vX_[116]) - (vX_[103] * vX_[49] + vX_[530] * vX_[416]) - (vX_[95] * (vX_[89] * jac[632] + vX_[87] * jac[631] + vX_[703] * jac[630] + vX_[86] * jac[635] + vX_[24] * jac[634]) + vX_[16] * vX_[69]) - (vX_[80] * vX_[35] + vX_[3] * vX_[534]) - vX_[951] * vX_[53]) / vX_[82];
+ vX_[530] = jac[630] + jac[645];
+ vX_[735] = vX_[55] * vX_[168] + vX_[38] * vX_[116] + vX_[735];
+ vX_[168] = vX_[38] * vX_[168] + vX_[33] * vX_[116] + vX_[736];
+ vX_[116] = vX_[708] * vX_[49] + vX_[709] * vX_[35] + vX_[710] * vX_[944];
+ vX_[738] = vX_[708] * vX_[416] + vX_[709] * vX_[534] + vX_[710] * vX_[99] + vX_[738];
+ vX_[35] = vX_[10] * vX_[49] + vX_[33] * vX_[35] + vX_[57] * vX_[944];
+ vX_[534] = vX_[10] * vX_[416] + vX_[33] * vX_[534] + vX_[57] * vX_[99] + vX_[739];
+ vX_[745] = (vX_[745] - vX_[17] * vX_[99] - vX_[6] * vX_[735] - vX_[23] * vX_[168] - vX_[15] * vX_[738] - vX_[43] * vX_[534]) / vX_[17];
+ jac[646] = (vX_[138] - (vX_[17] * vX_[944] + vX_[4] * vX_[99]) - (vX_[6] * (vX_[55] * vX_[530] + vX_[38] * vX_[752]) + vX_[41] * vX_[735]) - (vX_[23] * (vX_[38] * vX_[530] + vX_[33] * vX_[752]) + vX_[102] * vX_[168]) - (vX_[15] * vX_[116] + vX_[63] * vX_[738]) - (vX_[43] * vX_[35] + vX_[532] * vX_[534]) - vX_[745] * vX_[4]) / vX_[17];
+ vX_[944] = vX_[944] + jac[646];
+ vX_[745] = vX_[99] + vX_[745];
+ jac[647] = (vX_[544] - 0.1104774 * (vX_[20] * vX_[116] + vX_[202] * vX_[738] + vX_[712] * vX_[35] + vX_[122] * vX_[534] + vX_[714] * vX_[944] + vX_[137] * vX_[745] + vX_[216]) - 0.0004405 * (vX_[37] * vX_[116] + vX_[682] * vX_[738] + vX_[20] * vX_[35] + vX_[202] * vX_[534] + vX_[34] * vX_[944] + vX_[166] * vX_[745] + vX_[233]) - 0.026181 * vX_[944]) / 0.026181;
+ vX_[745] = 0 - (vX_[640] * vX_[703] + vX_[704]);
+ vX_[944] = vX_[640] + vX_[640];
+ vX_[534] = vX_[33] * vX_[85];
+ vX_[35] = vX_[697] * vX_[534];
+ vX_[738] = 0.08 + vX_[703];
+ vX_[116] = vX_[700] * vX_[738] + vX_[38] * vX_[705];
+ vX_[233] = vX_[700] * vX_[55] + vX_[38] * vX_[696];
+ vX_[216] = vX_[38] * vX_[697];
+ vX_[544] = vX_[709] * vX_[85];
+ vX_[137] = vX_[37] * vX_[544] + vX_[20] * vX_[534];
+ vX_[122] = vX_[707] * vX_[137];
+ vX_[166] = -0.35 * vX_[55] + vX_[738];
+ vX_[202] = vX_[20] * vX_[38] + vX_[37] * vX_[55];
+ vX_[682] = vX_[718] * vX_[166] + vX_[202] * vX_[706];
+ vX_[99] = vX_[36] * vX_[38] + vX_[20] * vX_[55];
+ vX_[168] = vX_[718] * vX_[99] + vX_[202] * vX_[702];
+ vX_[735] = vX_[20] * vX_[544] + vX_[712] * vX_[534];
+ vX_[166] = vX_[702] * vX_[166] + vX_[99] * vX_[706] - vX_[707] * vX_[735];
+ vX_[530] = 0.1104774 * (vX_[122] - vX_[682]) + 0.025941 * vX_[168] - -0.0004405 * vX_[166];
+ vX_[752] = 0 - vX_[530];
+ vX_[532] = vX_[99] * vX_[707];
+ vX_[102] = (- vX_[137]) * x_in[35];
+ vX_[41] = vX_[735] * x_in[35];
+ vX_[63] = vX_[99] * x_in[35];
+ vX_[4] = vX_[718] * vX_[202] + vX_[202] * vX_[718];
+ vX_[138] = -0.881 * (vX_[682] - vX_[122]) + 0.1104774 * vX_[168] + 8.81e-05 * vX_[532] + 0.414812462825713 * vX_[102] + -0.00185880198235362 * vX_[41] + -8.81e-05 * vX_[63] + (0.1104774 * vX_[752]) / 0.026181 - -0.0004405 * vX_[4];
+ vX_[416] = vX_[202] * vX_[707];
+ vX_[739] = (- vX_[202]) * x_in[35];
+ vX_[49] = vX_[702] * vX_[99] + vX_[99] * vX_[702];
+ vX_[168] = 0.881 * vX_[166] + 8.81e-05 * vX_[416] + -0.0004405 * vX_[168] + -0.00185880198235362 * vX_[102] + 0.880992588508842 * vX_[41] + 8.81e-05 * vX_[739] + (0.0004405 * vX_[752]) / 0.026181 - 0.1104774 * vX_[49];
+ vX_[738] = vX_[696] * vX_[738] + vX_[55] * vX_[705] - vX_[697] * vX_[544];
+ vX_[736] = vX_[55] * vX_[697];
+ vX_[70] = vX_[696] * vX_[55] + vX_[55] * vX_[696];
+ vX_[3] = vX_[700] * vX_[38] + vX_[38] * vX_[700];
+ vX_[530] = 0.47422804 * (vX_[35] - vX_[116]) + 0.081641 * vX_[233] + 2.1e-05 * vX_[216] + (0.026181 * vX_[752]) / 0.026181 + vX_[530] + vX_[714] * vX_[138] + vX_[34] * vX_[168] - 0.0825825 * vX_[738] - -0.000102 * vX_[736] - -0.007418 * (vX_[70] - vX_[3]);
+ vX_[16] = 0 - vX_[530];
+ vX_[51] = (- vX_[38]) * x_in[34];
+ vX_[53] = vX_[55] * x_in[34];
+ vX_[47] = (- vX_[534]) * x_in[34];
+ vX_[951] = vX_[544] * x_in[34];
+ vX_[116] = -3.146 * (vX_[116] - vX_[35]) + 0.47422804 * vX_[233] + vX_[20] * vX_[138] + vX_[37] * vX_[168] + vX_[31] * vX_[51] + vX_[13] * vX_[53] + vX_[66] * vX_[47] + vX_[68] * vX_[951] + (vX_[15] * vX_[16]) / vX_[17] - 0.0825825 * vX_[3];
+ vX_[738] = 3.146 * vX_[738] + 0.0825825 * vX_[233] + vX_[712] * vX_[138] + vX_[20] * vX_[168] + vX_[46] * vX_[51] + vX_[45] * vX_[53] + vX_[68] * vX_[47] + vX_[67] * vX_[951] + (vX_[43] * vX_[16]) / vX_[17] - 0.47422804 * vX_[70];
+ vX_[168] = (- vX_[85]) * x_in[33];
+ vX_[138] = vX_[703] * x_in[33];
+ vX_[35] = vX_[640] * vX_[85] + vX_[645];
+ vX_[735] = vX_[718] * vX_[735] + vX_[202] * vX_[715] - (vX_[702] * vX_[137] + vX_[99] * vX_[721]);
+ vX_[166] = 8.81e-05 * vX_[166] + 8.81e-05 * vX_[41] + 0.026409 * vX_[739] - 0.1104774 * vX_[735] - 0.025713 * vX_[416];
+ vX_[682] = -0.0004405 * vX_[735] + 8.81e-05 * (vX_[682] - vX_[122]) + -0.000227999999999999 * vX_[532] + -8.81e-05 * vX_[102] + 0.000468 * vX_[63];
+ vX_[735] = 0.881 * vX_[735] + 0.1104774 * vX_[416] + -0.0004405 * vX_[532] + -0.1104774 * vX_[739] + -0.0004405 * vX_[63] - 8.81e-05 * (vX_[49] + vX_[4]);
+ vX_[544] = vX_[700] * vX_[544] + vX_[38] * vX_[711] - (vX_[696] * vX_[534] + vX_[55] * vX_[713]);
+ vX_[3] = -0.007418 * vX_[736] + -0.000102 * (0 - vX_[3]) + vX_[20] * vX_[166] + vX_[37] * vX_[682] + -0.35 * vX_[735] + vX_[62] * vX_[51] + vX_[54] * vX_[53] + vX_[31] * vX_[47] + vX_[46] * vX_[951] + (vX_[6] * vX_[16]) / vX_[17] - 0.47422804 * vX_[544] - 0.084376 * vX_[216] - 2.1e-05 * vX_[233];
+ vX_[682] = 0.002735 * vX_[736] + 0.0825825 * vX_[544] + -0.000102 * vX_[233] + vX_[36] * vX_[166] + vX_[20] * vX_[682] + vX_[54] * vX_[51] + vX_[61] * vX_[53] + vX_[13] * vX_[47] + vX_[45] * vX_[951] + (vX_[23] * vX_[16]) / vX_[17] - -0.007418 * vX_[216] - 2.1e-05 * (0 - vX_[70]);
+ vX_[544] = 0.47422804 * vX_[216] + 3.146 * vX_[544] + 0.0825825 * vX_[736] + vX_[735] + vX_[29] * vX_[51] + vX_[42] * vX_[53];
+ vX_[735] = 0.1466472 * vX_[35] + -5.1e-05 * vX_[659] + vX_[55] * vX_[3] + vX_[38] * vX_[682] + 0.08 * vX_[544] - -0.022734 * vX_[587];
+ vX_[736] = 0 - vX_[735];
+ vX_[216] = vX_[659] * vX_[703] - vX_[587] * vX_[85];
+ vX_[530] = 0.5824264 * vX_[745] + -3.6e-05 * vX_[587] + -0.022734 * vX_[944] + (vX_[17] * vX_[16]) / vX_[17] + vX_[530] + vX_[710] * vX_[116] + vX_[57] * vX_[738] + vX_[119] * vX_[168] + vX_[108] * vX_[138] + (vX_[118] * vX_[736]) / vX_[82] - 0.1466472 * vX_[216] - -0.123672 * vX_[659];
+ vX_[682] = -0.133138 * vX_[587] + 0.5824264 * (0 - vX_[35]) + vX_[38] * vX_[3] + vX_[33] * vX_[682] + vX_[109] * vX_[168] + vX_[84] * vX_[138] + (vX_[77] * vX_[736]) / vX_[82] - -3.6e-05 * vX_[659] - -5.1e-05 * vX_[944];
+ vX_[216] = 3.44 * vX_[216] + 0.1466472 * vX_[659] + vX_[708] * vX_[116] + vX_[10] * vX_[738] + vX_[112] * vX_[168] + vX_[105] * vX_[138] + (vX_[103] * vX_[736]) / vX_[82];
+ vX_[544] = -3.44 * (0 - vX_[35]) + 0.5824264 * vX_[587] + vX_[544] + vX_[111] * vX_[168] + vX_[97] * vX_[138] + (vX_[95] * vX_[736]) / vX_[82];
+ vX_[738] = 3.44 * vX_[745] + 0.5824264 * vX_[659] + vX_[709] * vX_[116] + vX_[33] * vX_[738] + vX_[97] * vX_[168] + vX_[123] * vX_[138] + (vX_[80] * vX_[736]) / vX_[82] - 0.1466472 * vX_[944];
+ vX_[116] = 0 - (vX_[761] * vX_[701] + -1 * vX_[802]);
+ vX_[944] = vX_[757] * -1;
+ vX_[745] = vX_[761] * -1 + -1 * vX_[761];
+ vX_[35] = 0.08 + -1 * vX_[701];
+ vX_[3] = vX_[149] * -1;
+ vX_[166] = vX_[769] * vX_[35] + vX_[3] * vX_[808];
+ vX_[70] = vX_[129] * vX_[196];
+ vX_[233] = vX_[770] * vX_[70];
+ vX_[534] = vX_[129] * -1;
+ vX_[49] = vX_[769] * vX_[534] + vX_[3] * vX_[775];
+ vX_[739] = -0.35 * vX_[534] + vX_[35];
+ vX_[416] = vX_[132] * vX_[3] + vX_[130] * vX_[534];
+ vX_[4] = vX_[779] * vX_[739] + vX_[416] * vX_[812];
+ vX_[63] = vX_[772] * vX_[196];
+ vX_[532] = vX_[130] * vX_[63] + vX_[132] * vX_[70];
+ vX_[122] = vX_[780] * vX_[532];
+ vX_[99] = vX_[142] * vX_[3] + vX_[132] * vX_[534];
+ vX_[202] = vX_[779] * vX_[99] + vX_[416] * vX_[785];
+ vX_[137] = (- vX_[532]) * x_in[32];
+ vX_[69] = vX_[132] * vX_[63] + vX_[782] * vX_[70];
+ vX_[760] = vX_[69] * x_in[32];
+ vX_[739] = vX_[785] * vX_[739] + vX_[99] * vX_[812] - vX_[780] * vX_[69];
+ vX_[98] = 0.110125 * (vX_[122] - vX_[4]) + 0.025941 * vX_[202] - -0.000881 * vX_[739];
+ vX_[733] = 0 - vX_[98];
+ vX_[122] = -0.881 * (vX_[4] - vX_[122]) + 0.110125 * vX_[202] + 0.417781802643138 * vX_[137] + -0.00370574557885489 * vX_[760] + (0.110125 * vX_[733]) / 0.026181 - -0.000881 * (vX_[779] * vX_[416] + vX_[416] * vX_[779]);
+ vX_[739] = 0.881 * vX_[739] + -0.000881 * vX_[202] + -0.00370574557885489 * vX_[137] + 0.880970354035369 * vX_[760] + (0.000881 * vX_[733]) / 0.026181 - 0.110125 * (vX_[785] * vX_[99] + vX_[99] * vX_[785]);
+ vX_[202] = (- vX_[3]) * x_in[31];
+ vX_[4] = vX_[534] * x_in[31];
+ vX_[491] = (- vX_[70]) * x_in[31];
+ vX_[90] = vX_[63] * x_in[31];
+ vX_[748] = vX_[3] * vX_[770];
+ vX_[35] = vX_[775] * vX_[35] + vX_[534] * vX_[808] - vX_[770] * vX_[63];
+ vX_[753] = vX_[534] * vX_[770];
+ vX_[25] = vX_[775] * vX_[534] + vX_[534] * vX_[775];
+ vX_[885] = vX_[769] * vX_[3] + vX_[3] * vX_[769];
+ vX_[98] = 0.47422804 * (vX_[233] - vX_[166]) + 0.081641 * vX_[49] + 2.1e-05 * vX_[748] + (0.026181 * vX_[733]) / 0.026181 + vX_[98] + vX_[783] * vX_[122] + vX_[131] * vX_[739] - 0.0825825 * vX_[35] - -0.000102 * vX_[753] - -0.007418 * (vX_[25] - vX_[885]);
+ vX_[452] = 0 - vX_[98];
+ vX_[233] = -3.146 * (vX_[166] - vX_[233]) + 0.47422804 * vX_[49] + vX_[132] * vX_[122] + vX_[130] * vX_[739] + vX_[151] * vX_[202] + vX_[148] * vX_[4] + vX_[177] * vX_[491] + vX_[179] * vX_[90] + (vX_[144] * vX_[452]) / vX_[146] - 0.0825825 * vX_[885];
+ vX_[35] = 3.146 * vX_[35] + 0.0825825 * vX_[49] + vX_[782] * vX_[122] + vX_[132] * vX_[739] + vX_[157] * vX_[202] + vX_[156] * vX_[4] + vX_[179] * vX_[491] + vX_[178] * vX_[90] + (vX_[154] * vX_[452]) / vX_[146] - 0.47422804 * vX_[25];
+ vX_[739] = (- vX_[196]) * x_in[30];
+ vX_[122] = vX_[701] * x_in[30];
+ vX_[166] = vX_[761] * vX_[196] + -1 * vX_[766];
+ vX_[912] = vX_[756] * -1;
+ vX_[358] = (- vX_[416]) * x_in[32];
+ vX_[69] = vX_[779] * vX_[69] + vX_[416] * vX_[784] - (vX_[785] * vX_[532] + vX_[99] * vX_[786]);
+ vX_[416] = vX_[416] * vX_[780];
+ vX_[532] = 0.026409 * vX_[358] - 0.110125 * vX_[69] - 0.025713 * vX_[416];
+ vX_[568] = vX_[99] * vX_[780];
+ vX_[99] = vX_[99] * x_in[32];
+ vX_[121] = -0.000227999999999999 * vX_[568] + -0.000881 * vX_[69] + 0.000468 * vX_[99];
+ vX_[99] = 0.110125 * vX_[416] + 0.881 * vX_[69] + -0.000881 * vX_[568] + -0.110125 * vX_[358] + -0.000881 * vX_[99];
+ vX_[63] = vX_[769] * vX_[63] + vX_[3] * vX_[774] - (vX_[775] * vX_[70] + vX_[534] * vX_[776]);
+ vX_[885] = -0.007418 * vX_[753] + -0.000102 * (0 - vX_[885]) + vX_[132] * vX_[532] + vX_[130] * vX_[121] + -0.35 * vX_[99] + vX_[173] * vX_[202] + vX_[165] * vX_[4] + vX_[151] * vX_[491] + vX_[157] * vX_[90] + (2.1e-05 * vX_[452]) / vX_[146] - 0.47422804 * vX_[63] - 0.084376 * vX_[748] - 2.1e-05 * vX_[49];
+ vX_[121] = 0.002735 * vX_[753] + 0.0825825 * vX_[63] + -0.000102 * vX_[49] + vX_[142] * vX_[532] + vX_[132] * vX_[121] + vX_[165] * vX_[202] + vX_[172] * vX_[4] + vX_[148] * vX_[491] + vX_[156] * vX_[90] + (-0.000102 * vX_[452]) / vX_[146] - -0.007418 * vX_[748] - 2.1e-05 * (0 - vX_[25]);
+ vX_[63] = 0.47422804 * vX_[748] + 3.146 * vX_[63] + 0.0825825 * vX_[753] + vX_[99] + vX_[143] * vX_[202] + vX_[153] * vX_[4];
+ vX_[99] = 0.1466472 * vX_[166] + -5.1e-05 * vX_[912] + vX_[129] * vX_[885] + vX_[149] * vX_[121] + -0.08 * vX_[63] - 0.022734 * vX_[944];
+ vX_[753] = 0 - vX_[99];
+ vX_[748] = vX_[756] * vX_[701] - vX_[757] * vX_[196];
+ vX_[98] = -0.5824264 * vX_[116] + 3.6e-05 * vX_[944] + 0.022734 * vX_[745] + vX_[773] * vX_[233] + vX_[167] * vX_[35] + -1 * (vX_[98] + (vX_[146] * vX_[452]) / vX_[146]) + vX_[231] * vX_[739] + vX_[220] * vX_[122] + (vX_[230] * vX_[753]) / vX_[193] - 0.1466472 * vX_[748] - -0.123672 * vX_[912];
+ vX_[121] = -0.133138 * vX_[944] + -0.5824264 * (0 - vX_[166]) + vX_[150] * vX_[885] + vX_[129] * vX_[121] + vX_[221] * vX_[739] + vX_[195] * vX_[122] + (vX_[188] * vX_[753]) / vX_[193] - 3.6e-05 * vX_[912] - -5.1e-05 * vX_[745];
+ vX_[748] = 3.44 * vX_[748] + 0.1466472 * vX_[912] + vX_[129] * vX_[233] + vX_[149] * vX_[35] + vX_[224] * vX_[739] + vX_[217] * vX_[122] + (vX_[215] * vX_[753]) / vX_[193];
+ vX_[63] = -3.44 * (0 - vX_[166]) + -0.5824264 * vX_[944] + -1 * vX_[63] + vX_[223] * vX_[739] + vX_[209] * vX_[122] + (vX_[207] * vX_[753]) / vX_[193];
+ vX_[912] = 3.44 * vX_[116] + -0.5824264 * vX_[912] + vX_[772] * vX_[233] + vX_[129] * vX_[35] + vX_[209] * vX_[739] + vX_[235] * vX_[122] + (vX_[191] * vX_[753]) / vX_[193] - 0.1466472 * vX_[745];
+ vX_[35] = 0 - (vX_[829] * vX_[845] + vX_[846]);
+ vX_[233] = vX_[829] + vX_[829];
+ vX_[745] = vX_[240] * vX_[317];
+ vX_[116] = vX_[839] * vX_[745];
+ vX_[166] = 0.08 + vX_[845];
+ vX_[944] = vX_[842] * vX_[166] + vX_[268] * vX_[847];
+ vX_[885] = vX_[842] * vX_[287] + vX_[268] * vX_[838];
+ vX_[532] = vX_[268] * vX_[839];
+ vX_[25] = vX_[851] * vX_[317];
+ vX_[49] = vX_[243] * vX_[25] + vX_[241] * vX_[745];
+ vX_[534] = vX_[849] * vX_[49];
+ vX_[70] = -0.35 * vX_[287] + vX_[166];
+ vX_[3] = vX_[241] * vX_[268] + vX_[243] * vX_[287];
+ vX_[568] = vX_[860] * vX_[70] + vX_[3] * vX_[848];
+ vX_[416] = vX_[244] * vX_[268] + vX_[241] * vX_[287];
+ vX_[69] = vX_[860] * vX_[416] + vX_[3] * vX_[844];
+ vX_[358] = vX_[241] * vX_[25] + vX_[854] * vX_[745];
+ vX_[70] = vX_[844] * vX_[70] + vX_[416] * vX_[848] - vX_[849] * vX_[358];
+ vX_[817] = 0.1104774 * (vX_[534] - vX_[568]) + 0.025941 * vX_[69] - 0.0004405 * vX_[70];
+ vX_[50] = 0 - vX_[817];
+ vX_[96] = vX_[416] * vX_[849];
+ vX_[751] = (- vX_[49]) * x_in[29];
+ vX_[749] = vX_[358] * x_in[29];
+ vX_[93] = vX_[416] * x_in[29];
+ vX_[746] = vX_[860] * vX_[3] + vX_[3] * vX_[860];
+ vX_[479] = -0.881 * (vX_[568] - vX_[534]) + 0.1104774 * vX_[69] + -8.81e-05 * vX_[96] + 0.414812462825713 * vX_[751] + 0.00185880198235362 * vX_[749] + 8.81e-05 * vX_[93] + (0.1104774 * vX_[50]) / 0.026181 - 0.0004405 * vX_[746];
+ vX_[911] = vX_[3] * vX_[849];
+ vX_[74] = (- vX_[3]) * x_in[29];
+ vX_[104] = vX_[844] * vX_[416] + vX_[416] * vX_[844];
+ vX_[69] = 0.881 * vX_[70] + -8.81e-05 * vX_[911] + 0.0004405 * vX_[69] + 0.00185880198235362 * vX_[751] + 0.880992588508842 * vX_[749] + -8.81e-05 * vX_[74] + (-0.0004405 * vX_[50]) / 0.026181 - 0.1104774 * vX_[104];
+ vX_[166] = vX_[838] * vX_[166] + vX_[287] * vX_[847] - vX_[839] * vX_[25];
+ vX_[755] = vX_[287] * vX_[839];
+ vX_[52] = vX_[838] * vX_[287] + vX_[287] * vX_[838];
+ vX_[56] = vX_[842] * vX_[268] + vX_[268] * vX_[842];
+ vX_[817] = 0.47422804 * (vX_[116] - vX_[944]) + 0.081641 * vX_[885] + 2.1e-05 * vX_[532] + (0.026181 * vX_[50]) / 0.026181 + vX_[817] + vX_[856] * vX_[479] + vX_[246] * vX_[69] - -0.0825825 * vX_[166] - 0.000102 * vX_[755] - 0.007418 * (vX_[52] - vX_[56]);
+ vX_[100] = 0 - vX_[817];
+ vX_[821] = (- vX_[268]) * x_in[28];
+ vX_[795] = vX_[287] * x_in[28];
+ vX_[899] = (- vX_[745]) * x_in[28];
+ vX_[618] = vX_[25] * x_in[28];
+ vX_[944] = -3.146 * (vX_[944] - vX_[116]) + 0.47422804 * vX_[885] + vX_[241] * vX_[479] + vX_[243] * vX_[69] + vX_[272] * vX_[821] + vX_[266] * vX_[795] + vX_[298] * vX_[899] + vX_[300] * vX_[618] + (vX_[262] * vX_[100]) / vX_[264] - -0.0825825 * vX_[56];
+ vX_[166] = 3.146 * vX_[166] + -0.0825825 * vX_[885] + vX_[854] * vX_[479] + vX_[241] * vX_[69] + vX_[278] * vX_[821] + vX_[277] * vX_[795] + vX_[300] * vX_[899] + vX_[299] * vX_[618] + (vX_[275] * vX_[100]) / vX_[264] - 0.47422804 * vX_[52];
+ vX_[69] = (- vX_[317]) * x_in[27];
+ vX_[479] = vX_[845] * x_in[27];
+ vX_[116] = vX_[829] * vX_[317] + vX_[833];
+ vX_[358] = vX_[860] * vX_[358] + vX_[3] * vX_[857] - (vX_[844] * vX_[49] + vX_[416] * vX_[863]);
+ vX_[70] = -8.81e-05 * vX_[70] + -8.81e-05 * vX_[749] + 0.026409 * vX_[74] - 0.1104774 * vX_[358] - 0.025713 * vX_[911];
+ vX_[568] = 0.0004405 * vX_[358] + -8.81e-05 * (vX_[568] - vX_[534]) + -0.000227999999999999 * vX_[96] + 8.81e-05 * vX_[751] + 0.000468 * vX_[93];
+ vX_[358] = 0.881 * vX_[358] + 0.1104774 * vX_[911] + 0.0004405 * vX_[96] + -0.1104774 * vX_[74] + 0.0004405 * vX_[93] - -8.81e-05 * (vX_[104] + vX_[746]);
+ vX_[25] = vX_[842] * vX_[25] + vX_[268] * vX_[853] - (vX_[838] * vX_[745] + vX_[287] * vX_[855]);
+ vX_[56] = 0.007418 * vX_[755] + 0.000102 * (0 - vX_[56]) + vX_[241] * vX_[70] + vX_[243] * vX_[568] + -0.35 * vX_[358] + vX_[294] * vX_[821] + vX_[286] * vX_[795] + vX_[272] * vX_[899] + vX_[278] * vX_[618] + (vX_[271] * vX_[100]) / vX_[264] - 0.47422804 * vX_[25] - 0.084376 * vX_[532] - 2.1e-05 * vX_[885];
+ vX_[568] = 0.002735 * vX_[755] + -0.0825825 * vX_[25] + 0.000102 * vX_[885] + vX_[244] * vX_[70] + vX_[241] * vX_[568] + vX_[286] * vX_[821] + vX_[293] * vX_[795] + vX_[266] * vX_[899] + vX_[277] * vX_[618] + (vX_[252] * vX_[100]) / vX_[264] - 0.007418 * vX_[532] - 2.1e-05 * (0 - vX_[52]);
+ vX_[25] = 0.47422804 * vX_[532] + 3.146 * vX_[25] + -0.0825825 * vX_[755] + vX_[358] + vX_[261] * vX_[821] + vX_[274] * vX_[795];
+ vX_[358] = 0.1466472 * vX_[116] + -5.1e-05 * vX_[826] + vX_[287] * vX_[56] + vX_[268] * vX_[568] + 0.08 * vX_[25] - 0.022734 * vX_[827];
+ vX_[755] = 0 - vX_[358];
+ vX_[532] = vX_[826] * vX_[845] - vX_[827] * vX_[317];
+ vX_[817] = -0.5824264 * vX_[35] + 3.6e-05 * vX_[827] + 0.022734 * vX_[233] + (vX_[264] * vX_[100]) / vX_[264] + vX_[817] + vX_[852] * vX_[944] + vX_[289] * vX_[166] + vX_[351] * vX_[69] + vX_[340] * vX_[479] + (vX_[350] * vX_[755]) / vX_[314] - 0.1466472 * vX_[532] - -0.123672 * vX_[826];
+ vX_[568] = -0.133138 * vX_[827] + -0.5824264 * (0 - vX_[116]) + vX_[268] * vX_[56] + vX_[240] * vX_[568] + vX_[341] * vX_[69] + vX_[316] * vX_[479] + (vX_[309] * vX_[755]) / vX_[314] - 3.6e-05 * vX_[826] - -5.1e-05 * vX_[233];
+ vX_[532] = 3.44 * vX_[532] + 0.1466472 * vX_[826] + vX_[850] * vX_[944] + vX_[267] * vX_[166] + vX_[344] * vX_[69] + vX_[337] * vX_[479] + (vX_[335] * vX_[755]) / vX_[314];
+ vX_[25] = -3.44 * (0 - vX_[116]) + -0.5824264 * vX_[827] + vX_[25] + vX_[343] * vX_[69] + vX_[329] * vX_[479] + (vX_[327] * vX_[755]) / vX_[314];
+ vX_[166] = 3.44 * vX_[35] + -0.5824264 * vX_[826] + vX_[851] * vX_[944] + vX_[240] * vX_[166] + vX_[329] * vX_[69] + vX_[355] * vX_[479] + (vX_[312] * vX_[755]) / vX_[314] - 0.1466472 * vX_[233];
+ vX_[944] = 0 - (vX_[580] * vX_[596] + -1 * vX_[598]);
+ vX_[233] = vX_[601] * -1;
+ vX_[35] = vX_[580] * -1 + -1 * vX_[580];
+ vX_[116] = 0.08 + -1 * vX_[596];
+ vX_[56] = vX_[388] * -1;
+ vX_[70] = vX_[593] * vX_[116] + vX_[56] * vX_[599];
+ vX_[52] = vX_[361] * vX_[438];
+ vX_[885] = vX_[602] * vX_[52];
+ vX_[745] = vX_[361] * -1;
+ vX_[104] = vX_[593] * vX_[745] + vX_[56] * vX_[617];
+ vX_[74] = -0.35 * vX_[745] + vX_[116];
+ vX_[911] = vX_[362] * vX_[56] + vX_[364] * vX_[745];
+ vX_[746] = vX_[619] * vX_[74] + vX_[911] * vX_[622];
+ vX_[93] = vX_[625] * vX_[438];
+ vX_[96] = vX_[364] * vX_[93] + vX_[362] * vX_[52];
+ vX_[534] = vX_[624] * vX_[96];
+ vX_[416] = vX_[365] * vX_[56] + vX_[362] * vX_[745];
+ vX_[3] = vX_[619] * vX_[416] + vX_[911] * vX_[632];
+ vX_[49] = vX_[416] * vX_[624];
+ vX_[563] = (- vX_[96]) * x_in[26];
+ vX_[561] = vX_[362] * vX_[93] + vX_[636] * vX_[52];
+ vX_[872] = vX_[561] * x_in[26];
+ vX_[107] = vX_[416] * x_in[26];
+ vX_[74] = vX_[632] * vX_[74] + vX_[416] * vX_[622] - vX_[624] * vX_[561];
+ vX_[747] = 0.1104774 * (vX_[534] - vX_[746]) + 0.025941 * vX_[3] - 0.0004405 * vX_[74];
+ vX_[14] = 0 - vX_[747];
+ vX_[170] = vX_[619] * vX_[911] + vX_[911] * vX_[619];
+ vX_[92] = -0.881 * (vX_[746] - vX_[534]) + 0.1104774 * vX_[3] + -8.81e-05 * vX_[49] + 0.414812462825713 * vX_[563] + 0.00185880198235362 * vX_[872] + 8.81e-05 * vX_[107] + (0.1104774 * vX_[14]) / 0.026181 - 0.0004405 * vX_[170];
+ vX_[26] = vX_[911] * vX_[624];
+ vX_[475] = (- vX_[911]) * x_in[26];
+ vX_[44] = vX_[632] * vX_[416] + vX_[416] * vX_[632];
+ vX_[3] = 0.881 * vX_[74] + -8.81e-05 * vX_[26] + 0.0004405 * vX_[3] + 0.00185880198235362 * vX_[563] + 0.880992588508842 * vX_[872] + -8.81e-05 * vX_[475] + (-0.0004405 * vX_[14]) / 0.026181 - 0.1104774 * vX_[44];
+ vX_[726] = (- vX_[56]) * x_in[25];
+ vX_[740] = vX_[745] * x_in[25];
+ vX_[727] = (- vX_[52]) * x_in[25];
+ vX_[110] = vX_[93] * x_in[25];
+ vX_[83] = vX_[56] * vX_[602];
+ vX_[116] = vX_[617] * vX_[116] + vX_[745] * vX_[599] - vX_[602] * vX_[93];
+ vX_[48] = vX_[745] * vX_[602];
+ vX_[744] = vX_[617] * vX_[745] + vX_[745] * vX_[617];
+ vX_[482] = vX_[593] * vX_[56] + vX_[56] * vX_[593];
+ vX_[747] = 0.47422804 * (vX_[885] - vX_[70]) + 0.081641 * vX_[104] + 2.1e-05 * vX_[83] + (0.026181 * vX_[14]) / 0.026181 + vX_[747] + vX_[637] * vX_[92] + vX_[367] * vX_[3] - -0.0825825 * vX_[116] - 0.000102 * vX_[48] - 0.007418 * (vX_[744] - vX_[482]);
+ vX_[910] = 0 - vX_[747];
+ vX_[885] = -3.146 * (vX_[70] - vX_[885]) + 0.47422804 * vX_[104] + vX_[362] * vX_[92] + vX_[364] * vX_[3] + vX_[393] * vX_[726] + vX_[387] * vX_[740] + vX_[419] * vX_[727] + vX_[421] * vX_[110] + (vX_[383] * vX_[910]) / vX_[385] - -0.0825825 * vX_[482];
+ vX_[116] = 3.146 * vX_[116] + -0.0825825 * vX_[104] + vX_[636] * vX_[92] + vX_[362] * vX_[3] + vX_[399] * vX_[726] + vX_[398] * vX_[740] + vX_[421] * vX_[727] + vX_[420] * vX_[110] + (vX_[396] * vX_[910]) / vX_[385] - 0.47422804 * vX_[744];
+ vX_[3] = (- vX_[438]) * x_in[24];
+ vX_[92] = vX_[596] * x_in[24];
+ vX_[70] = vX_[580] * vX_[438] + -1 * vX_[613];
+ vX_[698] = vX_[588] * -1;
+ vX_[561] = vX_[619] * vX_[561] + vX_[911] * vX_[641] - (vX_[632] * vX_[96] + vX_[416] * vX_[629]);
+ vX_[74] = -8.81e-05 * vX_[74] + -8.81e-05 * vX_[872] + 0.026409 * vX_[475] - 0.1104774 * vX_[561] - 0.025713 * vX_[26];
+ vX_[534] = 0.0004405 * vX_[561] + -8.81e-05 * (vX_[746] - vX_[534]) + -0.000227999999999999 * vX_[49] + 8.81e-05 * vX_[563] + 0.000468 * vX_[107];
+ vX_[561] = 0.881 * vX_[561] + 0.1104774 * vX_[26] + 0.0004405 * vX_[49] + -0.1104774 * vX_[475] + 0.0004405 * vX_[107] - -8.81e-05 * (vX_[44] + vX_[170]);
+ vX_[93] = vX_[593] * vX_[93] + vX_[56] * vX_[628] - (vX_[617] * vX_[52] + vX_[745] * vX_[614]);
+ vX_[482] = 0.007418 * vX_[48] + 0.000102 * (0 - vX_[482]) + vX_[362] * vX_[74] + vX_[364] * vX_[534] + -0.35 * vX_[561] + vX_[415] * vX_[726] + vX_[407] * vX_[740] + vX_[393] * vX_[727] + vX_[399] * vX_[110] + (vX_[392] * vX_[910]) / vX_[385] - 0.47422804 * vX_[93] - 0.084376 * vX_[83] - 2.1e-05 * vX_[104];
+ vX_[534] = 0.002735 * vX_[48] + -0.0825825 * vX_[93] + 0.000102 * vX_[104] + vX_[365] * vX_[74] + vX_[362] * vX_[534] + vX_[407] * vX_[726] + vX_[414] * vX_[740] + vX_[387] * vX_[727] + vX_[398] * vX_[110] + (vX_[373] * vX_[910]) / vX_[385] - 0.007418 * vX_[83] - 2.1e-05 * (0 - vX_[744]);
+ vX_[93] = 0.47422804 * vX_[83] + 3.146 * vX_[93] + -0.0825825 * vX_[48] + vX_[561] + vX_[382] * vX_[726] + vX_[395] * vX_[740];
+ vX_[561] = 0.1466472 * vX_[70] + -5.1e-05 * vX_[698] + vX_[361] * vX_[482] + vX_[388] * vX_[534] + -0.08 * vX_[93] - -0.022734 * vX_[233];
+ vX_[48] = 0 - vX_[561];
+ vX_[83] = vX_[588] * vX_[596] - vX_[601] * vX_[438];
+ vX_[747] = 0.5824264 * vX_[944] + -3.6e-05 * vX_[233] + -0.022734 * vX_[35] + vX_[592] * vX_[885] + vX_[409] * vX_[116] + -1 * (vX_[747] + (vX_[385] * vX_[910]) / vX_[385]) + vX_[473] * vX_[3] + vX_[462] * vX_[92] + (vX_[472] * vX_[48]) / vX_[435] - 0.1466472 * vX_[83] - -0.123672 * vX_[698];
+ vX_[534] = -0.133138 * vX_[233] + 0.5824264 * (0 - vX_[70]) + vX_[389] * vX_[482] + vX_[361] * vX_[534] + vX_[463] * vX_[3] + vX_[437] * vX_[92] + (vX_[430] * vX_[48]) / vX_[435] - -3.6e-05 * vX_[698] - -5.1e-05 * vX_[35];
+ vX_[83] = 3.44 * vX_[83] + 0.1466472 * vX_[698] + vX_[361] * vX_[885] + vX_[388] * vX_[116] + vX_[466] * vX_[3] + vX_[459] * vX_[92] + (vX_[457] * vX_[48]) / vX_[435];
+ vX_[93] = -3.44 * (0 - vX_[70]) + 0.5824264 * vX_[233] + -1 * vX_[93] + vX_[465] * vX_[3] + vX_[451] * vX_[92] + (vX_[449] * vX_[48]) / vX_[435];
+ vX_[698] = 3.44 * vX_[944] + 0.5824264 * vX_[698] + vX_[625] * vX_[885] + vX_[361] * vX_[116] + vX_[451] * vX_[3] + vX_[477] * vX_[92] + (vX_[433] * vX_[48]) / vX_[435] - 0.1466472 * vX_[35];
+ vX_[116] = x_in[18] + x_in[18];
+ vX_[561] = (-0.0053433 * x_in[22] + 2.0678571 * x_in[23] + 0.190812 * x_in[19] + (vX_[82] * vX_[736]) / vX_[82] + vX_[735] + vX_[703] * vX_[544] + vX_[85] * vX_[738] + vX_[701] * vX_[63] + vX_[196] * vX_[912] + -1 * (vX_[99] + (vX_[193] * vX_[753]) / vX_[193]) + (vX_[314] * vX_[755]) / vX_[314] + vX_[358] + vX_[845] * vX_[25] + vX_[317] * vX_[166] + vX_[596] * vX_[93] + vX_[438] * vX_[698] + -1 * (vX_[561] + (vX_[435] * vX_[48]) / vX_[435]) - -0.00571 * x_in[20]) / vX_[573];
+ vX_[358] = (0.190812 * (0 - vX_[116]) + vX_[24] * vX_[530] + vX_[86] * vX_[682] + vX_[87] * vX_[544] + vX_[608] * vX_[738] + vX_[128] * vX_[98] + vX_[199] * vX_[121] + vX_[200] * vX_[63] + vX_[763] * vX_[912] + vX_[239] * vX_[817] + vX_[318] * vX_[568] + vX_[319] * vX_[25] + vX_[831] * vX_[166] + vX_[360] * vX_[747] + vX_[441] * vX_[534] + vX_[442] * vX_[93] + vX_[611] * vX_[698] - -1.1915559 * x_in[22] - 4.847485 * x_in[20] - 0.012668 * x_in[19] - vX_[689] * vX_[561]) / vX_[570];
+ vX_[534] = (-1.1915559 * (0 - x_in[23]) + 4.374212 * x_in[19] + 0.012668 * x_in[20] + vX_[86] * vX_[530] + vX_[88] * vX_[682] + 0.207 * vX_[216] + vX_[89] * vX_[544] + vX_[649] * vX_[738] + vX_[198] * vX_[98] + vX_[128] * vX_[121] + 0.207 * vX_[748] + vX_[201] * vX_[63] + vX_[762] * vX_[912] + vX_[318] * vX_[817] + vX_[320] * vX_[568] + 0.207 * vX_[532] + vX_[321] * vX_[25] + vX_[830] * vX_[166] + vX_[440] * vX_[747] + vX_[360] * vX_[534] + 0.207 * vX_[83] + vX_[443] * vX_[93] + vX_[610] * vX_[698] - -0.00571 * (0 - vX_[116]) - vX_[687] * vX_[358] - vX_[480] * vX_[561]) / vX_[572];
+ vX_[83] = (2.0678571 * x_in[20] + -0.0053433 * x_in[19] + vX_[216] + -1 * vX_[748] + vX_[532] + -1 * vX_[83] - vX_[932] * vX_[358] - vX_[949] * vX_[561] - vX_[946] * vX_[534]) / vX_[976];
+ vX_[532] = (-53.433 * x_in[23] + -1.1915559 * x_in[19] + vX_[24] * vX_[544] + vX_[86] * vX_[738] + vX_[127] * vX_[63] + vX_[765] * vX_[912] + vX_[239] * vX_[25] + vX_[318] * vX_[166] + vX_[597] * vX_[93] + vX_[612] * vX_[698] - -0.0053433 * vX_[116] - vX_[913] * vX_[358] - vX_[933] * vX_[561] - vX_[722] * vX_[534] - vX_[948] * vX_[83]) / vX_[973];
+ vX_[116] = (53.433 * x_in[22] + -1.1915559 * x_in[20] + vX_[86] * vX_[544] + vX_[616] * vX_[738] + vX_[198] * vX_[63] + vX_[764] * vX_[912] + vX_[318] * vX_[25] + vX_[832] * vX_[166] + vX_[440] * vX_[93] + vX_[359] * vX_[698] - 2.0678571 * vX_[116] - vX_[977] * vX_[358] - vX_[945] * vX_[561] - vX_[474] * vX_[534] - vX_[984] * vX_[83] - vX_[955] * vX_[532]) / vX_[975];
+ jac[671] = - vX_[116];
+ vX_[532] = vX_[532] - vX_[986] * vX_[116];
+ jac[670] = - vX_[532];
+ vX_[83] = vX_[83] - vX_[985] * vX_[116] - vX_[919] * vX_[532];
+ jac[669] = - vX_[83];
+ vX_[534] = vX_[534] - vX_[936] * vX_[532] - vX_[947] * vX_[83] - vX_[980] * vX_[116];
+ jac[668] = - vX_[534];
+ vX_[358] = vX_[358] - vX_[938] * vX_[83] - vX_[586] * vX_[534] - vX_[935] * vX_[532] - vX_[979] * vX_[116];
+ jac[666] = vX_[574] * vX_[534] + vX_[688] * vX_[358] + vX_[937] * vX_[83] + vX_[934] * vX_[532] + vX_[978] * vX_[116] - vX_[561];
+ jac[667] = - vX_[358];
+ vX_[358] = -1 * jac[666];
+ vX_[534] = vX_[440] * jac[668] + vX_[360] * jac[667];
+ vX_[83] = vX_[360] * jac[668] + vX_[441] * jac[667];
+ vX_[532] = -1 * jac[669];
+ vX_[116] = 0.207 * jac[668] + vX_[532];
+ vX_[92] = vX_[610] * jac[668] + vX_[611] * jac[667] + vX_[438] * jac[666] + vX_[359] * jac[671] + vX_[612] * jac[670] + vX_[92];
+ jac[672] = (vX_[48] - vX_[435] * vX_[358] - vX_[472] * vX_[534] - vX_[430] * vX_[83] - vX_[457] * vX_[116] - vX_[449] * (vX_[443] * jac[668] + vX_[442] * jac[667] + vX_[596] * jac[666] + vX_[440] * jac[671] + vX_[597] * jac[670] + vX_[3]) - vX_[433] * vX_[92]) / vX_[435];
+ vX_[48] = -1 * vX_[534];
+ vX_[3] = vX_[358] + jac[672];
+ vX_[727] = vX_[361] * vX_[116] + vX_[625] * vX_[92] + vX_[592] * vX_[534] + vX_[727];
+ vX_[92] = vX_[388] * vX_[116] + vX_[361] * vX_[92] + vX_[409] * vX_[534] + vX_[110];
+ jac[673] = (vX_[910] - vX_[385] * vX_[48] - vX_[392] * (vX_[361] * vX_[3] + vX_[389] * vX_[83] + vX_[726]) - vX_[373] * (vX_[388] * vX_[3] + vX_[361] * vX_[83] + vX_[740]) - vX_[383] * vX_[727] - vX_[396] * vX_[92]) / vX_[385];
+ vX_[48] = vX_[48] + jac[673];
+ jac[674] = (vX_[14] - 0.1104774 * (vX_[362] * vX_[727] + vX_[636] * vX_[92] + vX_[637] * vX_[48] + vX_[563]) - -0.0004405 * (vX_[364] * vX_[727] + vX_[362] * vX_[92] + vX_[367] * vX_[48] + vX_[872]) - 0.026181 * vX_[48]) / 0.026181;
+ vX_[48] = vX_[318] * jac[668] + vX_[239] * jac[667];
+ vX_[92] = vX_[320] * jac[668] + vX_[318] * jac[667];
+ vX_[727] = 0.207 * jac[668] + jac[669];
+ vX_[479] = vX_[830] * jac[668] + vX_[831] * jac[667] + vX_[317] * jac[666] + vX_[832] * jac[671] + vX_[318] * jac[670] + vX_[479];
+ jac[675] = (vX_[755] - vX_[314] * jac[666] - vX_[350] * vX_[48] - vX_[309] * vX_[92] - vX_[335] * vX_[727] - vX_[327] * (vX_[321] * jac[668] + vX_[319] * jac[667] + vX_[845] * jac[666] + vX_[318] * jac[671] + vX_[239] * jac[670] + vX_[69]) - vX_[312] * vX_[479]) / vX_[314];
+ vX_[755] = jac[666] + jac[675];
+ vX_[899] = vX_[850] * vX_[727] + vX_[851] * vX_[479] + vX_[852] * vX_[48] + vX_[899];
+ vX_[479] = vX_[267] * vX_[727] + vX_[240] * vX_[479] + vX_[289] * vX_[48] + vX_[618];
+ jac[676] = (vX_[100] - vX_[264] * vX_[48] - vX_[271] * (vX_[287] * vX_[755] + vX_[268] * vX_[92] + vX_[821]) - vX_[252] * (vX_[268] * vX_[755] + vX_[240] * vX_[92] + vX_[795]) - vX_[262] * vX_[899] - vX_[275] * vX_[479]) / vX_[264];
+ vX_[48] = vX_[48] + jac[676];
+ jac[677] = (vX_[50] - 0.1104774 * (vX_[241] * vX_[899] + vX_[854] * vX_[479] + vX_[856] * vX_[48] + vX_[751]) - -0.0004405 * (vX_[243] * vX_[899] + vX_[241] * vX_[479] + vX_[246] * vX_[48] + vX_[749]) - 0.026181 * vX_[48]) / 0.026181;
+ vX_[48] = vX_[198] * jac[668] + vX_[128] * jac[667];
+ vX_[479] = vX_[128] * jac[668] + vX_[199] * jac[667];
+ vX_[532] = 0.207 * jac[668] + vX_[532];
+ vX_[122] = vX_[762] * jac[668] + vX_[763] * jac[667] + vX_[196] * jac[666] + vX_[764] * jac[671] + vX_[765] * jac[670] + vX_[122];
+ jac[678] = (vX_[753] - vX_[193] * vX_[358] - vX_[230] * vX_[48] - vX_[188] * vX_[479] - vX_[215] * vX_[532] - vX_[207] * (vX_[201] * jac[668] + vX_[200] * jac[667] + vX_[701] * jac[666] + vX_[198] * jac[671] + vX_[127] * jac[670] + vX_[739]) - vX_[191] * vX_[122]) / vX_[193];
+ vX_[753] = -1 * vX_[48];
+ vX_[358] = vX_[358] + jac[678];
+ vX_[491] = vX_[129] * vX_[532] + vX_[772] * vX_[122] + vX_[773] * vX_[48] + vX_[491];
+ vX_[122] = vX_[149] * vX_[532] + vX_[129] * vX_[122] + vX_[167] * vX_[48] + vX_[90];
+ jac[679] = (vX_[452] - vX_[146] * vX_[753] - 2.1e-05 * (vX_[129] * vX_[358] + vX_[150] * vX_[479] + vX_[202]) - -0.000102 * (vX_[149] * vX_[358] + vX_[129] * vX_[479] + vX_[4]) - vX_[144] * vX_[491] - vX_[154] * vX_[122]) / vX_[146];
+ vX_[753] = vX_[753] + jac[679];
+ jac[680] = (vX_[733] - 0.110125 * (vX_[132] * vX_[491] + vX_[782] * vX_[122] + vX_[783] * vX_[753] + vX_[137]) - 0.000881 * (vX_[130] * vX_[491] + vX_[132] * vX_[122] + vX_[131] * vX_[753] + vX_[760]) - 0.026181 * vX_[753]) / 0.026181;
+ vX_[753] = vX_[86] * jac[668] + vX_[24] * jac[667];
+ vX_[122] = vX_[88] * jac[668] + vX_[86] * jac[667];
+ vX_[491] = 0.207 * jac[668] + jac[669];
+ vX_[138] = vX_[649] * jac[668] + vX_[608] * jac[667] + vX_[85] * jac[666] + vX_[616] * jac[671] + vX_[86] * jac[670] + vX_[138];
+ jac[681] = (vX_[736] - vX_[82] * jac[666] - vX_[118] * vX_[753] - vX_[77] * vX_[122] - vX_[103] * vX_[491] - vX_[95] * (vX_[89] * jac[668] + vX_[87] * jac[667] + vX_[703] * jac[666] + vX_[86] * jac[671] + vX_[24] * jac[670] + vX_[168]) - vX_[80] * vX_[138]) / vX_[82];
+ vX_[736] = jac[666] + jac[681];
+ vX_[47] = vX_[708] * vX_[491] + vX_[709] * vX_[138] + vX_[710] * vX_[753] + vX_[47];
+ vX_[138] = vX_[10] * vX_[491] + vX_[33] * vX_[138] + vX_[57] * vX_[753] + vX_[951];
+ jac[682] = (vX_[16] - vX_[17] * vX_[753] - vX_[6] * (vX_[55] * vX_[736] + vX_[38] * vX_[122] + vX_[51]) - vX_[23] * (vX_[38] * vX_[736] + vX_[33] * vX_[122] + vX_[53]) - vX_[15] * vX_[47] - vX_[43] * vX_[138]) / vX_[17];
+ vX_[753] = vX_[753] + jac[682];
+ jac[683] = (vX_[752] - 0.1104774 * (vX_[20] * vX_[47] + vX_[712] * vX_[138] + vX_[714] * vX_[753] + vX_[102]) - 0.0004405 * (vX_[37] * vX_[47] + vX_[20] * vX_[138] + vX_[34] * vX_[753] + vX_[41]) - 0.026181 * vX_[753]) / 0.026181;
+ vX_[753] = vX_[24] * vX_[693] - vX_[640] * vX_[87];
+ vX_[138] = vX_[24] * vX_[640];
+ vX_[47] = vX_[659] * vX_[86] + vX_[86] * vX_[659];
+ vX_[41] = vX_[33] * vX_[608] + vX_[57] * vX_[24];
+ vX_[102] = vX_[697] * vX_[41] + vX_[24] * vX_[713];
+ vX_[752] = vX_[33] * vX_[86];
+ vX_[736] = vX_[700] * vX_[87] + vX_[752] * vX_[705];
+ vX_[122] = vX_[38] * vX_[86];
+ vX_[53] = vX_[700] * vX_[122] + vX_[752] * vX_[696];
+ vX_[51] = vX_[700] * vX_[24] + vX_[752] * vX_[697];
+ vX_[16] = vX_[709] * vX_[608] + vX_[710] * vX_[24];
+ vX_[491] = vX_[37] * vX_[16] + vX_[20] * vX_[41] + vX_[34] * vX_[24];
+ vX_[951] = vX_[707] * vX_[491] + vX_[24] * vX_[721];
+ vX_[168] = -0.35 * vX_[122] + vX_[87];
+ vX_[733] = vX_[20] * vX_[752] + vX_[37] * vX_[122];
+ vX_[760] = vX_[718] * vX_[168] + vX_[733] * vX_[706];
+ vX_[137] = vX_[36] * vX_[752] + vX_[20] * vX_[122];
+ vX_[358] = vX_[718] * vX_[137] + vX_[733] * vX_[702];
+ vX_[479] = vX_[20] * vX_[16] + vX_[712] * vX_[41] + vX_[714] * vX_[24];
+ vX_[168] = vX_[702] * vX_[168] + vX_[137] * vX_[706] - (vX_[707] * vX_[479] + vX_[24] * vX_[715]);
+ vX_[452] = 0.1104774 * (vX_[951] - vX_[760]) + 0.025941 * vX_[358] - -0.0004405 * vX_[168];
+ vX_[4] = 0 - vX_[452];
+ vX_[202] = vX_[702] * vX_[24] + vX_[137] * vX_[707];
+ vX_[532] = (- vX_[491]) * x_in[35];
+ vX_[48] = vX_[479] * x_in[35];
+ vX_[90] = vX_[137] * x_in[35];
+ vX_[739] = vX_[707] * vX_[24] + vX_[24] * vX_[707];
+ vX_[899] = vX_[718] * vX_[733] + vX_[733] * vX_[718];
+ vX_[749] = -0.881 * (vX_[760] - vX_[951]) + 0.1104774 * vX_[358] + 8.81e-05 * vX_[202] + 0.414812462825713 * vX_[532] + -0.00185880198235362 * vX_[48] + -8.81e-05 * vX_[90] + (0.1104774 * vX_[4]) / 0.026181 - -0.0004405 * (vX_[739] + vX_[899]);
+ vX_[751] = vX_[718] * vX_[24] + vX_[733] * vX_[707];
+ vX_[50] = (- vX_[733]) * x_in[35];
+ vX_[755] = vX_[702] * vX_[137] + vX_[137] * vX_[702];
+ vX_[739] = 0.881 * vX_[168] + 8.81e-05 * vX_[751] + -0.0004405 * vX_[358] + -0.00185880198235362 * vX_[532] + 0.880992588508842 * vX_[48] + 8.81e-05 * vX_[50] + (0.0004405 * vX_[4]) / 0.026181 - 0.1104774 * (vX_[739] + vX_[755]);
+ vX_[358] = vX_[696] * vX_[87] + vX_[122] * vX_[705] - (vX_[697] * vX_[16] + vX_[24] * vX_[711]);
+ vX_[92] = vX_[696] * vX_[24] + vX_[122] * vX_[697];
+ vX_[795] = vX_[696] * vX_[122] + vX_[122] * vX_[696];
+ vX_[821] = vX_[700] * vX_[752] + vX_[752] * vX_[700];
+ vX_[452] = 0.47422804 * (vX_[102] - vX_[736]) + 0.081641 * vX_[53] + 2.1e-05 * vX_[51] + (0.026181 * vX_[4]) / 0.026181 + vX_[452] + vX_[714] * vX_[749] + vX_[34] * vX_[739] - 0.0825825 * vX_[358] - -0.000102 * vX_[92] - -0.007418 * (vX_[795] - vX_[821]);
+ vX_[100] = 0 - vX_[452];
+ vX_[727] = (- vX_[752]) * x_in[34];
+ vX_[618] = vX_[122] * x_in[34];
+ vX_[69] = (- vX_[41]) * x_in[34];
+ vX_[14] = vX_[16] * x_in[34];
+ vX_[872] = vX_[697] * vX_[24] + vX_[24] * vX_[697];
+ vX_[736] = -3.146 * (vX_[736] - vX_[102]) + 0.47422804 * vX_[53] + vX_[20] * vX_[749] + vX_[37] * vX_[739] + vX_[31] * vX_[727] + vX_[13] * vX_[618] + vX_[66] * vX_[69] + vX_[68] * vX_[14] + (vX_[15] * vX_[100]) / vX_[17] - 0.0825825 * (vX_[872] + vX_[821]);
+ vX_[358] = 3.146 * vX_[358] + 0.0825825 * vX_[53] + vX_[712] * vX_[749] + vX_[20] * vX_[739] + vX_[46] * vX_[727] + vX_[45] * vX_[618] + vX_[68] * vX_[69] + vX_[67] * vX_[14] + (vX_[43] * vX_[100]) / vX_[17] - 0.47422804 * (vX_[872] + vX_[795]);
+ vX_[739] = (- vX_[86]) * x_in[33];
+ vX_[749] = vX_[24] * x_in[33];
+ vX_[102] = (- vX_[608]) * x_in[33];
+ vX_[563] = vX_[87] * x_in[33];
+ vX_[3] = vX_[659] * vX_[24] + vX_[86] * vX_[587];
+ vX_[83] = vX_[640] * vX_[608];
+ vX_[910] = vX_[86] * vX_[693];
+ vX_[740] = vX_[86] * vX_[640];
+ vX_[479] = vX_[718] * vX_[479] + vX_[733] * vX_[715] - (vX_[702] * vX_[491] + vX_[137] * vX_[721]);
+ vX_[168] = 8.81e-05 * vX_[168] + 8.81e-05 * vX_[48] + 0.026409 * vX_[50] - 0.1104774 * vX_[479] - 0.025713 * vX_[751];
+ vX_[760] = -0.0004405 * vX_[479] + 8.81e-05 * (vX_[760] - vX_[951]) + -0.000227999999999999 * vX_[202] + -8.81e-05 * vX_[532] + 0.000468 * vX_[90];
+ vX_[479] = 0.881 * vX_[479] + 0.1104774 * vX_[751] + -0.0004405 * vX_[202] + -0.1104774 * vX_[50] + -0.0004405 * vX_[90] - 8.81e-05 * (vX_[755] + vX_[899]);
+ vX_[16] = vX_[700] * vX_[16] + vX_[752] * vX_[711] - (vX_[696] * vX_[41] + vX_[122] * vX_[713]);
+ vX_[821] = -0.007418 * vX_[92] + -0.000102 * (vX_[872] - vX_[821]) + vX_[20] * vX_[168] + vX_[37] * vX_[760] + -0.35 * vX_[479] + vX_[62] * vX_[727] + vX_[54] * vX_[618] + vX_[31] * vX_[69] + vX_[46] * vX_[14] + (vX_[6] * vX_[100]) / vX_[17] - 0.47422804 * vX_[16] - 0.084376 * vX_[51] - 2.1e-05 * vX_[53];
+ vX_[760] = 0.002735 * vX_[92] + 0.0825825 * vX_[16] + -0.000102 * vX_[53] + vX_[36] * vX_[168] + vX_[20] * vX_[760] + vX_[54] * vX_[727] + vX_[61] * vX_[618] + vX_[13] * vX_[69] + vX_[45] * vX_[14] + (vX_[23] * vX_[100]) / vX_[17] - -0.007418 * vX_[51] - 2.1e-05 * (vX_[872] - vX_[795]);
+ vX_[16] = 0.47422804 * vX_[51] + 3.146 * vX_[16] + 0.0825825 * vX_[92] + vX_[479] + vX_[29] * vX_[727] + vX_[42] * vX_[618];
+ vX_[479] = vX_[587] * vX_[24] + vX_[24] * vX_[587];
+ vX_[92] = 0.009466 * vX_[3] + 0.1466472 * (vX_[83] - vX_[910]) + -5.1e-05 * vX_[740] + vX_[55] * vX_[821] + vX_[38] * vX_[760] + 0.08 * vX_[16] - -0.022734 * vX_[138] - -3.6e-05 * (vX_[479] - vX_[47]);
+ vX_[51] = 0 - vX_[92];
+ vX_[168] = vX_[659] * vX_[87] + vX_[86] * vX_[704] - (vX_[587] * vX_[608] + vX_[24] * vX_[645]);
+ vX_[452] = 0.5824264 * vX_[753] + -3.6e-05 * vX_[138] + -0.022734 * (0 - vX_[47]) + (vX_[17] * vX_[100]) / vX_[17] + vX_[452] + vX_[710] * vX_[736] + vX_[57] * vX_[358] + vX_[483] * vX_[739] + vX_[538] * vX_[749] + vX_[119] * vX_[102] + vX_[108] * vX_[563] + (vX_[118] * vX_[51]) / vX_[82] - 0.1466472 * vX_[168] - -0.123672 * vX_[740] - -5.1e-05 * vX_[3];
+ vX_[760] = -0.133138 * vX_[138] + 0.5824264 * (vX_[910] - vX_[83]) + -0.022734 * vX_[3] + vX_[38] * vX_[821] + vX_[33] * vX_[760] + vX_[538] * vX_[739] + vX_[81] * vX_[749] + vX_[109] * vX_[102] + vX_[84] * vX_[563] + (vX_[77] * vX_[51]) / vX_[82] - -3.6e-05 * vX_[740] - -5.1e-05 * (0 - vX_[479]);
+ vX_[168] = 3.44 * vX_[168] + 0.1466472 * vX_[740] + vX_[708] * vX_[736] + vX_[10] * vX_[358] + vX_[94] * vX_[739] + vX_[71] * vX_[749] + vX_[112] * vX_[102] + vX_[105] * vX_[563] + (vX_[103] * vX_[51]) / vX_[82] - 0.5824264 * (vX_[479] + vX_[47]);
+ vX_[16] = 0.1466472 * vX_[3] + -3.44 * (vX_[910] - vX_[83]) + 0.5824264 * vX_[138] + vX_[16] + vX_[119] * vX_[739] + vX_[109] * vX_[749] + vX_[111] * vX_[102] + vX_[97] * vX_[563] + (vX_[95] * vX_[51]) / vX_[82];
+ vX_[479] = 3.44 * vX_[753] + 0.5824264 * vX_[740] + vX_[709] * vX_[736] + vX_[33] * vX_[358] + vX_[108] * vX_[739] + vX_[84] * vX_[749] + vX_[97] * vX_[102] + vX_[123] * vX_[563] + (vX_[80] * vX_[51]) / vX_[82] - 0.1466472 * vX_[479];
+ vX_[740] = vX_[128] * vX_[759] - vX_[761] * vX_[200];
+ vX_[358] = vX_[128] * vX_[761];
+ vX_[736] = vX_[756] * vX_[199] + vX_[199] * vX_[756];
+ vX_[753] = -1 * vX_[200];
+ vX_[910] = vX_[129] * vX_[199];
+ vX_[83] = vX_[769] * vX_[753] + vX_[910] * vX_[808];
+ vX_[3] = vX_[129] * vX_[763] + vX_[167] * vX_[128];
+ vX_[138] = -1 * vX_[128];
+ vX_[47] = vX_[770] * vX_[3] + vX_[138] * vX_[776];
+ vX_[821] = vX_[150] * vX_[199];
+ vX_[872] = vX_[769] * vX_[821] + vX_[910] * vX_[775];
+ vX_[795] = -0.35 * vX_[821] + vX_[753];
+ vX_[53] = vX_[132] * vX_[910] + vX_[130] * vX_[821];
+ vX_[122] = vX_[779] * vX_[795] + vX_[53] * vX_[812];
+ vX_[752] = vX_[772] * vX_[763] + vX_[773] * vX_[128];
+ vX_[41] = vX_[130] * vX_[752] + vX_[132] * vX_[3] + vX_[131] * vX_[138];
+ vX_[755] = vX_[780] * vX_[41] + vX_[138] * vX_[786];
+ vX_[50] = vX_[142] * vX_[910] + vX_[132] * vX_[821];
+ vX_[751] = vX_[779] * vX_[50] + vX_[53] * vX_[785];
+ vX_[899] = (- vX_[41]) * x_in[32];
+ vX_[90] = vX_[132] * vX_[752] + vX_[782] * vX_[3] + vX_[783] * vX_[138];
+ vX_[202] = vX_[90] * x_in[32];
+ vX_[795] = vX_[785] * vX_[795] + vX_[50] * vX_[812] - (vX_[780] * vX_[90] + vX_[138] * vX_[784]);
+ vX_[951] = 0.110125 * (vX_[755] - vX_[122]) + 0.025941 * vX_[751] - -0.000881 * vX_[795];
+ vX_[137] = 0 - vX_[951];
+ vX_[733] = vX_[780] * vX_[138] + vX_[138] * vX_[780];
+ vX_[755] = -0.881 * (vX_[122] - vX_[755]) + 0.110125 * vX_[751] + 0.417781802643138 * vX_[899] + -0.00370574557885489 * vX_[202] + (0.110125 * vX_[137]) / 0.026181 - -0.000881 * (vX_[733] + vX_[779] * vX_[53] + vX_[53] * vX_[779]);
+ vX_[733] = 0.881 * vX_[795] + -0.000881 * vX_[751] + -0.00370574557885489 * vX_[899] + 0.880970354035369 * vX_[202] + (0.000881 * vX_[137]) / 0.026181 - 0.110125 * (vX_[733] + vX_[785] * vX_[50] + vX_[50] * vX_[785]);
+ vX_[795] = (- vX_[910]) * x_in[31];
+ vX_[751] = vX_[821] * x_in[31];
+ vX_[122] = (- vX_[3]) * x_in[31];
+ vX_[491] = vX_[752] * x_in[31];
+ vX_[726] = vX_[769] * vX_[138] + vX_[910] * vX_[770];
+ vX_[753] = vX_[775] * vX_[753] + vX_[821] * vX_[808] - (vX_[770] * vX_[752] + vX_[138] * vX_[774]);
+ vX_[116] = vX_[775] * vX_[138] + vX_[821] * vX_[770];
+ vX_[534] = vX_[775] * vX_[821] + vX_[821] * vX_[775];
+ vX_[110] = vX_[769] * vX_[910] + vX_[910] * vX_[769];
+ vX_[951] = 0.47422804 * (vX_[47] - vX_[83]) + 0.081641 * vX_[872] + 2.1e-05 * vX_[726] + (0.026181 * vX_[137]) / 0.026181 + vX_[951] + vX_[783] * vX_[755] + vX_[131] * vX_[733] - 0.0825825 * vX_[753] - -0.000102 * vX_[116] - -0.007418 * (vX_[534] - vX_[110]);
+ vX_[561] = 0 - vX_[951];
+ vX_[698] = vX_[770] * vX_[138] + vX_[138] * vX_[770];
+ vX_[47] = -3.146 * (vX_[83] - vX_[47]) + 0.47422804 * vX_[872] + vX_[132] * vX_[755] + vX_[130] * vX_[733] + vX_[151] * vX_[795] + vX_[148] * vX_[751] + vX_[177] * vX_[122] + vX_[179] * vX_[491] + (vX_[144] * vX_[561]) / vX_[146] - 0.0825825 * (vX_[698] + vX_[110]);
+ vX_[753] = 3.146 * vX_[753] + 0.0825825 * vX_[872] + vX_[782] * vX_[755] + vX_[132] * vX_[733] + vX_[157] * vX_[795] + vX_[156] * vX_[751] + vX_[179] * vX_[122] + vX_[178] * vX_[491] + (vX_[154] * vX_[561]) / vX_[146] - 0.47422804 * (vX_[698] + vX_[534]);
+ vX_[733] = (- vX_[199]) * x_in[30];
+ vX_[755] = vX_[128] * x_in[30];
+ vX_[83] = (- vX_[763]) * x_in[30];
+ vX_[93] = vX_[200] * x_in[30];
+ vX_[166] = vX_[756] * vX_[128] + vX_[199] * vX_[757];
+ vX_[25] = vX_[761] * vX_[763];
+ vX_[912] = vX_[199] * vX_[759];
+ vX_[63] = vX_[199] * vX_[761];
+ vX_[738] = (- vX_[53]) * x_in[32];
+ vX_[90] = vX_[779] * vX_[90] + vX_[53] * vX_[784] - (vX_[785] * vX_[41] + vX_[50] * vX_[786]);
+ vX_[53] = vX_[779] * vX_[138] + vX_[53] * vX_[780];
+ vX_[41] = 0.026409 * vX_[738] - 0.110125 * vX_[90] - 0.025713 * vX_[53];
+ vX_[138] = vX_[785] * vX_[138] + vX_[50] * vX_[780];
+ vX_[50] = vX_[50] * x_in[32];
+ vX_[544] = -0.000227999999999999 * vX_[138] + -0.000881 * vX_[90] + 0.000468 * vX_[50];
+ vX_[50] = 0.110125 * vX_[53] + 0.881 * vX_[90] + -0.000881 * vX_[138] + -0.110125 * vX_[738] + -0.000881 * vX_[50];
+ vX_[752] = vX_[769] * vX_[752] + vX_[910] * vX_[774] - (vX_[775] * vX_[3] + vX_[821] * vX_[776]);
+ vX_[110] = -0.007418 * vX_[116] + -0.000102 * (vX_[698] - vX_[110]) + vX_[132] * vX_[41] + vX_[130] * vX_[544] + -0.35 * vX_[50] + vX_[173] * vX_[795] + vX_[165] * vX_[751] + vX_[151] * vX_[122] + vX_[157] * vX_[491] + (2.1e-05 * vX_[561]) / vX_[146] - 0.47422804 * vX_[752] - 0.084376 * vX_[726] - 2.1e-05 * vX_[872];
+ vX_[544] = 0.002735 * vX_[116] + 0.0825825 * vX_[752] + -0.000102 * vX_[872] + vX_[142] * vX_[41] + vX_[132] * vX_[544] + vX_[165] * vX_[795] + vX_[172] * vX_[751] + vX_[148] * vX_[122] + vX_[156] * vX_[491] + (-0.000102 * vX_[561]) / vX_[146] - -0.007418 * vX_[726] - 2.1e-05 * (vX_[698] - vX_[534]);
+ vX_[752] = 0.47422804 * vX_[726] + 3.146 * vX_[752] + 0.0825825 * vX_[116] + vX_[50] + vX_[143] * vX_[795] + vX_[153] * vX_[751];
+ vX_[50] = vX_[757] * vX_[128] + vX_[128] * vX_[757];
+ vX_[116] = 0.009466 * vX_[166] + 0.1466472 * (vX_[25] - vX_[912]) + -5.1e-05 * vX_[63] + vX_[129] * vX_[110] + vX_[149] * vX_[544] + -0.08 * vX_[752] - 0.022734 * vX_[358] - 3.6e-05 * (vX_[50] - vX_[736]);
+ vX_[726] = 0 - vX_[116];
+ vX_[41] = vX_[756] * vX_[200] + vX_[199] * vX_[802] - (vX_[757] * vX_[763] + vX_[128] * vX_[766]);
+ vX_[951] = -0.5824264 * vX_[740] + 3.6e-05 * vX_[358] + 0.022734 * (0 - vX_[736]) + vX_[773] * vX_[47] + vX_[167] * vX_[753] + -1 * (vX_[951] + (vX_[146] * vX_[561]) / vX_[146]) + vX_[497] * vX_[733] + vX_[547] * vX_[755] + vX_[231] * vX_[83] + vX_[220] * vX_[93] + (vX_[230] * vX_[726]) / vX_[193] - 0.1466472 * vX_[41] - -0.123672 * vX_[63] - -5.1e-05 * vX_[166];
+ vX_[544] = -0.133138 * vX_[358] + -0.5824264 * (vX_[912] - vX_[25]) + 0.022734 * vX_[166] + vX_[150] * vX_[110] + vX_[129] * vX_[544] + vX_[547] * vX_[733] + vX_[192] * vX_[755] + vX_[221] * vX_[83] + vX_[195] * vX_[93] + (vX_[188] * vX_[726]) / vX_[193] - 3.6e-05 * vX_[63] - -5.1e-05 * (0 - vX_[50]);
+ vX_[41] = 3.44 * vX_[41] + 0.1466472 * vX_[63] + vX_[129] * vX_[47] + vX_[149] * vX_[753] + vX_[206] * vX_[733] + vX_[182] * vX_[755] + vX_[224] * vX_[83] + vX_[217] * vX_[93] + (vX_[215] * vX_[726]) / vX_[193] - -0.5824264 * (vX_[50] + vX_[736]);
+ vX_[752] = 0.1466472 * vX_[166] + -3.44 * (vX_[912] - vX_[25]) + -0.5824264 * vX_[358] + -1 * vX_[752] + vX_[231] * vX_[733] + vX_[221] * vX_[755] + vX_[223] * vX_[83] + vX_[209] * vX_[93] + (vX_[207] * vX_[726]) / vX_[193];
+ vX_[50] = 3.44 * vX_[740] + -0.5824264 * vX_[63] + vX_[772] * vX_[47] + vX_[129] * vX_[753] + vX_[220] * vX_[733] + vX_[195] * vX_[755] + vX_[209] * vX_[83] + vX_[235] * vX_[93] + (vX_[191] * vX_[726]) / vX_[193] - 0.1466472 * vX_[50];
+ vX_[63] = vX_[239] * vX_[835] - vX_[829] * vX_[319];
+ vX_[753] = vX_[239] * vX_[829];
+ vX_[47] = vX_[826] * vX_[318] + vX_[318] * vX_[826];
+ vX_[740] = vX_[240] * vX_[831] + vX_[289] * vX_[239];
+ vX_[912] = vX_[839] * vX_[740] + vX_[239] * vX_[855];
+ vX_[25] = vX_[240] * vX_[318];
+ vX_[166] = vX_[842] * vX_[319] + vX_[25] * vX_[847];
+ vX_[358] = vX_[268] * vX_[318];
+ vX_[736] = vX_[842] * vX_[358] + vX_[25] * vX_[838];
+ vX_[110] = vX_[842] * vX_[239] + vX_[25] * vX_[839];
+ vX_[698] = vX_[851] * vX_[831] + vX_[852] * vX_[239];
+ vX_[534] = vX_[243] * vX_[698] + vX_[241] * vX_[740] + vX_[246] * vX_[239];
+ vX_[872] = vX_[849] * vX_[534] + vX_[239] * vX_[863];
+ vX_[821] = -0.35 * vX_[358] + vX_[319];
+ vX_[3] = vX_[241] * vX_[25] + vX_[243] * vX_[358];
+ vX_[910] = vX_[860] * vX_[821] + vX_[3] * vX_[848];
+ vX_[138] = vX_[244] * vX_[25] + vX_[241] * vX_[358];
+ vX_[53] = vX_[860] * vX_[138] + vX_[3] * vX_[844];
+ vX_[90] = vX_[241] * vX_[698] + vX_[854] * vX_[740] + vX_[856] * vX_[239];
+ vX_[821] = vX_[844] * vX_[821] + vX_[138] * vX_[848] - (vX_[849] * vX_[90] + vX_[239] * vX_[857]);
+ vX_[738] = 0.1104774 * (vX_[872] - vX_[910]) + 0.025941 * vX_[53] - 0.0004405 * vX_[821];
+ vX_[748] = 0 - vX_[738];
+ vX_[216] = vX_[844] * vX_[239] + vX_[138] * vX_[849];
+ vX_[747] = (- vX_[534]) * x_in[29];
+ vX_[568] = vX_[90] * x_in[29];
+ vX_[817] = vX_[138] * x_in[29];
+ vX_[121] = vX_[849] * vX_[239] + vX_[239] * vX_[849];
+ vX_[98] = vX_[860] * vX_[3] + vX_[3] * vX_[860];
+ vX_[682] = -0.881 * (vX_[910] - vX_[872]) + 0.1104774 * vX_[53] + -8.81e-05 * vX_[216] + 0.414812462825713 * vX_[747] + 0.00185880198235362 * vX_[568] + 8.81e-05 * vX_[817] + (0.1104774 * vX_[748]) / 0.026181 - 0.0004405 * (vX_[121] + vX_[98]);
+ vX_[530] = vX_[860] * vX_[239] + vX_[3] * vX_[849];
+ vX_[99] = (- vX_[3]) * x_in[29];
+ vX_[735] = vX_[844] * vX_[138] + vX_[138] * vX_[844];
+ vX_[121] = 0.881 * vX_[821] + -8.81e-05 * vX_[530] + 0.0004405 * vX_[53] + 0.00185880198235362 * vX_[747] + 0.880992588508842 * vX_[568] + -8.81e-05 * vX_[99] + (-0.0004405 * vX_[748]) / 0.026181 - 0.1104774 * (vX_[121] + vX_[735]);
+ vX_[53] = vX_[838] * vX_[319] + vX_[358] * vX_[847] - (vX_[839] * vX_[698] + vX_[239] * vX_[853]);
+ vX_[885] = vX_[838] * vX_[239] + vX_[358] * vX_[839];
+ vX_[35] = vX_[838] * vX_[358] + vX_[358] * vX_[838];
+ vX_[944] = vX_[842] * vX_[25] + vX_[25] * vX_[842];
+ vX_[738] = 0.47422804 * (vX_[912] - vX_[166]) + 0.081641 * vX_[736] + 2.1e-05 * vX_[110] + (0.026181 * vX_[748]) / 0.026181 + vX_[738] + vX_[856] * vX_[682] + vX_[246] * vX_[121] - -0.0825825 * vX_[53] - 0.000102 * vX_[885] - 0.007418 * (vX_[35] - vX_[944]);
+ vX_[70] = 0 - vX_[738];
+ vX_[233] = (- vX_[25]) * x_in[28];
+ vX_[482] = vX_[358] * x_in[28];
+ vX_[74] = (- vX_[740]) * x_in[28];
+ vX_[744] = vX_[698] * x_in[28];
+ vX_[104] = vX_[839] * vX_[239] + vX_[239] * vX_[839];
+ vX_[166] = -3.146 * (vX_[166] - vX_[912]) + 0.47422804 * vX_[736] + vX_[241] * vX_[682] + vX_[243] * vX_[121] + vX_[272] * vX_[233] + vX_[266] * vX_[482] + vX_[298] * vX_[74] + vX_[300] * vX_[744] + (vX_[262] * vX_[70]) / vX_[264] - -0.0825825 * (vX_[104] + vX_[944]);
+ vX_[53] = 3.146 * vX_[53] + -0.0825825 * vX_[736] + vX_[854] * vX_[682] + vX_[241] * vX_[121] + vX_[278] * vX_[233] + vX_[277] * vX_[482] + vX_[300] * vX_[74] + vX_[299] * vX_[744] + (vX_[275] * vX_[70]) / vX_[264] - 0.47422804 * (vX_[104] + vX_[35]);
+ vX_[121] = (- vX_[318]) * x_in[27];
+ vX_[682] = vX_[239] * x_in[27];
+ vX_[912] = (- vX_[831]) * x_in[27];
+ vX_[745] = vX_[319] * x_in[27];
+ vX_[52] = vX_[826] * vX_[239] + vX_[318] * vX_[827];
+ vX_[56] = vX_[829] * vX_[831];
+ vX_[44] = vX_[318] * vX_[835];
+ vX_[475] = vX_[318] * vX_[829];
+ vX_[90] = vX_[860] * vX_[90] + vX_[3] * vX_[857] - (vX_[844] * vX_[534] + vX_[138] * vX_[863]);
+ vX_[821] = -8.81e-05 * vX_[821] + -8.81e-05 * vX_[568] + 0.026409 * vX_[99] - 0.1104774 * vX_[90] - 0.025713 * vX_[530];
+ vX_[910] = 0.0004405 * vX_[90] + -8.81e-05 * (vX_[910] - vX_[872]) + -0.000227999999999999 * vX_[216] + 8.81e-05 * vX_[747] + 0.000468 * vX_[817];
+ vX_[90] = 0.881 * vX_[90] + 0.1104774 * vX_[530] + 0.0004405 * vX_[216] + -0.1104774 * vX_[99] + 0.0004405 * vX_[817] - -8.81e-05 * (vX_[735] + vX_[98]);
+ vX_[698] = vX_[842] * vX_[698] + vX_[25] * vX_[853] - (vX_[838] * vX_[740] + vX_[358] * vX_[855]);
+ vX_[944] = 0.007418 * vX_[885] + 0.000102 * (vX_[104] - vX_[944]) + vX_[241] * vX_[821] + vX_[243] * vX_[910] + -0.35 * vX_[90] + vX_[294] * vX_[233] + vX_[286] * vX_[482] + vX_[272] * vX_[74] + vX_[278] * vX_[744] + (vX_[271] * vX_[70]) / vX_[264] - 0.47422804 * vX_[698] - 0.084376 * vX_[110] - 2.1e-05 * vX_[736];
+ vX_[910] = 0.002735 * vX_[885] + -0.0825825 * vX_[698] + 0.000102 * vX_[736] + vX_[244] * vX_[821] + vX_[241] * vX_[910] + vX_[286] * vX_[233] + vX_[293] * vX_[482] + vX_[266] * vX_[74] + vX_[277] * vX_[744] + (vX_[252] * vX_[70]) / vX_[264] - 0.007418 * vX_[110] - 2.1e-05 * (vX_[104] - vX_[35]);
+ vX_[698] = 0.47422804 * vX_[110] + 3.146 * vX_[698] + -0.0825825 * vX_[885] + vX_[90] + vX_[261] * vX_[233] + vX_[274] * vX_[482];
+ vX_[90] = vX_[827] * vX_[239] + vX_[239] * vX_[827];
+ vX_[885] = 0.009466 * vX_[52] + 0.1466472 * (vX_[56] - vX_[44]) + -5.1e-05 * vX_[475] + vX_[287] * vX_[944] + vX_[268] * vX_[910] + 0.08 * vX_[698] - 0.022734 * vX_[753] - 3.6e-05 * (vX_[90] - vX_[47]);
+ vX_[110] = 0 - vX_[885];
+ vX_[821] = vX_[826] * vX_[319] + vX_[318] * vX_[846] - (vX_[827] * vX_[831] + vX_[239] * vX_[833]);
+ vX_[738] = -0.5824264 * vX_[63] + 3.6e-05 * vX_[753] + 0.022734 * (0 - vX_[47]) + (vX_[264] * vX_[70]) / vX_[264] + vX_[738] + vX_[852] * vX_[166] + vX_[289] * vX_[53] + vX_[511] * vX_[121] + vX_[556] * vX_[682] + vX_[351] * vX_[912] + vX_[340] * vX_[745] + (vX_[350] * vX_[110]) / vX_[314] - 0.1466472 * vX_[821] - -0.123672 * vX_[475] - -5.1e-05 * vX_[52];
+ vX_[910] = -0.133138 * vX_[753] + -0.5824264 * (vX_[44] - vX_[56]) + 0.022734 * vX_[52] + vX_[268] * vX_[944] + vX_[240] * vX_[910] + vX_[556] * vX_[121] + vX_[313] * vX_[682] + vX_[341] * vX_[912] + vX_[316] * vX_[745] + (vX_[309] * vX_[110]) / vX_[314] - 3.6e-05 * vX_[475] - -5.1e-05 * (0 - vX_[90]);
+ vX_[821] = 3.44 * vX_[821] + 0.1466472 * vX_[475] + vX_[850] * vX_[166] + vX_[267] * vX_[53] + vX_[326] * vX_[121] + vX_[303] * vX_[682] + vX_[344] * vX_[912] + vX_[337] * vX_[745] + (vX_[335] * vX_[110]) / vX_[314] - -0.5824264 * (vX_[90] + vX_[47]);
+ vX_[698] = 0.1466472 * vX_[52] + -3.44 * (vX_[44] - vX_[56]) + -0.5824264 * vX_[753] + vX_[698] + vX_[351] * vX_[121] + vX_[341] * vX_[682] + vX_[343] * vX_[912] + vX_[329] * vX_[745] + (vX_[327] * vX_[110]) / vX_[314];
+ vX_[90] = 3.44 * vX_[63] + -0.5824264 * vX_[475] + vX_[851] * vX_[166] + vX_[240] * vX_[53] + vX_[340] * vX_[121] + vX_[316] * vX_[682] + vX_[329] * vX_[912] + vX_[355] * vX_[745] + (vX_[312] * vX_[110]) / vX_[314] - 0.1466472 * vX_[90];
+ vX_[475] = vX_[360] * vX_[579] - vX_[580] * vX_[442];
+ vX_[53] = vX_[360] * vX_[580];
+ vX_[166] = vX_[588] * vX_[441] + vX_[441] * vX_[588];
+ vX_[63] = -1 * vX_[442];
+ vX_[44] = vX_[361] * vX_[441];
+ vX_[56] = vX_[593] * vX_[63] + vX_[44] * vX_[599];
+ vX_[52] = vX_[361] * vX_[611] + vX_[409] * vX_[360];
+ vX_[753] = -1 * vX_[360];
+ vX_[47] = vX_[602] * vX_[52] + vX_[753] * vX_[614];
+ vX_[944] = vX_[389] * vX_[441];
+ vX_[104] = vX_[593] * vX_[944] + vX_[44] * vX_[617];
+ vX_[35] = -0.35 * vX_[944] + vX_[63];
+ vX_[736] = vX_[362] * vX_[44] + vX_[364] * vX_[944];
+ vX_[358] = vX_[619] * vX_[35] + vX_[736] * vX_[622];
+ vX_[25] = vX_[625] * vX_[611] + vX_[592] * vX_[360];
+ vX_[740] = vX_[364] * vX_[25] + vX_[362] * vX_[52] + vX_[367] * vX_[753];
+ vX_[735] = vX_[624] * vX_[740] + vX_[753] * vX_[629];
+ vX_[99] = vX_[365] * vX_[44] + vX_[362] * vX_[944];
+ vX_[530] = vX_[619] * vX_[99] + vX_[736] * vX_[632];
+ vX_[98] = vX_[632] * vX_[753] + vX_[99] * vX_[624];
+ vX_[817] = (- vX_[740]) * x_in[26];
+ vX_[216] = vX_[362] * vX_[25] + vX_[636] * vX_[52] + vX_[637] * vX_[753];
+ vX_[872] = vX_[216] * x_in[26];
+ vX_[138] = vX_[99] * x_in[26];
+ vX_[35] = vX_[632] * vX_[35] + vX_[99] * vX_[622] - (vX_[624] * vX_[216] + vX_[753] * vX_[641]);
+ vX_[3] = 0.1104774 * (vX_[735] - vX_[358]) + 0.025941 * vX_[530] - 0.0004405 * vX_[35];
+ vX_[534] = 0 - vX_[3];
+ vX_[26] = vX_[624] * vX_[753] + vX_[753] * vX_[624];
+ vX_[170] = vX_[619] * vX_[736] + vX_[736] * vX_[619];
+ vX_[107] = -0.881 * (vX_[358] - vX_[735]) + 0.1104774 * vX_[530] + -8.81e-05 * vX_[98] + 0.414812462825713 * vX_[817] + 0.00185880198235362 * vX_[872] + 8.81e-05 * vX_[138] + (0.1104774 * vX_[534]) / 0.026181 - 0.0004405 * (vX_[26] + vX_[170]);
+ vX_[49] = vX_[619] * vX_[753] + vX_[736] * vX_[624];
+ vX_[746] = (- vX_[736]) * x_in[26];
+ vX_[416] = vX_[632] * vX_[99] + vX_[99] * vX_[632];
+ vX_[26] = 0.881 * vX_[35] + -8.81e-05 * vX_[49] + 0.0004405 * vX_[530] + 0.00185880198235362 * vX_[817] + 0.880992588508842 * vX_[872] + -8.81e-05 * vX_[746] + (-0.0004405 * vX_[534]) / 0.026181 - 0.1104774 * (vX_[26] + vX_[416]);
+ vX_[530] = (- vX_[44]) * x_in[25];
+ vX_[96] = vX_[944] * x_in[25];
+ vX_[911] = (- vX_[52]) * x_in[25];
+ vX_[461] = vX_[25] * x_in[25];
+ vX_[8] = vX_[593] * vX_[753] + vX_[44] * vX_[602];
+ vX_[63] = vX_[617] * vX_[63] + vX_[944] * vX_[599] - (vX_[602] * vX_[25] + vX_[753] * vX_[628]);
+ vX_[72] = vX_[617] * vX_[753] + vX_[944] * vX_[602];
+ vX_[717] = vX_[617] * vX_[944] + vX_[944] * vX_[617];
+ vX_[731] = vX_[593] * vX_[44] + vX_[44] * vX_[593];
+ vX_[3] = 0.47422804 * (vX_[47] - vX_[56]) + 0.081641 * vX_[104] + 2.1e-05 * vX_[8] + (0.026181 * vX_[534]) / 0.026181 + vX_[3] + vX_[637] * vX_[107] + vX_[367] * vX_[26] - -0.0825825 * vX_[63] - 0.000102 * vX_[72] - 0.007418 * (vX_[717] - vX_[731]);
+ vX_[724] = 0 - vX_[3];
+ vX_[753] = vX_[602] * vX_[753] + vX_[753] * vX_[602];
+ vX_[47] = -3.146 * (vX_[56] - vX_[47]) + 0.47422804 * vX_[104] + vX_[362] * vX_[107] + vX_[364] * vX_[26] + vX_[393] * vX_[530] + vX_[387] * vX_[96] + vX_[419] * vX_[911] + vX_[421] * vX_[461] + (vX_[383] * vX_[724]) / vX_[385] - -0.0825825 * (vX_[753] + vX_[731]);
+ vX_[63] = 3.146 * vX_[63] + -0.0825825 * vX_[104] + vX_[636] * vX_[107] + vX_[362] * vX_[26] + vX_[399] * vX_[530] + vX_[398] * vX_[96] + vX_[421] * vX_[911] + vX_[420] * vX_[461] + (vX_[396] * vX_[724]) / vX_[385] - 0.47422804 * (vX_[753] + vX_[717]);
+ vX_[26] = (- vX_[441]) * x_in[24];
+ vX_[107] = vX_[360] * x_in[24];
+ vX_[56] = (- vX_[611]) * x_in[24];
+ vX_[729] = vX_[442] * x_in[24];
+ vX_[59] = vX_[588] * vX_[360] + vX_[441] * vX_[601];
+ vX_[58] = vX_[580] * vX_[611];
+ vX_[545] = vX_[441] * vX_[579];
+ vX_[331] = vX_[441] * vX_[580];
+ vX_[216] = vX_[619] * vX_[216] + vX_[736] * vX_[641] - (vX_[632] * vX_[740] + vX_[99] * vX_[629]);
+ vX_[35] = -8.81e-05 * vX_[35] + -8.81e-05 * vX_[872] + 0.026409 * vX_[746] - 0.1104774 * vX_[216] - 0.025713 * vX_[49];
+ vX_[735] = 0.0004405 * vX_[216] + -8.81e-05 * (vX_[358] - vX_[735]) + -0.000227999999999999 * vX_[98] + 8.81e-05 * vX_[817] + 0.000468 * vX_[138];
+ vX_[216] = 0.881 * vX_[216] + 0.1104774 * vX_[49] + 0.0004405 * vX_[98] + -0.1104774 * vX_[746] + 0.0004405 * vX_[138] - -8.81e-05 * (vX_[416] + vX_[170]);
+ vX_[25] = vX_[593] * vX_[25] + vX_[44] * vX_[628] - (vX_[617] * vX_[52] + vX_[944] * vX_[614]);
+ vX_[731] = 0.007418 * vX_[72] + 0.000102 * (vX_[753] - vX_[731]) + vX_[362] * vX_[35] + vX_[364] * vX_[735] + -0.35 * vX_[216] + vX_[415] * vX_[530] + vX_[407] * vX_[96] + vX_[393] * vX_[911] + vX_[399] * vX_[461] + (vX_[392] * vX_[724]) / vX_[385] - 0.47422804 * vX_[25] - 0.084376 * vX_[8] - 2.1e-05 * vX_[104];
+ vX_[735] = 0.002735 * vX_[72] + -0.0825825 * vX_[25] + 0.000102 * vX_[104] + vX_[365] * vX_[35] + vX_[362] * vX_[735] + vX_[407] * vX_[530] + vX_[414] * vX_[96] + vX_[387] * vX_[911] + vX_[398] * vX_[461] + (vX_[373] * vX_[724]) / vX_[385] - 0.007418 * vX_[8] - 2.1e-05 * (vX_[753] - vX_[717]);
+ vX_[25] = 0.47422804 * vX_[8] + 3.146 * vX_[25] + -0.0825825 * vX_[72] + vX_[216] + vX_[382] * vX_[530] + vX_[395] * vX_[96];
+ vX_[216] = vX_[601] * vX_[360] + vX_[360] * vX_[601];
+ vX_[72] = 0.009466 * vX_[59] + 0.1466472 * (vX_[58] - vX_[545]) + -5.1e-05 * vX_[331] + vX_[361] * vX_[731] + vX_[388] * vX_[735] + -0.08 * vX_[25] - -0.022734 * vX_[53] - -3.6e-05 * (vX_[216] - vX_[166]);
+ vX_[8] = 0 - vX_[72];
+ vX_[35] = vX_[588] * vX_[442] + vX_[441] * vX_[598] - (vX_[601] * vX_[611] + vX_[360] * vX_[613]);
+ vX_[3] = 0.5824264 * vX_[475] + -3.6e-05 * vX_[53] + -0.022734 * (0 - vX_[166]) + vX_[592] * vX_[47] + vX_[409] * vX_[63] + -1 * (vX_[3] + (vX_[385] * vX_[724]) / vX_[385]) + vX_[525] * vX_[26] + vX_[565] * vX_[107] + vX_[473] * vX_[56] + vX_[462] * vX_[729] + (vX_[472] * vX_[8]) / vX_[435] - 0.1466472 * vX_[35] - -0.123672 * vX_[331] - -5.1e-05 * vX_[59];
+ vX_[735] = -0.133138 * vX_[53] + 0.5824264 * (vX_[545] - vX_[58]) + -0.022734 * vX_[59] + vX_[389] * vX_[731] + vX_[361] * vX_[735] + vX_[565] * vX_[26] + vX_[434] * vX_[107] + vX_[463] * vX_[56] + vX_[437] * vX_[729] + (vX_[430] * vX_[8]) / vX_[435] - -3.6e-05 * vX_[331] - -5.1e-05 * (0 - vX_[216]);
+ vX_[35] = 3.44 * vX_[35] + 0.1466472 * vX_[331] + vX_[361] * vX_[47] + vX_[388] * vX_[63] + vX_[448] * vX_[26] + vX_[424] * vX_[107] + vX_[466] * vX_[56] + vX_[459] * vX_[729] + (vX_[457] * vX_[8]) / vX_[435] - 0.5824264 * (vX_[216] + vX_[166]);
+ vX_[25] = 0.1466472 * vX_[59] + -3.44 * (vX_[545] - vX_[58]) + 0.5824264 * vX_[53] + -1 * vX_[25] + vX_[473] * vX_[26] + vX_[463] * vX_[107] + vX_[465] * vX_[56] + vX_[451] * vX_[729] + (vX_[449] * vX_[8]) / vX_[435];
+ vX_[216] = 3.44 * vX_[475] + 0.5824264 * vX_[331] + vX_[625] * vX_[47] + vX_[361] * vX_[63] + vX_[462] * vX_[26] + vX_[437] * vX_[107] + vX_[451] * vX_[56] + vX_[477] * vX_[729] + (vX_[433] * vX_[8]) / vX_[435] - 0.1466472 * vX_[216];
+ vX_[331] = x_in[19] + x_in[19];
+ vX_[63] = 0 - x_in[21];
+ vX_[72] = (-0.0053433 * vX_[63] + 0.473273 * x_in[20] + 0.190812 * x_in[18] + (vX_[82] * vX_[51]) / vX_[82] + vX_[92] + vX_[703] * vX_[16] + vX_[85] * vX_[479] + vX_[701] * vX_[752] + vX_[196] * vX_[50] + -1 * (vX_[116] + (vX_[193] * vX_[726]) / vX_[193]) + (vX_[314] * vX_[110]) / vX_[314] + vX_[885] + vX_[845] * vX_[698] + vX_[317] * vX_[90] + vX_[596] * vX_[25] + vX_[438] * vX_[216] + -1 * (vX_[72] + (vX_[435] * vX_[8]) / vX_[435]) - 0.012668 * (0 - vX_[331])) / vX_[573];
+ vX_[885] = (2.0678571 * x_in[23] + -0.00571 * x_in[20] + vX_[24] * vX_[452] + vX_[86] * vX_[760] + vX_[87] * vX_[16] + vX_[608] * vX_[479] + vX_[128] * vX_[951] + vX_[199] * vX_[544] + vX_[200] * vX_[752] + vX_[763] * vX_[50] + vX_[239] * vX_[738] + vX_[318] * vX_[910] + vX_[319] * vX_[698] + vX_[831] * vX_[90] + vX_[360] * vX_[3] + vX_[441] * vX_[735] + vX_[442] * vX_[25] + vX_[611] * vX_[216] - -1.1915559 * vX_[63] - 0.012668 * x_in[18] - vX_[689] * vX_[72]) / vX_[570];
+ vX_[735] = (4.374212 * x_in[18] + vX_[86] * vX_[452] + vX_[88] * vX_[760] + 0.207 * vX_[168] + vX_[89] * vX_[16] + vX_[649] * vX_[479] + vX_[198] * vX_[951] + vX_[128] * vX_[544] + 0.207 * vX_[41] + vX_[201] * vX_[752] + vX_[762] * vX_[50] + vX_[318] * vX_[738] + vX_[320] * vX_[910] + 0.207 * vX_[821] + vX_[321] * vX_[698] + vX_[830] * vX_[90] + vX_[440] * vX_[3] + vX_[360] * vX_[735] + 0.207 * vX_[35] + vX_[443] * vX_[25] + vX_[610] * vX_[216] - -0.0053433 * x_in[23] - 0.190812 * x_in[20] - -0.00571 * vX_[331] - vX_[687] * vX_[885] - vX_[480] * vX_[72]) / vX_[572];
+ vX_[35] = (53.433 * x_in[23] + -0.0053433 * x_in[18] + vX_[168] + -1 * vX_[41] + vX_[821] + -1 * vX_[35] - -1.1915559 * vX_[331] - vX_[932] * vX_[885] - vX_[949] * vX_[72] - vX_[946] * vX_[735]) / vX_[976];
+ vX_[821] = (-1.1915559 * x_in[18] + 2.0678571 * x_in[20] + vX_[24] * vX_[16] + vX_[86] * vX_[479] + vX_[127] * vX_[752] + vX_[765] * vX_[50] + vX_[239] * vX_[698] + vX_[318] * vX_[90] + vX_[597] * vX_[25] + vX_[612] * vX_[216] - vX_[913] * vX_[885] - vX_[933] * vX_[72] - vX_[722] * vX_[735] - vX_[948] * vX_[35]) / vX_[973];
+ vX_[63] = (53.433 * vX_[63] + -0.0053433 * x_in[20] + vX_[86] * vX_[16] + vX_[616] * vX_[479] + vX_[198] * vX_[752] + vX_[764] * vX_[50] + vX_[318] * vX_[698] + vX_[832] * vX_[90] + vX_[440] * vX_[25] + vX_[359] * vX_[216] - 2.0678571 * vX_[331] - vX_[977] * vX_[885] - vX_[945] * vX_[72] - vX_[474] * vX_[735] - vX_[984] * vX_[35] - vX_[955] * vX_[821]) / vX_[975];
+ jac[707] = - vX_[63];
+ vX_[821] = vX_[821] - vX_[986] * vX_[63];
+ jac[706] = - vX_[821];
+ vX_[35] = vX_[35] - vX_[985] * vX_[63] - vX_[919] * vX_[821];
+ jac[705] = - vX_[35];
+ vX_[735] = vX_[735] - vX_[936] * vX_[821] - vX_[947] * vX_[35] - vX_[980] * vX_[63];
+ jac[704] = - vX_[735];
+ vX_[885] = vX_[885] - vX_[938] * vX_[35] - vX_[586] * vX_[735] - vX_[935] * vX_[821] - vX_[979] * vX_[63];
+ jac[702] = vX_[574] * vX_[735] + vX_[688] * vX_[885] + vX_[937] * vX_[35] + vX_[934] * vX_[821] + vX_[978] * vX_[63] - vX_[72];
+ jac[703] = - vX_[885];
+ vX_[885] = -1 * jac[702];
+ vX_[26] = vX_[440] * jac[704] + vX_[360] * jac[703] + vX_[26];
+ vX_[107] = vX_[360] * jac[704] + vX_[441] * jac[703] + vX_[107];
+ vX_[735] = -1 * jac[705];
+ vX_[35] = 0.207 * jac[704] + vX_[735];
+ vX_[729] = vX_[610] * jac[704] + vX_[611] * jac[703] + vX_[438] * jac[702] + vX_[359] * jac[707] + vX_[612] * jac[706] + vX_[729];
+ jac[708] = (vX_[8] - vX_[435] * vX_[885] - vX_[472] * vX_[26] - vX_[430] * vX_[107] - vX_[457] * vX_[35] - vX_[449] * (vX_[443] * jac[704] + vX_[442] * jac[703] + vX_[596] * jac[702] + vX_[440] * jac[707] + vX_[597] * jac[706] + vX_[56]) - vX_[433] * vX_[729]) / vX_[435];
+ vX_[8] = -1 * vX_[26];
+ vX_[56] = vX_[885] + jac[708];
+ vX_[911] = vX_[361] * vX_[35] + vX_[625] * vX_[729] + vX_[592] * vX_[26] + vX_[911];
+ vX_[729] = vX_[388] * vX_[35] + vX_[361] * vX_[729] + vX_[409] * vX_[26] + vX_[461];
+ jac[709] = (vX_[724] - vX_[385] * vX_[8] - vX_[392] * (vX_[361] * vX_[56] + vX_[389] * vX_[107] + vX_[530]) - vX_[373] * (vX_[388] * vX_[56] + vX_[361] * vX_[107] + vX_[96]) - vX_[383] * vX_[911] - vX_[396] * vX_[729]) / vX_[385];
+ vX_[8] = vX_[8] + jac[709];
+ jac[710] = (vX_[534] - 0.1104774 * (vX_[362] * vX_[911] + vX_[636] * vX_[729] + vX_[637] * vX_[8] + vX_[817]) - -0.0004405 * (vX_[364] * vX_[911] + vX_[362] * vX_[729] + vX_[367] * vX_[8] + vX_[872]) - 0.026181 * vX_[8]) / 0.026181;
+ vX_[121] = vX_[318] * jac[704] + vX_[239] * jac[703] + vX_[121];
+ vX_[682] = vX_[320] * jac[704] + vX_[318] * jac[703] + vX_[682];
+ vX_[8] = 0.207 * jac[704] + jac[705];
+ vX_[745] = vX_[830] * jac[704] + vX_[831] * jac[703] + vX_[317] * jac[702] + vX_[832] * jac[707] + vX_[318] * jac[706] + vX_[745];
+ jac[711] = (vX_[110] - vX_[314] * jac[702] - vX_[350] * vX_[121] - vX_[309] * vX_[682] - vX_[335] * vX_[8] - vX_[327] * (vX_[321] * jac[704] + vX_[319] * jac[703] + vX_[845] * jac[702] + vX_[318] * jac[707] + vX_[239] * jac[706] + vX_[912]) - vX_[312] * vX_[745]) / vX_[314];
+ vX_[110] = jac[702] + jac[711];
+ vX_[74] = vX_[850] * vX_[8] + vX_[851] * vX_[745] + vX_[852] * vX_[121] + vX_[74];
+ vX_[745] = vX_[267] * vX_[8] + vX_[240] * vX_[745] + vX_[289] * vX_[121] + vX_[744];
+ jac[712] = (vX_[70] - vX_[264] * vX_[121] - vX_[271] * (vX_[287] * vX_[110] + vX_[268] * vX_[682] + vX_[233]) - vX_[252] * (vX_[268] * vX_[110] + vX_[240] * vX_[682] + vX_[482]) - vX_[262] * vX_[74] - vX_[275] * vX_[745]) / vX_[264];
+ vX_[121] = vX_[121] + jac[712];
+ jac[713] = (vX_[748] - 0.1104774 * (vX_[241] * vX_[74] + vX_[854] * vX_[745] + vX_[856] * vX_[121] + vX_[747]) - -0.0004405 * (vX_[243] * vX_[74] + vX_[241] * vX_[745] + vX_[246] * vX_[121] + vX_[568]) - 0.026181 * vX_[121]) / 0.026181;
+ vX_[733] = vX_[198] * jac[704] + vX_[128] * jac[703] + vX_[733];
+ vX_[755] = vX_[128] * jac[704] + vX_[199] * jac[703] + vX_[755];
+ vX_[735] = 0.207 * jac[704] + vX_[735];
+ vX_[93] = vX_[762] * jac[704] + vX_[763] * jac[703] + vX_[196] * jac[702] + vX_[764] * jac[707] + vX_[765] * jac[706] + vX_[93];
+ jac[714] = (vX_[726] - vX_[193] * vX_[885] - vX_[230] * vX_[733] - vX_[188] * vX_[755] - vX_[215] * vX_[735] - vX_[207] * (vX_[201] * jac[704] + vX_[200] * jac[703] + vX_[701] * jac[702] + vX_[198] * jac[707] + vX_[127] * jac[706] + vX_[83]) - vX_[191] * vX_[93]) / vX_[193];
+ vX_[726] = -1 * vX_[733];
+ vX_[885] = vX_[885] + jac[714];
+ vX_[122] = vX_[129] * vX_[735] + vX_[772] * vX_[93] + vX_[773] * vX_[733] + vX_[122];
+ vX_[93] = vX_[149] * vX_[735] + vX_[129] * vX_[93] + vX_[167] * vX_[733] + vX_[491];
+ jac[715] = (vX_[561] - vX_[146] * vX_[726] - 2.1e-05 * (vX_[129] * vX_[885] + vX_[150] * vX_[755] + vX_[795]) - -0.000102 * (vX_[149] * vX_[885] + vX_[129] * vX_[755] + vX_[751]) - vX_[144] * vX_[122] - vX_[154] * vX_[93]) / vX_[146];
+ vX_[726] = vX_[726] + jac[715];
+ jac[716] = (vX_[137] - 0.110125 * (vX_[132] * vX_[122] + vX_[782] * vX_[93] + vX_[783] * vX_[726] + vX_[899]) - 0.000881 * (vX_[130] * vX_[122] + vX_[132] * vX_[93] + vX_[131] * vX_[726] + vX_[202]) - 0.026181 * vX_[726]) / 0.026181;
+ vX_[739] = vX_[86] * jac[704] + vX_[24] * jac[703] + vX_[739];
+ vX_[749] = vX_[88] * jac[704] + vX_[86] * jac[703] + vX_[749];
+ vX_[726] = 0.207 * jac[704] + jac[705];
+ vX_[563] = vX_[649] * jac[704] + vX_[608] * jac[703] + vX_[85] * jac[702] + vX_[616] * jac[707] + vX_[86] * jac[706] + vX_[563];
+ jac[717] = (vX_[51] - vX_[82] * jac[702] - vX_[118] * vX_[739] - vX_[77] * vX_[749] - vX_[103] * vX_[726] - vX_[95] * (vX_[89] * jac[704] + vX_[87] * jac[703] + vX_[703] * jac[702] + vX_[86] * jac[707] + vX_[24] * jac[706] + vX_[102]) - vX_[80] * vX_[563]) / vX_[82];
+ vX_[51] = jac[702] + jac[717];
+ vX_[69] = vX_[708] * vX_[726] + vX_[709] * vX_[563] + vX_[710] * vX_[739] + vX_[69];
+ vX_[563] = vX_[10] * vX_[726] + vX_[33] * vX_[563] + vX_[57] * vX_[739] + vX_[14];
+ jac[718] = (vX_[100] - vX_[17] * vX_[739] - vX_[6] * (vX_[55] * vX_[51] + vX_[38] * vX_[749] + vX_[727]) - vX_[23] * (vX_[38] * vX_[51] + vX_[33] * vX_[749] + vX_[618]) - vX_[15] * vX_[69] - vX_[43] * vX_[563]) / vX_[17];
+ vX_[739] = vX_[739] + jac[718];
+ jac[719] = (vX_[4] - 0.1104774 * (vX_[20] * vX_[69] + vX_[712] * vX_[563] + vX_[714] * vX_[739] + vX_[532]) - 0.0004405 * (vX_[37] * vX_[69] + vX_[20] * vX_[563] + vX_[34] * vX_[739] + vX_[48]) - 0.026181 * vX_[739]) / 0.026181;
+ vX_[739] = vX_[587] * 0.207 + vX_[86] * vX_[693] - vX_[640] * vX_[89];
+ vX_[563] = vX_[86] * vX_[640];
+ vX_[69] = vX_[659] * vX_[88] + vX_[88] * vX_[659];
+ vX_[48] = vX_[10] * 0.207 + vX_[33] * vX_[649] + vX_[57] * vX_[86];
+ vX_[532] = vX_[697] * vX_[48] + vX_[86] * vX_[713];
+ vX_[4] = vX_[33] * vX_[88];
+ vX_[51] = vX_[700] * vX_[89] + vX_[4] * vX_[705];
+ vX_[749] = vX_[38] * vX_[88];
+ vX_[618] = vX_[700] * vX_[749] + vX_[4] * vX_[696];
+ vX_[727] = vX_[700] * vX_[86] + vX_[4] * vX_[697];
+ vX_[100] = vX_[708] * 0.207 + vX_[709] * vX_[649] + vX_[710] * vX_[86];
+ vX_[726] = vX_[37] * vX_[100] + vX_[20] * vX_[48] + vX_[34] * vX_[86];
+ vX_[14] = vX_[707] * vX_[726] + vX_[86] * vX_[721];
+ vX_[102] = -0.35 * vX_[749] + vX_[89];
+ vX_[93] = vX_[20] * vX_[4] + vX_[37] * vX_[749];
+ vX_[122] = vX_[718] * vX_[102] + vX_[93] * vX_[706];
+ vX_[137] = vX_[36] * vX_[4] + vX_[20] * vX_[749];
+ vX_[202] = vX_[718] * vX_[137] + vX_[93] * vX_[702];
+ vX_[899] = vX_[20] * vX_[100] + vX_[712] * vX_[48] + vX_[714] * vX_[86];
+ vX_[102] = vX_[702] * vX_[102] + vX_[137] * vX_[706] - (vX_[707] * vX_[899] + vX_[86] * vX_[715]);
+ vX_[885] = 0.1104774 * (vX_[14] - vX_[122]) + 0.025941 * vX_[202] - -0.0004405 * vX_[102];
+ vX_[755] = 0 - vX_[885];
+ vX_[561] = vX_[702] * vX_[86] + vX_[137] * vX_[707];
+ vX_[751] = (- vX_[726]) * x_in[35];
+ vX_[795] = vX_[899] * x_in[35];
+ vX_[735] = vX_[137] * x_in[35];
+ vX_[733] = vX_[707] * vX_[86] + vX_[86] * vX_[707];
+ vX_[491] = vX_[718] * vX_[93] + vX_[93] * vX_[718];
+ vX_[83] = -0.881 * (vX_[122] - vX_[14]) + 0.1104774 * vX_[202] + 8.81e-05 * vX_[561] + 0.414812462825713 * vX_[751] + -0.00185880198235362 * vX_[795] + -8.81e-05 * vX_[735] + (0.1104774 * vX_[755]) / 0.026181 - -0.0004405 * (vX_[733] + vX_[491]);
+ vX_[121] = vX_[718] * vX_[86] + vX_[93] * vX_[707];
+ vX_[745] = (- vX_[93]) * x_in[35];
+ vX_[74] = vX_[702] * vX_[137] + vX_[137] * vX_[702];
+ vX_[733] = 0.881 * vX_[102] + 8.81e-05 * vX_[121] + -0.0004405 * vX_[202] + -0.00185880198235362 * vX_[751] + 0.880992588508842 * vX_[795] + 8.81e-05 * vX_[745] + (0.0004405 * vX_[755]) / 0.026181 - 0.1104774 * (vX_[733] + vX_[74]);
+ vX_[202] = vX_[696] * vX_[89] + vX_[749] * vX_[705] - (vX_[697] * vX_[100] + vX_[86] * vX_[711]);
+ vX_[568] = vX_[696] * vX_[86] + vX_[749] * vX_[697];
+ vX_[747] = vX_[696] * vX_[749] + vX_[749] * vX_[696];
+ vX_[748] = vX_[700] * vX_[4] + vX_[4] * vX_[700];
+ vX_[885] = 0.47422804 * (vX_[532] - vX_[51]) + 0.081641 * vX_[618] + 2.1e-05 * vX_[727] + (0.026181 * vX_[755]) / 0.026181 + vX_[885] + vX_[714] * vX_[83] + vX_[34] * vX_[733] - 0.0825825 * vX_[202] - -0.000102 * vX_[568] - -0.007418 * (vX_[747] - vX_[748]);
+ vX_[110] = 0 - vX_[885];
+ vX_[682] = (- vX_[4]) * x_in[34];
+ vX_[482] = vX_[749] * x_in[34];
+ vX_[233] = (- vX_[48]) * x_in[34];
+ vX_[70] = vX_[100] * x_in[34];
+ vX_[8] = vX_[697] * vX_[86] + vX_[86] * vX_[697];
+ vX_[51] = -3.146 * (vX_[51] - vX_[532]) + 0.47422804 * vX_[618] + vX_[20] * vX_[83] + vX_[37] * vX_[733] + vX_[31] * vX_[682] + vX_[13] * vX_[482] + vX_[66] * vX_[233] + vX_[68] * vX_[70] + (vX_[15] * vX_[110]) / vX_[17] - 0.0825825 * (vX_[8] + vX_[748]);
+ vX_[202] = 3.146 * vX_[202] + 0.0825825 * vX_[618] + vX_[712] * vX_[83] + vX_[20] * vX_[733] + vX_[46] * vX_[682] + vX_[45] * vX_[482] + vX_[68] * vX_[233] + vX_[67] * vX_[70] + (vX_[43] * vX_[110]) / vX_[17] - 0.47422804 * (vX_[8] + vX_[747]);
+ vX_[733] = (- vX_[88]) * x_in[33];
+ vX_[83] = vX_[86] * x_in[33];
+ vX_[532] = (- vX_[649]) * x_in[33];
+ vX_[744] = vX_[89] * x_in[33];
+ vX_[912] = vX_[659] * vX_[86] + vX_[88] * vX_[587];
+ vX_[729] = vX_[640] * vX_[649];
+ vX_[693] = vX_[659] * 0.207 + vX_[88] * vX_[693];
+ vX_[911] = vX_[88] * vX_[640];
+ vX_[899] = vX_[718] * vX_[899] + vX_[93] * vX_[715] - (vX_[702] * vX_[726] + vX_[137] * vX_[721]);
+ vX_[102] = 8.81e-05 * vX_[102] + 8.81e-05 * vX_[795] + 0.026409 * vX_[745] - 0.1104774 * vX_[899] - 0.025713 * vX_[121];
+ vX_[122] = -0.0004405 * vX_[899] + 8.81e-05 * (vX_[122] - vX_[14]) + -0.000227999999999999 * vX_[561] + -8.81e-05 * vX_[751] + 0.000468 * vX_[735];
+ vX_[899] = 0.881 * vX_[899] + 0.1104774 * vX_[121] + -0.0004405 * vX_[561] + -0.1104774 * vX_[745] + -0.0004405 * vX_[735] - 8.81e-05 * (vX_[74] + vX_[491]);
+ vX_[100] = vX_[700] * vX_[100] + vX_[4] * vX_[711] - (vX_[696] * vX_[48] + vX_[749] * vX_[713]);
+ vX_[748] = -0.007418 * vX_[568] + -0.000102 * (vX_[8] - vX_[748]) + vX_[20] * vX_[102] + vX_[37] * vX_[122] + -0.35 * vX_[899] + vX_[62] * vX_[682] + vX_[54] * vX_[482] + vX_[31] * vX_[233] + vX_[46] * vX_[70] + (vX_[6] * vX_[110]) / vX_[17] - 0.47422804 * vX_[100] - 0.084376 * vX_[727] - 2.1e-05 * vX_[618];
+ vX_[122] = 0.002735 * vX_[568] + 0.0825825 * vX_[100] + -0.000102 * vX_[618] + vX_[36] * vX_[102] + vX_[20] * vX_[122] + vX_[54] * vX_[682] + vX_[61] * vX_[482] + vX_[13] * vX_[233] + vX_[45] * vX_[70] + (vX_[23] * vX_[110]) / vX_[17] - -0.007418 * vX_[727] - 2.1e-05 * (vX_[8] - vX_[747]);
+ vX_[100] = 0.47422804 * vX_[727] + 3.146 * vX_[100] + 0.0825825 * vX_[568] + vX_[899] + vX_[29] * vX_[682] + vX_[42] * vX_[482];
+ vX_[899] = vX_[587] * vX_[86] + vX_[86] * vX_[587];
+ vX_[568] = 0.009466 * vX_[912] + 0.1466472 * (vX_[729] - vX_[693]) + -5.1e-05 * vX_[911] + vX_[55] * vX_[748] + vX_[38] * vX_[122] + 0.08 * vX_[100] - -0.022734 * vX_[563] - -3.6e-05 * (vX_[899] - vX_[69]);
+ vX_[727] = 0 - vX_[568];
+ vX_[102] = vX_[659] * vX_[89] + vX_[88] * vX_[704] - (vX_[587] * vX_[649] + vX_[86] * vX_[645]);
+ vX_[885] = 0.5824264 * vX_[739] + -3.6e-05 * vX_[563] + -0.022734 * (0 - vX_[69]) + (vX_[17] * vX_[110]) / vX_[17] + vX_[885] + vX_[710] * vX_[51] + vX_[57] * vX_[202] + vX_[483] * vX_[733] + vX_[538] * vX_[83] + vX_[119] * vX_[532] + vX_[108] * vX_[744] + (vX_[118] * vX_[727]) / vX_[82] - 0.1466472 * vX_[102] - -0.123672 * vX_[911] - -5.1e-05 * vX_[912];
+ vX_[122] = -0.133138 * vX_[563] + 0.5824264 * (vX_[693] - vX_[729]) + -0.022734 * vX_[912] + vX_[38] * vX_[748] + vX_[33] * vX_[122] + vX_[538] * vX_[733] + vX_[81] * vX_[83] + vX_[109] * vX_[532] + vX_[84] * vX_[744] + (vX_[77] * vX_[727]) / vX_[82] - -3.6e-05 * vX_[911] - -5.1e-05 * (0 - vX_[899]);
+ vX_[102] = 3.44 * vX_[102] + 0.1466472 * vX_[911] + vX_[708] * vX_[51] + vX_[10] * vX_[202] + vX_[94] * vX_[733] + vX_[71] * vX_[83] + vX_[112] * vX_[532] + vX_[105] * vX_[744] + (vX_[103] * vX_[727]) / vX_[82] - 0.5824264 * (vX_[899] + vX_[69]);
+ vX_[100] = 0.1466472 * vX_[912] + -3.44 * (vX_[693] - vX_[729]) + 0.5824264 * vX_[563] + vX_[100] + vX_[119] * vX_[733] + vX_[109] * vX_[83] + vX_[111] * vX_[532] + vX_[97] * vX_[744] + (vX_[95] * vX_[727]) / vX_[82];
+ vX_[899] = 3.44 * vX_[739] + 0.5824264 * vX_[911] + vX_[709] * vX_[51] + vX_[33] * vX_[202] + vX_[108] * vX_[733] + vX_[84] * vX_[83] + vX_[97] * vX_[532] + vX_[123] * vX_[744] + (vX_[80] * vX_[727]) / vX_[82] - 0.1466472 * vX_[899];
+ vX_[911] = vX_[757] * 0.207 + vX_[198] * vX_[759] - vX_[761] * vX_[201];
+ vX_[202] = vX_[198] * vX_[761];
+ vX_[51] = vX_[756] * vX_[128] + vX_[128] * vX_[756];
+ vX_[739] = -1 * vX_[201];
+ vX_[693] = vX_[129] * vX_[128];
+ vX_[729] = vX_[769] * vX_[739] + vX_[693] * vX_[808];
+ vX_[912] = vX_[149] * 0.207 + vX_[129] * vX_[762] + vX_[167] * vX_[198];
+ vX_[563] = -1 * vX_[198];
+ vX_[69] = vX_[770] * vX_[912] + vX_[563] * vX_[776];
+ vX_[748] = vX_[150] * vX_[128];
+ vX_[8] = vX_[769] * vX_[748] + vX_[693] * vX_[775];
+ vX_[747] = -0.35 * vX_[748] + vX_[739];
+ vX_[618] = vX_[132] * vX_[693] + vX_[130] * vX_[748];
+ vX_[749] = vX_[779] * vX_[747] + vX_[618] * vX_[812];
+ vX_[4] = vX_[129] * 0.207 + vX_[772] * vX_[762] + vX_[773] * vX_[198];
+ vX_[48] = vX_[130] * vX_[4] + vX_[132] * vX_[912] + vX_[131] * vX_[563];
+ vX_[74] = vX_[780] * vX_[48] + vX_[563] * vX_[786];
+ vX_[745] = vX_[142] * vX_[693] + vX_[132] * vX_[748];
+ vX_[121] = vX_[779] * vX_[745] + vX_[618] * vX_[785];
+ vX_[491] = (- vX_[48]) * x_in[32];
+ vX_[735] = vX_[132] * vX_[4] + vX_[782] * vX_[912] + vX_[783] * vX_[563];
+ vX_[561] = vX_[735] * x_in[32];
+ vX_[747] = vX_[785] * vX_[747] + vX_[745] * vX_[812] - (vX_[780] * vX_[735] + vX_[563] * vX_[784]);
+ vX_[14] = 0.110125 * (vX_[74] - vX_[749]) + 0.025941 * vX_[121] - -0.000881 * vX_[747];
+ vX_[137] = 0 - vX_[14];
+ vX_[93] = vX_[780] * vX_[563] + vX_[563] * vX_[780];
+ vX_[74] = -0.881 * (vX_[749] - vX_[74]) + 0.110125 * vX_[121] + 0.417781802643138 * vX_[491] + -0.00370574557885489 * vX_[561] + (0.110125 * vX_[137]) / 0.026181 - -0.000881 * (vX_[93] + vX_[779] * vX_[618] + vX_[618] * vX_[779]);
+ vX_[93] = 0.881 * vX_[747] + -0.000881 * vX_[121] + -0.00370574557885489 * vX_[491] + 0.880970354035369 * vX_[561] + (0.000881 * vX_[137]) / 0.026181 - 0.110125 * (vX_[93] + vX_[785] * vX_[745] + vX_[745] * vX_[785]);
+ vX_[747] = (- vX_[693]) * x_in[31];
+ vX_[121] = vX_[748] * x_in[31];
+ vX_[749] = (- vX_[912]) * x_in[31];
+ vX_[726] = vX_[4] * x_in[31];
+ vX_[534] = vX_[769] * vX_[563] + vX_[693] * vX_[770];
+ vX_[739] = vX_[775] * vX_[739] + vX_[748] * vX_[808] - (vX_[770] * vX_[4] + vX_[563] * vX_[774]);
+ vX_[872] = vX_[775] * vX_[563] + vX_[748] * vX_[770];
+ vX_[817] = vX_[775] * vX_[748] + vX_[748] * vX_[775];
+ vX_[56] = vX_[769] * vX_[693] + vX_[693] * vX_[769];
+ vX_[14] = 0.47422804 * (vX_[69] - vX_[729]) + 0.081641 * vX_[8] + 2.1e-05 * vX_[534] + (0.026181 * vX_[137]) / 0.026181 + vX_[14] + vX_[783] * vX_[74] + vX_[131] * vX_[93] - 0.0825825 * vX_[739] - -0.000102 * vX_[872] - -0.007418 * (vX_[817] - vX_[56]);
+ vX_[107] = 0 - vX_[14];
+ vX_[724] = vX_[770] * vX_[563] + vX_[563] * vX_[770];
+ vX_[69] = -3.146 * (vX_[729] - vX_[69]) + 0.47422804 * vX_[8] + vX_[132] * vX_[74] + vX_[130] * vX_[93] + vX_[151] * vX_[747] + vX_[148] * vX_[121] + vX_[177] * vX_[749] + vX_[179] * vX_[726] + (vX_[144] * vX_[107]) / vX_[146] - 0.0825825 * (vX_[724] + vX_[56]);
+ vX_[739] = 3.146 * vX_[739] + 0.0825825 * vX_[8] + vX_[782] * vX_[74] + vX_[132] * vX_[93] + vX_[157] * vX_[747] + vX_[156] * vX_[121] + vX_[179] * vX_[749] + vX_[178] * vX_[726] + (vX_[154] * vX_[107]) / vX_[146] - 0.47422804 * (vX_[724] + vX_[817]);
+ vX_[93] = (- vX_[128]) * x_in[30];
+ vX_[74] = vX_[198] * x_in[30];
+ vX_[729] = (- vX_[762]) * x_in[30];
+ vX_[96] = vX_[201] * x_in[30];
+ vX_[530] = vX_[756] * vX_[198] + vX_[128] * vX_[757];
+ vX_[35] = vX_[761] * vX_[762];
+ vX_[759] = vX_[756] * 0.207 + vX_[128] * vX_[759];
+ vX_[26] = vX_[128] * vX_[761];
+ vX_[461] = (- vX_[618]) * x_in[32];
+ vX_[735] = vX_[779] * vX_[735] + vX_[618] * vX_[784] - (vX_[785] * vX_[48] + vX_[745] * vX_[786]);
+ vX_[618] = vX_[779] * vX_[563] + vX_[618] * vX_[780];
+ vX_[48] = 0.026409 * vX_[461] - 0.110125 * vX_[735] - 0.025713 * vX_[618];
+ vX_[563] = vX_[785] * vX_[563] + vX_[745] * vX_[780];
+ vX_[745] = vX_[745] * x_in[32];
+ vX_[821] = -0.000227999999999999 * vX_[563] + -0.000881 * vX_[735] + 0.000468 * vX_[745];
+ vX_[745] = 0.110125 * vX_[618] + 0.881 * vX_[735] + -0.000881 * vX_[563] + -0.110125 * vX_[461] + -0.000881 * vX_[745];
+ vX_[4] = vX_[769] * vX_[4] + vX_[693] * vX_[774] - (vX_[775] * vX_[912] + vX_[748] * vX_[776]);
+ vX_[56] = -0.007418 * vX_[872] + -0.000102 * (vX_[724] - vX_[56]) + vX_[132] * vX_[48] + vX_[130] * vX_[821] + -0.35 * vX_[745] + vX_[173] * vX_[747] + vX_[165] * vX_[121] + vX_[151] * vX_[749] + vX_[157] * vX_[726] + (2.1e-05 * vX_[107]) / vX_[146] - 0.47422804 * vX_[4] - 0.084376 * vX_[534] - 2.1e-05 * vX_[8];
+ vX_[821] = 0.002735 * vX_[872] + 0.0825825 * vX_[4] + -0.000102 * vX_[8] + vX_[142] * vX_[48] + vX_[132] * vX_[821] + vX_[165] * vX_[747] + vX_[172] * vX_[121] + vX_[148] * vX_[749] + vX_[156] * vX_[726] + (-0.000102 * vX_[107]) / vX_[146] - -0.007418 * vX_[534] - 2.1e-05 * (vX_[724] - vX_[817]);
+ vX_[4] = 0.47422804 * vX_[534] + 3.146 * vX_[4] + 0.0825825 * vX_[872] + vX_[745] + vX_[143] * vX_[747] + vX_[153] * vX_[121];
+ vX_[745] = vX_[757] * vX_[198] + vX_[198] * vX_[757];
+ vX_[872] = 0.009466 * vX_[530] + 0.1466472 * (vX_[35] - vX_[759]) + -5.1e-05 * vX_[26] + vX_[129] * vX_[56] + vX_[149] * vX_[821] + -0.08 * vX_[4] - 0.022734 * vX_[202] - 3.6e-05 * (vX_[745] - vX_[51]);
+ vX_[534] = 0 - vX_[872];
+ vX_[48] = vX_[756] * vX_[201] + vX_[128] * vX_[802] - (vX_[757] * vX_[762] + vX_[198] * vX_[766]);
+ vX_[14] = -0.5824264 * vX_[911] + 3.6e-05 * vX_[202] + 0.022734 * (0 - vX_[51]) + vX_[773] * vX_[69] + vX_[167] * vX_[739] + -1 * (vX_[14] + (vX_[146] * vX_[107]) / vX_[146]) + vX_[497] * vX_[93] + vX_[547] * vX_[74] + vX_[231] * vX_[729] + vX_[220] * vX_[96] + (vX_[230] * vX_[534]) / vX_[193] - 0.1466472 * vX_[48] - -0.123672 * vX_[26] - -5.1e-05 * vX_[530];
+ vX_[821] = -0.133138 * vX_[202] + -0.5824264 * (vX_[759] - vX_[35]) + 0.022734 * vX_[530] + vX_[150] * vX_[56] + vX_[129] * vX_[821] + vX_[547] * vX_[93] + vX_[192] * vX_[74] + vX_[221] * vX_[729] + vX_[195] * vX_[96] + (vX_[188] * vX_[534]) / vX_[193] - 3.6e-05 * vX_[26] - -5.1e-05 * (0 - vX_[745]);
+ vX_[48] = 3.44 * vX_[48] + 0.1466472 * vX_[26] + vX_[129] * vX_[69] + vX_[149] * vX_[739] + vX_[206] * vX_[93] + vX_[182] * vX_[74] + vX_[224] * vX_[729] + vX_[217] * vX_[96] + (vX_[215] * vX_[534]) / vX_[193] - -0.5824264 * (vX_[745] + vX_[51]);
+ vX_[4] = 0.1466472 * vX_[530] + -3.44 * (vX_[759] - vX_[35]) + -0.5824264 * vX_[202] + -1 * vX_[4] + vX_[231] * vX_[93] + vX_[221] * vX_[74] + vX_[223] * vX_[729] + vX_[209] * vX_[96] + (vX_[207] * vX_[534]) / vX_[193];
+ vX_[745] = 3.44 * vX_[911] + -0.5824264 * vX_[26] + vX_[772] * vX_[69] + vX_[129] * vX_[739] + vX_[220] * vX_[93] + vX_[195] * vX_[74] + vX_[209] * vX_[729] + vX_[235] * vX_[96] + (vX_[191] * vX_[534]) / vX_[193] - 0.1466472 * vX_[745];
+ vX_[26] = vX_[827] * 0.207 + vX_[318] * vX_[835] - vX_[829] * vX_[321];
+ vX_[739] = vX_[318] * vX_[829];
+ vX_[69] = vX_[826] * vX_[320] + vX_[320] * vX_[826];
+ vX_[911] = vX_[267] * 0.207 + vX_[240] * vX_[830] + vX_[289] * vX_[318];
+ vX_[759] = vX_[839] * vX_[911] + vX_[318] * vX_[855];
+ vX_[35] = vX_[240] * vX_[320];
+ vX_[530] = vX_[842] * vX_[321] + vX_[35] * vX_[847];
+ vX_[202] = vX_[268] * vX_[320];
+ vX_[51] = vX_[842] * vX_[202] + vX_[35] * vX_[838];
+ vX_[56] = vX_[842] * vX_[318] + vX_[35] * vX_[839];
+ vX_[724] = vX_[850] * 0.207 + vX_[851] * vX_[830] + vX_[852] * vX_[318];
+ vX_[817] = vX_[243] * vX_[724] + vX_[241] * vX_[911] + vX_[246] * vX_[318];
+ vX_[8] = vX_[849] * vX_[817] + vX_[318] * vX_[863];
+ vX_[748] = -0.35 * vX_[202] + vX_[321];
+ vX_[912] = vX_[241] * vX_[35] + vX_[243] * vX_[202];
+ vX_[693] = vX_[860] * vX_[748] + vX_[912] * vX_[848];
+ vX_[563] = vX_[244] * vX_[35] + vX_[241] * vX_[202];
+ vX_[618] = vX_[860] * vX_[563] + vX_[912] * vX_[844];
+ vX_[735] = vX_[241] * vX_[724] + vX_[854] * vX_[911] + vX_[856] * vX_[318];
+ vX_[748] = vX_[844] * vX_[748] + vX_[563] * vX_[848] - (vX_[849] * vX_[735] + vX_[318] * vX_[857]);
+ vX_[461] = 0.1104774 * (vX_[8] - vX_[693]) + 0.025941 * vX_[618] - 0.0004405 * vX_[748];
+ vX_[63] = 0 - vX_[461];
+ vX_[72] = vX_[844] * vX_[318] + vX_[563] * vX_[849];
+ vX_[331] = (- vX_[817]) * x_in[29];
+ vX_[216] = vX_[735] * x_in[29];
+ vX_[25] = vX_[563] * x_in[29];
+ vX_[90] = vX_[849] * vX_[318] + vX_[318] * vX_[849];
+ vX_[698] = vX_[860] * vX_[912] + vX_[912] * vX_[860];
+ vX_[50] = -0.881 * (vX_[693] - vX_[8]) + 0.1104774 * vX_[618] + -8.81e-05 * vX_[72] + 0.414812462825713 * vX_[331] + 0.00185880198235362 * vX_[216] + 8.81e-05 * vX_[25] + (0.1104774 * vX_[63]) / 0.026181 - 0.0004405 * (vX_[90] + vX_[698]);
+ vX_[752] = vX_[860] * vX_[318] + vX_[912] * vX_[849];
+ vX_[479] = (- vX_[912]) * x_in[29];
+ vX_[16] = vX_[844] * vX_[563] + vX_[563] * vX_[844];
+ vX_[90] = 0.881 * vX_[748] + -8.81e-05 * vX_[752] + 0.0004405 * vX_[618] + 0.00185880198235362 * vX_[331] + 0.880992588508842 * vX_[216] + -8.81e-05 * vX_[479] + (-0.0004405 * vX_[63]) / 0.026181 - 0.1104774 * (vX_[90] + vX_[16]);
+ vX_[618] = vX_[838] * vX_[321] + vX_[202] * vX_[847] - (vX_[839] * vX_[724] + vX_[318] * vX_[853]);
+ vX_[41] = vX_[838] * vX_[318] + vX_[202] * vX_[839];
+ vX_[168] = vX_[838] * vX_[202] + vX_[202] * vX_[838];
+ vX_[3] = vX_[842] * vX_[35] + vX_[35] * vX_[842];
+ vX_[461] = 0.47422804 * (vX_[759] - vX_[530]) + 0.081641 * vX_[51] + 2.1e-05 * vX_[56] + (0.026181 * vX_[63]) / 0.026181 + vX_[461] + vX_[856] * vX_[50] + vX_[246] * vX_[90] - -0.0825825 * vX_[618] - 0.000102 * vX_[41] - 0.007418 * (vX_[168] - vX_[3]);
+ vX_[910] = 0 - vX_[461];
+ vX_[738] = (- vX_[35]) * x_in[28];
+ vX_[544] = vX_[202] * x_in[28];
+ vX_[951] = (- vX_[911]) * x_in[28];
+ vX_[760] = vX_[724] * x_in[28];
+ vX_[452] = vX_[839] * vX_[318] + vX_[318] * vX_[839];
+ vX_[530] = -3.146 * (vX_[530] - vX_[759]) + 0.47422804 * vX_[51] + vX_[241] * vX_[50] + vX_[243] * vX_[90] + vX_[272] * vX_[738] + vX_[266] * vX_[544] + vX_[298] * vX_[951] + vX_[300] * vX_[760] + (vX_[262] * vX_[910]) / vX_[264] - -0.0825825 * (vX_[452] + vX_[3]);
+ vX_[618] = 3.146 * vX_[618] + -0.0825825 * vX_[51] + vX_[854] * vX_[50] + vX_[241] * vX_[90] + vX_[278] * vX_[738] + vX_[277] * vX_[544] + vX_[300] * vX_[951] + vX_[299] * vX_[760] + (vX_[275] * vX_[910]) / vX_[264] - 0.47422804 * (vX_[452] + vX_[168]);
+ vX_[90] = (- vX_[320]) * x_in[27];
+ vX_[50] = vX_[318] * x_in[27];
+ vX_[759] = (- vX_[830]) * x_in[27];
+ vX_[116] = vX_[321] * x_in[27];
+ vX_[92] = vX_[826] * vX_[318] + vX_[320] * vX_[827];
+ vX_[47] = vX_[829] * vX_[830];
+ vX_[835] = vX_[826] * 0.207 + vX_[320] * vX_[835];
+ vX_[475] = vX_[320] * vX_[829];
+ vX_[735] = vX_[860] * vX_[735] + vX_[912] * vX_[857] - (vX_[844] * vX_[817] + vX_[563] * vX_[863]);
+ vX_[748] = -8.81e-05 * vX_[748] + -8.81e-05 * vX_[216] + 0.026409 * vX_[479] - 0.1104774 * vX_[735] - 0.025713 * vX_[752];
+ vX_[693] = 0.0004405 * vX_[735] + -8.81e-05 * (vX_[693] - vX_[8]) + -0.000227999999999999 * vX_[72] + 8.81e-05 * vX_[331] + 0.000468 * vX_[25];
+ vX_[735] = 0.881 * vX_[735] + 0.1104774 * vX_[752] + 0.0004405 * vX_[72] + -0.1104774 * vX_[479] + 0.0004405 * vX_[25] - -8.81e-05 * (vX_[16] + vX_[698]);
+ vX_[724] = vX_[842] * vX_[724] + vX_[35] * vX_[853] - (vX_[838] * vX_[911] + vX_[202] * vX_[855]);
+ vX_[3] = 0.007418 * vX_[41] + 0.000102 * (vX_[452] - vX_[3]) + vX_[241] * vX_[748] + vX_[243] * vX_[693] + -0.35 * vX_[735] + vX_[294] * vX_[738] + vX_[286] * vX_[544] + vX_[272] * vX_[951] + vX_[278] * vX_[760] + (vX_[271] * vX_[910]) / vX_[264] - 0.47422804 * vX_[724] - 0.084376 * vX_[56] - 2.1e-05 * vX_[51];
+ vX_[693] = 0.002735 * vX_[41] + -0.0825825 * vX_[724] + 0.000102 * vX_[51] + vX_[244] * vX_[748] + vX_[241] * vX_[693] + vX_[286] * vX_[738] + vX_[293] * vX_[544] + vX_[266] * vX_[951] + vX_[277] * vX_[760] + (vX_[252] * vX_[910]) / vX_[264] - 0.007418 * vX_[56] - 2.1e-05 * (vX_[452] - vX_[168]);
+ vX_[724] = 0.47422804 * vX_[56] + 3.146 * vX_[724] + -0.0825825 * vX_[41] + vX_[735] + vX_[261] * vX_[738] + vX_[274] * vX_[544];
+ vX_[735] = vX_[827] * vX_[318] + vX_[318] * vX_[827];
+ vX_[41] = 0.009466 * vX_[92] + 0.1466472 * (vX_[47] - vX_[835]) + -5.1e-05 * vX_[475] + vX_[287] * vX_[3] + vX_[268] * vX_[693] + 0.08 * vX_[724] - 0.022734 * vX_[739] - 3.6e-05 * (vX_[735] - vX_[69]);
+ vX_[56] = 0 - vX_[41];
+ vX_[748] = vX_[826] * vX_[321] + vX_[320] * vX_[846] - (vX_[827] * vX_[830] + vX_[318] * vX_[833]);
+ vX_[461] = -0.5824264 * vX_[26] + 3.6e-05 * vX_[739] + 0.022734 * (0 - vX_[69]) + (vX_[264] * vX_[910]) / vX_[264] + vX_[461] + vX_[852] * vX_[530] + vX_[289] * vX_[618] + vX_[511] * vX_[90] + vX_[556] * vX_[50] + vX_[351] * vX_[759] + vX_[340] * vX_[116] + (vX_[350] * vX_[56]) / vX_[314] - 0.1466472 * vX_[748] - -0.123672 * vX_[475] - -5.1e-05 * vX_[92];
+ vX_[693] = -0.133138 * vX_[739] + -0.5824264 * (vX_[835] - vX_[47]) + 0.022734 * vX_[92] + vX_[268] * vX_[3] + vX_[240] * vX_[693] + vX_[556] * vX_[90] + vX_[313] * vX_[50] + vX_[341] * vX_[759] + vX_[316] * vX_[116] + (vX_[309] * vX_[56]) / vX_[314] - 3.6e-05 * vX_[475] - -5.1e-05 * (0 - vX_[735]);
+ vX_[748] = 3.44 * vX_[748] + 0.1466472 * vX_[475] + vX_[850] * vX_[530] + vX_[267] * vX_[618] + vX_[326] * vX_[90] + vX_[303] * vX_[50] + vX_[344] * vX_[759] + vX_[337] * vX_[116] + (vX_[335] * vX_[56]) / vX_[314] - -0.5824264 * (vX_[735] + vX_[69]);
+ vX_[724] = 0.1466472 * vX_[92] + -3.44 * (vX_[835] - vX_[47]) + -0.5824264 * vX_[739] + vX_[724] + vX_[351] * vX_[90] + vX_[341] * vX_[50] + vX_[343] * vX_[759] + vX_[329] * vX_[116] + (vX_[327] * vX_[56]) / vX_[314];
+ vX_[735] = 3.44 * vX_[26] + -0.5824264 * vX_[475] + vX_[851] * vX_[530] + vX_[240] * vX_[618] + vX_[340] * vX_[90] + vX_[316] * vX_[50] + vX_[329] * vX_[759] + vX_[355] * vX_[116] + (vX_[312] * vX_[56]) / vX_[314] - 0.1466472 * vX_[735];
+ vX_[475] = vX_[601] * 0.207 + vX_[440] * vX_[579] - vX_[580] * vX_[443];
+ vX_[618] = vX_[440] * vX_[580];
+ vX_[530] = vX_[588] * vX_[360] + vX_[360] * vX_[588];
+ vX_[26] = -1 * vX_[443];
+ vX_[835] = vX_[361] * vX_[360];
+ vX_[47] = vX_[593] * vX_[26] + vX_[835] * vX_[599];
+ vX_[92] = vX_[388] * 0.207 + vX_[361] * vX_[610] + vX_[409] * vX_[440];
+ vX_[739] = -1 * vX_[440];
+ vX_[69] = vX_[602] * vX_[92] + vX_[739] * vX_[614];
+ vX_[3] = vX_[389] * vX_[360];
+ vX_[452] = vX_[593] * vX_[3] + vX_[835] * vX_[617];
+ vX_[168] = -0.35 * vX_[3] + vX_[26];
+ vX_[51] = vX_[362] * vX_[835] + vX_[364] * vX_[3];
+ vX_[202] = vX_[619] * vX_[168] + vX_[51] * vX_[622];
+ vX_[35] = vX_[361] * 0.207 + vX_[625] * vX_[610] + vX_[592] * vX_[440];
+ vX_[911] = vX_[364] * vX_[35] + vX_[362] * vX_[92] + vX_[367] * vX_[739];
+ vX_[16] = vX_[624] * vX_[911] + vX_[739] * vX_[629];
+ vX_[479] = vX_[365] * vX_[835] + vX_[362] * vX_[3];
+ vX_[752] = vX_[619] * vX_[479] + vX_[51] * vX_[632];
+ vX_[698] = vX_[632] * vX_[739] + vX_[479] * vX_[624];
+ vX_[25] = (- vX_[911]) * x_in[26];
+ vX_[72] = vX_[362] * vX_[35] + vX_[636] * vX_[92] + vX_[637] * vX_[739];
+ vX_[8] = vX_[72] * x_in[26];
+ vX_[563] = vX_[479] * x_in[26];
+ vX_[168] = vX_[632] * vX_[168] + vX_[479] * vX_[622] - (vX_[624] * vX_[72] + vX_[739] * vX_[641]);
+ vX_[912] = 0.1104774 * (vX_[16] - vX_[202]) + 0.025941 * vX_[752] - 0.0004405 * vX_[168];
+ vX_[817] = 0 - vX_[912];
+ vX_[545] = vX_[624] * vX_[739] + vX_[739] * vX_[624];
+ vX_[58] = vX_[619] * vX_[51] + vX_[51] * vX_[619];
+ vX_[59] = -0.881 * (vX_[202] - vX_[16]) + 0.1104774 * vX_[752] + -8.81e-05 * vX_[698] + 0.414812462825713 * vX_[25] + 0.00185880198235362 * vX_[8] + 8.81e-05 * vX_[563] + (0.1104774 * vX_[817]) / 0.026181 - 0.0004405 * (vX_[545] + vX_[58]);
+ vX_[53] = vX_[619] * vX_[739] + vX_[51] * vX_[624];
+ vX_[166] = (- vX_[51]) * x_in[26];
+ vX_[731] = vX_[632] * vX_[479] + vX_[479] * vX_[632];
+ vX_[545] = 0.881 * vX_[168] + -8.81e-05 * vX_[53] + 0.0004405 * vX_[752] + 0.00185880198235362 * vX_[25] + 0.880992588508842 * vX_[8] + -8.81e-05 * vX_[166] + (-0.0004405 * vX_[817]) / 0.026181 - 0.1104774 * (vX_[545] + vX_[731]);
+ vX_[752] = (- vX_[835]) * x_in[25];
+ vX_[753] = vX_[3] * x_in[25];
+ vX_[717] = (- vX_[92]) * x_in[25];
+ vX_[104] = vX_[35] * x_in[25];
+ vX_[944] = vX_[593] * vX_[739] + vX_[835] * vX_[602];
+ vX_[26] = vX_[617] * vX_[26] + vX_[3] * vX_[599] - (vX_[602] * vX_[35] + vX_[739] * vX_[628]);
+ vX_[52] = vX_[617] * vX_[739] + vX_[3] * vX_[602];
+ vX_[44] = vX_[617] * vX_[3] + vX_[3] * vX_[617];
+ vX_[416] = vX_[593] * vX_[835] + vX_[835] * vX_[593];
+ vX_[912] = 0.47422804 * (vX_[69] - vX_[47]) + 0.081641 * vX_[452] + 2.1e-05 * vX_[944] + (0.026181 * vX_[817]) / 0.026181 + vX_[912] + vX_[637] * vX_[59] + vX_[367] * vX_[545] - -0.0825825 * vX_[26] - 0.000102 * vX_[52] - 0.007418 * (vX_[44] - vX_[416]);
+ vX_[746] = 0 - vX_[912];
+ vX_[739] = vX_[602] * vX_[739] + vX_[739] * vX_[602];
+ vX_[69] = -3.146 * (vX_[47] - vX_[69]) + 0.47422804 * vX_[452] + vX_[362] * vX_[59] + vX_[364] * vX_[545] + vX_[393] * vX_[752] + vX_[387] * vX_[753] + vX_[419] * vX_[717] + vX_[421] * vX_[104] + (vX_[383] * vX_[746]) / vX_[385] - -0.0825825 * (vX_[739] + vX_[416]);
+ vX_[26] = 3.146 * vX_[26] + -0.0825825 * vX_[452] + vX_[636] * vX_[59] + vX_[362] * vX_[545] + vX_[399] * vX_[752] + vX_[398] * vX_[753] + vX_[421] * vX_[717] + vX_[420] * vX_[104] + (vX_[396] * vX_[746]) / vX_[385] - 0.47422804 * (vX_[739] + vX_[44]);
+ vX_[545] = (- vX_[360]) * x_in[24];
+ vX_[59] = vX_[440] * x_in[24];
+ vX_[47] = (- vX_[610]) * x_in[24];
+ vX_[49] = vX_[443] * x_in[24];
+ vX_[170] = vX_[588] * vX_[440] + vX_[360] * vX_[601];
+ vX_[138] = vX_[580] * vX_[610];
+ vX_[579] = vX_[588] * 0.207 + vX_[360] * vX_[579];
+ vX_[98] = vX_[360] * vX_[580];
+ vX_[72] = vX_[619] * vX_[72] + vX_[51] * vX_[641] - (vX_[632] * vX_[911] + vX_[479] * vX_[629]);
+ vX_[168] = -8.81e-05 * vX_[168] + -8.81e-05 * vX_[8] + 0.026409 * vX_[166] - 0.1104774 * vX_[72] - 0.025713 * vX_[53];
+ vX_[16] = 0.0004405 * vX_[72] + -8.81e-05 * (vX_[202] - vX_[16]) + -0.000227999999999999 * vX_[698] + 8.81e-05 * vX_[25] + 0.000468 * vX_[563];
+ vX_[72] = 0.881 * vX_[72] + 0.1104774 * vX_[53] + 0.0004405 * vX_[698] + -0.1104774 * vX_[166] + 0.0004405 * vX_[563] - -8.81e-05 * (vX_[731] + vX_[58]);
+ vX_[35] = vX_[593] * vX_[35] + vX_[835] * vX_[628] - (vX_[617] * vX_[92] + vX_[3] * vX_[614]);
+ vX_[416] = 0.007418 * vX_[52] + 0.000102 * (vX_[739] - vX_[416]) + vX_[362] * vX_[168] + vX_[364] * vX_[16] + -0.35 * vX_[72] + vX_[415] * vX_[752] + vX_[407] * vX_[753] + vX_[393] * vX_[717] + vX_[399] * vX_[104] + (vX_[392] * vX_[746]) / vX_[385] - 0.47422804 * vX_[35] - 0.084376 * vX_[944] - 2.1e-05 * vX_[452];
+ vX_[16] = 0.002735 * vX_[52] + -0.0825825 * vX_[35] + 0.000102 * vX_[452] + vX_[365] * vX_[168] + vX_[362] * vX_[16] + vX_[407] * vX_[752] + vX_[414] * vX_[753] + vX_[387] * vX_[717] + vX_[398] * vX_[104] + (vX_[373] * vX_[746]) / vX_[385] - 0.007418 * vX_[944] - 2.1e-05 * (vX_[739] - vX_[44]);
+ vX_[35] = 0.47422804 * vX_[944] + 3.146 * vX_[35] + -0.0825825 * vX_[52] + vX_[72] + vX_[382] * vX_[752] + vX_[395] * vX_[753];
+ vX_[72] = vX_[601] * vX_[440] + vX_[440] * vX_[601];
+ vX_[52] = 0.009466 * vX_[170] + 0.1466472 * (vX_[138] - vX_[579]) + -5.1e-05 * vX_[98] + vX_[361] * vX_[416] + vX_[388] * vX_[16] + -0.08 * vX_[35] - -0.022734 * vX_[618] - -3.6e-05 * (vX_[72] - vX_[530]);
+ vX_[944] = 0 - vX_[52];
+ vX_[168] = vX_[588] * vX_[443] + vX_[360] * vX_[598] - (vX_[601] * vX_[610] + vX_[440] * vX_[613]);
+ vX_[912] = 0.5824264 * vX_[475] + -3.6e-05 * vX_[618] + -0.022734 * (0 - vX_[530]) + vX_[592] * vX_[69] + vX_[409] * vX_[26] + -1 * (vX_[912] + (vX_[385] * vX_[746]) / vX_[385]) + vX_[525] * vX_[545] + vX_[565] * vX_[59] + vX_[473] * vX_[47] + vX_[462] * vX_[49] + (vX_[472] * vX_[944]) / vX_[435] - 0.1466472 * vX_[168] - -0.123672 * vX_[98] - -5.1e-05 * vX_[170];
+ vX_[16] = -0.133138 * vX_[618] + 0.5824264 * (vX_[579] - vX_[138]) + -0.022734 * vX_[170] + vX_[389] * vX_[416] + vX_[361] * vX_[16] + vX_[565] * vX_[545] + vX_[434] * vX_[59] + vX_[463] * vX_[47] + vX_[437] * vX_[49] + (vX_[430] * vX_[944]) / vX_[435] - -3.6e-05 * vX_[98] - -5.1e-05 * (0 - vX_[72]);
+ vX_[168] = 3.44 * vX_[168] + 0.1466472 * vX_[98] + vX_[361] * vX_[69] + vX_[388] * vX_[26] + vX_[448] * vX_[545] + vX_[424] * vX_[59] + vX_[466] * vX_[47] + vX_[459] * vX_[49] + (vX_[457] * vX_[944]) / vX_[435] - 0.5824264 * (vX_[72] + vX_[530]);
+ vX_[35] = 0.1466472 * vX_[170] + -3.44 * (vX_[579] - vX_[138]) + 0.5824264 * vX_[618] + -1 * vX_[35] + vX_[473] * vX_[545] + vX_[463] * vX_[59] + vX_[465] * vX_[47] + vX_[451] * vX_[49] + (vX_[449] * vX_[944]) / vX_[435];
+ vX_[72] = 3.44 * vX_[475] + 0.5824264 * vX_[98] + vX_[625] * vX_[69] + vX_[361] * vX_[26] + vX_[462] * vX_[545] + vX_[437] * vX_[59] + vX_[451] * vX_[47] + vX_[477] * vX_[49] + (vX_[433] * vX_[944]) / vX_[435] - 0.1466472 * vX_[72];
+ vX_[98] = 0 - x_in[22];
+ vX_[26] = x_in[20] + x_in[20];
+ vX_[52] = (2.0678571 * (0 - x_in[21]) + 0.473273 * x_in[19] + (vX_[82] * vX_[727]) / vX_[82] + vX_[568] + vX_[703] * vX_[100] + vX_[85] * vX_[899] + vX_[701] * vX_[4] + vX_[196] * vX_[745] + -1 * (vX_[872] + (vX_[193] * vX_[534]) / vX_[193]) + (vX_[314] * vX_[56]) / vX_[314] + vX_[41] + vX_[845] * vX_[724] + vX_[317] * vX_[735] + vX_[596] * vX_[35] + vX_[438] * vX_[72] + -1 * (vX_[52] + (vX_[435] * vX_[944]) / vX_[435]) - -0.00571 * x_in[18] - 0.012668 * vX_[26]) / vX_[573];
+ vX_[41] = (2.0678571 * vX_[98] + -0.00571 * x_in[19] + 0.190812 * vX_[26] + vX_[24] * vX_[885] + vX_[86] * vX_[122] + vX_[87] * vX_[100] + vX_[608] * vX_[899] + vX_[128] * vX_[14] + vX_[199] * vX_[821] + vX_[200] * vX_[4] + vX_[763] * vX_[745] + vX_[239] * vX_[461] + vX_[318] * vX_[693] + vX_[319] * vX_[724] + vX_[831] * vX_[735] + vX_[360] * vX_[912] + vX_[441] * vX_[16] + vX_[442] * vX_[35] + vX_[611] * vX_[72] - 4.847485 * x_in[18] - vX_[689] * vX_[52]) / vX_[570];
+ vX_[16] = (-1.1915559 * x_in[21] + 0.012668 * x_in[18] + vX_[86] * vX_[885] + vX_[88] * vX_[122] + 0.207 * vX_[102] + vX_[89] * vX_[100] + vX_[649] * vX_[899] + vX_[198] * vX_[14] + vX_[128] * vX_[821] + 0.207 * vX_[48] + vX_[201] * vX_[4] + vX_[762] * vX_[745] + vX_[318] * vX_[461] + vX_[320] * vX_[693] + 0.207 * vX_[748] + vX_[321] * vX_[724] + vX_[830] * vX_[735] + vX_[440] * vX_[912] + vX_[360] * vX_[16] + 0.207 * vX_[168] + vX_[443] * vX_[35] + vX_[610] * vX_[72] - -0.0053433 * vX_[98] - 0.190812 * x_in[19] - vX_[687] * vX_[41] - vX_[480] * vX_[52]) / vX_[572];
+ vX_[98] = (53.433 * vX_[98] + 2.0678571 * x_in[18] + vX_[102] + -1 * vX_[48] + vX_[748] + -1 * vX_[168] - -1.1915559 * vX_[26] - vX_[932] * vX_[41] - vX_[949] * vX_[52] - vX_[946] * vX_[16]) / vX_[976];
+ vX_[26] = (-53.433 * (0 - x_in[21]) + 2.0678571 * x_in[19] + vX_[24] * vX_[100] + vX_[86] * vX_[899] + vX_[127] * vX_[4] + vX_[765] * vX_[745] + vX_[239] * vX_[724] + vX_[318] * vX_[735] + vX_[597] * vX_[35] + vX_[612] * vX_[72] - -0.0053433 * vX_[26] - vX_[913] * vX_[41] - vX_[933] * vX_[52] - vX_[722] * vX_[16] - vX_[948] * vX_[98]) / vX_[973];
+ vX_[72] = (-1.1915559 * x_in[18] + -0.0053433 * x_in[19] + vX_[86] * vX_[100] + vX_[616] * vX_[899] + vX_[198] * vX_[4] + vX_[764] * vX_[745] + vX_[318] * vX_[724] + vX_[832] * vX_[735] + vX_[440] * vX_[35] + vX_[359] * vX_[72] - vX_[977] * vX_[41] - vX_[945] * vX_[52] - vX_[474] * vX_[16] - vX_[984] * vX_[98] - vX_[955] * vX_[26]) / vX_[975];
+ jac[743] = - vX_[72];
+ vX_[26] = vX_[26] - vX_[986] * vX_[72];
+ jac[742] = - vX_[26];
+ vX_[98] = vX_[98] - vX_[985] * vX_[72] - vX_[919] * vX_[26];
+ jac[741] = - vX_[98];
+ vX_[16] = vX_[16] - vX_[936] * vX_[26] - vX_[947] * vX_[98] - vX_[980] * vX_[72];
+ jac[740] = - vX_[16];
+ vX_[41] = vX_[41] - vX_[938] * vX_[98] - vX_[586] * vX_[16] - vX_[935] * vX_[26] - vX_[979] * vX_[72];
+ jac[738] = vX_[574] * vX_[16] + vX_[688] * vX_[41] + vX_[937] * vX_[98] + vX_[934] * vX_[26] + vX_[978] * vX_[72] - vX_[52];
+ jac[739] = - vX_[41];
+ vX_[41] = -1 * jac[738];
+ vX_[545] = vX_[440] * jac[740] + vX_[360] * jac[739] + vX_[545];
+ vX_[59] = vX_[360] * jac[740] + vX_[441] * jac[739] + vX_[59];
+ vX_[16] = -1 * jac[741];
+ vX_[98] = 0.207 * jac[740] + vX_[16];
+ vX_[49] = vX_[610] * jac[740] + vX_[611] * jac[739] + vX_[438] * jac[738] + vX_[359] * jac[743] + vX_[612] * jac[742] + vX_[49];
+ jac[744] = (vX_[944] - vX_[435] * vX_[41] - vX_[472] * vX_[545] - vX_[430] * vX_[59] - vX_[457] * vX_[98] - vX_[449] * (vX_[443] * jac[740] + vX_[442] * jac[739] + vX_[596] * jac[738] + vX_[440] * jac[743] + vX_[597] * jac[742] + vX_[47]) - vX_[433] * vX_[49]) / vX_[435];
+ vX_[944] = -1 * vX_[545];
+ vX_[47] = vX_[41] + jac[744];
+ vX_[717] = vX_[361] * vX_[98] + vX_[625] * vX_[49] + vX_[592] * vX_[545] + vX_[717];
+ vX_[49] = vX_[388] * vX_[98] + vX_[361] * vX_[49] + vX_[409] * vX_[545] + vX_[104];
+ jac[745] = (vX_[746] - vX_[385] * vX_[944] - vX_[392] * (vX_[361] * vX_[47] + vX_[389] * vX_[59] + vX_[752]) - vX_[373] * (vX_[388] * vX_[47] + vX_[361] * vX_[59] + vX_[753]) - vX_[383] * vX_[717] - vX_[396] * vX_[49]) / vX_[385];
+ vX_[944] = vX_[944] + jac[745];
+ jac[746] = (vX_[817] - 0.1104774 * (vX_[362] * vX_[717] + vX_[636] * vX_[49] + vX_[637] * vX_[944] + vX_[25]) - -0.0004405 * (vX_[364] * vX_[717] + vX_[362] * vX_[49] + vX_[367] * vX_[944] + vX_[8]) - 0.026181 * vX_[944]) / 0.026181;
+ vX_[90] = vX_[318] * jac[740] + vX_[239] * jac[739] + vX_[90];
+ vX_[50] = vX_[320] * jac[740] + vX_[318] * jac[739] + vX_[50];
+ vX_[944] = 0.207 * jac[740] + jac[741];
+ vX_[116] = vX_[830] * jac[740] + vX_[831] * jac[739] + vX_[317] * jac[738] + vX_[832] * jac[743] + vX_[318] * jac[742] + vX_[116];
+ jac[747] = (vX_[56] - vX_[314] * jac[738] - vX_[350] * vX_[90] - vX_[309] * vX_[50] - vX_[335] * vX_[944] - vX_[327] * (vX_[321] * jac[740] + vX_[319] * jac[739] + vX_[845] * jac[738] + vX_[318] * jac[743] + vX_[239] * jac[742] + vX_[759]) - vX_[312] * vX_[116]) / vX_[314];
+ vX_[56] = jac[738] + jac[747];
+ vX_[951] = vX_[850] * vX_[944] + vX_[851] * vX_[116] + vX_[852] * vX_[90] + vX_[951];
+ vX_[116] = vX_[267] * vX_[944] + vX_[240] * vX_[116] + vX_[289] * vX_[90] + vX_[760];
+ jac[748] = (vX_[910] - vX_[264] * vX_[90] - vX_[271] * (vX_[287] * vX_[56] + vX_[268] * vX_[50] + vX_[738]) - vX_[252] * (vX_[268] * vX_[56] + vX_[240] * vX_[50] + vX_[544]) - vX_[262] * vX_[951] - vX_[275] * vX_[116]) / vX_[264];
+ vX_[90] = vX_[90] + jac[748];
+ jac[749] = (vX_[63] - 0.1104774 * (vX_[241] * vX_[951] + vX_[854] * vX_[116] + vX_[856] * vX_[90] + vX_[331]) - -0.0004405 * (vX_[243] * vX_[951] + vX_[241] * vX_[116] + vX_[246] * vX_[90] + vX_[216]) - 0.026181 * vX_[90]) / 0.026181;
+ vX_[93] = vX_[198] * jac[740] + vX_[128] * jac[739] + vX_[93];
+ vX_[74] = vX_[128] * jac[740] + vX_[199] * jac[739] + vX_[74];
+ vX_[16] = 0.207 * jac[740] + vX_[16];
+ vX_[96] = vX_[762] * jac[740] + vX_[763] * jac[739] + vX_[196] * jac[738] + vX_[764] * jac[743] + vX_[765] * jac[742] + vX_[96];
+ jac[750] = (vX_[534] - vX_[193] * vX_[41] - vX_[230] * vX_[93] - vX_[188] * vX_[74] - vX_[215] * vX_[16] - vX_[207] * (vX_[201] * jac[740] + vX_[200] * jac[739] + vX_[701] * jac[738] + vX_[198] * jac[743] + vX_[127] * jac[742] + vX_[729]) - vX_[191] * vX_[96]) / vX_[193];
+ vX_[534] = -1 * vX_[93];
+ vX_[41] = vX_[41] + jac[750];
+ vX_[749] = vX_[129] * vX_[16] + vX_[772] * vX_[96] + vX_[773] * vX_[93] + vX_[749];
+ vX_[96] = vX_[149] * vX_[16] + vX_[129] * vX_[96] + vX_[167] * vX_[93] + vX_[726];
+ jac[751] = (vX_[107] - vX_[146] * vX_[534] - 2.1e-05 * (vX_[129] * vX_[41] + vX_[150] * vX_[74] + vX_[747]) - -0.000102 * (vX_[149] * vX_[41] + vX_[129] * vX_[74] + vX_[121]) - vX_[144] * vX_[749] - vX_[154] * vX_[96]) / vX_[146];
+ vX_[534] = vX_[534] + jac[751];
+ jac[752] = (vX_[137] - 0.110125 * (vX_[132] * vX_[749] + vX_[782] * vX_[96] + vX_[783] * vX_[534] + vX_[491]) - 0.000881 * (vX_[130] * vX_[749] + vX_[132] * vX_[96] + vX_[131] * vX_[534] + vX_[561]) - 0.026181 * vX_[534]) / 0.026181;
+ vX_[733] = vX_[86] * jac[740] + vX_[24] * jac[739] + vX_[733];
+ vX_[83] = vX_[88] * jac[740] + vX_[86] * jac[739] + vX_[83];
+ vX_[534] = 0.207 * jac[740] + jac[741];
+ vX_[744] = vX_[649] * jac[740] + vX_[608] * jac[739] + vX_[85] * jac[738] + vX_[616] * jac[743] + vX_[86] * jac[742] + vX_[744];
+ jac[753] = (vX_[727] - vX_[82] * jac[738] - vX_[118] * vX_[733] - vX_[77] * vX_[83] - vX_[103] * vX_[534] - vX_[95] * (vX_[89] * jac[740] + vX_[87] * jac[739] + vX_[703] * jac[738] + vX_[86] * jac[743] + vX_[24] * jac[742] + vX_[532]) - vX_[80] * vX_[744]) / vX_[82];
+ vX_[727] = jac[738] + jac[753];
+ vX_[233] = vX_[708] * vX_[534] + vX_[709] * vX_[744] + vX_[710] * vX_[733] + vX_[233];
+ vX_[744] = vX_[10] * vX_[534] + vX_[33] * vX_[744] + vX_[57] * vX_[733] + vX_[70];
+ jac[754] = (vX_[110] - vX_[17] * vX_[733] - vX_[6] * (vX_[55] * vX_[727] + vX_[38] * vX_[83] + vX_[682]) - vX_[23] * (vX_[38] * vX_[727] + vX_[33] * vX_[83] + vX_[482]) - vX_[15] * vX_[233] - vX_[43] * vX_[744]) / vX_[17];
+ vX_[733] = vX_[733] + jac[754];
+ jac[755] = (vX_[755] - 0.1104774 * (vX_[20] * vX_[233] + vX_[712] * vX_[744] + vX_[714] * vX_[733] + vX_[751]) - 0.0004405 * (vX_[37] * vX_[233] + vX_[20] * vX_[744] + vX_[34] * vX_[733] + vX_[795]) - 0.026181 * vX_[733]) / 0.026181;
+ vX_[11] = vX_[12] * vX_[11];
+ vX_[733] = vX_[22] * vX_[21];
+ jac[759] = 1 - vX_[11] - vX_[733];
+ vX_[744] = vX_[22] * vX_[19];
+ vX_[233] = vX_[12] * vX_[0];
+ jac[760] = vX_[744] + vX_[233];
+ jac[795] = vX_[744] - vX_[233];
+ vX_[233] = vX_[12] * vX_[19];
+ vX_[22] = vX_[22] * vX_[0];
+ jac[761] = vX_[233] - vX_[22];
+ jac[831] = vX_[233] + vX_[22];
+ vX_[22] = vX_[697] * vX_[10];
+ vX_[233] = vX_[37] * vX_[708] + vX_[20] * vX_[10];
+ vX_[744] = vX_[707] * vX_[233];
+ vX_[795] = vX_[20] * vX_[708] + vX_[712] * vX_[10];
+ vX_[751] = 0 - vX_[707] * vX_[795];
+ vX_[755] = 0.1104774 * vX_[744] - -0.0004405 * vX_[751];
+ vX_[727] = 0 - vX_[755];
+ vX_[83] = (- vX_[233]) * x_in[35];
+ vX_[482] = vX_[795] * x_in[35];
+ vX_[682] = -0.881 * (0 - vX_[744]) + 0.414812462825713 * vX_[83] + -0.00185880198235362 * vX_[482] + (0.1104774 * vX_[727]) / 0.026181;
+ vX_[110] = 0.881 * vX_[751] + -0.00185880198235362 * vX_[83] + 0.880992588508842 * vX_[482] + (0.0004405 * vX_[727]) / 0.026181;
+ vX_[534] = 0 - vX_[697] * vX_[708];
+ vX_[755] = 0.47422804 * vX_[22] + (0.026181 * vX_[727]) / 0.026181 + vX_[755] + vX_[714] * vX_[682] + vX_[34] * vX_[110] - 0.0825825 * vX_[534];
+ vX_[70] = 0 - vX_[755];
+ vX_[532] = (- vX_[10]) * x_in[34];
+ vX_[96] = vX_[708] * x_in[34];
+ vX_[22] = -3.146 * (0 - vX_[22]) + vX_[20] * vX_[682] + vX_[37] * vX_[110] + vX_[66] * vX_[532] + vX_[68] * vX_[96] + (vX_[15] * vX_[70]) / vX_[17];
+ vX_[534] = 3.146 * vX_[534] + vX_[712] * vX_[682] + vX_[20] * vX_[110] + vX_[68] * vX_[532] + vX_[67] * vX_[96] + (vX_[43] * vX_[70]) / vX_[17];
+ vX_[795] = vX_[718] * vX_[795] - vX_[702] * vX_[233];
+ vX_[751] = 8.81e-05 * vX_[751] + 8.81e-05 * vX_[482] - 0.1104774 * vX_[795];
+ vX_[744] = -0.0004405 * vX_[795] + 8.81e-05 * (0 - vX_[744]) + -8.81e-05 * vX_[83];
+ vX_[795] = 0.881 * vX_[795];
+ vX_[233] = vX_[700] * vX_[708] - vX_[696] * vX_[10];
+ vX_[110] = vX_[20] * vX_[751] + vX_[37] * vX_[744] + -0.35 * vX_[795] + vX_[31] * vX_[532] + vX_[46] * vX_[96] + (vX_[6] * vX_[70]) / vX_[17] - 0.47422804 * vX_[233];
+ vX_[744] = 0.0825825 * vX_[233] + vX_[36] * vX_[751] + vX_[20] * vX_[744] + vX_[13] * vX_[532] + vX_[45] * vX_[96] + (vX_[23] * vX_[70]) / vX_[17];
+ vX_[233] = 3.146 * vX_[233] + vX_[795];
+ vX_[795] = 0.1466472 * (0 - vX_[659]) + vX_[55] * vX_[110] + vX_[38] * vX_[744] + 0.08 * vX_[233];
+ vX_[751] = 0 - vX_[795];
+ vX_[755] = 0.5824264 * vX_[587] + (vX_[17] * vX_[70]) / vX_[17] + vX_[755] + vX_[710] * vX_[22] + vX_[57] * vX_[534] + (vX_[118] * vX_[751]) / vX_[82];
+ vX_[744] = 0.5824264 * vX_[659] + vX_[38] * vX_[110] + vX_[33] * vX_[744] + (vX_[77] * vX_[751]) / vX_[82];
+ vX_[110] = vX_[708] * vX_[22] + vX_[10] * vX_[534] + (vX_[103] * vX_[751]) / vX_[82];
+ vX_[233] = -3.44 * vX_[659] + vX_[233] + (vX_[95] * vX_[751]) / vX_[82];
+ vX_[534] = 3.44 * vX_[587] + vX_[709] * vX_[22] + vX_[33] * vX_[534] + (vX_[80] * vX_[751]) / vX_[82];
+ vX_[22] = vX_[757] * -1;
+ vX_[682] = vX_[149] * -1;
+ vX_[749] = vX_[770] * vX_[682];
+ vX_[137] = vX_[129] * -1;
+ vX_[561] = vX_[130] * vX_[137] + vX_[132] * vX_[682];
+ vX_[491] = vX_[780] * vX_[561];
+ vX_[41] = (- vX_[561]) * x_in[32];
+ vX_[74] = vX_[132] * vX_[137] + vX_[782] * vX_[682];
+ vX_[107] = vX_[74] * x_in[32];
+ vX_[121] = 0 - vX_[780] * vX_[74];
+ vX_[747] = 0.110125 * vX_[491] - -0.000881 * vX_[121];
+ vX_[16] = 0 - vX_[747];
+ vX_[491] = -0.881 * (0 - vX_[491]) + 0.417781802643138 * vX_[41] + -0.00370574557885489 * vX_[107] + (0.110125 * vX_[16]) / 0.026181;
+ vX_[121] = 0.881 * vX_[121] + -0.00370574557885489 * vX_[41] + 0.880970354035369 * vX_[107] + (0.000881 * vX_[16]) / 0.026181;
+ vX_[93] = (- vX_[682]) * x_in[31];
+ vX_[726] = vX_[137] * x_in[31];
+ vX_[729] = 0 - vX_[770] * vX_[137];
+ vX_[747] = 0.47422804 * vX_[749] + (0.026181 * vX_[16]) / 0.026181 + vX_[747] + vX_[783] * vX_[491] + vX_[131] * vX_[121] - 0.0825825 * vX_[729];
+ vX_[90] = 0 - vX_[747];
+ vX_[749] = -3.146 * (0 - vX_[749]) + vX_[132] * vX_[491] + vX_[130] * vX_[121] + vX_[177] * vX_[93] + vX_[179] * vX_[726] + (vX_[144] * vX_[90]) / vX_[146];
+ vX_[729] = 3.146 * vX_[729] + vX_[782] * vX_[491] + vX_[132] * vX_[121] + vX_[179] * vX_[93] + vX_[178] * vX_[726] + (vX_[154] * vX_[90]) / vX_[146];
+ vX_[121] = vX_[756] * -1;
+ vX_[74] = vX_[779] * vX_[74] - vX_[785] * vX_[561];
+ vX_[561] = 0 - 0.110125 * vX_[74];
+ vX_[491] = -0.000881 * vX_[74];
+ vX_[74] = 0.881 * vX_[74];
+ vX_[137] = vX_[769] * vX_[137] - vX_[775] * vX_[682];
+ vX_[682] = vX_[132] * vX_[561] + vX_[130] * vX_[491] + -0.35 * vX_[74] + vX_[151] * vX_[93] + vX_[157] * vX_[726] + (2.1e-05 * vX_[90]) / vX_[146] - 0.47422804 * vX_[137];
+ vX_[491] = 0.0825825 * vX_[137] + vX_[142] * vX_[561] + vX_[132] * vX_[491] + vX_[148] * vX_[93] + vX_[156] * vX_[726] + (-0.000102 * vX_[90]) / vX_[146];
+ vX_[137] = 3.146 * vX_[137] + vX_[74];
+ vX_[74] = 0.1466472 * (0 - vX_[121]) + vX_[129] * vX_[682] + vX_[149] * vX_[491] + -0.08 * vX_[137];
+ vX_[561] = 0 - vX_[74];
+ vX_[747] = -0.5824264 * vX_[22] + vX_[773] * vX_[749] + vX_[167] * vX_[729] + -1 * (vX_[747] + (vX_[146] * vX_[90]) / vX_[146]) + (vX_[230] * vX_[561]) / vX_[193];
+ vX_[491] = -0.5824264 * vX_[121] + vX_[150] * vX_[682] + vX_[129] * vX_[491] + (vX_[188] * vX_[561]) / vX_[193];
+ vX_[682] = vX_[129] * vX_[749] + vX_[149] * vX_[729] + (vX_[215] * vX_[561]) / vX_[193];
+ vX_[137] = -3.44 * vX_[121] + -1 * vX_[137] + (vX_[207] * vX_[561]) / vX_[193];
+ vX_[729] = 3.44 * vX_[22] + vX_[772] * vX_[749] + vX_[129] * vX_[729] + (vX_[191] * vX_[561]) / vX_[193];
+ vX_[749] = vX_[839] * vX_[267];
+ vX_[22] = vX_[243] * vX_[850] + vX_[241] * vX_[267];
+ vX_[121] = vX_[849] * vX_[22];
+ vX_[116] = vX_[241] * vX_[850] + vX_[854] * vX_[267];
+ vX_[951] = 0 - vX_[849] * vX_[116];
+ vX_[216] = 0.1104774 * vX_[121] - 0.0004405 * vX_[951];
+ vX_[331] = 0 - vX_[216];
+ vX_[63] = (- vX_[22]) * x_in[29];
+ vX_[56] = vX_[116] * x_in[29];
+ vX_[50] = -0.881 * (0 - vX_[121]) + 0.414812462825713 * vX_[63] + 0.00185880198235362 * vX_[56] + (0.1104774 * vX_[331]) / 0.026181;
+ vX_[544] = 0.881 * vX_[951] + 0.00185880198235362 * vX_[63] + 0.880992588508842 * vX_[56] + (-0.0004405 * vX_[331]) / 0.026181;
+ vX_[738] = 0 - vX_[839] * vX_[850];
+ vX_[216] = 0.47422804 * vX_[749] + (0.026181 * vX_[331]) / 0.026181 + vX_[216] + vX_[856] * vX_[50] + vX_[246] * vX_[544] - -0.0825825 * vX_[738];
+ vX_[910] = 0 - vX_[216];
+ vX_[944] = (- vX_[267]) * x_in[28];
+ vX_[760] = vX_[850] * x_in[28];
+ vX_[749] = -3.146 * (0 - vX_[749]) + vX_[241] * vX_[50] + vX_[243] * vX_[544] + vX_[298] * vX_[944] + vX_[300] * vX_[760] + (vX_[262] * vX_[910]) / vX_[264];
+ vX_[738] = 3.146 * vX_[738] + vX_[854] * vX_[50] + vX_[241] * vX_[544] + vX_[300] * vX_[944] + vX_[299] * vX_[760] + (vX_[275] * vX_[910]) / vX_[264];
+ vX_[116] = vX_[860] * vX_[116] - vX_[844] * vX_[22];
+ vX_[951] = -8.81e-05 * vX_[951] + -8.81e-05 * vX_[56] - 0.1104774 * vX_[116];
+ vX_[121] = 0.0004405 * vX_[116] + -8.81e-05 * (0 - vX_[121]) + 8.81e-05 * vX_[63];
+ vX_[116] = 0.881 * vX_[116];
+ vX_[22] = vX_[842] * vX_[850] - vX_[838] * vX_[267];
+ vX_[544] = vX_[241] * vX_[951] + vX_[243] * vX_[121] + -0.35 * vX_[116] + vX_[272] * vX_[944] + vX_[278] * vX_[760] + (vX_[271] * vX_[910]) / vX_[264] - 0.47422804 * vX_[22];
+ vX_[121] = -0.0825825 * vX_[22] + vX_[244] * vX_[951] + vX_[241] * vX_[121] + vX_[266] * vX_[944] + vX_[277] * vX_[760] + (vX_[252] * vX_[910]) / vX_[264];
+ vX_[22] = 3.146 * vX_[22] + vX_[116];
+ vX_[116] = 0.1466472 * (0 - vX_[826]) + vX_[287] * vX_[544] + vX_[268] * vX_[121] + 0.08 * vX_[22];
+ vX_[951] = 0 - vX_[116];
+ vX_[216] = -0.5824264 * vX_[827] + (vX_[264] * vX_[910]) / vX_[264] + vX_[216] + vX_[852] * vX_[749] + vX_[289] * vX_[738] + (vX_[350] * vX_[951]) / vX_[314];
+ vX_[121] = -0.5824264 * vX_[826] + vX_[268] * vX_[544] + vX_[240] * vX_[121] + (vX_[309] * vX_[951]) / vX_[314];
+ vX_[544] = vX_[850] * vX_[749] + vX_[267] * vX_[738] + (vX_[335] * vX_[951]) / vX_[314];
+ vX_[22] = -3.44 * vX_[826] + vX_[22] + (vX_[327] * vX_[951]) / vX_[314];
+ vX_[738] = 3.44 * vX_[827] + vX_[851] * vX_[749] + vX_[240] * vX_[738] + (vX_[312] * vX_[951]) / vX_[314];
+ vX_[749] = vX_[601] * -1;
+ vX_[50] = vX_[388] * -1;
+ vX_[759] = vX_[602] * vX_[50];
+ vX_[49] = vX_[361] * -1;
+ vX_[717] = vX_[364] * vX_[49] + vX_[362] * vX_[50];
+ vX_[817] = vX_[624] * vX_[717];
+ vX_[8] = (- vX_[717]) * x_in[26];
+ vX_[25] = vX_[362] * vX_[49] + vX_[636] * vX_[50];
+ vX_[47] = vX_[25] * x_in[26];
+ vX_[59] = 0 - vX_[624] * vX_[25];
+ vX_[746] = 0.1104774 * vX_[817] - 0.0004405 * vX_[59];
+ vX_[753] = 0 - vX_[746];
+ vX_[752] = -0.881 * (0 - vX_[817]) + 0.414812462825713 * vX_[8] + 0.00185880198235362 * vX_[47] + (0.1104774 * vX_[753]) / 0.026181;
+ vX_[98] = 0.881 * vX_[59] + 0.00185880198235362 * vX_[8] + 0.880992588508842 * vX_[47] + (-0.0004405 * vX_[753]) / 0.026181;
+ vX_[545] = (- vX_[50]) * x_in[25];
+ vX_[104] = vX_[49] * x_in[25];
+ vX_[26] = 0 - vX_[602] * vX_[49];
+ vX_[746] = 0.47422804 * vX_[759] + (0.026181 * vX_[753]) / 0.026181 + vX_[746] + vX_[637] * vX_[752] + vX_[367] * vX_[98] - -0.0825825 * vX_[26];
+ vX_[72] = 0 - vX_[746];
+ vX_[759] = -3.146 * (0 - vX_[759]) + vX_[362] * vX_[752] + vX_[364] * vX_[98] + vX_[419] * vX_[545] + vX_[421] * vX_[104] + (vX_[383] * vX_[72]) / vX_[385];
+ vX_[26] = 3.146 * vX_[26] + vX_[636] * vX_[752] + vX_[362] * vX_[98] + vX_[421] * vX_[545] + vX_[420] * vX_[104] + (vX_[396] * vX_[72]) / vX_[385];
+ vX_[98] = vX_[588] * -1;
+ vX_[25] = vX_[619] * vX_[25] - vX_[632] * vX_[717];
+ vX_[59] = -8.81e-05 * vX_[59] + -8.81e-05 * vX_[47] - 0.1104774 * vX_[25];
+ vX_[817] = 0.0004405 * vX_[25] + -8.81e-05 * (0 - vX_[817]) + 8.81e-05 * vX_[8];
+ vX_[25] = 0.881 * vX_[25];
+ vX_[49] = vX_[593] * vX_[49] - vX_[617] * vX_[50];
+ vX_[50] = vX_[362] * vX_[59] + vX_[364] * vX_[817] + -0.35 * vX_[25] + vX_[393] * vX_[545] + vX_[399] * vX_[104] + (vX_[392] * vX_[72]) / vX_[385] - 0.47422804 * vX_[49];
+ vX_[817] = -0.0825825 * vX_[49] + vX_[365] * vX_[59] + vX_[362] * vX_[817] + vX_[387] * vX_[545] + vX_[398] * vX_[104] + (vX_[373] * vX_[72]) / vX_[385];
+ vX_[49] = 3.146 * vX_[49] + vX_[25];
+ vX_[25] = 0.1466472 * (0 - vX_[98]) + vX_[361] * vX_[50] + vX_[388] * vX_[817] + -0.08 * vX_[49];
+ vX_[59] = 0 - vX_[25];
+ vX_[746] = 0.5824264 * vX_[749] + vX_[592] * vX_[759] + vX_[409] * vX_[26] + -1 * (vX_[746] + (vX_[385] * vX_[72]) / vX_[385]) + (vX_[472] * vX_[59]) / vX_[435];
+ vX_[817] = 0.5824264 * vX_[98] + vX_[389] * vX_[50] + vX_[361] * vX_[817] + (vX_[430] * vX_[59]) / vX_[435];
+ vX_[50] = vX_[361] * vX_[759] + vX_[388] * vX_[26] + (vX_[457] * vX_[59]) / vX_[435];
+ vX_[49] = -3.44 * vX_[98] + -1 * vX_[49] + (vX_[449] * vX_[59]) / vX_[435];
+ vX_[26] = 3.44 * vX_[749] + vX_[625] * vX_[759] + vX_[361] * vX_[26] + (vX_[433] * vX_[59]) / vX_[435];
+ vX_[759] = 0 - x_in[19];
+ vX_[25] = (-0.0053433 * vX_[759] + 2.0678571 * (0 - x_in[20]) + (vX_[82] * vX_[751]) / vX_[82] + vX_[795] + vX_[703] * vX_[233] + vX_[85] * vX_[534] + vX_[701] * vX_[137] + vX_[196] * vX_[729] + -1 * (vX_[74] + (vX_[193] * vX_[561]) / vX_[193]) + (vX_[314] * vX_[951]) / vX_[314] + vX_[116] + vX_[845] * vX_[22] + vX_[317] * vX_[738] + vX_[596] * vX_[49] + vX_[438] * vX_[26] + -1 * (vX_[25] + (vX_[435] * vX_[59]) / vX_[435])) / vX_[573];
+ vX_[116] = (vX_[24] * vX_[755] + vX_[86] * vX_[744] + vX_[87] * vX_[233] + vX_[608] * vX_[534] + vX_[128] * vX_[747] + vX_[199] * vX_[491] + vX_[200] * vX_[137] + vX_[763] * vX_[729] + vX_[239] * vX_[216] + vX_[318] * vX_[121] + vX_[319] * vX_[22] + vX_[831] * vX_[738] + vX_[360] * vX_[746] + vX_[441] * vX_[817] + vX_[442] * vX_[49] + vX_[611] * vX_[26] - -1.1915559 * vX_[759] - vX_[689] * vX_[25]) / vX_[570];
+ vX_[817] = (-1.1915559 * x_in[20] + vX_[86] * vX_[755] + vX_[88] * vX_[744] + 0.207 * vX_[110] + vX_[89] * vX_[233] + vX_[649] * vX_[534] + vX_[198] * vX_[747] + vX_[128] * vX_[491] + 0.207 * vX_[682] + vX_[201] * vX_[137] + vX_[762] * vX_[729] + vX_[318] * vX_[216] + vX_[320] * vX_[121] + 0.207 * vX_[544] + vX_[321] * vX_[22] + vX_[830] * vX_[738] + vX_[440] * vX_[746] + vX_[360] * vX_[817] + 0.207 * vX_[50] + vX_[443] * vX_[49] + vX_[610] * vX_[26] - vX_[687] * vX_[116] - vX_[480] * vX_[25]) / vX_[572];
+ vX_[50] = (vX_[110] + -1 * vX_[682] + vX_[544] + -1 * vX_[50] - vX_[932] * vX_[116] - vX_[949] * vX_[25] - vX_[946] * vX_[817]) / vX_[976];
+ vX_[544] = (-53.433 * (0 - x_in[20]) + vX_[24] * vX_[233] + vX_[86] * vX_[534] + vX_[127] * vX_[137] + vX_[765] * vX_[729] + vX_[239] * vX_[22] + vX_[318] * vX_[738] + vX_[597] * vX_[49] + vX_[612] * vX_[26] - vX_[913] * vX_[116] - vX_[933] * vX_[25] - vX_[722] * vX_[817] - vX_[948] * vX_[50]) / vX_[973];
+ vX_[759] = (53.433 * vX_[759] + vX_[86] * vX_[233] + vX_[616] * vX_[534] + vX_[198] * vX_[137] + vX_[764] * vX_[729] + vX_[318] * vX_[22] + vX_[832] * vX_[738] + vX_[440] * vX_[49] + vX_[359] * vX_[26] - vX_[977] * vX_[116] - vX_[945] * vX_[25] - vX_[474] * vX_[817] - vX_[984] * vX_[50] - vX_[955] * vX_[544]) / vX_[975];
+ jac[779] = - vX_[759];
+ vX_[544] = vX_[544] - vX_[986] * vX_[759];
+ jac[778] = - vX_[544];
+ vX_[50] = vX_[50] - vX_[985] * vX_[759] - vX_[919] * vX_[544];
+ jac[777] = - vX_[50];
+ vX_[817] = vX_[817] - vX_[936] * vX_[544] - vX_[947] * vX_[50] - vX_[980] * vX_[759];
+ jac[776] = - vX_[817];
+ vX_[116] = vX_[116] - vX_[938] * vX_[50] - vX_[586] * vX_[817] - vX_[935] * vX_[544] - vX_[979] * vX_[759];
+ jac[774] = vX_[574] * vX_[817] + vX_[688] * vX_[116] + vX_[937] * vX_[50] + vX_[934] * vX_[544] + vX_[978] * vX_[759] - vX_[25];
+ jac[775] = - vX_[116];
+ vX_[116] = -1 * jac[774];
+ vX_[817] = vX_[440] * jac[776] + vX_[360] * jac[775];
+ vX_[50] = vX_[360] * jac[776] + vX_[441] * jac[775];
+ vX_[544] = -1 * jac[777];
+ vX_[759] = 0.207 * jac[776] + vX_[544];
+ vX_[25] = vX_[610] * jac[776] + vX_[611] * jac[775] + vX_[438] * jac[774] + vX_[359] * jac[779] + vX_[612] * jac[778];
+ jac[780] = (vX_[59] - vX_[435] * vX_[116] - vX_[472] * vX_[817] - vX_[430] * vX_[50] - vX_[457] * vX_[759] - vX_[449] * (vX_[443] * jac[776] + vX_[442] * jac[775] + vX_[596] * jac[774] + vX_[440] * jac[779] + vX_[597] * jac[778]) - vX_[433] * vX_[25]) / vX_[435];
+ vX_[59] = -1 * vX_[817];
+ vX_[26] = vX_[116] + jac[780];
+ vX_[545] = vX_[361] * vX_[759] + vX_[625] * vX_[25] + vX_[592] * vX_[817] + vX_[545];
+ vX_[25] = vX_[388] * vX_[759] + vX_[361] * vX_[25] + vX_[409] * vX_[817] + vX_[104];
+ jac[781] = (vX_[72] - vX_[385] * vX_[59] - vX_[392] * (vX_[361] * vX_[26] + vX_[389] * vX_[50]) - vX_[373] * (vX_[388] * vX_[26] + vX_[361] * vX_[50]) - vX_[383] * vX_[545] - vX_[396] * vX_[25]) / vX_[385];
+ vX_[59] = vX_[59] + jac[781];
+ jac[782] = (vX_[753] - 0.1104774 * (vX_[362] * vX_[545] + vX_[636] * vX_[25] + vX_[637] * vX_[59] + vX_[8]) - -0.0004405 * (vX_[364] * vX_[545] + vX_[362] * vX_[25] + vX_[367] * vX_[59] + vX_[47]) - 0.026181 * vX_[59]) / 0.026181;
+ vX_[59] = vX_[318] * jac[776] + vX_[239] * jac[775];
+ vX_[25] = vX_[320] * jac[776] + vX_[318] * jac[775];
+ vX_[545] = 0.207 * jac[776] + jac[777];
+ vX_[753] = vX_[830] * jac[776] + vX_[831] * jac[775] + vX_[317] * jac[774] + vX_[832] * jac[779] + vX_[318] * jac[778];
+ jac[783] = (vX_[951] - vX_[314] * jac[774] - vX_[350] * vX_[59] - vX_[309] * vX_[25] - vX_[335] * vX_[545] - vX_[327] * (vX_[321] * jac[776] + vX_[319] * jac[775] + vX_[845] * jac[774] + vX_[318] * jac[779] + vX_[239] * jac[778]) - vX_[312] * vX_[753]) / vX_[314];
+ vX_[951] = jac[774] + jac[783];
+ vX_[944] = vX_[850] * vX_[545] + vX_[851] * vX_[753] + vX_[852] * vX_[59] + vX_[944];
+ vX_[753] = vX_[267] * vX_[545] + vX_[240] * vX_[753] + vX_[289] * vX_[59] + vX_[760];
+ jac[784] = (vX_[910] - vX_[264] * vX_[59] - vX_[271] * (vX_[287] * vX_[951] + vX_[268] * vX_[25]) - vX_[252] * (vX_[268] * vX_[951] + vX_[240] * vX_[25]) - vX_[262] * vX_[944] - vX_[275] * vX_[753]) / vX_[264];
+ vX_[59] = vX_[59] + jac[784];
+ jac[785] = (vX_[331] - 0.1104774 * (vX_[241] * vX_[944] + vX_[854] * vX_[753] + vX_[856] * vX_[59] + vX_[63]) - -0.0004405 * (vX_[243] * vX_[944] + vX_[241] * vX_[753] + vX_[246] * vX_[59] + vX_[56]) - 0.026181 * vX_[59]) / 0.026181;
+ vX_[59] = vX_[198] * jac[776] + vX_[128] * jac[775];
+ vX_[753] = vX_[128] * jac[776] + vX_[199] * jac[775];
+ vX_[544] = 0.207 * jac[776] + vX_[544];
+ vX_[944] = vX_[762] * jac[776] + vX_[763] * jac[775] + vX_[196] * jac[774] + vX_[764] * jac[779] + vX_[765] * jac[778];
+ jac[786] = (vX_[561] - vX_[193] * vX_[116] - vX_[230] * vX_[59] - vX_[188] * vX_[753] - vX_[215] * vX_[544] - vX_[207] * (vX_[201] * jac[776] + vX_[200] * jac[775] + vX_[701] * jac[774] + vX_[198] * jac[779] + vX_[127] * jac[778]) - vX_[191] * vX_[944]) / vX_[193];
+ vX_[561] = -1 * vX_[59];
+ vX_[116] = vX_[116] + jac[786];
+ vX_[93] = vX_[129] * vX_[544] + vX_[772] * vX_[944] + vX_[773] * vX_[59] + vX_[93];
+ vX_[944] = vX_[149] * vX_[544] + vX_[129] * vX_[944] + vX_[167] * vX_[59] + vX_[726];
+ jac[787] = (vX_[90] - vX_[146] * vX_[561] - 2.1e-05 * (vX_[129] * vX_[116] + vX_[150] * vX_[753]) - -0.000102 * (vX_[149] * vX_[116] + vX_[129] * vX_[753]) - vX_[144] * vX_[93] - vX_[154] * vX_[944]) / vX_[146];
+ vX_[561] = vX_[561] + jac[787];
+ jac[788] = (vX_[16] - 0.110125 * (vX_[132] * vX_[93] + vX_[782] * vX_[944] + vX_[783] * vX_[561] + vX_[41]) - 0.000881 * (vX_[130] * vX_[93] + vX_[132] * vX_[944] + vX_[131] * vX_[561] + vX_[107]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[561] = vX_[86] * jac[776] + vX_[24] * jac[775];
+ vX_[944] = vX_[88] * jac[776] + vX_[86] * jac[775];
+ vX_[93] = 0.207 * jac[776] + jac[777];
+ vX_[16] = vX_[649] * jac[776] + vX_[608] * jac[775] + vX_[85] * jac[774] + vX_[616] * jac[779] + vX_[86] * jac[778];
+ jac[789] = (vX_[751] - vX_[82] * jac[774] - vX_[118] * vX_[561] - vX_[77] * vX_[944] - vX_[103] * vX_[93] - vX_[95] * (vX_[89] * jac[776] + vX_[87] * jac[775] + vX_[703] * jac[774] + vX_[86] * jac[779] + vX_[24] * jac[778]) - vX_[80] * vX_[16]) / vX_[82];
+ vX_[751] = jac[774] + jac[789];
+ vX_[532] = vX_[708] * vX_[93] + vX_[709] * vX_[16] + vX_[710] * vX_[561] + vX_[532];
+ vX_[16] = vX_[10] * vX_[93] + vX_[33] * vX_[16] + vX_[57] * vX_[561] + vX_[96];
+ jac[790] = (vX_[70] - vX_[17] * vX_[561] - vX_[6] * (vX_[55] * vX_[751] + vX_[38] * vX_[944]) - vX_[23] * (vX_[38] * vX_[751] + vX_[33] * vX_[944]) - vX_[15] * vX_[532] - vX_[43] * vX_[16]) / vX_[17];
+ vX_[561] = vX_[561] + jac[790];
+ jac[791] = (vX_[727] - 0.1104774 * (vX_[20] * vX_[532] + vX_[712] * vX_[16] + vX_[714] * vX_[561] + vX_[83]) - 0.0004405 * (vX_[37] * vX_[532] + vX_[20] * vX_[16] + vX_[34] * vX_[561] + vX_[482]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[19] = vX_[18] * vX_[19];
+ jac[796] = 1 - vX_[11] - vX_[19];
+ jac[833] = 1 - vX_[733] - vX_[19];
+ vX_[21] = vX_[12] * vX_[21];
+ vX_[18] = vX_[18] * vX_[0];
+ jac[797] = vX_[21] + vX_[18];
+ jac[832] = vX_[21] - vX_[18];
+ vX_[18] = 0 - vX_[640] * vX_[24];
+ vX_[21] = vX_[33] * vX_[86];
+ vX_[0] = vX_[697] * vX_[21];
+ vX_[12] = vX_[700] * vX_[24];
+ vX_[19] = vX_[709] * vX_[86];
+ vX_[733] = vX_[37] * vX_[19] + vX_[20] * vX_[21];
+ vX_[11] = vX_[707] * vX_[733];
+ vX_[561] = vX_[718] * vX_[24];
+ vX_[16] = vX_[20] * vX_[19] + vX_[712] * vX_[21];
+ vX_[532] = vX_[702] * vX_[24] - vX_[707] * vX_[16];
+ vX_[482] = 0.1104774 * (vX_[11] - vX_[561]) - -0.0004405 * vX_[532];
+ vX_[83] = 0 - vX_[482];
+ vX_[727] = (- vX_[733]) * x_in[35];
+ vX_[751] = vX_[16] * x_in[35];
+ vX_[944] = -0.881 * (vX_[561] - vX_[11]) + 0.414812462825713 * vX_[727] + -0.00185880198235362 * vX_[751] + (0.1104774 * vX_[83]) / 0.026181;
+ vX_[70] = 0.881 * vX_[532] + -0.00185880198235362 * vX_[727] + 0.880992588508842 * vX_[751] + (0.0004405 * vX_[83]) / 0.026181;
+ vX_[93] = vX_[696] * vX_[24] - vX_[697] * vX_[19];
+ vX_[482] = 0.47422804 * (vX_[0] - vX_[12]) + (0.026181 * vX_[83]) / 0.026181 + vX_[482] + vX_[714] * vX_[944] + vX_[34] * vX_[70] - 0.0825825 * vX_[93];
+ vX_[96] = 0 - vX_[482];
+ vX_[107] = (- vX_[21]) * x_in[34];
+ vX_[41] = vX_[19] * x_in[34];
+ vX_[12] = -3.146 * (vX_[12] - vX_[0]) + vX_[20] * vX_[944] + vX_[37] * vX_[70] + vX_[66] * vX_[107] + vX_[68] * vX_[41] + (vX_[15] * vX_[96]) / vX_[17];
+ vX_[93] = 3.146 * vX_[93] + vX_[712] * vX_[944] + vX_[20] * vX_[70] + vX_[68] * vX_[107] + vX_[67] * vX_[41] + (vX_[43] * vX_[96]) / vX_[17];
+ vX_[70] = (- vX_[86]) * x_in[33];
+ vX_[944] = vX_[24] * x_in[33];
+ vX_[0] = vX_[640] * vX_[86];
+ vX_[16] = vX_[718] * vX_[16] - vX_[702] * vX_[733];
+ vX_[532] = 8.81e-05 * vX_[532] + 8.81e-05 * vX_[751] - 0.1104774 * vX_[16];
+ vX_[561] = -0.0004405 * vX_[16] + 8.81e-05 * (vX_[561] - vX_[11]) + -8.81e-05 * vX_[727];
+ vX_[16] = 0.881 * vX_[16];
+ vX_[19] = vX_[700] * vX_[19] - vX_[696] * vX_[21];
+ vX_[21] = vX_[20] * vX_[532] + vX_[37] * vX_[561] + -0.35 * vX_[16] + vX_[31] * vX_[107] + vX_[46] * vX_[41] + (vX_[6] * vX_[96]) / vX_[17] - 0.47422804 * vX_[19];
+ vX_[561] = 0.0825825 * vX_[19] + vX_[36] * vX_[532] + vX_[20] * vX_[561] + vX_[13] * vX_[107] + vX_[45] * vX_[41] + (vX_[23] * vX_[96]) / vX_[17];
+ vX_[19] = 3.146 * vX_[19] + vX_[16];
+ vX_[16] = 0.1466472 * vX_[0] + vX_[55] * vX_[21] + vX_[38] * vX_[561] + 0.08 * vX_[19];
+ vX_[532] = 0 - vX_[16];
+ vX_[11] = vX_[659] * vX_[24] - vX_[587] * vX_[86];
+ vX_[482] = 0.5824264 * vX_[18] + (vX_[17] * vX_[96]) / vX_[17] + vX_[482] + vX_[710] * vX_[12] + vX_[57] * vX_[93] + vX_[119] * vX_[70] + vX_[108] * vX_[944] + (vX_[118] * vX_[532]) / vX_[82] - 0.1466472 * vX_[11];
+ vX_[561] = 0.5824264 * (0 - vX_[0]) + vX_[38] * vX_[21] + vX_[33] * vX_[561] + vX_[109] * vX_[70] + vX_[84] * vX_[944] + (vX_[77] * vX_[532]) / vX_[82];
+ vX_[11] = 3.44 * vX_[11] + vX_[708] * vX_[12] + vX_[10] * vX_[93] + vX_[112] * vX_[70] + vX_[105] * vX_[944] + (vX_[103] * vX_[532]) / vX_[82];
+ vX_[19] = -3.44 * (0 - vX_[0]) + vX_[19] + vX_[111] * vX_[70] + vX_[97] * vX_[944] + (vX_[95] * vX_[532]) / vX_[82];
+ vX_[93] = 3.44 * vX_[18] + vX_[709] * vX_[12] + vX_[33] * vX_[93] + vX_[97] * vX_[70] + vX_[123] * vX_[944] + (vX_[80] * vX_[532]) / vX_[82];
+ vX_[12] = 0 - vX_[761] * vX_[127];
+ vX_[18] = -1 * vX_[127];
+ vX_[0] = vX_[769] * vX_[18];
+ vX_[21] = vX_[129] * vX_[765];
+ vX_[733] = vX_[770] * vX_[21];
+ vX_[116] = vX_[779] * vX_[18];
+ vX_[753] = vX_[772] * vX_[765];
+ vX_[90] = vX_[130] * vX_[753] + vX_[132] * vX_[21];
+ vX_[544] = vX_[780] * vX_[90];
+ vX_[59] = (- vX_[90]) * x_in[32];
+ vX_[726] = vX_[132] * vX_[753] + vX_[782] * vX_[21];
+ vX_[56] = vX_[726] * x_in[32];
+ vX_[63] = vX_[785] * vX_[18] - vX_[780] * vX_[726];
+ vX_[331] = 0.110125 * (vX_[544] - vX_[116]) - -0.000881 * vX_[63];
+ vX_[951] = 0 - vX_[331];
+ vX_[544] = -0.881 * (vX_[116] - vX_[544]) + 0.417781802643138 * vX_[59] + -0.00370574557885489 * vX_[56] + (0.110125 * vX_[951]) / 0.026181;
+ vX_[63] = 0.881 * vX_[63] + -0.00370574557885489 * vX_[59] + 0.880970354035369 * vX_[56] + (0.000881 * vX_[951]) / 0.026181;
+ vX_[116] = (- vX_[21]) * x_in[31];
+ vX_[25] = vX_[753] * x_in[31];
+ vX_[18] = vX_[775] * vX_[18] - vX_[770] * vX_[753];
+ vX_[331] = 0.47422804 * (vX_[733] - vX_[0]) + (0.026181 * vX_[951]) / 0.026181 + vX_[331] + vX_[783] * vX_[544] + vX_[131] * vX_[63] - 0.0825825 * vX_[18];
+ vX_[910] = 0 - vX_[331];
+ vX_[733] = -3.146 * (vX_[0] - vX_[733]) + vX_[132] * vX_[544] + vX_[130] * vX_[63] + vX_[177] * vX_[116] + vX_[179] * vX_[25] + (vX_[144] * vX_[910]) / vX_[146];
+ vX_[18] = 3.146 * vX_[18] + vX_[782] * vX_[544] + vX_[132] * vX_[63] + vX_[179] * vX_[116] + vX_[178] * vX_[25] + (vX_[154] * vX_[910]) / vX_[146];
+ vX_[63] = (- vX_[765]) * x_in[30];
+ vX_[544] = vX_[127] * x_in[30];
+ vX_[0] = vX_[761] * vX_[765];
+ vX_[726] = vX_[779] * vX_[726] - vX_[785] * vX_[90];
+ vX_[90] = 0 - 0.110125 * vX_[726];
+ vX_[545] = -0.000881 * vX_[726];
+ vX_[726] = 0.881 * vX_[726];
+ vX_[753] = vX_[769] * vX_[753] - vX_[775] * vX_[21];
+ vX_[21] = vX_[132] * vX_[90] + vX_[130] * vX_[545] + -0.35 * vX_[726] + vX_[151] * vX_[116] + vX_[157] * vX_[25] + (2.1e-05 * vX_[910]) / vX_[146] - 0.47422804 * vX_[753];
+ vX_[545] = 0.0825825 * vX_[753] + vX_[142] * vX_[90] + vX_[132] * vX_[545] + vX_[148] * vX_[116] + vX_[156] * vX_[25] + (-0.000102 * vX_[910]) / vX_[146];
+ vX_[753] = 3.146 * vX_[753] + vX_[726];
+ vX_[726] = 0.1466472 * vX_[0] + vX_[129] * vX_[21] + vX_[149] * vX_[545] + -0.08 * vX_[753];
+ vX_[90] = 0 - vX_[726];
+ vX_[760] = vX_[756] * vX_[127] - vX_[757] * vX_[765];
+ vX_[331] = -0.5824264 * vX_[12] + vX_[773] * vX_[733] + vX_[167] * vX_[18] + -1 * (vX_[331] + (vX_[146] * vX_[910]) / vX_[146]) + vX_[231] * vX_[63] + vX_[220] * vX_[544] + (vX_[230] * vX_[90]) / vX_[193] - 0.1466472 * vX_[760];
+ vX_[545] = -0.5824264 * (0 - vX_[0]) + vX_[150] * vX_[21] + vX_[129] * vX_[545] + vX_[221] * vX_[63] + vX_[195] * vX_[544] + (vX_[188] * vX_[90]) / vX_[193];
+ vX_[760] = 3.44 * vX_[760] + vX_[129] * vX_[733] + vX_[149] * vX_[18] + vX_[224] * vX_[63] + vX_[217] * vX_[544] + (vX_[215] * vX_[90]) / vX_[193];
+ vX_[753] = -3.44 * (0 - vX_[0]) + -1 * vX_[753] + vX_[223] * vX_[63] + vX_[209] * vX_[544] + (vX_[207] * vX_[90]) / vX_[193];
+ vX_[18] = 3.44 * vX_[12] + vX_[772] * vX_[733] + vX_[129] * vX_[18] + vX_[209] * vX_[63] + vX_[235] * vX_[544] + (vX_[191] * vX_[90]) / vX_[193];
+ vX_[733] = 0 - vX_[829] * vX_[239];
+ vX_[12] = vX_[240] * vX_[318];
+ vX_[0] = vX_[839] * vX_[12];
+ vX_[21] = vX_[842] * vX_[239];
+ vX_[47] = vX_[851] * vX_[318];
+ vX_[8] = vX_[243] * vX_[47] + vX_[241] * vX_[12];
+ vX_[26] = vX_[849] * vX_[8];
+ vX_[50] = vX_[860] * vX_[239];
+ vX_[72] = vX_[241] * vX_[47] + vX_[854] * vX_[12];
+ vX_[759] = vX_[844] * vX_[239] - vX_[849] * vX_[72];
+ vX_[817] = 0.1104774 * (vX_[26] - vX_[50]) - 0.0004405 * vX_[759];
+ vX_[104] = 0 - vX_[817];
+ vX_[49] = (- vX_[8]) * x_in[29];
+ vX_[738] = vX_[72] * x_in[29];
+ vX_[22] = -0.881 * (vX_[50] - vX_[26]) + 0.414812462825713 * vX_[49] + 0.00185880198235362 * vX_[738] + (0.1104774 * vX_[104]) / 0.026181;
+ vX_[729] = 0.881 * vX_[759] + 0.00185880198235362 * vX_[49] + 0.880992588508842 * vX_[738] + (-0.0004405 * vX_[104]) / 0.026181;
+ vX_[137] = vX_[838] * vX_[239] - vX_[839] * vX_[47];
+ vX_[817] = 0.47422804 * (vX_[0] - vX_[21]) + (0.026181 * vX_[104]) / 0.026181 + vX_[817] + vX_[856] * vX_[22] + vX_[246] * vX_[729] - -0.0825825 * vX_[137];
+ vX_[534] = 0 - vX_[817];
+ vX_[233] = (- vX_[12]) * x_in[28];
+ vX_[682] = vX_[47] * x_in[28];
+ vX_[21] = -3.146 * (vX_[21] - vX_[0]) + vX_[241] * vX_[22] + vX_[243] * vX_[729] + vX_[298] * vX_[233] + vX_[300] * vX_[682] + (vX_[262] * vX_[534]) / vX_[264];
+ vX_[137] = 3.146 * vX_[137] + vX_[854] * vX_[22] + vX_[241] * vX_[729] + vX_[300] * vX_[233] + vX_[299] * vX_[682] + (vX_[275] * vX_[534]) / vX_[264];
+ vX_[729] = (- vX_[318]) * x_in[27];
+ vX_[22] = vX_[239] * x_in[27];
+ vX_[0] = vX_[829] * vX_[318];
+ vX_[72] = vX_[860] * vX_[72] - vX_[844] * vX_[8];
+ vX_[759] = -8.81e-05 * vX_[759] + -8.81e-05 * vX_[738] - 0.1104774 * vX_[72];
+ vX_[50] = 0.0004405 * vX_[72] + -8.81e-05 * (vX_[50] - vX_[26]) + 8.81e-05 * vX_[49];
+ vX_[72] = 0.881 * vX_[72];
+ vX_[47] = vX_[842] * vX_[47] - vX_[838] * vX_[12];
+ vX_[12] = vX_[241] * vX_[759] + vX_[243] * vX_[50] + -0.35 * vX_[72] + vX_[272] * vX_[233] + vX_[278] * vX_[682] + (vX_[271] * vX_[534]) / vX_[264] - 0.47422804 * vX_[47];
+ vX_[50] = -0.0825825 * vX_[47] + vX_[244] * vX_[759] + vX_[241] * vX_[50] + vX_[266] * vX_[233] + vX_[277] * vX_[682] + (vX_[252] * vX_[534]) / vX_[264];
+ vX_[47] = 3.146 * vX_[47] + vX_[72];
+ vX_[72] = 0.1466472 * vX_[0] + vX_[287] * vX_[12] + vX_[268] * vX_[50] + 0.08 * vX_[47];
+ vX_[759] = 0 - vX_[72];
+ vX_[26] = vX_[826] * vX_[239] - vX_[827] * vX_[318];
+ vX_[817] = -0.5824264 * vX_[733] + (vX_[264] * vX_[534]) / vX_[264] + vX_[817] + vX_[852] * vX_[21] + vX_[289] * vX_[137] + vX_[351] * vX_[729] + vX_[340] * vX_[22] + (vX_[350] * vX_[759]) / vX_[314] - 0.1466472 * vX_[26];
+ vX_[50] = -0.5824264 * (0 - vX_[0]) + vX_[268] * vX_[12] + vX_[240] * vX_[50] + vX_[341] * vX_[729] + vX_[316] * vX_[22] + (vX_[309] * vX_[759]) / vX_[314];
+ vX_[26] = 3.44 * vX_[26] + vX_[850] * vX_[21] + vX_[267] * vX_[137] + vX_[344] * vX_[729] + vX_[337] * vX_[22] + (vX_[335] * vX_[759]) / vX_[314];
+ vX_[47] = -3.44 * (0 - vX_[0]) + vX_[47] + vX_[343] * vX_[729] + vX_[329] * vX_[22] + (vX_[327] * vX_[759]) / vX_[314];
+ vX_[137] = 3.44 * vX_[733] + vX_[851] * vX_[21] + vX_[240] * vX_[137] + vX_[329] * vX_[729] + vX_[355] * vX_[22] + (vX_[312] * vX_[759]) / vX_[314];
+ vX_[21] = 0 - vX_[580] * vX_[597];
+ vX_[733] = -1 * vX_[597];
+ vX_[0] = vX_[593] * vX_[733];
+ vX_[12] = vX_[361] * vX_[612];
+ vX_[8] = vX_[602] * vX_[12];
+ vX_[110] = vX_[619] * vX_[733];
+ vX_[746] = vX_[625] * vX_[612];
+ vX_[121] = vX_[364] * vX_[746] + vX_[362] * vX_[12];
+ vX_[216] = vX_[624] * vX_[121];
+ vX_[491] = (- vX_[121]) * x_in[26];
+ vX_[747] = vX_[362] * vX_[746] + vX_[636] * vX_[12];
+ vX_[744] = vX_[747] * x_in[26];
+ vX_[755] = vX_[632] * vX_[733] - vX_[624] * vX_[747];
+ vX_[74] = 0.1104774 * (vX_[216] - vX_[110]) - 0.0004405 * vX_[755];
+ vX_[795] = 0 - vX_[74];
+ vX_[749] = -0.881 * (vX_[110] - vX_[216]) + 0.414812462825713 * vX_[491] + 0.00185880198235362 * vX_[744] + (0.1104774 * vX_[795]) / 0.026181;
+ vX_[98] = 0.881 * vX_[755] + 0.00185880198235362 * vX_[491] + 0.880992588508842 * vX_[744] + (-0.0004405 * vX_[795]) / 0.026181;
+ vX_[717] = (- vX_[12]) * x_in[25];
+ vX_[752] = vX_[746] * x_in[25];
+ vX_[733] = vX_[617] * vX_[733] - vX_[602] * vX_[746];
+ vX_[74] = 0.47422804 * (vX_[8] - vX_[0]) + (0.026181 * vX_[795]) / 0.026181 + vX_[74] + vX_[637] * vX_[749] + vX_[367] * vX_[98] - -0.0825825 * vX_[733];
+ vX_[52] = 0 - vX_[74];
+ vX_[8] = -3.146 * (vX_[0] - vX_[8]) + vX_[362] * vX_[749] + vX_[364] * vX_[98] + vX_[419] * vX_[717] + vX_[421] * vX_[752] + (vX_[383] * vX_[52]) / vX_[385];
+ vX_[733] = 3.146 * vX_[733] + vX_[636] * vX_[749] + vX_[362] * vX_[98] + vX_[421] * vX_[717] + vX_[420] * vX_[752] + (vX_[396] * vX_[52]) / vX_[385];
+ vX_[98] = (- vX_[612]) * x_in[24];
+ vX_[749] = vX_[597] * x_in[24];
+ vX_[0] = vX_[580] * vX_[612];
+ vX_[747] = vX_[619] * vX_[747] - vX_[632] * vX_[121];
+ vX_[755] = -8.81e-05 * vX_[755] + -8.81e-05 * vX_[744] - 0.1104774 * vX_[747];
+ vX_[216] = 0.0004405 * vX_[747] + -8.81e-05 * (vX_[110] - vX_[216]) + 8.81e-05 * vX_[491];
+ vX_[747] = 0.881 * vX_[747];
+ vX_[746] = vX_[593] * vX_[746] - vX_[617] * vX_[12];
+ vX_[12] = vX_[362] * vX_[755] + vX_[364] * vX_[216] + -0.35 * vX_[747] + vX_[393] * vX_[717] + vX_[399] * vX_[752] + (vX_[392] * vX_[52]) / vX_[385] - 0.47422804 * vX_[746];
+ vX_[216] = -0.0825825 * vX_[746] + vX_[365] * vX_[755] + vX_[362] * vX_[216] + vX_[387] * vX_[717] + vX_[398] * vX_[752] + (vX_[373] * vX_[52]) / vX_[385];
+ vX_[746] = 3.146 * vX_[746] + vX_[747];
+ vX_[747] = 0.1466472 * vX_[0] + vX_[361] * vX_[12] + vX_[388] * vX_[216] + -0.08 * vX_[746];
+ vX_[755] = 0 - vX_[747];
+ vX_[110] = vX_[588] * vX_[597] - vX_[601] * vX_[612];
+ vX_[74] = 0.5824264 * vX_[21] + vX_[592] * vX_[8] + vX_[409] * vX_[733] + -1 * (vX_[74] + (vX_[385] * vX_[52]) / vX_[385]) + vX_[473] * vX_[98] + vX_[462] * vX_[749] + (vX_[472] * vX_[755]) / vX_[435] - 0.1466472 * vX_[110];
+ vX_[216] = 0.5824264 * (0 - vX_[0]) + vX_[389] * vX_[12] + vX_[361] * vX_[216] + vX_[463] * vX_[98] + vX_[437] * vX_[749] + (vX_[430] * vX_[755]) / vX_[435];
+ vX_[110] = 3.44 * vX_[110] + vX_[361] * vX_[8] + vX_[388] * vX_[733] + vX_[466] * vX_[98] + vX_[459] * vX_[749] + (vX_[457] * vX_[755]) / vX_[435];
+ vX_[746] = -3.44 * (0 - vX_[0]) + -1 * vX_[746] + vX_[465] * vX_[98] + vX_[451] * vX_[749] + (vX_[449] * vX_[755]) / vX_[435];
+ vX_[733] = 3.44 * vX_[21] + vX_[625] * vX_[8] + vX_[361] * vX_[733] + vX_[451] * vX_[98] + vX_[477] * vX_[749] + (vX_[433] * vX_[755]) / vX_[435];
+ vX_[8] = 0 - x_in[20];
+ vX_[747] = (-0.0053433 * x_in[18] + (vX_[82] * vX_[532]) / vX_[82] + vX_[16] + vX_[703] * vX_[19] + vX_[85] * vX_[93] + vX_[701] * vX_[753] + vX_[196] * vX_[18] + -1 * (vX_[726] + (vX_[193] * vX_[90]) / vX_[193]) + (vX_[314] * vX_[759]) / vX_[314] + vX_[72] + vX_[845] * vX_[47] + vX_[317] * vX_[137] + vX_[596] * vX_[746] + vX_[438] * vX_[733] + -1 * (vX_[747] + (vX_[435] * vX_[755]) / vX_[435])) / vX_[573];
+ vX_[72] = (2.0678571 * vX_[8] + vX_[24] * vX_[482] + vX_[86] * vX_[561] + vX_[87] * vX_[19] + vX_[608] * vX_[93] + vX_[128] * vX_[331] + vX_[199] * vX_[545] + vX_[200] * vX_[753] + vX_[763] * vX_[18] + vX_[239] * vX_[817] + vX_[318] * vX_[50] + vX_[319] * vX_[47] + vX_[831] * vX_[137] + vX_[360] * vX_[74] + vX_[441] * vX_[216] + vX_[442] * vX_[746] + vX_[611] * vX_[733] - -1.1915559 * x_in[18] - vX_[689] * vX_[747]) / vX_[570];
+ vX_[216] = (vX_[86] * vX_[482] + vX_[88] * vX_[561] + 0.207 * vX_[11] + vX_[89] * vX_[19] + vX_[649] * vX_[93] + vX_[198] * vX_[331] + vX_[128] * vX_[545] + 0.207 * vX_[760] + vX_[201] * vX_[753] + vX_[762] * vX_[18] + vX_[318] * vX_[817] + vX_[320] * vX_[50] + 0.207 * vX_[26] + vX_[321] * vX_[47] + vX_[830] * vX_[137] + vX_[440] * vX_[74] + vX_[360] * vX_[216] + 0.207 * vX_[110] + vX_[443] * vX_[746] + vX_[610] * vX_[733] - -0.0053433 * vX_[8] - vX_[687] * vX_[72] - vX_[480] * vX_[747]) / vX_[572];
+ vX_[8] = (53.433 * vX_[8] + vX_[11] + -1 * vX_[760] + vX_[26] + -1 * vX_[110] - vX_[932] * vX_[72] - vX_[949] * vX_[747] - vX_[946] * vX_[216]) / vX_[976];
+ vX_[110] = (vX_[24] * vX_[19] + vX_[86] * vX_[93] + vX_[127] * vX_[753] + vX_[765] * vX_[18] + vX_[239] * vX_[47] + vX_[318] * vX_[137] + vX_[597] * vX_[746] + vX_[612] * vX_[733] - vX_[913] * vX_[72] - vX_[933] * vX_[747] - vX_[722] * vX_[216] - vX_[948] * vX_[8]) / vX_[973];
+ vX_[733] = (53.433 * x_in[18] + vX_[86] * vX_[19] + vX_[616] * vX_[93] + vX_[198] * vX_[753] + vX_[764] * vX_[18] + vX_[318] * vX_[47] + vX_[832] * vX_[137] + vX_[440] * vX_[746] + vX_[359] * vX_[733] - vX_[977] * vX_[72] - vX_[945] * vX_[747] - vX_[474] * vX_[216] - vX_[984] * vX_[8] - vX_[955] * vX_[110]) / vX_[975];
+ jac[815] = - vX_[733];
+ vX_[110] = vX_[110] - vX_[986] * vX_[733];
+ jac[814] = - vX_[110];
+ vX_[8] = vX_[8] - vX_[985] * vX_[733] - vX_[919] * vX_[110];
+ jac[813] = - vX_[8];
+ vX_[216] = vX_[216] - vX_[936] * vX_[110] - vX_[947] * vX_[8] - vX_[980] * vX_[733];
+ jac[812] = - vX_[216];
+ vX_[72] = vX_[72] - vX_[938] * vX_[8] - vX_[586] * vX_[216] - vX_[935] * vX_[110] - vX_[979] * vX_[733];
+ jac[810] = vX_[574] * vX_[216] + vX_[688] * vX_[72] + vX_[937] * vX_[8] + vX_[934] * vX_[110] + vX_[978] * vX_[733] - vX_[747];
+ jac[811] = - vX_[72];
+ vX_[72] = -1 * jac[810];
+ vX_[216] = vX_[440] * jac[812] + vX_[360] * jac[811];
+ vX_[8] = vX_[360] * jac[812] + vX_[441] * jac[811];
+ vX_[110] = -1 * jac[813];
+ vX_[733] = 0.207 * jac[812] + vX_[110];
+ vX_[749] = vX_[610] * jac[812] + vX_[611] * jac[811] + vX_[438] * jac[810] + vX_[359] * jac[815] + vX_[612] * jac[814] + vX_[749];
+ jac[816] = (vX_[755] - vX_[435] * vX_[72] - vX_[472] * vX_[216] - vX_[430] * vX_[8] - vX_[457] * vX_[733] - vX_[449] * (vX_[443] * jac[812] + vX_[442] * jac[811] + vX_[596] * jac[810] + vX_[440] * jac[815] + vX_[597] * jac[814] + vX_[98]) - vX_[433] * vX_[749]) / vX_[435];
+ vX_[755] = -1 * vX_[216];
+ vX_[98] = vX_[72] + jac[816];
+ vX_[717] = vX_[361] * vX_[733] + vX_[625] * vX_[749] + vX_[592] * vX_[216] + vX_[717];
+ vX_[749] = vX_[388] * vX_[733] + vX_[361] * vX_[749] + vX_[409] * vX_[216] + vX_[752];
+ jac[817] = (vX_[52] - vX_[385] * vX_[755] - vX_[392] * (vX_[361] * vX_[98] + vX_[389] * vX_[8]) - vX_[373] * (vX_[388] * vX_[98] + vX_[361] * vX_[8]) - vX_[383] * vX_[717] - vX_[396] * vX_[749]) / vX_[385];
+ vX_[755] = vX_[755] + jac[817];
+ jac[818] = (vX_[795] - 0.1104774 * (vX_[362] * vX_[717] + vX_[636] * vX_[749] + vX_[637] * vX_[755] + vX_[491]) - -0.0004405 * (vX_[364] * vX_[717] + vX_[362] * vX_[749] + vX_[367] * vX_[755] + vX_[744]) - 0.026181 * vX_[755]) / 0.026181;
+ vX_[755] = vX_[318] * jac[812] + vX_[239] * jac[811];
+ vX_[749] = vX_[320] * jac[812] + vX_[318] * jac[811];
+ vX_[717] = 0.207 * jac[812] + jac[813];
+ vX_[22] = vX_[830] * jac[812] + vX_[831] * jac[811] + vX_[317] * jac[810] + vX_[832] * jac[815] + vX_[318] * jac[814] + vX_[22];
+ jac[819] = (vX_[759] - vX_[314] * jac[810] - vX_[350] * vX_[755] - vX_[309] * vX_[749] - vX_[335] * vX_[717] - vX_[327] * (vX_[321] * jac[812] + vX_[319] * jac[811] + vX_[845] * jac[810] + vX_[318] * jac[815] + vX_[239] * jac[814] + vX_[729]) - vX_[312] * vX_[22]) / vX_[314];
+ vX_[759] = jac[810] + jac[819];
+ vX_[233] = vX_[850] * vX_[717] + vX_[851] * vX_[22] + vX_[852] * vX_[755] + vX_[233];
+ vX_[22] = vX_[267] * vX_[717] + vX_[240] * vX_[22] + vX_[289] * vX_[755] + vX_[682];
+ jac[820] = (vX_[534] - vX_[264] * vX_[755] - vX_[271] * (vX_[287] * vX_[759] + vX_[268] * vX_[749]) - vX_[252] * (vX_[268] * vX_[759] + vX_[240] * vX_[749]) - vX_[262] * vX_[233] - vX_[275] * vX_[22]) / vX_[264];
+ vX_[755] = vX_[755] + jac[820];
+ jac[821] = (vX_[104] - 0.1104774 * (vX_[241] * vX_[233] + vX_[854] * vX_[22] + vX_[856] * vX_[755] + vX_[49]) - -0.0004405 * (vX_[243] * vX_[233] + vX_[241] * vX_[22] + vX_[246] * vX_[755] + vX_[738]) - 0.026181 * vX_[755]) / 0.026181;
+ vX_[755] = vX_[198] * jac[812] + vX_[128] * jac[811];
+ vX_[22] = vX_[128] * jac[812] + vX_[199] * jac[811];
+ vX_[110] = 0.207 * jac[812] + vX_[110];
+ vX_[544] = vX_[762] * jac[812] + vX_[763] * jac[811] + vX_[196] * jac[810] + vX_[764] * jac[815] + vX_[765] * jac[814] + vX_[544];
+ jac[822] = (vX_[90] - vX_[193] * vX_[72] - vX_[230] * vX_[755] - vX_[188] * vX_[22] - vX_[215] * vX_[110] - vX_[207] * (vX_[201] * jac[812] + vX_[200] * jac[811] + vX_[701] * jac[810] + vX_[198] * jac[815] + vX_[127] * jac[814] + vX_[63]) - vX_[191] * vX_[544]) / vX_[193];
+ vX_[90] = -1 * vX_[755];
+ vX_[72] = vX_[72] + jac[822];
+ vX_[116] = vX_[129] * vX_[110] + vX_[772] * vX_[544] + vX_[773] * vX_[755] + vX_[116];
+ vX_[544] = vX_[149] * vX_[110] + vX_[129] * vX_[544] + vX_[167] * vX_[755] + vX_[25];
+ jac[823] = (vX_[910] - vX_[146] * vX_[90] - 2.1e-05 * (vX_[129] * vX_[72] + vX_[150] * vX_[22]) - -0.000102 * (vX_[149] * vX_[72] + vX_[129] * vX_[22]) - vX_[144] * vX_[116] - vX_[154] * vX_[544]) / vX_[146];
+ vX_[90] = vX_[90] + jac[823];
+ jac[824] = (vX_[951] - 0.110125 * (vX_[132] * vX_[116] + vX_[782] * vX_[544] + vX_[783] * vX_[90] + vX_[59]) - 0.000881 * (vX_[130] * vX_[116] + vX_[132] * vX_[544] + vX_[131] * vX_[90] + vX_[56]) - 0.026181 * vX_[90]) / 0.026181;
+ vX_[90] = vX_[86] * jac[812] + vX_[24] * jac[811];
+ vX_[544] = vX_[88] * jac[812] + vX_[86] * jac[811];
+ vX_[116] = 0.207 * jac[812] + jac[813];
+ vX_[944] = vX_[649] * jac[812] + vX_[608] * jac[811] + vX_[85] * jac[810] + vX_[616] * jac[815] + vX_[86] * jac[814] + vX_[944];
+ jac[825] = (vX_[532] - vX_[82] * jac[810] - vX_[118] * vX_[90] - vX_[77] * vX_[544] - vX_[103] * vX_[116] - vX_[95] * (vX_[89] * jac[812] + vX_[87] * jac[811] + vX_[703] * jac[810] + vX_[86] * jac[815] + vX_[24] * jac[814] + vX_[70]) - vX_[80] * vX_[944]) / vX_[82];
+ vX_[532] = jac[810] + jac[825];
+ vX_[107] = vX_[708] * vX_[116] + vX_[709] * vX_[944] + vX_[710] * vX_[90] + vX_[107];
+ vX_[944] = vX_[10] * vX_[116] + vX_[33] * vX_[944] + vX_[57] * vX_[90] + vX_[41];
+ jac[826] = (vX_[96] - vX_[17] * vX_[90] - vX_[6] * (vX_[55] * vX_[532] + vX_[38] * vX_[544]) - vX_[23] * (vX_[38] * vX_[532] + vX_[33] * vX_[544]) - vX_[15] * vX_[107] - vX_[43] * vX_[944]) / vX_[17];
+ vX_[90] = vX_[90] + jac[826];
+ jac[827] = (vX_[83] - 0.1104774 * (vX_[20] * vX_[107] + vX_[712] * vX_[944] + vX_[714] * vX_[90] + vX_[727]) - 0.0004405 * (vX_[37] * vX_[107] + vX_[20] * vX_[944] + vX_[34] * vX_[90] + vX_[751]) - 0.026181 * vX_[90]) / 0.026181;
+ vX_[90] = 0 - vX_[640] * vX_[86];
+ vX_[944] = vX_[33] * vX_[616];
+ vX_[107] = vX_[697] * vX_[944];
+ vX_[751] = vX_[700] * vX_[86];
+ vX_[727] = vX_[709] * vX_[616];
+ vX_[83] = vX_[37] * vX_[727] + vX_[20] * vX_[944];
+ vX_[532] = vX_[707] * vX_[83];
+ vX_[544] = vX_[718] * vX_[86];
+ vX_[96] = vX_[20] * vX_[727] + vX_[712] * vX_[944];
+ vX_[116] = vX_[702] * vX_[86] - vX_[707] * vX_[96];
+ vX_[41] = 0.1104774 * (vX_[532] - vX_[544]) - -0.0004405 * vX_[116];
+ vX_[70] = 0 - vX_[41];
+ vX_[951] = (- vX_[83]) * x_in[35];
+ vX_[56] = vX_[96] * x_in[35];
+ vX_[59] = -0.881 * (vX_[544] - vX_[532]) + 0.414812462825713 * vX_[951] + -0.00185880198235362 * vX_[56] + (0.1104774 * vX_[70]) / 0.026181;
+ vX_[72] = 0.881 * vX_[116] + -0.00185880198235362 * vX_[951] + 0.880992588508842 * vX_[56] + (0.0004405 * vX_[70]) / 0.026181;
+ vX_[22] = vX_[696] * vX_[86] - vX_[697] * vX_[727];
+ vX_[41] = 0.47422804 * (vX_[107] - vX_[751]) + (0.026181 * vX_[70]) / 0.026181 + vX_[41] + vX_[714] * vX_[59] + vX_[34] * vX_[72] - 0.0825825 * vX_[22];
+ vX_[910] = 0 - vX_[41];
+ vX_[110] = (- vX_[944]) * x_in[34];
+ vX_[755] = vX_[727] * x_in[34];
+ vX_[751] = -3.146 * (vX_[751] - vX_[107]) + vX_[20] * vX_[59] + vX_[37] * vX_[72] + vX_[66] * vX_[110] + vX_[68] * vX_[755] + (vX_[15] * vX_[910]) / vX_[17];
+ vX_[22] = 3.146 * vX_[22] + vX_[712] * vX_[59] + vX_[20] * vX_[72] + vX_[68] * vX_[110] + vX_[67] * vX_[755] + (vX_[43] * vX_[910]) / vX_[17];
+ vX_[72] = (- vX_[616]) * x_in[33];
+ vX_[59] = vX_[86] * x_in[33];
+ vX_[107] = vX_[640] * vX_[616];
+ vX_[96] = vX_[718] * vX_[96] - vX_[702] * vX_[83];
+ vX_[116] = 8.81e-05 * vX_[116] + 8.81e-05 * vX_[56] - 0.1104774 * vX_[96];
+ vX_[544] = -0.0004405 * vX_[96] + 8.81e-05 * (vX_[544] - vX_[532]) + -8.81e-05 * vX_[951];
+ vX_[96] = 0.881 * vX_[96];
+ vX_[727] = vX_[700] * vX_[727] - vX_[696] * vX_[944];
+ vX_[944] = vX_[20] * vX_[116] + vX_[37] * vX_[544] + -0.35 * vX_[96] + vX_[31] * vX_[110] + vX_[46] * vX_[755] + (vX_[6] * vX_[910]) / vX_[17] - 0.47422804 * vX_[727];
+ vX_[544] = 0.0825825 * vX_[727] + vX_[36] * vX_[116] + vX_[20] * vX_[544] + vX_[13] * vX_[110] + vX_[45] * vX_[755] + (vX_[23] * vX_[910]) / vX_[17];
+ vX_[727] = 3.146 * vX_[727] + vX_[96];
+ vX_[96] = 0.1466472 * vX_[107] + vX_[55] * vX_[944] + vX_[38] * vX_[544] + 0.08 * vX_[727];
+ vX_[116] = 0 - vX_[96];
+ vX_[532] = vX_[659] * vX_[86] - vX_[587] * vX_[616];
+ vX_[41] = 0.5824264 * vX_[90] + (vX_[17] * vX_[910]) / vX_[17] + vX_[41] + vX_[710] * vX_[751] + vX_[57] * vX_[22] + vX_[119] * vX_[72] + vX_[108] * vX_[59] + (vX_[118] * vX_[116]) / vX_[82] - 0.1466472 * vX_[532];
+ vX_[544] = 0.5824264 * (0 - vX_[107]) + vX_[38] * vX_[944] + vX_[33] * vX_[544] + vX_[109] * vX_[72] + vX_[84] * vX_[59] + (vX_[77] * vX_[116]) / vX_[82];
+ vX_[532] = 3.44 * vX_[532] + vX_[708] * vX_[751] + vX_[10] * vX_[22] + vX_[112] * vX_[72] + vX_[105] * vX_[59] + (vX_[103] * vX_[116]) / vX_[82];
+ vX_[727] = -3.44 * (0 - vX_[107]) + vX_[727] + vX_[111] * vX_[72] + vX_[97] * vX_[59] + (vX_[95] * vX_[116]) / vX_[82];
+ vX_[22] = 3.44 * vX_[90] + vX_[709] * vX_[751] + vX_[33] * vX_[22] + vX_[97] * vX_[72] + vX_[123] * vX_[59] + (vX_[80] * vX_[116]) / vX_[82];
+ vX_[751] = 0 - vX_[761] * vX_[198];
+ vX_[90] = -1 * vX_[198];
+ vX_[107] = vX_[769] * vX_[90];
+ vX_[944] = vX_[129] * vX_[764];
+ vX_[83] = vX_[770] * vX_[944];
+ vX_[25] = vX_[779] * vX_[90];
+ vX_[63] = vX_[772] * vX_[764];
+ vX_[233] = vX_[130] * vX_[63] + vX_[132] * vX_[944];
+ vX_[738] = vX_[780] * vX_[233];
+ vX_[49] = (- vX_[233]) * x_in[32];
+ vX_[104] = vX_[132] * vX_[63] + vX_[782] * vX_[944];
+ vX_[759] = vX_[104] * x_in[32];
+ vX_[749] = vX_[785] * vX_[90] - vX_[780] * vX_[104];
+ vX_[534] = 0.110125 * (vX_[738] - vX_[25]) - -0.000881 * vX_[749];
+ vX_[717] = 0 - vX_[534];
+ vX_[738] = -0.881 * (vX_[25] - vX_[738]) + 0.417781802643138 * vX_[49] + -0.00370574557885489 * vX_[759] + (0.110125 * vX_[717]) / 0.026181;
+ vX_[749] = 0.881 * vX_[749] + -0.00370574557885489 * vX_[49] + 0.880970354035369 * vX_[759] + (0.000881 * vX_[717]) / 0.026181;
+ vX_[25] = (- vX_[944]) * x_in[31];
+ vX_[682] = vX_[63] * x_in[31];
+ vX_[90] = vX_[775] * vX_[90] - vX_[770] * vX_[63];
+ vX_[534] = 0.47422804 * (vX_[83] - vX_[107]) + (0.026181 * vX_[717]) / 0.026181 + vX_[534] + vX_[783] * vX_[738] + vX_[131] * vX_[749] - 0.0825825 * vX_[90];
+ vX_[729] = 0 - vX_[534];
+ vX_[83] = -3.146 * (vX_[107] - vX_[83]) + vX_[132] * vX_[738] + vX_[130] * vX_[749] + vX_[177] * vX_[25] + vX_[179] * vX_[682] + (vX_[144] * vX_[729]) / vX_[146];
+ vX_[90] = 3.146 * vX_[90] + vX_[782] * vX_[738] + vX_[132] * vX_[749] + vX_[179] * vX_[25] + vX_[178] * vX_[682] + (vX_[154] * vX_[729]) / vX_[146];
+ vX_[749] = (- vX_[764]) * x_in[30];
+ vX_[738] = vX_[198] * x_in[30];
+ vX_[107] = vX_[761] * vX_[764];
+ vX_[104] = vX_[779] * vX_[104] - vX_[785] * vX_[233];
+ vX_[233] = 0 - 0.110125 * vX_[104];
+ vX_[795] = -0.000881 * vX_[104];
+ vX_[104] = 0.881 * vX_[104];
+ vX_[63] = vX_[769] * vX_[63] - vX_[775] * vX_[944];
+ vX_[944] = vX_[132] * vX_[233] + vX_[130] * vX_[795] + -0.35 * vX_[104] + vX_[151] * vX_[25] + vX_[157] * vX_[682] + (2.1e-05 * vX_[729]) / vX_[146] - 0.47422804 * vX_[63];
+ vX_[795] = 0.0825825 * vX_[63] + vX_[142] * vX_[233] + vX_[132] * vX_[795] + vX_[148] * vX_[25] + vX_[156] * vX_[682] + (-0.000102 * vX_[729]) / vX_[146];
+ vX_[63] = 3.146 * vX_[63] + vX_[104];
+ vX_[104] = 0.1466472 * vX_[107] + vX_[129] * vX_[944] + vX_[149] * vX_[795] + -0.08 * vX_[63];
+ vX_[233] = 0 - vX_[104];
+ vX_[744] = vX_[756] * vX_[198] - vX_[757] * vX_[764];
+ vX_[534] = -0.5824264 * vX_[751] + vX_[773] * vX_[83] + vX_[167] * vX_[90] + -1 * (vX_[534] + (vX_[146] * vX_[729]) / vX_[146]) + vX_[231] * vX_[749] + vX_[220] * vX_[738] + (vX_[230] * vX_[233]) / vX_[193] - 0.1466472 * vX_[744];
+ vX_[795] = -0.5824264 * (0 - vX_[107]) + vX_[150] * vX_[944] + vX_[129] * vX_[795] + vX_[221] * vX_[749] + vX_[195] * vX_[738] + (vX_[188] * vX_[233]) / vX_[193];
+ vX_[744] = 3.44 * vX_[744] + vX_[129] * vX_[83] + vX_[149] * vX_[90] + vX_[224] * vX_[749] + vX_[217] * vX_[738] + (vX_[215] * vX_[233]) / vX_[193];
+ vX_[63] = -3.44 * (0 - vX_[107]) + -1 * vX_[63] + vX_[223] * vX_[749] + vX_[209] * vX_[738] + (vX_[207] * vX_[233]) / vX_[193];
+ vX_[90] = 3.44 * vX_[751] + vX_[772] * vX_[83] + vX_[129] * vX_[90] + vX_[209] * vX_[749] + vX_[235] * vX_[738] + (vX_[191] * vX_[233]) / vX_[193];
+ vX_[83] = 0 - vX_[829] * vX_[318];
+ vX_[751] = vX_[240] * vX_[832];
+ vX_[107] = vX_[839] * vX_[751];
+ vX_[944] = vX_[842] * vX_[318];
+ vX_[491] = vX_[851] * vX_[832];
+ vX_[98] = vX_[243] * vX_[491] + vX_[241] * vX_[751];
+ vX_[8] = vX_[849] * vX_[98];
+ vX_[52] = vX_[860] * vX_[318];
+ vX_[733] = vX_[241] * vX_[491] + vX_[854] * vX_[751];
+ vX_[216] = vX_[844] * vX_[318] - vX_[849] * vX_[733];
+ vX_[752] = 0.1104774 * (vX_[8] - vX_[52]) - 0.0004405 * vX_[216];
+ vX_[747] = 0 - vX_[752];
+ vX_[746] = (- vX_[98]) * x_in[29];
+ vX_[137] = vX_[733] * x_in[29];
+ vX_[47] = -0.881 * (vX_[52] - vX_[8]) + 0.414812462825713 * vX_[746] + 0.00185880198235362 * vX_[137] + (0.1104774 * vX_[747]) / 0.026181;
+ vX_[18] = 0.881 * vX_[216] + 0.00185880198235362 * vX_[746] + 0.880992588508842 * vX_[137] + (-0.0004405 * vX_[747]) / 0.026181;
+ vX_[753] = vX_[838] * vX_[318] - vX_[839] * vX_[491];
+ vX_[752] = 0.47422804 * (vX_[107] - vX_[944]) + (0.026181 * vX_[747]) / 0.026181 + vX_[752] + vX_[856] * vX_[47] + vX_[246] * vX_[18] - -0.0825825 * vX_[753];
+ vX_[93] = 0 - vX_[752];
+ vX_[19] = (- vX_[751]) * x_in[28];
+ vX_[26] = vX_[491] * x_in[28];
+ vX_[944] = -3.146 * (vX_[944] - vX_[107]) + vX_[241] * vX_[47] + vX_[243] * vX_[18] + vX_[298] * vX_[19] + vX_[300] * vX_[26] + (vX_[262] * vX_[93]) / vX_[264];
+ vX_[753] = 3.146 * vX_[753] + vX_[854] * vX_[47] + vX_[241] * vX_[18] + vX_[300] * vX_[19] + vX_[299] * vX_[26] + (vX_[275] * vX_[93]) / vX_[264];
+ vX_[18] = (- vX_[832]) * x_in[27];
+ vX_[47] = vX_[318] * x_in[27];
+ vX_[107] = vX_[829] * vX_[832];
+ vX_[733] = vX_[860] * vX_[733] - vX_[844] * vX_[98];
+ vX_[216] = -8.81e-05 * vX_[216] + -8.81e-05 * vX_[137] - 0.1104774 * vX_[733];
+ vX_[52] = 0.0004405 * vX_[733] + -8.81e-05 * (vX_[52] - vX_[8]) + 8.81e-05 * vX_[746];
+ vX_[733] = 0.881 * vX_[733];
+ vX_[491] = vX_[842] * vX_[491] - vX_[838] * vX_[751];
+ vX_[751] = vX_[241] * vX_[216] + vX_[243] * vX_[52] + -0.35 * vX_[733] + vX_[272] * vX_[19] + vX_[278] * vX_[26] + (vX_[271] * vX_[93]) / vX_[264] - 0.47422804 * vX_[491];
+ vX_[52] = -0.0825825 * vX_[491] + vX_[244] * vX_[216] + vX_[241] * vX_[52] + vX_[266] * vX_[19] + vX_[277] * vX_[26] + (vX_[252] * vX_[93]) / vX_[264];
+ vX_[491] = 3.146 * vX_[491] + vX_[733];
+ vX_[733] = 0.1466472 * vX_[107] + vX_[287] * vX_[751] + vX_[268] * vX_[52] + 0.08 * vX_[491];
+ vX_[216] = 0 - vX_[733];
+ vX_[8] = vX_[826] * vX_[318] - vX_[827] * vX_[832];
+ vX_[752] = -0.5824264 * vX_[83] + (vX_[264] * vX_[93]) / vX_[264] + vX_[752] + vX_[852] * vX_[944] + vX_[289] * vX_[753] + vX_[351] * vX_[18] + vX_[340] * vX_[47] + (vX_[350] * vX_[216]) / vX_[314] - 0.1466472 * vX_[8];
+ vX_[52] = -0.5824264 * (0 - vX_[107]) + vX_[268] * vX_[751] + vX_[240] * vX_[52] + vX_[341] * vX_[18] + vX_[316] * vX_[47] + (vX_[309] * vX_[216]) / vX_[314];
+ vX_[8] = 3.44 * vX_[8] + vX_[850] * vX_[944] + vX_[267] * vX_[753] + vX_[344] * vX_[18] + vX_[337] * vX_[47] + (vX_[335] * vX_[216]) / vX_[314];
+ vX_[491] = -3.44 * (0 - vX_[107]) + vX_[491] + vX_[343] * vX_[18] + vX_[329] * vX_[47] + (vX_[327] * vX_[216]) / vX_[314];
+ vX_[753] = 3.44 * vX_[83] + vX_[851] * vX_[944] + vX_[240] * vX_[753] + vX_[329] * vX_[18] + vX_[355] * vX_[47] + (vX_[312] * vX_[216]) / vX_[314];
+ vX_[944] = 0 - vX_[580] * vX_[440];
+ vX_[83] = -1 * vX_[440];
+ vX_[107] = vX_[593] * vX_[83];
+ vX_[751] = vX_[361] * vX_[359];
+ vX_[98] = vX_[602] * vX_[751];
+ vX_[760] = vX_[619] * vX_[83];
+ vX_[11] = vX_[625] * vX_[359];
+ vX_[74] = vX_[364] * vX_[11] + vX_[362] * vX_[751];
+ vX_[50] = vX_[624] * vX_[74];
+ vX_[817] = (- vX_[74]) * x_in[26];
+ vX_[545] = vX_[362] * vX_[11] + vX_[636] * vX_[751];
+ vX_[331] = vX_[545] * x_in[26];
+ vX_[561] = vX_[632] * vX_[83] - vX_[624] * vX_[545];
+ vX_[482] = 0.1104774 * (vX_[50] - vX_[760]) - 0.0004405 * vX_[561];
+ vX_[726] = 0 - vX_[482];
+ vX_[16] = -0.881 * (vX_[760] - vX_[50]) + 0.414812462825713 * vX_[817] + 0.00185880198235362 * vX_[331] + (0.1104774 * vX_[726]) / 0.026181;
+ vX_[21] = 0.881 * vX_[561] + 0.00185880198235362 * vX_[817] + 0.880992588508842 * vX_[331] + (-0.0004405 * vX_[726]) / 0.026181;
+ vX_[0] = (- vX_[751]) * x_in[25];
+ vX_[12] = vX_[11] * x_in[25];
+ vX_[83] = vX_[617] * vX_[83] - vX_[602] * vX_[11];
+ vX_[482] = 0.47422804 * (vX_[98] - vX_[107]) + (0.026181 * vX_[726]) / 0.026181 + vX_[482] + vX_[637] * vX_[16] + vX_[367] * vX_[21] - -0.0825825 * vX_[83];
+ vX_[121] = 0 - vX_[482];
+ vX_[98] = -3.146 * (vX_[107] - vX_[98]) + vX_[362] * vX_[16] + vX_[364] * vX_[21] + vX_[419] * vX_[0] + vX_[421] * vX_[12] + (vX_[383] * vX_[121]) / vX_[385];
+ vX_[83] = 3.146 * vX_[83] + vX_[636] * vX_[16] + vX_[362] * vX_[21] + vX_[421] * vX_[0] + vX_[420] * vX_[12] + (vX_[396] * vX_[121]) / vX_[385];
+ vX_[21] = (- vX_[359]) * x_in[24];
+ vX_[16] = vX_[440] * x_in[24];
+ vX_[107] = vX_[580] * vX_[359];
+ vX_[545] = vX_[619] * vX_[545] - vX_[632] * vX_[74];
+ vX_[561] = -8.81e-05 * vX_[561] + -8.81e-05 * vX_[331] - 0.1104774 * vX_[545];
+ vX_[50] = 0.0004405 * vX_[545] + -8.81e-05 * (vX_[760] - vX_[50]) + 8.81e-05 * vX_[817];
+ vX_[545] = 0.881 * vX_[545];
+ vX_[11] = vX_[593] * vX_[11] - vX_[617] * vX_[751];
+ vX_[751] = vX_[362] * vX_[561] + vX_[364] * vX_[50] + -0.35 * vX_[545] + vX_[393] * vX_[0] + vX_[399] * vX_[12] + (vX_[392] * vX_[121]) / vX_[385] - 0.47422804 * vX_[11];
+ vX_[50] = -0.0825825 * vX_[11] + vX_[365] * vX_[561] + vX_[362] * vX_[50] + vX_[387] * vX_[0] + vX_[398] * vX_[12] + (vX_[373] * vX_[121]) / vX_[385];
+ vX_[11] = 3.146 * vX_[11] + vX_[545];
+ vX_[545] = 0.1466472 * vX_[107] + vX_[361] * vX_[751] + vX_[388] * vX_[50] + -0.08 * vX_[11];
+ vX_[561] = 0 - vX_[545];
+ vX_[760] = vX_[588] * vX_[440] - vX_[601] * vX_[359];
+ vX_[482] = 0.5824264 * vX_[944] + vX_[592] * vX_[98] + vX_[409] * vX_[83] + -1 * (vX_[482] + (vX_[385] * vX_[121]) / vX_[385]) + vX_[473] * vX_[21] + vX_[462] * vX_[16] + (vX_[472] * vX_[561]) / vX_[435] - 0.1466472 * vX_[760];
+ vX_[50] = 0.5824264 * (0 - vX_[107]) + vX_[389] * vX_[751] + vX_[361] * vX_[50] + vX_[463] * vX_[21] + vX_[437] * vX_[16] + (vX_[430] * vX_[561]) / vX_[435];
+ vX_[760] = 3.44 * vX_[760] + vX_[361] * vX_[98] + vX_[388] * vX_[83] + vX_[466] * vX_[21] + vX_[459] * vX_[16] + (vX_[457] * vX_[561]) / vX_[435];
+ vX_[11] = -3.44 * (0 - vX_[107]) + -1 * vX_[11] + vX_[465] * vX_[21] + vX_[451] * vX_[16] + (vX_[449] * vX_[561]) / vX_[435];
+ vX_[83] = 3.44 * vX_[944] + vX_[625] * vX_[98] + vX_[361] * vX_[83] + vX_[451] * vX_[21] + vX_[477] * vX_[16] + (vX_[433] * vX_[561]) / vX_[435];
+ vX_[545] = (2.0678571 * x_in[18] + (vX_[82] * vX_[116]) / vX_[82] + vX_[96] + vX_[703] * vX_[727] + vX_[85] * vX_[22] + vX_[701] * vX_[63] + vX_[196] * vX_[90] + -1 * (vX_[104] + (vX_[193] * vX_[233]) / vX_[193]) + (vX_[314] * vX_[216]) / vX_[314] + vX_[733] + vX_[845] * vX_[491] + vX_[317] * vX_[753] + vX_[596] * vX_[11] + vX_[438] * vX_[83] + -1 * (vX_[545] + (vX_[435] * vX_[561]) / vX_[435])) / vX_[573];
+ vX_[733] = (2.0678571 * x_in[19] + vX_[24] * vX_[41] + vX_[86] * vX_[544] + vX_[87] * vX_[727] + vX_[608] * vX_[22] + vX_[128] * vX_[534] + vX_[199] * vX_[795] + vX_[200] * vX_[63] + vX_[763] * vX_[90] + vX_[239] * vX_[752] + vX_[318] * vX_[52] + vX_[319] * vX_[491] + vX_[831] * vX_[753] + vX_[360] * vX_[482] + vX_[441] * vX_[50] + vX_[442] * vX_[11] + vX_[611] * vX_[83] - vX_[689] * vX_[545]) / vX_[570];
+ vX_[50] = (-1.1915559 * (0 - x_in[18]) + vX_[86] * vX_[41] + vX_[88] * vX_[544] + 0.207 * vX_[532] + vX_[89] * vX_[727] + vX_[649] * vX_[22] + vX_[198] * vX_[534] + vX_[128] * vX_[795] + 0.207 * vX_[744] + vX_[201] * vX_[63] + vX_[762] * vX_[90] + vX_[318] * vX_[752] + vX_[320] * vX_[52] + 0.207 * vX_[8] + vX_[321] * vX_[491] + vX_[830] * vX_[753] + vX_[440] * vX_[482] + vX_[360] * vX_[50] + 0.207 * vX_[760] + vX_[443] * vX_[11] + vX_[610] * vX_[83] - -0.0053433 * x_in[19] - vX_[687] * vX_[733] - vX_[480] * vX_[545]) / vX_[572];
+ vX_[760] = (53.433 * x_in[19] + vX_[532] + -1 * vX_[744] + vX_[8] + -1 * vX_[760] - vX_[932] * vX_[733] - vX_[949] * vX_[545] - vX_[946] * vX_[50]) / vX_[976];
+ vX_[8] = (-53.433 * x_in[18] + vX_[24] * vX_[727] + vX_[86] * vX_[22] + vX_[127] * vX_[63] + vX_[765] * vX_[90] + vX_[239] * vX_[491] + vX_[318] * vX_[753] + vX_[597] * vX_[11] + vX_[612] * vX_[83] - vX_[913] * vX_[733] - vX_[933] * vX_[545] - vX_[722] * vX_[50] - vX_[948] * vX_[760]) / vX_[973];
+ vX_[83] = (vX_[86] * vX_[727] + vX_[616] * vX_[22] + vX_[198] * vX_[63] + vX_[764] * vX_[90] + vX_[318] * vX_[491] + vX_[832] * vX_[753] + vX_[440] * vX_[11] + vX_[359] * vX_[83] - vX_[977] * vX_[733] - vX_[945] * vX_[545] - vX_[474] * vX_[50] - vX_[984] * vX_[760] - vX_[955] * vX_[8]) / vX_[975];
+ jac[851] = - vX_[83];
+ vX_[8] = vX_[8] - vX_[986] * vX_[83];
+ jac[850] = - vX_[8];
+ vX_[760] = vX_[760] - vX_[985] * vX_[83] - vX_[919] * vX_[8];
+ jac[849] = - vX_[760];
+ vX_[50] = vX_[50] - vX_[936] * vX_[8] - vX_[947] * vX_[760] - vX_[980] * vX_[83];
+ jac[848] = - vX_[50];
+ vX_[733] = vX_[733] - vX_[938] * vX_[760] - vX_[586] * vX_[50] - vX_[935] * vX_[8] - vX_[979] * vX_[83];
+ jac[846] = vX_[574] * vX_[50] + vX_[688] * vX_[733] + vX_[937] * vX_[760] + vX_[934] * vX_[8] + vX_[978] * vX_[83] - vX_[545];
+ jac[847] = - vX_[733];
+ vX_[733] = -1 * jac[846];
+ vX_[50] = vX_[440] * jac[848] + vX_[360] * jac[847];
+ vX_[760] = vX_[360] * jac[848] + vX_[441] * jac[847];
+ vX_[8] = -1 * jac[849];
+ vX_[83] = 0.207 * jac[848] + vX_[8];
+ vX_[16] = vX_[610] * jac[848] + vX_[611] * jac[847] + vX_[438] * jac[846] + vX_[359] * jac[851] + vX_[612] * jac[850] + vX_[16];
+ jac[852] = (vX_[561] - vX_[435] * vX_[733] - vX_[472] * vX_[50] - vX_[430] * vX_[760] - vX_[457] * vX_[83] - vX_[449] * (vX_[443] * jac[848] + vX_[442] * jac[847] + vX_[596] * jac[846] + vX_[440] * jac[851] + vX_[597] * jac[850] + vX_[21]) - vX_[433] * vX_[16]) / vX_[435];
+ vX_[561] = -1 * vX_[50];
+ vX_[21] = vX_[733] + jac[852];
+ vX_[0] = vX_[361] * vX_[83] + vX_[625] * vX_[16] + vX_[592] * vX_[50] + vX_[0];
+ vX_[16] = vX_[388] * vX_[83] + vX_[361] * vX_[16] + vX_[409] * vX_[50] + vX_[12];
+ jac[853] = (vX_[121] - vX_[385] * vX_[561] - vX_[392] * (vX_[361] * vX_[21] + vX_[389] * vX_[760]) - vX_[373] * (vX_[388] * vX_[21] + vX_[361] * vX_[760]) - vX_[383] * vX_[0] - vX_[396] * vX_[16]) / vX_[385];
+ vX_[561] = vX_[561] + jac[853];
+ jac[854] = (vX_[726] - 0.1104774 * (vX_[362] * vX_[0] + vX_[636] * vX_[16] + vX_[637] * vX_[561] + vX_[817]) - -0.0004405 * (vX_[364] * vX_[0] + vX_[362] * vX_[16] + vX_[367] * vX_[561] + vX_[331]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[561] = vX_[318] * jac[848] + vX_[239] * jac[847];
+ vX_[16] = vX_[320] * jac[848] + vX_[318] * jac[847];
+ vX_[0] = 0.207 * jac[848] + jac[849];
+ vX_[47] = vX_[830] * jac[848] + vX_[831] * jac[847] + vX_[317] * jac[846] + vX_[832] * jac[851] + vX_[318] * jac[850] + vX_[47];
+ jac[855] = (vX_[216] - vX_[314] * jac[846] - vX_[350] * vX_[561] - vX_[309] * vX_[16] - vX_[335] * vX_[0] - vX_[327] * (vX_[321] * jac[848] + vX_[319] * jac[847] + vX_[845] * jac[846] + vX_[318] * jac[851] + vX_[239] * jac[850] + vX_[18]) - vX_[312] * vX_[47]) / vX_[314];
+ vX_[216] = jac[846] + jac[855];
+ vX_[19] = vX_[850] * vX_[0] + vX_[851] * vX_[47] + vX_[852] * vX_[561] + vX_[19];
+ vX_[47] = vX_[267] * vX_[0] + vX_[240] * vX_[47] + vX_[289] * vX_[561] + vX_[26];
+ jac[856] = (vX_[93] - vX_[264] * vX_[561] - vX_[271] * (vX_[287] * vX_[216] + vX_[268] * vX_[16]) - vX_[252] * (vX_[268] * vX_[216] + vX_[240] * vX_[16]) - vX_[262] * vX_[19] - vX_[275] * vX_[47]) / vX_[264];
+ vX_[561] = vX_[561] + jac[856];
+ jac[857] = (vX_[747] - 0.1104774 * (vX_[241] * vX_[19] + vX_[854] * vX_[47] + vX_[856] * vX_[561] + vX_[746]) - -0.0004405 * (vX_[243] * vX_[19] + vX_[241] * vX_[47] + vX_[246] * vX_[561] + vX_[137]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[561] = vX_[198] * jac[848] + vX_[128] * jac[847];
+ vX_[47] = vX_[128] * jac[848] + vX_[199] * jac[847];
+ vX_[8] = 0.207 * jac[848] + vX_[8];
+ vX_[738] = vX_[762] * jac[848] + vX_[763] * jac[847] + vX_[196] * jac[846] + vX_[764] * jac[851] + vX_[765] * jac[850] + vX_[738];
+ jac[858] = (vX_[233] - vX_[193] * vX_[733] - vX_[230] * vX_[561] - vX_[188] * vX_[47] - vX_[215] * vX_[8] - vX_[207] * (vX_[201] * jac[848] + vX_[200] * jac[847] + vX_[701] * jac[846] + vX_[198] * jac[851] + vX_[127] * jac[850] + vX_[749]) - vX_[191] * vX_[738]) / vX_[193];
+ vX_[233] = -1 * vX_[561];
+ vX_[733] = vX_[733] + jac[858];
+ vX_[25] = vX_[129] * vX_[8] + vX_[772] * vX_[738] + vX_[773] * vX_[561] + vX_[25];
+ vX_[738] = vX_[149] * vX_[8] + vX_[129] * vX_[738] + vX_[167] * vX_[561] + vX_[682];
+ jac[859] = (vX_[729] - vX_[146] * vX_[233] - 2.1e-05 * (vX_[129] * vX_[733] + vX_[150] * vX_[47]) - -0.000102 * (vX_[149] * vX_[733] + vX_[129] * vX_[47]) - vX_[144] * vX_[25] - vX_[154] * vX_[738]) / vX_[146];
+ vX_[233] = vX_[233] + jac[859];
+ jac[860] = (vX_[717] - 0.110125 * (vX_[132] * vX_[25] + vX_[782] * vX_[738] + vX_[783] * vX_[233] + vX_[49]) - 0.000881 * (vX_[130] * vX_[25] + vX_[132] * vX_[738] + vX_[131] * vX_[233] + vX_[759]) - 0.026181 * vX_[233]) / 0.026181;
+ vX_[233] = vX_[86] * jac[848] + vX_[24] * jac[847];
+ vX_[738] = vX_[88] * jac[848] + vX_[86] * jac[847];
+ vX_[25] = 0.207 * jac[848] + jac[849];
+ vX_[59] = vX_[649] * jac[848] + vX_[608] * jac[847] + vX_[85] * jac[846] + vX_[616] * jac[851] + vX_[86] * jac[850] + vX_[59];
+ jac[861] = (vX_[116] - vX_[82] * jac[846] - vX_[118] * vX_[233] - vX_[77] * vX_[738] - vX_[103] * vX_[25] - vX_[95] * (vX_[89] * jac[848] + vX_[87] * jac[847] + vX_[703] * jac[846] + vX_[86] * jac[851] + vX_[24] * jac[850] + vX_[72]) - vX_[80] * vX_[59]) / vX_[82];
+ vX_[116] = jac[846] + jac[861];
+ vX_[110] = vX_[708] * vX_[25] + vX_[709] * vX_[59] + vX_[710] * vX_[233] + vX_[110];
+ vX_[59] = vX_[10] * vX_[25] + vX_[33] * vX_[59] + vX_[57] * vX_[233] + vX_[755];
+ jac[862] = (vX_[910] - vX_[17] * vX_[233] - vX_[6] * (vX_[55] * vX_[116] + vX_[38] * vX_[738]) - vX_[23] * (vX_[38] * vX_[116] + vX_[33] * vX_[738]) - vX_[15] * vX_[110] - vX_[43] * vX_[59]) / vX_[17];
+ vX_[233] = vX_[233] + jac[862];
+ jac[863] = (vX_[70] - 0.1104774 * (vX_[20] * vX_[110] + vX_[712] * vX_[59] + vX_[714] * vX_[233] + vX_[951]) - 0.0004405 * (vX_[37] * vX_[110] + vX_[20] * vX_[59] + vX_[34] * vX_[233] + vX_[56]) - 0.026181 * vX_[233]) / 0.026181;
+ vX_[233] = 0 - vX_[598];
+ vX_[580] = vX_[580] + vX_[580];
+ vX_[59] = vX_[593] * -0.08 + vX_[388] * vX_[599];
+ vX_[110] = vX_[593] * vX_[361] + vX_[388] * vX_[617];
+ vX_[56] = -0.35 * vX_[361] - 0.08;
+ vX_[951] = vX_[362] * vX_[388] + vX_[364] * vX_[361];
+ vX_[70] = vX_[619] * vX_[56] + vX_[951] * vX_[622];
+ vX_[116] = vX_[365] * vX_[388] + vX_[362] * vX_[361];
+ vX_[738] = vX_[619] * vX_[116] + vX_[951] * vX_[632];
+ vX_[910] = vX_[116] * vX_[624];
+ vX_[25] = vX_[116] * x_in[26];
+ vX_[56] = vX_[632] * vX_[56] + vX_[116] * vX_[622];
+ vX_[622] = 0.1104774 * (0 - vX_[70]) + 0.025941 * vX_[738] - 0.0004405 * vX_[56];
+ vX_[755] = 0 - vX_[622];
+ vX_[72] = vX_[619] * vX_[951] + vX_[951] * vX_[619];
+ vX_[717] = -0.881 * vX_[70] + 0.1104774 * vX_[738] + -8.81e-05 * vX_[910] + 8.81e-05 * vX_[25] + (0.1104774 * vX_[755]) / 0.026181 - 0.0004405 * vX_[72];
+ vX_[759] = vX_[951] * vX_[624];
+ vX_[49] = (- vX_[951]) * x_in[26];
+ vX_[733] = vX_[632] * vX_[116] + vX_[116] * vX_[632];
+ vX_[738] = 0.881 * vX_[56] + -8.81e-05 * vX_[759] + 0.0004405 * vX_[738] + -8.81e-05 * vX_[49] + (-0.0004405 * vX_[755]) / 0.026181 - 0.1104774 * vX_[733];
+ vX_[47] = (- vX_[388]) * x_in[25];
+ vX_[729] = vX_[361] * x_in[25];
+ vX_[8] = vX_[388] * vX_[602];
+ vX_[599] = vX_[617] * -0.08 + vX_[361] * vX_[599];
+ vX_[561] = vX_[361] * vX_[602];
+ vX_[682] = vX_[617] * vX_[361] + vX_[361] * vX_[617];
+ vX_[749] = vX_[593] * vX_[388] + vX_[388] * vX_[593];
+ vX_[622] = 0.47422804 * (0 - vX_[59]) + 0.081641 * vX_[110] + 2.1e-05 * vX_[8] + (0.026181 * vX_[755]) / 0.026181 + vX_[622] + vX_[637] * vX_[717] + vX_[367] * vX_[738] - -0.0825825 * vX_[599] - 0.000102 * vX_[561] - 0.007418 * (vX_[682] - vX_[749]);
+ vX_[19] = 0 - vX_[622];
+ vX_[59] = -3.146 * vX_[59] + 0.47422804 * vX_[110] + vX_[362] * vX_[717] + vX_[364] * vX_[738] + vX_[393] * vX_[47] + vX_[387] * vX_[729] + (vX_[383] * vX_[19]) / vX_[385] - -0.0825825 * vX_[749];
+ vX_[599] = 3.146 * vX_[599] + -0.0825825 * vX_[110] + vX_[636] * vX_[717] + vX_[362] * vX_[738] + vX_[399] * vX_[47] + vX_[398] * vX_[729] + (vX_[396] * vX_[19]) / vX_[385] - 0.47422804 * vX_[682];
+ vX_[116] = vX_[951] * vX_[641] - vX_[116] * vX_[629];
+ vX_[56] = -8.81e-05 * vX_[56] + 0.026409 * vX_[49] - 0.1104774 * vX_[116] - 0.025713 * vX_[759];
+ vX_[70] = 0.0004405 * vX_[116] + -8.81e-05 * vX_[70] + -0.000227999999999999 * vX_[910] + 0.000468 * vX_[25];
+ vX_[116] = 0.881 * vX_[116] + 0.1104774 * vX_[759] + 0.0004405 * vX_[910] + -0.1104774 * vX_[49] + 0.0004405 * vX_[25] - -8.81e-05 * (vX_[733] + vX_[72]);
+ vX_[733] = vX_[388] * vX_[628] - vX_[361] * vX_[614];
+ vX_[749] = 0.007418 * vX_[561] + 0.000102 * (0 - vX_[749]) + vX_[362] * vX_[56] + vX_[364] * vX_[70] + -0.35 * vX_[116] + vX_[415] * vX_[47] + vX_[407] * vX_[729] + (vX_[392] * vX_[19]) / vX_[385] - 0.47422804 * vX_[733] - 0.084376 * vX_[8] - 2.1e-05 * vX_[110];
+ vX_[70] = 0.002735 * vX_[561] + -0.0825825 * vX_[733] + 0.000102 * vX_[110] + vX_[365] * vX_[56] + vX_[362] * vX_[70] + vX_[407] * vX_[47] + vX_[414] * vX_[729] + (vX_[373] * vX_[19]) / vX_[385] - 0.007418 * vX_[8] - 2.1e-05 * (0 - vX_[682]);
+ vX_[733] = 0.47422804 * vX_[8] + 3.146 * vX_[733] + -0.0825825 * vX_[561] + vX_[116] + vX_[382] * vX_[47] + vX_[395] * vX_[729];
+ vX_[116] = 0.1466472 * vX_[613] + -5.1e-05 * vX_[588] + vX_[361] * vX_[749] + vX_[388] * vX_[70] + -0.08 * vX_[733] - -0.022734 * vX_[601];
+ vX_[561] = 0 - vX_[116];
+ vX_[622] = 0.5824264 * vX_[233] + -3.6e-05 * vX_[601] + -0.022734 * vX_[580] + vX_[592] * vX_[59] + vX_[409] * vX_[599] + -1 * (vX_[622] + (vX_[385] * vX_[19]) / vX_[385]) + vX_[525] * vX_[681] + vX_[565] * vX_[601] + vX_[473] * vX_[684] + vX_[462] * vX_[598] + (vX_[472] * vX_[561]) / vX_[435] - -0.123672 * vX_[588];
+ vX_[70] = -0.133138 * vX_[601] + 0.5824264 * (0 - vX_[613]) + vX_[389] * vX_[749] + vX_[361] * vX_[70] + vX_[565] * vX_[681] + vX_[434] * vX_[601] + vX_[463] * vX_[684] + vX_[437] * vX_[598] + (vX_[430] * vX_[561]) / vX_[435] - -3.6e-05 * vX_[588] - -5.1e-05 * vX_[580];
+ vX_[424] = 0.1466472 * vX_[588] + vX_[361] * vX_[59] + vX_[388] * vX_[599] + vX_[448] * vX_[681] + vX_[424] * vX_[601] + vX_[466] * vX_[684] + vX_[459] * vX_[598] + (vX_[457] * vX_[561]) / vX_[435];
+ vX_[733] = -3.44 * (0 - vX_[613]) + 0.5824264 * vX_[601] + -1 * vX_[733] + vX_[473] * vX_[681] + vX_[463] * vX_[601] + vX_[465] * vX_[684] + vX_[451] * vX_[598] + (vX_[449] * vX_[561]) / vX_[435];
+ vX_[599] = 3.44 * vX_[233] + 0.5824264 * vX_[588] + vX_[625] * vX_[59] + vX_[361] * vX_[599] + vX_[462] * vX_[681] + vX_[437] * vX_[601] + vX_[451] * vX_[684] + vX_[477] * vX_[598] + (vX_[433] * vX_[561]) / vX_[435] - 0.1466472 * vX_[580];
+ vX_[116] = (vX_[596] * vX_[733] + vX_[438] * vX_[599] + -1 * (vX_[116] + (vX_[435] * vX_[561]) / vX_[435])) / vX_[573];
+ vX_[59] = (vX_[360] * vX_[622] + vX_[441] * vX_[70] + vX_[442] * vX_[733] + vX_[611] * vX_[599] - vX_[689] * vX_[116]) / vX_[570];
+ vX_[70] = (vX_[440] * vX_[622] + vX_[360] * vX_[70] + 0.207 * vX_[424] + vX_[443] * vX_[733] + vX_[610] * vX_[599] - vX_[687] * vX_[59] - vX_[480] * vX_[116]) / vX_[572];
+ vX_[424] = (-1 * vX_[424] - vX_[932] * vX_[59] - vX_[949] * vX_[116] - vX_[946] * vX_[70]) / vX_[976];
+ vX_[622] = (vX_[597] * vX_[733] + vX_[612] * vX_[599] - vX_[913] * vX_[59] - vX_[933] * vX_[116] - vX_[722] * vX_[70] - vX_[948] * vX_[424]) / vX_[973];
+ vX_[599] = (vX_[440] * vX_[733] + vX_[359] * vX_[599] - vX_[977] * vX_[59] - vX_[945] * vX_[116] - vX_[474] * vX_[70] - vX_[984] * vX_[424] - vX_[955] * vX_[622]) / vX_[975];
+ jac[887] = - vX_[599];
+ vX_[622] = vX_[622] - vX_[986] * vX_[599];
+ jac[886] = - vX_[622];
+ vX_[424] = vX_[424] - vX_[985] * vX_[599] - vX_[919] * vX_[622];
+ jac[885] = - vX_[424];
+ vX_[70] = vX_[70] - vX_[936] * vX_[622] - vX_[947] * vX_[424] - vX_[980] * vX_[599];
+ jac[884] = - vX_[70];
+ vX_[59] = vX_[59] - vX_[938] * vX_[424] - vX_[586] * vX_[70] - vX_[935] * vX_[622] - vX_[979] * vX_[599];
+ jac[882] = vX_[574] * vX_[70] + vX_[688] * vX_[59] + vX_[937] * vX_[424] + vX_[934] * vX_[622] + vX_[978] * vX_[599] - vX_[116];
+ jac[883] = - vX_[59];
+ vX_[59] = -1 * jac[882];
+ vX_[681] = vX_[440] * jac[884] + vX_[360] * jac[883] + vX_[681];
+ vX_[601] = vX_[360] * jac[884] + vX_[441] * jac[883] + vX_[601];
+ vX_[70] = -1 * jac[885];
+ vX_[424] = 0.207 * jac[884] + vX_[70];
+ vX_[598] = vX_[610] * jac[884] + vX_[611] * jac[883] + vX_[438] * jac[882] + vX_[359] * jac[887] + vX_[612] * jac[886] + vX_[598];
+ jac[888] = (vX_[561] - vX_[435] * vX_[59] - vX_[472] * vX_[681] - vX_[430] * vX_[601] - vX_[457] * vX_[424] - vX_[449] * (vX_[443] * jac[884] + vX_[442] * jac[883] + vX_[596] * jac[882] + vX_[440] * jac[887] + vX_[597] * jac[886] + vX_[684]) - vX_[433] * vX_[598]) / vX_[435];
+ vX_[561] = -1 * vX_[681];
+ vX_[684] = vX_[59] + jac[888];
+ vX_[622] = vX_[361] * vX_[424] + vX_[625] * vX_[598] + vX_[592] * vX_[681];
+ vX_[598] = vX_[388] * vX_[424] + vX_[361] * vX_[598] + vX_[409] * vX_[681];
+ jac[889] = (vX_[19] - vX_[385] * vX_[561] - vX_[392] * (vX_[361] * vX_[684] + vX_[389] * vX_[601] + vX_[47]) - vX_[373] * (vX_[388] * vX_[684] + vX_[361] * vX_[601] + vX_[729]) - vX_[383] * vX_[622] - vX_[396] * vX_[598]) / vX_[385];
+ vX_[561] = vX_[561] + jac[889];
+ jac[890] = (vX_[755] - 0.1104774 * (vX_[362] * vX_[622] + vX_[636] * vX_[598] + vX_[637] * vX_[561]) - -0.0004405 * (vX_[364] * vX_[622] + vX_[362] * vX_[598] + vX_[367] * vX_[561]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[561] = vX_[318] * jac[884] + vX_[239] * jac[883];
+ vX_[598] = vX_[320] * jac[884] + vX_[318] * jac[883];
+ vX_[622] = 0.207 * jac[884] + jac[885];
+ vX_[755] = vX_[830] * jac[884] + vX_[831] * jac[883] + vX_[317] * jac[882] + vX_[832] * jac[887] + vX_[318] * jac[886];
+ jac[891] = (0 - vX_[314] * jac[882] - vX_[350] * vX_[561] - vX_[309] * vX_[598] - vX_[335] * vX_[622] - vX_[327] * (vX_[321] * jac[884] + vX_[319] * jac[883] + vX_[845] * jac[882] + vX_[318] * jac[887] + vX_[239] * jac[886]) - vX_[312] * vX_[755]) / vX_[314];
+ vX_[684] = jac[882] + jac[891];
+ vX_[601] = vX_[850] * vX_[622] + vX_[851] * vX_[755] + vX_[852] * vX_[561];
+ vX_[755] = vX_[267] * vX_[622] + vX_[240] * vX_[755] + vX_[289] * vX_[561];
+ jac[892] = (0 - vX_[264] * vX_[561] - vX_[271] * (vX_[287] * vX_[684] + vX_[268] * vX_[598]) - vX_[252] * (vX_[268] * vX_[684] + vX_[240] * vX_[598]) - vX_[262] * vX_[601] - vX_[275] * vX_[755]) / vX_[264];
+ vX_[561] = vX_[561] + jac[892];
+ jac[893] = (0 - 0.1104774 * (vX_[241] * vX_[601] + vX_[854] * vX_[755] + vX_[856] * vX_[561]) - -0.0004405 * (vX_[243] * vX_[601] + vX_[241] * vX_[755] + vX_[246] * vX_[561]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[561] = vX_[198] * jac[884] + vX_[128] * jac[883];
+ vX_[755] = vX_[128] * jac[884] + vX_[199] * jac[883];
+ vX_[70] = 0.207 * jac[884] + vX_[70];
+ vX_[601] = vX_[762] * jac[884] + vX_[763] * jac[883] + vX_[196] * jac[882] + vX_[764] * jac[887] + vX_[765] * jac[886];
+ jac[894] = (0 - vX_[193] * vX_[59] - vX_[230] * vX_[561] - vX_[188] * vX_[755] - vX_[215] * vX_[70] - vX_[207] * (vX_[201] * jac[884] + vX_[200] * jac[883] + vX_[701] * jac[882] + vX_[198] * jac[887] + vX_[127] * jac[886]) - vX_[191] * vX_[601]) / vX_[193];
+ vX_[684] = -1 * vX_[561];
+ vX_[59] = vX_[59] + jac[894];
+ vX_[598] = vX_[129] * vX_[70] + vX_[772] * vX_[601] + vX_[773] * vX_[561];
+ vX_[601] = vX_[149] * vX_[70] + vX_[129] * vX_[601] + vX_[167] * vX_[561];
+ jac[895] = (0 - vX_[146] * vX_[684] - 2.1e-05 * (vX_[129] * vX_[59] + vX_[150] * vX_[755]) - -0.000102 * (vX_[149] * vX_[59] + vX_[129] * vX_[755]) - vX_[144] * vX_[598] - vX_[154] * vX_[601]) / vX_[146];
+ vX_[684] = vX_[684] + jac[895];
+ jac[896] = (0 - 0.110125 * (vX_[132] * vX_[598] + vX_[782] * vX_[601] + vX_[783] * vX_[684]) - 0.000881 * (vX_[130] * vX_[598] + vX_[132] * vX_[601] + vX_[131] * vX_[684]) - 0.026181 * vX_[684]) / 0.026181;
+ vX_[684] = vX_[86] * jac[884] + vX_[24] * jac[883];
+ vX_[601] = vX_[88] * jac[884] + vX_[86] * jac[883];
+ vX_[598] = 0.207 * jac[884] + jac[885];
+ vX_[59] = vX_[649] * jac[884] + vX_[608] * jac[883] + vX_[85] * jac[882] + vX_[616] * jac[887] + vX_[86] * jac[886];
+ jac[897] = (0 - vX_[82] * jac[882] - vX_[118] * vX_[684] - vX_[77] * vX_[601] - vX_[103] * vX_[598] - vX_[95] * (vX_[89] * jac[884] + vX_[87] * jac[883] + vX_[703] * jac[882] + vX_[86] * jac[887] + vX_[24] * jac[886]) - vX_[80] * vX_[59]) / vX_[82];
+ vX_[755] = jac[882] + jac[897];
+ vX_[70] = vX_[708] * vX_[598] + vX_[709] * vX_[59] + vX_[710] * vX_[684];
+ vX_[59] = vX_[10] * vX_[598] + vX_[33] * vX_[59] + vX_[57] * vX_[684];
+ jac[898] = (0 - vX_[17] * vX_[684] - vX_[6] * (vX_[55] * vX_[755] + vX_[38] * vX_[601]) - vX_[23] * (vX_[38] * vX_[755] + vX_[33] * vX_[601]) - vX_[15] * vX_[70] - vX_[43] * vX_[59]) / vX_[17];
+ vX_[684] = vX_[684] + jac[898];
+ jac[899] = (0 - 0.1104774 * (vX_[20] * vX_[70] + vX_[712] * vX_[59] + vX_[714] * vX_[684]) - 0.0004405 * (vX_[37] * vX_[70] + vX_[20] * vX_[59] + vX_[34] * vX_[684]) - 0.026181 * vX_[684]) / 0.026181;
+ vX_[684] = vX_[624] * vX_[367] + vX_[629];
+ vX_[59] = (- vX_[367]) * x_in[26];
+ vX_[70] = vX_[637] * x_in[26];
+ vX_[755] = 0 - (vX_[624] * vX_[637] + vX_[641]);
+ vX_[601] = 0.1104774 * vX_[684] - 0.0004405 * vX_[755];
+ vX_[598] = 0 - vX_[601];
+ vX_[561] = vX_[624] + vX_[624];
+ vX_[622] = -0.881 * (0 - vX_[684]) + -8.81e-05 * vX_[632] + 0.414812462825713 * vX_[59] + 0.00185880198235362 * vX_[70] + (0.1104774 * vX_[598]) / 0.026181 - 0.0004405 * vX_[561];
+ vX_[561] = 0.881 * vX_[755] + -8.81e-05 * vX_[619] + 0.00185880198235362 * vX_[59] + 0.880992588508842 * vX_[70] + (-0.0004405 * vX_[598]) / 0.026181 - 0.1104774 * vX_[561];
+ vX_[19] = 0 - vX_[628];
+ vX_[601] = 0.47422804 * vX_[614] + 2.1e-05 * vX_[593] + (0.026181 * vX_[598]) / 0.026181 + vX_[601] + vX_[637] * vX_[622] + vX_[367] * vX_[561] - -0.0825825 * vX_[19] - 0.000102 * vX_[617];
+ vX_[729] = 0 - vX_[601];
+ vX_[602] = vX_[602] + vX_[602];
+ vX_[614] = -3.146 * (0 - vX_[614]) + vX_[362] * vX_[622] + vX_[364] * vX_[561] + vX_[393] * vX_[595] + vX_[387] * vX_[617] + vX_[419] * vX_[670] + vX_[421] * vX_[628] + (vX_[383] * vX_[729]) / vX_[385] - -0.0825825 * vX_[602];
+ vX_[19] = 3.146 * vX_[19] + vX_[636] * vX_[622] + vX_[362] * vX_[561] + vX_[399] * vX_[595] + vX_[398] * vX_[617] + vX_[421] * vX_[670] + vX_[420] * vX_[628] + (vX_[396] * vX_[729]) / vX_[385] - 0.47422804 * vX_[602];
+ vX_[561] = vX_[619] * vX_[637] - vX_[632] * vX_[367];
+ vX_[755] = -8.81e-05 * vX_[755] + -8.81e-05 * vX_[70] - 0.1104774 * vX_[561] - 0.025713 * vX_[619];
+ vX_[684] = 0.0004405 * vX_[561] + -8.81e-05 * (0 - vX_[684]) + -0.000227999999999999 * vX_[632] + 8.81e-05 * vX_[59];
+ vX_[561] = 0.881 * vX_[561] + 0.1104774 * vX_[619] + 0.0004405 * vX_[632];
+ vX_[415] = 0.007418 * vX_[617] + 0.000102 * vX_[602] + vX_[362] * vX_[755] + vX_[364] * vX_[684] + -0.35 * vX_[561] + vX_[415] * vX_[595] + vX_[407] * vX_[617] + vX_[393] * vX_[670] + vX_[399] * vX_[628] + (vX_[392] * vX_[729]) / vX_[385] - 0.084376 * vX_[593];
+ vX_[684] = 0.002735 * vX_[617] + vX_[365] * vX_[755] + vX_[362] * vX_[684] + vX_[407] * vX_[595] + vX_[414] * vX_[617] + vX_[387] * vX_[670] + vX_[398] * vX_[628] + (vX_[373] * vX_[729]) / vX_[385] - 0.007418 * vX_[593] - 2.1e-05 * vX_[602];
+ vX_[561] = 0.47422804 * vX_[593] + -0.0825825 * vX_[617] + vX_[561] + vX_[382] * vX_[595] + vX_[395] * vX_[617];
+ vX_[593] = vX_[361] * vX_[415] + vX_[388] * vX_[684] + -0.08 * vX_[561];
+ vX_[382] = 0 - vX_[593];
+ vX_[601] = vX_[592] * vX_[614] + vX_[409] * vX_[19] + -1 * (vX_[601] + (vX_[385] * vX_[729]) / vX_[385]) + (vX_[472] * vX_[382]) / vX_[435];
+ vX_[684] = vX_[389] * vX_[415] + vX_[361] * vX_[684] + (vX_[430] * vX_[382]) / vX_[435];
+ vX_[415] = vX_[361] * vX_[614] + vX_[388] * vX_[19] + (vX_[457] * vX_[382]) / vX_[435];
+ vX_[561] = -1 * vX_[561] + (vX_[449] * vX_[382]) / vX_[435];
+ vX_[19] = vX_[625] * vX_[614] + vX_[361] * vX_[19] + (vX_[433] * vX_[382]) / vX_[435];
+ vX_[593] = (vX_[596] * vX_[561] + vX_[438] * vX_[19] + -1 * (vX_[593] + (vX_[435] * vX_[382]) / vX_[435])) / vX_[573];
+ vX_[614] = (vX_[360] * vX_[601] + vX_[441] * vX_[684] + vX_[442] * vX_[561] + vX_[611] * vX_[19] - vX_[689] * vX_[593]) / vX_[570];
+ vX_[684] = (vX_[440] * vX_[601] + vX_[360] * vX_[684] + 0.207 * vX_[415] + vX_[443] * vX_[561] + vX_[610] * vX_[19] - vX_[687] * vX_[614] - vX_[480] * vX_[593]) / vX_[572];
+ vX_[415] = (-1 * vX_[415] - vX_[932] * vX_[614] - vX_[949] * vX_[593] - vX_[946] * vX_[684]) / vX_[976];
+ vX_[601] = (vX_[597] * vX_[561] + vX_[612] * vX_[19] - vX_[913] * vX_[614] - vX_[933] * vX_[593] - vX_[722] * vX_[684] - vX_[948] * vX_[415]) / vX_[973];
+ vX_[19] = (vX_[440] * vX_[561] + vX_[359] * vX_[19] - vX_[977] * vX_[614] - vX_[945] * vX_[593] - vX_[474] * vX_[684] - vX_[984] * vX_[415] - vX_[955] * vX_[601]) / vX_[975];
+ jac[923] = - vX_[19];
+ vX_[601] = vX_[601] - vX_[986] * vX_[19];
+ jac[922] = - vX_[601];
+ vX_[415] = vX_[415] - vX_[985] * vX_[19] - vX_[919] * vX_[601];
+ jac[921] = - vX_[415];
+ vX_[684] = vX_[684] - vX_[936] * vX_[601] - vX_[947] * vX_[415] - vX_[980] * vX_[19];
+ jac[920] = - vX_[684];
+ vX_[614] = vX_[614] - vX_[938] * vX_[415] - vX_[586] * vX_[684] - vX_[935] * vX_[601] - vX_[979] * vX_[19];
+ jac[918] = vX_[574] * vX_[684] + vX_[688] * vX_[614] + vX_[937] * vX_[415] + vX_[934] * vX_[601] + vX_[978] * vX_[19] - vX_[593];
+ jac[919] = - vX_[614];
+ vX_[614] = -1 * jac[918];
+ vX_[684] = vX_[440] * jac[920] + vX_[360] * jac[919];
+ vX_[415] = vX_[360] * jac[920] + vX_[441] * jac[919];
+ vX_[601] = -1 * jac[921];
+ vX_[19] = 0.207 * jac[920] + vX_[601];
+ vX_[593] = vX_[610] * jac[920] + vX_[611] * jac[919] + vX_[438] * jac[918] + vX_[359] * jac[923] + vX_[612] * jac[922];
+ jac[924] = (vX_[382] - vX_[435] * vX_[614] - vX_[472] * vX_[684] - vX_[430] * vX_[415] - vX_[457] * vX_[19] - vX_[449] * (vX_[443] * jac[920] + vX_[442] * jac[919] + vX_[596] * jac[918] + vX_[440] * jac[923] + vX_[597] * jac[922]) - vX_[433] * vX_[593]) / vX_[435];
+ vX_[382] = -1 * vX_[684];
+ vX_[561] = vX_[614] + jac[924];
+ vX_[670] = vX_[361] * vX_[19] + vX_[625] * vX_[593] + vX_[592] * vX_[684] + vX_[670];
+ vX_[593] = vX_[388] * vX_[19] + vX_[361] * vX_[593] + vX_[409] * vX_[684] + vX_[628];
+ jac[925] = (vX_[729] - vX_[385] * vX_[382] - vX_[392] * (vX_[361] * vX_[561] + vX_[389] * vX_[415] + vX_[595]) - vX_[373] * (vX_[388] * vX_[561] + vX_[361] * vX_[415] + vX_[617]) - vX_[383] * vX_[670] - vX_[396] * vX_[593]) / vX_[385];
+ vX_[382] = vX_[382] + jac[925];
+ jac[926] = (vX_[598] - 0.1104774 * (vX_[362] * vX_[670] + vX_[636] * vX_[593] + vX_[637] * vX_[382] + vX_[59]) - -0.0004405 * (vX_[364] * vX_[670] + vX_[362] * vX_[593] + vX_[367] * vX_[382] + vX_[70]) - 0.026181 * vX_[382]) / 0.026181;
+ vX_[382] = vX_[318] * jac[920] + vX_[239] * jac[919];
+ vX_[593] = vX_[320] * jac[920] + vX_[318] * jac[919];
+ vX_[670] = 0.207 * jac[920] + jac[921];
+ vX_[598] = vX_[830] * jac[920] + vX_[831] * jac[919] + vX_[317] * jac[918] + vX_[832] * jac[923] + vX_[318] * jac[922];
+ jac[927] = (0 - vX_[314] * jac[918] - vX_[350] * vX_[382] - vX_[309] * vX_[593] - vX_[335] * vX_[670] - vX_[327] * (vX_[321] * jac[920] + vX_[319] * jac[919] + vX_[845] * jac[918] + vX_[318] * jac[923] + vX_[239] * jac[922]) - vX_[312] * vX_[598]) / vX_[314];
+ vX_[70] = jac[918] + jac[927];
+ vX_[59] = vX_[850] * vX_[670] + vX_[851] * vX_[598] + vX_[852] * vX_[382];
+ vX_[598] = vX_[267] * vX_[670] + vX_[240] * vX_[598] + vX_[289] * vX_[382];
+ jac[928] = (0 - vX_[264] * vX_[382] - vX_[271] * (vX_[287] * vX_[70] + vX_[268] * vX_[593]) - vX_[252] * (vX_[268] * vX_[70] + vX_[240] * vX_[593]) - vX_[262] * vX_[59] - vX_[275] * vX_[598]) / vX_[264];
+ vX_[382] = vX_[382] + jac[928];
+ jac[929] = (0 - 0.1104774 * (vX_[241] * vX_[59] + vX_[854] * vX_[598] + vX_[856] * vX_[382]) - -0.0004405 * (vX_[243] * vX_[59] + vX_[241] * vX_[598] + vX_[246] * vX_[382]) - 0.026181 * vX_[382]) / 0.026181;
+ vX_[382] = vX_[198] * jac[920] + vX_[128] * jac[919];
+ vX_[598] = vX_[128] * jac[920] + vX_[199] * jac[919];
+ vX_[601] = 0.207 * jac[920] + vX_[601];
+ vX_[59] = vX_[762] * jac[920] + vX_[763] * jac[919] + vX_[196] * jac[918] + vX_[764] * jac[923] + vX_[765] * jac[922];
+ jac[930] = (0 - vX_[193] * vX_[614] - vX_[230] * vX_[382] - vX_[188] * vX_[598] - vX_[215] * vX_[601] - vX_[207] * (vX_[201] * jac[920] + vX_[200] * jac[919] + vX_[701] * jac[918] + vX_[198] * jac[923] + vX_[127] * jac[922]) - vX_[191] * vX_[59]) / vX_[193];
+ vX_[70] = -1 * vX_[382];
+ vX_[614] = vX_[614] + jac[930];
+ vX_[593] = vX_[129] * vX_[601] + vX_[772] * vX_[59] + vX_[773] * vX_[382];
+ vX_[59] = vX_[149] * vX_[601] + vX_[129] * vX_[59] + vX_[167] * vX_[382];
+ jac[931] = (0 - vX_[146] * vX_[70] - 2.1e-05 * (vX_[129] * vX_[614] + vX_[150] * vX_[598]) - -0.000102 * (vX_[149] * vX_[614] + vX_[129] * vX_[598]) - vX_[144] * vX_[593] - vX_[154] * vX_[59]) / vX_[146];
+ vX_[70] = vX_[70] + jac[931];
+ jac[932] = (0 - 0.110125 * (vX_[132] * vX_[593] + vX_[782] * vX_[59] + vX_[783] * vX_[70]) - 0.000881 * (vX_[130] * vX_[593] + vX_[132] * vX_[59] + vX_[131] * vX_[70]) - 0.026181 * vX_[70]) / 0.026181;
+ vX_[70] = vX_[86] * jac[920] + vX_[24] * jac[919];
+ vX_[59] = vX_[88] * jac[920] + vX_[86] * jac[919];
+ vX_[593] = 0.207 * jac[920] + jac[921];
+ vX_[614] = vX_[649] * jac[920] + vX_[608] * jac[919] + vX_[85] * jac[918] + vX_[616] * jac[923] + vX_[86] * jac[922];
+ jac[933] = (0 - vX_[82] * jac[918] - vX_[118] * vX_[70] - vX_[77] * vX_[59] - vX_[103] * vX_[593] - vX_[95] * (vX_[89] * jac[920] + vX_[87] * jac[919] + vX_[703] * jac[918] + vX_[86] * jac[923] + vX_[24] * jac[922]) - vX_[80] * vX_[614]) / vX_[82];
+ vX_[598] = jac[918] + jac[933];
+ vX_[601] = vX_[708] * vX_[593] + vX_[709] * vX_[614] + vX_[710] * vX_[70];
+ vX_[614] = vX_[10] * vX_[593] + vX_[33] * vX_[614] + vX_[57] * vX_[70];
+ jac[934] = (0 - vX_[17] * vX_[70] - vX_[6] * (vX_[55] * vX_[598] + vX_[38] * vX_[59]) - vX_[23] * (vX_[38] * vX_[598] + vX_[33] * vX_[59]) - vX_[15] * vX_[601] - vX_[43] * vX_[614]) / vX_[17];
+ vX_[70] = vX_[70] + jac[934];
+ jac[935] = (0 - 0.1104774 * (vX_[20] * vX_[601] + vX_[712] * vX_[614] + vX_[714] * vX_[70]) - 0.0004405 * (vX_[37] * vX_[601] + vX_[20] * vX_[614] + vX_[34] * vX_[70]) - 0.026181 * vX_[70]) / 0.026181;
+ vX_[70] = 0 - vX_[641];
+ vX_[614] = 0.1104774 * vX_[629] - 0.0004405 * vX_[70];
+ vX_[601] = 0 - vX_[614];
+ vX_[624] = vX_[624] + vX_[624];
+ vX_[598] = -0.881 * (0 - vX_[629]) + -8.81e-05 * vX_[632] + 0.414812462825713 * vX_[648] + 0.00185880198235362 * vX_[641] + 8.81e-05 * vX_[632] + (0.1104774 * vX_[601]) / 0.026181 - 0.0004405 * vX_[624];
+ vX_[624] = 0.881 * vX_[70] + -8.81e-05 * vX_[619] + 0.00185880198235362 * vX_[648] + 0.880992588508842 * vX_[641] + -8.81e-05 * vX_[665] + (-0.0004405 * vX_[601]) / 0.026181 - 0.1104774 * vX_[624];
+ vX_[614] = (0.026181 * vX_[601]) / 0.026181 + vX_[614] + vX_[637] * vX_[598] + vX_[367] * vX_[624];
+ vX_[59] = 0 - vX_[614];
+ vX_[593] = vX_[362] * vX_[598] + vX_[364] * vX_[624] + (vX_[383] * vX_[59]) / vX_[385];
+ vX_[624] = vX_[636] * vX_[598] + vX_[362] * vX_[624] + (vX_[396] * vX_[59]) / vX_[385];
+ vX_[70] = -8.81e-05 * vX_[70] + -8.81e-05 * vX_[641] + 0.026409 * vX_[665] - 0.025713 * vX_[619];
+ vX_[629] = -8.81e-05 * (0 - vX_[629]) + -0.000227999999999999 * vX_[632] + 8.81e-05 * vX_[648] + 0.000468 * vX_[632];
+ vX_[665] = 0.1104774 * vX_[619] + 0.0004405 * vX_[632] + -0.1104774 * vX_[665] + 0.0004405 * vX_[632];
+ vX_[632] = vX_[362] * vX_[70] + vX_[364] * vX_[629] + -0.35 * vX_[665] + (vX_[392] * vX_[59]) / vX_[385];
+ vX_[629] = vX_[365] * vX_[70] + vX_[362] * vX_[629] + (vX_[373] * vX_[59]) / vX_[385];
+ vX_[70] = vX_[361] * vX_[632] + vX_[388] * vX_[629] + -0.08 * vX_[665];
+ vX_[365] = 0 - vX_[70];
+ vX_[614] = vX_[592] * vX_[593] + vX_[409] * vX_[624] + -1 * (vX_[614] + (vX_[385] * vX_[59]) / vX_[385]) + (vX_[472] * vX_[365]) / vX_[435];
+ vX_[629] = vX_[389] * vX_[632] + vX_[361] * vX_[629] + (vX_[430] * vX_[365]) / vX_[435];
+ vX_[632] = vX_[361] * vX_[593] + vX_[388] * vX_[624] + (vX_[457] * vX_[365]) / vX_[435];
+ vX_[665] = -1 * vX_[665] + (vX_[449] * vX_[365]) / vX_[435];
+ vX_[624] = vX_[625] * vX_[593] + vX_[361] * vX_[624] + (vX_[433] * vX_[365]) / vX_[435];
+ vX_[70] = (vX_[596] * vX_[665] + vX_[438] * vX_[624] + -1 * (vX_[70] + (vX_[435] * vX_[365]) / vX_[435])) / vX_[573];
+ vX_[593] = (vX_[360] * vX_[614] + vX_[441] * vX_[629] + vX_[442] * vX_[665] + vX_[611] * vX_[624] - vX_[689] * vX_[70]) / vX_[570];
+ vX_[629] = (vX_[440] * vX_[614] + vX_[360] * vX_[629] + 0.207 * vX_[632] + vX_[443] * vX_[665] + vX_[610] * vX_[624] - vX_[687] * vX_[593] - vX_[480] * vX_[70]) / vX_[572];
+ vX_[632] = (-1 * vX_[632] - vX_[932] * vX_[593] - vX_[949] * vX_[70] - vX_[946] * vX_[629]) / vX_[976];
+ vX_[614] = (vX_[597] * vX_[665] + vX_[612] * vX_[624] - vX_[913] * vX_[593] - vX_[933] * vX_[70] - vX_[722] * vX_[629] - vX_[948] * vX_[632]) / vX_[973];
+ vX_[624] = (vX_[440] * vX_[665] + vX_[359] * vX_[624] - vX_[977] * vX_[593] - vX_[945] * vX_[70] - vX_[474] * vX_[629] - vX_[984] * vX_[632] - vX_[955] * vX_[614]) / vX_[975];
+ jac[959] = - vX_[624];
+ vX_[614] = vX_[614] - vX_[986] * vX_[624];
+ jac[958] = - vX_[614];
+ vX_[632] = vX_[632] - vX_[985] * vX_[624] - vX_[919] * vX_[614];
+ jac[957] = - vX_[632];
+ vX_[629] = vX_[629] - vX_[936] * vX_[614] - vX_[947] * vX_[632] - vX_[980] * vX_[624];
+ jac[956] = - vX_[629];
+ vX_[593] = vX_[593] - vX_[938] * vX_[632] - vX_[586] * vX_[629] - vX_[935] * vX_[614] - vX_[979] * vX_[624];
+ jac[954] = vX_[574] * vX_[629] + vX_[688] * vX_[593] + vX_[937] * vX_[632] + vX_[934] * vX_[614] + vX_[978] * vX_[624] - vX_[70];
+ jac[955] = - vX_[593];
+ vX_[593] = -1 * jac[954];
+ vX_[629] = vX_[440] * jac[956] + vX_[360] * jac[955];
+ vX_[632] = vX_[360] * jac[956] + vX_[441] * jac[955];
+ vX_[614] = -1 * jac[957];
+ vX_[624] = 0.207 * jac[956] + vX_[614];
+ vX_[70] = vX_[610] * jac[956] + vX_[611] * jac[955] + vX_[438] * jac[954] + vX_[359] * jac[959] + vX_[612] * jac[958];
+ jac[960] = (vX_[365] - vX_[435] * vX_[593] - vX_[472] * vX_[629] - vX_[430] * vX_[632] - vX_[457] * vX_[624] - vX_[449] * (vX_[443] * jac[956] + vX_[442] * jac[955] + vX_[596] * jac[954] + vX_[440] * jac[959] + vX_[597] * jac[958]) - vX_[433] * vX_[70]) / vX_[435];
+ vX_[365] = -1 * vX_[629];
+ vX_[665] = vX_[593] + jac[960];
+ vX_[619] = vX_[361] * vX_[624] + vX_[625] * vX_[70] + vX_[592] * vX_[629];
+ vX_[70] = vX_[388] * vX_[624] + vX_[361] * vX_[70] + vX_[409] * vX_[629];
+ jac[961] = (vX_[59] - vX_[385] * vX_[365] - vX_[392] * (vX_[361] * vX_[665] + vX_[389] * vX_[632]) - vX_[373] * (vX_[388] * vX_[665] + vX_[361] * vX_[632]) - vX_[383] * vX_[619] - vX_[396] * vX_[70]) / vX_[385];
+ vX_[365] = vX_[365] + jac[961];
+ jac[962] = (vX_[601] - 0.1104774 * (vX_[362] * vX_[619] + vX_[636] * vX_[70] + vX_[637] * vX_[365] + vX_[648]) - -0.0004405 * (vX_[364] * vX_[619] + vX_[362] * vX_[70] + vX_[367] * vX_[365] + vX_[641]) - 0.026181 * vX_[365]) / 0.026181;
+ vX_[365] = vX_[318] * jac[956] + vX_[239] * jac[955];
+ vX_[70] = vX_[320] * jac[956] + vX_[318] * jac[955];
+ vX_[619] = 0.207 * jac[956] + jac[957];
+ vX_[601] = vX_[830] * jac[956] + vX_[831] * jac[955] + vX_[317] * jac[954] + vX_[832] * jac[959] + vX_[318] * jac[958];
+ jac[963] = (0 - vX_[314] * jac[954] - vX_[350] * vX_[365] - vX_[309] * vX_[70] - vX_[335] * vX_[619] - vX_[327] * (vX_[321] * jac[956] + vX_[319] * jac[955] + vX_[845] * jac[954] + vX_[318] * jac[959] + vX_[239] * jac[958]) - vX_[312] * vX_[601]) / vX_[314];
+ vX_[648] = jac[954] + jac[963];
+ vX_[641] = vX_[850] * vX_[619] + vX_[851] * vX_[601] + vX_[852] * vX_[365];
+ vX_[601] = vX_[267] * vX_[619] + vX_[240] * vX_[601] + vX_[289] * vX_[365];
+ jac[964] = (0 - vX_[264] * vX_[365] - vX_[271] * (vX_[287] * vX_[648] + vX_[268] * vX_[70]) - vX_[252] * (vX_[268] * vX_[648] + vX_[240] * vX_[70]) - vX_[262] * vX_[641] - vX_[275] * vX_[601]) / vX_[264];
+ vX_[365] = vX_[365] + jac[964];
+ jac[965] = (0 - 0.1104774 * (vX_[241] * vX_[641] + vX_[854] * vX_[601] + vX_[856] * vX_[365]) - -0.0004405 * (vX_[243] * vX_[641] + vX_[241] * vX_[601] + vX_[246] * vX_[365]) - 0.026181 * vX_[365]) / 0.026181;
+ vX_[365] = vX_[198] * jac[956] + vX_[128] * jac[955];
+ vX_[601] = vX_[128] * jac[956] + vX_[199] * jac[955];
+ vX_[614] = 0.207 * jac[956] + vX_[614];
+ vX_[641] = vX_[762] * jac[956] + vX_[763] * jac[955] + vX_[196] * jac[954] + vX_[764] * jac[959] + vX_[765] * jac[958];
+ jac[966] = (0 - vX_[193] * vX_[593] - vX_[230] * vX_[365] - vX_[188] * vX_[601] - vX_[215] * vX_[614] - vX_[207] * (vX_[201] * jac[956] + vX_[200] * jac[955] + vX_[701] * jac[954] + vX_[198] * jac[959] + vX_[127] * jac[958]) - vX_[191] * vX_[641]) / vX_[193];
+ vX_[648] = -1 * vX_[365];
+ vX_[593] = vX_[593] + jac[966];
+ vX_[70] = vX_[129] * vX_[614] + vX_[772] * vX_[641] + vX_[773] * vX_[365];
+ vX_[641] = vX_[149] * vX_[614] + vX_[129] * vX_[641] + vX_[167] * vX_[365];
+ jac[967] = (0 - vX_[146] * vX_[648] - 2.1e-05 * (vX_[129] * vX_[593] + vX_[150] * vX_[601]) - -0.000102 * (vX_[149] * vX_[593] + vX_[129] * vX_[601]) - vX_[144] * vX_[70] - vX_[154] * vX_[641]) / vX_[146];
+ vX_[648] = vX_[648] + jac[967];
+ jac[968] = (0 - 0.110125 * (vX_[132] * vX_[70] + vX_[782] * vX_[641] + vX_[783] * vX_[648]) - 0.000881 * (vX_[130] * vX_[70] + vX_[132] * vX_[641] + vX_[131] * vX_[648]) - 0.026181 * vX_[648]) / 0.026181;
+ vX_[648] = vX_[86] * jac[956] + vX_[24] * jac[955];
+ vX_[641] = vX_[88] * jac[956] + vX_[86] * jac[955];
+ vX_[70] = 0.207 * jac[956] + jac[957];
+ vX_[593] = vX_[649] * jac[956] + vX_[608] * jac[955] + vX_[85] * jac[954] + vX_[616] * jac[959] + vX_[86] * jac[958];
+ jac[969] = (0 - vX_[82] * jac[954] - vX_[118] * vX_[648] - vX_[77] * vX_[641] - vX_[103] * vX_[70] - vX_[95] * (vX_[89] * jac[956] + vX_[87] * jac[955] + vX_[703] * jac[954] + vX_[86] * jac[959] + vX_[24] * jac[958]) - vX_[80] * vX_[593]) / vX_[82];
+ vX_[601] = jac[954] + jac[969];
+ vX_[614] = vX_[708] * vX_[70] + vX_[709] * vX_[593] + vX_[710] * vX_[648];
+ vX_[593] = vX_[10] * vX_[70] + vX_[33] * vX_[593] + vX_[57] * vX_[648];
+ jac[970] = (0 - vX_[17] * vX_[648] - vX_[6] * (vX_[55] * vX_[601] + vX_[38] * vX_[641]) - vX_[23] * (vX_[38] * vX_[601] + vX_[33] * vX_[641]) - vX_[15] * vX_[614] - vX_[43] * vX_[593]) / vX_[17];
+ vX_[648] = vX_[648] + jac[970];
+ jac[971] = (0 - 0.1104774 * (vX_[20] * vX_[614] + vX_[712] * vX_[593] + vX_[714] * vX_[648]) - 0.0004405 * (vX_[37] * vX_[614] + vX_[20] * vX_[593] + vX_[34] * vX_[648]) - 0.026181 * vX_[648]) / 0.026181;
+ vX_[648] = 0 - vX_[846];
+ vX_[829] = vX_[829] + vX_[829];
+ vX_[593] = vX_[842] * 0.08 + vX_[268] * vX_[847];
+ vX_[614] = vX_[842] * vX_[287] + vX_[268] * vX_[838];
+ vX_[601] = vX_[268] * vX_[839];
+ vX_[641] = -0.35 * vX_[287] + 0.08;
+ vX_[70] = vX_[241] * vX_[268] + vX_[243] * vX_[287];
+ vX_[365] = vX_[860] * vX_[641] + vX_[70] * vX_[848];
+ vX_[619] = vX_[244] * vX_[268] + vX_[241] * vX_[287];
+ vX_[665] = vX_[860] * vX_[619] + vX_[70] * vX_[844];
+ vX_[641] = vX_[844] * vX_[641] + vX_[619] * vX_[848];
+ vX_[848] = 0.1104774 * (0 - vX_[365]) + 0.025941 * vX_[665] - 0.0004405 * vX_[641];
+ vX_[632] = 0 - vX_[848];
+ vX_[59] = vX_[619] * vX_[849];
+ vX_[624] = vX_[619] * x_in[29];
+ vX_[629] = vX_[860] * vX_[70] + vX_[70] * vX_[860];
+ vX_[598] = -0.881 * vX_[365] + 0.1104774 * vX_[665] + -8.81e-05 * vX_[59] + 8.81e-05 * vX_[624] + (0.1104774 * vX_[632]) / 0.026181 - 0.0004405 * vX_[629];
+ vX_[382] = vX_[70] * vX_[849];
+ vX_[670] = (- vX_[70]) * x_in[29];
+ vX_[561] = vX_[844] * vX_[619] + vX_[619] * vX_[844];
+ vX_[665] = 0.881 * vX_[641] + -8.81e-05 * vX_[382] + 0.0004405 * vX_[665] + -8.81e-05 * vX_[670] + (-0.0004405 * vX_[632]) / 0.026181 - 0.1104774 * vX_[561];
+ vX_[847] = vX_[838] * 0.08 + vX_[287] * vX_[847];
+ vX_[415] = vX_[287] * vX_[839];
+ vX_[729] = vX_[838] * vX_[287] + vX_[287] * vX_[838];
+ vX_[595] = vX_[842] * vX_[268] + vX_[268] * vX_[842];
+ vX_[848] = 0.47422804 * (0 - vX_[593]) + 0.081641 * vX_[614] + 2.1e-05 * vX_[601] + (0.026181 * vX_[632]) / 0.026181 + vX_[848] + vX_[856] * vX_[598] + vX_[246] * vX_[665] - -0.0825825 * vX_[847] - 0.000102 * vX_[415] - 0.007418 * (vX_[729] - vX_[595]);
+ vX_[617] = 0 - vX_[848];
+ vX_[19] = (- vX_[268]) * x_in[28];
+ vX_[684] = vX_[287] * x_in[28];
+ vX_[593] = -3.146 * vX_[593] + 0.47422804 * vX_[614] + vX_[241] * vX_[598] + vX_[243] * vX_[665] + vX_[272] * vX_[19] + vX_[266] * vX_[684] + (vX_[262] * vX_[617]) / vX_[264] - -0.0825825 * vX_[595];
+ vX_[847] = 3.146 * vX_[847] + -0.0825825 * vX_[614] + vX_[854] * vX_[598] + vX_[241] * vX_[665] + vX_[278] * vX_[19] + vX_[277] * vX_[684] + (vX_[275] * vX_[617]) / vX_[264] - 0.47422804 * vX_[729];
+ vX_[619] = vX_[70] * vX_[857] - vX_[619] * vX_[863];
+ vX_[641] = -8.81e-05 * vX_[641] + 0.026409 * vX_[670] - 0.1104774 * vX_[619] - 0.025713 * vX_[382];
+ vX_[365] = 0.0004405 * vX_[619] + -8.81e-05 * vX_[365] + -0.000227999999999999 * vX_[59] + 0.000468 * vX_[624];
+ vX_[619] = 0.881 * vX_[619] + 0.1104774 * vX_[382] + 0.0004405 * vX_[59] + -0.1104774 * vX_[670] + 0.0004405 * vX_[624] - -8.81e-05 * (vX_[561] + vX_[629]);
+ vX_[561] = vX_[268] * vX_[853] - vX_[287] * vX_[855];
+ vX_[595] = 0.007418 * vX_[415] + 0.000102 * (0 - vX_[595]) + vX_[241] * vX_[641] + vX_[243] * vX_[365] + -0.35 * vX_[619] + vX_[294] * vX_[19] + vX_[286] * vX_[684] + (vX_[271] * vX_[617]) / vX_[264] - 0.47422804 * vX_[561] - 0.084376 * vX_[601] - 2.1e-05 * vX_[614];
+ vX_[365] = 0.002735 * vX_[415] + -0.0825825 * vX_[561] + 0.000102 * vX_[614] + vX_[244] * vX_[641] + vX_[241] * vX_[365] + vX_[286] * vX_[19] + vX_[293] * vX_[684] + (vX_[252] * vX_[617]) / vX_[264] - 0.007418 * vX_[601] - 2.1e-05 * (0 - vX_[729]);
+ vX_[561] = 0.47422804 * vX_[601] + 3.146 * vX_[561] + -0.0825825 * vX_[415] + vX_[619] + vX_[261] * vX_[19] + vX_[274] * vX_[684];
+ vX_[619] = 0.1466472 * vX_[833] + -5.1e-05 * vX_[826] + vX_[287] * vX_[595] + vX_[268] * vX_[365] + 0.08 * vX_[561] - 0.022734 * vX_[827];
+ vX_[415] = 0 - vX_[619];
+ vX_[848] = -0.5824264 * vX_[648] + 3.6e-05 * vX_[827] + 0.022734 * vX_[829] + (vX_[264] * vX_[617]) / vX_[264] + vX_[848] + vX_[852] * vX_[593] + vX_[289] * vX_[847] + vX_[511] * vX_[867] + vX_[556] * vX_[827] + vX_[351] * vX_[892] + vX_[340] * vX_[846] + (vX_[350] * vX_[415]) / vX_[314] - -0.123672 * vX_[826];
+ vX_[365] = -0.133138 * vX_[827] + -0.5824264 * (0 - vX_[833]) + vX_[268] * vX_[595] + vX_[240] * vX_[365] + vX_[556] * vX_[867] + vX_[313] * vX_[827] + vX_[341] * vX_[892] + vX_[316] * vX_[846] + (vX_[309] * vX_[415]) / vX_[314] - 3.6e-05 * vX_[826] - -5.1e-05 * vX_[829];
+ vX_[303] = 0.1466472 * vX_[826] + vX_[850] * vX_[593] + vX_[267] * vX_[847] + vX_[326] * vX_[867] + vX_[303] * vX_[827] + vX_[344] * vX_[892] + vX_[337] * vX_[846] + (vX_[335] * vX_[415]) / vX_[314];
+ vX_[561] = -3.44 * (0 - vX_[833]) + -0.5824264 * vX_[827] + vX_[561] + vX_[351] * vX_[867] + vX_[341] * vX_[827] + vX_[343] * vX_[892] + vX_[329] * vX_[846] + (vX_[327] * vX_[415]) / vX_[314];
+ vX_[847] = 3.44 * vX_[648] + -0.5824264 * vX_[826] + vX_[851] * vX_[593] + vX_[240] * vX_[847] + vX_[340] * vX_[867] + vX_[316] * vX_[827] + vX_[329] * vX_[892] + vX_[355] * vX_[846] + (vX_[312] * vX_[415]) / vX_[314] - 0.1466472 * vX_[829];
+ vX_[619] = ((vX_[314] * vX_[415]) / vX_[314] + vX_[619] + vX_[845] * vX_[561] + vX_[317] * vX_[847]) / vX_[573];
+ vX_[593] = (vX_[239] * vX_[848] + vX_[318] * vX_[365] + vX_[319] * vX_[561] + vX_[831] * vX_[847] - vX_[689] * vX_[619]) / vX_[570];
+ vX_[365] = (vX_[318] * vX_[848] + vX_[320] * vX_[365] + 0.207 * vX_[303] + vX_[321] * vX_[561] + vX_[830] * vX_[847] - vX_[687] * vX_[593] - vX_[480] * vX_[619]) / vX_[572];
+ vX_[303] = (vX_[303] - vX_[932] * vX_[593] - vX_[949] * vX_[619] - vX_[946] * vX_[365]) / vX_[976];
+ vX_[848] = (vX_[239] * vX_[561] + vX_[318] * vX_[847] - vX_[913] * vX_[593] - vX_[933] * vX_[619] - vX_[722] * vX_[365] - vX_[948] * vX_[303]) / vX_[973];
+ vX_[847] = (vX_[318] * vX_[561] + vX_[832] * vX_[847] - vX_[977] * vX_[593] - vX_[945] * vX_[619] - vX_[474] * vX_[365] - vX_[984] * vX_[303] - vX_[955] * vX_[848]) / vX_[975];
+ jac[995] = - vX_[847];
+ vX_[848] = vX_[848] - vX_[986] * vX_[847];
+ jac[994] = - vX_[848];
+ vX_[303] = vX_[303] - vX_[985] * vX_[847] - vX_[919] * vX_[848];
+ jac[993] = - vX_[303];
+ vX_[365] = vX_[365] - vX_[936] * vX_[848] - vX_[947] * vX_[303] - vX_[980] * vX_[847];
+ jac[992] = - vX_[365];
+ vX_[593] = vX_[593] - vX_[938] * vX_[303] - vX_[586] * vX_[365] - vX_[935] * vX_[848] - vX_[979] * vX_[847];
+ jac[990] = vX_[574] * vX_[365] + vX_[688] * vX_[593] + vX_[937] * vX_[303] + vX_[934] * vX_[848] + vX_[978] * vX_[847] - vX_[619];
+ jac[991] = - vX_[593];
+ vX_[593] = -1 * jac[990];
+ vX_[365] = vX_[440] * jac[992] + vX_[360] * jac[991];
+ vX_[303] = vX_[360] * jac[992] + vX_[441] * jac[991];
+ vX_[848] = -1 * jac[993];
+ vX_[847] = 0.207 * jac[992] + vX_[848];
+ vX_[619] = vX_[610] * jac[992] + vX_[611] * jac[991] + vX_[438] * jac[990] + vX_[359] * jac[995] + vX_[612] * jac[994];
+ jac[996] = (0 - vX_[435] * vX_[593] - vX_[472] * vX_[365] - vX_[430] * vX_[303] - vX_[457] * vX_[847] - vX_[449] * (vX_[443] * jac[992] + vX_[442] * jac[991] + vX_[596] * jac[990] + vX_[440] * jac[995] + vX_[597] * jac[994]) - vX_[433] * vX_[619]) / vX_[435];
+ vX_[561] = -1 * vX_[365];
+ vX_[829] = vX_[593] + jac[996];
+ vX_[648] = vX_[361] * vX_[847] + vX_[625] * vX_[619] + vX_[592] * vX_[365];
+ vX_[619] = vX_[388] * vX_[847] + vX_[361] * vX_[619] + vX_[409] * vX_[365];
+ jac[997] = (0 - vX_[385] * vX_[561] - vX_[392] * (vX_[361] * vX_[829] + vX_[389] * vX_[303]) - vX_[373] * (vX_[388] * vX_[829] + vX_[361] * vX_[303]) - vX_[383] * vX_[648] - vX_[396] * vX_[619]) / vX_[385];
+ vX_[561] = vX_[561] + jac[997];
+ jac[998] = (0 - 0.1104774 * (vX_[362] * vX_[648] + vX_[636] * vX_[619] + vX_[637] * vX_[561]) - -0.0004405 * (vX_[364] * vX_[648] + vX_[362] * vX_[619] + vX_[367] * vX_[561]) - 0.026181 * vX_[561]) / 0.026181;
+ vX_[867] = vX_[318] * jac[992] + vX_[239] * jac[991] + vX_[867];
+ vX_[827] = vX_[320] * jac[992] + vX_[318] * jac[991] + vX_[827];
+ vX_[561] = 0.207 * jac[992] + jac[993];
+ vX_[846] = vX_[830] * jac[992] + vX_[831] * jac[991] + vX_[317] * jac[990] + vX_[832] * jac[995] + vX_[318] * jac[994] + vX_[846];
+ jac[999] = (vX_[415] - vX_[314] * jac[990] - vX_[350] * vX_[867] - vX_[309] * vX_[827] - vX_[335] * vX_[561] - vX_[327] * (vX_[321] * jac[992] + vX_[319] * jac[991] + vX_[845] * jac[990] + vX_[318] * jac[995] + vX_[239] * jac[994] + vX_[892]) - vX_[312] * vX_[846]) / vX_[314];
+ vX_[415] = jac[990] + jac[999];
+ vX_[892] = vX_[850] * vX_[561] + vX_[851] * vX_[846] + vX_[852] * vX_[867];
+ vX_[846] = vX_[267] * vX_[561] + vX_[240] * vX_[846] + vX_[289] * vX_[867];
+ jac[1000] = (vX_[617] - vX_[264] * vX_[867] - vX_[271] * (vX_[287] * vX_[415] + vX_[268] * vX_[827] + vX_[19]) - vX_[252] * (vX_[268] * vX_[415] + vX_[240] * vX_[827] + vX_[684]) - vX_[262] * vX_[892] - vX_[275] * vX_[846]) / vX_[264];
+ vX_[867] = vX_[867] + jac[1000];
+ jac[1001] = (vX_[632] - 0.1104774 * (vX_[241] * vX_[892] + vX_[854] * vX_[846] + vX_[856] * vX_[867]) - -0.0004405 * (vX_[243] * vX_[892] + vX_[241] * vX_[846] + vX_[246] * vX_[867]) - 0.026181 * vX_[867]) / 0.026181;
+ vX_[867] = vX_[198] * jac[992] + vX_[128] * jac[991];
+ vX_[846] = vX_[128] * jac[992] + vX_[199] * jac[991];
+ vX_[848] = 0.207 * jac[992] + vX_[848];
+ vX_[892] = vX_[762] * jac[992] + vX_[763] * jac[991] + vX_[196] * jac[990] + vX_[764] * jac[995] + vX_[765] * jac[994];
+ jac[1002] = (0 - vX_[193] * vX_[593] - vX_[230] * vX_[867] - vX_[188] * vX_[846] - vX_[215] * vX_[848] - vX_[207] * (vX_[201] * jac[992] + vX_[200] * jac[991] + vX_[701] * jac[990] + vX_[198] * jac[995] + vX_[127] * jac[994]) - vX_[191] * vX_[892]) / vX_[193];
+ vX_[632] = -1 * vX_[867];
+ vX_[593] = vX_[593] + jac[1002];
+ vX_[415] = vX_[129] * vX_[848] + vX_[772] * vX_[892] + vX_[773] * vX_[867];
+ vX_[892] = vX_[149] * vX_[848] + vX_[129] * vX_[892] + vX_[167] * vX_[867];
+ jac[1003] = (0 - vX_[146] * vX_[632] - 2.1e-05 * (vX_[129] * vX_[593] + vX_[150] * vX_[846]) - -0.000102 * (vX_[149] * vX_[593] + vX_[129] * vX_[846]) - vX_[144] * vX_[415] - vX_[154] * vX_[892]) / vX_[146];
+ vX_[632] = vX_[632] + jac[1003];
+ jac[1004] = (0 - 0.110125 * (vX_[132] * vX_[415] + vX_[782] * vX_[892] + vX_[783] * vX_[632]) - 0.000881 * (vX_[130] * vX_[415] + vX_[132] * vX_[892] + vX_[131] * vX_[632]) - 0.026181 * vX_[632]) / 0.026181;
+ vX_[632] = vX_[86] * jac[992] + vX_[24] * jac[991];
+ vX_[892] = vX_[88] * jac[992] + vX_[86] * jac[991];
+ vX_[415] = 0.207 * jac[992] + jac[993];
+ vX_[593] = vX_[649] * jac[992] + vX_[608] * jac[991] + vX_[85] * jac[990] + vX_[616] * jac[995] + vX_[86] * jac[994];
+ jac[1005] = (0 - vX_[82] * jac[990] - vX_[118] * vX_[632] - vX_[77] * vX_[892] - vX_[103] * vX_[415] - vX_[95] * (vX_[89] * jac[992] + vX_[87] * jac[991] + vX_[703] * jac[990] + vX_[86] * jac[995] + vX_[24] * jac[994]) - vX_[80] * vX_[593]) / vX_[82];
+ vX_[846] = jac[990] + jac[1005];
+ vX_[848] = vX_[708] * vX_[415] + vX_[709] * vX_[593] + vX_[710] * vX_[632];
+ vX_[593] = vX_[10] * vX_[415] + vX_[33] * vX_[593] + vX_[57] * vX_[632];
+ jac[1006] = (0 - vX_[17] * vX_[632] - vX_[6] * (vX_[55] * vX_[846] + vX_[38] * vX_[892]) - vX_[23] * (vX_[38] * vX_[846] + vX_[33] * vX_[892]) - vX_[15] * vX_[848] - vX_[43] * vX_[593]) / vX_[17];
+ vX_[632] = vX_[632] + jac[1006];
+ jac[1007] = (0 - 0.1104774 * (vX_[20] * vX_[848] + vX_[712] * vX_[593] + vX_[714] * vX_[632]) - 0.0004405 * (vX_[37] * vX_[848] + vX_[20] * vX_[593] + vX_[34] * vX_[632]) - 0.026181 * vX_[632]) / 0.026181;
+ vX_[632] = vX_[849] * vX_[246] + vX_[863];
+ vX_[593] = 0 - (vX_[849] * vX_[856] + vX_[857]);
+ vX_[848] = 0.1104774 * vX_[632] - 0.0004405 * vX_[593];
+ vX_[846] = 0 - vX_[848];
+ vX_[892] = (- vX_[246]) * x_in[29];
+ vX_[415] = vX_[856] * x_in[29];
+ vX_[867] = vX_[849] + vX_[849];
+ vX_[827] = -0.881 * (0 - vX_[632]) + -8.81e-05 * vX_[844] + 0.414812462825713 * vX_[892] + 0.00185880198235362 * vX_[415] + (0.1104774 * vX_[846]) / 0.026181 - 0.0004405 * vX_[867];
+ vX_[867] = 0.881 * vX_[593] + -8.81e-05 * vX_[860] + 0.00185880198235362 * vX_[892] + 0.880992588508842 * vX_[415] + (-0.0004405 * vX_[846]) / 0.026181 - 0.1104774 * vX_[867];
+ vX_[684] = 0 - vX_[853];
+ vX_[848] = 0.47422804 * vX_[855] + 2.1e-05 * vX_[842] + (0.026181 * vX_[846]) / 0.026181 + vX_[848] + vX_[856] * vX_[827] + vX_[246] * vX_[867] - -0.0825825 * vX_[684] - 0.000102 * vX_[838];
+ vX_[19] = 0 - vX_[848];
+ vX_[839] = vX_[839] + vX_[839];
+ vX_[855] = -3.146 * (0 - vX_[855]) + vX_[241] * vX_[827] + vX_[243] * vX_[867] + vX_[272] * vX_[876] + vX_[266] * vX_[838] + vX_[298] * vX_[879] + vX_[300] * vX_[853] + (vX_[262] * vX_[19]) / vX_[264] - -0.0825825 * vX_[839];
+ vX_[684] = 3.146 * vX_[684] + vX_[854] * vX_[827] + vX_[241] * vX_[867] + vX_[278] * vX_[876] + vX_[277] * vX_[838] + vX_[300] * vX_[879] + vX_[299] * vX_[853] + (vX_[275] * vX_[19]) / vX_[264] - 0.47422804 * vX_[839];
+ vX_[867] = vX_[860] * vX_[856] - vX_[844] * vX_[246];
+ vX_[593] = -8.81e-05 * vX_[593] + -8.81e-05 * vX_[415] - 0.1104774 * vX_[867] - 0.025713 * vX_[860];
+ vX_[632] = 0.0004405 * vX_[867] + -8.81e-05 * (0 - vX_[632]) + -0.000227999999999999 * vX_[844] + 8.81e-05 * vX_[892];
+ vX_[867] = 0.881 * vX_[867] + 0.1104774 * vX_[860] + 0.0004405 * vX_[844];
+ vX_[294] = 0.007418 * vX_[838] + 0.000102 * vX_[839] + vX_[241] * vX_[593] + vX_[243] * vX_[632] + -0.35 * vX_[867] + vX_[294] * vX_[876] + vX_[286] * vX_[838] + vX_[272] * vX_[879] + vX_[278] * vX_[853] + (vX_[271] * vX_[19]) / vX_[264] - 0.084376 * vX_[842];
+ vX_[632] = 0.002735 * vX_[838] + vX_[244] * vX_[593] + vX_[241] * vX_[632] + vX_[286] * vX_[876] + vX_[293] * vX_[838] + vX_[266] * vX_[879] + vX_[277] * vX_[853] + (vX_[252] * vX_[19]) / vX_[264] - 0.007418 * vX_[842] - 2.1e-05 * vX_[839];
+ vX_[867] = 0.47422804 * vX_[842] + -0.0825825 * vX_[838] + vX_[867] + vX_[261] * vX_[876] + vX_[274] * vX_[838];
+ vX_[842] = vX_[287] * vX_[294] + vX_[268] * vX_[632] + 0.08 * vX_[867];
+ vX_[261] = 0 - vX_[842];
+ vX_[848] = (vX_[264] * vX_[19]) / vX_[264] + vX_[848] + vX_[852] * vX_[855] + vX_[289] * vX_[684] + (vX_[350] * vX_[261]) / vX_[314];
+ vX_[632] = vX_[268] * vX_[294] + vX_[240] * vX_[632] + (vX_[309] * vX_[261]) / vX_[314];
+ vX_[294] = vX_[850] * vX_[855] + vX_[267] * vX_[684] + (vX_[335] * vX_[261]) / vX_[314];
+ vX_[867] = vX_[867] + (vX_[327] * vX_[261]) / vX_[314];
+ vX_[684] = vX_[851] * vX_[855] + vX_[240] * vX_[684] + (vX_[312] * vX_[261]) / vX_[314];
+ vX_[842] = ((vX_[314] * vX_[261]) / vX_[314] + vX_[842] + vX_[845] * vX_[867] + vX_[317] * vX_[684]) / vX_[573];
+ vX_[855] = (vX_[239] * vX_[848] + vX_[318] * vX_[632] + vX_[319] * vX_[867] + vX_[831] * vX_[684] - vX_[689] * vX_[842]) / vX_[570];
+ vX_[632] = (vX_[318] * vX_[848] + vX_[320] * vX_[632] + 0.207 * vX_[294] + vX_[321] * vX_[867] + vX_[830] * vX_[684] - vX_[687] * vX_[855] - vX_[480] * vX_[842]) / vX_[572];
+ vX_[294] = (vX_[294] - vX_[932] * vX_[855] - vX_[949] * vX_[842] - vX_[946] * vX_[632]) / vX_[976];
+ vX_[848] = (vX_[239] * vX_[867] + vX_[318] * vX_[684] - vX_[913] * vX_[855] - vX_[933] * vX_[842] - vX_[722] * vX_[632] - vX_[948] * vX_[294]) / vX_[973];
+ vX_[684] = (vX_[318] * vX_[867] + vX_[832] * vX_[684] - vX_[977] * vX_[855] - vX_[945] * vX_[842] - vX_[474] * vX_[632] - vX_[984] * vX_[294] - vX_[955] * vX_[848]) / vX_[975];
+ jac[1031] = - vX_[684];
+ vX_[848] = vX_[848] - vX_[986] * vX_[684];
+ jac[1030] = - vX_[848];
+ vX_[294] = vX_[294] - vX_[985] * vX_[684] - vX_[919] * vX_[848];
+ jac[1029] = - vX_[294];
+ vX_[632] = vX_[632] - vX_[936] * vX_[848] - vX_[947] * vX_[294] - vX_[980] * vX_[684];
+ jac[1028] = - vX_[632];
+ vX_[855] = vX_[855] - vX_[938] * vX_[294] - vX_[586] * vX_[632] - vX_[935] * vX_[848] - vX_[979] * vX_[684];
+ jac[1026] = vX_[574] * vX_[632] + vX_[688] * vX_[855] + vX_[937] * vX_[294] + vX_[934] * vX_[848] + vX_[978] * vX_[684] - vX_[842];
+ jac[1027] = - vX_[855];
+ vX_[855] = -1 * jac[1026];
+ vX_[632] = vX_[440] * jac[1028] + vX_[360] * jac[1027];
+ vX_[294] = vX_[360] * jac[1028] + vX_[441] * jac[1027];
+ vX_[848] = -1 * jac[1029];
+ vX_[684] = 0.207 * jac[1028] + vX_[848];
+ vX_[842] = vX_[610] * jac[1028] + vX_[611] * jac[1027] + vX_[438] * jac[1026] + vX_[359] * jac[1031] + vX_[612] * jac[1030];
+ jac[1032] = (0 - vX_[435] * vX_[855] - vX_[472] * vX_[632] - vX_[430] * vX_[294] - vX_[457] * vX_[684] - vX_[449] * (vX_[443] * jac[1028] + vX_[442] * jac[1027] + vX_[596] * jac[1026] + vX_[440] * jac[1031] + vX_[597] * jac[1030]) - vX_[433] * vX_[842]) / vX_[435];
+ vX_[867] = -1 * vX_[632];
+ vX_[274] = vX_[855] + jac[1032];
+ vX_[593] = vX_[361] * vX_[684] + vX_[625] * vX_[842] + vX_[592] * vX_[632];
+ vX_[842] = vX_[388] * vX_[684] + vX_[361] * vX_[842] + vX_[409] * vX_[632];
+ jac[1033] = (0 - vX_[385] * vX_[867] - vX_[392] * (vX_[361] * vX_[274] + vX_[389] * vX_[294]) - vX_[373] * (vX_[388] * vX_[274] + vX_[361] * vX_[294]) - vX_[383] * vX_[593] - vX_[396] * vX_[842]) / vX_[385];
+ vX_[867] = vX_[867] + jac[1033];
+ jac[1034] = (0 - 0.1104774 * (vX_[362] * vX_[593] + vX_[636] * vX_[842] + vX_[637] * vX_[867]) - -0.0004405 * (vX_[364] * vX_[593] + vX_[362] * vX_[842] + vX_[367] * vX_[867]) - 0.026181 * vX_[867]) / 0.026181;
+ vX_[867] = vX_[318] * jac[1028] + vX_[239] * jac[1027];
+ vX_[842] = vX_[320] * jac[1028] + vX_[318] * jac[1027];
+ vX_[593] = 0.207 * jac[1028] + jac[1029];
+ vX_[274] = vX_[830] * jac[1028] + vX_[831] * jac[1027] + vX_[317] * jac[1026] + vX_[832] * jac[1031] + vX_[318] * jac[1030];
+ jac[1035] = (vX_[261] - vX_[314] * jac[1026] - vX_[350] * vX_[867] - vX_[309] * vX_[842] - vX_[335] * vX_[593] - vX_[327] * (vX_[321] * jac[1028] + vX_[319] * jac[1027] + vX_[845] * jac[1026] + vX_[318] * jac[1031] + vX_[239] * jac[1030]) - vX_[312] * vX_[274]) / vX_[314];
+ vX_[261] = jac[1026] + jac[1035];
+ vX_[879] = vX_[850] * vX_[593] + vX_[851] * vX_[274] + vX_[852] * vX_[867] + vX_[879];
+ vX_[274] = vX_[267] * vX_[593] + vX_[240] * vX_[274] + vX_[289] * vX_[867] + vX_[853];
+ jac[1036] = (vX_[19] - vX_[264] * vX_[867] - vX_[271] * (vX_[287] * vX_[261] + vX_[268] * vX_[842] + vX_[876]) - vX_[252] * (vX_[268] * vX_[261] + vX_[240] * vX_[842] + vX_[838]) - vX_[262] * vX_[879] - vX_[275] * vX_[274]) / vX_[264];
+ vX_[867] = vX_[867] + jac[1036];
+ jac[1037] = (vX_[846] - 0.1104774 * (vX_[241] * vX_[879] + vX_[854] * vX_[274] + vX_[856] * vX_[867] + vX_[892]) - -0.0004405 * (vX_[243] * vX_[879] + vX_[241] * vX_[274] + vX_[246] * vX_[867] + vX_[415]) - 0.026181 * vX_[867]) / 0.026181;
+ vX_[867] = vX_[198] * jac[1028] + vX_[128] * jac[1027];
+ vX_[274] = vX_[128] * jac[1028] + vX_[199] * jac[1027];
+ vX_[848] = 0.207 * jac[1028] + vX_[848];
+ vX_[879] = vX_[762] * jac[1028] + vX_[763] * jac[1027] + vX_[196] * jac[1026] + vX_[764] * jac[1031] + vX_[765] * jac[1030];
+ jac[1038] = (0 - vX_[193] * vX_[855] - vX_[230] * vX_[867] - vX_[188] * vX_[274] - vX_[215] * vX_[848] - vX_[207] * (vX_[201] * jac[1028] + vX_[200] * jac[1027] + vX_[701] * jac[1026] + vX_[198] * jac[1031] + vX_[127] * jac[1030]) - vX_[191] * vX_[879]) / vX_[193];
+ vX_[415] = -1 * vX_[867];
+ vX_[855] = vX_[855] + jac[1038];
+ vX_[892] = vX_[129] * vX_[848] + vX_[772] * vX_[879] + vX_[773] * vX_[867];
+ vX_[879] = vX_[149] * vX_[848] + vX_[129] * vX_[879] + vX_[167] * vX_[867];
+ jac[1039] = (0 - vX_[146] * vX_[415] - 2.1e-05 * (vX_[129] * vX_[855] + vX_[150] * vX_[274]) - -0.000102 * (vX_[149] * vX_[855] + vX_[129] * vX_[274]) - vX_[144] * vX_[892] - vX_[154] * vX_[879]) / vX_[146];
+ vX_[415] = vX_[415] + jac[1039];
+ jac[1040] = (0 - 0.110125 * (vX_[132] * vX_[892] + vX_[782] * vX_[879] + vX_[783] * vX_[415]) - 0.000881 * (vX_[130] * vX_[892] + vX_[132] * vX_[879] + vX_[131] * vX_[415]) - 0.026181 * vX_[415]) / 0.026181;
+ vX_[415] = vX_[86] * jac[1028] + vX_[24] * jac[1027];
+ vX_[879] = vX_[88] * jac[1028] + vX_[86] * jac[1027];
+ vX_[892] = 0.207 * jac[1028] + jac[1029];
+ vX_[855] = vX_[649] * jac[1028] + vX_[608] * jac[1027] + vX_[85] * jac[1026] + vX_[616] * jac[1031] + vX_[86] * jac[1030];
+ jac[1041] = (0 - vX_[82] * jac[1026] - vX_[118] * vX_[415] - vX_[77] * vX_[879] - vX_[103] * vX_[892] - vX_[95] * (vX_[89] * jac[1028] + vX_[87] * jac[1027] + vX_[703] * jac[1026] + vX_[86] * jac[1031] + vX_[24] * jac[1030]) - vX_[80] * vX_[855]) / vX_[82];
+ vX_[274] = jac[1026] + jac[1041];
+ vX_[848] = vX_[708] * vX_[892] + vX_[709] * vX_[855] + vX_[710] * vX_[415];
+ vX_[855] = vX_[10] * vX_[892] + vX_[33] * vX_[855] + vX_[57] * vX_[415];
+ jac[1042] = (0 - vX_[17] * vX_[415] - vX_[6] * (vX_[55] * vX_[274] + vX_[38] * vX_[879]) - vX_[23] * (vX_[38] * vX_[274] + vX_[33] * vX_[879]) - vX_[15] * vX_[848] - vX_[43] * vX_[855]) / vX_[17];
+ vX_[415] = vX_[415] + jac[1042];
+ jac[1043] = (0 - 0.1104774 * (vX_[20] * vX_[848] + vX_[712] * vX_[855] + vX_[714] * vX_[415]) - 0.0004405 * (vX_[37] * vX_[848] + vX_[20] * vX_[855] + vX_[34] * vX_[415]) - 0.026181 * vX_[415]) / 0.026181;
+ vX_[415] = 0 - vX_[857];
+ vX_[855] = 0.1104774 * vX_[863] - 0.0004405 * vX_[415];
+ vX_[848] = 0 - vX_[855];
+ vX_[849] = vX_[849] + vX_[849];
+ vX_[274] = -0.881 * (0 - vX_[863]) + -8.81e-05 * vX_[844] + 0.414812462825713 * vX_[870] + 0.00185880198235362 * vX_[857] + 8.81e-05 * vX_[844] + (0.1104774 * vX_[848]) / 0.026181 - 0.0004405 * vX_[849];
+ vX_[849] = 0.881 * vX_[415] + -8.81e-05 * vX_[860] + 0.00185880198235362 * vX_[870] + 0.880992588508842 * vX_[857] + -8.81e-05 * vX_[861] + (-0.0004405 * vX_[848]) / 0.026181 - 0.1104774 * vX_[849];
+ vX_[855] = (0.026181 * vX_[848]) / 0.026181 + vX_[855] + vX_[856] * vX_[274] + vX_[246] * vX_[849];
+ vX_[879] = 0 - vX_[855];
+ vX_[892] = vX_[241] * vX_[274] + vX_[243] * vX_[849] + (vX_[262] * vX_[879]) / vX_[264];
+ vX_[849] = vX_[854] * vX_[274] + vX_[241] * vX_[849] + (vX_[275] * vX_[879]) / vX_[264];
+ vX_[415] = -8.81e-05 * vX_[415] + -8.81e-05 * vX_[857] + 0.026409 * vX_[861] - 0.025713 * vX_[860];
+ vX_[863] = -8.81e-05 * (0 - vX_[863]) + -0.000227999999999999 * vX_[844] + 8.81e-05 * vX_[870] + 0.000468 * vX_[844];
+ vX_[861] = 0.1104774 * vX_[860] + 0.0004405 * vX_[844] + -0.1104774 * vX_[861] + 0.0004405 * vX_[844];
+ vX_[860] = vX_[241] * vX_[415] + vX_[243] * vX_[863] + -0.35 * vX_[861] + (vX_[271] * vX_[879]) / vX_[264];
+ vX_[863] = vX_[244] * vX_[415] + vX_[241] * vX_[863] + (vX_[252] * vX_[879]) / vX_[264];
+ vX_[415] = vX_[287] * vX_[860] + vX_[268] * vX_[863] + 0.08 * vX_[861];
+ vX_[244] = 0 - vX_[415];
+ vX_[855] = (vX_[264] * vX_[879]) / vX_[264] + vX_[855] + vX_[852] * vX_[892] + vX_[289] * vX_[849] + (vX_[350] * vX_[244]) / vX_[314];
+ vX_[863] = vX_[268] * vX_[860] + vX_[240] * vX_[863] + (vX_[309] * vX_[244]) / vX_[314];
+ vX_[860] = vX_[850] * vX_[892] + vX_[267] * vX_[849] + (vX_[335] * vX_[244]) / vX_[314];
+ vX_[861] = vX_[861] + (vX_[327] * vX_[244]) / vX_[314];
+ vX_[849] = vX_[851] * vX_[892] + vX_[240] * vX_[849] + (vX_[312] * vX_[244]) / vX_[314];
+ vX_[415] = ((vX_[314] * vX_[244]) / vX_[314] + vX_[415] + vX_[845] * vX_[861] + vX_[317] * vX_[849]) / vX_[573];
+ vX_[892] = (vX_[239] * vX_[855] + vX_[318] * vX_[863] + vX_[319] * vX_[861] + vX_[831] * vX_[849] - vX_[689] * vX_[415]) / vX_[570];
+ vX_[863] = (vX_[318] * vX_[855] + vX_[320] * vX_[863] + 0.207 * vX_[860] + vX_[321] * vX_[861] + vX_[830] * vX_[849] - vX_[687] * vX_[892] - vX_[480] * vX_[415]) / vX_[572];
+ vX_[860] = (vX_[860] - vX_[932] * vX_[892] - vX_[949] * vX_[415] - vX_[946] * vX_[863]) / vX_[976];
+ vX_[855] = (vX_[239] * vX_[861] + vX_[318] * vX_[849] - vX_[913] * vX_[892] - vX_[933] * vX_[415] - vX_[722] * vX_[863] - vX_[948] * vX_[860]) / vX_[973];
+ vX_[849] = (vX_[318] * vX_[861] + vX_[832] * vX_[849] - vX_[977] * vX_[892] - vX_[945] * vX_[415] - vX_[474] * vX_[863] - vX_[984] * vX_[860] - vX_[955] * vX_[855]) / vX_[975];
+ jac[1067] = - vX_[849];
+ vX_[855] = vX_[855] - vX_[986] * vX_[849];
+ jac[1066] = - vX_[855];
+ vX_[860] = vX_[860] - vX_[985] * vX_[849] - vX_[919] * vX_[855];
+ jac[1065] = - vX_[860];
+ vX_[863] = vX_[863] - vX_[936] * vX_[855] - vX_[947] * vX_[860] - vX_[980] * vX_[849];
+ jac[1064] = - vX_[863];
+ vX_[892] = vX_[892] - vX_[938] * vX_[860] - vX_[586] * vX_[863] - vX_[935] * vX_[855] - vX_[979] * vX_[849];
+ jac[1062] = vX_[574] * vX_[863] + vX_[688] * vX_[892] + vX_[937] * vX_[860] + vX_[934] * vX_[855] + vX_[978] * vX_[849] - vX_[415];
+ jac[1063] = - vX_[892];
+ vX_[892] = -1 * jac[1062];
+ vX_[863] = vX_[440] * jac[1064] + vX_[360] * jac[1063];
+ vX_[860] = vX_[360] * jac[1064] + vX_[441] * jac[1063];
+ vX_[855] = -1 * jac[1065];
+ vX_[849] = 0.207 * jac[1064] + vX_[855];
+ vX_[415] = vX_[610] * jac[1064] + vX_[611] * jac[1063] + vX_[438] * jac[1062] + vX_[359] * jac[1067] + vX_[612] * jac[1066];
+ jac[1068] = (0 - vX_[435] * vX_[892] - vX_[472] * vX_[863] - vX_[430] * vX_[860] - vX_[457] * vX_[849] - vX_[449] * (vX_[443] * jac[1064] + vX_[442] * jac[1063] + vX_[596] * jac[1062] + vX_[440] * jac[1067] + vX_[597] * jac[1066]) - vX_[433] * vX_[415]) / vX_[435];
+ vX_[861] = -1 * vX_[863];
+ vX_[844] = vX_[892] + jac[1068];
+ vX_[274] = vX_[361] * vX_[849] + vX_[625] * vX_[415] + vX_[592] * vX_[863];
+ vX_[415] = vX_[388] * vX_[849] + vX_[361] * vX_[415] + vX_[409] * vX_[863];
+ jac[1069] = (0 - vX_[385] * vX_[861] - vX_[392] * (vX_[361] * vX_[844] + vX_[389] * vX_[860]) - vX_[373] * (vX_[388] * vX_[844] + vX_[361] * vX_[860]) - vX_[383] * vX_[274] - vX_[396] * vX_[415]) / vX_[385];
+ vX_[861] = vX_[861] + jac[1069];
+ jac[1070] = (0 - 0.1104774 * (vX_[362] * vX_[274] + vX_[636] * vX_[415] + vX_[637] * vX_[861]) - -0.0004405 * (vX_[364] * vX_[274] + vX_[362] * vX_[415] + vX_[367] * vX_[861]) - 0.026181 * vX_[861]) / 0.026181;
+ vX_[861] = vX_[318] * jac[1064] + vX_[239] * jac[1063];
+ vX_[415] = vX_[320] * jac[1064] + vX_[318] * jac[1063];
+ vX_[274] = 0.207 * jac[1064] + jac[1065];
+ vX_[844] = vX_[830] * jac[1064] + vX_[831] * jac[1063] + vX_[317] * jac[1062] + vX_[832] * jac[1067] + vX_[318] * jac[1066];
+ jac[1071] = (vX_[244] - vX_[314] * jac[1062] - vX_[350] * vX_[861] - vX_[309] * vX_[415] - vX_[335] * vX_[274] - vX_[327] * (vX_[321] * jac[1064] + vX_[319] * jac[1063] + vX_[845] * jac[1062] + vX_[318] * jac[1067] + vX_[239] * jac[1066]) - vX_[312] * vX_[844]) / vX_[314];
+ vX_[244] = jac[1062] + jac[1071];
+ vX_[860] = vX_[850] * vX_[274] + vX_[851] * vX_[844] + vX_[852] * vX_[861];
+ vX_[844] = vX_[267] * vX_[274] + vX_[240] * vX_[844] + vX_[289] * vX_[861];
+ jac[1072] = (vX_[879] - vX_[264] * vX_[861] - vX_[271] * (vX_[287] * vX_[244] + vX_[268] * vX_[415]) - vX_[252] * (vX_[268] * vX_[244] + vX_[240] * vX_[415]) - vX_[262] * vX_[860] - vX_[275] * vX_[844]) / vX_[264];
+ vX_[861] = vX_[861] + jac[1072];
+ jac[1073] = (vX_[848] - 0.1104774 * (vX_[241] * vX_[860] + vX_[854] * vX_[844] + vX_[856] * vX_[861] + vX_[870]) - -0.0004405 * (vX_[243] * vX_[860] + vX_[241] * vX_[844] + vX_[246] * vX_[861] + vX_[857]) - 0.026181 * vX_[861]) / 0.026181;
+ vX_[861] = vX_[198] * jac[1064] + vX_[128] * jac[1063];
+ vX_[844] = vX_[128] * jac[1064] + vX_[199] * jac[1063];
+ vX_[855] = 0.207 * jac[1064] + vX_[855];
+ vX_[860] = vX_[762] * jac[1064] + vX_[763] * jac[1063] + vX_[196] * jac[1062] + vX_[764] * jac[1067] + vX_[765] * jac[1066];
+ jac[1074] = (0 - vX_[193] * vX_[892] - vX_[230] * vX_[861] - vX_[188] * vX_[844] - vX_[215] * vX_[855] - vX_[207] * (vX_[201] * jac[1064] + vX_[200] * jac[1063] + vX_[701] * jac[1062] + vX_[198] * jac[1067] + vX_[127] * jac[1066]) - vX_[191] * vX_[860]) / vX_[193];
+ vX_[848] = -1 * vX_[861];
+ vX_[892] = vX_[892] + jac[1074];
+ vX_[870] = vX_[129] * vX_[855] + vX_[772] * vX_[860] + vX_[773] * vX_[861];
+ vX_[860] = vX_[149] * vX_[855] + vX_[129] * vX_[860] + vX_[167] * vX_[861];
+ jac[1075] = (0 - vX_[146] * vX_[848] - 2.1e-05 * (vX_[129] * vX_[892] + vX_[150] * vX_[844]) - -0.000102 * (vX_[149] * vX_[892] + vX_[129] * vX_[844]) - vX_[144] * vX_[870] - vX_[154] * vX_[860]) / vX_[146];
+ vX_[848] = vX_[848] + jac[1075];
+ jac[1076] = (0 - 0.110125 * (vX_[132] * vX_[870] + vX_[782] * vX_[860] + vX_[783] * vX_[848]) - 0.000881 * (vX_[130] * vX_[870] + vX_[132] * vX_[860] + vX_[131] * vX_[848]) - 0.026181 * vX_[848]) / 0.026181;
+ vX_[848] = vX_[86] * jac[1064] + vX_[24] * jac[1063];
+ vX_[860] = vX_[88] * jac[1064] + vX_[86] * jac[1063];
+ vX_[870] = 0.207 * jac[1064] + jac[1065];
+ vX_[892] = vX_[649] * jac[1064] + vX_[608] * jac[1063] + vX_[85] * jac[1062] + vX_[616] * jac[1067] + vX_[86] * jac[1066];
+ jac[1077] = (0 - vX_[82] * jac[1062] - vX_[118] * vX_[848] - vX_[77] * vX_[860] - vX_[103] * vX_[870] - vX_[95] * (vX_[89] * jac[1064] + vX_[87] * jac[1063] + vX_[703] * jac[1062] + vX_[86] * jac[1067] + vX_[24] * jac[1066]) - vX_[80] * vX_[892]) / vX_[82];
+ vX_[844] = jac[1062] + jac[1077];
+ vX_[855] = vX_[708] * vX_[870] + vX_[709] * vX_[892] + vX_[710] * vX_[848];
+ vX_[892] = vX_[10] * vX_[870] + vX_[33] * vX_[892] + vX_[57] * vX_[848];
+ jac[1078] = (0 - vX_[17] * vX_[848] - vX_[6] * (vX_[55] * vX_[844] + vX_[38] * vX_[860]) - vX_[23] * (vX_[38] * vX_[844] + vX_[33] * vX_[860]) - vX_[15] * vX_[855] - vX_[43] * vX_[892]) / vX_[17];
+ vX_[848] = vX_[848] + jac[1078];
+ jac[1079] = (0 - 0.1104774 * (vX_[20] * vX_[855] + vX_[712] * vX_[892] + vX_[714] * vX_[848]) - 0.0004405 * (vX_[37] * vX_[855] + vX_[20] * vX_[892] + vX_[34] * vX_[848]) - 0.026181 * vX_[848]) / 0.026181;
+ vX_[848] = 0 - vX_[802];
+ vX_[761] = vX_[761] + vX_[761];
+ vX_[892] = vX_[769] * -0.08 + vX_[149] * vX_[808];
+ vX_[855] = vX_[769] * vX_[129] + vX_[149] * vX_[775];
+ vX_[844] = -0.35 * vX_[129] - 0.08;
+ vX_[860] = vX_[132] * vX_[149] + vX_[130] * vX_[129];
+ vX_[870] = vX_[779] * vX_[844] + vX_[860] * vX_[812];
+ vX_[861] = vX_[142] * vX_[149] + vX_[132] * vX_[129];
+ vX_[857] = vX_[779] * vX_[861] + vX_[860] * vX_[785];
+ vX_[844] = vX_[785] * vX_[844] + vX_[861] * vX_[812];
+ vX_[812] = 0.110125 * (0 - vX_[870]) + 0.025941 * vX_[857] - -0.000881 * vX_[844];
+ vX_[244] = 0 - vX_[812];
+ vX_[870] = -0.881 * vX_[870] + 0.110125 * vX_[857] + (0.110125 * vX_[244]) / 0.026181 - -0.000881 * (vX_[779] * vX_[860] + vX_[860] * vX_[779]);
+ vX_[844] = 0.881 * vX_[844] + -0.000881 * vX_[857] + (0.000881 * vX_[244]) / 0.026181 - 0.110125 * (vX_[785] * vX_[861] + vX_[861] * vX_[785]);
+ vX_[857] = (- vX_[149]) * x_in[31];
+ vX_[415] = vX_[129] * x_in[31];
+ vX_[879] = vX_[149] * vX_[770];
+ vX_[808] = vX_[775] * -0.08 + vX_[129] * vX_[808];
+ vX_[274] = vX_[129] * vX_[770];
+ vX_[849] = vX_[775] * vX_[129] + vX_[129] * vX_[775];
+ vX_[863] = vX_[769] * vX_[149] + vX_[149] * vX_[769];
+ vX_[812] = 0.47422804 * (0 - vX_[892]) + 0.081641 * vX_[855] + 2.1e-05 * vX_[879] + (0.026181 * vX_[244]) / 0.026181 + vX_[812] + vX_[783] * vX_[870] + vX_[131] * vX_[844] - 0.0825825 * vX_[808] - -0.000102 * vX_[274] - -0.007418 * (vX_[849] - vX_[863]);
+ vX_[867] = 0 - vX_[812];
+ vX_[892] = -3.146 * vX_[892] + 0.47422804 * vX_[855] + vX_[132] * vX_[870] + vX_[130] * vX_[844] + vX_[151] * vX_[857] + vX_[148] * vX_[415] + (vX_[144] * vX_[867]) / vX_[146] - 0.0825825 * vX_[863];
+ vX_[808] = 3.146 * vX_[808] + 0.0825825 * vX_[855] + vX_[782] * vX_[870] + vX_[132] * vX_[844] + vX_[157] * vX_[857] + vX_[156] * vX_[415] + (vX_[154] * vX_[867]) / vX_[146] - 0.47422804 * vX_[849];
+ vX_[844] = (- vX_[860]) * x_in[32];
+ vX_[870] = vX_[860] * vX_[784] - vX_[861] * vX_[786];
+ vX_[860] = vX_[860] * vX_[780];
+ vX_[846] = 0.026409 * vX_[844] - 0.110125 * vX_[870] - 0.025713 * vX_[860];
+ vX_[261] = vX_[861] * vX_[780];
+ vX_[861] = vX_[861] * x_in[32];
+ vX_[842] = -0.000227999999999999 * vX_[261] + -0.000881 * vX_[870] + 0.000468 * vX_[861];
+ vX_[861] = 0.110125 * vX_[860] + 0.881 * vX_[870] + -0.000881 * vX_[261] + -0.110125 * vX_[844] + -0.000881 * vX_[861];
+ vX_[261] = vX_[149] * vX_[774] - vX_[129] * vX_[776];
+ vX_[863] = -0.007418 * vX_[274] + -0.000102 * (0 - vX_[863]) + vX_[132] * vX_[846] + vX_[130] * vX_[842] + -0.35 * vX_[861] + vX_[173] * vX_[857] + vX_[165] * vX_[415] + (2.1e-05 * vX_[867]) / vX_[146] - 0.47422804 * vX_[261] - 0.084376 * vX_[879] - 2.1e-05 * vX_[855];
+ vX_[842] = 0.002735 * vX_[274] + 0.0825825 * vX_[261] + -0.000102 * vX_[855] + vX_[142] * vX_[846] + vX_[132] * vX_[842] + vX_[165] * vX_[857] + vX_[172] * vX_[415] + (-0.000102 * vX_[867]) / vX_[146] - -0.007418 * vX_[879] - 2.1e-05 * (0 - vX_[849]);
+ vX_[261] = 0.47422804 * vX_[879] + 3.146 * vX_[261] + 0.0825825 * vX_[274] + vX_[861] + vX_[143] * vX_[857] + vX_[153] * vX_[415];
+ vX_[861] = 0.1466472 * vX_[766] + -5.1e-05 * vX_[756] + vX_[129] * vX_[863] + vX_[149] * vX_[842] + -0.08 * vX_[261] - 0.022734 * vX_[757];
+ vX_[274] = 0 - vX_[861];
+ vX_[812] = -0.5824264 * vX_[848] + 3.6e-05 * vX_[757] + 0.022734 * vX_[761] + vX_[773] * vX_[892] + vX_[167] * vX_[808] + -1 * (vX_[812] + (vX_[146] * vX_[867]) / vX_[146]) + vX_[497] * vX_[797] + vX_[547] * vX_[757] + vX_[231] * vX_[800] + vX_[220] * vX_[802] + (vX_[230] * vX_[274]) / vX_[193] - -0.123672 * vX_[756];
+ vX_[842] = -0.133138 * vX_[757] + -0.5824264 * (0 - vX_[766]) + vX_[150] * vX_[863] + vX_[129] * vX_[842] + vX_[547] * vX_[797] + vX_[192] * vX_[757] + vX_[221] * vX_[800] + vX_[195] * vX_[802] + (vX_[188] * vX_[274]) / vX_[193] - 3.6e-05 * vX_[756] - -5.1e-05 * vX_[761];
+ vX_[182] = 0.1466472 * vX_[756] + vX_[129] * vX_[892] + vX_[149] * vX_[808] + vX_[206] * vX_[797] + vX_[182] * vX_[757] + vX_[224] * vX_[800] + vX_[217] * vX_[802] + (vX_[215] * vX_[274]) / vX_[193];
+ vX_[261] = -3.44 * (0 - vX_[766]) + -0.5824264 * vX_[757] + -1 * vX_[261] + vX_[231] * vX_[797] + vX_[221] * vX_[757] + vX_[223] * vX_[800] + vX_[209] * vX_[802] + (vX_[207] * vX_[274]) / vX_[193];
+ vX_[808] = 3.44 * vX_[848] + -0.5824264 * vX_[756] + vX_[772] * vX_[892] + vX_[129] * vX_[808] + vX_[220] * vX_[797] + vX_[195] * vX_[757] + vX_[209] * vX_[800] + vX_[235] * vX_[802] + (vX_[191] * vX_[274]) / vX_[193] - 0.1466472 * vX_[761];
+ vX_[861] = (vX_[701] * vX_[261] + vX_[196] * vX_[808] + -1 * (vX_[861] + (vX_[193] * vX_[274]) / vX_[193])) / vX_[573];
+ vX_[892] = (vX_[128] * vX_[812] + vX_[199] * vX_[842] + vX_[200] * vX_[261] + vX_[763] * vX_[808] - vX_[689] * vX_[861]) / vX_[570];
+ vX_[842] = (vX_[198] * vX_[812] + vX_[128] * vX_[842] + 0.207 * vX_[182] + vX_[201] * vX_[261] + vX_[762] * vX_[808] - vX_[687] * vX_[892] - vX_[480] * vX_[861]) / vX_[572];
+ vX_[182] = (-1 * vX_[182] - vX_[932] * vX_[892] - vX_[949] * vX_[861] - vX_[946] * vX_[842]) / vX_[976];
+ vX_[812] = (vX_[127] * vX_[261] + vX_[765] * vX_[808] - vX_[913] * vX_[892] - vX_[933] * vX_[861] - vX_[722] * vX_[842] - vX_[948] * vX_[182]) / vX_[973];
+ vX_[808] = (vX_[198] * vX_[261] + vX_[764] * vX_[808] - vX_[977] * vX_[892] - vX_[945] * vX_[861] - vX_[474] * vX_[842] - vX_[984] * vX_[182] - vX_[955] * vX_[812]) / vX_[975];
+ jac[1103] = - vX_[808];
+ vX_[812] = vX_[812] - vX_[986] * vX_[808];
+ jac[1102] = - vX_[812];
+ vX_[182] = vX_[182] - vX_[985] * vX_[808] - vX_[919] * vX_[812];
+ jac[1101] = - vX_[182];
+ vX_[842] = vX_[842] - vX_[936] * vX_[812] - vX_[947] * vX_[182] - vX_[980] * vX_[808];
+ jac[1100] = - vX_[842];
+ vX_[892] = vX_[892] - vX_[938] * vX_[182] - vX_[586] * vX_[842] - vX_[935] * vX_[812] - vX_[979] * vX_[808];
+ jac[1098] = vX_[574] * vX_[842] + vX_[688] * vX_[892] + vX_[937] * vX_[182] + vX_[934] * vX_[812] + vX_[978] * vX_[808] - vX_[861];
+ jac[1099] = - vX_[892];
+ vX_[892] = -1 * jac[1098];
+ vX_[842] = vX_[440] * jac[1100] + vX_[360] * jac[1099];
+ vX_[182] = vX_[360] * jac[1100] + vX_[441] * jac[1099];
+ vX_[812] = -1 * jac[1101];
+ vX_[808] = 0.207 * jac[1100] + vX_[812];
+ vX_[861] = vX_[610] * jac[1100] + vX_[611] * jac[1099] + vX_[438] * jac[1098] + vX_[359] * jac[1103] + vX_[612] * jac[1102];
+ jac[1104] = (0 - vX_[435] * vX_[892] - vX_[472] * vX_[842] - vX_[430] * vX_[182] - vX_[457] * vX_[808] - vX_[449] * (vX_[443] * jac[1100] + vX_[442] * jac[1099] + vX_[596] * jac[1098] + vX_[440] * jac[1103] + vX_[597] * jac[1102]) - vX_[433] * vX_[861]) / vX_[435];
+ vX_[261] = -1 * vX_[842];
+ vX_[761] = vX_[892] + jac[1104];
+ vX_[848] = vX_[361] * vX_[808] + vX_[625] * vX_[861] + vX_[592] * vX_[842];
+ vX_[861] = vX_[388] * vX_[808] + vX_[361] * vX_[861] + vX_[409] * vX_[842];
+ jac[1105] = (0 - vX_[385] * vX_[261] - vX_[392] * (vX_[361] * vX_[761] + vX_[389] * vX_[182]) - vX_[373] * (vX_[388] * vX_[761] + vX_[361] * vX_[182]) - vX_[383] * vX_[848] - vX_[396] * vX_[861]) / vX_[385];
+ vX_[261] = vX_[261] + jac[1105];
+ jac[1106] = (0 - 0.1104774 * (vX_[362] * vX_[848] + vX_[636] * vX_[861] + vX_[637] * vX_[261]) - -0.0004405 * (vX_[364] * vX_[848] + vX_[362] * vX_[861] + vX_[367] * vX_[261]) - 0.026181 * vX_[261]) / 0.026181;
+ vX_[261] = vX_[318] * jac[1100] + vX_[239] * jac[1099];
+ vX_[861] = vX_[320] * jac[1100] + vX_[318] * jac[1099];
+ vX_[848] = 0.207 * jac[1100] + jac[1101];
+ vX_[761] = vX_[830] * jac[1100] + vX_[831] * jac[1099] + vX_[317] * jac[1098] + vX_[832] * jac[1103] + vX_[318] * jac[1102];
+ jac[1107] = (0 - vX_[314] * jac[1098] - vX_[350] * vX_[261] - vX_[309] * vX_[861] - vX_[335] * vX_[848] - vX_[327] * (vX_[321] * jac[1100] + vX_[319] * jac[1099] + vX_[845] * jac[1098] + vX_[318] * jac[1103] + vX_[239] * jac[1102]) - vX_[312] * vX_[761]) / vX_[314];
+ vX_[182] = jac[1098] + jac[1107];
+ vX_[808] = vX_[850] * vX_[848] + vX_[851] * vX_[761] + vX_[852] * vX_[261];
+ vX_[761] = vX_[267] * vX_[848] + vX_[240] * vX_[761] + vX_[289] * vX_[261];
+ jac[1108] = (0 - vX_[264] * vX_[261] - vX_[271] * (vX_[287] * vX_[182] + vX_[268] * vX_[861]) - vX_[252] * (vX_[268] * vX_[182] + vX_[240] * vX_[861]) - vX_[262] * vX_[808] - vX_[275] * vX_[761]) / vX_[264];
+ vX_[261] = vX_[261] + jac[1108];
+ jac[1109] = (0 - 0.1104774 * (vX_[241] * vX_[808] + vX_[854] * vX_[761] + vX_[856] * vX_[261]) - -0.0004405 * (vX_[243] * vX_[808] + vX_[241] * vX_[761] + vX_[246] * vX_[261]) - 0.026181 * vX_[261]) / 0.026181;
+ vX_[797] = vX_[198] * jac[1100] + vX_[128] * jac[1099] + vX_[797];
+ vX_[757] = vX_[128] * jac[1100] + vX_[199] * jac[1099] + vX_[757];
+ vX_[812] = 0.207 * jac[1100] + vX_[812];
+ vX_[802] = vX_[762] * jac[1100] + vX_[763] * jac[1099] + vX_[196] * jac[1098] + vX_[764] * jac[1103] + vX_[765] * jac[1102] + vX_[802];
+ jac[1110] = (vX_[274] - vX_[193] * vX_[892] - vX_[230] * vX_[797] - vX_[188] * vX_[757] - vX_[215] * vX_[812] - vX_[207] * (vX_[201] * jac[1100] + vX_[200] * jac[1099] + vX_[701] * jac[1098] + vX_[198] * jac[1103] + vX_[127] * jac[1102] + vX_[800]) - vX_[191] * vX_[802]) / vX_[193];
+ vX_[274] = -1 * vX_[797];
+ vX_[892] = vX_[892] + jac[1110];
+ vX_[800] = vX_[129] * vX_[812] + vX_[772] * vX_[802] + vX_[773] * vX_[797];
+ vX_[802] = vX_[149] * vX_[812] + vX_[129] * vX_[802] + vX_[167] * vX_[797];
+ jac[1111] = (vX_[867] - vX_[146] * vX_[274] - 2.1e-05 * (vX_[129] * vX_[892] + vX_[150] * vX_[757] + vX_[857]) - -0.000102 * (vX_[149] * vX_[892] + vX_[129] * vX_[757] + vX_[415]) - vX_[144] * vX_[800] - vX_[154] * vX_[802]) / vX_[146];
+ vX_[274] = vX_[274] + jac[1111];
+ jac[1112] = (vX_[244] - 0.110125 * (vX_[132] * vX_[800] + vX_[782] * vX_[802] + vX_[783] * vX_[274]) - 0.000881 * (vX_[130] * vX_[800] + vX_[132] * vX_[802] + vX_[131] * vX_[274]) - 0.026181 * vX_[274]) / 0.026181;
+ vX_[274] = vX_[86] * jac[1100] + vX_[24] * jac[1099];
+ vX_[802] = vX_[88] * jac[1100] + vX_[86] * jac[1099];
+ vX_[800] = 0.207 * jac[1100] + jac[1101];
+ vX_[244] = vX_[649] * jac[1100] + vX_[608] * jac[1099] + vX_[85] * jac[1098] + vX_[616] * jac[1103] + vX_[86] * jac[1102];
+ jac[1113] = (0 - vX_[82] * jac[1098] - vX_[118] * vX_[274] - vX_[77] * vX_[802] - vX_[103] * vX_[800] - vX_[95] * (vX_[89] * jac[1100] + vX_[87] * jac[1099] + vX_[703] * jac[1098] + vX_[86] * jac[1103] + vX_[24] * jac[1102]) - vX_[80] * vX_[244]) / vX_[82];
+ vX_[892] = jac[1098] + jac[1113];
+ vX_[757] = vX_[708] * vX_[800] + vX_[709] * vX_[244] + vX_[710] * vX_[274];
+ vX_[244] = vX_[10] * vX_[800] + vX_[33] * vX_[244] + vX_[57] * vX_[274];
+ jac[1114] = (0 - vX_[17] * vX_[274] - vX_[6] * (vX_[55] * vX_[892] + vX_[38] * vX_[802]) - vX_[23] * (vX_[38] * vX_[892] + vX_[33] * vX_[802]) - vX_[15] * vX_[757] - vX_[43] * vX_[244]) / vX_[17];
+ vX_[274] = vX_[274] + jac[1114];
+ jac[1115] = (0 - 0.1104774 * (vX_[20] * vX_[757] + vX_[712] * vX_[244] + vX_[714] * vX_[274]) - 0.0004405 * (vX_[37] * vX_[757] + vX_[20] * vX_[244] + vX_[34] * vX_[274]) - 0.026181 * vX_[274]) / 0.026181;
+ vX_[274] = vX_[780] * vX_[131] + vX_[786];
+ vX_[244] = (- vX_[131]) * x_in[32];
+ vX_[757] = vX_[783] * x_in[32];
+ vX_[892] = 0 - (vX_[780] * vX_[783] + vX_[784]);
+ vX_[802] = 0.110125 * vX_[274] - -0.000881 * vX_[892];
+ vX_[800] = 0 - vX_[802];
+ vX_[867] = vX_[780] + vX_[780];
+ vX_[274] = -0.881 * (0 - vX_[274]) + 0.417781802643138 * vX_[244] + -0.00370574557885489 * vX_[757] + (0.110125 * vX_[800]) / 0.026181 - -0.000881 * vX_[867];
+ vX_[867] = 0.881 * vX_[892] + -0.00370574557885489 * vX_[244] + 0.880970354035369 * vX_[757] + (0.000881 * vX_[800]) / 0.026181 - 0.110125 * vX_[867];
+ vX_[892] = 0 - vX_[774];
+ vX_[802] = 0.47422804 * vX_[776] + 2.1e-05 * vX_[769] + (0.026181 * vX_[800]) / 0.026181 + vX_[802] + vX_[783] * vX_[274] + vX_[131] * vX_[867] - 0.0825825 * vX_[892] - -0.000102 * vX_[775];
+ vX_[415] = 0 - vX_[802];
+ vX_[770] = vX_[770] + vX_[770];
+ vX_[776] = -3.146 * (0 - vX_[776]) + vX_[132] * vX_[274] + vX_[130] * vX_[867] + vX_[151] * vX_[793] + vX_[148] * vX_[775] + vX_[177] * vX_[788] + vX_[179] * vX_[774] + (vX_[144] * vX_[415]) / vX_[146] - 0.0825825 * vX_[770];
+ vX_[892] = 3.146 * vX_[892] + vX_[782] * vX_[274] + vX_[132] * vX_[867] + vX_[157] * vX_[793] + vX_[156] * vX_[775] + vX_[179] * vX_[788] + vX_[178] * vX_[774] + (vX_[154] * vX_[415]) / vX_[146] - 0.47422804 * vX_[770];
+ vX_[867] = vX_[779] * vX_[783] - vX_[785] * vX_[131];
+ vX_[274] = 0 - 0.110125 * vX_[867] - 0.025713 * vX_[779];
+ vX_[179] = -0.000227999999999999 * vX_[785] + -0.000881 * vX_[867];
+ vX_[867] = 0.110125 * vX_[779] + 0.881 * vX_[867] + -0.000881 * vX_[785];
+ vX_[173] = -0.007418 * vX_[775] + -0.000102 * vX_[770] + vX_[132] * vX_[274] + vX_[130] * vX_[179] + -0.35 * vX_[867] + vX_[173] * vX_[793] + vX_[165] * vX_[775] + vX_[151] * vX_[788] + vX_[157] * vX_[774] + (2.1e-05 * vX_[415]) / vX_[146] - 0.084376 * vX_[769];
+ vX_[179] = 0.002735 * vX_[775] + vX_[142] * vX_[274] + vX_[132] * vX_[179] + vX_[165] * vX_[793] + vX_[172] * vX_[775] + vX_[148] * vX_[788] + vX_[156] * vX_[774] + (-0.000102 * vX_[415]) / vX_[146] - -0.007418 * vX_[769] - 2.1e-05 * vX_[770];
+ vX_[867] = 0.47422804 * vX_[769] + 0.0825825 * vX_[775] + vX_[867] + vX_[143] * vX_[793] + vX_[153] * vX_[775];
+ vX_[769] = vX_[129] * vX_[173] + vX_[149] * vX_[179] + -0.08 * vX_[867];
+ vX_[143] = 0 - vX_[769];
+ vX_[802] = vX_[773] * vX_[776] + vX_[167] * vX_[892] + -1 * (vX_[802] + (vX_[146] * vX_[415]) / vX_[146]) + (vX_[230] * vX_[143]) / vX_[193];
+ vX_[179] = vX_[150] * vX_[173] + vX_[129] * vX_[179] + (vX_[188] * vX_[143]) / vX_[193];
+ vX_[173] = vX_[129] * vX_[776] + vX_[149] * vX_[892] + (vX_[215] * vX_[143]) / vX_[193];
+ vX_[867] = -1 * vX_[867] + (vX_[207] * vX_[143]) / vX_[193];
+ vX_[892] = vX_[772] * vX_[776] + vX_[129] * vX_[892] + (vX_[191] * vX_[143]) / vX_[193];
+ vX_[769] = (vX_[701] * vX_[867] + vX_[196] * vX_[892] + -1 * (vX_[769] + (vX_[193] * vX_[143]) / vX_[193])) / vX_[573];
+ vX_[776] = (vX_[128] * vX_[802] + vX_[199] * vX_[179] + vX_[200] * vX_[867] + vX_[763] * vX_[892] - vX_[689] * vX_[769]) / vX_[570];
+ vX_[179] = (vX_[198] * vX_[802] + vX_[128] * vX_[179] + 0.207 * vX_[173] + vX_[201] * vX_[867] + vX_[762] * vX_[892] - vX_[687] * vX_[776] - vX_[480] * vX_[769]) / vX_[572];
+ vX_[173] = (-1 * vX_[173] - vX_[932] * vX_[776] - vX_[949] * vX_[769] - vX_[946] * vX_[179]) / vX_[976];
+ vX_[802] = (vX_[127] * vX_[867] + vX_[765] * vX_[892] - vX_[913] * vX_[776] - vX_[933] * vX_[769] - vX_[722] * vX_[179] - vX_[948] * vX_[173]) / vX_[973];
+ vX_[892] = (vX_[198] * vX_[867] + vX_[764] * vX_[892] - vX_[977] * vX_[776] - vX_[945] * vX_[769] - vX_[474] * vX_[179] - vX_[984] * vX_[173] - vX_[955] * vX_[802]) / vX_[975];
+ jac[1139] = - vX_[892];
+ vX_[802] = vX_[802] - vX_[986] * vX_[892];
+ jac[1138] = - vX_[802];
+ vX_[173] = vX_[173] - vX_[985] * vX_[892] - vX_[919] * vX_[802];
+ jac[1137] = - vX_[173];
+ vX_[179] = vX_[179] - vX_[936] * vX_[802] - vX_[947] * vX_[173] - vX_[980] * vX_[892];
+ jac[1136] = - vX_[179];
+ vX_[776] = vX_[776] - vX_[938] * vX_[173] - vX_[586] * vX_[179] - vX_[935] * vX_[802] - vX_[979] * vX_[892];
+ jac[1134] = vX_[574] * vX_[179] + vX_[688] * vX_[776] + vX_[937] * vX_[173] + vX_[934] * vX_[802] + vX_[978] * vX_[892] - vX_[769];
+ jac[1135] = - vX_[776];
+ vX_[776] = -1 * jac[1134];
+ vX_[179] = vX_[440] * jac[1136] + vX_[360] * jac[1135];
+ vX_[173] = vX_[360] * jac[1136] + vX_[441] * jac[1135];
+ vX_[802] = -1 * jac[1137];
+ vX_[892] = 0.207 * jac[1136] + vX_[802];
+ vX_[769] = vX_[610] * jac[1136] + vX_[611] * jac[1135] + vX_[438] * jac[1134] + vX_[359] * jac[1139] + vX_[612] * jac[1138];
+ jac[1140] = (0 - vX_[435] * vX_[776] - vX_[472] * vX_[179] - vX_[430] * vX_[173] - vX_[457] * vX_[892] - vX_[449] * (vX_[443] * jac[1136] + vX_[442] * jac[1135] + vX_[596] * jac[1134] + vX_[440] * jac[1139] + vX_[597] * jac[1138]) - vX_[433] * vX_[769]) / vX_[435];
+ vX_[867] = -1 * vX_[179];
+ vX_[153] = vX_[776] + jac[1140];
+ vX_[274] = vX_[361] * vX_[892] + vX_[625] * vX_[769] + vX_[592] * vX_[179];
+ vX_[769] = vX_[388] * vX_[892] + vX_[361] * vX_[769] + vX_[409] * vX_[179];
+ jac[1141] = (0 - vX_[385] * vX_[867] - vX_[392] * (vX_[361] * vX_[153] + vX_[389] * vX_[173]) - vX_[373] * (vX_[388] * vX_[153] + vX_[361] * vX_[173]) - vX_[383] * vX_[274] - vX_[396] * vX_[769]) / vX_[385];
+ vX_[867] = vX_[867] + jac[1141];
+ jac[1142] = (0 - 0.1104774 * (vX_[362] * vX_[274] + vX_[636] * vX_[769] + vX_[637] * vX_[867]) - -0.0004405 * (vX_[364] * vX_[274] + vX_[362] * vX_[769] + vX_[367] * vX_[867]) - 0.026181 * vX_[867]) / 0.026181;
+ vX_[867] = vX_[318] * jac[1136] + vX_[239] * jac[1135];
+ vX_[769] = vX_[320] * jac[1136] + vX_[318] * jac[1135];
+ vX_[274] = 0.207 * jac[1136] + jac[1137];
+ vX_[153] = vX_[830] * jac[1136] + vX_[831] * jac[1135] + vX_[317] * jac[1134] + vX_[832] * jac[1139] + vX_[318] * jac[1138];
+ jac[1143] = (0 - vX_[314] * jac[1134] - vX_[350] * vX_[867] - vX_[309] * vX_[769] - vX_[335] * vX_[274] - vX_[327] * (vX_[321] * jac[1136] + vX_[319] * jac[1135] + vX_[845] * jac[1134] + vX_[318] * jac[1139] + vX_[239] * jac[1138]) - vX_[312] * vX_[153]) / vX_[314];
+ vX_[173] = jac[1134] + jac[1143];
+ vX_[892] = vX_[850] * vX_[274] + vX_[851] * vX_[153] + vX_[852] * vX_[867];
+ vX_[153] = vX_[267] * vX_[274] + vX_[240] * vX_[153] + vX_[289] * vX_[867];
+ jac[1144] = (0 - vX_[264] * vX_[867] - vX_[271] * (vX_[287] * vX_[173] + vX_[268] * vX_[769]) - vX_[252] * (vX_[268] * vX_[173] + vX_[240] * vX_[769]) - vX_[262] * vX_[892] - vX_[275] * vX_[153]) / vX_[264];
+ vX_[867] = vX_[867] + jac[1144];
+ jac[1145] = (0 - 0.1104774 * (vX_[241] * vX_[892] + vX_[854] * vX_[153] + vX_[856] * vX_[867]) - -0.0004405 * (vX_[243] * vX_[892] + vX_[241] * vX_[153] + vX_[246] * vX_[867]) - 0.026181 * vX_[867]) / 0.026181;
+ vX_[867] = vX_[198] * jac[1136] + vX_[128] * jac[1135];
+ vX_[153] = vX_[128] * jac[1136] + vX_[199] * jac[1135];
+ vX_[802] = 0.207 * jac[1136] + vX_[802];
+ vX_[892] = vX_[762] * jac[1136] + vX_[763] * jac[1135] + vX_[196] * jac[1134] + vX_[764] * jac[1139] + vX_[765] * jac[1138];
+ jac[1146] = (vX_[143] - vX_[193] * vX_[776] - vX_[230] * vX_[867] - vX_[188] * vX_[153] - vX_[215] * vX_[802] - vX_[207] * (vX_[201] * jac[1136] + vX_[200] * jac[1135] + vX_[701] * jac[1134] + vX_[198] * jac[1139] + vX_[127] * jac[1138]) - vX_[191] * vX_[892]) / vX_[193];
+ vX_[143] = -1 * vX_[867];
+ vX_[776] = vX_[776] + jac[1146];
+ vX_[788] = vX_[129] * vX_[802] + vX_[772] * vX_[892] + vX_[773] * vX_[867] + vX_[788];
+ vX_[892] = vX_[149] * vX_[802] + vX_[129] * vX_[892] + vX_[167] * vX_[867] + vX_[774];
+ jac[1147] = (vX_[415] - vX_[146] * vX_[143] - 2.1e-05 * (vX_[129] * vX_[776] + vX_[150] * vX_[153] + vX_[793]) - -0.000102 * (vX_[149] * vX_[776] + vX_[129] * vX_[153] + vX_[775]) - vX_[144] * vX_[788] - vX_[154] * vX_[892]) / vX_[146];
+ vX_[143] = vX_[143] + jac[1147];
+ jac[1148] = (vX_[800] - 0.110125 * (vX_[132] * vX_[788] + vX_[782] * vX_[892] + vX_[783] * vX_[143] + vX_[244]) - 0.000881 * (vX_[130] * vX_[788] + vX_[132] * vX_[892] + vX_[131] * vX_[143] + vX_[757]) - 0.026181 * vX_[143]) / 0.026181;
+ vX_[143] = vX_[86] * jac[1136] + vX_[24] * jac[1135];
+ vX_[892] = vX_[88] * jac[1136] + vX_[86] * jac[1135];
+ vX_[788] = 0.207 * jac[1136] + jac[1137];
+ vX_[800] = vX_[649] * jac[1136] + vX_[608] * jac[1135] + vX_[85] * jac[1134] + vX_[616] * jac[1139] + vX_[86] * jac[1138];
+ jac[1149] = (0 - vX_[82] * jac[1134] - vX_[118] * vX_[143] - vX_[77] * vX_[892] - vX_[103] * vX_[788] - vX_[95] * (vX_[89] * jac[1136] + vX_[87] * jac[1135] + vX_[703] * jac[1134] + vX_[86] * jac[1139] + vX_[24] * jac[1138]) - vX_[80] * vX_[800]) / vX_[82];
+ vX_[757] = jac[1134] + jac[1149];
+ vX_[244] = vX_[708] * vX_[788] + vX_[709] * vX_[800] + vX_[710] * vX_[143];
+ vX_[800] = vX_[10] * vX_[788] + vX_[33] * vX_[800] + vX_[57] * vX_[143];
+ jac[1150] = (0 - vX_[17] * vX_[143] - vX_[6] * (vX_[55] * vX_[757] + vX_[38] * vX_[892]) - vX_[23] * (vX_[38] * vX_[757] + vX_[33] * vX_[892]) - vX_[15] * vX_[244] - vX_[43] * vX_[800]) / vX_[17];
+ vX_[143] = vX_[143] + jac[1150];
+ jac[1151] = (0 - 0.1104774 * (vX_[20] * vX_[244] + vX_[712] * vX_[800] + vX_[714] * vX_[143]) - 0.0004405 * (vX_[37] * vX_[244] + vX_[20] * vX_[800] + vX_[34] * vX_[143]) - 0.026181 * vX_[143]) / 0.026181;
+ vX_[143] = 0 - vX_[784];
+ vX_[800] = 0.110125 * vX_[786] - -0.000881 * vX_[143];
+ vX_[244] = 0 - vX_[800];
+ vX_[780] = vX_[780] + vX_[780];
+ vX_[786] = -0.881 * (0 - vX_[786]) + 0.417781802643138 * vX_[818] + -0.00370574557885489 * vX_[784] + (0.110125 * vX_[244]) / 0.026181 - -0.000881 * vX_[780];
+ vX_[780] = 0.881 * vX_[143] + -0.00370574557885489 * vX_[818] + 0.880970354035369 * vX_[784] + (0.000881 * vX_[244]) / 0.026181 - 0.110125 * vX_[780];
+ vX_[800] = (0.026181 * vX_[244]) / 0.026181 + vX_[800] + vX_[783] * vX_[786] + vX_[131] * vX_[780];
+ vX_[143] = 0 - vX_[800];
+ vX_[757] = vX_[132] * vX_[786] + vX_[130] * vX_[780] + (vX_[144] * vX_[143]) / vX_[146];
+ vX_[780] = vX_[782] * vX_[786] + vX_[132] * vX_[780] + (vX_[154] * vX_[143]) / vX_[146];
+ vX_[786] = 0.026409 * vX_[789] - 0.025713 * vX_[779];
+ vX_[892] = -0.000227999999999999 * vX_[785] + 0.000468 * vX_[785];
+ vX_[789] = 0.110125 * vX_[779] + -0.000881 * vX_[785] + -0.110125 * vX_[789] + -0.000881 * vX_[785];
+ vX_[785] = vX_[132] * vX_[786] + vX_[130] * vX_[892] + -0.35 * vX_[789] + (2.1e-05 * vX_[143]) / vX_[146];
+ vX_[892] = vX_[142] * vX_[786] + vX_[132] * vX_[892] + (-0.000102 * vX_[143]) / vX_[146];
+ vX_[786] = vX_[129] * vX_[785] + vX_[149] * vX_[892] + -0.08 * vX_[789];
+ vX_[142] = 0 - vX_[786];
+ vX_[800] = vX_[773] * vX_[757] + vX_[167] * vX_[780] + -1 * (vX_[800] + (vX_[146] * vX_[143]) / vX_[146]) + (vX_[230] * vX_[142]) / vX_[193];
+ vX_[892] = vX_[150] * vX_[785] + vX_[129] * vX_[892] + (vX_[188] * vX_[142]) / vX_[193];
+ vX_[785] = vX_[129] * vX_[757] + vX_[149] * vX_[780] + (vX_[215] * vX_[142]) / vX_[193];
+ vX_[789] = -1 * vX_[789] + (vX_[207] * vX_[142]) / vX_[193];
+ vX_[780] = vX_[772] * vX_[757] + vX_[129] * vX_[780] + (vX_[191] * vX_[142]) / vX_[193];
+ vX_[786] = (vX_[701] * vX_[789] + vX_[196] * vX_[780] + -1 * (vX_[786] + (vX_[193] * vX_[142]) / vX_[193])) / vX_[573];
+ vX_[757] = (vX_[128] * vX_[800] + vX_[199] * vX_[892] + vX_[200] * vX_[789] + vX_[763] * vX_[780] - vX_[689] * vX_[786]) / vX_[570];
+ vX_[892] = (vX_[198] * vX_[800] + vX_[128] * vX_[892] + 0.207 * vX_[785] + vX_[201] * vX_[789] + vX_[762] * vX_[780] - vX_[687] * vX_[757] - vX_[480] * vX_[786]) / vX_[572];
+ vX_[785] = (-1 * vX_[785] - vX_[932] * vX_[757] - vX_[949] * vX_[786] - vX_[946] * vX_[892]) / vX_[976];
+ vX_[800] = (vX_[127] * vX_[789] + vX_[765] * vX_[780] - vX_[913] * vX_[757] - vX_[933] * vX_[786] - vX_[722] * vX_[892] - vX_[948] * vX_[785]) / vX_[973];
+ vX_[780] = (vX_[198] * vX_[789] + vX_[764] * vX_[780] - vX_[977] * vX_[757] - vX_[945] * vX_[786] - vX_[474] * vX_[892] - vX_[984] * vX_[785] - vX_[955] * vX_[800]) / vX_[975];
+ jac[1175] = - vX_[780];
+ vX_[800] = vX_[800] - vX_[986] * vX_[780];
+ jac[1174] = - vX_[800];
+ vX_[785] = vX_[785] - vX_[985] * vX_[780] - vX_[919] * vX_[800];
+ jac[1173] = - vX_[785];
+ vX_[892] = vX_[892] - vX_[936] * vX_[800] - vX_[947] * vX_[785] - vX_[980] * vX_[780];
+ jac[1172] = - vX_[892];
+ vX_[757] = vX_[757] - vX_[938] * vX_[785] - vX_[586] * vX_[892] - vX_[935] * vX_[800] - vX_[979] * vX_[780];
+ jac[1170] = vX_[574] * vX_[892] + vX_[688] * vX_[757] + vX_[937] * vX_[785] + vX_[934] * vX_[800] + vX_[978] * vX_[780] - vX_[786];
+ jac[1171] = - vX_[757];
+ vX_[757] = -1 * jac[1170];
+ vX_[892] = vX_[440] * jac[1172] + vX_[360] * jac[1171];
+ vX_[785] = vX_[360] * jac[1172] + vX_[441] * jac[1171];
+ vX_[800] = -1 * jac[1173];
+ vX_[780] = 0.207 * jac[1172] + vX_[800];
+ vX_[786] = vX_[610] * jac[1172] + vX_[611] * jac[1171] + vX_[438] * jac[1170] + vX_[359] * jac[1175] + vX_[612] * jac[1174];
+ jac[1176] = (0 - vX_[435] * vX_[757] - vX_[472] * vX_[892] - vX_[430] * vX_[785] - vX_[457] * vX_[780] - vX_[449] * (vX_[443] * jac[1172] + vX_[442] * jac[1171] + vX_[596] * jac[1170] + vX_[440] * jac[1175] + vX_[597] * jac[1174]) - vX_[433] * vX_[786]) / vX_[435];
+ vX_[789] = -1 * vX_[892];
+ vX_[779] = vX_[757] + jac[1176];
+ vX_[788] = vX_[361] * vX_[780] + vX_[625] * vX_[786] + vX_[592] * vX_[892];
+ vX_[786] = vX_[388] * vX_[780] + vX_[361] * vX_[786] + vX_[409] * vX_[892];
+ jac[1177] = (0 - vX_[385] * vX_[789] - vX_[392] * (vX_[361] * vX_[779] + vX_[389] * vX_[785]) - vX_[373] * (vX_[388] * vX_[779] + vX_[361] * vX_[785]) - vX_[383] * vX_[788] - vX_[396] * vX_[786]) / vX_[385];
+ vX_[789] = vX_[789] + jac[1177];
+ jac[1178] = (0 - 0.1104774 * (vX_[362] * vX_[788] + vX_[636] * vX_[786] + vX_[637] * vX_[789]) - -0.0004405 * (vX_[364] * vX_[788] + vX_[362] * vX_[786] + vX_[367] * vX_[789]) - 0.026181 * vX_[789]) / 0.026181;
+ vX_[789] = vX_[318] * jac[1172] + vX_[239] * jac[1171];
+ vX_[786] = vX_[320] * jac[1172] + vX_[318] * jac[1171];
+ vX_[788] = 0.207 * jac[1172] + jac[1173];
+ vX_[779] = vX_[830] * jac[1172] + vX_[831] * jac[1171] + vX_[317] * jac[1170] + vX_[832] * jac[1175] + vX_[318] * jac[1174];
+ jac[1179] = (0 - vX_[314] * jac[1170] - vX_[350] * vX_[789] - vX_[309] * vX_[786] - vX_[335] * vX_[788] - vX_[327] * (vX_[321] * jac[1172] + vX_[319] * jac[1171] + vX_[845] * jac[1170] + vX_[318] * jac[1175] + vX_[239] * jac[1174]) - vX_[312] * vX_[779]) / vX_[314];
+ vX_[785] = jac[1170] + jac[1179];
+ vX_[780] = vX_[850] * vX_[788] + vX_[851] * vX_[779] + vX_[852] * vX_[789];
+ vX_[779] = vX_[267] * vX_[788] + vX_[240] * vX_[779] + vX_[289] * vX_[789];
+ jac[1180] = (0 - vX_[264] * vX_[789] - vX_[271] * (vX_[287] * vX_[785] + vX_[268] * vX_[786]) - vX_[252] * (vX_[268] * vX_[785] + vX_[240] * vX_[786]) - vX_[262] * vX_[780] - vX_[275] * vX_[779]) / vX_[264];
+ vX_[789] = vX_[789] + jac[1180];
+ jac[1181] = (0 - 0.1104774 * (vX_[241] * vX_[780] + vX_[854] * vX_[779] + vX_[856] * vX_[789]) - -0.0004405 * (vX_[243] * vX_[780] + vX_[241] * vX_[779] + vX_[246] * vX_[789]) - 0.026181 * vX_[789]) / 0.026181;
+ vX_[789] = vX_[198] * jac[1172] + vX_[128] * jac[1171];
+ vX_[779] = vX_[128] * jac[1172] + vX_[199] * jac[1171];
+ vX_[800] = 0.207 * jac[1172] + vX_[800];
+ vX_[780] = vX_[762] * jac[1172] + vX_[763] * jac[1171] + vX_[196] * jac[1170] + vX_[764] * jac[1175] + vX_[765] * jac[1174];
+ jac[1182] = (vX_[142] - vX_[193] * vX_[757] - vX_[230] * vX_[789] - vX_[188] * vX_[779] - vX_[215] * vX_[800] - vX_[207] * (vX_[201] * jac[1172] + vX_[200] * jac[1171] + vX_[701] * jac[1170] + vX_[198] * jac[1175] + vX_[127] * jac[1174]) - vX_[191] * vX_[780]) / vX_[193];
+ vX_[142] = -1 * vX_[789];
+ vX_[757] = vX_[757] + jac[1182];
+ vX_[785] = vX_[129] * vX_[800] + vX_[772] * vX_[780] + vX_[773] * vX_[789];
+ vX_[780] = vX_[149] * vX_[800] + vX_[129] * vX_[780] + vX_[167] * vX_[789];
+ jac[1183] = (vX_[143] - vX_[146] * vX_[142] - 2.1e-05 * (vX_[129] * vX_[757] + vX_[150] * vX_[779]) - -0.000102 * (vX_[149] * vX_[757] + vX_[129] * vX_[779]) - vX_[144] * vX_[785] - vX_[154] * vX_[780]) / vX_[146];
+ vX_[142] = vX_[142] + jac[1183];
+ jac[1184] = (vX_[244] - 0.110125 * (vX_[132] * vX_[785] + vX_[782] * vX_[780] + vX_[783] * vX_[142] + vX_[818]) - 0.000881 * (vX_[130] * vX_[785] + vX_[132] * vX_[780] + vX_[131] * vX_[142] + vX_[784]) - 0.026181 * vX_[142]) / 0.026181;
+ vX_[142] = vX_[86] * jac[1172] + vX_[24] * jac[1171];
+ vX_[780] = vX_[88] * jac[1172] + vX_[86] * jac[1171];
+ vX_[785] = 0.207 * jac[1172] + jac[1173];
+ vX_[244] = vX_[649] * jac[1172] + vX_[608] * jac[1171] + vX_[85] * jac[1170] + vX_[616] * jac[1175] + vX_[86] * jac[1174];
+ jac[1185] = (0 - vX_[82] * jac[1170] - vX_[118] * vX_[142] - vX_[77] * vX_[780] - vX_[103] * vX_[785] - vX_[95] * (vX_[89] * jac[1172] + vX_[87] * jac[1171] + vX_[703] * jac[1170] + vX_[86] * jac[1175] + vX_[24] * jac[1174]) - vX_[80] * vX_[244]) / vX_[82];
+ vX_[818] = jac[1170] + jac[1185];
+ vX_[784] = vX_[708] * vX_[785] + vX_[709] * vX_[244] + vX_[710] * vX_[142];
+ vX_[244] = vX_[10] * vX_[785] + vX_[33] * vX_[244] + vX_[57] * vX_[142];
+ jac[1186] = (0 - vX_[17] * vX_[142] - vX_[6] * (vX_[55] * vX_[818] + vX_[38] * vX_[780]) - vX_[23] * (vX_[38] * vX_[818] + vX_[33] * vX_[780]) - vX_[15] * vX_[784] - vX_[43] * vX_[244]) / vX_[17];
+ vX_[142] = vX_[142] + jac[1186];
+ jac[1187] = (0 - 0.1104774 * (vX_[20] * vX_[784] + vX_[712] * vX_[244] + vX_[714] * vX_[142]) - 0.0004405 * (vX_[37] * vX_[784] + vX_[20] * vX_[244] + vX_[34] * vX_[142]) - 0.026181 * vX_[142]) / 0.026181;
+ vX_[142] = 0 - vX_[704];
+ vX_[640] = vX_[640] + vX_[640];
+ vX_[244] = vX_[700] * 0.08 + vX_[38] * vX_[705];
+ vX_[784] = vX_[700] * vX_[55] + vX_[38] * vX_[696];
+ vX_[818] = vX_[38] * vX_[697];
+ vX_[780] = -0.35 * vX_[55] + 0.08;
+ vX_[785] = vX_[20] * vX_[38] + vX_[37] * vX_[55];
+ vX_[757] = vX_[718] * vX_[780] + vX_[785] * vX_[706];
+ vX_[779] = vX_[36] * vX_[38] + vX_[20] * vX_[55];
+ vX_[143] = vX_[718] * vX_[779] + vX_[785] * vX_[702];
+ vX_[780] = vX_[702] * vX_[780] + vX_[779] * vX_[706];
+ vX_[706] = 0.1104774 * (0 - vX_[757]) + 0.025941 * vX_[143] - -0.0004405 * vX_[780];
+ vX_[800] = 0 - vX_[706];
+ vX_[789] = vX_[779] * vX_[707];
+ vX_[786] = vX_[779] * x_in[35];
+ vX_[788] = vX_[718] * vX_[785] + vX_[785] * vX_[718];
+ vX_[892] = -0.881 * vX_[757] + 0.1104774 * vX_[143] + 8.81e-05 * vX_[789] + -8.81e-05 * vX_[786] + (0.1104774 * vX_[800]) / 0.026181 - -0.0004405 * vX_[788];
+ vX_[776] = vX_[785] * vX_[707];
+ vX_[153] = (- vX_[785]) * x_in[35];
+ vX_[415] = vX_[702] * vX_[779] + vX_[779] * vX_[702];
+ vX_[143] = 0.881 * vX_[780] + 8.81e-05 * vX_[776] + -0.0004405 * vX_[143] + 8.81e-05 * vX_[153] + (0.0004405 * vX_[800]) / 0.026181 - 0.1104774 * vX_[415];
+ vX_[705] = vX_[696] * 0.08 + vX_[55] * vX_[705];
+ vX_[793] = vX_[55] * vX_[697];
+ vX_[775] = vX_[696] * vX_[55] + vX_[55] * vX_[696];
+ vX_[802] = vX_[700] * vX_[38] + vX_[38] * vX_[700];
+ vX_[706] = 0.47422804 * (0 - vX_[244]) + 0.081641 * vX_[784] + 2.1e-05 * vX_[818] + (0.026181 * vX_[800]) / 0.026181 + vX_[706] + vX_[714] * vX_[892] + vX_[34] * vX_[143] - 0.0825825 * vX_[705] - -0.000102 * vX_[793] - -0.007418 * (vX_[775] - vX_[802]);
+ vX_[867] = 0 - vX_[706];
+ vX_[774] = (- vX_[38]) * x_in[34];
+ vX_[173] = vX_[55] * x_in[34];
+ vX_[244] = -3.146 * vX_[244] + 0.47422804 * vX_[784] + vX_[20] * vX_[892] + vX_[37] * vX_[143] + vX_[31] * vX_[774] + vX_[13] * vX_[173] + (vX_[15] * vX_[867]) / vX_[17] - 0.0825825 * vX_[802];
+ vX_[705] = 3.146 * vX_[705] + 0.0825825 * vX_[784] + vX_[712] * vX_[892] + vX_[20] * vX_[143] + vX_[46] * vX_[774] + vX_[45] * vX_[173] + (vX_[43] * vX_[867]) / vX_[17] - 0.47422804 * vX_[775];
+ vX_[779] = vX_[785] * vX_[715] - vX_[779] * vX_[721];
+ vX_[780] = 8.81e-05 * vX_[780] + 0.026409 * vX_[153] - 0.1104774 * vX_[779] - 0.025713 * vX_[776];
+ vX_[757] = -0.0004405 * vX_[779] + 8.81e-05 * vX_[757] + -0.000227999999999999 * vX_[789] + 0.000468 * vX_[786];
+ vX_[779] = 0.881 * vX_[779] + 0.1104774 * vX_[776] + -0.0004405 * vX_[789] + -0.1104774 * vX_[153] + -0.0004405 * vX_[786] - 8.81e-05 * (vX_[415] + vX_[788]);
+ vX_[415] = vX_[38] * vX_[711] - vX_[55] * vX_[713];
+ vX_[802] = -0.007418 * vX_[793] + -0.000102 * (0 - vX_[802]) + vX_[20] * vX_[780] + vX_[37] * vX_[757] + -0.35 * vX_[779] + vX_[62] * vX_[774] + vX_[54] * vX_[173] + (vX_[6] * vX_[867]) / vX_[17] - 0.47422804 * vX_[415] - 0.084376 * vX_[818] - 2.1e-05 * vX_[784];
+ vX_[757] = 0.002735 * vX_[793] + 0.0825825 * vX_[415] + -0.000102 * vX_[784] + vX_[36] * vX_[780] + vX_[20] * vX_[757] + vX_[54] * vX_[774] + vX_[61] * vX_[173] + (vX_[23] * vX_[867]) / vX_[17] - -0.007418 * vX_[818] - 2.1e-05 * (0 - vX_[775]);
+ vX_[415] = 0.47422804 * vX_[818] + 3.146 * vX_[415] + 0.0825825 * vX_[793] + vX_[779] + vX_[29] * vX_[774] + vX_[42] * vX_[173];
+ vX_[779] = 0.1466472 * vX_[645] + -5.1e-05 * vX_[659] + vX_[55] * vX_[802] + vX_[38] * vX_[757] + 0.08 * vX_[415] - -0.022734 * vX_[587];
+ vX_[793] = 0 - vX_[779];
+ vX_[706] = 0.5824264 * vX_[142] + -3.6e-05 * vX_[587] + -0.022734 * vX_[640] + (vX_[17] * vX_[867]) / vX_[17] + vX_[706] + vX_[710] * vX_[244] + vX_[57] * vX_[705] + vX_[483] * vX_[725] + vX_[538] * vX_[587] + vX_[119] * vX_[750] + vX_[108] * vX_[704] + (vX_[118] * vX_[793]) / vX_[82] - -0.123672 * vX_[659];
+ vX_[757] = -0.133138 * vX_[587] + 0.5824264 * (0 - vX_[645]) + vX_[38] * vX_[802] + vX_[33] * vX_[757] + vX_[538] * vX_[725] + vX_[81] * vX_[587] + vX_[109] * vX_[750] + vX_[84] * vX_[704] + (vX_[77] * vX_[793]) / vX_[82] - -3.6e-05 * vX_[659] - -5.1e-05 * vX_[640];
+ vX_[71] = 0.1466472 * vX_[659] + vX_[708] * vX_[244] + vX_[10] * vX_[705] + vX_[94] * vX_[725] + vX_[71] * vX_[587] + vX_[112] * vX_[750] + vX_[105] * vX_[704] + (vX_[103] * vX_[793]) / vX_[82];
+ vX_[415] = -3.44 * (0 - vX_[645]) + 0.5824264 * vX_[587] + vX_[415] + vX_[119] * vX_[725] + vX_[109] * vX_[587] + vX_[111] * vX_[750] + vX_[97] * vX_[704] + (vX_[95] * vX_[793]) / vX_[82];
+ vX_[705] = 3.44 * vX_[142] + 0.5824264 * vX_[659] + vX_[709] * vX_[244] + vX_[33] * vX_[705] + vX_[108] * vX_[725] + vX_[84] * vX_[587] + vX_[97] * vX_[750] + vX_[123] * vX_[704] + (vX_[80] * vX_[793]) / vX_[82] - 0.1466472 * vX_[640];
+ vX_[779] = ((vX_[82] * vX_[793]) / vX_[82] + vX_[779] + vX_[703] * vX_[415] + vX_[85] * vX_[705]) / vX_[573];
+ vX_[244] = (vX_[24] * vX_[706] + vX_[86] * vX_[757] + vX_[87] * vX_[415] + vX_[608] * vX_[705] - vX_[689] * vX_[779]) / vX_[570];
+ vX_[757] = (vX_[86] * vX_[706] + vX_[88] * vX_[757] + 0.207 * vX_[71] + vX_[89] * vX_[415] + vX_[649] * vX_[705] - vX_[687] * vX_[244] - vX_[480] * vX_[779]) / vX_[572];
+ vX_[71] = (vX_[71] - vX_[932] * vX_[244] - vX_[949] * vX_[779] - vX_[946] * vX_[757]) / vX_[976];
+ vX_[706] = (vX_[24] * vX_[415] + vX_[86] * vX_[705] - vX_[913] * vX_[244] - vX_[933] * vX_[779] - vX_[722] * vX_[757] - vX_[948] * vX_[71]) / vX_[973];
+ vX_[705] = (vX_[86] * vX_[415] + vX_[616] * vX_[705] - vX_[977] * vX_[244] - vX_[945] * vX_[779] - vX_[474] * vX_[757] - vX_[984] * vX_[71] - vX_[955] * vX_[706]) / vX_[975];
+ jac[1211] = - vX_[705];
+ vX_[706] = vX_[706] - vX_[986] * vX_[705];
+ jac[1210] = - vX_[706];
+ vX_[71] = vX_[71] - vX_[985] * vX_[705] - vX_[919] * vX_[706];
+ jac[1209] = - vX_[71];
+ vX_[757] = vX_[757] - vX_[936] * vX_[706] - vX_[947] * vX_[71] - vX_[980] * vX_[705];
+ jac[1208] = - vX_[757];
+ vX_[244] = vX_[244] - vX_[938] * vX_[71] - vX_[586] * vX_[757] - vX_[935] * vX_[706] - vX_[979] * vX_[705];
+ jac[1206] = vX_[574] * vX_[757] + vX_[688] * vX_[244] + vX_[937] * vX_[71] + vX_[934] * vX_[706] + vX_[978] * vX_[705] - vX_[779];
+ jac[1207] = - vX_[244];
+ vX_[244] = -1 * jac[1206];
+ vX_[757] = vX_[440] * jac[1208] + vX_[360] * jac[1207];
+ vX_[71] = vX_[360] * jac[1208] + vX_[441] * jac[1207];
+ vX_[706] = -1 * jac[1209];
+ vX_[705] = 0.207 * jac[1208] + vX_[706];
+ vX_[779] = vX_[610] * jac[1208] + vX_[611] * jac[1207] + vX_[438] * jac[1206] + vX_[359] * jac[1211] + vX_[612] * jac[1210];
+ jac[1212] = (0 - vX_[435] * vX_[244] - vX_[472] * vX_[757] - vX_[430] * vX_[71] - vX_[457] * vX_[705] - vX_[449] * (vX_[443] * jac[1208] + vX_[442] * jac[1207] + vX_[596] * jac[1206] + vX_[440] * jac[1211] + vX_[597] * jac[1210]) - vX_[433] * vX_[779]) / vX_[435];
+ vX_[415] = -1 * vX_[757];
+ vX_[640] = vX_[244] + jac[1212];
+ vX_[142] = vX_[361] * vX_[705] + vX_[625] * vX_[779] + vX_[592] * vX_[757];
+ vX_[779] = vX_[388] * vX_[705] + vX_[361] * vX_[779] + vX_[409] * vX_[757];
+ jac[1213] = (0 - vX_[385] * vX_[415] - vX_[392] * (vX_[361] * vX_[640] + vX_[389] * vX_[71]) - vX_[373] * (vX_[388] * vX_[640] + vX_[361] * vX_[71]) - vX_[383] * vX_[142] - vX_[396] * vX_[779]) / vX_[385];
+ vX_[415] = vX_[415] + jac[1213];
+ jac[1214] = (0 - 0.1104774 * (vX_[362] * vX_[142] + vX_[636] * vX_[779] + vX_[637] * vX_[415]) - -0.0004405 * (vX_[364] * vX_[142] + vX_[362] * vX_[779] + vX_[367] * vX_[415]) - 0.026181 * vX_[415]) / 0.026181;
+ vX_[415] = vX_[318] * jac[1208] + vX_[239] * jac[1207];
+ vX_[779] = vX_[320] * jac[1208] + vX_[318] * jac[1207];
+ vX_[142] = 0.207 * jac[1208] + jac[1209];
+ vX_[640] = vX_[830] * jac[1208] + vX_[831] * jac[1207] + vX_[317] * jac[1206] + vX_[832] * jac[1211] + vX_[318] * jac[1210];
+ jac[1215] = (0 - vX_[314] * jac[1206] - vX_[350] * vX_[415] - vX_[309] * vX_[779] - vX_[335] * vX_[142] - vX_[327] * (vX_[321] * jac[1208] + vX_[319] * jac[1207] + vX_[845] * jac[1206] + vX_[318] * jac[1211] + vX_[239] * jac[1210]) - vX_[312] * vX_[640]) / vX_[314];
+ vX_[71] = jac[1206] + jac[1215];
+ vX_[705] = vX_[850] * vX_[142] + vX_[851] * vX_[640] + vX_[852] * vX_[415];
+ vX_[640] = vX_[267] * vX_[142] + vX_[240] * vX_[640] + vX_[289] * vX_[415];
+ jac[1216] = (0 - vX_[264] * vX_[415] - vX_[271] * (vX_[287] * vX_[71] + vX_[268] * vX_[779]) - vX_[252] * (vX_[268] * vX_[71] + vX_[240] * vX_[779]) - vX_[262] * vX_[705] - vX_[275] * vX_[640]) / vX_[264];
+ vX_[415] = vX_[415] + jac[1216];
+ jac[1217] = (0 - 0.1104774 * (vX_[241] * vX_[705] + vX_[854] * vX_[640] + vX_[856] * vX_[415]) - -0.0004405 * (vX_[243] * vX_[705] + vX_[241] * vX_[640] + vX_[246] * vX_[415]) - 0.026181 * vX_[415]) / 0.026181;
+ vX_[415] = vX_[198] * jac[1208] + vX_[128] * jac[1207];
+ vX_[640] = vX_[128] * jac[1208] + vX_[199] * jac[1207];
+ vX_[706] = 0.207 * jac[1208] + vX_[706];
+ vX_[705] = vX_[762] * jac[1208] + vX_[763] * jac[1207] + vX_[196] * jac[1206] + vX_[764] * jac[1211] + vX_[765] * jac[1210];
+ jac[1218] = (0 - vX_[193] * vX_[244] - vX_[230] * vX_[415] - vX_[188] * vX_[640] - vX_[215] * vX_[706] - vX_[207] * (vX_[201] * jac[1208] + vX_[200] * jac[1207] + vX_[701] * jac[1206] + vX_[198] * jac[1211] + vX_[127] * jac[1210]) - vX_[191] * vX_[705]) / vX_[193];
+ vX_[71] = -1 * vX_[415];
+ vX_[244] = vX_[244] + jac[1218];
+ vX_[779] = vX_[129] * vX_[706] + vX_[772] * vX_[705] + vX_[773] * vX_[415];
+ vX_[705] = vX_[149] * vX_[706] + vX_[129] * vX_[705] + vX_[167] * vX_[415];
+ jac[1219] = (0 - vX_[146] * vX_[71] - 2.1e-05 * (vX_[129] * vX_[244] + vX_[150] * vX_[640]) - -0.000102 * (vX_[149] * vX_[244] + vX_[129] * vX_[640]) - vX_[144] * vX_[779] - vX_[154] * vX_[705]) / vX_[146];
+ vX_[71] = vX_[71] + jac[1219];
+ jac[1220] = (0 - 0.110125 * (vX_[132] * vX_[779] + vX_[782] * vX_[705] + vX_[783] * vX_[71]) - 0.000881 * (vX_[130] * vX_[779] + vX_[132] * vX_[705] + vX_[131] * vX_[71]) - 0.026181 * vX_[71]) / 0.026181;
+ vX_[725] = vX_[86] * jac[1208] + vX_[24] * jac[1207] + vX_[725];
+ vX_[587] = vX_[88] * jac[1208] + vX_[86] * jac[1207] + vX_[587];
+ vX_[71] = 0.207 * jac[1208] + jac[1209];
+ vX_[704] = vX_[649] * jac[1208] + vX_[608] * jac[1207] + vX_[85] * jac[1206] + vX_[616] * jac[1211] + vX_[86] * jac[1210] + vX_[704];
+ jac[1221] = (vX_[793] - vX_[82] * jac[1206] - vX_[118] * vX_[725] - vX_[77] * vX_[587] - vX_[103] * vX_[71] - vX_[95] * (vX_[89] * jac[1208] + vX_[87] * jac[1207] + vX_[703] * jac[1206] + vX_[86] * jac[1211] + vX_[24] * jac[1210] + vX_[750]) - vX_[80] * vX_[704]) / vX_[82];
+ vX_[793] = jac[1206] + jac[1221];
+ vX_[750] = vX_[708] * vX_[71] + vX_[709] * vX_[704] + vX_[710] * vX_[725];
+ vX_[704] = vX_[10] * vX_[71] + vX_[33] * vX_[704] + vX_[57] * vX_[725];
+ jac[1222] = (vX_[867] - vX_[17] * vX_[725] - vX_[6] * (vX_[55] * vX_[793] + vX_[38] * vX_[587] + vX_[774]) - vX_[23] * (vX_[38] * vX_[793] + vX_[33] * vX_[587] + vX_[173]) - vX_[15] * vX_[750] - vX_[43] * vX_[704]) / vX_[17];
+ vX_[725] = vX_[725] + jac[1222];
+ jac[1223] = (vX_[800] - 0.1104774 * (vX_[20] * vX_[750] + vX_[712] * vX_[704] + vX_[714] * vX_[725]) - 0.0004405 * (vX_[37] * vX_[750] + vX_[20] * vX_[704] + vX_[34] * vX_[725]) - 0.026181 * vX_[725]) / 0.026181;
+ vX_[725] = vX_[707] * vX_[34] + vX_[721];
+ vX_[704] = 0 - (vX_[707] * vX_[714] + vX_[715]);
+ vX_[750] = 0.1104774 * vX_[725] - -0.0004405 * vX_[704];
+ vX_[800] = 0 - vX_[750];
+ vX_[793] = (- vX_[34]) * x_in[35];
+ vX_[587] = vX_[714] * x_in[35];
+ vX_[173] = vX_[707] + vX_[707];
+ vX_[774] = -0.881 * (0 - vX_[725]) + 8.81e-05 * vX_[702] + 0.414812462825713 * vX_[793] + -0.00185880198235362 * vX_[587] + (0.1104774 * vX_[800]) / 0.026181 - -0.0004405 * vX_[173];
+ vX_[173] = 0.881 * vX_[704] + 8.81e-05 * vX_[718] + -0.00185880198235362 * vX_[793] + 0.880992588508842 * vX_[587] + (0.0004405 * vX_[800]) / 0.026181 - 0.1104774 * vX_[173];
+ vX_[867] = 0 - vX_[711];
+ vX_[750] = 0.47422804 * vX_[713] + 2.1e-05 * vX_[700] + (0.026181 * vX_[800]) / 0.026181 + vX_[750] + vX_[714] * vX_[774] + vX_[34] * vX_[173] - 0.0825825 * vX_[867] - -0.000102 * vX_[696];
+ vX_[71] = 0 - vX_[750];
+ vX_[697] = vX_[697] + vX_[697];
+ vX_[713] = -3.146 * (0 - vX_[713]) + vX_[20] * vX_[774] + vX_[37] * vX_[173] + vX_[31] * vX_[734] + vX_[13] * vX_[696] + vX_[66] * vX_[737] + vX_[68] * vX_[711] + (vX_[15] * vX_[71]) / vX_[17] - 0.0825825 * vX_[697];
+ vX_[867] = 3.146 * vX_[867] + vX_[712] * vX_[774] + vX_[20] * vX_[173] + vX_[46] * vX_[734] + vX_[45] * vX_[696] + vX_[68] * vX_[737] + vX_[67] * vX_[711] + (vX_[43] * vX_[71]) / vX_[17] - 0.47422804 * vX_[697];
+ vX_[173] = vX_[718] * vX_[714] - vX_[702] * vX_[34];
+ vX_[704] = 8.81e-05 * vX_[704] + 8.81e-05 * vX_[587] - 0.1104774 * vX_[173] - 0.025713 * vX_[718];
+ vX_[725] = -0.0004405 * vX_[173] + 8.81e-05 * (0 - vX_[725]) + -0.000227999999999999 * vX_[702] + -8.81e-05 * vX_[793];
+ vX_[173] = 0.881 * vX_[173] + 0.1104774 * vX_[718] + -0.0004405 * vX_[702];
+ vX_[62] = -0.007418 * vX_[696] + -0.000102 * vX_[697] + vX_[20] * vX_[704] + vX_[37] * vX_[725] + -0.35 * vX_[173] + vX_[62] * vX_[734] + vX_[54] * vX_[696] + vX_[31] * vX_[737] + vX_[46] * vX_[711] + (vX_[6] * vX_[71]) / vX_[17] - 0.084376 * vX_[700];
+ vX_[725] = 0.002735 * vX_[696] + vX_[36] * vX_[704] + vX_[20] * vX_[725] + vX_[54] * vX_[734] + vX_[61] * vX_[696] + vX_[13] * vX_[737] + vX_[45] * vX_[711] + (vX_[23] * vX_[71]) / vX_[17] - -0.007418 * vX_[700] - 2.1e-05 * vX_[697];
+ vX_[173] = 0.47422804 * vX_[700] + 0.0825825 * vX_[696] + vX_[173] + vX_[29] * vX_[734] + vX_[42] * vX_[696];
+ vX_[700] = vX_[55] * vX_[62] + vX_[38] * vX_[725] + 0.08 * vX_[173];
+ vX_[29] = 0 - vX_[700];
+ vX_[750] = (vX_[17] * vX_[71]) / vX_[17] + vX_[750] + vX_[710] * vX_[713] + vX_[57] * vX_[867] + (vX_[118] * vX_[29]) / vX_[82];
+ vX_[725] = vX_[38] * vX_[62] + vX_[33] * vX_[725] + (vX_[77] * vX_[29]) / vX_[82];
+ vX_[62] = vX_[708] * vX_[713] + vX_[10] * vX_[867] + (vX_[103] * vX_[29]) / vX_[82];
+ vX_[173] = vX_[173] + (vX_[95] * vX_[29]) / vX_[82];
+ vX_[867] = vX_[709] * vX_[713] + vX_[33] * vX_[867] + (vX_[80] * vX_[29]) / vX_[82];
+ vX_[700] = ((vX_[82] * vX_[29]) / vX_[82] + vX_[700] + vX_[703] * vX_[173] + vX_[85] * vX_[867]) / vX_[573];
+ vX_[713] = (vX_[24] * vX_[750] + vX_[86] * vX_[725] + vX_[87] * vX_[173] + vX_[608] * vX_[867] - vX_[689] * vX_[700]) / vX_[570];
+ vX_[725] = (vX_[86] * vX_[750] + vX_[88] * vX_[725] + 0.207 * vX_[62] + vX_[89] * vX_[173] + vX_[649] * vX_[867] - vX_[687] * vX_[713] - vX_[480] * vX_[700]) / vX_[572];
+ vX_[62] = (vX_[62] - vX_[932] * vX_[713] - vX_[949] * vX_[700] - vX_[946] * vX_[725]) / vX_[976];
+ vX_[750] = (vX_[24] * vX_[173] + vX_[86] * vX_[867] - vX_[913] * vX_[713] - vX_[933] * vX_[700] - vX_[722] * vX_[725] - vX_[948] * vX_[62]) / vX_[973];
+ vX_[867] = (vX_[86] * vX_[173] + vX_[616] * vX_[867] - vX_[977] * vX_[713] - vX_[945] * vX_[700] - vX_[474] * vX_[725] - vX_[984] * vX_[62] - vX_[955] * vX_[750]) / vX_[975];
+ jac[1247] = - vX_[867];
+ vX_[750] = vX_[750] - vX_[986] * vX_[867];
+ jac[1246] = - vX_[750];
+ vX_[62] = vX_[62] - vX_[985] * vX_[867] - vX_[919] * vX_[750];
+ jac[1245] = - vX_[62];
+ vX_[725] = vX_[725] - vX_[936] * vX_[750] - vX_[947] * vX_[62] - vX_[980] * vX_[867];
+ jac[1244] = - vX_[725];
+ vX_[713] = vX_[713] - vX_[938] * vX_[62] - vX_[586] * vX_[725] - vX_[935] * vX_[750] - vX_[979] * vX_[867];
+ jac[1242] = vX_[574] * vX_[725] + vX_[688] * vX_[713] + vX_[937] * vX_[62] + vX_[934] * vX_[750] + vX_[978] * vX_[867] - vX_[700];
+ jac[1243] = - vX_[713];
+ vX_[713] = -1 * jac[1242];
+ vX_[725] = vX_[440] * jac[1244] + vX_[360] * jac[1243];
+ vX_[62] = vX_[360] * jac[1244] + vX_[441] * jac[1243];
+ vX_[750] = -1 * jac[1245];
+ vX_[867] = 0.207 * jac[1244] + vX_[750];
+ vX_[700] = vX_[610] * jac[1244] + vX_[611] * jac[1243] + vX_[438] * jac[1242] + vX_[359] * jac[1247] + vX_[612] * jac[1246];
+ jac[1248] = (0 - vX_[435] * vX_[713] - vX_[472] * vX_[725] - vX_[430] * vX_[62] - vX_[457] * vX_[867] - vX_[449] * (vX_[443] * jac[1244] + vX_[442] * jac[1243] + vX_[596] * jac[1242] + vX_[440] * jac[1247] + vX_[597] * jac[1246]) - vX_[433] * vX_[700]) / vX_[435];
+ vX_[173] = -1 * vX_[725];
+ vX_[42] = vX_[713] + jac[1248];
+ vX_[704] = vX_[361] * vX_[867] + vX_[625] * vX_[700] + vX_[592] * vX_[725];
+ vX_[700] = vX_[388] * vX_[867] + vX_[361] * vX_[700] + vX_[409] * vX_[725];
+ jac[1249] = (0 - vX_[385] * vX_[173] - vX_[392] * (vX_[361] * vX_[42] + vX_[389] * vX_[62]) - vX_[373] * (vX_[388] * vX_[42] + vX_[361] * vX_[62]) - vX_[383] * vX_[704] - vX_[396] * vX_[700]) / vX_[385];
+ vX_[173] = vX_[173] + jac[1249];
+ jac[1250] = (0 - 0.1104774 * (vX_[362] * vX_[704] + vX_[636] * vX_[700] + vX_[637] * vX_[173]) - -0.0004405 * (vX_[364] * vX_[704] + vX_[362] * vX_[700] + vX_[367] * vX_[173]) - 0.026181 * vX_[173]) / 0.026181;
+ vX_[173] = vX_[318] * jac[1244] + vX_[239] * jac[1243];
+ vX_[700] = vX_[320] * jac[1244] + vX_[318] * jac[1243];
+ vX_[704] = 0.207 * jac[1244] + jac[1245];
+ vX_[42] = vX_[830] * jac[1244] + vX_[831] * jac[1243] + vX_[317] * jac[1242] + vX_[832] * jac[1247] + vX_[318] * jac[1246];
+ jac[1251] = (0 - vX_[314] * jac[1242] - vX_[350] * vX_[173] - vX_[309] * vX_[700] - vX_[335] * vX_[704] - vX_[327] * (vX_[321] * jac[1244] + vX_[319] * jac[1243] + vX_[845] * jac[1242] + vX_[318] * jac[1247] + vX_[239] * jac[1246]) - vX_[312] * vX_[42]) / vX_[314];
+ vX_[62] = jac[1242] + jac[1251];
+ vX_[867] = vX_[850] * vX_[704] + vX_[851] * vX_[42] + vX_[852] * vX_[173];
+ vX_[42] = vX_[267] * vX_[704] + vX_[240] * vX_[42] + vX_[289] * vX_[173];
+ jac[1252] = (0 - vX_[264] * vX_[173] - vX_[271] * (vX_[287] * vX_[62] + vX_[268] * vX_[700]) - vX_[252] * (vX_[268] * vX_[62] + vX_[240] * vX_[700]) - vX_[262] * vX_[867] - vX_[275] * vX_[42]) / vX_[264];
+ vX_[173] = vX_[173] + jac[1252];
+ jac[1253] = (0 - 0.1104774 * (vX_[241] * vX_[867] + vX_[854] * vX_[42] + vX_[856] * vX_[173]) - -0.0004405 * (vX_[243] * vX_[867] + vX_[241] * vX_[42] + vX_[246] * vX_[173]) - 0.026181 * vX_[173]) / 0.026181;
+ vX_[173] = vX_[198] * jac[1244] + vX_[128] * jac[1243];
+ vX_[42] = vX_[128] * jac[1244] + vX_[199] * jac[1243];
+ vX_[750] = 0.207 * jac[1244] + vX_[750];
+ vX_[867] = vX_[762] * jac[1244] + vX_[763] * jac[1243] + vX_[196] * jac[1242] + vX_[764] * jac[1247] + vX_[765] * jac[1246];
+ jac[1254] = (0 - vX_[193] * vX_[713] - vX_[230] * vX_[173] - vX_[188] * vX_[42] - vX_[215] * vX_[750] - vX_[207] * (vX_[201] * jac[1244] + vX_[200] * jac[1243] + vX_[701] * jac[1242] + vX_[198] * jac[1247] + vX_[127] * jac[1246]) - vX_[191] * vX_[867]) / vX_[193];
+ vX_[62] = -1 * vX_[173];
+ vX_[713] = vX_[713] + jac[1254];
+ vX_[700] = vX_[129] * vX_[750] + vX_[772] * vX_[867] + vX_[773] * vX_[173];
+ vX_[867] = vX_[149] * vX_[750] + vX_[129] * vX_[867] + vX_[167] * vX_[173];
+ jac[1255] = (0 - vX_[146] * vX_[62] - 2.1e-05 * (vX_[129] * vX_[713] + vX_[150] * vX_[42]) - -0.000102 * (vX_[149] * vX_[713] + vX_[129] * vX_[42]) - vX_[144] * vX_[700] - vX_[154] * vX_[867]) / vX_[146];
+ vX_[62] = vX_[62] + jac[1255];
+ jac[1256] = (0 - 0.110125 * (vX_[132] * vX_[700] + vX_[782] * vX_[867] + vX_[783] * vX_[62]) - 0.000881 * (vX_[130] * vX_[700] + vX_[132] * vX_[867] + vX_[131] * vX_[62]) - 0.026181 * vX_[62]) / 0.026181;
+ vX_[62] = vX_[86] * jac[1244] + vX_[24] * jac[1243];
+ vX_[867] = vX_[88] * jac[1244] + vX_[86] * jac[1243];
+ vX_[700] = 0.207 * jac[1244] + jac[1245];
+ vX_[713] = vX_[649] * jac[1244] + vX_[608] * jac[1243] + vX_[85] * jac[1242] + vX_[616] * jac[1247] + vX_[86] * jac[1246];
+ jac[1257] = (vX_[29] - vX_[82] * jac[1242] - vX_[118] * vX_[62] - vX_[77] * vX_[867] - vX_[103] * vX_[700] - vX_[95] * (vX_[89] * jac[1244] + vX_[87] * jac[1243] + vX_[703] * jac[1242] + vX_[86] * jac[1247] + vX_[24] * jac[1246]) - vX_[80] * vX_[713]) / vX_[82];
+ vX_[29] = jac[1242] + jac[1257];
+ vX_[737] = vX_[708] * vX_[700] + vX_[709] * vX_[713] + vX_[710] * vX_[62] + vX_[737];
+ vX_[713] = vX_[10] * vX_[700] + vX_[33] * vX_[713] + vX_[57] * vX_[62] + vX_[711];
+ jac[1258] = (vX_[71] - vX_[17] * vX_[62] - vX_[6] * (vX_[55] * vX_[29] + vX_[38] * vX_[867] + vX_[734]) - vX_[23] * (vX_[38] * vX_[29] + vX_[33] * vX_[867] + vX_[696]) - vX_[15] * vX_[737] - vX_[43] * vX_[713]) / vX_[17];
+ vX_[62] = vX_[62] + jac[1258];
+ jac[1259] = (vX_[800] - 0.1104774 * (vX_[20] * vX_[737] + vX_[712] * vX_[713] + vX_[714] * vX_[62] + vX_[793]) - 0.0004405 * (vX_[37] * vX_[737] + vX_[20] * vX_[713] + vX_[34] * vX_[62] + vX_[587]) - 0.026181 * vX_[62]) / 0.026181;
+ vX_[62] = 0 - vX_[715];
+ vX_[713] = 0.1104774 * vX_[721] - -0.0004405 * vX_[62];
+ vX_[737] = 0 - vX_[713];
+ vX_[707] = vX_[707] + vX_[707];
+ vX_[587] = -0.881 * (0 - vX_[721]) + 8.81e-05 * vX_[702] + 0.414812462825713 * vX_[728] + -0.00185880198235362 * vX_[715] + -8.81e-05 * vX_[702] + (0.1104774 * vX_[737]) / 0.026181 - -0.0004405 * vX_[707];
+ vX_[707] = 0.881 * vX_[62] + 8.81e-05 * vX_[718] + -0.00185880198235362 * vX_[728] + 0.880992588508842 * vX_[715] + 8.81e-05 * vX_[719] + (0.0004405 * vX_[737]) / 0.026181 - 0.1104774 * vX_[707];
+ vX_[713] = (0.026181 * vX_[737]) / 0.026181 + vX_[713] + vX_[714] * vX_[587] + vX_[34] * vX_[707];
+ vX_[793] = 0 - vX_[713];
+ vX_[800] = vX_[20] * vX_[587] + vX_[37] * vX_[707] + (vX_[15] * vX_[793]) / vX_[17];
+ vX_[707] = vX_[712] * vX_[587] + vX_[20] * vX_[707] + (vX_[43] * vX_[793]) / vX_[17];
+ vX_[62] = 8.81e-05 * vX_[62] + 8.81e-05 * vX_[715] + 0.026409 * vX_[719] - 0.025713 * vX_[718];
+ vX_[721] = 8.81e-05 * (0 - vX_[721]) + -0.000227999999999999 * vX_[702] + -8.81e-05 * vX_[728] + 0.000468 * vX_[702];
+ vX_[719] = 0.1104774 * vX_[718] + -0.0004405 * vX_[702] + -0.1104774 * vX_[719] + -0.0004405 * vX_[702];
+ vX_[718] = vX_[20] * vX_[62] + vX_[37] * vX_[721] + -0.35 * vX_[719] + (vX_[6] * vX_[793]) / vX_[17];
+ vX_[721] = vX_[36] * vX_[62] + vX_[20] * vX_[721] + (vX_[23] * vX_[793]) / vX_[17];
+ vX_[62] = vX_[55] * vX_[718] + vX_[38] * vX_[721] + 0.08 * vX_[719];
+ vX_[36] = 0 - vX_[62];
+ vX_[713] = (vX_[17] * vX_[793]) / vX_[17] + vX_[713] + vX_[710] * vX_[800] + vX_[57] * vX_[707] + (vX_[118] * vX_[36]) / vX_[82];
+ vX_[721] = vX_[38] * vX_[718] + vX_[33] * vX_[721] + (vX_[77] * vX_[36]) / vX_[82];
+ vX_[718] = vX_[708] * vX_[800] + vX_[10] * vX_[707] + (vX_[103] * vX_[36]) / vX_[82];
+ vX_[719] = vX_[719] + (vX_[95] * vX_[36]) / vX_[82];
+ vX_[707] = vX_[709] * vX_[800] + vX_[33] * vX_[707] + (vX_[80] * vX_[36]) / vX_[82];
+ vX_[62] = ((vX_[82] * vX_[36]) / vX_[82] + vX_[62] + vX_[703] * vX_[719] + vX_[85] * vX_[707]) / vX_[573];
+ vX_[570] = (vX_[24] * vX_[713] + vX_[86] * vX_[721] + vX_[87] * vX_[719] + vX_[608] * vX_[707] - vX_[689] * vX_[62]) / vX_[570];
+ vX_[721] = (vX_[86] * vX_[713] + vX_[88] * vX_[721] + 0.207 * vX_[718] + vX_[89] * vX_[719] + vX_[649] * vX_[707] - vX_[687] * vX_[570] - vX_[480] * vX_[62]) / vX_[572];
+ vX_[718] = (vX_[718] - vX_[932] * vX_[570] - vX_[949] * vX_[62] - vX_[946] * vX_[721]) / vX_[976];
+ vX_[973] = (vX_[24] * vX_[719] + vX_[86] * vX_[707] - vX_[913] * vX_[570] - vX_[933] * vX_[62] - vX_[722] * vX_[721] - vX_[948] * vX_[718]) / vX_[973];
+ vX_[707] = (vX_[86] * vX_[719] + vX_[616] * vX_[707] - vX_[977] * vX_[570] - vX_[945] * vX_[62] - vX_[474] * vX_[721] - vX_[984] * vX_[718] - vX_[955] * vX_[973]) / vX_[975];
+ jac[1283] = - vX_[707];
+ vX_[973] = vX_[973] - vX_[986] * vX_[707];
+ jac[1282] = - vX_[973];
+ vX_[718] = vX_[718] - vX_[985] * vX_[707] - vX_[919] * vX_[973];
+ jac[1281] = - vX_[718];
+ vX_[721] = vX_[721] - vX_[936] * vX_[973] - vX_[947] * vX_[718] - vX_[980] * vX_[707];
+ jac[1280] = - vX_[721];
+ vX_[570] = vX_[570] - vX_[938] * vX_[718] - vX_[586] * vX_[721] - vX_[935] * vX_[973] - vX_[979] * vX_[707];
+ jac[1278] = vX_[574] * vX_[721] + vX_[688] * vX_[570] + vX_[937] * vX_[718] + vX_[934] * vX_[973] + vX_[978] * vX_[707] - vX_[62];
+ jac[1279] = - vX_[570];
+ vX_[570] = -1 * jac[1278];
+ vX_[721] = vX_[440] * jac[1280] + vX_[360] * jac[1279];
+ vX_[441] = vX_[360] * jac[1280] + vX_[441] * jac[1279];
+ vX_[360] = -1 * jac[1281];
+ vX_[718] = 0.207 * jac[1280] + vX_[360];
+ vX_[612] = vX_[610] * jac[1280] + vX_[611] * jac[1279] + vX_[438] * jac[1278] + vX_[359] * jac[1283] + vX_[612] * jac[1282];
+ jac[1284] = (0 - vX_[435] * vX_[570] - vX_[472] * vX_[721] - vX_[430] * vX_[441] - vX_[457] * vX_[718] - vX_[449] * (vX_[443] * jac[1280] + vX_[442] * jac[1279] + vX_[596] * jac[1278] + vX_[440] * jac[1283] + vX_[597] * jac[1282]) - vX_[433] * vX_[612]) / vX_[435];
+ vX_[597] = -1 * vX_[721];
+ vX_[596] = vX_[570] + jac[1284];
+ vX_[625] = vX_[361] * vX_[718] + vX_[625] * vX_[612] + vX_[592] * vX_[721];
+ vX_[612] = vX_[388] * vX_[718] + vX_[361] * vX_[612] + vX_[409] * vX_[721];
+ jac[1285] = (0 - vX_[385] * vX_[597] - vX_[392] * (vX_[361] * vX_[596] + vX_[389] * vX_[441]) - vX_[373] * (vX_[388] * vX_[596] + vX_[361] * vX_[441]) - vX_[383] * vX_[625] - vX_[396] * vX_[612]) / vX_[385];
+ vX_[597] = vX_[597] + jac[1285];
+ jac[1286] = (0 - 0.1104774 * (vX_[362] * vX_[625] + vX_[636] * vX_[612] + vX_[637] * vX_[597]) - -0.0004405 * (vX_[364] * vX_[625] + vX_[362] * vX_[612] + vX_[367] * vX_[597]) - 0.026181 * vX_[597]) / 0.026181;
+ vX_[597] = vX_[318] * jac[1280] + vX_[239] * jac[1279];
+ vX_[320] = vX_[320] * jac[1280] + vX_[318] * jac[1279];
+ vX_[612] = 0.207 * jac[1280] + jac[1281];
+ vX_[832] = vX_[830] * jac[1280] + vX_[831] * jac[1279] + vX_[317] * jac[1278] + vX_[832] * jac[1283] + vX_[318] * jac[1282];
+ jac[1287] = (0 - vX_[314] * jac[1278] - vX_[350] * vX_[597] - vX_[309] * vX_[320] - vX_[335] * vX_[612] - vX_[327] * (vX_[321] * jac[1280] + vX_[319] * jac[1279] + vX_[845] * jac[1278] + vX_[318] * jac[1283] + vX_[239] * jac[1282]) - vX_[312] * vX_[832]) / vX_[314];
+ vX_[845] = jac[1278] + jac[1287];
+ vX_[852] = vX_[850] * vX_[612] + vX_[851] * vX_[832] + vX_[852] * vX_[597];
+ vX_[832] = vX_[267] * vX_[612] + vX_[240] * vX_[832] + vX_[289] * vX_[597];
+ jac[1288] = (0 - vX_[264] * vX_[597] - vX_[271] * (vX_[287] * vX_[845] + vX_[268] * vX_[320]) - vX_[252] * (vX_[268] * vX_[845] + vX_[240] * vX_[320]) - vX_[262] * vX_[852] - vX_[275] * vX_[832]) / vX_[264];
+ vX_[597] = vX_[597] + jac[1288];
+ jac[1289] = (0 - 0.1104774 * (vX_[241] * vX_[852] + vX_[854] * vX_[832] + vX_[856] * vX_[597]) - -0.0004405 * (vX_[243] * vX_[852] + vX_[241] * vX_[832] + vX_[246] * vX_[597]) - 0.026181 * vX_[597]) / 0.026181;
+ vX_[597] = vX_[198] * jac[1280] + vX_[128] * jac[1279];
+ vX_[199] = vX_[128] * jac[1280] + vX_[199] * jac[1279];
+ vX_[360] = 0.207 * jac[1280] + vX_[360];
+ vX_[765] = vX_[762] * jac[1280] + vX_[763] * jac[1279] + vX_[196] * jac[1278] + vX_[764] * jac[1283] + vX_[765] * jac[1282];
+ jac[1290] = (0 - vX_[193] * vX_[570] - vX_[230] * vX_[597] - vX_[188] * vX_[199] - vX_[215] * vX_[360] - vX_[207] * (vX_[201] * jac[1280] + vX_[200] * jac[1279] + vX_[701] * jac[1278] + vX_[198] * jac[1283] + vX_[127] * jac[1282]) - vX_[191] * vX_[765]) / vX_[193];
+ vX_[127] = -1 * vX_[597];
+ vX_[570] = vX_[570] + jac[1290];
+ vX_[773] = vX_[129] * vX_[360] + vX_[772] * vX_[765] + vX_[773] * vX_[597];
+ vX_[765] = vX_[149] * vX_[360] + vX_[129] * vX_[765] + vX_[167] * vX_[597];
+ jac[1291] = (0 - vX_[146] * vX_[127] - 2.1e-05 * (vX_[129] * vX_[570] + vX_[150] * vX_[199]) - -0.000102 * (vX_[149] * vX_[570] + vX_[129] * vX_[199]) - vX_[144] * vX_[773] - vX_[154] * vX_[765]) / vX_[146];
+ vX_[127] = vX_[127] + jac[1291];
+ jac[1292] = (0 - 0.110125 * (vX_[132] * vX_[773] + vX_[782] * vX_[765] + vX_[783] * vX_[127]) - 0.000881 * (vX_[130] * vX_[773] + vX_[132] * vX_[765] + vX_[131] * vX_[127]) - 0.026181 * vX_[127]) / 0.026181;
+ vX_[127] = vX_[86] * jac[1280] + vX_[24] * jac[1279];
+ vX_[88] = vX_[88] * jac[1280] + vX_[86] * jac[1279];
+ vX_[765] = 0.207 * jac[1280] + jac[1281];
+ vX_[616] = vX_[649] * jac[1280] + vX_[608] * jac[1279] + vX_[85] * jac[1278] + vX_[616] * jac[1283] + vX_[86] * jac[1282];
+ jac[1293] = (vX_[36] - vX_[82] * jac[1278] - vX_[118] * vX_[127] - vX_[77] * vX_[88] - vX_[103] * vX_[765] - vX_[95] * (vX_[89] * jac[1280] + vX_[87] * jac[1279] + vX_[703] * jac[1278] + vX_[86] * jac[1283] + vX_[24] * jac[1282]) - vX_[80] * vX_[616]) / vX_[82];
+ vX_[36] = jac[1278] + jac[1293];
+ vX_[710] = vX_[708] * vX_[765] + vX_[709] * vX_[616] + vX_[710] * vX_[127];
+ vX_[616] = vX_[10] * vX_[765] + vX_[33] * vX_[616] + vX_[57] * vX_[127];
+ jac[1294] = (vX_[793] - vX_[17] * vX_[127] - vX_[6] * (vX_[55] * vX_[36] + vX_[38] * vX_[88]) - vX_[23] * (vX_[38] * vX_[36] + vX_[33] * vX_[88]) - vX_[15] * vX_[710] - vX_[43] * vX_[616]) / vX_[17];
+ vX_[127] = vX_[127] + jac[1294];
+ jac[1295] = (vX_[737] - 0.1104774 * (vX_[20] * vX_[710] + vX_[712] * vX_[616] + vX_[714] * vX_[127] + vX_[728]) - 0.0004405 * (vX_[37] * vX_[710] + vX_[20] * vX_[616] + vX_[34] * vX_[127] + vX_[715]) - 0.026181 * vX_[127]) / 0.026181;
+ // dependent variables without operations
+ jac[722] = 1;
+ jac[870] = 1;
+ jac[907] = 1;
+ jac[944] = 1;
+ jac[981] = 1;
+ jac[1018] = 1;
+ jac[1055] = 1;
+ jac[1092] = 1;
+ jac[1129] = 1;
+ jac[1166] = 1;
+ jac[1203] = 1;
+ jac[1240] = 1;
+ jac[1277] = 1;
+
+
+ return dFdx_;
+}
+
+const HyQBareModelLinearizedForward::state_control_matrix_t& HyQBareModelLinearizedForward::getDerivativeControl(
+ const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdu_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = cos(x_in[15]);
+ vU_[1] = cos(x_in[16]);
+ vU_[2] = cos(x_in[17]);
+ vU_[3] = -8.81e-05 * vU_[2];
+ vU_[4] = sin(x_in[17]);
+ vU_[5] = 0 - vU_[4];
+ vU_[6] = 8.81e-05 * vU_[5];
+ vU_[7] = 0.35 * vU_[4];
+ vU_[8] = 8.81e-05 * vU_[7];
+ vU_[9] = 2. * vU_[8];
+ vU_[10] = -0.35 * vU_[2];
+ vU_[11] = 0 - -8.81e-05 * vU_[10];
+ vU_[12] = 2. * vU_[11];
+ vU_[8] = 0 - vU_[8];
+ vU_[13] = -0.000102 + vU_[9] * vU_[5] + vU_[12] * vU_[2] - vU_[2] * vU_[11] - vU_[4] * vU_[8];
+ vU_[14] = -0.00185880198235362 * vU_[7] - 0.414812462825713 * vU_[10];
+ vU_[15] = 0.881 * vU_[10];
+ vU_[16] = -0.1104774 + vU_[15];
+ vU_[17] = vU_[14] + vU_[16];
+ vU_[18] = 0.880992588508842 * vU_[7] - -0.00185880198235362 * vU_[10];
+ vU_[19] = 0 - 0.881 * vU_[7];
+ vU_[20] = -0.0004405 + vU_[19];
+ vU_[21] = vU_[18] + vU_[20];
+ vU_[16] = 0 - vU_[16];
+ vU_[22] = vU_[2] * vU_[16] + vU_[5] * vU_[20];
+ vU_[23] = 0.47422804 + vU_[17] * vU_[2] + vU_[21] * vU_[4] + vU_[22];
+ vU_[18] = vU_[18] * vU_[7] - vU_[14] * vU_[10];
+ vU_[14] = 0.089871 + vU_[18];
+ vU_[24] = vU_[23] / vU_[14];
+ vU_[25] = vU_[3] * vU_[2] + vU_[6] * vU_[4] - vU_[13] * vU_[24];
+ vU_[26] = sin(x_in[16]);
+ vU_[27] = 0 - vU_[26];
+ vU_[28] = -8.81e-05 * vU_[4];
+ vU_[29] = 8.81e-05 * vU_[2];
+ vU_[8] = 2.1e-05 + vU_[9] * vU_[2] + vU_[12] * vU_[4] + vU_[5] * vU_[11] + vU_[2] * vU_[8];
+ vU_[12] = vU_[28] * vU_[2] + vU_[29] * vU_[4] - vU_[8] * vU_[24];
+ vU_[11] = vU_[1] * vU_[25] + vU_[27] * vU_[12];
+ vU_[16] = vU_[4] * vU_[16] + vU_[2] * vU_[20];
+ vU_[21] = -0.0825825 + vU_[17] * vU_[5] + vU_[21] * vU_[2] - vU_[16];
+ vU_[17] = vU_[21] / vU_[14];
+ vU_[6] = vU_[3] * vU_[5] + vU_[6] * vU_[2] - vU_[13] * vU_[17];
+ vU_[29] = vU_[28] * vU_[5] + vU_[29] * vU_[2] - vU_[8] * vU_[17];
+ vU_[28] = vU_[1] * vU_[6] + vU_[27] * vU_[29];
+ vU_[3] = -0.0004405 * vU_[10] + vU_[19] * vU_[10] - -0.1104774 * vU_[7];
+ vU_[15] = 0.026409 + -0.2209548 * vU_[10] + vU_[15] * vU_[10] - vU_[18];
+ vU_[10] = vU_[4] * vU_[3] + vU_[2] * vU_[15];
+ vU_[19] = 0.000468 - -0.000881 * vU_[7] - vU_[19] * vU_[7] - vU_[18];
+ vU_[3] = vU_[4] * vU_[19] + vU_[2] * vU_[3];
+ vU_[20] = vU_[8] / vU_[14];
+ vU_[16] = 0.0825825 + vU_[16];
+ vU_[9] = 0 - vU_[1];
+ vU_[30] = 0.08 * vU_[9];
+ vU_[31] = 0.08 * vU_[26];
+ vU_[32] = 0 - 4.027 * vU_[31];
+ vU_[22] = -0.47422804 - vU_[22];
+ vU_[33] = -0.007418 + vU_[10] * vU_[5] + vU_[3] * vU_[2] - vU_[13] * vU_[20] + vU_[16] * vU_[30] + vU_[32] * vU_[30] - vU_[22] * vU_[31];
+ vU_[3] = vU_[3] * vU_[4] + vU_[10] * vU_[2];
+ vU_[10] = 4.027 * vU_[30];
+ vU_[34] = -7.4114911576828e-06 * vU_[4] + -0.00185880198235362 * vU_[2];
+ vU_[35] = -0.00185880198235362 * vU_[4] + -0.466187537174287 * vU_[2];
+ vU_[36] = vU_[34] * vU_[4] + vU_[35] * vU_[2];
+ vU_[17] = 3.56080505133456 - vU_[36] - vU_[21] * vU_[17];
+ vU_[35] = vU_[35] * vU_[5] + vU_[34] * vU_[2] - vU_[21] * vU_[24];
+ vU_[34] = vU_[31] * vU_[17] - vU_[30] * vU_[35];
+ vU_[36] = 4.027 + vU_[36] - vU_[23] * vU_[24];
+ vU_[24] = vU_[31] * vU_[35] - vU_[30] * vU_[36];
+ vU_[5] = vU_[34] * vU_[31] - vU_[24] * vU_[30];
+ vU_[20] = 2. * vU_[22] * vU_[30] + 0.087136 + vU_[18] + vU_[3] - vU_[8] * vU_[20] + vU_[10] * vU_[30] - vU_[5];
+ vU_[37] = vU_[27] * vU_[33] + vU_[9] * vU_[20];
+ vU_[3] = 0.005495 + vU_[15] + vU_[19] + vU_[18] - vU_[3] - vU_[13] * vU_[13] / vU_[14] - 2. * vU_[16] * vU_[31] - vU_[32] * vU_[31] - vU_[5];
+ vU_[33] = vU_[27] * vU_[3] + vU_[9] * vU_[33];
+ vU_[19] = -0.022734 + vU_[37] * vU_[27] + vU_[33] * vU_[1];
+ vU_[15] = vU_[27] * vU_[6] + vU_[9] * vU_[29];
+ vU_[18] = vU_[27] * vU_[25] + vU_[9] * vU_[12];
+ vU_[38] = vU_[15] * vU_[1] + vU_[18] * vU_[27];
+ vU_[33] = vU_[33] * vU_[27] + vU_[37] * vU_[9];
+ vU_[37] = 0.011033 + vU_[5] + vU_[33];
+ vU_[39] = vU_[38] / vU_[37];
+ vU_[40] = vU_[11] * vU_[27] + vU_[28] * vU_[1] - vU_[19] * vU_[39];
+ vU_[41] = 0.207 * vU_[0];
+ vU_[42] = sin(x_in[15]);
+ vU_[43] = 0.3735 * vU_[42];
+ vU_[44] = 0 - vU_[0];
+ vU_[45] = -0.3735 * vU_[0];
+ vU_[46] = vU_[42] * vU_[43] + vU_[44] * vU_[45];
+ vU_[10] = vU_[10] + vU_[22];
+ vU_[22] = 0 - vU_[10];
+ vU_[32] = vU_[32] + vU_[16];
+ vU_[16] = vU_[1] * vU_[22] + vU_[27] * vU_[32];
+ vU_[47] = 0.1466472 + vU_[16];
+ vU_[48] = vU_[47] / vU_[37];
+ vU_[49] = 0 - vU_[38] * vU_[48];
+ vU_[50] = vU_[46] * vU_[49];
+ vU_[36] = vU_[36] - 4.027;
+ vU_[51] = vU_[27] * vU_[35] + vU_[9] * vU_[36];
+ vU_[17] = vU_[17] - 4.027;
+ vU_[35] = vU_[27] * vU_[17] + vU_[9] * vU_[35];
+ vU_[18] = vU_[15] * vU_[27] + vU_[18] * vU_[9];
+ vU_[15] = vU_[18] / vU_[37];
+ vU_[52] = vU_[51] * vU_[27] + vU_[35] * vU_[1] - vU_[38] * vU_[15];
+ vU_[53] = vU_[41] * vU_[52];
+ vU_[54] = vU_[50] - vU_[53];
+ vU_[22] = vU_[27] * vU_[22] + vU_[9] * vU_[32];
+ vU_[55] = -0.5824264 - vU_[22] - vU_[19] * vU_[48];
+ vU_[56] = 0.207 * vU_[42];
+ vU_[57] = 7.467 - vU_[47] * vU_[48];
+ vU_[58] = 0 - vU_[47] * vU_[15];
+ vU_[59] = vU_[46] * vU_[57] - vU_[41] * vU_[58];
+ vU_[60] = vU_[40] * vU_[41] + vU_[54] * vU_[41] - vU_[55] * vU_[56] - vU_[59] * vU_[56];
+ vU_[6] = vU_[6] * vU_[31] - vU_[25] * vU_[30];
+ vU_[30] = vU_[29] * vU_[31] - vU_[12] * vU_[30];
+ vU_[29] = 0 - vU_[30];
+ vU_[12] = -5.1e-05 + vU_[27] * vU_[6] + vU_[1] * vU_[29];
+ vU_[48] = 0 - vU_[12] * vU_[48];
+ vU_[25] = vU_[56] * vU_[58];
+ vU_[50] = vU_[25] - vU_[50];
+ vU_[10] = vU_[24] + vU_[10];
+ vU_[32] = vU_[34] + vU_[32];
+ vU_[22] = 0.5824264 + vU_[10] * vU_[27] + vU_[32] * vU_[1] + vU_[22] - vU_[12] * vU_[39];
+ vU_[35] = vU_[35] * vU_[27] + vU_[51] * vU_[9];
+ vU_[17] = 7.467 + vU_[36] + vU_[17] - vU_[35] - vU_[38] * vU_[39];
+ vU_[36] = vU_[56] * vU_[52] - vU_[46] * vU_[17];
+ vU_[39] = vU_[48] * vU_[56] + vU_[50] * vU_[56] - vU_[22] * vU_[41] - vU_[36] * vU_[41];
+ vU_[51] = 0 - vU_[0] * vU_[60] - vU_[42] * vU_[39];
+ vU_[34] = cos(x_in[12]);
+ vU_[24] = 0 - vU_[34];
+ vU_[61] = cos(x_in[13]);
+ vU_[62] = sin(x_in[14]);
+ vU_[63] = 0.35 * vU_[62];
+ vU_[64] = cos(x_in[14]);
+ vU_[65] = -0.35 * vU_[64];
+ vU_[66] = -0.00370574557885489 * vU_[63] - 0.417781802643138 * vU_[65];
+ vU_[67] = 0.881 * vU_[65];
+ vU_[68] = -0.110125 + vU_[67];
+ vU_[69] = vU_[66] + vU_[68];
+ vU_[70] = 0.880970354035369 * vU_[63] - -0.00370574557885489 * vU_[65];
+ vU_[71] = 0 - 0.881 * vU_[63];
+ vU_[72] = -0.000881 + vU_[71];
+ vU_[73] = vU_[70] + vU_[72];
+ vU_[68] = 0 - vU_[68];
+ vU_[74] = 0 - vU_[62];
+ vU_[75] = vU_[64] * vU_[68] + vU_[74] * vU_[72];
+ vU_[76] = 0.47422804 + vU_[69] * vU_[64] + vU_[73] * vU_[62] + vU_[75];
+ vU_[70] = vU_[70] * vU_[63] - vU_[66] * vU_[65];
+ vU_[66] = 0.089871 + vU_[70];
+ vU_[77] = vU_[76] / vU_[66];
+ vU_[78] = 0 - -0.000102 * vU_[77];
+ vU_[79] = sin(x_in[13]);
+ vU_[80] = 0 - vU_[79];
+ vU_[81] = 0 - 2.1e-05 * vU_[77];
+ vU_[82] = vU_[61] * vU_[78] + vU_[80] * vU_[81];
+ vU_[68] = vU_[62] * vU_[68] + vU_[64] * vU_[72];
+ vU_[73] = -0.0825825 + vU_[69] * vU_[74] + vU_[73] * vU_[64] - vU_[68];
+ vU_[69] = vU_[73] / vU_[66];
+ vU_[72] = 0 - -0.000102 * vU_[69];
+ vU_[83] = 0 - 2.1e-05 * vU_[69];
+ vU_[84] = vU_[61] * vU_[72] + vU_[80] * vU_[83];
+ vU_[85] = -0.000881 * vU_[65] + vU_[71] * vU_[65] - -0.110125 * vU_[63];
+ vU_[67] = 0.026409 + -0.22025 * vU_[65] + vU_[67] * vU_[65] - vU_[70];
+ vU_[65] = vU_[62] * vU_[85] + vU_[64] * vU_[67];
+ vU_[71] = 0.000468 - -0.001762 * vU_[63] - vU_[71] * vU_[63] - vU_[70];
+ vU_[85] = vU_[62] * vU_[71] + vU_[64] * vU_[85];
+ vU_[86] = 2.1e-05 / vU_[66];
+ vU_[68] = 0.0825825 + vU_[68];
+ vU_[87] = -0.08 * vU_[61];
+ vU_[88] = -0.08 * vU_[79];
+ vU_[89] = -1 * vU_[88];
+ vU_[90] = 0 - 4.027 * vU_[89];
+ vU_[75] = -0.47422804 - vU_[75];
+ vU_[91] = -0.007418 + vU_[65] * vU_[74] + vU_[85] * vU_[64] - -0.000102 * vU_[86] + vU_[68] * vU_[87] + vU_[90] * vU_[87] - vU_[75] * vU_[89];
+ vU_[85] = vU_[85] * vU_[62] + vU_[65] * vU_[64];
+ vU_[65] = 4.027 * vU_[87];
+ vU_[92] = -2.96459646308422e-05 * vU_[62] + -0.00370574557885489 * vU_[64];
+ vU_[93] = -0.00370574557885489 * vU_[62] + -0.463218197356862 * vU_[64];
+ vU_[94] = vU_[92] * vU_[62] + vU_[93] * vU_[64];
+ vU_[69] = 3.56375215667851 - vU_[94] - vU_[73] * vU_[69];
+ vU_[93] = vU_[93] * vU_[74] + vU_[92] * vU_[64] - vU_[73] * vU_[77];
+ vU_[92] = vU_[89] * vU_[69] - vU_[87] * vU_[93];
+ vU_[94] = 4.027 + vU_[94] - vU_[76] * vU_[77];
+ vU_[77] = vU_[89] * vU_[93] - vU_[87] * vU_[94];
+ vU_[74] = vU_[92] * vU_[89] - vU_[77] * vU_[87];
+ vU_[86] = 2. * vU_[75] * vU_[87] + 0.087136 + vU_[70] + vU_[85] - 2.1e-05 * vU_[86] + vU_[65] * vU_[87] - vU_[74];
+ vU_[95] = vU_[79] * vU_[91] + vU_[61] * vU_[86];
+ vU_[85] = 0.005495 + vU_[67] + vU_[71] + vU_[70] - vU_[85] - -0.000102 * -0.000102 / vU_[66] - 2. * vU_[68] * vU_[89] - vU_[90] * vU_[89] - vU_[74];
+ vU_[91] = vU_[79] * vU_[85] + vU_[61] * vU_[91];
+ vU_[71] = 0.022734 + vU_[95] * vU_[80] + vU_[91] * vU_[61];
+ vU_[67] = vU_[79] * vU_[72] + vU_[61] * vU_[83];
+ vU_[70] = vU_[79] * vU_[78] + vU_[61] * vU_[81];
+ vU_[96] = vU_[67] * vU_[61] + vU_[70] * vU_[80];
+ vU_[91] = vU_[91] * vU_[79] + vU_[95] * vU_[61];
+ vU_[95] = 0.011033 + vU_[74] + vU_[91];
+ vU_[97] = vU_[96] / vU_[95];
+ vU_[98] = vU_[82] * vU_[80] + vU_[84] * vU_[61] - vU_[71] * vU_[97];
+ vU_[99] = -0.207 * vU_[34];
+ vU_[100] = -1 * vU_[99];
+ vU_[101] = sin(x_in[12]);
+ vU_[102] = 0 - vU_[101];
+ vU_[103] = 0.3735 * vU_[101];
+ vU_[104] = 0.3735 * vU_[34];
+ vU_[105] = vU_[102] * vU_[103] + vU_[24] * vU_[104];
+ vU_[65] = vU_[65] + vU_[75];
+ vU_[75] = 0 - vU_[65];
+ vU_[90] = vU_[90] + vU_[68];
+ vU_[68] = vU_[61] * vU_[75] + vU_[80] * vU_[90];
+ vU_[106] = 0.1466472 + vU_[68];
+ vU_[107] = vU_[106] / vU_[95];
+ vU_[108] = 0 - vU_[96] * vU_[107];
+ vU_[109] = vU_[105] * vU_[108];
+ vU_[94] = vU_[94] - 4.027;
+ vU_[110] = vU_[79] * vU_[93] + vU_[61] * vU_[94];
+ vU_[69] = vU_[69] - 4.027;
+ vU_[93] = vU_[79] * vU_[69] + vU_[61] * vU_[93];
+ vU_[70] = vU_[67] * vU_[79] + vU_[70] * vU_[61];
+ vU_[67] = vU_[70] / vU_[95];
+ vU_[111] = vU_[110] * vU_[80] + vU_[93] * vU_[61] - vU_[96] * vU_[67];
+ vU_[112] = vU_[100] * vU_[111];
+ vU_[113] = vU_[109] - vU_[112];
+ vU_[75] = vU_[79] * vU_[75] + vU_[61] * vU_[90];
+ vU_[114] = 0.5824264 - vU_[75] - vU_[71] * vU_[107];
+ vU_[115] = 0.207 * vU_[101];
+ vU_[116] = 7.467 - vU_[106] * vU_[107];
+ vU_[117] = 0 - vU_[106] * vU_[67];
+ vU_[118] = vU_[105] * vU_[116] - vU_[100] * vU_[117];
+ vU_[119] = vU_[98] * vU_[100] + vU_[113] * vU_[100] - vU_[114] * vU_[115] - vU_[118] * vU_[115];
+ vU_[72] = vU_[72] * vU_[89] - vU_[78] * vU_[87];
+ vU_[89] = vU_[83] * vU_[89] - vU_[81] * vU_[87];
+ vU_[87] = 0 - vU_[89];
+ vU_[83] = -5.1e-05 + vU_[80] * vU_[72] + vU_[61] * vU_[87];
+ vU_[107] = 0 - vU_[83] * vU_[107];
+ vU_[81] = vU_[115] * vU_[117];
+ vU_[109] = vU_[81] - vU_[109];
+ vU_[65] = -1 * (vU_[77] + vU_[65]);
+ vU_[90] = -1 * (vU_[92] + vU_[90]);
+ vU_[75] = -0.5824264 + vU_[65] * vU_[80] + vU_[90] * vU_[61] + vU_[75] - vU_[83] * vU_[97];
+ vU_[93] = vU_[93] * vU_[79] + vU_[110] * vU_[61];
+ vU_[69] = 7.467 + vU_[94] + vU_[69] - vU_[93] - vU_[96] * vU_[97];
+ vU_[94] = vU_[115] * vU_[111] - vU_[105] * vU_[69];
+ vU_[97] = vU_[107] * vU_[115] + vU_[109] * vU_[115] - vU_[75] * vU_[100] - vU_[94] * vU_[100];
+ vU_[110] = 0 - vU_[24] * vU_[119] - vU_[102] * vU_[97];
+ vU_[92] = cos(x_in[9]);
+ vU_[77] = cos(x_in[10]);
+ vU_[78] = cos(x_in[11]);
+ vU_[120] = 8.81e-05 * vU_[78];
+ vU_[121] = sin(x_in[11]);
+ vU_[122] = 0 - vU_[121];
+ vU_[123] = -8.81e-05 * vU_[122];
+ vU_[124] = 0.35 * vU_[121];
+ vU_[125] = -8.81e-05 * vU_[124];
+ vU_[126] = 2. * vU_[125];
+ vU_[127] = -0.35 * vU_[78];
+ vU_[128] = 0 - 8.81e-05 * vU_[127];
+ vU_[129] = 2. * vU_[128];
+ vU_[125] = 0 - vU_[125];
+ vU_[130] = 0.000102 + vU_[126] * vU_[122] + vU_[129] * vU_[78] - vU_[78] * vU_[128] - vU_[121] * vU_[125];
+ vU_[131] = 0.00185880198235362 * vU_[124] - 0.414812462825713 * vU_[127];
+ vU_[132] = 0.881 * vU_[127];
+ vU_[133] = -0.1104774 + vU_[132];
+ vU_[134] = vU_[131] + vU_[133];
+ vU_[135] = 0.880992588508842 * vU_[124] - 0.00185880198235362 * vU_[127];
+ vU_[136] = 0 - 0.881 * vU_[124];
+ vU_[137] = 0.0004405 + vU_[136];
+ vU_[138] = vU_[135] + vU_[137];
+ vU_[133] = 0 - vU_[133];
+ vU_[139] = vU_[78] * vU_[133] + vU_[122] * vU_[137];
+ vU_[140] = 0.47422804 + vU_[134] * vU_[78] + vU_[138] * vU_[121] + vU_[139];
+ vU_[135] = vU_[135] * vU_[124] - vU_[131] * vU_[127];
+ vU_[131] = 0.089871 + vU_[135];
+ vU_[141] = vU_[140] / vU_[131];
+ vU_[142] = vU_[120] * vU_[78] + vU_[123] * vU_[121] - vU_[130] * vU_[141];
+ vU_[143] = sin(x_in[10]);
+ vU_[144] = 0 - vU_[143];
+ vU_[145] = 8.81e-05 * vU_[121];
+ vU_[146] = -8.81e-05 * vU_[78];
+ vU_[125] = 2.1e-05 + vU_[126] * vU_[78] + vU_[129] * vU_[121] + vU_[122] * vU_[128] + vU_[78] * vU_[125];
+ vU_[129] = vU_[145] * vU_[78] + vU_[146] * vU_[121] - vU_[125] * vU_[141];
+ vU_[128] = vU_[77] * vU_[142] + vU_[144] * vU_[129];
+ vU_[133] = vU_[121] * vU_[133] + vU_[78] * vU_[137];
+ vU_[138] = 0.0825825 + vU_[134] * vU_[122] + vU_[138] * vU_[78] - vU_[133];
+ vU_[134] = vU_[138] / vU_[131];
+ vU_[123] = vU_[120] * vU_[122] + vU_[123] * vU_[78] - vU_[130] * vU_[134];
+ vU_[146] = vU_[145] * vU_[122] + vU_[146] * vU_[78] - vU_[125] * vU_[134];
+ vU_[145] = vU_[77] * vU_[123] + vU_[144] * vU_[146];
+ vU_[120] = 0.0004405 * vU_[127] + vU_[136] * vU_[127] - -0.1104774 * vU_[124];
+ vU_[132] = 0.026409 + -0.2209548 * vU_[127] + vU_[132] * vU_[127] - vU_[135];
+ vU_[127] = vU_[121] * vU_[120] + vU_[78] * vU_[132];
+ vU_[136] = 0.000468 - 0.000881 * vU_[124] - vU_[136] * vU_[124] - vU_[135];
+ vU_[120] = vU_[121] * vU_[136] + vU_[78] * vU_[120];
+ vU_[137] = vU_[125] / vU_[131];
+ vU_[133] = -0.0825825 + vU_[133];
+ vU_[126] = 0 - vU_[77];
+ vU_[147] = 0.08 * vU_[126];
+ vU_[148] = 0.08 * vU_[143];
+ vU_[149] = 0 - 4.027 * vU_[148];
+ vU_[139] = -0.47422804 - vU_[139];
+ vU_[150] = 0.007418 + vU_[127] * vU_[122] + vU_[120] * vU_[78] - vU_[130] * vU_[137] + vU_[133] * vU_[147] + vU_[149] * vU_[147] - vU_[139] * vU_[148];
+ vU_[120] = vU_[120] * vU_[121] + vU_[127] * vU_[78];
+ vU_[127] = 4.027 * vU_[147];
+ vU_[151] = -7.4114911576828e-06 * vU_[121] + 0.00185880198235362 * vU_[78];
+ vU_[152] = 0.00185880198235362 * vU_[121] + -0.466187537174287 * vU_[78];
+ vU_[153] = vU_[151] * vU_[121] + vU_[152] * vU_[78];
+ vU_[134] = 3.56080505133456 - vU_[153] - vU_[138] * vU_[134];
+ vU_[152] = vU_[152] * vU_[122] + vU_[151] * vU_[78] - vU_[138] * vU_[141];
+ vU_[151] = vU_[148] * vU_[134] - vU_[147] * vU_[152];
+ vU_[153] = 4.027 + vU_[153] - vU_[140] * vU_[141];
+ vU_[141] = vU_[148] * vU_[152] - vU_[147] * vU_[153];
+ vU_[122] = vU_[151] * vU_[148] - vU_[141] * vU_[147];
+ vU_[137] = 2. * vU_[139] * vU_[147] + 0.087136 + vU_[135] + vU_[120] - vU_[125] * vU_[137] + vU_[127] * vU_[147] - vU_[122];
+ vU_[154] = vU_[144] * vU_[150] + vU_[126] * vU_[137];
+ vU_[120] = 0.005495 + vU_[132] + vU_[136] + vU_[135] - vU_[120] - vU_[130] * vU_[130] / vU_[131] - 2. * vU_[133] * vU_[148] - vU_[149] * vU_[148] - vU_[122];
+ vU_[150] = vU_[144] * vU_[120] + vU_[126] * vU_[150];
+ vU_[136] = 0.022734 + vU_[154] * vU_[144] + vU_[150] * vU_[77];
+ vU_[132] = vU_[144] * vU_[123] + vU_[126] * vU_[146];
+ vU_[135] = vU_[144] * vU_[142] + vU_[126] * vU_[129];
+ vU_[155] = vU_[132] * vU_[77] + vU_[135] * vU_[144];
+ vU_[150] = vU_[150] * vU_[144] + vU_[154] * vU_[126];
+ vU_[154] = 0.011033 + vU_[122] + vU_[150];
+ vU_[156] = vU_[155] / vU_[154];
+ vU_[157] = vU_[128] * vU_[144] + vU_[145] * vU_[77] - vU_[136] * vU_[156];
+ vU_[158] = 0.207 * vU_[92];
+ vU_[159] = sin(x_in[9]);
+ vU_[160] = -0.3735 * vU_[159];
+ vU_[161] = 0 - vU_[92];
+ vU_[162] = 0.3735 * vU_[92];
+ vU_[163] = vU_[159] * vU_[160] + vU_[161] * vU_[162];
+ vU_[127] = vU_[127] + vU_[139];
+ vU_[139] = 0 - vU_[127];
+ vU_[149] = vU_[149] + vU_[133];
+ vU_[133] = vU_[77] * vU_[139] + vU_[144] * vU_[149];
+ vU_[164] = 0.1466472 + vU_[133];
+ vU_[165] = vU_[164] / vU_[154];
+ vU_[166] = 0 - vU_[155] * vU_[165];
+ vU_[167] = vU_[163] * vU_[166];
+ vU_[153] = vU_[153] - 4.027;
+ vU_[168] = vU_[144] * vU_[152] + vU_[126] * vU_[153];
+ vU_[134] = vU_[134] - 4.027;
+ vU_[152] = vU_[144] * vU_[134] + vU_[126] * vU_[152];
+ vU_[135] = vU_[132] * vU_[144] + vU_[135] * vU_[126];
+ vU_[132] = vU_[135] / vU_[154];
+ vU_[169] = vU_[168] * vU_[144] + vU_[152] * vU_[77] - vU_[155] * vU_[132];
+ vU_[170] = vU_[158] * vU_[169];
+ vU_[171] = vU_[167] - vU_[170];
+ vU_[139] = vU_[144] * vU_[139] + vU_[126] * vU_[149];
+ vU_[172] = 0.5824264 - vU_[139] - vU_[136] * vU_[165];
+ vU_[173] = 0.207 * vU_[159];
+ vU_[174] = 7.467 - vU_[164] * vU_[165];
+ vU_[175] = 0 - vU_[164] * vU_[132];
+ vU_[176] = vU_[163] * vU_[174] - vU_[158] * vU_[175];
+ vU_[177] = vU_[157] * vU_[158] + vU_[171] * vU_[158] - vU_[172] * vU_[173] - vU_[176] * vU_[173];
+ vU_[123] = vU_[123] * vU_[148] - vU_[142] * vU_[147];
+ vU_[147] = vU_[146] * vU_[148] - vU_[129] * vU_[147];
+ vU_[146] = 0 - vU_[147];
+ vU_[129] = -5.1e-05 + vU_[144] * vU_[123] + vU_[77] * vU_[146];
+ vU_[165] = 0 - vU_[129] * vU_[165];
+ vU_[142] = vU_[173] * vU_[175];
+ vU_[167] = vU_[142] - vU_[167];
+ vU_[127] = vU_[141] + vU_[127];
+ vU_[149] = vU_[151] + vU_[149];
+ vU_[139] = -0.5824264 + vU_[127] * vU_[144] + vU_[149] * vU_[77] + vU_[139] - vU_[129] * vU_[156];
+ vU_[152] = vU_[152] * vU_[144] + vU_[168] * vU_[126];
+ vU_[134] = 7.467 + vU_[153] + vU_[134] - vU_[152] - vU_[155] * vU_[156];
+ vU_[153] = vU_[173] * vU_[169] - vU_[163] * vU_[134];
+ vU_[156] = vU_[165] * vU_[173] + vU_[167] * vU_[173] - vU_[139] * vU_[158] - vU_[153] * vU_[158];
+ vU_[168] = 0 - vU_[92] * vU_[177] - vU_[159] * vU_[156];
+ vU_[151] = cos(x_in[6]);
+ vU_[141] = 0 - vU_[151];
+ vU_[178] = cos(x_in[7]);
+ vU_[179] = cos(x_in[8]);
+ vU_[180] = 8.81e-05 * vU_[179];
+ vU_[181] = sin(x_in[8]);
+ vU_[182] = 0 - vU_[181];
+ vU_[183] = -8.81e-05 * vU_[182];
+ vU_[184] = 0.35 * vU_[181];
+ vU_[185] = -8.81e-05 * vU_[184];
+ vU_[186] = 2. * vU_[185];
+ vU_[187] = -0.35 * vU_[179];
+ vU_[188] = 0 - 8.81e-05 * vU_[187];
+ vU_[189] = 2. * vU_[188];
+ vU_[185] = 0 - vU_[185];
+ vU_[190] = 0.000102 + vU_[186] * vU_[182] + vU_[189] * vU_[179] - vU_[179] * vU_[188] - vU_[181] * vU_[185];
+ vU_[191] = 0.00185880198235362 * vU_[184] - 0.414812462825713 * vU_[187];
+ vU_[192] = 0.881 * vU_[187];
+ vU_[193] = -0.1104774 + vU_[192];
+ vU_[194] = vU_[191] + vU_[193];
+ vU_[195] = 0.880992588508842 * vU_[184] - 0.00185880198235362 * vU_[187];
+ vU_[196] = 0 - 0.881 * vU_[184];
+ vU_[197] = 0.0004405 + vU_[196];
+ vU_[198] = vU_[195] + vU_[197];
+ vU_[193] = 0 - vU_[193];
+ vU_[199] = vU_[179] * vU_[193] + vU_[182] * vU_[197];
+ vU_[200] = 0.47422804 + vU_[194] * vU_[179] + vU_[198] * vU_[181] + vU_[199];
+ vU_[195] = vU_[195] * vU_[184] - vU_[191] * vU_[187];
+ vU_[191] = 0.089871 + vU_[195];
+ vU_[201] = vU_[200] / vU_[191];
+ vU_[202] = vU_[180] * vU_[179] + vU_[183] * vU_[181] - vU_[190] * vU_[201];
+ vU_[203] = sin(x_in[7]);
+ vU_[204] = 0 - vU_[203];
+ vU_[205] = 8.81e-05 * vU_[181];
+ vU_[206] = -8.81e-05 * vU_[179];
+ vU_[185] = 2.1e-05 + vU_[186] * vU_[179] + vU_[189] * vU_[181] + vU_[182] * vU_[188] + vU_[179] * vU_[185];
+ vU_[189] = vU_[205] * vU_[179] + vU_[206] * vU_[181] - vU_[185] * vU_[201];
+ vU_[188] = vU_[178] * vU_[202] + vU_[204] * vU_[189];
+ vU_[193] = vU_[181] * vU_[193] + vU_[179] * vU_[197];
+ vU_[198] = 0.0825825 + vU_[194] * vU_[182] + vU_[198] * vU_[179] - vU_[193];
+ vU_[194] = vU_[198] / vU_[191];
+ vU_[183] = vU_[180] * vU_[182] + vU_[183] * vU_[179] - vU_[190] * vU_[194];
+ vU_[206] = vU_[205] * vU_[182] + vU_[206] * vU_[179] - vU_[185] * vU_[194];
+ vU_[205] = vU_[178] * vU_[183] + vU_[204] * vU_[206];
+ vU_[180] = 0.0004405 * vU_[187] + vU_[196] * vU_[187] - -0.1104774 * vU_[184];
+ vU_[192] = 0.026409 + -0.2209548 * vU_[187] + vU_[192] * vU_[187] - vU_[195];
+ vU_[187] = vU_[181] * vU_[180] + vU_[179] * vU_[192];
+ vU_[196] = 0.000468 - 0.000881 * vU_[184] - vU_[196] * vU_[184] - vU_[195];
+ vU_[180] = vU_[181] * vU_[196] + vU_[179] * vU_[180];
+ vU_[197] = vU_[185] / vU_[191];
+ vU_[193] = -0.0825825 + vU_[193];
+ vU_[186] = -0.08 * vU_[178];
+ vU_[207] = -0.08 * vU_[203];
+ vU_[208] = -1 * vU_[207];
+ vU_[209] = 0 - 4.027 * vU_[208];
+ vU_[199] = -0.47422804 - vU_[199];
+ vU_[210] = 0.007418 + vU_[187] * vU_[182] + vU_[180] * vU_[179] - vU_[190] * vU_[197] + vU_[193] * vU_[186] + vU_[209] * vU_[186] - vU_[199] * vU_[208];
+ vU_[180] = vU_[180] * vU_[181] + vU_[187] * vU_[179];
+ vU_[187] = 4.027 * vU_[186];
+ vU_[211] = -7.4114911576828e-06 * vU_[181] + 0.00185880198235362 * vU_[179];
+ vU_[212] = 0.00185880198235362 * vU_[181] + -0.466187537174287 * vU_[179];
+ vU_[213] = vU_[211] * vU_[181] + vU_[212] * vU_[179];
+ vU_[194] = 3.56080505133456 - vU_[213] - vU_[198] * vU_[194];
+ vU_[212] = vU_[212] * vU_[182] + vU_[211] * vU_[179] - vU_[198] * vU_[201];
+ vU_[211] = vU_[208] * vU_[194] - vU_[186] * vU_[212];
+ vU_[213] = 4.027 + vU_[213] - vU_[200] * vU_[201];
+ vU_[201] = vU_[208] * vU_[212] - vU_[186] * vU_[213];
+ vU_[182] = vU_[211] * vU_[208] - vU_[201] * vU_[186];
+ vU_[197] = 2. * vU_[199] * vU_[186] + 0.087136 + vU_[195] + vU_[180] - vU_[185] * vU_[197] + vU_[187] * vU_[186] - vU_[182];
+ vU_[214] = vU_[203] * vU_[210] + vU_[178] * vU_[197];
+ vU_[180] = 0.005495 + vU_[192] + vU_[196] + vU_[195] - vU_[180] - vU_[190] * vU_[190] / vU_[191] - 2. * vU_[193] * vU_[208] - vU_[209] * vU_[208] - vU_[182];
+ vU_[210] = vU_[203] * vU_[180] + vU_[178] * vU_[210];
+ vU_[196] = -0.022734 + vU_[214] * vU_[204] + vU_[210] * vU_[178];
+ vU_[192] = vU_[203] * vU_[183] + vU_[178] * vU_[206];
+ vU_[195] = vU_[203] * vU_[202] + vU_[178] * vU_[189];
+ vU_[215] = vU_[192] * vU_[178] + vU_[195] * vU_[204];
+ vU_[210] = vU_[210] * vU_[203] + vU_[214] * vU_[178];
+ vU_[214] = 0.011033 + vU_[182] + vU_[210];
+ vU_[216] = vU_[215] / vU_[214];
+ vU_[217] = vU_[188] * vU_[204] + vU_[205] * vU_[178] - vU_[196] * vU_[216];
+ vU_[218] = -0.207 * vU_[151];
+ vU_[219] = -1 * vU_[218];
+ vU_[220] = sin(x_in[6]);
+ vU_[221] = 0 - vU_[220];
+ vU_[222] = -0.3735 * vU_[220];
+ vU_[223] = -0.3735 * vU_[151];
+ vU_[224] = vU_[221] * vU_[222] + vU_[141] * vU_[223];
+ vU_[187] = vU_[187] + vU_[199];
+ vU_[199] = 0 - vU_[187];
+ vU_[209] = vU_[209] + vU_[193];
+ vU_[193] = vU_[178] * vU_[199] + vU_[204] * vU_[209];
+ vU_[225] = 0.1466472 + vU_[193];
+ vU_[226] = vU_[225] / vU_[214];
+ vU_[227] = 0 - vU_[215] * vU_[226];
+ vU_[228] = vU_[224] * vU_[227];
+ vU_[213] = vU_[213] - 4.027;
+ vU_[229] = vU_[203] * vU_[212] + vU_[178] * vU_[213];
+ vU_[194] = vU_[194] - 4.027;
+ vU_[212] = vU_[203] * vU_[194] + vU_[178] * vU_[212];
+ vU_[195] = vU_[192] * vU_[203] + vU_[195] * vU_[178];
+ vU_[192] = vU_[195] / vU_[214];
+ vU_[230] = vU_[229] * vU_[204] + vU_[212] * vU_[178] - vU_[215] * vU_[192];
+ vU_[231] = vU_[219] * vU_[230];
+ vU_[232] = vU_[228] - vU_[231];
+ vU_[199] = vU_[203] * vU_[199] + vU_[178] * vU_[209];
+ vU_[233] = -0.5824264 - vU_[199] - vU_[196] * vU_[226];
+ vU_[234] = 0.207 * vU_[220];
+ vU_[235] = 7.467 - vU_[225] * vU_[226];
+ vU_[236] = 0 - vU_[225] * vU_[192];
+ vU_[237] = vU_[224] * vU_[235] - vU_[219] * vU_[236];
+ vU_[238] = vU_[217] * vU_[219] + vU_[232] * vU_[219] - vU_[233] * vU_[234] - vU_[237] * vU_[234];
+ vU_[183] = vU_[183] * vU_[208] - vU_[202] * vU_[186];
+ vU_[208] = vU_[206] * vU_[208] - vU_[189] * vU_[186];
+ vU_[186] = 0 - vU_[208];
+ vU_[206] = -5.1e-05 + vU_[204] * vU_[183] + vU_[178] * vU_[186];
+ vU_[226] = 0 - vU_[206] * vU_[226];
+ vU_[189] = vU_[234] * vU_[236];
+ vU_[228] = vU_[189] - vU_[228];
+ vU_[187] = -1 * (vU_[201] + vU_[187]);
+ vU_[209] = -1 * (vU_[211] + vU_[209]);
+ vU_[199] = 0.5824264 + vU_[187] * vU_[204] + vU_[209] * vU_[178] + vU_[199] - vU_[206] * vU_[216];
+ vU_[212] = vU_[212] * vU_[203] + vU_[229] * vU_[178];
+ vU_[194] = 7.467 + vU_[213] + vU_[194] - vU_[212] - vU_[215] * vU_[216];
+ vU_[213] = vU_[234] * vU_[230] - vU_[224] * vU_[194];
+ vU_[216] = vU_[226] * vU_[234] + vU_[228] * vU_[234] - vU_[199] * vU_[219] - vU_[213] * vU_[219];
+ vU_[229] = 0 - vU_[141] * vU_[238] - vU_[221] * vU_[216];
+ vU_[32] = -0.1466472 + vU_[10] * vU_[9] + vU_[32] * vU_[27] - vU_[16] - vU_[12] * vU_[15];
+ vU_[10] = vU_[12] / vU_[37];
+ vU_[35] = 7.467 + vU_[35] - vU_[18] * vU_[15];
+ vU_[16] = vU_[56] * vU_[35] - vU_[46] * vU_[52];
+ vU_[211] = vU_[41] * vU_[17] - vU_[56] * vU_[49];
+ vU_[201] = vU_[41] * vU_[49] - vU_[56] * vU_[57];
+ vU_[202] = vU_[211] * vU_[41] - vU_[201] * vU_[56];
+ vU_[239] = 2. * vU_[32] * vU_[56] + 0.144171 + vU_[5] - vU_[12] * vU_[10] + vU_[16] * vU_[56] - 2. * vU_[22] * vU_[46] - vU_[36] * vU_[46] - vU_[202];
+ vU_[15] = vU_[11] * vU_[9] + vU_[28] * vU_[27] - vU_[19] * vU_[15];
+ vU_[28] = vU_[46] * vU_[58] - vU_[41] * vU_[35];
+ vU_[33] = 2. * vU_[55] * vU_[46] + 0.134705 + vU_[20] + vU_[3] + vU_[5] - vU_[33] - vU_[19] * vU_[19] / vU_[37] + vU_[59] * vU_[46] - 2. * vU_[15] * vU_[41] - vU_[28] * vU_[41] - vU_[202];
+ vU_[90] = -0.1466472 + vU_[65] * vU_[61] + vU_[90] * vU_[79] - vU_[68] - vU_[83] * vU_[67];
+ vU_[65] = vU_[83] / vU_[95];
+ vU_[93] = 7.467 + vU_[93] - vU_[70] * vU_[67];
+ vU_[68] = vU_[115] * vU_[93] - vU_[105] * vU_[111];
+ vU_[3] = vU_[100] * vU_[69] - vU_[115] * vU_[108];
+ vU_[20] = vU_[100] * vU_[108] - vU_[115] * vU_[116];
+ vU_[5] = vU_[3] * vU_[100] - vU_[20] * vU_[115];
+ vU_[11] = 2. * vU_[90] * vU_[115] + 0.144171 + vU_[74] - vU_[83] * vU_[65] + vU_[68] * vU_[115] - 2. * vU_[75] * vU_[105] - vU_[94] * vU_[105] - vU_[5];
+ vU_[67] = vU_[82] * vU_[61] + vU_[84] * vU_[79] - vU_[71] * vU_[67];
+ vU_[84] = vU_[105] * vU_[117] - vU_[100] * vU_[93];
+ vU_[91] = 2. * vU_[114] * vU_[105] + 0.134705 + vU_[86] + vU_[85] + vU_[74] - vU_[91] - vU_[71] * vU_[71] / vU_[95] + vU_[118] * vU_[105] - 2. * vU_[67] * vU_[100] - vU_[84] * vU_[100] - vU_[5];
+ vU_[149] = -0.1466472 + vU_[127] * vU_[126] + vU_[149] * vU_[144] - vU_[133] - vU_[129] * vU_[132];
+ vU_[127] = vU_[129] / vU_[154];
+ vU_[152] = 7.467 + vU_[152] - vU_[135] * vU_[132];
+ vU_[133] = vU_[173] * vU_[152] - vU_[163] * vU_[169];
+ vU_[85] = vU_[158] * vU_[134] - vU_[173] * vU_[166];
+ vU_[86] = vU_[158] * vU_[166] - vU_[173] * vU_[174];
+ vU_[74] = vU_[85] * vU_[158] - vU_[86] * vU_[173];
+ vU_[82] = 2. * vU_[149] * vU_[173] + 0.144171 + vU_[122] - vU_[129] * vU_[127] + vU_[133] * vU_[173] - 2. * vU_[139] * vU_[163] - vU_[153] * vU_[163] - vU_[74];
+ vU_[132] = vU_[128] * vU_[126] + vU_[145] * vU_[144] - vU_[136] * vU_[132];
+ vU_[145] = vU_[163] * vU_[175] - vU_[158] * vU_[152];
+ vU_[150] = 2. * vU_[172] * vU_[163] + 0.134705 + vU_[137] + vU_[120] + vU_[122] - vU_[150] - vU_[136] * vU_[136] / vU_[154] + vU_[176] * vU_[163] - 2. * vU_[132] * vU_[158] - vU_[145] * vU_[158] - vU_[74];
+ vU_[209] = -0.1466472 + vU_[187] * vU_[178] + vU_[209] * vU_[203] - vU_[193] - vU_[206] * vU_[192];
+ vU_[187] = vU_[206] / vU_[214];
+ vU_[212] = 7.467 + vU_[212] - vU_[195] * vU_[192];
+ vU_[193] = vU_[234] * vU_[212] - vU_[224] * vU_[230];
+ vU_[120] = vU_[219] * vU_[194] - vU_[234] * vU_[227];
+ vU_[137] = vU_[219] * vU_[227] - vU_[234] * vU_[235];
+ vU_[122] = vU_[120] * vU_[219] - vU_[137] * vU_[234];
+ vU_[128] = 2. * vU_[209] * vU_[234] + 0.144171 + vU_[182] - vU_[206] * vU_[187] + vU_[193] * vU_[234] - 2. * vU_[199] * vU_[224] - vU_[213] * vU_[224] - vU_[122];
+ vU_[192] = vU_[188] * vU_[178] + vU_[205] * vU_[203] - vU_[196] * vU_[192];
+ vU_[205] = vU_[224] * vU_[236] - vU_[219] * vU_[212];
+ vU_[210] = 2. * vU_[233] * vU_[224] + 0.134705 + vU_[197] + vU_[180] + vU_[182] - vU_[210] - vU_[196] * vU_[196] / vU_[214] + vU_[237] * vU_[224] - 2. * vU_[192] * vU_[219] - vU_[205] * vU_[219] - vU_[122];
+ vU_[10] = vU_[48] * vU_[46] + -3.6e-05 + 2. * vU_[30] * vU_[27] + 2. * vU_[6] * vU_[1] + vU_[9] * vU_[6] + vU_[27] * vU_[29] - vU_[19] * vU_[10] + vU_[15] * vU_[56] + vU_[28] * vU_[56] - vU_[40] * vU_[46] - vU_[32] * vU_[41] - vU_[54] * vU_[46];
+ vU_[29] = vU_[42] * vU_[10];
+ vU_[30] = (vU_[42] * vU_[33] + vU_[0] * vU_[10]) * vU_[42] + (vU_[29] + vU_[0] * vU_[239]) * vU_[0];
+ vU_[29] = vU_[44] * vU_[33] + vU_[29];
+ vU_[10] = vU_[44] * vU_[10] + vU_[42] * vU_[239];
+ vU_[6] = vU_[29] * vU_[44] + vU_[10] * vU_[42];
+ vU_[65] = vU_[107] * vU_[105] + 3.6e-05 + -1 * 2. * vU_[89] * vU_[80] + -1 * 2. * vU_[72] * vU_[61] + vU_[61] * vU_[72] + vU_[79] * vU_[87] - vU_[71] * vU_[65] + vU_[67] * vU_[115] + vU_[84] * vU_[115] - vU_[98] * vU_[105] - vU_[90] * vU_[100] - vU_[113] * vU_[105];
+ vU_[87] = vU_[24] * vU_[65];
+ vU_[89] = (vU_[102] * vU_[91] + vU_[87]) * vU_[102] + (vU_[102] * vU_[65] + vU_[24] * vU_[11]) * vU_[24];
+ vU_[65] = vU_[24] * vU_[91] + vU_[101] * vU_[65];
+ vU_[87] = vU_[87] + vU_[101] * vU_[11];
+ vU_[72] = vU_[65] * vU_[24] + vU_[87] * vU_[101];
+ vU_[127] = vU_[165] * vU_[163] + 3.6e-05 + 2. * vU_[147] * vU_[144] + 2. * vU_[123] * vU_[77] + vU_[126] * vU_[123] + vU_[144] * vU_[146] - vU_[136] * vU_[127] + vU_[132] * vU_[173] + vU_[145] * vU_[173] - vU_[157] * vU_[163] - vU_[149] * vU_[158] - vU_[171] * vU_[163];
+ vU_[146] = vU_[159] * vU_[127];
+ vU_[147] = (vU_[159] * vU_[150] + vU_[92] * vU_[127]) * vU_[159] + (vU_[146] + vU_[92] * vU_[82]) * vU_[92];
+ vU_[146] = vU_[161] * vU_[150] + vU_[146];
+ vU_[127] = vU_[161] * vU_[127] + vU_[159] * vU_[82];
+ vU_[123] = vU_[146] * vU_[161] + vU_[127] * vU_[159];
+ vU_[187] = vU_[226] * vU_[224] + -3.6e-05 + -1 * 2. * vU_[208] * vU_[204] + -1 * 2. * vU_[183] * vU_[178] + vU_[178] * vU_[183] + vU_[203] * vU_[186] - vU_[196] * vU_[187] + vU_[192] * vU_[234] + vU_[205] * vU_[234] - vU_[217] * vU_[224] - vU_[209] * vU_[219] - vU_[232] * vU_[224];
+ vU_[186] = vU_[141] * vU_[187];
+ vU_[208] = (vU_[221] * vU_[210] + vU_[186]) * vU_[221] + (vU_[221] * vU_[187] + vU_[141] * vU_[128]) * vU_[141];
+ vU_[187] = vU_[141] * vU_[210] + vU_[220] * vU_[187];
+ vU_[186] = vU_[186] + vU_[220] * vU_[128];
+ vU_[183] = vU_[187] * vU_[141] + vU_[186] * vU_[220];
+ vU_[210] = 1.209488 + vU_[239] + vU_[33] + vU_[202] + vU_[11] + vU_[91] + vU_[5] + vU_[82] + vU_[150] + vU_[74] + vU_[128] + vU_[210] + vU_[122] - vU_[30] - vU_[6] - vU_[89] - vU_[72] - vU_[147] - vU_[123] - vU_[208] - vU_[183];
+ vU_[128] = (0.190812 + vU_[51] + vU_[110] + vU_[168] + vU_[229]) / vU_[210];
+ vU_[150] = vU_[206] / vU_[214];
+ vU_[82] = vU_[196] / vU_[214];
+ vU_[91] = vU_[195] / vU_[214];
+ vU_[11] = vU_[225] / vU_[214];
+ vU_[33] = -0.3735 * vU_[220];
+ vU_[239] = vU_[215] / vU_[214];
+ vU_[10] = vU_[29] * vU_[42] + vU_[10] * vU_[0];
+ vU_[87] = vU_[65] * vU_[102] + vU_[87] * vU_[24];
+ vU_[127] = vU_[146] * vU_[159] + vU_[127] * vU_[92];
+ vU_[186] = vU_[187] * vU_[221] + vU_[186] * vU_[141];
+ vU_[229] = 0.190812 + vU_[51] + vU_[110] + vU_[168] + vU_[229];
+ vU_[39] = vU_[44] * vU_[39] + vU_[42] * vU_[60];
+ vU_[97] = vU_[24] * vU_[97] + vU_[101] * vU_[119];
+ vU_[156] = vU_[161] * vU_[156] + vU_[159] * vU_[177];
+ vU_[216] = vU_[141] * vU_[216] + vU_[220] * vU_[238];
+ vU_[238] = (-0.00571 + vU_[39] + vU_[97] + vU_[156] + vU_[216]) / vU_[210];
+ vU_[177] = 0.012668 + vU_[10] + vU_[87] + vU_[127] + vU_[186] - vU_[229] * vU_[238];
+ vU_[119] = 0.3735 * vU_[151];
+ vU_[216] = -0.00571 + vU_[39] + vU_[97] + vU_[156] + vU_[216];
+ vU_[156] = 0.207 * vU_[220];
+ vU_[97] = (vU_[156] * vU_[11] + vU_[218] * vU_[239] + -1 * vU_[214] / vU_[214]) / vU_[210];
+ vU_[208] = 5.5837 + vU_[202] + vU_[30] + vU_[5] + vU_[89] + vU_[74] + vU_[147] + vU_[122] + vU_[208] - vU_[216] * vU_[238];
+ vU_[147] = (vU_[141] * vU_[150] + vU_[221] * vU_[82] + vU_[222] * vU_[11] + vU_[119] * vU_[239] - vU_[216] * vU_[97]) / vU_[208];
+ vU_[186] = (0.012668 + vU_[10] + vU_[87] + vU_[127] + vU_[186] - vU_[216] * vU_[128]) / vU_[208];
+ vU_[183] = 6.056973 + vU_[202] + vU_[6] + vU_[5] + vU_[72] + vU_[74] + vU_[123] + vU_[122] + vU_[183] - vU_[177] * vU_[186] - vU_[229] * vU_[128];
+ vU_[82] = (vU_[220] * vU_[150] + vU_[141] * vU_[82] + 0.207 * vU_[91] + vU_[223] * vU_[11] + vU_[33] * vU_[239] - vU_[177] * vU_[147] - vU_[229] * vU_[97]) / vU_[183];
+ vU_[25] = vU_[53] - vU_[25];
+ vU_[54] = vU_[40] + vU_[54] - vU_[25];
+ vU_[36] = vU_[36] + vU_[22];
+ vU_[22] = vU_[44] * vU_[54] + vU_[42] * vU_[36];
+ vU_[59] = vU_[59] + vU_[55];
+ vU_[50] = vU_[48] + vU_[50] - vU_[25];
+ vU_[48] = vU_[44] * vU_[59] + vU_[42] * vU_[50];
+ vU_[55] = vU_[22] * vU_[42] + vU_[48] * vU_[0];
+ vU_[81] = vU_[112] - vU_[81];
+ vU_[113] = vU_[98] + vU_[113] - vU_[81];
+ vU_[94] = vU_[94] + vU_[75];
+ vU_[75] = vU_[24] * vU_[113] + vU_[101] * vU_[94];
+ vU_[118] = vU_[118] + vU_[114];
+ vU_[109] = vU_[107] + vU_[109] - vU_[81];
+ vU_[107] = vU_[24] * vU_[118] + vU_[101] * vU_[109];
+ vU_[114] = vU_[75] * vU_[102] + vU_[107] * vU_[24];
+ vU_[142] = vU_[170] - vU_[142];
+ vU_[171] = vU_[157] + vU_[171] - vU_[142];
+ vU_[153] = vU_[153] + vU_[139];
+ vU_[139] = vU_[161] * vU_[171] + vU_[159] * vU_[153];
+ vU_[176] = vU_[176] + vU_[172];
+ vU_[167] = vU_[165] + vU_[167] - vU_[142];
+ vU_[165] = vU_[161] * vU_[176] + vU_[159] * vU_[167];
+ vU_[172] = vU_[139] * vU_[159] + vU_[165] * vU_[92];
+ vU_[189] = vU_[231] - vU_[189];
+ vU_[232] = vU_[217] + vU_[232] - vU_[189];
+ vU_[213] = vU_[213] + vU_[199];
+ vU_[199] = vU_[141] * vU_[232] + vU_[220] * vU_[213];
+ vU_[237] = vU_[237] + vU_[233];
+ vU_[228] = vU_[226] + vU_[228] - vU_[189];
+ vU_[226] = vU_[141] * vU_[237] + vU_[220] * vU_[228];
+ vU_[233] = vU_[199] * vU_[221] + vU_[226] * vU_[141];
+ vU_[109] = vU_[102] * vU_[118] + vU_[24] * vU_[109];
+ vU_[94] = vU_[102] * vU_[113] + vU_[24] * vU_[94];
+ vU_[113] = vU_[109] * vU_[24] + vU_[94] * vU_[102] + vU_[81];
+ vU_[50] = vU_[42] * vU_[59] + vU_[0] * vU_[50];
+ vU_[36] = vU_[42] * vU_[54] + vU_[0] * vU_[36];
+ vU_[54] = vU_[50] * vU_[0] + vU_[36] * vU_[42] + vU_[25];
+ vU_[167] = vU_[159] * vU_[176] + vU_[92] * vU_[167];
+ vU_[153] = vU_[159] * vU_[171] + vU_[92] * vU_[153];
+ vU_[171] = vU_[167] * vU_[92] + vU_[153] * vU_[159] + vU_[142];
+ vU_[228] = vU_[221] * vU_[237] + vU_[141] * vU_[228];
+ vU_[213] = vU_[221] * vU_[232] + vU_[141] * vU_[213];
+ vU_[232] = vU_[228] * vU_[141] + vU_[213] * vU_[221] + vU_[189];
+ vU_[16] = vU_[16] + vU_[32];
+ vU_[201] = vU_[201] + vU_[16];
+ vU_[28] = vU_[28] + vU_[15];
+ vU_[211] = vU_[211] + vU_[28];
+ vU_[16] = 0 - vU_[16];
+ vU_[15] = vU_[44] * vU_[16] + vU_[42] * vU_[28];
+ vU_[32] = vU_[201] * vU_[0] + vU_[211] * vU_[42] - vU_[15];
+ vU_[68] = vU_[68] + vU_[90];
+ vU_[20] = -1 * (vU_[20] + vU_[68]);
+ vU_[84] = vU_[84] + vU_[67];
+ vU_[3] = -1 * (vU_[3] + vU_[84]);
+ vU_[68] = 0 - vU_[68];
+ vU_[67] = vU_[24] * vU_[68] + vU_[101] * vU_[84];
+ vU_[90] = vU_[20] * vU_[24] + vU_[3] * vU_[102] - vU_[67];
+ vU_[133] = vU_[133] + vU_[149];
+ vU_[86] = vU_[86] + vU_[133];
+ vU_[145] = vU_[145] + vU_[132];
+ vU_[85] = vU_[85] + vU_[145];
+ vU_[133] = 0 - vU_[133];
+ vU_[132] = vU_[161] * vU_[133] + vU_[159] * vU_[145];
+ vU_[149] = vU_[86] * vU_[92] + vU_[85] * vU_[159] - vU_[132];
+ vU_[193] = vU_[193] + vU_[209];
+ vU_[137] = -1 * (vU_[137] + vU_[193]);
+ vU_[205] = vU_[205] + vU_[192];
+ vU_[120] = -1 * (vU_[120] + vU_[205]);
+ vU_[193] = 0 - vU_[193];
+ vU_[192] = vU_[141] * vU_[193] + vU_[220] * vU_[205];
+ vU_[209] = vU_[137] * vU_[141] + vU_[120] * vU_[221] - vU_[192];
+ vU_[237] = (-2.0678571 + vU_[32] + vU_[90] + vU_[149] + vU_[209]) / vU_[210];
+ vU_[176] = (vU_[113] + vU_[54] + vU_[171] + vU_[232] - vU_[216] * vU_[237]) / vU_[208];
+ vU_[59] = (-1.1915559 + vU_[55] + vU_[114] + vU_[172] + vU_[233] - vU_[177] * vU_[176] - vU_[229] * vU_[237]) / vU_[183];
+ vU_[118] = 0 - vU_[151];
+ vU_[217] = 0 - vU_[220];
+ vU_[209] = -2.0678571 + vU_[32] + vU_[90] + vU_[149] + vU_[209];
+ vU_[232] = vU_[113] + vU_[54] + vU_[171] + vU_[232] - vU_[209] * vU_[238];
+ vU_[233] = -1.1915559 + vU_[55] + vU_[114] + vU_[172] + vU_[233] - vU_[232] * vU_[186] - vU_[209] * vU_[128];
+ vU_[117] = 0 - vU_[117];
+ vU_[172] = vU_[24] * vU_[117] + vU_[101] * vU_[111];
+ vU_[58] = 0 - vU_[58];
+ vU_[114] = vU_[44] * vU_[58] + vU_[42] * vU_[52];
+ vU_[175] = 0 - vU_[175];
+ vU_[55] = vU_[161] * vU_[175] + vU_[159] * vU_[169];
+ vU_[236] = 0 - vU_[236];
+ vU_[171] = vU_[141] * vU_[236] + vU_[220] * vU_[230];
+ vU_[54] = (vU_[81] + vU_[25] + vU_[142] + vU_[189]) / vU_[210];
+ vU_[113] = (2.0678571 + vU_[15] + vU_[67] + vU_[132] + vU_[192] - vU_[216] * vU_[54]) / vU_[208];
+ vU_[16] = vU_[42] * vU_[16] + vU_[0] * vU_[28];
+ vU_[28] = 0 - vU_[16];
+ vU_[68] = vU_[102] * vU_[68] + vU_[24] * vU_[84];
+ vU_[84] = 0 - vU_[68];
+ vU_[133] = vU_[159] * vU_[133] + vU_[92] * vU_[145];
+ vU_[145] = 0 - vU_[133];
+ vU_[193] = vU_[221] * vU_[193] + vU_[141] * vU_[205];
+ vU_[205] = 0 - vU_[193];
+ vU_[149] = (0.0053433 + vU_[28] + vU_[84] + vU_[145] + vU_[205] - vU_[177] * vU_[113] - vU_[229] * vU_[54]) / vU_[183];
+ vU_[90] = vU_[172] + vU_[114] + vU_[55] + vU_[171] - vU_[232] * vU_[113] - vU_[209] * vU_[54] - vU_[233] * vU_[149];
+ vU_[32] = vU_[81] + vU_[25] + vU_[142] + vU_[189];
+ vU_[192] = 2.0678571 + vU_[15] + vU_[67] + vU_[132] + vU_[192] - vU_[32] * vU_[238];
+ vU_[205] = 0.0053433 + vU_[28] + vU_[84] + vU_[145] + vU_[205] - vU_[192] * vU_[186] - vU_[32] * vU_[128];
+ vU_[57] = vU_[57] - vU_[35];
+ vU_[17] = vU_[17] - vU_[35];
+ vU_[116] = vU_[116] - vU_[93];
+ vU_[69] = vU_[69] - vU_[93];
+ vU_[174] = vU_[174] - vU_[152];
+ vU_[134] = vU_[134] - vU_[152];
+ vU_[235] = vU_[235] - vU_[212];
+ vU_[194] = vU_[194] - vU_[212];
+ vU_[145] = vU_[42] * vU_[49];
+ vU_[84] = (vU_[42] * vU_[17] + vU_[0] * vU_[49]) * vU_[42] + (vU_[145] + vU_[0] * vU_[57]) * vU_[0];
+ vU_[145] = vU_[44] * vU_[17] + vU_[145];
+ vU_[49] = vU_[44] * vU_[49] + vU_[42] * vU_[57];
+ vU_[28] = vU_[145] * vU_[44] + vU_[49] * vU_[42];
+ vU_[132] = vU_[24] * vU_[108];
+ vU_[67] = (vU_[102] * vU_[69] + vU_[132]) * vU_[102] + (vU_[102] * vU_[108] + vU_[24] * vU_[116]) * vU_[24];
+ vU_[108] = vU_[24] * vU_[69] + vU_[101] * vU_[108];
+ vU_[132] = vU_[132] + vU_[101] * vU_[116];
+ vU_[15] = vU_[108] * vU_[24] + vU_[132] * vU_[101];
+ vU_[231] = vU_[159] * vU_[166];
+ vU_[157] = (vU_[159] * vU_[134] + vU_[92] * vU_[166]) * vU_[159] + (vU_[231] + vU_[92] * vU_[174]) * vU_[92];
+ vU_[231] = vU_[161] * vU_[134] + vU_[231];
+ vU_[166] = vU_[161] * vU_[166] + vU_[159] * vU_[174];
+ vU_[170] = vU_[231] * vU_[161] + vU_[166] * vU_[159];
+ vU_[98] = vU_[141] * vU_[227];
+ vU_[112] = (vU_[221] * vU_[194] + vU_[98]) * vU_[221] + (vU_[221] * vU_[227] + vU_[141] * vU_[235]) * vU_[141];
+ vU_[227] = vU_[141] * vU_[194] + vU_[220] * vU_[227];
+ vU_[98] = vU_[98] + vU_[220] * vU_[235];
+ vU_[40] = vU_[227] * vU_[141] + vU_[98] * vU_[220];
+ vU_[194] = 53.433 + vU_[57] + vU_[17] + vU_[35] + vU_[116] + vU_[69] + vU_[93] + vU_[174] + vU_[134] + vU_[152] + vU_[235] + vU_[194] + vU_[212] - vU_[84] - vU_[28] - vU_[67] - vU_[15] - vU_[157] - vU_[170] - vU_[112] - vU_[40] - vU_[192] * vU_[113] - vU_[32] * vU_[54] - vU_[205] * vU_[149];
+ vU_[91] = (-1 * vU_[91] - vU_[192] * vU_[147] - vU_[32] * vU_[97] - vU_[205] * vU_[82]) / vU_[194];
+ vU_[171] = (vU_[172] + vU_[114] + vU_[55] + vU_[171] - vU_[192] * vU_[176] - vU_[32] * vU_[237] - vU_[205] * vU_[59]) / vU_[194];
+ vU_[112] = 53.433 + vU_[35] + vU_[84] + vU_[93] + vU_[67] + vU_[152] + vU_[157] + vU_[212] + vU_[112] - vU_[232] * vU_[176] - vU_[209] * vU_[237] - vU_[233] * vU_[59] - vU_[90] * vU_[171];
+ vU_[157] = (vU_[118] * vU_[11] + vU_[217] * vU_[239] - vU_[232] * vU_[147] - vU_[209] * vU_[97] - vU_[233] * vU_[82] - vU_[90] * vU_[91]) / vU_[112];
+ vU_[132] = vU_[108] * vU_[102] + vU_[132] * vU_[24];
+ vU_[49] = vU_[145] * vU_[42] + vU_[49] * vU_[0];
+ vU_[166] = vU_[231] * vU_[159] + vU_[166] * vU_[92];
+ vU_[98] = vU_[227] * vU_[221] + vU_[98] * vU_[141];
+ vU_[36] = vU_[36] * vU_[44] + vU_[50] * vU_[42];
+ vU_[94] = vU_[94] * vU_[24] + vU_[109] * vU_[101];
+ vU_[153] = vU_[153] * vU_[161] + vU_[167] * vU_[159];
+ vU_[213] = vU_[213] * vU_[141] + vU_[228] * vU_[220];
+ vU_[16] = vU_[201] * vU_[42] + vU_[211] * vU_[44] + vU_[16];
+ vU_[68] = vU_[20] * vU_[101] + vU_[3] * vU_[24] + vU_[68];
+ vU_[133] = vU_[86] * vU_[159] + vU_[85] * vU_[161] + vU_[133];
+ vU_[193] = vU_[137] * vU_[220] + vU_[120] * vU_[141] + vU_[193];
+ vU_[120] = (-0.0053433 + vU_[16] + vU_[68] + vU_[133] + vU_[193]) / vU_[210];
+ vU_[137] = (1.1915559 + vU_[36] + vU_[94] + vU_[153] + vU_[213] - vU_[216] * vU_[120]) / vU_[208];
+ vU_[107] = vU_[107] * vU_[101] + vU_[75] * vU_[24] + vU_[81];
+ vU_[48] = vU_[48] * vU_[42] + vU_[22] * vU_[44] + vU_[25];
+ vU_[165] = vU_[165] * vU_[159] + vU_[139] * vU_[161] + vU_[142];
+ vU_[226] = vU_[226] * vU_[220] + vU_[199] * vU_[141] + vU_[189];
+ vU_[199] = (vU_[107] + vU_[48] + vU_[165] + vU_[226] - vU_[177] * vU_[137] - vU_[229] * vU_[120]) / vU_[183];
+ vU_[117] = 0 - vU_[24] * vU_[111] - vU_[102] * vU_[117];
+ vU_[58] = 0 - vU_[0] * vU_[52] - vU_[42] * vU_[58];
+ vU_[175] = 0 - vU_[92] * vU_[169] - vU_[159] * vU_[175];
+ vU_[236] = 0 - vU_[141] * vU_[230] - vU_[221] * vU_[236];
+ vU_[230] = (vU_[117] + vU_[58] + vU_[175] + vU_[236] - vU_[192] * vU_[137] - vU_[32] * vU_[120] - vU_[205] * vU_[199]) / vU_[194];
+ vU_[169] = (vU_[132] + vU_[49] + vU_[166] + vU_[98] - vU_[232] * vU_[137] - vU_[209] * vU_[120] - vU_[233] * vU_[199] - vU_[90] * vU_[230]) / vU_[112];
+ vU_[151] = 0 - vU_[151];
+ vU_[193] = -0.0053433 + vU_[16] + vU_[68] + vU_[133] + vU_[193];
+ vU_[213] = 1.1915559 + vU_[36] + vU_[94] + vU_[153] + vU_[213] - vU_[193] * vU_[238];
+ vU_[226] = vU_[107] + vU_[48] + vU_[165] + vU_[226] - vU_[213] * vU_[186] - vU_[193] * vU_[128];
+ vU_[236] = vU_[117] + vU_[58] + vU_[175] + vU_[236] - vU_[213] * vU_[113] - vU_[193] * vU_[54] - vU_[226] * vU_[149];
+ vU_[98] = vU_[132] + vU_[49] + vU_[166] + vU_[98] - vU_[213] * vU_[176] - vU_[193] * vU_[237] - vU_[226] * vU_[59] - vU_[236] * vU_[171];
+ vU_[40] = 53.433 + vU_[35] + vU_[28] + vU_[93] + vU_[15] + vU_[152] + vU_[170] + vU_[212] + vU_[40] - vU_[213] * vU_[137] - vU_[193] * vU_[120] - vU_[226] * vU_[199] - vU_[236] * vU_[230] - vU_[98] * vU_[169];
+ vU_[239] = (vU_[220] * vU_[11] + vU_[151] * vU_[239] - vU_[213] * vU_[147] - vU_[193] * vU_[97] - vU_[226] * vU_[82] - vU_[236] * vU_[91] - vU_[98] * vU_[157]) / vU_[40];
+ jac[23] = - vU_[239];
+ vU_[157] = vU_[157] - vU_[169] * vU_[239];
+ jac[22] = - vU_[157];
+ vU_[91] = vU_[91] - vU_[230] * vU_[239] - vU_[171] * vU_[157];
+ jac[21] = - vU_[91];
+ vU_[82] = vU_[82] - vU_[59] * vU_[157] - vU_[149] * vU_[91] - vU_[199] * vU_[239];
+ jac[20] = - vU_[82];
+ vU_[147] = vU_[147] - vU_[113] * vU_[91] - vU_[186] * vU_[82] - vU_[176] * vU_[157] - vU_[137] * vU_[239];
+ jac[18] = vU_[128] * vU_[82] + vU_[238] * vU_[147] + vU_[54] * vU_[91] + vU_[237] * vU_[157] + vU_[120] * vU_[239] - vU_[97];
+ jac[19] = - vU_[147];
+ vU_[147] = -1 * jac[18];
+ vU_[82] = vU_[220] * jac[20] + vU_[141] * jac[19];
+ vU_[91] = vU_[141] * jac[20] + vU_[221] * jac[19];
+ vU_[157] = -1 * jac[21];
+ vU_[239] = 0.207 * jac[20] + vU_[157];
+ vU_[97] = vU_[33] * jac[20] + vU_[119] * jac[19] + vU_[218] * jac[18] + vU_[151] * jac[23] + vU_[217] * jac[22];
+ jac[24] = (1 - vU_[214] * vU_[147] - vU_[206] * vU_[82] - vU_[196] * vU_[91] - vU_[195] * vU_[239] - vU_[225] * (vU_[223] * jac[20] + vU_[222] * jac[19] + vU_[156] * jac[18] + vU_[220] * jac[23] + vU_[118] * jac[22]) - vU_[215] * vU_[97]) / vU_[214];
+ vU_[11] = -1 * vU_[82];
+ vU_[170] = vU_[147] + jac[24];
+ vU_[15] = 0 - vU_[203];
+ vU_[28] = -0.08 * vU_[178];
+ vU_[212] = vU_[178] * vU_[239] + vU_[15] * vU_[97] + vU_[28] * vU_[82];
+ vU_[97] = vU_[203] * vU_[239] + vU_[178] * vU_[97] + vU_[207] * vU_[82];
+ jac[25] = (0 - vU_[191] * vU_[11] - vU_[185] * (vU_[178] * vU_[170] + vU_[204] * vU_[91]) - vU_[190] * (vU_[203] * vU_[170] + vU_[178] * vU_[91]) - vU_[200] * vU_[212] - vU_[198] * vU_[97]) / vU_[191];
+ vU_[170] = 0 - vU_[181];
+ vU_[91] = 0.35 * vU_[179];
+ vU_[11] = vU_[11] + jac[25];
+ jac[26] = (0 - 0.1104774 * (vU_[179] * vU_[212] + vU_[170] * vU_[97] + vU_[91] * vU_[11]) - -0.0004405 * (vU_[181] * vU_[212] + vU_[179] * vU_[97] + vU_[184] * vU_[11]) - 0.026181 * vU_[11]) / 0.026181;
+ vU_[11] = vU_[159] * jac[20] + vU_[92] * jac[19];
+ vU_[97] = vU_[161] * jac[20] + vU_[159] * jac[19];
+ vU_[212] = 0.207 * jac[20] + jac[21];
+ vU_[239] = -0.207 * vU_[159];
+ vU_[82] = 0.3735 * vU_[159];
+ vU_[152] = 0.3735 * vU_[92];
+ vU_[93] = 0 - vU_[92];
+ vU_[35] = vU_[82] * jac[20] + vU_[152] * jac[19] + vU_[158] * jac[18] + vU_[93] * jac[23] + vU_[159] * jac[22];
+ jac[27] = (0 - vU_[154] * jac[18] - vU_[129] * vU_[11] - vU_[136] * vU_[97] - vU_[135] * vU_[212] - vU_[164] * (vU_[162] * jac[20] + vU_[160] * jac[19] + vU_[239] * jac[18] + vU_[159] * jac[23] + vU_[92] * jac[22]) - vU_[155] * vU_[35]) / vU_[154];
+ vU_[166] = jac[18] + jac[27];
+ vU_[49] = 0 - vU_[77];
+ vU_[132] = 0 - vU_[143];
+ vU_[175] = 0.08 * vU_[77];
+ vU_[58] = vU_[49] * vU_[212] + vU_[132] * vU_[35] + vU_[175] * vU_[11];
+ vU_[143] = 0 - vU_[143];
+ vU_[35] = vU_[143] * vU_[212] + vU_[77] * vU_[35] + vU_[148] * vU_[11];
+ jac[28] = (0 - vU_[131] * vU_[11] - vU_[125] * (vU_[126] * vU_[166] + vU_[144] * vU_[97]) - vU_[130] * (vU_[144] * vU_[166] + vU_[77] * vU_[97]) - vU_[140] * vU_[58] - vU_[138] * vU_[35]) / vU_[131];
+ vU_[166] = 0 - vU_[121];
+ vU_[97] = 0.35 * vU_[78];
+ vU_[11] = vU_[11] + jac[28];
+ jac[29] = (0 - 0.1104774 * (vU_[78] * vU_[58] + vU_[166] * vU_[35] + vU_[97] * vU_[11]) - -0.0004405 * (vU_[121] * vU_[58] + vU_[78] * vU_[35] + vU_[124] * vU_[11]) - 0.026181 * vU_[11]) / 0.026181;
+ vU_[11] = vU_[101] * jac[20] + vU_[24] * jac[19];
+ vU_[35] = vU_[24] * jac[20] + vU_[102] * jac[19];
+ vU_[157] = 0.207 * jac[20] + vU_[157];
+ vU_[58] = 0.207 * vU_[101];
+ vU_[212] = 0 - vU_[34];
+ vU_[117] = 0.3735 * vU_[101];
+ vU_[165] = -0.3735 * vU_[34];
+ vU_[34] = 0 - vU_[34];
+ vU_[48] = 0 - vU_[101];
+ vU_[107] = vU_[117] * jac[20] + vU_[165] * jac[19] + vU_[99] * jac[18] + vU_[34] * jac[23] + vU_[48] * jac[22];
+ jac[30] = (0 - vU_[95] * vU_[147] - vU_[83] * vU_[11] - vU_[71] * vU_[35] - vU_[70] * vU_[157] - vU_[106] * (vU_[104] * jac[20] + vU_[103] * jac[19] + vU_[58] * jac[18] + vU_[101] * jac[23] + vU_[212] * jac[22]) - vU_[96] * vU_[107]) / vU_[95];
+ vU_[153] = -1 * vU_[11];
+ vU_[147] = vU_[147] + jac[30];
+ vU_[94] = 0 - vU_[79];
+ vU_[36] = -0.08 * vU_[61];
+ vU_[133] = vU_[61] * vU_[157] + vU_[94] * vU_[107] + vU_[36] * vU_[11];
+ vU_[107] = vU_[79] * vU_[157] + vU_[61] * vU_[107] + vU_[88] * vU_[11];
+ jac[31] = (0 - vU_[66] * vU_[153] - 2.1e-05 * (vU_[61] * vU_[147] + vU_[80] * vU_[35]) - -0.000102 * (vU_[79] * vU_[147] + vU_[61] * vU_[35]) - vU_[76] * vU_[133] - vU_[73] * vU_[107]) / vU_[66];
+ vU_[147] = 0 - vU_[62];
+ vU_[35] = 0.35 * vU_[64];
+ vU_[153] = vU_[153] + jac[31];
+ jac[32] = (0 - 0.110125 * (vU_[64] * vU_[133] + vU_[147] * vU_[107] + vU_[35] * vU_[153]) - 0.000881 * (vU_[62] * vU_[133] + vU_[64] * vU_[107] + vU_[63] * vU_[153]) - 0.026181 * vU_[153]) / 0.026181;
+ vU_[153] = vU_[42] * jac[20] + vU_[0] * jac[19];
+ vU_[107] = vU_[44] * jac[20] + vU_[42] * jac[19];
+ vU_[133] = 0.207 * jac[20] + jac[21];
+ vU_[157] = -0.207 * vU_[42];
+ vU_[11] = -0.3735 * vU_[42];
+ vU_[68] = -0.3735 * vU_[0];
+ vU_[16] = 0 - vU_[0];
+ vU_[52] = vU_[11] * jac[20] + vU_[68] * jac[19] + vU_[41] * jac[18] + vU_[16] * jac[23] + vU_[42] * jac[22];
+ jac[33] = (0 - vU_[37] * jac[18] - vU_[12] * vU_[153] - vU_[19] * vU_[107] - vU_[18] * vU_[133] - vU_[47] * (vU_[45] * jac[20] + vU_[43] * jac[19] + vU_[157] * jac[18] + vU_[42] * jac[23] + vU_[0] * jac[22]) - vU_[38] * vU_[52]) / vU_[37];
+ vU_[111] = jac[18] + jac[33];
+ vU_[189] = 0 - vU_[1];
+ vU_[139] = 0 - vU_[26];
+ vU_[142] = 0.08 * vU_[1];
+ vU_[22] = vU_[189] * vU_[133] + vU_[139] * vU_[52] + vU_[142] * vU_[153];
+ vU_[26] = 0 - vU_[26];
+ vU_[52] = vU_[26] * vU_[133] + vU_[1] * vU_[52] + vU_[31] * vU_[153];
+ jac[34] = (0 - vU_[14] * vU_[153] - vU_[8] * (vU_[9] * vU_[111] + vU_[27] * vU_[107]) - vU_[13] * (vU_[27] * vU_[111] + vU_[1] * vU_[107]) - vU_[23] * vU_[22] - vU_[21] * vU_[52]) / vU_[14];
+ vU_[111] = 0 - vU_[4];
+ vU_[107] = 0.35 * vU_[2];
+ vU_[153] = vU_[153] + jac[34];
+ jac[35] = (0 - 0.1104774 * (vU_[2] * vU_[22] + vU_[111] * vU_[52] + vU_[107] * vU_[153]) - 0.0004405 * (vU_[4] * vU_[22] + vU_[2] * vU_[52] + vU_[7] * vU_[153]) - 0.026181 * vU_[153]) / 0.026181;
+ vU_[153] = vU_[200] / vU_[191];
+ vU_[52] = vU_[198] / vU_[191];
+ vU_[22] = vU_[185] / vU_[191];
+ vU_[133] = vU_[190] / vU_[191];
+ vU_[25] = vU_[178] * vU_[22] + vU_[203] * vU_[133];
+ vU_[75] = 0 - vU_[25];
+ vU_[81] = vU_[28] * vU_[153] + vU_[207] * vU_[52] + -1 * vU_[191] / vU_[191] + (vU_[206] * vU_[75]) / vU_[214];
+ vU_[133] = vU_[204] * vU_[22] + vU_[178] * vU_[133] + (vU_[196] * vU_[75]) / vU_[214];
+ vU_[22] = vU_[178] * vU_[153] + vU_[203] * vU_[52] + (vU_[195] * vU_[75]) / vU_[214];
+ vU_[85] = (vU_[225] * vU_[75]) / vU_[214];
+ vU_[52] = vU_[15] * vU_[153] + vU_[178] * vU_[52] + (vU_[215] * vU_[75]) / vU_[214];
+ vU_[25] = (vU_[156] * vU_[85] + vU_[218] * vU_[52] + -1 * (vU_[25] + (vU_[214] * vU_[75]) / vU_[214])) / vU_[210];
+ vU_[153] = (vU_[141] * vU_[81] + vU_[221] * vU_[133] + vU_[222] * vU_[85] + vU_[119] * vU_[52] - vU_[216] * vU_[25]) / vU_[208];
+ vU_[133] = (vU_[220] * vU_[81] + vU_[141] * vU_[133] + 0.207 * vU_[22] + vU_[223] * vU_[85] + vU_[33] * vU_[52] - vU_[177] * vU_[153] - vU_[229] * vU_[25]) / vU_[183];
+ vU_[22] = (-1 * vU_[22] - vU_[192] * vU_[153] - vU_[32] * vU_[25] - vU_[205] * vU_[133]) / vU_[194];
+ vU_[81] = (vU_[118] * vU_[85] + vU_[217] * vU_[52] - vU_[232] * vU_[153] - vU_[209] * vU_[25] - vU_[233] * vU_[133] - vU_[90] * vU_[22]) / vU_[112];
+ vU_[52] = (vU_[220] * vU_[85] + vU_[151] * vU_[52] - vU_[213] * vU_[153] - vU_[193] * vU_[25] - vU_[226] * vU_[133] - vU_[236] * vU_[22] - vU_[98] * vU_[81]) / vU_[40];
+ jac[59] = - vU_[52];
+ vU_[81] = vU_[81] - vU_[169] * vU_[52];
+ jac[58] = - vU_[81];
+ vU_[22] = vU_[22] - vU_[230] * vU_[52] - vU_[171] * vU_[81];
+ jac[57] = - vU_[22];
+ vU_[133] = vU_[133] - vU_[59] * vU_[81] - vU_[149] * vU_[22] - vU_[199] * vU_[52];
+ jac[56] = - vU_[133];
+ vU_[153] = vU_[153] - vU_[113] * vU_[22] - vU_[186] * vU_[133] - vU_[176] * vU_[81] - vU_[137] * vU_[52];
+ jac[54] = vU_[128] * vU_[133] + vU_[238] * vU_[153] + vU_[54] * vU_[22] + vU_[237] * vU_[81] + vU_[120] * vU_[52] - vU_[25];
+ jac[55] = - vU_[153];
+ vU_[153] = -1 * jac[54];
+ vU_[133] = vU_[220] * jac[56] + vU_[141] * jac[55];
+ vU_[22] = vU_[141] * jac[56] + vU_[221] * jac[55];
+ vU_[81] = -1 * jac[57];
+ vU_[52] = 0.207 * jac[56] + vU_[81];
+ vU_[25] = vU_[33] * jac[56] + vU_[119] * jac[55] + vU_[218] * jac[54] + vU_[151] * jac[59] + vU_[217] * jac[58];
+ jac[60] = (vU_[75] - vU_[214] * vU_[153] - vU_[206] * vU_[133] - vU_[196] * vU_[22] - vU_[195] * vU_[52] - vU_[225] * (vU_[223] * jac[56] + vU_[222] * jac[55] + vU_[156] * jac[54] + vU_[220] * jac[59] + vU_[118] * jac[58]) - vU_[215] * vU_[25]) / vU_[214];
+ vU_[75] = -1 * vU_[133];
+ vU_[85] = vU_[153] + jac[60];
+ vU_[86] = vU_[178] * vU_[52] + vU_[15] * vU_[25] + vU_[28] * vU_[133];
+ vU_[25] = vU_[203] * vU_[52] + vU_[178] * vU_[25] + vU_[207] * vU_[133];
+ jac[61] = (1 - vU_[191] * vU_[75] - vU_[185] * (vU_[178] * vU_[85] + vU_[204] * vU_[22]) - vU_[190] * (vU_[203] * vU_[85] + vU_[178] * vU_[22]) - vU_[200] * vU_[86] - vU_[198] * vU_[25]) / vU_[191];
+ vU_[75] = vU_[75] + jac[61];
+ jac[62] = (0 - 0.1104774 * (vU_[179] * vU_[86] + vU_[170] * vU_[25] + vU_[91] * vU_[75]) - -0.0004405 * (vU_[181] * vU_[86] + vU_[179] * vU_[25] + vU_[184] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[159] * jac[56] + vU_[92] * jac[55];
+ vU_[25] = vU_[161] * jac[56] + vU_[159] * jac[55];
+ vU_[86] = 0.207 * jac[56] + jac[57];
+ vU_[85] = vU_[82] * jac[56] + vU_[152] * jac[55] + vU_[158] * jac[54] + vU_[93] * jac[59] + vU_[159] * jac[58];
+ jac[63] = (0 - vU_[154] * jac[54] - vU_[129] * vU_[75] - vU_[136] * vU_[25] - vU_[135] * vU_[86] - vU_[164] * (vU_[162] * jac[56] + vU_[160] * jac[55] + vU_[239] * jac[54] + vU_[159] * jac[59] + vU_[92] * jac[58]) - vU_[155] * vU_[85]) / vU_[154];
+ vU_[22] = jac[54] + jac[63];
+ vU_[52] = vU_[49] * vU_[86] + vU_[132] * vU_[85] + vU_[175] * vU_[75];
+ vU_[85] = vU_[143] * vU_[86] + vU_[77] * vU_[85] + vU_[148] * vU_[75];
+ jac[64] = (0 - vU_[131] * vU_[75] - vU_[125] * (vU_[126] * vU_[22] + vU_[144] * vU_[25]) - vU_[130] * (vU_[144] * vU_[22] + vU_[77] * vU_[25]) - vU_[140] * vU_[52] - vU_[138] * vU_[85]) / vU_[131];
+ vU_[75] = vU_[75] + jac[64];
+ jac[65] = (0 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[85] + vU_[97] * vU_[75]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[85] + vU_[124] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[101] * jac[56] + vU_[24] * jac[55];
+ vU_[85] = vU_[24] * jac[56] + vU_[102] * jac[55];
+ vU_[81] = 0.207 * jac[56] + vU_[81];
+ vU_[52] = vU_[117] * jac[56] + vU_[165] * jac[55] + vU_[99] * jac[54] + vU_[34] * jac[59] + vU_[48] * jac[58];
+ jac[66] = (0 - vU_[95] * vU_[153] - vU_[83] * vU_[75] - vU_[71] * vU_[85] - vU_[70] * vU_[81] - vU_[106] * (vU_[104] * jac[56] + vU_[103] * jac[55] + vU_[58] * jac[54] + vU_[101] * jac[59] + vU_[212] * jac[58]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[22] = -1 * vU_[75];
+ vU_[153] = vU_[153] + jac[66];
+ vU_[25] = vU_[61] * vU_[81] + vU_[94] * vU_[52] + vU_[36] * vU_[75];
+ vU_[52] = vU_[79] * vU_[81] + vU_[61] * vU_[52] + vU_[88] * vU_[75];
+ jac[67] = (0 - vU_[66] * vU_[22] - 2.1e-05 * (vU_[61] * vU_[153] + vU_[80] * vU_[85]) - -0.000102 * (vU_[79] * vU_[153] + vU_[61] * vU_[85]) - vU_[76] * vU_[25] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[22] = vU_[22] + jac[67];
+ jac[68] = (0 - 0.110125 * (vU_[64] * vU_[25] + vU_[147] * vU_[52] + vU_[35] * vU_[22]) - 0.000881 * (vU_[62] * vU_[25] + vU_[64] * vU_[52] + vU_[63] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[42] * jac[56] + vU_[0] * jac[55];
+ vU_[52] = vU_[44] * jac[56] + vU_[42] * jac[55];
+ vU_[25] = 0.207 * jac[56] + jac[57];
+ vU_[153] = vU_[11] * jac[56] + vU_[68] * jac[55] + vU_[41] * jac[54] + vU_[16] * jac[59] + vU_[42] * jac[58];
+ jac[69] = (0 - vU_[37] * jac[54] - vU_[12] * vU_[22] - vU_[19] * vU_[52] - vU_[18] * vU_[25] - vU_[47] * (vU_[45] * jac[56] + vU_[43] * jac[55] + vU_[157] * jac[54] + vU_[42] * jac[59] + vU_[0] * jac[58]) - vU_[38] * vU_[153]) / vU_[37];
+ vU_[85] = jac[54] + jac[69];
+ vU_[81] = vU_[189] * vU_[25] + vU_[139] * vU_[153] + vU_[142] * vU_[22];
+ vU_[153] = vU_[26] * vU_[25] + vU_[1] * vU_[153] + vU_[31] * vU_[22];
+ jac[70] = (0 - vU_[14] * vU_[22] - vU_[8] * (vU_[9] * vU_[85] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[85] + vU_[1] * vU_[52]) - vU_[23] * vU_[81] - vU_[21] * vU_[153]) / vU_[14];
+ vU_[22] = vU_[22] + jac[70];
+ jac[71] = (0 - 0.1104774 * (vU_[2] * vU_[81] + vU_[111] * vU_[153] + vU_[107] * vU_[22]) - 0.0004405 * (vU_[4] * vU_[81] + vU_[2] * vU_[153] + vU_[7] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = 1 + vU_[91] * 4.21975478400367 + vU_[184] * -0.0168251785646079;
+ vU_[153] = 0 - vU_[22];
+ vU_[81] = vU_[179] * 4.21975478400367 + vU_[181] * -0.0168251785646079 + (vU_[200] * vU_[153]) / vU_[191];
+ vU_[85] = vU_[170] * 4.21975478400367 + vU_[179] * -0.0168251785646079 + (vU_[198] * vU_[153]) / vU_[191];
+ vU_[52] = (vU_[185] * vU_[153]) / vU_[191];
+ vU_[25] = (vU_[190] * vU_[153]) / vU_[191];
+ vU_[75] = vU_[178] * vU_[52] + vU_[203] * vU_[25];
+ vU_[86] = 0 - vU_[75];
+ vU_[22] = vU_[28] * vU_[81] + vU_[207] * vU_[85] + -1 * (vU_[22] + (vU_[191] * vU_[153]) / vU_[191]) + (vU_[206] * vU_[86]) / vU_[214];
+ vU_[25] = vU_[204] * vU_[52] + vU_[178] * vU_[25] + (vU_[196] * vU_[86]) / vU_[214];
+ vU_[52] = vU_[178] * vU_[81] + vU_[203] * vU_[85] + (vU_[195] * vU_[86]) / vU_[214];
+ vU_[133] = (vU_[225] * vU_[86]) / vU_[214];
+ vU_[85] = vU_[15] * vU_[81] + vU_[178] * vU_[85] + (vU_[215] * vU_[86]) / vU_[214];
+ vU_[75] = (vU_[156] * vU_[133] + vU_[218] * vU_[85] + -1 * (vU_[75] + (vU_[214] * vU_[86]) / vU_[214])) / vU_[210];
+ vU_[81] = (vU_[141] * vU_[22] + vU_[221] * vU_[25] + vU_[222] * vU_[133] + vU_[119] * vU_[85] - vU_[216] * vU_[75]) / vU_[208];
+ vU_[25] = (vU_[220] * vU_[22] + vU_[141] * vU_[25] + 0.207 * vU_[52] + vU_[223] * vU_[133] + vU_[33] * vU_[85] - vU_[177] * vU_[81] - vU_[229] * vU_[75]) / vU_[183];
+ vU_[52] = (-1 * vU_[52] - vU_[192] * vU_[81] - vU_[32] * vU_[75] - vU_[205] * vU_[25]) / vU_[194];
+ vU_[22] = (vU_[118] * vU_[133] + vU_[217] * vU_[85] - vU_[232] * vU_[81] - vU_[209] * vU_[75] - vU_[233] * vU_[25] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[85] = (vU_[220] * vU_[133] + vU_[151] * vU_[85] - vU_[213] * vU_[81] - vU_[193] * vU_[75] - vU_[226] * vU_[25] - vU_[236] * vU_[52] - vU_[98] * vU_[22]) / vU_[40];
+ jac[95] = - vU_[85];
+ vU_[22] = vU_[22] - vU_[169] * vU_[85];
+ jac[94] = - vU_[22];
+ vU_[52] = vU_[52] - vU_[230] * vU_[85] - vU_[171] * vU_[22];
+ jac[93] = - vU_[52];
+ vU_[25] = vU_[25] - vU_[59] * vU_[22] - vU_[149] * vU_[52] - vU_[199] * vU_[85];
+ jac[92] = - vU_[25];
+ vU_[81] = vU_[81] - vU_[113] * vU_[52] - vU_[186] * vU_[25] - vU_[176] * vU_[22] - vU_[137] * vU_[85];
+ jac[90] = vU_[128] * vU_[25] + vU_[238] * vU_[81] + vU_[54] * vU_[52] + vU_[237] * vU_[22] + vU_[120] * vU_[85] - vU_[75];
+ jac[91] = - vU_[81];
+ vU_[81] = -1 * jac[90];
+ vU_[25] = vU_[220] * jac[92] + vU_[141] * jac[91];
+ vU_[52] = vU_[141] * jac[92] + vU_[221] * jac[91];
+ vU_[22] = -1 * jac[93];
+ vU_[85] = 0.207 * jac[92] + vU_[22];
+ vU_[75] = vU_[33] * jac[92] + vU_[119] * jac[91] + vU_[218] * jac[90] + vU_[151] * jac[95] + vU_[217] * jac[94];
+ jac[96] = (vU_[86] - vU_[214] * vU_[81] - vU_[206] * vU_[25] - vU_[196] * vU_[52] - vU_[195] * vU_[85] - vU_[225] * (vU_[223] * jac[92] + vU_[222] * jac[91] + vU_[156] * jac[90] + vU_[220] * jac[95] + vU_[118] * jac[94]) - vU_[215] * vU_[75]) / vU_[214];
+ vU_[86] = -1 * vU_[25];
+ vU_[133] = vU_[81] + jac[96];
+ vU_[3] = vU_[178] * vU_[85] + vU_[15] * vU_[75] + vU_[28] * vU_[25];
+ vU_[75] = vU_[203] * vU_[85] + vU_[178] * vU_[75] + vU_[207] * vU_[25];
+ jac[97] = (vU_[153] - vU_[191] * vU_[86] - vU_[185] * (vU_[178] * vU_[133] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[133] + vU_[178] * vU_[52]) - vU_[200] * vU_[3] - vU_[198] * vU_[75]) / vU_[191];
+ vU_[86] = vU_[86] + jac[97];
+ jac[98] = (1 - 0.1104774 * (vU_[179] * vU_[3] + vU_[170] * vU_[75] + vU_[91] * vU_[86]) - -0.0004405 * (vU_[181] * vU_[3] + vU_[179] * vU_[75] + vU_[184] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[159] * jac[92] + vU_[92] * jac[91];
+ vU_[75] = vU_[161] * jac[92] + vU_[159] * jac[91];
+ vU_[3] = 0.207 * jac[92] + jac[93];
+ vU_[133] = vU_[82] * jac[92] + vU_[152] * jac[91] + vU_[158] * jac[90] + vU_[93] * jac[95] + vU_[159] * jac[94];
+ jac[99] = (0 - vU_[154] * jac[90] - vU_[129] * vU_[86] - vU_[136] * vU_[75] - vU_[135] * vU_[3] - vU_[164] * (vU_[162] * jac[92] + vU_[160] * jac[91] + vU_[239] * jac[90] + vU_[159] * jac[95] + vU_[92] * jac[94]) - vU_[155] * vU_[133]) / vU_[154];
+ vU_[52] = jac[90] + jac[99];
+ vU_[153] = vU_[49] * vU_[3] + vU_[132] * vU_[133] + vU_[175] * vU_[86];
+ vU_[133] = vU_[143] * vU_[3] + vU_[77] * vU_[133] + vU_[148] * vU_[86];
+ jac[100] = (0 - vU_[131] * vU_[86] - vU_[125] * (vU_[126] * vU_[52] + vU_[144] * vU_[75]) - vU_[130] * (vU_[144] * vU_[52] + vU_[77] * vU_[75]) - vU_[140] * vU_[153] - vU_[138] * vU_[133]) / vU_[131];
+ vU_[86] = vU_[86] + jac[100];
+ jac[101] = (0 - 0.1104774 * (vU_[78] * vU_[153] + vU_[166] * vU_[133] + vU_[97] * vU_[86]) - -0.0004405 * (vU_[121] * vU_[153] + vU_[78] * vU_[133] + vU_[124] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[101] * jac[92] + vU_[24] * jac[91];
+ vU_[133] = vU_[24] * jac[92] + vU_[102] * jac[91];
+ vU_[22] = 0.207 * jac[92] + vU_[22];
+ vU_[153] = vU_[117] * jac[92] + vU_[165] * jac[91] + vU_[99] * jac[90] + vU_[34] * jac[95] + vU_[48] * jac[94];
+ jac[102] = (0 - vU_[95] * vU_[81] - vU_[83] * vU_[86] - vU_[71] * vU_[133] - vU_[70] * vU_[22] - vU_[106] * (vU_[104] * jac[92] + vU_[103] * jac[91] + vU_[58] * jac[90] + vU_[101] * jac[95] + vU_[212] * jac[94]) - vU_[96] * vU_[153]) / vU_[95];
+ vU_[52] = -1 * vU_[86];
+ vU_[81] = vU_[81] + jac[102];
+ vU_[75] = vU_[61] * vU_[22] + vU_[94] * vU_[153] + vU_[36] * vU_[86];
+ vU_[153] = vU_[79] * vU_[22] + vU_[61] * vU_[153] + vU_[88] * vU_[86];
+ jac[103] = (0 - vU_[66] * vU_[52] - 2.1e-05 * (vU_[61] * vU_[81] + vU_[80] * vU_[133]) - -0.000102 * (vU_[79] * vU_[81] + vU_[61] * vU_[133]) - vU_[76] * vU_[75] - vU_[73] * vU_[153]) / vU_[66];
+ vU_[52] = vU_[52] + jac[103];
+ jac[104] = (0 - 0.110125 * (vU_[64] * vU_[75] + vU_[147] * vU_[153] + vU_[35] * vU_[52]) - 0.000881 * (vU_[62] * vU_[75] + vU_[64] * vU_[153] + vU_[63] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[42] * jac[92] + vU_[0] * jac[91];
+ vU_[153] = vU_[44] * jac[92] + vU_[42] * jac[91];
+ vU_[75] = 0.207 * jac[92] + jac[93];
+ vU_[81] = vU_[11] * jac[92] + vU_[68] * jac[91] + vU_[41] * jac[90] + vU_[16] * jac[95] + vU_[42] * jac[94];
+ jac[105] = (0 - vU_[37] * jac[90] - vU_[12] * vU_[52] - vU_[19] * vU_[153] - vU_[18] * vU_[75] - vU_[47] * (vU_[45] * jac[92] + vU_[43] * jac[91] + vU_[157] * jac[90] + vU_[42] * jac[95] + vU_[0] * jac[94]) - vU_[38] * vU_[81]) / vU_[37];
+ vU_[133] = jac[90] + jac[105];
+ vU_[22] = vU_[189] * vU_[75] + vU_[139] * vU_[81] + vU_[142] * vU_[52];
+ vU_[81] = vU_[26] * vU_[75] + vU_[1] * vU_[81] + vU_[31] * vU_[52];
+ jac[106] = (0 - vU_[14] * vU_[52] - vU_[8] * (vU_[9] * vU_[133] + vU_[27] * vU_[153]) - vU_[13] * (vU_[27] * vU_[133] + vU_[1] * vU_[153]) - vU_[23] * vU_[22] - vU_[21] * vU_[81]) / vU_[14];
+ vU_[52] = vU_[52] + jac[106];
+ jac[107] = (0 - 0.1104774 * (vU_[2] * vU_[22] + vU_[111] * vU_[81] + vU_[107] * vU_[52]) - 0.0004405 * (vU_[4] * vU_[22] + vU_[2] * vU_[81] + vU_[7] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[129] / vU_[154];
+ vU_[81] = vU_[136] / vU_[154];
+ vU_[22] = vU_[135] / vU_[154];
+ vU_[133] = vU_[164] / vU_[154];
+ vU_[153] = vU_[155] / vU_[154];
+ vU_[75] = (vU_[154] / vU_[154] + vU_[239] * vU_[133] + vU_[158] * vU_[153]) / vU_[210];
+ vU_[86] = (vU_[92] * vU_[52] + vU_[159] * vU_[81] + vU_[160] * vU_[133] + vU_[152] * vU_[153] - vU_[216] * vU_[75]) / vU_[208];
+ vU_[81] = (vU_[159] * vU_[52] + vU_[161] * vU_[81] + 0.207 * vU_[22] + vU_[162] * vU_[133] + vU_[82] * vU_[153] - vU_[177] * vU_[86] - vU_[229] * vU_[75]) / vU_[183];
+ vU_[22] = (vU_[22] - vU_[192] * vU_[86] - vU_[32] * vU_[75] - vU_[205] * vU_[81]) / vU_[194];
+ vU_[52] = (vU_[92] * vU_[133] + vU_[159] * vU_[153] - vU_[232] * vU_[86] - vU_[209] * vU_[75] - vU_[233] * vU_[81] - vU_[90] * vU_[22]) / vU_[112];
+ vU_[153] = (vU_[159] * vU_[133] + vU_[93] * vU_[153] - vU_[213] * vU_[86] - vU_[193] * vU_[75] - vU_[226] * vU_[81] - vU_[236] * vU_[22] - vU_[98] * vU_[52]) / vU_[40];
+ jac[131] = - vU_[153];
+ vU_[52] = vU_[52] - vU_[169] * vU_[153];
+ jac[130] = - vU_[52];
+ vU_[22] = vU_[22] - vU_[230] * vU_[153] - vU_[171] * vU_[52];
+ jac[129] = - vU_[22];
+ vU_[81] = vU_[81] - vU_[59] * vU_[52] - vU_[149] * vU_[22] - vU_[199] * vU_[153];
+ jac[128] = - vU_[81];
+ vU_[86] = vU_[86] - vU_[113] * vU_[22] - vU_[186] * vU_[81] - vU_[176] * vU_[52] - vU_[137] * vU_[153];
+ jac[126] = vU_[128] * vU_[81] + vU_[238] * vU_[86] + vU_[54] * vU_[22] + vU_[237] * vU_[52] + vU_[120] * vU_[153] - vU_[75];
+ jac[127] = - vU_[86];
+ vU_[86] = -1 * jac[126];
+ vU_[81] = vU_[220] * jac[128] + vU_[141] * jac[127];
+ vU_[22] = vU_[141] * jac[128] + vU_[221] * jac[127];
+ vU_[52] = -1 * jac[129];
+ vU_[153] = 0.207 * jac[128] + vU_[52];
+ vU_[75] = vU_[33] * jac[128] + vU_[119] * jac[127] + vU_[218] * jac[126] + vU_[151] * jac[131] + vU_[217] * jac[130];
+ jac[132] = (0 - vU_[214] * vU_[86] - vU_[206] * vU_[81] - vU_[196] * vU_[22] - vU_[195] * vU_[153] - vU_[225] * (vU_[223] * jac[128] + vU_[222] * jac[127] + vU_[156] * jac[126] + vU_[220] * jac[131] + vU_[118] * jac[130]) - vU_[215] * vU_[75]) / vU_[214];
+ vU_[133] = -1 * vU_[81];
+ vU_[3] = vU_[86] + jac[132];
+ vU_[85] = vU_[178] * vU_[153] + vU_[15] * vU_[75] + vU_[28] * vU_[81];
+ vU_[75] = vU_[203] * vU_[153] + vU_[178] * vU_[75] + vU_[207] * vU_[81];
+ jac[133] = (0 - vU_[191] * vU_[133] - vU_[185] * (vU_[178] * vU_[3] + vU_[204] * vU_[22]) - vU_[190] * (vU_[203] * vU_[3] + vU_[178] * vU_[22]) - vU_[200] * vU_[85] - vU_[198] * vU_[75]) / vU_[191];
+ vU_[133] = vU_[133] + jac[133];
+ jac[134] = (0 - 0.1104774 * (vU_[179] * vU_[85] + vU_[170] * vU_[75] + vU_[91] * vU_[133]) - -0.0004405 * (vU_[181] * vU_[85] + vU_[179] * vU_[75] + vU_[184] * vU_[133]) - 0.026181 * vU_[133]) / 0.026181;
+ vU_[133] = vU_[159] * jac[128] + vU_[92] * jac[127];
+ vU_[75] = vU_[161] * jac[128] + vU_[159] * jac[127];
+ vU_[85] = 0.207 * jac[128] + jac[129];
+ vU_[3] = vU_[82] * jac[128] + vU_[152] * jac[127] + vU_[158] * jac[126] + vU_[93] * jac[131] + vU_[159] * jac[130];
+ jac[135] = (1 - vU_[154] * jac[126] - vU_[129] * vU_[133] - vU_[136] * vU_[75] - vU_[135] * vU_[85] - vU_[164] * (vU_[162] * jac[128] + vU_[160] * jac[127] + vU_[239] * jac[126] + vU_[159] * jac[131] + vU_[92] * jac[130]) - vU_[155] * vU_[3]) / vU_[154];
+ vU_[22] = jac[126] + jac[135];
+ vU_[153] = vU_[49] * vU_[85] + vU_[132] * vU_[3] + vU_[175] * vU_[133];
+ vU_[3] = vU_[143] * vU_[85] + vU_[77] * vU_[3] + vU_[148] * vU_[133];
+ jac[136] = (0 - vU_[131] * vU_[133] - vU_[125] * (vU_[126] * vU_[22] + vU_[144] * vU_[75]) - vU_[130] * (vU_[144] * vU_[22] + vU_[77] * vU_[75]) - vU_[140] * vU_[153] - vU_[138] * vU_[3]) / vU_[131];
+ vU_[133] = vU_[133] + jac[136];
+ jac[137] = (0 - 0.1104774 * (vU_[78] * vU_[153] + vU_[166] * vU_[3] + vU_[97] * vU_[133]) - -0.0004405 * (vU_[121] * vU_[153] + vU_[78] * vU_[3] + vU_[124] * vU_[133]) - 0.026181 * vU_[133]) / 0.026181;
+ vU_[133] = vU_[101] * jac[128] + vU_[24] * jac[127];
+ vU_[3] = vU_[24] * jac[128] + vU_[102] * jac[127];
+ vU_[52] = 0.207 * jac[128] + vU_[52];
+ vU_[153] = vU_[117] * jac[128] + vU_[165] * jac[127] + vU_[99] * jac[126] + vU_[34] * jac[131] + vU_[48] * jac[130];
+ jac[138] = (0 - vU_[95] * vU_[86] - vU_[83] * vU_[133] - vU_[71] * vU_[3] - vU_[70] * vU_[52] - vU_[106] * (vU_[104] * jac[128] + vU_[103] * jac[127] + vU_[58] * jac[126] + vU_[101] * jac[131] + vU_[212] * jac[130]) - vU_[96] * vU_[153]) / vU_[95];
+ vU_[22] = -1 * vU_[133];
+ vU_[86] = vU_[86] + jac[138];
+ vU_[75] = vU_[61] * vU_[52] + vU_[94] * vU_[153] + vU_[36] * vU_[133];
+ vU_[153] = vU_[79] * vU_[52] + vU_[61] * vU_[153] + vU_[88] * vU_[133];
+ jac[139] = (0 - vU_[66] * vU_[22] - 2.1e-05 * (vU_[61] * vU_[86] + vU_[80] * vU_[3]) - -0.000102 * (vU_[79] * vU_[86] + vU_[61] * vU_[3]) - vU_[76] * vU_[75] - vU_[73] * vU_[153]) / vU_[66];
+ vU_[22] = vU_[22] + jac[139];
+ jac[140] = (0 - 0.110125 * (vU_[64] * vU_[75] + vU_[147] * vU_[153] + vU_[35] * vU_[22]) - 0.000881 * (vU_[62] * vU_[75] + vU_[64] * vU_[153] + vU_[63] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[42] * jac[128] + vU_[0] * jac[127];
+ vU_[153] = vU_[44] * jac[128] + vU_[42] * jac[127];
+ vU_[75] = 0.207 * jac[128] + jac[129];
+ vU_[86] = vU_[11] * jac[128] + vU_[68] * jac[127] + vU_[41] * jac[126] + vU_[16] * jac[131] + vU_[42] * jac[130];
+ jac[141] = (0 - vU_[37] * jac[126] - vU_[12] * vU_[22] - vU_[19] * vU_[153] - vU_[18] * vU_[75] - vU_[47] * (vU_[45] * jac[128] + vU_[43] * jac[127] + vU_[157] * jac[126] + vU_[42] * jac[131] + vU_[0] * jac[130]) - vU_[38] * vU_[86]) / vU_[37];
+ vU_[3] = jac[126] + jac[141];
+ vU_[52] = vU_[189] * vU_[75] + vU_[139] * vU_[86] + vU_[142] * vU_[22];
+ vU_[86] = vU_[26] * vU_[75] + vU_[1] * vU_[86] + vU_[31] * vU_[22];
+ jac[142] = (0 - vU_[14] * vU_[22] - vU_[8] * (vU_[9] * vU_[3] + vU_[27] * vU_[153]) - vU_[13] * (vU_[27] * vU_[3] + vU_[1] * vU_[153]) - vU_[23] * vU_[52] - vU_[21] * vU_[86]) / vU_[14];
+ vU_[22] = vU_[22] + jac[142];
+ jac[143] = (0 - 0.1104774 * (vU_[2] * vU_[52] + vU_[111] * vU_[86] + vU_[107] * vU_[22]) - 0.0004405 * (vU_[4] * vU_[52] + vU_[2] * vU_[86] + vU_[7] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[140] / vU_[131];
+ vU_[86] = vU_[138] / vU_[131];
+ vU_[52] = vU_[125] / vU_[131];
+ vU_[3] = vU_[130] / vU_[131];
+ vU_[153] = vU_[126] * vU_[52] + vU_[144] * vU_[3];
+ vU_[75] = 0 - vU_[153];
+ vU_[133] = vU_[131] / vU_[131] + vU_[175] * vU_[22] + vU_[148] * vU_[86] + (vU_[129] * vU_[75]) / vU_[154];
+ vU_[3] = vU_[144] * vU_[52] + vU_[77] * vU_[3] + (vU_[136] * vU_[75]) / vU_[154];
+ vU_[52] = vU_[49] * vU_[22] + vU_[143] * vU_[86] + (vU_[135] * vU_[75]) / vU_[154];
+ vU_[85] = (vU_[164] * vU_[75]) / vU_[154];
+ vU_[86] = vU_[132] * vU_[22] + vU_[77] * vU_[86] + (vU_[155] * vU_[75]) / vU_[154];
+ vU_[153] = ((vU_[154] * vU_[75]) / vU_[154] + vU_[153] + vU_[239] * vU_[85] + vU_[158] * vU_[86]) / vU_[210];
+ vU_[22] = (vU_[92] * vU_[133] + vU_[159] * vU_[3] + vU_[160] * vU_[85] + vU_[152] * vU_[86] - vU_[216] * vU_[153]) / vU_[208];
+ vU_[3] = (vU_[159] * vU_[133] + vU_[161] * vU_[3] + 0.207 * vU_[52] + vU_[162] * vU_[85] + vU_[82] * vU_[86] - vU_[177] * vU_[22] - vU_[229] * vU_[153]) / vU_[183];
+ vU_[52] = (vU_[52] - vU_[192] * vU_[22] - vU_[32] * vU_[153] - vU_[205] * vU_[3]) / vU_[194];
+ vU_[133] = (vU_[92] * vU_[85] + vU_[159] * vU_[86] - vU_[232] * vU_[22] - vU_[209] * vU_[153] - vU_[233] * vU_[3] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[86] = (vU_[159] * vU_[85] + vU_[93] * vU_[86] - vU_[213] * vU_[22] - vU_[193] * vU_[153] - vU_[226] * vU_[3] - vU_[236] * vU_[52] - vU_[98] * vU_[133]) / vU_[40];
+ jac[167] = - vU_[86];
+ vU_[133] = vU_[133] - vU_[169] * vU_[86];
+ jac[166] = - vU_[133];
+ vU_[52] = vU_[52] - vU_[230] * vU_[86] - vU_[171] * vU_[133];
+ jac[165] = - vU_[52];
+ vU_[3] = vU_[3] - vU_[59] * vU_[133] - vU_[149] * vU_[52] - vU_[199] * vU_[86];
+ jac[164] = - vU_[3];
+ vU_[22] = vU_[22] - vU_[113] * vU_[52] - vU_[186] * vU_[3] - vU_[176] * vU_[133] - vU_[137] * vU_[86];
+ jac[162] = vU_[128] * vU_[3] + vU_[238] * vU_[22] + vU_[54] * vU_[52] + vU_[237] * vU_[133] + vU_[120] * vU_[86] - vU_[153];
+ jac[163] = - vU_[22];
+ vU_[22] = -1 * jac[162];
+ vU_[3] = vU_[220] * jac[164] + vU_[141] * jac[163];
+ vU_[52] = vU_[141] * jac[164] + vU_[221] * jac[163];
+ vU_[133] = -1 * jac[165];
+ vU_[86] = 0.207 * jac[164] + vU_[133];
+ vU_[153] = vU_[33] * jac[164] + vU_[119] * jac[163] + vU_[218] * jac[162] + vU_[151] * jac[167] + vU_[217] * jac[166];
+ jac[168] = (0 - vU_[214] * vU_[22] - vU_[206] * vU_[3] - vU_[196] * vU_[52] - vU_[195] * vU_[86] - vU_[225] * (vU_[223] * jac[164] + vU_[222] * jac[163] + vU_[156] * jac[162] + vU_[220] * jac[167] + vU_[118] * jac[166]) - vU_[215] * vU_[153]) / vU_[214];
+ vU_[85] = -1 * vU_[3];
+ vU_[81] = vU_[22] + jac[168];
+ vU_[25] = vU_[178] * vU_[86] + vU_[15] * vU_[153] + vU_[28] * vU_[3];
+ vU_[153] = vU_[203] * vU_[86] + vU_[178] * vU_[153] + vU_[207] * vU_[3];
+ jac[169] = (0 - vU_[191] * vU_[85] - vU_[185] * (vU_[178] * vU_[81] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[81] + vU_[178] * vU_[52]) - vU_[200] * vU_[25] - vU_[198] * vU_[153]) / vU_[191];
+ vU_[85] = vU_[85] + jac[169];
+ jac[170] = (0 - 0.1104774 * (vU_[179] * vU_[25] + vU_[170] * vU_[153] + vU_[91] * vU_[85]) - -0.0004405 * (vU_[181] * vU_[25] + vU_[179] * vU_[153] + vU_[184] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = vU_[159] * jac[164] + vU_[92] * jac[163];
+ vU_[153] = vU_[161] * jac[164] + vU_[159] * jac[163];
+ vU_[25] = 0.207 * jac[164] + jac[165];
+ vU_[81] = vU_[82] * jac[164] + vU_[152] * jac[163] + vU_[158] * jac[162] + vU_[93] * jac[167] + vU_[159] * jac[166];
+ jac[171] = (vU_[75] - vU_[154] * jac[162] - vU_[129] * vU_[85] - vU_[136] * vU_[153] - vU_[135] * vU_[25] - vU_[164] * (vU_[162] * jac[164] + vU_[160] * jac[163] + vU_[239] * jac[162] + vU_[159] * jac[167] + vU_[92] * jac[166]) - vU_[155] * vU_[81]) / vU_[154];
+ vU_[75] = jac[162] + jac[171];
+ vU_[52] = vU_[49] * vU_[25] + vU_[132] * vU_[81] + vU_[175] * vU_[85];
+ vU_[81] = vU_[143] * vU_[25] + vU_[77] * vU_[81] + vU_[148] * vU_[85];
+ jac[172] = (1 - vU_[131] * vU_[85] - vU_[125] * (vU_[126] * vU_[75] + vU_[144] * vU_[153]) - vU_[130] * (vU_[144] * vU_[75] + vU_[77] * vU_[153]) - vU_[140] * vU_[52] - vU_[138] * vU_[81]) / vU_[131];
+ vU_[85] = vU_[85] + jac[172];
+ jac[173] = (0 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[81] + vU_[97] * vU_[85]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[81] + vU_[124] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = vU_[101] * jac[164] + vU_[24] * jac[163];
+ vU_[81] = vU_[24] * jac[164] + vU_[102] * jac[163];
+ vU_[133] = 0.207 * jac[164] + vU_[133];
+ vU_[52] = vU_[117] * jac[164] + vU_[165] * jac[163] + vU_[99] * jac[162] + vU_[34] * jac[167] + vU_[48] * jac[166];
+ jac[174] = (0 - vU_[95] * vU_[22] - vU_[83] * vU_[85] - vU_[71] * vU_[81] - vU_[70] * vU_[133] - vU_[106] * (vU_[104] * jac[164] + vU_[103] * jac[163] + vU_[58] * jac[162] + vU_[101] * jac[167] + vU_[212] * jac[166]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[75] = -1 * vU_[85];
+ vU_[22] = vU_[22] + jac[174];
+ vU_[153] = vU_[61] * vU_[133] + vU_[94] * vU_[52] + vU_[36] * vU_[85];
+ vU_[52] = vU_[79] * vU_[133] + vU_[61] * vU_[52] + vU_[88] * vU_[85];
+ jac[175] = (0 - vU_[66] * vU_[75] - 2.1e-05 * (vU_[61] * vU_[22] + vU_[80] * vU_[81]) - -0.000102 * (vU_[79] * vU_[22] + vU_[61] * vU_[81]) - vU_[76] * vU_[153] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[75] = vU_[75] + jac[175];
+ jac[176] = (0 - 0.110125 * (vU_[64] * vU_[153] + vU_[147] * vU_[52] + vU_[35] * vU_[75]) - 0.000881 * (vU_[62] * vU_[153] + vU_[64] * vU_[52] + vU_[63] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[42] * jac[164] + vU_[0] * jac[163];
+ vU_[52] = vU_[44] * jac[164] + vU_[42] * jac[163];
+ vU_[153] = 0.207 * jac[164] + jac[165];
+ vU_[22] = vU_[11] * jac[164] + vU_[68] * jac[163] + vU_[41] * jac[162] + vU_[16] * jac[167] + vU_[42] * jac[166];
+ jac[177] = (0 - vU_[37] * jac[162] - vU_[12] * vU_[75] - vU_[19] * vU_[52] - vU_[18] * vU_[153] - vU_[47] * (vU_[45] * jac[164] + vU_[43] * jac[163] + vU_[157] * jac[162] + vU_[42] * jac[167] + vU_[0] * jac[166]) - vU_[38] * vU_[22]) / vU_[37];
+ vU_[81] = jac[162] + jac[177];
+ vU_[133] = vU_[189] * vU_[153] + vU_[139] * vU_[22] + vU_[142] * vU_[75];
+ vU_[22] = vU_[26] * vU_[153] + vU_[1] * vU_[22] + vU_[31] * vU_[75];
+ jac[178] = (0 - vU_[14] * vU_[75] - vU_[8] * (vU_[9] * vU_[81] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[81] + vU_[1] * vU_[52]) - vU_[23] * vU_[133] - vU_[21] * vU_[22]) / vU_[14];
+ vU_[75] = vU_[75] + jac[178];
+ jac[179] = (0 - 0.1104774 * (vU_[2] * vU_[133] + vU_[111] * vU_[22] + vU_[107] * vU_[75]) - 0.0004405 * (vU_[4] * vU_[133] + vU_[2] * vU_[22] + vU_[7] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = 1 + vU_[97] * 4.21975478400367 + vU_[124] * -0.0168251785646079;
+ vU_[22] = 0 - vU_[75];
+ vU_[133] = vU_[78] * 4.21975478400367 + vU_[121] * -0.0168251785646079 + (vU_[140] * vU_[22]) / vU_[131];
+ vU_[81] = vU_[166] * 4.21975478400367 + vU_[78] * -0.0168251785646079 + (vU_[138] * vU_[22]) / vU_[131];
+ vU_[52] = (vU_[125] * vU_[22]) / vU_[131];
+ vU_[153] = (vU_[130] * vU_[22]) / vU_[131];
+ vU_[85] = vU_[126] * vU_[52] + vU_[144] * vU_[153];
+ vU_[25] = 0 - vU_[85];
+ vU_[75] = (vU_[131] * vU_[22]) / vU_[131] + vU_[75] + vU_[175] * vU_[133] + vU_[148] * vU_[81] + (vU_[129] * vU_[25]) / vU_[154];
+ vU_[153] = vU_[144] * vU_[52] + vU_[77] * vU_[153] + (vU_[136] * vU_[25]) / vU_[154];
+ vU_[52] = vU_[49] * vU_[133] + vU_[143] * vU_[81] + (vU_[135] * vU_[25]) / vU_[154];
+ vU_[86] = (vU_[164] * vU_[25]) / vU_[154];
+ vU_[81] = vU_[132] * vU_[133] + vU_[77] * vU_[81] + (vU_[155] * vU_[25]) / vU_[154];
+ vU_[85] = ((vU_[154] * vU_[25]) / vU_[154] + vU_[85] + vU_[239] * vU_[86] + vU_[158] * vU_[81]) / vU_[210];
+ vU_[133] = (vU_[92] * vU_[75] + vU_[159] * vU_[153] + vU_[160] * vU_[86] + vU_[152] * vU_[81] - vU_[216] * vU_[85]) / vU_[208];
+ vU_[153] = (vU_[159] * vU_[75] + vU_[161] * vU_[153] + 0.207 * vU_[52] + vU_[162] * vU_[86] + vU_[82] * vU_[81] - vU_[177] * vU_[133] - vU_[229] * vU_[85]) / vU_[183];
+ vU_[52] = (vU_[52] - vU_[192] * vU_[133] - vU_[32] * vU_[85] - vU_[205] * vU_[153]) / vU_[194];
+ vU_[75] = (vU_[92] * vU_[86] + vU_[159] * vU_[81] - vU_[232] * vU_[133] - vU_[209] * vU_[85] - vU_[233] * vU_[153] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[81] = (vU_[159] * vU_[86] + vU_[93] * vU_[81] - vU_[213] * vU_[133] - vU_[193] * vU_[85] - vU_[226] * vU_[153] - vU_[236] * vU_[52] - vU_[98] * vU_[75]) / vU_[40];
+ jac[203] = - vU_[81];
+ vU_[75] = vU_[75] - vU_[169] * vU_[81];
+ jac[202] = - vU_[75];
+ vU_[52] = vU_[52] - vU_[230] * vU_[81] - vU_[171] * vU_[75];
+ jac[201] = - vU_[52];
+ vU_[153] = vU_[153] - vU_[59] * vU_[75] - vU_[149] * vU_[52] - vU_[199] * vU_[81];
+ jac[200] = - vU_[153];
+ vU_[133] = vU_[133] - vU_[113] * vU_[52] - vU_[186] * vU_[153] - vU_[176] * vU_[75] - vU_[137] * vU_[81];
+ jac[198] = vU_[128] * vU_[153] + vU_[238] * vU_[133] + vU_[54] * vU_[52] + vU_[237] * vU_[75] + vU_[120] * vU_[81] - vU_[85];
+ jac[199] = - vU_[133];
+ vU_[133] = -1 * jac[198];
+ vU_[153] = vU_[220] * jac[200] + vU_[141] * jac[199];
+ vU_[52] = vU_[141] * jac[200] + vU_[221] * jac[199];
+ vU_[75] = -1 * jac[201];
+ vU_[81] = 0.207 * jac[200] + vU_[75];
+ vU_[85] = vU_[33] * jac[200] + vU_[119] * jac[199] + vU_[218] * jac[198] + vU_[151] * jac[203] + vU_[217] * jac[202];
+ jac[204] = (0 - vU_[214] * vU_[133] - vU_[206] * vU_[153] - vU_[196] * vU_[52] - vU_[195] * vU_[81] - vU_[225] * (vU_[223] * jac[200] + vU_[222] * jac[199] + vU_[156] * jac[198] + vU_[220] * jac[203] + vU_[118] * jac[202]) - vU_[215] * vU_[85]) / vU_[214];
+ vU_[86] = -1 * vU_[153];
+ vU_[3] = vU_[133] + jac[204];
+ vU_[20] = vU_[178] * vU_[81] + vU_[15] * vU_[85] + vU_[28] * vU_[153];
+ vU_[85] = vU_[203] * vU_[81] + vU_[178] * vU_[85] + vU_[207] * vU_[153];
+ jac[205] = (0 - vU_[191] * vU_[86] - vU_[185] * (vU_[178] * vU_[3] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[3] + vU_[178] * vU_[52]) - vU_[200] * vU_[20] - vU_[198] * vU_[85]) / vU_[191];
+ vU_[86] = vU_[86] + jac[205];
+ jac[206] = (0 - 0.1104774 * (vU_[179] * vU_[20] + vU_[170] * vU_[85] + vU_[91] * vU_[86]) - -0.0004405 * (vU_[181] * vU_[20] + vU_[179] * vU_[85] + vU_[184] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[159] * jac[200] + vU_[92] * jac[199];
+ vU_[85] = vU_[161] * jac[200] + vU_[159] * jac[199];
+ vU_[20] = 0.207 * jac[200] + jac[201];
+ vU_[3] = vU_[82] * jac[200] + vU_[152] * jac[199] + vU_[158] * jac[198] + vU_[93] * jac[203] + vU_[159] * jac[202];
+ jac[207] = (vU_[25] - vU_[154] * jac[198] - vU_[129] * vU_[86] - vU_[136] * vU_[85] - vU_[135] * vU_[20] - vU_[164] * (vU_[162] * jac[200] + vU_[160] * jac[199] + vU_[239] * jac[198] + vU_[159] * jac[203] + vU_[92] * jac[202]) - vU_[155] * vU_[3]) / vU_[154];
+ vU_[25] = jac[198] + jac[207];
+ vU_[52] = vU_[49] * vU_[20] + vU_[132] * vU_[3] + vU_[175] * vU_[86];
+ vU_[3] = vU_[143] * vU_[20] + vU_[77] * vU_[3] + vU_[148] * vU_[86];
+ jac[208] = (vU_[22] - vU_[131] * vU_[86] - vU_[125] * (vU_[126] * vU_[25] + vU_[144] * vU_[85]) - vU_[130] * (vU_[144] * vU_[25] + vU_[77] * vU_[85]) - vU_[140] * vU_[52] - vU_[138] * vU_[3]) / vU_[131];
+ vU_[86] = vU_[86] + jac[208];
+ jac[209] = (1 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[3] + vU_[97] * vU_[86]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[3] + vU_[124] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[101] * jac[200] + vU_[24] * jac[199];
+ vU_[3] = vU_[24] * jac[200] + vU_[102] * jac[199];
+ vU_[75] = 0.207 * jac[200] + vU_[75];
+ vU_[52] = vU_[117] * jac[200] + vU_[165] * jac[199] + vU_[99] * jac[198] + vU_[34] * jac[203] + vU_[48] * jac[202];
+ jac[210] = (0 - vU_[95] * vU_[133] - vU_[83] * vU_[86] - vU_[71] * vU_[3] - vU_[70] * vU_[75] - vU_[106] * (vU_[104] * jac[200] + vU_[103] * jac[199] + vU_[58] * jac[198] + vU_[101] * jac[203] + vU_[212] * jac[202]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[25] = -1 * vU_[86];
+ vU_[133] = vU_[133] + jac[210];
+ vU_[85] = vU_[61] * vU_[75] + vU_[94] * vU_[52] + vU_[36] * vU_[86];
+ vU_[52] = vU_[79] * vU_[75] + vU_[61] * vU_[52] + vU_[88] * vU_[86];
+ jac[211] = (0 - vU_[66] * vU_[25] - 2.1e-05 * (vU_[61] * vU_[133] + vU_[80] * vU_[3]) - -0.000102 * (vU_[79] * vU_[133] + vU_[61] * vU_[3]) - vU_[76] * vU_[85] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[25] = vU_[25] + jac[211];
+ jac[212] = (0 - 0.110125 * (vU_[64] * vU_[85] + vU_[147] * vU_[52] + vU_[35] * vU_[25]) - 0.000881 * (vU_[62] * vU_[85] + vU_[64] * vU_[52] + vU_[63] * vU_[25]) - 0.026181 * vU_[25]) / 0.026181;
+ vU_[25] = vU_[42] * jac[200] + vU_[0] * jac[199];
+ vU_[52] = vU_[44] * jac[200] + vU_[42] * jac[199];
+ vU_[85] = 0.207 * jac[200] + jac[201];
+ vU_[133] = vU_[11] * jac[200] + vU_[68] * jac[199] + vU_[41] * jac[198] + vU_[16] * jac[203] + vU_[42] * jac[202];
+ jac[213] = (0 - vU_[37] * jac[198] - vU_[12] * vU_[25] - vU_[19] * vU_[52] - vU_[18] * vU_[85] - vU_[47] * (vU_[45] * jac[200] + vU_[43] * jac[199] + vU_[157] * jac[198] + vU_[42] * jac[203] + vU_[0] * jac[202]) - vU_[38] * vU_[133]) / vU_[37];
+ vU_[3] = jac[198] + jac[213];
+ vU_[75] = vU_[189] * vU_[85] + vU_[139] * vU_[133] + vU_[142] * vU_[25];
+ vU_[133] = vU_[26] * vU_[85] + vU_[1] * vU_[133] + vU_[31] * vU_[25];
+ jac[214] = (0 - vU_[14] * vU_[25] - vU_[8] * (vU_[9] * vU_[3] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[3] + vU_[1] * vU_[52]) - vU_[23] * vU_[75] - vU_[21] * vU_[133]) / vU_[14];
+ vU_[25] = vU_[25] + jac[214];
+ jac[215] = (0 - 0.1104774 * (vU_[2] * vU_[75] + vU_[111] * vU_[133] + vU_[107] * vU_[25]) - 0.0004405 * (vU_[4] * vU_[75] + vU_[2] * vU_[133] + vU_[7] * vU_[25]) - 0.026181 * vU_[25]) / 0.026181;
+ vU_[25] = vU_[83] / vU_[95];
+ vU_[133] = vU_[71] / vU_[95];
+ vU_[75] = vU_[70] / vU_[95];
+ vU_[3] = vU_[106] / vU_[95];
+ vU_[52] = vU_[96] / vU_[95];
+ vU_[85] = (vU_[58] * vU_[3] + vU_[99] * vU_[52] + -1 * vU_[95] / vU_[95]) / vU_[210];
+ vU_[86] = (vU_[24] * vU_[25] + vU_[102] * vU_[133] + vU_[103] * vU_[3] + vU_[165] * vU_[52] - vU_[216] * vU_[85]) / vU_[208];
+ vU_[133] = (vU_[101] * vU_[25] + vU_[24] * vU_[133] + 0.207 * vU_[75] + vU_[104] * vU_[3] + vU_[117] * vU_[52] - vU_[177] * vU_[86] - vU_[229] * vU_[85]) / vU_[183];
+ vU_[75] = (-1 * vU_[75] - vU_[192] * vU_[86] - vU_[32] * vU_[85] - vU_[205] * vU_[133]) / vU_[194];
+ vU_[25] = (vU_[212] * vU_[3] + vU_[48] * vU_[52] - vU_[232] * vU_[86] - vU_[209] * vU_[85] - vU_[233] * vU_[133] - vU_[90] * vU_[75]) / vU_[112];
+ vU_[52] = (vU_[101] * vU_[3] + vU_[34] * vU_[52] - vU_[213] * vU_[86] - vU_[193] * vU_[85] - vU_[226] * vU_[133] - vU_[236] * vU_[75] - vU_[98] * vU_[25]) / vU_[40];
+ jac[239] = - vU_[52];
+ vU_[25] = vU_[25] - vU_[169] * vU_[52];
+ jac[238] = - vU_[25];
+ vU_[75] = vU_[75] - vU_[230] * vU_[52] - vU_[171] * vU_[25];
+ jac[237] = - vU_[75];
+ vU_[133] = vU_[133] - vU_[59] * vU_[25] - vU_[149] * vU_[75] - vU_[199] * vU_[52];
+ jac[236] = - vU_[133];
+ vU_[86] = vU_[86] - vU_[113] * vU_[75] - vU_[186] * vU_[133] - vU_[176] * vU_[25] - vU_[137] * vU_[52];
+ jac[234] = vU_[128] * vU_[133] + vU_[238] * vU_[86] + vU_[54] * vU_[75] + vU_[237] * vU_[25] + vU_[120] * vU_[52] - vU_[85];
+ jac[235] = - vU_[86];
+ vU_[86] = -1 * jac[234];
+ vU_[133] = vU_[220] * jac[236] + vU_[141] * jac[235];
+ vU_[75] = vU_[141] * jac[236] + vU_[221] * jac[235];
+ vU_[25] = -1 * jac[237];
+ vU_[52] = 0.207 * jac[236] + vU_[25];
+ vU_[85] = vU_[33] * jac[236] + vU_[119] * jac[235] + vU_[218] * jac[234] + vU_[151] * jac[239] + vU_[217] * jac[238];
+ jac[240] = (0 - vU_[214] * vU_[86] - vU_[206] * vU_[133] - vU_[196] * vU_[75] - vU_[195] * vU_[52] - vU_[225] * (vU_[223] * jac[236] + vU_[222] * jac[235] + vU_[156] * jac[234] + vU_[220] * jac[239] + vU_[118] * jac[238]) - vU_[215] * vU_[85]) / vU_[214];
+ vU_[3] = -1 * vU_[133];
+ vU_[22] = vU_[86] + jac[240];
+ vU_[20] = vU_[178] * vU_[52] + vU_[15] * vU_[85] + vU_[28] * vU_[133];
+ vU_[85] = vU_[203] * vU_[52] + vU_[178] * vU_[85] + vU_[207] * vU_[133];
+ jac[241] = (0 - vU_[191] * vU_[3] - vU_[185] * (vU_[178] * vU_[22] + vU_[204] * vU_[75]) - vU_[190] * (vU_[203] * vU_[22] + vU_[178] * vU_[75]) - vU_[200] * vU_[20] - vU_[198] * vU_[85]) / vU_[191];
+ vU_[3] = vU_[3] + jac[241];
+ jac[242] = (0 - 0.1104774 * (vU_[179] * vU_[20] + vU_[170] * vU_[85] + vU_[91] * vU_[3]) - -0.0004405 * (vU_[181] * vU_[20] + vU_[179] * vU_[85] + vU_[184] * vU_[3]) - 0.026181 * vU_[3]) / 0.026181;
+ vU_[3] = vU_[159] * jac[236] + vU_[92] * jac[235];
+ vU_[85] = vU_[161] * jac[236] + vU_[159] * jac[235];
+ vU_[20] = 0.207 * jac[236] + jac[237];
+ vU_[22] = vU_[82] * jac[236] + vU_[152] * jac[235] + vU_[158] * jac[234] + vU_[93] * jac[239] + vU_[159] * jac[238];
+ jac[243] = (0 - vU_[154] * jac[234] - vU_[129] * vU_[3] - vU_[136] * vU_[85] - vU_[135] * vU_[20] - vU_[164] * (vU_[162] * jac[236] + vU_[160] * jac[235] + vU_[239] * jac[234] + vU_[159] * jac[239] + vU_[92] * jac[238]) - vU_[155] * vU_[22]) / vU_[154];
+ vU_[75] = jac[234] + jac[243];
+ vU_[52] = vU_[49] * vU_[20] + vU_[132] * vU_[22] + vU_[175] * vU_[3];
+ vU_[22] = vU_[143] * vU_[20] + vU_[77] * vU_[22] + vU_[148] * vU_[3];
+ jac[244] = (0 - vU_[131] * vU_[3] - vU_[125] * (vU_[126] * vU_[75] + vU_[144] * vU_[85]) - vU_[130] * (vU_[144] * vU_[75] + vU_[77] * vU_[85]) - vU_[140] * vU_[52] - vU_[138] * vU_[22]) / vU_[131];
+ vU_[3] = vU_[3] + jac[244];
+ jac[245] = (0 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[22] + vU_[97] * vU_[3]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[22] + vU_[124] * vU_[3]) - 0.026181 * vU_[3]) / 0.026181;
+ vU_[3] = vU_[101] * jac[236] + vU_[24] * jac[235];
+ vU_[22] = vU_[24] * jac[236] + vU_[102] * jac[235];
+ vU_[25] = 0.207 * jac[236] + vU_[25];
+ vU_[52] = vU_[117] * jac[236] + vU_[165] * jac[235] + vU_[99] * jac[234] + vU_[34] * jac[239] + vU_[48] * jac[238];
+ jac[246] = (1 - vU_[95] * vU_[86] - vU_[83] * vU_[3] - vU_[71] * vU_[22] - vU_[70] * vU_[25] - vU_[106] * (vU_[104] * jac[236] + vU_[103] * jac[235] + vU_[58] * jac[234] + vU_[101] * jac[239] + vU_[212] * jac[238]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[75] = -1 * vU_[3];
+ vU_[86] = vU_[86] + jac[246];
+ vU_[85] = vU_[61] * vU_[25] + vU_[94] * vU_[52] + vU_[36] * vU_[3];
+ vU_[52] = vU_[79] * vU_[25] + vU_[61] * vU_[52] + vU_[88] * vU_[3];
+ jac[247] = (0 - vU_[66] * vU_[75] - 2.1e-05 * (vU_[61] * vU_[86] + vU_[80] * vU_[22]) - -0.000102 * (vU_[79] * vU_[86] + vU_[61] * vU_[22]) - vU_[76] * vU_[85] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[75] = vU_[75] + jac[247];
+ jac[248] = (0 - 0.110125 * (vU_[64] * vU_[85] + vU_[147] * vU_[52] + vU_[35] * vU_[75]) - 0.000881 * (vU_[62] * vU_[85] + vU_[64] * vU_[52] + vU_[63] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[42] * jac[236] + vU_[0] * jac[235];
+ vU_[52] = vU_[44] * jac[236] + vU_[42] * jac[235];
+ vU_[85] = 0.207 * jac[236] + jac[237];
+ vU_[86] = vU_[11] * jac[236] + vU_[68] * jac[235] + vU_[41] * jac[234] + vU_[16] * jac[239] + vU_[42] * jac[238];
+ jac[249] = (0 - vU_[37] * jac[234] - vU_[12] * vU_[75] - vU_[19] * vU_[52] - vU_[18] * vU_[85] - vU_[47] * (vU_[45] * jac[236] + vU_[43] * jac[235] + vU_[157] * jac[234] + vU_[42] * jac[239] + vU_[0] * jac[238]) - vU_[38] * vU_[86]) / vU_[37];
+ vU_[22] = jac[234] + jac[249];
+ vU_[25] = vU_[189] * vU_[85] + vU_[139] * vU_[86] + vU_[142] * vU_[75];
+ vU_[86] = vU_[26] * vU_[85] + vU_[1] * vU_[86] + vU_[31] * vU_[75];
+ jac[250] = (0 - vU_[14] * vU_[75] - vU_[8] * (vU_[9] * vU_[22] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[22] + vU_[1] * vU_[52]) - vU_[23] * vU_[25] - vU_[21] * vU_[86]) / vU_[14];
+ vU_[75] = vU_[75] + jac[250];
+ jac[251] = (0 - 0.1104774 * (vU_[2] * vU_[25] + vU_[111] * vU_[86] + vU_[107] * vU_[75]) - 0.0004405 * (vU_[4] * vU_[25] + vU_[2] * vU_[86] + vU_[7] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[76] / vU_[66];
+ vU_[86] = vU_[73] / vU_[66];
+ vU_[25] = 2.1e-05 / vU_[66];
+ vU_[22] = -0.000102 / vU_[66];
+ vU_[52] = vU_[61] * vU_[25] + vU_[79] * vU_[22];
+ vU_[85] = 0 - vU_[52];
+ vU_[3] = vU_[36] * vU_[75] + vU_[88] * vU_[86] + -1 * vU_[66] / vU_[66] + (vU_[83] * vU_[85]) / vU_[95];
+ vU_[22] = vU_[80] * vU_[25] + vU_[61] * vU_[22] + (vU_[71] * vU_[85]) / vU_[95];
+ vU_[25] = vU_[61] * vU_[75] + vU_[79] * vU_[86] + (vU_[70] * vU_[85]) / vU_[95];
+ vU_[20] = (vU_[106] * vU_[85]) / vU_[95];
+ vU_[86] = vU_[94] * vU_[75] + vU_[61] * vU_[86] + (vU_[96] * vU_[85]) / vU_[95];
+ vU_[52] = (vU_[58] * vU_[20] + vU_[99] * vU_[86] + -1 * (vU_[52] + (vU_[95] * vU_[85]) / vU_[95])) / vU_[210];
+ vU_[75] = (vU_[24] * vU_[3] + vU_[102] * vU_[22] + vU_[103] * vU_[20] + vU_[165] * vU_[86] - vU_[216] * vU_[52]) / vU_[208];
+ vU_[22] = (vU_[101] * vU_[3] + vU_[24] * vU_[22] + 0.207 * vU_[25] + vU_[104] * vU_[20] + vU_[117] * vU_[86] - vU_[177] * vU_[75] - vU_[229] * vU_[52]) / vU_[183];
+ vU_[25] = (-1 * vU_[25] - vU_[192] * vU_[75] - vU_[32] * vU_[52] - vU_[205] * vU_[22]) / vU_[194];
+ vU_[3] = (vU_[212] * vU_[20] + vU_[48] * vU_[86] - vU_[232] * vU_[75] - vU_[209] * vU_[52] - vU_[233] * vU_[22] - vU_[90] * vU_[25]) / vU_[112];
+ vU_[86] = (vU_[101] * vU_[20] + vU_[34] * vU_[86] - vU_[213] * vU_[75] - vU_[193] * vU_[52] - vU_[226] * vU_[22] - vU_[236] * vU_[25] - vU_[98] * vU_[3]) / vU_[40];
+ jac[275] = - vU_[86];
+ vU_[3] = vU_[3] - vU_[169] * vU_[86];
+ jac[274] = - vU_[3];
+ vU_[25] = vU_[25] - vU_[230] * vU_[86] - vU_[171] * vU_[3];
+ jac[273] = - vU_[25];
+ vU_[22] = vU_[22] - vU_[59] * vU_[3] - vU_[149] * vU_[25] - vU_[199] * vU_[86];
+ jac[272] = - vU_[22];
+ vU_[75] = vU_[75] - vU_[113] * vU_[25] - vU_[186] * vU_[22] - vU_[176] * vU_[3] - vU_[137] * vU_[86];
+ jac[270] = vU_[128] * vU_[22] + vU_[238] * vU_[75] + vU_[54] * vU_[25] + vU_[237] * vU_[3] + vU_[120] * vU_[86] - vU_[52];
+ jac[271] = - vU_[75];
+ vU_[75] = -1 * jac[270];
+ vU_[22] = vU_[220] * jac[272] + vU_[141] * jac[271];
+ vU_[25] = vU_[141] * jac[272] + vU_[221] * jac[271];
+ vU_[3] = -1 * jac[273];
+ vU_[86] = 0.207 * jac[272] + vU_[3];
+ vU_[52] = vU_[33] * jac[272] + vU_[119] * jac[271] + vU_[218] * jac[270] + vU_[151] * jac[275] + vU_[217] * jac[274];
+ jac[276] = (0 - vU_[214] * vU_[75] - vU_[206] * vU_[22] - vU_[196] * vU_[25] - vU_[195] * vU_[86] - vU_[225] * (vU_[223] * jac[272] + vU_[222] * jac[271] + vU_[156] * jac[270] + vU_[220] * jac[275] + vU_[118] * jac[274]) - vU_[215] * vU_[52]) / vU_[214];
+ vU_[20] = -1 * vU_[22];
+ vU_[133] = vU_[75] + jac[276];
+ vU_[81] = vU_[178] * vU_[86] + vU_[15] * vU_[52] + vU_[28] * vU_[22];
+ vU_[52] = vU_[203] * vU_[86] + vU_[178] * vU_[52] + vU_[207] * vU_[22];
+ jac[277] = (0 - vU_[191] * vU_[20] - vU_[185] * (vU_[178] * vU_[133] + vU_[204] * vU_[25]) - vU_[190] * (vU_[203] * vU_[133] + vU_[178] * vU_[25]) - vU_[200] * vU_[81] - vU_[198] * vU_[52]) / vU_[191];
+ vU_[20] = vU_[20] + jac[277];
+ jac[278] = (0 - 0.1104774 * (vU_[179] * vU_[81] + vU_[170] * vU_[52] + vU_[91] * vU_[20]) - -0.0004405 * (vU_[181] * vU_[81] + vU_[179] * vU_[52] + vU_[184] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[159] * jac[272] + vU_[92] * jac[271];
+ vU_[52] = vU_[161] * jac[272] + vU_[159] * jac[271];
+ vU_[81] = 0.207 * jac[272] + jac[273];
+ vU_[133] = vU_[82] * jac[272] + vU_[152] * jac[271] + vU_[158] * jac[270] + vU_[93] * jac[275] + vU_[159] * jac[274];
+ jac[279] = (0 - vU_[154] * jac[270] - vU_[129] * vU_[20] - vU_[136] * vU_[52] - vU_[135] * vU_[81] - vU_[164] * (vU_[162] * jac[272] + vU_[160] * jac[271] + vU_[239] * jac[270] + vU_[159] * jac[275] + vU_[92] * jac[274]) - vU_[155] * vU_[133]) / vU_[154];
+ vU_[25] = jac[270] + jac[279];
+ vU_[86] = vU_[49] * vU_[81] + vU_[132] * vU_[133] + vU_[175] * vU_[20];
+ vU_[133] = vU_[143] * vU_[81] + vU_[77] * vU_[133] + vU_[148] * vU_[20];
+ jac[280] = (0 - vU_[131] * vU_[20] - vU_[125] * (vU_[126] * vU_[25] + vU_[144] * vU_[52]) - vU_[130] * (vU_[144] * vU_[25] + vU_[77] * vU_[52]) - vU_[140] * vU_[86] - vU_[138] * vU_[133]) / vU_[131];
+ vU_[20] = vU_[20] + jac[280];
+ jac[281] = (0 - 0.1104774 * (vU_[78] * vU_[86] + vU_[166] * vU_[133] + vU_[97] * vU_[20]) - -0.0004405 * (vU_[121] * vU_[86] + vU_[78] * vU_[133] + vU_[124] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[101] * jac[272] + vU_[24] * jac[271];
+ vU_[133] = vU_[24] * jac[272] + vU_[102] * jac[271];
+ vU_[3] = 0.207 * jac[272] + vU_[3];
+ vU_[86] = vU_[117] * jac[272] + vU_[165] * jac[271] + vU_[99] * jac[270] + vU_[34] * jac[275] + vU_[48] * jac[274];
+ jac[282] = (vU_[85] - vU_[95] * vU_[75] - vU_[83] * vU_[20] - vU_[71] * vU_[133] - vU_[70] * vU_[3] - vU_[106] * (vU_[104] * jac[272] + vU_[103] * jac[271] + vU_[58] * jac[270] + vU_[101] * jac[275] + vU_[212] * jac[274]) - vU_[96] * vU_[86]) / vU_[95];
+ vU_[85] = -1 * vU_[20];
+ vU_[75] = vU_[75] + jac[282];
+ vU_[25] = vU_[61] * vU_[3] + vU_[94] * vU_[86] + vU_[36] * vU_[20];
+ vU_[86] = vU_[79] * vU_[3] + vU_[61] * vU_[86] + vU_[88] * vU_[20];
+ jac[283] = (1 - vU_[66] * vU_[85] - 2.1e-05 * (vU_[61] * vU_[75] + vU_[80] * vU_[133]) - -0.000102 * (vU_[79] * vU_[75] + vU_[61] * vU_[133]) - vU_[76] * vU_[25] - vU_[73] * vU_[86]) / vU_[66];
+ vU_[85] = vU_[85] + jac[283];
+ jac[284] = (0 - 0.110125 * (vU_[64] * vU_[25] + vU_[147] * vU_[86] + vU_[35] * vU_[85]) - 0.000881 * (vU_[62] * vU_[25] + vU_[64] * vU_[86] + vU_[63] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = vU_[42] * jac[272] + vU_[0] * jac[271];
+ vU_[86] = vU_[44] * jac[272] + vU_[42] * jac[271];
+ vU_[25] = 0.207 * jac[272] + jac[273];
+ vU_[75] = vU_[11] * jac[272] + vU_[68] * jac[271] + vU_[41] * jac[270] + vU_[16] * jac[275] + vU_[42] * jac[274];
+ jac[285] = (0 - vU_[37] * jac[270] - vU_[12] * vU_[85] - vU_[19] * vU_[86] - vU_[18] * vU_[25] - vU_[47] * (vU_[45] * jac[272] + vU_[43] * jac[271] + vU_[157] * jac[270] + vU_[42] * jac[275] + vU_[0] * jac[274]) - vU_[38] * vU_[75]) / vU_[37];
+ vU_[133] = jac[270] + jac[285];
+ vU_[3] = vU_[189] * vU_[25] + vU_[139] * vU_[75] + vU_[142] * vU_[85];
+ vU_[75] = vU_[26] * vU_[25] + vU_[1] * vU_[75] + vU_[31] * vU_[85];
+ jac[286] = (0 - vU_[14] * vU_[85] - vU_[8] * (vU_[9] * vU_[133] + vU_[27] * vU_[86]) - vU_[13] * (vU_[27] * vU_[133] + vU_[1] * vU_[86]) - vU_[23] * vU_[3] - vU_[21] * vU_[75]) / vU_[14];
+ vU_[85] = vU_[85] + jac[286];
+ jac[287] = (0 - 0.1104774 * (vU_[2] * vU_[3] + vU_[111] * vU_[75] + vU_[107] * vU_[85]) - 0.0004405 * (vU_[4] * vU_[3] + vU_[2] * vU_[75] + vU_[7] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = 1 + vU_[35] * 4.20629464115198 + vU_[63] * 0.0336503571292158;
+ vU_[75] = 0 - vU_[85];
+ vU_[3] = vU_[64] * 4.20629464115198 + vU_[62] * 0.0336503571292158 + (vU_[76] * vU_[75]) / vU_[66];
+ vU_[133] = vU_[147] * 4.20629464115198 + vU_[64] * 0.0336503571292158 + (vU_[73] * vU_[75]) / vU_[66];
+ vU_[86] = (2.1e-05 * vU_[75]) / vU_[66];
+ vU_[25] = (-0.000102 * vU_[75]) / vU_[66];
+ vU_[20] = vU_[61] * vU_[86] + vU_[79] * vU_[25];
+ vU_[52] = 0 - vU_[20];
+ vU_[85] = vU_[36] * vU_[3] + vU_[88] * vU_[133] + -1 * (vU_[85] + (vU_[66] * vU_[75]) / vU_[66]) + (vU_[83] * vU_[52]) / vU_[95];
+ vU_[25] = vU_[80] * vU_[86] + vU_[61] * vU_[25] + (vU_[71] * vU_[52]) / vU_[95];
+ vU_[86] = vU_[61] * vU_[3] + vU_[79] * vU_[133] + (vU_[70] * vU_[52]) / vU_[95];
+ vU_[81] = (vU_[106] * vU_[52]) / vU_[95];
+ vU_[133] = vU_[94] * vU_[3] + vU_[61] * vU_[133] + (vU_[96] * vU_[52]) / vU_[95];
+ vU_[20] = (vU_[58] * vU_[81] + vU_[99] * vU_[133] + -1 * (vU_[20] + (vU_[95] * vU_[52]) / vU_[95])) / vU_[210];
+ vU_[3] = (vU_[24] * vU_[85] + vU_[102] * vU_[25] + vU_[103] * vU_[81] + vU_[165] * vU_[133] - vU_[216] * vU_[20]) / vU_[208];
+ vU_[25] = (vU_[101] * vU_[85] + vU_[24] * vU_[25] + 0.207 * vU_[86] + vU_[104] * vU_[81] + vU_[117] * vU_[133] - vU_[177] * vU_[3] - vU_[229] * vU_[20]) / vU_[183];
+ vU_[86] = (-1 * vU_[86] - vU_[192] * vU_[3] - vU_[32] * vU_[20] - vU_[205] * vU_[25]) / vU_[194];
+ vU_[85] = (vU_[212] * vU_[81] + vU_[48] * vU_[133] - vU_[232] * vU_[3] - vU_[209] * vU_[20] - vU_[233] * vU_[25] - vU_[90] * vU_[86]) / vU_[112];
+ vU_[133] = (vU_[101] * vU_[81] + vU_[34] * vU_[133] - vU_[213] * vU_[3] - vU_[193] * vU_[20] - vU_[226] * vU_[25] - vU_[236] * vU_[86] - vU_[98] * vU_[85]) / vU_[40];
+ jac[311] = - vU_[133];
+ vU_[85] = vU_[85] - vU_[169] * vU_[133];
+ jac[310] = - vU_[85];
+ vU_[86] = vU_[86] - vU_[230] * vU_[133] - vU_[171] * vU_[85];
+ jac[309] = - vU_[86];
+ vU_[25] = vU_[25] - vU_[59] * vU_[85] - vU_[149] * vU_[86] - vU_[199] * vU_[133];
+ jac[308] = - vU_[25];
+ vU_[3] = vU_[3] - vU_[113] * vU_[86] - vU_[186] * vU_[25] - vU_[176] * vU_[85] - vU_[137] * vU_[133];
+ jac[306] = vU_[128] * vU_[25] + vU_[238] * vU_[3] + vU_[54] * vU_[86] + vU_[237] * vU_[85] + vU_[120] * vU_[133] - vU_[20];
+ jac[307] = - vU_[3];
+ vU_[3] = -1 * jac[306];
+ vU_[25] = vU_[220] * jac[308] + vU_[141] * jac[307];
+ vU_[86] = vU_[141] * jac[308] + vU_[221] * jac[307];
+ vU_[85] = -1 * jac[309];
+ vU_[133] = 0.207 * jac[308] + vU_[85];
+ vU_[20] = vU_[33] * jac[308] + vU_[119] * jac[307] + vU_[218] * jac[306] + vU_[151] * jac[311] + vU_[217] * jac[310];
+ jac[312] = (0 - vU_[214] * vU_[3] - vU_[206] * vU_[25] - vU_[196] * vU_[86] - vU_[195] * vU_[133] - vU_[225] * (vU_[223] * jac[308] + vU_[222] * jac[307] + vU_[156] * jac[306] + vU_[220] * jac[311] + vU_[118] * jac[310]) - vU_[215] * vU_[20]) / vU_[214];
+ vU_[81] = -1 * vU_[25];
+ vU_[22] = vU_[3] + jac[312];
+ vU_[153] = vU_[178] * vU_[133] + vU_[15] * vU_[20] + vU_[28] * vU_[25];
+ vU_[20] = vU_[203] * vU_[133] + vU_[178] * vU_[20] + vU_[207] * vU_[25];
+ jac[313] = (0 - vU_[191] * vU_[81] - vU_[185] * (vU_[178] * vU_[22] + vU_[204] * vU_[86]) - vU_[190] * (vU_[203] * vU_[22] + vU_[178] * vU_[86]) - vU_[200] * vU_[153] - vU_[198] * vU_[20]) / vU_[191];
+ vU_[81] = vU_[81] + jac[313];
+ jac[314] = (0 - 0.1104774 * (vU_[179] * vU_[153] + vU_[170] * vU_[20] + vU_[91] * vU_[81]) - -0.0004405 * (vU_[181] * vU_[153] + vU_[179] * vU_[20] + vU_[184] * vU_[81]) - 0.026181 * vU_[81]) / 0.026181;
+ vU_[81] = vU_[159] * jac[308] + vU_[92] * jac[307];
+ vU_[20] = vU_[161] * jac[308] + vU_[159] * jac[307];
+ vU_[153] = 0.207 * jac[308] + jac[309];
+ vU_[22] = vU_[82] * jac[308] + vU_[152] * jac[307] + vU_[158] * jac[306] + vU_[93] * jac[311] + vU_[159] * jac[310];
+ jac[315] = (0 - vU_[154] * jac[306] - vU_[129] * vU_[81] - vU_[136] * vU_[20] - vU_[135] * vU_[153] - vU_[164] * (vU_[162] * jac[308] + vU_[160] * jac[307] + vU_[239] * jac[306] + vU_[159] * jac[311] + vU_[92] * jac[310]) - vU_[155] * vU_[22]) / vU_[154];
+ vU_[86] = jac[306] + jac[315];
+ vU_[133] = vU_[49] * vU_[153] + vU_[132] * vU_[22] + vU_[175] * vU_[81];
+ vU_[22] = vU_[143] * vU_[153] + vU_[77] * vU_[22] + vU_[148] * vU_[81];
+ jac[316] = (0 - vU_[131] * vU_[81] - vU_[125] * (vU_[126] * vU_[86] + vU_[144] * vU_[20]) - vU_[130] * (vU_[144] * vU_[86] + vU_[77] * vU_[20]) - vU_[140] * vU_[133] - vU_[138] * vU_[22]) / vU_[131];
+ vU_[81] = vU_[81] + jac[316];
+ jac[317] = (0 - 0.1104774 * (vU_[78] * vU_[133] + vU_[166] * vU_[22] + vU_[97] * vU_[81]) - -0.0004405 * (vU_[121] * vU_[133] + vU_[78] * vU_[22] + vU_[124] * vU_[81]) - 0.026181 * vU_[81]) / 0.026181;
+ vU_[81] = vU_[101] * jac[308] + vU_[24] * jac[307];
+ vU_[22] = vU_[24] * jac[308] + vU_[102] * jac[307];
+ vU_[85] = 0.207 * jac[308] + vU_[85];
+ vU_[133] = vU_[117] * jac[308] + vU_[165] * jac[307] + vU_[99] * jac[306] + vU_[34] * jac[311] + vU_[48] * jac[310];
+ jac[318] = (vU_[52] - vU_[95] * vU_[3] - vU_[83] * vU_[81] - vU_[71] * vU_[22] - vU_[70] * vU_[85] - vU_[106] * (vU_[104] * jac[308] + vU_[103] * jac[307] + vU_[58] * jac[306] + vU_[101] * jac[311] + vU_[212] * jac[310]) - vU_[96] * vU_[133]) / vU_[95];
+ vU_[52] = -1 * vU_[81];
+ vU_[3] = vU_[3] + jac[318];
+ vU_[86] = vU_[61] * vU_[85] + vU_[94] * vU_[133] + vU_[36] * vU_[81];
+ vU_[133] = vU_[79] * vU_[85] + vU_[61] * vU_[133] + vU_[88] * vU_[81];
+ jac[319] = (vU_[75] - vU_[66] * vU_[52] - 2.1e-05 * (vU_[61] * vU_[3] + vU_[80] * vU_[22]) - -0.000102 * (vU_[79] * vU_[3] + vU_[61] * vU_[22]) - vU_[76] * vU_[86] - vU_[73] * vU_[133]) / vU_[66];
+ vU_[52] = vU_[52] + jac[319];
+ jac[320] = (1 - 0.110125 * (vU_[64] * vU_[86] + vU_[147] * vU_[133] + vU_[35] * vU_[52]) - 0.000881 * (vU_[62] * vU_[86] + vU_[64] * vU_[133] + vU_[63] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[42] * jac[308] + vU_[0] * jac[307];
+ vU_[133] = vU_[44] * jac[308] + vU_[42] * jac[307];
+ vU_[86] = 0.207 * jac[308] + jac[309];
+ vU_[3] = vU_[11] * jac[308] + vU_[68] * jac[307] + vU_[41] * jac[306] + vU_[16] * jac[311] + vU_[42] * jac[310];
+ jac[321] = (0 - vU_[37] * jac[306] - vU_[12] * vU_[52] - vU_[19] * vU_[133] - vU_[18] * vU_[86] - vU_[47] * (vU_[45] * jac[308] + vU_[43] * jac[307] + vU_[157] * jac[306] + vU_[42] * jac[311] + vU_[0] * jac[310]) - vU_[38] * vU_[3]) / vU_[37];
+ vU_[22] = jac[306] + jac[321];
+ vU_[75] = vU_[189] * vU_[86] + vU_[139] * vU_[3] + vU_[142] * vU_[52];
+ vU_[3] = vU_[26] * vU_[86] + vU_[1] * vU_[3] + vU_[31] * vU_[52];
+ jac[322] = (0 - vU_[14] * vU_[52] - vU_[8] * (vU_[9] * vU_[22] + vU_[27] * vU_[133]) - vU_[13] * (vU_[27] * vU_[22] + vU_[1] * vU_[133]) - vU_[23] * vU_[75] - vU_[21] * vU_[3]) / vU_[14];
+ vU_[52] = vU_[52] + jac[322];
+ jac[323] = (0 - 0.1104774 * (vU_[2] * vU_[75] + vU_[111] * vU_[3] + vU_[107] * vU_[52]) - 0.0004405 * (vU_[4] * vU_[75] + vU_[2] * vU_[3] + vU_[7] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[12] / vU_[37];
+ vU_[3] = vU_[19] / vU_[37];
+ vU_[75] = vU_[18] / vU_[37];
+ vU_[22] = vU_[47] / vU_[37];
+ vU_[133] = vU_[38] / vU_[37];
+ vU_[86] = (vU_[37] / vU_[37] + vU_[157] * vU_[22] + vU_[41] * vU_[133]) / vU_[210];
+ vU_[85] = (vU_[0] * vU_[52] + vU_[42] * vU_[3] + vU_[43] * vU_[22] + vU_[68] * vU_[133] - vU_[216] * vU_[86]) / vU_[208];
+ vU_[3] = (vU_[42] * vU_[52] + vU_[44] * vU_[3] + 0.207 * vU_[75] + vU_[45] * vU_[22] + vU_[11] * vU_[133] - vU_[177] * vU_[85] - vU_[229] * vU_[86]) / vU_[183];
+ vU_[75] = (vU_[75] - vU_[192] * vU_[85] - vU_[32] * vU_[86] - vU_[205] * vU_[3]) / vU_[194];
+ vU_[52] = (vU_[0] * vU_[22] + vU_[42] * vU_[133] - vU_[232] * vU_[85] - vU_[209] * vU_[86] - vU_[233] * vU_[3] - vU_[90] * vU_[75]) / vU_[112];
+ vU_[133] = (vU_[42] * vU_[22] + vU_[16] * vU_[133] - vU_[213] * vU_[85] - vU_[193] * vU_[86] - vU_[226] * vU_[3] - vU_[236] * vU_[75] - vU_[98] * vU_[52]) / vU_[40];
+ jac[347] = - vU_[133];
+ vU_[52] = vU_[52] - vU_[169] * vU_[133];
+ jac[346] = - vU_[52];
+ vU_[75] = vU_[75] - vU_[230] * vU_[133] - vU_[171] * vU_[52];
+ jac[345] = - vU_[75];
+ vU_[3] = vU_[3] - vU_[59] * vU_[52] - vU_[149] * vU_[75] - vU_[199] * vU_[133];
+ jac[344] = - vU_[3];
+ vU_[85] = vU_[85] - vU_[113] * vU_[75] - vU_[186] * vU_[3] - vU_[176] * vU_[52] - vU_[137] * vU_[133];
+ jac[342] = vU_[128] * vU_[3] + vU_[238] * vU_[85] + vU_[54] * vU_[75] + vU_[237] * vU_[52] + vU_[120] * vU_[133] - vU_[86];
+ jac[343] = - vU_[85];
+ vU_[85] = -1 * jac[342];
+ vU_[3] = vU_[220] * jac[344] + vU_[141] * jac[343];
+ vU_[75] = vU_[141] * jac[344] + vU_[221] * jac[343];
+ vU_[52] = -1 * jac[345];
+ vU_[133] = 0.207 * jac[344] + vU_[52];
+ vU_[86] = vU_[33] * jac[344] + vU_[119] * jac[343] + vU_[218] * jac[342] + vU_[151] * jac[347] + vU_[217] * jac[346];
+ jac[348] = (0 - vU_[214] * vU_[85] - vU_[206] * vU_[3] - vU_[196] * vU_[75] - vU_[195] * vU_[133] - vU_[225] * (vU_[223] * jac[344] + vU_[222] * jac[343] + vU_[156] * jac[342] + vU_[220] * jac[347] + vU_[118] * jac[346]) - vU_[215] * vU_[86]) / vU_[214];
+ vU_[22] = -1 * vU_[3];
+ vU_[81] = vU_[85] + jac[348];
+ vU_[20] = vU_[178] * vU_[133] + vU_[15] * vU_[86] + vU_[28] * vU_[3];
+ vU_[86] = vU_[203] * vU_[133] + vU_[178] * vU_[86] + vU_[207] * vU_[3];
+ jac[349] = (0 - vU_[191] * vU_[22] - vU_[185] * (vU_[178] * vU_[81] + vU_[204] * vU_[75]) - vU_[190] * (vU_[203] * vU_[81] + vU_[178] * vU_[75]) - vU_[200] * vU_[20] - vU_[198] * vU_[86]) / vU_[191];
+ vU_[22] = vU_[22] + jac[349];
+ jac[350] = (0 - 0.1104774 * (vU_[179] * vU_[20] + vU_[170] * vU_[86] + vU_[91] * vU_[22]) - -0.0004405 * (vU_[181] * vU_[20] + vU_[179] * vU_[86] + vU_[184] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[159] * jac[344] + vU_[92] * jac[343];
+ vU_[86] = vU_[161] * jac[344] + vU_[159] * jac[343];
+ vU_[20] = 0.207 * jac[344] + jac[345];
+ vU_[81] = vU_[82] * jac[344] + vU_[152] * jac[343] + vU_[158] * jac[342] + vU_[93] * jac[347] + vU_[159] * jac[346];
+ jac[351] = (0 - vU_[154] * jac[342] - vU_[129] * vU_[22] - vU_[136] * vU_[86] - vU_[135] * vU_[20] - vU_[164] * (vU_[162] * jac[344] + vU_[160] * jac[343] + vU_[239] * jac[342] + vU_[159] * jac[347] + vU_[92] * jac[346]) - vU_[155] * vU_[81]) / vU_[154];
+ vU_[75] = jac[342] + jac[351];
+ vU_[133] = vU_[49] * vU_[20] + vU_[132] * vU_[81] + vU_[175] * vU_[22];
+ vU_[81] = vU_[143] * vU_[20] + vU_[77] * vU_[81] + vU_[148] * vU_[22];
+ jac[352] = (0 - vU_[131] * vU_[22] - vU_[125] * (vU_[126] * vU_[75] + vU_[144] * vU_[86]) - vU_[130] * (vU_[144] * vU_[75] + vU_[77] * vU_[86]) - vU_[140] * vU_[133] - vU_[138] * vU_[81]) / vU_[131];
+ vU_[22] = vU_[22] + jac[352];
+ jac[353] = (0 - 0.1104774 * (vU_[78] * vU_[133] + vU_[166] * vU_[81] + vU_[97] * vU_[22]) - -0.0004405 * (vU_[121] * vU_[133] + vU_[78] * vU_[81] + vU_[124] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[101] * jac[344] + vU_[24] * jac[343];
+ vU_[81] = vU_[24] * jac[344] + vU_[102] * jac[343];
+ vU_[52] = 0.207 * jac[344] + vU_[52];
+ vU_[133] = vU_[117] * jac[344] + vU_[165] * jac[343] + vU_[99] * jac[342] + vU_[34] * jac[347] + vU_[48] * jac[346];
+ jac[354] = (0 - vU_[95] * vU_[85] - vU_[83] * vU_[22] - vU_[71] * vU_[81] - vU_[70] * vU_[52] - vU_[106] * (vU_[104] * jac[344] + vU_[103] * jac[343] + vU_[58] * jac[342] + vU_[101] * jac[347] + vU_[212] * jac[346]) - vU_[96] * vU_[133]) / vU_[95];
+ vU_[75] = -1 * vU_[22];
+ vU_[85] = vU_[85] + jac[354];
+ vU_[86] = vU_[61] * vU_[52] + vU_[94] * vU_[133] + vU_[36] * vU_[22];
+ vU_[133] = vU_[79] * vU_[52] + vU_[61] * vU_[133] + vU_[88] * vU_[22];
+ jac[355] = (0 - vU_[66] * vU_[75] - 2.1e-05 * (vU_[61] * vU_[85] + vU_[80] * vU_[81]) - -0.000102 * (vU_[79] * vU_[85] + vU_[61] * vU_[81]) - vU_[76] * vU_[86] - vU_[73] * vU_[133]) / vU_[66];
+ vU_[75] = vU_[75] + jac[355];
+ jac[356] = (0 - 0.110125 * (vU_[64] * vU_[86] + vU_[147] * vU_[133] + vU_[35] * vU_[75]) - 0.000881 * (vU_[62] * vU_[86] + vU_[64] * vU_[133] + vU_[63] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[42] * jac[344] + vU_[0] * jac[343];
+ vU_[133] = vU_[44] * jac[344] + vU_[42] * jac[343];
+ vU_[86] = 0.207 * jac[344] + jac[345];
+ vU_[85] = vU_[11] * jac[344] + vU_[68] * jac[343] + vU_[41] * jac[342] + vU_[16] * jac[347] + vU_[42] * jac[346];
+ jac[357] = (1 - vU_[37] * jac[342] - vU_[12] * vU_[75] - vU_[19] * vU_[133] - vU_[18] * vU_[86] - vU_[47] * (vU_[45] * jac[344] + vU_[43] * jac[343] + vU_[157] * jac[342] + vU_[42] * jac[347] + vU_[0] * jac[346]) - vU_[38] * vU_[85]) / vU_[37];
+ vU_[81] = jac[342] + jac[357];
+ vU_[52] = vU_[189] * vU_[86] + vU_[139] * vU_[85] + vU_[142] * vU_[75];
+ vU_[85] = vU_[26] * vU_[86] + vU_[1] * vU_[85] + vU_[31] * vU_[75];
+ jac[358] = (0 - vU_[14] * vU_[75] - vU_[8] * (vU_[9] * vU_[81] + vU_[27] * vU_[133]) - vU_[13] * (vU_[27] * vU_[81] + vU_[1] * vU_[133]) - vU_[23] * vU_[52] - vU_[21] * vU_[85]) / vU_[14];
+ vU_[75] = vU_[75] + jac[358];
+ jac[359] = (0 - 0.1104774 * (vU_[2] * vU_[52] + vU_[111] * vU_[85] + vU_[107] * vU_[75]) - 0.0004405 * (vU_[4] * vU_[52] + vU_[2] * vU_[85] + vU_[7] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[23] / vU_[14];
+ vU_[85] = vU_[21] / vU_[14];
+ vU_[52] = vU_[8] / vU_[14];
+ vU_[81] = vU_[13] / vU_[14];
+ vU_[133] = vU_[9] * vU_[52] + vU_[27] * vU_[81];
+ vU_[86] = 0 - vU_[133];
+ vU_[22] = vU_[14] / vU_[14] + vU_[142] * vU_[75] + vU_[31] * vU_[85] + (vU_[12] * vU_[86]) / vU_[37];
+ vU_[81] = vU_[27] * vU_[52] + vU_[1] * vU_[81] + (vU_[19] * vU_[86]) / vU_[37];
+ vU_[52] = vU_[189] * vU_[75] + vU_[26] * vU_[85] + (vU_[18] * vU_[86]) / vU_[37];
+ vU_[20] = (vU_[47] * vU_[86]) / vU_[37];
+ vU_[85] = vU_[139] * vU_[75] + vU_[1] * vU_[85] + (vU_[38] * vU_[86]) / vU_[37];
+ vU_[133] = ((vU_[37] * vU_[86]) / vU_[37] + vU_[133] + vU_[157] * vU_[20] + vU_[41] * vU_[85]) / vU_[210];
+ vU_[75] = (vU_[0] * vU_[22] + vU_[42] * vU_[81] + vU_[43] * vU_[20] + vU_[68] * vU_[85] - vU_[216] * vU_[133]) / vU_[208];
+ vU_[81] = (vU_[42] * vU_[22] + vU_[44] * vU_[81] + 0.207 * vU_[52] + vU_[45] * vU_[20] + vU_[11] * vU_[85] - vU_[177] * vU_[75] - vU_[229] * vU_[133]) / vU_[183];
+ vU_[52] = (vU_[52] - vU_[192] * vU_[75] - vU_[32] * vU_[133] - vU_[205] * vU_[81]) / vU_[194];
+ vU_[22] = (vU_[0] * vU_[20] + vU_[42] * vU_[85] - vU_[232] * vU_[75] - vU_[209] * vU_[133] - vU_[233] * vU_[81] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[85] = (vU_[42] * vU_[20] + vU_[16] * vU_[85] - vU_[213] * vU_[75] - vU_[193] * vU_[133] - vU_[226] * vU_[81] - vU_[236] * vU_[52] - vU_[98] * vU_[22]) / vU_[40];
+ jac[383] = - vU_[85];
+ vU_[22] = vU_[22] - vU_[169] * vU_[85];
+ jac[382] = - vU_[22];
+ vU_[52] = vU_[52] - vU_[230] * vU_[85] - vU_[171] * vU_[22];
+ jac[381] = - vU_[52];
+ vU_[81] = vU_[81] - vU_[59] * vU_[22] - vU_[149] * vU_[52] - vU_[199] * vU_[85];
+ jac[380] = - vU_[81];
+ vU_[75] = vU_[75] - vU_[113] * vU_[52] - vU_[186] * vU_[81] - vU_[176] * vU_[22] - vU_[137] * vU_[85];
+ jac[378] = vU_[128] * vU_[81] + vU_[238] * vU_[75] + vU_[54] * vU_[52] + vU_[237] * vU_[22] + vU_[120] * vU_[85] - vU_[133];
+ jac[379] = - vU_[75];
+ vU_[75] = -1 * jac[378];
+ vU_[81] = vU_[220] * jac[380] + vU_[141] * jac[379];
+ vU_[52] = vU_[141] * jac[380] + vU_[221] * jac[379];
+ vU_[22] = -1 * jac[381];
+ vU_[85] = 0.207 * jac[380] + vU_[22];
+ vU_[133] = vU_[33] * jac[380] + vU_[119] * jac[379] + vU_[218] * jac[378] + vU_[151] * jac[383] + vU_[217] * jac[382];
+ jac[384] = (0 - vU_[214] * vU_[75] - vU_[206] * vU_[81] - vU_[196] * vU_[52] - vU_[195] * vU_[85] - vU_[225] * (vU_[223] * jac[380] + vU_[222] * jac[379] + vU_[156] * jac[378] + vU_[220] * jac[383] + vU_[118] * jac[382]) - vU_[215] * vU_[133]) / vU_[214];
+ vU_[20] = -1 * vU_[81];
+ vU_[3] = vU_[75] + jac[384];
+ vU_[153] = vU_[178] * vU_[85] + vU_[15] * vU_[133] + vU_[28] * vU_[81];
+ vU_[133] = vU_[203] * vU_[85] + vU_[178] * vU_[133] + vU_[207] * vU_[81];
+ jac[385] = (0 - vU_[191] * vU_[20] - vU_[185] * (vU_[178] * vU_[3] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[3] + vU_[178] * vU_[52]) - vU_[200] * vU_[153] - vU_[198] * vU_[133]) / vU_[191];
+ vU_[20] = vU_[20] + jac[385];
+ jac[386] = (0 - 0.1104774 * (vU_[179] * vU_[153] + vU_[170] * vU_[133] + vU_[91] * vU_[20]) - -0.0004405 * (vU_[181] * vU_[153] + vU_[179] * vU_[133] + vU_[184] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[159] * jac[380] + vU_[92] * jac[379];
+ vU_[133] = vU_[161] * jac[380] + vU_[159] * jac[379];
+ vU_[153] = 0.207 * jac[380] + jac[381];
+ vU_[3] = vU_[82] * jac[380] + vU_[152] * jac[379] + vU_[158] * jac[378] + vU_[93] * jac[383] + vU_[159] * jac[382];
+ jac[387] = (0 - vU_[154] * jac[378] - vU_[129] * vU_[20] - vU_[136] * vU_[133] - vU_[135] * vU_[153] - vU_[164] * (vU_[162] * jac[380] + vU_[160] * jac[379] + vU_[239] * jac[378] + vU_[159] * jac[383] + vU_[92] * jac[382]) - vU_[155] * vU_[3]) / vU_[154];
+ vU_[52] = jac[378] + jac[387];
+ vU_[85] = vU_[49] * vU_[153] + vU_[132] * vU_[3] + vU_[175] * vU_[20];
+ vU_[3] = vU_[143] * vU_[153] + vU_[77] * vU_[3] + vU_[148] * vU_[20];
+ jac[388] = (0 - vU_[131] * vU_[20] - vU_[125] * (vU_[126] * vU_[52] + vU_[144] * vU_[133]) - vU_[130] * (vU_[144] * vU_[52] + vU_[77] * vU_[133]) - vU_[140] * vU_[85] - vU_[138] * vU_[3]) / vU_[131];
+ vU_[20] = vU_[20] + jac[388];
+ jac[389] = (0 - 0.1104774 * (vU_[78] * vU_[85] + vU_[166] * vU_[3] + vU_[97] * vU_[20]) - -0.0004405 * (vU_[121] * vU_[85] + vU_[78] * vU_[3] + vU_[124] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[101] * jac[380] + vU_[24] * jac[379];
+ vU_[3] = vU_[24] * jac[380] + vU_[102] * jac[379];
+ vU_[22] = 0.207 * jac[380] + vU_[22];
+ vU_[85] = vU_[117] * jac[380] + vU_[165] * jac[379] + vU_[99] * jac[378] + vU_[34] * jac[383] + vU_[48] * jac[382];
+ jac[390] = (0 - vU_[95] * vU_[75] - vU_[83] * vU_[20] - vU_[71] * vU_[3] - vU_[70] * vU_[22] - vU_[106] * (vU_[104] * jac[380] + vU_[103] * jac[379] + vU_[58] * jac[378] + vU_[101] * jac[383] + vU_[212] * jac[382]) - vU_[96] * vU_[85]) / vU_[95];
+ vU_[52] = -1 * vU_[20];
+ vU_[75] = vU_[75] + jac[390];
+ vU_[133] = vU_[61] * vU_[22] + vU_[94] * vU_[85] + vU_[36] * vU_[20];
+ vU_[85] = vU_[79] * vU_[22] + vU_[61] * vU_[85] + vU_[88] * vU_[20];
+ jac[391] = (0 - vU_[66] * vU_[52] - 2.1e-05 * (vU_[61] * vU_[75] + vU_[80] * vU_[3]) - -0.000102 * (vU_[79] * vU_[75] + vU_[61] * vU_[3]) - vU_[76] * vU_[133] - vU_[73] * vU_[85]) / vU_[66];
+ vU_[52] = vU_[52] + jac[391];
+ jac[392] = (0 - 0.110125 * (vU_[64] * vU_[133] + vU_[147] * vU_[85] + vU_[35] * vU_[52]) - 0.000881 * (vU_[62] * vU_[133] + vU_[64] * vU_[85] + vU_[63] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[42] * jac[380] + vU_[0] * jac[379];
+ vU_[85] = vU_[44] * jac[380] + vU_[42] * jac[379];
+ vU_[133] = 0.207 * jac[380] + jac[381];
+ vU_[75] = vU_[11] * jac[380] + vU_[68] * jac[379] + vU_[41] * jac[378] + vU_[16] * jac[383] + vU_[42] * jac[382];
+ jac[393] = (vU_[86] - vU_[37] * jac[378] - vU_[12] * vU_[52] - vU_[19] * vU_[85] - vU_[18] * vU_[133] - vU_[47] * (vU_[45] * jac[380] + vU_[43] * jac[379] + vU_[157] * jac[378] + vU_[42] * jac[383] + vU_[0] * jac[382]) - vU_[38] * vU_[75]) / vU_[37];
+ vU_[86] = jac[378] + jac[393];
+ vU_[3] = vU_[189] * vU_[133] + vU_[139] * vU_[75] + vU_[142] * vU_[52];
+ vU_[75] = vU_[26] * vU_[133] + vU_[1] * vU_[75] + vU_[31] * vU_[52];
+ jac[394] = (1 - vU_[14] * vU_[52] - vU_[8] * (vU_[9] * vU_[86] + vU_[27] * vU_[85]) - vU_[13] * (vU_[27] * vU_[86] + vU_[1] * vU_[85]) - vU_[23] * vU_[3] - vU_[21] * vU_[75]) / vU_[14];
+ vU_[52] = vU_[52] + jac[394];
+ jac[395] = (0 - 0.1104774 * (vU_[2] * vU_[3] + vU_[111] * vU_[75] + vU_[107] * vU_[52]) - 0.0004405 * (vU_[4] * vU_[3] + vU_[2] * vU_[75] + vU_[7] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = 1 + vU_[107] * 4.21975478400367 + vU_[7] * 0.0168251785646079;
+ vU_[75] = 0 - vU_[52];
+ vU_[3] = vU_[2] * 4.21975478400367 + vU_[4] * 0.0168251785646079 + (vU_[23] * vU_[75]) / vU_[14];
+ vU_[86] = vU_[111] * 4.21975478400367 + vU_[2] * 0.0168251785646079 + (vU_[21] * vU_[75]) / vU_[14];
+ vU_[85] = (vU_[8] * vU_[75]) / vU_[14];
+ vU_[133] = (vU_[13] * vU_[75]) / vU_[14];
+ vU_[22] = vU_[9] * vU_[85] + vU_[27] * vU_[133];
+ vU_[20] = 0 - vU_[22];
+ vU_[52] = (vU_[14] * vU_[75]) / vU_[14] + vU_[52] + vU_[142] * vU_[3] + vU_[31] * vU_[86] + (vU_[12] * vU_[20]) / vU_[37];
+ vU_[133] = vU_[27] * vU_[85] + vU_[1] * vU_[133] + (vU_[19] * vU_[20]) / vU_[37];
+ vU_[85] = vU_[189] * vU_[3] + vU_[26] * vU_[86] + (vU_[18] * vU_[20]) / vU_[37];
+ vU_[153] = (vU_[47] * vU_[20]) / vU_[37];
+ vU_[86] = vU_[139] * vU_[3] + vU_[1] * vU_[86] + (vU_[38] * vU_[20]) / vU_[37];
+ vU_[22] = ((vU_[37] * vU_[20]) / vU_[37] + vU_[22] + vU_[157] * vU_[153] + vU_[41] * vU_[86]) / vU_[210];
+ vU_[208] = (vU_[0] * vU_[52] + vU_[42] * vU_[133] + vU_[43] * vU_[153] + vU_[68] * vU_[86] - vU_[216] * vU_[22]) / vU_[208];
+ vU_[133] = (vU_[42] * vU_[52] + vU_[44] * vU_[133] + 0.207 * vU_[85] + vU_[45] * vU_[153] + vU_[11] * vU_[86] - vU_[177] * vU_[208] - vU_[229] * vU_[22]) / vU_[183];
+ vU_[85] = (vU_[85] - vU_[192] * vU_[208] - vU_[32] * vU_[22] - vU_[205] * vU_[133]) / vU_[194];
+ vU_[112] = (vU_[0] * vU_[153] + vU_[42] * vU_[86] - vU_[232] * vU_[208] - vU_[209] * vU_[22] - vU_[233] * vU_[133] - vU_[90] * vU_[85]) / vU_[112];
+ vU_[86] = (vU_[42] * vU_[153] + vU_[16] * vU_[86] - vU_[213] * vU_[208] - vU_[193] * vU_[22] - vU_[226] * vU_[133] - vU_[236] * vU_[85] - vU_[98] * vU_[112]) / vU_[40];
+ jac[419] = - vU_[86];
+ vU_[112] = vU_[112] - vU_[169] * vU_[86];
+ jac[418] = - vU_[112];
+ vU_[85] = vU_[85] - vU_[230] * vU_[86] - vU_[171] * vU_[112];
+ jac[417] = - vU_[85];
+ vU_[133] = vU_[133] - vU_[59] * vU_[112] - vU_[149] * vU_[85] - vU_[199] * vU_[86];
+ jac[416] = - vU_[133];
+ vU_[208] = vU_[208] - vU_[113] * vU_[85] - vU_[186] * vU_[133] - vU_[176] * vU_[112] - vU_[137] * vU_[86];
+ jac[414] = vU_[128] * vU_[133] + vU_[238] * vU_[208] + vU_[54] * vU_[85] + vU_[237] * vU_[112] + vU_[120] * vU_[86] - vU_[22];
+ jac[415] = - vU_[208];
+ vU_[208] = -1 * jac[414];
+ vU_[133] = vU_[220] * jac[416] + vU_[141] * jac[415];
+ vU_[221] = vU_[141] * jac[416] + vU_[221] * jac[415];
+ vU_[141] = -1 * jac[417];
+ vU_[85] = 0.207 * jac[416] + vU_[141];
+ vU_[151] = vU_[33] * jac[416] + vU_[119] * jac[415] + vU_[218] * jac[414] + vU_[151] * jac[419] + vU_[217] * jac[418];
+ jac[420] = (0 - vU_[214] * vU_[208] - vU_[206] * vU_[133] - vU_[196] * vU_[221] - vU_[195] * vU_[85] - vU_[225] * (vU_[223] * jac[416] + vU_[222] * jac[415] + vU_[156] * jac[414] + vU_[220] * jac[419] + vU_[118] * jac[418]) - vU_[215] * vU_[151]) / vU_[214];
+ vU_[118] = -1 * vU_[133];
+ vU_[156] = vU_[208] + jac[420];
+ vU_[28] = vU_[178] * vU_[85] + vU_[15] * vU_[151] + vU_[28] * vU_[133];
+ vU_[151] = vU_[203] * vU_[85] + vU_[178] * vU_[151] + vU_[207] * vU_[133];
+ jac[421] = (0 - vU_[191] * vU_[118] - vU_[185] * (vU_[178] * vU_[156] + vU_[204] * vU_[221]) - vU_[190] * (vU_[203] * vU_[156] + vU_[178] * vU_[221]) - vU_[200] * vU_[28] - vU_[198] * vU_[151]) / vU_[191];
+ vU_[118] = vU_[118] + jac[421];
+ jac[422] = (0 - 0.1104774 * (vU_[179] * vU_[28] + vU_[170] * vU_[151] + vU_[91] * vU_[118]) - -0.0004405 * (vU_[181] * vU_[28] + vU_[179] * vU_[151] + vU_[184] * vU_[118]) - 0.026181 * vU_[118]) / 0.026181;
+ vU_[118] = vU_[159] * jac[416] + vU_[92] * jac[415];
+ vU_[161] = vU_[161] * jac[416] + vU_[159] * jac[415];
+ vU_[151] = 0.207 * jac[416] + jac[417];
+ vU_[93] = vU_[82] * jac[416] + vU_[152] * jac[415] + vU_[158] * jac[414] + vU_[93] * jac[419] + vU_[159] * jac[418];
+ jac[423] = (0 - vU_[154] * jac[414] - vU_[129] * vU_[118] - vU_[136] * vU_[161] - vU_[135] * vU_[151] - vU_[164] * (vU_[162] * jac[416] + vU_[160] * jac[415] + vU_[239] * jac[414] + vU_[159] * jac[419] + vU_[92] * jac[418]) - vU_[155] * vU_[93]) / vU_[154];
+ vU_[239] = jac[414] + jac[423];
+ vU_[175] = vU_[49] * vU_[151] + vU_[132] * vU_[93] + vU_[175] * vU_[118];
+ vU_[93] = vU_[143] * vU_[151] + vU_[77] * vU_[93] + vU_[148] * vU_[118];
+ jac[424] = (0 - vU_[131] * vU_[118] - vU_[125] * (vU_[126] * vU_[239] + vU_[144] * vU_[161]) - vU_[130] * (vU_[144] * vU_[239] + vU_[77] * vU_[161]) - vU_[140] * vU_[175] - vU_[138] * vU_[93]) / vU_[131];
+ vU_[118] = vU_[118] + jac[424];
+ jac[425] = (0 - 0.1104774 * (vU_[78] * vU_[175] + vU_[166] * vU_[93] + vU_[97] * vU_[118]) - -0.0004405 * (vU_[121] * vU_[175] + vU_[78] * vU_[93] + vU_[124] * vU_[118]) - 0.026181 * vU_[118]) / 0.026181;
+ vU_[118] = vU_[101] * jac[416] + vU_[24] * jac[415];
+ vU_[102] = vU_[24] * jac[416] + vU_[102] * jac[415];
+ vU_[141] = 0.207 * jac[416] + vU_[141];
+ vU_[48] = vU_[117] * jac[416] + vU_[165] * jac[415] + vU_[99] * jac[414] + vU_[34] * jac[419] + vU_[48] * jac[418];
+ jac[426] = (0 - vU_[95] * vU_[208] - vU_[83] * vU_[118] - vU_[71] * vU_[102] - vU_[70] * vU_[141] - vU_[106] * (vU_[104] * jac[416] + vU_[103] * jac[415] + vU_[58] * jac[414] + vU_[101] * jac[419] + vU_[212] * jac[418]) - vU_[96] * vU_[48]) / vU_[95];
+ vU_[212] = -1 * vU_[118];
+ vU_[208] = vU_[208] + jac[426];
+ vU_[36] = vU_[61] * vU_[141] + vU_[94] * vU_[48] + vU_[36] * vU_[118];
+ vU_[48] = vU_[79] * vU_[141] + vU_[61] * vU_[48] + vU_[88] * vU_[118];
+ jac[427] = (0 - vU_[66] * vU_[212] - 2.1e-05 * (vU_[61] * vU_[208] + vU_[80] * vU_[102]) - -0.000102 * (vU_[79] * vU_[208] + vU_[61] * vU_[102]) - vU_[76] * vU_[36] - vU_[73] * vU_[48]) / vU_[66];
+ vU_[212] = vU_[212] + jac[427];
+ jac[428] = (0 - 0.110125 * (vU_[64] * vU_[36] + vU_[147] * vU_[48] + vU_[35] * vU_[212]) - 0.000881 * (vU_[62] * vU_[36] + vU_[64] * vU_[48] + vU_[63] * vU_[212]) - 0.026181 * vU_[212]) / 0.026181;
+ vU_[212] = vU_[42] * jac[416] + vU_[0] * jac[415];
+ vU_[44] = vU_[44] * jac[416] + vU_[42] * jac[415];
+ vU_[48] = 0.207 * jac[416] + jac[417];
+ vU_[16] = vU_[11] * jac[416] + vU_[68] * jac[415] + vU_[41] * jac[414] + vU_[16] * jac[419] + vU_[42] * jac[418];
+ jac[429] = (vU_[20] - vU_[37] * jac[414] - vU_[12] * vU_[212] - vU_[19] * vU_[44] - vU_[18] * vU_[48] - vU_[47] * (vU_[45] * jac[416] + vU_[43] * jac[415] + vU_[157] * jac[414] + vU_[42] * jac[419] + vU_[0] * jac[418]) - vU_[38] * vU_[16]) / vU_[37];
+ vU_[20] = jac[414] + jac[429];
+ vU_[142] = vU_[189] * vU_[48] + vU_[139] * vU_[16] + vU_[142] * vU_[212];
+ vU_[16] = vU_[26] * vU_[48] + vU_[1] * vU_[16] + vU_[31] * vU_[212];
+ jac[430] = (vU_[75] - vU_[14] * vU_[212] - vU_[8] * (vU_[9] * vU_[20] + vU_[27] * vU_[44]) - vU_[13] * (vU_[27] * vU_[20] + vU_[1] * vU_[44]) - vU_[23] * vU_[142] - vU_[21] * vU_[16]) / vU_[14];
+ vU_[212] = vU_[212] + jac[430];
+ jac[431] = (1 - 0.1104774 * (vU_[2] * vU_[142] + vU_[111] * vU_[16] + vU_[107] * vU_[212]) - 0.0004405 * (vU_[4] * vU_[142] + vU_[2] * vU_[16] + vU_[7] * vU_[212]) - 0.026181 * vU_[212]) / 0.026181;
+
+
+ return dFdu_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.h b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.h
new file mode 100644
index 0000000..b9501c6
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedForward.h
@@ -0,0 +1,59 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQBareModelLinearizedForward : public ct::core::LinearSystem<36, 12, double>
+{
+public:
+ typedef ct::core::LinearSystem<36, 12, double> Base;
+
+ typedef typename Base::state_vector_t state_vector_t;
+ typedef typename Base::control_vector_t control_vector_t;
+ typedef typename Base::state_matrix_t state_matrix_t;
+ typedef typename Base::state_control_matrix_t state_control_matrix_t;
+
+ HyQBareModelLinearizedForward(const ct::core::SYSTEM_TYPE& type = ct::core::SYSTEM_TYPE::GENERAL)
+ : ct::core::LinearSystem<36, 12>(type)
+ {
+ initialize();
+ }
+
+ HyQBareModelLinearizedForward(const HyQBareModelLinearizedForward& other) { initialize(); }
+ virtual ~HyQBareModelLinearizedForward(){};
+
+ virtual HyQBareModelLinearizedForward* clone() const override { return new HyQBareModelLinearizedForward; }
+ virtual const state_matrix_t& getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+ virtual const state_control_matrix_t& getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+private:
+ void initialize()
+ {
+ dFdx_.setZero();
+ dFdu_.setZero();
+ vX_.fill(0.0);
+ vU_.fill(0.0);
+ }
+
+ state_matrix_t dFdx_;
+ state_control_matrix_t dFdu_;
+ std::array<double, 987> vX_;
+ std::array<double, 240> vU_;
+};
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.cpp
new file mode 100644
index 0000000..3ec1217
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.cpp
@@ -0,0 +1,29266 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include "HyQBareModelLinearizedReverse.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+const HyQBareModelLinearizedReverse::state_matrix_t& HyQBareModelLinearizedReverse::getDerivativeState(
+ const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdx_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = 0.5 * x_in[0];
+ vX_[1] = cos(vX_[0]);
+ vX_[2] = 0.5 * x_in[1];
+ vX_[3] = cos(vX_[2]);
+ vX_[4] = vX_[1] * vX_[3];
+ vX_[5] = 0.5 * x_in[2];
+ jac[649] = sin(x_in[2]);
+ jac[685] = cos(x_in[2]);
+ vX_[6] = sin(vX_[5]);
+ vX_[7] = sin(vX_[0]);
+ vX_[8] = sin(vX_[2]);
+ vX_[9] = vX_[7] * vX_[8];
+ vX_[10] = cos(vX_[5]);
+ vX_[11] = vX_[4] * vX_[6] + vX_[9] * vX_[10];
+ vX_[12] = 2. * vX_[11];
+ vX_[13] = vX_[1] * vX_[8];
+ vX_[14] = vX_[7] * vX_[3];
+ vX_[15] = vX_[13] * vX_[10] - vX_[14] * vX_[6];
+ vX_[16] = 2. * vX_[15];
+ vX_[17] = x_in[23] * vX_[12] + x_in[22] * vX_[16];
+ vX_[18] = 0 - x_in[21];
+ vX_[19] = vX_[14] * vX_[10] + vX_[13] * vX_[6];
+ vX_[20] = vX_[4] * vX_[10] - vX_[9] * vX_[6];
+ vX_[18] = vX_[18] * vX_[16] + (vX_[18] * vX_[15] + x_in[22] * vX_[19] + x_in[23] * vX_[20]) * 2.;
+ vX_[21] = 0 - vX_[18];
+ vX_[22] = vX_[17] * vX_[10] + vX_[21] * vX_[6];
+ vX_[23] = 0 - x_in[22];
+ vX_[24] = vX_[23] * vX_[12] + x_in[23] * vX_[16];
+ vX_[25] = 0 - vX_[24];
+ vX_[26] = 0 - x_in[21];
+ vX_[26] = vX_[26] * vX_[12] + (vX_[26] * vX_[11] + x_in[23] * vX_[19] + vX_[23] * vX_[20]) * 2.;
+ vX_[23] = vX_[25] * vX_[6] + vX_[26] * vX_[10];
+ vX_[27] = cos(vX_[0]);
+ vX_[28] = vX_[24] * vX_[10] + vX_[26] * vX_[6];
+ vX_[29] = vX_[17] * vX_[6] + vX_[18] * vX_[10];
+ vX_[0] = sin(vX_[0]);
+ jac[3] = ((vX_[22] * vX_[3] + vX_[23] * vX_[8]) * vX_[27] - (vX_[28] * vX_[3] + vX_[29] * vX_[8]) * vX_[0]) * 0.5;
+ vX_[30] = 0 - x_in[22];
+ vX_[31] = 2. * vX_[19];
+ vX_[32] = 0 - x_in[23];
+ vX_[30] = x_in[21] * vX_[16] + vX_[30] * vX_[31] + (vX_[30] * vX_[19] + vX_[32] * vX_[20]) * 2.;
+ vX_[33] = x_in[23] * vX_[12] + x_in[21] * vX_[19] * 2.;
+ vX_[34] = 0 - vX_[33];
+ vX_[35] = vX_[30] * vX_[10] + vX_[34] * vX_[6];
+ vX_[32] = x_in[21] * vX_[12] + vX_[32] * vX_[31];
+ vX_[36] = 0 - vX_[32];
+ vX_[37] = 0 - x_in[22];
+ vX_[37] = vX_[37] * vX_[12] + (vX_[37] * vX_[11] + x_in[23] * vX_[15] + x_in[21] * vX_[20]) * 2.;
+ vX_[38] = vX_[36] * vX_[6] + vX_[37] * vX_[10];
+ vX_[39] = vX_[32] * vX_[10] + vX_[37] * vX_[6];
+ vX_[40] = vX_[30] * vX_[6] + vX_[33] * vX_[10];
+ jac[4] = ((vX_[35] * vX_[3] + vX_[38] * vX_[8]) * vX_[27] - (vX_[39] * vX_[3] + vX_[40] * vX_[8]) * vX_[0]) * 0.5;
+ vX_[41] = 0 - x_in[23];
+ vX_[41] = x_in[21] * vX_[12] + vX_[41] * vX_[31] + (vX_[41] * vX_[19] + x_in[22] * vX_[20]) * 2.;
+ vX_[42] = 0 - x_in[23];
+ vX_[43] = 0 - x_in[21];
+ vX_[42] = x_in[22] * vX_[12] + vX_[42] * vX_[16] + (vX_[42] * vX_[15] + vX_[43] * vX_[20]) * 2.;
+ vX_[44] = 0 - vX_[42];
+ vX_[45] = vX_[41] * vX_[10] + vX_[44] * vX_[6];
+ vX_[43] = vX_[43] * vX_[16] + x_in[22] * vX_[31];
+ vX_[46] = 0 - vX_[43];
+ vX_[47] = (x_in[22] * vX_[15] + x_in[21] * vX_[19]) * 2.;
+ vX_[48] = vX_[46] * vX_[6] + vX_[47] * vX_[10];
+ vX_[49] = vX_[43] * vX_[10] + vX_[47] * vX_[6];
+ vX_[10] = vX_[41] * vX_[6] + vX_[42] * vX_[10];
+ jac[5] = ((vX_[45] * vX_[3] + vX_[48] * vX_[8]) * vX_[27] - (vX_[49] * vX_[3] + vX_[10] * vX_[8]) * vX_[0]) * 0.5;
+ vX_[0] = 0.5 * x_in[0];
+ vX_[27] = cos(vX_[0]);
+ vX_[8] = 0.5 * x_in[1];
+ vX_[3] = cos(vX_[8]);
+ vX_[6] = vX_[27] * vX_[3];
+ vX_[50] = 0.5 * x_in[2];
+ vX_[51] = sin(vX_[50]);
+ vX_[52] = sin(vX_[0]);
+ vX_[53] = sin(vX_[8]);
+ vX_[54] = vX_[52] * vX_[53];
+ vX_[55] = cos(vX_[50]);
+ vX_[56] = 2. * (vX_[6] * vX_[51] + vX_[54] * vX_[55]);
+ vX_[57] = -9.81 * vX_[56];
+ vX_[58] = vX_[6] * vX_[55] - vX_[54] * vX_[51];
+ vX_[59] = 9.81 * vX_[58] * 2.;
+ vX_[60] = 0 - vX_[59];
+ vX_[61] = vX_[57] * vX_[55] + vX_[60] * vX_[51];
+ vX_[62] = vX_[27] * vX_[53];
+ vX_[63] = vX_[52] * vX_[3];
+ vX_[64] = vX_[62] * vX_[55] - vX_[63] * vX_[51];
+ vX_[65] = 2. * vX_[64];
+ vX_[66] = 9.81 * vX_[65];
+ vX_[67] = 0 - vX_[66];
+ vX_[68] = vX_[63] * vX_[55] + vX_[62] * vX_[51];
+ vX_[69] = -9.81 * vX_[68] * 2.;
+ vX_[70] = vX_[67] * vX_[51] + vX_[69] * vX_[55];
+ vX_[71] = cos(vX_[0]);
+ vX_[72] = vX_[66] * vX_[55] + vX_[69] * vX_[51];
+ vX_[73] = vX_[57] * vX_[51] + vX_[59] * vX_[55];
+ vX_[0] = sin(vX_[0]);
+ jac[21] = ((vX_[61] * vX_[3] + vX_[70] * vX_[53]) * vX_[71] - (vX_[72] * vX_[3] + vX_[73] * vX_[53]) * vX_[0]) * 0.5;
+ vX_[58] = -9.81 * vX_[58] * 2.;
+ vX_[56] = -9.81 * vX_[56];
+ vX_[74] = 0 - vX_[56];
+ vX_[75] = vX_[58] * vX_[55] + vX_[74] * vX_[51];
+ vX_[76] = 2. * vX_[68];
+ vX_[77] = -9.81 * vX_[76];
+ vX_[78] = 0 - vX_[77];
+ vX_[79] = -9.81 * vX_[64] * 2.;
+ vX_[80] = vX_[78] * vX_[51] + vX_[79] * vX_[55];
+ vX_[81] = vX_[77] * vX_[55] + vX_[79] * vX_[51];
+ vX_[82] = vX_[58] * vX_[51] + vX_[56] * vX_[55];
+ jac[22] = ((vX_[75] * vX_[3] + vX_[80] * vX_[53]) * vX_[71] - (vX_[81] * vX_[3] + vX_[82] * vX_[53]) * vX_[0]) * 0.5;
+ vX_[76] = 9.81 * vX_[76] + 9.81 * vX_[68] * 2.;
+ vX_[65] = 9.81 * vX_[65] + 9.81 * vX_[64] * 2.;
+ vX_[64] = 0 - vX_[65];
+ vX_[68] = vX_[76] * vX_[55] + vX_[64] * vX_[51];
+ vX_[55] = vX_[76] * vX_[51] + vX_[65] * vX_[55];
+ jac[23] = (vX_[68] * vX_[3] * vX_[71] - vX_[55] * vX_[53] * vX_[0]) * 0.5;
+ vX_[0] = cos(x_in[1]);
+ vX_[71] = 1 / vX_[0];
+ jac[648] = vX_[71] * jac[685];
+ vX_[53] = sin(x_in[1]);
+ jac[36] = 0 - (0 - (0 - x_in[19] * jac[649] + x_in[18] * jac[685]) * 1 / vX_[0] * vX_[71]) * vX_[53];
+ vX_[3] = vX_[71] * jac[649];
+ vX_[51] = 0 - vX_[71];
+ jac[684] = vX_[51] * jac[649];
+ vX_[83] = vX_[51] * jac[685];
+ vX_[84] = sin(x_in[1]);
+ jac[650] = vX_[83] * vX_[84];
+ jac[686] = vX_[3] * vX_[84];
+ vX_[85] = x_in[19] * vX_[84];
+ vX_[84] = x_in[18] * vX_[84];
+ jac[38] = (x_in[19] * vX_[3] + x_in[18] * vX_[83]) * cos(x_in[1]) - (0 - (vX_[85] * jac[649] - vX_[84] * jac[685]) * 1 / vX_[0] * vX_[71]) * vX_[53];
+ vX_[83] = cos(vX_[2]);
+ vX_[2] = sin(vX_[2]);
+ jac[39] = ((vX_[29] * vX_[1] + vX_[23] * vX_[7]) * vX_[83] - (vX_[28] * vX_[1] + vX_[22] * vX_[7]) * vX_[2]) * 0.5;
+ jac[40] = ((vX_[40] * vX_[1] + vX_[38] * vX_[7]) * vX_[83] - (vX_[39] * vX_[1] + vX_[35] * vX_[7]) * vX_[2]) * 0.5;
+ jac[41] = ((vX_[10] * vX_[1] + vX_[48] * vX_[7]) * vX_[83] - (vX_[49] * vX_[1] + vX_[45] * vX_[7]) * vX_[2]) * 0.5;
+ vX_[2] = cos(vX_[8]);
+ vX_[8] = sin(vX_[8]);
+ jac[57] = ((vX_[73] * vX_[27] + vX_[70] * vX_[52]) * vX_[2] - (vX_[72] * vX_[27] + vX_[61] * vX_[52]) * vX_[8]) * 0.5;
+ jac[58] = ((vX_[82] * vX_[27] + vX_[80] * vX_[52]) * vX_[2] - (vX_[81] * vX_[27] + vX_[75] * vX_[52]) * vX_[8]) * 0.5;
+ jac[59] = (vX_[55] * vX_[27] * vX_[2] - vX_[68] * vX_[52] * vX_[8]) * 0.5;
+ vX_[8] = sin(x_in[2]);
+ vX_[2] = cos(x_in[2]);
+ jac[72] = 0 - x_in[18] * vX_[71] * vX_[8] + x_in[19] * vX_[51] * vX_[2];
+ jac[73] = 0 - x_in[19] * vX_[8] + x_in[18] * vX_[2];
+ jac[74] = 0 - vX_[84] * vX_[51] * vX_[8] + vX_[85] * vX_[71] * vX_[2];
+ vX_[2] = cos(vX_[5]);
+ vX_[5] = sin(vX_[5]);
+ jac[75] = ((vX_[25] * vX_[9] + vX_[17] * vX_[13] + vX_[21] * vX_[14] + vX_[26] * vX_[4]) * vX_[2] - (vX_[24] * vX_[4] + vX_[17] * vX_[14] + vX_[18] * vX_[13] + vX_[26] * vX_[9]) * vX_[5]) * 0.5;
+ jac[76] = ((vX_[36] * vX_[9] + vX_[30] * vX_[13] + vX_[34] * vX_[14] + vX_[37] * vX_[4]) * vX_[2] - (vX_[32] * vX_[4] + vX_[30] * vX_[14] + vX_[33] * vX_[13] + vX_[37] * vX_[9]) * vX_[5]) * 0.5;
+ jac[77] = ((vX_[46] * vX_[9] + vX_[41] * vX_[13] + vX_[44] * vX_[14] + vX_[47] * vX_[4]) * vX_[2] - (vX_[43] * vX_[4] + vX_[41] * vX_[14] + vX_[42] * vX_[13] + vX_[47] * vX_[9]) * vX_[5]) * 0.5;
+ vX_[5] = cos(vX_[50]);
+ vX_[50] = sin(vX_[50]);
+ jac[93] = ((vX_[67] * vX_[54] + vX_[57] * vX_[62] + vX_[60] * vX_[63] + vX_[69] * vX_[6]) * vX_[5] - (vX_[66] * vX_[6] + vX_[57] * vX_[63] + vX_[59] * vX_[62] + vX_[69] * vX_[54]) * vX_[50]) * 0.5;
+ jac[94] = ((vX_[78] * vX_[54] + vX_[58] * vX_[62] + vX_[74] * vX_[63] + vX_[79] * vX_[6]) * vX_[5] - (vX_[77] * vX_[6] + vX_[58] * vX_[63] + vX_[56] * vX_[62] + vX_[79] * vX_[54]) * vX_[50]) * 0.5;
+ jac[95] = ((vX_[76] * vX_[62] + vX_[64] * vX_[63]) * vX_[5] - (vX_[76] * vX_[63] + vX_[65] * vX_[62]) * vX_[50]) * 0.5;
+ vX_[50] = cos(x_in[15]);
+ vX_[5] = 0.207 * vX_[50];
+ vX_[64] = sin(x_in[16]);
+ vX_[65] = 0 - vX_[64];
+ vX_[76] = cos(x_in[17]);
+ vX_[63] = -8.81e-05 * vX_[76];
+ vX_[62] = sin(x_in[17]);
+ vX_[79] = 0 - vX_[62];
+ vX_[78] = 8.81e-05 * vX_[79];
+ vX_[77] = 0.35 * vX_[62];
+ vX_[74] = 8.81e-05 * vX_[77];
+ vX_[56] = 2. * vX_[74];
+ vX_[58] = -0.35 * vX_[76];
+ vX_[54] = 0 - -8.81e-05 * vX_[58];
+ vX_[6] = 2. * vX_[54];
+ vX_[74] = 0 - vX_[74];
+ vX_[69] = -0.000102 + vX_[56] * vX_[79] + vX_[6] * vX_[76] - vX_[76] * vX_[54] - vX_[62] * vX_[74];
+ vX_[67] = -0.00185880198235362 * vX_[77] - 0.414812462825713 * vX_[58];
+ vX_[66] = 0.881 * vX_[58];
+ vX_[60] = -0.1104774 + vX_[66];
+ vX_[59] = vX_[67] + vX_[60];
+ vX_[57] = 0.880992588508842 * vX_[77] - -0.00185880198235362 * vX_[58];
+ vX_[2] = 0 - 0.881 * vX_[77];
+ vX_[47] = -0.0004405 + vX_[2];
+ vX_[46] = vX_[57] + vX_[47];
+ vX_[60] = 0 - vX_[60];
+ vX_[43] = vX_[62] * vX_[60] + vX_[76] * vX_[47];
+ vX_[44] = -0.0825825 + vX_[59] * vX_[79] + vX_[46] * vX_[76] - vX_[43];
+ vX_[42] = vX_[57] * vX_[77] - vX_[67] * vX_[58];
+ vX_[41] = 0.089871 + vX_[42];
+ vX_[14] = vX_[44] / vX_[41];
+ vX_[13] = vX_[63] * vX_[79] + vX_[78] * vX_[76] - vX_[69] * vX_[14];
+ vX_[9] = cos(x_in[16]);
+ vX_[4] = 0 - vX_[9];
+ vX_[37] = -8.81e-05 * vX_[62];
+ vX_[36] = 8.81e-05 * vX_[76];
+ vX_[32] = 2.1e-05 + vX_[56] * vX_[76] + vX_[6] * vX_[62] + vX_[79] * vX_[54] + vX_[76] * vX_[74];
+ vX_[34] = vX_[37] * vX_[79] + vX_[36] * vX_[76] - vX_[32] * vX_[14];
+ vX_[33] = vX_[65] * vX_[13] + vX_[4] * vX_[34];
+ vX_[30] = vX_[76] * vX_[60] + vX_[79] * vX_[47];
+ vX_[26] = 0.47422804 + vX_[59] * vX_[76] + vX_[46] * vX_[62] + vX_[30];
+ vX_[25] = vX_[26] / vX_[41];
+ vX_[24] = vX_[63] * vX_[76] + vX_[78] * vX_[62] - vX_[69] * vX_[25];
+ vX_[21] = vX_[37] * vX_[76] + vX_[36] * vX_[62] - vX_[32] * vX_[25];
+ vX_[18] = vX_[65] * vX_[24] + vX_[4] * vX_[21];
+ vX_[17] = vX_[33] * vX_[9] + vX_[18] * vX_[65];
+ vX_[8] = 0.08 * vX_[4];
+ vX_[84] = 4.027 * vX_[8];
+ vX_[30] = -0.47422804 - vX_[30];
+ vX_[85] = vX_[84] + vX_[30];
+ vX_[51] = 0 - vX_[85];
+ vX_[71] = 0.08 * vX_[64];
+ vX_[55] = 0 - 4.027 * vX_[71];
+ vX_[43] = 0.0825825 + vX_[43];
+ vX_[68] = vX_[55] + vX_[43];
+ vX_[52] = vX_[9] * vX_[51] + vX_[65] * vX_[68];
+ vX_[27] = 0.1466472 + vX_[52];
+ vX_[82] = -7.4114911576828e-06 * vX_[62] + -0.00185880198235362 * vX_[76];
+ vX_[81] = -0.00185880198235362 * vX_[62] + -0.466187537174287 * vX_[76];
+ vX_[80] = vX_[82] * vX_[62] + vX_[81] * vX_[76];
+ vX_[75] = 3.56080505133456 - vX_[80] - vX_[44] * vX_[14];
+ vX_[73] = vX_[81] * vX_[79] + vX_[82] * vX_[76] - vX_[44] * vX_[25];
+ vX_[72] = vX_[71] * vX_[75] - vX_[8] * vX_[73];
+ vX_[80] = 4.027 + vX_[80] - vX_[26] * vX_[25];
+ vX_[70] = vX_[71] * vX_[73] - vX_[8] * vX_[80];
+ vX_[61] = vX_[72] * vX_[71] - vX_[70] * vX_[8];
+ vX_[83] = 0.026409 + -0.2209548 * vX_[58] + vX_[66] * vX_[58] - vX_[42];
+ vX_[10] = 0.000468 - -0.000881 * vX_[77] - vX_[2] * vX_[77] - vX_[42];
+ vX_[49] = -0.0004405 * vX_[58] + vX_[2] * vX_[58] - -0.1104774 * vX_[77];
+ vX_[48] = vX_[62] * vX_[10] + vX_[76] * vX_[49];
+ vX_[45] = vX_[62] * vX_[49] + vX_[76] * vX_[83];
+ vX_[7] = vX_[48] * vX_[62] + vX_[45] * vX_[76];
+ vX_[1] = vX_[69] / vX_[41];
+ vX_[40] = 0.005495 + vX_[83] + vX_[10] + vX_[42] - vX_[7] - vX_[69] * vX_[1];
+ vX_[39] = 2. * vX_[43];
+ vX_[38] = vX_[40] - vX_[39] * vX_[71] - vX_[55] * vX_[71] - vX_[61];
+ vX_[35] = vX_[32] / vX_[41];
+ vX_[29] = -0.007418 + vX_[45] * vX_[79] + vX_[48] * vX_[76] - vX_[69] * vX_[35];
+ vX_[28] = vX_[29] + vX_[43] * vX_[8] + vX_[55] * vX_[8] - vX_[30] * vX_[71];
+ vX_[23] = vX_[65] * vX_[38] + vX_[4] * vX_[28];
+ vX_[22] = 2. * vX_[30];
+ vX_[7] = 0.087136 + vX_[42] + vX_[7] - vX_[32] * vX_[35];
+ vX_[42] = vX_[22] * vX_[8] + vX_[7] + vX_[84] * vX_[8] - vX_[61];
+ vX_[3] = vX_[65] * vX_[28] + vX_[4] * vX_[42];
+ vX_[53] = vX_[23] * vX_[65] + vX_[3] * vX_[4];
+ vX_[0] = 0.011033 + vX_[61] + vX_[53];
+ vX_[86] = vX_[27] / vX_[0];
+ vX_[87] = 0 - vX_[17] * vX_[86];
+ vX_[88] = sin(x_in[15]);
+ vX_[89] = 0.207 * vX_[88];
+ vX_[90] = 7.467 - vX_[27] * vX_[86];
+ vX_[91] = vX_[5] * vX_[87] - vX_[89] * vX_[90];
+ vX_[92] = vX_[75] - 4.027;
+ vX_[93] = vX_[65] * vX_[92] + vX_[4] * vX_[73];
+ vX_[94] = vX_[80] - 4.027;
+ vX_[95] = vX_[65] * vX_[73] + vX_[4] * vX_[94];
+ vX_[96] = vX_[93] * vX_[65] + vX_[95] * vX_[4];
+ vX_[97] = vX_[33] * vX_[65] + vX_[18] * vX_[4];
+ vX_[98] = vX_[97] / vX_[0];
+ vX_[99] = 7.467 + vX_[96] - vX_[97] * vX_[98];
+ vX_[100] = 0.3735 * vX_[88];
+ vX_[101] = 0 - vX_[50];
+ vX_[102] = -0.3735 * vX_[50];
+ vX_[103] = vX_[88] * vX_[100] + vX_[101] * vX_[102];
+ vX_[104] = vX_[95] * vX_[65] + vX_[93] * vX_[9] - vX_[17] * vX_[98];
+ vX_[105] = vX_[89] * vX_[99] - vX_[103] * vX_[104];
+ vX_[85] = vX_[70] + vX_[85];
+ vX_[106] = vX_[72] + vX_[68];
+ vX_[107] = vX_[13] * vX_[71] - vX_[24] * vX_[8];
+ vX_[108] = vX_[34] * vX_[71] - vX_[21] * vX_[8];
+ vX_[109] = 0 - vX_[108];
+ vX_[110] = -5.1e-05 + vX_[65] * vX_[107] + vX_[9] * vX_[109];
+ vX_[52] = -0.1466472 + vX_[85] * vX_[4] + vX_[106] * vX_[65] - vX_[52] - vX_[110] * vX_[98];
+ vX_[111] = vX_[105] + vX_[52];
+ vX_[112] = vX_[91] + vX_[111];
+ vX_[113] = vX_[17] / vX_[0];
+ vX_[96] = 7.467 + vX_[94] + vX_[92] - vX_[96] - vX_[17] * vX_[113];
+ vX_[114] = vX_[5] * vX_[96] - vX_[89] * vX_[87];
+ vX_[115] = 0 - vX_[27] * vX_[98];
+ vX_[116] = vX_[103] * vX_[115] - vX_[5] * vX_[99];
+ vX_[117] = vX_[9] * vX_[24] + vX_[65] * vX_[21];
+ vX_[118] = vX_[9] * vX_[13] + vX_[65] * vX_[34];
+ vX_[119] = -0.022734 + vX_[3] * vX_[65] + vX_[23] * vX_[9];
+ vX_[120] = vX_[117] * vX_[4] + vX_[118] * vX_[65] - vX_[119] * vX_[98];
+ vX_[121] = vX_[116] + vX_[120];
+ vX_[122] = vX_[114] + vX_[121];
+ vX_[111] = 0 - vX_[111];
+ vX_[123] = vX_[101] * vX_[111] + vX_[88] * vX_[121];
+ vX_[124] = vX_[112] * vX_[50] + vX_[122] * vX_[88] - vX_[123];
+ vX_[125] = cos(x_in[12]);
+ vX_[126] = -0.207 * vX_[125];
+ vX_[127] = -1 * vX_[126];
+ vX_[128] = sin(x_in[13]);
+ vX_[129] = sin(x_in[14]);
+ vX_[130] = 0.35 * vX_[129];
+ vX_[131] = cos(x_in[14]);
+ vX_[132] = -0.35 * vX_[131];
+ vX_[133] = -0.00370574557885489 * vX_[130] - 0.417781802643138 * vX_[132];
+ vX_[134] = 0.881 * vX_[132];
+ vX_[135] = -0.110125 + vX_[134];
+ vX_[136] = vX_[133] + vX_[135];
+ vX_[137] = 0 - vX_[129];
+ vX_[138] = 0.880970354035369 * vX_[130] - -0.00370574557885489 * vX_[132];
+ vX_[139] = 0 - 0.881 * vX_[130];
+ vX_[140] = -0.000881 + vX_[139];
+ vX_[141] = vX_[138] + vX_[140];
+ vX_[135] = 0 - vX_[135];
+ vX_[142] = vX_[129] * vX_[135] + vX_[131] * vX_[140];
+ vX_[143] = -0.0825825 + vX_[136] * vX_[137] + vX_[141] * vX_[131] - vX_[142];
+ vX_[144] = vX_[138] * vX_[130] - vX_[133] * vX_[132];
+ vX_[145] = 0.089871 + vX_[144];
+ vX_[146] = vX_[143] / vX_[145];
+ vX_[147] = 0 - -0.000102 * vX_[146];
+ vX_[148] = cos(x_in[13]);
+ vX_[149] = 0 - 2.1e-05 * vX_[146];
+ vX_[150] = vX_[128] * vX_[147] + vX_[148] * vX_[149];
+ vX_[151] = vX_[131] * vX_[135] + vX_[137] * vX_[140];
+ vX_[152] = 0.47422804 + vX_[136] * vX_[131] + vX_[141] * vX_[129] + vX_[151];
+ vX_[153] = vX_[152] / vX_[145];
+ vX_[154] = 0 - -0.000102 * vX_[153];
+ vX_[155] = 0 - 2.1e-05 * vX_[153];
+ vX_[156] = vX_[128] * vX_[154] + vX_[148] * vX_[155];
+ vX_[157] = 0 - vX_[128];
+ vX_[158] = vX_[150] * vX_[148] + vX_[156] * vX_[157];
+ vX_[159] = -0.08 * vX_[148];
+ vX_[160] = 4.027 * vX_[159];
+ vX_[151] = -0.47422804 - vX_[151];
+ vX_[161] = vX_[160] + vX_[151];
+ vX_[162] = 0 - vX_[161];
+ vX_[163] = -0.08 * vX_[128];
+ vX_[164] = -1 * vX_[163];
+ vX_[165] = 0 - 4.027 * vX_[164];
+ vX_[142] = 0.0825825 + vX_[142];
+ vX_[166] = vX_[165] + vX_[142];
+ vX_[167] = vX_[148] * vX_[162] + vX_[157] * vX_[166];
+ vX_[168] = 0.1466472 + vX_[167];
+ vX_[169] = -2.96459646308422e-05 * vX_[129] + -0.00370574557885489 * vX_[131];
+ vX_[170] = -0.00370574557885489 * vX_[129] + -0.463218197356862 * vX_[131];
+ vX_[171] = vX_[169] * vX_[129] + vX_[170] * vX_[131];
+ vX_[172] = 3.56375215667851 - vX_[171] - vX_[143] * vX_[146];
+ vX_[173] = vX_[170] * vX_[137] + vX_[169] * vX_[131] - vX_[143] * vX_[153];
+ vX_[174] = vX_[164] * vX_[172] - vX_[159] * vX_[173];
+ vX_[171] = 4.027 + vX_[171] - vX_[152] * vX_[153];
+ vX_[175] = vX_[164] * vX_[173] - vX_[159] * vX_[171];
+ vX_[176] = vX_[174] * vX_[164] - vX_[175] * vX_[159];
+ vX_[177] = 0.026409 + -0.22025 * vX_[132] + vX_[134] * vX_[132] - vX_[144];
+ vX_[178] = 0.000468 - -0.001762 * vX_[130] - vX_[139] * vX_[130] - vX_[144];
+ vX_[179] = -0.000881 * vX_[132] + vX_[139] * vX_[132] - -0.110125 * vX_[130];
+ vX_[180] = vX_[129] * vX_[178] + vX_[131] * vX_[179];
+ vX_[181] = vX_[129] * vX_[179] + vX_[131] * vX_[177];
+ vX_[182] = vX_[180] * vX_[129] + vX_[181] * vX_[131];
+ vX_[183] = -0.000102 / vX_[145];
+ vX_[184] = 0.005495 + vX_[177] + vX_[178] + vX_[144] - vX_[182] - -0.000102 * vX_[183];
+ vX_[185] = 2. * vX_[142];
+ vX_[186] = vX_[184] - vX_[185] * vX_[164] - vX_[165] * vX_[164] - vX_[176];
+ vX_[187] = 2.1e-05 / vX_[145];
+ vX_[188] = -0.007418 + vX_[181] * vX_[137] + vX_[180] * vX_[131] - -0.000102 * vX_[187];
+ vX_[189] = vX_[188] + vX_[142] * vX_[159] + vX_[165] * vX_[159] - vX_[151] * vX_[164];
+ vX_[190] = vX_[128] * vX_[186] + vX_[148] * vX_[189];
+ vX_[191] = 2. * vX_[151];
+ vX_[182] = 0.087136 + vX_[144] + vX_[182] - 2.1e-05 * vX_[187];
+ vX_[144] = vX_[191] * vX_[159] + vX_[182] + vX_[160] * vX_[159] - vX_[176];
+ vX_[192] = vX_[128] * vX_[189] + vX_[148] * vX_[144];
+ vX_[193] = vX_[190] * vX_[128] + vX_[192] * vX_[148];
+ vX_[194] = 0.011033 + vX_[176] + vX_[193];
+ vX_[195] = vX_[168] / vX_[194];
+ vX_[196] = 0 - vX_[158] * vX_[195];
+ vX_[197] = sin(x_in[12]);
+ vX_[198] = 0.207 * vX_[197];
+ vX_[199] = 7.467 - vX_[168] * vX_[195];
+ vX_[200] = vX_[127] * vX_[196] - vX_[198] * vX_[199];
+ vX_[201] = vX_[172] - 4.027;
+ vX_[202] = vX_[128] * vX_[201] + vX_[148] * vX_[173];
+ vX_[203] = vX_[171] - 4.027;
+ vX_[204] = vX_[128] * vX_[173] + vX_[148] * vX_[203];
+ vX_[205] = vX_[202] * vX_[128] + vX_[204] * vX_[148];
+ vX_[206] = vX_[150] * vX_[128] + vX_[156] * vX_[148];
+ vX_[207] = vX_[206] / vX_[194];
+ vX_[208] = 7.467 + vX_[205] - vX_[206] * vX_[207];
+ vX_[209] = 0 - vX_[197];
+ vX_[210] = 0.3735 * vX_[197];
+ vX_[211] = 0 - vX_[125];
+ vX_[212] = 0.3735 * vX_[125];
+ vX_[213] = vX_[209] * vX_[210] + vX_[211] * vX_[212];
+ vX_[214] = vX_[204] * vX_[157] + vX_[202] * vX_[148] - vX_[158] * vX_[207];
+ vX_[215] = vX_[198] * vX_[208] - vX_[213] * vX_[214];
+ vX_[161] = -1 * (vX_[175] + vX_[161]);
+ vX_[216] = -1 * (vX_[174] + vX_[166]);
+ vX_[217] = vX_[147] * vX_[164] - vX_[154] * vX_[159];
+ vX_[218] = vX_[149] * vX_[164] - vX_[155] * vX_[159];
+ vX_[219] = 0 - vX_[218];
+ vX_[220] = -5.1e-05 + vX_[157] * vX_[217] + vX_[148] * vX_[219];
+ vX_[167] = -0.1466472 + vX_[161] * vX_[148] + vX_[216] * vX_[128] - vX_[167] - vX_[220] * vX_[207];
+ vX_[221] = vX_[215] + vX_[167];
+ vX_[222] = -1 * (vX_[200] + vX_[221]);
+ vX_[223] = vX_[158] / vX_[194];
+ vX_[205] = 7.467 + vX_[203] + vX_[201] - vX_[205] - vX_[158] * vX_[223];
+ vX_[224] = vX_[127] * vX_[205] - vX_[198] * vX_[196];
+ vX_[225] = 0 - vX_[168] * vX_[207];
+ vX_[226] = vX_[213] * vX_[225] - vX_[127] * vX_[208];
+ vX_[227] = vX_[148] * vX_[154] + vX_[157] * vX_[155];
+ vX_[228] = vX_[148] * vX_[147] + vX_[157] * vX_[149];
+ vX_[229] = 0.022734 + vX_[192] * vX_[157] + vX_[190] * vX_[148];
+ vX_[230] = vX_[227] * vX_[148] + vX_[228] * vX_[128] - vX_[229] * vX_[207];
+ vX_[231] = vX_[226] + vX_[230];
+ vX_[232] = -1 * (vX_[224] + vX_[231]);
+ vX_[221] = 0 - vX_[221];
+ vX_[233] = vX_[211] * vX_[221] + vX_[197] * vX_[231];
+ vX_[234] = vX_[222] * vX_[211] + vX_[232] * vX_[209] - vX_[233];
+ vX_[235] = cos(x_in[9]);
+ vX_[236] = 0.207 * vX_[235];
+ vX_[237] = sin(x_in[10]);
+ vX_[238] = 0 - vX_[237];
+ vX_[239] = cos(x_in[11]);
+ vX_[240] = 8.81e-05 * vX_[239];
+ vX_[241] = sin(x_in[11]);
+ vX_[242] = 0 - vX_[241];
+ vX_[243] = -8.81e-05 * vX_[242];
+ vX_[244] = 0.35 * vX_[241];
+ vX_[245] = -8.81e-05 * vX_[244];
+ vX_[246] = 2. * vX_[245];
+ vX_[247] = -0.35 * vX_[239];
+ vX_[248] = 0 - 8.81e-05 * vX_[247];
+ vX_[249] = 2. * vX_[248];
+ vX_[245] = 0 - vX_[245];
+ vX_[250] = 0.000102 + vX_[246] * vX_[242] + vX_[249] * vX_[239] - vX_[239] * vX_[248] - vX_[241] * vX_[245];
+ vX_[251] = 0.00185880198235362 * vX_[244] - 0.414812462825713 * vX_[247];
+ vX_[252] = 0.881 * vX_[247];
+ vX_[253] = -0.1104774 + vX_[252];
+ vX_[254] = vX_[251] + vX_[253];
+ vX_[255] = 0.880992588508842 * vX_[244] - 0.00185880198235362 * vX_[247];
+ vX_[256] = 0 - 0.881 * vX_[244];
+ vX_[257] = 0.0004405 + vX_[256];
+ vX_[258] = vX_[255] + vX_[257];
+ vX_[253] = 0 - vX_[253];
+ vX_[259] = vX_[241] * vX_[253] + vX_[239] * vX_[257];
+ vX_[260] = 0.0825825 + vX_[254] * vX_[242] + vX_[258] * vX_[239] - vX_[259];
+ vX_[261] = vX_[255] * vX_[244] - vX_[251] * vX_[247];
+ vX_[262] = 0.089871 + vX_[261];
+ vX_[263] = vX_[260] / vX_[262];
+ vX_[264] = vX_[240] * vX_[242] + vX_[243] * vX_[239] - vX_[250] * vX_[263];
+ vX_[265] = cos(x_in[10]);
+ vX_[266] = 0 - vX_[265];
+ vX_[267] = 8.81e-05 * vX_[241];
+ vX_[268] = -8.81e-05 * vX_[239];
+ vX_[269] = 2.1e-05 + vX_[246] * vX_[239] + vX_[249] * vX_[241] + vX_[242] * vX_[248] + vX_[239] * vX_[245];
+ vX_[270] = vX_[267] * vX_[242] + vX_[268] * vX_[239] - vX_[269] * vX_[263];
+ vX_[271] = vX_[238] * vX_[264] + vX_[266] * vX_[270];
+ vX_[272] = vX_[239] * vX_[253] + vX_[242] * vX_[257];
+ vX_[273] = 0.47422804 + vX_[254] * vX_[239] + vX_[258] * vX_[241] + vX_[272];
+ vX_[274] = vX_[273] / vX_[262];
+ vX_[275] = vX_[240] * vX_[239] + vX_[243] * vX_[241] - vX_[250] * vX_[274];
+ vX_[276] = vX_[267] * vX_[239] + vX_[268] * vX_[241] - vX_[269] * vX_[274];
+ vX_[277] = vX_[238] * vX_[275] + vX_[266] * vX_[276];
+ vX_[278] = vX_[271] * vX_[265] + vX_[277] * vX_[238];
+ vX_[279] = 0.08 * vX_[266];
+ vX_[280] = 4.027 * vX_[279];
+ vX_[272] = -0.47422804 - vX_[272];
+ vX_[281] = vX_[280] + vX_[272];
+ vX_[282] = 0 - vX_[281];
+ vX_[283] = 0.08 * vX_[237];
+ vX_[284] = 0 - 4.027 * vX_[283];
+ vX_[259] = -0.0825825 + vX_[259];
+ vX_[285] = vX_[284] + vX_[259];
+ vX_[286] = vX_[265] * vX_[282] + vX_[238] * vX_[285];
+ vX_[287] = 0.1466472 + vX_[286];
+ vX_[288] = -7.4114911576828e-06 * vX_[241] + 0.00185880198235362 * vX_[239];
+ vX_[289] = 0.00185880198235362 * vX_[241] + -0.466187537174287 * vX_[239];
+ vX_[290] = vX_[288] * vX_[241] + vX_[289] * vX_[239];
+ vX_[291] = 3.56080505133456 - vX_[290] - vX_[260] * vX_[263];
+ vX_[292] = vX_[289] * vX_[242] + vX_[288] * vX_[239] - vX_[260] * vX_[274];
+ vX_[293] = vX_[283] * vX_[291] - vX_[279] * vX_[292];
+ vX_[290] = 4.027 + vX_[290] - vX_[273] * vX_[274];
+ vX_[294] = vX_[283] * vX_[292] - vX_[279] * vX_[290];
+ vX_[295] = vX_[293] * vX_[283] - vX_[294] * vX_[279];
+ vX_[296] = 0.026409 + -0.2209548 * vX_[247] + vX_[252] * vX_[247] - vX_[261];
+ vX_[297] = 0.000468 - 0.000881 * vX_[244] - vX_[256] * vX_[244] - vX_[261];
+ vX_[298] = 0.0004405 * vX_[247] + vX_[256] * vX_[247] - -0.1104774 * vX_[244];
+ vX_[299] = vX_[241] * vX_[297] + vX_[239] * vX_[298];
+ vX_[300] = vX_[241] * vX_[298] + vX_[239] * vX_[296];
+ vX_[301] = vX_[299] * vX_[241] + vX_[300] * vX_[239];
+ vX_[302] = vX_[250] / vX_[262];
+ vX_[303] = 0.005495 + vX_[296] + vX_[297] + vX_[261] - vX_[301] - vX_[250] * vX_[302];
+ vX_[304] = 2. * vX_[259];
+ vX_[305] = vX_[303] - vX_[304] * vX_[283] - vX_[284] * vX_[283] - vX_[295];
+ vX_[306] = vX_[269] / vX_[262];
+ vX_[307] = 0.007418 + vX_[300] * vX_[242] + vX_[299] * vX_[239] - vX_[250] * vX_[306];
+ vX_[308] = vX_[307] + vX_[259] * vX_[279] + vX_[284] * vX_[279] - vX_[272] * vX_[283];
+ vX_[309] = vX_[238] * vX_[305] + vX_[266] * vX_[308];
+ vX_[310] = 2. * vX_[272];
+ vX_[301] = 0.087136 + vX_[261] + vX_[301] - vX_[269] * vX_[306];
+ vX_[261] = vX_[310] * vX_[279] + vX_[301] + vX_[280] * vX_[279] - vX_[295];
+ vX_[311] = vX_[238] * vX_[308] + vX_[266] * vX_[261];
+ vX_[312] = vX_[309] * vX_[238] + vX_[311] * vX_[266];
+ vX_[313] = 0.011033 + vX_[295] + vX_[312];
+ vX_[314] = vX_[287] / vX_[313];
+ vX_[315] = 0 - vX_[278] * vX_[314];
+ vX_[316] = sin(x_in[9]);
+ vX_[317] = 0.207 * vX_[316];
+ vX_[318] = 7.467 - vX_[287] * vX_[314];
+ vX_[319] = vX_[236] * vX_[315] - vX_[317] * vX_[318];
+ vX_[320] = vX_[291] - 4.027;
+ vX_[321] = vX_[238] * vX_[320] + vX_[266] * vX_[292];
+ vX_[322] = vX_[290] - 4.027;
+ vX_[323] = vX_[238] * vX_[292] + vX_[266] * vX_[322];
+ vX_[324] = vX_[321] * vX_[238] + vX_[323] * vX_[266];
+ vX_[325] = vX_[271] * vX_[238] + vX_[277] * vX_[266];
+ vX_[326] = vX_[325] / vX_[313];
+ vX_[327] = 7.467 + vX_[324] - vX_[325] * vX_[326];
+ vX_[328] = -0.3735 * vX_[316];
+ vX_[329] = 0 - vX_[235];
+ vX_[330] = 0.3735 * vX_[235];
+ vX_[331] = vX_[316] * vX_[328] + vX_[329] * vX_[330];
+ vX_[332] = vX_[323] * vX_[238] + vX_[321] * vX_[265] - vX_[278] * vX_[326];
+ vX_[333] = vX_[317] * vX_[327] - vX_[331] * vX_[332];
+ vX_[281] = vX_[294] + vX_[281];
+ vX_[334] = vX_[293] + vX_[285];
+ vX_[335] = vX_[264] * vX_[283] - vX_[275] * vX_[279];
+ vX_[336] = vX_[270] * vX_[283] - vX_[276] * vX_[279];
+ vX_[337] = 0 - vX_[336];
+ vX_[338] = -5.1e-05 + vX_[238] * vX_[335] + vX_[265] * vX_[337];
+ vX_[286] = -0.1466472 + vX_[281] * vX_[266] + vX_[334] * vX_[238] - vX_[286] - vX_[338] * vX_[326];
+ vX_[339] = vX_[333] + vX_[286];
+ vX_[340] = vX_[319] + vX_[339];
+ vX_[341] = vX_[278] / vX_[313];
+ vX_[324] = 7.467 + vX_[322] + vX_[320] - vX_[324] - vX_[278] * vX_[341];
+ vX_[342] = vX_[236] * vX_[324] - vX_[317] * vX_[315];
+ vX_[343] = 0 - vX_[287] * vX_[326];
+ vX_[344] = vX_[331] * vX_[343] - vX_[236] * vX_[327];
+ vX_[345] = vX_[265] * vX_[275] + vX_[238] * vX_[276];
+ vX_[346] = vX_[265] * vX_[264] + vX_[238] * vX_[270];
+ vX_[347] = 0.022734 + vX_[311] * vX_[238] + vX_[309] * vX_[265];
+ vX_[348] = vX_[345] * vX_[266] + vX_[346] * vX_[238] - vX_[347] * vX_[326];
+ vX_[349] = vX_[344] + vX_[348];
+ vX_[350] = vX_[342] + vX_[349];
+ vX_[339] = 0 - vX_[339];
+ vX_[351] = vX_[329] * vX_[339] + vX_[316] * vX_[349];
+ vX_[352] = vX_[340] * vX_[235] + vX_[350] * vX_[316] - vX_[351];
+ vX_[353] = cos(x_in[6]);
+ vX_[354] = -0.207 * vX_[353];
+ vX_[355] = -1 * vX_[354];
+ vX_[356] = sin(x_in[7]);
+ vX_[357] = cos(x_in[8]);
+ vX_[358] = 8.81e-05 * vX_[357];
+ vX_[359] = sin(x_in[8]);
+ vX_[360] = 0 - vX_[359];
+ vX_[361] = -8.81e-05 * vX_[360];
+ vX_[362] = 0.35 * vX_[359];
+ vX_[363] = -8.81e-05 * vX_[362];
+ vX_[364] = 2. * vX_[363];
+ vX_[365] = -0.35 * vX_[357];
+ vX_[366] = 0 - 8.81e-05 * vX_[365];
+ vX_[367] = 2. * vX_[366];
+ vX_[363] = 0 - vX_[363];
+ vX_[368] = 0.000102 + vX_[364] * vX_[360] + vX_[367] * vX_[357] - vX_[357] * vX_[366] - vX_[359] * vX_[363];
+ vX_[369] = 0.00185880198235362 * vX_[362] - 0.414812462825713 * vX_[365];
+ vX_[370] = 0.881 * vX_[365];
+ vX_[371] = -0.1104774 + vX_[370];
+ vX_[372] = vX_[369] + vX_[371];
+ vX_[373] = 0.880992588508842 * vX_[362] - 0.00185880198235362 * vX_[365];
+ vX_[374] = 0 - 0.881 * vX_[362];
+ vX_[375] = 0.0004405 + vX_[374];
+ vX_[376] = vX_[373] + vX_[375];
+ vX_[371] = 0 - vX_[371];
+ vX_[377] = vX_[359] * vX_[371] + vX_[357] * vX_[375];
+ vX_[378] = 0.0825825 + vX_[372] * vX_[360] + vX_[376] * vX_[357] - vX_[377];
+ vX_[379] = vX_[373] * vX_[362] - vX_[369] * vX_[365];
+ vX_[380] = 0.089871 + vX_[379];
+ vX_[381] = vX_[378] / vX_[380];
+ vX_[382] = vX_[358] * vX_[360] + vX_[361] * vX_[357] - vX_[368] * vX_[381];
+ vX_[383] = cos(x_in[7]);
+ vX_[384] = 8.81e-05 * vX_[359];
+ vX_[385] = -8.81e-05 * vX_[357];
+ vX_[386] = 2.1e-05 + vX_[364] * vX_[357] + vX_[367] * vX_[359] + vX_[360] * vX_[366] + vX_[357] * vX_[363];
+ vX_[387] = vX_[384] * vX_[360] + vX_[385] * vX_[357] - vX_[386] * vX_[381];
+ vX_[388] = vX_[356] * vX_[382] + vX_[383] * vX_[387];
+ vX_[389] = vX_[357] * vX_[371] + vX_[360] * vX_[375];
+ vX_[390] = 0.47422804 + vX_[372] * vX_[357] + vX_[376] * vX_[359] + vX_[389];
+ vX_[391] = vX_[390] / vX_[380];
+ vX_[392] = vX_[358] * vX_[357] + vX_[361] * vX_[359] - vX_[368] * vX_[391];
+ vX_[393] = vX_[384] * vX_[357] + vX_[385] * vX_[359] - vX_[386] * vX_[391];
+ vX_[394] = vX_[356] * vX_[392] + vX_[383] * vX_[393];
+ vX_[395] = 0 - vX_[356];
+ vX_[396] = vX_[388] * vX_[383] + vX_[394] * vX_[395];
+ vX_[397] = -0.08 * vX_[383];
+ vX_[398] = 4.027 * vX_[397];
+ vX_[389] = -0.47422804 - vX_[389];
+ vX_[399] = vX_[398] + vX_[389];
+ vX_[400] = 0 - vX_[399];
+ vX_[401] = -0.08 * vX_[356];
+ vX_[402] = -1 * vX_[401];
+ vX_[403] = 0 - 4.027 * vX_[402];
+ vX_[377] = -0.0825825 + vX_[377];
+ vX_[404] = vX_[403] + vX_[377];
+ vX_[405] = vX_[383] * vX_[400] + vX_[395] * vX_[404];
+ vX_[406] = 0.1466472 + vX_[405];
+ vX_[407] = -7.4114911576828e-06 * vX_[359] + 0.00185880198235362 * vX_[357];
+ vX_[408] = 0.00185880198235362 * vX_[359] + -0.466187537174287 * vX_[357];
+ vX_[409] = vX_[407] * vX_[359] + vX_[408] * vX_[357];
+ vX_[410] = 3.56080505133456 - vX_[409] - vX_[378] * vX_[381];
+ vX_[411] = vX_[408] * vX_[360] + vX_[407] * vX_[357] - vX_[378] * vX_[391];
+ vX_[412] = vX_[402] * vX_[410] - vX_[397] * vX_[411];
+ vX_[409] = 4.027 + vX_[409] - vX_[390] * vX_[391];
+ vX_[413] = vX_[402] * vX_[411] - vX_[397] * vX_[409];
+ vX_[414] = vX_[412] * vX_[402] - vX_[413] * vX_[397];
+ vX_[415] = 0.026409 + -0.2209548 * vX_[365] + vX_[370] * vX_[365] - vX_[379];
+ vX_[416] = 0.000468 - 0.000881 * vX_[362] - vX_[374] * vX_[362] - vX_[379];
+ vX_[417] = 0.0004405 * vX_[365] + vX_[374] * vX_[365] - -0.1104774 * vX_[362];
+ vX_[418] = vX_[359] * vX_[416] + vX_[357] * vX_[417];
+ vX_[419] = vX_[359] * vX_[417] + vX_[357] * vX_[415];
+ vX_[420] = vX_[418] * vX_[359] + vX_[419] * vX_[357];
+ vX_[421] = vX_[368] / vX_[380];
+ vX_[422] = 0.005495 + vX_[415] + vX_[416] + vX_[379] - vX_[420] - vX_[368] * vX_[421];
+ vX_[423] = 2. * vX_[377];
+ vX_[424] = vX_[422] - vX_[423] * vX_[402] - vX_[403] * vX_[402] - vX_[414];
+ vX_[425] = vX_[386] / vX_[380];
+ vX_[426] = 0.007418 + vX_[419] * vX_[360] + vX_[418] * vX_[357] - vX_[368] * vX_[425];
+ vX_[427] = vX_[426] + vX_[377] * vX_[397] + vX_[403] * vX_[397] - vX_[389] * vX_[402];
+ vX_[428] = vX_[356] * vX_[424] + vX_[383] * vX_[427];
+ vX_[429] = 2. * vX_[389];
+ vX_[420] = 0.087136 + vX_[379] + vX_[420] - vX_[386] * vX_[425];
+ vX_[379] = vX_[429] * vX_[397] + vX_[420] + vX_[398] * vX_[397] - vX_[414];
+ vX_[430] = vX_[356] * vX_[427] + vX_[383] * vX_[379];
+ vX_[431] = vX_[428] * vX_[356] + vX_[430] * vX_[383];
+ vX_[432] = 0.011033 + vX_[414] + vX_[431];
+ vX_[433] = vX_[406] / vX_[432];
+ vX_[434] = 0 - vX_[396] * vX_[433];
+ vX_[435] = sin(x_in[6]);
+ vX_[436] = 0.207 * vX_[435];
+ vX_[437] = 7.467 - vX_[406] * vX_[433];
+ vX_[438] = vX_[355] * vX_[434] - vX_[436] * vX_[437];
+ vX_[439] = vX_[410] - 4.027;
+ vX_[440] = vX_[356] * vX_[439] + vX_[383] * vX_[411];
+ vX_[441] = vX_[409] - 4.027;
+ vX_[442] = vX_[356] * vX_[411] + vX_[383] * vX_[441];
+ vX_[443] = vX_[440] * vX_[356] + vX_[442] * vX_[383];
+ vX_[444] = vX_[388] * vX_[356] + vX_[394] * vX_[383];
+ vX_[445] = vX_[444] / vX_[432];
+ vX_[446] = 7.467 + vX_[443] - vX_[444] * vX_[445];
+ vX_[447] = 0 - vX_[435];
+ vX_[448] = -0.3735 * vX_[435];
+ vX_[449] = 0 - vX_[353];
+ vX_[450] = -0.3735 * vX_[353];
+ vX_[451] = vX_[447] * vX_[448] + vX_[449] * vX_[450];
+ vX_[452] = vX_[442] * vX_[395] + vX_[440] * vX_[383] - vX_[396] * vX_[445];
+ vX_[453] = vX_[436] * vX_[446] - vX_[451] * vX_[452];
+ vX_[399] = -1 * (vX_[413] + vX_[399]);
+ vX_[454] = -1 * (vX_[412] + vX_[404]);
+ vX_[455] = vX_[382] * vX_[402] - vX_[392] * vX_[397];
+ vX_[456] = vX_[387] * vX_[402] - vX_[393] * vX_[397];
+ vX_[457] = 0 - vX_[456];
+ vX_[458] = -5.1e-05 + vX_[395] * vX_[455] + vX_[383] * vX_[457];
+ vX_[405] = -0.1466472 + vX_[399] * vX_[383] + vX_[454] * vX_[356] - vX_[405] - vX_[458] * vX_[445];
+ vX_[459] = vX_[453] + vX_[405];
+ vX_[460] = -1 * (vX_[438] + vX_[459]);
+ vX_[461] = vX_[396] / vX_[432];
+ vX_[443] = 7.467 + vX_[441] + vX_[439] - vX_[443] - vX_[396] * vX_[461];
+ vX_[462] = vX_[355] * vX_[443] - vX_[436] * vX_[434];
+ vX_[463] = 0 - vX_[406] * vX_[445];
+ vX_[464] = vX_[451] * vX_[463] - vX_[355] * vX_[446];
+ vX_[465] = vX_[383] * vX_[392] + vX_[395] * vX_[393];
+ vX_[466] = vX_[383] * vX_[382] + vX_[395] * vX_[387];
+ vX_[467] = -0.022734 + vX_[430] * vX_[395] + vX_[428] * vX_[383];
+ vX_[468] = vX_[465] * vX_[383] + vX_[466] * vX_[356] - vX_[467] * vX_[445];
+ vX_[469] = vX_[464] + vX_[468];
+ vX_[470] = -1 * (vX_[462] + vX_[469]);
+ vX_[459] = 0 - vX_[459];
+ vX_[471] = vX_[449] * vX_[459] + vX_[435] * vX_[469];
+ vX_[472] = vX_[460] * vX_[449] + vX_[470] * vX_[447] - vX_[471];
+ vX_[473] = 2. * vX_[52];
+ vX_[474] = vX_[110] / vX_[0];
+ vX_[475] = 0.144171 + vX_[61] - vX_[110] * vX_[474];
+ vX_[476] = vX_[65] * vX_[51] + vX_[4] * vX_[68];
+ vX_[477] = 0.5824264 + vX_[85] * vX_[65] + vX_[106] * vX_[9] + vX_[476] - vX_[110] * vX_[113];
+ vX_[478] = 2. * vX_[477];
+ vX_[479] = vX_[89] * vX_[104] - vX_[103] * vX_[96];
+ vX_[480] = vX_[114] * vX_[5] - vX_[91] * vX_[89];
+ vX_[481] = vX_[473] * vX_[89] + vX_[475] + vX_[105] * vX_[89] - vX_[478] * vX_[103] - vX_[479] * vX_[103] - vX_[480];
+ vX_[476] = -0.5824264 - vX_[476] - vX_[119] * vX_[86];
+ vX_[482] = 2. * vX_[476];
+ vX_[483] = vX_[119] / vX_[0];
+ vX_[53] = 0.134705 + vX_[42] + vX_[38] + vX_[61] - vX_[53] - vX_[119] * vX_[483];
+ vX_[61] = vX_[103] * vX_[90] - vX_[5] * vX_[115];
+ vX_[484] = 2. * vX_[120];
+ vX_[485] = vX_[482] * vX_[103] + vX_[53] + vX_[61] * vX_[103] - vX_[484] * vX_[5] - vX_[116] * vX_[5] - vX_[480];
+ vX_[486] = 2. * vX_[167];
+ vX_[487] = vX_[220] / vX_[194];
+ vX_[488] = 0.144171 + vX_[176] - vX_[220] * vX_[487];
+ vX_[489] = vX_[128] * vX_[162] + vX_[148] * vX_[166];
+ vX_[490] = -0.5824264 + vX_[161] * vX_[157] + vX_[216] * vX_[148] + vX_[489] - vX_[220] * vX_[223];
+ vX_[491] = 2. * vX_[490];
+ vX_[492] = vX_[198] * vX_[214] - vX_[213] * vX_[205];
+ vX_[493] = vX_[224] * vX_[127] - vX_[200] * vX_[198];
+ vX_[494] = vX_[486] * vX_[198] + vX_[488] + vX_[215] * vX_[198] - vX_[491] * vX_[213] - vX_[492] * vX_[213] - vX_[493];
+ vX_[489] = 0.5824264 - vX_[489] - vX_[229] * vX_[195];
+ vX_[495] = 2. * vX_[489];
+ vX_[496] = vX_[229] / vX_[194];
+ vX_[193] = 0.134705 + vX_[144] + vX_[186] + vX_[176] - vX_[193] - vX_[229] * vX_[496];
+ vX_[176] = vX_[213] * vX_[199] - vX_[127] * vX_[225];
+ vX_[497] = 2. * vX_[230];
+ vX_[498] = vX_[495] * vX_[213] + vX_[193] + vX_[176] * vX_[213] - vX_[497] * vX_[127] - vX_[226] * vX_[127] - vX_[493];
+ vX_[499] = 2. * vX_[286];
+ vX_[500] = vX_[338] / vX_[313];
+ vX_[501] = 0.144171 + vX_[295] - vX_[338] * vX_[500];
+ vX_[502] = vX_[238] * vX_[282] + vX_[266] * vX_[285];
+ vX_[503] = -0.5824264 + vX_[281] * vX_[238] + vX_[334] * vX_[265] + vX_[502] - vX_[338] * vX_[341];
+ vX_[504] = 2. * vX_[503];
+ vX_[505] = vX_[317] * vX_[332] - vX_[331] * vX_[324];
+ vX_[506] = vX_[342] * vX_[236] - vX_[319] * vX_[317];
+ vX_[507] = vX_[499] * vX_[317] + vX_[501] + vX_[333] * vX_[317] - vX_[504] * vX_[331] - vX_[505] * vX_[331] - vX_[506];
+ vX_[502] = 0.5824264 - vX_[502] - vX_[347] * vX_[314];
+ vX_[508] = 2. * vX_[502];
+ vX_[509] = vX_[347] / vX_[313];
+ vX_[312] = 0.134705 + vX_[261] + vX_[305] + vX_[295] - vX_[312] - vX_[347] * vX_[509];
+ vX_[295] = vX_[331] * vX_[318] - vX_[236] * vX_[343];
+ vX_[510] = 2. * vX_[348];
+ vX_[511] = vX_[508] * vX_[331] + vX_[312] + vX_[295] * vX_[331] - vX_[510] * vX_[236] - vX_[344] * vX_[236] - vX_[506];
+ vX_[512] = 2. * vX_[405];
+ vX_[513] = vX_[458] / vX_[432];
+ vX_[514] = 0.144171 + vX_[414] - vX_[458] * vX_[513];
+ vX_[515] = vX_[356] * vX_[400] + vX_[383] * vX_[404];
+ vX_[516] = 0.5824264 + vX_[399] * vX_[395] + vX_[454] * vX_[383] + vX_[515] - vX_[458] * vX_[461];
+ vX_[517] = 2. * vX_[516];
+ vX_[518] = vX_[436] * vX_[452] - vX_[451] * vX_[443];
+ vX_[519] = vX_[462] * vX_[355] - vX_[438] * vX_[436];
+ vX_[520] = vX_[512] * vX_[436] + vX_[514] + vX_[453] * vX_[436] - vX_[517] * vX_[451] - vX_[518] * vX_[451] - vX_[519];
+ vX_[515] = -0.5824264 - vX_[515] - vX_[467] * vX_[433];
+ vX_[521] = 2. * vX_[515];
+ vX_[522] = vX_[467] / vX_[432];
+ vX_[431] = 0.134705 + vX_[379] + vX_[424] + vX_[414] - vX_[431] - vX_[467] * vX_[522];
+ vX_[414] = vX_[451] * vX_[437] - vX_[355] * vX_[463];
+ vX_[523] = 2. * vX_[468];
+ vX_[524] = vX_[521] * vX_[451] + vX_[431] + vX_[414] * vX_[451] - vX_[523] * vX_[355] - vX_[464] * vX_[355] - vX_[519];
+ vX_[525] = 0 - vX_[110] * vX_[86];
+ vX_[108] = 2. * vX_[108];
+ vX_[526] = 2. * vX_[107];
+ vX_[527] = -3.6e-05 + vX_[108] * vX_[65] + vX_[526] * vX_[9] + vX_[4] * vX_[107] + vX_[65] * vX_[109] - vX_[119] * vX_[474];
+ vX_[528] = vX_[117] * vX_[65] + vX_[118] * vX_[9] - vX_[119] * vX_[113];
+ vX_[529] = vX_[103] * vX_[87];
+ vX_[530] = vX_[5] * vX_[104];
+ vX_[531] = vX_[529] - vX_[530];
+ vX_[532] = vX_[525] * vX_[103] + vX_[527] + vX_[120] * vX_[89] + vX_[116] * vX_[89] - vX_[528] * vX_[103] - vX_[52] * vX_[5] - vX_[531] * vX_[103];
+ vX_[533] = vX_[88] * vX_[485] + vX_[50] * vX_[532];
+ vX_[534] = vX_[88] * vX_[532];
+ vX_[535] = vX_[534] + vX_[50] * vX_[481];
+ vX_[536] = vX_[533] * vX_[88] + vX_[535] * vX_[50];
+ vX_[534] = vX_[101] * vX_[485] + vX_[534];
+ vX_[537] = vX_[101] * vX_[532] + vX_[88] * vX_[481];
+ vX_[538] = vX_[534] * vX_[101] + vX_[537] * vX_[88];
+ vX_[539] = 0 - vX_[220] * vX_[195];
+ vX_[218] = -1 * 2. * vX_[218];
+ vX_[540] = -1 * 2. * vX_[217];
+ vX_[541] = 3.6e-05 + vX_[218] * vX_[157] + vX_[540] * vX_[148] + vX_[148] * vX_[217] + vX_[128] * vX_[219] - vX_[229] * vX_[487];
+ vX_[542] = vX_[227] * vX_[157] + vX_[228] * vX_[148] - vX_[229] * vX_[223];
+ vX_[543] = vX_[213] * vX_[196];
+ vX_[544] = vX_[127] * vX_[214];
+ vX_[545] = vX_[543] - vX_[544];
+ vX_[546] = vX_[539] * vX_[213] + vX_[541] + vX_[230] * vX_[198] + vX_[226] * vX_[198] - vX_[542] * vX_[213] - vX_[167] * vX_[127] - vX_[545] * vX_[213];
+ vX_[547] = vX_[211] * vX_[546];
+ vX_[548] = vX_[209] * vX_[498] + vX_[547];
+ vX_[549] = vX_[209] * vX_[546] + vX_[211] * vX_[494];
+ vX_[550] = vX_[548] * vX_[209] + vX_[549] * vX_[211];
+ vX_[551] = vX_[211] * vX_[498] + vX_[197] * vX_[546];
+ vX_[547] = vX_[547] + vX_[197] * vX_[494];
+ vX_[552] = vX_[551] * vX_[211] + vX_[547] * vX_[197];
+ vX_[553] = 0 - vX_[338] * vX_[314];
+ vX_[336] = 2. * vX_[336];
+ vX_[554] = 2. * vX_[335];
+ vX_[555] = 3.6e-05 + vX_[336] * vX_[238] + vX_[554] * vX_[265] + vX_[266] * vX_[335] + vX_[238] * vX_[337] - vX_[347] * vX_[500];
+ vX_[556] = vX_[345] * vX_[238] + vX_[346] * vX_[265] - vX_[347] * vX_[341];
+ vX_[557] = vX_[331] * vX_[315];
+ vX_[558] = vX_[236] * vX_[332];
+ vX_[559] = vX_[557] - vX_[558];
+ vX_[560] = vX_[553] * vX_[331] + vX_[555] + vX_[348] * vX_[317] + vX_[344] * vX_[317] - vX_[556] * vX_[331] - vX_[286] * vX_[236] - vX_[559] * vX_[331];
+ vX_[561] = vX_[316] * vX_[511] + vX_[235] * vX_[560];
+ vX_[562] = vX_[316] * vX_[560];
+ vX_[563] = vX_[562] + vX_[235] * vX_[507];
+ vX_[564] = vX_[561] * vX_[316] + vX_[563] * vX_[235];
+ vX_[562] = vX_[329] * vX_[511] + vX_[562];
+ vX_[565] = vX_[329] * vX_[560] + vX_[316] * vX_[507];
+ vX_[566] = vX_[562] * vX_[329] + vX_[565] * vX_[316];
+ vX_[567] = 0 - vX_[458] * vX_[433];
+ vX_[456] = -1 * 2. * vX_[456];
+ vX_[568] = -1 * 2. * vX_[455];
+ vX_[569] = -3.6e-05 + vX_[456] * vX_[395] + vX_[568] * vX_[383] + vX_[383] * vX_[455] + vX_[356] * vX_[457] - vX_[467] * vX_[513];
+ vX_[570] = vX_[465] * vX_[395] + vX_[466] * vX_[383] - vX_[467] * vX_[461];
+ vX_[571] = vX_[451] * vX_[434];
+ vX_[572] = vX_[355] * vX_[452];
+ vX_[573] = vX_[571] - vX_[572];
+ vX_[574] = vX_[567] * vX_[451] + vX_[569] + vX_[468] * vX_[436] + vX_[464] * vX_[436] - vX_[570] * vX_[451] - vX_[405] * vX_[355] - vX_[573] * vX_[451];
+ vX_[575] = vX_[449] * vX_[574];
+ vX_[576] = vX_[447] * vX_[524] + vX_[575];
+ vX_[577] = vX_[447] * vX_[574] + vX_[449] * vX_[520];
+ vX_[578] = vX_[576] * vX_[447] + vX_[577] * vX_[449];
+ vX_[579] = vX_[449] * vX_[524] + vX_[435] * vX_[574];
+ vX_[575] = vX_[575] + vX_[435] * vX_[520];
+ vX_[580] = vX_[579] * vX_[449] + vX_[575] * vX_[435];
+ vX_[581] = 1.209488 + vX_[481] + vX_[485] + vX_[480] + vX_[494] + vX_[498] + vX_[493] + vX_[507] + vX_[511] + vX_[506] + vX_[520] + vX_[524] + vX_[519] - vX_[536] - vX_[538] - vX_[550] - vX_[552] - vX_[564] - vX_[566] - vX_[578] - vX_[580];
+ vX_[582] = (-2.0678571 + vX_[124] + vX_[234] + vX_[352] + vX_[472]) / vX_[581];
+ vX_[583] = vX_[89] * vX_[115];
+ vX_[529] = vX_[583] - vX_[529];
+ vX_[584] = vX_[525] * vX_[89] + vX_[529] * vX_[89] - vX_[477] * vX_[5] - vX_[479] * vX_[5];
+ vX_[585] = vX_[528] * vX_[5] + vX_[531] * vX_[5] - vX_[476] * vX_[89] - vX_[61] * vX_[89];
+ vX_[586] = vX_[101] * vX_[584] + vX_[88] * vX_[585];
+ vX_[587] = vX_[198] * vX_[225];
+ vX_[543] = vX_[587] - vX_[543];
+ vX_[588] = vX_[539] * vX_[198] + vX_[543] * vX_[198] - vX_[490] * vX_[127] - vX_[492] * vX_[127];
+ vX_[589] = vX_[542] * vX_[127] + vX_[545] * vX_[127] - vX_[489] * vX_[198] - vX_[176] * vX_[198];
+ vX_[590] = vX_[211] * vX_[588] + vX_[197] * vX_[589];
+ vX_[591] = vX_[317] * vX_[343];
+ vX_[557] = vX_[591] - vX_[557];
+ vX_[592] = vX_[553] * vX_[317] + vX_[557] * vX_[317] - vX_[503] * vX_[236] - vX_[505] * vX_[236];
+ vX_[593] = vX_[556] * vX_[236] + vX_[559] * vX_[236] - vX_[502] * vX_[317] - vX_[295] * vX_[317];
+ vX_[594] = vX_[329] * vX_[592] + vX_[316] * vX_[593];
+ vX_[595] = vX_[436] * vX_[463];
+ vX_[571] = vX_[595] - vX_[571];
+ vX_[596] = vX_[567] * vX_[436] + vX_[571] * vX_[436] - vX_[516] * vX_[355] - vX_[518] * vX_[355];
+ vX_[597] = vX_[570] * vX_[355] + vX_[573] * vX_[355] - vX_[515] * vX_[436] - vX_[414] * vX_[436];
+ vX_[598] = vX_[449] * vX_[596] + vX_[435] * vX_[597];
+ vX_[599] = (-0.00571 + vX_[586] + vX_[590] + vX_[594] + vX_[598]) / vX_[581];
+ vX_[600] = 0 - vX_[599];
+ vX_[601] = vX_[176] + vX_[489];
+ vX_[587] = vX_[544] - vX_[587];
+ vX_[544] = vX_[539] + vX_[543] - vX_[587];
+ vX_[602] = vX_[209] * vX_[601] + vX_[211] * vX_[544];
+ vX_[603] = vX_[542] + vX_[545] - vX_[587];
+ vX_[604] = vX_[492] + vX_[490];
+ vX_[605] = vX_[209] * vX_[603] + vX_[211] * vX_[604];
+ vX_[606] = vX_[602] * vX_[211] + vX_[605] * vX_[209] + vX_[587];
+ vX_[607] = vX_[61] + vX_[476];
+ vX_[583] = vX_[530] - vX_[583];
+ vX_[530] = vX_[525] + vX_[529] - vX_[583];
+ vX_[608] = vX_[88] * vX_[607] + vX_[50] * vX_[530];
+ vX_[609] = vX_[528] + vX_[531] - vX_[583];
+ vX_[610] = vX_[479] + vX_[477];
+ vX_[611] = vX_[88] * vX_[609] + vX_[50] * vX_[610];
+ vX_[612] = vX_[608] * vX_[50] + vX_[611] * vX_[88] + vX_[583];
+ vX_[613] = vX_[295] + vX_[502];
+ vX_[591] = vX_[558] - vX_[591];
+ vX_[558] = vX_[553] + vX_[557] - vX_[591];
+ vX_[614] = vX_[316] * vX_[613] + vX_[235] * vX_[558];
+ vX_[615] = vX_[556] + vX_[559] - vX_[591];
+ vX_[616] = vX_[505] + vX_[503];
+ vX_[617] = vX_[316] * vX_[615] + vX_[235] * vX_[616];
+ vX_[618] = vX_[614] * vX_[235] + vX_[617] * vX_[316] + vX_[591];
+ vX_[619] = vX_[414] + vX_[515];
+ vX_[595] = vX_[572] - vX_[595];
+ vX_[572] = vX_[567] + vX_[571] - vX_[595];
+ vX_[620] = vX_[447] * vX_[619] + vX_[449] * vX_[572];
+ vX_[621] = vX_[570] + vX_[573] - vX_[595];
+ vX_[622] = vX_[518] + vX_[516];
+ vX_[623] = vX_[447] * vX_[621] + vX_[449] * vX_[622];
+ vX_[624] = vX_[620] * vX_[449] + vX_[623] * vX_[447] + vX_[595];
+ vX_[598] = -0.00571 + vX_[586] + vX_[590] + vX_[594] + vX_[598];
+ vX_[578] = 5.5837 + vX_[480] + vX_[536] + vX_[493] + vX_[550] + vX_[506] + vX_[564] + vX_[519] + vX_[578] - vX_[598] * vX_[599];
+ vX_[564] = (vX_[606] + vX_[612] + vX_[618] + vX_[624] - vX_[598] * vX_[582]) / vX_[578];
+ vX_[550] = 0 - vX_[50] * vX_[585] - vX_[88] * vX_[584];
+ vX_[536] = 0 - vX_[211] * vX_[589] - vX_[209] * vX_[588];
+ vX_[594] = 0 - vX_[235] * vX_[593] - vX_[316] * vX_[592];
+ vX_[590] = 0 - vX_[449] * vX_[597] - vX_[447] * vX_[596];
+ vX_[586] = (0.190812 + vX_[550] + vX_[536] + vX_[594] + vX_[590]) / vX_[581];
+ vX_[625] = 0 - vX_[599];
+ vX_[626] = vX_[534] * vX_[88] + vX_[537] * vX_[50];
+ vX_[627] = vX_[551] * vX_[209] + vX_[547] * vX_[211];
+ vX_[628] = vX_[562] * vX_[316] + vX_[565] * vX_[235];
+ vX_[629] = vX_[579] * vX_[447] + vX_[575] * vX_[449];
+ vX_[630] = (0.012668 + vX_[626] + vX_[627] + vX_[628] + vX_[629] - vX_[598] * vX_[586]) / vX_[578];
+ vX_[631] = vX_[586] + vX_[625] * vX_[630];
+ vX_[632] = 0 - vX_[631];
+ vX_[633] = vX_[101] * vX_[609] + vX_[88] * vX_[610];
+ vX_[634] = vX_[101] * vX_[607] + vX_[88] * vX_[530];
+ vX_[635] = vX_[633] * vX_[88] + vX_[634] * vX_[50];
+ vX_[636] = vX_[211] * vX_[603] + vX_[197] * vX_[604];
+ vX_[637] = vX_[211] * vX_[601] + vX_[197] * vX_[544];
+ vX_[638] = vX_[636] * vX_[209] + vX_[637] * vX_[211];
+ vX_[639] = vX_[329] * vX_[615] + vX_[316] * vX_[616];
+ vX_[640] = vX_[329] * vX_[613] + vX_[316] * vX_[558];
+ vX_[641] = vX_[639] * vX_[316] + vX_[640] * vX_[235];
+ vX_[642] = vX_[449] * vX_[621] + vX_[435] * vX_[622];
+ vX_[643] = vX_[449] * vX_[619] + vX_[435] * vX_[572];
+ vX_[644] = vX_[642] * vX_[447] + vX_[643] * vX_[449];
+ vX_[590] = 0.190812 + vX_[550] + vX_[536] + vX_[594] + vX_[590];
+ vX_[629] = 0.012668 + vX_[626] + vX_[627] + vX_[628] + vX_[629] - vX_[590] * vX_[599];
+ vX_[580] = 6.056973 + vX_[480] + vX_[538] + vX_[493] + vX_[552] + vX_[506] + vX_[566] + vX_[519] + vX_[580] - vX_[629] * vX_[630] - vX_[590] * vX_[586];
+ vX_[566] = (-1.1915559 + vX_[635] + vX_[638] + vX_[641] + vX_[644] - vX_[629] * vX_[564] - vX_[590] * vX_[582]) / vX_[580];
+ vX_[552] = (vX_[587] + vX_[583] + vX_[591] + vX_[595]) / vX_[581];
+ vX_[538] = 0 - vX_[599];
+ vX_[519] = (2.0678571 + vX_[123] + vX_[233] + vX_[351] + vX_[471] - vX_[598] * vX_[552]) / vX_[578];
+ vX_[506] = 0 - vX_[631];
+ vX_[493] = vX_[88] * vX_[111] + vX_[50] * vX_[121];
+ vX_[480] = 0 - vX_[493];
+ vX_[628] = vX_[209] * vX_[221] + vX_[211] * vX_[231];
+ vX_[627] = 0 - vX_[628];
+ vX_[626] = vX_[316] * vX_[339] + vX_[235] * vX_[349];
+ vX_[594] = 0 - vX_[626];
+ vX_[536] = vX_[447] * vX_[459] + vX_[449] * vX_[469];
+ vX_[550] = 0 - vX_[536];
+ vX_[645] = (0.0053433 + vX_[480] + vX_[627] + vX_[594] + vX_[550] - vX_[629] * vX_[519] - vX_[590] * vX_[552]) / vX_[580];
+ vX_[646] = vX_[552] + vX_[538] * vX_[519] + vX_[506] * vX_[645];
+ vX_[647] = 0 - vX_[646];
+ vX_[648] = 0 - vX_[225];
+ vX_[649] = vX_[211] * vX_[648] + vX_[197] * vX_[214];
+ vX_[650] = 0 - vX_[115];
+ vX_[651] = vX_[101] * vX_[650] + vX_[88] * vX_[104];
+ vX_[652] = 0 - vX_[343];
+ vX_[653] = vX_[329] * vX_[652] + vX_[316] * vX_[332];
+ vX_[654] = 0 - vX_[463];
+ vX_[655] = vX_[449] * vX_[654] + vX_[435] * vX_[452];
+ vX_[656] = vX_[587] + vX_[583] + vX_[591] + vX_[595];
+ vX_[471] = 2.0678571 + vX_[123] + vX_[233] + vX_[351] + vX_[471] - vX_[656] * vX_[599];
+ vX_[550] = 0.0053433 + vX_[480] + vX_[627] + vX_[594] + vX_[550] - vX_[471] * vX_[630] - vX_[656] * vX_[586];
+ vX_[594] = vX_[90] - vX_[99];
+ vX_[627] = vX_[96] - vX_[99];
+ vX_[480] = vX_[199] - vX_[208];
+ vX_[351] = vX_[205] - vX_[208];
+ vX_[233] = vX_[318] - vX_[327];
+ vX_[123] = vX_[324] - vX_[327];
+ vX_[657] = vX_[437] - vX_[446];
+ vX_[658] = vX_[443] - vX_[446];
+ vX_[659] = vX_[88] * vX_[627] + vX_[50] * vX_[87];
+ vX_[660] = vX_[88] * vX_[87];
+ vX_[661] = vX_[660] + vX_[50] * vX_[594];
+ vX_[662] = vX_[659] * vX_[88] + vX_[661] * vX_[50];
+ vX_[660] = vX_[101] * vX_[627] + vX_[660];
+ vX_[663] = vX_[101] * vX_[87] + vX_[88] * vX_[594];
+ vX_[664] = vX_[660] * vX_[101] + vX_[663] * vX_[88];
+ vX_[665] = vX_[211] * vX_[196];
+ vX_[666] = vX_[209] * vX_[351] + vX_[665];
+ vX_[667] = vX_[209] * vX_[196] + vX_[211] * vX_[480];
+ vX_[668] = vX_[666] * vX_[209] + vX_[667] * vX_[211];
+ vX_[669] = vX_[211] * vX_[351] + vX_[197] * vX_[196];
+ vX_[665] = vX_[665] + vX_[197] * vX_[480];
+ vX_[670] = vX_[669] * vX_[211] + vX_[665] * vX_[197];
+ vX_[671] = vX_[316] * vX_[123] + vX_[235] * vX_[315];
+ vX_[672] = vX_[316] * vX_[315];
+ vX_[673] = vX_[672] + vX_[235] * vX_[233];
+ vX_[674] = vX_[671] * vX_[316] + vX_[673] * vX_[235];
+ vX_[672] = vX_[329] * vX_[123] + vX_[672];
+ vX_[675] = vX_[329] * vX_[315] + vX_[316] * vX_[233];
+ vX_[676] = vX_[672] * vX_[329] + vX_[675] * vX_[316];
+ vX_[677] = vX_[449] * vX_[434];
+ vX_[678] = vX_[447] * vX_[658] + vX_[677];
+ vX_[679] = vX_[447] * vX_[434] + vX_[449] * vX_[657];
+ vX_[680] = vX_[678] * vX_[447] + vX_[679] * vX_[449];
+ vX_[681] = vX_[449] * vX_[658] + vX_[435] * vX_[434];
+ vX_[677] = vX_[677] + vX_[435] * vX_[657];
+ vX_[682] = vX_[681] * vX_[449] + vX_[677] * vX_[435];
+ vX_[683] = 53.433 + vX_[594] + vX_[627] + vX_[99] + vX_[480] + vX_[351] + vX_[208] + vX_[233] + vX_[123] + vX_[327] + vX_[657] + vX_[658] + vX_[446] - vX_[662] - vX_[664] - vX_[668] - vX_[670] - vX_[674] - vX_[676] - vX_[680] - vX_[682] - vX_[471] * vX_[519] - vX_[656] * vX_[552] - vX_[550] * vX_[645];
+ vX_[684] = (vX_[649] + vX_[651] + vX_[653] + vX_[655] - vX_[471] * vX_[564] - vX_[656] * vX_[582] - vX_[550] * vX_[566]) / vX_[683];
+ vX_[685] = vX_[582] + vX_[600] * vX_[564] + vX_[632] * vX_[566] + vX_[647] * vX_[684];
+ vX_[493] = vX_[112] * vX_[88] + vX_[122] * vX_[101] + vX_[493];
+ vX_[628] = vX_[222] * vX_[197] + vX_[232] * vX_[211] + vX_[628];
+ vX_[626] = vX_[340] * vX_[316] + vX_[350] * vX_[329] + vX_[626];
+ vX_[536] = vX_[460] * vX_[435] + vX_[470] * vX_[449] + vX_[536];
+ vX_[686] = (-0.0053433 + vX_[493] + vX_[628] + vX_[626] + vX_[536]) / vX_[581];
+ vX_[687] = 0 - vX_[599];
+ vX_[688] = vX_[611] * vX_[101] + vX_[608] * vX_[88];
+ vX_[689] = vX_[605] * vX_[211] + vX_[602] * vX_[197];
+ vX_[690] = vX_[617] * vX_[329] + vX_[614] * vX_[316];
+ vX_[691] = vX_[623] * vX_[449] + vX_[620] * vX_[435];
+ vX_[692] = (1.1915559 + vX_[688] + vX_[689] + vX_[690] + vX_[691] - vX_[598] * vX_[686]) / vX_[578];
+ vX_[693] = 0 - vX_[631];
+ vX_[587] = vX_[637] * vX_[197] + vX_[636] * vX_[211] + vX_[587];
+ vX_[583] = vX_[634] * vX_[88] + vX_[633] * vX_[101] + vX_[583];
+ vX_[591] = vX_[640] * vX_[316] + vX_[639] * vX_[329] + vX_[591];
+ vX_[595] = vX_[643] * vX_[435] + vX_[642] * vX_[449] + vX_[595];
+ vX_[694] = (vX_[587] + vX_[583] + vX_[591] + vX_[595] - vX_[629] * vX_[692] - vX_[590] * vX_[686]) / vX_[580];
+ vX_[695] = 0 - vX_[646];
+ vX_[696] = 0 - vX_[211] * vX_[214] - vX_[209] * vX_[648];
+ vX_[697] = 0 - vX_[50] * vX_[104] - vX_[88] * vX_[650];
+ vX_[698] = 0 - vX_[235] * vX_[332] - vX_[316] * vX_[652];
+ vX_[699] = 0 - vX_[449] * vX_[452] - vX_[447] * vX_[654];
+ vX_[700] = (vX_[696] + vX_[697] + vX_[698] + vX_[699] - vX_[471] * vX_[692] - vX_[656] * vX_[686] - vX_[550] * vX_[694]) / vX_[683];
+ vX_[701] = 0 - vX_[685];
+ vX_[702] = vX_[669] * vX_[209] + vX_[665] * vX_[211];
+ vX_[703] = vX_[660] * vX_[88] + vX_[663] * vX_[50];
+ vX_[704] = vX_[672] * vX_[316] + vX_[675] * vX_[235];
+ vX_[705] = vX_[681] * vX_[447] + vX_[677] * vX_[449];
+ vX_[472] = -2.0678571 + vX_[124] + vX_[234] + vX_[352] + vX_[472];
+ vX_[624] = vX_[606] + vX_[612] + vX_[618] + vX_[624] - vX_[472] * vX_[599];
+ vX_[644] = -1.1915559 + vX_[635] + vX_[638] + vX_[641] + vX_[644] - vX_[624] * vX_[630] - vX_[472] * vX_[586];
+ vX_[655] = vX_[649] + vX_[651] + vX_[653] + vX_[655] - vX_[624] * vX_[519] - vX_[472] * vX_[552] - vX_[644] * vX_[645];
+ vX_[680] = 53.433 + vX_[99] + vX_[662] + vX_[208] + vX_[668] + vX_[327] + vX_[674] + vX_[446] + vX_[680] - vX_[624] * vX_[564] - vX_[472] * vX_[582] - vX_[644] * vX_[566] - vX_[655] * vX_[684];
+ vX_[674] = (vX_[702] + vX_[703] + vX_[704] + vX_[705] - vX_[624] * vX_[692] - vX_[472] * vX_[686] - vX_[644] * vX_[694] - vX_[655] * vX_[700]) / vX_[680];
+ vX_[536] = -0.0053433 + vX_[493] + vX_[628] + vX_[626] + vX_[536];
+ vX_[691] = 1.1915559 + vX_[688] + vX_[689] + vX_[690] + vX_[691] - vX_[536] * vX_[599];
+ vX_[595] = vX_[587] + vX_[583] + vX_[591] + vX_[595] - vX_[691] * vX_[630] - vX_[536] * vX_[586];
+ vX_[699] = vX_[696] + vX_[697] + vX_[698] + vX_[699] - vX_[691] * vX_[519] - vX_[536] * vX_[552] - vX_[595] * vX_[645];
+ vX_[705] = vX_[702] + vX_[703] + vX_[704] + vX_[705] - vX_[691] * vX_[564] - vX_[536] * vX_[582] - vX_[595] * vX_[566] - vX_[699] * vX_[684];
+ vX_[682] = 53.433 + vX_[99] + vX_[664] + vX_[208] + vX_[670] + vX_[327] + vX_[676] + vX_[446] + vX_[682] - vX_[691] * vX_[692] - vX_[536] * vX_[686] - vX_[595] * vX_[694] - vX_[699] * vX_[700] - vX_[705] * vX_[674];
+ vX_[676] = (vX_[686] + vX_[687] * vX_[692] + vX_[693] * vX_[694] + vX_[695] * vX_[700] + vX_[701] * vX_[674]) * 1 / vX_[682];
+ vX_[670] = 0 - vX_[676];
+ vX_[685] = (vX_[685] + vX_[670] * vX_[705]) * 1 / vX_[680];
+ vX_[664] = vX_[447] * x_in[19] + vX_[449] * x_in[20];
+ vX_[704] = vX_[449] * x_in[19] + vX_[435] * x_in[20];
+ vX_[703] = vX_[664] * vX_[704];
+ vX_[702] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[698] = vX_[664] * vX_[702];
+ vX_[697] = -1 * x_in[18] + x_in[24];
+ vX_[696] = -0.3735 * vX_[435];
+ vX_[591] = 0.3735 * vX_[353];
+ vX_[583] = 0 - vX_[353];
+ vX_[587] = 0 - vX_[435];
+ vX_[690] = vX_[696] * x_in[20] + vX_[591] * x_in[19] + vX_[354] * x_in[18] + vX_[583] * x_in[23] + vX_[587] * x_in[22];
+ vX_[689] = vX_[697] * vX_[690];
+ vX_[688] = vX_[704] * vX_[697];
+ vX_[626] = vX_[383] * vX_[664] + vX_[356] * vX_[697];
+ vX_[628] = -1 * vX_[704] + x_in[25];
+ vX_[493] = vX_[626] * vX_[628];
+ vX_[668] = 0 - vX_[356];
+ vX_[662] = -0.08 * vX_[383];
+ vX_[653] = vX_[383] * vX_[702] + vX_[668] * vX_[690] + vX_[662] * vX_[704];
+ vX_[651] = vX_[395] * vX_[664] + vX_[383] * vX_[697];
+ vX_[649] = vX_[356] * vX_[702] + vX_[383] * vX_[690] + vX_[401] * vX_[704];
+ vX_[641] = vX_[626] * vX_[653] - vX_[651] * vX_[649];
+ vX_[638] = vX_[651] * vX_[628];
+ vX_[635] = vX_[357] * vX_[626] + vX_[359] * vX_[651];
+ vX_[618] = 0 - vX_[359];
+ vX_[612] = 0.35 * vX_[357];
+ vX_[606] = vX_[357] * vX_[653] + vX_[618] * vX_[649] + vX_[612] * vX_[628];
+ vX_[352] = vX_[360] * vX_[626] + vX_[357] * vX_[651];
+ vX_[234] = vX_[359] * vX_[653] + vX_[357] * vX_[649] + vX_[362] * vX_[628];
+ vX_[124] = vX_[635] * vX_[606] - vX_[352] * vX_[234];
+ vX_[706] = vX_[628] + x_in[26];
+ vX_[707] = vX_[635] * vX_[706];
+ vX_[708] = vX_[352] * vX_[706];
+ vX_[709] = 0 - vX_[635];
+ vX_[710] = vX_[709] * x_in[26];
+ vX_[711] = vX_[352] * x_in[26];
+ vX_[712] = vX_[352] * vX_[352];
+ vX_[713] = vX_[635] * vX_[635];
+ vX_[714] = 0.881 * vX_[124] + 0.1104774 * vX_[707] + 0.0004405 * vX_[708] + -0.1104774 * vX_[710] + 0.0004405 * vX_[711] - -8.81e-05 * (vX_[712] + vX_[713]);
+ vX_[715] = 0 - vX_[626];
+ vX_[716] = vX_[715] * x_in[25];
+ vX_[717] = vX_[651] * x_in[25];
+ vX_[718] = 0.47422804 * vX_[493] + 3.146 * vX_[641] + -0.0825825 * vX_[638] + vX_[714] + vX_[389] * vX_[716] + vX_[377] * vX_[717];
+ vX_[719] = 0 - vX_[664];
+ vX_[720] = vX_[719] * x_in[24];
+ vX_[721] = vX_[704] * x_in[24];
+ vX_[722] = 0 - vX_[690];
+ vX_[723] = vX_[722] * x_in[24];
+ vX_[724] = 0.207 * vX_[435];
+ vX_[353] = 0 - vX_[353];
+ vX_[725] = vX_[450] * x_in[20] + vX_[448] * x_in[19] + vX_[724] * x_in[18] + vX_[435] * x_in[23] + vX_[353] * x_in[22];
+ vX_[726] = vX_[725] * x_in[24];
+ vX_[727] = vX_[664] * vX_[697];
+ vX_[728] = vX_[628] * vX_[628];
+ vX_[729] = vX_[626] * vX_[626];
+ vX_[730] = -0.08 * vX_[697] + -1 * vX_[725];
+ vX_[731] = -0.35 * vX_[651] + vX_[730];
+ vX_[732] = vX_[352] * vX_[731] - vX_[706] * vX_[606];
+ vX_[733] = vX_[606] * x_in[26];
+ vX_[734] = -8.81e-05 * vX_[732] + -8.81e-05 * vX_[733] + 0.026409 * vX_[710] - 0.1104774 * vX_[124] - 0.025713 * vX_[707];
+ vX_[735] = vX_[635] * vX_[731];
+ vX_[736] = vX_[706] * vX_[234];
+ vX_[737] = 0 - vX_[234];
+ vX_[738] = vX_[737] * x_in[26];
+ vX_[124] = 0.0004405 * vX_[124] + -8.81e-05 * (vX_[735] - vX_[736]) + -0.000227999999999999 * vX_[708] + 8.81e-05 * vX_[738] + 0.000468 * vX_[711];
+ vX_[739] = 0 - vX_[649];
+ vX_[740] = vX_[739] * x_in[25];
+ vX_[741] = vX_[653] * x_in[25];
+ vX_[742] = vX_[628] * vX_[649];
+ vX_[743] = vX_[626] * vX_[730];
+ vX_[744] = vX_[626] * vX_[651];
+ vX_[745] = vX_[635] * vX_[352];
+ vX_[746] = 0.1104774 * (vX_[736] - vX_[735]) + 0.025941 * vX_[745] - 0.0004405 * vX_[732];
+ vX_[747] = x_in[38] - vX_[746];
+ vX_[748] = vX_[706] * vX_[706];
+ vX_[736] = -0.881 * (vX_[735] - vX_[736]) + 0.1104774 * vX_[745] + -8.81e-05 * vX_[708] + 0.414812462825713 * vX_[738] + 0.00185880198235362 * vX_[733] + 8.81e-05 * vX_[711] + (0.1104774 * vX_[747]) / 0.026181 - 0.0004405 * (vX_[748] + vX_[713]);
+ vX_[748] = 0.881 * vX_[732] + -8.81e-05 * vX_[707] + 0.0004405 * vX_[745] + 0.00185880198235362 * vX_[738] + 0.880992588508842 * vX_[733] + -8.81e-05 * vX_[710] + (-0.0004405 * vX_[747]) / 0.026181 - 0.1104774 * (vX_[748] + vX_[712]);
+ vX_[745] = vX_[651] * vX_[730] - vX_[628] * vX_[653];
+ vX_[738] = vX_[651] * vX_[651];
+ vX_[747] = 0.47422804 * (vX_[742] - vX_[743]) + 0.081641 * vX_[744] + 2.1e-05 * vX_[493] + (0.026181 * vX_[747]) / 0.026181 + vX_[746] + vX_[612] * vX_[736] + vX_[362] * vX_[748] - -0.0825825 * vX_[745] - 0.000102 * vX_[638] - 0.007418 * (vX_[738] - vX_[729]);
+ vX_[746] = x_in[37] - vX_[747];
+ vX_[733] = (vX_[386] * vX_[746]) / vX_[380];
+ vX_[714] = 0.007418 * vX_[638] + 0.000102 * (vX_[728] - vX_[729]) + vX_[357] * vX_[734] + vX_[359] * vX_[124] + -0.35 * vX_[714] + vX_[420] * vX_[716] + vX_[426] * vX_[717] + vX_[393] * vX_[740] + vX_[387] * vX_[741] + vX_[733] - 0.47422804 * vX_[641] - 0.084376 * vX_[493] - 2.1e-05 * vX_[744];
+ vX_[732] = (vX_[368] * vX_[746]) / vX_[380];
+ vX_[638] = 0.002735 * vX_[638] + -0.0825825 * vX_[641] + 0.000102 * vX_[744] + vX_[360] * vX_[734] + vX_[357] * vX_[124] + vX_[426] * vX_[716] + vX_[422] * vX_[717] + vX_[392] * vX_[740] + vX_[382] * vX_[741] + vX_[732] - 0.007418 * vX_[493] - 2.1e-05 * (vX_[728] - vX_[738]);
+ vX_[641] = vX_[704] * vX_[704];
+ vX_[493] = vX_[664] * vX_[664];
+ vX_[712] = 0.009466 * vX_[703] + 0.1466472 * (vX_[689] - vX_[698]) + -5.1e-05 * vX_[727] + vX_[383] * vX_[714] + vX_[356] * vX_[638] + -0.08 * vX_[718] - -0.022734 * vX_[688] - -3.6e-05 * (vX_[641] - vX_[493]);
+ vX_[710] = x_in[36] - vX_[712];
+ vX_[707] = (vX_[406] * vX_[710]) / vX_[432];
+ vX_[718] = 0.1466472 * vX_[703] + -3.44 * (vX_[698] - vX_[689]) + 0.5824264 * vX_[688] + -1 * vX_[718] + vX_[567] * vX_[720] + vX_[515] * vX_[721] + vX_[437] * vX_[723] + vX_[434] * vX_[726] + vX_[707];
+ vX_[735] = 0 - vX_[676];
+ vX_[713] = 0 - vX_[685];
+ vX_[646] = (vX_[646] + vX_[735] * vX_[699] + vX_[713] * vX_[655]) * 1 / vX_[683];
+ vX_[711] = 0 - vX_[676];
+ vX_[708] = 0 - vX_[685];
+ vX_[749] = 0 - vX_[646];
+ vX_[631] = (vX_[631] + vX_[711] * vX_[595] + vX_[708] * vX_[644] + vX_[749] * vX_[550]) * 1 / vX_[580];
+ vX_[750] = vX_[646] * -1 + vX_[631] * 0.207;
+ vX_[751] = 0 - vX_[676];
+ vX_[752] = 0 - vX_[685];
+ vX_[753] = 0 - vX_[646];
+ vX_[754] = 0 - vX_[631];
+ vX_[755] = (vX_[599] + vX_[751] * vX_[691] + vX_[752] * vX_[624] + vX_[753] * vX_[471] + vX_[754] * vX_[629]) * 1 / vX_[578];
+ vX_[756] = 0 - vX_[676];
+ vX_[757] = 0 - vX_[685];
+ vX_[758] = 0 - vX_[646];
+ vX_[759] = 0 - vX_[631];
+ vX_[760] = 0 - vX_[755];
+ vX_[761] = (-1 + vX_[756] * vX_[536] + vX_[757] * vX_[472] + vX_[758] * vX_[656] + vX_[759] * vX_[590] + vX_[760] * vX_[598]) * 1 / vX_[581];
+ vX_[762] = vX_[676] * vX_[583] + vX_[685] * vX_[587] + vX_[631] * vX_[696] + vX_[755] * vX_[591] + vX_[761] * vX_[354];
+ vX_[763] = vX_[631] * vX_[435] + vX_[755] * vX_[449];
+ vX_[764] = vX_[750] * vX_[383] + vX_[762] * vX_[668] + vX_[763] * vX_[662];
+ vX_[765] = vX_[750] * vX_[356] + vX_[762] * vX_[383] + vX_[763] * vX_[401];
+ vX_[766] = vX_[763] * -1;
+ vX_[767] = vX_[764] * 1 / vX_[380];
+ vX_[768] = vX_[765] * 1 / vX_[380];
+ vX_[769] = vX_[766] * 1 / vX_[380];
+ vX_[770] = vX_[761] * -1;
+ vX_[771] = vX_[750] * 1 / vX_[432];
+ vX_[772] = vX_[676] * vX_[435] + vX_[685] * vX_[353] + vX_[631] * vX_[450] + vX_[755] * vX_[448] + vX_[761] * vX_[724];
+ vX_[773] = vX_[772] * 1 / vX_[432];
+ vX_[774] = vX_[762] * 1 / vX_[432];
+ vX_[775] = vX_[770] * 1 / vX_[432];
+ vX_[776] = vX_[763] * 1 / vX_[432];
+ vX_[777] = vX_[631] * vX_[449] + vX_[755] * vX_[447];
+ vX_[778] = vX_[777] * 1 / vX_[432];
+ vX_[770] = vX_[770] - (vX_[771] * vX_[444] + vX_[773] * vX_[406] + vX_[774] * vX_[396] + vX_[775] * vX_[432] + vX_[776] * vX_[458] + vX_[778] * vX_[467]);
+ vX_[779] = vX_[770] * vX_[383] + vX_[777] * vX_[395];
+ vX_[780] = vX_[779] * 1 / vX_[380];
+ vX_[781] = vX_[770] * vX_[356] + vX_[777] * vX_[383];
+ vX_[782] = vX_[781] * 1 / vX_[380];
+ vX_[766] = vX_[766] - (vX_[767] * vX_[390] + vX_[768] * vX_[378] + vX_[769] * vX_[380] + vX_[780] * vX_[386] + vX_[782] * vX_[368]);
+ vX_[783] = vX_[764] * vX_[359] + vX_[765] * vX_[357] + vX_[766] * vX_[362];
+ vX_[784] = vX_[764] * vX_[357] + vX_[765] * vX_[618] + vX_[766] * vX_[612];
+ vX_[785] = vX_[766] - (vX_[784] * 38.1956380581338 * 0.1104774 + vX_[783] * 38.1956380581338 * -0.0004405 + vX_[766] * 38.1956380581338 * 0.026181);
+ vX_[786] = vX_[779] * vX_[357] + vX_[781] * vX_[360];
+ vX_[787] = vX_[783] * 0.881 + (0 - vX_[785]) * 0.0004405 + vX_[786] * -8.81e-05;
+ vX_[788] = vX_[784] * -0.881;
+ vX_[789] = vX_[785] * 0.1104774;
+ vX_[790] = vX_[779] * vX_[359] + vX_[781] * vX_[357];
+ vX_[791] = vX_[790] * -8.81e-05;
+ vX_[792] = vX_[788] - vX_[789] + vX_[791];
+ vX_[793] = vX_[787] * vX_[352] + vX_[792] * vX_[635];
+ vX_[794] = vX_[765] * 3.146 + (0 - vX_[766]) * -0.0825825;
+ vX_[795] = vX_[764] * -3.146;
+ vX_[796] = vX_[766] * 0.47422804;
+ vX_[797] = vX_[795] - vX_[796];
+ vX_[798] = vX_[793] + vX_[794] * vX_[651] + vX_[797] * vX_[626];
+ vX_[799] = vX_[762] * 3.44 + vX_[763] * 0.5824264;
+ vX_[800] = 0 - vX_[799];
+ vX_[801] = vX_[750] * 3.44 + (0 - vX_[763]) * 0.1466472;
+ vX_[802] = vX_[750] * vX_[452] + vX_[772] * vX_[434] + vX_[762] * vX_[443] + vX_[763] * vX_[516] + vX_[777] * vX_[570];
+ vX_[803] = vX_[798] * -1 + vX_[800] * vX_[697] + vX_[801] * vX_[664] + vX_[802] * x_in[24];
+ vX_[804] = x_in[20] * x_in[21];
+ vX_[805] = x_in[18] * x_in[23];
+ vX_[806] = x_in[18] * x_in[19];
+ vX_[807] = x_in[18] * x_in[20];
+ vX_[808] = vX_[50] * x_in[19] + vX_[88] * x_in[20];
+ vX_[809] = 0.207 * x_in[20] + x_in[21];
+ vX_[810] = x_in[18] + x_in[33];
+ vX_[811] = -0.207 * vX_[88];
+ vX_[812] = vX_[102] * x_in[20] + vX_[100] * x_in[19] + vX_[811] * x_in[18] + vX_[88] * x_in[23] + vX_[50] * x_in[22];
+ vX_[813] = vX_[808] * vX_[809] - vX_[810] * vX_[812];
+ vX_[814] = vX_[808] * vX_[810];
+ vX_[815] = vX_[810] * vX_[810];
+ vX_[816] = vX_[88] * x_in[19] + vX_[101] * x_in[20];
+ vX_[817] = vX_[816] * vX_[816];
+ vX_[818] = vX_[808] + x_in[34];
+ vX_[819] = 0 - vX_[64];
+ vX_[820] = -0.3735 * vX_[88];
+ vX_[821] = -0.3735 * vX_[50];
+ vX_[822] = 0 - vX_[50];
+ vX_[823] = vX_[820] * x_in[20] + vX_[821] * x_in[19] + vX_[5] * x_in[18] + vX_[822] * x_in[23] + vX_[88] * x_in[22];
+ vX_[824] = vX_[819] * vX_[809] + vX_[9] * vX_[823] + vX_[71] * vX_[808];
+ vX_[825] = vX_[818] * vX_[824];
+ vX_[826] = vX_[9] * vX_[816] + vX_[65] * vX_[810];
+ vX_[827] = 0.08 * vX_[810] + vX_[812];
+ vX_[828] = vX_[826] * vX_[827];
+ vX_[829] = vX_[65] * vX_[816] + vX_[4] * vX_[810];
+ vX_[830] = vX_[826] * vX_[829];
+ vX_[831] = vX_[826] * vX_[818];
+ vX_[832] = vX_[818] + x_in[35];
+ vX_[833] = 0 - vX_[9];
+ vX_[64] = 0 - vX_[64];
+ vX_[834] = 0.08 * vX_[9];
+ vX_[835] = vX_[833] * vX_[809] + vX_[64] * vX_[823] + vX_[834] * vX_[808];
+ vX_[836] = vX_[62] * vX_[835] + vX_[76] * vX_[824] + vX_[77] * vX_[818];
+ vX_[837] = vX_[832] * vX_[836];
+ vX_[838] = vX_[76] * vX_[826] + vX_[62] * vX_[829];
+ vX_[839] = -0.35 * vX_[829] + vX_[827];
+ vX_[840] = vX_[838] * vX_[839];
+ vX_[841] = vX_[79] * vX_[826] + vX_[76] * vX_[829];
+ vX_[842] = vX_[838] * vX_[841];
+ vX_[843] = 0 - vX_[62];
+ vX_[844] = 0.35 * vX_[76];
+ vX_[845] = vX_[76] * vX_[835] + vX_[843] * vX_[824] + vX_[844] * vX_[818];
+ vX_[846] = vX_[841] * vX_[839] - vX_[832] * vX_[845];
+ vX_[847] = 0.1104774 * (vX_[837] - vX_[840]) + 0.025941 * vX_[842] - -0.0004405 * vX_[846];
+ vX_[848] = x_in[47] - vX_[847];
+ vX_[849] = vX_[841] * vX_[832];
+ vX_[850] = 0 - vX_[836];
+ vX_[851] = vX_[850] * x_in[35];
+ vX_[852] = vX_[845] * x_in[35];
+ vX_[853] = vX_[841] * x_in[35];
+ vX_[854] = vX_[832] * vX_[832];
+ vX_[855] = vX_[838] * vX_[838];
+ vX_[856] = -0.881 * (vX_[840] - vX_[837]) + 0.1104774 * vX_[842] + 8.81e-05 * vX_[849] + 0.414812462825713 * vX_[851] + -0.00185880198235362 * vX_[852] + -8.81e-05 * vX_[853] + (0.1104774 * vX_[848]) / 0.026181 - -0.0004405 * (vX_[854] + vX_[855]);
+ vX_[857] = vX_[838] * vX_[832];
+ vX_[858] = 0 - vX_[838];
+ vX_[859] = vX_[858] * x_in[35];
+ vX_[860] = vX_[841] * vX_[841];
+ vX_[854] = 0.881 * vX_[846] + 8.81e-05 * vX_[857] + -0.0004405 * vX_[842] + -0.00185880198235362 * vX_[851] + 0.880992588508842 * vX_[852] + 8.81e-05 * vX_[859] + (0.0004405 * vX_[848]) / 0.026181 - 0.1104774 * (vX_[854] + vX_[860]);
+ vX_[842] = vX_[829] * vX_[827] - vX_[818] * vX_[835];
+ vX_[861] = vX_[829] * vX_[818];
+ vX_[862] = vX_[829] * vX_[829];
+ vX_[863] = vX_[826] * vX_[826];
+ vX_[848] = 0.47422804 * (vX_[825] - vX_[828]) + 0.081641 * vX_[830] + 2.1e-05 * vX_[831] + (0.026181 * vX_[848]) / 0.026181 + vX_[847] + vX_[844] * vX_[856] + vX_[77] * vX_[854] - 0.0825825 * vX_[842] - -0.000102 * vX_[861] - -0.007418 * (vX_[862] - vX_[863]);
+ vX_[847] = x_in[46] - vX_[848];
+ vX_[864] = (vX_[41] * vX_[847]) / vX_[41];
+ vX_[865] = 0 - vX_[826];
+ vX_[866] = vX_[865] * x_in[34];
+ vX_[867] = vX_[829] * x_in[34];
+ vX_[868] = 0 - vX_[824];
+ vX_[869] = vX_[868] * x_in[34];
+ vX_[870] = vX_[835] * x_in[34];
+ vX_[871] = (vX_[26] * vX_[847]) / vX_[41];
+ vX_[872] = vX_[818] * vX_[818];
+ vX_[828] = -3.146 * (vX_[828] - vX_[825]) + 0.47422804 * vX_[830] + vX_[76] * vX_[856] + vX_[62] * vX_[854] + vX_[21] * vX_[866] + vX_[24] * vX_[867] + vX_[80] * vX_[869] + vX_[73] * vX_[870] + vX_[871] - 0.0825825 * (vX_[872] + vX_[863]);
+ vX_[825] = (vX_[44] * vX_[847]) / vX_[41];
+ vX_[842] = 3.146 * vX_[842] + 0.0825825 * vX_[830] + vX_[843] * vX_[856] + vX_[76] * vX_[854] + vX_[34] * vX_[866] + vX_[13] * vX_[867] + vX_[73] * vX_[869] + vX_[75] * vX_[870] + vX_[825] - 0.47422804 * (vX_[872] + vX_[862]);
+ vX_[873] = 0 - vX_[816];
+ vX_[874] = vX_[873] * x_in[33];
+ vX_[875] = vX_[808] * x_in[33];
+ vX_[876] = 0 - vX_[823];
+ vX_[877] = vX_[876] * x_in[33];
+ vX_[878] = vX_[812] * x_in[33];
+ vX_[879] = vX_[816] * vX_[808];
+ vX_[880] = vX_[810] * vX_[823];
+ vX_[881] = vX_[816] * vX_[809];
+ vX_[882] = vX_[816] * vX_[810];
+ vX_[883] = vX_[838] * vX_[845] - vX_[841] * vX_[836];
+ vX_[852] = 8.81e-05 * vX_[846] + 8.81e-05 * vX_[852] + 0.026409 * vX_[859] - 0.1104774 * vX_[883] - 0.025713 * vX_[857];
+ vX_[851] = -0.0004405 * vX_[883] + 8.81e-05 * (vX_[840] - vX_[837]) + -0.000227999999999999 * vX_[849] + -8.81e-05 * vX_[851] + 0.000468 * vX_[853];
+ vX_[883] = 0.881 * vX_[883] + 0.1104774 * vX_[857] + -0.0004405 * vX_[849] + -0.1104774 * vX_[859] + -0.0004405 * vX_[853] - 8.81e-05 * (vX_[860] + vX_[855]);
+ vX_[860] = (vX_[32] * vX_[847]) / vX_[41];
+ vX_[859] = vX_[826] * vX_[835] - vX_[829] * vX_[824];
+ vX_[863] = -0.007418 * vX_[861] + -0.000102 * (vX_[872] - vX_[863]) + vX_[76] * vX_[852] + vX_[62] * vX_[851] + -0.35 * vX_[883] + vX_[7] * vX_[866] + vX_[29] * vX_[867] + vX_[21] * vX_[869] + vX_[34] * vX_[870] + vX_[860] - 0.47422804 * vX_[859] - 0.084376 * vX_[831] - 2.1e-05 * vX_[830];
+ vX_[857] = (vX_[69] * vX_[847]) / vX_[41];
+ vX_[872] = 0.002735 * vX_[861] + 0.0825825 * vX_[859] + -0.000102 * vX_[830] + vX_[79] * vX_[852] + vX_[76] * vX_[851] + vX_[29] * vX_[866] + vX_[40] * vX_[867] + vX_[24] * vX_[869] + vX_[13] * vX_[870] + vX_[857] - -0.007418 * vX_[831] - 2.1e-05 * (vX_[872] - vX_[862]);
+ vX_[859] = 0.47422804 * vX_[831] + 3.146 * vX_[859] + 0.0825825 * vX_[861] + vX_[883] + vX_[30] * vX_[866] + vX_[43] * vX_[867];
+ vX_[883] = vX_[808] * vX_[808];
+ vX_[861] = 0.009466 * vX_[879] + 0.1466472 * (vX_[880] - vX_[881]) + -5.1e-05 * vX_[882] + vX_[4] * vX_[863] + vX_[65] * vX_[872] + 0.08 * vX_[859] - -0.022734 * vX_[814] - -3.6e-05 * (vX_[883] - vX_[817]);
+ vX_[831] = x_in[45] - vX_[861];
+ vX_[862] = (vX_[110] * vX_[831]) / vX_[0];
+ vX_[830] = vX_[816] * vX_[812] - vX_[808] * vX_[823];
+ vX_[848] = 0.5824264 * vX_[813] + -3.6e-05 * vX_[814] + -0.022734 * (vX_[815] - vX_[817]) + vX_[864] + vX_[848] + vX_[834] * vX_[828] + vX_[71] * vX_[842] + vX_[475] * vX_[874] + vX_[527] * vX_[875] + vX_[525] * vX_[877] + vX_[477] * vX_[878] + vX_[862] - 0.1466472 * vX_[830] - -0.123672 * vX_[882] - -5.1e-05 * vX_[879];
+ vX_[855] = (vX_[119] * vX_[831]) / vX_[0];
+ vX_[853] = -0.133138 * vX_[814] + 0.5824264 * (vX_[881] - vX_[880]) + -0.022734 * vX_[879] + vX_[65] * vX_[863] + vX_[9] * vX_[872] + vX_[527] * vX_[874] + vX_[53] * vX_[875] + vX_[476] * vX_[877] + vX_[528] * vX_[878] + vX_[855] - -3.6e-05 * vX_[882] - -5.1e-05 * (vX_[815] - vX_[883]);
+ vX_[849] = (vX_[97] * vX_[831]) / vX_[0];
+ vX_[830] = 3.44 * vX_[830] + 0.1466472 * vX_[882] + vX_[833] * vX_[828] + vX_[819] * vX_[842] + vX_[52] * vX_[874] + vX_[120] * vX_[875] + vX_[115] * vX_[877] + vX_[104] * vX_[878] + vX_[849] - 0.5824264 * (vX_[883] + vX_[817]);
+ vX_[817] = (vX_[27] * vX_[831]) / vX_[0];
+ vX_[859] = 0.1466472 * vX_[879] + -3.44 * (vX_[881] - vX_[880]) + 0.5824264 * vX_[814] + vX_[859] + vX_[525] * vX_[874] + vX_[476] * vX_[875] + vX_[90] * vX_[877] + vX_[87] * vX_[878] + vX_[817];
+ vX_[881] = (vX_[17] * vX_[831]) / vX_[0];
+ vX_[883] = 3.44 * vX_[813] + 0.5824264 * vX_[882] + vX_[64] * vX_[828] + vX_[9] * vX_[842] + vX_[477] * vX_[874] + vX_[528] * vX_[875] + vX_[87] * vX_[877] + vX_[96] * vX_[878] + vX_[881] - 0.1466472 * (vX_[815] + vX_[883]);
+ vX_[882] = vX_[211] * x_in[19] + vX_[197] * x_in[20];
+ vX_[815] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[813] = -1 * x_in[18] + x_in[30];
+ vX_[880] = 0.207 * vX_[197];
+ vX_[879] = 0 - vX_[125];
+ vX_[814] = vX_[212] * x_in[20] + vX_[210] * x_in[19] + vX_[880] * x_in[18] + vX_[197] * x_in[23] + vX_[879] * x_in[22];
+ vX_[840] = vX_[882] * vX_[815] - vX_[813] * vX_[814];
+ vX_[837] = vX_[882] * vX_[813];
+ vX_[846] = vX_[813] * vX_[813];
+ vX_[884] = vX_[209] * x_in[19] + vX_[211] * x_in[20];
+ vX_[885] = vX_[884] * vX_[884];
+ vX_[886] = -0.08 * vX_[148];
+ vX_[887] = vX_[148] * vX_[884] + vX_[128] * vX_[813];
+ vX_[888] = -0.08 * vX_[813] + -1 * vX_[814];
+ vX_[889] = vX_[887] * vX_[888];
+ vX_[890] = -1 * vX_[882] + x_in[31];
+ vX_[891] = 0.3735 * vX_[197];
+ vX_[892] = -0.3735 * vX_[125];
+ vX_[125] = 0 - vX_[125];
+ vX_[893] = 0 - vX_[197];
+ vX_[894] = vX_[891] * x_in[20] + vX_[892] * x_in[19] + vX_[126] * x_in[18] + vX_[125] * x_in[23] + vX_[893] * x_in[22];
+ vX_[895] = vX_[128] * vX_[815] + vX_[148] * vX_[894] + vX_[163] * vX_[882];
+ vX_[896] = vX_[890] * vX_[895];
+ vX_[897] = vX_[157] * vX_[884] + vX_[148] * vX_[813];
+ vX_[898] = vX_[887] * vX_[897];
+ vX_[899] = vX_[131] * vX_[887] + vX_[129] * vX_[897];
+ vX_[900] = -0.35 * vX_[897] + vX_[888];
+ vX_[901] = vX_[899] * vX_[900];
+ vX_[902] = vX_[890] + x_in[32];
+ vX_[903] = 0 - vX_[128];
+ vX_[904] = vX_[148] * vX_[815] + vX_[903] * vX_[894] + vX_[886] * vX_[882];
+ vX_[905] = vX_[129] * vX_[904] + vX_[131] * vX_[895] + vX_[130] * vX_[890];
+ vX_[906] = vX_[902] * vX_[905];
+ vX_[907] = vX_[137] * vX_[887] + vX_[131] * vX_[897];
+ vX_[908] = vX_[899] * vX_[907];
+ vX_[909] = 0 - vX_[905];
+ vX_[910] = vX_[909] * x_in[32];
+ vX_[911] = 0 - vX_[129];
+ vX_[912] = 0.35 * vX_[131];
+ vX_[913] = vX_[131] * vX_[904] + vX_[911] * vX_[895] + vX_[912] * vX_[890];
+ vX_[914] = vX_[913] * x_in[32];
+ vX_[915] = vX_[907] * vX_[900] - vX_[902] * vX_[913];
+ vX_[916] = 0.110125 * (vX_[906] - vX_[901]) + 0.025941 * vX_[908] - -0.000881 * vX_[915];
+ vX_[917] = x_in[44] - vX_[916];
+ vX_[918] = vX_[902] * vX_[902];
+ vX_[906] = -0.881 * (vX_[901] - vX_[906]) + 0.110125 * vX_[908] + 0.417781802643138 * vX_[910] + -0.00370574557885489 * vX_[914] + (0.110125 * vX_[917]) / 0.026181 - -0.000881 * (vX_[918] + vX_[899] * vX_[899]);
+ vX_[918] = 0.881 * vX_[915] + -0.000881 * vX_[908] + -0.00370574557885489 * vX_[910] + 0.880970354035369 * vX_[914] + (0.000881 * vX_[917]) / 0.026181 - 0.110125 * (vX_[918] + vX_[907] * vX_[907]);
+ vX_[915] = 0 - vX_[887];
+ vX_[914] = vX_[915] * x_in[31];
+ vX_[910] = vX_[897] * x_in[31];
+ vX_[908] = 0 - vX_[895];
+ vX_[901] = vX_[908] * x_in[31];
+ vX_[919] = vX_[904] * x_in[31];
+ vX_[920] = vX_[887] * vX_[890];
+ vX_[921] = vX_[897] * vX_[888] - vX_[890] * vX_[904];
+ vX_[922] = vX_[897] * vX_[890];
+ vX_[923] = vX_[897] * vX_[897];
+ vX_[924] = vX_[887] * vX_[887];
+ vX_[917] = 0.47422804 * (vX_[896] - vX_[889]) + 0.081641 * vX_[898] + 2.1e-05 * vX_[920] + (0.026181 * vX_[917]) / 0.026181 + vX_[916] + vX_[912] * vX_[906] + vX_[130] * vX_[918] - 0.0825825 * vX_[921] - -0.000102 * vX_[922] - -0.007418 * (vX_[923] - vX_[924]);
+ vX_[916] = x_in[43] - vX_[917];
+ vX_[925] = (vX_[152] * vX_[916]) / vX_[145];
+ vX_[926] = vX_[890] * vX_[890];
+ vX_[896] = -3.146 * (vX_[889] - vX_[896]) + 0.47422804 * vX_[898] + vX_[131] * vX_[906] + vX_[129] * vX_[918] + vX_[155] * vX_[914] + vX_[154] * vX_[910] + vX_[171] * vX_[901] + vX_[173] * vX_[919] + vX_[925] - 0.0825825 * (vX_[926] + vX_[924]);
+ vX_[889] = (vX_[143] * vX_[916]) / vX_[145];
+ vX_[921] = 3.146 * vX_[921] + 0.0825825 * vX_[898] + vX_[911] * vX_[906] + vX_[131] * vX_[918] + vX_[149] * vX_[914] + vX_[147] * vX_[910] + vX_[173] * vX_[901] + vX_[172] * vX_[919] + vX_[889] - 0.47422804 * (vX_[926] + vX_[923]);
+ vX_[927] = (vX_[145] * vX_[916]) / vX_[145];
+ vX_[928] = 0 - vX_[884];
+ vX_[929] = vX_[928] * x_in[30];
+ vX_[930] = vX_[882] * x_in[30];
+ vX_[931] = 0 - vX_[894];
+ vX_[932] = vX_[931] * x_in[30];
+ vX_[933] = vX_[814] * x_in[30];
+ vX_[934] = vX_[884] * vX_[882];
+ vX_[935] = vX_[813] * vX_[894];
+ vX_[936] = vX_[884] * vX_[815];
+ vX_[937] = vX_[884] * vX_[813];
+ vX_[938] = 0 - vX_[899];
+ vX_[939] = vX_[938] * x_in[32];
+ vX_[940] = vX_[899] * vX_[913] - vX_[907] * vX_[905];
+ vX_[941] = vX_[899] * vX_[902];
+ vX_[942] = 0.026409 * vX_[939] - 0.110125 * vX_[940] - 0.025713 * vX_[941];
+ vX_[943] = vX_[907] * vX_[902];
+ vX_[944] = vX_[907] * x_in[32];
+ vX_[945] = -0.000227999999999999 * vX_[943] + -0.000881 * vX_[940] + 0.000468 * vX_[944];
+ vX_[944] = 0.110125 * vX_[941] + 0.881 * vX_[940] + -0.000881 * vX_[943] + -0.110125 * vX_[939] + -0.000881 * vX_[944];
+ vX_[943] = (2.1e-05 * vX_[916]) / vX_[145];
+ vX_[941] = vX_[887] * vX_[904] - vX_[897] * vX_[895];
+ vX_[924] = -0.007418 * vX_[922] + -0.000102 * (vX_[926] - vX_[924]) + vX_[131] * vX_[942] + vX_[129] * vX_[945] + -0.35 * vX_[944] + vX_[182] * vX_[914] + vX_[188] * vX_[910] + vX_[155] * vX_[901] + vX_[149] * vX_[919] + vX_[943] - 0.47422804 * vX_[941] - 0.084376 * vX_[920] - 2.1e-05 * vX_[898];
+ vX_[940] = (-0.000102 * vX_[916]) / vX_[145];
+ vX_[926] = 0.002735 * vX_[922] + 0.0825825 * vX_[941] + -0.000102 * vX_[898] + vX_[137] * vX_[942] + vX_[131] * vX_[945] + vX_[188] * vX_[914] + vX_[184] * vX_[910] + vX_[154] * vX_[901] + vX_[147] * vX_[919] + vX_[940] - -0.007418 * vX_[920] - 2.1e-05 * (vX_[926] - vX_[923]);
+ vX_[941] = 0.47422804 * vX_[920] + 3.146 * vX_[941] + 0.0825825 * vX_[922] + vX_[944] + vX_[151] * vX_[914] + vX_[142] * vX_[910];
+ vX_[944] = vX_[882] * vX_[882];
+ vX_[922] = 0.009466 * vX_[934] + 0.1466472 * (vX_[935] - vX_[936]) + -5.1e-05 * vX_[937] + vX_[148] * vX_[924] + vX_[128] * vX_[926] + -0.08 * vX_[941] - 0.022734 * vX_[837] - 3.6e-05 * (vX_[944] - vX_[885]);
+ vX_[920] = x_in[42] - vX_[922];
+ vX_[923] = (vX_[220] * vX_[920]) / vX_[194];
+ vX_[898] = vX_[884] * vX_[814] - vX_[882] * vX_[894];
+ vX_[917] = -0.5824264 * vX_[840] + 3.6e-05 * vX_[837] + 0.022734 * (vX_[846] - vX_[885]) + vX_[886] * vX_[896] + vX_[163] * vX_[921] + -1 * (vX_[917] + vX_[927]) + vX_[488] * vX_[929] + vX_[541] * vX_[930] + vX_[539] * vX_[932] + vX_[490] * vX_[933] + vX_[923] - 0.1466472 * vX_[898] - -0.123672 * vX_[937] - -5.1e-05 * vX_[934];
+ vX_[939] = (vX_[229] * vX_[920]) / vX_[194];
+ vX_[946] = -0.133138 * vX_[837] + -0.5824264 * (vX_[936] - vX_[935]) + 0.022734 * vX_[934] + vX_[157] * vX_[924] + vX_[148] * vX_[926] + vX_[541] * vX_[929] + vX_[193] * vX_[930] + vX_[489] * vX_[932] + vX_[542] * vX_[933] + vX_[939] - 3.6e-05 * vX_[937] - -5.1e-05 * (vX_[846] - vX_[944]);
+ vX_[947] = (vX_[206] * vX_[920]) / vX_[194];
+ vX_[898] = 3.44 * vX_[898] + 0.1466472 * vX_[937] + vX_[148] * vX_[896] + vX_[128] * vX_[921] + vX_[167] * vX_[929] + vX_[230] * vX_[930] + vX_[225] * vX_[932] + vX_[214] * vX_[933] + vX_[947] - -0.5824264 * (vX_[944] + vX_[885]);
+ vX_[885] = (vX_[168] * vX_[920]) / vX_[194];
+ vX_[941] = 0.1466472 * vX_[934] + -3.44 * (vX_[936] - vX_[935]) + -0.5824264 * vX_[837] + -1 * vX_[941] + vX_[539] * vX_[929] + vX_[489] * vX_[930] + vX_[199] * vX_[932] + vX_[196] * vX_[933] + vX_[885];
+ vX_[936] = (vX_[158] * vX_[920]) / vX_[194];
+ vX_[944] = 3.44 * vX_[840] + -0.5824264 * vX_[937] + vX_[903] * vX_[896] + vX_[148] * vX_[921] + vX_[490] * vX_[929] + vX_[542] * vX_[930] + vX_[196] * vX_[932] + vX_[205] * vX_[933] + vX_[936] - 0.1466472 * (vX_[846] + vX_[944]);
+ vX_[937] = vX_[235] * x_in[19] + vX_[316] * x_in[20];
+ vX_[846] = 0.207 * x_in[20] + x_in[21];
+ vX_[840] = x_in[18] + x_in[27];
+ vX_[935] = -0.207 * vX_[316];
+ vX_[934] = vX_[330] * x_in[20] + vX_[328] * x_in[19] + vX_[935] * x_in[18] + vX_[316] * x_in[23] + vX_[235] * x_in[22];
+ vX_[837] = vX_[937] * vX_[846] - vX_[840] * vX_[934];
+ vX_[948] = vX_[937] * vX_[840];
+ vX_[949] = vX_[840] * vX_[840];
+ vX_[950] = vX_[316] * x_in[19] + vX_[329] * x_in[20];
+ vX_[951] = vX_[950] * vX_[950];
+ vX_[952] = vX_[937] + x_in[28];
+ vX_[953] = 0 - vX_[237];
+ vX_[954] = 0.3735 * vX_[316];
+ vX_[955] = 0.3735 * vX_[235];
+ vX_[956] = 0 - vX_[235];
+ vX_[957] = vX_[954] * x_in[20] + vX_[955] * x_in[19] + vX_[236] * x_in[18] + vX_[956] * x_in[23] + vX_[316] * x_in[22];
+ vX_[958] = vX_[953] * vX_[846] + vX_[265] * vX_[957] + vX_[283] * vX_[937];
+ vX_[959] = vX_[952] * vX_[958];
+ vX_[960] = vX_[265] * vX_[950] + vX_[238] * vX_[840];
+ vX_[961] = 0.08 * vX_[840] + vX_[934];
+ vX_[962] = vX_[960] * vX_[961];
+ vX_[963] = vX_[238] * vX_[950] + vX_[266] * vX_[840];
+ vX_[964] = vX_[960] * vX_[963];
+ vX_[965] = vX_[960] * vX_[952];
+ vX_[966] = vX_[952] + x_in[29];
+ vX_[967] = 0 - vX_[265];
+ vX_[237] = 0 - vX_[237];
+ vX_[968] = 0.08 * vX_[265];
+ vX_[969] = vX_[967] * vX_[846] + vX_[237] * vX_[957] + vX_[968] * vX_[937];
+ vX_[970] = vX_[241] * vX_[969] + vX_[239] * vX_[958] + vX_[244] * vX_[952];
+ vX_[971] = vX_[966] * vX_[970];
+ vX_[972] = vX_[239] * vX_[960] + vX_[241] * vX_[963];
+ vX_[973] = -0.35 * vX_[963] + vX_[961];
+ vX_[974] = vX_[972] * vX_[973];
+ vX_[975] = vX_[242] * vX_[960] + vX_[239] * vX_[963];
+ vX_[976] = vX_[972] * vX_[975];
+ vX_[977] = 0 - vX_[241];
+ vX_[978] = 0.35 * vX_[239];
+ vX_[979] = vX_[239] * vX_[969] + vX_[977] * vX_[958] + vX_[978] * vX_[952];
+ vX_[980] = vX_[975] * vX_[973] - vX_[966] * vX_[979];
+ vX_[981] = 0.1104774 * (vX_[971] - vX_[974]) + 0.025941 * vX_[976] - 0.0004405 * vX_[980];
+ vX_[982] = x_in[41] - vX_[981];
+ vX_[983] = vX_[975] * vX_[966];
+ vX_[984] = 0 - vX_[970];
+ vX_[985] = vX_[984] * x_in[29];
+ vX_[986] = vX_[979] * x_in[29];
+ vX_[987] = vX_[975] * x_in[29];
+ vX_[988] = vX_[966] * vX_[966];
+ vX_[989] = vX_[972] * vX_[972];
+ vX_[990] = -0.881 * (vX_[974] - vX_[971]) + 0.1104774 * vX_[976] + -8.81e-05 * vX_[983] + 0.414812462825713 * vX_[985] + 0.00185880198235362 * vX_[986] + 8.81e-05 * vX_[987] + (0.1104774 * vX_[982]) / 0.026181 - 0.0004405 * (vX_[988] + vX_[989]);
+ vX_[991] = vX_[972] * vX_[966];
+ vX_[992] = 0 - vX_[972];
+ vX_[993] = vX_[992] * x_in[29];
+ vX_[994] = vX_[975] * vX_[975];
+ vX_[988] = 0.881 * vX_[980] + -8.81e-05 * vX_[991] + 0.0004405 * vX_[976] + 0.00185880198235362 * vX_[985] + 0.880992588508842 * vX_[986] + -8.81e-05 * vX_[993] + (-0.0004405 * vX_[982]) / 0.026181 - 0.1104774 * (vX_[988] + vX_[994]);
+ vX_[976] = vX_[963] * vX_[961] - vX_[952] * vX_[969];
+ vX_[995] = vX_[963] * vX_[952];
+ vX_[996] = vX_[963] * vX_[963];
+ vX_[997] = vX_[960] * vX_[960];
+ vX_[982] = 0.47422804 * (vX_[959] - vX_[962]) + 0.081641 * vX_[964] + 2.1e-05 * vX_[965] + (0.026181 * vX_[982]) / 0.026181 + vX_[981] + vX_[978] * vX_[990] + vX_[244] * vX_[988] - -0.0825825 * vX_[976] - 0.000102 * vX_[995] - 0.007418 * (vX_[996] - vX_[997]);
+ vX_[981] = x_in[40] - vX_[982];
+ vX_[998] = (vX_[262] * vX_[981]) / vX_[262];
+ vX_[999] = 0 - vX_[960];
+ vX_[1000] = vX_[999] * x_in[28];
+ vX_[1001] = vX_[963] * x_in[28];
+ vX_[1002] = 0 - vX_[958];
+ vX_[1003] = vX_[1002] * x_in[28];
+ vX_[1004] = vX_[969] * x_in[28];
+ vX_[1005] = (vX_[273] * vX_[981]) / vX_[262];
+ vX_[1006] = vX_[952] * vX_[952];
+ vX_[962] = -3.146 * (vX_[962] - vX_[959]) + 0.47422804 * vX_[964] + vX_[239] * vX_[990] + vX_[241] * vX_[988] + vX_[276] * vX_[1000] + vX_[275] * vX_[1001] + vX_[290] * vX_[1003] + vX_[292] * vX_[1004] + vX_[1005] - -0.0825825 * (vX_[1006] + vX_[997]);
+ vX_[959] = (vX_[260] * vX_[981]) / vX_[262];
+ vX_[976] = 3.146 * vX_[976] + -0.0825825 * vX_[964] + vX_[977] * vX_[990] + vX_[239] * vX_[988] + vX_[270] * vX_[1000] + vX_[264] * vX_[1001] + vX_[292] * vX_[1003] + vX_[291] * vX_[1004] + vX_[959] - 0.47422804 * (vX_[1006] + vX_[996]);
+ vX_[1007] = 0 - vX_[950];
+ vX_[1008] = vX_[1007] * x_in[27];
+ vX_[1009] = vX_[937] * x_in[27];
+ vX_[1010] = 0 - vX_[957];
+ vX_[1011] = vX_[1010] * x_in[27];
+ vX_[1012] = vX_[934] * x_in[27];
+ vX_[1013] = vX_[950] * vX_[937];
+ vX_[1014] = vX_[840] * vX_[957];
+ vX_[1015] = vX_[950] * vX_[846];
+ vX_[1016] = vX_[950] * vX_[840];
+ vX_[1017] = vX_[972] * vX_[979] - vX_[975] * vX_[970];
+ vX_[986] = -8.81e-05 * vX_[980] + -8.81e-05 * vX_[986] + 0.026409 * vX_[993] - 0.1104774 * vX_[1017] - 0.025713 * vX_[991];
+ vX_[985] = 0.0004405 * vX_[1017] + -8.81e-05 * (vX_[974] - vX_[971]) + -0.000227999999999999 * vX_[983] + 8.81e-05 * vX_[985] + 0.000468 * vX_[987];
+ vX_[1017] = 0.881 * vX_[1017] + 0.1104774 * vX_[991] + 0.0004405 * vX_[983] + -0.1104774 * vX_[993] + 0.0004405 * vX_[987] - -8.81e-05 * (vX_[994] + vX_[989]);
+ vX_[994] = (vX_[269] * vX_[981]) / vX_[262];
+ vX_[993] = vX_[960] * vX_[969] - vX_[963] * vX_[958];
+ vX_[997] = 0.007418 * vX_[995] + 0.000102 * (vX_[1006] - vX_[997]) + vX_[239] * vX_[986] + vX_[241] * vX_[985] + -0.35 * vX_[1017] + vX_[301] * vX_[1000] + vX_[307] * vX_[1001] + vX_[276] * vX_[1003] + vX_[270] * vX_[1004] + vX_[994] - 0.47422804 * vX_[993] - 0.084376 * vX_[965] - 2.1e-05 * vX_[964];
+ vX_[991] = (vX_[250] * vX_[981]) / vX_[262];
+ vX_[1006] = 0.002735 * vX_[995] + -0.0825825 * vX_[993] + 0.000102 * vX_[964] + vX_[242] * vX_[986] + vX_[239] * vX_[985] + vX_[307] * vX_[1000] + vX_[303] * vX_[1001] + vX_[275] * vX_[1003] + vX_[264] * vX_[1004] + vX_[991] - 0.007418 * vX_[965] - 2.1e-05 * (vX_[1006] - vX_[996]);
+ vX_[993] = 0.47422804 * vX_[965] + 3.146 * vX_[993] + -0.0825825 * vX_[995] + vX_[1017] + vX_[272] * vX_[1000] + vX_[259] * vX_[1001];
+ vX_[1017] = vX_[937] * vX_[937];
+ vX_[995] = 0.009466 * vX_[1013] + 0.1466472 * (vX_[1014] - vX_[1015]) + -5.1e-05 * vX_[1016] + vX_[266] * vX_[997] + vX_[238] * vX_[1006] + 0.08 * vX_[993] - 0.022734 * vX_[948] - 3.6e-05 * (vX_[1017] - vX_[951]);
+ vX_[965] = x_in[39] - vX_[995];
+ vX_[996] = (vX_[338] * vX_[965]) / vX_[313];
+ vX_[964] = vX_[950] * vX_[934] - vX_[937] * vX_[957];
+ vX_[982] = -0.5824264 * vX_[837] + 3.6e-05 * vX_[948] + 0.022734 * (vX_[949] - vX_[951]) + vX_[998] + vX_[982] + vX_[968] * vX_[962] + vX_[283] * vX_[976] + vX_[501] * vX_[1008] + vX_[555] * vX_[1009] + vX_[553] * vX_[1011] + vX_[503] * vX_[1012] + vX_[996] - 0.1466472 * vX_[964] - -0.123672 * vX_[1016] - -5.1e-05 * vX_[1013];
+ vX_[989] = (vX_[347] * vX_[965]) / vX_[313];
+ vX_[987] = -0.133138 * vX_[948] + -0.5824264 * (vX_[1015] - vX_[1014]) + 0.022734 * vX_[1013] + vX_[238] * vX_[997] + vX_[265] * vX_[1006] + vX_[555] * vX_[1008] + vX_[312] * vX_[1009] + vX_[502] * vX_[1011] + vX_[556] * vX_[1012] + vX_[989] - 3.6e-05 * vX_[1016] - -5.1e-05 * (vX_[949] - vX_[1017]);
+ vX_[983] = (vX_[325] * vX_[965]) / vX_[313];
+ vX_[964] = 3.44 * vX_[964] + 0.1466472 * vX_[1016] + vX_[967] * vX_[962] + vX_[953] * vX_[976] + vX_[286] * vX_[1008] + vX_[348] * vX_[1009] + vX_[343] * vX_[1011] + vX_[332] * vX_[1012] + vX_[983] - -0.5824264 * (vX_[1017] + vX_[951]);
+ vX_[951] = (vX_[287] * vX_[965]) / vX_[313];
+ vX_[993] = 0.1466472 * vX_[1013] + -3.44 * (vX_[1015] - vX_[1014]) + -0.5824264 * vX_[948] + vX_[993] + vX_[553] * vX_[1008] + vX_[502] * vX_[1009] + vX_[318] * vX_[1011] + vX_[315] * vX_[1012] + vX_[951];
+ vX_[1015] = (vX_[278] * vX_[965]) / vX_[313];
+ vX_[1017] = 3.44 * vX_[837] + -0.5824264 * vX_[1016] + vX_[237] * vX_[962] + vX_[265] * vX_[976] + vX_[503] * vX_[1008] + vX_[556] * vX_[1009] + vX_[315] * vX_[1011] + vX_[324] * vX_[1012] + vX_[1015] - 0.1466472 * (vX_[949] + vX_[1017]);
+ vX_[1016] = vX_[704] * vX_[702] - vX_[697] * vX_[725];
+ vX_[949] = vX_[697] * vX_[697];
+ vX_[837] = (vX_[390] * vX_[746]) / vX_[380];
+ vX_[743] = -3.146 * (vX_[743] - vX_[742]) + 0.47422804 * vX_[744] + vX_[357] * vX_[736] + vX_[359] * vX_[748] + vX_[393] * vX_[716] + vX_[392] * vX_[717] + vX_[409] * vX_[740] + vX_[411] * vX_[741] + vX_[837] - -0.0825825 * (vX_[728] + vX_[729]);
+ vX_[742] = (vX_[378] * vX_[746]) / vX_[380];
+ vX_[738] = 3.146 * vX_[745] + -0.0825825 * vX_[744] + vX_[618] * vX_[736] + vX_[357] * vX_[748] + vX_[387] * vX_[716] + vX_[382] * vX_[717] + vX_[411] * vX_[740] + vX_[410] * vX_[741] + vX_[742] - 0.47422804 * (vX_[728] + vX_[738]);
+ vX_[745] = (vX_[380] * vX_[746]) / vX_[380];
+ vX_[744] = (vX_[458] * vX_[710]) / vX_[432];
+ vX_[728] = vX_[664] * vX_[725] - vX_[704] * vX_[690];
+ vX_[747] = 0.5824264 * vX_[1016] + -3.6e-05 * vX_[688] + -0.022734 * (vX_[949] - vX_[493]) + vX_[662] * vX_[743] + vX_[401] * vX_[738] + -1 * (vX_[747] + vX_[745]) + vX_[514] * vX_[720] + vX_[569] * vX_[721] + vX_[567] * vX_[723] + vX_[516] * vX_[726] + vX_[744] - 0.1466472 * vX_[728] - -0.123672 * vX_[727] - -5.1e-05 * vX_[703];
+ vX_[729] = (vX_[467] * vX_[710]) / vX_[432];
+ vX_[688] = -0.133138 * vX_[688] + 0.5824264 * (vX_[698] - vX_[689]) + -0.022734 * vX_[703] + vX_[395] * vX_[714] + vX_[383] * vX_[638] + vX_[569] * vX_[720] + vX_[431] * vX_[721] + vX_[515] * vX_[723] + vX_[570] * vX_[726] + vX_[729] - -3.6e-05 * vX_[727] - -5.1e-05 * (vX_[949] - vX_[641]);
+ vX_[689] = (vX_[444] * vX_[710]) / vX_[432];
+ vX_[728] = 3.44 * vX_[728] + 0.1466472 * vX_[727] + vX_[383] * vX_[743] + vX_[356] * vX_[738] + vX_[405] * vX_[720] + vX_[468] * vX_[721] + vX_[463] * vX_[723] + vX_[452] * vX_[726] + vX_[689] - 0.5824264 * (vX_[641] + vX_[493]);
+ vX_[493] = (vX_[396] * vX_[710]) / vX_[432];
+ vX_[949] = 3.44 * vX_[1016] + 0.5824264 * vX_[727] + vX_[668] * vX_[743] + vX_[383] * vX_[738] + vX_[516] * vX_[720] + vX_[570] * vX_[721] + vX_[434] * vX_[723] + vX_[443] * vX_[726] + vX_[493] - 0.1466472 * (vX_[949] + vX_[641]);
+ vX_[1016] = x_in[19] * x_in[23] - x_in[20] * x_in[22];
+ vX_[641] = x_in[19] * x_in[20];
+ vX_[727] = x_in[19] * x_in[19];
+ vX_[698] = x_in[18] * x_in[18];
+ vX_[703] = x_in[20] * x_in[20];
+ vX_[1014] = x_in[18] * x_in[22] - x_in[19] * x_in[21];
+ vX_[1013] = (vX_[0] * vX_[831]) / vX_[0];
+ vX_[948] = (vX_[194] * vX_[920]) / vX_[194];
+ vX_[974] = (vX_[313] * vX_[965]) / vX_[313];
+ vX_[971] = (vX_[432] * vX_[710]) / vX_[432];
+ vX_[995] = (-0.0053433 * vX_[1014] + 2.0678571 * (vX_[805] - vX_[804]) + 0.473273 * vX_[641] + 0.190812 * vX_[806] + vX_[1013] + vX_[861] + vX_[811] * vX_[859] + vX_[5] * vX_[883] + vX_[880] * vX_[941] + vX_[126] * vX_[944] + -1 * (vX_[922] + vX_[948]) + vX_[974] + vX_[995] + vX_[935] * vX_[993] + vX_[236] * vX_[1017] + vX_[724] * vX_[718] + vX_[354] * vX_[949] + -1 * (vX_[712] + vX_[971]) - -0.00571 * vX_[807] - 0.012668 * (vX_[703] - vX_[727])) / vX_[581];
+ vX_[922] = (2.0678571 * vX_[1016] + -0.00571 * vX_[641] + 0.190812 * (vX_[703] - vX_[698]) + vX_[50] * vX_[848] + vX_[88] * vX_[853] + vX_[100] * vX_[859] + vX_[821] * vX_[883] + vX_[211] * vX_[917] + vX_[209] * vX_[946] + vX_[210] * vX_[941] + vX_[892] * vX_[944] + vX_[235] * vX_[982] + vX_[316] * vX_[987] + vX_[328] * vX_[993] + vX_[955] * vX_[1017] + vX_[449] * vX_[747] + vX_[447] * vX_[688] + vX_[448] * vX_[718] + vX_[591] * vX_[949] - -1.1915559 * vX_[1014] - 4.847485 * vX_[807] - 0.012668 * vX_[806] - vX_[598] * vX_[995]) / vX_[578];
+ vX_[861] = (-1.1915559 * (vX_[804] - vX_[805]) + 4.374212 * vX_[806] + 0.012668 * vX_[807] + vX_[88] * vX_[848] + vX_[101] * vX_[853] + 0.207 * vX_[830] + vX_[102] * vX_[859] + vX_[820] * vX_[883] + vX_[197] * vX_[917] + vX_[211] * vX_[946] + 0.207 * vX_[898] + vX_[212] * vX_[941] + vX_[891] * vX_[944] + vX_[316] * vX_[982] + vX_[329] * vX_[987] + 0.207 * vX_[964] + vX_[330] * vX_[993] + vX_[954] * vX_[1017] + vX_[435] * vX_[747] + vX_[449] * vX_[688] + 0.207 * vX_[728] + vX_[450] * vX_[718] + vX_[696] * vX_[949] - -0.0053433 * vX_[1016] - 0.190812 * vX_[641] - -0.00571 * (vX_[727] - vX_[698]) - vX_[629] * vX_[922] - vX_[590] * vX_[995]) / vX_[580];
+ vX_[1016] = (53.433 * vX_[1016] + 2.0678571 * vX_[807] + -0.0053433 * vX_[806] + vX_[830] + -1 * vX_[898] + vX_[964] + -1 * vX_[728] - -1.1915559 * (vX_[703] + vX_[727]) - vX_[471] * vX_[922] - vX_[656] * vX_[995] - vX_[550] * vX_[861]) / vX_[683];
+ vX_[703] = (-53.433 * (vX_[805] - vX_[804]) + -1.1915559 * vX_[806] + 2.0678571 * vX_[641] + vX_[50] * vX_[859] + vX_[88] * vX_[883] + vX_[879] * vX_[941] + vX_[893] * vX_[944] + vX_[235] * vX_[993] + vX_[316] * vX_[1017] + vX_[353] * vX_[718] + vX_[587] * vX_[949] - -0.0053433 * (vX_[703] + vX_[698]) - vX_[624] * vX_[922] - vX_[472] * vX_[995] - vX_[644] * vX_[861] - vX_[655] * vX_[1016]) / vX_[680];
+ vX_[1014] = (53.433 * vX_[1014] + -1.1915559 * vX_[807] + -0.0053433 * vX_[641] + vX_[88] * vX_[859] + vX_[822] * vX_[883] + vX_[197] * vX_[941] + vX_[125] * vX_[944] + vX_[316] * vX_[993] + vX_[956] * vX_[1017] + vX_[435] * vX_[718] + vX_[583] * vX_[949] - 2.0678571 * (vX_[727] + vX_[698]) - vX_[691] * vX_[922] - vX_[536] * vX_[995] - vX_[595] * vX_[861] - vX_[699] * vX_[1016] - vX_[705] * vX_[703]) / vX_[682];
+ vX_[698] = 0 - vX_[676] * vX_[1014];
+ vX_[727] = 0 - vX_[698];
+ vX_[641] = 0 - vX_[698];
+ vX_[701] = (vX_[701] * vX_[1014] + vX_[641] * vX_[705]) * 1 / vX_[680];
+ vX_[807] = 0 - vX_[701];
+ vX_[806] = 0 - vX_[698];
+ vX_[805] = 0 - vX_[701];
+ vX_[695] = (vX_[695] * vX_[1014] + vX_[806] * vX_[699] + vX_[805] * vX_[655]) * 1 / vX_[683];
+ vX_[804] = 0 - vX_[695];
+ vX_[693] = (vX_[693] * vX_[1014] + vX_[727] * vX_[595] + vX_[807] * vX_[644] + vX_[804] * vX_[550]) * 1 / vX_[580];
+ vX_[728] = vX_[703] - vX_[674] * vX_[1014];
+ vX_[641] = vX_[670] * vX_[703] + vX_[641] * vX_[674];
+ vX_[670] = 0 - vX_[641];
+ vX_[964] = 0 - vX_[685] * vX_[703] - vX_[701] * vX_[674];
+ vX_[898] = 0 - vX_[964];
+ vX_[830] = 0 - vX_[641];
+ vX_[712] = 0 - vX_[964];
+ vX_[647] = (vX_[647] * vX_[728] + vX_[830] * vX_[699] + vX_[712] * vX_[655]) * 1 / vX_[683];
+ vX_[980] = 0 - vX_[647];
+ vX_[632] = (vX_[632] * vX_[728] + vX_[670] * vX_[595] + vX_[898] * vX_[644] + vX_[980] * vX_[550]) * 1 / vX_[580];
+ vX_[1018] = vX_[1016] - vX_[700] * vX_[1014] - vX_[684] * vX_[728];
+ vX_[830] = vX_[735] * vX_[1016] + vX_[806] * vX_[700] + vX_[830] * vX_[684];
+ vX_[806] = 0 - vX_[830];
+ vX_[712] = vX_[713] * vX_[1016] + vX_[805] * vX_[700] + vX_[712] * vX_[684];
+ vX_[805] = 0 - vX_[712];
+ vX_[713] = 0 - vX_[646] * vX_[1016] - vX_[695] * vX_[700] - vX_[647] * vX_[684];
+ vX_[735] = 0 - vX_[713];
+ vX_[506] = (vX_[506] * vX_[1018] + vX_[806] * vX_[595] + vX_[805] * vX_[644] + vX_[735] * vX_[550]) * 1 / vX_[580];
+ vX_[1019] = 0 - vX_[631] * vX_[861] - vX_[693] * vX_[694] - vX_[632] * vX_[566] - vX_[506] * vX_[645];
+ vX_[1020] = 0 - vX_[698];
+ vX_[1021] = 0 - vX_[701];
+ vX_[1022] = 0 - vX_[695];
+ vX_[1023] = 0 - vX_[693];
+ vX_[1024] = 0 - vX_[698];
+ vX_[1025] = 0 - vX_[701];
+ vX_[1026] = 0 - vX_[695];
+ vX_[1027] = 0 - vX_[693];
+ vX_[687] = (vX_[687] * vX_[1014] + vX_[1024] * vX_[691] + vX_[1025] * vX_[624] + vX_[1026] * vX_[471] + vX_[1027] * vX_[629]) * 1 / vX_[578];
+ vX_[1028] = 0 - vX_[687];
+ vX_[1029] = (vX_[1014] + vX_[1020] * vX_[536] + vX_[1021] * vX_[472] + vX_[1022] * vX_[656] + vX_[1023] * vX_[590] + vX_[1028] * vX_[598]) * 1 / vX_[581];
+ vX_[1030] = 0 - vX_[641];
+ vX_[1031] = 0 - vX_[964];
+ vX_[1032] = 0 - vX_[647];
+ vX_[1033] = 0 - vX_[632];
+ vX_[1034] = 0 - vX_[641];
+ vX_[1035] = 0 - vX_[964];
+ vX_[1036] = 0 - vX_[647];
+ vX_[1037] = 0 - vX_[632];
+ vX_[600] = (vX_[600] * vX_[728] + vX_[1034] * vX_[691] + vX_[1035] * vX_[624] + vX_[1036] * vX_[471] + vX_[1037] * vX_[629]) * 1 / vX_[578];
+ vX_[1038] = 0 - vX_[600];
+ vX_[1039] = (vX_[728] + vX_[1030] * vX_[536] + vX_[1031] * vX_[472] + vX_[1032] * vX_[656] + vX_[1033] * vX_[590] + vX_[1038] * vX_[598]) * 1 / vX_[581];
+ vX_[1040] = 0 - vX_[830];
+ vX_[1041] = 0 - vX_[712];
+ vX_[1042] = 0 - vX_[713];
+ vX_[1043] = 0 - vX_[506];
+ vX_[1044] = 0 - vX_[830];
+ vX_[1045] = 0 - vX_[712];
+ vX_[1046] = 0 - vX_[713];
+ vX_[1047] = 0 - vX_[506];
+ vX_[538] = (vX_[538] * vX_[1018] + vX_[1044] * vX_[691] + vX_[1045] * vX_[624] + vX_[1046] * vX_[471] + vX_[1047] * vX_[629]) * 1 / vX_[578];
+ vX_[1048] = 0 - vX_[538];
+ vX_[1049] = (vX_[1018] + vX_[1040] * vX_[536] + vX_[1041] * vX_[472] + vX_[1042] * vX_[656] + vX_[1043] * vX_[590] + vX_[1048] * vX_[598]) * 1 / vX_[581];
+ vX_[1050] = vX_[861] - vX_[566] * vX_[728] - vX_[645] * vX_[1018] - vX_[694] * vX_[1014];
+ vX_[806] = vX_[711] * vX_[861] + vX_[727] * vX_[694] + vX_[670] * vX_[566] + vX_[806] * vX_[645];
+ vX_[670] = 0 - vX_[806];
+ vX_[805] = vX_[708] * vX_[861] + vX_[807] * vX_[694] + vX_[898] * vX_[566] + vX_[805] * vX_[645];
+ vX_[898] = 0 - vX_[805];
+ vX_[735] = vX_[749] * vX_[861] + vX_[804] * vX_[694] + vX_[980] * vX_[566] + vX_[735] * vX_[645];
+ vX_[980] = 0 - vX_[735];
+ vX_[804] = 0 - vX_[1019];
+ vX_[749] = 0 - vX_[806];
+ vX_[807] = 0 - vX_[805];
+ vX_[708] = 0 - vX_[735];
+ vX_[727] = 0 - vX_[1019];
+ vX_[625] = (vX_[625] * vX_[1050] + vX_[749] * vX_[691] + vX_[807] * vX_[624] + vX_[708] * vX_[471] + vX_[727] * vX_[629]) * 1 / vX_[578];
+ vX_[711] = 0 - vX_[625];
+ vX_[1051] = (vX_[1050] + vX_[670] * vX_[536] + vX_[898] * vX_[472] + vX_[980] * vX_[656] + vX_[804] * vX_[590] + vX_[711] * vX_[598]) * 1 / vX_[581];
+ vX_[1052] = vX_[922] - vX_[519] * vX_[1018] - vX_[630] * vX_[1050] - vX_[564] * vX_[728] - vX_[692] * vX_[1014];
+ vX_[749] = vX_[751] * vX_[922] + vX_[1024] * vX_[692] + vX_[1034] * vX_[564] + vX_[1044] * vX_[519] + vX_[749] * vX_[630];
+ vX_[1044] = 0 - vX_[749];
+ vX_[807] = vX_[752] * vX_[922] + vX_[1025] * vX_[692] + vX_[1035] * vX_[564] + vX_[1045] * vX_[519] + vX_[807] * vX_[630];
+ vX_[1045] = 0 - vX_[807];
+ vX_[708] = vX_[753] * vX_[922] + vX_[1026] * vX_[692] + vX_[1036] * vX_[564] + vX_[1046] * vX_[519] + vX_[708] * vX_[630];
+ vX_[1046] = 0 - vX_[708];
+ vX_[727] = vX_[754] * vX_[922] + vX_[1027] * vX_[692] + vX_[1037] * vX_[564] + vX_[1047] * vX_[519] + vX_[727] * vX_[630];
+ vX_[1047] = 0 - vX_[727];
+ vX_[1037] = 0 - vX_[755] * vX_[922] - vX_[687] * vX_[692] - vX_[600] * vX_[564] - vX_[538] * vX_[519] - vX_[625] * vX_[630];
+ vX_[1027] = 0 - vX_[1037];
+ vX_[754] = (vX_[1052] + vX_[1044] * vX_[536] + vX_[1045] * vX_[472] + vX_[1046] * vX_[656] + vX_[1047] * vX_[590] + vX_[1027] * vX_[598]) * 1 / vX_[581];
+ vX_[1036] = 0 - vX_[761] * vX_[995] - vX_[1029] * vX_[686] - vX_[1039] * vX_[582] - vX_[1049] * vX_[552] - vX_[1051] * vX_[586] - vX_[754] * vX_[599];
+ vX_[1026] = vX_[1019] - vX_[1036];
+ vX_[753] = vX_[625] + vX_[727];
+ vX_[1035] = vX_[1026] * vX_[449] + vX_[753] * vX_[447];
+ vX_[1025] = vX_[1037] - vX_[1036];
+ vX_[752] = vX_[1025] * vX_[449];
+ vX_[1034] = vX_[1026] * vX_[435] + vX_[753] * vX_[449];
+ vX_[1024] = vX_[1025] * vX_[447];
+ vX_[751] = vX_[1034] + vX_[1024];
+ vX_[1053] = vX_[1035] * vX_[435] + vX_[752] * vX_[447] + vX_[751] * vX_[449];
+ vX_[1054] = 0 - vX_[1053];
+ vX_[1055] = vX_[1036] + vX_[1034] * vX_[435] + vX_[752] * vX_[449];
+ vX_[1056] = 0 - vX_[1055];
+ vX_[1057] = vX_[1036] + vX_[1035] * vX_[449] + vX_[1024] * vX_[447];
+ vX_[1045] = vX_[757] * vX_[995] + vX_[1021] * vX_[686] + vX_[1031] * vX_[582] + vX_[1041] * vX_[552] + vX_[898] * vX_[586] + vX_[1045] * vX_[599];
+ vX_[898] = vX_[1039] + vX_[1045];
+ vX_[1041] = vX_[538] + vX_[708] - vX_[898];
+ vX_[1044] = vX_[756] * vX_[995] + vX_[1020] * vX_[686] + vX_[1030] * vX_[582] + vX_[1040] * vX_[552] + vX_[670] * vX_[586] + vX_[1044] * vX_[599];
+ vX_[670] = vX_[1029] + vX_[1044];
+ vX_[1040] = 0 - (vX_[506] + vX_[735]) + vX_[670];
+ vX_[1030] = (vX_[670] * vX_[435] + vX_[898] * vX_[449]) * -1;
+ vX_[1020] = 0 - (vX_[1041] * vX_[449] + vX_[1040] * vX_[447]) + vX_[1030];
+ vX_[756] = vX_[1020] + vX_[1055] * vX_[436];
+ vX_[1031] = 0 - vX_[756];
+ vX_[1021] = (vX_[670] * vX_[449] + vX_[898] * vX_[447]) * -1;
+ vX_[757] = vX_[1041] * vX_[435] + vX_[1040] * vX_[449] + vX_[1021];
+ vX_[1058] = 0 - vX_[1057];
+ vX_[1059] = vX_[757] + vX_[1053] * vX_[436] + vX_[1058] * vX_[355];
+ vX_[1060] = vX_[632] + vX_[805];
+ vX_[1061] = vX_[693] + vX_[806];
+ vX_[1062] = vX_[1060] * vX_[447] + vX_[1061] * vX_[449];
+ vX_[1063] = vX_[687] + vX_[749];
+ vX_[1064] = vX_[600] + vX_[807];
+ vX_[1065] = vX_[1063] * vX_[449] + vX_[1064] * vX_[447];
+ vX_[1066] = vX_[1062] * vX_[435] + vX_[1065] * vX_[449];
+ vX_[1027] = vX_[760] * vX_[995] + vX_[1028] * vX_[686] + vX_[1038] * vX_[582] + vX_[1048] * vX_[552] + vX_[711] * vX_[586] + vX_[1027] * vX_[599];
+ vX_[711] = vX_[754] + vX_[1027];
+ vX_[1047] = vX_[759] * vX_[995] + vX_[1023] * vX_[686] + vX_[1033] * vX_[582] + vX_[1043] * vX_[552] + vX_[804] * vX_[586] + vX_[1047] * vX_[599];
+ vX_[804] = vX_[1051] + vX_[1047];
+ vX_[1043] = 0 - vX_[804];
+ vX_[1033] = vX_[711] * vX_[449] + vX_[1043] * vX_[447];
+ vX_[1023] = 0 - vX_[1033];
+ vX_[759] = vX_[1066] + vX_[1023] * vX_[355] + vX_[1056] * vX_[451];
+ vX_[1048] = 0 - vX_[759];
+ vX_[1038] = vX_[1060] * vX_[449] + vX_[1061] * vX_[435];
+ vX_[1028] = vX_[1063] * vX_[435] + vX_[1064] * vX_[449];
+ vX_[760] = vX_[1038] * vX_[449] + vX_[1028] * vX_[447];
+ vX_[804] = 0 - vX_[804];
+ vX_[1067] = vX_[711] * vX_[435] + vX_[804] * vX_[449];
+ vX_[1068] = 0 - vX_[1067];
+ vX_[1069] = vX_[760] + vX_[1068] * vX_[436] + vX_[1057] * vX_[451];
+ vX_[1070] = vX_[1038] * vX_[435] + vX_[1028] * vX_[449];
+ vX_[1071] = vX_[1070] + vX_[1033] * vX_[436];
+ vX_[1072] = vX_[1062] * vX_[449] + vX_[1065] * vX_[447];
+ vX_[1073] = vX_[1072] + vX_[1067] * vX_[355] + vX_[1054] * vX_[451];
+ vX_[1074] = 0 - vX_[1071] + vX_[1073];
+ vX_[1075] = 0 - vX_[1053];
+ vX_[1076] = 0 - vX_[1055];
+ vX_[1056] = vX_[1054] * vX_[573] + vX_[1056] * vX_[518] + vX_[1057] * vX_[414] + vX_[1031] * vX_[452] + vX_[1059] * vX_[463] + vX_[1048] * vX_[443] + vX_[1069] * vX_[437] + vX_[1074] * vX_[434] + vX_[1053] * vX_[567] + vX_[1075] * vX_[570] + vX_[1076] * vX_[517] + vX_[1057] * vX_[521];
+ vX_[1054] = 0 - vX_[787];
+ vX_[1077] = vX_[772] * -1 + vX_[770] * -0.08;
+ vX_[1078] = vX_[1077] + vX_[779] * -0.35;
+ vX_[1079] = vX_[1078] * 0.881 + (0 - vX_[786]) * 0.1104774 + vX_[790] * 0.0004405;
+ vX_[1080] = vX_[784] * 0.00185880198235362 + vX_[783] * 0.880992588508842 + vX_[786] * -8.81e-05;
+ vX_[1081] = vX_[1054] * vX_[706] + vX_[1079] * vX_[635] + vX_[1080] * x_in[26];
+ vX_[791] = 0 - vX_[788] + vX_[789] - vX_[791];
+ vX_[789] = 0 - vX_[1079];
+ vX_[788] = vX_[784] * 0.414812462825713 + vX_[783] * 0.00185880198235362 + vX_[790] * 8.81e-05;
+ vX_[1082] = vX_[791] * vX_[706] + vX_[789] * vX_[352] - vX_[788] * x_in[26];
+ vX_[1083] = 0 - vX_[794];
+ vX_[1084] = vX_[1077] * 3.146 + (0 - vX_[779]) * 0.47422804 + vX_[781] * -0.0825825;
+ vX_[1085] = vX_[764] * vX_[411] + vX_[765] * vX_[410] + vX_[779] * vX_[387] + vX_[781] * vX_[382];
+ vX_[1086] = vX_[1081] * vX_[357] + vX_[1082] * vX_[359] + vX_[1083] * vX_[628] + vX_[1084] * vX_[626] + vX_[1085] * x_in[25];
+ vX_[796] = 0 - vX_[795] + vX_[796];
+ vX_[795] = 0 - vX_[1084];
+ vX_[1087] = vX_[764] * vX_[409] + vX_[765] * vX_[411] + vX_[779] * vX_[393] + vX_[781] * vX_[392];
+ vX_[1088] = vX_[1081] * vX_[618] + vX_[1082] * vX_[357] + vX_[796] * vX_[628] + vX_[795] * vX_[651] - vX_[1087] * x_in[25];
+ vX_[1089] = vX_[772] * -3.44;
+ vX_[1090] = vX_[770] * 0.1466472;
+ vX_[1091] = vX_[777] * 0.5824264;
+ vX_[1092] = 0 - vX_[1089] + vX_[1090] - vX_[1091];
+ vX_[1093] = 0 - vX_[801];
+ vX_[1094] = vX_[750] * vX_[463] + vX_[772] * vX_[437] + vX_[762] * vX_[434] + vX_[763] * vX_[567] + vX_[777] * vX_[515];
+ vX_[1095] = vX_[1086] * vX_[668] + vX_[1088] * vX_[383] + vX_[1092] * vX_[697] + vX_[1093] * vX_[704] - vX_[1094] * x_in[24];
+ vX_[1096] = vX_[1019] + vX_[1037] + vX_[1036] - vX_[1055] - vX_[1057];
+ vX_[1097] = 0 - vX_[1096];
+ vX_[1030] = vX_[1030] + vX_[1097] * vX_[436];
+ vX_[1021] = vX_[1021] + vX_[1096] * vX_[355];
+ vX_[1098] = 0 - vX_[1059];
+ vX_[1099] = 0 - vX_[1069];
+ vX_[1046] = vX_[758] * vX_[995] + vX_[1022] * vX_[686] + vX_[1032] * vX_[582] + vX_[1042] * vX_[552] + vX_[980] * vX_[586] + vX_[1046] * vX_[599];
+ vX_[980] = vX_[1049] + vX_[1046] + vX_[1061] + vX_[1064] - vX_[1070] - vX_[1072];
+ vX_[1073] = vX_[980] - vX_[1073];
+ vX_[1042] = 0 - vX_[1033];
+ vX_[1032] = 0 - vX_[1053];
+ vX_[1022] = 0 - vX_[1057];
+ vX_[758] = vX_[698] - vX_[713];
+ vX_[1100] = vX_[964] - vX_[713];
+ vX_[1101] = vX_[701] + vX_[641];
+ vX_[1102] = vX_[647] + vX_[712];
+ vX_[1103] = vX_[695] + vX_[830];
+ vX_[1104] = 0 - vX_[1103];
+ vX_[1105] = vX_[758] * vX_[449] + vX_[1101] * vX_[447];
+ vX_[1106] = vX_[1100] * vX_[449];
+ vX_[1107] = vX_[758] * vX_[435] + vX_[1101] * vX_[449];
+ vX_[1108] = vX_[1100] * vX_[447];
+ vX_[1109] = vX_[1107] + vX_[1108];
+ vX_[1110] = vX_[1078] * 0.0004405 + vX_[784] * -8.81e-05 + vX_[790] * -0.000227999999999999;
+ vX_[1111] = vX_[1078] * 0.1104774 + vX_[783] * -8.81e-05 + (0 - vX_[786]) * 0.025713;
+ vX_[1112] = (0 - vX_[784]) * 0.0004405;
+ vX_[1113] = (0 - vX_[783]) * 0.1104774;
+ vX_[1114] = vX_[1112] + vX_[1113];
+ vX_[1114] = vX_[1054] * vX_[606] + vX_[791] * vX_[234] + vX_[1110] * vX_[352] + vX_[1111] * vX_[635] + vX_[1114] * vX_[706] + vX_[1114] * vX_[706];
+ vX_[791] = vX_[1077] * -0.0825825 + (0 - vX_[766]) * 0.000102 + vX_[779] * 0.007418 + vX_[781] * 0.002735;
+ vX_[1054] = vX_[1077] * 0.47422804 + vX_[766] * 2.1e-05 + (0 - vX_[779]) * 0.084376 + (0 - vX_[781]) * 0.007418;
+ vX_[1115] = (0 - vX_[764]) * -0.0825825;
+ vX_[1116] = (0 - vX_[765]) * 0.47422804;
+ vX_[1117] = vX_[779] * 0.000102;
+ vX_[1118] = (0 - vX_[781]) * 2.1e-05;
+ vX_[1119] = vX_[1115] + vX_[1116] + vX_[1117] + vX_[1118];
+ vX_[1119] = vX_[1114] + vX_[1081] * vX_[612] + vX_[1082] * vX_[362] + vX_[1083] * vX_[653] + vX_[796] * vX_[649] + vX_[791] * vX_[651] + vX_[1054] * vX_[626] + vX_[1119] * vX_[628] + vX_[1119] * vX_[628];
+ vX_[796] = vX_[772] * 0.5824264 + (0 - vX_[770]) * -0.022734 + vX_[763] * -3.6e-05 + vX_[777] * -0.133138;
+ vX_[1083] = vX_[772] * 0.1466472 + vX_[770] * 0.009466 + (0 - vX_[763]) * -5.1e-05 + vX_[777] * -0.022734;
+ vX_[1120] = (0 - vX_[750]) * 0.5824264;
+ vX_[1121] = (0 - vX_[762]) * 0.1466472;
+ vX_[1122] = (0 - vX_[770]) * -3.6e-05;
+ vX_[1123] = (0 - vX_[777]) * -5.1e-05;
+ vX_[1124] = vX_[1120] + vX_[1121] + vX_[1122] - vX_[1123];
+ vX_[1125] = vX_[750] * vX_[468] + vX_[772] * vX_[515] + vX_[762] * vX_[570] + vX_[763] * vX_[569] + vX_[777] * vX_[431];
+ vX_[1124] = vX_[1086] * vX_[662] + vX_[1088] * vX_[401] + vX_[1119] * -1 + vX_[799] * vX_[702] + vX_[1093] * vX_[690] + vX_[796] * vX_[697] + vX_[1083] * vX_[664] + vX_[1124] * vX_[704] + vX_[1124] * vX_[704] + vX_[1125] * x_in[24];
+ vX_[785] = vX_[784] * 0.1104774 + vX_[783] * 0.0004405 + vX_[785] * 0.025941;
+ vX_[1093] = (0 - vX_[1078]) * -8.81e-05;
+ vX_[1113] = vX_[1093] + vX_[1113];
+ vX_[790] = vX_[1078] * 0.0004405 + vX_[784] * 8.81e-05 + vX_[790] * 0.000468;
+ vX_[1113] = vX_[787] * vX_[731] + vX_[789] * vX_[234] + vX_[1110] * vX_[706] + vX_[785] * vX_[635] + vX_[1113] * vX_[352] + vX_[1113] * vX_[352] + vX_[790] * x_in[26];
+ vX_[1093] = vX_[1093] + vX_[1112];
+ vX_[1078] = vX_[1078] * -0.1104774 + vX_[783] * -8.81e-05 + vX_[786] * 0.026409;
+ jac[954] = vX_[788] * vX_[737] + vX_[1080] * vX_[606] + vX_[1078] * vX_[709] + vX_[790] * vX_[352] + vX_[1114];
+ vX_[1078] = vX_[792] * vX_[731] + vX_[1079] * vX_[606] + vX_[1111] * vX_[706] + vX_[785] * vX_[352] + vX_[1093] * vX_[635] + vX_[1093] * vX_[635] - vX_[1078] * x_in[26];
+ vX_[1093] = vX_[764] * 0.47422804 + vX_[765] * -0.0825825 + vX_[766] * 0.081641 + (0 - vX_[779]) * 2.1e-05 + vX_[781] * 0.000102;
+ vX_[785] = (0 - vX_[766]) * 0.007418;
+ vX_[1118] = vX_[1116] + vX_[785] - vX_[1118];
+ vX_[1116] = vX_[1077] * vX_[377] + vX_[764] * vX_[392] + vX_[765] * vX_[382] + vX_[779] * vX_[426] + vX_[781] * vX_[422];
+ vX_[1118] = vX_[793] * -0.35 + vX_[1113] * vX_[357] + vX_[1078] * vX_[359] + vX_[794] * vX_[730] + vX_[795] * vX_[649] + vX_[791] * vX_[628] + vX_[1093] * vX_[626] + vX_[1118] * vX_[651] + vX_[1118] * vX_[651] + vX_[1116] * x_in[25];
+ vX_[785] = vX_[1115] - vX_[785] - vX_[1117];
+ vX_[1117] = vX_[1077] * vX_[389] + vX_[764] * vX_[393] + vX_[765] * vX_[387] + vX_[779] * vX_[420] + vX_[781] * vX_[426];
+ jac[918] = vX_[1087] * vX_[739] + vX_[1085] * vX_[653] + vX_[1117] * vX_[715] + vX_[1116] * vX_[651] + vX_[1119];
+ vX_[1117] = vX_[1113] * vX_[360] + vX_[1078] * vX_[357] + vX_[797] * vX_[730] + vX_[1084] * vX_[653] + vX_[1054] * vX_[628] + vX_[1093] * vX_[651] + vX_[785] * vX_[626] + vX_[785] * vX_[626] - vX_[1117] * x_in[25];
+ vX_[1091] = vX_[1089] - vX_[1090] + vX_[1091];
+ vX_[1090] = vX_[750] * 0.1466472 + vX_[762] * 0.5824264 + vX_[770] * -5.1e-05 + (0 - vX_[763]) * -0.123672 + (0 - vX_[777]) * -3.6e-05;
+ vX_[1089] = vX_[763] * -0.022734;
+ vX_[1122] = vX_[1120] - vX_[1122] - vX_[1089];
+ vX_[1120] = vX_[750] * vX_[405] + vX_[772] * vX_[567] + vX_[762] * vX_[516] + vX_[763] * vX_[514] + vX_[777] * vX_[569];
+ vX_[1122] = vX_[1118] * vX_[395] + vX_[1117] * vX_[383] + vX_[1091] * vX_[702] + vX_[801] * vX_[725] + vX_[1090] * vX_[697] + vX_[1083] * vX_[704] + vX_[1122] * vX_[664] + vX_[1122] * vX_[664] - vX_[1120] * x_in[24];
+ vX_[1083] = sin(x_in[6]);
+ vX_[801] = 0 - vX_[1030];
+ vX_[785] = 0 - vX_[1021];
+ vX_[980] = 0 - vX_[980] + vX_[1071];
+ vX_[1071] = 0 - vX_[1067];
+ vX_[1103] = 0 - vX_[1103];
+ vX_[1093] = cos(x_in[6]);
+ jac[234] = 0 - (0 - (vX_[685] * vX_[718] + vX_[803] * x_in[22]) + (vX_[631] * vX_[718] + vX_[1056] * vX_[449] + vX_[803] * x_in[20]) * -0.3735 - (vX_[676] * vX_[949] + vX_[1095] * x_in[23]) + (vX_[755] * vX_[949] + vX_[1095] * x_in[19]) * 0.3735 + (vX_[761] * vX_[949] + (vX_[1023] * vX_[518] + vX_[1067] * vX_[573] + vX_[1096] * vX_[462] + vX_[1058] * vX_[464] + vX_[1030] * vX_[434] + vX_[1021] * vX_[443] + vX_[1098] * vX_[446] + vX_[1099] * vX_[463] + vX_[1073] * vX_[452] + vX_[1042] * vX_[516] + vX_[1067] * vX_[570] + vX_[1032] * vX_[405] + vX_[1022] * vX_[523]) * -1 + vX_[1095] * x_in[18]) * -0.207 - (vX_[631] * vX_[688] + vX_[755] * vX_[747] + vX_[758] * vX_[681] + vX_[1100] * vX_[679] + vX_[1101] * vX_[677] + vX_[1102] * vX_[654] + vX_[1104] * vX_[452] + vX_[1105] * vX_[658] + vX_[1106] * vX_[657] + vX_[1109] * vX_[434] + vX_[1060] * vX_[643] + vX_[1063] * vX_[623] + vX_[670] * vX_[470] + vX_[898] * vX_[460] + vX_[1061] * vX_[642] + vX_[1064] * vX_[620] + vX_[1038] * vX_[619] + vX_[1062] * vX_[621] + vX_[1028] * vX_[572] + vX_[1065] * vX_[622] + vX_[1041] * vX_[459] + vX_[1040] * vX_[469] + vX_[1026] * vX_[579] + vX_[1025] * vX_[577] + vX_[753] * vX_[575] + vX_[711] * vX_[596] + vX_[804] * vX_[597] + vX_[1035] * vX_[524] + vX_[752] * vX_[520] + vX_[751] * vX_[574] + vX_[1056] * vX_[450] + vX_[1124] * x_in[19] + vX_[1122] * x_in[20])) * vX_[1083] + (vX_[676] * vX_[718] + vX_[631] * vX_[747] + vX_[758] * vX_[677] + vX_[1102] * vX_[452] + vX_[1107] * vX_[657] + vX_[1105] * vX_[434] + vX_[1063] * vX_[620] + vX_[670] * vX_[460] + vX_[1061] * vX_[643] + vX_[1038] * vX_[572] + vX_[1062] * vX_[622] + vX_[1041] * vX_[469] + vX_[1026] * vX_[575] + vX_[711] * vX_[597] + vX_[1034] * vX_[520] + vX_[1035] * vX_[574] + (vX_[1033] * vX_[571] + vX_[1068] * vX_[414] + vX_[1053] * vX_[464] + vX_[1097] * vX_[438] + vX_[1055] * vX_[453] + vX_[801] * vX_[437] + vX_[756] * vX_[446] + vX_[785] * vX_[434] + vX_[759] * vX_[452] + vX_[980] * vX_[463] + vX_[1033] * vX_[567] + vX_[1071] * vX_[515] + vX_[1053] * vX_[468] + vX_[1055] * vX_[512]) * 0.207 + vX_[803] * x_in[23] + vX_[1124] * x_in[20] + (vX_[755] * vX_[718] + vX_[1056] * vX_[447] + vX_[803] * x_in[19]) * -0.3735 + (vX_[761] * vX_[718] + vX_[803] * x_in[18]) * 0.207 - (vX_[685] * vX_[949] + vX_[1095] * x_in[22]) + (vX_[631] * vX_[949] + vX_[1095] * x_in[20]) * -0.3735 - (vX_[755] * vX_[688] + vX_[1100] * vX_[678] + vX_[1101] * vX_[681] + vX_[1103] * vX_[654] + vX_[1106] * vX_[434] + vX_[1108] * vX_[658] + vX_[1060] * vX_[642] + vX_[898] * vX_[470] + vX_[1064] * vX_[623] + vX_[1028] * vX_[619] + vX_[1065] * vX_[621] + vX_[1040] * vX_[459] + vX_[1025] * vX_[576] + vX_[753] * vX_[579] + vX_[1043] * vX_[596] + vX_[752] * vX_[574] + vX_[1024] * vX_[524] + vX_[1056] * vX_[448] + vX_[1122] * x_in[19])) * vX_[1093];
+ vX_[1101] = 0 - vX_[630];
+ vX_[1100] = 0 - vX_[630];
+ vX_[758] = vX_[519] + vX_[1100] * vX_[645];
+ vX_[1097] = 0 - vX_[758];
+ vX_[1096] = vX_[564] + vX_[1101] * vX_[566] + vX_[1097] * vX_[684];
+ vX_[1056] = 0 - vX_[630];
+ vX_[1068] = 0 - vX_[758];
+ vX_[804] = 0 - vX_[1096];
+ vX_[1028] = (vX_[692] + vX_[1056] * vX_[694] + vX_[1068] * vX_[700] + vX_[804] * vX_[674]) * 1 / vX_[682];
+ vX_[1038] = 0 - vX_[1028];
+ vX_[1096] = (vX_[1096] + vX_[1038] * vX_[705]) * 1 / vX_[680];
+ vX_[1023] = 0 - vX_[1028];
+ vX_[1043] = 0 - vX_[1096];
+ vX_[758] = (vX_[758] + vX_[1023] * vX_[699] + vX_[1043] * vX_[655]) * 1 / vX_[683];
+ vX_[711] = 0 - vX_[1028];
+ vX_[1065] = 0 - vX_[1096];
+ vX_[1064] = 0 - vX_[758];
+ vX_[1063] = (vX_[630] + vX_[711] * vX_[595] + vX_[1065] * vX_[644] + vX_[1064] * vX_[550]) * 1 / vX_[580];
+ vX_[1062] = vX_[758] * -1 + vX_[1063] * 0.207;
+ vX_[1061] = 0 - vX_[1028];
+ vX_[1060] = 0 - vX_[1096];
+ vX_[1058] = 0 - vX_[758];
+ vX_[1040] = 0 - vX_[1063];
+ vX_[670] = (-1 + vX_[1061] * vX_[691] + vX_[1060] * vX_[624] + vX_[1058] * vX_[471] + vX_[1040] * vX_[629]) * 1 / vX_[578];
+ vX_[1041] = 0 - vX_[1028];
+ vX_[898] = 0 - vX_[1096];
+ vX_[751] = 0 - vX_[758];
+ vX_[1024] = 0 - vX_[1063];
+ vX_[1034] = 0 - vX_[670];
+ vX_[752] = (vX_[1041] * vX_[536] + vX_[898] * vX_[472] + vX_[751] * vX_[656] + vX_[1024] * vX_[590] + vX_[1034] * vX_[598]) * 1 / vX_[581];
+ vX_[1025] = vX_[1028] * vX_[583] + vX_[1096] * vX_[587] + vX_[1063] * vX_[696] + vX_[670] * vX_[591] + vX_[752] * vX_[354];
+ vX_[1035] = vX_[1063] * vX_[435] + vX_[670] * vX_[449];
+ vX_[753] = vX_[1062] * vX_[383] + vX_[1025] * vX_[668] + vX_[1035] * vX_[662];
+ vX_[1026] = vX_[1062] * vX_[356] + vX_[1025] * vX_[383] + vX_[1035] * vX_[401];
+ vX_[1054] = vX_[1035] * -1;
+ vX_[1084] = vX_[753] * 1 / vX_[380];
+ vX_[797] = vX_[1026] * 1 / vX_[380];
+ vX_[1116] = vX_[1054] * 1 / vX_[380];
+ vX_[1119] = vX_[752] * -1;
+ vX_[1087] = vX_[1062] * 1 / vX_[432];
+ vX_[1085] = vX_[1028] * vX_[435] + vX_[1096] * vX_[353] + vX_[1063] * vX_[450] + vX_[670] * vX_[448] + vX_[752] * vX_[724];
+ vX_[1115] = vX_[1085] * 1 / vX_[432];
+ vX_[791] = vX_[1025] * 1 / vX_[432];
+ vX_[795] = vX_[1119] * 1 / vX_[432];
+ vX_[794] = vX_[1035] * 1 / vX_[432];
+ vX_[793] = vX_[1063] * vX_[449] + vX_[670] * vX_[447];
+ vX_[1111] = vX_[793] * 1 / vX_[432];
+ vX_[1119] = vX_[1119] - (vX_[1087] * vX_[444] + vX_[1115] * vX_[406] + vX_[791] * vX_[396] + vX_[795] * vX_[432] + vX_[794] * vX_[458] + vX_[1111] * vX_[467]);
+ vX_[1079] = vX_[1119] * vX_[383] + vX_[793] * vX_[395];
+ vX_[792] = vX_[1079] * 1 / vX_[380];
+ vX_[790] = vX_[1119] * vX_[356] + vX_[793] * vX_[383];
+ vX_[1114] = vX_[790] * 1 / vX_[380];
+ vX_[1054] = vX_[1054] - (vX_[1084] * vX_[390] + vX_[797] * vX_[378] + vX_[1116] * vX_[380] + vX_[792] * vX_[386] + vX_[1114] * vX_[368]);
+ vX_[788] = vX_[753] * vX_[359] + vX_[1026] * vX_[357] + vX_[1054] * vX_[362];
+ vX_[1080] = vX_[753] * vX_[357] + vX_[1026] * vX_[618] + vX_[1054] * vX_[612];
+ vX_[786] = vX_[1054] - (vX_[1080] * 38.1956380581338 * 0.1104774 + vX_[788] * 38.1956380581338 * -0.0004405 + vX_[1054] * 38.1956380581338 * 0.026181);
+ vX_[783] = vX_[1079] * vX_[357] + vX_[790] * vX_[360];
+ vX_[1112] = vX_[788] * 0.881 + (0 - vX_[786]) * 0.0004405 + vX_[783] * -8.81e-05;
+ vX_[1110] = vX_[1080] * -0.881;
+ vX_[789] = vX_[786] * 0.1104774;
+ vX_[787] = vX_[1079] * vX_[359] + vX_[790] * vX_[357];
+ vX_[784] = vX_[787] * -8.81e-05;
+ vX_[1126] = vX_[1110] - vX_[789] + vX_[784];
+ vX_[1127] = vX_[1112] * vX_[352] + vX_[1126] * vX_[635];
+ vX_[1128] = vX_[1026] * 3.146 + (0 - vX_[1054]) * -0.0825825;
+ vX_[1129] = vX_[753] * -3.146;
+ vX_[1130] = vX_[1054] * 0.47422804;
+ vX_[1131] = vX_[1129] - vX_[1130];
+ vX_[1132] = vX_[1127] + vX_[1128] * vX_[651] + vX_[1131] * vX_[626];
+ vX_[1133] = vX_[1025] * 3.44 + vX_[1035] * 0.5824264;
+ vX_[1134] = 0 - vX_[1133];
+ vX_[1135] = vX_[1062] * 3.44 + (0 - vX_[1035]) * 0.1466472;
+ vX_[1136] = vX_[1062] * vX_[452] + vX_[1085] * vX_[434] + vX_[1025] * vX_[443] + vX_[1035] * vX_[516] + vX_[793] * vX_[570];
+ vX_[1137] = vX_[1132] * -1 + vX_[1134] * vX_[697] + vX_[1135] * vX_[664] + vX_[1136] * x_in[24];
+ vX_[1138] = 0 - vX_[1028] * vX_[1014];
+ vX_[1139] = 0 - vX_[1138];
+ vX_[1140] = 0 - vX_[1138];
+ vX_[804] = (vX_[804] * vX_[1014] + vX_[1140] * vX_[705]) * 1 / vX_[680];
+ vX_[1141] = 0 - vX_[804];
+ vX_[1142] = 0 - vX_[1138];
+ vX_[1143] = 0 - vX_[804];
+ vX_[1068] = (vX_[1068] * vX_[1014] + vX_[1142] * vX_[699] + vX_[1143] * vX_[655]) * 1 / vX_[683];
+ vX_[1144] = 0 - vX_[1068];
+ vX_[1056] = (vX_[1056] * vX_[1014] + vX_[1139] * vX_[595] + vX_[1141] * vX_[644] + vX_[1144] * vX_[550]) * 1 / vX_[580];
+ vX_[1140] = vX_[1038] * vX_[703] + vX_[1140] * vX_[674];
+ vX_[1038] = 0 - vX_[1140];
+ vX_[1145] = 0 - vX_[1096] * vX_[703] - vX_[804] * vX_[674];
+ vX_[1146] = 0 - vX_[1145];
+ vX_[1147] = 0 - vX_[1140];
+ vX_[1148] = 0 - vX_[1145];
+ vX_[1097] = (vX_[1097] * vX_[728] + vX_[1147] * vX_[699] + vX_[1148] * vX_[655]) * 1 / vX_[683];
+ vX_[1149] = 0 - vX_[1097];
+ vX_[1101] = (vX_[1101] * vX_[728] + vX_[1038] * vX_[595] + vX_[1146] * vX_[644] + vX_[1149] * vX_[550]) * 1 / vX_[580];
+ vX_[1147] = vX_[1023] * vX_[1016] + vX_[1142] * vX_[700] + vX_[1147] * vX_[684];
+ vX_[1142] = 0 - vX_[1147];
+ vX_[1148] = vX_[1043] * vX_[1016] + vX_[1143] * vX_[700] + vX_[1148] * vX_[684];
+ vX_[1143] = 0 - vX_[1148];
+ vX_[1043] = 0 - vX_[758] * vX_[1016] - vX_[1068] * vX_[700] - vX_[1097] * vX_[684];
+ vX_[1023] = 0 - vX_[1043];
+ vX_[1100] = (vX_[1100] * vX_[1018] + vX_[1142] * vX_[595] + vX_[1143] * vX_[644] + vX_[1023] * vX_[550]) * 1 / vX_[580];
+ vX_[1150] = 0 - vX_[1063] * vX_[861] - vX_[1056] * vX_[694] - vX_[1101] * vX_[566] - vX_[1100] * vX_[645];
+ vX_[1151] = 0 - vX_[1138];
+ vX_[1152] = 0 - vX_[804];
+ vX_[1153] = 0 - vX_[1068];
+ vX_[1154] = 0 - vX_[1056];
+ vX_[1155] = 0 - vX_[1138];
+ vX_[1156] = 0 - vX_[804];
+ vX_[1157] = 0 - vX_[1068];
+ vX_[1158] = 0 - vX_[1056];
+ vX_[1159] = (vX_[1014] + vX_[1155] * vX_[691] + vX_[1156] * vX_[624] + vX_[1157] * vX_[471] + vX_[1158] * vX_[629]) * 1 / vX_[578];
+ vX_[1160] = 0 - vX_[1159];
+ vX_[1161] = (vX_[1151] * vX_[536] + vX_[1152] * vX_[472] + vX_[1153] * vX_[656] + vX_[1154] * vX_[590] + vX_[1160] * vX_[598]) * 1 / vX_[581];
+ vX_[1162] = 0 - vX_[1140];
+ vX_[1163] = 0 - vX_[1145];
+ vX_[1164] = 0 - vX_[1097];
+ vX_[1165] = 0 - vX_[1101];
+ vX_[1166] = 0 - vX_[1140];
+ vX_[1167] = 0 - vX_[1145];
+ vX_[1168] = 0 - vX_[1097];
+ vX_[1169] = 0 - vX_[1101];
+ vX_[1170] = (vX_[728] + vX_[1166] * vX_[691] + vX_[1167] * vX_[624] + vX_[1168] * vX_[471] + vX_[1169] * vX_[629]) * 1 / vX_[578];
+ vX_[1171] = 0 - vX_[1170];
+ vX_[1172] = (vX_[1162] * vX_[536] + vX_[1163] * vX_[472] + vX_[1164] * vX_[656] + vX_[1165] * vX_[590] + vX_[1171] * vX_[598]) * 1 / vX_[581];
+ vX_[1173] = 0 - vX_[1147];
+ vX_[1174] = 0 - vX_[1148];
+ vX_[1175] = 0 - vX_[1043];
+ vX_[1176] = 0 - vX_[1100];
+ vX_[1177] = 0 - vX_[1147];
+ vX_[1178] = 0 - vX_[1148];
+ vX_[1179] = 0 - vX_[1043];
+ vX_[1180] = 0 - vX_[1100];
+ vX_[1181] = (vX_[1018] + vX_[1177] * vX_[691] + vX_[1178] * vX_[624] + vX_[1179] * vX_[471] + vX_[1180] * vX_[629]) * 1 / vX_[578];
+ vX_[1182] = 0 - vX_[1181];
+ vX_[1183] = (vX_[1173] * vX_[536] + vX_[1174] * vX_[472] + vX_[1175] * vX_[656] + vX_[1176] * vX_[590] + vX_[1182] * vX_[598]) * 1 / vX_[581];
+ vX_[1142] = vX_[711] * vX_[861] + vX_[1139] * vX_[694] + vX_[1038] * vX_[566] + vX_[1142] * vX_[645];
+ vX_[1038] = 0 - vX_[1142];
+ vX_[1143] = vX_[1065] * vX_[861] + vX_[1141] * vX_[694] + vX_[1146] * vX_[566] + vX_[1143] * vX_[645];
+ vX_[1146] = 0 - vX_[1143];
+ vX_[1023] = vX_[1064] * vX_[861] + vX_[1144] * vX_[694] + vX_[1149] * vX_[566] + vX_[1023] * vX_[645];
+ vX_[1149] = 0 - vX_[1023];
+ vX_[1144] = 0 - vX_[1150];
+ vX_[1064] = 0 - vX_[1142];
+ vX_[1141] = 0 - vX_[1143];
+ vX_[1065] = 0 - vX_[1023];
+ vX_[1139] = 0 - vX_[1150];
+ vX_[711] = (vX_[1050] + vX_[1064] * vX_[691] + vX_[1141] * vX_[624] + vX_[1065] * vX_[471] + vX_[1139] * vX_[629]) * 1 / vX_[578];
+ vX_[1184] = 0 - vX_[711];
+ vX_[1185] = (vX_[1038] * vX_[536] + vX_[1146] * vX_[472] + vX_[1149] * vX_[656] + vX_[1144] * vX_[590] + vX_[1184] * vX_[598]) * 1 / vX_[581];
+ vX_[1064] = vX_[1061] * vX_[922] + vX_[1155] * vX_[692] + vX_[1166] * vX_[564] + vX_[1177] * vX_[519] + vX_[1064] * vX_[630];
+ vX_[1177] = 0 - vX_[1064];
+ vX_[1141] = vX_[1060] * vX_[922] + vX_[1156] * vX_[692] + vX_[1167] * vX_[564] + vX_[1178] * vX_[519] + vX_[1141] * vX_[630];
+ vX_[1178] = 0 - vX_[1141];
+ vX_[1065] = vX_[1058] * vX_[922] + vX_[1157] * vX_[692] + vX_[1168] * vX_[564] + vX_[1179] * vX_[519] + vX_[1065] * vX_[630];
+ vX_[1179] = 0 - vX_[1065];
+ vX_[1139] = vX_[1040] * vX_[922] + vX_[1158] * vX_[692] + vX_[1169] * vX_[564] + vX_[1180] * vX_[519] + vX_[1139] * vX_[630];
+ vX_[1180] = 0 - vX_[1139];
+ vX_[1169] = 0 - vX_[670] * vX_[922] - vX_[1159] * vX_[692] - vX_[1170] * vX_[564] - vX_[1181] * vX_[519] - vX_[711] * vX_[630];
+ vX_[1158] = 0 - vX_[1169];
+ vX_[1040] = (vX_[1177] * vX_[536] + vX_[1178] * vX_[472] + vX_[1179] * vX_[656] + vX_[1180] * vX_[590] + vX_[1158] * vX_[598]) * 1 / vX_[581];
+ vX_[1168] = 0 - vX_[752] * vX_[995] - vX_[1161] * vX_[686] - vX_[1172] * vX_[582] - vX_[1183] * vX_[552] - vX_[1185] * vX_[586] - vX_[1040] * vX_[599];
+ vX_[1157] = vX_[1150] - vX_[1168];
+ vX_[1058] = vX_[711] + vX_[1139];
+ vX_[1167] = vX_[1157] * vX_[449] + vX_[1058] * vX_[447];
+ vX_[1156] = vX_[1169] - vX_[1168];
+ vX_[1060] = vX_[1156] * vX_[449];
+ vX_[1166] = vX_[1157] * vX_[435] + vX_[1058] * vX_[449];
+ vX_[1155] = vX_[1156] * vX_[447];
+ vX_[1061] = vX_[1166] + vX_[1155];
+ vX_[1186] = vX_[1167] * vX_[435] + vX_[1060] * vX_[447] + vX_[1061] * vX_[449];
+ vX_[1187] = 0 - vX_[1186];
+ vX_[1188] = vX_[1168] + vX_[1166] * vX_[435] + vX_[1060] * vX_[449];
+ vX_[1189] = 0 - vX_[1188];
+ vX_[1190] = vX_[1168] + vX_[1167] * vX_[449] + vX_[1155] * vX_[447];
+ vX_[1178] = vX_[898] * vX_[995] + vX_[1152] * vX_[686] + vX_[1163] * vX_[582] + vX_[1174] * vX_[552] + vX_[1146] * vX_[586] + vX_[1178] * vX_[599];
+ vX_[1146] = vX_[1172] + vX_[1178];
+ vX_[1174] = vX_[1181] + vX_[1065] - vX_[1146];
+ vX_[1177] = vX_[1041] * vX_[995] + vX_[1151] * vX_[686] + vX_[1162] * vX_[582] + vX_[1173] * vX_[552] + vX_[1038] * vX_[586] + vX_[1177] * vX_[599];
+ vX_[1038] = vX_[1161] + vX_[1177];
+ vX_[1173] = 0 - (vX_[1100] + vX_[1023]) + vX_[1038];
+ vX_[1162] = (vX_[1038] * vX_[435] + vX_[1146] * vX_[449]) * -1;
+ vX_[1151] = 0 - (vX_[1174] * vX_[449] + vX_[1173] * vX_[447]) + vX_[1162];
+ vX_[1041] = vX_[1151] + vX_[1188] * vX_[436];
+ vX_[1163] = 0 - vX_[1041];
+ vX_[1152] = (vX_[1038] * vX_[449] + vX_[1146] * vX_[447]) * -1;
+ vX_[898] = vX_[1174] * vX_[435] + vX_[1173] * vX_[449] + vX_[1152];
+ vX_[1191] = 0 - vX_[1190];
+ vX_[1192] = vX_[898] + vX_[1186] * vX_[436] + vX_[1191] * vX_[355];
+ vX_[1193] = vX_[1101] + vX_[1143];
+ vX_[1194] = vX_[1056] + vX_[1142];
+ vX_[1195] = vX_[1193] * vX_[447] + vX_[1194] * vX_[449];
+ vX_[1196] = vX_[1159] + vX_[1064];
+ vX_[1197] = vX_[1170] + vX_[1141];
+ vX_[1198] = vX_[1196] * vX_[449] + vX_[1197] * vX_[447];
+ vX_[1199] = vX_[1195] * vX_[435] + vX_[1198] * vX_[449];
+ vX_[1158] = vX_[1034] * vX_[995] + vX_[1160] * vX_[686] + vX_[1171] * vX_[582] + vX_[1182] * vX_[552] + vX_[1184] * vX_[586] + vX_[1158] * vX_[599];
+ vX_[1184] = vX_[1040] + vX_[1158];
+ vX_[1180] = vX_[1024] * vX_[995] + vX_[1154] * vX_[686] + vX_[1165] * vX_[582] + vX_[1176] * vX_[552] + vX_[1144] * vX_[586] + vX_[1180] * vX_[599];
+ vX_[1144] = vX_[1185] + vX_[1180];
+ vX_[1176] = 0 - vX_[1144];
+ vX_[1165] = vX_[1184] * vX_[449] + vX_[1176] * vX_[447];
+ vX_[1154] = 0 - vX_[1165];
+ vX_[1024] = vX_[1199] + vX_[1154] * vX_[355] + vX_[1189] * vX_[451];
+ vX_[1182] = 0 - vX_[1024];
+ vX_[1171] = vX_[1193] * vX_[449] + vX_[1194] * vX_[435];
+ vX_[1160] = vX_[1196] * vX_[435] + vX_[1197] * vX_[449];
+ vX_[1034] = vX_[1171] * vX_[449] + vX_[1160] * vX_[447];
+ vX_[1144] = 0 - vX_[1144];
+ vX_[1200] = vX_[1184] * vX_[435] + vX_[1144] * vX_[449];
+ vX_[1201] = 0 - vX_[1200];
+ vX_[1202] = vX_[1034] + vX_[1201] * vX_[436] + vX_[1190] * vX_[451];
+ vX_[1203] = vX_[1171] * vX_[435] + vX_[1160] * vX_[449];
+ vX_[1204] = vX_[1203] + vX_[1165] * vX_[436];
+ vX_[1205] = vX_[1195] * vX_[449] + vX_[1198] * vX_[447];
+ vX_[1206] = vX_[1205] + vX_[1200] * vX_[355] + vX_[1187] * vX_[451];
+ vX_[1207] = 0 - vX_[1204] + vX_[1206];
+ vX_[1208] = 0 - vX_[1186];
+ vX_[1209] = 0 - vX_[1188];
+ vX_[1189] = vX_[1187] * vX_[573] + vX_[1189] * vX_[518] + vX_[1190] * vX_[414] + vX_[1163] * vX_[452] + vX_[1192] * vX_[463] + vX_[1182] * vX_[443] + vX_[1202] * vX_[437] + vX_[1207] * vX_[434] + vX_[1186] * vX_[567] + vX_[1208] * vX_[570] + vX_[1209] * vX_[517] + vX_[1190] * vX_[521];
+ vX_[1187] = 0 - vX_[1112];
+ vX_[1210] = vX_[1085] * -1 + vX_[1119] * -0.08;
+ vX_[1211] = vX_[1210] + vX_[1079] * -0.35;
+ vX_[1212] = vX_[1211] * 0.881 + (0 - vX_[783]) * 0.1104774 + vX_[787] * 0.0004405;
+ vX_[1213] = vX_[1080] * 0.00185880198235362 + vX_[788] * 0.880992588508842 + vX_[783] * -8.81e-05;
+ vX_[1214] = vX_[1187] * vX_[706] + vX_[1212] * vX_[635] + vX_[1213] * x_in[26];
+ vX_[784] = 0 - vX_[1110] + vX_[789] - vX_[784];
+ vX_[789] = 0 - vX_[1212];
+ vX_[1110] = vX_[1080] * 0.414812462825713 + vX_[788] * 0.00185880198235362 + vX_[787] * 8.81e-05;
+ vX_[1215] = vX_[784] * vX_[706] + vX_[789] * vX_[352] - vX_[1110] * x_in[26];
+ vX_[1216] = 0 - vX_[1128];
+ vX_[1217] = vX_[1210] * 3.146 + (0 - vX_[1079]) * 0.47422804 + vX_[790] * -0.0825825;
+ vX_[1218] = vX_[753] * vX_[411] + vX_[1026] * vX_[410] + vX_[1079] * vX_[387] + vX_[790] * vX_[382];
+ vX_[1219] = vX_[1214] * vX_[357] + vX_[1215] * vX_[359] + vX_[1216] * vX_[628] + vX_[1217] * vX_[626] + vX_[1218] * x_in[25];
+ vX_[1130] = 0 - vX_[1129] + vX_[1130];
+ vX_[1129] = 0 - vX_[1217];
+ vX_[1220] = vX_[753] * vX_[409] + vX_[1026] * vX_[411] + vX_[1079] * vX_[393] + vX_[790] * vX_[392];
+ vX_[1221] = vX_[1214] * vX_[618] + vX_[1215] * vX_[357] + vX_[1130] * vX_[628] + vX_[1129] * vX_[651] - vX_[1220] * x_in[25];
+ vX_[1222] = vX_[1085] * -3.44;
+ vX_[1223] = vX_[1119] * 0.1466472;
+ vX_[1224] = vX_[793] * 0.5824264;
+ vX_[1225] = 0 - vX_[1222] + vX_[1223] - vX_[1224];
+ vX_[1226] = 0 - vX_[1135];
+ vX_[1227] = vX_[1062] * vX_[463] + vX_[1085] * vX_[437] + vX_[1025] * vX_[434] + vX_[1035] * vX_[567] + vX_[793] * vX_[515];
+ vX_[1228] = vX_[1219] * vX_[668] + vX_[1221] * vX_[383] + vX_[1225] * vX_[697] + vX_[1226] * vX_[704] - vX_[1227] * x_in[24];
+ vX_[1229] = vX_[1150] + vX_[1169] + vX_[1168] - vX_[1188] - vX_[1190];
+ vX_[1230] = 0 - vX_[1229];
+ vX_[1162] = vX_[1162] + vX_[1230] * vX_[436];
+ vX_[1152] = vX_[1152] + vX_[1229] * vX_[355];
+ vX_[1231] = 0 - vX_[1192];
+ vX_[1232] = 0 - vX_[1202];
+ vX_[1179] = vX_[751] * vX_[995] + vX_[1153] * vX_[686] + vX_[1164] * vX_[582] + vX_[1175] * vX_[552] + vX_[1149] * vX_[586] + vX_[1179] * vX_[599];
+ vX_[1149] = vX_[1183] + vX_[1179] + vX_[1194] + vX_[1197] - vX_[1203] - vX_[1205];
+ vX_[1206] = vX_[1149] - vX_[1206];
+ vX_[1175] = 0 - vX_[1165];
+ vX_[1164] = 0 - vX_[1186];
+ vX_[1153] = 0 - vX_[1190];
+ vX_[751] = vX_[1138] - vX_[1043];
+ vX_[1233] = vX_[1145] - vX_[1043];
+ vX_[1234] = vX_[804] + vX_[1140];
+ vX_[1235] = vX_[1097] + vX_[1148];
+ vX_[1236] = vX_[1068] + vX_[1147];
+ vX_[1237] = 0 - vX_[1236];
+ vX_[1238] = vX_[751] * vX_[449] + vX_[1234] * vX_[447];
+ vX_[1239] = vX_[1233] * vX_[449];
+ vX_[1240] = vX_[751] * vX_[435] + vX_[1234] * vX_[449];
+ vX_[1241] = vX_[1233] * vX_[447];
+ vX_[1242] = vX_[1240] + vX_[1241];
+ vX_[1243] = vX_[1211] * 0.0004405 + vX_[1080] * -8.81e-05 + vX_[787] * -0.000227999999999999;
+ vX_[1244] = vX_[1211] * 0.1104774 + vX_[788] * -8.81e-05 + (0 - vX_[783]) * 0.025713;
+ vX_[1245] = (0 - vX_[1080]) * 0.0004405;
+ vX_[1246] = (0 - vX_[788]) * 0.1104774;
+ vX_[1247] = vX_[1245] + vX_[1246];
+ vX_[1247] = vX_[1187] * vX_[606] + vX_[784] * vX_[234] + vX_[1243] * vX_[352] + vX_[1244] * vX_[635] + vX_[1247] * vX_[706] + vX_[1247] * vX_[706];
+ vX_[784] = vX_[1210] * -0.0825825 + (0 - vX_[1054]) * 0.000102 + vX_[1079] * 0.007418 + vX_[790] * 0.002735;
+ vX_[1187] = vX_[1210] * 0.47422804 + vX_[1054] * 2.1e-05 + (0 - vX_[1079]) * 0.084376 + (0 - vX_[790]) * 0.007418;
+ vX_[1248] = (0 - vX_[753]) * -0.0825825;
+ vX_[1249] = (0 - vX_[1026]) * 0.47422804;
+ vX_[1250] = vX_[1079] * 0.000102;
+ vX_[1251] = (0 - vX_[790]) * 2.1e-05;
+ vX_[1252] = vX_[1248] + vX_[1249] + vX_[1250] + vX_[1251];
+ vX_[1252] = vX_[1247] + vX_[1214] * vX_[612] + vX_[1215] * vX_[362] + vX_[1216] * vX_[653] + vX_[1130] * vX_[649] + vX_[784] * vX_[651] + vX_[1187] * vX_[626] + vX_[1252] * vX_[628] + vX_[1252] * vX_[628];
+ vX_[1130] = vX_[1085] * 0.5824264 + (0 - vX_[1119]) * -0.022734 + vX_[1035] * -3.6e-05 + vX_[793] * -0.133138;
+ vX_[1216] = vX_[1085] * 0.1466472 + vX_[1119] * 0.009466 + (0 - vX_[1035]) * -5.1e-05 + vX_[793] * -0.022734;
+ vX_[1253] = (0 - vX_[1062]) * 0.5824264;
+ vX_[1254] = (0 - vX_[1025]) * 0.1466472;
+ vX_[1255] = (0 - vX_[1119]) * -3.6e-05;
+ vX_[1256] = (0 - vX_[793]) * -5.1e-05;
+ vX_[1257] = vX_[1253] + vX_[1254] + vX_[1255] - vX_[1256];
+ vX_[1258] = vX_[1062] * vX_[468] + vX_[1085] * vX_[515] + vX_[1025] * vX_[570] + vX_[1035] * vX_[569] + vX_[793] * vX_[431];
+ vX_[1257] = vX_[1219] * vX_[662] + vX_[1221] * vX_[401] + vX_[1252] * -1 + vX_[1133] * vX_[702] + vX_[1226] * vX_[690] + vX_[1130] * vX_[697] + vX_[1216] * vX_[664] + vX_[1257] * vX_[704] + vX_[1257] * vX_[704] + vX_[1258] * x_in[24];
+ vX_[786] = vX_[1080] * 0.1104774 + vX_[788] * 0.0004405 + vX_[786] * 0.025941;
+ vX_[1226] = (0 - vX_[1211]) * -8.81e-05;
+ vX_[1246] = vX_[1226] + vX_[1246];
+ vX_[787] = vX_[1211] * 0.0004405 + vX_[1080] * 8.81e-05 + vX_[787] * 0.000468;
+ vX_[1246] = vX_[1112] * vX_[731] + vX_[789] * vX_[234] + vX_[1243] * vX_[706] + vX_[786] * vX_[635] + vX_[1246] * vX_[352] + vX_[1246] * vX_[352] + vX_[787] * x_in[26];
+ vX_[1226] = vX_[1226] + vX_[1245];
+ vX_[1211] = vX_[1211] * -0.1104774 + vX_[788] * -8.81e-05 + vX_[783] * 0.026409;
+ jac[955] = vX_[1110] * vX_[737] + vX_[1213] * vX_[606] + vX_[1211] * vX_[709] + vX_[787] * vX_[352] + vX_[1247];
+ vX_[1211] = vX_[1126] * vX_[731] + vX_[1212] * vX_[606] + vX_[1244] * vX_[706] + vX_[786] * vX_[352] + vX_[1226] * vX_[635] + vX_[1226] * vX_[635] - vX_[1211] * x_in[26];
+ vX_[1226] = vX_[753] * 0.47422804 + vX_[1026] * -0.0825825 + vX_[1054] * 0.081641 + (0 - vX_[1079]) * 2.1e-05 + vX_[790] * 0.000102;
+ vX_[786] = (0 - vX_[1054]) * 0.007418;
+ vX_[1251] = vX_[1249] + vX_[786] - vX_[1251];
+ vX_[1249] = vX_[1210] * vX_[377] + vX_[753] * vX_[392] + vX_[1026] * vX_[382] + vX_[1079] * vX_[426] + vX_[790] * vX_[422];
+ vX_[1251] = vX_[1127] * -0.35 + vX_[1246] * vX_[357] + vX_[1211] * vX_[359] + vX_[1128] * vX_[730] + vX_[1129] * vX_[649] + vX_[784] * vX_[628] + vX_[1226] * vX_[626] + vX_[1251] * vX_[651] + vX_[1251] * vX_[651] + vX_[1249] * x_in[25];
+ vX_[786] = vX_[1248] - vX_[786] - vX_[1250];
+ vX_[1250] = vX_[1210] * vX_[389] + vX_[753] * vX_[393] + vX_[1026] * vX_[387] + vX_[1079] * vX_[420] + vX_[790] * vX_[426];
+ jac[919] = vX_[1220] * vX_[739] + vX_[1218] * vX_[653] + vX_[1250] * vX_[715] + vX_[1249] * vX_[651] + vX_[1252];
+ vX_[1250] = vX_[1246] * vX_[360] + vX_[1211] * vX_[357] + vX_[1131] * vX_[730] + vX_[1217] * vX_[653] + vX_[1187] * vX_[628] + vX_[1226] * vX_[651] + vX_[786] * vX_[626] + vX_[786] * vX_[626] - vX_[1250] * x_in[25];
+ vX_[1224] = vX_[1222] - vX_[1223] + vX_[1224];
+ vX_[1223] = vX_[1062] * 0.1466472 + vX_[1025] * 0.5824264 + vX_[1119] * -5.1e-05 + (0 - vX_[1035]) * -0.123672 + (0 - vX_[793]) * -3.6e-05;
+ vX_[1222] = vX_[1035] * -0.022734;
+ vX_[1255] = vX_[1253] - vX_[1255] - vX_[1222];
+ vX_[1253] = vX_[1062] * vX_[405] + vX_[1085] * vX_[567] + vX_[1025] * vX_[516] + vX_[1035] * vX_[514] + vX_[793] * vX_[569];
+ vX_[1255] = vX_[1251] * vX_[395] + vX_[1250] * vX_[383] + vX_[1224] * vX_[702] + vX_[1135] * vX_[725] + vX_[1223] * vX_[697] + vX_[1216] * vX_[704] + vX_[1255] * vX_[664] + vX_[1255] * vX_[664] - vX_[1253] * x_in[24];
+ vX_[1216] = 0 - vX_[1162];
+ vX_[1135] = 0 - vX_[1152];
+ vX_[1149] = 0 - vX_[1149] + vX_[1204];
+ vX_[1204] = 0 - vX_[1200];
+ vX_[1236] = 0 - vX_[1236];
+ jac[235] = 0 - (0 - (vX_[1096] * vX_[718] + vX_[1137] * x_in[22]) + (vX_[1063] * vX_[718] + vX_[1189] * vX_[449] + vX_[1137] * x_in[20]) * -0.3735 - (vX_[1028] * vX_[949] + vX_[1228] * x_in[23]) + (vX_[670] * vX_[949] + vX_[1228] * x_in[19]) * 0.3735 + (vX_[752] * vX_[949] + (vX_[1154] * vX_[518] + vX_[1200] * vX_[573] + vX_[1229] * vX_[462] + vX_[1191] * vX_[464] + vX_[1162] * vX_[434] + vX_[1152] * vX_[443] + vX_[1231] * vX_[446] + vX_[1232] * vX_[463] + vX_[1206] * vX_[452] + vX_[1175] * vX_[516] + vX_[1200] * vX_[570] + vX_[1164] * vX_[405] + vX_[1153] * vX_[523]) * -1 + vX_[1228] * x_in[18]) * -0.207 - (vX_[1063] * vX_[688] + vX_[670] * vX_[747] + vX_[751] * vX_[681] + vX_[1233] * vX_[679] + vX_[1234] * vX_[677] + vX_[1235] * vX_[654] + vX_[1237] * vX_[452] + vX_[1238] * vX_[658] + vX_[1239] * vX_[657] + vX_[1242] * vX_[434] + vX_[1193] * vX_[643] + vX_[1196] * vX_[623] + vX_[1038] * vX_[470] + vX_[1146] * vX_[460] + vX_[1194] * vX_[642] + vX_[1197] * vX_[620] + vX_[1171] * vX_[619] + vX_[1195] * vX_[621] + vX_[1160] * vX_[572] + vX_[1198] * vX_[622] + vX_[1174] * vX_[459] + vX_[1173] * vX_[469] + vX_[1157] * vX_[579] + vX_[1156] * vX_[577] + vX_[1058] * vX_[575] + vX_[1184] * vX_[596] + vX_[1144] * vX_[597] + vX_[1167] * vX_[524] + vX_[1060] * vX_[520] + vX_[1061] * vX_[574] + vX_[1189] * vX_[450] + vX_[1257] * x_in[19] + vX_[1255] * x_in[20])) * vX_[1083] + (vX_[1028] * vX_[718] + vX_[1063] * vX_[747] + vX_[751] * vX_[677] + vX_[1235] * vX_[452] + vX_[1240] * vX_[657] + vX_[1238] * vX_[434] + vX_[1196] * vX_[620] + vX_[1038] * vX_[460] + vX_[1194] * vX_[643] + vX_[1171] * vX_[572] + vX_[1195] * vX_[622] + vX_[1174] * vX_[469] + vX_[1157] * vX_[575] + vX_[1184] * vX_[597] + vX_[1166] * vX_[520] + vX_[1167] * vX_[574] + (vX_[1165] * vX_[571] + vX_[1201] * vX_[414] + vX_[1186] * vX_[464] + vX_[1230] * vX_[438] + vX_[1188] * vX_[453] + vX_[1216] * vX_[437] + vX_[1041] * vX_[446] + vX_[1135] * vX_[434] + vX_[1024] * vX_[452] + vX_[1149] * vX_[463] + vX_[1165] * vX_[567] + vX_[1204] * vX_[515] + vX_[1186] * vX_[468] + vX_[1188] * vX_[512]) * 0.207 + vX_[1137] * x_in[23] + vX_[1257] * x_in[20] + (vX_[670] * vX_[718] + vX_[1189] * vX_[447] + vX_[1137] * x_in[19]) * -0.3735 + (vX_[752] * vX_[718] + vX_[1137] * x_in[18]) * 0.207 - (vX_[1096] * vX_[949] + vX_[1228] * x_in[22]) + (vX_[1063] * vX_[949] + vX_[1228] * x_in[20]) * -0.3735 - (vX_[670] * vX_[688] + vX_[1233] * vX_[678] + vX_[1234] * vX_[681] + vX_[1236] * vX_[654] + vX_[1239] * vX_[434] + vX_[1241] * vX_[658] + vX_[1193] * vX_[642] + vX_[1146] * vX_[470] + vX_[1197] * vX_[623] + vX_[1160] * vX_[619] + vX_[1198] * vX_[621] + vX_[1173] * vX_[459] + vX_[1156] * vX_[576] + vX_[1058] * vX_[579] + vX_[1176] * vX_[596] + vX_[1060] * vX_[574] + vX_[1155] * vX_[524] + vX_[1189] * vX_[448] + vX_[1255] * x_in[19])) * vX_[1093];
+ vX_[1234] = 0 - vX_[645];
+ vX_[1233] = vX_[566] + vX_[1234] * vX_[684];
+ vX_[751] = 0 - vX_[645];
+ vX_[1230] = 0 - vX_[1233];
+ vX_[1229] = (vX_[694] + vX_[751] * vX_[700] + vX_[1230] * vX_[674]) * 1 / vX_[682];
+ vX_[1189] = 0 - vX_[1229];
+ vX_[1233] = (vX_[1233] + vX_[1189] * vX_[705]) * 1 / vX_[680];
+ vX_[1201] = 0 - vX_[1229];
+ vX_[1144] = 0 - vX_[1233];
+ vX_[1160] = (vX_[645] + vX_[1201] * vX_[699] + vX_[1144] * vX_[655]) * 1 / vX_[683];
+ vX_[1171] = 0 - vX_[1229];
+ vX_[1154] = 0 - vX_[1233];
+ vX_[1176] = 0 - vX_[1160];
+ vX_[1184] = (-1 + vX_[1171] * vX_[595] + vX_[1154] * vX_[644] + vX_[1176] * vX_[550]) * 1 / vX_[580];
+ vX_[1198] = vX_[1160] * -1 + vX_[1184] * 0.207;
+ vX_[1197] = 0 - vX_[1229];
+ vX_[1196] = 0 - vX_[1233];
+ vX_[1195] = 0 - vX_[1160];
+ vX_[1194] = 0 - vX_[1184];
+ vX_[1193] = (vX_[1197] * vX_[691] + vX_[1196] * vX_[624] + vX_[1195] * vX_[471] + vX_[1194] * vX_[629]) * 1 / vX_[578];
+ vX_[1191] = 0 - vX_[1229];
+ vX_[1173] = 0 - vX_[1233];
+ vX_[1038] = 0 - vX_[1160];
+ vX_[1174] = 0 - vX_[1184];
+ vX_[1146] = 0 - vX_[1193];
+ vX_[1061] = (vX_[1191] * vX_[536] + vX_[1173] * vX_[472] + vX_[1038] * vX_[656] + vX_[1174] * vX_[590] + vX_[1146] * vX_[598]) * 1 / vX_[581];
+ vX_[1155] = vX_[1229] * vX_[583] + vX_[1233] * vX_[587] + vX_[1184] * vX_[696] + vX_[1193] * vX_[591] + vX_[1061] * vX_[354];
+ vX_[1166] = vX_[1184] * vX_[435] + vX_[1193] * vX_[449];
+ vX_[1060] = vX_[1198] * vX_[383] + vX_[1155] * vX_[668] + vX_[1166] * vX_[662];
+ vX_[1156] = vX_[1198] * vX_[356] + vX_[1155] * vX_[383] + vX_[1166] * vX_[401];
+ vX_[1167] = vX_[1166] * -1;
+ vX_[1058] = vX_[1060] * 1 / vX_[380];
+ vX_[1157] = vX_[1156] * 1 / vX_[380];
+ vX_[786] = vX_[1167] * 1 / vX_[380];
+ vX_[1226] = vX_[1061] * -1;
+ vX_[1187] = vX_[1198] * 1 / vX_[432];
+ vX_[1217] = vX_[1229] * vX_[435] + vX_[1233] * vX_[353] + vX_[1184] * vX_[450] + vX_[1193] * vX_[448] + vX_[1061] * vX_[724];
+ vX_[1131] = vX_[1217] * 1 / vX_[432];
+ vX_[1249] = vX_[1155] * 1 / vX_[432];
+ vX_[1252] = vX_[1226] * 1 / vX_[432];
+ vX_[1220] = vX_[1166] * 1 / vX_[432];
+ vX_[1218] = vX_[1184] * vX_[449] + vX_[1193] * vX_[447];
+ vX_[1248] = vX_[1218] * 1 / vX_[432];
+ vX_[1226] = vX_[1226] - (vX_[1187] * vX_[444] + vX_[1131] * vX_[406] + vX_[1249] * vX_[396] + vX_[1252] * vX_[432] + vX_[1220] * vX_[458] + vX_[1248] * vX_[467]);
+ vX_[784] = vX_[1226] * vX_[383] + vX_[1218] * vX_[395];
+ vX_[1129] = vX_[784] * 1 / vX_[380];
+ vX_[1128] = vX_[1226] * vX_[356] + vX_[1218] * vX_[383];
+ vX_[1127] = vX_[1128] * 1 / vX_[380];
+ vX_[1167] = vX_[1167] - (vX_[1058] * vX_[390] + vX_[1157] * vX_[378] + vX_[786] * vX_[380] + vX_[1129] * vX_[386] + vX_[1127] * vX_[368]);
+ vX_[1244] = vX_[1060] * vX_[359] + vX_[1156] * vX_[357] + vX_[1167] * vX_[362];
+ vX_[1212] = vX_[1060] * vX_[357] + vX_[1156] * vX_[618] + vX_[1167] * vX_[612];
+ vX_[1126] = vX_[1167] - (vX_[1212] * 38.1956380581338 * 0.1104774 + vX_[1244] * 38.1956380581338 * -0.0004405 + vX_[1167] * 38.1956380581338 * 0.026181);
+ vX_[787] = vX_[784] * vX_[357] + vX_[1128] * vX_[360];
+ vX_[1247] = vX_[1244] * 0.881 + (0 - vX_[1126]) * 0.0004405 + vX_[787] * -8.81e-05;
+ vX_[1110] = vX_[1212] * -0.881;
+ vX_[1213] = vX_[1126] * 0.1104774;
+ vX_[783] = vX_[784] * vX_[359] + vX_[1128] * vX_[357];
+ vX_[788] = vX_[783] * -8.81e-05;
+ vX_[1245] = vX_[1110] - vX_[1213] + vX_[788];
+ vX_[1243] = vX_[1247] * vX_[352] + vX_[1245] * vX_[635];
+ vX_[789] = vX_[1156] * 3.146 + (0 - vX_[1167]) * -0.0825825;
+ vX_[1112] = vX_[1060] * -3.146;
+ vX_[1080] = vX_[1167] * 0.47422804;
+ vX_[1259] = vX_[1112] - vX_[1080];
+ vX_[1260] = vX_[1243] + vX_[789] * vX_[651] + vX_[1259] * vX_[626];
+ vX_[1261] = vX_[1155] * 3.44 + vX_[1166] * 0.5824264;
+ vX_[1262] = 0 - vX_[1261];
+ vX_[1263] = vX_[1198] * 3.44 + (0 - vX_[1166]) * 0.1466472;
+ vX_[1264] = vX_[1198] * vX_[452] + vX_[1217] * vX_[434] + vX_[1155] * vX_[443] + vX_[1166] * vX_[516] + vX_[1218] * vX_[570];
+ vX_[1265] = vX_[1260] * -1 + vX_[1262] * vX_[697] + vX_[1263] * vX_[664] + vX_[1264] * x_in[24];
+ vX_[1266] = 0 - vX_[1229] * vX_[1014];
+ vX_[1267] = 0 - vX_[1266];
+ vX_[1268] = 0 - vX_[1266];
+ vX_[1230] = (vX_[1230] * vX_[1014] + vX_[1268] * vX_[705]) * 1 / vX_[680];
+ vX_[1269] = 0 - vX_[1230];
+ vX_[1270] = 0 - vX_[1266];
+ vX_[1271] = 0 - vX_[1230];
+ vX_[751] = (vX_[751] * vX_[1014] + vX_[1270] * vX_[699] + vX_[1271] * vX_[655]) * 1 / vX_[683];
+ vX_[1272] = 0 - vX_[751];
+ vX_[1273] = (vX_[1014] + vX_[1267] * vX_[595] + vX_[1269] * vX_[644] + vX_[1272] * vX_[550]) * 1 / vX_[580];
+ vX_[1268] = vX_[1189] * vX_[703] + vX_[1268] * vX_[674];
+ vX_[1189] = 0 - vX_[1268];
+ vX_[1274] = 0 - vX_[1233] * vX_[703] - vX_[1230] * vX_[674];
+ vX_[1275] = 0 - vX_[1274];
+ vX_[1276] = 0 - vX_[1268];
+ vX_[1277] = 0 - vX_[1274];
+ vX_[1234] = (vX_[1234] * vX_[728] + vX_[1276] * vX_[699] + vX_[1277] * vX_[655]) * 1 / vX_[683];
+ vX_[1278] = 0 - vX_[1234];
+ vX_[1279] = (vX_[728] + vX_[1189] * vX_[595] + vX_[1275] * vX_[644] + vX_[1278] * vX_[550]) * 1 / vX_[580];
+ vX_[1276] = vX_[1201] * vX_[1016] + vX_[1270] * vX_[700] + vX_[1276] * vX_[684];
+ vX_[1270] = 0 - vX_[1276];
+ vX_[1277] = vX_[1144] * vX_[1016] + vX_[1271] * vX_[700] + vX_[1277] * vX_[684];
+ vX_[1271] = 0 - vX_[1277];
+ vX_[1144] = 0 - vX_[1160] * vX_[1016] - vX_[751] * vX_[700] - vX_[1234] * vX_[684];
+ vX_[1201] = 0 - vX_[1144];
+ vX_[1280] = (vX_[1018] + vX_[1270] * vX_[595] + vX_[1271] * vX_[644] + vX_[1201] * vX_[550]) * 1 / vX_[580];
+ vX_[1281] = 0 - vX_[1184] * vX_[861] - vX_[1273] * vX_[694] - vX_[1279] * vX_[566] - vX_[1280] * vX_[645];
+ vX_[1282] = 0 - vX_[1266];
+ vX_[1283] = 0 - vX_[1230];
+ vX_[1284] = 0 - vX_[751];
+ vX_[1285] = 0 - vX_[1273];
+ vX_[1286] = 0 - vX_[1266];
+ vX_[1287] = 0 - vX_[1230];
+ vX_[1288] = 0 - vX_[751];
+ vX_[1289] = 0 - vX_[1273];
+ vX_[1290] = (vX_[1286] * vX_[691] + vX_[1287] * vX_[624] + vX_[1288] * vX_[471] + vX_[1289] * vX_[629]) * 1 / vX_[578];
+ vX_[1291] = 0 - vX_[1290];
+ vX_[1292] = (vX_[1282] * vX_[536] + vX_[1283] * vX_[472] + vX_[1284] * vX_[656] + vX_[1285] * vX_[590] + vX_[1291] * vX_[598]) * 1 / vX_[581];
+ vX_[1293] = 0 - vX_[1268];
+ vX_[1294] = 0 - vX_[1274];
+ vX_[1295] = 0 - vX_[1234];
+ vX_[1296] = 0 - vX_[1279];
+ vX_[1297] = 0 - vX_[1268];
+ vX_[1298] = 0 - vX_[1274];
+ vX_[1299] = 0 - vX_[1234];
+ vX_[1300] = 0 - vX_[1279];
+ vX_[1301] = (vX_[1297] * vX_[691] + vX_[1298] * vX_[624] + vX_[1299] * vX_[471] + vX_[1300] * vX_[629]) * 1 / vX_[578];
+ vX_[1302] = 0 - vX_[1301];
+ vX_[1303] = (vX_[1293] * vX_[536] + vX_[1294] * vX_[472] + vX_[1295] * vX_[656] + vX_[1296] * vX_[590] + vX_[1302] * vX_[598]) * 1 / vX_[581];
+ vX_[1304] = 0 - vX_[1276];
+ vX_[1305] = 0 - vX_[1277];
+ vX_[1306] = 0 - vX_[1144];
+ vX_[1307] = 0 - vX_[1280];
+ vX_[1308] = 0 - vX_[1276];
+ vX_[1309] = 0 - vX_[1277];
+ vX_[1310] = 0 - vX_[1144];
+ vX_[1311] = 0 - vX_[1280];
+ vX_[1312] = (vX_[1308] * vX_[691] + vX_[1309] * vX_[624] + vX_[1310] * vX_[471] + vX_[1311] * vX_[629]) * 1 / vX_[578];
+ vX_[1313] = 0 - vX_[1312];
+ vX_[1314] = (vX_[1304] * vX_[536] + vX_[1305] * vX_[472] + vX_[1306] * vX_[656] + vX_[1307] * vX_[590] + vX_[1313] * vX_[598]) * 1 / vX_[581];
+ vX_[1270] = vX_[1171] * vX_[861] + vX_[1267] * vX_[694] + vX_[1189] * vX_[566] + vX_[1270] * vX_[645];
+ vX_[1189] = 0 - vX_[1270];
+ vX_[1271] = vX_[1154] * vX_[861] + vX_[1269] * vX_[694] + vX_[1275] * vX_[566] + vX_[1271] * vX_[645];
+ vX_[1275] = 0 - vX_[1271];
+ vX_[1201] = vX_[1176] * vX_[861] + vX_[1272] * vX_[694] + vX_[1278] * vX_[566] + vX_[1201] * vX_[645];
+ vX_[1278] = 0 - vX_[1201];
+ vX_[1272] = 0 - vX_[1281];
+ vX_[1176] = 0 - vX_[1270];
+ vX_[1269] = 0 - vX_[1271];
+ vX_[1154] = 0 - vX_[1201];
+ vX_[1267] = 0 - vX_[1281];
+ vX_[1171] = (vX_[1176] * vX_[691] + vX_[1269] * vX_[624] + vX_[1154] * vX_[471] + vX_[1267] * vX_[629]) * 1 / vX_[578];
+ vX_[1315] = 0 - vX_[1171];
+ vX_[1316] = (vX_[1189] * vX_[536] + vX_[1275] * vX_[472] + vX_[1278] * vX_[656] + vX_[1272] * vX_[590] + vX_[1315] * vX_[598]) * 1 / vX_[581];
+ vX_[1176] = vX_[1197] * vX_[922] + vX_[1286] * vX_[692] + vX_[1297] * vX_[564] + vX_[1308] * vX_[519] + vX_[1176] * vX_[630];
+ vX_[1308] = 0 - vX_[1176];
+ vX_[1269] = vX_[1196] * vX_[922] + vX_[1287] * vX_[692] + vX_[1298] * vX_[564] + vX_[1309] * vX_[519] + vX_[1269] * vX_[630];
+ vX_[1309] = 0 - vX_[1269];
+ vX_[1154] = vX_[1195] * vX_[922] + vX_[1288] * vX_[692] + vX_[1299] * vX_[564] + vX_[1310] * vX_[519] + vX_[1154] * vX_[630];
+ vX_[1310] = 0 - vX_[1154];
+ vX_[1267] = vX_[1194] * vX_[922] + vX_[1289] * vX_[692] + vX_[1300] * vX_[564] + vX_[1311] * vX_[519] + vX_[1267] * vX_[630];
+ vX_[1311] = 0 - vX_[1267];
+ vX_[1300] = 0 - vX_[1193] * vX_[922] - vX_[1290] * vX_[692] - vX_[1301] * vX_[564] - vX_[1312] * vX_[519] - vX_[1171] * vX_[630];
+ vX_[1289] = 0 - vX_[1300];
+ vX_[1194] = (vX_[1308] * vX_[536] + vX_[1309] * vX_[472] + vX_[1310] * vX_[656] + vX_[1311] * vX_[590] + vX_[1289] * vX_[598]) * 1 / vX_[581];
+ vX_[1299] = 0 - vX_[1061] * vX_[995] - vX_[1292] * vX_[686] - vX_[1303] * vX_[582] - vX_[1314] * vX_[552] - vX_[1316] * vX_[586] - vX_[1194] * vX_[599];
+ vX_[1288] = vX_[1281] - vX_[1299];
+ vX_[1195] = vX_[1171] + vX_[1267];
+ vX_[1298] = vX_[1288] * vX_[449] + vX_[1195] * vX_[447];
+ vX_[1287] = vX_[1300] - vX_[1299];
+ vX_[1196] = vX_[1287] * vX_[449];
+ vX_[1297] = vX_[1288] * vX_[435] + vX_[1195] * vX_[449];
+ vX_[1286] = vX_[1287] * vX_[447];
+ vX_[1197] = vX_[1297] + vX_[1286];
+ vX_[1317] = vX_[1298] * vX_[435] + vX_[1196] * vX_[447] + vX_[1197] * vX_[449];
+ vX_[1318] = 0 - vX_[1317];
+ vX_[1319] = vX_[1299] + vX_[1297] * vX_[435] + vX_[1196] * vX_[449];
+ vX_[1320] = 0 - vX_[1319];
+ vX_[1321] = vX_[1299] + vX_[1298] * vX_[449] + vX_[1286] * vX_[447];
+ vX_[1309] = vX_[1173] * vX_[995] + vX_[1283] * vX_[686] + vX_[1294] * vX_[582] + vX_[1305] * vX_[552] + vX_[1275] * vX_[586] + vX_[1309] * vX_[599];
+ vX_[1275] = vX_[1303] + vX_[1309];
+ vX_[1305] = vX_[1312] + vX_[1154] - vX_[1275];
+ vX_[1308] = vX_[1191] * vX_[995] + vX_[1282] * vX_[686] + vX_[1293] * vX_[582] + vX_[1304] * vX_[552] + vX_[1189] * vX_[586] + vX_[1308] * vX_[599];
+ vX_[1189] = vX_[1292] + vX_[1308];
+ vX_[1304] = 0 - (vX_[1280] + vX_[1201]) + vX_[1189];
+ vX_[1293] = (vX_[1189] * vX_[435] + vX_[1275] * vX_[449]) * -1;
+ vX_[1282] = 0 - (vX_[1305] * vX_[449] + vX_[1304] * vX_[447]) + vX_[1293];
+ vX_[1191] = vX_[1282] + vX_[1319] * vX_[436];
+ vX_[1294] = 0 - vX_[1191];
+ vX_[1283] = (vX_[1189] * vX_[449] + vX_[1275] * vX_[447]) * -1;
+ vX_[1173] = vX_[1305] * vX_[435] + vX_[1304] * vX_[449] + vX_[1283];
+ vX_[1322] = 0 - vX_[1321];
+ vX_[1323] = vX_[1173] + vX_[1317] * vX_[436] + vX_[1322] * vX_[355];
+ vX_[1324] = vX_[1279] + vX_[1271];
+ vX_[1325] = vX_[1273] + vX_[1270];
+ vX_[1326] = vX_[1324] * vX_[447] + vX_[1325] * vX_[449];
+ vX_[1327] = vX_[1290] + vX_[1176];
+ vX_[1328] = vX_[1301] + vX_[1269];
+ vX_[1329] = vX_[1327] * vX_[449] + vX_[1328] * vX_[447];
+ vX_[1330] = vX_[1326] * vX_[435] + vX_[1329] * vX_[449];
+ vX_[1289] = vX_[1146] * vX_[995] + vX_[1291] * vX_[686] + vX_[1302] * vX_[582] + vX_[1313] * vX_[552] + vX_[1315] * vX_[586] + vX_[1289] * vX_[599];
+ vX_[1315] = vX_[1194] + vX_[1289];
+ vX_[1311] = vX_[1174] * vX_[995] + vX_[1285] * vX_[686] + vX_[1296] * vX_[582] + vX_[1307] * vX_[552] + vX_[1272] * vX_[586] + vX_[1311] * vX_[599];
+ vX_[1272] = vX_[1316] + vX_[1311];
+ vX_[1307] = 0 - vX_[1272];
+ vX_[1296] = vX_[1315] * vX_[449] + vX_[1307] * vX_[447];
+ vX_[1285] = 0 - vX_[1296];
+ vX_[1174] = vX_[1330] + vX_[1285] * vX_[355] + vX_[1320] * vX_[451];
+ vX_[1313] = 0 - vX_[1174];
+ vX_[1302] = vX_[1324] * vX_[449] + vX_[1325] * vX_[435];
+ vX_[1291] = vX_[1327] * vX_[435] + vX_[1328] * vX_[449];
+ vX_[1146] = vX_[1302] * vX_[449] + vX_[1291] * vX_[447];
+ vX_[1272] = 0 - vX_[1272];
+ vX_[1331] = vX_[1315] * vX_[435] + vX_[1272] * vX_[449];
+ vX_[1332] = 0 - vX_[1331];
+ vX_[1333] = vX_[1146] + vX_[1332] * vX_[436] + vX_[1321] * vX_[451];
+ vX_[1334] = vX_[1302] * vX_[435] + vX_[1291] * vX_[449];
+ vX_[1335] = vX_[1334] + vX_[1296] * vX_[436];
+ vX_[1336] = vX_[1326] * vX_[449] + vX_[1329] * vX_[447];
+ vX_[1337] = vX_[1336] + vX_[1331] * vX_[355] + vX_[1318] * vX_[451];
+ vX_[1338] = 0 - vX_[1335] + vX_[1337];
+ vX_[1339] = 0 - vX_[1317];
+ vX_[1340] = 0 - vX_[1319];
+ vX_[1320] = vX_[1318] * vX_[573] + vX_[1320] * vX_[518] + vX_[1321] * vX_[414] + vX_[1294] * vX_[452] + vX_[1323] * vX_[463] + vX_[1313] * vX_[443] + vX_[1333] * vX_[437] + vX_[1338] * vX_[434] + vX_[1317] * vX_[567] + vX_[1339] * vX_[570] + vX_[1340] * vX_[517] + vX_[1321] * vX_[521];
+ vX_[1318] = 0 - vX_[1247];
+ vX_[1341] = vX_[1217] * -1 + vX_[1226] * -0.08;
+ vX_[1342] = vX_[1341] + vX_[784] * -0.35;
+ vX_[1343] = vX_[1342] * 0.881 + (0 - vX_[787]) * 0.1104774 + vX_[783] * 0.0004405;
+ vX_[1344] = vX_[1212] * 0.00185880198235362 + vX_[1244] * 0.880992588508842 + vX_[787] * -8.81e-05;
+ vX_[1345] = vX_[1318] * vX_[706] + vX_[1343] * vX_[635] + vX_[1344] * x_in[26];
+ vX_[788] = 0 - vX_[1110] + vX_[1213] - vX_[788];
+ vX_[1213] = 0 - vX_[1343];
+ vX_[1110] = vX_[1212] * 0.414812462825713 + vX_[1244] * 0.00185880198235362 + vX_[783] * 8.81e-05;
+ vX_[1346] = vX_[788] * vX_[706] + vX_[1213] * vX_[352] - vX_[1110] * x_in[26];
+ vX_[1347] = 0 - vX_[789];
+ vX_[1348] = vX_[1341] * 3.146 + (0 - vX_[784]) * 0.47422804 + vX_[1128] * -0.0825825;
+ vX_[1349] = vX_[1060] * vX_[411] + vX_[1156] * vX_[410] + vX_[784] * vX_[387] + vX_[1128] * vX_[382];
+ vX_[1350] = vX_[1345] * vX_[357] + vX_[1346] * vX_[359] + vX_[1347] * vX_[628] + vX_[1348] * vX_[626] + vX_[1349] * x_in[25];
+ vX_[1080] = 0 - vX_[1112] + vX_[1080];
+ vX_[1112] = 0 - vX_[1348];
+ vX_[1351] = vX_[1060] * vX_[409] + vX_[1156] * vX_[411] + vX_[784] * vX_[393] + vX_[1128] * vX_[392];
+ vX_[1352] = vX_[1345] * vX_[618] + vX_[1346] * vX_[357] + vX_[1080] * vX_[628] + vX_[1112] * vX_[651] - vX_[1351] * x_in[25];
+ vX_[1353] = vX_[1217] * -3.44;
+ vX_[1354] = vX_[1226] * 0.1466472;
+ vX_[1355] = vX_[1218] * 0.5824264;
+ vX_[1356] = 0 - vX_[1353] + vX_[1354] - vX_[1355];
+ vX_[1357] = 0 - vX_[1263];
+ vX_[1358] = vX_[1198] * vX_[463] + vX_[1217] * vX_[437] + vX_[1155] * vX_[434] + vX_[1166] * vX_[567] + vX_[1218] * vX_[515];
+ vX_[1359] = vX_[1350] * vX_[668] + vX_[1352] * vX_[383] + vX_[1356] * vX_[697] + vX_[1357] * vX_[704] - vX_[1358] * x_in[24];
+ vX_[1360] = vX_[1281] + vX_[1300] + vX_[1299] - vX_[1319] - vX_[1321];
+ vX_[1361] = 0 - vX_[1360];
+ vX_[1293] = vX_[1293] + vX_[1361] * vX_[436];
+ vX_[1283] = vX_[1283] + vX_[1360] * vX_[355];
+ vX_[1362] = 0 - vX_[1323];
+ vX_[1363] = 0 - vX_[1333];
+ vX_[1310] = vX_[1038] * vX_[995] + vX_[1284] * vX_[686] + vX_[1295] * vX_[582] + vX_[1306] * vX_[552] + vX_[1278] * vX_[586] + vX_[1310] * vX_[599];
+ vX_[1278] = vX_[1314] + vX_[1310] + vX_[1325] + vX_[1328] - vX_[1334] - vX_[1336];
+ vX_[1337] = vX_[1278] - vX_[1337];
+ vX_[1306] = 0 - vX_[1296];
+ vX_[1295] = 0 - vX_[1317];
+ vX_[1284] = 0 - vX_[1321];
+ vX_[1038] = vX_[1266] - vX_[1144];
+ vX_[1364] = vX_[1274] - vX_[1144];
+ vX_[1365] = vX_[1230] + vX_[1268];
+ vX_[1366] = vX_[1234] + vX_[1277];
+ vX_[1367] = vX_[751] + vX_[1276];
+ vX_[1368] = 0 - vX_[1367];
+ vX_[1369] = vX_[1038] * vX_[449] + vX_[1365] * vX_[447];
+ vX_[1370] = vX_[1364] * vX_[449];
+ vX_[1371] = vX_[1038] * vX_[435] + vX_[1365] * vX_[449];
+ vX_[1372] = vX_[1364] * vX_[447];
+ vX_[1373] = vX_[1371] + vX_[1372];
+ vX_[1374] = vX_[1342] * 0.0004405 + vX_[1212] * -8.81e-05 + vX_[783] * -0.000227999999999999;
+ vX_[1375] = vX_[1342] * 0.1104774 + vX_[1244] * -8.81e-05 + (0 - vX_[787]) * 0.025713;
+ vX_[1376] = (0 - vX_[1212]) * 0.0004405;
+ vX_[1377] = (0 - vX_[1244]) * 0.1104774;
+ vX_[1378] = vX_[1376] + vX_[1377];
+ vX_[1378] = vX_[1318] * vX_[606] + vX_[788] * vX_[234] + vX_[1374] * vX_[352] + vX_[1375] * vX_[635] + vX_[1378] * vX_[706] + vX_[1378] * vX_[706];
+ vX_[788] = vX_[1341] * -0.0825825 + (0 - vX_[1167]) * 0.000102 + vX_[784] * 0.007418 + vX_[1128] * 0.002735;
+ vX_[1318] = vX_[1341] * 0.47422804 + vX_[1167] * 2.1e-05 + (0 - vX_[784]) * 0.084376 + (0 - vX_[1128]) * 0.007418;
+ vX_[1379] = (0 - vX_[1060]) * -0.0825825;
+ vX_[1380] = (0 - vX_[1156]) * 0.47422804;
+ vX_[1381] = vX_[784] * 0.000102;
+ vX_[1382] = (0 - vX_[1128]) * 2.1e-05;
+ vX_[1383] = vX_[1379] + vX_[1380] + vX_[1381] + vX_[1382];
+ vX_[1383] = vX_[1378] + vX_[1345] * vX_[612] + vX_[1346] * vX_[362] + vX_[1347] * vX_[653] + vX_[1080] * vX_[649] + vX_[788] * vX_[651] + vX_[1318] * vX_[626] + vX_[1383] * vX_[628] + vX_[1383] * vX_[628];
+ vX_[1080] = vX_[1217] * 0.5824264 + (0 - vX_[1226]) * -0.022734 + vX_[1166] * -3.6e-05 + vX_[1218] * -0.133138;
+ vX_[1347] = vX_[1217] * 0.1466472 + vX_[1226] * 0.009466 + (0 - vX_[1166]) * -5.1e-05 + vX_[1218] * -0.022734;
+ vX_[1384] = (0 - vX_[1198]) * 0.5824264;
+ vX_[1385] = (0 - vX_[1155]) * 0.1466472;
+ vX_[1386] = (0 - vX_[1226]) * -3.6e-05;
+ vX_[1387] = (0 - vX_[1218]) * -5.1e-05;
+ vX_[1388] = vX_[1384] + vX_[1385] + vX_[1386] - vX_[1387];
+ vX_[1389] = vX_[1198] * vX_[468] + vX_[1217] * vX_[515] + vX_[1155] * vX_[570] + vX_[1166] * vX_[569] + vX_[1218] * vX_[431];
+ vX_[1388] = vX_[1350] * vX_[662] + vX_[1352] * vX_[401] + vX_[1383] * -1 + vX_[1261] * vX_[702] + vX_[1357] * vX_[690] + vX_[1080] * vX_[697] + vX_[1347] * vX_[664] + vX_[1388] * vX_[704] + vX_[1388] * vX_[704] + vX_[1389] * x_in[24];
+ vX_[1126] = vX_[1212] * 0.1104774 + vX_[1244] * 0.0004405 + vX_[1126] * 0.025941;
+ vX_[1357] = (0 - vX_[1342]) * -8.81e-05;
+ vX_[1377] = vX_[1357] + vX_[1377];
+ vX_[783] = vX_[1342] * 0.0004405 + vX_[1212] * 8.81e-05 + vX_[783] * 0.000468;
+ vX_[1377] = vX_[1247] * vX_[731] + vX_[1213] * vX_[234] + vX_[1374] * vX_[706] + vX_[1126] * vX_[635] + vX_[1377] * vX_[352] + vX_[1377] * vX_[352] + vX_[783] * x_in[26];
+ vX_[1357] = vX_[1357] + vX_[1376];
+ vX_[1342] = vX_[1342] * -0.1104774 + vX_[1244] * -8.81e-05 + vX_[787] * 0.026409;
+ jac[956] = vX_[1110] * vX_[737] + vX_[1344] * vX_[606] + vX_[1342] * vX_[709] + vX_[783] * vX_[352] + vX_[1378];
+ vX_[1342] = vX_[1245] * vX_[731] + vX_[1343] * vX_[606] + vX_[1375] * vX_[706] + vX_[1126] * vX_[352] + vX_[1357] * vX_[635] + vX_[1357] * vX_[635] - vX_[1342] * x_in[26];
+ vX_[1357] = vX_[1060] * 0.47422804 + vX_[1156] * -0.0825825 + vX_[1167] * 0.081641 + (0 - vX_[784]) * 2.1e-05 + vX_[1128] * 0.000102;
+ vX_[1126] = (0 - vX_[1167]) * 0.007418;
+ vX_[1382] = vX_[1380] + vX_[1126] - vX_[1382];
+ vX_[1380] = vX_[1341] * vX_[377] + vX_[1060] * vX_[392] + vX_[1156] * vX_[382] + vX_[784] * vX_[426] + vX_[1128] * vX_[422];
+ vX_[1382] = vX_[1243] * -0.35 + vX_[1377] * vX_[357] + vX_[1342] * vX_[359] + vX_[789] * vX_[730] + vX_[1112] * vX_[649] + vX_[788] * vX_[628] + vX_[1357] * vX_[626] + vX_[1382] * vX_[651] + vX_[1382] * vX_[651] + vX_[1380] * x_in[25];
+ vX_[1126] = vX_[1379] - vX_[1126] - vX_[1381];
+ vX_[1381] = vX_[1341] * vX_[389] + vX_[1060] * vX_[393] + vX_[1156] * vX_[387] + vX_[784] * vX_[420] + vX_[1128] * vX_[426];
+ jac[920] = vX_[1351] * vX_[739] + vX_[1349] * vX_[653] + vX_[1381] * vX_[715] + vX_[1380] * vX_[651] + vX_[1383];
+ vX_[1381] = vX_[1377] * vX_[360] + vX_[1342] * vX_[357] + vX_[1259] * vX_[730] + vX_[1348] * vX_[653] + vX_[1318] * vX_[628] + vX_[1357] * vX_[651] + vX_[1126] * vX_[626] + vX_[1126] * vX_[626] - vX_[1381] * x_in[25];
+ vX_[1355] = vX_[1353] - vX_[1354] + vX_[1355];
+ vX_[1354] = vX_[1198] * 0.1466472 + vX_[1155] * 0.5824264 + vX_[1226] * -5.1e-05 + (0 - vX_[1166]) * -0.123672 + (0 - vX_[1218]) * -3.6e-05;
+ vX_[1353] = vX_[1166] * -0.022734;
+ vX_[1386] = vX_[1384] - vX_[1386] - vX_[1353];
+ vX_[1384] = vX_[1198] * vX_[405] + vX_[1217] * vX_[567] + vX_[1155] * vX_[516] + vX_[1166] * vX_[514] + vX_[1218] * vX_[569];
+ vX_[1386] = vX_[1382] * vX_[395] + vX_[1381] * vX_[383] + vX_[1355] * vX_[702] + vX_[1263] * vX_[725] + vX_[1354] * vX_[697] + vX_[1347] * vX_[704] + vX_[1386] * vX_[664] + vX_[1386] * vX_[664] - vX_[1384] * x_in[24];
+ vX_[1347] = 0 - vX_[1293];
+ vX_[1263] = 0 - vX_[1283];
+ vX_[1278] = 0 - vX_[1278] + vX_[1335];
+ vX_[1335] = 0 - vX_[1331];
+ vX_[1367] = 0 - vX_[1367];
+ jac[236] = 0 - (0 - (vX_[1233] * vX_[718] + vX_[1265] * x_in[22]) + (vX_[1184] * vX_[718] + vX_[1320] * vX_[449] + vX_[1265] * x_in[20]) * -0.3735 - (vX_[1229] * vX_[949] + vX_[1359] * x_in[23]) + (vX_[1193] * vX_[949] + vX_[1359] * x_in[19]) * 0.3735 + (vX_[1061] * vX_[949] + (vX_[1285] * vX_[518] + vX_[1331] * vX_[573] + vX_[1360] * vX_[462] + vX_[1322] * vX_[464] + vX_[1293] * vX_[434] + vX_[1283] * vX_[443] + vX_[1362] * vX_[446] + vX_[1363] * vX_[463] + vX_[1337] * vX_[452] + vX_[1306] * vX_[516] + vX_[1331] * vX_[570] + vX_[1295] * vX_[405] + vX_[1284] * vX_[523]) * -1 + vX_[1359] * x_in[18]) * -0.207 - (vX_[1184] * vX_[688] + vX_[1193] * vX_[747] + vX_[1038] * vX_[681] + vX_[1364] * vX_[679] + vX_[1365] * vX_[677] + vX_[1366] * vX_[654] + vX_[1368] * vX_[452] + vX_[1369] * vX_[658] + vX_[1370] * vX_[657] + vX_[1373] * vX_[434] + vX_[1324] * vX_[643] + vX_[1327] * vX_[623] + vX_[1189] * vX_[470] + vX_[1275] * vX_[460] + vX_[1325] * vX_[642] + vX_[1328] * vX_[620] + vX_[1302] * vX_[619] + vX_[1326] * vX_[621] + vX_[1291] * vX_[572] + vX_[1329] * vX_[622] + vX_[1305] * vX_[459] + vX_[1304] * vX_[469] + vX_[1288] * vX_[579] + vX_[1287] * vX_[577] + vX_[1195] * vX_[575] + vX_[1315] * vX_[596] + vX_[1272] * vX_[597] + vX_[1298] * vX_[524] + vX_[1196] * vX_[520] + vX_[1197] * vX_[574] + vX_[1320] * vX_[450] + vX_[1388] * x_in[19] + vX_[1386] * x_in[20])) * vX_[1083] + (vX_[1229] * vX_[718] + vX_[1184] * vX_[747] + vX_[1038] * vX_[677] + vX_[1366] * vX_[452] + vX_[1371] * vX_[657] + vX_[1369] * vX_[434] + vX_[1327] * vX_[620] + vX_[1189] * vX_[460] + vX_[1325] * vX_[643] + vX_[1302] * vX_[572] + vX_[1326] * vX_[622] + vX_[1305] * vX_[469] + vX_[1288] * vX_[575] + vX_[1315] * vX_[597] + vX_[1297] * vX_[520] + vX_[1298] * vX_[574] + (vX_[1296] * vX_[571] + vX_[1332] * vX_[414] + vX_[1317] * vX_[464] + vX_[1361] * vX_[438] + vX_[1319] * vX_[453] + vX_[1347] * vX_[437] + vX_[1191] * vX_[446] + vX_[1263] * vX_[434] + vX_[1174] * vX_[452] + vX_[1278] * vX_[463] + vX_[1296] * vX_[567] + vX_[1335] * vX_[515] + vX_[1317] * vX_[468] + vX_[1319] * vX_[512]) * 0.207 + vX_[1265] * x_in[23] + vX_[1388] * x_in[20] + (vX_[1193] * vX_[718] + vX_[1320] * vX_[447] + vX_[1265] * x_in[19]) * -0.3735 + (vX_[1061] * vX_[718] + vX_[1265] * x_in[18]) * 0.207 - (vX_[1233] * vX_[949] + vX_[1359] * x_in[22]) + (vX_[1184] * vX_[949] + vX_[1359] * x_in[20]) * -0.3735 - (vX_[1193] * vX_[688] + vX_[1364] * vX_[678] + vX_[1365] * vX_[681] + vX_[1367] * vX_[654] + vX_[1370] * vX_[434] + vX_[1372] * vX_[658] + vX_[1324] * vX_[642] + vX_[1275] * vX_[470] + vX_[1328] * vX_[623] + vX_[1291] * vX_[619] + vX_[1329] * vX_[621] + vX_[1304] * vX_[459] + vX_[1287] * vX_[576] + vX_[1195] * vX_[579] + vX_[1307] * vX_[596] + vX_[1196] * vX_[574] + vX_[1286] * vX_[524] + vX_[1320] * vX_[448] + vX_[1386] * x_in[19])) * vX_[1093];
+ vX_[1365] = 0 - vX_[684];
+ vX_[1364] = (vX_[700] + vX_[1365] * vX_[674]) * 1 / vX_[682];
+ vX_[1038] = 0 - vX_[1364];
+ vX_[1361] = (vX_[684] + vX_[1038] * vX_[705]) * 1 / vX_[680];
+ vX_[1360] = 0 - vX_[1364];
+ vX_[1320] = 0 - vX_[1361];
+ vX_[1332] = (-1 + vX_[1360] * vX_[699] + vX_[1320] * vX_[655]) * 1 / vX_[683];
+ vX_[1272] = 0 - vX_[1364];
+ vX_[1291] = 0 - vX_[1361];
+ vX_[1302] = 0 - vX_[1332];
+ vX_[1285] = (vX_[1272] * vX_[595] + vX_[1291] * vX_[644] + vX_[1302] * vX_[550]) * 1 / vX_[580];
+ vX_[1307] = vX_[1332] * -1 + vX_[1285] * 0.207;
+ vX_[1315] = 0 - vX_[1364];
+ vX_[1329] = 0 - vX_[1361];
+ vX_[1328] = 0 - vX_[1332];
+ vX_[1327] = 0 - vX_[1285];
+ vX_[1326] = (vX_[1315] * vX_[691] + vX_[1329] * vX_[624] + vX_[1328] * vX_[471] + vX_[1327] * vX_[629]) * 1 / vX_[578];
+ vX_[1325] = 0 - vX_[1364];
+ vX_[1324] = 0 - vX_[1361];
+ vX_[1322] = 0 - vX_[1332];
+ vX_[1304] = 0 - vX_[1285];
+ vX_[1189] = 0 - vX_[1326];
+ vX_[1305] = (vX_[1325] * vX_[536] + vX_[1324] * vX_[472] + vX_[1322] * vX_[656] + vX_[1304] * vX_[590] + vX_[1189] * vX_[598]) * 1 / vX_[581];
+ vX_[1275] = vX_[1364] * vX_[583] + vX_[1361] * vX_[587] + vX_[1285] * vX_[696] + vX_[1326] * vX_[591] + vX_[1305] * vX_[354];
+ vX_[1197] = vX_[1285] * vX_[435] + vX_[1326] * vX_[449];
+ vX_[1286] = vX_[1307] * vX_[383] + vX_[1275] * vX_[668] + vX_[1197] * vX_[662];
+ vX_[1297] = vX_[1307] * vX_[356] + vX_[1275] * vX_[383] + vX_[1197] * vX_[401];
+ vX_[1196] = vX_[1197] * -1;
+ vX_[1287] = vX_[1286] * 1 / vX_[380];
+ vX_[1298] = vX_[1297] * 1 / vX_[380];
+ vX_[1195] = vX_[1196] * 1 / vX_[380];
+ vX_[1288] = vX_[1305] * -1;
+ vX_[1126] = vX_[1307] * 1 / vX_[432];
+ vX_[1357] = vX_[1364] * vX_[435] + vX_[1361] * vX_[353] + vX_[1285] * vX_[450] + vX_[1326] * vX_[448] + vX_[1305] * vX_[724];
+ vX_[1318] = vX_[1357] * 1 / vX_[432];
+ vX_[1348] = vX_[1275] * 1 / vX_[432];
+ vX_[1259] = vX_[1288] * 1 / vX_[432];
+ vX_[1380] = vX_[1197] * 1 / vX_[432];
+ vX_[1383] = vX_[1285] * vX_[449] + vX_[1326] * vX_[447];
+ vX_[1351] = vX_[1383] * 1 / vX_[432];
+ vX_[1288] = vX_[1288] - (vX_[1126] * vX_[444] + vX_[1318] * vX_[406] + vX_[1348] * vX_[396] + vX_[1259] * vX_[432] + vX_[1380] * vX_[458] + vX_[1351] * vX_[467]);
+ vX_[1349] = vX_[1288] * vX_[383] + vX_[1383] * vX_[395];
+ vX_[1379] = vX_[1349] * 1 / vX_[380];
+ vX_[788] = vX_[1288] * vX_[356] + vX_[1383] * vX_[383];
+ vX_[1112] = vX_[788] * 1 / vX_[380];
+ vX_[1196] = vX_[1196] - (vX_[1287] * vX_[390] + vX_[1298] * vX_[378] + vX_[1195] * vX_[380] + vX_[1379] * vX_[386] + vX_[1112] * vX_[368]);
+ vX_[789] = vX_[1286] * vX_[359] + vX_[1297] * vX_[357] + vX_[1196] * vX_[362];
+ vX_[1243] = vX_[1286] * vX_[357] + vX_[1297] * vX_[618] + vX_[1196] * vX_[612];
+ vX_[1375] = vX_[1196] - (vX_[1243] * 38.1956380581338 * 0.1104774 + vX_[789] * 38.1956380581338 * -0.0004405 + vX_[1196] * 38.1956380581338 * 0.026181);
+ vX_[1343] = vX_[1349] * vX_[357] + vX_[788] * vX_[360];
+ vX_[1245] = vX_[789] * 0.881 + (0 - vX_[1375]) * 0.0004405 + vX_[1343] * -8.81e-05;
+ vX_[783] = vX_[1243] * -0.881;
+ vX_[1378] = vX_[1375] * 0.1104774;
+ vX_[1110] = vX_[1349] * vX_[359] + vX_[788] * vX_[357];
+ vX_[1344] = vX_[1110] * -8.81e-05;
+ vX_[787] = vX_[783] - vX_[1378] + vX_[1344];
+ vX_[1244] = vX_[1245] * vX_[352] + vX_[787] * vX_[635];
+ vX_[1376] = vX_[1297] * 3.146 + (0 - vX_[1196]) * -0.0825825;
+ vX_[1374] = vX_[1286] * -3.146;
+ vX_[1213] = vX_[1196] * 0.47422804;
+ vX_[1247] = vX_[1374] - vX_[1213];
+ vX_[1212] = vX_[1244] + vX_[1376] * vX_[651] + vX_[1247] * vX_[626];
+ vX_[1390] = vX_[1275] * 3.44 + vX_[1197] * 0.5824264;
+ vX_[1391] = 0 - vX_[1390];
+ vX_[1392] = vX_[1307] * 3.44 + (0 - vX_[1197]) * 0.1466472;
+ vX_[1393] = vX_[1307] * vX_[452] + vX_[1357] * vX_[434] + vX_[1275] * vX_[443] + vX_[1197] * vX_[516] + vX_[1383] * vX_[570];
+ vX_[1394] = vX_[1212] * -1 + vX_[1391] * vX_[697] + vX_[1392] * vX_[664] + vX_[1393] * x_in[24];
+ vX_[1395] = 0 - vX_[1364] * vX_[1014];
+ vX_[1396] = 0 - vX_[1395];
+ vX_[1397] = 0 - vX_[1395];
+ vX_[1365] = (vX_[1365] * vX_[1014] + vX_[1397] * vX_[705]) * 1 / vX_[680];
+ vX_[1398] = 0 - vX_[1365];
+ vX_[1399] = 0 - vX_[1395];
+ vX_[1400] = 0 - vX_[1365];
+ vX_[1401] = (vX_[1014] + vX_[1399] * vX_[699] + vX_[1400] * vX_[655]) * 1 / vX_[683];
+ vX_[1402] = 0 - vX_[1401];
+ vX_[1403] = (vX_[1396] * vX_[595] + vX_[1398] * vX_[644] + vX_[1402] * vX_[550]) * 1 / vX_[580];
+ vX_[1397] = vX_[1038] * vX_[703] + vX_[1397] * vX_[674];
+ vX_[1038] = 0 - vX_[1397];
+ vX_[1404] = 0 - vX_[1361] * vX_[703] - vX_[1365] * vX_[674];
+ vX_[1405] = 0 - vX_[1404];
+ vX_[1406] = 0 - vX_[1397];
+ vX_[1407] = 0 - vX_[1404];
+ vX_[1408] = (vX_[728] + vX_[1406] * vX_[699] + vX_[1407] * vX_[655]) * 1 / vX_[683];
+ vX_[1409] = 0 - vX_[1408];
+ vX_[1410] = (vX_[1038] * vX_[595] + vX_[1405] * vX_[644] + vX_[1409] * vX_[550]) * 1 / vX_[580];
+ vX_[1406] = vX_[1360] * vX_[1016] + vX_[1399] * vX_[700] + vX_[1406] * vX_[684];
+ vX_[1399] = 0 - vX_[1406];
+ vX_[1407] = vX_[1320] * vX_[1016] + vX_[1400] * vX_[700] + vX_[1407] * vX_[684];
+ vX_[1400] = 0 - vX_[1407];
+ vX_[1320] = 0 - vX_[1332] * vX_[1016] - vX_[1401] * vX_[700] - vX_[1408] * vX_[684];
+ vX_[1360] = 0 - vX_[1320];
+ vX_[1411] = (vX_[1399] * vX_[595] + vX_[1400] * vX_[644] + vX_[1360] * vX_[550]) * 1 / vX_[580];
+ vX_[1412] = 0 - vX_[1285] * vX_[861] - vX_[1403] * vX_[694] - vX_[1410] * vX_[566] - vX_[1411] * vX_[645];
+ vX_[1413] = 0 - vX_[1395];
+ vX_[1414] = 0 - vX_[1365];
+ vX_[1415] = 0 - vX_[1401];
+ vX_[1416] = 0 - vX_[1403];
+ vX_[1417] = 0 - vX_[1395];
+ vX_[1418] = 0 - vX_[1365];
+ vX_[1419] = 0 - vX_[1401];
+ vX_[1420] = 0 - vX_[1403];
+ vX_[1421] = (vX_[1417] * vX_[691] + vX_[1418] * vX_[624] + vX_[1419] * vX_[471] + vX_[1420] * vX_[629]) * 1 / vX_[578];
+ vX_[1422] = 0 - vX_[1421];
+ vX_[1423] = (vX_[1413] * vX_[536] + vX_[1414] * vX_[472] + vX_[1415] * vX_[656] + vX_[1416] * vX_[590] + vX_[1422] * vX_[598]) * 1 / vX_[581];
+ vX_[1424] = 0 - vX_[1397];
+ vX_[1425] = 0 - vX_[1404];
+ vX_[1426] = 0 - vX_[1408];
+ vX_[1427] = 0 - vX_[1410];
+ vX_[1428] = 0 - vX_[1397];
+ vX_[1429] = 0 - vX_[1404];
+ vX_[1430] = 0 - vX_[1408];
+ vX_[1431] = 0 - vX_[1410];
+ vX_[1432] = (vX_[1428] * vX_[691] + vX_[1429] * vX_[624] + vX_[1430] * vX_[471] + vX_[1431] * vX_[629]) * 1 / vX_[578];
+ vX_[1433] = 0 - vX_[1432];
+ vX_[1434] = (vX_[1424] * vX_[536] + vX_[1425] * vX_[472] + vX_[1426] * vX_[656] + vX_[1427] * vX_[590] + vX_[1433] * vX_[598]) * 1 / vX_[581];
+ vX_[1435] = 0 - vX_[1406];
+ vX_[1436] = 0 - vX_[1407];
+ vX_[1437] = 0 - vX_[1320];
+ vX_[1438] = 0 - vX_[1411];
+ vX_[1439] = 0 - vX_[1406];
+ vX_[1440] = 0 - vX_[1407];
+ vX_[1441] = 0 - vX_[1320];
+ vX_[1442] = 0 - vX_[1411];
+ vX_[1443] = (vX_[1439] * vX_[691] + vX_[1440] * vX_[624] + vX_[1441] * vX_[471] + vX_[1442] * vX_[629]) * 1 / vX_[578];
+ vX_[1444] = 0 - vX_[1443];
+ vX_[1445] = (vX_[1435] * vX_[536] + vX_[1436] * vX_[472] + vX_[1437] * vX_[656] + vX_[1438] * vX_[590] + vX_[1444] * vX_[598]) * 1 / vX_[581];
+ vX_[1399] = vX_[1272] * vX_[861] + vX_[1396] * vX_[694] + vX_[1038] * vX_[566] + vX_[1399] * vX_[645];
+ vX_[1038] = 0 - vX_[1399];
+ vX_[1400] = vX_[1291] * vX_[861] + vX_[1398] * vX_[694] + vX_[1405] * vX_[566] + vX_[1400] * vX_[645];
+ vX_[1405] = 0 - vX_[1400];
+ vX_[1360] = vX_[1302] * vX_[861] + vX_[1402] * vX_[694] + vX_[1409] * vX_[566] + vX_[1360] * vX_[645];
+ vX_[1409] = 0 - vX_[1360];
+ vX_[1402] = 0 - vX_[1412];
+ vX_[1302] = 0 - vX_[1399];
+ vX_[1398] = 0 - vX_[1400];
+ vX_[1291] = 0 - vX_[1360];
+ vX_[1396] = 0 - vX_[1412];
+ vX_[1272] = (vX_[1302] * vX_[691] + vX_[1398] * vX_[624] + vX_[1291] * vX_[471] + vX_[1396] * vX_[629]) * 1 / vX_[578];
+ vX_[1446] = 0 - vX_[1272];
+ vX_[1447] = (vX_[1038] * vX_[536] + vX_[1405] * vX_[472] + vX_[1409] * vX_[656] + vX_[1402] * vX_[590] + vX_[1446] * vX_[598]) * 1 / vX_[581];
+ vX_[1302] = vX_[1315] * vX_[922] + vX_[1417] * vX_[692] + vX_[1428] * vX_[564] + vX_[1439] * vX_[519] + vX_[1302] * vX_[630];
+ vX_[1439] = 0 - vX_[1302];
+ vX_[1398] = vX_[1329] * vX_[922] + vX_[1418] * vX_[692] + vX_[1429] * vX_[564] + vX_[1440] * vX_[519] + vX_[1398] * vX_[630];
+ vX_[1440] = 0 - vX_[1398];
+ vX_[1291] = vX_[1328] * vX_[922] + vX_[1419] * vX_[692] + vX_[1430] * vX_[564] + vX_[1441] * vX_[519] + vX_[1291] * vX_[630];
+ vX_[1441] = 0 - vX_[1291];
+ vX_[1396] = vX_[1327] * vX_[922] + vX_[1420] * vX_[692] + vX_[1431] * vX_[564] + vX_[1442] * vX_[519] + vX_[1396] * vX_[630];
+ vX_[1442] = 0 - vX_[1396];
+ vX_[1431] = 0 - vX_[1326] * vX_[922] - vX_[1421] * vX_[692] - vX_[1432] * vX_[564] - vX_[1443] * vX_[519] - vX_[1272] * vX_[630];
+ vX_[1420] = 0 - vX_[1431];
+ vX_[1327] = (vX_[1439] * vX_[536] + vX_[1440] * vX_[472] + vX_[1441] * vX_[656] + vX_[1442] * vX_[590] + vX_[1420] * vX_[598]) * 1 / vX_[581];
+ vX_[1430] = 0 - vX_[1305] * vX_[995] - vX_[1423] * vX_[686] - vX_[1434] * vX_[582] - vX_[1445] * vX_[552] - vX_[1447] * vX_[586] - vX_[1327] * vX_[599];
+ vX_[1419] = vX_[1412] - vX_[1430];
+ vX_[1328] = vX_[1272] + vX_[1396];
+ vX_[1429] = vX_[1419] * vX_[449] + vX_[1328] * vX_[447];
+ vX_[1418] = vX_[1431] - vX_[1430];
+ vX_[1329] = vX_[1418] * vX_[449];
+ vX_[1428] = vX_[1419] * vX_[435] + vX_[1328] * vX_[449];
+ vX_[1417] = vX_[1418] * vX_[447];
+ vX_[1315] = vX_[1428] + vX_[1417];
+ vX_[1448] = vX_[1429] * vX_[435] + vX_[1329] * vX_[447] + vX_[1315] * vX_[449];
+ vX_[1449] = 0 - vX_[1448];
+ vX_[1450] = vX_[1430] + vX_[1428] * vX_[435] + vX_[1329] * vX_[449];
+ vX_[1451] = 0 - vX_[1450];
+ vX_[1452] = vX_[1430] + vX_[1429] * vX_[449] + vX_[1417] * vX_[447];
+ vX_[1440] = vX_[1324] * vX_[995] + vX_[1414] * vX_[686] + vX_[1425] * vX_[582] + vX_[1436] * vX_[552] + vX_[1405] * vX_[586] + vX_[1440] * vX_[599];
+ vX_[1405] = vX_[1434] + vX_[1440];
+ vX_[1436] = vX_[1443] + vX_[1291] - vX_[1405];
+ vX_[1439] = vX_[1325] * vX_[995] + vX_[1413] * vX_[686] + vX_[1424] * vX_[582] + vX_[1435] * vX_[552] + vX_[1038] * vX_[586] + vX_[1439] * vX_[599];
+ vX_[1038] = vX_[1423] + vX_[1439];
+ vX_[1435] = 0 - (vX_[1411] + vX_[1360]) + vX_[1038];
+ vX_[1424] = (vX_[1038] * vX_[435] + vX_[1405] * vX_[449]) * -1;
+ vX_[1413] = 0 - (vX_[1436] * vX_[449] + vX_[1435] * vX_[447]) + vX_[1424];
+ vX_[1325] = vX_[1413] + vX_[1450] * vX_[436];
+ vX_[1425] = 0 - vX_[1325];
+ vX_[1414] = (vX_[1038] * vX_[449] + vX_[1405] * vX_[447]) * -1;
+ vX_[1324] = vX_[1436] * vX_[435] + vX_[1435] * vX_[449] + vX_[1414];
+ vX_[1453] = 0 - vX_[1452];
+ vX_[1454] = vX_[1324] + vX_[1448] * vX_[436] + vX_[1453] * vX_[355];
+ vX_[1455] = vX_[1410] + vX_[1400];
+ vX_[1456] = vX_[1403] + vX_[1399];
+ vX_[1457] = vX_[1455] * vX_[447] + vX_[1456] * vX_[449];
+ vX_[1458] = vX_[1421] + vX_[1302];
+ vX_[1459] = vX_[1432] + vX_[1398];
+ vX_[1460] = vX_[1458] * vX_[449] + vX_[1459] * vX_[447];
+ vX_[1461] = vX_[1457] * vX_[435] + vX_[1460] * vX_[449];
+ vX_[1420] = vX_[1189] * vX_[995] + vX_[1422] * vX_[686] + vX_[1433] * vX_[582] + vX_[1444] * vX_[552] + vX_[1446] * vX_[586] + vX_[1420] * vX_[599];
+ vX_[1446] = vX_[1327] + vX_[1420];
+ vX_[1442] = vX_[1304] * vX_[995] + vX_[1416] * vX_[686] + vX_[1427] * vX_[582] + vX_[1438] * vX_[552] + vX_[1402] * vX_[586] + vX_[1442] * vX_[599];
+ vX_[1402] = vX_[1447] + vX_[1442];
+ vX_[1438] = 0 - vX_[1402];
+ vX_[1427] = vX_[1446] * vX_[449] + vX_[1438] * vX_[447];
+ vX_[1416] = 0 - vX_[1427];
+ vX_[1304] = vX_[1461] + vX_[1416] * vX_[355] + vX_[1451] * vX_[451];
+ vX_[1444] = 0 - vX_[1304];
+ vX_[1433] = vX_[1455] * vX_[449] + vX_[1456] * vX_[435];
+ vX_[1422] = vX_[1458] * vX_[435] + vX_[1459] * vX_[449];
+ vX_[1189] = vX_[1433] * vX_[449] + vX_[1422] * vX_[447];
+ vX_[1402] = 0 - vX_[1402];
+ vX_[1462] = vX_[1446] * vX_[435] + vX_[1402] * vX_[449];
+ vX_[1463] = 0 - vX_[1462];
+ vX_[1464] = vX_[1189] + vX_[1463] * vX_[436] + vX_[1452] * vX_[451];
+ vX_[1465] = vX_[1433] * vX_[435] + vX_[1422] * vX_[449];
+ vX_[1466] = vX_[1465] + vX_[1427] * vX_[436];
+ vX_[1467] = vX_[1457] * vX_[449] + vX_[1460] * vX_[447];
+ vX_[1468] = vX_[1467] + vX_[1462] * vX_[355] + vX_[1449] * vX_[451];
+ vX_[1469] = 0 - vX_[1466] + vX_[1468];
+ vX_[1470] = 0 - vX_[1448];
+ vX_[1471] = 0 - vX_[1450];
+ vX_[1451] = vX_[1449] * vX_[573] + vX_[1451] * vX_[518] + vX_[1452] * vX_[414] + vX_[1425] * vX_[452] + vX_[1454] * vX_[463] + vX_[1444] * vX_[443] + vX_[1464] * vX_[437] + vX_[1469] * vX_[434] + vX_[1448] * vX_[567] + vX_[1470] * vX_[570] + vX_[1471] * vX_[517] + vX_[1452] * vX_[521];
+ vX_[1449] = 0 - vX_[1245];
+ vX_[1472] = vX_[1357] * -1 + vX_[1288] * -0.08;
+ vX_[1473] = vX_[1472] + vX_[1349] * -0.35;
+ vX_[1474] = vX_[1473] * 0.881 + (0 - vX_[1343]) * 0.1104774 + vX_[1110] * 0.0004405;
+ vX_[1475] = vX_[1243] * 0.00185880198235362 + vX_[789] * 0.880992588508842 + vX_[1343] * -8.81e-05;
+ vX_[1476] = vX_[1449] * vX_[706] + vX_[1474] * vX_[635] + vX_[1475] * x_in[26];
+ vX_[1344] = 0 - vX_[783] + vX_[1378] - vX_[1344];
+ vX_[1378] = 0 - vX_[1474];
+ vX_[783] = vX_[1243] * 0.414812462825713 + vX_[789] * 0.00185880198235362 + vX_[1110] * 8.81e-05;
+ vX_[1477] = vX_[1344] * vX_[706] + vX_[1378] * vX_[352] - vX_[783] * x_in[26];
+ vX_[1478] = 0 - vX_[1376];
+ vX_[1479] = vX_[1472] * 3.146 + (0 - vX_[1349]) * 0.47422804 + vX_[788] * -0.0825825;
+ vX_[1480] = vX_[1286] * vX_[411] + vX_[1297] * vX_[410] + vX_[1349] * vX_[387] + vX_[788] * vX_[382];
+ vX_[1481] = vX_[1476] * vX_[357] + vX_[1477] * vX_[359] + vX_[1478] * vX_[628] + vX_[1479] * vX_[626] + vX_[1480] * x_in[25];
+ vX_[1213] = 0 - vX_[1374] + vX_[1213];
+ vX_[1374] = 0 - vX_[1479];
+ vX_[1482] = vX_[1286] * vX_[409] + vX_[1297] * vX_[411] + vX_[1349] * vX_[393] + vX_[788] * vX_[392];
+ vX_[1483] = vX_[1476] * vX_[618] + vX_[1477] * vX_[357] + vX_[1213] * vX_[628] + vX_[1374] * vX_[651] - vX_[1482] * x_in[25];
+ vX_[1484] = vX_[1357] * -3.44;
+ vX_[1485] = vX_[1288] * 0.1466472;
+ vX_[1486] = vX_[1383] * 0.5824264;
+ vX_[1487] = 0 - vX_[1484] + vX_[1485] - vX_[1486];
+ vX_[1488] = 0 - vX_[1392];
+ vX_[1489] = vX_[1307] * vX_[463] + vX_[1357] * vX_[437] + vX_[1275] * vX_[434] + vX_[1197] * vX_[567] + vX_[1383] * vX_[515];
+ vX_[1490] = vX_[1481] * vX_[668] + vX_[1483] * vX_[383] + vX_[1487] * vX_[697] + vX_[1488] * vX_[704] - vX_[1489] * x_in[24];
+ vX_[1491] = vX_[1412] + vX_[1431] + vX_[1430] - vX_[1450] - vX_[1452];
+ vX_[1492] = 0 - vX_[1491];
+ vX_[1424] = vX_[1424] + vX_[1492] * vX_[436];
+ vX_[1414] = vX_[1414] + vX_[1491] * vX_[355];
+ vX_[1493] = 0 - vX_[1454];
+ vX_[1494] = 0 - vX_[1464];
+ vX_[1441] = vX_[1322] * vX_[995] + vX_[1415] * vX_[686] + vX_[1426] * vX_[582] + vX_[1437] * vX_[552] + vX_[1409] * vX_[586] + vX_[1441] * vX_[599];
+ vX_[1409] = vX_[1445] + vX_[1441] + vX_[1456] + vX_[1459] - vX_[1465] - vX_[1467];
+ vX_[1468] = vX_[1409] - vX_[1468];
+ vX_[1437] = 0 - vX_[1427];
+ vX_[1426] = 0 - vX_[1448];
+ vX_[1415] = 0 - vX_[1452];
+ vX_[1322] = vX_[1395] - vX_[1320];
+ vX_[1495] = vX_[1404] - vX_[1320];
+ vX_[1496] = vX_[1365] + vX_[1397];
+ vX_[1497] = vX_[1408] + vX_[1407];
+ vX_[1498] = vX_[1401] + vX_[1406];
+ vX_[1499] = 0 - vX_[1498];
+ vX_[1500] = vX_[1322] * vX_[449] + vX_[1496] * vX_[447];
+ vX_[1501] = vX_[1495] * vX_[449];
+ vX_[1502] = vX_[1322] * vX_[435] + vX_[1496] * vX_[449];
+ vX_[1503] = vX_[1495] * vX_[447];
+ vX_[1504] = vX_[1502] + vX_[1503];
+ vX_[1505] = vX_[1473] * 0.0004405 + vX_[1243] * -8.81e-05 + vX_[1110] * -0.000227999999999999;
+ vX_[1506] = vX_[1473] * 0.1104774 + vX_[789] * -8.81e-05 + (0 - vX_[1343]) * 0.025713;
+ vX_[1507] = (0 - vX_[1243]) * 0.0004405;
+ vX_[1508] = (0 - vX_[789]) * 0.1104774;
+ vX_[1509] = vX_[1507] + vX_[1508];
+ vX_[1509] = vX_[1449] * vX_[606] + vX_[1344] * vX_[234] + vX_[1505] * vX_[352] + vX_[1506] * vX_[635] + vX_[1509] * vX_[706] + vX_[1509] * vX_[706];
+ vX_[1344] = vX_[1472] * -0.0825825 + (0 - vX_[1196]) * 0.000102 + vX_[1349] * 0.007418 + vX_[788] * 0.002735;
+ vX_[1449] = vX_[1472] * 0.47422804 + vX_[1196] * 2.1e-05 + (0 - vX_[1349]) * 0.084376 + (0 - vX_[788]) * 0.007418;
+ vX_[1510] = (0 - vX_[1286]) * -0.0825825;
+ vX_[1511] = (0 - vX_[1297]) * 0.47422804;
+ vX_[1512] = vX_[1349] * 0.000102;
+ vX_[1513] = (0 - vX_[788]) * 2.1e-05;
+ vX_[1514] = vX_[1510] + vX_[1511] + vX_[1512] + vX_[1513];
+ vX_[1514] = vX_[1509] + vX_[1476] * vX_[612] + vX_[1477] * vX_[362] + vX_[1478] * vX_[653] + vX_[1213] * vX_[649] + vX_[1344] * vX_[651] + vX_[1449] * vX_[626] + vX_[1514] * vX_[628] + vX_[1514] * vX_[628];
+ vX_[1213] = vX_[1357] * 0.5824264 + (0 - vX_[1288]) * -0.022734 + vX_[1197] * -3.6e-05 + vX_[1383] * -0.133138;
+ vX_[1478] = vX_[1357] * 0.1466472 + vX_[1288] * 0.009466 + (0 - vX_[1197]) * -5.1e-05 + vX_[1383] * -0.022734;
+ vX_[1515] = (0 - vX_[1307]) * 0.5824264;
+ vX_[1516] = (0 - vX_[1275]) * 0.1466472;
+ vX_[1517] = (0 - vX_[1288]) * -3.6e-05;
+ vX_[1518] = (0 - vX_[1383]) * -5.1e-05;
+ vX_[1519] = vX_[1515] + vX_[1516] + vX_[1517] - vX_[1518];
+ vX_[1520] = vX_[1307] * vX_[468] + vX_[1357] * vX_[515] + vX_[1275] * vX_[570] + vX_[1197] * vX_[569] + vX_[1383] * vX_[431];
+ vX_[1519] = vX_[1481] * vX_[662] + vX_[1483] * vX_[401] + vX_[1514] * -1 + vX_[1390] * vX_[702] + vX_[1488] * vX_[690] + vX_[1213] * vX_[697] + vX_[1478] * vX_[664] + vX_[1519] * vX_[704] + vX_[1519] * vX_[704] + vX_[1520] * x_in[24];
+ vX_[1375] = vX_[1243] * 0.1104774 + vX_[789] * 0.0004405 + vX_[1375] * 0.025941;
+ vX_[1488] = (0 - vX_[1473]) * -8.81e-05;
+ vX_[1508] = vX_[1488] + vX_[1508];
+ vX_[1110] = vX_[1473] * 0.0004405 + vX_[1243] * 8.81e-05 + vX_[1110] * 0.000468;
+ vX_[1508] = vX_[1245] * vX_[731] + vX_[1378] * vX_[234] + vX_[1505] * vX_[706] + vX_[1375] * vX_[635] + vX_[1508] * vX_[352] + vX_[1508] * vX_[352] + vX_[1110] * x_in[26];
+ vX_[1488] = vX_[1488] + vX_[1507];
+ vX_[1473] = vX_[1473] * -0.1104774 + vX_[789] * -8.81e-05 + vX_[1343] * 0.026409;
+ jac[957] = vX_[783] * vX_[737] + vX_[1475] * vX_[606] + vX_[1473] * vX_[709] + vX_[1110] * vX_[352] + vX_[1509];
+ vX_[1473] = vX_[787] * vX_[731] + vX_[1474] * vX_[606] + vX_[1506] * vX_[706] + vX_[1375] * vX_[352] + vX_[1488] * vX_[635] + vX_[1488] * vX_[635] - vX_[1473] * x_in[26];
+ vX_[1488] = vX_[1286] * 0.47422804 + vX_[1297] * -0.0825825 + vX_[1196] * 0.081641 + (0 - vX_[1349]) * 2.1e-05 + vX_[788] * 0.000102;
+ vX_[1375] = (0 - vX_[1196]) * 0.007418;
+ vX_[1513] = vX_[1511] + vX_[1375] - vX_[1513];
+ vX_[1511] = vX_[1472] * vX_[377] + vX_[1286] * vX_[392] + vX_[1297] * vX_[382] + vX_[1349] * vX_[426] + vX_[788] * vX_[422];
+ vX_[1513] = vX_[1244] * -0.35 + vX_[1508] * vX_[357] + vX_[1473] * vX_[359] + vX_[1376] * vX_[730] + vX_[1374] * vX_[649] + vX_[1344] * vX_[628] + vX_[1488] * vX_[626] + vX_[1513] * vX_[651] + vX_[1513] * vX_[651] + vX_[1511] * x_in[25];
+ vX_[1375] = vX_[1510] - vX_[1375] - vX_[1512];
+ vX_[1512] = vX_[1472] * vX_[389] + vX_[1286] * vX_[393] + vX_[1297] * vX_[387] + vX_[1349] * vX_[420] + vX_[788] * vX_[426];
+ jac[921] = vX_[1482] * vX_[739] + vX_[1480] * vX_[653] + vX_[1512] * vX_[715] + vX_[1511] * vX_[651] + vX_[1514];
+ vX_[1512] = vX_[1508] * vX_[360] + vX_[1473] * vX_[357] + vX_[1247] * vX_[730] + vX_[1479] * vX_[653] + vX_[1449] * vX_[628] + vX_[1488] * vX_[651] + vX_[1375] * vX_[626] + vX_[1375] * vX_[626] - vX_[1512] * x_in[25];
+ vX_[1486] = vX_[1484] - vX_[1485] + vX_[1486];
+ vX_[1485] = vX_[1307] * 0.1466472 + vX_[1275] * 0.5824264 + vX_[1288] * -5.1e-05 + (0 - vX_[1197]) * -0.123672 + (0 - vX_[1383]) * -3.6e-05;
+ vX_[1484] = vX_[1197] * -0.022734;
+ vX_[1517] = vX_[1515] - vX_[1517] - vX_[1484];
+ vX_[1515] = vX_[1307] * vX_[405] + vX_[1357] * vX_[567] + vX_[1275] * vX_[516] + vX_[1197] * vX_[514] + vX_[1383] * vX_[569];
+ vX_[1517] = vX_[1513] * vX_[395] + vX_[1512] * vX_[383] + vX_[1486] * vX_[702] + vX_[1392] * vX_[725] + vX_[1485] * vX_[697] + vX_[1478] * vX_[704] + vX_[1517] * vX_[664] + vX_[1517] * vX_[664] - vX_[1515] * x_in[24];
+ vX_[1478] = 0 - vX_[1424];
+ vX_[1392] = 0 - vX_[1414];
+ vX_[1409] = 0 - vX_[1409] + vX_[1466];
+ vX_[1466] = 0 - vX_[1462];
+ vX_[1498] = 0 - vX_[1498];
+ jac[237] = 0 - (0 - (vX_[1361] * vX_[718] + vX_[1394] * x_in[22]) + (vX_[1285] * vX_[718] + vX_[1451] * vX_[449] + vX_[1394] * x_in[20]) * -0.3735 - (vX_[1364] * vX_[949] + vX_[1490] * x_in[23]) + (vX_[1326] * vX_[949] + vX_[1490] * x_in[19]) * 0.3735 + (vX_[1305] * vX_[949] + (vX_[1416] * vX_[518] + vX_[1462] * vX_[573] + vX_[1491] * vX_[462] + vX_[1453] * vX_[464] + vX_[1424] * vX_[434] + vX_[1414] * vX_[443] + vX_[1493] * vX_[446] + vX_[1494] * vX_[463] + vX_[1468] * vX_[452] + vX_[1437] * vX_[516] + vX_[1462] * vX_[570] + vX_[1426] * vX_[405] + vX_[1415] * vX_[523]) * -1 + vX_[1490] * x_in[18]) * -0.207 - (vX_[1285] * vX_[688] + vX_[1326] * vX_[747] + vX_[1322] * vX_[681] + vX_[1495] * vX_[679] + vX_[1496] * vX_[677] + vX_[1497] * vX_[654] + vX_[1499] * vX_[452] + vX_[1500] * vX_[658] + vX_[1501] * vX_[657] + vX_[1504] * vX_[434] + vX_[1455] * vX_[643] + vX_[1458] * vX_[623] + vX_[1038] * vX_[470] + vX_[1405] * vX_[460] + vX_[1456] * vX_[642] + vX_[1459] * vX_[620] + vX_[1433] * vX_[619] + vX_[1457] * vX_[621] + vX_[1422] * vX_[572] + vX_[1460] * vX_[622] + vX_[1436] * vX_[459] + vX_[1435] * vX_[469] + vX_[1419] * vX_[579] + vX_[1418] * vX_[577] + vX_[1328] * vX_[575] + vX_[1446] * vX_[596] + vX_[1402] * vX_[597] + vX_[1429] * vX_[524] + vX_[1329] * vX_[520] + vX_[1315] * vX_[574] + vX_[1451] * vX_[450] + vX_[1519] * x_in[19] + vX_[1517] * x_in[20])) * vX_[1083] + (vX_[1364] * vX_[718] + vX_[1285] * vX_[747] + vX_[1322] * vX_[677] + vX_[1497] * vX_[452] + vX_[1502] * vX_[657] + vX_[1500] * vX_[434] + vX_[1458] * vX_[620] + vX_[1038] * vX_[460] + vX_[1456] * vX_[643] + vX_[1433] * vX_[572] + vX_[1457] * vX_[622] + vX_[1436] * vX_[469] + vX_[1419] * vX_[575] + vX_[1446] * vX_[597] + vX_[1428] * vX_[520] + vX_[1429] * vX_[574] + (vX_[1427] * vX_[571] + vX_[1463] * vX_[414] + vX_[1448] * vX_[464] + vX_[1492] * vX_[438] + vX_[1450] * vX_[453] + vX_[1478] * vX_[437] + vX_[1325] * vX_[446] + vX_[1392] * vX_[434] + vX_[1304] * vX_[452] + vX_[1409] * vX_[463] + vX_[1427] * vX_[567] + vX_[1466] * vX_[515] + vX_[1448] * vX_[468] + vX_[1450] * vX_[512]) * 0.207 + vX_[1394] * x_in[23] + vX_[1519] * x_in[20] + (vX_[1326] * vX_[718] + vX_[1451] * vX_[447] + vX_[1394] * x_in[19]) * -0.3735 + (vX_[1305] * vX_[718] + vX_[1394] * x_in[18]) * 0.207 - (vX_[1361] * vX_[949] + vX_[1490] * x_in[22]) + (vX_[1285] * vX_[949] + vX_[1490] * x_in[20]) * -0.3735 - (vX_[1326] * vX_[688] + vX_[1495] * vX_[678] + vX_[1496] * vX_[681] + vX_[1498] * vX_[654] + vX_[1501] * vX_[434] + vX_[1503] * vX_[658] + vX_[1455] * vX_[642] + vX_[1405] * vX_[470] + vX_[1459] * vX_[623] + vX_[1422] * vX_[619] + vX_[1460] * vX_[621] + vX_[1435] * vX_[459] + vX_[1418] * vX_[576] + vX_[1328] * vX_[579] + vX_[1438] * vX_[596] + vX_[1329] * vX_[574] + vX_[1417] * vX_[524] + vX_[1451] * vX_[448] + vX_[1517] * x_in[19])) * vX_[1093];
+ vX_[1496] = vX_[674] * 1 / vX_[682];
+ vX_[1495] = 0 - vX_[1496];
+ vX_[1322] = (-1 + vX_[1495] * vX_[705]) * 1 / vX_[680];
+ vX_[1492] = 0 - vX_[1496];
+ vX_[1491] = 0 - vX_[1322];
+ vX_[1451] = (vX_[1492] * vX_[699] + vX_[1491] * vX_[655]) * 1 / vX_[683];
+ vX_[1463] = 0 - vX_[1496];
+ vX_[1402] = 0 - vX_[1322];
+ vX_[1422] = 0 - vX_[1451];
+ vX_[1433] = (vX_[1463] * vX_[595] + vX_[1402] * vX_[644] + vX_[1422] * vX_[550]) * 1 / vX_[580];
+ vX_[1416] = vX_[1451] * -1 + vX_[1433] * 0.207;
+ vX_[1438] = 0 - vX_[1496];
+ vX_[1446] = 0 - vX_[1322];
+ vX_[1460] = 0 - vX_[1451];
+ vX_[1459] = 0 - vX_[1433];
+ vX_[1458] = (vX_[1438] * vX_[691] + vX_[1446] * vX_[624] + vX_[1460] * vX_[471] + vX_[1459] * vX_[629]) * 1 / vX_[578];
+ vX_[1457] = 0 - vX_[1496];
+ vX_[1456] = 0 - vX_[1322];
+ vX_[1455] = 0 - vX_[1451];
+ vX_[1453] = 0 - vX_[1433];
+ vX_[1435] = 0 - vX_[1458];
+ vX_[1038] = (vX_[1457] * vX_[536] + vX_[1456] * vX_[472] + vX_[1455] * vX_[656] + vX_[1453] * vX_[590] + vX_[1435] * vX_[598]) * 1 / vX_[581];
+ vX_[1436] = vX_[1496] * vX_[583] + vX_[1322] * vX_[587] + vX_[1433] * vX_[696] + vX_[1458] * vX_[591] + vX_[1038] * vX_[354];
+ vX_[1405] = vX_[1433] * vX_[435] + vX_[1458] * vX_[449];
+ vX_[1315] = vX_[1416] * vX_[383] + vX_[1436] * vX_[668] + vX_[1405] * vX_[662];
+ vX_[1417] = vX_[1416] * vX_[356] + vX_[1436] * vX_[383] + vX_[1405] * vX_[401];
+ vX_[1428] = vX_[1405] * -1;
+ vX_[1329] = vX_[1315] * 1 / vX_[380];
+ vX_[1418] = vX_[1417] * 1 / vX_[380];
+ vX_[1429] = vX_[1428] * 1 / vX_[380];
+ vX_[1328] = vX_[1038] * -1;
+ vX_[1419] = vX_[1416] * 1 / vX_[432];
+ vX_[1375] = vX_[1496] * vX_[435] + vX_[1322] * vX_[353] + vX_[1433] * vX_[450] + vX_[1458] * vX_[448] + vX_[1038] * vX_[724];
+ vX_[1488] = vX_[1375] * 1 / vX_[432];
+ vX_[1449] = vX_[1436] * 1 / vX_[432];
+ vX_[1479] = vX_[1328] * 1 / vX_[432];
+ vX_[1247] = vX_[1405] * 1 / vX_[432];
+ vX_[1511] = vX_[1433] * vX_[449] + vX_[1458] * vX_[447];
+ vX_[1514] = vX_[1511] * 1 / vX_[432];
+ vX_[1328] = vX_[1328] - (vX_[1419] * vX_[444] + vX_[1488] * vX_[406] + vX_[1449] * vX_[396] + vX_[1479] * vX_[432] + vX_[1247] * vX_[458] + vX_[1514] * vX_[467]);
+ vX_[1482] = vX_[1328] * vX_[383] + vX_[1511] * vX_[395];
+ vX_[1480] = vX_[1482] * 1 / vX_[380];
+ vX_[1510] = vX_[1328] * vX_[356] + vX_[1511] * vX_[383];
+ vX_[1344] = vX_[1510] * 1 / vX_[380];
+ vX_[1428] = vX_[1428] - (vX_[1329] * vX_[390] + vX_[1418] * vX_[378] + vX_[1429] * vX_[380] + vX_[1480] * vX_[386] + vX_[1344] * vX_[368]);
+ vX_[1374] = vX_[1315] * vX_[359] + vX_[1417] * vX_[357] + vX_[1428] * vX_[362];
+ vX_[1376] = vX_[1315] * vX_[357] + vX_[1417] * vX_[618] + vX_[1428] * vX_[612];
+ vX_[1244] = vX_[1428] - (vX_[1376] * 38.1956380581338 * 0.1104774 + vX_[1374] * 38.1956380581338 * -0.0004405 + vX_[1428] * 38.1956380581338 * 0.026181);
+ vX_[1506] = vX_[1482] * vX_[357] + vX_[1510] * vX_[360];
+ vX_[1474] = vX_[1374] * 0.881 + (0 - vX_[1244]) * 0.0004405 + vX_[1506] * -8.81e-05;
+ vX_[787] = vX_[1376] * -0.881;
+ vX_[1110] = vX_[1244] * 0.1104774;
+ vX_[1509] = vX_[1482] * vX_[359] + vX_[1510] * vX_[357];
+ vX_[783] = vX_[1509] * -8.81e-05;
+ vX_[1475] = vX_[787] - vX_[1110] + vX_[783];
+ vX_[1343] = vX_[1474] * vX_[352] + vX_[1475] * vX_[635];
+ vX_[789] = vX_[1417] * 3.146 + (0 - vX_[1428]) * -0.0825825;
+ vX_[1507] = vX_[1315] * -3.146;
+ vX_[1505] = vX_[1428] * 0.47422804;
+ vX_[1378] = vX_[1507] - vX_[1505];
+ vX_[1245] = vX_[1343] + vX_[789] * vX_[651] + vX_[1378] * vX_[626];
+ vX_[1243] = vX_[1436] * 3.44 + vX_[1405] * 0.5824264;
+ vX_[1521] = 0 - vX_[1243];
+ vX_[1522] = vX_[1416] * 3.44 + (0 - vX_[1405]) * 0.1466472;
+ vX_[1523] = vX_[1416] * vX_[452] + vX_[1375] * vX_[434] + vX_[1436] * vX_[443] + vX_[1405] * vX_[516] + vX_[1511] * vX_[570];
+ vX_[1524] = vX_[1245] * -1 + vX_[1521] * vX_[697] + vX_[1522] * vX_[664] + vX_[1523] * x_in[24];
+ vX_[1525] = 0 - vX_[1496] * vX_[1014];
+ vX_[1526] = 0 - vX_[1525];
+ vX_[1527] = 0 - vX_[1525];
+ vX_[1528] = (vX_[1014] + vX_[1527] * vX_[705]) * 1 / vX_[680];
+ vX_[1529] = 0 - vX_[1528];
+ vX_[1530] = 0 - vX_[1525];
+ vX_[1531] = 0 - vX_[1528];
+ vX_[1532] = (vX_[1530] * vX_[699] + vX_[1531] * vX_[655]) * 1 / vX_[683];
+ vX_[1533] = 0 - vX_[1532];
+ vX_[1534] = (vX_[1526] * vX_[595] + vX_[1529] * vX_[644] + vX_[1533] * vX_[550]) * 1 / vX_[580];
+ vX_[1527] = vX_[1495] * vX_[703] + vX_[1527] * vX_[674];
+ vX_[1495] = 0 - vX_[1527];
+ vX_[1535] = 0 - vX_[1322] * vX_[703] - vX_[1528] * vX_[674];
+ vX_[1536] = 0 - vX_[1535];
+ vX_[1537] = 0 - vX_[1527];
+ vX_[1538] = 0 - vX_[1535];
+ vX_[1539] = (vX_[1537] * vX_[699] + vX_[1538] * vX_[655]) * 1 / vX_[683];
+ vX_[1540] = 0 - vX_[1539];
+ vX_[1541] = (vX_[1495] * vX_[595] + vX_[1536] * vX_[644] + vX_[1540] * vX_[550]) * 1 / vX_[580];
+ vX_[1537] = vX_[1492] * vX_[1016] + vX_[1530] * vX_[700] + vX_[1537] * vX_[684];
+ vX_[1530] = 0 - vX_[1537];
+ vX_[1538] = vX_[1491] * vX_[1016] + vX_[1531] * vX_[700] + vX_[1538] * vX_[684];
+ vX_[1531] = 0 - vX_[1538];
+ vX_[1491] = 0 - vX_[1451] * vX_[1016] - vX_[1532] * vX_[700] - vX_[1539] * vX_[684];
+ vX_[1492] = 0 - vX_[1491];
+ vX_[1542] = (vX_[1530] * vX_[595] + vX_[1531] * vX_[644] + vX_[1492] * vX_[550]) * 1 / vX_[580];
+ vX_[1543] = 0 - vX_[1433] * vX_[861] - vX_[1534] * vX_[694] - vX_[1541] * vX_[566] - vX_[1542] * vX_[645];
+ vX_[1544] = 0 - vX_[1525];
+ vX_[1545] = 0 - vX_[1528];
+ vX_[1546] = 0 - vX_[1532];
+ vX_[1547] = 0 - vX_[1534];
+ vX_[1548] = 0 - vX_[1525];
+ vX_[1549] = 0 - vX_[1528];
+ vX_[1550] = 0 - vX_[1532];
+ vX_[1551] = 0 - vX_[1534];
+ vX_[1552] = (vX_[1548] * vX_[691] + vX_[1549] * vX_[624] + vX_[1550] * vX_[471] + vX_[1551] * vX_[629]) * 1 / vX_[578];
+ vX_[1553] = 0 - vX_[1552];
+ vX_[1554] = (vX_[1544] * vX_[536] + vX_[1545] * vX_[472] + vX_[1546] * vX_[656] + vX_[1547] * vX_[590] + vX_[1553] * vX_[598]) * 1 / vX_[581];
+ vX_[1555] = 0 - vX_[1527];
+ vX_[1556] = 0 - vX_[1535];
+ vX_[1557] = 0 - vX_[1539];
+ vX_[1558] = 0 - vX_[1541];
+ vX_[1559] = 0 - vX_[1527];
+ vX_[1560] = 0 - vX_[1535];
+ vX_[1561] = 0 - vX_[1539];
+ vX_[1562] = 0 - vX_[1541];
+ vX_[1563] = (vX_[1559] * vX_[691] + vX_[1560] * vX_[624] + vX_[1561] * vX_[471] + vX_[1562] * vX_[629]) * 1 / vX_[578];
+ vX_[1564] = 0 - vX_[1563];
+ vX_[1565] = (vX_[1555] * vX_[536] + vX_[1556] * vX_[472] + vX_[1557] * vX_[656] + vX_[1558] * vX_[590] + vX_[1564] * vX_[598]) * 1 / vX_[581];
+ vX_[1566] = 0 - vX_[1537];
+ vX_[1567] = 0 - vX_[1538];
+ vX_[1568] = 0 - vX_[1491];
+ vX_[1569] = 0 - vX_[1542];
+ vX_[1570] = 0 - vX_[1537];
+ vX_[1571] = 0 - vX_[1538];
+ vX_[1572] = 0 - vX_[1491];
+ vX_[1573] = 0 - vX_[1542];
+ vX_[1574] = (vX_[1570] * vX_[691] + vX_[1571] * vX_[624] + vX_[1572] * vX_[471] + vX_[1573] * vX_[629]) * 1 / vX_[578];
+ vX_[1575] = 0 - vX_[1574];
+ vX_[1576] = (vX_[1566] * vX_[536] + vX_[1567] * vX_[472] + vX_[1568] * vX_[656] + vX_[1569] * vX_[590] + vX_[1575] * vX_[598]) * 1 / vX_[581];
+ vX_[1530] = vX_[1463] * vX_[861] + vX_[1526] * vX_[694] + vX_[1495] * vX_[566] + vX_[1530] * vX_[645];
+ vX_[1495] = 0 - vX_[1530];
+ vX_[1531] = vX_[1402] * vX_[861] + vX_[1529] * vX_[694] + vX_[1536] * vX_[566] + vX_[1531] * vX_[645];
+ vX_[1536] = 0 - vX_[1531];
+ vX_[1492] = vX_[1422] * vX_[861] + vX_[1533] * vX_[694] + vX_[1540] * vX_[566] + vX_[1492] * vX_[645];
+ vX_[1540] = 0 - vX_[1492];
+ vX_[1533] = 0 - vX_[1543];
+ vX_[1422] = 0 - vX_[1530];
+ vX_[1529] = 0 - vX_[1531];
+ vX_[1402] = 0 - vX_[1492];
+ vX_[1526] = 0 - vX_[1543];
+ vX_[1463] = (vX_[1422] * vX_[691] + vX_[1529] * vX_[624] + vX_[1402] * vX_[471] + vX_[1526] * vX_[629]) * 1 / vX_[578];
+ vX_[1577] = 0 - vX_[1463];
+ vX_[1578] = (vX_[1495] * vX_[536] + vX_[1536] * vX_[472] + vX_[1540] * vX_[656] + vX_[1533] * vX_[590] + vX_[1577] * vX_[598]) * 1 / vX_[581];
+ vX_[1422] = vX_[1438] * vX_[922] + vX_[1548] * vX_[692] + vX_[1559] * vX_[564] + vX_[1570] * vX_[519] + vX_[1422] * vX_[630];
+ vX_[1570] = 0 - vX_[1422];
+ vX_[1529] = vX_[1446] * vX_[922] + vX_[1549] * vX_[692] + vX_[1560] * vX_[564] + vX_[1571] * vX_[519] + vX_[1529] * vX_[630];
+ vX_[1571] = 0 - vX_[1529];
+ vX_[1402] = vX_[1460] * vX_[922] + vX_[1550] * vX_[692] + vX_[1561] * vX_[564] + vX_[1572] * vX_[519] + vX_[1402] * vX_[630];
+ vX_[1572] = 0 - vX_[1402];
+ vX_[1526] = vX_[1459] * vX_[922] + vX_[1551] * vX_[692] + vX_[1562] * vX_[564] + vX_[1573] * vX_[519] + vX_[1526] * vX_[630];
+ vX_[1573] = 0 - vX_[1526];
+ vX_[1562] = 0 - vX_[1458] * vX_[922] - vX_[1552] * vX_[692] - vX_[1563] * vX_[564] - vX_[1574] * vX_[519] - vX_[1463] * vX_[630];
+ vX_[1551] = 0 - vX_[1562];
+ vX_[1459] = (vX_[1570] * vX_[536] + vX_[1571] * vX_[472] + vX_[1572] * vX_[656] + vX_[1573] * vX_[590] + vX_[1551] * vX_[598]) * 1 / vX_[581];
+ vX_[1561] = 0 - vX_[1038] * vX_[995] - vX_[1554] * vX_[686] - vX_[1565] * vX_[582] - vX_[1576] * vX_[552] - vX_[1578] * vX_[586] - vX_[1459] * vX_[599];
+ vX_[1550] = vX_[1543] - vX_[1561];
+ vX_[1460] = vX_[1463] + vX_[1526];
+ vX_[1560] = vX_[1550] * vX_[449] + vX_[1460] * vX_[447];
+ vX_[1549] = vX_[1562] - vX_[1561];
+ vX_[1446] = vX_[1549] * vX_[449];
+ vX_[1559] = vX_[1550] * vX_[435] + vX_[1460] * vX_[449];
+ vX_[1548] = vX_[1549] * vX_[447];
+ vX_[1438] = vX_[1559] + vX_[1548];
+ vX_[1579] = vX_[1560] * vX_[435] + vX_[1446] * vX_[447] + vX_[1438] * vX_[449];
+ vX_[1580] = 0 - vX_[1579];
+ vX_[1581] = vX_[1561] + vX_[1559] * vX_[435] + vX_[1446] * vX_[449];
+ vX_[1582] = 0 - vX_[1581];
+ vX_[1583] = vX_[1561] + vX_[1560] * vX_[449] + vX_[1548] * vX_[447];
+ vX_[1571] = vX_[1456] * vX_[995] + vX_[1545] * vX_[686] + vX_[1556] * vX_[582] + vX_[1567] * vX_[552] + vX_[1536] * vX_[586] + vX_[1571] * vX_[599];
+ vX_[1536] = vX_[1565] + vX_[1571];
+ vX_[1567] = vX_[1574] + vX_[1402] - vX_[1536];
+ vX_[1570] = vX_[1457] * vX_[995] + vX_[1544] * vX_[686] + vX_[1555] * vX_[582] + vX_[1566] * vX_[552] + vX_[1495] * vX_[586] + vX_[1570] * vX_[599];
+ vX_[1495] = vX_[1554] + vX_[1570];
+ vX_[1566] = 0 - (vX_[1542] + vX_[1492]) + vX_[1495];
+ vX_[1555] = (vX_[1495] * vX_[435] + vX_[1536] * vX_[449]) * -1;
+ vX_[1544] = 0 - (vX_[1567] * vX_[449] + vX_[1566] * vX_[447]) + vX_[1555];
+ vX_[1457] = vX_[1544] + vX_[1581] * vX_[436];
+ vX_[1556] = 0 - vX_[1457];
+ vX_[1545] = (vX_[1495] * vX_[449] + vX_[1536] * vX_[447]) * -1;
+ vX_[1456] = vX_[1567] * vX_[435] + vX_[1566] * vX_[449] + vX_[1545];
+ vX_[1584] = 0 - vX_[1583];
+ vX_[1585] = vX_[1456] + vX_[1579] * vX_[436] + vX_[1584] * vX_[355];
+ vX_[1586] = vX_[1541] + vX_[1531];
+ vX_[1587] = vX_[1534] + vX_[1530];
+ vX_[1588] = vX_[1586] * vX_[447] + vX_[1587] * vX_[449];
+ vX_[1589] = vX_[1552] + vX_[1422];
+ vX_[1590] = vX_[1563] + vX_[1529];
+ vX_[1591] = vX_[1589] * vX_[449] + vX_[1590] * vX_[447];
+ vX_[1592] = vX_[1588] * vX_[435] + vX_[1591] * vX_[449];
+ vX_[1551] = vX_[1435] * vX_[995] + vX_[1553] * vX_[686] + vX_[1564] * vX_[582] + vX_[1575] * vX_[552] + vX_[1577] * vX_[586] + vX_[1551] * vX_[599];
+ vX_[1577] = vX_[1459] + vX_[1551];
+ vX_[1573] = vX_[1453] * vX_[995] + vX_[1547] * vX_[686] + vX_[1558] * vX_[582] + vX_[1569] * vX_[552] + vX_[1533] * vX_[586] + vX_[1573] * vX_[599];
+ vX_[1533] = vX_[1578] + vX_[1573];
+ vX_[1569] = 0 - vX_[1533];
+ vX_[1558] = vX_[1577] * vX_[449] + vX_[1569] * vX_[447];
+ vX_[1547] = 0 - vX_[1558];
+ vX_[1453] = vX_[1592] + vX_[1547] * vX_[355] + vX_[1582] * vX_[451];
+ vX_[1575] = 0 - vX_[1453];
+ vX_[1564] = vX_[1586] * vX_[449] + vX_[1587] * vX_[435];
+ vX_[1553] = vX_[1589] * vX_[435] + vX_[1590] * vX_[449];
+ vX_[1435] = vX_[1564] * vX_[449] + vX_[1553] * vX_[447];
+ vX_[1533] = 0 - vX_[1533];
+ vX_[1593] = vX_[1577] * vX_[435] + vX_[1533] * vX_[449];
+ vX_[1594] = 0 - vX_[1593];
+ vX_[1595] = vX_[1435] + vX_[1594] * vX_[436] + vX_[1583] * vX_[451];
+ vX_[1596] = vX_[1564] * vX_[435] + vX_[1553] * vX_[449];
+ vX_[1597] = vX_[1596] + vX_[1558] * vX_[436];
+ vX_[1598] = vX_[1588] * vX_[449] + vX_[1591] * vX_[447];
+ vX_[1599] = vX_[1598] + vX_[1593] * vX_[355] + vX_[1580] * vX_[451];
+ vX_[1600] = 0 - vX_[1597] + vX_[1599];
+ vX_[1601] = 0 - vX_[1579];
+ vX_[1602] = 0 - vX_[1581];
+ vX_[1582] = vX_[1580] * vX_[573] + vX_[1582] * vX_[518] + vX_[1583] * vX_[414] + vX_[1556] * vX_[452] + vX_[1585] * vX_[463] + vX_[1575] * vX_[443] + vX_[1595] * vX_[437] + vX_[1600] * vX_[434] + vX_[1579] * vX_[567] + vX_[1601] * vX_[570] + vX_[1602] * vX_[517] + vX_[1583] * vX_[521];
+ vX_[1580] = 0 - vX_[1474];
+ vX_[1603] = vX_[1375] * -1 + vX_[1328] * -0.08;
+ vX_[1604] = vX_[1603] + vX_[1482] * -0.35;
+ vX_[1605] = vX_[1604] * 0.881 + (0 - vX_[1506]) * 0.1104774 + vX_[1509] * 0.0004405;
+ vX_[1606] = vX_[1376] * 0.00185880198235362 + vX_[1374] * 0.880992588508842 + vX_[1506] * -8.81e-05;
+ vX_[1607] = vX_[1580] * vX_[706] + vX_[1605] * vX_[635] + vX_[1606] * x_in[26];
+ vX_[783] = 0 - vX_[787] + vX_[1110] - vX_[783];
+ vX_[1110] = 0 - vX_[1605];
+ vX_[787] = vX_[1376] * 0.414812462825713 + vX_[1374] * 0.00185880198235362 + vX_[1509] * 8.81e-05;
+ vX_[1608] = vX_[783] * vX_[706] + vX_[1110] * vX_[352] - vX_[787] * x_in[26];
+ vX_[1609] = 0 - vX_[789];
+ vX_[1610] = vX_[1603] * 3.146 + (0 - vX_[1482]) * 0.47422804 + vX_[1510] * -0.0825825;
+ vX_[1611] = vX_[1315] * vX_[411] + vX_[1417] * vX_[410] + vX_[1482] * vX_[387] + vX_[1510] * vX_[382];
+ vX_[1612] = vX_[1607] * vX_[357] + vX_[1608] * vX_[359] + vX_[1609] * vX_[628] + vX_[1610] * vX_[626] + vX_[1611] * x_in[25];
+ vX_[1505] = 0 - vX_[1507] + vX_[1505];
+ vX_[1507] = 0 - vX_[1610];
+ vX_[1613] = vX_[1315] * vX_[409] + vX_[1417] * vX_[411] + vX_[1482] * vX_[393] + vX_[1510] * vX_[392];
+ vX_[1614] = vX_[1607] * vX_[618] + vX_[1608] * vX_[357] + vX_[1505] * vX_[628] + vX_[1507] * vX_[651] - vX_[1613] * x_in[25];
+ vX_[1615] = vX_[1375] * -3.44;
+ vX_[1616] = vX_[1328] * 0.1466472;
+ vX_[1617] = vX_[1511] * 0.5824264;
+ vX_[1618] = 0 - vX_[1615] + vX_[1616] - vX_[1617];
+ vX_[1619] = 0 - vX_[1522];
+ vX_[1620] = vX_[1416] * vX_[463] + vX_[1375] * vX_[437] + vX_[1436] * vX_[434] + vX_[1405] * vX_[567] + vX_[1511] * vX_[515];
+ vX_[1621] = vX_[1612] * vX_[668] + vX_[1614] * vX_[383] + vX_[1618] * vX_[697] + vX_[1619] * vX_[704] - vX_[1620] * x_in[24];
+ vX_[1622] = vX_[1543] + vX_[1562] + vX_[1561] - vX_[1581] - vX_[1583];
+ vX_[1623] = 0 - vX_[1622];
+ vX_[1555] = vX_[1555] + vX_[1623] * vX_[436];
+ vX_[1545] = vX_[1545] + vX_[1622] * vX_[355];
+ vX_[1624] = 0 - vX_[1585];
+ vX_[1625] = 0 - vX_[1595];
+ vX_[1572] = vX_[1455] * vX_[995] + vX_[1546] * vX_[686] + vX_[1557] * vX_[582] + vX_[1568] * vX_[552] + vX_[1540] * vX_[586] + vX_[1572] * vX_[599];
+ vX_[1540] = vX_[1576] + vX_[1572] + vX_[1587] + vX_[1590] - vX_[1596] - vX_[1598];
+ vX_[1599] = vX_[1540] - vX_[1599];
+ vX_[1568] = 0 - vX_[1558];
+ vX_[1557] = 0 - vX_[1579];
+ vX_[1546] = 0 - vX_[1583];
+ vX_[1455] = vX_[1525] - vX_[1491];
+ vX_[1626] = vX_[1535] - vX_[1491];
+ vX_[1627] = vX_[1528] + vX_[1527];
+ vX_[1628] = vX_[1539] + vX_[1538];
+ vX_[1629] = vX_[1532] + vX_[1537];
+ vX_[1630] = 0 - vX_[1629];
+ vX_[1631] = vX_[1455] * vX_[449] + vX_[1627] * vX_[447];
+ vX_[1632] = vX_[1626] * vX_[449];
+ vX_[1633] = vX_[1455] * vX_[435] + vX_[1627] * vX_[449];
+ vX_[1634] = vX_[1626] * vX_[447];
+ vX_[1635] = vX_[1633] + vX_[1634];
+ vX_[1636] = vX_[1604] * 0.0004405 + vX_[1376] * -8.81e-05 + vX_[1509] * -0.000227999999999999;
+ vX_[1637] = vX_[1604] * 0.1104774 + vX_[1374] * -8.81e-05 + (0 - vX_[1506]) * 0.025713;
+ vX_[1638] = (0 - vX_[1376]) * 0.0004405;
+ vX_[1639] = (0 - vX_[1374]) * 0.1104774;
+ vX_[1640] = vX_[1638] + vX_[1639];
+ vX_[1640] = vX_[1580] * vX_[606] + vX_[783] * vX_[234] + vX_[1636] * vX_[352] + vX_[1637] * vX_[635] + vX_[1640] * vX_[706] + vX_[1640] * vX_[706];
+ vX_[783] = vX_[1603] * -0.0825825 + (0 - vX_[1428]) * 0.000102 + vX_[1482] * 0.007418 + vX_[1510] * 0.002735;
+ vX_[1580] = vX_[1603] * 0.47422804 + vX_[1428] * 2.1e-05 + (0 - vX_[1482]) * 0.084376 + (0 - vX_[1510]) * 0.007418;
+ vX_[1641] = (0 - vX_[1315]) * -0.0825825;
+ vX_[1642] = (0 - vX_[1417]) * 0.47422804;
+ vX_[1643] = vX_[1482] * 0.000102;
+ vX_[1644] = (0 - vX_[1510]) * 2.1e-05;
+ vX_[1645] = vX_[1641] + vX_[1642] + vX_[1643] + vX_[1644];
+ vX_[1645] = vX_[1640] + vX_[1607] * vX_[612] + vX_[1608] * vX_[362] + vX_[1609] * vX_[653] + vX_[1505] * vX_[649] + vX_[783] * vX_[651] + vX_[1580] * vX_[626] + vX_[1645] * vX_[628] + vX_[1645] * vX_[628];
+ vX_[1505] = vX_[1375] * 0.5824264 + (0 - vX_[1328]) * -0.022734 + vX_[1405] * -3.6e-05 + vX_[1511] * -0.133138;
+ vX_[1609] = vX_[1375] * 0.1466472 + vX_[1328] * 0.009466 + (0 - vX_[1405]) * -5.1e-05 + vX_[1511] * -0.022734;
+ vX_[1646] = (0 - vX_[1416]) * 0.5824264;
+ vX_[1647] = (0 - vX_[1436]) * 0.1466472;
+ vX_[1648] = (0 - vX_[1328]) * -3.6e-05;
+ vX_[1649] = (0 - vX_[1511]) * -5.1e-05;
+ vX_[1650] = vX_[1646] + vX_[1647] + vX_[1648] - vX_[1649];
+ vX_[1651] = vX_[1416] * vX_[468] + vX_[1375] * vX_[515] + vX_[1436] * vX_[570] + vX_[1405] * vX_[569] + vX_[1511] * vX_[431];
+ vX_[1650] = vX_[1612] * vX_[662] + vX_[1614] * vX_[401] + vX_[1645] * -1 + vX_[1243] * vX_[702] + vX_[1619] * vX_[690] + vX_[1505] * vX_[697] + vX_[1609] * vX_[664] + vX_[1650] * vX_[704] + vX_[1650] * vX_[704] + vX_[1651] * x_in[24];
+ vX_[1244] = vX_[1376] * 0.1104774 + vX_[1374] * 0.0004405 + vX_[1244] * 0.025941;
+ vX_[1619] = (0 - vX_[1604]) * -8.81e-05;
+ vX_[1639] = vX_[1619] + vX_[1639];
+ vX_[1509] = vX_[1604] * 0.0004405 + vX_[1376] * 8.81e-05 + vX_[1509] * 0.000468;
+ vX_[1639] = vX_[1474] * vX_[731] + vX_[1110] * vX_[234] + vX_[1636] * vX_[706] + vX_[1244] * vX_[635] + vX_[1639] * vX_[352] + vX_[1639] * vX_[352] + vX_[1509] * x_in[26];
+ vX_[1619] = vX_[1619] + vX_[1638];
+ vX_[1604] = vX_[1604] * -0.1104774 + vX_[1374] * -8.81e-05 + vX_[1506] * 0.026409;
+ jac[958] = vX_[787] * vX_[737] + vX_[1606] * vX_[606] + vX_[1604] * vX_[709] + vX_[1509] * vX_[352] + vX_[1640];
+ vX_[1604] = vX_[1475] * vX_[731] + vX_[1605] * vX_[606] + vX_[1637] * vX_[706] + vX_[1244] * vX_[352] + vX_[1619] * vX_[635] + vX_[1619] * vX_[635] - vX_[1604] * x_in[26];
+ vX_[1619] = vX_[1315] * 0.47422804 + vX_[1417] * -0.0825825 + vX_[1428] * 0.081641 + (0 - vX_[1482]) * 2.1e-05 + vX_[1510] * 0.000102;
+ vX_[1244] = (0 - vX_[1428]) * 0.007418;
+ vX_[1644] = vX_[1642] + vX_[1244] - vX_[1644];
+ vX_[1642] = vX_[1603] * vX_[377] + vX_[1315] * vX_[392] + vX_[1417] * vX_[382] + vX_[1482] * vX_[426] + vX_[1510] * vX_[422];
+ vX_[1644] = vX_[1343] * -0.35 + vX_[1639] * vX_[357] + vX_[1604] * vX_[359] + vX_[789] * vX_[730] + vX_[1507] * vX_[649] + vX_[783] * vX_[628] + vX_[1619] * vX_[626] + vX_[1644] * vX_[651] + vX_[1644] * vX_[651] + vX_[1642] * x_in[25];
+ vX_[1244] = vX_[1641] - vX_[1244] - vX_[1643];
+ vX_[1643] = vX_[1603] * vX_[389] + vX_[1315] * vX_[393] + vX_[1417] * vX_[387] + vX_[1482] * vX_[420] + vX_[1510] * vX_[426];
+ jac[922] = vX_[1613] * vX_[739] + vX_[1611] * vX_[653] + vX_[1643] * vX_[715] + vX_[1642] * vX_[651] + vX_[1645];
+ vX_[1643] = vX_[1639] * vX_[360] + vX_[1604] * vX_[357] + vX_[1378] * vX_[730] + vX_[1610] * vX_[653] + vX_[1580] * vX_[628] + vX_[1619] * vX_[651] + vX_[1244] * vX_[626] + vX_[1244] * vX_[626] - vX_[1643] * x_in[25];
+ vX_[1617] = vX_[1615] - vX_[1616] + vX_[1617];
+ vX_[1616] = vX_[1416] * 0.1466472 + vX_[1436] * 0.5824264 + vX_[1328] * -5.1e-05 + (0 - vX_[1405]) * -0.123672 + (0 - vX_[1511]) * -3.6e-05;
+ vX_[1615] = vX_[1405] * -0.022734;
+ vX_[1648] = vX_[1646] - vX_[1648] - vX_[1615];
+ vX_[1646] = vX_[1416] * vX_[405] + vX_[1375] * vX_[567] + vX_[1436] * vX_[516] + vX_[1405] * vX_[514] + vX_[1511] * vX_[569];
+ vX_[1648] = vX_[1644] * vX_[395] + vX_[1643] * vX_[383] + vX_[1617] * vX_[702] + vX_[1522] * vX_[725] + vX_[1616] * vX_[697] + vX_[1609] * vX_[704] + vX_[1648] * vX_[664] + vX_[1648] * vX_[664] - vX_[1646] * x_in[24];
+ vX_[1609] = 0 - vX_[1555];
+ vX_[1522] = 0 - vX_[1545];
+ vX_[1540] = 0 - vX_[1540] + vX_[1597];
+ vX_[1597] = 0 - vX_[1593];
+ vX_[1629] = 0 - vX_[1629];
+ jac[238] = 0 - (0 - (vX_[1322] * vX_[718] + vX_[1524] * x_in[22]) + (vX_[1433] * vX_[718] + vX_[1582] * vX_[449] + vX_[1524] * x_in[20]) * -0.3735 - (vX_[1496] * vX_[949] + vX_[1621] * x_in[23]) + (vX_[1458] * vX_[949] + vX_[1621] * x_in[19]) * 0.3735 + (vX_[1038] * vX_[949] + (vX_[1547] * vX_[518] + vX_[1593] * vX_[573] + vX_[1622] * vX_[462] + vX_[1584] * vX_[464] + vX_[1555] * vX_[434] + vX_[1545] * vX_[443] + vX_[1624] * vX_[446] + vX_[1625] * vX_[463] + vX_[1599] * vX_[452] + vX_[1568] * vX_[516] + vX_[1593] * vX_[570] + vX_[1557] * vX_[405] + vX_[1546] * vX_[523]) * -1 + vX_[1621] * x_in[18]) * -0.207 - (vX_[1433] * vX_[688] + vX_[1458] * vX_[747] + vX_[1455] * vX_[681] + vX_[1626] * vX_[679] + vX_[1627] * vX_[677] + vX_[1628] * vX_[654] + vX_[1630] * vX_[452] + vX_[1631] * vX_[658] + vX_[1632] * vX_[657] + vX_[1635] * vX_[434] + vX_[1586] * vX_[643] + vX_[1589] * vX_[623] + vX_[1495] * vX_[470] + vX_[1536] * vX_[460] + vX_[1587] * vX_[642] + vX_[1590] * vX_[620] + vX_[1564] * vX_[619] + vX_[1588] * vX_[621] + vX_[1553] * vX_[572] + vX_[1591] * vX_[622] + vX_[1567] * vX_[459] + vX_[1566] * vX_[469] + vX_[1550] * vX_[579] + vX_[1549] * vX_[577] + vX_[1460] * vX_[575] + vX_[1577] * vX_[596] + vX_[1533] * vX_[597] + vX_[1560] * vX_[524] + vX_[1446] * vX_[520] + vX_[1438] * vX_[574] + vX_[1582] * vX_[450] + vX_[1650] * x_in[19] + vX_[1648] * x_in[20])) * vX_[1083] + (vX_[1496] * vX_[718] + vX_[1433] * vX_[747] + vX_[1455] * vX_[677] + vX_[1628] * vX_[452] + vX_[1633] * vX_[657] + vX_[1631] * vX_[434] + vX_[1589] * vX_[620] + vX_[1495] * vX_[460] + vX_[1587] * vX_[643] + vX_[1564] * vX_[572] + vX_[1588] * vX_[622] + vX_[1567] * vX_[469] + vX_[1550] * vX_[575] + vX_[1577] * vX_[597] + vX_[1559] * vX_[520] + vX_[1560] * vX_[574] + (vX_[1558] * vX_[571] + vX_[1594] * vX_[414] + vX_[1579] * vX_[464] + vX_[1623] * vX_[438] + vX_[1581] * vX_[453] + vX_[1609] * vX_[437] + vX_[1457] * vX_[446] + vX_[1522] * vX_[434] + vX_[1453] * vX_[452] + vX_[1540] * vX_[463] + vX_[1558] * vX_[567] + vX_[1597] * vX_[515] + vX_[1579] * vX_[468] + vX_[1581] * vX_[512]) * 0.207 + vX_[1524] * x_in[23] + vX_[1650] * x_in[20] + (vX_[1458] * vX_[718] + vX_[1582] * vX_[447] + vX_[1524] * x_in[19]) * -0.3735 + (vX_[1038] * vX_[718] + vX_[1524] * x_in[18]) * 0.207 - (vX_[1322] * vX_[949] + vX_[1621] * x_in[22]) + (vX_[1433] * vX_[949] + vX_[1621] * x_in[20]) * -0.3735 - (vX_[1458] * vX_[688] + vX_[1626] * vX_[678] + vX_[1627] * vX_[681] + vX_[1629] * vX_[654] + vX_[1632] * vX_[434] + vX_[1634] * vX_[658] + vX_[1586] * vX_[642] + vX_[1536] * vX_[470] + vX_[1590] * vX_[623] + vX_[1553] * vX_[619] + vX_[1591] * vX_[621] + vX_[1566] * vX_[459] + vX_[1549] * vX_[576] + vX_[1460] * vX_[579] + vX_[1569] * vX_[596] + vX_[1446] * vX_[574] + vX_[1548] * vX_[524] + vX_[1582] * vX_[448] + vX_[1648] * x_in[19])) * vX_[1093];
+ vX_[1627] = -1 * 1 / vX_[682];
+ vX_[1626] = 0 - vX_[1627];
+ vX_[1455] = vX_[1626] * vX_[705] * 1 / vX_[680];
+ vX_[1623] = 0 - vX_[1627];
+ vX_[1622] = 0 - vX_[1455];
+ vX_[1582] = (vX_[1623] * vX_[699] + vX_[1622] * vX_[655]) * 1 / vX_[683];
+ vX_[1594] = 0 - vX_[1627];
+ vX_[1533] = 0 - vX_[1455];
+ vX_[1553] = 0 - vX_[1582];
+ vX_[1564] = (vX_[1594] * vX_[595] + vX_[1533] * vX_[644] + vX_[1553] * vX_[550]) * 1 / vX_[580];
+ vX_[1547] = vX_[1582] * -1 + vX_[1564] * 0.207;
+ vX_[1569] = 0 - vX_[1627];
+ vX_[1577] = 0 - vX_[1455];
+ vX_[1591] = 0 - vX_[1582];
+ vX_[1590] = 0 - vX_[1564];
+ vX_[1589] = (vX_[1569] * vX_[691] + vX_[1577] * vX_[624] + vX_[1591] * vX_[471] + vX_[1590] * vX_[629]) * 1 / vX_[578];
+ vX_[1588] = 0 - vX_[1627];
+ vX_[1587] = 0 - vX_[1455];
+ vX_[1586] = 0 - vX_[1582];
+ vX_[1584] = 0 - vX_[1564];
+ vX_[1566] = 0 - vX_[1589];
+ vX_[1495] = (vX_[1588] * vX_[536] + vX_[1587] * vX_[472] + vX_[1586] * vX_[656] + vX_[1584] * vX_[590] + vX_[1566] * vX_[598]) * 1 / vX_[581];
+ vX_[1567] = vX_[1627] * vX_[583] + vX_[1455] * vX_[587] + vX_[1564] * vX_[696] + vX_[1589] * vX_[591] + vX_[1495] * vX_[354];
+ vX_[1536] = vX_[1564] * vX_[435] + vX_[1589] * vX_[449];
+ vX_[1438] = vX_[1547] * vX_[383] + vX_[1567] * vX_[668] + vX_[1536] * vX_[662];
+ vX_[1548] = vX_[1547] * vX_[356] + vX_[1567] * vX_[383] + vX_[1536] * vX_[401];
+ vX_[1559] = vX_[1536] * -1;
+ vX_[1446] = vX_[1438] * 1 / vX_[380];
+ vX_[1549] = vX_[1548] * 1 / vX_[380];
+ vX_[1560] = vX_[1559] * 1 / vX_[380];
+ vX_[1460] = vX_[1495] * -1;
+ vX_[1550] = vX_[1547] * 1 / vX_[432];
+ vX_[1244] = vX_[1627] * vX_[435] + vX_[1455] * vX_[353] + vX_[1564] * vX_[450] + vX_[1589] * vX_[448] + vX_[1495] * vX_[724];
+ vX_[1619] = vX_[1244] * 1 / vX_[432];
+ vX_[1580] = vX_[1567] * 1 / vX_[432];
+ vX_[1610] = vX_[1460] * 1 / vX_[432];
+ vX_[1378] = vX_[1536] * 1 / vX_[432];
+ vX_[1642] = vX_[1564] * vX_[449] + vX_[1589] * vX_[447];
+ vX_[1645] = vX_[1642] * 1 / vX_[432];
+ vX_[1460] = vX_[1460] - (vX_[1550] * vX_[444] + vX_[1619] * vX_[406] + vX_[1580] * vX_[396] + vX_[1610] * vX_[432] + vX_[1378] * vX_[458] + vX_[1645] * vX_[467]);
+ vX_[1613] = vX_[1460] * vX_[383] + vX_[1642] * vX_[395];
+ vX_[1611] = vX_[1613] * 1 / vX_[380];
+ vX_[1641] = vX_[1460] * vX_[356] + vX_[1642] * vX_[383];
+ vX_[783] = vX_[1641] * 1 / vX_[380];
+ vX_[1559] = vX_[1559] - (vX_[1446] * vX_[390] + vX_[1549] * vX_[378] + vX_[1560] * vX_[380] + vX_[1611] * vX_[386] + vX_[783] * vX_[368]);
+ vX_[1507] = vX_[1438] * vX_[359] + vX_[1548] * vX_[357] + vX_[1559] * vX_[362];
+ vX_[789] = vX_[1438] * vX_[357] + vX_[1548] * vX_[618] + vX_[1559] * vX_[612];
+ vX_[1343] = vX_[1559] - (vX_[789] * 38.1956380581338 * 0.1104774 + vX_[1507] * 38.1956380581338 * -0.0004405 + vX_[1559] * 38.1956380581338 * 0.026181);
+ vX_[1637] = vX_[1613] * vX_[357] + vX_[1641] * vX_[360];
+ vX_[1605] = vX_[1507] * 0.881 + (0 - vX_[1343]) * 0.0004405 + vX_[1637] * -8.81e-05;
+ vX_[1475] = vX_[789] * -0.881;
+ vX_[1509] = vX_[1343] * 0.1104774;
+ vX_[1640] = vX_[1613] * vX_[359] + vX_[1641] * vX_[357];
+ vX_[787] = vX_[1640] * -8.81e-05;
+ vX_[1606] = vX_[1475] - vX_[1509] + vX_[787];
+ vX_[1506] = vX_[1605] * vX_[352] + vX_[1606] * vX_[635];
+ vX_[1374] = vX_[1548] * 3.146 + (0 - vX_[1559]) * -0.0825825;
+ vX_[1638] = vX_[1438] * -3.146;
+ vX_[1636] = vX_[1559] * 0.47422804;
+ vX_[1110] = vX_[1638] - vX_[1636];
+ vX_[1474] = vX_[1506] + vX_[1374] * vX_[651] + vX_[1110] * vX_[626];
+ vX_[1376] = vX_[1567] * 3.44 + vX_[1536] * 0.5824264;
+ vX_[1652] = 0 - vX_[1376];
+ vX_[1653] = vX_[1547] * 3.44 + (0 - vX_[1536]) * 0.1466472;
+ vX_[1654] = vX_[1547] * vX_[452] + vX_[1244] * vX_[434] + vX_[1567] * vX_[443] + vX_[1536] * vX_[516] + vX_[1642] * vX_[570];
+ vX_[1655] = vX_[1474] * -1 + vX_[1652] * vX_[697] + vX_[1653] * vX_[664] + vX_[1654] * x_in[24];
+ vX_[1656] = 0 - vX_[1627] * vX_[1014];
+ vX_[1657] = 0 - vX_[1656];
+ vX_[1658] = 0 - vX_[1656];
+ vX_[1659] = vX_[1658] * vX_[705] * 1 / vX_[680];
+ vX_[1660] = 0 - vX_[1659];
+ vX_[1661] = 0 - vX_[1656];
+ vX_[1662] = 0 - vX_[1659];
+ vX_[1663] = (vX_[1661] * vX_[699] + vX_[1662] * vX_[655]) * 1 / vX_[683];
+ vX_[1664] = 0 - vX_[1663];
+ vX_[1665] = (vX_[1657] * vX_[595] + vX_[1660] * vX_[644] + vX_[1664] * vX_[550]) * 1 / vX_[580];
+ vX_[1658] = vX_[1626] * vX_[703] + vX_[1658] * vX_[674];
+ vX_[1626] = 0 - vX_[1658];
+ vX_[1666] = 0 - vX_[1455] * vX_[703] - vX_[1659] * vX_[674];
+ vX_[1667] = 0 - vX_[1666];
+ vX_[1668] = 0 - vX_[1658];
+ vX_[1669] = 0 - vX_[1666];
+ vX_[1670] = (vX_[1668] * vX_[699] + vX_[1669] * vX_[655]) * 1 / vX_[683];
+ vX_[1671] = 0 - vX_[1670];
+ vX_[1672] = (vX_[1626] * vX_[595] + vX_[1667] * vX_[644] + vX_[1671] * vX_[550]) * 1 / vX_[580];
+ vX_[1668] = vX_[1623] * vX_[1016] + vX_[1661] * vX_[700] + vX_[1668] * vX_[684];
+ vX_[1661] = 0 - vX_[1668];
+ vX_[1669] = vX_[1622] * vX_[1016] + vX_[1662] * vX_[700] + vX_[1669] * vX_[684];
+ vX_[1662] = 0 - vX_[1669];
+ vX_[1622] = 0 - vX_[1582] * vX_[1016] - vX_[1663] * vX_[700] - vX_[1670] * vX_[684];
+ vX_[1623] = 0 - vX_[1622];
+ vX_[1673] = (vX_[1661] * vX_[595] + vX_[1662] * vX_[644] + vX_[1623] * vX_[550]) * 1 / vX_[580];
+ vX_[1674] = 0 - vX_[1564] * vX_[861] - vX_[1665] * vX_[694] - vX_[1672] * vX_[566] - vX_[1673] * vX_[645];
+ vX_[1675] = 0 - vX_[1656];
+ vX_[1676] = 0 - vX_[1659];
+ vX_[1677] = 0 - vX_[1663];
+ vX_[1678] = 0 - vX_[1665];
+ vX_[1679] = 0 - vX_[1656];
+ vX_[1680] = 0 - vX_[1659];
+ vX_[1681] = 0 - vX_[1663];
+ vX_[1682] = 0 - vX_[1665];
+ vX_[1683] = (vX_[1679] * vX_[691] + vX_[1680] * vX_[624] + vX_[1681] * vX_[471] + vX_[1682] * vX_[629]) * 1 / vX_[578];
+ vX_[1684] = 0 - vX_[1683];
+ vX_[1685] = (vX_[1675] * vX_[536] + vX_[1676] * vX_[472] + vX_[1677] * vX_[656] + vX_[1678] * vX_[590] + vX_[1684] * vX_[598]) * 1 / vX_[581];
+ vX_[1686] = 0 - vX_[1658];
+ vX_[1687] = 0 - vX_[1666];
+ vX_[1688] = 0 - vX_[1670];
+ vX_[1689] = 0 - vX_[1672];
+ vX_[1690] = 0 - vX_[1658];
+ vX_[1691] = 0 - vX_[1666];
+ vX_[1692] = 0 - vX_[1670];
+ vX_[1693] = 0 - vX_[1672];
+ vX_[1694] = (vX_[1690] * vX_[691] + vX_[1691] * vX_[624] + vX_[1692] * vX_[471] + vX_[1693] * vX_[629]) * 1 / vX_[578];
+ vX_[1695] = 0 - vX_[1694];
+ vX_[1696] = (vX_[1686] * vX_[536] + vX_[1687] * vX_[472] + vX_[1688] * vX_[656] + vX_[1689] * vX_[590] + vX_[1695] * vX_[598]) * 1 / vX_[581];
+ vX_[1697] = 0 - vX_[1668];
+ vX_[1698] = 0 - vX_[1669];
+ vX_[1699] = 0 - vX_[1622];
+ vX_[1700] = 0 - vX_[1673];
+ vX_[1701] = 0 - vX_[1668];
+ vX_[1702] = 0 - vX_[1669];
+ vX_[1703] = 0 - vX_[1622];
+ vX_[1704] = 0 - vX_[1673];
+ vX_[1705] = (vX_[1701] * vX_[691] + vX_[1702] * vX_[624] + vX_[1703] * vX_[471] + vX_[1704] * vX_[629]) * 1 / vX_[578];
+ vX_[1706] = 0 - vX_[1705];
+ vX_[1707] = (vX_[1697] * vX_[536] + vX_[1698] * vX_[472] + vX_[1699] * vX_[656] + vX_[1700] * vX_[590] + vX_[1706] * vX_[598]) * 1 / vX_[581];
+ vX_[1661] = vX_[1594] * vX_[861] + vX_[1657] * vX_[694] + vX_[1626] * vX_[566] + vX_[1661] * vX_[645];
+ vX_[1626] = 0 - vX_[1661];
+ vX_[1662] = vX_[1533] * vX_[861] + vX_[1660] * vX_[694] + vX_[1667] * vX_[566] + vX_[1662] * vX_[645];
+ vX_[1667] = 0 - vX_[1662];
+ vX_[1623] = vX_[1553] * vX_[861] + vX_[1664] * vX_[694] + vX_[1671] * vX_[566] + vX_[1623] * vX_[645];
+ vX_[1671] = 0 - vX_[1623];
+ vX_[1664] = 0 - vX_[1674];
+ vX_[1553] = 0 - vX_[1661];
+ vX_[1660] = 0 - vX_[1662];
+ vX_[1533] = 0 - vX_[1623];
+ vX_[1657] = 0 - vX_[1674];
+ vX_[1594] = (vX_[1553] * vX_[691] + vX_[1660] * vX_[624] + vX_[1533] * vX_[471] + vX_[1657] * vX_[629]) * 1 / vX_[578];
+ vX_[1708] = 0 - vX_[1594];
+ vX_[1709] = (vX_[1626] * vX_[536] + vX_[1667] * vX_[472] + vX_[1671] * vX_[656] + vX_[1664] * vX_[590] + vX_[1708] * vX_[598]) * 1 / vX_[581];
+ vX_[1553] = vX_[1569] * vX_[922] + vX_[1679] * vX_[692] + vX_[1690] * vX_[564] + vX_[1701] * vX_[519] + vX_[1553] * vX_[630];
+ vX_[1701] = 0 - vX_[1553];
+ vX_[1660] = vX_[1577] * vX_[922] + vX_[1680] * vX_[692] + vX_[1691] * vX_[564] + vX_[1702] * vX_[519] + vX_[1660] * vX_[630];
+ vX_[1702] = 0 - vX_[1660];
+ vX_[1533] = vX_[1591] * vX_[922] + vX_[1681] * vX_[692] + vX_[1692] * vX_[564] + vX_[1703] * vX_[519] + vX_[1533] * vX_[630];
+ vX_[1703] = 0 - vX_[1533];
+ vX_[1657] = vX_[1590] * vX_[922] + vX_[1682] * vX_[692] + vX_[1693] * vX_[564] + vX_[1704] * vX_[519] + vX_[1657] * vX_[630];
+ vX_[1704] = 0 - vX_[1657];
+ vX_[1693] = 0 - vX_[1589] * vX_[922] - vX_[1683] * vX_[692] - vX_[1694] * vX_[564] - vX_[1705] * vX_[519] - vX_[1594] * vX_[630];
+ vX_[1682] = 0 - vX_[1693];
+ vX_[1590] = (vX_[1701] * vX_[536] + vX_[1702] * vX_[472] + vX_[1703] * vX_[656] + vX_[1704] * vX_[590] + vX_[1682] * vX_[598]) * 1 / vX_[581];
+ vX_[1692] = 0 - vX_[1495] * vX_[995] - vX_[1685] * vX_[686] - vX_[1696] * vX_[582] - vX_[1707] * vX_[552] - vX_[1709] * vX_[586] - vX_[1590] * vX_[599];
+ vX_[1681] = vX_[1674] - vX_[1692];
+ vX_[1591] = vX_[1594] + vX_[1657];
+ vX_[1691] = vX_[1681] * vX_[449] + vX_[1591] * vX_[447];
+ vX_[1680] = vX_[1693] - vX_[1692];
+ vX_[1577] = vX_[1680] * vX_[449];
+ vX_[1690] = vX_[1681] * vX_[435] + vX_[1591] * vX_[449];
+ vX_[1679] = vX_[1680] * vX_[447];
+ vX_[1569] = vX_[1690] + vX_[1679];
+ vX_[1710] = vX_[1691] * vX_[435] + vX_[1577] * vX_[447] + vX_[1569] * vX_[449];
+ vX_[1711] = 0 - vX_[1710];
+ vX_[1712] = vX_[1692] + vX_[1690] * vX_[435] + vX_[1577] * vX_[449];
+ vX_[1713] = 0 - vX_[1712];
+ vX_[1714] = vX_[1692] + vX_[1691] * vX_[449] + vX_[1679] * vX_[447];
+ vX_[1702] = vX_[1587] * vX_[995] + vX_[1676] * vX_[686] + vX_[1687] * vX_[582] + vX_[1698] * vX_[552] + vX_[1667] * vX_[586] + vX_[1702] * vX_[599];
+ vX_[1667] = vX_[1696] + vX_[1702];
+ vX_[1698] = vX_[1705] + vX_[1533] - vX_[1667];
+ vX_[1701] = vX_[1588] * vX_[995] + vX_[1675] * vX_[686] + vX_[1686] * vX_[582] + vX_[1697] * vX_[552] + vX_[1626] * vX_[586] + vX_[1701] * vX_[599];
+ vX_[1626] = vX_[1685] + vX_[1701];
+ vX_[1697] = 0 - (vX_[1673] + vX_[1623]) + vX_[1626];
+ vX_[1686] = (vX_[1626] * vX_[435] + vX_[1667] * vX_[449]) * -1;
+ vX_[1675] = 0 - (vX_[1698] * vX_[449] + vX_[1697] * vX_[447]) + vX_[1686];
+ vX_[1588] = vX_[1675] + vX_[1712] * vX_[436];
+ vX_[1687] = 0 - vX_[1588];
+ vX_[1676] = (vX_[1626] * vX_[449] + vX_[1667] * vX_[447]) * -1;
+ vX_[1587] = vX_[1698] * vX_[435] + vX_[1697] * vX_[449] + vX_[1676];
+ vX_[1715] = 0 - vX_[1714];
+ vX_[1716] = vX_[1587] + vX_[1710] * vX_[436] + vX_[1715] * vX_[355];
+ vX_[1717] = vX_[1672] + vX_[1662];
+ vX_[1718] = vX_[1665] + vX_[1661];
+ vX_[1719] = vX_[1717] * vX_[447] + vX_[1718] * vX_[449];
+ vX_[1720] = vX_[1683] + vX_[1553];
+ vX_[1721] = vX_[1694] + vX_[1660];
+ vX_[1722] = vX_[1720] * vX_[449] + vX_[1721] * vX_[447];
+ vX_[1723] = vX_[1719] * vX_[435] + vX_[1722] * vX_[449];
+ vX_[1682] = vX_[1566] * vX_[995] + vX_[1684] * vX_[686] + vX_[1695] * vX_[582] + vX_[1706] * vX_[552] + vX_[1708] * vX_[586] + vX_[1682] * vX_[599];
+ vX_[1708] = vX_[1590] + vX_[1682];
+ vX_[1704] = vX_[1584] * vX_[995] + vX_[1678] * vX_[686] + vX_[1689] * vX_[582] + vX_[1700] * vX_[552] + vX_[1664] * vX_[586] + vX_[1704] * vX_[599];
+ vX_[1664] = vX_[1709] + vX_[1704];
+ vX_[1700] = 0 - vX_[1664];
+ vX_[1689] = vX_[1708] * vX_[449] + vX_[1700] * vX_[447];
+ vX_[1678] = 0 - vX_[1689];
+ vX_[1584] = vX_[1723] + vX_[1678] * vX_[355] + vX_[1713] * vX_[451];
+ vX_[1706] = 0 - vX_[1584];
+ vX_[1695] = vX_[1717] * vX_[449] + vX_[1718] * vX_[435];
+ vX_[1684] = vX_[1720] * vX_[435] + vX_[1721] * vX_[449];
+ vX_[1566] = vX_[1695] * vX_[449] + vX_[1684] * vX_[447];
+ vX_[1664] = 0 - vX_[1664];
+ vX_[1724] = vX_[1708] * vX_[435] + vX_[1664] * vX_[449];
+ vX_[1725] = 0 - vX_[1724];
+ vX_[1726] = vX_[1566] + vX_[1725] * vX_[436] + vX_[1714] * vX_[451];
+ vX_[1727] = vX_[1695] * vX_[435] + vX_[1684] * vX_[449];
+ vX_[1728] = vX_[1727] + vX_[1689] * vX_[436];
+ vX_[1729] = vX_[1719] * vX_[449] + vX_[1722] * vX_[447];
+ vX_[1730] = vX_[1729] + vX_[1724] * vX_[355] + vX_[1711] * vX_[451];
+ vX_[1731] = 0 - vX_[1728] + vX_[1730];
+ vX_[1732] = 0 - vX_[1710];
+ vX_[1733] = 0 - vX_[1712];
+ vX_[1713] = vX_[1711] * vX_[573] + vX_[1713] * vX_[518] + vX_[1714] * vX_[414] + vX_[1687] * vX_[452] + vX_[1716] * vX_[463] + vX_[1706] * vX_[443] + vX_[1726] * vX_[437] + vX_[1731] * vX_[434] + vX_[1710] * vX_[567] + vX_[1732] * vX_[570] + vX_[1733] * vX_[517] + vX_[1714] * vX_[521];
+ vX_[1711] = 0 - vX_[1605];
+ vX_[1734] = vX_[1244] * -1 + vX_[1460] * -0.08;
+ vX_[1735] = vX_[1734] + vX_[1613] * -0.35;
+ vX_[1736] = vX_[1735] * 0.881 + (0 - vX_[1637]) * 0.1104774 + vX_[1640] * 0.0004405;
+ vX_[1737] = vX_[789] * 0.00185880198235362 + vX_[1507] * 0.880992588508842 + vX_[1637] * -8.81e-05;
+ vX_[1738] = vX_[1711] * vX_[706] + vX_[1736] * vX_[635] + vX_[1737] * x_in[26];
+ vX_[787] = 0 - vX_[1475] + vX_[1509] - vX_[787];
+ vX_[1509] = 0 - vX_[1736];
+ vX_[1475] = vX_[789] * 0.414812462825713 + vX_[1507] * 0.00185880198235362 + vX_[1640] * 8.81e-05;
+ vX_[1739] = vX_[787] * vX_[706] + vX_[1509] * vX_[352] - vX_[1475] * x_in[26];
+ vX_[1740] = 0 - vX_[1374];
+ vX_[1741] = vX_[1734] * 3.146 + (0 - vX_[1613]) * 0.47422804 + vX_[1641] * -0.0825825;
+ vX_[1742] = vX_[1438] * vX_[411] + vX_[1548] * vX_[410] + vX_[1613] * vX_[387] + vX_[1641] * vX_[382];
+ vX_[1743] = vX_[1738] * vX_[357] + vX_[1739] * vX_[359] + vX_[1740] * vX_[628] + vX_[1741] * vX_[626] + vX_[1742] * x_in[25];
+ vX_[1636] = 0 - vX_[1638] + vX_[1636];
+ vX_[1638] = 0 - vX_[1741];
+ vX_[1744] = vX_[1438] * vX_[409] + vX_[1548] * vX_[411] + vX_[1613] * vX_[393] + vX_[1641] * vX_[392];
+ vX_[1745] = vX_[1738] * vX_[618] + vX_[1739] * vX_[357] + vX_[1636] * vX_[628] + vX_[1638] * vX_[651] - vX_[1744] * x_in[25];
+ vX_[1746] = vX_[1244] * -3.44;
+ vX_[1747] = vX_[1460] * 0.1466472;
+ vX_[1748] = vX_[1642] * 0.5824264;
+ vX_[1749] = 0 - vX_[1746] + vX_[1747] - vX_[1748];
+ vX_[1750] = 0 - vX_[1653];
+ vX_[1751] = vX_[1547] * vX_[463] + vX_[1244] * vX_[437] + vX_[1567] * vX_[434] + vX_[1536] * vX_[567] + vX_[1642] * vX_[515];
+ vX_[1752] = vX_[1743] * vX_[668] + vX_[1745] * vX_[383] + vX_[1749] * vX_[697] + vX_[1750] * vX_[704] - vX_[1751] * x_in[24];
+ vX_[1753] = vX_[1674] + vX_[1693] + vX_[1692] - vX_[1712] - vX_[1714];
+ vX_[1754] = 0 - vX_[1753];
+ vX_[1686] = vX_[1686] + vX_[1754] * vX_[436];
+ vX_[1676] = vX_[1676] + vX_[1753] * vX_[355];
+ vX_[1755] = 0 - vX_[1716];
+ vX_[1756] = 0 - vX_[1726];
+ vX_[1703] = vX_[1586] * vX_[995] + vX_[1677] * vX_[686] + vX_[1688] * vX_[582] + vX_[1699] * vX_[552] + vX_[1671] * vX_[586] + vX_[1703] * vX_[599];
+ vX_[1671] = vX_[1707] + vX_[1703] + vX_[1718] + vX_[1721] - vX_[1727] - vX_[1729];
+ vX_[1730] = vX_[1671] - vX_[1730];
+ vX_[1699] = 0 - vX_[1689];
+ vX_[1688] = 0 - vX_[1710];
+ vX_[1677] = 0 - vX_[1714];
+ vX_[1586] = vX_[1656] - vX_[1622];
+ vX_[1757] = vX_[1666] - vX_[1622];
+ vX_[1758] = vX_[1659] + vX_[1658];
+ vX_[1759] = vX_[1670] + vX_[1669];
+ vX_[1760] = vX_[1663] + vX_[1668];
+ vX_[1761] = 0 - vX_[1760];
+ vX_[1762] = vX_[1586] * vX_[449] + vX_[1758] * vX_[447];
+ vX_[1763] = vX_[1757] * vX_[449];
+ vX_[1764] = vX_[1586] * vX_[435] + vX_[1758] * vX_[449];
+ vX_[1765] = vX_[1757] * vX_[447];
+ vX_[1766] = vX_[1764] + vX_[1765];
+ vX_[1767] = vX_[1735] * 0.0004405 + vX_[789] * -8.81e-05 + vX_[1640] * -0.000227999999999999;
+ vX_[1768] = vX_[1735] * 0.1104774 + vX_[1507] * -8.81e-05 + (0 - vX_[1637]) * 0.025713;
+ vX_[1769] = (0 - vX_[789]) * 0.0004405;
+ vX_[1770] = (0 - vX_[1507]) * 0.1104774;
+ vX_[1771] = vX_[1769] + vX_[1770];
+ vX_[1771] = vX_[1711] * vX_[606] + vX_[787] * vX_[234] + vX_[1767] * vX_[352] + vX_[1768] * vX_[635] + vX_[1771] * vX_[706] + vX_[1771] * vX_[706];
+ vX_[787] = vX_[1734] * -0.0825825 + (0 - vX_[1559]) * 0.000102 + vX_[1613] * 0.007418 + vX_[1641] * 0.002735;
+ vX_[1711] = vX_[1734] * 0.47422804 + vX_[1559] * 2.1e-05 + (0 - vX_[1613]) * 0.084376 + (0 - vX_[1641]) * 0.007418;
+ vX_[1772] = (0 - vX_[1438]) * -0.0825825;
+ vX_[1773] = (0 - vX_[1548]) * 0.47422804;
+ vX_[1774] = vX_[1613] * 0.000102;
+ vX_[1775] = (0 - vX_[1641]) * 2.1e-05;
+ vX_[1776] = vX_[1772] + vX_[1773] + vX_[1774] + vX_[1775];
+ vX_[1776] = vX_[1771] + vX_[1738] * vX_[612] + vX_[1739] * vX_[362] + vX_[1740] * vX_[653] + vX_[1636] * vX_[649] + vX_[787] * vX_[651] + vX_[1711] * vX_[626] + vX_[1776] * vX_[628] + vX_[1776] * vX_[628];
+ vX_[1636] = vX_[1244] * 0.5824264 + (0 - vX_[1460]) * -0.022734 + vX_[1536] * -3.6e-05 + vX_[1642] * -0.133138;
+ vX_[1740] = vX_[1244] * 0.1466472 + vX_[1460] * 0.009466 + (0 - vX_[1536]) * -5.1e-05 + vX_[1642] * -0.022734;
+ vX_[1777] = (0 - vX_[1547]) * 0.5824264;
+ vX_[1778] = (0 - vX_[1567]) * 0.1466472;
+ vX_[1779] = (0 - vX_[1460]) * -3.6e-05;
+ vX_[1780] = (0 - vX_[1642]) * -5.1e-05;
+ vX_[1781] = vX_[1777] + vX_[1778] + vX_[1779] - vX_[1780];
+ vX_[1782] = vX_[1547] * vX_[468] + vX_[1244] * vX_[515] + vX_[1567] * vX_[570] + vX_[1536] * vX_[569] + vX_[1642] * vX_[431];
+ vX_[1781] = vX_[1743] * vX_[662] + vX_[1745] * vX_[401] + vX_[1776] * -1 + vX_[1376] * vX_[702] + vX_[1750] * vX_[690] + vX_[1636] * vX_[697] + vX_[1740] * vX_[664] + vX_[1781] * vX_[704] + vX_[1781] * vX_[704] + vX_[1782] * x_in[24];
+ vX_[1343] = vX_[789] * 0.1104774 + vX_[1507] * 0.0004405 + vX_[1343] * 0.025941;
+ vX_[1750] = (0 - vX_[1735]) * -8.81e-05;
+ vX_[1770] = vX_[1750] + vX_[1770];
+ vX_[1640] = vX_[1735] * 0.0004405 + vX_[789] * 8.81e-05 + vX_[1640] * 0.000468;
+ vX_[1770] = vX_[1605] * vX_[731] + vX_[1509] * vX_[234] + vX_[1767] * vX_[706] + vX_[1343] * vX_[635] + vX_[1770] * vX_[352] + vX_[1770] * vX_[352] + vX_[1640] * x_in[26];
+ vX_[1750] = vX_[1750] + vX_[1769];
+ vX_[1735] = vX_[1735] * -0.1104774 + vX_[1507] * -8.81e-05 + vX_[1637] * 0.026409;
+ jac[959] = vX_[1475] * vX_[737] + vX_[1737] * vX_[606] + vX_[1735] * vX_[709] + vX_[1640] * vX_[352] + vX_[1771];
+ vX_[1735] = vX_[1606] * vX_[731] + vX_[1736] * vX_[606] + vX_[1768] * vX_[706] + vX_[1343] * vX_[352] + vX_[1750] * vX_[635] + vX_[1750] * vX_[635] - vX_[1735] * x_in[26];
+ vX_[1750] = vX_[1438] * 0.47422804 + vX_[1548] * -0.0825825 + vX_[1559] * 0.081641 + (0 - vX_[1613]) * 2.1e-05 + vX_[1641] * 0.000102;
+ vX_[1343] = (0 - vX_[1559]) * 0.007418;
+ vX_[1775] = vX_[1773] + vX_[1343] - vX_[1775];
+ vX_[1773] = vX_[1734] * vX_[377] + vX_[1438] * vX_[392] + vX_[1548] * vX_[382] + vX_[1613] * vX_[426] + vX_[1641] * vX_[422];
+ vX_[1775] = vX_[1506] * -0.35 + vX_[1770] * vX_[357] + vX_[1735] * vX_[359] + vX_[1374] * vX_[730] + vX_[1638] * vX_[649] + vX_[787] * vX_[628] + vX_[1750] * vX_[626] + vX_[1775] * vX_[651] + vX_[1775] * vX_[651] + vX_[1773] * x_in[25];
+ vX_[1343] = vX_[1772] - vX_[1343] - vX_[1774];
+ vX_[1774] = vX_[1734] * vX_[389] + vX_[1438] * vX_[393] + vX_[1548] * vX_[387] + vX_[1613] * vX_[420] + vX_[1641] * vX_[426];
+ jac[923] = vX_[1744] * vX_[739] + vX_[1742] * vX_[653] + vX_[1774] * vX_[715] + vX_[1773] * vX_[651] + vX_[1776];
+ vX_[1774] = vX_[1770] * vX_[360] + vX_[1735] * vX_[357] + vX_[1110] * vX_[730] + vX_[1741] * vX_[653] + vX_[1711] * vX_[628] + vX_[1750] * vX_[651] + vX_[1343] * vX_[626] + vX_[1343] * vX_[626] - vX_[1774] * x_in[25];
+ vX_[1748] = vX_[1746] - vX_[1747] + vX_[1748];
+ vX_[1747] = vX_[1547] * 0.1466472 + vX_[1567] * 0.5824264 + vX_[1460] * -5.1e-05 + (0 - vX_[1536]) * -0.123672 + (0 - vX_[1642]) * -3.6e-05;
+ vX_[1746] = vX_[1536] * -0.022734;
+ vX_[1779] = vX_[1777] - vX_[1779] - vX_[1746];
+ vX_[1777] = vX_[1547] * vX_[405] + vX_[1244] * vX_[567] + vX_[1567] * vX_[516] + vX_[1536] * vX_[514] + vX_[1642] * vX_[569];
+ vX_[1779] = vX_[1775] * vX_[395] + vX_[1774] * vX_[383] + vX_[1748] * vX_[702] + vX_[1653] * vX_[725] + vX_[1747] * vX_[697] + vX_[1740] * vX_[704] + vX_[1779] * vX_[664] + vX_[1779] * vX_[664] - vX_[1777] * x_in[24];
+ vX_[1740] = 0 - vX_[1686];
+ vX_[1653] = 0 - vX_[1676];
+ vX_[1671] = 0 - vX_[1671] + vX_[1728];
+ vX_[1728] = 0 - vX_[1724];
+ vX_[1760] = 0 - vX_[1760];
+ jac[239] = 0 - (0 - (vX_[1455] * vX_[718] + vX_[1655] * x_in[22]) + (vX_[1564] * vX_[718] + vX_[1713] * vX_[449] + vX_[1655] * x_in[20]) * -0.3735 - (vX_[1627] * vX_[949] + vX_[1752] * x_in[23]) + (vX_[1589] * vX_[949] + vX_[1752] * x_in[19]) * 0.3735 + (vX_[1495] * vX_[949] + (vX_[1678] * vX_[518] + vX_[1724] * vX_[573] + vX_[1753] * vX_[462] + vX_[1715] * vX_[464] + vX_[1686] * vX_[434] + vX_[1676] * vX_[443] + vX_[1755] * vX_[446] + vX_[1756] * vX_[463] + vX_[1730] * vX_[452] + vX_[1699] * vX_[516] + vX_[1724] * vX_[570] + vX_[1688] * vX_[405] + vX_[1677] * vX_[523]) * -1 + vX_[1752] * x_in[18]) * -0.207 - (vX_[1564] * vX_[688] + vX_[1589] * vX_[747] + vX_[1586] * vX_[681] + vX_[1757] * vX_[679] + vX_[1758] * vX_[677] + vX_[1759] * vX_[654] + vX_[1761] * vX_[452] + vX_[1762] * vX_[658] + vX_[1763] * vX_[657] + vX_[1766] * vX_[434] + vX_[1717] * vX_[643] + vX_[1720] * vX_[623] + vX_[1626] * vX_[470] + vX_[1667] * vX_[460] + vX_[1718] * vX_[642] + vX_[1721] * vX_[620] + vX_[1695] * vX_[619] + vX_[1719] * vX_[621] + vX_[1684] * vX_[572] + vX_[1722] * vX_[622] + vX_[1698] * vX_[459] + vX_[1697] * vX_[469] + vX_[1681] * vX_[579] + vX_[1680] * vX_[577] + vX_[1591] * vX_[575] + vX_[1708] * vX_[596] + vX_[1664] * vX_[597] + vX_[1691] * vX_[524] + vX_[1577] * vX_[520] + vX_[1569] * vX_[574] + vX_[1713] * vX_[450] + vX_[1781] * x_in[19] + vX_[1779] * x_in[20])) * vX_[1083] + (vX_[1627] * vX_[718] + vX_[1564] * vX_[747] + vX_[1586] * vX_[677] + vX_[1759] * vX_[452] + vX_[1764] * vX_[657] + vX_[1762] * vX_[434] + vX_[1720] * vX_[620] + vX_[1626] * vX_[460] + vX_[1718] * vX_[643] + vX_[1695] * vX_[572] + vX_[1719] * vX_[622] + vX_[1698] * vX_[469] + vX_[1681] * vX_[575] + vX_[1708] * vX_[597] + vX_[1690] * vX_[520] + vX_[1691] * vX_[574] + (vX_[1689] * vX_[571] + vX_[1725] * vX_[414] + vX_[1710] * vX_[464] + vX_[1754] * vX_[438] + vX_[1712] * vX_[453] + vX_[1740] * vX_[437] + vX_[1588] * vX_[446] + vX_[1653] * vX_[434] + vX_[1584] * vX_[452] + vX_[1671] * vX_[463] + vX_[1689] * vX_[567] + vX_[1728] * vX_[515] + vX_[1710] * vX_[468] + vX_[1712] * vX_[512]) * 0.207 + vX_[1655] * x_in[23] + vX_[1781] * x_in[20] + (vX_[1589] * vX_[718] + vX_[1713] * vX_[447] + vX_[1655] * x_in[19]) * -0.3735 + (vX_[1495] * vX_[718] + vX_[1655] * x_in[18]) * 0.207 - (vX_[1455] * vX_[949] + vX_[1752] * x_in[22]) + (vX_[1564] * vX_[949] + vX_[1752] * x_in[20]) * -0.3735 - (vX_[1589] * vX_[688] + vX_[1757] * vX_[678] + vX_[1758] * vX_[681] + vX_[1760] * vX_[654] + vX_[1763] * vX_[434] + vX_[1765] * vX_[658] + vX_[1717] * vX_[642] + vX_[1667] * vX_[470] + vX_[1721] * vX_[623] + vX_[1684] * vX_[619] + vX_[1722] * vX_[621] + vX_[1697] * vX_[459] + vX_[1680] * vX_[576] + vX_[1591] * vX_[579] + vX_[1700] * vX_[596] + vX_[1577] * vX_[574] + vX_[1679] * vX_[524] + vX_[1713] * vX_[448] + vX_[1779] * x_in[19])) * vX_[1093];
+ vX_[1758] = 1 / vX_[432];
+ vX_[1757] = 0 - vX_[1758];
+ vX_[1586] = vX_[1757] * vX_[406];
+ vX_[1754] = 0 - vX_[728];
+ vX_[1753] = 0 - vX_[1758];
+ vX_[1713] = vX_[1753] * vX_[396];
+ vX_[1725] = 0 - vX_[1758];
+ vX_[1664] = vX_[1586] * vX_[724] + vX_[1713] * vX_[354] + vX_[1725] * vX_[432] * -1;
+ vX_[1684] = 0 - vX_[1758];
+ vX_[1695] = vX_[1684] * vX_[458];
+ vX_[1678] = 0 - vX_[1758];
+ vX_[1700] = vX_[1678] * vX_[467];
+ vX_[1708] = 0 - (vX_[1586] * vX_[448] + vX_[1713] * vX_[591] + vX_[1695] * vX_[449] + vX_[1700] * vX_[447]) + vX_[1664] * vX_[599];
+ vX_[1722] = 0 - vX_[1708];
+ vX_[1721] = 0 - vX_[1758];
+ vX_[1720] = vX_[1721] * vX_[444];
+ vX_[1719] = 0 - vX_[1708];
+ vX_[1718] = 0 - (vX_[1720] * 0.207 + vX_[1586] * vX_[450] + vX_[1713] * vX_[696] + vX_[1695] * vX_[435] + vX_[1700] * vX_[449]) + vX_[1664] * vX_[586] + vX_[1719] * vX_[630];
+ vX_[1717] = 0 - vX_[1718];
+ vX_[1715] = 0 - vX_[1708];
+ vX_[1697] = 0 - vX_[1718];
+ vX_[1720] = 0 - vX_[1720] * -1 + vX_[1664] * vX_[552] + vX_[1715] * vX_[519] + vX_[1697] * vX_[645];
+ vX_[1626] = 0 - vX_[1720];
+ vX_[1698] = 0 - (vX_[1586] * vX_[353] + vX_[1713] * vX_[587]) + vX_[1664] * vX_[582] + vX_[1722] * vX_[564] + vX_[1717] * vX_[566] + vX_[1626] * vX_[684];
+ vX_[1667] = 0 - vX_[1708];
+ vX_[1569] = 0 - vX_[1718];
+ vX_[1679] = 0 - vX_[1720];
+ vX_[1690] = 0 - vX_[1698];
+ vX_[1577] = (0 - (vX_[1586] * vX_[435] + vX_[1713] * vX_[583]) + vX_[1664] * vX_[686] + vX_[1667] * vX_[692] + vX_[1569] * vX_[694] + vX_[1679] * vX_[700] + vX_[1690] * vX_[674]) * 1 / vX_[682];
+ vX_[1680] = 0 - vX_[1577];
+ vX_[1698] = (vX_[1698] + vX_[1680] * vX_[705]) * 1 / vX_[680];
+ vX_[1691] = 0 - vX_[1577];
+ vX_[1591] = 0 - vX_[1698];
+ vX_[1720] = (vX_[1720] + vX_[1691] * vX_[699] + vX_[1591] * vX_[655]) * 1 / vX_[683];
+ vX_[1681] = 0 - vX_[1577];
+ vX_[1343] = 0 - vX_[1698];
+ vX_[1750] = 0 - vX_[1720];
+ vX_[1718] = (vX_[1718] + vX_[1681] * vX_[595] + vX_[1343] * vX_[644] + vX_[1750] * vX_[550]) * 1 / vX_[580];
+ vX_[1711] = vX_[1720] * -1 + vX_[1718] * 0.207;
+ vX_[1741] = 0 - vX_[1577];
+ vX_[1110] = 0 - vX_[1698];
+ vX_[1773] = 0 - vX_[1720];
+ vX_[1776] = 0 - vX_[1718];
+ vX_[1708] = (vX_[1708] + vX_[1741] * vX_[691] + vX_[1110] * vX_[624] + vX_[1773] * vX_[471] + vX_[1776] * vX_[629]) * 1 / vX_[578];
+ vX_[1744] = 0 - vX_[1577];
+ vX_[1742] = 0 - vX_[1698];
+ vX_[1772] = 0 - vX_[1720];
+ vX_[787] = 0 - vX_[1718];
+ vX_[1638] = 0 - vX_[1708];
+ vX_[1374] = (0 - vX_[1664] + vX_[1744] * vX_[536] + vX_[1742] * vX_[472] + vX_[1772] * vX_[656] + vX_[787] * vX_[590] + vX_[1638] * vX_[598]) * 1 / vX_[581];
+ vX_[1506] = vX_[1577] * vX_[583] + vX_[1698] * vX_[587] + vX_[1718] * vX_[696] + vX_[1708] * vX_[591] + vX_[1374] * vX_[354];
+ vX_[1768] = vX_[1718] * vX_[435] + vX_[1708] * vX_[449];
+ vX_[1736] = vX_[1711] * vX_[383] + vX_[1506] * vX_[668] + vX_[1768] * vX_[662];
+ vX_[1606] = vX_[1711] * vX_[356] + vX_[1506] * vX_[383] + vX_[1768] * vX_[401];
+ vX_[1640] = vX_[1768] * -1;
+ vX_[1771] = vX_[1736] * 1 / vX_[380];
+ vX_[1475] = vX_[1606] * 1 / vX_[380];
+ vX_[1737] = vX_[1640] * 1 / vX_[380];
+ vX_[1637] = vX_[1374] * -1;
+ vX_[1507] = vX_[1711] * 1 / vX_[432];
+ vX_[1769] = vX_[1577] * vX_[435] + vX_[1698] * vX_[353] + vX_[1718] * vX_[450] + vX_[1708] * vX_[448] + vX_[1374] * vX_[724];
+ vX_[1767] = vX_[1769] * 1 / vX_[432];
+ vX_[1509] = vX_[1506] * 1 / vX_[432];
+ vX_[1605] = vX_[1637] * 1 / vX_[432];
+ vX_[789] = vX_[1768] * 1 / vX_[432];
+ vX_[1783] = vX_[1718] * vX_[449] + vX_[1708] * vX_[447];
+ vX_[1784] = vX_[1783] * 1 / vX_[432];
+ vX_[1637] = vX_[1637] - (vX_[1758] + vX_[1507] * vX_[444] + vX_[1767] * vX_[406] + vX_[1509] * vX_[396] + vX_[1605] * vX_[432] + vX_[789] * vX_[458] + vX_[1784] * vX_[467]);
+ vX_[1785] = vX_[1637] * vX_[383] + vX_[1783] * vX_[395];
+ vX_[1786] = vX_[1785] * 1 / vX_[380];
+ vX_[1787] = vX_[1637] * vX_[356] + vX_[1783] * vX_[383];
+ vX_[1788] = vX_[1787] * 1 / vX_[380];
+ vX_[1640] = vX_[1640] - (vX_[1771] * vX_[390] + vX_[1475] * vX_[378] + vX_[1737] * vX_[380] + vX_[1786] * vX_[386] + vX_[1788] * vX_[368]);
+ vX_[1789] = vX_[1736] * vX_[359] + vX_[1606] * vX_[357] + vX_[1640] * vX_[362];
+ vX_[1790] = vX_[1736] * vX_[357] + vX_[1606] * vX_[618] + vX_[1640] * vX_[612];
+ vX_[1791] = vX_[1640] - (vX_[1790] * 38.1956380581338 * 0.1104774 + vX_[1789] * 38.1956380581338 * -0.0004405 + vX_[1640] * 38.1956380581338 * 0.026181);
+ vX_[1792] = vX_[1785] * vX_[357] + vX_[1787] * vX_[360];
+ vX_[1793] = vX_[1789] * 0.881 + (0 - vX_[1791]) * 0.0004405 + vX_[1792] * -8.81e-05;
+ vX_[1794] = vX_[1790] * -0.881;
+ vX_[1795] = vX_[1791] * 0.1104774;
+ vX_[1796] = vX_[1785] * vX_[359] + vX_[1787] * vX_[357];
+ vX_[1797] = vX_[1796] * -8.81e-05;
+ vX_[1798] = vX_[1794] - vX_[1795] + vX_[1797];
+ vX_[1799] = vX_[1793] * vX_[352] + vX_[1798] * vX_[635];
+ vX_[1800] = vX_[1606] * 3.146 + (0 - vX_[1640]) * -0.0825825;
+ vX_[1801] = vX_[1736] * -3.146;
+ vX_[1802] = vX_[1640] * 0.47422804;
+ vX_[1803] = vX_[1801] - vX_[1802];
+ vX_[1804] = vX_[1799] + vX_[1800] * vX_[651] + vX_[1803] * vX_[626];
+ vX_[1805] = vX_[1506] * 3.44 + vX_[1768] * 0.5824264;
+ vX_[1806] = 0 - vX_[1805];
+ vX_[1807] = vX_[1711] * 3.44 + (0 - vX_[1768]) * 0.1466472;
+ vX_[1808] = vX_[1713] + vX_[1711] * vX_[452] + vX_[1769] * vX_[434] + vX_[1506] * vX_[443] + vX_[1768] * vX_[516] + vX_[1783] * vX_[570];
+ vX_[1809] = vX_[1804] * -1 + vX_[1806] * vX_[697] + vX_[1807] * vX_[664] + vX_[1808] * x_in[24];
+ vX_[1810] = 0 - vX_[1050];
+ vX_[1811] = 0 - vX_[1577] * vX_[1014];
+ vX_[1812] = 0 - vX_[1811];
+ vX_[1813] = 0 - vX_[1811];
+ vX_[1690] = (vX_[1690] * vX_[1014] + vX_[1813] * vX_[705]) * 1 / vX_[680];
+ vX_[1814] = 0 - vX_[1690];
+ vX_[1815] = 0 - vX_[1811];
+ vX_[1816] = 0 - vX_[1690];
+ vX_[1679] = (vX_[1679] * vX_[1014] + vX_[1815] * vX_[699] + vX_[1816] * vX_[655]) * 1 / vX_[683];
+ vX_[1817] = 0 - vX_[1679];
+ vX_[1569] = (vX_[1569] * vX_[1014] + vX_[1812] * vX_[595] + vX_[1814] * vX_[644] + vX_[1817] * vX_[550]) * 1 / vX_[580];
+ vX_[1813] = vX_[1680] * vX_[703] + vX_[1813] * vX_[674];
+ vX_[1680] = 0 - vX_[1813];
+ vX_[1818] = 0 - vX_[1698] * vX_[703] - vX_[1690] * vX_[674];
+ vX_[1819] = 0 - vX_[1818];
+ vX_[1820] = 0 - vX_[1813];
+ vX_[1821] = 0 - vX_[1818];
+ vX_[1626] = (vX_[1626] * vX_[728] + vX_[1820] * vX_[699] + vX_[1821] * vX_[655]) * 1 / vX_[683];
+ vX_[1822] = 0 - vX_[1626];
+ vX_[1717] = (vX_[1717] * vX_[728] + vX_[1680] * vX_[595] + vX_[1819] * vX_[644] + vX_[1822] * vX_[550]) * 1 / vX_[580];
+ vX_[1820] = vX_[1691] * vX_[1016] + vX_[1815] * vX_[700] + vX_[1820] * vX_[684];
+ vX_[1815] = 0 - vX_[1820];
+ vX_[1821] = vX_[1591] * vX_[1016] + vX_[1816] * vX_[700] + vX_[1821] * vX_[684];
+ vX_[1816] = 0 - vX_[1821];
+ vX_[1591] = 0 - vX_[1720] * vX_[1016] - vX_[1679] * vX_[700] - vX_[1626] * vX_[684];
+ vX_[1691] = 0 - vX_[1591];
+ vX_[1697] = (vX_[1697] * vX_[1018] + vX_[1815] * vX_[595] + vX_[1816] * vX_[644] + vX_[1691] * vX_[550]) * 1 / vX_[580];
+ vX_[1823] = 0 - vX_[1718] * vX_[861] - vX_[1569] * vX_[694] - vX_[1717] * vX_[566] - vX_[1697] * vX_[645];
+ vX_[1824] = 0 - vX_[1811];
+ vX_[1825] = 0 - vX_[1690];
+ vX_[1826] = 0 - vX_[1679];
+ vX_[1827] = 0 - vX_[1569];
+ vX_[1828] = 0 - vX_[1811];
+ vX_[1829] = 0 - vX_[1690];
+ vX_[1830] = 0 - vX_[1679];
+ vX_[1831] = 0 - vX_[1569];
+ vX_[1667] = (vX_[1667] * vX_[1014] + vX_[1828] * vX_[691] + vX_[1829] * vX_[624] + vX_[1830] * vX_[471] + vX_[1831] * vX_[629]) * 1 / vX_[578];
+ vX_[1832] = 0 - vX_[1667];
+ vX_[1833] = (vX_[1664] * vX_[1014] + vX_[1824] * vX_[536] + vX_[1825] * vX_[472] + vX_[1826] * vX_[656] + vX_[1827] * vX_[590] + vX_[1832] * vX_[598]) * 1 / vX_[581];
+ vX_[1834] = 0 - vX_[1813];
+ vX_[1835] = 0 - vX_[1818];
+ vX_[1836] = 0 - vX_[1626];
+ vX_[1837] = 0 - vX_[1717];
+ vX_[1838] = 0 - vX_[1813];
+ vX_[1839] = 0 - vX_[1818];
+ vX_[1840] = 0 - vX_[1626];
+ vX_[1841] = 0 - vX_[1717];
+ vX_[1722] = (vX_[1722] * vX_[728] + vX_[1838] * vX_[691] + vX_[1839] * vX_[624] + vX_[1840] * vX_[471] + vX_[1841] * vX_[629]) * 1 / vX_[578];
+ vX_[1842] = 0 - vX_[1722];
+ vX_[1843] = (vX_[1664] * vX_[728] + vX_[1834] * vX_[536] + vX_[1835] * vX_[472] + vX_[1836] * vX_[656] + vX_[1837] * vX_[590] + vX_[1842] * vX_[598]) * 1 / vX_[581];
+ vX_[1844] = 0 - vX_[1820];
+ vX_[1845] = 0 - vX_[1821];
+ vX_[1846] = 0 - vX_[1591];
+ vX_[1847] = 0 - vX_[1697];
+ vX_[1848] = 0 - vX_[1820];
+ vX_[1849] = 0 - vX_[1821];
+ vX_[1850] = 0 - vX_[1591];
+ vX_[1851] = 0 - vX_[1697];
+ vX_[1715] = (vX_[1715] * vX_[1018] + vX_[1848] * vX_[691] + vX_[1849] * vX_[624] + vX_[1850] * vX_[471] + vX_[1851] * vX_[629]) * 1 / vX_[578];
+ vX_[1852] = 0 - vX_[1715];
+ vX_[1853] = (vX_[1664] * vX_[1018] + vX_[1844] * vX_[536] + vX_[1845] * vX_[472] + vX_[1846] * vX_[656] + vX_[1847] * vX_[590] + vX_[1852] * vX_[598]) * 1 / vX_[581];
+ vX_[1815] = vX_[1681] * vX_[861] + vX_[1812] * vX_[694] + vX_[1680] * vX_[566] + vX_[1815] * vX_[645];
+ vX_[1680] = 0 - vX_[1815];
+ vX_[1816] = vX_[1343] * vX_[861] + vX_[1814] * vX_[694] + vX_[1819] * vX_[566] + vX_[1816] * vX_[645];
+ vX_[1819] = 0 - vX_[1816];
+ vX_[1691] = vX_[1750] * vX_[861] + vX_[1817] * vX_[694] + vX_[1822] * vX_[566] + vX_[1691] * vX_[645];
+ vX_[1822] = 0 - vX_[1691];
+ vX_[1817] = 0 - vX_[1823];
+ vX_[1750] = 0 - vX_[1815];
+ vX_[1814] = 0 - vX_[1816];
+ vX_[1343] = 0 - vX_[1691];
+ vX_[1812] = 0 - vX_[1823];
+ vX_[1719] = (vX_[1719] * vX_[1050] + vX_[1750] * vX_[691] + vX_[1814] * vX_[624] + vX_[1343] * vX_[471] + vX_[1812] * vX_[629]) * 1 / vX_[578];
+ vX_[1681] = 0 - vX_[1719];
+ vX_[1854] = (vX_[1664] * vX_[1050] + vX_[1680] * vX_[536] + vX_[1819] * vX_[472] + vX_[1822] * vX_[656] + vX_[1817] * vX_[590] + vX_[1681] * vX_[598]) * 1 / vX_[581];
+ vX_[1750] = vX_[1741] * vX_[922] + vX_[1828] * vX_[692] + vX_[1838] * vX_[564] + vX_[1848] * vX_[519] + vX_[1750] * vX_[630];
+ vX_[1848] = 0 - vX_[1750];
+ vX_[1814] = vX_[1110] * vX_[922] + vX_[1829] * vX_[692] + vX_[1839] * vX_[564] + vX_[1849] * vX_[519] + vX_[1814] * vX_[630];
+ vX_[1849] = 0 - vX_[1814];
+ vX_[1343] = vX_[1773] * vX_[922] + vX_[1830] * vX_[692] + vX_[1840] * vX_[564] + vX_[1850] * vX_[519] + vX_[1343] * vX_[630];
+ vX_[1850] = 0 - vX_[1343];
+ vX_[1812] = vX_[1776] * vX_[922] + vX_[1831] * vX_[692] + vX_[1841] * vX_[564] + vX_[1851] * vX_[519] + vX_[1812] * vX_[630];
+ vX_[1851] = 0 - vX_[1812];
+ vX_[1841] = 0 - vX_[1708] * vX_[922] - vX_[1667] * vX_[692] - vX_[1722] * vX_[564] - vX_[1715] * vX_[519] - vX_[1719] * vX_[630];
+ vX_[1831] = 0 - vX_[1841];
+ vX_[1664] = (vX_[1664] * vX_[1052] + vX_[1848] * vX_[536] + vX_[1849] * vX_[472] + vX_[1850] * vX_[656] + vX_[1851] * vX_[590] + vX_[1831] * vX_[598]) * 1 / vX_[581];
+ vX_[1776] = 0 - vX_[1374] * vX_[995] - vX_[1833] * vX_[686] - vX_[1843] * vX_[582] - vX_[1853] * vX_[552] - vX_[1854] * vX_[586] - vX_[1664] * vX_[599];
+ vX_[1840] = vX_[1823] - vX_[1776];
+ vX_[1830] = vX_[1719] + vX_[1812];
+ vX_[1773] = vX_[1840] * vX_[449] + vX_[1830] * vX_[447];
+ vX_[1839] = vX_[1841] - vX_[1776];
+ vX_[1829] = vX_[1839] * vX_[449];
+ vX_[1110] = vX_[1840] * vX_[435] + vX_[1830] * vX_[449];
+ vX_[1838] = vX_[1839] * vX_[447];
+ vX_[1828] = vX_[1110] + vX_[1838];
+ vX_[1741] = vX_[1773] * vX_[435] + vX_[1829] * vX_[447] + vX_[1828] * vX_[449];
+ vX_[1855] = 0 - vX_[1741];
+ vX_[1856] = vX_[1776] + vX_[1110] * vX_[435] + vX_[1829] * vX_[449];
+ vX_[1857] = 0 - vX_[1856];
+ vX_[1858] = vX_[1776] + vX_[1773] * vX_[449] + vX_[1838] * vX_[447];
+ vX_[1849] = vX_[1742] * vX_[995] + vX_[1825] * vX_[686] + vX_[1835] * vX_[582] + vX_[1845] * vX_[552] + vX_[1819] * vX_[586] + vX_[1849] * vX_[599];
+ vX_[1819] = vX_[1843] + vX_[1849];
+ vX_[1845] = vX_[1715] + vX_[1343] - vX_[1819];
+ vX_[1848] = vX_[1744] * vX_[995] + vX_[1824] * vX_[686] + vX_[1834] * vX_[582] + vX_[1844] * vX_[552] + vX_[1680] * vX_[586] + vX_[1848] * vX_[599];
+ vX_[1680] = vX_[1833] + vX_[1848];
+ vX_[1844] = 0 - (vX_[1697] + vX_[1691]) + vX_[1680];
+ vX_[1834] = (vX_[1680] * vX_[435] + vX_[1819] * vX_[449]) * -1;
+ vX_[1824] = 0 - (vX_[1845] * vX_[449] + vX_[1844] * vX_[447]) + vX_[1834];
+ vX_[1744] = vX_[1824] + vX_[1856] * vX_[436];
+ vX_[1835] = 0 - vX_[1744];
+ vX_[1825] = (vX_[1680] * vX_[449] + vX_[1819] * vX_[447]) * -1;
+ vX_[1742] = vX_[1845] * vX_[435] + vX_[1844] * vX_[449] + vX_[1825];
+ vX_[1859] = 0 - vX_[1858];
+ vX_[1860] = vX_[1742] + vX_[1741] * vX_[436] + vX_[1859] * vX_[355];
+ vX_[1861] = vX_[1717] + vX_[1816];
+ vX_[1862] = vX_[1569] + vX_[1815];
+ vX_[1863] = vX_[1861] * vX_[447] + vX_[1862] * vX_[449];
+ vX_[1864] = vX_[1667] + vX_[1750];
+ vX_[1865] = vX_[1722] + vX_[1814];
+ vX_[1866] = vX_[1864] * vX_[449] + vX_[1865] * vX_[447];
+ vX_[1867] = vX_[1863] * vX_[435] + vX_[1866] * vX_[449];
+ vX_[1831] = vX_[1638] * vX_[995] + vX_[1832] * vX_[686] + vX_[1842] * vX_[582] + vX_[1852] * vX_[552] + vX_[1681] * vX_[586] + vX_[1831] * vX_[599];
+ vX_[1681] = vX_[1664] + vX_[1831];
+ vX_[1851] = vX_[787] * vX_[995] + vX_[1827] * vX_[686] + vX_[1837] * vX_[582] + vX_[1847] * vX_[552] + vX_[1817] * vX_[586] + vX_[1851] * vX_[599];
+ vX_[1817] = vX_[1854] + vX_[1851];
+ vX_[1847] = 0 - vX_[1817];
+ vX_[1837] = vX_[1681] * vX_[449] + vX_[1847] * vX_[447];
+ vX_[1827] = 0 - vX_[1837];
+ vX_[787] = vX_[1867] + vX_[1827] * vX_[355] + vX_[1857] * vX_[451];
+ vX_[1852] = 0 - vX_[787];
+ vX_[1842] = vX_[1861] * vX_[449] + vX_[1862] * vX_[435];
+ vX_[1832] = vX_[1864] * vX_[435] + vX_[1865] * vX_[449];
+ vX_[1638] = vX_[1842] * vX_[449] + vX_[1832] * vX_[447];
+ vX_[1817] = 0 - vX_[1817];
+ vX_[1868] = vX_[1681] * vX_[435] + vX_[1817] * vX_[449];
+ vX_[1869] = 0 - vX_[1868];
+ vX_[1870] = vX_[1638] + vX_[1869] * vX_[436] + vX_[1858] * vX_[451];
+ vX_[1871] = vX_[1842] * vX_[435] + vX_[1832] * vX_[449];
+ vX_[1872] = vX_[1871] + vX_[1837] * vX_[436];
+ vX_[1873] = vX_[1863] * vX_[449] + vX_[1866] * vX_[447];
+ vX_[1874] = vX_[1873] + vX_[1868] * vX_[355] + vX_[1855] * vX_[451];
+ vX_[1875] = 0 - vX_[1872] + vX_[1874];
+ vX_[1876] = 0 - vX_[1741];
+ vX_[1877] = 0 - vX_[1856];
+ vX_[1857] = vX_[1855] * vX_[573] + vX_[1857] * vX_[518] + vX_[1858] * vX_[414] + vX_[1835] * vX_[452] + vX_[1860] * vX_[463] + vX_[1852] * vX_[443] + vX_[1870] * vX_[437] + vX_[1875] * vX_[434] + vX_[1741] * vX_[567] + vX_[1876] * vX_[570] + vX_[1877] * vX_[517] + vX_[1858] * vX_[521];
+ vX_[1855] = 0 - vX_[1014];
+ vX_[1878] = 0 - vX_[1793];
+ vX_[1879] = vX_[1769] * -1 + vX_[1637] * -0.08;
+ vX_[1880] = vX_[1879] + vX_[1785] * -0.35;
+ vX_[1881] = vX_[1880] * 0.881 + (0 - vX_[1792]) * 0.1104774 + vX_[1796] * 0.0004405;
+ vX_[1882] = vX_[1790] * 0.00185880198235362 + vX_[1789] * 0.880992588508842 + vX_[1792] * -8.81e-05;
+ vX_[1883] = vX_[1878] * vX_[706] + vX_[1881] * vX_[635] + vX_[1882] * x_in[26];
+ vX_[1797] = 0 - vX_[1794] + vX_[1795] - vX_[1797];
+ vX_[1795] = 0 - vX_[1881];
+ vX_[1794] = vX_[1790] * 0.414812462825713 + vX_[1789] * 0.00185880198235362 + vX_[1796] * 8.81e-05;
+ vX_[1884] = vX_[1797] * vX_[706] + vX_[1795] * vX_[352] - vX_[1794] * x_in[26];
+ vX_[1885] = 0 - vX_[1800];
+ vX_[1886] = vX_[1879] * 3.146 + (0 - vX_[1785]) * 0.47422804 + vX_[1787] * -0.0825825;
+ vX_[1887] = vX_[1736] * vX_[411] + vX_[1606] * vX_[410] + vX_[1785] * vX_[387] + vX_[1787] * vX_[382];
+ vX_[1888] = vX_[1883] * vX_[357] + vX_[1884] * vX_[359] + vX_[1885] * vX_[628] + vX_[1886] * vX_[626] + vX_[1887] * x_in[25];
+ vX_[1802] = 0 - vX_[1801] + vX_[1802];
+ vX_[1801] = 0 - vX_[1886];
+ vX_[1889] = vX_[1736] * vX_[409] + vX_[1606] * vX_[411] + vX_[1785] * vX_[393] + vX_[1787] * vX_[392];
+ vX_[1890] = vX_[1883] * vX_[618] + vX_[1884] * vX_[357] + vX_[1802] * vX_[628] + vX_[1801] * vX_[651] - vX_[1889] * x_in[25];
+ vX_[1891] = vX_[1769] * -3.44;
+ vX_[1892] = vX_[1637] * 0.1466472;
+ vX_[1893] = vX_[1783] * 0.5824264;
+ vX_[1894] = 0 - vX_[1891] + vX_[1892] - vX_[1893];
+ vX_[1895] = 0 - vX_[1807];
+ vX_[1896] = vX_[1586] + vX_[1711] * vX_[463] + vX_[1769] * vX_[437] + vX_[1506] * vX_[434] + vX_[1768] * vX_[567] + vX_[1783] * vX_[515];
+ vX_[1897] = vX_[1888] * vX_[668] + vX_[1890] * vX_[383] + vX_[1894] * vX_[697] + vX_[1895] * vX_[704] - vX_[1896] * x_in[24];
+ vX_[1898] = 0 - vX_[1052];
+ vX_[1899] = vX_[586] * vX_[1050] + vX_[599] * vX_[1052] + vX_[552] * vX_[1018] + vX_[582] * vX_[728] + vX_[686] * vX_[1014] - vX_[995];
+ vX_[1900] = vX_[1823] + vX_[1841] + vX_[1776] - vX_[1856] - vX_[1858];
+ vX_[1901] = 0 - vX_[1900];
+ vX_[1834] = vX_[1834] + vX_[1901] * vX_[436];
+ vX_[1825] = vX_[1825] + vX_[1900] * vX_[355];
+ vX_[1902] = 0 - vX_[1860];
+ vX_[1903] = 0 - vX_[1870];
+ vX_[1850] = vX_[1772] * vX_[995] + vX_[1826] * vX_[686] + vX_[1836] * vX_[582] + vX_[1846] * vX_[552] + vX_[1822] * vX_[586] + vX_[1850] * vX_[599];
+ vX_[1822] = vX_[1853] + vX_[1850] + vX_[1862] + vX_[1865] - vX_[1871] - vX_[1873];
+ vX_[1874] = vX_[1822] - vX_[1874];
+ vX_[1846] = 0 - vX_[1837];
+ vX_[1836] = 0 - vX_[1741];
+ vX_[1826] = 0 - vX_[1858];
+ vX_[1772] = vX_[1811] - vX_[1591];
+ vX_[1904] = vX_[1818] - vX_[1591];
+ vX_[1905] = vX_[1690] + vX_[1813];
+ vX_[1906] = vX_[1626] + vX_[1821];
+ vX_[1907] = vX_[1679] + vX_[1820];
+ vX_[1908] = 0 - vX_[1907];
+ vX_[1909] = vX_[1772] * vX_[449] + vX_[1905] * vX_[447];
+ vX_[1910] = vX_[1904] * vX_[449];
+ vX_[1911] = vX_[1772] * vX_[435] + vX_[1905] * vX_[449];
+ vX_[1912] = vX_[1904] * vX_[447];
+ vX_[1913] = vX_[1911] + vX_[1912];
+ vX_[1914] = vX_[1880] * 0.0004405 + vX_[1790] * -8.81e-05 + vX_[1796] * -0.000227999999999999;
+ vX_[1915] = vX_[1880] * 0.1104774 + vX_[1789] * -8.81e-05 + (0 - vX_[1792]) * 0.025713;
+ vX_[1916] = (0 - vX_[1790]) * 0.0004405;
+ vX_[1917] = (0 - vX_[1789]) * 0.1104774;
+ vX_[1918] = vX_[1916] + vX_[1917];
+ vX_[1918] = vX_[1878] * vX_[606] + vX_[1797] * vX_[234] + vX_[1914] * vX_[352] + vX_[1915] * vX_[635] + vX_[1918] * vX_[706] + vX_[1918] * vX_[706];
+ vX_[1797] = vX_[1879] * -0.0825825 + (0 - vX_[1640]) * 0.000102 + vX_[1785] * 0.007418 + vX_[1787] * 0.002735;
+ vX_[1878] = vX_[1879] * 0.47422804 + vX_[1640] * 2.1e-05 + (0 - vX_[1785]) * 0.084376 + (0 - vX_[1787]) * 0.007418;
+ vX_[1919] = (0 - vX_[1736]) * -0.0825825;
+ vX_[1920] = (0 - vX_[1606]) * 0.47422804;
+ vX_[1921] = vX_[1785] * 0.000102;
+ vX_[1922] = (0 - vX_[1787]) * 2.1e-05;
+ vX_[1923] = vX_[1919] + vX_[1920] + vX_[1921] + vX_[1922];
+ vX_[1923] = vX_[1918] + vX_[1883] * vX_[612] + vX_[1884] * vX_[362] + vX_[1885] * vX_[653] + vX_[1802] * vX_[649] + vX_[1797] * vX_[651] + vX_[1878] * vX_[626] + vX_[1923] * vX_[628] + vX_[1923] * vX_[628];
+ vX_[1802] = vX_[1769] * 0.5824264 + (0 - vX_[1637]) * -0.022734 + vX_[1768] * -3.6e-05 + vX_[1783] * -0.133138;
+ vX_[1885] = vX_[1769] * 0.1466472 + vX_[1637] * 0.009466 + (0 - vX_[1768]) * -5.1e-05 + vX_[1783] * -0.022734;
+ vX_[1924] = (0 - vX_[1711]) * 0.5824264;
+ vX_[1925] = (0 - vX_[1506]) * 0.1466472;
+ vX_[1926] = (0 - vX_[1637]) * -3.6e-05;
+ vX_[1927] = (0 - vX_[1783]) * -5.1e-05;
+ vX_[1928] = vX_[1924] + vX_[1925] + vX_[1926] - vX_[1927];
+ vX_[1929] = vX_[1700] + vX_[1711] * vX_[468] + vX_[1769] * vX_[515] + vX_[1506] * vX_[570] + vX_[1768] * vX_[569] + vX_[1783] * vX_[431];
+ vX_[1928] = vX_[1888] * vX_[662] + vX_[1890] * vX_[401] + vX_[1923] * -1 + vX_[1805] * vX_[702] + vX_[1895] * vX_[690] + vX_[1802] * vX_[697] + vX_[1885] * vX_[664] + vX_[1928] * vX_[704] + vX_[1928] * vX_[704] + vX_[1929] * x_in[24];
+ vX_[1791] = vX_[1790] * 0.1104774 + vX_[1789] * 0.0004405 + vX_[1791] * 0.025941;
+ vX_[1895] = (0 - vX_[1880]) * -8.81e-05;
+ vX_[1917] = vX_[1895] + vX_[1917];
+ vX_[1796] = vX_[1880] * 0.0004405 + vX_[1790] * 8.81e-05 + vX_[1796] * 0.000468;
+ vX_[1917] = vX_[1793] * vX_[731] + vX_[1795] * vX_[234] + vX_[1914] * vX_[706] + vX_[1791] * vX_[635] + vX_[1917] * vX_[352] + vX_[1917] * vX_[352] + vX_[1796] * x_in[26];
+ vX_[1895] = vX_[1895] + vX_[1916];
+ vX_[1880] = vX_[1880] * -0.1104774 + vX_[1789] * -8.81e-05 + vX_[1792] * 0.026409;
+ jac[960] = vX_[1794] * vX_[737] + vX_[1882] * vX_[606] + vX_[1880] * vX_[709] + vX_[1796] * vX_[352] + vX_[1918];
+ vX_[1880] = vX_[1798] * vX_[731] + vX_[1881] * vX_[606] + vX_[1915] * vX_[706] + vX_[1791] * vX_[352] + vX_[1895] * vX_[635] + vX_[1895] * vX_[635] - vX_[1880] * x_in[26];
+ vX_[1895] = vX_[1736] * 0.47422804 + vX_[1606] * -0.0825825 + vX_[1640] * 0.081641 + (0 - vX_[1785]) * 2.1e-05 + vX_[1787] * 0.000102;
+ vX_[1791] = (0 - vX_[1640]) * 0.007418;
+ vX_[1922] = vX_[1920] + vX_[1791] - vX_[1922];
+ vX_[1920] = vX_[1879] * vX_[377] + vX_[1736] * vX_[392] + vX_[1606] * vX_[382] + vX_[1785] * vX_[426] + vX_[1787] * vX_[422];
+ vX_[1922] = vX_[1799] * -0.35 + vX_[1917] * vX_[357] + vX_[1880] * vX_[359] + vX_[1800] * vX_[730] + vX_[1801] * vX_[649] + vX_[1797] * vX_[628] + vX_[1895] * vX_[626] + vX_[1922] * vX_[651] + vX_[1922] * vX_[651] + vX_[1920] * x_in[25];
+ vX_[1791] = vX_[1919] - vX_[1791] - vX_[1921];
+ vX_[1921] = vX_[1879] * vX_[389] + vX_[1736] * vX_[393] + vX_[1606] * vX_[387] + vX_[1785] * vX_[420] + vX_[1787] * vX_[426];
+ jac[924] = vX_[1889] * vX_[739] + vX_[1887] * vX_[653] + vX_[1921] * vX_[715] + vX_[1920] * vX_[651] + vX_[1923];
+ vX_[1921] = vX_[1917] * vX_[360] + vX_[1880] * vX_[357] + vX_[1803] * vX_[730] + vX_[1886] * vX_[653] + vX_[1878] * vX_[628] + vX_[1895] * vX_[651] + vX_[1791] * vX_[626] + vX_[1791] * vX_[626] - vX_[1921] * x_in[25];
+ vX_[1893] = vX_[1891] - vX_[1892] + vX_[1893];
+ vX_[1892] = vX_[1711] * 0.1466472 + vX_[1506] * 0.5824264 + vX_[1637] * -5.1e-05 + (0 - vX_[1768]) * -0.123672 + (0 - vX_[1783]) * -3.6e-05;
+ vX_[1891] = vX_[1768] * -0.022734;
+ vX_[1926] = vX_[1924] - vX_[1926] - vX_[1891];
+ vX_[1924] = vX_[1695] + vX_[1711] * vX_[405] + vX_[1769] * vX_[567] + vX_[1506] * vX_[516] + vX_[1768] * vX_[514] + vX_[1783] * vX_[569];
+ vX_[1926] = vX_[1922] * vX_[395] + vX_[1921] * vX_[383] + vX_[1893] * vX_[702] + vX_[1807] * vX_[725] + vX_[1892] * vX_[697] + vX_[1885] * vX_[704] + vX_[1926] * vX_[664] + vX_[1926] * vX_[664] - vX_[1924] * x_in[24];
+ vX_[1885] = 0 - vX_[1834];
+ vX_[1807] = 0 - vX_[1825];
+ vX_[1822] = 0 - vX_[1822] + vX_[1872];
+ vX_[1872] = 0 - vX_[1868];
+ vX_[1907] = 0 - vX_[1907];
+ jac[240] = 0 - (0 - (vX_[1586] * vX_[1754] + vX_[1698] * vX_[718] + vX_[1809] * x_in[22]) + (vX_[1586] * vX_[1810] + vX_[1718] * vX_[718] + vX_[1857] * vX_[449] + vX_[1809] * x_in[20]) * -0.3735 - (vX_[1713] * vX_[1855] + vX_[1577] * vX_[949] + vX_[1897] * x_in[23]) + (vX_[1713] * vX_[1898] + vX_[1708] * vX_[949] + vX_[1897] * x_in[19]) * 0.3735 + (vX_[1713] * vX_[1899] + vX_[1374] * vX_[949] + (vX_[1827] * vX_[518] + vX_[1868] * vX_[573] + vX_[1900] * vX_[462] + vX_[1859] * vX_[464] + vX_[1834] * vX_[434] + vX_[1825] * vX_[443] + vX_[1902] * vX_[446] + vX_[1903] * vX_[463] + vX_[1874] * vX_[452] + vX_[1846] * vX_[516] + vX_[1868] * vX_[570] + vX_[1836] * vX_[405] + vX_[1826] * vX_[523]) * -1 + vX_[1897] * x_in[18]) * -0.207 - (vX_[1695] * vX_[1898] + vX_[1700] * vX_[1810] + vX_[1718] * vX_[688] + vX_[1708] * vX_[747] + vX_[1772] * vX_[681] + vX_[1904] * vX_[679] + vX_[1905] * vX_[677] + vX_[1906] * vX_[654] + vX_[1908] * vX_[452] + vX_[1909] * vX_[658] + vX_[1910] * vX_[657] + vX_[1913] * vX_[434] + vX_[1861] * vX_[643] + vX_[1864] * vX_[623] + vX_[1680] * vX_[470] + vX_[1819] * vX_[460] + vX_[1862] * vX_[642] + vX_[1865] * vX_[620] + vX_[1842] * vX_[619] + vX_[1863] * vX_[621] + vX_[1832] * vX_[572] + vX_[1866] * vX_[622] + vX_[1845] * vX_[459] + vX_[1844] * vX_[469] + vX_[1840] * vX_[579] + vX_[1839] * vX_[577] + vX_[1830] * vX_[575] + vX_[1681] * vX_[596] + vX_[1817] * vX_[597] + vX_[1773] * vX_[524] + vX_[1829] * vX_[520] + vX_[1828] * vX_[574] + vX_[1857] * vX_[450] + vX_[1928] * x_in[19] + vX_[1926] * x_in[20])) * vX_[1083] + (vX_[1586] * vX_[1855] + vX_[1695] * vX_[1810] + vX_[1577] * vX_[718] + vX_[1718] * vX_[747] + vX_[1772] * vX_[677] + vX_[1906] * vX_[452] + vX_[1911] * vX_[657] + vX_[1909] * vX_[434] + vX_[1864] * vX_[620] + vX_[1680] * vX_[460] + vX_[1862] * vX_[643] + vX_[1842] * vX_[572] + vX_[1863] * vX_[622] + vX_[1845] * vX_[469] + vX_[1840] * vX_[575] + vX_[1681] * vX_[597] + vX_[1110] * vX_[520] + vX_[1773] * vX_[574] + (vX_[1837] * vX_[571] + vX_[1869] * vX_[414] + vX_[1741] * vX_[464] + vX_[1901] * vX_[438] + vX_[1856] * vX_[453] + vX_[1885] * vX_[437] + vX_[1744] * vX_[446] + vX_[1807] * vX_[434] + vX_[787] * vX_[452] + vX_[1822] * vX_[463] + vX_[1837] * vX_[567] + vX_[1872] * vX_[515] + vX_[1741] * vX_[468] + vX_[1856] * vX_[512]) * 0.207 + vX_[1809] * x_in[23] + vX_[1928] * x_in[20] + (vX_[1586] * vX_[1898] + vX_[1708] * vX_[718] + vX_[1857] * vX_[447] + vX_[1809] * x_in[19]) * -0.3735 + (vX_[1586] * vX_[1899] + vX_[1374] * vX_[718] + vX_[1809] * x_in[18]) * 0.207 - (vX_[1713] * vX_[1754] + vX_[1698] * vX_[949] + vX_[1897] * x_in[22]) + (vX_[1713] * vX_[1810] + vX_[1718] * vX_[949] + vX_[1897] * x_in[20]) * -0.3735 - (vX_[1700] * vX_[1898] + vX_[1708] * vX_[688] + vX_[1904] * vX_[678] + vX_[1905] * vX_[681] + vX_[1907] * vX_[654] + vX_[1910] * vX_[434] + vX_[1912] * vX_[658] + vX_[1861] * vX_[642] + vX_[1819] * vX_[470] + vX_[1865] * vX_[623] + vX_[1832] * vX_[619] + vX_[1866] * vX_[621] + vX_[1844] * vX_[459] + vX_[1839] * vX_[576] + vX_[1830] * vX_[579] + vX_[1847] * vX_[596] + vX_[1829] * vX_[574] + vX_[1838] * vX_[524] + vX_[1857] * vX_[448] + vX_[1926] * x_in[19])) * vX_[1093];
+ vX_[1905] = 1 / vX_[380];
+ vX_[1904] = 0 - vX_[1905];
+ vX_[1772] = vX_[1904] * vX_[386];
+ vX_[1901] = 0 - vX_[1905];
+ vX_[1900] = vX_[1901] * vX_[368];
+ vX_[1857] = vX_[1772] * vX_[383] + vX_[1900] * vX_[356];
+ vX_[1869] = vX_[1857] * 1 / vX_[432];
+ vX_[1817] = 0 - vX_[1869];
+ vX_[1832] = vX_[1817] * vX_[406];
+ vX_[1842] = 0 - vX_[1905];
+ vX_[1827] = vX_[1842] * vX_[390];
+ vX_[1847] = 0 - vX_[1905];
+ vX_[1681] = vX_[1847] * vX_[378];
+ vX_[1866] = 0 - vX_[1869];
+ vX_[1865] = vX_[1827] * vX_[668] + vX_[1681] * vX_[383] + vX_[1866] * vX_[396];
+ vX_[1864] = 0 - vX_[1869];
+ vX_[1857] = vX_[1832] * vX_[724] + vX_[1865] * vX_[354] + (vX_[1857] + vX_[1864] * vX_[432]) * -1;
+ vX_[1863] = 0 - vX_[1905];
+ vX_[1862] = 0 - vX_[1869];
+ vX_[1861] = vX_[1827] * vX_[662] + vX_[1681] * vX_[401] + vX_[1863] * vX_[380] * -1 + vX_[1862] * vX_[458];
+ vX_[1859] = 0 - vX_[1869];
+ vX_[1844] = vX_[1772] * vX_[395] + vX_[1900] * vX_[383] + vX_[1859] * vX_[467];
+ vX_[1680] = 0 - (vX_[1832] * vX_[448] + vX_[1865] * vX_[591] + vX_[1861] * vX_[449] + vX_[1844] * vX_[447]) + vX_[1857] * vX_[599];
+ vX_[1845] = 0 - vX_[1680];
+ vX_[1819] = 0 - vX_[1869];
+ vX_[1828] = vX_[1827] * vX_[383] + vX_[1681] * vX_[356] + vX_[1819] * vX_[444];
+ vX_[1838] = 0 - vX_[1680];
+ vX_[1110] = 0 - (vX_[1828] * 0.207 + vX_[1832] * vX_[450] + vX_[1865] * vX_[696] + vX_[1861] * vX_[435] + vX_[1844] * vX_[449]) + vX_[1857] * vX_[586] + vX_[1838] * vX_[630];
+ vX_[1829] = 0 - vX_[1110];
+ vX_[1839] = 0 - vX_[1680];
+ vX_[1773] = 0 - vX_[1110];
+ vX_[1828] = 0 - vX_[1828] * -1 + vX_[1857] * vX_[552] + vX_[1839] * vX_[519] + vX_[1773] * vX_[645];
+ vX_[1830] = 0 - vX_[1828];
+ vX_[1840] = 0 - (vX_[1832] * vX_[353] + vX_[1865] * vX_[587]) + vX_[1857] * vX_[582] + vX_[1845] * vX_[564] + vX_[1829] * vX_[566] + vX_[1830] * vX_[684];
+ vX_[1700] = 0 - vX_[1680];
+ vX_[1695] = 0 - vX_[1110];
+ vX_[1713] = 0 - vX_[1828];
+ vX_[1586] = 0 - vX_[1840];
+ vX_[1791] = (0 - (vX_[1832] * vX_[435] + vX_[1865] * vX_[583]) + vX_[1857] * vX_[686] + vX_[1700] * vX_[692] + vX_[1695] * vX_[694] + vX_[1713] * vX_[700] + vX_[1586] * vX_[674]) * 1 / vX_[682];
+ vX_[1895] = 0 - vX_[1791];
+ vX_[1840] = (vX_[1840] + vX_[1895] * vX_[705]) * 1 / vX_[680];
+ vX_[1878] = 0 - vX_[1791];
+ vX_[1886] = 0 - vX_[1840];
+ vX_[1828] = (vX_[1828] + vX_[1878] * vX_[699] + vX_[1886] * vX_[655]) * 1 / vX_[683];
+ vX_[1803] = 0 - vX_[1791];
+ vX_[1920] = 0 - vX_[1840];
+ vX_[1923] = 0 - vX_[1828];
+ vX_[1110] = (vX_[1110] + vX_[1803] * vX_[595] + vX_[1920] * vX_[644] + vX_[1923] * vX_[550]) * 1 / vX_[580];
+ vX_[1889] = vX_[1828] * -1 + vX_[1110] * 0.207;
+ vX_[1887] = 0 - vX_[1791];
+ vX_[1919] = 0 - vX_[1840];
+ vX_[1797] = 0 - vX_[1828];
+ vX_[1801] = 0 - vX_[1110];
+ vX_[1680] = (vX_[1680] + vX_[1887] * vX_[691] + vX_[1919] * vX_[624] + vX_[1797] * vX_[471] + vX_[1801] * vX_[629]) * 1 / vX_[578];
+ vX_[1800] = 0 - vX_[1791];
+ vX_[1799] = 0 - vX_[1840];
+ vX_[1915] = 0 - vX_[1828];
+ vX_[1881] = 0 - vX_[1110];
+ vX_[1798] = 0 - vX_[1680];
+ vX_[1796] = (0 - vX_[1857] + vX_[1800] * vX_[536] + vX_[1799] * vX_[472] + vX_[1915] * vX_[656] + vX_[1881] * vX_[590] + vX_[1798] * vX_[598]) * 1 / vX_[581];
+ vX_[1918] = vX_[1791] * vX_[583] + vX_[1840] * vX_[587] + vX_[1110] * vX_[696] + vX_[1680] * vX_[591] + vX_[1796] * vX_[354];
+ vX_[1794] = vX_[1110] * vX_[435] + vX_[1680] * vX_[449];
+ vX_[1882] = vX_[1889] * vX_[383] + vX_[1918] * vX_[668] + vX_[1794] * vX_[662];
+ vX_[1792] = vX_[1889] * vX_[356] + vX_[1918] * vX_[383] + vX_[1794] * vX_[401];
+ vX_[1789] = vX_[1794] * -1;
+ vX_[1916] = vX_[1882] * 1 / vX_[380];
+ vX_[1914] = vX_[1792] * 1 / vX_[380];
+ vX_[1795] = vX_[1789] * 1 / vX_[380];
+ vX_[1793] = vX_[1796] * -1;
+ vX_[1790] = vX_[1889] * 1 / vX_[432];
+ vX_[1930] = vX_[1791] * vX_[435] + vX_[1840] * vX_[353] + vX_[1110] * vX_[450] + vX_[1680] * vX_[448] + vX_[1796] * vX_[724];
+ vX_[1931] = vX_[1930] * 1 / vX_[432];
+ vX_[1932] = vX_[1918] * 1 / vX_[432];
+ vX_[1933] = vX_[1793] * 1 / vX_[432];
+ vX_[1934] = vX_[1794] * 1 / vX_[432];
+ vX_[1935] = vX_[1110] * vX_[449] + vX_[1680] * vX_[447];
+ vX_[1936] = vX_[1935] * 1 / vX_[432];
+ vX_[1793] = vX_[1793] - (vX_[1869] + vX_[1790] * vX_[444] + vX_[1931] * vX_[406] + vX_[1932] * vX_[396] + vX_[1933] * vX_[432] + vX_[1934] * vX_[458] + vX_[1936] * vX_[467]);
+ vX_[1937] = vX_[1793] * vX_[383] + vX_[1935] * vX_[395];
+ vX_[1938] = vX_[1937] * 1 / vX_[380];
+ vX_[1939] = vX_[1793] * vX_[356] + vX_[1935] * vX_[383];
+ vX_[1940] = vX_[1939] * 1 / vX_[380];
+ vX_[1789] = vX_[1789] - (vX_[1905] + vX_[1916] * vX_[390] + vX_[1914] * vX_[378] + vX_[1795] * vX_[380] + vX_[1938] * vX_[386] + vX_[1940] * vX_[368]);
+ vX_[1941] = vX_[1882] * vX_[359] + vX_[1792] * vX_[357] + vX_[1789] * vX_[362];
+ vX_[1942] = vX_[1882] * vX_[357] + vX_[1792] * vX_[618] + vX_[1789] * vX_[612];
+ vX_[1943] = vX_[1789] - (vX_[1942] * 38.1956380581338 * 0.1104774 + vX_[1941] * 38.1956380581338 * -0.0004405 + vX_[1789] * 38.1956380581338 * 0.026181);
+ vX_[1944] = vX_[1937] * vX_[357] + vX_[1939] * vX_[360];
+ vX_[1945] = vX_[1941] * 0.881 + (0 - vX_[1943]) * 0.0004405 + vX_[1944] * -8.81e-05;
+ vX_[1946] = vX_[1942] * -0.881;
+ vX_[1947] = vX_[1943] * 0.1104774;
+ vX_[1948] = vX_[1937] * vX_[359] + vX_[1939] * vX_[357];
+ vX_[1949] = vX_[1948] * -8.81e-05;
+ vX_[1950] = vX_[1946] - vX_[1947] + vX_[1949];
+ vX_[1951] = vX_[1945] * vX_[352] + vX_[1950] * vX_[635];
+ vX_[1952] = vX_[1792] * 3.146 + (0 - vX_[1789]) * -0.0825825;
+ vX_[1953] = vX_[1882] * -3.146;
+ vX_[1954] = vX_[1789] * 0.47422804;
+ vX_[1955] = vX_[1953] - vX_[1954];
+ vX_[1956] = vX_[1951] + vX_[1952] * vX_[651] + vX_[1955] * vX_[626];
+ vX_[1957] = vX_[1918] * 3.44 + vX_[1794] * 0.5824264;
+ vX_[1958] = 0 - vX_[1957];
+ vX_[1959] = vX_[1889] * 3.44 + (0 - vX_[1794]) * 0.1466472;
+ vX_[1960] = vX_[1865] + vX_[1889] * vX_[452] + vX_[1930] * vX_[434] + vX_[1918] * vX_[443] + vX_[1794] * vX_[516] + vX_[1935] * vX_[570];
+ vX_[1961] = vX_[1956] * -1 + vX_[1958] * vX_[697] + vX_[1959] * vX_[664] + vX_[1960] * x_in[24];
+ vX_[1962] = 0 - vX_[1791] * vX_[1014];
+ vX_[1963] = 0 - vX_[1962];
+ vX_[1964] = 0 - vX_[1962];
+ vX_[1586] = (vX_[1586] * vX_[1014] + vX_[1964] * vX_[705]) * 1 / vX_[680];
+ vX_[1965] = 0 - vX_[1586];
+ vX_[1966] = 0 - vX_[1962];
+ vX_[1967] = 0 - vX_[1586];
+ vX_[1713] = (vX_[1713] * vX_[1014] + vX_[1966] * vX_[699] + vX_[1967] * vX_[655]) * 1 / vX_[683];
+ vX_[1968] = 0 - vX_[1713];
+ vX_[1695] = (vX_[1695] * vX_[1014] + vX_[1963] * vX_[595] + vX_[1965] * vX_[644] + vX_[1968] * vX_[550]) * 1 / vX_[580];
+ vX_[1964] = vX_[1895] * vX_[703] + vX_[1964] * vX_[674];
+ vX_[1895] = 0 - vX_[1964];
+ vX_[1969] = 0 - vX_[1840] * vX_[703] - vX_[1586] * vX_[674];
+ vX_[1970] = 0 - vX_[1969];
+ vX_[1971] = 0 - vX_[1964];
+ vX_[1972] = 0 - vX_[1969];
+ vX_[1830] = (vX_[1830] * vX_[728] + vX_[1971] * vX_[699] + vX_[1972] * vX_[655]) * 1 / vX_[683];
+ vX_[1973] = 0 - vX_[1830];
+ vX_[1829] = (vX_[1829] * vX_[728] + vX_[1895] * vX_[595] + vX_[1970] * vX_[644] + vX_[1973] * vX_[550]) * 1 / vX_[580];
+ vX_[1971] = vX_[1878] * vX_[1016] + vX_[1966] * vX_[700] + vX_[1971] * vX_[684];
+ vX_[1966] = 0 - vX_[1971];
+ vX_[1972] = vX_[1886] * vX_[1016] + vX_[1967] * vX_[700] + vX_[1972] * vX_[684];
+ vX_[1967] = 0 - vX_[1972];
+ vX_[1886] = 0 - vX_[1828] * vX_[1016] - vX_[1713] * vX_[700] - vX_[1830] * vX_[684];
+ vX_[1878] = 0 - vX_[1886];
+ vX_[1773] = (vX_[1773] * vX_[1018] + vX_[1966] * vX_[595] + vX_[1967] * vX_[644] + vX_[1878] * vX_[550]) * 1 / vX_[580];
+ vX_[1974] = 0 - vX_[1110] * vX_[861] - vX_[1695] * vX_[694] - vX_[1829] * vX_[566] - vX_[1773] * vX_[645];
+ vX_[1975] = 0 - vX_[1962];
+ vX_[1976] = 0 - vX_[1586];
+ vX_[1977] = 0 - vX_[1713];
+ vX_[1978] = 0 - vX_[1695];
+ vX_[1979] = 0 - vX_[1962];
+ vX_[1980] = 0 - vX_[1586];
+ vX_[1981] = 0 - vX_[1713];
+ vX_[1982] = 0 - vX_[1695];
+ vX_[1700] = (vX_[1700] * vX_[1014] + vX_[1979] * vX_[691] + vX_[1980] * vX_[624] + vX_[1981] * vX_[471] + vX_[1982] * vX_[629]) * 1 / vX_[578];
+ vX_[1983] = 0 - vX_[1700];
+ vX_[1984] = (vX_[1857] * vX_[1014] + vX_[1975] * vX_[536] + vX_[1976] * vX_[472] + vX_[1977] * vX_[656] + vX_[1978] * vX_[590] + vX_[1983] * vX_[598]) * 1 / vX_[581];
+ vX_[1985] = 0 - vX_[1964];
+ vX_[1986] = 0 - vX_[1969];
+ vX_[1987] = 0 - vX_[1830];
+ vX_[1988] = 0 - vX_[1829];
+ vX_[1989] = 0 - vX_[1964];
+ vX_[1990] = 0 - vX_[1969];
+ vX_[1991] = 0 - vX_[1830];
+ vX_[1992] = 0 - vX_[1829];
+ vX_[1845] = (vX_[1845] * vX_[728] + vX_[1989] * vX_[691] + vX_[1990] * vX_[624] + vX_[1991] * vX_[471] + vX_[1992] * vX_[629]) * 1 / vX_[578];
+ vX_[1993] = 0 - vX_[1845];
+ vX_[1994] = (vX_[1857] * vX_[728] + vX_[1985] * vX_[536] + vX_[1986] * vX_[472] + vX_[1987] * vX_[656] + vX_[1988] * vX_[590] + vX_[1993] * vX_[598]) * 1 / vX_[581];
+ vX_[1995] = 0 - vX_[1971];
+ vX_[1996] = 0 - vX_[1972];
+ vX_[1997] = 0 - vX_[1886];
+ vX_[1998] = 0 - vX_[1773];
+ vX_[1999] = 0 - vX_[1971];
+ vX_[2000] = 0 - vX_[1972];
+ vX_[2001] = 0 - vX_[1886];
+ vX_[2002] = 0 - vX_[1773];
+ vX_[1839] = (vX_[1839] * vX_[1018] + vX_[1999] * vX_[691] + vX_[2000] * vX_[624] + vX_[2001] * vX_[471] + vX_[2002] * vX_[629]) * 1 / vX_[578];
+ vX_[2003] = 0 - vX_[1839];
+ vX_[2004] = (vX_[1857] * vX_[1018] + vX_[1995] * vX_[536] + vX_[1996] * vX_[472] + vX_[1997] * vX_[656] + vX_[1998] * vX_[590] + vX_[2003] * vX_[598]) * 1 / vX_[581];
+ vX_[1966] = vX_[1803] * vX_[861] + vX_[1963] * vX_[694] + vX_[1895] * vX_[566] + vX_[1966] * vX_[645];
+ vX_[1895] = 0 - vX_[1966];
+ vX_[1967] = vX_[1920] * vX_[861] + vX_[1965] * vX_[694] + vX_[1970] * vX_[566] + vX_[1967] * vX_[645];
+ vX_[1970] = 0 - vX_[1967];
+ vX_[1878] = vX_[1923] * vX_[861] + vX_[1968] * vX_[694] + vX_[1973] * vX_[566] + vX_[1878] * vX_[645];
+ vX_[1973] = 0 - vX_[1878];
+ vX_[1968] = 0 - vX_[1974];
+ vX_[1923] = 0 - vX_[1966];
+ vX_[1965] = 0 - vX_[1967];
+ vX_[1920] = 0 - vX_[1878];
+ vX_[1963] = 0 - vX_[1974];
+ vX_[1838] = (vX_[1838] * vX_[1050] + vX_[1923] * vX_[691] + vX_[1965] * vX_[624] + vX_[1920] * vX_[471] + vX_[1963] * vX_[629]) * 1 / vX_[578];
+ vX_[1803] = 0 - vX_[1838];
+ vX_[2005] = (vX_[1857] * vX_[1050] + vX_[1895] * vX_[536] + vX_[1970] * vX_[472] + vX_[1973] * vX_[656] + vX_[1968] * vX_[590] + vX_[1803] * vX_[598]) * 1 / vX_[581];
+ vX_[1923] = vX_[1887] * vX_[922] + vX_[1979] * vX_[692] + vX_[1989] * vX_[564] + vX_[1999] * vX_[519] + vX_[1923] * vX_[630];
+ vX_[1999] = 0 - vX_[1923];
+ vX_[1965] = vX_[1919] * vX_[922] + vX_[1980] * vX_[692] + vX_[1990] * vX_[564] + vX_[2000] * vX_[519] + vX_[1965] * vX_[630];
+ vX_[2000] = 0 - vX_[1965];
+ vX_[1920] = vX_[1797] * vX_[922] + vX_[1981] * vX_[692] + vX_[1991] * vX_[564] + vX_[2001] * vX_[519] + vX_[1920] * vX_[630];
+ vX_[2001] = 0 - vX_[1920];
+ vX_[1963] = vX_[1801] * vX_[922] + vX_[1982] * vX_[692] + vX_[1992] * vX_[564] + vX_[2002] * vX_[519] + vX_[1963] * vX_[630];
+ vX_[2002] = 0 - vX_[1963];
+ vX_[1992] = 0 - vX_[1680] * vX_[922] - vX_[1700] * vX_[692] - vX_[1845] * vX_[564] - vX_[1839] * vX_[519] - vX_[1838] * vX_[630];
+ vX_[1982] = 0 - vX_[1992];
+ vX_[1857] = (vX_[1857] * vX_[1052] + vX_[1999] * vX_[536] + vX_[2000] * vX_[472] + vX_[2001] * vX_[656] + vX_[2002] * vX_[590] + vX_[1982] * vX_[598]) * 1 / vX_[581];
+ vX_[1801] = 0 - vX_[1796] * vX_[995] - vX_[1984] * vX_[686] - vX_[1994] * vX_[582] - vX_[2004] * vX_[552] - vX_[2005] * vX_[586] - vX_[1857] * vX_[599];
+ vX_[1991] = vX_[1974] - vX_[1801];
+ vX_[1981] = vX_[1838] + vX_[1963];
+ vX_[1797] = vX_[1991] * vX_[449] + vX_[1981] * vX_[447];
+ vX_[1990] = vX_[1992] - vX_[1801];
+ vX_[1980] = vX_[1990] * vX_[449];
+ vX_[1919] = vX_[1991] * vX_[435] + vX_[1981] * vX_[449];
+ vX_[1989] = vX_[1990] * vX_[447];
+ vX_[1979] = vX_[1919] + vX_[1989];
+ vX_[1887] = vX_[1797] * vX_[435] + vX_[1980] * vX_[447] + vX_[1979] * vX_[449];
+ vX_[2006] = 0 - vX_[1887];
+ vX_[2007] = vX_[1801] + vX_[1919] * vX_[435] + vX_[1980] * vX_[449];
+ vX_[2008] = 0 - vX_[2007];
+ vX_[2009] = vX_[1801] + vX_[1797] * vX_[449] + vX_[1989] * vX_[447];
+ vX_[2000] = vX_[1799] * vX_[995] + vX_[1976] * vX_[686] + vX_[1986] * vX_[582] + vX_[1996] * vX_[552] + vX_[1970] * vX_[586] + vX_[2000] * vX_[599];
+ vX_[1970] = vX_[1994] + vX_[2000];
+ vX_[1996] = vX_[1839] + vX_[1920] - vX_[1970];
+ vX_[1999] = vX_[1800] * vX_[995] + vX_[1975] * vX_[686] + vX_[1985] * vX_[582] + vX_[1995] * vX_[552] + vX_[1895] * vX_[586] + vX_[1999] * vX_[599];
+ vX_[1895] = vX_[1984] + vX_[1999];
+ vX_[1995] = 0 - (vX_[1773] + vX_[1878]) + vX_[1895];
+ vX_[1985] = (vX_[1895] * vX_[435] + vX_[1970] * vX_[449]) * -1;
+ vX_[1975] = 0 - (vX_[1996] * vX_[449] + vX_[1995] * vX_[447]) + vX_[1985];
+ vX_[1800] = vX_[1975] + vX_[2007] * vX_[436];
+ vX_[1986] = 0 - vX_[1800];
+ vX_[1976] = (vX_[1895] * vX_[449] + vX_[1970] * vX_[447]) * -1;
+ vX_[1799] = vX_[1996] * vX_[435] + vX_[1995] * vX_[449] + vX_[1976];
+ vX_[2010] = 0 - vX_[2009];
+ vX_[2011] = vX_[1799] + vX_[1887] * vX_[436] + vX_[2010] * vX_[355];
+ vX_[2012] = vX_[1829] + vX_[1967];
+ vX_[2013] = vX_[1695] + vX_[1966];
+ vX_[2014] = vX_[2012] * vX_[447] + vX_[2013] * vX_[449];
+ vX_[2015] = vX_[1700] + vX_[1923];
+ vX_[2016] = vX_[1845] + vX_[1965];
+ vX_[2017] = vX_[2015] * vX_[449] + vX_[2016] * vX_[447];
+ vX_[2018] = vX_[2014] * vX_[435] + vX_[2017] * vX_[449];
+ vX_[1982] = vX_[1798] * vX_[995] + vX_[1983] * vX_[686] + vX_[1993] * vX_[582] + vX_[2003] * vX_[552] + vX_[1803] * vX_[586] + vX_[1982] * vX_[599];
+ vX_[1803] = vX_[1857] + vX_[1982];
+ vX_[2002] = vX_[1881] * vX_[995] + vX_[1978] * vX_[686] + vX_[1988] * vX_[582] + vX_[1998] * vX_[552] + vX_[1968] * vX_[586] + vX_[2002] * vX_[599];
+ vX_[1968] = vX_[2005] + vX_[2002];
+ vX_[1998] = 0 - vX_[1968];
+ vX_[1988] = vX_[1803] * vX_[449] + vX_[1998] * vX_[447];
+ vX_[1978] = 0 - vX_[1988];
+ vX_[1881] = vX_[2018] + vX_[1978] * vX_[355] + vX_[2008] * vX_[451];
+ vX_[2003] = 0 - vX_[1881];
+ vX_[1993] = vX_[2012] * vX_[449] + vX_[2013] * vX_[435];
+ vX_[1983] = vX_[2015] * vX_[435] + vX_[2016] * vX_[449];
+ vX_[1798] = vX_[1993] * vX_[449] + vX_[1983] * vX_[447];
+ vX_[1968] = 0 - vX_[1968];
+ vX_[2019] = vX_[1803] * vX_[435] + vX_[1968] * vX_[449];
+ vX_[2020] = 0 - vX_[2019];
+ vX_[2021] = vX_[1798] + vX_[2020] * vX_[436] + vX_[2009] * vX_[451];
+ vX_[2022] = vX_[1993] * vX_[435] + vX_[1983] * vX_[449];
+ vX_[2023] = vX_[2022] + vX_[1988] * vX_[436];
+ vX_[2024] = vX_[2014] * vX_[449] + vX_[2017] * vX_[447];
+ vX_[2025] = vX_[2024] + vX_[2019] * vX_[355] + vX_[2006] * vX_[451];
+ vX_[2026] = 0 - vX_[2023] + vX_[2025];
+ vX_[2027] = 0 - vX_[1887];
+ vX_[2028] = 0 - vX_[2007];
+ vX_[2008] = vX_[2006] * vX_[573] + vX_[2008] * vX_[518] + vX_[2009] * vX_[414] + vX_[1986] * vX_[452] + vX_[2011] * vX_[463] + vX_[2003] * vX_[443] + vX_[2021] * vX_[437] + vX_[2026] * vX_[434] + vX_[1887] * vX_[567] + vX_[2027] * vX_[570] + vX_[2028] * vX_[517] + vX_[2009] * vX_[521];
+ vX_[2006] = 0 - vX_[1945];
+ vX_[2029] = vX_[1930] * -1 + vX_[1793] * -0.08;
+ vX_[2030] = vX_[2029] + vX_[1937] * -0.35;
+ vX_[2031] = vX_[2030] * 0.881 + (0 - vX_[1944]) * 0.1104774 + vX_[1948] * 0.0004405;
+ vX_[2032] = vX_[1942] * 0.00185880198235362 + vX_[1941] * 0.880992588508842 + vX_[1944] * -8.81e-05;
+ vX_[2033] = vX_[2006] * vX_[706] + vX_[2031] * vX_[635] + vX_[2032] * x_in[26];
+ vX_[1949] = 0 - vX_[1946] + vX_[1947] - vX_[1949];
+ vX_[1947] = 0 - vX_[2031];
+ vX_[1946] = vX_[1942] * 0.414812462825713 + vX_[1941] * 0.00185880198235362 + vX_[1948] * 8.81e-05;
+ vX_[2034] = vX_[1949] * vX_[706] + vX_[1947] * vX_[352] - vX_[1946] * x_in[26];
+ vX_[2035] = 0 - vX_[1952];
+ vX_[2036] = vX_[2029] * 3.146 + (0 - vX_[1937]) * 0.47422804 + vX_[1939] * -0.0825825;
+ vX_[2037] = vX_[1681] + vX_[1882] * vX_[411] + vX_[1792] * vX_[410] + vX_[1937] * vX_[387] + vX_[1939] * vX_[382];
+ vX_[2038] = vX_[2033] * vX_[357] + vX_[2034] * vX_[359] + vX_[2035] * vX_[628] + vX_[2036] * vX_[626] + vX_[2037] * x_in[25];
+ vX_[1954] = 0 - vX_[1953] + vX_[1954];
+ vX_[1953] = 0 - vX_[2036];
+ vX_[2039] = vX_[1827] + vX_[1882] * vX_[409] + vX_[1792] * vX_[411] + vX_[1937] * vX_[393] + vX_[1939] * vX_[392];
+ vX_[2040] = vX_[2033] * vX_[618] + vX_[2034] * vX_[357] + vX_[1954] * vX_[628] + vX_[1953] * vX_[651] - vX_[2039] * x_in[25];
+ vX_[2041] = vX_[1930] * -3.44;
+ vX_[2042] = vX_[1793] * 0.1466472;
+ vX_[2043] = vX_[1935] * 0.5824264;
+ vX_[2044] = 0 - vX_[2041] + vX_[2042] - vX_[2043];
+ vX_[2045] = 0 - vX_[1959];
+ vX_[2046] = vX_[1832] + vX_[1889] * vX_[463] + vX_[1930] * vX_[437] + vX_[1918] * vX_[434] + vX_[1794] * vX_[567] + vX_[1935] * vX_[515];
+ vX_[2047] = vX_[2038] * vX_[668] + vX_[2040] * vX_[383] + vX_[2044] * vX_[697] + vX_[2045] * vX_[704] - vX_[2046] * x_in[24];
+ vX_[2048] = vX_[1974] + vX_[1992] + vX_[1801] - vX_[2007] - vX_[2009];
+ vX_[2049] = 0 - vX_[2048];
+ vX_[1985] = vX_[1985] + vX_[2049] * vX_[436];
+ vX_[1976] = vX_[1976] + vX_[2048] * vX_[355];
+ vX_[2050] = 0 - vX_[2011];
+ vX_[2051] = 0 - vX_[2021];
+ vX_[2001] = vX_[1915] * vX_[995] + vX_[1977] * vX_[686] + vX_[1987] * vX_[582] + vX_[1997] * vX_[552] + vX_[1973] * vX_[586] + vX_[2001] * vX_[599];
+ vX_[1973] = vX_[2004] + vX_[2001] + vX_[2013] + vX_[2016] - vX_[2022] - vX_[2024];
+ vX_[2025] = vX_[1973] - vX_[2025];
+ vX_[1997] = 0 - vX_[1988];
+ vX_[1987] = 0 - vX_[1887];
+ vX_[1977] = 0 - vX_[2009];
+ vX_[1915] = vX_[1962] - vX_[1886];
+ vX_[2052] = vX_[1969] - vX_[1886];
+ vX_[2053] = vX_[1586] + vX_[1964];
+ vX_[2054] = vX_[1830] + vX_[1972];
+ vX_[2055] = vX_[1713] + vX_[1971];
+ vX_[2056] = 0 - vX_[2055];
+ vX_[2057] = vX_[1915] * vX_[449] + vX_[2053] * vX_[447];
+ vX_[2058] = vX_[2052] * vX_[449];
+ vX_[2059] = vX_[1915] * vX_[435] + vX_[2053] * vX_[449];
+ vX_[2060] = vX_[2052] * vX_[447];
+ vX_[2061] = vX_[2059] + vX_[2060];
+ vX_[2062] = vX_[2030] * 0.0004405 + vX_[1942] * -8.81e-05 + vX_[1948] * -0.000227999999999999;
+ vX_[2063] = vX_[2030] * 0.1104774 + vX_[1941] * -8.81e-05 + (0 - vX_[1944]) * 0.025713;
+ vX_[2064] = (0 - vX_[1942]) * 0.0004405;
+ vX_[2065] = (0 - vX_[1941]) * 0.1104774;
+ vX_[2066] = vX_[2064] + vX_[2065];
+ vX_[2066] = vX_[2006] * vX_[606] + vX_[1949] * vX_[234] + vX_[2062] * vX_[352] + vX_[2063] * vX_[635] + vX_[2066] * vX_[706] + vX_[2066] * vX_[706];
+ vX_[1949] = vX_[2029] * -0.0825825 + (0 - vX_[1789]) * 0.000102 + vX_[1937] * 0.007418 + vX_[1939] * 0.002735;
+ vX_[2006] = vX_[2029] * 0.47422804 + vX_[1789] * 2.1e-05 + (0 - vX_[1937]) * 0.084376 + (0 - vX_[1939]) * 0.007418;
+ vX_[2067] = (0 - vX_[1882]) * -0.0825825;
+ vX_[2068] = (0 - vX_[1792]) * 0.47422804;
+ vX_[2069] = vX_[1937] * 0.000102;
+ vX_[2070] = (0 - vX_[1939]) * 2.1e-05;
+ vX_[2071] = vX_[2067] + vX_[2068] + vX_[2069] + vX_[2070];
+ vX_[2071] = vX_[2066] + vX_[2033] * vX_[612] + vX_[2034] * vX_[362] + vX_[2035] * vX_[653] + vX_[1954] * vX_[649] + vX_[1949] * vX_[651] + vX_[2006] * vX_[626] + vX_[2071] * vX_[628] + vX_[2071] * vX_[628];
+ vX_[1954] = vX_[1930] * 0.5824264 + (0 - vX_[1793]) * -0.022734 + vX_[1794] * -3.6e-05 + vX_[1935] * -0.133138;
+ vX_[2035] = vX_[1930] * 0.1466472 + vX_[1793] * 0.009466 + (0 - vX_[1794]) * -5.1e-05 + vX_[1935] * -0.022734;
+ vX_[2072] = (0 - vX_[1889]) * 0.5824264;
+ vX_[2073] = (0 - vX_[1918]) * 0.1466472;
+ vX_[2074] = (0 - vX_[1793]) * -3.6e-05;
+ vX_[2075] = (0 - vX_[1935]) * -5.1e-05;
+ vX_[2076] = vX_[2072] + vX_[2073] + vX_[2074] - vX_[2075];
+ vX_[2077] = vX_[1844] + vX_[1889] * vX_[468] + vX_[1930] * vX_[515] + vX_[1918] * vX_[570] + vX_[1794] * vX_[569] + vX_[1935] * vX_[431];
+ vX_[2076] = vX_[2038] * vX_[662] + vX_[2040] * vX_[401] + vX_[2071] * -1 + vX_[1957] * vX_[702] + vX_[2045] * vX_[690] + vX_[1954] * vX_[697] + vX_[2035] * vX_[664] + vX_[2076] * vX_[704] + vX_[2076] * vX_[704] + vX_[2077] * x_in[24];
+ vX_[1943] = vX_[1942] * 0.1104774 + vX_[1941] * 0.0004405 + vX_[1943] * 0.025941;
+ vX_[2045] = (0 - vX_[2030]) * -8.81e-05;
+ vX_[2065] = vX_[2045] + vX_[2065];
+ vX_[1948] = vX_[2030] * 0.0004405 + vX_[1942] * 8.81e-05 + vX_[1948] * 0.000468;
+ vX_[2065] = vX_[1945] * vX_[731] + vX_[1947] * vX_[234] + vX_[2062] * vX_[706] + vX_[1943] * vX_[635] + vX_[2065] * vX_[352] + vX_[2065] * vX_[352] + vX_[1948] * x_in[26];
+ vX_[2045] = vX_[2045] + vX_[2064];
+ vX_[2030] = vX_[2030] * -0.1104774 + vX_[1941] * -8.81e-05 + vX_[1944] * 0.026409;
+ jac[961] = vX_[1946] * vX_[737] + vX_[2032] * vX_[606] + vX_[2030] * vX_[709] + vX_[1948] * vX_[352] + vX_[2066];
+ vX_[2030] = vX_[1950] * vX_[731] + vX_[2031] * vX_[606] + vX_[2063] * vX_[706] + vX_[1943] * vX_[352] + vX_[2045] * vX_[635] + vX_[2045] * vX_[635] - vX_[2030] * x_in[26];
+ vX_[2045] = vX_[1882] * 0.47422804 + vX_[1792] * -0.0825825 + vX_[1789] * 0.081641 + (0 - vX_[1937]) * 2.1e-05 + vX_[1939] * 0.000102;
+ vX_[1943] = (0 - vX_[1789]) * 0.007418;
+ vX_[2070] = vX_[2068] + vX_[1943] - vX_[2070];
+ vX_[2068] = vX_[1900] + vX_[2029] * vX_[377] + vX_[1882] * vX_[392] + vX_[1792] * vX_[382] + vX_[1937] * vX_[426] + vX_[1939] * vX_[422];
+ vX_[2070] = vX_[1951] * -0.35 + vX_[2065] * vX_[357] + vX_[2030] * vX_[359] + vX_[1952] * vX_[730] + vX_[1953] * vX_[649] + vX_[1949] * vX_[628] + vX_[2045] * vX_[626] + vX_[2070] * vX_[651] + vX_[2070] * vX_[651] + vX_[2068] * x_in[25];
+ vX_[1943] = vX_[2067] - vX_[1943] - vX_[2069];
+ vX_[2069] = vX_[1772] + vX_[2029] * vX_[389] + vX_[1882] * vX_[393] + vX_[1792] * vX_[387] + vX_[1937] * vX_[420] + vX_[1939] * vX_[426];
+ jac[925] = vX_[2039] * vX_[739] + vX_[2037] * vX_[653] + vX_[2069] * vX_[715] + vX_[2068] * vX_[651] + vX_[2071];
+ vX_[2069] = vX_[2065] * vX_[360] + vX_[2030] * vX_[357] + vX_[1955] * vX_[730] + vX_[2036] * vX_[653] + vX_[2006] * vX_[628] + vX_[2045] * vX_[651] + vX_[1943] * vX_[626] + vX_[1943] * vX_[626] - vX_[2069] * x_in[25];
+ vX_[2043] = vX_[2041] - vX_[2042] + vX_[2043];
+ vX_[2042] = vX_[1889] * 0.1466472 + vX_[1918] * 0.5824264 + vX_[1793] * -5.1e-05 + (0 - vX_[1794]) * -0.123672 + (0 - vX_[1935]) * -3.6e-05;
+ vX_[2041] = vX_[1794] * -0.022734;
+ vX_[2074] = vX_[2072] - vX_[2074] - vX_[2041];
+ vX_[2072] = vX_[1861] + vX_[1889] * vX_[405] + vX_[1930] * vX_[567] + vX_[1918] * vX_[516] + vX_[1794] * vX_[514] + vX_[1935] * vX_[569];
+ vX_[2074] = vX_[2070] * vX_[395] + vX_[2069] * vX_[383] + vX_[2043] * vX_[702] + vX_[1959] * vX_[725] + vX_[2042] * vX_[697] + vX_[2035] * vX_[704] + vX_[2074] * vX_[664] + vX_[2074] * vX_[664] - vX_[2072] * x_in[24];
+ vX_[2035] = 0 - vX_[1985];
+ vX_[1959] = 0 - vX_[1976];
+ vX_[1973] = 0 - vX_[1973] + vX_[2023];
+ vX_[2023] = 0 - vX_[2019];
+ vX_[2055] = 0 - vX_[2055];
+ jac[241] = 0 - (0 - (vX_[1832] * vX_[1754] + vX_[1840] * vX_[718] + vX_[1961] * x_in[22]) + (vX_[1832] * vX_[1810] + vX_[1110] * vX_[718] + vX_[2008] * vX_[449] + vX_[1961] * x_in[20]) * -0.3735 - (vX_[1865] * vX_[1855] + vX_[1791] * vX_[949] + vX_[2047] * x_in[23]) + (vX_[1865] * vX_[1898] + vX_[1680] * vX_[949] + vX_[2047] * x_in[19]) * 0.3735 + (vX_[1865] * vX_[1899] + vX_[1796] * vX_[949] + (vX_[1978] * vX_[518] + vX_[2019] * vX_[573] + vX_[2048] * vX_[462] + vX_[2010] * vX_[464] + vX_[1985] * vX_[434] + vX_[1976] * vX_[443] + vX_[2050] * vX_[446] + vX_[2051] * vX_[463] + vX_[2025] * vX_[452] + vX_[1997] * vX_[516] + vX_[2019] * vX_[570] + vX_[1987] * vX_[405] + vX_[1977] * vX_[523]) * -1 + vX_[2047] * x_in[18]) * -0.207 - (vX_[1861] * vX_[1898] + vX_[1844] * vX_[1810] + vX_[1110] * vX_[688] + vX_[1680] * vX_[747] + vX_[1915] * vX_[681] + vX_[2052] * vX_[679] + vX_[2053] * vX_[677] + vX_[2054] * vX_[654] + vX_[2056] * vX_[452] + vX_[2057] * vX_[658] + vX_[2058] * vX_[657] + vX_[2061] * vX_[434] + vX_[2012] * vX_[643] + vX_[2015] * vX_[623] + vX_[1895] * vX_[470] + vX_[1970] * vX_[460] + vX_[2013] * vX_[642] + vX_[2016] * vX_[620] + vX_[1993] * vX_[619] + vX_[2014] * vX_[621] + vX_[1983] * vX_[572] + vX_[2017] * vX_[622] + vX_[1996] * vX_[459] + vX_[1995] * vX_[469] + vX_[1991] * vX_[579] + vX_[1990] * vX_[577] + vX_[1981] * vX_[575] + vX_[1803] * vX_[596] + vX_[1968] * vX_[597] + vX_[1797] * vX_[524] + vX_[1980] * vX_[520] + vX_[1979] * vX_[574] + vX_[2008] * vX_[450] + vX_[2076] * x_in[19] + vX_[2074] * x_in[20])) * vX_[1083] + (vX_[1832] * vX_[1855] + vX_[1861] * vX_[1810] + vX_[1791] * vX_[718] + vX_[1110] * vX_[747] + vX_[1915] * vX_[677] + vX_[2054] * vX_[452] + vX_[2059] * vX_[657] + vX_[2057] * vX_[434] + vX_[2015] * vX_[620] + vX_[1895] * vX_[460] + vX_[2013] * vX_[643] + vX_[1993] * vX_[572] + vX_[2014] * vX_[622] + vX_[1996] * vX_[469] + vX_[1991] * vX_[575] + vX_[1803] * vX_[597] + vX_[1919] * vX_[520] + vX_[1797] * vX_[574] + (vX_[1988] * vX_[571] + vX_[2020] * vX_[414] + vX_[1887] * vX_[464] + vX_[2049] * vX_[438] + vX_[2007] * vX_[453] + vX_[2035] * vX_[437] + vX_[1800] * vX_[446] + vX_[1959] * vX_[434] + vX_[1881] * vX_[452] + vX_[1973] * vX_[463] + vX_[1988] * vX_[567] + vX_[2023] * vX_[515] + vX_[1887] * vX_[468] + vX_[2007] * vX_[512]) * 0.207 + vX_[1961] * x_in[23] + vX_[2076] * x_in[20] + (vX_[1832] * vX_[1898] + vX_[1680] * vX_[718] + vX_[2008] * vX_[447] + vX_[1961] * x_in[19]) * -0.3735 + (vX_[1832] * vX_[1899] + vX_[1796] * vX_[718] + vX_[1961] * x_in[18]) * 0.207 - (vX_[1865] * vX_[1754] + vX_[1840] * vX_[949] + vX_[2047] * x_in[22]) + (vX_[1865] * vX_[1810] + vX_[1110] * vX_[949] + vX_[2047] * x_in[20]) * -0.3735 - (vX_[1844] * vX_[1898] + vX_[1680] * vX_[688] + vX_[2052] * vX_[678] + vX_[2053] * vX_[681] + vX_[2055] * vX_[654] + vX_[2058] * vX_[434] + vX_[2060] * vX_[658] + vX_[2012] * vX_[642] + vX_[1970] * vX_[470] + vX_[2016] * vX_[623] + vX_[1983] * vX_[619] + vX_[2017] * vX_[621] + vX_[1995] * vX_[459] + vX_[1990] * vX_[576] + vX_[1981] * vX_[579] + vX_[1998] * vX_[596] + vX_[1980] * vX_[574] + vX_[1989] * vX_[524] + vX_[2008] * vX_[448] + vX_[2074] * x_in[19])) * vX_[1093];
+ vX_[2053] = -1. + -4.21975478400367 * vX_[612] + 0.0168251785646079 * vX_[362];
+ vX_[2052] = vX_[2053] * 1 / vX_[380];
+ vX_[1915] = 0 - vX_[2052];
+ vX_[2049] = vX_[1915] * vX_[386];
+ vX_[2048] = 0 - vX_[2052];
+ vX_[2008] = vX_[2048] * vX_[368];
+ vX_[2020] = vX_[2049] * vX_[383] + vX_[2008] * vX_[356];
+ vX_[1968] = vX_[2020] * 1 / vX_[432];
+ vX_[1983] = 0 - vX_[1968];
+ vX_[1993] = vX_[1983] * vX_[406];
+ vX_[1978] = 0 - vX_[2052];
+ vX_[1998] = -4.21975478400367 * vX_[357] + 0.0168251785646079 * vX_[359] + vX_[1978] * vX_[390];
+ vX_[1803] = 0 - vX_[2052];
+ vX_[2017] = -4.21975478400367 * vX_[618] + 0.0168251785646079 * vX_[357] + vX_[1803] * vX_[378];
+ vX_[2016] = 0 - vX_[1968];
+ vX_[2015] = vX_[1998] * vX_[668] + vX_[2017] * vX_[383] + vX_[2016] * vX_[396];
+ vX_[2014] = 0 - vX_[1968];
+ vX_[2020] = vX_[1993] * vX_[724] + vX_[2015] * vX_[354] + (vX_[2020] + vX_[2014] * vX_[432]) * -1;
+ vX_[2013] = 0 - vX_[2052];
+ vX_[2012] = 0 - vX_[1968];
+ vX_[2053] = vX_[1998] * vX_[662] + vX_[2017] * vX_[401] + (vX_[2053] + vX_[2013] * vX_[380]) * -1 + vX_[2012] * vX_[458];
+ vX_[2010] = 0 - vX_[1968];
+ vX_[1995] = vX_[2049] * vX_[395] + vX_[2008] * vX_[383] + vX_[2010] * vX_[467];
+ vX_[1895] = 0 - (vX_[1993] * vX_[448] + vX_[2015] * vX_[591] + vX_[2053] * vX_[449] + vX_[1995] * vX_[447]) + vX_[2020] * vX_[599];
+ vX_[1996] = 0 - vX_[1895];
+ vX_[1970] = 0 - vX_[1968];
+ vX_[1979] = vX_[1998] * vX_[383] + vX_[2017] * vX_[356] + vX_[1970] * vX_[444];
+ vX_[1989] = 0 - vX_[1895];
+ vX_[1919] = 0 - (vX_[1979] * 0.207 + vX_[1993] * vX_[450] + vX_[2015] * vX_[696] + vX_[2053] * vX_[435] + vX_[1995] * vX_[449]) + vX_[2020] * vX_[586] + vX_[1989] * vX_[630];
+ vX_[1980] = 0 - vX_[1919];
+ vX_[1990] = 0 - vX_[1895];
+ vX_[1797] = 0 - vX_[1919];
+ vX_[1979] = 0 - vX_[1979] * -1 + vX_[2020] * vX_[552] + vX_[1990] * vX_[519] + vX_[1797] * vX_[645];
+ vX_[1981] = 0 - vX_[1979];
+ vX_[1991] = 0 - (vX_[1993] * vX_[353] + vX_[2015] * vX_[587]) + vX_[2020] * vX_[582] + vX_[1996] * vX_[564] + vX_[1980] * vX_[566] + vX_[1981] * vX_[684];
+ vX_[1844] = 0 - vX_[1895];
+ vX_[1861] = 0 - vX_[1919];
+ vX_[1865] = 0 - vX_[1979];
+ vX_[1832] = 0 - vX_[1991];
+ vX_[1943] = (0 - (vX_[1993] * vX_[435] + vX_[2015] * vX_[583]) + vX_[2020] * vX_[686] + vX_[1844] * vX_[692] + vX_[1861] * vX_[694] + vX_[1865] * vX_[700] + vX_[1832] * vX_[674]) * 1 / vX_[682];
+ vX_[2045] = 0 - vX_[1943];
+ vX_[1991] = (vX_[1991] + vX_[2045] * vX_[705]) * 1 / vX_[680];
+ vX_[2006] = 0 - vX_[1943];
+ vX_[2036] = 0 - vX_[1991];
+ vX_[1979] = (vX_[1979] + vX_[2006] * vX_[699] + vX_[2036] * vX_[655]) * 1 / vX_[683];
+ vX_[1955] = 0 - vX_[1943];
+ vX_[2068] = 0 - vX_[1991];
+ vX_[2071] = 0 - vX_[1979];
+ vX_[1919] = (vX_[1919] + vX_[1955] * vX_[595] + vX_[2068] * vX_[644] + vX_[2071] * vX_[550]) * 1 / vX_[580];
+ vX_[2039] = vX_[1979] * -1 + vX_[1919] * 0.207;
+ vX_[2037] = 0 - vX_[1943];
+ vX_[2067] = 0 - vX_[1991];
+ vX_[1949] = 0 - vX_[1979];
+ vX_[1953] = 0 - vX_[1919];
+ vX_[1895] = (vX_[1895] + vX_[2037] * vX_[691] + vX_[2067] * vX_[624] + vX_[1949] * vX_[471] + vX_[1953] * vX_[629]) * 1 / vX_[578];
+ vX_[1952] = 0 - vX_[1943];
+ vX_[1951] = 0 - vX_[1991];
+ vX_[2063] = 0 - vX_[1979];
+ vX_[2031] = 0 - vX_[1919];
+ vX_[1950] = 0 - vX_[1895];
+ vX_[1948] = (0 - vX_[2020] + vX_[1952] * vX_[536] + vX_[1951] * vX_[472] + vX_[2063] * vX_[656] + vX_[2031] * vX_[590] + vX_[1950] * vX_[598]) * 1 / vX_[581];
+ vX_[2066] = vX_[1943] * vX_[583] + vX_[1991] * vX_[587] + vX_[1919] * vX_[696] + vX_[1895] * vX_[591] + vX_[1948] * vX_[354];
+ vX_[1946] = vX_[1919] * vX_[435] + vX_[1895] * vX_[449];
+ vX_[2032] = vX_[2039] * vX_[383] + vX_[2066] * vX_[668] + vX_[1946] * vX_[662];
+ vX_[1944] = vX_[2039] * vX_[356] + vX_[2066] * vX_[383] + vX_[1946] * vX_[401];
+ vX_[1941] = vX_[1946] * -1;
+ vX_[2064] = vX_[2032] * 1 / vX_[380];
+ vX_[2062] = vX_[1944] * 1 / vX_[380];
+ vX_[1947] = vX_[1941] * 1 / vX_[380];
+ vX_[1945] = vX_[1948] * -1;
+ vX_[1942] = vX_[2039] * 1 / vX_[432];
+ vX_[2078] = vX_[1943] * vX_[435] + vX_[1991] * vX_[353] + vX_[1919] * vX_[450] + vX_[1895] * vX_[448] + vX_[1948] * vX_[724];
+ vX_[2079] = vX_[2078] * 1 / vX_[432];
+ vX_[2080] = vX_[2066] * 1 / vX_[432];
+ vX_[2081] = vX_[1945] * 1 / vX_[432];
+ vX_[2082] = vX_[1946] * 1 / vX_[432];
+ vX_[2083] = vX_[1919] * vX_[449] + vX_[1895] * vX_[447];
+ vX_[2084] = vX_[2083] * 1 / vX_[432];
+ vX_[1945] = vX_[1945] - (vX_[1968] + vX_[1942] * vX_[444] + vX_[2079] * vX_[406] + vX_[2080] * vX_[396] + vX_[2081] * vX_[432] + vX_[2082] * vX_[458] + vX_[2084] * vX_[467]);
+ vX_[2085] = vX_[1945] * vX_[383] + vX_[2083] * vX_[395];
+ vX_[2086] = vX_[2085] * 1 / vX_[380];
+ vX_[2087] = vX_[1945] * vX_[356] + vX_[2083] * vX_[383];
+ vX_[2088] = vX_[2087] * 1 / vX_[380];
+ vX_[1941] = vX_[1941] - (vX_[2052] + vX_[2064] * vX_[390] + vX_[2062] * vX_[378] + vX_[1947] * vX_[380] + vX_[2086] * vX_[386] + vX_[2088] * vX_[368]);
+ vX_[2089] = vX_[2032] * vX_[359] + vX_[1944] * vX_[357] + vX_[1941] * vX_[362];
+ vX_[2090] = vX_[2032] * vX_[357] + vX_[1944] * vX_[618] + vX_[1941] * vX_[612];
+ vX_[2091] = vX_[1941] - (38.1956380581338 + vX_[2090] * 38.1956380581338 * 0.1104774 + vX_[2089] * 38.1956380581338 * -0.0004405 + vX_[1941] * 38.1956380581338 * 0.026181);
+ vX_[2092] = vX_[2085] * vX_[357] + vX_[2087] * vX_[360];
+ vX_[2093] = vX_[2089] * 0.881 + (0 - vX_[2091]) * 0.0004405 + vX_[2092] * -8.81e-05;
+ vX_[2094] = vX_[2090] * -0.881;
+ vX_[2095] = vX_[2091] * 0.1104774;
+ vX_[2096] = vX_[2085] * vX_[359] + vX_[2087] * vX_[357];
+ vX_[2097] = vX_[2096] * -8.81e-05;
+ vX_[2098] = vX_[2094] - vX_[2095] + vX_[2097];
+ vX_[2099] = vX_[2093] * vX_[352] + vX_[2098] * vX_[635];
+ vX_[2100] = vX_[1944] * 3.146 + (0 - vX_[1941]) * -0.0825825;
+ vX_[2101] = vX_[2032] * -3.146;
+ vX_[2102] = vX_[1941] * 0.47422804;
+ vX_[2103] = vX_[2101] - vX_[2102];
+ vX_[2104] = vX_[2099] + vX_[2100] * vX_[651] + vX_[2103] * vX_[626];
+ vX_[2105] = vX_[2066] * 3.44 + vX_[1946] * 0.5824264;
+ vX_[2106] = 0 - vX_[2105];
+ vX_[2107] = vX_[2039] * 3.44 + (0 - vX_[1946]) * 0.1466472;
+ vX_[2108] = vX_[2015] + vX_[2039] * vX_[452] + vX_[2078] * vX_[434] + vX_[2066] * vX_[443] + vX_[1946] * vX_[516] + vX_[2083] * vX_[570];
+ vX_[2109] = vX_[2104] * -1 + vX_[2106] * vX_[697] + vX_[2107] * vX_[664] + vX_[2108] * x_in[24];
+ vX_[2110] = 0 - vX_[1943] * vX_[1014];
+ vX_[2111] = 0 - vX_[2110];
+ vX_[2112] = 0 - vX_[2110];
+ vX_[1832] = (vX_[1832] * vX_[1014] + vX_[2112] * vX_[705]) * 1 / vX_[680];
+ vX_[2113] = 0 - vX_[1832];
+ vX_[2114] = 0 - vX_[2110];
+ vX_[2115] = 0 - vX_[1832];
+ vX_[1865] = (vX_[1865] * vX_[1014] + vX_[2114] * vX_[699] + vX_[2115] * vX_[655]) * 1 / vX_[683];
+ vX_[2116] = 0 - vX_[1865];
+ vX_[1861] = (vX_[1861] * vX_[1014] + vX_[2111] * vX_[595] + vX_[2113] * vX_[644] + vX_[2116] * vX_[550]) * 1 / vX_[580];
+ vX_[2112] = vX_[2045] * vX_[703] + vX_[2112] * vX_[674];
+ vX_[2045] = 0 - vX_[2112];
+ vX_[2117] = 0 - vX_[1991] * vX_[703] - vX_[1832] * vX_[674];
+ vX_[2118] = 0 - vX_[2117];
+ vX_[2119] = 0 - vX_[2112];
+ vX_[2120] = 0 - vX_[2117];
+ vX_[1981] = (vX_[1981] * vX_[728] + vX_[2119] * vX_[699] + vX_[2120] * vX_[655]) * 1 / vX_[683];
+ vX_[2121] = 0 - vX_[1981];
+ vX_[1980] = (vX_[1980] * vX_[728] + vX_[2045] * vX_[595] + vX_[2118] * vX_[644] + vX_[2121] * vX_[550]) * 1 / vX_[580];
+ vX_[2119] = vX_[2006] * vX_[1016] + vX_[2114] * vX_[700] + vX_[2119] * vX_[684];
+ vX_[2114] = 0 - vX_[2119];
+ vX_[2120] = vX_[2036] * vX_[1016] + vX_[2115] * vX_[700] + vX_[2120] * vX_[684];
+ vX_[2115] = 0 - vX_[2120];
+ vX_[2036] = 0 - vX_[1979] * vX_[1016] - vX_[1865] * vX_[700] - vX_[1981] * vX_[684];
+ vX_[2006] = 0 - vX_[2036];
+ vX_[1797] = (vX_[1797] * vX_[1018] + vX_[2114] * vX_[595] + vX_[2115] * vX_[644] + vX_[2006] * vX_[550]) * 1 / vX_[580];
+ vX_[2122] = 0 - vX_[1919] * vX_[861] - vX_[1861] * vX_[694] - vX_[1980] * vX_[566] - vX_[1797] * vX_[645];
+ vX_[2123] = 0 - vX_[2110];
+ vX_[2124] = 0 - vX_[1832];
+ vX_[2125] = 0 - vX_[1865];
+ vX_[2126] = 0 - vX_[1861];
+ vX_[2127] = 0 - vX_[2110];
+ vX_[2128] = 0 - vX_[1832];
+ vX_[2129] = 0 - vX_[1865];
+ vX_[2130] = 0 - vX_[1861];
+ vX_[1844] = (vX_[1844] * vX_[1014] + vX_[2127] * vX_[691] + vX_[2128] * vX_[624] + vX_[2129] * vX_[471] + vX_[2130] * vX_[629]) * 1 / vX_[578];
+ vX_[2131] = 0 - vX_[1844];
+ vX_[2132] = (vX_[2020] * vX_[1014] + vX_[2123] * vX_[536] + vX_[2124] * vX_[472] + vX_[2125] * vX_[656] + vX_[2126] * vX_[590] + vX_[2131] * vX_[598]) * 1 / vX_[581];
+ vX_[2133] = 0 - vX_[2112];
+ vX_[2134] = 0 - vX_[2117];
+ vX_[2135] = 0 - vX_[1981];
+ vX_[2136] = 0 - vX_[1980];
+ vX_[2137] = 0 - vX_[2112];
+ vX_[2138] = 0 - vX_[2117];
+ vX_[2139] = 0 - vX_[1981];
+ vX_[2140] = 0 - vX_[1980];
+ vX_[1996] = (vX_[1996] * vX_[728] + vX_[2137] * vX_[691] + vX_[2138] * vX_[624] + vX_[2139] * vX_[471] + vX_[2140] * vX_[629]) * 1 / vX_[578];
+ vX_[2141] = 0 - vX_[1996];
+ vX_[2142] = (vX_[2020] * vX_[728] + vX_[2133] * vX_[536] + vX_[2134] * vX_[472] + vX_[2135] * vX_[656] + vX_[2136] * vX_[590] + vX_[2141] * vX_[598]) * 1 / vX_[581];
+ vX_[2143] = 0 - vX_[2119];
+ vX_[2144] = 0 - vX_[2120];
+ vX_[2145] = 0 - vX_[2036];
+ vX_[2146] = 0 - vX_[1797];
+ vX_[2147] = 0 - vX_[2119];
+ vX_[2148] = 0 - vX_[2120];
+ vX_[2149] = 0 - vX_[2036];
+ vX_[2150] = 0 - vX_[1797];
+ vX_[1990] = (vX_[1990] * vX_[1018] + vX_[2147] * vX_[691] + vX_[2148] * vX_[624] + vX_[2149] * vX_[471] + vX_[2150] * vX_[629]) * 1 / vX_[578];
+ vX_[2151] = 0 - vX_[1990];
+ vX_[2152] = (vX_[2020] * vX_[1018] + vX_[2143] * vX_[536] + vX_[2144] * vX_[472] + vX_[2145] * vX_[656] + vX_[2146] * vX_[590] + vX_[2151] * vX_[598]) * 1 / vX_[581];
+ vX_[2114] = vX_[1955] * vX_[861] + vX_[2111] * vX_[694] + vX_[2045] * vX_[566] + vX_[2114] * vX_[645];
+ vX_[2045] = 0 - vX_[2114];
+ vX_[2115] = vX_[2068] * vX_[861] + vX_[2113] * vX_[694] + vX_[2118] * vX_[566] + vX_[2115] * vX_[645];
+ vX_[2118] = 0 - vX_[2115];
+ vX_[2006] = vX_[2071] * vX_[861] + vX_[2116] * vX_[694] + vX_[2121] * vX_[566] + vX_[2006] * vX_[645];
+ vX_[2121] = 0 - vX_[2006];
+ vX_[2116] = 0 - vX_[2122];
+ vX_[2071] = 0 - vX_[2114];
+ vX_[2113] = 0 - vX_[2115];
+ vX_[2068] = 0 - vX_[2006];
+ vX_[2111] = 0 - vX_[2122];
+ vX_[1989] = (vX_[1989] * vX_[1050] + vX_[2071] * vX_[691] + vX_[2113] * vX_[624] + vX_[2068] * vX_[471] + vX_[2111] * vX_[629]) * 1 / vX_[578];
+ vX_[1955] = 0 - vX_[1989];
+ vX_[2153] = (vX_[2020] * vX_[1050] + vX_[2045] * vX_[536] + vX_[2118] * vX_[472] + vX_[2121] * vX_[656] + vX_[2116] * vX_[590] + vX_[1955] * vX_[598]) * 1 / vX_[581];
+ vX_[2071] = vX_[2037] * vX_[922] + vX_[2127] * vX_[692] + vX_[2137] * vX_[564] + vX_[2147] * vX_[519] + vX_[2071] * vX_[630];
+ vX_[2147] = 0 - vX_[2071];
+ vX_[2113] = vX_[2067] * vX_[922] + vX_[2128] * vX_[692] + vX_[2138] * vX_[564] + vX_[2148] * vX_[519] + vX_[2113] * vX_[630];
+ vX_[2148] = 0 - vX_[2113];
+ vX_[2068] = vX_[1949] * vX_[922] + vX_[2129] * vX_[692] + vX_[2139] * vX_[564] + vX_[2149] * vX_[519] + vX_[2068] * vX_[630];
+ vX_[2149] = 0 - vX_[2068];
+ vX_[2111] = vX_[1953] * vX_[922] + vX_[2130] * vX_[692] + vX_[2140] * vX_[564] + vX_[2150] * vX_[519] + vX_[2111] * vX_[630];
+ vX_[2150] = 0 - vX_[2111];
+ vX_[2140] = 0 - vX_[1895] * vX_[922] - vX_[1844] * vX_[692] - vX_[1996] * vX_[564] - vX_[1990] * vX_[519] - vX_[1989] * vX_[630];
+ vX_[2130] = 0 - vX_[2140];
+ vX_[2020] = (vX_[2020] * vX_[1052] + vX_[2147] * vX_[536] + vX_[2148] * vX_[472] + vX_[2149] * vX_[656] + vX_[2150] * vX_[590] + vX_[2130] * vX_[598]) * 1 / vX_[581];
+ vX_[1953] = 0 - vX_[1948] * vX_[995] - vX_[2132] * vX_[686] - vX_[2142] * vX_[582] - vX_[2152] * vX_[552] - vX_[2153] * vX_[586] - vX_[2020] * vX_[599];
+ vX_[2139] = vX_[2122] - vX_[1953];
+ vX_[2129] = vX_[1989] + vX_[2111];
+ vX_[1949] = vX_[2139] * vX_[449] + vX_[2129] * vX_[447];
+ vX_[2138] = vX_[2140] - vX_[1953];
+ vX_[2128] = vX_[2138] * vX_[449];
+ vX_[2067] = vX_[2139] * vX_[435] + vX_[2129] * vX_[449];
+ vX_[2137] = vX_[2138] * vX_[447];
+ vX_[2127] = vX_[2067] + vX_[2137];
+ vX_[2037] = vX_[1949] * vX_[435] + vX_[2128] * vX_[447] + vX_[2127] * vX_[449];
+ vX_[2154] = 0 - vX_[2037];
+ vX_[2155] = vX_[1953] + vX_[2067] * vX_[435] + vX_[2128] * vX_[449];
+ vX_[2156] = 0 - vX_[2155];
+ vX_[2157] = vX_[1953] + vX_[1949] * vX_[449] + vX_[2137] * vX_[447];
+ vX_[2148] = vX_[1951] * vX_[995] + vX_[2124] * vX_[686] + vX_[2134] * vX_[582] + vX_[2144] * vX_[552] + vX_[2118] * vX_[586] + vX_[2148] * vX_[599];
+ vX_[2118] = vX_[2142] + vX_[2148];
+ vX_[2144] = vX_[1990] + vX_[2068] - vX_[2118];
+ vX_[2147] = vX_[1952] * vX_[995] + vX_[2123] * vX_[686] + vX_[2133] * vX_[582] + vX_[2143] * vX_[552] + vX_[2045] * vX_[586] + vX_[2147] * vX_[599];
+ vX_[2045] = vX_[2132] + vX_[2147];
+ vX_[2143] = 0 - (vX_[1797] + vX_[2006]) + vX_[2045];
+ vX_[2133] = (vX_[2045] * vX_[435] + vX_[2118] * vX_[449]) * -1;
+ vX_[2123] = 0 - (vX_[2144] * vX_[449] + vX_[2143] * vX_[447]) + vX_[2133];
+ vX_[1952] = vX_[2123] + vX_[2155] * vX_[436];
+ vX_[2134] = 0 - vX_[1952];
+ vX_[2124] = (vX_[2045] * vX_[449] + vX_[2118] * vX_[447]) * -1;
+ vX_[1951] = vX_[2144] * vX_[435] + vX_[2143] * vX_[449] + vX_[2124];
+ vX_[2158] = 0 - vX_[2157];
+ vX_[2159] = vX_[1951] + vX_[2037] * vX_[436] + vX_[2158] * vX_[355];
+ vX_[2160] = vX_[1980] + vX_[2115];
+ vX_[2161] = vX_[1861] + vX_[2114];
+ vX_[2162] = vX_[2160] * vX_[447] + vX_[2161] * vX_[449];
+ vX_[2163] = vX_[1844] + vX_[2071];
+ vX_[2164] = vX_[1996] + vX_[2113];
+ vX_[2165] = vX_[2163] * vX_[449] + vX_[2164] * vX_[447];
+ vX_[2166] = vX_[2162] * vX_[435] + vX_[2165] * vX_[449];
+ vX_[2130] = vX_[1950] * vX_[995] + vX_[2131] * vX_[686] + vX_[2141] * vX_[582] + vX_[2151] * vX_[552] + vX_[1955] * vX_[586] + vX_[2130] * vX_[599];
+ vX_[1955] = vX_[2020] + vX_[2130];
+ vX_[2150] = vX_[2031] * vX_[995] + vX_[2126] * vX_[686] + vX_[2136] * vX_[582] + vX_[2146] * vX_[552] + vX_[2116] * vX_[586] + vX_[2150] * vX_[599];
+ vX_[2116] = vX_[2153] + vX_[2150];
+ vX_[2146] = 0 - vX_[2116];
+ vX_[2136] = vX_[1955] * vX_[449] + vX_[2146] * vX_[447];
+ vX_[2126] = 0 - vX_[2136];
+ vX_[2031] = vX_[2166] + vX_[2126] * vX_[355] + vX_[2156] * vX_[451];
+ vX_[2151] = 0 - vX_[2031];
+ vX_[2141] = vX_[2160] * vX_[449] + vX_[2161] * vX_[435];
+ vX_[2131] = vX_[2163] * vX_[435] + vX_[2164] * vX_[449];
+ vX_[1950] = vX_[2141] * vX_[449] + vX_[2131] * vX_[447];
+ vX_[2116] = 0 - vX_[2116];
+ vX_[2167] = vX_[1955] * vX_[435] + vX_[2116] * vX_[449];
+ vX_[2168] = 0 - vX_[2167];
+ vX_[2169] = vX_[1950] + vX_[2168] * vX_[436] + vX_[2157] * vX_[451];
+ vX_[2170] = vX_[2141] * vX_[435] + vX_[2131] * vX_[449];
+ vX_[2171] = vX_[2170] + vX_[2136] * vX_[436];
+ vX_[2172] = vX_[2162] * vX_[449] + vX_[2165] * vX_[447];
+ vX_[2173] = vX_[2172] + vX_[2167] * vX_[355] + vX_[2154] * vX_[451];
+ vX_[2174] = 0 - vX_[2171] + vX_[2173];
+ vX_[2175] = 0 - vX_[2037];
+ vX_[2176] = 0 - vX_[2155];
+ vX_[2156] = vX_[2154] * vX_[573] + vX_[2156] * vX_[518] + vX_[2157] * vX_[414] + vX_[2134] * vX_[452] + vX_[2159] * vX_[463] + vX_[2151] * vX_[443] + vX_[2169] * vX_[437] + vX_[2174] * vX_[434] + vX_[2037] * vX_[567] + vX_[2175] * vX_[570] + vX_[2176] * vX_[517] + vX_[2157] * vX_[521];
+ vX_[2154] = 0 - vX_[2093];
+ vX_[2177] = vX_[2078] * -1 + vX_[1945] * -0.08;
+ vX_[2178] = vX_[2177] + vX_[2085] * -0.35;
+ vX_[2179] = vX_[2178] * 0.881 + (0 - vX_[2092]) * 0.1104774 + vX_[2096] * 0.0004405;
+ vX_[2180] = 0.0168251785646079 + vX_[2090] * 0.00185880198235362 + vX_[2089] * 0.880992588508842 + vX_[2092] * -8.81e-05;
+ vX_[2181] = vX_[2154] * vX_[706] + vX_[2179] * vX_[635] + vX_[2180] * x_in[26];
+ vX_[2097] = 0 - vX_[2094] + vX_[2095] - vX_[2097];
+ vX_[2095] = 0 - vX_[2179];
+ vX_[2094] = -4.21975478400367 + vX_[2090] * 0.414812462825713 + vX_[2089] * 0.00185880198235362 + vX_[2096] * 8.81e-05;
+ vX_[2182] = vX_[2097] * vX_[706] + vX_[2095] * vX_[352] - vX_[2094] * x_in[26];
+ vX_[2183] = 0 - vX_[2100];
+ vX_[2184] = vX_[2177] * 3.146 + (0 - vX_[2085]) * 0.47422804 + vX_[2087] * -0.0825825;
+ vX_[2185] = vX_[2017] + vX_[2032] * vX_[411] + vX_[1944] * vX_[410] + vX_[2085] * vX_[387] + vX_[2087] * vX_[382];
+ vX_[2186] = vX_[2181] * vX_[357] + vX_[2182] * vX_[359] + vX_[2183] * vX_[628] + vX_[2184] * vX_[626] + vX_[2185] * x_in[25];
+ vX_[2102] = 0 - vX_[2101] + vX_[2102];
+ vX_[2101] = 0 - vX_[2184];
+ vX_[2187] = vX_[1998] + vX_[2032] * vX_[409] + vX_[1944] * vX_[411] + vX_[2085] * vX_[393] + vX_[2087] * vX_[392];
+ vX_[2188] = vX_[2181] * vX_[618] + vX_[2182] * vX_[357] + vX_[2102] * vX_[628] + vX_[2101] * vX_[651] - vX_[2187] * x_in[25];
+ vX_[2189] = vX_[2078] * -3.44;
+ vX_[2190] = vX_[1945] * 0.1466472;
+ vX_[2191] = vX_[2083] * 0.5824264;
+ vX_[2192] = 0 - vX_[2189] + vX_[2190] - vX_[2191];
+ vX_[2193] = 0 - vX_[2107];
+ vX_[2194] = vX_[1993] + vX_[2039] * vX_[463] + vX_[2078] * vX_[437] + vX_[2066] * vX_[434] + vX_[1946] * vX_[567] + vX_[2083] * vX_[515];
+ vX_[2195] = vX_[2186] * vX_[668] + vX_[2188] * vX_[383] + vX_[2192] * vX_[697] + vX_[2193] * vX_[704] - vX_[2194] * x_in[24];
+ vX_[2196] = vX_[2122] + vX_[2140] + vX_[1953] - vX_[2155] - vX_[2157];
+ vX_[2197] = 0 - vX_[2196];
+ vX_[2133] = vX_[2133] + vX_[2197] * vX_[436];
+ vX_[2124] = vX_[2124] + vX_[2196] * vX_[355];
+ vX_[2198] = 0 - vX_[2159];
+ vX_[2199] = 0 - vX_[2169];
+ vX_[2149] = vX_[2063] * vX_[995] + vX_[2125] * vX_[686] + vX_[2135] * vX_[582] + vX_[2145] * vX_[552] + vX_[2121] * vX_[586] + vX_[2149] * vX_[599];
+ vX_[2121] = vX_[2152] + vX_[2149] + vX_[2161] + vX_[2164] - vX_[2170] - vX_[2172];
+ vX_[2173] = vX_[2121] - vX_[2173];
+ vX_[2145] = 0 - vX_[2136];
+ vX_[2135] = 0 - vX_[2037];
+ vX_[2125] = 0 - vX_[2157];
+ vX_[2063] = vX_[2110] - vX_[2036];
+ vX_[2200] = vX_[2117] - vX_[2036];
+ vX_[2201] = vX_[1832] + vX_[2112];
+ vX_[2202] = vX_[1981] + vX_[2120];
+ vX_[2203] = vX_[1865] + vX_[2119];
+ vX_[2204] = 0 - vX_[2203];
+ vX_[2205] = vX_[2063] * vX_[449] + vX_[2201] * vX_[447];
+ vX_[2206] = vX_[2200] * vX_[449];
+ vX_[2207] = vX_[2063] * vX_[435] + vX_[2201] * vX_[449];
+ vX_[2208] = vX_[2200] * vX_[447];
+ vX_[2209] = vX_[2207] + vX_[2208];
+ vX_[2210] = vX_[2178] * 0.0004405 + vX_[2090] * -8.81e-05 + vX_[2096] * -0.000227999999999999;
+ vX_[2211] = vX_[2178] * 0.1104774 + vX_[2089] * -8.81e-05 + (0 - vX_[2092]) * 0.025713;
+ vX_[2212] = (0 - vX_[2090]) * 0.0004405;
+ vX_[2213] = (0 - vX_[2089]) * 0.1104774;
+ vX_[2214] = vX_[2212] + vX_[2213];
+ vX_[2214] = vX_[2154] * vX_[606] + vX_[2097] * vX_[234] + vX_[2210] * vX_[352] + vX_[2211] * vX_[635] + vX_[2214] * vX_[706] + vX_[2214] * vX_[706];
+ vX_[2097] = vX_[2177] * -0.0825825 + (0 - vX_[1941]) * 0.000102 + vX_[2085] * 0.007418 + vX_[2087] * 0.002735;
+ vX_[2154] = vX_[2177] * 0.47422804 + vX_[1941] * 2.1e-05 + (0 - vX_[2085]) * 0.084376 + (0 - vX_[2087]) * 0.007418;
+ vX_[2215] = (0 - vX_[2032]) * -0.0825825;
+ vX_[2216] = (0 - vX_[1944]) * 0.47422804;
+ vX_[2217] = vX_[2085] * 0.000102;
+ vX_[2218] = (0 - vX_[2087]) * 2.1e-05;
+ vX_[2219] = vX_[2215] + vX_[2216] + vX_[2217] + vX_[2218];
+ vX_[2219] = vX_[2214] + vX_[2181] * vX_[612] + vX_[2182] * vX_[362] + vX_[2183] * vX_[653] + vX_[2102] * vX_[649] + vX_[2097] * vX_[651] + vX_[2154] * vX_[626] + vX_[2219] * vX_[628] + vX_[2219] * vX_[628];
+ vX_[2102] = vX_[2078] * 0.5824264 + (0 - vX_[1945]) * -0.022734 + vX_[1946] * -3.6e-05 + vX_[2083] * -0.133138;
+ vX_[2183] = vX_[2078] * 0.1466472 + vX_[1945] * 0.009466 + (0 - vX_[1946]) * -5.1e-05 + vX_[2083] * -0.022734;
+ vX_[2220] = (0 - vX_[2039]) * 0.5824264;
+ vX_[2221] = (0 - vX_[2066]) * 0.1466472;
+ vX_[2222] = (0 - vX_[1945]) * -3.6e-05;
+ vX_[2223] = (0 - vX_[2083]) * -5.1e-05;
+ vX_[2224] = vX_[2220] + vX_[2221] + vX_[2222] - vX_[2223];
+ vX_[2225] = vX_[1995] + vX_[2039] * vX_[468] + vX_[2078] * vX_[515] + vX_[2066] * vX_[570] + vX_[1946] * vX_[569] + vX_[2083] * vX_[431];
+ vX_[2224] = vX_[2186] * vX_[662] + vX_[2188] * vX_[401] + vX_[2219] * -1 + vX_[2105] * vX_[702] + vX_[2193] * vX_[690] + vX_[2102] * vX_[697] + vX_[2183] * vX_[664] + vX_[2224] * vX_[704] + vX_[2224] * vX_[704] + vX_[2225] * x_in[24];
+ vX_[2091] = vX_[2090] * 0.1104774 + vX_[2089] * 0.0004405 + vX_[2091] * 0.025941;
+ vX_[2193] = (0 - vX_[2178]) * -8.81e-05;
+ vX_[2213] = vX_[2193] + vX_[2213];
+ vX_[2096] = vX_[2178] * 0.0004405 + vX_[2090] * 8.81e-05 + vX_[2096] * 0.000468;
+ vX_[2213] = vX_[2093] * vX_[731] + vX_[2095] * vX_[234] + vX_[2210] * vX_[706] + vX_[2091] * vX_[635] + vX_[2213] * vX_[352] + vX_[2213] * vX_[352] + vX_[2096] * x_in[26];
+ vX_[2193] = vX_[2193] + vX_[2212];
+ vX_[2178] = vX_[2178] * -0.1104774 + vX_[2089] * -8.81e-05 + vX_[2092] * 0.026409;
+ jac[962] = vX_[2094] * vX_[737] + vX_[2180] * vX_[606] + vX_[2178] * vX_[709] + vX_[2096] * vX_[352] + vX_[2214];
+ vX_[2178] = vX_[2098] * vX_[731] + vX_[2179] * vX_[606] + vX_[2211] * vX_[706] + vX_[2091] * vX_[352] + vX_[2193] * vX_[635] + vX_[2193] * vX_[635] - vX_[2178] * x_in[26];
+ vX_[2193] = vX_[2032] * 0.47422804 + vX_[1944] * -0.0825825 + vX_[1941] * 0.081641 + (0 - vX_[2085]) * 2.1e-05 + vX_[2087] * 0.000102;
+ vX_[2091] = (0 - vX_[1941]) * 0.007418;
+ vX_[2218] = vX_[2216] + vX_[2091] - vX_[2218];
+ vX_[2216] = vX_[2008] + vX_[2177] * vX_[377] + vX_[2032] * vX_[392] + vX_[1944] * vX_[382] + vX_[2085] * vX_[426] + vX_[2087] * vX_[422];
+ vX_[2218] = vX_[2099] * -0.35 + vX_[2213] * vX_[357] + vX_[2178] * vX_[359] + vX_[2100] * vX_[730] + vX_[2101] * vX_[649] + vX_[2097] * vX_[628] + vX_[2193] * vX_[626] + vX_[2218] * vX_[651] + vX_[2218] * vX_[651] + vX_[2216] * x_in[25];
+ vX_[2091] = vX_[2215] - vX_[2091] - vX_[2217];
+ vX_[2217] = vX_[2049] + vX_[2177] * vX_[389] + vX_[2032] * vX_[393] + vX_[1944] * vX_[387] + vX_[2085] * vX_[420] + vX_[2087] * vX_[426];
+ jac[926] = vX_[2187] * vX_[739] + vX_[2185] * vX_[653] + vX_[2217] * vX_[715] + vX_[2216] * vX_[651] + vX_[2219];
+ vX_[2217] = vX_[2213] * vX_[360] + vX_[2178] * vX_[357] + vX_[2103] * vX_[730] + vX_[2184] * vX_[653] + vX_[2154] * vX_[628] + vX_[2193] * vX_[651] + vX_[2091] * vX_[626] + vX_[2091] * vX_[626] - vX_[2217] * x_in[25];
+ vX_[2191] = vX_[2189] - vX_[2190] + vX_[2191];
+ vX_[2190] = vX_[2039] * 0.1466472 + vX_[2066] * 0.5824264 + vX_[1945] * -5.1e-05 + (0 - vX_[1946]) * -0.123672 + (0 - vX_[2083]) * -3.6e-05;
+ vX_[2189] = vX_[1946] * -0.022734;
+ vX_[2222] = vX_[2220] - vX_[2222] - vX_[2189];
+ vX_[2220] = vX_[2053] + vX_[2039] * vX_[405] + vX_[2078] * vX_[567] + vX_[2066] * vX_[516] + vX_[1946] * vX_[514] + vX_[2083] * vX_[569];
+ vX_[2222] = vX_[2218] * vX_[395] + vX_[2217] * vX_[383] + vX_[2191] * vX_[702] + vX_[2107] * vX_[725] + vX_[2190] * vX_[697] + vX_[2183] * vX_[704] + vX_[2222] * vX_[664] + vX_[2222] * vX_[664] - vX_[2220] * x_in[24];
+ vX_[2183] = 0 - vX_[2133];
+ vX_[2107] = 0 - vX_[2124];
+ vX_[2121] = 0 - vX_[2121] + vX_[2171];
+ vX_[2171] = 0 - vX_[2167];
+ vX_[2203] = 0 - vX_[2203];
+ jac[242] = 0 - (0 - (vX_[1993] * vX_[1754] + vX_[1991] * vX_[718] + vX_[2109] * x_in[22]) + (vX_[1993] * vX_[1810] + vX_[1919] * vX_[718] + vX_[2156] * vX_[449] + vX_[2109] * x_in[20]) * -0.3735 - (vX_[2015] * vX_[1855] + vX_[1943] * vX_[949] + vX_[2195] * x_in[23]) + (vX_[2015] * vX_[1898] + vX_[1895] * vX_[949] + vX_[2195] * x_in[19]) * 0.3735 + (vX_[2015] * vX_[1899] + vX_[1948] * vX_[949] + (vX_[2126] * vX_[518] + vX_[2167] * vX_[573] + vX_[2196] * vX_[462] + vX_[2158] * vX_[464] + vX_[2133] * vX_[434] + vX_[2124] * vX_[443] + vX_[2198] * vX_[446] + vX_[2199] * vX_[463] + vX_[2173] * vX_[452] + vX_[2145] * vX_[516] + vX_[2167] * vX_[570] + vX_[2135] * vX_[405] + vX_[2125] * vX_[523]) * -1 + vX_[2195] * x_in[18]) * -0.207 - (vX_[2053] * vX_[1898] + vX_[1995] * vX_[1810] + vX_[1919] * vX_[688] + vX_[1895] * vX_[747] + vX_[2063] * vX_[681] + vX_[2200] * vX_[679] + vX_[2201] * vX_[677] + vX_[2202] * vX_[654] + vX_[2204] * vX_[452] + vX_[2205] * vX_[658] + vX_[2206] * vX_[657] + vX_[2209] * vX_[434] + vX_[2160] * vX_[643] + vX_[2163] * vX_[623] + vX_[2045] * vX_[470] + vX_[2118] * vX_[460] + vX_[2161] * vX_[642] + vX_[2164] * vX_[620] + vX_[2141] * vX_[619] + vX_[2162] * vX_[621] + vX_[2131] * vX_[572] + vX_[2165] * vX_[622] + vX_[2144] * vX_[459] + vX_[2143] * vX_[469] + vX_[2139] * vX_[579] + vX_[2138] * vX_[577] + vX_[2129] * vX_[575] + vX_[1955] * vX_[596] + vX_[2116] * vX_[597] + vX_[1949] * vX_[524] + vX_[2128] * vX_[520] + vX_[2127] * vX_[574] + vX_[2156] * vX_[450] + vX_[2224] * x_in[19] + vX_[2222] * x_in[20])) * vX_[1083] + (vX_[1993] * vX_[1855] + vX_[2053] * vX_[1810] + vX_[1943] * vX_[718] + vX_[1919] * vX_[747] + vX_[2063] * vX_[677] + vX_[2202] * vX_[452] + vX_[2207] * vX_[657] + vX_[2205] * vX_[434] + vX_[2163] * vX_[620] + vX_[2045] * vX_[460] + vX_[2161] * vX_[643] + vX_[2141] * vX_[572] + vX_[2162] * vX_[622] + vX_[2144] * vX_[469] + vX_[2139] * vX_[575] + vX_[1955] * vX_[597] + vX_[2067] * vX_[520] + vX_[1949] * vX_[574] + (vX_[2136] * vX_[571] + vX_[2168] * vX_[414] + vX_[2037] * vX_[464] + vX_[2197] * vX_[438] + vX_[2155] * vX_[453] + vX_[2183] * vX_[437] + vX_[1952] * vX_[446] + vX_[2107] * vX_[434] + vX_[2031] * vX_[452] + vX_[2121] * vX_[463] + vX_[2136] * vX_[567] + vX_[2171] * vX_[515] + vX_[2037] * vX_[468] + vX_[2155] * vX_[512]) * 0.207 + vX_[2109] * x_in[23] + vX_[2224] * x_in[20] + (vX_[1993] * vX_[1898] + vX_[1895] * vX_[718] + vX_[2156] * vX_[447] + vX_[2109] * x_in[19]) * -0.3735 + (vX_[1993] * vX_[1899] + vX_[1948] * vX_[718] + vX_[2109] * x_in[18]) * 0.207 - (vX_[2015] * vX_[1754] + vX_[1991] * vX_[949] + vX_[2195] * x_in[22]) + (vX_[2015] * vX_[1810] + vX_[1919] * vX_[949] + vX_[2195] * x_in[20]) * -0.3735 - (vX_[1995] * vX_[1898] + vX_[1895] * vX_[688] + vX_[2200] * vX_[678] + vX_[2201] * vX_[681] + vX_[2203] * vX_[654] + vX_[2206] * vX_[434] + vX_[2208] * vX_[658] + vX_[2160] * vX_[642] + vX_[2118] * vX_[470] + vX_[2164] * vX_[623] + vX_[2131] * vX_[619] + vX_[2165] * vX_[621] + vX_[2143] * vX_[459] + vX_[2138] * vX_[576] + vX_[2129] * vX_[579] + vX_[2146] * vX_[596] + vX_[2128] * vX_[574] + vX_[2137] * vX_[524] + vX_[2156] * vX_[448] + vX_[2222] * x_in[19])) * vX_[1093];
+ vX_[2201] = 1 / vX_[313];
+ vX_[2200] = 0 - vX_[2201];
+ vX_[2063] = vX_[2200] * vX_[287];
+ vX_[2197] = 0 - vX_[2201];
+ vX_[2196] = vX_[2197] * vX_[278];
+ vX_[2156] = 0 - vX_[2201];
+ vX_[2168] = vX_[2156] * vX_[313] + vX_[2063] * vX_[935] + vX_[2196] * vX_[236];
+ vX_[2116] = 0 - vX_[2201];
+ vX_[2131] = vX_[2116] * vX_[338];
+ vX_[2141] = 0 - vX_[2201];
+ vX_[2126] = vX_[2141] * vX_[347];
+ vX_[2146] = 0 - (vX_[2063] * vX_[328] + vX_[2196] * vX_[955] + vX_[2131] * vX_[235] + vX_[2126] * vX_[316]) + vX_[2168] * vX_[599];
+ vX_[1955] = 0 - vX_[2146];
+ vX_[2165] = 0 - vX_[2201];
+ vX_[2164] = vX_[2165] * vX_[325];
+ vX_[2163] = 0 - vX_[2146];
+ vX_[2162] = 0 - (vX_[2164] * 0.207 + vX_[2063] * vX_[330] + vX_[2196] * vX_[954] + vX_[2131] * vX_[316] + vX_[2126] * vX_[329]) + vX_[2168] * vX_[586] + vX_[2163] * vX_[630];
+ vX_[2161] = 0 - vX_[2162];
+ vX_[2160] = 0 - vX_[2146];
+ vX_[2158] = 0 - vX_[2162];
+ vX_[2164] = 0 - vX_[2164] + vX_[2168] * vX_[552] + vX_[2160] * vX_[519] + vX_[2158] * vX_[645];
+ vX_[2143] = 0 - vX_[2164];
+ vX_[2045] = 0 - (vX_[2063] * vX_[235] + vX_[2196] * vX_[316]) + vX_[2168] * vX_[582] + vX_[1955] * vX_[564] + vX_[2161] * vX_[566] + vX_[2143] * vX_[684];
+ vX_[2144] = 0 - vX_[2146];
+ vX_[2118] = 0 - vX_[2162];
+ vX_[2127] = 0 - vX_[2164];
+ vX_[2137] = 0 - vX_[2045];
+ vX_[2067] = (0 - (vX_[2063] * vX_[316] + vX_[2196] * vX_[956]) + vX_[2168] * vX_[686] + vX_[2144] * vX_[692] + vX_[2118] * vX_[694] + vX_[2127] * vX_[700] + vX_[2137] * vX_[674]) * 1 / vX_[682];
+ vX_[2128] = 0 - vX_[2067];
+ vX_[2045] = (vX_[2045] + vX_[2128] * vX_[705]) * 1 / vX_[680];
+ vX_[2138] = 0 - vX_[2067];
+ vX_[1949] = 0 - vX_[2045];
+ vX_[2164] = (vX_[2164] + vX_[2138] * vX_[699] + vX_[1949] * vX_[655]) * 1 / vX_[683];
+ vX_[2129] = 0 - vX_[2067];
+ vX_[2139] = 0 - vX_[2045];
+ vX_[1995] = 0 - vX_[2164];
+ vX_[2162] = (vX_[2162] + vX_[2129] * vX_[595] + vX_[2139] * vX_[644] + vX_[1995] * vX_[550]) * 1 / vX_[580];
+ vX_[2053] = vX_[2164] * -1 + vX_[2162] * 0.207;
+ vX_[2015] = 0 - vX_[2067];
+ vX_[1993] = 0 - vX_[2045];
+ vX_[2091] = 0 - vX_[2164];
+ vX_[2193] = 0 - vX_[2162];
+ vX_[2146] = (vX_[2146] + vX_[2015] * vX_[691] + vX_[1993] * vX_[624] + vX_[2091] * vX_[471] + vX_[2193] * vX_[629]) * 1 / vX_[578];
+ vX_[2154] = 0 - vX_[2067];
+ vX_[2184] = 0 - vX_[2045];
+ vX_[2103] = 0 - vX_[2164];
+ vX_[2216] = 0 - vX_[2162];
+ vX_[2219] = 0 - vX_[2146];
+ vX_[2187] = (0 - vX_[2168] + vX_[2154] * vX_[536] + vX_[2184] * vX_[472] + vX_[2103] * vX_[656] + vX_[2216] * vX_[590] + vX_[2219] * vX_[598]) * 1 / vX_[581];
+ vX_[2185] = vX_[2067] * vX_[583] + vX_[2045] * vX_[587] + vX_[2162] * vX_[696] + vX_[2146] * vX_[591] + vX_[2187] * vX_[354];
+ vX_[2215] = vX_[2162] * vX_[435] + vX_[2146] * vX_[449];
+ vX_[2097] = vX_[2053] * vX_[383] + vX_[2185] * vX_[668] + vX_[2215] * vX_[662];
+ vX_[2101] = vX_[2053] * vX_[356] + vX_[2185] * vX_[383] + vX_[2215] * vX_[401];
+ vX_[2100] = vX_[2215] * -1;
+ vX_[2099] = vX_[2097] * 1 / vX_[380];
+ vX_[2211] = vX_[2101] * 1 / vX_[380];
+ vX_[2179] = vX_[2100] * 1 / vX_[380];
+ vX_[2098] = vX_[2187] * -1;
+ vX_[2096] = vX_[2053] * 1 / vX_[432];
+ vX_[2214] = vX_[2067] * vX_[435] + vX_[2045] * vX_[353] + vX_[2162] * vX_[450] + vX_[2146] * vX_[448] + vX_[2187] * vX_[724];
+ vX_[2094] = vX_[2214] * 1 / vX_[432];
+ vX_[2180] = vX_[2185] * 1 / vX_[432];
+ vX_[2092] = vX_[2098] * 1 / vX_[432];
+ vX_[2089] = vX_[2215] * 1 / vX_[432];
+ vX_[2212] = vX_[2162] * vX_[449] + vX_[2146] * vX_[447];
+ vX_[2210] = vX_[2212] * 1 / vX_[432];
+ vX_[2098] = vX_[2098] - (vX_[2096] * vX_[444] + vX_[2094] * vX_[406] + vX_[2180] * vX_[396] + vX_[2092] * vX_[432] + vX_[2089] * vX_[458] + vX_[2210] * vX_[467]);
+ vX_[2095] = vX_[2098] * vX_[383] + vX_[2212] * vX_[395];
+ vX_[2093] = vX_[2095] * 1 / vX_[380];
+ vX_[2090] = vX_[2098] * vX_[356] + vX_[2212] * vX_[383];
+ vX_[2226] = vX_[2090] * 1 / vX_[380];
+ vX_[2100] = vX_[2100] - (vX_[2099] * vX_[390] + vX_[2211] * vX_[378] + vX_[2179] * vX_[380] + vX_[2093] * vX_[386] + vX_[2226] * vX_[368]);
+ vX_[2227] = vX_[2097] * vX_[359] + vX_[2101] * vX_[357] + vX_[2100] * vX_[362];
+ vX_[2228] = vX_[2097] * vX_[357] + vX_[2101] * vX_[618] + vX_[2100] * vX_[612];
+ vX_[2229] = vX_[2100] - (vX_[2228] * 38.1956380581338 * 0.1104774 + vX_[2227] * 38.1956380581338 * -0.0004405 + vX_[2100] * 38.1956380581338 * 0.026181);
+ vX_[2230] = vX_[2095] * vX_[357] + vX_[2090] * vX_[360];
+ vX_[2231] = vX_[2227] * 0.881 + (0 - vX_[2229]) * 0.0004405 + vX_[2230] * -8.81e-05;
+ vX_[2232] = vX_[2228] * -0.881;
+ vX_[2233] = vX_[2229] * 0.1104774;
+ vX_[2234] = vX_[2095] * vX_[359] + vX_[2090] * vX_[357];
+ vX_[2235] = vX_[2234] * -8.81e-05;
+ vX_[2236] = vX_[2232] - vX_[2233] + vX_[2235];
+ vX_[2237] = vX_[2231] * vX_[352] + vX_[2236] * vX_[635];
+ vX_[2238] = vX_[2101] * 3.146 + (0 - vX_[2100]) * -0.0825825;
+ vX_[2239] = vX_[2097] * -3.146;
+ vX_[2240] = vX_[2100] * 0.47422804;
+ vX_[2241] = vX_[2239] - vX_[2240];
+ vX_[2242] = vX_[2237] + vX_[2238] * vX_[651] + vX_[2241] * vX_[626];
+ vX_[2243] = vX_[2185] * 3.44 + vX_[2215] * 0.5824264;
+ vX_[2244] = 0 - vX_[2243];
+ vX_[2245] = vX_[2053] * 3.44 + (0 - vX_[2215]) * 0.1466472;
+ vX_[2246] = vX_[2053] * vX_[452] + vX_[2214] * vX_[434] + vX_[2185] * vX_[443] + vX_[2215] * vX_[516] + vX_[2212] * vX_[570];
+ vX_[2247] = vX_[2242] * -1 + vX_[2244] * vX_[697] + vX_[2245] * vX_[664] + vX_[2246] * x_in[24];
+ vX_[2248] = 0 - vX_[2067] * vX_[1014];
+ vX_[2249] = 0 - vX_[2248];
+ vX_[2250] = 0 - vX_[2248];
+ vX_[2137] = (vX_[2137] * vX_[1014] + vX_[2250] * vX_[705]) * 1 / vX_[680];
+ vX_[2251] = 0 - vX_[2137];
+ vX_[2252] = 0 - vX_[2248];
+ vX_[2253] = 0 - vX_[2137];
+ vX_[2127] = (vX_[2127] * vX_[1014] + vX_[2252] * vX_[699] + vX_[2253] * vX_[655]) * 1 / vX_[683];
+ vX_[2254] = 0 - vX_[2127];
+ vX_[2118] = (vX_[2118] * vX_[1014] + vX_[2249] * vX_[595] + vX_[2251] * vX_[644] + vX_[2254] * vX_[550]) * 1 / vX_[580];
+ vX_[2250] = vX_[2128] * vX_[703] + vX_[2250] * vX_[674];
+ vX_[2128] = 0 - vX_[2250];
+ vX_[2255] = 0 - vX_[2045] * vX_[703] - vX_[2137] * vX_[674];
+ vX_[2256] = 0 - vX_[2255];
+ vX_[2257] = 0 - vX_[2250];
+ vX_[2258] = 0 - vX_[2255];
+ vX_[2143] = (vX_[2143] * vX_[728] + vX_[2257] * vX_[699] + vX_[2258] * vX_[655]) * 1 / vX_[683];
+ vX_[2259] = 0 - vX_[2143];
+ vX_[2161] = (vX_[2161] * vX_[728] + vX_[2128] * vX_[595] + vX_[2256] * vX_[644] + vX_[2259] * vX_[550]) * 1 / vX_[580];
+ vX_[2257] = vX_[2138] * vX_[1016] + vX_[2252] * vX_[700] + vX_[2257] * vX_[684];
+ vX_[2252] = 0 - vX_[2257];
+ vX_[2258] = vX_[1949] * vX_[1016] + vX_[2253] * vX_[700] + vX_[2258] * vX_[684];
+ vX_[2253] = 0 - vX_[2258];
+ vX_[1949] = 0 - vX_[2164] * vX_[1016] - vX_[2127] * vX_[700] - vX_[2143] * vX_[684];
+ vX_[2138] = 0 - vX_[1949];
+ vX_[2158] = (vX_[2158] * vX_[1018] + vX_[2252] * vX_[595] + vX_[2253] * vX_[644] + vX_[2138] * vX_[550]) * 1 / vX_[580];
+ vX_[2260] = 0 - vX_[2162] * vX_[861] - vX_[2118] * vX_[694] - vX_[2161] * vX_[566] - vX_[2158] * vX_[645];
+ vX_[2261] = 0 - vX_[2248];
+ vX_[2262] = 0 - vX_[2137];
+ vX_[2263] = 0 - vX_[2127];
+ vX_[2264] = 0 - vX_[2118];
+ vX_[2265] = 0 - vX_[2248];
+ vX_[2266] = 0 - vX_[2137];
+ vX_[2267] = 0 - vX_[2127];
+ vX_[2268] = 0 - vX_[2118];
+ vX_[2144] = (vX_[2144] * vX_[1014] + vX_[2265] * vX_[691] + vX_[2266] * vX_[624] + vX_[2267] * vX_[471] + vX_[2268] * vX_[629]) * 1 / vX_[578];
+ vX_[2269] = 0 - vX_[2144];
+ vX_[2270] = (vX_[2168] * vX_[1014] + vX_[2261] * vX_[536] + vX_[2262] * vX_[472] + vX_[2263] * vX_[656] + vX_[2264] * vX_[590] + vX_[2269] * vX_[598]) * 1 / vX_[581];
+ vX_[2271] = 0 - vX_[2250];
+ vX_[2272] = 0 - vX_[2255];
+ vX_[2273] = 0 - vX_[2143];
+ vX_[2274] = 0 - vX_[2161];
+ vX_[2275] = 0 - vX_[2250];
+ vX_[2276] = 0 - vX_[2255];
+ vX_[2277] = 0 - vX_[2143];
+ vX_[2278] = 0 - vX_[2161];
+ vX_[1955] = (vX_[1955] * vX_[728] + vX_[2275] * vX_[691] + vX_[2276] * vX_[624] + vX_[2277] * vX_[471] + vX_[2278] * vX_[629]) * 1 / vX_[578];
+ vX_[2279] = 0 - vX_[1955];
+ vX_[2280] = (vX_[2168] * vX_[728] + vX_[2271] * vX_[536] + vX_[2272] * vX_[472] + vX_[2273] * vX_[656] + vX_[2274] * vX_[590] + vX_[2279] * vX_[598]) * 1 / vX_[581];
+ vX_[2281] = 0 - vX_[2257];
+ vX_[2282] = 0 - vX_[2258];
+ vX_[2283] = 0 - vX_[1949];
+ vX_[2284] = 0 - vX_[2158];
+ vX_[2285] = 0 - vX_[2257];
+ vX_[2286] = 0 - vX_[2258];
+ vX_[2287] = 0 - vX_[1949];
+ vX_[2288] = 0 - vX_[2158];
+ vX_[2160] = (vX_[2160] * vX_[1018] + vX_[2285] * vX_[691] + vX_[2286] * vX_[624] + vX_[2287] * vX_[471] + vX_[2288] * vX_[629]) * 1 / vX_[578];
+ vX_[2289] = 0 - vX_[2160];
+ vX_[2290] = (vX_[2168] * vX_[1018] + vX_[2281] * vX_[536] + vX_[2282] * vX_[472] + vX_[2283] * vX_[656] + vX_[2284] * vX_[590] + vX_[2289] * vX_[598]) * 1 / vX_[581];
+ vX_[2252] = vX_[2129] * vX_[861] + vX_[2249] * vX_[694] + vX_[2128] * vX_[566] + vX_[2252] * vX_[645];
+ vX_[2128] = 0 - vX_[2252];
+ vX_[2253] = vX_[2139] * vX_[861] + vX_[2251] * vX_[694] + vX_[2256] * vX_[566] + vX_[2253] * vX_[645];
+ vX_[2256] = 0 - vX_[2253];
+ vX_[2138] = vX_[1995] * vX_[861] + vX_[2254] * vX_[694] + vX_[2259] * vX_[566] + vX_[2138] * vX_[645];
+ vX_[2259] = 0 - vX_[2138];
+ vX_[2254] = 0 - vX_[2260];
+ vX_[1995] = 0 - vX_[2252];
+ vX_[2251] = 0 - vX_[2253];
+ vX_[2139] = 0 - vX_[2138];
+ vX_[2249] = 0 - vX_[2260];
+ vX_[2163] = (vX_[2163] * vX_[1050] + vX_[1995] * vX_[691] + vX_[2251] * vX_[624] + vX_[2139] * vX_[471] + vX_[2249] * vX_[629]) * 1 / vX_[578];
+ vX_[2129] = 0 - vX_[2163];
+ vX_[2291] = (vX_[2168] * vX_[1050] + vX_[2128] * vX_[536] + vX_[2256] * vX_[472] + vX_[2259] * vX_[656] + vX_[2254] * vX_[590] + vX_[2129] * vX_[598]) * 1 / vX_[581];
+ vX_[1995] = vX_[2015] * vX_[922] + vX_[2265] * vX_[692] + vX_[2275] * vX_[564] + vX_[2285] * vX_[519] + vX_[1995] * vX_[630];
+ vX_[2285] = 0 - vX_[1995];
+ vX_[2251] = vX_[1993] * vX_[922] + vX_[2266] * vX_[692] + vX_[2276] * vX_[564] + vX_[2286] * vX_[519] + vX_[2251] * vX_[630];
+ vX_[2286] = 0 - vX_[2251];
+ vX_[2139] = vX_[2091] * vX_[922] + vX_[2267] * vX_[692] + vX_[2277] * vX_[564] + vX_[2287] * vX_[519] + vX_[2139] * vX_[630];
+ vX_[2287] = 0 - vX_[2139];
+ vX_[2249] = vX_[2193] * vX_[922] + vX_[2268] * vX_[692] + vX_[2278] * vX_[564] + vX_[2288] * vX_[519] + vX_[2249] * vX_[630];
+ vX_[2288] = 0 - vX_[2249];
+ vX_[2278] = 0 - vX_[2146] * vX_[922] - vX_[2144] * vX_[692] - vX_[1955] * vX_[564] - vX_[2160] * vX_[519] - vX_[2163] * vX_[630];
+ vX_[2268] = 0 - vX_[2278];
+ vX_[2168] = (vX_[2168] * vX_[1052] + vX_[2285] * vX_[536] + vX_[2286] * vX_[472] + vX_[2287] * vX_[656] + vX_[2288] * vX_[590] + vX_[2268] * vX_[598]) * 1 / vX_[581];
+ vX_[2193] = 0 - vX_[2187] * vX_[995] - vX_[2270] * vX_[686] - vX_[2280] * vX_[582] - vX_[2290] * vX_[552] - vX_[2291] * vX_[586] - vX_[2168] * vX_[599];
+ vX_[2277] = vX_[2260] - vX_[2193];
+ vX_[2267] = vX_[2163] + vX_[2249];
+ vX_[2091] = vX_[2277] * vX_[449] + vX_[2267] * vX_[447];
+ vX_[2276] = vX_[2278] - vX_[2193];
+ vX_[2266] = vX_[2276] * vX_[449];
+ vX_[1993] = vX_[2277] * vX_[435] + vX_[2267] * vX_[449];
+ vX_[2275] = vX_[2276] * vX_[447];
+ vX_[2265] = vX_[1993] + vX_[2275];
+ vX_[2015] = vX_[2091] * vX_[435] + vX_[2266] * vX_[447] + vX_[2265] * vX_[449];
+ vX_[2292] = 0 - vX_[2015];
+ vX_[2293] = vX_[2193] + vX_[1993] * vX_[435] + vX_[2266] * vX_[449];
+ vX_[2294] = 0 - vX_[2293];
+ vX_[2295] = vX_[2193] + vX_[2091] * vX_[449] + vX_[2275] * vX_[447];
+ vX_[2286] = vX_[2184] * vX_[995] + vX_[2262] * vX_[686] + vX_[2272] * vX_[582] + vX_[2282] * vX_[552] + vX_[2256] * vX_[586] + vX_[2286] * vX_[599];
+ vX_[2256] = vX_[2280] + vX_[2286];
+ vX_[2282] = vX_[2160] + vX_[2139] - vX_[2256];
+ vX_[2285] = vX_[2154] * vX_[995] + vX_[2261] * vX_[686] + vX_[2271] * vX_[582] + vX_[2281] * vX_[552] + vX_[2128] * vX_[586] + vX_[2285] * vX_[599];
+ vX_[2128] = vX_[2270] + vX_[2285];
+ vX_[2281] = 0 - (vX_[2158] + vX_[2138]) + vX_[2128];
+ vX_[2271] = (vX_[2128] * vX_[435] + vX_[2256] * vX_[449]) * -1;
+ vX_[2261] = 0 - (vX_[2282] * vX_[449] + vX_[2281] * vX_[447]) + vX_[2271];
+ vX_[2154] = vX_[2261] + vX_[2293] * vX_[436];
+ vX_[2272] = 0 - vX_[2154];
+ vX_[2262] = (vX_[2128] * vX_[449] + vX_[2256] * vX_[447]) * -1;
+ vX_[2184] = vX_[2282] * vX_[435] + vX_[2281] * vX_[449] + vX_[2262];
+ vX_[2296] = 0 - vX_[2295];
+ vX_[2297] = vX_[2184] + vX_[2015] * vX_[436] + vX_[2296] * vX_[355];
+ vX_[2298] = vX_[2161] + vX_[2253];
+ vX_[2299] = vX_[2118] + vX_[2252];
+ vX_[2300] = vX_[2298] * vX_[447] + vX_[2299] * vX_[449];
+ vX_[2301] = vX_[2144] + vX_[1995];
+ vX_[2302] = vX_[1955] + vX_[2251];
+ vX_[2303] = vX_[2301] * vX_[449] + vX_[2302] * vX_[447];
+ vX_[2304] = vX_[2300] * vX_[435] + vX_[2303] * vX_[449];
+ vX_[2268] = vX_[2219] * vX_[995] + vX_[2269] * vX_[686] + vX_[2279] * vX_[582] + vX_[2289] * vX_[552] + vX_[2129] * vX_[586] + vX_[2268] * vX_[599];
+ vX_[2129] = vX_[2168] + vX_[2268];
+ vX_[2288] = vX_[2216] * vX_[995] + vX_[2264] * vX_[686] + vX_[2274] * vX_[582] + vX_[2284] * vX_[552] + vX_[2254] * vX_[586] + vX_[2288] * vX_[599];
+ vX_[2254] = vX_[2291] + vX_[2288];
+ vX_[2284] = 0 - vX_[2254];
+ vX_[2274] = vX_[2129] * vX_[449] + vX_[2284] * vX_[447];
+ vX_[2264] = 0 - vX_[2274];
+ vX_[2216] = vX_[2304] + vX_[2264] * vX_[355] + vX_[2294] * vX_[451];
+ vX_[2289] = 0 - vX_[2216];
+ vX_[2279] = vX_[2298] * vX_[449] + vX_[2299] * vX_[435];
+ vX_[2269] = vX_[2301] * vX_[435] + vX_[2302] * vX_[449];
+ vX_[2219] = vX_[2279] * vX_[449] + vX_[2269] * vX_[447];
+ vX_[2254] = 0 - vX_[2254];
+ vX_[2305] = vX_[2129] * vX_[435] + vX_[2254] * vX_[449];
+ vX_[2306] = 0 - vX_[2305];
+ vX_[2307] = vX_[2219] + vX_[2306] * vX_[436] + vX_[2295] * vX_[451];
+ vX_[2308] = vX_[2279] * vX_[435] + vX_[2269] * vX_[449];
+ vX_[2309] = vX_[2308] + vX_[2274] * vX_[436];
+ vX_[2310] = vX_[2300] * vX_[449] + vX_[2303] * vX_[447];
+ vX_[2311] = vX_[2310] + vX_[2305] * vX_[355] + vX_[2292] * vX_[451];
+ vX_[2312] = 0 - vX_[2309] + vX_[2311];
+ vX_[2313] = 0 - vX_[2015];
+ vX_[2314] = 0 - vX_[2293];
+ vX_[2294] = vX_[2292] * vX_[573] + vX_[2294] * vX_[518] + vX_[2295] * vX_[414] + vX_[2272] * vX_[452] + vX_[2297] * vX_[463] + vX_[2289] * vX_[443] + vX_[2307] * vX_[437] + vX_[2312] * vX_[434] + vX_[2015] * vX_[567] + vX_[2313] * vX_[570] + vX_[2314] * vX_[517] + vX_[2295] * vX_[521];
+ vX_[2292] = 0 - vX_[2231];
+ vX_[2315] = vX_[2214] * -1 + vX_[2098] * -0.08;
+ vX_[2316] = vX_[2315] + vX_[2095] * -0.35;
+ vX_[2317] = vX_[2316] * 0.881 + (0 - vX_[2230]) * 0.1104774 + vX_[2234] * 0.0004405;
+ vX_[2318] = vX_[2228] * 0.00185880198235362 + vX_[2227] * 0.880992588508842 + vX_[2230] * -8.81e-05;
+ vX_[2319] = vX_[2292] * vX_[706] + vX_[2317] * vX_[635] + vX_[2318] * x_in[26];
+ vX_[2235] = 0 - vX_[2232] + vX_[2233] - vX_[2235];
+ vX_[2233] = 0 - vX_[2317];
+ vX_[2232] = vX_[2228] * 0.414812462825713 + vX_[2227] * 0.00185880198235362 + vX_[2234] * 8.81e-05;
+ vX_[2320] = vX_[2235] * vX_[706] + vX_[2233] * vX_[352] - vX_[2232] * x_in[26];
+ vX_[2321] = 0 - vX_[2238];
+ vX_[2322] = vX_[2315] * 3.146 + (0 - vX_[2095]) * 0.47422804 + vX_[2090] * -0.0825825;
+ vX_[2323] = vX_[2097] * vX_[411] + vX_[2101] * vX_[410] + vX_[2095] * vX_[387] + vX_[2090] * vX_[382];
+ vX_[2324] = vX_[2319] * vX_[357] + vX_[2320] * vX_[359] + vX_[2321] * vX_[628] + vX_[2322] * vX_[626] + vX_[2323] * x_in[25];
+ vX_[2240] = 0 - vX_[2239] + vX_[2240];
+ vX_[2239] = 0 - vX_[2322];
+ vX_[2325] = vX_[2097] * vX_[409] + vX_[2101] * vX_[411] + vX_[2095] * vX_[393] + vX_[2090] * vX_[392];
+ vX_[2326] = vX_[2319] * vX_[618] + vX_[2320] * vX_[357] + vX_[2240] * vX_[628] + vX_[2239] * vX_[651] - vX_[2325] * x_in[25];
+ vX_[2327] = vX_[2214] * -3.44;
+ vX_[2328] = vX_[2098] * 0.1466472;
+ vX_[2329] = vX_[2212] * 0.5824264;
+ vX_[2330] = 0 - vX_[2327] + vX_[2328] - vX_[2329];
+ vX_[2331] = 0 - vX_[2245];
+ vX_[2332] = vX_[2053] * vX_[463] + vX_[2214] * vX_[437] + vX_[2185] * vX_[434] + vX_[2215] * vX_[567] + vX_[2212] * vX_[515];
+ vX_[2333] = vX_[2324] * vX_[668] + vX_[2326] * vX_[383] + vX_[2330] * vX_[697] + vX_[2331] * vX_[704] - vX_[2332] * x_in[24];
+ vX_[2334] = vX_[2260] + vX_[2278] + vX_[2193] - vX_[2293] - vX_[2295];
+ vX_[2335] = 0 - vX_[2334];
+ vX_[2271] = vX_[2271] + vX_[2335] * vX_[436];
+ vX_[2262] = vX_[2262] + vX_[2334] * vX_[355];
+ vX_[2336] = 0 - vX_[2297];
+ vX_[2337] = 0 - vX_[2307];
+ vX_[2287] = vX_[2103] * vX_[995] + vX_[2263] * vX_[686] + vX_[2273] * vX_[582] + vX_[2283] * vX_[552] + vX_[2259] * vX_[586] + vX_[2287] * vX_[599];
+ vX_[2259] = vX_[2290] + vX_[2287] + vX_[2299] + vX_[2302] - vX_[2308] - vX_[2310];
+ vX_[2311] = vX_[2259] - vX_[2311];
+ vX_[2283] = 0 - vX_[2274];
+ vX_[2273] = 0 - vX_[2015];
+ vX_[2263] = 0 - vX_[2295];
+ vX_[2103] = vX_[2248] - vX_[1949];
+ vX_[2338] = vX_[2255] - vX_[1949];
+ vX_[2339] = vX_[2137] + vX_[2250];
+ vX_[2340] = vX_[2143] + vX_[2258];
+ vX_[2341] = vX_[2127] + vX_[2257];
+ vX_[2342] = 0 - vX_[2341];
+ vX_[2343] = vX_[2103] * vX_[449] + vX_[2339] * vX_[447];
+ vX_[2344] = vX_[2338] * vX_[449];
+ vX_[2345] = vX_[2103] * vX_[435] + vX_[2339] * vX_[449];
+ vX_[2346] = vX_[2338] * vX_[447];
+ vX_[2347] = vX_[2345] + vX_[2346];
+ vX_[2348] = vX_[2316] * 0.0004405 + vX_[2228] * -8.81e-05 + vX_[2234] * -0.000227999999999999;
+ vX_[2349] = vX_[2316] * 0.1104774 + vX_[2227] * -8.81e-05 + (0 - vX_[2230]) * 0.025713;
+ vX_[2350] = (0 - vX_[2228]) * 0.0004405;
+ vX_[2351] = (0 - vX_[2227]) * 0.1104774;
+ vX_[2352] = vX_[2350] + vX_[2351];
+ vX_[2352] = vX_[2292] * vX_[606] + vX_[2235] * vX_[234] + vX_[2348] * vX_[352] + vX_[2349] * vX_[635] + vX_[2352] * vX_[706] + vX_[2352] * vX_[706];
+ vX_[2235] = vX_[2315] * -0.0825825 + (0 - vX_[2100]) * 0.000102 + vX_[2095] * 0.007418 + vX_[2090] * 0.002735;
+ vX_[2292] = vX_[2315] * 0.47422804 + vX_[2100] * 2.1e-05 + (0 - vX_[2095]) * 0.084376 + (0 - vX_[2090]) * 0.007418;
+ vX_[2353] = (0 - vX_[2097]) * -0.0825825;
+ vX_[2354] = (0 - vX_[2101]) * 0.47422804;
+ vX_[2355] = vX_[2095] * 0.000102;
+ vX_[2356] = (0 - vX_[2090]) * 2.1e-05;
+ vX_[2357] = vX_[2353] + vX_[2354] + vX_[2355] + vX_[2356];
+ vX_[2357] = vX_[2352] + vX_[2319] * vX_[612] + vX_[2320] * vX_[362] + vX_[2321] * vX_[653] + vX_[2240] * vX_[649] + vX_[2235] * vX_[651] + vX_[2292] * vX_[626] + vX_[2357] * vX_[628] + vX_[2357] * vX_[628];
+ vX_[2240] = vX_[2214] * 0.5824264 + (0 - vX_[2098]) * -0.022734 + vX_[2215] * -3.6e-05 + vX_[2212] * -0.133138;
+ vX_[2321] = vX_[2214] * 0.1466472 + vX_[2098] * 0.009466 + (0 - vX_[2215]) * -5.1e-05 + vX_[2212] * -0.022734;
+ vX_[2358] = (0 - vX_[2053]) * 0.5824264;
+ vX_[2359] = (0 - vX_[2185]) * 0.1466472;
+ vX_[2360] = (0 - vX_[2098]) * -3.6e-05;
+ vX_[2361] = (0 - vX_[2212]) * -5.1e-05;
+ vX_[2362] = vX_[2358] + vX_[2359] + vX_[2360] - vX_[2361];
+ vX_[2363] = vX_[2053] * vX_[468] + vX_[2214] * vX_[515] + vX_[2185] * vX_[570] + vX_[2215] * vX_[569] + vX_[2212] * vX_[431];
+ vX_[2362] = vX_[2324] * vX_[662] + vX_[2326] * vX_[401] + vX_[2357] * -1 + vX_[2243] * vX_[702] + vX_[2331] * vX_[690] + vX_[2240] * vX_[697] + vX_[2321] * vX_[664] + vX_[2362] * vX_[704] + vX_[2362] * vX_[704] + vX_[2363] * x_in[24];
+ vX_[2229] = vX_[2228] * 0.1104774 + vX_[2227] * 0.0004405 + vX_[2229] * 0.025941;
+ vX_[2331] = (0 - vX_[2316]) * -8.81e-05;
+ vX_[2351] = vX_[2331] + vX_[2351];
+ vX_[2234] = vX_[2316] * 0.0004405 + vX_[2228] * 8.81e-05 + vX_[2234] * 0.000468;
+ vX_[2351] = vX_[2231] * vX_[731] + vX_[2233] * vX_[234] + vX_[2348] * vX_[706] + vX_[2229] * vX_[635] + vX_[2351] * vX_[352] + vX_[2351] * vX_[352] + vX_[2234] * x_in[26];
+ vX_[2331] = vX_[2331] + vX_[2350];
+ vX_[2316] = vX_[2316] * -0.1104774 + vX_[2227] * -8.81e-05 + vX_[2230] * 0.026409;
+ jac[963] = vX_[2232] * vX_[737] + vX_[2318] * vX_[606] + vX_[2316] * vX_[709] + vX_[2234] * vX_[352] + vX_[2352];
+ vX_[2316] = vX_[2236] * vX_[731] + vX_[2317] * vX_[606] + vX_[2349] * vX_[706] + vX_[2229] * vX_[352] + vX_[2331] * vX_[635] + vX_[2331] * vX_[635] - vX_[2316] * x_in[26];
+ vX_[2331] = vX_[2097] * 0.47422804 + vX_[2101] * -0.0825825 + vX_[2100] * 0.081641 + (0 - vX_[2095]) * 2.1e-05 + vX_[2090] * 0.000102;
+ vX_[2229] = (0 - vX_[2100]) * 0.007418;
+ vX_[2356] = vX_[2354] + vX_[2229] - vX_[2356];
+ vX_[2354] = vX_[2315] * vX_[377] + vX_[2097] * vX_[392] + vX_[2101] * vX_[382] + vX_[2095] * vX_[426] + vX_[2090] * vX_[422];
+ vX_[2356] = vX_[2237] * -0.35 + vX_[2351] * vX_[357] + vX_[2316] * vX_[359] + vX_[2238] * vX_[730] + vX_[2239] * vX_[649] + vX_[2235] * vX_[628] + vX_[2331] * vX_[626] + vX_[2356] * vX_[651] + vX_[2356] * vX_[651] + vX_[2354] * x_in[25];
+ vX_[2229] = vX_[2353] - vX_[2229] - vX_[2355];
+ vX_[2355] = vX_[2315] * vX_[389] + vX_[2097] * vX_[393] + vX_[2101] * vX_[387] + vX_[2095] * vX_[420] + vX_[2090] * vX_[426];
+ jac[927] = vX_[2325] * vX_[739] + vX_[2323] * vX_[653] + vX_[2355] * vX_[715] + vX_[2354] * vX_[651] + vX_[2357];
+ vX_[2355] = vX_[2351] * vX_[360] + vX_[2316] * vX_[357] + vX_[2241] * vX_[730] + vX_[2322] * vX_[653] + vX_[2292] * vX_[628] + vX_[2331] * vX_[651] + vX_[2229] * vX_[626] + vX_[2229] * vX_[626] - vX_[2355] * x_in[25];
+ vX_[2329] = vX_[2327] - vX_[2328] + vX_[2329];
+ vX_[2328] = vX_[2053] * 0.1466472 + vX_[2185] * 0.5824264 + vX_[2098] * -5.1e-05 + (0 - vX_[2215]) * -0.123672 + (0 - vX_[2212]) * -3.6e-05;
+ vX_[2327] = vX_[2215] * -0.022734;
+ vX_[2360] = vX_[2358] - vX_[2360] - vX_[2327];
+ vX_[2358] = vX_[2053] * vX_[405] + vX_[2214] * vX_[567] + vX_[2185] * vX_[516] + vX_[2215] * vX_[514] + vX_[2212] * vX_[569];
+ vX_[2360] = vX_[2356] * vX_[395] + vX_[2355] * vX_[383] + vX_[2329] * vX_[702] + vX_[2245] * vX_[725] + vX_[2328] * vX_[697] + vX_[2321] * vX_[704] + vX_[2360] * vX_[664] + vX_[2360] * vX_[664] - vX_[2358] * x_in[24];
+ vX_[2321] = 0 - vX_[2271];
+ vX_[2245] = 0 - vX_[2262];
+ vX_[2259] = 0 - vX_[2259] + vX_[2309];
+ vX_[2309] = 0 - vX_[2305];
+ vX_[2341] = 0 - vX_[2341];
+ jac[243] = 0 - (0 - (vX_[2045] * vX_[718] + vX_[2247] * x_in[22]) + (vX_[2162] * vX_[718] + vX_[2294] * vX_[449] + vX_[2247] * x_in[20]) * -0.3735 - (vX_[2067] * vX_[949] + vX_[2333] * x_in[23]) + (vX_[2146] * vX_[949] + vX_[2333] * x_in[19]) * 0.3735 + (vX_[2187] * vX_[949] + (vX_[2264] * vX_[518] + vX_[2305] * vX_[573] + vX_[2334] * vX_[462] + vX_[2296] * vX_[464] + vX_[2271] * vX_[434] + vX_[2262] * vX_[443] + vX_[2336] * vX_[446] + vX_[2337] * vX_[463] + vX_[2311] * vX_[452] + vX_[2283] * vX_[516] + vX_[2305] * vX_[570] + vX_[2273] * vX_[405] + vX_[2263] * vX_[523]) * -1 + vX_[2333] * x_in[18]) * -0.207 - (vX_[2162] * vX_[688] + vX_[2146] * vX_[747] + vX_[2103] * vX_[681] + vX_[2338] * vX_[679] + vX_[2339] * vX_[677] + vX_[2340] * vX_[654] + vX_[2342] * vX_[452] + vX_[2343] * vX_[658] + vX_[2344] * vX_[657] + vX_[2347] * vX_[434] + vX_[2298] * vX_[643] + vX_[2301] * vX_[623] + vX_[2128] * vX_[470] + vX_[2256] * vX_[460] + vX_[2299] * vX_[642] + vX_[2302] * vX_[620] + vX_[2279] * vX_[619] + vX_[2300] * vX_[621] + vX_[2269] * vX_[572] + vX_[2303] * vX_[622] + vX_[2282] * vX_[459] + vX_[2281] * vX_[469] + vX_[2277] * vX_[579] + vX_[2276] * vX_[577] + vX_[2267] * vX_[575] + vX_[2129] * vX_[596] + vX_[2254] * vX_[597] + vX_[2091] * vX_[524] + vX_[2266] * vX_[520] + vX_[2265] * vX_[574] + vX_[2294] * vX_[450] + vX_[2362] * x_in[19] + vX_[2360] * x_in[20])) * vX_[1083] + (vX_[2067] * vX_[718] + vX_[2162] * vX_[747] + vX_[2103] * vX_[677] + vX_[2340] * vX_[452] + vX_[2345] * vX_[657] + vX_[2343] * vX_[434] + vX_[2301] * vX_[620] + vX_[2128] * vX_[460] + vX_[2299] * vX_[643] + vX_[2279] * vX_[572] + vX_[2300] * vX_[622] + vX_[2282] * vX_[469] + vX_[2277] * vX_[575] + vX_[2129] * vX_[597] + vX_[1993] * vX_[520] + vX_[2091] * vX_[574] + (vX_[2274] * vX_[571] + vX_[2306] * vX_[414] + vX_[2015] * vX_[464] + vX_[2335] * vX_[438] + vX_[2293] * vX_[453] + vX_[2321] * vX_[437] + vX_[2154] * vX_[446] + vX_[2245] * vX_[434] + vX_[2216] * vX_[452] + vX_[2259] * vX_[463] + vX_[2274] * vX_[567] + vX_[2309] * vX_[515] + vX_[2015] * vX_[468] + vX_[2293] * vX_[512]) * 0.207 + vX_[2247] * x_in[23] + vX_[2362] * x_in[20] + (vX_[2146] * vX_[718] + vX_[2294] * vX_[447] + vX_[2247] * x_in[19]) * -0.3735 + (vX_[2187] * vX_[718] + vX_[2247] * x_in[18]) * 0.207 - (vX_[2045] * vX_[949] + vX_[2333] * x_in[22]) + (vX_[2162] * vX_[949] + vX_[2333] * x_in[20]) * -0.3735 - (vX_[2146] * vX_[688] + vX_[2338] * vX_[678] + vX_[2339] * vX_[681] + vX_[2341] * vX_[654] + vX_[2344] * vX_[434] + vX_[2346] * vX_[658] + vX_[2298] * vX_[642] + vX_[2256] * vX_[470] + vX_[2302] * vX_[623] + vX_[2269] * vX_[619] + vX_[2303] * vX_[621] + vX_[2281] * vX_[459] + vX_[2276] * vX_[576] + vX_[2267] * vX_[579] + vX_[2284] * vX_[596] + vX_[2266] * vX_[574] + vX_[2275] * vX_[524] + vX_[2294] * vX_[448] + vX_[2360] * x_in[19])) * vX_[1093];
+ vX_[2339] = 1 / vX_[262];
+ vX_[2338] = 0 - vX_[2339];
+ vX_[2103] = vX_[2338] * vX_[269];
+ vX_[2335] = 0 - vX_[2339];
+ vX_[2334] = vX_[2335] * vX_[250];
+ vX_[2294] = vX_[2103] * vX_[266] + vX_[2334] * vX_[238];
+ vX_[2306] = vX_[2294] * 1 / vX_[313];
+ vX_[2254] = 0 - vX_[2306];
+ vX_[2269] = vX_[2254] * vX_[287];
+ vX_[2279] = 0 - vX_[2339];
+ vX_[2264] = vX_[2279] * vX_[273];
+ vX_[2284] = 0 - vX_[2339];
+ vX_[2129] = vX_[2284] * vX_[260];
+ vX_[2303] = 0 - vX_[2306];
+ vX_[2302] = vX_[2264] * vX_[237] + vX_[2129] * vX_[265] + vX_[2303] * vX_[278];
+ vX_[2301] = 0 - vX_[2306];
+ vX_[2294] = vX_[2294] + vX_[2301] * vX_[313] + vX_[2269] * vX_[935] + vX_[2302] * vX_[236];
+ vX_[2300] = 0 - vX_[2339];
+ vX_[2299] = 0 - vX_[2306];
+ vX_[2298] = vX_[2300] * vX_[262] + vX_[2264] * vX_[968] + vX_[2129] * vX_[283] + vX_[2299] * vX_[338];
+ vX_[2296] = 0 - vX_[2306];
+ vX_[2281] = vX_[2103] * vX_[238] + vX_[2334] * vX_[265] + vX_[2296] * vX_[347];
+ vX_[2128] = 0 - (vX_[2269] * vX_[328] + vX_[2302] * vX_[955] + vX_[2298] * vX_[235] + vX_[2281] * vX_[316]) + vX_[2294] * vX_[599];
+ vX_[2282] = 0 - vX_[2128];
+ vX_[2256] = 0 - vX_[2306];
+ vX_[2265] = vX_[2264] * vX_[967] + vX_[2129] * vX_[953] + vX_[2256] * vX_[325];
+ vX_[2275] = 0 - vX_[2128];
+ vX_[1993] = 0 - (vX_[2265] * 0.207 + vX_[2269] * vX_[330] + vX_[2302] * vX_[954] + vX_[2298] * vX_[316] + vX_[2281] * vX_[329]) + vX_[2294] * vX_[586] + vX_[2275] * vX_[630];
+ vX_[2266] = 0 - vX_[1993];
+ vX_[2276] = 0 - vX_[2128];
+ vX_[2091] = 0 - vX_[1993];
+ vX_[2265] = 0 - vX_[2265] + vX_[2294] * vX_[552] + vX_[2276] * vX_[519] + vX_[2091] * vX_[645];
+ vX_[2267] = 0 - vX_[2265];
+ vX_[2277] = 0 - (vX_[2269] * vX_[235] + vX_[2302] * vX_[316]) + vX_[2294] * vX_[582] + vX_[2282] * vX_[564] + vX_[2266] * vX_[566] + vX_[2267] * vX_[684];
+ vX_[2229] = 0 - vX_[2128];
+ vX_[2331] = 0 - vX_[1993];
+ vX_[2292] = 0 - vX_[2265];
+ vX_[2322] = 0 - vX_[2277];
+ vX_[2241] = (0 - (vX_[2269] * vX_[316] + vX_[2302] * vX_[956]) + vX_[2294] * vX_[686] + vX_[2229] * vX_[692] + vX_[2331] * vX_[694] + vX_[2292] * vX_[700] + vX_[2322] * vX_[674]) * 1 / vX_[682];
+ vX_[2354] = 0 - vX_[2241];
+ vX_[2277] = (vX_[2277] + vX_[2354] * vX_[705]) * 1 / vX_[680];
+ vX_[2357] = 0 - vX_[2241];
+ vX_[2325] = 0 - vX_[2277];
+ vX_[2265] = (vX_[2265] + vX_[2357] * vX_[699] + vX_[2325] * vX_[655]) * 1 / vX_[683];
+ vX_[2323] = 0 - vX_[2241];
+ vX_[2353] = 0 - vX_[2277];
+ vX_[2235] = 0 - vX_[2265];
+ vX_[1993] = (vX_[1993] + vX_[2323] * vX_[595] + vX_[2353] * vX_[644] + vX_[2235] * vX_[550]) * 1 / vX_[580];
+ vX_[2239] = vX_[2265] * -1 + vX_[1993] * 0.207;
+ vX_[2238] = 0 - vX_[2241];
+ vX_[2237] = 0 - vX_[2277];
+ vX_[2349] = 0 - vX_[2265];
+ vX_[2317] = 0 - vX_[1993];
+ vX_[2128] = (vX_[2128] + vX_[2238] * vX_[691] + vX_[2237] * vX_[624] + vX_[2349] * vX_[471] + vX_[2317] * vX_[629]) * 1 / vX_[578];
+ vX_[2236] = 0 - vX_[2241];
+ vX_[2234] = 0 - vX_[2277];
+ vX_[2352] = 0 - vX_[2265];
+ vX_[2232] = 0 - vX_[1993];
+ vX_[2318] = 0 - vX_[2128];
+ vX_[2230] = (0 - vX_[2294] + vX_[2236] * vX_[536] + vX_[2234] * vX_[472] + vX_[2352] * vX_[656] + vX_[2232] * vX_[590] + vX_[2318] * vX_[598]) * 1 / vX_[581];
+ vX_[2227] = vX_[2241] * vX_[583] + vX_[2277] * vX_[587] + vX_[1993] * vX_[696] + vX_[2128] * vX_[591] + vX_[2230] * vX_[354];
+ vX_[2350] = vX_[1993] * vX_[435] + vX_[2128] * vX_[449];
+ vX_[2348] = vX_[2239] * vX_[383] + vX_[2227] * vX_[668] + vX_[2350] * vX_[662];
+ vX_[2233] = vX_[2239] * vX_[356] + vX_[2227] * vX_[383] + vX_[2350] * vX_[401];
+ vX_[2231] = vX_[2350] * -1;
+ vX_[2228] = vX_[2348] * 1 / vX_[380];
+ vX_[2364] = vX_[2233] * 1 / vX_[380];
+ vX_[2365] = vX_[2231] * 1 / vX_[380];
+ vX_[2366] = vX_[2230] * -1;
+ vX_[2367] = vX_[2239] * 1 / vX_[432];
+ vX_[2368] = vX_[2241] * vX_[435] + vX_[2277] * vX_[353] + vX_[1993] * vX_[450] + vX_[2128] * vX_[448] + vX_[2230] * vX_[724];
+ vX_[2369] = vX_[2368] * 1 / vX_[432];
+ vX_[2370] = vX_[2227] * 1 / vX_[432];
+ vX_[2371] = vX_[2366] * 1 / vX_[432];
+ vX_[2372] = vX_[2350] * 1 / vX_[432];
+ vX_[2373] = vX_[1993] * vX_[449] + vX_[2128] * vX_[447];
+ vX_[2374] = vX_[2373] * 1 / vX_[432];
+ vX_[2366] = vX_[2366] - (vX_[2367] * vX_[444] + vX_[2369] * vX_[406] + vX_[2370] * vX_[396] + vX_[2371] * vX_[432] + vX_[2372] * vX_[458] + vX_[2374] * vX_[467]);
+ vX_[2375] = vX_[2366] * vX_[383] + vX_[2373] * vX_[395];
+ vX_[2376] = vX_[2375] * 1 / vX_[380];
+ vX_[2377] = vX_[2366] * vX_[356] + vX_[2373] * vX_[383];
+ vX_[2378] = vX_[2377] * 1 / vX_[380];
+ vX_[2231] = vX_[2231] - (vX_[2228] * vX_[390] + vX_[2364] * vX_[378] + vX_[2365] * vX_[380] + vX_[2376] * vX_[386] + vX_[2378] * vX_[368]);
+ vX_[2379] = vX_[2348] * vX_[359] + vX_[2233] * vX_[357] + vX_[2231] * vX_[362];
+ vX_[2380] = vX_[2348] * vX_[357] + vX_[2233] * vX_[618] + vX_[2231] * vX_[612];
+ vX_[2381] = vX_[2231] - (vX_[2380] * 38.1956380581338 * 0.1104774 + vX_[2379] * 38.1956380581338 * -0.0004405 + vX_[2231] * 38.1956380581338 * 0.026181);
+ vX_[2382] = vX_[2375] * vX_[357] + vX_[2377] * vX_[360];
+ vX_[2383] = vX_[2379] * 0.881 + (0 - vX_[2381]) * 0.0004405 + vX_[2382] * -8.81e-05;
+ vX_[2384] = vX_[2380] * -0.881;
+ vX_[2385] = vX_[2381] * 0.1104774;
+ vX_[2386] = vX_[2375] * vX_[359] + vX_[2377] * vX_[357];
+ vX_[2387] = vX_[2386] * -8.81e-05;
+ vX_[2388] = vX_[2384] - vX_[2385] + vX_[2387];
+ vX_[2389] = vX_[2383] * vX_[352] + vX_[2388] * vX_[635];
+ vX_[2390] = vX_[2233] * 3.146 + (0 - vX_[2231]) * -0.0825825;
+ vX_[2391] = vX_[2348] * -3.146;
+ vX_[2392] = vX_[2231] * 0.47422804;
+ vX_[2393] = vX_[2391] - vX_[2392];
+ vX_[2394] = vX_[2389] + vX_[2390] * vX_[651] + vX_[2393] * vX_[626];
+ vX_[2395] = vX_[2227] * 3.44 + vX_[2350] * 0.5824264;
+ vX_[2396] = 0 - vX_[2395];
+ vX_[2397] = vX_[2239] * 3.44 + (0 - vX_[2350]) * 0.1466472;
+ vX_[2398] = vX_[2239] * vX_[452] + vX_[2368] * vX_[434] + vX_[2227] * vX_[443] + vX_[2350] * vX_[516] + vX_[2373] * vX_[570];
+ vX_[2399] = vX_[2394] * -1 + vX_[2396] * vX_[697] + vX_[2397] * vX_[664] + vX_[2398] * x_in[24];
+ vX_[2400] = 0 - vX_[2241] * vX_[1014];
+ vX_[2401] = 0 - vX_[2400];
+ vX_[2402] = 0 - vX_[2400];
+ vX_[2322] = (vX_[2322] * vX_[1014] + vX_[2402] * vX_[705]) * 1 / vX_[680];
+ vX_[2403] = 0 - vX_[2322];
+ vX_[2404] = 0 - vX_[2400];
+ vX_[2405] = 0 - vX_[2322];
+ vX_[2292] = (vX_[2292] * vX_[1014] + vX_[2404] * vX_[699] + vX_[2405] * vX_[655]) * 1 / vX_[683];
+ vX_[2406] = 0 - vX_[2292];
+ vX_[2331] = (vX_[2331] * vX_[1014] + vX_[2401] * vX_[595] + vX_[2403] * vX_[644] + vX_[2406] * vX_[550]) * 1 / vX_[580];
+ vX_[2402] = vX_[2354] * vX_[703] + vX_[2402] * vX_[674];
+ vX_[2354] = 0 - vX_[2402];
+ vX_[2407] = 0 - vX_[2277] * vX_[703] - vX_[2322] * vX_[674];
+ vX_[2408] = 0 - vX_[2407];
+ vX_[2409] = 0 - vX_[2402];
+ vX_[2410] = 0 - vX_[2407];
+ vX_[2267] = (vX_[2267] * vX_[728] + vX_[2409] * vX_[699] + vX_[2410] * vX_[655]) * 1 / vX_[683];
+ vX_[2411] = 0 - vX_[2267];
+ vX_[2266] = (vX_[2266] * vX_[728] + vX_[2354] * vX_[595] + vX_[2408] * vX_[644] + vX_[2411] * vX_[550]) * 1 / vX_[580];
+ vX_[2409] = vX_[2357] * vX_[1016] + vX_[2404] * vX_[700] + vX_[2409] * vX_[684];
+ vX_[2404] = 0 - vX_[2409];
+ vX_[2410] = vX_[2325] * vX_[1016] + vX_[2405] * vX_[700] + vX_[2410] * vX_[684];
+ vX_[2405] = 0 - vX_[2410];
+ vX_[2325] = 0 - vX_[2265] * vX_[1016] - vX_[2292] * vX_[700] - vX_[2267] * vX_[684];
+ vX_[2357] = 0 - vX_[2325];
+ vX_[2091] = (vX_[2091] * vX_[1018] + vX_[2404] * vX_[595] + vX_[2405] * vX_[644] + vX_[2357] * vX_[550]) * 1 / vX_[580];
+ vX_[2412] = 0 - vX_[1993] * vX_[861] - vX_[2331] * vX_[694] - vX_[2266] * vX_[566] - vX_[2091] * vX_[645];
+ vX_[2413] = 0 - vX_[2400];
+ vX_[2414] = 0 - vX_[2322];
+ vX_[2415] = 0 - vX_[2292];
+ vX_[2416] = 0 - vX_[2331];
+ vX_[2417] = 0 - vX_[2400];
+ vX_[2418] = 0 - vX_[2322];
+ vX_[2419] = 0 - vX_[2292];
+ vX_[2420] = 0 - vX_[2331];
+ vX_[2229] = (vX_[2229] * vX_[1014] + vX_[2417] * vX_[691] + vX_[2418] * vX_[624] + vX_[2419] * vX_[471] + vX_[2420] * vX_[629]) * 1 / vX_[578];
+ vX_[2421] = 0 - vX_[2229];
+ vX_[2422] = (vX_[2294] * vX_[1014] + vX_[2413] * vX_[536] + vX_[2414] * vX_[472] + vX_[2415] * vX_[656] + vX_[2416] * vX_[590] + vX_[2421] * vX_[598]) * 1 / vX_[581];
+ vX_[2423] = 0 - vX_[2402];
+ vX_[2424] = 0 - vX_[2407];
+ vX_[2425] = 0 - vX_[2267];
+ vX_[2426] = 0 - vX_[2266];
+ vX_[2427] = 0 - vX_[2402];
+ vX_[2428] = 0 - vX_[2407];
+ vX_[2429] = 0 - vX_[2267];
+ vX_[2430] = 0 - vX_[2266];
+ vX_[2282] = (vX_[2282] * vX_[728] + vX_[2427] * vX_[691] + vX_[2428] * vX_[624] + vX_[2429] * vX_[471] + vX_[2430] * vX_[629]) * 1 / vX_[578];
+ vX_[2431] = 0 - vX_[2282];
+ vX_[2432] = (vX_[2294] * vX_[728] + vX_[2423] * vX_[536] + vX_[2424] * vX_[472] + vX_[2425] * vX_[656] + vX_[2426] * vX_[590] + vX_[2431] * vX_[598]) * 1 / vX_[581];
+ vX_[2433] = 0 - vX_[2409];
+ vX_[2434] = 0 - vX_[2410];
+ vX_[2435] = 0 - vX_[2325];
+ vX_[2436] = 0 - vX_[2091];
+ vX_[2437] = 0 - vX_[2409];
+ vX_[2438] = 0 - vX_[2410];
+ vX_[2439] = 0 - vX_[2325];
+ vX_[2440] = 0 - vX_[2091];
+ vX_[2276] = (vX_[2276] * vX_[1018] + vX_[2437] * vX_[691] + vX_[2438] * vX_[624] + vX_[2439] * vX_[471] + vX_[2440] * vX_[629]) * 1 / vX_[578];
+ vX_[2441] = 0 - vX_[2276];
+ vX_[2442] = (vX_[2294] * vX_[1018] + vX_[2433] * vX_[536] + vX_[2434] * vX_[472] + vX_[2435] * vX_[656] + vX_[2436] * vX_[590] + vX_[2441] * vX_[598]) * 1 / vX_[581];
+ vX_[2404] = vX_[2323] * vX_[861] + vX_[2401] * vX_[694] + vX_[2354] * vX_[566] + vX_[2404] * vX_[645];
+ vX_[2354] = 0 - vX_[2404];
+ vX_[2405] = vX_[2353] * vX_[861] + vX_[2403] * vX_[694] + vX_[2408] * vX_[566] + vX_[2405] * vX_[645];
+ vX_[2408] = 0 - vX_[2405];
+ vX_[2357] = vX_[2235] * vX_[861] + vX_[2406] * vX_[694] + vX_[2411] * vX_[566] + vX_[2357] * vX_[645];
+ vX_[2411] = 0 - vX_[2357];
+ vX_[2406] = 0 - vX_[2412];
+ vX_[2235] = 0 - vX_[2404];
+ vX_[2403] = 0 - vX_[2405];
+ vX_[2353] = 0 - vX_[2357];
+ vX_[2401] = 0 - vX_[2412];
+ vX_[2275] = (vX_[2275] * vX_[1050] + vX_[2235] * vX_[691] + vX_[2403] * vX_[624] + vX_[2353] * vX_[471] + vX_[2401] * vX_[629]) * 1 / vX_[578];
+ vX_[2323] = 0 - vX_[2275];
+ vX_[2443] = (vX_[2294] * vX_[1050] + vX_[2354] * vX_[536] + vX_[2408] * vX_[472] + vX_[2411] * vX_[656] + vX_[2406] * vX_[590] + vX_[2323] * vX_[598]) * 1 / vX_[581];
+ vX_[2235] = vX_[2238] * vX_[922] + vX_[2417] * vX_[692] + vX_[2427] * vX_[564] + vX_[2437] * vX_[519] + vX_[2235] * vX_[630];
+ vX_[2437] = 0 - vX_[2235];
+ vX_[2403] = vX_[2237] * vX_[922] + vX_[2418] * vX_[692] + vX_[2428] * vX_[564] + vX_[2438] * vX_[519] + vX_[2403] * vX_[630];
+ vX_[2438] = 0 - vX_[2403];
+ vX_[2353] = vX_[2349] * vX_[922] + vX_[2419] * vX_[692] + vX_[2429] * vX_[564] + vX_[2439] * vX_[519] + vX_[2353] * vX_[630];
+ vX_[2439] = 0 - vX_[2353];
+ vX_[2401] = vX_[2317] * vX_[922] + vX_[2420] * vX_[692] + vX_[2430] * vX_[564] + vX_[2440] * vX_[519] + vX_[2401] * vX_[630];
+ vX_[2440] = 0 - vX_[2401];
+ vX_[2430] = 0 - vX_[2128] * vX_[922] - vX_[2229] * vX_[692] - vX_[2282] * vX_[564] - vX_[2276] * vX_[519] - vX_[2275] * vX_[630];
+ vX_[2420] = 0 - vX_[2430];
+ vX_[2294] = (vX_[2294] * vX_[1052] + vX_[2437] * vX_[536] + vX_[2438] * vX_[472] + vX_[2439] * vX_[656] + vX_[2440] * vX_[590] + vX_[2420] * vX_[598]) * 1 / vX_[581];
+ vX_[2317] = 0 - vX_[2230] * vX_[995] - vX_[2422] * vX_[686] - vX_[2432] * vX_[582] - vX_[2442] * vX_[552] - vX_[2443] * vX_[586] - vX_[2294] * vX_[599];
+ vX_[2429] = vX_[2412] - vX_[2317];
+ vX_[2419] = vX_[2275] + vX_[2401];
+ vX_[2349] = vX_[2429] * vX_[449] + vX_[2419] * vX_[447];
+ vX_[2428] = vX_[2430] - vX_[2317];
+ vX_[2418] = vX_[2428] * vX_[449];
+ vX_[2237] = vX_[2429] * vX_[435] + vX_[2419] * vX_[449];
+ vX_[2427] = vX_[2428] * vX_[447];
+ vX_[2417] = vX_[2237] + vX_[2427];
+ vX_[2238] = vX_[2349] * vX_[435] + vX_[2418] * vX_[447] + vX_[2417] * vX_[449];
+ vX_[2444] = 0 - vX_[2238];
+ vX_[2445] = vX_[2317] + vX_[2237] * vX_[435] + vX_[2418] * vX_[449];
+ vX_[2446] = 0 - vX_[2445];
+ vX_[2447] = vX_[2317] + vX_[2349] * vX_[449] + vX_[2427] * vX_[447];
+ vX_[2438] = vX_[2234] * vX_[995] + vX_[2414] * vX_[686] + vX_[2424] * vX_[582] + vX_[2434] * vX_[552] + vX_[2408] * vX_[586] + vX_[2438] * vX_[599];
+ vX_[2408] = vX_[2432] + vX_[2438];
+ vX_[2434] = vX_[2276] + vX_[2353] - vX_[2408];
+ vX_[2437] = vX_[2236] * vX_[995] + vX_[2413] * vX_[686] + vX_[2423] * vX_[582] + vX_[2433] * vX_[552] + vX_[2354] * vX_[586] + vX_[2437] * vX_[599];
+ vX_[2354] = vX_[2422] + vX_[2437];
+ vX_[2433] = 0 - (vX_[2091] + vX_[2357]) + vX_[2354];
+ vX_[2423] = (vX_[2354] * vX_[435] + vX_[2408] * vX_[449]) * -1;
+ vX_[2413] = 0 - (vX_[2434] * vX_[449] + vX_[2433] * vX_[447]) + vX_[2423];
+ vX_[2236] = vX_[2413] + vX_[2445] * vX_[436];
+ vX_[2424] = 0 - vX_[2236];
+ vX_[2414] = (vX_[2354] * vX_[449] + vX_[2408] * vX_[447]) * -1;
+ vX_[2234] = vX_[2434] * vX_[435] + vX_[2433] * vX_[449] + vX_[2414];
+ vX_[2448] = 0 - vX_[2447];
+ vX_[2449] = vX_[2234] + vX_[2238] * vX_[436] + vX_[2448] * vX_[355];
+ vX_[2450] = vX_[2266] + vX_[2405];
+ vX_[2451] = vX_[2331] + vX_[2404];
+ vX_[2452] = vX_[2450] * vX_[447] + vX_[2451] * vX_[449];
+ vX_[2453] = vX_[2229] + vX_[2235];
+ vX_[2454] = vX_[2282] + vX_[2403];
+ vX_[2455] = vX_[2453] * vX_[449] + vX_[2454] * vX_[447];
+ vX_[2456] = vX_[2452] * vX_[435] + vX_[2455] * vX_[449];
+ vX_[2420] = vX_[2318] * vX_[995] + vX_[2421] * vX_[686] + vX_[2431] * vX_[582] + vX_[2441] * vX_[552] + vX_[2323] * vX_[586] + vX_[2420] * vX_[599];
+ vX_[2323] = vX_[2294] + vX_[2420];
+ vX_[2440] = vX_[2232] * vX_[995] + vX_[2416] * vX_[686] + vX_[2426] * vX_[582] + vX_[2436] * vX_[552] + vX_[2406] * vX_[586] + vX_[2440] * vX_[599];
+ vX_[2406] = vX_[2443] + vX_[2440];
+ vX_[2436] = 0 - vX_[2406];
+ vX_[2426] = vX_[2323] * vX_[449] + vX_[2436] * vX_[447];
+ vX_[2416] = 0 - vX_[2426];
+ vX_[2232] = vX_[2456] + vX_[2416] * vX_[355] + vX_[2446] * vX_[451];
+ vX_[2441] = 0 - vX_[2232];
+ vX_[2431] = vX_[2450] * vX_[449] + vX_[2451] * vX_[435];
+ vX_[2421] = vX_[2453] * vX_[435] + vX_[2454] * vX_[449];
+ vX_[2318] = vX_[2431] * vX_[449] + vX_[2421] * vX_[447];
+ vX_[2406] = 0 - vX_[2406];
+ vX_[2457] = vX_[2323] * vX_[435] + vX_[2406] * vX_[449];
+ vX_[2458] = 0 - vX_[2457];
+ vX_[2459] = vX_[2318] + vX_[2458] * vX_[436] + vX_[2447] * vX_[451];
+ vX_[2460] = vX_[2431] * vX_[435] + vX_[2421] * vX_[449];
+ vX_[2461] = vX_[2460] + vX_[2426] * vX_[436];
+ vX_[2462] = vX_[2452] * vX_[449] + vX_[2455] * vX_[447];
+ vX_[2463] = vX_[2462] + vX_[2457] * vX_[355] + vX_[2444] * vX_[451];
+ vX_[2464] = 0 - vX_[2461] + vX_[2463];
+ vX_[2465] = 0 - vX_[2238];
+ vX_[2466] = 0 - vX_[2445];
+ vX_[2446] = vX_[2444] * vX_[573] + vX_[2446] * vX_[518] + vX_[2447] * vX_[414] + vX_[2424] * vX_[452] + vX_[2449] * vX_[463] + vX_[2441] * vX_[443] + vX_[2459] * vX_[437] + vX_[2464] * vX_[434] + vX_[2238] * vX_[567] + vX_[2465] * vX_[570] + vX_[2466] * vX_[517] + vX_[2447] * vX_[521];
+ vX_[2444] = 0 - vX_[2383];
+ vX_[2467] = vX_[2368] * -1 + vX_[2366] * -0.08;
+ vX_[2468] = vX_[2467] + vX_[2375] * -0.35;
+ vX_[2469] = vX_[2468] * 0.881 + (0 - vX_[2382]) * 0.1104774 + vX_[2386] * 0.0004405;
+ vX_[2470] = vX_[2380] * 0.00185880198235362 + vX_[2379] * 0.880992588508842 + vX_[2382] * -8.81e-05;
+ vX_[2471] = vX_[2444] * vX_[706] + vX_[2469] * vX_[635] + vX_[2470] * x_in[26];
+ vX_[2387] = 0 - vX_[2384] + vX_[2385] - vX_[2387];
+ vX_[2385] = 0 - vX_[2469];
+ vX_[2384] = vX_[2380] * 0.414812462825713 + vX_[2379] * 0.00185880198235362 + vX_[2386] * 8.81e-05;
+ vX_[2472] = vX_[2387] * vX_[706] + vX_[2385] * vX_[352] - vX_[2384] * x_in[26];
+ vX_[2473] = 0 - vX_[2390];
+ vX_[2474] = vX_[2467] * 3.146 + (0 - vX_[2375]) * 0.47422804 + vX_[2377] * -0.0825825;
+ vX_[2475] = vX_[2348] * vX_[411] + vX_[2233] * vX_[410] + vX_[2375] * vX_[387] + vX_[2377] * vX_[382];
+ vX_[2476] = vX_[2471] * vX_[357] + vX_[2472] * vX_[359] + vX_[2473] * vX_[628] + vX_[2474] * vX_[626] + vX_[2475] * x_in[25];
+ vX_[2392] = 0 - vX_[2391] + vX_[2392];
+ vX_[2391] = 0 - vX_[2474];
+ vX_[2477] = vX_[2348] * vX_[409] + vX_[2233] * vX_[411] + vX_[2375] * vX_[393] + vX_[2377] * vX_[392];
+ vX_[2478] = vX_[2471] * vX_[618] + vX_[2472] * vX_[357] + vX_[2392] * vX_[628] + vX_[2391] * vX_[651] - vX_[2477] * x_in[25];
+ vX_[2479] = vX_[2368] * -3.44;
+ vX_[2480] = vX_[2366] * 0.1466472;
+ vX_[2481] = vX_[2373] * 0.5824264;
+ vX_[2482] = 0 - vX_[2479] + vX_[2480] - vX_[2481];
+ vX_[2483] = 0 - vX_[2397];
+ vX_[2484] = vX_[2239] * vX_[463] + vX_[2368] * vX_[437] + vX_[2227] * vX_[434] + vX_[2350] * vX_[567] + vX_[2373] * vX_[515];
+ vX_[2485] = vX_[2476] * vX_[668] + vX_[2478] * vX_[383] + vX_[2482] * vX_[697] + vX_[2483] * vX_[704] - vX_[2484] * x_in[24];
+ vX_[2486] = vX_[2412] + vX_[2430] + vX_[2317] - vX_[2445] - vX_[2447];
+ vX_[2487] = 0 - vX_[2486];
+ vX_[2423] = vX_[2423] + vX_[2487] * vX_[436];
+ vX_[2414] = vX_[2414] + vX_[2486] * vX_[355];
+ vX_[2488] = 0 - vX_[2449];
+ vX_[2489] = 0 - vX_[2459];
+ vX_[2439] = vX_[2352] * vX_[995] + vX_[2415] * vX_[686] + vX_[2425] * vX_[582] + vX_[2435] * vX_[552] + vX_[2411] * vX_[586] + vX_[2439] * vX_[599];
+ vX_[2411] = vX_[2442] + vX_[2439] + vX_[2451] + vX_[2454] - vX_[2460] - vX_[2462];
+ vX_[2463] = vX_[2411] - vX_[2463];
+ vX_[2435] = 0 - vX_[2426];
+ vX_[2425] = 0 - vX_[2238];
+ vX_[2415] = 0 - vX_[2447];
+ vX_[2352] = vX_[2400] - vX_[2325];
+ vX_[2490] = vX_[2407] - vX_[2325];
+ vX_[2491] = vX_[2322] + vX_[2402];
+ vX_[2492] = vX_[2267] + vX_[2410];
+ vX_[2493] = vX_[2292] + vX_[2409];
+ vX_[2494] = 0 - vX_[2493];
+ vX_[2495] = vX_[2352] * vX_[449] + vX_[2491] * vX_[447];
+ vX_[2496] = vX_[2490] * vX_[449];
+ vX_[2497] = vX_[2352] * vX_[435] + vX_[2491] * vX_[449];
+ vX_[2498] = vX_[2490] * vX_[447];
+ vX_[2499] = vX_[2497] + vX_[2498];
+ vX_[2500] = vX_[2468] * 0.0004405 + vX_[2380] * -8.81e-05 + vX_[2386] * -0.000227999999999999;
+ vX_[2501] = vX_[2468] * 0.1104774 + vX_[2379] * -8.81e-05 + (0 - vX_[2382]) * 0.025713;
+ vX_[2502] = (0 - vX_[2380]) * 0.0004405;
+ vX_[2503] = (0 - vX_[2379]) * 0.1104774;
+ vX_[2504] = vX_[2502] + vX_[2503];
+ vX_[2504] = vX_[2444] * vX_[606] + vX_[2387] * vX_[234] + vX_[2500] * vX_[352] + vX_[2501] * vX_[635] + vX_[2504] * vX_[706] + vX_[2504] * vX_[706];
+ vX_[2387] = vX_[2467] * -0.0825825 + (0 - vX_[2231]) * 0.000102 + vX_[2375] * 0.007418 + vX_[2377] * 0.002735;
+ vX_[2444] = vX_[2467] * 0.47422804 + vX_[2231] * 2.1e-05 + (0 - vX_[2375]) * 0.084376 + (0 - vX_[2377]) * 0.007418;
+ vX_[2505] = (0 - vX_[2348]) * -0.0825825;
+ vX_[2506] = (0 - vX_[2233]) * 0.47422804;
+ vX_[2507] = vX_[2375] * 0.000102;
+ vX_[2508] = (0 - vX_[2377]) * 2.1e-05;
+ vX_[2509] = vX_[2505] + vX_[2506] + vX_[2507] + vX_[2508];
+ vX_[2509] = vX_[2504] + vX_[2471] * vX_[612] + vX_[2472] * vX_[362] + vX_[2473] * vX_[653] + vX_[2392] * vX_[649] + vX_[2387] * vX_[651] + vX_[2444] * vX_[626] + vX_[2509] * vX_[628] + vX_[2509] * vX_[628];
+ vX_[2392] = vX_[2368] * 0.5824264 + (0 - vX_[2366]) * -0.022734 + vX_[2350] * -3.6e-05 + vX_[2373] * -0.133138;
+ vX_[2473] = vX_[2368] * 0.1466472 + vX_[2366] * 0.009466 + (0 - vX_[2350]) * -5.1e-05 + vX_[2373] * -0.022734;
+ vX_[2510] = (0 - vX_[2239]) * 0.5824264;
+ vX_[2511] = (0 - vX_[2227]) * 0.1466472;
+ vX_[2512] = (0 - vX_[2366]) * -3.6e-05;
+ vX_[2513] = (0 - vX_[2373]) * -5.1e-05;
+ vX_[2514] = vX_[2510] + vX_[2511] + vX_[2512] - vX_[2513];
+ vX_[2515] = vX_[2239] * vX_[468] + vX_[2368] * vX_[515] + vX_[2227] * vX_[570] + vX_[2350] * vX_[569] + vX_[2373] * vX_[431];
+ vX_[2514] = vX_[2476] * vX_[662] + vX_[2478] * vX_[401] + vX_[2509] * -1 + vX_[2395] * vX_[702] + vX_[2483] * vX_[690] + vX_[2392] * vX_[697] + vX_[2473] * vX_[664] + vX_[2514] * vX_[704] + vX_[2514] * vX_[704] + vX_[2515] * x_in[24];
+ vX_[2381] = vX_[2380] * 0.1104774 + vX_[2379] * 0.0004405 + vX_[2381] * 0.025941;
+ vX_[2483] = (0 - vX_[2468]) * -8.81e-05;
+ vX_[2503] = vX_[2483] + vX_[2503];
+ vX_[2386] = vX_[2468] * 0.0004405 + vX_[2380] * 8.81e-05 + vX_[2386] * 0.000468;
+ vX_[2503] = vX_[2383] * vX_[731] + vX_[2385] * vX_[234] + vX_[2500] * vX_[706] + vX_[2381] * vX_[635] + vX_[2503] * vX_[352] + vX_[2503] * vX_[352] + vX_[2386] * x_in[26];
+ vX_[2483] = vX_[2483] + vX_[2502];
+ vX_[2468] = vX_[2468] * -0.1104774 + vX_[2379] * -8.81e-05 + vX_[2382] * 0.026409;
+ jac[964] = vX_[2384] * vX_[737] + vX_[2470] * vX_[606] + vX_[2468] * vX_[709] + vX_[2386] * vX_[352] + vX_[2504];
+ vX_[2468] = vX_[2388] * vX_[731] + vX_[2469] * vX_[606] + vX_[2501] * vX_[706] + vX_[2381] * vX_[352] + vX_[2483] * vX_[635] + vX_[2483] * vX_[635] - vX_[2468] * x_in[26];
+ vX_[2483] = vX_[2348] * 0.47422804 + vX_[2233] * -0.0825825 + vX_[2231] * 0.081641 + (0 - vX_[2375]) * 2.1e-05 + vX_[2377] * 0.000102;
+ vX_[2381] = (0 - vX_[2231]) * 0.007418;
+ vX_[2508] = vX_[2506] + vX_[2381] - vX_[2508];
+ vX_[2506] = vX_[2467] * vX_[377] + vX_[2348] * vX_[392] + vX_[2233] * vX_[382] + vX_[2375] * vX_[426] + vX_[2377] * vX_[422];
+ vX_[2508] = vX_[2389] * -0.35 + vX_[2503] * vX_[357] + vX_[2468] * vX_[359] + vX_[2390] * vX_[730] + vX_[2391] * vX_[649] + vX_[2387] * vX_[628] + vX_[2483] * vX_[626] + vX_[2508] * vX_[651] + vX_[2508] * vX_[651] + vX_[2506] * x_in[25];
+ vX_[2381] = vX_[2505] - vX_[2381] - vX_[2507];
+ vX_[2507] = vX_[2467] * vX_[389] + vX_[2348] * vX_[393] + vX_[2233] * vX_[387] + vX_[2375] * vX_[420] + vX_[2377] * vX_[426];
+ jac[928] = vX_[2477] * vX_[739] + vX_[2475] * vX_[653] + vX_[2507] * vX_[715] + vX_[2506] * vX_[651] + vX_[2509];
+ vX_[2507] = vX_[2503] * vX_[360] + vX_[2468] * vX_[357] + vX_[2393] * vX_[730] + vX_[2474] * vX_[653] + vX_[2444] * vX_[628] + vX_[2483] * vX_[651] + vX_[2381] * vX_[626] + vX_[2381] * vX_[626] - vX_[2507] * x_in[25];
+ vX_[2481] = vX_[2479] - vX_[2480] + vX_[2481];
+ vX_[2480] = vX_[2239] * 0.1466472 + vX_[2227] * 0.5824264 + vX_[2366] * -5.1e-05 + (0 - vX_[2350]) * -0.123672 + (0 - vX_[2373]) * -3.6e-05;
+ vX_[2479] = vX_[2350] * -0.022734;
+ vX_[2512] = vX_[2510] - vX_[2512] - vX_[2479];
+ vX_[2510] = vX_[2239] * vX_[405] + vX_[2368] * vX_[567] + vX_[2227] * vX_[516] + vX_[2350] * vX_[514] + vX_[2373] * vX_[569];
+ vX_[2512] = vX_[2508] * vX_[395] + vX_[2507] * vX_[383] + vX_[2481] * vX_[702] + vX_[2397] * vX_[725] + vX_[2480] * vX_[697] + vX_[2473] * vX_[704] + vX_[2512] * vX_[664] + vX_[2512] * vX_[664] - vX_[2510] * x_in[24];
+ vX_[2473] = 0 - vX_[2423];
+ vX_[2397] = 0 - vX_[2414];
+ vX_[2411] = 0 - vX_[2411] + vX_[2461];
+ vX_[2461] = 0 - vX_[2457];
+ vX_[2493] = 0 - vX_[2493];
+ jac[244] = 0 - (0 - (vX_[2277] * vX_[718] + vX_[2399] * x_in[22]) + (vX_[1993] * vX_[718] + vX_[2446] * vX_[449] + vX_[2399] * x_in[20]) * -0.3735 - (vX_[2241] * vX_[949] + vX_[2485] * x_in[23]) + (vX_[2128] * vX_[949] + vX_[2485] * x_in[19]) * 0.3735 + (vX_[2230] * vX_[949] + (vX_[2416] * vX_[518] + vX_[2457] * vX_[573] + vX_[2486] * vX_[462] + vX_[2448] * vX_[464] + vX_[2423] * vX_[434] + vX_[2414] * vX_[443] + vX_[2488] * vX_[446] + vX_[2489] * vX_[463] + vX_[2463] * vX_[452] + vX_[2435] * vX_[516] + vX_[2457] * vX_[570] + vX_[2425] * vX_[405] + vX_[2415] * vX_[523]) * -1 + vX_[2485] * x_in[18]) * -0.207 - (vX_[1993] * vX_[688] + vX_[2128] * vX_[747] + vX_[2352] * vX_[681] + vX_[2490] * vX_[679] + vX_[2491] * vX_[677] + vX_[2492] * vX_[654] + vX_[2494] * vX_[452] + vX_[2495] * vX_[658] + vX_[2496] * vX_[657] + vX_[2499] * vX_[434] + vX_[2450] * vX_[643] + vX_[2453] * vX_[623] + vX_[2354] * vX_[470] + vX_[2408] * vX_[460] + vX_[2451] * vX_[642] + vX_[2454] * vX_[620] + vX_[2431] * vX_[619] + vX_[2452] * vX_[621] + vX_[2421] * vX_[572] + vX_[2455] * vX_[622] + vX_[2434] * vX_[459] + vX_[2433] * vX_[469] + vX_[2429] * vX_[579] + vX_[2428] * vX_[577] + vX_[2419] * vX_[575] + vX_[2323] * vX_[596] + vX_[2406] * vX_[597] + vX_[2349] * vX_[524] + vX_[2418] * vX_[520] + vX_[2417] * vX_[574] + vX_[2446] * vX_[450] + vX_[2514] * x_in[19] + vX_[2512] * x_in[20])) * vX_[1083] + (vX_[2241] * vX_[718] + vX_[1993] * vX_[747] + vX_[2352] * vX_[677] + vX_[2492] * vX_[452] + vX_[2497] * vX_[657] + vX_[2495] * vX_[434] + vX_[2453] * vX_[620] + vX_[2354] * vX_[460] + vX_[2451] * vX_[643] + vX_[2431] * vX_[572] + vX_[2452] * vX_[622] + vX_[2434] * vX_[469] + vX_[2429] * vX_[575] + vX_[2323] * vX_[597] + vX_[2237] * vX_[520] + vX_[2349] * vX_[574] + (vX_[2426] * vX_[571] + vX_[2458] * vX_[414] + vX_[2238] * vX_[464] + vX_[2487] * vX_[438] + vX_[2445] * vX_[453] + vX_[2473] * vX_[437] + vX_[2236] * vX_[446] + vX_[2397] * vX_[434] + vX_[2232] * vX_[452] + vX_[2411] * vX_[463] + vX_[2426] * vX_[567] + vX_[2461] * vX_[515] + vX_[2238] * vX_[468] + vX_[2445] * vX_[512]) * 0.207 + vX_[2399] * x_in[23] + vX_[2514] * x_in[20] + (vX_[2128] * vX_[718] + vX_[2446] * vX_[447] + vX_[2399] * x_in[19]) * -0.3735 + (vX_[2230] * vX_[718] + vX_[2399] * x_in[18]) * 0.207 - (vX_[2277] * vX_[949] + vX_[2485] * x_in[22]) + (vX_[1993] * vX_[949] + vX_[2485] * x_in[20]) * -0.3735 - (vX_[2128] * vX_[688] + vX_[2490] * vX_[678] + vX_[2491] * vX_[681] + vX_[2493] * vX_[654] + vX_[2496] * vX_[434] + vX_[2498] * vX_[658] + vX_[2450] * vX_[642] + vX_[2408] * vX_[470] + vX_[2454] * vX_[623] + vX_[2421] * vX_[619] + vX_[2455] * vX_[621] + vX_[2433] * vX_[459] + vX_[2428] * vX_[576] + vX_[2419] * vX_[579] + vX_[2436] * vX_[596] + vX_[2418] * vX_[574] + vX_[2427] * vX_[524] + vX_[2446] * vX_[448] + vX_[2512] * x_in[19])) * vX_[1093];
+ vX_[2491] = -1. + -4.21975478400367 * vX_[978] + 0.0168251785646079 * vX_[244];
+ vX_[2490] = vX_[2491] * 1 / vX_[262];
+ vX_[2352] = 0 - vX_[2490];
+ vX_[2487] = vX_[2352] * vX_[269];
+ vX_[2486] = 0 - vX_[2490];
+ vX_[2446] = vX_[2486] * vX_[250];
+ vX_[2458] = vX_[2487] * vX_[266] + vX_[2446] * vX_[238];
+ vX_[2406] = vX_[2458] * 1 / vX_[313];
+ vX_[2421] = 0 - vX_[2406];
+ vX_[2431] = vX_[2421] * vX_[287];
+ vX_[2416] = 0 - vX_[2490];
+ vX_[2436] = -4.21975478400367 * vX_[239] + 0.0168251785646079 * vX_[241] + vX_[2416] * vX_[273];
+ vX_[2323] = 0 - vX_[2490];
+ vX_[2455] = -4.21975478400367 * vX_[977] + 0.0168251785646079 * vX_[239] + vX_[2323] * vX_[260];
+ vX_[2454] = 0 - vX_[2406];
+ vX_[2453] = vX_[2436] * vX_[237] + vX_[2455] * vX_[265] + vX_[2454] * vX_[278];
+ vX_[2452] = 0 - vX_[2406];
+ vX_[2458] = vX_[2458] + vX_[2452] * vX_[313] + vX_[2431] * vX_[935] + vX_[2453] * vX_[236];
+ vX_[2451] = 0 - vX_[2490];
+ vX_[2450] = 0 - vX_[2406];
+ vX_[2491] = vX_[2491] + vX_[2451] * vX_[262] + vX_[2436] * vX_[968] + vX_[2455] * vX_[283] + vX_[2450] * vX_[338];
+ vX_[2448] = 0 - vX_[2406];
+ vX_[2433] = vX_[2487] * vX_[238] + vX_[2446] * vX_[265] + vX_[2448] * vX_[347];
+ vX_[2354] = 0 - (vX_[2431] * vX_[328] + vX_[2453] * vX_[955] + vX_[2491] * vX_[235] + vX_[2433] * vX_[316]) + vX_[2458] * vX_[599];
+ vX_[2434] = 0 - vX_[2354];
+ vX_[2408] = 0 - vX_[2406];
+ vX_[2417] = vX_[2436] * vX_[967] + vX_[2455] * vX_[953] + vX_[2408] * vX_[325];
+ vX_[2427] = 0 - vX_[2354];
+ vX_[2237] = 0 - (vX_[2417] * 0.207 + vX_[2431] * vX_[330] + vX_[2453] * vX_[954] + vX_[2491] * vX_[316] + vX_[2433] * vX_[329]) + vX_[2458] * vX_[586] + vX_[2427] * vX_[630];
+ vX_[2418] = 0 - vX_[2237];
+ vX_[2428] = 0 - vX_[2354];
+ vX_[2349] = 0 - vX_[2237];
+ vX_[2417] = 0 - vX_[2417] + vX_[2458] * vX_[552] + vX_[2428] * vX_[519] + vX_[2349] * vX_[645];
+ vX_[2419] = 0 - vX_[2417];
+ vX_[2429] = 0 - (vX_[2431] * vX_[235] + vX_[2453] * vX_[316]) + vX_[2458] * vX_[582] + vX_[2434] * vX_[564] + vX_[2418] * vX_[566] + vX_[2419] * vX_[684];
+ vX_[2381] = 0 - vX_[2354];
+ vX_[2483] = 0 - vX_[2237];
+ vX_[2444] = 0 - vX_[2417];
+ vX_[2474] = 0 - vX_[2429];
+ vX_[2393] = (0 - (vX_[2431] * vX_[316] + vX_[2453] * vX_[956]) + vX_[2458] * vX_[686] + vX_[2381] * vX_[692] + vX_[2483] * vX_[694] + vX_[2444] * vX_[700] + vX_[2474] * vX_[674]) * 1 / vX_[682];
+ vX_[2506] = 0 - vX_[2393];
+ vX_[2429] = (vX_[2429] + vX_[2506] * vX_[705]) * 1 / vX_[680];
+ vX_[2509] = 0 - vX_[2393];
+ vX_[2477] = 0 - vX_[2429];
+ vX_[2417] = (vX_[2417] + vX_[2509] * vX_[699] + vX_[2477] * vX_[655]) * 1 / vX_[683];
+ vX_[2475] = 0 - vX_[2393];
+ vX_[2505] = 0 - vX_[2429];
+ vX_[2387] = 0 - vX_[2417];
+ vX_[2237] = (vX_[2237] + vX_[2475] * vX_[595] + vX_[2505] * vX_[644] + vX_[2387] * vX_[550]) * 1 / vX_[580];
+ vX_[2391] = vX_[2417] * -1 + vX_[2237] * 0.207;
+ vX_[2390] = 0 - vX_[2393];
+ vX_[2389] = 0 - vX_[2429];
+ vX_[2501] = 0 - vX_[2417];
+ vX_[2469] = 0 - vX_[2237];
+ vX_[2354] = (vX_[2354] + vX_[2390] * vX_[691] + vX_[2389] * vX_[624] + vX_[2501] * vX_[471] + vX_[2469] * vX_[629]) * 1 / vX_[578];
+ vX_[2388] = 0 - vX_[2393];
+ vX_[2386] = 0 - vX_[2429];
+ vX_[2504] = 0 - vX_[2417];
+ vX_[2384] = 0 - vX_[2237];
+ vX_[2470] = 0 - vX_[2354];
+ vX_[2382] = (0 - vX_[2458] + vX_[2388] * vX_[536] + vX_[2386] * vX_[472] + vX_[2504] * vX_[656] + vX_[2384] * vX_[590] + vX_[2470] * vX_[598]) * 1 / vX_[581];
+ vX_[2379] = vX_[2393] * vX_[583] + vX_[2429] * vX_[587] + vX_[2237] * vX_[696] + vX_[2354] * vX_[591] + vX_[2382] * vX_[354];
+ vX_[2502] = vX_[2237] * vX_[435] + vX_[2354] * vX_[449];
+ vX_[2500] = vX_[2391] * vX_[383] + vX_[2379] * vX_[668] + vX_[2502] * vX_[662];
+ vX_[2385] = vX_[2391] * vX_[356] + vX_[2379] * vX_[383] + vX_[2502] * vX_[401];
+ vX_[2383] = vX_[2502] * -1;
+ vX_[2380] = vX_[2500] * 1 / vX_[380];
+ vX_[2516] = vX_[2385] * 1 / vX_[380];
+ vX_[2517] = vX_[2383] * 1 / vX_[380];
+ vX_[2518] = vX_[2382] * -1;
+ vX_[2519] = vX_[2391] * 1 / vX_[432];
+ vX_[2520] = vX_[2393] * vX_[435] + vX_[2429] * vX_[353] + vX_[2237] * vX_[450] + vX_[2354] * vX_[448] + vX_[2382] * vX_[724];
+ vX_[2521] = vX_[2520] * 1 / vX_[432];
+ vX_[2522] = vX_[2379] * 1 / vX_[432];
+ vX_[2523] = vX_[2518] * 1 / vX_[432];
+ vX_[2524] = vX_[2502] * 1 / vX_[432];
+ vX_[2525] = vX_[2237] * vX_[449] + vX_[2354] * vX_[447];
+ vX_[2526] = vX_[2525] * 1 / vX_[432];
+ vX_[2518] = vX_[2518] - (vX_[2519] * vX_[444] + vX_[2521] * vX_[406] + vX_[2522] * vX_[396] + vX_[2523] * vX_[432] + vX_[2524] * vX_[458] + vX_[2526] * vX_[467]);
+ vX_[2527] = vX_[2518] * vX_[383] + vX_[2525] * vX_[395];
+ vX_[2528] = vX_[2527] * 1 / vX_[380];
+ vX_[2529] = vX_[2518] * vX_[356] + vX_[2525] * vX_[383];
+ vX_[2530] = vX_[2529] * 1 / vX_[380];
+ vX_[2383] = vX_[2383] - (vX_[2380] * vX_[390] + vX_[2516] * vX_[378] + vX_[2517] * vX_[380] + vX_[2528] * vX_[386] + vX_[2530] * vX_[368]);
+ vX_[2531] = vX_[2500] * vX_[359] + vX_[2385] * vX_[357] + vX_[2383] * vX_[362];
+ vX_[2532] = vX_[2500] * vX_[357] + vX_[2385] * vX_[618] + vX_[2383] * vX_[612];
+ vX_[2533] = vX_[2383] - (vX_[2532] * 38.1956380581338 * 0.1104774 + vX_[2531] * 38.1956380581338 * -0.0004405 + vX_[2383] * 38.1956380581338 * 0.026181);
+ vX_[2534] = vX_[2527] * vX_[357] + vX_[2529] * vX_[360];
+ vX_[2535] = vX_[2531] * 0.881 + (0 - vX_[2533]) * 0.0004405 + vX_[2534] * -8.81e-05;
+ vX_[2536] = vX_[2532] * -0.881;
+ vX_[2537] = vX_[2533] * 0.1104774;
+ vX_[2538] = vX_[2527] * vX_[359] + vX_[2529] * vX_[357];
+ vX_[2539] = vX_[2538] * -8.81e-05;
+ vX_[2540] = vX_[2536] - vX_[2537] + vX_[2539];
+ vX_[2541] = vX_[2535] * vX_[352] + vX_[2540] * vX_[635];
+ vX_[2542] = vX_[2385] * 3.146 + (0 - vX_[2383]) * -0.0825825;
+ vX_[2543] = vX_[2500] * -3.146;
+ vX_[2544] = vX_[2383] * 0.47422804;
+ vX_[2545] = vX_[2543] - vX_[2544];
+ vX_[2546] = vX_[2541] + vX_[2542] * vX_[651] + vX_[2545] * vX_[626];
+ vX_[2547] = vX_[2379] * 3.44 + vX_[2502] * 0.5824264;
+ vX_[2548] = 0 - vX_[2547];
+ vX_[2549] = vX_[2391] * 3.44 + (0 - vX_[2502]) * 0.1466472;
+ vX_[2550] = vX_[2391] * vX_[452] + vX_[2520] * vX_[434] + vX_[2379] * vX_[443] + vX_[2502] * vX_[516] + vX_[2525] * vX_[570];
+ vX_[2551] = vX_[2546] * -1 + vX_[2548] * vX_[697] + vX_[2549] * vX_[664] + vX_[2550] * x_in[24];
+ vX_[2552] = 0 - vX_[2393] * vX_[1014];
+ vX_[2553] = 0 - vX_[2552];
+ vX_[2554] = 0 - vX_[2552];
+ vX_[2474] = (vX_[2474] * vX_[1014] + vX_[2554] * vX_[705]) * 1 / vX_[680];
+ vX_[2555] = 0 - vX_[2474];
+ vX_[2556] = 0 - vX_[2552];
+ vX_[2557] = 0 - vX_[2474];
+ vX_[2444] = (vX_[2444] * vX_[1014] + vX_[2556] * vX_[699] + vX_[2557] * vX_[655]) * 1 / vX_[683];
+ vX_[2558] = 0 - vX_[2444];
+ vX_[2483] = (vX_[2483] * vX_[1014] + vX_[2553] * vX_[595] + vX_[2555] * vX_[644] + vX_[2558] * vX_[550]) * 1 / vX_[580];
+ vX_[2554] = vX_[2506] * vX_[703] + vX_[2554] * vX_[674];
+ vX_[2506] = 0 - vX_[2554];
+ vX_[2559] = 0 - vX_[2429] * vX_[703] - vX_[2474] * vX_[674];
+ vX_[2560] = 0 - vX_[2559];
+ vX_[2561] = 0 - vX_[2554];
+ vX_[2562] = 0 - vX_[2559];
+ vX_[2419] = (vX_[2419] * vX_[728] + vX_[2561] * vX_[699] + vX_[2562] * vX_[655]) * 1 / vX_[683];
+ vX_[2563] = 0 - vX_[2419];
+ vX_[2418] = (vX_[2418] * vX_[728] + vX_[2506] * vX_[595] + vX_[2560] * vX_[644] + vX_[2563] * vX_[550]) * 1 / vX_[580];
+ vX_[2561] = vX_[2509] * vX_[1016] + vX_[2556] * vX_[700] + vX_[2561] * vX_[684];
+ vX_[2556] = 0 - vX_[2561];
+ vX_[2562] = vX_[2477] * vX_[1016] + vX_[2557] * vX_[700] + vX_[2562] * vX_[684];
+ vX_[2557] = 0 - vX_[2562];
+ vX_[2477] = 0 - vX_[2417] * vX_[1016] - vX_[2444] * vX_[700] - vX_[2419] * vX_[684];
+ vX_[2509] = 0 - vX_[2477];
+ vX_[2349] = (vX_[2349] * vX_[1018] + vX_[2556] * vX_[595] + vX_[2557] * vX_[644] + vX_[2509] * vX_[550]) * 1 / vX_[580];
+ vX_[2564] = 0 - vX_[2237] * vX_[861] - vX_[2483] * vX_[694] - vX_[2418] * vX_[566] - vX_[2349] * vX_[645];
+ vX_[2565] = 0 - vX_[2552];
+ vX_[2566] = 0 - vX_[2474];
+ vX_[2567] = 0 - vX_[2444];
+ vX_[2568] = 0 - vX_[2483];
+ vX_[2569] = 0 - vX_[2552];
+ vX_[2570] = 0 - vX_[2474];
+ vX_[2571] = 0 - vX_[2444];
+ vX_[2572] = 0 - vX_[2483];
+ vX_[2381] = (vX_[2381] * vX_[1014] + vX_[2569] * vX_[691] + vX_[2570] * vX_[624] + vX_[2571] * vX_[471] + vX_[2572] * vX_[629]) * 1 / vX_[578];
+ vX_[2573] = 0 - vX_[2381];
+ vX_[2574] = (vX_[2458] * vX_[1014] + vX_[2565] * vX_[536] + vX_[2566] * vX_[472] + vX_[2567] * vX_[656] + vX_[2568] * vX_[590] + vX_[2573] * vX_[598]) * 1 / vX_[581];
+ vX_[2575] = 0 - vX_[2554];
+ vX_[2576] = 0 - vX_[2559];
+ vX_[2577] = 0 - vX_[2419];
+ vX_[2578] = 0 - vX_[2418];
+ vX_[2579] = 0 - vX_[2554];
+ vX_[2580] = 0 - vX_[2559];
+ vX_[2581] = 0 - vX_[2419];
+ vX_[2582] = 0 - vX_[2418];
+ vX_[2434] = (vX_[2434] * vX_[728] + vX_[2579] * vX_[691] + vX_[2580] * vX_[624] + vX_[2581] * vX_[471] + vX_[2582] * vX_[629]) * 1 / vX_[578];
+ vX_[2583] = 0 - vX_[2434];
+ vX_[2584] = (vX_[2458] * vX_[728] + vX_[2575] * vX_[536] + vX_[2576] * vX_[472] + vX_[2577] * vX_[656] + vX_[2578] * vX_[590] + vX_[2583] * vX_[598]) * 1 / vX_[581];
+ vX_[2585] = 0 - vX_[2561];
+ vX_[2586] = 0 - vX_[2562];
+ vX_[2587] = 0 - vX_[2477];
+ vX_[2588] = 0 - vX_[2349];
+ vX_[2589] = 0 - vX_[2561];
+ vX_[2590] = 0 - vX_[2562];
+ vX_[2591] = 0 - vX_[2477];
+ vX_[2592] = 0 - vX_[2349];
+ vX_[2428] = (vX_[2428] * vX_[1018] + vX_[2589] * vX_[691] + vX_[2590] * vX_[624] + vX_[2591] * vX_[471] + vX_[2592] * vX_[629]) * 1 / vX_[578];
+ vX_[2593] = 0 - vX_[2428];
+ vX_[2594] = (vX_[2458] * vX_[1018] + vX_[2585] * vX_[536] + vX_[2586] * vX_[472] + vX_[2587] * vX_[656] + vX_[2588] * vX_[590] + vX_[2593] * vX_[598]) * 1 / vX_[581];
+ vX_[2556] = vX_[2475] * vX_[861] + vX_[2553] * vX_[694] + vX_[2506] * vX_[566] + vX_[2556] * vX_[645];
+ vX_[2506] = 0 - vX_[2556];
+ vX_[2557] = vX_[2505] * vX_[861] + vX_[2555] * vX_[694] + vX_[2560] * vX_[566] + vX_[2557] * vX_[645];
+ vX_[2560] = 0 - vX_[2557];
+ vX_[2509] = vX_[2387] * vX_[861] + vX_[2558] * vX_[694] + vX_[2563] * vX_[566] + vX_[2509] * vX_[645];
+ vX_[2563] = 0 - vX_[2509];
+ vX_[2558] = 0 - vX_[2564];
+ vX_[2387] = 0 - vX_[2556];
+ vX_[2555] = 0 - vX_[2557];
+ vX_[2505] = 0 - vX_[2509];
+ vX_[2553] = 0 - vX_[2564];
+ vX_[2427] = (vX_[2427] * vX_[1050] + vX_[2387] * vX_[691] + vX_[2555] * vX_[624] + vX_[2505] * vX_[471] + vX_[2553] * vX_[629]) * 1 / vX_[578];
+ vX_[2475] = 0 - vX_[2427];
+ vX_[2595] = (vX_[2458] * vX_[1050] + vX_[2506] * vX_[536] + vX_[2560] * vX_[472] + vX_[2563] * vX_[656] + vX_[2558] * vX_[590] + vX_[2475] * vX_[598]) * 1 / vX_[581];
+ vX_[2387] = vX_[2390] * vX_[922] + vX_[2569] * vX_[692] + vX_[2579] * vX_[564] + vX_[2589] * vX_[519] + vX_[2387] * vX_[630];
+ vX_[2589] = 0 - vX_[2387];
+ vX_[2555] = vX_[2389] * vX_[922] + vX_[2570] * vX_[692] + vX_[2580] * vX_[564] + vX_[2590] * vX_[519] + vX_[2555] * vX_[630];
+ vX_[2590] = 0 - vX_[2555];
+ vX_[2505] = vX_[2501] * vX_[922] + vX_[2571] * vX_[692] + vX_[2581] * vX_[564] + vX_[2591] * vX_[519] + vX_[2505] * vX_[630];
+ vX_[2591] = 0 - vX_[2505];
+ vX_[2553] = vX_[2469] * vX_[922] + vX_[2572] * vX_[692] + vX_[2582] * vX_[564] + vX_[2592] * vX_[519] + vX_[2553] * vX_[630];
+ vX_[2592] = 0 - vX_[2553];
+ vX_[2582] = 0 - vX_[2354] * vX_[922] - vX_[2381] * vX_[692] - vX_[2434] * vX_[564] - vX_[2428] * vX_[519] - vX_[2427] * vX_[630];
+ vX_[2572] = 0 - vX_[2582];
+ vX_[2458] = (vX_[2458] * vX_[1052] + vX_[2589] * vX_[536] + vX_[2590] * vX_[472] + vX_[2591] * vX_[656] + vX_[2592] * vX_[590] + vX_[2572] * vX_[598]) * 1 / vX_[581];
+ vX_[2469] = 0 - vX_[2382] * vX_[995] - vX_[2574] * vX_[686] - vX_[2584] * vX_[582] - vX_[2594] * vX_[552] - vX_[2595] * vX_[586] - vX_[2458] * vX_[599];
+ vX_[2581] = vX_[2564] - vX_[2469];
+ vX_[2571] = vX_[2427] + vX_[2553];
+ vX_[2501] = vX_[2581] * vX_[449] + vX_[2571] * vX_[447];
+ vX_[2580] = vX_[2582] - vX_[2469];
+ vX_[2570] = vX_[2580] * vX_[449];
+ vX_[2389] = vX_[2581] * vX_[435] + vX_[2571] * vX_[449];
+ vX_[2579] = vX_[2580] * vX_[447];
+ vX_[2569] = vX_[2389] + vX_[2579];
+ vX_[2390] = vX_[2501] * vX_[435] + vX_[2570] * vX_[447] + vX_[2569] * vX_[449];
+ vX_[2596] = 0 - vX_[2390];
+ vX_[2597] = vX_[2469] + vX_[2389] * vX_[435] + vX_[2570] * vX_[449];
+ vX_[2598] = 0 - vX_[2597];
+ vX_[2599] = vX_[2469] + vX_[2501] * vX_[449] + vX_[2579] * vX_[447];
+ vX_[2590] = vX_[2386] * vX_[995] + vX_[2566] * vX_[686] + vX_[2576] * vX_[582] + vX_[2586] * vX_[552] + vX_[2560] * vX_[586] + vX_[2590] * vX_[599];
+ vX_[2560] = vX_[2584] + vX_[2590];
+ vX_[2586] = vX_[2428] + vX_[2505] - vX_[2560];
+ vX_[2589] = vX_[2388] * vX_[995] + vX_[2565] * vX_[686] + vX_[2575] * vX_[582] + vX_[2585] * vX_[552] + vX_[2506] * vX_[586] + vX_[2589] * vX_[599];
+ vX_[2506] = vX_[2574] + vX_[2589];
+ vX_[2585] = 0 - (vX_[2349] + vX_[2509]) + vX_[2506];
+ vX_[2575] = (vX_[2506] * vX_[435] + vX_[2560] * vX_[449]) * -1;
+ vX_[2565] = 0 - (vX_[2586] * vX_[449] + vX_[2585] * vX_[447]) + vX_[2575];
+ vX_[2388] = vX_[2565] + vX_[2597] * vX_[436];
+ vX_[2576] = 0 - vX_[2388];
+ vX_[2566] = (vX_[2506] * vX_[449] + vX_[2560] * vX_[447]) * -1;
+ vX_[2386] = vX_[2586] * vX_[435] + vX_[2585] * vX_[449] + vX_[2566];
+ vX_[2600] = 0 - vX_[2599];
+ vX_[2601] = vX_[2386] + vX_[2390] * vX_[436] + vX_[2600] * vX_[355];
+ vX_[2602] = vX_[2418] + vX_[2557];
+ vX_[2603] = vX_[2483] + vX_[2556];
+ vX_[2604] = vX_[2602] * vX_[447] + vX_[2603] * vX_[449];
+ vX_[2605] = vX_[2381] + vX_[2387];
+ vX_[2606] = vX_[2434] + vX_[2555];
+ vX_[2607] = vX_[2605] * vX_[449] + vX_[2606] * vX_[447];
+ vX_[2608] = vX_[2604] * vX_[435] + vX_[2607] * vX_[449];
+ vX_[2572] = vX_[2470] * vX_[995] + vX_[2573] * vX_[686] + vX_[2583] * vX_[582] + vX_[2593] * vX_[552] + vX_[2475] * vX_[586] + vX_[2572] * vX_[599];
+ vX_[2475] = vX_[2458] + vX_[2572];
+ vX_[2592] = vX_[2384] * vX_[995] + vX_[2568] * vX_[686] + vX_[2578] * vX_[582] + vX_[2588] * vX_[552] + vX_[2558] * vX_[586] + vX_[2592] * vX_[599];
+ vX_[2558] = vX_[2595] + vX_[2592];
+ vX_[2588] = 0 - vX_[2558];
+ vX_[2578] = vX_[2475] * vX_[449] + vX_[2588] * vX_[447];
+ vX_[2568] = 0 - vX_[2578];
+ vX_[2384] = vX_[2608] + vX_[2568] * vX_[355] + vX_[2598] * vX_[451];
+ vX_[2593] = 0 - vX_[2384];
+ vX_[2583] = vX_[2602] * vX_[449] + vX_[2603] * vX_[435];
+ vX_[2573] = vX_[2605] * vX_[435] + vX_[2606] * vX_[449];
+ vX_[2470] = vX_[2583] * vX_[449] + vX_[2573] * vX_[447];
+ vX_[2558] = 0 - vX_[2558];
+ vX_[2609] = vX_[2475] * vX_[435] + vX_[2558] * vX_[449];
+ vX_[2610] = 0 - vX_[2609];
+ vX_[2611] = vX_[2470] + vX_[2610] * vX_[436] + vX_[2599] * vX_[451];
+ vX_[2612] = vX_[2583] * vX_[435] + vX_[2573] * vX_[449];
+ vX_[2613] = vX_[2612] + vX_[2578] * vX_[436];
+ vX_[2614] = vX_[2604] * vX_[449] + vX_[2607] * vX_[447];
+ vX_[2615] = vX_[2614] + vX_[2609] * vX_[355] + vX_[2596] * vX_[451];
+ vX_[2616] = 0 - vX_[2613] + vX_[2615];
+ vX_[2617] = 0 - vX_[2390];
+ vX_[2618] = 0 - vX_[2597];
+ vX_[2598] = vX_[2596] * vX_[573] + vX_[2598] * vX_[518] + vX_[2599] * vX_[414] + vX_[2576] * vX_[452] + vX_[2601] * vX_[463] + vX_[2593] * vX_[443] + vX_[2611] * vX_[437] + vX_[2616] * vX_[434] + vX_[2390] * vX_[567] + vX_[2617] * vX_[570] + vX_[2618] * vX_[517] + vX_[2599] * vX_[521];
+ vX_[2596] = 0 - vX_[2535];
+ vX_[2619] = vX_[2520] * -1 + vX_[2518] * -0.08;
+ vX_[2620] = vX_[2619] + vX_[2527] * -0.35;
+ vX_[2621] = vX_[2620] * 0.881 + (0 - vX_[2534]) * 0.1104774 + vX_[2538] * 0.0004405;
+ vX_[2622] = vX_[2532] * 0.00185880198235362 + vX_[2531] * 0.880992588508842 + vX_[2534] * -8.81e-05;
+ vX_[2623] = vX_[2596] * vX_[706] + vX_[2621] * vX_[635] + vX_[2622] * x_in[26];
+ vX_[2539] = 0 - vX_[2536] + vX_[2537] - vX_[2539];
+ vX_[2537] = 0 - vX_[2621];
+ vX_[2536] = vX_[2532] * 0.414812462825713 + vX_[2531] * 0.00185880198235362 + vX_[2538] * 8.81e-05;
+ vX_[2624] = vX_[2539] * vX_[706] + vX_[2537] * vX_[352] - vX_[2536] * x_in[26];
+ vX_[2625] = 0 - vX_[2542];
+ vX_[2626] = vX_[2619] * 3.146 + (0 - vX_[2527]) * 0.47422804 + vX_[2529] * -0.0825825;
+ vX_[2627] = vX_[2500] * vX_[411] + vX_[2385] * vX_[410] + vX_[2527] * vX_[387] + vX_[2529] * vX_[382];
+ vX_[2628] = vX_[2623] * vX_[357] + vX_[2624] * vX_[359] + vX_[2625] * vX_[628] + vX_[2626] * vX_[626] + vX_[2627] * x_in[25];
+ vX_[2544] = 0 - vX_[2543] + vX_[2544];
+ vX_[2543] = 0 - vX_[2626];
+ vX_[2629] = vX_[2500] * vX_[409] + vX_[2385] * vX_[411] + vX_[2527] * vX_[393] + vX_[2529] * vX_[392];
+ vX_[2630] = vX_[2623] * vX_[618] + vX_[2624] * vX_[357] + vX_[2544] * vX_[628] + vX_[2543] * vX_[651] - vX_[2629] * x_in[25];
+ vX_[2631] = vX_[2520] * -3.44;
+ vX_[2632] = vX_[2518] * 0.1466472;
+ vX_[2633] = vX_[2525] * 0.5824264;
+ vX_[2634] = 0 - vX_[2631] + vX_[2632] - vX_[2633];
+ vX_[2635] = 0 - vX_[2549];
+ vX_[2636] = vX_[2391] * vX_[463] + vX_[2520] * vX_[437] + vX_[2379] * vX_[434] + vX_[2502] * vX_[567] + vX_[2525] * vX_[515];
+ vX_[2637] = vX_[2628] * vX_[668] + vX_[2630] * vX_[383] + vX_[2634] * vX_[697] + vX_[2635] * vX_[704] - vX_[2636] * x_in[24];
+ vX_[2638] = vX_[2564] + vX_[2582] + vX_[2469] - vX_[2597] - vX_[2599];
+ vX_[2639] = 0 - vX_[2638];
+ vX_[2575] = vX_[2575] + vX_[2639] * vX_[436];
+ vX_[2566] = vX_[2566] + vX_[2638] * vX_[355];
+ vX_[2640] = 0 - vX_[2601];
+ vX_[2641] = 0 - vX_[2611];
+ vX_[2591] = vX_[2504] * vX_[995] + vX_[2567] * vX_[686] + vX_[2577] * vX_[582] + vX_[2587] * vX_[552] + vX_[2563] * vX_[586] + vX_[2591] * vX_[599];
+ vX_[2563] = vX_[2594] + vX_[2591] + vX_[2603] + vX_[2606] - vX_[2612] - vX_[2614];
+ vX_[2615] = vX_[2563] - vX_[2615];
+ vX_[2587] = 0 - vX_[2578];
+ vX_[2577] = 0 - vX_[2390];
+ vX_[2567] = 0 - vX_[2599];
+ vX_[2504] = vX_[2552] - vX_[2477];
+ vX_[2642] = vX_[2559] - vX_[2477];
+ vX_[2643] = vX_[2474] + vX_[2554];
+ vX_[2644] = vX_[2419] + vX_[2562];
+ vX_[2645] = vX_[2444] + vX_[2561];
+ vX_[2646] = 0 - vX_[2645];
+ vX_[2647] = vX_[2504] * vX_[449] + vX_[2643] * vX_[447];
+ vX_[2648] = vX_[2642] * vX_[449];
+ vX_[2649] = vX_[2504] * vX_[435] + vX_[2643] * vX_[449];
+ vX_[2650] = vX_[2642] * vX_[447];
+ vX_[2651] = vX_[2649] + vX_[2650];
+ vX_[2652] = vX_[2620] * 0.0004405 + vX_[2532] * -8.81e-05 + vX_[2538] * -0.000227999999999999;
+ vX_[2653] = vX_[2620] * 0.1104774 + vX_[2531] * -8.81e-05 + (0 - vX_[2534]) * 0.025713;
+ vX_[2654] = (0 - vX_[2532]) * 0.0004405;
+ vX_[2655] = (0 - vX_[2531]) * 0.1104774;
+ vX_[2656] = vX_[2654] + vX_[2655];
+ vX_[2656] = vX_[2596] * vX_[606] + vX_[2539] * vX_[234] + vX_[2652] * vX_[352] + vX_[2653] * vX_[635] + vX_[2656] * vX_[706] + vX_[2656] * vX_[706];
+ vX_[2539] = vX_[2619] * -0.0825825 + (0 - vX_[2383]) * 0.000102 + vX_[2527] * 0.007418 + vX_[2529] * 0.002735;
+ vX_[2596] = vX_[2619] * 0.47422804 + vX_[2383] * 2.1e-05 + (0 - vX_[2527]) * 0.084376 + (0 - vX_[2529]) * 0.007418;
+ vX_[2657] = (0 - vX_[2500]) * -0.0825825;
+ vX_[2658] = (0 - vX_[2385]) * 0.47422804;
+ vX_[2659] = vX_[2527] * 0.000102;
+ vX_[2660] = (0 - vX_[2529]) * 2.1e-05;
+ vX_[2661] = vX_[2657] + vX_[2658] + vX_[2659] + vX_[2660];
+ vX_[2661] = vX_[2656] + vX_[2623] * vX_[612] + vX_[2624] * vX_[362] + vX_[2625] * vX_[653] + vX_[2544] * vX_[649] + vX_[2539] * vX_[651] + vX_[2596] * vX_[626] + vX_[2661] * vX_[628] + vX_[2661] * vX_[628];
+ vX_[2544] = vX_[2520] * 0.5824264 + (0 - vX_[2518]) * -0.022734 + vX_[2502] * -3.6e-05 + vX_[2525] * -0.133138;
+ vX_[2625] = vX_[2520] * 0.1466472 + vX_[2518] * 0.009466 + (0 - vX_[2502]) * -5.1e-05 + vX_[2525] * -0.022734;
+ vX_[2662] = (0 - vX_[2391]) * 0.5824264;
+ vX_[2663] = (0 - vX_[2379]) * 0.1466472;
+ vX_[2664] = (0 - vX_[2518]) * -3.6e-05;
+ vX_[2665] = (0 - vX_[2525]) * -5.1e-05;
+ vX_[2666] = vX_[2662] + vX_[2663] + vX_[2664] - vX_[2665];
+ vX_[2667] = vX_[2391] * vX_[468] + vX_[2520] * vX_[515] + vX_[2379] * vX_[570] + vX_[2502] * vX_[569] + vX_[2525] * vX_[431];
+ vX_[2666] = vX_[2628] * vX_[662] + vX_[2630] * vX_[401] + vX_[2661] * -1 + vX_[2547] * vX_[702] + vX_[2635] * vX_[690] + vX_[2544] * vX_[697] + vX_[2625] * vX_[664] + vX_[2666] * vX_[704] + vX_[2666] * vX_[704] + vX_[2667] * x_in[24];
+ vX_[2533] = vX_[2532] * 0.1104774 + vX_[2531] * 0.0004405 + vX_[2533] * 0.025941;
+ vX_[2635] = (0 - vX_[2620]) * -8.81e-05;
+ vX_[2655] = vX_[2635] + vX_[2655];
+ vX_[2538] = vX_[2620] * 0.0004405 + vX_[2532] * 8.81e-05 + vX_[2538] * 0.000468;
+ vX_[2655] = vX_[2535] * vX_[731] + vX_[2537] * vX_[234] + vX_[2652] * vX_[706] + vX_[2533] * vX_[635] + vX_[2655] * vX_[352] + vX_[2655] * vX_[352] + vX_[2538] * x_in[26];
+ vX_[2635] = vX_[2635] + vX_[2654];
+ vX_[2620] = vX_[2620] * -0.1104774 + vX_[2531] * -8.81e-05 + vX_[2534] * 0.026409;
+ jac[965] = vX_[2536] * vX_[737] + vX_[2622] * vX_[606] + vX_[2620] * vX_[709] + vX_[2538] * vX_[352] + vX_[2656];
+ vX_[2620] = vX_[2540] * vX_[731] + vX_[2621] * vX_[606] + vX_[2653] * vX_[706] + vX_[2533] * vX_[352] + vX_[2635] * vX_[635] + vX_[2635] * vX_[635] - vX_[2620] * x_in[26];
+ vX_[2635] = vX_[2500] * 0.47422804 + vX_[2385] * -0.0825825 + vX_[2383] * 0.081641 + (0 - vX_[2527]) * 2.1e-05 + vX_[2529] * 0.000102;
+ vX_[2533] = (0 - vX_[2383]) * 0.007418;
+ vX_[2660] = vX_[2658] + vX_[2533] - vX_[2660];
+ vX_[2658] = vX_[2619] * vX_[377] + vX_[2500] * vX_[392] + vX_[2385] * vX_[382] + vX_[2527] * vX_[426] + vX_[2529] * vX_[422];
+ vX_[2660] = vX_[2541] * -0.35 + vX_[2655] * vX_[357] + vX_[2620] * vX_[359] + vX_[2542] * vX_[730] + vX_[2543] * vX_[649] + vX_[2539] * vX_[628] + vX_[2635] * vX_[626] + vX_[2660] * vX_[651] + vX_[2660] * vX_[651] + vX_[2658] * x_in[25];
+ vX_[2533] = vX_[2657] - vX_[2533] - vX_[2659];
+ vX_[2659] = vX_[2619] * vX_[389] + vX_[2500] * vX_[393] + vX_[2385] * vX_[387] + vX_[2527] * vX_[420] + vX_[2529] * vX_[426];
+ jac[929] = vX_[2629] * vX_[739] + vX_[2627] * vX_[653] + vX_[2659] * vX_[715] + vX_[2658] * vX_[651] + vX_[2661];
+ vX_[2659] = vX_[2655] * vX_[360] + vX_[2620] * vX_[357] + vX_[2545] * vX_[730] + vX_[2626] * vX_[653] + vX_[2596] * vX_[628] + vX_[2635] * vX_[651] + vX_[2533] * vX_[626] + vX_[2533] * vX_[626] - vX_[2659] * x_in[25];
+ vX_[2633] = vX_[2631] - vX_[2632] + vX_[2633];
+ vX_[2632] = vX_[2391] * 0.1466472 + vX_[2379] * 0.5824264 + vX_[2518] * -5.1e-05 + (0 - vX_[2502]) * -0.123672 + (0 - vX_[2525]) * -3.6e-05;
+ vX_[2631] = vX_[2502] * -0.022734;
+ vX_[2664] = vX_[2662] - vX_[2664] - vX_[2631];
+ vX_[2662] = vX_[2391] * vX_[405] + vX_[2520] * vX_[567] + vX_[2379] * vX_[516] + vX_[2502] * vX_[514] + vX_[2525] * vX_[569];
+ vX_[2664] = vX_[2660] * vX_[395] + vX_[2659] * vX_[383] + vX_[2633] * vX_[702] + vX_[2549] * vX_[725] + vX_[2632] * vX_[697] + vX_[2625] * vX_[704] + vX_[2664] * vX_[664] + vX_[2664] * vX_[664] - vX_[2662] * x_in[24];
+ vX_[2625] = 0 - vX_[2575];
+ vX_[2549] = 0 - vX_[2566];
+ vX_[2563] = 0 - vX_[2563] + vX_[2613];
+ vX_[2613] = 0 - vX_[2609];
+ vX_[2645] = 0 - vX_[2645];
+ jac[245] = 0 - (0 - (vX_[2429] * vX_[718] + vX_[2551] * x_in[22]) + (vX_[2237] * vX_[718] + vX_[2598] * vX_[449] + vX_[2551] * x_in[20]) * -0.3735 - (vX_[2393] * vX_[949] + vX_[2637] * x_in[23]) + (vX_[2354] * vX_[949] + vX_[2637] * x_in[19]) * 0.3735 + (vX_[2382] * vX_[949] + (vX_[2568] * vX_[518] + vX_[2609] * vX_[573] + vX_[2638] * vX_[462] + vX_[2600] * vX_[464] + vX_[2575] * vX_[434] + vX_[2566] * vX_[443] + vX_[2640] * vX_[446] + vX_[2641] * vX_[463] + vX_[2615] * vX_[452] + vX_[2587] * vX_[516] + vX_[2609] * vX_[570] + vX_[2577] * vX_[405] + vX_[2567] * vX_[523]) * -1 + vX_[2637] * x_in[18]) * -0.207 - (vX_[2237] * vX_[688] + vX_[2354] * vX_[747] + vX_[2504] * vX_[681] + vX_[2642] * vX_[679] + vX_[2643] * vX_[677] + vX_[2644] * vX_[654] + vX_[2646] * vX_[452] + vX_[2647] * vX_[658] + vX_[2648] * vX_[657] + vX_[2651] * vX_[434] + vX_[2602] * vX_[643] + vX_[2605] * vX_[623] + vX_[2506] * vX_[470] + vX_[2560] * vX_[460] + vX_[2603] * vX_[642] + vX_[2606] * vX_[620] + vX_[2583] * vX_[619] + vX_[2604] * vX_[621] + vX_[2573] * vX_[572] + vX_[2607] * vX_[622] + vX_[2586] * vX_[459] + vX_[2585] * vX_[469] + vX_[2581] * vX_[579] + vX_[2580] * vX_[577] + vX_[2571] * vX_[575] + vX_[2475] * vX_[596] + vX_[2558] * vX_[597] + vX_[2501] * vX_[524] + vX_[2570] * vX_[520] + vX_[2569] * vX_[574] + vX_[2598] * vX_[450] + vX_[2666] * x_in[19] + vX_[2664] * x_in[20])) * vX_[1083] + (vX_[2393] * vX_[718] + vX_[2237] * vX_[747] + vX_[2504] * vX_[677] + vX_[2644] * vX_[452] + vX_[2649] * vX_[657] + vX_[2647] * vX_[434] + vX_[2605] * vX_[620] + vX_[2506] * vX_[460] + vX_[2603] * vX_[643] + vX_[2583] * vX_[572] + vX_[2604] * vX_[622] + vX_[2586] * vX_[469] + vX_[2581] * vX_[575] + vX_[2475] * vX_[597] + vX_[2389] * vX_[520] + vX_[2501] * vX_[574] + (vX_[2578] * vX_[571] + vX_[2610] * vX_[414] + vX_[2390] * vX_[464] + vX_[2639] * vX_[438] + vX_[2597] * vX_[453] + vX_[2625] * vX_[437] + vX_[2388] * vX_[446] + vX_[2549] * vX_[434] + vX_[2384] * vX_[452] + vX_[2563] * vX_[463] + vX_[2578] * vX_[567] + vX_[2613] * vX_[515] + vX_[2390] * vX_[468] + vX_[2597] * vX_[512]) * 0.207 + vX_[2551] * x_in[23] + vX_[2666] * x_in[20] + (vX_[2354] * vX_[718] + vX_[2598] * vX_[447] + vX_[2551] * x_in[19]) * -0.3735 + (vX_[2382] * vX_[718] + vX_[2551] * x_in[18]) * 0.207 - (vX_[2429] * vX_[949] + vX_[2637] * x_in[22]) + (vX_[2237] * vX_[949] + vX_[2637] * x_in[20]) * -0.3735 - (vX_[2354] * vX_[688] + vX_[2642] * vX_[678] + vX_[2643] * vX_[681] + vX_[2645] * vX_[654] + vX_[2648] * vX_[434] + vX_[2650] * vX_[658] + vX_[2602] * vX_[642] + vX_[2560] * vX_[470] + vX_[2606] * vX_[623] + vX_[2573] * vX_[619] + vX_[2607] * vX_[621] + vX_[2585] * vX_[459] + vX_[2580] * vX_[576] + vX_[2571] * vX_[579] + vX_[2588] * vX_[596] + vX_[2570] * vX_[574] + vX_[2579] * vX_[524] + vX_[2598] * vX_[448] + vX_[2664] * x_in[19])) * vX_[1093];
+ vX_[2643] = 1 / vX_[194];
+ vX_[2642] = 0 - vX_[2643];
+ vX_[2504] = vX_[2642] * vX_[168];
+ vX_[2639] = 0 - vX_[2643];
+ vX_[2638] = vX_[2639] * vX_[158];
+ vX_[2598] = 0 - vX_[2643];
+ vX_[2610] = vX_[2504] * vX_[880] + vX_[2638] * vX_[126] + vX_[2598] * vX_[194] * -1;
+ vX_[2558] = 0 - vX_[2643];
+ vX_[2573] = vX_[2558] * vX_[220];
+ vX_[2583] = 0 - vX_[2643];
+ vX_[2568] = vX_[2583] * vX_[229];
+ vX_[2588] = 0 - (vX_[2504] * vX_[210] + vX_[2638] * vX_[892] + vX_[2573] * vX_[211] + vX_[2568] * vX_[209]) + vX_[2610] * vX_[599];
+ vX_[2475] = 0 - vX_[2588];
+ vX_[2607] = 0 - vX_[2643];
+ vX_[2606] = vX_[2607] * vX_[206];
+ vX_[2605] = 0 - vX_[2588];
+ vX_[2604] = 0 - (vX_[2606] * 0.207 + vX_[2504] * vX_[212] + vX_[2638] * vX_[891] + vX_[2573] * vX_[197] + vX_[2568] * vX_[211]) + vX_[2610] * vX_[586] + vX_[2605] * vX_[630];
+ vX_[2603] = 0 - vX_[2604];
+ vX_[2602] = 0 - vX_[2588];
+ vX_[2600] = 0 - vX_[2604];
+ vX_[2606] = 0 - vX_[2606] * -1 + vX_[2610] * vX_[552] + vX_[2602] * vX_[519] + vX_[2600] * vX_[645];
+ vX_[2585] = 0 - vX_[2606];
+ vX_[2506] = 0 - (vX_[2504] * vX_[879] + vX_[2638] * vX_[893]) + vX_[2610] * vX_[582] + vX_[2475] * vX_[564] + vX_[2603] * vX_[566] + vX_[2585] * vX_[684];
+ vX_[2586] = 0 - vX_[2588];
+ vX_[2560] = 0 - vX_[2604];
+ vX_[2569] = 0 - vX_[2606];
+ vX_[2579] = 0 - vX_[2506];
+ vX_[2389] = (0 - (vX_[2504] * vX_[197] + vX_[2638] * vX_[125]) + vX_[2610] * vX_[686] + vX_[2586] * vX_[692] + vX_[2560] * vX_[694] + vX_[2569] * vX_[700] + vX_[2579] * vX_[674]) * 1 / vX_[682];
+ vX_[2570] = 0 - vX_[2389];
+ vX_[2506] = (vX_[2506] + vX_[2570] * vX_[705]) * 1 / vX_[680];
+ vX_[2580] = 0 - vX_[2389];
+ vX_[2501] = 0 - vX_[2506];
+ vX_[2606] = (vX_[2606] + vX_[2580] * vX_[699] + vX_[2501] * vX_[655]) * 1 / vX_[683];
+ vX_[2571] = 0 - vX_[2389];
+ vX_[2581] = 0 - vX_[2506];
+ vX_[2533] = 0 - vX_[2606];
+ vX_[2604] = (vX_[2604] + vX_[2571] * vX_[595] + vX_[2581] * vX_[644] + vX_[2533] * vX_[550]) * 1 / vX_[580];
+ vX_[2635] = vX_[2606] * -1 + vX_[2604] * 0.207;
+ vX_[2596] = 0 - vX_[2389];
+ vX_[2626] = 0 - vX_[2506];
+ vX_[2545] = 0 - vX_[2606];
+ vX_[2658] = 0 - vX_[2604];
+ vX_[2588] = (vX_[2588] + vX_[2596] * vX_[691] + vX_[2626] * vX_[624] + vX_[2545] * vX_[471] + vX_[2658] * vX_[629]) * 1 / vX_[578];
+ vX_[2661] = 0 - vX_[2389];
+ vX_[2629] = 0 - vX_[2506];
+ vX_[2627] = 0 - vX_[2606];
+ vX_[2657] = 0 - vX_[2604];
+ vX_[2539] = 0 - vX_[2588];
+ vX_[2543] = (0 - vX_[2610] + vX_[2661] * vX_[536] + vX_[2629] * vX_[472] + vX_[2627] * vX_[656] + vX_[2657] * vX_[590] + vX_[2539] * vX_[598]) * 1 / vX_[581];
+ vX_[2542] = vX_[2389] * vX_[583] + vX_[2506] * vX_[587] + vX_[2604] * vX_[696] + vX_[2588] * vX_[591] + vX_[2543] * vX_[354];
+ vX_[2541] = vX_[2604] * vX_[435] + vX_[2588] * vX_[449];
+ vX_[2653] = vX_[2635] * vX_[383] + vX_[2542] * vX_[668] + vX_[2541] * vX_[662];
+ vX_[2621] = vX_[2635] * vX_[356] + vX_[2542] * vX_[383] + vX_[2541] * vX_[401];
+ vX_[2540] = vX_[2541] * -1;
+ vX_[2538] = vX_[2653] * 1 / vX_[380];
+ vX_[2656] = vX_[2621] * 1 / vX_[380];
+ vX_[2536] = vX_[2540] * 1 / vX_[380];
+ vX_[2622] = vX_[2543] * -1;
+ vX_[2534] = vX_[2635] * 1 / vX_[432];
+ vX_[2531] = vX_[2389] * vX_[435] + vX_[2506] * vX_[353] + vX_[2604] * vX_[450] + vX_[2588] * vX_[448] + vX_[2543] * vX_[724];
+ vX_[2654] = vX_[2531] * 1 / vX_[432];
+ vX_[2652] = vX_[2542] * 1 / vX_[432];
+ vX_[2537] = vX_[2622] * 1 / vX_[432];
+ vX_[2535] = vX_[2541] * 1 / vX_[432];
+ vX_[2532] = vX_[2604] * vX_[449] + vX_[2588] * vX_[447];
+ vX_[2668] = vX_[2532] * 1 / vX_[432];
+ vX_[2622] = vX_[2622] - (vX_[2534] * vX_[444] + vX_[2654] * vX_[406] + vX_[2652] * vX_[396] + vX_[2537] * vX_[432] + vX_[2535] * vX_[458] + vX_[2668] * vX_[467]);
+ vX_[2669] = vX_[2622] * vX_[383] + vX_[2532] * vX_[395];
+ vX_[2670] = vX_[2669] * 1 / vX_[380];
+ vX_[2671] = vX_[2622] * vX_[356] + vX_[2532] * vX_[383];
+ vX_[2672] = vX_[2671] * 1 / vX_[380];
+ vX_[2540] = vX_[2540] - (vX_[2538] * vX_[390] + vX_[2656] * vX_[378] + vX_[2536] * vX_[380] + vX_[2670] * vX_[386] + vX_[2672] * vX_[368]);
+ vX_[2673] = vX_[2653] * vX_[359] + vX_[2621] * vX_[357] + vX_[2540] * vX_[362];
+ vX_[2674] = vX_[2653] * vX_[357] + vX_[2621] * vX_[618] + vX_[2540] * vX_[612];
+ vX_[2675] = vX_[2540] - (vX_[2674] * 38.1956380581338 * 0.1104774 + vX_[2673] * 38.1956380581338 * -0.0004405 + vX_[2540] * 38.1956380581338 * 0.026181);
+ vX_[2676] = vX_[2669] * vX_[357] + vX_[2671] * vX_[360];
+ vX_[2677] = vX_[2673] * 0.881 + (0 - vX_[2675]) * 0.0004405 + vX_[2676] * -8.81e-05;
+ vX_[2678] = vX_[2674] * -0.881;
+ vX_[2679] = vX_[2675] * 0.1104774;
+ vX_[2680] = vX_[2669] * vX_[359] + vX_[2671] * vX_[357];
+ vX_[2681] = vX_[2680] * -8.81e-05;
+ vX_[2682] = vX_[2678] - vX_[2679] + vX_[2681];
+ vX_[2683] = vX_[2677] * vX_[352] + vX_[2682] * vX_[635];
+ vX_[2684] = vX_[2621] * 3.146 + (0 - vX_[2540]) * -0.0825825;
+ vX_[2685] = vX_[2653] * -3.146;
+ vX_[2686] = vX_[2540] * 0.47422804;
+ vX_[2687] = vX_[2685] - vX_[2686];
+ vX_[2688] = vX_[2683] + vX_[2684] * vX_[651] + vX_[2687] * vX_[626];
+ vX_[2689] = vX_[2542] * 3.44 + vX_[2541] * 0.5824264;
+ vX_[2690] = 0 - vX_[2689];
+ vX_[2691] = vX_[2635] * 3.44 + (0 - vX_[2541]) * 0.1466472;
+ vX_[2692] = vX_[2635] * vX_[452] + vX_[2531] * vX_[434] + vX_[2542] * vX_[443] + vX_[2541] * vX_[516] + vX_[2532] * vX_[570];
+ vX_[2693] = vX_[2688] * -1 + vX_[2690] * vX_[697] + vX_[2691] * vX_[664] + vX_[2692] * x_in[24];
+ vX_[2694] = 0 - vX_[2389] * vX_[1014];
+ vX_[2695] = 0 - vX_[2694];
+ vX_[2696] = 0 - vX_[2694];
+ vX_[2579] = (vX_[2579] * vX_[1014] + vX_[2696] * vX_[705]) * 1 / vX_[680];
+ vX_[2697] = 0 - vX_[2579];
+ vX_[2698] = 0 - vX_[2694];
+ vX_[2699] = 0 - vX_[2579];
+ vX_[2569] = (vX_[2569] * vX_[1014] + vX_[2698] * vX_[699] + vX_[2699] * vX_[655]) * 1 / vX_[683];
+ vX_[2700] = 0 - vX_[2569];
+ vX_[2560] = (vX_[2560] * vX_[1014] + vX_[2695] * vX_[595] + vX_[2697] * vX_[644] + vX_[2700] * vX_[550]) * 1 / vX_[580];
+ vX_[2696] = vX_[2570] * vX_[703] + vX_[2696] * vX_[674];
+ vX_[2570] = 0 - vX_[2696];
+ vX_[2701] = 0 - vX_[2506] * vX_[703] - vX_[2579] * vX_[674];
+ vX_[2702] = 0 - vX_[2701];
+ vX_[2703] = 0 - vX_[2696];
+ vX_[2704] = 0 - vX_[2701];
+ vX_[2585] = (vX_[2585] * vX_[728] + vX_[2703] * vX_[699] + vX_[2704] * vX_[655]) * 1 / vX_[683];
+ vX_[2705] = 0 - vX_[2585];
+ vX_[2603] = (vX_[2603] * vX_[728] + vX_[2570] * vX_[595] + vX_[2702] * vX_[644] + vX_[2705] * vX_[550]) * 1 / vX_[580];
+ vX_[2703] = vX_[2580] * vX_[1016] + vX_[2698] * vX_[700] + vX_[2703] * vX_[684];
+ vX_[2698] = 0 - vX_[2703];
+ vX_[2704] = vX_[2501] * vX_[1016] + vX_[2699] * vX_[700] + vX_[2704] * vX_[684];
+ vX_[2699] = 0 - vX_[2704];
+ vX_[2501] = 0 - vX_[2606] * vX_[1016] - vX_[2569] * vX_[700] - vX_[2585] * vX_[684];
+ vX_[2580] = 0 - vX_[2501];
+ vX_[2600] = (vX_[2600] * vX_[1018] + vX_[2698] * vX_[595] + vX_[2699] * vX_[644] + vX_[2580] * vX_[550]) * 1 / vX_[580];
+ vX_[2706] = 0 - vX_[2604] * vX_[861] - vX_[2560] * vX_[694] - vX_[2603] * vX_[566] - vX_[2600] * vX_[645];
+ vX_[2707] = 0 - vX_[2694];
+ vX_[2708] = 0 - vX_[2579];
+ vX_[2709] = 0 - vX_[2569];
+ vX_[2710] = 0 - vX_[2560];
+ vX_[2711] = 0 - vX_[2694];
+ vX_[2712] = 0 - vX_[2579];
+ vX_[2713] = 0 - vX_[2569];
+ vX_[2714] = 0 - vX_[2560];
+ vX_[2586] = (vX_[2586] * vX_[1014] + vX_[2711] * vX_[691] + vX_[2712] * vX_[624] + vX_[2713] * vX_[471] + vX_[2714] * vX_[629]) * 1 / vX_[578];
+ vX_[2715] = 0 - vX_[2586];
+ vX_[2716] = (vX_[2610] * vX_[1014] + vX_[2707] * vX_[536] + vX_[2708] * vX_[472] + vX_[2709] * vX_[656] + vX_[2710] * vX_[590] + vX_[2715] * vX_[598]) * 1 / vX_[581];
+ vX_[2717] = 0 - vX_[2696];
+ vX_[2718] = 0 - vX_[2701];
+ vX_[2719] = 0 - vX_[2585];
+ vX_[2720] = 0 - vX_[2603];
+ vX_[2721] = 0 - vX_[2696];
+ vX_[2722] = 0 - vX_[2701];
+ vX_[2723] = 0 - vX_[2585];
+ vX_[2724] = 0 - vX_[2603];
+ vX_[2475] = (vX_[2475] * vX_[728] + vX_[2721] * vX_[691] + vX_[2722] * vX_[624] + vX_[2723] * vX_[471] + vX_[2724] * vX_[629]) * 1 / vX_[578];
+ vX_[2725] = 0 - vX_[2475];
+ vX_[2726] = (vX_[2610] * vX_[728] + vX_[2717] * vX_[536] + vX_[2718] * vX_[472] + vX_[2719] * vX_[656] + vX_[2720] * vX_[590] + vX_[2725] * vX_[598]) * 1 / vX_[581];
+ vX_[2727] = 0 - vX_[2703];
+ vX_[2728] = 0 - vX_[2704];
+ vX_[2729] = 0 - vX_[2501];
+ vX_[2730] = 0 - vX_[2600];
+ vX_[2731] = 0 - vX_[2703];
+ vX_[2732] = 0 - vX_[2704];
+ vX_[2733] = 0 - vX_[2501];
+ vX_[2734] = 0 - vX_[2600];
+ vX_[2602] = (vX_[2602] * vX_[1018] + vX_[2731] * vX_[691] + vX_[2732] * vX_[624] + vX_[2733] * vX_[471] + vX_[2734] * vX_[629]) * 1 / vX_[578];
+ vX_[2735] = 0 - vX_[2602];
+ vX_[2736] = (vX_[2610] * vX_[1018] + vX_[2727] * vX_[536] + vX_[2728] * vX_[472] + vX_[2729] * vX_[656] + vX_[2730] * vX_[590] + vX_[2735] * vX_[598]) * 1 / vX_[581];
+ vX_[2698] = vX_[2571] * vX_[861] + vX_[2695] * vX_[694] + vX_[2570] * vX_[566] + vX_[2698] * vX_[645];
+ vX_[2570] = 0 - vX_[2698];
+ vX_[2699] = vX_[2581] * vX_[861] + vX_[2697] * vX_[694] + vX_[2702] * vX_[566] + vX_[2699] * vX_[645];
+ vX_[2702] = 0 - vX_[2699];
+ vX_[2580] = vX_[2533] * vX_[861] + vX_[2700] * vX_[694] + vX_[2705] * vX_[566] + vX_[2580] * vX_[645];
+ vX_[2705] = 0 - vX_[2580];
+ vX_[2700] = 0 - vX_[2706];
+ vX_[2533] = 0 - vX_[2698];
+ vX_[2697] = 0 - vX_[2699];
+ vX_[2581] = 0 - vX_[2580];
+ vX_[2695] = 0 - vX_[2706];
+ vX_[2605] = (vX_[2605] * vX_[1050] + vX_[2533] * vX_[691] + vX_[2697] * vX_[624] + vX_[2581] * vX_[471] + vX_[2695] * vX_[629]) * 1 / vX_[578];
+ vX_[2571] = 0 - vX_[2605];
+ vX_[2737] = (vX_[2610] * vX_[1050] + vX_[2570] * vX_[536] + vX_[2702] * vX_[472] + vX_[2705] * vX_[656] + vX_[2700] * vX_[590] + vX_[2571] * vX_[598]) * 1 / vX_[581];
+ vX_[2533] = vX_[2596] * vX_[922] + vX_[2711] * vX_[692] + vX_[2721] * vX_[564] + vX_[2731] * vX_[519] + vX_[2533] * vX_[630];
+ vX_[2731] = 0 - vX_[2533];
+ vX_[2697] = vX_[2626] * vX_[922] + vX_[2712] * vX_[692] + vX_[2722] * vX_[564] + vX_[2732] * vX_[519] + vX_[2697] * vX_[630];
+ vX_[2732] = 0 - vX_[2697];
+ vX_[2581] = vX_[2545] * vX_[922] + vX_[2713] * vX_[692] + vX_[2723] * vX_[564] + vX_[2733] * vX_[519] + vX_[2581] * vX_[630];
+ vX_[2733] = 0 - vX_[2581];
+ vX_[2695] = vX_[2658] * vX_[922] + vX_[2714] * vX_[692] + vX_[2724] * vX_[564] + vX_[2734] * vX_[519] + vX_[2695] * vX_[630];
+ vX_[2734] = 0 - vX_[2695];
+ vX_[2724] = 0 - vX_[2588] * vX_[922] - vX_[2586] * vX_[692] - vX_[2475] * vX_[564] - vX_[2602] * vX_[519] - vX_[2605] * vX_[630];
+ vX_[2714] = 0 - vX_[2724];
+ vX_[2610] = (vX_[2610] * vX_[1052] + vX_[2731] * vX_[536] + vX_[2732] * vX_[472] + vX_[2733] * vX_[656] + vX_[2734] * vX_[590] + vX_[2714] * vX_[598]) * 1 / vX_[581];
+ vX_[2658] = 0 - vX_[2543] * vX_[995] - vX_[2716] * vX_[686] - vX_[2726] * vX_[582] - vX_[2736] * vX_[552] - vX_[2737] * vX_[586] - vX_[2610] * vX_[599];
+ vX_[2723] = vX_[2706] - vX_[2658];
+ vX_[2713] = vX_[2605] + vX_[2695];
+ vX_[2545] = vX_[2723] * vX_[449] + vX_[2713] * vX_[447];
+ vX_[2722] = vX_[2724] - vX_[2658];
+ vX_[2712] = vX_[2722] * vX_[449];
+ vX_[2626] = vX_[2723] * vX_[435] + vX_[2713] * vX_[449];
+ vX_[2721] = vX_[2722] * vX_[447];
+ vX_[2711] = vX_[2626] + vX_[2721];
+ vX_[2596] = vX_[2545] * vX_[435] + vX_[2712] * vX_[447] + vX_[2711] * vX_[449];
+ vX_[2738] = 0 - vX_[2596];
+ vX_[2739] = vX_[2658] + vX_[2626] * vX_[435] + vX_[2712] * vX_[449];
+ vX_[2740] = 0 - vX_[2739];
+ vX_[2741] = vX_[2658] + vX_[2545] * vX_[449] + vX_[2721] * vX_[447];
+ vX_[2732] = vX_[2629] * vX_[995] + vX_[2708] * vX_[686] + vX_[2718] * vX_[582] + vX_[2728] * vX_[552] + vX_[2702] * vX_[586] + vX_[2732] * vX_[599];
+ vX_[2702] = vX_[2726] + vX_[2732];
+ vX_[2728] = vX_[2602] + vX_[2581] - vX_[2702];
+ vX_[2731] = vX_[2661] * vX_[995] + vX_[2707] * vX_[686] + vX_[2717] * vX_[582] + vX_[2727] * vX_[552] + vX_[2570] * vX_[586] + vX_[2731] * vX_[599];
+ vX_[2570] = vX_[2716] + vX_[2731];
+ vX_[2727] = 0 - (vX_[2600] + vX_[2580]) + vX_[2570];
+ vX_[2717] = (vX_[2570] * vX_[435] + vX_[2702] * vX_[449]) * -1;
+ vX_[2707] = 0 - (vX_[2728] * vX_[449] + vX_[2727] * vX_[447]) + vX_[2717];
+ vX_[2661] = vX_[2707] + vX_[2739] * vX_[436];
+ vX_[2718] = 0 - vX_[2661];
+ vX_[2708] = (vX_[2570] * vX_[449] + vX_[2702] * vX_[447]) * -1;
+ vX_[2629] = vX_[2728] * vX_[435] + vX_[2727] * vX_[449] + vX_[2708];
+ vX_[2742] = 0 - vX_[2741];
+ vX_[2743] = vX_[2629] + vX_[2596] * vX_[436] + vX_[2742] * vX_[355];
+ vX_[2744] = vX_[2603] + vX_[2699];
+ vX_[2745] = vX_[2560] + vX_[2698];
+ vX_[2746] = vX_[2744] * vX_[447] + vX_[2745] * vX_[449];
+ vX_[2747] = vX_[2586] + vX_[2533];
+ vX_[2748] = vX_[2475] + vX_[2697];
+ vX_[2749] = vX_[2747] * vX_[449] + vX_[2748] * vX_[447];
+ vX_[2750] = vX_[2746] * vX_[435] + vX_[2749] * vX_[449];
+ vX_[2714] = vX_[2539] * vX_[995] + vX_[2715] * vX_[686] + vX_[2725] * vX_[582] + vX_[2735] * vX_[552] + vX_[2571] * vX_[586] + vX_[2714] * vX_[599];
+ vX_[2571] = vX_[2610] + vX_[2714];
+ vX_[2734] = vX_[2657] * vX_[995] + vX_[2710] * vX_[686] + vX_[2720] * vX_[582] + vX_[2730] * vX_[552] + vX_[2700] * vX_[586] + vX_[2734] * vX_[599];
+ vX_[2700] = vX_[2737] + vX_[2734];
+ vX_[2730] = 0 - vX_[2700];
+ vX_[2720] = vX_[2571] * vX_[449] + vX_[2730] * vX_[447];
+ vX_[2710] = 0 - vX_[2720];
+ vX_[2657] = vX_[2750] + vX_[2710] * vX_[355] + vX_[2740] * vX_[451];
+ vX_[2735] = 0 - vX_[2657];
+ vX_[2725] = vX_[2744] * vX_[449] + vX_[2745] * vX_[435];
+ vX_[2715] = vX_[2747] * vX_[435] + vX_[2748] * vX_[449];
+ vX_[2539] = vX_[2725] * vX_[449] + vX_[2715] * vX_[447];
+ vX_[2700] = 0 - vX_[2700];
+ vX_[2751] = vX_[2571] * vX_[435] + vX_[2700] * vX_[449];
+ vX_[2752] = 0 - vX_[2751];
+ vX_[2753] = vX_[2539] + vX_[2752] * vX_[436] + vX_[2741] * vX_[451];
+ vX_[2754] = vX_[2725] * vX_[435] + vX_[2715] * vX_[449];
+ vX_[2755] = vX_[2754] + vX_[2720] * vX_[436];
+ vX_[2756] = vX_[2746] * vX_[449] + vX_[2749] * vX_[447];
+ vX_[2757] = vX_[2756] + vX_[2751] * vX_[355] + vX_[2738] * vX_[451];
+ vX_[2758] = 0 - vX_[2755] + vX_[2757];
+ vX_[2759] = 0 - vX_[2596];
+ vX_[2760] = 0 - vX_[2739];
+ vX_[2740] = vX_[2738] * vX_[573] + vX_[2740] * vX_[518] + vX_[2741] * vX_[414] + vX_[2718] * vX_[452] + vX_[2743] * vX_[463] + vX_[2735] * vX_[443] + vX_[2753] * vX_[437] + vX_[2758] * vX_[434] + vX_[2596] * vX_[567] + vX_[2759] * vX_[570] + vX_[2760] * vX_[517] + vX_[2741] * vX_[521];
+ vX_[2738] = 0 - vX_[2677];
+ vX_[2761] = vX_[2531] * -1 + vX_[2622] * -0.08;
+ vX_[2762] = vX_[2761] + vX_[2669] * -0.35;
+ vX_[2763] = vX_[2762] * 0.881 + (0 - vX_[2676]) * 0.1104774 + vX_[2680] * 0.0004405;
+ vX_[2764] = vX_[2674] * 0.00185880198235362 + vX_[2673] * 0.880992588508842 + vX_[2676] * -8.81e-05;
+ vX_[2765] = vX_[2738] * vX_[706] + vX_[2763] * vX_[635] + vX_[2764] * x_in[26];
+ vX_[2681] = 0 - vX_[2678] + vX_[2679] - vX_[2681];
+ vX_[2679] = 0 - vX_[2763];
+ vX_[2678] = vX_[2674] * 0.414812462825713 + vX_[2673] * 0.00185880198235362 + vX_[2680] * 8.81e-05;
+ vX_[2766] = vX_[2681] * vX_[706] + vX_[2679] * vX_[352] - vX_[2678] * x_in[26];
+ vX_[2767] = 0 - vX_[2684];
+ vX_[2768] = vX_[2761] * 3.146 + (0 - vX_[2669]) * 0.47422804 + vX_[2671] * -0.0825825;
+ vX_[2769] = vX_[2653] * vX_[411] + vX_[2621] * vX_[410] + vX_[2669] * vX_[387] + vX_[2671] * vX_[382];
+ vX_[2770] = vX_[2765] * vX_[357] + vX_[2766] * vX_[359] + vX_[2767] * vX_[628] + vX_[2768] * vX_[626] + vX_[2769] * x_in[25];
+ vX_[2686] = 0 - vX_[2685] + vX_[2686];
+ vX_[2685] = 0 - vX_[2768];
+ vX_[2771] = vX_[2653] * vX_[409] + vX_[2621] * vX_[411] + vX_[2669] * vX_[393] + vX_[2671] * vX_[392];
+ vX_[2772] = vX_[2765] * vX_[618] + vX_[2766] * vX_[357] + vX_[2686] * vX_[628] + vX_[2685] * vX_[651] - vX_[2771] * x_in[25];
+ vX_[2773] = vX_[2531] * -3.44;
+ vX_[2774] = vX_[2622] * 0.1466472;
+ vX_[2775] = vX_[2532] * 0.5824264;
+ vX_[2776] = 0 - vX_[2773] + vX_[2774] - vX_[2775];
+ vX_[2777] = 0 - vX_[2691];
+ vX_[2778] = vX_[2635] * vX_[463] + vX_[2531] * vX_[437] + vX_[2542] * vX_[434] + vX_[2541] * vX_[567] + vX_[2532] * vX_[515];
+ vX_[2779] = vX_[2770] * vX_[668] + vX_[2772] * vX_[383] + vX_[2776] * vX_[697] + vX_[2777] * vX_[704] - vX_[2778] * x_in[24];
+ vX_[2780] = vX_[2706] + vX_[2724] + vX_[2658] - vX_[2739] - vX_[2741];
+ vX_[2781] = 0 - vX_[2780];
+ vX_[2717] = vX_[2717] + vX_[2781] * vX_[436];
+ vX_[2708] = vX_[2708] + vX_[2780] * vX_[355];
+ vX_[2782] = 0 - vX_[2743];
+ vX_[2783] = 0 - vX_[2753];
+ vX_[2733] = vX_[2627] * vX_[995] + vX_[2709] * vX_[686] + vX_[2719] * vX_[582] + vX_[2729] * vX_[552] + vX_[2705] * vX_[586] + vX_[2733] * vX_[599];
+ vX_[2705] = vX_[2736] + vX_[2733] + vX_[2745] + vX_[2748] - vX_[2754] - vX_[2756];
+ vX_[2757] = vX_[2705] - vX_[2757];
+ vX_[2729] = 0 - vX_[2720];
+ vX_[2719] = 0 - vX_[2596];
+ vX_[2709] = 0 - vX_[2741];
+ vX_[2627] = vX_[2694] - vX_[2501];
+ vX_[2784] = vX_[2701] - vX_[2501];
+ vX_[2785] = vX_[2579] + vX_[2696];
+ vX_[2786] = vX_[2585] + vX_[2704];
+ vX_[2787] = vX_[2569] + vX_[2703];
+ vX_[2788] = 0 - vX_[2787];
+ vX_[2789] = vX_[2627] * vX_[449] + vX_[2785] * vX_[447];
+ vX_[2790] = vX_[2784] * vX_[449];
+ vX_[2791] = vX_[2627] * vX_[435] + vX_[2785] * vX_[449];
+ vX_[2792] = vX_[2784] * vX_[447];
+ vX_[2793] = vX_[2791] + vX_[2792];
+ vX_[2794] = vX_[2762] * 0.0004405 + vX_[2674] * -8.81e-05 + vX_[2680] * -0.000227999999999999;
+ vX_[2795] = vX_[2762] * 0.1104774 + vX_[2673] * -8.81e-05 + (0 - vX_[2676]) * 0.025713;
+ vX_[2796] = (0 - vX_[2674]) * 0.0004405;
+ vX_[2797] = (0 - vX_[2673]) * 0.1104774;
+ vX_[2798] = vX_[2796] + vX_[2797];
+ vX_[2798] = vX_[2738] * vX_[606] + vX_[2681] * vX_[234] + vX_[2794] * vX_[352] + vX_[2795] * vX_[635] + vX_[2798] * vX_[706] + vX_[2798] * vX_[706];
+ vX_[2681] = vX_[2761] * -0.0825825 + (0 - vX_[2540]) * 0.000102 + vX_[2669] * 0.007418 + vX_[2671] * 0.002735;
+ vX_[2738] = vX_[2761] * 0.47422804 + vX_[2540] * 2.1e-05 + (0 - vX_[2669]) * 0.084376 + (0 - vX_[2671]) * 0.007418;
+ vX_[2799] = (0 - vX_[2653]) * -0.0825825;
+ vX_[2800] = (0 - vX_[2621]) * 0.47422804;
+ vX_[2801] = vX_[2669] * 0.000102;
+ vX_[2802] = (0 - vX_[2671]) * 2.1e-05;
+ vX_[2803] = vX_[2799] + vX_[2800] + vX_[2801] + vX_[2802];
+ vX_[2803] = vX_[2798] + vX_[2765] * vX_[612] + vX_[2766] * vX_[362] + vX_[2767] * vX_[653] + vX_[2686] * vX_[649] + vX_[2681] * vX_[651] + vX_[2738] * vX_[626] + vX_[2803] * vX_[628] + vX_[2803] * vX_[628];
+ vX_[2686] = vX_[2531] * 0.5824264 + (0 - vX_[2622]) * -0.022734 + vX_[2541] * -3.6e-05 + vX_[2532] * -0.133138;
+ vX_[2767] = vX_[2531] * 0.1466472 + vX_[2622] * 0.009466 + (0 - vX_[2541]) * -5.1e-05 + vX_[2532] * -0.022734;
+ vX_[2804] = (0 - vX_[2635]) * 0.5824264;
+ vX_[2805] = (0 - vX_[2542]) * 0.1466472;
+ vX_[2806] = (0 - vX_[2622]) * -3.6e-05;
+ vX_[2807] = (0 - vX_[2532]) * -5.1e-05;
+ vX_[2808] = vX_[2804] + vX_[2805] + vX_[2806] - vX_[2807];
+ vX_[2809] = vX_[2635] * vX_[468] + vX_[2531] * vX_[515] + vX_[2542] * vX_[570] + vX_[2541] * vX_[569] + vX_[2532] * vX_[431];
+ vX_[2808] = vX_[2770] * vX_[662] + vX_[2772] * vX_[401] + vX_[2803] * -1 + vX_[2689] * vX_[702] + vX_[2777] * vX_[690] + vX_[2686] * vX_[697] + vX_[2767] * vX_[664] + vX_[2808] * vX_[704] + vX_[2808] * vX_[704] + vX_[2809] * x_in[24];
+ vX_[2675] = vX_[2674] * 0.1104774 + vX_[2673] * 0.0004405 + vX_[2675] * 0.025941;
+ vX_[2777] = (0 - vX_[2762]) * -8.81e-05;
+ vX_[2797] = vX_[2777] + vX_[2797];
+ vX_[2680] = vX_[2762] * 0.0004405 + vX_[2674] * 8.81e-05 + vX_[2680] * 0.000468;
+ vX_[2797] = vX_[2677] * vX_[731] + vX_[2679] * vX_[234] + vX_[2794] * vX_[706] + vX_[2675] * vX_[635] + vX_[2797] * vX_[352] + vX_[2797] * vX_[352] + vX_[2680] * x_in[26];
+ vX_[2777] = vX_[2777] + vX_[2796];
+ vX_[2762] = vX_[2762] * -0.1104774 + vX_[2673] * -8.81e-05 + vX_[2676] * 0.026409;
+ jac[966] = vX_[2678] * vX_[737] + vX_[2764] * vX_[606] + vX_[2762] * vX_[709] + vX_[2680] * vX_[352] + vX_[2798];
+ vX_[2762] = vX_[2682] * vX_[731] + vX_[2763] * vX_[606] + vX_[2795] * vX_[706] + vX_[2675] * vX_[352] + vX_[2777] * vX_[635] + vX_[2777] * vX_[635] - vX_[2762] * x_in[26];
+ vX_[2777] = vX_[2653] * 0.47422804 + vX_[2621] * -0.0825825 + vX_[2540] * 0.081641 + (0 - vX_[2669]) * 2.1e-05 + vX_[2671] * 0.000102;
+ vX_[2675] = (0 - vX_[2540]) * 0.007418;
+ vX_[2802] = vX_[2800] + vX_[2675] - vX_[2802];
+ vX_[2800] = vX_[2761] * vX_[377] + vX_[2653] * vX_[392] + vX_[2621] * vX_[382] + vX_[2669] * vX_[426] + vX_[2671] * vX_[422];
+ vX_[2802] = vX_[2683] * -0.35 + vX_[2797] * vX_[357] + vX_[2762] * vX_[359] + vX_[2684] * vX_[730] + vX_[2685] * vX_[649] + vX_[2681] * vX_[628] + vX_[2777] * vX_[626] + vX_[2802] * vX_[651] + vX_[2802] * vX_[651] + vX_[2800] * x_in[25];
+ vX_[2675] = vX_[2799] - vX_[2675] - vX_[2801];
+ vX_[2801] = vX_[2761] * vX_[389] + vX_[2653] * vX_[393] + vX_[2621] * vX_[387] + vX_[2669] * vX_[420] + vX_[2671] * vX_[426];
+ jac[930] = vX_[2771] * vX_[739] + vX_[2769] * vX_[653] + vX_[2801] * vX_[715] + vX_[2800] * vX_[651] + vX_[2803];
+ vX_[2801] = vX_[2797] * vX_[360] + vX_[2762] * vX_[357] + vX_[2687] * vX_[730] + vX_[2768] * vX_[653] + vX_[2738] * vX_[628] + vX_[2777] * vX_[651] + vX_[2675] * vX_[626] + vX_[2675] * vX_[626] - vX_[2801] * x_in[25];
+ vX_[2775] = vX_[2773] - vX_[2774] + vX_[2775];
+ vX_[2774] = vX_[2635] * 0.1466472 + vX_[2542] * 0.5824264 + vX_[2622] * -5.1e-05 + (0 - vX_[2541]) * -0.123672 + (0 - vX_[2532]) * -3.6e-05;
+ vX_[2773] = vX_[2541] * -0.022734;
+ vX_[2806] = vX_[2804] - vX_[2806] - vX_[2773];
+ vX_[2804] = vX_[2635] * vX_[405] + vX_[2531] * vX_[567] + vX_[2542] * vX_[516] + vX_[2541] * vX_[514] + vX_[2532] * vX_[569];
+ vX_[2806] = vX_[2802] * vX_[395] + vX_[2801] * vX_[383] + vX_[2775] * vX_[702] + vX_[2691] * vX_[725] + vX_[2774] * vX_[697] + vX_[2767] * vX_[704] + vX_[2806] * vX_[664] + vX_[2806] * vX_[664] - vX_[2804] * x_in[24];
+ vX_[2767] = 0 - vX_[2717];
+ vX_[2691] = 0 - vX_[2708];
+ vX_[2705] = 0 - vX_[2705] + vX_[2755];
+ vX_[2755] = 0 - vX_[2751];
+ vX_[2787] = 0 - vX_[2787];
+ jac[246] = 0 - (0 - (vX_[2506] * vX_[718] + vX_[2693] * x_in[22]) + (vX_[2604] * vX_[718] + vX_[2740] * vX_[449] + vX_[2693] * x_in[20]) * -0.3735 - (vX_[2389] * vX_[949] + vX_[2779] * x_in[23]) + (vX_[2588] * vX_[949] + vX_[2779] * x_in[19]) * 0.3735 + (vX_[2543] * vX_[949] + (vX_[2710] * vX_[518] + vX_[2751] * vX_[573] + vX_[2780] * vX_[462] + vX_[2742] * vX_[464] + vX_[2717] * vX_[434] + vX_[2708] * vX_[443] + vX_[2782] * vX_[446] + vX_[2783] * vX_[463] + vX_[2757] * vX_[452] + vX_[2729] * vX_[516] + vX_[2751] * vX_[570] + vX_[2719] * vX_[405] + vX_[2709] * vX_[523]) * -1 + vX_[2779] * x_in[18]) * -0.207 - (vX_[2604] * vX_[688] + vX_[2588] * vX_[747] + vX_[2627] * vX_[681] + vX_[2784] * vX_[679] + vX_[2785] * vX_[677] + vX_[2786] * vX_[654] + vX_[2788] * vX_[452] + vX_[2789] * vX_[658] + vX_[2790] * vX_[657] + vX_[2793] * vX_[434] + vX_[2744] * vX_[643] + vX_[2747] * vX_[623] + vX_[2570] * vX_[470] + vX_[2702] * vX_[460] + vX_[2745] * vX_[642] + vX_[2748] * vX_[620] + vX_[2725] * vX_[619] + vX_[2746] * vX_[621] + vX_[2715] * vX_[572] + vX_[2749] * vX_[622] + vX_[2728] * vX_[459] + vX_[2727] * vX_[469] + vX_[2723] * vX_[579] + vX_[2722] * vX_[577] + vX_[2713] * vX_[575] + vX_[2571] * vX_[596] + vX_[2700] * vX_[597] + vX_[2545] * vX_[524] + vX_[2712] * vX_[520] + vX_[2711] * vX_[574] + vX_[2740] * vX_[450] + vX_[2808] * x_in[19] + vX_[2806] * x_in[20])) * vX_[1083] + (vX_[2389] * vX_[718] + vX_[2604] * vX_[747] + vX_[2627] * vX_[677] + vX_[2786] * vX_[452] + vX_[2791] * vX_[657] + vX_[2789] * vX_[434] + vX_[2747] * vX_[620] + vX_[2570] * vX_[460] + vX_[2745] * vX_[643] + vX_[2725] * vX_[572] + vX_[2746] * vX_[622] + vX_[2728] * vX_[469] + vX_[2723] * vX_[575] + vX_[2571] * vX_[597] + vX_[2626] * vX_[520] + vX_[2545] * vX_[574] + (vX_[2720] * vX_[571] + vX_[2752] * vX_[414] + vX_[2596] * vX_[464] + vX_[2781] * vX_[438] + vX_[2739] * vX_[453] + vX_[2767] * vX_[437] + vX_[2661] * vX_[446] + vX_[2691] * vX_[434] + vX_[2657] * vX_[452] + vX_[2705] * vX_[463] + vX_[2720] * vX_[567] + vX_[2755] * vX_[515] + vX_[2596] * vX_[468] + vX_[2739] * vX_[512]) * 0.207 + vX_[2693] * x_in[23] + vX_[2808] * x_in[20] + (vX_[2588] * vX_[718] + vX_[2740] * vX_[447] + vX_[2693] * x_in[19]) * -0.3735 + (vX_[2543] * vX_[718] + vX_[2693] * x_in[18]) * 0.207 - (vX_[2506] * vX_[949] + vX_[2779] * x_in[22]) + (vX_[2604] * vX_[949] + vX_[2779] * x_in[20]) * -0.3735 - (vX_[2588] * vX_[688] + vX_[2784] * vX_[678] + vX_[2785] * vX_[681] + vX_[2787] * vX_[654] + vX_[2790] * vX_[434] + vX_[2792] * vX_[658] + vX_[2744] * vX_[642] + vX_[2702] * vX_[470] + vX_[2748] * vX_[623] + vX_[2715] * vX_[619] + vX_[2749] * vX_[621] + vX_[2727] * vX_[459] + vX_[2722] * vX_[576] + vX_[2713] * vX_[579] + vX_[2730] * vX_[596] + vX_[2712] * vX_[574] + vX_[2721] * vX_[524] + vX_[2740] * vX_[448] + vX_[2806] * x_in[19])) * vX_[1093];
+ vX_[2785] = 1 / vX_[145];
+ vX_[2784] = (0 - vX_[2785]) * 2.1e-05;
+ vX_[2627] = (0 - vX_[2785]) * -0.000102;
+ vX_[2781] = vX_[2784] * vX_[148] + vX_[2627] * vX_[128];
+ vX_[2780] = vX_[2781] * 1 / vX_[194];
+ vX_[2740] = 0 - vX_[2780];
+ vX_[2752] = vX_[2740] * vX_[168];
+ vX_[2700] = 0 - vX_[2785];
+ vX_[2715] = vX_[2700] * vX_[152];
+ vX_[2725] = 0 - vX_[2785];
+ vX_[2710] = vX_[2725] * vX_[143];
+ vX_[2730] = 0 - vX_[2780];
+ vX_[2571] = vX_[2715] * vX_[903] + vX_[2710] * vX_[148] + vX_[2730] * vX_[158];
+ vX_[2749] = 0 - vX_[2780];
+ vX_[2781] = vX_[2752] * vX_[880] + vX_[2571] * vX_[126] + (vX_[2781] + vX_[2749] * vX_[194]) * -1;
+ vX_[2748] = 0 - vX_[2785];
+ vX_[2747] = 0 - vX_[2780];
+ vX_[2746] = vX_[2715] * vX_[886] + vX_[2710] * vX_[163] + vX_[2748] * vX_[145] * -1 + vX_[2747] * vX_[220];
+ vX_[2745] = 0 - vX_[2780];
+ vX_[2744] = vX_[2784] * vX_[157] + vX_[2627] * vX_[148] + vX_[2745] * vX_[229];
+ vX_[2742] = 0 - (vX_[2752] * vX_[210] + vX_[2571] * vX_[892] + vX_[2746] * vX_[211] + vX_[2744] * vX_[209]) + vX_[2781] * vX_[599];
+ vX_[2727] = 0 - vX_[2742];
+ vX_[2570] = 0 - vX_[2780];
+ vX_[2728] = vX_[2715] * vX_[148] + vX_[2710] * vX_[128] + vX_[2570] * vX_[206];
+ vX_[2702] = 0 - vX_[2742];
+ vX_[2711] = 0 - (vX_[2728] * 0.207 + vX_[2752] * vX_[212] + vX_[2571] * vX_[891] + vX_[2746] * vX_[197] + vX_[2744] * vX_[211]) + vX_[2781] * vX_[586] + vX_[2702] * vX_[630];
+ vX_[2721] = 0 - vX_[2711];
+ vX_[2626] = 0 - vX_[2742];
+ vX_[2712] = 0 - vX_[2711];
+ vX_[2728] = 0 - vX_[2728] * -1 + vX_[2781] * vX_[552] + vX_[2626] * vX_[519] + vX_[2712] * vX_[645];
+ vX_[2722] = 0 - vX_[2728];
+ vX_[2545] = 0 - (vX_[2752] * vX_[879] + vX_[2571] * vX_[893]) + vX_[2781] * vX_[582] + vX_[2727] * vX_[564] + vX_[2721] * vX_[566] + vX_[2722] * vX_[684];
+ vX_[2713] = 0 - vX_[2742];
+ vX_[2723] = 0 - vX_[2711];
+ vX_[2675] = 0 - vX_[2728];
+ vX_[2777] = 0 - vX_[2545];
+ vX_[2738] = (0 - (vX_[2752] * vX_[197] + vX_[2571] * vX_[125]) + vX_[2781] * vX_[686] + vX_[2713] * vX_[692] + vX_[2723] * vX_[694] + vX_[2675] * vX_[700] + vX_[2777] * vX_[674]) * 1 / vX_[682];
+ vX_[2768] = 0 - vX_[2738];
+ vX_[2545] = (vX_[2545] + vX_[2768] * vX_[705]) * 1 / vX_[680];
+ vX_[2687] = 0 - vX_[2738];
+ vX_[2800] = 0 - vX_[2545];
+ vX_[2728] = (vX_[2728] + vX_[2687] * vX_[699] + vX_[2800] * vX_[655]) * 1 / vX_[683];
+ vX_[2803] = 0 - vX_[2738];
+ vX_[2771] = 0 - vX_[2545];
+ vX_[2769] = 0 - vX_[2728];
+ vX_[2711] = (vX_[2711] + vX_[2803] * vX_[595] + vX_[2771] * vX_[644] + vX_[2769] * vX_[550]) * 1 / vX_[580];
+ vX_[2799] = vX_[2728] * -1 + vX_[2711] * 0.207;
+ vX_[2681] = 0 - vX_[2738];
+ vX_[2685] = 0 - vX_[2545];
+ vX_[2684] = 0 - vX_[2728];
+ vX_[2683] = 0 - vX_[2711];
+ vX_[2742] = (vX_[2742] + vX_[2681] * vX_[691] + vX_[2685] * vX_[624] + vX_[2684] * vX_[471] + vX_[2683] * vX_[629]) * 1 / vX_[578];
+ vX_[2795] = 0 - vX_[2738];
+ vX_[2763] = 0 - vX_[2545];
+ vX_[2682] = 0 - vX_[2728];
+ vX_[2680] = 0 - vX_[2711];
+ vX_[2798] = 0 - vX_[2742];
+ vX_[2678] = (0 - vX_[2781] + vX_[2795] * vX_[536] + vX_[2763] * vX_[472] + vX_[2682] * vX_[656] + vX_[2680] * vX_[590] + vX_[2798] * vX_[598]) * 1 / vX_[581];
+ vX_[2764] = vX_[2738] * vX_[583] + vX_[2545] * vX_[587] + vX_[2711] * vX_[696] + vX_[2742] * vX_[591] + vX_[2678] * vX_[354];
+ vX_[2676] = vX_[2711] * vX_[435] + vX_[2742] * vX_[449];
+ vX_[2673] = vX_[2799] * vX_[383] + vX_[2764] * vX_[668] + vX_[2676] * vX_[662];
+ vX_[2796] = vX_[2799] * vX_[356] + vX_[2764] * vX_[383] + vX_[2676] * vX_[401];
+ vX_[2794] = vX_[2676] * -1;
+ vX_[2679] = vX_[2673] * 1 / vX_[380];
+ vX_[2677] = vX_[2796] * 1 / vX_[380];
+ vX_[2674] = vX_[2794] * 1 / vX_[380];
+ vX_[2810] = vX_[2678] * -1;
+ vX_[2811] = vX_[2799] * 1 / vX_[432];
+ vX_[2812] = vX_[2738] * vX_[435] + vX_[2545] * vX_[353] + vX_[2711] * vX_[450] + vX_[2742] * vX_[448] + vX_[2678] * vX_[724];
+ vX_[2813] = vX_[2812] * 1 / vX_[432];
+ vX_[2814] = vX_[2764] * 1 / vX_[432];
+ vX_[2815] = vX_[2810] * 1 / vX_[432];
+ vX_[2816] = vX_[2676] * 1 / vX_[432];
+ vX_[2817] = vX_[2711] * vX_[449] + vX_[2742] * vX_[447];
+ vX_[2818] = vX_[2817] * 1 / vX_[432];
+ vX_[2810] = vX_[2810] - (vX_[2811] * vX_[444] + vX_[2813] * vX_[406] + vX_[2814] * vX_[396] + vX_[2815] * vX_[432] + vX_[2816] * vX_[458] + vX_[2818] * vX_[467]);
+ vX_[2819] = vX_[2810] * vX_[383] + vX_[2817] * vX_[395];
+ vX_[2820] = vX_[2819] * 1 / vX_[380];
+ vX_[2821] = vX_[2810] * vX_[356] + vX_[2817] * vX_[383];
+ vX_[2822] = vX_[2821] * 1 / vX_[380];
+ vX_[2794] = vX_[2794] - (vX_[2679] * vX_[390] + vX_[2677] * vX_[378] + vX_[2674] * vX_[380] + vX_[2820] * vX_[386] + vX_[2822] * vX_[368]);
+ vX_[2823] = vX_[2673] * vX_[359] + vX_[2796] * vX_[357] + vX_[2794] * vX_[362];
+ vX_[2824] = vX_[2673] * vX_[357] + vX_[2796] * vX_[618] + vX_[2794] * vX_[612];
+ vX_[2825] = vX_[2794] - (vX_[2824] * 38.1956380581338 * 0.1104774 + vX_[2823] * 38.1956380581338 * -0.0004405 + vX_[2794] * 38.1956380581338 * 0.026181);
+ vX_[2826] = vX_[2819] * vX_[357] + vX_[2821] * vX_[360];
+ vX_[2827] = vX_[2823] * 0.881 + (0 - vX_[2825]) * 0.0004405 + vX_[2826] * -8.81e-05;
+ vX_[2828] = vX_[2824] * -0.881;
+ vX_[2829] = vX_[2825] * 0.1104774;
+ vX_[2830] = vX_[2819] * vX_[359] + vX_[2821] * vX_[357];
+ vX_[2831] = vX_[2830] * -8.81e-05;
+ vX_[2832] = vX_[2828] - vX_[2829] + vX_[2831];
+ vX_[2833] = vX_[2827] * vX_[352] + vX_[2832] * vX_[635];
+ vX_[2834] = vX_[2796] * 3.146 + (0 - vX_[2794]) * -0.0825825;
+ vX_[2835] = vX_[2673] * -3.146;
+ vX_[2836] = vX_[2794] * 0.47422804;
+ vX_[2837] = vX_[2835] - vX_[2836];
+ vX_[2838] = vX_[2833] + vX_[2834] * vX_[651] + vX_[2837] * vX_[626];
+ vX_[2839] = vX_[2764] * 3.44 + vX_[2676] * 0.5824264;
+ vX_[2840] = 0 - vX_[2839];
+ vX_[2841] = vX_[2799] * 3.44 + (0 - vX_[2676]) * 0.1466472;
+ vX_[2842] = vX_[2799] * vX_[452] + vX_[2812] * vX_[434] + vX_[2764] * vX_[443] + vX_[2676] * vX_[516] + vX_[2817] * vX_[570];
+ vX_[2843] = vX_[2838] * -1 + vX_[2840] * vX_[697] + vX_[2841] * vX_[664] + vX_[2842] * x_in[24];
+ vX_[2844] = 0 - vX_[2738] * vX_[1014];
+ vX_[2845] = 0 - vX_[2844];
+ vX_[2846] = 0 - vX_[2844];
+ vX_[2777] = (vX_[2777] * vX_[1014] + vX_[2846] * vX_[705]) * 1 / vX_[680];
+ vX_[2847] = 0 - vX_[2777];
+ vX_[2848] = 0 - vX_[2844];
+ vX_[2849] = 0 - vX_[2777];
+ vX_[2675] = (vX_[2675] * vX_[1014] + vX_[2848] * vX_[699] + vX_[2849] * vX_[655]) * 1 / vX_[683];
+ vX_[2850] = 0 - vX_[2675];
+ vX_[2723] = (vX_[2723] * vX_[1014] + vX_[2845] * vX_[595] + vX_[2847] * vX_[644] + vX_[2850] * vX_[550]) * 1 / vX_[580];
+ vX_[2846] = vX_[2768] * vX_[703] + vX_[2846] * vX_[674];
+ vX_[2768] = 0 - vX_[2846];
+ vX_[2851] = 0 - vX_[2545] * vX_[703] - vX_[2777] * vX_[674];
+ vX_[2852] = 0 - vX_[2851];
+ vX_[2853] = 0 - vX_[2846];
+ vX_[2854] = 0 - vX_[2851];
+ vX_[2722] = (vX_[2722] * vX_[728] + vX_[2853] * vX_[699] + vX_[2854] * vX_[655]) * 1 / vX_[683];
+ vX_[2855] = 0 - vX_[2722];
+ vX_[2721] = (vX_[2721] * vX_[728] + vX_[2768] * vX_[595] + vX_[2852] * vX_[644] + vX_[2855] * vX_[550]) * 1 / vX_[580];
+ vX_[2853] = vX_[2687] * vX_[1016] + vX_[2848] * vX_[700] + vX_[2853] * vX_[684];
+ vX_[2848] = 0 - vX_[2853];
+ vX_[2854] = vX_[2800] * vX_[1016] + vX_[2849] * vX_[700] + vX_[2854] * vX_[684];
+ vX_[2849] = 0 - vX_[2854];
+ vX_[2800] = 0 - vX_[2728] * vX_[1016] - vX_[2675] * vX_[700] - vX_[2722] * vX_[684];
+ vX_[2687] = 0 - vX_[2800];
+ vX_[2712] = (vX_[2712] * vX_[1018] + vX_[2848] * vX_[595] + vX_[2849] * vX_[644] + vX_[2687] * vX_[550]) * 1 / vX_[580];
+ vX_[2856] = 0 - vX_[2711] * vX_[861] - vX_[2723] * vX_[694] - vX_[2721] * vX_[566] - vX_[2712] * vX_[645];
+ vX_[2857] = 0 - vX_[2844];
+ vX_[2858] = 0 - vX_[2777];
+ vX_[2859] = 0 - vX_[2675];
+ vX_[2860] = 0 - vX_[2723];
+ vX_[2861] = 0 - vX_[2844];
+ vX_[2862] = 0 - vX_[2777];
+ vX_[2863] = 0 - vX_[2675];
+ vX_[2864] = 0 - vX_[2723];
+ vX_[2713] = (vX_[2713] * vX_[1014] + vX_[2861] * vX_[691] + vX_[2862] * vX_[624] + vX_[2863] * vX_[471] + vX_[2864] * vX_[629]) * 1 / vX_[578];
+ vX_[2865] = 0 - vX_[2713];
+ vX_[2866] = (vX_[2781] * vX_[1014] + vX_[2857] * vX_[536] + vX_[2858] * vX_[472] + vX_[2859] * vX_[656] + vX_[2860] * vX_[590] + vX_[2865] * vX_[598]) * 1 / vX_[581];
+ vX_[2867] = 0 - vX_[2846];
+ vX_[2868] = 0 - vX_[2851];
+ vX_[2869] = 0 - vX_[2722];
+ vX_[2870] = 0 - vX_[2721];
+ vX_[2871] = 0 - vX_[2846];
+ vX_[2872] = 0 - vX_[2851];
+ vX_[2873] = 0 - vX_[2722];
+ vX_[2874] = 0 - vX_[2721];
+ vX_[2727] = (vX_[2727] * vX_[728] + vX_[2871] * vX_[691] + vX_[2872] * vX_[624] + vX_[2873] * vX_[471] + vX_[2874] * vX_[629]) * 1 / vX_[578];
+ vX_[2875] = 0 - vX_[2727];
+ vX_[2876] = (vX_[2781] * vX_[728] + vX_[2867] * vX_[536] + vX_[2868] * vX_[472] + vX_[2869] * vX_[656] + vX_[2870] * vX_[590] + vX_[2875] * vX_[598]) * 1 / vX_[581];
+ vX_[2877] = 0 - vX_[2853];
+ vX_[2878] = 0 - vX_[2854];
+ vX_[2879] = 0 - vX_[2800];
+ vX_[2880] = 0 - vX_[2712];
+ vX_[2881] = 0 - vX_[2853];
+ vX_[2882] = 0 - vX_[2854];
+ vX_[2883] = 0 - vX_[2800];
+ vX_[2884] = 0 - vX_[2712];
+ vX_[2626] = (vX_[2626] * vX_[1018] + vX_[2881] * vX_[691] + vX_[2882] * vX_[624] + vX_[2883] * vX_[471] + vX_[2884] * vX_[629]) * 1 / vX_[578];
+ vX_[2885] = 0 - vX_[2626];
+ vX_[2886] = (vX_[2781] * vX_[1018] + vX_[2877] * vX_[536] + vX_[2878] * vX_[472] + vX_[2879] * vX_[656] + vX_[2880] * vX_[590] + vX_[2885] * vX_[598]) * 1 / vX_[581];
+ vX_[2848] = vX_[2803] * vX_[861] + vX_[2845] * vX_[694] + vX_[2768] * vX_[566] + vX_[2848] * vX_[645];
+ vX_[2768] = 0 - vX_[2848];
+ vX_[2849] = vX_[2771] * vX_[861] + vX_[2847] * vX_[694] + vX_[2852] * vX_[566] + vX_[2849] * vX_[645];
+ vX_[2852] = 0 - vX_[2849];
+ vX_[2687] = vX_[2769] * vX_[861] + vX_[2850] * vX_[694] + vX_[2855] * vX_[566] + vX_[2687] * vX_[645];
+ vX_[2855] = 0 - vX_[2687];
+ vX_[2850] = 0 - vX_[2856];
+ vX_[2769] = 0 - vX_[2848];
+ vX_[2847] = 0 - vX_[2849];
+ vX_[2771] = 0 - vX_[2687];
+ vX_[2845] = 0 - vX_[2856];
+ vX_[2702] = (vX_[2702] * vX_[1050] + vX_[2769] * vX_[691] + vX_[2847] * vX_[624] + vX_[2771] * vX_[471] + vX_[2845] * vX_[629]) * 1 / vX_[578];
+ vX_[2803] = 0 - vX_[2702];
+ vX_[2887] = (vX_[2781] * vX_[1050] + vX_[2768] * vX_[536] + vX_[2852] * vX_[472] + vX_[2855] * vX_[656] + vX_[2850] * vX_[590] + vX_[2803] * vX_[598]) * 1 / vX_[581];
+ vX_[2769] = vX_[2681] * vX_[922] + vX_[2861] * vX_[692] + vX_[2871] * vX_[564] + vX_[2881] * vX_[519] + vX_[2769] * vX_[630];
+ vX_[2881] = 0 - vX_[2769];
+ vX_[2847] = vX_[2685] * vX_[922] + vX_[2862] * vX_[692] + vX_[2872] * vX_[564] + vX_[2882] * vX_[519] + vX_[2847] * vX_[630];
+ vX_[2882] = 0 - vX_[2847];
+ vX_[2771] = vX_[2684] * vX_[922] + vX_[2863] * vX_[692] + vX_[2873] * vX_[564] + vX_[2883] * vX_[519] + vX_[2771] * vX_[630];
+ vX_[2883] = 0 - vX_[2771];
+ vX_[2845] = vX_[2683] * vX_[922] + vX_[2864] * vX_[692] + vX_[2874] * vX_[564] + vX_[2884] * vX_[519] + vX_[2845] * vX_[630];
+ vX_[2884] = 0 - vX_[2845];
+ vX_[2874] = 0 - vX_[2742] * vX_[922] - vX_[2713] * vX_[692] - vX_[2727] * vX_[564] - vX_[2626] * vX_[519] - vX_[2702] * vX_[630];
+ vX_[2864] = 0 - vX_[2874];
+ vX_[2781] = (vX_[2781] * vX_[1052] + vX_[2881] * vX_[536] + vX_[2882] * vX_[472] + vX_[2883] * vX_[656] + vX_[2884] * vX_[590] + vX_[2864] * vX_[598]) * 1 / vX_[581];
+ vX_[2683] = 0 - vX_[2678] * vX_[995] - vX_[2866] * vX_[686] - vX_[2876] * vX_[582] - vX_[2886] * vX_[552] - vX_[2887] * vX_[586] - vX_[2781] * vX_[599];
+ vX_[2873] = vX_[2856] - vX_[2683];
+ vX_[2863] = vX_[2702] + vX_[2845];
+ vX_[2684] = vX_[2873] * vX_[449] + vX_[2863] * vX_[447];
+ vX_[2872] = vX_[2874] - vX_[2683];
+ vX_[2862] = vX_[2872] * vX_[449];
+ vX_[2685] = vX_[2873] * vX_[435] + vX_[2863] * vX_[449];
+ vX_[2871] = vX_[2872] * vX_[447];
+ vX_[2861] = vX_[2685] + vX_[2871];
+ vX_[2681] = vX_[2684] * vX_[435] + vX_[2862] * vX_[447] + vX_[2861] * vX_[449];
+ vX_[2888] = 0 - vX_[2681];
+ vX_[2889] = vX_[2683] + vX_[2685] * vX_[435] + vX_[2862] * vX_[449];
+ vX_[2890] = 0 - vX_[2889];
+ vX_[2891] = vX_[2683] + vX_[2684] * vX_[449] + vX_[2871] * vX_[447];
+ vX_[2882] = vX_[2763] * vX_[995] + vX_[2858] * vX_[686] + vX_[2868] * vX_[582] + vX_[2878] * vX_[552] + vX_[2852] * vX_[586] + vX_[2882] * vX_[599];
+ vX_[2852] = vX_[2876] + vX_[2882];
+ vX_[2878] = vX_[2626] + vX_[2771] - vX_[2852];
+ vX_[2881] = vX_[2795] * vX_[995] + vX_[2857] * vX_[686] + vX_[2867] * vX_[582] + vX_[2877] * vX_[552] + vX_[2768] * vX_[586] + vX_[2881] * vX_[599];
+ vX_[2768] = vX_[2866] + vX_[2881];
+ vX_[2877] = 0 - (vX_[2712] + vX_[2687]) + vX_[2768];
+ vX_[2867] = (vX_[2768] * vX_[435] + vX_[2852] * vX_[449]) * -1;
+ vX_[2857] = 0 - (vX_[2878] * vX_[449] + vX_[2877] * vX_[447]) + vX_[2867];
+ vX_[2795] = vX_[2857] + vX_[2889] * vX_[436];
+ vX_[2868] = 0 - vX_[2795];
+ vX_[2858] = (vX_[2768] * vX_[449] + vX_[2852] * vX_[447]) * -1;
+ vX_[2763] = vX_[2878] * vX_[435] + vX_[2877] * vX_[449] + vX_[2858];
+ vX_[2892] = 0 - vX_[2891];
+ vX_[2893] = vX_[2763] + vX_[2681] * vX_[436] + vX_[2892] * vX_[355];
+ vX_[2894] = vX_[2721] + vX_[2849];
+ vX_[2895] = vX_[2723] + vX_[2848];
+ vX_[2896] = vX_[2894] * vX_[447] + vX_[2895] * vX_[449];
+ vX_[2897] = vX_[2713] + vX_[2769];
+ vX_[2898] = vX_[2727] + vX_[2847];
+ vX_[2899] = vX_[2897] * vX_[449] + vX_[2898] * vX_[447];
+ vX_[2900] = vX_[2896] * vX_[435] + vX_[2899] * vX_[449];
+ vX_[2864] = vX_[2798] * vX_[995] + vX_[2865] * vX_[686] + vX_[2875] * vX_[582] + vX_[2885] * vX_[552] + vX_[2803] * vX_[586] + vX_[2864] * vX_[599];
+ vX_[2803] = vX_[2781] + vX_[2864];
+ vX_[2884] = vX_[2680] * vX_[995] + vX_[2860] * vX_[686] + vX_[2870] * vX_[582] + vX_[2880] * vX_[552] + vX_[2850] * vX_[586] + vX_[2884] * vX_[599];
+ vX_[2850] = vX_[2887] + vX_[2884];
+ vX_[2880] = 0 - vX_[2850];
+ vX_[2870] = vX_[2803] * vX_[449] + vX_[2880] * vX_[447];
+ vX_[2860] = 0 - vX_[2870];
+ vX_[2680] = vX_[2900] + vX_[2860] * vX_[355] + vX_[2890] * vX_[451];
+ vX_[2885] = 0 - vX_[2680];
+ vX_[2875] = vX_[2894] * vX_[449] + vX_[2895] * vX_[435];
+ vX_[2865] = vX_[2897] * vX_[435] + vX_[2898] * vX_[449];
+ vX_[2798] = vX_[2875] * vX_[449] + vX_[2865] * vX_[447];
+ vX_[2850] = 0 - vX_[2850];
+ vX_[2901] = vX_[2803] * vX_[435] + vX_[2850] * vX_[449];
+ vX_[2902] = 0 - vX_[2901];
+ vX_[2903] = vX_[2798] + vX_[2902] * vX_[436] + vX_[2891] * vX_[451];
+ vX_[2904] = vX_[2875] * vX_[435] + vX_[2865] * vX_[449];
+ vX_[2905] = vX_[2904] + vX_[2870] * vX_[436];
+ vX_[2906] = vX_[2896] * vX_[449] + vX_[2899] * vX_[447];
+ vX_[2907] = vX_[2906] + vX_[2901] * vX_[355] + vX_[2888] * vX_[451];
+ vX_[2908] = 0 - vX_[2905] + vX_[2907];
+ vX_[2909] = 0 - vX_[2681];
+ vX_[2910] = 0 - vX_[2889];
+ vX_[2890] = vX_[2888] * vX_[573] + vX_[2890] * vX_[518] + vX_[2891] * vX_[414] + vX_[2868] * vX_[452] + vX_[2893] * vX_[463] + vX_[2885] * vX_[443] + vX_[2903] * vX_[437] + vX_[2908] * vX_[434] + vX_[2681] * vX_[567] + vX_[2909] * vX_[570] + vX_[2910] * vX_[517] + vX_[2891] * vX_[521];
+ vX_[2888] = 0 - vX_[2827];
+ vX_[2911] = vX_[2812] * -1 + vX_[2810] * -0.08;
+ vX_[2912] = vX_[2911] + vX_[2819] * -0.35;
+ vX_[2913] = vX_[2912] * 0.881 + (0 - vX_[2826]) * 0.1104774 + vX_[2830] * 0.0004405;
+ vX_[2914] = vX_[2824] * 0.00185880198235362 + vX_[2823] * 0.880992588508842 + vX_[2826] * -8.81e-05;
+ vX_[2915] = vX_[2888] * vX_[706] + vX_[2913] * vX_[635] + vX_[2914] * x_in[26];
+ vX_[2831] = 0 - vX_[2828] + vX_[2829] - vX_[2831];
+ vX_[2829] = 0 - vX_[2913];
+ vX_[2828] = vX_[2824] * 0.414812462825713 + vX_[2823] * 0.00185880198235362 + vX_[2830] * 8.81e-05;
+ vX_[2916] = vX_[2831] * vX_[706] + vX_[2829] * vX_[352] - vX_[2828] * x_in[26];
+ vX_[2917] = 0 - vX_[2834];
+ vX_[2918] = vX_[2911] * 3.146 + (0 - vX_[2819]) * 0.47422804 + vX_[2821] * -0.0825825;
+ vX_[2919] = vX_[2673] * vX_[411] + vX_[2796] * vX_[410] + vX_[2819] * vX_[387] + vX_[2821] * vX_[382];
+ vX_[2920] = vX_[2915] * vX_[357] + vX_[2916] * vX_[359] + vX_[2917] * vX_[628] + vX_[2918] * vX_[626] + vX_[2919] * x_in[25];
+ vX_[2836] = 0 - vX_[2835] + vX_[2836];
+ vX_[2835] = 0 - vX_[2918];
+ vX_[2921] = vX_[2673] * vX_[409] + vX_[2796] * vX_[411] + vX_[2819] * vX_[393] + vX_[2821] * vX_[392];
+ vX_[2922] = vX_[2915] * vX_[618] + vX_[2916] * vX_[357] + vX_[2836] * vX_[628] + vX_[2835] * vX_[651] - vX_[2921] * x_in[25];
+ vX_[2923] = vX_[2812] * -3.44;
+ vX_[2924] = vX_[2810] * 0.1466472;
+ vX_[2925] = vX_[2817] * 0.5824264;
+ vX_[2926] = 0 - vX_[2923] + vX_[2924] - vX_[2925];
+ vX_[2927] = 0 - vX_[2841];
+ vX_[2928] = vX_[2799] * vX_[463] + vX_[2812] * vX_[437] + vX_[2764] * vX_[434] + vX_[2676] * vX_[567] + vX_[2817] * vX_[515];
+ vX_[2929] = vX_[2920] * vX_[668] + vX_[2922] * vX_[383] + vX_[2926] * vX_[697] + vX_[2927] * vX_[704] - vX_[2928] * x_in[24];
+ vX_[2930] = vX_[2856] + vX_[2874] + vX_[2683] - vX_[2889] - vX_[2891];
+ vX_[2931] = 0 - vX_[2930];
+ vX_[2867] = vX_[2867] + vX_[2931] * vX_[436];
+ vX_[2858] = vX_[2858] + vX_[2930] * vX_[355];
+ vX_[2932] = 0 - vX_[2893];
+ vX_[2933] = 0 - vX_[2903];
+ vX_[2883] = vX_[2682] * vX_[995] + vX_[2859] * vX_[686] + vX_[2869] * vX_[582] + vX_[2879] * vX_[552] + vX_[2855] * vX_[586] + vX_[2883] * vX_[599];
+ vX_[2855] = vX_[2886] + vX_[2883] + vX_[2895] + vX_[2898] - vX_[2904] - vX_[2906];
+ vX_[2907] = vX_[2855] - vX_[2907];
+ vX_[2879] = 0 - vX_[2870];
+ vX_[2869] = 0 - vX_[2681];
+ vX_[2859] = 0 - vX_[2891];
+ vX_[2682] = vX_[2844] - vX_[2800];
+ vX_[2934] = vX_[2851] - vX_[2800];
+ vX_[2935] = vX_[2777] + vX_[2846];
+ vX_[2936] = vX_[2722] + vX_[2854];
+ vX_[2937] = vX_[2675] + vX_[2853];
+ vX_[2938] = 0 - vX_[2937];
+ vX_[2939] = vX_[2682] * vX_[449] + vX_[2935] * vX_[447];
+ vX_[2940] = vX_[2934] * vX_[449];
+ vX_[2941] = vX_[2682] * vX_[435] + vX_[2935] * vX_[449];
+ vX_[2942] = vX_[2934] * vX_[447];
+ vX_[2943] = vX_[2941] + vX_[2942];
+ vX_[2944] = vX_[2912] * 0.0004405 + vX_[2824] * -8.81e-05 + vX_[2830] * -0.000227999999999999;
+ vX_[2945] = vX_[2912] * 0.1104774 + vX_[2823] * -8.81e-05 + (0 - vX_[2826]) * 0.025713;
+ vX_[2946] = (0 - vX_[2824]) * 0.0004405;
+ vX_[2947] = (0 - vX_[2823]) * 0.1104774;
+ vX_[2948] = vX_[2946] + vX_[2947];
+ vX_[2948] = vX_[2888] * vX_[606] + vX_[2831] * vX_[234] + vX_[2944] * vX_[352] + vX_[2945] * vX_[635] + vX_[2948] * vX_[706] + vX_[2948] * vX_[706];
+ vX_[2831] = vX_[2911] * -0.0825825 + (0 - vX_[2794]) * 0.000102 + vX_[2819] * 0.007418 + vX_[2821] * 0.002735;
+ vX_[2888] = vX_[2911] * 0.47422804 + vX_[2794] * 2.1e-05 + (0 - vX_[2819]) * 0.084376 + (0 - vX_[2821]) * 0.007418;
+ vX_[2949] = (0 - vX_[2673]) * -0.0825825;
+ vX_[2950] = (0 - vX_[2796]) * 0.47422804;
+ vX_[2951] = vX_[2819] * 0.000102;
+ vX_[2952] = (0 - vX_[2821]) * 2.1e-05;
+ vX_[2953] = vX_[2949] + vX_[2950] + vX_[2951] + vX_[2952];
+ vX_[2953] = vX_[2948] + vX_[2915] * vX_[612] + vX_[2916] * vX_[362] + vX_[2917] * vX_[653] + vX_[2836] * vX_[649] + vX_[2831] * vX_[651] + vX_[2888] * vX_[626] + vX_[2953] * vX_[628] + vX_[2953] * vX_[628];
+ vX_[2836] = vX_[2812] * 0.5824264 + (0 - vX_[2810]) * -0.022734 + vX_[2676] * -3.6e-05 + vX_[2817] * -0.133138;
+ vX_[2917] = vX_[2812] * 0.1466472 + vX_[2810] * 0.009466 + (0 - vX_[2676]) * -5.1e-05 + vX_[2817] * -0.022734;
+ vX_[2954] = (0 - vX_[2799]) * 0.5824264;
+ vX_[2955] = (0 - vX_[2764]) * 0.1466472;
+ vX_[2956] = (0 - vX_[2810]) * -3.6e-05;
+ vX_[2957] = (0 - vX_[2817]) * -5.1e-05;
+ vX_[2958] = vX_[2954] + vX_[2955] + vX_[2956] - vX_[2957];
+ vX_[2959] = vX_[2799] * vX_[468] + vX_[2812] * vX_[515] + vX_[2764] * vX_[570] + vX_[2676] * vX_[569] + vX_[2817] * vX_[431];
+ vX_[2958] = vX_[2920] * vX_[662] + vX_[2922] * vX_[401] + vX_[2953] * -1 + vX_[2839] * vX_[702] + vX_[2927] * vX_[690] + vX_[2836] * vX_[697] + vX_[2917] * vX_[664] + vX_[2958] * vX_[704] + vX_[2958] * vX_[704] + vX_[2959] * x_in[24];
+ vX_[2825] = vX_[2824] * 0.1104774 + vX_[2823] * 0.0004405 + vX_[2825] * 0.025941;
+ vX_[2927] = (0 - vX_[2912]) * -8.81e-05;
+ vX_[2947] = vX_[2927] + vX_[2947];
+ vX_[2830] = vX_[2912] * 0.0004405 + vX_[2824] * 8.81e-05 + vX_[2830] * 0.000468;
+ vX_[2947] = vX_[2827] * vX_[731] + vX_[2829] * vX_[234] + vX_[2944] * vX_[706] + vX_[2825] * vX_[635] + vX_[2947] * vX_[352] + vX_[2947] * vX_[352] + vX_[2830] * x_in[26];
+ vX_[2927] = vX_[2927] + vX_[2946];
+ vX_[2912] = vX_[2912] * -0.1104774 + vX_[2823] * -8.81e-05 + vX_[2826] * 0.026409;
+ jac[967] = vX_[2828] * vX_[737] + vX_[2914] * vX_[606] + vX_[2912] * vX_[709] + vX_[2830] * vX_[352] + vX_[2948];
+ vX_[2912] = vX_[2832] * vX_[731] + vX_[2913] * vX_[606] + vX_[2945] * vX_[706] + vX_[2825] * vX_[352] + vX_[2927] * vX_[635] + vX_[2927] * vX_[635] - vX_[2912] * x_in[26];
+ vX_[2927] = vX_[2673] * 0.47422804 + vX_[2796] * -0.0825825 + vX_[2794] * 0.081641 + (0 - vX_[2819]) * 2.1e-05 + vX_[2821] * 0.000102;
+ vX_[2825] = (0 - vX_[2794]) * 0.007418;
+ vX_[2952] = vX_[2950] + vX_[2825] - vX_[2952];
+ vX_[2950] = vX_[2911] * vX_[377] + vX_[2673] * vX_[392] + vX_[2796] * vX_[382] + vX_[2819] * vX_[426] + vX_[2821] * vX_[422];
+ vX_[2952] = vX_[2833] * -0.35 + vX_[2947] * vX_[357] + vX_[2912] * vX_[359] + vX_[2834] * vX_[730] + vX_[2835] * vX_[649] + vX_[2831] * vX_[628] + vX_[2927] * vX_[626] + vX_[2952] * vX_[651] + vX_[2952] * vX_[651] + vX_[2950] * x_in[25];
+ vX_[2825] = vX_[2949] - vX_[2825] - vX_[2951];
+ vX_[2951] = vX_[2911] * vX_[389] + vX_[2673] * vX_[393] + vX_[2796] * vX_[387] + vX_[2819] * vX_[420] + vX_[2821] * vX_[426];
+ jac[931] = vX_[2921] * vX_[739] + vX_[2919] * vX_[653] + vX_[2951] * vX_[715] + vX_[2950] * vX_[651] + vX_[2953];
+ vX_[2951] = vX_[2947] * vX_[360] + vX_[2912] * vX_[357] + vX_[2837] * vX_[730] + vX_[2918] * vX_[653] + vX_[2888] * vX_[628] + vX_[2927] * vX_[651] + vX_[2825] * vX_[626] + vX_[2825] * vX_[626] - vX_[2951] * x_in[25];
+ vX_[2925] = vX_[2923] - vX_[2924] + vX_[2925];
+ vX_[2924] = vX_[2799] * 0.1466472 + vX_[2764] * 0.5824264 + vX_[2810] * -5.1e-05 + (0 - vX_[2676]) * -0.123672 + (0 - vX_[2817]) * -3.6e-05;
+ vX_[2923] = vX_[2676] * -0.022734;
+ vX_[2956] = vX_[2954] - vX_[2956] - vX_[2923];
+ vX_[2954] = vX_[2799] * vX_[405] + vX_[2812] * vX_[567] + vX_[2764] * vX_[516] + vX_[2676] * vX_[514] + vX_[2817] * vX_[569];
+ vX_[2956] = vX_[2952] * vX_[395] + vX_[2951] * vX_[383] + vX_[2925] * vX_[702] + vX_[2841] * vX_[725] + vX_[2924] * vX_[697] + vX_[2917] * vX_[704] + vX_[2956] * vX_[664] + vX_[2956] * vX_[664] - vX_[2954] * x_in[24];
+ vX_[2917] = 0 - vX_[2867];
+ vX_[2841] = 0 - vX_[2858];
+ vX_[2855] = 0 - vX_[2855] + vX_[2905];
+ vX_[2905] = 0 - vX_[2901];
+ vX_[2937] = 0 - vX_[2937];
+ jac[247] = 0 - (0 - (vX_[2545] * vX_[718] + vX_[2843] * x_in[22]) + (vX_[2711] * vX_[718] + vX_[2890] * vX_[449] + vX_[2843] * x_in[20]) * -0.3735 - (vX_[2738] * vX_[949] + vX_[2929] * x_in[23]) + (vX_[2742] * vX_[949] + vX_[2929] * x_in[19]) * 0.3735 + (vX_[2678] * vX_[949] + (vX_[2860] * vX_[518] + vX_[2901] * vX_[573] + vX_[2930] * vX_[462] + vX_[2892] * vX_[464] + vX_[2867] * vX_[434] + vX_[2858] * vX_[443] + vX_[2932] * vX_[446] + vX_[2933] * vX_[463] + vX_[2907] * vX_[452] + vX_[2879] * vX_[516] + vX_[2901] * vX_[570] + vX_[2869] * vX_[405] + vX_[2859] * vX_[523]) * -1 + vX_[2929] * x_in[18]) * -0.207 - (vX_[2711] * vX_[688] + vX_[2742] * vX_[747] + vX_[2682] * vX_[681] + vX_[2934] * vX_[679] + vX_[2935] * vX_[677] + vX_[2936] * vX_[654] + vX_[2938] * vX_[452] + vX_[2939] * vX_[658] + vX_[2940] * vX_[657] + vX_[2943] * vX_[434] + vX_[2894] * vX_[643] + vX_[2897] * vX_[623] + vX_[2768] * vX_[470] + vX_[2852] * vX_[460] + vX_[2895] * vX_[642] + vX_[2898] * vX_[620] + vX_[2875] * vX_[619] + vX_[2896] * vX_[621] + vX_[2865] * vX_[572] + vX_[2899] * vX_[622] + vX_[2878] * vX_[459] + vX_[2877] * vX_[469] + vX_[2873] * vX_[579] + vX_[2872] * vX_[577] + vX_[2863] * vX_[575] + vX_[2803] * vX_[596] + vX_[2850] * vX_[597] + vX_[2684] * vX_[524] + vX_[2862] * vX_[520] + vX_[2861] * vX_[574] + vX_[2890] * vX_[450] + vX_[2958] * x_in[19] + vX_[2956] * x_in[20])) * vX_[1083] + (vX_[2738] * vX_[718] + vX_[2711] * vX_[747] + vX_[2682] * vX_[677] + vX_[2936] * vX_[452] + vX_[2941] * vX_[657] + vX_[2939] * vX_[434] + vX_[2897] * vX_[620] + vX_[2768] * vX_[460] + vX_[2895] * vX_[643] + vX_[2875] * vX_[572] + vX_[2896] * vX_[622] + vX_[2878] * vX_[469] + vX_[2873] * vX_[575] + vX_[2803] * vX_[597] + vX_[2685] * vX_[520] + vX_[2684] * vX_[574] + (vX_[2870] * vX_[571] + vX_[2902] * vX_[414] + vX_[2681] * vX_[464] + vX_[2931] * vX_[438] + vX_[2889] * vX_[453] + vX_[2917] * vX_[437] + vX_[2795] * vX_[446] + vX_[2841] * vX_[434] + vX_[2680] * vX_[452] + vX_[2855] * vX_[463] + vX_[2870] * vX_[567] + vX_[2905] * vX_[515] + vX_[2681] * vX_[468] + vX_[2889] * vX_[512]) * 0.207 + vX_[2843] * x_in[23] + vX_[2958] * x_in[20] + (vX_[2742] * vX_[718] + vX_[2890] * vX_[447] + vX_[2843] * x_in[19]) * -0.3735 + (vX_[2678] * vX_[718] + vX_[2843] * x_in[18]) * 0.207 - (vX_[2545] * vX_[949] + vX_[2929] * x_in[22]) + (vX_[2711] * vX_[949] + vX_[2929] * x_in[20]) * -0.3735 - (vX_[2742] * vX_[688] + vX_[2934] * vX_[678] + vX_[2935] * vX_[681] + vX_[2937] * vX_[654] + vX_[2940] * vX_[434] + vX_[2942] * vX_[658] + vX_[2894] * vX_[642] + vX_[2852] * vX_[470] + vX_[2898] * vX_[623] + vX_[2865] * vX_[619] + vX_[2899] * vX_[621] + vX_[2877] * vX_[459] + vX_[2872] * vX_[576] + vX_[2863] * vX_[579] + vX_[2880] * vX_[596] + vX_[2862] * vX_[574] + vX_[2871] * vX_[524] + vX_[2890] * vX_[448] + vX_[2956] * x_in[19])) * vX_[1093];
+ vX_[2935] = -1. + -4.20629464115198 * vX_[912] + -0.0336503571292158 * vX_[130];
+ vX_[2934] = vX_[2935] * 1 / vX_[145];
+ vX_[2682] = (0 - vX_[2934]) * 2.1e-05;
+ vX_[2931] = (0 - vX_[2934]) * -0.000102;
+ vX_[2930] = vX_[2682] * vX_[148] + vX_[2931] * vX_[128];
+ vX_[2890] = vX_[2930] * 1 / vX_[194];
+ vX_[2902] = 0 - vX_[2890];
+ vX_[2850] = vX_[2902] * vX_[168];
+ vX_[2865] = 0 - vX_[2934];
+ vX_[2875] = -4.20629464115198 * vX_[131] + -0.0336503571292158 * vX_[129] + vX_[2865] * vX_[152];
+ vX_[2860] = 0 - vX_[2934];
+ vX_[2880] = -4.20629464115198 * vX_[911] + -0.0336503571292158 * vX_[131] + vX_[2860] * vX_[143];
+ vX_[2803] = 0 - vX_[2890];
+ vX_[2899] = vX_[2875] * vX_[903] + vX_[2880] * vX_[148] + vX_[2803] * vX_[158];
+ vX_[2898] = 0 - vX_[2890];
+ vX_[2930] = vX_[2850] * vX_[880] + vX_[2899] * vX_[126] + (vX_[2930] + vX_[2898] * vX_[194]) * -1;
+ vX_[2897] = 0 - vX_[2934];
+ vX_[2896] = 0 - vX_[2890];
+ vX_[2935] = vX_[2875] * vX_[886] + vX_[2880] * vX_[163] + (vX_[2935] + vX_[2897] * vX_[145]) * -1 + vX_[2896] * vX_[220];
+ vX_[2895] = 0 - vX_[2890];
+ vX_[2894] = vX_[2682] * vX_[157] + vX_[2931] * vX_[148] + vX_[2895] * vX_[229];
+ vX_[2892] = 0 - (vX_[2850] * vX_[210] + vX_[2899] * vX_[892] + vX_[2935] * vX_[211] + vX_[2894] * vX_[209]) + vX_[2930] * vX_[599];
+ vX_[2877] = 0 - vX_[2892];
+ vX_[2768] = 0 - vX_[2890];
+ vX_[2878] = vX_[2875] * vX_[148] + vX_[2880] * vX_[128] + vX_[2768] * vX_[206];
+ vX_[2852] = 0 - vX_[2892];
+ vX_[2861] = 0 - (vX_[2878] * 0.207 + vX_[2850] * vX_[212] + vX_[2899] * vX_[891] + vX_[2935] * vX_[197] + vX_[2894] * vX_[211]) + vX_[2930] * vX_[586] + vX_[2852] * vX_[630];
+ vX_[2871] = 0 - vX_[2861];
+ vX_[2685] = 0 - vX_[2892];
+ vX_[2862] = 0 - vX_[2861];
+ vX_[2878] = 0 - vX_[2878] * -1 + vX_[2930] * vX_[552] + vX_[2685] * vX_[519] + vX_[2862] * vX_[645];
+ vX_[2872] = 0 - vX_[2878];
+ vX_[2684] = 0 - (vX_[2850] * vX_[879] + vX_[2899] * vX_[893]) + vX_[2930] * vX_[582] + vX_[2877] * vX_[564] + vX_[2871] * vX_[566] + vX_[2872] * vX_[684];
+ vX_[2863] = 0 - vX_[2892];
+ vX_[2873] = 0 - vX_[2861];
+ vX_[2825] = 0 - vX_[2878];
+ vX_[2927] = 0 - vX_[2684];
+ vX_[2888] = (0 - (vX_[2850] * vX_[197] + vX_[2899] * vX_[125]) + vX_[2930] * vX_[686] + vX_[2863] * vX_[692] + vX_[2873] * vX_[694] + vX_[2825] * vX_[700] + vX_[2927] * vX_[674]) * 1 / vX_[682];
+ vX_[2918] = 0 - vX_[2888];
+ vX_[2684] = (vX_[2684] + vX_[2918] * vX_[705]) * 1 / vX_[680];
+ vX_[2837] = 0 - vX_[2888];
+ vX_[2950] = 0 - vX_[2684];
+ vX_[2878] = (vX_[2878] + vX_[2837] * vX_[699] + vX_[2950] * vX_[655]) * 1 / vX_[683];
+ vX_[2953] = 0 - vX_[2888];
+ vX_[2921] = 0 - vX_[2684];
+ vX_[2919] = 0 - vX_[2878];
+ vX_[2861] = (vX_[2861] + vX_[2953] * vX_[595] + vX_[2921] * vX_[644] + vX_[2919] * vX_[550]) * 1 / vX_[580];
+ vX_[2949] = vX_[2878] * -1 + vX_[2861] * 0.207;
+ vX_[2831] = 0 - vX_[2888];
+ vX_[2835] = 0 - vX_[2684];
+ vX_[2834] = 0 - vX_[2878];
+ vX_[2833] = 0 - vX_[2861];
+ vX_[2892] = (vX_[2892] + vX_[2831] * vX_[691] + vX_[2835] * vX_[624] + vX_[2834] * vX_[471] + vX_[2833] * vX_[629]) * 1 / vX_[578];
+ vX_[2945] = 0 - vX_[2888];
+ vX_[2913] = 0 - vX_[2684];
+ vX_[2832] = 0 - vX_[2878];
+ vX_[2830] = 0 - vX_[2861];
+ vX_[2948] = 0 - vX_[2892];
+ vX_[2828] = (0 - vX_[2930] + vX_[2945] * vX_[536] + vX_[2913] * vX_[472] + vX_[2832] * vX_[656] + vX_[2830] * vX_[590] + vX_[2948] * vX_[598]) * 1 / vX_[581];
+ vX_[2914] = vX_[2888] * vX_[583] + vX_[2684] * vX_[587] + vX_[2861] * vX_[696] + vX_[2892] * vX_[591] + vX_[2828] * vX_[354];
+ vX_[2826] = vX_[2861] * vX_[435] + vX_[2892] * vX_[449];
+ vX_[2823] = vX_[2949] * vX_[383] + vX_[2914] * vX_[668] + vX_[2826] * vX_[662];
+ vX_[2946] = vX_[2949] * vX_[356] + vX_[2914] * vX_[383] + vX_[2826] * vX_[401];
+ vX_[2944] = vX_[2826] * -1;
+ vX_[2829] = vX_[2823] * 1 / vX_[380];
+ vX_[2827] = vX_[2946] * 1 / vX_[380];
+ vX_[2824] = vX_[2944] * 1 / vX_[380];
+ vX_[2960] = vX_[2828] * -1;
+ vX_[2961] = vX_[2949] * 1 / vX_[432];
+ vX_[2962] = vX_[2888] * vX_[435] + vX_[2684] * vX_[353] + vX_[2861] * vX_[450] + vX_[2892] * vX_[448] + vX_[2828] * vX_[724];
+ vX_[2963] = vX_[2962] * 1 / vX_[432];
+ vX_[2964] = vX_[2914] * 1 / vX_[432];
+ vX_[2965] = vX_[2960] * 1 / vX_[432];
+ vX_[2966] = vX_[2826] * 1 / vX_[432];
+ vX_[2967] = vX_[2861] * vX_[449] + vX_[2892] * vX_[447];
+ vX_[2968] = vX_[2967] * 1 / vX_[432];
+ vX_[2960] = vX_[2960] - (vX_[2961] * vX_[444] + vX_[2963] * vX_[406] + vX_[2964] * vX_[396] + vX_[2965] * vX_[432] + vX_[2966] * vX_[458] + vX_[2968] * vX_[467]);
+ vX_[2969] = vX_[2960] * vX_[383] + vX_[2967] * vX_[395];
+ vX_[2970] = vX_[2969] * 1 / vX_[380];
+ vX_[2971] = vX_[2960] * vX_[356] + vX_[2967] * vX_[383];
+ vX_[2972] = vX_[2971] * 1 / vX_[380];
+ vX_[2944] = vX_[2944] - (vX_[2829] * vX_[390] + vX_[2827] * vX_[378] + vX_[2824] * vX_[380] + vX_[2970] * vX_[386] + vX_[2972] * vX_[368]);
+ vX_[2973] = vX_[2823] * vX_[359] + vX_[2946] * vX_[357] + vX_[2944] * vX_[362];
+ vX_[2974] = vX_[2823] * vX_[357] + vX_[2946] * vX_[618] + vX_[2944] * vX_[612];
+ vX_[2975] = vX_[2944] - (vX_[2974] * 38.1956380581338 * 0.1104774 + vX_[2973] * 38.1956380581338 * -0.0004405 + vX_[2944] * 38.1956380581338 * 0.026181);
+ vX_[2976] = vX_[2969] * vX_[357] + vX_[2971] * vX_[360];
+ vX_[2977] = vX_[2973] * 0.881 + (0 - vX_[2975]) * 0.0004405 + vX_[2976] * -8.81e-05;
+ vX_[2978] = vX_[2974] * -0.881;
+ vX_[2979] = vX_[2975] * 0.1104774;
+ vX_[2980] = vX_[2969] * vX_[359] + vX_[2971] * vX_[357];
+ vX_[2981] = vX_[2980] * -8.81e-05;
+ vX_[2982] = vX_[2978] - vX_[2979] + vX_[2981];
+ vX_[2983] = vX_[2977] * vX_[352] + vX_[2982] * vX_[635];
+ vX_[2984] = vX_[2946] * 3.146 + (0 - vX_[2944]) * -0.0825825;
+ vX_[2985] = vX_[2823] * -3.146;
+ vX_[2986] = vX_[2944] * 0.47422804;
+ vX_[2987] = vX_[2985] - vX_[2986];
+ vX_[2988] = vX_[2983] + vX_[2984] * vX_[651] + vX_[2987] * vX_[626];
+ vX_[2989] = vX_[2914] * 3.44 + vX_[2826] * 0.5824264;
+ vX_[2990] = 0 - vX_[2989];
+ vX_[2991] = vX_[2949] * 3.44 + (0 - vX_[2826]) * 0.1466472;
+ vX_[2992] = vX_[2949] * vX_[452] + vX_[2962] * vX_[434] + vX_[2914] * vX_[443] + vX_[2826] * vX_[516] + vX_[2967] * vX_[570];
+ vX_[2993] = vX_[2988] * -1 + vX_[2990] * vX_[697] + vX_[2991] * vX_[664] + vX_[2992] * x_in[24];
+ vX_[2994] = 0 - vX_[2888] * vX_[1014];
+ vX_[2995] = 0 - vX_[2994];
+ vX_[2996] = 0 - vX_[2994];
+ vX_[2927] = (vX_[2927] * vX_[1014] + vX_[2996] * vX_[705]) * 1 / vX_[680];
+ vX_[2997] = 0 - vX_[2927];
+ vX_[2998] = 0 - vX_[2994];
+ vX_[2999] = 0 - vX_[2927];
+ vX_[2825] = (vX_[2825] * vX_[1014] + vX_[2998] * vX_[699] + vX_[2999] * vX_[655]) * 1 / vX_[683];
+ vX_[3000] = 0 - vX_[2825];
+ vX_[2873] = (vX_[2873] * vX_[1014] + vX_[2995] * vX_[595] + vX_[2997] * vX_[644] + vX_[3000] * vX_[550]) * 1 / vX_[580];
+ vX_[2996] = vX_[2918] * vX_[703] + vX_[2996] * vX_[674];
+ vX_[2918] = 0 - vX_[2996];
+ vX_[3001] = 0 - vX_[2684] * vX_[703] - vX_[2927] * vX_[674];
+ vX_[3002] = 0 - vX_[3001];
+ vX_[3003] = 0 - vX_[2996];
+ vX_[3004] = 0 - vX_[3001];
+ vX_[2872] = (vX_[2872] * vX_[728] + vX_[3003] * vX_[699] + vX_[3004] * vX_[655]) * 1 / vX_[683];
+ vX_[3005] = 0 - vX_[2872];
+ vX_[2871] = (vX_[2871] * vX_[728] + vX_[2918] * vX_[595] + vX_[3002] * vX_[644] + vX_[3005] * vX_[550]) * 1 / vX_[580];
+ vX_[3003] = vX_[2837] * vX_[1016] + vX_[2998] * vX_[700] + vX_[3003] * vX_[684];
+ vX_[2998] = 0 - vX_[3003];
+ vX_[3004] = vX_[2950] * vX_[1016] + vX_[2999] * vX_[700] + vX_[3004] * vX_[684];
+ vX_[2999] = 0 - vX_[3004];
+ vX_[2950] = 0 - vX_[2878] * vX_[1016] - vX_[2825] * vX_[700] - vX_[2872] * vX_[684];
+ vX_[2837] = 0 - vX_[2950];
+ vX_[2862] = (vX_[2862] * vX_[1018] + vX_[2998] * vX_[595] + vX_[2999] * vX_[644] + vX_[2837] * vX_[550]) * 1 / vX_[580];
+ vX_[3006] = 0 - vX_[2861] * vX_[861] - vX_[2873] * vX_[694] - vX_[2871] * vX_[566] - vX_[2862] * vX_[645];
+ vX_[3007] = 0 - vX_[2994];
+ vX_[3008] = 0 - vX_[2927];
+ vX_[3009] = 0 - vX_[2825];
+ vX_[3010] = 0 - vX_[2873];
+ vX_[3011] = 0 - vX_[2994];
+ vX_[3012] = 0 - vX_[2927];
+ vX_[3013] = 0 - vX_[2825];
+ vX_[3014] = 0 - vX_[2873];
+ vX_[2863] = (vX_[2863] * vX_[1014] + vX_[3011] * vX_[691] + vX_[3012] * vX_[624] + vX_[3013] * vX_[471] + vX_[3014] * vX_[629]) * 1 / vX_[578];
+ vX_[3015] = 0 - vX_[2863];
+ vX_[3016] = (vX_[2930] * vX_[1014] + vX_[3007] * vX_[536] + vX_[3008] * vX_[472] + vX_[3009] * vX_[656] + vX_[3010] * vX_[590] + vX_[3015] * vX_[598]) * 1 / vX_[581];
+ vX_[3017] = 0 - vX_[2996];
+ vX_[3018] = 0 - vX_[3001];
+ vX_[3019] = 0 - vX_[2872];
+ vX_[3020] = 0 - vX_[2871];
+ vX_[3021] = 0 - vX_[2996];
+ vX_[3022] = 0 - vX_[3001];
+ vX_[3023] = 0 - vX_[2872];
+ vX_[3024] = 0 - vX_[2871];
+ vX_[2877] = (vX_[2877] * vX_[728] + vX_[3021] * vX_[691] + vX_[3022] * vX_[624] + vX_[3023] * vX_[471] + vX_[3024] * vX_[629]) * 1 / vX_[578];
+ vX_[3025] = 0 - vX_[2877];
+ vX_[3026] = (vX_[2930] * vX_[728] + vX_[3017] * vX_[536] + vX_[3018] * vX_[472] + vX_[3019] * vX_[656] + vX_[3020] * vX_[590] + vX_[3025] * vX_[598]) * 1 / vX_[581];
+ vX_[3027] = 0 - vX_[3003];
+ vX_[3028] = 0 - vX_[3004];
+ vX_[3029] = 0 - vX_[2950];
+ vX_[3030] = 0 - vX_[2862];
+ vX_[3031] = 0 - vX_[3003];
+ vX_[3032] = 0 - vX_[3004];
+ vX_[3033] = 0 - vX_[2950];
+ vX_[3034] = 0 - vX_[2862];
+ vX_[2685] = (vX_[2685] * vX_[1018] + vX_[3031] * vX_[691] + vX_[3032] * vX_[624] + vX_[3033] * vX_[471] + vX_[3034] * vX_[629]) * 1 / vX_[578];
+ vX_[3035] = 0 - vX_[2685];
+ vX_[3036] = (vX_[2930] * vX_[1018] + vX_[3027] * vX_[536] + vX_[3028] * vX_[472] + vX_[3029] * vX_[656] + vX_[3030] * vX_[590] + vX_[3035] * vX_[598]) * 1 / vX_[581];
+ vX_[2998] = vX_[2953] * vX_[861] + vX_[2995] * vX_[694] + vX_[2918] * vX_[566] + vX_[2998] * vX_[645];
+ vX_[2918] = 0 - vX_[2998];
+ vX_[2999] = vX_[2921] * vX_[861] + vX_[2997] * vX_[694] + vX_[3002] * vX_[566] + vX_[2999] * vX_[645];
+ vX_[3002] = 0 - vX_[2999];
+ vX_[2837] = vX_[2919] * vX_[861] + vX_[3000] * vX_[694] + vX_[3005] * vX_[566] + vX_[2837] * vX_[645];
+ vX_[3005] = 0 - vX_[2837];
+ vX_[3000] = 0 - vX_[3006];
+ vX_[2919] = 0 - vX_[2998];
+ vX_[2997] = 0 - vX_[2999];
+ vX_[2921] = 0 - vX_[2837];
+ vX_[2995] = 0 - vX_[3006];
+ vX_[2852] = (vX_[2852] * vX_[1050] + vX_[2919] * vX_[691] + vX_[2997] * vX_[624] + vX_[2921] * vX_[471] + vX_[2995] * vX_[629]) * 1 / vX_[578];
+ vX_[2953] = 0 - vX_[2852];
+ vX_[3037] = (vX_[2930] * vX_[1050] + vX_[2918] * vX_[536] + vX_[3002] * vX_[472] + vX_[3005] * vX_[656] + vX_[3000] * vX_[590] + vX_[2953] * vX_[598]) * 1 / vX_[581];
+ vX_[2919] = vX_[2831] * vX_[922] + vX_[3011] * vX_[692] + vX_[3021] * vX_[564] + vX_[3031] * vX_[519] + vX_[2919] * vX_[630];
+ vX_[3031] = 0 - vX_[2919];
+ vX_[2997] = vX_[2835] * vX_[922] + vX_[3012] * vX_[692] + vX_[3022] * vX_[564] + vX_[3032] * vX_[519] + vX_[2997] * vX_[630];
+ vX_[3032] = 0 - vX_[2997];
+ vX_[2921] = vX_[2834] * vX_[922] + vX_[3013] * vX_[692] + vX_[3023] * vX_[564] + vX_[3033] * vX_[519] + vX_[2921] * vX_[630];
+ vX_[3033] = 0 - vX_[2921];
+ vX_[2995] = vX_[2833] * vX_[922] + vX_[3014] * vX_[692] + vX_[3024] * vX_[564] + vX_[3034] * vX_[519] + vX_[2995] * vX_[630];
+ vX_[3034] = 0 - vX_[2995];
+ vX_[3024] = 0 - vX_[2892] * vX_[922] - vX_[2863] * vX_[692] - vX_[2877] * vX_[564] - vX_[2685] * vX_[519] - vX_[2852] * vX_[630];
+ vX_[3014] = 0 - vX_[3024];
+ vX_[2930] = (vX_[2930] * vX_[1052] + vX_[3031] * vX_[536] + vX_[3032] * vX_[472] + vX_[3033] * vX_[656] + vX_[3034] * vX_[590] + vX_[3014] * vX_[598]) * 1 / vX_[581];
+ vX_[2833] = 0 - vX_[2828] * vX_[995] - vX_[3016] * vX_[686] - vX_[3026] * vX_[582] - vX_[3036] * vX_[552] - vX_[3037] * vX_[586] - vX_[2930] * vX_[599];
+ vX_[3023] = vX_[3006] - vX_[2833];
+ vX_[3013] = vX_[2852] + vX_[2995];
+ vX_[2834] = vX_[3023] * vX_[449] + vX_[3013] * vX_[447];
+ vX_[3022] = vX_[3024] - vX_[2833];
+ vX_[3012] = vX_[3022] * vX_[449];
+ vX_[2835] = vX_[3023] * vX_[435] + vX_[3013] * vX_[449];
+ vX_[3021] = vX_[3022] * vX_[447];
+ vX_[3011] = vX_[2835] + vX_[3021];
+ vX_[2831] = vX_[2834] * vX_[435] + vX_[3012] * vX_[447] + vX_[3011] * vX_[449];
+ vX_[3038] = 0 - vX_[2831];
+ vX_[3039] = vX_[2833] + vX_[2835] * vX_[435] + vX_[3012] * vX_[449];
+ vX_[3040] = 0 - vX_[3039];
+ vX_[3041] = vX_[2833] + vX_[2834] * vX_[449] + vX_[3021] * vX_[447];
+ vX_[3032] = vX_[2913] * vX_[995] + vX_[3008] * vX_[686] + vX_[3018] * vX_[582] + vX_[3028] * vX_[552] + vX_[3002] * vX_[586] + vX_[3032] * vX_[599];
+ vX_[3002] = vX_[3026] + vX_[3032];
+ vX_[3028] = vX_[2685] + vX_[2921] - vX_[3002];
+ vX_[3031] = vX_[2945] * vX_[995] + vX_[3007] * vX_[686] + vX_[3017] * vX_[582] + vX_[3027] * vX_[552] + vX_[2918] * vX_[586] + vX_[3031] * vX_[599];
+ vX_[2918] = vX_[3016] + vX_[3031];
+ vX_[3027] = 0 - (vX_[2862] + vX_[2837]) + vX_[2918];
+ vX_[3017] = (vX_[2918] * vX_[435] + vX_[3002] * vX_[449]) * -1;
+ vX_[3007] = 0 - (vX_[3028] * vX_[449] + vX_[3027] * vX_[447]) + vX_[3017];
+ vX_[2945] = vX_[3007] + vX_[3039] * vX_[436];
+ vX_[3018] = 0 - vX_[2945];
+ vX_[3008] = (vX_[2918] * vX_[449] + vX_[3002] * vX_[447]) * -1;
+ vX_[2913] = vX_[3028] * vX_[435] + vX_[3027] * vX_[449] + vX_[3008];
+ vX_[3042] = 0 - vX_[3041];
+ vX_[3043] = vX_[2913] + vX_[2831] * vX_[436] + vX_[3042] * vX_[355];
+ vX_[3044] = vX_[2871] + vX_[2999];
+ vX_[3045] = vX_[2873] + vX_[2998];
+ vX_[3046] = vX_[3044] * vX_[447] + vX_[3045] * vX_[449];
+ vX_[3047] = vX_[2863] + vX_[2919];
+ vX_[3048] = vX_[2877] + vX_[2997];
+ vX_[3049] = vX_[3047] * vX_[449] + vX_[3048] * vX_[447];
+ vX_[3050] = vX_[3046] * vX_[435] + vX_[3049] * vX_[449];
+ vX_[3014] = vX_[2948] * vX_[995] + vX_[3015] * vX_[686] + vX_[3025] * vX_[582] + vX_[3035] * vX_[552] + vX_[2953] * vX_[586] + vX_[3014] * vX_[599];
+ vX_[2953] = vX_[2930] + vX_[3014];
+ vX_[3034] = vX_[2830] * vX_[995] + vX_[3010] * vX_[686] + vX_[3020] * vX_[582] + vX_[3030] * vX_[552] + vX_[3000] * vX_[586] + vX_[3034] * vX_[599];
+ vX_[3000] = vX_[3037] + vX_[3034];
+ vX_[3030] = 0 - vX_[3000];
+ vX_[3020] = vX_[2953] * vX_[449] + vX_[3030] * vX_[447];
+ vX_[3010] = 0 - vX_[3020];
+ vX_[2830] = vX_[3050] + vX_[3010] * vX_[355] + vX_[3040] * vX_[451];
+ vX_[3035] = 0 - vX_[2830];
+ vX_[3025] = vX_[3044] * vX_[449] + vX_[3045] * vX_[435];
+ vX_[3015] = vX_[3047] * vX_[435] + vX_[3048] * vX_[449];
+ vX_[2948] = vX_[3025] * vX_[449] + vX_[3015] * vX_[447];
+ vX_[3000] = 0 - vX_[3000];
+ vX_[3051] = vX_[2953] * vX_[435] + vX_[3000] * vX_[449];
+ vX_[3052] = 0 - vX_[3051];
+ vX_[3053] = vX_[2948] + vX_[3052] * vX_[436] + vX_[3041] * vX_[451];
+ vX_[3054] = vX_[3025] * vX_[435] + vX_[3015] * vX_[449];
+ vX_[3055] = vX_[3054] + vX_[3020] * vX_[436];
+ vX_[3056] = vX_[3046] * vX_[449] + vX_[3049] * vX_[447];
+ vX_[3057] = vX_[3056] + vX_[3051] * vX_[355] + vX_[3038] * vX_[451];
+ vX_[3058] = 0 - vX_[3055] + vX_[3057];
+ vX_[3059] = 0 - vX_[2831];
+ vX_[3060] = 0 - vX_[3039];
+ vX_[3040] = vX_[3038] * vX_[573] + vX_[3040] * vX_[518] + vX_[3041] * vX_[414] + vX_[3018] * vX_[452] + vX_[3043] * vX_[463] + vX_[3035] * vX_[443] + vX_[3053] * vX_[437] + vX_[3058] * vX_[434] + vX_[2831] * vX_[567] + vX_[3059] * vX_[570] + vX_[3060] * vX_[517] + vX_[3041] * vX_[521];
+ vX_[3038] = 0 - vX_[2977];
+ vX_[3061] = vX_[2962] * -1 + vX_[2960] * -0.08;
+ vX_[3062] = vX_[3061] + vX_[2969] * -0.35;
+ vX_[3063] = vX_[3062] * 0.881 + (0 - vX_[2976]) * 0.1104774 + vX_[2980] * 0.0004405;
+ vX_[3064] = vX_[2974] * 0.00185880198235362 + vX_[2973] * 0.880992588508842 + vX_[2976] * -8.81e-05;
+ vX_[3065] = vX_[3038] * vX_[706] + vX_[3063] * vX_[635] + vX_[3064] * x_in[26];
+ vX_[2981] = 0 - vX_[2978] + vX_[2979] - vX_[2981];
+ vX_[2979] = 0 - vX_[3063];
+ vX_[2978] = vX_[2974] * 0.414812462825713 + vX_[2973] * 0.00185880198235362 + vX_[2980] * 8.81e-05;
+ vX_[3066] = vX_[2981] * vX_[706] + vX_[2979] * vX_[352] - vX_[2978] * x_in[26];
+ vX_[3067] = 0 - vX_[2984];
+ vX_[3068] = vX_[3061] * 3.146 + (0 - vX_[2969]) * 0.47422804 + vX_[2971] * -0.0825825;
+ vX_[3069] = vX_[2823] * vX_[411] + vX_[2946] * vX_[410] + vX_[2969] * vX_[387] + vX_[2971] * vX_[382];
+ vX_[3070] = vX_[3065] * vX_[357] + vX_[3066] * vX_[359] + vX_[3067] * vX_[628] + vX_[3068] * vX_[626] + vX_[3069] * x_in[25];
+ vX_[2986] = 0 - vX_[2985] + vX_[2986];
+ vX_[2985] = 0 - vX_[3068];
+ vX_[3071] = vX_[2823] * vX_[409] + vX_[2946] * vX_[411] + vX_[2969] * vX_[393] + vX_[2971] * vX_[392];
+ vX_[3072] = vX_[3065] * vX_[618] + vX_[3066] * vX_[357] + vX_[2986] * vX_[628] + vX_[2985] * vX_[651] - vX_[3071] * x_in[25];
+ vX_[3073] = vX_[2962] * -3.44;
+ vX_[3074] = vX_[2960] * 0.1466472;
+ vX_[3075] = vX_[2967] * 0.5824264;
+ vX_[3076] = 0 - vX_[3073] + vX_[3074] - vX_[3075];
+ vX_[3077] = 0 - vX_[2991];
+ vX_[3078] = vX_[2949] * vX_[463] + vX_[2962] * vX_[437] + vX_[2914] * vX_[434] + vX_[2826] * vX_[567] + vX_[2967] * vX_[515];
+ vX_[3079] = vX_[3070] * vX_[668] + vX_[3072] * vX_[383] + vX_[3076] * vX_[697] + vX_[3077] * vX_[704] - vX_[3078] * x_in[24];
+ vX_[3080] = vX_[3006] + vX_[3024] + vX_[2833] - vX_[3039] - vX_[3041];
+ vX_[3081] = 0 - vX_[3080];
+ vX_[3017] = vX_[3017] + vX_[3081] * vX_[436];
+ vX_[3008] = vX_[3008] + vX_[3080] * vX_[355];
+ vX_[3082] = 0 - vX_[3043];
+ vX_[3083] = 0 - vX_[3053];
+ vX_[3033] = vX_[2832] * vX_[995] + vX_[3009] * vX_[686] + vX_[3019] * vX_[582] + vX_[3029] * vX_[552] + vX_[3005] * vX_[586] + vX_[3033] * vX_[599];
+ vX_[3005] = vX_[3036] + vX_[3033] + vX_[3045] + vX_[3048] - vX_[3054] - vX_[3056];
+ vX_[3057] = vX_[3005] - vX_[3057];
+ vX_[3029] = 0 - vX_[3020];
+ vX_[3019] = 0 - vX_[2831];
+ vX_[3009] = 0 - vX_[3041];
+ vX_[2832] = vX_[2994] - vX_[2950];
+ vX_[3084] = vX_[3001] - vX_[2950];
+ vX_[3085] = vX_[2927] + vX_[2996];
+ vX_[3086] = vX_[2872] + vX_[3004];
+ vX_[3087] = vX_[2825] + vX_[3003];
+ vX_[3088] = 0 - vX_[3087];
+ vX_[3089] = vX_[2832] * vX_[449] + vX_[3085] * vX_[447];
+ vX_[3090] = vX_[3084] * vX_[449];
+ vX_[3091] = vX_[2832] * vX_[435] + vX_[3085] * vX_[449];
+ vX_[3092] = vX_[3084] * vX_[447];
+ vX_[3093] = vX_[3091] + vX_[3092];
+ vX_[3094] = vX_[3062] * 0.0004405 + vX_[2974] * -8.81e-05 + vX_[2980] * -0.000227999999999999;
+ vX_[3095] = vX_[3062] * 0.1104774 + vX_[2973] * -8.81e-05 + (0 - vX_[2976]) * 0.025713;
+ vX_[3096] = (0 - vX_[2974]) * 0.0004405;
+ vX_[3097] = (0 - vX_[2973]) * 0.1104774;
+ vX_[3098] = vX_[3096] + vX_[3097];
+ vX_[3098] = vX_[3038] * vX_[606] + vX_[2981] * vX_[234] + vX_[3094] * vX_[352] + vX_[3095] * vX_[635] + vX_[3098] * vX_[706] + vX_[3098] * vX_[706];
+ vX_[2981] = vX_[3061] * -0.0825825 + (0 - vX_[2944]) * 0.000102 + vX_[2969] * 0.007418 + vX_[2971] * 0.002735;
+ vX_[3038] = vX_[3061] * 0.47422804 + vX_[2944] * 2.1e-05 + (0 - vX_[2969]) * 0.084376 + (0 - vX_[2971]) * 0.007418;
+ vX_[3099] = (0 - vX_[2823]) * -0.0825825;
+ vX_[3100] = (0 - vX_[2946]) * 0.47422804;
+ vX_[3101] = vX_[2969] * 0.000102;
+ vX_[3102] = (0 - vX_[2971]) * 2.1e-05;
+ vX_[3103] = vX_[3099] + vX_[3100] + vX_[3101] + vX_[3102];
+ vX_[3103] = vX_[3098] + vX_[3065] * vX_[612] + vX_[3066] * vX_[362] + vX_[3067] * vX_[653] + vX_[2986] * vX_[649] + vX_[2981] * vX_[651] + vX_[3038] * vX_[626] + vX_[3103] * vX_[628] + vX_[3103] * vX_[628];
+ vX_[2986] = vX_[2962] * 0.5824264 + (0 - vX_[2960]) * -0.022734 + vX_[2826] * -3.6e-05 + vX_[2967] * -0.133138;
+ vX_[3067] = vX_[2962] * 0.1466472 + vX_[2960] * 0.009466 + (0 - vX_[2826]) * -5.1e-05 + vX_[2967] * -0.022734;
+ vX_[3104] = (0 - vX_[2949]) * 0.5824264;
+ vX_[3105] = (0 - vX_[2914]) * 0.1466472;
+ vX_[3106] = (0 - vX_[2960]) * -3.6e-05;
+ vX_[3107] = (0 - vX_[2967]) * -5.1e-05;
+ vX_[3108] = vX_[3104] + vX_[3105] + vX_[3106] - vX_[3107];
+ vX_[3109] = vX_[2949] * vX_[468] + vX_[2962] * vX_[515] + vX_[2914] * vX_[570] + vX_[2826] * vX_[569] + vX_[2967] * vX_[431];
+ vX_[3108] = vX_[3070] * vX_[662] + vX_[3072] * vX_[401] + vX_[3103] * -1 + vX_[2989] * vX_[702] + vX_[3077] * vX_[690] + vX_[2986] * vX_[697] + vX_[3067] * vX_[664] + vX_[3108] * vX_[704] + vX_[3108] * vX_[704] + vX_[3109] * x_in[24];
+ vX_[2975] = vX_[2974] * 0.1104774 + vX_[2973] * 0.0004405 + vX_[2975] * 0.025941;
+ vX_[3077] = (0 - vX_[3062]) * -8.81e-05;
+ vX_[3097] = vX_[3077] + vX_[3097];
+ vX_[2980] = vX_[3062] * 0.0004405 + vX_[2974] * 8.81e-05 + vX_[2980] * 0.000468;
+ vX_[3097] = vX_[2977] * vX_[731] + vX_[2979] * vX_[234] + vX_[3094] * vX_[706] + vX_[2975] * vX_[635] + vX_[3097] * vX_[352] + vX_[3097] * vX_[352] + vX_[2980] * x_in[26];
+ vX_[3077] = vX_[3077] + vX_[3096];
+ vX_[3062] = vX_[3062] * -0.1104774 + vX_[2973] * -8.81e-05 + vX_[2976] * 0.026409;
+ jac[968] = vX_[2978] * vX_[737] + vX_[3064] * vX_[606] + vX_[3062] * vX_[709] + vX_[2980] * vX_[352] + vX_[3098];
+ vX_[3062] = vX_[2982] * vX_[731] + vX_[3063] * vX_[606] + vX_[3095] * vX_[706] + vX_[2975] * vX_[352] + vX_[3077] * vX_[635] + vX_[3077] * vX_[635] - vX_[3062] * x_in[26];
+ vX_[3077] = vX_[2823] * 0.47422804 + vX_[2946] * -0.0825825 + vX_[2944] * 0.081641 + (0 - vX_[2969]) * 2.1e-05 + vX_[2971] * 0.000102;
+ vX_[2975] = (0 - vX_[2944]) * 0.007418;
+ vX_[3102] = vX_[3100] + vX_[2975] - vX_[3102];
+ vX_[3100] = vX_[3061] * vX_[377] + vX_[2823] * vX_[392] + vX_[2946] * vX_[382] + vX_[2969] * vX_[426] + vX_[2971] * vX_[422];
+ vX_[3102] = vX_[2983] * -0.35 + vX_[3097] * vX_[357] + vX_[3062] * vX_[359] + vX_[2984] * vX_[730] + vX_[2985] * vX_[649] + vX_[2981] * vX_[628] + vX_[3077] * vX_[626] + vX_[3102] * vX_[651] + vX_[3102] * vX_[651] + vX_[3100] * x_in[25];
+ vX_[2975] = vX_[3099] - vX_[2975] - vX_[3101];
+ vX_[3101] = vX_[3061] * vX_[389] + vX_[2823] * vX_[393] + vX_[2946] * vX_[387] + vX_[2969] * vX_[420] + vX_[2971] * vX_[426];
+ jac[932] = vX_[3071] * vX_[739] + vX_[3069] * vX_[653] + vX_[3101] * vX_[715] + vX_[3100] * vX_[651] + vX_[3103];
+ vX_[3101] = vX_[3097] * vX_[360] + vX_[3062] * vX_[357] + vX_[2987] * vX_[730] + vX_[3068] * vX_[653] + vX_[3038] * vX_[628] + vX_[3077] * vX_[651] + vX_[2975] * vX_[626] + vX_[2975] * vX_[626] - vX_[3101] * x_in[25];
+ vX_[3075] = vX_[3073] - vX_[3074] + vX_[3075];
+ vX_[3074] = vX_[2949] * 0.1466472 + vX_[2914] * 0.5824264 + vX_[2960] * -5.1e-05 + (0 - vX_[2826]) * -0.123672 + (0 - vX_[2967]) * -3.6e-05;
+ vX_[3073] = vX_[2826] * -0.022734;
+ vX_[3106] = vX_[3104] - vX_[3106] - vX_[3073];
+ vX_[3104] = vX_[2949] * vX_[405] + vX_[2962] * vX_[567] + vX_[2914] * vX_[516] + vX_[2826] * vX_[514] + vX_[2967] * vX_[569];
+ vX_[3106] = vX_[3102] * vX_[395] + vX_[3101] * vX_[383] + vX_[3075] * vX_[702] + vX_[2991] * vX_[725] + vX_[3074] * vX_[697] + vX_[3067] * vX_[704] + vX_[3106] * vX_[664] + vX_[3106] * vX_[664] - vX_[3104] * x_in[24];
+ vX_[3067] = 0 - vX_[3017];
+ vX_[2991] = 0 - vX_[3008];
+ vX_[3005] = 0 - vX_[3005] + vX_[3055];
+ vX_[3055] = 0 - vX_[3051];
+ vX_[3087] = 0 - vX_[3087];
+ jac[248] = 0 - (0 - (vX_[2684] * vX_[718] + vX_[2993] * x_in[22]) + (vX_[2861] * vX_[718] + vX_[3040] * vX_[449] + vX_[2993] * x_in[20]) * -0.3735 - (vX_[2888] * vX_[949] + vX_[3079] * x_in[23]) + (vX_[2892] * vX_[949] + vX_[3079] * x_in[19]) * 0.3735 + (vX_[2828] * vX_[949] + (vX_[3010] * vX_[518] + vX_[3051] * vX_[573] + vX_[3080] * vX_[462] + vX_[3042] * vX_[464] + vX_[3017] * vX_[434] + vX_[3008] * vX_[443] + vX_[3082] * vX_[446] + vX_[3083] * vX_[463] + vX_[3057] * vX_[452] + vX_[3029] * vX_[516] + vX_[3051] * vX_[570] + vX_[3019] * vX_[405] + vX_[3009] * vX_[523]) * -1 + vX_[3079] * x_in[18]) * -0.207 - (vX_[2861] * vX_[688] + vX_[2892] * vX_[747] + vX_[2832] * vX_[681] + vX_[3084] * vX_[679] + vX_[3085] * vX_[677] + vX_[3086] * vX_[654] + vX_[3088] * vX_[452] + vX_[3089] * vX_[658] + vX_[3090] * vX_[657] + vX_[3093] * vX_[434] + vX_[3044] * vX_[643] + vX_[3047] * vX_[623] + vX_[2918] * vX_[470] + vX_[3002] * vX_[460] + vX_[3045] * vX_[642] + vX_[3048] * vX_[620] + vX_[3025] * vX_[619] + vX_[3046] * vX_[621] + vX_[3015] * vX_[572] + vX_[3049] * vX_[622] + vX_[3028] * vX_[459] + vX_[3027] * vX_[469] + vX_[3023] * vX_[579] + vX_[3022] * vX_[577] + vX_[3013] * vX_[575] + vX_[2953] * vX_[596] + vX_[3000] * vX_[597] + vX_[2834] * vX_[524] + vX_[3012] * vX_[520] + vX_[3011] * vX_[574] + vX_[3040] * vX_[450] + vX_[3108] * x_in[19] + vX_[3106] * x_in[20])) * vX_[1083] + (vX_[2888] * vX_[718] + vX_[2861] * vX_[747] + vX_[2832] * vX_[677] + vX_[3086] * vX_[452] + vX_[3091] * vX_[657] + vX_[3089] * vX_[434] + vX_[3047] * vX_[620] + vX_[2918] * vX_[460] + vX_[3045] * vX_[643] + vX_[3025] * vX_[572] + vX_[3046] * vX_[622] + vX_[3028] * vX_[469] + vX_[3023] * vX_[575] + vX_[2953] * vX_[597] + vX_[2835] * vX_[520] + vX_[2834] * vX_[574] + (vX_[3020] * vX_[571] + vX_[3052] * vX_[414] + vX_[2831] * vX_[464] + vX_[3081] * vX_[438] + vX_[3039] * vX_[453] + vX_[3067] * vX_[437] + vX_[2945] * vX_[446] + vX_[2991] * vX_[434] + vX_[2830] * vX_[452] + vX_[3005] * vX_[463] + vX_[3020] * vX_[567] + vX_[3055] * vX_[515] + vX_[2831] * vX_[468] + vX_[3039] * vX_[512]) * 0.207 + vX_[2993] * x_in[23] + vX_[3108] * x_in[20] + (vX_[2892] * vX_[718] + vX_[3040] * vX_[447] + vX_[2993] * x_in[19]) * -0.3735 + (vX_[2828] * vX_[718] + vX_[2993] * x_in[18]) * 0.207 - (vX_[2684] * vX_[949] + vX_[3079] * x_in[22]) + (vX_[2861] * vX_[949] + vX_[3079] * x_in[20]) * -0.3735 - (vX_[2892] * vX_[688] + vX_[3084] * vX_[678] + vX_[3085] * vX_[681] + vX_[3087] * vX_[654] + vX_[3090] * vX_[434] + vX_[3092] * vX_[658] + vX_[3044] * vX_[642] + vX_[3002] * vX_[470] + vX_[3048] * vX_[623] + vX_[3015] * vX_[619] + vX_[3049] * vX_[621] + vX_[3027] * vX_[459] + vX_[3022] * vX_[576] + vX_[3013] * vX_[579] + vX_[3030] * vX_[596] + vX_[3012] * vX_[574] + vX_[3021] * vX_[524] + vX_[3040] * vX_[448] + vX_[3106] * x_in[19])) * vX_[1093];
+ vX_[3085] = 1 / vX_[0];
+ vX_[3084] = 0 - vX_[3085];
+ vX_[2832] = vX_[3084] * vX_[27];
+ vX_[3081] = 0 - vX_[3085];
+ vX_[3080] = vX_[3081] * vX_[17];
+ vX_[3040] = 0 - vX_[3085];
+ vX_[3052] = vX_[3040] * vX_[0] + vX_[2832] * vX_[811] + vX_[3080] * vX_[5];
+ vX_[3000] = 0 - vX_[3085];
+ vX_[3015] = vX_[3000] * vX_[110];
+ vX_[3025] = 0 - vX_[3085];
+ vX_[3010] = vX_[3025] * vX_[119];
+ vX_[3030] = 0 - (vX_[2832] * vX_[100] + vX_[3080] * vX_[821] + vX_[3015] * vX_[50] + vX_[3010] * vX_[88]) + vX_[3052] * vX_[599];
+ vX_[2953] = 0 - vX_[3030];
+ vX_[3049] = 0 - vX_[3085];
+ vX_[3048] = vX_[3049] * vX_[97];
+ vX_[3047] = 0 - vX_[3030];
+ vX_[3046] = 0 - (vX_[3048] * 0.207 + vX_[2832] * vX_[102] + vX_[3080] * vX_[820] + vX_[3015] * vX_[88] + vX_[3010] * vX_[101]) + vX_[3052] * vX_[586] + vX_[3047] * vX_[630];
+ vX_[3045] = 0 - vX_[3046];
+ vX_[3044] = 0 - vX_[3030];
+ vX_[3042] = 0 - vX_[3046];
+ vX_[3048] = 0 - vX_[3048] + vX_[3052] * vX_[552] + vX_[3044] * vX_[519] + vX_[3042] * vX_[645];
+ vX_[3027] = 0 - vX_[3048];
+ vX_[2918] = 0 - (vX_[2832] * vX_[50] + vX_[3080] * vX_[88]) + vX_[3052] * vX_[582] + vX_[2953] * vX_[564] + vX_[3045] * vX_[566] + vX_[3027] * vX_[684];
+ vX_[3028] = 0 - vX_[3030];
+ vX_[3002] = 0 - vX_[3046];
+ vX_[3011] = 0 - vX_[3048];
+ vX_[3021] = 0 - vX_[2918];
+ vX_[2835] = (0 - (vX_[2832] * vX_[88] + vX_[3080] * vX_[822]) + vX_[3052] * vX_[686] + vX_[3028] * vX_[692] + vX_[3002] * vX_[694] + vX_[3011] * vX_[700] + vX_[3021] * vX_[674]) * 1 / vX_[682];
+ vX_[3012] = 0 - vX_[2835];
+ vX_[2918] = (vX_[2918] + vX_[3012] * vX_[705]) * 1 / vX_[680];
+ vX_[3022] = 0 - vX_[2835];
+ vX_[2834] = 0 - vX_[2918];
+ vX_[3048] = (vX_[3048] + vX_[3022] * vX_[699] + vX_[2834] * vX_[655]) * 1 / vX_[683];
+ vX_[3013] = 0 - vX_[2835];
+ vX_[3023] = 0 - vX_[2918];
+ vX_[2975] = 0 - vX_[3048];
+ vX_[3046] = (vX_[3046] + vX_[3013] * vX_[595] + vX_[3023] * vX_[644] + vX_[2975] * vX_[550]) * 1 / vX_[580];
+ vX_[3077] = vX_[3048] * -1 + vX_[3046] * 0.207;
+ vX_[3038] = 0 - vX_[2835];
+ vX_[3068] = 0 - vX_[2918];
+ vX_[2987] = 0 - vX_[3048];
+ vX_[3100] = 0 - vX_[3046];
+ vX_[3030] = (vX_[3030] + vX_[3038] * vX_[691] + vX_[3068] * vX_[624] + vX_[2987] * vX_[471] + vX_[3100] * vX_[629]) * 1 / vX_[578];
+ vX_[3103] = 0 - vX_[2835];
+ vX_[3071] = 0 - vX_[2918];
+ vX_[3069] = 0 - vX_[3048];
+ vX_[3099] = 0 - vX_[3046];
+ vX_[2981] = 0 - vX_[3030];
+ vX_[2985] = (0 - vX_[3052] + vX_[3103] * vX_[536] + vX_[3071] * vX_[472] + vX_[3069] * vX_[656] + vX_[3099] * vX_[590] + vX_[2981] * vX_[598]) * 1 / vX_[581];
+ vX_[2984] = vX_[2835] * vX_[583] + vX_[2918] * vX_[587] + vX_[3046] * vX_[696] + vX_[3030] * vX_[591] + vX_[2985] * vX_[354];
+ vX_[2983] = vX_[3046] * vX_[435] + vX_[3030] * vX_[449];
+ vX_[3095] = vX_[3077] * vX_[383] + vX_[2984] * vX_[668] + vX_[2983] * vX_[662];
+ vX_[3063] = vX_[3077] * vX_[356] + vX_[2984] * vX_[383] + vX_[2983] * vX_[401];
+ vX_[2982] = vX_[2983] * -1;
+ vX_[2980] = vX_[3095] * 1 / vX_[380];
+ vX_[3098] = vX_[3063] * 1 / vX_[380];
+ vX_[2978] = vX_[2982] * 1 / vX_[380];
+ vX_[3064] = vX_[2985] * -1;
+ vX_[2976] = vX_[3077] * 1 / vX_[432];
+ vX_[2973] = vX_[2835] * vX_[435] + vX_[2918] * vX_[353] + vX_[3046] * vX_[450] + vX_[3030] * vX_[448] + vX_[2985] * vX_[724];
+ vX_[3096] = vX_[2973] * 1 / vX_[432];
+ vX_[3094] = vX_[2984] * 1 / vX_[432];
+ vX_[2979] = vX_[3064] * 1 / vX_[432];
+ vX_[2977] = vX_[2983] * 1 / vX_[432];
+ vX_[2974] = vX_[3046] * vX_[449] + vX_[3030] * vX_[447];
+ vX_[3110] = vX_[2974] * 1 / vX_[432];
+ vX_[3064] = vX_[3064] - (vX_[2976] * vX_[444] + vX_[3096] * vX_[406] + vX_[3094] * vX_[396] + vX_[2979] * vX_[432] + vX_[2977] * vX_[458] + vX_[3110] * vX_[467]);
+ vX_[3111] = vX_[3064] * vX_[383] + vX_[2974] * vX_[395];
+ vX_[3112] = vX_[3111] * 1 / vX_[380];
+ vX_[3113] = vX_[3064] * vX_[356] + vX_[2974] * vX_[383];
+ vX_[3114] = vX_[3113] * 1 / vX_[380];
+ vX_[2982] = vX_[2982] - (vX_[2980] * vX_[390] + vX_[3098] * vX_[378] + vX_[2978] * vX_[380] + vX_[3112] * vX_[386] + vX_[3114] * vX_[368]);
+ vX_[3115] = vX_[3095] * vX_[359] + vX_[3063] * vX_[357] + vX_[2982] * vX_[362];
+ vX_[3116] = vX_[3095] * vX_[357] + vX_[3063] * vX_[618] + vX_[2982] * vX_[612];
+ vX_[3117] = vX_[2982] - (vX_[3116] * 38.1956380581338 * 0.1104774 + vX_[3115] * 38.1956380581338 * -0.0004405 + vX_[2982] * 38.1956380581338 * 0.026181);
+ vX_[3118] = vX_[3111] * vX_[357] + vX_[3113] * vX_[360];
+ vX_[3119] = vX_[3115] * 0.881 + (0 - vX_[3117]) * 0.0004405 + vX_[3118] * -8.81e-05;
+ vX_[3120] = vX_[3116] * -0.881;
+ vX_[3121] = vX_[3117] * 0.1104774;
+ vX_[3122] = vX_[3111] * vX_[359] + vX_[3113] * vX_[357];
+ vX_[3123] = vX_[3122] * -8.81e-05;
+ vX_[3124] = vX_[3120] - vX_[3121] + vX_[3123];
+ vX_[3125] = vX_[3119] * vX_[352] + vX_[3124] * vX_[635];
+ vX_[3126] = vX_[3063] * 3.146 + (0 - vX_[2982]) * -0.0825825;
+ vX_[3127] = vX_[3095] * -3.146;
+ vX_[3128] = vX_[2982] * 0.47422804;
+ vX_[3129] = vX_[3127] - vX_[3128];
+ vX_[3130] = vX_[3125] + vX_[3126] * vX_[651] + vX_[3129] * vX_[626];
+ vX_[3131] = vX_[2984] * 3.44 + vX_[2983] * 0.5824264;
+ vX_[3132] = 0 - vX_[3131];
+ vX_[3133] = vX_[3077] * 3.44 + (0 - vX_[2983]) * 0.1466472;
+ vX_[3134] = vX_[3077] * vX_[452] + vX_[2973] * vX_[434] + vX_[2984] * vX_[443] + vX_[2983] * vX_[516] + vX_[2974] * vX_[570];
+ vX_[3135] = vX_[3130] * -1 + vX_[3132] * vX_[697] + vX_[3133] * vX_[664] + vX_[3134] * x_in[24];
+ vX_[3136] = 0 - vX_[2835] * vX_[1014];
+ vX_[3137] = 0 - vX_[3136];
+ vX_[3138] = 0 - vX_[3136];
+ vX_[3021] = (vX_[3021] * vX_[1014] + vX_[3138] * vX_[705]) * 1 / vX_[680];
+ vX_[3139] = 0 - vX_[3021];
+ vX_[3140] = 0 - vX_[3136];
+ vX_[3141] = 0 - vX_[3021];
+ vX_[3011] = (vX_[3011] * vX_[1014] + vX_[3140] * vX_[699] + vX_[3141] * vX_[655]) * 1 / vX_[683];
+ vX_[3142] = 0 - vX_[3011];
+ vX_[3002] = (vX_[3002] * vX_[1014] + vX_[3137] * vX_[595] + vX_[3139] * vX_[644] + vX_[3142] * vX_[550]) * 1 / vX_[580];
+ vX_[3138] = vX_[3012] * vX_[703] + vX_[3138] * vX_[674];
+ vX_[3012] = 0 - vX_[3138];
+ vX_[3143] = 0 - vX_[2918] * vX_[703] - vX_[3021] * vX_[674];
+ vX_[3144] = 0 - vX_[3143];
+ vX_[3145] = 0 - vX_[3138];
+ vX_[3146] = 0 - vX_[3143];
+ vX_[3027] = (vX_[3027] * vX_[728] + vX_[3145] * vX_[699] + vX_[3146] * vX_[655]) * 1 / vX_[683];
+ vX_[3147] = 0 - vX_[3027];
+ vX_[3045] = (vX_[3045] * vX_[728] + vX_[3012] * vX_[595] + vX_[3144] * vX_[644] + vX_[3147] * vX_[550]) * 1 / vX_[580];
+ vX_[3145] = vX_[3022] * vX_[1016] + vX_[3140] * vX_[700] + vX_[3145] * vX_[684];
+ vX_[3140] = 0 - vX_[3145];
+ vX_[3146] = vX_[2834] * vX_[1016] + vX_[3141] * vX_[700] + vX_[3146] * vX_[684];
+ vX_[3141] = 0 - vX_[3146];
+ vX_[2834] = 0 - vX_[3048] * vX_[1016] - vX_[3011] * vX_[700] - vX_[3027] * vX_[684];
+ vX_[3022] = 0 - vX_[2834];
+ vX_[3042] = (vX_[3042] * vX_[1018] + vX_[3140] * vX_[595] + vX_[3141] * vX_[644] + vX_[3022] * vX_[550]) * 1 / vX_[580];
+ vX_[3148] = 0 - vX_[3046] * vX_[861] - vX_[3002] * vX_[694] - vX_[3045] * vX_[566] - vX_[3042] * vX_[645];
+ vX_[3149] = 0 - vX_[3136];
+ vX_[3150] = 0 - vX_[3021];
+ vX_[3151] = 0 - vX_[3011];
+ vX_[3152] = 0 - vX_[3002];
+ vX_[3153] = 0 - vX_[3136];
+ vX_[3154] = 0 - vX_[3021];
+ vX_[3155] = 0 - vX_[3011];
+ vX_[3156] = 0 - vX_[3002];
+ vX_[3028] = (vX_[3028] * vX_[1014] + vX_[3153] * vX_[691] + vX_[3154] * vX_[624] + vX_[3155] * vX_[471] + vX_[3156] * vX_[629]) * 1 / vX_[578];
+ vX_[3157] = 0 - vX_[3028];
+ vX_[3158] = (vX_[3052] * vX_[1014] + vX_[3149] * vX_[536] + vX_[3150] * vX_[472] + vX_[3151] * vX_[656] + vX_[3152] * vX_[590] + vX_[3157] * vX_[598]) * 1 / vX_[581];
+ vX_[3159] = 0 - vX_[3138];
+ vX_[3160] = 0 - vX_[3143];
+ vX_[3161] = 0 - vX_[3027];
+ vX_[3162] = 0 - vX_[3045];
+ vX_[3163] = 0 - vX_[3138];
+ vX_[3164] = 0 - vX_[3143];
+ vX_[3165] = 0 - vX_[3027];
+ vX_[3166] = 0 - vX_[3045];
+ vX_[2953] = (vX_[2953] * vX_[728] + vX_[3163] * vX_[691] + vX_[3164] * vX_[624] + vX_[3165] * vX_[471] + vX_[3166] * vX_[629]) * 1 / vX_[578];
+ vX_[3167] = 0 - vX_[2953];
+ vX_[3168] = (vX_[3052] * vX_[728] + vX_[3159] * vX_[536] + vX_[3160] * vX_[472] + vX_[3161] * vX_[656] + vX_[3162] * vX_[590] + vX_[3167] * vX_[598]) * 1 / vX_[581];
+ vX_[3169] = 0 - vX_[3145];
+ vX_[3170] = 0 - vX_[3146];
+ vX_[3171] = 0 - vX_[2834];
+ vX_[3172] = 0 - vX_[3042];
+ vX_[3173] = 0 - vX_[3145];
+ vX_[3174] = 0 - vX_[3146];
+ vX_[3175] = 0 - vX_[2834];
+ vX_[3176] = 0 - vX_[3042];
+ vX_[3044] = (vX_[3044] * vX_[1018] + vX_[3173] * vX_[691] + vX_[3174] * vX_[624] + vX_[3175] * vX_[471] + vX_[3176] * vX_[629]) * 1 / vX_[578];
+ vX_[3177] = 0 - vX_[3044];
+ vX_[3178] = (vX_[3052] * vX_[1018] + vX_[3169] * vX_[536] + vX_[3170] * vX_[472] + vX_[3171] * vX_[656] + vX_[3172] * vX_[590] + vX_[3177] * vX_[598]) * 1 / vX_[581];
+ vX_[3140] = vX_[3013] * vX_[861] + vX_[3137] * vX_[694] + vX_[3012] * vX_[566] + vX_[3140] * vX_[645];
+ vX_[3012] = 0 - vX_[3140];
+ vX_[3141] = vX_[3023] * vX_[861] + vX_[3139] * vX_[694] + vX_[3144] * vX_[566] + vX_[3141] * vX_[645];
+ vX_[3144] = 0 - vX_[3141];
+ vX_[3022] = vX_[2975] * vX_[861] + vX_[3142] * vX_[694] + vX_[3147] * vX_[566] + vX_[3022] * vX_[645];
+ vX_[3147] = 0 - vX_[3022];
+ vX_[3142] = 0 - vX_[3148];
+ vX_[2975] = 0 - vX_[3140];
+ vX_[3139] = 0 - vX_[3141];
+ vX_[3023] = 0 - vX_[3022];
+ vX_[3137] = 0 - vX_[3148];
+ vX_[3047] = (vX_[3047] * vX_[1050] + vX_[2975] * vX_[691] + vX_[3139] * vX_[624] + vX_[3023] * vX_[471] + vX_[3137] * vX_[629]) * 1 / vX_[578];
+ vX_[3013] = 0 - vX_[3047];
+ vX_[3179] = (vX_[3052] * vX_[1050] + vX_[3012] * vX_[536] + vX_[3144] * vX_[472] + vX_[3147] * vX_[656] + vX_[3142] * vX_[590] + vX_[3013] * vX_[598]) * 1 / vX_[581];
+ vX_[2975] = vX_[3038] * vX_[922] + vX_[3153] * vX_[692] + vX_[3163] * vX_[564] + vX_[3173] * vX_[519] + vX_[2975] * vX_[630];
+ vX_[3173] = 0 - vX_[2975];
+ vX_[3139] = vX_[3068] * vX_[922] + vX_[3154] * vX_[692] + vX_[3164] * vX_[564] + vX_[3174] * vX_[519] + vX_[3139] * vX_[630];
+ vX_[3174] = 0 - vX_[3139];
+ vX_[3023] = vX_[2987] * vX_[922] + vX_[3155] * vX_[692] + vX_[3165] * vX_[564] + vX_[3175] * vX_[519] + vX_[3023] * vX_[630];
+ vX_[3175] = 0 - vX_[3023];
+ vX_[3137] = vX_[3100] * vX_[922] + vX_[3156] * vX_[692] + vX_[3166] * vX_[564] + vX_[3176] * vX_[519] + vX_[3137] * vX_[630];
+ vX_[3176] = 0 - vX_[3137];
+ vX_[3166] = 0 - vX_[3030] * vX_[922] - vX_[3028] * vX_[692] - vX_[2953] * vX_[564] - vX_[3044] * vX_[519] - vX_[3047] * vX_[630];
+ vX_[3156] = 0 - vX_[3166];
+ vX_[3052] = (vX_[3052] * vX_[1052] + vX_[3173] * vX_[536] + vX_[3174] * vX_[472] + vX_[3175] * vX_[656] + vX_[3176] * vX_[590] + vX_[3156] * vX_[598]) * 1 / vX_[581];
+ vX_[3100] = 0 - vX_[2985] * vX_[995] - vX_[3158] * vX_[686] - vX_[3168] * vX_[582] - vX_[3178] * vX_[552] - vX_[3179] * vX_[586] - vX_[3052] * vX_[599];
+ vX_[3165] = vX_[3148] - vX_[3100];
+ vX_[3155] = vX_[3047] + vX_[3137];
+ vX_[2987] = vX_[3165] * vX_[449] + vX_[3155] * vX_[447];
+ vX_[3164] = vX_[3166] - vX_[3100];
+ vX_[3154] = vX_[3164] * vX_[449];
+ vX_[3068] = vX_[3165] * vX_[435] + vX_[3155] * vX_[449];
+ vX_[3163] = vX_[3164] * vX_[447];
+ vX_[3153] = vX_[3068] + vX_[3163];
+ vX_[3038] = vX_[2987] * vX_[435] + vX_[3154] * vX_[447] + vX_[3153] * vX_[449];
+ vX_[3180] = 0 - vX_[3038];
+ vX_[3181] = vX_[3100] + vX_[3068] * vX_[435] + vX_[3154] * vX_[449];
+ vX_[3182] = 0 - vX_[3181];
+ vX_[3183] = vX_[3100] + vX_[2987] * vX_[449] + vX_[3163] * vX_[447];
+ vX_[3174] = vX_[3071] * vX_[995] + vX_[3150] * vX_[686] + vX_[3160] * vX_[582] + vX_[3170] * vX_[552] + vX_[3144] * vX_[586] + vX_[3174] * vX_[599];
+ vX_[3144] = vX_[3168] + vX_[3174];
+ vX_[3170] = vX_[3044] + vX_[3023] - vX_[3144];
+ vX_[3173] = vX_[3103] * vX_[995] + vX_[3149] * vX_[686] + vX_[3159] * vX_[582] + vX_[3169] * vX_[552] + vX_[3012] * vX_[586] + vX_[3173] * vX_[599];
+ vX_[3012] = vX_[3158] + vX_[3173];
+ vX_[3169] = 0 - (vX_[3042] + vX_[3022]) + vX_[3012];
+ vX_[3159] = (vX_[3012] * vX_[435] + vX_[3144] * vX_[449]) * -1;
+ vX_[3149] = 0 - (vX_[3170] * vX_[449] + vX_[3169] * vX_[447]) + vX_[3159];
+ vX_[3103] = vX_[3149] + vX_[3181] * vX_[436];
+ vX_[3160] = 0 - vX_[3103];
+ vX_[3150] = (vX_[3012] * vX_[449] + vX_[3144] * vX_[447]) * -1;
+ vX_[3071] = vX_[3170] * vX_[435] + vX_[3169] * vX_[449] + vX_[3150];
+ vX_[3184] = 0 - vX_[3183];
+ vX_[3185] = vX_[3071] + vX_[3038] * vX_[436] + vX_[3184] * vX_[355];
+ vX_[3186] = vX_[3045] + vX_[3141];
+ vX_[3187] = vX_[3002] + vX_[3140];
+ vX_[3188] = vX_[3186] * vX_[447] + vX_[3187] * vX_[449];
+ vX_[3189] = vX_[3028] + vX_[2975];
+ vX_[3190] = vX_[2953] + vX_[3139];
+ vX_[3191] = vX_[3189] * vX_[449] + vX_[3190] * vX_[447];
+ vX_[3192] = vX_[3188] * vX_[435] + vX_[3191] * vX_[449];
+ vX_[3156] = vX_[2981] * vX_[995] + vX_[3157] * vX_[686] + vX_[3167] * vX_[582] + vX_[3177] * vX_[552] + vX_[3013] * vX_[586] + vX_[3156] * vX_[599];
+ vX_[3013] = vX_[3052] + vX_[3156];
+ vX_[3176] = vX_[3099] * vX_[995] + vX_[3152] * vX_[686] + vX_[3162] * vX_[582] + vX_[3172] * vX_[552] + vX_[3142] * vX_[586] + vX_[3176] * vX_[599];
+ vX_[3142] = vX_[3179] + vX_[3176];
+ vX_[3172] = 0 - vX_[3142];
+ vX_[3162] = vX_[3013] * vX_[449] + vX_[3172] * vX_[447];
+ vX_[3152] = 0 - vX_[3162];
+ vX_[3099] = vX_[3192] + vX_[3152] * vX_[355] + vX_[3182] * vX_[451];
+ vX_[3177] = 0 - vX_[3099];
+ vX_[3167] = vX_[3186] * vX_[449] + vX_[3187] * vX_[435];
+ vX_[3157] = vX_[3189] * vX_[435] + vX_[3190] * vX_[449];
+ vX_[2981] = vX_[3167] * vX_[449] + vX_[3157] * vX_[447];
+ vX_[3142] = 0 - vX_[3142];
+ vX_[3193] = vX_[3013] * vX_[435] + vX_[3142] * vX_[449];
+ vX_[3194] = 0 - vX_[3193];
+ vX_[3195] = vX_[2981] + vX_[3194] * vX_[436] + vX_[3183] * vX_[451];
+ vX_[3196] = vX_[3167] * vX_[435] + vX_[3157] * vX_[449];
+ vX_[3197] = vX_[3196] + vX_[3162] * vX_[436];
+ vX_[3198] = vX_[3188] * vX_[449] + vX_[3191] * vX_[447];
+ vX_[3199] = vX_[3198] + vX_[3193] * vX_[355] + vX_[3180] * vX_[451];
+ vX_[3200] = 0 - vX_[3197] + vX_[3199];
+ vX_[3201] = 0 - vX_[3038];
+ vX_[3202] = 0 - vX_[3181];
+ vX_[3182] = vX_[3180] * vX_[573] + vX_[3182] * vX_[518] + vX_[3183] * vX_[414] + vX_[3160] * vX_[452] + vX_[3185] * vX_[463] + vX_[3177] * vX_[443] + vX_[3195] * vX_[437] + vX_[3200] * vX_[434] + vX_[3038] * vX_[567] + vX_[3201] * vX_[570] + vX_[3202] * vX_[517] + vX_[3183] * vX_[521];
+ vX_[3180] = 0 - vX_[3119];
+ vX_[3203] = vX_[2973] * -1 + vX_[3064] * -0.08;
+ vX_[3204] = vX_[3203] + vX_[3111] * -0.35;
+ vX_[3205] = vX_[3204] * 0.881 + (0 - vX_[3118]) * 0.1104774 + vX_[3122] * 0.0004405;
+ vX_[3206] = vX_[3116] * 0.00185880198235362 + vX_[3115] * 0.880992588508842 + vX_[3118] * -8.81e-05;
+ vX_[3207] = vX_[3180] * vX_[706] + vX_[3205] * vX_[635] + vX_[3206] * x_in[26];
+ vX_[3123] = 0 - vX_[3120] + vX_[3121] - vX_[3123];
+ vX_[3121] = 0 - vX_[3205];
+ vX_[3120] = vX_[3116] * 0.414812462825713 + vX_[3115] * 0.00185880198235362 + vX_[3122] * 8.81e-05;
+ vX_[3208] = vX_[3123] * vX_[706] + vX_[3121] * vX_[352] - vX_[3120] * x_in[26];
+ vX_[3209] = 0 - vX_[3126];
+ vX_[3210] = vX_[3203] * 3.146 + (0 - vX_[3111]) * 0.47422804 + vX_[3113] * -0.0825825;
+ vX_[3211] = vX_[3095] * vX_[411] + vX_[3063] * vX_[410] + vX_[3111] * vX_[387] + vX_[3113] * vX_[382];
+ vX_[3212] = vX_[3207] * vX_[357] + vX_[3208] * vX_[359] + vX_[3209] * vX_[628] + vX_[3210] * vX_[626] + vX_[3211] * x_in[25];
+ vX_[3128] = 0 - vX_[3127] + vX_[3128];
+ vX_[3127] = 0 - vX_[3210];
+ vX_[3213] = vX_[3095] * vX_[409] + vX_[3063] * vX_[411] + vX_[3111] * vX_[393] + vX_[3113] * vX_[392];
+ vX_[3214] = vX_[3207] * vX_[618] + vX_[3208] * vX_[357] + vX_[3128] * vX_[628] + vX_[3127] * vX_[651] - vX_[3213] * x_in[25];
+ vX_[3215] = vX_[2973] * -3.44;
+ vX_[3216] = vX_[3064] * 0.1466472;
+ vX_[3217] = vX_[2974] * 0.5824264;
+ vX_[3218] = 0 - vX_[3215] + vX_[3216] - vX_[3217];
+ vX_[3219] = 0 - vX_[3133];
+ vX_[3220] = vX_[3077] * vX_[463] + vX_[2973] * vX_[437] + vX_[2984] * vX_[434] + vX_[2983] * vX_[567] + vX_[2974] * vX_[515];
+ vX_[3221] = vX_[3212] * vX_[668] + vX_[3214] * vX_[383] + vX_[3218] * vX_[697] + vX_[3219] * vX_[704] - vX_[3220] * x_in[24];
+ vX_[3222] = vX_[3148] + vX_[3166] + vX_[3100] - vX_[3181] - vX_[3183];
+ vX_[3223] = 0 - vX_[3222];
+ vX_[3159] = vX_[3159] + vX_[3223] * vX_[436];
+ vX_[3150] = vX_[3150] + vX_[3222] * vX_[355];
+ vX_[3224] = 0 - vX_[3185];
+ vX_[3225] = 0 - vX_[3195];
+ vX_[3175] = vX_[3069] * vX_[995] + vX_[3151] * vX_[686] + vX_[3161] * vX_[582] + vX_[3171] * vX_[552] + vX_[3147] * vX_[586] + vX_[3175] * vX_[599];
+ vX_[3147] = vX_[3178] + vX_[3175] + vX_[3187] + vX_[3190] - vX_[3196] - vX_[3198];
+ vX_[3199] = vX_[3147] - vX_[3199];
+ vX_[3171] = 0 - vX_[3162];
+ vX_[3161] = 0 - vX_[3038];
+ vX_[3151] = 0 - vX_[3183];
+ vX_[3069] = vX_[3136] - vX_[2834];
+ vX_[3226] = vX_[3143] - vX_[2834];
+ vX_[3227] = vX_[3021] + vX_[3138];
+ vX_[3228] = vX_[3027] + vX_[3146];
+ vX_[3229] = vX_[3011] + vX_[3145];
+ vX_[3230] = 0 - vX_[3229];
+ vX_[3231] = vX_[3069] * vX_[449] + vX_[3227] * vX_[447];
+ vX_[3232] = vX_[3226] * vX_[449];
+ vX_[3233] = vX_[3069] * vX_[435] + vX_[3227] * vX_[449];
+ vX_[3234] = vX_[3226] * vX_[447];
+ vX_[3235] = vX_[3233] + vX_[3234];
+ vX_[3236] = vX_[3204] * 0.0004405 + vX_[3116] * -8.81e-05 + vX_[3122] * -0.000227999999999999;
+ vX_[3237] = vX_[3204] * 0.1104774 + vX_[3115] * -8.81e-05 + (0 - vX_[3118]) * 0.025713;
+ vX_[3238] = (0 - vX_[3116]) * 0.0004405;
+ vX_[3239] = (0 - vX_[3115]) * 0.1104774;
+ vX_[3240] = vX_[3238] + vX_[3239];
+ vX_[3240] = vX_[3180] * vX_[606] + vX_[3123] * vX_[234] + vX_[3236] * vX_[352] + vX_[3237] * vX_[635] + vX_[3240] * vX_[706] + vX_[3240] * vX_[706];
+ vX_[3123] = vX_[3203] * -0.0825825 + (0 - vX_[2982]) * 0.000102 + vX_[3111] * 0.007418 + vX_[3113] * 0.002735;
+ vX_[3180] = vX_[3203] * 0.47422804 + vX_[2982] * 2.1e-05 + (0 - vX_[3111]) * 0.084376 + (0 - vX_[3113]) * 0.007418;
+ vX_[3241] = (0 - vX_[3095]) * -0.0825825;
+ vX_[3242] = (0 - vX_[3063]) * 0.47422804;
+ vX_[3243] = vX_[3111] * 0.000102;
+ vX_[3244] = (0 - vX_[3113]) * 2.1e-05;
+ vX_[3245] = vX_[3241] + vX_[3242] + vX_[3243] + vX_[3244];
+ vX_[3245] = vX_[3240] + vX_[3207] * vX_[612] + vX_[3208] * vX_[362] + vX_[3209] * vX_[653] + vX_[3128] * vX_[649] + vX_[3123] * vX_[651] + vX_[3180] * vX_[626] + vX_[3245] * vX_[628] + vX_[3245] * vX_[628];
+ vX_[3128] = vX_[2973] * 0.5824264 + (0 - vX_[3064]) * -0.022734 + vX_[2983] * -3.6e-05 + vX_[2974] * -0.133138;
+ vX_[3209] = vX_[2973] * 0.1466472 + vX_[3064] * 0.009466 + (0 - vX_[2983]) * -5.1e-05 + vX_[2974] * -0.022734;
+ vX_[3246] = (0 - vX_[3077]) * 0.5824264;
+ vX_[3247] = (0 - vX_[2984]) * 0.1466472;
+ vX_[3248] = (0 - vX_[3064]) * -3.6e-05;
+ vX_[3249] = (0 - vX_[2974]) * -5.1e-05;
+ vX_[3250] = vX_[3246] + vX_[3247] + vX_[3248] - vX_[3249];
+ vX_[3251] = vX_[3077] * vX_[468] + vX_[2973] * vX_[515] + vX_[2984] * vX_[570] + vX_[2983] * vX_[569] + vX_[2974] * vX_[431];
+ vX_[3250] = vX_[3212] * vX_[662] + vX_[3214] * vX_[401] + vX_[3245] * -1 + vX_[3131] * vX_[702] + vX_[3219] * vX_[690] + vX_[3128] * vX_[697] + vX_[3209] * vX_[664] + vX_[3250] * vX_[704] + vX_[3250] * vX_[704] + vX_[3251] * x_in[24];
+ vX_[3117] = vX_[3116] * 0.1104774 + vX_[3115] * 0.0004405 + vX_[3117] * 0.025941;
+ vX_[3219] = (0 - vX_[3204]) * -8.81e-05;
+ vX_[3239] = vX_[3219] + vX_[3239];
+ vX_[3122] = vX_[3204] * 0.0004405 + vX_[3116] * 8.81e-05 + vX_[3122] * 0.000468;
+ vX_[3239] = vX_[3119] * vX_[731] + vX_[3121] * vX_[234] + vX_[3236] * vX_[706] + vX_[3117] * vX_[635] + vX_[3239] * vX_[352] + vX_[3239] * vX_[352] + vX_[3122] * x_in[26];
+ vX_[3219] = vX_[3219] + vX_[3238];
+ vX_[3204] = vX_[3204] * -0.1104774 + vX_[3115] * -8.81e-05 + vX_[3118] * 0.026409;
+ jac[969] = vX_[3120] * vX_[737] + vX_[3206] * vX_[606] + vX_[3204] * vX_[709] + vX_[3122] * vX_[352] + vX_[3240];
+ vX_[3204] = vX_[3124] * vX_[731] + vX_[3205] * vX_[606] + vX_[3237] * vX_[706] + vX_[3117] * vX_[352] + vX_[3219] * vX_[635] + vX_[3219] * vX_[635] - vX_[3204] * x_in[26];
+ vX_[3219] = vX_[3095] * 0.47422804 + vX_[3063] * -0.0825825 + vX_[2982] * 0.081641 + (0 - vX_[3111]) * 2.1e-05 + vX_[3113] * 0.000102;
+ vX_[3117] = (0 - vX_[2982]) * 0.007418;
+ vX_[3244] = vX_[3242] + vX_[3117] - vX_[3244];
+ vX_[3242] = vX_[3203] * vX_[377] + vX_[3095] * vX_[392] + vX_[3063] * vX_[382] + vX_[3111] * vX_[426] + vX_[3113] * vX_[422];
+ vX_[3244] = vX_[3125] * -0.35 + vX_[3239] * vX_[357] + vX_[3204] * vX_[359] + vX_[3126] * vX_[730] + vX_[3127] * vX_[649] + vX_[3123] * vX_[628] + vX_[3219] * vX_[626] + vX_[3244] * vX_[651] + vX_[3244] * vX_[651] + vX_[3242] * x_in[25];
+ vX_[3117] = vX_[3241] - vX_[3117] - vX_[3243];
+ vX_[3243] = vX_[3203] * vX_[389] + vX_[3095] * vX_[393] + vX_[3063] * vX_[387] + vX_[3111] * vX_[420] + vX_[3113] * vX_[426];
+ jac[933] = vX_[3213] * vX_[739] + vX_[3211] * vX_[653] + vX_[3243] * vX_[715] + vX_[3242] * vX_[651] + vX_[3245];
+ vX_[3243] = vX_[3239] * vX_[360] + vX_[3204] * vX_[357] + vX_[3129] * vX_[730] + vX_[3210] * vX_[653] + vX_[3180] * vX_[628] + vX_[3219] * vX_[651] + vX_[3117] * vX_[626] + vX_[3117] * vX_[626] - vX_[3243] * x_in[25];
+ vX_[3217] = vX_[3215] - vX_[3216] + vX_[3217];
+ vX_[3216] = vX_[3077] * 0.1466472 + vX_[2984] * 0.5824264 + vX_[3064] * -5.1e-05 + (0 - vX_[2983]) * -0.123672 + (0 - vX_[2974]) * -3.6e-05;
+ vX_[3215] = vX_[2983] * -0.022734;
+ vX_[3248] = vX_[3246] - vX_[3248] - vX_[3215];
+ vX_[3246] = vX_[3077] * vX_[405] + vX_[2973] * vX_[567] + vX_[2984] * vX_[516] + vX_[2983] * vX_[514] + vX_[2974] * vX_[569];
+ vX_[3248] = vX_[3244] * vX_[395] + vX_[3243] * vX_[383] + vX_[3217] * vX_[702] + vX_[3133] * vX_[725] + vX_[3216] * vX_[697] + vX_[3209] * vX_[704] + vX_[3248] * vX_[664] + vX_[3248] * vX_[664] - vX_[3246] * x_in[24];
+ vX_[3209] = 0 - vX_[3159];
+ vX_[3133] = 0 - vX_[3150];
+ vX_[3147] = 0 - vX_[3147] + vX_[3197];
+ vX_[3197] = 0 - vX_[3193];
+ vX_[3229] = 0 - vX_[3229];
+ jac[249] = 0 - (0 - (vX_[2918] * vX_[718] + vX_[3135] * x_in[22]) + (vX_[3046] * vX_[718] + vX_[3182] * vX_[449] + vX_[3135] * x_in[20]) * -0.3735 - (vX_[2835] * vX_[949] + vX_[3221] * x_in[23]) + (vX_[3030] * vX_[949] + vX_[3221] * x_in[19]) * 0.3735 + (vX_[2985] * vX_[949] + (vX_[3152] * vX_[518] + vX_[3193] * vX_[573] + vX_[3222] * vX_[462] + vX_[3184] * vX_[464] + vX_[3159] * vX_[434] + vX_[3150] * vX_[443] + vX_[3224] * vX_[446] + vX_[3225] * vX_[463] + vX_[3199] * vX_[452] + vX_[3171] * vX_[516] + vX_[3193] * vX_[570] + vX_[3161] * vX_[405] + vX_[3151] * vX_[523]) * -1 + vX_[3221] * x_in[18]) * -0.207 - (vX_[3046] * vX_[688] + vX_[3030] * vX_[747] + vX_[3069] * vX_[681] + vX_[3226] * vX_[679] + vX_[3227] * vX_[677] + vX_[3228] * vX_[654] + vX_[3230] * vX_[452] + vX_[3231] * vX_[658] + vX_[3232] * vX_[657] + vX_[3235] * vX_[434] + vX_[3186] * vX_[643] + vX_[3189] * vX_[623] + vX_[3012] * vX_[470] + vX_[3144] * vX_[460] + vX_[3187] * vX_[642] + vX_[3190] * vX_[620] + vX_[3167] * vX_[619] + vX_[3188] * vX_[621] + vX_[3157] * vX_[572] + vX_[3191] * vX_[622] + vX_[3170] * vX_[459] + vX_[3169] * vX_[469] + vX_[3165] * vX_[579] + vX_[3164] * vX_[577] + vX_[3155] * vX_[575] + vX_[3013] * vX_[596] + vX_[3142] * vX_[597] + vX_[2987] * vX_[524] + vX_[3154] * vX_[520] + vX_[3153] * vX_[574] + vX_[3182] * vX_[450] + vX_[3250] * x_in[19] + vX_[3248] * x_in[20])) * vX_[1083] + (vX_[2835] * vX_[718] + vX_[3046] * vX_[747] + vX_[3069] * vX_[677] + vX_[3228] * vX_[452] + vX_[3233] * vX_[657] + vX_[3231] * vX_[434] + vX_[3189] * vX_[620] + vX_[3012] * vX_[460] + vX_[3187] * vX_[643] + vX_[3167] * vX_[572] + vX_[3188] * vX_[622] + vX_[3170] * vX_[469] + vX_[3165] * vX_[575] + vX_[3013] * vX_[597] + vX_[3068] * vX_[520] + vX_[2987] * vX_[574] + (vX_[3162] * vX_[571] + vX_[3194] * vX_[414] + vX_[3038] * vX_[464] + vX_[3223] * vX_[438] + vX_[3181] * vX_[453] + vX_[3209] * vX_[437] + vX_[3103] * vX_[446] + vX_[3133] * vX_[434] + vX_[3099] * vX_[452] + vX_[3147] * vX_[463] + vX_[3162] * vX_[567] + vX_[3197] * vX_[515] + vX_[3038] * vX_[468] + vX_[3181] * vX_[512]) * 0.207 + vX_[3135] * x_in[23] + vX_[3250] * x_in[20] + (vX_[3030] * vX_[718] + vX_[3182] * vX_[447] + vX_[3135] * x_in[19]) * -0.3735 + (vX_[2985] * vX_[718] + vX_[3135] * x_in[18]) * 0.207 - (vX_[2918] * vX_[949] + vX_[3221] * x_in[22]) + (vX_[3046] * vX_[949] + vX_[3221] * x_in[20]) * -0.3735 - (vX_[3030] * vX_[688] + vX_[3226] * vX_[678] + vX_[3227] * vX_[681] + vX_[3229] * vX_[654] + vX_[3232] * vX_[434] + vX_[3234] * vX_[658] + vX_[3186] * vX_[642] + vX_[3144] * vX_[470] + vX_[3190] * vX_[623] + vX_[3157] * vX_[619] + vX_[3191] * vX_[621] + vX_[3169] * vX_[459] + vX_[3164] * vX_[576] + vX_[3155] * vX_[579] + vX_[3172] * vX_[596] + vX_[3154] * vX_[574] + vX_[3163] * vX_[524] + vX_[3182] * vX_[448] + vX_[3248] * x_in[19])) * vX_[1093];
+ vX_[3227] = 1 / vX_[41];
+ vX_[3226] = 0 - vX_[3227];
+ vX_[3069] = vX_[3226] * vX_[32];
+ vX_[3223] = 0 - vX_[3227];
+ vX_[3222] = vX_[3223] * vX_[69];
+ vX_[3182] = vX_[3069] * vX_[4] + vX_[3222] * vX_[65];
+ vX_[3194] = vX_[3182] * 1 / vX_[0];
+ vX_[3142] = 0 - vX_[3194];
+ vX_[3157] = vX_[3142] * vX_[27];
+ vX_[3167] = 0 - vX_[3227];
+ vX_[3152] = vX_[3167] * vX_[26];
+ vX_[3172] = 0 - vX_[3227];
+ vX_[3013] = vX_[3172] * vX_[44];
+ vX_[3191] = 0 - vX_[3194];
+ vX_[3190] = vX_[3152] * vX_[64] + vX_[3013] * vX_[9] + vX_[3191] * vX_[17];
+ vX_[3189] = 0 - vX_[3194];
+ vX_[3182] = vX_[3182] + vX_[3189] * vX_[0] + vX_[3157] * vX_[811] + vX_[3190] * vX_[5];
+ vX_[3188] = 0 - vX_[3227];
+ vX_[3187] = 0 - vX_[3194];
+ vX_[3186] = vX_[3188] * vX_[41] + vX_[3152] * vX_[834] + vX_[3013] * vX_[71] + vX_[3187] * vX_[110];
+ vX_[3184] = 0 - vX_[3194];
+ vX_[3169] = vX_[3069] * vX_[65] + vX_[3222] * vX_[9] + vX_[3184] * vX_[119];
+ vX_[3012] = 0 - (vX_[3157] * vX_[100] + vX_[3190] * vX_[821] + vX_[3186] * vX_[50] + vX_[3169] * vX_[88]) + vX_[3182] * vX_[599];
+ vX_[3170] = 0 - vX_[3012];
+ vX_[3144] = 0 - vX_[3194];
+ vX_[3153] = vX_[3152] * vX_[833] + vX_[3013] * vX_[819] + vX_[3144] * vX_[97];
+ vX_[3163] = 0 - vX_[3012];
+ vX_[3068] = 0 - (vX_[3153] * 0.207 + vX_[3157] * vX_[102] + vX_[3190] * vX_[820] + vX_[3186] * vX_[88] + vX_[3169] * vX_[101]) + vX_[3182] * vX_[586] + vX_[3163] * vX_[630];
+ vX_[3154] = 0 - vX_[3068];
+ vX_[3164] = 0 - vX_[3012];
+ vX_[2987] = 0 - vX_[3068];
+ vX_[3153] = 0 - vX_[3153] + vX_[3182] * vX_[552] + vX_[3164] * vX_[519] + vX_[2987] * vX_[645];
+ vX_[3155] = 0 - vX_[3153];
+ vX_[3165] = 0 - (vX_[3157] * vX_[50] + vX_[3190] * vX_[88]) + vX_[3182] * vX_[582] + vX_[3170] * vX_[564] + vX_[3154] * vX_[566] + vX_[3155] * vX_[684];
+ vX_[3117] = 0 - vX_[3012];
+ vX_[3219] = 0 - vX_[3068];
+ vX_[3180] = 0 - vX_[3153];
+ vX_[3210] = 0 - vX_[3165];
+ vX_[3129] = (0 - (vX_[3157] * vX_[88] + vX_[3190] * vX_[822]) + vX_[3182] * vX_[686] + vX_[3117] * vX_[692] + vX_[3219] * vX_[694] + vX_[3180] * vX_[700] + vX_[3210] * vX_[674]) * 1 / vX_[682];
+ vX_[3242] = 0 - vX_[3129];
+ vX_[3165] = (vX_[3165] + vX_[3242] * vX_[705]) * 1 / vX_[680];
+ vX_[3245] = 0 - vX_[3129];
+ vX_[3213] = 0 - vX_[3165];
+ vX_[3153] = (vX_[3153] + vX_[3245] * vX_[699] + vX_[3213] * vX_[655]) * 1 / vX_[683];
+ vX_[3211] = 0 - vX_[3129];
+ vX_[3241] = 0 - vX_[3165];
+ vX_[3123] = 0 - vX_[3153];
+ vX_[3068] = (vX_[3068] + vX_[3211] * vX_[595] + vX_[3241] * vX_[644] + vX_[3123] * vX_[550]) * 1 / vX_[580];
+ vX_[3127] = vX_[3153] * -1 + vX_[3068] * 0.207;
+ vX_[3126] = 0 - vX_[3129];
+ vX_[3125] = 0 - vX_[3165];
+ vX_[3237] = 0 - vX_[3153];
+ vX_[3205] = 0 - vX_[3068];
+ vX_[3012] = (vX_[3012] + vX_[3126] * vX_[691] + vX_[3125] * vX_[624] + vX_[3237] * vX_[471] + vX_[3205] * vX_[629]) * 1 / vX_[578];
+ vX_[3124] = 0 - vX_[3129];
+ vX_[3122] = 0 - vX_[3165];
+ vX_[3240] = 0 - vX_[3153];
+ vX_[3120] = 0 - vX_[3068];
+ vX_[3206] = 0 - vX_[3012];
+ vX_[3118] = (0 - vX_[3182] + vX_[3124] * vX_[536] + vX_[3122] * vX_[472] + vX_[3240] * vX_[656] + vX_[3120] * vX_[590] + vX_[3206] * vX_[598]) * 1 / vX_[581];
+ vX_[3115] = vX_[3129] * vX_[583] + vX_[3165] * vX_[587] + vX_[3068] * vX_[696] + vX_[3012] * vX_[591] + vX_[3118] * vX_[354];
+ vX_[3238] = vX_[3068] * vX_[435] + vX_[3012] * vX_[449];
+ vX_[3236] = vX_[3127] * vX_[383] + vX_[3115] * vX_[668] + vX_[3238] * vX_[662];
+ vX_[3121] = vX_[3127] * vX_[356] + vX_[3115] * vX_[383] + vX_[3238] * vX_[401];
+ vX_[3119] = vX_[3238] * -1;
+ vX_[3116] = vX_[3236] * 1 / vX_[380];
+ vX_[3252] = vX_[3121] * 1 / vX_[380];
+ vX_[3253] = vX_[3119] * 1 / vX_[380];
+ vX_[3254] = vX_[3118] * -1;
+ vX_[3255] = vX_[3127] * 1 / vX_[432];
+ vX_[3256] = vX_[3129] * vX_[435] + vX_[3165] * vX_[353] + vX_[3068] * vX_[450] + vX_[3012] * vX_[448] + vX_[3118] * vX_[724];
+ vX_[3257] = vX_[3256] * 1 / vX_[432];
+ vX_[3258] = vX_[3115] * 1 / vX_[432];
+ vX_[3259] = vX_[3254] * 1 / vX_[432];
+ vX_[3260] = vX_[3238] * 1 / vX_[432];
+ vX_[3261] = vX_[3068] * vX_[449] + vX_[3012] * vX_[447];
+ vX_[3262] = vX_[3261] * 1 / vX_[432];
+ vX_[3254] = vX_[3254] - (vX_[3255] * vX_[444] + vX_[3257] * vX_[406] + vX_[3258] * vX_[396] + vX_[3259] * vX_[432] + vX_[3260] * vX_[458] + vX_[3262] * vX_[467]);
+ vX_[3263] = vX_[3254] * vX_[383] + vX_[3261] * vX_[395];
+ vX_[3264] = vX_[3263] * 1 / vX_[380];
+ vX_[3265] = vX_[3254] * vX_[356] + vX_[3261] * vX_[383];
+ vX_[3266] = vX_[3265] * 1 / vX_[380];
+ vX_[3119] = vX_[3119] - (vX_[3116] * vX_[390] + vX_[3252] * vX_[378] + vX_[3253] * vX_[380] + vX_[3264] * vX_[386] + vX_[3266] * vX_[368]);
+ vX_[3267] = vX_[3236] * vX_[359] + vX_[3121] * vX_[357] + vX_[3119] * vX_[362];
+ vX_[3268] = vX_[3236] * vX_[357] + vX_[3121] * vX_[618] + vX_[3119] * vX_[612];
+ vX_[3269] = vX_[3119] - (vX_[3268] * 38.1956380581338 * 0.1104774 + vX_[3267] * 38.1956380581338 * -0.0004405 + vX_[3119] * 38.1956380581338 * 0.026181);
+ vX_[3270] = vX_[3263] * vX_[357] + vX_[3265] * vX_[360];
+ vX_[3271] = vX_[3267] * 0.881 + (0 - vX_[3269]) * 0.0004405 + vX_[3270] * -8.81e-05;
+ vX_[3272] = vX_[3268] * -0.881;
+ vX_[3273] = vX_[3269] * 0.1104774;
+ vX_[3274] = vX_[3263] * vX_[359] + vX_[3265] * vX_[357];
+ vX_[3275] = vX_[3274] * -8.81e-05;
+ vX_[3276] = vX_[3272] - vX_[3273] + vX_[3275];
+ vX_[3277] = vX_[3271] * vX_[352] + vX_[3276] * vX_[635];
+ vX_[3278] = vX_[3121] * 3.146 + (0 - vX_[3119]) * -0.0825825;
+ vX_[3279] = vX_[3236] * -3.146;
+ vX_[3280] = vX_[3119] * 0.47422804;
+ vX_[3281] = vX_[3279] - vX_[3280];
+ vX_[3282] = vX_[3277] + vX_[3278] * vX_[651] + vX_[3281] * vX_[626];
+ vX_[3283] = vX_[3115] * 3.44 + vX_[3238] * 0.5824264;
+ vX_[3284] = 0 - vX_[3283];
+ vX_[3285] = vX_[3127] * 3.44 + (0 - vX_[3238]) * 0.1466472;
+ vX_[3286] = vX_[3127] * vX_[452] + vX_[3256] * vX_[434] + vX_[3115] * vX_[443] + vX_[3238] * vX_[516] + vX_[3261] * vX_[570];
+ vX_[3287] = vX_[3282] * -1 + vX_[3284] * vX_[697] + vX_[3285] * vX_[664] + vX_[3286] * x_in[24];
+ vX_[3288] = 0 - vX_[3129] * vX_[1014];
+ vX_[3289] = 0 - vX_[3288];
+ vX_[3290] = 0 - vX_[3288];
+ vX_[3210] = (vX_[3210] * vX_[1014] + vX_[3290] * vX_[705]) * 1 / vX_[680];
+ vX_[3291] = 0 - vX_[3210];
+ vX_[3292] = 0 - vX_[3288];
+ vX_[3293] = 0 - vX_[3210];
+ vX_[3180] = (vX_[3180] * vX_[1014] + vX_[3292] * vX_[699] + vX_[3293] * vX_[655]) * 1 / vX_[683];
+ vX_[3294] = 0 - vX_[3180];
+ vX_[3219] = (vX_[3219] * vX_[1014] + vX_[3289] * vX_[595] + vX_[3291] * vX_[644] + vX_[3294] * vX_[550]) * 1 / vX_[580];
+ vX_[3290] = vX_[3242] * vX_[703] + vX_[3290] * vX_[674];
+ vX_[3242] = 0 - vX_[3290];
+ vX_[3295] = 0 - vX_[3165] * vX_[703] - vX_[3210] * vX_[674];
+ vX_[3296] = 0 - vX_[3295];
+ vX_[3297] = 0 - vX_[3290];
+ vX_[3298] = 0 - vX_[3295];
+ vX_[3155] = (vX_[3155] * vX_[728] + vX_[3297] * vX_[699] + vX_[3298] * vX_[655]) * 1 / vX_[683];
+ vX_[3299] = 0 - vX_[3155];
+ vX_[3154] = (vX_[3154] * vX_[728] + vX_[3242] * vX_[595] + vX_[3296] * vX_[644] + vX_[3299] * vX_[550]) * 1 / vX_[580];
+ vX_[3297] = vX_[3245] * vX_[1016] + vX_[3292] * vX_[700] + vX_[3297] * vX_[684];
+ vX_[3292] = 0 - vX_[3297];
+ vX_[3298] = vX_[3213] * vX_[1016] + vX_[3293] * vX_[700] + vX_[3298] * vX_[684];
+ vX_[3293] = 0 - vX_[3298];
+ vX_[3213] = 0 - vX_[3153] * vX_[1016] - vX_[3180] * vX_[700] - vX_[3155] * vX_[684];
+ vX_[3245] = 0 - vX_[3213];
+ vX_[2987] = (vX_[2987] * vX_[1018] + vX_[3292] * vX_[595] + vX_[3293] * vX_[644] + vX_[3245] * vX_[550]) * 1 / vX_[580];
+ vX_[3300] = 0 - vX_[3068] * vX_[861] - vX_[3219] * vX_[694] - vX_[3154] * vX_[566] - vX_[2987] * vX_[645];
+ vX_[3301] = 0 - vX_[3288];
+ vX_[3302] = 0 - vX_[3210];
+ vX_[3303] = 0 - vX_[3180];
+ vX_[3304] = 0 - vX_[3219];
+ vX_[3305] = 0 - vX_[3288];
+ vX_[3306] = 0 - vX_[3210];
+ vX_[3307] = 0 - vX_[3180];
+ vX_[3308] = 0 - vX_[3219];
+ vX_[3117] = (vX_[3117] * vX_[1014] + vX_[3305] * vX_[691] + vX_[3306] * vX_[624] + vX_[3307] * vX_[471] + vX_[3308] * vX_[629]) * 1 / vX_[578];
+ vX_[3309] = 0 - vX_[3117];
+ vX_[3310] = (vX_[3182] * vX_[1014] + vX_[3301] * vX_[536] + vX_[3302] * vX_[472] + vX_[3303] * vX_[656] + vX_[3304] * vX_[590] + vX_[3309] * vX_[598]) * 1 / vX_[581];
+ vX_[3311] = 0 - vX_[3290];
+ vX_[3312] = 0 - vX_[3295];
+ vX_[3313] = 0 - vX_[3155];
+ vX_[3314] = 0 - vX_[3154];
+ vX_[3315] = 0 - vX_[3290];
+ vX_[3316] = 0 - vX_[3295];
+ vX_[3317] = 0 - vX_[3155];
+ vX_[3318] = 0 - vX_[3154];
+ vX_[3170] = (vX_[3170] * vX_[728] + vX_[3315] * vX_[691] + vX_[3316] * vX_[624] + vX_[3317] * vX_[471] + vX_[3318] * vX_[629]) * 1 / vX_[578];
+ vX_[3319] = 0 - vX_[3170];
+ vX_[3320] = (vX_[3182] * vX_[728] + vX_[3311] * vX_[536] + vX_[3312] * vX_[472] + vX_[3313] * vX_[656] + vX_[3314] * vX_[590] + vX_[3319] * vX_[598]) * 1 / vX_[581];
+ vX_[3321] = 0 - vX_[3297];
+ vX_[3322] = 0 - vX_[3298];
+ vX_[3323] = 0 - vX_[3213];
+ vX_[3324] = 0 - vX_[2987];
+ vX_[3325] = 0 - vX_[3297];
+ vX_[3326] = 0 - vX_[3298];
+ vX_[3327] = 0 - vX_[3213];
+ vX_[3328] = 0 - vX_[2987];
+ vX_[3164] = (vX_[3164] * vX_[1018] + vX_[3325] * vX_[691] + vX_[3326] * vX_[624] + vX_[3327] * vX_[471] + vX_[3328] * vX_[629]) * 1 / vX_[578];
+ vX_[3329] = 0 - vX_[3164];
+ vX_[3330] = (vX_[3182] * vX_[1018] + vX_[3321] * vX_[536] + vX_[3322] * vX_[472] + vX_[3323] * vX_[656] + vX_[3324] * vX_[590] + vX_[3329] * vX_[598]) * 1 / vX_[581];
+ vX_[3292] = vX_[3211] * vX_[861] + vX_[3289] * vX_[694] + vX_[3242] * vX_[566] + vX_[3292] * vX_[645];
+ vX_[3242] = 0 - vX_[3292];
+ vX_[3293] = vX_[3241] * vX_[861] + vX_[3291] * vX_[694] + vX_[3296] * vX_[566] + vX_[3293] * vX_[645];
+ vX_[3296] = 0 - vX_[3293];
+ vX_[3245] = vX_[3123] * vX_[861] + vX_[3294] * vX_[694] + vX_[3299] * vX_[566] + vX_[3245] * vX_[645];
+ vX_[3299] = 0 - vX_[3245];
+ vX_[3294] = 0 - vX_[3300];
+ vX_[3123] = 0 - vX_[3292];
+ vX_[3291] = 0 - vX_[3293];
+ vX_[3241] = 0 - vX_[3245];
+ vX_[3289] = 0 - vX_[3300];
+ vX_[3163] = (vX_[3163] * vX_[1050] + vX_[3123] * vX_[691] + vX_[3291] * vX_[624] + vX_[3241] * vX_[471] + vX_[3289] * vX_[629]) * 1 / vX_[578];
+ vX_[3211] = 0 - vX_[3163];
+ vX_[3331] = (vX_[3182] * vX_[1050] + vX_[3242] * vX_[536] + vX_[3296] * vX_[472] + vX_[3299] * vX_[656] + vX_[3294] * vX_[590] + vX_[3211] * vX_[598]) * 1 / vX_[581];
+ vX_[3123] = vX_[3126] * vX_[922] + vX_[3305] * vX_[692] + vX_[3315] * vX_[564] + vX_[3325] * vX_[519] + vX_[3123] * vX_[630];
+ vX_[3325] = 0 - vX_[3123];
+ vX_[3291] = vX_[3125] * vX_[922] + vX_[3306] * vX_[692] + vX_[3316] * vX_[564] + vX_[3326] * vX_[519] + vX_[3291] * vX_[630];
+ vX_[3326] = 0 - vX_[3291];
+ vX_[3241] = vX_[3237] * vX_[922] + vX_[3307] * vX_[692] + vX_[3317] * vX_[564] + vX_[3327] * vX_[519] + vX_[3241] * vX_[630];
+ vX_[3327] = 0 - vX_[3241];
+ vX_[3289] = vX_[3205] * vX_[922] + vX_[3308] * vX_[692] + vX_[3318] * vX_[564] + vX_[3328] * vX_[519] + vX_[3289] * vX_[630];
+ vX_[3328] = 0 - vX_[3289];
+ vX_[3318] = 0 - vX_[3012] * vX_[922] - vX_[3117] * vX_[692] - vX_[3170] * vX_[564] - vX_[3164] * vX_[519] - vX_[3163] * vX_[630];
+ vX_[3308] = 0 - vX_[3318];
+ vX_[3182] = (vX_[3182] * vX_[1052] + vX_[3325] * vX_[536] + vX_[3326] * vX_[472] + vX_[3327] * vX_[656] + vX_[3328] * vX_[590] + vX_[3308] * vX_[598]) * 1 / vX_[581];
+ vX_[3205] = 0 - vX_[3118] * vX_[995] - vX_[3310] * vX_[686] - vX_[3320] * vX_[582] - vX_[3330] * vX_[552] - vX_[3331] * vX_[586] - vX_[3182] * vX_[599];
+ vX_[3317] = vX_[3300] - vX_[3205];
+ vX_[3307] = vX_[3163] + vX_[3289];
+ vX_[3237] = vX_[3317] * vX_[449] + vX_[3307] * vX_[447];
+ vX_[3316] = vX_[3318] - vX_[3205];
+ vX_[3306] = vX_[3316] * vX_[449];
+ vX_[3125] = vX_[3317] * vX_[435] + vX_[3307] * vX_[449];
+ vX_[3315] = vX_[3316] * vX_[447];
+ vX_[3305] = vX_[3125] + vX_[3315];
+ vX_[3126] = vX_[3237] * vX_[435] + vX_[3306] * vX_[447] + vX_[3305] * vX_[449];
+ vX_[3332] = 0 - vX_[3126];
+ vX_[3333] = vX_[3205] + vX_[3125] * vX_[435] + vX_[3306] * vX_[449];
+ vX_[3334] = 0 - vX_[3333];
+ vX_[3335] = vX_[3205] + vX_[3237] * vX_[449] + vX_[3315] * vX_[447];
+ vX_[3326] = vX_[3122] * vX_[995] + vX_[3302] * vX_[686] + vX_[3312] * vX_[582] + vX_[3322] * vX_[552] + vX_[3296] * vX_[586] + vX_[3326] * vX_[599];
+ vX_[3296] = vX_[3320] + vX_[3326];
+ vX_[3322] = vX_[3164] + vX_[3241] - vX_[3296];
+ vX_[3325] = vX_[3124] * vX_[995] + vX_[3301] * vX_[686] + vX_[3311] * vX_[582] + vX_[3321] * vX_[552] + vX_[3242] * vX_[586] + vX_[3325] * vX_[599];
+ vX_[3242] = vX_[3310] + vX_[3325];
+ vX_[3321] = 0 - (vX_[2987] + vX_[3245]) + vX_[3242];
+ vX_[3311] = (vX_[3242] * vX_[435] + vX_[3296] * vX_[449]) * -1;
+ vX_[3301] = 0 - (vX_[3322] * vX_[449] + vX_[3321] * vX_[447]) + vX_[3311];
+ vX_[3124] = vX_[3301] + vX_[3333] * vX_[436];
+ vX_[3312] = 0 - vX_[3124];
+ vX_[3302] = (vX_[3242] * vX_[449] + vX_[3296] * vX_[447]) * -1;
+ vX_[3122] = vX_[3322] * vX_[435] + vX_[3321] * vX_[449] + vX_[3302];
+ vX_[3336] = 0 - vX_[3335];
+ vX_[3337] = vX_[3122] + vX_[3126] * vX_[436] + vX_[3336] * vX_[355];
+ vX_[3338] = vX_[3154] + vX_[3293];
+ vX_[3339] = vX_[3219] + vX_[3292];
+ vX_[3340] = vX_[3338] * vX_[447] + vX_[3339] * vX_[449];
+ vX_[3341] = vX_[3117] + vX_[3123];
+ vX_[3342] = vX_[3170] + vX_[3291];
+ vX_[3343] = vX_[3341] * vX_[449] + vX_[3342] * vX_[447];
+ vX_[3344] = vX_[3340] * vX_[435] + vX_[3343] * vX_[449];
+ vX_[3308] = vX_[3206] * vX_[995] + vX_[3309] * vX_[686] + vX_[3319] * vX_[582] + vX_[3329] * vX_[552] + vX_[3211] * vX_[586] + vX_[3308] * vX_[599];
+ vX_[3211] = vX_[3182] + vX_[3308];
+ vX_[3328] = vX_[3120] * vX_[995] + vX_[3304] * vX_[686] + vX_[3314] * vX_[582] + vX_[3324] * vX_[552] + vX_[3294] * vX_[586] + vX_[3328] * vX_[599];
+ vX_[3294] = vX_[3331] + vX_[3328];
+ vX_[3324] = 0 - vX_[3294];
+ vX_[3314] = vX_[3211] * vX_[449] + vX_[3324] * vX_[447];
+ vX_[3304] = 0 - vX_[3314];
+ vX_[3120] = vX_[3344] + vX_[3304] * vX_[355] + vX_[3334] * vX_[451];
+ vX_[3329] = 0 - vX_[3120];
+ vX_[3319] = vX_[3338] * vX_[449] + vX_[3339] * vX_[435];
+ vX_[3309] = vX_[3341] * vX_[435] + vX_[3342] * vX_[449];
+ vX_[3206] = vX_[3319] * vX_[449] + vX_[3309] * vX_[447];
+ vX_[3294] = 0 - vX_[3294];
+ vX_[3345] = vX_[3211] * vX_[435] + vX_[3294] * vX_[449];
+ vX_[3346] = 0 - vX_[3345];
+ vX_[3347] = vX_[3206] + vX_[3346] * vX_[436] + vX_[3335] * vX_[451];
+ vX_[3348] = vX_[3319] * vX_[435] + vX_[3309] * vX_[449];
+ vX_[3349] = vX_[3348] + vX_[3314] * vX_[436];
+ vX_[3350] = vX_[3340] * vX_[449] + vX_[3343] * vX_[447];
+ vX_[3351] = vX_[3350] + vX_[3345] * vX_[355] + vX_[3332] * vX_[451];
+ vX_[3352] = 0 - vX_[3349] + vX_[3351];
+ vX_[3353] = 0 - vX_[3126];
+ vX_[3354] = 0 - vX_[3333];
+ vX_[3334] = vX_[3332] * vX_[573] + vX_[3334] * vX_[518] + vX_[3335] * vX_[414] + vX_[3312] * vX_[452] + vX_[3337] * vX_[463] + vX_[3329] * vX_[443] + vX_[3347] * vX_[437] + vX_[3352] * vX_[434] + vX_[3126] * vX_[567] + vX_[3353] * vX_[570] + vX_[3354] * vX_[517] + vX_[3335] * vX_[521];
+ vX_[3332] = 0 - vX_[3271];
+ vX_[3355] = vX_[3256] * -1 + vX_[3254] * -0.08;
+ vX_[3356] = vX_[3355] + vX_[3263] * -0.35;
+ vX_[3357] = vX_[3356] * 0.881 + (0 - vX_[3270]) * 0.1104774 + vX_[3274] * 0.0004405;
+ vX_[3358] = vX_[3268] * 0.00185880198235362 + vX_[3267] * 0.880992588508842 + vX_[3270] * -8.81e-05;
+ vX_[3359] = vX_[3332] * vX_[706] + vX_[3357] * vX_[635] + vX_[3358] * x_in[26];
+ vX_[3275] = 0 - vX_[3272] + vX_[3273] - vX_[3275];
+ vX_[3273] = 0 - vX_[3357];
+ vX_[3272] = vX_[3268] * 0.414812462825713 + vX_[3267] * 0.00185880198235362 + vX_[3274] * 8.81e-05;
+ vX_[3360] = vX_[3275] * vX_[706] + vX_[3273] * vX_[352] - vX_[3272] * x_in[26];
+ vX_[3361] = 0 - vX_[3278];
+ vX_[3362] = vX_[3355] * 3.146 + (0 - vX_[3263]) * 0.47422804 + vX_[3265] * -0.0825825;
+ vX_[3363] = vX_[3236] * vX_[411] + vX_[3121] * vX_[410] + vX_[3263] * vX_[387] + vX_[3265] * vX_[382];
+ vX_[3364] = vX_[3359] * vX_[357] + vX_[3360] * vX_[359] + vX_[3361] * vX_[628] + vX_[3362] * vX_[626] + vX_[3363] * x_in[25];
+ vX_[3280] = 0 - vX_[3279] + vX_[3280];
+ vX_[3279] = 0 - vX_[3362];
+ vX_[3365] = vX_[3236] * vX_[409] + vX_[3121] * vX_[411] + vX_[3263] * vX_[393] + vX_[3265] * vX_[392];
+ vX_[3366] = vX_[3359] * vX_[618] + vX_[3360] * vX_[357] + vX_[3280] * vX_[628] + vX_[3279] * vX_[651] - vX_[3365] * x_in[25];
+ vX_[3367] = vX_[3256] * -3.44;
+ vX_[3368] = vX_[3254] * 0.1466472;
+ vX_[3369] = vX_[3261] * 0.5824264;
+ vX_[3370] = 0 - vX_[3367] + vX_[3368] - vX_[3369];
+ vX_[3371] = 0 - vX_[3285];
+ vX_[3372] = vX_[3127] * vX_[463] + vX_[3256] * vX_[437] + vX_[3115] * vX_[434] + vX_[3238] * vX_[567] + vX_[3261] * vX_[515];
+ vX_[3373] = vX_[3364] * vX_[668] + vX_[3366] * vX_[383] + vX_[3370] * vX_[697] + vX_[3371] * vX_[704] - vX_[3372] * x_in[24];
+ vX_[3374] = vX_[3300] + vX_[3318] + vX_[3205] - vX_[3333] - vX_[3335];
+ vX_[3375] = 0 - vX_[3374];
+ vX_[3311] = vX_[3311] + vX_[3375] * vX_[436];
+ vX_[3302] = vX_[3302] + vX_[3374] * vX_[355];
+ vX_[3376] = 0 - vX_[3337];
+ vX_[3377] = 0 - vX_[3347];
+ vX_[3327] = vX_[3240] * vX_[995] + vX_[3303] * vX_[686] + vX_[3313] * vX_[582] + vX_[3323] * vX_[552] + vX_[3299] * vX_[586] + vX_[3327] * vX_[599];
+ vX_[3299] = vX_[3330] + vX_[3327] + vX_[3339] + vX_[3342] - vX_[3348] - vX_[3350];
+ vX_[3351] = vX_[3299] - vX_[3351];
+ vX_[3323] = 0 - vX_[3314];
+ vX_[3313] = 0 - vX_[3126];
+ vX_[3303] = 0 - vX_[3335];
+ vX_[3240] = vX_[3288] - vX_[3213];
+ vX_[3378] = vX_[3295] - vX_[3213];
+ vX_[3379] = vX_[3210] + vX_[3290];
+ vX_[3380] = vX_[3155] + vX_[3298];
+ vX_[3381] = vX_[3180] + vX_[3297];
+ vX_[3382] = 0 - vX_[3381];
+ vX_[3383] = vX_[3240] * vX_[449] + vX_[3379] * vX_[447];
+ vX_[3384] = vX_[3378] * vX_[449];
+ vX_[3385] = vX_[3240] * vX_[435] + vX_[3379] * vX_[449];
+ vX_[3386] = vX_[3378] * vX_[447];
+ vX_[3387] = vX_[3385] + vX_[3386];
+ vX_[3388] = vX_[3356] * 0.0004405 + vX_[3268] * -8.81e-05 + vX_[3274] * -0.000227999999999999;
+ vX_[3389] = vX_[3356] * 0.1104774 + vX_[3267] * -8.81e-05 + (0 - vX_[3270]) * 0.025713;
+ vX_[3390] = (0 - vX_[3268]) * 0.0004405;
+ vX_[3391] = (0 - vX_[3267]) * 0.1104774;
+ vX_[3392] = vX_[3390] + vX_[3391];
+ vX_[3392] = vX_[3332] * vX_[606] + vX_[3275] * vX_[234] + vX_[3388] * vX_[352] + vX_[3389] * vX_[635] + vX_[3392] * vX_[706] + vX_[3392] * vX_[706];
+ vX_[3275] = vX_[3355] * -0.0825825 + (0 - vX_[3119]) * 0.000102 + vX_[3263] * 0.007418 + vX_[3265] * 0.002735;
+ vX_[3332] = vX_[3355] * 0.47422804 + vX_[3119] * 2.1e-05 + (0 - vX_[3263]) * 0.084376 + (0 - vX_[3265]) * 0.007418;
+ vX_[3393] = (0 - vX_[3236]) * -0.0825825;
+ vX_[3394] = (0 - vX_[3121]) * 0.47422804;
+ vX_[3395] = vX_[3263] * 0.000102;
+ vX_[3396] = (0 - vX_[3265]) * 2.1e-05;
+ vX_[3397] = vX_[3393] + vX_[3394] + vX_[3395] + vX_[3396];
+ vX_[3397] = vX_[3392] + vX_[3359] * vX_[612] + vX_[3360] * vX_[362] + vX_[3361] * vX_[653] + vX_[3280] * vX_[649] + vX_[3275] * vX_[651] + vX_[3332] * vX_[626] + vX_[3397] * vX_[628] + vX_[3397] * vX_[628];
+ vX_[3280] = vX_[3256] * 0.5824264 + (0 - vX_[3254]) * -0.022734 + vX_[3238] * -3.6e-05 + vX_[3261] * -0.133138;
+ vX_[3361] = vX_[3256] * 0.1466472 + vX_[3254] * 0.009466 + (0 - vX_[3238]) * -5.1e-05 + vX_[3261] * -0.022734;
+ vX_[3398] = (0 - vX_[3127]) * 0.5824264;
+ vX_[3399] = (0 - vX_[3115]) * 0.1466472;
+ vX_[3400] = (0 - vX_[3254]) * -3.6e-05;
+ vX_[3401] = (0 - vX_[3261]) * -5.1e-05;
+ vX_[3402] = vX_[3398] + vX_[3399] + vX_[3400] - vX_[3401];
+ vX_[3403] = vX_[3127] * vX_[468] + vX_[3256] * vX_[515] + vX_[3115] * vX_[570] + vX_[3238] * vX_[569] + vX_[3261] * vX_[431];
+ vX_[3402] = vX_[3364] * vX_[662] + vX_[3366] * vX_[401] + vX_[3397] * -1 + vX_[3283] * vX_[702] + vX_[3371] * vX_[690] + vX_[3280] * vX_[697] + vX_[3361] * vX_[664] + vX_[3402] * vX_[704] + vX_[3402] * vX_[704] + vX_[3403] * x_in[24];
+ vX_[3269] = vX_[3268] * 0.1104774 + vX_[3267] * 0.0004405 + vX_[3269] * 0.025941;
+ vX_[3371] = (0 - vX_[3356]) * -8.81e-05;
+ vX_[3391] = vX_[3371] + vX_[3391];
+ vX_[3274] = vX_[3356] * 0.0004405 + vX_[3268] * 8.81e-05 + vX_[3274] * 0.000468;
+ vX_[3391] = vX_[3271] * vX_[731] + vX_[3273] * vX_[234] + vX_[3388] * vX_[706] + vX_[3269] * vX_[635] + vX_[3391] * vX_[352] + vX_[3391] * vX_[352] + vX_[3274] * x_in[26];
+ vX_[3371] = vX_[3371] + vX_[3390];
+ vX_[3356] = vX_[3356] * -0.1104774 + vX_[3267] * -8.81e-05 + vX_[3270] * 0.026409;
+ jac[970] = vX_[3272] * vX_[737] + vX_[3358] * vX_[606] + vX_[3356] * vX_[709] + vX_[3274] * vX_[352] + vX_[3392];
+ vX_[3356] = vX_[3276] * vX_[731] + vX_[3357] * vX_[606] + vX_[3389] * vX_[706] + vX_[3269] * vX_[352] + vX_[3371] * vX_[635] + vX_[3371] * vX_[635] - vX_[3356] * x_in[26];
+ vX_[3371] = vX_[3236] * 0.47422804 + vX_[3121] * -0.0825825 + vX_[3119] * 0.081641 + (0 - vX_[3263]) * 2.1e-05 + vX_[3265] * 0.000102;
+ vX_[3269] = (0 - vX_[3119]) * 0.007418;
+ vX_[3396] = vX_[3394] + vX_[3269] - vX_[3396];
+ vX_[3394] = vX_[3355] * vX_[377] + vX_[3236] * vX_[392] + vX_[3121] * vX_[382] + vX_[3263] * vX_[426] + vX_[3265] * vX_[422];
+ vX_[3396] = vX_[3277] * -0.35 + vX_[3391] * vX_[357] + vX_[3356] * vX_[359] + vX_[3278] * vX_[730] + vX_[3279] * vX_[649] + vX_[3275] * vX_[628] + vX_[3371] * vX_[626] + vX_[3396] * vX_[651] + vX_[3396] * vX_[651] + vX_[3394] * x_in[25];
+ vX_[3269] = vX_[3393] - vX_[3269] - vX_[3395];
+ vX_[3395] = vX_[3355] * vX_[389] + vX_[3236] * vX_[393] + vX_[3121] * vX_[387] + vX_[3263] * vX_[420] + vX_[3265] * vX_[426];
+ jac[934] = vX_[3365] * vX_[739] + vX_[3363] * vX_[653] + vX_[3395] * vX_[715] + vX_[3394] * vX_[651] + vX_[3397];
+ vX_[3395] = vX_[3391] * vX_[360] + vX_[3356] * vX_[357] + vX_[3281] * vX_[730] + vX_[3362] * vX_[653] + vX_[3332] * vX_[628] + vX_[3371] * vX_[651] + vX_[3269] * vX_[626] + vX_[3269] * vX_[626] - vX_[3395] * x_in[25];
+ vX_[3369] = vX_[3367] - vX_[3368] + vX_[3369];
+ vX_[3368] = vX_[3127] * 0.1466472 + vX_[3115] * 0.5824264 + vX_[3254] * -5.1e-05 + (0 - vX_[3238]) * -0.123672 + (0 - vX_[3261]) * -3.6e-05;
+ vX_[3367] = vX_[3238] * -0.022734;
+ vX_[3400] = vX_[3398] - vX_[3400] - vX_[3367];
+ vX_[3398] = vX_[3127] * vX_[405] + vX_[3256] * vX_[567] + vX_[3115] * vX_[516] + vX_[3238] * vX_[514] + vX_[3261] * vX_[569];
+ vX_[3400] = vX_[3396] * vX_[395] + vX_[3395] * vX_[383] + vX_[3369] * vX_[702] + vX_[3285] * vX_[725] + vX_[3368] * vX_[697] + vX_[3361] * vX_[704] + vX_[3400] * vX_[664] + vX_[3400] * vX_[664] - vX_[3398] * x_in[24];
+ vX_[3361] = 0 - vX_[3311];
+ vX_[3285] = 0 - vX_[3302];
+ vX_[3299] = 0 - vX_[3299] + vX_[3349];
+ vX_[3349] = 0 - vX_[3345];
+ vX_[3381] = 0 - vX_[3381];
+ jac[250] = 0 - (0 - (vX_[3165] * vX_[718] + vX_[3287] * x_in[22]) + (vX_[3068] * vX_[718] + vX_[3334] * vX_[449] + vX_[3287] * x_in[20]) * -0.3735 - (vX_[3129] * vX_[949] + vX_[3373] * x_in[23]) + (vX_[3012] * vX_[949] + vX_[3373] * x_in[19]) * 0.3735 + (vX_[3118] * vX_[949] + (vX_[3304] * vX_[518] + vX_[3345] * vX_[573] + vX_[3374] * vX_[462] + vX_[3336] * vX_[464] + vX_[3311] * vX_[434] + vX_[3302] * vX_[443] + vX_[3376] * vX_[446] + vX_[3377] * vX_[463] + vX_[3351] * vX_[452] + vX_[3323] * vX_[516] + vX_[3345] * vX_[570] + vX_[3313] * vX_[405] + vX_[3303] * vX_[523]) * -1 + vX_[3373] * x_in[18]) * -0.207 - (vX_[3068] * vX_[688] + vX_[3012] * vX_[747] + vX_[3240] * vX_[681] + vX_[3378] * vX_[679] + vX_[3379] * vX_[677] + vX_[3380] * vX_[654] + vX_[3382] * vX_[452] + vX_[3383] * vX_[658] + vX_[3384] * vX_[657] + vX_[3387] * vX_[434] + vX_[3338] * vX_[643] + vX_[3341] * vX_[623] + vX_[3242] * vX_[470] + vX_[3296] * vX_[460] + vX_[3339] * vX_[642] + vX_[3342] * vX_[620] + vX_[3319] * vX_[619] + vX_[3340] * vX_[621] + vX_[3309] * vX_[572] + vX_[3343] * vX_[622] + vX_[3322] * vX_[459] + vX_[3321] * vX_[469] + vX_[3317] * vX_[579] + vX_[3316] * vX_[577] + vX_[3307] * vX_[575] + vX_[3211] * vX_[596] + vX_[3294] * vX_[597] + vX_[3237] * vX_[524] + vX_[3306] * vX_[520] + vX_[3305] * vX_[574] + vX_[3334] * vX_[450] + vX_[3402] * x_in[19] + vX_[3400] * x_in[20])) * vX_[1083] + (vX_[3129] * vX_[718] + vX_[3068] * vX_[747] + vX_[3240] * vX_[677] + vX_[3380] * vX_[452] + vX_[3385] * vX_[657] + vX_[3383] * vX_[434] + vX_[3341] * vX_[620] + vX_[3242] * vX_[460] + vX_[3339] * vX_[643] + vX_[3319] * vX_[572] + vX_[3340] * vX_[622] + vX_[3322] * vX_[469] + vX_[3317] * vX_[575] + vX_[3211] * vX_[597] + vX_[3125] * vX_[520] + vX_[3237] * vX_[574] + (vX_[3314] * vX_[571] + vX_[3346] * vX_[414] + vX_[3126] * vX_[464] + vX_[3375] * vX_[438] + vX_[3333] * vX_[453] + vX_[3361] * vX_[437] + vX_[3124] * vX_[446] + vX_[3285] * vX_[434] + vX_[3120] * vX_[452] + vX_[3299] * vX_[463] + vX_[3314] * vX_[567] + vX_[3349] * vX_[515] + vX_[3126] * vX_[468] + vX_[3333] * vX_[512]) * 0.207 + vX_[3287] * x_in[23] + vX_[3402] * x_in[20] + (vX_[3012] * vX_[718] + vX_[3334] * vX_[447] + vX_[3287] * x_in[19]) * -0.3735 + (vX_[3118] * vX_[718] + vX_[3287] * x_in[18]) * 0.207 - (vX_[3165] * vX_[949] + vX_[3373] * x_in[22]) + (vX_[3068] * vX_[949] + vX_[3373] * x_in[20]) * -0.3735 - (vX_[3012] * vX_[688] + vX_[3378] * vX_[678] + vX_[3379] * vX_[681] + vX_[3381] * vX_[654] + vX_[3384] * vX_[434] + vX_[3386] * vX_[658] + vX_[3338] * vX_[642] + vX_[3296] * vX_[470] + vX_[3342] * vX_[623] + vX_[3309] * vX_[619] + vX_[3343] * vX_[621] + vX_[3321] * vX_[459] + vX_[3316] * vX_[576] + vX_[3307] * vX_[579] + vX_[3324] * vX_[596] + vX_[3306] * vX_[574] + vX_[3315] * vX_[524] + vX_[3334] * vX_[448] + vX_[3400] * x_in[19])) * vX_[1093];
+ vX_[3379] = -1. + -4.21975478400367 * vX_[844] + -0.0168251785646079 * vX_[77];
+ vX_[3378] = vX_[3379] * 1 / vX_[41];
+ vX_[3240] = 0 - vX_[3378];
+ vX_[3375] = vX_[3240] * vX_[32];
+ vX_[3374] = 0 - vX_[3378];
+ vX_[3334] = vX_[3374] * vX_[69];
+ vX_[3346] = vX_[3375] * vX_[4] + vX_[3334] * vX_[65];
+ vX_[3294] = vX_[3346] * 1 / vX_[0];
+ vX_[3309] = 0 - vX_[3294];
+ vX_[3319] = vX_[3309] * vX_[27];
+ vX_[3304] = 0 - vX_[3378];
+ vX_[3324] = -4.21975478400367 * vX_[76] + -0.0168251785646079 * vX_[62] + vX_[3304] * vX_[26];
+ vX_[3211] = 0 - vX_[3378];
+ vX_[3343] = -4.21975478400367 * vX_[843] + -0.0168251785646079 * vX_[76] + vX_[3211] * vX_[44];
+ vX_[3342] = 0 - vX_[3294];
+ vX_[3341] = vX_[3324] * vX_[64] + vX_[3343] * vX_[9] + vX_[3342] * vX_[17];
+ vX_[3340] = 0 - vX_[3294];
+ vX_[3346] = vX_[3346] + vX_[3340] * vX_[0] + vX_[3319] * vX_[811] + vX_[3341] * vX_[5];
+ vX_[3339] = 0 - vX_[3378];
+ vX_[3338] = 0 - vX_[3294];
+ vX_[3379] = vX_[3379] + vX_[3339] * vX_[41] + vX_[3324] * vX_[834] + vX_[3343] * vX_[71] + vX_[3338] * vX_[110];
+ vX_[3336] = 0 - vX_[3294];
+ vX_[3321] = vX_[3375] * vX_[65] + vX_[3334] * vX_[9] + vX_[3336] * vX_[119];
+ vX_[3242] = 0 - (vX_[3319] * vX_[100] + vX_[3341] * vX_[821] + vX_[3379] * vX_[50] + vX_[3321] * vX_[88]) + vX_[3346] * vX_[599];
+ vX_[3322] = 0 - vX_[3242];
+ vX_[3296] = 0 - vX_[3294];
+ vX_[3305] = vX_[3324] * vX_[833] + vX_[3343] * vX_[819] + vX_[3296] * vX_[97];
+ vX_[3315] = 0 - vX_[3242];
+ vX_[3125] = 0 - (vX_[3305] * 0.207 + vX_[3319] * vX_[102] + vX_[3341] * vX_[820] + vX_[3379] * vX_[88] + vX_[3321] * vX_[101]) + vX_[3346] * vX_[586] + vX_[3315] * vX_[630];
+ vX_[3306] = 0 - vX_[3125];
+ vX_[3316] = 0 - vX_[3242];
+ vX_[3237] = 0 - vX_[3125];
+ vX_[3305] = 0 - vX_[3305] + vX_[3346] * vX_[552] + vX_[3316] * vX_[519] + vX_[3237] * vX_[645];
+ vX_[3307] = 0 - vX_[3305];
+ vX_[3317] = 0 - (vX_[3319] * vX_[50] + vX_[3341] * vX_[88]) + vX_[3346] * vX_[582] + vX_[3322] * vX_[564] + vX_[3306] * vX_[566] + vX_[3307] * vX_[684];
+ vX_[3269] = 0 - vX_[3242];
+ vX_[3371] = 0 - vX_[3125];
+ vX_[3332] = 0 - vX_[3305];
+ vX_[3362] = 0 - vX_[3317];
+ vX_[682] = (0 - (vX_[3319] * vX_[88] + vX_[3341] * vX_[822]) + vX_[3346] * vX_[686] + vX_[3269] * vX_[692] + vX_[3371] * vX_[694] + vX_[3332] * vX_[700] + vX_[3362] * vX_[674]) * 1 / vX_[682];
+ vX_[3281] = 0 - vX_[682];
+ vX_[3317] = (vX_[3317] + vX_[3281] * vX_[705]) * 1 / vX_[680];
+ vX_[3394] = 0 - vX_[682];
+ vX_[3397] = 0 - vX_[3317];
+ vX_[3305] = (vX_[3305] + vX_[3394] * vX_[699] + vX_[3397] * vX_[655]) * 1 / vX_[683];
+ vX_[3365] = 0 - vX_[682];
+ vX_[3363] = 0 - vX_[3317];
+ vX_[3393] = 0 - vX_[3305];
+ vX_[3125] = (vX_[3125] + vX_[3365] * vX_[595] + vX_[3363] * vX_[644] + vX_[3393] * vX_[550]) * 1 / vX_[580];
+ vX_[3275] = vX_[3305] * -1 + vX_[3125] * 0.207;
+ vX_[3279] = 0 - vX_[682];
+ vX_[3278] = 0 - vX_[3317];
+ vX_[3277] = 0 - vX_[3305];
+ vX_[3389] = 0 - vX_[3125];
+ vX_[3242] = (vX_[3242] + vX_[3279] * vX_[691] + vX_[3278] * vX_[624] + vX_[3277] * vX_[471] + vX_[3389] * vX_[629]) * 1 / vX_[578];
+ vX_[3357] = 0 - vX_[682];
+ vX_[3276] = 0 - vX_[3317];
+ vX_[3274] = 0 - vX_[3305];
+ vX_[3392] = 0 - vX_[3125];
+ vX_[3272] = 0 - vX_[3242];
+ vX_[3358] = (0 - vX_[3346] + vX_[3357] * vX_[536] + vX_[3276] * vX_[472] + vX_[3274] * vX_[656] + vX_[3392] * vX_[590] + vX_[3272] * vX_[598]) * 1 / vX_[581];
+ vX_[3270] = vX_[682] * vX_[583] + vX_[3317] * vX_[587] + vX_[3125] * vX_[696] + vX_[3242] * vX_[591] + vX_[3358] * vX_[354];
+ vX_[3267] = vX_[3125] * vX_[435] + vX_[3242] * vX_[449];
+ vX_[3390] = vX_[3275] * vX_[383] + vX_[3270] * vX_[668] + vX_[3267] * vX_[662];
+ vX_[3388] = vX_[3275] * vX_[356] + vX_[3270] * vX_[383] + vX_[3267] * vX_[401];
+ vX_[3273] = vX_[3267] * -1;
+ vX_[3271] = vX_[3390] * 1 / vX_[380];
+ vX_[3268] = vX_[3388] * 1 / vX_[380];
+ vX_[3404] = vX_[3273] * 1 / vX_[380];
+ vX_[3405] = vX_[3358] * -1;
+ vX_[3406] = vX_[3275] * 1 / vX_[432];
+ vX_[3407] = vX_[682] * vX_[435] + vX_[3317] * vX_[353] + vX_[3125] * vX_[450] + vX_[3242] * vX_[448] + vX_[3358] * vX_[724];
+ vX_[3408] = vX_[3407] * 1 / vX_[432];
+ vX_[3409] = vX_[3270] * 1 / vX_[432];
+ vX_[3410] = vX_[3405] * 1 / vX_[432];
+ vX_[3411] = vX_[3267] * 1 / vX_[432];
+ vX_[3412] = vX_[3125] * vX_[449] + vX_[3242] * vX_[447];
+ vX_[3413] = vX_[3412] * 1 / vX_[432];
+ vX_[3405] = vX_[3405] - (vX_[3406] * vX_[444] + vX_[3408] * vX_[406] + vX_[3409] * vX_[396] + vX_[3410] * vX_[432] + vX_[3411] * vX_[458] + vX_[3413] * vX_[467]);
+ vX_[3414] = vX_[3405] * vX_[383] + vX_[3412] * vX_[395];
+ vX_[3415] = vX_[3414] * 1 / vX_[380];
+ vX_[3416] = vX_[3405] * vX_[356] + vX_[3412] * vX_[383];
+ vX_[3417] = vX_[3416] * 1 / vX_[380];
+ vX_[3273] = vX_[3273] - (vX_[3271] * vX_[390] + vX_[3268] * vX_[378] + vX_[3404] * vX_[380] + vX_[3415] * vX_[386] + vX_[3417] * vX_[368]);
+ vX_[3418] = vX_[3390] * vX_[359] + vX_[3388] * vX_[357] + vX_[3273] * vX_[362];
+ vX_[3419] = vX_[3390] * vX_[357] + vX_[3388] * vX_[618] + vX_[3273] * vX_[612];
+ vX_[3420] = vX_[3273] - (vX_[3419] * 38.1956380581338 * 0.1104774 + vX_[3418] * 38.1956380581338 * -0.0004405 + vX_[3273] * 38.1956380581338 * 0.026181);
+ vX_[3421] = vX_[3414] * vX_[357] + vX_[3416] * vX_[360];
+ vX_[3422] = vX_[3418] * 0.881 + (0 - vX_[3420]) * 0.0004405 + vX_[3421] * -8.81e-05;
+ vX_[3423] = vX_[3419] * -0.881;
+ vX_[3424] = vX_[3420] * 0.1104774;
+ vX_[3425] = vX_[3414] * vX_[359] + vX_[3416] * vX_[357];
+ vX_[3426] = vX_[3425] * -8.81e-05;
+ vX_[3427] = vX_[3423] - vX_[3424] + vX_[3426];
+ vX_[3428] = vX_[3422] * vX_[352] + vX_[3427] * vX_[635];
+ vX_[3429] = vX_[3388] * 3.146 + (0 - vX_[3273]) * -0.0825825;
+ vX_[3430] = vX_[3390] * -3.146;
+ vX_[3431] = vX_[3273] * 0.47422804;
+ vX_[3432] = vX_[3430] - vX_[3431];
+ vX_[3433] = vX_[3428] + vX_[3429] * vX_[651] + vX_[3432] * vX_[626];
+ vX_[3434] = vX_[3270] * 3.44 + vX_[3267] * 0.5824264;
+ vX_[3435] = 0 - vX_[3434];
+ vX_[3436] = vX_[3275] * 3.44 + (0 - vX_[3267]) * 0.1466472;
+ vX_[3437] = vX_[3275] * vX_[452] + vX_[3407] * vX_[434] + vX_[3270] * vX_[443] + vX_[3267] * vX_[516] + vX_[3412] * vX_[570];
+ vX_[3438] = vX_[3433] * -1 + vX_[3435] * vX_[697] + vX_[3436] * vX_[664] + vX_[3437] * x_in[24];
+ vX_[3439] = 0 - vX_[682] * vX_[1014];
+ vX_[3440] = 0 - vX_[3439];
+ vX_[3441] = 0 - vX_[3439];
+ vX_[3362] = (vX_[3362] * vX_[1014] + vX_[3441] * vX_[705]) * 1 / vX_[680];
+ vX_[705] = 0 - vX_[3362];
+ vX_[680] = 0 - vX_[3439];
+ vX_[3442] = 0 - vX_[3362];
+ vX_[3332] = (vX_[3332] * vX_[1014] + vX_[680] * vX_[699] + vX_[3442] * vX_[655]) * 1 / vX_[683];
+ vX_[3443] = 0 - vX_[3332];
+ vX_[3371] = (vX_[3371] * vX_[1014] + vX_[3440] * vX_[595] + vX_[705] * vX_[644] + vX_[3443] * vX_[550]) * 1 / vX_[580];
+ vX_[3441] = vX_[3281] * vX_[703] + vX_[3441] * vX_[674];
+ vX_[3281] = 0 - vX_[3441];
+ vX_[703] = 0 - vX_[3317] * vX_[703] - vX_[3362] * vX_[674];
+ vX_[674] = 0 - vX_[703];
+ vX_[3444] = 0 - vX_[3441];
+ vX_[3445] = 0 - vX_[703];
+ vX_[3307] = (vX_[3307] * vX_[728] + vX_[3444] * vX_[699] + vX_[3445] * vX_[655]) * 1 / vX_[683];
+ vX_[699] = 0 - vX_[3307];
+ vX_[3306] = (vX_[3306] * vX_[728] + vX_[3281] * vX_[595] + vX_[674] * vX_[644] + vX_[699] * vX_[550]) * 1 / vX_[580];
+ vX_[3444] = vX_[3394] * vX_[1016] + vX_[680] * vX_[700] + vX_[3444] * vX_[684];
+ vX_[680] = 0 - vX_[3444];
+ vX_[3445] = vX_[3397] * vX_[1016] + vX_[3442] * vX_[700] + vX_[3445] * vX_[684];
+ vX_[3442] = 0 - vX_[3445];
+ vX_[1016] = 0 - vX_[3305] * vX_[1016] - vX_[3332] * vX_[700] - vX_[3307] * vX_[684];
+ vX_[700] = 0 - vX_[1016];
+ vX_[3237] = (vX_[3237] * vX_[1018] + vX_[680] * vX_[595] + vX_[3442] * vX_[644] + vX_[700] * vX_[550]) * 1 / vX_[580];
+ vX_[595] = 0 - vX_[3125] * vX_[861] - vX_[3371] * vX_[694] - vX_[3306] * vX_[566] - vX_[3237] * vX_[645];
+ vX_[644] = 0 - vX_[3439];
+ vX_[550] = 0 - vX_[3362];
+ vX_[580] = 0 - vX_[3332];
+ vX_[684] = 0 - vX_[3371];
+ vX_[3397] = 0 - vX_[3439];
+ vX_[3394] = 0 - vX_[3362];
+ vX_[655] = 0 - vX_[3332];
+ vX_[683] = 0 - vX_[3371];
+ vX_[3269] = (vX_[3269] * vX_[1014] + vX_[3397] * vX_[691] + vX_[3394] * vX_[624] + vX_[655] * vX_[471] + vX_[683] * vX_[629]) * 1 / vX_[578];
+ vX_[3446] = 0 - vX_[3269];
+ vX_[1014] = (vX_[3346] * vX_[1014] + vX_[644] * vX_[536] + vX_[550] * vX_[472] + vX_[580] * vX_[656] + vX_[684] * vX_[590] + vX_[3446] * vX_[598]) * 1 / vX_[581];
+ vX_[3447] = 0 - vX_[3441];
+ vX_[3448] = 0 - vX_[703];
+ vX_[3449] = 0 - vX_[3307];
+ vX_[3450] = 0 - vX_[3306];
+ vX_[3451] = 0 - vX_[3441];
+ vX_[3452] = 0 - vX_[703];
+ vX_[3453] = 0 - vX_[3307];
+ vX_[3454] = 0 - vX_[3306];
+ vX_[3322] = (vX_[3322] * vX_[728] + vX_[3451] * vX_[691] + vX_[3452] * vX_[624] + vX_[3453] * vX_[471] + vX_[3454] * vX_[629]) * 1 / vX_[578];
+ vX_[3455] = 0 - vX_[3322];
+ vX_[728] = (vX_[3346] * vX_[728] + vX_[3447] * vX_[536] + vX_[3448] * vX_[472] + vX_[3449] * vX_[656] + vX_[3450] * vX_[590] + vX_[3455] * vX_[598]) * 1 / vX_[581];
+ vX_[3456] = 0 - vX_[3444];
+ vX_[3457] = 0 - vX_[3445];
+ vX_[3458] = 0 - vX_[1016];
+ vX_[3459] = 0 - vX_[3237];
+ vX_[3460] = 0 - vX_[3444];
+ vX_[3461] = 0 - vX_[3445];
+ vX_[3462] = 0 - vX_[1016];
+ vX_[3463] = 0 - vX_[3237];
+ vX_[3316] = (vX_[3316] * vX_[1018] + vX_[3460] * vX_[691] + vX_[3461] * vX_[624] + vX_[3462] * vX_[471] + vX_[3463] * vX_[629]) * 1 / vX_[578];
+ vX_[3464] = 0 - vX_[3316];
+ vX_[3465] = (vX_[3346] * vX_[1018] + vX_[3456] * vX_[536] + vX_[3457] * vX_[472] + vX_[3458] * vX_[656] + vX_[3459] * vX_[590] + vX_[3464] * vX_[598]) * 1 / vX_[581];
+ vX_[680] = vX_[3365] * vX_[861] + vX_[3440] * vX_[694] + vX_[3281] * vX_[566] + vX_[680] * vX_[645];
+ vX_[3281] = 0 - vX_[680];
+ vX_[3442] = vX_[3363] * vX_[861] + vX_[705] * vX_[694] + vX_[674] * vX_[566] + vX_[3442] * vX_[645];
+ vX_[674] = 0 - vX_[3442];
+ vX_[700] = vX_[3393] * vX_[861] + vX_[3443] * vX_[694] + vX_[699] * vX_[566] + vX_[700] * vX_[645];
+ vX_[699] = 0 - vX_[700];
+ vX_[3443] = 0 - vX_[595];
+ vX_[3393] = 0 - vX_[680];
+ vX_[861] = 0 - vX_[3442];
+ vX_[694] = 0 - vX_[700];
+ vX_[645] = 0 - vX_[595];
+ vX_[3315] = (vX_[3315] * vX_[1050] + vX_[3393] * vX_[691] + vX_[861] * vX_[624] + vX_[694] * vX_[471] + vX_[645] * vX_[629]) * 1 / vX_[578];
+ vX_[691] = 0 - vX_[3315];
+ vX_[1050] = (vX_[3346] * vX_[1050] + vX_[3281] * vX_[536] + vX_[674] * vX_[472] + vX_[699] * vX_[656] + vX_[3443] * vX_[590] + vX_[691] * vX_[598]) * 1 / vX_[581];
+ vX_[3393] = vX_[3279] * vX_[922] + vX_[3397] * vX_[692] + vX_[3451] * vX_[564] + vX_[3460] * vX_[519] + vX_[3393] * vX_[630];
+ vX_[3460] = 0 - vX_[3393];
+ vX_[861] = vX_[3278] * vX_[922] + vX_[3394] * vX_[692] + vX_[3452] * vX_[564] + vX_[3461] * vX_[519] + vX_[861] * vX_[630];
+ vX_[3461] = 0 - vX_[861];
+ vX_[694] = vX_[3277] * vX_[922] + vX_[655] * vX_[692] + vX_[3453] * vX_[564] + vX_[3462] * vX_[519] + vX_[694] * vX_[630];
+ vX_[3462] = 0 - vX_[694];
+ vX_[645] = vX_[3389] * vX_[922] + vX_[683] * vX_[692] + vX_[3454] * vX_[564] + vX_[3463] * vX_[519] + vX_[645] * vX_[630];
+ vX_[3463] = 0 - vX_[645];
+ vX_[922] = 0 - vX_[3242] * vX_[922] - vX_[3269] * vX_[692] - vX_[3322] * vX_[564] - vX_[3316] * vX_[519] - vX_[3315] * vX_[630];
+ vX_[692] = 0 - vX_[922];
+ vX_[3346] = (vX_[3346] * vX_[1052] + vX_[3460] * vX_[536] + vX_[3461] * vX_[472] + vX_[3462] * vX_[656] + vX_[3463] * vX_[590] + vX_[692] * vX_[598]) * 1 / vX_[581];
+ vX_[1052] = 0 - vX_[3358] * vX_[995] - vX_[1014] * vX_[686] - vX_[728] * vX_[582] - vX_[3465] * vX_[552] - vX_[1050] * vX_[586] - vX_[3346] * vX_[599];
+ vX_[536] = vX_[595] - vX_[1052];
+ vX_[472] = vX_[3315] + vX_[645];
+ vX_[656] = vX_[536] * vX_[449] + vX_[472] * vX_[447];
+ vX_[590] = vX_[922] - vX_[1052];
+ vX_[598] = vX_[590] * vX_[449];
+ vX_[581] = vX_[536] * vX_[435] + vX_[472] * vX_[449];
+ vX_[519] = vX_[590] * vX_[447];
+ vX_[630] = vX_[581] + vX_[519];
+ vX_[564] = vX_[656] * vX_[435] + vX_[598] * vX_[447] + vX_[630] * vX_[449];
+ vX_[3454] = 0 - vX_[564];
+ vX_[683] = vX_[1052] + vX_[581] * vX_[435] + vX_[598] * vX_[449];
+ vX_[3389] = 0 - vX_[683];
+ vX_[3453] = vX_[1052] + vX_[656] * vX_[449] + vX_[519] * vX_[447];
+ vX_[3461] = vX_[3276] * vX_[995] + vX_[550] * vX_[686] + vX_[3448] * vX_[582] + vX_[3457] * vX_[552] + vX_[674] * vX_[586] + vX_[3461] * vX_[599];
+ vX_[674] = vX_[728] + vX_[3461];
+ vX_[3457] = vX_[3316] + vX_[694] - vX_[674];
+ vX_[3460] = vX_[3357] * vX_[995] + vX_[644] * vX_[686] + vX_[3447] * vX_[582] + vX_[3456] * vX_[552] + vX_[3281] * vX_[586] + vX_[3460] * vX_[599];
+ vX_[3281] = vX_[1014] + vX_[3460];
+ vX_[3456] = 0 - (vX_[3237] + vX_[700]) + vX_[3281];
+ vX_[3447] = (vX_[3281] * vX_[435] + vX_[674] * vX_[449]) * -1;
+ vX_[644] = 0 - (vX_[3457] * vX_[449] + vX_[3456] * vX_[447]) + vX_[3447];
+ vX_[3357] = vX_[644] + vX_[683] * vX_[436];
+ vX_[3448] = 0 - vX_[3357];
+ vX_[550] = (vX_[3281] * vX_[449] + vX_[674] * vX_[447]) * -1;
+ vX_[3276] = vX_[3457] * vX_[435] + vX_[3456] * vX_[449] + vX_[550];
+ vX_[655] = 0 - vX_[3453];
+ vX_[3277] = vX_[3276] + vX_[564] * vX_[436] + vX_[655] * vX_[355];
+ vX_[3452] = vX_[3306] + vX_[3442];
+ vX_[3394] = vX_[3371] + vX_[680];
+ vX_[3278] = vX_[3452] * vX_[447] + vX_[3394] * vX_[449];
+ vX_[3451] = vX_[3269] + vX_[3393];
+ vX_[3397] = vX_[3322] + vX_[861];
+ vX_[3279] = vX_[3451] * vX_[449] + vX_[3397] * vX_[447];
+ vX_[624] = vX_[3278] * vX_[435] + vX_[3279] * vX_[449];
+ vX_[692] = vX_[3272] * vX_[995] + vX_[3446] * vX_[686] + vX_[3455] * vX_[582] + vX_[3464] * vX_[552] + vX_[691] * vX_[586] + vX_[692] * vX_[599];
+ vX_[691] = vX_[3346] + vX_[692];
+ vX_[3463] = vX_[3392] * vX_[995] + vX_[684] * vX_[686] + vX_[3450] * vX_[582] + vX_[3459] * vX_[552] + vX_[3443] * vX_[586] + vX_[3463] * vX_[599];
+ vX_[3443] = vX_[1050] + vX_[3463];
+ vX_[3459] = 0 - vX_[3443];
+ vX_[3450] = vX_[691] * vX_[449] + vX_[3459] * vX_[447];
+ vX_[684] = 0 - vX_[3450];
+ vX_[3392] = vX_[624] + vX_[684] * vX_[355] + vX_[3389] * vX_[451];
+ vX_[3464] = 0 - vX_[3392];
+ vX_[3455] = vX_[3452] * vX_[449] + vX_[3394] * vX_[435];
+ vX_[3446] = vX_[3451] * vX_[435] + vX_[3397] * vX_[449];
+ vX_[3272] = vX_[3455] * vX_[449] + vX_[3446] * vX_[447];
+ vX_[3443] = 0 - vX_[3443];
+ vX_[471] = vX_[691] * vX_[435] + vX_[3443] * vX_[449];
+ vX_[629] = 0 - vX_[471];
+ vX_[578] = vX_[3272] + vX_[629] * vX_[436] + vX_[3453] * vX_[451];
+ vX_[566] = vX_[3455] * vX_[435] + vX_[3446] * vX_[449];
+ vX_[705] = vX_[566] + vX_[3450] * vX_[436];
+ vX_[3363] = vX_[3278] * vX_[449] + vX_[3279] * vX_[447];
+ vX_[3440] = vX_[3363] + vX_[471] * vX_[355] + vX_[3454] * vX_[451];
+ vX_[3365] = 0 - vX_[705] + vX_[3440];
+ vX_[3466] = 0 - vX_[564];
+ vX_[3467] = 0 - vX_[683];
+ vX_[3389] = vX_[3454] * vX_[573] + vX_[3389] * vX_[518] + vX_[3453] * vX_[414] + vX_[3448] * vX_[452] + vX_[3277] * vX_[463] + vX_[3464] * vX_[443] + vX_[578] * vX_[437] + vX_[3365] * vX_[434] + vX_[564] * vX_[567] + vX_[3466] * vX_[570] + vX_[3467] * vX_[517] + vX_[3453] * vX_[521];
+ vX_[3454] = 0 - vX_[3422];
+ vX_[521] = vX_[3407] * -1 + vX_[3405] * -0.08;
+ vX_[517] = vX_[521] + vX_[3414] * -0.35;
+ vX_[3468] = vX_[517] * 0.881 + (0 - vX_[3421]) * 0.1104774 + vX_[3425] * 0.0004405;
+ vX_[3469] = vX_[3419] * 0.00185880198235362 + vX_[3418] * 0.880992588508842 + vX_[3421] * -8.81e-05;
+ vX_[3470] = vX_[3454] * vX_[706] + vX_[3468] * vX_[635] + vX_[3469] * x_in[26];
+ vX_[3426] = 0 - vX_[3423] + vX_[3424] - vX_[3426];
+ vX_[3424] = 0 - vX_[3468];
+ vX_[3423] = vX_[3419] * 0.414812462825713 + vX_[3418] * 0.00185880198235362 + vX_[3425] * 8.81e-05;
+ vX_[3471] = vX_[3426] * vX_[706] + vX_[3424] * vX_[352] - vX_[3423] * x_in[26];
+ vX_[3472] = 0 - vX_[3429];
+ vX_[3473] = vX_[521] * 3.146 + (0 - vX_[3414]) * 0.47422804 + vX_[3416] * -0.0825825;
+ vX_[3474] = vX_[3390] * vX_[411] + vX_[3388] * vX_[410] + vX_[3414] * vX_[387] + vX_[3416] * vX_[382];
+ vX_[3475] = vX_[3470] * vX_[357] + vX_[3471] * vX_[359] + vX_[3472] * vX_[628] + vX_[3473] * vX_[626] + vX_[3474] * x_in[25];
+ vX_[3431] = 0 - vX_[3430] + vX_[3431];
+ vX_[3430] = 0 - vX_[3473];
+ vX_[3476] = vX_[3390] * vX_[409] + vX_[3388] * vX_[411] + vX_[3414] * vX_[393] + vX_[3416] * vX_[392];
+ vX_[618] = vX_[3470] * vX_[618] + vX_[3471] * vX_[357] + vX_[3431] * vX_[628] + vX_[3430] * vX_[651] - vX_[3476] * x_in[25];
+ vX_[3477] = vX_[3407] * -3.44;
+ vX_[3478] = vX_[3405] * 0.1466472;
+ vX_[3479] = vX_[3412] * 0.5824264;
+ vX_[3480] = 0 - vX_[3477] + vX_[3478] - vX_[3479];
+ vX_[3481] = 0 - vX_[3436];
+ vX_[3482] = vX_[3275] * vX_[463] + vX_[3407] * vX_[437] + vX_[3270] * vX_[434] + vX_[3267] * vX_[567] + vX_[3412] * vX_[515];
+ vX_[3483] = vX_[3475] * vX_[668] + vX_[618] * vX_[383] + vX_[3480] * vX_[697] + vX_[3481] * vX_[704] - vX_[3482] * x_in[24];
+ vX_[3484] = vX_[595] + vX_[922] + vX_[1052] - vX_[683] - vX_[3453];
+ vX_[3485] = 0 - vX_[3484];
+ vX_[3447] = vX_[3447] + vX_[3485] * vX_[436];
+ vX_[550] = vX_[550] + vX_[3484] * vX_[355];
+ vX_[3486] = 0 - vX_[3277];
+ vX_[3487] = 0 - vX_[578];
+ vX_[3462] = vX_[3274] * vX_[995] + vX_[580] * vX_[686] + vX_[3449] * vX_[582] + vX_[3458] * vX_[552] + vX_[699] * vX_[586] + vX_[3462] * vX_[599];
+ vX_[699] = vX_[3465] + vX_[3462] + vX_[3394] + vX_[3397] - vX_[566] - vX_[3363];
+ vX_[3440] = vX_[699] - vX_[3440];
+ vX_[3458] = 0 - vX_[3450];
+ vX_[3449] = 0 - vX_[564];
+ vX_[580] = 0 - vX_[3453];
+ vX_[3274] = vX_[3439] - vX_[1016];
+ vX_[995] = vX_[703] - vX_[1016];
+ vX_[686] = vX_[3362] + vX_[3441];
+ vX_[552] = vX_[3307] + vX_[3445];
+ vX_[586] = vX_[3332] + vX_[3444];
+ vX_[599] = 0 - vX_[586];
+ vX_[582] = vX_[3274] * vX_[449] + vX_[686] * vX_[447];
+ vX_[3488] = vX_[995] * vX_[449];
+ vX_[3489] = vX_[3274] * vX_[435] + vX_[686] * vX_[449];
+ vX_[3490] = vX_[995] * vX_[447];
+ vX_[3491] = vX_[3489] + vX_[3490];
+ vX_[3492] = vX_[517] * 0.0004405 + vX_[3419] * -8.81e-05 + vX_[3425] * -0.000227999999999999;
+ vX_[3493] = vX_[517] * 0.1104774 + vX_[3418] * -8.81e-05 + (0 - vX_[3421]) * 0.025713;
+ vX_[3494] = (0 - vX_[3419]) * 0.0004405;
+ vX_[3495] = (0 - vX_[3418]) * 0.1104774;
+ vX_[3496] = vX_[3494] + vX_[3495];
+ vX_[3496] = vX_[3454] * vX_[606] + vX_[3426] * vX_[234] + vX_[3492] * vX_[352] + vX_[3493] * vX_[635] + vX_[3496] * vX_[706] + vX_[3496] * vX_[706];
+ vX_[3426] = vX_[521] * -0.0825825 + (0 - vX_[3273]) * 0.000102 + vX_[3414] * 0.007418 + vX_[3416] * 0.002735;
+ vX_[3454] = vX_[521] * 0.47422804 + vX_[3273] * 2.1e-05 + (0 - vX_[3414]) * 0.084376 + (0 - vX_[3416]) * 0.007418;
+ vX_[3497] = (0 - vX_[3390]) * -0.0825825;
+ vX_[3498] = (0 - vX_[3388]) * 0.47422804;
+ vX_[3499] = vX_[3414] * 0.000102;
+ vX_[3500] = (0 - vX_[3416]) * 2.1e-05;
+ vX_[3501] = vX_[3497] + vX_[3498] + vX_[3499] + vX_[3500];
+ vX_[3501] = vX_[3496] + vX_[3470] * vX_[612] + vX_[3471] * vX_[362] + vX_[3472] * vX_[653] + vX_[3431] * vX_[649] + vX_[3426] * vX_[651] + vX_[3454] * vX_[626] + vX_[3501] * vX_[628] + vX_[3501] * vX_[628];
+ vX_[3431] = vX_[3407] * 0.5824264 + (0 - vX_[3405]) * -0.022734 + vX_[3267] * -3.6e-05 + vX_[3412] * -0.133138;
+ vX_[3472] = vX_[3407] * 0.1466472 + vX_[3405] * 0.009466 + (0 - vX_[3267]) * -5.1e-05 + vX_[3412] * -0.022734;
+ vX_[612] = (0 - vX_[3275]) * 0.5824264;
+ vX_[3502] = (0 - vX_[3270]) * 0.1466472;
+ vX_[3503] = (0 - vX_[3405]) * -3.6e-05;
+ vX_[3504] = (0 - vX_[3412]) * -5.1e-05;
+ vX_[3505] = vX_[612] + vX_[3502] + vX_[3503] - vX_[3504];
+ vX_[431] = vX_[3275] * vX_[468] + vX_[3407] * vX_[515] + vX_[3270] * vX_[570] + vX_[3267] * vX_[569] + vX_[3412] * vX_[431];
+ vX_[3505] = vX_[3475] * vX_[662] + vX_[618] * vX_[401] + vX_[3501] * -1 + vX_[3434] * vX_[702] + vX_[3481] * vX_[690] + vX_[3431] * vX_[697] + vX_[3472] * vX_[664] + vX_[3505] * vX_[704] + vX_[3505] * vX_[704] + vX_[431] * x_in[24];
+ vX_[3420] = vX_[3419] * 0.1104774 + vX_[3418] * 0.0004405 + vX_[3420] * 0.025941;
+ vX_[3481] = (0 - vX_[517]) * -8.81e-05;
+ vX_[3495] = vX_[3481] + vX_[3495];
+ vX_[3425] = vX_[517] * 0.0004405 + vX_[3419] * 8.81e-05 + vX_[3425] * 0.000468;
+ vX_[3495] = vX_[3422] * vX_[731] + vX_[3424] * vX_[234] + vX_[3492] * vX_[706] + vX_[3420] * vX_[635] + vX_[3495] * vX_[352] + vX_[3495] * vX_[352] + vX_[3425] * x_in[26];
+ vX_[3481] = vX_[3481] + vX_[3494];
+ vX_[517] = vX_[517] * -0.1104774 + vX_[3418] * -8.81e-05 + vX_[3421] * 0.026409;
+ jac[971] = vX_[3423] * vX_[737] + vX_[3469] * vX_[606] + vX_[517] * vX_[709] + vX_[3425] * vX_[352] + vX_[3496];
+ vX_[517] = vX_[3427] * vX_[731] + vX_[3468] * vX_[606] + vX_[3493] * vX_[706] + vX_[3420] * vX_[352] + vX_[3481] * vX_[635] + vX_[3481] * vX_[635] - vX_[517] * x_in[26];
+ vX_[3481] = vX_[3390] * 0.47422804 + vX_[3388] * -0.0825825 + vX_[3273] * 0.081641 + (0 - vX_[3414]) * 2.1e-05 + vX_[3416] * 0.000102;
+ vX_[3420] = (0 - vX_[3273]) * 0.007418;
+ vX_[3500] = vX_[3498] + vX_[3420] - vX_[3500];
+ vX_[422] = vX_[521] * vX_[377] + vX_[3390] * vX_[392] + vX_[3388] * vX_[382] + vX_[3414] * vX_[426] + vX_[3416] * vX_[422];
+ vX_[3500] = vX_[3428] * -0.35 + vX_[3495] * vX_[357] + vX_[517] * vX_[359] + vX_[3429] * vX_[730] + vX_[3430] * vX_[649] + vX_[3426] * vX_[628] + vX_[3481] * vX_[626] + vX_[3500] * vX_[651] + vX_[3500] * vX_[651] + vX_[422] * x_in[25];
+ vX_[3420] = vX_[3497] - vX_[3420] - vX_[3499];
+ vX_[420] = vX_[521] * vX_[389] + vX_[3390] * vX_[393] + vX_[3388] * vX_[387] + vX_[3414] * vX_[420] + vX_[3416] * vX_[426];
+ jac[935] = vX_[3476] * vX_[739] + vX_[3474] * vX_[653] + vX_[420] * vX_[715] + vX_[422] * vX_[651] + vX_[3501];
+ vX_[420] = vX_[3495] * vX_[360] + vX_[517] * vX_[357] + vX_[3432] * vX_[730] + vX_[3473] * vX_[653] + vX_[3454] * vX_[628] + vX_[3481] * vX_[651] + vX_[3420] * vX_[626] + vX_[3420] * vX_[626] - vX_[420] * x_in[25];
+ vX_[3479] = vX_[3477] - vX_[3478] + vX_[3479];
+ vX_[3478] = vX_[3275] * 0.1466472 + vX_[3270] * 0.5824264 + vX_[3405] * -5.1e-05 + (0 - vX_[3267]) * -0.123672 + (0 - vX_[3412]) * -3.6e-05;
+ vX_[3477] = vX_[3267] * -0.022734;
+ vX_[3503] = vX_[612] - vX_[3503] - vX_[3477];
+ vX_[569] = vX_[3275] * vX_[405] + vX_[3407] * vX_[567] + vX_[3270] * vX_[516] + vX_[3267] * vX_[514] + vX_[3412] * vX_[569];
+ vX_[3503] = vX_[3500] * vX_[395] + vX_[420] * vX_[383] + vX_[3479] * vX_[702] + vX_[3436] * vX_[725] + vX_[3478] * vX_[697] + vX_[3472] * vX_[704] + vX_[3503] * vX_[664] + vX_[3503] * vX_[664] - vX_[569] * x_in[24];
+ vX_[3472] = 0 - vX_[3447];
+ vX_[3436] = 0 - vX_[550];
+ vX_[699] = 0 - vX_[699] + vX_[705];
+ vX_[705] = 0 - vX_[471];
+ vX_[586] = 0 - vX_[586];
+ jac[251] = 0 - (0 - (vX_[3317] * vX_[718] + vX_[3438] * x_in[22]) + (vX_[3125] * vX_[718] + vX_[3389] * vX_[449] + vX_[3438] * x_in[20]) * -0.3735 - (vX_[682] * vX_[949] + vX_[3483] * x_in[23]) + (vX_[3242] * vX_[949] + vX_[3483] * x_in[19]) * 0.3735 + (vX_[3358] * vX_[949] + (vX_[684] * vX_[518] + vX_[471] * vX_[573] + vX_[3484] * vX_[462] + vX_[655] * vX_[464] + vX_[3447] * vX_[434] + vX_[550] * vX_[443] + vX_[3486] * vX_[446] + vX_[3487] * vX_[463] + vX_[3440] * vX_[452] + vX_[3458] * vX_[516] + vX_[471] * vX_[570] + vX_[3449] * vX_[405] + vX_[580] * vX_[523]) * -1 + vX_[3483] * x_in[18]) * -0.207 - (vX_[3125] * vX_[688] + vX_[3242] * vX_[747] + vX_[3274] * vX_[681] + vX_[995] * vX_[679] + vX_[686] * vX_[677] + vX_[552] * vX_[654] + vX_[599] * vX_[452] + vX_[582] * vX_[658] + vX_[3488] * vX_[657] + vX_[3491] * vX_[434] + vX_[3452] * vX_[643] + vX_[3451] * vX_[623] + vX_[3281] * vX_[470] + vX_[674] * vX_[460] + vX_[3394] * vX_[642] + vX_[3397] * vX_[620] + vX_[3455] * vX_[619] + vX_[3278] * vX_[621] + vX_[3446] * vX_[572] + vX_[3279] * vX_[622] + vX_[3457] * vX_[459] + vX_[3456] * vX_[469] + vX_[536] * vX_[579] + vX_[590] * vX_[577] + vX_[472] * vX_[575] + vX_[691] * vX_[596] + vX_[3443] * vX_[597] + vX_[656] * vX_[524] + vX_[598] * vX_[520] + vX_[630] * vX_[574] + vX_[3389] * vX_[450] + vX_[3505] * x_in[19] + vX_[3503] * x_in[20])) * vX_[1083] + (vX_[682] * vX_[718] + vX_[3125] * vX_[747] + vX_[3274] * vX_[677] + vX_[552] * vX_[452] + vX_[3489] * vX_[657] + vX_[582] * vX_[434] + vX_[3451] * vX_[620] + vX_[3281] * vX_[460] + vX_[3394] * vX_[643] + vX_[3455] * vX_[572] + vX_[3278] * vX_[622] + vX_[3457] * vX_[469] + vX_[536] * vX_[575] + vX_[691] * vX_[597] + vX_[581] * vX_[520] + vX_[656] * vX_[574] + (vX_[3450] * vX_[571] + vX_[629] * vX_[414] + vX_[564] * vX_[464] + vX_[3485] * vX_[438] + vX_[683] * vX_[453] + vX_[3472] * vX_[437] + vX_[3357] * vX_[446] + vX_[3436] * vX_[434] + vX_[3392] * vX_[452] + vX_[699] * vX_[463] + vX_[3450] * vX_[567] + vX_[705] * vX_[515] + vX_[564] * vX_[468] + vX_[683] * vX_[512]) * 0.207 + vX_[3438] * x_in[23] + vX_[3505] * x_in[20] + (vX_[3242] * vX_[718] + vX_[3389] * vX_[447] + vX_[3438] * x_in[19]) * -0.3735 + (vX_[3358] * vX_[718] + vX_[3438] * x_in[18]) * 0.207 - (vX_[3317] * vX_[949] + vX_[3483] * x_in[22]) + (vX_[3125] * vX_[949] + vX_[3483] * x_in[20]) * -0.3735 - (vX_[3242] * vX_[688] + vX_[995] * vX_[678] + vX_[686] * vX_[681] + vX_[586] * vX_[654] + vX_[3488] * vX_[434] + vX_[3490] * vX_[658] + vX_[3452] * vX_[642] + vX_[674] * vX_[470] + vX_[3397] * vX_[623] + vX_[3446] * vX_[619] + vX_[3279] * vX_[621] + vX_[3456] * vX_[459] + vX_[590] * vX_[576] + vX_[472] * vX_[579] + vX_[3459] * vX_[596] + vX_[598] * vX_[574] + vX_[519] * vX_[524] + vX_[3389] * vX_[448] + vX_[3503] * x_in[19])) * vX_[1093];
+ vX_[1107] = vX_[713] + vX_[1107] * vX_[435] + vX_[1106] * vX_[449];
+ vX_[1108] = vX_[713] + vX_[1105] * vX_[449] + vX_[1108] * vX_[447];
+ vX_[1098] = vX_[698] + vX_[964] + vX_[713] - vX_[1107] - vX_[1108] + vX_[756] * vX_[436] + vX_[1098] * vX_[355];
+ vX_[1108] = vX_[1108] + vX_[1021] * vX_[355] + vX_[1048] * vX_[451] + vX_[762] * vX_[726];
+ vX_[1021] = vX_[1098] - vX_[1108];
+ vX_[1104] = vX_[1102] * vX_[435] + vX_[1104] * vX_[449] + vX_[1031] * vX_[451] + vX_[759] * vX_[436] + vX_[1073] * vX_[355] + vX_[750] * vX_[726];
+ vX_[1073] = vX_[1021] * vX_[383] + vX_[1104] * vX_[395];
+ vX_[759] = vX_[1021] * vX_[356] + vX_[1104] * vX_[383];
+ vX_[1032] = vX_[1020] + vX_[1032] * vX_[355] + vX_[1055] * vX_[436] * 2. + vX_[750] * vX_[720];
+ vX_[1020] = 0 - vX_[1104];
+ vX_[785] = 0 - (vX_[1105] * vX_[435] + vX_[1106] * vX_[447] + vX_[1109] * vX_[449] + vX_[1030] * vX_[355] + vX_[785] * vX_[436] + vX_[1074] * vX_[451] + vX_[772] * vX_[726] + vX_[762] * vX_[723]);
+ vX_[1109] = 0 - vX_[1108];
+ vX_[1042] = vX_[1066] + vX_[1042] * vX_[355] + vX_[1076] * vX_[451] * 2. + vX_[762] * vX_[720] + vX_[763] * vX_[726];
+ vX_[1076] = 0 - vX_[1042];
+ vX_[1075] = vX_[1072] + vX_[1067] * vX_[355] + vX_[1075] * vX_[451] + vX_[762] * vX_[721] + vX_[777] * vX_[726];
+ vX_[1072] = 0 - vX_[1075];
+ vX_[1067] = (vX_[1109] * vX_[396] + vX_[1076] * vX_[458] + vX_[1072] * vX_[467]) * 1 / vX_[432];
+ vX_[1109] = vX_[774] * vX_[710] + vX_[1020] * vX_[445] + vX_[785] * vX_[433] + vX_[1109] * vX_[461] + vX_[1067];
+ vX_[1022] = vX_[757] + vX_[1053] * vX_[436] + vX_[1022] * vX_[355] * 2. + vX_[750] * vX_[721];
+ vX_[1098] = 0 - vX_[1098];
+ vX_[1103] = 0 - (0 - (vX_[1102] * vX_[449] + vX_[1103] * vX_[447]) + vX_[1059] * vX_[451] + vX_[1099] * vX_[355] + vX_[980] * vX_[436] + vX_[750] * vX_[723]);
+ vX_[980] = 0 - vX_[1032];
+ vX_[1102] = 0 - vX_[1022];
+ vX_[1020] = (vX_[1098] * vX_[444] + vX_[1103] * vX_[406] + vX_[1020] * vX_[396] + vX_[980] * vX_[458] + vX_[1102] * vX_[467]) * 1 / vX_[432];
+ vX_[1098] = vX_[771] * vX_[710] + vX_[1098] * vX_[445] + vX_[1020];
+ vX_[1099] = vX_[1109] * vX_[395] + vX_[1098] * vX_[383];
+ vX_[1059] = vX_[1109] * vX_[383] + vX_[1098] * vX_[356];
+ vX_[757] = vX_[1022] * vX_[383] + vX_[1075] * vX_[395];
+ vX_[1066] = vX_[1022] * vX_[356] + vX_[1075] * vX_[383];
+ vX_[1071] = vX_[760] + vX_[1071] * vX_[436] + vX_[1057] * vX_[451] * 2. + vX_[772] * vX_[721] + vX_[777] * vX_[723];
+ vX_[760] = vX_[1042] - vX_[1071];
+ vX_[1107] = 0 - (vX_[1107] + vX_[801] * vX_[436] + vX_[1069] * vX_[451] + vX_[772] * vX_[723]);
+ vX_[1070] = 0 - (vX_[1070] + vX_[1033] * vX_[436] + vX_[1053] * vX_[451] + vX_[772] * vX_[720] + vX_[763] * vX_[723]);
+ vX_[1071] = 0 - vX_[1071];
+ vX_[785] = (vX_[1107] * vX_[406] + vX_[785] * vX_[396] + vX_[1070] * vX_[458] + vX_[1071] * vX_[467]) * 1 / vX_[432];
+ vX_[1107] = 0 - vX_[1032] + vX_[773] * vX_[710] + vX_[1103] * vX_[445] + vX_[1107] * vX_[433] + vX_[785];
+ vX_[1057] = vX_[1057] + vX_[777] * vX_[721];
+ vX_[1055] = vX_[1055] + vX_[763] * vX_[720];
+ vX_[1103] = 0 - vX_[1055];
+ vX_[1053] = vX_[1053] + vX_[763] * vX_[721] + vX_[777] * vX_[720];
+ vX_[1033] = 0 - vX_[1053];
+ vX_[772] = (vX_[1103] * vX_[458] + vX_[1033] * vX_[467]) * 1 / vX_[432];
+ vX_[801] = 0 - vX_[1057];
+ vX_[1069] = vX_[801] * vX_[467] * 1 / vX_[432];
+ vX_[785] = 0 - vX_[771] * vX_[689] - vX_[773] * vX_[707] - vX_[774] * vX_[493] - vX_[775] * vX_[971] + vX_[775] * vX_[710] - vX_[776] * vX_[744] - vX_[778] * vX_[729] - vX_[1020] * vX_[445] - vX_[785] * vX_[433] - vX_[1067] * vX_[461] - vX_[772] * vX_[513] - vX_[1069] * vX_[522];
+ vX_[1020] = 0 - vX_[1057] + vX_[785];
+ vX_[1069] = vX_[778] * vX_[710] + vX_[1102] * vX_[445] + vX_[1071] * vX_[433] + vX_[1072] * vX_[461] + vX_[1033] * vX_[513] + vX_[801] * vX_[522] + vX_[1069];
+ vX_[772] = vX_[776] * vX_[710] + vX_[980] * vX_[445] + vX_[1070] * vX_[433] + vX_[1076] * vX_[461] + vX_[1103] * vX_[513] + vX_[772];
+ vX_[1103] = vX_[1020] * vX_[383] + vX_[1069] * vX_[395];
+ vX_[1070] = vX_[1020] * vX_[356] + vX_[1069] * vX_[383];
+ vX_[980] = vX_[1103] * vX_[356] + vX_[1070] * vX_[383];
+ vX_[1076] = vX_[1057] + vX_[1103] * vX_[383];
+ vX_[776] = vX_[1057] + vX_[1070] * vX_[356];
+ vX_[785] = vX_[1055] + vX_[1057] + vX_[785] - vX_[1076] - vX_[776];
+ vX_[1055] = 0 - vX_[785];
+ vX_[1057] = (vX_[1032] * vX_[383] + vX_[1042] * vX_[395]) * -1;
+ vX_[801] = vX_[1057] + vX_[1055] * vX_[397];
+ vX_[1033] = 0 - vX_[801];
+ vX_[1057] = 0 - (vX_[760] * vX_[356] + vX_[1107] * vX_[383]) + vX_[1057];
+ vX_[1071] = (vX_[1032] * vX_[356] + vX_[1042] * vX_[383]) * -1;
+ vX_[1102] = vX_[1071] + vX_[785] * vX_[402];
+ vX_[1072] = 0 - vX_[1102];
+ vX_[778] = 0 - (vX_[1053] * vX_[356] + vX_[772] * vX_[383]) + vX_[1053] * vX_[395] * -1 * 2.;
+ vX_[1067] = 0 - vX_[778];
+ vX_[775] = vX_[1053] * vX_[383] + vX_[772] * vX_[395] + vX_[1053] * vX_[383] * -1 * 2.;
+ vX_[774] = 0 - vX_[775];
+ vX_[773] = sin(x_in[7]);
+ vX_[771] = 0 - vX_[776];
+ vX_[1071] = vX_[760] * vX_[383] + vX_[1107] * vX_[395] + vX_[1071];
+ vX_[1106] = 0 - vX_[980];
+ vX_[1105] = 0 - vX_[776];
+ vX_[1030] = cos(x_in[7]);
+ jac[270] = 0 - (vX_[750] * vX_[743] + vX_[762] * vX_[738] + vX_[770] * vX_[714] + vX_[777] * vX_[638] + vX_[1021] * vX_[442] + vX_[1104] * vX_[440] + vX_[1073] * vX_[441] + vX_[759] * vX_[411] + vX_[1032] * vX_[399] + vX_[1109] * vX_[388] + vX_[1022] * vX_[465] + vX_[1042] * vX_[454] + vX_[1098] * vX_[394] + vX_[1075] * vX_[466] + vX_[1099] * vX_[393] + vX_[1059] * vX_[387] + vX_[757] * vX_[392] + vX_[1066] * vX_[382] + vX_[760] * vX_[404] + vX_[1107] * vX_[400] + vX_[1020] * vX_[430] + vX_[1069] * vX_[428] + vX_[1053] * vX_[568] + vX_[1053] * vX_[455] + vX_[772] * vX_[457] + vX_[1103] * vX_[379] + vX_[1070] * vX_[427] + (vX_[980] * vX_[403] + vX_[1055] * vX_[413] + vX_[1076] * vX_[398] + vX_[1033] * vX_[409] + (vX_[1057] + vX_[1076] * vX_[397]) * 4.027 + vX_[1072] * vX_[411] + vX_[1067] * vX_[393] + vX_[774] * vX_[392] + vX_[980] * vX_[377] + vX_[1076] * vX_[429]) * -0.08 + vX_[1086] * vX_[702] + vX_[1088] * vX_[690] + vX_[1118] * vX_[697] + vX_[1117] * vX_[664] + (vX_[763] * vX_[743] + vX_[1086] * vX_[704]) * -0.08) * vX_[773] + (vX_[750] * vX_[738] + vX_[770] * vX_[638] + vX_[1021] * vX_[440] + vX_[1073] * vX_[411] + vX_[759] * vX_[439] + vX_[1032] * vX_[454] + vX_[1022] * vX_[466] + vX_[1098] * vX_[388] + vX_[1099] * vX_[392] + vX_[1059] * vX_[382] + vX_[760] * vX_[400] + vX_[1020] * vX_[428] + vX_[1053] * vX_[457] + vX_[1103] * vX_[427] + vX_[1070] * vX_[424] + vX_[1088] * vX_[702] + vX_[1117] * vX_[697] - (vX_[762] * vX_[743] + vX_[1086] * vX_[690]) + (vX_[763] * vX_[738] + (vX_[785] * vX_[412] + vX_[771] * vX_[403] + vX_[801] * vX_[411] + vX_[1102] * vX_[410] + (0 - (vX_[1071] + vX_[980] * vX_[397] + vX_[771] * vX_[402])) * 4.027 + vX_[778] * vX_[387] + vX_[775] * vX_[382] + vX_[1106] * vX_[389] + vX_[1105] * vX_[423]) * -1 + vX_[1088] * vX_[704]) * -0.08 - (vX_[777] * vX_[714] + vX_[1104] * vX_[442] + vX_[1109] * vX_[394] + vX_[1042] * vX_[399] + vX_[1075] * vX_[465] + vX_[757] * vX_[393] + vX_[1066] * vX_[387] + vX_[1107] * vX_[404] + vX_[1069] * vX_[430] + vX_[1053] * vX_[456] + vX_[772] * vX_[455] + vX_[1118] * vX_[664])) * vX_[1030];
+ vX_[1240] = vX_[1043] + vX_[1240] * vX_[435] + vX_[1239] * vX_[449];
+ vX_[1241] = vX_[1043] + vX_[1238] * vX_[449] + vX_[1241] * vX_[447];
+ vX_[1231] = vX_[1138] + vX_[1145] + vX_[1043] - vX_[1240] - vX_[1241] + vX_[1041] * vX_[436] + vX_[1231] * vX_[355];
+ vX_[1241] = vX_[1241] + vX_[1152] * vX_[355] + vX_[1182] * vX_[451] + vX_[1025] * vX_[726];
+ vX_[1152] = vX_[1231] - vX_[1241];
+ vX_[1237] = vX_[1235] * vX_[435] + vX_[1237] * vX_[449] + vX_[1163] * vX_[451] + vX_[1024] * vX_[436] + vX_[1206] * vX_[355] + vX_[1062] * vX_[726];
+ vX_[1206] = vX_[1152] * vX_[383] + vX_[1237] * vX_[395];
+ vX_[1024] = vX_[1152] * vX_[356] + vX_[1237] * vX_[383];
+ vX_[1164] = vX_[1151] + vX_[1164] * vX_[355] + vX_[1188] * vX_[436] * 2. + vX_[1062] * vX_[720];
+ vX_[1151] = 0 - vX_[1237];
+ vX_[1135] = 0 - (vX_[1238] * vX_[435] + vX_[1239] * vX_[447] + vX_[1242] * vX_[449] + vX_[1162] * vX_[355] + vX_[1135] * vX_[436] + vX_[1207] * vX_[451] + vX_[1085] * vX_[726] + vX_[1025] * vX_[723]);
+ vX_[1242] = 0 - vX_[1241];
+ vX_[1175] = vX_[1199] + vX_[1175] * vX_[355] + vX_[1209] * vX_[451] * 2. + vX_[1025] * vX_[720] + vX_[1035] * vX_[726];
+ vX_[1209] = 0 - vX_[1175];
+ vX_[1208] = vX_[1205] + vX_[1200] * vX_[355] + vX_[1208] * vX_[451] + vX_[1025] * vX_[721] + vX_[793] * vX_[726];
+ vX_[1205] = 0 - vX_[1208];
+ vX_[1200] = (vX_[1242] * vX_[396] + vX_[1209] * vX_[458] + vX_[1205] * vX_[467]) * 1 / vX_[432];
+ vX_[1242] = vX_[791] * vX_[710] + vX_[1151] * vX_[445] + vX_[1135] * vX_[433] + vX_[1242] * vX_[461] + vX_[1200];
+ vX_[1153] = vX_[898] + vX_[1186] * vX_[436] + vX_[1153] * vX_[355] * 2. + vX_[1062] * vX_[721];
+ vX_[1231] = 0 - vX_[1231];
+ vX_[1236] = 0 - (0 - (vX_[1235] * vX_[449] + vX_[1236] * vX_[447]) + vX_[1192] * vX_[451] + vX_[1232] * vX_[355] + vX_[1149] * vX_[436] + vX_[1062] * vX_[723]);
+ vX_[1149] = 0 - vX_[1164];
+ vX_[1235] = 0 - vX_[1153];
+ vX_[1151] = (vX_[1231] * vX_[444] + vX_[1236] * vX_[406] + vX_[1151] * vX_[396] + vX_[1149] * vX_[458] + vX_[1235] * vX_[467]) * 1 / vX_[432];
+ vX_[1231] = vX_[1087] * vX_[710] + vX_[1231] * vX_[445] + vX_[1151];
+ vX_[1232] = vX_[1242] * vX_[395] + vX_[1231] * vX_[383];
+ vX_[1192] = vX_[1242] * vX_[383] + vX_[1231] * vX_[356];
+ vX_[898] = vX_[1153] * vX_[383] + vX_[1208] * vX_[395];
+ vX_[1199] = vX_[1153] * vX_[356] + vX_[1208] * vX_[383];
+ vX_[1204] = vX_[1034] + vX_[1204] * vX_[436] + vX_[1190] * vX_[451] * 2. + vX_[1085] * vX_[721] + vX_[793] * vX_[723];
+ vX_[1034] = vX_[1175] - vX_[1204];
+ vX_[1240] = 0 - (vX_[1240] + vX_[1216] * vX_[436] + vX_[1202] * vX_[451] + vX_[1085] * vX_[723]);
+ vX_[1203] = 0 - (vX_[1203] + vX_[1165] * vX_[436] + vX_[1186] * vX_[451] + vX_[1085] * vX_[720] + vX_[1035] * vX_[723]);
+ vX_[1204] = 0 - vX_[1204];
+ vX_[1135] = (vX_[1240] * vX_[406] + vX_[1135] * vX_[396] + vX_[1203] * vX_[458] + vX_[1204] * vX_[467]) * 1 / vX_[432];
+ vX_[1240] = 0 - vX_[1164] + vX_[1115] * vX_[710] + vX_[1236] * vX_[445] + vX_[1240] * vX_[433] + vX_[1135];
+ vX_[1190] = vX_[1190] + vX_[793] * vX_[721];
+ vX_[1188] = vX_[1188] + vX_[1035] * vX_[720];
+ vX_[1236] = 0 - vX_[1188];
+ vX_[1186] = vX_[1186] + vX_[1035] * vX_[721] + vX_[793] * vX_[720];
+ vX_[1165] = 0 - vX_[1186];
+ vX_[1085] = (vX_[1236] * vX_[458] + vX_[1165] * vX_[467]) * 1 / vX_[432];
+ vX_[1216] = 0 - vX_[1190];
+ vX_[1202] = vX_[1216] * vX_[467] * 1 / vX_[432];
+ vX_[1135] = 0 - vX_[1087] * vX_[689] - vX_[1115] * vX_[707] - vX_[791] * vX_[493] - vX_[795] * vX_[971] + vX_[795] * vX_[710] - vX_[794] * vX_[744] - vX_[1111] * vX_[729] - vX_[1151] * vX_[445] - vX_[1135] * vX_[433] - vX_[1200] * vX_[461] - vX_[1085] * vX_[513] - vX_[1202] * vX_[522];
+ vX_[1151] = 0 - vX_[1190] + vX_[1135];
+ vX_[1202] = vX_[1111] * vX_[710] + vX_[1235] * vX_[445] + vX_[1204] * vX_[433] + vX_[1205] * vX_[461] + vX_[1165] * vX_[513] + vX_[1216] * vX_[522] + vX_[1202];
+ vX_[1085] = vX_[794] * vX_[710] + vX_[1149] * vX_[445] + vX_[1203] * vX_[433] + vX_[1209] * vX_[461] + vX_[1236] * vX_[513] + vX_[1085];
+ vX_[1236] = vX_[1151] * vX_[383] + vX_[1202] * vX_[395];
+ vX_[1203] = vX_[1151] * vX_[356] + vX_[1202] * vX_[383];
+ vX_[1149] = vX_[1236] * vX_[356] + vX_[1203] * vX_[383];
+ vX_[1209] = vX_[1190] + vX_[1236] * vX_[383];
+ vX_[794] = vX_[1190] + vX_[1203] * vX_[356];
+ vX_[1135] = vX_[1188] + vX_[1190] + vX_[1135] - vX_[1209] - vX_[794];
+ vX_[1188] = 0 - vX_[1135];
+ vX_[1190] = (vX_[1164] * vX_[383] + vX_[1175] * vX_[395]) * -1;
+ vX_[1216] = vX_[1190] + vX_[1188] * vX_[397];
+ vX_[1165] = 0 - vX_[1216];
+ vX_[1190] = 0 - (vX_[1034] * vX_[356] + vX_[1240] * vX_[383]) + vX_[1190];
+ vX_[1204] = (vX_[1164] * vX_[356] + vX_[1175] * vX_[383]) * -1;
+ vX_[1235] = vX_[1204] + vX_[1135] * vX_[402];
+ vX_[1205] = 0 - vX_[1235];
+ vX_[1111] = 0 - (vX_[1186] * vX_[356] + vX_[1085] * vX_[383]) + vX_[1186] * vX_[395] * -1 * 2.;
+ vX_[1200] = 0 - vX_[1111];
+ vX_[795] = vX_[1186] * vX_[383] + vX_[1085] * vX_[395] + vX_[1186] * vX_[383] * -1 * 2.;
+ vX_[791] = 0 - vX_[795];
+ vX_[1115] = 0 - vX_[794];
+ vX_[1204] = vX_[1034] * vX_[383] + vX_[1240] * vX_[395] + vX_[1204];
+ vX_[1087] = 0 - vX_[1149];
+ vX_[1239] = 0 - vX_[794];
+ jac[271] = 0 - (vX_[1062] * vX_[743] + vX_[1025] * vX_[738] + vX_[1119] * vX_[714] + vX_[793] * vX_[638] + vX_[1152] * vX_[442] + vX_[1237] * vX_[440] + vX_[1206] * vX_[441] + vX_[1024] * vX_[411] + vX_[1164] * vX_[399] + vX_[1242] * vX_[388] + vX_[1153] * vX_[465] + vX_[1175] * vX_[454] + vX_[1231] * vX_[394] + vX_[1208] * vX_[466] + vX_[1232] * vX_[393] + vX_[1192] * vX_[387] + vX_[898] * vX_[392] + vX_[1199] * vX_[382] + vX_[1034] * vX_[404] + vX_[1240] * vX_[400] + vX_[1151] * vX_[430] + vX_[1202] * vX_[428] + vX_[1186] * vX_[568] + vX_[1186] * vX_[455] + vX_[1085] * vX_[457] + vX_[1236] * vX_[379] + vX_[1203] * vX_[427] + (vX_[1149] * vX_[403] + vX_[1188] * vX_[413] + vX_[1209] * vX_[398] + vX_[1165] * vX_[409] + (vX_[1190] + vX_[1209] * vX_[397]) * 4.027 + vX_[1205] * vX_[411] + vX_[1200] * vX_[393] + vX_[791] * vX_[392] + vX_[1149] * vX_[377] + vX_[1209] * vX_[429]) * -0.08 + vX_[1219] * vX_[702] + vX_[1221] * vX_[690] + vX_[1251] * vX_[697] + vX_[1250] * vX_[664] + (vX_[1035] * vX_[743] + vX_[1219] * vX_[704]) * -0.08) * vX_[773] + (vX_[1062] * vX_[738] + vX_[1119] * vX_[638] + vX_[1152] * vX_[440] + vX_[1206] * vX_[411] + vX_[1024] * vX_[439] + vX_[1164] * vX_[454] + vX_[1153] * vX_[466] + vX_[1231] * vX_[388] + vX_[1232] * vX_[392] + vX_[1192] * vX_[382] + vX_[1034] * vX_[400] + vX_[1151] * vX_[428] + vX_[1186] * vX_[457] + vX_[1236] * vX_[427] + vX_[1203] * vX_[424] + vX_[1221] * vX_[702] + vX_[1250] * vX_[697] - (vX_[1025] * vX_[743] + vX_[1219] * vX_[690]) + (vX_[1035] * vX_[738] + (vX_[1135] * vX_[412] + vX_[1115] * vX_[403] + vX_[1216] * vX_[411] + vX_[1235] * vX_[410] + (0 - (vX_[1204] + vX_[1149] * vX_[397] + vX_[1115] * vX_[402])) * 4.027 + vX_[1111] * vX_[387] + vX_[795] * vX_[382] + vX_[1087] * vX_[389] + vX_[1239] * vX_[423]) * -1 + vX_[1221] * vX_[704]) * -0.08 - (vX_[793] * vX_[714] + vX_[1237] * vX_[442] + vX_[1242] * vX_[394] + vX_[1175] * vX_[399] + vX_[1208] * vX_[465] + vX_[898] * vX_[393] + vX_[1199] * vX_[387] + vX_[1240] * vX_[404] + vX_[1202] * vX_[430] + vX_[1186] * vX_[456] + vX_[1085] * vX_[455] + vX_[1251] * vX_[664])) * vX_[1030];
+ vX_[1371] = vX_[1144] + vX_[1371] * vX_[435] + vX_[1370] * vX_[449];
+ vX_[1372] = vX_[1144] + vX_[1369] * vX_[449] + vX_[1372] * vX_[447];
+ vX_[1362] = vX_[1266] + vX_[1274] + vX_[1144] - vX_[1371] - vX_[1372] + vX_[1191] * vX_[436] + vX_[1362] * vX_[355];
+ vX_[1372] = vX_[1372] + vX_[1283] * vX_[355] + vX_[1313] * vX_[451] + vX_[1155] * vX_[726];
+ vX_[1283] = vX_[1362] - vX_[1372];
+ vX_[1368] = vX_[1366] * vX_[435] + vX_[1368] * vX_[449] + vX_[1294] * vX_[451] + vX_[1174] * vX_[436] + vX_[1337] * vX_[355] + vX_[1198] * vX_[726];
+ vX_[1337] = vX_[1283] * vX_[383] + vX_[1368] * vX_[395];
+ vX_[1174] = vX_[1283] * vX_[356] + vX_[1368] * vX_[383];
+ vX_[1295] = vX_[1282] + vX_[1295] * vX_[355] + vX_[1319] * vX_[436] * 2. + vX_[1198] * vX_[720];
+ vX_[1282] = 0 - vX_[1368];
+ vX_[1263] = 0 - (vX_[1369] * vX_[435] + vX_[1370] * vX_[447] + vX_[1373] * vX_[449] + vX_[1293] * vX_[355] + vX_[1263] * vX_[436] + vX_[1338] * vX_[451] + vX_[1217] * vX_[726] + vX_[1155] * vX_[723]);
+ vX_[1373] = 0 - vX_[1372];
+ vX_[1306] = vX_[1330] + vX_[1306] * vX_[355] + vX_[1340] * vX_[451] * 2. + vX_[1155] * vX_[720] + vX_[1166] * vX_[726];
+ vX_[1340] = 0 - vX_[1306];
+ vX_[1339] = vX_[1336] + vX_[1331] * vX_[355] + vX_[1339] * vX_[451] + vX_[1155] * vX_[721] + vX_[1218] * vX_[726];
+ vX_[1336] = 0 - vX_[1339];
+ vX_[1331] = (vX_[1373] * vX_[396] + vX_[1340] * vX_[458] + vX_[1336] * vX_[467]) * 1 / vX_[432];
+ vX_[1373] = vX_[1249] * vX_[710] + vX_[1282] * vX_[445] + vX_[1263] * vX_[433] + vX_[1373] * vX_[461] + vX_[1331];
+ vX_[1284] = vX_[1173] + vX_[1317] * vX_[436] + vX_[1284] * vX_[355] * 2. + vX_[1198] * vX_[721];
+ vX_[1362] = 0 - vX_[1362];
+ vX_[1367] = 0 - (0 - (vX_[1366] * vX_[449] + vX_[1367] * vX_[447]) + vX_[1323] * vX_[451] + vX_[1363] * vX_[355] + vX_[1278] * vX_[436] + vX_[1198] * vX_[723]);
+ vX_[1278] = 0 - vX_[1295];
+ vX_[1366] = 0 - vX_[1284];
+ vX_[1282] = (vX_[1362] * vX_[444] + vX_[1367] * vX_[406] + vX_[1282] * vX_[396] + vX_[1278] * vX_[458] + vX_[1366] * vX_[467]) * 1 / vX_[432];
+ vX_[1362] = vX_[1187] * vX_[710] + vX_[1362] * vX_[445] + vX_[1282];
+ vX_[1363] = vX_[1373] * vX_[395] + vX_[1362] * vX_[383];
+ vX_[1323] = vX_[1373] * vX_[383] + vX_[1362] * vX_[356];
+ vX_[1173] = vX_[1284] * vX_[383] + vX_[1339] * vX_[395];
+ vX_[1330] = vX_[1284] * vX_[356] + vX_[1339] * vX_[383];
+ vX_[1335] = vX_[1146] + vX_[1335] * vX_[436] + vX_[1321] * vX_[451] * 2. + vX_[1217] * vX_[721] + vX_[1218] * vX_[723];
+ vX_[1146] = vX_[1306] - vX_[1335];
+ vX_[1371] = 0 - (vX_[1371] + vX_[1347] * vX_[436] + vX_[1333] * vX_[451] + vX_[1217] * vX_[723]);
+ vX_[1334] = 0 - (vX_[1334] + vX_[1296] * vX_[436] + vX_[1317] * vX_[451] + vX_[1217] * vX_[720] + vX_[1166] * vX_[723]);
+ vX_[1335] = 0 - vX_[1335];
+ vX_[1263] = (vX_[1371] * vX_[406] + vX_[1263] * vX_[396] + vX_[1334] * vX_[458] + vX_[1335] * vX_[467]) * 1 / vX_[432];
+ vX_[1371] = 0 - vX_[1295] + vX_[1131] * vX_[710] + vX_[1367] * vX_[445] + vX_[1371] * vX_[433] + vX_[1263];
+ vX_[1321] = vX_[1321] + vX_[1218] * vX_[721];
+ vX_[1319] = vX_[1319] + vX_[1166] * vX_[720];
+ vX_[1367] = 0 - vX_[1319];
+ vX_[1317] = vX_[1317] + vX_[1166] * vX_[721] + vX_[1218] * vX_[720];
+ vX_[1296] = 0 - vX_[1317];
+ vX_[1217] = (vX_[1367] * vX_[458] + vX_[1296] * vX_[467]) * 1 / vX_[432];
+ vX_[1347] = 0 - vX_[1321];
+ vX_[1333] = vX_[1347] * vX_[467] * 1 / vX_[432];
+ vX_[1263] = 0 - vX_[1187] * vX_[689] - vX_[1131] * vX_[707] - vX_[1249] * vX_[493] - vX_[1252] * vX_[971] + vX_[1252] * vX_[710] - vX_[1220] * vX_[744] - vX_[1248] * vX_[729] - vX_[1282] * vX_[445] - vX_[1263] * vX_[433] - vX_[1331] * vX_[461] - vX_[1217] * vX_[513] - vX_[1333] * vX_[522];
+ vX_[1282] = 0 - vX_[1321] + vX_[1263];
+ vX_[1333] = vX_[1248] * vX_[710] + vX_[1366] * vX_[445] + vX_[1335] * vX_[433] + vX_[1336] * vX_[461] + vX_[1296] * vX_[513] + vX_[1347] * vX_[522] + vX_[1333];
+ vX_[1217] = vX_[1220] * vX_[710] + vX_[1278] * vX_[445] + vX_[1334] * vX_[433] + vX_[1340] * vX_[461] + vX_[1367] * vX_[513] + vX_[1217];
+ vX_[1367] = vX_[1282] * vX_[383] + vX_[1333] * vX_[395];
+ vX_[1334] = vX_[1282] * vX_[356] + vX_[1333] * vX_[383];
+ vX_[1278] = vX_[1367] * vX_[356] + vX_[1334] * vX_[383];
+ vX_[1340] = vX_[1321] + vX_[1367] * vX_[383];
+ vX_[1220] = vX_[1321] + vX_[1334] * vX_[356];
+ vX_[1263] = vX_[1319] + vX_[1321] + vX_[1263] - vX_[1340] - vX_[1220];
+ vX_[1319] = 0 - vX_[1263];
+ vX_[1321] = (vX_[1295] * vX_[383] + vX_[1306] * vX_[395]) * -1;
+ vX_[1347] = vX_[1321] + vX_[1319] * vX_[397];
+ vX_[1296] = 0 - vX_[1347];
+ vX_[1321] = 0 - (vX_[1146] * vX_[356] + vX_[1371] * vX_[383]) + vX_[1321];
+ vX_[1335] = (vX_[1295] * vX_[356] + vX_[1306] * vX_[383]) * -1;
+ vX_[1366] = vX_[1335] + vX_[1263] * vX_[402];
+ vX_[1336] = 0 - vX_[1366];
+ vX_[1248] = 0 - (vX_[1317] * vX_[356] + vX_[1217] * vX_[383]) + vX_[1317] * vX_[395] * -1 * 2.;
+ vX_[1331] = 0 - vX_[1248];
+ vX_[1252] = vX_[1317] * vX_[383] + vX_[1217] * vX_[395] + vX_[1317] * vX_[383] * -1 * 2.;
+ vX_[1249] = 0 - vX_[1252];
+ vX_[1131] = 0 - vX_[1220];
+ vX_[1335] = vX_[1146] * vX_[383] + vX_[1371] * vX_[395] + vX_[1335];
+ vX_[1187] = 0 - vX_[1278];
+ vX_[1370] = 0 - vX_[1220];
+ jac[272] = 0 - (vX_[1198] * vX_[743] + vX_[1155] * vX_[738] + vX_[1226] * vX_[714] + vX_[1218] * vX_[638] + vX_[1283] * vX_[442] + vX_[1368] * vX_[440] + vX_[1337] * vX_[441] + vX_[1174] * vX_[411] + vX_[1295] * vX_[399] + vX_[1373] * vX_[388] + vX_[1284] * vX_[465] + vX_[1306] * vX_[454] + vX_[1362] * vX_[394] + vX_[1339] * vX_[466] + vX_[1363] * vX_[393] + vX_[1323] * vX_[387] + vX_[1173] * vX_[392] + vX_[1330] * vX_[382] + vX_[1146] * vX_[404] + vX_[1371] * vX_[400] + vX_[1282] * vX_[430] + vX_[1333] * vX_[428] + vX_[1317] * vX_[568] + vX_[1317] * vX_[455] + vX_[1217] * vX_[457] + vX_[1367] * vX_[379] + vX_[1334] * vX_[427] + (vX_[1278] * vX_[403] + vX_[1319] * vX_[413] + vX_[1340] * vX_[398] + vX_[1296] * vX_[409] + (vX_[1321] + vX_[1340] * vX_[397]) * 4.027 + vX_[1336] * vX_[411] + vX_[1331] * vX_[393] + vX_[1249] * vX_[392] + vX_[1278] * vX_[377] + vX_[1340] * vX_[429]) * -0.08 + vX_[1350] * vX_[702] + vX_[1352] * vX_[690] + vX_[1382] * vX_[697] + vX_[1381] * vX_[664] + (vX_[1166] * vX_[743] + vX_[1350] * vX_[704]) * -0.08) * vX_[773] + (vX_[1198] * vX_[738] + vX_[1226] * vX_[638] + vX_[1283] * vX_[440] + vX_[1337] * vX_[411] + vX_[1174] * vX_[439] + vX_[1295] * vX_[454] + vX_[1284] * vX_[466] + vX_[1362] * vX_[388] + vX_[1363] * vX_[392] + vX_[1323] * vX_[382] + vX_[1146] * vX_[400] + vX_[1282] * vX_[428] + vX_[1317] * vX_[457] + vX_[1367] * vX_[427] + vX_[1334] * vX_[424] + vX_[1352] * vX_[702] + vX_[1381] * vX_[697] - (vX_[1155] * vX_[743] + vX_[1350] * vX_[690]) + (vX_[1166] * vX_[738] + (vX_[1263] * vX_[412] + vX_[1131] * vX_[403] + vX_[1347] * vX_[411] + vX_[1366] * vX_[410] + (0 - (vX_[1335] + vX_[1278] * vX_[397] + vX_[1131] * vX_[402])) * 4.027 + vX_[1248] * vX_[387] + vX_[1252] * vX_[382] + vX_[1187] * vX_[389] + vX_[1370] * vX_[423]) * -1 + vX_[1352] * vX_[704]) * -0.08 - (vX_[1218] * vX_[714] + vX_[1368] * vX_[442] + vX_[1373] * vX_[394] + vX_[1306] * vX_[399] + vX_[1339] * vX_[465] + vX_[1173] * vX_[393] + vX_[1330] * vX_[387] + vX_[1371] * vX_[404] + vX_[1333] * vX_[430] + vX_[1317] * vX_[456] + vX_[1217] * vX_[455] + vX_[1382] * vX_[664])) * vX_[1030];
+ vX_[1502] = vX_[1320] + vX_[1502] * vX_[435] + vX_[1501] * vX_[449];
+ vX_[1503] = vX_[1320] + vX_[1500] * vX_[449] + vX_[1503] * vX_[447];
+ vX_[1493] = vX_[1395] + vX_[1404] + vX_[1320] - vX_[1502] - vX_[1503] + vX_[1325] * vX_[436] + vX_[1493] * vX_[355];
+ vX_[1503] = vX_[1503] + vX_[1414] * vX_[355] + vX_[1444] * vX_[451] + vX_[1275] * vX_[726];
+ vX_[1414] = vX_[1493] - vX_[1503];
+ vX_[1499] = vX_[1497] * vX_[435] + vX_[1499] * vX_[449] + vX_[1425] * vX_[451] + vX_[1304] * vX_[436] + vX_[1468] * vX_[355] + vX_[1307] * vX_[726];
+ vX_[1468] = vX_[1414] * vX_[383] + vX_[1499] * vX_[395];
+ vX_[1304] = vX_[1414] * vX_[356] + vX_[1499] * vX_[383];
+ vX_[1426] = vX_[1413] + vX_[1426] * vX_[355] + vX_[1450] * vX_[436] * 2. + vX_[1307] * vX_[720];
+ vX_[1413] = 0 - vX_[1499];
+ vX_[1392] = 0 - (vX_[1500] * vX_[435] + vX_[1501] * vX_[447] + vX_[1504] * vX_[449] + vX_[1424] * vX_[355] + vX_[1392] * vX_[436] + vX_[1469] * vX_[451] + vX_[1357] * vX_[726] + vX_[1275] * vX_[723]);
+ vX_[1504] = 0 - vX_[1503];
+ vX_[1437] = vX_[1461] + vX_[1437] * vX_[355] + vX_[1471] * vX_[451] * 2. + vX_[1275] * vX_[720] + vX_[1197] * vX_[726];
+ vX_[1471] = 0 - vX_[1437];
+ vX_[1470] = vX_[1467] + vX_[1462] * vX_[355] + vX_[1470] * vX_[451] + vX_[1275] * vX_[721] + vX_[1383] * vX_[726];
+ vX_[1467] = 0 - vX_[1470];
+ vX_[1462] = (vX_[1504] * vX_[396] + vX_[1471] * vX_[458] + vX_[1467] * vX_[467]) * 1 / vX_[432];
+ vX_[1504] = vX_[1348] * vX_[710] + vX_[1413] * vX_[445] + vX_[1392] * vX_[433] + vX_[1504] * vX_[461] + vX_[1462];
+ vX_[1415] = vX_[1324] + vX_[1448] * vX_[436] + vX_[1415] * vX_[355] * 2. + vX_[1307] * vX_[721];
+ vX_[1493] = 0 - vX_[1493];
+ vX_[1498] = 0 - (0 - (vX_[1497] * vX_[449] + vX_[1498] * vX_[447]) + vX_[1454] * vX_[451] + vX_[1494] * vX_[355] + vX_[1409] * vX_[436] + vX_[1307] * vX_[723]);
+ vX_[1409] = 0 - vX_[1426];
+ vX_[1497] = 0 - vX_[1415];
+ vX_[1413] = (vX_[1493] * vX_[444] + vX_[1498] * vX_[406] + vX_[1413] * vX_[396] + vX_[1409] * vX_[458] + vX_[1497] * vX_[467]) * 1 / vX_[432];
+ vX_[1493] = vX_[1126] * vX_[710] + vX_[1493] * vX_[445] + vX_[1413];
+ vX_[1494] = vX_[1504] * vX_[395] + vX_[1493] * vX_[383];
+ vX_[1454] = vX_[1504] * vX_[383] + vX_[1493] * vX_[356];
+ vX_[1324] = vX_[1415] * vX_[383] + vX_[1470] * vX_[395];
+ vX_[1461] = vX_[1415] * vX_[356] + vX_[1470] * vX_[383];
+ vX_[1466] = vX_[1189] + vX_[1466] * vX_[436] + vX_[1452] * vX_[451] * 2. + vX_[1357] * vX_[721] + vX_[1383] * vX_[723];
+ vX_[1189] = vX_[1437] - vX_[1466];
+ vX_[1502] = 0 - (vX_[1502] + vX_[1478] * vX_[436] + vX_[1464] * vX_[451] + vX_[1357] * vX_[723]);
+ vX_[1465] = 0 - (vX_[1465] + vX_[1427] * vX_[436] + vX_[1448] * vX_[451] + vX_[1357] * vX_[720] + vX_[1197] * vX_[723]);
+ vX_[1466] = 0 - vX_[1466];
+ vX_[1392] = (vX_[1502] * vX_[406] + vX_[1392] * vX_[396] + vX_[1465] * vX_[458] + vX_[1466] * vX_[467]) * 1 / vX_[432];
+ vX_[1502] = 0 - vX_[1426] + vX_[1318] * vX_[710] + vX_[1498] * vX_[445] + vX_[1502] * vX_[433] + vX_[1392];
+ vX_[1452] = vX_[1452] + vX_[1383] * vX_[721];
+ vX_[1450] = vX_[1450] + vX_[1197] * vX_[720];
+ vX_[1498] = 0 - vX_[1450];
+ vX_[1448] = vX_[1448] + vX_[1197] * vX_[721] + vX_[1383] * vX_[720];
+ vX_[1427] = 0 - vX_[1448];
+ vX_[1357] = (vX_[1498] * vX_[458] + vX_[1427] * vX_[467]) * 1 / vX_[432];
+ vX_[1478] = 0 - vX_[1452];
+ vX_[1464] = vX_[1478] * vX_[467] * 1 / vX_[432];
+ vX_[1392] = 0 - vX_[1126] * vX_[689] - vX_[1318] * vX_[707] - vX_[1348] * vX_[493] - vX_[1259] * vX_[971] + vX_[1259] * vX_[710] - vX_[1380] * vX_[744] - vX_[1351] * vX_[729] - vX_[1413] * vX_[445] - vX_[1392] * vX_[433] - vX_[1462] * vX_[461] - vX_[1357] * vX_[513] - vX_[1464] * vX_[522];
+ vX_[1413] = 0 - vX_[1452] + vX_[1392];
+ vX_[1464] = vX_[1351] * vX_[710] + vX_[1497] * vX_[445] + vX_[1466] * vX_[433] + vX_[1467] * vX_[461] + vX_[1427] * vX_[513] + vX_[1478] * vX_[522] + vX_[1464];
+ vX_[1357] = vX_[1380] * vX_[710] + vX_[1409] * vX_[445] + vX_[1465] * vX_[433] + vX_[1471] * vX_[461] + vX_[1498] * vX_[513] + vX_[1357];
+ vX_[1498] = vX_[1413] * vX_[383] + vX_[1464] * vX_[395];
+ vX_[1465] = vX_[1413] * vX_[356] + vX_[1464] * vX_[383];
+ vX_[1409] = vX_[1498] * vX_[356] + vX_[1465] * vX_[383];
+ vX_[1471] = vX_[1452] + vX_[1498] * vX_[383];
+ vX_[1380] = vX_[1452] + vX_[1465] * vX_[356];
+ vX_[1392] = vX_[1450] + vX_[1452] + vX_[1392] - vX_[1471] - vX_[1380];
+ vX_[1450] = 0 - vX_[1392];
+ vX_[1452] = (vX_[1426] * vX_[383] + vX_[1437] * vX_[395]) * -1;
+ vX_[1478] = vX_[1452] + vX_[1450] * vX_[397];
+ vX_[1427] = 0 - vX_[1478];
+ vX_[1452] = 0 - (vX_[1189] * vX_[356] + vX_[1502] * vX_[383]) + vX_[1452];
+ vX_[1466] = (vX_[1426] * vX_[356] + vX_[1437] * vX_[383]) * -1;
+ vX_[1497] = vX_[1466] + vX_[1392] * vX_[402];
+ vX_[1467] = 0 - vX_[1497];
+ vX_[1351] = 0 - (vX_[1448] * vX_[356] + vX_[1357] * vX_[383]) + vX_[1448] * vX_[395] * -1 * 2.;
+ vX_[1462] = 0 - vX_[1351];
+ vX_[1259] = vX_[1448] * vX_[383] + vX_[1357] * vX_[395] + vX_[1448] * vX_[383] * -1 * 2.;
+ vX_[1348] = 0 - vX_[1259];
+ vX_[1318] = 0 - vX_[1380];
+ vX_[1466] = vX_[1189] * vX_[383] + vX_[1502] * vX_[395] + vX_[1466];
+ vX_[1126] = 0 - vX_[1409];
+ vX_[1501] = 0 - vX_[1380];
+ jac[273] = 0 - (vX_[1307] * vX_[743] + vX_[1275] * vX_[738] + vX_[1288] * vX_[714] + vX_[1383] * vX_[638] + vX_[1414] * vX_[442] + vX_[1499] * vX_[440] + vX_[1468] * vX_[441] + vX_[1304] * vX_[411] + vX_[1426] * vX_[399] + vX_[1504] * vX_[388] + vX_[1415] * vX_[465] + vX_[1437] * vX_[454] + vX_[1493] * vX_[394] + vX_[1470] * vX_[466] + vX_[1494] * vX_[393] + vX_[1454] * vX_[387] + vX_[1324] * vX_[392] + vX_[1461] * vX_[382] + vX_[1189] * vX_[404] + vX_[1502] * vX_[400] + vX_[1413] * vX_[430] + vX_[1464] * vX_[428] + vX_[1448] * vX_[568] + vX_[1448] * vX_[455] + vX_[1357] * vX_[457] + vX_[1498] * vX_[379] + vX_[1465] * vX_[427] + (vX_[1409] * vX_[403] + vX_[1450] * vX_[413] + vX_[1471] * vX_[398] + vX_[1427] * vX_[409] + (vX_[1452] + vX_[1471] * vX_[397]) * 4.027 + vX_[1467] * vX_[411] + vX_[1462] * vX_[393] + vX_[1348] * vX_[392] + vX_[1409] * vX_[377] + vX_[1471] * vX_[429]) * -0.08 + vX_[1481] * vX_[702] + vX_[1483] * vX_[690] + vX_[1513] * vX_[697] + vX_[1512] * vX_[664] + (vX_[1197] * vX_[743] + vX_[1481] * vX_[704]) * -0.08) * vX_[773] + (vX_[1307] * vX_[738] + vX_[1288] * vX_[638] + vX_[1414] * vX_[440] + vX_[1468] * vX_[411] + vX_[1304] * vX_[439] + vX_[1426] * vX_[454] + vX_[1415] * vX_[466] + vX_[1493] * vX_[388] + vX_[1494] * vX_[392] + vX_[1454] * vX_[382] + vX_[1189] * vX_[400] + vX_[1413] * vX_[428] + vX_[1448] * vX_[457] + vX_[1498] * vX_[427] + vX_[1465] * vX_[424] + vX_[1483] * vX_[702] + vX_[1512] * vX_[697] - (vX_[1275] * vX_[743] + vX_[1481] * vX_[690]) + (vX_[1197] * vX_[738] + (vX_[1392] * vX_[412] + vX_[1318] * vX_[403] + vX_[1478] * vX_[411] + vX_[1497] * vX_[410] + (0 - (vX_[1466] + vX_[1409] * vX_[397] + vX_[1318] * vX_[402])) * 4.027 + vX_[1351] * vX_[387] + vX_[1259] * vX_[382] + vX_[1126] * vX_[389] + vX_[1501] * vX_[423]) * -1 + vX_[1483] * vX_[704]) * -0.08 - (vX_[1383] * vX_[714] + vX_[1499] * vX_[442] + vX_[1504] * vX_[394] + vX_[1437] * vX_[399] + vX_[1470] * vX_[465] + vX_[1324] * vX_[393] + vX_[1461] * vX_[387] + vX_[1502] * vX_[404] + vX_[1464] * vX_[430] + vX_[1448] * vX_[456] + vX_[1357] * vX_[455] + vX_[1513] * vX_[664])) * vX_[1030];
+ vX_[1633] = vX_[1491] + vX_[1633] * vX_[435] + vX_[1632] * vX_[449];
+ vX_[1634] = vX_[1491] + vX_[1631] * vX_[449] + vX_[1634] * vX_[447];
+ vX_[1624] = vX_[1525] + vX_[1535] + vX_[1491] - vX_[1633] - vX_[1634] + vX_[1457] * vX_[436] + vX_[1624] * vX_[355];
+ vX_[1634] = vX_[1634] + vX_[1545] * vX_[355] + vX_[1575] * vX_[451] + vX_[1436] * vX_[726];
+ vX_[1545] = vX_[1624] - vX_[1634];
+ vX_[1630] = vX_[1628] * vX_[435] + vX_[1630] * vX_[449] + vX_[1556] * vX_[451] + vX_[1453] * vX_[436] + vX_[1599] * vX_[355] + vX_[1416] * vX_[726];
+ vX_[1599] = vX_[1545] * vX_[383] + vX_[1630] * vX_[395];
+ vX_[1453] = vX_[1545] * vX_[356] + vX_[1630] * vX_[383];
+ vX_[1557] = vX_[1544] + vX_[1557] * vX_[355] + vX_[1581] * vX_[436] * 2. + vX_[1416] * vX_[720];
+ vX_[1544] = 0 - vX_[1630];
+ vX_[1522] = 0 - (vX_[1631] * vX_[435] + vX_[1632] * vX_[447] + vX_[1635] * vX_[449] + vX_[1555] * vX_[355] + vX_[1522] * vX_[436] + vX_[1600] * vX_[451] + vX_[1375] * vX_[726] + vX_[1436] * vX_[723]);
+ vX_[1635] = 0 - vX_[1634];
+ vX_[1568] = vX_[1592] + vX_[1568] * vX_[355] + vX_[1602] * vX_[451] * 2. + vX_[1436] * vX_[720] + vX_[1405] * vX_[726];
+ vX_[1602] = 0 - vX_[1568];
+ vX_[1601] = vX_[1598] + vX_[1593] * vX_[355] + vX_[1601] * vX_[451] + vX_[1436] * vX_[721] + vX_[1511] * vX_[726];
+ vX_[1598] = 0 - vX_[1601];
+ vX_[1593] = (vX_[1635] * vX_[396] + vX_[1602] * vX_[458] + vX_[1598] * vX_[467]) * 1 / vX_[432];
+ vX_[1635] = vX_[1449] * vX_[710] + vX_[1544] * vX_[445] + vX_[1522] * vX_[433] + vX_[1635] * vX_[461] + vX_[1593];
+ vX_[1546] = vX_[1456] + vX_[1579] * vX_[436] + vX_[1546] * vX_[355] * 2. + vX_[1416] * vX_[721];
+ vX_[1624] = 0 - vX_[1624];
+ vX_[1629] = 0 - (0 - (vX_[1628] * vX_[449] + vX_[1629] * vX_[447]) + vX_[1585] * vX_[451] + vX_[1625] * vX_[355] + vX_[1540] * vX_[436] + vX_[1416] * vX_[723]);
+ vX_[1540] = 0 - vX_[1557];
+ vX_[1628] = 0 - vX_[1546];
+ vX_[1544] = (vX_[1624] * vX_[444] + vX_[1629] * vX_[406] + vX_[1544] * vX_[396] + vX_[1540] * vX_[458] + vX_[1628] * vX_[467]) * 1 / vX_[432];
+ vX_[1624] = vX_[1419] * vX_[710] + vX_[1624] * vX_[445] + vX_[1544];
+ vX_[1625] = vX_[1635] * vX_[395] + vX_[1624] * vX_[383];
+ vX_[1585] = vX_[1635] * vX_[383] + vX_[1624] * vX_[356];
+ vX_[1456] = vX_[1546] * vX_[383] + vX_[1601] * vX_[395];
+ vX_[1592] = vX_[1546] * vX_[356] + vX_[1601] * vX_[383];
+ vX_[1597] = vX_[1435] + vX_[1597] * vX_[436] + vX_[1583] * vX_[451] * 2. + vX_[1375] * vX_[721] + vX_[1511] * vX_[723];
+ vX_[1435] = vX_[1568] - vX_[1597];
+ vX_[1633] = 0 - (vX_[1633] + vX_[1609] * vX_[436] + vX_[1595] * vX_[451] + vX_[1375] * vX_[723]);
+ vX_[1596] = 0 - (vX_[1596] + vX_[1558] * vX_[436] + vX_[1579] * vX_[451] + vX_[1375] * vX_[720] + vX_[1405] * vX_[723]);
+ vX_[1597] = 0 - vX_[1597];
+ vX_[1522] = (vX_[1633] * vX_[406] + vX_[1522] * vX_[396] + vX_[1596] * vX_[458] + vX_[1597] * vX_[467]) * 1 / vX_[432];
+ vX_[1633] = 0 - vX_[1557] + vX_[1488] * vX_[710] + vX_[1629] * vX_[445] + vX_[1633] * vX_[433] + vX_[1522];
+ vX_[1583] = vX_[1583] + vX_[1511] * vX_[721];
+ vX_[1581] = vX_[1581] + vX_[1405] * vX_[720];
+ vX_[1629] = 0 - vX_[1581];
+ vX_[1579] = vX_[1579] + vX_[1405] * vX_[721] + vX_[1511] * vX_[720];
+ vX_[1558] = 0 - vX_[1579];
+ vX_[1375] = (vX_[1629] * vX_[458] + vX_[1558] * vX_[467]) * 1 / vX_[432];
+ vX_[1609] = 0 - vX_[1583];
+ vX_[1595] = vX_[1609] * vX_[467] * 1 / vX_[432];
+ vX_[1522] = 0 - vX_[1419] * vX_[689] - vX_[1488] * vX_[707] - vX_[1449] * vX_[493] - vX_[1479] * vX_[971] + vX_[1479] * vX_[710] - vX_[1247] * vX_[744] - vX_[1514] * vX_[729] - vX_[1544] * vX_[445] - vX_[1522] * vX_[433] - vX_[1593] * vX_[461] - vX_[1375] * vX_[513] - vX_[1595] * vX_[522];
+ vX_[1544] = 0 - vX_[1583] + vX_[1522];
+ vX_[1595] = vX_[1514] * vX_[710] + vX_[1628] * vX_[445] + vX_[1597] * vX_[433] + vX_[1598] * vX_[461] + vX_[1558] * vX_[513] + vX_[1609] * vX_[522] + vX_[1595];
+ vX_[1375] = vX_[1247] * vX_[710] + vX_[1540] * vX_[445] + vX_[1596] * vX_[433] + vX_[1602] * vX_[461] + vX_[1629] * vX_[513] + vX_[1375];
+ vX_[1629] = vX_[1544] * vX_[383] + vX_[1595] * vX_[395];
+ vX_[1596] = vX_[1544] * vX_[356] + vX_[1595] * vX_[383];
+ vX_[1540] = vX_[1629] * vX_[356] + vX_[1596] * vX_[383];
+ vX_[1602] = vX_[1583] + vX_[1629] * vX_[383];
+ vX_[1247] = vX_[1583] + vX_[1596] * vX_[356];
+ vX_[1522] = vX_[1581] + vX_[1583] + vX_[1522] - vX_[1602] - vX_[1247];
+ vX_[1581] = 0 - vX_[1522];
+ vX_[1583] = (vX_[1557] * vX_[383] + vX_[1568] * vX_[395]) * -1;
+ vX_[1609] = vX_[1583] + vX_[1581] * vX_[397];
+ vX_[1558] = 0 - vX_[1609];
+ vX_[1583] = 0 - (vX_[1435] * vX_[356] + vX_[1633] * vX_[383]) + vX_[1583];
+ vX_[1597] = (vX_[1557] * vX_[356] + vX_[1568] * vX_[383]) * -1;
+ vX_[1628] = vX_[1597] + vX_[1522] * vX_[402];
+ vX_[1598] = 0 - vX_[1628];
+ vX_[1514] = 0 - (vX_[1579] * vX_[356] + vX_[1375] * vX_[383]) + vX_[1579] * vX_[395] * -1 * 2.;
+ vX_[1593] = 0 - vX_[1514];
+ vX_[1479] = vX_[1579] * vX_[383] + vX_[1375] * vX_[395] + vX_[1579] * vX_[383] * -1 * 2.;
+ vX_[1449] = 0 - vX_[1479];
+ vX_[1488] = 0 - vX_[1247];
+ vX_[1597] = vX_[1435] * vX_[383] + vX_[1633] * vX_[395] + vX_[1597];
+ vX_[1419] = 0 - vX_[1540];
+ vX_[1632] = 0 - vX_[1247];
+ jac[274] = 0 - (vX_[1416] * vX_[743] + vX_[1436] * vX_[738] + vX_[1328] * vX_[714] + vX_[1511] * vX_[638] + vX_[1545] * vX_[442] + vX_[1630] * vX_[440] + vX_[1599] * vX_[441] + vX_[1453] * vX_[411] + vX_[1557] * vX_[399] + vX_[1635] * vX_[388] + vX_[1546] * vX_[465] + vX_[1568] * vX_[454] + vX_[1624] * vX_[394] + vX_[1601] * vX_[466] + vX_[1625] * vX_[393] + vX_[1585] * vX_[387] + vX_[1456] * vX_[392] + vX_[1592] * vX_[382] + vX_[1435] * vX_[404] + vX_[1633] * vX_[400] + vX_[1544] * vX_[430] + vX_[1595] * vX_[428] + vX_[1579] * vX_[568] + vX_[1579] * vX_[455] + vX_[1375] * vX_[457] + vX_[1629] * vX_[379] + vX_[1596] * vX_[427] + (vX_[1540] * vX_[403] + vX_[1581] * vX_[413] + vX_[1602] * vX_[398] + vX_[1558] * vX_[409] + (vX_[1583] + vX_[1602] * vX_[397]) * 4.027 + vX_[1598] * vX_[411] + vX_[1593] * vX_[393] + vX_[1449] * vX_[392] + vX_[1540] * vX_[377] + vX_[1602] * vX_[429]) * -0.08 + vX_[1612] * vX_[702] + vX_[1614] * vX_[690] + vX_[1644] * vX_[697] + vX_[1643] * vX_[664] + (vX_[1405] * vX_[743] + vX_[1612] * vX_[704]) * -0.08) * vX_[773] + (vX_[1416] * vX_[738] + vX_[1328] * vX_[638] + vX_[1545] * vX_[440] + vX_[1599] * vX_[411] + vX_[1453] * vX_[439] + vX_[1557] * vX_[454] + vX_[1546] * vX_[466] + vX_[1624] * vX_[388] + vX_[1625] * vX_[392] + vX_[1585] * vX_[382] + vX_[1435] * vX_[400] + vX_[1544] * vX_[428] + vX_[1579] * vX_[457] + vX_[1629] * vX_[427] + vX_[1596] * vX_[424] + vX_[1614] * vX_[702] + vX_[1643] * vX_[697] - (vX_[1436] * vX_[743] + vX_[1612] * vX_[690]) + (vX_[1405] * vX_[738] + (vX_[1522] * vX_[412] + vX_[1488] * vX_[403] + vX_[1609] * vX_[411] + vX_[1628] * vX_[410] + (0 - (vX_[1597] + vX_[1540] * vX_[397] + vX_[1488] * vX_[402])) * 4.027 + vX_[1514] * vX_[387] + vX_[1479] * vX_[382] + vX_[1419] * vX_[389] + vX_[1632] * vX_[423]) * -1 + vX_[1614] * vX_[704]) * -0.08 - (vX_[1511] * vX_[714] + vX_[1630] * vX_[442] + vX_[1635] * vX_[394] + vX_[1568] * vX_[399] + vX_[1601] * vX_[465] + vX_[1456] * vX_[393] + vX_[1592] * vX_[387] + vX_[1633] * vX_[404] + vX_[1595] * vX_[430] + vX_[1579] * vX_[456] + vX_[1375] * vX_[455] + vX_[1644] * vX_[664])) * vX_[1030];
+ vX_[1764] = vX_[1622] + vX_[1764] * vX_[435] + vX_[1763] * vX_[449];
+ vX_[1765] = vX_[1622] + vX_[1762] * vX_[449] + vX_[1765] * vX_[447];
+ vX_[1755] = vX_[1656] + vX_[1666] + vX_[1622] - vX_[1764] - vX_[1765] + vX_[1588] * vX_[436] + vX_[1755] * vX_[355];
+ vX_[1765] = vX_[1765] + vX_[1676] * vX_[355] + vX_[1706] * vX_[451] + vX_[1567] * vX_[726];
+ vX_[1676] = vX_[1755] - vX_[1765];
+ vX_[1761] = vX_[1759] * vX_[435] + vX_[1761] * vX_[449] + vX_[1687] * vX_[451] + vX_[1584] * vX_[436] + vX_[1730] * vX_[355] + vX_[1547] * vX_[726];
+ vX_[1730] = vX_[1676] * vX_[383] + vX_[1761] * vX_[395];
+ vX_[1584] = vX_[1676] * vX_[356] + vX_[1761] * vX_[383];
+ vX_[1688] = vX_[1675] + vX_[1688] * vX_[355] + vX_[1712] * vX_[436] * 2. + vX_[1547] * vX_[720];
+ vX_[1675] = 0 - vX_[1761];
+ vX_[1653] = 0 - (vX_[1762] * vX_[435] + vX_[1763] * vX_[447] + vX_[1766] * vX_[449] + vX_[1686] * vX_[355] + vX_[1653] * vX_[436] + vX_[1731] * vX_[451] + vX_[1244] * vX_[726] + vX_[1567] * vX_[723]);
+ vX_[1766] = 0 - vX_[1765];
+ vX_[1699] = vX_[1723] + vX_[1699] * vX_[355] + vX_[1733] * vX_[451] * 2. + vX_[1567] * vX_[720] + vX_[1536] * vX_[726];
+ vX_[1733] = 0 - vX_[1699];
+ vX_[1732] = vX_[1729] + vX_[1724] * vX_[355] + vX_[1732] * vX_[451] + vX_[1567] * vX_[721] + vX_[1642] * vX_[726];
+ vX_[1729] = 0 - vX_[1732];
+ vX_[1724] = (vX_[1766] * vX_[396] + vX_[1733] * vX_[458] + vX_[1729] * vX_[467]) * 1 / vX_[432];
+ vX_[1766] = vX_[1580] * vX_[710] + vX_[1675] * vX_[445] + vX_[1653] * vX_[433] + vX_[1766] * vX_[461] + vX_[1724];
+ vX_[1677] = vX_[1587] + vX_[1710] * vX_[436] + vX_[1677] * vX_[355] * 2. + vX_[1547] * vX_[721];
+ vX_[1755] = 0 - vX_[1755];
+ vX_[1760] = 0 - (0 - (vX_[1759] * vX_[449] + vX_[1760] * vX_[447]) + vX_[1716] * vX_[451] + vX_[1756] * vX_[355] + vX_[1671] * vX_[436] + vX_[1547] * vX_[723]);
+ vX_[1671] = 0 - vX_[1688];
+ vX_[1759] = 0 - vX_[1677];
+ vX_[1675] = (vX_[1755] * vX_[444] + vX_[1760] * vX_[406] + vX_[1675] * vX_[396] + vX_[1671] * vX_[458] + vX_[1759] * vX_[467]) * 1 / vX_[432];
+ vX_[1755] = vX_[1550] * vX_[710] + vX_[1755] * vX_[445] + vX_[1675];
+ vX_[1756] = vX_[1766] * vX_[395] + vX_[1755] * vX_[383];
+ vX_[1716] = vX_[1766] * vX_[383] + vX_[1755] * vX_[356];
+ vX_[1587] = vX_[1677] * vX_[383] + vX_[1732] * vX_[395];
+ vX_[1723] = vX_[1677] * vX_[356] + vX_[1732] * vX_[383];
+ vX_[1728] = vX_[1566] + vX_[1728] * vX_[436] + vX_[1714] * vX_[451] * 2. + vX_[1244] * vX_[721] + vX_[1642] * vX_[723];
+ vX_[1566] = vX_[1699] - vX_[1728];
+ vX_[1764] = 0 - (vX_[1764] + vX_[1740] * vX_[436] + vX_[1726] * vX_[451] + vX_[1244] * vX_[723]);
+ vX_[1727] = 0 - (vX_[1727] + vX_[1689] * vX_[436] + vX_[1710] * vX_[451] + vX_[1244] * vX_[720] + vX_[1536] * vX_[723]);
+ vX_[1728] = 0 - vX_[1728];
+ vX_[1653] = (vX_[1764] * vX_[406] + vX_[1653] * vX_[396] + vX_[1727] * vX_[458] + vX_[1728] * vX_[467]) * 1 / vX_[432];
+ vX_[1764] = 0 - vX_[1688] + vX_[1619] * vX_[710] + vX_[1760] * vX_[445] + vX_[1764] * vX_[433] + vX_[1653];
+ vX_[1714] = vX_[1714] + vX_[1642] * vX_[721];
+ vX_[1712] = vX_[1712] + vX_[1536] * vX_[720];
+ vX_[1760] = 0 - vX_[1712];
+ vX_[1710] = vX_[1710] + vX_[1536] * vX_[721] + vX_[1642] * vX_[720];
+ vX_[1689] = 0 - vX_[1710];
+ vX_[1244] = (vX_[1760] * vX_[458] + vX_[1689] * vX_[467]) * 1 / vX_[432];
+ vX_[1740] = 0 - vX_[1714];
+ vX_[1726] = vX_[1740] * vX_[467] * 1 / vX_[432];
+ vX_[1653] = 0 - vX_[1550] * vX_[689] - vX_[1619] * vX_[707] - vX_[1580] * vX_[493] - vX_[1610] * vX_[971] + vX_[1610] * vX_[710] - vX_[1378] * vX_[744] - vX_[1645] * vX_[729] - vX_[1675] * vX_[445] - vX_[1653] * vX_[433] - vX_[1724] * vX_[461] - vX_[1244] * vX_[513] - vX_[1726] * vX_[522];
+ vX_[1675] = 0 - vX_[1714] + vX_[1653];
+ vX_[1726] = vX_[1645] * vX_[710] + vX_[1759] * vX_[445] + vX_[1728] * vX_[433] + vX_[1729] * vX_[461] + vX_[1689] * vX_[513] + vX_[1740] * vX_[522] + vX_[1726];
+ vX_[1244] = vX_[1378] * vX_[710] + vX_[1671] * vX_[445] + vX_[1727] * vX_[433] + vX_[1733] * vX_[461] + vX_[1760] * vX_[513] + vX_[1244];
+ vX_[1760] = vX_[1675] * vX_[383] + vX_[1726] * vX_[395];
+ vX_[1727] = vX_[1675] * vX_[356] + vX_[1726] * vX_[383];
+ vX_[1671] = vX_[1760] * vX_[356] + vX_[1727] * vX_[383];
+ vX_[1733] = vX_[1714] + vX_[1760] * vX_[383];
+ vX_[1378] = vX_[1714] + vX_[1727] * vX_[356];
+ vX_[1653] = vX_[1712] + vX_[1714] + vX_[1653] - vX_[1733] - vX_[1378];
+ vX_[1712] = 0 - vX_[1653];
+ vX_[1714] = (vX_[1688] * vX_[383] + vX_[1699] * vX_[395]) * -1;
+ vX_[1740] = vX_[1714] + vX_[1712] * vX_[397];
+ vX_[1689] = 0 - vX_[1740];
+ vX_[1714] = 0 - (vX_[1566] * vX_[356] + vX_[1764] * vX_[383]) + vX_[1714];
+ vX_[1728] = (vX_[1688] * vX_[356] + vX_[1699] * vX_[383]) * -1;
+ vX_[1759] = vX_[1728] + vX_[1653] * vX_[402];
+ vX_[1729] = 0 - vX_[1759];
+ vX_[1645] = 0 - (vX_[1710] * vX_[356] + vX_[1244] * vX_[383]) + vX_[1710] * vX_[395] * -1 * 2.;
+ vX_[1724] = 0 - vX_[1645];
+ vX_[1610] = vX_[1710] * vX_[383] + vX_[1244] * vX_[395] + vX_[1710] * vX_[383] * -1 * 2.;
+ vX_[1580] = 0 - vX_[1610];
+ vX_[1619] = 0 - vX_[1378];
+ vX_[1728] = vX_[1566] * vX_[383] + vX_[1764] * vX_[395] + vX_[1728];
+ vX_[1550] = 0 - vX_[1671];
+ vX_[1763] = 0 - vX_[1378];
+ jac[275] = 0 - (vX_[1547] * vX_[743] + vX_[1567] * vX_[738] + vX_[1460] * vX_[714] + vX_[1642] * vX_[638] + vX_[1676] * vX_[442] + vX_[1761] * vX_[440] + vX_[1730] * vX_[441] + vX_[1584] * vX_[411] + vX_[1688] * vX_[399] + vX_[1766] * vX_[388] + vX_[1677] * vX_[465] + vX_[1699] * vX_[454] + vX_[1755] * vX_[394] + vX_[1732] * vX_[466] + vX_[1756] * vX_[393] + vX_[1716] * vX_[387] + vX_[1587] * vX_[392] + vX_[1723] * vX_[382] + vX_[1566] * vX_[404] + vX_[1764] * vX_[400] + vX_[1675] * vX_[430] + vX_[1726] * vX_[428] + vX_[1710] * vX_[568] + vX_[1710] * vX_[455] + vX_[1244] * vX_[457] + vX_[1760] * vX_[379] + vX_[1727] * vX_[427] + (vX_[1671] * vX_[403] + vX_[1712] * vX_[413] + vX_[1733] * vX_[398] + vX_[1689] * vX_[409] + (vX_[1714] + vX_[1733] * vX_[397]) * 4.027 + vX_[1729] * vX_[411] + vX_[1724] * vX_[393] + vX_[1580] * vX_[392] + vX_[1671] * vX_[377] + vX_[1733] * vX_[429]) * -0.08 + vX_[1743] * vX_[702] + vX_[1745] * vX_[690] + vX_[1775] * vX_[697] + vX_[1774] * vX_[664] + (vX_[1536] * vX_[743] + vX_[1743] * vX_[704]) * -0.08) * vX_[773] + (vX_[1547] * vX_[738] + vX_[1460] * vX_[638] + vX_[1676] * vX_[440] + vX_[1730] * vX_[411] + vX_[1584] * vX_[439] + vX_[1688] * vX_[454] + vX_[1677] * vX_[466] + vX_[1755] * vX_[388] + vX_[1756] * vX_[392] + vX_[1716] * vX_[382] + vX_[1566] * vX_[400] + vX_[1675] * vX_[428] + vX_[1710] * vX_[457] + vX_[1760] * vX_[427] + vX_[1727] * vX_[424] + vX_[1745] * vX_[702] + vX_[1774] * vX_[697] - (vX_[1567] * vX_[743] + vX_[1743] * vX_[690]) + (vX_[1536] * vX_[738] + (vX_[1653] * vX_[412] + vX_[1619] * vX_[403] + vX_[1740] * vX_[411] + vX_[1759] * vX_[410] + (0 - (vX_[1728] + vX_[1671] * vX_[397] + vX_[1619] * vX_[402])) * 4.027 + vX_[1645] * vX_[387] + vX_[1610] * vX_[382] + vX_[1550] * vX_[389] + vX_[1763] * vX_[423]) * -1 + vX_[1745] * vX_[704]) * -0.08 - (vX_[1642] * vX_[714] + vX_[1761] * vX_[442] + vX_[1766] * vX_[394] + vX_[1699] * vX_[399] + vX_[1732] * vX_[465] + vX_[1587] * vX_[393] + vX_[1723] * vX_[387] + vX_[1764] * vX_[404] + vX_[1726] * vX_[430] + vX_[1710] * vX_[456] + vX_[1244] * vX_[455] + vX_[1775] * vX_[664])) * vX_[1030];
+ vX_[1911] = vX_[1591] + vX_[1911] * vX_[435] + vX_[1910] * vX_[449];
+ vX_[1912] = vX_[1591] + vX_[1909] * vX_[449] + vX_[1912] * vX_[447];
+ vX_[1902] = vX_[1811] + vX_[1818] + vX_[1591] - vX_[1911] - vX_[1912] + vX_[1744] * vX_[436] + vX_[1902] * vX_[355];
+ vX_[1912] = vX_[1912] + vX_[1825] * vX_[355] + vX_[1852] * vX_[451] + vX_[1506] * vX_[726];
+ vX_[1825] = vX_[1902] - vX_[1912];
+ vX_[1908] = vX_[1906] * vX_[435] + vX_[1908] * vX_[449] + vX_[1835] * vX_[451] + vX_[787] * vX_[436] + vX_[1874] * vX_[355] + vX_[1711] * vX_[726];
+ vX_[1874] = vX_[1825] * vX_[383] + vX_[1908] * vX_[395];
+ vX_[787] = vX_[1825] * vX_[356] + vX_[1908] * vX_[383];
+ vX_[1836] = vX_[1824] + vX_[1836] * vX_[355] + vX_[1856] * vX_[436] * 2. + vX_[1711] * vX_[720];
+ vX_[1824] = vX_[696] * vX_[1810] + vX_[591] * vX_[1898] + vX_[354] * vX_[1899] + vX_[583] * vX_[1855] + vX_[587] * vX_[1754] + vX_[726];
+ vX_[1835] = 0 - vX_[1908];
+ vX_[1807] = 0 - (vX_[1909] * vX_[435] + vX_[1910] * vX_[447] + vX_[1913] * vX_[449] + vX_[1834] * vX_[355] + vX_[1807] * vX_[436] + vX_[1875] * vX_[451] + vX_[1769] * vX_[726] + vX_[1506] * vX_[723]);
+ vX_[1913] = 0 - vX_[1912];
+ vX_[1846] = vX_[1867] + vX_[1846] * vX_[355] + vX_[1877] * vX_[451] * 2. + vX_[1506] * vX_[720] + vX_[1768] * vX_[726];
+ vX_[1877] = 0 - vX_[1846];
+ vX_[1876] = vX_[1873] + vX_[1868] * vX_[355] + vX_[1876] * vX_[451] + vX_[1506] * vX_[721] + vX_[1783] * vX_[726];
+ vX_[1873] = 0 - vX_[1876];
+ vX_[1868] = (vX_[1913] * vX_[396] + vX_[1877] * vX_[458] + vX_[1873] * vX_[467]) * 1 / vX_[432];
+ vX_[1913] = vX_[1753] * vX_[1824] + vX_[1509] * vX_[710] + vX_[1835] * vX_[445] + vX_[1807] * vX_[433] + vX_[1913] * vX_[461] + vX_[1868];
+ vX_[1826] = vX_[1742] + vX_[1741] * vX_[436] + vX_[1826] * vX_[355] * 2. + vX_[1711] * vX_[721];
+ vX_[1018] = 0 - vX_[1018];
+ vX_[1742] = -1 * vX_[1018];
+ vX_[1753] = 0.207 * vX_[1810] + vX_[1742];
+ vX_[1902] = 0 - vX_[1902];
+ vX_[1907] = 0 - (0 - (vX_[1906] * vX_[449] + vX_[1907] * vX_[447]) + vX_[1860] * vX_[451] + vX_[1903] * vX_[355] + vX_[1822] * vX_[436] + vX_[1711] * vX_[723]);
+ vX_[1822] = 0 - vX_[1836];
+ vX_[1906] = 0 - vX_[1826];
+ vX_[1835] = (vX_[1902] * vX_[444] + vX_[1907] * vX_[406] + vX_[1835] * vX_[396] + vX_[1822] * vX_[458] + vX_[1906] * vX_[467]) * 1 / vX_[432];
+ vX_[1902] = vX_[1721] * vX_[1753] + vX_[1507] * vX_[710] + vX_[1902] * vX_[445] + vX_[1835];
+ vX_[1721] = vX_[1913] * vX_[395] + vX_[1902] * vX_[383];
+ vX_[1903] = vX_[1913] * vX_[383] + vX_[1902] * vX_[356];
+ vX_[1860] = vX_[1826] * vX_[383] + vX_[1876] * vX_[395];
+ vX_[1867] = vX_[1826] * vX_[356] + vX_[1876] * vX_[383];
+ vX_[1872] = vX_[1638] + vX_[1872] * vX_[436] + vX_[1858] * vX_[451] * 2. + vX_[1769] * vX_[721] + vX_[1783] * vX_[723];
+ vX_[1638] = vX_[1846] - vX_[1872];
+ vX_[1910] = vX_[450] * vX_[1810] + vX_[448] * vX_[1898] + vX_[724] * vX_[1899] + vX_[435] * vX_[1855] + vX_[353] * vX_[1754] + vX_[723];
+ vX_[1911] = 0 - (vX_[1911] + vX_[1885] * vX_[436] + vX_[1870] * vX_[451] + vX_[1769] * vX_[723]);
+ vX_[1871] = 0 - (vX_[1871] + vX_[1837] * vX_[436] + vX_[1741] * vX_[451] + vX_[1769] * vX_[720] + vX_[1768] * vX_[723]);
+ vX_[1872] = 0 - vX_[1872];
+ vX_[1807] = (vX_[1911] * vX_[406] + vX_[1807] * vX_[396] + vX_[1871] * vX_[458] + vX_[1872] * vX_[467]) * 1 / vX_[432];
+ vX_[1911] = 0 - vX_[1836] + vX_[1757] * vX_[1910] + vX_[1767] * vX_[710] + vX_[1907] * vX_[445] + vX_[1911] * vX_[433] + vX_[1807];
+ vX_[1858] = vX_[1858] + vX_[1783] * vX_[721];
+ vX_[1907] = -1 * vX_[1899];
+ vX_[1757] = vX_[435] * vX_[1810] + vX_[449] * vX_[1898] + vX_[720];
+ vX_[1837] = vX_[449] * vX_[1810] + vX_[447] * vX_[1898] + vX_[721];
+ vX_[1769] = (vX_[710] - vX_[432] * vX_[1907] - vX_[458] * vX_[1757] - vX_[467] * vX_[1837] - vX_[444] * vX_[1753] - vX_[406] * vX_[1910] - vX_[396] * vX_[1824]) / vX_[432];
+ vX_[1856] = vX_[1856] + vX_[1768] * vX_[720];
+ vX_[1885] = 0 - vX_[1856];
+ vX_[1741] = vX_[1741] + vX_[1768] * vX_[721] + vX_[1783] * vX_[720];
+ vX_[1870] = 0 - vX_[1741];
+ vX_[1909] = (vX_[1885] * vX_[458] + vX_[1870] * vX_[467]) * 1 / vX_[432];
+ vX_[1834] = 0 - vX_[1858];
+ vX_[1875] = vX_[1834] * vX_[467] * 1 / vX_[432];
+ vX_[1807] = 0 - vX_[1758] * vX_[1769] + vX_[1725] * vX_[1907] - vX_[1507] * vX_[689] - vX_[1767] * vX_[707] - vX_[1509] * vX_[493] - vX_[1605] * vX_[971] + vX_[1605] * vX_[710] - vX_[789] * vX_[744] - vX_[1784] * vX_[729] - vX_[1835] * vX_[445] - vX_[1807] * vX_[433] - vX_[1868] * vX_[461] - vX_[1909] * vX_[513] - vX_[1875] * vX_[522];
+ vX_[1835] = 0 - vX_[1858] + vX_[1807];
+ vX_[1875] = vX_[1678] * vX_[1837] + vX_[1784] * vX_[710] + vX_[1906] * vX_[445] + vX_[1872] * vX_[433] + vX_[1873] * vX_[461] + vX_[1870] * vX_[513] + vX_[1834] * vX_[522] + vX_[1875];
+ vX_[1909] = vX_[1684] * vX_[1757] + vX_[789] * vX_[710] + vX_[1822] * vX_[445] + vX_[1871] * vX_[433] + vX_[1877] * vX_[461] + vX_[1885] * vX_[513] + vX_[1909];
+ vX_[1885] = vX_[1835] * vX_[383] + vX_[1875] * vX_[395];
+ vX_[1871] = vX_[1835] * vX_[356] + vX_[1875] * vX_[383];
+ vX_[1822] = vX_[1885] * vX_[356] + vX_[1871] * vX_[383];
+ vX_[1877] = vX_[1858] + vX_[1885] * vX_[383];
+ vX_[789] = vX_[1858] + vX_[1871] * vX_[356];
+ vX_[1807] = vX_[1856] + vX_[1858] + vX_[1807] - vX_[1877] - vX_[789];
+ vX_[1856] = 0 - vX_[1807];
+ vX_[1858] = (vX_[1836] * vX_[383] + vX_[1846] * vX_[395]) * -1;
+ vX_[1684] = vX_[1858] + vX_[1856] * vX_[397];
+ vX_[1834] = 0 - vX_[1684];
+ vX_[1858] = 0 - (vX_[1638] * vX_[356] + vX_[1911] * vX_[383]) + vX_[1858];
+ vX_[1870] = (vX_[1836] * vX_[356] + vX_[1846] * vX_[383]) * -1;
+ vX_[1872] = vX_[1870] + vX_[1807] * vX_[402];
+ vX_[1906] = 0 - vX_[1872];
+ vX_[1873] = 0 - (vX_[1741] * vX_[356] + vX_[1909] * vX_[383]) + vX_[1741] * vX_[395] * -1 * 2.;
+ vX_[1784] = 0 - vX_[1873];
+ vX_[1678] = vX_[1741] * vX_[383] + vX_[1909] * vX_[395] + vX_[1741] * vX_[383] * -1 * 2.;
+ vX_[1868] = 0 - vX_[1678];
+ vX_[1605] = 0 - vX_[789];
+ vX_[1870] = vX_[1638] * vX_[383] + vX_[1911] * vX_[395] + vX_[1870];
+ vX_[1509] = 0 - vX_[1822];
+ vX_[1767] = 0 - vX_[789];
+ jac[276] = 0 - (vX_[1711] * vX_[743] + vX_[1506] * vX_[738] + vX_[1637] * vX_[714] + vX_[1783] * vX_[638] + vX_[1825] * vX_[442] + vX_[1908] * vX_[440] + vX_[1874] * vX_[441] + vX_[787] * vX_[411] + vX_[1836] * vX_[399] + vX_[1913] * vX_[388] + vX_[1826] * vX_[465] + vX_[1846] * vX_[454] + vX_[1902] * vX_[394] + vX_[1876] * vX_[466] + vX_[1721] * vX_[393] + vX_[1903] * vX_[387] + vX_[1860] * vX_[392] + vX_[1867] * vX_[382] + vX_[1638] * vX_[404] + vX_[1911] * vX_[400] + vX_[1835] * vX_[430] + vX_[1875] * vX_[428] + vX_[1741] * vX_[568] + vX_[1741] * vX_[455] + vX_[1909] * vX_[457] + vX_[1885] * vX_[379] + vX_[1871] * vX_[427] + (vX_[1822] * vX_[403] + vX_[1856] * vX_[413] + vX_[1877] * vX_[398] + vX_[1834] * vX_[409] + (vX_[1858] + vX_[1877] * vX_[397]) * 4.027 + vX_[1906] * vX_[411] + vX_[1784] * vX_[393] + vX_[1868] * vX_[392] + vX_[1822] * vX_[377] + vX_[1877] * vX_[429]) * -0.08 + vX_[1888] * vX_[702] + vX_[1890] * vX_[690] + vX_[1922] * vX_[697] + vX_[1921] * vX_[664] + (vX_[1768] * vX_[743] + vX_[1888] * vX_[704]) * -0.08) * vX_[773] + (vX_[1711] * vX_[738] + vX_[1637] * vX_[638] + vX_[1825] * vX_[440] + vX_[1874] * vX_[411] + vX_[787] * vX_[439] + vX_[1836] * vX_[454] + vX_[1826] * vX_[466] + vX_[1902] * vX_[388] + vX_[1721] * vX_[392] + vX_[1903] * vX_[382] + vX_[1638] * vX_[400] + vX_[1835] * vX_[428] + vX_[1741] * vX_[457] + vX_[1885] * vX_[427] + vX_[1871] * vX_[424] + vX_[1890] * vX_[702] + vX_[1921] * vX_[697] - (vX_[1506] * vX_[743] + vX_[1888] * vX_[690]) + (vX_[1768] * vX_[738] + (vX_[1807] * vX_[412] + vX_[1605] * vX_[403] + vX_[1684] * vX_[411] + vX_[1872] * vX_[410] + (0 - (vX_[1870] + vX_[1822] * vX_[397] + vX_[1605] * vX_[402])) * 4.027 + vX_[1873] * vX_[387] + vX_[1678] * vX_[382] + vX_[1509] * vX_[389] + vX_[1767] * vX_[423]) * -1 + vX_[1890] * vX_[704]) * -0.08 - (vX_[1783] * vX_[714] + vX_[1908] * vX_[442] + vX_[1913] * vX_[394] + vX_[1846] * vX_[399] + vX_[1876] * vX_[465] + vX_[1860] * vX_[393] + vX_[1867] * vX_[387] + vX_[1911] * vX_[404] + vX_[1875] * vX_[430] + vX_[1741] * vX_[456] + vX_[1909] * vX_[455] + vX_[1922] * vX_[664])) * vX_[1030];
+ vX_[1605] = vX_[1907] + vX_[1769];
+ vX_[2059] = vX_[1886] + vX_[2059] * vX_[435] + vX_[2058] * vX_[449];
+ vX_[2060] = vX_[1886] + vX_[2057] * vX_[449] + vX_[2060] * vX_[447];
+ vX_[2050] = vX_[1962] + vX_[1969] + vX_[1886] - vX_[2059] - vX_[2060] + vX_[1800] * vX_[436] + vX_[2050] * vX_[355];
+ vX_[2060] = vX_[2060] + vX_[1976] * vX_[355] + vX_[2003] * vX_[451] + vX_[1918] * vX_[726];
+ vX_[1976] = vX_[2050] - vX_[2060];
+ vX_[2056] = vX_[2054] * vX_[435] + vX_[2056] * vX_[449] + vX_[1986] * vX_[451] + vX_[1881] * vX_[436] + vX_[2025] * vX_[355] + vX_[1889] * vX_[726];
+ vX_[2025] = vX_[1976] * vX_[383] + vX_[2056] * vX_[395];
+ vX_[1881] = vX_[1976] * vX_[356] + vX_[2056] * vX_[383];
+ vX_[1987] = vX_[1975] + vX_[1987] * vX_[355] + vX_[2007] * vX_[436] * 2. + vX_[1889] * vX_[720];
+ vX_[1975] = 0 - vX_[2056];
+ vX_[1959] = 0 - (vX_[2057] * vX_[435] + vX_[2058] * vX_[447] + vX_[2061] * vX_[449] + vX_[1985] * vX_[355] + vX_[1959] * vX_[436] + vX_[2026] * vX_[451] + vX_[1930] * vX_[726] + vX_[1918] * vX_[723]);
+ vX_[2061] = 0 - vX_[2060];
+ vX_[1997] = vX_[2018] + vX_[1997] * vX_[355] + vX_[2028] * vX_[451] * 2. + vX_[1918] * vX_[720] + vX_[1794] * vX_[726];
+ vX_[2028] = 0 - vX_[1997];
+ vX_[2027] = vX_[2024] + vX_[2019] * vX_[355] + vX_[2027] * vX_[451] + vX_[1918] * vX_[721] + vX_[1935] * vX_[726];
+ vX_[2024] = 0 - vX_[2027];
+ vX_[2019] = (vX_[2061] * vX_[396] + vX_[2028] * vX_[458] + vX_[2024] * vX_[467]) * 1 / vX_[432];
+ vX_[2061] = vX_[1866] * vX_[1824] + vX_[1932] * vX_[710] + vX_[1975] * vX_[445] + vX_[1959] * vX_[433] + vX_[2061] * vX_[461] + vX_[2019];
+ vX_[1977] = vX_[1799] + vX_[1887] * vX_[436] + vX_[1977] * vX_[355] * 2. + vX_[1889] * vX_[721];
+ vX_[2050] = 0 - vX_[2050];
+ vX_[2055] = 0 - (0 - (vX_[2054] * vX_[449] + vX_[2055] * vX_[447]) + vX_[2011] * vX_[451] + vX_[2051] * vX_[355] + vX_[1973] * vX_[436] + vX_[1889] * vX_[723]);
+ vX_[1973] = 0 - vX_[1987];
+ vX_[2054] = 0 - vX_[1977];
+ vX_[1975] = (vX_[2050] * vX_[444] + vX_[2055] * vX_[406] + vX_[1975] * vX_[396] + vX_[1973] * vX_[458] + vX_[2054] * vX_[467]) * 1 / vX_[432];
+ vX_[2050] = vX_[1819] * vX_[1753] + vX_[1790] * vX_[710] + vX_[2050] * vX_[445] + vX_[1975];
+ vX_[1819] = vX_[2061] * vX_[395] + vX_[2050] * vX_[383];
+ vX_[2051] = vX_[2061] * vX_[383] + vX_[2050] * vX_[356];
+ vX_[2011] = vX_[1977] * vX_[383] + vX_[2027] * vX_[395];
+ vX_[1799] = vX_[1977] * vX_[356] + vX_[2027] * vX_[383];
+ vX_[2023] = vX_[1798] + vX_[2023] * vX_[436] + vX_[2009] * vX_[451] * 2. + vX_[1930] * vX_[721] + vX_[1935] * vX_[723];
+ vX_[1798] = vX_[1997] - vX_[2023];
+ vX_[2059] = 0 - (vX_[2059] + vX_[2035] * vX_[436] + vX_[2021] * vX_[451] + vX_[1930] * vX_[723]);
+ vX_[2022] = 0 - (vX_[2022] + vX_[1988] * vX_[436] + vX_[1887] * vX_[451] + vX_[1930] * vX_[720] + vX_[1794] * vX_[723]);
+ vX_[2023] = 0 - vX_[2023];
+ vX_[1959] = (vX_[2059] * vX_[406] + vX_[1959] * vX_[396] + vX_[2022] * vX_[458] + vX_[2023] * vX_[467]) * 1 / vX_[432];
+ vX_[2059] = 0 - vX_[1987] + vX_[1817] * vX_[1910] + vX_[1931] * vX_[710] + vX_[2055] * vX_[445] + vX_[2059] * vX_[433] + vX_[1959];
+ vX_[2009] = vX_[2009] + vX_[1935] * vX_[721];
+ vX_[2007] = vX_[2007] + vX_[1794] * vX_[720];
+ vX_[2055] = 0 - vX_[2007];
+ vX_[1887] = vX_[1887] + vX_[1794] * vX_[721] + vX_[1935] * vX_[720];
+ vX_[1817] = 0 - vX_[1887];
+ vX_[1988] = (vX_[2055] * vX_[458] + vX_[1817] * vX_[467]) * 1 / vX_[432];
+ vX_[1930] = 0 - vX_[2009];
+ vX_[2035] = vX_[1930] * vX_[467] * 1 / vX_[432];
+ vX_[1959] = 0 - vX_[1869] * vX_[1769] + vX_[1864] * vX_[1907] - vX_[1790] * vX_[689] - vX_[1931] * vX_[707] - vX_[1932] * vX_[493] - vX_[1933] * vX_[971] + vX_[1933] * vX_[710] - vX_[1934] * vX_[744] - vX_[1936] * vX_[729] - vX_[1975] * vX_[445] - vX_[1959] * vX_[433] - vX_[2019] * vX_[461] - vX_[1988] * vX_[513] - vX_[2035] * vX_[522];
+ vX_[1975] = 0 - vX_[2009] + vX_[1959];
+ vX_[2035] = vX_[1859] * vX_[1837] + vX_[1936] * vX_[710] + vX_[2054] * vX_[445] + vX_[2023] * vX_[433] + vX_[2024] * vX_[461] + vX_[1817] * vX_[513] + vX_[1930] * vX_[522] + vX_[2035];
+ vX_[1988] = vX_[1862] * vX_[1757] + vX_[1934] * vX_[710] + vX_[1973] * vX_[445] + vX_[2022] * vX_[433] + vX_[2028] * vX_[461] + vX_[2055] * vX_[513] + vX_[1988];
+ vX_[2055] = vX_[1975] * vX_[383] + vX_[2035] * vX_[395];
+ vX_[2022] = vX_[1975] * vX_[356] + vX_[2035] * vX_[383];
+ vX_[1973] = vX_[2055] * vX_[356] + vX_[2022] * vX_[383];
+ vX_[2028] = vX_[2009] + vX_[2055] * vX_[383];
+ vX_[1934] = vX_[2009] + vX_[2022] * vX_[356];
+ vX_[1959] = vX_[2007] + vX_[2009] + vX_[1959] - vX_[2028] - vX_[1934];
+ vX_[2007] = 0 - vX_[1959];
+ vX_[2009] = (vX_[1987] * vX_[383] + vX_[1997] * vX_[395]) * -1;
+ vX_[1862] = vX_[2009] + vX_[2007] * vX_[397];
+ vX_[1930] = 0 - vX_[1862];
+ vX_[2009] = 0 - (vX_[1798] * vX_[356] + vX_[2059] * vX_[383]) + vX_[2009];
+ vX_[1817] = (vX_[1987] * vX_[356] + vX_[1997] * vX_[383]) * -1;
+ vX_[2023] = vX_[1817] + vX_[1959] * vX_[402];
+ vX_[2054] = 0 - vX_[2023];
+ vX_[2024] = 0 - (vX_[1887] * vX_[356] + vX_[1988] * vX_[383]) + vX_[1887] * vX_[395] * -1 * 2.;
+ vX_[1936] = 0 - vX_[2024];
+ vX_[1859] = vX_[1887] * vX_[383] + vX_[1988] * vX_[395] + vX_[1887] * vX_[383] * -1 * 2.;
+ vX_[2019] = 0 - vX_[1859];
+ vX_[1933] = 0 - vX_[1934];
+ vX_[1817] = vX_[1798] * vX_[383] + vX_[2059] * vX_[395] + vX_[1817];
+ vX_[1932] = 0 - vX_[1973];
+ vX_[1931] = 0 - vX_[1934];
+ jac[277] = 0 - (vX_[1827] * vX_[1753] + vX_[1681] * vX_[1824] + vX_[1772] * vX_[1605] + vX_[1900] * vX_[1837] + vX_[1889] * vX_[743] + vX_[1918] * vX_[738] + vX_[1793] * vX_[714] + vX_[1935] * vX_[638] + vX_[1976] * vX_[442] + vX_[2056] * vX_[440] + vX_[2025] * vX_[441] + vX_[1881] * vX_[411] + vX_[1987] * vX_[399] + vX_[2061] * vX_[388] + vX_[1977] * vX_[465] + vX_[1997] * vX_[454] + vX_[2050] * vX_[394] + vX_[2027] * vX_[466] + vX_[1819] * vX_[393] + vX_[2051] * vX_[387] + vX_[2011] * vX_[392] + vX_[1799] * vX_[382] + vX_[1798] * vX_[404] + vX_[2059] * vX_[400] + vX_[1975] * vX_[430] + vX_[2035] * vX_[428] + vX_[1887] * vX_[568] + vX_[1887] * vX_[455] + vX_[1988] * vX_[457] + vX_[2055] * vX_[379] + vX_[2022] * vX_[427] + (vX_[1973] * vX_[403] + vX_[2007] * vX_[413] + vX_[2028] * vX_[398] + vX_[1930] * vX_[409] + (vX_[2009] + vX_[2028] * vX_[397]) * 4.027 + vX_[2054] * vX_[411] + vX_[1936] * vX_[393] + vX_[2019] * vX_[392] + vX_[1973] * vX_[377] + vX_[2028] * vX_[429]) * -0.08 + vX_[2038] * vX_[702] + vX_[2040] * vX_[690] + vX_[2070] * vX_[697] + vX_[2069] * vX_[664] + (vX_[1827] * vX_[1757] + vX_[1794] * vX_[743] + vX_[2038] * vX_[704]) * -0.08) * vX_[773] + (vX_[1681] * vX_[1753] + vX_[1900] * vX_[1605] + vX_[1889] * vX_[738] + vX_[1793] * vX_[638] + vX_[1976] * vX_[440] + vX_[2025] * vX_[411] + vX_[1881] * vX_[439] + vX_[1987] * vX_[454] + vX_[1977] * vX_[466] + vX_[2050] * vX_[388] + vX_[1819] * vX_[392] + vX_[2051] * vX_[382] + vX_[1798] * vX_[400] + vX_[1975] * vX_[428] + vX_[1887] * vX_[457] + vX_[2055] * vX_[427] + vX_[2022] * vX_[424] + vX_[2040] * vX_[702] + vX_[2069] * vX_[697] - (vX_[1827] * vX_[1824] + vX_[1918] * vX_[743] + vX_[2038] * vX_[690]) + (vX_[1681] * vX_[1757] + vX_[1794] * vX_[738] + (vX_[1959] * vX_[412] + vX_[1933] * vX_[403] + vX_[1862] * vX_[411] + vX_[2023] * vX_[410] + (0 - (vX_[1817] + vX_[1973] * vX_[397] + vX_[1933] * vX_[402])) * 4.027 + vX_[2024] * vX_[387] + vX_[1859] * vX_[382] + vX_[1932] * vX_[389] + vX_[1931] * vX_[423]) * -1 + vX_[2040] * vX_[704]) * -0.08 - (vX_[1772] * vX_[1837] + vX_[1935] * vX_[714] + vX_[2056] * vX_[442] + vX_[2061] * vX_[394] + vX_[1997] * vX_[399] + vX_[2027] * vX_[465] + vX_[2011] * vX_[393] + vX_[1799] * vX_[387] + vX_[2059] * vX_[404] + vX_[2035] * vX_[430] + vX_[1887] * vX_[456] + vX_[1988] * vX_[455] + vX_[2070] * vX_[664])) * vX_[1030];
+ vX_[2207] = vX_[2036] + vX_[2207] * vX_[435] + vX_[2206] * vX_[449];
+ vX_[2208] = vX_[2036] + vX_[2205] * vX_[449] + vX_[2208] * vX_[447];
+ vX_[2198] = vX_[2110] + vX_[2117] + vX_[2036] - vX_[2207] - vX_[2208] + vX_[1952] * vX_[436] + vX_[2198] * vX_[355];
+ vX_[2208] = vX_[2208] + vX_[2124] * vX_[355] + vX_[2151] * vX_[451] + vX_[2066] * vX_[726];
+ vX_[2124] = vX_[2198] - vX_[2208];
+ vX_[2204] = vX_[2202] * vX_[435] + vX_[2204] * vX_[449] + vX_[2134] * vX_[451] + vX_[2031] * vX_[436] + vX_[2173] * vX_[355] + vX_[2039] * vX_[726];
+ vX_[2173] = vX_[2124] * vX_[383] + vX_[2204] * vX_[395];
+ vX_[2031] = vX_[2124] * vX_[356] + vX_[2204] * vX_[383];
+ vX_[2135] = vX_[2123] + vX_[2135] * vX_[355] + vX_[2155] * vX_[436] * 2. + vX_[2039] * vX_[720];
+ vX_[2123] = 0 - vX_[2204];
+ vX_[2107] = 0 - (vX_[2205] * vX_[435] + vX_[2206] * vX_[447] + vX_[2209] * vX_[449] + vX_[2133] * vX_[355] + vX_[2107] * vX_[436] + vX_[2174] * vX_[451] + vX_[2078] * vX_[726] + vX_[2066] * vX_[723]);
+ vX_[2209] = 0 - vX_[2208];
+ vX_[2145] = vX_[2166] + vX_[2145] * vX_[355] + vX_[2176] * vX_[451] * 2. + vX_[2066] * vX_[720] + vX_[1946] * vX_[726];
+ vX_[2176] = 0 - vX_[2145];
+ vX_[2175] = vX_[2172] + vX_[2167] * vX_[355] + vX_[2175] * vX_[451] + vX_[2066] * vX_[721] + vX_[2083] * vX_[726];
+ vX_[2172] = 0 - vX_[2175];
+ vX_[2167] = (vX_[2209] * vX_[396] + vX_[2176] * vX_[458] + vX_[2172] * vX_[467]) * 1 / vX_[432];
+ vX_[2209] = vX_[2016] * vX_[1824] + vX_[2080] * vX_[710] + vX_[2123] * vX_[445] + vX_[2107] * vX_[433] + vX_[2209] * vX_[461] + vX_[2167];
+ vX_[2125] = vX_[1951] + vX_[2037] * vX_[436] + vX_[2125] * vX_[355] * 2. + vX_[2039] * vX_[721];
+ vX_[2198] = 0 - vX_[2198];
+ vX_[2203] = 0 - (0 - (vX_[2202] * vX_[449] + vX_[2203] * vX_[447]) + vX_[2159] * vX_[451] + vX_[2199] * vX_[355] + vX_[2121] * vX_[436] + vX_[2039] * vX_[723]);
+ vX_[2121] = 0 - vX_[2135];
+ vX_[2202] = 0 - vX_[2125];
+ vX_[2123] = (vX_[2198] * vX_[444] + vX_[2203] * vX_[406] + vX_[2123] * vX_[396] + vX_[2121] * vX_[458] + vX_[2202] * vX_[467]) * 1 / vX_[432];
+ vX_[2198] = vX_[1970] * vX_[1753] + vX_[1942] * vX_[710] + vX_[2198] * vX_[445] + vX_[2123];
+ vX_[1970] = vX_[2209] * vX_[395] + vX_[2198] * vX_[383];
+ vX_[2199] = vX_[2209] * vX_[383] + vX_[2198] * vX_[356];
+ vX_[2159] = vX_[2125] * vX_[383] + vX_[2175] * vX_[395];
+ vX_[1951] = vX_[2125] * vX_[356] + vX_[2175] * vX_[383];
+ vX_[2171] = vX_[1950] + vX_[2171] * vX_[436] + vX_[2157] * vX_[451] * 2. + vX_[2078] * vX_[721] + vX_[2083] * vX_[723];
+ vX_[1950] = vX_[2145] - vX_[2171];
+ vX_[2207] = 0 - (vX_[2207] + vX_[2183] * vX_[436] + vX_[2169] * vX_[451] + vX_[2078] * vX_[723]);
+ vX_[2170] = 0 - (vX_[2170] + vX_[2136] * vX_[436] + vX_[2037] * vX_[451] + vX_[2078] * vX_[720] + vX_[1946] * vX_[723]);
+ vX_[2171] = 0 - vX_[2171];
+ vX_[2107] = (vX_[2207] * vX_[406] + vX_[2107] * vX_[396] + vX_[2170] * vX_[458] + vX_[2171] * vX_[467]) * 1 / vX_[432];
+ vX_[2207] = 0 - vX_[2135] + vX_[1983] * vX_[1910] + vX_[2079] * vX_[710] + vX_[2203] * vX_[445] + vX_[2207] * vX_[433] + vX_[2107];
+ vX_[2157] = vX_[2157] + vX_[2083] * vX_[721];
+ vX_[2155] = vX_[2155] + vX_[1946] * vX_[720];
+ vX_[2203] = 0 - vX_[2155];
+ vX_[2037] = vX_[2037] + vX_[1946] * vX_[721] + vX_[2083] * vX_[720];
+ vX_[1910] = 0 - vX_[2037];
+ vX_[1983] = (vX_[2203] * vX_[458] + vX_[1910] * vX_[467]) * 1 / vX_[432];
+ vX_[2136] = 0 - vX_[2157];
+ vX_[2078] = vX_[2136] * vX_[467] * 1 / vX_[432];
+ vX_[2107] = 0 - vX_[1968] * vX_[1769] + vX_[2014] * vX_[1907] - vX_[1942] * vX_[689] - vX_[2079] * vX_[707] - vX_[2080] * vX_[493] - vX_[2081] * vX_[971] + vX_[2081] * vX_[710] - vX_[2082] * vX_[744] - vX_[2084] * vX_[729] - vX_[2123] * vX_[445] - vX_[2107] * vX_[433] - vX_[2167] * vX_[461] - vX_[1983] * vX_[513] - vX_[2078] * vX_[522];
+ vX_[2123] = 0 - vX_[2157] + vX_[2107];
+ vX_[2078] = vX_[2010] * vX_[1837] + vX_[2084] * vX_[710] + vX_[2202] * vX_[445] + vX_[2171] * vX_[433] + vX_[2172] * vX_[461] + vX_[1910] * vX_[513] + vX_[2136] * vX_[522] + vX_[2078];
+ vX_[1983] = vX_[2012] * vX_[1757] + vX_[2082] * vX_[710] + vX_[2121] * vX_[445] + vX_[2170] * vX_[433] + vX_[2176] * vX_[461] + vX_[2203] * vX_[513] + vX_[1983];
+ vX_[2203] = vX_[2123] * vX_[383] + vX_[2078] * vX_[395];
+ vX_[2170] = vX_[2123] * vX_[356] + vX_[2078] * vX_[383];
+ vX_[2121] = vX_[2203] * vX_[356] + vX_[2170] * vX_[383];
+ vX_[2176] = vX_[2157] + vX_[2203] * vX_[383];
+ vX_[2082] = vX_[2157] + vX_[2170] * vX_[356];
+ vX_[2107] = vX_[2155] + vX_[2157] + vX_[2107] - vX_[2176] - vX_[2082];
+ vX_[2155] = 0 - vX_[2107];
+ vX_[2157] = (vX_[2135] * vX_[383] + vX_[2145] * vX_[395]) * -1;
+ vX_[2012] = vX_[2157] + vX_[2155] * vX_[397];
+ vX_[2136] = 0 - vX_[2012];
+ vX_[2157] = 0 - (vX_[1950] * vX_[356] + vX_[2207] * vX_[383]) + vX_[2157];
+ vX_[1910] = (vX_[2135] * vX_[356] + vX_[2145] * vX_[383]) * -1;
+ vX_[2171] = vX_[1910] + vX_[2107] * vX_[402];
+ vX_[2202] = 0 - vX_[2171];
+ vX_[2172] = 0 - (vX_[2037] * vX_[356] + vX_[1983] * vX_[383]) + vX_[2037] * vX_[395] * -1 * 2.;
+ vX_[2084] = 0 - vX_[2172];
+ vX_[2010] = vX_[2037] * vX_[383] + vX_[1983] * vX_[395] + vX_[2037] * vX_[383] * -1 * 2.;
+ vX_[2167] = 0 - vX_[2010];
+ vX_[1769] = 0 - vX_[2082];
+ vX_[1910] = vX_[1950] * vX_[383] + vX_[2207] * vX_[395] + vX_[1910];
+ vX_[2081] = 0 - vX_[2121];
+ vX_[2080] = 0 - vX_[2082];
+ jac[278] = 0 - (vX_[1998] * vX_[1753] + vX_[2017] * vX_[1824] + vX_[2049] * vX_[1605] + vX_[2008] * vX_[1837] + vX_[2039] * vX_[743] + vX_[2066] * vX_[738] + vX_[1945] * vX_[714] + vX_[2083] * vX_[638] + vX_[2124] * vX_[442] + vX_[2204] * vX_[440] + vX_[2173] * vX_[441] + vX_[2031] * vX_[411] + vX_[2135] * vX_[399] + vX_[2209] * vX_[388] + vX_[2125] * vX_[465] + vX_[2145] * vX_[454] + vX_[2198] * vX_[394] + vX_[2175] * vX_[466] + vX_[1970] * vX_[393] + vX_[2199] * vX_[387] + vX_[2159] * vX_[392] + vX_[1951] * vX_[382] + vX_[1950] * vX_[404] + vX_[2207] * vX_[400] + vX_[2123] * vX_[430] + vX_[2078] * vX_[428] + vX_[2037] * vX_[568] + vX_[2037] * vX_[455] + vX_[1983] * vX_[457] + vX_[2203] * vX_[379] + vX_[2170] * vX_[427] + (vX_[2121] * vX_[403] + vX_[2155] * vX_[413] + vX_[2176] * vX_[398] + vX_[2136] * vX_[409] + (vX_[2157] + vX_[2176] * vX_[397]) * 4.027 + vX_[2202] * vX_[411] + vX_[2084] * vX_[393] + vX_[2167] * vX_[392] + vX_[2121] * vX_[377] + vX_[2176] * vX_[429]) * -0.08 + vX_[2186] * vX_[702] + vX_[2188] * vX_[690] + vX_[2218] * vX_[697] + vX_[2217] * vX_[664] + (vX_[1998] * vX_[1757] + vX_[1946] * vX_[743] + vX_[2186] * vX_[704]) * -0.08) * vX_[773] + (vX_[2017] * vX_[1753] + vX_[2008] * vX_[1605] + vX_[2039] * vX_[738] + vX_[1945] * vX_[638] + vX_[2124] * vX_[440] + vX_[2173] * vX_[411] + vX_[2031] * vX_[439] + vX_[2135] * vX_[454] + vX_[2125] * vX_[466] + vX_[2198] * vX_[388] + vX_[1970] * vX_[392] + vX_[2199] * vX_[382] + vX_[1950] * vX_[400] + vX_[2123] * vX_[428] + vX_[2037] * vX_[457] + vX_[2203] * vX_[427] + vX_[2170] * vX_[424] + vX_[2188] * vX_[702] + vX_[2217] * vX_[697] - (vX_[1998] * vX_[1824] + vX_[2066] * vX_[743] + vX_[2186] * vX_[690]) + (vX_[2017] * vX_[1757] + vX_[1946] * vX_[738] + (vX_[2107] * vX_[412] + vX_[1769] * vX_[403] + vX_[2012] * vX_[411] + vX_[2171] * vX_[410] + (0 - (vX_[1910] + vX_[2121] * vX_[397] + vX_[1769] * vX_[402])) * 4.027 + vX_[2172] * vX_[387] + vX_[2010] * vX_[382] + vX_[2081] * vX_[389] + vX_[2080] * vX_[423]) * -1 + vX_[2188] * vX_[704]) * -0.08 - (vX_[2049] * vX_[1837] + vX_[2083] * vX_[714] + vX_[2204] * vX_[442] + vX_[2209] * vX_[394] + vX_[2145] * vX_[399] + vX_[2175] * vX_[465] + vX_[2159] * vX_[393] + vX_[1951] * vX_[387] + vX_[2207] * vX_[404] + vX_[2078] * vX_[430] + vX_[2037] * vX_[456] + vX_[1983] * vX_[455] + vX_[2218] * vX_[664])) * vX_[1030];
+ vX_[2345] = vX_[1949] + vX_[2345] * vX_[435] + vX_[2344] * vX_[449];
+ vX_[2346] = vX_[1949] + vX_[2343] * vX_[449] + vX_[2346] * vX_[447];
+ vX_[2336] = vX_[2248] + vX_[2255] + vX_[1949] - vX_[2345] - vX_[2346] + vX_[2154] * vX_[436] + vX_[2336] * vX_[355];
+ vX_[2346] = vX_[2346] + vX_[2262] * vX_[355] + vX_[2289] * vX_[451] + vX_[2185] * vX_[726];
+ vX_[2262] = vX_[2336] - vX_[2346];
+ vX_[2342] = vX_[2340] * vX_[435] + vX_[2342] * vX_[449] + vX_[2272] * vX_[451] + vX_[2216] * vX_[436] + vX_[2311] * vX_[355] + vX_[2053] * vX_[726];
+ vX_[2311] = vX_[2262] * vX_[383] + vX_[2342] * vX_[395];
+ vX_[2216] = vX_[2262] * vX_[356] + vX_[2342] * vX_[383];
+ vX_[2273] = vX_[2261] + vX_[2273] * vX_[355] + vX_[2293] * vX_[436] * 2. + vX_[2053] * vX_[720];
+ vX_[2261] = 0 - vX_[2342];
+ vX_[2245] = 0 - (vX_[2343] * vX_[435] + vX_[2344] * vX_[447] + vX_[2347] * vX_[449] + vX_[2271] * vX_[355] + vX_[2245] * vX_[436] + vX_[2312] * vX_[451] + vX_[2214] * vX_[726] + vX_[2185] * vX_[723]);
+ vX_[2347] = 0 - vX_[2346];
+ vX_[2283] = vX_[2304] + vX_[2283] * vX_[355] + vX_[2314] * vX_[451] * 2. + vX_[2185] * vX_[720] + vX_[2215] * vX_[726];
+ vX_[2314] = 0 - vX_[2283];
+ vX_[2313] = vX_[2310] + vX_[2305] * vX_[355] + vX_[2313] * vX_[451] + vX_[2185] * vX_[721] + vX_[2212] * vX_[726];
+ vX_[2310] = 0 - vX_[2313];
+ vX_[2305] = (vX_[2347] * vX_[396] + vX_[2314] * vX_[458] + vX_[2310] * vX_[467]) * 1 / vX_[432];
+ vX_[2347] = vX_[2180] * vX_[710] + vX_[2261] * vX_[445] + vX_[2245] * vX_[433] + vX_[2347] * vX_[461] + vX_[2305];
+ vX_[2263] = vX_[2184] + vX_[2015] * vX_[436] + vX_[2263] * vX_[355] * 2. + vX_[2053] * vX_[721];
+ vX_[2336] = 0 - vX_[2336];
+ vX_[2341] = 0 - (0 - (vX_[2340] * vX_[449] + vX_[2341] * vX_[447]) + vX_[2297] * vX_[451] + vX_[2337] * vX_[355] + vX_[2259] * vX_[436] + vX_[2053] * vX_[723]);
+ vX_[2259] = 0 - vX_[2273];
+ vX_[2340] = 0 - vX_[2263];
+ vX_[2261] = (vX_[2336] * vX_[444] + vX_[2341] * vX_[406] + vX_[2261] * vX_[396] + vX_[2259] * vX_[458] + vX_[2340] * vX_[467]) * 1 / vX_[432];
+ vX_[2336] = vX_[2096] * vX_[710] + vX_[2336] * vX_[445] + vX_[2261];
+ vX_[2337] = vX_[2347] * vX_[395] + vX_[2336] * vX_[383];
+ vX_[2297] = vX_[2347] * vX_[383] + vX_[2336] * vX_[356];
+ vX_[2184] = vX_[2263] * vX_[383] + vX_[2313] * vX_[395];
+ vX_[2304] = vX_[2263] * vX_[356] + vX_[2313] * vX_[383];
+ vX_[2309] = vX_[2219] + vX_[2309] * vX_[436] + vX_[2295] * vX_[451] * 2. + vX_[2214] * vX_[721] + vX_[2212] * vX_[723];
+ vX_[2219] = vX_[2283] - vX_[2309];
+ vX_[2345] = 0 - (vX_[2345] + vX_[2321] * vX_[436] + vX_[2307] * vX_[451] + vX_[2214] * vX_[723]);
+ vX_[2308] = 0 - (vX_[2308] + vX_[2274] * vX_[436] + vX_[2015] * vX_[451] + vX_[2214] * vX_[720] + vX_[2215] * vX_[723]);
+ vX_[2309] = 0 - vX_[2309];
+ vX_[2245] = (vX_[2345] * vX_[406] + vX_[2245] * vX_[396] + vX_[2308] * vX_[458] + vX_[2309] * vX_[467]) * 1 / vX_[432];
+ vX_[2345] = 0 - vX_[2273] + vX_[2094] * vX_[710] + vX_[2341] * vX_[445] + vX_[2345] * vX_[433] + vX_[2245];
+ vX_[2295] = vX_[2295] + vX_[2212] * vX_[721];
+ vX_[2293] = vX_[2293] + vX_[2215] * vX_[720];
+ vX_[2341] = 0 - vX_[2293];
+ vX_[2015] = vX_[2015] + vX_[2215] * vX_[721] + vX_[2212] * vX_[720];
+ vX_[2274] = 0 - vX_[2015];
+ vX_[2214] = (vX_[2341] * vX_[458] + vX_[2274] * vX_[467]) * 1 / vX_[432];
+ vX_[2321] = 0 - vX_[2295];
+ vX_[2307] = vX_[2321] * vX_[467] * 1 / vX_[432];
+ vX_[2245] = 0 - vX_[2096] * vX_[689] - vX_[2094] * vX_[707] - vX_[2180] * vX_[493] - vX_[2092] * vX_[971] + vX_[2092] * vX_[710] - vX_[2089] * vX_[744] - vX_[2210] * vX_[729] - vX_[2261] * vX_[445] - vX_[2245] * vX_[433] - vX_[2305] * vX_[461] - vX_[2214] * vX_[513] - vX_[2307] * vX_[522];
+ vX_[2261] = 0 - vX_[2295] + vX_[2245];
+ vX_[2307] = vX_[2210] * vX_[710] + vX_[2340] * vX_[445] + vX_[2309] * vX_[433] + vX_[2310] * vX_[461] + vX_[2274] * vX_[513] + vX_[2321] * vX_[522] + vX_[2307];
+ vX_[2214] = vX_[2089] * vX_[710] + vX_[2259] * vX_[445] + vX_[2308] * vX_[433] + vX_[2314] * vX_[461] + vX_[2341] * vX_[513] + vX_[2214];
+ vX_[2341] = vX_[2261] * vX_[383] + vX_[2307] * vX_[395];
+ vX_[2308] = vX_[2261] * vX_[356] + vX_[2307] * vX_[383];
+ vX_[2259] = vX_[2341] * vX_[356] + vX_[2308] * vX_[383];
+ vX_[2314] = vX_[2295] + vX_[2341] * vX_[383];
+ vX_[2089] = vX_[2295] + vX_[2308] * vX_[356];
+ vX_[2245] = vX_[2293] + vX_[2295] + vX_[2245] - vX_[2314] - vX_[2089];
+ vX_[2293] = 0 - vX_[2245];
+ vX_[2295] = (vX_[2273] * vX_[383] + vX_[2283] * vX_[395]) * -1;
+ vX_[2321] = vX_[2295] + vX_[2293] * vX_[397];
+ vX_[2274] = 0 - vX_[2321];
+ vX_[2295] = 0 - (vX_[2219] * vX_[356] + vX_[2345] * vX_[383]) + vX_[2295];
+ vX_[2309] = (vX_[2273] * vX_[356] + vX_[2283] * vX_[383]) * -1;
+ vX_[2340] = vX_[2309] + vX_[2245] * vX_[402];
+ vX_[2310] = 0 - vX_[2340];
+ vX_[2210] = 0 - (vX_[2015] * vX_[356] + vX_[2214] * vX_[383]) + vX_[2015] * vX_[395] * -1 * 2.;
+ vX_[2305] = 0 - vX_[2210];
+ vX_[2092] = vX_[2015] * vX_[383] + vX_[2214] * vX_[395] + vX_[2015] * vX_[383] * -1 * 2.;
+ vX_[2180] = 0 - vX_[2092];
+ vX_[2094] = 0 - vX_[2089];
+ vX_[2309] = vX_[2219] * vX_[383] + vX_[2345] * vX_[395] + vX_[2309];
+ vX_[2096] = 0 - vX_[2259];
+ vX_[2344] = 0 - vX_[2089];
+ jac[279] = 0 - (vX_[2053] * vX_[743] + vX_[2185] * vX_[738] + vX_[2098] * vX_[714] + vX_[2212] * vX_[638] + vX_[2262] * vX_[442] + vX_[2342] * vX_[440] + vX_[2311] * vX_[441] + vX_[2216] * vX_[411] + vX_[2273] * vX_[399] + vX_[2347] * vX_[388] + vX_[2263] * vX_[465] + vX_[2283] * vX_[454] + vX_[2336] * vX_[394] + vX_[2313] * vX_[466] + vX_[2337] * vX_[393] + vX_[2297] * vX_[387] + vX_[2184] * vX_[392] + vX_[2304] * vX_[382] + vX_[2219] * vX_[404] + vX_[2345] * vX_[400] + vX_[2261] * vX_[430] + vX_[2307] * vX_[428] + vX_[2015] * vX_[568] + vX_[2015] * vX_[455] + vX_[2214] * vX_[457] + vX_[2341] * vX_[379] + vX_[2308] * vX_[427] + (vX_[2259] * vX_[403] + vX_[2293] * vX_[413] + vX_[2314] * vX_[398] + vX_[2274] * vX_[409] + (vX_[2295] + vX_[2314] * vX_[397]) * 4.027 + vX_[2310] * vX_[411] + vX_[2305] * vX_[393] + vX_[2180] * vX_[392] + vX_[2259] * vX_[377] + vX_[2314] * vX_[429]) * -0.08 + vX_[2324] * vX_[702] + vX_[2326] * vX_[690] + vX_[2356] * vX_[697] + vX_[2355] * vX_[664] + (vX_[2215] * vX_[743] + vX_[2324] * vX_[704]) * -0.08) * vX_[773] + (vX_[2053] * vX_[738] + vX_[2098] * vX_[638] + vX_[2262] * vX_[440] + vX_[2311] * vX_[411] + vX_[2216] * vX_[439] + vX_[2273] * vX_[454] + vX_[2263] * vX_[466] + vX_[2336] * vX_[388] + vX_[2337] * vX_[392] + vX_[2297] * vX_[382] + vX_[2219] * vX_[400] + vX_[2261] * vX_[428] + vX_[2015] * vX_[457] + vX_[2341] * vX_[427] + vX_[2308] * vX_[424] + vX_[2326] * vX_[702] + vX_[2355] * vX_[697] - (vX_[2185] * vX_[743] + vX_[2324] * vX_[690]) + (vX_[2215] * vX_[738] + (vX_[2245] * vX_[412] + vX_[2094] * vX_[403] + vX_[2321] * vX_[411] + vX_[2340] * vX_[410] + (0 - (vX_[2309] + vX_[2259] * vX_[397] + vX_[2094] * vX_[402])) * 4.027 + vX_[2210] * vX_[387] + vX_[2092] * vX_[382] + vX_[2096] * vX_[389] + vX_[2344] * vX_[423]) * -1 + vX_[2326] * vX_[704]) * -0.08 - (vX_[2212] * vX_[714] + vX_[2342] * vX_[442] + vX_[2347] * vX_[394] + vX_[2283] * vX_[399] + vX_[2313] * vX_[465] + vX_[2184] * vX_[393] + vX_[2304] * vX_[387] + vX_[2345] * vX_[404] + vX_[2307] * vX_[430] + vX_[2015] * vX_[456] + vX_[2214] * vX_[455] + vX_[2356] * vX_[664])) * vX_[1030];
+ vX_[2497] = vX_[2325] + vX_[2497] * vX_[435] + vX_[2496] * vX_[449];
+ vX_[2498] = vX_[2325] + vX_[2495] * vX_[449] + vX_[2498] * vX_[447];
+ vX_[2488] = vX_[2400] + vX_[2407] + vX_[2325] - vX_[2497] - vX_[2498] + vX_[2236] * vX_[436] + vX_[2488] * vX_[355];
+ vX_[2498] = vX_[2498] + vX_[2414] * vX_[355] + vX_[2441] * vX_[451] + vX_[2227] * vX_[726];
+ vX_[2414] = vX_[2488] - vX_[2498];
+ vX_[2494] = vX_[2492] * vX_[435] + vX_[2494] * vX_[449] + vX_[2424] * vX_[451] + vX_[2232] * vX_[436] + vX_[2463] * vX_[355] + vX_[2239] * vX_[726];
+ vX_[2463] = vX_[2414] * vX_[383] + vX_[2494] * vX_[395];
+ vX_[2232] = vX_[2414] * vX_[356] + vX_[2494] * vX_[383];
+ vX_[2425] = vX_[2413] + vX_[2425] * vX_[355] + vX_[2445] * vX_[436] * 2. + vX_[2239] * vX_[720];
+ vX_[2413] = 0 - vX_[2494];
+ vX_[2397] = 0 - (vX_[2495] * vX_[435] + vX_[2496] * vX_[447] + vX_[2499] * vX_[449] + vX_[2423] * vX_[355] + vX_[2397] * vX_[436] + vX_[2464] * vX_[451] + vX_[2368] * vX_[726] + vX_[2227] * vX_[723]);
+ vX_[2499] = 0 - vX_[2498];
+ vX_[2435] = vX_[2456] + vX_[2435] * vX_[355] + vX_[2466] * vX_[451] * 2. + vX_[2227] * vX_[720] + vX_[2350] * vX_[726];
+ vX_[2466] = 0 - vX_[2435];
+ vX_[2465] = vX_[2462] + vX_[2457] * vX_[355] + vX_[2465] * vX_[451] + vX_[2227] * vX_[721] + vX_[2373] * vX_[726];
+ vX_[2462] = 0 - vX_[2465];
+ vX_[2457] = (vX_[2499] * vX_[396] + vX_[2466] * vX_[458] + vX_[2462] * vX_[467]) * 1 / vX_[432];
+ vX_[2499] = vX_[2370] * vX_[710] + vX_[2413] * vX_[445] + vX_[2397] * vX_[433] + vX_[2499] * vX_[461] + vX_[2457];
+ vX_[2415] = vX_[2234] + vX_[2238] * vX_[436] + vX_[2415] * vX_[355] * 2. + vX_[2239] * vX_[721];
+ vX_[2488] = 0 - vX_[2488];
+ vX_[2493] = 0 - (0 - (vX_[2492] * vX_[449] + vX_[2493] * vX_[447]) + vX_[2449] * vX_[451] + vX_[2489] * vX_[355] + vX_[2411] * vX_[436] + vX_[2239] * vX_[723]);
+ vX_[2411] = 0 - vX_[2425];
+ vX_[2492] = 0 - vX_[2415];
+ vX_[2413] = (vX_[2488] * vX_[444] + vX_[2493] * vX_[406] + vX_[2413] * vX_[396] + vX_[2411] * vX_[458] + vX_[2492] * vX_[467]) * 1 / vX_[432];
+ vX_[2488] = vX_[2367] * vX_[710] + vX_[2488] * vX_[445] + vX_[2413];
+ vX_[2489] = vX_[2499] * vX_[395] + vX_[2488] * vX_[383];
+ vX_[2449] = vX_[2499] * vX_[383] + vX_[2488] * vX_[356];
+ vX_[2234] = vX_[2415] * vX_[383] + vX_[2465] * vX_[395];
+ vX_[2456] = vX_[2415] * vX_[356] + vX_[2465] * vX_[383];
+ vX_[2461] = vX_[2318] + vX_[2461] * vX_[436] + vX_[2447] * vX_[451] * 2. + vX_[2368] * vX_[721] + vX_[2373] * vX_[723];
+ vX_[2318] = vX_[2435] - vX_[2461];
+ vX_[2497] = 0 - (vX_[2497] + vX_[2473] * vX_[436] + vX_[2459] * vX_[451] + vX_[2368] * vX_[723]);
+ vX_[2460] = 0 - (vX_[2460] + vX_[2426] * vX_[436] + vX_[2238] * vX_[451] + vX_[2368] * vX_[720] + vX_[2350] * vX_[723]);
+ vX_[2461] = 0 - vX_[2461];
+ vX_[2397] = (vX_[2497] * vX_[406] + vX_[2397] * vX_[396] + vX_[2460] * vX_[458] + vX_[2461] * vX_[467]) * 1 / vX_[432];
+ vX_[2497] = 0 - vX_[2425] + vX_[2369] * vX_[710] + vX_[2493] * vX_[445] + vX_[2497] * vX_[433] + vX_[2397];
+ vX_[2447] = vX_[2447] + vX_[2373] * vX_[721];
+ vX_[2445] = vX_[2445] + vX_[2350] * vX_[720];
+ vX_[2493] = 0 - vX_[2445];
+ vX_[2238] = vX_[2238] + vX_[2350] * vX_[721] + vX_[2373] * vX_[720];
+ vX_[2426] = 0 - vX_[2238];
+ vX_[2368] = (vX_[2493] * vX_[458] + vX_[2426] * vX_[467]) * 1 / vX_[432];
+ vX_[2473] = 0 - vX_[2447];
+ vX_[2459] = vX_[2473] * vX_[467] * 1 / vX_[432];
+ vX_[2397] = 0 - vX_[2367] * vX_[689] - vX_[2369] * vX_[707] - vX_[2370] * vX_[493] - vX_[2371] * vX_[971] + vX_[2371] * vX_[710] - vX_[2372] * vX_[744] - vX_[2374] * vX_[729] - vX_[2413] * vX_[445] - vX_[2397] * vX_[433] - vX_[2457] * vX_[461] - vX_[2368] * vX_[513] - vX_[2459] * vX_[522];
+ vX_[2413] = 0 - vX_[2447] + vX_[2397];
+ vX_[2459] = vX_[2374] * vX_[710] + vX_[2492] * vX_[445] + vX_[2461] * vX_[433] + vX_[2462] * vX_[461] + vX_[2426] * vX_[513] + vX_[2473] * vX_[522] + vX_[2459];
+ vX_[2368] = vX_[2372] * vX_[710] + vX_[2411] * vX_[445] + vX_[2460] * vX_[433] + vX_[2466] * vX_[461] + vX_[2493] * vX_[513] + vX_[2368];
+ vX_[2493] = vX_[2413] * vX_[383] + vX_[2459] * vX_[395];
+ vX_[2460] = vX_[2413] * vX_[356] + vX_[2459] * vX_[383];
+ vX_[2411] = vX_[2493] * vX_[356] + vX_[2460] * vX_[383];
+ vX_[2466] = vX_[2447] + vX_[2493] * vX_[383];
+ vX_[2372] = vX_[2447] + vX_[2460] * vX_[356];
+ vX_[2397] = vX_[2445] + vX_[2447] + vX_[2397] - vX_[2466] - vX_[2372];
+ vX_[2445] = 0 - vX_[2397];
+ vX_[2447] = (vX_[2425] * vX_[383] + vX_[2435] * vX_[395]) * -1;
+ vX_[2473] = vX_[2447] + vX_[2445] * vX_[397];
+ vX_[2426] = 0 - vX_[2473];
+ vX_[2447] = 0 - (vX_[2318] * vX_[356] + vX_[2497] * vX_[383]) + vX_[2447];
+ vX_[2461] = (vX_[2425] * vX_[356] + vX_[2435] * vX_[383]) * -1;
+ vX_[2492] = vX_[2461] + vX_[2397] * vX_[402];
+ vX_[2462] = 0 - vX_[2492];
+ vX_[2374] = 0 - (vX_[2238] * vX_[356] + vX_[2368] * vX_[383]) + vX_[2238] * vX_[395] * -1 * 2.;
+ vX_[2457] = 0 - vX_[2374];
+ vX_[2371] = vX_[2238] * vX_[383] + vX_[2368] * vX_[395] + vX_[2238] * vX_[383] * -1 * 2.;
+ vX_[2370] = 0 - vX_[2371];
+ vX_[2369] = 0 - vX_[2372];
+ vX_[2461] = vX_[2318] * vX_[383] + vX_[2497] * vX_[395] + vX_[2461];
+ vX_[2367] = 0 - vX_[2411];
+ vX_[2496] = 0 - vX_[2372];
+ jac[280] = 0 - (vX_[2239] * vX_[743] + vX_[2227] * vX_[738] + vX_[2366] * vX_[714] + vX_[2373] * vX_[638] + vX_[2414] * vX_[442] + vX_[2494] * vX_[440] + vX_[2463] * vX_[441] + vX_[2232] * vX_[411] + vX_[2425] * vX_[399] + vX_[2499] * vX_[388] + vX_[2415] * vX_[465] + vX_[2435] * vX_[454] + vX_[2488] * vX_[394] + vX_[2465] * vX_[466] + vX_[2489] * vX_[393] + vX_[2449] * vX_[387] + vX_[2234] * vX_[392] + vX_[2456] * vX_[382] + vX_[2318] * vX_[404] + vX_[2497] * vX_[400] + vX_[2413] * vX_[430] + vX_[2459] * vX_[428] + vX_[2238] * vX_[568] + vX_[2238] * vX_[455] + vX_[2368] * vX_[457] + vX_[2493] * vX_[379] + vX_[2460] * vX_[427] + (vX_[2411] * vX_[403] + vX_[2445] * vX_[413] + vX_[2466] * vX_[398] + vX_[2426] * vX_[409] + (vX_[2447] + vX_[2466] * vX_[397]) * 4.027 + vX_[2462] * vX_[411] + vX_[2457] * vX_[393] + vX_[2370] * vX_[392] + vX_[2411] * vX_[377] + vX_[2466] * vX_[429]) * -0.08 + vX_[2476] * vX_[702] + vX_[2478] * vX_[690] + vX_[2508] * vX_[697] + vX_[2507] * vX_[664] + (vX_[2350] * vX_[743] + vX_[2476] * vX_[704]) * -0.08) * vX_[773] + (vX_[2239] * vX_[738] + vX_[2366] * vX_[638] + vX_[2414] * vX_[440] + vX_[2463] * vX_[411] + vX_[2232] * vX_[439] + vX_[2425] * vX_[454] + vX_[2415] * vX_[466] + vX_[2488] * vX_[388] + vX_[2489] * vX_[392] + vX_[2449] * vX_[382] + vX_[2318] * vX_[400] + vX_[2413] * vX_[428] + vX_[2238] * vX_[457] + vX_[2493] * vX_[427] + vX_[2460] * vX_[424] + vX_[2478] * vX_[702] + vX_[2507] * vX_[697] - (vX_[2227] * vX_[743] + vX_[2476] * vX_[690]) + (vX_[2350] * vX_[738] + (vX_[2397] * vX_[412] + vX_[2369] * vX_[403] + vX_[2473] * vX_[411] + vX_[2492] * vX_[410] + (0 - (vX_[2461] + vX_[2411] * vX_[397] + vX_[2369] * vX_[402])) * 4.027 + vX_[2374] * vX_[387] + vX_[2371] * vX_[382] + vX_[2367] * vX_[389] + vX_[2496] * vX_[423]) * -1 + vX_[2478] * vX_[704]) * -0.08 - (vX_[2373] * vX_[714] + vX_[2494] * vX_[442] + vX_[2499] * vX_[394] + vX_[2435] * vX_[399] + vX_[2465] * vX_[465] + vX_[2234] * vX_[393] + vX_[2456] * vX_[387] + vX_[2497] * vX_[404] + vX_[2459] * vX_[430] + vX_[2238] * vX_[456] + vX_[2368] * vX_[455] + vX_[2508] * vX_[664])) * vX_[1030];
+ vX_[2649] = vX_[2477] + vX_[2649] * vX_[435] + vX_[2648] * vX_[449];
+ vX_[2650] = vX_[2477] + vX_[2647] * vX_[449] + vX_[2650] * vX_[447];
+ vX_[2640] = vX_[2552] + vX_[2559] + vX_[2477] - vX_[2649] - vX_[2650] + vX_[2388] * vX_[436] + vX_[2640] * vX_[355];
+ vX_[2650] = vX_[2650] + vX_[2566] * vX_[355] + vX_[2593] * vX_[451] + vX_[2379] * vX_[726];
+ vX_[2566] = vX_[2640] - vX_[2650];
+ vX_[2646] = vX_[2644] * vX_[435] + vX_[2646] * vX_[449] + vX_[2576] * vX_[451] + vX_[2384] * vX_[436] + vX_[2615] * vX_[355] + vX_[2391] * vX_[726];
+ vX_[2615] = vX_[2566] * vX_[383] + vX_[2646] * vX_[395];
+ vX_[2384] = vX_[2566] * vX_[356] + vX_[2646] * vX_[383];
+ vX_[2577] = vX_[2565] + vX_[2577] * vX_[355] + vX_[2597] * vX_[436] * 2. + vX_[2391] * vX_[720];
+ vX_[2565] = 0 - vX_[2646];
+ vX_[2549] = 0 - (vX_[2647] * vX_[435] + vX_[2648] * vX_[447] + vX_[2651] * vX_[449] + vX_[2575] * vX_[355] + vX_[2549] * vX_[436] + vX_[2616] * vX_[451] + vX_[2520] * vX_[726] + vX_[2379] * vX_[723]);
+ vX_[2651] = 0 - vX_[2650];
+ vX_[2587] = vX_[2608] + vX_[2587] * vX_[355] + vX_[2618] * vX_[451] * 2. + vX_[2379] * vX_[720] + vX_[2502] * vX_[726];
+ vX_[2618] = 0 - vX_[2587];
+ vX_[2617] = vX_[2614] + vX_[2609] * vX_[355] + vX_[2617] * vX_[451] + vX_[2379] * vX_[721] + vX_[2525] * vX_[726];
+ vX_[2614] = 0 - vX_[2617];
+ vX_[2609] = (vX_[2651] * vX_[396] + vX_[2618] * vX_[458] + vX_[2614] * vX_[467]) * 1 / vX_[432];
+ vX_[2651] = vX_[2522] * vX_[710] + vX_[2565] * vX_[445] + vX_[2549] * vX_[433] + vX_[2651] * vX_[461] + vX_[2609];
+ vX_[2567] = vX_[2386] + vX_[2390] * vX_[436] + vX_[2567] * vX_[355] * 2. + vX_[2391] * vX_[721];
+ vX_[2640] = 0 - vX_[2640];
+ vX_[2645] = 0 - (0 - (vX_[2644] * vX_[449] + vX_[2645] * vX_[447]) + vX_[2601] * vX_[451] + vX_[2641] * vX_[355] + vX_[2563] * vX_[436] + vX_[2391] * vX_[723]);
+ vX_[2563] = 0 - vX_[2577];
+ vX_[2644] = 0 - vX_[2567];
+ vX_[2565] = (vX_[2640] * vX_[444] + vX_[2645] * vX_[406] + vX_[2565] * vX_[396] + vX_[2563] * vX_[458] + vX_[2644] * vX_[467]) * 1 / vX_[432];
+ vX_[2640] = vX_[2519] * vX_[710] + vX_[2640] * vX_[445] + vX_[2565];
+ vX_[2641] = vX_[2651] * vX_[395] + vX_[2640] * vX_[383];
+ vX_[2601] = vX_[2651] * vX_[383] + vX_[2640] * vX_[356];
+ vX_[2386] = vX_[2567] * vX_[383] + vX_[2617] * vX_[395];
+ vX_[2608] = vX_[2567] * vX_[356] + vX_[2617] * vX_[383];
+ vX_[2613] = vX_[2470] + vX_[2613] * vX_[436] + vX_[2599] * vX_[451] * 2. + vX_[2520] * vX_[721] + vX_[2525] * vX_[723];
+ vX_[2470] = vX_[2587] - vX_[2613];
+ vX_[2649] = 0 - (vX_[2649] + vX_[2625] * vX_[436] + vX_[2611] * vX_[451] + vX_[2520] * vX_[723]);
+ vX_[2612] = 0 - (vX_[2612] + vX_[2578] * vX_[436] + vX_[2390] * vX_[451] + vX_[2520] * vX_[720] + vX_[2502] * vX_[723]);
+ vX_[2613] = 0 - vX_[2613];
+ vX_[2549] = (vX_[2649] * vX_[406] + vX_[2549] * vX_[396] + vX_[2612] * vX_[458] + vX_[2613] * vX_[467]) * 1 / vX_[432];
+ vX_[2649] = 0 - vX_[2577] + vX_[2521] * vX_[710] + vX_[2645] * vX_[445] + vX_[2649] * vX_[433] + vX_[2549];
+ vX_[2599] = vX_[2599] + vX_[2525] * vX_[721];
+ vX_[2597] = vX_[2597] + vX_[2502] * vX_[720];
+ vX_[2645] = 0 - vX_[2597];
+ vX_[2390] = vX_[2390] + vX_[2502] * vX_[721] + vX_[2525] * vX_[720];
+ vX_[2578] = 0 - vX_[2390];
+ vX_[2520] = (vX_[2645] * vX_[458] + vX_[2578] * vX_[467]) * 1 / vX_[432];
+ vX_[2625] = 0 - vX_[2599];
+ vX_[2611] = vX_[2625] * vX_[467] * 1 / vX_[432];
+ vX_[2549] = 0 - vX_[2519] * vX_[689] - vX_[2521] * vX_[707] - vX_[2522] * vX_[493] - vX_[2523] * vX_[971] + vX_[2523] * vX_[710] - vX_[2524] * vX_[744] - vX_[2526] * vX_[729] - vX_[2565] * vX_[445] - vX_[2549] * vX_[433] - vX_[2609] * vX_[461] - vX_[2520] * vX_[513] - vX_[2611] * vX_[522];
+ vX_[2565] = 0 - vX_[2599] + vX_[2549];
+ vX_[2611] = vX_[2526] * vX_[710] + vX_[2644] * vX_[445] + vX_[2613] * vX_[433] + vX_[2614] * vX_[461] + vX_[2578] * vX_[513] + vX_[2625] * vX_[522] + vX_[2611];
+ vX_[2520] = vX_[2524] * vX_[710] + vX_[2563] * vX_[445] + vX_[2612] * vX_[433] + vX_[2618] * vX_[461] + vX_[2645] * vX_[513] + vX_[2520];
+ vX_[2645] = vX_[2565] * vX_[383] + vX_[2611] * vX_[395];
+ vX_[2612] = vX_[2565] * vX_[356] + vX_[2611] * vX_[383];
+ vX_[2563] = vX_[2645] * vX_[356] + vX_[2612] * vX_[383];
+ vX_[2618] = vX_[2599] + vX_[2645] * vX_[383];
+ vX_[2524] = vX_[2599] + vX_[2612] * vX_[356];
+ vX_[2549] = vX_[2597] + vX_[2599] + vX_[2549] - vX_[2618] - vX_[2524];
+ vX_[2597] = 0 - vX_[2549];
+ vX_[2599] = (vX_[2577] * vX_[383] + vX_[2587] * vX_[395]) * -1;
+ vX_[2625] = vX_[2599] + vX_[2597] * vX_[397];
+ vX_[2578] = 0 - vX_[2625];
+ vX_[2599] = 0 - (vX_[2470] * vX_[356] + vX_[2649] * vX_[383]) + vX_[2599];
+ vX_[2613] = (vX_[2577] * vX_[356] + vX_[2587] * vX_[383]) * -1;
+ vX_[2644] = vX_[2613] + vX_[2549] * vX_[402];
+ vX_[2614] = 0 - vX_[2644];
+ vX_[2526] = 0 - (vX_[2390] * vX_[356] + vX_[2520] * vX_[383]) + vX_[2390] * vX_[395] * -1 * 2.;
+ vX_[2609] = 0 - vX_[2526];
+ vX_[2523] = vX_[2390] * vX_[383] + vX_[2520] * vX_[395] + vX_[2390] * vX_[383] * -1 * 2.;
+ vX_[2522] = 0 - vX_[2523];
+ vX_[2521] = 0 - vX_[2524];
+ vX_[2613] = vX_[2470] * vX_[383] + vX_[2649] * vX_[395] + vX_[2613];
+ vX_[2519] = 0 - vX_[2563];
+ vX_[2648] = 0 - vX_[2524];
+ jac[281] = 0 - (vX_[2391] * vX_[743] + vX_[2379] * vX_[738] + vX_[2518] * vX_[714] + vX_[2525] * vX_[638] + vX_[2566] * vX_[442] + vX_[2646] * vX_[440] + vX_[2615] * vX_[441] + vX_[2384] * vX_[411] + vX_[2577] * vX_[399] + vX_[2651] * vX_[388] + vX_[2567] * vX_[465] + vX_[2587] * vX_[454] + vX_[2640] * vX_[394] + vX_[2617] * vX_[466] + vX_[2641] * vX_[393] + vX_[2601] * vX_[387] + vX_[2386] * vX_[392] + vX_[2608] * vX_[382] + vX_[2470] * vX_[404] + vX_[2649] * vX_[400] + vX_[2565] * vX_[430] + vX_[2611] * vX_[428] + vX_[2390] * vX_[568] + vX_[2390] * vX_[455] + vX_[2520] * vX_[457] + vX_[2645] * vX_[379] + vX_[2612] * vX_[427] + (vX_[2563] * vX_[403] + vX_[2597] * vX_[413] + vX_[2618] * vX_[398] + vX_[2578] * vX_[409] + (vX_[2599] + vX_[2618] * vX_[397]) * 4.027 + vX_[2614] * vX_[411] + vX_[2609] * vX_[393] + vX_[2522] * vX_[392] + vX_[2563] * vX_[377] + vX_[2618] * vX_[429]) * -0.08 + vX_[2628] * vX_[702] + vX_[2630] * vX_[690] + vX_[2660] * vX_[697] + vX_[2659] * vX_[664] + (vX_[2502] * vX_[743] + vX_[2628] * vX_[704]) * -0.08) * vX_[773] + (vX_[2391] * vX_[738] + vX_[2518] * vX_[638] + vX_[2566] * vX_[440] + vX_[2615] * vX_[411] + vX_[2384] * vX_[439] + vX_[2577] * vX_[454] + vX_[2567] * vX_[466] + vX_[2640] * vX_[388] + vX_[2641] * vX_[392] + vX_[2601] * vX_[382] + vX_[2470] * vX_[400] + vX_[2565] * vX_[428] + vX_[2390] * vX_[457] + vX_[2645] * vX_[427] + vX_[2612] * vX_[424] + vX_[2630] * vX_[702] + vX_[2659] * vX_[697] - (vX_[2379] * vX_[743] + vX_[2628] * vX_[690]) + (vX_[2502] * vX_[738] + (vX_[2549] * vX_[412] + vX_[2521] * vX_[403] + vX_[2625] * vX_[411] + vX_[2644] * vX_[410] + (0 - (vX_[2613] + vX_[2563] * vX_[397] + vX_[2521] * vX_[402])) * 4.027 + vX_[2526] * vX_[387] + vX_[2523] * vX_[382] + vX_[2519] * vX_[389] + vX_[2648] * vX_[423]) * -1 + vX_[2630] * vX_[704]) * -0.08 - (vX_[2525] * vX_[714] + vX_[2646] * vX_[442] + vX_[2651] * vX_[394] + vX_[2587] * vX_[399] + vX_[2617] * vX_[465] + vX_[2386] * vX_[393] + vX_[2608] * vX_[387] + vX_[2649] * vX_[404] + vX_[2611] * vX_[430] + vX_[2390] * vX_[456] + vX_[2520] * vX_[455] + vX_[2660] * vX_[664])) * vX_[1030];
+ vX_[2791] = vX_[2501] + vX_[2791] * vX_[435] + vX_[2790] * vX_[449];
+ vX_[2792] = vX_[2501] + vX_[2789] * vX_[449] + vX_[2792] * vX_[447];
+ vX_[2782] = vX_[2694] + vX_[2701] + vX_[2501] - vX_[2791] - vX_[2792] + vX_[2661] * vX_[436] + vX_[2782] * vX_[355];
+ vX_[2792] = vX_[2792] + vX_[2708] * vX_[355] + vX_[2735] * vX_[451] + vX_[2542] * vX_[726];
+ vX_[2708] = vX_[2782] - vX_[2792];
+ vX_[2788] = vX_[2786] * vX_[435] + vX_[2788] * vX_[449] + vX_[2718] * vX_[451] + vX_[2657] * vX_[436] + vX_[2757] * vX_[355] + vX_[2635] * vX_[726];
+ vX_[2757] = vX_[2708] * vX_[383] + vX_[2788] * vX_[395];
+ vX_[2657] = vX_[2708] * vX_[356] + vX_[2788] * vX_[383];
+ vX_[2719] = vX_[2707] + vX_[2719] * vX_[355] + vX_[2739] * vX_[436] * 2. + vX_[2635] * vX_[720];
+ vX_[2707] = 0 - vX_[2788];
+ vX_[2691] = 0 - (vX_[2789] * vX_[435] + vX_[2790] * vX_[447] + vX_[2793] * vX_[449] + vX_[2717] * vX_[355] + vX_[2691] * vX_[436] + vX_[2758] * vX_[451] + vX_[2531] * vX_[726] + vX_[2542] * vX_[723]);
+ vX_[2793] = 0 - vX_[2792];
+ vX_[2729] = vX_[2750] + vX_[2729] * vX_[355] + vX_[2760] * vX_[451] * 2. + vX_[2542] * vX_[720] + vX_[2541] * vX_[726];
+ vX_[2760] = 0 - vX_[2729];
+ vX_[2759] = vX_[2756] + vX_[2751] * vX_[355] + vX_[2759] * vX_[451] + vX_[2542] * vX_[721] + vX_[2532] * vX_[726];
+ vX_[2756] = 0 - vX_[2759];
+ vX_[2751] = (vX_[2793] * vX_[396] + vX_[2760] * vX_[458] + vX_[2756] * vX_[467]) * 1 / vX_[432];
+ vX_[2793] = vX_[2652] * vX_[710] + vX_[2707] * vX_[445] + vX_[2691] * vX_[433] + vX_[2793] * vX_[461] + vX_[2751];
+ vX_[2709] = vX_[2629] + vX_[2596] * vX_[436] + vX_[2709] * vX_[355] * 2. + vX_[2635] * vX_[721];
+ vX_[2782] = 0 - vX_[2782];
+ vX_[2787] = 0 - (0 - (vX_[2786] * vX_[449] + vX_[2787] * vX_[447]) + vX_[2743] * vX_[451] + vX_[2783] * vX_[355] + vX_[2705] * vX_[436] + vX_[2635] * vX_[723]);
+ vX_[2705] = 0 - vX_[2719];
+ vX_[2786] = 0 - vX_[2709];
+ vX_[2707] = (vX_[2782] * vX_[444] + vX_[2787] * vX_[406] + vX_[2707] * vX_[396] + vX_[2705] * vX_[458] + vX_[2786] * vX_[467]) * 1 / vX_[432];
+ vX_[2782] = vX_[2534] * vX_[710] + vX_[2782] * vX_[445] + vX_[2707];
+ vX_[2783] = vX_[2793] * vX_[395] + vX_[2782] * vX_[383];
+ vX_[2743] = vX_[2793] * vX_[383] + vX_[2782] * vX_[356];
+ vX_[2629] = vX_[2709] * vX_[383] + vX_[2759] * vX_[395];
+ vX_[2750] = vX_[2709] * vX_[356] + vX_[2759] * vX_[383];
+ vX_[2755] = vX_[2539] + vX_[2755] * vX_[436] + vX_[2741] * vX_[451] * 2. + vX_[2531] * vX_[721] + vX_[2532] * vX_[723];
+ vX_[2539] = vX_[2729] - vX_[2755];
+ vX_[2791] = 0 - (vX_[2791] + vX_[2767] * vX_[436] + vX_[2753] * vX_[451] + vX_[2531] * vX_[723]);
+ vX_[2754] = 0 - (vX_[2754] + vX_[2720] * vX_[436] + vX_[2596] * vX_[451] + vX_[2531] * vX_[720] + vX_[2541] * vX_[723]);
+ vX_[2755] = 0 - vX_[2755];
+ vX_[2691] = (vX_[2791] * vX_[406] + vX_[2691] * vX_[396] + vX_[2754] * vX_[458] + vX_[2755] * vX_[467]) * 1 / vX_[432];
+ vX_[2791] = 0 - vX_[2719] + vX_[2654] * vX_[710] + vX_[2787] * vX_[445] + vX_[2791] * vX_[433] + vX_[2691];
+ vX_[2741] = vX_[2741] + vX_[2532] * vX_[721];
+ vX_[2739] = vX_[2739] + vX_[2541] * vX_[720];
+ vX_[2787] = 0 - vX_[2739];
+ vX_[2596] = vX_[2596] + vX_[2541] * vX_[721] + vX_[2532] * vX_[720];
+ vX_[2720] = 0 - vX_[2596];
+ vX_[2531] = (vX_[2787] * vX_[458] + vX_[2720] * vX_[467]) * 1 / vX_[432];
+ vX_[2767] = 0 - vX_[2741];
+ vX_[2753] = vX_[2767] * vX_[467] * 1 / vX_[432];
+ vX_[2691] = 0 - vX_[2534] * vX_[689] - vX_[2654] * vX_[707] - vX_[2652] * vX_[493] - vX_[2537] * vX_[971] + vX_[2537] * vX_[710] - vX_[2535] * vX_[744] - vX_[2668] * vX_[729] - vX_[2707] * vX_[445] - vX_[2691] * vX_[433] - vX_[2751] * vX_[461] - vX_[2531] * vX_[513] - vX_[2753] * vX_[522];
+ vX_[2707] = 0 - vX_[2741] + vX_[2691];
+ vX_[2753] = vX_[2668] * vX_[710] + vX_[2786] * vX_[445] + vX_[2755] * vX_[433] + vX_[2756] * vX_[461] + vX_[2720] * vX_[513] + vX_[2767] * vX_[522] + vX_[2753];
+ vX_[2531] = vX_[2535] * vX_[710] + vX_[2705] * vX_[445] + vX_[2754] * vX_[433] + vX_[2760] * vX_[461] + vX_[2787] * vX_[513] + vX_[2531];
+ vX_[2787] = vX_[2707] * vX_[383] + vX_[2753] * vX_[395];
+ vX_[2754] = vX_[2707] * vX_[356] + vX_[2753] * vX_[383];
+ vX_[2705] = vX_[2787] * vX_[356] + vX_[2754] * vX_[383];
+ vX_[2760] = vX_[2741] + vX_[2787] * vX_[383];
+ vX_[2535] = vX_[2741] + vX_[2754] * vX_[356];
+ vX_[2691] = vX_[2739] + vX_[2741] + vX_[2691] - vX_[2760] - vX_[2535];
+ vX_[2739] = 0 - vX_[2691];
+ vX_[2741] = (vX_[2719] * vX_[383] + vX_[2729] * vX_[395]) * -1;
+ vX_[2767] = vX_[2741] + vX_[2739] * vX_[397];
+ vX_[2720] = 0 - vX_[2767];
+ vX_[2741] = 0 - (vX_[2539] * vX_[356] + vX_[2791] * vX_[383]) + vX_[2741];
+ vX_[2755] = (vX_[2719] * vX_[356] + vX_[2729] * vX_[383]) * -1;
+ vX_[2786] = vX_[2755] + vX_[2691] * vX_[402];
+ vX_[2756] = 0 - vX_[2786];
+ vX_[2668] = 0 - (vX_[2596] * vX_[356] + vX_[2531] * vX_[383]) + vX_[2596] * vX_[395] * -1 * 2.;
+ vX_[2751] = 0 - vX_[2668];
+ vX_[2537] = vX_[2596] * vX_[383] + vX_[2531] * vX_[395] + vX_[2596] * vX_[383] * -1 * 2.;
+ vX_[2652] = 0 - vX_[2537];
+ vX_[2654] = 0 - vX_[2535];
+ vX_[2755] = vX_[2539] * vX_[383] + vX_[2791] * vX_[395] + vX_[2755];
+ vX_[2534] = 0 - vX_[2705];
+ vX_[2790] = 0 - vX_[2535];
+ jac[282] = 0 - (vX_[2635] * vX_[743] + vX_[2542] * vX_[738] + vX_[2622] * vX_[714] + vX_[2532] * vX_[638] + vX_[2708] * vX_[442] + vX_[2788] * vX_[440] + vX_[2757] * vX_[441] + vX_[2657] * vX_[411] + vX_[2719] * vX_[399] + vX_[2793] * vX_[388] + vX_[2709] * vX_[465] + vX_[2729] * vX_[454] + vX_[2782] * vX_[394] + vX_[2759] * vX_[466] + vX_[2783] * vX_[393] + vX_[2743] * vX_[387] + vX_[2629] * vX_[392] + vX_[2750] * vX_[382] + vX_[2539] * vX_[404] + vX_[2791] * vX_[400] + vX_[2707] * vX_[430] + vX_[2753] * vX_[428] + vX_[2596] * vX_[568] + vX_[2596] * vX_[455] + vX_[2531] * vX_[457] + vX_[2787] * vX_[379] + vX_[2754] * vX_[427] + (vX_[2705] * vX_[403] + vX_[2739] * vX_[413] + vX_[2760] * vX_[398] + vX_[2720] * vX_[409] + (vX_[2741] + vX_[2760] * vX_[397]) * 4.027 + vX_[2756] * vX_[411] + vX_[2751] * vX_[393] + vX_[2652] * vX_[392] + vX_[2705] * vX_[377] + vX_[2760] * vX_[429]) * -0.08 + vX_[2770] * vX_[702] + vX_[2772] * vX_[690] + vX_[2802] * vX_[697] + vX_[2801] * vX_[664] + (vX_[2541] * vX_[743] + vX_[2770] * vX_[704]) * -0.08) * vX_[773] + (vX_[2635] * vX_[738] + vX_[2622] * vX_[638] + vX_[2708] * vX_[440] + vX_[2757] * vX_[411] + vX_[2657] * vX_[439] + vX_[2719] * vX_[454] + vX_[2709] * vX_[466] + vX_[2782] * vX_[388] + vX_[2783] * vX_[392] + vX_[2743] * vX_[382] + vX_[2539] * vX_[400] + vX_[2707] * vX_[428] + vX_[2596] * vX_[457] + vX_[2787] * vX_[427] + vX_[2754] * vX_[424] + vX_[2772] * vX_[702] + vX_[2801] * vX_[697] - (vX_[2542] * vX_[743] + vX_[2770] * vX_[690]) + (vX_[2541] * vX_[738] + (vX_[2691] * vX_[412] + vX_[2654] * vX_[403] + vX_[2767] * vX_[411] + vX_[2786] * vX_[410] + (0 - (vX_[2755] + vX_[2705] * vX_[397] + vX_[2654] * vX_[402])) * 4.027 + vX_[2668] * vX_[387] + vX_[2537] * vX_[382] + vX_[2534] * vX_[389] + vX_[2790] * vX_[423]) * -1 + vX_[2772] * vX_[704]) * -0.08 - (vX_[2532] * vX_[714] + vX_[2788] * vX_[442] + vX_[2793] * vX_[394] + vX_[2729] * vX_[399] + vX_[2759] * vX_[465] + vX_[2629] * vX_[393] + vX_[2750] * vX_[387] + vX_[2791] * vX_[404] + vX_[2753] * vX_[430] + vX_[2596] * vX_[456] + vX_[2531] * vX_[455] + vX_[2802] * vX_[664])) * vX_[1030];
+ vX_[2941] = vX_[2800] + vX_[2941] * vX_[435] + vX_[2940] * vX_[449];
+ vX_[2942] = vX_[2800] + vX_[2939] * vX_[449] + vX_[2942] * vX_[447];
+ vX_[2932] = vX_[2844] + vX_[2851] + vX_[2800] - vX_[2941] - vX_[2942] + vX_[2795] * vX_[436] + vX_[2932] * vX_[355];
+ vX_[2942] = vX_[2942] + vX_[2858] * vX_[355] + vX_[2885] * vX_[451] + vX_[2764] * vX_[726];
+ vX_[2858] = vX_[2932] - vX_[2942];
+ vX_[2938] = vX_[2936] * vX_[435] + vX_[2938] * vX_[449] + vX_[2868] * vX_[451] + vX_[2680] * vX_[436] + vX_[2907] * vX_[355] + vX_[2799] * vX_[726];
+ vX_[2907] = vX_[2858] * vX_[383] + vX_[2938] * vX_[395];
+ vX_[2680] = vX_[2858] * vX_[356] + vX_[2938] * vX_[383];
+ vX_[2869] = vX_[2857] + vX_[2869] * vX_[355] + vX_[2889] * vX_[436] * 2. + vX_[2799] * vX_[720];
+ vX_[2857] = 0 - vX_[2938];
+ vX_[2841] = 0 - (vX_[2939] * vX_[435] + vX_[2940] * vX_[447] + vX_[2943] * vX_[449] + vX_[2867] * vX_[355] + vX_[2841] * vX_[436] + vX_[2908] * vX_[451] + vX_[2812] * vX_[726] + vX_[2764] * vX_[723]);
+ vX_[2943] = 0 - vX_[2942];
+ vX_[2879] = vX_[2900] + vX_[2879] * vX_[355] + vX_[2910] * vX_[451] * 2. + vX_[2764] * vX_[720] + vX_[2676] * vX_[726];
+ vX_[2910] = 0 - vX_[2879];
+ vX_[2909] = vX_[2906] + vX_[2901] * vX_[355] + vX_[2909] * vX_[451] + vX_[2764] * vX_[721] + vX_[2817] * vX_[726];
+ vX_[2906] = 0 - vX_[2909];
+ vX_[2901] = (vX_[2943] * vX_[396] + vX_[2910] * vX_[458] + vX_[2906] * vX_[467]) * 1 / vX_[432];
+ vX_[2943] = vX_[2814] * vX_[710] + vX_[2857] * vX_[445] + vX_[2841] * vX_[433] + vX_[2943] * vX_[461] + vX_[2901];
+ vX_[2859] = vX_[2763] + vX_[2681] * vX_[436] + vX_[2859] * vX_[355] * 2. + vX_[2799] * vX_[721];
+ vX_[2932] = 0 - vX_[2932];
+ vX_[2937] = 0 - (0 - (vX_[2936] * vX_[449] + vX_[2937] * vX_[447]) + vX_[2893] * vX_[451] + vX_[2933] * vX_[355] + vX_[2855] * vX_[436] + vX_[2799] * vX_[723]);
+ vX_[2855] = 0 - vX_[2869];
+ vX_[2936] = 0 - vX_[2859];
+ vX_[2857] = (vX_[2932] * vX_[444] + vX_[2937] * vX_[406] + vX_[2857] * vX_[396] + vX_[2855] * vX_[458] + vX_[2936] * vX_[467]) * 1 / vX_[432];
+ vX_[2932] = vX_[2811] * vX_[710] + vX_[2932] * vX_[445] + vX_[2857];
+ vX_[2933] = vX_[2943] * vX_[395] + vX_[2932] * vX_[383];
+ vX_[2893] = vX_[2943] * vX_[383] + vX_[2932] * vX_[356];
+ vX_[2763] = vX_[2859] * vX_[383] + vX_[2909] * vX_[395];
+ vX_[2900] = vX_[2859] * vX_[356] + vX_[2909] * vX_[383];
+ vX_[2905] = vX_[2798] + vX_[2905] * vX_[436] + vX_[2891] * vX_[451] * 2. + vX_[2812] * vX_[721] + vX_[2817] * vX_[723];
+ vX_[2798] = vX_[2879] - vX_[2905];
+ vX_[2941] = 0 - (vX_[2941] + vX_[2917] * vX_[436] + vX_[2903] * vX_[451] + vX_[2812] * vX_[723]);
+ vX_[2904] = 0 - (vX_[2904] + vX_[2870] * vX_[436] + vX_[2681] * vX_[451] + vX_[2812] * vX_[720] + vX_[2676] * vX_[723]);
+ vX_[2905] = 0 - vX_[2905];
+ vX_[2841] = (vX_[2941] * vX_[406] + vX_[2841] * vX_[396] + vX_[2904] * vX_[458] + vX_[2905] * vX_[467]) * 1 / vX_[432];
+ vX_[2941] = 0 - vX_[2869] + vX_[2813] * vX_[710] + vX_[2937] * vX_[445] + vX_[2941] * vX_[433] + vX_[2841];
+ vX_[2891] = vX_[2891] + vX_[2817] * vX_[721];
+ vX_[2889] = vX_[2889] + vX_[2676] * vX_[720];
+ vX_[2937] = 0 - vX_[2889];
+ vX_[2681] = vX_[2681] + vX_[2676] * vX_[721] + vX_[2817] * vX_[720];
+ vX_[2870] = 0 - vX_[2681];
+ vX_[2812] = (vX_[2937] * vX_[458] + vX_[2870] * vX_[467]) * 1 / vX_[432];
+ vX_[2917] = 0 - vX_[2891];
+ vX_[2903] = vX_[2917] * vX_[467] * 1 / vX_[432];
+ vX_[2841] = 0 - vX_[2811] * vX_[689] - vX_[2813] * vX_[707] - vX_[2814] * vX_[493] - vX_[2815] * vX_[971] + vX_[2815] * vX_[710] - vX_[2816] * vX_[744] - vX_[2818] * vX_[729] - vX_[2857] * vX_[445] - vX_[2841] * vX_[433] - vX_[2901] * vX_[461] - vX_[2812] * vX_[513] - vX_[2903] * vX_[522];
+ vX_[2857] = 0 - vX_[2891] + vX_[2841];
+ vX_[2903] = vX_[2818] * vX_[710] + vX_[2936] * vX_[445] + vX_[2905] * vX_[433] + vX_[2906] * vX_[461] + vX_[2870] * vX_[513] + vX_[2917] * vX_[522] + vX_[2903];
+ vX_[2812] = vX_[2816] * vX_[710] + vX_[2855] * vX_[445] + vX_[2904] * vX_[433] + vX_[2910] * vX_[461] + vX_[2937] * vX_[513] + vX_[2812];
+ vX_[2937] = vX_[2857] * vX_[383] + vX_[2903] * vX_[395];
+ vX_[2904] = vX_[2857] * vX_[356] + vX_[2903] * vX_[383];
+ vX_[2855] = vX_[2937] * vX_[356] + vX_[2904] * vX_[383];
+ vX_[2910] = vX_[2891] + vX_[2937] * vX_[383];
+ vX_[2816] = vX_[2891] + vX_[2904] * vX_[356];
+ vX_[2841] = vX_[2889] + vX_[2891] + vX_[2841] - vX_[2910] - vX_[2816];
+ vX_[2889] = 0 - vX_[2841];
+ vX_[2891] = (vX_[2869] * vX_[383] + vX_[2879] * vX_[395]) * -1;
+ vX_[2917] = vX_[2891] + vX_[2889] * vX_[397];
+ vX_[2870] = 0 - vX_[2917];
+ vX_[2891] = 0 - (vX_[2798] * vX_[356] + vX_[2941] * vX_[383]) + vX_[2891];
+ vX_[2905] = (vX_[2869] * vX_[356] + vX_[2879] * vX_[383]) * -1;
+ vX_[2936] = vX_[2905] + vX_[2841] * vX_[402];
+ vX_[2906] = 0 - vX_[2936];
+ vX_[2818] = 0 - (vX_[2681] * vX_[356] + vX_[2812] * vX_[383]) + vX_[2681] * vX_[395] * -1 * 2.;
+ vX_[2901] = 0 - vX_[2818];
+ vX_[2815] = vX_[2681] * vX_[383] + vX_[2812] * vX_[395] + vX_[2681] * vX_[383] * -1 * 2.;
+ vX_[2814] = 0 - vX_[2815];
+ vX_[2813] = 0 - vX_[2816];
+ vX_[2905] = vX_[2798] * vX_[383] + vX_[2941] * vX_[395] + vX_[2905];
+ vX_[2811] = 0 - vX_[2855];
+ vX_[2940] = 0 - vX_[2816];
+ jac[283] = 0 - (vX_[2799] * vX_[743] + vX_[2764] * vX_[738] + vX_[2810] * vX_[714] + vX_[2817] * vX_[638] + vX_[2858] * vX_[442] + vX_[2938] * vX_[440] + vX_[2907] * vX_[441] + vX_[2680] * vX_[411] + vX_[2869] * vX_[399] + vX_[2943] * vX_[388] + vX_[2859] * vX_[465] + vX_[2879] * vX_[454] + vX_[2932] * vX_[394] + vX_[2909] * vX_[466] + vX_[2933] * vX_[393] + vX_[2893] * vX_[387] + vX_[2763] * vX_[392] + vX_[2900] * vX_[382] + vX_[2798] * vX_[404] + vX_[2941] * vX_[400] + vX_[2857] * vX_[430] + vX_[2903] * vX_[428] + vX_[2681] * vX_[568] + vX_[2681] * vX_[455] + vX_[2812] * vX_[457] + vX_[2937] * vX_[379] + vX_[2904] * vX_[427] + (vX_[2855] * vX_[403] + vX_[2889] * vX_[413] + vX_[2910] * vX_[398] + vX_[2870] * vX_[409] + (vX_[2891] + vX_[2910] * vX_[397]) * 4.027 + vX_[2906] * vX_[411] + vX_[2901] * vX_[393] + vX_[2814] * vX_[392] + vX_[2855] * vX_[377] + vX_[2910] * vX_[429]) * -0.08 + vX_[2920] * vX_[702] + vX_[2922] * vX_[690] + vX_[2952] * vX_[697] + vX_[2951] * vX_[664] + (vX_[2676] * vX_[743] + vX_[2920] * vX_[704]) * -0.08) * vX_[773] + (vX_[2799] * vX_[738] + vX_[2810] * vX_[638] + vX_[2858] * vX_[440] + vX_[2907] * vX_[411] + vX_[2680] * vX_[439] + vX_[2869] * vX_[454] + vX_[2859] * vX_[466] + vX_[2932] * vX_[388] + vX_[2933] * vX_[392] + vX_[2893] * vX_[382] + vX_[2798] * vX_[400] + vX_[2857] * vX_[428] + vX_[2681] * vX_[457] + vX_[2937] * vX_[427] + vX_[2904] * vX_[424] + vX_[2922] * vX_[702] + vX_[2951] * vX_[697] - (vX_[2764] * vX_[743] + vX_[2920] * vX_[690]) + (vX_[2676] * vX_[738] + (vX_[2841] * vX_[412] + vX_[2813] * vX_[403] + vX_[2917] * vX_[411] + vX_[2936] * vX_[410] + (0 - (vX_[2905] + vX_[2855] * vX_[397] + vX_[2813] * vX_[402])) * 4.027 + vX_[2818] * vX_[387] + vX_[2815] * vX_[382] + vX_[2811] * vX_[389] + vX_[2940] * vX_[423]) * -1 + vX_[2922] * vX_[704]) * -0.08 - (vX_[2817] * vX_[714] + vX_[2938] * vX_[442] + vX_[2943] * vX_[394] + vX_[2879] * vX_[399] + vX_[2909] * vX_[465] + vX_[2763] * vX_[393] + vX_[2900] * vX_[387] + vX_[2941] * vX_[404] + vX_[2903] * vX_[430] + vX_[2681] * vX_[456] + vX_[2812] * vX_[455] + vX_[2952] * vX_[664])) * vX_[1030];
+ vX_[3091] = vX_[2950] + vX_[3091] * vX_[435] + vX_[3090] * vX_[449];
+ vX_[3092] = vX_[2950] + vX_[3089] * vX_[449] + vX_[3092] * vX_[447];
+ vX_[3082] = vX_[2994] + vX_[3001] + vX_[2950] - vX_[3091] - vX_[3092] + vX_[2945] * vX_[436] + vX_[3082] * vX_[355];
+ vX_[3092] = vX_[3092] + vX_[3008] * vX_[355] + vX_[3035] * vX_[451] + vX_[2914] * vX_[726];
+ vX_[3008] = vX_[3082] - vX_[3092];
+ vX_[3088] = vX_[3086] * vX_[435] + vX_[3088] * vX_[449] + vX_[3018] * vX_[451] + vX_[2830] * vX_[436] + vX_[3057] * vX_[355] + vX_[2949] * vX_[726];
+ vX_[3057] = vX_[3008] * vX_[383] + vX_[3088] * vX_[395];
+ vX_[2830] = vX_[3008] * vX_[356] + vX_[3088] * vX_[383];
+ vX_[3019] = vX_[3007] + vX_[3019] * vX_[355] + vX_[3039] * vX_[436] * 2. + vX_[2949] * vX_[720];
+ vX_[3007] = 0 - vX_[3088];
+ vX_[2991] = 0 - (vX_[3089] * vX_[435] + vX_[3090] * vX_[447] + vX_[3093] * vX_[449] + vX_[3017] * vX_[355] + vX_[2991] * vX_[436] + vX_[3058] * vX_[451] + vX_[2962] * vX_[726] + vX_[2914] * vX_[723]);
+ vX_[3093] = 0 - vX_[3092];
+ vX_[3029] = vX_[3050] + vX_[3029] * vX_[355] + vX_[3060] * vX_[451] * 2. + vX_[2914] * vX_[720] + vX_[2826] * vX_[726];
+ vX_[3060] = 0 - vX_[3029];
+ vX_[3059] = vX_[3056] + vX_[3051] * vX_[355] + vX_[3059] * vX_[451] + vX_[2914] * vX_[721] + vX_[2967] * vX_[726];
+ vX_[3056] = 0 - vX_[3059];
+ vX_[3051] = (vX_[3093] * vX_[396] + vX_[3060] * vX_[458] + vX_[3056] * vX_[467]) * 1 / vX_[432];
+ vX_[3093] = vX_[2964] * vX_[710] + vX_[3007] * vX_[445] + vX_[2991] * vX_[433] + vX_[3093] * vX_[461] + vX_[3051];
+ vX_[3009] = vX_[2913] + vX_[2831] * vX_[436] + vX_[3009] * vX_[355] * 2. + vX_[2949] * vX_[721];
+ vX_[3082] = 0 - vX_[3082];
+ vX_[3087] = 0 - (0 - (vX_[3086] * vX_[449] + vX_[3087] * vX_[447]) + vX_[3043] * vX_[451] + vX_[3083] * vX_[355] + vX_[3005] * vX_[436] + vX_[2949] * vX_[723]);
+ vX_[3005] = 0 - vX_[3019];
+ vX_[3086] = 0 - vX_[3009];
+ vX_[3007] = (vX_[3082] * vX_[444] + vX_[3087] * vX_[406] + vX_[3007] * vX_[396] + vX_[3005] * vX_[458] + vX_[3086] * vX_[467]) * 1 / vX_[432];
+ vX_[3082] = vX_[2961] * vX_[710] + vX_[3082] * vX_[445] + vX_[3007];
+ vX_[3083] = vX_[3093] * vX_[395] + vX_[3082] * vX_[383];
+ vX_[3043] = vX_[3093] * vX_[383] + vX_[3082] * vX_[356];
+ vX_[2913] = vX_[3009] * vX_[383] + vX_[3059] * vX_[395];
+ vX_[3050] = vX_[3009] * vX_[356] + vX_[3059] * vX_[383];
+ vX_[3055] = vX_[2948] + vX_[3055] * vX_[436] + vX_[3041] * vX_[451] * 2. + vX_[2962] * vX_[721] + vX_[2967] * vX_[723];
+ vX_[2948] = vX_[3029] - vX_[3055];
+ vX_[3091] = 0 - (vX_[3091] + vX_[3067] * vX_[436] + vX_[3053] * vX_[451] + vX_[2962] * vX_[723]);
+ vX_[3054] = 0 - (vX_[3054] + vX_[3020] * vX_[436] + vX_[2831] * vX_[451] + vX_[2962] * vX_[720] + vX_[2826] * vX_[723]);
+ vX_[3055] = 0 - vX_[3055];
+ vX_[2991] = (vX_[3091] * vX_[406] + vX_[2991] * vX_[396] + vX_[3054] * vX_[458] + vX_[3055] * vX_[467]) * 1 / vX_[432];
+ vX_[3091] = 0 - vX_[3019] + vX_[2963] * vX_[710] + vX_[3087] * vX_[445] + vX_[3091] * vX_[433] + vX_[2991];
+ vX_[3041] = vX_[3041] + vX_[2967] * vX_[721];
+ vX_[3039] = vX_[3039] + vX_[2826] * vX_[720];
+ vX_[3087] = 0 - vX_[3039];
+ vX_[2831] = vX_[2831] + vX_[2826] * vX_[721] + vX_[2967] * vX_[720];
+ vX_[3020] = 0 - vX_[2831];
+ vX_[2962] = (vX_[3087] * vX_[458] + vX_[3020] * vX_[467]) * 1 / vX_[432];
+ vX_[3067] = 0 - vX_[3041];
+ vX_[3053] = vX_[3067] * vX_[467] * 1 / vX_[432];
+ vX_[2991] = 0 - vX_[2961] * vX_[689] - vX_[2963] * vX_[707] - vX_[2964] * vX_[493] - vX_[2965] * vX_[971] + vX_[2965] * vX_[710] - vX_[2966] * vX_[744] - vX_[2968] * vX_[729] - vX_[3007] * vX_[445] - vX_[2991] * vX_[433] - vX_[3051] * vX_[461] - vX_[2962] * vX_[513] - vX_[3053] * vX_[522];
+ vX_[3007] = 0 - vX_[3041] + vX_[2991];
+ vX_[3053] = vX_[2968] * vX_[710] + vX_[3086] * vX_[445] + vX_[3055] * vX_[433] + vX_[3056] * vX_[461] + vX_[3020] * vX_[513] + vX_[3067] * vX_[522] + vX_[3053];
+ vX_[2962] = vX_[2966] * vX_[710] + vX_[3005] * vX_[445] + vX_[3054] * vX_[433] + vX_[3060] * vX_[461] + vX_[3087] * vX_[513] + vX_[2962];
+ vX_[3087] = vX_[3007] * vX_[383] + vX_[3053] * vX_[395];
+ vX_[3054] = vX_[3007] * vX_[356] + vX_[3053] * vX_[383];
+ vX_[3005] = vX_[3087] * vX_[356] + vX_[3054] * vX_[383];
+ vX_[3060] = vX_[3041] + vX_[3087] * vX_[383];
+ vX_[2966] = vX_[3041] + vX_[3054] * vX_[356];
+ vX_[2991] = vX_[3039] + vX_[3041] + vX_[2991] - vX_[3060] - vX_[2966];
+ vX_[3039] = 0 - vX_[2991];
+ vX_[3041] = (vX_[3019] * vX_[383] + vX_[3029] * vX_[395]) * -1;
+ vX_[3067] = vX_[3041] + vX_[3039] * vX_[397];
+ vX_[3020] = 0 - vX_[3067];
+ vX_[3041] = 0 - (vX_[2948] * vX_[356] + vX_[3091] * vX_[383]) + vX_[3041];
+ vX_[3055] = (vX_[3019] * vX_[356] + vX_[3029] * vX_[383]) * -1;
+ vX_[3086] = vX_[3055] + vX_[2991] * vX_[402];
+ vX_[3056] = 0 - vX_[3086];
+ vX_[2968] = 0 - (vX_[2831] * vX_[356] + vX_[2962] * vX_[383]) + vX_[2831] * vX_[395] * -1 * 2.;
+ vX_[3051] = 0 - vX_[2968];
+ vX_[2965] = vX_[2831] * vX_[383] + vX_[2962] * vX_[395] + vX_[2831] * vX_[383] * -1 * 2.;
+ vX_[2964] = 0 - vX_[2965];
+ vX_[2963] = 0 - vX_[2966];
+ vX_[3055] = vX_[2948] * vX_[383] + vX_[3091] * vX_[395] + vX_[3055];
+ vX_[2961] = 0 - vX_[3005];
+ vX_[3090] = 0 - vX_[2966];
+ jac[284] = 0 - (vX_[2949] * vX_[743] + vX_[2914] * vX_[738] + vX_[2960] * vX_[714] + vX_[2967] * vX_[638] + vX_[3008] * vX_[442] + vX_[3088] * vX_[440] + vX_[3057] * vX_[441] + vX_[2830] * vX_[411] + vX_[3019] * vX_[399] + vX_[3093] * vX_[388] + vX_[3009] * vX_[465] + vX_[3029] * vX_[454] + vX_[3082] * vX_[394] + vX_[3059] * vX_[466] + vX_[3083] * vX_[393] + vX_[3043] * vX_[387] + vX_[2913] * vX_[392] + vX_[3050] * vX_[382] + vX_[2948] * vX_[404] + vX_[3091] * vX_[400] + vX_[3007] * vX_[430] + vX_[3053] * vX_[428] + vX_[2831] * vX_[568] + vX_[2831] * vX_[455] + vX_[2962] * vX_[457] + vX_[3087] * vX_[379] + vX_[3054] * vX_[427] + (vX_[3005] * vX_[403] + vX_[3039] * vX_[413] + vX_[3060] * vX_[398] + vX_[3020] * vX_[409] + (vX_[3041] + vX_[3060] * vX_[397]) * 4.027 + vX_[3056] * vX_[411] + vX_[3051] * vX_[393] + vX_[2964] * vX_[392] + vX_[3005] * vX_[377] + vX_[3060] * vX_[429]) * -0.08 + vX_[3070] * vX_[702] + vX_[3072] * vX_[690] + vX_[3102] * vX_[697] + vX_[3101] * vX_[664] + (vX_[2826] * vX_[743] + vX_[3070] * vX_[704]) * -0.08) * vX_[773] + (vX_[2949] * vX_[738] + vX_[2960] * vX_[638] + vX_[3008] * vX_[440] + vX_[3057] * vX_[411] + vX_[2830] * vX_[439] + vX_[3019] * vX_[454] + vX_[3009] * vX_[466] + vX_[3082] * vX_[388] + vX_[3083] * vX_[392] + vX_[3043] * vX_[382] + vX_[2948] * vX_[400] + vX_[3007] * vX_[428] + vX_[2831] * vX_[457] + vX_[3087] * vX_[427] + vX_[3054] * vX_[424] + vX_[3072] * vX_[702] + vX_[3101] * vX_[697] - (vX_[2914] * vX_[743] + vX_[3070] * vX_[690]) + (vX_[2826] * vX_[738] + (vX_[2991] * vX_[412] + vX_[2963] * vX_[403] + vX_[3067] * vX_[411] + vX_[3086] * vX_[410] + (0 - (vX_[3055] + vX_[3005] * vX_[397] + vX_[2963] * vX_[402])) * 4.027 + vX_[2968] * vX_[387] + vX_[2965] * vX_[382] + vX_[2961] * vX_[389] + vX_[3090] * vX_[423]) * -1 + vX_[3072] * vX_[704]) * -0.08 - (vX_[2967] * vX_[714] + vX_[3088] * vX_[442] + vX_[3093] * vX_[394] + vX_[3029] * vX_[399] + vX_[3059] * vX_[465] + vX_[2913] * vX_[393] + vX_[3050] * vX_[387] + vX_[3091] * vX_[404] + vX_[3053] * vX_[430] + vX_[2831] * vX_[456] + vX_[2962] * vX_[455] + vX_[3102] * vX_[664])) * vX_[1030];
+ vX_[3233] = vX_[2834] + vX_[3233] * vX_[435] + vX_[3232] * vX_[449];
+ vX_[3234] = vX_[2834] + vX_[3231] * vX_[449] + vX_[3234] * vX_[447];
+ vX_[3224] = vX_[3136] + vX_[3143] + vX_[2834] - vX_[3233] - vX_[3234] + vX_[3103] * vX_[436] + vX_[3224] * vX_[355];
+ vX_[3234] = vX_[3234] + vX_[3150] * vX_[355] + vX_[3177] * vX_[451] + vX_[2984] * vX_[726];
+ vX_[3150] = vX_[3224] - vX_[3234];
+ vX_[3230] = vX_[3228] * vX_[435] + vX_[3230] * vX_[449] + vX_[3160] * vX_[451] + vX_[3099] * vX_[436] + vX_[3199] * vX_[355] + vX_[3077] * vX_[726];
+ vX_[3199] = vX_[3150] * vX_[383] + vX_[3230] * vX_[395];
+ vX_[3099] = vX_[3150] * vX_[356] + vX_[3230] * vX_[383];
+ vX_[3161] = vX_[3149] + vX_[3161] * vX_[355] + vX_[3181] * vX_[436] * 2. + vX_[3077] * vX_[720];
+ vX_[3149] = 0 - vX_[3230];
+ vX_[3133] = 0 - (vX_[3231] * vX_[435] + vX_[3232] * vX_[447] + vX_[3235] * vX_[449] + vX_[3159] * vX_[355] + vX_[3133] * vX_[436] + vX_[3200] * vX_[451] + vX_[2973] * vX_[726] + vX_[2984] * vX_[723]);
+ vX_[3235] = 0 - vX_[3234];
+ vX_[3171] = vX_[3192] + vX_[3171] * vX_[355] + vX_[3202] * vX_[451] * 2. + vX_[2984] * vX_[720] + vX_[2983] * vX_[726];
+ vX_[3202] = 0 - vX_[3171];
+ vX_[3201] = vX_[3198] + vX_[3193] * vX_[355] + vX_[3201] * vX_[451] + vX_[2984] * vX_[721] + vX_[2974] * vX_[726];
+ vX_[3198] = 0 - vX_[3201];
+ vX_[3193] = (vX_[3235] * vX_[396] + vX_[3202] * vX_[458] + vX_[3198] * vX_[467]) * 1 / vX_[432];
+ vX_[3235] = vX_[3094] * vX_[710] + vX_[3149] * vX_[445] + vX_[3133] * vX_[433] + vX_[3235] * vX_[461] + vX_[3193];
+ vX_[3151] = vX_[3071] + vX_[3038] * vX_[436] + vX_[3151] * vX_[355] * 2. + vX_[3077] * vX_[721];
+ vX_[3224] = 0 - vX_[3224];
+ vX_[3229] = 0 - (0 - (vX_[3228] * vX_[449] + vX_[3229] * vX_[447]) + vX_[3185] * vX_[451] + vX_[3225] * vX_[355] + vX_[3147] * vX_[436] + vX_[3077] * vX_[723]);
+ vX_[3147] = 0 - vX_[3161];
+ vX_[3228] = 0 - vX_[3151];
+ vX_[3149] = (vX_[3224] * vX_[444] + vX_[3229] * vX_[406] + vX_[3149] * vX_[396] + vX_[3147] * vX_[458] + vX_[3228] * vX_[467]) * 1 / vX_[432];
+ vX_[3224] = vX_[2976] * vX_[710] + vX_[3224] * vX_[445] + vX_[3149];
+ vX_[3225] = vX_[3235] * vX_[395] + vX_[3224] * vX_[383];
+ vX_[3185] = vX_[3235] * vX_[383] + vX_[3224] * vX_[356];
+ vX_[3071] = vX_[3151] * vX_[383] + vX_[3201] * vX_[395];
+ vX_[3192] = vX_[3151] * vX_[356] + vX_[3201] * vX_[383];
+ vX_[3197] = vX_[2981] + vX_[3197] * vX_[436] + vX_[3183] * vX_[451] * 2. + vX_[2973] * vX_[721] + vX_[2974] * vX_[723];
+ vX_[2981] = vX_[3171] - vX_[3197];
+ vX_[3233] = 0 - (vX_[3233] + vX_[3209] * vX_[436] + vX_[3195] * vX_[451] + vX_[2973] * vX_[723]);
+ vX_[3196] = 0 - (vX_[3196] + vX_[3162] * vX_[436] + vX_[3038] * vX_[451] + vX_[2973] * vX_[720] + vX_[2983] * vX_[723]);
+ vX_[3197] = 0 - vX_[3197];
+ vX_[3133] = (vX_[3233] * vX_[406] + vX_[3133] * vX_[396] + vX_[3196] * vX_[458] + vX_[3197] * vX_[467]) * 1 / vX_[432];
+ vX_[3233] = 0 - vX_[3161] + vX_[3096] * vX_[710] + vX_[3229] * vX_[445] + vX_[3233] * vX_[433] + vX_[3133];
+ vX_[3183] = vX_[3183] + vX_[2974] * vX_[721];
+ vX_[3181] = vX_[3181] + vX_[2983] * vX_[720];
+ vX_[3229] = 0 - vX_[3181];
+ vX_[3038] = vX_[3038] + vX_[2983] * vX_[721] + vX_[2974] * vX_[720];
+ vX_[3162] = 0 - vX_[3038];
+ vX_[2973] = (vX_[3229] * vX_[458] + vX_[3162] * vX_[467]) * 1 / vX_[432];
+ vX_[3209] = 0 - vX_[3183];
+ vX_[3195] = vX_[3209] * vX_[467] * 1 / vX_[432];
+ vX_[3133] = 0 - vX_[2976] * vX_[689] - vX_[3096] * vX_[707] - vX_[3094] * vX_[493] - vX_[2979] * vX_[971] + vX_[2979] * vX_[710] - vX_[2977] * vX_[744] - vX_[3110] * vX_[729] - vX_[3149] * vX_[445] - vX_[3133] * vX_[433] - vX_[3193] * vX_[461] - vX_[2973] * vX_[513] - vX_[3195] * vX_[522];
+ vX_[3149] = 0 - vX_[3183] + vX_[3133];
+ vX_[3195] = vX_[3110] * vX_[710] + vX_[3228] * vX_[445] + vX_[3197] * vX_[433] + vX_[3198] * vX_[461] + vX_[3162] * vX_[513] + vX_[3209] * vX_[522] + vX_[3195];
+ vX_[2973] = vX_[2977] * vX_[710] + vX_[3147] * vX_[445] + vX_[3196] * vX_[433] + vX_[3202] * vX_[461] + vX_[3229] * vX_[513] + vX_[2973];
+ vX_[3229] = vX_[3149] * vX_[383] + vX_[3195] * vX_[395];
+ vX_[3196] = vX_[3149] * vX_[356] + vX_[3195] * vX_[383];
+ vX_[3147] = vX_[3229] * vX_[356] + vX_[3196] * vX_[383];
+ vX_[3202] = vX_[3183] + vX_[3229] * vX_[383];
+ vX_[2977] = vX_[3183] + vX_[3196] * vX_[356];
+ vX_[3133] = vX_[3181] + vX_[3183] + vX_[3133] - vX_[3202] - vX_[2977];
+ vX_[3181] = 0 - vX_[3133];
+ vX_[3183] = (vX_[3161] * vX_[383] + vX_[3171] * vX_[395]) * -1;
+ vX_[3209] = vX_[3183] + vX_[3181] * vX_[397];
+ vX_[3162] = 0 - vX_[3209];
+ vX_[3183] = 0 - (vX_[2981] * vX_[356] + vX_[3233] * vX_[383]) + vX_[3183];
+ vX_[3197] = (vX_[3161] * vX_[356] + vX_[3171] * vX_[383]) * -1;
+ vX_[3228] = vX_[3197] + vX_[3133] * vX_[402];
+ vX_[3198] = 0 - vX_[3228];
+ vX_[3110] = 0 - (vX_[3038] * vX_[356] + vX_[2973] * vX_[383]) + vX_[3038] * vX_[395] * -1 * 2.;
+ vX_[3193] = 0 - vX_[3110];
+ vX_[2979] = vX_[3038] * vX_[383] + vX_[2973] * vX_[395] + vX_[3038] * vX_[383] * -1 * 2.;
+ vX_[3094] = 0 - vX_[2979];
+ vX_[3096] = 0 - vX_[2977];
+ vX_[3197] = vX_[2981] * vX_[383] + vX_[3233] * vX_[395] + vX_[3197];
+ vX_[2976] = 0 - vX_[3147];
+ vX_[3232] = 0 - vX_[2977];
+ jac[285] = 0 - (vX_[3077] * vX_[743] + vX_[2984] * vX_[738] + vX_[3064] * vX_[714] + vX_[2974] * vX_[638] + vX_[3150] * vX_[442] + vX_[3230] * vX_[440] + vX_[3199] * vX_[441] + vX_[3099] * vX_[411] + vX_[3161] * vX_[399] + vX_[3235] * vX_[388] + vX_[3151] * vX_[465] + vX_[3171] * vX_[454] + vX_[3224] * vX_[394] + vX_[3201] * vX_[466] + vX_[3225] * vX_[393] + vX_[3185] * vX_[387] + vX_[3071] * vX_[392] + vX_[3192] * vX_[382] + vX_[2981] * vX_[404] + vX_[3233] * vX_[400] + vX_[3149] * vX_[430] + vX_[3195] * vX_[428] + vX_[3038] * vX_[568] + vX_[3038] * vX_[455] + vX_[2973] * vX_[457] + vX_[3229] * vX_[379] + vX_[3196] * vX_[427] + (vX_[3147] * vX_[403] + vX_[3181] * vX_[413] + vX_[3202] * vX_[398] + vX_[3162] * vX_[409] + (vX_[3183] + vX_[3202] * vX_[397]) * 4.027 + vX_[3198] * vX_[411] + vX_[3193] * vX_[393] + vX_[3094] * vX_[392] + vX_[3147] * vX_[377] + vX_[3202] * vX_[429]) * -0.08 + vX_[3212] * vX_[702] + vX_[3214] * vX_[690] + vX_[3244] * vX_[697] + vX_[3243] * vX_[664] + (vX_[2983] * vX_[743] + vX_[3212] * vX_[704]) * -0.08) * vX_[773] + (vX_[3077] * vX_[738] + vX_[3064] * vX_[638] + vX_[3150] * vX_[440] + vX_[3199] * vX_[411] + vX_[3099] * vX_[439] + vX_[3161] * vX_[454] + vX_[3151] * vX_[466] + vX_[3224] * vX_[388] + vX_[3225] * vX_[392] + vX_[3185] * vX_[382] + vX_[2981] * vX_[400] + vX_[3149] * vX_[428] + vX_[3038] * vX_[457] + vX_[3229] * vX_[427] + vX_[3196] * vX_[424] + vX_[3214] * vX_[702] + vX_[3243] * vX_[697] - (vX_[2984] * vX_[743] + vX_[3212] * vX_[690]) + (vX_[2983] * vX_[738] + (vX_[3133] * vX_[412] + vX_[3096] * vX_[403] + vX_[3209] * vX_[411] + vX_[3228] * vX_[410] + (0 - (vX_[3197] + vX_[3147] * vX_[397] + vX_[3096] * vX_[402])) * 4.027 + vX_[3110] * vX_[387] + vX_[2979] * vX_[382] + vX_[2976] * vX_[389] + vX_[3232] * vX_[423]) * -1 + vX_[3214] * vX_[704]) * -0.08 - (vX_[2974] * vX_[714] + vX_[3230] * vX_[442] + vX_[3235] * vX_[394] + vX_[3171] * vX_[399] + vX_[3201] * vX_[465] + vX_[3071] * vX_[393] + vX_[3192] * vX_[387] + vX_[3233] * vX_[404] + vX_[3195] * vX_[430] + vX_[3038] * vX_[456] + vX_[2973] * vX_[455] + vX_[3244] * vX_[664])) * vX_[1030];
+ vX_[3385] = vX_[3213] + vX_[3385] * vX_[435] + vX_[3384] * vX_[449];
+ vX_[3386] = vX_[3213] + vX_[3383] * vX_[449] + vX_[3386] * vX_[447];
+ vX_[3376] = vX_[3288] + vX_[3295] + vX_[3213] - vX_[3385] - vX_[3386] + vX_[3124] * vX_[436] + vX_[3376] * vX_[355];
+ vX_[3386] = vX_[3386] + vX_[3302] * vX_[355] + vX_[3329] * vX_[451] + vX_[3115] * vX_[726];
+ vX_[3302] = vX_[3376] - vX_[3386];
+ vX_[3382] = vX_[3380] * vX_[435] + vX_[3382] * vX_[449] + vX_[3312] * vX_[451] + vX_[3120] * vX_[436] + vX_[3351] * vX_[355] + vX_[3127] * vX_[726];
+ vX_[3351] = vX_[3302] * vX_[383] + vX_[3382] * vX_[395];
+ vX_[3120] = vX_[3302] * vX_[356] + vX_[3382] * vX_[383];
+ vX_[3313] = vX_[3301] + vX_[3313] * vX_[355] + vX_[3333] * vX_[436] * 2. + vX_[3127] * vX_[720];
+ vX_[3301] = 0 - vX_[3382];
+ vX_[3285] = 0 - (vX_[3383] * vX_[435] + vX_[3384] * vX_[447] + vX_[3387] * vX_[449] + vX_[3311] * vX_[355] + vX_[3285] * vX_[436] + vX_[3352] * vX_[451] + vX_[3256] * vX_[726] + vX_[3115] * vX_[723]);
+ vX_[3387] = 0 - vX_[3386];
+ vX_[3323] = vX_[3344] + vX_[3323] * vX_[355] + vX_[3354] * vX_[451] * 2. + vX_[3115] * vX_[720] + vX_[3238] * vX_[726];
+ vX_[3354] = 0 - vX_[3323];
+ vX_[3353] = vX_[3350] + vX_[3345] * vX_[355] + vX_[3353] * vX_[451] + vX_[3115] * vX_[721] + vX_[3261] * vX_[726];
+ vX_[3350] = 0 - vX_[3353];
+ vX_[3345] = (vX_[3387] * vX_[396] + vX_[3354] * vX_[458] + vX_[3350] * vX_[467]) * 1 / vX_[432];
+ vX_[3387] = vX_[3258] * vX_[710] + vX_[3301] * vX_[445] + vX_[3285] * vX_[433] + vX_[3387] * vX_[461] + vX_[3345];
+ vX_[3303] = vX_[3122] + vX_[3126] * vX_[436] + vX_[3303] * vX_[355] * 2. + vX_[3127] * vX_[721];
+ vX_[3376] = 0 - vX_[3376];
+ vX_[3381] = 0 - (0 - (vX_[3380] * vX_[449] + vX_[3381] * vX_[447]) + vX_[3337] * vX_[451] + vX_[3377] * vX_[355] + vX_[3299] * vX_[436] + vX_[3127] * vX_[723]);
+ vX_[3299] = 0 - vX_[3313];
+ vX_[3380] = 0 - vX_[3303];
+ vX_[3301] = (vX_[3376] * vX_[444] + vX_[3381] * vX_[406] + vX_[3301] * vX_[396] + vX_[3299] * vX_[458] + vX_[3380] * vX_[467]) * 1 / vX_[432];
+ vX_[3376] = vX_[3255] * vX_[710] + vX_[3376] * vX_[445] + vX_[3301];
+ vX_[3377] = vX_[3387] * vX_[395] + vX_[3376] * vX_[383];
+ vX_[3337] = vX_[3387] * vX_[383] + vX_[3376] * vX_[356];
+ vX_[3122] = vX_[3303] * vX_[383] + vX_[3353] * vX_[395];
+ vX_[3344] = vX_[3303] * vX_[356] + vX_[3353] * vX_[383];
+ vX_[3349] = vX_[3206] + vX_[3349] * vX_[436] + vX_[3335] * vX_[451] * 2. + vX_[3256] * vX_[721] + vX_[3261] * vX_[723];
+ vX_[3206] = vX_[3323] - vX_[3349];
+ vX_[3385] = 0 - (vX_[3385] + vX_[3361] * vX_[436] + vX_[3347] * vX_[451] + vX_[3256] * vX_[723]);
+ vX_[3348] = 0 - (vX_[3348] + vX_[3314] * vX_[436] + vX_[3126] * vX_[451] + vX_[3256] * vX_[720] + vX_[3238] * vX_[723]);
+ vX_[3349] = 0 - vX_[3349];
+ vX_[3285] = (vX_[3385] * vX_[406] + vX_[3285] * vX_[396] + vX_[3348] * vX_[458] + vX_[3349] * vX_[467]) * 1 / vX_[432];
+ vX_[3385] = 0 - vX_[3313] + vX_[3257] * vX_[710] + vX_[3381] * vX_[445] + vX_[3385] * vX_[433] + vX_[3285];
+ vX_[3335] = vX_[3335] + vX_[3261] * vX_[721];
+ vX_[3333] = vX_[3333] + vX_[3238] * vX_[720];
+ vX_[3381] = 0 - vX_[3333];
+ vX_[3126] = vX_[3126] + vX_[3238] * vX_[721] + vX_[3261] * vX_[720];
+ vX_[3314] = 0 - vX_[3126];
+ vX_[3256] = (vX_[3381] * vX_[458] + vX_[3314] * vX_[467]) * 1 / vX_[432];
+ vX_[3361] = 0 - vX_[3335];
+ vX_[3347] = vX_[3361] * vX_[467] * 1 / vX_[432];
+ vX_[3285] = 0 - vX_[3255] * vX_[689] - vX_[3257] * vX_[707] - vX_[3258] * vX_[493] - vX_[3259] * vX_[971] + vX_[3259] * vX_[710] - vX_[3260] * vX_[744] - vX_[3262] * vX_[729] - vX_[3301] * vX_[445] - vX_[3285] * vX_[433] - vX_[3345] * vX_[461] - vX_[3256] * vX_[513] - vX_[3347] * vX_[522];
+ vX_[3301] = 0 - vX_[3335] + vX_[3285];
+ vX_[3347] = vX_[3262] * vX_[710] + vX_[3380] * vX_[445] + vX_[3349] * vX_[433] + vX_[3350] * vX_[461] + vX_[3314] * vX_[513] + vX_[3361] * vX_[522] + vX_[3347];
+ vX_[3256] = vX_[3260] * vX_[710] + vX_[3299] * vX_[445] + vX_[3348] * vX_[433] + vX_[3354] * vX_[461] + vX_[3381] * vX_[513] + vX_[3256];
+ vX_[3381] = vX_[3301] * vX_[383] + vX_[3347] * vX_[395];
+ vX_[3348] = vX_[3301] * vX_[356] + vX_[3347] * vX_[383];
+ vX_[3299] = vX_[3381] * vX_[356] + vX_[3348] * vX_[383];
+ vX_[3354] = vX_[3335] + vX_[3381] * vX_[383];
+ vX_[3260] = vX_[3335] + vX_[3348] * vX_[356];
+ vX_[3285] = vX_[3333] + vX_[3335] + vX_[3285] - vX_[3354] - vX_[3260];
+ vX_[3333] = 0 - vX_[3285];
+ vX_[3335] = (vX_[3313] * vX_[383] + vX_[3323] * vX_[395]) * -1;
+ vX_[3361] = vX_[3335] + vX_[3333] * vX_[397];
+ vX_[3314] = 0 - vX_[3361];
+ vX_[3335] = 0 - (vX_[3206] * vX_[356] + vX_[3385] * vX_[383]) + vX_[3335];
+ vX_[3349] = (vX_[3313] * vX_[356] + vX_[3323] * vX_[383]) * -1;
+ vX_[3380] = vX_[3349] + vX_[3285] * vX_[402];
+ vX_[3350] = 0 - vX_[3380];
+ vX_[3262] = 0 - (vX_[3126] * vX_[356] + vX_[3256] * vX_[383]) + vX_[3126] * vX_[395] * -1 * 2.;
+ vX_[3345] = 0 - vX_[3262];
+ vX_[3259] = vX_[3126] * vX_[383] + vX_[3256] * vX_[395] + vX_[3126] * vX_[383] * -1 * 2.;
+ vX_[3258] = 0 - vX_[3259];
+ vX_[3257] = 0 - vX_[3260];
+ vX_[3349] = vX_[3206] * vX_[383] + vX_[3385] * vX_[395] + vX_[3349];
+ vX_[3255] = 0 - vX_[3299];
+ vX_[3384] = 0 - vX_[3260];
+ jac[286] = 0 - (vX_[3127] * vX_[743] + vX_[3115] * vX_[738] + vX_[3254] * vX_[714] + vX_[3261] * vX_[638] + vX_[3302] * vX_[442] + vX_[3382] * vX_[440] + vX_[3351] * vX_[441] + vX_[3120] * vX_[411] + vX_[3313] * vX_[399] + vX_[3387] * vX_[388] + vX_[3303] * vX_[465] + vX_[3323] * vX_[454] + vX_[3376] * vX_[394] + vX_[3353] * vX_[466] + vX_[3377] * vX_[393] + vX_[3337] * vX_[387] + vX_[3122] * vX_[392] + vX_[3344] * vX_[382] + vX_[3206] * vX_[404] + vX_[3385] * vX_[400] + vX_[3301] * vX_[430] + vX_[3347] * vX_[428] + vX_[3126] * vX_[568] + vX_[3126] * vX_[455] + vX_[3256] * vX_[457] + vX_[3381] * vX_[379] + vX_[3348] * vX_[427] + (vX_[3299] * vX_[403] + vX_[3333] * vX_[413] + vX_[3354] * vX_[398] + vX_[3314] * vX_[409] + (vX_[3335] + vX_[3354] * vX_[397]) * 4.027 + vX_[3350] * vX_[411] + vX_[3345] * vX_[393] + vX_[3258] * vX_[392] + vX_[3299] * vX_[377] + vX_[3354] * vX_[429]) * -0.08 + vX_[3364] * vX_[702] + vX_[3366] * vX_[690] + vX_[3396] * vX_[697] + vX_[3395] * vX_[664] + (vX_[3238] * vX_[743] + vX_[3364] * vX_[704]) * -0.08) * vX_[773] + (vX_[3127] * vX_[738] + vX_[3254] * vX_[638] + vX_[3302] * vX_[440] + vX_[3351] * vX_[411] + vX_[3120] * vX_[439] + vX_[3313] * vX_[454] + vX_[3303] * vX_[466] + vX_[3376] * vX_[388] + vX_[3377] * vX_[392] + vX_[3337] * vX_[382] + vX_[3206] * vX_[400] + vX_[3301] * vX_[428] + vX_[3126] * vX_[457] + vX_[3381] * vX_[427] + vX_[3348] * vX_[424] + vX_[3366] * vX_[702] + vX_[3395] * vX_[697] - (vX_[3115] * vX_[743] + vX_[3364] * vX_[690]) + (vX_[3238] * vX_[738] + (vX_[3285] * vX_[412] + vX_[3257] * vX_[403] + vX_[3361] * vX_[411] + vX_[3380] * vX_[410] + (0 - (vX_[3349] + vX_[3299] * vX_[397] + vX_[3257] * vX_[402])) * 4.027 + vX_[3262] * vX_[387] + vX_[3259] * vX_[382] + vX_[3255] * vX_[389] + vX_[3384] * vX_[423]) * -1 + vX_[3366] * vX_[704]) * -0.08 - (vX_[3261] * vX_[714] + vX_[3382] * vX_[442] + vX_[3387] * vX_[394] + vX_[3323] * vX_[399] + vX_[3353] * vX_[465] + vX_[3122] * vX_[393] + vX_[3344] * vX_[387] + vX_[3385] * vX_[404] + vX_[3347] * vX_[430] + vX_[3126] * vX_[456] + vX_[3256] * vX_[455] + vX_[3396] * vX_[664])) * vX_[1030];
+ vX_[3489] = vX_[1016] + vX_[3489] * vX_[435] + vX_[3488] * vX_[449];
+ vX_[3490] = vX_[1016] + vX_[582] * vX_[449] + vX_[3490] * vX_[447];
+ vX_[3486] = vX_[3439] + vX_[703] + vX_[1016] - vX_[3489] - vX_[3490] + vX_[3357] * vX_[436] + vX_[3486] * vX_[355];
+ vX_[3490] = vX_[3490] + vX_[550] * vX_[355] + vX_[3464] * vX_[451] + vX_[3270] * vX_[726];
+ vX_[550] = vX_[3486] - vX_[3490];
+ vX_[599] = vX_[552] * vX_[435] + vX_[599] * vX_[449] + vX_[3448] * vX_[451] + vX_[3392] * vX_[436] + vX_[3440] * vX_[355] + vX_[3275] * vX_[726];
+ vX_[3440] = vX_[550] * vX_[383] + vX_[599] * vX_[395];
+ vX_[3392] = vX_[550] * vX_[356] + vX_[599] * vX_[383];
+ vX_[3449] = vX_[644] + vX_[3449] * vX_[355] + vX_[683] * vX_[436] * 2. + vX_[3275] * vX_[720];
+ vX_[644] = 0 - vX_[599];
+ vX_[3436] = 0 - (vX_[582] * vX_[435] + vX_[3488] * vX_[447] + vX_[3491] * vX_[449] + vX_[3447] * vX_[355] + vX_[3436] * vX_[436] + vX_[3365] * vX_[451] + vX_[3407] * vX_[726] + vX_[3270] * vX_[723]);
+ vX_[3491] = 0 - vX_[3490];
+ vX_[3458] = vX_[624] + vX_[3458] * vX_[355] + vX_[3467] * vX_[451] * 2. + vX_[3270] * vX_[720] + vX_[3267] * vX_[726];
+ vX_[3467] = 0 - vX_[3458];
+ vX_[3466] = vX_[3363] + vX_[471] * vX_[355] + vX_[3466] * vX_[451] + vX_[3270] * vX_[721] + vX_[3412] * vX_[726];
+ vX_[3363] = 0 - vX_[3466];
+ vX_[471] = (vX_[3491] * vX_[396] + vX_[3467] * vX_[458] + vX_[3363] * vX_[467]) * 1 / vX_[432];
+ vX_[3491] = vX_[3409] * vX_[710] + vX_[644] * vX_[445] + vX_[3436] * vX_[433] + vX_[3491] * vX_[461] + vX_[471];
+ vX_[580] = vX_[3276] + vX_[564] * vX_[436] + vX_[580] * vX_[355] * 2. + vX_[3275] * vX_[721];
+ vX_[3486] = 0 - vX_[3486];
+ vX_[586] = 0 - (0 - (vX_[552] * vX_[449] + vX_[586] * vX_[447]) + vX_[3277] * vX_[451] + vX_[3487] * vX_[355] + vX_[699] * vX_[436] + vX_[3275] * vX_[723]);
+ vX_[699] = 0 - vX_[3449];
+ vX_[552] = 0 - vX_[580];
+ vX_[644] = (vX_[3486] * vX_[444] + vX_[586] * vX_[406] + vX_[644] * vX_[396] + vX_[699] * vX_[458] + vX_[552] * vX_[467]) * 1 / vX_[432];
+ vX_[3486] = vX_[3406] * vX_[710] + vX_[3486] * vX_[445] + vX_[644];
+ vX_[444] = vX_[3491] * vX_[395] + vX_[3486] * vX_[383];
+ vX_[3487] = vX_[3491] * vX_[383] + vX_[3486] * vX_[356];
+ vX_[3277] = vX_[580] * vX_[383] + vX_[3466] * vX_[395];
+ vX_[355] = vX_[580] * vX_[356] + vX_[3466] * vX_[383];
+ vX_[705] = vX_[3272] + vX_[705] * vX_[436] + vX_[3453] * vX_[451] * 2. + vX_[3407] * vX_[721] + vX_[3412] * vX_[723];
+ vX_[3272] = vX_[3458] - vX_[705];
+ vX_[3489] = 0 - (vX_[3489] + vX_[3472] * vX_[436] + vX_[578] * vX_[451] + vX_[3407] * vX_[723]);
+ vX_[566] = 0 - (vX_[566] + vX_[3450] * vX_[436] + vX_[564] * vX_[451] + vX_[3407] * vX_[720] + vX_[3267] * vX_[723]);
+ vX_[705] = 0 - vX_[705];
+ vX_[3436] = (vX_[3489] * vX_[406] + vX_[3436] * vX_[396] + vX_[566] * vX_[458] + vX_[705] * vX_[467]) * 1 / vX_[432];
+ vX_[3489] = 0 - vX_[3449] + vX_[3408] * vX_[710] + vX_[586] * vX_[445] + vX_[3489] * vX_[433] + vX_[3436];
+ vX_[3453] = vX_[3453] + vX_[3412] * vX_[721];
+ vX_[683] = vX_[683] + vX_[3267] * vX_[720];
+ vX_[586] = 0 - vX_[683];
+ vX_[564] = vX_[564] + vX_[3267] * vX_[721] + vX_[3412] * vX_[720];
+ vX_[721] = 0 - vX_[564];
+ vX_[458] = (vX_[586] * vX_[458] + vX_[721] * vX_[467]) * 1 / vX_[432];
+ vX_[720] = 0 - vX_[3453];
+ vX_[467] = vX_[720] * vX_[467] * 1 / vX_[432];
+ vX_[3436] = 0 - vX_[3406] * vX_[689] - vX_[3408] * vX_[707] - vX_[3409] * vX_[493] - vX_[3410] * vX_[971] + vX_[3410] * vX_[710] - vX_[3411] * vX_[744] - vX_[3413] * vX_[729] - vX_[644] * vX_[445] - vX_[3436] * vX_[433] - vX_[471] * vX_[461] - vX_[458] * vX_[513] - vX_[467] * vX_[522];
+ vX_[644] = 0 - vX_[3453] + vX_[3436];
+ vX_[467] = vX_[3413] * vX_[710] + vX_[552] * vX_[445] + vX_[705] * vX_[433] + vX_[3363] * vX_[461] + vX_[721] * vX_[513] + vX_[720] * vX_[522] + vX_[467];
+ vX_[458] = vX_[3411] * vX_[710] + vX_[699] * vX_[445] + vX_[566] * vX_[433] + vX_[3467] * vX_[461] + vX_[586] * vX_[513] + vX_[458];
+ vX_[586] = vX_[644] * vX_[383] + vX_[467] * vX_[395];
+ vX_[566] = vX_[644] * vX_[356] + vX_[467] * vX_[383];
+ vX_[699] = vX_[586] * vX_[356] + vX_[566] * vX_[383];
+ vX_[3467] = vX_[3453] + vX_[586] * vX_[383];
+ vX_[3411] = vX_[3453] + vX_[566] * vX_[356];
+ vX_[3436] = vX_[683] + vX_[3453] + vX_[3436] - vX_[3467] - vX_[3411];
+ vX_[683] = 0 - vX_[3436];
+ vX_[3453] = (vX_[3449] * vX_[383] + vX_[3458] * vX_[395]) * -1;
+ vX_[710] = vX_[3453] + vX_[683] * vX_[397];
+ vX_[513] = 0 - vX_[710];
+ vX_[3453] = 0 - (vX_[3272] * vX_[356] + vX_[3489] * vX_[383]) + vX_[3453];
+ vX_[461] = (vX_[3449] * vX_[356] + vX_[3458] * vX_[383]) * -1;
+ vX_[445] = vX_[461] + vX_[3436] * vX_[402];
+ vX_[433] = 0 - vX_[445];
+ vX_[720] = 0 - (vX_[564] * vX_[356] + vX_[458] * vX_[383]) + vX_[564] * vX_[395] * -1 * 2.;
+ vX_[721] = 0 - vX_[720];
+ vX_[705] = vX_[564] * vX_[383] + vX_[458] * vX_[395] + vX_[564] * vX_[383] * -1 * 2.;
+ vX_[552] = 0 - vX_[705];
+ vX_[3363] = 0 - vX_[3411];
+ vX_[461] = vX_[3272] * vX_[383] + vX_[3489] * vX_[395] + vX_[461];
+ vX_[3413] = 0 - vX_[699];
+ vX_[522] = 0 - vX_[3411];
+ jac[287] = 0 - (vX_[3275] * vX_[743] + vX_[3270] * vX_[738] + vX_[3405] * vX_[714] + vX_[3412] * vX_[638] + vX_[550] * vX_[442] + vX_[599] * vX_[440] + vX_[3440] * vX_[441] + vX_[3392] * vX_[411] + vX_[3449] * vX_[399] + vX_[3491] * vX_[388] + vX_[580] * vX_[465] + vX_[3458] * vX_[454] + vX_[3486] * vX_[394] + vX_[3466] * vX_[466] + vX_[444] * vX_[393] + vX_[3487] * vX_[387] + vX_[3277] * vX_[392] + vX_[355] * vX_[382] + vX_[3272] * vX_[404] + vX_[3489] * vX_[400] + vX_[644] * vX_[430] + vX_[467] * vX_[428] + vX_[564] * vX_[568] + vX_[564] * vX_[455] + vX_[458] * vX_[457] + vX_[586] * vX_[379] + vX_[566] * vX_[427] + (vX_[699] * vX_[403] + vX_[683] * vX_[413] + vX_[3467] * vX_[398] + vX_[513] * vX_[409] + (vX_[3453] + vX_[3467] * vX_[397]) * 4.027 + vX_[433] * vX_[411] + vX_[721] * vX_[393] + vX_[552] * vX_[392] + vX_[699] * vX_[377] + vX_[3467] * vX_[429]) * -0.08 + vX_[3475] * vX_[702] + vX_[618] * vX_[690] + vX_[3500] * vX_[697] + vX_[420] * vX_[664] + (vX_[3267] * vX_[743] + vX_[3475] * vX_[704]) * -0.08) * vX_[773] + (vX_[3275] * vX_[738] + vX_[3405] * vX_[638] + vX_[550] * vX_[440] + vX_[3440] * vX_[411] + vX_[3392] * vX_[439] + vX_[3449] * vX_[454] + vX_[580] * vX_[466] + vX_[3486] * vX_[388] + vX_[444] * vX_[392] + vX_[3487] * vX_[382] + vX_[3272] * vX_[400] + vX_[644] * vX_[428] + vX_[564] * vX_[457] + vX_[586] * vX_[427] + vX_[566] * vX_[424] + vX_[618] * vX_[702] + vX_[420] * vX_[697] - (vX_[3270] * vX_[743] + vX_[3475] * vX_[690]) + (vX_[3267] * vX_[738] + (vX_[3436] * vX_[412] + vX_[3363] * vX_[403] + vX_[710] * vX_[411] + vX_[445] * vX_[410] + (0 - (vX_[461] + vX_[699] * vX_[397] + vX_[3363] * vX_[402])) * 4.027 + vX_[720] * vX_[387] + vX_[705] * vX_[382] + vX_[3413] * vX_[389] + vX_[522] * vX_[423]) * -1 + vX_[618] * vX_[704]) * -0.08 - (vX_[3412] * vX_[714] + vX_[599] * vX_[442] + vX_[3491] * vX_[394] + vX_[3458] * vX_[399] + vX_[3466] * vX_[465] + vX_[3277] * vX_[393] + vX_[355] * vX_[387] + vX_[3489] * vX_[404] + vX_[467] * vX_[430] + vX_[564] * vX_[456] + vX_[458] * vX_[455] + vX_[3500] * vX_[664])) * vX_[1030];
+ vX_[1033] = vX_[1108] + vX_[1073] * vX_[383] + vX_[1033] * vX_[397] + vX_[764] * vX_[740];
+ vX_[1102] = vX_[1108] + vX_[759] * vX_[356] + vX_[1102] * vX_[402] + vX_[765] * vX_[741];
+ vX_[1108] = vX_[1033] - vX_[1102];
+ vX_[1072] = vX_[1073] * vX_[356] + vX_[759] * vX_[383] + vX_[801] * vX_[402] + vX_[1072] * vX_[397] + vX_[764] * vX_[741] + vX_[765] * vX_[740];
+ vX_[801] = vX_[1108] * vX_[357] + vX_[1072] * vX_[360];
+ vX_[759] = vX_[1108] * vX_[359] + vX_[1072] * vX_[357];
+ vX_[1033] = 0 - vX_[1033];
+ vX_[1073] = 0 - vX_[1072];
+ vX_[1067] = vX_[1099] * vX_[383] + vX_[757] * vX_[395] + vX_[1067] * vX_[397] + vX_[764] * vX_[716] + vX_[779] * vX_[740];
+ vX_[3363] = 0 - vX_[1067];
+ vX_[774] = vX_[1099] * vX_[356] + vX_[757] * vX_[383] + vX_[774] * vX_[397] + vX_[764] * vX_[717] + vX_[781] * vX_[740];
+ vX_[757] = 0 - vX_[774];
+ vX_[1099] = (vX_[1033] * vX_[390] + vX_[1073] * vX_[378] + vX_[3363] * vX_[386] + vX_[757] * vX_[368]) * 1 / vX_[380];
+ vX_[1033] = vX_[767] * vX_[746] + vX_[1033] * vX_[391] + vX_[1099];
+ vX_[1102] = 0 - vX_[1102];
+ vX_[778] = vX_[1059] * vX_[383] + vX_[1066] * vX_[395] + vX_[778] * vX_[402] + vX_[765] * vX_[716] + vX_[779] * vX_[741];
+ vX_[683] = 0 - vX_[778];
+ vX_[775] = vX_[1059] * vX_[356] + vX_[1066] * vX_[383] + vX_[775] * vX_[402] + vX_[765] * vX_[717] + vX_[781] * vX_[741];
+ vX_[1066] = 0 - vX_[775];
+ vX_[1059] = (vX_[1102] * vX_[378] + vX_[683] * vX_[386] + vX_[1066] * vX_[368]) * 1 / vX_[380];
+ vX_[1102] = vX_[768] * vX_[746] + vX_[1073] * vX_[391] + vX_[1102] * vX_[381] + vX_[1059];
+ vX_[1105] = vX_[1071] + vX_[980] * vX_[397] + vX_[1105] * vX_[402] * 2. + vX_[1077] * vX_[717] - vX_[1102];
+ vX_[1106] = 0 - (vX_[1057] + vX_[1106] * vX_[402] + vX_[1076] * vX_[397] * 2. + vX_[1077] * vX_[716]) + vX_[1033];
+ vX_[1076] = vX_[1076] + vX_[779] * vX_[716];
+ vX_[776] = vX_[776] + vX_[781] * vX_[717];
+ vX_[1057] = vX_[1076] - vX_[776];
+ vX_[1077] = 0 - vX_[1076];
+ vX_[980] = vX_[980] + vX_[779] * vX_[717] + vX_[781] * vX_[716];
+ vX_[1071] = 0 - vX_[980];
+ vX_[1073] = (vX_[1077] * vX_[386] + vX_[1071] * vX_[368]) * 1 / vX_[380];
+ vX_[1077] = vX_[780] * vX_[746] + vX_[3363] * vX_[391] + vX_[683] * vX_[381] + vX_[1077] * vX_[425] + vX_[1073];
+ vX_[683] = 0 - vX_[776];
+ vX_[3363] = vX_[683] * vX_[368] * 1 / vX_[380];
+ vX_[683] = vX_[782] * vX_[746] + vX_[757] * vX_[391] + vX_[1066] * vX_[381] + vX_[1071] * vX_[425] + vX_[683] * vX_[421] + vX_[3363];
+ vX_[1071] = 0 - vX_[683];
+ vX_[1066] = vX_[1057] * vX_[357] + vX_[980] * vX_[360];
+ vX_[757] = vX_[1057] * vX_[359] + vX_[980] * vX_[357];
+ vX_[3436] = vX_[1066] * vX_[359] + vX_[757] * vX_[357];
+ vX_[566] = vX_[776] + vX_[1066] * vX_[357];
+ vX_[586] = vX_[776] + vX_[757] * vX_[359];
+ vX_[3363] = vX_[1076] + vX_[776] + 0 - vX_[767] * vX_[837] - vX_[768] * vX_[742] - vX_[769] * vX_[745] + vX_[769] * vX_[746] - vX_[780] * vX_[733] - vX_[782] * vX_[732] - vX_[1099] * vX_[391] - vX_[1059] * vX_[381] - vX_[1073] * vX_[425] - vX_[3363] * vX_[421] - vX_[566] - vX_[586];
+ vX_[1073] = 0 - vX_[3363];
+ vX_[776] = vX_[1033] * vX_[357] + vX_[1102] * vX_[360];
+ vX_[1076] = vX_[776] + vX_[1073] * vX_[365];
+ vX_[1059] = vX_[1033] * vX_[359] + vX_[1102] * vX_[357];
+ vX_[1099] = vX_[1059] + vX_[3363] * vX_[362];
+ vX_[782] = sin(x_in[8]);
+ vX_[780] = 0 - vX_[683];
+ vX_[769] = 0 - vX_[586];
+ vX_[768] = cos(x_in[8]);
+ jac[306] = 0 - (vX_[764] * vX_[736] + vX_[765] * vX_[748] + vX_[779] * vX_[734] + vX_[781] * vX_[124] + vX_[1108] * vX_[408] + vX_[1072] * vX_[407] + vX_[801] * -0.466187537174287 + vX_[759] * 0.00185880198235362 + vX_[1033] * vX_[372] + vX_[1102] * vX_[376] + vX_[778] * vX_[385] + vX_[774] * vX_[358] + vX_[1067] * vX_[384] + vX_[775] * vX_[361] + (vX_[778] * vX_[357] + vX_[1067] * vX_[359]) * -8.81e-05 + (vX_[774] * vX_[357] + vX_[775] * vX_[360]) * 8.81e-05 + vX_[1105] * vX_[375] + vX_[1106] * vX_[371] + vX_[1057] * vX_[419] + vX_[1077] * vX_[364] + vX_[683] * vX_[367] + vX_[980] * vX_[418] + vX_[1071] * vX_[366] + vX_[1077] * vX_[363] + vX_[1066] * vX_[415] + vX_[757] * vX_[417] + (vX_[3436] * vX_[374] + vX_[1073] * vX_[369] + vX_[566] * vX_[370] + (0 - vX_[1076]) * 0.414812462825713 + (0 - (vX_[1105] * vX_[359] + vX_[1106] * vX_[357]) + vX_[776] + vX_[566] * vX_[365]) * 0.881 + (0 - vX_[1099]) * 0.00185880198235362 + (0 - (vX_[1071] * vX_[357] + vX_[1077] * vX_[360] + (vX_[1077] * vX_[359] + vX_[683] * vX_[357]) * 2.)) * 8.81e-05 + vX_[3436] * 0.0004405 + vX_[566] * -0.2209548) * -0.35 + vX_[1081] * vX_[653] + vX_[1082] * vX_[649] + vX_[1113] * vX_[651] + vX_[1078] * vX_[626] + (vX_[766] * vX_[736] + vX_[1081] * vX_[628]) * 0.35) * vX_[782] + (vX_[764] * vX_[748] + vX_[779] * vX_[124] + vX_[1108] * vX_[407] + vX_[801] * 0.00185880198235362 + vX_[759] * -7.4114911576828e-06 + vX_[1033] * vX_[376] + vX_[774] * vX_[361] + vX_[1067] * vX_[385] + (vX_[778] * vX_[360] + vX_[1067] * vX_[357]) * 8.81e-05 + vX_[1105] * vX_[371] + vX_[1057] * vX_[418] + vX_[1077] * vX_[367] + vX_[780] * vX_[363] + vX_[1066] * vX_[417] + vX_[757] * vX_[416] + vX_[1082] * vX_[653] + vX_[1078] * vX_[651] - (vX_[765] * vX_[736] + vX_[1081] * vX_[649]) + (vX_[766] * vX_[748] + vX_[3363] * vX_[373] + vX_[769] * vX_[374] + vX_[1076] * 0.00185880198235362 + vX_[1099] * 0.880992588508842 + (0 - (vX_[1105] * vX_[357] + vX_[1106] * vX_[360] + vX_[1059] + vX_[3436] * vX_[365] + vX_[769] * vX_[362])) * 0.881 + (0 - (vX_[780] * vX_[359] + vX_[1077] * vX_[357]) + (vX_[1077] * vX_[357] + vX_[683] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[3436]) * -0.1104774 + (0 - vX_[586]) * 0.000881 + vX_[1082] * vX_[628]) * 0.35 - (vX_[781] * vX_[734] + vX_[1072] * vX_[408] + vX_[1102] * vX_[372] + vX_[778] * vX_[384] + vX_[775] * vX_[358] + (vX_[774] * vX_[359] + vX_[775] * vX_[357]) * -8.81e-05 + vX_[1106] * vX_[375] + vX_[683] * vX_[364] + vX_[980] * vX_[419] + vX_[1077] * vX_[366] + vX_[1113] * vX_[626])) * vX_[768];
+ vX_[1165] = vX_[1241] + vX_[1206] * vX_[383] + vX_[1165] * vX_[397] + vX_[753] * vX_[740];
+ vX_[1235] = vX_[1241] + vX_[1024] * vX_[356] + vX_[1235] * vX_[402] + vX_[1026] * vX_[741];
+ vX_[1241] = vX_[1165] - vX_[1235];
+ vX_[1205] = vX_[1206] * vX_[356] + vX_[1024] * vX_[383] + vX_[1216] * vX_[402] + vX_[1205] * vX_[397] + vX_[753] * vX_[741] + vX_[1026] * vX_[740];
+ vX_[1216] = vX_[1241] * vX_[357] + vX_[1205] * vX_[360];
+ vX_[1024] = vX_[1241] * vX_[359] + vX_[1205] * vX_[357];
+ vX_[1165] = 0 - vX_[1165];
+ vX_[1206] = 0 - vX_[1205];
+ vX_[1200] = vX_[1232] * vX_[383] + vX_[898] * vX_[395] + vX_[1200] * vX_[397] + vX_[753] * vX_[716] + vX_[1079] * vX_[740];
+ vX_[769] = 0 - vX_[1200];
+ vX_[791] = vX_[1232] * vX_[356] + vX_[898] * vX_[383] + vX_[791] * vX_[397] + vX_[753] * vX_[717] + vX_[790] * vX_[740];
+ vX_[898] = 0 - vX_[791];
+ vX_[1232] = (vX_[1165] * vX_[390] + vX_[1206] * vX_[378] + vX_[769] * vX_[386] + vX_[898] * vX_[368]) * 1 / vX_[380];
+ vX_[1165] = vX_[1084] * vX_[746] + vX_[1165] * vX_[391] + vX_[1232];
+ vX_[1235] = 0 - vX_[1235];
+ vX_[1111] = vX_[1192] * vX_[383] + vX_[1199] * vX_[395] + vX_[1111] * vX_[402] + vX_[1026] * vX_[716] + vX_[1079] * vX_[741];
+ vX_[780] = 0 - vX_[1111];
+ vX_[795] = vX_[1192] * vX_[356] + vX_[1199] * vX_[383] + vX_[795] * vX_[402] + vX_[1026] * vX_[717] + vX_[790] * vX_[741];
+ vX_[1199] = 0 - vX_[795];
+ vX_[1192] = (vX_[1235] * vX_[378] + vX_[780] * vX_[386] + vX_[1199] * vX_[368]) * 1 / vX_[380];
+ vX_[1235] = vX_[797] * vX_[746] + vX_[1206] * vX_[391] + vX_[1235] * vX_[381] + vX_[1192];
+ vX_[1239] = vX_[1204] + vX_[1149] * vX_[397] + vX_[1239] * vX_[402] * 2. + vX_[1210] * vX_[717] - vX_[1235];
+ vX_[1087] = 0 - (vX_[1190] + vX_[1087] * vX_[402] + vX_[1209] * vX_[397] * 2. + vX_[1210] * vX_[716]) + vX_[1165];
+ vX_[1209] = vX_[1209] + vX_[1079] * vX_[716];
+ vX_[794] = vX_[794] + vX_[790] * vX_[717];
+ vX_[1190] = vX_[1209] - vX_[794];
+ vX_[1210] = 0 - vX_[1209];
+ vX_[1149] = vX_[1149] + vX_[1079] * vX_[717] + vX_[790] * vX_[716];
+ vX_[1204] = 0 - vX_[1149];
+ vX_[1206] = (vX_[1210] * vX_[386] + vX_[1204] * vX_[368]) * 1 / vX_[380];
+ vX_[1210] = vX_[792] * vX_[746] + vX_[769] * vX_[391] + vX_[780] * vX_[381] + vX_[1210] * vX_[425] + vX_[1206];
+ vX_[780] = 0 - vX_[794];
+ vX_[769] = vX_[780] * vX_[368] * 1 / vX_[380];
+ vX_[780] = vX_[1114] * vX_[746] + vX_[898] * vX_[391] + vX_[1199] * vX_[381] + vX_[1204] * vX_[425] + vX_[780] * vX_[421] + vX_[769];
+ vX_[1204] = 0 - vX_[780];
+ vX_[1199] = vX_[1190] * vX_[357] + vX_[1149] * vX_[360];
+ vX_[898] = vX_[1190] * vX_[359] + vX_[1149] * vX_[357];
+ vX_[1099] = vX_[1199] * vX_[359] + vX_[898] * vX_[357];
+ vX_[1059] = vX_[794] + vX_[1199] * vX_[357];
+ vX_[1076] = vX_[794] + vX_[898] * vX_[359];
+ vX_[769] = vX_[1209] + vX_[794] + 0 - vX_[1084] * vX_[837] - vX_[797] * vX_[742] - vX_[1116] * vX_[745] + vX_[1116] * vX_[746] - vX_[792] * vX_[733] - vX_[1114] * vX_[732] - vX_[1232] * vX_[391] - vX_[1192] * vX_[381] - vX_[1206] * vX_[425] - vX_[769] * vX_[421] - vX_[1059] - vX_[1076];
+ vX_[1206] = 0 - vX_[769];
+ vX_[794] = vX_[1165] * vX_[357] + vX_[1235] * vX_[360];
+ vX_[1209] = vX_[794] + vX_[1206] * vX_[365];
+ vX_[1192] = vX_[1165] * vX_[359] + vX_[1235] * vX_[357];
+ vX_[1232] = vX_[1192] + vX_[769] * vX_[362];
+ vX_[1114] = 0 - vX_[780];
+ vX_[792] = 0 - vX_[1076];
+ jac[307] = 0 - (vX_[753] * vX_[736] + vX_[1026] * vX_[748] + vX_[1079] * vX_[734] + vX_[790] * vX_[124] + vX_[1241] * vX_[408] + vX_[1205] * vX_[407] + vX_[1216] * -0.466187537174287 + vX_[1024] * 0.00185880198235362 + vX_[1165] * vX_[372] + vX_[1235] * vX_[376] + vX_[1111] * vX_[385] + vX_[791] * vX_[358] + vX_[1200] * vX_[384] + vX_[795] * vX_[361] + (vX_[1111] * vX_[357] + vX_[1200] * vX_[359]) * -8.81e-05 + (vX_[791] * vX_[357] + vX_[795] * vX_[360]) * 8.81e-05 + vX_[1239] * vX_[375] + vX_[1087] * vX_[371] + vX_[1190] * vX_[419] + vX_[1210] * vX_[364] + vX_[780] * vX_[367] + vX_[1149] * vX_[418] + vX_[1204] * vX_[366] + vX_[1210] * vX_[363] + vX_[1199] * vX_[415] + vX_[898] * vX_[417] + (vX_[1099] * vX_[374] + vX_[1206] * vX_[369] + vX_[1059] * vX_[370] + (0 - vX_[1209]) * 0.414812462825713 + (0 - (vX_[1239] * vX_[359] + vX_[1087] * vX_[357]) + vX_[794] + vX_[1059] * vX_[365]) * 0.881 + (0 - vX_[1232]) * 0.00185880198235362 + (0 - (vX_[1204] * vX_[357] + vX_[1210] * vX_[360] + (vX_[1210] * vX_[359] + vX_[780] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1099] * 0.0004405 + vX_[1059] * -0.2209548) * -0.35 + vX_[1214] * vX_[653] + vX_[1215] * vX_[649] + vX_[1246] * vX_[651] + vX_[1211] * vX_[626] + (vX_[1054] * vX_[736] + vX_[1214] * vX_[628]) * 0.35) * vX_[782] + (vX_[753] * vX_[748] + vX_[1079] * vX_[124] + vX_[1241] * vX_[407] + vX_[1216] * 0.00185880198235362 + vX_[1024] * -7.4114911576828e-06 + vX_[1165] * vX_[376] + vX_[791] * vX_[361] + vX_[1200] * vX_[385] + (vX_[1111] * vX_[360] + vX_[1200] * vX_[357]) * 8.81e-05 + vX_[1239] * vX_[371] + vX_[1190] * vX_[418] + vX_[1210] * vX_[367] + vX_[1114] * vX_[363] + vX_[1199] * vX_[417] + vX_[898] * vX_[416] + vX_[1215] * vX_[653] + vX_[1211] * vX_[651] - (vX_[1026] * vX_[736] + vX_[1214] * vX_[649]) + (vX_[1054] * vX_[748] + vX_[769] * vX_[373] + vX_[792] * vX_[374] + vX_[1209] * 0.00185880198235362 + vX_[1232] * 0.880992588508842 + (0 - (vX_[1239] * vX_[357] + vX_[1087] * vX_[360] + vX_[1192] + vX_[1099] * vX_[365] + vX_[792] * vX_[362])) * 0.881 + (0 - (vX_[1114] * vX_[359] + vX_[1210] * vX_[357]) + (vX_[1210] * vX_[357] + vX_[780] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1099]) * -0.1104774 + (0 - vX_[1076]) * 0.000881 + vX_[1215] * vX_[628]) * 0.35 - (vX_[790] * vX_[734] + vX_[1205] * vX_[408] + vX_[1235] * vX_[372] + vX_[1111] * vX_[384] + vX_[795] * vX_[358] + (vX_[791] * vX_[359] + vX_[795] * vX_[357]) * -8.81e-05 + vX_[1087] * vX_[375] + vX_[780] * vX_[364] + vX_[1149] * vX_[419] + vX_[1210] * vX_[366] + vX_[1246] * vX_[626])) * vX_[768];
+ vX_[1296] = vX_[1372] + vX_[1337] * vX_[383] + vX_[1296] * vX_[397] + vX_[1060] * vX_[740];
+ vX_[1366] = vX_[1372] + vX_[1174] * vX_[356] + vX_[1366] * vX_[402] + vX_[1156] * vX_[741];
+ vX_[1372] = vX_[1296] - vX_[1366];
+ vX_[1336] = vX_[1337] * vX_[356] + vX_[1174] * vX_[383] + vX_[1347] * vX_[402] + vX_[1336] * vX_[397] + vX_[1060] * vX_[741] + vX_[1156] * vX_[740];
+ vX_[1347] = vX_[1372] * vX_[357] + vX_[1336] * vX_[360];
+ vX_[1174] = vX_[1372] * vX_[359] + vX_[1336] * vX_[357];
+ vX_[1296] = 0 - vX_[1296];
+ vX_[1337] = 0 - vX_[1336];
+ vX_[1331] = vX_[1363] * vX_[383] + vX_[1173] * vX_[395] + vX_[1331] * vX_[397] + vX_[1060] * vX_[716] + vX_[784] * vX_[740];
+ vX_[792] = 0 - vX_[1331];
+ vX_[1249] = vX_[1363] * vX_[356] + vX_[1173] * vX_[383] + vX_[1249] * vX_[397] + vX_[1060] * vX_[717] + vX_[1128] * vX_[740];
+ vX_[1173] = 0 - vX_[1249];
+ vX_[1363] = (vX_[1296] * vX_[390] + vX_[1337] * vX_[378] + vX_[792] * vX_[386] + vX_[1173] * vX_[368]) * 1 / vX_[380];
+ vX_[1296] = vX_[1058] * vX_[746] + vX_[1296] * vX_[391] + vX_[1363];
+ vX_[1366] = 0 - vX_[1366];
+ vX_[1248] = vX_[1323] * vX_[383] + vX_[1330] * vX_[395] + vX_[1248] * vX_[402] + vX_[1156] * vX_[716] + vX_[784] * vX_[741];
+ vX_[1114] = 0 - vX_[1248];
+ vX_[1252] = vX_[1323] * vX_[356] + vX_[1330] * vX_[383] + vX_[1252] * vX_[402] + vX_[1156] * vX_[717] + vX_[1128] * vX_[741];
+ vX_[1330] = 0 - vX_[1252];
+ vX_[1323] = (vX_[1366] * vX_[378] + vX_[1114] * vX_[386] + vX_[1330] * vX_[368]) * 1 / vX_[380];
+ vX_[1366] = vX_[1157] * vX_[746] + vX_[1337] * vX_[391] + vX_[1366] * vX_[381] + vX_[1323];
+ vX_[1370] = vX_[1335] + vX_[1278] * vX_[397] + vX_[1370] * vX_[402] * 2. + vX_[1341] * vX_[717] - vX_[1366];
+ vX_[1187] = 0 - (vX_[1321] + vX_[1187] * vX_[402] + vX_[1340] * vX_[397] * 2. + vX_[1341] * vX_[716]) + vX_[1296];
+ vX_[1340] = vX_[1340] + vX_[784] * vX_[716];
+ vX_[1220] = vX_[1220] + vX_[1128] * vX_[717];
+ vX_[1321] = vX_[1340] - vX_[1220];
+ vX_[1341] = 0 - vX_[1340];
+ vX_[1278] = vX_[1278] + vX_[784] * vX_[717] + vX_[1128] * vX_[716];
+ vX_[1335] = 0 - vX_[1278];
+ vX_[1337] = (vX_[1341] * vX_[386] + vX_[1335] * vX_[368]) * 1 / vX_[380];
+ vX_[1341] = vX_[1129] * vX_[746] + vX_[792] * vX_[391] + vX_[1114] * vX_[381] + vX_[1341] * vX_[425] + vX_[1337];
+ vX_[1114] = 0 - vX_[1220];
+ vX_[792] = vX_[1114] * vX_[368] * 1 / vX_[380];
+ vX_[1114] = vX_[1127] * vX_[746] + vX_[1173] * vX_[391] + vX_[1330] * vX_[381] + vX_[1335] * vX_[425] + vX_[1114] * vX_[421] + vX_[792];
+ vX_[1335] = 0 - vX_[1114];
+ vX_[1330] = vX_[1321] * vX_[357] + vX_[1278] * vX_[360];
+ vX_[1173] = vX_[1321] * vX_[359] + vX_[1278] * vX_[357];
+ vX_[1232] = vX_[1330] * vX_[359] + vX_[1173] * vX_[357];
+ vX_[1192] = vX_[1220] + vX_[1330] * vX_[357];
+ vX_[1209] = vX_[1220] + vX_[1173] * vX_[359];
+ vX_[792] = vX_[1340] + vX_[1220] + 0 - vX_[1058] * vX_[837] - vX_[1157] * vX_[742] - vX_[786] * vX_[745] + vX_[786] * vX_[746] - vX_[1129] * vX_[733] - vX_[1127] * vX_[732] - vX_[1363] * vX_[391] - vX_[1323] * vX_[381] - vX_[1337] * vX_[425] - vX_[792] * vX_[421] - vX_[1192] - vX_[1209];
+ vX_[1337] = 0 - vX_[792];
+ vX_[1220] = vX_[1296] * vX_[357] + vX_[1366] * vX_[360];
+ vX_[1340] = vX_[1220] + vX_[1337] * vX_[365];
+ vX_[1323] = vX_[1296] * vX_[359] + vX_[1366] * vX_[357];
+ vX_[1363] = vX_[1323] + vX_[792] * vX_[362];
+ vX_[1127] = 0 - vX_[1114];
+ vX_[1129] = 0 - vX_[1209];
+ jac[308] = 0 - (vX_[1060] * vX_[736] + vX_[1156] * vX_[748] + vX_[784] * vX_[734] + vX_[1128] * vX_[124] + vX_[1372] * vX_[408] + vX_[1336] * vX_[407] + vX_[1347] * -0.466187537174287 + vX_[1174] * 0.00185880198235362 + vX_[1296] * vX_[372] + vX_[1366] * vX_[376] + vX_[1248] * vX_[385] + vX_[1249] * vX_[358] + vX_[1331] * vX_[384] + vX_[1252] * vX_[361] + (vX_[1248] * vX_[357] + vX_[1331] * vX_[359]) * -8.81e-05 + (vX_[1249] * vX_[357] + vX_[1252] * vX_[360]) * 8.81e-05 + vX_[1370] * vX_[375] + vX_[1187] * vX_[371] + vX_[1321] * vX_[419] + vX_[1341] * vX_[364] + vX_[1114] * vX_[367] + vX_[1278] * vX_[418] + vX_[1335] * vX_[366] + vX_[1341] * vX_[363] + vX_[1330] * vX_[415] + vX_[1173] * vX_[417] + (vX_[1232] * vX_[374] + vX_[1337] * vX_[369] + vX_[1192] * vX_[370] + (0 - vX_[1340]) * 0.414812462825713 + (0 - (vX_[1370] * vX_[359] + vX_[1187] * vX_[357]) + vX_[1220] + vX_[1192] * vX_[365]) * 0.881 + (0 - vX_[1363]) * 0.00185880198235362 + (0 - (vX_[1335] * vX_[357] + vX_[1341] * vX_[360] + (vX_[1341] * vX_[359] + vX_[1114] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1232] * 0.0004405 + vX_[1192] * -0.2209548) * -0.35 + vX_[1345] * vX_[653] + vX_[1346] * vX_[649] + vX_[1377] * vX_[651] + vX_[1342] * vX_[626] + (vX_[1167] * vX_[736] + vX_[1345] * vX_[628]) * 0.35) * vX_[782] + (vX_[1060] * vX_[748] + vX_[784] * vX_[124] + vX_[1372] * vX_[407] + vX_[1347] * 0.00185880198235362 + vX_[1174] * -7.4114911576828e-06 + vX_[1296] * vX_[376] + vX_[1249] * vX_[361] + vX_[1331] * vX_[385] + (vX_[1248] * vX_[360] + vX_[1331] * vX_[357]) * 8.81e-05 + vX_[1370] * vX_[371] + vX_[1321] * vX_[418] + vX_[1341] * vX_[367] + vX_[1127] * vX_[363] + vX_[1330] * vX_[417] + vX_[1173] * vX_[416] + vX_[1346] * vX_[653] + vX_[1342] * vX_[651] - (vX_[1156] * vX_[736] + vX_[1345] * vX_[649]) + (vX_[1167] * vX_[748] + vX_[792] * vX_[373] + vX_[1129] * vX_[374] + vX_[1340] * 0.00185880198235362 + vX_[1363] * 0.880992588508842 + (0 - (vX_[1370] * vX_[357] + vX_[1187] * vX_[360] + vX_[1323] + vX_[1232] * vX_[365] + vX_[1129] * vX_[362])) * 0.881 + (0 - (vX_[1127] * vX_[359] + vX_[1341] * vX_[357]) + (vX_[1341] * vX_[357] + vX_[1114] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1232]) * -0.1104774 + (0 - vX_[1209]) * 0.000881 + vX_[1346] * vX_[628]) * 0.35 - (vX_[1128] * vX_[734] + vX_[1336] * vX_[408] + vX_[1366] * vX_[372] + vX_[1248] * vX_[384] + vX_[1252] * vX_[358] + (vX_[1249] * vX_[359] + vX_[1252] * vX_[357]) * -8.81e-05 + vX_[1187] * vX_[375] + vX_[1114] * vX_[364] + vX_[1278] * vX_[419] + vX_[1341] * vX_[366] + vX_[1377] * vX_[626])) * vX_[768];
+ vX_[1427] = vX_[1503] + vX_[1468] * vX_[383] + vX_[1427] * vX_[397] + vX_[1286] * vX_[740];
+ vX_[1497] = vX_[1503] + vX_[1304] * vX_[356] + vX_[1497] * vX_[402] + vX_[1297] * vX_[741];
+ vX_[1503] = vX_[1427] - vX_[1497];
+ vX_[1467] = vX_[1468] * vX_[356] + vX_[1304] * vX_[383] + vX_[1478] * vX_[402] + vX_[1467] * vX_[397] + vX_[1286] * vX_[741] + vX_[1297] * vX_[740];
+ vX_[1478] = vX_[1503] * vX_[357] + vX_[1467] * vX_[360];
+ vX_[1304] = vX_[1503] * vX_[359] + vX_[1467] * vX_[357];
+ vX_[1427] = 0 - vX_[1427];
+ vX_[1468] = 0 - vX_[1467];
+ vX_[1462] = vX_[1494] * vX_[383] + vX_[1324] * vX_[395] + vX_[1462] * vX_[397] + vX_[1286] * vX_[716] + vX_[1349] * vX_[740];
+ vX_[1129] = 0 - vX_[1462];
+ vX_[1348] = vX_[1494] * vX_[356] + vX_[1324] * vX_[383] + vX_[1348] * vX_[397] + vX_[1286] * vX_[717] + vX_[788] * vX_[740];
+ vX_[1324] = 0 - vX_[1348];
+ vX_[1494] = (vX_[1427] * vX_[390] + vX_[1468] * vX_[378] + vX_[1129] * vX_[386] + vX_[1324] * vX_[368]) * 1 / vX_[380];
+ vX_[1427] = vX_[1287] * vX_[746] + vX_[1427] * vX_[391] + vX_[1494];
+ vX_[1497] = 0 - vX_[1497];
+ vX_[1351] = vX_[1454] * vX_[383] + vX_[1461] * vX_[395] + vX_[1351] * vX_[402] + vX_[1297] * vX_[716] + vX_[1349] * vX_[741];
+ vX_[1127] = 0 - vX_[1351];
+ vX_[1259] = vX_[1454] * vX_[356] + vX_[1461] * vX_[383] + vX_[1259] * vX_[402] + vX_[1297] * vX_[717] + vX_[788] * vX_[741];
+ vX_[1461] = 0 - vX_[1259];
+ vX_[1454] = (vX_[1497] * vX_[378] + vX_[1127] * vX_[386] + vX_[1461] * vX_[368]) * 1 / vX_[380];
+ vX_[1497] = vX_[1298] * vX_[746] + vX_[1468] * vX_[391] + vX_[1497] * vX_[381] + vX_[1454];
+ vX_[1501] = vX_[1466] + vX_[1409] * vX_[397] + vX_[1501] * vX_[402] * 2. + vX_[1472] * vX_[717] - vX_[1497];
+ vX_[1126] = 0 - (vX_[1452] + vX_[1126] * vX_[402] + vX_[1471] * vX_[397] * 2. + vX_[1472] * vX_[716]) + vX_[1427];
+ vX_[1471] = vX_[1471] + vX_[1349] * vX_[716];
+ vX_[1380] = vX_[1380] + vX_[788] * vX_[717];
+ vX_[1452] = vX_[1471] - vX_[1380];
+ vX_[1472] = 0 - vX_[1471];
+ vX_[1409] = vX_[1409] + vX_[1349] * vX_[717] + vX_[788] * vX_[716];
+ vX_[1466] = 0 - vX_[1409];
+ vX_[1468] = (vX_[1472] * vX_[386] + vX_[1466] * vX_[368]) * 1 / vX_[380];
+ vX_[1472] = vX_[1379] * vX_[746] + vX_[1129] * vX_[391] + vX_[1127] * vX_[381] + vX_[1472] * vX_[425] + vX_[1468];
+ vX_[1127] = 0 - vX_[1380];
+ vX_[1129] = vX_[1127] * vX_[368] * 1 / vX_[380];
+ vX_[1127] = vX_[1112] * vX_[746] + vX_[1324] * vX_[391] + vX_[1461] * vX_[381] + vX_[1466] * vX_[425] + vX_[1127] * vX_[421] + vX_[1129];
+ vX_[1466] = 0 - vX_[1127];
+ vX_[1461] = vX_[1452] * vX_[357] + vX_[1409] * vX_[360];
+ vX_[1324] = vX_[1452] * vX_[359] + vX_[1409] * vX_[357];
+ vX_[1363] = vX_[1461] * vX_[359] + vX_[1324] * vX_[357];
+ vX_[1323] = vX_[1380] + vX_[1461] * vX_[357];
+ vX_[1340] = vX_[1380] + vX_[1324] * vX_[359];
+ vX_[1129] = vX_[1471] + vX_[1380] + 0 - vX_[1287] * vX_[837] - vX_[1298] * vX_[742] - vX_[1195] * vX_[745] + vX_[1195] * vX_[746] - vX_[1379] * vX_[733] - vX_[1112] * vX_[732] - vX_[1494] * vX_[391] - vX_[1454] * vX_[381] - vX_[1468] * vX_[425] - vX_[1129] * vX_[421] - vX_[1323] - vX_[1340];
+ vX_[1468] = 0 - vX_[1129];
+ vX_[1380] = vX_[1427] * vX_[357] + vX_[1497] * vX_[360];
+ vX_[1471] = vX_[1380] + vX_[1468] * vX_[365];
+ vX_[1454] = vX_[1427] * vX_[359] + vX_[1497] * vX_[357];
+ vX_[1494] = vX_[1454] + vX_[1129] * vX_[362];
+ vX_[1112] = 0 - vX_[1127];
+ vX_[1379] = 0 - vX_[1340];
+ jac[309] = 0 - (vX_[1286] * vX_[736] + vX_[1297] * vX_[748] + vX_[1349] * vX_[734] + vX_[788] * vX_[124] + vX_[1503] * vX_[408] + vX_[1467] * vX_[407] + vX_[1478] * -0.466187537174287 + vX_[1304] * 0.00185880198235362 + vX_[1427] * vX_[372] + vX_[1497] * vX_[376] + vX_[1351] * vX_[385] + vX_[1348] * vX_[358] + vX_[1462] * vX_[384] + vX_[1259] * vX_[361] + (vX_[1351] * vX_[357] + vX_[1462] * vX_[359]) * -8.81e-05 + (vX_[1348] * vX_[357] + vX_[1259] * vX_[360]) * 8.81e-05 + vX_[1501] * vX_[375] + vX_[1126] * vX_[371] + vX_[1452] * vX_[419] + vX_[1472] * vX_[364] + vX_[1127] * vX_[367] + vX_[1409] * vX_[418] + vX_[1466] * vX_[366] + vX_[1472] * vX_[363] + vX_[1461] * vX_[415] + vX_[1324] * vX_[417] + (vX_[1363] * vX_[374] + vX_[1468] * vX_[369] + vX_[1323] * vX_[370] + (0 - vX_[1471]) * 0.414812462825713 + (0 - (vX_[1501] * vX_[359] + vX_[1126] * vX_[357]) + vX_[1380] + vX_[1323] * vX_[365]) * 0.881 + (0 - vX_[1494]) * 0.00185880198235362 + (0 - (vX_[1466] * vX_[357] + vX_[1472] * vX_[360] + (vX_[1472] * vX_[359] + vX_[1127] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1363] * 0.0004405 + vX_[1323] * -0.2209548) * -0.35 + vX_[1476] * vX_[653] + vX_[1477] * vX_[649] + vX_[1508] * vX_[651] + vX_[1473] * vX_[626] + (vX_[1196] * vX_[736] + vX_[1476] * vX_[628]) * 0.35) * vX_[782] + (vX_[1286] * vX_[748] + vX_[1349] * vX_[124] + vX_[1503] * vX_[407] + vX_[1478] * 0.00185880198235362 + vX_[1304] * -7.4114911576828e-06 + vX_[1427] * vX_[376] + vX_[1348] * vX_[361] + vX_[1462] * vX_[385] + (vX_[1351] * vX_[360] + vX_[1462] * vX_[357]) * 8.81e-05 + vX_[1501] * vX_[371] + vX_[1452] * vX_[418] + vX_[1472] * vX_[367] + vX_[1112] * vX_[363] + vX_[1461] * vX_[417] + vX_[1324] * vX_[416] + vX_[1477] * vX_[653] + vX_[1473] * vX_[651] - (vX_[1297] * vX_[736] + vX_[1476] * vX_[649]) + (vX_[1196] * vX_[748] + vX_[1129] * vX_[373] + vX_[1379] * vX_[374] + vX_[1471] * 0.00185880198235362 + vX_[1494] * 0.880992588508842 + (0 - (vX_[1501] * vX_[357] + vX_[1126] * vX_[360] + vX_[1454] + vX_[1363] * vX_[365] + vX_[1379] * vX_[362])) * 0.881 + (0 - (vX_[1112] * vX_[359] + vX_[1472] * vX_[357]) + (vX_[1472] * vX_[357] + vX_[1127] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1363]) * -0.1104774 + (0 - vX_[1340]) * 0.000881 + vX_[1477] * vX_[628]) * 0.35 - (vX_[788] * vX_[734] + vX_[1467] * vX_[408] + vX_[1497] * vX_[372] + vX_[1351] * vX_[384] + vX_[1259] * vX_[358] + (vX_[1348] * vX_[359] + vX_[1259] * vX_[357]) * -8.81e-05 + vX_[1126] * vX_[375] + vX_[1127] * vX_[364] + vX_[1409] * vX_[419] + vX_[1472] * vX_[366] + vX_[1508] * vX_[626])) * vX_[768];
+ vX_[1558] = vX_[1634] + vX_[1599] * vX_[383] + vX_[1558] * vX_[397] + vX_[1315] * vX_[740];
+ vX_[1628] = vX_[1634] + vX_[1453] * vX_[356] + vX_[1628] * vX_[402] + vX_[1417] * vX_[741];
+ vX_[1634] = vX_[1558] - vX_[1628];
+ vX_[1598] = vX_[1599] * vX_[356] + vX_[1453] * vX_[383] + vX_[1609] * vX_[402] + vX_[1598] * vX_[397] + vX_[1315] * vX_[741] + vX_[1417] * vX_[740];
+ vX_[1609] = vX_[1634] * vX_[357] + vX_[1598] * vX_[360];
+ vX_[1453] = vX_[1634] * vX_[359] + vX_[1598] * vX_[357];
+ vX_[1558] = 0 - vX_[1558];
+ vX_[1599] = 0 - vX_[1598];
+ vX_[1593] = vX_[1625] * vX_[383] + vX_[1456] * vX_[395] + vX_[1593] * vX_[397] + vX_[1315] * vX_[716] + vX_[1482] * vX_[740];
+ vX_[1379] = 0 - vX_[1593];
+ vX_[1449] = vX_[1625] * vX_[356] + vX_[1456] * vX_[383] + vX_[1449] * vX_[397] + vX_[1315] * vX_[717] + vX_[1510] * vX_[740];
+ vX_[1456] = 0 - vX_[1449];
+ vX_[1625] = (vX_[1558] * vX_[390] + vX_[1599] * vX_[378] + vX_[1379] * vX_[386] + vX_[1456] * vX_[368]) * 1 / vX_[380];
+ vX_[1558] = vX_[1329] * vX_[746] + vX_[1558] * vX_[391] + vX_[1625];
+ vX_[1628] = 0 - vX_[1628];
+ vX_[1514] = vX_[1585] * vX_[383] + vX_[1592] * vX_[395] + vX_[1514] * vX_[402] + vX_[1417] * vX_[716] + vX_[1482] * vX_[741];
+ vX_[1112] = 0 - vX_[1514];
+ vX_[1479] = vX_[1585] * vX_[356] + vX_[1592] * vX_[383] + vX_[1479] * vX_[402] + vX_[1417] * vX_[717] + vX_[1510] * vX_[741];
+ vX_[1592] = 0 - vX_[1479];
+ vX_[1585] = (vX_[1628] * vX_[378] + vX_[1112] * vX_[386] + vX_[1592] * vX_[368]) * 1 / vX_[380];
+ vX_[1628] = vX_[1418] * vX_[746] + vX_[1599] * vX_[391] + vX_[1628] * vX_[381] + vX_[1585];
+ vX_[1632] = vX_[1597] + vX_[1540] * vX_[397] + vX_[1632] * vX_[402] * 2. + vX_[1603] * vX_[717] - vX_[1628];
+ vX_[1419] = 0 - (vX_[1583] + vX_[1419] * vX_[402] + vX_[1602] * vX_[397] * 2. + vX_[1603] * vX_[716]) + vX_[1558];
+ vX_[1602] = vX_[1602] + vX_[1482] * vX_[716];
+ vX_[1247] = vX_[1247] + vX_[1510] * vX_[717];
+ vX_[1583] = vX_[1602] - vX_[1247];
+ vX_[1603] = 0 - vX_[1602];
+ vX_[1540] = vX_[1540] + vX_[1482] * vX_[717] + vX_[1510] * vX_[716];
+ vX_[1597] = 0 - vX_[1540];
+ vX_[1599] = (vX_[1603] * vX_[386] + vX_[1597] * vX_[368]) * 1 / vX_[380];
+ vX_[1603] = vX_[1480] * vX_[746] + vX_[1379] * vX_[391] + vX_[1112] * vX_[381] + vX_[1603] * vX_[425] + vX_[1599];
+ vX_[1112] = 0 - vX_[1247];
+ vX_[1379] = vX_[1112] * vX_[368] * 1 / vX_[380];
+ vX_[1112] = vX_[1344] * vX_[746] + vX_[1456] * vX_[391] + vX_[1592] * vX_[381] + vX_[1597] * vX_[425] + vX_[1112] * vX_[421] + vX_[1379];
+ vX_[1597] = 0 - vX_[1112];
+ vX_[1592] = vX_[1583] * vX_[357] + vX_[1540] * vX_[360];
+ vX_[1456] = vX_[1583] * vX_[359] + vX_[1540] * vX_[357];
+ vX_[1494] = vX_[1592] * vX_[359] + vX_[1456] * vX_[357];
+ vX_[1454] = vX_[1247] + vX_[1592] * vX_[357];
+ vX_[1471] = vX_[1247] + vX_[1456] * vX_[359];
+ vX_[1379] = vX_[1602] + vX_[1247] + 0 - vX_[1329] * vX_[837] - vX_[1418] * vX_[742] - vX_[1429] * vX_[745] + vX_[1429] * vX_[746] - vX_[1480] * vX_[733] - vX_[1344] * vX_[732] - vX_[1625] * vX_[391] - vX_[1585] * vX_[381] - vX_[1599] * vX_[425] - vX_[1379] * vX_[421] - vX_[1454] - vX_[1471];
+ vX_[1599] = 0 - vX_[1379];
+ vX_[1247] = vX_[1558] * vX_[357] + vX_[1628] * vX_[360];
+ vX_[1602] = vX_[1247] + vX_[1599] * vX_[365];
+ vX_[1585] = vX_[1558] * vX_[359] + vX_[1628] * vX_[357];
+ vX_[1625] = vX_[1585] + vX_[1379] * vX_[362];
+ vX_[1344] = 0 - vX_[1112];
+ vX_[1480] = 0 - vX_[1471];
+ jac[310] = 0 - (vX_[1315] * vX_[736] + vX_[1417] * vX_[748] + vX_[1482] * vX_[734] + vX_[1510] * vX_[124] + vX_[1634] * vX_[408] + vX_[1598] * vX_[407] + vX_[1609] * -0.466187537174287 + vX_[1453] * 0.00185880198235362 + vX_[1558] * vX_[372] + vX_[1628] * vX_[376] + vX_[1514] * vX_[385] + vX_[1449] * vX_[358] + vX_[1593] * vX_[384] + vX_[1479] * vX_[361] + (vX_[1514] * vX_[357] + vX_[1593] * vX_[359]) * -8.81e-05 + (vX_[1449] * vX_[357] + vX_[1479] * vX_[360]) * 8.81e-05 + vX_[1632] * vX_[375] + vX_[1419] * vX_[371] + vX_[1583] * vX_[419] + vX_[1603] * vX_[364] + vX_[1112] * vX_[367] + vX_[1540] * vX_[418] + vX_[1597] * vX_[366] + vX_[1603] * vX_[363] + vX_[1592] * vX_[415] + vX_[1456] * vX_[417] + (vX_[1494] * vX_[374] + vX_[1599] * vX_[369] + vX_[1454] * vX_[370] + (0 - vX_[1602]) * 0.414812462825713 + (0 - (vX_[1632] * vX_[359] + vX_[1419] * vX_[357]) + vX_[1247] + vX_[1454] * vX_[365]) * 0.881 + (0 - vX_[1625]) * 0.00185880198235362 + (0 - (vX_[1597] * vX_[357] + vX_[1603] * vX_[360] + (vX_[1603] * vX_[359] + vX_[1112] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1494] * 0.0004405 + vX_[1454] * -0.2209548) * -0.35 + vX_[1607] * vX_[653] + vX_[1608] * vX_[649] + vX_[1639] * vX_[651] + vX_[1604] * vX_[626] + (vX_[1428] * vX_[736] + vX_[1607] * vX_[628]) * 0.35) * vX_[782] + (vX_[1315] * vX_[748] + vX_[1482] * vX_[124] + vX_[1634] * vX_[407] + vX_[1609] * 0.00185880198235362 + vX_[1453] * -7.4114911576828e-06 + vX_[1558] * vX_[376] + vX_[1449] * vX_[361] + vX_[1593] * vX_[385] + (vX_[1514] * vX_[360] + vX_[1593] * vX_[357]) * 8.81e-05 + vX_[1632] * vX_[371] + vX_[1583] * vX_[418] + vX_[1603] * vX_[367] + vX_[1344] * vX_[363] + vX_[1592] * vX_[417] + vX_[1456] * vX_[416] + vX_[1608] * vX_[653] + vX_[1604] * vX_[651] - (vX_[1417] * vX_[736] + vX_[1607] * vX_[649]) + (vX_[1428] * vX_[748] + vX_[1379] * vX_[373] + vX_[1480] * vX_[374] + vX_[1602] * 0.00185880198235362 + vX_[1625] * 0.880992588508842 + (0 - (vX_[1632] * vX_[357] + vX_[1419] * vX_[360] + vX_[1585] + vX_[1494] * vX_[365] + vX_[1480] * vX_[362])) * 0.881 + (0 - (vX_[1344] * vX_[359] + vX_[1603] * vX_[357]) + (vX_[1603] * vX_[357] + vX_[1112] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1494]) * -0.1104774 + (0 - vX_[1471]) * 0.000881 + vX_[1608] * vX_[628]) * 0.35 - (vX_[1510] * vX_[734] + vX_[1598] * vX_[408] + vX_[1628] * vX_[372] + vX_[1514] * vX_[384] + vX_[1479] * vX_[358] + (vX_[1449] * vX_[359] + vX_[1479] * vX_[357]) * -8.81e-05 + vX_[1419] * vX_[375] + vX_[1112] * vX_[364] + vX_[1540] * vX_[419] + vX_[1603] * vX_[366] + vX_[1639] * vX_[626])) * vX_[768];
+ vX_[1689] = vX_[1765] + vX_[1730] * vX_[383] + vX_[1689] * vX_[397] + vX_[1438] * vX_[740];
+ vX_[1759] = vX_[1765] + vX_[1584] * vX_[356] + vX_[1759] * vX_[402] + vX_[1548] * vX_[741];
+ vX_[1765] = vX_[1689] - vX_[1759];
+ vX_[1729] = vX_[1730] * vX_[356] + vX_[1584] * vX_[383] + vX_[1740] * vX_[402] + vX_[1729] * vX_[397] + vX_[1438] * vX_[741] + vX_[1548] * vX_[740];
+ vX_[1740] = vX_[1765] * vX_[357] + vX_[1729] * vX_[360];
+ vX_[1584] = vX_[1765] * vX_[359] + vX_[1729] * vX_[357];
+ vX_[1689] = 0 - vX_[1689];
+ vX_[1730] = 0 - vX_[1729];
+ vX_[1724] = vX_[1756] * vX_[383] + vX_[1587] * vX_[395] + vX_[1724] * vX_[397] + vX_[1438] * vX_[716] + vX_[1613] * vX_[740];
+ vX_[1480] = 0 - vX_[1724];
+ vX_[1580] = vX_[1756] * vX_[356] + vX_[1587] * vX_[383] + vX_[1580] * vX_[397] + vX_[1438] * vX_[717] + vX_[1641] * vX_[740];
+ vX_[1587] = 0 - vX_[1580];
+ vX_[1756] = (vX_[1689] * vX_[390] + vX_[1730] * vX_[378] + vX_[1480] * vX_[386] + vX_[1587] * vX_[368]) * 1 / vX_[380];
+ vX_[1689] = vX_[1446] * vX_[746] + vX_[1689] * vX_[391] + vX_[1756];
+ vX_[1759] = 0 - vX_[1759];
+ vX_[1645] = vX_[1716] * vX_[383] + vX_[1723] * vX_[395] + vX_[1645] * vX_[402] + vX_[1548] * vX_[716] + vX_[1613] * vX_[741];
+ vX_[1344] = 0 - vX_[1645];
+ vX_[1610] = vX_[1716] * vX_[356] + vX_[1723] * vX_[383] + vX_[1610] * vX_[402] + vX_[1548] * vX_[717] + vX_[1641] * vX_[741];
+ vX_[1723] = 0 - vX_[1610];
+ vX_[1716] = (vX_[1759] * vX_[378] + vX_[1344] * vX_[386] + vX_[1723] * vX_[368]) * 1 / vX_[380];
+ vX_[1759] = vX_[1549] * vX_[746] + vX_[1730] * vX_[391] + vX_[1759] * vX_[381] + vX_[1716];
+ vX_[1763] = vX_[1728] + vX_[1671] * vX_[397] + vX_[1763] * vX_[402] * 2. + vX_[1734] * vX_[717] - vX_[1759];
+ vX_[1550] = 0 - (vX_[1714] + vX_[1550] * vX_[402] + vX_[1733] * vX_[397] * 2. + vX_[1734] * vX_[716]) + vX_[1689];
+ vX_[1733] = vX_[1733] + vX_[1613] * vX_[716];
+ vX_[1378] = vX_[1378] + vX_[1641] * vX_[717];
+ vX_[1714] = vX_[1733] - vX_[1378];
+ vX_[1734] = 0 - vX_[1733];
+ vX_[1671] = vX_[1671] + vX_[1613] * vX_[717] + vX_[1641] * vX_[716];
+ vX_[1728] = 0 - vX_[1671];
+ vX_[1730] = (vX_[1734] * vX_[386] + vX_[1728] * vX_[368]) * 1 / vX_[380];
+ vX_[1734] = vX_[1611] * vX_[746] + vX_[1480] * vX_[391] + vX_[1344] * vX_[381] + vX_[1734] * vX_[425] + vX_[1730];
+ vX_[1344] = 0 - vX_[1378];
+ vX_[1480] = vX_[1344] * vX_[368] * 1 / vX_[380];
+ vX_[1344] = vX_[783] * vX_[746] + vX_[1587] * vX_[391] + vX_[1723] * vX_[381] + vX_[1728] * vX_[425] + vX_[1344] * vX_[421] + vX_[1480];
+ vX_[1728] = 0 - vX_[1344];
+ vX_[1723] = vX_[1714] * vX_[357] + vX_[1671] * vX_[360];
+ vX_[1587] = vX_[1714] * vX_[359] + vX_[1671] * vX_[357];
+ vX_[1625] = vX_[1723] * vX_[359] + vX_[1587] * vX_[357];
+ vX_[1585] = vX_[1378] + vX_[1723] * vX_[357];
+ vX_[1602] = vX_[1378] + vX_[1587] * vX_[359];
+ vX_[1480] = vX_[1733] + vX_[1378] + 0 - vX_[1446] * vX_[837] - vX_[1549] * vX_[742] - vX_[1560] * vX_[745] + vX_[1560] * vX_[746] - vX_[1611] * vX_[733] - vX_[783] * vX_[732] - vX_[1756] * vX_[391] - vX_[1716] * vX_[381] - vX_[1730] * vX_[425] - vX_[1480] * vX_[421] - vX_[1585] - vX_[1602];
+ vX_[1730] = 0 - vX_[1480];
+ vX_[1378] = vX_[1689] * vX_[357] + vX_[1759] * vX_[360];
+ vX_[1733] = vX_[1378] + vX_[1730] * vX_[365];
+ vX_[1716] = vX_[1689] * vX_[359] + vX_[1759] * vX_[357];
+ vX_[1756] = vX_[1716] + vX_[1480] * vX_[362];
+ vX_[783] = 0 - vX_[1344];
+ vX_[1611] = 0 - vX_[1602];
+ jac[311] = 0 - (vX_[1438] * vX_[736] + vX_[1548] * vX_[748] + vX_[1613] * vX_[734] + vX_[1641] * vX_[124] + vX_[1765] * vX_[408] + vX_[1729] * vX_[407] + vX_[1740] * -0.466187537174287 + vX_[1584] * 0.00185880198235362 + vX_[1689] * vX_[372] + vX_[1759] * vX_[376] + vX_[1645] * vX_[385] + vX_[1580] * vX_[358] + vX_[1724] * vX_[384] + vX_[1610] * vX_[361] + (vX_[1645] * vX_[357] + vX_[1724] * vX_[359]) * -8.81e-05 + (vX_[1580] * vX_[357] + vX_[1610] * vX_[360]) * 8.81e-05 + vX_[1763] * vX_[375] + vX_[1550] * vX_[371] + vX_[1714] * vX_[419] + vX_[1734] * vX_[364] + vX_[1344] * vX_[367] + vX_[1671] * vX_[418] + vX_[1728] * vX_[366] + vX_[1734] * vX_[363] + vX_[1723] * vX_[415] + vX_[1587] * vX_[417] + (vX_[1625] * vX_[374] + vX_[1730] * vX_[369] + vX_[1585] * vX_[370] + (0 - vX_[1733]) * 0.414812462825713 + (0 - (vX_[1763] * vX_[359] + vX_[1550] * vX_[357]) + vX_[1378] + vX_[1585] * vX_[365]) * 0.881 + (0 - vX_[1756]) * 0.00185880198235362 + (0 - (vX_[1728] * vX_[357] + vX_[1734] * vX_[360] + (vX_[1734] * vX_[359] + vX_[1344] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1625] * 0.0004405 + vX_[1585] * -0.2209548) * -0.35 + vX_[1738] * vX_[653] + vX_[1739] * vX_[649] + vX_[1770] * vX_[651] + vX_[1735] * vX_[626] + (vX_[1559] * vX_[736] + vX_[1738] * vX_[628]) * 0.35) * vX_[782] + (vX_[1438] * vX_[748] + vX_[1613] * vX_[124] + vX_[1765] * vX_[407] + vX_[1740] * 0.00185880198235362 + vX_[1584] * -7.4114911576828e-06 + vX_[1689] * vX_[376] + vX_[1580] * vX_[361] + vX_[1724] * vX_[385] + (vX_[1645] * vX_[360] + vX_[1724] * vX_[357]) * 8.81e-05 + vX_[1763] * vX_[371] + vX_[1714] * vX_[418] + vX_[1734] * vX_[367] + vX_[783] * vX_[363] + vX_[1723] * vX_[417] + vX_[1587] * vX_[416] + vX_[1739] * vX_[653] + vX_[1735] * vX_[651] - (vX_[1548] * vX_[736] + vX_[1738] * vX_[649]) + (vX_[1559] * vX_[748] + vX_[1480] * vX_[373] + vX_[1611] * vX_[374] + vX_[1733] * 0.00185880198235362 + vX_[1756] * 0.880992588508842 + (0 - (vX_[1763] * vX_[357] + vX_[1550] * vX_[360] + vX_[1716] + vX_[1625] * vX_[365] + vX_[1611] * vX_[362])) * 0.881 + (0 - (vX_[783] * vX_[359] + vX_[1734] * vX_[357]) + (vX_[1734] * vX_[357] + vX_[1344] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1625]) * -0.1104774 + (0 - vX_[1602]) * 0.000881 + vX_[1739] * vX_[628]) * 0.35 - (vX_[1641] * vX_[734] + vX_[1729] * vX_[408] + vX_[1759] * vX_[372] + vX_[1645] * vX_[384] + vX_[1610] * vX_[358] + (vX_[1580] * vX_[359] + vX_[1610] * vX_[357]) * -8.81e-05 + vX_[1550] * vX_[375] + vX_[1344] * vX_[364] + vX_[1671] * vX_[419] + vX_[1734] * vX_[366] + vX_[1770] * vX_[626])) * vX_[768];
+ vX_[1834] = vX_[1912] + vX_[1874] * vX_[383] + vX_[1834] * vX_[397] + vX_[1736] * vX_[740];
+ vX_[1872] = vX_[1912] + vX_[787] * vX_[356] + vX_[1872] * vX_[402] + vX_[1606] * vX_[741];
+ vX_[1912] = vX_[1834] - vX_[1872];
+ vX_[1906] = vX_[1874] * vX_[356] + vX_[787] * vX_[383] + vX_[1684] * vX_[402] + vX_[1906] * vX_[397] + vX_[1736] * vX_[741] + vX_[1606] * vX_[740];
+ vX_[1684] = vX_[1912] * vX_[357] + vX_[1906] * vX_[360];
+ vX_[787] = vX_[1912] * vX_[359] + vX_[1906] * vX_[357];
+ vX_[1834] = 0 - vX_[1834];
+ vX_[1874] = 0 - vX_[1906];
+ vX_[1784] = vX_[1721] * vX_[383] + vX_[1860] * vX_[395] + vX_[1784] * vX_[397] + vX_[1736] * vX_[716] + vX_[1785] * vX_[740];
+ vX_[1611] = 0 - vX_[1784];
+ vX_[1868] = vX_[1721] * vX_[356] + vX_[1860] * vX_[383] + vX_[1868] * vX_[397] + vX_[1736] * vX_[717] + vX_[1787] * vX_[740];
+ vX_[1860] = 0 - vX_[1868];
+ vX_[1721] = (vX_[1834] * vX_[390] + vX_[1874] * vX_[378] + vX_[1611] * vX_[386] + vX_[1860] * vX_[368]) * 1 / vX_[380];
+ vX_[1834] = vX_[1771] * vX_[746] + vX_[1834] * vX_[391] + vX_[1721];
+ vX_[1872] = 0 - vX_[1872];
+ vX_[1873] = vX_[1903] * vX_[383] + vX_[1867] * vX_[395] + vX_[1873] * vX_[402] + vX_[1606] * vX_[716] + vX_[1785] * vX_[741];
+ vX_[783] = 0 - vX_[1873];
+ vX_[1678] = vX_[1903] * vX_[356] + vX_[1867] * vX_[383] + vX_[1678] * vX_[402] + vX_[1606] * vX_[717] + vX_[1787] * vX_[741];
+ vX_[1867] = 0 - vX_[1678];
+ vX_[1903] = (vX_[1872] * vX_[378] + vX_[783] * vX_[386] + vX_[1867] * vX_[368]) * 1 / vX_[380];
+ vX_[1872] = vX_[1475] * vX_[746] + vX_[1874] * vX_[391] + vX_[1872] * vX_[381] + vX_[1903];
+ vX_[1767] = vX_[1870] + vX_[1822] * vX_[397] + vX_[1767] * vX_[402] * 2. + vX_[1879] * vX_[717] - vX_[1872];
+ vX_[1509] = 0 - (vX_[1858] + vX_[1509] * vX_[402] + vX_[1877] * vX_[397] * 2. + vX_[1879] * vX_[716]) + vX_[1834];
+ vX_[1877] = vX_[1877] + vX_[1785] * vX_[716];
+ vX_[789] = vX_[789] + vX_[1787] * vX_[717];
+ vX_[1858] = vX_[1877] - vX_[789];
+ vX_[1879] = 0 - vX_[1877];
+ vX_[1822] = vX_[1822] + vX_[1785] * vX_[717] + vX_[1787] * vX_[716];
+ vX_[1870] = 0 - vX_[1822];
+ vX_[1874] = (vX_[1879] * vX_[386] + vX_[1870] * vX_[368]) * 1 / vX_[380];
+ vX_[1879] = vX_[1786] * vX_[746] + vX_[1611] * vX_[391] + vX_[783] * vX_[381] + vX_[1879] * vX_[425] + vX_[1874];
+ vX_[783] = 0 - vX_[789];
+ vX_[1611] = vX_[783] * vX_[368] * 1 / vX_[380];
+ vX_[783] = vX_[1788] * vX_[746] + vX_[1860] * vX_[391] + vX_[1867] * vX_[381] + vX_[1870] * vX_[425] + vX_[783] * vX_[421] + vX_[1611];
+ vX_[1870] = 0 - vX_[783];
+ vX_[1867] = vX_[1858] * vX_[357] + vX_[1822] * vX_[360];
+ vX_[1860] = vX_[1858] * vX_[359] + vX_[1822] * vX_[357];
+ vX_[1756] = vX_[1867] * vX_[359] + vX_[1860] * vX_[357];
+ vX_[1716] = vX_[789] + vX_[1867] * vX_[357];
+ vX_[1733] = vX_[789] + vX_[1860] * vX_[359];
+ vX_[1611] = vX_[1877] + vX_[789] + 0 - vX_[1771] * vX_[837] - vX_[1475] * vX_[742] - vX_[1737] * vX_[745] + vX_[1737] * vX_[746] - vX_[1786] * vX_[733] - vX_[1788] * vX_[732] - vX_[1721] * vX_[391] - vX_[1903] * vX_[381] - vX_[1874] * vX_[425] - vX_[1611] * vX_[421] - vX_[1716] - vX_[1733];
+ vX_[1874] = 0 - vX_[1611];
+ vX_[789] = vX_[1834] * vX_[357] + vX_[1872] * vX_[360];
+ vX_[1877] = vX_[789] + vX_[1874] * vX_[365];
+ vX_[1903] = vX_[1834] * vX_[359] + vX_[1872] * vX_[357];
+ vX_[1721] = vX_[1903] + vX_[1611] * vX_[362];
+ vX_[1788] = 0 - vX_[783];
+ vX_[1786] = 0 - vX_[1733];
+ jac[312] = 0 - (vX_[1736] * vX_[736] + vX_[1606] * vX_[748] + vX_[1785] * vX_[734] + vX_[1787] * vX_[124] + vX_[1912] * vX_[408] + vX_[1906] * vX_[407] + vX_[1684] * -0.466187537174287 + vX_[787] * 0.00185880198235362 + vX_[1834] * vX_[372] + vX_[1872] * vX_[376] + vX_[1873] * vX_[385] + vX_[1868] * vX_[358] + vX_[1784] * vX_[384] + vX_[1678] * vX_[361] + (vX_[1873] * vX_[357] + vX_[1784] * vX_[359]) * -8.81e-05 + (vX_[1868] * vX_[357] + vX_[1678] * vX_[360]) * 8.81e-05 + vX_[1767] * vX_[375] + vX_[1509] * vX_[371] + vX_[1858] * vX_[419] + vX_[1879] * vX_[364] + vX_[783] * vX_[367] + vX_[1822] * vX_[418] + vX_[1870] * vX_[366] + vX_[1879] * vX_[363] + vX_[1867] * vX_[415] + vX_[1860] * vX_[417] + (vX_[1756] * vX_[374] + vX_[1874] * vX_[369] + vX_[1716] * vX_[370] + (0 - vX_[1877]) * 0.414812462825713 + (0 - (vX_[1767] * vX_[359] + vX_[1509] * vX_[357]) + vX_[789] + vX_[1716] * vX_[365]) * 0.881 + (0 - vX_[1721]) * 0.00185880198235362 + (0 - (vX_[1870] * vX_[357] + vX_[1879] * vX_[360] + (vX_[1879] * vX_[359] + vX_[783] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1756] * 0.0004405 + vX_[1716] * -0.2209548) * -0.35 + vX_[1883] * vX_[653] + vX_[1884] * vX_[649] + vX_[1917] * vX_[651] + vX_[1880] * vX_[626] + (vX_[1640] * vX_[736] + vX_[1883] * vX_[628]) * 0.35) * vX_[782] + (vX_[1736] * vX_[748] + vX_[1785] * vX_[124] + vX_[1912] * vX_[407] + vX_[1684] * 0.00185880198235362 + vX_[787] * -7.4114911576828e-06 + vX_[1834] * vX_[376] + vX_[1868] * vX_[361] + vX_[1784] * vX_[385] + (vX_[1873] * vX_[360] + vX_[1784] * vX_[357]) * 8.81e-05 + vX_[1767] * vX_[371] + vX_[1858] * vX_[418] + vX_[1879] * vX_[367] + vX_[1788] * vX_[363] + vX_[1867] * vX_[417] + vX_[1860] * vX_[416] + vX_[1884] * vX_[653] + vX_[1880] * vX_[651] - (vX_[1606] * vX_[736] + vX_[1883] * vX_[649]) + (vX_[1640] * vX_[748] + vX_[1611] * vX_[373] + vX_[1786] * vX_[374] + vX_[1877] * 0.00185880198235362 + vX_[1721] * 0.880992588508842 + (0 - (vX_[1767] * vX_[357] + vX_[1509] * vX_[360] + vX_[1903] + vX_[1756] * vX_[365] + vX_[1786] * vX_[362])) * 0.881 + (0 - (vX_[1788] * vX_[359] + vX_[1879] * vX_[357]) + (vX_[1879] * vX_[357] + vX_[783] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1756]) * -0.1104774 + (0 - vX_[1733]) * 0.000881 + vX_[1884] * vX_[628]) * 0.35 - (vX_[1787] * vX_[734] + vX_[1906] * vX_[408] + vX_[1872] * vX_[372] + vX_[1873] * vX_[384] + vX_[1678] * vX_[358] + (vX_[1868] * vX_[359] + vX_[1678] * vX_[357]) * -8.81e-05 + vX_[1509] * vX_[375] + vX_[783] * vX_[364] + vX_[1822] * vX_[419] + vX_[1879] * vX_[366] + vX_[1917] * vX_[626])) * vX_[768];
+ vX_[1930] = vX_[2060] + vX_[2025] * vX_[383] + vX_[1930] * vX_[397] + vX_[1882] * vX_[740];
+ vX_[2023] = vX_[2060] + vX_[1881] * vX_[356] + vX_[2023] * vX_[402] + vX_[1792] * vX_[741];
+ vX_[2060] = vX_[1930] - vX_[2023];
+ vX_[2054] = vX_[2025] * vX_[356] + vX_[1881] * vX_[383] + vX_[1862] * vX_[402] + vX_[2054] * vX_[397] + vX_[1882] * vX_[741] + vX_[1792] * vX_[740];
+ vX_[1862] = vX_[2060] * vX_[357] + vX_[2054] * vX_[360];
+ vX_[1881] = vX_[2060] * vX_[359] + vX_[2054] * vX_[357];
+ vX_[662] = vX_[383] * vX_[1753] + vX_[668] * vX_[1824] + vX_[662] * vX_[1757] + vX_[740];
+ vX_[1930] = 0 - vX_[1930];
+ vX_[668] = 0 - vX_[2054];
+ vX_[1936] = vX_[1819] * vX_[383] + vX_[2011] * vX_[395] + vX_[1936] * vX_[397] + vX_[1882] * vX_[716] + vX_[1937] * vX_[740];
+ vX_[2025] = 0 - vX_[1936];
+ vX_[2019] = vX_[1819] * vX_[356] + vX_[2011] * vX_[383] + vX_[2019] * vX_[397] + vX_[1882] * vX_[717] + vX_[1939] * vX_[740];
+ vX_[2011] = 0 - vX_[2019];
+ vX_[1819] = (vX_[1930] * vX_[390] + vX_[668] * vX_[378] + vX_[2025] * vX_[386] + vX_[2011] * vX_[368]) * 1 / vX_[380];
+ vX_[1930] = vX_[1842] * vX_[662] + vX_[1916] * vX_[746] + vX_[1930] * vX_[391] + vX_[1819];
+ vX_[1753] = vX_[356] * vX_[1753] + vX_[383] * vX_[1824] + vX_[401] * vX_[1757] + vX_[741];
+ vX_[2023] = 0 - vX_[2023];
+ vX_[2024] = vX_[2051] * vX_[383] + vX_[1799] * vX_[395] + vX_[2024] * vX_[402] + vX_[1792] * vX_[716] + vX_[1937] * vX_[741];
+ vX_[1824] = 0 - vX_[2024];
+ vX_[1859] = vX_[2051] * vX_[356] + vX_[1799] * vX_[383] + vX_[1859] * vX_[402] + vX_[1792] * vX_[717] + vX_[1939] * vX_[741];
+ vX_[1799] = 0 - vX_[1859];
+ vX_[2051] = (vX_[2023] * vX_[378] + vX_[1824] * vX_[386] + vX_[1799] * vX_[368]) * 1 / vX_[380];
+ vX_[2023] = vX_[1847] * vX_[1753] + vX_[1914] * vX_[746] + vX_[668] * vX_[391] + vX_[2023] * vX_[381] + vX_[2051];
+ vX_[1931] = vX_[1817] + vX_[1973] * vX_[397] + vX_[1931] * vX_[402] * 2. + vX_[2029] * vX_[717] - vX_[2023];
+ vX_[1932] = 0 - (vX_[2009] + vX_[1932] * vX_[402] + vX_[2028] * vX_[397] * 2. + vX_[2029] * vX_[716]) + vX_[1930];
+ vX_[2028] = vX_[2028] + vX_[1937] * vX_[716];
+ vX_[1934] = vX_[1934] + vX_[1939] * vX_[717];
+ vX_[2009] = vX_[2028] - vX_[1934];
+ vX_[2029] = vX_[383] * vX_[1605] + vX_[395] * vX_[1837] + vX_[716];
+ vX_[1817] = 0 - vX_[2028];
+ vX_[1973] = vX_[1973] + vX_[1937] * vX_[717] + vX_[1939] * vX_[716];
+ vX_[668] = 0 - vX_[1973];
+ vX_[1847] = (vX_[1817] * vX_[386] + vX_[668] * vX_[368]) * 1 / vX_[380];
+ vX_[1817] = vX_[1904] * vX_[2029] + vX_[1938] * vX_[746] + vX_[2025] * vX_[391] + vX_[1824] * vX_[381] + vX_[1817] * vX_[425] + vX_[1847];
+ vX_[1605] = vX_[356] * vX_[1605] + vX_[383] * vX_[1837] + vX_[717];
+ vX_[1837] = 0 - vX_[1934];
+ vX_[1824] = vX_[1837] * vX_[368] * 1 / vX_[380];
+ vX_[1837] = vX_[1901] * vX_[1605] + vX_[1940] * vX_[746] + vX_[2011] * vX_[391] + vX_[1799] * vX_[381] + vX_[668] * vX_[425] + vX_[1837] * vX_[421] + vX_[1824];
+ vX_[668] = 0 - vX_[1837];
+ vX_[1799] = vX_[2009] * vX_[357] + vX_[1973] * vX_[360];
+ vX_[2011] = vX_[2009] * vX_[359] + vX_[1973] * vX_[357];
+ vX_[1901] = vX_[1799] * vX_[359] + vX_[2011] * vX_[357];
+ vX_[1757] = -1 * vX_[1757];
+ vX_[2025] = (vX_[746] - vX_[380] * vX_[1757] - vX_[386] * vX_[2029] - vX_[368] * vX_[1605] - vX_[390] * vX_[662] - vX_[378] * vX_[1753]) / vX_[380];
+ vX_[1904] = vX_[1934] + vX_[1799] * vX_[357];
+ vX_[401] = vX_[1934] + vX_[2011] * vX_[359];
+ vX_[1824] = vX_[2028] + vX_[1934] + 0 - vX_[1905] * vX_[2025] + vX_[1863] * vX_[1757] - vX_[1916] * vX_[837] - vX_[1914] * vX_[742] - vX_[1795] * vX_[745] + vX_[1795] * vX_[746] - vX_[1938] * vX_[733] - vX_[1940] * vX_[732] - vX_[1819] * vX_[391] - vX_[2051] * vX_[381] - vX_[1847] * vX_[425] - vX_[1824] * vX_[421] - vX_[1904] - vX_[401];
+ vX_[1847] = 0 - vX_[1824];
+ vX_[1934] = vX_[1930] * vX_[357] + vX_[2023] * vX_[360];
+ vX_[2028] = vX_[1934] + vX_[1847] * vX_[365];
+ vX_[2051] = vX_[1930] * vX_[359] + vX_[2023] * vX_[357];
+ vX_[1819] = vX_[2051] + vX_[1824] * vX_[362];
+ vX_[1940] = 0 - vX_[1837];
+ vX_[1938] = 0 - vX_[401];
+ jac[313] = 0 - (vX_[1882] * vX_[736] + vX_[1792] * vX_[748] + vX_[1937] * vX_[734] + vX_[1939] * vX_[124] + vX_[2060] * vX_[408] + vX_[2054] * vX_[407] + vX_[1862] * -0.466187537174287 + vX_[1881] * 0.00185880198235362 + vX_[1930] * vX_[372] + vX_[2023] * vX_[376] + vX_[2024] * vX_[385] + vX_[2019] * vX_[358] + vX_[1936] * vX_[384] + vX_[1859] * vX_[361] + (vX_[2024] * vX_[357] + vX_[1936] * vX_[359]) * -8.81e-05 + (vX_[2019] * vX_[357] + vX_[1859] * vX_[360]) * 8.81e-05 + vX_[1931] * vX_[375] + vX_[1932] * vX_[371] + vX_[2009] * vX_[419] + vX_[1817] * vX_[364] + vX_[1837] * vX_[367] + vX_[1973] * vX_[418] + vX_[668] * vX_[366] + vX_[1817] * vX_[363] + vX_[1799] * vX_[415] + vX_[2011] * vX_[417] + (vX_[1901] * vX_[374] + vX_[1847] * vX_[369] + vX_[1904] * vX_[370] + (0 - vX_[2028]) * 0.414812462825713 + (0 - (vX_[1931] * vX_[359] + vX_[1932] * vX_[357]) + vX_[1934] + vX_[1904] * vX_[365]) * 0.881 + (0 - vX_[1819]) * 0.00185880198235362 + (0 - (vX_[668] * vX_[357] + vX_[1817] * vX_[360] + (vX_[1817] * vX_[359] + vX_[1837] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1901] * 0.0004405 + vX_[1904] * -0.2209548) * -0.35 + vX_[2033] * vX_[653] + vX_[2034] * vX_[649] + vX_[2065] * vX_[651] + vX_[2030] * vX_[626] + (vX_[1789] * vX_[736] + vX_[2033] * vX_[628]) * 0.35) * vX_[782] + (vX_[1882] * vX_[748] + vX_[1937] * vX_[124] + vX_[2060] * vX_[407] + vX_[1862] * 0.00185880198235362 + vX_[1881] * -7.4114911576828e-06 + vX_[1930] * vX_[376] + vX_[2019] * vX_[361] + vX_[1936] * vX_[385] + (vX_[2024] * vX_[360] + vX_[1936] * vX_[357]) * 8.81e-05 + vX_[1931] * vX_[371] + vX_[2009] * vX_[418] + vX_[1817] * vX_[367] + vX_[1940] * vX_[363] + vX_[1799] * vX_[417] + vX_[2011] * vX_[416] + vX_[2034] * vX_[653] + vX_[2030] * vX_[651] - (vX_[1792] * vX_[736] + vX_[2033] * vX_[649]) + (vX_[1789] * vX_[748] + vX_[1824] * vX_[373] + vX_[1938] * vX_[374] + vX_[2028] * 0.00185880198235362 + vX_[1819] * 0.880992588508842 + (0 - (vX_[1931] * vX_[357] + vX_[1932] * vX_[360] + vX_[2051] + vX_[1901] * vX_[365] + vX_[1938] * vX_[362])) * 0.881 + (0 - (vX_[1940] * vX_[359] + vX_[1817] * vX_[357]) + (vX_[1817] * vX_[357] + vX_[1837] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1901]) * -0.1104774 + (0 - vX_[401]) * 0.000881 + vX_[2034] * vX_[628]) * 0.35 - (vX_[1939] * vX_[734] + vX_[2054] * vX_[408] + vX_[2023] * vX_[372] + vX_[2024] * vX_[384] + vX_[1859] * vX_[358] + (vX_[2019] * vX_[359] + vX_[1859] * vX_[357]) * -8.81e-05 + vX_[1932] * vX_[375] + vX_[1837] * vX_[364] + vX_[1973] * vX_[419] + vX_[1817] * vX_[366] + vX_[2065] * vX_[626])) * vX_[768];
+ vX_[2136] = vX_[2208] + vX_[2173] * vX_[383] + vX_[2136] * vX_[397] + vX_[2032] * vX_[740];
+ vX_[2171] = vX_[2208] + vX_[2031] * vX_[356] + vX_[2171] * vX_[402] + vX_[1944] * vX_[741];
+ vX_[2208] = vX_[2136] - vX_[2171];
+ vX_[2202] = vX_[2173] * vX_[356] + vX_[2031] * vX_[383] + vX_[2012] * vX_[402] + vX_[2202] * vX_[397] + vX_[2032] * vX_[741] + vX_[1944] * vX_[740];
+ vX_[2012] = vX_[2208] * vX_[357] + vX_[2202] * vX_[360];
+ vX_[2031] = vX_[2208] * vX_[359] + vX_[2202] * vX_[357];
+ vX_[2136] = 0 - vX_[2136];
+ vX_[2173] = 0 - vX_[2202];
+ vX_[2084] = vX_[1970] * vX_[383] + vX_[2159] * vX_[395] + vX_[2084] * vX_[397] + vX_[2032] * vX_[716] + vX_[2085] * vX_[740];
+ vX_[1938] = 0 - vX_[2084];
+ vX_[2167] = vX_[1970] * vX_[356] + vX_[2159] * vX_[383] + vX_[2167] * vX_[397] + vX_[2032] * vX_[717] + vX_[2087] * vX_[740];
+ vX_[2159] = 0 - vX_[2167];
+ vX_[1970] = (vX_[2136] * vX_[390] + vX_[2173] * vX_[378] + vX_[1938] * vX_[386] + vX_[2159] * vX_[368]) * 1 / vX_[380];
+ vX_[2136] = vX_[1978] * vX_[662] + vX_[2064] * vX_[746] + vX_[2136] * vX_[391] + vX_[1970];
+ vX_[2171] = 0 - vX_[2171];
+ vX_[2172] = vX_[2199] * vX_[383] + vX_[1951] * vX_[395] + vX_[2172] * vX_[402] + vX_[1944] * vX_[716] + vX_[2085] * vX_[741];
+ vX_[1978] = 0 - vX_[2172];
+ vX_[2010] = vX_[2199] * vX_[356] + vX_[1951] * vX_[383] + vX_[2010] * vX_[402] + vX_[1944] * vX_[717] + vX_[2087] * vX_[741];
+ vX_[1951] = 0 - vX_[2010];
+ vX_[2199] = (vX_[2171] * vX_[378] + vX_[1978] * vX_[386] + vX_[1951] * vX_[368]) * 1 / vX_[380];
+ vX_[2171] = vX_[1803] * vX_[1753] + vX_[2062] * vX_[746] + vX_[2173] * vX_[391] + vX_[2171] * vX_[381] + vX_[2199];
+ vX_[2080] = vX_[1910] + vX_[2121] * vX_[397] + vX_[2080] * vX_[402] * 2. + vX_[2177] * vX_[717] - vX_[2171];
+ vX_[2081] = 0 - (vX_[2157] + vX_[2081] * vX_[402] + vX_[2176] * vX_[397] * 2. + vX_[2177] * vX_[716]) + vX_[2136];
+ vX_[2176] = vX_[2176] + vX_[2085] * vX_[716];
+ vX_[2082] = vX_[2082] + vX_[2087] * vX_[717];
+ vX_[2157] = vX_[2176] - vX_[2082];
+ vX_[2177] = 0 - vX_[2176];
+ vX_[2121] = vX_[2121] + vX_[2085] * vX_[717] + vX_[2087] * vX_[716];
+ vX_[1910] = 0 - vX_[2121];
+ vX_[2173] = (vX_[2177] * vX_[386] + vX_[1910] * vX_[368]) * 1 / vX_[380];
+ vX_[2177] = vX_[1915] * vX_[2029] + vX_[2086] * vX_[746] + vX_[1938] * vX_[391] + vX_[1978] * vX_[381] + vX_[2177] * vX_[425] + vX_[2173];
+ vX_[1978] = 0 - vX_[2082];
+ vX_[1938] = vX_[1978] * vX_[368] * 1 / vX_[380];
+ vX_[1978] = vX_[2048] * vX_[1605] + vX_[2088] * vX_[746] + vX_[2159] * vX_[391] + vX_[1951] * vX_[381] + vX_[1910] * vX_[425] + vX_[1978] * vX_[421] + vX_[1938];
+ vX_[1910] = 0 - vX_[1978];
+ vX_[1951] = vX_[2157] * vX_[357] + vX_[2121] * vX_[360];
+ vX_[2159] = vX_[2157] * vX_[359] + vX_[2121] * vX_[357];
+ vX_[1605] = vX_[1951] * vX_[359] + vX_[2159] * vX_[357];
+ vX_[2048] = vX_[2082] + vX_[1951] * vX_[357];
+ vX_[2029] = vX_[2082] + vX_[2159] * vX_[359];
+ vX_[1938] = vX_[2176] + vX_[2082] + 0 - vX_[2052] * vX_[2025] + vX_[2013] * vX_[1757] - vX_[2064] * vX_[837] - vX_[2062] * vX_[742] - vX_[1947] * vX_[745] + vX_[1947] * vX_[746] - vX_[2086] * vX_[733] - vX_[2088] * vX_[732] - vX_[1970] * vX_[391] - vX_[2199] * vX_[381] - vX_[2173] * vX_[425] - vX_[1938] * vX_[421] - vX_[2048] - vX_[2029];
+ vX_[2173] = 0 - vX_[1938];
+ vX_[2082] = vX_[2136] * vX_[357] + vX_[2171] * vX_[360];
+ vX_[2176] = vX_[2082] + vX_[2173] * vX_[365];
+ vX_[2199] = vX_[2136] * vX_[359] + vX_[2171] * vX_[357];
+ vX_[1970] = vX_[2199] + vX_[1938] * vX_[362];
+ vX_[2025] = vX_[1757] + vX_[2025];
+ vX_[1757] = 0 - vX_[1978];
+ vX_[2088] = 0 - vX_[2029];
+ jac[314] = 0 - (-4.21975478400367 * vX_[662] + 0.0168251785646079 * vX_[1753] + vX_[2032] * vX_[736] + vX_[1944] * vX_[748] + vX_[2085] * vX_[734] + vX_[2087] * vX_[124] + vX_[2208] * vX_[408] + vX_[2202] * vX_[407] + vX_[2012] * -0.466187537174287 + vX_[2031] * 0.00185880198235362 + vX_[2136] * vX_[372] + vX_[2171] * vX_[376] + vX_[2172] * vX_[385] + vX_[2167] * vX_[358] + vX_[2084] * vX_[384] + vX_[2010] * vX_[361] + (vX_[2172] * vX_[357] + vX_[2084] * vX_[359]) * -8.81e-05 + (vX_[2167] * vX_[357] + vX_[2010] * vX_[360]) * 8.81e-05 + vX_[2080] * vX_[375] + vX_[2081] * vX_[371] + vX_[2157] * vX_[419] + vX_[2177] * vX_[364] + vX_[1978] * vX_[367] + vX_[2121] * vX_[418] + vX_[1910] * vX_[366] + vX_[2177] * vX_[363] + vX_[1951] * vX_[415] + vX_[2159] * vX_[417] + (vX_[1605] * vX_[374] + vX_[2173] * vX_[369] + vX_[2048] * vX_[370] + (0 - vX_[2176]) * 0.414812462825713 + (0 - (vX_[2080] * vX_[359] + vX_[2081] * vX_[357]) + vX_[2082] + vX_[2048] * vX_[365]) * 0.881 + (0 - vX_[1970]) * 0.00185880198235362 + (0 - (vX_[1910] * vX_[357] + vX_[2177] * vX_[360] + (vX_[2177] * vX_[359] + vX_[1978] * vX_[357]) * 2.)) * 8.81e-05 + vX_[1605] * 0.0004405 + vX_[2048] * -0.2209548) * -0.35 + vX_[2181] * vX_[653] + vX_[2182] * vX_[649] + vX_[2213] * vX_[651] + vX_[2178] * vX_[626] + (-4.21975478400367 * vX_[2025] + vX_[1941] * vX_[736] + vX_[2181] * vX_[628]) * 0.35) * vX_[782] + (0.0168251785646079 * vX_[662] + vX_[2032] * vX_[748] + vX_[2085] * vX_[124] + vX_[2208] * vX_[407] + vX_[2012] * 0.00185880198235362 + vX_[2031] * -7.4114911576828e-06 + vX_[2136] * vX_[376] + vX_[2167] * vX_[361] + vX_[2084] * vX_[385] + (vX_[2172] * vX_[360] + vX_[2084] * vX_[357]) * 8.81e-05 + vX_[2080] * vX_[371] + vX_[2157] * vX_[418] + vX_[2177] * vX_[367] + vX_[1757] * vX_[363] + vX_[1951] * vX_[417] + vX_[2159] * vX_[416] + vX_[2182] * vX_[653] + vX_[2178] * vX_[651] - (-4.21975478400367 * vX_[1753] + vX_[1944] * vX_[736] + vX_[2181] * vX_[649]) + (0.0168251785646079 * vX_[2025] + vX_[1941] * vX_[748] + vX_[1938] * vX_[373] + vX_[2088] * vX_[374] + vX_[2176] * 0.00185880198235362 + vX_[1970] * 0.880992588508842 + (0 - (vX_[2080] * vX_[357] + vX_[2081] * vX_[360] + vX_[2199] + vX_[1605] * vX_[365] + vX_[2088] * vX_[362])) * 0.881 + (0 - (vX_[1757] * vX_[359] + vX_[2177] * vX_[357]) + (vX_[2177] * vX_[357] + vX_[1978] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[1605]) * -0.1104774 + (0 - vX_[2029]) * 0.000881 + vX_[2182] * vX_[628]) * 0.35 - (vX_[2087] * vX_[734] + vX_[2202] * vX_[408] + vX_[2171] * vX_[372] + vX_[2172] * vX_[384] + vX_[2010] * vX_[358] + (vX_[2167] * vX_[359] + vX_[2010] * vX_[357]) * -8.81e-05 + vX_[2081] * vX_[375] + vX_[1978] * vX_[364] + vX_[2121] * vX_[419] + vX_[2177] * vX_[366] + vX_[2213] * vX_[626])) * vX_[768];
+ vX_[2274] = vX_[2346] + vX_[2311] * vX_[383] + vX_[2274] * vX_[397] + vX_[2097] * vX_[740];
+ vX_[2340] = vX_[2346] + vX_[2216] * vX_[356] + vX_[2340] * vX_[402] + vX_[2101] * vX_[741];
+ vX_[2346] = vX_[2274] - vX_[2340];
+ vX_[2310] = vX_[2311] * vX_[356] + vX_[2216] * vX_[383] + vX_[2321] * vX_[402] + vX_[2310] * vX_[397] + vX_[2097] * vX_[741] + vX_[2101] * vX_[740];
+ vX_[2321] = vX_[2346] * vX_[357] + vX_[2310] * vX_[360];
+ vX_[2216] = vX_[2346] * vX_[359] + vX_[2310] * vX_[357];
+ vX_[2274] = 0 - vX_[2274];
+ vX_[2311] = 0 - vX_[2310];
+ vX_[2305] = vX_[2337] * vX_[383] + vX_[2184] * vX_[395] + vX_[2305] * vX_[397] + vX_[2097] * vX_[716] + vX_[2095] * vX_[740];
+ vX_[2088] = 0 - vX_[2305];
+ vX_[2180] = vX_[2337] * vX_[356] + vX_[2184] * vX_[383] + vX_[2180] * vX_[397] + vX_[2097] * vX_[717] + vX_[2090] * vX_[740];
+ vX_[2184] = 0 - vX_[2180];
+ vX_[2337] = (vX_[2274] * vX_[390] + vX_[2311] * vX_[378] + vX_[2088] * vX_[386] + vX_[2184] * vX_[368]) * 1 / vX_[380];
+ vX_[2274] = vX_[2099] * vX_[746] + vX_[2274] * vX_[391] + vX_[2337];
+ vX_[2340] = 0 - vX_[2340];
+ vX_[2210] = vX_[2297] * vX_[383] + vX_[2304] * vX_[395] + vX_[2210] * vX_[402] + vX_[2101] * vX_[716] + vX_[2095] * vX_[741];
+ vX_[1757] = 0 - vX_[2210];
+ vX_[2092] = vX_[2297] * vX_[356] + vX_[2304] * vX_[383] + vX_[2092] * vX_[402] + vX_[2101] * vX_[717] + vX_[2090] * vX_[741];
+ vX_[2304] = 0 - vX_[2092];
+ vX_[2297] = (vX_[2340] * vX_[378] + vX_[1757] * vX_[386] + vX_[2304] * vX_[368]) * 1 / vX_[380];
+ vX_[2340] = vX_[2211] * vX_[746] + vX_[2311] * vX_[391] + vX_[2340] * vX_[381] + vX_[2297];
+ vX_[2344] = vX_[2309] + vX_[2259] * vX_[397] + vX_[2344] * vX_[402] * 2. + vX_[2315] * vX_[717] - vX_[2340];
+ vX_[2096] = 0 - (vX_[2295] + vX_[2096] * vX_[402] + vX_[2314] * vX_[397] * 2. + vX_[2315] * vX_[716]) + vX_[2274];
+ vX_[2314] = vX_[2314] + vX_[2095] * vX_[716];
+ vX_[2089] = vX_[2089] + vX_[2090] * vX_[717];
+ vX_[2295] = vX_[2314] - vX_[2089];
+ vX_[2315] = 0 - vX_[2314];
+ vX_[2259] = vX_[2259] + vX_[2095] * vX_[717] + vX_[2090] * vX_[716];
+ vX_[2309] = 0 - vX_[2259];
+ vX_[2311] = (vX_[2315] * vX_[386] + vX_[2309] * vX_[368]) * 1 / vX_[380];
+ vX_[2315] = vX_[2093] * vX_[746] + vX_[2088] * vX_[391] + vX_[1757] * vX_[381] + vX_[2315] * vX_[425] + vX_[2311];
+ vX_[1757] = 0 - vX_[2089];
+ vX_[2088] = vX_[1757] * vX_[368] * 1 / vX_[380];
+ vX_[1757] = vX_[2226] * vX_[746] + vX_[2184] * vX_[391] + vX_[2304] * vX_[381] + vX_[2309] * vX_[425] + vX_[1757] * vX_[421] + vX_[2088];
+ vX_[2309] = 0 - vX_[1757];
+ vX_[2304] = vX_[2295] * vX_[357] + vX_[2259] * vX_[360];
+ vX_[2184] = vX_[2295] * vX_[359] + vX_[2259] * vX_[357];
+ vX_[2025] = vX_[2304] * vX_[359] + vX_[2184] * vX_[357];
+ vX_[1970] = vX_[2089] + vX_[2304] * vX_[357];
+ vX_[2199] = vX_[2089] + vX_[2184] * vX_[359];
+ vX_[2088] = vX_[2314] + vX_[2089] + 0 - vX_[2099] * vX_[837] - vX_[2211] * vX_[742] - vX_[2179] * vX_[745] + vX_[2179] * vX_[746] - vX_[2093] * vX_[733] - vX_[2226] * vX_[732] - vX_[2337] * vX_[391] - vX_[2297] * vX_[381] - vX_[2311] * vX_[425] - vX_[2088] * vX_[421] - vX_[1970] - vX_[2199];
+ vX_[2311] = 0 - vX_[2088];
+ vX_[2089] = vX_[2274] * vX_[357] + vX_[2340] * vX_[360];
+ vX_[2314] = vX_[2089] + vX_[2311] * vX_[365];
+ vX_[2297] = vX_[2274] * vX_[359] + vX_[2340] * vX_[357];
+ vX_[2337] = vX_[2297] + vX_[2088] * vX_[362];
+ vX_[2226] = 0 - vX_[1757];
+ vX_[2093] = 0 - vX_[2199];
+ jac[315] = 0 - (vX_[2097] * vX_[736] + vX_[2101] * vX_[748] + vX_[2095] * vX_[734] + vX_[2090] * vX_[124] + vX_[2346] * vX_[408] + vX_[2310] * vX_[407] + vX_[2321] * -0.466187537174287 + vX_[2216] * 0.00185880198235362 + vX_[2274] * vX_[372] + vX_[2340] * vX_[376] + vX_[2210] * vX_[385] + vX_[2180] * vX_[358] + vX_[2305] * vX_[384] + vX_[2092] * vX_[361] + (vX_[2210] * vX_[357] + vX_[2305] * vX_[359]) * -8.81e-05 + (vX_[2180] * vX_[357] + vX_[2092] * vX_[360]) * 8.81e-05 + vX_[2344] * vX_[375] + vX_[2096] * vX_[371] + vX_[2295] * vX_[419] + vX_[2315] * vX_[364] + vX_[1757] * vX_[367] + vX_[2259] * vX_[418] + vX_[2309] * vX_[366] + vX_[2315] * vX_[363] + vX_[2304] * vX_[415] + vX_[2184] * vX_[417] + (vX_[2025] * vX_[374] + vX_[2311] * vX_[369] + vX_[1970] * vX_[370] + (0 - vX_[2314]) * 0.414812462825713 + (0 - (vX_[2344] * vX_[359] + vX_[2096] * vX_[357]) + vX_[2089] + vX_[1970] * vX_[365]) * 0.881 + (0 - vX_[2337]) * 0.00185880198235362 + (0 - (vX_[2309] * vX_[357] + vX_[2315] * vX_[360] + (vX_[2315] * vX_[359] + vX_[1757] * vX_[357]) * 2.)) * 8.81e-05 + vX_[2025] * 0.0004405 + vX_[1970] * -0.2209548) * -0.35 + vX_[2319] * vX_[653] + vX_[2320] * vX_[649] + vX_[2351] * vX_[651] + vX_[2316] * vX_[626] + (vX_[2100] * vX_[736] + vX_[2319] * vX_[628]) * 0.35) * vX_[782] + (vX_[2097] * vX_[748] + vX_[2095] * vX_[124] + vX_[2346] * vX_[407] + vX_[2321] * 0.00185880198235362 + vX_[2216] * -7.4114911576828e-06 + vX_[2274] * vX_[376] + vX_[2180] * vX_[361] + vX_[2305] * vX_[385] + (vX_[2210] * vX_[360] + vX_[2305] * vX_[357]) * 8.81e-05 + vX_[2344] * vX_[371] + vX_[2295] * vX_[418] + vX_[2315] * vX_[367] + vX_[2226] * vX_[363] + vX_[2304] * vX_[417] + vX_[2184] * vX_[416] + vX_[2320] * vX_[653] + vX_[2316] * vX_[651] - (vX_[2101] * vX_[736] + vX_[2319] * vX_[649]) + (vX_[2100] * vX_[748] + vX_[2088] * vX_[373] + vX_[2093] * vX_[374] + vX_[2314] * 0.00185880198235362 + vX_[2337] * 0.880992588508842 + (0 - (vX_[2344] * vX_[357] + vX_[2096] * vX_[360] + vX_[2297] + vX_[2025] * vX_[365] + vX_[2093] * vX_[362])) * 0.881 + (0 - (vX_[2226] * vX_[359] + vX_[2315] * vX_[357]) + (vX_[2315] * vX_[357] + vX_[1757] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[2025]) * -0.1104774 + (0 - vX_[2199]) * 0.000881 + vX_[2320] * vX_[628]) * 0.35 - (vX_[2090] * vX_[734] + vX_[2310] * vX_[408] + vX_[2340] * vX_[372] + vX_[2210] * vX_[384] + vX_[2092] * vX_[358] + (vX_[2180] * vX_[359] + vX_[2092] * vX_[357]) * -8.81e-05 + vX_[2096] * vX_[375] + vX_[1757] * vX_[364] + vX_[2259] * vX_[419] + vX_[2315] * vX_[366] + vX_[2351] * vX_[626])) * vX_[768];
+ vX_[2426] = vX_[2498] + vX_[2463] * vX_[383] + vX_[2426] * vX_[397] + vX_[2348] * vX_[740];
+ vX_[2492] = vX_[2498] + vX_[2232] * vX_[356] + vX_[2492] * vX_[402] + vX_[2233] * vX_[741];
+ vX_[2498] = vX_[2426] - vX_[2492];
+ vX_[2462] = vX_[2463] * vX_[356] + vX_[2232] * vX_[383] + vX_[2473] * vX_[402] + vX_[2462] * vX_[397] + vX_[2348] * vX_[741] + vX_[2233] * vX_[740];
+ vX_[2473] = vX_[2498] * vX_[357] + vX_[2462] * vX_[360];
+ vX_[2232] = vX_[2498] * vX_[359] + vX_[2462] * vX_[357];
+ vX_[2426] = 0 - vX_[2426];
+ vX_[2463] = 0 - vX_[2462];
+ vX_[2457] = vX_[2489] * vX_[383] + vX_[2234] * vX_[395] + vX_[2457] * vX_[397] + vX_[2348] * vX_[716] + vX_[2375] * vX_[740];
+ vX_[2093] = 0 - vX_[2457];
+ vX_[2370] = vX_[2489] * vX_[356] + vX_[2234] * vX_[383] + vX_[2370] * vX_[397] + vX_[2348] * vX_[717] + vX_[2377] * vX_[740];
+ vX_[2234] = 0 - vX_[2370];
+ vX_[2489] = (vX_[2426] * vX_[390] + vX_[2463] * vX_[378] + vX_[2093] * vX_[386] + vX_[2234] * vX_[368]) * 1 / vX_[380];
+ vX_[2426] = vX_[2228] * vX_[746] + vX_[2426] * vX_[391] + vX_[2489];
+ vX_[2492] = 0 - vX_[2492];
+ vX_[2374] = vX_[2449] * vX_[383] + vX_[2456] * vX_[395] + vX_[2374] * vX_[402] + vX_[2233] * vX_[716] + vX_[2375] * vX_[741];
+ vX_[2226] = 0 - vX_[2374];
+ vX_[2371] = vX_[2449] * vX_[356] + vX_[2456] * vX_[383] + vX_[2371] * vX_[402] + vX_[2233] * vX_[717] + vX_[2377] * vX_[741];
+ vX_[2456] = 0 - vX_[2371];
+ vX_[2449] = (vX_[2492] * vX_[378] + vX_[2226] * vX_[386] + vX_[2456] * vX_[368]) * 1 / vX_[380];
+ vX_[2492] = vX_[2364] * vX_[746] + vX_[2463] * vX_[391] + vX_[2492] * vX_[381] + vX_[2449];
+ vX_[2496] = vX_[2461] + vX_[2411] * vX_[397] + vX_[2496] * vX_[402] * 2. + vX_[2467] * vX_[717] - vX_[2492];
+ vX_[2367] = 0 - (vX_[2447] + vX_[2367] * vX_[402] + vX_[2466] * vX_[397] * 2. + vX_[2467] * vX_[716]) + vX_[2426];
+ vX_[2466] = vX_[2466] + vX_[2375] * vX_[716];
+ vX_[2372] = vX_[2372] + vX_[2377] * vX_[717];
+ vX_[2447] = vX_[2466] - vX_[2372];
+ vX_[2467] = 0 - vX_[2466];
+ vX_[2411] = vX_[2411] + vX_[2375] * vX_[717] + vX_[2377] * vX_[716];
+ vX_[2461] = 0 - vX_[2411];
+ vX_[2463] = (vX_[2467] * vX_[386] + vX_[2461] * vX_[368]) * 1 / vX_[380];
+ vX_[2467] = vX_[2376] * vX_[746] + vX_[2093] * vX_[391] + vX_[2226] * vX_[381] + vX_[2467] * vX_[425] + vX_[2463];
+ vX_[2226] = 0 - vX_[2372];
+ vX_[2093] = vX_[2226] * vX_[368] * 1 / vX_[380];
+ vX_[2226] = vX_[2378] * vX_[746] + vX_[2234] * vX_[391] + vX_[2456] * vX_[381] + vX_[2461] * vX_[425] + vX_[2226] * vX_[421] + vX_[2093];
+ vX_[2461] = 0 - vX_[2226];
+ vX_[2456] = vX_[2447] * vX_[357] + vX_[2411] * vX_[360];
+ vX_[2234] = vX_[2447] * vX_[359] + vX_[2411] * vX_[357];
+ vX_[2337] = vX_[2456] * vX_[359] + vX_[2234] * vX_[357];
+ vX_[2297] = vX_[2372] + vX_[2456] * vX_[357];
+ vX_[2314] = vX_[2372] + vX_[2234] * vX_[359];
+ vX_[2093] = vX_[2466] + vX_[2372] + 0 - vX_[2228] * vX_[837] - vX_[2364] * vX_[742] - vX_[2365] * vX_[745] + vX_[2365] * vX_[746] - vX_[2376] * vX_[733] - vX_[2378] * vX_[732] - vX_[2489] * vX_[391] - vX_[2449] * vX_[381] - vX_[2463] * vX_[425] - vX_[2093] * vX_[421] - vX_[2297] - vX_[2314];
+ vX_[2463] = 0 - vX_[2093];
+ vX_[2372] = vX_[2426] * vX_[357] + vX_[2492] * vX_[360];
+ vX_[2466] = vX_[2372] + vX_[2463] * vX_[365];
+ vX_[2449] = vX_[2426] * vX_[359] + vX_[2492] * vX_[357];
+ vX_[2489] = vX_[2449] + vX_[2093] * vX_[362];
+ vX_[2378] = 0 - vX_[2226];
+ vX_[2376] = 0 - vX_[2314];
+ jac[316] = 0 - (vX_[2348] * vX_[736] + vX_[2233] * vX_[748] + vX_[2375] * vX_[734] + vX_[2377] * vX_[124] + vX_[2498] * vX_[408] + vX_[2462] * vX_[407] + vX_[2473] * -0.466187537174287 + vX_[2232] * 0.00185880198235362 + vX_[2426] * vX_[372] + vX_[2492] * vX_[376] + vX_[2374] * vX_[385] + vX_[2370] * vX_[358] + vX_[2457] * vX_[384] + vX_[2371] * vX_[361] + (vX_[2374] * vX_[357] + vX_[2457] * vX_[359]) * -8.81e-05 + (vX_[2370] * vX_[357] + vX_[2371] * vX_[360]) * 8.81e-05 + vX_[2496] * vX_[375] + vX_[2367] * vX_[371] + vX_[2447] * vX_[419] + vX_[2467] * vX_[364] + vX_[2226] * vX_[367] + vX_[2411] * vX_[418] + vX_[2461] * vX_[366] + vX_[2467] * vX_[363] + vX_[2456] * vX_[415] + vX_[2234] * vX_[417] + (vX_[2337] * vX_[374] + vX_[2463] * vX_[369] + vX_[2297] * vX_[370] + (0 - vX_[2466]) * 0.414812462825713 + (0 - (vX_[2496] * vX_[359] + vX_[2367] * vX_[357]) + vX_[2372] + vX_[2297] * vX_[365]) * 0.881 + (0 - vX_[2489]) * 0.00185880198235362 + (0 - (vX_[2461] * vX_[357] + vX_[2467] * vX_[360] + (vX_[2467] * vX_[359] + vX_[2226] * vX_[357]) * 2.)) * 8.81e-05 + vX_[2337] * 0.0004405 + vX_[2297] * -0.2209548) * -0.35 + vX_[2471] * vX_[653] + vX_[2472] * vX_[649] + vX_[2503] * vX_[651] + vX_[2468] * vX_[626] + (vX_[2231] * vX_[736] + vX_[2471] * vX_[628]) * 0.35) * vX_[782] + (vX_[2348] * vX_[748] + vX_[2375] * vX_[124] + vX_[2498] * vX_[407] + vX_[2473] * 0.00185880198235362 + vX_[2232] * -7.4114911576828e-06 + vX_[2426] * vX_[376] + vX_[2370] * vX_[361] + vX_[2457] * vX_[385] + (vX_[2374] * vX_[360] + vX_[2457] * vX_[357]) * 8.81e-05 + vX_[2496] * vX_[371] + vX_[2447] * vX_[418] + vX_[2467] * vX_[367] + vX_[2378] * vX_[363] + vX_[2456] * vX_[417] + vX_[2234] * vX_[416] + vX_[2472] * vX_[653] + vX_[2468] * vX_[651] - (vX_[2233] * vX_[736] + vX_[2471] * vX_[649]) + (vX_[2231] * vX_[748] + vX_[2093] * vX_[373] + vX_[2376] * vX_[374] + vX_[2466] * 0.00185880198235362 + vX_[2489] * 0.880992588508842 + (0 - (vX_[2496] * vX_[357] + vX_[2367] * vX_[360] + vX_[2449] + vX_[2337] * vX_[365] + vX_[2376] * vX_[362])) * 0.881 + (0 - (vX_[2378] * vX_[359] + vX_[2467] * vX_[357]) + (vX_[2467] * vX_[357] + vX_[2226] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[2337]) * -0.1104774 + (0 - vX_[2314]) * 0.000881 + vX_[2472] * vX_[628]) * 0.35 - (vX_[2377] * vX_[734] + vX_[2462] * vX_[408] + vX_[2492] * vX_[372] + vX_[2374] * vX_[384] + vX_[2371] * vX_[358] + (vX_[2370] * vX_[359] + vX_[2371] * vX_[357]) * -8.81e-05 + vX_[2367] * vX_[375] + vX_[2226] * vX_[364] + vX_[2411] * vX_[419] + vX_[2467] * vX_[366] + vX_[2503] * vX_[626])) * vX_[768];
+ vX_[2578] = vX_[2650] + vX_[2615] * vX_[383] + vX_[2578] * vX_[397] + vX_[2500] * vX_[740];
+ vX_[2644] = vX_[2650] + vX_[2384] * vX_[356] + vX_[2644] * vX_[402] + vX_[2385] * vX_[741];
+ vX_[2650] = vX_[2578] - vX_[2644];
+ vX_[2614] = vX_[2615] * vX_[356] + vX_[2384] * vX_[383] + vX_[2625] * vX_[402] + vX_[2614] * vX_[397] + vX_[2500] * vX_[741] + vX_[2385] * vX_[740];
+ vX_[2625] = vX_[2650] * vX_[357] + vX_[2614] * vX_[360];
+ vX_[2384] = vX_[2650] * vX_[359] + vX_[2614] * vX_[357];
+ vX_[2578] = 0 - vX_[2578];
+ vX_[2615] = 0 - vX_[2614];
+ vX_[2609] = vX_[2641] * vX_[383] + vX_[2386] * vX_[395] + vX_[2609] * vX_[397] + vX_[2500] * vX_[716] + vX_[2527] * vX_[740];
+ vX_[2376] = 0 - vX_[2609];
+ vX_[2522] = vX_[2641] * vX_[356] + vX_[2386] * vX_[383] + vX_[2522] * vX_[397] + vX_[2500] * vX_[717] + vX_[2529] * vX_[740];
+ vX_[2386] = 0 - vX_[2522];
+ vX_[2641] = (vX_[2578] * vX_[390] + vX_[2615] * vX_[378] + vX_[2376] * vX_[386] + vX_[2386] * vX_[368]) * 1 / vX_[380];
+ vX_[2578] = vX_[2380] * vX_[746] + vX_[2578] * vX_[391] + vX_[2641];
+ vX_[2644] = 0 - vX_[2644];
+ vX_[2526] = vX_[2601] * vX_[383] + vX_[2608] * vX_[395] + vX_[2526] * vX_[402] + vX_[2385] * vX_[716] + vX_[2527] * vX_[741];
+ vX_[2378] = 0 - vX_[2526];
+ vX_[2523] = vX_[2601] * vX_[356] + vX_[2608] * vX_[383] + vX_[2523] * vX_[402] + vX_[2385] * vX_[717] + vX_[2529] * vX_[741];
+ vX_[2608] = 0 - vX_[2523];
+ vX_[2601] = (vX_[2644] * vX_[378] + vX_[2378] * vX_[386] + vX_[2608] * vX_[368]) * 1 / vX_[380];
+ vX_[2644] = vX_[2516] * vX_[746] + vX_[2615] * vX_[391] + vX_[2644] * vX_[381] + vX_[2601];
+ vX_[2648] = vX_[2613] + vX_[2563] * vX_[397] + vX_[2648] * vX_[402] * 2. + vX_[2619] * vX_[717] - vX_[2644];
+ vX_[2519] = 0 - (vX_[2599] + vX_[2519] * vX_[402] + vX_[2618] * vX_[397] * 2. + vX_[2619] * vX_[716]) + vX_[2578];
+ vX_[2618] = vX_[2618] + vX_[2527] * vX_[716];
+ vX_[2524] = vX_[2524] + vX_[2529] * vX_[717];
+ vX_[2599] = vX_[2618] - vX_[2524];
+ vX_[2619] = 0 - vX_[2618];
+ vX_[2563] = vX_[2563] + vX_[2527] * vX_[717] + vX_[2529] * vX_[716];
+ vX_[2613] = 0 - vX_[2563];
+ vX_[2615] = (vX_[2619] * vX_[386] + vX_[2613] * vX_[368]) * 1 / vX_[380];
+ vX_[2619] = vX_[2528] * vX_[746] + vX_[2376] * vX_[391] + vX_[2378] * vX_[381] + vX_[2619] * vX_[425] + vX_[2615];
+ vX_[2378] = 0 - vX_[2524];
+ vX_[2376] = vX_[2378] * vX_[368] * 1 / vX_[380];
+ vX_[2378] = vX_[2530] * vX_[746] + vX_[2386] * vX_[391] + vX_[2608] * vX_[381] + vX_[2613] * vX_[425] + vX_[2378] * vX_[421] + vX_[2376];
+ vX_[2613] = 0 - vX_[2378];
+ vX_[2608] = vX_[2599] * vX_[357] + vX_[2563] * vX_[360];
+ vX_[2386] = vX_[2599] * vX_[359] + vX_[2563] * vX_[357];
+ vX_[2489] = vX_[2608] * vX_[359] + vX_[2386] * vX_[357];
+ vX_[2449] = vX_[2524] + vX_[2608] * vX_[357];
+ vX_[2466] = vX_[2524] + vX_[2386] * vX_[359];
+ vX_[2376] = vX_[2618] + vX_[2524] + 0 - vX_[2380] * vX_[837] - vX_[2516] * vX_[742] - vX_[2517] * vX_[745] + vX_[2517] * vX_[746] - vX_[2528] * vX_[733] - vX_[2530] * vX_[732] - vX_[2641] * vX_[391] - vX_[2601] * vX_[381] - vX_[2615] * vX_[425] - vX_[2376] * vX_[421] - vX_[2449] - vX_[2466];
+ vX_[2615] = 0 - vX_[2376];
+ vX_[2524] = vX_[2578] * vX_[357] + vX_[2644] * vX_[360];
+ vX_[2618] = vX_[2524] + vX_[2615] * vX_[365];
+ vX_[2601] = vX_[2578] * vX_[359] + vX_[2644] * vX_[357];
+ vX_[2641] = vX_[2601] + vX_[2376] * vX_[362];
+ vX_[2530] = 0 - vX_[2378];
+ vX_[2528] = 0 - vX_[2466];
+ jac[317] = 0 - (vX_[2500] * vX_[736] + vX_[2385] * vX_[748] + vX_[2527] * vX_[734] + vX_[2529] * vX_[124] + vX_[2650] * vX_[408] + vX_[2614] * vX_[407] + vX_[2625] * -0.466187537174287 + vX_[2384] * 0.00185880198235362 + vX_[2578] * vX_[372] + vX_[2644] * vX_[376] + vX_[2526] * vX_[385] + vX_[2522] * vX_[358] + vX_[2609] * vX_[384] + vX_[2523] * vX_[361] + (vX_[2526] * vX_[357] + vX_[2609] * vX_[359]) * -8.81e-05 + (vX_[2522] * vX_[357] + vX_[2523] * vX_[360]) * 8.81e-05 + vX_[2648] * vX_[375] + vX_[2519] * vX_[371] + vX_[2599] * vX_[419] + vX_[2619] * vX_[364] + vX_[2378] * vX_[367] + vX_[2563] * vX_[418] + vX_[2613] * vX_[366] + vX_[2619] * vX_[363] + vX_[2608] * vX_[415] + vX_[2386] * vX_[417] + (vX_[2489] * vX_[374] + vX_[2615] * vX_[369] + vX_[2449] * vX_[370] + (0 - vX_[2618]) * 0.414812462825713 + (0 - (vX_[2648] * vX_[359] + vX_[2519] * vX_[357]) + vX_[2524] + vX_[2449] * vX_[365]) * 0.881 + (0 - vX_[2641]) * 0.00185880198235362 + (0 - (vX_[2613] * vX_[357] + vX_[2619] * vX_[360] + (vX_[2619] * vX_[359] + vX_[2378] * vX_[357]) * 2.)) * 8.81e-05 + vX_[2489] * 0.0004405 + vX_[2449] * -0.2209548) * -0.35 + vX_[2623] * vX_[653] + vX_[2624] * vX_[649] + vX_[2655] * vX_[651] + vX_[2620] * vX_[626] + (vX_[2383] * vX_[736] + vX_[2623] * vX_[628]) * 0.35) * vX_[782] + (vX_[2500] * vX_[748] + vX_[2527] * vX_[124] + vX_[2650] * vX_[407] + vX_[2625] * 0.00185880198235362 + vX_[2384] * -7.4114911576828e-06 + vX_[2578] * vX_[376] + vX_[2522] * vX_[361] + vX_[2609] * vX_[385] + (vX_[2526] * vX_[360] + vX_[2609] * vX_[357]) * 8.81e-05 + vX_[2648] * vX_[371] + vX_[2599] * vX_[418] + vX_[2619] * vX_[367] + vX_[2530] * vX_[363] + vX_[2608] * vX_[417] + vX_[2386] * vX_[416] + vX_[2624] * vX_[653] + vX_[2620] * vX_[651] - (vX_[2385] * vX_[736] + vX_[2623] * vX_[649]) + (vX_[2383] * vX_[748] + vX_[2376] * vX_[373] + vX_[2528] * vX_[374] + vX_[2618] * 0.00185880198235362 + vX_[2641] * 0.880992588508842 + (0 - (vX_[2648] * vX_[357] + vX_[2519] * vX_[360] + vX_[2601] + vX_[2489] * vX_[365] + vX_[2528] * vX_[362])) * 0.881 + (0 - (vX_[2530] * vX_[359] + vX_[2619] * vX_[357]) + (vX_[2619] * vX_[357] + vX_[2378] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[2489]) * -0.1104774 + (0 - vX_[2466]) * 0.000881 + vX_[2624] * vX_[628]) * 0.35 - (vX_[2529] * vX_[734] + vX_[2614] * vX_[408] + vX_[2644] * vX_[372] + vX_[2526] * vX_[384] + vX_[2523] * vX_[358] + (vX_[2522] * vX_[359] + vX_[2523] * vX_[357]) * -8.81e-05 + vX_[2519] * vX_[375] + vX_[2378] * vX_[364] + vX_[2563] * vX_[419] + vX_[2619] * vX_[366] + vX_[2655] * vX_[626])) * vX_[768];
+ vX_[2720] = vX_[2792] + vX_[2757] * vX_[383] + vX_[2720] * vX_[397] + vX_[2653] * vX_[740];
+ vX_[2786] = vX_[2792] + vX_[2657] * vX_[356] + vX_[2786] * vX_[402] + vX_[2621] * vX_[741];
+ vX_[2792] = vX_[2720] - vX_[2786];
+ vX_[2756] = vX_[2757] * vX_[356] + vX_[2657] * vX_[383] + vX_[2767] * vX_[402] + vX_[2756] * vX_[397] + vX_[2653] * vX_[741] + vX_[2621] * vX_[740];
+ vX_[2767] = vX_[2792] * vX_[357] + vX_[2756] * vX_[360];
+ vX_[2657] = vX_[2792] * vX_[359] + vX_[2756] * vX_[357];
+ vX_[2720] = 0 - vX_[2720];
+ vX_[2757] = 0 - vX_[2756];
+ vX_[2751] = vX_[2783] * vX_[383] + vX_[2629] * vX_[395] + vX_[2751] * vX_[397] + vX_[2653] * vX_[716] + vX_[2669] * vX_[740];
+ vX_[2528] = 0 - vX_[2751];
+ vX_[2652] = vX_[2783] * vX_[356] + vX_[2629] * vX_[383] + vX_[2652] * vX_[397] + vX_[2653] * vX_[717] + vX_[2671] * vX_[740];
+ vX_[2629] = 0 - vX_[2652];
+ vX_[2783] = (vX_[2720] * vX_[390] + vX_[2757] * vX_[378] + vX_[2528] * vX_[386] + vX_[2629] * vX_[368]) * 1 / vX_[380];
+ vX_[2720] = vX_[2538] * vX_[746] + vX_[2720] * vX_[391] + vX_[2783];
+ vX_[2786] = 0 - vX_[2786];
+ vX_[2668] = vX_[2743] * vX_[383] + vX_[2750] * vX_[395] + vX_[2668] * vX_[402] + vX_[2621] * vX_[716] + vX_[2669] * vX_[741];
+ vX_[2530] = 0 - vX_[2668];
+ vX_[2537] = vX_[2743] * vX_[356] + vX_[2750] * vX_[383] + vX_[2537] * vX_[402] + vX_[2621] * vX_[717] + vX_[2671] * vX_[741];
+ vX_[2750] = 0 - vX_[2537];
+ vX_[2743] = (vX_[2786] * vX_[378] + vX_[2530] * vX_[386] + vX_[2750] * vX_[368]) * 1 / vX_[380];
+ vX_[2786] = vX_[2656] * vX_[746] + vX_[2757] * vX_[391] + vX_[2786] * vX_[381] + vX_[2743];
+ vX_[2790] = vX_[2755] + vX_[2705] * vX_[397] + vX_[2790] * vX_[402] * 2. + vX_[2761] * vX_[717] - vX_[2786];
+ vX_[2534] = 0 - (vX_[2741] + vX_[2534] * vX_[402] + vX_[2760] * vX_[397] * 2. + vX_[2761] * vX_[716]) + vX_[2720];
+ vX_[2760] = vX_[2760] + vX_[2669] * vX_[716];
+ vX_[2535] = vX_[2535] + vX_[2671] * vX_[717];
+ vX_[2741] = vX_[2760] - vX_[2535];
+ vX_[2761] = 0 - vX_[2760];
+ vX_[2705] = vX_[2705] + vX_[2669] * vX_[717] + vX_[2671] * vX_[716];
+ vX_[2755] = 0 - vX_[2705];
+ vX_[2757] = (vX_[2761] * vX_[386] + vX_[2755] * vX_[368]) * 1 / vX_[380];
+ vX_[2761] = vX_[2670] * vX_[746] + vX_[2528] * vX_[391] + vX_[2530] * vX_[381] + vX_[2761] * vX_[425] + vX_[2757];
+ vX_[2530] = 0 - vX_[2535];
+ vX_[2528] = vX_[2530] * vX_[368] * 1 / vX_[380];
+ vX_[2530] = vX_[2672] * vX_[746] + vX_[2629] * vX_[391] + vX_[2750] * vX_[381] + vX_[2755] * vX_[425] + vX_[2530] * vX_[421] + vX_[2528];
+ vX_[2755] = 0 - vX_[2530];
+ vX_[2750] = vX_[2741] * vX_[357] + vX_[2705] * vX_[360];
+ vX_[2629] = vX_[2741] * vX_[359] + vX_[2705] * vX_[357];
+ vX_[2641] = vX_[2750] * vX_[359] + vX_[2629] * vX_[357];
+ vX_[2601] = vX_[2535] + vX_[2750] * vX_[357];
+ vX_[2618] = vX_[2535] + vX_[2629] * vX_[359];
+ vX_[2528] = vX_[2760] + vX_[2535] + 0 - vX_[2538] * vX_[837] - vX_[2656] * vX_[742] - vX_[2536] * vX_[745] + vX_[2536] * vX_[746] - vX_[2670] * vX_[733] - vX_[2672] * vX_[732] - vX_[2783] * vX_[391] - vX_[2743] * vX_[381] - vX_[2757] * vX_[425] - vX_[2528] * vX_[421] - vX_[2601] - vX_[2618];
+ vX_[2757] = 0 - vX_[2528];
+ vX_[2535] = vX_[2720] * vX_[357] + vX_[2786] * vX_[360];
+ vX_[2760] = vX_[2535] + vX_[2757] * vX_[365];
+ vX_[2743] = vX_[2720] * vX_[359] + vX_[2786] * vX_[357];
+ vX_[2783] = vX_[2743] + vX_[2528] * vX_[362];
+ vX_[2672] = 0 - vX_[2530];
+ vX_[2670] = 0 - vX_[2618];
+ jac[318] = 0 - (vX_[2653] * vX_[736] + vX_[2621] * vX_[748] + vX_[2669] * vX_[734] + vX_[2671] * vX_[124] + vX_[2792] * vX_[408] + vX_[2756] * vX_[407] + vX_[2767] * -0.466187537174287 + vX_[2657] * 0.00185880198235362 + vX_[2720] * vX_[372] + vX_[2786] * vX_[376] + vX_[2668] * vX_[385] + vX_[2652] * vX_[358] + vX_[2751] * vX_[384] + vX_[2537] * vX_[361] + (vX_[2668] * vX_[357] + vX_[2751] * vX_[359]) * -8.81e-05 + (vX_[2652] * vX_[357] + vX_[2537] * vX_[360]) * 8.81e-05 + vX_[2790] * vX_[375] + vX_[2534] * vX_[371] + vX_[2741] * vX_[419] + vX_[2761] * vX_[364] + vX_[2530] * vX_[367] + vX_[2705] * vX_[418] + vX_[2755] * vX_[366] + vX_[2761] * vX_[363] + vX_[2750] * vX_[415] + vX_[2629] * vX_[417] + (vX_[2641] * vX_[374] + vX_[2757] * vX_[369] + vX_[2601] * vX_[370] + (0 - vX_[2760]) * 0.414812462825713 + (0 - (vX_[2790] * vX_[359] + vX_[2534] * vX_[357]) + vX_[2535] + vX_[2601] * vX_[365]) * 0.881 + (0 - vX_[2783]) * 0.00185880198235362 + (0 - (vX_[2755] * vX_[357] + vX_[2761] * vX_[360] + (vX_[2761] * vX_[359] + vX_[2530] * vX_[357]) * 2.)) * 8.81e-05 + vX_[2641] * 0.0004405 + vX_[2601] * -0.2209548) * -0.35 + vX_[2765] * vX_[653] + vX_[2766] * vX_[649] + vX_[2797] * vX_[651] + vX_[2762] * vX_[626] + (vX_[2540] * vX_[736] + vX_[2765] * vX_[628]) * 0.35) * vX_[782] + (vX_[2653] * vX_[748] + vX_[2669] * vX_[124] + vX_[2792] * vX_[407] + vX_[2767] * 0.00185880198235362 + vX_[2657] * -7.4114911576828e-06 + vX_[2720] * vX_[376] + vX_[2652] * vX_[361] + vX_[2751] * vX_[385] + (vX_[2668] * vX_[360] + vX_[2751] * vX_[357]) * 8.81e-05 + vX_[2790] * vX_[371] + vX_[2741] * vX_[418] + vX_[2761] * vX_[367] + vX_[2672] * vX_[363] + vX_[2750] * vX_[417] + vX_[2629] * vX_[416] + vX_[2766] * vX_[653] + vX_[2762] * vX_[651] - (vX_[2621] * vX_[736] + vX_[2765] * vX_[649]) + (vX_[2540] * vX_[748] + vX_[2528] * vX_[373] + vX_[2670] * vX_[374] + vX_[2760] * 0.00185880198235362 + vX_[2783] * 0.880992588508842 + (0 - (vX_[2790] * vX_[357] + vX_[2534] * vX_[360] + vX_[2743] + vX_[2641] * vX_[365] + vX_[2670] * vX_[362])) * 0.881 + (0 - (vX_[2672] * vX_[359] + vX_[2761] * vX_[357]) + (vX_[2761] * vX_[357] + vX_[2530] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[2641]) * -0.1104774 + (0 - vX_[2618]) * 0.000881 + vX_[2766] * vX_[628]) * 0.35 - (vX_[2671] * vX_[734] + vX_[2756] * vX_[408] + vX_[2786] * vX_[372] + vX_[2668] * vX_[384] + vX_[2537] * vX_[358] + (vX_[2652] * vX_[359] + vX_[2537] * vX_[357]) * -8.81e-05 + vX_[2534] * vX_[375] + vX_[2530] * vX_[364] + vX_[2705] * vX_[419] + vX_[2761] * vX_[366] + vX_[2797] * vX_[626])) * vX_[768];
+ vX_[2870] = vX_[2942] + vX_[2907] * vX_[383] + vX_[2870] * vX_[397] + vX_[2673] * vX_[740];
+ vX_[2936] = vX_[2942] + vX_[2680] * vX_[356] + vX_[2936] * vX_[402] + vX_[2796] * vX_[741];
+ vX_[2942] = vX_[2870] - vX_[2936];
+ vX_[2906] = vX_[2907] * vX_[356] + vX_[2680] * vX_[383] + vX_[2917] * vX_[402] + vX_[2906] * vX_[397] + vX_[2673] * vX_[741] + vX_[2796] * vX_[740];
+ vX_[2917] = vX_[2942] * vX_[357] + vX_[2906] * vX_[360];
+ vX_[2680] = vX_[2942] * vX_[359] + vX_[2906] * vX_[357];
+ vX_[2870] = 0 - vX_[2870];
+ vX_[2907] = 0 - vX_[2906];
+ vX_[2901] = vX_[2933] * vX_[383] + vX_[2763] * vX_[395] + vX_[2901] * vX_[397] + vX_[2673] * vX_[716] + vX_[2819] * vX_[740];
+ vX_[2670] = 0 - vX_[2901];
+ vX_[2814] = vX_[2933] * vX_[356] + vX_[2763] * vX_[383] + vX_[2814] * vX_[397] + vX_[2673] * vX_[717] + vX_[2821] * vX_[740];
+ vX_[2763] = 0 - vX_[2814];
+ vX_[2933] = (vX_[2870] * vX_[390] + vX_[2907] * vX_[378] + vX_[2670] * vX_[386] + vX_[2763] * vX_[368]) * 1 / vX_[380];
+ vX_[2870] = vX_[2679] * vX_[746] + vX_[2870] * vX_[391] + vX_[2933];
+ vX_[2936] = 0 - vX_[2936];
+ vX_[2818] = vX_[2893] * vX_[383] + vX_[2900] * vX_[395] + vX_[2818] * vX_[402] + vX_[2796] * vX_[716] + vX_[2819] * vX_[741];
+ vX_[2672] = 0 - vX_[2818];
+ vX_[2815] = vX_[2893] * vX_[356] + vX_[2900] * vX_[383] + vX_[2815] * vX_[402] + vX_[2796] * vX_[717] + vX_[2821] * vX_[741];
+ vX_[2900] = 0 - vX_[2815];
+ vX_[2893] = (vX_[2936] * vX_[378] + vX_[2672] * vX_[386] + vX_[2900] * vX_[368]) * 1 / vX_[380];
+ vX_[2936] = vX_[2677] * vX_[746] + vX_[2907] * vX_[391] + vX_[2936] * vX_[381] + vX_[2893];
+ vX_[2940] = vX_[2905] + vX_[2855] * vX_[397] + vX_[2940] * vX_[402] * 2. + vX_[2911] * vX_[717] - vX_[2936];
+ vX_[2811] = 0 - (vX_[2891] + vX_[2811] * vX_[402] + vX_[2910] * vX_[397] * 2. + vX_[2911] * vX_[716]) + vX_[2870];
+ vX_[2910] = vX_[2910] + vX_[2819] * vX_[716];
+ vX_[2816] = vX_[2816] + vX_[2821] * vX_[717];
+ vX_[2891] = vX_[2910] - vX_[2816];
+ vX_[2911] = 0 - vX_[2910];
+ vX_[2855] = vX_[2855] + vX_[2819] * vX_[717] + vX_[2821] * vX_[716];
+ vX_[2905] = 0 - vX_[2855];
+ vX_[2907] = (vX_[2911] * vX_[386] + vX_[2905] * vX_[368]) * 1 / vX_[380];
+ vX_[2911] = vX_[2820] * vX_[746] + vX_[2670] * vX_[391] + vX_[2672] * vX_[381] + vX_[2911] * vX_[425] + vX_[2907];
+ vX_[2672] = 0 - vX_[2816];
+ vX_[2670] = vX_[2672] * vX_[368] * 1 / vX_[380];
+ vX_[2672] = vX_[2822] * vX_[746] + vX_[2763] * vX_[391] + vX_[2900] * vX_[381] + vX_[2905] * vX_[425] + vX_[2672] * vX_[421] + vX_[2670];
+ vX_[2905] = 0 - vX_[2672];
+ vX_[2900] = vX_[2891] * vX_[357] + vX_[2855] * vX_[360];
+ vX_[2763] = vX_[2891] * vX_[359] + vX_[2855] * vX_[357];
+ vX_[2783] = vX_[2900] * vX_[359] + vX_[2763] * vX_[357];
+ vX_[2743] = vX_[2816] + vX_[2900] * vX_[357];
+ vX_[2760] = vX_[2816] + vX_[2763] * vX_[359];
+ vX_[2670] = vX_[2910] + vX_[2816] + 0 - vX_[2679] * vX_[837] - vX_[2677] * vX_[742] - vX_[2674] * vX_[745] + vX_[2674] * vX_[746] - vX_[2820] * vX_[733] - vX_[2822] * vX_[732] - vX_[2933] * vX_[391] - vX_[2893] * vX_[381] - vX_[2907] * vX_[425] - vX_[2670] * vX_[421] - vX_[2743] - vX_[2760];
+ vX_[2907] = 0 - vX_[2670];
+ vX_[2816] = vX_[2870] * vX_[357] + vX_[2936] * vX_[360];
+ vX_[2910] = vX_[2816] + vX_[2907] * vX_[365];
+ vX_[2893] = vX_[2870] * vX_[359] + vX_[2936] * vX_[357];
+ vX_[2933] = vX_[2893] + vX_[2670] * vX_[362];
+ vX_[2822] = 0 - vX_[2672];
+ vX_[2820] = 0 - vX_[2760];
+ jac[319] = 0 - (vX_[2673] * vX_[736] + vX_[2796] * vX_[748] + vX_[2819] * vX_[734] + vX_[2821] * vX_[124] + vX_[2942] * vX_[408] + vX_[2906] * vX_[407] + vX_[2917] * -0.466187537174287 + vX_[2680] * 0.00185880198235362 + vX_[2870] * vX_[372] + vX_[2936] * vX_[376] + vX_[2818] * vX_[385] + vX_[2814] * vX_[358] + vX_[2901] * vX_[384] + vX_[2815] * vX_[361] + (vX_[2818] * vX_[357] + vX_[2901] * vX_[359]) * -8.81e-05 + (vX_[2814] * vX_[357] + vX_[2815] * vX_[360]) * 8.81e-05 + vX_[2940] * vX_[375] + vX_[2811] * vX_[371] + vX_[2891] * vX_[419] + vX_[2911] * vX_[364] + vX_[2672] * vX_[367] + vX_[2855] * vX_[418] + vX_[2905] * vX_[366] + vX_[2911] * vX_[363] + vX_[2900] * vX_[415] + vX_[2763] * vX_[417] + (vX_[2783] * vX_[374] + vX_[2907] * vX_[369] + vX_[2743] * vX_[370] + (0 - vX_[2910]) * 0.414812462825713 + (0 - (vX_[2940] * vX_[359] + vX_[2811] * vX_[357]) + vX_[2816] + vX_[2743] * vX_[365]) * 0.881 + (0 - vX_[2933]) * 0.00185880198235362 + (0 - (vX_[2905] * vX_[357] + vX_[2911] * vX_[360] + (vX_[2911] * vX_[359] + vX_[2672] * vX_[357]) * 2.)) * 8.81e-05 + vX_[2783] * 0.0004405 + vX_[2743] * -0.2209548) * -0.35 + vX_[2915] * vX_[653] + vX_[2916] * vX_[649] + vX_[2947] * vX_[651] + vX_[2912] * vX_[626] + (vX_[2794] * vX_[736] + vX_[2915] * vX_[628]) * 0.35) * vX_[782] + (vX_[2673] * vX_[748] + vX_[2819] * vX_[124] + vX_[2942] * vX_[407] + vX_[2917] * 0.00185880198235362 + vX_[2680] * -7.4114911576828e-06 + vX_[2870] * vX_[376] + vX_[2814] * vX_[361] + vX_[2901] * vX_[385] + (vX_[2818] * vX_[360] + vX_[2901] * vX_[357]) * 8.81e-05 + vX_[2940] * vX_[371] + vX_[2891] * vX_[418] + vX_[2911] * vX_[367] + vX_[2822] * vX_[363] + vX_[2900] * vX_[417] + vX_[2763] * vX_[416] + vX_[2916] * vX_[653] + vX_[2912] * vX_[651] - (vX_[2796] * vX_[736] + vX_[2915] * vX_[649]) + (vX_[2794] * vX_[748] + vX_[2670] * vX_[373] + vX_[2820] * vX_[374] + vX_[2910] * 0.00185880198235362 + vX_[2933] * 0.880992588508842 + (0 - (vX_[2940] * vX_[357] + vX_[2811] * vX_[360] + vX_[2893] + vX_[2783] * vX_[365] + vX_[2820] * vX_[362])) * 0.881 + (0 - (vX_[2822] * vX_[359] + vX_[2911] * vX_[357]) + (vX_[2911] * vX_[357] + vX_[2672] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[2783]) * -0.1104774 + (0 - vX_[2760]) * 0.000881 + vX_[2916] * vX_[628]) * 0.35 - (vX_[2821] * vX_[734] + vX_[2906] * vX_[408] + vX_[2936] * vX_[372] + vX_[2818] * vX_[384] + vX_[2815] * vX_[358] + (vX_[2814] * vX_[359] + vX_[2815] * vX_[357]) * -8.81e-05 + vX_[2811] * vX_[375] + vX_[2672] * vX_[364] + vX_[2855] * vX_[419] + vX_[2911] * vX_[366] + vX_[2947] * vX_[626])) * vX_[768];
+ vX_[3020] = vX_[3092] + vX_[3057] * vX_[383] + vX_[3020] * vX_[397] + vX_[2823] * vX_[740];
+ vX_[3086] = vX_[3092] + vX_[2830] * vX_[356] + vX_[3086] * vX_[402] + vX_[2946] * vX_[741];
+ vX_[3092] = vX_[3020] - vX_[3086];
+ vX_[3056] = vX_[3057] * vX_[356] + vX_[2830] * vX_[383] + vX_[3067] * vX_[402] + vX_[3056] * vX_[397] + vX_[2823] * vX_[741] + vX_[2946] * vX_[740];
+ vX_[3067] = vX_[3092] * vX_[357] + vX_[3056] * vX_[360];
+ vX_[2830] = vX_[3092] * vX_[359] + vX_[3056] * vX_[357];
+ vX_[3020] = 0 - vX_[3020];
+ vX_[3057] = 0 - vX_[3056];
+ vX_[3051] = vX_[3083] * vX_[383] + vX_[2913] * vX_[395] + vX_[3051] * vX_[397] + vX_[2823] * vX_[716] + vX_[2969] * vX_[740];
+ vX_[2820] = 0 - vX_[3051];
+ vX_[2964] = vX_[3083] * vX_[356] + vX_[2913] * vX_[383] + vX_[2964] * vX_[397] + vX_[2823] * vX_[717] + vX_[2971] * vX_[740];
+ vX_[2913] = 0 - vX_[2964];
+ vX_[3083] = (vX_[3020] * vX_[390] + vX_[3057] * vX_[378] + vX_[2820] * vX_[386] + vX_[2913] * vX_[368]) * 1 / vX_[380];
+ vX_[3020] = vX_[2829] * vX_[746] + vX_[3020] * vX_[391] + vX_[3083];
+ vX_[3086] = 0 - vX_[3086];
+ vX_[2968] = vX_[3043] * vX_[383] + vX_[3050] * vX_[395] + vX_[2968] * vX_[402] + vX_[2946] * vX_[716] + vX_[2969] * vX_[741];
+ vX_[2822] = 0 - vX_[2968];
+ vX_[2965] = vX_[3043] * vX_[356] + vX_[3050] * vX_[383] + vX_[2965] * vX_[402] + vX_[2946] * vX_[717] + vX_[2971] * vX_[741];
+ vX_[3050] = 0 - vX_[2965];
+ vX_[3043] = (vX_[3086] * vX_[378] + vX_[2822] * vX_[386] + vX_[3050] * vX_[368]) * 1 / vX_[380];
+ vX_[3086] = vX_[2827] * vX_[746] + vX_[3057] * vX_[391] + vX_[3086] * vX_[381] + vX_[3043];
+ vX_[3090] = vX_[3055] + vX_[3005] * vX_[397] + vX_[3090] * vX_[402] * 2. + vX_[3061] * vX_[717] - vX_[3086];
+ vX_[2961] = 0 - (vX_[3041] + vX_[2961] * vX_[402] + vX_[3060] * vX_[397] * 2. + vX_[3061] * vX_[716]) + vX_[3020];
+ vX_[3060] = vX_[3060] + vX_[2969] * vX_[716];
+ vX_[2966] = vX_[2966] + vX_[2971] * vX_[717];
+ vX_[3041] = vX_[3060] - vX_[2966];
+ vX_[3061] = 0 - vX_[3060];
+ vX_[3005] = vX_[3005] + vX_[2969] * vX_[717] + vX_[2971] * vX_[716];
+ vX_[3055] = 0 - vX_[3005];
+ vX_[3057] = (vX_[3061] * vX_[386] + vX_[3055] * vX_[368]) * 1 / vX_[380];
+ vX_[3061] = vX_[2970] * vX_[746] + vX_[2820] * vX_[391] + vX_[2822] * vX_[381] + vX_[3061] * vX_[425] + vX_[3057];
+ vX_[2822] = 0 - vX_[2966];
+ vX_[2820] = vX_[2822] * vX_[368] * 1 / vX_[380];
+ vX_[2822] = vX_[2972] * vX_[746] + vX_[2913] * vX_[391] + vX_[3050] * vX_[381] + vX_[3055] * vX_[425] + vX_[2822] * vX_[421] + vX_[2820];
+ vX_[3055] = 0 - vX_[2822];
+ vX_[3050] = vX_[3041] * vX_[357] + vX_[3005] * vX_[360];
+ vX_[2913] = vX_[3041] * vX_[359] + vX_[3005] * vX_[357];
+ vX_[2933] = vX_[3050] * vX_[359] + vX_[2913] * vX_[357];
+ vX_[2893] = vX_[2966] + vX_[3050] * vX_[357];
+ vX_[2910] = vX_[2966] + vX_[2913] * vX_[359];
+ vX_[2820] = vX_[3060] + vX_[2966] + 0 - vX_[2829] * vX_[837] - vX_[2827] * vX_[742] - vX_[2824] * vX_[745] + vX_[2824] * vX_[746] - vX_[2970] * vX_[733] - vX_[2972] * vX_[732] - vX_[3083] * vX_[391] - vX_[3043] * vX_[381] - vX_[3057] * vX_[425] - vX_[2820] * vX_[421] - vX_[2893] - vX_[2910];
+ vX_[3057] = 0 - vX_[2820];
+ vX_[2966] = vX_[3020] * vX_[357] + vX_[3086] * vX_[360];
+ vX_[3060] = vX_[2966] + vX_[3057] * vX_[365];
+ vX_[3043] = vX_[3020] * vX_[359] + vX_[3086] * vX_[357];
+ vX_[3083] = vX_[3043] + vX_[2820] * vX_[362];
+ vX_[2972] = 0 - vX_[2822];
+ vX_[2970] = 0 - vX_[2910];
+ jac[320] = 0 - (vX_[2823] * vX_[736] + vX_[2946] * vX_[748] + vX_[2969] * vX_[734] + vX_[2971] * vX_[124] + vX_[3092] * vX_[408] + vX_[3056] * vX_[407] + vX_[3067] * -0.466187537174287 + vX_[2830] * 0.00185880198235362 + vX_[3020] * vX_[372] + vX_[3086] * vX_[376] + vX_[2968] * vX_[385] + vX_[2964] * vX_[358] + vX_[3051] * vX_[384] + vX_[2965] * vX_[361] + (vX_[2968] * vX_[357] + vX_[3051] * vX_[359]) * -8.81e-05 + (vX_[2964] * vX_[357] + vX_[2965] * vX_[360]) * 8.81e-05 + vX_[3090] * vX_[375] + vX_[2961] * vX_[371] + vX_[3041] * vX_[419] + vX_[3061] * vX_[364] + vX_[2822] * vX_[367] + vX_[3005] * vX_[418] + vX_[3055] * vX_[366] + vX_[3061] * vX_[363] + vX_[3050] * vX_[415] + vX_[2913] * vX_[417] + (vX_[2933] * vX_[374] + vX_[3057] * vX_[369] + vX_[2893] * vX_[370] + (0 - vX_[3060]) * 0.414812462825713 + (0 - (vX_[3090] * vX_[359] + vX_[2961] * vX_[357]) + vX_[2966] + vX_[2893] * vX_[365]) * 0.881 + (0 - vX_[3083]) * 0.00185880198235362 + (0 - (vX_[3055] * vX_[357] + vX_[3061] * vX_[360] + (vX_[3061] * vX_[359] + vX_[2822] * vX_[357]) * 2.)) * 8.81e-05 + vX_[2933] * 0.0004405 + vX_[2893] * -0.2209548) * -0.35 + vX_[3065] * vX_[653] + vX_[3066] * vX_[649] + vX_[3097] * vX_[651] + vX_[3062] * vX_[626] + (vX_[2944] * vX_[736] + vX_[3065] * vX_[628]) * 0.35) * vX_[782] + (vX_[2823] * vX_[748] + vX_[2969] * vX_[124] + vX_[3092] * vX_[407] + vX_[3067] * 0.00185880198235362 + vX_[2830] * -7.4114911576828e-06 + vX_[3020] * vX_[376] + vX_[2964] * vX_[361] + vX_[3051] * vX_[385] + (vX_[2968] * vX_[360] + vX_[3051] * vX_[357]) * 8.81e-05 + vX_[3090] * vX_[371] + vX_[3041] * vX_[418] + vX_[3061] * vX_[367] + vX_[2972] * vX_[363] + vX_[3050] * vX_[417] + vX_[2913] * vX_[416] + vX_[3066] * vX_[653] + vX_[3062] * vX_[651] - (vX_[2946] * vX_[736] + vX_[3065] * vX_[649]) + (vX_[2944] * vX_[748] + vX_[2820] * vX_[373] + vX_[2970] * vX_[374] + vX_[3060] * 0.00185880198235362 + vX_[3083] * 0.880992588508842 + (0 - (vX_[3090] * vX_[357] + vX_[2961] * vX_[360] + vX_[3043] + vX_[2933] * vX_[365] + vX_[2970] * vX_[362])) * 0.881 + (0 - (vX_[2972] * vX_[359] + vX_[3061] * vX_[357]) + (vX_[3061] * vX_[357] + vX_[2822] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[2933]) * -0.1104774 + (0 - vX_[2910]) * 0.000881 + vX_[3066] * vX_[628]) * 0.35 - (vX_[2971] * vX_[734] + vX_[3056] * vX_[408] + vX_[3086] * vX_[372] + vX_[2968] * vX_[384] + vX_[2965] * vX_[358] + (vX_[2964] * vX_[359] + vX_[2965] * vX_[357]) * -8.81e-05 + vX_[2961] * vX_[375] + vX_[2822] * vX_[364] + vX_[3005] * vX_[419] + vX_[3061] * vX_[366] + vX_[3097] * vX_[626])) * vX_[768];
+ vX_[3162] = vX_[3234] + vX_[3199] * vX_[383] + vX_[3162] * vX_[397] + vX_[3095] * vX_[740];
+ vX_[3228] = vX_[3234] + vX_[3099] * vX_[356] + vX_[3228] * vX_[402] + vX_[3063] * vX_[741];
+ vX_[3234] = vX_[3162] - vX_[3228];
+ vX_[3198] = vX_[3199] * vX_[356] + vX_[3099] * vX_[383] + vX_[3209] * vX_[402] + vX_[3198] * vX_[397] + vX_[3095] * vX_[741] + vX_[3063] * vX_[740];
+ vX_[3209] = vX_[3234] * vX_[357] + vX_[3198] * vX_[360];
+ vX_[3099] = vX_[3234] * vX_[359] + vX_[3198] * vX_[357];
+ vX_[3162] = 0 - vX_[3162];
+ vX_[3199] = 0 - vX_[3198];
+ vX_[3193] = vX_[3225] * vX_[383] + vX_[3071] * vX_[395] + vX_[3193] * vX_[397] + vX_[3095] * vX_[716] + vX_[3111] * vX_[740];
+ vX_[2970] = 0 - vX_[3193];
+ vX_[3094] = vX_[3225] * vX_[356] + vX_[3071] * vX_[383] + vX_[3094] * vX_[397] + vX_[3095] * vX_[717] + vX_[3113] * vX_[740];
+ vX_[3071] = 0 - vX_[3094];
+ vX_[3225] = (vX_[3162] * vX_[390] + vX_[3199] * vX_[378] + vX_[2970] * vX_[386] + vX_[3071] * vX_[368]) * 1 / vX_[380];
+ vX_[3162] = vX_[2980] * vX_[746] + vX_[3162] * vX_[391] + vX_[3225];
+ vX_[3228] = 0 - vX_[3228];
+ vX_[3110] = vX_[3185] * vX_[383] + vX_[3192] * vX_[395] + vX_[3110] * vX_[402] + vX_[3063] * vX_[716] + vX_[3111] * vX_[741];
+ vX_[2972] = 0 - vX_[3110];
+ vX_[2979] = vX_[3185] * vX_[356] + vX_[3192] * vX_[383] + vX_[2979] * vX_[402] + vX_[3063] * vX_[717] + vX_[3113] * vX_[741];
+ vX_[3192] = 0 - vX_[2979];
+ vX_[3185] = (vX_[3228] * vX_[378] + vX_[2972] * vX_[386] + vX_[3192] * vX_[368]) * 1 / vX_[380];
+ vX_[3228] = vX_[3098] * vX_[746] + vX_[3199] * vX_[391] + vX_[3228] * vX_[381] + vX_[3185];
+ vX_[3232] = vX_[3197] + vX_[3147] * vX_[397] + vX_[3232] * vX_[402] * 2. + vX_[3203] * vX_[717] - vX_[3228];
+ vX_[2976] = 0 - (vX_[3183] + vX_[2976] * vX_[402] + vX_[3202] * vX_[397] * 2. + vX_[3203] * vX_[716]) + vX_[3162];
+ vX_[3202] = vX_[3202] + vX_[3111] * vX_[716];
+ vX_[2977] = vX_[2977] + vX_[3113] * vX_[717];
+ vX_[3183] = vX_[3202] - vX_[2977];
+ vX_[3203] = 0 - vX_[3202];
+ vX_[3147] = vX_[3147] + vX_[3111] * vX_[717] + vX_[3113] * vX_[716];
+ vX_[3197] = 0 - vX_[3147];
+ vX_[3199] = (vX_[3203] * vX_[386] + vX_[3197] * vX_[368]) * 1 / vX_[380];
+ vX_[3203] = vX_[3112] * vX_[746] + vX_[2970] * vX_[391] + vX_[2972] * vX_[381] + vX_[3203] * vX_[425] + vX_[3199];
+ vX_[2972] = 0 - vX_[2977];
+ vX_[2970] = vX_[2972] * vX_[368] * 1 / vX_[380];
+ vX_[2972] = vX_[3114] * vX_[746] + vX_[3071] * vX_[391] + vX_[3192] * vX_[381] + vX_[3197] * vX_[425] + vX_[2972] * vX_[421] + vX_[2970];
+ vX_[3197] = 0 - vX_[2972];
+ vX_[3192] = vX_[3183] * vX_[357] + vX_[3147] * vX_[360];
+ vX_[3071] = vX_[3183] * vX_[359] + vX_[3147] * vX_[357];
+ vX_[3083] = vX_[3192] * vX_[359] + vX_[3071] * vX_[357];
+ vX_[3043] = vX_[2977] + vX_[3192] * vX_[357];
+ vX_[3060] = vX_[2977] + vX_[3071] * vX_[359];
+ vX_[2970] = vX_[3202] + vX_[2977] + 0 - vX_[2980] * vX_[837] - vX_[3098] * vX_[742] - vX_[2978] * vX_[745] + vX_[2978] * vX_[746] - vX_[3112] * vX_[733] - vX_[3114] * vX_[732] - vX_[3225] * vX_[391] - vX_[3185] * vX_[381] - vX_[3199] * vX_[425] - vX_[2970] * vX_[421] - vX_[3043] - vX_[3060];
+ vX_[3199] = 0 - vX_[2970];
+ vX_[2977] = vX_[3162] * vX_[357] + vX_[3228] * vX_[360];
+ vX_[3202] = vX_[2977] + vX_[3199] * vX_[365];
+ vX_[3185] = vX_[3162] * vX_[359] + vX_[3228] * vX_[357];
+ vX_[3225] = vX_[3185] + vX_[2970] * vX_[362];
+ vX_[3114] = 0 - vX_[2972];
+ vX_[3112] = 0 - vX_[3060];
+ jac[321] = 0 - (vX_[3095] * vX_[736] + vX_[3063] * vX_[748] + vX_[3111] * vX_[734] + vX_[3113] * vX_[124] + vX_[3234] * vX_[408] + vX_[3198] * vX_[407] + vX_[3209] * -0.466187537174287 + vX_[3099] * 0.00185880198235362 + vX_[3162] * vX_[372] + vX_[3228] * vX_[376] + vX_[3110] * vX_[385] + vX_[3094] * vX_[358] + vX_[3193] * vX_[384] + vX_[2979] * vX_[361] + (vX_[3110] * vX_[357] + vX_[3193] * vX_[359]) * -8.81e-05 + (vX_[3094] * vX_[357] + vX_[2979] * vX_[360]) * 8.81e-05 + vX_[3232] * vX_[375] + vX_[2976] * vX_[371] + vX_[3183] * vX_[419] + vX_[3203] * vX_[364] + vX_[2972] * vX_[367] + vX_[3147] * vX_[418] + vX_[3197] * vX_[366] + vX_[3203] * vX_[363] + vX_[3192] * vX_[415] + vX_[3071] * vX_[417] + (vX_[3083] * vX_[374] + vX_[3199] * vX_[369] + vX_[3043] * vX_[370] + (0 - vX_[3202]) * 0.414812462825713 + (0 - (vX_[3232] * vX_[359] + vX_[2976] * vX_[357]) + vX_[2977] + vX_[3043] * vX_[365]) * 0.881 + (0 - vX_[3225]) * 0.00185880198235362 + (0 - (vX_[3197] * vX_[357] + vX_[3203] * vX_[360] + (vX_[3203] * vX_[359] + vX_[2972] * vX_[357]) * 2.)) * 8.81e-05 + vX_[3083] * 0.0004405 + vX_[3043] * -0.2209548) * -0.35 + vX_[3207] * vX_[653] + vX_[3208] * vX_[649] + vX_[3239] * vX_[651] + vX_[3204] * vX_[626] + (vX_[2982] * vX_[736] + vX_[3207] * vX_[628]) * 0.35) * vX_[782] + (vX_[3095] * vX_[748] + vX_[3111] * vX_[124] + vX_[3234] * vX_[407] + vX_[3209] * 0.00185880198235362 + vX_[3099] * -7.4114911576828e-06 + vX_[3162] * vX_[376] + vX_[3094] * vX_[361] + vX_[3193] * vX_[385] + (vX_[3110] * vX_[360] + vX_[3193] * vX_[357]) * 8.81e-05 + vX_[3232] * vX_[371] + vX_[3183] * vX_[418] + vX_[3203] * vX_[367] + vX_[3114] * vX_[363] + vX_[3192] * vX_[417] + vX_[3071] * vX_[416] + vX_[3208] * vX_[653] + vX_[3204] * vX_[651] - (vX_[3063] * vX_[736] + vX_[3207] * vX_[649]) + (vX_[2982] * vX_[748] + vX_[2970] * vX_[373] + vX_[3112] * vX_[374] + vX_[3202] * 0.00185880198235362 + vX_[3225] * 0.880992588508842 + (0 - (vX_[3232] * vX_[357] + vX_[2976] * vX_[360] + vX_[3185] + vX_[3083] * vX_[365] + vX_[3112] * vX_[362])) * 0.881 + (0 - (vX_[3114] * vX_[359] + vX_[3203] * vX_[357]) + (vX_[3203] * vX_[357] + vX_[2972] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[3083]) * -0.1104774 + (0 - vX_[3060]) * 0.000881 + vX_[3208] * vX_[628]) * 0.35 - (vX_[3113] * vX_[734] + vX_[3198] * vX_[408] + vX_[3228] * vX_[372] + vX_[3110] * vX_[384] + vX_[2979] * vX_[358] + (vX_[3094] * vX_[359] + vX_[2979] * vX_[357]) * -8.81e-05 + vX_[2976] * vX_[375] + vX_[2972] * vX_[364] + vX_[3147] * vX_[419] + vX_[3203] * vX_[366] + vX_[3239] * vX_[626])) * vX_[768];
+ vX_[3314] = vX_[3386] + vX_[3351] * vX_[383] + vX_[3314] * vX_[397] + vX_[3236] * vX_[740];
+ vX_[3380] = vX_[3386] + vX_[3120] * vX_[356] + vX_[3380] * vX_[402] + vX_[3121] * vX_[741];
+ vX_[3386] = vX_[3314] - vX_[3380];
+ vX_[3350] = vX_[3351] * vX_[356] + vX_[3120] * vX_[383] + vX_[3361] * vX_[402] + vX_[3350] * vX_[397] + vX_[3236] * vX_[741] + vX_[3121] * vX_[740];
+ vX_[3361] = vX_[3386] * vX_[357] + vX_[3350] * vX_[360];
+ vX_[3120] = vX_[3386] * vX_[359] + vX_[3350] * vX_[357];
+ vX_[3314] = 0 - vX_[3314];
+ vX_[3351] = 0 - vX_[3350];
+ vX_[3345] = vX_[3377] * vX_[383] + vX_[3122] * vX_[395] + vX_[3345] * vX_[397] + vX_[3236] * vX_[716] + vX_[3263] * vX_[740];
+ vX_[3112] = 0 - vX_[3345];
+ vX_[3258] = vX_[3377] * vX_[356] + vX_[3122] * vX_[383] + vX_[3258] * vX_[397] + vX_[3236] * vX_[717] + vX_[3265] * vX_[740];
+ vX_[3122] = 0 - vX_[3258];
+ vX_[3377] = (vX_[3314] * vX_[390] + vX_[3351] * vX_[378] + vX_[3112] * vX_[386] + vX_[3122] * vX_[368]) * 1 / vX_[380];
+ vX_[3314] = vX_[3116] * vX_[746] + vX_[3314] * vX_[391] + vX_[3377];
+ vX_[3380] = 0 - vX_[3380];
+ vX_[3262] = vX_[3337] * vX_[383] + vX_[3344] * vX_[395] + vX_[3262] * vX_[402] + vX_[3121] * vX_[716] + vX_[3263] * vX_[741];
+ vX_[3114] = 0 - vX_[3262];
+ vX_[3259] = vX_[3337] * vX_[356] + vX_[3344] * vX_[383] + vX_[3259] * vX_[402] + vX_[3121] * vX_[717] + vX_[3265] * vX_[741];
+ vX_[3344] = 0 - vX_[3259];
+ vX_[3337] = (vX_[3380] * vX_[378] + vX_[3114] * vX_[386] + vX_[3344] * vX_[368]) * 1 / vX_[380];
+ vX_[3380] = vX_[3252] * vX_[746] + vX_[3351] * vX_[391] + vX_[3380] * vX_[381] + vX_[3337];
+ vX_[3384] = vX_[3349] + vX_[3299] * vX_[397] + vX_[3384] * vX_[402] * 2. + vX_[3355] * vX_[717] - vX_[3380];
+ vX_[3255] = 0 - (vX_[3335] + vX_[3255] * vX_[402] + vX_[3354] * vX_[397] * 2. + vX_[3355] * vX_[716]) + vX_[3314];
+ vX_[3354] = vX_[3354] + vX_[3263] * vX_[716];
+ vX_[3260] = vX_[3260] + vX_[3265] * vX_[717];
+ vX_[3335] = vX_[3354] - vX_[3260];
+ vX_[3355] = 0 - vX_[3354];
+ vX_[3299] = vX_[3299] + vX_[3263] * vX_[717] + vX_[3265] * vX_[716];
+ vX_[3349] = 0 - vX_[3299];
+ vX_[3351] = (vX_[3355] * vX_[386] + vX_[3349] * vX_[368]) * 1 / vX_[380];
+ vX_[3355] = vX_[3264] * vX_[746] + vX_[3112] * vX_[391] + vX_[3114] * vX_[381] + vX_[3355] * vX_[425] + vX_[3351];
+ vX_[3114] = 0 - vX_[3260];
+ vX_[3112] = vX_[3114] * vX_[368] * 1 / vX_[380];
+ vX_[3114] = vX_[3266] * vX_[746] + vX_[3122] * vX_[391] + vX_[3344] * vX_[381] + vX_[3349] * vX_[425] + vX_[3114] * vX_[421] + vX_[3112];
+ vX_[3349] = 0 - vX_[3114];
+ vX_[3344] = vX_[3335] * vX_[357] + vX_[3299] * vX_[360];
+ vX_[3122] = vX_[3335] * vX_[359] + vX_[3299] * vX_[357];
+ vX_[3225] = vX_[3344] * vX_[359] + vX_[3122] * vX_[357];
+ vX_[3185] = vX_[3260] + vX_[3344] * vX_[357];
+ vX_[3202] = vX_[3260] + vX_[3122] * vX_[359];
+ vX_[3112] = vX_[3354] + vX_[3260] + 0 - vX_[3116] * vX_[837] - vX_[3252] * vX_[742] - vX_[3253] * vX_[745] + vX_[3253] * vX_[746] - vX_[3264] * vX_[733] - vX_[3266] * vX_[732] - vX_[3377] * vX_[391] - vX_[3337] * vX_[381] - vX_[3351] * vX_[425] - vX_[3112] * vX_[421] - vX_[3185] - vX_[3202];
+ vX_[3351] = 0 - vX_[3112];
+ vX_[3260] = vX_[3314] * vX_[357] + vX_[3380] * vX_[360];
+ vX_[3354] = vX_[3260] + vX_[3351] * vX_[365];
+ vX_[3337] = vX_[3314] * vX_[359] + vX_[3380] * vX_[357];
+ vX_[3377] = vX_[3337] + vX_[3112] * vX_[362];
+ vX_[3266] = 0 - vX_[3114];
+ vX_[3264] = 0 - vX_[3202];
+ jac[322] = 0 - (vX_[3236] * vX_[736] + vX_[3121] * vX_[748] + vX_[3263] * vX_[734] + vX_[3265] * vX_[124] + vX_[3386] * vX_[408] + vX_[3350] * vX_[407] + vX_[3361] * -0.466187537174287 + vX_[3120] * 0.00185880198235362 + vX_[3314] * vX_[372] + vX_[3380] * vX_[376] + vX_[3262] * vX_[385] + vX_[3258] * vX_[358] + vX_[3345] * vX_[384] + vX_[3259] * vX_[361] + (vX_[3262] * vX_[357] + vX_[3345] * vX_[359]) * -8.81e-05 + (vX_[3258] * vX_[357] + vX_[3259] * vX_[360]) * 8.81e-05 + vX_[3384] * vX_[375] + vX_[3255] * vX_[371] + vX_[3335] * vX_[419] + vX_[3355] * vX_[364] + vX_[3114] * vX_[367] + vX_[3299] * vX_[418] + vX_[3349] * vX_[366] + vX_[3355] * vX_[363] + vX_[3344] * vX_[415] + vX_[3122] * vX_[417] + (vX_[3225] * vX_[374] + vX_[3351] * vX_[369] + vX_[3185] * vX_[370] + (0 - vX_[3354]) * 0.414812462825713 + (0 - (vX_[3384] * vX_[359] + vX_[3255] * vX_[357]) + vX_[3260] + vX_[3185] * vX_[365]) * 0.881 + (0 - vX_[3377]) * 0.00185880198235362 + (0 - (vX_[3349] * vX_[357] + vX_[3355] * vX_[360] + (vX_[3355] * vX_[359] + vX_[3114] * vX_[357]) * 2.)) * 8.81e-05 + vX_[3225] * 0.0004405 + vX_[3185] * -0.2209548) * -0.35 + vX_[3359] * vX_[653] + vX_[3360] * vX_[649] + vX_[3391] * vX_[651] + vX_[3356] * vX_[626] + (vX_[3119] * vX_[736] + vX_[3359] * vX_[628]) * 0.35) * vX_[782] + (vX_[3236] * vX_[748] + vX_[3263] * vX_[124] + vX_[3386] * vX_[407] + vX_[3361] * 0.00185880198235362 + vX_[3120] * -7.4114911576828e-06 + vX_[3314] * vX_[376] + vX_[3258] * vX_[361] + vX_[3345] * vX_[385] + (vX_[3262] * vX_[360] + vX_[3345] * vX_[357]) * 8.81e-05 + vX_[3384] * vX_[371] + vX_[3335] * vX_[418] + vX_[3355] * vX_[367] + vX_[3266] * vX_[363] + vX_[3344] * vX_[417] + vX_[3122] * vX_[416] + vX_[3360] * vX_[653] + vX_[3356] * vX_[651] - (vX_[3121] * vX_[736] + vX_[3359] * vX_[649]) + (vX_[3119] * vX_[748] + vX_[3112] * vX_[373] + vX_[3264] * vX_[374] + vX_[3354] * 0.00185880198235362 + vX_[3377] * 0.880992588508842 + (0 - (vX_[3384] * vX_[357] + vX_[3255] * vX_[360] + vX_[3337] + vX_[3225] * vX_[365] + vX_[3264] * vX_[362])) * 0.881 + (0 - (vX_[3266] * vX_[359] + vX_[3355] * vX_[357]) + (vX_[3355] * vX_[357] + vX_[3114] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[3225]) * -0.1104774 + (0 - vX_[3202]) * 0.000881 + vX_[3360] * vX_[628]) * 0.35 - (vX_[3265] * vX_[734] + vX_[3350] * vX_[408] + vX_[3380] * vX_[372] + vX_[3262] * vX_[384] + vX_[3259] * vX_[358] + (vX_[3258] * vX_[359] + vX_[3259] * vX_[357]) * -8.81e-05 + vX_[3255] * vX_[375] + vX_[3114] * vX_[364] + vX_[3299] * vX_[419] + vX_[3355] * vX_[366] + vX_[3391] * vX_[626])) * vX_[768];
+ vX_[513] = vX_[3490] + vX_[3440] * vX_[383] + vX_[513] * vX_[397] + vX_[3390] * vX_[740];
+ vX_[445] = vX_[3490] + vX_[3392] * vX_[356] + vX_[445] * vX_[402] + vX_[3388] * vX_[741];
+ vX_[3490] = vX_[513] - vX_[445];
+ vX_[433] = vX_[3440] * vX_[356] + vX_[3392] * vX_[383] + vX_[710] * vX_[402] + vX_[433] * vX_[397] + vX_[3390] * vX_[741] + vX_[3388] * vX_[740];
+ vX_[710] = vX_[3490] * vX_[357] + vX_[433] * vX_[360];
+ vX_[3392] = vX_[3490] * vX_[359] + vX_[433] * vX_[357];
+ vX_[513] = 0 - vX_[513];
+ vX_[3440] = 0 - vX_[433];
+ vX_[721] = vX_[444] * vX_[383] + vX_[3277] * vX_[395] + vX_[721] * vX_[397] + vX_[3390] * vX_[716] + vX_[3414] * vX_[740];
+ vX_[3264] = 0 - vX_[721];
+ vX_[552] = vX_[444] * vX_[356] + vX_[3277] * vX_[383] + vX_[552] * vX_[397] + vX_[3390] * vX_[717] + vX_[3416] * vX_[740];
+ vX_[3277] = 0 - vX_[552];
+ vX_[390] = (vX_[513] * vX_[390] + vX_[3440] * vX_[378] + vX_[3264] * vX_[386] + vX_[3277] * vX_[368]) * 1 / vX_[380];
+ vX_[513] = vX_[3271] * vX_[746] + vX_[513] * vX_[391] + vX_[390];
+ vX_[445] = 0 - vX_[445];
+ vX_[720] = vX_[3487] * vX_[383] + vX_[355] * vX_[395] + vX_[720] * vX_[402] + vX_[3388] * vX_[716] + vX_[3414] * vX_[741];
+ vX_[395] = 0 - vX_[720];
+ vX_[705] = vX_[3487] * vX_[356] + vX_[355] * vX_[383] + vX_[705] * vX_[402] + vX_[3388] * vX_[717] + vX_[3416] * vX_[741];
+ vX_[355] = 0 - vX_[705];
+ vX_[378] = (vX_[445] * vX_[378] + vX_[395] * vX_[386] + vX_[355] * vX_[368]) * 1 / vX_[380];
+ vX_[445] = vX_[3268] * vX_[746] + vX_[3440] * vX_[391] + vX_[445] * vX_[381] + vX_[378];
+ vX_[522] = vX_[461] + vX_[699] * vX_[397] + vX_[522] * vX_[402] * 2. + vX_[521] * vX_[717] - vX_[445];
+ vX_[3413] = 0 - (vX_[3453] + vX_[3413] * vX_[402] + vX_[3467] * vX_[397] * 2. + vX_[521] * vX_[716]) + vX_[513];
+ vX_[3467] = vX_[3467] + vX_[3414] * vX_[716];
+ vX_[3411] = vX_[3411] + vX_[3416] * vX_[717];
+ vX_[3453] = vX_[3467] - vX_[3411];
+ vX_[521] = 0 - vX_[3467];
+ vX_[699] = vX_[699] + vX_[3414] * vX_[717] + vX_[3416] * vX_[716];
+ vX_[717] = 0 - vX_[699];
+ vX_[386] = (vX_[521] * vX_[386] + vX_[717] * vX_[368]) * 1 / vX_[380];
+ vX_[521] = vX_[3415] * vX_[746] + vX_[3264] * vX_[391] + vX_[395] * vX_[381] + vX_[521] * vX_[425] + vX_[386];
+ vX_[395] = 0 - vX_[3411];
+ vX_[380] = vX_[395] * vX_[368] * 1 / vX_[380];
+ vX_[395] = vX_[3417] * vX_[746] + vX_[3277] * vX_[391] + vX_[355] * vX_[381] + vX_[717] * vX_[425] + vX_[395] * vX_[421] + vX_[380];
+ vX_[717] = 0 - vX_[395];
+ vX_[355] = vX_[3453] * vX_[357] + vX_[699] * vX_[360];
+ vX_[3277] = vX_[3453] * vX_[359] + vX_[699] * vX_[357];
+ vX_[368] = vX_[355] * vX_[359] + vX_[3277] * vX_[357];
+ vX_[3264] = vX_[3411] + vX_[355] * vX_[357];
+ vX_[716] = vX_[3411] + vX_[3277] * vX_[359];
+ vX_[380] = vX_[3467] + vX_[3411] + 0 - vX_[3271] * vX_[837] - vX_[3268] * vX_[742] - vX_[3404] * vX_[745] + vX_[3404] * vX_[746] - vX_[3415] * vX_[733] - vX_[3417] * vX_[732] - vX_[390] * vX_[391] - vX_[378] * vX_[381] - vX_[386] * vX_[425] - vX_[380] * vX_[421] - vX_[3264] - vX_[716];
+ vX_[386] = 0 - vX_[380];
+ vX_[3411] = vX_[513] * vX_[357] + vX_[445] * vX_[360];
+ vX_[3467] = vX_[3411] + vX_[386] * vX_[365];
+ vX_[378] = vX_[513] * vX_[359] + vX_[445] * vX_[357];
+ vX_[390] = vX_[378] + vX_[380] * vX_[362];
+ vX_[3417] = 0 - vX_[395];
+ vX_[3415] = 0 - vX_[716];
+ jac[323] = 0 - (vX_[3390] * vX_[736] + vX_[3388] * vX_[748] + vX_[3414] * vX_[734] + vX_[3416] * vX_[124] + vX_[3490] * vX_[408] + vX_[433] * vX_[407] + vX_[710] * -0.466187537174287 + vX_[3392] * 0.00185880198235362 + vX_[513] * vX_[372] + vX_[445] * vX_[376] + vX_[720] * vX_[385] + vX_[552] * vX_[358] + vX_[721] * vX_[384] + vX_[705] * vX_[361] + (vX_[720] * vX_[357] + vX_[721] * vX_[359]) * -8.81e-05 + (vX_[552] * vX_[357] + vX_[705] * vX_[360]) * 8.81e-05 + vX_[522] * vX_[375] + vX_[3413] * vX_[371] + vX_[3453] * vX_[419] + vX_[521] * vX_[364] + vX_[395] * vX_[367] + vX_[699] * vX_[418] + vX_[717] * vX_[366] + vX_[521] * vX_[363] + vX_[355] * vX_[415] + vX_[3277] * vX_[417] + (vX_[368] * vX_[374] + vX_[386] * vX_[369] + vX_[3264] * vX_[370] + (0 - vX_[3467]) * 0.414812462825713 + (0 - (vX_[522] * vX_[359] + vX_[3413] * vX_[357]) + vX_[3411] + vX_[3264] * vX_[365]) * 0.881 + (0 - vX_[390]) * 0.00185880198235362 + (0 - (vX_[717] * vX_[357] + vX_[521] * vX_[360] + (vX_[521] * vX_[359] + vX_[395] * vX_[357]) * 2.)) * 8.81e-05 + vX_[368] * 0.0004405 + vX_[3264] * -0.2209548) * -0.35 + vX_[3470] * vX_[653] + vX_[3471] * vX_[649] + vX_[3495] * vX_[651] + vX_[517] * vX_[626] + (vX_[3273] * vX_[736] + vX_[3470] * vX_[628]) * 0.35) * vX_[782] + (vX_[3390] * vX_[748] + vX_[3414] * vX_[124] + vX_[3490] * vX_[407] + vX_[710] * 0.00185880198235362 + vX_[3392] * -7.4114911576828e-06 + vX_[513] * vX_[376] + vX_[552] * vX_[361] + vX_[721] * vX_[385] + (vX_[720] * vX_[360] + vX_[721] * vX_[357]) * 8.81e-05 + vX_[522] * vX_[371] + vX_[3453] * vX_[418] + vX_[521] * vX_[367] + vX_[3417] * vX_[363] + vX_[355] * vX_[417] + vX_[3277] * vX_[416] + vX_[3471] * vX_[653] + vX_[517] * vX_[651] - (vX_[3388] * vX_[736] + vX_[3470] * vX_[649]) + (vX_[3273] * vX_[748] + vX_[380] * vX_[373] + vX_[3415] * vX_[374] + vX_[3467] * 0.00185880198235362 + vX_[390] * 0.880992588508842 + (0 - (vX_[522] * vX_[357] + vX_[3413] * vX_[360] + vX_[378] + vX_[368] * vX_[365] + vX_[3415] * vX_[362])) * 0.881 + (0 - (vX_[3417] * vX_[359] + vX_[521] * vX_[357]) + (vX_[521] * vX_[357] + vX_[395] * vX_[360]) * 2.) * -8.81e-05 + (0 - vX_[368]) * -0.1104774 + (0 - vX_[716]) * 0.000881 + vX_[3471] * vX_[628]) * 0.35 - (vX_[3416] * vX_[734] + vX_[433] * vX_[408] + vX_[445] * vX_[372] + vX_[720] * vX_[384] + vX_[705] * vX_[358] + (vX_[552] * vX_[359] + vX_[705] * vX_[357]) * -8.81e-05 + vX_[3413] * vX_[375] + vX_[395] * vX_[364] + vX_[699] * vX_[419] + vX_[521] * vX_[366] + vX_[3495] * vX_[626])) * vX_[768];
+ vX_[3415] = vX_[964] - vX_[713];
+ vX_[3417] = vX_[701] + vX_[641];
+ vX_[390] = vX_[695] + vX_[830];
+ vX_[378] = 0 - vX_[390];
+ vX_[3467] = vX_[3415] * vX_[235];
+ vX_[3411] = vX_[3415] * vX_[316];
+ vX_[386] = vX_[632] + vX_[805];
+ vX_[380] = vX_[1039] + vX_[1045];
+ vX_[716] = vX_[600] + vX_[807];
+ vX_[3264] = vX_[687] + vX_[749];
+ vX_[368] = vX_[3264] * vX_[316] + vX_[716] * vX_[235];
+ vX_[3277] = vX_[3264] * vX_[329] + vX_[716] * vX_[316];
+ vX_[355] = vX_[1029] + vX_[1044];
+ vX_[717] = 0 - (vX_[506] + vX_[735]) + vX_[355];
+ vX_[395] = vX_[1037] - vX_[1036];
+ vX_[521] = vX_[625] + vX_[727];
+ vX_[699] = vX_[1051] + vX_[1047];
+ vX_[3453] = 0 - vX_[699];
+ vX_[3413] = vX_[395] * vX_[235];
+ vX_[522] = vX_[395] * vX_[316];
+ vX_[445] = vX_[646] + vX_[631] * 0.207;
+ vX_[705] = vX_[676] * vX_[956] + vX_[685] * vX_[316] + vX_[631] * vX_[954] + vX_[755] * vX_[955] + vX_[761] * vX_[236];
+ vX_[720] = vX_[631] * vX_[316] + vX_[755] * vX_[235];
+ vX_[513] = vX_[445] * vX_[967] + vX_[705] * vX_[237] + vX_[720] * vX_[968];
+ vX_[552] = vX_[445] * vX_[953] + vX_[705] * vX_[265] + vX_[720] * vX_[283];
+ vX_[721] = vX_[513] * 1 / vX_[262];
+ vX_[3392] = vX_[552] * 1 / vX_[262];
+ vX_[710] = vX_[720] * 1 / vX_[262];
+ vX_[433] = vX_[445] * 1 / vX_[313];
+ vX_[3490] = vX_[676] * vX_[316] + vX_[685] * vX_[235] + vX_[631] * vX_[330] + vX_[755] * vX_[328] + vX_[761] * vX_[935];
+ vX_[768] = vX_[3490] * 1 / vX_[313];
+ vX_[782] = vX_[705] * 1 / vX_[313];
+ vX_[517] = vX_[761] * 1 / vX_[313];
+ vX_[3495] = vX_[720] * 1 / vX_[313];
+ vX_[3471] = vX_[631] * vX_[329] + vX_[755] * vX_[316];
+ vX_[3470] = vX_[3471] * 1 / vX_[313];
+ vX_[3273] = vX_[761] - (vX_[433] * vX_[325] + vX_[768] * vX_[287] + vX_[782] * vX_[278] + vX_[517] * vX_[313] + vX_[3495] * vX_[338] + vX_[3470] * vX_[347]);
+ vX_[3416] = vX_[3273] * vX_[266] + vX_[3471] * vX_[238];
+ vX_[3414] = vX_[3416] * 1 / vX_[262];
+ vX_[3388] = vX_[3273] * vX_[238] + vX_[3471] * vX_[265];
+ vX_[3390] = vX_[3388] * 1 / vX_[262];
+ vX_[748] = vX_[720] - (vX_[721] * vX_[273] + vX_[3392] * vX_[260] + vX_[710] * vX_[262] + vX_[3414] * vX_[269] + vX_[3390] * vX_[250]);
+ vX_[736] = vX_[513] * vX_[241] + vX_[552] * vX_[239] + vX_[748] * vX_[244];
+ vX_[124] = vX_[513] * vX_[239] + vX_[552] * vX_[977] + vX_[748] * vX_[978];
+ vX_[734] = vX_[748] - (vX_[124] * 38.1956380581338 * 0.1104774 + vX_[736] * 38.1956380581338 * -0.0004405 + vX_[748] * 38.1956380581338 * 0.026181);
+ vX_[649] = vX_[3416] * vX_[239] + vX_[3388] * vX_[242];
+ vX_[651] = vX_[736] * 0.881 + (0 - vX_[734]) * 0.0004405 + vX_[649] * -8.81e-05;
+ vX_[653] = vX_[124] * -0.881;
+ vX_[628] = vX_[734] * 0.1104774;
+ vX_[626] = vX_[3416] * vX_[241] + vX_[3388] * vX_[239];
+ vX_[419] = vX_[626] * -8.81e-05;
+ vX_[418] = vX_[653] - vX_[628] + vX_[419];
+ vX_[417] = vX_[651] * vX_[975] + vX_[418] * vX_[972];
+ vX_[416] = vX_[552] * 3.146 + (0 - vX_[748]) * -0.0825825;
+ vX_[415] = vX_[513] * -3.146;
+ vX_[408] = vX_[748] * 0.47422804;
+ vX_[407] = vX_[415] - vX_[408];
+ vX_[385] = vX_[417] + vX_[416] * vX_[963] + vX_[407] * vX_[960];
+ vX_[384] = vX_[705] * 3.44 + vX_[720] * -0.5824264;
+ vX_[371] = 0 - vX_[384];
+ vX_[376] = vX_[445] * 3.44 + (0 - vX_[720]) * 0.1466472;
+ vX_[375] = vX_[445] * vX_[332] + vX_[3490] * vX_[315] + vX_[705] * vX_[324] + vX_[720] * vX_[503] + vX_[3471] * vX_[556];
+ vX_[374] = vX_[385] + vX_[371] * vX_[840] + vX_[376] * vX_[950] + vX_[375] * x_in[27];
+ vX_[373] = 0 - vX_[651];
+ vX_[419] = 0 - vX_[653] + vX_[628] - vX_[419];
+ vX_[628] = vX_[3490] + vX_[3273] * 0.08;
+ vX_[653] = vX_[628] + vX_[3416] * -0.35;
+ vX_[372] = vX_[653] * 0.0004405 + vX_[124] * -8.81e-05 + vX_[626] * -0.000227999999999999;
+ vX_[370] = vX_[653] * 0.1104774 + vX_[736] * -8.81e-05 + (0 - vX_[649]) * 0.025713;
+ vX_[369] = (0 - vX_[124]) * 0.0004405;
+ vX_[363] = (0 - vX_[736]) * 0.1104774;
+ vX_[367] = vX_[369] + vX_[363];
+ vX_[367] = vX_[373] * vX_[979] + vX_[419] * vX_[970] + vX_[372] * vX_[975] + vX_[370] * vX_[972] + vX_[367] * vX_[966] + vX_[367] * vX_[966];
+ vX_[366] = vX_[653] * 0.881 + (0 - vX_[649]) * 0.1104774 + vX_[626] * 0.0004405;
+ vX_[365] = vX_[124] * 0.00185880198235362 + vX_[736] * 0.880992588508842 + vX_[649] * -8.81e-05;
+ vX_[373] = vX_[373] * vX_[966] + vX_[366] * vX_[972] + vX_[365] * x_in[29];
+ vX_[364] = 0 - vX_[366];
+ vX_[362] = vX_[124] * 0.414812462825713 + vX_[736] * 0.00185880198235362 + vX_[626] * 8.81e-05;
+ vX_[419] = vX_[419] * vX_[966] + vX_[364] * vX_[975] - vX_[362] * x_in[29];
+ vX_[361] = 0 - vX_[416];
+ vX_[408] = 0 - vX_[415] + vX_[408];
+ vX_[415] = vX_[628] * -0.0825825 + (0 - vX_[748]) * 0.000102 + vX_[3416] * 0.007418 + vX_[3388] * 0.002735;
+ vX_[360] = vX_[628] * 0.47422804 + vX_[748] * 2.1e-05 + (0 - vX_[3416]) * 0.084376 + (0 - vX_[3388]) * 0.007418;
+ vX_[359] = (0 - vX_[513]) * -0.0825825;
+ vX_[358] = (0 - vX_[552]) * 0.47422804;
+ vX_[357] = vX_[3416] * 0.000102;
+ vX_[3404] = (0 - vX_[3388]) * 2.1e-05;
+ vX_[3268] = vX_[359] + vX_[358] + vX_[357] + vX_[3404];
+ vX_[3268] = vX_[367] + vX_[373] * vX_[978] + vX_[419] * vX_[244] + vX_[361] * vX_[969] + vX_[408] * vX_[958] + vX_[415] * vX_[963] + vX_[360] * vX_[960] + vX_[3268] * vX_[952] + vX_[3268] * vX_[952];
+ vX_[3271] = vX_[628] * 3.146 + (0 - vX_[3416]) * 0.47422804 + vX_[3388] * -0.0825825;
+ vX_[745] = vX_[513] * vX_[292] + vX_[552] * vX_[291] + vX_[3416] * vX_[270] + vX_[3388] * vX_[264];
+ vX_[361] = vX_[373] * vX_[239] + vX_[419] * vX_[241] + vX_[361] * vX_[952] + vX_[3271] * vX_[960] + vX_[745] * x_in[28];
+ vX_[742] = 0 - vX_[3271];
+ vX_[837] = vX_[513] * vX_[290] + vX_[552] * vX_[292] + vX_[3416] * vX_[276] + vX_[3388] * vX_[275];
+ vX_[408] = vX_[373] * vX_[977] + vX_[419] * vX_[239] + vX_[408] * vX_[952] + vX_[742] * vX_[963] - vX_[837] * x_in[28];
+ vX_[732] = 0 - vX_[376];
+ vX_[733] = vX_[3490] * -0.5824264 + (0 - vX_[3273]) * 0.022734 + vX_[720] * 3.6e-05 + vX_[3471] * -0.133138;
+ vX_[746] = vX_[3490] * 0.1466472 + vX_[3273] * 0.009466 + (0 - vX_[720]) * -5.1e-05 + vX_[3471] * 0.022734;
+ vX_[425] = (0 - vX_[445]) * -0.5824264;
+ vX_[421] = (0 - vX_[705]) * 0.1466472;
+ vX_[391] = (0 - vX_[3273]) * 3.6e-05;
+ vX_[381] = (0 - vX_[3471]) * -5.1e-05;
+ vX_[402] = vX_[425] + vX_[421] + vX_[391] - vX_[381];
+ vX_[397] = vX_[445] * vX_[348] + vX_[3490] * vX_[502] + vX_[705] * vX_[556] + vX_[720] * vX_[555] + vX_[3471] * vX_[312];
+ vX_[402] = vX_[3268] + vX_[361] * vX_[968] + vX_[408] * vX_[283] + vX_[384] * vX_[846] + vX_[732] * vX_[957] + vX_[733] * vX_[840] + vX_[746] * vX_[950] + vX_[402] * vX_[937] + vX_[402] * vX_[937] + vX_[397] * x_in[27];
+ vX_[461] = vX_[1019] - vX_[1036];
+ vX_[3440] = vX_[461] * vX_[316] + vX_[521] * vX_[235];
+ vX_[3487] = vX_[461] * vX_[329] + vX_[521] * vX_[316];
+ vX_[741] = vX_[3487] + vX_[3413];
+ vX_[444] = vX_[3440] * vX_[329] + vX_[741] * vX_[316] + vX_[522] * vX_[235];
+ vX_[740] = 0 - vX_[444];
+ vX_[3266] = vX_[1036] + vX_[3440] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[3377] = 0 - vX_[3266];
+ vX_[3337] = vX_[1036] + vX_[3487] * vX_[329] + vX_[522] * vX_[316];
+ vX_[3354] = vX_[538] + vX_[708] - vX_[380];
+ vX_[3260] = vX_[355] * vX_[316] + vX_[380] * vX_[235];
+ vX_[3351] = 0 - (vX_[3354] * vX_[329] + vX_[717] * vX_[316]) + vX_[3260];
+ vX_[3112] = vX_[3351] + vX_[3266] * vX_[317];
+ vX_[3202] = 0 - vX_[3112];
+ vX_[3185] = vX_[355] * vX_[329] + vX_[380] * vX_[316];
+ vX_[3225] = vX_[3354] * vX_[316] + vX_[717] * vX_[235] + vX_[3185];
+ vX_[3122] = 0 - vX_[3337];
+ vX_[3344] = vX_[3225] + vX_[444] * vX_[317] + vX_[3122] * vX_[236];
+ vX_[3349] = vX_[693] + vX_[806];
+ vX_[3114] = vX_[386] * vX_[316] + vX_[3349] * vX_[329];
+ vX_[3355] = vX_[3114] * vX_[316] + vX_[3277] * vX_[235];
+ vX_[3299] = vX_[754] + vX_[1027];
+ vX_[699] = 0 - vX_[699];
+ vX_[3335] = vX_[3299] * vX_[329] + vX_[699] * vX_[316];
+ vX_[3255] = 0 - vX_[3335];
+ vX_[3384] = vX_[3355] + vX_[3255] * vX_[236] + vX_[3377] * vX_[331];
+ vX_[3380] = 0 - vX_[3384];
+ vX_[3259] = vX_[386] * vX_[235] + vX_[3349] * vX_[316];
+ vX_[3262] = vX_[3259] * vX_[329] + vX_[368] * vX_[316];
+ vX_[3314] = vX_[3299] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[3258] = 0 - vX_[3314];
+ vX_[3345] = vX_[3262] + vX_[3258] * vX_[317] + vX_[3337] * vX_[331];
+ vX_[3120] = vX_[3259] * vX_[316] + vX_[368] * vX_[235];
+ vX_[3361] = vX_[3120] + vX_[3335] * vX_[317];
+ vX_[3350] = vX_[3114] * vX_[329] + vX_[3277] * vX_[316];
+ vX_[3386] = vX_[3350] + vX_[3314] * vX_[236] + vX_[740] * vX_[331];
+ vX_[3356] = 0 - vX_[3361] + vX_[3386];
+ vX_[3391] = 0 - vX_[444];
+ vX_[3360] = 0 - vX_[3266];
+ vX_[3377] = vX_[740] * vX_[559] + vX_[3377] * vX_[505] + vX_[3337] * vX_[295] + vX_[3202] * vX_[332] + vX_[3344] * vX_[343] + vX_[3380] * vX_[324] + vX_[3345] * vX_[318] + vX_[3356] * vX_[315] + vX_[444] * vX_[553] + vX_[3391] * vX_[556] + vX_[3360] * vX_[504] + vX_[3337] * vX_[508];
+ vX_[740] = vX_[3490] * -3.44;
+ vX_[3359] = vX_[3273] * 0.1466472;
+ vX_[3119] = vX_[3471] * -0.5824264;
+ vX_[3265] = 0 - vX_[740] + vX_[3359] - vX_[3119];
+ vX_[3263] = vX_[445] * vX_[343] + vX_[3490] * vX_[318] + vX_[705] * vX_[315] + vX_[720] * vX_[553] + vX_[3471] * vX_[502];
+ vX_[732] = vX_[361] * vX_[237] + vX_[408] * vX_[265] + vX_[3265] * vX_[840] + vX_[732] * vX_[937] - vX_[3263] * x_in[27];
+ vX_[3121] = vX_[1019] + vX_[1037] + vX_[1036] - vX_[3266] - vX_[3337];
+ vX_[3236] = 0 - vX_[3121];
+ vX_[3260] = vX_[3260] + vX_[3236] * vX_[317];
+ vX_[3185] = vX_[3185] + vX_[3121] * vX_[236];
+ vX_[3253] = 0 - vX_[3344];
+ vX_[3252] = 0 - vX_[3345];
+ vX_[3116] = vX_[1049] + vX_[1046] + vX_[3349] + vX_[716] - vX_[3120] - vX_[3350];
+ vX_[3386] = vX_[3116] - vX_[3386];
+ vX_[2977] = 0 - vX_[3335];
+ vX_[3199] = 0 - vX_[444];
+ vX_[2970] = 0 - vX_[3337];
+ vX_[3060] = vX_[698] - vX_[713];
+ vX_[3043] = vX_[647] + vX_[712];
+ vX_[3083] = vX_[3060] * vX_[316] + vX_[3417] * vX_[235];
+ vX_[3071] = vX_[3060] * vX_[329] + vX_[3417] * vX_[316];
+ vX_[734] = vX_[124] * 0.1104774 + vX_[736] * 0.0004405 + vX_[734] * 0.025941;
+ vX_[3192] = (0 - vX_[653]) * -8.81e-05;
+ vX_[363] = vX_[3192] + vX_[363];
+ vX_[626] = vX_[653] * 0.0004405 + vX_[124] * 8.81e-05 + vX_[626] * 0.000468;
+ vX_[363] = vX_[651] * vX_[973] + vX_[364] * vX_[970] + vX_[372] * vX_[966] + vX_[734] * vX_[972] + vX_[363] * vX_[975] + vX_[363] * vX_[975] + vX_[626] * x_in[29];
+ vX_[3192] = vX_[3192] + vX_[369];
+ vX_[653] = vX_[653] * -0.1104774 + vX_[736] * -8.81e-05 + vX_[649] * 0.026409;
+ jac[1062] = vX_[362] * vX_[984] + vX_[365] * vX_[979] + vX_[653] * vX_[992] + vX_[626] * vX_[975] + vX_[367];
+ vX_[653] = vX_[418] * vX_[973] + vX_[366] * vX_[979] + vX_[370] * vX_[966] + vX_[734] * vX_[975] + vX_[3192] * vX_[972] + vX_[3192] * vX_[972] - vX_[653] * x_in[29];
+ vX_[3192] = vX_[513] * 0.47422804 + vX_[552] * -0.0825825 + vX_[748] * 0.081641 + (0 - vX_[3416]) * 2.1e-05 + vX_[3388] * 0.000102;
+ vX_[734] = (0 - vX_[748]) * 0.007418;
+ vX_[3404] = vX_[358] + vX_[734] - vX_[3404];
+ vX_[358] = vX_[628] * vX_[259] + vX_[513] * vX_[275] + vX_[552] * vX_[264] + vX_[3416] * vX_[307] + vX_[3388] * vX_[303];
+ vX_[3404] = vX_[417] * -0.35 + vX_[363] * vX_[239] + vX_[653] * vX_[241] + vX_[416] * vX_[961] + vX_[742] * vX_[958] + vX_[415] * vX_[952] + vX_[3192] * vX_[960] + vX_[3404] * vX_[963] + vX_[3404] * vX_[963] + vX_[358] * x_in[28];
+ vX_[734] = vX_[359] - vX_[734] - vX_[357];
+ vX_[357] = vX_[628] * vX_[272] + vX_[513] * vX_[276] + vX_[552] * vX_[270] + vX_[3416] * vX_[301] + vX_[3388] * vX_[307];
+ jac[1026] = vX_[837] * vX_[1002] + vX_[745] * vX_[969] + vX_[357] * vX_[999] + vX_[358] * vX_[963] + vX_[3268];
+ vX_[357] = vX_[363] * vX_[242] + vX_[653] * vX_[239] + vX_[407] * vX_[961] + vX_[3271] * vX_[969] + vX_[360] * vX_[952] + vX_[3192] * vX_[963] + vX_[734] * vX_[960] + vX_[734] * vX_[960] - vX_[357] * x_in[28];
+ vX_[3119] = vX_[740] - vX_[3359] + vX_[3119];
+ vX_[3359] = vX_[445] * 0.1466472 + vX_[705] * -0.5824264 + vX_[3273] * -5.1e-05 + (0 - vX_[720]) * -0.123672 + (0 - vX_[3471]) * 3.6e-05;
+ vX_[740] = vX_[720] * 0.022734;
+ vX_[391] = vX_[425] - vX_[391] - vX_[740];
+ vX_[425] = vX_[445] * vX_[286] + vX_[3490] * vX_[553] + vX_[705] * vX_[503] + vX_[720] * vX_[501] + vX_[3471] * vX_[555];
+ vX_[391] = vX_[3404] * vX_[238] + vX_[357] * vX_[265] + vX_[3119] * vX_[846] + vX_[376] * vX_[934] + vX_[3359] * vX_[840] + vX_[746] * vX_[937] + vX_[391] * vX_[950] + vX_[391] * vX_[950] - vX_[425] * x_in[27];
+ vX_[746] = sin(x_in[9]);
+ vX_[390] = 0 - vX_[390];
+ vX_[376] = vX_[3071] + vX_[3467];
+ vX_[734] = 0 - vX_[3260];
+ vX_[3192] = 0 - vX_[3185];
+ vX_[3116] = 0 - vX_[3116] + vX_[3361];
+ vX_[3361] = 0 - vX_[3314];
+ vX_[3271] = cos(x_in[9]);
+ jac[342] = 0 - (vX_[685] * vX_[993] + vX_[755] * vX_[982] + vX_[3415] * vX_[673] + vX_[3417] * vX_[675] + vX_[378] * vX_[332] + vX_[3467] * vX_[233] + vX_[3411] * vX_[315] + vX_[386] * vX_[640] + vX_[380] * vX_[340] + vX_[716] * vX_[614] + vX_[368] * vX_[558] + vX_[3277] * vX_[616] + vX_[717] * vX_[349] + vX_[395] * vX_[563] + vX_[521] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[374] * x_in[22] + vX_[402] * x_in[19] + (vX_[631] * vX_[993] + vX_[3377] * vX_[329] + vX_[374] * x_in[20]) * 0.3735 - (vX_[676] * vX_[1017] + vX_[732] * x_in[23]) + (vX_[755] * vX_[1017] + vX_[732] * x_in[19]) * 0.3735 + (vX_[761] * vX_[1017] + vX_[3255] * vX_[505] + vX_[3314] * vX_[559] + vX_[3121] * vX_[342] + vX_[3122] * vX_[344] + vX_[3260] * vX_[315] + vX_[3185] * vX_[324] + vX_[3253] * vX_[327] + vX_[3252] * vX_[343] + vX_[3386] * vX_[332] + vX_[2977] * vX_[503] + vX_[3314] * vX_[556] + vX_[3199] * vX_[286] + vX_[2970] * vX_[510] + vX_[732] * x_in[18]) * 0.207 - (vX_[631] * vX_[987] + vX_[3060] * vX_[672] + vX_[3043] * vX_[652] + vX_[3083] * vX_[315] + vX_[3071] * vX_[123] + vX_[3264] * vX_[617] + vX_[355] * vX_[350] + vX_[3349] * vX_[639] + vX_[3259] * vX_[613] + vX_[3114] * vX_[615] + vX_[3354] * vX_[339] + vX_[461] * vX_[562] + vX_[3299] * vX_[592] + vX_[3440] * vX_[560] + vX_[3487] * vX_[511] + vX_[3377] * vX_[330] + vX_[391] * x_in[20])) * vX_[746] + (vX_[676] * vX_[993] + vX_[685] * vX_[1017] + vX_[631] * vX_[982] + vX_[755] * vX_[987] + vX_[3060] * vX_[675] + vX_[3415] * vX_[671] + vX_[3417] * vX_[672] + vX_[3043] * vX_[332] + vX_[390] * vX_[652] + vX_[3083] * vX_[233] + vX_[376] * vX_[315] + vX_[3411] * vX_[123] + vX_[386] * vX_[639] + vX_[3264] * vX_[614] + vX_[355] * vX_[340] + vX_[380] * vX_[350] + vX_[3349] * vX_[640] + vX_[716] * vX_[617] + vX_[3259] * vX_[558] + vX_[3114] * vX_[616] + vX_[368] * vX_[613] + vX_[3277] * vX_[615] + vX_[3354] * vX_[349] + vX_[717] * vX_[339] + vX_[461] * vX_[565] + vX_[395] * vX_[561] + vX_[521] * vX_[562] + vX_[3299] * vX_[593] + vX_[699] * vX_[592] + vX_[3440] * vX_[507] + vX_[741] * vX_[560] + vX_[522] * vX_[511] + vX_[3377] * vX_[328] + (vX_[3335] * vX_[557] + vX_[3258] * vX_[295] + vX_[444] * vX_[344] + vX_[3236] * vX_[319] + vX_[3266] * vX_[333] + vX_[734] * vX_[318] + vX_[3112] * vX_[327] + vX_[3192] * vX_[315] + vX_[3384] * vX_[332] + vX_[3116] * vX_[343] + vX_[3335] * vX_[553] + vX_[3361] * vX_[502] + vX_[444] * vX_[348] + vX_[3266] * vX_[499]) * 0.207 + vX_[374] * x_in[23] + vX_[732] * x_in[22] + vX_[402] * x_in[20] + vX_[391] * x_in[19] + (vX_[755] * vX_[993] + vX_[3377] * vX_[316] + vX_[374] * x_in[19]) * -0.3735 + (vX_[761] * vX_[993] + vX_[374] * x_in[18]) * -0.207 + (vX_[631] * vX_[1017] + vX_[732] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[3060] = vX_[1145] - vX_[1043];
+ vX_[3236] = vX_[804] + vX_[1140];
+ vX_[3121] = vX_[1068] + vX_[1147];
+ vX_[3377] = 0 - vX_[3121];
+ vX_[3258] = vX_[3060] * vX_[235];
+ vX_[3259] = vX_[3060] * vX_[316];
+ vX_[3255] = vX_[1101] + vX_[1143];
+ vX_[699] = vX_[1172] + vX_[1178];
+ vX_[3299] = vX_[1170] + vX_[1141];
+ vX_[3114] = vX_[1159] + vX_[1064];
+ vX_[3349] = vX_[3114] * vX_[316] + vX_[3299] * vX_[235];
+ vX_[3122] = vX_[3114] * vX_[329] + vX_[3299] * vX_[316];
+ vX_[3354] = vX_[1161] + vX_[1177];
+ vX_[741] = 0 - (vX_[1100] + vX_[1023]) + vX_[3354];
+ vX_[3487] = vX_[1169] - vX_[1168];
+ vX_[3440] = vX_[711] + vX_[1139];
+ vX_[461] = vX_[1185] + vX_[1180];
+ vX_[522] = 0 - vX_[461];
+ vX_[3413] = vX_[3487] * vX_[235];
+ vX_[3453] = vX_[3487] * vX_[316];
+ vX_[521] = vX_[758] + vX_[1063] * 0.207;
+ vX_[395] = vX_[1028] * vX_[956] + vX_[1096] * vX_[316] + vX_[1063] * vX_[954] + vX_[670] * vX_[955] + vX_[752] * vX_[236];
+ vX_[717] = vX_[1063] * vX_[316] + vX_[670] * vX_[235];
+ vX_[355] = vX_[521] * vX_[967] + vX_[395] * vX_[237] + vX_[717] * vX_[968];
+ vX_[3277] = vX_[521] * vX_[953] + vX_[395] * vX_[265] + vX_[717] * vX_[283];
+ vX_[368] = vX_[355] * 1 / vX_[262];
+ vX_[3264] = vX_[3277] * 1 / vX_[262];
+ vX_[716] = vX_[717] * 1 / vX_[262];
+ vX_[380] = vX_[521] * 1 / vX_[313];
+ vX_[386] = vX_[1028] * vX_[316] + vX_[1096] * vX_[235] + vX_[1063] * vX_[330] + vX_[670] * vX_[328] + vX_[752] * vX_[935];
+ vX_[3417] = vX_[386] * 1 / vX_[313];
+ vX_[3415] = vX_[395] * 1 / vX_[313];
+ vX_[360] = vX_[752] * 1 / vX_[313];
+ vX_[407] = vX_[717] * 1 / vX_[313];
+ vX_[358] = vX_[1063] * vX_[329] + vX_[670] * vX_[316];
+ vX_[837] = vX_[358] * 1 / vX_[313];
+ vX_[745] = vX_[752] - (vX_[380] * vX_[325] + vX_[3417] * vX_[287] + vX_[3415] * vX_[278] + vX_[360] * vX_[313] + vX_[407] * vX_[338] + vX_[837] * vX_[347]);
+ vX_[3268] = vX_[745] * vX_[266] + vX_[358] * vX_[238];
+ vX_[359] = vX_[3268] * 1 / vX_[262];
+ vX_[742] = vX_[745] * vX_[238] + vX_[358] * vX_[265];
+ vX_[415] = vX_[742] * 1 / vX_[262];
+ vX_[416] = vX_[717] - (vX_[368] * vX_[273] + vX_[3264] * vX_[260] + vX_[716] * vX_[262] + vX_[359] * vX_[269] + vX_[415] * vX_[250]);
+ vX_[417] = vX_[355] * vX_[241] + vX_[3277] * vX_[239] + vX_[416] * vX_[244];
+ vX_[366] = vX_[355] * vX_[239] + vX_[3277] * vX_[977] + vX_[416] * vX_[978];
+ vX_[370] = vX_[416] - (vX_[366] * 38.1956380581338 * 0.1104774 + vX_[417] * 38.1956380581338 * -0.0004405 + vX_[416] * 38.1956380581338 * 0.026181);
+ vX_[418] = vX_[3268] * vX_[239] + vX_[742] * vX_[242];
+ vX_[626] = vX_[417] * 0.881 + (0 - vX_[370]) * 0.0004405 + vX_[418] * -8.81e-05;
+ vX_[362] = vX_[366] * -0.881;
+ vX_[365] = vX_[370] * 0.1104774;
+ vX_[367] = vX_[3268] * vX_[241] + vX_[742] * vX_[239];
+ vX_[649] = vX_[367] * -8.81e-05;
+ vX_[736] = vX_[362] - vX_[365] + vX_[649];
+ vX_[369] = vX_[626] * vX_[975] + vX_[736] * vX_[972];
+ vX_[364] = vX_[3277] * 3.146 + (0 - vX_[416]) * -0.0825825;
+ vX_[372] = vX_[355] * -3.146;
+ vX_[651] = vX_[416] * 0.47422804;
+ vX_[124] = vX_[372] - vX_[651];
+ vX_[3197] = vX_[369] + vX_[364] * vX_[963] + vX_[124] * vX_[960];
+ vX_[2972] = vX_[395] * 3.44 + vX_[717] * -0.5824264;
+ vX_[3203] = 0 - vX_[2972];
+ vX_[3147] = vX_[521] * 3.44 + (0 - vX_[717]) * 0.1466472;
+ vX_[3183] = vX_[521] * vX_[332] + vX_[386] * vX_[315] + vX_[395] * vX_[324] + vX_[717] * vX_[503] + vX_[358] * vX_[556];
+ vX_[2976] = vX_[3197] + vX_[3203] * vX_[840] + vX_[3147] * vX_[950] + vX_[3183] * x_in[27];
+ vX_[3232] = 0 - vX_[626];
+ vX_[649] = 0 - vX_[362] + vX_[365] - vX_[649];
+ vX_[365] = vX_[386] + vX_[745] * 0.08;
+ vX_[362] = vX_[365] + vX_[3268] * -0.35;
+ vX_[3228] = vX_[362] * 0.0004405 + vX_[366] * -8.81e-05 + vX_[367] * -0.000227999999999999;
+ vX_[2979] = vX_[362] * 0.1104774 + vX_[417] * -8.81e-05 + (0 - vX_[418]) * 0.025713;
+ vX_[3110] = (0 - vX_[366]) * 0.0004405;
+ vX_[3162] = (0 - vX_[417]) * 0.1104774;
+ vX_[3094] = vX_[3110] + vX_[3162];
+ vX_[3094] = vX_[3232] * vX_[979] + vX_[649] * vX_[970] + vX_[3228] * vX_[975] + vX_[2979] * vX_[972] + vX_[3094] * vX_[966] + vX_[3094] * vX_[966];
+ vX_[3193] = vX_[362] * 0.881 + (0 - vX_[418]) * 0.1104774 + vX_[367] * 0.0004405;
+ vX_[3099] = vX_[366] * 0.00185880198235362 + vX_[417] * 0.880992588508842 + vX_[418] * -8.81e-05;
+ vX_[3232] = vX_[3232] * vX_[966] + vX_[3193] * vX_[972] + vX_[3099] * x_in[29];
+ vX_[3209] = 0 - vX_[3193];
+ vX_[3198] = vX_[366] * 0.414812462825713 + vX_[417] * 0.00185880198235362 + vX_[367] * 8.81e-05;
+ vX_[649] = vX_[649] * vX_[966] + vX_[3209] * vX_[975] - vX_[3198] * x_in[29];
+ vX_[3234] = 0 - vX_[364];
+ vX_[651] = 0 - vX_[372] + vX_[651];
+ vX_[372] = vX_[365] * -0.0825825 + (0 - vX_[416]) * 0.000102 + vX_[3268] * 0.007418 + vX_[742] * 0.002735;
+ vX_[3204] = vX_[365] * 0.47422804 + vX_[416] * 2.1e-05 + (0 - vX_[3268]) * 0.084376 + (0 - vX_[742]) * 0.007418;
+ vX_[3239] = (0 - vX_[355]) * -0.0825825;
+ vX_[3208] = (0 - vX_[3277]) * 0.47422804;
+ vX_[3207] = vX_[3268] * 0.000102;
+ vX_[2982] = (0 - vX_[742]) * 2.1e-05;
+ vX_[3113] = vX_[3239] + vX_[3208] + vX_[3207] + vX_[2982];
+ vX_[3113] = vX_[3094] + vX_[3232] * vX_[978] + vX_[649] * vX_[244] + vX_[3234] * vX_[969] + vX_[651] * vX_[958] + vX_[372] * vX_[963] + vX_[3204] * vX_[960] + vX_[3113] * vX_[952] + vX_[3113] * vX_[952];
+ vX_[3111] = vX_[365] * 3.146 + (0 - vX_[3268]) * 0.47422804 + vX_[742] * -0.0825825;
+ vX_[3063] = vX_[355] * vX_[292] + vX_[3277] * vX_[291] + vX_[3268] * vX_[270] + vX_[742] * vX_[264];
+ vX_[3234] = vX_[3232] * vX_[239] + vX_[649] * vX_[241] + vX_[3234] * vX_[952] + vX_[3111] * vX_[960] + vX_[3063] * x_in[28];
+ vX_[3095] = 0 - vX_[3111];
+ vX_[2978] = vX_[355] * vX_[290] + vX_[3277] * vX_[292] + vX_[3268] * vX_[276] + vX_[742] * vX_[275];
+ vX_[651] = vX_[3232] * vX_[977] + vX_[649] * vX_[239] + vX_[651] * vX_[952] + vX_[3095] * vX_[963] - vX_[2978] * x_in[28];
+ vX_[3098] = 0 - vX_[3147];
+ vX_[2980] = vX_[386] * -0.5824264 + (0 - vX_[745]) * 0.022734 + vX_[717] * 3.6e-05 + vX_[358] * -0.133138;
+ vX_[2966] = vX_[386] * 0.1466472 + vX_[745] * 0.009466 + (0 - vX_[717]) * -5.1e-05 + vX_[358] * 0.022734;
+ vX_[3057] = (0 - vX_[521]) * -0.5824264;
+ vX_[2820] = (0 - vX_[395]) * 0.1466472;
+ vX_[2910] = (0 - vX_[745]) * 3.6e-05;
+ vX_[2893] = (0 - vX_[358]) * -5.1e-05;
+ vX_[2933] = vX_[3057] + vX_[2820] + vX_[2910] - vX_[2893];
+ vX_[2913] = vX_[521] * vX_[348] + vX_[386] * vX_[502] + vX_[395] * vX_[556] + vX_[717] * vX_[555] + vX_[358] * vX_[312];
+ vX_[2933] = vX_[3113] + vX_[3234] * vX_[968] + vX_[651] * vX_[283] + vX_[2972] * vX_[846] + vX_[3098] * vX_[957] + vX_[2980] * vX_[840] + vX_[2966] * vX_[950] + vX_[2933] * vX_[937] + vX_[2933] * vX_[937] + vX_[2913] * x_in[27];
+ vX_[3050] = vX_[1150] - vX_[1168];
+ vX_[3055] = vX_[3050] * vX_[316] + vX_[3440] * vX_[235];
+ vX_[2822] = vX_[3050] * vX_[329] + vX_[3440] * vX_[316];
+ vX_[3061] = vX_[2822] + vX_[3413];
+ vX_[3005] = vX_[3055] * vX_[329] + vX_[3061] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[3041] = 0 - vX_[3005];
+ vX_[2961] = vX_[1168] + vX_[3055] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[3090] = 0 - vX_[2961];
+ vX_[3086] = vX_[1168] + vX_[2822] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[2965] = vX_[1181] + vX_[1065] - vX_[699];
+ vX_[2968] = vX_[3354] * vX_[316] + vX_[699] * vX_[235];
+ vX_[3020] = 0 - (vX_[2965] * vX_[329] + vX_[741] * vX_[316]) + vX_[2968];
+ vX_[2964] = vX_[3020] + vX_[2961] * vX_[317];
+ vX_[3051] = 0 - vX_[2964];
+ vX_[2830] = vX_[3354] * vX_[329] + vX_[699] * vX_[316];
+ vX_[3067] = vX_[2965] * vX_[316] + vX_[741] * vX_[235] + vX_[2830];
+ vX_[3056] = 0 - vX_[3086];
+ vX_[3092] = vX_[3067] + vX_[3005] * vX_[317] + vX_[3056] * vX_[236];
+ vX_[3062] = vX_[1056] + vX_[1142];
+ vX_[3097] = vX_[3255] * vX_[316] + vX_[3062] * vX_[329];
+ vX_[3066] = vX_[3097] * vX_[316] + vX_[3122] * vX_[235];
+ vX_[3065] = vX_[1040] + vX_[1158];
+ vX_[461] = 0 - vX_[461];
+ vX_[2944] = vX_[3065] * vX_[329] + vX_[461] * vX_[316];
+ vX_[2971] = 0 - vX_[2944];
+ vX_[2969] = vX_[3066] + vX_[2971] * vX_[236] + vX_[3090] * vX_[331];
+ vX_[2946] = 0 - vX_[2969];
+ vX_[2823] = vX_[3255] * vX_[235] + vX_[3062] * vX_[316];
+ vX_[2824] = vX_[2823] * vX_[329] + vX_[3349] * vX_[316];
+ vX_[2827] = vX_[3065] * vX_[316] + vX_[522] * vX_[235];
+ vX_[2829] = 0 - vX_[2827];
+ vX_[2816] = vX_[2824] + vX_[2829] * vX_[317] + vX_[3086] * vX_[331];
+ vX_[2907] = vX_[2823] * vX_[316] + vX_[3349] * vX_[235];
+ vX_[2670] = vX_[2907] + vX_[2944] * vX_[317];
+ vX_[2760] = vX_[3097] * vX_[329] + vX_[3122] * vX_[316];
+ vX_[2743] = vX_[2760] + vX_[2827] * vX_[236] + vX_[3041] * vX_[331];
+ vX_[2783] = 0 - vX_[2670] + vX_[2743];
+ vX_[2763] = 0 - vX_[3005];
+ vX_[2900] = 0 - vX_[2961];
+ vX_[3090] = vX_[3041] * vX_[559] + vX_[3090] * vX_[505] + vX_[3086] * vX_[295] + vX_[3051] * vX_[332] + vX_[3092] * vX_[343] + vX_[2946] * vX_[324] + vX_[2816] * vX_[318] + vX_[2783] * vX_[315] + vX_[3005] * vX_[553] + vX_[2763] * vX_[556] + vX_[2900] * vX_[504] + vX_[3086] * vX_[508];
+ vX_[3041] = vX_[386] * -3.44;
+ vX_[2905] = vX_[745] * 0.1466472;
+ vX_[2672] = vX_[358] * -0.5824264;
+ vX_[2911] = 0 - vX_[3041] + vX_[2905] - vX_[2672];
+ vX_[2855] = vX_[521] * vX_[343] + vX_[386] * vX_[318] + vX_[395] * vX_[315] + vX_[717] * vX_[553] + vX_[358] * vX_[502];
+ vX_[3098] = vX_[3234] * vX_[237] + vX_[651] * vX_[265] + vX_[2911] * vX_[840] + vX_[3098] * vX_[937] - vX_[2855] * x_in[27];
+ vX_[2891] = vX_[1150] + vX_[1169] + vX_[1168] - vX_[2961] - vX_[3086];
+ vX_[2811] = 0 - vX_[2891];
+ vX_[2968] = vX_[2968] + vX_[2811] * vX_[317];
+ vX_[2830] = vX_[2830] + vX_[2891] * vX_[236];
+ vX_[2940] = 0 - vX_[3092];
+ vX_[2936] = 0 - vX_[2816];
+ vX_[2815] = vX_[1183] + vX_[1179] + vX_[3062] + vX_[3299] - vX_[2907] - vX_[2760];
+ vX_[2743] = vX_[2815] - vX_[2743];
+ vX_[2818] = 0 - vX_[2944];
+ vX_[2870] = 0 - vX_[3005];
+ vX_[2814] = 0 - vX_[3086];
+ vX_[2901] = vX_[1138] - vX_[1043];
+ vX_[2680] = vX_[1097] + vX_[1148];
+ vX_[2917] = vX_[2901] * vX_[316] + vX_[3236] * vX_[235];
+ vX_[2906] = vX_[2901] * vX_[329] + vX_[3236] * vX_[316];
+ vX_[370] = vX_[366] * 0.1104774 + vX_[417] * 0.0004405 + vX_[370] * 0.025941;
+ vX_[2942] = (0 - vX_[362]) * -8.81e-05;
+ vX_[3162] = vX_[2942] + vX_[3162];
+ vX_[367] = vX_[362] * 0.0004405 + vX_[366] * 8.81e-05 + vX_[367] * 0.000468;
+ vX_[3162] = vX_[626] * vX_[973] + vX_[3209] * vX_[970] + vX_[3228] * vX_[966] + vX_[370] * vX_[972] + vX_[3162] * vX_[975] + vX_[3162] * vX_[975] + vX_[367] * x_in[29];
+ vX_[2942] = vX_[2942] + vX_[3110];
+ vX_[362] = vX_[362] * -0.1104774 + vX_[417] * -8.81e-05 + vX_[418] * 0.026409;
+ jac[1063] = vX_[3198] * vX_[984] + vX_[3099] * vX_[979] + vX_[362] * vX_[992] + vX_[367] * vX_[975] + vX_[3094];
+ vX_[362] = vX_[736] * vX_[973] + vX_[3193] * vX_[979] + vX_[2979] * vX_[966] + vX_[370] * vX_[975] + vX_[2942] * vX_[972] + vX_[2942] * vX_[972] - vX_[362] * x_in[29];
+ vX_[2942] = vX_[355] * 0.47422804 + vX_[3277] * -0.0825825 + vX_[416] * 0.081641 + (0 - vX_[3268]) * 2.1e-05 + vX_[742] * 0.000102;
+ vX_[370] = (0 - vX_[416]) * 0.007418;
+ vX_[2982] = vX_[3208] + vX_[370] - vX_[2982];
+ vX_[3208] = vX_[365] * vX_[259] + vX_[355] * vX_[275] + vX_[3277] * vX_[264] + vX_[3268] * vX_[307] + vX_[742] * vX_[303];
+ vX_[2982] = vX_[369] * -0.35 + vX_[3162] * vX_[239] + vX_[362] * vX_[241] + vX_[364] * vX_[961] + vX_[3095] * vX_[958] + vX_[372] * vX_[952] + vX_[2942] * vX_[960] + vX_[2982] * vX_[963] + vX_[2982] * vX_[963] + vX_[3208] * x_in[28];
+ vX_[370] = vX_[3239] - vX_[370] - vX_[3207];
+ vX_[3207] = vX_[365] * vX_[272] + vX_[355] * vX_[276] + vX_[3277] * vX_[270] + vX_[3268] * vX_[301] + vX_[742] * vX_[307];
+ jac[1027] = vX_[2978] * vX_[1002] + vX_[3063] * vX_[969] + vX_[3207] * vX_[999] + vX_[3208] * vX_[963] + vX_[3113];
+ vX_[3207] = vX_[3162] * vX_[242] + vX_[362] * vX_[239] + vX_[124] * vX_[961] + vX_[3111] * vX_[969] + vX_[3204] * vX_[952] + vX_[2942] * vX_[963] + vX_[370] * vX_[960] + vX_[370] * vX_[960] - vX_[3207] * x_in[28];
+ vX_[2672] = vX_[3041] - vX_[2905] + vX_[2672];
+ vX_[2905] = vX_[521] * 0.1466472 + vX_[395] * -0.5824264 + vX_[745] * -5.1e-05 + (0 - vX_[717]) * -0.123672 + (0 - vX_[358]) * 3.6e-05;
+ vX_[3041] = vX_[717] * 0.022734;
+ vX_[2910] = vX_[3057] - vX_[2910] - vX_[3041];
+ vX_[3057] = vX_[521] * vX_[286] + vX_[386] * vX_[553] + vX_[395] * vX_[503] + vX_[717] * vX_[501] + vX_[358] * vX_[555];
+ vX_[2910] = vX_[2982] * vX_[238] + vX_[3207] * vX_[265] + vX_[2672] * vX_[846] + vX_[3147] * vX_[934] + vX_[2905] * vX_[840] + vX_[2966] * vX_[937] + vX_[2910] * vX_[950] + vX_[2910] * vX_[950] - vX_[3057] * x_in[27];
+ vX_[3121] = 0 - vX_[3121];
+ vX_[2966] = vX_[2906] + vX_[3258];
+ vX_[3147] = 0 - vX_[2968];
+ vX_[370] = 0 - vX_[2830];
+ vX_[2815] = 0 - vX_[2815] + vX_[2670];
+ vX_[2670] = 0 - vX_[2827];
+ jac[343] = 0 - (vX_[1096] * vX_[993] + vX_[670] * vX_[982] + vX_[3060] * vX_[673] + vX_[3236] * vX_[675] + vX_[3377] * vX_[332] + vX_[3258] * vX_[233] + vX_[3259] * vX_[315] + vX_[3255] * vX_[640] + vX_[699] * vX_[340] + vX_[3299] * vX_[614] + vX_[3349] * vX_[558] + vX_[3122] * vX_[616] + vX_[741] * vX_[349] + vX_[3487] * vX_[563] + vX_[3440] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[2976] * x_in[22] + vX_[2933] * x_in[19] + (vX_[1063] * vX_[993] + vX_[3090] * vX_[329] + vX_[2976] * x_in[20]) * 0.3735 - (vX_[1028] * vX_[1017] + vX_[3098] * x_in[23]) + (vX_[670] * vX_[1017] + vX_[3098] * x_in[19]) * 0.3735 + (vX_[752] * vX_[1017] + vX_[2971] * vX_[505] + vX_[2827] * vX_[559] + vX_[2891] * vX_[342] + vX_[3056] * vX_[344] + vX_[2968] * vX_[315] + vX_[2830] * vX_[324] + vX_[2940] * vX_[327] + vX_[2936] * vX_[343] + vX_[2743] * vX_[332] + vX_[2818] * vX_[503] + vX_[2827] * vX_[556] + vX_[2870] * vX_[286] + vX_[2814] * vX_[510] + vX_[3098] * x_in[18]) * 0.207 - (vX_[1063] * vX_[987] + vX_[2901] * vX_[672] + vX_[2680] * vX_[652] + vX_[2917] * vX_[315] + vX_[2906] * vX_[123] + vX_[3114] * vX_[617] + vX_[3354] * vX_[350] + vX_[3062] * vX_[639] + vX_[2823] * vX_[613] + vX_[3097] * vX_[615] + vX_[2965] * vX_[339] + vX_[3050] * vX_[562] + vX_[3065] * vX_[592] + vX_[3055] * vX_[560] + vX_[2822] * vX_[511] + vX_[3090] * vX_[330] + vX_[2910] * x_in[20])) * vX_[746] + (vX_[1028] * vX_[993] + vX_[1096] * vX_[1017] + vX_[1063] * vX_[982] + vX_[670] * vX_[987] + vX_[2901] * vX_[675] + vX_[3060] * vX_[671] + vX_[3236] * vX_[672] + vX_[2680] * vX_[332] + vX_[3121] * vX_[652] + vX_[2917] * vX_[233] + vX_[2966] * vX_[315] + vX_[3259] * vX_[123] + vX_[3255] * vX_[639] + vX_[3114] * vX_[614] + vX_[3354] * vX_[340] + vX_[699] * vX_[350] + vX_[3062] * vX_[640] + vX_[3299] * vX_[617] + vX_[2823] * vX_[558] + vX_[3097] * vX_[616] + vX_[3349] * vX_[613] + vX_[3122] * vX_[615] + vX_[2965] * vX_[349] + vX_[741] * vX_[339] + vX_[3050] * vX_[565] + vX_[3487] * vX_[561] + vX_[3440] * vX_[562] + vX_[3065] * vX_[593] + vX_[461] * vX_[592] + vX_[3055] * vX_[507] + vX_[3061] * vX_[560] + vX_[3453] * vX_[511] + vX_[3090] * vX_[328] + (vX_[2944] * vX_[557] + vX_[2829] * vX_[295] + vX_[3005] * vX_[344] + vX_[2811] * vX_[319] + vX_[2961] * vX_[333] + vX_[3147] * vX_[318] + vX_[2964] * vX_[327] + vX_[370] * vX_[315] + vX_[2969] * vX_[332] + vX_[2815] * vX_[343] + vX_[2944] * vX_[553] + vX_[2670] * vX_[502] + vX_[3005] * vX_[348] + vX_[2961] * vX_[499]) * 0.207 + vX_[2976] * x_in[23] + vX_[3098] * x_in[22] + vX_[2933] * x_in[20] + vX_[2910] * x_in[19] + (vX_[670] * vX_[993] + vX_[3090] * vX_[316] + vX_[2976] * x_in[19]) * -0.3735 + (vX_[752] * vX_[993] + vX_[2976] * x_in[18]) * -0.207 + (vX_[1063] * vX_[1017] + vX_[3098] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[2901] = vX_[1274] - vX_[1144];
+ vX_[2811] = vX_[1230] + vX_[1268];
+ vX_[2891] = vX_[751] + vX_[1276];
+ vX_[3090] = 0 - vX_[2891];
+ vX_[2829] = vX_[2901] * vX_[235];
+ vX_[2823] = vX_[2901] * vX_[316];
+ vX_[2971] = vX_[1279] + vX_[1271];
+ vX_[461] = vX_[1303] + vX_[1309];
+ vX_[3065] = vX_[1301] + vX_[1269];
+ vX_[3097] = vX_[1290] + vX_[1176];
+ vX_[3062] = vX_[3097] * vX_[316] + vX_[3065] * vX_[235];
+ vX_[3056] = vX_[3097] * vX_[329] + vX_[3065] * vX_[316];
+ vX_[2965] = vX_[1292] + vX_[1308];
+ vX_[3061] = 0 - (vX_[1280] + vX_[1201]) + vX_[2965];
+ vX_[2822] = vX_[1300] - vX_[1299];
+ vX_[3055] = vX_[1171] + vX_[1267];
+ vX_[3050] = vX_[1316] + vX_[1311];
+ vX_[3453] = 0 - vX_[3050];
+ vX_[3413] = vX_[2822] * vX_[235];
+ vX_[522] = vX_[2822] * vX_[316];
+ vX_[3440] = vX_[1160] + vX_[1184] * 0.207;
+ vX_[3487] = vX_[1229] * vX_[956] + vX_[1233] * vX_[316] + vX_[1184] * vX_[954] + vX_[1193] * vX_[955] + vX_[1061] * vX_[236];
+ vX_[741] = vX_[1184] * vX_[316] + vX_[1193] * vX_[235];
+ vX_[3354] = vX_[3440] * vX_[967] + vX_[3487] * vX_[237] + vX_[741] * vX_[968];
+ vX_[3122] = vX_[3440] * vX_[953] + vX_[3487] * vX_[265] + vX_[741] * vX_[283];
+ vX_[3349] = vX_[3354] * 1 / vX_[262];
+ vX_[3114] = vX_[3122] * 1 / vX_[262];
+ vX_[3299] = vX_[741] * 1 / vX_[262];
+ vX_[699] = vX_[3440] * 1 / vX_[313];
+ vX_[3255] = vX_[1229] * vX_[316] + vX_[1233] * vX_[235] + vX_[1184] * vX_[330] + vX_[1193] * vX_[328] + vX_[1061] * vX_[935];
+ vX_[3236] = vX_[3255] * 1 / vX_[313];
+ vX_[3060] = vX_[3487] * 1 / vX_[313];
+ vX_[2942] = vX_[1061] * 1 / vX_[313];
+ vX_[3111] = vX_[741] * 1 / vX_[313];
+ vX_[3204] = vX_[1184] * vX_[329] + vX_[1193] * vX_[316];
+ vX_[124] = vX_[3204] * 1 / vX_[313];
+ vX_[3208] = vX_[1061] - (vX_[699] * vX_[325] + vX_[3236] * vX_[287] + vX_[3060] * vX_[278] + vX_[2942] * vX_[313] + vX_[3111] * vX_[338] + vX_[124] * vX_[347]);
+ vX_[2978] = vX_[3208] * vX_[266] + vX_[3204] * vX_[238];
+ vX_[3063] = vX_[2978] * 1 / vX_[262];
+ vX_[3113] = vX_[3208] * vX_[238] + vX_[3204] * vX_[265];
+ vX_[3239] = vX_[3113] * 1 / vX_[262];
+ vX_[3095] = vX_[741] - (vX_[3349] * vX_[273] + vX_[3114] * vX_[260] + vX_[3299] * vX_[262] + vX_[3063] * vX_[269] + vX_[3239] * vX_[250]);
+ vX_[372] = vX_[3354] * vX_[241] + vX_[3122] * vX_[239] + vX_[3095] * vX_[244];
+ vX_[364] = vX_[3354] * vX_[239] + vX_[3122] * vX_[977] + vX_[3095] * vX_[978];
+ vX_[369] = vX_[3095] - (vX_[364] * 38.1956380581338 * 0.1104774 + vX_[372] * 38.1956380581338 * -0.0004405 + vX_[3095] * 38.1956380581338 * 0.026181);
+ vX_[3193] = vX_[2978] * vX_[239] + vX_[3113] * vX_[242];
+ vX_[2979] = vX_[372] * 0.881 + (0 - vX_[369]) * 0.0004405 + vX_[3193] * -8.81e-05;
+ vX_[736] = vX_[364] * -0.881;
+ vX_[367] = vX_[369] * 0.1104774;
+ vX_[3198] = vX_[2978] * vX_[241] + vX_[3113] * vX_[239];
+ vX_[3099] = vX_[3198] * -8.81e-05;
+ vX_[3094] = vX_[736] - vX_[367] + vX_[3099];
+ vX_[418] = vX_[2979] * vX_[975] + vX_[3094] * vX_[972];
+ vX_[417] = vX_[3122] * 3.146 + (0 - vX_[3095]) * -0.0825825;
+ vX_[3110] = vX_[3354] * -3.146;
+ vX_[3209] = vX_[3095] * 0.47422804;
+ vX_[3228] = vX_[3110] - vX_[3209];
+ vX_[626] = vX_[418] + vX_[417] * vX_[963] + vX_[3228] * vX_[960];
+ vX_[366] = vX_[3487] * 3.44 + vX_[741] * -0.5824264;
+ vX_[2912] = 0 - vX_[366];
+ vX_[2947] = vX_[3440] * 3.44 + (0 - vX_[741]) * 0.1466472;
+ vX_[2916] = vX_[3440] * vX_[332] + vX_[3255] * vX_[315] + vX_[3487] * vX_[324] + vX_[741] * vX_[503] + vX_[3204] * vX_[556];
+ vX_[2915] = vX_[626] + vX_[2912] * vX_[840] + vX_[2947] * vX_[950] + vX_[2916] * x_in[27];
+ vX_[2794] = 0 - vX_[2979];
+ vX_[3099] = 0 - vX_[736] + vX_[367] - vX_[3099];
+ vX_[367] = vX_[3255] + vX_[3208] * 0.08;
+ vX_[736] = vX_[367] + vX_[2978] * -0.35;
+ vX_[2821] = vX_[736] * 0.0004405 + vX_[364] * -8.81e-05 + vX_[3198] * -0.000227999999999999;
+ vX_[2819] = vX_[736] * 0.1104774 + vX_[372] * -8.81e-05 + (0 - vX_[3193]) * 0.025713;
+ vX_[2796] = (0 - vX_[364]) * 0.0004405;
+ vX_[2673] = (0 - vX_[372]) * 0.1104774;
+ vX_[2674] = vX_[2796] + vX_[2673];
+ vX_[2674] = vX_[2794] * vX_[979] + vX_[3099] * vX_[970] + vX_[2821] * vX_[975] + vX_[2819] * vX_[972] + vX_[2674] * vX_[966] + vX_[2674] * vX_[966];
+ vX_[2677] = vX_[736] * 0.881 + (0 - vX_[3193]) * 0.1104774 + vX_[3198] * 0.0004405;
+ vX_[2679] = vX_[364] * 0.00185880198235362 + vX_[372] * 0.880992588508842 + vX_[3193] * -8.81e-05;
+ vX_[2794] = vX_[2794] * vX_[966] + vX_[2677] * vX_[972] + vX_[2679] * x_in[29];
+ vX_[2535] = 0 - vX_[2677];
+ vX_[2757] = vX_[364] * 0.414812462825713 + vX_[372] * 0.00185880198235362 + vX_[3198] * 8.81e-05;
+ vX_[3099] = vX_[3099] * vX_[966] + vX_[2535] * vX_[975] - vX_[2757] * x_in[29];
+ vX_[2528] = 0 - vX_[417];
+ vX_[3209] = 0 - vX_[3110] + vX_[3209];
+ vX_[3110] = vX_[367] * -0.0825825 + (0 - vX_[3095]) * 0.000102 + vX_[2978] * 0.007418 + vX_[3113] * 0.002735;
+ vX_[2618] = vX_[367] * 0.47422804 + vX_[3095] * 2.1e-05 + (0 - vX_[2978]) * 0.084376 + (0 - vX_[3113]) * 0.007418;
+ vX_[2601] = (0 - vX_[3354]) * -0.0825825;
+ vX_[2641] = (0 - vX_[3122]) * 0.47422804;
+ vX_[2629] = vX_[2978] * 0.000102;
+ vX_[2750] = (0 - vX_[3113]) * 2.1e-05;
+ vX_[2755] = vX_[2601] + vX_[2641] + vX_[2629] + vX_[2750];
+ vX_[2755] = vX_[2674] + vX_[2794] * vX_[978] + vX_[3099] * vX_[244] + vX_[2528] * vX_[969] + vX_[3209] * vX_[958] + vX_[3110] * vX_[963] + vX_[2618] * vX_[960] + vX_[2755] * vX_[952] + vX_[2755] * vX_[952];
+ vX_[2530] = vX_[367] * 3.146 + (0 - vX_[2978]) * 0.47422804 + vX_[3113] * -0.0825825;
+ vX_[2761] = vX_[3354] * vX_[292] + vX_[3122] * vX_[291] + vX_[2978] * vX_[270] + vX_[3113] * vX_[264];
+ vX_[2528] = vX_[2794] * vX_[239] + vX_[3099] * vX_[241] + vX_[2528] * vX_[952] + vX_[2530] * vX_[960] + vX_[2761] * x_in[28];
+ vX_[2705] = 0 - vX_[2530];
+ vX_[2741] = vX_[3354] * vX_[290] + vX_[3122] * vX_[292] + vX_[2978] * vX_[276] + vX_[3113] * vX_[275];
+ vX_[3209] = vX_[2794] * vX_[977] + vX_[3099] * vX_[239] + vX_[3209] * vX_[952] + vX_[2705] * vX_[963] - vX_[2741] * x_in[28];
+ vX_[2534] = 0 - vX_[2947];
+ vX_[2790] = vX_[3255] * -0.5824264 + (0 - vX_[3208]) * 0.022734 + vX_[741] * 3.6e-05 + vX_[3204] * -0.133138;
+ vX_[2786] = vX_[3255] * 0.1466472 + vX_[3208] * 0.009466 + (0 - vX_[741]) * -5.1e-05 + vX_[3204] * 0.022734;
+ vX_[2537] = (0 - vX_[3440]) * -0.5824264;
+ vX_[2668] = (0 - vX_[3487]) * 0.1466472;
+ vX_[2720] = (0 - vX_[3208]) * 3.6e-05;
+ vX_[2652] = (0 - vX_[3204]) * -5.1e-05;
+ vX_[2751] = vX_[2537] + vX_[2668] + vX_[2720] - vX_[2652];
+ vX_[2657] = vX_[3440] * vX_[348] + vX_[3255] * vX_[502] + vX_[3487] * vX_[556] + vX_[741] * vX_[555] + vX_[3204] * vX_[312];
+ vX_[2751] = vX_[2755] + vX_[2528] * vX_[968] + vX_[3209] * vX_[283] + vX_[366] * vX_[846] + vX_[2534] * vX_[957] + vX_[2790] * vX_[840] + vX_[2786] * vX_[950] + vX_[2751] * vX_[937] + vX_[2751] * vX_[937] + vX_[2657] * x_in[27];
+ vX_[2767] = vX_[1281] - vX_[1299];
+ vX_[2756] = vX_[2767] * vX_[316] + vX_[3055] * vX_[235];
+ vX_[2792] = vX_[2767] * vX_[329] + vX_[3055] * vX_[316];
+ vX_[2762] = vX_[2792] + vX_[3413];
+ vX_[2797] = vX_[2756] * vX_[329] + vX_[2762] * vX_[316] + vX_[522] * vX_[235];
+ vX_[2766] = 0 - vX_[2797];
+ vX_[2765] = vX_[1299] + vX_[2756] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[2540] = 0 - vX_[2765];
+ vX_[2671] = vX_[1299] + vX_[2792] * vX_[329] + vX_[522] * vX_[316];
+ vX_[2669] = vX_[1312] + vX_[1154] - vX_[461];
+ vX_[2621] = vX_[2965] * vX_[316] + vX_[461] * vX_[235];
+ vX_[2653] = 0 - (vX_[2669] * vX_[329] + vX_[3061] * vX_[316]) + vX_[2621];
+ vX_[2536] = vX_[2653] + vX_[2765] * vX_[317];
+ vX_[2656] = 0 - vX_[2536];
+ vX_[2538] = vX_[2965] * vX_[329] + vX_[461] * vX_[316];
+ vX_[2524] = vX_[2669] * vX_[316] + vX_[3061] * vX_[235] + vX_[2538];
+ vX_[2615] = 0 - vX_[2671];
+ vX_[2376] = vX_[2524] + vX_[2797] * vX_[317] + vX_[2615] * vX_[236];
+ vX_[2466] = vX_[1273] + vX_[1270];
+ vX_[2449] = vX_[2971] * vX_[316] + vX_[2466] * vX_[329];
+ vX_[2489] = vX_[2449] * vX_[316] + vX_[3056] * vX_[235];
+ vX_[2386] = vX_[1194] + vX_[1289];
+ vX_[3050] = 0 - vX_[3050];
+ vX_[2608] = vX_[2386] * vX_[329] + vX_[3050] * vX_[316];
+ vX_[2613] = 0 - vX_[2608];
+ vX_[2378] = vX_[2489] + vX_[2613] * vX_[236] + vX_[2540] * vX_[331];
+ vX_[2619] = 0 - vX_[2378];
+ vX_[2563] = vX_[2971] * vX_[235] + vX_[2466] * vX_[316];
+ vX_[2599] = vX_[2563] * vX_[329] + vX_[3062] * vX_[316];
+ vX_[2519] = vX_[2386] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[2648] = 0 - vX_[2519];
+ vX_[2644] = vX_[2599] + vX_[2648] * vX_[317] + vX_[2671] * vX_[331];
+ vX_[2523] = vX_[2563] * vX_[316] + vX_[3062] * vX_[235];
+ vX_[2526] = vX_[2523] + vX_[2608] * vX_[317];
+ vX_[2578] = vX_[2449] * vX_[329] + vX_[3056] * vX_[316];
+ vX_[2522] = vX_[2578] + vX_[2519] * vX_[236] + vX_[2766] * vX_[331];
+ vX_[2609] = 0 - vX_[2526] + vX_[2522];
+ vX_[2384] = 0 - vX_[2797];
+ vX_[2625] = 0 - vX_[2765];
+ vX_[2540] = vX_[2766] * vX_[559] + vX_[2540] * vX_[505] + vX_[2671] * vX_[295] + vX_[2656] * vX_[332] + vX_[2376] * vX_[343] + vX_[2619] * vX_[324] + vX_[2644] * vX_[318] + vX_[2609] * vX_[315] + vX_[2797] * vX_[553] + vX_[2384] * vX_[556] + vX_[2625] * vX_[504] + vX_[2671] * vX_[508];
+ vX_[2766] = vX_[3255] * -3.44;
+ vX_[2614] = vX_[3208] * 0.1466472;
+ vX_[2650] = vX_[3204] * -0.5824264;
+ vX_[2620] = 0 - vX_[2766] + vX_[2614] - vX_[2650];
+ vX_[2655] = vX_[3440] * vX_[343] + vX_[3255] * vX_[318] + vX_[3487] * vX_[315] + vX_[741] * vX_[553] + vX_[3204] * vX_[502];
+ vX_[2534] = vX_[2528] * vX_[237] + vX_[3209] * vX_[265] + vX_[2620] * vX_[840] + vX_[2534] * vX_[937] - vX_[2655] * x_in[27];
+ vX_[2624] = vX_[1281] + vX_[1300] + vX_[1299] - vX_[2765] - vX_[2671];
+ vX_[2623] = 0 - vX_[2624];
+ vX_[2621] = vX_[2621] + vX_[2623] * vX_[317];
+ vX_[2538] = vX_[2538] + vX_[2624] * vX_[236];
+ vX_[2383] = 0 - vX_[2376];
+ vX_[2529] = 0 - vX_[2644];
+ vX_[2527] = vX_[1314] + vX_[1310] + vX_[2466] + vX_[3065] - vX_[2523] - vX_[2578];
+ vX_[2522] = vX_[2527] - vX_[2522];
+ vX_[2385] = 0 - vX_[2608];
+ vX_[2500] = 0 - vX_[2797];
+ vX_[2517] = 0 - vX_[2671];
+ vX_[2516] = vX_[1266] - vX_[1144];
+ vX_[2380] = vX_[1234] + vX_[1277];
+ vX_[2372] = vX_[2516] * vX_[316] + vX_[2811] * vX_[235];
+ vX_[2463] = vX_[2516] * vX_[329] + vX_[2811] * vX_[316];
+ vX_[369] = vX_[364] * 0.1104774 + vX_[372] * 0.0004405 + vX_[369] * 0.025941;
+ vX_[2093] = (0 - vX_[736]) * -8.81e-05;
+ vX_[2673] = vX_[2093] + vX_[2673];
+ vX_[3198] = vX_[736] * 0.0004405 + vX_[364] * 8.81e-05 + vX_[3198] * 0.000468;
+ vX_[2673] = vX_[2979] * vX_[973] + vX_[2535] * vX_[970] + vX_[2821] * vX_[966] + vX_[369] * vX_[972] + vX_[2673] * vX_[975] + vX_[2673] * vX_[975] + vX_[3198] * x_in[29];
+ vX_[2093] = vX_[2093] + vX_[2796];
+ vX_[736] = vX_[736] * -0.1104774 + vX_[372] * -8.81e-05 + vX_[3193] * 0.026409;
+ jac[1064] = vX_[2757] * vX_[984] + vX_[2679] * vX_[979] + vX_[736] * vX_[992] + vX_[3198] * vX_[975] + vX_[2674];
+ vX_[736] = vX_[3094] * vX_[973] + vX_[2677] * vX_[979] + vX_[2819] * vX_[966] + vX_[369] * vX_[975] + vX_[2093] * vX_[972] + vX_[2093] * vX_[972] - vX_[736] * x_in[29];
+ vX_[2093] = vX_[3354] * 0.47422804 + vX_[3122] * -0.0825825 + vX_[3095] * 0.081641 + (0 - vX_[2978]) * 2.1e-05 + vX_[3113] * 0.000102;
+ vX_[369] = (0 - vX_[3095]) * 0.007418;
+ vX_[2750] = vX_[2641] + vX_[369] - vX_[2750];
+ vX_[2641] = vX_[367] * vX_[259] + vX_[3354] * vX_[275] + vX_[3122] * vX_[264] + vX_[2978] * vX_[307] + vX_[3113] * vX_[303];
+ vX_[2750] = vX_[418] * -0.35 + vX_[2673] * vX_[239] + vX_[736] * vX_[241] + vX_[417] * vX_[961] + vX_[2705] * vX_[958] + vX_[3110] * vX_[952] + vX_[2093] * vX_[960] + vX_[2750] * vX_[963] + vX_[2750] * vX_[963] + vX_[2641] * x_in[28];
+ vX_[369] = vX_[2601] - vX_[369] - vX_[2629];
+ vX_[2629] = vX_[367] * vX_[272] + vX_[3354] * vX_[276] + vX_[3122] * vX_[270] + vX_[2978] * vX_[301] + vX_[3113] * vX_[307];
+ jac[1028] = vX_[2741] * vX_[1002] + vX_[2761] * vX_[969] + vX_[2629] * vX_[999] + vX_[2641] * vX_[963] + vX_[2755];
+ vX_[2629] = vX_[2673] * vX_[242] + vX_[736] * vX_[239] + vX_[3228] * vX_[961] + vX_[2530] * vX_[969] + vX_[2618] * vX_[952] + vX_[2093] * vX_[963] + vX_[369] * vX_[960] + vX_[369] * vX_[960] - vX_[2629] * x_in[28];
+ vX_[2650] = vX_[2766] - vX_[2614] + vX_[2650];
+ vX_[2614] = vX_[3440] * 0.1466472 + vX_[3487] * -0.5824264 + vX_[3208] * -5.1e-05 + (0 - vX_[741]) * -0.123672 + (0 - vX_[3204]) * 3.6e-05;
+ vX_[2766] = vX_[741] * 0.022734;
+ vX_[2720] = vX_[2537] - vX_[2720] - vX_[2766];
+ vX_[2537] = vX_[3440] * vX_[286] + vX_[3255] * vX_[553] + vX_[3487] * vX_[503] + vX_[741] * vX_[501] + vX_[3204] * vX_[555];
+ vX_[2720] = vX_[2750] * vX_[238] + vX_[2629] * vX_[265] + vX_[2650] * vX_[846] + vX_[2947] * vX_[934] + vX_[2614] * vX_[840] + vX_[2786] * vX_[937] + vX_[2720] * vX_[950] + vX_[2720] * vX_[950] - vX_[2537] * x_in[27];
+ vX_[2891] = 0 - vX_[2891];
+ vX_[2786] = vX_[2463] + vX_[2829];
+ vX_[2947] = 0 - vX_[2621];
+ vX_[369] = 0 - vX_[2538];
+ vX_[2527] = 0 - vX_[2527] + vX_[2526];
+ vX_[2526] = 0 - vX_[2519];
+ jac[344] = 0 - (vX_[1233] * vX_[993] + vX_[1193] * vX_[982] + vX_[2901] * vX_[673] + vX_[2811] * vX_[675] + vX_[3090] * vX_[332] + vX_[2829] * vX_[233] + vX_[2823] * vX_[315] + vX_[2971] * vX_[640] + vX_[461] * vX_[340] + vX_[3065] * vX_[614] + vX_[3062] * vX_[558] + vX_[3056] * vX_[616] + vX_[3061] * vX_[349] + vX_[2822] * vX_[563] + vX_[3055] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[2915] * x_in[22] + vX_[2751] * x_in[19] + (vX_[1184] * vX_[993] + vX_[2540] * vX_[329] + vX_[2915] * x_in[20]) * 0.3735 - (vX_[1229] * vX_[1017] + vX_[2534] * x_in[23]) + (vX_[1193] * vX_[1017] + vX_[2534] * x_in[19]) * 0.3735 + (vX_[1061] * vX_[1017] + vX_[2613] * vX_[505] + vX_[2519] * vX_[559] + vX_[2624] * vX_[342] + vX_[2615] * vX_[344] + vX_[2621] * vX_[315] + vX_[2538] * vX_[324] + vX_[2383] * vX_[327] + vX_[2529] * vX_[343] + vX_[2522] * vX_[332] + vX_[2385] * vX_[503] + vX_[2519] * vX_[556] + vX_[2500] * vX_[286] + vX_[2517] * vX_[510] + vX_[2534] * x_in[18]) * 0.207 - (vX_[1184] * vX_[987] + vX_[2516] * vX_[672] + vX_[2380] * vX_[652] + vX_[2372] * vX_[315] + vX_[2463] * vX_[123] + vX_[3097] * vX_[617] + vX_[2965] * vX_[350] + vX_[2466] * vX_[639] + vX_[2563] * vX_[613] + vX_[2449] * vX_[615] + vX_[2669] * vX_[339] + vX_[2767] * vX_[562] + vX_[2386] * vX_[592] + vX_[2756] * vX_[560] + vX_[2792] * vX_[511] + vX_[2540] * vX_[330] + vX_[2720] * x_in[20])) * vX_[746] + (vX_[1229] * vX_[993] + vX_[1233] * vX_[1017] + vX_[1184] * vX_[982] + vX_[1193] * vX_[987] + vX_[2516] * vX_[675] + vX_[2901] * vX_[671] + vX_[2811] * vX_[672] + vX_[2380] * vX_[332] + vX_[2891] * vX_[652] + vX_[2372] * vX_[233] + vX_[2786] * vX_[315] + vX_[2823] * vX_[123] + vX_[2971] * vX_[639] + vX_[3097] * vX_[614] + vX_[2965] * vX_[340] + vX_[461] * vX_[350] + vX_[2466] * vX_[640] + vX_[3065] * vX_[617] + vX_[2563] * vX_[558] + vX_[2449] * vX_[616] + vX_[3062] * vX_[613] + vX_[3056] * vX_[615] + vX_[2669] * vX_[349] + vX_[3061] * vX_[339] + vX_[2767] * vX_[565] + vX_[2822] * vX_[561] + vX_[3055] * vX_[562] + vX_[2386] * vX_[593] + vX_[3050] * vX_[592] + vX_[2756] * vX_[507] + vX_[2762] * vX_[560] + vX_[522] * vX_[511] + vX_[2540] * vX_[328] + (vX_[2608] * vX_[557] + vX_[2648] * vX_[295] + vX_[2797] * vX_[344] + vX_[2623] * vX_[319] + vX_[2765] * vX_[333] + vX_[2947] * vX_[318] + vX_[2536] * vX_[327] + vX_[369] * vX_[315] + vX_[2378] * vX_[332] + vX_[2527] * vX_[343] + vX_[2608] * vX_[553] + vX_[2526] * vX_[502] + vX_[2797] * vX_[348] + vX_[2765] * vX_[499]) * 0.207 + vX_[2915] * x_in[23] + vX_[2534] * x_in[22] + vX_[2751] * x_in[20] + vX_[2720] * x_in[19] + (vX_[1193] * vX_[993] + vX_[2540] * vX_[316] + vX_[2915] * x_in[19]) * -0.3735 + (vX_[1061] * vX_[993] + vX_[2915] * x_in[18]) * -0.207 + (vX_[1184] * vX_[1017] + vX_[2534] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[2516] = vX_[1404] - vX_[1320];
+ vX_[2623] = vX_[1365] + vX_[1397];
+ vX_[2624] = vX_[1401] + vX_[1406];
+ vX_[2540] = 0 - vX_[2624];
+ vX_[2648] = vX_[2516] * vX_[235];
+ vX_[2563] = vX_[2516] * vX_[316];
+ vX_[2613] = vX_[1410] + vX_[1400];
+ vX_[3050] = vX_[1434] + vX_[1440];
+ vX_[2386] = vX_[1432] + vX_[1398];
+ vX_[2449] = vX_[1421] + vX_[1302];
+ vX_[2466] = vX_[2449] * vX_[316] + vX_[2386] * vX_[235];
+ vX_[2615] = vX_[2449] * vX_[329] + vX_[2386] * vX_[316];
+ vX_[2669] = vX_[1423] + vX_[1439];
+ vX_[2762] = 0 - (vX_[1411] + vX_[1360]) + vX_[2669];
+ vX_[2792] = vX_[1431] - vX_[1430];
+ vX_[2756] = vX_[1272] + vX_[1396];
+ vX_[2767] = vX_[1447] + vX_[1442];
+ vX_[522] = 0 - vX_[2767];
+ vX_[3413] = vX_[2792] * vX_[235];
+ vX_[3453] = vX_[2792] * vX_[316];
+ vX_[3055] = vX_[1332] + vX_[1285] * 0.207;
+ vX_[2822] = vX_[1364] * vX_[956] + vX_[1361] * vX_[316] + vX_[1285] * vX_[954] + vX_[1326] * vX_[955] + vX_[1305] * vX_[236];
+ vX_[3061] = vX_[1285] * vX_[316] + vX_[1326] * vX_[235];
+ vX_[2965] = vX_[3055] * vX_[967] + vX_[2822] * vX_[237] + vX_[3061] * vX_[968];
+ vX_[3056] = vX_[3055] * vX_[953] + vX_[2822] * vX_[265] + vX_[3061] * vX_[283];
+ vX_[3062] = vX_[2965] * 1 / vX_[262];
+ vX_[3097] = vX_[3056] * 1 / vX_[262];
+ vX_[3065] = vX_[3061] * 1 / vX_[262];
+ vX_[461] = vX_[3055] * 1 / vX_[313];
+ vX_[2971] = vX_[1364] * vX_[316] + vX_[1361] * vX_[235] + vX_[1285] * vX_[330] + vX_[1326] * vX_[328] + vX_[1305] * vX_[935];
+ vX_[2811] = vX_[2971] * 1 / vX_[313];
+ vX_[2901] = vX_[2822] * 1 / vX_[313];
+ vX_[2093] = vX_[1305] * 1 / vX_[313];
+ vX_[2530] = vX_[3061] * 1 / vX_[313];
+ vX_[2618] = vX_[1285] * vX_[329] + vX_[1326] * vX_[316];
+ vX_[3228] = vX_[2618] * 1 / vX_[313];
+ vX_[2641] = vX_[1305] - (vX_[461] * vX_[325] + vX_[2811] * vX_[287] + vX_[2901] * vX_[278] + vX_[2093] * vX_[313] + vX_[2530] * vX_[338] + vX_[3228] * vX_[347]);
+ vX_[2741] = vX_[2641] * vX_[266] + vX_[2618] * vX_[238];
+ vX_[2761] = vX_[2741] * 1 / vX_[262];
+ vX_[2755] = vX_[2641] * vX_[238] + vX_[2618] * vX_[265];
+ vX_[2601] = vX_[2755] * 1 / vX_[262];
+ vX_[2705] = vX_[3061] - (vX_[3062] * vX_[273] + vX_[3097] * vX_[260] + vX_[3065] * vX_[262] + vX_[2761] * vX_[269] + vX_[2601] * vX_[250]);
+ vX_[3110] = vX_[2965] * vX_[241] + vX_[3056] * vX_[239] + vX_[2705] * vX_[244];
+ vX_[417] = vX_[2965] * vX_[239] + vX_[3056] * vX_[977] + vX_[2705] * vX_[978];
+ vX_[418] = vX_[2705] - (vX_[417] * 38.1956380581338 * 0.1104774 + vX_[3110] * 38.1956380581338 * -0.0004405 + vX_[2705] * 38.1956380581338 * 0.026181);
+ vX_[2677] = vX_[2741] * vX_[239] + vX_[2755] * vX_[242];
+ vX_[2819] = vX_[3110] * 0.881 + (0 - vX_[418]) * 0.0004405 + vX_[2677] * -8.81e-05;
+ vX_[3094] = vX_[417] * -0.881;
+ vX_[3198] = vX_[418] * 0.1104774;
+ vX_[2757] = vX_[2741] * vX_[241] + vX_[2755] * vX_[239];
+ vX_[2679] = vX_[2757] * -8.81e-05;
+ vX_[2674] = vX_[3094] - vX_[3198] + vX_[2679];
+ vX_[3193] = vX_[2819] * vX_[975] + vX_[2674] * vX_[972];
+ vX_[372] = vX_[3056] * 3.146 + (0 - vX_[2705]) * -0.0825825;
+ vX_[2796] = vX_[2965] * -3.146;
+ vX_[2535] = vX_[2705] * 0.47422804;
+ vX_[2821] = vX_[2796] - vX_[2535];
+ vX_[2979] = vX_[3193] + vX_[372] * vX_[963] + vX_[2821] * vX_[960];
+ vX_[364] = vX_[2822] * 3.44 + vX_[3061] * -0.5824264;
+ vX_[2314] = 0 - vX_[364];
+ vX_[2297] = vX_[3055] * 3.44 + (0 - vX_[3061]) * 0.1466472;
+ vX_[2337] = vX_[3055] * vX_[332] + vX_[2971] * vX_[315] + vX_[2822] * vX_[324] + vX_[3061] * vX_[503] + vX_[2618] * vX_[556];
+ vX_[2234] = vX_[2979] + vX_[2314] * vX_[840] + vX_[2297] * vX_[950] + vX_[2337] * x_in[27];
+ vX_[2456] = 0 - vX_[2819];
+ vX_[2679] = 0 - vX_[3094] + vX_[3198] - vX_[2679];
+ vX_[3198] = vX_[2971] + vX_[2641] * 0.08;
+ vX_[3094] = vX_[3198] + vX_[2741] * -0.35;
+ vX_[2461] = vX_[3094] * 0.0004405 + vX_[417] * -8.81e-05 + vX_[2757] * -0.000227999999999999;
+ vX_[2226] = vX_[3094] * 0.1104774 + vX_[3110] * -8.81e-05 + (0 - vX_[2677]) * 0.025713;
+ vX_[2467] = (0 - vX_[417]) * 0.0004405;
+ vX_[2411] = (0 - vX_[3110]) * 0.1104774;
+ vX_[2447] = vX_[2467] + vX_[2411];
+ vX_[2447] = vX_[2456] * vX_[979] + vX_[2679] * vX_[970] + vX_[2461] * vX_[975] + vX_[2226] * vX_[972] + vX_[2447] * vX_[966] + vX_[2447] * vX_[966];
+ vX_[2367] = vX_[3094] * 0.881 + (0 - vX_[2677]) * 0.1104774 + vX_[2757] * 0.0004405;
+ vX_[2496] = vX_[417] * 0.00185880198235362 + vX_[3110] * 0.880992588508842 + vX_[2677] * -8.81e-05;
+ vX_[2456] = vX_[2456] * vX_[966] + vX_[2367] * vX_[972] + vX_[2496] * x_in[29];
+ vX_[2492] = 0 - vX_[2367];
+ vX_[2371] = vX_[417] * 0.414812462825713 + vX_[3110] * 0.00185880198235362 + vX_[2757] * 8.81e-05;
+ vX_[2679] = vX_[2679] * vX_[966] + vX_[2492] * vX_[975] - vX_[2371] * x_in[29];
+ vX_[2374] = 0 - vX_[372];
+ vX_[2535] = 0 - vX_[2796] + vX_[2535];
+ vX_[2796] = vX_[3198] * -0.0825825 + (0 - vX_[2705]) * 0.000102 + vX_[2741] * 0.007418 + vX_[2755] * 0.002735;
+ vX_[2426] = vX_[3198] * 0.47422804 + vX_[2705] * 2.1e-05 + (0 - vX_[2741]) * 0.084376 + (0 - vX_[2755]) * 0.007418;
+ vX_[2370] = (0 - vX_[2965]) * -0.0825825;
+ vX_[2457] = (0 - vX_[3056]) * 0.47422804;
+ vX_[2232] = vX_[2741] * 0.000102;
+ vX_[2473] = (0 - vX_[2755]) * 2.1e-05;
+ vX_[2462] = vX_[2370] + vX_[2457] + vX_[2232] + vX_[2473];
+ vX_[2462] = vX_[2447] + vX_[2456] * vX_[978] + vX_[2679] * vX_[244] + vX_[2374] * vX_[969] + vX_[2535] * vX_[958] + vX_[2796] * vX_[963] + vX_[2426] * vX_[960] + vX_[2462] * vX_[952] + vX_[2462] * vX_[952];
+ vX_[2498] = vX_[3198] * 3.146 + (0 - vX_[2741]) * 0.47422804 + vX_[2755] * -0.0825825;
+ vX_[2468] = vX_[2965] * vX_[292] + vX_[3056] * vX_[291] + vX_[2741] * vX_[270] + vX_[2755] * vX_[264];
+ vX_[2374] = vX_[2456] * vX_[239] + vX_[2679] * vX_[241] + vX_[2374] * vX_[952] + vX_[2498] * vX_[960] + vX_[2468] * x_in[28];
+ vX_[2503] = 0 - vX_[2498];
+ vX_[2472] = vX_[2965] * vX_[290] + vX_[3056] * vX_[292] + vX_[2741] * vX_[276] + vX_[2755] * vX_[275];
+ vX_[2535] = vX_[2456] * vX_[977] + vX_[2679] * vX_[239] + vX_[2535] * vX_[952] + vX_[2503] * vX_[963] - vX_[2472] * x_in[28];
+ vX_[2471] = 0 - vX_[2297];
+ vX_[2231] = vX_[2971] * -0.5824264 + (0 - vX_[2641]) * 0.022734 + vX_[3061] * 3.6e-05 + vX_[2618] * -0.133138;
+ vX_[2377] = vX_[2971] * 0.1466472 + vX_[2641] * 0.009466 + (0 - vX_[3061]) * -5.1e-05 + vX_[2618] * 0.022734;
+ vX_[2375] = (0 - vX_[3055]) * -0.5824264;
+ vX_[2233] = (0 - vX_[2822]) * 0.1466472;
+ vX_[2348] = (0 - vX_[2641]) * 3.6e-05;
+ vX_[2365] = (0 - vX_[2618]) * -5.1e-05;
+ vX_[2364] = vX_[2375] + vX_[2233] + vX_[2348] - vX_[2365];
+ vX_[2228] = vX_[3055] * vX_[348] + vX_[2971] * vX_[502] + vX_[2822] * vX_[556] + vX_[3061] * vX_[555] + vX_[2618] * vX_[312];
+ vX_[2364] = vX_[2462] + vX_[2374] * vX_[968] + vX_[2535] * vX_[283] + vX_[364] * vX_[846] + vX_[2471] * vX_[957] + vX_[2231] * vX_[840] + vX_[2377] * vX_[950] + vX_[2364] * vX_[937] + vX_[2364] * vX_[937] + vX_[2228] * x_in[27];
+ vX_[2089] = vX_[1412] - vX_[1430];
+ vX_[2311] = vX_[2089] * vX_[316] + vX_[2756] * vX_[235];
+ vX_[2088] = vX_[2089] * vX_[329] + vX_[2756] * vX_[316];
+ vX_[2199] = vX_[2088] + vX_[3413];
+ vX_[1970] = vX_[2311] * vX_[329] + vX_[2199] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[2025] = 0 - vX_[1970];
+ vX_[2184] = vX_[1430] + vX_[2311] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[2304] = 0 - vX_[2184];
+ vX_[2309] = vX_[1430] + vX_[2088] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[1757] = vX_[1443] + vX_[1291] - vX_[3050];
+ vX_[2315] = vX_[2669] * vX_[316] + vX_[3050] * vX_[235];
+ vX_[2259] = 0 - (vX_[1757] * vX_[329] + vX_[2762] * vX_[316]) + vX_[2315];
+ vX_[2295] = vX_[2259] + vX_[2184] * vX_[317];
+ vX_[2096] = 0 - vX_[2295];
+ vX_[2344] = vX_[2669] * vX_[329] + vX_[3050] * vX_[316];
+ vX_[2340] = vX_[1757] * vX_[316] + vX_[2762] * vX_[235] + vX_[2344];
+ vX_[2092] = 0 - vX_[2309];
+ vX_[2210] = vX_[2340] + vX_[1970] * vX_[317] + vX_[2092] * vX_[236];
+ vX_[2274] = vX_[1403] + vX_[1399];
+ vX_[2180] = vX_[2613] * vX_[316] + vX_[2274] * vX_[329];
+ vX_[2305] = vX_[2180] * vX_[316] + vX_[2615] * vX_[235];
+ vX_[2216] = vX_[1327] + vX_[1420];
+ vX_[2767] = 0 - vX_[2767];
+ vX_[2321] = vX_[2216] * vX_[329] + vX_[2767] * vX_[316];
+ vX_[2310] = 0 - vX_[2321];
+ vX_[2346] = vX_[2305] + vX_[2310] * vX_[236] + vX_[2304] * vX_[331];
+ vX_[2316] = 0 - vX_[2346];
+ vX_[2351] = vX_[2613] * vX_[235] + vX_[2274] * vX_[316];
+ vX_[2320] = vX_[2351] * vX_[329] + vX_[2466] * vX_[316];
+ vX_[2319] = vX_[2216] * vX_[316] + vX_[522] * vX_[235];
+ vX_[2100] = 0 - vX_[2319];
+ vX_[2090] = vX_[2320] + vX_[2100] * vX_[317] + vX_[2309] * vX_[331];
+ vX_[2095] = vX_[2351] * vX_[316] + vX_[2466] * vX_[235];
+ vX_[2101] = vX_[2095] + vX_[2321] * vX_[317];
+ vX_[2097] = vX_[2180] * vX_[329] + vX_[2615] * vX_[316];
+ vX_[2179] = vX_[2097] + vX_[2319] * vX_[236] + vX_[2025] * vX_[331];
+ vX_[2211] = 0 - vX_[2101] + vX_[2179];
+ vX_[2099] = 0 - vX_[1970];
+ vX_[2176] = 0 - vX_[2184];
+ vX_[2304] = vX_[2025] * vX_[559] + vX_[2304] * vX_[505] + vX_[2309] * vX_[295] + vX_[2096] * vX_[332] + vX_[2210] * vX_[343] + vX_[2316] * vX_[324] + vX_[2090] * vX_[318] + vX_[2211] * vX_[315] + vX_[1970] * vX_[553] + vX_[2099] * vX_[556] + vX_[2176] * vX_[504] + vX_[2309] * vX_[508];
+ vX_[2025] = vX_[2971] * -3.44;
+ vX_[2082] = vX_[2641] * 0.1466472;
+ vX_[2173] = vX_[2618] * -0.5824264;
+ vX_[1938] = 0 - vX_[2025] + vX_[2082] - vX_[2173];
+ vX_[2029] = vX_[3055] * vX_[343] + vX_[2971] * vX_[318] + vX_[2822] * vX_[315] + vX_[3061] * vX_[553] + vX_[2618] * vX_[502];
+ vX_[2471] = vX_[2374] * vX_[237] + vX_[2535] * vX_[265] + vX_[1938] * vX_[840] + vX_[2471] * vX_[937] - vX_[2029] * x_in[27];
+ vX_[2048] = vX_[1412] + vX_[1431] + vX_[1430] - vX_[2184] - vX_[2309];
+ vX_[1605] = 0 - vX_[2048];
+ vX_[2315] = vX_[2315] + vX_[1605] * vX_[317];
+ vX_[2344] = vX_[2344] + vX_[2048] * vX_[236];
+ vX_[2159] = 0 - vX_[2210];
+ vX_[1951] = 0 - vX_[2090];
+ vX_[1910] = vX_[1445] + vX_[1441] + vX_[2274] + vX_[2386] - vX_[2095] - vX_[2097];
+ vX_[2179] = vX_[1910] - vX_[2179];
+ vX_[1978] = 0 - vX_[2321];
+ vX_[2177] = 0 - vX_[1970];
+ vX_[2121] = 0 - vX_[2309];
+ vX_[2157] = vX_[1395] - vX_[1320];
+ vX_[2081] = vX_[1408] + vX_[1407];
+ vX_[2080] = vX_[2157] * vX_[316] + vX_[2623] * vX_[235];
+ vX_[2171] = vX_[2157] * vX_[329] + vX_[2623] * vX_[316];
+ vX_[418] = vX_[417] * 0.1104774 + vX_[3110] * 0.0004405 + vX_[418] * 0.025941;
+ vX_[2010] = (0 - vX_[3094]) * -8.81e-05;
+ vX_[2411] = vX_[2010] + vX_[2411];
+ vX_[2757] = vX_[3094] * 0.0004405 + vX_[417] * 8.81e-05 + vX_[2757] * 0.000468;
+ vX_[2411] = vX_[2819] * vX_[973] + vX_[2492] * vX_[970] + vX_[2461] * vX_[966] + vX_[418] * vX_[972] + vX_[2411] * vX_[975] + vX_[2411] * vX_[975] + vX_[2757] * x_in[29];
+ vX_[2010] = vX_[2010] + vX_[2467];
+ vX_[3094] = vX_[3094] * -0.1104774 + vX_[3110] * -8.81e-05 + vX_[2677] * 0.026409;
+ jac[1065] = vX_[2371] * vX_[984] + vX_[2496] * vX_[979] + vX_[3094] * vX_[992] + vX_[2757] * vX_[975] + vX_[2447];
+ vX_[3094] = vX_[2674] * vX_[973] + vX_[2367] * vX_[979] + vX_[2226] * vX_[966] + vX_[418] * vX_[975] + vX_[2010] * vX_[972] + vX_[2010] * vX_[972] - vX_[3094] * x_in[29];
+ vX_[2010] = vX_[2965] * 0.47422804 + vX_[3056] * -0.0825825 + vX_[2705] * 0.081641 + (0 - vX_[2741]) * 2.1e-05 + vX_[2755] * 0.000102;
+ vX_[418] = (0 - vX_[2705]) * 0.007418;
+ vX_[2473] = vX_[2457] + vX_[418] - vX_[2473];
+ vX_[2457] = vX_[3198] * vX_[259] + vX_[2965] * vX_[275] + vX_[3056] * vX_[264] + vX_[2741] * vX_[307] + vX_[2755] * vX_[303];
+ vX_[2473] = vX_[3193] * -0.35 + vX_[2411] * vX_[239] + vX_[3094] * vX_[241] + vX_[372] * vX_[961] + vX_[2503] * vX_[958] + vX_[2796] * vX_[952] + vX_[2010] * vX_[960] + vX_[2473] * vX_[963] + vX_[2473] * vX_[963] + vX_[2457] * x_in[28];
+ vX_[418] = vX_[2370] - vX_[418] - vX_[2232];
+ vX_[2232] = vX_[3198] * vX_[272] + vX_[2965] * vX_[276] + vX_[3056] * vX_[270] + vX_[2741] * vX_[301] + vX_[2755] * vX_[307];
+ jac[1029] = vX_[2472] * vX_[1002] + vX_[2468] * vX_[969] + vX_[2232] * vX_[999] + vX_[2457] * vX_[963] + vX_[2462];
+ vX_[2232] = vX_[2411] * vX_[242] + vX_[3094] * vX_[239] + vX_[2821] * vX_[961] + vX_[2498] * vX_[969] + vX_[2426] * vX_[952] + vX_[2010] * vX_[963] + vX_[418] * vX_[960] + vX_[418] * vX_[960] - vX_[2232] * x_in[28];
+ vX_[2173] = vX_[2025] - vX_[2082] + vX_[2173];
+ vX_[2082] = vX_[3055] * 0.1466472 + vX_[2822] * -0.5824264 + vX_[2641] * -5.1e-05 + (0 - vX_[3061]) * -0.123672 + (0 - vX_[2618]) * 3.6e-05;
+ vX_[2025] = vX_[3061] * 0.022734;
+ vX_[2348] = vX_[2375] - vX_[2348] - vX_[2025];
+ vX_[2375] = vX_[3055] * vX_[286] + vX_[2971] * vX_[553] + vX_[2822] * vX_[503] + vX_[3061] * vX_[501] + vX_[2618] * vX_[555];
+ vX_[2348] = vX_[2473] * vX_[238] + vX_[2232] * vX_[265] + vX_[2173] * vX_[846] + vX_[2297] * vX_[934] + vX_[2082] * vX_[840] + vX_[2377] * vX_[937] + vX_[2348] * vX_[950] + vX_[2348] * vX_[950] - vX_[2375] * x_in[27];
+ vX_[2624] = 0 - vX_[2624];
+ vX_[2377] = vX_[2171] + vX_[2648];
+ vX_[2297] = 0 - vX_[2315];
+ vX_[418] = 0 - vX_[2344];
+ vX_[1910] = 0 - vX_[1910] + vX_[2101];
+ vX_[2101] = 0 - vX_[2319];
+ jac[345] = 0 - (vX_[1361] * vX_[993] + vX_[1326] * vX_[982] + vX_[2516] * vX_[673] + vX_[2623] * vX_[675] + vX_[2540] * vX_[332] + vX_[2648] * vX_[233] + vX_[2563] * vX_[315] + vX_[2613] * vX_[640] + vX_[3050] * vX_[340] + vX_[2386] * vX_[614] + vX_[2466] * vX_[558] + vX_[2615] * vX_[616] + vX_[2762] * vX_[349] + vX_[2792] * vX_[563] + vX_[2756] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[2234] * x_in[22] + vX_[2364] * x_in[19] + (vX_[1285] * vX_[993] + vX_[2304] * vX_[329] + vX_[2234] * x_in[20]) * 0.3735 - (vX_[1364] * vX_[1017] + vX_[2471] * x_in[23]) + (vX_[1326] * vX_[1017] + vX_[2471] * x_in[19]) * 0.3735 + (vX_[1305] * vX_[1017] + vX_[2310] * vX_[505] + vX_[2319] * vX_[559] + vX_[2048] * vX_[342] + vX_[2092] * vX_[344] + vX_[2315] * vX_[315] + vX_[2344] * vX_[324] + vX_[2159] * vX_[327] + vX_[1951] * vX_[343] + vX_[2179] * vX_[332] + vX_[1978] * vX_[503] + vX_[2319] * vX_[556] + vX_[2177] * vX_[286] + vX_[2121] * vX_[510] + vX_[2471] * x_in[18]) * 0.207 - (vX_[1285] * vX_[987] + vX_[2157] * vX_[672] + vX_[2081] * vX_[652] + vX_[2080] * vX_[315] + vX_[2171] * vX_[123] + vX_[2449] * vX_[617] + vX_[2669] * vX_[350] + vX_[2274] * vX_[639] + vX_[2351] * vX_[613] + vX_[2180] * vX_[615] + vX_[1757] * vX_[339] + vX_[2089] * vX_[562] + vX_[2216] * vX_[592] + vX_[2311] * vX_[560] + vX_[2088] * vX_[511] + vX_[2304] * vX_[330] + vX_[2348] * x_in[20])) * vX_[746] + (vX_[1364] * vX_[993] + vX_[1361] * vX_[1017] + vX_[1285] * vX_[982] + vX_[1326] * vX_[987] + vX_[2157] * vX_[675] + vX_[2516] * vX_[671] + vX_[2623] * vX_[672] + vX_[2081] * vX_[332] + vX_[2624] * vX_[652] + vX_[2080] * vX_[233] + vX_[2377] * vX_[315] + vX_[2563] * vX_[123] + vX_[2613] * vX_[639] + vX_[2449] * vX_[614] + vX_[2669] * vX_[340] + vX_[3050] * vX_[350] + vX_[2274] * vX_[640] + vX_[2386] * vX_[617] + vX_[2351] * vX_[558] + vX_[2180] * vX_[616] + vX_[2466] * vX_[613] + vX_[2615] * vX_[615] + vX_[1757] * vX_[349] + vX_[2762] * vX_[339] + vX_[2089] * vX_[565] + vX_[2792] * vX_[561] + vX_[2756] * vX_[562] + vX_[2216] * vX_[593] + vX_[2767] * vX_[592] + vX_[2311] * vX_[507] + vX_[2199] * vX_[560] + vX_[3453] * vX_[511] + vX_[2304] * vX_[328] + (vX_[2321] * vX_[557] + vX_[2100] * vX_[295] + vX_[1970] * vX_[344] + vX_[1605] * vX_[319] + vX_[2184] * vX_[333] + vX_[2297] * vX_[318] + vX_[2295] * vX_[327] + vX_[418] * vX_[315] + vX_[2346] * vX_[332] + vX_[1910] * vX_[343] + vX_[2321] * vX_[553] + vX_[2101] * vX_[502] + vX_[1970] * vX_[348] + vX_[2184] * vX_[499]) * 0.207 + vX_[2234] * x_in[23] + vX_[2471] * x_in[22] + vX_[2364] * x_in[20] + vX_[2348] * x_in[19] + (vX_[1326] * vX_[993] + vX_[2304] * vX_[316] + vX_[2234] * x_in[19]) * -0.3735 + (vX_[1305] * vX_[993] + vX_[2234] * x_in[18]) * -0.207 + (vX_[1285] * vX_[1017] + vX_[2471] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[2157] = vX_[1535] - vX_[1491];
+ vX_[1605] = vX_[1528] + vX_[1527];
+ vX_[2048] = vX_[1532] + vX_[1537];
+ vX_[2304] = 0 - vX_[2048];
+ vX_[2100] = vX_[2157] * vX_[235];
+ vX_[2351] = vX_[2157] * vX_[316];
+ vX_[2310] = vX_[1541] + vX_[1531];
+ vX_[2767] = vX_[1565] + vX_[1571];
+ vX_[2216] = vX_[1563] + vX_[1529];
+ vX_[2180] = vX_[1552] + vX_[1422];
+ vX_[2274] = vX_[2180] * vX_[316] + vX_[2216] * vX_[235];
+ vX_[2092] = vX_[2180] * vX_[329] + vX_[2216] * vX_[316];
+ vX_[1757] = vX_[1554] + vX_[1570];
+ vX_[2199] = 0 - (vX_[1542] + vX_[1492]) + vX_[1757];
+ vX_[2088] = vX_[1562] - vX_[1561];
+ vX_[2311] = vX_[1463] + vX_[1526];
+ vX_[2089] = vX_[1578] + vX_[1573];
+ vX_[3453] = 0 - vX_[2089];
+ vX_[3413] = vX_[2088] * vX_[235];
+ vX_[522] = vX_[2088] * vX_[316];
+ vX_[2756] = vX_[1451] + vX_[1433] * 0.207;
+ vX_[2792] = vX_[1496] * vX_[956] + vX_[1322] * vX_[316] + vX_[1433] * vX_[954] + vX_[1458] * vX_[955] + vX_[1038] * vX_[236];
+ vX_[2762] = vX_[1433] * vX_[316] + vX_[1458] * vX_[235];
+ vX_[2669] = vX_[2756] * vX_[967] + vX_[2792] * vX_[237] + vX_[2762] * vX_[968];
+ vX_[2615] = vX_[2756] * vX_[953] + vX_[2792] * vX_[265] + vX_[2762] * vX_[283];
+ vX_[2466] = vX_[2669] * 1 / vX_[262];
+ vX_[2449] = vX_[2615] * 1 / vX_[262];
+ vX_[2386] = vX_[2762] * 1 / vX_[262];
+ vX_[3050] = vX_[2756] * 1 / vX_[313];
+ vX_[2613] = vX_[1496] * vX_[316] + vX_[1322] * vX_[235] + vX_[1433] * vX_[330] + vX_[1458] * vX_[328] + vX_[1038] * vX_[935];
+ vX_[2623] = vX_[2613] * 1 / vX_[313];
+ vX_[2516] = vX_[2792] * 1 / vX_[313];
+ vX_[2010] = vX_[1038] * 1 / vX_[313];
+ vX_[2498] = vX_[2762] * 1 / vX_[313];
+ vX_[2426] = vX_[1433] * vX_[329] + vX_[1458] * vX_[316];
+ vX_[2821] = vX_[2426] * 1 / vX_[313];
+ vX_[2457] = vX_[1038] - (vX_[3050] * vX_[325] + vX_[2623] * vX_[287] + vX_[2516] * vX_[278] + vX_[2010] * vX_[313] + vX_[2498] * vX_[338] + vX_[2821] * vX_[347]);
+ vX_[2472] = vX_[2457] * vX_[266] + vX_[2426] * vX_[238];
+ vX_[2468] = vX_[2472] * 1 / vX_[262];
+ vX_[2462] = vX_[2457] * vX_[238] + vX_[2426] * vX_[265];
+ vX_[2370] = vX_[2462] * 1 / vX_[262];
+ vX_[2503] = vX_[2762] - (vX_[2466] * vX_[273] + vX_[2449] * vX_[260] + vX_[2386] * vX_[262] + vX_[2468] * vX_[269] + vX_[2370] * vX_[250]);
+ vX_[2796] = vX_[2669] * vX_[241] + vX_[2615] * vX_[239] + vX_[2503] * vX_[244];
+ vX_[372] = vX_[2669] * vX_[239] + vX_[2615] * vX_[977] + vX_[2503] * vX_[978];
+ vX_[3193] = vX_[2503] - (vX_[372] * 38.1956380581338 * 0.1104774 + vX_[2796] * 38.1956380581338 * -0.0004405 + vX_[2503] * 38.1956380581338 * 0.026181);
+ vX_[2367] = vX_[2472] * vX_[239] + vX_[2462] * vX_[242];
+ vX_[2226] = vX_[2796] * 0.881 + (0 - vX_[3193]) * 0.0004405 + vX_[2367] * -8.81e-05;
+ vX_[2674] = vX_[372] * -0.881;
+ vX_[2757] = vX_[3193] * 0.1104774;
+ vX_[2371] = vX_[2472] * vX_[241] + vX_[2462] * vX_[239];
+ vX_[2496] = vX_[2371] * -8.81e-05;
+ vX_[2447] = vX_[2674] - vX_[2757] + vX_[2496];
+ vX_[2677] = vX_[2226] * vX_[975] + vX_[2447] * vX_[972];
+ vX_[3110] = vX_[2615] * 3.146 + (0 - vX_[2503]) * -0.0825825;
+ vX_[2467] = vX_[2669] * -3.146;
+ vX_[2492] = vX_[2503] * 0.47422804;
+ vX_[2461] = vX_[2467] - vX_[2492];
+ vX_[2819] = vX_[2677] + vX_[3110] * vX_[963] + vX_[2461] * vX_[960];
+ vX_[417] = vX_[2792] * 3.44 + vX_[2762] * -0.5824264;
+ vX_[2172] = 0 - vX_[417];
+ vX_[2136] = vX_[2756] * 3.44 + (0 - vX_[2762]) * 0.1466472;
+ vX_[2167] = vX_[2756] * vX_[332] + vX_[2613] * vX_[315] + vX_[2792] * vX_[324] + vX_[2762] * vX_[503] + vX_[2426] * vX_[556];
+ vX_[2084] = vX_[2819] + vX_[2172] * vX_[840] + vX_[2136] * vX_[950] + vX_[2167] * x_in[27];
+ vX_[2031] = 0 - vX_[2226];
+ vX_[2496] = 0 - vX_[2674] + vX_[2757] - vX_[2496];
+ vX_[2757] = vX_[2613] + vX_[2457] * 0.08;
+ vX_[2674] = vX_[2757] + vX_[2472] * -0.35;
+ vX_[2012] = vX_[2674] * 0.0004405 + vX_[372] * -8.81e-05 + vX_[2371] * -0.000227999999999999;
+ vX_[2202] = vX_[2674] * 0.1104774 + vX_[2796] * -8.81e-05 + (0 - vX_[2367]) * 0.025713;
+ vX_[2208] = (0 - vX_[372]) * 0.0004405;
+ vX_[1753] = (0 - vX_[2796]) * 0.1104774;
+ vX_[662] = vX_[2208] + vX_[1753];
+ vX_[662] = vX_[2031] * vX_[979] + vX_[2496] * vX_[970] + vX_[2012] * vX_[975] + vX_[2202] * vX_[972] + vX_[662] * vX_[966] + vX_[662] * vX_[966];
+ vX_[2178] = vX_[2674] * 0.881 + (0 - vX_[2367]) * 0.1104774 + vX_[2371] * 0.0004405;
+ vX_[2213] = vX_[372] * 0.00185880198235362 + vX_[2796] * 0.880992588508842 + vX_[2367] * -8.81e-05;
+ vX_[2031] = vX_[2031] * vX_[966] + vX_[2178] * vX_[972] + vX_[2213] * x_in[29];
+ vX_[2182] = 0 - vX_[2178];
+ vX_[2181] = vX_[372] * 0.414812462825713 + vX_[2796] * 0.00185880198235362 + vX_[2371] * 8.81e-05;
+ vX_[2496] = vX_[2496] * vX_[966] + vX_[2182] * vX_[975] - vX_[2181] * x_in[29];
+ vX_[1941] = 0 - vX_[3110];
+ vX_[2492] = 0 - vX_[2467] + vX_[2492];
+ vX_[2467] = vX_[2757] * -0.0825825 + (0 - vX_[2503]) * 0.000102 + vX_[2472] * 0.007418 + vX_[2462] * 0.002735;
+ vX_[2087] = vX_[2757] * 0.47422804 + vX_[2503] * 2.1e-05 + (0 - vX_[2472]) * 0.084376 + (0 - vX_[2462]) * 0.007418;
+ vX_[2085] = (0 - vX_[2669]) * -0.0825825;
+ vX_[1944] = (0 - vX_[2615]) * 0.47422804;
+ vX_[2032] = vX_[2472] * 0.000102;
+ vX_[2086] = (0 - vX_[2462]) * 2.1e-05;
+ vX_[1947] = vX_[2085] + vX_[1944] + vX_[2032] + vX_[2086];
+ vX_[1947] = vX_[662] + vX_[2031] * vX_[978] + vX_[2496] * vX_[244] + vX_[1941] * vX_[969] + vX_[2492] * vX_[958] + vX_[2467] * vX_[963] + vX_[2087] * vX_[960] + vX_[1947] * vX_[952] + vX_[1947] * vX_[952];
+ vX_[2062] = vX_[2757] * 3.146 + (0 - vX_[2472]) * 0.47422804 + vX_[2462] * -0.0825825;
+ vX_[2064] = vX_[2669] * vX_[292] + vX_[2615] * vX_[291] + vX_[2472] * vX_[270] + vX_[2462] * vX_[264];
+ vX_[1941] = vX_[2031] * vX_[239] + vX_[2496] * vX_[241] + vX_[1941] * vX_[952] + vX_[2062] * vX_[960] + vX_[2064] * x_in[28];
+ vX_[2013] = 0 - vX_[2062];
+ vX_[2052] = vX_[2669] * vX_[290] + vX_[2615] * vX_[292] + vX_[2472] * vX_[276] + vX_[2462] * vX_[275];
+ vX_[2492] = vX_[2031] * vX_[977] + vX_[2496] * vX_[239] + vX_[2492] * vX_[952] + vX_[2013] * vX_[963] - vX_[2052] * x_in[28];
+ vX_[1915] = 0 - vX_[2136];
+ vX_[1803] = vX_[2613] * -0.5824264 + (0 - vX_[2457]) * 0.022734 + vX_[2762] * 3.6e-05 + vX_[2426] * -0.133138;
+ vX_[1940] = vX_[2613] * 0.1466472 + vX_[2457] * 0.009466 + (0 - vX_[2762]) * -5.1e-05 + vX_[2426] * 0.022734;
+ vX_[1819] = (0 - vX_[2756]) * -0.5824264;
+ vX_[2051] = (0 - vX_[2792]) * 0.1466472;
+ vX_[2028] = (0 - vX_[2457]) * 3.6e-05;
+ vX_[1934] = (0 - vX_[2426]) * -5.1e-05;
+ vX_[1847] = vX_[1819] + vX_[2051] + vX_[2028] - vX_[1934];
+ vX_[1824] = vX_[2756] * vX_[348] + vX_[2613] * vX_[502] + vX_[2792] * vX_[556] + vX_[2762] * vX_[555] + vX_[2426] * vX_[312];
+ vX_[1847] = vX_[1947] + vX_[1941] * vX_[968] + vX_[2492] * vX_[283] + vX_[417] * vX_[846] + vX_[1915] * vX_[957] + vX_[1803] * vX_[840] + vX_[1940] * vX_[950] + vX_[1847] * vX_[937] + vX_[1847] * vX_[937] + vX_[1824] * x_in[27];
+ vX_[401] = vX_[1543] - vX_[1561];
+ vX_[1904] = vX_[401] * vX_[316] + vX_[2311] * vX_[235];
+ vX_[1901] = vX_[401] * vX_[329] + vX_[2311] * vX_[316];
+ vX_[2011] = vX_[1901] + vX_[3413];
+ vX_[1799] = vX_[1904] * vX_[329] + vX_[2011] * vX_[316] + vX_[522] * vX_[235];
+ vX_[668] = 0 - vX_[1799];
+ vX_[1837] = vX_[1561] + vX_[1904] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1817] = 0 - vX_[1837];
+ vX_[1973] = vX_[1561] + vX_[1901] * vX_[329] + vX_[522] * vX_[316];
+ vX_[2009] = vX_[1574] + vX_[1402] - vX_[2767];
+ vX_[1932] = vX_[1757] * vX_[316] + vX_[2767] * vX_[235];
+ vX_[1931] = 0 - (vX_[2009] * vX_[329] + vX_[2199] * vX_[316]) + vX_[1932];
+ vX_[2023] = vX_[1931] + vX_[1837] * vX_[317];
+ vX_[1859] = 0 - vX_[2023];
+ vX_[2024] = vX_[1757] * vX_[329] + vX_[2767] * vX_[316];
+ vX_[1930] = vX_[2009] * vX_[316] + vX_[2199] * vX_[235] + vX_[2024];
+ vX_[2019] = 0 - vX_[1973];
+ vX_[1936] = vX_[1930] + vX_[1799] * vX_[317] + vX_[2019] * vX_[236];
+ vX_[1881] = vX_[1534] + vX_[1530];
+ vX_[1862] = vX_[2310] * vX_[316] + vX_[1881] * vX_[329];
+ vX_[2054] = vX_[1862] * vX_[316] + vX_[2092] * vX_[235];
+ vX_[2060] = vX_[1459] + vX_[1551];
+ vX_[2089] = 0 - vX_[2089];
+ vX_[2030] = vX_[2060] * vX_[329] + vX_[2089] * vX_[316];
+ vX_[2065] = 0 - vX_[2030];
+ vX_[2034] = vX_[2054] + vX_[2065] * vX_[236] + vX_[1817] * vX_[331];
+ vX_[2033] = 0 - vX_[2034];
+ vX_[1789] = vX_[2310] * vX_[235] + vX_[1881] * vX_[316];
+ vX_[1939] = vX_[1789] * vX_[329] + vX_[2274] * vX_[316];
+ vX_[1937] = vX_[2060] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1792] = 0 - vX_[1937];
+ vX_[1882] = vX_[1939] + vX_[1792] * vX_[317] + vX_[1973] * vX_[331];
+ vX_[1795] = vX_[1789] * vX_[316] + vX_[2274] * vX_[235];
+ vX_[1914] = vX_[1795] + vX_[2030] * vX_[317];
+ vX_[1916] = vX_[1862] * vX_[329] + vX_[2092] * vX_[316];
+ vX_[1863] = vX_[1916] + vX_[1937] * vX_[236] + vX_[668] * vX_[331];
+ vX_[1905] = 0 - vX_[1914] + vX_[1863];
+ vX_[1842] = 0 - vX_[1799];
+ vX_[1786] = 0 - vX_[1837];
+ vX_[1817] = vX_[668] * vX_[559] + vX_[1817] * vX_[505] + vX_[1973] * vX_[295] + vX_[1859] * vX_[332] + vX_[1936] * vX_[343] + vX_[2033] * vX_[324] + vX_[1882] * vX_[318] + vX_[1905] * vX_[315] + vX_[1799] * vX_[553] + vX_[1842] * vX_[556] + vX_[1786] * vX_[504] + vX_[1973] * vX_[508];
+ vX_[668] = vX_[2613] * -3.44;
+ vX_[1788] = vX_[2457] * 0.1466472;
+ vX_[1721] = vX_[2426] * -0.5824264;
+ vX_[1903] = 0 - vX_[668] + vX_[1788] - vX_[1721];
+ vX_[1877] = vX_[2756] * vX_[343] + vX_[2613] * vX_[318] + vX_[2792] * vX_[315] + vX_[2762] * vX_[553] + vX_[2426] * vX_[502];
+ vX_[1915] = vX_[1941] * vX_[237] + vX_[2492] * vX_[265] + vX_[1903] * vX_[840] + vX_[1915] * vX_[937] - vX_[1877] * x_in[27];
+ vX_[789] = vX_[1543] + vX_[1562] + vX_[1561] - vX_[1837] - vX_[1973];
+ vX_[1874] = 0 - vX_[789];
+ vX_[1932] = vX_[1932] + vX_[1874] * vX_[317];
+ vX_[2024] = vX_[2024] + vX_[789] * vX_[236];
+ vX_[1611] = 0 - vX_[1936];
+ vX_[1733] = 0 - vX_[1882];
+ vX_[1716] = vX_[1576] + vX_[1572] + vX_[1881] + vX_[2216] - vX_[1795] - vX_[1916];
+ vX_[1863] = vX_[1716] - vX_[1863];
+ vX_[1756] = 0 - vX_[2030];
+ vX_[1860] = 0 - vX_[1799];
+ vX_[1867] = 0 - vX_[1973];
+ vX_[1870] = vX_[1525] - vX_[1491];
+ vX_[783] = vX_[1539] + vX_[1538];
+ vX_[1879] = vX_[1870] * vX_[316] + vX_[1605] * vX_[235];
+ vX_[1822] = vX_[1870] * vX_[329] + vX_[1605] * vX_[316];
+ vX_[3193] = vX_[372] * 0.1104774 + vX_[2796] * 0.0004405 + vX_[3193] * 0.025941;
+ vX_[1858] = (0 - vX_[2674]) * -8.81e-05;
+ vX_[1753] = vX_[1858] + vX_[1753];
+ vX_[2371] = vX_[2674] * 0.0004405 + vX_[372] * 8.81e-05 + vX_[2371] * 0.000468;
+ vX_[1753] = vX_[2226] * vX_[973] + vX_[2182] * vX_[970] + vX_[2012] * vX_[966] + vX_[3193] * vX_[972] + vX_[1753] * vX_[975] + vX_[1753] * vX_[975] + vX_[2371] * x_in[29];
+ vX_[1858] = vX_[1858] + vX_[2208];
+ vX_[2674] = vX_[2674] * -0.1104774 + vX_[2796] * -8.81e-05 + vX_[2367] * 0.026409;
+ jac[1066] = vX_[2181] * vX_[984] + vX_[2213] * vX_[979] + vX_[2674] * vX_[992] + vX_[2371] * vX_[975] + vX_[662];
+ vX_[2674] = vX_[2447] * vX_[973] + vX_[2178] * vX_[979] + vX_[2202] * vX_[966] + vX_[3193] * vX_[975] + vX_[1858] * vX_[972] + vX_[1858] * vX_[972] - vX_[2674] * x_in[29];
+ vX_[1858] = vX_[2669] * 0.47422804 + vX_[2615] * -0.0825825 + vX_[2503] * 0.081641 + (0 - vX_[2472]) * 2.1e-05 + vX_[2462] * 0.000102;
+ vX_[3193] = (0 - vX_[2503]) * 0.007418;
+ vX_[2086] = vX_[1944] + vX_[3193] - vX_[2086];
+ vX_[1944] = vX_[2757] * vX_[259] + vX_[2669] * vX_[275] + vX_[2615] * vX_[264] + vX_[2472] * vX_[307] + vX_[2462] * vX_[303];
+ vX_[2086] = vX_[2677] * -0.35 + vX_[1753] * vX_[239] + vX_[2674] * vX_[241] + vX_[3110] * vX_[961] + vX_[2013] * vX_[958] + vX_[2467] * vX_[952] + vX_[1858] * vX_[960] + vX_[2086] * vX_[963] + vX_[2086] * vX_[963] + vX_[1944] * x_in[28];
+ vX_[3193] = vX_[2085] - vX_[3193] - vX_[2032];
+ vX_[2032] = vX_[2757] * vX_[272] + vX_[2669] * vX_[276] + vX_[2615] * vX_[270] + vX_[2472] * vX_[301] + vX_[2462] * vX_[307];
+ jac[1030] = vX_[2052] * vX_[1002] + vX_[2064] * vX_[969] + vX_[2032] * vX_[999] + vX_[1944] * vX_[963] + vX_[1947];
+ vX_[2032] = vX_[1753] * vX_[242] + vX_[2674] * vX_[239] + vX_[2461] * vX_[961] + vX_[2062] * vX_[969] + vX_[2087] * vX_[952] + vX_[1858] * vX_[963] + vX_[3193] * vX_[960] + vX_[3193] * vX_[960] - vX_[2032] * x_in[28];
+ vX_[1721] = vX_[668] - vX_[1788] + vX_[1721];
+ vX_[1788] = vX_[2756] * 0.1466472 + vX_[2792] * -0.5824264 + vX_[2457] * -5.1e-05 + (0 - vX_[2762]) * -0.123672 + (0 - vX_[2426]) * 3.6e-05;
+ vX_[668] = vX_[2762] * 0.022734;
+ vX_[2028] = vX_[1819] - vX_[2028] - vX_[668];
+ vX_[1819] = vX_[2756] * vX_[286] + vX_[2613] * vX_[553] + vX_[2792] * vX_[503] + vX_[2762] * vX_[501] + vX_[2426] * vX_[555];
+ vX_[2028] = vX_[2086] * vX_[238] + vX_[2032] * vX_[265] + vX_[1721] * vX_[846] + vX_[2136] * vX_[934] + vX_[1788] * vX_[840] + vX_[1940] * vX_[937] + vX_[2028] * vX_[950] + vX_[2028] * vX_[950] - vX_[1819] * x_in[27];
+ vX_[2048] = 0 - vX_[2048];
+ vX_[1940] = vX_[1822] + vX_[2100];
+ vX_[2136] = 0 - vX_[1932];
+ vX_[3193] = 0 - vX_[2024];
+ vX_[1716] = 0 - vX_[1716] + vX_[1914];
+ vX_[1914] = 0 - vX_[1937];
+ jac[346] = 0 - (vX_[1322] * vX_[993] + vX_[1458] * vX_[982] + vX_[2157] * vX_[673] + vX_[1605] * vX_[675] + vX_[2304] * vX_[332] + vX_[2100] * vX_[233] + vX_[2351] * vX_[315] + vX_[2310] * vX_[640] + vX_[2767] * vX_[340] + vX_[2216] * vX_[614] + vX_[2274] * vX_[558] + vX_[2092] * vX_[616] + vX_[2199] * vX_[349] + vX_[2088] * vX_[563] + vX_[2311] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[2084] * x_in[22] + vX_[1847] * x_in[19] + (vX_[1433] * vX_[993] + vX_[1817] * vX_[329] + vX_[2084] * x_in[20]) * 0.3735 - (vX_[1496] * vX_[1017] + vX_[1915] * x_in[23]) + (vX_[1458] * vX_[1017] + vX_[1915] * x_in[19]) * 0.3735 + (vX_[1038] * vX_[1017] + vX_[2065] * vX_[505] + vX_[1937] * vX_[559] + vX_[789] * vX_[342] + vX_[2019] * vX_[344] + vX_[1932] * vX_[315] + vX_[2024] * vX_[324] + vX_[1611] * vX_[327] + vX_[1733] * vX_[343] + vX_[1863] * vX_[332] + vX_[1756] * vX_[503] + vX_[1937] * vX_[556] + vX_[1860] * vX_[286] + vX_[1867] * vX_[510] + vX_[1915] * x_in[18]) * 0.207 - (vX_[1433] * vX_[987] + vX_[1870] * vX_[672] + vX_[783] * vX_[652] + vX_[1879] * vX_[315] + vX_[1822] * vX_[123] + vX_[2180] * vX_[617] + vX_[1757] * vX_[350] + vX_[1881] * vX_[639] + vX_[1789] * vX_[613] + vX_[1862] * vX_[615] + vX_[2009] * vX_[339] + vX_[401] * vX_[562] + vX_[2060] * vX_[592] + vX_[1904] * vX_[560] + vX_[1901] * vX_[511] + vX_[1817] * vX_[330] + vX_[2028] * x_in[20])) * vX_[746] + (vX_[1496] * vX_[993] + vX_[1322] * vX_[1017] + vX_[1433] * vX_[982] + vX_[1458] * vX_[987] + vX_[1870] * vX_[675] + vX_[2157] * vX_[671] + vX_[1605] * vX_[672] + vX_[783] * vX_[332] + vX_[2048] * vX_[652] + vX_[1879] * vX_[233] + vX_[1940] * vX_[315] + vX_[2351] * vX_[123] + vX_[2310] * vX_[639] + vX_[2180] * vX_[614] + vX_[1757] * vX_[340] + vX_[2767] * vX_[350] + vX_[1881] * vX_[640] + vX_[2216] * vX_[617] + vX_[1789] * vX_[558] + vX_[1862] * vX_[616] + vX_[2274] * vX_[613] + vX_[2092] * vX_[615] + vX_[2009] * vX_[349] + vX_[2199] * vX_[339] + vX_[401] * vX_[565] + vX_[2088] * vX_[561] + vX_[2311] * vX_[562] + vX_[2060] * vX_[593] + vX_[2089] * vX_[592] + vX_[1904] * vX_[507] + vX_[2011] * vX_[560] + vX_[522] * vX_[511] + vX_[1817] * vX_[328] + (vX_[2030] * vX_[557] + vX_[1792] * vX_[295] + vX_[1799] * vX_[344] + vX_[1874] * vX_[319] + vX_[1837] * vX_[333] + vX_[2136] * vX_[318] + vX_[2023] * vX_[327] + vX_[3193] * vX_[315] + vX_[2034] * vX_[332] + vX_[1716] * vX_[343] + vX_[2030] * vX_[553] + vX_[1914] * vX_[502] + vX_[1799] * vX_[348] + vX_[1837] * vX_[499]) * 0.207 + vX_[2084] * x_in[23] + vX_[1915] * x_in[22] + vX_[1847] * x_in[20] + vX_[2028] * x_in[19] + (vX_[1458] * vX_[993] + vX_[1817] * vX_[316] + vX_[2084] * x_in[19]) * -0.3735 + (vX_[1038] * vX_[993] + vX_[2084] * x_in[18]) * -0.207 + (vX_[1433] * vX_[1017] + vX_[1915] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[1870] = vX_[1666] - vX_[1622];
+ vX_[1874] = vX_[1659] + vX_[1658];
+ vX_[789] = vX_[1663] + vX_[1668];
+ vX_[1817] = 0 - vX_[789];
+ vX_[1792] = vX_[1870] * vX_[235];
+ vX_[1789] = vX_[1870] * vX_[316];
+ vX_[2065] = vX_[1672] + vX_[1662];
+ vX_[2089] = vX_[1696] + vX_[1702];
+ vX_[2060] = vX_[1694] + vX_[1660];
+ vX_[1862] = vX_[1683] + vX_[1553];
+ vX_[1881] = vX_[1862] * vX_[316] + vX_[2060] * vX_[235];
+ vX_[2019] = vX_[1862] * vX_[329] + vX_[2060] * vX_[316];
+ vX_[2009] = vX_[1685] + vX_[1701];
+ vX_[2011] = 0 - (vX_[1673] + vX_[1623]) + vX_[2009];
+ vX_[1901] = vX_[1693] - vX_[1692];
+ vX_[1904] = vX_[1594] + vX_[1657];
+ vX_[401] = vX_[1709] + vX_[1704];
+ vX_[522] = 0 - vX_[401];
+ vX_[3413] = vX_[1901] * vX_[235];
+ vX_[3453] = vX_[1901] * vX_[316];
+ vX_[2311] = vX_[1582] + vX_[1564] * 0.207;
+ vX_[2088] = vX_[1627] * vX_[956] + vX_[1455] * vX_[316] + vX_[1564] * vX_[954] + vX_[1589] * vX_[955] + vX_[1495] * vX_[236];
+ vX_[2199] = vX_[1564] * vX_[316] + vX_[1589] * vX_[235];
+ vX_[1757] = vX_[2311] * vX_[967] + vX_[2088] * vX_[237] + vX_[2199] * vX_[968];
+ vX_[2092] = vX_[2311] * vX_[953] + vX_[2088] * vX_[265] + vX_[2199] * vX_[283];
+ vX_[2274] = vX_[1757] * 1 / vX_[262];
+ vX_[2180] = vX_[2092] * 1 / vX_[262];
+ vX_[2216] = vX_[2199] * 1 / vX_[262];
+ vX_[2767] = vX_[2311] * 1 / vX_[313];
+ vX_[2310] = vX_[1627] * vX_[316] + vX_[1455] * vX_[235] + vX_[1564] * vX_[330] + vX_[1589] * vX_[328] + vX_[1495] * vX_[935];
+ vX_[1605] = vX_[2310] * 1 / vX_[313];
+ vX_[2157] = vX_[2088] * 1 / vX_[313];
+ vX_[1858] = vX_[1495] * 1 / vX_[313];
+ vX_[2062] = vX_[2199] * 1 / vX_[313];
+ vX_[2087] = vX_[1564] * vX_[329] + vX_[1589] * vX_[316];
+ vX_[2461] = vX_[2087] * 1 / vX_[313];
+ vX_[1944] = vX_[1495] - (vX_[2767] * vX_[325] + vX_[1605] * vX_[287] + vX_[2157] * vX_[278] + vX_[1858] * vX_[313] + vX_[2062] * vX_[338] + vX_[2461] * vX_[347]);
+ vX_[2052] = vX_[1944] * vX_[266] + vX_[2087] * vX_[238];
+ vX_[2064] = vX_[2052] * 1 / vX_[262];
+ vX_[1947] = vX_[1944] * vX_[238] + vX_[2087] * vX_[265];
+ vX_[2085] = vX_[1947] * 1 / vX_[262];
+ vX_[2013] = vX_[2199] - (vX_[2274] * vX_[273] + vX_[2180] * vX_[260] + vX_[2216] * vX_[262] + vX_[2064] * vX_[269] + vX_[2085] * vX_[250]);
+ vX_[2467] = vX_[1757] * vX_[241] + vX_[2092] * vX_[239] + vX_[2013] * vX_[244];
+ vX_[3110] = vX_[1757] * vX_[239] + vX_[2092] * vX_[977] + vX_[2013] * vX_[978];
+ vX_[2677] = vX_[2013] - (vX_[3110] * 38.1956380581338 * 0.1104774 + vX_[2467] * 38.1956380581338 * -0.0004405 + vX_[2013] * 38.1956380581338 * 0.026181);
+ vX_[2178] = vX_[2052] * vX_[239] + vX_[1947] * vX_[242];
+ vX_[2202] = vX_[2467] * 0.881 + (0 - vX_[2677]) * 0.0004405 + vX_[2178] * -8.81e-05;
+ vX_[2447] = vX_[3110] * -0.881;
+ vX_[2371] = vX_[2677] * 0.1104774;
+ vX_[2181] = vX_[2052] * vX_[241] + vX_[1947] * vX_[239];
+ vX_[2213] = vX_[2181] * -8.81e-05;
+ vX_[662] = vX_[2447] - vX_[2371] + vX_[2213];
+ vX_[2367] = vX_[2202] * vX_[975] + vX_[662] * vX_[972];
+ vX_[2796] = vX_[2092] * 3.146 + (0 - vX_[2013]) * -0.0825825;
+ vX_[2208] = vX_[1757] * -3.146;
+ vX_[2182] = vX_[2013] * 0.47422804;
+ vX_[2012] = vX_[2208] - vX_[2182];
+ vX_[2226] = vX_[2367] + vX_[2796] * vX_[963] + vX_[2012] * vX_[960];
+ vX_[372] = vX_[2088] * 3.44 + vX_[2199] * -0.5824264;
+ vX_[1509] = 0 - vX_[372];
+ vX_[1767] = vX_[2311] * 3.44 + (0 - vX_[2199]) * 0.1466472;
+ vX_[1872] = vX_[2311] * vX_[332] + vX_[2310] * vX_[315] + vX_[2088] * vX_[324] + vX_[2199] * vX_[503] + vX_[2087] * vX_[556];
+ vX_[1678] = vX_[2226] + vX_[1509] * vX_[840] + vX_[1767] * vX_[950] + vX_[1872] * x_in[27];
+ vX_[1873] = 0 - vX_[2202];
+ vX_[2213] = 0 - vX_[2447] + vX_[2371] - vX_[2213];
+ vX_[2371] = vX_[2310] + vX_[1944] * 0.08;
+ vX_[2447] = vX_[2371] + vX_[2052] * -0.35;
+ vX_[1834] = vX_[2447] * 0.0004405 + vX_[3110] * -8.81e-05 + vX_[2181] * -0.000227999999999999;
+ vX_[1868] = vX_[2447] * 0.1104774 + vX_[2467] * -8.81e-05 + (0 - vX_[2178]) * 0.025713;
+ vX_[1784] = (0 - vX_[3110]) * 0.0004405;
+ vX_[787] = (0 - vX_[2467]) * 0.1104774;
+ vX_[1684] = vX_[1784] + vX_[787];
+ vX_[1684] = vX_[1873] * vX_[979] + vX_[2213] * vX_[970] + vX_[1834] * vX_[975] + vX_[1868] * vX_[972] + vX_[1684] * vX_[966] + vX_[1684] * vX_[966];
+ vX_[1906] = vX_[2447] * 0.881 + (0 - vX_[2178]) * 0.1104774 + vX_[2181] * 0.0004405;
+ vX_[1912] = vX_[3110] * 0.00185880198235362 + vX_[2467] * 0.880992588508842 + vX_[2178] * -8.81e-05;
+ vX_[1873] = vX_[1873] * vX_[966] + vX_[1906] * vX_[972] + vX_[1912] * x_in[29];
+ vX_[1880] = 0 - vX_[1906];
+ vX_[1917] = vX_[3110] * 0.414812462825713 + vX_[2467] * 0.00185880198235362 + vX_[2181] * 8.81e-05;
+ vX_[2213] = vX_[2213] * vX_[966] + vX_[1880] * vX_[975] - vX_[1917] * x_in[29];
+ vX_[1884] = 0 - vX_[2796];
+ vX_[2182] = 0 - vX_[2208] + vX_[2182];
+ vX_[2208] = vX_[2371] * -0.0825825 + (0 - vX_[2013]) * 0.000102 + vX_[2052] * 0.007418 + vX_[1947] * 0.002735;
+ vX_[1883] = vX_[2371] * 0.47422804 + vX_[2013] * 2.1e-05 + (0 - vX_[2052]) * 0.084376 + (0 - vX_[1947]) * 0.007418;
+ vX_[1640] = (0 - vX_[1757]) * -0.0825825;
+ vX_[1787] = (0 - vX_[2092]) * 0.47422804;
+ vX_[1785] = vX_[2052] * 0.000102;
+ vX_[1606] = (0 - vX_[1947]) * 2.1e-05;
+ vX_[1736] = vX_[1640] + vX_[1787] + vX_[1785] + vX_[1606];
+ vX_[1736] = vX_[1684] + vX_[1873] * vX_[978] + vX_[2213] * vX_[244] + vX_[1884] * vX_[969] + vX_[2182] * vX_[958] + vX_[2208] * vX_[963] + vX_[1883] * vX_[960] + vX_[1736] * vX_[952] + vX_[1736] * vX_[952];
+ vX_[1737] = vX_[2371] * 3.146 + (0 - vX_[2052]) * 0.47422804 + vX_[1947] * -0.0825825;
+ vX_[1475] = vX_[1757] * vX_[292] + vX_[2092] * vX_[291] + vX_[2052] * vX_[270] + vX_[1947] * vX_[264];
+ vX_[1884] = vX_[1873] * vX_[239] + vX_[2213] * vX_[241] + vX_[1884] * vX_[952] + vX_[1737] * vX_[960] + vX_[1475] * x_in[28];
+ vX_[1771] = 0 - vX_[1737];
+ vX_[1378] = vX_[1757] * vX_[290] + vX_[2092] * vX_[292] + vX_[2052] * vX_[276] + vX_[1947] * vX_[275];
+ vX_[2182] = vX_[1873] * vX_[977] + vX_[2213] * vX_[239] + vX_[2182] * vX_[952] + vX_[1771] * vX_[963] - vX_[1378] * x_in[28];
+ vX_[1730] = 0 - vX_[1767];
+ vX_[1480] = vX_[2310] * -0.5824264 + (0 - vX_[1944]) * 0.022734 + vX_[2199] * 3.6e-05 + vX_[2087] * -0.133138;
+ vX_[1602] = vX_[2310] * 0.1466472 + vX_[1944] * 0.009466 + (0 - vX_[2199]) * -5.1e-05 + vX_[2087] * 0.022734;
+ vX_[1585] = (0 - vX_[2311]) * -0.5824264;
+ vX_[1625] = (0 - vX_[2088]) * 0.1466472;
+ vX_[1587] = (0 - vX_[1944]) * 3.6e-05;
+ vX_[1723] = (0 - vX_[2087]) * -5.1e-05;
+ vX_[1728] = vX_[1585] + vX_[1625] + vX_[1587] - vX_[1723];
+ vX_[1344] = vX_[2311] * vX_[348] + vX_[2310] * vX_[502] + vX_[2088] * vX_[556] + vX_[2199] * vX_[555] + vX_[2087] * vX_[312];
+ vX_[1728] = vX_[1736] + vX_[1884] * vX_[968] + vX_[2182] * vX_[283] + vX_[372] * vX_[846] + vX_[1730] * vX_[957] + vX_[1480] * vX_[840] + vX_[1602] * vX_[950] + vX_[1728] * vX_[937] + vX_[1728] * vX_[937] + vX_[1344] * x_in[27];
+ vX_[1734] = vX_[1674] - vX_[1692];
+ vX_[1671] = vX_[1734] * vX_[316] + vX_[1904] * vX_[235];
+ vX_[1714] = vX_[1734] * vX_[329] + vX_[1904] * vX_[316];
+ vX_[1550] = vX_[1714] + vX_[3413];
+ vX_[1763] = vX_[1671] * vX_[329] + vX_[1550] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1759] = 0 - vX_[1763];
+ vX_[1610] = vX_[1692] + vX_[1671] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1645] = 0 - vX_[1610];
+ vX_[1689] = vX_[1692] + vX_[1714] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[1580] = vX_[1705] + vX_[1533] - vX_[2089];
+ vX_[1724] = vX_[2009] * vX_[316] + vX_[2089] * vX_[235];
+ vX_[1584] = 0 - (vX_[1580] * vX_[329] + vX_[2011] * vX_[316]) + vX_[1724];
+ vX_[1740] = vX_[1584] + vX_[1610] * vX_[317];
+ vX_[1729] = 0 - vX_[1740];
+ vX_[1765] = vX_[2009] * vX_[329] + vX_[2089] * vX_[316];
+ vX_[1735] = vX_[1580] * vX_[316] + vX_[2011] * vX_[235] + vX_[1765];
+ vX_[1770] = 0 - vX_[1689];
+ vX_[1739] = vX_[1735] + vX_[1763] * vX_[317] + vX_[1770] * vX_[236];
+ vX_[1738] = vX_[1665] + vX_[1661];
+ vX_[1559] = vX_[2065] * vX_[316] + vX_[1738] * vX_[329];
+ vX_[1641] = vX_[1559] * vX_[316] + vX_[2019] * vX_[235];
+ vX_[1613] = vX_[1590] + vX_[1682];
+ vX_[401] = 0 - vX_[401];
+ vX_[1548] = vX_[1613] * vX_[329] + vX_[401] * vX_[316];
+ vX_[1438] = 0 - vX_[1548];
+ vX_[1560] = vX_[1641] + vX_[1438] * vX_[236] + vX_[1645] * vX_[331];
+ vX_[1549] = 0 - vX_[1560];
+ vX_[1446] = vX_[2065] * vX_[235] + vX_[1738] * vX_[316];
+ vX_[1247] = vX_[1446] * vX_[329] + vX_[1881] * vX_[316];
+ vX_[1599] = vX_[1613] * vX_[316] + vX_[522] * vX_[235];
+ vX_[1379] = 0 - vX_[1599];
+ vX_[1471] = vX_[1247] + vX_[1379] * vX_[317] + vX_[1689] * vX_[331];
+ vX_[1454] = vX_[1446] * vX_[316] + vX_[1881] * vX_[235];
+ vX_[1494] = vX_[1454] + vX_[1548] * vX_[317];
+ vX_[1456] = vX_[1559] * vX_[329] + vX_[2019] * vX_[316];
+ vX_[1592] = vX_[1456] + vX_[1599] * vX_[236] + vX_[1759] * vX_[331];
+ vX_[1597] = 0 - vX_[1494] + vX_[1592];
+ vX_[1112] = 0 - vX_[1763];
+ vX_[1603] = 0 - vX_[1610];
+ vX_[1645] = vX_[1759] * vX_[559] + vX_[1645] * vX_[505] + vX_[1689] * vX_[295] + vX_[1729] * vX_[332] + vX_[1739] * vX_[343] + vX_[1549] * vX_[324] + vX_[1471] * vX_[318] + vX_[1597] * vX_[315] + vX_[1763] * vX_[553] + vX_[1112] * vX_[556] + vX_[1603] * vX_[504] + vX_[1689] * vX_[508];
+ vX_[1759] = vX_[2310] * -3.44;
+ vX_[1540] = vX_[1944] * 0.1466472;
+ vX_[1583] = vX_[2087] * -0.5824264;
+ vX_[1419] = 0 - vX_[1759] + vX_[1540] - vX_[1583];
+ vX_[1632] = vX_[2311] * vX_[343] + vX_[2310] * vX_[318] + vX_[2088] * vX_[315] + vX_[2199] * vX_[553] + vX_[2087] * vX_[502];
+ vX_[1730] = vX_[1884] * vX_[237] + vX_[2182] * vX_[265] + vX_[1419] * vX_[840] + vX_[1730] * vX_[937] - vX_[1632] * x_in[27];
+ vX_[1628] = vX_[1674] + vX_[1693] + vX_[1692] - vX_[1610] - vX_[1689];
+ vX_[1479] = 0 - vX_[1628];
+ vX_[1724] = vX_[1724] + vX_[1479] * vX_[317];
+ vX_[1765] = vX_[1765] + vX_[1628] * vX_[236];
+ vX_[1514] = 0 - vX_[1739];
+ vX_[1558] = 0 - vX_[1471];
+ vX_[1449] = vX_[1707] + vX_[1703] + vX_[1738] + vX_[2060] - vX_[1454] - vX_[1456];
+ vX_[1592] = vX_[1449] - vX_[1592];
+ vX_[1593] = 0 - vX_[1548];
+ vX_[1453] = 0 - vX_[1763];
+ vX_[1609] = 0 - vX_[1689];
+ vX_[1598] = vX_[1656] - vX_[1622];
+ vX_[1634] = vX_[1670] + vX_[1669];
+ vX_[1604] = vX_[1598] * vX_[316] + vX_[1874] * vX_[235];
+ vX_[1639] = vX_[1598] * vX_[329] + vX_[1874] * vX_[316];
+ vX_[2677] = vX_[3110] * 0.1104774 + vX_[2467] * 0.0004405 + vX_[2677] * 0.025941;
+ vX_[1608] = (0 - vX_[2447]) * -8.81e-05;
+ vX_[787] = vX_[1608] + vX_[787];
+ vX_[2181] = vX_[2447] * 0.0004405 + vX_[3110] * 8.81e-05 + vX_[2181] * 0.000468;
+ vX_[787] = vX_[2202] * vX_[973] + vX_[1880] * vX_[970] + vX_[1834] * vX_[966] + vX_[2677] * vX_[972] + vX_[787] * vX_[975] + vX_[787] * vX_[975] + vX_[2181] * x_in[29];
+ vX_[1608] = vX_[1608] + vX_[1784];
+ vX_[2447] = vX_[2447] * -0.1104774 + vX_[2467] * -8.81e-05 + vX_[2178] * 0.026409;
+ jac[1067] = vX_[1917] * vX_[984] + vX_[1912] * vX_[979] + vX_[2447] * vX_[992] + vX_[2181] * vX_[975] + vX_[1684];
+ vX_[2447] = vX_[662] * vX_[973] + vX_[1906] * vX_[979] + vX_[1868] * vX_[966] + vX_[2677] * vX_[975] + vX_[1608] * vX_[972] + vX_[1608] * vX_[972] - vX_[2447] * x_in[29];
+ vX_[1608] = vX_[1757] * 0.47422804 + vX_[2092] * -0.0825825 + vX_[2013] * 0.081641 + (0 - vX_[2052]) * 2.1e-05 + vX_[1947] * 0.000102;
+ vX_[2677] = (0 - vX_[2013]) * 0.007418;
+ vX_[1606] = vX_[1787] + vX_[2677] - vX_[1606];
+ vX_[1787] = vX_[2371] * vX_[259] + vX_[1757] * vX_[275] + vX_[2092] * vX_[264] + vX_[2052] * vX_[307] + vX_[1947] * vX_[303];
+ vX_[1606] = vX_[2367] * -0.35 + vX_[787] * vX_[239] + vX_[2447] * vX_[241] + vX_[2796] * vX_[961] + vX_[1771] * vX_[958] + vX_[2208] * vX_[952] + vX_[1608] * vX_[960] + vX_[1606] * vX_[963] + vX_[1606] * vX_[963] + vX_[1787] * x_in[28];
+ vX_[2677] = vX_[1640] - vX_[2677] - vX_[1785];
+ vX_[1785] = vX_[2371] * vX_[272] + vX_[1757] * vX_[276] + vX_[2092] * vX_[270] + vX_[2052] * vX_[301] + vX_[1947] * vX_[307];
+ jac[1031] = vX_[1378] * vX_[1002] + vX_[1475] * vX_[969] + vX_[1785] * vX_[999] + vX_[1787] * vX_[963] + vX_[1736];
+ vX_[1785] = vX_[787] * vX_[242] + vX_[2447] * vX_[239] + vX_[2012] * vX_[961] + vX_[1737] * vX_[969] + vX_[1883] * vX_[952] + vX_[1608] * vX_[963] + vX_[2677] * vX_[960] + vX_[2677] * vX_[960] - vX_[1785] * x_in[28];
+ vX_[1583] = vX_[1759] - vX_[1540] + vX_[1583];
+ vX_[1540] = vX_[2311] * 0.1466472 + vX_[2088] * -0.5824264 + vX_[1944] * -5.1e-05 + (0 - vX_[2199]) * -0.123672 + (0 - vX_[2087]) * 3.6e-05;
+ vX_[1759] = vX_[2199] * 0.022734;
+ vX_[1587] = vX_[1585] - vX_[1587] - vX_[1759];
+ vX_[1585] = vX_[2311] * vX_[286] + vX_[2310] * vX_[553] + vX_[2088] * vX_[503] + vX_[2199] * vX_[501] + vX_[2087] * vX_[555];
+ vX_[1587] = vX_[1606] * vX_[238] + vX_[1785] * vX_[265] + vX_[1583] * vX_[846] + vX_[1767] * vX_[934] + vX_[1540] * vX_[840] + vX_[1602] * vX_[937] + vX_[1587] * vX_[950] + vX_[1587] * vX_[950] - vX_[1585] * x_in[27];
+ vX_[789] = 0 - vX_[789];
+ vX_[1602] = vX_[1639] + vX_[1792];
+ vX_[1767] = 0 - vX_[1724];
+ vX_[2677] = 0 - vX_[1765];
+ vX_[1449] = 0 - vX_[1449] + vX_[1494];
+ vX_[1494] = 0 - vX_[1599];
+ jac[347] = 0 - (vX_[1455] * vX_[993] + vX_[1589] * vX_[982] + vX_[1870] * vX_[673] + vX_[1874] * vX_[675] + vX_[1817] * vX_[332] + vX_[1792] * vX_[233] + vX_[1789] * vX_[315] + vX_[2065] * vX_[640] + vX_[2089] * vX_[340] + vX_[2060] * vX_[614] + vX_[1881] * vX_[558] + vX_[2019] * vX_[616] + vX_[2011] * vX_[349] + vX_[1901] * vX_[563] + vX_[1904] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[1678] * x_in[22] + vX_[1728] * x_in[19] + (vX_[1564] * vX_[993] + vX_[1645] * vX_[329] + vX_[1678] * x_in[20]) * 0.3735 - (vX_[1627] * vX_[1017] + vX_[1730] * x_in[23]) + (vX_[1589] * vX_[1017] + vX_[1730] * x_in[19]) * 0.3735 + (vX_[1495] * vX_[1017] + vX_[1438] * vX_[505] + vX_[1599] * vX_[559] + vX_[1628] * vX_[342] + vX_[1770] * vX_[344] + vX_[1724] * vX_[315] + vX_[1765] * vX_[324] + vX_[1514] * vX_[327] + vX_[1558] * vX_[343] + vX_[1592] * vX_[332] + vX_[1593] * vX_[503] + vX_[1599] * vX_[556] + vX_[1453] * vX_[286] + vX_[1609] * vX_[510] + vX_[1730] * x_in[18]) * 0.207 - (vX_[1564] * vX_[987] + vX_[1598] * vX_[672] + vX_[1634] * vX_[652] + vX_[1604] * vX_[315] + vX_[1639] * vX_[123] + vX_[1862] * vX_[617] + vX_[2009] * vX_[350] + vX_[1738] * vX_[639] + vX_[1446] * vX_[613] + vX_[1559] * vX_[615] + vX_[1580] * vX_[339] + vX_[1734] * vX_[562] + vX_[1613] * vX_[592] + vX_[1671] * vX_[560] + vX_[1714] * vX_[511] + vX_[1645] * vX_[330] + vX_[1587] * x_in[20])) * vX_[746] + (vX_[1627] * vX_[993] + vX_[1455] * vX_[1017] + vX_[1564] * vX_[982] + vX_[1589] * vX_[987] + vX_[1598] * vX_[675] + vX_[1870] * vX_[671] + vX_[1874] * vX_[672] + vX_[1634] * vX_[332] + vX_[789] * vX_[652] + vX_[1604] * vX_[233] + vX_[1602] * vX_[315] + vX_[1789] * vX_[123] + vX_[2065] * vX_[639] + vX_[1862] * vX_[614] + vX_[2009] * vX_[340] + vX_[2089] * vX_[350] + vX_[1738] * vX_[640] + vX_[2060] * vX_[617] + vX_[1446] * vX_[558] + vX_[1559] * vX_[616] + vX_[1881] * vX_[613] + vX_[2019] * vX_[615] + vX_[1580] * vX_[349] + vX_[2011] * vX_[339] + vX_[1734] * vX_[565] + vX_[1901] * vX_[561] + vX_[1904] * vX_[562] + vX_[1613] * vX_[593] + vX_[401] * vX_[592] + vX_[1671] * vX_[507] + vX_[1550] * vX_[560] + vX_[3453] * vX_[511] + vX_[1645] * vX_[328] + (vX_[1548] * vX_[557] + vX_[1379] * vX_[295] + vX_[1763] * vX_[344] + vX_[1479] * vX_[319] + vX_[1610] * vX_[333] + vX_[1767] * vX_[318] + vX_[1740] * vX_[327] + vX_[2677] * vX_[315] + vX_[1560] * vX_[332] + vX_[1449] * vX_[343] + vX_[1548] * vX_[553] + vX_[1494] * vX_[502] + vX_[1763] * vX_[348] + vX_[1610] * vX_[499]) * 0.207 + vX_[1678] * x_in[23] + vX_[1730] * x_in[22] + vX_[1728] * x_in[20] + vX_[1587] * x_in[19] + (vX_[1589] * vX_[993] + vX_[1645] * vX_[316] + vX_[1678] * x_in[19]) * -0.3735 + (vX_[1495] * vX_[993] + vX_[1678] * x_in[18]) * -0.207 + (vX_[1564] * vX_[1017] + vX_[1730] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[1598] = vX_[1818] - vX_[1591];
+ vX_[1479] = vX_[1690] + vX_[1813];
+ vX_[1628] = vX_[1679] + vX_[1820];
+ vX_[1645] = 0 - vX_[1628];
+ vX_[1379] = vX_[1598] * vX_[235];
+ vX_[1446] = vX_[1598] * vX_[316];
+ vX_[1438] = vX_[1717] + vX_[1816];
+ vX_[401] = vX_[1843] + vX_[1849];
+ vX_[1613] = vX_[1722] + vX_[1814];
+ vX_[1559] = vX_[1667] + vX_[1750];
+ vX_[1738] = vX_[1559] * vX_[316] + vX_[1613] * vX_[235];
+ vX_[1770] = vX_[1559] * vX_[329] + vX_[1613] * vX_[316];
+ vX_[1580] = vX_[1833] + vX_[1848];
+ vX_[1550] = 0 - (vX_[1697] + vX_[1691]) + vX_[1580];
+ vX_[1714] = vX_[1841] - vX_[1776];
+ vX_[1671] = vX_[1719] + vX_[1812];
+ vX_[1734] = vX_[1854] + vX_[1851];
+ vX_[3453] = 0 - vX_[1734];
+ vX_[3413] = vX_[1714] * vX_[235];
+ vX_[522] = vX_[1714] * vX_[316];
+ vX_[1904] = vX_[1720] + vX_[1718] * 0.207;
+ vX_[1901] = vX_[1577] * vX_[956] + vX_[1698] * vX_[316] + vX_[1718] * vX_[954] + vX_[1708] * vX_[955] + vX_[1374] * vX_[236];
+ vX_[2011] = vX_[1718] * vX_[316] + vX_[1708] * vX_[235];
+ vX_[2009] = vX_[1904] * vX_[967] + vX_[1901] * vX_[237] + vX_[2011] * vX_[968];
+ vX_[2019] = vX_[1904] * vX_[953] + vX_[1901] * vX_[265] + vX_[2011] * vX_[283];
+ vX_[1881] = vX_[2009] * 1 / vX_[262];
+ vX_[1862] = vX_[2019] * 1 / vX_[262];
+ vX_[2060] = vX_[2011] * 1 / vX_[262];
+ vX_[2089] = vX_[1904] * 1 / vX_[313];
+ vX_[2065] = vX_[1577] * vX_[316] + vX_[1698] * vX_[235] + vX_[1718] * vX_[330] + vX_[1708] * vX_[328] + vX_[1374] * vX_[935];
+ vX_[1874] = vX_[2065] * 1 / vX_[313];
+ vX_[1870] = vX_[1901] * 1 / vX_[313];
+ vX_[1608] = vX_[1374] * 1 / vX_[313];
+ vX_[1737] = vX_[2011] * 1 / vX_[313];
+ vX_[1883] = vX_[1718] * vX_[329] + vX_[1708] * vX_[316];
+ vX_[2012] = vX_[1883] * 1 / vX_[313];
+ vX_[1787] = vX_[1374] - (vX_[2089] * vX_[325] + vX_[1874] * vX_[287] + vX_[1870] * vX_[278] + vX_[1608] * vX_[313] + vX_[1737] * vX_[338] + vX_[2012] * vX_[347]);
+ vX_[1378] = vX_[1787] * vX_[266] + vX_[1883] * vX_[238];
+ vX_[1475] = vX_[1378] * 1 / vX_[262];
+ vX_[1736] = vX_[1787] * vX_[238] + vX_[1883] * vX_[265];
+ vX_[1640] = vX_[1736] * 1 / vX_[262];
+ vX_[1771] = vX_[2011] - (vX_[1881] * vX_[273] + vX_[1862] * vX_[260] + vX_[2060] * vX_[262] + vX_[1475] * vX_[269] + vX_[1640] * vX_[250]);
+ vX_[2208] = vX_[2009] * vX_[241] + vX_[2019] * vX_[239] + vX_[1771] * vX_[244];
+ vX_[2796] = vX_[2009] * vX_[239] + vX_[2019] * vX_[977] + vX_[1771] * vX_[978];
+ vX_[2367] = vX_[1771] - (vX_[2796] * 38.1956380581338 * 0.1104774 + vX_[2208] * 38.1956380581338 * -0.0004405 + vX_[1771] * 38.1956380581338 * 0.026181);
+ vX_[1906] = vX_[1378] * vX_[239] + vX_[1736] * vX_[242];
+ vX_[1868] = vX_[2208] * 0.881 + (0 - vX_[2367]) * 0.0004405 + vX_[1906] * -8.81e-05;
+ vX_[662] = vX_[2796] * -0.881;
+ vX_[2181] = vX_[2367] * 0.1104774;
+ vX_[1917] = vX_[1378] * vX_[241] + vX_[1736] * vX_[239];
+ vX_[1912] = vX_[1917] * -8.81e-05;
+ vX_[1684] = vX_[662] - vX_[2181] + vX_[1912];
+ vX_[2178] = vX_[1868] * vX_[975] + vX_[1684] * vX_[972];
+ vX_[2467] = vX_[2019] * 3.146 + (0 - vX_[1771]) * -0.0825825;
+ vX_[1784] = vX_[2009] * -3.146;
+ vX_[1880] = vX_[1771] * 0.47422804;
+ vX_[1834] = vX_[1784] - vX_[1880];
+ vX_[2202] = vX_[2178] + vX_[2467] * vX_[963] + vX_[1834] * vX_[960];
+ vX_[3110] = vX_[1901] * 3.44 + vX_[2011] * -0.5824264;
+ vX_[1607] = 0 - vX_[3110];
+ vX_[1428] = vX_[1904] * 3.44 + (0 - vX_[2011]) * 0.1466472;
+ vX_[1510] = vX_[1904] * vX_[332] + vX_[2065] * vX_[315] + vX_[1901] * vX_[324] + vX_[2011] * vX_[503] + vX_[1883] * vX_[556];
+ vX_[1482] = vX_[2202] + vX_[1607] * vX_[840] + vX_[1428] * vX_[950] + vX_[1510] * x_in[27];
+ vX_[1417] = 0 - vX_[1868];
+ vX_[1912] = 0 - vX_[662] + vX_[2181] - vX_[1912];
+ vX_[2181] = vX_[2065] + vX_[1787] * 0.08;
+ vX_[662] = vX_[2181] + vX_[1378] * -0.35;
+ vX_[1315] = vX_[662] * 0.0004405 + vX_[2796] * -8.81e-05 + vX_[1917] * -0.000227999999999999;
+ vX_[1429] = vX_[662] * 0.1104774 + vX_[2208] * -8.81e-05 + (0 - vX_[1906]) * 0.025713;
+ vX_[1418] = (0 - vX_[2796]) * 0.0004405;
+ vX_[1329] = (0 - vX_[2208]) * 0.1104774;
+ vX_[1380] = vX_[1418] + vX_[1329];
+ vX_[1380] = vX_[1417] * vX_[979] + vX_[1912] * vX_[970] + vX_[1315] * vX_[975] + vX_[1429] * vX_[972] + vX_[1380] * vX_[966] + vX_[1380] * vX_[966];
+ vX_[1468] = vX_[662] * 0.881 + (0 - vX_[1906]) * 0.1104774 + vX_[1917] * 0.0004405;
+ vX_[1129] = vX_[2796] * 0.00185880198235362 + vX_[2208] * 0.880992588508842 + vX_[1906] * -8.81e-05;
+ vX_[1417] = vX_[1417] * vX_[966] + vX_[1468] * vX_[972] + vX_[1129] * x_in[29];
+ vX_[1340] = 0 - vX_[1468];
+ vX_[1323] = vX_[2796] * 0.414812462825713 + vX_[2208] * 0.00185880198235362 + vX_[1917] * 8.81e-05;
+ vX_[1912] = vX_[1912] * vX_[966] + vX_[1340] * vX_[975] - vX_[1323] * x_in[29];
+ vX_[1363] = 0 - vX_[2467];
+ vX_[1880] = 0 - vX_[1784] + vX_[1880];
+ vX_[1784] = vX_[2181] * -0.0825825 + (0 - vX_[1771]) * 0.000102 + vX_[1378] * 0.007418 + vX_[1736] * 0.002735;
+ vX_[1324] = vX_[2181] * 0.47422804 + vX_[1771] * 2.1e-05 + (0 - vX_[1378]) * 0.084376 + (0 - vX_[1736]) * 0.007418;
+ vX_[1461] = (0 - vX_[2009]) * -0.0825825;
+ vX_[1466] = (0 - vX_[2019]) * 0.47422804;
+ vX_[1127] = vX_[1378] * 0.000102;
+ vX_[1472] = (0 - vX_[1736]) * 2.1e-05;
+ vX_[1409] = vX_[1461] + vX_[1466] + vX_[1127] + vX_[1472];
+ vX_[1409] = vX_[1380] + vX_[1417] * vX_[978] + vX_[1912] * vX_[244] + vX_[1363] * vX_[969] + vX_[1880] * vX_[958] + vX_[1784] * vX_[963] + vX_[1324] * vX_[960] + vX_[1409] * vX_[952] + vX_[1409] * vX_[952];
+ vX_[1452] = vX_[2181] * 3.146 + (0 - vX_[1378]) * 0.47422804 + vX_[1736] * -0.0825825;
+ vX_[1126] = vX_[2009] * vX_[292] + vX_[2019] * vX_[291] + vX_[1378] * vX_[270] + vX_[1736] * vX_[264];
+ vX_[1363] = vX_[1417] * vX_[239] + vX_[1912] * vX_[241] + vX_[1363] * vX_[952] + vX_[1452] * vX_[960] + vX_[1126] * x_in[28];
+ vX_[1501] = 0 - vX_[1452];
+ vX_[1497] = vX_[2009] * vX_[290] + vX_[2019] * vX_[292] + vX_[1378] * vX_[276] + vX_[1736] * vX_[275];
+ vX_[1880] = vX_[1417] * vX_[977] + vX_[1912] * vX_[239] + vX_[1880] * vX_[952] + vX_[1501] * vX_[963] - vX_[1497] * x_in[28];
+ vX_[1259] = 0 - vX_[1428];
+ vX_[1351] = vX_[2065] * -0.5824264 + (0 - vX_[1787]) * 0.022734 + vX_[2011] * 3.6e-05 + vX_[1883] * -0.133138;
+ vX_[1427] = vX_[2065] * 0.1466472 + vX_[1787] * 0.009466 + (0 - vX_[2011]) * -5.1e-05 + vX_[1883] * 0.022734;
+ vX_[1348] = (0 - vX_[1904]) * -0.5824264;
+ vX_[1462] = (0 - vX_[1901]) * 0.1466472;
+ vX_[1304] = (0 - vX_[1787]) * 3.6e-05;
+ vX_[1478] = (0 - vX_[1883]) * -5.1e-05;
+ vX_[1467] = vX_[1348] + vX_[1462] + vX_[1304] - vX_[1478];
+ vX_[1503] = vX_[1904] * vX_[348] + vX_[2065] * vX_[502] + vX_[1901] * vX_[556] + vX_[2011] * vX_[555] + vX_[1883] * vX_[312];
+ vX_[1467] = vX_[1409] + vX_[1363] * vX_[968] + vX_[1880] * vX_[283] + vX_[3110] * vX_[846] + vX_[1259] * vX_[957] + vX_[1351] * vX_[840] + vX_[1427] * vX_[950] + vX_[1467] * vX_[937] + vX_[1467] * vX_[937] + vX_[1503] * x_in[27];
+ vX_[1473] = vX_[1823] - vX_[1776];
+ vX_[1508] = vX_[1473] * vX_[316] + vX_[1671] * vX_[235];
+ vX_[1477] = vX_[1473] * vX_[329] + vX_[1671] * vX_[316];
+ vX_[1476] = vX_[1477] + vX_[3413];
+ vX_[1196] = vX_[1508] * vX_[329] + vX_[1476] * vX_[316] + vX_[522] * vX_[235];
+ vX_[788] = 0 - vX_[1196];
+ vX_[1349] = vX_[1776] + vX_[1508] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1297] = 0 - vX_[1349];
+ vX_[1286] = vX_[1776] + vX_[1477] * vX_[329] + vX_[522] * vX_[316];
+ vX_[1195] = vX_[1715] + vX_[1343] - vX_[401];
+ vX_[1298] = vX_[1580] * vX_[316] + vX_[401] * vX_[235];
+ vX_[1287] = 0 - (vX_[1195] * vX_[329] + vX_[1550] * vX_[316]) + vX_[1298];
+ vX_[1220] = vX_[1287] + vX_[1349] * vX_[317];
+ vX_[1337] = 0 - vX_[1220];
+ vX_[792] = vX_[1580] * vX_[329] + vX_[401] * vX_[316];
+ vX_[1209] = vX_[1195] * vX_[316] + vX_[1550] * vX_[235] + vX_[792];
+ vX_[1192] = 0 - vX_[1286];
+ vX_[1232] = vX_[1209] + vX_[1196] * vX_[317] + vX_[1192] * vX_[236];
+ vX_[1173] = vX_[1569] + vX_[1815];
+ vX_[1330] = vX_[1438] * vX_[316] + vX_[1173] * vX_[329];
+ vX_[1335] = vX_[1330] * vX_[316] + vX_[1770] * vX_[235];
+ vX_[1114] = vX_[1664] + vX_[1831];
+ vX_[1734] = 0 - vX_[1734];
+ vX_[1341] = vX_[1114] * vX_[329] + vX_[1734] * vX_[316];
+ vX_[1278] = 0 - vX_[1341];
+ vX_[1321] = vX_[1335] + vX_[1278] * vX_[236] + vX_[1297] * vX_[331];
+ vX_[1187] = 0 - vX_[1321];
+ vX_[1370] = vX_[1438] * vX_[235] + vX_[1173] * vX_[316];
+ vX_[1366] = vX_[1370] * vX_[329] + vX_[1738] * vX_[316];
+ vX_[1252] = vX_[1114] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1248] = 0 - vX_[1252];
+ vX_[1296] = vX_[1366] + vX_[1248] * vX_[317] + vX_[1286] * vX_[331];
+ vX_[1249] = vX_[1370] * vX_[316] + vX_[1738] * vX_[235];
+ vX_[1331] = vX_[1249] + vX_[1341] * vX_[317];
+ vX_[1174] = vX_[1330] * vX_[329] + vX_[1770] * vX_[316];
+ vX_[1347] = vX_[1174] + vX_[1252] * vX_[236] + vX_[788] * vX_[331];
+ vX_[1336] = 0 - vX_[1331] + vX_[1347];
+ vX_[1372] = 0 - vX_[1196];
+ vX_[1342] = 0 - vX_[1349];
+ vX_[1297] = vX_[788] * vX_[559] + vX_[1297] * vX_[505] + vX_[1286] * vX_[295] + vX_[1337] * vX_[332] + vX_[1232] * vX_[343] + vX_[1187] * vX_[324] + vX_[1296] * vX_[318] + vX_[1336] * vX_[315] + vX_[1196] * vX_[553] + vX_[1372] * vX_[556] + vX_[1342] * vX_[504] + vX_[1286] * vX_[508];
+ vX_[788] = vX_[2065] * -3.44;
+ vX_[1377] = vX_[1787] * 0.1466472;
+ vX_[1346] = vX_[1883] * -0.5824264;
+ vX_[1345] = 0 - vX_[788] + vX_[1377] - vX_[1346];
+ vX_[1167] = vX_[1904] * vX_[343] + vX_[2065] * vX_[318] + vX_[1901] * vX_[315] + vX_[2011] * vX_[553] + vX_[1883] * vX_[502];
+ vX_[1259] = vX_[1363] * vX_[237] + vX_[1880] * vX_[265] + vX_[1345] * vX_[840] + vX_[1259] * vX_[937] - vX_[1167] * x_in[27];
+ vX_[1128] = vX_[1823] + vX_[1841] + vX_[1776] - vX_[1349] - vX_[1286];
+ vX_[784] = 0 - vX_[1128];
+ vX_[1298] = vX_[1298] + vX_[784] * vX_[317];
+ vX_[792] = vX_[792] + vX_[1128] * vX_[236];
+ vX_[1156] = 0 - vX_[1232];
+ vX_[1060] = 0 - vX_[1296];
+ vX_[786] = vX_[1853] + vX_[1850] + vX_[1173] + vX_[1613] - vX_[1249] - vX_[1174];
+ vX_[1347] = vX_[786] - vX_[1347];
+ vX_[1157] = 0 - vX_[1341];
+ vX_[1058] = 0 - vX_[1196];
+ vX_[794] = 0 - vX_[1286];
+ vX_[1206] = vX_[1811] - vX_[1591];
+ vX_[769] = vX_[1626] + vX_[1821];
+ vX_[1076] = vX_[1206] * vX_[316] + vX_[1479] * vX_[235];
+ vX_[1059] = vX_[1206] * vX_[329] + vX_[1479] * vX_[316];
+ vX_[2367] = vX_[2796] * 0.1104774 + vX_[2208] * 0.0004405 + vX_[2367] * 0.025941;
+ vX_[1099] = (0 - vX_[662]) * -8.81e-05;
+ vX_[1329] = vX_[1099] + vX_[1329];
+ vX_[1917] = vX_[662] * 0.0004405 + vX_[2796] * 8.81e-05 + vX_[1917] * 0.000468;
+ vX_[1329] = vX_[1868] * vX_[973] + vX_[1340] * vX_[970] + vX_[1315] * vX_[966] + vX_[2367] * vX_[972] + vX_[1329] * vX_[975] + vX_[1329] * vX_[975] + vX_[1917] * x_in[29];
+ vX_[1099] = vX_[1099] + vX_[1418];
+ vX_[662] = vX_[662] * -0.1104774 + vX_[2208] * -8.81e-05 + vX_[1906] * 0.026409;
+ jac[1068] = vX_[1323] * vX_[984] + vX_[1129] * vX_[979] + vX_[662] * vX_[992] + vX_[1917] * vX_[975] + vX_[1380];
+ vX_[662] = vX_[1684] * vX_[973] + vX_[1468] * vX_[979] + vX_[1429] * vX_[966] + vX_[2367] * vX_[975] + vX_[1099] * vX_[972] + vX_[1099] * vX_[972] - vX_[662] * x_in[29];
+ vX_[1099] = vX_[2009] * 0.47422804 + vX_[2019] * -0.0825825 + vX_[1771] * 0.081641 + (0 - vX_[1378]) * 2.1e-05 + vX_[1736] * 0.000102;
+ vX_[2367] = (0 - vX_[1771]) * 0.007418;
+ vX_[1472] = vX_[1466] + vX_[2367] - vX_[1472];
+ vX_[1466] = vX_[2181] * vX_[259] + vX_[2009] * vX_[275] + vX_[2019] * vX_[264] + vX_[1378] * vX_[307] + vX_[1736] * vX_[303];
+ vX_[1472] = vX_[2178] * -0.35 + vX_[1329] * vX_[239] + vX_[662] * vX_[241] + vX_[2467] * vX_[961] + vX_[1501] * vX_[958] + vX_[1784] * vX_[952] + vX_[1099] * vX_[960] + vX_[1472] * vX_[963] + vX_[1472] * vX_[963] + vX_[1466] * x_in[28];
+ vX_[2367] = vX_[1461] - vX_[2367] - vX_[1127];
+ vX_[1127] = vX_[2181] * vX_[272] + vX_[2009] * vX_[276] + vX_[2019] * vX_[270] + vX_[1378] * vX_[301] + vX_[1736] * vX_[307];
+ jac[1032] = vX_[1497] * vX_[1002] + vX_[1126] * vX_[969] + vX_[1127] * vX_[999] + vX_[1466] * vX_[963] + vX_[1409];
+ vX_[1127] = vX_[1329] * vX_[242] + vX_[662] * vX_[239] + vX_[1834] * vX_[961] + vX_[1452] * vX_[969] + vX_[1324] * vX_[952] + vX_[1099] * vX_[963] + vX_[2367] * vX_[960] + vX_[2367] * vX_[960] - vX_[1127] * x_in[28];
+ vX_[1346] = vX_[788] - vX_[1377] + vX_[1346];
+ vX_[1377] = vX_[1904] * 0.1466472 + vX_[1901] * -0.5824264 + vX_[1787] * -5.1e-05 + (0 - vX_[2011]) * -0.123672 + (0 - vX_[1883]) * 3.6e-05;
+ vX_[788] = vX_[2011] * 0.022734;
+ vX_[1304] = vX_[1348] - vX_[1304] - vX_[788];
+ vX_[1348] = vX_[1904] * vX_[286] + vX_[2065] * vX_[553] + vX_[1901] * vX_[503] + vX_[2011] * vX_[501] + vX_[1883] * vX_[555];
+ vX_[1304] = vX_[1472] * vX_[238] + vX_[1127] * vX_[265] + vX_[1346] * vX_[846] + vX_[1428] * vX_[934] + vX_[1377] * vX_[840] + vX_[1427] * vX_[937] + vX_[1304] * vX_[950] + vX_[1304] * vX_[950] - vX_[1348] * x_in[27];
+ vX_[1628] = 0 - vX_[1628];
+ vX_[1427] = vX_[1059] + vX_[1379];
+ vX_[1428] = 0 - vX_[1298];
+ vX_[2367] = 0 - vX_[792];
+ vX_[786] = 0 - vX_[786] + vX_[1331];
+ vX_[1331] = 0 - vX_[1252];
+ jac[348] = 0 - (vX_[1698] * vX_[993] + vX_[1708] * vX_[982] + vX_[1598] * vX_[673] + vX_[1479] * vX_[675] + vX_[1645] * vX_[332] + vX_[1379] * vX_[233] + vX_[1446] * vX_[315] + vX_[1438] * vX_[640] + vX_[401] * vX_[340] + vX_[1613] * vX_[614] + vX_[1738] * vX_[558] + vX_[1770] * vX_[616] + vX_[1550] * vX_[349] + vX_[1714] * vX_[563] + vX_[1671] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[1482] * x_in[22] + vX_[1467] * x_in[19] + (vX_[1718] * vX_[993] + vX_[1297] * vX_[329] + vX_[1482] * x_in[20]) * 0.3735 - (vX_[1577] * vX_[1017] + vX_[1259] * x_in[23]) + (vX_[1708] * vX_[1017] + vX_[1259] * x_in[19]) * 0.3735 + (vX_[1374] * vX_[1017] + vX_[1278] * vX_[505] + vX_[1252] * vX_[559] + vX_[1128] * vX_[342] + vX_[1192] * vX_[344] + vX_[1298] * vX_[315] + vX_[792] * vX_[324] + vX_[1156] * vX_[327] + vX_[1060] * vX_[343] + vX_[1347] * vX_[332] + vX_[1157] * vX_[503] + vX_[1252] * vX_[556] + vX_[1058] * vX_[286] + vX_[794] * vX_[510] + vX_[1259] * x_in[18]) * 0.207 - (vX_[1718] * vX_[987] + vX_[1206] * vX_[672] + vX_[769] * vX_[652] + vX_[1076] * vX_[315] + vX_[1059] * vX_[123] + vX_[1559] * vX_[617] + vX_[1580] * vX_[350] + vX_[1173] * vX_[639] + vX_[1370] * vX_[613] + vX_[1330] * vX_[615] + vX_[1195] * vX_[339] + vX_[1473] * vX_[562] + vX_[1114] * vX_[592] + vX_[1508] * vX_[560] + vX_[1477] * vX_[511] + vX_[1297] * vX_[330] + vX_[1304] * x_in[20])) * vX_[746] + (vX_[1577] * vX_[993] + vX_[1698] * vX_[1017] + vX_[1718] * vX_[982] + vX_[1708] * vX_[987] + vX_[1206] * vX_[675] + vX_[1598] * vX_[671] + vX_[1479] * vX_[672] + vX_[769] * vX_[332] + vX_[1628] * vX_[652] + vX_[1076] * vX_[233] + vX_[1427] * vX_[315] + vX_[1446] * vX_[123] + vX_[1438] * vX_[639] + vX_[1559] * vX_[614] + vX_[1580] * vX_[340] + vX_[401] * vX_[350] + vX_[1173] * vX_[640] + vX_[1613] * vX_[617] + vX_[1370] * vX_[558] + vX_[1330] * vX_[616] + vX_[1738] * vX_[613] + vX_[1770] * vX_[615] + vX_[1195] * vX_[349] + vX_[1550] * vX_[339] + vX_[1473] * vX_[565] + vX_[1714] * vX_[561] + vX_[1671] * vX_[562] + vX_[1114] * vX_[593] + vX_[1734] * vX_[592] + vX_[1508] * vX_[507] + vX_[1476] * vX_[560] + vX_[522] * vX_[511] + vX_[1297] * vX_[328] + (vX_[1341] * vX_[557] + vX_[1248] * vX_[295] + vX_[1196] * vX_[344] + vX_[784] * vX_[319] + vX_[1349] * vX_[333] + vX_[1428] * vX_[318] + vX_[1220] * vX_[327] + vX_[2367] * vX_[315] + vX_[1321] * vX_[332] + vX_[786] * vX_[343] + vX_[1341] * vX_[553] + vX_[1331] * vX_[502] + vX_[1196] * vX_[348] + vX_[1349] * vX_[499]) * 0.207 + vX_[1482] * x_in[23] + vX_[1259] * x_in[22] + vX_[1467] * x_in[20] + vX_[1304] * x_in[19] + (vX_[1708] * vX_[993] + vX_[1297] * vX_[316] + vX_[1482] * x_in[19]) * -0.3735 + (vX_[1374] * vX_[993] + vX_[1482] * x_in[18]) * -0.207 + (vX_[1718] * vX_[1017] + vX_[1259] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[1206] = vX_[1969] - vX_[1886];
+ vX_[784] = vX_[1586] + vX_[1964];
+ vX_[1128] = vX_[1713] + vX_[1971];
+ vX_[1297] = 0 - vX_[1128];
+ vX_[1248] = vX_[1206] * vX_[235];
+ vX_[1370] = vX_[1206] * vX_[316];
+ vX_[1278] = vX_[1829] + vX_[1967];
+ vX_[1734] = vX_[1994] + vX_[2000];
+ vX_[1114] = vX_[1845] + vX_[1965];
+ vX_[1330] = vX_[1700] + vX_[1923];
+ vX_[1173] = vX_[1330] * vX_[316] + vX_[1114] * vX_[235];
+ vX_[1192] = vX_[1330] * vX_[329] + vX_[1114] * vX_[316];
+ vX_[1195] = vX_[1984] + vX_[1999];
+ vX_[1476] = 0 - (vX_[1773] + vX_[1878]) + vX_[1195];
+ vX_[1477] = vX_[1992] - vX_[1801];
+ vX_[1508] = vX_[1838] + vX_[1963];
+ vX_[1473] = vX_[2005] + vX_[2002];
+ vX_[522] = 0 - vX_[1473];
+ vX_[3413] = vX_[1477] * vX_[235];
+ vX_[3453] = vX_[1477] * vX_[316];
+ vX_[1671] = vX_[1828] + vX_[1110] * 0.207;
+ vX_[1714] = vX_[1791] * vX_[956] + vX_[1840] * vX_[316] + vX_[1110] * vX_[954] + vX_[1680] * vX_[955] + vX_[1796] * vX_[236];
+ vX_[1550] = vX_[1110] * vX_[316] + vX_[1680] * vX_[235];
+ vX_[1580] = vX_[1671] * vX_[967] + vX_[1714] * vX_[237] + vX_[1550] * vX_[968];
+ vX_[1770] = vX_[1671] * vX_[953] + vX_[1714] * vX_[265] + vX_[1550] * vX_[283];
+ vX_[1738] = vX_[1580] * 1 / vX_[262];
+ vX_[1559] = vX_[1770] * 1 / vX_[262];
+ vX_[1613] = vX_[1550] * 1 / vX_[262];
+ vX_[401] = vX_[1671] * 1 / vX_[313];
+ vX_[1438] = vX_[1791] * vX_[316] + vX_[1840] * vX_[235] + vX_[1110] * vX_[330] + vX_[1680] * vX_[328] + vX_[1796] * vX_[935];
+ vX_[1479] = vX_[1438] * 1 / vX_[313];
+ vX_[1598] = vX_[1714] * 1 / vX_[313];
+ vX_[1099] = vX_[1796] * 1 / vX_[313];
+ vX_[1452] = vX_[1550] * 1 / vX_[313];
+ vX_[1324] = vX_[1110] * vX_[329] + vX_[1680] * vX_[316];
+ vX_[1834] = vX_[1324] * 1 / vX_[313];
+ vX_[1466] = vX_[1796] - (vX_[401] * vX_[325] + vX_[1479] * vX_[287] + vX_[1598] * vX_[278] + vX_[1099] * vX_[313] + vX_[1452] * vX_[338] + vX_[1834] * vX_[347]);
+ vX_[1497] = vX_[1466] * vX_[266] + vX_[1324] * vX_[238];
+ vX_[1126] = vX_[1497] * 1 / vX_[262];
+ vX_[1409] = vX_[1466] * vX_[238] + vX_[1324] * vX_[265];
+ vX_[1461] = vX_[1409] * 1 / vX_[262];
+ vX_[1501] = vX_[1550] - (vX_[1738] * vX_[273] + vX_[1559] * vX_[260] + vX_[1613] * vX_[262] + vX_[1126] * vX_[269] + vX_[1461] * vX_[250]);
+ vX_[1784] = vX_[1580] * vX_[241] + vX_[1770] * vX_[239] + vX_[1501] * vX_[244];
+ vX_[2467] = vX_[1580] * vX_[239] + vX_[1770] * vX_[977] + vX_[1501] * vX_[978];
+ vX_[2178] = vX_[1501] - (vX_[2467] * 38.1956380581338 * 0.1104774 + vX_[1784] * 38.1956380581338 * -0.0004405 + vX_[1501] * 38.1956380581338 * 0.026181);
+ vX_[1468] = vX_[1497] * vX_[239] + vX_[1409] * vX_[242];
+ vX_[1429] = vX_[1784] * 0.881 + (0 - vX_[2178]) * 0.0004405 + vX_[1468] * -8.81e-05;
+ vX_[1684] = vX_[2467] * -0.881;
+ vX_[1917] = vX_[2178] * 0.1104774;
+ vX_[1323] = vX_[1497] * vX_[241] + vX_[1409] * vX_[239];
+ vX_[1129] = vX_[1323] * -8.81e-05;
+ vX_[1380] = vX_[1684] - vX_[1917] + vX_[1129];
+ vX_[1906] = vX_[1429] * vX_[975] + vX_[1380] * vX_[972];
+ vX_[2208] = vX_[1770] * 3.146 + (0 - vX_[1501]) * -0.0825825;
+ vX_[1418] = vX_[1580] * -3.146;
+ vX_[1340] = vX_[1501] * 0.47422804;
+ vX_[1315] = vX_[1418] - vX_[1340];
+ vX_[1868] = vX_[1906] + vX_[2208] * vX_[963] + vX_[1315] * vX_[960];
+ vX_[2796] = vX_[1714] * 3.44 + vX_[1550] * -0.5824264;
+ vX_[898] = 0 - vX_[2796];
+ vX_[1199] = vX_[1671] * 3.44 + (0 - vX_[1550]) * 0.1466472;
+ vX_[1204] = vX_[1671] * vX_[332] + vX_[1438] * vX_[315] + vX_[1714] * vX_[324] + vX_[1550] * vX_[503] + vX_[1324] * vX_[556];
+ vX_[780] = vX_[1868] + vX_[898] * vX_[840] + vX_[1199] * vX_[950] + vX_[1204] * x_in[27];
+ vX_[1210] = 0 - vX_[1429];
+ vX_[1129] = 0 - vX_[1684] + vX_[1917] - vX_[1129];
+ vX_[1917] = vX_[1438] + vX_[1466] * 0.08;
+ vX_[1684] = vX_[1917] + vX_[1497] * -0.35;
+ vX_[1149] = vX_[1684] * 0.0004405 + vX_[2467] * -8.81e-05 + vX_[1323] * -0.000227999999999999;
+ vX_[1190] = vX_[1684] * 0.1104774 + vX_[1784] * -8.81e-05 + (0 - vX_[1468]) * 0.025713;
+ vX_[1087] = (0 - vX_[2467]) * 0.0004405;
+ vX_[1239] = (0 - vX_[1784]) * 0.1104774;
+ vX_[1235] = vX_[1087] + vX_[1239];
+ vX_[1235] = vX_[1210] * vX_[979] + vX_[1129] * vX_[970] + vX_[1149] * vX_[975] + vX_[1190] * vX_[972] + vX_[1235] * vX_[966] + vX_[1235] * vX_[966];
+ vX_[795] = vX_[1684] * 0.881 + (0 - vX_[1468]) * 0.1104774 + vX_[1323] * 0.0004405;
+ vX_[1111] = vX_[2467] * 0.00185880198235362 + vX_[1784] * 0.880992588508842 + vX_[1468] * -8.81e-05;
+ vX_[1210] = vX_[1210] * vX_[966] + vX_[795] * vX_[972] + vX_[1111] * x_in[29];
+ vX_[1165] = 0 - vX_[795];
+ vX_[791] = vX_[2467] * 0.414812462825713 + vX_[1784] * 0.00185880198235362 + vX_[1323] * 8.81e-05;
+ vX_[1129] = vX_[1129] * vX_[966] + vX_[1165] * vX_[975] - vX_[791] * x_in[29];
+ vX_[1200] = 0 - vX_[2208];
+ vX_[1340] = 0 - vX_[1418] + vX_[1340];
+ vX_[1418] = vX_[1917] * -0.0825825 + (0 - vX_[1501]) * 0.000102 + vX_[1497] * 0.007418 + vX_[1409] * 0.002735;
+ vX_[1024] = vX_[1917] * 0.47422804 + vX_[1501] * 2.1e-05 + (0 - vX_[1497]) * 0.084376 + (0 - vX_[1409]) * 0.007418;
+ vX_[1216] = (0 - vX_[1580]) * -0.0825825;
+ vX_[1205] = (0 - vX_[1770]) * 0.47422804;
+ vX_[1241] = vX_[1497] * 0.000102;
+ vX_[1211] = (0 - vX_[1409]) * 2.1e-05;
+ vX_[1246] = vX_[1216] + vX_[1205] + vX_[1241] + vX_[1211];
+ vX_[1246] = vX_[1235] + vX_[1210] * vX_[978] + vX_[1129] * vX_[244] + vX_[1200] * vX_[969] + vX_[1340] * vX_[958] + vX_[1418] * vX_[963] + vX_[1024] * vX_[960] + vX_[1246] * vX_[952] + vX_[1246] * vX_[952];
+ vX_[1215] = vX_[1917] * 3.146 + (0 - vX_[1497]) * 0.47422804 + vX_[1409] * -0.0825825;
+ vX_[1214] = vX_[1580] * vX_[292] + vX_[1770] * vX_[291] + vX_[1497] * vX_[270] + vX_[1409] * vX_[264];
+ vX_[1200] = vX_[1210] * vX_[239] + vX_[1129] * vX_[241] + vX_[1200] * vX_[952] + vX_[1215] * vX_[960] + vX_[1214] * x_in[28];
+ vX_[1054] = 0 - vX_[1215];
+ vX_[790] = vX_[1580] * vX_[290] + vX_[1770] * vX_[292] + vX_[1497] * vX_[276] + vX_[1409] * vX_[275];
+ vX_[1340] = vX_[1210] * vX_[977] + vX_[1129] * vX_[239] + vX_[1340] * vX_[952] + vX_[1054] * vX_[963] - vX_[790] * x_in[28];
+ vX_[1079] = 0 - vX_[1199];
+ vX_[1026] = vX_[1438] * -0.5824264 + (0 - vX_[1466]) * 0.022734 + vX_[1550] * 3.6e-05 + vX_[1324] * -0.133138;
+ vX_[753] = vX_[1438] * 0.1466472 + vX_[1466] * 0.009466 + (0 - vX_[1550]) * -5.1e-05 + vX_[1324] * 0.022734;
+ vX_[1116] = (0 - vX_[1671]) * -0.5824264;
+ vX_[797] = (0 - vX_[1714]) * 0.1466472;
+ vX_[1084] = (0 - vX_[1466]) * 3.6e-05;
+ vX_[776] = (0 - vX_[1324]) * -5.1e-05;
+ vX_[1073] = vX_[1116] + vX_[797] + vX_[1084] - vX_[776];
+ vX_[3363] = vX_[1671] * vX_[348] + vX_[1438] * vX_[502] + vX_[1714] * vX_[556] + vX_[1550] * vX_[555] + vX_[1324] * vX_[312];
+ vX_[1073] = vX_[1246] + vX_[1200] * vX_[968] + vX_[1340] * vX_[283] + vX_[2796] * vX_[846] + vX_[1079] * vX_[957] + vX_[1026] * vX_[840] + vX_[753] * vX_[950] + vX_[1073] * vX_[937] + vX_[1073] * vX_[937] + vX_[3363] * x_in[27];
+ vX_[586] = vX_[1974] - vX_[1801];
+ vX_[566] = vX_[586] * vX_[316] + vX_[1508] * vX_[235];
+ vX_[3436] = vX_[586] * vX_[329] + vX_[1508] * vX_[316];
+ vX_[757] = vX_[3436] + vX_[3413];
+ vX_[1066] = vX_[566] * vX_[329] + vX_[757] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1071] = 0 - vX_[1066];
+ vX_[683] = vX_[1801] + vX_[566] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1077] = 0 - vX_[683];
+ vX_[980] = vX_[1801] + vX_[3436] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[1057] = vX_[1839] + vX_[1920] - vX_[1734];
+ vX_[1106] = vX_[1195] * vX_[316] + vX_[1734] * vX_[235];
+ vX_[1105] = 0 - (vX_[1057] * vX_[329] + vX_[1476] * vX_[316]) + vX_[1106];
+ vX_[1102] = vX_[1105] + vX_[683] * vX_[317];
+ vX_[775] = 0 - vX_[1102];
+ vX_[778] = vX_[1195] * vX_[329] + vX_[1734] * vX_[316];
+ vX_[1033] = vX_[1057] * vX_[316] + vX_[1476] * vX_[235] + vX_[778];
+ vX_[774] = 0 - vX_[980];
+ vX_[1067] = vX_[1033] + vX_[1066] * vX_[317] + vX_[774] * vX_[236];
+ vX_[759] = vX_[1695] + vX_[1966];
+ vX_[801] = vX_[1278] * vX_[316] + vX_[759] * vX_[329];
+ vX_[1072] = vX_[801] * vX_[316] + vX_[1192] * vX_[235];
+ vX_[1108] = vX_[1857] + vX_[1982];
+ vX_[1473] = 0 - vX_[1473];
+ vX_[1078] = vX_[1108] * vX_[329] + vX_[1473] * vX_[316];
+ vX_[1113] = 0 - vX_[1078];
+ vX_[1082] = vX_[1072] + vX_[1113] * vX_[236] + vX_[1077] * vX_[331];
+ vX_[1081] = 0 - vX_[1082];
+ vX_[766] = vX_[1278] * vX_[235] + vX_[759] * vX_[316];
+ vX_[781] = vX_[766] * vX_[329] + vX_[1173] * vX_[316];
+ vX_[779] = vX_[1108] * vX_[316] + vX_[522] * vX_[235];
+ vX_[765] = 0 - vX_[779];
+ vX_[764] = vX_[781] + vX_[765] * vX_[317] + vX_[980] * vX_[331];
+ vX_[767] = vX_[766] * vX_[316] + vX_[1173] * vX_[235];
+ vX_[458] = vX_[767] + vX_[1078] * vX_[317];
+ vX_[467] = vX_[801] * vX_[329] + vX_[1192] * vX_[316];
+ vX_[644] = vX_[467] + vX_[779] * vX_[236] + vX_[1071] * vX_[331];
+ vX_[564] = 0 - vX_[458] + vX_[644];
+ vX_[3489] = 0 - vX_[1066];
+ vX_[3272] = 0 - vX_[683];
+ vX_[1077] = vX_[1071] * vX_[559] + vX_[1077] * vX_[505] + vX_[980] * vX_[295] + vX_[775] * vX_[332] + vX_[1067] * vX_[343] + vX_[1081] * vX_[324] + vX_[764] * vX_[318] + vX_[564] * vX_[315] + vX_[1066] * vX_[553] + vX_[3489] * vX_[556] + vX_[3272] * vX_[504] + vX_[980] * vX_[508];
+ vX_[1071] = vX_[1438] * -3.44;
+ vX_[3486] = vX_[1466] * 0.1466472;
+ vX_[580] = vX_[1324] * -0.5824264;
+ vX_[3491] = 0 - vX_[1071] + vX_[3486] - vX_[580];
+ vX_[3466] = vX_[1671] * vX_[343] + vX_[1438] * vX_[318] + vX_[1714] * vX_[315] + vX_[1550] * vX_[553] + vX_[1324] * vX_[502];
+ vX_[1079] = vX_[1200] * vX_[237] + vX_[1340] * vX_[265] + vX_[3491] * vX_[840] + vX_[1079] * vX_[937] - vX_[3466] * x_in[27];
+ vX_[3458] = vX_[1974] + vX_[1992] + vX_[1801] - vX_[683] - vX_[980];
+ vX_[3449] = 0 - vX_[3458];
+ vX_[1106] = vX_[1106] + vX_[3449] * vX_[317];
+ vX_[778] = vX_[778] + vX_[3458] * vX_[236];
+ vX_[599] = 0 - vX_[1067];
+ vX_[550] = 0 - vX_[764];
+ vX_[1030] = vX_[2004] + vX_[2001] + vX_[759] + vX_[1114] - vX_[767] - vX_[467];
+ vX_[644] = vX_[1030] - vX_[644];
+ vX_[773] = 0 - vX_[1078];
+ vX_[3405] = 0 - vX_[1066];
+ vX_[3412] = 0 - vX_[980];
+ vX_[3267] = vX_[1962] - vX_[1886];
+ vX_[3270] = vX_[1830] + vX_[1972];
+ vX_[3275] = vX_[3267] * vX_[316] + vX_[784] * vX_[235];
+ vX_[738] = vX_[3267] * vX_[329] + vX_[784] * vX_[316];
+ vX_[2178] = vX_[2467] * 0.1104774 + vX_[1784] * 0.0004405 + vX_[2178] * 0.025941;
+ vX_[743] = (0 - vX_[1684]) * -8.81e-05;
+ vX_[1239] = vX_[743] + vX_[1239];
+ vX_[1323] = vX_[1684] * 0.0004405 + vX_[2467] * 8.81e-05 + vX_[1323] * 0.000468;
+ vX_[1239] = vX_[1429] * vX_[973] + vX_[1165] * vX_[970] + vX_[1149] * vX_[966] + vX_[2178] * vX_[972] + vX_[1239] * vX_[975] + vX_[1239] * vX_[975] + vX_[1323] * x_in[29];
+ vX_[743] = vX_[743] + vX_[1087];
+ vX_[1684] = vX_[1684] * -0.1104774 + vX_[1784] * -8.81e-05 + vX_[1468] * 0.026409;
+ jac[1069] = vX_[791] * vX_[984] + vX_[1111] * vX_[979] + vX_[1684] * vX_[992] + vX_[1323] * vX_[975] + vX_[1235];
+ vX_[1684] = vX_[1380] * vX_[973] + vX_[795] * vX_[979] + vX_[1190] * vX_[966] + vX_[2178] * vX_[975] + vX_[743] * vX_[972] + vX_[743] * vX_[972] - vX_[1684] * x_in[29];
+ vX_[743] = vX_[1580] * 0.47422804 + vX_[1770] * -0.0825825 + vX_[1501] * 0.081641 + (0 - vX_[1497]) * 2.1e-05 + vX_[1409] * 0.000102;
+ vX_[2178] = (0 - vX_[1501]) * 0.007418;
+ vX_[1211] = vX_[1205] + vX_[2178] - vX_[1211];
+ vX_[1205] = vX_[1917] * vX_[259] + vX_[1580] * vX_[275] + vX_[1770] * vX_[264] + vX_[1497] * vX_[307] + vX_[1409] * vX_[303];
+ vX_[1211] = vX_[1906] * -0.35 + vX_[1239] * vX_[239] + vX_[1684] * vX_[241] + vX_[2208] * vX_[961] + vX_[1054] * vX_[958] + vX_[1418] * vX_[952] + vX_[743] * vX_[960] + vX_[1211] * vX_[963] + vX_[1211] * vX_[963] + vX_[1205] * x_in[28];
+ vX_[2178] = vX_[1216] - vX_[2178] - vX_[1241];
+ vX_[1241] = vX_[1917] * vX_[272] + vX_[1580] * vX_[276] + vX_[1770] * vX_[270] + vX_[1497] * vX_[301] + vX_[1409] * vX_[307];
+ jac[1033] = vX_[790] * vX_[1002] + vX_[1214] * vX_[969] + vX_[1241] * vX_[999] + vX_[1205] * vX_[963] + vX_[1246];
+ vX_[1241] = vX_[1239] * vX_[242] + vX_[1684] * vX_[239] + vX_[1315] * vX_[961] + vX_[1215] * vX_[969] + vX_[1024] * vX_[952] + vX_[743] * vX_[963] + vX_[2178] * vX_[960] + vX_[2178] * vX_[960] - vX_[1241] * x_in[28];
+ vX_[580] = vX_[1071] - vX_[3486] + vX_[580];
+ vX_[3486] = vX_[1671] * 0.1466472 + vX_[1714] * -0.5824264 + vX_[1466] * -5.1e-05 + (0 - vX_[1550]) * -0.123672 + (0 - vX_[1324]) * 3.6e-05;
+ vX_[1071] = vX_[1550] * 0.022734;
+ vX_[1084] = vX_[1116] - vX_[1084] - vX_[1071];
+ vX_[1116] = vX_[1671] * vX_[286] + vX_[1438] * vX_[553] + vX_[1714] * vX_[503] + vX_[1550] * vX_[501] + vX_[1324] * vX_[555];
+ vX_[1084] = vX_[1211] * vX_[238] + vX_[1241] * vX_[265] + vX_[580] * vX_[846] + vX_[1199] * vX_[934] + vX_[3486] * vX_[840] + vX_[753] * vX_[937] + vX_[1084] * vX_[950] + vX_[1084] * vX_[950] - vX_[1116] * x_in[27];
+ vX_[1128] = 0 - vX_[1128];
+ vX_[753] = vX_[738] + vX_[1248];
+ vX_[1199] = 0 - vX_[1106];
+ vX_[2178] = 0 - vX_[778];
+ vX_[1030] = 0 - vX_[1030] + vX_[458];
+ vX_[458] = 0 - vX_[779];
+ jac[349] = 0 - (vX_[1840] * vX_[993] + vX_[1680] * vX_[982] + vX_[1206] * vX_[673] + vX_[784] * vX_[675] + vX_[1297] * vX_[332] + vX_[1248] * vX_[233] + vX_[1370] * vX_[315] + vX_[1278] * vX_[640] + vX_[1734] * vX_[340] + vX_[1114] * vX_[614] + vX_[1173] * vX_[558] + vX_[1192] * vX_[616] + vX_[1476] * vX_[349] + vX_[1477] * vX_[563] + vX_[1508] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[780] * x_in[22] + vX_[1073] * x_in[19] + (vX_[1110] * vX_[993] + vX_[1077] * vX_[329] + vX_[780] * x_in[20]) * 0.3735 - (vX_[1791] * vX_[1017] + vX_[1079] * x_in[23]) + (vX_[1680] * vX_[1017] + vX_[1079] * x_in[19]) * 0.3735 + (vX_[1796] * vX_[1017] + vX_[1113] * vX_[505] + vX_[779] * vX_[559] + vX_[3458] * vX_[342] + vX_[774] * vX_[344] + vX_[1106] * vX_[315] + vX_[778] * vX_[324] + vX_[599] * vX_[327] + vX_[550] * vX_[343] + vX_[644] * vX_[332] + vX_[773] * vX_[503] + vX_[779] * vX_[556] + vX_[3405] * vX_[286] + vX_[3412] * vX_[510] + vX_[1079] * x_in[18]) * 0.207 - (vX_[1110] * vX_[987] + vX_[3267] * vX_[672] + vX_[3270] * vX_[652] + vX_[3275] * vX_[315] + vX_[738] * vX_[123] + vX_[1330] * vX_[617] + vX_[1195] * vX_[350] + vX_[759] * vX_[639] + vX_[766] * vX_[613] + vX_[801] * vX_[615] + vX_[1057] * vX_[339] + vX_[586] * vX_[562] + vX_[1108] * vX_[592] + vX_[566] * vX_[560] + vX_[3436] * vX_[511] + vX_[1077] * vX_[330] + vX_[1084] * x_in[20])) * vX_[746] + (vX_[1791] * vX_[993] + vX_[1840] * vX_[1017] + vX_[1110] * vX_[982] + vX_[1680] * vX_[987] + vX_[3267] * vX_[675] + vX_[1206] * vX_[671] + vX_[784] * vX_[672] + vX_[3270] * vX_[332] + vX_[1128] * vX_[652] + vX_[3275] * vX_[233] + vX_[753] * vX_[315] + vX_[1370] * vX_[123] + vX_[1278] * vX_[639] + vX_[1330] * vX_[614] + vX_[1195] * vX_[340] + vX_[1734] * vX_[350] + vX_[759] * vX_[640] + vX_[1114] * vX_[617] + vX_[766] * vX_[558] + vX_[801] * vX_[616] + vX_[1173] * vX_[613] + vX_[1192] * vX_[615] + vX_[1057] * vX_[349] + vX_[1476] * vX_[339] + vX_[586] * vX_[565] + vX_[1477] * vX_[561] + vX_[1508] * vX_[562] + vX_[1108] * vX_[593] + vX_[1473] * vX_[592] + vX_[566] * vX_[507] + vX_[757] * vX_[560] + vX_[3453] * vX_[511] + vX_[1077] * vX_[328] + (vX_[1078] * vX_[557] + vX_[765] * vX_[295] + vX_[1066] * vX_[344] + vX_[3449] * vX_[319] + vX_[683] * vX_[333] + vX_[1199] * vX_[318] + vX_[1102] * vX_[327] + vX_[2178] * vX_[315] + vX_[1082] * vX_[332] + vX_[1030] * vX_[343] + vX_[1078] * vX_[553] + vX_[458] * vX_[502] + vX_[1066] * vX_[348] + vX_[683] * vX_[499]) * 0.207 + vX_[780] * x_in[23] + vX_[1079] * x_in[22] + vX_[1073] * x_in[20] + vX_[1084] * x_in[19] + (vX_[1680] * vX_[993] + vX_[1077] * vX_[316] + vX_[780] * x_in[19]) * -0.3735 + (vX_[1796] * vX_[993] + vX_[780] * x_in[18]) * -0.207 + (vX_[1110] * vX_[1017] + vX_[1079] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[3267] = vX_[2117] - vX_[2036];
+ vX_[3449] = vX_[1832] + vX_[2112];
+ vX_[3458] = vX_[1865] + vX_[2119];
+ vX_[1077] = 0 - vX_[3458];
+ vX_[765] = vX_[3267] * vX_[235];
+ vX_[766] = vX_[3267] * vX_[316];
+ vX_[1113] = vX_[1980] + vX_[2115];
+ vX_[1473] = vX_[2142] + vX_[2148];
+ vX_[1108] = vX_[1996] + vX_[2113];
+ vX_[801] = vX_[1844] + vX_[2071];
+ vX_[759] = vX_[801] * vX_[316] + vX_[1108] * vX_[235];
+ vX_[774] = vX_[801] * vX_[329] + vX_[1108] * vX_[316];
+ vX_[1057] = vX_[2132] + vX_[2147];
+ vX_[757] = 0 - (vX_[1797] + vX_[2006]) + vX_[1057];
+ vX_[3436] = vX_[2140] - vX_[1953];
+ vX_[566] = vX_[1989] + vX_[2111];
+ vX_[586] = vX_[2153] + vX_[2150];
+ vX_[3453] = 0 - vX_[586];
+ vX_[3413] = vX_[3436] * vX_[235];
+ vX_[522] = vX_[3436] * vX_[316];
+ vX_[1508] = vX_[1979] + vX_[1919] * 0.207;
+ vX_[1477] = vX_[1943] * vX_[956] + vX_[1991] * vX_[316] + vX_[1919] * vX_[954] + vX_[1895] * vX_[955] + vX_[1948] * vX_[236];
+ vX_[1476] = vX_[1919] * vX_[316] + vX_[1895] * vX_[235];
+ vX_[1195] = vX_[1508] * vX_[967] + vX_[1477] * vX_[237] + vX_[1476] * vX_[968];
+ vX_[1192] = vX_[1508] * vX_[953] + vX_[1477] * vX_[265] + vX_[1476] * vX_[283];
+ vX_[1173] = vX_[1195] * 1 / vX_[262];
+ vX_[1330] = vX_[1192] * 1 / vX_[262];
+ vX_[1114] = vX_[1476] * 1 / vX_[262];
+ vX_[1734] = vX_[1508] * 1 / vX_[313];
+ vX_[1278] = vX_[1943] * vX_[316] + vX_[1991] * vX_[235] + vX_[1919] * vX_[330] + vX_[1895] * vX_[328] + vX_[1948] * vX_[935];
+ vX_[784] = vX_[1278] * 1 / vX_[313];
+ vX_[1206] = vX_[1477] * 1 / vX_[313];
+ vX_[743] = vX_[1948] * 1 / vX_[313];
+ vX_[1215] = vX_[1476] * 1 / vX_[313];
+ vX_[1024] = vX_[1919] * vX_[329] + vX_[1895] * vX_[316];
+ vX_[1315] = vX_[1024] * 1 / vX_[313];
+ vX_[1205] = vX_[1948] - (vX_[1734] * vX_[325] + vX_[784] * vX_[287] + vX_[1206] * vX_[278] + vX_[743] * vX_[313] + vX_[1215] * vX_[338] + vX_[1315] * vX_[347]);
+ vX_[790] = vX_[1205] * vX_[266] + vX_[1024] * vX_[238];
+ vX_[1214] = vX_[790] * 1 / vX_[262];
+ vX_[1246] = vX_[1205] * vX_[238] + vX_[1024] * vX_[265];
+ vX_[1216] = vX_[1246] * 1 / vX_[262];
+ vX_[1054] = vX_[1476] - (vX_[1173] * vX_[273] + vX_[1330] * vX_[260] + vX_[1114] * vX_[262] + vX_[1214] * vX_[269] + vX_[1216] * vX_[250]);
+ vX_[1418] = vX_[1195] * vX_[241] + vX_[1192] * vX_[239] + vX_[1054] * vX_[244];
+ vX_[2208] = vX_[1195] * vX_[239] + vX_[1192] * vX_[977] + vX_[1054] * vX_[978];
+ vX_[1906] = vX_[1054] - (vX_[2208] * 38.1956380581338 * 0.1104774 + vX_[1418] * 38.1956380581338 * -0.0004405 + vX_[1054] * 38.1956380581338 * 0.026181);
+ vX_[795] = vX_[790] * vX_[239] + vX_[1246] * vX_[242];
+ vX_[1190] = vX_[1418] * 0.881 + (0 - vX_[1906]) * 0.0004405 + vX_[795] * -8.81e-05;
+ vX_[1380] = vX_[2208] * -0.881;
+ vX_[1323] = vX_[1906] * 0.1104774;
+ vX_[791] = vX_[790] * vX_[241] + vX_[1246] * vX_[239];
+ vX_[1111] = vX_[791] * -8.81e-05;
+ vX_[1235] = vX_[1380] - vX_[1323] + vX_[1111];
+ vX_[1468] = vX_[1190] * vX_[975] + vX_[1235] * vX_[972];
+ vX_[1784] = vX_[1192] * 3.146 + (0 - vX_[1054]) * -0.0825825;
+ vX_[1087] = vX_[1195] * -3.146;
+ vX_[1165] = vX_[1054] * 0.47422804;
+ vX_[1149] = vX_[1087] - vX_[1165];
+ vX_[1429] = vX_[1468] + vX_[1784] * vX_[963] + vX_[1149] * vX_[960];
+ vX_[2467] = vX_[1477] * 3.44 + vX_[1476] * -0.5824264;
+ vX_[638] = 0 - vX_[2467];
+ vX_[714] = vX_[1508] * 3.44 + (0 - vX_[1476]) * 0.1466472;
+ vX_[702] = vX_[1508] * vX_[332] + vX_[1278] * vX_[315] + vX_[1477] * vX_[324] + vX_[1476] * vX_[503] + vX_[1024] * vX_[556];
+ vX_[568] = vX_[1429] + vX_[638] * vX_[840] + vX_[714] * vX_[950] + vX_[702] * x_in[27];
+ vX_[456] = 0 - vX_[1190];
+ vX_[1111] = 0 - vX_[1380] + vX_[1323] - vX_[1111];
+ vX_[1323] = vX_[1278] + vX_[1205] * 0.08;
+ vX_[1380] = vX_[1323] + vX_[790] * -0.35;
+ vX_[466] = vX_[1380] * 0.0004405 + vX_[2208] * -8.81e-05 + vX_[791] * -0.000227999999999999;
+ vX_[465] = vX_[1380] * 0.1104774 + vX_[1418] * -8.81e-05 + (0 - vX_[795]) * 0.025713;
+ vX_[457] = (0 - vX_[2208]) * 0.0004405;
+ vX_[455] = (0 - vX_[1418]) * 0.1104774;
+ vX_[454] = vX_[457] + vX_[455];
+ vX_[454] = vX_[456] * vX_[979] + vX_[1111] * vX_[970] + vX_[466] * vX_[975] + vX_[465] * vX_[972] + vX_[454] * vX_[966] + vX_[454] * vX_[966];
+ vX_[399] = vX_[1380] * 0.881 + (0 - vX_[795]) * 0.1104774 + vX_[791] * 0.0004405;
+ vX_[442] = vX_[2208] * 0.00185880198235362 + vX_[1418] * 0.880992588508842 + vX_[795] * -8.81e-05;
+ vX_[456] = vX_[456] * vX_[966] + vX_[399] * vX_[972] + vX_[442] * x_in[29];
+ vX_[441] = 0 - vX_[399];
+ vX_[440] = vX_[2208] * 0.414812462825713 + vX_[1418] * 0.00185880198235362 + vX_[791] * 8.81e-05;
+ vX_[1111] = vX_[1111] * vX_[966] + vX_[441] * vX_[975] - vX_[440] * x_in[29];
+ vX_[439] = 0 - vX_[1784];
+ vX_[1165] = 0 - vX_[1087] + vX_[1165];
+ vX_[1087] = vX_[1323] * -0.0825825 + (0 - vX_[1054]) * 0.000102 + vX_[790] * 0.007418 + vX_[1246] * 0.002735;
+ vX_[430] = vX_[1323] * 0.47422804 + vX_[1054] * 2.1e-05 + (0 - vX_[790]) * 0.084376 + (0 - vX_[1246]) * 0.007418;
+ vX_[379] = (0 - vX_[1195]) * -0.0825825;
+ vX_[429] = (0 - vX_[1192]) * 0.47422804;
+ vX_[428] = vX_[790] * 0.000102;
+ vX_[427] = (0 - vX_[1246]) * 2.1e-05;
+ vX_[424] = vX_[379] + vX_[429] + vX_[428] + vX_[427];
+ vX_[424] = vX_[454] + vX_[456] * vX_[978] + vX_[1111] * vX_[244] + vX_[439] * vX_[969] + vX_[1165] * vX_[958] + vX_[1087] * vX_[963] + vX_[430] * vX_[960] + vX_[424] * vX_[952] + vX_[424] * vX_[952];
+ vX_[423] = vX_[1323] * 3.146 + (0 - vX_[790]) * 0.47422804 + vX_[1246] * -0.0825825;
+ vX_[413] = vX_[1195] * vX_[292] + vX_[1192] * vX_[291] + vX_[790] * vX_[270] + vX_[1246] * vX_[264];
+ vX_[439] = vX_[456] * vX_[239] + vX_[1111] * vX_[241] + vX_[439] * vX_[952] + vX_[423] * vX_[960] + vX_[413] * x_in[28];
+ vX_[409] = 0 - vX_[423];
+ vX_[412] = vX_[1195] * vX_[290] + vX_[1192] * vX_[292] + vX_[790] * vX_[276] + vX_[1246] * vX_[275];
+ vX_[1165] = vX_[456] * vX_[977] + vX_[1111] * vX_[239] + vX_[1165] * vX_[952] + vX_[409] * vX_[963] - vX_[412] * x_in[28];
+ vX_[411] = 0 - vX_[714];
+ vX_[410] = vX_[1278] * -0.5824264 + (0 - vX_[1205]) * 0.022734 + vX_[1476] * 3.6e-05 + vX_[1024] * -0.133138;
+ vX_[404] = vX_[1278] * 0.1466472 + vX_[1205] * 0.009466 + (0 - vX_[1476]) * -5.1e-05 + vX_[1024] * 0.022734;
+ vX_[377] = (0 - vX_[1508]) * -0.5824264;
+ vX_[403] = (0 - vX_[1477]) * 0.1466472;
+ vX_[400] = (0 - vX_[1205]) * 3.6e-05;
+ vX_[389] = (0 - vX_[1024]) * -5.1e-05;
+ vX_[398] = vX_[377] + vX_[403] + vX_[400] - vX_[389];
+ vX_[394] = vX_[1508] * vX_[348] + vX_[1278] * vX_[502] + vX_[1477] * vX_[556] + vX_[1476] * vX_[555] + vX_[1024] * vX_[312];
+ vX_[398] = vX_[424] + vX_[439] * vX_[968] + vX_[1165] * vX_[283] + vX_[2467] * vX_[846] + vX_[411] * vX_[957] + vX_[410] * vX_[840] + vX_[404] * vX_[950] + vX_[398] * vX_[937] + vX_[398] * vX_[937] + vX_[394] * x_in[27];
+ vX_[393] = vX_[2122] - vX_[1953];
+ vX_[392] = vX_[393] * vX_[316] + vX_[566] * vX_[235];
+ vX_[388] = vX_[393] * vX_[329] + vX_[566] * vX_[316];
+ vX_[387] = vX_[388] + vX_[3413];
+ vX_[382] = vX_[392] * vX_[329] + vX_[387] * vX_[316] + vX_[522] * vX_[235];
+ vX_[471] = 0 - vX_[382];
+ vX_[3410] = vX_[1953] + vX_[392] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[3409] = 0 - vX_[3410];
+ vX_[3408] = vX_[1953] + vX_[388] * vX_[329] + vX_[522] * vX_[316];
+ vX_[3406] = vX_[1990] + vX_[2068] - vX_[1473];
+ vX_[971] = vX_[1057] * vX_[316] + vX_[1473] * vX_[235];
+ vX_[493] = 0 - (vX_[3406] * vX_[329] + vX_[757] * vX_[316]) + vX_[971];
+ vX_[689] = vX_[493] + vX_[3410] * vX_[317];
+ vX_[729] = 0 - vX_[689];
+ vX_[744] = vX_[1057] * vX_[329] + vX_[1473] * vX_[316];
+ vX_[707] = vX_[3406] * vX_[316] + vX_[757] * vX_[235] + vX_[744];
+ vX_[432] = 0 - vX_[3408];
+ vX_[406] = vX_[707] + vX_[382] * vX_[317] + vX_[432] * vX_[236];
+ vX_[396] = vX_[1861] + vX_[2114];
+ vX_[3450] = vX_[1113] * vX_[316] + vX_[396] * vX_[329];
+ vX_[3407] = vX_[3450] * vX_[316] + vX_[774] * vX_[235];
+ vX_[723] = vX_[2020] + vX_[2130];
+ vX_[586] = 0 - vX_[586];
+ vX_[451] = vX_[723] * vX_[329] + vX_[586] * vX_[316];
+ vX_[436] = 0 - vX_[451];
+ vX_[3472] = vX_[3407] + vX_[436] * vX_[236] + vX_[3409] * vX_[331];
+ vX_[578] = 0 - vX_[3472];
+ vX_[3276] = vX_[1113] * vX_[235] + vX_[396] * vX_[316];
+ vX_[726] = vX_[3276] * vX_[329] + vX_[759] * vX_[316];
+ vX_[624] = vX_[723] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[3488] = 0 - vX_[624];
+ vX_[582] = vX_[726] + vX_[3488] * vX_[317] + vX_[3408] * vX_[331];
+ vX_[3447] = vX_[3276] * vX_[316] + vX_[759] * vX_[235];
+ vX_[3365] = vX_[3447] + vX_[451] * vX_[317];
+ vX_[3448] = vX_[3450] * vX_[329] + vX_[774] * vX_[316];
+ vX_[3464] = vX_[3448] + vX_[624] * vX_[236] + vX_[471] * vX_[331];
+ vX_[3357] = 0 - vX_[3365] + vX_[3464];
+ vX_[3257] = 0 - vX_[382];
+ vX_[3333] = 0 - vX_[3410];
+ vX_[3409] = vX_[471] * vX_[559] + vX_[3409] * vX_[505] + vX_[3408] * vX_[295] + vX_[729] * vX_[332] + vX_[406] * vX_[343] + vX_[578] * vX_[324] + vX_[582] * vX_[318] + vX_[3357] * vX_[315] + vX_[382] * vX_[553] + vX_[3257] * vX_[556] + vX_[3333] * vX_[504] + vX_[3408] * vX_[508];
+ vX_[471] = vX_[1278] * -3.44;
+ vX_[3285] = vX_[1205] * 0.1466472;
+ vX_[3348] = vX_[1024] * -0.5824264;
+ vX_[3381] = 0 - vX_[471] + vX_[3285] - vX_[3348];
+ vX_[3256] = vX_[1508] * vX_[343] + vX_[1278] * vX_[318] + vX_[1477] * vX_[315] + vX_[1476] * vX_[553] + vX_[1024] * vX_[502];
+ vX_[411] = vX_[439] * vX_[237] + vX_[1165] * vX_[265] + vX_[3381] * vX_[840] + vX_[411] * vX_[937] - vX_[3256] * x_in[27];
+ vX_[3347] = vX_[2122] + vX_[2140] + vX_[1953] - vX_[3410] - vX_[3408];
+ vX_[3301] = 0 - vX_[3347];
+ vX_[971] = vX_[971] + vX_[3301] * vX_[317];
+ vX_[744] = vX_[744] + vX_[3347] * vX_[236];
+ vX_[3126] = 0 - vX_[406];
+ vX_[3385] = 0 - vX_[582];
+ vX_[3206] = vX_[2152] + vX_[2149] + vX_[396] + vX_[1108] - vX_[3447] - vX_[3448];
+ vX_[3464] = vX_[3206] - vX_[3464];
+ vX_[3376] = 0 - vX_[451];
+ vX_[3303] = 0 - vX_[382];
+ vX_[3387] = 0 - vX_[3408];
+ vX_[3353] = vX_[2110] - vX_[2036];
+ vX_[3323] = vX_[1981] + vX_[2120];
+ vX_[3313] = vX_[3353] * vX_[316] + vX_[3449] * vX_[235];
+ vX_[3382] = vX_[3353] * vX_[329] + vX_[3449] * vX_[316];
+ vX_[1906] = vX_[2208] * 0.1104774 + vX_[1418] * 0.0004405 + vX_[1906] * 0.025941;
+ vX_[3302] = (0 - vX_[1380]) * -8.81e-05;
+ vX_[455] = vX_[3302] + vX_[455];
+ vX_[791] = vX_[1380] * 0.0004405 + vX_[2208] * 8.81e-05 + vX_[791] * 0.000468;
+ vX_[455] = vX_[1190] * vX_[973] + vX_[441] * vX_[970] + vX_[466] * vX_[966] + vX_[1906] * vX_[972] + vX_[455] * vX_[975] + vX_[455] * vX_[975] + vX_[791] * x_in[29];
+ vX_[3302] = vX_[3302] + vX_[457];
+ vX_[1380] = vX_[1380] * -0.1104774 + vX_[1418] * -8.81e-05 + vX_[795] * 0.026409;
+ jac[1070] = vX_[440] * vX_[984] + vX_[442] * vX_[979] + vX_[1380] * vX_[992] + vX_[791] * vX_[975] + vX_[454];
+ vX_[1380] = vX_[1235] * vX_[973] + vX_[399] * vX_[979] + vX_[465] * vX_[966] + vX_[1906] * vX_[975] + vX_[3302] * vX_[972] + vX_[3302] * vX_[972] - vX_[1380] * x_in[29];
+ vX_[3302] = vX_[1195] * 0.47422804 + vX_[1192] * -0.0825825 + vX_[1054] * 0.081641 + (0 - vX_[790]) * 2.1e-05 + vX_[1246] * 0.000102;
+ vX_[1906] = (0 - vX_[1054]) * 0.007418;
+ vX_[427] = vX_[429] + vX_[1906] - vX_[427];
+ vX_[429] = vX_[1323] * vX_[259] + vX_[1195] * vX_[275] + vX_[1192] * vX_[264] + vX_[790] * vX_[307] + vX_[1246] * vX_[303];
+ vX_[427] = vX_[1468] * -0.35 + vX_[455] * vX_[239] + vX_[1380] * vX_[241] + vX_[1784] * vX_[961] + vX_[409] * vX_[958] + vX_[1087] * vX_[952] + vX_[3302] * vX_[960] + vX_[427] * vX_[963] + vX_[427] * vX_[963] + vX_[429] * x_in[28];
+ vX_[1906] = vX_[379] - vX_[1906] - vX_[428];
+ vX_[428] = vX_[1323] * vX_[272] + vX_[1195] * vX_[276] + vX_[1192] * vX_[270] + vX_[790] * vX_[301] + vX_[1246] * vX_[307];
+ jac[1034] = vX_[412] * vX_[1002] + vX_[413] * vX_[969] + vX_[428] * vX_[999] + vX_[429] * vX_[963] + vX_[424];
+ vX_[428] = vX_[455] * vX_[242] + vX_[1380] * vX_[239] + vX_[1149] * vX_[961] + vX_[423] * vX_[969] + vX_[430] * vX_[952] + vX_[3302] * vX_[963] + vX_[1906] * vX_[960] + vX_[1906] * vX_[960] - vX_[428] * x_in[28];
+ vX_[3348] = vX_[471] - vX_[3285] + vX_[3348];
+ vX_[3285] = vX_[1508] * 0.1466472 + vX_[1477] * -0.5824264 + vX_[1205] * -5.1e-05 + (0 - vX_[1476]) * -0.123672 + (0 - vX_[1024]) * 3.6e-05;
+ vX_[471] = vX_[1476] * 0.022734;
+ vX_[400] = vX_[377] - vX_[400] - vX_[471];
+ vX_[377] = vX_[1508] * vX_[286] + vX_[1278] * vX_[553] + vX_[1477] * vX_[503] + vX_[1476] * vX_[501] + vX_[1024] * vX_[555];
+ vX_[400] = vX_[427] * vX_[238] + vX_[428] * vX_[265] + vX_[3348] * vX_[846] + vX_[714] * vX_[934] + vX_[3285] * vX_[840] + vX_[404] * vX_[937] + vX_[400] * vX_[950] + vX_[400] * vX_[950] - vX_[377] * x_in[27];
+ vX_[3458] = 0 - vX_[3458];
+ vX_[404] = vX_[3382] + vX_[765];
+ vX_[714] = 0 - vX_[971];
+ vX_[1906] = 0 - vX_[744];
+ vX_[3206] = 0 - vX_[3206] + vX_[3365];
+ vX_[3365] = 0 - vX_[624];
+ jac[350] = 0 - (vX_[1991] * vX_[993] + vX_[1895] * vX_[982] + vX_[3267] * vX_[673] + vX_[3449] * vX_[675] + vX_[1077] * vX_[332] + vX_[765] * vX_[233] + vX_[766] * vX_[315] + vX_[1113] * vX_[640] + vX_[1473] * vX_[340] + vX_[1108] * vX_[614] + vX_[759] * vX_[558] + vX_[774] * vX_[616] + vX_[757] * vX_[349] + vX_[3436] * vX_[563] + vX_[566] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[568] * x_in[22] + vX_[398] * x_in[19] + (vX_[1919] * vX_[993] + vX_[3409] * vX_[329] + vX_[568] * x_in[20]) * 0.3735 - (vX_[1943] * vX_[1017] + vX_[411] * x_in[23]) + (vX_[1895] * vX_[1017] + vX_[411] * x_in[19]) * 0.3735 + (vX_[1948] * vX_[1017] + vX_[436] * vX_[505] + vX_[624] * vX_[559] + vX_[3347] * vX_[342] + vX_[432] * vX_[344] + vX_[971] * vX_[315] + vX_[744] * vX_[324] + vX_[3126] * vX_[327] + vX_[3385] * vX_[343] + vX_[3464] * vX_[332] + vX_[3376] * vX_[503] + vX_[624] * vX_[556] + vX_[3303] * vX_[286] + vX_[3387] * vX_[510] + vX_[411] * x_in[18]) * 0.207 - (vX_[1919] * vX_[987] + vX_[3353] * vX_[672] + vX_[3323] * vX_[652] + vX_[3313] * vX_[315] + vX_[3382] * vX_[123] + vX_[801] * vX_[617] + vX_[1057] * vX_[350] + vX_[396] * vX_[639] + vX_[3276] * vX_[613] + vX_[3450] * vX_[615] + vX_[3406] * vX_[339] + vX_[393] * vX_[562] + vX_[723] * vX_[592] + vX_[392] * vX_[560] + vX_[388] * vX_[511] + vX_[3409] * vX_[330] + vX_[400] * x_in[20])) * vX_[746] + (vX_[1943] * vX_[993] + vX_[1991] * vX_[1017] + vX_[1919] * vX_[982] + vX_[1895] * vX_[987] + vX_[3353] * vX_[675] + vX_[3267] * vX_[671] + vX_[3449] * vX_[672] + vX_[3323] * vX_[332] + vX_[3458] * vX_[652] + vX_[3313] * vX_[233] + vX_[404] * vX_[315] + vX_[766] * vX_[123] + vX_[1113] * vX_[639] + vX_[801] * vX_[614] + vX_[1057] * vX_[340] + vX_[1473] * vX_[350] + vX_[396] * vX_[640] + vX_[1108] * vX_[617] + vX_[3276] * vX_[558] + vX_[3450] * vX_[616] + vX_[759] * vX_[613] + vX_[774] * vX_[615] + vX_[3406] * vX_[349] + vX_[757] * vX_[339] + vX_[393] * vX_[565] + vX_[3436] * vX_[561] + vX_[566] * vX_[562] + vX_[723] * vX_[593] + vX_[586] * vX_[592] + vX_[392] * vX_[507] + vX_[387] * vX_[560] + vX_[522] * vX_[511] + vX_[3409] * vX_[328] + (vX_[451] * vX_[557] + vX_[3488] * vX_[295] + vX_[382] * vX_[344] + vX_[3301] * vX_[319] + vX_[3410] * vX_[333] + vX_[714] * vX_[318] + vX_[689] * vX_[327] + vX_[1906] * vX_[315] + vX_[3472] * vX_[332] + vX_[3206] * vX_[343] + vX_[451] * vX_[553] + vX_[3365] * vX_[502] + vX_[382] * vX_[348] + vX_[3410] * vX_[499]) * 0.207 + vX_[568] * x_in[23] + vX_[411] * x_in[22] + vX_[398] * x_in[20] + vX_[400] * x_in[19] + (vX_[1895] * vX_[993] + vX_[3409] * vX_[316] + vX_[568] * x_in[19]) * -0.3735 + (vX_[1948] * vX_[993] + vX_[568] * x_in[18]) * -0.207 + (vX_[1919] * vX_[1017] + vX_[411] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[3353] = vX_[2255] - vX_[1949];
+ vX_[3301] = vX_[2137] + vX_[2250];
+ vX_[3347] = vX_[2127] + vX_[2257];
+ vX_[3409] = 0 - vX_[3347];
+ vX_[3488] = vX_[3353] * vX_[235];
+ vX_[3276] = vX_[3353] * vX_[316];
+ vX_[436] = vX_[2161] + vX_[2253];
+ vX_[586] = vX_[2280] + vX_[2286];
+ vX_[723] = vX_[1955] + vX_[2251];
+ vX_[3450] = vX_[2144] + vX_[1995];
+ vX_[396] = vX_[3450] * vX_[316] + vX_[723] * vX_[235];
+ vX_[432] = vX_[3450] * vX_[329] + vX_[723] * vX_[316];
+ vX_[3406] = vX_[2270] + vX_[2285];
+ vX_[387] = 0 - (vX_[2158] + vX_[2138]) + vX_[3406];
+ vX_[388] = vX_[2278] - vX_[2193];
+ vX_[392] = vX_[2163] + vX_[2249];
+ vX_[393] = vX_[2291] + vX_[2288];
+ vX_[522] = 0 - vX_[393];
+ vX_[3413] = vX_[388] * vX_[235];
+ vX_[3453] = vX_[388] * vX_[316];
+ vX_[566] = vX_[2164] + vX_[2162] * 0.207;
+ vX_[3436] = vX_[2067] * vX_[956] + vX_[2045] * vX_[316] + vX_[2162] * vX_[954] + vX_[2146] * vX_[955] + vX_[2187] * vX_[236];
+ vX_[757] = vX_[2162] * vX_[316] + vX_[2146] * vX_[235];
+ vX_[1057] = vX_[566] * vX_[967] + vX_[3436] * vX_[237] + vX_[757] * vX_[968];
+ vX_[774] = vX_[566] * vX_[953] + vX_[3436] * vX_[265] + vX_[757] * vX_[283];
+ vX_[759] = vX_[1057] * 1 / vX_[262];
+ vX_[801] = vX_[774] * 1 / vX_[262];
+ vX_[1108] = vX_[757] * 1 / vX_[262];
+ vX_[1473] = vX_[566] * 1 / vX_[313];
+ vX_[1113] = vX_[2067] * vX_[316] + vX_[2045] * vX_[235] + vX_[2162] * vX_[330] + vX_[2146] * vX_[328] + vX_[2187] * vX_[935];
+ vX_[3449] = vX_[1113] * 1 / vX_[313];
+ vX_[3267] = vX_[3436] * 1 / vX_[313];
+ vX_[3302] = vX_[2187] * 1 / vX_[313];
+ vX_[423] = vX_[757] * 1 / vX_[313];
+ vX_[430] = vX_[2162] * vX_[329] + vX_[2146] * vX_[316];
+ vX_[1149] = vX_[430] * 1 / vX_[313];
+ vX_[429] = vX_[2187] - (vX_[2201] + vX_[1473] * vX_[325] + vX_[3449] * vX_[287] + vX_[3267] * vX_[278] + vX_[3302] * vX_[313] + vX_[423] * vX_[338] + vX_[1149] * vX_[347]);
+ vX_[412] = vX_[429] * vX_[266] + vX_[430] * vX_[238];
+ vX_[413] = vX_[412] * 1 / vX_[262];
+ vX_[424] = vX_[429] * vX_[238] + vX_[430] * vX_[265];
+ vX_[379] = vX_[424] * 1 / vX_[262];
+ vX_[409] = vX_[757] - (vX_[759] * vX_[273] + vX_[801] * vX_[260] + vX_[1108] * vX_[262] + vX_[413] * vX_[269] + vX_[379] * vX_[250]);
+ vX_[1087] = vX_[1057] * vX_[241] + vX_[774] * vX_[239] + vX_[409] * vX_[244];
+ vX_[1784] = vX_[1057] * vX_[239] + vX_[774] * vX_[977] + vX_[409] * vX_[978];
+ vX_[1468] = vX_[409] - (vX_[1784] * 38.1956380581338 * 0.1104774 + vX_[1087] * 38.1956380581338 * -0.0004405 + vX_[409] * 38.1956380581338 * 0.026181);
+ vX_[399] = vX_[412] * vX_[239] + vX_[424] * vX_[242];
+ vX_[465] = vX_[1087] * 0.881 + (0 - vX_[1468]) * 0.0004405 + vX_[399] * -8.81e-05;
+ vX_[1235] = vX_[1784] * -0.881;
+ vX_[791] = vX_[1468] * 0.1104774;
+ vX_[440] = vX_[412] * vX_[241] + vX_[424] * vX_[239];
+ vX_[442] = vX_[440] * -8.81e-05;
+ vX_[454] = vX_[1235] - vX_[791] + vX_[442];
+ vX_[795] = vX_[465] * vX_[975] + vX_[454] * vX_[972];
+ vX_[1418] = vX_[774] * 3.146 + (0 - vX_[409]) * -0.0825825;
+ vX_[457] = vX_[1057] * -3.146;
+ vX_[441] = vX_[409] * 0.47422804;
+ vX_[466] = vX_[457] - vX_[441];
+ vX_[1190] = vX_[795] + vX_[1418] * vX_[963] + vX_[466] * vX_[960];
+ vX_[2208] = vX_[3436] * 3.44 + vX_[757] * -0.5824264;
+ vX_[3254] = 0 - vX_[2208];
+ vX_[3261] = vX_[566] * 3.44 + (0 - vX_[757]) * 0.1466472;
+ vX_[3238] = vX_[2196] + vX_[566] * vX_[332] + vX_[1113] * vX_[315] + vX_[3436] * vX_[324] + vX_[757] * vX_[503] + vX_[430] * vX_[556];
+ vX_[3115] = vX_[1190] + vX_[3254] * vX_[840] + vX_[3261] * vX_[950] + vX_[3238] * x_in[27];
+ vX_[3127] = 0 - vX_[465];
+ vX_[442] = 0 - vX_[1235] + vX_[791] - vX_[442];
+ vX_[791] = vX_[1113] + vX_[429] * 0.08;
+ vX_[1235] = vX_[791] + vX_[412] * -0.35;
+ vX_[3383] = vX_[1235] * 0.0004405 + vX_[1784] * -8.81e-05 + vX_[440] * -0.000227999999999999;
+ vX_[3311] = vX_[1235] * 0.1104774 + vX_[1087] * -8.81e-05 + (0 - vX_[399]) * 0.025713;
+ vX_[3352] = (0 - vX_[1784]) * 0.0004405;
+ vX_[3312] = (0 - vX_[1087]) * 0.1104774;
+ vX_[3329] = vX_[3352] + vX_[3312];
+ vX_[3329] = vX_[3127] * vX_[979] + vX_[442] * vX_[970] + vX_[3383] * vX_[975] + vX_[3311] * vX_[972] + vX_[3329] * vX_[966] + vX_[3329] * vX_[966];
+ vX_[3124] = vX_[1235] * 0.881 + (0 - vX_[399]) * 0.1104774 + vX_[440] * 0.0004405;
+ vX_[3096] = vX_[1784] * 0.00185880198235362 + vX_[1087] * 0.880992588508842 + vX_[399] * -8.81e-05;
+ vX_[3127] = vX_[3127] * vX_[966] + vX_[3124] * vX_[972] + vX_[3096] * x_in[29];
+ vX_[3181] = 0 - vX_[3124];
+ vX_[3133] = vX_[1784] * 0.414812462825713 + vX_[1087] * 0.00185880198235362 + vX_[440] * 8.81e-05;
+ vX_[442] = vX_[442] * vX_[966] + vX_[3181] * vX_[975] - vX_[3133] * x_in[29];
+ vX_[3196] = 0 - vX_[1418];
+ vX_[441] = 0 - vX_[457] + vX_[441];
+ vX_[457] = vX_[791] * -0.0825825 + (0 - vX_[409]) * 0.000102 + vX_[412] * 0.007418 + vX_[424] * 0.002735;
+ vX_[3229] = vX_[791] * 0.47422804 + vX_[409] * 2.1e-05 + (0 - vX_[412]) * 0.084376 + (0 - vX_[424]) * 0.007418;
+ vX_[2973] = (0 - vX_[1057]) * -0.0825825;
+ vX_[3195] = (0 - vX_[774]) * 0.47422804;
+ vX_[3149] = vX_[412] * 0.000102;
+ vX_[3038] = (0 - vX_[424]) * 2.1e-05;
+ vX_[3233] = vX_[2973] + vX_[3195] + vX_[3149] + vX_[3038];
+ vX_[3233] = vX_[3329] + vX_[3127] * vX_[978] + vX_[442] * vX_[244] + vX_[3196] * vX_[969] + vX_[441] * vX_[958] + vX_[457] * vX_[963] + vX_[3229] * vX_[960] + vX_[3233] * vX_[952] + vX_[3233] * vX_[952];
+ vX_[2981] = vX_[791] * 3.146 + (0 - vX_[412]) * 0.47422804 + vX_[424] * -0.0825825;
+ vX_[3224] = vX_[1057] * vX_[292] + vX_[774] * vX_[291] + vX_[412] * vX_[270] + vX_[424] * vX_[264];
+ vX_[3196] = vX_[3127] * vX_[239] + vX_[442] * vX_[241] + vX_[3196] * vX_[952] + vX_[2981] * vX_[960] + vX_[3224] * x_in[28];
+ vX_[3151] = 0 - vX_[2981];
+ vX_[3235] = vX_[1057] * vX_[290] + vX_[774] * vX_[292] + vX_[412] * vX_[276] + vX_[424] * vX_[275];
+ vX_[441] = vX_[3127] * vX_[977] + vX_[442] * vX_[239] + vX_[441] * vX_[952] + vX_[3151] * vX_[963] - vX_[3235] * x_in[28];
+ vX_[3201] = 0 - vX_[3261];
+ vX_[3171] = vX_[1113] * -0.5824264 + (0 - vX_[429]) * 0.022734 + vX_[757] * 3.6e-05 + vX_[430] * -0.133138;
+ vX_[3161] = vX_[1113] * 0.1466472 + vX_[429] * 0.009466 + (0 - vX_[757]) * -5.1e-05 + vX_[430] * 0.022734;
+ vX_[3230] = (0 - vX_[566]) * -0.5824264;
+ vX_[3150] = (0 - vX_[3436]) * 0.1466472;
+ vX_[3064] = (0 - vX_[429]) * 3.6e-05;
+ vX_[2974] = (0 - vX_[430]) * -5.1e-05;
+ vX_[2983] = vX_[3230] + vX_[3150] + vX_[3064] - vX_[2974];
+ vX_[2984] = vX_[2126] + vX_[566] * vX_[348] + vX_[1113] * vX_[502] + vX_[3436] * vX_[556] + vX_[757] * vX_[555] + vX_[430] * vX_[312];
+ vX_[2983] = vX_[3233] + vX_[3196] * vX_[968] + vX_[441] * vX_[283] + vX_[2208] * vX_[846] + vX_[3201] * vX_[957] + vX_[3171] * vX_[840] + vX_[3161] * vX_[950] + vX_[2983] * vX_[937] + vX_[2983] * vX_[937] + vX_[2984] * x_in[27];
+ vX_[3077] = vX_[2260] - vX_[2193];
+ vX_[3231] = vX_[3077] * vX_[316] + vX_[392] * vX_[235];
+ vX_[3159] = vX_[3077] * vX_[329] + vX_[392] * vX_[316];
+ vX_[3200] = vX_[3159] + vX_[3413];
+ vX_[3160] = vX_[3231] * vX_[329] + vX_[3200] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[3177] = 0 - vX_[3160];
+ vX_[3103] = vX_[2193] + vX_[3231] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[2963] = 0 - vX_[3103];
+ vX_[3039] = vX_[2193] + vX_[3159] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[2991] = vX_[2160] + vX_[2139] - vX_[586];
+ vX_[3054] = vX_[3406] * vX_[316] + vX_[586] * vX_[235];
+ vX_[3087] = 0 - (vX_[2991] * vX_[329] + vX_[387] * vX_[316]) + vX_[3054];
+ vX_[2962] = vX_[3087] + vX_[3103] * vX_[317];
+ vX_[3053] = 0 - vX_[2962];
+ vX_[3007] = vX_[3406] * vX_[329] + vX_[586] * vX_[316];
+ vX_[2831] = vX_[2991] * vX_[316] + vX_[387] * vX_[235] + vX_[3007];
+ vX_[3091] = 0 - vX_[3039];
+ vX_[2948] = vX_[2831] + vX_[3160] * vX_[317] + vX_[3091] * vX_[236];
+ vX_[3082] = vX_[2118] + vX_[2252];
+ vX_[3009] = vX_[436] * vX_[316] + vX_[3082] * vX_[329];
+ vX_[3093] = vX_[3009] * vX_[316] + vX_[432] * vX_[235];
+ vX_[3059] = vX_[2168] + vX_[2268];
+ vX_[393] = 0 - vX_[393];
+ vX_[3029] = vX_[3059] * vX_[329] + vX_[393] * vX_[316];
+ vX_[3019] = 0 - vX_[3029];
+ vX_[3088] = vX_[3093] + vX_[3019] * vX_[236] + vX_[2963] * vX_[331];
+ vX_[3008] = 0 - vX_[3088];
+ vX_[2960] = vX_[436] * vX_[235] + vX_[3082] * vX_[316];
+ vX_[2967] = vX_[2960] * vX_[329] + vX_[396] * vX_[316];
+ vX_[2826] = vX_[3059] * vX_[316] + vX_[522] * vX_[235];
+ vX_[2914] = 0 - vX_[2826];
+ vX_[2949] = vX_[2967] + vX_[2914] * vX_[317] + vX_[3039] * vX_[331];
+ vX_[3089] = vX_[2960] * vX_[316] + vX_[396] * vX_[235];
+ vX_[3017] = vX_[3089] + vX_[3029] * vX_[317];
+ vX_[3058] = vX_[3009] * vX_[329] + vX_[432] * vX_[316];
+ vX_[3018] = vX_[3058] + vX_[2826] * vX_[236] + vX_[3177] * vX_[331];
+ vX_[3035] = 0 - vX_[3017] + vX_[3018];
+ vX_[2945] = 0 - vX_[3160];
+ vX_[2813] = 0 - vX_[3103];
+ vX_[2963] = vX_[3177] * vX_[559] + vX_[2963] * vX_[505] + vX_[3039] * vX_[295] + vX_[3053] * vX_[332] + vX_[2948] * vX_[343] + vX_[3008] * vX_[324] + vX_[2949] * vX_[318] + vX_[3035] * vX_[315] + vX_[3160] * vX_[553] + vX_[2945] * vX_[556] + vX_[2813] * vX_[504] + vX_[3039] * vX_[508];
+ vX_[3177] = vX_[1113] * -3.44;
+ vX_[2889] = vX_[429] * 0.1466472;
+ vX_[2841] = vX_[430] * -0.5824264;
+ vX_[2904] = 0 - vX_[3177] + vX_[2889] - vX_[2841];
+ vX_[2937] = vX_[2063] + vX_[566] * vX_[343] + vX_[1113] * vX_[318] + vX_[3436] * vX_[315] + vX_[757] * vX_[553] + vX_[430] * vX_[502];
+ vX_[3201] = vX_[3196] * vX_[237] + vX_[441] * vX_[265] + vX_[2904] * vX_[840] + vX_[3201] * vX_[937] - vX_[2937] * x_in[27];
+ vX_[2812] = vX_[2260] + vX_[2278] + vX_[2193] - vX_[3103] - vX_[3039];
+ vX_[2903] = 0 - vX_[2812];
+ vX_[3054] = vX_[3054] + vX_[2903] * vX_[317];
+ vX_[3007] = vX_[3007] + vX_[2812] * vX_[236];
+ vX_[2857] = 0 - vX_[2948];
+ vX_[2681] = 0 - vX_[2949];
+ vX_[2941] = vX_[2290] + vX_[2287] + vX_[3082] + vX_[723] - vX_[3089] - vX_[3058];
+ vX_[3018] = vX_[2941] - vX_[3018];
+ vX_[2798] = 0 - vX_[3029];
+ vX_[2932] = 0 - vX_[3160];
+ vX_[2859] = 0 - vX_[3039];
+ vX_[2943] = vX_[2248] - vX_[1949];
+ vX_[2909] = vX_[2143] + vX_[2258];
+ vX_[2879] = vX_[2943] * vX_[316] + vX_[3301] * vX_[235];
+ vX_[2869] = vX_[2943] * vX_[329] + vX_[3301] * vX_[316];
+ vX_[1468] = vX_[1784] * 0.1104774 + vX_[1087] * 0.0004405 + vX_[1468] * 0.025941;
+ vX_[2938] = (0 - vX_[1235]) * -8.81e-05;
+ vX_[3312] = vX_[2938] + vX_[3312];
+ vX_[440] = vX_[1235] * 0.0004405 + vX_[1784] * 8.81e-05 + vX_[440] * 0.000468;
+ vX_[3312] = vX_[465] * vX_[973] + vX_[3181] * vX_[970] + vX_[3383] * vX_[966] + vX_[1468] * vX_[972] + vX_[3312] * vX_[975] + vX_[3312] * vX_[975] + vX_[440] * x_in[29];
+ vX_[2938] = vX_[2938] + vX_[3352];
+ vX_[1235] = vX_[1235] * -0.1104774 + vX_[1087] * -8.81e-05 + vX_[399] * 0.026409;
+ jac[1071] = vX_[3133] * vX_[984] + vX_[3096] * vX_[979] + vX_[1235] * vX_[992] + vX_[440] * vX_[975] + vX_[3329];
+ vX_[1235] = vX_[454] * vX_[973] + vX_[3124] * vX_[979] + vX_[3311] * vX_[966] + vX_[1468] * vX_[975] + vX_[2938] * vX_[972] + vX_[2938] * vX_[972] - vX_[1235] * x_in[29];
+ vX_[2938] = vX_[1057] * 0.47422804 + vX_[774] * -0.0825825 + vX_[409] * 0.081641 + (0 - vX_[412]) * 2.1e-05 + vX_[424] * 0.000102;
+ vX_[1468] = (0 - vX_[409]) * 0.007418;
+ vX_[3038] = vX_[3195] + vX_[1468] - vX_[3038];
+ vX_[3195] = vX_[791] * vX_[259] + vX_[1057] * vX_[275] + vX_[774] * vX_[264] + vX_[412] * vX_[307] + vX_[424] * vX_[303];
+ vX_[3038] = vX_[795] * -0.35 + vX_[3312] * vX_[239] + vX_[1235] * vX_[241] + vX_[1418] * vX_[961] + vX_[3151] * vX_[958] + vX_[457] * vX_[952] + vX_[2938] * vX_[960] + vX_[3038] * vX_[963] + vX_[3038] * vX_[963] + vX_[3195] * x_in[28];
+ vX_[1468] = vX_[2973] - vX_[1468] - vX_[3149];
+ vX_[3149] = vX_[791] * vX_[272] + vX_[1057] * vX_[276] + vX_[774] * vX_[270] + vX_[412] * vX_[301] + vX_[424] * vX_[307];
+ jac[1035] = vX_[3235] * vX_[1002] + vX_[3224] * vX_[969] + vX_[3149] * vX_[999] + vX_[3195] * vX_[963] + vX_[3233];
+ vX_[3149] = vX_[3312] * vX_[242] + vX_[1235] * vX_[239] + vX_[466] * vX_[961] + vX_[2981] * vX_[969] + vX_[3229] * vX_[952] + vX_[2938] * vX_[963] + vX_[1468] * vX_[960] + vX_[1468] * vX_[960] - vX_[3149] * x_in[28];
+ vX_[2841] = vX_[3177] - vX_[2889] + vX_[2841];
+ vX_[2889] = vX_[566] * 0.1466472 + vX_[3436] * -0.5824264 + vX_[429] * -5.1e-05 + (0 - vX_[757]) * -0.123672 + (0 - vX_[430]) * 3.6e-05;
+ vX_[3177] = vX_[757] * 0.022734;
+ vX_[3064] = vX_[3230] - vX_[3064] - vX_[3177];
+ vX_[3230] = vX_[2131] + vX_[566] * vX_[286] + vX_[1113] * vX_[553] + vX_[3436] * vX_[503] + vX_[757] * vX_[501] + vX_[430] * vX_[555];
+ vX_[3064] = vX_[3038] * vX_[238] + vX_[3149] * vX_[265] + vX_[2841] * vX_[846] + vX_[3261] * vX_[934] + vX_[2889] * vX_[840] + vX_[3161] * vX_[937] + vX_[3064] * vX_[950] + vX_[3064] * vX_[950] - vX_[3230] * x_in[27];
+ vX_[3347] = 0 - vX_[3347];
+ vX_[3161] = vX_[2869] + vX_[3488];
+ vX_[3261] = 0 - vX_[3054];
+ vX_[1468] = 0 - vX_[3007];
+ vX_[2941] = 0 - vX_[2941] + vX_[3017];
+ vX_[3017] = 0 - vX_[2826];
+ jac[351] = 0 - (vX_[2063] * vX_[1754] + vX_[2131] * vX_[1898] + vX_[2045] * vX_[993] + vX_[2146] * vX_[982] + vX_[3353] * vX_[673] + vX_[3301] * vX_[675] + vX_[3409] * vX_[332] + vX_[3488] * vX_[233] + vX_[3276] * vX_[315] + vX_[436] * vX_[640] + vX_[586] * vX_[340] + vX_[723] * vX_[614] + vX_[396] * vX_[558] + vX_[432] * vX_[616] + vX_[387] * vX_[349] + vX_[388] * vX_[563] + vX_[392] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[3115] * x_in[22] + vX_[2983] * x_in[19] + (vX_[2063] * vX_[1810] + vX_[2162] * vX_[993] + vX_[2963] * vX_[329] + vX_[3115] * x_in[20]) * 0.3735 - (vX_[2196] * vX_[1855] + vX_[2067] * vX_[1017] + vX_[3201] * x_in[23]) + (vX_[2196] * vX_[1898] + vX_[2146] * vX_[1017] + vX_[3201] * x_in[19]) * 0.3735 + (vX_[2196] * vX_[1899] + vX_[2187] * vX_[1017] + vX_[3019] * vX_[505] + vX_[2826] * vX_[559] + vX_[2812] * vX_[342] + vX_[3091] * vX_[344] + vX_[3054] * vX_[315] + vX_[3007] * vX_[324] + vX_[2857] * vX_[327] + vX_[2681] * vX_[343] + vX_[3018] * vX_[332] + vX_[2798] * vX_[503] + vX_[2826] * vX_[556] + vX_[2932] * vX_[286] + vX_[2859] * vX_[510] + vX_[3201] * x_in[18]) * 0.207 - (vX_[2126] * vX_[1810] + vX_[2162] * vX_[987] + vX_[2943] * vX_[672] + vX_[2909] * vX_[652] + vX_[2879] * vX_[315] + vX_[2869] * vX_[123] + vX_[3450] * vX_[617] + vX_[3406] * vX_[350] + vX_[3082] * vX_[639] + vX_[2960] * vX_[613] + vX_[3009] * vX_[615] + vX_[2991] * vX_[339] + vX_[3077] * vX_[562] + vX_[3059] * vX_[592] + vX_[3231] * vX_[560] + vX_[3159] * vX_[511] + vX_[2963] * vX_[330] + vX_[3064] * x_in[20])) * vX_[746] + (vX_[2063] * vX_[1855] + vX_[2196] * vX_[1754] + vX_[2131] * vX_[1810] + vX_[2126] * vX_[1898] + vX_[2067] * vX_[993] + vX_[2045] * vX_[1017] + vX_[2162] * vX_[982] + vX_[2146] * vX_[987] + vX_[2943] * vX_[675] + vX_[3353] * vX_[671] + vX_[3301] * vX_[672] + vX_[2909] * vX_[332] + vX_[3347] * vX_[652] + vX_[2879] * vX_[233] + vX_[3161] * vX_[315] + vX_[3276] * vX_[123] + vX_[436] * vX_[639] + vX_[3450] * vX_[614] + vX_[3406] * vX_[340] + vX_[586] * vX_[350] + vX_[3082] * vX_[640] + vX_[723] * vX_[617] + vX_[2960] * vX_[558] + vX_[3009] * vX_[616] + vX_[396] * vX_[613] + vX_[432] * vX_[615] + vX_[2991] * vX_[349] + vX_[387] * vX_[339] + vX_[3077] * vX_[565] + vX_[388] * vX_[561] + vX_[392] * vX_[562] + vX_[3059] * vX_[593] + vX_[393] * vX_[592] + vX_[3231] * vX_[507] + vX_[3200] * vX_[560] + vX_[3453] * vX_[511] + vX_[2963] * vX_[328] + (vX_[3029] * vX_[557] + vX_[2914] * vX_[295] + vX_[3160] * vX_[344] + vX_[2903] * vX_[319] + vX_[3103] * vX_[333] + vX_[3261] * vX_[318] + vX_[2962] * vX_[327] + vX_[1468] * vX_[315] + vX_[3088] * vX_[332] + vX_[2941] * vX_[343] + vX_[3029] * vX_[553] + vX_[3017] * vX_[502] + vX_[3160] * vX_[348] + vX_[3103] * vX_[499]) * 0.207 + vX_[3115] * x_in[23] + vX_[3201] * x_in[22] + vX_[2983] * x_in[20] + vX_[3064] * x_in[19] + (vX_[2063] * vX_[1898] + vX_[2146] * vX_[993] + vX_[2963] * vX_[316] + vX_[3115] * x_in[19]) * -0.3735 + (vX_[2063] * vX_[1899] + vX_[2187] * vX_[993] + vX_[3115] * x_in[18]) * -0.207 + (vX_[2196] * vX_[1810] + vX_[2162] * vX_[1017] + vX_[3201] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[2943] = vX_[2407] - vX_[2325];
+ vX_[2903] = vX_[2322] + vX_[2402];
+ vX_[2812] = vX_[2292] + vX_[2409];
+ vX_[2963] = 0 - vX_[2812];
+ vX_[2914] = vX_[2943] * vX_[235];
+ vX_[2960] = vX_[2943] * vX_[316];
+ vX_[3019] = vX_[2266] + vX_[2405];
+ vX_[393] = vX_[2432] + vX_[2438];
+ vX_[3059] = vX_[2282] + vX_[2403];
+ vX_[3009] = vX_[2229] + vX_[2235];
+ vX_[3082] = vX_[3009] * vX_[316] + vX_[3059] * vX_[235];
+ vX_[3091] = vX_[3009] * vX_[329] + vX_[3059] * vX_[316];
+ vX_[2991] = vX_[2422] + vX_[2437];
+ vX_[3200] = 0 - (vX_[2091] + vX_[2357]) + vX_[2991];
+ vX_[3159] = vX_[2430] - vX_[2317];
+ vX_[3231] = vX_[2275] + vX_[2401];
+ vX_[3077] = vX_[2443] + vX_[2440];
+ vX_[3453] = 0 - vX_[3077];
+ vX_[3413] = vX_[3159] * vX_[235];
+ vX_[522] = vX_[3159] * vX_[316];
+ vX_[392] = vX_[2265] + vX_[1993] * 0.207;
+ vX_[388] = vX_[2241] * vX_[956] + vX_[2277] * vX_[316] + vX_[1993] * vX_[954] + vX_[2128] * vX_[955] + vX_[2230] * vX_[236];
+ vX_[387] = vX_[1993] * vX_[316] + vX_[2128] * vX_[235];
+ vX_[3406] = vX_[392] * vX_[967] + vX_[388] * vX_[237] + vX_[387] * vX_[968];
+ vX_[432] = vX_[392] * vX_[953] + vX_[388] * vX_[265] + vX_[387] * vX_[283];
+ vX_[396] = vX_[3406] * 1 / vX_[262];
+ vX_[3450] = vX_[432] * 1 / vX_[262];
+ vX_[723] = vX_[387] * 1 / vX_[262];
+ vX_[586] = vX_[392] * 1 / vX_[313];
+ vX_[436] = vX_[2241] * vX_[316] + vX_[2277] * vX_[235] + vX_[1993] * vX_[330] + vX_[2128] * vX_[328] + vX_[2230] * vX_[935];
+ vX_[3301] = vX_[436] * 1 / vX_[313];
+ vX_[3353] = vX_[388] * 1 / vX_[313];
+ vX_[2126] = vX_[2230] * 1 / vX_[313];
+ vX_[2131] = vX_[387] * 1 / vX_[313];
+ vX_[2196] = vX_[1993] * vX_[329] + vX_[2128] * vX_[316];
+ vX_[2063] = vX_[2196] * 1 / vX_[313];
+ vX_[2938] = vX_[2230] - (vX_[2306] + vX_[586] * vX_[325] + vX_[3301] * vX_[287] + vX_[3353] * vX_[278] + vX_[2126] * vX_[313] + vX_[2131] * vX_[338] + vX_[2063] * vX_[347]);
+ vX_[2981] = vX_[2938] * vX_[266] + vX_[2196] * vX_[238];
+ vX_[3229] = vX_[2981] * 1 / vX_[262];
+ vX_[466] = vX_[2938] * vX_[238] + vX_[2196] * vX_[265];
+ vX_[3195] = vX_[466] * 1 / vX_[262];
+ vX_[3235] = vX_[387] - (vX_[2339] + vX_[396] * vX_[273] + vX_[3450] * vX_[260] + vX_[723] * vX_[262] + vX_[3229] * vX_[269] + vX_[3195] * vX_[250]);
+ vX_[3224] = vX_[3406] * vX_[241] + vX_[432] * vX_[239] + vX_[3235] * vX_[244];
+ vX_[3233] = vX_[3406] * vX_[239] + vX_[432] * vX_[977] + vX_[3235] * vX_[978];
+ vX_[2973] = vX_[3235] - (vX_[3233] * 38.1956380581338 * 0.1104774 + vX_[3224] * 38.1956380581338 * -0.0004405 + vX_[3235] * 38.1956380581338 * 0.026181);
+ vX_[3151] = vX_[2981] * vX_[239] + vX_[466] * vX_[242];
+ vX_[457] = vX_[3224] * 0.881 + (0 - vX_[2973]) * 0.0004405 + vX_[3151] * -8.81e-05;
+ vX_[1418] = vX_[3233] * -0.881;
+ vX_[795] = vX_[2973] * 0.1104774;
+ vX_[3124] = vX_[2981] * vX_[241] + vX_[466] * vX_[239];
+ vX_[3311] = vX_[3124] * -8.81e-05;
+ vX_[454] = vX_[1418] - vX_[795] + vX_[3311];
+ vX_[440] = vX_[457] * vX_[975] + vX_[454] * vX_[972];
+ vX_[3133] = vX_[432] * 3.146 + (0 - vX_[3235]) * -0.0825825;
+ vX_[3096] = vX_[3406] * -3.146;
+ vX_[3329] = vX_[3235] * 0.47422804;
+ vX_[399] = vX_[3096] - vX_[3329];
+ vX_[1087] = vX_[440] + vX_[3133] * vX_[963] + vX_[399] * vX_[960];
+ vX_[3352] = vX_[388] * 3.44 + vX_[387] * -0.5824264;
+ vX_[3181] = 0 - vX_[3352];
+ vX_[3383] = vX_[392] * 3.44 + (0 - vX_[387]) * 0.1466472;
+ vX_[465] = vX_[2302] + vX_[392] * vX_[332] + vX_[436] * vX_[315] + vX_[388] * vX_[324] + vX_[387] * vX_[503] + vX_[2196] * vX_[556];
+ vX_[1784] = vX_[1087] + vX_[3181] * vX_[840] + vX_[3383] * vX_[950] + vX_[465] * x_in[27];
+ vX_[2858] = 0 - vX_[457];
+ vX_[3311] = 0 - vX_[1418] + vX_[795] - vX_[3311];
+ vX_[795] = vX_[436] + vX_[2938] * 0.08;
+ vX_[1418] = vX_[795] + vX_[2981] * -0.35;
+ vX_[2810] = vX_[1418] * 0.0004405 + vX_[3233] * -8.81e-05 + vX_[3124] * -0.000227999999999999;
+ vX_[2817] = vX_[1418] * 0.1104774 + vX_[3224] * -8.81e-05 + (0 - vX_[3151]) * 0.025713;
+ vX_[2676] = (0 - vX_[3233]) * 0.0004405;
+ vX_[2764] = (0 - vX_[3224]) * 0.1104774;
+ vX_[2799] = vX_[2676] + vX_[2764];
+ vX_[2799] = vX_[2858] * vX_[979] + vX_[3311] * vX_[970] + vX_[2810] * vX_[975] + vX_[2817] * vX_[972] + vX_[2799] * vX_[966] + vX_[2799] * vX_[966];
+ vX_[2939] = vX_[1418] * 0.881 + (0 - vX_[3151]) * 0.1104774 + vX_[3124] * 0.0004405;
+ vX_[2867] = vX_[3233] * 0.00185880198235362 + vX_[3224] * 0.880992588508842 + vX_[3151] * -8.81e-05;
+ vX_[2858] = vX_[2858] * vX_[966] + vX_[2939] * vX_[972] + vX_[2867] * x_in[29];
+ vX_[2908] = 0 - vX_[2939];
+ vX_[2868] = vX_[3233] * 0.414812462825713 + vX_[3224] * 0.00185880198235362 + vX_[3124] * 8.81e-05;
+ vX_[3311] = vX_[3311] * vX_[966] + vX_[2908] * vX_[975] - vX_[2868] * x_in[29];
+ vX_[2885] = 0 - vX_[3133];
+ vX_[3329] = 0 - vX_[3096] + vX_[3329];
+ vX_[3096] = vX_[795] * -0.0825825 + (0 - vX_[3235]) * 0.000102 + vX_[2981] * 0.007418 + vX_[466] * 0.002735;
+ vX_[2795] = vX_[795] * 0.47422804 + vX_[3235] * 2.1e-05 + (0 - vX_[2981]) * 0.084376 + (0 - vX_[466]) * 0.007418;
+ vX_[2654] = (0 - vX_[3406]) * -0.0825825;
+ vX_[2739] = (0 - vX_[432]) * 0.47422804;
+ vX_[2691] = vX_[2981] * 0.000102;
+ vX_[2754] = (0 - vX_[466]) * 2.1e-05;
+ vX_[2787] = vX_[2654] + vX_[2739] + vX_[2691] + vX_[2754];
+ vX_[2787] = vX_[2799] + vX_[2858] * vX_[978] + vX_[3311] * vX_[244] + vX_[2885] * vX_[969] + vX_[3329] * vX_[958] + vX_[3096] * vX_[963] + vX_[2795] * vX_[960] + vX_[2787] * vX_[952] + vX_[2787] * vX_[952];
+ vX_[2531] = vX_[795] * 3.146 + (0 - vX_[2981]) * 0.47422804 + vX_[466] * -0.0825825;
+ vX_[2753] = vX_[2129] + vX_[3406] * vX_[292] + vX_[432] * vX_[291] + vX_[2981] * vX_[270] + vX_[466] * vX_[264];
+ vX_[2885] = vX_[2858] * vX_[239] + vX_[3311] * vX_[241] + vX_[2885] * vX_[952] + vX_[2531] * vX_[960] + vX_[2753] * x_in[28];
+ vX_[2707] = 0 - vX_[2531];
+ vX_[2596] = vX_[2264] + vX_[3406] * vX_[290] + vX_[432] * vX_[292] + vX_[2981] * vX_[276] + vX_[466] * vX_[275];
+ vX_[3329] = vX_[2858] * vX_[977] + vX_[3311] * vX_[239] + vX_[3329] * vX_[952] + vX_[2707] * vX_[963] - vX_[2596] * x_in[28];
+ vX_[2791] = 0 - vX_[3383];
+ vX_[2539] = vX_[436] * -0.5824264 + (0 - vX_[2938]) * 0.022734 + vX_[387] * 3.6e-05 + vX_[2196] * -0.133138;
+ vX_[2782] = vX_[436] * 0.1466472 + vX_[2938] * 0.009466 + (0 - vX_[387]) * -5.1e-05 + vX_[2196] * 0.022734;
+ vX_[2709] = (0 - vX_[392]) * -0.5824264;
+ vX_[2793] = (0 - vX_[388]) * 0.1466472;
+ vX_[2759] = (0 - vX_[2938]) * 3.6e-05;
+ vX_[2729] = (0 - vX_[2196]) * -5.1e-05;
+ vX_[2719] = vX_[2709] + vX_[2793] + vX_[2759] - vX_[2729];
+ vX_[2788] = vX_[2281] + vX_[392] * vX_[348] + vX_[436] * vX_[502] + vX_[388] * vX_[556] + vX_[387] * vX_[555] + vX_[2196] * vX_[312];
+ vX_[2719] = vX_[2787] + vX_[2885] * vX_[968] + vX_[3329] * vX_[283] + vX_[3352] * vX_[846] + vX_[2791] * vX_[957] + vX_[2539] * vX_[840] + vX_[2782] * vX_[950] + vX_[2719] * vX_[937] + vX_[2719] * vX_[937] + vX_[2788] * x_in[27];
+ vX_[2708] = vX_[2412] - vX_[2317];
+ vX_[2622] = vX_[2708] * vX_[316] + vX_[3231] * vX_[235];
+ vX_[2532] = vX_[2708] * vX_[329] + vX_[3231] * vX_[316];
+ vX_[2541] = vX_[2532] + vX_[3413];
+ vX_[2542] = vX_[2622] * vX_[329] + vX_[2541] * vX_[316] + vX_[522] * vX_[235];
+ vX_[2635] = 0 - vX_[2542];
+ vX_[2789] = vX_[2317] + vX_[2622] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[2717] = 0 - vX_[2789];
+ vX_[2758] = vX_[2317] + vX_[2532] * vX_[329] + vX_[522] * vX_[316];
+ vX_[2718] = vX_[2276] + vX_[2353] - vX_[393];
+ vX_[2735] = vX_[2991] * vX_[316] + vX_[393] * vX_[235];
+ vX_[2661] = 0 - (vX_[2718] * vX_[329] + vX_[3200] * vX_[316]) + vX_[2735];
+ vX_[2521] = vX_[2661] + vX_[2789] * vX_[317];
+ vX_[2597] = 0 - vX_[2521];
+ vX_[2549] = vX_[2991] * vX_[329] + vX_[393] * vX_[316];
+ vX_[2612] = vX_[2718] * vX_[316] + vX_[3200] * vX_[235] + vX_[2549];
+ vX_[2645] = 0 - vX_[2758];
+ vX_[2520] = vX_[2612] + vX_[2542] * vX_[317] + vX_[2645] * vX_[236];
+ vX_[2611] = vX_[2331] + vX_[2404];
+ vX_[2565] = vX_[3019] * vX_[316] + vX_[2611] * vX_[329];
+ vX_[2390] = vX_[2565] * vX_[316] + vX_[3091] * vX_[235];
+ vX_[2649] = vX_[2294] + vX_[2420];
+ vX_[3077] = 0 - vX_[3077];
+ vX_[2470] = vX_[2649] * vX_[329] + vX_[3077] * vX_[316];
+ vX_[2640] = 0 - vX_[2470];
+ vX_[2567] = vX_[2390] + vX_[2640] * vX_[236] + vX_[2717] * vX_[331];
+ vX_[2651] = 0 - vX_[2567];
+ vX_[2617] = vX_[3019] * vX_[235] + vX_[2611] * vX_[316];
+ vX_[2587] = vX_[2617] * vX_[329] + vX_[3082] * vX_[316];
+ vX_[2577] = vX_[2649] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[2646] = 0 - vX_[2577];
+ vX_[2566] = vX_[2587] + vX_[2646] * vX_[317] + vX_[2758] * vX_[331];
+ vX_[2518] = vX_[2617] * vX_[316] + vX_[3082] * vX_[235];
+ vX_[2525] = vX_[2518] + vX_[2470] * vX_[317];
+ vX_[2502] = vX_[2565] * vX_[329] + vX_[3091] * vX_[316];
+ vX_[2379] = vX_[2502] + vX_[2577] * vX_[236] + vX_[2635] * vX_[331];
+ vX_[2391] = 0 - vX_[2525] + vX_[2379];
+ vX_[2647] = 0 - vX_[2542];
+ vX_[2575] = 0 - vX_[2789];
+ vX_[2717] = vX_[2635] * vX_[559] + vX_[2717] * vX_[505] + vX_[2758] * vX_[295] + vX_[2597] * vX_[332] + vX_[2520] * vX_[343] + vX_[2651] * vX_[324] + vX_[2566] * vX_[318] + vX_[2391] * vX_[315] + vX_[2542] * vX_[553] + vX_[2647] * vX_[556] + vX_[2575] * vX_[504] + vX_[2758] * vX_[508];
+ vX_[2635] = vX_[436] * -3.44;
+ vX_[2616] = vX_[2938] * 0.1466472;
+ vX_[2576] = vX_[2196] * -0.5824264;
+ vX_[2593] = 0 - vX_[2635] + vX_[2616] - vX_[2576];
+ vX_[2388] = vX_[2269] + vX_[392] * vX_[343] + vX_[436] * vX_[318] + vX_[388] * vX_[315] + vX_[387] * vX_[553] + vX_[2196] * vX_[502];
+ vX_[2791] = vX_[2885] * vX_[237] + vX_[3329] * vX_[265] + vX_[2593] * vX_[840] + vX_[2791] * vX_[937] - vX_[2388] * x_in[27];
+ vX_[2369] = vX_[2412] + vX_[2430] + vX_[2317] - vX_[2789] - vX_[2758];
+ vX_[2445] = 0 - vX_[2369];
+ vX_[2735] = vX_[2735] + vX_[2445] * vX_[317];
+ vX_[2549] = vX_[2549] + vX_[2369] * vX_[236];
+ vX_[2397] = 0 - vX_[2520];
+ vX_[2460] = 0 - vX_[2566];
+ vX_[2493] = vX_[2442] + vX_[2439] + vX_[2611] + vX_[3059] - vX_[2518] - vX_[2502];
+ vX_[2379] = vX_[2493] - vX_[2379];
+ vX_[2368] = 0 - vX_[2470];
+ vX_[2459] = 0 - vX_[2542];
+ vX_[2413] = 0 - vX_[2758];
+ vX_[2238] = vX_[2400] - vX_[2325];
+ vX_[2497] = vX_[2267] + vX_[2410];
+ vX_[2318] = vX_[2238] * vX_[316] + vX_[2903] * vX_[235];
+ vX_[2488] = vX_[2238] * vX_[329] + vX_[2903] * vX_[316];
+ vX_[2973] = vX_[3233] * 0.1104774 + vX_[3224] * 0.0004405 + vX_[2973] * 0.025941;
+ vX_[2415] = (0 - vX_[1418]) * -8.81e-05;
+ vX_[2764] = vX_[2415] + vX_[2764];
+ vX_[3124] = vX_[1418] * 0.0004405 + vX_[3233] * 8.81e-05 + vX_[3124] * 0.000468;
+ vX_[2764] = vX_[457] * vX_[973] + vX_[2908] * vX_[970] + vX_[2810] * vX_[966] + vX_[2973] * vX_[972] + vX_[2764] * vX_[975] + vX_[2764] * vX_[975] + vX_[3124] * x_in[29];
+ vX_[2415] = vX_[2415] + vX_[2676];
+ vX_[1418] = vX_[1418] * -0.1104774 + vX_[3224] * -8.81e-05 + vX_[3151] * 0.026409;
+ jac[1072] = vX_[2868] * vX_[984] + vX_[2867] * vX_[979] + vX_[1418] * vX_[992] + vX_[3124] * vX_[975] + vX_[2799];
+ vX_[1418] = vX_[454] * vX_[973] + vX_[2939] * vX_[979] + vX_[2817] * vX_[966] + vX_[2973] * vX_[975] + vX_[2415] * vX_[972] + vX_[2415] * vX_[972] - vX_[1418] * x_in[29];
+ vX_[2415] = vX_[3406] * 0.47422804 + vX_[432] * -0.0825825 + vX_[3235] * 0.081641 + (0 - vX_[2981]) * 2.1e-05 + vX_[466] * 0.000102;
+ vX_[2973] = (0 - vX_[3235]) * 0.007418;
+ vX_[2754] = vX_[2739] + vX_[2973] - vX_[2754];
+ vX_[2739] = vX_[2334] + vX_[795] * vX_[259] + vX_[3406] * vX_[275] + vX_[432] * vX_[264] + vX_[2981] * vX_[307] + vX_[466] * vX_[303];
+ vX_[2754] = vX_[440] * -0.35 + vX_[2764] * vX_[239] + vX_[1418] * vX_[241] + vX_[3133] * vX_[961] + vX_[2707] * vX_[958] + vX_[3096] * vX_[952] + vX_[2415] * vX_[960] + vX_[2754] * vX_[963] + vX_[2754] * vX_[963] + vX_[2739] * x_in[28];
+ vX_[2973] = vX_[2654] - vX_[2973] - vX_[2691];
+ vX_[2691] = vX_[2103] + vX_[795] * vX_[272] + vX_[3406] * vX_[276] + vX_[432] * vX_[270] + vX_[2981] * vX_[301] + vX_[466] * vX_[307];
+ jac[1036] = vX_[2596] * vX_[1002] + vX_[2753] * vX_[969] + vX_[2691] * vX_[999] + vX_[2739] * vX_[963] + vX_[2787];
+ vX_[2691] = vX_[2764] * vX_[242] + vX_[1418] * vX_[239] + vX_[399] * vX_[961] + vX_[2531] * vX_[969] + vX_[2795] * vX_[952] + vX_[2415] * vX_[963] + vX_[2973] * vX_[960] + vX_[2973] * vX_[960] - vX_[2691] * x_in[28];
+ vX_[2576] = vX_[2635] - vX_[2616] + vX_[2576];
+ vX_[2616] = vX_[392] * 0.1466472 + vX_[388] * -0.5824264 + vX_[2938] * -5.1e-05 + (0 - vX_[387]) * -0.123672 + (0 - vX_[2196]) * 3.6e-05;
+ vX_[2635] = vX_[387] * 0.022734;
+ vX_[2759] = vX_[2709] - vX_[2759] - vX_[2635];
+ vX_[2709] = vX_[2298] + vX_[392] * vX_[286] + vX_[436] * vX_[553] + vX_[388] * vX_[503] + vX_[387] * vX_[501] + vX_[2196] * vX_[555];
+ vX_[2759] = vX_[2754] * vX_[238] + vX_[2691] * vX_[265] + vX_[2576] * vX_[846] + vX_[3383] * vX_[934] + vX_[2616] * vX_[840] + vX_[2782] * vX_[937] + vX_[2759] * vX_[950] + vX_[2759] * vX_[950] - vX_[2709] * x_in[27];
+ vX_[2812] = 0 - vX_[2812];
+ vX_[2782] = vX_[2488] + vX_[2914];
+ vX_[3383] = 0 - vX_[2735];
+ vX_[2973] = 0 - vX_[2549];
+ vX_[2493] = 0 - vX_[2493] + vX_[2525];
+ vX_[2525] = 0 - vX_[2577];
+ jac[352] = 0 - (vX_[2269] * vX_[1754] + vX_[2298] * vX_[1898] + vX_[2277] * vX_[993] + vX_[2128] * vX_[982] + vX_[2943] * vX_[673] + vX_[2903] * vX_[675] + vX_[2963] * vX_[332] + vX_[2914] * vX_[233] + vX_[2960] * vX_[315] + vX_[3019] * vX_[640] + vX_[393] * vX_[340] + vX_[3059] * vX_[614] + vX_[3082] * vX_[558] + vX_[3091] * vX_[616] + vX_[3200] * vX_[349] + vX_[3159] * vX_[563] + vX_[3231] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[1784] * x_in[22] + vX_[2719] * x_in[19] + (vX_[2269] * vX_[1810] + vX_[1993] * vX_[993] + vX_[2717] * vX_[329] + vX_[1784] * x_in[20]) * 0.3735 - (vX_[2302] * vX_[1855] + vX_[2241] * vX_[1017] + vX_[2791] * x_in[23]) + (vX_[2302] * vX_[1898] + vX_[2128] * vX_[1017] + vX_[2791] * x_in[19]) * 0.3735 + (vX_[2302] * vX_[1899] + vX_[2230] * vX_[1017] + vX_[2640] * vX_[505] + vX_[2577] * vX_[559] + vX_[2369] * vX_[342] + vX_[2645] * vX_[344] + vX_[2735] * vX_[315] + vX_[2549] * vX_[324] + vX_[2397] * vX_[327] + vX_[2460] * vX_[343] + vX_[2379] * vX_[332] + vX_[2368] * vX_[503] + vX_[2577] * vX_[556] + vX_[2459] * vX_[286] + vX_[2413] * vX_[510] + vX_[2791] * x_in[18]) * 0.207 - (vX_[2281] * vX_[1810] + vX_[1993] * vX_[987] + vX_[2238] * vX_[672] + vX_[2497] * vX_[652] + vX_[2318] * vX_[315] + vX_[2488] * vX_[123] + vX_[3009] * vX_[617] + vX_[2991] * vX_[350] + vX_[2611] * vX_[639] + vX_[2617] * vX_[613] + vX_[2565] * vX_[615] + vX_[2718] * vX_[339] + vX_[2708] * vX_[562] + vX_[2649] * vX_[592] + vX_[2622] * vX_[560] + vX_[2532] * vX_[511] + vX_[2717] * vX_[330] + vX_[2759] * x_in[20])) * vX_[746] + (vX_[2269] * vX_[1855] + vX_[2302] * vX_[1754] + vX_[2298] * vX_[1810] + vX_[2281] * vX_[1898] + vX_[2241] * vX_[993] + vX_[2277] * vX_[1017] + vX_[1993] * vX_[982] + vX_[2128] * vX_[987] + vX_[2238] * vX_[675] + vX_[2943] * vX_[671] + vX_[2903] * vX_[672] + vX_[2497] * vX_[332] + vX_[2812] * vX_[652] + vX_[2318] * vX_[233] + vX_[2782] * vX_[315] + vX_[2960] * vX_[123] + vX_[3019] * vX_[639] + vX_[3009] * vX_[614] + vX_[2991] * vX_[340] + vX_[393] * vX_[350] + vX_[2611] * vX_[640] + vX_[3059] * vX_[617] + vX_[2617] * vX_[558] + vX_[2565] * vX_[616] + vX_[3082] * vX_[613] + vX_[3091] * vX_[615] + vX_[2718] * vX_[349] + vX_[3200] * vX_[339] + vX_[2708] * vX_[565] + vX_[3159] * vX_[561] + vX_[3231] * vX_[562] + vX_[2649] * vX_[593] + vX_[3077] * vX_[592] + vX_[2622] * vX_[507] + vX_[2541] * vX_[560] + vX_[522] * vX_[511] + vX_[2717] * vX_[328] + (vX_[2470] * vX_[557] + vX_[2646] * vX_[295] + vX_[2542] * vX_[344] + vX_[2445] * vX_[319] + vX_[2789] * vX_[333] + vX_[3383] * vX_[318] + vX_[2521] * vX_[327] + vX_[2973] * vX_[315] + vX_[2567] * vX_[332] + vX_[2493] * vX_[343] + vX_[2470] * vX_[553] + vX_[2525] * vX_[502] + vX_[2542] * vX_[348] + vX_[2789] * vX_[499]) * 0.207 + vX_[1784] * x_in[23] + vX_[2791] * x_in[22] + vX_[2719] * x_in[20] + vX_[2759] * x_in[19] + (vX_[2269] * vX_[1898] + vX_[2128] * vX_[993] + vX_[2717] * vX_[316] + vX_[1784] * x_in[19]) * -0.3735 + (vX_[2269] * vX_[1899] + vX_[2230] * vX_[993] + vX_[1784] * x_in[18]) * -0.207 + (vX_[2302] * vX_[1810] + vX_[1993] * vX_[1017] + vX_[2791] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[2238] = vX_[2559] - vX_[2477];
+ vX_[2445] = vX_[2474] + vX_[2554];
+ vX_[2369] = vX_[2444] + vX_[2561];
+ vX_[2717] = 0 - vX_[2369];
+ vX_[2646] = vX_[2238] * vX_[235];
+ vX_[2617] = vX_[2238] * vX_[316];
+ vX_[2640] = vX_[2418] + vX_[2557];
+ vX_[3077] = vX_[2584] + vX_[2590];
+ vX_[2649] = vX_[2434] + vX_[2555];
+ vX_[2565] = vX_[2381] + vX_[2387];
+ vX_[2611] = vX_[2565] * vX_[316] + vX_[2649] * vX_[235];
+ vX_[2645] = vX_[2565] * vX_[329] + vX_[2649] * vX_[316];
+ vX_[2718] = vX_[2574] + vX_[2589];
+ vX_[2541] = 0 - (vX_[2349] + vX_[2509]) + vX_[2718];
+ vX_[2532] = vX_[2582] - vX_[2469];
+ vX_[2622] = vX_[2427] + vX_[2553];
+ vX_[2708] = vX_[2595] + vX_[2592];
+ vX_[522] = 0 - vX_[2708];
+ vX_[3413] = vX_[2532] * vX_[235];
+ vX_[3453] = vX_[2532] * vX_[316];
+ vX_[3231] = vX_[2417] + vX_[2237] * 0.207;
+ vX_[3159] = vX_[2393] * vX_[956] + vX_[2429] * vX_[316] + vX_[2237] * vX_[954] + vX_[2354] * vX_[955] + vX_[2382] * vX_[236];
+ vX_[3200] = vX_[2237] * vX_[316] + vX_[2354] * vX_[235];
+ vX_[2991] = vX_[3231] * vX_[967] + vX_[3159] * vX_[237] + vX_[3200] * vX_[968];
+ vX_[3091] = vX_[3231] * vX_[953] + vX_[3159] * vX_[265] + vX_[3200] * vX_[283];
+ vX_[3082] = vX_[2991] * 1 / vX_[262];
+ vX_[3009] = vX_[3091] * 1 / vX_[262];
+ vX_[3059] = vX_[3200] * 1 / vX_[262];
+ vX_[393] = vX_[3231] * 1 / vX_[313];
+ vX_[3019] = vX_[2393] * vX_[316] + vX_[2429] * vX_[235] + vX_[2237] * vX_[330] + vX_[2354] * vX_[328] + vX_[2382] * vX_[935];
+ vX_[2903] = vX_[3019] * 1 / vX_[313];
+ vX_[2943] = vX_[3159] * 1 / vX_[313];
+ vX_[2281] = vX_[2382] * 1 / vX_[313];
+ vX_[2298] = vX_[3200] * 1 / vX_[313];
+ vX_[2302] = vX_[2237] * vX_[329] + vX_[2354] * vX_[316];
+ vX_[2269] = vX_[2302] * 1 / vX_[313];
+ vX_[2415] = vX_[2382] - (vX_[2406] + vX_[393] * vX_[325] + vX_[2903] * vX_[287] + vX_[2943] * vX_[278] + vX_[2281] * vX_[313] + vX_[2298] * vX_[338] + vX_[2269] * vX_[347]);
+ vX_[2531] = vX_[2415] * vX_[266] + vX_[2302] * vX_[238];
+ vX_[2795] = vX_[2531] * 1 / vX_[262];
+ vX_[399] = vX_[2415] * vX_[238] + vX_[2302] * vX_[265];
+ vX_[2739] = vX_[399] * 1 / vX_[262];
+ vX_[2596] = vX_[3200] - (vX_[2490] + vX_[3082] * vX_[273] + vX_[3009] * vX_[260] + vX_[3059] * vX_[262] + vX_[2795] * vX_[269] + vX_[2739] * vX_[250]);
+ vX_[2753] = vX_[2991] * vX_[241] + vX_[3091] * vX_[239] + vX_[2596] * vX_[244];
+ vX_[2787] = vX_[2991] * vX_[239] + vX_[3091] * vX_[977] + vX_[2596] * vX_[978];
+ vX_[2654] = vX_[2596] - (38.1956380581338 + vX_[2787] * 38.1956380581338 * 0.1104774 + vX_[2753] * 38.1956380581338 * -0.0004405 + vX_[2596] * 38.1956380581338 * 0.026181);
+ vX_[2707] = vX_[2531] * vX_[239] + vX_[399] * vX_[242];
+ vX_[3096] = vX_[2753] * 0.881 + (0 - vX_[2654]) * 0.0004405 + vX_[2707] * -8.81e-05;
+ vX_[3133] = vX_[2787] * -0.881;
+ vX_[440] = vX_[2654] * 0.1104774;
+ vX_[2939] = vX_[2531] * vX_[241] + vX_[399] * vX_[239];
+ vX_[2817] = vX_[2939] * -8.81e-05;
+ vX_[454] = vX_[3133] - vX_[440] + vX_[2817];
+ vX_[3124] = vX_[3096] * vX_[975] + vX_[454] * vX_[972];
+ vX_[2868] = vX_[3091] * 3.146 + (0 - vX_[2596]) * -0.0825825;
+ vX_[2867] = vX_[2991] * -3.146;
+ vX_[2799] = vX_[2596] * 0.47422804;
+ vX_[3151] = vX_[2867] - vX_[2799];
+ vX_[3224] = vX_[3124] + vX_[2868] * vX_[963] + vX_[3151] * vX_[960];
+ vX_[2676] = vX_[3159] * 3.44 + vX_[3200] * -0.5824264;
+ vX_[2908] = 0 - vX_[2676];
+ vX_[2810] = vX_[3231] * 3.44 + (0 - vX_[3200]) * 0.1466472;
+ vX_[457] = vX_[2453] + vX_[3231] * vX_[332] + vX_[3019] * vX_[315] + vX_[3159] * vX_[324] + vX_[3200] * vX_[503] + vX_[2302] * vX_[556];
+ vX_[3233] = vX_[3224] + vX_[2908] * vX_[840] + vX_[2810] * vX_[950] + vX_[457] * x_in[27];
+ vX_[2499] = 0 - vX_[3096];
+ vX_[2817] = 0 - vX_[3133] + vX_[440] - vX_[2817];
+ vX_[440] = vX_[3019] + vX_[2415] * 0.08;
+ vX_[3133] = vX_[440] + vX_[2531] * -0.35;
+ vX_[2465] = vX_[3133] * 0.0004405 + vX_[2787] * -8.81e-05 + vX_[2939] * -0.000227999999999999;
+ vX_[2435] = vX_[3133] * 0.1104774 + vX_[2753] * -8.81e-05 + (0 - vX_[2707]) * 0.025713;
+ vX_[2425] = (0 - vX_[2787]) * 0.0004405;
+ vX_[2494] = (0 - vX_[2753]) * 0.1104774;
+ vX_[2414] = vX_[2425] + vX_[2494];
+ vX_[2414] = vX_[2499] * vX_[979] + vX_[2817] * vX_[970] + vX_[2465] * vX_[975] + vX_[2435] * vX_[972] + vX_[2414] * vX_[966] + vX_[2414] * vX_[966];
+ vX_[2366] = vX_[3133] * 0.881 + (0 - vX_[2707]) * 0.1104774 + vX_[2939] * 0.0004405;
+ vX_[2373] = 0.0168251785646079 + vX_[2787] * 0.00185880198235362 + vX_[2753] * 0.880992588508842 + vX_[2707] * -8.81e-05;
+ vX_[2499] = vX_[2499] * vX_[966] + vX_[2366] * vX_[972] + vX_[2373] * x_in[29];
+ vX_[2350] = 0 - vX_[2366];
+ vX_[2227] = -4.21975478400367 + vX_[2787] * 0.414812462825713 + vX_[2753] * 0.00185880198235362 + vX_[2939] * 8.81e-05;
+ vX_[2817] = vX_[2817] * vX_[966] + vX_[2350] * vX_[975] - vX_[2227] * x_in[29];
+ vX_[2239] = 0 - vX_[2868];
+ vX_[2799] = 0 - vX_[2867] + vX_[2799];
+ vX_[2867] = vX_[440] * -0.0825825 + (0 - vX_[2596]) * 0.000102 + vX_[2531] * 0.007418 + vX_[399] * 0.002735;
+ vX_[2495] = vX_[440] * 0.47422804 + vX_[2596] * 2.1e-05 + (0 - vX_[2531]) * 0.084376 + (0 - vX_[399]) * 0.007418;
+ vX_[2423] = (0 - vX_[2991]) * -0.0825825;
+ vX_[2464] = (0 - vX_[3091]) * 0.47422804;
+ vX_[2424] = vX_[2531] * 0.000102;
+ vX_[2441] = (0 - vX_[399]) * 2.1e-05;
+ vX_[2236] = vX_[2423] + vX_[2464] + vX_[2424] + vX_[2441];
+ vX_[2236] = vX_[2414] + vX_[2499] * vX_[978] + vX_[2817] * vX_[244] + vX_[2239] * vX_[969] + vX_[2799] * vX_[958] + vX_[2867] * vX_[963] + vX_[2495] * vX_[960] + vX_[2236] * vX_[952] + vX_[2236] * vX_[952];
+ vX_[2094] = vX_[440] * 3.146 + (0 - vX_[2531]) * 0.47422804 + vX_[399] * -0.0825825;
+ vX_[2293] = vX_[2455] + vX_[2991] * vX_[292] + vX_[3091] * vX_[291] + vX_[2531] * vX_[270] + vX_[399] * vX_[264];
+ vX_[2239] = vX_[2499] * vX_[239] + vX_[2817] * vX_[241] + vX_[2239] * vX_[952] + vX_[2094] * vX_[960] + vX_[2293] * x_in[28];
+ vX_[2245] = 0 - vX_[2094];
+ vX_[2308] = vX_[2436] + vX_[2991] * vX_[290] + vX_[3091] * vX_[292] + vX_[2531] * vX_[276] + vX_[399] * vX_[275];
+ vX_[2799] = vX_[2499] * vX_[977] + vX_[2817] * vX_[239] + vX_[2799] * vX_[952] + vX_[2245] * vX_[963] - vX_[2308] * x_in[28];
+ vX_[2341] = 0 - vX_[2810];
+ vX_[2214] = vX_[3019] * -0.5824264 + (0 - vX_[2415]) * 0.022734 + vX_[3200] * 3.6e-05 + vX_[2302] * -0.133138;
+ vX_[2307] = vX_[3019] * 0.1466472 + vX_[2415] * 0.009466 + (0 - vX_[3200]) * -5.1e-05 + vX_[2302] * 0.022734;
+ vX_[2261] = (0 - vX_[3231]) * -0.5824264;
+ vX_[2015] = (0 - vX_[3159]) * 0.1466472;
+ vX_[2345] = (0 - vX_[2415]) * 3.6e-05;
+ vX_[2219] = (0 - vX_[2302]) * -5.1e-05;
+ vX_[2336] = vX_[2261] + vX_[2015] + vX_[2345] - vX_[2219];
+ vX_[2263] = vX_[2433] + vX_[3231] * vX_[348] + vX_[3019] * vX_[502] + vX_[3159] * vX_[556] + vX_[3200] * vX_[555] + vX_[2302] * vX_[312];
+ vX_[2336] = vX_[2236] + vX_[2239] * vX_[968] + vX_[2799] * vX_[283] + vX_[2676] * vX_[846] + vX_[2341] * vX_[957] + vX_[2214] * vX_[840] + vX_[2307] * vX_[950] + vX_[2336] * vX_[937] + vX_[2336] * vX_[937] + vX_[2263] * x_in[27];
+ vX_[2347] = vX_[2564] - vX_[2469];
+ vX_[2313] = vX_[2347] * vX_[316] + vX_[2622] * vX_[235];
+ vX_[2283] = vX_[2347] * vX_[329] + vX_[2622] * vX_[316];
+ vX_[2273] = vX_[2283] + vX_[3413];
+ vX_[2342] = vX_[2313] * vX_[329] + vX_[2273] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[2262] = 0 - vX_[2342];
+ vX_[2098] = vX_[2469] + vX_[2313] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[2212] = 0 - vX_[2098];
+ vX_[2215] = vX_[2469] + vX_[2283] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[2185] = vX_[2428] + vX_[2505] - vX_[3077];
+ vX_[2053] = vX_[2718] * vX_[316] + vX_[3077] * vX_[235];
+ vX_[2343] = 0 - (vX_[2185] * vX_[329] + vX_[2541] * vX_[316]) + vX_[2053];
+ vX_[2271] = vX_[2343] + vX_[2098] * vX_[317];
+ vX_[2312] = 0 - vX_[2271];
+ vX_[2272] = vX_[2718] * vX_[329] + vX_[3077] * vX_[316];
+ vX_[2289] = vX_[2185] * vX_[316] + vX_[2541] * vX_[235] + vX_[2272];
+ vX_[2154] = 0 - vX_[2215];
+ vX_[1769] = vX_[2289] + vX_[2342] * vX_[317] + vX_[2154] * vX_[236];
+ vX_[2155] = vX_[2483] + vX_[2556];
+ vX_[2107] = vX_[2640] * vX_[316] + vX_[2155] * vX_[329];
+ vX_[2170] = vX_[2107] * vX_[316] + vX_[2645] * vX_[235];
+ vX_[2203] = vX_[2458] + vX_[2572];
+ vX_[2708] = 0 - vX_[2708];
+ vX_[1983] = vX_[2203] * vX_[329] + vX_[2708] * vX_[316];
+ vX_[2078] = 0 - vX_[1983];
+ vX_[2123] = vX_[2170] + vX_[2078] * vX_[236] + vX_[2212] * vX_[331];
+ vX_[2037] = 0 - vX_[2123];
+ vX_[2207] = vX_[2640] * vX_[235] + vX_[2155] * vX_[316];
+ vX_[1950] = vX_[2207] * vX_[329] + vX_[2611] * vX_[316];
+ vX_[2198] = vX_[2203] * vX_[316] + vX_[522] * vX_[235];
+ vX_[2125] = 0 - vX_[2198];
+ vX_[2209] = vX_[1950] + vX_[2125] * vX_[317] + vX_[2215] * vX_[331];
+ vX_[2175] = vX_[2207] * vX_[316] + vX_[2611] * vX_[235];
+ vX_[2145] = vX_[2175] + vX_[1983] * vX_[317];
+ vX_[2135] = vX_[2107] * vX_[329] + vX_[2645] * vX_[316];
+ vX_[2204] = vX_[2135] + vX_[2198] * vX_[236] + vX_[2262] * vX_[331];
+ vX_[2124] = 0 - vX_[2145] + vX_[2204];
+ vX_[1945] = 0 - vX_[2342];
+ vX_[2083] = 0 - vX_[2098];
+ vX_[2212] = vX_[2262] * vX_[559] + vX_[2212] * vX_[505] + vX_[2215] * vX_[295] + vX_[2312] * vX_[332] + vX_[1769] * vX_[343] + vX_[2037] * vX_[324] + vX_[2209] * vX_[318] + vX_[2124] * vX_[315] + vX_[2342] * vX_[553] + vX_[1945] * vX_[556] + vX_[2083] * vX_[504] + vX_[2215] * vX_[508];
+ vX_[2262] = vX_[3019] * -3.44;
+ vX_[1946] = vX_[2415] * 0.1466472;
+ vX_[2066] = vX_[2302] * -0.5824264;
+ vX_[2039] = 0 - vX_[2262] + vX_[1946] - vX_[2066];
+ vX_[2017] = vX_[2431] + vX_[3231] * vX_[343] + vX_[3019] * vX_[318] + vX_[3159] * vX_[315] + vX_[3200] * vX_[553] + vX_[2302] * vX_[502];
+ vX_[2341] = vX_[2239] * vX_[237] + vX_[2799] * vX_[265] + vX_[2039] * vX_[840] + vX_[2341] * vX_[937] - vX_[2017] * x_in[27];
+ vX_[1998] = vX_[2564] + vX_[2582] + vX_[2469] - vX_[2098] - vX_[2215];
+ vX_[2008] = 0 - vX_[1998];
+ vX_[2053] = vX_[2053] + vX_[2008] * vX_[317];
+ vX_[2272] = vX_[2272] + vX_[1998] * vX_[236];
+ vX_[2049] = 0 - vX_[1769];
+ vX_[2079] = 0 - vX_[2209];
+ vX_[1942] = vX_[2594] + vX_[2591] + vX_[2155] + vX_[2649] - vX_[2175] - vX_[2135];
+ vX_[2204] = vX_[1942] - vX_[2204];
+ vX_[2014] = 0 - vX_[1983];
+ vX_[1968] = 0 - vX_[2342];
+ vX_[2183] = 0 - vX_[2215];
+ vX_[2169] = vX_[2552] - vX_[2477];
+ vX_[2016] = vX_[2419] + vX_[2562];
+ vX_[2166] = vX_[2169] * vX_[316] + vX_[2445] * vX_[235];
+ vX_[2206] = vX_[2169] * vX_[329] + vX_[2445] * vX_[316];
+ vX_[2654] = vX_[2787] * 0.1104774 + vX_[2753] * 0.0004405 + vX_[2654] * 0.025941;
+ vX_[2205] = (0 - vX_[3133]) * -8.81e-05;
+ vX_[2494] = vX_[2205] + vX_[2494];
+ vX_[2939] = vX_[3133] * 0.0004405 + vX_[2787] * 8.81e-05 + vX_[2939] * 0.000468;
+ vX_[2494] = vX_[3096] * vX_[973] + vX_[2350] * vX_[970] + vX_[2465] * vX_[966] + vX_[2654] * vX_[972] + vX_[2494] * vX_[975] + vX_[2494] * vX_[975] + vX_[2939] * x_in[29];
+ vX_[2205] = vX_[2205] + vX_[2425];
+ vX_[3133] = vX_[3133] * -0.1104774 + vX_[2753] * -8.81e-05 + vX_[2707] * 0.026409;
+ jac[1073] = vX_[2227] * vX_[984] + vX_[2373] * vX_[979] + vX_[3133] * vX_[992] + vX_[2939] * vX_[975] + vX_[2414];
+ vX_[3133] = vX_[454] * vX_[973] + vX_[2366] * vX_[979] + vX_[2435] * vX_[966] + vX_[2654] * vX_[975] + vX_[2205] * vX_[972] + vX_[2205] * vX_[972] - vX_[3133] * x_in[29];
+ vX_[2205] = vX_[2991] * 0.47422804 + vX_[3091] * -0.0825825 + vX_[2596] * 0.081641 + (0 - vX_[2531]) * 2.1e-05 + vX_[399] * 0.000102;
+ vX_[2654] = (0 - vX_[2596]) * 0.007418;
+ vX_[2441] = vX_[2464] + vX_[2654] - vX_[2441];
+ vX_[2464] = vX_[2446] + vX_[440] * vX_[259] + vX_[2991] * vX_[275] + vX_[3091] * vX_[264] + vX_[2531] * vX_[307] + vX_[399] * vX_[303];
+ vX_[2441] = vX_[3124] * -0.35 + vX_[2494] * vX_[239] + vX_[3133] * vX_[241] + vX_[2868] * vX_[961] + vX_[2245] * vX_[958] + vX_[2867] * vX_[952] + vX_[2205] * vX_[960] + vX_[2441] * vX_[963] + vX_[2441] * vX_[963] + vX_[2464] * x_in[28];
+ vX_[2654] = vX_[2423] - vX_[2654] - vX_[2424];
+ vX_[2424] = vX_[2487] + vX_[440] * vX_[272] + vX_[2991] * vX_[276] + vX_[3091] * vX_[270] + vX_[2531] * vX_[301] + vX_[399] * vX_[307];
+ jac[1037] = vX_[2308] * vX_[1002] + vX_[2293] * vX_[969] + vX_[2424] * vX_[999] + vX_[2464] * vX_[963] + vX_[2236];
+ vX_[2424] = vX_[2494] * vX_[242] + vX_[3133] * vX_[239] + vX_[3151] * vX_[961] + vX_[2094] * vX_[969] + vX_[2495] * vX_[952] + vX_[2205] * vX_[963] + vX_[2654] * vX_[960] + vX_[2654] * vX_[960] - vX_[2424] * x_in[28];
+ vX_[2066] = vX_[2262] - vX_[1946] + vX_[2066];
+ vX_[1946] = vX_[3231] * 0.1466472 + vX_[3159] * -0.5824264 + vX_[2415] * -5.1e-05 + (0 - vX_[3200]) * -0.123672 + (0 - vX_[2302]) * 3.6e-05;
+ vX_[2262] = vX_[3200] * 0.022734;
+ vX_[2345] = vX_[2261] - vX_[2345] - vX_[2262];
+ vX_[2261] = vX_[2491] + vX_[3231] * vX_[286] + vX_[3019] * vX_[553] + vX_[3159] * vX_[503] + vX_[3200] * vX_[501] + vX_[2302] * vX_[555];
+ vX_[2345] = vX_[2441] * vX_[238] + vX_[2424] * vX_[265] + vX_[2066] * vX_[846] + vX_[2810] * vX_[934] + vX_[1946] * vX_[840] + vX_[2307] * vX_[937] + vX_[2345] * vX_[950] + vX_[2345] * vX_[950] - vX_[2261] * x_in[27];
+ vX_[2369] = 0 - vX_[2369];
+ vX_[2307] = vX_[2206] + vX_[2646];
+ vX_[2810] = 0 - vX_[2053];
+ vX_[2654] = 0 - vX_[2272];
+ vX_[1942] = 0 - vX_[1942] + vX_[2145];
+ vX_[2145] = 0 - vX_[2198];
+ jac[353] = 0 - (vX_[2431] * vX_[1754] + vX_[2491] * vX_[1898] + vX_[2429] * vX_[993] + vX_[2354] * vX_[982] + vX_[2238] * vX_[673] + vX_[2445] * vX_[675] + vX_[2717] * vX_[332] + vX_[2646] * vX_[233] + vX_[2617] * vX_[315] + vX_[2640] * vX_[640] + vX_[3077] * vX_[340] + vX_[2649] * vX_[614] + vX_[2611] * vX_[558] + vX_[2645] * vX_[616] + vX_[2541] * vX_[349] + vX_[2532] * vX_[563] + vX_[2622] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[3233] * x_in[22] + vX_[2336] * x_in[19] + (vX_[2431] * vX_[1810] + vX_[2237] * vX_[993] + vX_[2212] * vX_[329] + vX_[3233] * x_in[20]) * 0.3735 - (vX_[2453] * vX_[1855] + vX_[2393] * vX_[1017] + vX_[2341] * x_in[23]) + (vX_[2453] * vX_[1898] + vX_[2354] * vX_[1017] + vX_[2341] * x_in[19]) * 0.3735 + (vX_[2453] * vX_[1899] + vX_[2382] * vX_[1017] + vX_[2078] * vX_[505] + vX_[2198] * vX_[559] + vX_[1998] * vX_[342] + vX_[2154] * vX_[344] + vX_[2053] * vX_[315] + vX_[2272] * vX_[324] + vX_[2049] * vX_[327] + vX_[2079] * vX_[343] + vX_[2204] * vX_[332] + vX_[2014] * vX_[503] + vX_[2198] * vX_[556] + vX_[1968] * vX_[286] + vX_[2183] * vX_[510] + vX_[2341] * x_in[18]) * 0.207 - (vX_[2433] * vX_[1810] + vX_[2237] * vX_[987] + vX_[2169] * vX_[672] + vX_[2016] * vX_[652] + vX_[2166] * vX_[315] + vX_[2206] * vX_[123] + vX_[2565] * vX_[617] + vX_[2718] * vX_[350] + vX_[2155] * vX_[639] + vX_[2207] * vX_[613] + vX_[2107] * vX_[615] + vX_[2185] * vX_[339] + vX_[2347] * vX_[562] + vX_[2203] * vX_[592] + vX_[2313] * vX_[560] + vX_[2283] * vX_[511] + vX_[2212] * vX_[330] + vX_[2345] * x_in[20])) * vX_[746] + (vX_[2431] * vX_[1855] + vX_[2453] * vX_[1754] + vX_[2491] * vX_[1810] + vX_[2433] * vX_[1898] + vX_[2393] * vX_[993] + vX_[2429] * vX_[1017] + vX_[2237] * vX_[982] + vX_[2354] * vX_[987] + vX_[2169] * vX_[675] + vX_[2238] * vX_[671] + vX_[2445] * vX_[672] + vX_[2016] * vX_[332] + vX_[2369] * vX_[652] + vX_[2166] * vX_[233] + vX_[2307] * vX_[315] + vX_[2617] * vX_[123] + vX_[2640] * vX_[639] + vX_[2565] * vX_[614] + vX_[2718] * vX_[340] + vX_[3077] * vX_[350] + vX_[2155] * vX_[640] + vX_[2649] * vX_[617] + vX_[2207] * vX_[558] + vX_[2107] * vX_[616] + vX_[2611] * vX_[613] + vX_[2645] * vX_[615] + vX_[2185] * vX_[349] + vX_[2541] * vX_[339] + vX_[2347] * vX_[565] + vX_[2532] * vX_[561] + vX_[2622] * vX_[562] + vX_[2203] * vX_[593] + vX_[2708] * vX_[592] + vX_[2313] * vX_[507] + vX_[2273] * vX_[560] + vX_[3453] * vX_[511] + vX_[2212] * vX_[328] + (vX_[1983] * vX_[557] + vX_[2125] * vX_[295] + vX_[2342] * vX_[344] + vX_[2008] * vX_[319] + vX_[2098] * vX_[333] + vX_[2810] * vX_[318] + vX_[2271] * vX_[327] + vX_[2654] * vX_[315] + vX_[2123] * vX_[332] + vX_[1942] * vX_[343] + vX_[1983] * vX_[553] + vX_[2145] * vX_[502] + vX_[2342] * vX_[348] + vX_[2098] * vX_[499]) * 0.207 + vX_[3233] * x_in[23] + vX_[2341] * x_in[22] + vX_[2336] * x_in[20] + vX_[2345] * x_in[19] + (vX_[2431] * vX_[1898] + vX_[2354] * vX_[993] + vX_[2212] * vX_[316] + vX_[3233] * x_in[19]) * -0.3735 + (vX_[2431] * vX_[1899] + vX_[2382] * vX_[993] + vX_[3233] * x_in[18]) * -0.207 + (vX_[2453] * vX_[1810] + vX_[2237] * vX_[1017] + vX_[2341] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[2169] = vX_[2701] - vX_[2501];
+ vX_[2008] = vX_[2579] + vX_[2696];
+ vX_[1998] = vX_[2569] + vX_[2703];
+ vX_[2212] = 0 - vX_[1998];
+ vX_[2125] = vX_[2169] * vX_[235];
+ vX_[2207] = vX_[2169] * vX_[316];
+ vX_[2078] = vX_[2603] + vX_[2699];
+ vX_[2708] = vX_[2726] + vX_[2732];
+ vX_[2203] = vX_[2475] + vX_[2697];
+ vX_[2107] = vX_[2586] + vX_[2533];
+ vX_[2155] = vX_[2107] * vX_[316] + vX_[2203] * vX_[235];
+ vX_[2154] = vX_[2107] * vX_[329] + vX_[2203] * vX_[316];
+ vX_[2185] = vX_[2716] + vX_[2731];
+ vX_[2273] = 0 - (vX_[2600] + vX_[2580]) + vX_[2185];
+ vX_[2283] = vX_[2724] - vX_[2658];
+ vX_[2313] = vX_[2605] + vX_[2695];
+ vX_[2347] = vX_[2737] + vX_[2734];
+ vX_[3453] = 0 - vX_[2347];
+ vX_[3413] = vX_[2283] * vX_[235];
+ vX_[522] = vX_[2283] * vX_[316];
+ vX_[2622] = vX_[2606] + vX_[2604] * 0.207;
+ vX_[2532] = vX_[2389] * vX_[956] + vX_[2506] * vX_[316] + vX_[2604] * vX_[954] + vX_[2588] * vX_[955] + vX_[2543] * vX_[236];
+ vX_[2541] = vX_[2604] * vX_[316] + vX_[2588] * vX_[235];
+ vX_[2718] = vX_[2622] * vX_[967] + vX_[2532] * vX_[237] + vX_[2541] * vX_[968];
+ vX_[2645] = vX_[2622] * vX_[953] + vX_[2532] * vX_[265] + vX_[2541] * vX_[283];
+ vX_[2611] = vX_[2718] * 1 / vX_[262];
+ vX_[2565] = vX_[2645] * 1 / vX_[262];
+ vX_[2649] = vX_[2541] * 1 / vX_[262];
+ vX_[3077] = vX_[2622] * 1 / vX_[313];
+ vX_[2640] = vX_[2389] * vX_[316] + vX_[2506] * vX_[235] + vX_[2604] * vX_[330] + vX_[2588] * vX_[328] + vX_[2543] * vX_[935];
+ vX_[2445] = vX_[2640] * 1 / vX_[313];
+ vX_[2238] = vX_[2532] * 1 / vX_[313];
+ vX_[2433] = vX_[2543] * 1 / vX_[313];
+ vX_[2491] = vX_[2541] * 1 / vX_[313];
+ vX_[2453] = vX_[2604] * vX_[329] + vX_[2588] * vX_[316];
+ vX_[2431] = vX_[2453] * 1 / vX_[313];
+ vX_[2205] = vX_[2543] - (vX_[3077] * vX_[325] + vX_[2445] * vX_[287] + vX_[2238] * vX_[278] + vX_[2433] * vX_[313] + vX_[2491] * vX_[338] + vX_[2431] * vX_[347]);
+ vX_[2094] = vX_[2205] * vX_[266] + vX_[2453] * vX_[238];
+ vX_[2495] = vX_[2094] * 1 / vX_[262];
+ vX_[3151] = vX_[2205] * vX_[238] + vX_[2453] * vX_[265];
+ vX_[2464] = vX_[3151] * 1 / vX_[262];
+ vX_[2308] = vX_[2541] - (vX_[2611] * vX_[273] + vX_[2565] * vX_[260] + vX_[2649] * vX_[262] + vX_[2495] * vX_[269] + vX_[2464] * vX_[250]);
+ vX_[2293] = vX_[2718] * vX_[241] + vX_[2645] * vX_[239] + vX_[2308] * vX_[244];
+ vX_[2236] = vX_[2718] * vX_[239] + vX_[2645] * vX_[977] + vX_[2308] * vX_[978];
+ vX_[2423] = vX_[2308] - (vX_[2236] * 38.1956380581338 * 0.1104774 + vX_[2293] * 38.1956380581338 * -0.0004405 + vX_[2308] * 38.1956380581338 * 0.026181);
+ vX_[2245] = vX_[2094] * vX_[239] + vX_[3151] * vX_[242];
+ vX_[2867] = vX_[2293] * 0.881 + (0 - vX_[2423]) * 0.0004405 + vX_[2245] * -8.81e-05;
+ vX_[2868] = vX_[2236] * -0.881;
+ vX_[3124] = vX_[2423] * 0.1104774;
+ vX_[2366] = vX_[2094] * vX_[241] + vX_[3151] * vX_[239];
+ vX_[2435] = vX_[2366] * -8.81e-05;
+ vX_[454] = vX_[2868] - vX_[3124] + vX_[2435];
+ vX_[2939] = vX_[2867] * vX_[975] + vX_[454] * vX_[972];
+ vX_[2227] = vX_[2645] * 3.146 + (0 - vX_[2308]) * -0.0825825;
+ vX_[2373] = vX_[2718] * -3.146;
+ vX_[2414] = vX_[2308] * 0.47422804;
+ vX_[2707] = vX_[2373] - vX_[2414];
+ vX_[2753] = vX_[2939] + vX_[2227] * vX_[963] + vX_[2707] * vX_[960];
+ vX_[2425] = vX_[2532] * 3.44 + vX_[2541] * -0.5824264;
+ vX_[2350] = 0 - vX_[2425];
+ vX_[2465] = vX_[2622] * 3.44 + (0 - vX_[2541]) * 0.1466472;
+ vX_[3096] = vX_[2622] * vX_[332] + vX_[2640] * vX_[315] + vX_[2532] * vX_[324] + vX_[2541] * vX_[503] + vX_[2453] * vX_[556];
+ vX_[2787] = vX_[2753] + vX_[2350] * vX_[840] + vX_[2465] * vX_[950] + vX_[3096] * x_in[27];
+ vX_[2133] = 0 - vX_[2867];
+ vX_[2435] = 0 - vX_[2868] + vX_[3124] - vX_[2435];
+ vX_[3124] = vX_[2640] + vX_[2205] * 0.08;
+ vX_[2868] = vX_[3124] + vX_[2094] * -0.35;
+ vX_[2174] = vX_[2868] * 0.0004405 + vX_[2236] * -8.81e-05 + vX_[2366] * -0.000227999999999999;
+ vX_[2134] = vX_[2868] * 0.1104774 + vX_[2293] * -8.81e-05 + (0 - vX_[2245]) * 0.025713;
+ vX_[2151] = (0 - vX_[2236]) * 0.0004405;
+ vX_[1952] = (0 - vX_[2293]) * 0.1104774;
+ vX_[1933] = vX_[2151] + vX_[1952];
+ vX_[1933] = vX_[2133] * vX_[979] + vX_[2435] * vX_[970] + vX_[2174] * vX_[975] + vX_[2134] * vX_[972] + vX_[1933] * vX_[966] + vX_[1933] * vX_[966];
+ vX_[2007] = vX_[2868] * 0.881 + (0 - vX_[2245]) * 0.1104774 + vX_[2366] * 0.0004405;
+ vX_[1959] = vX_[2236] * 0.00185880198235362 + vX_[2293] * 0.880992588508842 + vX_[2245] * -8.81e-05;
+ vX_[2133] = vX_[2133] * vX_[966] + vX_[2007] * vX_[972] + vX_[1959] * x_in[29];
+ vX_[2022] = 0 - vX_[2007];
+ vX_[2055] = vX_[2236] * 0.414812462825713 + vX_[2293] * 0.00185880198235362 + vX_[2366] * 8.81e-05;
+ vX_[2435] = vX_[2435] * vX_[966] + vX_[2022] * vX_[975] - vX_[2055] * x_in[29];
+ vX_[1988] = 0 - vX_[2227];
+ vX_[2414] = 0 - vX_[2373] + vX_[2414];
+ vX_[2373] = vX_[3124] * -0.0825825 + (0 - vX_[2308]) * 0.000102 + vX_[2094] * 0.007418 + vX_[3151] * 0.002735;
+ vX_[2035] = vX_[3124] * 0.47422804 + vX_[2308] * 2.1e-05 + (0 - vX_[2094]) * 0.084376 + (0 - vX_[3151]) * 0.007418;
+ vX_[1975] = (0 - vX_[2718]) * -0.0825825;
+ vX_[1887] = (0 - vX_[2645]) * 0.47422804;
+ vX_[2059] = vX_[2094] * 0.000102;
+ vX_[1798] = (0 - vX_[3151]) * 2.1e-05;
+ vX_[2050] = vX_[1975] + vX_[1887] + vX_[2059] + vX_[1798];
+ vX_[2050] = vX_[1933] + vX_[2133] * vX_[978] + vX_[2435] * vX_[244] + vX_[1988] * vX_[969] + vX_[2414] * vX_[958] + vX_[2373] * vX_[963] + vX_[2035] * vX_[960] + vX_[2050] * vX_[952] + vX_[2050] * vX_[952];
+ vX_[1977] = vX_[3124] * 3.146 + (0 - vX_[2094]) * 0.47422804 + vX_[3151] * -0.0825825;
+ vX_[2061] = vX_[2718] * vX_[292] + vX_[2645] * vX_[291] + vX_[2094] * vX_[270] + vX_[3151] * vX_[264];
+ vX_[1988] = vX_[2133] * vX_[239] + vX_[2435] * vX_[241] + vX_[1988] * vX_[952] + vX_[1977] * vX_[960] + vX_[2061] * x_in[28];
+ vX_[2027] = 0 - vX_[1977];
+ vX_[1997] = vX_[2718] * vX_[290] + vX_[2645] * vX_[292] + vX_[2094] * vX_[276] + vX_[3151] * vX_[275];
+ vX_[2414] = vX_[2133] * vX_[977] + vX_[2435] * vX_[239] + vX_[2414] * vX_[952] + vX_[2027] * vX_[963] - vX_[1997] * x_in[28];
+ vX_[1987] = 0 - vX_[2465];
+ vX_[2056] = vX_[2640] * -0.5824264 + (0 - vX_[2205]) * 0.022734 + vX_[2541] * 3.6e-05 + vX_[2453] * -0.133138;
+ vX_[1976] = vX_[2640] * 0.1466472 + vX_[2205] * 0.009466 + (0 - vX_[2541]) * -5.1e-05 + vX_[2453] * 0.022734;
+ vX_[1793] = (0 - vX_[2622]) * -0.5824264;
+ vX_[1935] = (0 - vX_[2532]) * 0.1466472;
+ vX_[1794] = (0 - vX_[2205]) * 3.6e-05;
+ vX_[1918] = (0 - vX_[2453]) * -5.1e-05;
+ vX_[1889] = vX_[1793] + vX_[1935] + vX_[1794] - vX_[1918];
+ vX_[1681] = vX_[2622] * vX_[348] + vX_[2640] * vX_[502] + vX_[2532] * vX_[556] + vX_[2541] * vX_[555] + vX_[2453] * vX_[312];
+ vX_[1889] = vX_[2050] + vX_[1988] * vX_[968] + vX_[2414] * vX_[283] + vX_[2425] * vX_[846] + vX_[1987] * vX_[957] + vX_[2056] * vX_[840] + vX_[1976] * vX_[950] + vX_[1889] * vX_[937] + vX_[1889] * vX_[937] + vX_[1681] * x_in[27];
+ vX_[1827] = vX_[2706] - vX_[2658];
+ vX_[1900] = vX_[1827] * vX_[316] + vX_[2313] * vX_[235];
+ vX_[1772] = vX_[1827] * vX_[329] + vX_[2313] * vX_[316];
+ vX_[1790] = vX_[1772] + vX_[3413];
+ vX_[1864] = vX_[1900] * vX_[329] + vX_[1790] * vX_[316] + vX_[522] * vX_[235];
+ vX_[1869] = 0 - vX_[1864];
+ vX_[2021] = vX_[2658] + vX_[1900] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1866] = 0 - vX_[2021];
+ vX_[2018] = vX_[2658] + vX_[1772] * vX_[329] + vX_[522] * vX_[316];
+ vX_[2058] = vX_[2602] + vX_[2581] - vX_[2708];
+ vX_[2057] = vX_[2185] * vX_[316] + vX_[2708] * vX_[235];
+ vX_[1985] = 0 - (vX_[2058] * vX_[329] + vX_[2273] * vX_[316]) + vX_[2057];
+ vX_[2026] = vX_[1985] + vX_[2021] * vX_[317];
+ vX_[1986] = 0 - vX_[2026];
+ vX_[2003] = vX_[2185] * vX_[329] + vX_[2708] * vX_[316];
+ vX_[1800] = vX_[2058] * vX_[316] + vX_[2273] * vX_[235] + vX_[2003];
+ vX_[1856] = 0 - vX_[2018];
+ vX_[1807] = vX_[1800] + vX_[1864] * vX_[317] + vX_[1856] * vX_[236];
+ vX_[1871] = vX_[2560] + vX_[2698];
+ vX_[1885] = vX_[2078] * vX_[316] + vX_[1871] * vX_[329];
+ vX_[1909] = vX_[1885] * vX_[316] + vX_[2154] * vX_[235];
+ vX_[1875] = vX_[2610] + vX_[2714];
+ vX_[2347] = 0 - vX_[2347];
+ vX_[1835] = vX_[1875] * vX_[329] + vX_[2347] * vX_[316];
+ vX_[1741] = 0 - vX_[1835];
+ vX_[1911] = vX_[1909] + vX_[1741] * vX_[236] + vX_[1866] * vX_[331];
+ vX_[1638] = 0 - vX_[1911];
+ vX_[1902] = vX_[2078] * vX_[235] + vX_[1871] * vX_[316];
+ vX_[1826] = vX_[1902] * vX_[329] + vX_[2155] * vX_[316];
+ vX_[1913] = vX_[1875] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1876] = 0 - vX_[1913];
+ vX_[1846] = vX_[1826] + vX_[1876] * vX_[317] + vX_[2018] * vX_[331];
+ vX_[1836] = vX_[1902] * vX_[316] + vX_[2155] * vX_[235];
+ vX_[1908] = vX_[1836] + vX_[1835] * vX_[317];
+ vX_[1825] = vX_[1885] * vX_[329] + vX_[2154] * vX_[316];
+ vX_[1637] = vX_[1825] + vX_[1913] * vX_[236] + vX_[1869] * vX_[331];
+ vX_[1783] = 0 - vX_[1908] + vX_[1637];
+ vX_[1768] = 0 - vX_[1864];
+ vX_[1506] = 0 - vX_[2021];
+ vX_[1866] = vX_[1869] * vX_[559] + vX_[1866] * vX_[505] + vX_[2018] * vX_[295] + vX_[1986] * vX_[332] + vX_[1807] * vX_[343] + vX_[1638] * vX_[324] + vX_[1846] * vX_[318] + vX_[1783] * vX_[315] + vX_[1864] * vX_[553] + vX_[1768] * vX_[556] + vX_[1506] * vX_[504] + vX_[2018] * vX_[508];
+ vX_[1869] = vX_[2640] * -3.44;
+ vX_[1711] = vX_[2205] * 0.1466472;
+ vX_[1507] = vX_[2453] * -0.5824264;
+ vX_[1725] = 0 - vX_[1869] + vX_[1711] - vX_[1507];
+ vX_[1758] = vX_[2622] * vX_[343] + vX_[2640] * vX_[318] + vX_[2532] * vX_[315] + vX_[2541] * vX_[553] + vX_[2453] * vX_[502];
+ vX_[1987] = vX_[1988] * vX_[237] + vX_[2414] * vX_[265] + vX_[1725] * vX_[840] + vX_[1987] * vX_[937] - vX_[1758] * x_in[27];
+ vX_[1852] = vX_[2706] + vX_[2724] + vX_[2658] - vX_[2021] - vX_[2018];
+ vX_[1744] = 0 - vX_[1852];
+ vX_[2057] = vX_[2057] + vX_[1744] * vX_[317];
+ vX_[2003] = vX_[2003] + vX_[1852] * vX_[236];
+ vX_[1619] = 0 - vX_[1807];
+ vX_[1712] = 0 - vX_[1846];
+ vX_[1653] = vX_[2736] + vX_[2733] + vX_[1871] + vX_[2203] - vX_[1836] - vX_[1825];
+ vX_[1637] = vX_[1653] - vX_[1637];
+ vX_[1727] = 0 - vX_[1835];
+ vX_[1760] = 0 - vX_[1864];
+ vX_[1244] = 0 - vX_[2018];
+ vX_[1726] = vX_[2694] - vX_[2501];
+ vX_[1675] = vX_[2585] + vX_[2704];
+ vX_[1710] = vX_[1726] * vX_[316] + vX_[2008] * vX_[235];
+ vX_[1764] = vX_[1726] * vX_[329] + vX_[2008] * vX_[316];
+ vX_[2423] = vX_[2236] * 0.1104774 + vX_[2293] * 0.0004405 + vX_[2423] * 0.025941;
+ vX_[1566] = (0 - vX_[2868]) * -8.81e-05;
+ vX_[1952] = vX_[1566] + vX_[1952];
+ vX_[2366] = vX_[2868] * 0.0004405 + vX_[2236] * 8.81e-05 + vX_[2366] * 0.000468;
+ vX_[1952] = vX_[2867] * vX_[973] + vX_[2022] * vX_[970] + vX_[2174] * vX_[966] + vX_[2423] * vX_[972] + vX_[1952] * vX_[975] + vX_[1952] * vX_[975] + vX_[2366] * x_in[29];
+ vX_[1566] = vX_[1566] + vX_[2151];
+ vX_[2868] = vX_[2868] * -0.1104774 + vX_[2293] * -8.81e-05 + vX_[2245] * 0.026409;
+ jac[1074] = vX_[2055] * vX_[984] + vX_[1959] * vX_[979] + vX_[2868] * vX_[992] + vX_[2366] * vX_[975] + vX_[1933];
+ vX_[2868] = vX_[454] * vX_[973] + vX_[2007] * vX_[979] + vX_[2134] * vX_[966] + vX_[2423] * vX_[975] + vX_[1566] * vX_[972] + vX_[1566] * vX_[972] - vX_[2868] * x_in[29];
+ vX_[1566] = vX_[2718] * 0.47422804 + vX_[2645] * -0.0825825 + vX_[2308] * 0.081641 + (0 - vX_[2094]) * 2.1e-05 + vX_[3151] * 0.000102;
+ vX_[2423] = (0 - vX_[2308]) * 0.007418;
+ vX_[1798] = vX_[1887] + vX_[2423] - vX_[1798];
+ vX_[1887] = vX_[3124] * vX_[259] + vX_[2718] * vX_[275] + vX_[2645] * vX_[264] + vX_[2094] * vX_[307] + vX_[3151] * vX_[303];
+ vX_[1798] = vX_[2939] * -0.35 + vX_[1952] * vX_[239] + vX_[2868] * vX_[241] + vX_[2227] * vX_[961] + vX_[2027] * vX_[958] + vX_[2373] * vX_[952] + vX_[1566] * vX_[960] + vX_[1798] * vX_[963] + vX_[1798] * vX_[963] + vX_[1887] * x_in[28];
+ vX_[2423] = vX_[1975] - vX_[2423] - vX_[2059];
+ vX_[2059] = vX_[3124] * vX_[272] + vX_[2718] * vX_[276] + vX_[2645] * vX_[270] + vX_[2094] * vX_[301] + vX_[3151] * vX_[307];
+ jac[1038] = vX_[1997] * vX_[1002] + vX_[2061] * vX_[969] + vX_[2059] * vX_[999] + vX_[1887] * vX_[963] + vX_[2050];
+ vX_[2059] = vX_[1952] * vX_[242] + vX_[2868] * vX_[239] + vX_[2707] * vX_[961] + vX_[1977] * vX_[969] + vX_[2035] * vX_[952] + vX_[1566] * vX_[963] + vX_[2423] * vX_[960] + vX_[2423] * vX_[960] - vX_[2059] * x_in[28];
+ vX_[1507] = vX_[1869] - vX_[1711] + vX_[1507];
+ vX_[1711] = vX_[2622] * 0.1466472 + vX_[2532] * -0.5824264 + vX_[2205] * -5.1e-05 + (0 - vX_[2541]) * -0.123672 + (0 - vX_[2453]) * 3.6e-05;
+ vX_[1869] = vX_[2541] * 0.022734;
+ vX_[1794] = vX_[1793] - vX_[1794] - vX_[1869];
+ vX_[1793] = vX_[2622] * vX_[286] + vX_[2640] * vX_[553] + vX_[2532] * vX_[503] + vX_[2541] * vX_[501] + vX_[2453] * vX_[555];
+ vX_[1794] = vX_[1798] * vX_[238] + vX_[2059] * vX_[265] + vX_[1507] * vX_[846] + vX_[2465] * vX_[934] + vX_[1711] * vX_[840] + vX_[1976] * vX_[937] + vX_[1794] * vX_[950] + vX_[1794] * vX_[950] - vX_[1793] * x_in[27];
+ vX_[1998] = 0 - vX_[1998];
+ vX_[1976] = vX_[1764] + vX_[2125];
+ vX_[2465] = 0 - vX_[2057];
+ vX_[2423] = 0 - vX_[2003];
+ vX_[1653] = 0 - vX_[1653] + vX_[1908];
+ vX_[1908] = 0 - vX_[1913];
+ jac[354] = 0 - (vX_[2506] * vX_[993] + vX_[2588] * vX_[982] + vX_[2169] * vX_[673] + vX_[2008] * vX_[675] + vX_[2212] * vX_[332] + vX_[2125] * vX_[233] + vX_[2207] * vX_[315] + vX_[2078] * vX_[640] + vX_[2708] * vX_[340] + vX_[2203] * vX_[614] + vX_[2155] * vX_[558] + vX_[2154] * vX_[616] + vX_[2273] * vX_[349] + vX_[2283] * vX_[563] + vX_[2313] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[2787] * x_in[22] + vX_[1889] * x_in[19] + (vX_[2604] * vX_[993] + vX_[1866] * vX_[329] + vX_[2787] * x_in[20]) * 0.3735 - (vX_[2389] * vX_[1017] + vX_[1987] * x_in[23]) + (vX_[2588] * vX_[1017] + vX_[1987] * x_in[19]) * 0.3735 + (vX_[2543] * vX_[1017] + vX_[1741] * vX_[505] + vX_[1913] * vX_[559] + vX_[1852] * vX_[342] + vX_[1856] * vX_[344] + vX_[2057] * vX_[315] + vX_[2003] * vX_[324] + vX_[1619] * vX_[327] + vX_[1712] * vX_[343] + vX_[1637] * vX_[332] + vX_[1727] * vX_[503] + vX_[1913] * vX_[556] + vX_[1760] * vX_[286] + vX_[1244] * vX_[510] + vX_[1987] * x_in[18]) * 0.207 - (vX_[2604] * vX_[987] + vX_[1726] * vX_[672] + vX_[1675] * vX_[652] + vX_[1710] * vX_[315] + vX_[1764] * vX_[123] + vX_[2107] * vX_[617] + vX_[2185] * vX_[350] + vX_[1871] * vX_[639] + vX_[1902] * vX_[613] + vX_[1885] * vX_[615] + vX_[2058] * vX_[339] + vX_[1827] * vX_[562] + vX_[1875] * vX_[592] + vX_[1900] * vX_[560] + vX_[1772] * vX_[511] + vX_[1866] * vX_[330] + vX_[1794] * x_in[20])) * vX_[746] + (vX_[2389] * vX_[993] + vX_[2506] * vX_[1017] + vX_[2604] * vX_[982] + vX_[2588] * vX_[987] + vX_[1726] * vX_[675] + vX_[2169] * vX_[671] + vX_[2008] * vX_[672] + vX_[1675] * vX_[332] + vX_[1998] * vX_[652] + vX_[1710] * vX_[233] + vX_[1976] * vX_[315] + vX_[2207] * vX_[123] + vX_[2078] * vX_[639] + vX_[2107] * vX_[614] + vX_[2185] * vX_[340] + vX_[2708] * vX_[350] + vX_[1871] * vX_[640] + vX_[2203] * vX_[617] + vX_[1902] * vX_[558] + vX_[1885] * vX_[616] + vX_[2155] * vX_[613] + vX_[2154] * vX_[615] + vX_[2058] * vX_[349] + vX_[2273] * vX_[339] + vX_[1827] * vX_[565] + vX_[2283] * vX_[561] + vX_[2313] * vX_[562] + vX_[1875] * vX_[593] + vX_[2347] * vX_[592] + vX_[1900] * vX_[507] + vX_[1790] * vX_[560] + vX_[522] * vX_[511] + vX_[1866] * vX_[328] + (vX_[1835] * vX_[557] + vX_[1876] * vX_[295] + vX_[1864] * vX_[344] + vX_[1744] * vX_[319] + vX_[2021] * vX_[333] + vX_[2465] * vX_[318] + vX_[2026] * vX_[327] + vX_[2423] * vX_[315] + vX_[1911] * vX_[332] + vX_[1653] * vX_[343] + vX_[1835] * vX_[553] + vX_[1908] * vX_[502] + vX_[1864] * vX_[348] + vX_[2021] * vX_[499]) * 0.207 + vX_[2787] * x_in[23] + vX_[1987] * x_in[22] + vX_[1889] * x_in[20] + vX_[1794] * x_in[19] + (vX_[2588] * vX_[993] + vX_[1866] * vX_[316] + vX_[2787] * x_in[19]) * -0.3735 + (vX_[2543] * vX_[993] + vX_[2787] * x_in[18]) * -0.207 + (vX_[2604] * vX_[1017] + vX_[1987] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[1726] = vX_[2851] - vX_[2800];
+ vX_[1744] = vX_[2777] + vX_[2846];
+ vX_[1852] = vX_[2675] + vX_[2853];
+ vX_[1866] = 0 - vX_[1852];
+ vX_[1876] = vX_[1726] * vX_[235];
+ vX_[1902] = vX_[1726] * vX_[316];
+ vX_[1741] = vX_[2721] + vX_[2849];
+ vX_[2347] = vX_[2876] + vX_[2882];
+ vX_[1875] = vX_[2727] + vX_[2847];
+ vX_[1885] = vX_[2713] + vX_[2769];
+ vX_[1871] = vX_[1885] * vX_[316] + vX_[1875] * vX_[235];
+ vX_[1856] = vX_[1885] * vX_[329] + vX_[1875] * vX_[316];
+ vX_[2058] = vX_[2866] + vX_[2881];
+ vX_[1790] = 0 - (vX_[2712] + vX_[2687]) + vX_[2058];
+ vX_[1772] = vX_[2874] - vX_[2683];
+ vX_[1900] = vX_[2702] + vX_[2845];
+ vX_[1827] = vX_[2887] + vX_[2884];
+ vX_[522] = 0 - vX_[1827];
+ vX_[3413] = vX_[1772] * vX_[235];
+ vX_[3453] = vX_[1772] * vX_[316];
+ vX_[2313] = vX_[2728] + vX_[2711] * 0.207;
+ vX_[2283] = vX_[2738] * vX_[956] + vX_[2545] * vX_[316] + vX_[2711] * vX_[954] + vX_[2742] * vX_[955] + vX_[2678] * vX_[236];
+ vX_[2273] = vX_[2711] * vX_[316] + vX_[2742] * vX_[235];
+ vX_[2185] = vX_[2313] * vX_[967] + vX_[2283] * vX_[237] + vX_[2273] * vX_[968];
+ vX_[2154] = vX_[2313] * vX_[953] + vX_[2283] * vX_[265] + vX_[2273] * vX_[283];
+ vX_[2155] = vX_[2185] * 1 / vX_[262];
+ vX_[2107] = vX_[2154] * 1 / vX_[262];
+ vX_[2203] = vX_[2273] * 1 / vX_[262];
+ vX_[2708] = vX_[2313] * 1 / vX_[313];
+ vX_[2078] = vX_[2738] * vX_[316] + vX_[2545] * vX_[235] + vX_[2711] * vX_[330] + vX_[2742] * vX_[328] + vX_[2678] * vX_[935];
+ vX_[2008] = vX_[2078] * 1 / vX_[313];
+ vX_[2169] = vX_[2283] * 1 / vX_[313];
+ vX_[1566] = vX_[2678] * 1 / vX_[313];
+ vX_[1977] = vX_[2273] * 1 / vX_[313];
+ vX_[2035] = vX_[2711] * vX_[329] + vX_[2742] * vX_[316];
+ vX_[2707] = vX_[2035] * 1 / vX_[313];
+ vX_[1887] = vX_[2678] - (vX_[2708] * vX_[325] + vX_[2008] * vX_[287] + vX_[2169] * vX_[278] + vX_[1566] * vX_[313] + vX_[1977] * vX_[338] + vX_[2707] * vX_[347]);
+ vX_[1997] = vX_[1887] * vX_[266] + vX_[2035] * vX_[238];
+ vX_[2061] = vX_[1997] * 1 / vX_[262];
+ vX_[2050] = vX_[1887] * vX_[238] + vX_[2035] * vX_[265];
+ vX_[1975] = vX_[2050] * 1 / vX_[262];
+ vX_[2027] = vX_[2273] - (vX_[2155] * vX_[273] + vX_[2107] * vX_[260] + vX_[2203] * vX_[262] + vX_[2061] * vX_[269] + vX_[1975] * vX_[250]);
+ vX_[2373] = vX_[2185] * vX_[241] + vX_[2154] * vX_[239] + vX_[2027] * vX_[244];
+ vX_[2227] = vX_[2185] * vX_[239] + vX_[2154] * vX_[977] + vX_[2027] * vX_[978];
+ vX_[2939] = vX_[2027] - (vX_[2227] * 38.1956380581338 * 0.1104774 + vX_[2373] * 38.1956380581338 * -0.0004405 + vX_[2027] * 38.1956380581338 * 0.026181);
+ vX_[2007] = vX_[1997] * vX_[239] + vX_[2050] * vX_[242];
+ vX_[2134] = vX_[2373] * 0.881 + (0 - vX_[2939]) * 0.0004405 + vX_[2007] * -8.81e-05;
+ vX_[454] = vX_[2227] * -0.881;
+ vX_[2366] = vX_[2939] * 0.1104774;
+ vX_[2055] = vX_[1997] * vX_[241] + vX_[2050] * vX_[239];
+ vX_[1959] = vX_[2055] * -8.81e-05;
+ vX_[1933] = vX_[454] - vX_[2366] + vX_[1959];
+ vX_[2245] = vX_[2134] * vX_[975] + vX_[1933] * vX_[972];
+ vX_[2293] = vX_[2154] * 3.146 + (0 - vX_[2027]) * -0.0825825;
+ vX_[2151] = vX_[2185] * -3.146;
+ vX_[2022] = vX_[2027] * 0.47422804;
+ vX_[2174] = vX_[2151] - vX_[2022];
+ vX_[2867] = vX_[2245] + vX_[2293] * vX_[963] + vX_[2174] * vX_[960];
+ vX_[2236] = vX_[2283] * 3.44 + vX_[2273] * -0.5824264;
+ vX_[1755] = 0 - vX_[2236];
+ vX_[1677] = vX_[2313] * 3.44 + (0 - vX_[2273]) * 0.1466472;
+ vX_[1766] = vX_[2313] * vX_[332] + vX_[2078] * vX_[315] + vX_[2283] * vX_[324] + vX_[2273] * vX_[503] + vX_[2035] * vX_[556];
+ vX_[1732] = vX_[2867] + vX_[1755] * vX_[840] + vX_[1677] * vX_[950] + vX_[1766] * x_in[27];
+ vX_[1699] = 0 - vX_[2134];
+ vX_[1959] = 0 - vX_[454] + vX_[2366] - vX_[1959];
+ vX_[2366] = vX_[2078] + vX_[1887] * 0.08;
+ vX_[454] = vX_[2366] + vX_[1997] * -0.35;
+ vX_[1688] = vX_[454] * 0.0004405 + vX_[2227] * -8.81e-05 + vX_[2055] * -0.000227999999999999;
+ vX_[1761] = vX_[454] * 0.1104774 + vX_[2373] * -8.81e-05 + (0 - vX_[2007]) * 0.025713;
+ vX_[1676] = (0 - vX_[2227]) * 0.0004405;
+ vX_[1460] = (0 - vX_[2373]) * 0.1104774;
+ vX_[1642] = vX_[1676] + vX_[1460];
+ vX_[1642] = vX_[1699] * vX_[979] + vX_[1959] * vX_[970] + vX_[1688] * vX_[975] + vX_[1761] * vX_[972] + vX_[1642] * vX_[966] + vX_[1642] * vX_[966];
+ vX_[1536] = vX_[454] * 0.881 + (0 - vX_[2007]) * 0.1104774 + vX_[2055] * 0.0004405;
+ vX_[1567] = vX_[2227] * 0.00185880198235362 + vX_[2373] * 0.880992588508842 + vX_[2007] * -8.81e-05;
+ vX_[1699] = vX_[1699] * vX_[966] + vX_[1536] * vX_[972] + vX_[1567] * x_in[29];
+ vX_[1547] = 0 - vX_[1536];
+ vX_[1762] = vX_[2227] * 0.414812462825713 + vX_[2373] * 0.00185880198235362 + vX_[2055] * 8.81e-05;
+ vX_[1959] = vX_[1959] * vX_[966] + vX_[1547] * vX_[975] - vX_[1762] * x_in[29];
+ vX_[1686] = 0 - vX_[2293];
+ vX_[2022] = 0 - vX_[2151] + vX_[2022];
+ vX_[2151] = vX_[2366] * -0.0825825 + (0 - vX_[2027]) * 0.000102 + vX_[1997] * 0.007418 + vX_[2050] * 0.002735;
+ vX_[1731] = vX_[2366] * 0.47422804 + vX_[2027] * 2.1e-05 + (0 - vX_[1997]) * 0.084376 + (0 - vX_[2050]) * 0.007418;
+ vX_[1687] = (0 - vX_[2185]) * -0.0825825;
+ vX_[1706] = (0 - vX_[2154]) * 0.47422804;
+ vX_[1588] = vX_[1997] * 0.000102;
+ vX_[1488] = (0 - vX_[2050]) * 2.1e-05;
+ vX_[1581] = vX_[1687] + vX_[1706] + vX_[1588] + vX_[1488];
+ vX_[1581] = vX_[1642] + vX_[1699] * vX_[978] + vX_[1959] * vX_[244] + vX_[1686] * vX_[969] + vX_[2022] * vX_[958] + vX_[2151] * vX_[963] + vX_[1731] * vX_[960] + vX_[1581] * vX_[952] + vX_[1581] * vX_[952];
+ vX_[1522] = vX_[2366] * 3.146 + (0 - vX_[1997]) * 0.47422804 + vX_[2050] * -0.0825825;
+ vX_[1596] = vX_[2185] * vX_[292] + vX_[2154] * vX_[291] + vX_[1997] * vX_[270] + vX_[2050] * vX_[264];
+ vX_[1686] = vX_[1699] * vX_[239] + vX_[1959] * vX_[241] + vX_[1686] * vX_[952] + vX_[1522] * vX_[960] + vX_[1596] * x_in[28];
+ vX_[1629] = 0 - vX_[1522];
+ vX_[1375] = vX_[2185] * vX_[290] + vX_[2154] * vX_[292] + vX_[1997] * vX_[276] + vX_[2050] * vX_[275];
+ vX_[2022] = vX_[1699] * vX_[977] + vX_[1959] * vX_[239] + vX_[2022] * vX_[952] + vX_[1629] * vX_[963] - vX_[1375] * x_in[28];
+ vX_[1595] = 0 - vX_[1677];
+ vX_[1544] = vX_[2078] * -0.5824264 + (0 - vX_[1887]) * 0.022734 + vX_[2273] * 3.6e-05 + vX_[2035] * -0.133138;
+ vX_[1579] = vX_[2078] * 0.1466472 + vX_[1887] * 0.009466 + (0 - vX_[2273]) * -5.1e-05 + vX_[2035] * 0.022734;
+ vX_[1633] = (0 - vX_[2313]) * -0.5824264;
+ vX_[1435] = (0 - vX_[2283]) * 0.1466472;
+ vX_[1624] = (0 - vX_[1887]) * 3.6e-05;
+ vX_[1546] = (0 - vX_[2035]) * -5.1e-05;
+ vX_[1635] = vX_[1633] + vX_[1435] + vX_[1624] - vX_[1546];
+ vX_[1601] = vX_[2313] * vX_[348] + vX_[2078] * vX_[502] + vX_[2283] * vX_[556] + vX_[2273] * vX_[555] + vX_[2035] * vX_[312];
+ vX_[1635] = vX_[1581] + vX_[1686] * vX_[968] + vX_[2022] * vX_[283] + vX_[2236] * vX_[846] + vX_[1595] * vX_[957] + vX_[1544] * vX_[840] + vX_[1579] * vX_[950] + vX_[1635] * vX_[937] + vX_[1635] * vX_[937] + vX_[1601] * x_in[27];
+ vX_[1568] = vX_[2856] - vX_[2683];
+ vX_[1557] = vX_[1568] * vX_[316] + vX_[1900] * vX_[235];
+ vX_[1630] = vX_[1568] * vX_[329] + vX_[1900] * vX_[316];
+ vX_[1545] = vX_[1630] + vX_[3413];
+ vX_[1328] = vX_[1557] * vX_[329] + vX_[1545] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1511] = 0 - vX_[1328];
+ vX_[1405] = vX_[2683] + vX_[1557] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1436] = 0 - vX_[1405];
+ vX_[1416] = vX_[2683] + vX_[1630] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[1631] = vX_[2626] + vX_[2771] - vX_[2347];
+ vX_[1555] = vX_[2058] * vX_[316] + vX_[2347] * vX_[235];
+ vX_[1600] = 0 - (vX_[1631] * vX_[329] + vX_[1790] * vX_[316]) + vX_[1555];
+ vX_[1556] = vX_[1600] + vX_[1405] * vX_[317];
+ vX_[1575] = 0 - vX_[1556];
+ vX_[1457] = vX_[2058] * vX_[329] + vX_[2347] * vX_[316];
+ vX_[1318] = vX_[1631] * vX_[316] + vX_[1790] * vX_[235] + vX_[1457];
+ vX_[1450] = 0 - vX_[1416];
+ vX_[1392] = vX_[1318] + vX_[1328] * vX_[317] + vX_[1450] * vX_[236];
+ vX_[1465] = vX_[2723] + vX_[2848];
+ vX_[1498] = vX_[1741] * vX_[316] + vX_[1465] * vX_[329];
+ vX_[1357] = vX_[1498] * vX_[316] + vX_[1856] * vX_[235];
+ vX_[1464] = vX_[2781] + vX_[2864];
+ vX_[1827] = 0 - vX_[1827];
+ vX_[1413] = vX_[1464] * vX_[329] + vX_[1827] * vX_[316];
+ vX_[1448] = 0 - vX_[1413];
+ vX_[1502] = vX_[1357] + vX_[1448] * vX_[236] + vX_[1436] * vX_[331];
+ vX_[1189] = 0 - vX_[1502];
+ vX_[1493] = vX_[1741] * vX_[235] + vX_[1465] * vX_[316];
+ vX_[1415] = vX_[1493] * vX_[329] + vX_[1871] * vX_[316];
+ vX_[1504] = vX_[1464] * vX_[316] + vX_[522] * vX_[235];
+ vX_[1470] = 0 - vX_[1504];
+ vX_[1437] = vX_[1415] + vX_[1470] * vX_[317] + vX_[1416] * vX_[331];
+ vX_[1426] = vX_[1493] * vX_[316] + vX_[1871] * vX_[235];
+ vX_[1499] = vX_[1426] + vX_[1413] * vX_[317];
+ vX_[1414] = vX_[1498] * vX_[329] + vX_[1856] * vX_[316];
+ vX_[1288] = vX_[1414] + vX_[1504] * vX_[236] + vX_[1511] * vX_[331];
+ vX_[1383] = 0 - vX_[1499] + vX_[1288];
+ vX_[1197] = 0 - vX_[1328];
+ vX_[1275] = 0 - vX_[1405];
+ vX_[1436] = vX_[1511] * vX_[559] + vX_[1436] * vX_[505] + vX_[1416] * vX_[295] + vX_[1575] * vX_[332] + vX_[1392] * vX_[343] + vX_[1189] * vX_[324] + vX_[1437] * vX_[318] + vX_[1383] * vX_[315] + vX_[1328] * vX_[553] + vX_[1197] * vX_[556] + vX_[1275] * vX_[504] + vX_[1416] * vX_[508];
+ vX_[1511] = vX_[2078] * -3.44;
+ vX_[1307] = vX_[1887] * 0.1466472;
+ vX_[1500] = vX_[2035] * -0.5824264;
+ vX_[1424] = 0 - vX_[1511] + vX_[1307] - vX_[1500];
+ vX_[1469] = vX_[2313] * vX_[343] + vX_[2078] * vX_[318] + vX_[2283] * vX_[315] + vX_[2273] * vX_[553] + vX_[2035] * vX_[502];
+ vX_[1595] = vX_[1686] * vX_[237] + vX_[2022] * vX_[265] + vX_[1424] * vX_[840] + vX_[1595] * vX_[937] - vX_[1469] * x_in[27];
+ vX_[1425] = vX_[2856] + vX_[2874] + vX_[2683] - vX_[1405] - vX_[1416];
+ vX_[1444] = 0 - vX_[1425];
+ vX_[1555] = vX_[1555] + vX_[1444] * vX_[317];
+ vX_[1457] = vX_[1457] + vX_[1425] * vX_[236];
+ vX_[1325] = 0 - vX_[1392];
+ vX_[1131] = 0 - vX_[1437];
+ vX_[1319] = vX_[2886] + vX_[2883] + vX_[1465] + vX_[1875] - vX_[1426] - vX_[1414];
+ vX_[1288] = vX_[1319] - vX_[1288];
+ vX_[1263] = 0 - vX_[1413];
+ vX_[1334] = 0 - vX_[1328];
+ vX_[1367] = 0 - vX_[1416];
+ vX_[1217] = vX_[2844] - vX_[2800];
+ vX_[1333] = vX_[2722] + vX_[2854];
+ vX_[1282] = vX_[1217] * vX_[316] + vX_[1744] * vX_[235];
+ vX_[1317] = vX_[1217] * vX_[329] + vX_[1744] * vX_[316];
+ vX_[2939] = vX_[2227] * 0.1104774 + vX_[2373] * 0.0004405 + vX_[2939] * 0.025941;
+ vX_[1371] = (0 - vX_[454]) * -8.81e-05;
+ vX_[1460] = vX_[1371] + vX_[1460];
+ vX_[2055] = vX_[454] * 0.0004405 + vX_[2227] * 8.81e-05 + vX_[2055] * 0.000468;
+ vX_[1460] = vX_[2134] * vX_[973] + vX_[1547] * vX_[970] + vX_[1688] * vX_[966] + vX_[2939] * vX_[972] + vX_[1460] * vX_[975] + vX_[1460] * vX_[975] + vX_[2055] * x_in[29];
+ vX_[1371] = vX_[1371] + vX_[1676];
+ vX_[454] = vX_[454] * -0.1104774 + vX_[2373] * -8.81e-05 + vX_[2007] * 0.026409;
+ jac[1075] = vX_[1762] * vX_[984] + vX_[1567] * vX_[979] + vX_[454] * vX_[992] + vX_[2055] * vX_[975] + vX_[1642];
+ vX_[454] = vX_[1933] * vX_[973] + vX_[1536] * vX_[979] + vX_[1761] * vX_[966] + vX_[2939] * vX_[975] + vX_[1371] * vX_[972] + vX_[1371] * vX_[972] - vX_[454] * x_in[29];
+ vX_[1371] = vX_[2185] * 0.47422804 + vX_[2154] * -0.0825825 + vX_[2027] * 0.081641 + (0 - vX_[1997]) * 2.1e-05 + vX_[2050] * 0.000102;
+ vX_[2939] = (0 - vX_[2027]) * 0.007418;
+ vX_[1488] = vX_[1706] + vX_[2939] - vX_[1488];
+ vX_[1706] = vX_[2366] * vX_[259] + vX_[2185] * vX_[275] + vX_[2154] * vX_[264] + vX_[1997] * vX_[307] + vX_[2050] * vX_[303];
+ vX_[1488] = vX_[2245] * -0.35 + vX_[1460] * vX_[239] + vX_[454] * vX_[241] + vX_[2293] * vX_[961] + vX_[1629] * vX_[958] + vX_[2151] * vX_[952] + vX_[1371] * vX_[960] + vX_[1488] * vX_[963] + vX_[1488] * vX_[963] + vX_[1706] * x_in[28];
+ vX_[2939] = vX_[1687] - vX_[2939] - vX_[1588];
+ vX_[1588] = vX_[2366] * vX_[272] + vX_[2185] * vX_[276] + vX_[2154] * vX_[270] + vX_[1997] * vX_[301] + vX_[2050] * vX_[307];
+ jac[1039] = vX_[1375] * vX_[1002] + vX_[1596] * vX_[969] + vX_[1588] * vX_[999] + vX_[1706] * vX_[963] + vX_[1581];
+ vX_[1588] = vX_[1460] * vX_[242] + vX_[454] * vX_[239] + vX_[2174] * vX_[961] + vX_[1522] * vX_[969] + vX_[1731] * vX_[952] + vX_[1371] * vX_[963] + vX_[2939] * vX_[960] + vX_[2939] * vX_[960] - vX_[1588] * x_in[28];
+ vX_[1500] = vX_[1511] - vX_[1307] + vX_[1500];
+ vX_[1307] = vX_[2313] * 0.1466472 + vX_[2283] * -0.5824264 + vX_[1887] * -5.1e-05 + (0 - vX_[2273]) * -0.123672 + (0 - vX_[2035]) * 3.6e-05;
+ vX_[1511] = vX_[2273] * 0.022734;
+ vX_[1624] = vX_[1633] - vX_[1624] - vX_[1511];
+ vX_[1633] = vX_[2313] * vX_[286] + vX_[2078] * vX_[553] + vX_[2283] * vX_[503] + vX_[2273] * vX_[501] + vX_[2035] * vX_[555];
+ vX_[1624] = vX_[1488] * vX_[238] + vX_[1588] * vX_[265] + vX_[1500] * vX_[846] + vX_[1677] * vX_[934] + vX_[1307] * vX_[840] + vX_[1579] * vX_[937] + vX_[1624] * vX_[950] + vX_[1624] * vX_[950] - vX_[1633] * x_in[27];
+ vX_[1852] = 0 - vX_[1852];
+ vX_[1579] = vX_[1317] + vX_[1876];
+ vX_[1677] = 0 - vX_[1555];
+ vX_[2939] = 0 - vX_[1457];
+ vX_[1319] = 0 - vX_[1319] + vX_[1499];
+ vX_[1499] = 0 - vX_[1504];
+ jac[355] = 0 - (vX_[2545] * vX_[993] + vX_[2742] * vX_[982] + vX_[1726] * vX_[673] + vX_[1744] * vX_[675] + vX_[1866] * vX_[332] + vX_[1876] * vX_[233] + vX_[1902] * vX_[315] + vX_[1741] * vX_[640] + vX_[2347] * vX_[340] + vX_[1875] * vX_[614] + vX_[1871] * vX_[558] + vX_[1856] * vX_[616] + vX_[1790] * vX_[349] + vX_[1772] * vX_[563] + vX_[1900] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[1732] * x_in[22] + vX_[1635] * x_in[19] + (vX_[2711] * vX_[993] + vX_[1436] * vX_[329] + vX_[1732] * x_in[20]) * 0.3735 - (vX_[2738] * vX_[1017] + vX_[1595] * x_in[23]) + (vX_[2742] * vX_[1017] + vX_[1595] * x_in[19]) * 0.3735 + (vX_[2678] * vX_[1017] + vX_[1448] * vX_[505] + vX_[1504] * vX_[559] + vX_[1425] * vX_[342] + vX_[1450] * vX_[344] + vX_[1555] * vX_[315] + vX_[1457] * vX_[324] + vX_[1325] * vX_[327] + vX_[1131] * vX_[343] + vX_[1288] * vX_[332] + vX_[1263] * vX_[503] + vX_[1504] * vX_[556] + vX_[1334] * vX_[286] + vX_[1367] * vX_[510] + vX_[1595] * x_in[18]) * 0.207 - (vX_[2711] * vX_[987] + vX_[1217] * vX_[672] + vX_[1333] * vX_[652] + vX_[1282] * vX_[315] + vX_[1317] * vX_[123] + vX_[1885] * vX_[617] + vX_[2058] * vX_[350] + vX_[1465] * vX_[639] + vX_[1493] * vX_[613] + vX_[1498] * vX_[615] + vX_[1631] * vX_[339] + vX_[1568] * vX_[562] + vX_[1464] * vX_[592] + vX_[1557] * vX_[560] + vX_[1630] * vX_[511] + vX_[1436] * vX_[330] + vX_[1624] * x_in[20])) * vX_[746] + (vX_[2738] * vX_[993] + vX_[2545] * vX_[1017] + vX_[2711] * vX_[982] + vX_[2742] * vX_[987] + vX_[1217] * vX_[675] + vX_[1726] * vX_[671] + vX_[1744] * vX_[672] + vX_[1333] * vX_[332] + vX_[1852] * vX_[652] + vX_[1282] * vX_[233] + vX_[1579] * vX_[315] + vX_[1902] * vX_[123] + vX_[1741] * vX_[639] + vX_[1885] * vX_[614] + vX_[2058] * vX_[340] + vX_[2347] * vX_[350] + vX_[1465] * vX_[640] + vX_[1875] * vX_[617] + vX_[1493] * vX_[558] + vX_[1498] * vX_[616] + vX_[1871] * vX_[613] + vX_[1856] * vX_[615] + vX_[1631] * vX_[349] + vX_[1790] * vX_[339] + vX_[1568] * vX_[565] + vX_[1772] * vX_[561] + vX_[1900] * vX_[562] + vX_[1464] * vX_[593] + vX_[1827] * vX_[592] + vX_[1557] * vX_[507] + vX_[1545] * vX_[560] + vX_[3453] * vX_[511] + vX_[1436] * vX_[328] + (vX_[1413] * vX_[557] + vX_[1470] * vX_[295] + vX_[1328] * vX_[344] + vX_[1444] * vX_[319] + vX_[1405] * vX_[333] + vX_[1677] * vX_[318] + vX_[1556] * vX_[327] + vX_[2939] * vX_[315] + vX_[1502] * vX_[332] + vX_[1319] * vX_[343] + vX_[1413] * vX_[553] + vX_[1499] * vX_[502] + vX_[1328] * vX_[348] + vX_[1405] * vX_[499]) * 0.207 + vX_[1732] * x_in[23] + vX_[1595] * x_in[22] + vX_[1635] * x_in[20] + vX_[1624] * x_in[19] + (vX_[2742] * vX_[993] + vX_[1436] * vX_[316] + vX_[1732] * x_in[19]) * -0.3735 + (vX_[2678] * vX_[993] + vX_[1732] * x_in[18]) * -0.207 + (vX_[2711] * vX_[1017] + vX_[1595] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[1217] = vX_[3001] - vX_[2950];
+ vX_[1444] = vX_[2927] + vX_[2996];
+ vX_[1425] = vX_[2825] + vX_[3003];
+ vX_[1436] = 0 - vX_[1425];
+ vX_[1470] = vX_[1217] * vX_[235];
+ vX_[1493] = vX_[1217] * vX_[316];
+ vX_[1448] = vX_[2871] + vX_[2999];
+ vX_[1827] = vX_[3026] + vX_[3032];
+ vX_[1464] = vX_[2877] + vX_[2997];
+ vX_[1498] = vX_[2863] + vX_[2919];
+ vX_[1465] = vX_[1498] * vX_[316] + vX_[1464] * vX_[235];
+ vX_[1450] = vX_[1498] * vX_[329] + vX_[1464] * vX_[316];
+ vX_[1631] = vX_[3016] + vX_[3031];
+ vX_[1545] = 0 - (vX_[2862] + vX_[2837]) + vX_[1631];
+ vX_[1630] = vX_[3024] - vX_[2833];
+ vX_[1557] = vX_[2852] + vX_[2995];
+ vX_[1568] = vX_[3037] + vX_[3034];
+ vX_[3453] = 0 - vX_[1568];
+ vX_[3413] = vX_[1630] * vX_[235];
+ vX_[522] = vX_[1630] * vX_[316];
+ vX_[1900] = vX_[2878] + vX_[2861] * 0.207;
+ vX_[1772] = vX_[2888] * vX_[956] + vX_[2684] * vX_[316] + vX_[2861] * vX_[954] + vX_[2892] * vX_[955] + vX_[2828] * vX_[236];
+ vX_[1790] = vX_[2861] * vX_[316] + vX_[2892] * vX_[235];
+ vX_[2058] = vX_[1900] * vX_[967] + vX_[1772] * vX_[237] + vX_[1790] * vX_[968];
+ vX_[1856] = vX_[1900] * vX_[953] + vX_[1772] * vX_[265] + vX_[1790] * vX_[283];
+ vX_[1871] = vX_[2058] * 1 / vX_[262];
+ vX_[1885] = vX_[1856] * 1 / vX_[262];
+ vX_[1875] = vX_[1790] * 1 / vX_[262];
+ vX_[2347] = vX_[1900] * 1 / vX_[313];
+ vX_[1741] = vX_[2888] * vX_[316] + vX_[2684] * vX_[235] + vX_[2861] * vX_[330] + vX_[2892] * vX_[328] + vX_[2828] * vX_[935];
+ vX_[1744] = vX_[1741] * 1 / vX_[313];
+ vX_[1726] = vX_[1772] * 1 / vX_[313];
+ vX_[1371] = vX_[2828] * 1 / vX_[313];
+ vX_[1522] = vX_[1790] * 1 / vX_[313];
+ vX_[1731] = vX_[2861] * vX_[329] + vX_[2892] * vX_[316];
+ vX_[2174] = vX_[1731] * 1 / vX_[313];
+ vX_[1706] = vX_[2828] - (vX_[2347] * vX_[325] + vX_[1744] * vX_[287] + vX_[1726] * vX_[278] + vX_[1371] * vX_[313] + vX_[1522] * vX_[338] + vX_[2174] * vX_[347]);
+ vX_[1375] = vX_[1706] * vX_[266] + vX_[1731] * vX_[238];
+ vX_[1596] = vX_[1375] * 1 / vX_[262];
+ vX_[1581] = vX_[1706] * vX_[238] + vX_[1731] * vX_[265];
+ vX_[1687] = vX_[1581] * 1 / vX_[262];
+ vX_[1629] = vX_[1790] - (vX_[1871] * vX_[273] + vX_[1885] * vX_[260] + vX_[1875] * vX_[262] + vX_[1596] * vX_[269] + vX_[1687] * vX_[250]);
+ vX_[2151] = vX_[2058] * vX_[241] + vX_[1856] * vX_[239] + vX_[1629] * vX_[244];
+ vX_[2293] = vX_[2058] * vX_[239] + vX_[1856] * vX_[977] + vX_[1629] * vX_[978];
+ vX_[2245] = vX_[1629] - (vX_[2293] * 38.1956380581338 * 0.1104774 + vX_[2151] * 38.1956380581338 * -0.0004405 + vX_[1629] * 38.1956380581338 * 0.026181);
+ vX_[1536] = vX_[1375] * vX_[239] + vX_[1581] * vX_[242];
+ vX_[1761] = vX_[2151] * 0.881 + (0 - vX_[2245]) * 0.0004405 + vX_[1536] * -8.81e-05;
+ vX_[1933] = vX_[2293] * -0.881;
+ vX_[2055] = vX_[2245] * 0.1104774;
+ vX_[1762] = vX_[1375] * vX_[241] + vX_[1581] * vX_[239];
+ vX_[1567] = vX_[1762] * -8.81e-05;
+ vX_[1642] = vX_[1933] - vX_[2055] + vX_[1567];
+ vX_[2007] = vX_[1761] * vX_[975] + vX_[1642] * vX_[972];
+ vX_[2373] = vX_[1856] * 3.146 + (0 - vX_[1629]) * -0.0825825;
+ vX_[1676] = vX_[2058] * -3.146;
+ vX_[1547] = vX_[1629] * 0.47422804;
+ vX_[1688] = vX_[1676] - vX_[1547];
+ vX_[2134] = vX_[2007] + vX_[2373] * vX_[963] + vX_[1688] * vX_[960];
+ vX_[2227] = vX_[1772] * 3.44 + vX_[1790] * -0.5824264;
+ vX_[1146] = 0 - vX_[2227];
+ vX_[1362] = vX_[1900] * 3.44 + (0 - vX_[1790]) * 0.1466472;
+ vX_[1284] = vX_[1900] * vX_[332] + vX_[1741] * vX_[315] + vX_[1772] * vX_[324] + vX_[1790] * vX_[503] + vX_[1731] * vX_[556];
+ vX_[1373] = vX_[2134] + vX_[1146] * vX_[840] + vX_[1362] * vX_[950] + vX_[1284] * x_in[27];
+ vX_[1339] = 0 - vX_[1761];
+ vX_[1567] = 0 - vX_[1933] + vX_[2055] - vX_[1567];
+ vX_[2055] = vX_[1741] + vX_[1706] * 0.08;
+ vX_[1933] = vX_[2055] + vX_[1375] * -0.35;
+ vX_[1306] = vX_[1933] * 0.0004405 + vX_[2293] * -8.81e-05 + vX_[1762] * -0.000227999999999999;
+ vX_[1295] = vX_[1933] * 0.1104774 + vX_[2151] * -8.81e-05 + (0 - vX_[1536]) * 0.025713;
+ vX_[1368] = (0 - vX_[2293]) * 0.0004405;
+ vX_[1283] = (0 - vX_[2151]) * 0.1104774;
+ vX_[1226] = vX_[1368] + vX_[1283];
+ vX_[1226] = vX_[1339] * vX_[979] + vX_[1567] * vX_[970] + vX_[1306] * vX_[975] + vX_[1295] * vX_[972] + vX_[1226] * vX_[966] + vX_[1226] * vX_[966];
+ vX_[1218] = vX_[1933] * 0.881 + (0 - vX_[1536]) * 0.1104774 + vX_[1762] * 0.0004405;
+ vX_[1166] = vX_[2293] * 0.00185880198235362 + vX_[2151] * 0.880992588508842 + vX_[1536] * -8.81e-05;
+ vX_[1339] = vX_[1339] * vX_[966] + vX_[1218] * vX_[972] + vX_[1166] * x_in[29];
+ vX_[1155] = 0 - vX_[1218];
+ vX_[1198] = vX_[2293] * 0.414812462825713 + vX_[2151] * 0.00185880198235362 + vX_[1762] * 8.81e-05;
+ vX_[1567] = vX_[1567] * vX_[966] + vX_[1155] * vX_[975] - vX_[1198] * x_in[29];
+ vX_[1369] = 0 - vX_[2373];
+ vX_[1547] = 0 - vX_[1676] + vX_[1547];
+ vX_[1676] = vX_[2055] * -0.0825825 + (0 - vX_[1629]) * 0.000102 + vX_[1375] * 0.007418 + vX_[1581] * 0.002735;
+ vX_[1293] = vX_[2055] * 0.47422804 + vX_[1629] * 2.1e-05 + (0 - vX_[1375]) * 0.084376 + (0 - vX_[1581]) * 0.007418;
+ vX_[1338] = (0 - vX_[2058]) * -0.0825825;
+ vX_[1294] = (0 - vX_[1856]) * 0.47422804;
+ vX_[1313] = vX_[1375] * 0.000102;
+ vX_[1191] = (0 - vX_[1581]) * 2.1e-05;
+ vX_[1115] = vX_[1338] + vX_[1294] + vX_[1313] + vX_[1191];
+ vX_[1115] = vX_[1226] + vX_[1339] * vX_[978] + vX_[1567] * vX_[244] + vX_[1369] * vX_[969] + vX_[1547] * vX_[958] + vX_[1676] * vX_[963] + vX_[1293] * vX_[960] + vX_[1115] * vX_[952] + vX_[1115] * vX_[952];
+ vX_[1188] = vX_[2055] * 3.146 + (0 - vX_[1375]) * 0.47422804 + vX_[1581] * -0.0825825;
+ vX_[1135] = vX_[2058] * vX_[292] + vX_[1856] * vX_[291] + vX_[1375] * vX_[270] + vX_[1581] * vX_[264];
+ vX_[1369] = vX_[1339] * vX_[239] + vX_[1567] * vX_[241] + vX_[1369] * vX_[952] + vX_[1188] * vX_[960] + vX_[1135] * x_in[28];
+ vX_[1203] = 0 - vX_[1188];
+ vX_[1236] = vX_[2058] * vX_[290] + vX_[1856] * vX_[292] + vX_[1375] * vX_[276] + vX_[1581] * vX_[275];
+ vX_[1547] = vX_[1339] * vX_[977] + vX_[1567] * vX_[239] + vX_[1547] * vX_[952] + vX_[1203] * vX_[963] - vX_[1236] * x_in[28];
+ vX_[1085] = 0 - vX_[1362];
+ vX_[1202] = vX_[1741] * -0.5824264 + (0 - vX_[1706]) * 0.022734 + vX_[1790] * 3.6e-05 + vX_[1731] * -0.133138;
+ vX_[1151] = vX_[1741] * 0.1466472 + vX_[1706] * 0.009466 + (0 - vX_[1790]) * -5.1e-05 + vX_[1731] * 0.022734;
+ vX_[1186] = (0 - vX_[1900]) * -0.5824264;
+ vX_[1240] = (0 - vX_[1772]) * 0.1466472;
+ vX_[1034] = (0 - vX_[1706]) * 3.6e-05;
+ vX_[1231] = (0 - vX_[1731]) * -5.1e-05;
+ vX_[1153] = vX_[1186] + vX_[1240] + vX_[1034] - vX_[1231];
+ vX_[1242] = vX_[1900] * vX_[348] + vX_[1741] * vX_[502] + vX_[1772] * vX_[556] + vX_[1790] * vX_[555] + vX_[1731] * vX_[312];
+ vX_[1153] = vX_[1115] + vX_[1369] * vX_[968] + vX_[1547] * vX_[283] + vX_[2227] * vX_[846] + vX_[1085] * vX_[957] + vX_[1202] * vX_[840] + vX_[1151] * vX_[950] + vX_[1153] * vX_[937] + vX_[1153] * vX_[937] + vX_[1242] * x_in[27];
+ vX_[1208] = vX_[3006] - vX_[2833];
+ vX_[1175] = vX_[1208] * vX_[316] + vX_[1557] * vX_[235];
+ vX_[1164] = vX_[1208] * vX_[329] + vX_[1557] * vX_[316];
+ vX_[1237] = vX_[1164] + vX_[3413];
+ vX_[1152] = vX_[1175] * vX_[329] + vX_[1237] * vX_[316] + vX_[522] * vX_[235];
+ vX_[1119] = 0 - vX_[1152];
+ vX_[793] = vX_[2833] + vX_[1175] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[1035] = 0 - vX_[793];
+ vX_[1025] = vX_[2833] + vX_[1164] * vX_[329] + vX_[522] * vX_[316];
+ vX_[1062] = vX_[2685] + vX_[2921] - vX_[1827];
+ vX_[1238] = vX_[1631] * vX_[316] + vX_[1827] * vX_[235];
+ vX_[1162] = 0 - (vX_[1062] * vX_[329] + vX_[1545] * vX_[316]) + vX_[1238];
+ vX_[1207] = vX_[1162] + vX_[793] * vX_[317];
+ vX_[1163] = 0 - vX_[1207];
+ vX_[1182] = vX_[1631] * vX_[329] + vX_[1827] * vX_[316];
+ vX_[1041] = vX_[1062] * vX_[316] + vX_[1545] * vX_[235] + vX_[1182];
+ vX_[771] = 0 - vX_[1025];
+ vX_[1055] = vX_[1041] + vX_[1152] * vX_[317] + vX_[771] * vX_[236];
+ vX_[785] = vX_[2873] + vX_[2998];
+ vX_[1070] = vX_[1448] * vX_[316] + vX_[785] * vX_[329];
+ vX_[1103] = vX_[1070] * vX_[316] + vX_[1450] * vX_[235];
+ vX_[772] = vX_[2930] + vX_[3014];
+ vX_[1568] = 0 - vX_[1568];
+ vX_[1069] = vX_[772] * vX_[329] + vX_[1568] * vX_[316];
+ vX_[1020] = 0 - vX_[1069];
+ vX_[1053] = vX_[1103] + vX_[1020] * vX_[236] + vX_[1035] * vX_[331];
+ vX_[1107] = 0 - vX_[1053];
+ vX_[760] = vX_[1448] * vX_[235] + vX_[785] * vX_[316];
+ vX_[1098] = vX_[760] * vX_[329] + vX_[1465] * vX_[316];
+ vX_[1022] = vX_[772] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[1109] = 0 - vX_[1022];
+ vX_[1075] = vX_[1098] + vX_[1109] * vX_[317] + vX_[1025] * vX_[331];
+ vX_[1042] = vX_[760] * vX_[316] + vX_[1465] * vX_[235];
+ vX_[1032] = vX_[1042] + vX_[1069] * vX_[317];
+ vX_[1104] = vX_[1070] * vX_[329] + vX_[1450] * vX_[316];
+ vX_[1021] = vX_[1104] + vX_[1022] * vX_[236] + vX_[1119] * vX_[331];
+ vX_[770] = 0 - vX_[1032] + vX_[1021];
+ vX_[777] = 0 - vX_[1152];
+ vX_[763] = 0 - vX_[793];
+ vX_[1035] = vX_[1119] * vX_[559] + vX_[1035] * vX_[505] + vX_[1025] * vX_[295] + vX_[1163] * vX_[332] + vX_[1055] * vX_[343] + vX_[1107] * vX_[324] + vX_[1075] * vX_[318] + vX_[770] * vX_[315] + vX_[1152] * vX_[553] + vX_[777] * vX_[556] + vX_[763] * vX_[504] + vX_[1025] * vX_[508];
+ vX_[1119] = vX_[1741] * -3.44;
+ vX_[762] = vX_[1706] * 0.1466472;
+ vX_[750] = vX_[1731] * -0.5824264;
+ vX_[1074] = 0 - vX_[1119] + vX_[762] - vX_[750];
+ vX_[1031] = vX_[1900] * vX_[343] + vX_[1741] * vX_[318] + vX_[1772] * vX_[315] + vX_[1790] * vX_[553] + vX_[1731] * vX_[502];
+ vX_[1085] = vX_[1369] * vX_[237] + vX_[1547] * vX_[265] + vX_[1074] * vX_[840] + vX_[1085] * vX_[937] - vX_[1031] * x_in[27];
+ vX_[1048] = vX_[3006] + vX_[3024] + vX_[2833] - vX_[793] - vX_[1025];
+ vX_[756] = 0 - vX_[1048];
+ vX_[1238] = vX_[1238] + vX_[756] * vX_[317];
+ vX_[1182] = vX_[1182] + vX_[1048] * vX_[236];
+ vX_[686] = 0 - vX_[1055];
+ vX_[995] = 0 - vX_[1075];
+ vX_[3274] = vX_[3036] + vX_[3033] + vX_[785] + vX_[1464] - vX_[1042] - vX_[1104];
+ vX_[1021] = vX_[3274] - vX_[1021];
+ vX_[3485] = 0 - vX_[1069];
+ vX_[3484] = 0 - vX_[1152];
+ vX_[3389] = 0 - vX_[1025];
+ vX_[629] = vX_[2994] - vX_[2950];
+ vX_[3443] = vX_[2872] + vX_[3004];
+ vX_[3446] = vX_[629] * vX_[316] + vX_[1444] * vX_[235];
+ vX_[3455] = vX_[629] * vX_[329] + vX_[1444] * vX_[316];
+ vX_[2245] = vX_[2293] * 0.1104774 + vX_[2151] * 0.0004405 + vX_[2245] * 0.025941;
+ vX_[684] = (0 - vX_[1933]) * -8.81e-05;
+ vX_[1283] = vX_[684] + vX_[1283];
+ vX_[1762] = vX_[1933] * 0.0004405 + vX_[2293] * 8.81e-05 + vX_[1762] * 0.000468;
+ vX_[1283] = vX_[1761] * vX_[973] + vX_[1155] * vX_[970] + vX_[1306] * vX_[966] + vX_[2245] * vX_[972] + vX_[1283] * vX_[975] + vX_[1283] * vX_[975] + vX_[1762] * x_in[29];
+ vX_[684] = vX_[684] + vX_[1368];
+ vX_[1933] = vX_[1933] * -0.1104774 + vX_[2151] * -8.81e-05 + vX_[1536] * 0.026409;
+ jac[1076] = vX_[1198] * vX_[984] + vX_[1166] * vX_[979] + vX_[1933] * vX_[992] + vX_[1762] * vX_[975] + vX_[1226];
+ vX_[1933] = vX_[1642] * vX_[973] + vX_[1218] * vX_[979] + vX_[1295] * vX_[966] + vX_[2245] * vX_[975] + vX_[684] * vX_[972] + vX_[684] * vX_[972] - vX_[1933] * x_in[29];
+ vX_[684] = vX_[2058] * 0.47422804 + vX_[1856] * -0.0825825 + vX_[1629] * 0.081641 + (0 - vX_[1375]) * 2.1e-05 + vX_[1581] * 0.000102;
+ vX_[2245] = (0 - vX_[1629]) * 0.007418;
+ vX_[1191] = vX_[1294] + vX_[2245] - vX_[1191];
+ vX_[1294] = vX_[2055] * vX_[259] + vX_[2058] * vX_[275] + vX_[1856] * vX_[264] + vX_[1375] * vX_[307] + vX_[1581] * vX_[303];
+ vX_[1191] = vX_[2007] * -0.35 + vX_[1283] * vX_[239] + vX_[1933] * vX_[241] + vX_[2373] * vX_[961] + vX_[1203] * vX_[958] + vX_[1676] * vX_[952] + vX_[684] * vX_[960] + vX_[1191] * vX_[963] + vX_[1191] * vX_[963] + vX_[1294] * x_in[28];
+ vX_[2245] = vX_[1338] - vX_[2245] - vX_[1313];
+ vX_[1313] = vX_[2055] * vX_[272] + vX_[2058] * vX_[276] + vX_[1856] * vX_[270] + vX_[1375] * vX_[301] + vX_[1581] * vX_[307];
+ jac[1040] = vX_[1236] * vX_[1002] + vX_[1135] * vX_[969] + vX_[1313] * vX_[999] + vX_[1294] * vX_[963] + vX_[1115];
+ vX_[1313] = vX_[1283] * vX_[242] + vX_[1933] * vX_[239] + vX_[1688] * vX_[961] + vX_[1188] * vX_[969] + vX_[1293] * vX_[952] + vX_[684] * vX_[963] + vX_[2245] * vX_[960] + vX_[2245] * vX_[960] - vX_[1313] * x_in[28];
+ vX_[750] = vX_[1119] - vX_[762] + vX_[750];
+ vX_[762] = vX_[1900] * 0.1466472 + vX_[1772] * -0.5824264 + vX_[1706] * -5.1e-05 + (0 - vX_[1790]) * -0.123672 + (0 - vX_[1731]) * 3.6e-05;
+ vX_[1119] = vX_[1790] * 0.022734;
+ vX_[1034] = vX_[1186] - vX_[1034] - vX_[1119];
+ vX_[1186] = vX_[1900] * vX_[286] + vX_[1741] * vX_[553] + vX_[1772] * vX_[503] + vX_[1790] * vX_[501] + vX_[1731] * vX_[555];
+ vX_[1034] = vX_[1191] * vX_[238] + vX_[1313] * vX_[265] + vX_[750] * vX_[846] + vX_[1362] * vX_[934] + vX_[762] * vX_[840] + vX_[1151] * vX_[937] + vX_[1034] * vX_[950] + vX_[1034] * vX_[950] - vX_[1186] * x_in[27];
+ vX_[1425] = 0 - vX_[1425];
+ vX_[1151] = vX_[3455] + vX_[1470];
+ vX_[1362] = 0 - vX_[1238];
+ vX_[2245] = 0 - vX_[1182];
+ vX_[3274] = 0 - vX_[3274] + vX_[1032];
+ vX_[1032] = 0 - vX_[1022];
+ jac[356] = 0 - (vX_[2684] * vX_[993] + vX_[2892] * vX_[982] + vX_[1217] * vX_[673] + vX_[1444] * vX_[675] + vX_[1436] * vX_[332] + vX_[1470] * vX_[233] + vX_[1493] * vX_[315] + vX_[1448] * vX_[640] + vX_[1827] * vX_[340] + vX_[1464] * vX_[614] + vX_[1465] * vX_[558] + vX_[1450] * vX_[616] + vX_[1545] * vX_[349] + vX_[1630] * vX_[563] + vX_[1557] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[1373] * x_in[22] + vX_[1153] * x_in[19] + (vX_[2861] * vX_[993] + vX_[1035] * vX_[329] + vX_[1373] * x_in[20]) * 0.3735 - (vX_[2888] * vX_[1017] + vX_[1085] * x_in[23]) + (vX_[2892] * vX_[1017] + vX_[1085] * x_in[19]) * 0.3735 + (vX_[2828] * vX_[1017] + vX_[1020] * vX_[505] + vX_[1022] * vX_[559] + vX_[1048] * vX_[342] + vX_[771] * vX_[344] + vX_[1238] * vX_[315] + vX_[1182] * vX_[324] + vX_[686] * vX_[327] + vX_[995] * vX_[343] + vX_[1021] * vX_[332] + vX_[3485] * vX_[503] + vX_[1022] * vX_[556] + vX_[3484] * vX_[286] + vX_[3389] * vX_[510] + vX_[1085] * x_in[18]) * 0.207 - (vX_[2861] * vX_[987] + vX_[629] * vX_[672] + vX_[3443] * vX_[652] + vX_[3446] * vX_[315] + vX_[3455] * vX_[123] + vX_[1498] * vX_[617] + vX_[1631] * vX_[350] + vX_[785] * vX_[639] + vX_[760] * vX_[613] + vX_[1070] * vX_[615] + vX_[1062] * vX_[339] + vX_[1208] * vX_[562] + vX_[772] * vX_[592] + vX_[1175] * vX_[560] + vX_[1164] * vX_[511] + vX_[1035] * vX_[330] + vX_[1034] * x_in[20])) * vX_[746] + (vX_[2888] * vX_[993] + vX_[2684] * vX_[1017] + vX_[2861] * vX_[982] + vX_[2892] * vX_[987] + vX_[629] * vX_[675] + vX_[1217] * vX_[671] + vX_[1444] * vX_[672] + vX_[3443] * vX_[332] + vX_[1425] * vX_[652] + vX_[3446] * vX_[233] + vX_[1151] * vX_[315] + vX_[1493] * vX_[123] + vX_[1448] * vX_[639] + vX_[1498] * vX_[614] + vX_[1631] * vX_[340] + vX_[1827] * vX_[350] + vX_[785] * vX_[640] + vX_[1464] * vX_[617] + vX_[760] * vX_[558] + vX_[1070] * vX_[616] + vX_[1465] * vX_[613] + vX_[1450] * vX_[615] + vX_[1062] * vX_[349] + vX_[1545] * vX_[339] + vX_[1208] * vX_[565] + vX_[1630] * vX_[561] + vX_[1557] * vX_[562] + vX_[772] * vX_[593] + vX_[1568] * vX_[592] + vX_[1175] * vX_[507] + vX_[1237] * vX_[560] + vX_[522] * vX_[511] + vX_[1035] * vX_[328] + (vX_[1069] * vX_[557] + vX_[1109] * vX_[295] + vX_[1152] * vX_[344] + vX_[756] * vX_[319] + vX_[793] * vX_[333] + vX_[1362] * vX_[318] + vX_[1207] * vX_[327] + vX_[2245] * vX_[315] + vX_[1053] * vX_[332] + vX_[3274] * vX_[343] + vX_[1069] * vX_[553] + vX_[1032] * vX_[502] + vX_[1152] * vX_[348] + vX_[793] * vX_[499]) * 0.207 + vX_[1373] * x_in[23] + vX_[1085] * x_in[22] + vX_[1153] * x_in[20] + vX_[1034] * x_in[19] + (vX_[2892] * vX_[993] + vX_[1035] * vX_[316] + vX_[1373] * x_in[19]) * -0.3735 + (vX_[2828] * vX_[993] + vX_[1373] * x_in[18]) * -0.207 + (vX_[2861] * vX_[1017] + vX_[1085] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[629] = vX_[3143] - vX_[2834];
+ vX_[756] = vX_[3021] + vX_[3138];
+ vX_[1048] = vX_[3011] + vX_[3145];
+ vX_[1035] = 0 - vX_[1048];
+ vX_[1109] = vX_[629] * vX_[235];
+ vX_[760] = vX_[629] * vX_[316];
+ vX_[1020] = vX_[3045] + vX_[3141];
+ vX_[1568] = vX_[3168] + vX_[3174];
+ vX_[772] = vX_[2953] + vX_[3139];
+ vX_[1070] = vX_[3028] + vX_[2975];
+ vX_[785] = vX_[1070] * vX_[316] + vX_[772] * vX_[235];
+ vX_[771] = vX_[1070] * vX_[329] + vX_[772] * vX_[316];
+ vX_[1062] = vX_[3158] + vX_[3173];
+ vX_[1237] = 0 - (vX_[3042] + vX_[3022]) + vX_[1062];
+ vX_[1164] = vX_[3166] - vX_[3100];
+ vX_[1175] = vX_[3047] + vX_[3137];
+ vX_[1208] = vX_[3179] + vX_[3176];
+ vX_[522] = 0 - vX_[1208];
+ vX_[3413] = vX_[1164] * vX_[235];
+ vX_[3453] = vX_[1164] * vX_[316];
+ vX_[1557] = vX_[3048] + vX_[3046] * 0.207;
+ vX_[1630] = vX_[2835] * vX_[956] + vX_[2918] * vX_[316] + vX_[3046] * vX_[954] + vX_[3030] * vX_[955] + vX_[2985] * vX_[236];
+ vX_[1545] = vX_[3046] * vX_[316] + vX_[3030] * vX_[235];
+ vX_[1631] = vX_[1557] * vX_[967] + vX_[1630] * vX_[237] + vX_[1545] * vX_[968];
+ vX_[1450] = vX_[1557] * vX_[953] + vX_[1630] * vX_[265] + vX_[1545] * vX_[283];
+ vX_[1465] = vX_[1631] * 1 / vX_[262];
+ vX_[1498] = vX_[1450] * 1 / vX_[262];
+ vX_[1464] = vX_[1545] * 1 / vX_[262];
+ vX_[1827] = vX_[1557] * 1 / vX_[313];
+ vX_[1448] = vX_[2835] * vX_[316] + vX_[2918] * vX_[235] + vX_[3046] * vX_[330] + vX_[3030] * vX_[328] + vX_[2985] * vX_[935];
+ vX_[1444] = vX_[1448] * 1 / vX_[313];
+ vX_[1217] = vX_[1630] * 1 / vX_[313];
+ vX_[684] = vX_[2985] * 1 / vX_[313];
+ vX_[1188] = vX_[1545] * 1 / vX_[313];
+ vX_[1293] = vX_[3046] * vX_[329] + vX_[3030] * vX_[316];
+ vX_[1688] = vX_[1293] * 1 / vX_[313];
+ vX_[1294] = vX_[2985] - (vX_[1827] * vX_[325] + vX_[1444] * vX_[287] + vX_[1217] * vX_[278] + vX_[684] * vX_[313] + vX_[1188] * vX_[338] + vX_[1688] * vX_[347]);
+ vX_[1236] = vX_[1294] * vX_[266] + vX_[1293] * vX_[238];
+ vX_[1135] = vX_[1236] * 1 / vX_[262];
+ vX_[1115] = vX_[1294] * vX_[238] + vX_[1293] * vX_[265];
+ vX_[1338] = vX_[1115] * 1 / vX_[262];
+ vX_[1203] = vX_[1545] - (vX_[1465] * vX_[273] + vX_[1498] * vX_[260] + vX_[1464] * vX_[262] + vX_[1135] * vX_[269] + vX_[1338] * vX_[250]);
+ vX_[1676] = vX_[1631] * vX_[241] + vX_[1450] * vX_[239] + vX_[1203] * vX_[244];
+ vX_[2373] = vX_[1631] * vX_[239] + vX_[1450] * vX_[977] + vX_[1203] * vX_[978];
+ vX_[2007] = vX_[1203] - (vX_[2373] * 38.1956380581338 * 0.1104774 + vX_[1676] * 38.1956380581338 * -0.0004405 + vX_[1203] * 38.1956380581338 * 0.026181);
+ vX_[1218] = vX_[1236] * vX_[239] + vX_[1115] * vX_[242];
+ vX_[1295] = vX_[1676] * 0.881 + (0 - vX_[2007]) * 0.0004405 + vX_[1218] * -8.81e-05;
+ vX_[1642] = vX_[2373] * -0.881;
+ vX_[1762] = vX_[2007] * 0.1104774;
+ vX_[1198] = vX_[1236] * vX_[241] + vX_[1115] * vX_[239];
+ vX_[1166] = vX_[1198] * -8.81e-05;
+ vX_[1226] = vX_[1642] - vX_[1762] + vX_[1166];
+ vX_[1536] = vX_[1295] * vX_[975] + vX_[1226] * vX_[972];
+ vX_[2151] = vX_[1450] * 3.146 + (0 - vX_[1203]) * -0.0825825;
+ vX_[1368] = vX_[1631] * -3.146;
+ vX_[1155] = vX_[1203] * 0.47422804;
+ vX_[1306] = vX_[1368] - vX_[1155];
+ vX_[1761] = vX_[1536] + vX_[2151] * vX_[963] + vX_[1306] * vX_[960];
+ vX_[2293] = vX_[1630] * 3.44 + vX_[1545] * -0.5824264;
+ vX_[3459] = 0 - vX_[2293];
+ vX_[691] = vX_[1557] * 3.44 + (0 - vX_[1545]) * 0.1466472;
+ vX_[3279] = vX_[1557] * vX_[332] + vX_[1448] * vX_[315] + vX_[1630] * vX_[324] + vX_[1545] * vX_[503] + vX_[1293] * vX_[556];
+ vX_[3397] = vX_[1761] + vX_[3459] * vX_[840] + vX_[691] * vX_[950] + vX_[3279] * x_in[27];
+ vX_[3451] = 0 - vX_[1295];
+ vX_[1166] = 0 - vX_[1642] + vX_[1762] - vX_[1166];
+ vX_[1762] = vX_[1448] + vX_[1294] * 0.08;
+ vX_[1642] = vX_[1762] + vX_[1236] * -0.35;
+ vX_[3278] = vX_[1642] * 0.0004405 + vX_[2373] * -8.81e-05 + vX_[1198] * -0.000227999999999999;
+ vX_[3394] = vX_[1642] * 0.1104774 + vX_[1676] * -8.81e-05 + (0 - vX_[1218]) * 0.025713;
+ vX_[3452] = (0 - vX_[2373]) * 0.0004405;
+ vX_[655] = (0 - vX_[1676]) * 0.1104774;
+ vX_[3456] = vX_[3452] + vX_[655];
+ vX_[3456] = vX_[3451] * vX_[979] + vX_[1166] * vX_[970] + vX_[3278] * vX_[975] + vX_[3394] * vX_[972] + vX_[3456] * vX_[966] + vX_[3456] * vX_[966];
+ vX_[3281] = vX_[1642] * 0.881 + (0 - vX_[1218]) * 0.1104774 + vX_[1198] * 0.0004405;
+ vX_[3457] = vX_[2373] * 0.00185880198235362 + vX_[1676] * 0.880992588508842 + vX_[1218] * -8.81e-05;
+ vX_[3451] = vX_[3451] * vX_[966] + vX_[3281] * vX_[972] + vX_[3457] * x_in[29];
+ vX_[674] = 0 - vX_[3281];
+ vX_[630] = vX_[2373] * 0.414812462825713 + vX_[1676] * 0.00185880198235362 + vX_[1198] * 8.81e-05;
+ vX_[1166] = vX_[1166] * vX_[966] + vX_[674] * vX_[975] - vX_[630] * x_in[29];
+ vX_[519] = 0 - vX_[2151];
+ vX_[1155] = 0 - vX_[1368] + vX_[1155];
+ vX_[1368] = vX_[1762] * -0.0825825 + (0 - vX_[1203]) * 0.000102 + vX_[1236] * 0.007418 + vX_[1115] * 0.002735;
+ vX_[581] = vX_[1762] * 0.47422804 + vX_[1203] * 2.1e-05 + (0 - vX_[1236]) * 0.084376 + (0 - vX_[1115]) * 0.007418;
+ vX_[598] = (0 - vX_[1631]) * -0.0825825;
+ vX_[590] = (0 - vX_[1450]) * 0.47422804;
+ vX_[656] = vX_[1236] * 0.000102;
+ vX_[472] = (0 - vX_[1115]) * 2.1e-05;
+ vX_[536] = vX_[598] + vX_[590] + vX_[656] + vX_[472];
+ vX_[536] = vX_[3456] + vX_[3451] * vX_[978] + vX_[1166] * vX_[244] + vX_[519] * vX_[969] + vX_[1155] * vX_[958] + vX_[1368] * vX_[963] + vX_[581] * vX_[960] + vX_[536] * vX_[952] + vX_[536] * vX_[952];
+ vX_[1093] = vX_[1762] * 3.146 + (0 - vX_[1236]) * 0.47422804 + vX_[1115] * -0.0825825;
+ vX_[1083] = vX_[1631] * vX_[292] + vX_[1450] * vX_[291] + vX_[1236] * vX_[270] + vX_[1115] * vX_[264];
+ vX_[519] = vX_[3451] * vX_[239] + vX_[1166] * vX_[241] + vX_[519] * vX_[952] + vX_[1093] * vX_[960] + vX_[1083] * x_in[28];
+ vX_[949] = 0 - vX_[1093];
+ vX_[688] = vX_[1631] * vX_[290] + vX_[1450] * vX_[292] + vX_[1236] * vX_[276] + vX_[1115] * vX_[275];
+ vX_[1155] = vX_[3451] * vX_[977] + vX_[1166] * vX_[239] + vX_[1155] * vX_[952] + vX_[949] * vX_[963] - vX_[688] * x_in[28];
+ vX_[747] = 0 - vX_[691];
+ vX_[718] = vX_[1448] * -0.5824264 + (0 - vX_[1294]) * 0.022734 + vX_[1545] * 3.6e-05 + vX_[1293] * -0.133138;
+ vX_[677] = vX_[1448] * 0.1466472 + vX_[1294] * 0.009466 + (0 - vX_[1545]) * -5.1e-05 + vX_[1293] * 0.022734;
+ vX_[681] = (0 - vX_[1557]) * -0.5824264;
+ vX_[679] = (0 - vX_[1630]) * 0.1466472;
+ vX_[678] = (0 - vX_[1294]) * 3.6e-05;
+ vX_[658] = (0 - vX_[1293]) * -5.1e-05;
+ vX_[657] = vX_[681] + vX_[679] + vX_[678] - vX_[658];
+ vX_[654] = vX_[1557] * vX_[348] + vX_[1448] * vX_[502] + vX_[1630] * vX_[556] + vX_[1545] * vX_[555] + vX_[1293] * vX_[312];
+ vX_[657] = vX_[536] + vX_[519] * vX_[968] + vX_[1155] * vX_[283] + vX_[2293] * vX_[846] + vX_[747] * vX_[957] + vX_[718] * vX_[840] + vX_[677] * vX_[950] + vX_[657] * vX_[937] + vX_[657] * vX_[937] + vX_[654] * x_in[27];
+ vX_[643] = vX_[3148] - vX_[3100];
+ vX_[642] = vX_[643] * vX_[316] + vX_[1175] * vX_[235];
+ vX_[623] = vX_[643] * vX_[329] + vX_[1175] * vX_[316];
+ vX_[622] = vX_[623] + vX_[3413];
+ vX_[621] = vX_[642] * vX_[329] + vX_[622] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[620] = 0 - vX_[621];
+ vX_[572] = vX_[3100] + vX_[642] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[619] = 0 - vX_[572];
+ vX_[597] = vX_[3100] + vX_[623] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[596] = vX_[3044] + vX_[3023] - vX_[1568];
+ vX_[571] = vX_[1062] * vX_[316] + vX_[1568] * vX_[235];
+ vX_[575] = 0 - (vX_[596] * vX_[329] + vX_[1237] * vX_[316]) + vX_[571];
+ vX_[579] = vX_[575] + vX_[572] * vX_[317];
+ vX_[577] = 0 - vX_[579];
+ vX_[576] = vX_[1062] * vX_[329] + vX_[1568] * vX_[316];
+ vX_[574] = vX_[596] * vX_[316] + vX_[1237] * vX_[235] + vX_[576];
+ vX_[573] = 0 - vX_[597];
+ vX_[570] = vX_[574] + vX_[621] * vX_[317] + vX_[573] * vX_[236];
+ vX_[567] = vX_[3002] + vX_[3140];
+ vX_[524] = vX_[1020] * vX_[316] + vX_[567] * vX_[329];
+ vX_[523] = vX_[524] * vX_[316] + vX_[771] * vX_[235];
+ vX_[414] = vX_[3052] + vX_[3156];
+ vX_[1208] = 0 - vX_[1208];
+ vX_[515] = vX_[414] * vX_[329] + vX_[1208] * vX_[316];
+ vX_[520] = 0 - vX_[515];
+ vX_[518] = vX_[523] + vX_[520] * vX_[236] + vX_[619] * vX_[331];
+ vX_[516] = 0 - vX_[518];
+ vX_[512] = vX_[1020] * vX_[235] + vX_[567] * vX_[316];
+ vX_[459] = vX_[512] * vX_[329] + vX_[785] * vX_[316];
+ vX_[470] = vX_[414] * vX_[316] + vX_[522] * vX_[235];
+ vX_[469] = 0 - vX_[470];
+ vX_[468] = vX_[459] + vX_[469] * vX_[317] + vX_[597] * vX_[331];
+ vX_[464] = vX_[512] * vX_[316] + vX_[785] * vX_[235];
+ vX_[463] = vX_[464] + vX_[515] * vX_[317];
+ vX_[462] = vX_[524] * vX_[329] + vX_[771] * vX_[316];
+ vX_[443] = vX_[462] + vX_[470] * vX_[236] + vX_[620] * vX_[331];
+ vX_[460] = 0 - vX_[463] + vX_[443];
+ vX_[405] = 0 - vX_[621];
+ vX_[453] = 0 - vX_[572];
+ vX_[619] = vX_[620] * vX_[559] + vX_[619] * vX_[505] + vX_[597] * vX_[295] + vX_[577] * vX_[332] + vX_[570] * vX_[343] + vX_[516] * vX_[324] + vX_[468] * vX_[318] + vX_[460] * vX_[315] + vX_[621] * vX_[553] + vX_[405] * vX_[556] + vX_[453] * vX_[504] + vX_[597] * vX_[508];
+ vX_[620] = vX_[1448] * -3.44;
+ vX_[452] = vX_[1294] * 0.1466472;
+ vX_[446] = vX_[1293] * -0.5824264;
+ vX_[438] = 0 - vX_[620] + vX_[452] - vX_[446];
+ vX_[437] = vX_[1557] * vX_[343] + vX_[1448] * vX_[318] + vX_[1630] * vX_[315] + vX_[1545] * vX_[553] + vX_[1293] * vX_[502];
+ vX_[747] = vX_[519] * vX_[237] + vX_[1155] * vX_[265] + vX_[438] * vX_[840] + vX_[747] * vX_[937] - vX_[437] * x_in[27];
+ vX_[434] = vX_[3148] + vX_[3166] + vX_[3100] - vX_[572] - vX_[597];
+ vX_[514] = 0 - vX_[434];
+ vX_[571] = vX_[571] + vX_[514] * vX_[317];
+ vX_[576] = vX_[576] + vX_[434] * vX_[236];
+ vX_[612] = 0 - vX_[570];
+ vX_[3420] = 0 - vX_[468];
+ vX_[3481] = vX_[3178] + vX_[3175] + vX_[567] + vX_[772] - vX_[464] - vX_[462];
+ vX_[443] = vX_[3481] - vX_[443];
+ vX_[3454] = 0 - vX_[515];
+ vX_[3473] = 0 - vX_[621];
+ vX_[3432] = 0 - vX_[597];
+ vX_[730] = vX_[3136] - vX_[2834];
+ vX_[422] = vX_[3027] + vX_[3146];
+ vX_[3501] = vX_[730] * vX_[316] + vX_[756] * vX_[235];
+ vX_[3476] = vX_[730] * vX_[329] + vX_[756] * vX_[316];
+ vX_[2007] = vX_[2373] * 0.1104774 + vX_[1676] * 0.0004405 + vX_[2007] * 0.025941;
+ vX_[3474] = (0 - vX_[1642]) * -8.81e-05;
+ vX_[655] = vX_[3474] + vX_[655];
+ vX_[1198] = vX_[1642] * 0.0004405 + vX_[2373] * 8.81e-05 + vX_[1198] * 0.000468;
+ vX_[655] = vX_[1295] * vX_[973] + vX_[674] * vX_[970] + vX_[3278] * vX_[966] + vX_[2007] * vX_[972] + vX_[655] * vX_[975] + vX_[655] * vX_[975] + vX_[1198] * x_in[29];
+ vX_[3474] = vX_[3474] + vX_[3452];
+ vX_[1642] = vX_[1642] * -0.1104774 + vX_[1676] * -8.81e-05 + vX_[1218] * 0.026409;
+ jac[1077] = vX_[630] * vX_[984] + vX_[3457] * vX_[979] + vX_[1642] * vX_[992] + vX_[1198] * vX_[975] + vX_[3456];
+ vX_[1642] = vX_[1226] * vX_[973] + vX_[3281] * vX_[979] + vX_[3394] * vX_[966] + vX_[2007] * vX_[975] + vX_[3474] * vX_[972] + vX_[3474] * vX_[972] - vX_[1642] * x_in[29];
+ vX_[3474] = vX_[1631] * 0.47422804 + vX_[1450] * -0.0825825 + vX_[1203] * 0.081641 + (0 - vX_[1236]) * 2.1e-05 + vX_[1115] * 0.000102;
+ vX_[2007] = (0 - vX_[1203]) * 0.007418;
+ vX_[472] = vX_[590] + vX_[2007] - vX_[472];
+ vX_[590] = vX_[1762] * vX_[259] + vX_[1631] * vX_[275] + vX_[1450] * vX_[264] + vX_[1236] * vX_[307] + vX_[1115] * vX_[303];
+ vX_[472] = vX_[1536] * -0.35 + vX_[655] * vX_[239] + vX_[1642] * vX_[241] + vX_[2151] * vX_[961] + vX_[949] * vX_[958] + vX_[1368] * vX_[952] + vX_[3474] * vX_[960] + vX_[472] * vX_[963] + vX_[472] * vX_[963] + vX_[590] * x_in[28];
+ vX_[2007] = vX_[598] - vX_[2007] - vX_[656];
+ vX_[656] = vX_[1762] * vX_[272] + vX_[1631] * vX_[276] + vX_[1450] * vX_[270] + vX_[1236] * vX_[301] + vX_[1115] * vX_[307];
+ jac[1041] = vX_[688] * vX_[1002] + vX_[1083] * vX_[969] + vX_[656] * vX_[999] + vX_[590] * vX_[963] + vX_[536];
+ vX_[656] = vX_[655] * vX_[242] + vX_[1642] * vX_[239] + vX_[1306] * vX_[961] + vX_[1093] * vX_[969] + vX_[581] * vX_[952] + vX_[3474] * vX_[963] + vX_[2007] * vX_[960] + vX_[2007] * vX_[960] - vX_[656] * x_in[28];
+ vX_[446] = vX_[620] - vX_[452] + vX_[446];
+ vX_[452] = vX_[1557] * 0.1466472 + vX_[1630] * -0.5824264 + vX_[1294] * -5.1e-05 + (0 - vX_[1545]) * -0.123672 + (0 - vX_[1293]) * 3.6e-05;
+ vX_[620] = vX_[1545] * 0.022734;
+ vX_[678] = vX_[681] - vX_[678] - vX_[620];
+ vX_[681] = vX_[1557] * vX_[286] + vX_[1448] * vX_[553] + vX_[1630] * vX_[503] + vX_[1545] * vX_[501] + vX_[1293] * vX_[555];
+ vX_[678] = vX_[472] * vX_[238] + vX_[656] * vX_[265] + vX_[446] * vX_[846] + vX_[691] * vX_[934] + vX_[452] * vX_[840] + vX_[677] * vX_[937] + vX_[678] * vX_[950] + vX_[678] * vX_[950] - vX_[681] * x_in[27];
+ vX_[1048] = 0 - vX_[1048];
+ vX_[677] = vX_[3476] + vX_[1109];
+ vX_[691] = 0 - vX_[571];
+ vX_[2007] = 0 - vX_[576];
+ vX_[3481] = 0 - vX_[3481] + vX_[463];
+ vX_[463] = 0 - vX_[470];
+ jac[357] = 0 - (vX_[2918] * vX_[993] + vX_[3030] * vX_[982] + vX_[629] * vX_[673] + vX_[756] * vX_[675] + vX_[1035] * vX_[332] + vX_[1109] * vX_[233] + vX_[760] * vX_[315] + vX_[1020] * vX_[640] + vX_[1568] * vX_[340] + vX_[772] * vX_[614] + vX_[785] * vX_[558] + vX_[771] * vX_[616] + vX_[1237] * vX_[349] + vX_[1164] * vX_[563] + vX_[1175] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[3397] * x_in[22] + vX_[657] * x_in[19] + (vX_[3046] * vX_[993] + vX_[619] * vX_[329] + vX_[3397] * x_in[20]) * 0.3735 - (vX_[2835] * vX_[1017] + vX_[747] * x_in[23]) + (vX_[3030] * vX_[1017] + vX_[747] * x_in[19]) * 0.3735 + (vX_[2985] * vX_[1017] + vX_[520] * vX_[505] + vX_[470] * vX_[559] + vX_[434] * vX_[342] + vX_[573] * vX_[344] + vX_[571] * vX_[315] + vX_[576] * vX_[324] + vX_[612] * vX_[327] + vX_[3420] * vX_[343] + vX_[443] * vX_[332] + vX_[3454] * vX_[503] + vX_[470] * vX_[556] + vX_[3473] * vX_[286] + vX_[3432] * vX_[510] + vX_[747] * x_in[18]) * 0.207 - (vX_[3046] * vX_[987] + vX_[730] * vX_[672] + vX_[422] * vX_[652] + vX_[3501] * vX_[315] + vX_[3476] * vX_[123] + vX_[1070] * vX_[617] + vX_[1062] * vX_[350] + vX_[567] * vX_[639] + vX_[512] * vX_[613] + vX_[524] * vX_[615] + vX_[596] * vX_[339] + vX_[643] * vX_[562] + vX_[414] * vX_[592] + vX_[642] * vX_[560] + vX_[623] * vX_[511] + vX_[619] * vX_[330] + vX_[678] * x_in[20])) * vX_[746] + (vX_[2835] * vX_[993] + vX_[2918] * vX_[1017] + vX_[3046] * vX_[982] + vX_[3030] * vX_[987] + vX_[730] * vX_[675] + vX_[629] * vX_[671] + vX_[756] * vX_[672] + vX_[422] * vX_[332] + vX_[1048] * vX_[652] + vX_[3501] * vX_[233] + vX_[677] * vX_[315] + vX_[760] * vX_[123] + vX_[1020] * vX_[639] + vX_[1070] * vX_[614] + vX_[1062] * vX_[340] + vX_[1568] * vX_[350] + vX_[567] * vX_[640] + vX_[772] * vX_[617] + vX_[512] * vX_[558] + vX_[524] * vX_[616] + vX_[785] * vX_[613] + vX_[771] * vX_[615] + vX_[596] * vX_[349] + vX_[1237] * vX_[339] + vX_[643] * vX_[565] + vX_[1164] * vX_[561] + vX_[1175] * vX_[562] + vX_[414] * vX_[593] + vX_[1208] * vX_[592] + vX_[642] * vX_[507] + vX_[622] * vX_[560] + vX_[3453] * vX_[511] + vX_[619] * vX_[328] + (vX_[515] * vX_[557] + vX_[469] * vX_[295] + vX_[621] * vX_[344] + vX_[514] * vX_[319] + vX_[572] * vX_[333] + vX_[691] * vX_[318] + vX_[579] * vX_[327] + vX_[2007] * vX_[315] + vX_[518] * vX_[332] + vX_[3481] * vX_[343] + vX_[515] * vX_[553] + vX_[463] * vX_[502] + vX_[621] * vX_[348] + vX_[572] * vX_[499]) * 0.207 + vX_[3397] * x_in[23] + vX_[747] * x_in[22] + vX_[657] * x_in[20] + vX_[678] * x_in[19] + (vX_[3030] * vX_[993] + vX_[619] * vX_[316] + vX_[3397] * x_in[19]) * -0.3735 + (vX_[2985] * vX_[993] + vX_[3397] * x_in[18]) * -0.207 + (vX_[3046] * vX_[1017] + vX_[747] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[730] = vX_[3295] - vX_[3213];
+ vX_[514] = vX_[3210] + vX_[3290];
+ vX_[434] = vX_[3180] + vX_[3297];
+ vX_[619] = 0 - vX_[434];
+ vX_[469] = vX_[730] * vX_[235];
+ vX_[512] = vX_[730] * vX_[316];
+ vX_[520] = vX_[3154] + vX_[3293];
+ vX_[1208] = vX_[3320] + vX_[3326];
+ vX_[414] = vX_[3170] + vX_[3291];
+ vX_[524] = vX_[3117] + vX_[3123];
+ vX_[567] = vX_[524] * vX_[316] + vX_[414] * vX_[235];
+ vX_[573] = vX_[524] * vX_[329] + vX_[414] * vX_[316];
+ vX_[596] = vX_[3310] + vX_[3325];
+ vX_[622] = 0 - (vX_[2987] + vX_[3245]) + vX_[596];
+ vX_[623] = vX_[3318] - vX_[3205];
+ vX_[642] = vX_[3163] + vX_[3289];
+ vX_[643] = vX_[3331] + vX_[3328];
+ vX_[3453] = 0 - vX_[643];
+ vX_[3413] = vX_[623] * vX_[235];
+ vX_[522] = vX_[623] * vX_[316];
+ vX_[1175] = vX_[3153] + vX_[3068] * 0.207;
+ vX_[1164] = vX_[3129] * vX_[956] + vX_[3165] * vX_[316] + vX_[3068] * vX_[954] + vX_[3012] * vX_[955] + vX_[3118] * vX_[236];
+ vX_[1237] = vX_[3068] * vX_[316] + vX_[3012] * vX_[235];
+ vX_[1062] = vX_[1175] * vX_[967] + vX_[1164] * vX_[237] + vX_[1237] * vX_[968];
+ vX_[771] = vX_[1175] * vX_[953] + vX_[1164] * vX_[265] + vX_[1237] * vX_[283];
+ vX_[785] = vX_[1062] * 1 / vX_[262];
+ vX_[1070] = vX_[771] * 1 / vX_[262];
+ vX_[772] = vX_[1237] * 1 / vX_[262];
+ vX_[1568] = vX_[1175] * 1 / vX_[313];
+ vX_[1020] = vX_[3129] * vX_[316] + vX_[3165] * vX_[235] + vX_[3068] * vX_[330] + vX_[3012] * vX_[328] + vX_[3118] * vX_[935];
+ vX_[756] = vX_[1020] * 1 / vX_[313];
+ vX_[629] = vX_[1164] * 1 / vX_[313];
+ vX_[3474] = vX_[3118] * 1 / vX_[313];
+ vX_[1093] = vX_[1237] * 1 / vX_[313];
+ vX_[581] = vX_[3068] * vX_[329] + vX_[3012] * vX_[316];
+ vX_[1306] = vX_[581] * 1 / vX_[313];
+ vX_[590] = vX_[3118] - (vX_[1568] * vX_[325] + vX_[756] * vX_[287] + vX_[629] * vX_[278] + vX_[3474] * vX_[313] + vX_[1093] * vX_[338] + vX_[1306] * vX_[347]);
+ vX_[688] = vX_[590] * vX_[266] + vX_[581] * vX_[238];
+ vX_[1083] = vX_[688] * 1 / vX_[262];
+ vX_[536] = vX_[590] * vX_[238] + vX_[581] * vX_[265];
+ vX_[598] = vX_[536] * 1 / vX_[262];
+ vX_[949] = vX_[1237] - (vX_[785] * vX_[273] + vX_[1070] * vX_[260] + vX_[772] * vX_[262] + vX_[1083] * vX_[269] + vX_[598] * vX_[250]);
+ vX_[1368] = vX_[1062] * vX_[241] + vX_[771] * vX_[239] + vX_[949] * vX_[244];
+ vX_[2151] = vX_[1062] * vX_[239] + vX_[771] * vX_[977] + vX_[949] * vX_[978];
+ vX_[1536] = vX_[949] - (vX_[2151] * 38.1956380581338 * 0.1104774 + vX_[1368] * 38.1956380581338 * -0.0004405 + vX_[949] * 38.1956380581338 * 0.026181);
+ vX_[3281] = vX_[688] * vX_[239] + vX_[536] * vX_[242];
+ vX_[3394] = vX_[1368] * 0.881 + (0 - vX_[1536]) * 0.0004405 + vX_[3281] * -8.81e-05;
+ vX_[1226] = vX_[2151] * -0.881;
+ vX_[1198] = vX_[1536] * 0.1104774;
+ vX_[630] = vX_[688] * vX_[241] + vX_[536] * vX_[239];
+ vX_[3457] = vX_[630] * -8.81e-05;
+ vX_[3456] = vX_[1226] - vX_[1198] + vX_[3457];
+ vX_[1218] = vX_[3394] * vX_[975] + vX_[3456] * vX_[972];
+ vX_[1676] = vX_[771] * 3.146 + (0 - vX_[949]) * -0.0825825;
+ vX_[3452] = vX_[1062] * -3.146;
+ vX_[674] = vX_[949] * 0.47422804;
+ vX_[3278] = vX_[3452] - vX_[674];
+ vX_[1295] = vX_[1218] + vX_[1676] * vX_[963] + vX_[3278] * vX_[960];
+ vX_[2373] = vX_[1164] * 3.44 + vX_[1237] * -0.5824264;
+ vX_[739] = 0 - vX_[2373];
+ vX_[715] = vX_[1175] * 3.44 + (0 - vX_[1237]) * 0.1466472;
+ vX_[426] = vX_[1175] * vX_[332] + vX_[1020] * vX_[315] + vX_[1164] * vX_[324] + vX_[1237] * vX_[503] + vX_[581] * vX_[556];
+ vX_[3499] = vX_[1295] + vX_[739] * vX_[840] + vX_[715] * vX_[950] + vX_[426] * x_in[27];
+ vX_[3497] = 0 - vX_[3394];
+ vX_[3457] = 0 - vX_[1226] + vX_[1198] - vX_[3457];
+ vX_[1198] = vX_[1020] + vX_[590] * 0.08;
+ vX_[1226] = vX_[1198] + vX_[688] * -0.35;
+ vX_[3426] = vX_[1226] * 0.0004405 + vX_[2151] * -8.81e-05 + vX_[630] * -0.000227999999999999;
+ vX_[3430] = vX_[1226] * 0.1104774 + vX_[1368] * -8.81e-05 + (0 - vX_[3281]) * 0.025713;
+ vX_[3429] = (0 - vX_[2151]) * 0.0004405;
+ vX_[3428] = (0 - vX_[1368]) * 0.1104774;
+ vX_[3498] = vX_[3429] + vX_[3428];
+ vX_[3498] = vX_[3497] * vX_[979] + vX_[3457] * vX_[970] + vX_[3426] * vX_[975] + vX_[3430] * vX_[972] + vX_[3498] * vX_[966] + vX_[3498] * vX_[966];
+ vX_[3493] = vX_[1226] * 0.881 + (0 - vX_[3281]) * 0.1104774 + vX_[630] * 0.0004405;
+ vX_[3468] = vX_[2151] * 0.00185880198235362 + vX_[1368] * 0.880992588508842 + vX_[3281] * -8.81e-05;
+ vX_[3497] = vX_[3497] * vX_[966] + vX_[3493] * vX_[972] + vX_[3468] * x_in[29];
+ vX_[3427] = 0 - vX_[3493];
+ vX_[731] = vX_[2151] * 0.414812462825713 + vX_[1368] * 0.00185880198235362 + vX_[630] * 8.81e-05;
+ vX_[3457] = vX_[3457] * vX_[966] + vX_[3427] * vX_[975] - vX_[731] * x_in[29];
+ vX_[706] = 0 - vX_[1676];
+ vX_[674] = 0 - vX_[3452] + vX_[674];
+ vX_[3452] = vX_[1198] * -0.0825825 + (0 - vX_[949]) * 0.000102 + vX_[688] * 0.007418 + vX_[536] * 0.002735;
+ vX_[352] = vX_[1198] * 0.47422804 + vX_[949] * 2.1e-05 + (0 - vX_[688]) * 0.084376 + (0 - vX_[536]) * 0.007418;
+ vX_[606] = (0 - vX_[1062]) * -0.0825825;
+ vX_[635] = (0 - vX_[771]) * 0.47422804;
+ vX_[3425] = vX_[688] * 0.000102;
+ vX_[3496] = (0 - vX_[536]) * 2.1e-05;
+ vX_[3423] = vX_[606] + vX_[635] + vX_[3425] + vX_[3496];
+ vX_[3423] = vX_[3498] + vX_[3497] * vX_[978] + vX_[3457] * vX_[244] + vX_[706] * vX_[969] + vX_[674] * vX_[958] + vX_[3452] * vX_[963] + vX_[352] * vX_[960] + vX_[3423] * vX_[952] + vX_[3423] * vX_[952];
+ vX_[3469] = vX_[1198] * 3.146 + (0 - vX_[688]) * 0.47422804 + vX_[536] * -0.0825825;
+ vX_[737] = vX_[1062] * vX_[292] + vX_[771] * vX_[291] + vX_[688] * vX_[270] + vX_[536] * vX_[264];
+ vX_[706] = vX_[3497] * vX_[239] + vX_[3457] * vX_[241] + vX_[706] * vX_[952] + vX_[3469] * vX_[960] + vX_[737] * x_in[28];
+ vX_[709] = 0 - vX_[3469];
+ vX_[3421] = vX_[1062] * vX_[290] + vX_[771] * vX_[292] + vX_[688] * vX_[276] + vX_[536] * vX_[275];
+ vX_[674] = vX_[3497] * vX_[977] + vX_[3457] * vX_[239] + vX_[674] * vX_[952] + vX_[709] * vX_[963] - vX_[3421] * x_in[28];
+ vX_[3418] = 0 - vX_[715];
+ vX_[3494] = vX_[1020] * -0.5824264 + (0 - vX_[590]) * 0.022734 + vX_[1237] * 3.6e-05 + vX_[581] * -0.133138;
+ vX_[3492] = vX_[1020] * 0.1466472 + vX_[590] * 0.009466 + (0 - vX_[1237]) * -5.1e-05 + vX_[581] * 0.022734;
+ vX_[3424] = (0 - vX_[1175]) * -0.5824264;
+ vX_[3422] = (0 - vX_[1164]) * 0.1466472;
+ vX_[234] = (0 - vX_[590]) * 3.6e-05;
+ vX_[3419] = (0 - vX_[581]) * -5.1e-05;
+ vX_[3506] = vX_[3424] + vX_[3422] + vX_[234] - vX_[3419];
+ vX_[3507] = vX_[1175] * vX_[348] + vX_[1020] * vX_[502] + vX_[1164] * vX_[556] + vX_[1237] * vX_[555] + vX_[581] * vX_[312];
+ vX_[3506] = vX_[3423] + vX_[706] * vX_[968] + vX_[674] * vX_[283] + vX_[2373] * vX_[846] + vX_[3418] * vX_[957] + vX_[3494] * vX_[840] + vX_[3492] * vX_[950] + vX_[3506] * vX_[937] + vX_[3506] * vX_[937] + vX_[3507] * x_in[27];
+ vX_[3508] = vX_[3300] - vX_[3205];
+ vX_[3509] = vX_[3508] * vX_[316] + vX_[642] * vX_[235];
+ vX_[3510] = vX_[3508] * vX_[329] + vX_[642] * vX_[316];
+ vX_[3511] = vX_[3510] + vX_[3413];
+ vX_[3512] = vX_[3509] * vX_[329] + vX_[3511] * vX_[316] + vX_[522] * vX_[235];
+ vX_[3513] = 0 - vX_[3512];
+ vX_[3514] = vX_[3205] + vX_[3509] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[3515] = 0 - vX_[3514];
+ vX_[3516] = vX_[3205] + vX_[3510] * vX_[329] + vX_[522] * vX_[316];
+ vX_[3517] = vX_[3164] + vX_[3241] - vX_[1208];
+ vX_[3518] = vX_[596] * vX_[316] + vX_[1208] * vX_[235];
+ vX_[3519] = 0 - (vX_[3517] * vX_[329] + vX_[622] * vX_[316]) + vX_[3518];
+ vX_[3520] = vX_[3519] + vX_[3514] * vX_[317];
+ vX_[3521] = 0 - vX_[3520];
+ vX_[3522] = vX_[596] * vX_[329] + vX_[1208] * vX_[316];
+ vX_[3523] = vX_[3517] * vX_[316] + vX_[622] * vX_[235] + vX_[3522];
+ vX_[3524] = 0 - vX_[3516];
+ vX_[3525] = vX_[3523] + vX_[3512] * vX_[317] + vX_[3524] * vX_[236];
+ vX_[3526] = vX_[3219] + vX_[3292];
+ vX_[3527] = vX_[520] * vX_[316] + vX_[3526] * vX_[329];
+ vX_[3528] = vX_[3527] * vX_[316] + vX_[573] * vX_[235];
+ vX_[3529] = vX_[3182] + vX_[3308];
+ vX_[643] = 0 - vX_[643];
+ vX_[3530] = vX_[3529] * vX_[329] + vX_[643] * vX_[316];
+ vX_[3531] = 0 - vX_[3530];
+ vX_[3532] = vX_[3528] + vX_[3531] * vX_[236] + vX_[3515] * vX_[331];
+ vX_[3533] = 0 - vX_[3532];
+ vX_[3534] = vX_[520] * vX_[235] + vX_[3526] * vX_[316];
+ vX_[3535] = vX_[3534] * vX_[329] + vX_[567] * vX_[316];
+ vX_[3536] = vX_[3529] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[3537] = 0 - vX_[3536];
+ vX_[3538] = vX_[3535] + vX_[3537] * vX_[317] + vX_[3516] * vX_[331];
+ vX_[3539] = vX_[3534] * vX_[316] + vX_[567] * vX_[235];
+ vX_[3540] = vX_[3539] + vX_[3530] * vX_[317];
+ vX_[3541] = vX_[3527] * vX_[329] + vX_[573] * vX_[316];
+ vX_[3542] = vX_[3541] + vX_[3536] * vX_[236] + vX_[3513] * vX_[331];
+ vX_[3543] = 0 - vX_[3540] + vX_[3542];
+ vX_[3544] = 0 - vX_[3512];
+ vX_[3545] = 0 - vX_[3514];
+ vX_[3515] = vX_[3513] * vX_[559] + vX_[3515] * vX_[505] + vX_[3516] * vX_[295] + vX_[3521] * vX_[332] + vX_[3525] * vX_[343] + vX_[3533] * vX_[324] + vX_[3538] * vX_[318] + vX_[3543] * vX_[315] + vX_[3512] * vX_[553] + vX_[3544] * vX_[556] + vX_[3545] * vX_[504] + vX_[3516] * vX_[508];
+ vX_[3513] = vX_[1020] * -3.44;
+ vX_[3546] = vX_[590] * 0.1466472;
+ vX_[3547] = vX_[581] * -0.5824264;
+ vX_[3548] = 0 - vX_[3513] + vX_[3546] - vX_[3547];
+ vX_[3549] = vX_[1175] * vX_[343] + vX_[1020] * vX_[318] + vX_[1164] * vX_[315] + vX_[1237] * vX_[553] + vX_[581] * vX_[502];
+ vX_[3418] = vX_[706] * vX_[237] + vX_[674] * vX_[265] + vX_[3548] * vX_[840] + vX_[3418] * vX_[937] - vX_[3549] * x_in[27];
+ vX_[3550] = vX_[3300] + vX_[3318] + vX_[3205] - vX_[3514] - vX_[3516];
+ vX_[3551] = 0 - vX_[3550];
+ vX_[3518] = vX_[3518] + vX_[3551] * vX_[317];
+ vX_[3522] = vX_[3522] + vX_[3550] * vX_[236];
+ vX_[3552] = 0 - vX_[3525];
+ vX_[3553] = 0 - vX_[3538];
+ vX_[3554] = vX_[3330] + vX_[3327] + vX_[3526] + vX_[414] - vX_[3539] - vX_[3541];
+ vX_[3542] = vX_[3554] - vX_[3542];
+ vX_[3555] = 0 - vX_[3530];
+ vX_[3556] = 0 - vX_[3512];
+ vX_[3557] = 0 - vX_[3516];
+ vX_[3558] = vX_[3288] - vX_[3213];
+ vX_[3559] = vX_[3155] + vX_[3298];
+ vX_[3560] = vX_[3558] * vX_[316] + vX_[514] * vX_[235];
+ vX_[3561] = vX_[3558] * vX_[329] + vX_[514] * vX_[316];
+ vX_[1536] = vX_[2151] * 0.1104774 + vX_[1368] * 0.0004405 + vX_[1536] * 0.025941;
+ vX_[3562] = (0 - vX_[1226]) * -8.81e-05;
+ vX_[3428] = vX_[3562] + vX_[3428];
+ vX_[630] = vX_[1226] * 0.0004405 + vX_[2151] * 8.81e-05 + vX_[630] * 0.000468;
+ vX_[3428] = vX_[3394] * vX_[973] + vX_[3427] * vX_[970] + vX_[3426] * vX_[966] + vX_[1536] * vX_[972] + vX_[3428] * vX_[975] + vX_[3428] * vX_[975] + vX_[630] * x_in[29];
+ vX_[3562] = vX_[3562] + vX_[3429];
+ vX_[1226] = vX_[1226] * -0.1104774 + vX_[1368] * -8.81e-05 + vX_[3281] * 0.026409;
+ jac[1078] = vX_[731] * vX_[984] + vX_[3468] * vX_[979] + vX_[1226] * vX_[992] + vX_[630] * vX_[975] + vX_[3498];
+ vX_[1226] = vX_[3456] * vX_[973] + vX_[3493] * vX_[979] + vX_[3430] * vX_[966] + vX_[1536] * vX_[975] + vX_[3562] * vX_[972] + vX_[3562] * vX_[972] - vX_[1226] * x_in[29];
+ vX_[3562] = vX_[1062] * 0.47422804 + vX_[771] * -0.0825825 + vX_[949] * 0.081641 + (0 - vX_[688]) * 2.1e-05 + vX_[536] * 0.000102;
+ vX_[1536] = (0 - vX_[949]) * 0.007418;
+ vX_[3496] = vX_[635] + vX_[1536] - vX_[3496];
+ vX_[635] = vX_[1198] * vX_[259] + vX_[1062] * vX_[275] + vX_[771] * vX_[264] + vX_[688] * vX_[307] + vX_[536] * vX_[303];
+ vX_[3496] = vX_[1218] * -0.35 + vX_[3428] * vX_[239] + vX_[1226] * vX_[241] + vX_[1676] * vX_[961] + vX_[709] * vX_[958] + vX_[3452] * vX_[952] + vX_[3562] * vX_[960] + vX_[3496] * vX_[963] + vX_[3496] * vX_[963] + vX_[635] * x_in[28];
+ vX_[1536] = vX_[606] - vX_[1536] - vX_[3425];
+ vX_[3425] = vX_[1198] * vX_[272] + vX_[1062] * vX_[276] + vX_[771] * vX_[270] + vX_[688] * vX_[301] + vX_[536] * vX_[307];
+ jac[1042] = vX_[3421] * vX_[1002] + vX_[737] * vX_[969] + vX_[3425] * vX_[999] + vX_[635] * vX_[963] + vX_[3423];
+ vX_[3425] = vX_[3428] * vX_[242] + vX_[1226] * vX_[239] + vX_[3278] * vX_[961] + vX_[3469] * vX_[969] + vX_[352] * vX_[952] + vX_[3562] * vX_[963] + vX_[1536] * vX_[960] + vX_[1536] * vX_[960] - vX_[3425] * x_in[28];
+ vX_[3547] = vX_[3513] - vX_[3546] + vX_[3547];
+ vX_[3546] = vX_[1175] * 0.1466472 + vX_[1164] * -0.5824264 + vX_[590] * -5.1e-05 + (0 - vX_[1237]) * -0.123672 + (0 - vX_[581]) * 3.6e-05;
+ vX_[3513] = vX_[1237] * 0.022734;
+ vX_[234] = vX_[3424] - vX_[234] - vX_[3513];
+ vX_[3424] = vX_[1175] * vX_[286] + vX_[1020] * vX_[553] + vX_[1164] * vX_[503] + vX_[1237] * vX_[501] + vX_[581] * vX_[555];
+ vX_[234] = vX_[3496] * vX_[238] + vX_[3425] * vX_[265] + vX_[3547] * vX_[846] + vX_[715] * vX_[934] + vX_[3546] * vX_[840] + vX_[3492] * vX_[937] + vX_[234] * vX_[950] + vX_[234] * vX_[950] - vX_[3424] * x_in[27];
+ vX_[434] = 0 - vX_[434];
+ vX_[3492] = vX_[3561] + vX_[469];
+ vX_[715] = 0 - vX_[3518];
+ vX_[1536] = 0 - vX_[3522];
+ vX_[3554] = 0 - vX_[3554] + vX_[3540];
+ vX_[3540] = 0 - vX_[3536];
+ jac[358] = 0 - (vX_[3165] * vX_[993] + vX_[3012] * vX_[982] + vX_[730] * vX_[673] + vX_[514] * vX_[675] + vX_[619] * vX_[332] + vX_[469] * vX_[233] + vX_[512] * vX_[315] + vX_[520] * vX_[640] + vX_[1208] * vX_[340] + vX_[414] * vX_[614] + vX_[567] * vX_[558] + vX_[573] * vX_[616] + vX_[622] * vX_[349] + vX_[623] * vX_[563] + vX_[642] * vX_[565] + vX_[3453] * vX_[593] + vX_[3413] * vX_[507] + vX_[522] * vX_[560] + vX_[3499] * x_in[22] + vX_[3506] * x_in[19] + (vX_[3068] * vX_[993] + vX_[3515] * vX_[329] + vX_[3499] * x_in[20]) * 0.3735 - (vX_[3129] * vX_[1017] + vX_[3418] * x_in[23]) + (vX_[3012] * vX_[1017] + vX_[3418] * x_in[19]) * 0.3735 + (vX_[3118] * vX_[1017] + vX_[3531] * vX_[505] + vX_[3536] * vX_[559] + vX_[3550] * vX_[342] + vX_[3524] * vX_[344] + vX_[3518] * vX_[315] + vX_[3522] * vX_[324] + vX_[3552] * vX_[327] + vX_[3553] * vX_[343] + vX_[3542] * vX_[332] + vX_[3555] * vX_[503] + vX_[3536] * vX_[556] + vX_[3556] * vX_[286] + vX_[3557] * vX_[510] + vX_[3418] * x_in[18]) * 0.207 - (vX_[3068] * vX_[987] + vX_[3558] * vX_[672] + vX_[3559] * vX_[652] + vX_[3560] * vX_[315] + vX_[3561] * vX_[123] + vX_[524] * vX_[617] + vX_[596] * vX_[350] + vX_[3526] * vX_[639] + vX_[3534] * vX_[613] + vX_[3527] * vX_[615] + vX_[3517] * vX_[339] + vX_[3508] * vX_[562] + vX_[3529] * vX_[592] + vX_[3509] * vX_[560] + vX_[3510] * vX_[511] + vX_[3515] * vX_[330] + vX_[234] * x_in[20])) * vX_[746] + (vX_[3129] * vX_[993] + vX_[3165] * vX_[1017] + vX_[3068] * vX_[982] + vX_[3012] * vX_[987] + vX_[3558] * vX_[675] + vX_[730] * vX_[671] + vX_[514] * vX_[672] + vX_[3559] * vX_[332] + vX_[434] * vX_[652] + vX_[3560] * vX_[233] + vX_[3492] * vX_[315] + vX_[512] * vX_[123] + vX_[520] * vX_[639] + vX_[524] * vX_[614] + vX_[596] * vX_[340] + vX_[1208] * vX_[350] + vX_[3526] * vX_[640] + vX_[414] * vX_[617] + vX_[3534] * vX_[558] + vX_[3527] * vX_[616] + vX_[567] * vX_[613] + vX_[573] * vX_[615] + vX_[3517] * vX_[349] + vX_[622] * vX_[339] + vX_[3508] * vX_[565] + vX_[623] * vX_[561] + vX_[642] * vX_[562] + vX_[3529] * vX_[593] + vX_[643] * vX_[592] + vX_[3509] * vX_[507] + vX_[3511] * vX_[560] + vX_[522] * vX_[511] + vX_[3515] * vX_[328] + (vX_[3530] * vX_[557] + vX_[3537] * vX_[295] + vX_[3512] * vX_[344] + vX_[3551] * vX_[319] + vX_[3514] * vX_[333] + vX_[715] * vX_[318] + vX_[3520] * vX_[327] + vX_[1536] * vX_[315] + vX_[3532] * vX_[332] + vX_[3554] * vX_[343] + vX_[3530] * vX_[553] + vX_[3540] * vX_[502] + vX_[3512] * vX_[348] + vX_[3514] * vX_[499]) * 0.207 + vX_[3499] * x_in[23] + vX_[3418] * x_in[22] + vX_[3506] * x_in[20] + vX_[234] * x_in[19] + (vX_[3012] * vX_[993] + vX_[3515] * vX_[316] + vX_[3499] * x_in[19]) * -0.3735 + (vX_[3118] * vX_[993] + vX_[3499] * x_in[18]) * -0.207 + (vX_[3068] * vX_[1017] + vX_[3418] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[3558] = vX_[703] - vX_[1016];
+ vX_[3551] = vX_[3362] + vX_[3441];
+ vX_[3550] = vX_[3332] + vX_[3444];
+ vX_[3515] = 0 - vX_[3550];
+ vX_[3537] = vX_[3558] * vX_[235];
+ vX_[3534] = vX_[3558] * vX_[316];
+ vX_[3531] = vX_[3306] + vX_[3442];
+ vX_[643] = vX_[728] + vX_[3461];
+ vX_[3529] = vX_[3322] + vX_[861];
+ vX_[3527] = vX_[3269] + vX_[3393];
+ vX_[3526] = vX_[3527] * vX_[316] + vX_[3529] * vX_[235];
+ vX_[3524] = vX_[3527] * vX_[329] + vX_[3529] * vX_[316];
+ vX_[3517] = vX_[1014] + vX_[3460];
+ vX_[3511] = 0 - (vX_[3237] + vX_[700]) + vX_[3517];
+ vX_[3510] = vX_[922] - vX_[1052];
+ vX_[3509] = vX_[3315] + vX_[645];
+ vX_[3508] = vX_[1050] + vX_[3463];
+ vX_[522] = 0 - vX_[3508];
+ vX_[3413] = vX_[3510] * vX_[235];
+ vX_[3453] = vX_[3510] * vX_[316];
+ vX_[642] = vX_[3305] + vX_[3125] * 0.207;
+ vX_[623] = vX_[682] * vX_[956] + vX_[3317] * vX_[316] + vX_[3125] * vX_[954] + vX_[3242] * vX_[955] + vX_[3358] * vX_[236];
+ vX_[622] = vX_[3125] * vX_[316] + vX_[3242] * vX_[235];
+ vX_[596] = vX_[642] * vX_[967] + vX_[623] * vX_[237] + vX_[622] * vX_[968];
+ vX_[573] = vX_[642] * vX_[953] + vX_[623] * vX_[265] + vX_[622] * vX_[283];
+ vX_[567] = vX_[596] * 1 / vX_[262];
+ vX_[524] = vX_[573] * 1 / vX_[262];
+ vX_[414] = vX_[622] * 1 / vX_[262];
+ vX_[1208] = vX_[642] * 1 / vX_[313];
+ vX_[520] = vX_[682] * vX_[316] + vX_[3317] * vX_[235] + vX_[3125] * vX_[330] + vX_[3242] * vX_[328] + vX_[3358] * vX_[935];
+ vX_[514] = vX_[520] * 1 / vX_[313];
+ vX_[730] = vX_[623] * 1 / vX_[313];
+ vX_[3562] = vX_[3358] * 1 / vX_[313];
+ vX_[3469] = vX_[622] * 1 / vX_[313];
+ vX_[352] = vX_[3125] * vX_[329] + vX_[3242] * vX_[316];
+ vX_[3278] = vX_[352] * 1 / vX_[313];
+ vX_[635] = vX_[3358] - (vX_[1208] * vX_[325] + vX_[514] * vX_[287] + vX_[730] * vX_[278] + vX_[3562] * vX_[313] + vX_[3469] * vX_[338] + vX_[3278] * vX_[347]);
+ vX_[3421] = vX_[635] * vX_[266] + vX_[352] * vX_[238];
+ vX_[737] = vX_[3421] * 1 / vX_[262];
+ vX_[3423] = vX_[635] * vX_[238] + vX_[352] * vX_[265];
+ vX_[606] = vX_[3423] * 1 / vX_[262];
+ vX_[709] = vX_[622] - (vX_[567] * vX_[273] + vX_[524] * vX_[260] + vX_[414] * vX_[262] + vX_[737] * vX_[269] + vX_[606] * vX_[250]);
+ vX_[3452] = vX_[596] * vX_[241] + vX_[573] * vX_[239] + vX_[709] * vX_[244];
+ vX_[1676] = vX_[596] * vX_[239] + vX_[573] * vX_[977] + vX_[709] * vX_[978];
+ vX_[1218] = vX_[709] - (vX_[1676] * 38.1956380581338 * 0.1104774 + vX_[3452] * 38.1956380581338 * -0.0004405 + vX_[709] * 38.1956380581338 * 0.026181);
+ vX_[3493] = vX_[3421] * vX_[239] + vX_[3423] * vX_[242];
+ vX_[3430] = vX_[3452] * 0.881 + (0 - vX_[1218]) * 0.0004405 + vX_[3493] * -8.81e-05;
+ vX_[3456] = vX_[1676] * -0.881;
+ vX_[630] = vX_[1218] * 0.1104774;
+ vX_[731] = vX_[3421] * vX_[241] + vX_[3423] * vX_[239];
+ vX_[3468] = vX_[731] * -8.81e-05;
+ vX_[3498] = vX_[3456] - vX_[630] + vX_[3468];
+ vX_[3281] = vX_[3430] * vX_[975] + vX_[3498] * vX_[972];
+ vX_[1368] = vX_[573] * 3.146 + (0 - vX_[709]) * -0.0825825;
+ vX_[3429] = vX_[596] * -3.146;
+ vX_[3427] = vX_[709] * 0.47422804;
+ vX_[3426] = vX_[3429] - vX_[3427];
+ vX_[3394] = vX_[3281] + vX_[1368] * vX_[963] + vX_[3426] * vX_[960];
+ vX_[2151] = vX_[623] * 3.44 + vX_[622] * -0.5824264;
+ vX_[3563] = 0 - vX_[2151];
+ vX_[3564] = vX_[642] * 3.44 + (0 - vX_[622]) * 0.1466472;
+ vX_[3565] = vX_[642] * vX_[332] + vX_[520] * vX_[315] + vX_[623] * vX_[324] + vX_[622] * vX_[503] + vX_[352] * vX_[556];
+ vX_[3566] = vX_[3394] + vX_[3563] * vX_[840] + vX_[3564] * vX_[950] + vX_[3565] * x_in[27];
+ vX_[3567] = 0 - vX_[3430];
+ vX_[3468] = 0 - vX_[3456] + vX_[630] - vX_[3468];
+ vX_[630] = vX_[520] + vX_[635] * 0.08;
+ vX_[3456] = vX_[630] + vX_[3421] * -0.35;
+ vX_[3568] = vX_[3456] * 0.0004405 + vX_[1676] * -8.81e-05 + vX_[731] * -0.000227999999999999;
+ vX_[3569] = vX_[3456] * 0.1104774 + vX_[3452] * -8.81e-05 + (0 - vX_[3493]) * 0.025713;
+ vX_[3570] = (0 - vX_[1676]) * 0.0004405;
+ vX_[3571] = (0 - vX_[3452]) * 0.1104774;
+ vX_[3572] = vX_[3570] + vX_[3571];
+ vX_[3572] = vX_[3567] * vX_[979] + vX_[3468] * vX_[970] + vX_[3568] * vX_[975] + vX_[3569] * vX_[972] + vX_[3572] * vX_[966] + vX_[3572] * vX_[966];
+ vX_[3573] = vX_[3456] * 0.881 + (0 - vX_[3493]) * 0.1104774 + vX_[731] * 0.0004405;
+ vX_[3574] = vX_[1676] * 0.00185880198235362 + vX_[3452] * 0.880992588508842 + vX_[3493] * -8.81e-05;
+ vX_[3567] = vX_[3567] * vX_[966] + vX_[3573] * vX_[972] + vX_[3574] * x_in[29];
+ vX_[3575] = 0 - vX_[3573];
+ vX_[3576] = vX_[1676] * 0.414812462825713 + vX_[3452] * 0.00185880198235362 + vX_[731] * 8.81e-05;
+ vX_[3468] = vX_[3468] * vX_[966] + vX_[3575] * vX_[975] - vX_[3576] * x_in[29];
+ vX_[3577] = 0 - vX_[1368];
+ vX_[3427] = 0 - vX_[3429] + vX_[3427];
+ vX_[3429] = vX_[630] * -0.0825825 + (0 - vX_[709]) * 0.000102 + vX_[3421] * 0.007418 + vX_[3423] * 0.002735;
+ vX_[3578] = vX_[630] * 0.47422804 + vX_[709] * 2.1e-05 + (0 - vX_[3421]) * 0.084376 + (0 - vX_[3423]) * 0.007418;
+ vX_[3579] = (0 - vX_[596]) * -0.0825825;
+ vX_[3580] = (0 - vX_[573]) * 0.47422804;
+ vX_[3581] = vX_[3421] * 0.000102;
+ vX_[3582] = (0 - vX_[3423]) * 2.1e-05;
+ vX_[3583] = vX_[3579] + vX_[3580] + vX_[3581] + vX_[3582];
+ vX_[3583] = vX_[3572] + vX_[3567] * vX_[978] + vX_[3468] * vX_[244] + vX_[3577] * vX_[969] + vX_[3427] * vX_[958] + vX_[3429] * vX_[963] + vX_[3578] * vX_[960] + vX_[3583] * vX_[952] + vX_[3583] * vX_[952];
+ vX_[978] = vX_[630] * 3.146 + (0 - vX_[3421]) * 0.47422804 + vX_[3423] * -0.0825825;
+ vX_[3584] = vX_[596] * vX_[292] + vX_[573] * vX_[291] + vX_[3421] * vX_[270] + vX_[3423] * vX_[264];
+ vX_[3577] = vX_[3567] * vX_[239] + vX_[3468] * vX_[241] + vX_[3577] * vX_[952] + vX_[978] * vX_[960] + vX_[3584] * x_in[28];
+ vX_[3585] = 0 - vX_[978];
+ vX_[3586] = vX_[596] * vX_[290] + vX_[573] * vX_[292] + vX_[3421] * vX_[276] + vX_[3423] * vX_[275];
+ vX_[3427] = vX_[3567] * vX_[977] + vX_[3468] * vX_[239] + vX_[3427] * vX_[952] + vX_[3585] * vX_[963] - vX_[3586] * x_in[28];
+ vX_[977] = 0 - vX_[3564];
+ vX_[3587] = vX_[520] * -0.5824264 + (0 - vX_[635]) * 0.022734 + vX_[622] * 3.6e-05 + vX_[352] * -0.133138;
+ vX_[3588] = vX_[520] * 0.1466472 + vX_[635] * 0.009466 + (0 - vX_[622]) * -5.1e-05 + vX_[352] * 0.022734;
+ vX_[3589] = (0 - vX_[642]) * -0.5824264;
+ vX_[3590] = (0 - vX_[623]) * 0.1466472;
+ vX_[3591] = (0 - vX_[635]) * 3.6e-05;
+ vX_[3592] = (0 - vX_[352]) * -5.1e-05;
+ vX_[3593] = vX_[3589] + vX_[3590] + vX_[3591] - vX_[3592];
+ vX_[312] = vX_[642] * vX_[348] + vX_[520] * vX_[502] + vX_[623] * vX_[556] + vX_[622] * vX_[555] + vX_[352] * vX_[312];
+ vX_[3593] = vX_[3583] + vX_[3577] * vX_[968] + vX_[3427] * vX_[283] + vX_[2151] * vX_[846] + vX_[977] * vX_[957] + vX_[3587] * vX_[840] + vX_[3588] * vX_[950] + vX_[3593] * vX_[937] + vX_[3593] * vX_[937] + vX_[312] * x_in[27];
+ vX_[3594] = vX_[595] - vX_[1052];
+ vX_[3595] = vX_[3594] * vX_[316] + vX_[3509] * vX_[235];
+ vX_[3596] = vX_[3594] * vX_[329] + vX_[3509] * vX_[316];
+ vX_[3597] = vX_[3596] + vX_[3413];
+ vX_[3598] = vX_[3595] * vX_[329] + vX_[3597] * vX_[316] + vX_[3453] * vX_[235];
+ vX_[3599] = 0 - vX_[3598];
+ vX_[3600] = vX_[1052] + vX_[3595] * vX_[316] + vX_[3413] * vX_[235];
+ vX_[3601] = 0 - vX_[3600];
+ vX_[3602] = vX_[1052] + vX_[3596] * vX_[329] + vX_[3453] * vX_[316];
+ vX_[3603] = vX_[3316] + vX_[694] - vX_[643];
+ vX_[3604] = vX_[3517] * vX_[316] + vX_[643] * vX_[235];
+ vX_[3605] = 0 - (vX_[3603] * vX_[329] + vX_[3511] * vX_[316]) + vX_[3604];
+ vX_[3606] = vX_[3605] + vX_[3600] * vX_[317];
+ vX_[3607] = 0 - vX_[3606];
+ vX_[3608] = vX_[3517] * vX_[329] + vX_[643] * vX_[316];
+ vX_[3609] = vX_[3603] * vX_[316] + vX_[3511] * vX_[235] + vX_[3608];
+ vX_[3610] = 0 - vX_[3602];
+ vX_[3611] = vX_[3609] + vX_[3598] * vX_[317] + vX_[3610] * vX_[236];
+ vX_[3612] = vX_[3371] + vX_[680];
+ vX_[3613] = vX_[3531] * vX_[316] + vX_[3612] * vX_[329];
+ vX_[3614] = vX_[3613] * vX_[316] + vX_[3524] * vX_[235];
+ vX_[3615] = vX_[3346] + vX_[692];
+ vX_[3508] = 0 - vX_[3508];
+ vX_[3616] = vX_[3615] * vX_[329] + vX_[3508] * vX_[316];
+ vX_[3617] = 0 - vX_[3616];
+ vX_[3618] = vX_[3614] + vX_[3617] * vX_[236] + vX_[3601] * vX_[331];
+ vX_[3619] = 0 - vX_[3618];
+ vX_[3620] = vX_[3531] * vX_[235] + vX_[3612] * vX_[316];
+ vX_[3621] = vX_[3620] * vX_[329] + vX_[3526] * vX_[316];
+ vX_[3622] = vX_[3615] * vX_[316] + vX_[522] * vX_[235];
+ vX_[3623] = 0 - vX_[3622];
+ vX_[3624] = vX_[3621] + vX_[3623] * vX_[317] + vX_[3602] * vX_[331];
+ vX_[3625] = vX_[3620] * vX_[316] + vX_[3526] * vX_[235];
+ vX_[3626] = vX_[3625] + vX_[3616] * vX_[317];
+ vX_[3627] = vX_[3613] * vX_[329] + vX_[3524] * vX_[316];
+ vX_[3628] = vX_[3627] + vX_[3622] * vX_[236] + vX_[3599] * vX_[331];
+ vX_[3629] = 0 - vX_[3626] + vX_[3628];
+ vX_[3630] = 0 - vX_[3598];
+ vX_[3631] = 0 - vX_[3600];
+ vX_[3601] = vX_[3599] * vX_[559] + vX_[3601] * vX_[505] + vX_[3602] * vX_[295] + vX_[3607] * vX_[332] + vX_[3611] * vX_[343] + vX_[3619] * vX_[324] + vX_[3624] * vX_[318] + vX_[3629] * vX_[315] + vX_[3598] * vX_[553] + vX_[3630] * vX_[556] + vX_[3631] * vX_[504] + vX_[3602] * vX_[508];
+ vX_[3599] = vX_[520] * -3.44;
+ vX_[508] = vX_[635] * 0.1466472;
+ vX_[504] = vX_[352] * -0.5824264;
+ vX_[3632] = 0 - vX_[3599] + vX_[508] - vX_[504];
+ vX_[3633] = vX_[642] * vX_[343] + vX_[520] * vX_[318] + vX_[623] * vX_[315] + vX_[622] * vX_[553] + vX_[352] * vX_[502];
+ vX_[977] = vX_[3577] * vX_[237] + vX_[3427] * vX_[265] + vX_[3632] * vX_[840] + vX_[977] * vX_[937] - vX_[3633] * x_in[27];
+ vX_[3634] = vX_[595] + vX_[922] + vX_[1052] - vX_[3600] - vX_[3602];
+ vX_[3635] = 0 - vX_[3634];
+ vX_[3604] = vX_[3604] + vX_[3635] * vX_[317];
+ vX_[3608] = vX_[3608] + vX_[3634] * vX_[236];
+ vX_[3636] = 0 - vX_[3611];
+ vX_[3637] = 0 - vX_[3624];
+ vX_[3638] = vX_[3465] + vX_[3462] + vX_[3612] + vX_[3529] - vX_[3625] - vX_[3627];
+ vX_[3628] = vX_[3638] - vX_[3628];
+ vX_[3639] = 0 - vX_[3616];
+ vX_[3640] = 0 - vX_[3598];
+ vX_[3641] = 0 - vX_[3602];
+ vX_[3642] = vX_[3439] - vX_[1016];
+ vX_[3643] = vX_[3307] + vX_[3445];
+ vX_[3644] = vX_[3642] * vX_[316] + vX_[3551] * vX_[235];
+ vX_[3645] = vX_[3642] * vX_[329] + vX_[3551] * vX_[316];
+ vX_[1218] = vX_[1676] * 0.1104774 + vX_[3452] * 0.0004405 + vX_[1218] * 0.025941;
+ vX_[3646] = (0 - vX_[3456]) * -8.81e-05;
+ vX_[3571] = vX_[3646] + vX_[3571];
+ vX_[731] = vX_[3456] * 0.0004405 + vX_[1676] * 8.81e-05 + vX_[731] * 0.000468;
+ vX_[3571] = vX_[3430] * vX_[973] + vX_[3575] * vX_[970] + vX_[3568] * vX_[966] + vX_[1218] * vX_[972] + vX_[3571] * vX_[975] + vX_[3571] * vX_[975] + vX_[731] * x_in[29];
+ vX_[3646] = vX_[3646] + vX_[3570];
+ vX_[3456] = vX_[3456] * -0.1104774 + vX_[3452] * -8.81e-05 + vX_[3493] * 0.026409;
+ jac[1079] = vX_[3576] * vX_[984] + vX_[3574] * vX_[979] + vX_[3456] * vX_[992] + vX_[731] * vX_[975] + vX_[3572];
+ vX_[3456] = vX_[3498] * vX_[973] + vX_[3573] * vX_[979] + vX_[3569] * vX_[966] + vX_[1218] * vX_[975] + vX_[3646] * vX_[972] + vX_[3646] * vX_[972] - vX_[3456] * x_in[29];
+ vX_[3646] = vX_[596] * 0.47422804 + vX_[573] * -0.0825825 + vX_[709] * 0.081641 + (0 - vX_[3421]) * 2.1e-05 + vX_[3423] * 0.000102;
+ vX_[1218] = (0 - vX_[709]) * 0.007418;
+ vX_[3582] = vX_[3580] + vX_[1218] - vX_[3582];
+ vX_[303] = vX_[630] * vX_[259] + vX_[596] * vX_[275] + vX_[573] * vX_[264] + vX_[3421] * vX_[307] + vX_[3423] * vX_[303];
+ vX_[3582] = vX_[3281] * -0.35 + vX_[3571] * vX_[239] + vX_[3456] * vX_[241] + vX_[1368] * vX_[961] + vX_[3585] * vX_[958] + vX_[3429] * vX_[952] + vX_[3646] * vX_[960] + vX_[3582] * vX_[963] + vX_[3582] * vX_[963] + vX_[303] * x_in[28];
+ vX_[1218] = vX_[3579] - vX_[1218] - vX_[3581];
+ vX_[301] = vX_[630] * vX_[272] + vX_[596] * vX_[276] + vX_[573] * vX_[270] + vX_[3421] * vX_[301] + vX_[3423] * vX_[307];
+ jac[1043] = vX_[3586] * vX_[1002] + vX_[3584] * vX_[969] + vX_[301] * vX_[999] + vX_[303] * vX_[963] + vX_[3583];
+ vX_[301] = vX_[3571] * vX_[242] + vX_[3456] * vX_[239] + vX_[3426] * vX_[961] + vX_[978] * vX_[969] + vX_[3578] * vX_[952] + vX_[3646] * vX_[963] + vX_[1218] * vX_[960] + vX_[1218] * vX_[960] - vX_[301] * x_in[28];
+ vX_[504] = vX_[3599] - vX_[508] + vX_[504];
+ vX_[508] = vX_[642] * 0.1466472 + vX_[623] * -0.5824264 + vX_[635] * -5.1e-05 + (0 - vX_[622]) * -0.123672 + (0 - vX_[352]) * 3.6e-05;
+ vX_[3599] = vX_[622] * 0.022734;
+ vX_[3591] = vX_[3589] - vX_[3591] - vX_[3599];
+ vX_[555] = vX_[642] * vX_[286] + vX_[520] * vX_[553] + vX_[623] * vX_[503] + vX_[622] * vX_[501] + vX_[352] * vX_[555];
+ vX_[3591] = vX_[3582] * vX_[238] + vX_[301] * vX_[265] + vX_[504] * vX_[846] + vX_[3564] * vX_[934] + vX_[508] * vX_[840] + vX_[3588] * vX_[937] + vX_[3591] * vX_[950] + vX_[3591] * vX_[950] - vX_[555] * x_in[27];
+ vX_[3550] = 0 - vX_[3550];
+ vX_[3588] = vX_[3645] + vX_[3537];
+ vX_[3564] = 0 - vX_[3604];
+ vX_[501] = 0 - vX_[3608];
+ vX_[3638] = 0 - vX_[3638] + vX_[3626];
+ vX_[3626] = 0 - vX_[3622];
+ jac[359] = 0 - (vX_[3317] * vX_[993] + vX_[3242] * vX_[982] + vX_[3558] * vX_[673] + vX_[3551] * vX_[675] + vX_[3515] * vX_[332] + vX_[3537] * vX_[233] + vX_[3534] * vX_[315] + vX_[3531] * vX_[640] + vX_[643] * vX_[340] + vX_[3529] * vX_[614] + vX_[3526] * vX_[558] + vX_[3524] * vX_[616] + vX_[3511] * vX_[349] + vX_[3510] * vX_[563] + vX_[3509] * vX_[565] + vX_[522] * vX_[593] + vX_[3413] * vX_[507] + vX_[3453] * vX_[560] + vX_[3566] * x_in[22] + vX_[3593] * x_in[19] + (vX_[3125] * vX_[993] + vX_[3601] * vX_[329] + vX_[3566] * x_in[20]) * 0.3735 - (vX_[682] * vX_[1017] + vX_[977] * x_in[23]) + (vX_[3242] * vX_[1017] + vX_[977] * x_in[19]) * 0.3735 + (vX_[3358] * vX_[1017] + vX_[3617] * vX_[505] + vX_[3622] * vX_[559] + vX_[3634] * vX_[342] + vX_[3610] * vX_[344] + vX_[3604] * vX_[315] + vX_[3608] * vX_[324] + vX_[3636] * vX_[327] + vX_[3637] * vX_[343] + vX_[3628] * vX_[332] + vX_[3639] * vX_[503] + vX_[3622] * vX_[556] + vX_[3640] * vX_[286] + vX_[3641] * vX_[510] + vX_[977] * x_in[18]) * 0.207 - (vX_[3125] * vX_[987] + vX_[3642] * vX_[672] + vX_[3643] * vX_[652] + vX_[3644] * vX_[315] + vX_[3645] * vX_[123] + vX_[3527] * vX_[617] + vX_[3517] * vX_[350] + vX_[3612] * vX_[639] + vX_[3620] * vX_[613] + vX_[3613] * vX_[615] + vX_[3603] * vX_[339] + vX_[3594] * vX_[562] + vX_[3615] * vX_[592] + vX_[3595] * vX_[560] + vX_[3596] * vX_[511] + vX_[3601] * vX_[330] + vX_[3591] * x_in[20])) * vX_[746] + (vX_[682] * vX_[993] + vX_[3317] * vX_[1017] + vX_[3125] * vX_[982] + vX_[3242] * vX_[987] + vX_[3642] * vX_[675] + vX_[3558] * vX_[671] + vX_[3551] * vX_[672] + vX_[3643] * vX_[332] + vX_[3550] * vX_[652] + vX_[3644] * vX_[233] + vX_[3588] * vX_[315] + vX_[3534] * vX_[123] + vX_[3531] * vX_[639] + vX_[3527] * vX_[614] + vX_[3517] * vX_[340] + vX_[643] * vX_[350] + vX_[3612] * vX_[640] + vX_[3529] * vX_[617] + vX_[3620] * vX_[558] + vX_[3613] * vX_[616] + vX_[3526] * vX_[613] + vX_[3524] * vX_[615] + vX_[3603] * vX_[349] + vX_[3511] * vX_[339] + vX_[3594] * vX_[565] + vX_[3510] * vX_[561] + vX_[3509] * vX_[562] + vX_[3615] * vX_[593] + vX_[3508] * vX_[592] + vX_[3595] * vX_[507] + vX_[3597] * vX_[560] + vX_[3453] * vX_[511] + vX_[3601] * vX_[328] + (vX_[3616] * vX_[557] + vX_[3623] * vX_[295] + vX_[3598] * vX_[344] + vX_[3635] * vX_[319] + vX_[3600] * vX_[333] + vX_[3564] * vX_[318] + vX_[3606] * vX_[327] + vX_[501] * vX_[315] + vX_[3618] * vX_[332] + vX_[3638] * vX_[343] + vX_[3616] * vX_[553] + vX_[3626] * vX_[502] + vX_[3598] * vX_[348] + vX_[3600] * vX_[499]) * 0.207 + vX_[3566] * x_in[23] + vX_[977] * x_in[22] + vX_[3593] * x_in[20] + vX_[3591] * x_in[19] + (vX_[3242] * vX_[993] + vX_[3601] * vX_[316] + vX_[3566] * x_in[19]) * -0.3735 + (vX_[3358] * vX_[993] + vX_[3566] * x_in[18]) * -0.207 + (vX_[3125] * vX_[1017] + vX_[977] * x_in[20]) * 0.3735) * vX_[3271];
+ vX_[3386] = vX_[3043] * vX_[316] + vX_[378] * vX_[235] + vX_[3202] * vX_[331] + vX_[3384] * vX_[317] + vX_[3386] * vX_[236] + vX_[445] * vX_[1012];
+ vX_[3384] = 0 - vX_[3386];
+ vX_[3192] = 0 - (vX_[3083] * vX_[329] + vX_[376] * vX_[316] + vX_[3411] * vX_[235] + vX_[3260] * vX_[236] + vX_[3192] * vX_[317] + vX_[3356] * vX_[331] + vX_[3490] * vX_[1012] + vX_[705] * vX_[1011]);
+ vX_[3071] = vX_[713] + vX_[3071] * vX_[329] + vX_[3411] * vX_[316];
+ vX_[3185] = vX_[3071] + vX_[3185] * vX_[236] + vX_[3380] * vX_[331] + vX_[705] * vX_[1012];
+ vX_[3380] = 0 - vX_[3185];
+ vX_[2977] = vX_[3355] + vX_[2977] * vX_[236] + vX_[3360] * vX_[331] * 2. + vX_[705] * vX_[1008] + vX_[720] * vX_[1012];
+ vX_[3360] = 0 - vX_[2977];
+ vX_[3391] = vX_[3350] + vX_[3314] * vX_[236] + vX_[3391] * vX_[331] + vX_[705] * vX_[1009] + vX_[3471] * vX_[1012];
+ vX_[3350] = 0 - vX_[3391];
+ vX_[3314] = (vX_[3380] * vX_[278] + vX_[3360] * vX_[338] + vX_[3350] * vX_[347]) * 1 / vX_[313];
+ vX_[3380] = vX_[782] * vX_[965] + vX_[3384] * vX_[326] + vX_[3192] * vX_[314] + vX_[3380] * vX_[341] + vX_[3314];
+ vX_[2970] = vX_[3225] + vX_[444] * vX_[317] + vX_[2970] * vX_[236] * 2. + vX_[445] * vX_[1009];
+ vX_[3225] = vX_[2970] * vX_[266] + vX_[3391] * vX_[238];
+ vX_[3355] = vX_[2970] * vX_[238] + vX_[3391] * vX_[265];
+ vX_[3199] = vX_[3351] + vX_[3199] * vX_[236] + vX_[3266] * vX_[317] * 2. + vX_[445] * vX_[1008];
+ vX_[3116] = 0 - (0 - (vX_[3043] * vX_[329] + vX_[390] * vX_[316]) + vX_[3344] * vX_[331] + vX_[3252] * vX_[236] + vX_[3116] * vX_[317] + vX_[445] * vX_[1011]);
+ vX_[3083] = vX_[713] + vX_[3083] * vX_[316] + vX_[3467] * vX_[235];
+ vX_[734] = 0 - (vX_[3083] + vX_[734] * vX_[317] + vX_[3345] * vX_[331] + vX_[3490] * vX_[1011]);
+ vX_[3120] = 0 - (vX_[3120] + vX_[3335] * vX_[317] + vX_[444] * vX_[331] + vX_[3490] * vX_[1008] + vX_[720] * vX_[1011]);
+ vX_[3361] = vX_[3262] + vX_[3361] * vX_[317] + vX_[3337] * vX_[331] * 2. + vX_[3490] * vX_[1009] + vX_[3471] * vX_[1011];
+ vX_[3262] = 0 - vX_[3361];
+ vX_[3192] = (vX_[734] * vX_[287] + vX_[3192] * vX_[278] + vX_[3120] * vX_[338] + vX_[3262] * vX_[347]) * 1 / vX_[313];
+ vX_[734] = 0 - vX_[3199] + vX_[768] * vX_[965] + vX_[3116] * vX_[326] + vX_[734] * vX_[314] + vX_[3192];
+ vX_[3490] = 0 - vX_[2970];
+ vX_[444] = vX_[444] + vX_[720] * vX_[1009] + vX_[3471] * vX_[1008];
+ vX_[3335] = 0 - vX_[444];
+ vX_[3337] = vX_[3337] + vX_[3471] * vX_[1009];
+ vX_[3345] = 0 - vX_[3337];
+ vX_[3467] = vX_[3345] * vX_[347] * 1 / vX_[313];
+ vX_[3345] = vX_[3470] * vX_[965] + vX_[3490] * vX_[326] + vX_[3262] * vX_[314] + vX_[3350] * vX_[341] + vX_[3335] * vX_[500] + vX_[3345] * vX_[509] + vX_[3467];
+ vX_[3262] = 0 - vX_[3199];
+ vX_[3266] = vX_[3266] + vX_[720] * vX_[1008];
+ vX_[3350] = 0 - vX_[3266];
+ vX_[3335] = (vX_[3350] * vX_[338] + vX_[3335] * vX_[347]) * 1 / vX_[313];
+ vX_[3350] = vX_[3495] * vX_[965] + vX_[3262] * vX_[326] + vX_[3120] * vX_[314] + vX_[3360] * vX_[341] + vX_[3350] * vX_[500] + vX_[3335];
+ vX_[3083] = vX_[698] + vX_[964] + vX_[713] - vX_[3083] - vX_[3071] + vX_[3112] * vX_[317] + vX_[3253] * vX_[236];
+ vX_[3071] = vX_[3083] - vX_[3185];
+ vX_[3253] = vX_[3071] * vX_[266] + vX_[3386] * vX_[238];
+ vX_[3112] = vX_[3071] * vX_[238] + vX_[3386] * vX_[265];
+ vX_[3083] = 0 - vX_[3083];
+ vX_[3262] = (vX_[3083] * vX_[325] + vX_[3116] * vX_[287] + vX_[3384] * vX_[278] + vX_[3262] * vX_[338] + vX_[3490] * vX_[347]) * 1 / vX_[313];
+ vX_[3083] = vX_[433] * vX_[965] + vX_[3083] * vX_[326] + vX_[3262];
+ vX_[3490] = vX_[3380] * vX_[238] + vX_[3083] * vX_[266];
+ vX_[3116] = vX_[3380] * vX_[265] + vX_[3083] * vX_[238];
+ vX_[3361] = vX_[2977] - vX_[3361];
+ vX_[3262] = 0 - vX_[433] * vX_[983] - vX_[768] * vX_[951] - vX_[782] * vX_[1015] - vX_[517] * vX_[974] + vX_[517] * vX_[965] - vX_[3495] * vX_[996] - vX_[3470] * vX_[989] - vX_[3262] * vX_[326] - vX_[3192] * vX_[314] - vX_[3314] * vX_[341] - vX_[3335] * vX_[500] - vX_[3467] * vX_[509];
+ vX_[3335] = 0 - vX_[3337] + vX_[3262];
+ vX_[3467] = vX_[3335] * vX_[266] + vX_[3345] * vX_[238];
+ vX_[3192] = vX_[3335] * vX_[238] + vX_[3345] * vX_[265];
+ vX_[3314] = vX_[3467] * vX_[238] + vX_[3192] * vX_[266];
+ vX_[3470] = vX_[3337] + vX_[3467] * vX_[266];
+ vX_[3495] = vX_[3337] + vX_[3192] * vX_[238];
+ vX_[3262] = vX_[3266] + vX_[3337] + vX_[3262] - vX_[3470] - vX_[3495];
+ vX_[3266] = 0 - vX_[3262];
+ vX_[3337] = vX_[3199] * vX_[266] + vX_[2977] * vX_[238];
+ vX_[517] = vX_[3337] + vX_[3266] * vX_[279];
+ vX_[782] = 0 - vX_[517];
+ vX_[3337] = 0 - (vX_[3361] * vX_[238] + vX_[734] * vX_[265]) + vX_[3337];
+ vX_[768] = vX_[3199] * vX_[238] + vX_[2977] * vX_[265];
+ vX_[433] = vX_[768] + vX_[3262] * vX_[283];
+ vX_[3384] = 0 - vX_[433];
+ vX_[3120] = 0 - (vX_[444] * vX_[238] + vX_[3350] * vX_[265]) + vX_[444] * vX_[238] * 2.;
+ vX_[3360] = 0 - vX_[3120];
+ vX_[390] = vX_[444] * vX_[266] + vX_[3350] * vX_[238] + vX_[444] * vX_[265] * 2.;
+ vX_[3043] = 0 - vX_[390];
+ vX_[3252] = sin(x_in[10]);
+ vX_[3344] = 0 - vX_[3495];
+ vX_[768] = vX_[3361] * vX_[266] + vX_[734] * vX_[238] + vX_[768];
+ vX_[3351] = 0 - vX_[3314];
+ vX_[3411] = 0 - vX_[3495];
+ vX_[376] = cos(x_in[10]);
+ jac[378] = 0 - (vX_[705] * vX_[976] + vX_[3471] * vX_[1006] + vX_[3386] * vX_[321] + vX_[3380] * vX_[271] + vX_[2977] * vX_[334] + vX_[3391] * vX_[346] + vX_[3225] * vX_[275] + vX_[3355] * vX_[264] + vX_[734] * vX_[282] + vX_[3345] * vX_[309] + vX_[444] * vX_[554] + vX_[3350] * vX_[337] + vX_[408] * vX_[957] + vX_[357] * vX_[950] - (vX_[445] * vX_[962] + vX_[361] * vX_[846]) + (vX_[720] * vX_[962] + vX_[361] * vX_[937]) * 0.08 - (vX_[3273] * vX_[997] + vX_[3071] * vX_[323] + vX_[3253] * vX_[322] + vX_[3112] * vX_[292] + vX_[3199] * vX_[281] + vX_[2970] * vX_[345] + vX_[3083] * vX_[277] + vX_[3490] * vX_[276] + vX_[3116] * vX_[270] + vX_[3361] * vX_[285] + vX_[3335] * vX_[311] + vX_[444] * vX_[335] + vX_[3467] * vX_[261] + vX_[3192] * vX_[308] + (vX_[3314] * vX_[284] + vX_[3266] * vX_[294] + vX_[3470] * vX_[280] + vX_[782] * vX_[290] + (vX_[3337] + vX_[3470] * vX_[279]) * 4.027 + vX_[3384] * vX_[292] + vX_[3360] * vX_[276] + vX_[3043] * vX_[275] + vX_[3314] * vX_[259] + vX_[3470] * vX_[310]) * 0.08 + vX_[3404] * vX_[840])) * vX_[3252] + (0 - (vX_[705] * vX_[962] + vX_[361] * vX_[957]) - (vX_[445] * vX_[976] + vX_[408] * vX_[846]) + (vX_[720] * vX_[976] + vX_[3262] * vX_[293] + vX_[3344] * vX_[284] + vX_[517] * vX_[292] + vX_[433] * vX_[291] + (0 - (vX_[768] + vX_[3314] * vX_[279] + vX_[3344] * vX_[283])) * 4.027 + vX_[3120] * vX_[270] + vX_[390] * vX_[264] + vX_[3351] * vX_[272] + vX_[3411] * vX_[304] + vX_[408] * vX_[937]) * 0.08 - (vX_[3273] * vX_[1006] + vX_[3471] * vX_[997] + vX_[3071] * vX_[321] + vX_[3386] * vX_[323] + vX_[3253] * vX_[292] + vX_[3112] * vX_[320] + vX_[3199] * vX_[334] + vX_[3380] * vX_[277] + vX_[2970] * vX_[346] + vX_[2977] * vX_[281] + vX_[3083] * vX_[271] + vX_[3391] * vX_[345] + vX_[3490] * vX_[275] + vX_[3116] * vX_[264] + vX_[3225] * vX_[276] + vX_[3355] * vX_[270] + vX_[3361] * vX_[282] + vX_[734] * vX_[285] + vX_[3335] * vX_[309] + vX_[3345] * vX_[311] + vX_[444] * vX_[336] + vX_[444] * vX_[337] + vX_[3350] * vX_[335] + vX_[3467] * vX_[308] + vX_[3192] * vX_[305] + vX_[3404] * vX_[950] + vX_[357] * vX_[840])) * vX_[376];
+ vX_[2743] = vX_[2680] * vX_[316] + vX_[3377] * vX_[235] + vX_[3051] * vX_[331] + vX_[2969] * vX_[317] + vX_[2743] * vX_[236] + vX_[521] * vX_[1012];
+ vX_[2969] = 0 - vX_[2743];
+ vX_[370] = 0 - (vX_[2917] * vX_[329] + vX_[2966] * vX_[316] + vX_[3259] * vX_[235] + vX_[2968] * vX_[236] + vX_[370] * vX_[317] + vX_[2783] * vX_[331] + vX_[386] * vX_[1012] + vX_[395] * vX_[1011]);
+ vX_[2906] = vX_[1043] + vX_[2906] * vX_[329] + vX_[3259] * vX_[316];
+ vX_[2830] = vX_[2906] + vX_[2830] * vX_[236] + vX_[2946] * vX_[331] + vX_[395] * vX_[1012];
+ vX_[2946] = 0 - vX_[2830];
+ vX_[2818] = vX_[3066] + vX_[2818] * vX_[236] + vX_[2900] * vX_[331] * 2. + vX_[395] * vX_[1008] + vX_[717] * vX_[1012];
+ vX_[2900] = 0 - vX_[2818];
+ vX_[2763] = vX_[2760] + vX_[2827] * vX_[236] + vX_[2763] * vX_[331] + vX_[395] * vX_[1009] + vX_[358] * vX_[1012];
+ vX_[2760] = 0 - vX_[2763];
+ vX_[2827] = (vX_[2946] * vX_[278] + vX_[2900] * vX_[338] + vX_[2760] * vX_[347]) * 1 / vX_[313];
+ vX_[2946] = vX_[3415] * vX_[965] + vX_[2969] * vX_[326] + vX_[370] * vX_[314] + vX_[2946] * vX_[341] + vX_[2827];
+ vX_[2814] = vX_[3067] + vX_[3005] * vX_[317] + vX_[2814] * vX_[236] * 2. + vX_[521] * vX_[1009];
+ vX_[3067] = vX_[2814] * vX_[266] + vX_[2763] * vX_[238];
+ vX_[3066] = vX_[2814] * vX_[238] + vX_[2763] * vX_[265];
+ vX_[2870] = vX_[3020] + vX_[2870] * vX_[236] + vX_[2961] * vX_[317] * 2. + vX_[521] * vX_[1008];
+ vX_[2815] = 0 - (0 - (vX_[2680] * vX_[329] + vX_[3121] * vX_[316]) + vX_[3092] * vX_[331] + vX_[2936] * vX_[236] + vX_[2815] * vX_[317] + vX_[521] * vX_[1011]);
+ vX_[2917] = vX_[1043] + vX_[2917] * vX_[316] + vX_[3258] * vX_[235];
+ vX_[3147] = 0 - (vX_[2917] + vX_[3147] * vX_[317] + vX_[2816] * vX_[331] + vX_[386] * vX_[1011]);
+ vX_[2907] = 0 - (vX_[2907] + vX_[2944] * vX_[317] + vX_[3005] * vX_[331] + vX_[386] * vX_[1008] + vX_[717] * vX_[1011]);
+ vX_[2670] = vX_[2824] + vX_[2670] * vX_[317] + vX_[3086] * vX_[331] * 2. + vX_[386] * vX_[1009] + vX_[358] * vX_[1011];
+ vX_[2824] = 0 - vX_[2670];
+ vX_[370] = (vX_[3147] * vX_[287] + vX_[370] * vX_[278] + vX_[2907] * vX_[338] + vX_[2824] * vX_[347]) * 1 / vX_[313];
+ vX_[3147] = 0 - vX_[2870] + vX_[3417] * vX_[965] + vX_[2815] * vX_[326] + vX_[3147] * vX_[314] + vX_[370];
+ vX_[386] = 0 - vX_[2814];
+ vX_[3005] = vX_[3005] + vX_[717] * vX_[1009] + vX_[358] * vX_[1008];
+ vX_[2944] = 0 - vX_[3005];
+ vX_[3086] = vX_[3086] + vX_[358] * vX_[1009];
+ vX_[2816] = 0 - vX_[3086];
+ vX_[3258] = vX_[2816] * vX_[347] * 1 / vX_[313];
+ vX_[2816] = vX_[837] * vX_[965] + vX_[386] * vX_[326] + vX_[2824] * vX_[314] + vX_[2760] * vX_[341] + vX_[2944] * vX_[500] + vX_[2816] * vX_[509] + vX_[3258];
+ vX_[2824] = 0 - vX_[2870];
+ vX_[2961] = vX_[2961] + vX_[717] * vX_[1008];
+ vX_[2760] = 0 - vX_[2961];
+ vX_[2944] = (vX_[2760] * vX_[338] + vX_[2944] * vX_[347]) * 1 / vX_[313];
+ vX_[2760] = vX_[407] * vX_[965] + vX_[2824] * vX_[326] + vX_[2907] * vX_[314] + vX_[2900] * vX_[341] + vX_[2760] * vX_[500] + vX_[2944];
+ vX_[2917] = vX_[1138] + vX_[1145] + vX_[1043] - vX_[2917] - vX_[2906] + vX_[2964] * vX_[317] + vX_[2940] * vX_[236];
+ vX_[2906] = vX_[2917] - vX_[2830];
+ vX_[2940] = vX_[2906] * vX_[266] + vX_[2743] * vX_[238];
+ vX_[2964] = vX_[2906] * vX_[238] + vX_[2743] * vX_[265];
+ vX_[2917] = 0 - vX_[2917];
+ vX_[2824] = (vX_[2917] * vX_[325] + vX_[2815] * vX_[287] + vX_[2969] * vX_[278] + vX_[2824] * vX_[338] + vX_[386] * vX_[347]) * 1 / vX_[313];
+ vX_[2917] = vX_[380] * vX_[965] + vX_[2917] * vX_[326] + vX_[2824];
+ vX_[386] = vX_[2946] * vX_[238] + vX_[2917] * vX_[266];
+ vX_[2815] = vX_[2946] * vX_[265] + vX_[2917] * vX_[238];
+ vX_[2670] = vX_[2818] - vX_[2670];
+ vX_[2824] = 0 - vX_[380] * vX_[983] - vX_[3417] * vX_[951] - vX_[3415] * vX_[1015] - vX_[360] * vX_[974] + vX_[360] * vX_[965] - vX_[407] * vX_[996] - vX_[837] * vX_[989] - vX_[2824] * vX_[326] - vX_[370] * vX_[314] - vX_[2827] * vX_[341] - vX_[2944] * vX_[500] - vX_[3258] * vX_[509];
+ vX_[2944] = 0 - vX_[3086] + vX_[2824];
+ vX_[3258] = vX_[2944] * vX_[266] + vX_[2816] * vX_[238];
+ vX_[370] = vX_[2944] * vX_[238] + vX_[2816] * vX_[265];
+ vX_[2827] = vX_[3258] * vX_[238] + vX_[370] * vX_[266];
+ vX_[837] = vX_[3086] + vX_[3258] * vX_[266];
+ vX_[407] = vX_[3086] + vX_[370] * vX_[238];
+ vX_[2824] = vX_[2961] + vX_[3086] + vX_[2824] - vX_[837] - vX_[407];
+ vX_[2961] = 0 - vX_[2824];
+ vX_[3086] = vX_[2870] * vX_[266] + vX_[2818] * vX_[238];
+ vX_[360] = vX_[3086] + vX_[2961] * vX_[279];
+ vX_[3415] = 0 - vX_[360];
+ vX_[3086] = 0 - (vX_[2670] * vX_[238] + vX_[3147] * vX_[265]) + vX_[3086];
+ vX_[3417] = vX_[2870] * vX_[238] + vX_[2818] * vX_[265];
+ vX_[380] = vX_[3417] + vX_[2824] * vX_[283];
+ vX_[2969] = 0 - vX_[380];
+ vX_[2907] = 0 - (vX_[3005] * vX_[238] + vX_[2760] * vX_[265]) + vX_[3005] * vX_[238] * 2.;
+ vX_[2900] = 0 - vX_[2907];
+ vX_[3121] = vX_[3005] * vX_[266] + vX_[2760] * vX_[238] + vX_[3005] * vX_[265] * 2.;
+ vX_[2680] = 0 - vX_[3121];
+ vX_[2936] = 0 - vX_[407];
+ vX_[3417] = vX_[2670] * vX_[266] + vX_[3147] * vX_[238] + vX_[3417];
+ vX_[3092] = 0 - vX_[2827];
+ vX_[3020] = 0 - vX_[407];
+ jac[379] = 0 - (vX_[395] * vX_[976] + vX_[358] * vX_[1006] + vX_[2743] * vX_[321] + vX_[2946] * vX_[271] + vX_[2818] * vX_[334] + vX_[2763] * vX_[346] + vX_[3067] * vX_[275] + vX_[3066] * vX_[264] + vX_[3147] * vX_[282] + vX_[2816] * vX_[309] + vX_[3005] * vX_[554] + vX_[2760] * vX_[337] + vX_[651] * vX_[957] + vX_[3207] * vX_[950] - (vX_[521] * vX_[962] + vX_[3234] * vX_[846]) + (vX_[717] * vX_[962] + vX_[3234] * vX_[937]) * 0.08 - (vX_[745] * vX_[997] + vX_[2906] * vX_[323] + vX_[2940] * vX_[322] + vX_[2964] * vX_[292] + vX_[2870] * vX_[281] + vX_[2814] * vX_[345] + vX_[2917] * vX_[277] + vX_[386] * vX_[276] + vX_[2815] * vX_[270] + vX_[2670] * vX_[285] + vX_[2944] * vX_[311] + vX_[3005] * vX_[335] + vX_[3258] * vX_[261] + vX_[370] * vX_[308] + (vX_[2827] * vX_[284] + vX_[2961] * vX_[294] + vX_[837] * vX_[280] + vX_[3415] * vX_[290] + (vX_[3086] + vX_[837] * vX_[279]) * 4.027 + vX_[2969] * vX_[292] + vX_[2900] * vX_[276] + vX_[2680] * vX_[275] + vX_[2827] * vX_[259] + vX_[837] * vX_[310]) * 0.08 + vX_[2982] * vX_[840])) * vX_[3252] + (0 - (vX_[395] * vX_[962] + vX_[3234] * vX_[957]) - (vX_[521] * vX_[976] + vX_[651] * vX_[846]) + (vX_[717] * vX_[976] + vX_[2824] * vX_[293] + vX_[2936] * vX_[284] + vX_[360] * vX_[292] + vX_[380] * vX_[291] + (0 - (vX_[3417] + vX_[2827] * vX_[279] + vX_[2936] * vX_[283])) * 4.027 + vX_[2907] * vX_[270] + vX_[3121] * vX_[264] + vX_[3092] * vX_[272] + vX_[3020] * vX_[304] + vX_[651] * vX_[937]) * 0.08 - (vX_[745] * vX_[1006] + vX_[358] * vX_[997] + vX_[2906] * vX_[321] + vX_[2743] * vX_[323] + vX_[2940] * vX_[292] + vX_[2964] * vX_[320] + vX_[2870] * vX_[334] + vX_[2946] * vX_[277] + vX_[2814] * vX_[346] + vX_[2818] * vX_[281] + vX_[2917] * vX_[271] + vX_[2763] * vX_[345] + vX_[386] * vX_[275] + vX_[2815] * vX_[264] + vX_[3067] * vX_[276] + vX_[3066] * vX_[270] + vX_[2670] * vX_[282] + vX_[3147] * vX_[285] + vX_[2944] * vX_[309] + vX_[2816] * vX_[311] + vX_[3005] * vX_[336] + vX_[3005] * vX_[337] + vX_[2760] * vX_[335] + vX_[3258] * vX_[308] + vX_[370] * vX_[305] + vX_[2982] * vX_[950] + vX_[3207] * vX_[840])) * vX_[376];
+ vX_[2522] = vX_[2380] * vX_[316] + vX_[3090] * vX_[235] + vX_[2656] * vX_[331] + vX_[2378] * vX_[317] + vX_[2522] * vX_[236] + vX_[3440] * vX_[1012];
+ vX_[2378] = 0 - vX_[2522];
+ vX_[369] = 0 - (vX_[2372] * vX_[329] + vX_[2786] * vX_[316] + vX_[2823] * vX_[235] + vX_[2621] * vX_[236] + vX_[369] * vX_[317] + vX_[2609] * vX_[331] + vX_[3255] * vX_[1012] + vX_[3487] * vX_[1011]);
+ vX_[2463] = vX_[1144] + vX_[2463] * vX_[329] + vX_[2823] * vX_[316];
+ vX_[2538] = vX_[2463] + vX_[2538] * vX_[236] + vX_[2619] * vX_[331] + vX_[3487] * vX_[1012];
+ vX_[2619] = 0 - vX_[2538];
+ vX_[2385] = vX_[2489] + vX_[2385] * vX_[236] + vX_[2625] * vX_[331] * 2. + vX_[3487] * vX_[1008] + vX_[741] * vX_[1012];
+ vX_[2625] = 0 - vX_[2385];
+ vX_[2384] = vX_[2578] + vX_[2519] * vX_[236] + vX_[2384] * vX_[331] + vX_[3487] * vX_[1009] + vX_[3204] * vX_[1012];
+ vX_[2578] = 0 - vX_[2384];
+ vX_[2519] = (vX_[2619] * vX_[278] + vX_[2625] * vX_[338] + vX_[2578] * vX_[347]) * 1 / vX_[313];
+ vX_[2619] = vX_[3060] * vX_[965] + vX_[2378] * vX_[326] + vX_[369] * vX_[314] + vX_[2619] * vX_[341] + vX_[2519];
+ vX_[2517] = vX_[2524] + vX_[2797] * vX_[317] + vX_[2517] * vX_[236] * 2. + vX_[3440] * vX_[1009];
+ vX_[2524] = vX_[2517] * vX_[266] + vX_[2384] * vX_[238];
+ vX_[2489] = vX_[2517] * vX_[238] + vX_[2384] * vX_[265];
+ vX_[2500] = vX_[2653] + vX_[2500] * vX_[236] + vX_[2765] * vX_[317] * 2. + vX_[3440] * vX_[1008];
+ vX_[2527] = 0 - (0 - (vX_[2380] * vX_[329] + vX_[2891] * vX_[316]) + vX_[2376] * vX_[331] + vX_[2529] * vX_[236] + vX_[2527] * vX_[317] + vX_[3440] * vX_[1011]);
+ vX_[2372] = vX_[1144] + vX_[2372] * vX_[316] + vX_[2829] * vX_[235];
+ vX_[2947] = 0 - (vX_[2372] + vX_[2947] * vX_[317] + vX_[2644] * vX_[331] + vX_[3255] * vX_[1011]);
+ vX_[2523] = 0 - (vX_[2523] + vX_[2608] * vX_[317] + vX_[2797] * vX_[331] + vX_[3255] * vX_[1008] + vX_[741] * vX_[1011]);
+ vX_[2526] = vX_[2599] + vX_[2526] * vX_[317] + vX_[2671] * vX_[331] * 2. + vX_[3255] * vX_[1009] + vX_[3204] * vX_[1011];
+ vX_[2599] = 0 - vX_[2526];
+ vX_[369] = (vX_[2947] * vX_[287] + vX_[369] * vX_[278] + vX_[2523] * vX_[338] + vX_[2599] * vX_[347]) * 1 / vX_[313];
+ vX_[2947] = 0 - vX_[2500] + vX_[3236] * vX_[965] + vX_[2527] * vX_[326] + vX_[2947] * vX_[314] + vX_[369];
+ vX_[3255] = 0 - vX_[2517];
+ vX_[2797] = vX_[2797] + vX_[741] * vX_[1009] + vX_[3204] * vX_[1008];
+ vX_[2608] = 0 - vX_[2797];
+ vX_[2671] = vX_[2671] + vX_[3204] * vX_[1009];
+ vX_[2644] = 0 - vX_[2671];
+ vX_[2829] = vX_[2644] * vX_[347] * 1 / vX_[313];
+ vX_[2644] = vX_[124] * vX_[965] + vX_[3255] * vX_[326] + vX_[2599] * vX_[314] + vX_[2578] * vX_[341] + vX_[2608] * vX_[500] + vX_[2644] * vX_[509] + vX_[2829];
+ vX_[2599] = 0 - vX_[2500];
+ vX_[2765] = vX_[2765] + vX_[741] * vX_[1008];
+ vX_[2578] = 0 - vX_[2765];
+ vX_[2608] = (vX_[2578] * vX_[338] + vX_[2608] * vX_[347]) * 1 / vX_[313];
+ vX_[2578] = vX_[3111] * vX_[965] + vX_[2599] * vX_[326] + vX_[2523] * vX_[314] + vX_[2625] * vX_[341] + vX_[2578] * vX_[500] + vX_[2608];
+ vX_[2372] = vX_[1266] + vX_[1274] + vX_[1144] - vX_[2372] - vX_[2463] + vX_[2536] * vX_[317] + vX_[2383] * vX_[236];
+ vX_[2463] = vX_[2372] - vX_[2538];
+ vX_[2383] = vX_[2463] * vX_[266] + vX_[2522] * vX_[238];
+ vX_[2536] = vX_[2463] * vX_[238] + vX_[2522] * vX_[265];
+ vX_[2372] = 0 - vX_[2372];
+ vX_[2599] = (vX_[2372] * vX_[325] + vX_[2527] * vX_[287] + vX_[2378] * vX_[278] + vX_[2599] * vX_[338] + vX_[3255] * vX_[347]) * 1 / vX_[313];
+ vX_[2372] = vX_[699] * vX_[965] + vX_[2372] * vX_[326] + vX_[2599];
+ vX_[3255] = vX_[2619] * vX_[238] + vX_[2372] * vX_[266];
+ vX_[2527] = vX_[2619] * vX_[265] + vX_[2372] * vX_[238];
+ vX_[2526] = vX_[2385] - vX_[2526];
+ vX_[2599] = 0 - vX_[699] * vX_[983] - vX_[3236] * vX_[951] - vX_[3060] * vX_[1015] - vX_[2942] * vX_[974] + vX_[2942] * vX_[965] - vX_[3111] * vX_[996] - vX_[124] * vX_[989] - vX_[2599] * vX_[326] - vX_[369] * vX_[314] - vX_[2519] * vX_[341] - vX_[2608] * vX_[500] - vX_[2829] * vX_[509];
+ vX_[2608] = 0 - vX_[2671] + vX_[2599];
+ vX_[2829] = vX_[2608] * vX_[266] + vX_[2644] * vX_[238];
+ vX_[369] = vX_[2608] * vX_[238] + vX_[2644] * vX_[265];
+ vX_[2519] = vX_[2829] * vX_[238] + vX_[369] * vX_[266];
+ vX_[124] = vX_[2671] + vX_[2829] * vX_[266];
+ vX_[3111] = vX_[2671] + vX_[369] * vX_[238];
+ vX_[2599] = vX_[2765] + vX_[2671] + vX_[2599] - vX_[124] - vX_[3111];
+ vX_[2765] = 0 - vX_[2599];
+ vX_[2671] = vX_[2500] * vX_[266] + vX_[2385] * vX_[238];
+ vX_[2942] = vX_[2671] + vX_[2765] * vX_[279];
+ vX_[3060] = 0 - vX_[2942];
+ vX_[2671] = 0 - (vX_[2526] * vX_[238] + vX_[2947] * vX_[265]) + vX_[2671];
+ vX_[3236] = vX_[2500] * vX_[238] + vX_[2385] * vX_[265];
+ vX_[699] = vX_[3236] + vX_[2599] * vX_[283];
+ vX_[2378] = 0 - vX_[699];
+ vX_[2523] = 0 - (vX_[2797] * vX_[238] + vX_[2578] * vX_[265]) + vX_[2797] * vX_[238] * 2.;
+ vX_[2625] = 0 - vX_[2523];
+ vX_[2891] = vX_[2797] * vX_[266] + vX_[2578] * vX_[238] + vX_[2797] * vX_[265] * 2.;
+ vX_[2380] = 0 - vX_[2891];
+ vX_[2529] = 0 - vX_[3111];
+ vX_[3236] = vX_[2526] * vX_[266] + vX_[2947] * vX_[238] + vX_[3236];
+ vX_[2376] = 0 - vX_[2519];
+ vX_[2653] = 0 - vX_[3111];
+ jac[380] = 0 - (vX_[3487] * vX_[976] + vX_[3204] * vX_[1006] + vX_[2522] * vX_[321] + vX_[2619] * vX_[271] + vX_[2385] * vX_[334] + vX_[2384] * vX_[346] + vX_[2524] * vX_[275] + vX_[2489] * vX_[264] + vX_[2947] * vX_[282] + vX_[2644] * vX_[309] + vX_[2797] * vX_[554] + vX_[2578] * vX_[337] + vX_[3209] * vX_[957] + vX_[2629] * vX_[950] - (vX_[3440] * vX_[962] + vX_[2528] * vX_[846]) + (vX_[741] * vX_[962] + vX_[2528] * vX_[937]) * 0.08 - (vX_[3208] * vX_[997] + vX_[2463] * vX_[323] + vX_[2383] * vX_[322] + vX_[2536] * vX_[292] + vX_[2500] * vX_[281] + vX_[2517] * vX_[345] + vX_[2372] * vX_[277] + vX_[3255] * vX_[276] + vX_[2527] * vX_[270] + vX_[2526] * vX_[285] + vX_[2608] * vX_[311] + vX_[2797] * vX_[335] + vX_[2829] * vX_[261] + vX_[369] * vX_[308] + (vX_[2519] * vX_[284] + vX_[2765] * vX_[294] + vX_[124] * vX_[280] + vX_[3060] * vX_[290] + (vX_[2671] + vX_[124] * vX_[279]) * 4.027 + vX_[2378] * vX_[292] + vX_[2625] * vX_[276] + vX_[2380] * vX_[275] + vX_[2519] * vX_[259] + vX_[124] * vX_[310]) * 0.08 + vX_[2750] * vX_[840])) * vX_[3252] + (0 - (vX_[3487] * vX_[962] + vX_[2528] * vX_[957]) - (vX_[3440] * vX_[976] + vX_[3209] * vX_[846]) + (vX_[741] * vX_[976] + vX_[2599] * vX_[293] + vX_[2529] * vX_[284] + vX_[2942] * vX_[292] + vX_[699] * vX_[291] + (0 - (vX_[3236] + vX_[2519] * vX_[279] + vX_[2529] * vX_[283])) * 4.027 + vX_[2523] * vX_[270] + vX_[2891] * vX_[264] + vX_[2376] * vX_[272] + vX_[2653] * vX_[304] + vX_[3209] * vX_[937]) * 0.08 - (vX_[3208] * vX_[1006] + vX_[3204] * vX_[997] + vX_[2463] * vX_[321] + vX_[2522] * vX_[323] + vX_[2383] * vX_[292] + vX_[2536] * vX_[320] + vX_[2500] * vX_[334] + vX_[2619] * vX_[277] + vX_[2517] * vX_[346] + vX_[2385] * vX_[281] + vX_[2372] * vX_[271] + vX_[2384] * vX_[345] + vX_[3255] * vX_[275] + vX_[2527] * vX_[264] + vX_[2524] * vX_[276] + vX_[2489] * vX_[270] + vX_[2526] * vX_[282] + vX_[2947] * vX_[285] + vX_[2608] * vX_[309] + vX_[2644] * vX_[311] + vX_[2797] * vX_[336] + vX_[2797] * vX_[337] + vX_[2578] * vX_[335] + vX_[2829] * vX_[308] + vX_[369] * vX_[305] + vX_[2750] * vX_[950] + vX_[2629] * vX_[840])) * vX_[376];
+ vX_[2179] = vX_[2081] * vX_[316] + vX_[2540] * vX_[235] + vX_[2096] * vX_[331] + vX_[2346] * vX_[317] + vX_[2179] * vX_[236] + vX_[3055] * vX_[1012];
+ vX_[2346] = 0 - vX_[2179];
+ vX_[418] = 0 - (vX_[2080] * vX_[329] + vX_[2377] * vX_[316] + vX_[2563] * vX_[235] + vX_[2315] * vX_[236] + vX_[418] * vX_[317] + vX_[2211] * vX_[331] + vX_[2971] * vX_[1012] + vX_[2822] * vX_[1011]);
+ vX_[2171] = vX_[1320] + vX_[2171] * vX_[329] + vX_[2563] * vX_[316];
+ vX_[2344] = vX_[2171] + vX_[2344] * vX_[236] + vX_[2316] * vX_[331] + vX_[2822] * vX_[1012];
+ vX_[2316] = 0 - vX_[2344];
+ vX_[1978] = vX_[2305] + vX_[1978] * vX_[236] + vX_[2176] * vX_[331] * 2. + vX_[2822] * vX_[1008] + vX_[3061] * vX_[1012];
+ vX_[2176] = 0 - vX_[1978];
+ vX_[2099] = vX_[2097] + vX_[2319] * vX_[236] + vX_[2099] * vX_[331] + vX_[2822] * vX_[1009] + vX_[2618] * vX_[1012];
+ vX_[2097] = 0 - vX_[2099];
+ vX_[2319] = (vX_[2316] * vX_[278] + vX_[2176] * vX_[338] + vX_[2097] * vX_[347]) * 1 / vX_[313];
+ vX_[2316] = vX_[2901] * vX_[965] + vX_[2346] * vX_[326] + vX_[418] * vX_[314] + vX_[2316] * vX_[341] + vX_[2319];
+ vX_[2121] = vX_[2340] + vX_[1970] * vX_[317] + vX_[2121] * vX_[236] * 2. + vX_[3055] * vX_[1009];
+ vX_[2340] = vX_[2121] * vX_[266] + vX_[2099] * vX_[238];
+ vX_[2305] = vX_[2121] * vX_[238] + vX_[2099] * vX_[265];
+ vX_[2177] = vX_[2259] + vX_[2177] * vX_[236] + vX_[2184] * vX_[317] * 2. + vX_[3055] * vX_[1008];
+ vX_[1910] = 0 - (0 - (vX_[2081] * vX_[329] + vX_[2624] * vX_[316]) + vX_[2210] * vX_[331] + vX_[1951] * vX_[236] + vX_[1910] * vX_[317] + vX_[3055] * vX_[1011]);
+ vX_[2080] = vX_[1320] + vX_[2080] * vX_[316] + vX_[2648] * vX_[235];
+ vX_[2297] = 0 - (vX_[2080] + vX_[2297] * vX_[317] + vX_[2090] * vX_[331] + vX_[2971] * vX_[1011]);
+ vX_[2095] = 0 - (vX_[2095] + vX_[2321] * vX_[317] + vX_[1970] * vX_[331] + vX_[2971] * vX_[1008] + vX_[3061] * vX_[1011]);
+ vX_[2101] = vX_[2320] + vX_[2101] * vX_[317] + vX_[2309] * vX_[331] * 2. + vX_[2971] * vX_[1009] + vX_[2618] * vX_[1011];
+ vX_[2320] = 0 - vX_[2101];
+ vX_[418] = (vX_[2297] * vX_[287] + vX_[418] * vX_[278] + vX_[2095] * vX_[338] + vX_[2320] * vX_[347]) * 1 / vX_[313];
+ vX_[2297] = 0 - vX_[2177] + vX_[2811] * vX_[965] + vX_[1910] * vX_[326] + vX_[2297] * vX_[314] + vX_[418];
+ vX_[2971] = 0 - vX_[2121];
+ vX_[1970] = vX_[1970] + vX_[3061] * vX_[1009] + vX_[2618] * vX_[1008];
+ vX_[2321] = 0 - vX_[1970];
+ vX_[2309] = vX_[2309] + vX_[2618] * vX_[1009];
+ vX_[2090] = 0 - vX_[2309];
+ vX_[2648] = vX_[2090] * vX_[347] * 1 / vX_[313];
+ vX_[2090] = vX_[3228] * vX_[965] + vX_[2971] * vX_[326] + vX_[2320] * vX_[314] + vX_[2097] * vX_[341] + vX_[2321] * vX_[500] + vX_[2090] * vX_[509] + vX_[2648];
+ vX_[2320] = 0 - vX_[2177];
+ vX_[2184] = vX_[2184] + vX_[3061] * vX_[1008];
+ vX_[2097] = 0 - vX_[2184];
+ vX_[2321] = (vX_[2097] * vX_[338] + vX_[2321] * vX_[347]) * 1 / vX_[313];
+ vX_[2097] = vX_[2530] * vX_[965] + vX_[2320] * vX_[326] + vX_[2095] * vX_[314] + vX_[2176] * vX_[341] + vX_[2097] * vX_[500] + vX_[2321];
+ vX_[2080] = vX_[1395] + vX_[1404] + vX_[1320] - vX_[2080] - vX_[2171] + vX_[2295] * vX_[317] + vX_[2159] * vX_[236];
+ vX_[2171] = vX_[2080] - vX_[2344];
+ vX_[2159] = vX_[2171] * vX_[266] + vX_[2179] * vX_[238];
+ vX_[2295] = vX_[2171] * vX_[238] + vX_[2179] * vX_[265];
+ vX_[2080] = 0 - vX_[2080];
+ vX_[2320] = (vX_[2080] * vX_[325] + vX_[1910] * vX_[287] + vX_[2346] * vX_[278] + vX_[2320] * vX_[338] + vX_[2971] * vX_[347]) * 1 / vX_[313];
+ vX_[2080] = vX_[461] * vX_[965] + vX_[2080] * vX_[326] + vX_[2320];
+ vX_[2971] = vX_[2316] * vX_[238] + vX_[2080] * vX_[266];
+ vX_[1910] = vX_[2316] * vX_[265] + vX_[2080] * vX_[238];
+ vX_[2101] = vX_[1978] - vX_[2101];
+ vX_[2320] = 0 - vX_[461] * vX_[983] - vX_[2811] * vX_[951] - vX_[2901] * vX_[1015] - vX_[2093] * vX_[974] + vX_[2093] * vX_[965] - vX_[2530] * vX_[996] - vX_[3228] * vX_[989] - vX_[2320] * vX_[326] - vX_[418] * vX_[314] - vX_[2319] * vX_[341] - vX_[2321] * vX_[500] - vX_[2648] * vX_[509];
+ vX_[2321] = 0 - vX_[2309] + vX_[2320];
+ vX_[2648] = vX_[2321] * vX_[266] + vX_[2090] * vX_[238];
+ vX_[418] = vX_[2321] * vX_[238] + vX_[2090] * vX_[265];
+ vX_[2319] = vX_[2648] * vX_[238] + vX_[418] * vX_[266];
+ vX_[3228] = vX_[2309] + vX_[2648] * vX_[266];
+ vX_[2530] = vX_[2309] + vX_[418] * vX_[238];
+ vX_[2320] = vX_[2184] + vX_[2309] + vX_[2320] - vX_[3228] - vX_[2530];
+ vX_[2184] = 0 - vX_[2320];
+ vX_[2309] = vX_[2177] * vX_[266] + vX_[1978] * vX_[238];
+ vX_[2093] = vX_[2309] + vX_[2184] * vX_[279];
+ vX_[2901] = 0 - vX_[2093];
+ vX_[2309] = 0 - (vX_[2101] * vX_[238] + vX_[2297] * vX_[265]) + vX_[2309];
+ vX_[2811] = vX_[2177] * vX_[238] + vX_[1978] * vX_[265];
+ vX_[461] = vX_[2811] + vX_[2320] * vX_[283];
+ vX_[2346] = 0 - vX_[461];
+ vX_[2095] = 0 - (vX_[1970] * vX_[238] + vX_[2097] * vX_[265]) + vX_[1970] * vX_[238] * 2.;
+ vX_[2176] = 0 - vX_[2095];
+ vX_[2624] = vX_[1970] * vX_[266] + vX_[2097] * vX_[238] + vX_[1970] * vX_[265] * 2.;
+ vX_[2081] = 0 - vX_[2624];
+ vX_[1951] = 0 - vX_[2530];
+ vX_[2811] = vX_[2101] * vX_[266] + vX_[2297] * vX_[238] + vX_[2811];
+ vX_[2210] = 0 - vX_[2319];
+ vX_[2259] = 0 - vX_[2530];
+ jac[381] = 0 - (vX_[2822] * vX_[976] + vX_[2618] * vX_[1006] + vX_[2179] * vX_[321] + vX_[2316] * vX_[271] + vX_[1978] * vX_[334] + vX_[2099] * vX_[346] + vX_[2340] * vX_[275] + vX_[2305] * vX_[264] + vX_[2297] * vX_[282] + vX_[2090] * vX_[309] + vX_[1970] * vX_[554] + vX_[2097] * vX_[337] + vX_[2535] * vX_[957] + vX_[2232] * vX_[950] - (vX_[3055] * vX_[962] + vX_[2374] * vX_[846]) + (vX_[3061] * vX_[962] + vX_[2374] * vX_[937]) * 0.08 - (vX_[2641] * vX_[997] + vX_[2171] * vX_[323] + vX_[2159] * vX_[322] + vX_[2295] * vX_[292] + vX_[2177] * vX_[281] + vX_[2121] * vX_[345] + vX_[2080] * vX_[277] + vX_[2971] * vX_[276] + vX_[1910] * vX_[270] + vX_[2101] * vX_[285] + vX_[2321] * vX_[311] + vX_[1970] * vX_[335] + vX_[2648] * vX_[261] + vX_[418] * vX_[308] + (vX_[2319] * vX_[284] + vX_[2184] * vX_[294] + vX_[3228] * vX_[280] + vX_[2901] * vX_[290] + (vX_[2309] + vX_[3228] * vX_[279]) * 4.027 + vX_[2346] * vX_[292] + vX_[2176] * vX_[276] + vX_[2081] * vX_[275] + vX_[2319] * vX_[259] + vX_[3228] * vX_[310]) * 0.08 + vX_[2473] * vX_[840])) * vX_[3252] + (0 - (vX_[2822] * vX_[962] + vX_[2374] * vX_[957]) - (vX_[3055] * vX_[976] + vX_[2535] * vX_[846]) + (vX_[3061] * vX_[976] + vX_[2320] * vX_[293] + vX_[1951] * vX_[284] + vX_[2093] * vX_[292] + vX_[461] * vX_[291] + (0 - (vX_[2811] + vX_[2319] * vX_[279] + vX_[1951] * vX_[283])) * 4.027 + vX_[2095] * vX_[270] + vX_[2624] * vX_[264] + vX_[2210] * vX_[272] + vX_[2259] * vX_[304] + vX_[2535] * vX_[937]) * 0.08 - (vX_[2641] * vX_[1006] + vX_[2618] * vX_[997] + vX_[2171] * vX_[321] + vX_[2179] * vX_[323] + vX_[2159] * vX_[292] + vX_[2295] * vX_[320] + vX_[2177] * vX_[334] + vX_[2316] * vX_[277] + vX_[2121] * vX_[346] + vX_[1978] * vX_[281] + vX_[2080] * vX_[271] + vX_[2099] * vX_[345] + vX_[2971] * vX_[275] + vX_[1910] * vX_[264] + vX_[2340] * vX_[276] + vX_[2305] * vX_[270] + vX_[2101] * vX_[282] + vX_[2297] * vX_[285] + vX_[2321] * vX_[309] + vX_[2090] * vX_[311] + vX_[1970] * vX_[336] + vX_[1970] * vX_[337] + vX_[2097] * vX_[335] + vX_[2648] * vX_[308] + vX_[418] * vX_[305] + vX_[2473] * vX_[950] + vX_[2232] * vX_[840])) * vX_[376];
+ vX_[1863] = vX_[783] * vX_[316] + vX_[2304] * vX_[235] + vX_[1859] * vX_[331] + vX_[2034] * vX_[317] + vX_[1863] * vX_[236] + vX_[2756] * vX_[1012];
+ vX_[2034] = 0 - vX_[1863];
+ vX_[3193] = 0 - (vX_[1879] * vX_[329] + vX_[1940] * vX_[316] + vX_[2351] * vX_[235] + vX_[1932] * vX_[236] + vX_[3193] * vX_[317] + vX_[1905] * vX_[331] + vX_[2613] * vX_[1012] + vX_[2792] * vX_[1011]);
+ vX_[1822] = vX_[1491] + vX_[1822] * vX_[329] + vX_[2351] * vX_[316];
+ vX_[2024] = vX_[1822] + vX_[2024] * vX_[236] + vX_[2033] * vX_[331] + vX_[2792] * vX_[1012];
+ vX_[2033] = 0 - vX_[2024];
+ vX_[1756] = vX_[2054] + vX_[1756] * vX_[236] + vX_[1786] * vX_[331] * 2. + vX_[2792] * vX_[1008] + vX_[2762] * vX_[1012];
+ vX_[1786] = 0 - vX_[1756];
+ vX_[1842] = vX_[1916] + vX_[1937] * vX_[236] + vX_[1842] * vX_[331] + vX_[2792] * vX_[1009] + vX_[2426] * vX_[1012];
+ vX_[1916] = 0 - vX_[1842];
+ vX_[1937] = (vX_[2033] * vX_[278] + vX_[1786] * vX_[338] + vX_[1916] * vX_[347]) * 1 / vX_[313];
+ vX_[2033] = vX_[2516] * vX_[965] + vX_[2034] * vX_[326] + vX_[3193] * vX_[314] + vX_[2033] * vX_[341] + vX_[1937];
+ vX_[1867] = vX_[1930] + vX_[1799] * vX_[317] + vX_[1867] * vX_[236] * 2. + vX_[2756] * vX_[1009];
+ vX_[1930] = vX_[1867] * vX_[266] + vX_[1842] * vX_[238];
+ vX_[2054] = vX_[1867] * vX_[238] + vX_[1842] * vX_[265];
+ vX_[1860] = vX_[1931] + vX_[1860] * vX_[236] + vX_[1837] * vX_[317] * 2. + vX_[2756] * vX_[1008];
+ vX_[1716] = 0 - (0 - (vX_[783] * vX_[329] + vX_[2048] * vX_[316]) + vX_[1936] * vX_[331] + vX_[1733] * vX_[236] + vX_[1716] * vX_[317] + vX_[2756] * vX_[1011]);
+ vX_[1879] = vX_[1491] + vX_[1879] * vX_[316] + vX_[2100] * vX_[235];
+ vX_[2136] = 0 - (vX_[1879] + vX_[2136] * vX_[317] + vX_[1882] * vX_[331] + vX_[2613] * vX_[1011]);
+ vX_[1795] = 0 - (vX_[1795] + vX_[2030] * vX_[317] + vX_[1799] * vX_[331] + vX_[2613] * vX_[1008] + vX_[2762] * vX_[1011]);
+ vX_[1914] = vX_[1939] + vX_[1914] * vX_[317] + vX_[1973] * vX_[331] * 2. + vX_[2613] * vX_[1009] + vX_[2426] * vX_[1011];
+ vX_[1939] = 0 - vX_[1914];
+ vX_[3193] = (vX_[2136] * vX_[287] + vX_[3193] * vX_[278] + vX_[1795] * vX_[338] + vX_[1939] * vX_[347]) * 1 / vX_[313];
+ vX_[2136] = 0 - vX_[1860] + vX_[2623] * vX_[965] + vX_[1716] * vX_[326] + vX_[2136] * vX_[314] + vX_[3193];
+ vX_[2613] = 0 - vX_[1867];
+ vX_[1799] = vX_[1799] + vX_[2762] * vX_[1009] + vX_[2426] * vX_[1008];
+ vX_[2030] = 0 - vX_[1799];
+ vX_[1973] = vX_[1973] + vX_[2426] * vX_[1009];
+ vX_[1882] = 0 - vX_[1973];
+ vX_[2100] = vX_[1882] * vX_[347] * 1 / vX_[313];
+ vX_[1882] = vX_[2821] * vX_[965] + vX_[2613] * vX_[326] + vX_[1939] * vX_[314] + vX_[1916] * vX_[341] + vX_[2030] * vX_[500] + vX_[1882] * vX_[509] + vX_[2100];
+ vX_[1939] = 0 - vX_[1860];
+ vX_[1837] = vX_[1837] + vX_[2762] * vX_[1008];
+ vX_[1916] = 0 - vX_[1837];
+ vX_[2030] = (vX_[1916] * vX_[338] + vX_[2030] * vX_[347]) * 1 / vX_[313];
+ vX_[1916] = vX_[2498] * vX_[965] + vX_[1939] * vX_[326] + vX_[1795] * vX_[314] + vX_[1786] * vX_[341] + vX_[1916] * vX_[500] + vX_[2030];
+ vX_[1879] = vX_[1525] + vX_[1535] + vX_[1491] - vX_[1879] - vX_[1822] + vX_[2023] * vX_[317] + vX_[1611] * vX_[236];
+ vX_[1822] = vX_[1879] - vX_[2024];
+ vX_[1611] = vX_[1822] * vX_[266] + vX_[1863] * vX_[238];
+ vX_[2023] = vX_[1822] * vX_[238] + vX_[1863] * vX_[265];
+ vX_[1879] = 0 - vX_[1879];
+ vX_[1939] = (vX_[1879] * vX_[325] + vX_[1716] * vX_[287] + vX_[2034] * vX_[278] + vX_[1939] * vX_[338] + vX_[2613] * vX_[347]) * 1 / vX_[313];
+ vX_[1879] = vX_[3050] * vX_[965] + vX_[1879] * vX_[326] + vX_[1939];
+ vX_[2613] = vX_[2033] * vX_[238] + vX_[1879] * vX_[266];
+ vX_[1716] = vX_[2033] * vX_[265] + vX_[1879] * vX_[238];
+ vX_[1914] = vX_[1756] - vX_[1914];
+ vX_[1939] = 0 - vX_[3050] * vX_[983] - vX_[2623] * vX_[951] - vX_[2516] * vX_[1015] - vX_[2010] * vX_[974] + vX_[2010] * vX_[965] - vX_[2498] * vX_[996] - vX_[2821] * vX_[989] - vX_[1939] * vX_[326] - vX_[3193] * vX_[314] - vX_[1937] * vX_[341] - vX_[2030] * vX_[500] - vX_[2100] * vX_[509];
+ vX_[2030] = 0 - vX_[1973] + vX_[1939];
+ vX_[2100] = vX_[2030] * vX_[266] + vX_[1882] * vX_[238];
+ vX_[3193] = vX_[2030] * vX_[238] + vX_[1882] * vX_[265];
+ vX_[1937] = vX_[2100] * vX_[238] + vX_[3193] * vX_[266];
+ vX_[2821] = vX_[1973] + vX_[2100] * vX_[266];
+ vX_[2498] = vX_[1973] + vX_[3193] * vX_[238];
+ vX_[1939] = vX_[1837] + vX_[1973] + vX_[1939] - vX_[2821] - vX_[2498];
+ vX_[1837] = 0 - vX_[1939];
+ vX_[1973] = vX_[1860] * vX_[266] + vX_[1756] * vX_[238];
+ vX_[2010] = vX_[1973] + vX_[1837] * vX_[279];
+ vX_[2516] = 0 - vX_[2010];
+ vX_[1973] = 0 - (vX_[1914] * vX_[238] + vX_[2136] * vX_[265]) + vX_[1973];
+ vX_[2623] = vX_[1860] * vX_[238] + vX_[1756] * vX_[265];
+ vX_[3050] = vX_[2623] + vX_[1939] * vX_[283];
+ vX_[2034] = 0 - vX_[3050];
+ vX_[1795] = 0 - (vX_[1799] * vX_[238] + vX_[1916] * vX_[265]) + vX_[1799] * vX_[238] * 2.;
+ vX_[1786] = 0 - vX_[1795];
+ vX_[2048] = vX_[1799] * vX_[266] + vX_[1916] * vX_[238] + vX_[1799] * vX_[265] * 2.;
+ vX_[783] = 0 - vX_[2048];
+ vX_[1733] = 0 - vX_[2498];
+ vX_[2623] = vX_[1914] * vX_[266] + vX_[2136] * vX_[238] + vX_[2623];
+ vX_[1936] = 0 - vX_[1937];
+ vX_[1931] = 0 - vX_[2498];
+ jac[382] = 0 - (vX_[2792] * vX_[976] + vX_[2426] * vX_[1006] + vX_[1863] * vX_[321] + vX_[2033] * vX_[271] + vX_[1756] * vX_[334] + vX_[1842] * vX_[346] + vX_[1930] * vX_[275] + vX_[2054] * vX_[264] + vX_[2136] * vX_[282] + vX_[1882] * vX_[309] + vX_[1799] * vX_[554] + vX_[1916] * vX_[337] + vX_[2492] * vX_[957] + vX_[2032] * vX_[950] - (vX_[2756] * vX_[962] + vX_[1941] * vX_[846]) + (vX_[2762] * vX_[962] + vX_[1941] * vX_[937]) * 0.08 - (vX_[2457] * vX_[997] + vX_[1822] * vX_[323] + vX_[1611] * vX_[322] + vX_[2023] * vX_[292] + vX_[1860] * vX_[281] + vX_[1867] * vX_[345] + vX_[1879] * vX_[277] + vX_[2613] * vX_[276] + vX_[1716] * vX_[270] + vX_[1914] * vX_[285] + vX_[2030] * vX_[311] + vX_[1799] * vX_[335] + vX_[2100] * vX_[261] + vX_[3193] * vX_[308] + (vX_[1937] * vX_[284] + vX_[1837] * vX_[294] + vX_[2821] * vX_[280] + vX_[2516] * vX_[290] + (vX_[1973] + vX_[2821] * vX_[279]) * 4.027 + vX_[2034] * vX_[292] + vX_[1786] * vX_[276] + vX_[783] * vX_[275] + vX_[1937] * vX_[259] + vX_[2821] * vX_[310]) * 0.08 + vX_[2086] * vX_[840])) * vX_[3252] + (0 - (vX_[2792] * vX_[962] + vX_[1941] * vX_[957]) - (vX_[2756] * vX_[976] + vX_[2492] * vX_[846]) + (vX_[2762] * vX_[976] + vX_[1939] * vX_[293] + vX_[1733] * vX_[284] + vX_[2010] * vX_[292] + vX_[3050] * vX_[291] + (0 - (vX_[2623] + vX_[1937] * vX_[279] + vX_[1733] * vX_[283])) * 4.027 + vX_[1795] * vX_[270] + vX_[2048] * vX_[264] + vX_[1936] * vX_[272] + vX_[1931] * vX_[304] + vX_[2492] * vX_[937]) * 0.08 - (vX_[2457] * vX_[1006] + vX_[2426] * vX_[997] + vX_[1822] * vX_[321] + vX_[1863] * vX_[323] + vX_[1611] * vX_[292] + vX_[2023] * vX_[320] + vX_[1860] * vX_[334] + vX_[2033] * vX_[277] + vX_[1867] * vX_[346] + vX_[1756] * vX_[281] + vX_[1879] * vX_[271] + vX_[1842] * vX_[345] + vX_[2613] * vX_[275] + vX_[1716] * vX_[264] + vX_[1930] * vX_[276] + vX_[2054] * vX_[270] + vX_[1914] * vX_[282] + vX_[2136] * vX_[285] + vX_[2030] * vX_[309] + vX_[1882] * vX_[311] + vX_[1799] * vX_[336] + vX_[1799] * vX_[337] + vX_[1916] * vX_[335] + vX_[2100] * vX_[308] + vX_[3193] * vX_[305] + vX_[2086] * vX_[950] + vX_[2032] * vX_[840])) * vX_[376];
+ vX_[1592] = vX_[1634] * vX_[316] + vX_[1817] * vX_[235] + vX_[1729] * vX_[331] + vX_[1560] * vX_[317] + vX_[1592] * vX_[236] + vX_[2311] * vX_[1012];
+ vX_[1560] = 0 - vX_[1592];
+ vX_[2677] = 0 - (vX_[1604] * vX_[329] + vX_[1602] * vX_[316] + vX_[1789] * vX_[235] + vX_[1724] * vX_[236] + vX_[2677] * vX_[317] + vX_[1597] * vX_[331] + vX_[2310] * vX_[1012] + vX_[2088] * vX_[1011]);
+ vX_[1639] = vX_[1622] + vX_[1639] * vX_[329] + vX_[1789] * vX_[316];
+ vX_[1765] = vX_[1639] + vX_[1765] * vX_[236] + vX_[1549] * vX_[331] + vX_[2088] * vX_[1012];
+ vX_[1549] = 0 - vX_[1765];
+ vX_[1593] = vX_[1641] + vX_[1593] * vX_[236] + vX_[1603] * vX_[331] * 2. + vX_[2088] * vX_[1008] + vX_[2199] * vX_[1012];
+ vX_[1603] = 0 - vX_[1593];
+ vX_[1112] = vX_[1456] + vX_[1599] * vX_[236] + vX_[1112] * vX_[331] + vX_[2088] * vX_[1009] + vX_[2087] * vX_[1012];
+ vX_[1456] = 0 - vX_[1112];
+ vX_[1599] = (vX_[1549] * vX_[278] + vX_[1603] * vX_[338] + vX_[1456] * vX_[347]) * 1 / vX_[313];
+ vX_[1549] = vX_[2157] * vX_[965] + vX_[1560] * vX_[326] + vX_[2677] * vX_[314] + vX_[1549] * vX_[341] + vX_[1599];
+ vX_[1609] = vX_[1735] + vX_[1763] * vX_[317] + vX_[1609] * vX_[236] * 2. + vX_[2311] * vX_[1009];
+ vX_[1735] = vX_[1609] * vX_[266] + vX_[1112] * vX_[238];
+ vX_[1641] = vX_[1609] * vX_[238] + vX_[1112] * vX_[265];
+ vX_[1453] = vX_[1584] + vX_[1453] * vX_[236] + vX_[1610] * vX_[317] * 2. + vX_[2311] * vX_[1008];
+ vX_[1449] = 0 - (0 - (vX_[1634] * vX_[329] + vX_[789] * vX_[316]) + vX_[1739] * vX_[331] + vX_[1558] * vX_[236] + vX_[1449] * vX_[317] + vX_[2311] * vX_[1011]);
+ vX_[1604] = vX_[1622] + vX_[1604] * vX_[316] + vX_[1792] * vX_[235];
+ vX_[1767] = 0 - (vX_[1604] + vX_[1767] * vX_[317] + vX_[1471] * vX_[331] + vX_[2310] * vX_[1011]);
+ vX_[1454] = 0 - (vX_[1454] + vX_[1548] * vX_[317] + vX_[1763] * vX_[331] + vX_[2310] * vX_[1008] + vX_[2199] * vX_[1011]);
+ vX_[1494] = vX_[1247] + vX_[1494] * vX_[317] + vX_[1689] * vX_[331] * 2. + vX_[2310] * vX_[1009] + vX_[2087] * vX_[1011];
+ vX_[1247] = 0 - vX_[1494];
+ vX_[2677] = (vX_[1767] * vX_[287] + vX_[2677] * vX_[278] + vX_[1454] * vX_[338] + vX_[1247] * vX_[347]) * 1 / vX_[313];
+ vX_[1767] = 0 - vX_[1453] + vX_[1605] * vX_[965] + vX_[1449] * vX_[326] + vX_[1767] * vX_[314] + vX_[2677];
+ vX_[2310] = 0 - vX_[1609];
+ vX_[1763] = vX_[1763] + vX_[2199] * vX_[1009] + vX_[2087] * vX_[1008];
+ vX_[1548] = 0 - vX_[1763];
+ vX_[1689] = vX_[1689] + vX_[2087] * vX_[1009];
+ vX_[1471] = 0 - vX_[1689];
+ vX_[1792] = vX_[1471] * vX_[347] * 1 / vX_[313];
+ vX_[1471] = vX_[2461] * vX_[965] + vX_[2310] * vX_[326] + vX_[1247] * vX_[314] + vX_[1456] * vX_[341] + vX_[1548] * vX_[500] + vX_[1471] * vX_[509] + vX_[1792];
+ vX_[1247] = 0 - vX_[1453];
+ vX_[1610] = vX_[1610] + vX_[2199] * vX_[1008];
+ vX_[1456] = 0 - vX_[1610];
+ vX_[1548] = (vX_[1456] * vX_[338] + vX_[1548] * vX_[347]) * 1 / vX_[313];
+ vX_[1456] = vX_[2062] * vX_[965] + vX_[1247] * vX_[326] + vX_[1454] * vX_[314] + vX_[1603] * vX_[341] + vX_[1456] * vX_[500] + vX_[1548];
+ vX_[1604] = vX_[1656] + vX_[1666] + vX_[1622] - vX_[1604] - vX_[1639] + vX_[1740] * vX_[317] + vX_[1514] * vX_[236];
+ vX_[1639] = vX_[1604] - vX_[1765];
+ vX_[1514] = vX_[1639] * vX_[266] + vX_[1592] * vX_[238];
+ vX_[1740] = vX_[1639] * vX_[238] + vX_[1592] * vX_[265];
+ vX_[1604] = 0 - vX_[1604];
+ vX_[1247] = (vX_[1604] * vX_[325] + vX_[1449] * vX_[287] + vX_[1560] * vX_[278] + vX_[1247] * vX_[338] + vX_[2310] * vX_[347]) * 1 / vX_[313];
+ vX_[1604] = vX_[2767] * vX_[965] + vX_[1604] * vX_[326] + vX_[1247];
+ vX_[2310] = vX_[1549] * vX_[238] + vX_[1604] * vX_[266];
+ vX_[1449] = vX_[1549] * vX_[265] + vX_[1604] * vX_[238];
+ vX_[1494] = vX_[1593] - vX_[1494];
+ vX_[1247] = 0 - vX_[2767] * vX_[983] - vX_[1605] * vX_[951] - vX_[2157] * vX_[1015] - vX_[1858] * vX_[974] + vX_[1858] * vX_[965] - vX_[2062] * vX_[996] - vX_[2461] * vX_[989] - vX_[1247] * vX_[326] - vX_[2677] * vX_[314] - vX_[1599] * vX_[341] - vX_[1548] * vX_[500] - vX_[1792] * vX_[509];
+ vX_[1548] = 0 - vX_[1689] + vX_[1247];
+ vX_[1792] = vX_[1548] * vX_[266] + vX_[1471] * vX_[238];
+ vX_[2677] = vX_[1548] * vX_[238] + vX_[1471] * vX_[265];
+ vX_[1599] = vX_[1792] * vX_[238] + vX_[2677] * vX_[266];
+ vX_[2461] = vX_[1689] + vX_[1792] * vX_[266];
+ vX_[2062] = vX_[1689] + vX_[2677] * vX_[238];
+ vX_[1247] = vX_[1610] + vX_[1689] + vX_[1247] - vX_[2461] - vX_[2062];
+ vX_[1610] = 0 - vX_[1247];
+ vX_[1689] = vX_[1453] * vX_[266] + vX_[1593] * vX_[238];
+ vX_[1858] = vX_[1689] + vX_[1610] * vX_[279];
+ vX_[2157] = 0 - vX_[1858];
+ vX_[1689] = 0 - (vX_[1494] * vX_[238] + vX_[1767] * vX_[265]) + vX_[1689];
+ vX_[1605] = vX_[1453] * vX_[238] + vX_[1593] * vX_[265];
+ vX_[2767] = vX_[1605] + vX_[1247] * vX_[283];
+ vX_[1560] = 0 - vX_[2767];
+ vX_[1454] = 0 - (vX_[1763] * vX_[238] + vX_[1456] * vX_[265]) + vX_[1763] * vX_[238] * 2.;
+ vX_[1603] = 0 - vX_[1454];
+ vX_[789] = vX_[1763] * vX_[266] + vX_[1456] * vX_[238] + vX_[1763] * vX_[265] * 2.;
+ vX_[1634] = 0 - vX_[789];
+ vX_[1558] = 0 - vX_[2062];
+ vX_[1605] = vX_[1494] * vX_[266] + vX_[1767] * vX_[238] + vX_[1605];
+ vX_[1739] = 0 - vX_[1599];
+ vX_[1584] = 0 - vX_[2062];
+ jac[383] = 0 - (vX_[2088] * vX_[976] + vX_[2087] * vX_[1006] + vX_[1592] * vX_[321] + vX_[1549] * vX_[271] + vX_[1593] * vX_[334] + vX_[1112] * vX_[346] + vX_[1735] * vX_[275] + vX_[1641] * vX_[264] + vX_[1767] * vX_[282] + vX_[1471] * vX_[309] + vX_[1763] * vX_[554] + vX_[1456] * vX_[337] + vX_[2182] * vX_[957] + vX_[1785] * vX_[950] - (vX_[2311] * vX_[962] + vX_[1884] * vX_[846]) + (vX_[2199] * vX_[962] + vX_[1884] * vX_[937]) * 0.08 - (vX_[1944] * vX_[997] + vX_[1639] * vX_[323] + vX_[1514] * vX_[322] + vX_[1740] * vX_[292] + vX_[1453] * vX_[281] + vX_[1609] * vX_[345] + vX_[1604] * vX_[277] + vX_[2310] * vX_[276] + vX_[1449] * vX_[270] + vX_[1494] * vX_[285] + vX_[1548] * vX_[311] + vX_[1763] * vX_[335] + vX_[1792] * vX_[261] + vX_[2677] * vX_[308] + (vX_[1599] * vX_[284] + vX_[1610] * vX_[294] + vX_[2461] * vX_[280] + vX_[2157] * vX_[290] + (vX_[1689] + vX_[2461] * vX_[279]) * 4.027 + vX_[1560] * vX_[292] + vX_[1603] * vX_[276] + vX_[1634] * vX_[275] + vX_[1599] * vX_[259] + vX_[2461] * vX_[310]) * 0.08 + vX_[1606] * vX_[840])) * vX_[3252] + (0 - (vX_[2088] * vX_[962] + vX_[1884] * vX_[957]) - (vX_[2311] * vX_[976] + vX_[2182] * vX_[846]) + (vX_[2199] * vX_[976] + vX_[1247] * vX_[293] + vX_[1558] * vX_[284] + vX_[1858] * vX_[292] + vX_[2767] * vX_[291] + (0 - (vX_[1605] + vX_[1599] * vX_[279] + vX_[1558] * vX_[283])) * 4.027 + vX_[1454] * vX_[270] + vX_[789] * vX_[264] + vX_[1739] * vX_[272] + vX_[1584] * vX_[304] + vX_[2182] * vX_[937]) * 0.08 - (vX_[1944] * vX_[1006] + vX_[2087] * vX_[997] + vX_[1639] * vX_[321] + vX_[1592] * vX_[323] + vX_[1514] * vX_[292] + vX_[1740] * vX_[320] + vX_[1453] * vX_[334] + vX_[1549] * vX_[277] + vX_[1609] * vX_[346] + vX_[1593] * vX_[281] + vX_[1604] * vX_[271] + vX_[1112] * vX_[345] + vX_[2310] * vX_[275] + vX_[1449] * vX_[264] + vX_[1735] * vX_[276] + vX_[1641] * vX_[270] + vX_[1494] * vX_[282] + vX_[1767] * vX_[285] + vX_[1548] * vX_[309] + vX_[1471] * vX_[311] + vX_[1763] * vX_[336] + vX_[1763] * vX_[337] + vX_[1456] * vX_[335] + vX_[1792] * vX_[308] + vX_[2677] * vX_[305] + vX_[1606] * vX_[950] + vX_[1785] * vX_[840])) * vX_[376];
+ vX_[1347] = vX_[769] * vX_[316] + vX_[1645] * vX_[235] + vX_[1337] * vX_[331] + vX_[1321] * vX_[317] + vX_[1347] * vX_[236] + vX_[1904] * vX_[1012];
+ vX_[1321] = 0 - vX_[1347];
+ vX_[2367] = 0 - (vX_[1076] * vX_[329] + vX_[1427] * vX_[316] + vX_[1446] * vX_[235] + vX_[1298] * vX_[236] + vX_[2367] * vX_[317] + vX_[1336] * vX_[331] + vX_[2065] * vX_[1012] + vX_[1901] * vX_[1011]);
+ vX_[1059] = vX_[1591] + vX_[1059] * vX_[329] + vX_[1446] * vX_[316];
+ vX_[792] = vX_[1059] + vX_[792] * vX_[236] + vX_[1187] * vX_[331] + vX_[1901] * vX_[1012];
+ vX_[1187] = 0 - vX_[792];
+ vX_[1157] = vX_[1335] + vX_[1157] * vX_[236] + vX_[1342] * vX_[331] * 2. + vX_[1901] * vX_[1008] + vX_[2011] * vX_[1012];
+ vX_[1342] = 0 - vX_[1157];
+ vX_[1372] = vX_[1174] + vX_[1252] * vX_[236] + vX_[1372] * vX_[331] + vX_[1901] * vX_[1009] + vX_[1883] * vX_[1012];
+ vX_[1174] = 0 - vX_[1372];
+ vX_[1252] = (vX_[1187] * vX_[278] + vX_[1342] * vX_[338] + vX_[1174] * vX_[347]) * 1 / vX_[313];
+ vX_[1187] = vX_[1870] * vX_[965] + vX_[1321] * vX_[326] + vX_[2367] * vX_[314] + vX_[1187] * vX_[341] + vX_[1252];
+ vX_[794] = vX_[1209] + vX_[1196] * vX_[317] + vX_[794] * vX_[236] * 2. + vX_[1904] * vX_[1009];
+ vX_[1209] = vX_[794] * vX_[266] + vX_[1372] * vX_[238];
+ vX_[1335] = vX_[794] * vX_[238] + vX_[1372] * vX_[265];
+ vX_[1058] = vX_[1287] + vX_[1058] * vX_[236] + vX_[1349] * vX_[317] * 2. + vX_[1904] * vX_[1008];
+ vX_[786] = 0 - (0 - (vX_[769] * vX_[329] + vX_[1628] * vX_[316]) + vX_[1232] * vX_[331] + vX_[1060] * vX_[236] + vX_[786] * vX_[317] + vX_[1904] * vX_[1011]);
+ vX_[1076] = vX_[1591] + vX_[1076] * vX_[316] + vX_[1379] * vX_[235];
+ vX_[1428] = 0 - (vX_[1076] + vX_[1428] * vX_[317] + vX_[1296] * vX_[331] + vX_[2065] * vX_[1011]);
+ vX_[1249] = 0 - (vX_[1249] + vX_[1341] * vX_[317] + vX_[1196] * vX_[331] + vX_[2065] * vX_[1008] + vX_[2011] * vX_[1011]);
+ vX_[1331] = vX_[1366] + vX_[1331] * vX_[317] + vX_[1286] * vX_[331] * 2. + vX_[2065] * vX_[1009] + vX_[1883] * vX_[1011];
+ vX_[1366] = 0 - vX_[1331];
+ vX_[2367] = (vX_[1428] * vX_[287] + vX_[2367] * vX_[278] + vX_[1249] * vX_[338] + vX_[1366] * vX_[347]) * 1 / vX_[313];
+ vX_[1428] = 0 - vX_[1058] + vX_[1874] * vX_[965] + vX_[786] * vX_[326] + vX_[1428] * vX_[314] + vX_[2367];
+ vX_[2065] = 0 - vX_[794];
+ vX_[1196] = vX_[1196] + vX_[2011] * vX_[1009] + vX_[1883] * vX_[1008];
+ vX_[1341] = 0 - vX_[1196];
+ vX_[1286] = vX_[1286] + vX_[1883] * vX_[1009];
+ vX_[1296] = 0 - vX_[1286];
+ vX_[1379] = vX_[1296] * vX_[347] * 1 / vX_[313];
+ vX_[1296] = vX_[2012] * vX_[965] + vX_[2065] * vX_[326] + vX_[1366] * vX_[314] + vX_[1174] * vX_[341] + vX_[1341] * vX_[500] + vX_[1296] * vX_[509] + vX_[1379];
+ vX_[1366] = 0 - vX_[1058];
+ vX_[1349] = vX_[1349] + vX_[2011] * vX_[1008];
+ vX_[1174] = 0 - vX_[1349];
+ vX_[1341] = (vX_[1174] * vX_[338] + vX_[1341] * vX_[347]) * 1 / vX_[313];
+ vX_[1174] = vX_[1737] * vX_[965] + vX_[1366] * vX_[326] + vX_[1249] * vX_[314] + vX_[1342] * vX_[341] + vX_[1174] * vX_[500] + vX_[1341];
+ vX_[1076] = vX_[1811] + vX_[1818] + vX_[1591] - vX_[1076] - vX_[1059] + vX_[1220] * vX_[317] + vX_[1156] * vX_[236];
+ vX_[1059] = vX_[1076] - vX_[792];
+ vX_[1156] = vX_[1059] * vX_[266] + vX_[1347] * vX_[238];
+ vX_[1220] = vX_[1059] * vX_[238] + vX_[1347] * vX_[265];
+ vX_[1076] = 0 - vX_[1076];
+ vX_[1366] = (vX_[1076] * vX_[325] + vX_[786] * vX_[287] + vX_[1321] * vX_[278] + vX_[1366] * vX_[338] + vX_[2065] * vX_[347]) * 1 / vX_[313];
+ vX_[1076] = vX_[2089] * vX_[965] + vX_[1076] * vX_[326] + vX_[1366];
+ vX_[2065] = vX_[1187] * vX_[238] + vX_[1076] * vX_[266];
+ vX_[786] = vX_[1187] * vX_[265] + vX_[1076] * vX_[238];
+ vX_[1331] = vX_[1157] - vX_[1331];
+ vX_[1366] = 0 - vX_[2089] * vX_[983] - vX_[1874] * vX_[951] - vX_[1870] * vX_[1015] - vX_[1608] * vX_[974] + vX_[1608] * vX_[965] - vX_[1737] * vX_[996] - vX_[2012] * vX_[989] - vX_[1366] * vX_[326] - vX_[2367] * vX_[314] - vX_[1252] * vX_[341] - vX_[1341] * vX_[500] - vX_[1379] * vX_[509];
+ vX_[1341] = 0 - vX_[1286] + vX_[1366];
+ vX_[1379] = vX_[1341] * vX_[266] + vX_[1296] * vX_[238];
+ vX_[2367] = vX_[1341] * vX_[238] + vX_[1296] * vX_[265];
+ vX_[1252] = vX_[1379] * vX_[238] + vX_[2367] * vX_[266];
+ vX_[2012] = vX_[1286] + vX_[1379] * vX_[266];
+ vX_[1737] = vX_[1286] + vX_[2367] * vX_[238];
+ vX_[1366] = vX_[1349] + vX_[1286] + vX_[1366] - vX_[2012] - vX_[1737];
+ vX_[1349] = 0 - vX_[1366];
+ vX_[1286] = vX_[1058] * vX_[266] + vX_[1157] * vX_[238];
+ vX_[1608] = vX_[1286] + vX_[1349] * vX_[279];
+ vX_[1870] = 0 - vX_[1608];
+ vX_[1286] = 0 - (vX_[1331] * vX_[238] + vX_[1428] * vX_[265]) + vX_[1286];
+ vX_[1874] = vX_[1058] * vX_[238] + vX_[1157] * vX_[265];
+ vX_[2089] = vX_[1874] + vX_[1366] * vX_[283];
+ vX_[1321] = 0 - vX_[2089];
+ vX_[1249] = 0 - (vX_[1196] * vX_[238] + vX_[1174] * vX_[265]) + vX_[1196] * vX_[238] * 2.;
+ vX_[1342] = 0 - vX_[1249];
+ vX_[1628] = vX_[1196] * vX_[266] + vX_[1174] * vX_[238] + vX_[1196] * vX_[265] * 2.;
+ vX_[769] = 0 - vX_[1628];
+ vX_[1060] = 0 - vX_[1737];
+ vX_[1874] = vX_[1331] * vX_[266] + vX_[1428] * vX_[238] + vX_[1874];
+ vX_[1232] = 0 - vX_[1252];
+ vX_[1287] = 0 - vX_[1737];
+ jac[384] = 0 - (vX_[1901] * vX_[976] + vX_[1883] * vX_[1006] + vX_[1347] * vX_[321] + vX_[1187] * vX_[271] + vX_[1157] * vX_[334] + vX_[1372] * vX_[346] + vX_[1209] * vX_[275] + vX_[1335] * vX_[264] + vX_[1428] * vX_[282] + vX_[1296] * vX_[309] + vX_[1196] * vX_[554] + vX_[1174] * vX_[337] + vX_[1880] * vX_[957] + vX_[1127] * vX_[950] - (vX_[1904] * vX_[962] + vX_[1363] * vX_[846]) + (vX_[2011] * vX_[962] + vX_[1363] * vX_[937]) * 0.08 - (vX_[1787] * vX_[997] + vX_[1059] * vX_[323] + vX_[1156] * vX_[322] + vX_[1220] * vX_[292] + vX_[1058] * vX_[281] + vX_[794] * vX_[345] + vX_[1076] * vX_[277] + vX_[2065] * vX_[276] + vX_[786] * vX_[270] + vX_[1331] * vX_[285] + vX_[1341] * vX_[311] + vX_[1196] * vX_[335] + vX_[1379] * vX_[261] + vX_[2367] * vX_[308] + (vX_[1252] * vX_[284] + vX_[1349] * vX_[294] + vX_[2012] * vX_[280] + vX_[1870] * vX_[290] + (vX_[1286] + vX_[2012] * vX_[279]) * 4.027 + vX_[1321] * vX_[292] + vX_[1342] * vX_[276] + vX_[769] * vX_[275] + vX_[1252] * vX_[259] + vX_[2012] * vX_[310]) * 0.08 + vX_[1472] * vX_[840])) * vX_[3252] + (0 - (vX_[1901] * vX_[962] + vX_[1363] * vX_[957]) - (vX_[1904] * vX_[976] + vX_[1880] * vX_[846]) + (vX_[2011] * vX_[976] + vX_[1366] * vX_[293] + vX_[1060] * vX_[284] + vX_[1608] * vX_[292] + vX_[2089] * vX_[291] + (0 - (vX_[1874] + vX_[1252] * vX_[279] + vX_[1060] * vX_[283])) * 4.027 + vX_[1249] * vX_[270] + vX_[1628] * vX_[264] + vX_[1232] * vX_[272] + vX_[1287] * vX_[304] + vX_[1880] * vX_[937]) * 0.08 - (vX_[1787] * vX_[1006] + vX_[1883] * vX_[997] + vX_[1059] * vX_[321] + vX_[1347] * vX_[323] + vX_[1156] * vX_[292] + vX_[1220] * vX_[320] + vX_[1058] * vX_[334] + vX_[1187] * vX_[277] + vX_[794] * vX_[346] + vX_[1157] * vX_[281] + vX_[1076] * vX_[271] + vX_[1372] * vX_[345] + vX_[2065] * vX_[275] + vX_[786] * vX_[264] + vX_[1209] * vX_[276] + vX_[1335] * vX_[270] + vX_[1331] * vX_[282] + vX_[1428] * vX_[285] + vX_[1341] * vX_[309] + vX_[1296] * vX_[311] + vX_[1196] * vX_[336] + vX_[1196] * vX_[337] + vX_[1174] * vX_[335] + vX_[1379] * vX_[308] + vX_[2367] * vX_[305] + vX_[1472] * vX_[950] + vX_[1127] * vX_[840])) * vX_[376];
+ vX_[644] = vX_[3270] * vX_[316] + vX_[1297] * vX_[235] + vX_[775] * vX_[331] + vX_[1082] * vX_[317] + vX_[644] * vX_[236] + vX_[1671] * vX_[1012];
+ vX_[1082] = 0 - vX_[644];
+ vX_[2178] = 0 - (vX_[3275] * vX_[329] + vX_[753] * vX_[316] + vX_[1370] * vX_[235] + vX_[1106] * vX_[236] + vX_[2178] * vX_[317] + vX_[564] * vX_[331] + vX_[1438] * vX_[1012] + vX_[1714] * vX_[1011]);
+ vX_[738] = vX_[1886] + vX_[738] * vX_[329] + vX_[1370] * vX_[316];
+ vX_[778] = vX_[738] + vX_[778] * vX_[236] + vX_[1081] * vX_[331] + vX_[1714] * vX_[1012];
+ vX_[1081] = 0 - vX_[778];
+ vX_[773] = vX_[1072] + vX_[773] * vX_[236] + vX_[3272] * vX_[331] * 2. + vX_[1714] * vX_[1008] + vX_[1550] * vX_[1012];
+ vX_[3272] = 0 - vX_[773];
+ vX_[3489] = vX_[467] + vX_[779] * vX_[236] + vX_[3489] * vX_[331] + vX_[1714] * vX_[1009] + vX_[1324] * vX_[1012];
+ vX_[467] = 0 - vX_[3489];
+ vX_[779] = (vX_[1081] * vX_[278] + vX_[3272] * vX_[338] + vX_[467] * vX_[347]) * 1 / vX_[313];
+ vX_[1081] = vX_[1598] * vX_[965] + vX_[1082] * vX_[326] + vX_[2178] * vX_[314] + vX_[1081] * vX_[341] + vX_[779];
+ vX_[3412] = vX_[1033] + vX_[1066] * vX_[317] + vX_[3412] * vX_[236] * 2. + vX_[1671] * vX_[1009];
+ vX_[1033] = vX_[3412] * vX_[266] + vX_[3489] * vX_[238];
+ vX_[1072] = vX_[3412] * vX_[238] + vX_[3489] * vX_[265];
+ vX_[3405] = vX_[1105] + vX_[3405] * vX_[236] + vX_[683] * vX_[317] * 2. + vX_[1671] * vX_[1008];
+ vX_[1030] = 0 - (0 - (vX_[3270] * vX_[329] + vX_[1128] * vX_[316]) + vX_[1067] * vX_[331] + vX_[550] * vX_[236] + vX_[1030] * vX_[317] + vX_[1671] * vX_[1011]);
+ vX_[3275] = vX_[1886] + vX_[3275] * vX_[316] + vX_[1248] * vX_[235];
+ vX_[1199] = 0 - (vX_[3275] + vX_[1199] * vX_[317] + vX_[764] * vX_[331] + vX_[1438] * vX_[1011]);
+ vX_[767] = 0 - (vX_[767] + vX_[1078] * vX_[317] + vX_[1066] * vX_[331] + vX_[1438] * vX_[1008] + vX_[1550] * vX_[1011]);
+ vX_[458] = vX_[781] + vX_[458] * vX_[317] + vX_[980] * vX_[331] * 2. + vX_[1438] * vX_[1009] + vX_[1324] * vX_[1011];
+ vX_[781] = 0 - vX_[458];
+ vX_[2178] = (vX_[1199] * vX_[287] + vX_[2178] * vX_[278] + vX_[767] * vX_[338] + vX_[781] * vX_[347]) * 1 / vX_[313];
+ vX_[1199] = 0 - vX_[3405] + vX_[1479] * vX_[965] + vX_[1030] * vX_[326] + vX_[1199] * vX_[314] + vX_[2178];
+ vX_[1438] = 0 - vX_[3412];
+ vX_[1066] = vX_[1066] + vX_[1550] * vX_[1009] + vX_[1324] * vX_[1008];
+ vX_[1078] = 0 - vX_[1066];
+ vX_[980] = vX_[980] + vX_[1324] * vX_[1009];
+ vX_[764] = 0 - vX_[980];
+ vX_[1248] = vX_[764] * vX_[347] * 1 / vX_[313];
+ vX_[764] = vX_[1834] * vX_[965] + vX_[1438] * vX_[326] + vX_[781] * vX_[314] + vX_[467] * vX_[341] + vX_[1078] * vX_[500] + vX_[764] * vX_[509] + vX_[1248];
+ vX_[781] = 0 - vX_[3405];
+ vX_[683] = vX_[683] + vX_[1550] * vX_[1008];
+ vX_[467] = 0 - vX_[683];
+ vX_[1078] = (vX_[467] * vX_[338] + vX_[1078] * vX_[347]) * 1 / vX_[313];
+ vX_[467] = vX_[1452] * vX_[965] + vX_[781] * vX_[326] + vX_[767] * vX_[314] + vX_[3272] * vX_[341] + vX_[467] * vX_[500] + vX_[1078];
+ vX_[3275] = vX_[1962] + vX_[1969] + vX_[1886] - vX_[3275] - vX_[738] + vX_[1102] * vX_[317] + vX_[599] * vX_[236];
+ vX_[738] = vX_[3275] - vX_[778];
+ vX_[599] = vX_[738] * vX_[266] + vX_[644] * vX_[238];
+ vX_[1102] = vX_[738] * vX_[238] + vX_[644] * vX_[265];
+ vX_[3275] = 0 - vX_[3275];
+ vX_[781] = (vX_[3275] * vX_[325] + vX_[1030] * vX_[287] + vX_[1082] * vX_[278] + vX_[781] * vX_[338] + vX_[1438] * vX_[347]) * 1 / vX_[313];
+ vX_[3275] = vX_[401] * vX_[965] + vX_[3275] * vX_[326] + vX_[781];
+ vX_[1438] = vX_[1081] * vX_[238] + vX_[3275] * vX_[266];
+ vX_[1030] = vX_[1081] * vX_[265] + vX_[3275] * vX_[238];
+ vX_[458] = vX_[773] - vX_[458];
+ vX_[781] = 0 - vX_[401] * vX_[983] - vX_[1479] * vX_[951] - vX_[1598] * vX_[1015] - vX_[1099] * vX_[974] + vX_[1099] * vX_[965] - vX_[1452] * vX_[996] - vX_[1834] * vX_[989] - vX_[781] * vX_[326] - vX_[2178] * vX_[314] - vX_[779] * vX_[341] - vX_[1078] * vX_[500] - vX_[1248] * vX_[509];
+ vX_[1078] = 0 - vX_[980] + vX_[781];
+ vX_[1248] = vX_[1078] * vX_[266] + vX_[764] * vX_[238];
+ vX_[2178] = vX_[1078] * vX_[238] + vX_[764] * vX_[265];
+ vX_[779] = vX_[1248] * vX_[238] + vX_[2178] * vX_[266];
+ vX_[1834] = vX_[980] + vX_[1248] * vX_[266];
+ vX_[1452] = vX_[980] + vX_[2178] * vX_[238];
+ vX_[781] = vX_[683] + vX_[980] + vX_[781] - vX_[1834] - vX_[1452];
+ vX_[683] = 0 - vX_[781];
+ vX_[980] = vX_[3405] * vX_[266] + vX_[773] * vX_[238];
+ vX_[1099] = vX_[980] + vX_[683] * vX_[279];
+ vX_[1598] = 0 - vX_[1099];
+ vX_[980] = 0 - (vX_[458] * vX_[238] + vX_[1199] * vX_[265]) + vX_[980];
+ vX_[1479] = vX_[3405] * vX_[238] + vX_[773] * vX_[265];
+ vX_[401] = vX_[1479] + vX_[781] * vX_[283];
+ vX_[1082] = 0 - vX_[401];
+ vX_[767] = 0 - (vX_[1066] * vX_[238] + vX_[467] * vX_[265]) + vX_[1066] * vX_[238] * 2.;
+ vX_[3272] = 0 - vX_[767];
+ vX_[1128] = vX_[1066] * vX_[266] + vX_[467] * vX_[238] + vX_[1066] * vX_[265] * 2.;
+ vX_[3270] = 0 - vX_[1128];
+ vX_[550] = 0 - vX_[1452];
+ vX_[1479] = vX_[458] * vX_[266] + vX_[1199] * vX_[238] + vX_[1479];
+ vX_[1067] = 0 - vX_[779];
+ vX_[1105] = 0 - vX_[1452];
+ jac[385] = 0 - (vX_[1714] * vX_[976] + vX_[1324] * vX_[1006] + vX_[644] * vX_[321] + vX_[1081] * vX_[271] + vX_[773] * vX_[334] + vX_[3489] * vX_[346] + vX_[1033] * vX_[275] + vX_[1072] * vX_[264] + vX_[1199] * vX_[282] + vX_[764] * vX_[309] + vX_[1066] * vX_[554] + vX_[467] * vX_[337] + vX_[1340] * vX_[957] + vX_[1241] * vX_[950] - (vX_[1671] * vX_[962] + vX_[1200] * vX_[846]) + (vX_[1550] * vX_[962] + vX_[1200] * vX_[937]) * 0.08 - (vX_[1466] * vX_[997] + vX_[738] * vX_[323] + vX_[599] * vX_[322] + vX_[1102] * vX_[292] + vX_[3405] * vX_[281] + vX_[3412] * vX_[345] + vX_[3275] * vX_[277] + vX_[1438] * vX_[276] + vX_[1030] * vX_[270] + vX_[458] * vX_[285] + vX_[1078] * vX_[311] + vX_[1066] * vX_[335] + vX_[1248] * vX_[261] + vX_[2178] * vX_[308] + (vX_[779] * vX_[284] + vX_[683] * vX_[294] + vX_[1834] * vX_[280] + vX_[1598] * vX_[290] + (vX_[980] + vX_[1834] * vX_[279]) * 4.027 + vX_[1082] * vX_[292] + vX_[3272] * vX_[276] + vX_[3270] * vX_[275] + vX_[779] * vX_[259] + vX_[1834] * vX_[310]) * 0.08 + vX_[1211] * vX_[840])) * vX_[3252] + (0 - (vX_[1714] * vX_[962] + vX_[1200] * vX_[957]) - (vX_[1671] * vX_[976] + vX_[1340] * vX_[846]) + (vX_[1550] * vX_[976] + vX_[781] * vX_[293] + vX_[550] * vX_[284] + vX_[1099] * vX_[292] + vX_[401] * vX_[291] + (0 - (vX_[1479] + vX_[779] * vX_[279] + vX_[550] * vX_[283])) * 4.027 + vX_[767] * vX_[270] + vX_[1128] * vX_[264] + vX_[1067] * vX_[272] + vX_[1105] * vX_[304] + vX_[1340] * vX_[937]) * 0.08 - (vX_[1466] * vX_[1006] + vX_[1324] * vX_[997] + vX_[738] * vX_[321] + vX_[644] * vX_[323] + vX_[599] * vX_[292] + vX_[1102] * vX_[320] + vX_[3405] * vX_[334] + vX_[1081] * vX_[277] + vX_[3412] * vX_[346] + vX_[773] * vX_[281] + vX_[3275] * vX_[271] + vX_[3489] * vX_[345] + vX_[1438] * vX_[275] + vX_[1030] * vX_[264] + vX_[1033] * vX_[276] + vX_[1072] * vX_[270] + vX_[458] * vX_[282] + vX_[1199] * vX_[285] + vX_[1078] * vX_[309] + vX_[764] * vX_[311] + vX_[1066] * vX_[336] + vX_[1066] * vX_[337] + vX_[467] * vX_[335] + vX_[1248] * vX_[308] + vX_[2178] * vX_[305] + vX_[1211] * vX_[950] + vX_[1241] * vX_[840])) * vX_[376];
+ vX_[3464] = vX_[3323] * vX_[316] + vX_[1077] * vX_[235] + vX_[729] * vX_[331] + vX_[3472] * vX_[317] + vX_[3464] * vX_[236] + vX_[1508] * vX_[1012];
+ vX_[3472] = 0 - vX_[3464];
+ vX_[1906] = 0 - (vX_[3313] * vX_[329] + vX_[404] * vX_[316] + vX_[766] * vX_[235] + vX_[971] * vX_[236] + vX_[1906] * vX_[317] + vX_[3357] * vX_[331] + vX_[1278] * vX_[1012] + vX_[1477] * vX_[1011]);
+ vX_[3382] = vX_[2036] + vX_[3382] * vX_[329] + vX_[766] * vX_[316];
+ vX_[744] = vX_[3382] + vX_[744] * vX_[236] + vX_[578] * vX_[331] + vX_[1477] * vX_[1012];
+ vX_[578] = 0 - vX_[744];
+ vX_[3376] = vX_[3407] + vX_[3376] * vX_[236] + vX_[3333] * vX_[331] * 2. + vX_[1477] * vX_[1008] + vX_[1476] * vX_[1012];
+ vX_[3333] = 0 - vX_[3376];
+ vX_[3257] = vX_[3448] + vX_[624] * vX_[236] + vX_[3257] * vX_[331] + vX_[1477] * vX_[1009] + vX_[1024] * vX_[1012];
+ vX_[3448] = 0 - vX_[3257];
+ vX_[624] = (vX_[578] * vX_[278] + vX_[3333] * vX_[338] + vX_[3448] * vX_[347]) * 1 / vX_[313];
+ vX_[578] = vX_[1206] * vX_[965] + vX_[3472] * vX_[326] + vX_[1906] * vX_[314] + vX_[578] * vX_[341] + vX_[624];
+ vX_[3387] = vX_[707] + vX_[382] * vX_[317] + vX_[3387] * vX_[236] * 2. + vX_[1508] * vX_[1009];
+ vX_[707] = vX_[3387] * vX_[266] + vX_[3257] * vX_[238];
+ vX_[3407] = vX_[3387] * vX_[238] + vX_[3257] * vX_[265];
+ vX_[3303] = vX_[493] + vX_[3303] * vX_[236] + vX_[3410] * vX_[317] * 2. + vX_[1508] * vX_[1008];
+ vX_[3206] = 0 - (0 - (vX_[3323] * vX_[329] + vX_[3458] * vX_[316]) + vX_[406] * vX_[331] + vX_[3385] * vX_[236] + vX_[3206] * vX_[317] + vX_[1508] * vX_[1011]);
+ vX_[3313] = vX_[2036] + vX_[3313] * vX_[316] + vX_[765] * vX_[235];
+ vX_[714] = 0 - (vX_[3313] + vX_[714] * vX_[317] + vX_[582] * vX_[331] + vX_[1278] * vX_[1011]);
+ vX_[3447] = 0 - (vX_[3447] + vX_[451] * vX_[317] + vX_[382] * vX_[331] + vX_[1278] * vX_[1008] + vX_[1476] * vX_[1011]);
+ vX_[3365] = vX_[726] + vX_[3365] * vX_[317] + vX_[3408] * vX_[331] * 2. + vX_[1278] * vX_[1009] + vX_[1024] * vX_[1011];
+ vX_[726] = 0 - vX_[3365];
+ vX_[1906] = (vX_[714] * vX_[287] + vX_[1906] * vX_[278] + vX_[3447] * vX_[338] + vX_[726] * vX_[347]) * 1 / vX_[313];
+ vX_[714] = 0 - vX_[3303] + vX_[784] * vX_[965] + vX_[3206] * vX_[326] + vX_[714] * vX_[314] + vX_[1906];
+ vX_[1278] = 0 - vX_[3387];
+ vX_[382] = vX_[382] + vX_[1476] * vX_[1009] + vX_[1024] * vX_[1008];
+ vX_[451] = 0 - vX_[382];
+ vX_[3408] = vX_[3408] + vX_[1024] * vX_[1009];
+ vX_[582] = 0 - vX_[3408];
+ vX_[765] = vX_[582] * vX_[347] * 1 / vX_[313];
+ vX_[582] = vX_[1315] * vX_[965] + vX_[1278] * vX_[326] + vX_[726] * vX_[314] + vX_[3448] * vX_[341] + vX_[451] * vX_[500] + vX_[582] * vX_[509] + vX_[765];
+ vX_[726] = 0 - vX_[3303];
+ vX_[3410] = vX_[3410] + vX_[1476] * vX_[1008];
+ vX_[3448] = 0 - vX_[3410];
+ vX_[451] = (vX_[3448] * vX_[338] + vX_[451] * vX_[347]) * 1 / vX_[313];
+ vX_[3448] = vX_[1215] * vX_[965] + vX_[726] * vX_[326] + vX_[3447] * vX_[314] + vX_[3333] * vX_[341] + vX_[3448] * vX_[500] + vX_[451];
+ vX_[3313] = vX_[2110] + vX_[2117] + vX_[2036] - vX_[3313] - vX_[3382] + vX_[689] * vX_[317] + vX_[3126] * vX_[236];
+ vX_[3382] = vX_[3313] - vX_[744];
+ vX_[3126] = vX_[3382] * vX_[266] + vX_[3464] * vX_[238];
+ vX_[689] = vX_[3382] * vX_[238] + vX_[3464] * vX_[265];
+ vX_[3313] = 0 - vX_[3313];
+ vX_[726] = (vX_[3313] * vX_[325] + vX_[3206] * vX_[287] + vX_[3472] * vX_[278] + vX_[726] * vX_[338] + vX_[1278] * vX_[347]) * 1 / vX_[313];
+ vX_[3313] = vX_[1734] * vX_[965] + vX_[3313] * vX_[326] + vX_[726];
+ vX_[1278] = vX_[578] * vX_[238] + vX_[3313] * vX_[266];
+ vX_[3206] = vX_[578] * vX_[265] + vX_[3313] * vX_[238];
+ vX_[3365] = vX_[3376] - vX_[3365];
+ vX_[726] = 0 - vX_[1734] * vX_[983] - vX_[784] * vX_[951] - vX_[1206] * vX_[1015] - vX_[743] * vX_[974] + vX_[743] * vX_[965] - vX_[1215] * vX_[996] - vX_[1315] * vX_[989] - vX_[726] * vX_[326] - vX_[1906] * vX_[314] - vX_[624] * vX_[341] - vX_[451] * vX_[500] - vX_[765] * vX_[509];
+ vX_[451] = 0 - vX_[3408] + vX_[726];
+ vX_[765] = vX_[451] * vX_[266] + vX_[582] * vX_[238];
+ vX_[1906] = vX_[451] * vX_[238] + vX_[582] * vX_[265];
+ vX_[624] = vX_[765] * vX_[238] + vX_[1906] * vX_[266];
+ vX_[1315] = vX_[3408] + vX_[765] * vX_[266];
+ vX_[1215] = vX_[3408] + vX_[1906] * vX_[238];
+ vX_[726] = vX_[3410] + vX_[3408] + vX_[726] - vX_[1315] - vX_[1215];
+ vX_[3410] = 0 - vX_[726];
+ vX_[3408] = vX_[3303] * vX_[266] + vX_[3376] * vX_[238];
+ vX_[743] = vX_[3408] + vX_[3410] * vX_[279];
+ vX_[1206] = 0 - vX_[743];
+ vX_[3408] = 0 - (vX_[3365] * vX_[238] + vX_[714] * vX_[265]) + vX_[3408];
+ vX_[784] = vX_[3303] * vX_[238] + vX_[3376] * vX_[265];
+ vX_[1734] = vX_[784] + vX_[726] * vX_[283];
+ vX_[3472] = 0 - vX_[1734];
+ vX_[3447] = 0 - (vX_[382] * vX_[238] + vX_[3448] * vX_[265]) + vX_[382] * vX_[238] * 2.;
+ vX_[3333] = 0 - vX_[3447];
+ vX_[3458] = vX_[382] * vX_[266] + vX_[3448] * vX_[238] + vX_[382] * vX_[265] * 2.;
+ vX_[3323] = 0 - vX_[3458];
+ vX_[3385] = 0 - vX_[1215];
+ vX_[784] = vX_[3365] * vX_[266] + vX_[714] * vX_[238] + vX_[784];
+ vX_[406] = 0 - vX_[624];
+ vX_[493] = 0 - vX_[1215];
+ jac[386] = 0 - (vX_[1477] * vX_[976] + vX_[1024] * vX_[1006] + vX_[3464] * vX_[321] + vX_[578] * vX_[271] + vX_[3376] * vX_[334] + vX_[3257] * vX_[346] + vX_[707] * vX_[275] + vX_[3407] * vX_[264] + vX_[714] * vX_[282] + vX_[582] * vX_[309] + vX_[382] * vX_[554] + vX_[3448] * vX_[337] + vX_[1165] * vX_[957] + vX_[428] * vX_[950] - (vX_[1508] * vX_[962] + vX_[439] * vX_[846]) + (vX_[1476] * vX_[962] + vX_[439] * vX_[937]) * 0.08 - (vX_[1205] * vX_[997] + vX_[3382] * vX_[323] + vX_[3126] * vX_[322] + vX_[689] * vX_[292] + vX_[3303] * vX_[281] + vX_[3387] * vX_[345] + vX_[3313] * vX_[277] + vX_[1278] * vX_[276] + vX_[3206] * vX_[270] + vX_[3365] * vX_[285] + vX_[451] * vX_[311] + vX_[382] * vX_[335] + vX_[765] * vX_[261] + vX_[1906] * vX_[308] + (vX_[624] * vX_[284] + vX_[3410] * vX_[294] + vX_[1315] * vX_[280] + vX_[1206] * vX_[290] + (vX_[3408] + vX_[1315] * vX_[279]) * 4.027 + vX_[3472] * vX_[292] + vX_[3333] * vX_[276] + vX_[3323] * vX_[275] + vX_[624] * vX_[259] + vX_[1315] * vX_[310]) * 0.08 + vX_[427] * vX_[840])) * vX_[3252] + (0 - (vX_[1477] * vX_[962] + vX_[439] * vX_[957]) - (vX_[1508] * vX_[976] + vX_[1165] * vX_[846]) + (vX_[1476] * vX_[976] + vX_[726] * vX_[293] + vX_[3385] * vX_[284] + vX_[743] * vX_[292] + vX_[1734] * vX_[291] + (0 - (vX_[784] + vX_[624] * vX_[279] + vX_[3385] * vX_[283])) * 4.027 + vX_[3447] * vX_[270] + vX_[3458] * vX_[264] + vX_[406] * vX_[272] + vX_[493] * vX_[304] + vX_[1165] * vX_[937]) * 0.08 - (vX_[1205] * vX_[1006] + vX_[1024] * vX_[997] + vX_[3382] * vX_[321] + vX_[3464] * vX_[323] + vX_[3126] * vX_[292] + vX_[689] * vX_[320] + vX_[3303] * vX_[334] + vX_[578] * vX_[277] + vX_[3387] * vX_[346] + vX_[3376] * vX_[281] + vX_[3313] * vX_[271] + vX_[3257] * vX_[345] + vX_[1278] * vX_[275] + vX_[3206] * vX_[264] + vX_[707] * vX_[276] + vX_[3407] * vX_[270] + vX_[3365] * vX_[282] + vX_[714] * vX_[285] + vX_[451] * vX_[309] + vX_[582] * vX_[311] + vX_[382] * vX_[336] + vX_[382] * vX_[337] + vX_[3448] * vX_[335] + vX_[765] * vX_[308] + vX_[1906] * vX_[305] + vX_[427] * vX_[950] + vX_[428] * vX_[840])) * vX_[376];
+ vX_[3018] = vX_[2909] * vX_[316] + vX_[3409] * vX_[235] + vX_[3053] * vX_[331] + vX_[3088] * vX_[317] + vX_[3018] * vX_[236] + vX_[566] * vX_[1012];
+ vX_[3088] = vX_[954] * vX_[1810] + vX_[955] * vX_[1898] + vX_[236] * vX_[1899] + vX_[956] * vX_[1855] + vX_[316] * vX_[1754] + vX_[1012];
+ vX_[3053] = 0 - vX_[3018];
+ vX_[1468] = 0 - (vX_[2879] * vX_[329] + vX_[3161] * vX_[316] + vX_[3276] * vX_[235] + vX_[3054] * vX_[236] + vX_[1468] * vX_[317] + vX_[3035] * vX_[331] + vX_[1113] * vX_[1012] + vX_[3436] * vX_[1011]);
+ vX_[2869] = vX_[1949] + vX_[2869] * vX_[329] + vX_[3276] * vX_[316];
+ vX_[3007] = vX_[2869] + vX_[3007] * vX_[236] + vX_[3008] * vX_[331] + vX_[3436] * vX_[1012];
+ vX_[3008] = 0 - vX_[3007];
+ vX_[2798] = vX_[3093] + vX_[2798] * vX_[236] + vX_[2813] * vX_[331] * 2. + vX_[3436] * vX_[1008] + vX_[757] * vX_[1012];
+ vX_[2813] = 0 - vX_[2798];
+ vX_[2945] = vX_[3058] + vX_[2826] * vX_[236] + vX_[2945] * vX_[331] + vX_[3436] * vX_[1009] + vX_[430] * vX_[1012];
+ vX_[3058] = 0 - vX_[2945];
+ vX_[2826] = (vX_[3008] * vX_[278] + vX_[2813] * vX_[338] + vX_[3058] * vX_[347]) * 1 / vX_[313];
+ vX_[3008] = vX_[2197] * vX_[3088] + vX_[3267] * vX_[965] + vX_[3053] * vX_[326] + vX_[1468] * vX_[314] + vX_[3008] * vX_[341] + vX_[2826];
+ vX_[2859] = vX_[2831] + vX_[3160] * vX_[317] + vX_[2859] * vX_[236] * 2. + vX_[566] * vX_[1009];
+ vX_[2831] = vX_[2859] * vX_[266] + vX_[2945] * vX_[238];
+ vX_[2197] = vX_[2859] * vX_[238] + vX_[2945] * vX_[265];
+ vX_[2932] = vX_[3087] + vX_[2932] * vX_[236] + vX_[3103] * vX_[317] * 2. + vX_[566] * vX_[1008];
+ vX_[3087] = vX_[330] * vX_[1810] + vX_[328] * vX_[1898] + vX_[935] * vX_[1899] + vX_[316] * vX_[1855] + vX_[235] * vX_[1754] + vX_[1011];
+ vX_[2941] = 0 - (0 - (vX_[2909] * vX_[329] + vX_[3347] * vX_[316]) + vX_[2948] * vX_[331] + vX_[2681] * vX_[236] + vX_[2941] * vX_[317] + vX_[566] * vX_[1011]);
+ vX_[2879] = vX_[1949] + vX_[2879] * vX_[316] + vX_[3488] * vX_[235];
+ vX_[3261] = 0 - (vX_[2879] + vX_[3261] * vX_[317] + vX_[2949] * vX_[331] + vX_[1113] * vX_[1011]);
+ vX_[3089] = 0 - (vX_[3089] + vX_[3029] * vX_[317] + vX_[3160] * vX_[331] + vX_[1113] * vX_[1008] + vX_[757] * vX_[1011]);
+ vX_[3017] = vX_[2967] + vX_[3017] * vX_[317] + vX_[3039] * vX_[331] * 2. + vX_[1113] * vX_[1009] + vX_[430] * vX_[1011];
+ vX_[2967] = 0 - vX_[3017];
+ vX_[1468] = (vX_[3261] * vX_[287] + vX_[1468] * vX_[278] + vX_[3089] * vX_[338] + vX_[2967] * vX_[347]) * 1 / vX_[313];
+ vX_[3261] = 0 - vX_[2932] + vX_[2200] * vX_[3087] + vX_[3449] * vX_[965] + vX_[2941] * vX_[326] + vX_[3261] * vX_[314] + vX_[1468];
+ vX_[2200] = vX_[329] * vX_[1810] + vX_[316] * vX_[1898] + vX_[1009];
+ vX_[1113] = 0 - vX_[2859];
+ vX_[3160] = vX_[3160] + vX_[757] * vX_[1009] + vX_[430] * vX_[1008];
+ vX_[3029] = 0 - vX_[3160];
+ vX_[3039] = vX_[3039] + vX_[430] * vX_[1009];
+ vX_[2949] = 0 - vX_[3039];
+ vX_[3488] = vX_[2949] * vX_[347] * 1 / vX_[313];
+ vX_[2949] = vX_[2141] * vX_[2200] + vX_[1149] * vX_[965] + vX_[1113] * vX_[326] + vX_[2967] * vX_[314] + vX_[3058] * vX_[341] + vX_[3029] * vX_[500] + vX_[2949] * vX_[509] + vX_[3488];
+ vX_[2967] = vX_[316] * vX_[1810] + vX_[235] * vX_[1898] + vX_[1008];
+ vX_[3058] = 0 - vX_[2932];
+ vX_[3103] = vX_[3103] + vX_[757] * vX_[1008];
+ vX_[2141] = 0 - vX_[3103];
+ vX_[3029] = (vX_[2141] * vX_[338] + vX_[3029] * vX_[347]) * 1 / vX_[313];
+ vX_[2141] = vX_[2116] * vX_[2967] + vX_[423] * vX_[965] + vX_[3058] * vX_[326] + vX_[3089] * vX_[314] + vX_[2813] * vX_[341] + vX_[2141] * vX_[500] + vX_[3029];
+ vX_[2879] = vX_[2248] + vX_[2255] + vX_[1949] - vX_[2879] - vX_[2869] + vX_[2962] * vX_[317] + vX_[2857] * vX_[236];
+ vX_[2869] = vX_[2879] - vX_[3007];
+ vX_[2857] = vX_[2869] * vX_[266] + vX_[3018] * vX_[238];
+ vX_[2962] = vX_[2869] * vX_[238] + vX_[3018] * vX_[265];
+ vX_[3089] = 0.207 * vX_[1810] + vX_[1018];
+ vX_[2879] = 0 - vX_[2879];
+ vX_[3058] = (vX_[2879] * vX_[325] + vX_[2941] * vX_[287] + vX_[3053] * vX_[278] + vX_[3058] * vX_[338] + vX_[1113] * vX_[347]) * 1 / vX_[313];
+ vX_[2879] = vX_[2165] * vX_[3089] + vX_[1473] * vX_[965] + vX_[2879] * vX_[326] + vX_[3058];
+ vX_[2165] = vX_[3008] * vX_[238] + vX_[2879] * vX_[266];
+ vX_[1113] = vX_[3008] * vX_[265] + vX_[2879] * vX_[238];
+ vX_[3017] = vX_[2798] - vX_[3017];
+ vX_[2941] = (vX_[965] - vX_[313] * vX_[1899] - vX_[338] * vX_[2967] - vX_[347] * vX_[2200] - vX_[325] * vX_[3089] - vX_[287] * vX_[3087] - vX_[278] * vX_[3088]) / vX_[313];
+ vX_[3058] = 0 - vX_[2201] * vX_[2941] + vX_[2156] * vX_[1899] - vX_[1473] * vX_[983] - vX_[3449] * vX_[951] - vX_[3267] * vX_[1015] - vX_[3302] * vX_[974] + vX_[3302] * vX_[965] - vX_[423] * vX_[996] - vX_[1149] * vX_[989] - vX_[3058] * vX_[326] - vX_[1468] * vX_[314] - vX_[2826] * vX_[341] - vX_[3029] * vX_[500] - vX_[3488] * vX_[509];
+ vX_[3029] = 0 - vX_[3039] + vX_[3058];
+ vX_[3488] = vX_[3029] * vX_[266] + vX_[2949] * vX_[238];
+ vX_[1468] = vX_[3029] * vX_[238] + vX_[2949] * vX_[265];
+ vX_[2826] = vX_[3488] * vX_[238] + vX_[1468] * vX_[266];
+ vX_[1149] = vX_[3039] + vX_[3488] * vX_[266];
+ vX_[423] = vX_[3039] + vX_[1468] * vX_[238];
+ vX_[3058] = vX_[3103] + vX_[3039] + vX_[3058] - vX_[1149] - vX_[423];
+ vX_[3103] = 0 - vX_[3058];
+ vX_[3039] = vX_[2932] * vX_[266] + vX_[2798] * vX_[238];
+ vX_[3302] = vX_[3039] + vX_[3103] * vX_[279];
+ vX_[3267] = 0 - vX_[3302];
+ vX_[3039] = 0 - (vX_[3017] * vX_[238] + vX_[3261] * vX_[265]) + vX_[3039];
+ vX_[3449] = vX_[2932] * vX_[238] + vX_[2798] * vX_[265];
+ vX_[1473] = vX_[3449] + vX_[3058] * vX_[283];
+ vX_[2156] = 0 - vX_[1473];
+ vX_[2201] = 0 - (vX_[3160] * vX_[238] + vX_[2141] * vX_[265]) + vX_[3160] * vX_[238] * 2.;
+ vX_[3053] = 0 - vX_[2201];
+ vX_[2813] = vX_[3160] * vX_[266] + vX_[2141] * vX_[238] + vX_[3160] * vX_[265] * 2.;
+ vX_[2116] = 0 - vX_[2813];
+ vX_[3347] = 0 - vX_[423];
+ vX_[3449] = vX_[3017] * vX_[266] + vX_[3261] * vX_[238] + vX_[3449];
+ vX_[2909] = 0 - vX_[2826];
+ vX_[2681] = 0 - vX_[423];
+ jac[387] = 0 - (vX_[3436] * vX_[976] + vX_[430] * vX_[1006] + vX_[3018] * vX_[321] + vX_[3008] * vX_[271] + vX_[2798] * vX_[334] + vX_[2945] * vX_[346] + vX_[2831] * vX_[275] + vX_[2197] * vX_[264] + vX_[3261] * vX_[282] + vX_[2949] * vX_[309] + vX_[3160] * vX_[554] + vX_[2141] * vX_[337] + vX_[441] * vX_[957] + vX_[3149] * vX_[950] - (vX_[566] * vX_[962] + vX_[3196] * vX_[846]) + (vX_[757] * vX_[962] + vX_[3196] * vX_[937]) * 0.08 - (vX_[429] * vX_[997] + vX_[2869] * vX_[323] + vX_[2857] * vX_[322] + vX_[2962] * vX_[292] + vX_[2932] * vX_[281] + vX_[2859] * vX_[345] + vX_[2879] * vX_[277] + vX_[2165] * vX_[276] + vX_[1113] * vX_[270] + vX_[3017] * vX_[285] + vX_[3029] * vX_[311] + vX_[3160] * vX_[335] + vX_[3488] * vX_[261] + vX_[1468] * vX_[308] + (vX_[2826] * vX_[284] + vX_[3103] * vX_[294] + vX_[1149] * vX_[280] + vX_[3267] * vX_[290] + (vX_[3039] + vX_[1149] * vX_[279]) * 4.027 + vX_[2156] * vX_[292] + vX_[3053] * vX_[276] + vX_[2116] * vX_[275] + vX_[2826] * vX_[259] + vX_[1149] * vX_[310]) * 0.08 + vX_[3038] * vX_[840])) * vX_[3252] + (0 - (vX_[3436] * vX_[962] + vX_[3196] * vX_[957]) - (vX_[566] * vX_[976] + vX_[441] * vX_[846]) + (vX_[757] * vX_[976] + vX_[3058] * vX_[293] + vX_[3347] * vX_[284] + vX_[3302] * vX_[292] + vX_[1473] * vX_[291] + (0 - (vX_[3449] + vX_[2826] * vX_[279] + vX_[3347] * vX_[283])) * 4.027 + vX_[2201] * vX_[270] + vX_[2813] * vX_[264] + vX_[2909] * vX_[272] + vX_[2681] * vX_[304] + vX_[441] * vX_[937]) * 0.08 - (vX_[429] * vX_[1006] + vX_[430] * vX_[997] + vX_[2869] * vX_[321] + vX_[3018] * vX_[323] + vX_[2857] * vX_[292] + vX_[2962] * vX_[320] + vX_[2932] * vX_[334] + vX_[3008] * vX_[277] + vX_[2859] * vX_[346] + vX_[2798] * vX_[281] + vX_[2879] * vX_[271] + vX_[2945] * vX_[345] + vX_[2165] * vX_[275] + vX_[1113] * vX_[264] + vX_[2831] * vX_[276] + vX_[2197] * vX_[270] + vX_[3017] * vX_[282] + vX_[3261] * vX_[285] + vX_[3029] * vX_[309] + vX_[2949] * vX_[311] + vX_[3160] * vX_[336] + vX_[3160] * vX_[337] + vX_[2141] * vX_[335] + vX_[3488] * vX_[308] + vX_[1468] * vX_[305] + vX_[3038] * vX_[950] + vX_[3149] * vX_[840])) * vX_[376];
+ vX_[2379] = vX_[2497] * vX_[316] + vX_[2963] * vX_[235] + vX_[2597] * vX_[331] + vX_[2567] * vX_[317] + vX_[2379] * vX_[236] + vX_[392] * vX_[1012];
+ vX_[2567] = 0 - vX_[2379];
+ vX_[2973] = 0 - (vX_[2318] * vX_[329] + vX_[2782] * vX_[316] + vX_[2960] * vX_[235] + vX_[2735] * vX_[236] + vX_[2973] * vX_[317] + vX_[2391] * vX_[331] + vX_[436] * vX_[1012] + vX_[388] * vX_[1011]);
+ vX_[2488] = vX_[2325] + vX_[2488] * vX_[329] + vX_[2960] * vX_[316];
+ vX_[2549] = vX_[2488] + vX_[2549] * vX_[236] + vX_[2651] * vX_[331] + vX_[388] * vX_[1012];
+ vX_[2651] = 0 - vX_[2549];
+ vX_[2368] = vX_[2390] + vX_[2368] * vX_[236] + vX_[2575] * vX_[331] * 2. + vX_[388] * vX_[1008] + vX_[387] * vX_[1012];
+ vX_[2575] = 0 - vX_[2368];
+ vX_[2647] = vX_[2502] + vX_[2577] * vX_[236] + vX_[2647] * vX_[331] + vX_[388] * vX_[1009] + vX_[2196] * vX_[1012];
+ vX_[2502] = 0 - vX_[2647];
+ vX_[2577] = (vX_[2651] * vX_[278] + vX_[2575] * vX_[338] + vX_[2502] * vX_[347]) * 1 / vX_[313];
+ vX_[2651] = vX_[2303] * vX_[3088] + vX_[3353] * vX_[965] + vX_[2567] * vX_[326] + vX_[2973] * vX_[314] + vX_[2651] * vX_[341] + vX_[2577];
+ vX_[2413] = vX_[2612] + vX_[2542] * vX_[317] + vX_[2413] * vX_[236] * 2. + vX_[392] * vX_[1009];
+ vX_[2612] = vX_[2413] * vX_[266] + vX_[2647] * vX_[238];
+ vX_[2303] = vX_[2413] * vX_[238] + vX_[2647] * vX_[265];
+ vX_[2459] = vX_[2661] + vX_[2459] * vX_[236] + vX_[2789] * vX_[317] * 2. + vX_[392] * vX_[1008];
+ vX_[2493] = 0 - (0 - (vX_[2497] * vX_[329] + vX_[2812] * vX_[316]) + vX_[2520] * vX_[331] + vX_[2460] * vX_[236] + vX_[2493] * vX_[317] + vX_[392] * vX_[1011]);
+ vX_[2318] = vX_[2325] + vX_[2318] * vX_[316] + vX_[2914] * vX_[235];
+ vX_[3383] = 0 - (vX_[2318] + vX_[3383] * vX_[317] + vX_[2566] * vX_[331] + vX_[436] * vX_[1011]);
+ vX_[2518] = 0 - (vX_[2518] + vX_[2470] * vX_[317] + vX_[2542] * vX_[331] + vX_[436] * vX_[1008] + vX_[387] * vX_[1011]);
+ vX_[2525] = vX_[2587] + vX_[2525] * vX_[317] + vX_[2758] * vX_[331] * 2. + vX_[436] * vX_[1009] + vX_[2196] * vX_[1011];
+ vX_[2587] = 0 - vX_[2525];
+ vX_[2973] = (vX_[3383] * vX_[287] + vX_[2973] * vX_[278] + vX_[2518] * vX_[338] + vX_[2587] * vX_[347]) * 1 / vX_[313];
+ vX_[3383] = 0 - vX_[2459] + vX_[2254] * vX_[3087] + vX_[3301] * vX_[965] + vX_[2493] * vX_[326] + vX_[3383] * vX_[314] + vX_[2973];
+ vX_[2254] = 0 - vX_[2413];
+ vX_[2542] = vX_[2542] + vX_[387] * vX_[1009] + vX_[2196] * vX_[1008];
+ vX_[436] = 0 - vX_[2542];
+ vX_[2758] = vX_[2758] + vX_[2196] * vX_[1009];
+ vX_[2470] = 0 - vX_[2758];
+ vX_[2566] = vX_[2470] * vX_[347] * 1 / vX_[313];
+ vX_[2470] = vX_[2296] * vX_[2200] + vX_[2063] * vX_[965] + vX_[2254] * vX_[326] + vX_[2587] * vX_[314] + vX_[2502] * vX_[341] + vX_[436] * vX_[500] + vX_[2470] * vX_[509] + vX_[2566];
+ vX_[2587] = 0 - vX_[2459];
+ vX_[2789] = vX_[2789] + vX_[387] * vX_[1008];
+ vX_[2502] = 0 - vX_[2789];
+ vX_[436] = (vX_[2502] * vX_[338] + vX_[436] * vX_[347]) * 1 / vX_[313];
+ vX_[2502] = vX_[2299] * vX_[2967] + vX_[2131] * vX_[965] + vX_[2587] * vX_[326] + vX_[2518] * vX_[314] + vX_[2575] * vX_[341] + vX_[2502] * vX_[500] + vX_[436];
+ vX_[2518] = vX_[1899] + vX_[2941];
+ vX_[2318] = vX_[2400] + vX_[2407] + vX_[2325] - vX_[2318] - vX_[2488] + vX_[2521] * vX_[317] + vX_[2397] * vX_[236];
+ vX_[2488] = vX_[2318] - vX_[2549];
+ vX_[2397] = vX_[2488] * vX_[266] + vX_[2379] * vX_[238];
+ vX_[2521] = vX_[2488] * vX_[238] + vX_[2379] * vX_[265];
+ vX_[2318] = 0 - vX_[2318];
+ vX_[2587] = (vX_[2318] * vX_[325] + vX_[2493] * vX_[287] + vX_[2567] * vX_[278] + vX_[2587] * vX_[338] + vX_[2254] * vX_[347]) * 1 / vX_[313];
+ vX_[2318] = vX_[2256] * vX_[3089] + vX_[586] * vX_[965] + vX_[2318] * vX_[326] + vX_[2587];
+ vX_[2256] = vX_[2651] * vX_[238] + vX_[2318] * vX_[266];
+ vX_[2254] = vX_[2651] * vX_[265] + vX_[2318] * vX_[238];
+ vX_[2525] = vX_[2368] - vX_[2525];
+ vX_[2587] = 0 - vX_[2306] * vX_[2941] + vX_[2301] * vX_[1899] - vX_[586] * vX_[983] - vX_[3301] * vX_[951] - vX_[3353] * vX_[1015] - vX_[2126] * vX_[974] + vX_[2126] * vX_[965] - vX_[2131] * vX_[996] - vX_[2063] * vX_[989] - vX_[2587] * vX_[326] - vX_[2973] * vX_[314] - vX_[2577] * vX_[341] - vX_[436] * vX_[500] - vX_[2566] * vX_[509];
+ vX_[436] = 0 - vX_[2758] + vX_[2587];
+ vX_[2566] = vX_[436] * vX_[266] + vX_[2470] * vX_[238];
+ vX_[2973] = vX_[436] * vX_[238] + vX_[2470] * vX_[265];
+ vX_[2577] = vX_[2566] * vX_[238] + vX_[2973] * vX_[266];
+ vX_[2063] = vX_[2758] + vX_[2566] * vX_[266];
+ vX_[2131] = vX_[2758] + vX_[2973] * vX_[238];
+ vX_[2587] = vX_[2789] + vX_[2758] + vX_[2587] - vX_[2063] - vX_[2131];
+ vX_[2789] = 0 - vX_[2587];
+ vX_[2758] = vX_[2459] * vX_[266] + vX_[2368] * vX_[238];
+ vX_[2126] = vX_[2758] + vX_[2789] * vX_[279];
+ vX_[3353] = 0 - vX_[2126];
+ vX_[2758] = 0 - (vX_[2525] * vX_[238] + vX_[3383] * vX_[265]) + vX_[2758];
+ vX_[3301] = vX_[2459] * vX_[238] + vX_[2368] * vX_[265];
+ vX_[586] = vX_[3301] + vX_[2587] * vX_[283];
+ vX_[2301] = 0 - vX_[586];
+ vX_[2306] = 0 - (vX_[2542] * vX_[238] + vX_[2502] * vX_[265]) + vX_[2542] * vX_[238] * 2.;
+ vX_[2493] = 0 - vX_[2306];
+ vX_[2567] = vX_[2542] * vX_[266] + vX_[2502] * vX_[238] + vX_[2542] * vX_[265] * 2.;
+ vX_[2575] = 0 - vX_[2567];
+ vX_[2299] = 0 - vX_[2131];
+ vX_[3301] = vX_[2525] * vX_[266] + vX_[3383] * vX_[238] + vX_[3301];
+ vX_[2296] = 0 - vX_[2577];
+ vX_[2914] = 0 - vX_[2131];
+ jac[388] = 0 - (vX_[2129] * vX_[3088] + vX_[2334] * vX_[2200] + vX_[388] * vX_[976] + vX_[2196] * vX_[1006] + vX_[2379] * vX_[321] + vX_[2651] * vX_[271] + vX_[2368] * vX_[334] + vX_[2647] * vX_[346] + vX_[2612] * vX_[275] + vX_[2303] * vX_[264] + vX_[3383] * vX_[282] + vX_[2470] * vX_[309] + vX_[2542] * vX_[554] + vX_[2502] * vX_[337] + vX_[3329] * vX_[957] + vX_[2691] * vX_[950] - (vX_[2264] * vX_[3089] + vX_[392] * vX_[962] + vX_[2885] * vX_[846]) + (vX_[2264] * vX_[2967] + vX_[387] * vX_[962] + vX_[2885] * vX_[937]) * 0.08 - (vX_[2103] * vX_[2518] + vX_[2938] * vX_[997] + vX_[2488] * vX_[323] + vX_[2397] * vX_[322] + vX_[2521] * vX_[292] + vX_[2459] * vX_[281] + vX_[2413] * vX_[345] + vX_[2318] * vX_[277] + vX_[2256] * vX_[276] + vX_[2254] * vX_[270] + vX_[2525] * vX_[285] + vX_[436] * vX_[311] + vX_[2542] * vX_[335] + vX_[2566] * vX_[261] + vX_[2973] * vX_[308] + (vX_[2577] * vX_[284] + vX_[2789] * vX_[294] + vX_[2063] * vX_[280] + vX_[3353] * vX_[290] + (vX_[2758] + vX_[2063] * vX_[279]) * 4.027 + vX_[2301] * vX_[292] + vX_[2493] * vX_[276] + vX_[2575] * vX_[275] + vX_[2577] * vX_[259] + vX_[2063] * vX_[310]) * 0.08 + vX_[2754] * vX_[840])) * vX_[3252] + (0 - (vX_[2264] * vX_[3088] + vX_[388] * vX_[962] + vX_[2885] * vX_[957]) - (vX_[2129] * vX_[3089] + vX_[392] * vX_[976] + vX_[3329] * vX_[846]) + (vX_[2129] * vX_[2967] + vX_[387] * vX_[976] + vX_[2587] * vX_[293] + vX_[2299] * vX_[284] + vX_[2126] * vX_[292] + vX_[586] * vX_[291] + (0 - (vX_[3301] + vX_[2577] * vX_[279] + vX_[2299] * vX_[283])) * 4.027 + vX_[2306] * vX_[270] + vX_[2567] * vX_[264] + vX_[2296] * vX_[272] + vX_[2914] * vX_[304] + vX_[3329] * vX_[937]) * 0.08 - (vX_[2103] * vX_[2200] + vX_[2334] * vX_[2518] + vX_[2938] * vX_[1006] + vX_[2196] * vX_[997] + vX_[2488] * vX_[321] + vX_[2379] * vX_[323] + vX_[2397] * vX_[292] + vX_[2521] * vX_[320] + vX_[2459] * vX_[334] + vX_[2651] * vX_[277] + vX_[2413] * vX_[346] + vX_[2368] * vX_[281] + vX_[2318] * vX_[271] + vX_[2647] * vX_[345] + vX_[2256] * vX_[275] + vX_[2254] * vX_[264] + vX_[2612] * vX_[276] + vX_[2303] * vX_[270] + vX_[2525] * vX_[282] + vX_[3383] * vX_[285] + vX_[436] * vX_[309] + vX_[2470] * vX_[311] + vX_[2542] * vX_[336] + vX_[2542] * vX_[337] + vX_[2502] * vX_[335] + vX_[2566] * vX_[308] + vX_[2973] * vX_[305] + vX_[2754] * vX_[950] + vX_[2691] * vX_[840])) * vX_[376];
+ vX_[2204] = vX_[2016] * vX_[316] + vX_[2717] * vX_[235] + vX_[2312] * vX_[331] + vX_[2123] * vX_[317] + vX_[2204] * vX_[236] + vX_[3231] * vX_[1012];
+ vX_[2123] = 0 - vX_[2204];
+ vX_[2654] = 0 - (vX_[2166] * vX_[329] + vX_[2307] * vX_[316] + vX_[2617] * vX_[235] + vX_[2053] * vX_[236] + vX_[2654] * vX_[317] + vX_[2124] * vX_[331] + vX_[3019] * vX_[1012] + vX_[3159] * vX_[1011]);
+ vX_[2206] = vX_[2477] + vX_[2206] * vX_[329] + vX_[2617] * vX_[316];
+ vX_[2272] = vX_[2206] + vX_[2272] * vX_[236] + vX_[2037] * vX_[331] + vX_[3159] * vX_[1012];
+ vX_[2037] = 0 - vX_[2272];
+ vX_[2014] = vX_[2170] + vX_[2014] * vX_[236] + vX_[2083] * vX_[331] * 2. + vX_[3159] * vX_[1008] + vX_[3200] * vX_[1012];
+ vX_[2083] = 0 - vX_[2014];
+ vX_[1945] = vX_[2135] + vX_[2198] * vX_[236] + vX_[1945] * vX_[331] + vX_[3159] * vX_[1009] + vX_[2302] * vX_[1012];
+ vX_[2135] = 0 - vX_[1945];
+ vX_[2198] = (vX_[2037] * vX_[278] + vX_[2083] * vX_[338] + vX_[2135] * vX_[347]) * 1 / vX_[313];
+ vX_[2037] = vX_[2454] * vX_[3088] + vX_[2943] * vX_[965] + vX_[2123] * vX_[326] + vX_[2654] * vX_[314] + vX_[2037] * vX_[341] + vX_[2198];
+ vX_[2183] = vX_[2289] + vX_[2342] * vX_[317] + vX_[2183] * vX_[236] * 2. + vX_[3231] * vX_[1009];
+ vX_[2289] = vX_[2183] * vX_[266] + vX_[1945] * vX_[238];
+ vX_[2454] = vX_[2183] * vX_[238] + vX_[1945] * vX_[265];
+ vX_[1968] = vX_[2343] + vX_[1968] * vX_[236] + vX_[2098] * vX_[317] * 2. + vX_[3231] * vX_[1008];
+ vX_[1942] = 0 - (0 - (vX_[2016] * vX_[329] + vX_[2369] * vX_[316]) + vX_[1769] * vX_[331] + vX_[2079] * vX_[236] + vX_[1942] * vX_[317] + vX_[3231] * vX_[1011]);
+ vX_[2166] = vX_[2477] + vX_[2166] * vX_[316] + vX_[2646] * vX_[235];
+ vX_[2810] = 0 - (vX_[2166] + vX_[2810] * vX_[317] + vX_[2209] * vX_[331] + vX_[3019] * vX_[1011]);
+ vX_[2175] = 0 - (vX_[2175] + vX_[1983] * vX_[317] + vX_[2342] * vX_[331] + vX_[3019] * vX_[1008] + vX_[3200] * vX_[1011]);
+ vX_[2145] = vX_[1950] + vX_[2145] * vX_[317] + vX_[2215] * vX_[331] * 2. + vX_[3019] * vX_[1009] + vX_[2302] * vX_[1011];
+ vX_[1950] = 0 - vX_[2145];
+ vX_[2654] = (vX_[2810] * vX_[287] + vX_[2654] * vX_[278] + vX_[2175] * vX_[338] + vX_[1950] * vX_[347]) * 1 / vX_[313];
+ vX_[2810] = 0 - vX_[1968] + vX_[2421] * vX_[3087] + vX_[2903] * vX_[965] + vX_[1942] * vX_[326] + vX_[2810] * vX_[314] + vX_[2654];
+ vX_[3087] = 0 - vX_[2183];
+ vX_[2342] = vX_[2342] + vX_[3200] * vX_[1009] + vX_[2302] * vX_[1008];
+ vX_[2421] = 0 - vX_[2342];
+ vX_[2215] = vX_[2215] + vX_[2302] * vX_[1009];
+ vX_[3019] = 0 - vX_[2215];
+ vX_[1983] = vX_[3019] * vX_[347] * 1 / vX_[313];
+ vX_[3019] = vX_[2448] * vX_[2200] + vX_[2269] * vX_[965] + vX_[3087] * vX_[326] + vX_[1950] * vX_[314] + vX_[2135] * vX_[341] + vX_[2421] * vX_[500] + vX_[3019] * vX_[509] + vX_[1983];
+ vX_[1950] = 0 - vX_[1968];
+ vX_[2098] = vX_[2098] + vX_[3200] * vX_[1008];
+ vX_[2135] = 0 - vX_[2098];
+ vX_[2421] = (vX_[2135] * vX_[338] + vX_[2421] * vX_[347]) * 1 / vX_[313];
+ vX_[2135] = vX_[2450] * vX_[2967] + vX_[2298] * vX_[965] + vX_[1950] * vX_[326] + vX_[2175] * vX_[314] + vX_[2083] * vX_[341] + vX_[2135] * vX_[500] + vX_[2421];
+ vX_[2166] = vX_[2552] + vX_[2559] + vX_[2477] - vX_[2166] - vX_[2206] + vX_[2271] * vX_[317] + vX_[2049] * vX_[236];
+ vX_[2206] = vX_[2166] - vX_[2272];
+ vX_[2049] = vX_[2206] * vX_[266] + vX_[2204] * vX_[238];
+ vX_[2271] = vX_[2206] * vX_[238] + vX_[2204] * vX_[265];
+ vX_[2166] = 0 - vX_[2166];
+ vX_[1950] = (vX_[2166] * vX_[325] + vX_[1942] * vX_[287] + vX_[2123] * vX_[278] + vX_[1950] * vX_[338] + vX_[3087] * vX_[347]) * 1 / vX_[313];
+ vX_[2166] = vX_[2408] * vX_[3089] + vX_[393] * vX_[965] + vX_[2166] * vX_[326] + vX_[1950];
+ vX_[2408] = vX_[2037] * vX_[238] + vX_[2166] * vX_[266];
+ vX_[3087] = vX_[2037] * vX_[265] + vX_[2166] * vX_[238];
+ vX_[2145] = vX_[2014] - vX_[2145];
+ vX_[1950] = 0 - vX_[2406] * vX_[2941] + vX_[2452] * vX_[1899] - vX_[393] * vX_[983] - vX_[2903] * vX_[951] - vX_[2943] * vX_[1015] - vX_[2281] * vX_[974] + vX_[2281] * vX_[965] - vX_[2298] * vX_[996] - vX_[2269] * vX_[989] - vX_[1950] * vX_[326] - vX_[2654] * vX_[314] - vX_[2198] * vX_[341] - vX_[2421] * vX_[500] - vX_[1983] * vX_[509];
+ vX_[2421] = 0 - vX_[2215] + vX_[1950];
+ vX_[1983] = vX_[2421] * vX_[266] + vX_[3019] * vX_[238];
+ vX_[2654] = vX_[2421] * vX_[238] + vX_[3019] * vX_[265];
+ vX_[2198] = vX_[1983] * vX_[238] + vX_[2654] * vX_[266];
+ vX_[2941] = vX_[2215] + vX_[1983] * vX_[266];
+ vX_[2269] = vX_[2215] + vX_[2654] * vX_[238];
+ vX_[1950] = vX_[2098] + vX_[2215] + vX_[1950] - vX_[2941] - vX_[2269];
+ vX_[2098] = 0 - vX_[1950];
+ vX_[2215] = vX_[1968] * vX_[266] + vX_[2014] * vX_[238];
+ vX_[2298] = vX_[2215] + vX_[2098] * vX_[279];
+ vX_[2281] = 0 - vX_[2298];
+ vX_[2215] = 0 - (vX_[2145] * vX_[238] + vX_[2810] * vX_[265]) + vX_[2215];
+ vX_[2943] = vX_[1968] * vX_[238] + vX_[2014] * vX_[265];
+ vX_[2903] = vX_[2943] + vX_[1950] * vX_[283];
+ vX_[393] = 0 - vX_[2903];
+ vX_[2452] = 0 - (vX_[2342] * vX_[238] + vX_[2135] * vX_[265]) + vX_[2342] * vX_[238] * 2.;
+ vX_[2406] = 0 - vX_[2452];
+ vX_[1942] = vX_[2342] * vX_[266] + vX_[2135] * vX_[238] + vX_[2342] * vX_[265] * 2.;
+ vX_[2123] = 0 - vX_[1942];
+ vX_[2175] = 0 - vX_[2269];
+ vX_[2943] = vX_[2145] * vX_[266] + vX_[2810] * vX_[238] + vX_[2943];
+ vX_[2083] = 0 - vX_[2198];
+ vX_[2450] = 0 - vX_[2269];
+ jac[389] = 0 - (vX_[2455] * vX_[3088] + vX_[2446] * vX_[2200] + vX_[3159] * vX_[976] + vX_[2302] * vX_[1006] + vX_[2204] * vX_[321] + vX_[2037] * vX_[271] + vX_[2014] * vX_[334] + vX_[1945] * vX_[346] + vX_[2289] * vX_[275] + vX_[2454] * vX_[264] + vX_[2810] * vX_[282] + vX_[3019] * vX_[309] + vX_[2342] * vX_[554] + vX_[2135] * vX_[337] + vX_[2799] * vX_[957] + vX_[2424] * vX_[950] - (vX_[2436] * vX_[3089] + vX_[3231] * vX_[962] + vX_[2239] * vX_[846]) + (vX_[2436] * vX_[2967] + vX_[3200] * vX_[962] + vX_[2239] * vX_[937]) * 0.08 - (vX_[2487] * vX_[2518] + vX_[2415] * vX_[997] + vX_[2206] * vX_[323] + vX_[2049] * vX_[322] + vX_[2271] * vX_[292] + vX_[1968] * vX_[281] + vX_[2183] * vX_[345] + vX_[2166] * vX_[277] + vX_[2408] * vX_[276] + vX_[3087] * vX_[270] + vX_[2145] * vX_[285] + vX_[2421] * vX_[311] + vX_[2342] * vX_[335] + vX_[1983] * vX_[261] + vX_[2654] * vX_[308] + (vX_[2198] * vX_[284] + vX_[2098] * vX_[294] + vX_[2941] * vX_[280] + vX_[2281] * vX_[290] + (vX_[2215] + vX_[2941] * vX_[279]) * 4.027 + vX_[393] * vX_[292] + vX_[2406] * vX_[276] + vX_[2123] * vX_[275] + vX_[2198] * vX_[259] + vX_[2941] * vX_[310]) * 0.08 + vX_[2441] * vX_[840])) * vX_[3252] + (0 - (vX_[2436] * vX_[3088] + vX_[3159] * vX_[962] + vX_[2239] * vX_[957]) - (vX_[2455] * vX_[3089] + vX_[3231] * vX_[976] + vX_[2799] * vX_[846]) + (vX_[2455] * vX_[2967] + vX_[3200] * vX_[976] + vX_[1950] * vX_[293] + vX_[2175] * vX_[284] + vX_[2298] * vX_[292] + vX_[2903] * vX_[291] + (0 - (vX_[2943] + vX_[2198] * vX_[279] + vX_[2175] * vX_[283])) * 4.027 + vX_[2452] * vX_[270] + vX_[1942] * vX_[264] + vX_[2083] * vX_[272] + vX_[2450] * vX_[304] + vX_[2799] * vX_[937]) * 0.08 - (vX_[2487] * vX_[2200] + vX_[2446] * vX_[2518] + vX_[2415] * vX_[1006] + vX_[2302] * vX_[997] + vX_[2206] * vX_[321] + vX_[2204] * vX_[323] + vX_[2049] * vX_[292] + vX_[2271] * vX_[320] + vX_[1968] * vX_[334] + vX_[2037] * vX_[277] + vX_[2183] * vX_[346] + vX_[2014] * vX_[281] + vX_[2166] * vX_[271] + vX_[1945] * vX_[345] + vX_[2408] * vX_[275] + vX_[3087] * vX_[264] + vX_[2289] * vX_[276] + vX_[2454] * vX_[270] + vX_[2145] * vX_[282] + vX_[2810] * vX_[285] + vX_[2421] * vX_[309] + vX_[3019] * vX_[311] + vX_[2342] * vX_[336] + vX_[2342] * vX_[337] + vX_[2135] * vX_[335] + vX_[1983] * vX_[308] + vX_[2654] * vX_[305] + vX_[2441] * vX_[950] + vX_[2424] * vX_[840])) * vX_[376];
+ vX_[1637] = vX_[1675] * vX_[316] + vX_[2212] * vX_[235] + vX_[1986] * vX_[331] + vX_[1911] * vX_[317] + vX_[1637] * vX_[236] + vX_[2622] * vX_[1012];
+ vX_[1911] = 0 - vX_[1637];
+ vX_[2423] = 0 - (vX_[1710] * vX_[329] + vX_[1976] * vX_[316] + vX_[2207] * vX_[235] + vX_[2057] * vX_[236] + vX_[2423] * vX_[317] + vX_[1783] * vX_[331] + vX_[2640] * vX_[1012] + vX_[2532] * vX_[1011]);
+ vX_[1764] = vX_[2501] + vX_[1764] * vX_[329] + vX_[2207] * vX_[316];
+ vX_[2003] = vX_[1764] + vX_[2003] * vX_[236] + vX_[1638] * vX_[331] + vX_[2532] * vX_[1012];
+ vX_[1638] = 0 - vX_[2003];
+ vX_[1727] = vX_[1909] + vX_[1727] * vX_[236] + vX_[1506] * vX_[331] * 2. + vX_[2532] * vX_[1008] + vX_[2541] * vX_[1012];
+ vX_[1506] = 0 - vX_[1727];
+ vX_[1768] = vX_[1825] + vX_[1913] * vX_[236] + vX_[1768] * vX_[331] + vX_[2532] * vX_[1009] + vX_[2453] * vX_[1012];
+ vX_[1825] = 0 - vX_[1768];
+ vX_[1913] = (vX_[1638] * vX_[278] + vX_[1506] * vX_[338] + vX_[1825] * vX_[347]) * 1 / vX_[313];
+ vX_[1638] = vX_[2238] * vX_[965] + vX_[1911] * vX_[326] + vX_[2423] * vX_[314] + vX_[1638] * vX_[341] + vX_[1913];
+ vX_[1244] = vX_[1800] + vX_[1864] * vX_[317] + vX_[1244] * vX_[236] * 2. + vX_[2622] * vX_[1009];
+ vX_[1800] = vX_[1244] * vX_[266] + vX_[1768] * vX_[238];
+ vX_[1909] = vX_[1244] * vX_[238] + vX_[1768] * vX_[265];
+ vX_[1760] = vX_[1985] + vX_[1760] * vX_[236] + vX_[2021] * vX_[317] * 2. + vX_[2622] * vX_[1008];
+ vX_[1653] = 0 - (0 - (vX_[1675] * vX_[329] + vX_[1998] * vX_[316]) + vX_[1807] * vX_[331] + vX_[1712] * vX_[236] + vX_[1653] * vX_[317] + vX_[2622] * vX_[1011]);
+ vX_[1710] = vX_[2501] + vX_[1710] * vX_[316] + vX_[2125] * vX_[235];
+ vX_[2465] = 0 - (vX_[1710] + vX_[2465] * vX_[317] + vX_[1846] * vX_[331] + vX_[2640] * vX_[1011]);
+ vX_[1836] = 0 - (vX_[1836] + vX_[1835] * vX_[317] + vX_[1864] * vX_[331] + vX_[2640] * vX_[1008] + vX_[2541] * vX_[1011]);
+ vX_[1908] = vX_[1826] + vX_[1908] * vX_[317] + vX_[2018] * vX_[331] * 2. + vX_[2640] * vX_[1009] + vX_[2453] * vX_[1011];
+ vX_[1826] = 0 - vX_[1908];
+ vX_[2423] = (vX_[2465] * vX_[287] + vX_[2423] * vX_[278] + vX_[1836] * vX_[338] + vX_[1826] * vX_[347]) * 1 / vX_[313];
+ vX_[2465] = 0 - vX_[1760] + vX_[2445] * vX_[965] + vX_[1653] * vX_[326] + vX_[2465] * vX_[314] + vX_[2423];
+ vX_[2640] = 0 - vX_[1244];
+ vX_[1864] = vX_[1864] + vX_[2541] * vX_[1009] + vX_[2453] * vX_[1008];
+ vX_[1835] = 0 - vX_[1864];
+ vX_[2018] = vX_[2018] + vX_[2453] * vX_[1009];
+ vX_[1846] = 0 - vX_[2018];
+ vX_[2125] = vX_[1846] * vX_[347] * 1 / vX_[313];
+ vX_[1846] = vX_[2431] * vX_[965] + vX_[2640] * vX_[326] + vX_[1826] * vX_[314] + vX_[1825] * vX_[341] + vX_[1835] * vX_[500] + vX_[1846] * vX_[509] + vX_[2125];
+ vX_[1826] = 0 - vX_[1760];
+ vX_[2021] = vX_[2021] + vX_[2541] * vX_[1008];
+ vX_[1825] = 0 - vX_[2021];
+ vX_[1835] = (vX_[1825] * vX_[338] + vX_[1835] * vX_[347]) * 1 / vX_[313];
+ vX_[1825] = vX_[2491] * vX_[965] + vX_[1826] * vX_[326] + vX_[1836] * vX_[314] + vX_[1506] * vX_[341] + vX_[1825] * vX_[500] + vX_[1835];
+ vX_[1710] = vX_[2694] + vX_[2701] + vX_[2501] - vX_[1710] - vX_[1764] + vX_[2026] * vX_[317] + vX_[1619] * vX_[236];
+ vX_[1764] = vX_[1710] - vX_[2003];
+ vX_[1619] = vX_[1764] * vX_[266] + vX_[1637] * vX_[238];
+ vX_[2026] = vX_[1764] * vX_[238] + vX_[1637] * vX_[265];
+ vX_[1710] = 0 - vX_[1710];
+ vX_[1826] = (vX_[1710] * vX_[325] + vX_[1653] * vX_[287] + vX_[1911] * vX_[278] + vX_[1826] * vX_[338] + vX_[2640] * vX_[347]) * 1 / vX_[313];
+ vX_[1710] = vX_[3077] * vX_[965] + vX_[1710] * vX_[326] + vX_[1826];
+ vX_[2640] = vX_[1638] * vX_[238] + vX_[1710] * vX_[266];
+ vX_[1653] = vX_[1638] * vX_[265] + vX_[1710] * vX_[238];
+ vX_[1908] = vX_[1727] - vX_[1908];
+ vX_[1826] = 0 - vX_[3077] * vX_[983] - vX_[2445] * vX_[951] - vX_[2238] * vX_[1015] - vX_[2433] * vX_[974] + vX_[2433] * vX_[965] - vX_[2491] * vX_[996] - vX_[2431] * vX_[989] - vX_[1826] * vX_[326] - vX_[2423] * vX_[314] - vX_[1913] * vX_[341] - vX_[1835] * vX_[500] - vX_[2125] * vX_[509];
+ vX_[1835] = 0 - vX_[2018] + vX_[1826];
+ vX_[2125] = vX_[1835] * vX_[266] + vX_[1846] * vX_[238];
+ vX_[2423] = vX_[1835] * vX_[238] + vX_[1846] * vX_[265];
+ vX_[1913] = vX_[2125] * vX_[238] + vX_[2423] * vX_[266];
+ vX_[2431] = vX_[2018] + vX_[2125] * vX_[266];
+ vX_[2491] = vX_[2018] + vX_[2423] * vX_[238];
+ vX_[1826] = vX_[2021] + vX_[2018] + vX_[1826] - vX_[2431] - vX_[2491];
+ vX_[2021] = 0 - vX_[1826];
+ vX_[2018] = vX_[1760] * vX_[266] + vX_[1727] * vX_[238];
+ vX_[2433] = vX_[2018] + vX_[2021] * vX_[279];
+ vX_[2238] = 0 - vX_[2433];
+ vX_[2018] = 0 - (vX_[1908] * vX_[238] + vX_[2465] * vX_[265]) + vX_[2018];
+ vX_[2445] = vX_[1760] * vX_[238] + vX_[1727] * vX_[265];
+ vX_[3077] = vX_[2445] + vX_[1826] * vX_[283];
+ vX_[1911] = 0 - vX_[3077];
+ vX_[1836] = 0 - (vX_[1864] * vX_[238] + vX_[1825] * vX_[265]) + vX_[1864] * vX_[238] * 2.;
+ vX_[1506] = 0 - vX_[1836];
+ vX_[1998] = vX_[1864] * vX_[266] + vX_[1825] * vX_[238] + vX_[1864] * vX_[265] * 2.;
+ vX_[1675] = 0 - vX_[1998];
+ vX_[1712] = 0 - vX_[2491];
+ vX_[2445] = vX_[1908] * vX_[266] + vX_[2465] * vX_[238] + vX_[2445];
+ vX_[1807] = 0 - vX_[1913];
+ vX_[1985] = 0 - vX_[2491];
+ jac[390] = 0 - (vX_[2532] * vX_[976] + vX_[2453] * vX_[1006] + vX_[1637] * vX_[321] + vX_[1638] * vX_[271] + vX_[1727] * vX_[334] + vX_[1768] * vX_[346] + vX_[1800] * vX_[275] + vX_[1909] * vX_[264] + vX_[2465] * vX_[282] + vX_[1846] * vX_[309] + vX_[1864] * vX_[554] + vX_[1825] * vX_[337] + vX_[2414] * vX_[957] + vX_[2059] * vX_[950] - (vX_[2622] * vX_[962] + vX_[1988] * vX_[846]) + (vX_[2541] * vX_[962] + vX_[1988] * vX_[937]) * 0.08 - (vX_[2205] * vX_[997] + vX_[1764] * vX_[323] + vX_[1619] * vX_[322] + vX_[2026] * vX_[292] + vX_[1760] * vX_[281] + vX_[1244] * vX_[345] + vX_[1710] * vX_[277] + vX_[2640] * vX_[276] + vX_[1653] * vX_[270] + vX_[1908] * vX_[285] + vX_[1835] * vX_[311] + vX_[1864] * vX_[335] + vX_[2125] * vX_[261] + vX_[2423] * vX_[308] + (vX_[1913] * vX_[284] + vX_[2021] * vX_[294] + vX_[2431] * vX_[280] + vX_[2238] * vX_[290] + (vX_[2018] + vX_[2431] * vX_[279]) * 4.027 + vX_[1911] * vX_[292] + vX_[1506] * vX_[276] + vX_[1675] * vX_[275] + vX_[1913] * vX_[259] + vX_[2431] * vX_[310]) * 0.08 + vX_[1798] * vX_[840])) * vX_[3252] + (0 - (vX_[2532] * vX_[962] + vX_[1988] * vX_[957]) - (vX_[2622] * vX_[976] + vX_[2414] * vX_[846]) + (vX_[2541] * vX_[976] + vX_[1826] * vX_[293] + vX_[1712] * vX_[284] + vX_[2433] * vX_[292] + vX_[3077] * vX_[291] + (0 - (vX_[2445] + vX_[1913] * vX_[279] + vX_[1712] * vX_[283])) * 4.027 + vX_[1836] * vX_[270] + vX_[1998] * vX_[264] + vX_[1807] * vX_[272] + vX_[1985] * vX_[304] + vX_[2414] * vX_[937]) * 0.08 - (vX_[2205] * vX_[1006] + vX_[2453] * vX_[997] + vX_[1764] * vX_[321] + vX_[1637] * vX_[323] + vX_[1619] * vX_[292] + vX_[2026] * vX_[320] + vX_[1760] * vX_[334] + vX_[1638] * vX_[277] + vX_[1244] * vX_[346] + vX_[1727] * vX_[281] + vX_[1710] * vX_[271] + vX_[1768] * vX_[345] + vX_[2640] * vX_[275] + vX_[1653] * vX_[264] + vX_[1800] * vX_[276] + vX_[1909] * vX_[270] + vX_[1908] * vX_[282] + vX_[2465] * vX_[285] + vX_[1835] * vX_[309] + vX_[1846] * vX_[311] + vX_[1864] * vX_[336] + vX_[1864] * vX_[337] + vX_[1825] * vX_[335] + vX_[2125] * vX_[308] + vX_[2423] * vX_[305] + vX_[1798] * vX_[950] + vX_[2059] * vX_[840])) * vX_[376];
+ vX_[1288] = vX_[1333] * vX_[316] + vX_[1866] * vX_[235] + vX_[1575] * vX_[331] + vX_[1502] * vX_[317] + vX_[1288] * vX_[236] + vX_[2313] * vX_[1012];
+ vX_[1502] = 0 - vX_[1288];
+ vX_[2939] = 0 - (vX_[1282] * vX_[329] + vX_[1579] * vX_[316] + vX_[1902] * vX_[235] + vX_[1555] * vX_[236] + vX_[2939] * vX_[317] + vX_[1383] * vX_[331] + vX_[2078] * vX_[1012] + vX_[2283] * vX_[1011]);
+ vX_[1317] = vX_[2800] + vX_[1317] * vX_[329] + vX_[1902] * vX_[316];
+ vX_[1457] = vX_[1317] + vX_[1457] * vX_[236] + vX_[1189] * vX_[331] + vX_[2283] * vX_[1012];
+ vX_[1189] = 0 - vX_[1457];
+ vX_[1263] = vX_[1357] + vX_[1263] * vX_[236] + vX_[1275] * vX_[331] * 2. + vX_[2283] * vX_[1008] + vX_[2273] * vX_[1012];
+ vX_[1275] = 0 - vX_[1263];
+ vX_[1197] = vX_[1414] + vX_[1504] * vX_[236] + vX_[1197] * vX_[331] + vX_[2283] * vX_[1009] + vX_[2035] * vX_[1012];
+ vX_[1414] = 0 - vX_[1197];
+ vX_[1504] = (vX_[1189] * vX_[278] + vX_[1275] * vX_[338] + vX_[1414] * vX_[347]) * 1 / vX_[313];
+ vX_[1189] = vX_[2169] * vX_[965] + vX_[1502] * vX_[326] + vX_[2939] * vX_[314] + vX_[1189] * vX_[341] + vX_[1504];
+ vX_[1367] = vX_[1318] + vX_[1328] * vX_[317] + vX_[1367] * vX_[236] * 2. + vX_[2313] * vX_[1009];
+ vX_[1318] = vX_[1367] * vX_[266] + vX_[1197] * vX_[238];
+ vX_[1357] = vX_[1367] * vX_[238] + vX_[1197] * vX_[265];
+ vX_[1334] = vX_[1600] + vX_[1334] * vX_[236] + vX_[1405] * vX_[317] * 2. + vX_[2313] * vX_[1008];
+ vX_[1319] = 0 - (0 - (vX_[1333] * vX_[329] + vX_[1852] * vX_[316]) + vX_[1392] * vX_[331] + vX_[1131] * vX_[236] + vX_[1319] * vX_[317] + vX_[2313] * vX_[1011]);
+ vX_[1282] = vX_[2800] + vX_[1282] * vX_[316] + vX_[1876] * vX_[235];
+ vX_[1677] = 0 - (vX_[1282] + vX_[1677] * vX_[317] + vX_[1437] * vX_[331] + vX_[2078] * vX_[1011]);
+ vX_[1426] = 0 - (vX_[1426] + vX_[1413] * vX_[317] + vX_[1328] * vX_[331] + vX_[2078] * vX_[1008] + vX_[2273] * vX_[1011]);
+ vX_[1499] = vX_[1415] + vX_[1499] * vX_[317] + vX_[1416] * vX_[331] * 2. + vX_[2078] * vX_[1009] + vX_[2035] * vX_[1011];
+ vX_[1415] = 0 - vX_[1499];
+ vX_[2939] = (vX_[1677] * vX_[287] + vX_[2939] * vX_[278] + vX_[1426] * vX_[338] + vX_[1415] * vX_[347]) * 1 / vX_[313];
+ vX_[1677] = 0 - vX_[1334] + vX_[2008] * vX_[965] + vX_[1319] * vX_[326] + vX_[1677] * vX_[314] + vX_[2939];
+ vX_[2078] = 0 - vX_[1367];
+ vX_[1328] = vX_[1328] + vX_[2273] * vX_[1009] + vX_[2035] * vX_[1008];
+ vX_[1413] = 0 - vX_[1328];
+ vX_[1416] = vX_[1416] + vX_[2035] * vX_[1009];
+ vX_[1437] = 0 - vX_[1416];
+ vX_[1876] = vX_[1437] * vX_[347] * 1 / vX_[313];
+ vX_[1437] = vX_[2707] * vX_[965] + vX_[2078] * vX_[326] + vX_[1415] * vX_[314] + vX_[1414] * vX_[341] + vX_[1413] * vX_[500] + vX_[1437] * vX_[509] + vX_[1876];
+ vX_[1415] = 0 - vX_[1334];
+ vX_[1405] = vX_[1405] + vX_[2273] * vX_[1008];
+ vX_[1414] = 0 - vX_[1405];
+ vX_[1413] = (vX_[1414] * vX_[338] + vX_[1413] * vX_[347]) * 1 / vX_[313];
+ vX_[1414] = vX_[1977] * vX_[965] + vX_[1415] * vX_[326] + vX_[1426] * vX_[314] + vX_[1275] * vX_[341] + vX_[1414] * vX_[500] + vX_[1413];
+ vX_[1282] = vX_[2844] + vX_[2851] + vX_[2800] - vX_[1282] - vX_[1317] + vX_[1556] * vX_[317] + vX_[1325] * vX_[236];
+ vX_[1317] = vX_[1282] - vX_[1457];
+ vX_[1325] = vX_[1317] * vX_[266] + vX_[1288] * vX_[238];
+ vX_[1556] = vX_[1317] * vX_[238] + vX_[1288] * vX_[265];
+ vX_[1282] = 0 - vX_[1282];
+ vX_[1415] = (vX_[1282] * vX_[325] + vX_[1319] * vX_[287] + vX_[1502] * vX_[278] + vX_[1415] * vX_[338] + vX_[2078] * vX_[347]) * 1 / vX_[313];
+ vX_[1282] = vX_[2708] * vX_[965] + vX_[1282] * vX_[326] + vX_[1415];
+ vX_[2078] = vX_[1189] * vX_[238] + vX_[1282] * vX_[266];
+ vX_[1319] = vX_[1189] * vX_[265] + vX_[1282] * vX_[238];
+ vX_[1499] = vX_[1263] - vX_[1499];
+ vX_[1415] = 0 - vX_[2708] * vX_[983] - vX_[2008] * vX_[951] - vX_[2169] * vX_[1015] - vX_[1566] * vX_[974] + vX_[1566] * vX_[965] - vX_[1977] * vX_[996] - vX_[2707] * vX_[989] - vX_[1415] * vX_[326] - vX_[2939] * vX_[314] - vX_[1504] * vX_[341] - vX_[1413] * vX_[500] - vX_[1876] * vX_[509];
+ vX_[1413] = 0 - vX_[1416] + vX_[1415];
+ vX_[1876] = vX_[1413] * vX_[266] + vX_[1437] * vX_[238];
+ vX_[2939] = vX_[1413] * vX_[238] + vX_[1437] * vX_[265];
+ vX_[1504] = vX_[1876] * vX_[238] + vX_[2939] * vX_[266];
+ vX_[2707] = vX_[1416] + vX_[1876] * vX_[266];
+ vX_[1977] = vX_[1416] + vX_[2939] * vX_[238];
+ vX_[1415] = vX_[1405] + vX_[1416] + vX_[1415] - vX_[2707] - vX_[1977];
+ vX_[1405] = 0 - vX_[1415];
+ vX_[1416] = vX_[1334] * vX_[266] + vX_[1263] * vX_[238];
+ vX_[1566] = vX_[1416] + vX_[1405] * vX_[279];
+ vX_[2169] = 0 - vX_[1566];
+ vX_[1416] = 0 - (vX_[1499] * vX_[238] + vX_[1677] * vX_[265]) + vX_[1416];
+ vX_[2008] = vX_[1334] * vX_[238] + vX_[1263] * vX_[265];
+ vX_[2708] = vX_[2008] + vX_[1415] * vX_[283];
+ vX_[1502] = 0 - vX_[2708];
+ vX_[1426] = 0 - (vX_[1328] * vX_[238] + vX_[1414] * vX_[265]) + vX_[1328] * vX_[238] * 2.;
+ vX_[1275] = 0 - vX_[1426];
+ vX_[1852] = vX_[1328] * vX_[266] + vX_[1414] * vX_[238] + vX_[1328] * vX_[265] * 2.;
+ vX_[1333] = 0 - vX_[1852];
+ vX_[1131] = 0 - vX_[1977];
+ vX_[2008] = vX_[1499] * vX_[266] + vX_[1677] * vX_[238] + vX_[2008];
+ vX_[1392] = 0 - vX_[1504];
+ vX_[1600] = 0 - vX_[1977];
+ jac[391] = 0 - (vX_[2283] * vX_[976] + vX_[2035] * vX_[1006] + vX_[1288] * vX_[321] + vX_[1189] * vX_[271] + vX_[1263] * vX_[334] + vX_[1197] * vX_[346] + vX_[1318] * vX_[275] + vX_[1357] * vX_[264] + vX_[1677] * vX_[282] + vX_[1437] * vX_[309] + vX_[1328] * vX_[554] + vX_[1414] * vX_[337] + vX_[2022] * vX_[957] + vX_[1588] * vX_[950] - (vX_[2313] * vX_[962] + vX_[1686] * vX_[846]) + (vX_[2273] * vX_[962] + vX_[1686] * vX_[937]) * 0.08 - (vX_[1887] * vX_[997] + vX_[1317] * vX_[323] + vX_[1325] * vX_[322] + vX_[1556] * vX_[292] + vX_[1334] * vX_[281] + vX_[1367] * vX_[345] + vX_[1282] * vX_[277] + vX_[2078] * vX_[276] + vX_[1319] * vX_[270] + vX_[1499] * vX_[285] + vX_[1413] * vX_[311] + vX_[1328] * vX_[335] + vX_[1876] * vX_[261] + vX_[2939] * vX_[308] + (vX_[1504] * vX_[284] + vX_[1405] * vX_[294] + vX_[2707] * vX_[280] + vX_[2169] * vX_[290] + (vX_[1416] + vX_[2707] * vX_[279]) * 4.027 + vX_[1502] * vX_[292] + vX_[1275] * vX_[276] + vX_[1333] * vX_[275] + vX_[1504] * vX_[259] + vX_[2707] * vX_[310]) * 0.08 + vX_[1488] * vX_[840])) * vX_[3252] + (0 - (vX_[2283] * vX_[962] + vX_[1686] * vX_[957]) - (vX_[2313] * vX_[976] + vX_[2022] * vX_[846]) + (vX_[2273] * vX_[976] + vX_[1415] * vX_[293] + vX_[1131] * vX_[284] + vX_[1566] * vX_[292] + vX_[2708] * vX_[291] + (0 - (vX_[2008] + vX_[1504] * vX_[279] + vX_[1131] * vX_[283])) * 4.027 + vX_[1426] * vX_[270] + vX_[1852] * vX_[264] + vX_[1392] * vX_[272] + vX_[1600] * vX_[304] + vX_[2022] * vX_[937]) * 0.08 - (vX_[1887] * vX_[1006] + vX_[2035] * vX_[997] + vX_[1317] * vX_[321] + vX_[1288] * vX_[323] + vX_[1325] * vX_[292] + vX_[1556] * vX_[320] + vX_[1334] * vX_[334] + vX_[1189] * vX_[277] + vX_[1367] * vX_[346] + vX_[1263] * vX_[281] + vX_[1282] * vX_[271] + vX_[1197] * vX_[345] + vX_[2078] * vX_[275] + vX_[1319] * vX_[264] + vX_[1318] * vX_[276] + vX_[1357] * vX_[270] + vX_[1499] * vX_[282] + vX_[1677] * vX_[285] + vX_[1413] * vX_[309] + vX_[1437] * vX_[311] + vX_[1328] * vX_[336] + vX_[1328] * vX_[337] + vX_[1414] * vX_[335] + vX_[1876] * vX_[308] + vX_[2939] * vX_[305] + vX_[1488] * vX_[950] + vX_[1588] * vX_[840])) * vX_[376];
+ vX_[1021] = vX_[3443] * vX_[316] + vX_[1436] * vX_[235] + vX_[1163] * vX_[331] + vX_[1053] * vX_[317] + vX_[1021] * vX_[236] + vX_[1900] * vX_[1012];
+ vX_[1053] = 0 - vX_[1021];
+ vX_[2245] = 0 - (vX_[3446] * vX_[329] + vX_[1151] * vX_[316] + vX_[1493] * vX_[235] + vX_[1238] * vX_[236] + vX_[2245] * vX_[317] + vX_[770] * vX_[331] + vX_[1741] * vX_[1012] + vX_[1772] * vX_[1011]);
+ vX_[3455] = vX_[2950] + vX_[3455] * vX_[329] + vX_[1493] * vX_[316];
+ vX_[1182] = vX_[3455] + vX_[1182] * vX_[236] + vX_[1107] * vX_[331] + vX_[1772] * vX_[1012];
+ vX_[1107] = 0 - vX_[1182];
+ vX_[3485] = vX_[1103] + vX_[3485] * vX_[236] + vX_[763] * vX_[331] * 2. + vX_[1772] * vX_[1008] + vX_[1790] * vX_[1012];
+ vX_[763] = 0 - vX_[3485];
+ vX_[777] = vX_[1104] + vX_[1022] * vX_[236] + vX_[777] * vX_[331] + vX_[1772] * vX_[1009] + vX_[1731] * vX_[1012];
+ vX_[1104] = 0 - vX_[777];
+ vX_[1022] = (vX_[1107] * vX_[278] + vX_[763] * vX_[338] + vX_[1104] * vX_[347]) * 1 / vX_[313];
+ vX_[1107] = vX_[1726] * vX_[965] + vX_[1053] * vX_[326] + vX_[2245] * vX_[314] + vX_[1107] * vX_[341] + vX_[1022];
+ vX_[3389] = vX_[1041] + vX_[1152] * vX_[317] + vX_[3389] * vX_[236] * 2. + vX_[1900] * vX_[1009];
+ vX_[1041] = vX_[3389] * vX_[266] + vX_[777] * vX_[238];
+ vX_[1103] = vX_[3389] * vX_[238] + vX_[777] * vX_[265];
+ vX_[3484] = vX_[1162] + vX_[3484] * vX_[236] + vX_[793] * vX_[317] * 2. + vX_[1900] * vX_[1008];
+ vX_[3274] = 0 - (0 - (vX_[3443] * vX_[329] + vX_[1425] * vX_[316]) + vX_[1055] * vX_[331] + vX_[995] * vX_[236] + vX_[3274] * vX_[317] + vX_[1900] * vX_[1011]);
+ vX_[3446] = vX_[2950] + vX_[3446] * vX_[316] + vX_[1470] * vX_[235];
+ vX_[1362] = 0 - (vX_[3446] + vX_[1362] * vX_[317] + vX_[1075] * vX_[331] + vX_[1741] * vX_[1011]);
+ vX_[1042] = 0 - (vX_[1042] + vX_[1069] * vX_[317] + vX_[1152] * vX_[331] + vX_[1741] * vX_[1008] + vX_[1790] * vX_[1011]);
+ vX_[1032] = vX_[1098] + vX_[1032] * vX_[317] + vX_[1025] * vX_[331] * 2. + vX_[1741] * vX_[1009] + vX_[1731] * vX_[1011];
+ vX_[1098] = 0 - vX_[1032];
+ vX_[2245] = (vX_[1362] * vX_[287] + vX_[2245] * vX_[278] + vX_[1042] * vX_[338] + vX_[1098] * vX_[347]) * 1 / vX_[313];
+ vX_[1362] = 0 - vX_[3484] + vX_[1744] * vX_[965] + vX_[3274] * vX_[326] + vX_[1362] * vX_[314] + vX_[2245];
+ vX_[1741] = 0 - vX_[3389];
+ vX_[1152] = vX_[1152] + vX_[1790] * vX_[1009] + vX_[1731] * vX_[1008];
+ vX_[1069] = 0 - vX_[1152];
+ vX_[1025] = vX_[1025] + vX_[1731] * vX_[1009];
+ vX_[1075] = 0 - vX_[1025];
+ vX_[1470] = vX_[1075] * vX_[347] * 1 / vX_[313];
+ vX_[1075] = vX_[2174] * vX_[965] + vX_[1741] * vX_[326] + vX_[1098] * vX_[314] + vX_[1104] * vX_[341] + vX_[1069] * vX_[500] + vX_[1075] * vX_[509] + vX_[1470];
+ vX_[1098] = 0 - vX_[3484];
+ vX_[793] = vX_[793] + vX_[1790] * vX_[1008];
+ vX_[1104] = 0 - vX_[793];
+ vX_[1069] = (vX_[1104] * vX_[338] + vX_[1069] * vX_[347]) * 1 / vX_[313];
+ vX_[1104] = vX_[1522] * vX_[965] + vX_[1098] * vX_[326] + vX_[1042] * vX_[314] + vX_[763] * vX_[341] + vX_[1104] * vX_[500] + vX_[1069];
+ vX_[3446] = vX_[2994] + vX_[3001] + vX_[2950] - vX_[3446] - vX_[3455] + vX_[1207] * vX_[317] + vX_[686] * vX_[236];
+ vX_[3455] = vX_[3446] - vX_[1182];
+ vX_[686] = vX_[3455] * vX_[266] + vX_[1021] * vX_[238];
+ vX_[1207] = vX_[3455] * vX_[238] + vX_[1021] * vX_[265];
+ vX_[3446] = 0 - vX_[3446];
+ vX_[1098] = (vX_[3446] * vX_[325] + vX_[3274] * vX_[287] + vX_[1053] * vX_[278] + vX_[1098] * vX_[338] + vX_[1741] * vX_[347]) * 1 / vX_[313];
+ vX_[3446] = vX_[2347] * vX_[965] + vX_[3446] * vX_[326] + vX_[1098];
+ vX_[1741] = vX_[1107] * vX_[238] + vX_[3446] * vX_[266];
+ vX_[3274] = vX_[1107] * vX_[265] + vX_[3446] * vX_[238];
+ vX_[1032] = vX_[3485] - vX_[1032];
+ vX_[1098] = 0 - vX_[2347] * vX_[983] - vX_[1744] * vX_[951] - vX_[1726] * vX_[1015] - vX_[1371] * vX_[974] + vX_[1371] * vX_[965] - vX_[1522] * vX_[996] - vX_[2174] * vX_[989] - vX_[1098] * vX_[326] - vX_[2245] * vX_[314] - vX_[1022] * vX_[341] - vX_[1069] * vX_[500] - vX_[1470] * vX_[509];
+ vX_[1069] = 0 - vX_[1025] + vX_[1098];
+ vX_[1470] = vX_[1069] * vX_[266] + vX_[1075] * vX_[238];
+ vX_[2245] = vX_[1069] * vX_[238] + vX_[1075] * vX_[265];
+ vX_[1022] = vX_[1470] * vX_[238] + vX_[2245] * vX_[266];
+ vX_[2174] = vX_[1025] + vX_[1470] * vX_[266];
+ vX_[1522] = vX_[1025] + vX_[2245] * vX_[238];
+ vX_[1098] = vX_[793] + vX_[1025] + vX_[1098] - vX_[2174] - vX_[1522];
+ vX_[793] = 0 - vX_[1098];
+ vX_[1025] = vX_[3484] * vX_[266] + vX_[3485] * vX_[238];
+ vX_[1371] = vX_[1025] + vX_[793] * vX_[279];
+ vX_[1726] = 0 - vX_[1371];
+ vX_[1025] = 0 - (vX_[1032] * vX_[238] + vX_[1362] * vX_[265]) + vX_[1025];
+ vX_[1744] = vX_[3484] * vX_[238] + vX_[3485] * vX_[265];
+ vX_[2347] = vX_[1744] + vX_[1098] * vX_[283];
+ vX_[1053] = 0 - vX_[2347];
+ vX_[1042] = 0 - (vX_[1152] * vX_[238] + vX_[1104] * vX_[265]) + vX_[1152] * vX_[238] * 2.;
+ vX_[763] = 0 - vX_[1042];
+ vX_[1425] = vX_[1152] * vX_[266] + vX_[1104] * vX_[238] + vX_[1152] * vX_[265] * 2.;
+ vX_[3443] = 0 - vX_[1425];
+ vX_[995] = 0 - vX_[1522];
+ vX_[1744] = vX_[1032] * vX_[266] + vX_[1362] * vX_[238] + vX_[1744];
+ vX_[1055] = 0 - vX_[1022];
+ vX_[1162] = 0 - vX_[1522];
+ jac[392] = 0 - (vX_[1772] * vX_[976] + vX_[1731] * vX_[1006] + vX_[1021] * vX_[321] + vX_[1107] * vX_[271] + vX_[3485] * vX_[334] + vX_[777] * vX_[346] + vX_[1041] * vX_[275] + vX_[1103] * vX_[264] + vX_[1362] * vX_[282] + vX_[1075] * vX_[309] + vX_[1152] * vX_[554] + vX_[1104] * vX_[337] + vX_[1547] * vX_[957] + vX_[1313] * vX_[950] - (vX_[1900] * vX_[962] + vX_[1369] * vX_[846]) + (vX_[1790] * vX_[962] + vX_[1369] * vX_[937]) * 0.08 - (vX_[1706] * vX_[997] + vX_[3455] * vX_[323] + vX_[686] * vX_[322] + vX_[1207] * vX_[292] + vX_[3484] * vX_[281] + vX_[3389] * vX_[345] + vX_[3446] * vX_[277] + vX_[1741] * vX_[276] + vX_[3274] * vX_[270] + vX_[1032] * vX_[285] + vX_[1069] * vX_[311] + vX_[1152] * vX_[335] + vX_[1470] * vX_[261] + vX_[2245] * vX_[308] + (vX_[1022] * vX_[284] + vX_[793] * vX_[294] + vX_[2174] * vX_[280] + vX_[1726] * vX_[290] + (vX_[1025] + vX_[2174] * vX_[279]) * 4.027 + vX_[1053] * vX_[292] + vX_[763] * vX_[276] + vX_[3443] * vX_[275] + vX_[1022] * vX_[259] + vX_[2174] * vX_[310]) * 0.08 + vX_[1191] * vX_[840])) * vX_[3252] + (0 - (vX_[1772] * vX_[962] + vX_[1369] * vX_[957]) - (vX_[1900] * vX_[976] + vX_[1547] * vX_[846]) + (vX_[1790] * vX_[976] + vX_[1098] * vX_[293] + vX_[995] * vX_[284] + vX_[1371] * vX_[292] + vX_[2347] * vX_[291] + (0 - (vX_[1744] + vX_[1022] * vX_[279] + vX_[995] * vX_[283])) * 4.027 + vX_[1042] * vX_[270] + vX_[1425] * vX_[264] + vX_[1055] * vX_[272] + vX_[1162] * vX_[304] + vX_[1547] * vX_[937]) * 0.08 - (vX_[1706] * vX_[1006] + vX_[1731] * vX_[997] + vX_[3455] * vX_[321] + vX_[1021] * vX_[323] + vX_[686] * vX_[292] + vX_[1207] * vX_[320] + vX_[3484] * vX_[334] + vX_[1107] * vX_[277] + vX_[3389] * vX_[346] + vX_[3485] * vX_[281] + vX_[3446] * vX_[271] + vX_[777] * vX_[345] + vX_[1741] * vX_[275] + vX_[3274] * vX_[264] + vX_[1041] * vX_[276] + vX_[1103] * vX_[270] + vX_[1032] * vX_[282] + vX_[1362] * vX_[285] + vX_[1069] * vX_[309] + vX_[1075] * vX_[311] + vX_[1152] * vX_[336] + vX_[1152] * vX_[337] + vX_[1104] * vX_[335] + vX_[1470] * vX_[308] + vX_[2245] * vX_[305] + vX_[1191] * vX_[950] + vX_[1313] * vX_[840])) * vX_[376];
+ vX_[443] = vX_[422] * vX_[316] + vX_[1035] * vX_[235] + vX_[577] * vX_[331] + vX_[518] * vX_[317] + vX_[443] * vX_[236] + vX_[1557] * vX_[1012];
+ vX_[518] = 0 - vX_[443];
+ vX_[2007] = 0 - (vX_[3501] * vX_[329] + vX_[677] * vX_[316] + vX_[760] * vX_[235] + vX_[571] * vX_[236] + vX_[2007] * vX_[317] + vX_[460] * vX_[331] + vX_[1448] * vX_[1012] + vX_[1630] * vX_[1011]);
+ vX_[3476] = vX_[2834] + vX_[3476] * vX_[329] + vX_[760] * vX_[316];
+ vX_[576] = vX_[3476] + vX_[576] * vX_[236] + vX_[516] * vX_[331] + vX_[1630] * vX_[1012];
+ vX_[516] = 0 - vX_[576];
+ vX_[3454] = vX_[523] + vX_[3454] * vX_[236] + vX_[453] * vX_[331] * 2. + vX_[1630] * vX_[1008] + vX_[1545] * vX_[1012];
+ vX_[453] = 0 - vX_[3454];
+ vX_[405] = vX_[462] + vX_[470] * vX_[236] + vX_[405] * vX_[331] + vX_[1630] * vX_[1009] + vX_[1293] * vX_[1012];
+ vX_[462] = 0 - vX_[405];
+ vX_[470] = (vX_[516] * vX_[278] + vX_[453] * vX_[338] + vX_[462] * vX_[347]) * 1 / vX_[313];
+ vX_[516] = vX_[1217] * vX_[965] + vX_[518] * vX_[326] + vX_[2007] * vX_[314] + vX_[516] * vX_[341] + vX_[470];
+ vX_[3432] = vX_[574] + vX_[621] * vX_[317] + vX_[3432] * vX_[236] * 2. + vX_[1557] * vX_[1009];
+ vX_[574] = vX_[3432] * vX_[266] + vX_[405] * vX_[238];
+ vX_[523] = vX_[3432] * vX_[238] + vX_[405] * vX_[265];
+ vX_[3473] = vX_[575] + vX_[3473] * vX_[236] + vX_[572] * vX_[317] * 2. + vX_[1557] * vX_[1008];
+ vX_[3481] = 0 - (0 - (vX_[422] * vX_[329] + vX_[1048] * vX_[316]) + vX_[570] * vX_[331] + vX_[3420] * vX_[236] + vX_[3481] * vX_[317] + vX_[1557] * vX_[1011]);
+ vX_[3501] = vX_[2834] + vX_[3501] * vX_[316] + vX_[1109] * vX_[235];
+ vX_[691] = 0 - (vX_[3501] + vX_[691] * vX_[317] + vX_[468] * vX_[331] + vX_[1448] * vX_[1011]);
+ vX_[464] = 0 - (vX_[464] + vX_[515] * vX_[317] + vX_[621] * vX_[331] + vX_[1448] * vX_[1008] + vX_[1545] * vX_[1011]);
+ vX_[463] = vX_[459] + vX_[463] * vX_[317] + vX_[597] * vX_[331] * 2. + vX_[1448] * vX_[1009] + vX_[1293] * vX_[1011];
+ vX_[459] = 0 - vX_[463];
+ vX_[2007] = (vX_[691] * vX_[287] + vX_[2007] * vX_[278] + vX_[464] * vX_[338] + vX_[459] * vX_[347]) * 1 / vX_[313];
+ vX_[691] = 0 - vX_[3473] + vX_[1444] * vX_[965] + vX_[3481] * vX_[326] + vX_[691] * vX_[314] + vX_[2007];
+ vX_[1448] = 0 - vX_[3432];
+ vX_[621] = vX_[621] + vX_[1545] * vX_[1009] + vX_[1293] * vX_[1008];
+ vX_[515] = 0 - vX_[621];
+ vX_[597] = vX_[597] + vX_[1293] * vX_[1009];
+ vX_[468] = 0 - vX_[597];
+ vX_[1109] = vX_[468] * vX_[347] * 1 / vX_[313];
+ vX_[468] = vX_[1688] * vX_[965] + vX_[1448] * vX_[326] + vX_[459] * vX_[314] + vX_[462] * vX_[341] + vX_[515] * vX_[500] + vX_[468] * vX_[509] + vX_[1109];
+ vX_[459] = 0 - vX_[3473];
+ vX_[572] = vX_[572] + vX_[1545] * vX_[1008];
+ vX_[462] = 0 - vX_[572];
+ vX_[515] = (vX_[462] * vX_[338] + vX_[515] * vX_[347]) * 1 / vX_[313];
+ vX_[462] = vX_[1188] * vX_[965] + vX_[459] * vX_[326] + vX_[464] * vX_[314] + vX_[453] * vX_[341] + vX_[462] * vX_[500] + vX_[515];
+ vX_[3501] = vX_[3136] + vX_[3143] + vX_[2834] - vX_[3501] - vX_[3476] + vX_[579] * vX_[317] + vX_[612] * vX_[236];
+ vX_[3476] = vX_[3501] - vX_[576];
+ vX_[612] = vX_[3476] * vX_[266] + vX_[443] * vX_[238];
+ vX_[579] = vX_[3476] * vX_[238] + vX_[443] * vX_[265];
+ vX_[3501] = 0 - vX_[3501];
+ vX_[459] = (vX_[3501] * vX_[325] + vX_[3481] * vX_[287] + vX_[518] * vX_[278] + vX_[459] * vX_[338] + vX_[1448] * vX_[347]) * 1 / vX_[313];
+ vX_[3501] = vX_[1827] * vX_[965] + vX_[3501] * vX_[326] + vX_[459];
+ vX_[1448] = vX_[516] * vX_[238] + vX_[3501] * vX_[266];
+ vX_[3481] = vX_[516] * vX_[265] + vX_[3501] * vX_[238];
+ vX_[463] = vX_[3454] - vX_[463];
+ vX_[459] = 0 - vX_[1827] * vX_[983] - vX_[1444] * vX_[951] - vX_[1217] * vX_[1015] - vX_[684] * vX_[974] + vX_[684] * vX_[965] - vX_[1188] * vX_[996] - vX_[1688] * vX_[989] - vX_[459] * vX_[326] - vX_[2007] * vX_[314] - vX_[470] * vX_[341] - vX_[515] * vX_[500] - vX_[1109] * vX_[509];
+ vX_[515] = 0 - vX_[597] + vX_[459];
+ vX_[1109] = vX_[515] * vX_[266] + vX_[468] * vX_[238];
+ vX_[2007] = vX_[515] * vX_[238] + vX_[468] * vX_[265];
+ vX_[470] = vX_[1109] * vX_[238] + vX_[2007] * vX_[266];
+ vX_[1688] = vX_[597] + vX_[1109] * vX_[266];
+ vX_[1188] = vX_[597] + vX_[2007] * vX_[238];
+ vX_[459] = vX_[572] + vX_[597] + vX_[459] - vX_[1688] - vX_[1188];
+ vX_[572] = 0 - vX_[459];
+ vX_[597] = vX_[3473] * vX_[266] + vX_[3454] * vX_[238];
+ vX_[684] = vX_[597] + vX_[572] * vX_[279];
+ vX_[1217] = 0 - vX_[684];
+ vX_[597] = 0 - (vX_[463] * vX_[238] + vX_[691] * vX_[265]) + vX_[597];
+ vX_[1444] = vX_[3473] * vX_[238] + vX_[3454] * vX_[265];
+ vX_[1827] = vX_[1444] + vX_[459] * vX_[283];
+ vX_[518] = 0 - vX_[1827];
+ vX_[464] = 0 - (vX_[621] * vX_[238] + vX_[462] * vX_[265]) + vX_[621] * vX_[238] * 2.;
+ vX_[453] = 0 - vX_[464];
+ vX_[1048] = vX_[621] * vX_[266] + vX_[462] * vX_[238] + vX_[621] * vX_[265] * 2.;
+ vX_[422] = 0 - vX_[1048];
+ vX_[3420] = 0 - vX_[1188];
+ vX_[1444] = vX_[463] * vX_[266] + vX_[691] * vX_[238] + vX_[1444];
+ vX_[570] = 0 - vX_[470];
+ vX_[575] = 0 - vX_[1188];
+ jac[393] = 0 - (vX_[1630] * vX_[976] + vX_[1293] * vX_[1006] + vX_[443] * vX_[321] + vX_[516] * vX_[271] + vX_[3454] * vX_[334] + vX_[405] * vX_[346] + vX_[574] * vX_[275] + vX_[523] * vX_[264] + vX_[691] * vX_[282] + vX_[468] * vX_[309] + vX_[621] * vX_[554] + vX_[462] * vX_[337] + vX_[1155] * vX_[957] + vX_[656] * vX_[950] - (vX_[1557] * vX_[962] + vX_[519] * vX_[846]) + (vX_[1545] * vX_[962] + vX_[519] * vX_[937]) * 0.08 - (vX_[1294] * vX_[997] + vX_[3476] * vX_[323] + vX_[612] * vX_[322] + vX_[579] * vX_[292] + vX_[3473] * vX_[281] + vX_[3432] * vX_[345] + vX_[3501] * vX_[277] + vX_[1448] * vX_[276] + vX_[3481] * vX_[270] + vX_[463] * vX_[285] + vX_[515] * vX_[311] + vX_[621] * vX_[335] + vX_[1109] * vX_[261] + vX_[2007] * vX_[308] + (vX_[470] * vX_[284] + vX_[572] * vX_[294] + vX_[1688] * vX_[280] + vX_[1217] * vX_[290] + (vX_[597] + vX_[1688] * vX_[279]) * 4.027 + vX_[518] * vX_[292] + vX_[453] * vX_[276] + vX_[422] * vX_[275] + vX_[470] * vX_[259] + vX_[1688] * vX_[310]) * 0.08 + vX_[472] * vX_[840])) * vX_[3252] + (0 - (vX_[1630] * vX_[962] + vX_[519] * vX_[957]) - (vX_[1557] * vX_[976] + vX_[1155] * vX_[846]) + (vX_[1545] * vX_[976] + vX_[459] * vX_[293] + vX_[3420] * vX_[284] + vX_[684] * vX_[292] + vX_[1827] * vX_[291] + (0 - (vX_[1444] + vX_[470] * vX_[279] + vX_[3420] * vX_[283])) * 4.027 + vX_[464] * vX_[270] + vX_[1048] * vX_[264] + vX_[570] * vX_[272] + vX_[575] * vX_[304] + vX_[1155] * vX_[937]) * 0.08 - (vX_[1294] * vX_[1006] + vX_[1293] * vX_[997] + vX_[3476] * vX_[321] + vX_[443] * vX_[323] + vX_[612] * vX_[292] + vX_[579] * vX_[320] + vX_[3473] * vX_[334] + vX_[516] * vX_[277] + vX_[3432] * vX_[346] + vX_[3454] * vX_[281] + vX_[3501] * vX_[271] + vX_[405] * vX_[345] + vX_[1448] * vX_[275] + vX_[3481] * vX_[264] + vX_[574] * vX_[276] + vX_[523] * vX_[270] + vX_[463] * vX_[282] + vX_[691] * vX_[285] + vX_[515] * vX_[309] + vX_[468] * vX_[311] + vX_[621] * vX_[336] + vX_[621] * vX_[337] + vX_[462] * vX_[335] + vX_[1109] * vX_[308] + vX_[2007] * vX_[305] + vX_[472] * vX_[950] + vX_[656] * vX_[840])) * vX_[376];
+ vX_[3542] = vX_[3559] * vX_[316] + vX_[619] * vX_[235] + vX_[3521] * vX_[331] + vX_[3532] * vX_[317] + vX_[3542] * vX_[236] + vX_[1175] * vX_[1012];
+ vX_[3532] = 0 - vX_[3542];
+ vX_[1536] = 0 - (vX_[3560] * vX_[329] + vX_[3492] * vX_[316] + vX_[512] * vX_[235] + vX_[3518] * vX_[236] + vX_[1536] * vX_[317] + vX_[3543] * vX_[331] + vX_[1020] * vX_[1012] + vX_[1164] * vX_[1011]);
+ vX_[3561] = vX_[3213] + vX_[3561] * vX_[329] + vX_[512] * vX_[316];
+ vX_[3522] = vX_[3561] + vX_[3522] * vX_[236] + vX_[3533] * vX_[331] + vX_[1164] * vX_[1012];
+ vX_[3533] = 0 - vX_[3522];
+ vX_[3555] = vX_[3528] + vX_[3555] * vX_[236] + vX_[3545] * vX_[331] * 2. + vX_[1164] * vX_[1008] + vX_[1237] * vX_[1012];
+ vX_[3545] = 0 - vX_[3555];
+ vX_[3544] = vX_[3541] + vX_[3536] * vX_[236] + vX_[3544] * vX_[331] + vX_[1164] * vX_[1009] + vX_[581] * vX_[1012];
+ vX_[3541] = 0 - vX_[3544];
+ vX_[3536] = (vX_[3533] * vX_[278] + vX_[3545] * vX_[338] + vX_[3541] * vX_[347]) * 1 / vX_[313];
+ vX_[3533] = vX_[629] * vX_[965] + vX_[3532] * vX_[326] + vX_[1536] * vX_[314] + vX_[3533] * vX_[341] + vX_[3536];
+ vX_[3557] = vX_[3523] + vX_[3512] * vX_[317] + vX_[3557] * vX_[236] * 2. + vX_[1175] * vX_[1009];
+ vX_[3523] = vX_[3557] * vX_[266] + vX_[3544] * vX_[238];
+ vX_[3528] = vX_[3557] * vX_[238] + vX_[3544] * vX_[265];
+ vX_[3556] = vX_[3519] + vX_[3556] * vX_[236] + vX_[3514] * vX_[317] * 2. + vX_[1175] * vX_[1008];
+ vX_[3554] = 0 - (0 - (vX_[3559] * vX_[329] + vX_[434] * vX_[316]) + vX_[3525] * vX_[331] + vX_[3553] * vX_[236] + vX_[3554] * vX_[317] + vX_[1175] * vX_[1011]);
+ vX_[3560] = vX_[3213] + vX_[3560] * vX_[316] + vX_[469] * vX_[235];
+ vX_[715] = 0 - (vX_[3560] + vX_[715] * vX_[317] + vX_[3538] * vX_[331] + vX_[1020] * vX_[1011]);
+ vX_[3539] = 0 - (vX_[3539] + vX_[3530] * vX_[317] + vX_[3512] * vX_[331] + vX_[1020] * vX_[1008] + vX_[1237] * vX_[1011]);
+ vX_[3540] = vX_[3535] + vX_[3540] * vX_[317] + vX_[3516] * vX_[331] * 2. + vX_[1020] * vX_[1009] + vX_[581] * vX_[1011];
+ vX_[3535] = 0 - vX_[3540];
+ vX_[1536] = (vX_[715] * vX_[287] + vX_[1536] * vX_[278] + vX_[3539] * vX_[338] + vX_[3535] * vX_[347]) * 1 / vX_[313];
+ vX_[715] = 0 - vX_[3556] + vX_[756] * vX_[965] + vX_[3554] * vX_[326] + vX_[715] * vX_[314] + vX_[1536];
+ vX_[1020] = 0 - vX_[3557];
+ vX_[3512] = vX_[3512] + vX_[1237] * vX_[1009] + vX_[581] * vX_[1008];
+ vX_[3530] = 0 - vX_[3512];
+ vX_[3516] = vX_[3516] + vX_[581] * vX_[1009];
+ vX_[3538] = 0 - vX_[3516];
+ vX_[469] = vX_[3538] * vX_[347] * 1 / vX_[313];
+ vX_[3538] = vX_[1306] * vX_[965] + vX_[1020] * vX_[326] + vX_[3535] * vX_[314] + vX_[3541] * vX_[341] + vX_[3530] * vX_[500] + vX_[3538] * vX_[509] + vX_[469];
+ vX_[3535] = 0 - vX_[3556];
+ vX_[3514] = vX_[3514] + vX_[1237] * vX_[1008];
+ vX_[3541] = 0 - vX_[3514];
+ vX_[3530] = (vX_[3541] * vX_[338] + vX_[3530] * vX_[347]) * 1 / vX_[313];
+ vX_[3541] = vX_[1093] * vX_[965] + vX_[3535] * vX_[326] + vX_[3539] * vX_[314] + vX_[3545] * vX_[341] + vX_[3541] * vX_[500] + vX_[3530];
+ vX_[3560] = vX_[3288] + vX_[3295] + vX_[3213] - vX_[3560] - vX_[3561] + vX_[3520] * vX_[317] + vX_[3552] * vX_[236];
+ vX_[3561] = vX_[3560] - vX_[3522];
+ vX_[3552] = vX_[3561] * vX_[266] + vX_[3542] * vX_[238];
+ vX_[3520] = vX_[3561] * vX_[238] + vX_[3542] * vX_[265];
+ vX_[3560] = 0 - vX_[3560];
+ vX_[3535] = (vX_[3560] * vX_[325] + vX_[3554] * vX_[287] + vX_[3532] * vX_[278] + vX_[3535] * vX_[338] + vX_[1020] * vX_[347]) * 1 / vX_[313];
+ vX_[3560] = vX_[1568] * vX_[965] + vX_[3560] * vX_[326] + vX_[3535];
+ vX_[1020] = vX_[3533] * vX_[238] + vX_[3560] * vX_[266];
+ vX_[3554] = vX_[3533] * vX_[265] + vX_[3560] * vX_[238];
+ vX_[3540] = vX_[3555] - vX_[3540];
+ vX_[3535] = 0 - vX_[1568] * vX_[983] - vX_[756] * vX_[951] - vX_[629] * vX_[1015] - vX_[3474] * vX_[974] + vX_[3474] * vX_[965] - vX_[1093] * vX_[996] - vX_[1306] * vX_[989] - vX_[3535] * vX_[326] - vX_[1536] * vX_[314] - vX_[3536] * vX_[341] - vX_[3530] * vX_[500] - vX_[469] * vX_[509];
+ vX_[3530] = 0 - vX_[3516] + vX_[3535];
+ vX_[469] = vX_[3530] * vX_[266] + vX_[3538] * vX_[238];
+ vX_[1536] = vX_[3530] * vX_[238] + vX_[3538] * vX_[265];
+ vX_[3536] = vX_[469] * vX_[238] + vX_[1536] * vX_[266];
+ vX_[1306] = vX_[3516] + vX_[469] * vX_[266];
+ vX_[1093] = vX_[3516] + vX_[1536] * vX_[238];
+ vX_[3535] = vX_[3514] + vX_[3516] + vX_[3535] - vX_[1306] - vX_[1093];
+ vX_[3514] = 0 - vX_[3535];
+ vX_[3516] = vX_[3556] * vX_[266] + vX_[3555] * vX_[238];
+ vX_[3474] = vX_[3516] + vX_[3514] * vX_[279];
+ vX_[629] = 0 - vX_[3474];
+ vX_[3516] = 0 - (vX_[3540] * vX_[238] + vX_[715] * vX_[265]) + vX_[3516];
+ vX_[756] = vX_[3556] * vX_[238] + vX_[3555] * vX_[265];
+ vX_[1568] = vX_[756] + vX_[3535] * vX_[283];
+ vX_[3532] = 0 - vX_[1568];
+ vX_[3539] = 0 - (vX_[3512] * vX_[238] + vX_[3541] * vX_[265]) + vX_[3512] * vX_[238] * 2.;
+ vX_[3545] = 0 - vX_[3539];
+ vX_[434] = vX_[3512] * vX_[266] + vX_[3541] * vX_[238] + vX_[3512] * vX_[265] * 2.;
+ vX_[3559] = 0 - vX_[434];
+ vX_[3553] = 0 - vX_[1093];
+ vX_[756] = vX_[3540] * vX_[266] + vX_[715] * vX_[238] + vX_[756];
+ vX_[3525] = 0 - vX_[3536];
+ vX_[3519] = 0 - vX_[1093];
+ jac[394] = 0 - (vX_[1164] * vX_[976] + vX_[581] * vX_[1006] + vX_[3542] * vX_[321] + vX_[3533] * vX_[271] + vX_[3555] * vX_[334] + vX_[3544] * vX_[346] + vX_[3523] * vX_[275] + vX_[3528] * vX_[264] + vX_[715] * vX_[282] + vX_[3538] * vX_[309] + vX_[3512] * vX_[554] + vX_[3541] * vX_[337] + vX_[674] * vX_[957] + vX_[3425] * vX_[950] - (vX_[1175] * vX_[962] + vX_[706] * vX_[846]) + (vX_[1237] * vX_[962] + vX_[706] * vX_[937]) * 0.08 - (vX_[590] * vX_[997] + vX_[3561] * vX_[323] + vX_[3552] * vX_[322] + vX_[3520] * vX_[292] + vX_[3556] * vX_[281] + vX_[3557] * vX_[345] + vX_[3560] * vX_[277] + vX_[1020] * vX_[276] + vX_[3554] * vX_[270] + vX_[3540] * vX_[285] + vX_[3530] * vX_[311] + vX_[3512] * vX_[335] + vX_[469] * vX_[261] + vX_[1536] * vX_[308] + (vX_[3536] * vX_[284] + vX_[3514] * vX_[294] + vX_[1306] * vX_[280] + vX_[629] * vX_[290] + (vX_[3516] + vX_[1306] * vX_[279]) * 4.027 + vX_[3532] * vX_[292] + vX_[3545] * vX_[276] + vX_[3559] * vX_[275] + vX_[3536] * vX_[259] + vX_[1306] * vX_[310]) * 0.08 + vX_[3496] * vX_[840])) * vX_[3252] + (0 - (vX_[1164] * vX_[962] + vX_[706] * vX_[957]) - (vX_[1175] * vX_[976] + vX_[674] * vX_[846]) + (vX_[1237] * vX_[976] + vX_[3535] * vX_[293] + vX_[3553] * vX_[284] + vX_[3474] * vX_[292] + vX_[1568] * vX_[291] + (0 - (vX_[756] + vX_[3536] * vX_[279] + vX_[3553] * vX_[283])) * 4.027 + vX_[3539] * vX_[270] + vX_[434] * vX_[264] + vX_[3525] * vX_[272] + vX_[3519] * vX_[304] + vX_[674] * vX_[937]) * 0.08 - (vX_[590] * vX_[1006] + vX_[581] * vX_[997] + vX_[3561] * vX_[321] + vX_[3542] * vX_[323] + vX_[3552] * vX_[292] + vX_[3520] * vX_[320] + vX_[3556] * vX_[334] + vX_[3533] * vX_[277] + vX_[3557] * vX_[346] + vX_[3555] * vX_[281] + vX_[3560] * vX_[271] + vX_[3544] * vX_[345] + vX_[1020] * vX_[275] + vX_[3554] * vX_[264] + vX_[3523] * vX_[276] + vX_[3528] * vX_[270] + vX_[3540] * vX_[282] + vX_[715] * vX_[285] + vX_[3530] * vX_[309] + vX_[3538] * vX_[311] + vX_[3512] * vX_[336] + vX_[3512] * vX_[337] + vX_[3541] * vX_[335] + vX_[469] * vX_[308] + vX_[1536] * vX_[305] + vX_[3496] * vX_[950] + vX_[3425] * vX_[840])) * vX_[376];
+ vX_[3628] = vX_[3643] * vX_[316] + vX_[3515] * vX_[235] + vX_[3607] * vX_[331] + vX_[3618] * vX_[317] + vX_[3628] * vX_[236] + vX_[642] * vX_[1012];
+ vX_[3618] = 0 - vX_[3628];
+ vX_[501] = 0 - (vX_[3644] * vX_[329] + vX_[3588] * vX_[316] + vX_[3534] * vX_[235] + vX_[3604] * vX_[236] + vX_[501] * vX_[317] + vX_[3629] * vX_[331] + vX_[520] * vX_[1012] + vX_[623] * vX_[1011]);
+ vX_[3645] = vX_[1016] + vX_[3645] * vX_[329] + vX_[3534] * vX_[316];
+ vX_[3608] = vX_[3645] + vX_[3608] * vX_[236] + vX_[3619] * vX_[331] + vX_[623] * vX_[1012];
+ vX_[3619] = 0 - vX_[3608];
+ vX_[3639] = vX_[3614] + vX_[3639] * vX_[236] + vX_[3631] * vX_[331] * 2. + vX_[623] * vX_[1008] + vX_[622] * vX_[1012];
+ vX_[3631] = 0 - vX_[3639];
+ vX_[3630] = vX_[3627] + vX_[3622] * vX_[236] + vX_[3630] * vX_[331] + vX_[623] * vX_[1009] + vX_[352] * vX_[1012];
+ vX_[3627] = 0 - vX_[3630];
+ vX_[3622] = (vX_[3619] * vX_[278] + vX_[3631] * vX_[338] + vX_[3627] * vX_[347]) * 1 / vX_[313];
+ vX_[3619] = vX_[730] * vX_[965] + vX_[3618] * vX_[326] + vX_[501] * vX_[314] + vX_[3619] * vX_[341] + vX_[3622];
+ vX_[3641] = vX_[3609] + vX_[3598] * vX_[317] + vX_[3641] * vX_[236] * 2. + vX_[642] * vX_[1009];
+ vX_[3609] = vX_[3641] * vX_[266] + vX_[3630] * vX_[238];
+ vX_[1012] = vX_[3641] * vX_[238] + vX_[3630] * vX_[265];
+ vX_[3640] = vX_[3605] + vX_[3640] * vX_[236] + vX_[3600] * vX_[317] * 2. + vX_[642] * vX_[1008];
+ vX_[3638] = 0 - (0 - (vX_[3643] * vX_[329] + vX_[3550] * vX_[316]) + vX_[3611] * vX_[331] + vX_[3637] * vX_[236] + vX_[3638] * vX_[317] + vX_[642] * vX_[1011]);
+ vX_[3644] = vX_[1016] + vX_[3644] * vX_[316] + vX_[3537] * vX_[235];
+ vX_[3564] = 0 - (vX_[3644] + vX_[3564] * vX_[317] + vX_[3624] * vX_[331] + vX_[520] * vX_[1011]);
+ vX_[3625] = 0 - (vX_[3625] + vX_[3616] * vX_[317] + vX_[3598] * vX_[331] + vX_[520] * vX_[1008] + vX_[622] * vX_[1011]);
+ vX_[3626] = vX_[3621] + vX_[3626] * vX_[317] + vX_[3602] * vX_[331] * 2. + vX_[520] * vX_[1009] + vX_[352] * vX_[1011];
+ vX_[3621] = 0 - vX_[3626];
+ vX_[501] = (vX_[3564] * vX_[287] + vX_[501] * vX_[278] + vX_[3625] * vX_[338] + vX_[3621] * vX_[347]) * 1 / vX_[313];
+ vX_[3564] = 0 - vX_[3640] + vX_[514] * vX_[965] + vX_[3638] * vX_[326] + vX_[3564] * vX_[314] + vX_[501];
+ vX_[520] = 0 - vX_[3641];
+ vX_[3598] = vX_[3598] + vX_[622] * vX_[1009] + vX_[352] * vX_[1008];
+ vX_[1011] = 0 - vX_[3598];
+ vX_[3602] = vX_[3602] + vX_[352] * vX_[1009];
+ vX_[1009] = 0 - vX_[3602];
+ vX_[331] = vX_[1009] * vX_[347] * 1 / vX_[313];
+ vX_[1009] = vX_[3278] * vX_[965] + vX_[520] * vX_[326] + vX_[3621] * vX_[314] + vX_[3627] * vX_[341] + vX_[1011] * vX_[500] + vX_[1009] * vX_[509] + vX_[331];
+ vX_[3621] = 0 - vX_[3640];
+ vX_[3600] = vX_[3600] + vX_[622] * vX_[1008];
+ vX_[1008] = 0 - vX_[3600];
+ vX_[1011] = (vX_[1008] * vX_[338] + vX_[1011] * vX_[347]) * 1 / vX_[313];
+ vX_[1008] = vX_[3469] * vX_[965] + vX_[3621] * vX_[326] + vX_[3625] * vX_[314] + vX_[3631] * vX_[341] + vX_[1008] * vX_[500] + vX_[1011];
+ vX_[3644] = vX_[3439] + vX_[703] + vX_[1016] - vX_[3644] - vX_[3645] + vX_[3606] * vX_[317] + vX_[3636] * vX_[236];
+ vX_[3645] = vX_[3644] - vX_[3608];
+ vX_[3636] = vX_[3645] * vX_[266] + vX_[3628] * vX_[238];
+ vX_[3606] = vX_[3645] * vX_[238] + vX_[3628] * vX_[265];
+ vX_[3644] = 0 - vX_[3644];
+ vX_[3621] = (vX_[3644] * vX_[325] + vX_[3638] * vX_[287] + vX_[3618] * vX_[278] + vX_[3621] * vX_[338] + vX_[520] * vX_[347]) * 1 / vX_[313];
+ vX_[3644] = vX_[1208] * vX_[965] + vX_[3644] * vX_[326] + vX_[3621];
+ vX_[520] = vX_[3619] * vX_[238] + vX_[3644] * vX_[266];
+ vX_[3638] = vX_[3619] * vX_[265] + vX_[3644] * vX_[238];
+ vX_[3626] = vX_[3639] - vX_[3626];
+ vX_[3621] = 0 - vX_[1208] * vX_[983] - vX_[514] * vX_[951] - vX_[730] * vX_[1015] - vX_[3562] * vX_[974] + vX_[3562] * vX_[965] - vX_[3469] * vX_[996] - vX_[3278] * vX_[989] - vX_[3621] * vX_[326] - vX_[501] * vX_[314] - vX_[3622] * vX_[341] - vX_[1011] * vX_[500] - vX_[331] * vX_[509];
+ vX_[1011] = 0 - vX_[3602] + vX_[3621];
+ vX_[331] = vX_[1011] * vX_[266] + vX_[1009] * vX_[238];
+ vX_[501] = vX_[1011] * vX_[238] + vX_[1009] * vX_[265];
+ vX_[3622] = vX_[331] * vX_[238] + vX_[501] * vX_[266];
+ vX_[3278] = vX_[3602] + vX_[331] * vX_[266];
+ vX_[3469] = vX_[3602] + vX_[501] * vX_[238];
+ vX_[3621] = vX_[3600] + vX_[3602] + vX_[3621] - vX_[3278] - vX_[3469];
+ vX_[3600] = 0 - vX_[3621];
+ vX_[3602] = vX_[3640] * vX_[266] + vX_[3639] * vX_[238];
+ vX_[3562] = vX_[3602] + vX_[3600] * vX_[279];
+ vX_[730] = 0 - vX_[3562];
+ vX_[3602] = 0 - (vX_[3626] * vX_[238] + vX_[3564] * vX_[265]) + vX_[3602];
+ vX_[514] = vX_[3640] * vX_[238] + vX_[3639] * vX_[265];
+ vX_[1208] = vX_[514] + vX_[3621] * vX_[283];
+ vX_[974] = 0 - vX_[1208];
+ vX_[1015] = 0 - (vX_[3598] * vX_[238] + vX_[1008] * vX_[265]) + vX_[3598] * vX_[238] * 2.;
+ vX_[951] = 0 - vX_[1015];
+ vX_[983] = vX_[3598] * vX_[266] + vX_[1008] * vX_[238] + vX_[3598] * vX_[265] * 2.;
+ vX_[989] = 0 - vX_[983];
+ vX_[996] = 0 - vX_[3469];
+ vX_[514] = vX_[3626] * vX_[266] + vX_[3564] * vX_[238] + vX_[514];
+ vX_[965] = 0 - vX_[3622];
+ vX_[509] = 0 - vX_[3469];
+ jac[395] = 0 - (vX_[623] * vX_[976] + vX_[352] * vX_[1006] + vX_[3628] * vX_[321] + vX_[3619] * vX_[271] + vX_[3639] * vX_[334] + vX_[3630] * vX_[346] + vX_[3609] * vX_[275] + vX_[1012] * vX_[264] + vX_[3564] * vX_[282] + vX_[1009] * vX_[309] + vX_[3598] * vX_[554] + vX_[1008] * vX_[337] + vX_[3427] * vX_[957] + vX_[301] * vX_[950] - (vX_[642] * vX_[962] + vX_[3577] * vX_[846]) + (vX_[622] * vX_[962] + vX_[3577] * vX_[937]) * 0.08 - (vX_[635] * vX_[997] + vX_[3645] * vX_[323] + vX_[3636] * vX_[322] + vX_[3606] * vX_[292] + vX_[3640] * vX_[281] + vX_[3641] * vX_[345] + vX_[3644] * vX_[277] + vX_[520] * vX_[276] + vX_[3638] * vX_[270] + vX_[3626] * vX_[285] + vX_[1011] * vX_[311] + vX_[3598] * vX_[335] + vX_[331] * vX_[261] + vX_[501] * vX_[308] + (vX_[3622] * vX_[284] + vX_[3600] * vX_[294] + vX_[3278] * vX_[280] + vX_[730] * vX_[290] + (vX_[3602] + vX_[3278] * vX_[279]) * 4.027 + vX_[974] * vX_[292] + vX_[951] * vX_[276] + vX_[989] * vX_[275] + vX_[3622] * vX_[259] + vX_[3278] * vX_[310]) * 0.08 + vX_[3582] * vX_[840])) * vX_[3252] + (0 - (vX_[623] * vX_[962] + vX_[3577] * vX_[957]) - (vX_[642] * vX_[976] + vX_[3427] * vX_[846]) + (vX_[622] * vX_[976] + vX_[3621] * vX_[293] + vX_[996] * vX_[284] + vX_[3562] * vX_[292] + vX_[1208] * vX_[291] + (0 - (vX_[514] + vX_[3622] * vX_[279] + vX_[996] * vX_[283])) * 4.027 + vX_[1015] * vX_[270] + vX_[983] * vX_[264] + vX_[965] * vX_[272] + vX_[509] * vX_[304] + vX_[3427] * vX_[937]) * 0.08 - (vX_[635] * vX_[1006] + vX_[352] * vX_[997] + vX_[3645] * vX_[321] + vX_[3628] * vX_[323] + vX_[3636] * vX_[292] + vX_[3606] * vX_[320] + vX_[3640] * vX_[334] + vX_[3619] * vX_[277] + vX_[3641] * vX_[346] + vX_[3639] * vX_[281] + vX_[3644] * vX_[271] + vX_[3630] * vX_[345] + vX_[520] * vX_[275] + vX_[3638] * vX_[264] + vX_[3609] * vX_[276] + vX_[1012] * vX_[270] + vX_[3626] * vX_[282] + vX_[3564] * vX_[285] + vX_[1011] * vX_[309] + vX_[1009] * vX_[311] + vX_[3598] * vX_[336] + vX_[3598] * vX_[337] + vX_[1008] * vX_[335] + vX_[331] * vX_[308] + vX_[501] * vX_[305] + vX_[3582] * vX_[950] + vX_[301] * vX_[840])) * vX_[376];
+ vX_[782] = vX_[3185] + vX_[3253] * vX_[266] + vX_[782] * vX_[279] + vX_[513] * vX_[1003];
+ vX_[433] = vX_[3185] + vX_[3112] * vX_[238] + vX_[433] * vX_[283] + vX_[552] * vX_[1004];
+ vX_[3185] = vX_[782] - vX_[433];
+ vX_[3384] = vX_[3253] * vX_[238] + vX_[3112] * vX_[266] + vX_[517] * vX_[283] + vX_[3384] * vX_[279] + vX_[513] * vX_[1004] + vX_[552] * vX_[1003];
+ vX_[517] = vX_[3185] * vX_[239] + vX_[3384] * vX_[242];
+ vX_[3112] = vX_[3185] * vX_[241] + vX_[3384] * vX_[239];
+ vX_[782] = 0 - vX_[782];
+ vX_[3253] = 0 - vX_[3384];
+ vX_[3360] = vX_[3490] * vX_[266] + vX_[3225] * vX_[238] + vX_[3360] * vX_[279] + vX_[513] * vX_[1000] + vX_[3416] * vX_[1003];
+ vX_[996] = 0 - vX_[3360];
+ vX_[3043] = vX_[3490] * vX_[238] + vX_[3225] * vX_[265] + vX_[3043] * vX_[279] + vX_[513] * vX_[1001] + vX_[3388] * vX_[1003];
+ vX_[3490] = 0 - vX_[3043];
+ vX_[3225] = (vX_[782] * vX_[273] + vX_[3253] * vX_[260] + vX_[996] * vX_[269] + vX_[3490] * vX_[250]) * 1 / vX_[262];
+ vX_[782] = vX_[721] * vX_[981] + vX_[782] * vX_[274] + vX_[3225];
+ vX_[433] = 0 - vX_[433];
+ vX_[3120] = vX_[3116] * vX_[266] + vX_[3355] * vX_[238] + vX_[3120] * vX_[283] + vX_[552] * vX_[1000] + vX_[3416] * vX_[1004];
+ vX_[3600] = 0 - vX_[3120];
+ vX_[390] = vX_[3116] * vX_[238] + vX_[3355] * vX_[265] + vX_[390] * vX_[283] + vX_[552] * vX_[1001] + vX_[3388] * vX_[1004];
+ vX_[3116] = 0 - vX_[390];
+ vX_[3355] = (vX_[433] * vX_[260] + vX_[3600] * vX_[269] + vX_[3116] * vX_[250]) * 1 / vX_[262];
+ vX_[433] = vX_[3392] * vX_[981] + vX_[3253] * vX_[274] + vX_[433] * vX_[263] + vX_[3355];
+ vX_[3411] = vX_[768] + vX_[3314] * vX_[279] + vX_[3411] * vX_[283] * 2. + vX_[628] * vX_[1001] - vX_[433];
+ vX_[3351] = 0 - (vX_[3337] + vX_[3351] * vX_[283] + vX_[3470] * vX_[279] * 2. + vX_[628] * vX_[1000]) + vX_[782];
+ vX_[3470] = vX_[3470] + vX_[3416] * vX_[1000];
+ vX_[3495] = vX_[3495] + vX_[3388] * vX_[1001];
+ vX_[3337] = vX_[3470] - vX_[3495];
+ vX_[628] = 0 - vX_[3470];
+ vX_[3314] = vX_[3314] + vX_[3416] * vX_[1001] + vX_[3388] * vX_[1000];
+ vX_[768] = 0 - vX_[3314];
+ vX_[3253] = (vX_[628] * vX_[269] + vX_[768] * vX_[250]) * 1 / vX_[262];
+ vX_[628] = vX_[3414] * vX_[981] + vX_[996] * vX_[274] + vX_[3600] * vX_[263] + vX_[628] * vX_[306] + vX_[3253];
+ vX_[3600] = 0 - vX_[3495];
+ vX_[996] = vX_[3600] * vX_[250] * 1 / vX_[262];
+ vX_[3600] = vX_[3390] * vX_[981] + vX_[3490] * vX_[274] + vX_[3116] * vX_[263] + vX_[768] * vX_[306] + vX_[3600] * vX_[302] + vX_[996];
+ vX_[768] = 0 - vX_[3600];
+ vX_[3116] = vX_[3337] * vX_[239] + vX_[3314] * vX_[242];
+ vX_[3490] = vX_[3337] * vX_[241] + vX_[3314] * vX_[239];
+ vX_[3621] = vX_[3116] * vX_[241] + vX_[3490] * vX_[239];
+ vX_[501] = vX_[3495] + vX_[3116] * vX_[239];
+ vX_[331] = vX_[3495] + vX_[3490] * vX_[241];
+ vX_[996] = vX_[3470] + vX_[3495] + 0 - vX_[721] * vX_[1005] - vX_[3392] * vX_[959] - vX_[710] * vX_[998] + vX_[710] * vX_[981] - vX_[3414] * vX_[994] - vX_[3390] * vX_[991] - vX_[3225] * vX_[274] - vX_[3355] * vX_[263] - vX_[3253] * vX_[306] - vX_[996] * vX_[302] - vX_[501] - vX_[331];
+ vX_[3253] = 0 - vX_[996];
+ vX_[3495] = vX_[782] * vX_[239] + vX_[433] * vX_[242];
+ vX_[3470] = vX_[3495] + vX_[3253] * vX_[247];
+ vX_[3355] = vX_[782] * vX_[241] + vX_[433] * vX_[239];
+ vX_[3225] = vX_[3355] + vX_[996] * vX_[244];
+ vX_[3390] = sin(x_in[11]);
+ vX_[3414] = 0 - vX_[3600];
+ vX_[710] = 0 - vX_[331];
+ vX_[3392] = cos(x_in[11]);
+ jac[414] = 0 - (vX_[513] * vX_[990] + vX_[552] * vX_[988] + vX_[3416] * vX_[986] + vX_[3388] * vX_[985] + vX_[3185] * vX_[289] + vX_[3384] * vX_[288] + vX_[517] * -0.466187537174287 + vX_[3112] * 0.00185880198235362 + vX_[782] * vX_[254] + vX_[433] * vX_[258] + vX_[3120] * vX_[268] + vX_[3043] * vX_[240] + vX_[3360] * vX_[267] + vX_[390] * vX_[243] + (vX_[3120] * vX_[239] + vX_[3360] * vX_[241]) * -8.81e-05 + (vX_[3043] * vX_[239] + vX_[390] * vX_[242]) * 8.81e-05 + vX_[3411] * vX_[257] + vX_[3351] * vX_[253] + vX_[3337] * vX_[300] + vX_[628] * vX_[246] + vX_[3600] * vX_[249] + vX_[3314] * vX_[299] + vX_[768] * vX_[248] + vX_[628] * vX_[245] + vX_[3116] * vX_[296] + vX_[3490] * vX_[298] + (vX_[3621] * vX_[256] + vX_[3253] * vX_[251] + vX_[501] * vX_[252] + (0 - vX_[3470]) * 0.414812462825713 + (0 - (vX_[3411] * vX_[241] + vX_[3351] * vX_[239]) + vX_[3495] + vX_[501] * vX_[247]) * 0.881 + (0 - vX_[3225]) * 0.00185880198235362 + (0 - (vX_[768] * vX_[239] + vX_[628] * vX_[242] + (vX_[628] * vX_[241] + vX_[3600] * vX_[239]) * 2.)) * 8.81e-05 + vX_[3621] * 0.0004405 + vX_[501] * -0.2209548) * -0.35 + vX_[373] * vX_[969] + vX_[419] * vX_[958] + vX_[363] * vX_[963] + vX_[653] * vX_[960] + (vX_[748] * vX_[990] + vX_[373] * vX_[952]) * 0.35) * vX_[3390] + (vX_[513] * vX_[988] + vX_[3416] * vX_[985] + vX_[3185] * vX_[288] + vX_[517] * 0.00185880198235362 + vX_[3112] * -7.4114911576828e-06 + vX_[782] * vX_[258] + vX_[3043] * vX_[243] + vX_[3360] * vX_[268] + (vX_[3120] * vX_[242] + vX_[3360] * vX_[239]) * 8.81e-05 + vX_[3411] * vX_[253] + vX_[3337] * vX_[299] + vX_[628] * vX_[249] + vX_[3414] * vX_[245] + vX_[3116] * vX_[298] + vX_[3490] * vX_[297] + vX_[419] * vX_[969] + vX_[653] * vX_[963] - (vX_[552] * vX_[990] + vX_[373] * vX_[958]) + (vX_[748] * vX_[988] + vX_[996] * vX_[255] + vX_[710] * vX_[256] + vX_[3470] * 0.00185880198235362 + vX_[3225] * 0.880992588508842 + (0 - (vX_[3411] * vX_[239] + vX_[3351] * vX_[242] + vX_[3355] + vX_[3621] * vX_[247] + vX_[710] * vX_[244])) * 0.881 + (0 - (vX_[3414] * vX_[241] + vX_[628] * vX_[239]) + (vX_[628] * vX_[239] + vX_[3600] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[3621]) * -0.1104774 + (0 - vX_[331]) * 0.000881 + vX_[419] * vX_[952]) * 0.35 - (vX_[3388] * vX_[986] + vX_[3384] * vX_[289] + vX_[433] * vX_[254] + vX_[3120] * vX_[267] + vX_[390] * vX_[240] + (vX_[3043] * vX_[241] + vX_[390] * vX_[239]) * -8.81e-05 + vX_[3351] * vX_[257] + vX_[3600] * vX_[246] + vX_[3314] * vX_[300] + vX_[628] * vX_[248] + vX_[363] * vX_[960])) * vX_[3392];
+ vX_[3415] = vX_[2830] + vX_[2940] * vX_[266] + vX_[3415] * vX_[279] + vX_[355] * vX_[1003];
+ vX_[380] = vX_[2830] + vX_[2964] * vX_[238] + vX_[380] * vX_[283] + vX_[3277] * vX_[1004];
+ vX_[2830] = vX_[3415] - vX_[380];
+ vX_[2969] = vX_[2940] * vX_[238] + vX_[2964] * vX_[266] + vX_[360] * vX_[283] + vX_[2969] * vX_[279] + vX_[355] * vX_[1004] + vX_[3277] * vX_[1003];
+ vX_[360] = vX_[2830] * vX_[239] + vX_[2969] * vX_[242];
+ vX_[2964] = vX_[2830] * vX_[241] + vX_[2969] * vX_[239];
+ vX_[3415] = 0 - vX_[3415];
+ vX_[2940] = 0 - vX_[2969];
+ vX_[2900] = vX_[386] * vX_[266] + vX_[3067] * vX_[238] + vX_[2900] * vX_[279] + vX_[355] * vX_[1000] + vX_[3268] * vX_[1003];
+ vX_[710] = 0 - vX_[2900];
+ vX_[2680] = vX_[386] * vX_[238] + vX_[3067] * vX_[265] + vX_[2680] * vX_[279] + vX_[355] * vX_[1001] + vX_[742] * vX_[1003];
+ vX_[386] = 0 - vX_[2680];
+ vX_[3067] = (vX_[3415] * vX_[273] + vX_[2940] * vX_[260] + vX_[710] * vX_[269] + vX_[386] * vX_[250]) * 1 / vX_[262];
+ vX_[3415] = vX_[368] * vX_[981] + vX_[3415] * vX_[274] + vX_[3067];
+ vX_[380] = 0 - vX_[380];
+ vX_[2907] = vX_[2815] * vX_[266] + vX_[3066] * vX_[238] + vX_[2907] * vX_[283] + vX_[3277] * vX_[1000] + vX_[3268] * vX_[1004];
+ vX_[3414] = 0 - vX_[2907];
+ vX_[3121] = vX_[2815] * vX_[238] + vX_[3066] * vX_[265] + vX_[3121] * vX_[283] + vX_[3277] * vX_[1001] + vX_[742] * vX_[1004];
+ vX_[2815] = 0 - vX_[3121];
+ vX_[3066] = (vX_[380] * vX_[260] + vX_[3414] * vX_[269] + vX_[2815] * vX_[250]) * 1 / vX_[262];
+ vX_[380] = vX_[3264] * vX_[981] + vX_[2940] * vX_[274] + vX_[380] * vX_[263] + vX_[3066];
+ vX_[3020] = vX_[3417] + vX_[2827] * vX_[279] + vX_[3020] * vX_[283] * 2. + vX_[365] * vX_[1001] - vX_[380];
+ vX_[3092] = 0 - (vX_[3086] + vX_[3092] * vX_[283] + vX_[837] * vX_[279] * 2. + vX_[365] * vX_[1000]) + vX_[3415];
+ vX_[837] = vX_[837] + vX_[3268] * vX_[1000];
+ vX_[407] = vX_[407] + vX_[742] * vX_[1001];
+ vX_[3086] = vX_[837] - vX_[407];
+ vX_[365] = 0 - vX_[837];
+ vX_[2827] = vX_[2827] + vX_[3268] * vX_[1001] + vX_[742] * vX_[1000];
+ vX_[3417] = 0 - vX_[2827];
+ vX_[2940] = (vX_[365] * vX_[269] + vX_[3417] * vX_[250]) * 1 / vX_[262];
+ vX_[365] = vX_[359] * vX_[981] + vX_[710] * vX_[274] + vX_[3414] * vX_[263] + vX_[365] * vX_[306] + vX_[2940];
+ vX_[3414] = 0 - vX_[407];
+ vX_[710] = vX_[3414] * vX_[250] * 1 / vX_[262];
+ vX_[3414] = vX_[415] * vX_[981] + vX_[386] * vX_[274] + vX_[2815] * vX_[263] + vX_[3417] * vX_[306] + vX_[3414] * vX_[302] + vX_[710];
+ vX_[3417] = 0 - vX_[3414];
+ vX_[2815] = vX_[3086] * vX_[239] + vX_[2827] * vX_[242];
+ vX_[386] = vX_[3086] * vX_[241] + vX_[2827] * vX_[239];
+ vX_[3225] = vX_[2815] * vX_[241] + vX_[386] * vX_[239];
+ vX_[3355] = vX_[407] + vX_[2815] * vX_[239];
+ vX_[3470] = vX_[407] + vX_[386] * vX_[241];
+ vX_[710] = vX_[837] + vX_[407] + 0 - vX_[368] * vX_[1005] - vX_[3264] * vX_[959] - vX_[716] * vX_[998] + vX_[716] * vX_[981] - vX_[359] * vX_[994] - vX_[415] * vX_[991] - vX_[3067] * vX_[274] - vX_[3066] * vX_[263] - vX_[2940] * vX_[306] - vX_[710] * vX_[302] - vX_[3355] - vX_[3470];
+ vX_[2940] = 0 - vX_[710];
+ vX_[407] = vX_[3415] * vX_[239] + vX_[380] * vX_[242];
+ vX_[837] = vX_[407] + vX_[2940] * vX_[247];
+ vX_[3066] = vX_[3415] * vX_[241] + vX_[380] * vX_[239];
+ vX_[3067] = vX_[3066] + vX_[710] * vX_[244];
+ vX_[415] = 0 - vX_[3414];
+ vX_[359] = 0 - vX_[3470];
+ jac[415] = 0 - (vX_[355] * vX_[990] + vX_[3277] * vX_[988] + vX_[3268] * vX_[986] + vX_[742] * vX_[985] + vX_[2830] * vX_[289] + vX_[2969] * vX_[288] + vX_[360] * -0.466187537174287 + vX_[2964] * 0.00185880198235362 + vX_[3415] * vX_[254] + vX_[380] * vX_[258] + vX_[2907] * vX_[268] + vX_[2680] * vX_[240] + vX_[2900] * vX_[267] + vX_[3121] * vX_[243] + (vX_[2907] * vX_[239] + vX_[2900] * vX_[241]) * -8.81e-05 + (vX_[2680] * vX_[239] + vX_[3121] * vX_[242]) * 8.81e-05 + vX_[3020] * vX_[257] + vX_[3092] * vX_[253] + vX_[3086] * vX_[300] + vX_[365] * vX_[246] + vX_[3414] * vX_[249] + vX_[2827] * vX_[299] + vX_[3417] * vX_[248] + vX_[365] * vX_[245] + vX_[2815] * vX_[296] + vX_[386] * vX_[298] + (vX_[3225] * vX_[256] + vX_[2940] * vX_[251] + vX_[3355] * vX_[252] + (0 - vX_[837]) * 0.414812462825713 + (0 - (vX_[3020] * vX_[241] + vX_[3092] * vX_[239]) + vX_[407] + vX_[3355] * vX_[247]) * 0.881 + (0 - vX_[3067]) * 0.00185880198235362 + (0 - (vX_[3417] * vX_[239] + vX_[365] * vX_[242] + (vX_[365] * vX_[241] + vX_[3414] * vX_[239]) * 2.)) * 8.81e-05 + vX_[3225] * 0.0004405 + vX_[3355] * -0.2209548) * -0.35 + vX_[3232] * vX_[969] + vX_[649] * vX_[958] + vX_[3162] * vX_[963] + vX_[362] * vX_[960] + (vX_[416] * vX_[990] + vX_[3232] * vX_[952]) * 0.35) * vX_[3390] + (vX_[355] * vX_[988] + vX_[3268] * vX_[985] + vX_[2830] * vX_[288] + vX_[360] * 0.00185880198235362 + vX_[2964] * -7.4114911576828e-06 + vX_[3415] * vX_[258] + vX_[2680] * vX_[243] + vX_[2900] * vX_[268] + (vX_[2907] * vX_[242] + vX_[2900] * vX_[239]) * 8.81e-05 + vX_[3020] * vX_[253] + vX_[3086] * vX_[299] + vX_[365] * vX_[249] + vX_[415] * vX_[245] + vX_[2815] * vX_[298] + vX_[386] * vX_[297] + vX_[649] * vX_[969] + vX_[362] * vX_[963] - (vX_[3277] * vX_[990] + vX_[3232] * vX_[958]) + (vX_[416] * vX_[988] + vX_[710] * vX_[255] + vX_[359] * vX_[256] + vX_[837] * 0.00185880198235362 + vX_[3067] * 0.880992588508842 + (0 - (vX_[3020] * vX_[239] + vX_[3092] * vX_[242] + vX_[3066] + vX_[3225] * vX_[247] + vX_[359] * vX_[244])) * 0.881 + (0 - (vX_[415] * vX_[241] + vX_[365] * vX_[239]) + (vX_[365] * vX_[239] + vX_[3414] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[3225]) * -0.1104774 + (0 - vX_[3470]) * 0.000881 + vX_[649] * vX_[952]) * 0.35 - (vX_[742] * vX_[986] + vX_[2969] * vX_[289] + vX_[380] * vX_[254] + vX_[2907] * vX_[267] + vX_[3121] * vX_[240] + (vX_[2680] * vX_[241] + vX_[3121] * vX_[239]) * -8.81e-05 + vX_[3092] * vX_[257] + vX_[3414] * vX_[246] + vX_[2827] * vX_[300] + vX_[365] * vX_[248] + vX_[3162] * vX_[960])) * vX_[3392];
+ vX_[3060] = vX_[2538] + vX_[2383] * vX_[266] + vX_[3060] * vX_[279] + vX_[3354] * vX_[1003];
+ vX_[699] = vX_[2538] + vX_[2536] * vX_[238] + vX_[699] * vX_[283] + vX_[3122] * vX_[1004];
+ vX_[2538] = vX_[3060] - vX_[699];
+ vX_[2378] = vX_[2383] * vX_[238] + vX_[2536] * vX_[266] + vX_[2942] * vX_[283] + vX_[2378] * vX_[279] + vX_[3354] * vX_[1004] + vX_[3122] * vX_[1003];
+ vX_[2942] = vX_[2538] * vX_[239] + vX_[2378] * vX_[242];
+ vX_[2536] = vX_[2538] * vX_[241] + vX_[2378] * vX_[239];
+ vX_[3060] = 0 - vX_[3060];
+ vX_[2383] = 0 - vX_[2378];
+ vX_[2625] = vX_[3255] * vX_[266] + vX_[2524] * vX_[238] + vX_[2625] * vX_[279] + vX_[3354] * vX_[1000] + vX_[2978] * vX_[1003];
+ vX_[359] = 0 - vX_[2625];
+ vX_[2380] = vX_[3255] * vX_[238] + vX_[2524] * vX_[265] + vX_[2380] * vX_[279] + vX_[3354] * vX_[1001] + vX_[3113] * vX_[1003];
+ vX_[3255] = 0 - vX_[2380];
+ vX_[2524] = (vX_[3060] * vX_[273] + vX_[2383] * vX_[260] + vX_[359] * vX_[269] + vX_[3255] * vX_[250]) * 1 / vX_[262];
+ vX_[3060] = vX_[3349] * vX_[981] + vX_[3060] * vX_[274] + vX_[2524];
+ vX_[699] = 0 - vX_[699];
+ vX_[2523] = vX_[2527] * vX_[266] + vX_[2489] * vX_[238] + vX_[2523] * vX_[283] + vX_[3122] * vX_[1000] + vX_[2978] * vX_[1004];
+ vX_[415] = 0 - vX_[2523];
+ vX_[2891] = vX_[2527] * vX_[238] + vX_[2489] * vX_[265] + vX_[2891] * vX_[283] + vX_[3122] * vX_[1001] + vX_[3113] * vX_[1004];
+ vX_[2527] = 0 - vX_[2891];
+ vX_[2489] = (vX_[699] * vX_[260] + vX_[415] * vX_[269] + vX_[2527] * vX_[250]) * 1 / vX_[262];
+ vX_[699] = vX_[3114] * vX_[981] + vX_[2383] * vX_[274] + vX_[699] * vX_[263] + vX_[2489];
+ vX_[2653] = vX_[3236] + vX_[2519] * vX_[279] + vX_[2653] * vX_[283] * 2. + vX_[367] * vX_[1001] - vX_[699];
+ vX_[2376] = 0 - (vX_[2671] + vX_[2376] * vX_[283] + vX_[124] * vX_[279] * 2. + vX_[367] * vX_[1000]) + vX_[3060];
+ vX_[124] = vX_[124] + vX_[2978] * vX_[1000];
+ vX_[3111] = vX_[3111] + vX_[3113] * vX_[1001];
+ vX_[2671] = vX_[124] - vX_[3111];
+ vX_[367] = 0 - vX_[124];
+ vX_[2519] = vX_[2519] + vX_[2978] * vX_[1001] + vX_[3113] * vX_[1000];
+ vX_[3236] = 0 - vX_[2519];
+ vX_[2383] = (vX_[367] * vX_[269] + vX_[3236] * vX_[250]) * 1 / vX_[262];
+ vX_[367] = vX_[3063] * vX_[981] + vX_[359] * vX_[274] + vX_[415] * vX_[263] + vX_[367] * vX_[306] + vX_[2383];
+ vX_[415] = 0 - vX_[3111];
+ vX_[359] = vX_[415] * vX_[250] * 1 / vX_[262];
+ vX_[415] = vX_[3239] * vX_[981] + vX_[3255] * vX_[274] + vX_[2527] * vX_[263] + vX_[3236] * vX_[306] + vX_[415] * vX_[302] + vX_[359];
+ vX_[3236] = 0 - vX_[415];
+ vX_[2527] = vX_[2671] * vX_[239] + vX_[2519] * vX_[242];
+ vX_[3255] = vX_[2671] * vX_[241] + vX_[2519] * vX_[239];
+ vX_[3067] = vX_[2527] * vX_[241] + vX_[3255] * vX_[239];
+ vX_[3066] = vX_[3111] + vX_[2527] * vX_[239];
+ vX_[837] = vX_[3111] + vX_[3255] * vX_[241];
+ vX_[359] = vX_[124] + vX_[3111] + 0 - vX_[3349] * vX_[1005] - vX_[3114] * vX_[959] - vX_[3299] * vX_[998] + vX_[3299] * vX_[981] - vX_[3063] * vX_[994] - vX_[3239] * vX_[991] - vX_[2524] * vX_[274] - vX_[2489] * vX_[263] - vX_[2383] * vX_[306] - vX_[359] * vX_[302] - vX_[3066] - vX_[837];
+ vX_[2383] = 0 - vX_[359];
+ vX_[3111] = vX_[3060] * vX_[239] + vX_[699] * vX_[242];
+ vX_[124] = vX_[3111] + vX_[2383] * vX_[247];
+ vX_[2489] = vX_[3060] * vX_[241] + vX_[699] * vX_[239];
+ vX_[2524] = vX_[2489] + vX_[359] * vX_[244];
+ vX_[3239] = 0 - vX_[415];
+ vX_[3063] = 0 - vX_[837];
+ jac[416] = 0 - (vX_[3354] * vX_[990] + vX_[3122] * vX_[988] + vX_[2978] * vX_[986] + vX_[3113] * vX_[985] + vX_[2538] * vX_[289] + vX_[2378] * vX_[288] + vX_[2942] * -0.466187537174287 + vX_[2536] * 0.00185880198235362 + vX_[3060] * vX_[254] + vX_[699] * vX_[258] + vX_[2523] * vX_[268] + vX_[2380] * vX_[240] + vX_[2625] * vX_[267] + vX_[2891] * vX_[243] + (vX_[2523] * vX_[239] + vX_[2625] * vX_[241]) * -8.81e-05 + (vX_[2380] * vX_[239] + vX_[2891] * vX_[242]) * 8.81e-05 + vX_[2653] * vX_[257] + vX_[2376] * vX_[253] + vX_[2671] * vX_[300] + vX_[367] * vX_[246] + vX_[415] * vX_[249] + vX_[2519] * vX_[299] + vX_[3236] * vX_[248] + vX_[367] * vX_[245] + vX_[2527] * vX_[296] + vX_[3255] * vX_[298] + (vX_[3067] * vX_[256] + vX_[2383] * vX_[251] + vX_[3066] * vX_[252] + (0 - vX_[124]) * 0.414812462825713 + (0 - (vX_[2653] * vX_[241] + vX_[2376] * vX_[239]) + vX_[3111] + vX_[3066] * vX_[247]) * 0.881 + (0 - vX_[2524]) * 0.00185880198235362 + (0 - (vX_[3236] * vX_[239] + vX_[367] * vX_[242] + (vX_[367] * vX_[241] + vX_[415] * vX_[239]) * 2.)) * 8.81e-05 + vX_[3067] * 0.0004405 + vX_[3066] * -0.2209548) * -0.35 + vX_[2794] * vX_[969] + vX_[3099] * vX_[958] + vX_[2673] * vX_[963] + vX_[736] * vX_[960] + (vX_[3095] * vX_[990] + vX_[2794] * vX_[952]) * 0.35) * vX_[3390] + (vX_[3354] * vX_[988] + vX_[2978] * vX_[985] + vX_[2538] * vX_[288] + vX_[2942] * 0.00185880198235362 + vX_[2536] * -7.4114911576828e-06 + vX_[3060] * vX_[258] + vX_[2380] * vX_[243] + vX_[2625] * vX_[268] + (vX_[2523] * vX_[242] + vX_[2625] * vX_[239]) * 8.81e-05 + vX_[2653] * vX_[253] + vX_[2671] * vX_[299] + vX_[367] * vX_[249] + vX_[3239] * vX_[245] + vX_[2527] * vX_[298] + vX_[3255] * vX_[297] + vX_[3099] * vX_[969] + vX_[736] * vX_[963] - (vX_[3122] * vX_[990] + vX_[2794] * vX_[958]) + (vX_[3095] * vX_[988] + vX_[359] * vX_[255] + vX_[3063] * vX_[256] + vX_[124] * 0.00185880198235362 + vX_[2524] * 0.880992588508842 + (0 - (vX_[2653] * vX_[239] + vX_[2376] * vX_[242] + vX_[2489] + vX_[3067] * vX_[247] + vX_[3063] * vX_[244])) * 0.881 + (0 - (vX_[3239] * vX_[241] + vX_[367] * vX_[239]) + (vX_[367] * vX_[239] + vX_[415] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[3067]) * -0.1104774 + (0 - vX_[837]) * 0.000881 + vX_[3099] * vX_[952]) * 0.35 - (vX_[3113] * vX_[986] + vX_[2378] * vX_[289] + vX_[699] * vX_[254] + vX_[2523] * vX_[267] + vX_[2891] * vX_[240] + (vX_[2380] * vX_[241] + vX_[2891] * vX_[239]) * -8.81e-05 + vX_[2376] * vX_[257] + vX_[415] * vX_[246] + vX_[2519] * vX_[300] + vX_[367] * vX_[248] + vX_[2673] * vX_[960])) * vX_[3392];
+ vX_[2901] = vX_[2344] + vX_[2159] * vX_[266] + vX_[2901] * vX_[279] + vX_[2965] * vX_[1003];
+ vX_[461] = vX_[2344] + vX_[2295] * vX_[238] + vX_[461] * vX_[283] + vX_[3056] * vX_[1004];
+ vX_[2344] = vX_[2901] - vX_[461];
+ vX_[2346] = vX_[2159] * vX_[238] + vX_[2295] * vX_[266] + vX_[2093] * vX_[283] + vX_[2346] * vX_[279] + vX_[2965] * vX_[1004] + vX_[3056] * vX_[1003];
+ vX_[2093] = vX_[2344] * vX_[239] + vX_[2346] * vX_[242];
+ vX_[2295] = vX_[2344] * vX_[241] + vX_[2346] * vX_[239];
+ vX_[2901] = 0 - vX_[2901];
+ vX_[2159] = 0 - vX_[2346];
+ vX_[2176] = vX_[2971] * vX_[266] + vX_[2340] * vX_[238] + vX_[2176] * vX_[279] + vX_[2965] * vX_[1000] + vX_[2741] * vX_[1003];
+ vX_[3063] = 0 - vX_[2176];
+ vX_[2081] = vX_[2971] * vX_[238] + vX_[2340] * vX_[265] + vX_[2081] * vX_[279] + vX_[2965] * vX_[1001] + vX_[2755] * vX_[1003];
+ vX_[2971] = 0 - vX_[2081];
+ vX_[2340] = (vX_[2901] * vX_[273] + vX_[2159] * vX_[260] + vX_[3063] * vX_[269] + vX_[2971] * vX_[250]) * 1 / vX_[262];
+ vX_[2901] = vX_[3062] * vX_[981] + vX_[2901] * vX_[274] + vX_[2340];
+ vX_[461] = 0 - vX_[461];
+ vX_[2095] = vX_[1910] * vX_[266] + vX_[2305] * vX_[238] + vX_[2095] * vX_[283] + vX_[3056] * vX_[1000] + vX_[2741] * vX_[1004];
+ vX_[3239] = 0 - vX_[2095];
+ vX_[2624] = vX_[1910] * vX_[238] + vX_[2305] * vX_[265] + vX_[2624] * vX_[283] + vX_[3056] * vX_[1001] + vX_[2755] * vX_[1004];
+ vX_[1910] = 0 - vX_[2624];
+ vX_[2305] = (vX_[461] * vX_[260] + vX_[3239] * vX_[269] + vX_[1910] * vX_[250]) * 1 / vX_[262];
+ vX_[461] = vX_[3097] * vX_[981] + vX_[2159] * vX_[274] + vX_[461] * vX_[263] + vX_[2305];
+ vX_[2259] = vX_[2811] + vX_[2319] * vX_[279] + vX_[2259] * vX_[283] * 2. + vX_[3198] * vX_[1001] - vX_[461];
+ vX_[2210] = 0 - (vX_[2309] + vX_[2210] * vX_[283] + vX_[3228] * vX_[279] * 2. + vX_[3198] * vX_[1000]) + vX_[2901];
+ vX_[3228] = vX_[3228] + vX_[2741] * vX_[1000];
+ vX_[2530] = vX_[2530] + vX_[2755] * vX_[1001];
+ vX_[2309] = vX_[3228] - vX_[2530];
+ vX_[3198] = 0 - vX_[3228];
+ vX_[2319] = vX_[2319] + vX_[2741] * vX_[1001] + vX_[2755] * vX_[1000];
+ vX_[2811] = 0 - vX_[2319];
+ vX_[2159] = (vX_[3198] * vX_[269] + vX_[2811] * vX_[250]) * 1 / vX_[262];
+ vX_[3198] = vX_[2761] * vX_[981] + vX_[3063] * vX_[274] + vX_[3239] * vX_[263] + vX_[3198] * vX_[306] + vX_[2159];
+ vX_[3239] = 0 - vX_[2530];
+ vX_[3063] = vX_[3239] * vX_[250] * 1 / vX_[262];
+ vX_[3239] = vX_[2601] * vX_[981] + vX_[2971] * vX_[274] + vX_[1910] * vX_[263] + vX_[2811] * vX_[306] + vX_[3239] * vX_[302] + vX_[3063];
+ vX_[2811] = 0 - vX_[3239];
+ vX_[1910] = vX_[2309] * vX_[239] + vX_[2319] * vX_[242];
+ vX_[2971] = vX_[2309] * vX_[241] + vX_[2319] * vX_[239];
+ vX_[2524] = vX_[1910] * vX_[241] + vX_[2971] * vX_[239];
+ vX_[2489] = vX_[2530] + vX_[1910] * vX_[239];
+ vX_[124] = vX_[2530] + vX_[2971] * vX_[241];
+ vX_[3063] = vX_[3228] + vX_[2530] + 0 - vX_[3062] * vX_[1005] - vX_[3097] * vX_[959] - vX_[3065] * vX_[998] + vX_[3065] * vX_[981] - vX_[2761] * vX_[994] - vX_[2601] * vX_[991] - vX_[2340] * vX_[274] - vX_[2305] * vX_[263] - vX_[2159] * vX_[306] - vX_[3063] * vX_[302] - vX_[2489] - vX_[124];
+ vX_[2159] = 0 - vX_[3063];
+ vX_[2530] = vX_[2901] * vX_[239] + vX_[461] * vX_[242];
+ vX_[3228] = vX_[2530] + vX_[2159] * vX_[247];
+ vX_[2305] = vX_[2901] * vX_[241] + vX_[461] * vX_[239];
+ vX_[2340] = vX_[2305] + vX_[3063] * vX_[244];
+ vX_[2601] = 0 - vX_[3239];
+ vX_[2761] = 0 - vX_[124];
+ jac[417] = 0 - (vX_[2965] * vX_[990] + vX_[3056] * vX_[988] + vX_[2741] * vX_[986] + vX_[2755] * vX_[985] + vX_[2344] * vX_[289] + vX_[2346] * vX_[288] + vX_[2093] * -0.466187537174287 + vX_[2295] * 0.00185880198235362 + vX_[2901] * vX_[254] + vX_[461] * vX_[258] + vX_[2095] * vX_[268] + vX_[2081] * vX_[240] + vX_[2176] * vX_[267] + vX_[2624] * vX_[243] + (vX_[2095] * vX_[239] + vX_[2176] * vX_[241]) * -8.81e-05 + (vX_[2081] * vX_[239] + vX_[2624] * vX_[242]) * 8.81e-05 + vX_[2259] * vX_[257] + vX_[2210] * vX_[253] + vX_[2309] * vX_[300] + vX_[3198] * vX_[246] + vX_[3239] * vX_[249] + vX_[2319] * vX_[299] + vX_[2811] * vX_[248] + vX_[3198] * vX_[245] + vX_[1910] * vX_[296] + vX_[2971] * vX_[298] + (vX_[2524] * vX_[256] + vX_[2159] * vX_[251] + vX_[2489] * vX_[252] + (0 - vX_[3228]) * 0.414812462825713 + (0 - (vX_[2259] * vX_[241] + vX_[2210] * vX_[239]) + vX_[2530] + vX_[2489] * vX_[247]) * 0.881 + (0 - vX_[2340]) * 0.00185880198235362 + (0 - (vX_[2811] * vX_[239] + vX_[3198] * vX_[242] + (vX_[3198] * vX_[241] + vX_[3239] * vX_[239]) * 2.)) * 8.81e-05 + vX_[2524] * 0.0004405 + vX_[2489] * -0.2209548) * -0.35 + vX_[2456] * vX_[969] + vX_[2679] * vX_[958] + vX_[2411] * vX_[963] + vX_[3094] * vX_[960] + (vX_[2705] * vX_[990] + vX_[2456] * vX_[952]) * 0.35) * vX_[3390] + (vX_[2965] * vX_[988] + vX_[2741] * vX_[985] + vX_[2344] * vX_[288] + vX_[2093] * 0.00185880198235362 + vX_[2295] * -7.4114911576828e-06 + vX_[2901] * vX_[258] + vX_[2081] * vX_[243] + vX_[2176] * vX_[268] + (vX_[2095] * vX_[242] + vX_[2176] * vX_[239]) * 8.81e-05 + vX_[2259] * vX_[253] + vX_[2309] * vX_[299] + vX_[3198] * vX_[249] + vX_[2601] * vX_[245] + vX_[1910] * vX_[298] + vX_[2971] * vX_[297] + vX_[2679] * vX_[969] + vX_[3094] * vX_[963] - (vX_[3056] * vX_[990] + vX_[2456] * vX_[958]) + (vX_[2705] * vX_[988] + vX_[3063] * vX_[255] + vX_[2761] * vX_[256] + vX_[3228] * 0.00185880198235362 + vX_[2340] * 0.880992588508842 + (0 - (vX_[2259] * vX_[239] + vX_[2210] * vX_[242] + vX_[2305] + vX_[2524] * vX_[247] + vX_[2761] * vX_[244])) * 0.881 + (0 - (vX_[2601] * vX_[241] + vX_[3198] * vX_[239]) + (vX_[3198] * vX_[239] + vX_[3239] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[2524]) * -0.1104774 + (0 - vX_[124]) * 0.000881 + vX_[2679] * vX_[952]) * 0.35 - (vX_[2755] * vX_[986] + vX_[2346] * vX_[289] + vX_[461] * vX_[254] + vX_[2095] * vX_[267] + vX_[2624] * vX_[240] + (vX_[2081] * vX_[241] + vX_[2624] * vX_[239]) * -8.81e-05 + vX_[2210] * vX_[257] + vX_[3239] * vX_[246] + vX_[2319] * vX_[300] + vX_[3198] * vX_[248] + vX_[2411] * vX_[960])) * vX_[3392];
+ vX_[2516] = vX_[2024] + vX_[1611] * vX_[266] + vX_[2516] * vX_[279] + vX_[2669] * vX_[1003];
+ vX_[3050] = vX_[2024] + vX_[2023] * vX_[238] + vX_[3050] * vX_[283] + vX_[2615] * vX_[1004];
+ vX_[2024] = vX_[2516] - vX_[3050];
+ vX_[2034] = vX_[1611] * vX_[238] + vX_[2023] * vX_[266] + vX_[2010] * vX_[283] + vX_[2034] * vX_[279] + vX_[2669] * vX_[1004] + vX_[2615] * vX_[1003];
+ vX_[2010] = vX_[2024] * vX_[239] + vX_[2034] * vX_[242];
+ vX_[2023] = vX_[2024] * vX_[241] + vX_[2034] * vX_[239];
+ vX_[2516] = 0 - vX_[2516];
+ vX_[1611] = 0 - vX_[2034];
+ vX_[1786] = vX_[2613] * vX_[266] + vX_[1930] * vX_[238] + vX_[1786] * vX_[279] + vX_[2669] * vX_[1000] + vX_[2472] * vX_[1003];
+ vX_[2761] = 0 - vX_[1786];
+ vX_[783] = vX_[2613] * vX_[238] + vX_[1930] * vX_[265] + vX_[783] * vX_[279] + vX_[2669] * vX_[1001] + vX_[2462] * vX_[1003];
+ vX_[2613] = 0 - vX_[783];
+ vX_[1930] = (vX_[2516] * vX_[273] + vX_[1611] * vX_[260] + vX_[2761] * vX_[269] + vX_[2613] * vX_[250]) * 1 / vX_[262];
+ vX_[2516] = vX_[2466] * vX_[981] + vX_[2516] * vX_[274] + vX_[1930];
+ vX_[3050] = 0 - vX_[3050];
+ vX_[1795] = vX_[1716] * vX_[266] + vX_[2054] * vX_[238] + vX_[1795] * vX_[283] + vX_[2615] * vX_[1000] + vX_[2472] * vX_[1004];
+ vX_[2601] = 0 - vX_[1795];
+ vX_[2048] = vX_[1716] * vX_[238] + vX_[2054] * vX_[265] + vX_[2048] * vX_[283] + vX_[2615] * vX_[1001] + vX_[2462] * vX_[1004];
+ vX_[1716] = 0 - vX_[2048];
+ vX_[2054] = (vX_[3050] * vX_[260] + vX_[2601] * vX_[269] + vX_[1716] * vX_[250]) * 1 / vX_[262];
+ vX_[3050] = vX_[2449] * vX_[981] + vX_[1611] * vX_[274] + vX_[3050] * vX_[263] + vX_[2054];
+ vX_[1931] = vX_[2623] + vX_[1937] * vX_[279] + vX_[1931] * vX_[283] * 2. + vX_[2757] * vX_[1001] - vX_[3050];
+ vX_[1936] = 0 - (vX_[1973] + vX_[1936] * vX_[283] + vX_[2821] * vX_[279] * 2. + vX_[2757] * vX_[1000]) + vX_[2516];
+ vX_[2821] = vX_[2821] + vX_[2472] * vX_[1000];
+ vX_[2498] = vX_[2498] + vX_[2462] * vX_[1001];
+ vX_[1973] = vX_[2821] - vX_[2498];
+ vX_[2757] = 0 - vX_[2821];
+ vX_[1937] = vX_[1937] + vX_[2472] * vX_[1001] + vX_[2462] * vX_[1000];
+ vX_[2623] = 0 - vX_[1937];
+ vX_[1611] = (vX_[2757] * vX_[269] + vX_[2623] * vX_[250]) * 1 / vX_[262];
+ vX_[2757] = vX_[2468] * vX_[981] + vX_[2761] * vX_[274] + vX_[2601] * vX_[263] + vX_[2757] * vX_[306] + vX_[1611];
+ vX_[2601] = 0 - vX_[2498];
+ vX_[2761] = vX_[2601] * vX_[250] * 1 / vX_[262];
+ vX_[2601] = vX_[2370] * vX_[981] + vX_[2613] * vX_[274] + vX_[1716] * vX_[263] + vX_[2623] * vX_[306] + vX_[2601] * vX_[302] + vX_[2761];
+ vX_[2623] = 0 - vX_[2601];
+ vX_[1716] = vX_[1973] * vX_[239] + vX_[1937] * vX_[242];
+ vX_[2613] = vX_[1973] * vX_[241] + vX_[1937] * vX_[239];
+ vX_[2340] = vX_[1716] * vX_[241] + vX_[2613] * vX_[239];
+ vX_[2305] = vX_[2498] + vX_[1716] * vX_[239];
+ vX_[3228] = vX_[2498] + vX_[2613] * vX_[241];
+ vX_[2761] = vX_[2821] + vX_[2498] + 0 - vX_[2466] * vX_[1005] - vX_[2449] * vX_[959] - vX_[2386] * vX_[998] + vX_[2386] * vX_[981] - vX_[2468] * vX_[994] - vX_[2370] * vX_[991] - vX_[1930] * vX_[274] - vX_[2054] * vX_[263] - vX_[1611] * vX_[306] - vX_[2761] * vX_[302] - vX_[2305] - vX_[3228];
+ vX_[1611] = 0 - vX_[2761];
+ vX_[2498] = vX_[2516] * vX_[239] + vX_[3050] * vX_[242];
+ vX_[2821] = vX_[2498] + vX_[1611] * vX_[247];
+ vX_[2054] = vX_[2516] * vX_[241] + vX_[3050] * vX_[239];
+ vX_[1930] = vX_[2054] + vX_[2761] * vX_[244];
+ vX_[2370] = 0 - vX_[2601];
+ vX_[2468] = 0 - vX_[3228];
+ jac[418] = 0 - (vX_[2669] * vX_[990] + vX_[2615] * vX_[988] + vX_[2472] * vX_[986] + vX_[2462] * vX_[985] + vX_[2024] * vX_[289] + vX_[2034] * vX_[288] + vX_[2010] * -0.466187537174287 + vX_[2023] * 0.00185880198235362 + vX_[2516] * vX_[254] + vX_[3050] * vX_[258] + vX_[1795] * vX_[268] + vX_[783] * vX_[240] + vX_[1786] * vX_[267] + vX_[2048] * vX_[243] + (vX_[1795] * vX_[239] + vX_[1786] * vX_[241]) * -8.81e-05 + (vX_[783] * vX_[239] + vX_[2048] * vX_[242]) * 8.81e-05 + vX_[1931] * vX_[257] + vX_[1936] * vX_[253] + vX_[1973] * vX_[300] + vX_[2757] * vX_[246] + vX_[2601] * vX_[249] + vX_[1937] * vX_[299] + vX_[2623] * vX_[248] + vX_[2757] * vX_[245] + vX_[1716] * vX_[296] + vX_[2613] * vX_[298] + (vX_[2340] * vX_[256] + vX_[1611] * vX_[251] + vX_[2305] * vX_[252] + (0 - vX_[2821]) * 0.414812462825713 + (0 - (vX_[1931] * vX_[241] + vX_[1936] * vX_[239]) + vX_[2498] + vX_[2305] * vX_[247]) * 0.881 + (0 - vX_[1930]) * 0.00185880198235362 + (0 - (vX_[2623] * vX_[239] + vX_[2757] * vX_[242] + (vX_[2757] * vX_[241] + vX_[2601] * vX_[239]) * 2.)) * 8.81e-05 + vX_[2340] * 0.0004405 + vX_[2305] * -0.2209548) * -0.35 + vX_[2031] * vX_[969] + vX_[2496] * vX_[958] + vX_[1753] * vX_[963] + vX_[2674] * vX_[960] + (vX_[2503] * vX_[990] + vX_[2031] * vX_[952]) * 0.35) * vX_[3390] + (vX_[2669] * vX_[988] + vX_[2472] * vX_[985] + vX_[2024] * vX_[288] + vX_[2010] * 0.00185880198235362 + vX_[2023] * -7.4114911576828e-06 + vX_[2516] * vX_[258] + vX_[783] * vX_[243] + vX_[1786] * vX_[268] + (vX_[1795] * vX_[242] + vX_[1786] * vX_[239]) * 8.81e-05 + vX_[1931] * vX_[253] + vX_[1973] * vX_[299] + vX_[2757] * vX_[249] + vX_[2370] * vX_[245] + vX_[1716] * vX_[298] + vX_[2613] * vX_[297] + vX_[2496] * vX_[969] + vX_[2674] * vX_[963] - (vX_[2615] * vX_[990] + vX_[2031] * vX_[958]) + (vX_[2503] * vX_[988] + vX_[2761] * vX_[255] + vX_[2468] * vX_[256] + vX_[2821] * 0.00185880198235362 + vX_[1930] * 0.880992588508842 + (0 - (vX_[1931] * vX_[239] + vX_[1936] * vX_[242] + vX_[2054] + vX_[2340] * vX_[247] + vX_[2468] * vX_[244])) * 0.881 + (0 - (vX_[2370] * vX_[241] + vX_[2757] * vX_[239]) + (vX_[2757] * vX_[239] + vX_[2601] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[2340]) * -0.1104774 + (0 - vX_[3228]) * 0.000881 + vX_[2496] * vX_[952]) * 0.35 - (vX_[2462] * vX_[986] + vX_[2034] * vX_[289] + vX_[3050] * vX_[254] + vX_[1795] * vX_[267] + vX_[2048] * vX_[240] + (vX_[783] * vX_[241] + vX_[2048] * vX_[239]) * -8.81e-05 + vX_[1936] * vX_[257] + vX_[2601] * vX_[246] + vX_[1937] * vX_[300] + vX_[2757] * vX_[248] + vX_[1753] * vX_[960])) * vX_[3392];
+ vX_[2157] = vX_[1765] + vX_[1514] * vX_[266] + vX_[2157] * vX_[279] + vX_[1757] * vX_[1003];
+ vX_[2767] = vX_[1765] + vX_[1740] * vX_[238] + vX_[2767] * vX_[283] + vX_[2092] * vX_[1004];
+ vX_[1765] = vX_[2157] - vX_[2767];
+ vX_[1560] = vX_[1514] * vX_[238] + vX_[1740] * vX_[266] + vX_[1858] * vX_[283] + vX_[1560] * vX_[279] + vX_[1757] * vX_[1004] + vX_[2092] * vX_[1003];
+ vX_[1858] = vX_[1765] * vX_[239] + vX_[1560] * vX_[242];
+ vX_[1740] = vX_[1765] * vX_[241] + vX_[1560] * vX_[239];
+ vX_[2157] = 0 - vX_[2157];
+ vX_[1514] = 0 - vX_[1560];
+ vX_[1603] = vX_[2310] * vX_[266] + vX_[1735] * vX_[238] + vX_[1603] * vX_[279] + vX_[1757] * vX_[1000] + vX_[2052] * vX_[1003];
+ vX_[2468] = 0 - vX_[1603];
+ vX_[1634] = vX_[2310] * vX_[238] + vX_[1735] * vX_[265] + vX_[1634] * vX_[279] + vX_[1757] * vX_[1001] + vX_[1947] * vX_[1003];
+ vX_[2310] = 0 - vX_[1634];
+ vX_[1735] = (vX_[2157] * vX_[273] + vX_[1514] * vX_[260] + vX_[2468] * vX_[269] + vX_[2310] * vX_[250]) * 1 / vX_[262];
+ vX_[2157] = vX_[2274] * vX_[981] + vX_[2157] * vX_[274] + vX_[1735];
+ vX_[2767] = 0 - vX_[2767];
+ vX_[1454] = vX_[1449] * vX_[266] + vX_[1641] * vX_[238] + vX_[1454] * vX_[283] + vX_[2092] * vX_[1000] + vX_[2052] * vX_[1004];
+ vX_[2370] = 0 - vX_[1454];
+ vX_[789] = vX_[1449] * vX_[238] + vX_[1641] * vX_[265] + vX_[789] * vX_[283] + vX_[2092] * vX_[1001] + vX_[1947] * vX_[1004];
+ vX_[1449] = 0 - vX_[789];
+ vX_[1641] = (vX_[2767] * vX_[260] + vX_[2370] * vX_[269] + vX_[1449] * vX_[250]) * 1 / vX_[262];
+ vX_[2767] = vX_[2180] * vX_[981] + vX_[1514] * vX_[274] + vX_[2767] * vX_[263] + vX_[1641];
+ vX_[1584] = vX_[1605] + vX_[1599] * vX_[279] + vX_[1584] * vX_[283] * 2. + vX_[2371] * vX_[1001] - vX_[2767];
+ vX_[1739] = 0 - (vX_[1689] + vX_[1739] * vX_[283] + vX_[2461] * vX_[279] * 2. + vX_[2371] * vX_[1000]) + vX_[2157];
+ vX_[2461] = vX_[2461] + vX_[2052] * vX_[1000];
+ vX_[2062] = vX_[2062] + vX_[1947] * vX_[1001];
+ vX_[1689] = vX_[2461] - vX_[2062];
+ vX_[2371] = 0 - vX_[2461];
+ vX_[1599] = vX_[1599] + vX_[2052] * vX_[1001] + vX_[1947] * vX_[1000];
+ vX_[1605] = 0 - vX_[1599];
+ vX_[1514] = (vX_[2371] * vX_[269] + vX_[1605] * vX_[250]) * 1 / vX_[262];
+ vX_[2371] = vX_[2064] * vX_[981] + vX_[2468] * vX_[274] + vX_[2370] * vX_[263] + vX_[2371] * vX_[306] + vX_[1514];
+ vX_[2370] = 0 - vX_[2062];
+ vX_[2468] = vX_[2370] * vX_[250] * 1 / vX_[262];
+ vX_[2370] = vX_[2085] * vX_[981] + vX_[2310] * vX_[274] + vX_[1449] * vX_[263] + vX_[1605] * vX_[306] + vX_[2370] * vX_[302] + vX_[2468];
+ vX_[1605] = 0 - vX_[2370];
+ vX_[1449] = vX_[1689] * vX_[239] + vX_[1599] * vX_[242];
+ vX_[2310] = vX_[1689] * vX_[241] + vX_[1599] * vX_[239];
+ vX_[1930] = vX_[1449] * vX_[241] + vX_[2310] * vX_[239];
+ vX_[2054] = vX_[2062] + vX_[1449] * vX_[239];
+ vX_[2821] = vX_[2062] + vX_[2310] * vX_[241];
+ vX_[2468] = vX_[2461] + vX_[2062] + 0 - vX_[2274] * vX_[1005] - vX_[2180] * vX_[959] - vX_[2216] * vX_[998] + vX_[2216] * vX_[981] - vX_[2064] * vX_[994] - vX_[2085] * vX_[991] - vX_[1735] * vX_[274] - vX_[1641] * vX_[263] - vX_[1514] * vX_[306] - vX_[2468] * vX_[302] - vX_[2054] - vX_[2821];
+ vX_[1514] = 0 - vX_[2468];
+ vX_[2062] = vX_[2157] * vX_[239] + vX_[2767] * vX_[242];
+ vX_[2461] = vX_[2062] + vX_[1514] * vX_[247];
+ vX_[1641] = vX_[2157] * vX_[241] + vX_[2767] * vX_[239];
+ vX_[1735] = vX_[1641] + vX_[2468] * vX_[244];
+ vX_[2085] = 0 - vX_[2370];
+ vX_[2064] = 0 - vX_[2821];
+ jac[419] = 0 - (vX_[1757] * vX_[990] + vX_[2092] * vX_[988] + vX_[2052] * vX_[986] + vX_[1947] * vX_[985] + vX_[1765] * vX_[289] + vX_[1560] * vX_[288] + vX_[1858] * -0.466187537174287 + vX_[1740] * 0.00185880198235362 + vX_[2157] * vX_[254] + vX_[2767] * vX_[258] + vX_[1454] * vX_[268] + vX_[1634] * vX_[240] + vX_[1603] * vX_[267] + vX_[789] * vX_[243] + (vX_[1454] * vX_[239] + vX_[1603] * vX_[241]) * -8.81e-05 + (vX_[1634] * vX_[239] + vX_[789] * vX_[242]) * 8.81e-05 + vX_[1584] * vX_[257] + vX_[1739] * vX_[253] + vX_[1689] * vX_[300] + vX_[2371] * vX_[246] + vX_[2370] * vX_[249] + vX_[1599] * vX_[299] + vX_[1605] * vX_[248] + vX_[2371] * vX_[245] + vX_[1449] * vX_[296] + vX_[2310] * vX_[298] + (vX_[1930] * vX_[256] + vX_[1514] * vX_[251] + vX_[2054] * vX_[252] + (0 - vX_[2461]) * 0.414812462825713 + (0 - (vX_[1584] * vX_[241] + vX_[1739] * vX_[239]) + vX_[2062] + vX_[2054] * vX_[247]) * 0.881 + (0 - vX_[1735]) * 0.00185880198235362 + (0 - (vX_[1605] * vX_[239] + vX_[2371] * vX_[242] + (vX_[2371] * vX_[241] + vX_[2370] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1930] * 0.0004405 + vX_[2054] * -0.2209548) * -0.35 + vX_[1873] * vX_[969] + vX_[2213] * vX_[958] + vX_[787] * vX_[963] + vX_[2447] * vX_[960] + (vX_[2013] * vX_[990] + vX_[1873] * vX_[952]) * 0.35) * vX_[3390] + (vX_[1757] * vX_[988] + vX_[2052] * vX_[985] + vX_[1765] * vX_[288] + vX_[1858] * 0.00185880198235362 + vX_[1740] * -7.4114911576828e-06 + vX_[2157] * vX_[258] + vX_[1634] * vX_[243] + vX_[1603] * vX_[268] + (vX_[1454] * vX_[242] + vX_[1603] * vX_[239]) * 8.81e-05 + vX_[1584] * vX_[253] + vX_[1689] * vX_[299] + vX_[2371] * vX_[249] + vX_[2085] * vX_[245] + vX_[1449] * vX_[298] + vX_[2310] * vX_[297] + vX_[2213] * vX_[969] + vX_[2447] * vX_[963] - (vX_[2092] * vX_[990] + vX_[1873] * vX_[958]) + (vX_[2013] * vX_[988] + vX_[2468] * vX_[255] + vX_[2064] * vX_[256] + vX_[2461] * 0.00185880198235362 + vX_[1735] * 0.880992588508842 + (0 - (vX_[1584] * vX_[239] + vX_[1739] * vX_[242] + vX_[1641] + vX_[1930] * vX_[247] + vX_[2064] * vX_[244])) * 0.881 + (0 - (vX_[2085] * vX_[241] + vX_[2371] * vX_[239]) + (vX_[2371] * vX_[239] + vX_[2370] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1930]) * -0.1104774 + (0 - vX_[2821]) * 0.000881 + vX_[2213] * vX_[952]) * 0.35 - (vX_[1947] * vX_[986] + vX_[1560] * vX_[289] + vX_[2767] * vX_[254] + vX_[1454] * vX_[267] + vX_[789] * vX_[240] + (vX_[1634] * vX_[241] + vX_[789] * vX_[239]) * -8.81e-05 + vX_[1739] * vX_[257] + vX_[2370] * vX_[246] + vX_[1599] * vX_[300] + vX_[2371] * vX_[248] + vX_[787] * vX_[960])) * vX_[3392];
+ vX_[1870] = vX_[792] + vX_[1156] * vX_[266] + vX_[1870] * vX_[279] + vX_[2009] * vX_[1003];
+ vX_[2089] = vX_[792] + vX_[1220] * vX_[238] + vX_[2089] * vX_[283] + vX_[2019] * vX_[1004];
+ vX_[792] = vX_[1870] - vX_[2089];
+ vX_[1321] = vX_[1156] * vX_[238] + vX_[1220] * vX_[266] + vX_[1608] * vX_[283] + vX_[1321] * vX_[279] + vX_[2009] * vX_[1004] + vX_[2019] * vX_[1003];
+ vX_[1608] = vX_[792] * vX_[239] + vX_[1321] * vX_[242];
+ vX_[1220] = vX_[792] * vX_[241] + vX_[1321] * vX_[239];
+ vX_[1870] = 0 - vX_[1870];
+ vX_[1156] = 0 - vX_[1321];
+ vX_[1342] = vX_[2065] * vX_[266] + vX_[1209] * vX_[238] + vX_[1342] * vX_[279] + vX_[2009] * vX_[1000] + vX_[1378] * vX_[1003];
+ vX_[2064] = 0 - vX_[1342];
+ vX_[769] = vX_[2065] * vX_[238] + vX_[1209] * vX_[265] + vX_[769] * vX_[279] + vX_[2009] * vX_[1001] + vX_[1736] * vX_[1003];
+ vX_[2065] = 0 - vX_[769];
+ vX_[1209] = (vX_[1870] * vX_[273] + vX_[1156] * vX_[260] + vX_[2064] * vX_[269] + vX_[2065] * vX_[250]) * 1 / vX_[262];
+ vX_[1870] = vX_[1881] * vX_[981] + vX_[1870] * vX_[274] + vX_[1209];
+ vX_[2089] = 0 - vX_[2089];
+ vX_[1249] = vX_[786] * vX_[266] + vX_[1335] * vX_[238] + vX_[1249] * vX_[283] + vX_[2019] * vX_[1000] + vX_[1378] * vX_[1004];
+ vX_[2085] = 0 - vX_[1249];
+ vX_[1628] = vX_[786] * vX_[238] + vX_[1335] * vX_[265] + vX_[1628] * vX_[283] + vX_[2019] * vX_[1001] + vX_[1736] * vX_[1004];
+ vX_[786] = 0 - vX_[1628];
+ vX_[1335] = (vX_[2089] * vX_[260] + vX_[2085] * vX_[269] + vX_[786] * vX_[250]) * 1 / vX_[262];
+ vX_[2089] = vX_[1862] * vX_[981] + vX_[1156] * vX_[274] + vX_[2089] * vX_[263] + vX_[1335];
+ vX_[1287] = vX_[1874] + vX_[1252] * vX_[279] + vX_[1287] * vX_[283] * 2. + vX_[2181] * vX_[1001] - vX_[2089];
+ vX_[1232] = 0 - (vX_[1286] + vX_[1232] * vX_[283] + vX_[2012] * vX_[279] * 2. + vX_[2181] * vX_[1000]) + vX_[1870];
+ vX_[2012] = vX_[2012] + vX_[1378] * vX_[1000];
+ vX_[1737] = vX_[1737] + vX_[1736] * vX_[1001];
+ vX_[1286] = vX_[2012] - vX_[1737];
+ vX_[2181] = 0 - vX_[2012];
+ vX_[1252] = vX_[1252] + vX_[1378] * vX_[1001] + vX_[1736] * vX_[1000];
+ vX_[1874] = 0 - vX_[1252];
+ vX_[1156] = (vX_[2181] * vX_[269] + vX_[1874] * vX_[250]) * 1 / vX_[262];
+ vX_[2181] = vX_[1475] * vX_[981] + vX_[2064] * vX_[274] + vX_[2085] * vX_[263] + vX_[2181] * vX_[306] + vX_[1156];
+ vX_[2085] = 0 - vX_[1737];
+ vX_[2064] = vX_[2085] * vX_[250] * 1 / vX_[262];
+ vX_[2085] = vX_[1640] * vX_[981] + vX_[2065] * vX_[274] + vX_[786] * vX_[263] + vX_[1874] * vX_[306] + vX_[2085] * vX_[302] + vX_[2064];
+ vX_[1874] = 0 - vX_[2085];
+ vX_[786] = vX_[1286] * vX_[239] + vX_[1252] * vX_[242];
+ vX_[2065] = vX_[1286] * vX_[241] + vX_[1252] * vX_[239];
+ vX_[1735] = vX_[786] * vX_[241] + vX_[2065] * vX_[239];
+ vX_[1641] = vX_[1737] + vX_[786] * vX_[239];
+ vX_[2461] = vX_[1737] + vX_[2065] * vX_[241];
+ vX_[2064] = vX_[2012] + vX_[1737] + 0 - vX_[1881] * vX_[1005] - vX_[1862] * vX_[959] - vX_[2060] * vX_[998] + vX_[2060] * vX_[981] - vX_[1475] * vX_[994] - vX_[1640] * vX_[991] - vX_[1209] * vX_[274] - vX_[1335] * vX_[263] - vX_[1156] * vX_[306] - vX_[2064] * vX_[302] - vX_[1641] - vX_[2461];
+ vX_[1156] = 0 - vX_[2064];
+ vX_[1737] = vX_[1870] * vX_[239] + vX_[2089] * vX_[242];
+ vX_[2012] = vX_[1737] + vX_[1156] * vX_[247];
+ vX_[1335] = vX_[1870] * vX_[241] + vX_[2089] * vX_[239];
+ vX_[1209] = vX_[1335] + vX_[2064] * vX_[244];
+ vX_[1640] = 0 - vX_[2085];
+ vX_[1475] = 0 - vX_[2461];
+ jac[420] = 0 - (vX_[2009] * vX_[990] + vX_[2019] * vX_[988] + vX_[1378] * vX_[986] + vX_[1736] * vX_[985] + vX_[792] * vX_[289] + vX_[1321] * vX_[288] + vX_[1608] * -0.466187537174287 + vX_[1220] * 0.00185880198235362 + vX_[1870] * vX_[254] + vX_[2089] * vX_[258] + vX_[1249] * vX_[268] + vX_[769] * vX_[240] + vX_[1342] * vX_[267] + vX_[1628] * vX_[243] + (vX_[1249] * vX_[239] + vX_[1342] * vX_[241]) * -8.81e-05 + (vX_[769] * vX_[239] + vX_[1628] * vX_[242]) * 8.81e-05 + vX_[1287] * vX_[257] + vX_[1232] * vX_[253] + vX_[1286] * vX_[300] + vX_[2181] * vX_[246] + vX_[2085] * vX_[249] + vX_[1252] * vX_[299] + vX_[1874] * vX_[248] + vX_[2181] * vX_[245] + vX_[786] * vX_[296] + vX_[2065] * vX_[298] + (vX_[1735] * vX_[256] + vX_[1156] * vX_[251] + vX_[1641] * vX_[252] + (0 - vX_[2012]) * 0.414812462825713 + (0 - (vX_[1287] * vX_[241] + vX_[1232] * vX_[239]) + vX_[1737] + vX_[1641] * vX_[247]) * 0.881 + (0 - vX_[1209]) * 0.00185880198235362 + (0 - (vX_[1874] * vX_[239] + vX_[2181] * vX_[242] + (vX_[2181] * vX_[241] + vX_[2085] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1735] * 0.0004405 + vX_[1641] * -0.2209548) * -0.35 + vX_[1417] * vX_[969] + vX_[1912] * vX_[958] + vX_[1329] * vX_[963] + vX_[662] * vX_[960] + (vX_[1771] * vX_[990] + vX_[1417] * vX_[952]) * 0.35) * vX_[3390] + (vX_[2009] * vX_[988] + vX_[1378] * vX_[985] + vX_[792] * vX_[288] + vX_[1608] * 0.00185880198235362 + vX_[1220] * -7.4114911576828e-06 + vX_[1870] * vX_[258] + vX_[769] * vX_[243] + vX_[1342] * vX_[268] + (vX_[1249] * vX_[242] + vX_[1342] * vX_[239]) * 8.81e-05 + vX_[1287] * vX_[253] + vX_[1286] * vX_[299] + vX_[2181] * vX_[249] + vX_[1640] * vX_[245] + vX_[786] * vX_[298] + vX_[2065] * vX_[297] + vX_[1912] * vX_[969] + vX_[662] * vX_[963] - (vX_[2019] * vX_[990] + vX_[1417] * vX_[958]) + (vX_[1771] * vX_[988] + vX_[2064] * vX_[255] + vX_[1475] * vX_[256] + vX_[2012] * 0.00185880198235362 + vX_[1209] * 0.880992588508842 + (0 - (vX_[1287] * vX_[239] + vX_[1232] * vX_[242] + vX_[1335] + vX_[1735] * vX_[247] + vX_[1475] * vX_[244])) * 0.881 + (0 - (vX_[1640] * vX_[241] + vX_[2181] * vX_[239]) + (vX_[2181] * vX_[239] + vX_[2085] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1735]) * -0.1104774 + (0 - vX_[2461]) * 0.000881 + vX_[1912] * vX_[952]) * 0.35 - (vX_[1736] * vX_[986] + vX_[1321] * vX_[289] + vX_[2089] * vX_[254] + vX_[1249] * vX_[267] + vX_[1628] * vX_[240] + (vX_[769] * vX_[241] + vX_[1628] * vX_[239]) * -8.81e-05 + vX_[1232] * vX_[257] + vX_[2085] * vX_[246] + vX_[1252] * vX_[300] + vX_[2181] * vX_[248] + vX_[1329] * vX_[960])) * vX_[3392];
+ vX_[1598] = vX_[778] + vX_[599] * vX_[266] + vX_[1598] * vX_[279] + vX_[1580] * vX_[1003];
+ vX_[401] = vX_[778] + vX_[1102] * vX_[238] + vX_[401] * vX_[283] + vX_[1770] * vX_[1004];
+ vX_[778] = vX_[1598] - vX_[401];
+ vX_[1082] = vX_[599] * vX_[238] + vX_[1102] * vX_[266] + vX_[1099] * vX_[283] + vX_[1082] * vX_[279] + vX_[1580] * vX_[1004] + vX_[1770] * vX_[1003];
+ vX_[1099] = vX_[778] * vX_[239] + vX_[1082] * vX_[242];
+ vX_[1102] = vX_[778] * vX_[241] + vX_[1082] * vX_[239];
+ vX_[1598] = 0 - vX_[1598];
+ vX_[599] = 0 - vX_[1082];
+ vX_[3272] = vX_[1438] * vX_[266] + vX_[1033] * vX_[238] + vX_[3272] * vX_[279] + vX_[1580] * vX_[1000] + vX_[1497] * vX_[1003];
+ vX_[1475] = 0 - vX_[3272];
+ vX_[3270] = vX_[1438] * vX_[238] + vX_[1033] * vX_[265] + vX_[3270] * vX_[279] + vX_[1580] * vX_[1001] + vX_[1409] * vX_[1003];
+ vX_[1438] = 0 - vX_[3270];
+ vX_[1033] = (vX_[1598] * vX_[273] + vX_[599] * vX_[260] + vX_[1475] * vX_[269] + vX_[1438] * vX_[250]) * 1 / vX_[262];
+ vX_[1598] = vX_[1738] * vX_[981] + vX_[1598] * vX_[274] + vX_[1033];
+ vX_[401] = 0 - vX_[401];
+ vX_[767] = vX_[1030] * vX_[266] + vX_[1072] * vX_[238] + vX_[767] * vX_[283] + vX_[1770] * vX_[1000] + vX_[1497] * vX_[1004];
+ vX_[1640] = 0 - vX_[767];
+ vX_[1128] = vX_[1030] * vX_[238] + vX_[1072] * vX_[265] + vX_[1128] * vX_[283] + vX_[1770] * vX_[1001] + vX_[1409] * vX_[1004];
+ vX_[1030] = 0 - vX_[1128];
+ vX_[1072] = (vX_[401] * vX_[260] + vX_[1640] * vX_[269] + vX_[1030] * vX_[250]) * 1 / vX_[262];
+ vX_[401] = vX_[1559] * vX_[981] + vX_[599] * vX_[274] + vX_[401] * vX_[263] + vX_[1072];
+ vX_[1105] = vX_[1479] + vX_[779] * vX_[279] + vX_[1105] * vX_[283] * 2. + vX_[1917] * vX_[1001] - vX_[401];
+ vX_[1067] = 0 - (vX_[980] + vX_[1067] * vX_[283] + vX_[1834] * vX_[279] * 2. + vX_[1917] * vX_[1000]) + vX_[1598];
+ vX_[1834] = vX_[1834] + vX_[1497] * vX_[1000];
+ vX_[1452] = vX_[1452] + vX_[1409] * vX_[1001];
+ vX_[980] = vX_[1834] - vX_[1452];
+ vX_[1917] = 0 - vX_[1834];
+ vX_[779] = vX_[779] + vX_[1497] * vX_[1001] + vX_[1409] * vX_[1000];
+ vX_[1479] = 0 - vX_[779];
+ vX_[599] = (vX_[1917] * vX_[269] + vX_[1479] * vX_[250]) * 1 / vX_[262];
+ vX_[1917] = vX_[1126] * vX_[981] + vX_[1475] * vX_[274] + vX_[1640] * vX_[263] + vX_[1917] * vX_[306] + vX_[599];
+ vX_[1640] = 0 - vX_[1452];
+ vX_[1475] = vX_[1640] * vX_[250] * 1 / vX_[262];
+ vX_[1640] = vX_[1461] * vX_[981] + vX_[1438] * vX_[274] + vX_[1030] * vX_[263] + vX_[1479] * vX_[306] + vX_[1640] * vX_[302] + vX_[1475];
+ vX_[1479] = 0 - vX_[1640];
+ vX_[1030] = vX_[980] * vX_[239] + vX_[779] * vX_[242];
+ vX_[1438] = vX_[980] * vX_[241] + vX_[779] * vX_[239];
+ vX_[1209] = vX_[1030] * vX_[241] + vX_[1438] * vX_[239];
+ vX_[1335] = vX_[1452] + vX_[1030] * vX_[239];
+ vX_[2012] = vX_[1452] + vX_[1438] * vX_[241];
+ vX_[1475] = vX_[1834] + vX_[1452] + 0 - vX_[1738] * vX_[1005] - vX_[1559] * vX_[959] - vX_[1613] * vX_[998] + vX_[1613] * vX_[981] - vX_[1126] * vX_[994] - vX_[1461] * vX_[991] - vX_[1033] * vX_[274] - vX_[1072] * vX_[263] - vX_[599] * vX_[306] - vX_[1475] * vX_[302] - vX_[1335] - vX_[2012];
+ vX_[599] = 0 - vX_[1475];
+ vX_[1452] = vX_[1598] * vX_[239] + vX_[401] * vX_[242];
+ vX_[1834] = vX_[1452] + vX_[599] * vX_[247];
+ vX_[1072] = vX_[1598] * vX_[241] + vX_[401] * vX_[239];
+ vX_[1033] = vX_[1072] + vX_[1475] * vX_[244];
+ vX_[1461] = 0 - vX_[1640];
+ vX_[1126] = 0 - vX_[2012];
+ jac[421] = 0 - (vX_[1580] * vX_[990] + vX_[1770] * vX_[988] + vX_[1497] * vX_[986] + vX_[1409] * vX_[985] + vX_[778] * vX_[289] + vX_[1082] * vX_[288] + vX_[1099] * -0.466187537174287 + vX_[1102] * 0.00185880198235362 + vX_[1598] * vX_[254] + vX_[401] * vX_[258] + vX_[767] * vX_[268] + vX_[3270] * vX_[240] + vX_[3272] * vX_[267] + vX_[1128] * vX_[243] + (vX_[767] * vX_[239] + vX_[3272] * vX_[241]) * -8.81e-05 + (vX_[3270] * vX_[239] + vX_[1128] * vX_[242]) * 8.81e-05 + vX_[1105] * vX_[257] + vX_[1067] * vX_[253] + vX_[980] * vX_[300] + vX_[1917] * vX_[246] + vX_[1640] * vX_[249] + vX_[779] * vX_[299] + vX_[1479] * vX_[248] + vX_[1917] * vX_[245] + vX_[1030] * vX_[296] + vX_[1438] * vX_[298] + (vX_[1209] * vX_[256] + vX_[599] * vX_[251] + vX_[1335] * vX_[252] + (0 - vX_[1834]) * 0.414812462825713 + (0 - (vX_[1105] * vX_[241] + vX_[1067] * vX_[239]) + vX_[1452] + vX_[1335] * vX_[247]) * 0.881 + (0 - vX_[1033]) * 0.00185880198235362 + (0 - (vX_[1479] * vX_[239] + vX_[1917] * vX_[242] + (vX_[1917] * vX_[241] + vX_[1640] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1209] * 0.0004405 + vX_[1335] * -0.2209548) * -0.35 + vX_[1210] * vX_[969] + vX_[1129] * vX_[958] + vX_[1239] * vX_[963] + vX_[1684] * vX_[960] + (vX_[1501] * vX_[990] + vX_[1210] * vX_[952]) * 0.35) * vX_[3390] + (vX_[1580] * vX_[988] + vX_[1497] * vX_[985] + vX_[778] * vX_[288] + vX_[1099] * 0.00185880198235362 + vX_[1102] * -7.4114911576828e-06 + vX_[1598] * vX_[258] + vX_[3270] * vX_[243] + vX_[3272] * vX_[268] + (vX_[767] * vX_[242] + vX_[3272] * vX_[239]) * 8.81e-05 + vX_[1105] * vX_[253] + vX_[980] * vX_[299] + vX_[1917] * vX_[249] + vX_[1461] * vX_[245] + vX_[1030] * vX_[298] + vX_[1438] * vX_[297] + vX_[1129] * vX_[969] + vX_[1684] * vX_[963] - (vX_[1770] * vX_[990] + vX_[1210] * vX_[958]) + (vX_[1501] * vX_[988] + vX_[1475] * vX_[255] + vX_[1126] * vX_[256] + vX_[1834] * 0.00185880198235362 + vX_[1033] * 0.880992588508842 + (0 - (vX_[1105] * vX_[239] + vX_[1067] * vX_[242] + vX_[1072] + vX_[1209] * vX_[247] + vX_[1126] * vX_[244])) * 0.881 + (0 - (vX_[1461] * vX_[241] + vX_[1917] * vX_[239]) + (vX_[1917] * vX_[239] + vX_[1640] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1209]) * -0.1104774 + (0 - vX_[2012]) * 0.000881 + vX_[1129] * vX_[952]) * 0.35 - (vX_[1409] * vX_[986] + vX_[1082] * vX_[289] + vX_[401] * vX_[254] + vX_[767] * vX_[267] + vX_[1128] * vX_[240] + (vX_[3270] * vX_[241] + vX_[1128] * vX_[239]) * -8.81e-05 + vX_[1067] * vX_[257] + vX_[1640] * vX_[246] + vX_[779] * vX_[300] + vX_[1917] * vX_[248] + vX_[1239] * vX_[960])) * vX_[3392];
+ vX_[1206] = vX_[744] + vX_[3126] * vX_[266] + vX_[1206] * vX_[279] + vX_[1195] * vX_[1003];
+ vX_[1734] = vX_[744] + vX_[689] * vX_[238] + vX_[1734] * vX_[283] + vX_[1192] * vX_[1004];
+ vX_[744] = vX_[1206] - vX_[1734];
+ vX_[3472] = vX_[3126] * vX_[238] + vX_[689] * vX_[266] + vX_[743] * vX_[283] + vX_[3472] * vX_[279] + vX_[1195] * vX_[1004] + vX_[1192] * vX_[1003];
+ vX_[743] = vX_[744] * vX_[239] + vX_[3472] * vX_[242];
+ vX_[689] = vX_[744] * vX_[241] + vX_[3472] * vX_[239];
+ vX_[1206] = 0 - vX_[1206];
+ vX_[3126] = 0 - vX_[3472];
+ vX_[3333] = vX_[1278] * vX_[266] + vX_[707] * vX_[238] + vX_[3333] * vX_[279] + vX_[1195] * vX_[1000] + vX_[790] * vX_[1003];
+ vX_[1126] = 0 - vX_[3333];
+ vX_[3323] = vX_[1278] * vX_[238] + vX_[707] * vX_[265] + vX_[3323] * vX_[279] + vX_[1195] * vX_[1001] + vX_[1246] * vX_[1003];
+ vX_[1278] = 0 - vX_[3323];
+ vX_[707] = (vX_[1206] * vX_[273] + vX_[3126] * vX_[260] + vX_[1126] * vX_[269] + vX_[1278] * vX_[250]) * 1 / vX_[262];
+ vX_[1206] = vX_[1173] * vX_[981] + vX_[1206] * vX_[274] + vX_[707];
+ vX_[1734] = 0 - vX_[1734];
+ vX_[3447] = vX_[3206] * vX_[266] + vX_[3407] * vX_[238] + vX_[3447] * vX_[283] + vX_[1192] * vX_[1000] + vX_[790] * vX_[1004];
+ vX_[1461] = 0 - vX_[3447];
+ vX_[3458] = vX_[3206] * vX_[238] + vX_[3407] * vX_[265] + vX_[3458] * vX_[283] + vX_[1192] * vX_[1001] + vX_[1246] * vX_[1004];
+ vX_[3206] = 0 - vX_[3458];
+ vX_[3407] = (vX_[1734] * vX_[260] + vX_[1461] * vX_[269] + vX_[3206] * vX_[250]) * 1 / vX_[262];
+ vX_[1734] = vX_[1330] * vX_[981] + vX_[3126] * vX_[274] + vX_[1734] * vX_[263] + vX_[3407];
+ vX_[493] = vX_[784] + vX_[624] * vX_[279] + vX_[493] * vX_[283] * 2. + vX_[1323] * vX_[1001] - vX_[1734];
+ vX_[406] = 0 - (vX_[3408] + vX_[406] * vX_[283] + vX_[1315] * vX_[279] * 2. + vX_[1323] * vX_[1000]) + vX_[1206];
+ vX_[1315] = vX_[1315] + vX_[790] * vX_[1000];
+ vX_[1215] = vX_[1215] + vX_[1246] * vX_[1001];
+ vX_[3408] = vX_[1315] - vX_[1215];
+ vX_[1323] = 0 - vX_[1315];
+ vX_[624] = vX_[624] + vX_[790] * vX_[1001] + vX_[1246] * vX_[1000];
+ vX_[784] = 0 - vX_[624];
+ vX_[3126] = (vX_[1323] * vX_[269] + vX_[784] * vX_[250]) * 1 / vX_[262];
+ vX_[1323] = vX_[1214] * vX_[981] + vX_[1126] * vX_[274] + vX_[1461] * vX_[263] + vX_[1323] * vX_[306] + vX_[3126];
+ vX_[1461] = 0 - vX_[1215];
+ vX_[1126] = vX_[1461] * vX_[250] * 1 / vX_[262];
+ vX_[1461] = vX_[1216] * vX_[981] + vX_[1278] * vX_[274] + vX_[3206] * vX_[263] + vX_[784] * vX_[306] + vX_[1461] * vX_[302] + vX_[1126];
+ vX_[784] = 0 - vX_[1461];
+ vX_[3206] = vX_[3408] * vX_[239] + vX_[624] * vX_[242];
+ vX_[1278] = vX_[3408] * vX_[241] + vX_[624] * vX_[239];
+ vX_[1033] = vX_[3206] * vX_[241] + vX_[1278] * vX_[239];
+ vX_[1072] = vX_[1215] + vX_[3206] * vX_[239];
+ vX_[1834] = vX_[1215] + vX_[1278] * vX_[241];
+ vX_[1126] = vX_[1315] + vX_[1215] + 0 - vX_[1173] * vX_[1005] - vX_[1330] * vX_[959] - vX_[1114] * vX_[998] + vX_[1114] * vX_[981] - vX_[1214] * vX_[994] - vX_[1216] * vX_[991] - vX_[707] * vX_[274] - vX_[3407] * vX_[263] - vX_[3126] * vX_[306] - vX_[1126] * vX_[302] - vX_[1072] - vX_[1834];
+ vX_[3126] = 0 - vX_[1126];
+ vX_[1215] = vX_[1206] * vX_[239] + vX_[1734] * vX_[242];
+ vX_[1315] = vX_[1215] + vX_[3126] * vX_[247];
+ vX_[3407] = vX_[1206] * vX_[241] + vX_[1734] * vX_[239];
+ vX_[707] = vX_[3407] + vX_[1126] * vX_[244];
+ vX_[1216] = 0 - vX_[1461];
+ vX_[1214] = 0 - vX_[1834];
+ jac[422] = 0 - (vX_[1195] * vX_[990] + vX_[1192] * vX_[988] + vX_[790] * vX_[986] + vX_[1246] * vX_[985] + vX_[744] * vX_[289] + vX_[3472] * vX_[288] + vX_[743] * -0.466187537174287 + vX_[689] * 0.00185880198235362 + vX_[1206] * vX_[254] + vX_[1734] * vX_[258] + vX_[3447] * vX_[268] + vX_[3323] * vX_[240] + vX_[3333] * vX_[267] + vX_[3458] * vX_[243] + (vX_[3447] * vX_[239] + vX_[3333] * vX_[241]) * -8.81e-05 + (vX_[3323] * vX_[239] + vX_[3458] * vX_[242]) * 8.81e-05 + vX_[493] * vX_[257] + vX_[406] * vX_[253] + vX_[3408] * vX_[300] + vX_[1323] * vX_[246] + vX_[1461] * vX_[249] + vX_[624] * vX_[299] + vX_[784] * vX_[248] + vX_[1323] * vX_[245] + vX_[3206] * vX_[296] + vX_[1278] * vX_[298] + (vX_[1033] * vX_[256] + vX_[3126] * vX_[251] + vX_[1072] * vX_[252] + (0 - vX_[1315]) * 0.414812462825713 + (0 - (vX_[493] * vX_[241] + vX_[406] * vX_[239]) + vX_[1215] + vX_[1072] * vX_[247]) * 0.881 + (0 - vX_[707]) * 0.00185880198235362 + (0 - (vX_[784] * vX_[239] + vX_[1323] * vX_[242] + (vX_[1323] * vX_[241] + vX_[1461] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1033] * 0.0004405 + vX_[1072] * -0.2209548) * -0.35 + vX_[456] * vX_[969] + vX_[1111] * vX_[958] + vX_[455] * vX_[963] + vX_[1380] * vX_[960] + (vX_[1054] * vX_[990] + vX_[456] * vX_[952]) * 0.35) * vX_[3390] + (vX_[1195] * vX_[988] + vX_[790] * vX_[985] + vX_[744] * vX_[288] + vX_[743] * 0.00185880198235362 + vX_[689] * -7.4114911576828e-06 + vX_[1206] * vX_[258] + vX_[3323] * vX_[243] + vX_[3333] * vX_[268] + (vX_[3447] * vX_[242] + vX_[3333] * vX_[239]) * 8.81e-05 + vX_[493] * vX_[253] + vX_[3408] * vX_[299] + vX_[1323] * vX_[249] + vX_[1216] * vX_[245] + vX_[3206] * vX_[298] + vX_[1278] * vX_[297] + vX_[1111] * vX_[969] + vX_[1380] * vX_[963] - (vX_[1192] * vX_[990] + vX_[456] * vX_[958]) + (vX_[1054] * vX_[988] + vX_[1126] * vX_[255] + vX_[1214] * vX_[256] + vX_[1315] * 0.00185880198235362 + vX_[707] * 0.880992588508842 + (0 - (vX_[493] * vX_[239] + vX_[406] * vX_[242] + vX_[3407] + vX_[1033] * vX_[247] + vX_[1214] * vX_[244])) * 0.881 + (0 - (vX_[1216] * vX_[241] + vX_[1323] * vX_[239]) + (vX_[1323] * vX_[239] + vX_[1461] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1033]) * -0.1104774 + (0 - vX_[1834]) * 0.000881 + vX_[1111] * vX_[952]) * 0.35 - (vX_[1246] * vX_[986] + vX_[3472] * vX_[289] + vX_[1734] * vX_[254] + vX_[3447] * vX_[267] + vX_[3458] * vX_[240] + (vX_[3323] * vX_[241] + vX_[3458] * vX_[239]) * -8.81e-05 + vX_[406] * vX_[257] + vX_[1461] * vX_[246] + vX_[624] * vX_[300] + vX_[1323] * vX_[248] + vX_[455] * vX_[960])) * vX_[3392];
+ vX_[3267] = vX_[3007] + vX_[2857] * vX_[266] + vX_[3267] * vX_[279] + vX_[1057] * vX_[1003];
+ vX_[1473] = vX_[3007] + vX_[2962] * vX_[238] + vX_[1473] * vX_[283] + vX_[774] * vX_[1004];
+ vX_[3007] = vX_[3267] - vX_[1473];
+ vX_[2156] = vX_[2857] * vX_[238] + vX_[2962] * vX_[266] + vX_[3302] * vX_[283] + vX_[2156] * vX_[279] + vX_[1057] * vX_[1004] + vX_[774] * vX_[1003];
+ vX_[3302] = vX_[3007] * vX_[239] + vX_[2156] * vX_[242];
+ vX_[2962] = vX_[3007] * vX_[241] + vX_[2156] * vX_[239];
+ vX_[3267] = 0 - vX_[3267];
+ vX_[2857] = 0 - vX_[2156];
+ vX_[3053] = vX_[2165] * vX_[266] + vX_[2831] * vX_[238] + vX_[3053] * vX_[279] + vX_[1057] * vX_[1000] + vX_[412] * vX_[1003];
+ vX_[1214] = 0 - vX_[3053];
+ vX_[2116] = vX_[2165] * vX_[238] + vX_[2831] * vX_[265] + vX_[2116] * vX_[279] + vX_[1057] * vX_[1001] + vX_[424] * vX_[1003];
+ vX_[2165] = 0 - vX_[2116];
+ vX_[2831] = (vX_[3267] * vX_[273] + vX_[2857] * vX_[260] + vX_[1214] * vX_[269] + vX_[2165] * vX_[250]) * 1 / vX_[262];
+ vX_[3267] = vX_[759] * vX_[981] + vX_[3267] * vX_[274] + vX_[2831];
+ vX_[1473] = 0 - vX_[1473];
+ vX_[2201] = vX_[1113] * vX_[266] + vX_[2197] * vX_[238] + vX_[2201] * vX_[283] + vX_[774] * vX_[1000] + vX_[412] * vX_[1004];
+ vX_[1216] = 0 - vX_[2201];
+ vX_[2813] = vX_[1113] * vX_[238] + vX_[2197] * vX_[265] + vX_[2813] * vX_[283] + vX_[774] * vX_[1001] + vX_[424] * vX_[1004];
+ vX_[1113] = 0 - vX_[2813];
+ vX_[2197] = (vX_[1473] * vX_[260] + vX_[1216] * vX_[269] + vX_[1113] * vX_[250]) * 1 / vX_[262];
+ vX_[1473] = vX_[801] * vX_[981] + vX_[2857] * vX_[274] + vX_[1473] * vX_[263] + vX_[2197];
+ vX_[2681] = vX_[3449] + vX_[2826] * vX_[279] + vX_[2681] * vX_[283] * 2. + vX_[791] * vX_[1001] - vX_[1473];
+ vX_[2909] = 0 - (vX_[3039] + vX_[2909] * vX_[283] + vX_[1149] * vX_[279] * 2. + vX_[791] * vX_[1000]) + vX_[3267];
+ vX_[1149] = vX_[1149] + vX_[412] * vX_[1000];
+ vX_[423] = vX_[423] + vX_[424] * vX_[1001];
+ vX_[3039] = vX_[1149] - vX_[423];
+ vX_[791] = 0 - vX_[1149];
+ vX_[2826] = vX_[2826] + vX_[412] * vX_[1001] + vX_[424] * vX_[1000];
+ vX_[3449] = 0 - vX_[2826];
+ vX_[2857] = (vX_[791] * vX_[269] + vX_[3449] * vX_[250]) * 1 / vX_[262];
+ vX_[791] = vX_[413] * vX_[981] + vX_[1214] * vX_[274] + vX_[1216] * vX_[263] + vX_[791] * vX_[306] + vX_[2857];
+ vX_[1216] = 0 - vX_[423];
+ vX_[1214] = vX_[1216] * vX_[250] * 1 / vX_[262];
+ vX_[1216] = vX_[379] * vX_[981] + vX_[2165] * vX_[274] + vX_[1113] * vX_[263] + vX_[3449] * vX_[306] + vX_[1216] * vX_[302] + vX_[1214];
+ vX_[3449] = 0 - vX_[1216];
+ vX_[1113] = vX_[3039] * vX_[239] + vX_[2826] * vX_[242];
+ vX_[2165] = vX_[3039] * vX_[241] + vX_[2826] * vX_[239];
+ vX_[707] = vX_[1113] * vX_[241] + vX_[2165] * vX_[239];
+ vX_[3407] = vX_[423] + vX_[1113] * vX_[239];
+ vX_[1315] = vX_[423] + vX_[2165] * vX_[241];
+ vX_[1214] = vX_[1149] + vX_[423] + 0 - vX_[759] * vX_[1005] - vX_[801] * vX_[959] - vX_[1108] * vX_[998] + vX_[1108] * vX_[981] - vX_[413] * vX_[994] - vX_[379] * vX_[991] - vX_[2831] * vX_[274] - vX_[2197] * vX_[263] - vX_[2857] * vX_[306] - vX_[1214] * vX_[302] - vX_[3407] - vX_[1315];
+ vX_[2857] = 0 - vX_[1214];
+ vX_[423] = vX_[3267] * vX_[239] + vX_[1473] * vX_[242];
+ vX_[1149] = vX_[423] + vX_[2857] * vX_[247];
+ vX_[2197] = vX_[3267] * vX_[241] + vX_[1473] * vX_[239];
+ vX_[2831] = vX_[2197] + vX_[1214] * vX_[244];
+ vX_[379] = 0 - vX_[1216];
+ vX_[413] = 0 - vX_[1315];
+ jac[423] = 0 - (vX_[1057] * vX_[990] + vX_[774] * vX_[988] + vX_[412] * vX_[986] + vX_[424] * vX_[985] + vX_[3007] * vX_[289] + vX_[2156] * vX_[288] + vX_[3302] * -0.466187537174287 + vX_[2962] * 0.00185880198235362 + vX_[3267] * vX_[254] + vX_[1473] * vX_[258] + vX_[2201] * vX_[268] + vX_[2116] * vX_[240] + vX_[3053] * vX_[267] + vX_[2813] * vX_[243] + (vX_[2201] * vX_[239] + vX_[3053] * vX_[241]) * -8.81e-05 + (vX_[2116] * vX_[239] + vX_[2813] * vX_[242]) * 8.81e-05 + vX_[2681] * vX_[257] + vX_[2909] * vX_[253] + vX_[3039] * vX_[300] + vX_[791] * vX_[246] + vX_[1216] * vX_[249] + vX_[2826] * vX_[299] + vX_[3449] * vX_[248] + vX_[791] * vX_[245] + vX_[1113] * vX_[296] + vX_[2165] * vX_[298] + (vX_[707] * vX_[256] + vX_[2857] * vX_[251] + vX_[3407] * vX_[252] + (0 - vX_[1149]) * 0.414812462825713 + (0 - (vX_[2681] * vX_[241] + vX_[2909] * vX_[239]) + vX_[423] + vX_[3407] * vX_[247]) * 0.881 + (0 - vX_[2831]) * 0.00185880198235362 + (0 - (vX_[3449] * vX_[239] + vX_[791] * vX_[242] + (vX_[791] * vX_[241] + vX_[1216] * vX_[239]) * 2.)) * 8.81e-05 + vX_[707] * 0.0004405 + vX_[3407] * -0.2209548) * -0.35 + vX_[3127] * vX_[969] + vX_[442] * vX_[958] + vX_[3312] * vX_[963] + vX_[1235] * vX_[960] + (vX_[409] * vX_[990] + vX_[3127] * vX_[952]) * 0.35) * vX_[3390] + (vX_[1057] * vX_[988] + vX_[412] * vX_[985] + vX_[3007] * vX_[288] + vX_[3302] * 0.00185880198235362 + vX_[2962] * -7.4114911576828e-06 + vX_[3267] * vX_[258] + vX_[2116] * vX_[243] + vX_[3053] * vX_[268] + (vX_[2201] * vX_[242] + vX_[3053] * vX_[239]) * 8.81e-05 + vX_[2681] * vX_[253] + vX_[3039] * vX_[299] + vX_[791] * vX_[249] + vX_[379] * vX_[245] + vX_[1113] * vX_[298] + vX_[2165] * vX_[297] + vX_[442] * vX_[969] + vX_[1235] * vX_[963] - (vX_[774] * vX_[990] + vX_[3127] * vX_[958]) + (vX_[409] * vX_[988] + vX_[1214] * vX_[255] + vX_[413] * vX_[256] + vX_[1149] * 0.00185880198235362 + vX_[2831] * 0.880992588508842 + (0 - (vX_[2681] * vX_[239] + vX_[2909] * vX_[242] + vX_[2197] + vX_[707] * vX_[247] + vX_[413] * vX_[244])) * 0.881 + (0 - (vX_[379] * vX_[241] + vX_[791] * vX_[239]) + (vX_[791] * vX_[239] + vX_[1216] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[707]) * -0.1104774 + (0 - vX_[1315]) * 0.000881 + vX_[442] * vX_[952]) * 0.35 - (vX_[424] * vX_[986] + vX_[2156] * vX_[289] + vX_[1473] * vX_[254] + vX_[2201] * vX_[267] + vX_[2813] * vX_[240] + (vX_[2116] * vX_[241] + vX_[2813] * vX_[239]) * -8.81e-05 + vX_[2909] * vX_[257] + vX_[1216] * vX_[246] + vX_[2826] * vX_[300] + vX_[791] * vX_[248] + vX_[3312] * vX_[960])) * vX_[3392];
+ vX_[3353] = vX_[2549] + vX_[2397] * vX_[266] + vX_[3353] * vX_[279] + vX_[3406] * vX_[1003];
+ vX_[586] = vX_[2549] + vX_[2521] * vX_[238] + vX_[586] * vX_[283] + vX_[432] * vX_[1004];
+ vX_[2549] = vX_[3353] - vX_[586];
+ vX_[2301] = vX_[2397] * vX_[238] + vX_[2521] * vX_[266] + vX_[2126] * vX_[283] + vX_[2301] * vX_[279] + vX_[3406] * vX_[1004] + vX_[432] * vX_[1003];
+ vX_[2126] = vX_[2549] * vX_[239] + vX_[2301] * vX_[242];
+ vX_[2521] = vX_[2549] * vX_[241] + vX_[2301] * vX_[239];
+ vX_[968] = vX_[967] * vX_[3089] + vX_[237] * vX_[3088] + vX_[968] * vX_[2967] + vX_[1003];
+ vX_[3353] = 0 - vX_[3353];
+ vX_[237] = 0 - vX_[2301];
+ vX_[2493] = vX_[2256] * vX_[266] + vX_[2612] * vX_[238] + vX_[2493] * vX_[279] + vX_[3406] * vX_[1000] + vX_[2981] * vX_[1003];
+ vX_[2397] = 0 - vX_[2493];
+ vX_[2575] = vX_[2256] * vX_[238] + vX_[2612] * vX_[265] + vX_[2575] * vX_[279] + vX_[3406] * vX_[1001] + vX_[466] * vX_[1003];
+ vX_[2256] = 0 - vX_[2575];
+ vX_[2612] = (vX_[3353] * vX_[273] + vX_[237] * vX_[260] + vX_[2397] * vX_[269] + vX_[2256] * vX_[250]) * 1 / vX_[262];
+ vX_[3353] = vX_[2279] * vX_[968] + vX_[396] * vX_[981] + vX_[3353] * vX_[274] + vX_[2612];
+ vX_[3089] = vX_[953] * vX_[3089] + vX_[265] * vX_[3088] + vX_[283] * vX_[2967] + vX_[1004];
+ vX_[586] = 0 - vX_[586];
+ vX_[2306] = vX_[2254] * vX_[266] + vX_[2303] * vX_[238] + vX_[2306] * vX_[283] + vX_[432] * vX_[1000] + vX_[2981] * vX_[1004];
+ vX_[3088] = 0 - vX_[2306];
+ vX_[2567] = vX_[2254] * vX_[238] + vX_[2303] * vX_[265] + vX_[2567] * vX_[283] + vX_[432] * vX_[1001] + vX_[466] * vX_[1004];
+ vX_[2254] = 0 - vX_[2567];
+ vX_[2303] = (vX_[586] * vX_[260] + vX_[3088] * vX_[269] + vX_[2254] * vX_[250]) * 1 / vX_[262];
+ vX_[586] = vX_[2284] * vX_[3089] + vX_[3450] * vX_[981] + vX_[237] * vX_[274] + vX_[586] * vX_[263] + vX_[2303];
+ vX_[2914] = vX_[3301] + vX_[2577] * vX_[279] + vX_[2914] * vX_[283] * 2. + vX_[795] * vX_[1001] - vX_[586];
+ vX_[2296] = 0 - (vX_[2758] + vX_[2296] * vX_[283] + vX_[2063] * vX_[279] * 2. + vX_[795] * vX_[1000]) + vX_[3353];
+ vX_[2063] = vX_[2063] + vX_[2981] * vX_[1000];
+ vX_[2131] = vX_[2131] + vX_[466] * vX_[1001];
+ vX_[2758] = vX_[2063] - vX_[2131];
+ vX_[795] = vX_[266] * vX_[2518] + vX_[238] * vX_[2200] + vX_[1000];
+ vX_[3301] = 0 - vX_[2063];
+ vX_[2577] = vX_[2577] + vX_[2981] * vX_[1001] + vX_[466] * vX_[1000];
+ vX_[237] = 0 - vX_[2577];
+ vX_[2284] = (vX_[3301] * vX_[269] + vX_[237] * vX_[250]) * 1 / vX_[262];
+ vX_[3301] = vX_[2338] * vX_[795] + vX_[3229] * vX_[981] + vX_[2397] * vX_[274] + vX_[3088] * vX_[263] + vX_[3301] * vX_[306] + vX_[2284];
+ vX_[2518] = vX_[238] * vX_[2518] + vX_[265] * vX_[2200] + vX_[1001];
+ vX_[2200] = 0 - vX_[2131];
+ vX_[3088] = vX_[2200] * vX_[250] * 1 / vX_[262];
+ vX_[2200] = vX_[2335] * vX_[2518] + vX_[3195] * vX_[981] + vX_[2256] * vX_[274] + vX_[2254] * vX_[263] + vX_[237] * vX_[306] + vX_[2200] * vX_[302] + vX_[3088];
+ vX_[237] = 0 - vX_[2200];
+ vX_[2254] = vX_[2758] * vX_[239] + vX_[2577] * vX_[242];
+ vX_[2256] = vX_[2758] * vX_[241] + vX_[2577] * vX_[239];
+ vX_[2335] = vX_[2254] * vX_[241] + vX_[2256] * vX_[239];
+ vX_[2397] = (vX_[981] - vX_[262] * vX_[2967] - vX_[269] * vX_[795] - vX_[250] * vX_[2518] - vX_[273] * vX_[968] - vX_[260] * vX_[3089]) / vX_[262];
+ vX_[2338] = vX_[2131] + vX_[2254] * vX_[239];
+ vX_[2279] = vX_[2131] + vX_[2256] * vX_[241];
+ vX_[3088] = vX_[2063] + vX_[2131] + 0 - vX_[2339] * vX_[2397] + vX_[2300] * vX_[2967] - vX_[396] * vX_[1005] - vX_[3450] * vX_[959] - vX_[723] * vX_[998] + vX_[723] * vX_[981] - vX_[3229] * vX_[994] - vX_[3195] * vX_[991] - vX_[2612] * vX_[274] - vX_[2303] * vX_[263] - vX_[2284] * vX_[306] - vX_[3088] * vX_[302] - vX_[2338] - vX_[2279];
+ vX_[2284] = 0 - vX_[3088];
+ vX_[2131] = vX_[3353] * vX_[239] + vX_[586] * vX_[242];
+ vX_[2063] = vX_[2131] + vX_[2284] * vX_[247];
+ vX_[2303] = vX_[3353] * vX_[241] + vX_[586] * vX_[239];
+ vX_[2612] = vX_[2303] + vX_[3088] * vX_[244];
+ vX_[3195] = 0 - vX_[2200];
+ vX_[3229] = 0 - vX_[2279];
+ jac[424] = 0 - (vX_[3406] * vX_[990] + vX_[432] * vX_[988] + vX_[2981] * vX_[986] + vX_[466] * vX_[985] + vX_[2549] * vX_[289] + vX_[2301] * vX_[288] + vX_[2126] * -0.466187537174287 + vX_[2521] * 0.00185880198235362 + vX_[3353] * vX_[254] + vX_[586] * vX_[258] + vX_[2306] * vX_[268] + vX_[2575] * vX_[240] + vX_[2493] * vX_[267] + vX_[2567] * vX_[243] + (vX_[2306] * vX_[239] + vX_[2493] * vX_[241]) * -8.81e-05 + (vX_[2575] * vX_[239] + vX_[2567] * vX_[242]) * 8.81e-05 + vX_[2914] * vX_[257] + vX_[2296] * vX_[253] + vX_[2758] * vX_[300] + vX_[3301] * vX_[246] + vX_[2200] * vX_[249] + vX_[2577] * vX_[299] + vX_[237] * vX_[248] + vX_[3301] * vX_[245] + vX_[2254] * vX_[296] + vX_[2256] * vX_[298] + (vX_[2335] * vX_[256] + vX_[2284] * vX_[251] + vX_[2338] * vX_[252] + (0 - vX_[2063]) * 0.414812462825713 + (0 - (vX_[2914] * vX_[241] + vX_[2296] * vX_[239]) + vX_[2131] + vX_[2338] * vX_[247]) * 0.881 + (0 - vX_[2612]) * 0.00185880198235362 + (0 - (vX_[237] * vX_[239] + vX_[3301] * vX_[242] + (vX_[3301] * vX_[241] + vX_[2200] * vX_[239]) * 2.)) * 8.81e-05 + vX_[2335] * 0.0004405 + vX_[2338] * -0.2209548) * -0.35 + vX_[2858] * vX_[969] + vX_[3311] * vX_[958] + vX_[2764] * vX_[963] + vX_[1418] * vX_[960] + (vX_[3235] * vX_[990] + vX_[2858] * vX_[952]) * 0.35) * vX_[3390] + (vX_[3406] * vX_[988] + vX_[2981] * vX_[985] + vX_[2549] * vX_[288] + vX_[2126] * 0.00185880198235362 + vX_[2521] * -7.4114911576828e-06 + vX_[3353] * vX_[258] + vX_[2575] * vX_[243] + vX_[2493] * vX_[268] + (vX_[2306] * vX_[242] + vX_[2493] * vX_[239]) * 8.81e-05 + vX_[2914] * vX_[253] + vX_[2758] * vX_[299] + vX_[3301] * vX_[249] + vX_[3195] * vX_[245] + vX_[2254] * vX_[298] + vX_[2256] * vX_[297] + vX_[3311] * vX_[969] + vX_[1418] * vX_[963] - (vX_[432] * vX_[990] + vX_[2858] * vX_[958]) + (vX_[3235] * vX_[988] + vX_[3088] * vX_[255] + vX_[3229] * vX_[256] + vX_[2063] * 0.00185880198235362 + vX_[2612] * 0.880992588508842 + (0 - (vX_[2914] * vX_[239] + vX_[2296] * vX_[242] + vX_[2303] + vX_[2335] * vX_[247] + vX_[3229] * vX_[244])) * 0.881 + (0 - (vX_[3195] * vX_[241] + vX_[3301] * vX_[239]) + (vX_[3301] * vX_[239] + vX_[2200] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[2335]) * -0.1104774 + (0 - vX_[2279]) * 0.000881 + vX_[3311] * vX_[952]) * 0.35 - (vX_[466] * vX_[986] + vX_[2301] * vX_[289] + vX_[586] * vX_[254] + vX_[2306] * vX_[267] + vX_[2567] * vX_[240] + (vX_[2575] * vX_[241] + vX_[2567] * vX_[239]) * -8.81e-05 + vX_[2296] * vX_[257] + vX_[2200] * vX_[246] + vX_[2577] * vX_[300] + vX_[3301] * vX_[248] + vX_[2764] * vX_[960])) * vX_[3392];
+ vX_[2281] = vX_[2272] + vX_[2049] * vX_[266] + vX_[2281] * vX_[279] + vX_[2991] * vX_[1003];
+ vX_[2903] = vX_[2272] + vX_[2271] * vX_[238] + vX_[2903] * vX_[283] + vX_[3091] * vX_[1004];
+ vX_[2272] = vX_[2281] - vX_[2903];
+ vX_[393] = vX_[2049] * vX_[238] + vX_[2271] * vX_[266] + vX_[2298] * vX_[283] + vX_[393] * vX_[279] + vX_[2991] * vX_[1004] + vX_[3091] * vX_[1003];
+ vX_[2298] = vX_[2272] * vX_[239] + vX_[393] * vX_[242];
+ vX_[2271] = vX_[2272] * vX_[241] + vX_[393] * vX_[239];
+ vX_[2281] = 0 - vX_[2281];
+ vX_[2049] = 0 - vX_[393];
+ vX_[2406] = vX_[2408] * vX_[266] + vX_[2289] * vX_[238] + vX_[2406] * vX_[279] + vX_[2991] * vX_[1000] + vX_[2531] * vX_[1003];
+ vX_[3229] = 0 - vX_[2406];
+ vX_[2123] = vX_[2408] * vX_[238] + vX_[2289] * vX_[265] + vX_[2123] * vX_[279] + vX_[2991] * vX_[1001] + vX_[399] * vX_[1003];
+ vX_[2408] = 0 - vX_[2123];
+ vX_[2289] = (vX_[2281] * vX_[273] + vX_[2049] * vX_[260] + vX_[3229] * vX_[269] + vX_[2408] * vX_[250]) * 1 / vX_[262];
+ vX_[2281] = vX_[2416] * vX_[968] + vX_[3082] * vX_[981] + vX_[2281] * vX_[274] + vX_[2289];
+ vX_[2903] = 0 - vX_[2903];
+ vX_[2452] = vX_[3087] * vX_[266] + vX_[2454] * vX_[238] + vX_[2452] * vX_[283] + vX_[3091] * vX_[1000] + vX_[2531] * vX_[1004];
+ vX_[2416] = 0 - vX_[2452];
+ vX_[1942] = vX_[3087] * vX_[238] + vX_[2454] * vX_[265] + vX_[1942] * vX_[283] + vX_[3091] * vX_[1001] + vX_[399] * vX_[1004];
+ vX_[3087] = 0 - vX_[1942];
+ vX_[2454] = (vX_[2903] * vX_[260] + vX_[2416] * vX_[269] + vX_[3087] * vX_[250]) * 1 / vX_[262];
+ vX_[2903] = vX_[2323] * vX_[3089] + vX_[3009] * vX_[981] + vX_[2049] * vX_[274] + vX_[2903] * vX_[263] + vX_[2454];
+ vX_[2450] = vX_[2943] + vX_[2198] * vX_[279] + vX_[2450] * vX_[283] * 2. + vX_[440] * vX_[1001] - vX_[2903];
+ vX_[2083] = 0 - (vX_[2215] + vX_[2083] * vX_[283] + vX_[2941] * vX_[279] * 2. + vX_[440] * vX_[1000]) + vX_[2281];
+ vX_[2941] = vX_[2941] + vX_[2531] * vX_[1000];
+ vX_[2269] = vX_[2269] + vX_[399] * vX_[1001];
+ vX_[2215] = vX_[2941] - vX_[2269];
+ vX_[440] = 0 - vX_[2941];
+ vX_[2198] = vX_[2198] + vX_[2531] * vX_[1001] + vX_[399] * vX_[1000];
+ vX_[2943] = 0 - vX_[2198];
+ vX_[2049] = (vX_[440] * vX_[269] + vX_[2943] * vX_[250]) * 1 / vX_[262];
+ vX_[440] = vX_[2352] * vX_[795] + vX_[2795] * vX_[981] + vX_[3229] * vX_[274] + vX_[2416] * vX_[263] + vX_[440] * vX_[306] + vX_[2049];
+ vX_[2416] = 0 - vX_[2269];
+ vX_[3229] = vX_[2416] * vX_[250] * 1 / vX_[262];
+ vX_[2416] = vX_[2486] * vX_[2518] + vX_[2739] * vX_[981] + vX_[2408] * vX_[274] + vX_[3087] * vX_[263] + vX_[2943] * vX_[306] + vX_[2416] * vX_[302] + vX_[3229];
+ vX_[2943] = 0 - vX_[2416];
+ vX_[3087] = vX_[2215] * vX_[239] + vX_[2198] * vX_[242];
+ vX_[2408] = vX_[2215] * vX_[241] + vX_[2198] * vX_[239];
+ vX_[2518] = vX_[3087] * vX_[241] + vX_[2408] * vX_[239];
+ vX_[2486] = vX_[2269] + vX_[3087] * vX_[239];
+ vX_[795] = vX_[2269] + vX_[2408] * vX_[241];
+ vX_[3229] = vX_[2941] + vX_[2269] + 0 - vX_[2490] * vX_[2397] + vX_[2451] * vX_[2967] - vX_[3082] * vX_[1005] - vX_[3009] * vX_[959] - vX_[3059] * vX_[998] + vX_[3059] * vX_[981] - vX_[2795] * vX_[994] - vX_[2739] * vX_[991] - vX_[2289] * vX_[274] - vX_[2454] * vX_[263] - vX_[2049] * vX_[306] - vX_[3229] * vX_[302] - vX_[2486] - vX_[795];
+ vX_[2049] = 0 - vX_[3229];
+ vX_[2269] = vX_[2281] * vX_[239] + vX_[2903] * vX_[242];
+ vX_[2941] = vX_[2269] + vX_[2049] * vX_[247];
+ vX_[2454] = vX_[2281] * vX_[241] + vX_[2903] * vX_[239];
+ vX_[2289] = vX_[2454] + vX_[3229] * vX_[244];
+ vX_[2397] = vX_[2967] + vX_[2397];
+ vX_[2967] = 0 - vX_[2416];
+ vX_[2739] = 0 - vX_[795];
+ jac[425] = 0 - (-4.21975478400367 * vX_[968] + 0.0168251785646079 * vX_[3089] + vX_[2991] * vX_[990] + vX_[3091] * vX_[988] + vX_[2531] * vX_[986] + vX_[399] * vX_[985] + vX_[2272] * vX_[289] + vX_[393] * vX_[288] + vX_[2298] * -0.466187537174287 + vX_[2271] * 0.00185880198235362 + vX_[2281] * vX_[254] + vX_[2903] * vX_[258] + vX_[2452] * vX_[268] + vX_[2123] * vX_[240] + vX_[2406] * vX_[267] + vX_[1942] * vX_[243] + (vX_[2452] * vX_[239] + vX_[2406] * vX_[241]) * -8.81e-05 + (vX_[2123] * vX_[239] + vX_[1942] * vX_[242]) * 8.81e-05 + vX_[2450] * vX_[257] + vX_[2083] * vX_[253] + vX_[2215] * vX_[300] + vX_[440] * vX_[246] + vX_[2416] * vX_[249] + vX_[2198] * vX_[299] + vX_[2943] * vX_[248] + vX_[440] * vX_[245] + vX_[3087] * vX_[296] + vX_[2408] * vX_[298] + (vX_[2518] * vX_[256] + vX_[2049] * vX_[251] + vX_[2486] * vX_[252] + (0 - vX_[2941]) * 0.414812462825713 + (0 - (vX_[2450] * vX_[241] + vX_[2083] * vX_[239]) + vX_[2269] + vX_[2486] * vX_[247]) * 0.881 + (0 - vX_[2289]) * 0.00185880198235362 + (0 - (vX_[2943] * vX_[239] + vX_[440] * vX_[242] + (vX_[440] * vX_[241] + vX_[2416] * vX_[239]) * 2.)) * 8.81e-05 + vX_[2518] * 0.0004405 + vX_[2486] * -0.2209548) * -0.35 + vX_[2499] * vX_[969] + vX_[2817] * vX_[958] + vX_[2494] * vX_[963] + vX_[3133] * vX_[960] + (-4.21975478400367 * vX_[2397] + vX_[2596] * vX_[990] + vX_[2499] * vX_[952]) * 0.35) * vX_[3390] + (0.0168251785646079 * vX_[968] + vX_[2991] * vX_[988] + vX_[2531] * vX_[985] + vX_[2272] * vX_[288] + vX_[2298] * 0.00185880198235362 + vX_[2271] * -7.4114911576828e-06 + vX_[2281] * vX_[258] + vX_[2123] * vX_[243] + vX_[2406] * vX_[268] + (vX_[2452] * vX_[242] + vX_[2406] * vX_[239]) * 8.81e-05 + vX_[2450] * vX_[253] + vX_[2215] * vX_[299] + vX_[440] * vX_[249] + vX_[2967] * vX_[245] + vX_[3087] * vX_[298] + vX_[2408] * vX_[297] + vX_[2817] * vX_[969] + vX_[3133] * vX_[963] - (-4.21975478400367 * vX_[3089] + vX_[3091] * vX_[990] + vX_[2499] * vX_[958]) + (0.0168251785646079 * vX_[2397] + vX_[2596] * vX_[988] + vX_[3229] * vX_[255] + vX_[2739] * vX_[256] + vX_[2941] * 0.00185880198235362 + vX_[2289] * 0.880992588508842 + (0 - (vX_[2450] * vX_[239] + vX_[2083] * vX_[242] + vX_[2454] + vX_[2518] * vX_[247] + vX_[2739] * vX_[244])) * 0.881 + (0 - (vX_[2967] * vX_[241] + vX_[440] * vX_[239]) + (vX_[440] * vX_[239] + vX_[2416] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[2518]) * -0.1104774 + (0 - vX_[795]) * 0.000881 + vX_[2817] * vX_[952]) * 0.35 - (vX_[399] * vX_[986] + vX_[393] * vX_[289] + vX_[2903] * vX_[254] + vX_[2452] * vX_[267] + vX_[1942] * vX_[240] + (vX_[2123] * vX_[241] + vX_[1942] * vX_[239]) * -8.81e-05 + vX_[2083] * vX_[257] + vX_[2416] * vX_[246] + vX_[2198] * vX_[300] + vX_[440] * vX_[248] + vX_[2494] * vX_[960])) * vX_[3392];
+ vX_[2238] = vX_[2003] + vX_[1619] * vX_[266] + vX_[2238] * vX_[279] + vX_[2718] * vX_[1003];
+ vX_[3077] = vX_[2003] + vX_[2026] * vX_[238] + vX_[3077] * vX_[283] + vX_[2645] * vX_[1004];
+ vX_[2003] = vX_[2238] - vX_[3077];
+ vX_[1911] = vX_[1619] * vX_[238] + vX_[2026] * vX_[266] + vX_[2433] * vX_[283] + vX_[1911] * vX_[279] + vX_[2718] * vX_[1004] + vX_[2645] * vX_[1003];
+ vX_[2433] = vX_[2003] * vX_[239] + vX_[1911] * vX_[242];
+ vX_[2026] = vX_[2003] * vX_[241] + vX_[1911] * vX_[239];
+ vX_[2238] = 0 - vX_[2238];
+ vX_[1619] = 0 - vX_[1911];
+ vX_[1506] = vX_[2640] * vX_[266] + vX_[1800] * vX_[238] + vX_[1506] * vX_[279] + vX_[2718] * vX_[1000] + vX_[2094] * vX_[1003];
+ vX_[2739] = 0 - vX_[1506];
+ vX_[1675] = vX_[2640] * vX_[238] + vX_[1800] * vX_[265] + vX_[1675] * vX_[279] + vX_[2718] * vX_[1001] + vX_[3151] * vX_[1003];
+ vX_[2640] = 0 - vX_[1675];
+ vX_[1800] = (vX_[2238] * vX_[273] + vX_[1619] * vX_[260] + vX_[2739] * vX_[269] + vX_[2640] * vX_[250]) * 1 / vX_[262];
+ vX_[2238] = vX_[2611] * vX_[981] + vX_[2238] * vX_[274] + vX_[1800];
+ vX_[3077] = 0 - vX_[3077];
+ vX_[1836] = vX_[1653] * vX_[266] + vX_[1909] * vX_[238] + vX_[1836] * vX_[283] + vX_[2645] * vX_[1000] + vX_[2094] * vX_[1004];
+ vX_[2967] = 0 - vX_[1836];
+ vX_[1998] = vX_[1653] * vX_[238] + vX_[1909] * vX_[265] + vX_[1998] * vX_[283] + vX_[2645] * vX_[1001] + vX_[3151] * vX_[1004];
+ vX_[1653] = 0 - vX_[1998];
+ vX_[1909] = (vX_[3077] * vX_[260] + vX_[2967] * vX_[269] + vX_[1653] * vX_[250]) * 1 / vX_[262];
+ vX_[3077] = vX_[2565] * vX_[981] + vX_[1619] * vX_[274] + vX_[3077] * vX_[263] + vX_[1909];
+ vX_[1985] = vX_[2445] + vX_[1913] * vX_[279] + vX_[1985] * vX_[283] * 2. + vX_[3124] * vX_[1001] - vX_[3077];
+ vX_[1807] = 0 - (vX_[2018] + vX_[1807] * vX_[283] + vX_[2431] * vX_[279] * 2. + vX_[3124] * vX_[1000]) + vX_[2238];
+ vX_[2431] = vX_[2431] + vX_[2094] * vX_[1000];
+ vX_[2491] = vX_[2491] + vX_[3151] * vX_[1001];
+ vX_[2018] = vX_[2431] - vX_[2491];
+ vX_[3124] = 0 - vX_[2431];
+ vX_[1913] = vX_[1913] + vX_[2094] * vX_[1001] + vX_[3151] * vX_[1000];
+ vX_[2445] = 0 - vX_[1913];
+ vX_[1619] = (vX_[3124] * vX_[269] + vX_[2445] * vX_[250]) * 1 / vX_[262];
+ vX_[3124] = vX_[2495] * vX_[981] + vX_[2739] * vX_[274] + vX_[2967] * vX_[263] + vX_[3124] * vX_[306] + vX_[1619];
+ vX_[2967] = 0 - vX_[2491];
+ vX_[2739] = vX_[2967] * vX_[250] * 1 / vX_[262];
+ vX_[2967] = vX_[2464] * vX_[981] + vX_[2640] * vX_[274] + vX_[1653] * vX_[263] + vX_[2445] * vX_[306] + vX_[2967] * vX_[302] + vX_[2739];
+ vX_[2445] = 0 - vX_[2967];
+ vX_[1653] = vX_[2018] * vX_[239] + vX_[1913] * vX_[242];
+ vX_[2640] = vX_[2018] * vX_[241] + vX_[1913] * vX_[239];
+ vX_[2397] = vX_[1653] * vX_[241] + vX_[2640] * vX_[239];
+ vX_[2289] = vX_[2491] + vX_[1653] * vX_[239];
+ vX_[2454] = vX_[2491] + vX_[2640] * vX_[241];
+ vX_[2739] = vX_[2431] + vX_[2491] + 0 - vX_[2611] * vX_[1005] - vX_[2565] * vX_[959] - vX_[2649] * vX_[998] + vX_[2649] * vX_[981] - vX_[2495] * vX_[994] - vX_[2464] * vX_[991] - vX_[1800] * vX_[274] - vX_[1909] * vX_[263] - vX_[1619] * vX_[306] - vX_[2739] * vX_[302] - vX_[2289] - vX_[2454];
+ vX_[1619] = 0 - vX_[2739];
+ vX_[2491] = vX_[2238] * vX_[239] + vX_[3077] * vX_[242];
+ vX_[2431] = vX_[2491] + vX_[1619] * vX_[247];
+ vX_[1909] = vX_[2238] * vX_[241] + vX_[3077] * vX_[239];
+ vX_[1800] = vX_[1909] + vX_[2739] * vX_[244];
+ vX_[2464] = 0 - vX_[2967];
+ vX_[2495] = 0 - vX_[2454];
+ jac[426] = 0 - (vX_[2718] * vX_[990] + vX_[2645] * vX_[988] + vX_[2094] * vX_[986] + vX_[3151] * vX_[985] + vX_[2003] * vX_[289] + vX_[1911] * vX_[288] + vX_[2433] * -0.466187537174287 + vX_[2026] * 0.00185880198235362 + vX_[2238] * vX_[254] + vX_[3077] * vX_[258] + vX_[1836] * vX_[268] + vX_[1675] * vX_[240] + vX_[1506] * vX_[267] + vX_[1998] * vX_[243] + (vX_[1836] * vX_[239] + vX_[1506] * vX_[241]) * -8.81e-05 + (vX_[1675] * vX_[239] + vX_[1998] * vX_[242]) * 8.81e-05 + vX_[1985] * vX_[257] + vX_[1807] * vX_[253] + vX_[2018] * vX_[300] + vX_[3124] * vX_[246] + vX_[2967] * vX_[249] + vX_[1913] * vX_[299] + vX_[2445] * vX_[248] + vX_[3124] * vX_[245] + vX_[1653] * vX_[296] + vX_[2640] * vX_[298] + (vX_[2397] * vX_[256] + vX_[1619] * vX_[251] + vX_[2289] * vX_[252] + (0 - vX_[2431]) * 0.414812462825713 + (0 - (vX_[1985] * vX_[241] + vX_[1807] * vX_[239]) + vX_[2491] + vX_[2289] * vX_[247]) * 0.881 + (0 - vX_[1800]) * 0.00185880198235362 + (0 - (vX_[2445] * vX_[239] + vX_[3124] * vX_[242] + (vX_[3124] * vX_[241] + vX_[2967] * vX_[239]) * 2.)) * 8.81e-05 + vX_[2397] * 0.0004405 + vX_[2289] * -0.2209548) * -0.35 + vX_[2133] * vX_[969] + vX_[2435] * vX_[958] + vX_[1952] * vX_[963] + vX_[2868] * vX_[960] + (vX_[2308] * vX_[990] + vX_[2133] * vX_[952]) * 0.35) * vX_[3390] + (vX_[2718] * vX_[988] + vX_[2094] * vX_[985] + vX_[2003] * vX_[288] + vX_[2433] * 0.00185880198235362 + vX_[2026] * -7.4114911576828e-06 + vX_[2238] * vX_[258] + vX_[1675] * vX_[243] + vX_[1506] * vX_[268] + (vX_[1836] * vX_[242] + vX_[1506] * vX_[239]) * 8.81e-05 + vX_[1985] * vX_[253] + vX_[2018] * vX_[299] + vX_[3124] * vX_[249] + vX_[2464] * vX_[245] + vX_[1653] * vX_[298] + vX_[2640] * vX_[297] + vX_[2435] * vX_[969] + vX_[2868] * vX_[963] - (vX_[2645] * vX_[990] + vX_[2133] * vX_[958]) + (vX_[2308] * vX_[988] + vX_[2739] * vX_[255] + vX_[2495] * vX_[256] + vX_[2431] * 0.00185880198235362 + vX_[1800] * 0.880992588508842 + (0 - (vX_[1985] * vX_[239] + vX_[1807] * vX_[242] + vX_[1909] + vX_[2397] * vX_[247] + vX_[2495] * vX_[244])) * 0.881 + (0 - (vX_[2464] * vX_[241] + vX_[3124] * vX_[239]) + (vX_[3124] * vX_[239] + vX_[2967] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[2397]) * -0.1104774 + (0 - vX_[2454]) * 0.000881 + vX_[2435] * vX_[952]) * 0.35 - (vX_[3151] * vX_[986] + vX_[1911] * vX_[289] + vX_[3077] * vX_[254] + vX_[1836] * vX_[267] + vX_[1998] * vX_[240] + (vX_[1675] * vX_[241] + vX_[1998] * vX_[239]) * -8.81e-05 + vX_[1807] * vX_[257] + vX_[2967] * vX_[246] + vX_[1913] * vX_[300] + vX_[3124] * vX_[248] + vX_[1952] * vX_[960])) * vX_[3392];
+ vX_[2169] = vX_[1457] + vX_[1325] * vX_[266] + vX_[2169] * vX_[279] + vX_[2185] * vX_[1003];
+ vX_[2708] = vX_[1457] + vX_[1556] * vX_[238] + vX_[2708] * vX_[283] + vX_[2154] * vX_[1004];
+ vX_[1457] = vX_[2169] - vX_[2708];
+ vX_[1502] = vX_[1325] * vX_[238] + vX_[1556] * vX_[266] + vX_[1566] * vX_[283] + vX_[1502] * vX_[279] + vX_[2185] * vX_[1004] + vX_[2154] * vX_[1003];
+ vX_[1566] = vX_[1457] * vX_[239] + vX_[1502] * vX_[242];
+ vX_[1556] = vX_[1457] * vX_[241] + vX_[1502] * vX_[239];
+ vX_[2169] = 0 - vX_[2169];
+ vX_[1325] = 0 - vX_[1502];
+ vX_[1275] = vX_[2078] * vX_[266] + vX_[1318] * vX_[238] + vX_[1275] * vX_[279] + vX_[2185] * vX_[1000] + vX_[1997] * vX_[1003];
+ vX_[2495] = 0 - vX_[1275];
+ vX_[1333] = vX_[2078] * vX_[238] + vX_[1318] * vX_[265] + vX_[1333] * vX_[279] + vX_[2185] * vX_[1001] + vX_[2050] * vX_[1003];
+ vX_[2078] = 0 - vX_[1333];
+ vX_[1318] = (vX_[2169] * vX_[273] + vX_[1325] * vX_[260] + vX_[2495] * vX_[269] + vX_[2078] * vX_[250]) * 1 / vX_[262];
+ vX_[2169] = vX_[2155] * vX_[981] + vX_[2169] * vX_[274] + vX_[1318];
+ vX_[2708] = 0 - vX_[2708];
+ vX_[1426] = vX_[1319] * vX_[266] + vX_[1357] * vX_[238] + vX_[1426] * vX_[283] + vX_[2154] * vX_[1000] + vX_[1997] * vX_[1004];
+ vX_[2464] = 0 - vX_[1426];
+ vX_[1852] = vX_[1319] * vX_[238] + vX_[1357] * vX_[265] + vX_[1852] * vX_[283] + vX_[2154] * vX_[1001] + vX_[2050] * vX_[1004];
+ vX_[1319] = 0 - vX_[1852];
+ vX_[1357] = (vX_[2708] * vX_[260] + vX_[2464] * vX_[269] + vX_[1319] * vX_[250]) * 1 / vX_[262];
+ vX_[2708] = vX_[2107] * vX_[981] + vX_[1325] * vX_[274] + vX_[2708] * vX_[263] + vX_[1357];
+ vX_[1600] = vX_[2008] + vX_[1504] * vX_[279] + vX_[1600] * vX_[283] * 2. + vX_[2366] * vX_[1001] - vX_[2708];
+ vX_[1392] = 0 - (vX_[1416] + vX_[1392] * vX_[283] + vX_[2707] * vX_[279] * 2. + vX_[2366] * vX_[1000]) + vX_[2169];
+ vX_[2707] = vX_[2707] + vX_[1997] * vX_[1000];
+ vX_[1977] = vX_[1977] + vX_[2050] * vX_[1001];
+ vX_[1416] = vX_[2707] - vX_[1977];
+ vX_[2366] = 0 - vX_[2707];
+ vX_[1504] = vX_[1504] + vX_[1997] * vX_[1001] + vX_[2050] * vX_[1000];
+ vX_[2008] = 0 - vX_[1504];
+ vX_[1325] = (vX_[2366] * vX_[269] + vX_[2008] * vX_[250]) * 1 / vX_[262];
+ vX_[2366] = vX_[2061] * vX_[981] + vX_[2495] * vX_[274] + vX_[2464] * vX_[263] + vX_[2366] * vX_[306] + vX_[1325];
+ vX_[2464] = 0 - vX_[1977];
+ vX_[2495] = vX_[2464] * vX_[250] * 1 / vX_[262];
+ vX_[2464] = vX_[1975] * vX_[981] + vX_[2078] * vX_[274] + vX_[1319] * vX_[263] + vX_[2008] * vX_[306] + vX_[2464] * vX_[302] + vX_[2495];
+ vX_[2008] = 0 - vX_[2464];
+ vX_[1319] = vX_[1416] * vX_[239] + vX_[1504] * vX_[242];
+ vX_[2078] = vX_[1416] * vX_[241] + vX_[1504] * vX_[239];
+ vX_[1800] = vX_[1319] * vX_[241] + vX_[2078] * vX_[239];
+ vX_[1909] = vX_[1977] + vX_[1319] * vX_[239];
+ vX_[2431] = vX_[1977] + vX_[2078] * vX_[241];
+ vX_[2495] = vX_[2707] + vX_[1977] + 0 - vX_[2155] * vX_[1005] - vX_[2107] * vX_[959] - vX_[2203] * vX_[998] + vX_[2203] * vX_[981] - vX_[2061] * vX_[994] - vX_[1975] * vX_[991] - vX_[1318] * vX_[274] - vX_[1357] * vX_[263] - vX_[1325] * vX_[306] - vX_[2495] * vX_[302] - vX_[1909] - vX_[2431];
+ vX_[1325] = 0 - vX_[2495];
+ vX_[1977] = vX_[2169] * vX_[239] + vX_[2708] * vX_[242];
+ vX_[2707] = vX_[1977] + vX_[1325] * vX_[247];
+ vX_[1357] = vX_[2169] * vX_[241] + vX_[2708] * vX_[239];
+ vX_[1318] = vX_[1357] + vX_[2495] * vX_[244];
+ vX_[1975] = 0 - vX_[2464];
+ vX_[2061] = 0 - vX_[2431];
+ jac[427] = 0 - (vX_[2185] * vX_[990] + vX_[2154] * vX_[988] + vX_[1997] * vX_[986] + vX_[2050] * vX_[985] + vX_[1457] * vX_[289] + vX_[1502] * vX_[288] + vX_[1566] * -0.466187537174287 + vX_[1556] * 0.00185880198235362 + vX_[2169] * vX_[254] + vX_[2708] * vX_[258] + vX_[1426] * vX_[268] + vX_[1333] * vX_[240] + vX_[1275] * vX_[267] + vX_[1852] * vX_[243] + (vX_[1426] * vX_[239] + vX_[1275] * vX_[241]) * -8.81e-05 + (vX_[1333] * vX_[239] + vX_[1852] * vX_[242]) * 8.81e-05 + vX_[1600] * vX_[257] + vX_[1392] * vX_[253] + vX_[1416] * vX_[300] + vX_[2366] * vX_[246] + vX_[2464] * vX_[249] + vX_[1504] * vX_[299] + vX_[2008] * vX_[248] + vX_[2366] * vX_[245] + vX_[1319] * vX_[296] + vX_[2078] * vX_[298] + (vX_[1800] * vX_[256] + vX_[1325] * vX_[251] + vX_[1909] * vX_[252] + (0 - vX_[2707]) * 0.414812462825713 + (0 - (vX_[1600] * vX_[241] + vX_[1392] * vX_[239]) + vX_[1977] + vX_[1909] * vX_[247]) * 0.881 + (0 - vX_[1318]) * 0.00185880198235362 + (0 - (vX_[2008] * vX_[239] + vX_[2366] * vX_[242] + (vX_[2366] * vX_[241] + vX_[2464] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1800] * 0.0004405 + vX_[1909] * -0.2209548) * -0.35 + vX_[1699] * vX_[969] + vX_[1959] * vX_[958] + vX_[1460] * vX_[963] + vX_[454] * vX_[960] + (vX_[2027] * vX_[990] + vX_[1699] * vX_[952]) * 0.35) * vX_[3390] + (vX_[2185] * vX_[988] + vX_[1997] * vX_[985] + vX_[1457] * vX_[288] + vX_[1566] * 0.00185880198235362 + vX_[1556] * -7.4114911576828e-06 + vX_[2169] * vX_[258] + vX_[1333] * vX_[243] + vX_[1275] * vX_[268] + (vX_[1426] * vX_[242] + vX_[1275] * vX_[239]) * 8.81e-05 + vX_[1600] * vX_[253] + vX_[1416] * vX_[299] + vX_[2366] * vX_[249] + vX_[1975] * vX_[245] + vX_[1319] * vX_[298] + vX_[2078] * vX_[297] + vX_[1959] * vX_[969] + vX_[454] * vX_[963] - (vX_[2154] * vX_[990] + vX_[1699] * vX_[958]) + (vX_[2027] * vX_[988] + vX_[2495] * vX_[255] + vX_[2061] * vX_[256] + vX_[2707] * 0.00185880198235362 + vX_[1318] * 0.880992588508842 + (0 - (vX_[1600] * vX_[239] + vX_[1392] * vX_[242] + vX_[1357] + vX_[1800] * vX_[247] + vX_[2061] * vX_[244])) * 0.881 + (0 - (vX_[1975] * vX_[241] + vX_[2366] * vX_[239]) + (vX_[2366] * vX_[239] + vX_[2464] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1800]) * -0.1104774 + (0 - vX_[2431]) * 0.000881 + vX_[1959] * vX_[952]) * 0.35 - (vX_[2050] * vX_[986] + vX_[1502] * vX_[289] + vX_[2708] * vX_[254] + vX_[1426] * vX_[267] + vX_[1852] * vX_[240] + (vX_[1333] * vX_[241] + vX_[1852] * vX_[239]) * -8.81e-05 + vX_[1392] * vX_[257] + vX_[2464] * vX_[246] + vX_[1504] * vX_[300] + vX_[2366] * vX_[248] + vX_[1460] * vX_[960])) * vX_[3392];
+ vX_[1726] = vX_[1182] + vX_[686] * vX_[266] + vX_[1726] * vX_[279] + vX_[2058] * vX_[1003];
+ vX_[2347] = vX_[1182] + vX_[1207] * vX_[238] + vX_[2347] * vX_[283] + vX_[1856] * vX_[1004];
+ vX_[1182] = vX_[1726] - vX_[2347];
+ vX_[1053] = vX_[686] * vX_[238] + vX_[1207] * vX_[266] + vX_[1371] * vX_[283] + vX_[1053] * vX_[279] + vX_[2058] * vX_[1004] + vX_[1856] * vX_[1003];
+ vX_[1371] = vX_[1182] * vX_[239] + vX_[1053] * vX_[242];
+ vX_[1207] = vX_[1182] * vX_[241] + vX_[1053] * vX_[239];
+ vX_[1726] = 0 - vX_[1726];
+ vX_[686] = 0 - vX_[1053];
+ vX_[763] = vX_[1741] * vX_[266] + vX_[1041] * vX_[238] + vX_[763] * vX_[279] + vX_[2058] * vX_[1000] + vX_[1375] * vX_[1003];
+ vX_[2061] = 0 - vX_[763];
+ vX_[3443] = vX_[1741] * vX_[238] + vX_[1041] * vX_[265] + vX_[3443] * vX_[279] + vX_[2058] * vX_[1001] + vX_[1581] * vX_[1003];
+ vX_[1741] = 0 - vX_[3443];
+ vX_[1041] = (vX_[1726] * vX_[273] + vX_[686] * vX_[260] + vX_[2061] * vX_[269] + vX_[1741] * vX_[250]) * 1 / vX_[262];
+ vX_[1726] = vX_[1871] * vX_[981] + vX_[1726] * vX_[274] + vX_[1041];
+ vX_[2347] = 0 - vX_[2347];
+ vX_[1042] = vX_[3274] * vX_[266] + vX_[1103] * vX_[238] + vX_[1042] * vX_[283] + vX_[1856] * vX_[1000] + vX_[1375] * vX_[1004];
+ vX_[1975] = 0 - vX_[1042];
+ vX_[1425] = vX_[3274] * vX_[238] + vX_[1103] * vX_[265] + vX_[1425] * vX_[283] + vX_[1856] * vX_[1001] + vX_[1581] * vX_[1004];
+ vX_[3274] = 0 - vX_[1425];
+ vX_[1103] = (vX_[2347] * vX_[260] + vX_[1975] * vX_[269] + vX_[3274] * vX_[250]) * 1 / vX_[262];
+ vX_[2347] = vX_[1885] * vX_[981] + vX_[686] * vX_[274] + vX_[2347] * vX_[263] + vX_[1103];
+ vX_[1162] = vX_[1744] + vX_[1022] * vX_[279] + vX_[1162] * vX_[283] * 2. + vX_[2055] * vX_[1001] - vX_[2347];
+ vX_[1055] = 0 - (vX_[1025] + vX_[1055] * vX_[283] + vX_[2174] * vX_[279] * 2. + vX_[2055] * vX_[1000]) + vX_[1726];
+ vX_[2174] = vX_[2174] + vX_[1375] * vX_[1000];
+ vX_[1522] = vX_[1522] + vX_[1581] * vX_[1001];
+ vX_[1025] = vX_[2174] - vX_[1522];
+ vX_[2055] = 0 - vX_[2174];
+ vX_[1022] = vX_[1022] + vX_[1375] * vX_[1001] + vX_[1581] * vX_[1000];
+ vX_[1744] = 0 - vX_[1022];
+ vX_[686] = (vX_[2055] * vX_[269] + vX_[1744] * vX_[250]) * 1 / vX_[262];
+ vX_[2055] = vX_[1596] * vX_[981] + vX_[2061] * vX_[274] + vX_[1975] * vX_[263] + vX_[2055] * vX_[306] + vX_[686];
+ vX_[1975] = 0 - vX_[1522];
+ vX_[2061] = vX_[1975] * vX_[250] * 1 / vX_[262];
+ vX_[1975] = vX_[1687] * vX_[981] + vX_[1741] * vX_[274] + vX_[3274] * vX_[263] + vX_[1744] * vX_[306] + vX_[1975] * vX_[302] + vX_[2061];
+ vX_[1744] = 0 - vX_[1975];
+ vX_[3274] = vX_[1025] * vX_[239] + vX_[1022] * vX_[242];
+ vX_[1741] = vX_[1025] * vX_[241] + vX_[1022] * vX_[239];
+ vX_[1318] = vX_[3274] * vX_[241] + vX_[1741] * vX_[239];
+ vX_[1357] = vX_[1522] + vX_[3274] * vX_[239];
+ vX_[2707] = vX_[1522] + vX_[1741] * vX_[241];
+ vX_[2061] = vX_[2174] + vX_[1522] + 0 - vX_[1871] * vX_[1005] - vX_[1885] * vX_[959] - vX_[1875] * vX_[998] + vX_[1875] * vX_[981] - vX_[1596] * vX_[994] - vX_[1687] * vX_[991] - vX_[1041] * vX_[274] - vX_[1103] * vX_[263] - vX_[686] * vX_[306] - vX_[2061] * vX_[302] - vX_[1357] - vX_[2707];
+ vX_[686] = 0 - vX_[2061];
+ vX_[1522] = vX_[1726] * vX_[239] + vX_[2347] * vX_[242];
+ vX_[2174] = vX_[1522] + vX_[686] * vX_[247];
+ vX_[1103] = vX_[1726] * vX_[241] + vX_[2347] * vX_[239];
+ vX_[1041] = vX_[1103] + vX_[2061] * vX_[244];
+ vX_[1687] = 0 - vX_[1975];
+ vX_[1596] = 0 - vX_[2707];
+ jac[428] = 0 - (vX_[2058] * vX_[990] + vX_[1856] * vX_[988] + vX_[1375] * vX_[986] + vX_[1581] * vX_[985] + vX_[1182] * vX_[289] + vX_[1053] * vX_[288] + vX_[1371] * -0.466187537174287 + vX_[1207] * 0.00185880198235362 + vX_[1726] * vX_[254] + vX_[2347] * vX_[258] + vX_[1042] * vX_[268] + vX_[3443] * vX_[240] + vX_[763] * vX_[267] + vX_[1425] * vX_[243] + (vX_[1042] * vX_[239] + vX_[763] * vX_[241]) * -8.81e-05 + (vX_[3443] * vX_[239] + vX_[1425] * vX_[242]) * 8.81e-05 + vX_[1162] * vX_[257] + vX_[1055] * vX_[253] + vX_[1025] * vX_[300] + vX_[2055] * vX_[246] + vX_[1975] * vX_[249] + vX_[1022] * vX_[299] + vX_[1744] * vX_[248] + vX_[2055] * vX_[245] + vX_[3274] * vX_[296] + vX_[1741] * vX_[298] + (vX_[1318] * vX_[256] + vX_[686] * vX_[251] + vX_[1357] * vX_[252] + (0 - vX_[2174]) * 0.414812462825713 + (0 - (vX_[1162] * vX_[241] + vX_[1055] * vX_[239]) + vX_[1522] + vX_[1357] * vX_[247]) * 0.881 + (0 - vX_[1041]) * 0.00185880198235362 + (0 - (vX_[1744] * vX_[239] + vX_[2055] * vX_[242] + (vX_[2055] * vX_[241] + vX_[1975] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1318] * 0.0004405 + vX_[1357] * -0.2209548) * -0.35 + vX_[1339] * vX_[969] + vX_[1567] * vX_[958] + vX_[1283] * vX_[963] + vX_[1933] * vX_[960] + (vX_[1629] * vX_[990] + vX_[1339] * vX_[952]) * 0.35) * vX_[3390] + (vX_[2058] * vX_[988] + vX_[1375] * vX_[985] + vX_[1182] * vX_[288] + vX_[1371] * 0.00185880198235362 + vX_[1207] * -7.4114911576828e-06 + vX_[1726] * vX_[258] + vX_[3443] * vX_[243] + vX_[763] * vX_[268] + (vX_[1042] * vX_[242] + vX_[763] * vX_[239]) * 8.81e-05 + vX_[1162] * vX_[253] + vX_[1025] * vX_[299] + vX_[2055] * vX_[249] + vX_[1687] * vX_[245] + vX_[3274] * vX_[298] + vX_[1741] * vX_[297] + vX_[1567] * vX_[969] + vX_[1933] * vX_[963] - (vX_[1856] * vX_[990] + vX_[1339] * vX_[958]) + (vX_[1629] * vX_[988] + vX_[2061] * vX_[255] + vX_[1596] * vX_[256] + vX_[2174] * 0.00185880198235362 + vX_[1041] * 0.880992588508842 + (0 - (vX_[1162] * vX_[239] + vX_[1055] * vX_[242] + vX_[1103] + vX_[1318] * vX_[247] + vX_[1596] * vX_[244])) * 0.881 + (0 - (vX_[1687] * vX_[241] + vX_[2055] * vX_[239]) + (vX_[2055] * vX_[239] + vX_[1975] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1318]) * -0.1104774 + (0 - vX_[2707]) * 0.000881 + vX_[1567] * vX_[952]) * 0.35 - (vX_[1581] * vX_[986] + vX_[1053] * vX_[289] + vX_[2347] * vX_[254] + vX_[1042] * vX_[267] + vX_[1425] * vX_[240] + (vX_[3443] * vX_[241] + vX_[1425] * vX_[239]) * -8.81e-05 + vX_[1055] * vX_[257] + vX_[1975] * vX_[246] + vX_[1022] * vX_[300] + vX_[2055] * vX_[248] + vX_[1283] * vX_[960])) * vX_[3392];
+ vX_[1217] = vX_[576] + vX_[612] * vX_[266] + vX_[1217] * vX_[279] + vX_[1631] * vX_[1003];
+ vX_[1827] = vX_[576] + vX_[579] * vX_[238] + vX_[1827] * vX_[283] + vX_[1450] * vX_[1004];
+ vX_[576] = vX_[1217] - vX_[1827];
+ vX_[518] = vX_[612] * vX_[238] + vX_[579] * vX_[266] + vX_[684] * vX_[283] + vX_[518] * vX_[279] + vX_[1631] * vX_[1004] + vX_[1450] * vX_[1003];
+ vX_[684] = vX_[576] * vX_[239] + vX_[518] * vX_[242];
+ vX_[579] = vX_[576] * vX_[241] + vX_[518] * vX_[239];
+ vX_[1217] = 0 - vX_[1217];
+ vX_[612] = 0 - vX_[518];
+ vX_[453] = vX_[1448] * vX_[266] + vX_[574] * vX_[238] + vX_[453] * vX_[279] + vX_[1631] * vX_[1000] + vX_[1236] * vX_[1003];
+ vX_[1596] = 0 - vX_[453];
+ vX_[422] = vX_[1448] * vX_[238] + vX_[574] * vX_[265] + vX_[422] * vX_[279] + vX_[1631] * vX_[1001] + vX_[1115] * vX_[1003];
+ vX_[1448] = 0 - vX_[422];
+ vX_[574] = (vX_[1217] * vX_[273] + vX_[612] * vX_[260] + vX_[1596] * vX_[269] + vX_[1448] * vX_[250]) * 1 / vX_[262];
+ vX_[1217] = vX_[1465] * vX_[981] + vX_[1217] * vX_[274] + vX_[574];
+ vX_[1827] = 0 - vX_[1827];
+ vX_[464] = vX_[3481] * vX_[266] + vX_[523] * vX_[238] + vX_[464] * vX_[283] + vX_[1450] * vX_[1000] + vX_[1236] * vX_[1004];
+ vX_[1687] = 0 - vX_[464];
+ vX_[1048] = vX_[3481] * vX_[238] + vX_[523] * vX_[265] + vX_[1048] * vX_[283] + vX_[1450] * vX_[1001] + vX_[1115] * vX_[1004];
+ vX_[3481] = 0 - vX_[1048];
+ vX_[523] = (vX_[1827] * vX_[260] + vX_[1687] * vX_[269] + vX_[3481] * vX_[250]) * 1 / vX_[262];
+ vX_[1827] = vX_[1498] * vX_[981] + vX_[612] * vX_[274] + vX_[1827] * vX_[263] + vX_[523];
+ vX_[575] = vX_[1444] + vX_[470] * vX_[279] + vX_[575] * vX_[283] * 2. + vX_[1762] * vX_[1001] - vX_[1827];
+ vX_[570] = 0 - (vX_[597] + vX_[570] * vX_[283] + vX_[1688] * vX_[279] * 2. + vX_[1762] * vX_[1000]) + vX_[1217];
+ vX_[1688] = vX_[1688] + vX_[1236] * vX_[1000];
+ vX_[1188] = vX_[1188] + vX_[1115] * vX_[1001];
+ vX_[597] = vX_[1688] - vX_[1188];
+ vX_[1762] = 0 - vX_[1688];
+ vX_[470] = vX_[470] + vX_[1236] * vX_[1001] + vX_[1115] * vX_[1000];
+ vX_[1444] = 0 - vX_[470];
+ vX_[612] = (vX_[1762] * vX_[269] + vX_[1444] * vX_[250]) * 1 / vX_[262];
+ vX_[1762] = vX_[1135] * vX_[981] + vX_[1596] * vX_[274] + vX_[1687] * vX_[263] + vX_[1762] * vX_[306] + vX_[612];
+ vX_[1687] = 0 - vX_[1188];
+ vX_[1596] = vX_[1687] * vX_[250] * 1 / vX_[262];
+ vX_[1687] = vX_[1338] * vX_[981] + vX_[1448] * vX_[274] + vX_[3481] * vX_[263] + vX_[1444] * vX_[306] + vX_[1687] * vX_[302] + vX_[1596];
+ vX_[1444] = 0 - vX_[1687];
+ vX_[3481] = vX_[597] * vX_[239] + vX_[470] * vX_[242];
+ vX_[1448] = vX_[597] * vX_[241] + vX_[470] * vX_[239];
+ vX_[1041] = vX_[3481] * vX_[241] + vX_[1448] * vX_[239];
+ vX_[1103] = vX_[1188] + vX_[3481] * vX_[239];
+ vX_[2174] = vX_[1188] + vX_[1448] * vX_[241];
+ vX_[1596] = vX_[1688] + vX_[1188] + 0 - vX_[1465] * vX_[1005] - vX_[1498] * vX_[959] - vX_[1464] * vX_[998] + vX_[1464] * vX_[981] - vX_[1135] * vX_[994] - vX_[1338] * vX_[991] - vX_[574] * vX_[274] - vX_[523] * vX_[263] - vX_[612] * vX_[306] - vX_[1596] * vX_[302] - vX_[1103] - vX_[2174];
+ vX_[612] = 0 - vX_[1596];
+ vX_[1188] = vX_[1217] * vX_[239] + vX_[1827] * vX_[242];
+ vX_[1688] = vX_[1188] + vX_[612] * vX_[247];
+ vX_[523] = vX_[1217] * vX_[241] + vX_[1827] * vX_[239];
+ vX_[574] = vX_[523] + vX_[1596] * vX_[244];
+ vX_[1338] = 0 - vX_[1687];
+ vX_[1135] = 0 - vX_[2174];
+ jac[429] = 0 - (vX_[1631] * vX_[990] + vX_[1450] * vX_[988] + vX_[1236] * vX_[986] + vX_[1115] * vX_[985] + vX_[576] * vX_[289] + vX_[518] * vX_[288] + vX_[684] * -0.466187537174287 + vX_[579] * 0.00185880198235362 + vX_[1217] * vX_[254] + vX_[1827] * vX_[258] + vX_[464] * vX_[268] + vX_[422] * vX_[240] + vX_[453] * vX_[267] + vX_[1048] * vX_[243] + (vX_[464] * vX_[239] + vX_[453] * vX_[241]) * -8.81e-05 + (vX_[422] * vX_[239] + vX_[1048] * vX_[242]) * 8.81e-05 + vX_[575] * vX_[257] + vX_[570] * vX_[253] + vX_[597] * vX_[300] + vX_[1762] * vX_[246] + vX_[1687] * vX_[249] + vX_[470] * vX_[299] + vX_[1444] * vX_[248] + vX_[1762] * vX_[245] + vX_[3481] * vX_[296] + vX_[1448] * vX_[298] + (vX_[1041] * vX_[256] + vX_[612] * vX_[251] + vX_[1103] * vX_[252] + (0 - vX_[1688]) * 0.414812462825713 + (0 - (vX_[575] * vX_[241] + vX_[570] * vX_[239]) + vX_[1188] + vX_[1103] * vX_[247]) * 0.881 + (0 - vX_[574]) * 0.00185880198235362 + (0 - (vX_[1444] * vX_[239] + vX_[1762] * vX_[242] + (vX_[1762] * vX_[241] + vX_[1687] * vX_[239]) * 2.)) * 8.81e-05 + vX_[1041] * 0.0004405 + vX_[1103] * -0.2209548) * -0.35 + vX_[3451] * vX_[969] + vX_[1166] * vX_[958] + vX_[655] * vX_[963] + vX_[1642] * vX_[960] + (vX_[1203] * vX_[990] + vX_[3451] * vX_[952]) * 0.35) * vX_[3390] + (vX_[1631] * vX_[988] + vX_[1236] * vX_[985] + vX_[576] * vX_[288] + vX_[684] * 0.00185880198235362 + vX_[579] * -7.4114911576828e-06 + vX_[1217] * vX_[258] + vX_[422] * vX_[243] + vX_[453] * vX_[268] + (vX_[464] * vX_[242] + vX_[453] * vX_[239]) * 8.81e-05 + vX_[575] * vX_[253] + vX_[597] * vX_[299] + vX_[1762] * vX_[249] + vX_[1338] * vX_[245] + vX_[3481] * vX_[298] + vX_[1448] * vX_[297] + vX_[1166] * vX_[969] + vX_[1642] * vX_[963] - (vX_[1450] * vX_[990] + vX_[3451] * vX_[958]) + (vX_[1203] * vX_[988] + vX_[1596] * vX_[255] + vX_[1135] * vX_[256] + vX_[1688] * 0.00185880198235362 + vX_[574] * 0.880992588508842 + (0 - (vX_[575] * vX_[239] + vX_[570] * vX_[242] + vX_[523] + vX_[1041] * vX_[247] + vX_[1135] * vX_[244])) * 0.881 + (0 - (vX_[1338] * vX_[241] + vX_[1762] * vX_[239]) + (vX_[1762] * vX_[239] + vX_[1687] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[1041]) * -0.1104774 + (0 - vX_[2174]) * 0.000881 + vX_[1166] * vX_[952]) * 0.35 - (vX_[1115] * vX_[986] + vX_[518] * vX_[289] + vX_[1827] * vX_[254] + vX_[464] * vX_[267] + vX_[1048] * vX_[240] + (vX_[422] * vX_[241] + vX_[1048] * vX_[239]) * -8.81e-05 + vX_[570] * vX_[257] + vX_[1687] * vX_[246] + vX_[470] * vX_[300] + vX_[1762] * vX_[248] + vX_[655] * vX_[960])) * vX_[3392];
+ vX_[629] = vX_[3522] + vX_[3552] * vX_[266] + vX_[629] * vX_[279] + vX_[1062] * vX_[1003];
+ vX_[1568] = vX_[3522] + vX_[3520] * vX_[238] + vX_[1568] * vX_[283] + vX_[771] * vX_[1004];
+ vX_[3522] = vX_[629] - vX_[1568];
+ vX_[3532] = vX_[3552] * vX_[238] + vX_[3520] * vX_[266] + vX_[3474] * vX_[283] + vX_[3532] * vX_[279] + vX_[1062] * vX_[1004] + vX_[771] * vX_[1003];
+ vX_[3474] = vX_[3522] * vX_[239] + vX_[3532] * vX_[242];
+ vX_[3520] = vX_[3522] * vX_[241] + vX_[3532] * vX_[239];
+ vX_[629] = 0 - vX_[629];
+ vX_[3552] = 0 - vX_[3532];
+ vX_[3545] = vX_[1020] * vX_[266] + vX_[3523] * vX_[238] + vX_[3545] * vX_[279] + vX_[1062] * vX_[1000] + vX_[688] * vX_[1003];
+ vX_[1135] = 0 - vX_[3545];
+ vX_[3559] = vX_[1020] * vX_[238] + vX_[3523] * vX_[265] + vX_[3559] * vX_[279] + vX_[1062] * vX_[1001] + vX_[536] * vX_[1003];
+ vX_[1020] = 0 - vX_[3559];
+ vX_[3523] = (vX_[629] * vX_[273] + vX_[3552] * vX_[260] + vX_[1135] * vX_[269] + vX_[1020] * vX_[250]) * 1 / vX_[262];
+ vX_[629] = vX_[785] * vX_[981] + vX_[629] * vX_[274] + vX_[3523];
+ vX_[1568] = 0 - vX_[1568];
+ vX_[3539] = vX_[3554] * vX_[266] + vX_[3528] * vX_[238] + vX_[3539] * vX_[283] + vX_[771] * vX_[1000] + vX_[688] * vX_[1004];
+ vX_[1338] = 0 - vX_[3539];
+ vX_[434] = vX_[3554] * vX_[238] + vX_[3528] * vX_[265] + vX_[434] * vX_[283] + vX_[771] * vX_[1001] + vX_[536] * vX_[1004];
+ vX_[3554] = 0 - vX_[434];
+ vX_[3528] = (vX_[1568] * vX_[260] + vX_[1338] * vX_[269] + vX_[3554] * vX_[250]) * 1 / vX_[262];
+ vX_[1568] = vX_[1070] * vX_[981] + vX_[3552] * vX_[274] + vX_[1568] * vX_[263] + vX_[3528];
+ vX_[3519] = vX_[756] + vX_[3536] * vX_[279] + vX_[3519] * vX_[283] * 2. + vX_[1198] * vX_[1001] - vX_[1568];
+ vX_[3525] = 0 - (vX_[3516] + vX_[3525] * vX_[283] + vX_[1306] * vX_[279] * 2. + vX_[1198] * vX_[1000]) + vX_[629];
+ vX_[1306] = vX_[1306] + vX_[688] * vX_[1000];
+ vX_[1093] = vX_[1093] + vX_[536] * vX_[1001];
+ vX_[3516] = vX_[1306] - vX_[1093];
+ vX_[1198] = 0 - vX_[1306];
+ vX_[3536] = vX_[3536] + vX_[688] * vX_[1001] + vX_[536] * vX_[1000];
+ vX_[756] = 0 - vX_[3536];
+ vX_[3552] = (vX_[1198] * vX_[269] + vX_[756] * vX_[250]) * 1 / vX_[262];
+ vX_[1198] = vX_[1083] * vX_[981] + vX_[1135] * vX_[274] + vX_[1338] * vX_[263] + vX_[1198] * vX_[306] + vX_[3552];
+ vX_[1338] = 0 - vX_[1093];
+ vX_[1135] = vX_[1338] * vX_[250] * 1 / vX_[262];
+ vX_[1338] = vX_[598] * vX_[981] + vX_[1020] * vX_[274] + vX_[3554] * vX_[263] + vX_[756] * vX_[306] + vX_[1338] * vX_[302] + vX_[1135];
+ vX_[756] = 0 - vX_[1338];
+ vX_[3554] = vX_[3516] * vX_[239] + vX_[3536] * vX_[242];
+ vX_[1020] = vX_[3516] * vX_[241] + vX_[3536] * vX_[239];
+ vX_[574] = vX_[3554] * vX_[241] + vX_[1020] * vX_[239];
+ vX_[523] = vX_[1093] + vX_[3554] * vX_[239];
+ vX_[1688] = vX_[1093] + vX_[1020] * vX_[241];
+ vX_[1135] = vX_[1306] + vX_[1093] + 0 - vX_[785] * vX_[1005] - vX_[1070] * vX_[959] - vX_[772] * vX_[998] + vX_[772] * vX_[981] - vX_[1083] * vX_[994] - vX_[598] * vX_[991] - vX_[3523] * vX_[274] - vX_[3528] * vX_[263] - vX_[3552] * vX_[306] - vX_[1135] * vX_[302] - vX_[523] - vX_[1688];
+ vX_[3552] = 0 - vX_[1135];
+ vX_[1093] = vX_[629] * vX_[239] + vX_[1568] * vX_[242];
+ vX_[1306] = vX_[1093] + vX_[3552] * vX_[247];
+ vX_[3528] = vX_[629] * vX_[241] + vX_[1568] * vX_[239];
+ vX_[3523] = vX_[3528] + vX_[1135] * vX_[244];
+ vX_[598] = 0 - vX_[1338];
+ vX_[1083] = 0 - vX_[1688];
+ jac[430] = 0 - (vX_[1062] * vX_[990] + vX_[771] * vX_[988] + vX_[688] * vX_[986] + vX_[536] * vX_[985] + vX_[3522] * vX_[289] + vX_[3532] * vX_[288] + vX_[3474] * -0.466187537174287 + vX_[3520] * 0.00185880198235362 + vX_[629] * vX_[254] + vX_[1568] * vX_[258] + vX_[3539] * vX_[268] + vX_[3559] * vX_[240] + vX_[3545] * vX_[267] + vX_[434] * vX_[243] + (vX_[3539] * vX_[239] + vX_[3545] * vX_[241]) * -8.81e-05 + (vX_[3559] * vX_[239] + vX_[434] * vX_[242]) * 8.81e-05 + vX_[3519] * vX_[257] + vX_[3525] * vX_[253] + vX_[3516] * vX_[300] + vX_[1198] * vX_[246] + vX_[1338] * vX_[249] + vX_[3536] * vX_[299] + vX_[756] * vX_[248] + vX_[1198] * vX_[245] + vX_[3554] * vX_[296] + vX_[1020] * vX_[298] + (vX_[574] * vX_[256] + vX_[3552] * vX_[251] + vX_[523] * vX_[252] + (0 - vX_[1306]) * 0.414812462825713 + (0 - (vX_[3519] * vX_[241] + vX_[3525] * vX_[239]) + vX_[1093] + vX_[523] * vX_[247]) * 0.881 + (0 - vX_[3523]) * 0.00185880198235362 + (0 - (vX_[756] * vX_[239] + vX_[1198] * vX_[242] + (vX_[1198] * vX_[241] + vX_[1338] * vX_[239]) * 2.)) * 8.81e-05 + vX_[574] * 0.0004405 + vX_[523] * -0.2209548) * -0.35 + vX_[3497] * vX_[969] + vX_[3457] * vX_[958] + vX_[3428] * vX_[963] + vX_[1226] * vX_[960] + (vX_[949] * vX_[990] + vX_[3497] * vX_[952]) * 0.35) * vX_[3390] + (vX_[1062] * vX_[988] + vX_[688] * vX_[985] + vX_[3522] * vX_[288] + vX_[3474] * 0.00185880198235362 + vX_[3520] * -7.4114911576828e-06 + vX_[629] * vX_[258] + vX_[3559] * vX_[243] + vX_[3545] * vX_[268] + (vX_[3539] * vX_[242] + vX_[3545] * vX_[239]) * 8.81e-05 + vX_[3519] * vX_[253] + vX_[3516] * vX_[299] + vX_[1198] * vX_[249] + vX_[598] * vX_[245] + vX_[3554] * vX_[298] + vX_[1020] * vX_[297] + vX_[3457] * vX_[969] + vX_[1226] * vX_[963] - (vX_[771] * vX_[990] + vX_[3497] * vX_[958]) + (vX_[949] * vX_[988] + vX_[1135] * vX_[255] + vX_[1083] * vX_[256] + vX_[1306] * 0.00185880198235362 + vX_[3523] * 0.880992588508842 + (0 - (vX_[3519] * vX_[239] + vX_[3525] * vX_[242] + vX_[3528] + vX_[574] * vX_[247] + vX_[1083] * vX_[244])) * 0.881 + (0 - (vX_[598] * vX_[241] + vX_[1198] * vX_[239]) + (vX_[1198] * vX_[239] + vX_[1338] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[574]) * -0.1104774 + (0 - vX_[1688]) * 0.000881 + vX_[3457] * vX_[952]) * 0.35 - (vX_[536] * vX_[986] + vX_[3532] * vX_[289] + vX_[1568] * vX_[254] + vX_[3539] * vX_[267] + vX_[434] * vX_[240] + (vX_[3559] * vX_[241] + vX_[434] * vX_[239]) * -8.81e-05 + vX_[3525] * vX_[257] + vX_[1338] * vX_[246] + vX_[3536] * vX_[300] + vX_[1198] * vX_[248] + vX_[3428] * vX_[960])) * vX_[3392];
+ vX_[730] = vX_[3608] + vX_[3636] * vX_[266] + vX_[730] * vX_[279] + vX_[596] * vX_[1003];
+ vX_[1208] = vX_[3608] + vX_[3606] * vX_[238] + vX_[1208] * vX_[283] + vX_[573] * vX_[1004];
+ vX_[3608] = vX_[730] - vX_[1208];
+ vX_[974] = vX_[3636] * vX_[238] + vX_[3606] * vX_[266] + vX_[3562] * vX_[283] + vX_[974] * vX_[279] + vX_[596] * vX_[1004] + vX_[573] * vX_[1003];
+ vX_[3562] = vX_[3608] * vX_[239] + vX_[974] * vX_[242];
+ vX_[3606] = vX_[3608] * vX_[241] + vX_[974] * vX_[239];
+ vX_[730] = 0 - vX_[730];
+ vX_[3636] = 0 - vX_[974];
+ vX_[951] = vX_[520] * vX_[266] + vX_[3609] * vX_[238] + vX_[951] * vX_[279] + vX_[596] * vX_[1000] + vX_[3421] * vX_[1003];
+ vX_[1083] = 0 - vX_[951];
+ vX_[989] = vX_[520] * vX_[238] + vX_[3609] * vX_[265] + vX_[989] * vX_[279] + vX_[596] * vX_[1001] + vX_[3423] * vX_[1003];
+ vX_[520] = 0 - vX_[989];
+ vX_[273] = (vX_[730] * vX_[273] + vX_[3636] * vX_[260] + vX_[1083] * vX_[269] + vX_[520] * vX_[250]) * 1 / vX_[262];
+ vX_[730] = vX_[567] * vX_[981] + vX_[730] * vX_[274] + vX_[273];
+ vX_[1208] = 0 - vX_[1208];
+ vX_[1015] = vX_[3638] * vX_[266] + vX_[1012] * vX_[238] + vX_[1015] * vX_[283] + vX_[573] * vX_[1000] + vX_[3421] * vX_[1004];
+ vX_[3609] = 0 - vX_[1015];
+ vX_[983] = vX_[3638] * vX_[238] + vX_[1012] * vX_[265] + vX_[983] * vX_[283] + vX_[573] * vX_[1001] + vX_[3423] * vX_[1004];
+ vX_[3638] = 0 - vX_[983];
+ vX_[260] = (vX_[1208] * vX_[260] + vX_[3609] * vX_[269] + vX_[3638] * vX_[250]) * 1 / vX_[262];
+ vX_[1208] = vX_[524] * vX_[981] + vX_[3636] * vX_[274] + vX_[1208] * vX_[263] + vX_[260];
+ vX_[509] = vX_[514] + vX_[3622] * vX_[279] + vX_[509] * vX_[283] * 2. + vX_[630] * vX_[1001] - vX_[1208];
+ vX_[965] = 0 - (vX_[3602] + vX_[965] * vX_[283] + vX_[3278] * vX_[279] * 2. + vX_[630] * vX_[1000]) + vX_[730];
+ vX_[3278] = vX_[3278] + vX_[3421] * vX_[1000];
+ vX_[3469] = vX_[3469] + vX_[3423] * vX_[1001];
+ vX_[3602] = vX_[3278] - vX_[3469];
+ vX_[630] = 0 - vX_[3278];
+ vX_[3622] = vX_[3622] + vX_[3421] * vX_[1001] + vX_[3423] * vX_[1000];
+ vX_[1001] = 0 - vX_[3622];
+ vX_[269] = (vX_[630] * vX_[269] + vX_[1001] * vX_[250]) * 1 / vX_[262];
+ vX_[630] = vX_[737] * vX_[981] + vX_[1083] * vX_[274] + vX_[3609] * vX_[263] + vX_[630] * vX_[306] + vX_[269];
+ vX_[3609] = 0 - vX_[3469];
+ vX_[262] = vX_[3609] * vX_[250] * 1 / vX_[262];
+ vX_[3609] = vX_[606] * vX_[981] + vX_[520] * vX_[274] + vX_[3638] * vX_[263] + vX_[1001] * vX_[306] + vX_[3609] * vX_[302] + vX_[262];
+ vX_[1001] = 0 - vX_[3609];
+ vX_[3638] = vX_[3602] * vX_[239] + vX_[3622] * vX_[242];
+ vX_[520] = vX_[3602] * vX_[241] + vX_[3622] * vX_[239];
+ vX_[250] = vX_[3638] * vX_[241] + vX_[520] * vX_[239];
+ vX_[1083] = vX_[3469] + vX_[3638] * vX_[239];
+ vX_[1000] = vX_[3469] + vX_[520] * vX_[241];
+ vX_[262] = vX_[3278] + vX_[3469] + 0 - vX_[567] * vX_[1005] - vX_[524] * vX_[959] - vX_[414] * vX_[998] + vX_[414] * vX_[981] - vX_[737] * vX_[994] - vX_[606] * vX_[991] - vX_[273] * vX_[274] - vX_[260] * vX_[263] - vX_[269] * vX_[306] - vX_[262] * vX_[302] - vX_[1083] - vX_[1000];
+ vX_[269] = 0 - vX_[262];
+ vX_[3469] = vX_[730] * vX_[239] + vX_[1208] * vX_[242];
+ vX_[3278] = vX_[3469] + vX_[269] * vX_[247];
+ vX_[260] = vX_[730] * vX_[241] + vX_[1208] * vX_[239];
+ vX_[273] = vX_[260] + vX_[262] * vX_[244];
+ vX_[606] = 0 - vX_[3609];
+ vX_[737] = 0 - vX_[1000];
+ jac[431] = 0 - (vX_[596] * vX_[990] + vX_[573] * vX_[988] + vX_[3421] * vX_[986] + vX_[3423] * vX_[985] + vX_[3608] * vX_[289] + vX_[974] * vX_[288] + vX_[3562] * -0.466187537174287 + vX_[3606] * 0.00185880198235362 + vX_[730] * vX_[254] + vX_[1208] * vX_[258] + vX_[1015] * vX_[268] + vX_[989] * vX_[240] + vX_[951] * vX_[267] + vX_[983] * vX_[243] + (vX_[1015] * vX_[239] + vX_[951] * vX_[241]) * -8.81e-05 + (vX_[989] * vX_[239] + vX_[983] * vX_[242]) * 8.81e-05 + vX_[509] * vX_[257] + vX_[965] * vX_[253] + vX_[3602] * vX_[300] + vX_[630] * vX_[246] + vX_[3609] * vX_[249] + vX_[3622] * vX_[299] + vX_[1001] * vX_[248] + vX_[630] * vX_[245] + vX_[3638] * vX_[296] + vX_[520] * vX_[298] + (vX_[250] * vX_[256] + vX_[269] * vX_[251] + vX_[1083] * vX_[252] + (0 - vX_[3278]) * 0.414812462825713 + (0 - (vX_[509] * vX_[241] + vX_[965] * vX_[239]) + vX_[3469] + vX_[1083] * vX_[247]) * 0.881 + (0 - vX_[273]) * 0.00185880198235362 + (0 - (vX_[1001] * vX_[239] + vX_[630] * vX_[242] + (vX_[630] * vX_[241] + vX_[3609] * vX_[239]) * 2.)) * 8.81e-05 + vX_[250] * 0.0004405 + vX_[1083] * -0.2209548) * -0.35 + vX_[3567] * vX_[969] + vX_[3468] * vX_[958] + vX_[3571] * vX_[963] + vX_[3456] * vX_[960] + (vX_[709] * vX_[990] + vX_[3567] * vX_[952]) * 0.35) * vX_[3390] + (vX_[596] * vX_[988] + vX_[3421] * vX_[985] + vX_[3608] * vX_[288] + vX_[3562] * 0.00185880198235362 + vX_[3606] * -7.4114911576828e-06 + vX_[730] * vX_[258] + vX_[989] * vX_[243] + vX_[951] * vX_[268] + (vX_[1015] * vX_[242] + vX_[951] * vX_[239]) * 8.81e-05 + vX_[509] * vX_[253] + vX_[3602] * vX_[299] + vX_[630] * vX_[249] + vX_[606] * vX_[245] + vX_[3638] * vX_[298] + vX_[520] * vX_[297] + vX_[3468] * vX_[969] + vX_[3456] * vX_[963] - (vX_[573] * vX_[990] + vX_[3567] * vX_[958]) + (vX_[709] * vX_[988] + vX_[262] * vX_[255] + vX_[737] * vX_[256] + vX_[3278] * 0.00185880198235362 + vX_[273] * 0.880992588508842 + (0 - (vX_[509] * vX_[239] + vX_[965] * vX_[242] + vX_[260] + vX_[250] * vX_[247] + vX_[737] * vX_[244])) * 0.881 + (0 - (vX_[606] * vX_[241] + vX_[630] * vX_[239]) + (vX_[630] * vX_[239] + vX_[3609] * vX_[242]) * 2.) * -8.81e-05 + (0 - vX_[250]) * -0.1104774 + (0 - vX_[1000]) * 0.000881 + vX_[3468] * vX_[952]) * 0.35 - (vX_[3423] * vX_[986] + vX_[974] * vX_[289] + vX_[1208] * vX_[254] + vX_[1015] * vX_[267] + vX_[983] * vX_[240] + (vX_[989] * vX_[241] + vX_[983] * vX_[239]) * -8.81e-05 + vX_[965] * vX_[257] + vX_[3609] * vX_[246] + vX_[3622] * vX_[300] + vX_[630] * vX_[248] + vX_[3571] * vX_[960])) * vX_[3392];
+ vX_[737] = vX_[646] * -1 + vX_[631] * 0.207;
+ vX_[606] = vX_[676] * vX_[125] + vX_[685] * vX_[893] + vX_[631] * vX_[891] + vX_[755] * vX_[892] + vX_[761] * vX_[126];
+ vX_[273] = vX_[631] * vX_[197] + vX_[755] * vX_[211];
+ vX_[260] = vX_[737] * vX_[148] + vX_[606] * vX_[903] + vX_[273] * vX_[886];
+ vX_[3278] = vX_[737] * vX_[128] + vX_[606] * vX_[148] + vX_[273] * vX_[163];
+ vX_[3469] = vX_[273] * -1;
+ vX_[269] = vX_[260] * 1 / vX_[145];
+ vX_[262] = vX_[3278] * 1 / vX_[145];
+ vX_[1000] = vX_[3469] * 1 / vX_[145];
+ vX_[1083] = vX_[761] * -1;
+ vX_[250] = vX_[737] * 1 / vX_[194];
+ vX_[520] = vX_[676] * vX_[197] + vX_[685] * vX_[879] + vX_[631] * vX_[212] + vX_[755] * vX_[210] + vX_[761] * vX_[880];
+ vX_[3638] = vX_[520] * 1 / vX_[194];
+ vX_[1001] = vX_[606] * 1 / vX_[194];
+ vX_[3609] = vX_[1083] * 1 / vX_[194];
+ vX_[630] = vX_[273] * 1 / vX_[194];
+ vX_[3622] = vX_[631] * vX_[211] + vX_[755] * vX_[209];
+ vX_[3602] = vX_[3622] * 1 / vX_[194];
+ vX_[1083] = vX_[1083] - (vX_[250] * vX_[206] + vX_[3638] * vX_[168] + vX_[1001] * vX_[158] + vX_[3609] * vX_[194] + vX_[630] * vX_[220] + vX_[3602] * vX_[229]);
+ vX_[965] = vX_[1083] * vX_[148] + vX_[3622] * vX_[157];
+ vX_[509] = vX_[965] * 1 / vX_[145];
+ vX_[1208] = vX_[1083] * vX_[128] + vX_[3622] * vX_[148];
+ vX_[983] = vX_[1208] * 1 / vX_[145];
+ vX_[3469] = vX_[3469] - (vX_[269] * vX_[152] + vX_[262] * vX_[143] + vX_[1000] * vX_[145] + vX_[509] * 2.1e-05 + vX_[983] * -0.000102);
+ vX_[1015] = vX_[260] * vX_[129] + vX_[3278] * vX_[131] + vX_[3469] * vX_[130];
+ vX_[730] = vX_[260] * vX_[131] + vX_[3278] * vX_[911] + vX_[3469] * vX_[912];
+ vX_[989] = vX_[3469] - (vX_[730] * 38.1956380581338 * 0.110125 + vX_[1015] * 38.1956380581338 * 0.000881 + vX_[3469] * 38.1956380581338 * 0.026181);
+ vX_[951] = vX_[1015] * 0.881 + (0 - vX_[989]) * -0.000881;
+ vX_[3606] = vX_[730] * -0.881;
+ vX_[3562] = vX_[989] * 0.110125;
+ vX_[974] = vX_[3606] - vX_[3562];
+ vX_[3608] = vX_[951] * vX_[907] + vX_[974] * vX_[899];
+ vX_[3392] = vX_[3278] * 3.146 + (0 - vX_[3469]) * 0.0825825;
+ vX_[3390] = vX_[260] * -3.146;
+ vX_[3456] = vX_[3469] * 0.47422804;
+ vX_[3571] = vX_[3390] - vX_[3456];
+ vX_[3468] = vX_[3608] + vX_[3392] * vX_[897] + vX_[3571] * vX_[887];
+ vX_[3567] = vX_[606] * 3.44 + vX_[273] * -0.5824264;
+ vX_[709] = 0 - vX_[3567];
+ vX_[3423] = vX_[737] * 3.44 + (0 - vX_[273]) * 0.1466472;
+ vX_[3421] = vX_[737] * vX_[214] + vX_[520] * vX_[196] + vX_[606] * vX_[205] + vX_[273] * vX_[490] + vX_[3622] * vX_[542];
+ vX_[573] = vX_[3468] * -1 + vX_[709] * vX_[813] + vX_[3423] * vX_[884] + vX_[3421] * x_in[30];
+ vX_[596] = vX_[1019] - vX_[1036];
+ vX_[985] = vX_[625] + vX_[727];
+ vX_[986] = vX_[596] * vX_[211] + vX_[985] * vX_[209];
+ vX_[988] = vX_[1037] - vX_[1036];
+ vX_[990] = vX_[988] * vX_[211];
+ vX_[969] = vX_[596] * vX_[197] + vX_[985] * vX_[211];
+ vX_[963] = vX_[988] * vX_[209];
+ vX_[960] = vX_[969] + vX_[963];
+ vX_[958] = vX_[986] * vX_[197] + vX_[990] * vX_[209] + vX_[960] * vX_[211];
+ vX_[952] = 0 - vX_[958];
+ vX_[300] = vX_[1036] + vX_[969] * vX_[197] + vX_[990] * vX_[211];
+ vX_[299] = 0 - vX_[300];
+ vX_[298] = vX_[1036] + vX_[986] * vX_[211] + vX_[963] * vX_[209];
+ vX_[297] = vX_[1039] + vX_[1045];
+ vX_[296] = vX_[538] + vX_[708] - vX_[297];
+ vX_[289] = vX_[1029] + vX_[1044];
+ vX_[288] = 0 - (vX_[506] + vX_[735]) + vX_[289];
+ vX_[268] = (vX_[289] * vX_[197] + vX_[297] * vX_[211]) * -1;
+ vX_[267] = 0 - (vX_[296] * vX_[211] + vX_[288] * vX_[209]) + vX_[268];
+ vX_[253] = vX_[267] + vX_[300] * vX_[198];
+ vX_[258] = 0 - vX_[253];
+ vX_[257] = (vX_[289] * vX_[211] + vX_[297] * vX_[209]) * -1;
+ vX_[256] = vX_[296] * vX_[197] + vX_[288] * vX_[211] + vX_[257];
+ vX_[255] = 0 - vX_[298];
+ vX_[254] = vX_[256] + vX_[958] * vX_[198] + vX_[255] * vX_[127];
+ vX_[252] = vX_[632] + vX_[805];
+ vX_[251] = vX_[693] + vX_[806];
+ vX_[245] = vX_[252] * vX_[209] + vX_[251] * vX_[211];
+ vX_[249] = vX_[687] + vX_[749];
+ vX_[248] = vX_[600] + vX_[807];
+ vX_[247] = vX_[249] * vX_[211] + vX_[248] * vX_[209];
+ vX_[246] = vX_[245] * vX_[197] + vX_[247] * vX_[211];
+ vX_[244] = vX_[754] + vX_[1027];
+ vX_[243] = vX_[1051] + vX_[1047];
+ vX_[242] = 0 - vX_[243];
+ vX_[241] = vX_[244] * vX_[211] + vX_[242] * vX_[209];
+ vX_[240] = 0 - vX_[241];
+ vX_[239] = vX_[246] + vX_[240] * vX_[127] + vX_[299] * vX_[213];
+ vX_[414] = 0 - vX_[239];
+ vX_[524] = vX_[252] * vX_[211] + vX_[251] * vX_[197];
+ vX_[567] = vX_[249] * vX_[197] + vX_[248] * vX_[211];
+ vX_[991] = vX_[524] * vX_[211] + vX_[567] * vX_[209];
+ vX_[243] = 0 - vX_[243];
+ vX_[994] = vX_[244] * vX_[197] + vX_[243] * vX_[211];
+ vX_[959] = 0 - vX_[994];
+ vX_[1005] = vX_[991] + vX_[959] * vX_[198] + vX_[298] * vX_[213];
+ vX_[998] = vX_[524] * vX_[197] + vX_[567] * vX_[211];
+ vX_[981] = vX_[998] + vX_[241] * vX_[198];
+ vX_[306] = vX_[245] * vX_[211] + vX_[247] * vX_[209];
+ vX_[302] = vX_[306] + vX_[994] * vX_[127] + vX_[952] * vX_[213];
+ vX_[274] = 0 - vX_[981] + vX_[302];
+ vX_[263] = 0 - vX_[958];
+ vX_[283] = 0 - vX_[300];
+ vX_[299] = vX_[952] * vX_[545] + vX_[299] * vX_[492] + vX_[298] * vX_[176] + vX_[258] * vX_[214] + vX_[254] * vX_[225] + vX_[414] * vX_[205] + vX_[1005] * vX_[199] + vX_[274] * vX_[196] + vX_[958] * vX_[539] + vX_[263] * vX_[542] + vX_[283] * vX_[491] + vX_[298] * vX_[495];
+ vX_[952] = 0 - vX_[951];
+ vX_[279] = vX_[520] * -1 + vX_[1083] * -0.08;
+ vX_[514] = vX_[279] + vX_[965] * -0.35;
+ vX_[3636] = vX_[965] * vX_[131] + vX_[1208] * vX_[137];
+ vX_[1012] = vX_[965] * vX_[129] + vX_[1208] * vX_[131];
+ vX_[1004] = vX_[514] * 0.881 + (0 - vX_[3636]) * 0.110125 + vX_[1012] * -0.000881;
+ vX_[265] = vX_[730] * -0.00370574557885489 + vX_[1015] * 0.880970354035369;
+ vX_[1003] = vX_[952] * vX_[902] + vX_[1004] * vX_[899] + vX_[265] * x_in[32];
+ vX_[3562] = 0 - vX_[3606] + vX_[3562];
+ vX_[3606] = 0 - vX_[1004];
+ vX_[598] = vX_[730] * 0.417781802643138 + vX_[1015] * -0.00370574557885489;
+ vX_[3523] = vX_[3562] * vX_[902] + vX_[3606] * vX_[907] - vX_[598] * x_in[32];
+ vX_[3528] = 0 - vX_[3392];
+ vX_[1306] = vX_[279] * 3.146 + (0 - vX_[965]) * 0.47422804 + vX_[1208] * 0.0825825;
+ vX_[1093] = vX_[260] * vX_[173] + vX_[3278] * vX_[172] + vX_[965] * vX_[149] + vX_[1208] * vX_[147];
+ vX_[3552] = vX_[1003] * vX_[131] + vX_[3523] * vX_[129] + vX_[3528] * vX_[890] + vX_[1306] * vX_[887] + vX_[1093] * x_in[31];
+ vX_[3456] = 0 - vX_[3390] + vX_[3456];
+ vX_[3390] = 0 - vX_[1306];
+ vX_[1135] = vX_[260] * vX_[171] + vX_[3278] * vX_[173] + vX_[965] * vX_[155] + vX_[1208] * vX_[154];
+ vX_[1688] = vX_[1003] * vX_[911] + vX_[3523] * vX_[131] + vX_[3456] * vX_[890] + vX_[3390] * vX_[897] - vX_[1135] * x_in[31];
+ vX_[523] = vX_[520] * -3.44;
+ vX_[574] = vX_[1083] * 0.1466472;
+ vX_[1020] = vX_[3622] * -0.5824264;
+ vX_[3554] = 0 - vX_[523] + vX_[574] - vX_[1020];
+ vX_[756] = 0 - vX_[3423];
+ vX_[1338] = vX_[737] * vX_[225] + vX_[520] * vX_[199] + vX_[606] * vX_[196] + vX_[273] * vX_[539] + vX_[3622] * vX_[489];
+ vX_[1198] = vX_[3552] * vX_[903] + vX_[1688] * vX_[148] + vX_[3554] * vX_[813] + vX_[756] * vX_[882] - vX_[1338] * x_in[30];
+ vX_[3536] = vX_[1019] + vX_[1037] + vX_[1036] - vX_[300] - vX_[298];
+ vX_[3516] = 0 - vX_[3536];
+ vX_[268] = vX_[268] + vX_[3516] * vX_[198];
+ vX_[257] = vX_[257] + vX_[3536] * vX_[127];
+ vX_[3525] = 0 - vX_[254];
+ vX_[3519] = 0 - vX_[1005];
+ vX_[1568] = vX_[1049] + vX_[1046] + vX_[251] + vX_[248] - vX_[998] - vX_[306];
+ vX_[302] = vX_[1568] - vX_[302];
+ vX_[434] = 0 - vX_[241];
+ vX_[3539] = 0 - vX_[958];
+ vX_[629] = 0 - vX_[298];
+ vX_[3559] = vX_[698] - vX_[713];
+ vX_[3545] = vX_[964] - vX_[713];
+ vX_[3520] = vX_[701] + vX_[641];
+ vX_[3474] = vX_[647] + vX_[712];
+ vX_[3532] = vX_[695] + vX_[830];
+ vX_[3522] = 0 - vX_[3532];
+ vX_[1226] = vX_[3559] * vX_[211] + vX_[3520] * vX_[209];
+ vX_[3428] = vX_[3545] * vX_[211];
+ vX_[3457] = vX_[3559] * vX_[197] + vX_[3520] * vX_[211];
+ vX_[3497] = vX_[3545] * vX_[209];
+ vX_[949] = vX_[3457] + vX_[3497];
+ vX_[536] = vX_[514] * -0.000881 + vX_[1012] * -0.000227999999999999;
+ vX_[688] = vX_[514] * 0.110125 + (0 - vX_[3636]) * 0.025713;
+ vX_[771] = (0 - vX_[730]) * -0.000881;
+ vX_[1062] = (0 - vX_[1015]) * 0.110125;
+ vX_[772] = vX_[771] + vX_[1062];
+ vX_[772] = vX_[952] * vX_[913] + vX_[3562] * vX_[905] + vX_[536] * vX_[907] + vX_[688] * vX_[899] + vX_[772] * vX_[902] + vX_[772] * vX_[902];
+ vX_[3562] = vX_[279] * 0.0825825 + (0 - vX_[3469]) * -0.000102 + vX_[965] * -0.007418 + vX_[1208] * 0.002735;
+ vX_[952] = vX_[279] * 0.47422804 + vX_[3469] * 2.1e-05 + (0 - vX_[965]) * 0.084376 + (0 - vX_[1208]) * -0.007418;
+ vX_[1070] = (0 - vX_[260]) * 0.0825825;
+ vX_[785] = (0 - vX_[3278]) * 0.47422804;
+ vX_[1188] = vX_[965] * -0.000102;
+ vX_[612] = (0 - vX_[1208]) * 2.1e-05;
+ vX_[1596] = vX_[1070] + vX_[785] + vX_[1188] + vX_[612];
+ vX_[1596] = vX_[772] + vX_[1003] * vX_[912] + vX_[3523] * vX_[130] + vX_[3528] * vX_[904] + vX_[3456] * vX_[895] + vX_[3562] * vX_[897] + vX_[952] * vX_[887] + vX_[1596] * vX_[890] + vX_[1596] * vX_[890];
+ vX_[3456] = vX_[520] * -0.5824264 + (0 - vX_[1083]) * 0.022734 + vX_[273] * 3.6e-05 + vX_[3622] * -0.133138;
+ vX_[3528] = vX_[520] * 0.1466472 + vX_[1083] * 0.009466 + (0 - vX_[273]) * -5.1e-05 + vX_[3622] * 0.022734;
+ vX_[2174] = (0 - vX_[737]) * -0.5824264;
+ vX_[1103] = (0 - vX_[606]) * 0.1466472;
+ vX_[1041] = (0 - vX_[1083]) * 3.6e-05;
+ vX_[1448] = (0 - vX_[3622]) * -5.1e-05;
+ vX_[3481] = vX_[2174] + vX_[1103] + vX_[1041] - vX_[1448];
+ vX_[1444] = vX_[737] * vX_[230] + vX_[520] * vX_[489] + vX_[606] * vX_[542] + vX_[273] * vX_[541] + vX_[3622] * vX_[193];
+ vX_[3481] = vX_[3552] * vX_[886] + vX_[1688] * vX_[163] + vX_[1596] * -1 + vX_[3567] * vX_[815] + vX_[756] * vX_[894] + vX_[3456] * vX_[813] + vX_[3528] * vX_[884] + vX_[3481] * vX_[882] + vX_[3481] * vX_[882] + vX_[1444] * x_in[30];
+ vX_[989] = vX_[730] * 0.110125 + vX_[1015] * -0.000881 + vX_[989] * 0.025941;
+ vX_[1012] = vX_[514] * -0.000881 + vX_[1012] * 0.000468;
+ vX_[1062] = vX_[951] * vX_[900] + vX_[3606] * vX_[905] + vX_[536] * vX_[902] + vX_[989] * vX_[899] + vX_[1062] * vX_[907] + vX_[1062] * vX_[907] + vX_[1012] * x_in[32];
+ vX_[3636] = vX_[514] * -0.110125 + vX_[3636] * 0.026409;
+ jac[1170] = vX_[598] * vX_[909] + vX_[265] * vX_[913] + vX_[3636] * vX_[938] + vX_[1012] * vX_[907] + vX_[772];
+ vX_[3636] = vX_[974] * vX_[900] + vX_[1004] * vX_[913] + vX_[688] * vX_[902] + vX_[989] * vX_[907] + vX_[771] * vX_[899] + vX_[771] * vX_[899] - vX_[3636] * x_in[32];
+ vX_[989] = vX_[260] * 0.47422804 + vX_[3278] * 0.0825825 + vX_[3469] * 0.081641 + (0 - vX_[965]) * 2.1e-05 + vX_[1208] * -0.000102;
+ vX_[771] = (0 - vX_[3469]) * -0.007418;
+ vX_[612] = vX_[785] + vX_[771] - vX_[612];
+ vX_[785] = vX_[279] * vX_[142] + vX_[260] * vX_[154] + vX_[3278] * vX_[147] + vX_[965] * vX_[188] + vX_[1208] * vX_[184];
+ vX_[612] = vX_[3608] * -0.35 + vX_[1062] * vX_[131] + vX_[3636] * vX_[129] + vX_[3392] * vX_[888] + vX_[3390] * vX_[895] + vX_[3562] * vX_[890] + vX_[989] * vX_[887] + vX_[612] * vX_[897] + vX_[612] * vX_[897] + vX_[785] * x_in[31];
+ vX_[771] = vX_[1070] - vX_[771] - vX_[1188];
+ vX_[1188] = vX_[279] * vX_[151] + vX_[260] * vX_[155] + vX_[3278] * vX_[149] + vX_[965] * vX_[182] + vX_[1208] * vX_[188];
+ jac[1134] = vX_[1135] * vX_[908] + vX_[1093] * vX_[904] + vX_[1188] * vX_[915] + vX_[785] * vX_[897] + vX_[1596];
+ vX_[1188] = vX_[1062] * vX_[137] + vX_[3636] * vX_[131] + vX_[3571] * vX_[888] + vX_[1306] * vX_[904] + vX_[952] * vX_[890] + vX_[989] * vX_[897] + vX_[771] * vX_[887] + vX_[771] * vX_[887] - vX_[1188] * x_in[31];
+ vX_[1020] = vX_[523] - vX_[574] + vX_[1020];
+ vX_[574] = vX_[737] * 0.1466472 + vX_[606] * -0.5824264 + vX_[1083] * -5.1e-05 + (0 - vX_[273]) * -0.123672 + (0 - vX_[3622]) * 3.6e-05;
+ vX_[523] = vX_[273] * 0.022734;
+ vX_[1041] = vX_[2174] - vX_[1041] - vX_[523];
+ vX_[2174] = vX_[737] * vX_[167] + vX_[520] * vX_[539] + vX_[606] * vX_[490] + vX_[273] * vX_[488] + vX_[3622] * vX_[541];
+ vX_[1041] = vX_[612] * vX_[157] + vX_[1188] * vX_[148] + vX_[1020] * vX_[815] + vX_[3423] * vX_[814] + vX_[574] * vX_[813] + vX_[3528] * vX_[882] + vX_[1041] * vX_[884] + vX_[1041] * vX_[884] - vX_[2174] * x_in[30];
+ vX_[3528] = sin(x_in[12]);
+ vX_[3423] = 0 - vX_[268];
+ vX_[771] = 0 - vX_[257];
+ vX_[1568] = 0 - vX_[1568] + vX_[981];
+ vX_[981] = 0 - vX_[994];
+ vX_[3532] = 0 - vX_[3532];
+ vX_[989] = cos(x_in[12]);
+ jac[450] = 0 - (0 - (vX_[685] * vX_[941] + vX_[573] * x_in[22]) + (vX_[631] * vX_[941] + vX_[299] * vX_[211] + vX_[573] * x_in[20]) * 0.3735 - (vX_[676] * vX_[944] + vX_[1198] * x_in[23]) + (vX_[755] * vX_[944] + vX_[1198] * x_in[19]) * -0.3735 + (vX_[761] * vX_[944] + (vX_[240] * vX_[492] + vX_[994] * vX_[545] + vX_[3536] * vX_[224] + vX_[255] * vX_[226] + vX_[268] * vX_[196] + vX_[257] * vX_[205] + vX_[3525] * vX_[208] + vX_[3519] * vX_[225] + vX_[302] * vX_[214] + vX_[434] * vX_[490] + vX_[994] * vX_[542] + vX_[3539] * vX_[167] + vX_[629] * vX_[497]) * -1 + vX_[1198] * x_in[18]) * -0.207 - (vX_[631] * vX_[946] + vX_[755] * vX_[917] + vX_[3559] * vX_[669] + vX_[3545] * vX_[667] + vX_[3520] * vX_[665] + vX_[3474] * vX_[648] + vX_[3522] * vX_[214] + vX_[1226] * vX_[351] + vX_[3428] * vX_[480] + vX_[949] * vX_[196] + vX_[252] * vX_[637] + vX_[249] * vX_[605] + vX_[289] * vX_[232] + vX_[297] * vX_[222] + vX_[251] * vX_[636] + vX_[248] * vX_[602] + vX_[524] * vX_[601] + vX_[245] * vX_[603] + vX_[567] * vX_[544] + vX_[247] * vX_[604] + vX_[296] * vX_[221] + vX_[288] * vX_[231] + vX_[596] * vX_[551] + vX_[988] * vX_[549] + vX_[985] * vX_[547] + vX_[244] * vX_[588] + vX_[243] * vX_[589] + vX_[986] * vX_[498] + vX_[990] * vX_[494] + vX_[960] * vX_[546] + vX_[299] * vX_[212] + vX_[3481] * x_in[19] + vX_[1041] * x_in[20])) * vX_[3528] + (vX_[676] * vX_[941] + vX_[631] * vX_[917] + vX_[3559] * vX_[665] + vX_[3474] * vX_[214] + vX_[3457] * vX_[480] + vX_[1226] * vX_[196] + vX_[249] * vX_[602] + vX_[289] * vX_[222] + vX_[251] * vX_[637] + vX_[524] * vX_[544] + vX_[245] * vX_[604] + vX_[296] * vX_[231] + vX_[596] * vX_[547] + vX_[244] * vX_[589] + vX_[969] * vX_[494] + vX_[986] * vX_[546] + (vX_[241] * vX_[543] + vX_[959] * vX_[176] + vX_[958] * vX_[226] + vX_[3516] * vX_[200] + vX_[300] * vX_[215] + vX_[3423] * vX_[199] + vX_[253] * vX_[208] + vX_[771] * vX_[196] + vX_[239] * vX_[214] + vX_[1568] * vX_[225] + vX_[241] * vX_[539] + vX_[981] * vX_[489] + vX_[958] * vX_[230] + vX_[300] * vX_[486]) * 0.207 + vX_[573] * x_in[23] + vX_[3481] * x_in[20] + (vX_[755] * vX_[941] + vX_[299] * vX_[209] + vX_[573] * x_in[19]) * 0.3735 + (vX_[761] * vX_[941] + vX_[573] * x_in[18]) * 0.207 - (vX_[685] * vX_[944] + vX_[1198] * x_in[22]) + (vX_[631] * vX_[944] + vX_[1198] * x_in[20]) * 0.3735 - (vX_[755] * vX_[946] + vX_[3545] * vX_[666] + vX_[3520] * vX_[669] + vX_[3532] * vX_[648] + vX_[3428] * vX_[196] + vX_[3497] * vX_[351] + vX_[252] * vX_[636] + vX_[297] * vX_[232] + vX_[248] * vX_[605] + vX_[567] * vX_[601] + vX_[247] * vX_[603] + vX_[288] * vX_[221] + vX_[988] * vX_[548] + vX_[985] * vX_[551] + vX_[242] * vX_[588] + vX_[990] * vX_[546] + vX_[963] * vX_[498] + vX_[299] * vX_[210] + vX_[1041] * x_in[19])) * vX_[989];
+ vX_[3520] = vX_[758] * -1 + vX_[1063] * 0.207;
+ vX_[3545] = vX_[1028] * vX_[125] + vX_[1096] * vX_[893] + vX_[1063] * vX_[891] + vX_[670] * vX_[892] + vX_[752] * vX_[126];
+ vX_[3559] = vX_[1063] * vX_[197] + vX_[670] * vX_[211];
+ vX_[3516] = vX_[3520] * vX_[148] + vX_[3545] * vX_[903] + vX_[3559] * vX_[886];
+ vX_[3536] = vX_[3520] * vX_[128] + vX_[3545] * vX_[148] + vX_[3559] * vX_[163];
+ vX_[299] = vX_[3559] * -1;
+ vX_[959] = vX_[3516] * 1 / vX_[145];
+ vX_[243] = vX_[3536] * 1 / vX_[145];
+ vX_[567] = vX_[299] * 1 / vX_[145];
+ vX_[524] = vX_[752] * -1;
+ vX_[240] = vX_[3520] * 1 / vX_[194];
+ vX_[242] = vX_[1028] * vX_[197] + vX_[1096] * vX_[879] + vX_[1063] * vX_[212] + vX_[670] * vX_[210] + vX_[752] * vX_[880];
+ vX_[244] = vX_[242] * 1 / vX_[194];
+ vX_[247] = vX_[3545] * 1 / vX_[194];
+ vX_[248] = vX_[524] * 1 / vX_[194];
+ vX_[249] = vX_[3559] * 1 / vX_[194];
+ vX_[245] = vX_[1063] * vX_[211] + vX_[670] * vX_[209];
+ vX_[251] = vX_[245] * 1 / vX_[194];
+ vX_[524] = vX_[524] - (vX_[240] * vX_[206] + vX_[244] * vX_[168] + vX_[247] * vX_[158] + vX_[248] * vX_[194] + vX_[249] * vX_[220] + vX_[251] * vX_[229]);
+ vX_[252] = vX_[524] * vX_[148] + vX_[245] * vX_[157];
+ vX_[255] = vX_[252] * 1 / vX_[145];
+ vX_[288] = vX_[524] * vX_[128] + vX_[245] * vX_[148];
+ vX_[289] = vX_[288] * 1 / vX_[145];
+ vX_[299] = vX_[299] - (vX_[959] * vX_[152] + vX_[243] * vX_[143] + vX_[567] * vX_[145] + vX_[255] * 2.1e-05 + vX_[289] * -0.000102);
+ vX_[296] = vX_[3516] * vX_[129] + vX_[3536] * vX_[131] + vX_[299] * vX_[130];
+ vX_[297] = vX_[3516] * vX_[131] + vX_[3536] * vX_[911] + vX_[299] * vX_[912];
+ vX_[960] = vX_[299] - (vX_[297] * 38.1956380581338 * 0.110125 + vX_[296] * 38.1956380581338 * 0.000881 + vX_[299] * 38.1956380581338 * 0.026181);
+ vX_[963] = vX_[296] * 0.881 + (0 - vX_[960]) * -0.000881;
+ vX_[969] = vX_[297] * -0.881;
+ vX_[990] = vX_[960] * 0.110125;
+ vX_[988] = vX_[969] - vX_[990];
+ vX_[986] = vX_[963] * vX_[907] + vX_[988] * vX_[899];
+ vX_[985] = vX_[3536] * 3.146 + (0 - vX_[299]) * 0.0825825;
+ vX_[596] = vX_[3516] * -3.146;
+ vX_[952] = vX_[299] * 0.47422804;
+ vX_[1306] = vX_[596] - vX_[952];
+ vX_[3571] = vX_[986] + vX_[985] * vX_[897] + vX_[1306] * vX_[887];
+ vX_[785] = vX_[3545] * 3.44 + vX_[3559] * -0.5824264;
+ vX_[1596] = 0 - vX_[785];
+ vX_[1135] = vX_[3520] * 3.44 + (0 - vX_[3559]) * 0.1466472;
+ vX_[1093] = vX_[3520] * vX_[214] + vX_[242] * vX_[196] + vX_[3545] * vX_[205] + vX_[3559] * vX_[490] + vX_[245] * vX_[542];
+ vX_[1070] = vX_[3571] * -1 + vX_[1596] * vX_[813] + vX_[1135] * vX_[884] + vX_[1093] * x_in[30];
+ vX_[3562] = vX_[1150] - vX_[1168];
+ vX_[3390] = vX_[711] + vX_[1139];
+ vX_[3392] = vX_[3562] * vX_[211] + vX_[3390] * vX_[209];
+ vX_[3608] = vX_[1169] - vX_[1168];
+ vX_[688] = vX_[3608] * vX_[211];
+ vX_[1004] = vX_[3562] * vX_[197] + vX_[3390] * vX_[211];
+ vX_[974] = vX_[3608] * vX_[209];
+ vX_[1012] = vX_[1004] + vX_[974];
+ vX_[772] = vX_[3392] * vX_[197] + vX_[688] * vX_[209] + vX_[1012] * vX_[211];
+ vX_[598] = 0 - vX_[772];
+ vX_[265] = vX_[1168] + vX_[1004] * vX_[197] + vX_[688] * vX_[211];
+ vX_[514] = 0 - vX_[265];
+ vX_[536] = vX_[1168] + vX_[3392] * vX_[211] + vX_[974] * vX_[209];
+ vX_[3606] = vX_[1172] + vX_[1178];
+ vX_[951] = vX_[1181] + vX_[1065] - vX_[3606];
+ vX_[730] = vX_[1161] + vX_[1177];
+ vX_[1015] = 0 - (vX_[1100] + vX_[1023]) + vX_[730];
+ vX_[756] = (vX_[730] * vX_[197] + vX_[3606] * vX_[211]) * -1;
+ vX_[1687] = 0 - (vX_[951] * vX_[211] + vX_[1015] * vX_[209]) + vX_[756];
+ vX_[1762] = vX_[1687] + vX_[265] * vX_[198];
+ vX_[470] = 0 - vX_[1762];
+ vX_[597] = (vX_[730] * vX_[211] + vX_[3606] * vX_[209]) * -1;
+ vX_[570] = vX_[951] * vX_[197] + vX_[1015] * vX_[211] + vX_[597];
+ vX_[575] = 0 - vX_[536];
+ vX_[1827] = vX_[570] + vX_[772] * vX_[198] + vX_[575] * vX_[127];
+ vX_[1048] = vX_[1101] + vX_[1143];
+ vX_[464] = vX_[1056] + vX_[1142];
+ vX_[1217] = vX_[1048] * vX_[209] + vX_[464] * vX_[211];
+ vX_[422] = vX_[1159] + vX_[1064];
+ vX_[453] = vX_[1170] + vX_[1141];
+ vX_[579] = vX_[422] * vX_[211] + vX_[453] * vX_[209];
+ vX_[684] = vX_[1217] * vX_[197] + vX_[579] * vX_[211];
+ vX_[518] = vX_[1040] + vX_[1158];
+ vX_[576] = vX_[1185] + vX_[1180];
+ vX_[1642] = 0 - vX_[576];
+ vX_[655] = vX_[518] * vX_[211] + vX_[1642] * vX_[209];
+ vX_[1166] = 0 - vX_[655];
+ vX_[3451] = vX_[684] + vX_[1166] * vX_[127] + vX_[514] * vX_[213];
+ vX_[1203] = 0 - vX_[3451];
+ vX_[1115] = vX_[1048] * vX_[211] + vX_[464] * vX_[197];
+ vX_[1236] = vX_[422] * vX_[197] + vX_[453] * vX_[211];
+ vX_[1450] = vX_[1115] * vX_[211] + vX_[1236] * vX_[209];
+ vX_[576] = 0 - vX_[576];
+ vX_[1631] = vX_[518] * vX_[197] + vX_[576] * vX_[211];
+ vX_[1464] = 0 - vX_[1631];
+ vX_[1498] = vX_[1450] + vX_[1464] * vX_[198] + vX_[536] * vX_[213];
+ vX_[1465] = vX_[1115] * vX_[197] + vX_[1236] * vX_[211];
+ vX_[1522] = vX_[1465] + vX_[655] * vX_[198];
+ vX_[686] = vX_[1217] * vX_[211] + vX_[579] * vX_[209];
+ vX_[2061] = vX_[686] + vX_[1631] * vX_[127] + vX_[598] * vX_[213];
+ vX_[2707] = 0 - vX_[1522] + vX_[2061];
+ vX_[1357] = 0 - vX_[772];
+ vX_[1318] = 0 - vX_[265];
+ vX_[514] = vX_[598] * vX_[545] + vX_[514] * vX_[492] + vX_[536] * vX_[176] + vX_[470] * vX_[214] + vX_[1827] * vX_[225] + vX_[1203] * vX_[205] + vX_[1498] * vX_[199] + vX_[2707] * vX_[196] + vX_[772] * vX_[539] + vX_[1357] * vX_[542] + vX_[1318] * vX_[491] + vX_[536] * vX_[495];
+ vX_[598] = 0 - vX_[963];
+ vX_[1741] = vX_[242] * -1 + vX_[524] * -0.08;
+ vX_[3274] = vX_[1741] + vX_[252] * -0.35;
+ vX_[1744] = vX_[252] * vX_[131] + vX_[288] * vX_[137];
+ vX_[1975] = vX_[252] * vX_[129] + vX_[288] * vX_[131];
+ vX_[2055] = vX_[3274] * 0.881 + (0 - vX_[1744]) * 0.110125 + vX_[1975] * -0.000881;
+ vX_[1022] = vX_[297] * -0.00370574557885489 + vX_[296] * 0.880970354035369;
+ vX_[1025] = vX_[598] * vX_[902] + vX_[2055] * vX_[899] + vX_[1022] * x_in[32];
+ vX_[990] = 0 - vX_[969] + vX_[990];
+ vX_[969] = 0 - vX_[2055];
+ vX_[1055] = vX_[297] * 0.417781802643138 + vX_[296] * -0.00370574557885489;
+ vX_[1162] = vX_[990] * vX_[902] + vX_[969] * vX_[907] - vX_[1055] * x_in[32];
+ vX_[2347] = 0 - vX_[985];
+ vX_[1425] = vX_[1741] * 3.146 + (0 - vX_[252]) * 0.47422804 + vX_[288] * 0.0825825;
+ vX_[1042] = vX_[3516] * vX_[173] + vX_[3536] * vX_[172] + vX_[252] * vX_[149] + vX_[288] * vX_[147];
+ vX_[1726] = vX_[1025] * vX_[131] + vX_[1162] * vX_[129] + vX_[2347] * vX_[890] + vX_[1425] * vX_[887] + vX_[1042] * x_in[31];
+ vX_[952] = 0 - vX_[596] + vX_[952];
+ vX_[596] = 0 - vX_[1425];
+ vX_[3443] = vX_[3516] * vX_[171] + vX_[3536] * vX_[173] + vX_[252] * vX_[155] + vX_[288] * vX_[154];
+ vX_[763] = vX_[1025] * vX_[911] + vX_[1162] * vX_[131] + vX_[952] * vX_[890] + vX_[596] * vX_[897] - vX_[3443] * x_in[31];
+ vX_[1207] = vX_[242] * -3.44;
+ vX_[1371] = vX_[524] * 0.1466472;
+ vX_[1053] = vX_[245] * -0.5824264;
+ vX_[1182] = 0 - vX_[1207] + vX_[1371] - vX_[1053];
+ vX_[1933] = 0 - vX_[1135];
+ vX_[1283] = vX_[3520] * vX_[225] + vX_[242] * vX_[199] + vX_[3545] * vX_[196] + vX_[3559] * vX_[539] + vX_[245] * vX_[489];
+ vX_[1567] = vX_[1726] * vX_[903] + vX_[763] * vX_[148] + vX_[1182] * vX_[813] + vX_[1933] * vX_[882] - vX_[1283] * x_in[30];
+ vX_[1339] = vX_[1150] + vX_[1169] + vX_[1168] - vX_[265] - vX_[536];
+ vX_[1629] = 0 - vX_[1339];
+ vX_[756] = vX_[756] + vX_[1629] * vX_[198];
+ vX_[597] = vX_[597] + vX_[1339] * vX_[127];
+ vX_[1581] = 0 - vX_[1827];
+ vX_[1375] = 0 - vX_[1498];
+ vX_[1856] = vX_[1183] + vX_[1179] + vX_[464] + vX_[453] - vX_[1465] - vX_[686];
+ vX_[2061] = vX_[1856] - vX_[2061];
+ vX_[2058] = 0 - vX_[655];
+ vX_[1875] = 0 - vX_[772];
+ vX_[1885] = 0 - vX_[536];
+ vX_[1871] = vX_[1138] - vX_[1043];
+ vX_[1977] = vX_[1145] - vX_[1043];
+ vX_[1325] = vX_[804] + vX_[1140];
+ vX_[2495] = vX_[1097] + vX_[1148];
+ vX_[2431] = vX_[1068] + vX_[1147];
+ vX_[1909] = 0 - vX_[2431];
+ vX_[1800] = vX_[1871] * vX_[211] + vX_[1325] * vX_[209];
+ vX_[2078] = vX_[1977] * vX_[211];
+ vX_[1319] = vX_[1871] * vX_[197] + vX_[1325] * vX_[211];
+ vX_[2008] = vX_[1977] * vX_[209];
+ vX_[2464] = vX_[1319] + vX_[2008];
+ vX_[2366] = vX_[3274] * -0.000881 + vX_[1975] * -0.000227999999999999;
+ vX_[1504] = vX_[3274] * 0.110125 + (0 - vX_[1744]) * 0.025713;
+ vX_[1416] = (0 - vX_[297]) * -0.000881;
+ vX_[1392] = (0 - vX_[296]) * 0.110125;
+ vX_[1600] = vX_[1416] + vX_[1392];
+ vX_[1600] = vX_[598] * vX_[913] + vX_[990] * vX_[905] + vX_[2366] * vX_[907] + vX_[1504] * vX_[899] + vX_[1600] * vX_[902] + vX_[1600] * vX_[902];
+ vX_[990] = vX_[1741] * 0.0825825 + (0 - vX_[299]) * -0.000102 + vX_[252] * -0.007418 + vX_[288] * 0.002735;
+ vX_[598] = vX_[1741] * 0.47422804 + vX_[299] * 2.1e-05 + (0 - vX_[252]) * 0.084376 + (0 - vX_[288]) * -0.007418;
+ vX_[2708] = (0 - vX_[3516]) * 0.0825825;
+ vX_[1852] = (0 - vX_[3536]) * 0.47422804;
+ vX_[1426] = vX_[252] * -0.000102;
+ vX_[2169] = (0 - vX_[288]) * 2.1e-05;
+ vX_[1333] = vX_[2708] + vX_[1852] + vX_[1426] + vX_[2169];
+ vX_[1333] = vX_[1600] + vX_[1025] * vX_[912] + vX_[1162] * vX_[130] + vX_[2347] * vX_[904] + vX_[952] * vX_[895] + vX_[990] * vX_[897] + vX_[598] * vX_[887] + vX_[1333] * vX_[890] + vX_[1333] * vX_[890];
+ vX_[952] = vX_[242] * -0.5824264 + (0 - vX_[524]) * 0.022734 + vX_[3559] * 3.6e-05 + vX_[245] * -0.133138;
+ vX_[2347] = vX_[242] * 0.1466472 + vX_[524] * 0.009466 + (0 - vX_[3559]) * -5.1e-05 + vX_[245] * 0.022734;
+ vX_[1275] = (0 - vX_[3520]) * -0.5824264;
+ vX_[1556] = (0 - vX_[3545]) * 0.1466472;
+ vX_[1566] = (0 - vX_[524]) * 3.6e-05;
+ vX_[1502] = (0 - vX_[245]) * -5.1e-05;
+ vX_[1457] = vX_[1275] + vX_[1556] + vX_[1566] - vX_[1502];
+ vX_[454] = vX_[3520] * vX_[230] + vX_[242] * vX_[489] + vX_[3545] * vX_[542] + vX_[3559] * vX_[541] + vX_[245] * vX_[193];
+ vX_[1457] = vX_[1726] * vX_[886] + vX_[763] * vX_[163] + vX_[1333] * -1 + vX_[785] * vX_[815] + vX_[1933] * vX_[894] + vX_[952] * vX_[813] + vX_[2347] * vX_[884] + vX_[1457] * vX_[882] + vX_[1457] * vX_[882] + vX_[454] * x_in[30];
+ vX_[960] = vX_[297] * 0.110125 + vX_[296] * -0.000881 + vX_[960] * 0.025941;
+ vX_[1975] = vX_[3274] * -0.000881 + vX_[1975] * 0.000468;
+ vX_[1392] = vX_[963] * vX_[900] + vX_[969] * vX_[905] + vX_[2366] * vX_[902] + vX_[960] * vX_[899] + vX_[1392] * vX_[907] + vX_[1392] * vX_[907] + vX_[1975] * x_in[32];
+ vX_[1744] = vX_[3274] * -0.110125 + vX_[1744] * 0.026409;
+ jac[1171] = vX_[1055] * vX_[909] + vX_[1022] * vX_[913] + vX_[1744] * vX_[938] + vX_[1975] * vX_[907] + vX_[1600];
+ vX_[1744] = vX_[988] * vX_[900] + vX_[2055] * vX_[913] + vX_[1504] * vX_[902] + vX_[960] * vX_[907] + vX_[1416] * vX_[899] + vX_[1416] * vX_[899] - vX_[1744] * x_in[32];
+ vX_[960] = vX_[3516] * 0.47422804 + vX_[3536] * 0.0825825 + vX_[299] * 0.081641 + (0 - vX_[252]) * 2.1e-05 + vX_[288] * -0.000102;
+ vX_[1416] = (0 - vX_[299]) * -0.007418;
+ vX_[2169] = vX_[1852] + vX_[1416] - vX_[2169];
+ vX_[1852] = vX_[1741] * vX_[142] + vX_[3516] * vX_[154] + vX_[3536] * vX_[147] + vX_[252] * vX_[188] + vX_[288] * vX_[184];
+ vX_[2169] = vX_[986] * -0.35 + vX_[1392] * vX_[131] + vX_[1744] * vX_[129] + vX_[985] * vX_[888] + vX_[596] * vX_[895] + vX_[990] * vX_[890] + vX_[960] * vX_[887] + vX_[2169] * vX_[897] + vX_[2169] * vX_[897] + vX_[1852] * x_in[31];
+ vX_[1416] = vX_[2708] - vX_[1416] - vX_[1426];
+ vX_[1426] = vX_[1741] * vX_[151] + vX_[3516] * vX_[155] + vX_[3536] * vX_[149] + vX_[252] * vX_[182] + vX_[288] * vX_[188];
+ jac[1135] = vX_[3443] * vX_[908] + vX_[1042] * vX_[904] + vX_[1426] * vX_[915] + vX_[1852] * vX_[897] + vX_[1333];
+ vX_[1426] = vX_[1392] * vX_[137] + vX_[1744] * vX_[131] + vX_[1306] * vX_[888] + vX_[1425] * vX_[904] + vX_[598] * vX_[890] + vX_[960] * vX_[897] + vX_[1416] * vX_[887] + vX_[1416] * vX_[887] - vX_[1426] * x_in[31];
+ vX_[1053] = vX_[1207] - vX_[1371] + vX_[1053];
+ vX_[1371] = vX_[3520] * 0.1466472 + vX_[3545] * -0.5824264 + vX_[524] * -5.1e-05 + (0 - vX_[3559]) * -0.123672 + (0 - vX_[245]) * 3.6e-05;
+ vX_[1207] = vX_[3559] * 0.022734;
+ vX_[1566] = vX_[1275] - vX_[1566] - vX_[1207];
+ vX_[1275] = vX_[3520] * vX_[167] + vX_[242] * vX_[539] + vX_[3545] * vX_[490] + vX_[3559] * vX_[488] + vX_[245] * vX_[541];
+ vX_[1566] = vX_[2169] * vX_[157] + vX_[1426] * vX_[148] + vX_[1053] * vX_[815] + vX_[1135] * vX_[814] + vX_[1371] * vX_[813] + vX_[2347] * vX_[882] + vX_[1566] * vX_[884] + vX_[1566] * vX_[884] - vX_[1275] * x_in[30];
+ vX_[2347] = 0 - vX_[756];
+ vX_[1135] = 0 - vX_[597];
+ vX_[1856] = 0 - vX_[1856] + vX_[1522];
+ vX_[1522] = 0 - vX_[1631];
+ vX_[2431] = 0 - vX_[2431];
+ jac[451] = 0 - (0 - (vX_[1096] * vX_[941] + vX_[1070] * x_in[22]) + (vX_[1063] * vX_[941] + vX_[514] * vX_[211] + vX_[1070] * x_in[20]) * 0.3735 - (vX_[1028] * vX_[944] + vX_[1567] * x_in[23]) + (vX_[670] * vX_[944] + vX_[1567] * x_in[19]) * -0.3735 + (vX_[752] * vX_[944] + (vX_[1166] * vX_[492] + vX_[1631] * vX_[545] + vX_[1339] * vX_[224] + vX_[575] * vX_[226] + vX_[756] * vX_[196] + vX_[597] * vX_[205] + vX_[1581] * vX_[208] + vX_[1375] * vX_[225] + vX_[2061] * vX_[214] + vX_[2058] * vX_[490] + vX_[1631] * vX_[542] + vX_[1875] * vX_[167] + vX_[1885] * vX_[497]) * -1 + vX_[1567] * x_in[18]) * -0.207 - (vX_[1063] * vX_[946] + vX_[670] * vX_[917] + vX_[1871] * vX_[669] + vX_[1977] * vX_[667] + vX_[1325] * vX_[665] + vX_[2495] * vX_[648] + vX_[1909] * vX_[214] + vX_[1800] * vX_[351] + vX_[2078] * vX_[480] + vX_[2464] * vX_[196] + vX_[1048] * vX_[637] + vX_[422] * vX_[605] + vX_[730] * vX_[232] + vX_[3606] * vX_[222] + vX_[464] * vX_[636] + vX_[453] * vX_[602] + vX_[1115] * vX_[601] + vX_[1217] * vX_[603] + vX_[1236] * vX_[544] + vX_[579] * vX_[604] + vX_[951] * vX_[221] + vX_[1015] * vX_[231] + vX_[3562] * vX_[551] + vX_[3608] * vX_[549] + vX_[3390] * vX_[547] + vX_[518] * vX_[588] + vX_[576] * vX_[589] + vX_[3392] * vX_[498] + vX_[688] * vX_[494] + vX_[1012] * vX_[546] + vX_[514] * vX_[212] + vX_[1457] * x_in[19] + vX_[1566] * x_in[20])) * vX_[3528] + (vX_[1028] * vX_[941] + vX_[1063] * vX_[917] + vX_[1871] * vX_[665] + vX_[2495] * vX_[214] + vX_[1319] * vX_[480] + vX_[1800] * vX_[196] + vX_[422] * vX_[602] + vX_[730] * vX_[222] + vX_[464] * vX_[637] + vX_[1115] * vX_[544] + vX_[1217] * vX_[604] + vX_[951] * vX_[231] + vX_[3562] * vX_[547] + vX_[518] * vX_[589] + vX_[1004] * vX_[494] + vX_[3392] * vX_[546] + (vX_[655] * vX_[543] + vX_[1464] * vX_[176] + vX_[772] * vX_[226] + vX_[1629] * vX_[200] + vX_[265] * vX_[215] + vX_[2347] * vX_[199] + vX_[1762] * vX_[208] + vX_[1135] * vX_[196] + vX_[3451] * vX_[214] + vX_[1856] * vX_[225] + vX_[655] * vX_[539] + vX_[1522] * vX_[489] + vX_[772] * vX_[230] + vX_[265] * vX_[486]) * 0.207 + vX_[1070] * x_in[23] + vX_[1457] * x_in[20] + (vX_[670] * vX_[941] + vX_[514] * vX_[209] + vX_[1070] * x_in[19]) * 0.3735 + (vX_[752] * vX_[941] + vX_[1070] * x_in[18]) * 0.207 - (vX_[1096] * vX_[944] + vX_[1567] * x_in[22]) + (vX_[1063] * vX_[944] + vX_[1567] * x_in[20]) * 0.3735 - (vX_[670] * vX_[946] + vX_[1977] * vX_[666] + vX_[1325] * vX_[669] + vX_[2431] * vX_[648] + vX_[2078] * vX_[196] + vX_[2008] * vX_[351] + vX_[1048] * vX_[636] + vX_[3606] * vX_[232] + vX_[453] * vX_[605] + vX_[1236] * vX_[601] + vX_[579] * vX_[603] + vX_[1015] * vX_[221] + vX_[3608] * vX_[548] + vX_[3390] * vX_[551] + vX_[1642] * vX_[588] + vX_[688] * vX_[546] + vX_[974] * vX_[498] + vX_[514] * vX_[210] + vX_[1566] * x_in[19])) * vX_[989];
+ vX_[1325] = vX_[1160] * -1 + vX_[1184] * 0.207;
+ vX_[1977] = vX_[1229] * vX_[125] + vX_[1233] * vX_[893] + vX_[1184] * vX_[891] + vX_[1193] * vX_[892] + vX_[1061] * vX_[126];
+ vX_[1871] = vX_[1184] * vX_[197] + vX_[1193] * vX_[211];
+ vX_[1629] = vX_[1325] * vX_[148] + vX_[1977] * vX_[903] + vX_[1871] * vX_[886];
+ vX_[1339] = vX_[1325] * vX_[128] + vX_[1977] * vX_[148] + vX_[1871] * vX_[163];
+ vX_[514] = vX_[1871] * -1;
+ vX_[1464] = vX_[1629] * 1 / vX_[145];
+ vX_[576] = vX_[1339] * 1 / vX_[145];
+ vX_[1236] = vX_[514] * 1 / vX_[145];
+ vX_[1115] = vX_[1061] * -1;
+ vX_[1166] = vX_[1325] * 1 / vX_[194];
+ vX_[1642] = vX_[1229] * vX_[197] + vX_[1233] * vX_[879] + vX_[1184] * vX_[212] + vX_[1193] * vX_[210] + vX_[1061] * vX_[880];
+ vX_[518] = vX_[1642] * 1 / vX_[194];
+ vX_[579] = vX_[1977] * 1 / vX_[194];
+ vX_[453] = vX_[1115] * 1 / vX_[194];
+ vX_[422] = vX_[1871] * 1 / vX_[194];
+ vX_[1217] = vX_[1184] * vX_[211] + vX_[1193] * vX_[209];
+ vX_[464] = vX_[1217] * 1 / vX_[194];
+ vX_[1115] = vX_[1115] - (vX_[1166] * vX_[206] + vX_[518] * vX_[168] + vX_[579] * vX_[158] + vX_[453] * vX_[194] + vX_[422] * vX_[220] + vX_[464] * vX_[229]);
+ vX_[1048] = vX_[1115] * vX_[148] + vX_[1217] * vX_[157];
+ vX_[575] = vX_[1048] * 1 / vX_[145];
+ vX_[1015] = vX_[1115] * vX_[128] + vX_[1217] * vX_[148];
+ vX_[730] = vX_[1015] * 1 / vX_[145];
+ vX_[514] = vX_[514] - (vX_[1464] * vX_[152] + vX_[576] * vX_[143] + vX_[1236] * vX_[145] + vX_[575] * 2.1e-05 + vX_[730] * -0.000102);
+ vX_[951] = vX_[1629] * vX_[129] + vX_[1339] * vX_[131] + vX_[514] * vX_[130];
+ vX_[3606] = vX_[1629] * vX_[131] + vX_[1339] * vX_[911] + vX_[514] * vX_[912];
+ vX_[1012] = vX_[514] - (vX_[3606] * 38.1956380581338 * 0.110125 + vX_[951] * 38.1956380581338 * 0.000881 + vX_[514] * 38.1956380581338 * 0.026181);
+ vX_[974] = vX_[951] * 0.881 + (0 - vX_[1012]) * -0.000881;
+ vX_[1004] = vX_[3606] * -0.881;
+ vX_[688] = vX_[1012] * 0.110125;
+ vX_[3608] = vX_[1004] - vX_[688];
+ vX_[3392] = vX_[974] * vX_[907] + vX_[3608] * vX_[899];
+ vX_[3390] = vX_[1339] * 3.146 + (0 - vX_[514]) * 0.0825825;
+ vX_[3562] = vX_[1629] * -3.146;
+ vX_[1416] = vX_[514] * 0.47422804;
+ vX_[960] = vX_[3562] - vX_[1416];
+ vX_[598] = vX_[3392] + vX_[3390] * vX_[897] + vX_[960] * vX_[887];
+ vX_[1425] = vX_[1977] * 3.44 + vX_[1871] * -0.5824264;
+ vX_[1306] = 0 - vX_[1425];
+ vX_[1852] = vX_[1325] * 3.44 + (0 - vX_[1871]) * 0.1466472;
+ vX_[1333] = vX_[1325] * vX_[214] + vX_[1642] * vX_[196] + vX_[1977] * vX_[205] + vX_[1871] * vX_[490] + vX_[1217] * vX_[542];
+ vX_[3443] = vX_[598] * -1 + vX_[1306] * vX_[813] + vX_[1852] * vX_[884] + vX_[1333] * x_in[30];
+ vX_[1042] = vX_[1281] - vX_[1299];
+ vX_[2708] = vX_[1171] + vX_[1267];
+ vX_[990] = vX_[1042] * vX_[211] + vX_[2708] * vX_[209];
+ vX_[596] = vX_[1300] - vX_[1299];
+ vX_[985] = vX_[596] * vX_[211];
+ vX_[986] = vX_[1042] * vX_[197] + vX_[2708] * vX_[211];
+ vX_[1504] = vX_[596] * vX_[209];
+ vX_[2055] = vX_[986] + vX_[1504];
+ vX_[988] = vX_[990] * vX_[197] + vX_[985] * vX_[209] + vX_[2055] * vX_[211];
+ vX_[1975] = 0 - vX_[988];
+ vX_[1600] = vX_[1299] + vX_[986] * vX_[197] + vX_[985] * vX_[211];
+ vX_[1055] = 0 - vX_[1600];
+ vX_[1022] = vX_[1299] + vX_[990] * vX_[211] + vX_[1504] * vX_[209];
+ vX_[3274] = vX_[1303] + vX_[1309];
+ vX_[2366] = vX_[1312] + vX_[1154] - vX_[3274];
+ vX_[969] = vX_[1292] + vX_[1308];
+ vX_[963] = 0 - (vX_[1280] + vX_[1201]) + vX_[969];
+ vX_[297] = (vX_[969] * vX_[197] + vX_[3274] * vX_[211]) * -1;
+ vX_[296] = 0 - (vX_[2366] * vX_[211] + vX_[963] * vX_[209]) + vX_[297];
+ vX_[1933] = vX_[296] + vX_[1600] * vX_[198];
+ vX_[1460] = 0 - vX_[1933];
+ vX_[1959] = (vX_[969] * vX_[211] + vX_[3274] * vX_[209]) * -1;
+ vX_[1699] = vX_[2366] * vX_[197] + vX_[963] * vX_[211] + vX_[1959];
+ vX_[2027] = 0 - vX_[1022];
+ vX_[2050] = vX_[1699] + vX_[988] * vX_[198] + vX_[2027] * vX_[127];
+ vX_[1997] = vX_[1279] + vX_[1271];
+ vX_[2154] = vX_[1273] + vX_[1270];
+ vX_[2185] = vX_[1997] * vX_[209] + vX_[2154] * vX_[211];
+ vX_[2203] = vX_[1290] + vX_[1176];
+ vX_[2107] = vX_[1301] + vX_[1269];
+ vX_[2155] = vX_[2203] * vX_[211] + vX_[2107] * vX_[209];
+ vX_[2491] = vX_[2185] * vX_[197] + vX_[2155] * vX_[211];
+ vX_[1619] = vX_[1194] + vX_[1289];
+ vX_[2739] = vX_[1316] + vX_[1311];
+ vX_[2454] = 0 - vX_[2739];
+ vX_[2289] = vX_[1619] * vX_[211] + vX_[2454] * vX_[209];
+ vX_[2397] = 0 - vX_[2289];
+ vX_[2640] = vX_[2491] + vX_[2397] * vX_[127] + vX_[1055] * vX_[213];
+ vX_[1653] = 0 - vX_[2640];
+ vX_[2445] = vX_[1997] * vX_[211] + vX_[2154] * vX_[197];
+ vX_[2967] = vX_[2203] * vX_[197] + vX_[2107] * vX_[211];
+ vX_[3124] = vX_[2445] * vX_[211] + vX_[2967] * vX_[209];
+ vX_[2739] = 0 - vX_[2739];
+ vX_[1913] = vX_[1619] * vX_[197] + vX_[2739] * vX_[211];
+ vX_[2018] = 0 - vX_[1913];
+ vX_[1807] = vX_[3124] + vX_[2018] * vX_[198] + vX_[1022] * vX_[213];
+ vX_[1985] = vX_[2445] * vX_[197] + vX_[2967] * vX_[211];
+ vX_[3077] = vX_[1985] + vX_[2289] * vX_[198];
+ vX_[1998] = vX_[2185] * vX_[211] + vX_[2155] * vX_[209];
+ vX_[1836] = vX_[1998] + vX_[1913] * vX_[127] + vX_[1975] * vX_[213];
+ vX_[2238] = 0 - vX_[3077] + vX_[1836];
+ vX_[1675] = 0 - vX_[988];
+ vX_[1506] = 0 - vX_[1600];
+ vX_[1055] = vX_[1975] * vX_[545] + vX_[1055] * vX_[492] + vX_[1022] * vX_[176] + vX_[1460] * vX_[214] + vX_[2050] * vX_[225] + vX_[1653] * vX_[205] + vX_[1807] * vX_[199] + vX_[2238] * vX_[196] + vX_[988] * vX_[539] + vX_[1675] * vX_[542] + vX_[1506] * vX_[491] + vX_[1022] * vX_[495];
+ vX_[1975] = 0 - vX_[974];
+ vX_[2026] = vX_[1642] * -1 + vX_[1115] * -0.08;
+ vX_[2433] = vX_[2026] + vX_[1048] * -0.35;
+ vX_[1911] = vX_[1048] * vX_[131] + vX_[1015] * vX_[137];
+ vX_[2003] = vX_[1048] * vX_[129] + vX_[1015] * vX_[131];
+ vX_[2868] = vX_[2433] * 0.881 + (0 - vX_[1911]) * 0.110125 + vX_[2003] * -0.000881;
+ vX_[1952] = vX_[3606] * -0.00370574557885489 + vX_[951] * 0.880970354035369;
+ vX_[2435] = vX_[1975] * vX_[902] + vX_[2868] * vX_[899] + vX_[1952] * x_in[32];
+ vX_[688] = 0 - vX_[1004] + vX_[688];
+ vX_[1004] = 0 - vX_[2868];
+ vX_[2133] = vX_[3606] * 0.417781802643138 + vX_[951] * -0.00370574557885489;
+ vX_[2308] = vX_[688] * vX_[902] + vX_[1004] * vX_[907] - vX_[2133] * x_in[32];
+ vX_[3151] = 0 - vX_[3390];
+ vX_[2094] = vX_[2026] * 3.146 + (0 - vX_[1048]) * 0.47422804 + vX_[1015] * 0.0825825;
+ vX_[2645] = vX_[1629] * vX_[173] + vX_[1339] * vX_[172] + vX_[1048] * vX_[149] + vX_[1015] * vX_[147];
+ vX_[2718] = vX_[2435] * vX_[131] + vX_[2308] * vX_[129] + vX_[3151] * vX_[890] + vX_[2094] * vX_[887] + vX_[2645] * x_in[31];
+ vX_[1416] = 0 - vX_[3562] + vX_[1416];
+ vX_[3562] = 0 - vX_[2094];
+ vX_[2649] = vX_[1629] * vX_[171] + vX_[1339] * vX_[173] + vX_[1048] * vX_[155] + vX_[1015] * vX_[154];
+ vX_[2565] = vX_[2435] * vX_[911] + vX_[2308] * vX_[131] + vX_[1416] * vX_[890] + vX_[3562] * vX_[897] - vX_[2649] * x_in[31];
+ vX_[2611] = vX_[1642] * -3.44;
+ vX_[2941] = vX_[1115] * 0.1466472;
+ vX_[2269] = vX_[1217] * -0.5824264;
+ vX_[2049] = 0 - vX_[2611] + vX_[2941] - vX_[2269];
+ vX_[3229] = 0 - vX_[1852];
+ vX_[795] = vX_[1325] * vX_[225] + vX_[1642] * vX_[199] + vX_[1977] * vX_[196] + vX_[1871] * vX_[539] + vX_[1217] * vX_[489];
+ vX_[2486] = vX_[2718] * vX_[903] + vX_[2565] * vX_[148] + vX_[2049] * vX_[813] + vX_[3229] * vX_[882] - vX_[795] * x_in[30];
+ vX_[2518] = vX_[1281] + vX_[1300] + vX_[1299] - vX_[1600] - vX_[1022];
+ vX_[2408] = 0 - vX_[2518];
+ vX_[297] = vX_[297] + vX_[2408] * vX_[198];
+ vX_[1959] = vX_[1959] + vX_[2518] * vX_[127];
+ vX_[3087] = 0 - vX_[2050];
+ vX_[2943] = 0 - vX_[1807];
+ vX_[2416] = vX_[1314] + vX_[1310] + vX_[2154] + vX_[2107] - vX_[1985] - vX_[1998];
+ vX_[1836] = vX_[2416] - vX_[1836];
+ vX_[440] = 0 - vX_[2289];
+ vX_[2198] = 0 - vX_[988];
+ vX_[2215] = 0 - vX_[1022];
+ vX_[2083] = vX_[1266] - vX_[1144];
+ vX_[2450] = vX_[1274] - vX_[1144];
+ vX_[2903] = vX_[1230] + vX_[1268];
+ vX_[1942] = vX_[1234] + vX_[1277];
+ vX_[2452] = vX_[751] + vX_[1276];
+ vX_[2281] = 0 - vX_[2452];
+ vX_[2123] = vX_[2083] * vX_[211] + vX_[2903] * vX_[209];
+ vX_[2406] = vX_[2450] * vX_[211];
+ vX_[2271] = vX_[2083] * vX_[197] + vX_[2903] * vX_[211];
+ vX_[2298] = vX_[2450] * vX_[209];
+ vX_[393] = vX_[2271] + vX_[2298];
+ vX_[2272] = vX_[2433] * -0.000881 + vX_[2003] * -0.000227999999999999;
+ vX_[3089] = vX_[2433] * 0.110125 + (0 - vX_[1911]) * 0.025713;
+ vX_[968] = (0 - vX_[3606]) * -0.000881;
+ vX_[3133] = (0 - vX_[951]) * 0.110125;
+ vX_[2494] = vX_[968] + vX_[3133];
+ vX_[2494] = vX_[1975] * vX_[913] + vX_[688] * vX_[905] + vX_[2272] * vX_[907] + vX_[3089] * vX_[899] + vX_[2494] * vX_[902] + vX_[2494] * vX_[902];
+ vX_[688] = vX_[2026] * 0.0825825 + (0 - vX_[514]) * -0.000102 + vX_[1048] * -0.007418 + vX_[1015] * 0.002735;
+ vX_[1975] = vX_[2026] * 0.47422804 + vX_[514] * 2.1e-05 + (0 - vX_[1048]) * 0.084376 + (0 - vX_[1015]) * -0.007418;
+ vX_[2817] = (0 - vX_[1629]) * 0.0825825;
+ vX_[2499] = (0 - vX_[1339]) * 0.47422804;
+ vX_[2596] = vX_[1048] * -0.000102;
+ vX_[399] = (0 - vX_[1015]) * 2.1e-05;
+ vX_[2531] = vX_[2817] + vX_[2499] + vX_[2596] + vX_[399];
+ vX_[2531] = vX_[2494] + vX_[2435] * vX_[912] + vX_[2308] * vX_[130] + vX_[3151] * vX_[904] + vX_[1416] * vX_[895] + vX_[688] * vX_[897] + vX_[1975] * vX_[887] + vX_[2531] * vX_[890] + vX_[2531] * vX_[890];
+ vX_[1416] = vX_[1642] * -0.5824264 + (0 - vX_[1115]) * 0.022734 + vX_[1871] * 3.6e-05 + vX_[1217] * -0.133138;
+ vX_[3151] = vX_[1642] * 0.1466472 + vX_[1115] * 0.009466 + (0 - vX_[1871]) * -5.1e-05 + vX_[1217] * 0.022734;
+ vX_[3091] = (0 - vX_[1325]) * -0.5824264;
+ vX_[2991] = (0 - vX_[1977]) * 0.1466472;
+ vX_[2795] = (0 - vX_[1115]) * 3.6e-05;
+ vX_[3059] = (0 - vX_[1217]) * -5.1e-05;
+ vX_[3009] = vX_[3091] + vX_[2991] + vX_[2795] - vX_[3059];
+ vX_[3082] = vX_[1325] * vX_[230] + vX_[1642] * vX_[489] + vX_[1977] * vX_[542] + vX_[1871] * vX_[541] + vX_[1217] * vX_[193];
+ vX_[3009] = vX_[2718] * vX_[886] + vX_[2565] * vX_[163] + vX_[2531] * -1 + vX_[1425] * vX_[815] + vX_[3229] * vX_[894] + vX_[1416] * vX_[813] + vX_[3151] * vX_[884] + vX_[3009] * vX_[882] + vX_[3009] * vX_[882] + vX_[3082] * x_in[30];
+ vX_[1012] = vX_[3606] * 0.110125 + vX_[951] * -0.000881 + vX_[1012] * 0.025941;
+ vX_[2003] = vX_[2433] * -0.000881 + vX_[2003] * 0.000468;
+ vX_[3133] = vX_[974] * vX_[900] + vX_[1004] * vX_[905] + vX_[2272] * vX_[902] + vX_[1012] * vX_[899] + vX_[3133] * vX_[907] + vX_[3133] * vX_[907] + vX_[2003] * x_in[32];
+ vX_[1911] = vX_[2433] * -0.110125 + vX_[1911] * 0.026409;
+ jac[1172] = vX_[2133] * vX_[909] + vX_[1952] * vX_[913] + vX_[1911] * vX_[938] + vX_[2003] * vX_[907] + vX_[2494];
+ vX_[1911] = vX_[3608] * vX_[900] + vX_[2868] * vX_[913] + vX_[3089] * vX_[902] + vX_[1012] * vX_[907] + vX_[968] * vX_[899] + vX_[968] * vX_[899] - vX_[1911] * x_in[32];
+ vX_[1012] = vX_[1629] * 0.47422804 + vX_[1339] * 0.0825825 + vX_[514] * 0.081641 + (0 - vX_[1048]) * 2.1e-05 + vX_[1015] * -0.000102;
+ vX_[968] = (0 - vX_[514]) * -0.007418;
+ vX_[399] = vX_[2499] + vX_[968] - vX_[399];
+ vX_[2499] = vX_[2026] * vX_[142] + vX_[1629] * vX_[154] + vX_[1339] * vX_[147] + vX_[1048] * vX_[188] + vX_[1015] * vX_[184];
+ vX_[399] = vX_[3392] * -0.35 + vX_[3133] * vX_[131] + vX_[1911] * vX_[129] + vX_[3390] * vX_[888] + vX_[3562] * vX_[895] + vX_[688] * vX_[890] + vX_[1012] * vX_[887] + vX_[399] * vX_[897] + vX_[399] * vX_[897] + vX_[2499] * x_in[31];
+ vX_[968] = vX_[2817] - vX_[968] - vX_[2596];
+ vX_[2596] = vX_[2026] * vX_[151] + vX_[1629] * vX_[155] + vX_[1339] * vX_[149] + vX_[1048] * vX_[182] + vX_[1015] * vX_[188];
+ jac[1136] = vX_[2649] * vX_[908] + vX_[2645] * vX_[904] + vX_[2596] * vX_[915] + vX_[2499] * vX_[897] + vX_[2531];
+ vX_[2596] = vX_[3133] * vX_[137] + vX_[1911] * vX_[131] + vX_[960] * vX_[888] + vX_[2094] * vX_[904] + vX_[1975] * vX_[890] + vX_[1012] * vX_[897] + vX_[968] * vX_[887] + vX_[968] * vX_[887] - vX_[2596] * x_in[31];
+ vX_[2269] = vX_[2611] - vX_[2941] + vX_[2269];
+ vX_[2941] = vX_[1325] * 0.1466472 + vX_[1977] * -0.5824264 + vX_[1115] * -5.1e-05 + (0 - vX_[1871]) * -0.123672 + (0 - vX_[1217]) * 3.6e-05;
+ vX_[2611] = vX_[1871] * 0.022734;
+ vX_[2795] = vX_[3091] - vX_[2795] - vX_[2611];
+ vX_[3091] = vX_[1325] * vX_[167] + vX_[1642] * vX_[539] + vX_[1977] * vX_[490] + vX_[1871] * vX_[488] + vX_[1217] * vX_[541];
+ vX_[2795] = vX_[399] * vX_[157] + vX_[2596] * vX_[148] + vX_[2269] * vX_[815] + vX_[1852] * vX_[814] + vX_[2941] * vX_[813] + vX_[3151] * vX_[882] + vX_[2795] * vX_[884] + vX_[2795] * vX_[884] - vX_[3091] * x_in[30];
+ vX_[3151] = 0 - vX_[297];
+ vX_[1852] = 0 - vX_[1959];
+ vX_[2416] = 0 - vX_[2416] + vX_[3077];
+ vX_[3077] = 0 - vX_[1913];
+ vX_[2452] = 0 - vX_[2452];
+ jac[452] = 0 - (0 - (vX_[1233] * vX_[941] + vX_[3443] * x_in[22]) + (vX_[1184] * vX_[941] + vX_[1055] * vX_[211] + vX_[3443] * x_in[20]) * 0.3735 - (vX_[1229] * vX_[944] + vX_[2486] * x_in[23]) + (vX_[1193] * vX_[944] + vX_[2486] * x_in[19]) * -0.3735 + (vX_[1061] * vX_[944] + (vX_[2397] * vX_[492] + vX_[1913] * vX_[545] + vX_[2518] * vX_[224] + vX_[2027] * vX_[226] + vX_[297] * vX_[196] + vX_[1959] * vX_[205] + vX_[3087] * vX_[208] + vX_[2943] * vX_[225] + vX_[1836] * vX_[214] + vX_[440] * vX_[490] + vX_[1913] * vX_[542] + vX_[2198] * vX_[167] + vX_[2215] * vX_[497]) * -1 + vX_[2486] * x_in[18]) * -0.207 - (vX_[1184] * vX_[946] + vX_[1193] * vX_[917] + vX_[2083] * vX_[669] + vX_[2450] * vX_[667] + vX_[2903] * vX_[665] + vX_[1942] * vX_[648] + vX_[2281] * vX_[214] + vX_[2123] * vX_[351] + vX_[2406] * vX_[480] + vX_[393] * vX_[196] + vX_[1997] * vX_[637] + vX_[2203] * vX_[605] + vX_[969] * vX_[232] + vX_[3274] * vX_[222] + vX_[2154] * vX_[636] + vX_[2107] * vX_[602] + vX_[2445] * vX_[601] + vX_[2185] * vX_[603] + vX_[2967] * vX_[544] + vX_[2155] * vX_[604] + vX_[2366] * vX_[221] + vX_[963] * vX_[231] + vX_[1042] * vX_[551] + vX_[596] * vX_[549] + vX_[2708] * vX_[547] + vX_[1619] * vX_[588] + vX_[2739] * vX_[589] + vX_[990] * vX_[498] + vX_[985] * vX_[494] + vX_[2055] * vX_[546] + vX_[1055] * vX_[212] + vX_[3009] * x_in[19] + vX_[2795] * x_in[20])) * vX_[3528] + (vX_[1229] * vX_[941] + vX_[1184] * vX_[917] + vX_[2083] * vX_[665] + vX_[1942] * vX_[214] + vX_[2271] * vX_[480] + vX_[2123] * vX_[196] + vX_[2203] * vX_[602] + vX_[969] * vX_[222] + vX_[2154] * vX_[637] + vX_[2445] * vX_[544] + vX_[2185] * vX_[604] + vX_[2366] * vX_[231] + vX_[1042] * vX_[547] + vX_[1619] * vX_[589] + vX_[986] * vX_[494] + vX_[990] * vX_[546] + (vX_[2289] * vX_[543] + vX_[2018] * vX_[176] + vX_[988] * vX_[226] + vX_[2408] * vX_[200] + vX_[1600] * vX_[215] + vX_[3151] * vX_[199] + vX_[1933] * vX_[208] + vX_[1852] * vX_[196] + vX_[2640] * vX_[214] + vX_[2416] * vX_[225] + vX_[2289] * vX_[539] + vX_[3077] * vX_[489] + vX_[988] * vX_[230] + vX_[1600] * vX_[486]) * 0.207 + vX_[3443] * x_in[23] + vX_[3009] * x_in[20] + (vX_[1193] * vX_[941] + vX_[1055] * vX_[209] + vX_[3443] * x_in[19]) * 0.3735 + (vX_[1061] * vX_[941] + vX_[3443] * x_in[18]) * 0.207 - (vX_[1233] * vX_[944] + vX_[2486] * x_in[22]) + (vX_[1184] * vX_[944] + vX_[2486] * x_in[20]) * 0.3735 - (vX_[1193] * vX_[946] + vX_[2450] * vX_[666] + vX_[2903] * vX_[669] + vX_[2452] * vX_[648] + vX_[2406] * vX_[196] + vX_[2298] * vX_[351] + vX_[1997] * vX_[636] + vX_[3274] * vX_[232] + vX_[2107] * vX_[605] + vX_[2967] * vX_[601] + vX_[2155] * vX_[603] + vX_[963] * vX_[221] + vX_[596] * vX_[548] + vX_[2708] * vX_[551] + vX_[2454] * vX_[588] + vX_[985] * vX_[546] + vX_[1504] * vX_[498] + vX_[1055] * vX_[210] + vX_[2795] * x_in[19])) * vX_[989];
+ vX_[2903] = vX_[1332] * -1 + vX_[1285] * 0.207;
+ vX_[2450] = vX_[1364] * vX_[125] + vX_[1361] * vX_[893] + vX_[1285] * vX_[891] + vX_[1326] * vX_[892] + vX_[1305] * vX_[126];
+ vX_[2083] = vX_[1285] * vX_[197] + vX_[1326] * vX_[211];
+ vX_[2408] = vX_[2903] * vX_[148] + vX_[2450] * vX_[903] + vX_[2083] * vX_[886];
+ vX_[2518] = vX_[2903] * vX_[128] + vX_[2450] * vX_[148] + vX_[2083] * vX_[163];
+ vX_[1055] = vX_[2083] * -1;
+ vX_[2018] = vX_[2408] * 1 / vX_[145];
+ vX_[2739] = vX_[2518] * 1 / vX_[145];
+ vX_[2967] = vX_[1055] * 1 / vX_[145];
+ vX_[2445] = vX_[1305] * -1;
+ vX_[2397] = vX_[2903] * 1 / vX_[194];
+ vX_[2454] = vX_[1364] * vX_[197] + vX_[1361] * vX_[879] + vX_[1285] * vX_[212] + vX_[1326] * vX_[210] + vX_[1305] * vX_[880];
+ vX_[1619] = vX_[2454] * 1 / vX_[194];
+ vX_[2155] = vX_[2450] * 1 / vX_[194];
+ vX_[2107] = vX_[2445] * 1 / vX_[194];
+ vX_[2203] = vX_[2083] * 1 / vX_[194];
+ vX_[2185] = vX_[1285] * vX_[211] + vX_[1326] * vX_[209];
+ vX_[2154] = vX_[2185] * 1 / vX_[194];
+ vX_[2445] = vX_[2445] - (vX_[2397] * vX_[206] + vX_[1619] * vX_[168] + vX_[2155] * vX_[158] + vX_[2107] * vX_[194] + vX_[2203] * vX_[220] + vX_[2154] * vX_[229]);
+ vX_[1997] = vX_[2445] * vX_[148] + vX_[2185] * vX_[157];
+ vX_[2027] = vX_[1997] * 1 / vX_[145];
+ vX_[963] = vX_[2445] * vX_[128] + vX_[2185] * vX_[148];
+ vX_[969] = vX_[963] * 1 / vX_[145];
+ vX_[1055] = vX_[1055] - (vX_[2018] * vX_[152] + vX_[2739] * vX_[143] + vX_[2967] * vX_[145] + vX_[2027] * 2.1e-05 + vX_[969] * -0.000102);
+ vX_[2366] = vX_[2408] * vX_[129] + vX_[2518] * vX_[131] + vX_[1055] * vX_[130];
+ vX_[3274] = vX_[2408] * vX_[131] + vX_[2518] * vX_[911] + vX_[1055] * vX_[912];
+ vX_[2055] = vX_[1055] - (vX_[3274] * 38.1956380581338 * 0.110125 + vX_[2366] * 38.1956380581338 * 0.000881 + vX_[1055] * 38.1956380581338 * 0.026181);
+ vX_[1504] = vX_[2366] * 0.881 + (0 - vX_[2055]) * -0.000881;
+ vX_[986] = vX_[3274] * -0.881;
+ vX_[985] = vX_[2055] * 0.110125;
+ vX_[596] = vX_[986] - vX_[985];
+ vX_[990] = vX_[1504] * vX_[907] + vX_[596] * vX_[899];
+ vX_[2708] = vX_[2518] * 3.146 + (0 - vX_[1055]) * 0.0825825;
+ vX_[1042] = vX_[2408] * -3.146;
+ vX_[968] = vX_[1055] * 0.47422804;
+ vX_[1012] = vX_[1042] - vX_[968];
+ vX_[1975] = vX_[990] + vX_[2708] * vX_[897] + vX_[1012] * vX_[887];
+ vX_[2094] = vX_[2450] * 3.44 + vX_[2083] * -0.5824264;
+ vX_[960] = 0 - vX_[2094];
+ vX_[2499] = vX_[2903] * 3.44 + (0 - vX_[2083]) * 0.1466472;
+ vX_[2531] = vX_[2903] * vX_[214] + vX_[2454] * vX_[196] + vX_[2450] * vX_[205] + vX_[2083] * vX_[490] + vX_[2185] * vX_[542];
+ vX_[2649] = vX_[1975] * -1 + vX_[960] * vX_[813] + vX_[2499] * vX_[884] + vX_[2531] * x_in[30];
+ vX_[2645] = vX_[1412] - vX_[1430];
+ vX_[2817] = vX_[1272] + vX_[1396];
+ vX_[688] = vX_[2645] * vX_[211] + vX_[2817] * vX_[209];
+ vX_[3562] = vX_[1431] - vX_[1430];
+ vX_[3390] = vX_[3562] * vX_[211];
+ vX_[3392] = vX_[2645] * vX_[197] + vX_[2817] * vX_[211];
+ vX_[3089] = vX_[3562] * vX_[209];
+ vX_[2868] = vX_[3392] + vX_[3089];
+ vX_[3608] = vX_[688] * vX_[197] + vX_[3390] * vX_[209] + vX_[2868] * vX_[211];
+ vX_[2003] = 0 - vX_[3608];
+ vX_[2494] = vX_[1430] + vX_[3392] * vX_[197] + vX_[3390] * vX_[211];
+ vX_[2133] = 0 - vX_[2494];
+ vX_[1952] = vX_[1430] + vX_[688] * vX_[211] + vX_[3089] * vX_[209];
+ vX_[2433] = vX_[1434] + vX_[1440];
+ vX_[2272] = vX_[1443] + vX_[1291] - vX_[2433];
+ vX_[1004] = vX_[1423] + vX_[1439];
+ vX_[974] = 0 - (vX_[1411] + vX_[1360]) + vX_[1004];
+ vX_[3606] = (vX_[1004] * vX_[197] + vX_[2433] * vX_[211]) * -1;
+ vX_[951] = 0 - (vX_[2272] * vX_[211] + vX_[974] * vX_[209]) + vX_[3606];
+ vX_[3229] = vX_[951] + vX_[2494] * vX_[198];
+ vX_[2451] = 0 - vX_[3229];
+ vX_[2490] = (vX_[1004] * vX_[211] + vX_[2433] * vX_[209]) * -1;
+ vX_[2352] = vX_[2272] * vX_[197] + vX_[974] * vX_[211] + vX_[2490];
+ vX_[2323] = 0 - vX_[1952];
+ vX_[3195] = vX_[2352] + vX_[3608] * vX_[198] + vX_[2323] * vX_[127];
+ vX_[2612] = vX_[1410] + vX_[1400];
+ vX_[2303] = vX_[1403] + vX_[1399];
+ vX_[2063] = vX_[2612] * vX_[209] + vX_[2303] * vX_[211];
+ vX_[2131] = vX_[1421] + vX_[1302];
+ vX_[2284] = vX_[1432] + vX_[1398];
+ vX_[3088] = vX_[2131] * vX_[211] + vX_[2284] * vX_[209];
+ vX_[2279] = vX_[2063] * vX_[197] + vX_[3088] * vX_[211];
+ vX_[2338] = vX_[1327] + vX_[1420];
+ vX_[2335] = vX_[1447] + vX_[1442];
+ vX_[2256] = 0 - vX_[2335];
+ vX_[2254] = vX_[2338] * vX_[211] + vX_[2256] * vX_[209];
+ vX_[237] = 0 - vX_[2254];
+ vX_[2200] = vX_[2279] + vX_[237] * vX_[127] + vX_[2133] * vX_[213];
+ vX_[3301] = 0 - vX_[2200];
+ vX_[2577] = vX_[2612] * vX_[211] + vX_[2303] * vX_[197];
+ vX_[2758] = vX_[2131] * vX_[197] + vX_[2284] * vX_[211];
+ vX_[2296] = vX_[2577] * vX_[211] + vX_[2758] * vX_[209];
+ vX_[2335] = 0 - vX_[2335];
+ vX_[2914] = vX_[2338] * vX_[197] + vX_[2335] * vX_[211];
+ vX_[586] = 0 - vX_[2914];
+ vX_[2567] = vX_[2296] + vX_[586] * vX_[198] + vX_[1952] * vX_[213];
+ vX_[2306] = vX_[2577] * vX_[197] + vX_[2758] * vX_[211];
+ vX_[3353] = vX_[2306] + vX_[2254] * vX_[198];
+ vX_[2575] = vX_[2063] * vX_[211] + vX_[3088] * vX_[209];
+ vX_[2493] = vX_[2575] + vX_[2914] * vX_[127] + vX_[2003] * vX_[213];
+ vX_[2521] = 0 - vX_[3353] + vX_[2493];
+ vX_[2126] = 0 - vX_[3608];
+ vX_[2301] = 0 - vX_[2494];
+ vX_[2133] = vX_[2003] * vX_[545] + vX_[2133] * vX_[492] + vX_[1952] * vX_[176] + vX_[2451] * vX_[214] + vX_[3195] * vX_[225] + vX_[3301] * vX_[205] + vX_[2567] * vX_[199] + vX_[2521] * vX_[196] + vX_[3608] * vX_[539] + vX_[2126] * vX_[542] + vX_[2301] * vX_[491] + vX_[1952] * vX_[495];
+ vX_[2003] = 0 - vX_[1504];
+ vX_[2549] = vX_[2454] * -1 + vX_[2445] * -0.08;
+ vX_[1418] = vX_[2549] + vX_[1997] * -0.35;
+ vX_[2764] = vX_[1997] * vX_[131] + vX_[963] * vX_[137];
+ vX_[3311] = vX_[1997] * vX_[129] + vX_[963] * vX_[131];
+ vX_[2858] = vX_[1418] * 0.881 + (0 - vX_[2764]) * 0.110125 + vX_[3311] * -0.000881;
+ vX_[3235] = vX_[3274] * -0.00370574557885489 + vX_[2366] * 0.880970354035369;
+ vX_[466] = vX_[2003] * vX_[902] + vX_[2858] * vX_[899] + vX_[3235] * x_in[32];
+ vX_[985] = 0 - vX_[986] + vX_[985];
+ vX_[986] = 0 - vX_[2858];
+ vX_[2981] = vX_[3274] * 0.417781802643138 + vX_[2366] * -0.00370574557885489;
+ vX_[432] = vX_[985] * vX_[902] + vX_[986] * vX_[907] - vX_[2981] * x_in[32];
+ vX_[3406] = 0 - vX_[2708];
+ vX_[723] = vX_[2549] * 3.146 + (0 - vX_[1997]) * 0.47422804 + vX_[963] * 0.0825825;
+ vX_[3450] = vX_[2408] * vX_[173] + vX_[2518] * vX_[172] + vX_[1997] * vX_[149] + vX_[963] * vX_[147];
+ vX_[396] = vX_[466] * vX_[131] + vX_[432] * vX_[129] + vX_[3406] * vX_[890] + vX_[723] * vX_[887] + vX_[3450] * x_in[31];
+ vX_[968] = 0 - vX_[1042] + vX_[968];
+ vX_[1042] = 0 - vX_[723];
+ vX_[2300] = vX_[2408] * vX_[171] + vX_[2518] * vX_[173] + vX_[1997] * vX_[155] + vX_[963] * vX_[154];
+ vX_[2339] = vX_[466] * vX_[911] + vX_[432] * vX_[131] + vX_[968] * vX_[890] + vX_[1042] * vX_[897] - vX_[2300] * x_in[31];
+ vX_[413] = vX_[2454] * -3.44;
+ vX_[379] = vX_[2445] * 0.1466472;
+ vX_[2831] = vX_[2185] * -0.5824264;
+ vX_[2197] = 0 - vX_[413] + vX_[379] - vX_[2831];
+ vX_[1149] = 0 - vX_[2499];
+ vX_[423] = vX_[2903] * vX_[225] + vX_[2454] * vX_[199] + vX_[2450] * vX_[196] + vX_[2083] * vX_[539] + vX_[2185] * vX_[489];
+ vX_[2857] = vX_[396] * vX_[903] + vX_[2339] * vX_[148] + vX_[2197] * vX_[813] + vX_[1149] * vX_[882] - vX_[423] * x_in[30];
+ vX_[1214] = vX_[1412] + vX_[1431] + vX_[1430] - vX_[2494] - vX_[1952];
+ vX_[1315] = 0 - vX_[1214];
+ vX_[3606] = vX_[3606] + vX_[1315] * vX_[198];
+ vX_[2490] = vX_[2490] + vX_[1214] * vX_[127];
+ vX_[3407] = 0 - vX_[3195];
+ vX_[707] = 0 - vX_[2567];
+ vX_[2165] = vX_[1445] + vX_[1441] + vX_[2303] + vX_[2284] - vX_[2306] - vX_[2575];
+ vX_[2493] = vX_[2165] - vX_[2493];
+ vX_[1113] = 0 - vX_[2254];
+ vX_[3449] = 0 - vX_[3608];
+ vX_[1216] = 0 - vX_[1952];
+ vX_[791] = vX_[1395] - vX_[1320];
+ vX_[2826] = vX_[1404] - vX_[1320];
+ vX_[3039] = vX_[1365] + vX_[1397];
+ vX_[2909] = vX_[1408] + vX_[1407];
+ vX_[2681] = vX_[1401] + vX_[1406];
+ vX_[1473] = 0 - vX_[2681];
+ vX_[2813] = vX_[791] * vX_[211] + vX_[3039] * vX_[209];
+ vX_[2201] = vX_[2826] * vX_[211];
+ vX_[3267] = vX_[791] * vX_[197] + vX_[3039] * vX_[211];
+ vX_[2116] = vX_[2826] * vX_[209];
+ vX_[3053] = vX_[3267] + vX_[2116];
+ vX_[2962] = vX_[1418] * -0.000881 + vX_[3311] * -0.000227999999999999;
+ vX_[3302] = vX_[1418] * 0.110125 + (0 - vX_[2764]) * 0.025713;
+ vX_[2156] = (0 - vX_[3274]) * -0.000881;
+ vX_[3007] = (0 - vX_[2366]) * 0.110125;
+ vX_[1235] = vX_[2156] + vX_[3007];
+ vX_[1235] = vX_[2003] * vX_[913] + vX_[985] * vX_[905] + vX_[2962] * vX_[907] + vX_[3302] * vX_[899] + vX_[1235] * vX_[902] + vX_[1235] * vX_[902];
+ vX_[985] = vX_[2549] * 0.0825825 + (0 - vX_[1055]) * -0.000102 + vX_[1997] * -0.007418 + vX_[963] * 0.002735;
+ vX_[2003] = vX_[2549] * 0.47422804 + vX_[1055] * 2.1e-05 + (0 - vX_[1997]) * 0.084376 + (0 - vX_[963]) * -0.007418;
+ vX_[3312] = (0 - vX_[2408]) * 0.0825825;
+ vX_[442] = (0 - vX_[2518]) * 0.47422804;
+ vX_[3127] = vX_[1997] * -0.000102;
+ vX_[409] = (0 - vX_[963]) * 2.1e-05;
+ vX_[424] = vX_[3312] + vX_[442] + vX_[3127] + vX_[409];
+ vX_[424] = vX_[1235] + vX_[466] * vX_[912] + vX_[432] * vX_[130] + vX_[3406] * vX_[904] + vX_[968] * vX_[895] + vX_[985] * vX_[897] + vX_[2003] * vX_[887] + vX_[424] * vX_[890] + vX_[424] * vX_[890];
+ vX_[968] = vX_[2454] * -0.5824264 + (0 - vX_[2445]) * 0.022734 + vX_[2083] * 3.6e-05 + vX_[2185] * -0.133138;
+ vX_[3406] = vX_[2454] * 0.1466472 + vX_[2445] * 0.009466 + (0 - vX_[2083]) * -5.1e-05 + vX_[2185] * 0.022734;
+ vX_[412] = (0 - vX_[2903]) * -0.5824264;
+ vX_[774] = (0 - vX_[2450]) * 0.1466472;
+ vX_[1057] = (0 - vX_[2445]) * 3.6e-05;
+ vX_[1108] = (0 - vX_[2185]) * -5.1e-05;
+ vX_[801] = vX_[412] + vX_[774] + vX_[1057] - vX_[1108];
+ vX_[759] = vX_[2903] * vX_[230] + vX_[2454] * vX_[489] + vX_[2450] * vX_[542] + vX_[2083] * vX_[541] + vX_[2185] * vX_[193];
+ vX_[801] = vX_[396] * vX_[886] + vX_[2339] * vX_[163] + vX_[424] * -1 + vX_[2094] * vX_[815] + vX_[1149] * vX_[894] + vX_[968] * vX_[813] + vX_[3406] * vX_[884] + vX_[801] * vX_[882] + vX_[801] * vX_[882] + vX_[759] * x_in[30];
+ vX_[2055] = vX_[3274] * 0.110125 + vX_[2366] * -0.000881 + vX_[2055] * 0.025941;
+ vX_[3311] = vX_[1418] * -0.000881 + vX_[3311] * 0.000468;
+ vX_[3007] = vX_[1504] * vX_[900] + vX_[986] * vX_[905] + vX_[2962] * vX_[902] + vX_[2055] * vX_[899] + vX_[3007] * vX_[907] + vX_[3007] * vX_[907] + vX_[3311] * x_in[32];
+ vX_[2764] = vX_[1418] * -0.110125 + vX_[2764] * 0.026409;
+ jac[1173] = vX_[2981] * vX_[909] + vX_[3235] * vX_[913] + vX_[2764] * vX_[938] + vX_[3311] * vX_[907] + vX_[1235];
+ vX_[2764] = vX_[596] * vX_[900] + vX_[2858] * vX_[913] + vX_[3302] * vX_[902] + vX_[2055] * vX_[907] + vX_[2156] * vX_[899] + vX_[2156] * vX_[899] - vX_[2764] * x_in[32];
+ vX_[2055] = vX_[2408] * 0.47422804 + vX_[2518] * 0.0825825 + vX_[1055] * 0.081641 + (0 - vX_[1997]) * 2.1e-05 + vX_[963] * -0.000102;
+ vX_[2156] = (0 - vX_[1055]) * -0.007418;
+ vX_[409] = vX_[442] + vX_[2156] - vX_[409];
+ vX_[442] = vX_[2549] * vX_[142] + vX_[2408] * vX_[154] + vX_[2518] * vX_[147] + vX_[1997] * vX_[188] + vX_[963] * vX_[184];
+ vX_[409] = vX_[990] * -0.35 + vX_[3007] * vX_[131] + vX_[2764] * vX_[129] + vX_[2708] * vX_[888] + vX_[1042] * vX_[895] + vX_[985] * vX_[890] + vX_[2055] * vX_[887] + vX_[409] * vX_[897] + vX_[409] * vX_[897] + vX_[442] * x_in[31];
+ vX_[2156] = vX_[3312] - vX_[2156] - vX_[3127];
+ vX_[3127] = vX_[2549] * vX_[151] + vX_[2408] * vX_[155] + vX_[2518] * vX_[149] + vX_[1997] * vX_[182] + vX_[963] * vX_[188];
+ jac[1137] = vX_[2300] * vX_[908] + vX_[3450] * vX_[904] + vX_[3127] * vX_[915] + vX_[442] * vX_[897] + vX_[424];
+ vX_[3127] = vX_[3007] * vX_[137] + vX_[2764] * vX_[131] + vX_[1012] * vX_[888] + vX_[723] * vX_[904] + vX_[2003] * vX_[890] + vX_[2055] * vX_[897] + vX_[2156] * vX_[887] + vX_[2156] * vX_[887] - vX_[3127] * x_in[31];
+ vX_[2831] = vX_[413] - vX_[379] + vX_[2831];
+ vX_[379] = vX_[2903] * 0.1466472 + vX_[2450] * -0.5824264 + vX_[2445] * -5.1e-05 + (0 - vX_[2083]) * -0.123672 + (0 - vX_[2185]) * 3.6e-05;
+ vX_[413] = vX_[2083] * 0.022734;
+ vX_[1057] = vX_[412] - vX_[1057] - vX_[413];
+ vX_[412] = vX_[2903] * vX_[167] + vX_[2454] * vX_[539] + vX_[2450] * vX_[490] + vX_[2083] * vX_[488] + vX_[2185] * vX_[541];
+ vX_[1057] = vX_[409] * vX_[157] + vX_[3127] * vX_[148] + vX_[2831] * vX_[815] + vX_[2499] * vX_[814] + vX_[379] * vX_[813] + vX_[3406] * vX_[882] + vX_[1057] * vX_[884] + vX_[1057] * vX_[884] - vX_[412] * x_in[30];
+ vX_[3406] = 0 - vX_[3606];
+ vX_[2499] = 0 - vX_[2490];
+ vX_[2165] = 0 - vX_[2165] + vX_[3353];
+ vX_[3353] = 0 - vX_[2914];
+ vX_[2681] = 0 - vX_[2681];
+ jac[453] = 0 - (0 - (vX_[1361] * vX_[941] + vX_[2649] * x_in[22]) + (vX_[1285] * vX_[941] + vX_[2133] * vX_[211] + vX_[2649] * x_in[20]) * 0.3735 - (vX_[1364] * vX_[944] + vX_[2857] * x_in[23]) + (vX_[1326] * vX_[944] + vX_[2857] * x_in[19]) * -0.3735 + (vX_[1305] * vX_[944] + (vX_[237] * vX_[492] + vX_[2914] * vX_[545] + vX_[1214] * vX_[224] + vX_[2323] * vX_[226] + vX_[3606] * vX_[196] + vX_[2490] * vX_[205] + vX_[3407] * vX_[208] + vX_[707] * vX_[225] + vX_[2493] * vX_[214] + vX_[1113] * vX_[490] + vX_[2914] * vX_[542] + vX_[3449] * vX_[167] + vX_[1216] * vX_[497]) * -1 + vX_[2857] * x_in[18]) * -0.207 - (vX_[1285] * vX_[946] + vX_[1326] * vX_[917] + vX_[791] * vX_[669] + vX_[2826] * vX_[667] + vX_[3039] * vX_[665] + vX_[2909] * vX_[648] + vX_[1473] * vX_[214] + vX_[2813] * vX_[351] + vX_[2201] * vX_[480] + vX_[3053] * vX_[196] + vX_[2612] * vX_[637] + vX_[2131] * vX_[605] + vX_[1004] * vX_[232] + vX_[2433] * vX_[222] + vX_[2303] * vX_[636] + vX_[2284] * vX_[602] + vX_[2577] * vX_[601] + vX_[2063] * vX_[603] + vX_[2758] * vX_[544] + vX_[3088] * vX_[604] + vX_[2272] * vX_[221] + vX_[974] * vX_[231] + vX_[2645] * vX_[551] + vX_[3562] * vX_[549] + vX_[2817] * vX_[547] + vX_[2338] * vX_[588] + vX_[2335] * vX_[589] + vX_[688] * vX_[498] + vX_[3390] * vX_[494] + vX_[2868] * vX_[546] + vX_[2133] * vX_[212] + vX_[801] * x_in[19] + vX_[1057] * x_in[20])) * vX_[3528] + (vX_[1364] * vX_[941] + vX_[1285] * vX_[917] + vX_[791] * vX_[665] + vX_[2909] * vX_[214] + vX_[3267] * vX_[480] + vX_[2813] * vX_[196] + vX_[2131] * vX_[602] + vX_[1004] * vX_[222] + vX_[2303] * vX_[637] + vX_[2577] * vX_[544] + vX_[2063] * vX_[604] + vX_[2272] * vX_[231] + vX_[2645] * vX_[547] + vX_[2338] * vX_[589] + vX_[3392] * vX_[494] + vX_[688] * vX_[546] + (vX_[2254] * vX_[543] + vX_[586] * vX_[176] + vX_[3608] * vX_[226] + vX_[1315] * vX_[200] + vX_[2494] * vX_[215] + vX_[3406] * vX_[199] + vX_[3229] * vX_[208] + vX_[2499] * vX_[196] + vX_[2200] * vX_[214] + vX_[2165] * vX_[225] + vX_[2254] * vX_[539] + vX_[3353] * vX_[489] + vX_[3608] * vX_[230] + vX_[2494] * vX_[486]) * 0.207 + vX_[2649] * x_in[23] + vX_[801] * x_in[20] + (vX_[1326] * vX_[941] + vX_[2133] * vX_[209] + vX_[2649] * x_in[19]) * 0.3735 + (vX_[1305] * vX_[941] + vX_[2649] * x_in[18]) * 0.207 - (vX_[1361] * vX_[944] + vX_[2857] * x_in[22]) + (vX_[1285] * vX_[944] + vX_[2857] * x_in[20]) * 0.3735 - (vX_[1326] * vX_[946] + vX_[2826] * vX_[666] + vX_[3039] * vX_[669] + vX_[2681] * vX_[648] + vX_[2201] * vX_[196] + vX_[2116] * vX_[351] + vX_[2612] * vX_[636] + vX_[2433] * vX_[232] + vX_[2284] * vX_[605] + vX_[2758] * vX_[601] + vX_[3088] * vX_[603] + vX_[974] * vX_[221] + vX_[3562] * vX_[548] + vX_[2817] * vX_[551] + vX_[2256] * vX_[588] + vX_[3390] * vX_[546] + vX_[3089] * vX_[498] + vX_[2133] * vX_[210] + vX_[1057] * x_in[19])) * vX_[989];
+ vX_[3039] = vX_[1451] * -1 + vX_[1433] * 0.207;
+ vX_[2826] = vX_[1496] * vX_[125] + vX_[1322] * vX_[893] + vX_[1433] * vX_[891] + vX_[1458] * vX_[892] + vX_[1038] * vX_[126];
+ vX_[791] = vX_[1433] * vX_[197] + vX_[1458] * vX_[211];
+ vX_[1315] = vX_[3039] * vX_[148] + vX_[2826] * vX_[903] + vX_[791] * vX_[886];
+ vX_[1214] = vX_[3039] * vX_[128] + vX_[2826] * vX_[148] + vX_[791] * vX_[163];
+ vX_[2133] = vX_[791] * -1;
+ vX_[586] = vX_[1315] * 1 / vX_[145];
+ vX_[2335] = vX_[1214] * 1 / vX_[145];
+ vX_[2758] = vX_[2133] * 1 / vX_[145];
+ vX_[2577] = vX_[1038] * -1;
+ vX_[237] = vX_[3039] * 1 / vX_[194];
+ vX_[2256] = vX_[1496] * vX_[197] + vX_[1322] * vX_[879] + vX_[1433] * vX_[212] + vX_[1458] * vX_[210] + vX_[1038] * vX_[880];
+ vX_[2338] = vX_[2256] * 1 / vX_[194];
+ vX_[3088] = vX_[2826] * 1 / vX_[194];
+ vX_[2284] = vX_[2577] * 1 / vX_[194];
+ vX_[2131] = vX_[791] * 1 / vX_[194];
+ vX_[2063] = vX_[1433] * vX_[211] + vX_[1458] * vX_[209];
+ vX_[2303] = vX_[2063] * 1 / vX_[194];
+ vX_[2577] = vX_[2577] - (vX_[237] * vX_[206] + vX_[2338] * vX_[168] + vX_[3088] * vX_[158] + vX_[2284] * vX_[194] + vX_[2131] * vX_[220] + vX_[2303] * vX_[229]);
+ vX_[2612] = vX_[2577] * vX_[148] + vX_[2063] * vX_[157];
+ vX_[2323] = vX_[2612] * 1 / vX_[145];
+ vX_[974] = vX_[2577] * vX_[128] + vX_[2063] * vX_[148];
+ vX_[1004] = vX_[974] * 1 / vX_[145];
+ vX_[2133] = vX_[2133] - (vX_[586] * vX_[152] + vX_[2335] * vX_[143] + vX_[2758] * vX_[145] + vX_[2323] * 2.1e-05 + vX_[1004] * -0.000102);
+ vX_[2272] = vX_[1315] * vX_[129] + vX_[1214] * vX_[131] + vX_[2133] * vX_[130];
+ vX_[2433] = vX_[1315] * vX_[131] + vX_[1214] * vX_[911] + vX_[2133] * vX_[912];
+ vX_[2868] = vX_[2133] - (vX_[2433] * 38.1956380581338 * 0.110125 + vX_[2272] * 38.1956380581338 * 0.000881 + vX_[2133] * 38.1956380581338 * 0.026181);
+ vX_[3089] = vX_[2272] * 0.881 + (0 - vX_[2868]) * -0.000881;
+ vX_[3392] = vX_[2433] * -0.881;
+ vX_[3390] = vX_[2868] * 0.110125;
+ vX_[3562] = vX_[3392] - vX_[3390];
+ vX_[688] = vX_[3089] * vX_[907] + vX_[3562] * vX_[899];
+ vX_[2817] = vX_[1214] * 3.146 + (0 - vX_[2133]) * 0.0825825;
+ vX_[2645] = vX_[1315] * -3.146;
+ vX_[2156] = vX_[2133] * 0.47422804;
+ vX_[2055] = vX_[2645] - vX_[2156];
+ vX_[2003] = vX_[688] + vX_[2817] * vX_[897] + vX_[2055] * vX_[887];
+ vX_[723] = vX_[2826] * 3.44 + vX_[791] * -0.5824264;
+ vX_[1012] = 0 - vX_[723];
+ vX_[442] = vX_[3039] * 3.44 + (0 - vX_[791]) * 0.1466472;
+ vX_[424] = vX_[3039] * vX_[214] + vX_[2256] * vX_[196] + vX_[2826] * vX_[205] + vX_[791] * vX_[490] + vX_[2063] * vX_[542];
+ vX_[2300] = vX_[2003] * -1 + vX_[1012] * vX_[813] + vX_[442] * vX_[884] + vX_[424] * x_in[30];
+ vX_[3450] = vX_[1543] - vX_[1561];
+ vX_[3312] = vX_[1463] + vX_[1526];
+ vX_[985] = vX_[3450] * vX_[211] + vX_[3312] * vX_[209];
+ vX_[1042] = vX_[1562] - vX_[1561];
+ vX_[2708] = vX_[1042] * vX_[211];
+ vX_[990] = vX_[3450] * vX_[197] + vX_[3312] * vX_[211];
+ vX_[3302] = vX_[1042] * vX_[209];
+ vX_[2858] = vX_[990] + vX_[3302];
+ vX_[596] = vX_[985] * vX_[197] + vX_[2708] * vX_[209] + vX_[2858] * vX_[211];
+ vX_[3311] = 0 - vX_[596];
+ vX_[1235] = vX_[1561] + vX_[990] * vX_[197] + vX_[2708] * vX_[211];
+ vX_[2981] = 0 - vX_[1235];
+ vX_[3235] = vX_[1561] + vX_[985] * vX_[211] + vX_[3302] * vX_[209];
+ vX_[1418] = vX_[1565] + vX_[1571];
+ vX_[2962] = vX_[1574] + vX_[1402] - vX_[1418];
+ vX_[986] = vX_[1554] + vX_[1570];
+ vX_[1504] = 0 - (vX_[1542] + vX_[1492]) + vX_[986];
+ vX_[3274] = (vX_[986] * vX_[197] + vX_[1418] * vX_[211]) * -1;
+ vX_[2366] = 0 - (vX_[2962] * vX_[211] + vX_[1504] * vX_[209]) + vX_[3274];
+ vX_[1149] = vX_[2366] + vX_[1235] * vX_[198];
+ vX_[1215] = 0 - vX_[1149];
+ vX_[3126] = (vX_[986] * vX_[211] + vX_[1418] * vX_[209]) * -1;
+ vX_[1126] = vX_[2962] * vX_[197] + vX_[1504] * vX_[211] + vX_[3126];
+ vX_[1834] = 0 - vX_[3235];
+ vX_[1072] = vX_[1126] + vX_[596] * vX_[198] + vX_[1834] * vX_[127];
+ vX_[1033] = vX_[1541] + vX_[1531];
+ vX_[1278] = vX_[1534] + vX_[1530];
+ vX_[3206] = vX_[1033] * vX_[209] + vX_[1278] * vX_[211];
+ vX_[784] = vX_[1552] + vX_[1422];
+ vX_[1461] = vX_[1563] + vX_[1529];
+ vX_[1323] = vX_[784] * vX_[211] + vX_[1461] * vX_[209];
+ vX_[624] = vX_[3206] * vX_[197] + vX_[1323] * vX_[211];
+ vX_[3408] = vX_[1459] + vX_[1551];
+ vX_[406] = vX_[1578] + vX_[1573];
+ vX_[493] = 0 - vX_[406];
+ vX_[1734] = vX_[3408] * vX_[211] + vX_[493] * vX_[209];
+ vX_[3458] = 0 - vX_[1734];
+ vX_[3447] = vX_[624] + vX_[3458] * vX_[127] + vX_[2981] * vX_[213];
+ vX_[1206] = 0 - vX_[3447];
+ vX_[3323] = vX_[1033] * vX_[211] + vX_[1278] * vX_[197];
+ vX_[3333] = vX_[784] * vX_[197] + vX_[1461] * vX_[211];
+ vX_[689] = vX_[3323] * vX_[211] + vX_[3333] * vX_[209];
+ vX_[406] = 0 - vX_[406];
+ vX_[743] = vX_[3408] * vX_[197] + vX_[406] * vX_[211];
+ vX_[3472] = 0 - vX_[743];
+ vX_[744] = vX_[689] + vX_[3472] * vX_[198] + vX_[3235] * vX_[213];
+ vX_[1380] = vX_[3323] * vX_[197] + vX_[3333] * vX_[211];
+ vX_[455] = vX_[1380] + vX_[1734] * vX_[198];
+ vX_[1111] = vX_[3206] * vX_[211] + vX_[1323] * vX_[209];
+ vX_[456] = vX_[1111] + vX_[743] * vX_[127] + vX_[3311] * vX_[213];
+ vX_[1054] = 0 - vX_[455] + vX_[456];
+ vX_[1246] = 0 - vX_[596];
+ vX_[790] = 0 - vX_[1235];
+ vX_[2981] = vX_[3311] * vX_[545] + vX_[2981] * vX_[492] + vX_[3235] * vX_[176] + vX_[1215] * vX_[214] + vX_[1072] * vX_[225] + vX_[1206] * vX_[205] + vX_[744] * vX_[199] + vX_[1054] * vX_[196] + vX_[596] * vX_[539] + vX_[1246] * vX_[542] + vX_[790] * vX_[491] + vX_[3235] * vX_[495];
+ vX_[3311] = 0 - vX_[3089];
+ vX_[1192] = vX_[2256] * -1 + vX_[2577] * -0.08;
+ vX_[1195] = vX_[1192] + vX_[2612] * -0.35;
+ vX_[1114] = vX_[2612] * vX_[131] + vX_[974] * vX_[137];
+ vX_[1330] = vX_[2612] * vX_[129] + vX_[974] * vX_[131];
+ vX_[1173] = vX_[1195] * 0.881 + (0 - vX_[1114]) * 0.110125 + vX_[1330] * -0.000881;
+ vX_[1452] = vX_[2433] * -0.00370574557885489 + vX_[2272] * 0.880970354035369;
+ vX_[599] = vX_[3311] * vX_[902] + vX_[1173] * vX_[899] + vX_[1452] * x_in[32];
+ vX_[3390] = 0 - vX_[3392] + vX_[3390];
+ vX_[3392] = 0 - vX_[1173];
+ vX_[1475] = vX_[2433] * 0.417781802643138 + vX_[2272] * -0.00370574557885489;
+ vX_[2012] = vX_[3390] * vX_[902] + vX_[3392] * vX_[907] - vX_[1475] * x_in[32];
+ vX_[1335] = 0 - vX_[2817];
+ vX_[1209] = vX_[1192] * 3.146 + (0 - vX_[2612]) * 0.47422804 + vX_[974] * 0.0825825;
+ vX_[1438] = vX_[1315] * vX_[173] + vX_[1214] * vX_[172] + vX_[2612] * vX_[149] + vX_[974] * vX_[147];
+ vX_[1030] = vX_[599] * vX_[131] + vX_[2012] * vX_[129] + vX_[1335] * vX_[890] + vX_[1209] * vX_[887] + vX_[1438] * x_in[31];
+ vX_[2156] = 0 - vX_[2645] + vX_[2156];
+ vX_[2645] = 0 - vX_[1209];
+ vX_[1479] = vX_[1315] * vX_[171] + vX_[1214] * vX_[173] + vX_[2612] * vX_[155] + vX_[974] * vX_[154];
+ vX_[1640] = vX_[599] * vX_[911] + vX_[2012] * vX_[131] + vX_[2156] * vX_[890] + vX_[2645] * vX_[897] - vX_[1479] * x_in[31];
+ vX_[1917] = vX_[2256] * -3.44;
+ vX_[779] = vX_[2577] * 0.1466472;
+ vX_[980] = vX_[2063] * -0.5824264;
+ vX_[1067] = 0 - vX_[1917] + vX_[779] - vX_[980];
+ vX_[1105] = 0 - vX_[442];
+ vX_[401] = vX_[3039] * vX_[225] + vX_[2256] * vX_[199] + vX_[2826] * vX_[196] + vX_[791] * vX_[539] + vX_[2063] * vX_[489];
+ vX_[1128] = vX_[1030] * vX_[903] + vX_[1640] * vX_[148] + vX_[1067] * vX_[813] + vX_[1105] * vX_[882] - vX_[401] * x_in[30];
+ vX_[767] = vX_[1543] + vX_[1562] + vX_[1561] - vX_[1235] - vX_[3235];
+ vX_[1598] = 0 - vX_[767];
+ vX_[3274] = vX_[3274] + vX_[1598] * vX_[198];
+ vX_[3126] = vX_[3126] + vX_[767] * vX_[127];
+ vX_[3270] = 0 - vX_[1072];
+ vX_[3272] = 0 - vX_[744];
+ vX_[1102] = vX_[1576] + vX_[1572] + vX_[1278] + vX_[1461] - vX_[1380] - vX_[1111];
+ vX_[456] = vX_[1102] - vX_[456];
+ vX_[1099] = 0 - vX_[1734];
+ vX_[1082] = 0 - vX_[596];
+ vX_[778] = 0 - vX_[3235];
+ vX_[1684] = vX_[1525] - vX_[1491];
+ vX_[1239] = vX_[1535] - vX_[1491];
+ vX_[1129] = vX_[1528] + vX_[1527];
+ vX_[1210] = vX_[1539] + vX_[1538];
+ vX_[1501] = vX_[1532] + vX_[1537];
+ vX_[1409] = 0 - vX_[1501];
+ vX_[1497] = vX_[1684] * vX_[211] + vX_[1129] * vX_[209];
+ vX_[1770] = vX_[1239] * vX_[211];
+ vX_[1580] = vX_[1684] * vX_[197] + vX_[1129] * vX_[211];
+ vX_[1613] = vX_[1239] * vX_[209];
+ vX_[1559] = vX_[1580] + vX_[1613];
+ vX_[1738] = vX_[1195] * -0.000881 + vX_[1330] * -0.000227999999999999;
+ vX_[1737] = vX_[1195] * 0.110125 + (0 - vX_[1114]) * 0.025713;
+ vX_[1156] = (0 - vX_[2433]) * -0.000881;
+ vX_[2064] = (0 - vX_[2272]) * 0.110125;
+ vX_[2461] = vX_[1156] + vX_[2064];
+ vX_[2461] = vX_[3311] * vX_[913] + vX_[3390] * vX_[905] + vX_[1738] * vX_[907] + vX_[1737] * vX_[899] + vX_[2461] * vX_[902] + vX_[2461] * vX_[902];
+ vX_[3390] = vX_[1192] * 0.0825825 + (0 - vX_[2133]) * -0.000102 + vX_[2612] * -0.007418 + vX_[974] * 0.002735;
+ vX_[3311] = vX_[1192] * 0.47422804 + vX_[2133] * 2.1e-05 + (0 - vX_[2612]) * 0.084376 + (0 - vX_[974]) * -0.007418;
+ vX_[1641] = (0 - vX_[1315]) * 0.0825825;
+ vX_[1735] = (0 - vX_[1214]) * 0.47422804;
+ vX_[2065] = vX_[2612] * -0.000102;
+ vX_[786] = (0 - vX_[974]) * 2.1e-05;
+ vX_[1874] = vX_[1641] + vX_[1735] + vX_[2065] + vX_[786];
+ vX_[1874] = vX_[2461] + vX_[599] * vX_[912] + vX_[2012] * vX_[130] + vX_[1335] * vX_[904] + vX_[2156] * vX_[895] + vX_[3390] * vX_[897] + vX_[3311] * vX_[887] + vX_[1874] * vX_[890] + vX_[1874] * vX_[890];
+ vX_[2156] = vX_[2256] * -0.5824264 + (0 - vX_[2577]) * 0.022734 + vX_[791] * 3.6e-05 + vX_[2063] * -0.133138;
+ vX_[1335] = vX_[2256] * 0.1466472 + vX_[2577] * 0.009466 + (0 - vX_[791]) * -5.1e-05 + vX_[2063] * 0.022734;
+ vX_[2085] = (0 - vX_[3039]) * -0.5824264;
+ vX_[2181] = (0 - vX_[2826]) * 0.1466472;
+ vX_[1252] = (0 - vX_[2577]) * 3.6e-05;
+ vX_[1286] = (0 - vX_[2063]) * -5.1e-05;
+ vX_[1232] = vX_[2085] + vX_[2181] + vX_[1252] - vX_[1286];
+ vX_[1287] = vX_[3039] * vX_[230] + vX_[2256] * vX_[489] + vX_[2826] * vX_[542] + vX_[791] * vX_[541] + vX_[2063] * vX_[193];
+ vX_[1232] = vX_[1030] * vX_[886] + vX_[1640] * vX_[163] + vX_[1874] * -1 + vX_[723] * vX_[815] + vX_[1105] * vX_[894] + vX_[2156] * vX_[813] + vX_[1335] * vX_[884] + vX_[1232] * vX_[882] + vX_[1232] * vX_[882] + vX_[1287] * x_in[30];
+ vX_[2868] = vX_[2433] * 0.110125 + vX_[2272] * -0.000881 + vX_[2868] * 0.025941;
+ vX_[1330] = vX_[1195] * -0.000881 + vX_[1330] * 0.000468;
+ vX_[2064] = vX_[3089] * vX_[900] + vX_[3392] * vX_[905] + vX_[1738] * vX_[902] + vX_[2868] * vX_[899] + vX_[2064] * vX_[907] + vX_[2064] * vX_[907] + vX_[1330] * x_in[32];
+ vX_[1114] = vX_[1195] * -0.110125 + vX_[1114] * 0.026409;
+ jac[1174] = vX_[1475] * vX_[909] + vX_[1452] * vX_[913] + vX_[1114] * vX_[938] + vX_[1330] * vX_[907] + vX_[2461];
+ vX_[1114] = vX_[3562] * vX_[900] + vX_[1173] * vX_[913] + vX_[1737] * vX_[902] + vX_[2868] * vX_[907] + vX_[1156] * vX_[899] + vX_[1156] * vX_[899] - vX_[1114] * x_in[32];
+ vX_[2868] = vX_[1315] * 0.47422804 + vX_[1214] * 0.0825825 + vX_[2133] * 0.081641 + (0 - vX_[2612]) * 2.1e-05 + vX_[974] * -0.000102;
+ vX_[1156] = (0 - vX_[2133]) * -0.007418;
+ vX_[786] = vX_[1735] + vX_[1156] - vX_[786];
+ vX_[1735] = vX_[1192] * vX_[142] + vX_[1315] * vX_[154] + vX_[1214] * vX_[147] + vX_[2612] * vX_[188] + vX_[974] * vX_[184];
+ vX_[786] = vX_[688] * -0.35 + vX_[2064] * vX_[131] + vX_[1114] * vX_[129] + vX_[2817] * vX_[888] + vX_[2645] * vX_[895] + vX_[3390] * vX_[890] + vX_[2868] * vX_[887] + vX_[786] * vX_[897] + vX_[786] * vX_[897] + vX_[1735] * x_in[31];
+ vX_[1156] = vX_[1641] - vX_[1156] - vX_[2065];
+ vX_[2065] = vX_[1192] * vX_[151] + vX_[1315] * vX_[155] + vX_[1214] * vX_[149] + vX_[2612] * vX_[182] + vX_[974] * vX_[188];
+ jac[1138] = vX_[1479] * vX_[908] + vX_[1438] * vX_[904] + vX_[2065] * vX_[915] + vX_[1735] * vX_[897] + vX_[1874];
+ vX_[2065] = vX_[2064] * vX_[137] + vX_[1114] * vX_[131] + vX_[2055] * vX_[888] + vX_[1209] * vX_[904] + vX_[3311] * vX_[890] + vX_[2868] * vX_[897] + vX_[1156] * vX_[887] + vX_[1156] * vX_[887] - vX_[2065] * x_in[31];
+ vX_[980] = vX_[1917] - vX_[779] + vX_[980];
+ vX_[779] = vX_[3039] * 0.1466472 + vX_[2826] * -0.5824264 + vX_[2577] * -5.1e-05 + (0 - vX_[791]) * -0.123672 + (0 - vX_[2063]) * 3.6e-05;
+ vX_[1917] = vX_[791] * 0.022734;
+ vX_[1252] = vX_[2085] - vX_[1252] - vX_[1917];
+ vX_[2085] = vX_[3039] * vX_[167] + vX_[2256] * vX_[539] + vX_[2826] * vX_[490] + vX_[791] * vX_[488] + vX_[2063] * vX_[541];
+ vX_[1252] = vX_[786] * vX_[157] + vX_[2065] * vX_[148] + vX_[980] * vX_[815] + vX_[442] * vX_[814] + vX_[779] * vX_[813] + vX_[1335] * vX_[882] + vX_[1252] * vX_[884] + vX_[1252] * vX_[884] - vX_[2085] * x_in[30];
+ vX_[1335] = 0 - vX_[3274];
+ vX_[442] = 0 - vX_[3126];
+ vX_[1102] = 0 - vX_[1102] + vX_[455];
+ vX_[455] = 0 - vX_[743];
+ vX_[1501] = 0 - vX_[1501];
+ jac[454] = 0 - (0 - (vX_[1322] * vX_[941] + vX_[2300] * x_in[22]) + (vX_[1433] * vX_[941] + vX_[2981] * vX_[211] + vX_[2300] * x_in[20]) * 0.3735 - (vX_[1496] * vX_[944] + vX_[1128] * x_in[23]) + (vX_[1458] * vX_[944] + vX_[1128] * x_in[19]) * -0.3735 + (vX_[1038] * vX_[944] + (vX_[3458] * vX_[492] + vX_[743] * vX_[545] + vX_[767] * vX_[224] + vX_[1834] * vX_[226] + vX_[3274] * vX_[196] + vX_[3126] * vX_[205] + vX_[3270] * vX_[208] + vX_[3272] * vX_[225] + vX_[456] * vX_[214] + vX_[1099] * vX_[490] + vX_[743] * vX_[542] + vX_[1082] * vX_[167] + vX_[778] * vX_[497]) * -1 + vX_[1128] * x_in[18]) * -0.207 - (vX_[1433] * vX_[946] + vX_[1458] * vX_[917] + vX_[1684] * vX_[669] + vX_[1239] * vX_[667] + vX_[1129] * vX_[665] + vX_[1210] * vX_[648] + vX_[1409] * vX_[214] + vX_[1497] * vX_[351] + vX_[1770] * vX_[480] + vX_[1559] * vX_[196] + vX_[1033] * vX_[637] + vX_[784] * vX_[605] + vX_[986] * vX_[232] + vX_[1418] * vX_[222] + vX_[1278] * vX_[636] + vX_[1461] * vX_[602] + vX_[3323] * vX_[601] + vX_[3206] * vX_[603] + vX_[3333] * vX_[544] + vX_[1323] * vX_[604] + vX_[2962] * vX_[221] + vX_[1504] * vX_[231] + vX_[3450] * vX_[551] + vX_[1042] * vX_[549] + vX_[3312] * vX_[547] + vX_[3408] * vX_[588] + vX_[406] * vX_[589] + vX_[985] * vX_[498] + vX_[2708] * vX_[494] + vX_[2858] * vX_[546] + vX_[2981] * vX_[212] + vX_[1232] * x_in[19] + vX_[1252] * x_in[20])) * vX_[3528] + (vX_[1496] * vX_[941] + vX_[1433] * vX_[917] + vX_[1684] * vX_[665] + vX_[1210] * vX_[214] + vX_[1580] * vX_[480] + vX_[1497] * vX_[196] + vX_[784] * vX_[602] + vX_[986] * vX_[222] + vX_[1278] * vX_[637] + vX_[3323] * vX_[544] + vX_[3206] * vX_[604] + vX_[2962] * vX_[231] + vX_[3450] * vX_[547] + vX_[3408] * vX_[589] + vX_[990] * vX_[494] + vX_[985] * vX_[546] + (vX_[1734] * vX_[543] + vX_[3472] * vX_[176] + vX_[596] * vX_[226] + vX_[1598] * vX_[200] + vX_[1235] * vX_[215] + vX_[1335] * vX_[199] + vX_[1149] * vX_[208] + vX_[442] * vX_[196] + vX_[3447] * vX_[214] + vX_[1102] * vX_[225] + vX_[1734] * vX_[539] + vX_[455] * vX_[489] + vX_[596] * vX_[230] + vX_[1235] * vX_[486]) * 0.207 + vX_[2300] * x_in[23] + vX_[1232] * x_in[20] + (vX_[1458] * vX_[941] + vX_[2981] * vX_[209] + vX_[2300] * x_in[19]) * 0.3735 + (vX_[1038] * vX_[941] + vX_[2300] * x_in[18]) * 0.207 - (vX_[1322] * vX_[944] + vX_[1128] * x_in[22]) + (vX_[1433] * vX_[944] + vX_[1128] * x_in[20]) * 0.3735 - (vX_[1458] * vX_[946] + vX_[1239] * vX_[666] + vX_[1129] * vX_[669] + vX_[1501] * vX_[648] + vX_[1770] * vX_[196] + vX_[1613] * vX_[351] + vX_[1033] * vX_[636] + vX_[1418] * vX_[232] + vX_[1461] * vX_[605] + vX_[3333] * vX_[601] + vX_[1323] * vX_[603] + vX_[1504] * vX_[221] + vX_[1042] * vX_[548] + vX_[3312] * vX_[551] + vX_[493] * vX_[588] + vX_[2708] * vX_[546] + vX_[3302] * vX_[498] + vX_[2981] * vX_[210] + vX_[1252] * x_in[19])) * vX_[989];
+ vX_[1129] = vX_[1582] * -1 + vX_[1564] * 0.207;
+ vX_[1239] = vX_[1627] * vX_[125] + vX_[1455] * vX_[893] + vX_[1564] * vX_[891] + vX_[1589] * vX_[892] + vX_[1495] * vX_[126];
+ vX_[1684] = vX_[1564] * vX_[197] + vX_[1589] * vX_[211];
+ vX_[1598] = vX_[1129] * vX_[148] + vX_[1239] * vX_[903] + vX_[1684] * vX_[886];
+ vX_[767] = vX_[1129] * vX_[128] + vX_[1239] * vX_[148] + vX_[1684] * vX_[163];
+ vX_[2981] = vX_[1684] * -1;
+ vX_[3472] = vX_[1598] * 1 / vX_[145];
+ vX_[406] = vX_[767] * 1 / vX_[145];
+ vX_[3333] = vX_[2981] * 1 / vX_[145];
+ vX_[3323] = vX_[1495] * -1;
+ vX_[3458] = vX_[1129] * 1 / vX_[194];
+ vX_[493] = vX_[1627] * vX_[197] + vX_[1455] * vX_[879] + vX_[1564] * vX_[212] + vX_[1589] * vX_[210] + vX_[1495] * vX_[880];
+ vX_[3408] = vX_[493] * 1 / vX_[194];
+ vX_[1323] = vX_[1239] * 1 / vX_[194];
+ vX_[1461] = vX_[3323] * 1 / vX_[194];
+ vX_[784] = vX_[1684] * 1 / vX_[194];
+ vX_[3206] = vX_[1564] * vX_[211] + vX_[1589] * vX_[209];
+ vX_[1278] = vX_[3206] * 1 / vX_[194];
+ vX_[3323] = vX_[3323] - (vX_[3458] * vX_[206] + vX_[3408] * vX_[168] + vX_[1323] * vX_[158] + vX_[1461] * vX_[194] + vX_[784] * vX_[220] + vX_[1278] * vX_[229]);
+ vX_[1033] = vX_[3323] * vX_[148] + vX_[3206] * vX_[157];
+ vX_[1834] = vX_[1033] * 1 / vX_[145];
+ vX_[1504] = vX_[3323] * vX_[128] + vX_[3206] * vX_[148];
+ vX_[986] = vX_[1504] * 1 / vX_[145];
+ vX_[2981] = vX_[2981] - (vX_[3472] * vX_[152] + vX_[406] * vX_[143] + vX_[3333] * vX_[145] + vX_[1834] * 2.1e-05 + vX_[986] * -0.000102);
+ vX_[2962] = vX_[1598] * vX_[129] + vX_[767] * vX_[131] + vX_[2981] * vX_[130];
+ vX_[1418] = vX_[1598] * vX_[131] + vX_[767] * vX_[911] + vX_[2981] * vX_[912];
+ vX_[2858] = vX_[2981] - (vX_[1418] * 38.1956380581338 * 0.110125 + vX_[2962] * 38.1956380581338 * 0.000881 + vX_[2981] * 38.1956380581338 * 0.026181);
+ vX_[3302] = vX_[2962] * 0.881 + (0 - vX_[2858]) * -0.000881;
+ vX_[990] = vX_[1418] * -0.881;
+ vX_[2708] = vX_[2858] * 0.110125;
+ vX_[1042] = vX_[990] - vX_[2708];
+ vX_[985] = vX_[3302] * vX_[907] + vX_[1042] * vX_[899];
+ vX_[3312] = vX_[767] * 3.146 + (0 - vX_[2981]) * 0.0825825;
+ vX_[3450] = vX_[1598] * -3.146;
+ vX_[1156] = vX_[2981] * 0.47422804;
+ vX_[2868] = vX_[3450] - vX_[1156];
+ vX_[3311] = vX_[985] + vX_[3312] * vX_[897] + vX_[2868] * vX_[887];
+ vX_[1209] = vX_[1239] * 3.44 + vX_[1684] * -0.5824264;
+ vX_[2055] = 0 - vX_[1209];
+ vX_[1735] = vX_[1129] * 3.44 + (0 - vX_[1684]) * 0.1466472;
+ vX_[1874] = vX_[1129] * vX_[214] + vX_[493] * vX_[196] + vX_[1239] * vX_[205] + vX_[1684] * vX_[490] + vX_[3206] * vX_[542];
+ vX_[1479] = vX_[3311] * -1 + vX_[2055] * vX_[813] + vX_[1735] * vX_[884] + vX_[1874] * x_in[30];
+ vX_[1438] = vX_[1674] - vX_[1692];
+ vX_[1641] = vX_[1594] + vX_[1657];
+ vX_[3390] = vX_[1438] * vX_[211] + vX_[1641] * vX_[209];
+ vX_[2645] = vX_[1693] - vX_[1692];
+ vX_[2817] = vX_[2645] * vX_[211];
+ vX_[688] = vX_[1438] * vX_[197] + vX_[1641] * vX_[211];
+ vX_[1737] = vX_[2645] * vX_[209];
+ vX_[1173] = vX_[688] + vX_[1737];
+ vX_[3562] = vX_[3390] * vX_[197] + vX_[2817] * vX_[209] + vX_[1173] * vX_[211];
+ vX_[1330] = 0 - vX_[3562];
+ vX_[2461] = vX_[1692] + vX_[688] * vX_[197] + vX_[2817] * vX_[211];
+ vX_[1475] = 0 - vX_[2461];
+ vX_[1452] = vX_[1692] + vX_[3390] * vX_[211] + vX_[1737] * vX_[209];
+ vX_[1195] = vX_[1696] + vX_[1702];
+ vX_[1738] = vX_[1705] + vX_[1533] - vX_[1195];
+ vX_[3392] = vX_[1685] + vX_[1701];
+ vX_[3089] = 0 - (vX_[1673] + vX_[1623]) + vX_[3392];
+ vX_[2433] = (vX_[3392] * vX_[197] + vX_[1195] * vX_[211]) * -1;
+ vX_[2272] = 0 - (vX_[1738] * vX_[211] + vX_[3089] * vX_[209]) + vX_[2433];
+ vX_[1105] = vX_[2272] + vX_[2461] * vX_[198];
+ vX_[2089] = 0 - vX_[1105];
+ vX_[1628] = (vX_[3392] * vX_[211] + vX_[1195] * vX_[209]) * -1;
+ vX_[1249] = vX_[1738] * vX_[197] + vX_[3089] * vX_[211] + vX_[1628];
+ vX_[1870] = 0 - vX_[1452];
+ vX_[769] = vX_[1249] + vX_[3562] * vX_[198] + vX_[1870] * vX_[127];
+ vX_[1342] = vX_[1672] + vX_[1662];
+ vX_[1220] = vX_[1665] + vX_[1661];
+ vX_[1608] = vX_[1342] * vX_[209] + vX_[1220] * vX_[211];
+ vX_[1321] = vX_[1683] + vX_[1553];
+ vX_[792] = vX_[1694] + vX_[1660];
+ vX_[662] = vX_[1321] * vX_[211] + vX_[792] * vX_[209];
+ vX_[1329] = vX_[1608] * vX_[197] + vX_[662] * vX_[211];
+ vX_[1912] = vX_[1590] + vX_[1682];
+ vX_[1417] = vX_[1709] + vX_[1704];
+ vX_[1771] = 0 - vX_[1417];
+ vX_[1736] = vX_[1912] * vX_[211] + vX_[1771] * vX_[209];
+ vX_[1378] = 0 - vX_[1736];
+ vX_[2019] = vX_[1329] + vX_[1378] * vX_[127] + vX_[1475] * vX_[213];
+ vX_[2009] = 0 - vX_[2019];
+ vX_[2060] = vX_[1342] * vX_[211] + vX_[1220] * vX_[197];
+ vX_[1862] = vX_[1321] * vX_[197] + vX_[792] * vX_[211];
+ vX_[1881] = vX_[2060] * vX_[211] + vX_[1862] * vX_[209];
+ vX_[1417] = 0 - vX_[1417];
+ vX_[2062] = vX_[1912] * vX_[197] + vX_[1417] * vX_[211];
+ vX_[1514] = 0 - vX_[2062];
+ vX_[2468] = vX_[1881] + vX_[1514] * vX_[198] + vX_[1452] * vX_[213];
+ vX_[2821] = vX_[2060] * vX_[197] + vX_[1862] * vX_[211];
+ vX_[2054] = vX_[2821] + vX_[1736] * vX_[198];
+ vX_[1930] = vX_[1608] * vX_[211] + vX_[662] * vX_[209];
+ vX_[2310] = vX_[1930] + vX_[2062] * vX_[127] + vX_[1330] * vX_[213];
+ vX_[1449] = 0 - vX_[2054] + vX_[2310];
+ vX_[1605] = 0 - vX_[3562];
+ vX_[2370] = 0 - vX_[2461];
+ vX_[1475] = vX_[1330] * vX_[545] + vX_[1475] * vX_[492] + vX_[1452] * vX_[176] + vX_[2089] * vX_[214] + vX_[769] * vX_[225] + vX_[2009] * vX_[205] + vX_[2468] * vX_[199] + vX_[1449] * vX_[196] + vX_[3562] * vX_[539] + vX_[1605] * vX_[542] + vX_[2370] * vX_[491] + vX_[1452] * vX_[495];
+ vX_[1330] = 0 - vX_[3302];
+ vX_[2371] = vX_[493] * -1 + vX_[3323] * -0.08;
+ vX_[1599] = vX_[2371] + vX_[1033] * -0.35;
+ vX_[1689] = vX_[1033] * vX_[131] + vX_[1504] * vX_[137];
+ vX_[1739] = vX_[1033] * vX_[129] + vX_[1504] * vX_[131];
+ vX_[1584] = vX_[1599] * 0.881 + (0 - vX_[1689]) * 0.110125 + vX_[1739] * -0.000881;
+ vX_[2767] = vX_[1418] * -0.00370574557885489 + vX_[2962] * 0.880970354035369;
+ vX_[789] = vX_[1330] * vX_[902] + vX_[1584] * vX_[899] + vX_[2767] * x_in[32];
+ vX_[2708] = 0 - vX_[990] + vX_[2708];
+ vX_[990] = 0 - vX_[1584];
+ vX_[1454] = vX_[1418] * 0.417781802643138 + vX_[2962] * -0.00370574557885489;
+ vX_[2157] = vX_[2708] * vX_[902] + vX_[990] * vX_[907] - vX_[1454] * x_in[32];
+ vX_[1634] = 0 - vX_[3312];
+ vX_[1603] = vX_[2371] * 3.146 + (0 - vX_[1033]) * 0.47422804 + vX_[1504] * 0.0825825;
+ vX_[1740] = vX_[1598] * vX_[173] + vX_[767] * vX_[172] + vX_[1033] * vX_[149] + vX_[1504] * vX_[147];
+ vX_[1858] = vX_[789] * vX_[131] + vX_[2157] * vX_[129] + vX_[1634] * vX_[890] + vX_[1603] * vX_[887] + vX_[1740] * x_in[31];
+ vX_[1156] = 0 - vX_[3450] + vX_[1156];
+ vX_[3450] = 0 - vX_[1603];
+ vX_[1560] = vX_[1598] * vX_[171] + vX_[767] * vX_[173] + vX_[1033] * vX_[155] + vX_[1504] * vX_[154];
+ vX_[1765] = vX_[789] * vX_[911] + vX_[2157] * vX_[131] + vX_[1156] * vX_[890] + vX_[3450] * vX_[897] - vX_[1560] * x_in[31];
+ vX_[2447] = vX_[493] * -3.44;
+ vX_[787] = vX_[3323] * 0.1466472;
+ vX_[2213] = vX_[3206] * -0.5824264;
+ vX_[1873] = 0 - vX_[2447] + vX_[787] - vX_[2213];
+ vX_[2013] = 0 - vX_[1735];
+ vX_[1947] = vX_[1129] * vX_[225] + vX_[493] * vX_[199] + vX_[1239] * vX_[196] + vX_[1684] * vX_[539] + vX_[3206] * vX_[489];
+ vX_[2052] = vX_[1858] * vX_[903] + vX_[1765] * vX_[148] + vX_[1873] * vX_[813] + vX_[2013] * vX_[882] - vX_[1947] * x_in[30];
+ vX_[2092] = vX_[1674] + vX_[1693] + vX_[1692] - vX_[2461] - vX_[1452];
+ vX_[1757] = 0 - vX_[2092];
+ vX_[2433] = vX_[2433] + vX_[1757] * vX_[198];
+ vX_[1628] = vX_[1628] + vX_[2092] * vX_[127];
+ vX_[2216] = 0 - vX_[769];
+ vX_[2180] = 0 - vX_[2468];
+ vX_[2274] = vX_[1707] + vX_[1703] + vX_[1220] + vX_[792] - vX_[2821] - vX_[1930];
+ vX_[2310] = vX_[2274] - vX_[2310];
+ vX_[2498] = 0 - vX_[1736];
+ vX_[1611] = 0 - vX_[3562];
+ vX_[2761] = 0 - vX_[1452];
+ vX_[3228] = vX_[1656] - vX_[1622];
+ vX_[2305] = vX_[1666] - vX_[1622];
+ vX_[2340] = vX_[1659] + vX_[1658];
+ vX_[2613] = vX_[1670] + vX_[1669];
+ vX_[1716] = vX_[1663] + vX_[1668];
+ vX_[2623] = 0 - vX_[1716];
+ vX_[2601] = vX_[3228] * vX_[211] + vX_[2340] * vX_[209];
+ vX_[2757] = vX_[2305] * vX_[211];
+ vX_[1937] = vX_[3228] * vX_[197] + vX_[2340] * vX_[211];
+ vX_[1973] = vX_[2305] * vX_[209];
+ vX_[1936] = vX_[1937] + vX_[1973];
+ vX_[1931] = vX_[1599] * -0.000881 + vX_[1739] * -0.000227999999999999;
+ vX_[3050] = vX_[1599] * 0.110125 + (0 - vX_[1689]) * 0.025713;
+ vX_[2048] = (0 - vX_[1418]) * -0.000881;
+ vX_[1795] = (0 - vX_[2962]) * 0.110125;
+ vX_[2516] = vX_[2048] + vX_[1795];
+ vX_[2516] = vX_[1330] * vX_[913] + vX_[2708] * vX_[905] + vX_[1931] * vX_[907] + vX_[3050] * vX_[899] + vX_[2516] * vX_[902] + vX_[2516] * vX_[902];
+ vX_[2708] = vX_[2371] * 0.0825825 + (0 - vX_[2981]) * -0.000102 + vX_[1033] * -0.007418 + vX_[1504] * 0.002735;
+ vX_[1330] = vX_[2371] * 0.47422804 + vX_[2981] * 2.1e-05 + (0 - vX_[1033]) * 0.084376 + (0 - vX_[1504]) * -0.007418;
+ vX_[783] = (0 - vX_[1598]) * 0.0825825;
+ vX_[1786] = (0 - vX_[767]) * 0.47422804;
+ vX_[2023] = vX_[1033] * -0.000102;
+ vX_[2010] = (0 - vX_[1504]) * 2.1e-05;
+ vX_[2034] = vX_[783] + vX_[1786] + vX_[2023] + vX_[2010];
+ vX_[2034] = vX_[2516] + vX_[789] * vX_[912] + vX_[2157] * vX_[130] + vX_[1634] * vX_[904] + vX_[1156] * vX_[895] + vX_[2708] * vX_[897] + vX_[1330] * vX_[887] + vX_[2034] * vX_[890] + vX_[2034] * vX_[890];
+ vX_[1156] = vX_[493] * -0.5824264 + (0 - vX_[3323]) * 0.022734 + vX_[1684] * 3.6e-05 + vX_[3206] * -0.133138;
+ vX_[1634] = vX_[493] * 0.1466472 + vX_[3323] * 0.009466 + (0 - vX_[1684]) * -5.1e-05 + vX_[3206] * 0.022734;
+ vX_[2024] = (0 - vX_[1129]) * -0.5824264;
+ vX_[2674] = (0 - vX_[1239]) * 0.1466472;
+ vX_[1753] = (0 - vX_[3323]) * 3.6e-05;
+ vX_[2496] = (0 - vX_[3206]) * -5.1e-05;
+ vX_[2031] = vX_[2024] + vX_[2674] + vX_[1753] - vX_[2496];
+ vX_[2503] = vX_[1129] * vX_[230] + vX_[493] * vX_[489] + vX_[1239] * vX_[542] + vX_[1684] * vX_[541] + vX_[3206] * vX_[193];
+ vX_[2031] = vX_[1858] * vX_[886] + vX_[1765] * vX_[163] + vX_[2034] * -1 + vX_[1209] * vX_[815] + vX_[2013] * vX_[894] + vX_[1156] * vX_[813] + vX_[1634] * vX_[884] + vX_[2031] * vX_[882] + vX_[2031] * vX_[882] + vX_[2503] * x_in[30];
+ vX_[2858] = vX_[1418] * 0.110125 + vX_[2962] * -0.000881 + vX_[2858] * 0.025941;
+ vX_[1739] = vX_[1599] * -0.000881 + vX_[1739] * 0.000468;
+ vX_[1795] = vX_[3302] * vX_[900] + vX_[990] * vX_[905] + vX_[1931] * vX_[902] + vX_[2858] * vX_[899] + vX_[1795] * vX_[907] + vX_[1795] * vX_[907] + vX_[1739] * x_in[32];
+ vX_[1689] = vX_[1599] * -0.110125 + vX_[1689] * 0.026409;
+ jac[1175] = vX_[1454] * vX_[909] + vX_[2767] * vX_[913] + vX_[1689] * vX_[938] + vX_[1739] * vX_[907] + vX_[2516];
+ vX_[1689] = vX_[1042] * vX_[900] + vX_[1584] * vX_[913] + vX_[3050] * vX_[902] + vX_[2858] * vX_[907] + vX_[2048] * vX_[899] + vX_[2048] * vX_[899] - vX_[1689] * x_in[32];
+ vX_[2858] = vX_[1598] * 0.47422804 + vX_[767] * 0.0825825 + vX_[2981] * 0.081641 + (0 - vX_[1033]) * 2.1e-05 + vX_[1504] * -0.000102;
+ vX_[2048] = (0 - vX_[2981]) * -0.007418;
+ vX_[2010] = vX_[1786] + vX_[2048] - vX_[2010];
+ vX_[1786] = vX_[2371] * vX_[142] + vX_[1598] * vX_[154] + vX_[767] * vX_[147] + vX_[1033] * vX_[188] + vX_[1504] * vX_[184];
+ vX_[2010] = vX_[985] * -0.35 + vX_[1795] * vX_[131] + vX_[1689] * vX_[129] + vX_[3312] * vX_[888] + vX_[3450] * vX_[895] + vX_[2708] * vX_[890] + vX_[2858] * vX_[887] + vX_[2010] * vX_[897] + vX_[2010] * vX_[897] + vX_[1786] * x_in[31];
+ vX_[2048] = vX_[783] - vX_[2048] - vX_[2023];
+ vX_[2023] = vX_[2371] * vX_[151] + vX_[1598] * vX_[155] + vX_[767] * vX_[149] + vX_[1033] * vX_[182] + vX_[1504] * vX_[188];
+ jac[1139] = vX_[1560] * vX_[908] + vX_[1740] * vX_[904] + vX_[2023] * vX_[915] + vX_[1786] * vX_[897] + vX_[2034];
+ vX_[2023] = vX_[1795] * vX_[137] + vX_[1689] * vX_[131] + vX_[2868] * vX_[888] + vX_[1603] * vX_[904] + vX_[1330] * vX_[890] + vX_[2858] * vX_[897] + vX_[2048] * vX_[887] + vX_[2048] * vX_[887] - vX_[2023] * x_in[31];
+ vX_[2213] = vX_[2447] - vX_[787] + vX_[2213];
+ vX_[787] = vX_[1129] * 0.1466472 + vX_[1239] * -0.5824264 + vX_[3323] * -5.1e-05 + (0 - vX_[1684]) * -0.123672 + (0 - vX_[3206]) * 3.6e-05;
+ vX_[2447] = vX_[1684] * 0.022734;
+ vX_[1753] = vX_[2024] - vX_[1753] - vX_[2447];
+ vX_[2024] = vX_[1129] * vX_[167] + vX_[493] * vX_[539] + vX_[1239] * vX_[490] + vX_[1684] * vX_[488] + vX_[3206] * vX_[541];
+ vX_[1753] = vX_[2010] * vX_[157] + vX_[2023] * vX_[148] + vX_[2213] * vX_[815] + vX_[1735] * vX_[814] + vX_[787] * vX_[813] + vX_[1634] * vX_[882] + vX_[1753] * vX_[884] + vX_[1753] * vX_[884] - vX_[2024] * x_in[30];
+ vX_[1634] = 0 - vX_[2433];
+ vX_[1735] = 0 - vX_[1628];
+ vX_[2274] = 0 - vX_[2274] + vX_[2054];
+ vX_[2054] = 0 - vX_[2062];
+ vX_[1716] = 0 - vX_[1716];
+ jac[455] = 0 - (0 - (vX_[1455] * vX_[941] + vX_[1479] * x_in[22]) + (vX_[1564] * vX_[941] + vX_[1475] * vX_[211] + vX_[1479] * x_in[20]) * 0.3735 - (vX_[1627] * vX_[944] + vX_[2052] * x_in[23]) + (vX_[1589] * vX_[944] + vX_[2052] * x_in[19]) * -0.3735 + (vX_[1495] * vX_[944] + (vX_[1378] * vX_[492] + vX_[2062] * vX_[545] + vX_[2092] * vX_[224] + vX_[1870] * vX_[226] + vX_[2433] * vX_[196] + vX_[1628] * vX_[205] + vX_[2216] * vX_[208] + vX_[2180] * vX_[225] + vX_[2310] * vX_[214] + vX_[2498] * vX_[490] + vX_[2062] * vX_[542] + vX_[1611] * vX_[167] + vX_[2761] * vX_[497]) * -1 + vX_[2052] * x_in[18]) * -0.207 - (vX_[1564] * vX_[946] + vX_[1589] * vX_[917] + vX_[3228] * vX_[669] + vX_[2305] * vX_[667] + vX_[2340] * vX_[665] + vX_[2613] * vX_[648] + vX_[2623] * vX_[214] + vX_[2601] * vX_[351] + vX_[2757] * vX_[480] + vX_[1936] * vX_[196] + vX_[1342] * vX_[637] + vX_[1321] * vX_[605] + vX_[3392] * vX_[232] + vX_[1195] * vX_[222] + vX_[1220] * vX_[636] + vX_[792] * vX_[602] + vX_[2060] * vX_[601] + vX_[1608] * vX_[603] + vX_[1862] * vX_[544] + vX_[662] * vX_[604] + vX_[1738] * vX_[221] + vX_[3089] * vX_[231] + vX_[1438] * vX_[551] + vX_[2645] * vX_[549] + vX_[1641] * vX_[547] + vX_[1912] * vX_[588] + vX_[1417] * vX_[589] + vX_[3390] * vX_[498] + vX_[2817] * vX_[494] + vX_[1173] * vX_[546] + vX_[1475] * vX_[212] + vX_[2031] * x_in[19] + vX_[1753] * x_in[20])) * vX_[3528] + (vX_[1627] * vX_[941] + vX_[1564] * vX_[917] + vX_[3228] * vX_[665] + vX_[2613] * vX_[214] + vX_[1937] * vX_[480] + vX_[2601] * vX_[196] + vX_[1321] * vX_[602] + vX_[3392] * vX_[222] + vX_[1220] * vX_[637] + vX_[2060] * vX_[544] + vX_[1608] * vX_[604] + vX_[1738] * vX_[231] + vX_[1438] * vX_[547] + vX_[1912] * vX_[589] + vX_[688] * vX_[494] + vX_[3390] * vX_[546] + (vX_[1736] * vX_[543] + vX_[1514] * vX_[176] + vX_[3562] * vX_[226] + vX_[1757] * vX_[200] + vX_[2461] * vX_[215] + vX_[1634] * vX_[199] + vX_[1105] * vX_[208] + vX_[1735] * vX_[196] + vX_[2019] * vX_[214] + vX_[2274] * vX_[225] + vX_[1736] * vX_[539] + vX_[2054] * vX_[489] + vX_[3562] * vX_[230] + vX_[2461] * vX_[486]) * 0.207 + vX_[1479] * x_in[23] + vX_[2031] * x_in[20] + (vX_[1589] * vX_[941] + vX_[1475] * vX_[209] + vX_[1479] * x_in[19]) * 0.3735 + (vX_[1495] * vX_[941] + vX_[1479] * x_in[18]) * 0.207 - (vX_[1455] * vX_[944] + vX_[2052] * x_in[22]) + (vX_[1564] * vX_[944] + vX_[2052] * x_in[20]) * 0.3735 - (vX_[1589] * vX_[946] + vX_[2305] * vX_[666] + vX_[2340] * vX_[669] + vX_[1716] * vX_[648] + vX_[2757] * vX_[196] + vX_[1973] * vX_[351] + vX_[1342] * vX_[636] + vX_[1195] * vX_[232] + vX_[792] * vX_[605] + vX_[1862] * vX_[601] + vX_[662] * vX_[603] + vX_[3089] * vX_[221] + vX_[2645] * vX_[548] + vX_[1641] * vX_[551] + vX_[1771] * vX_[588] + vX_[2817] * vX_[546] + vX_[1737] * vX_[498] + vX_[1475] * vX_[210] + vX_[1753] * x_in[19])) * vX_[989];
+ vX_[2340] = vX_[1720] * -1 + vX_[1718] * 0.207;
+ vX_[2305] = vX_[1577] * vX_[125] + vX_[1698] * vX_[893] + vX_[1718] * vX_[891] + vX_[1708] * vX_[892] + vX_[1374] * vX_[126];
+ vX_[3228] = vX_[1718] * vX_[197] + vX_[1708] * vX_[211];
+ vX_[1757] = vX_[2340] * vX_[148] + vX_[2305] * vX_[903] + vX_[3228] * vX_[886];
+ vX_[2092] = vX_[2340] * vX_[128] + vX_[2305] * vX_[148] + vX_[3228] * vX_[163];
+ vX_[1475] = vX_[3228] * -1;
+ vX_[1514] = vX_[1757] * 1 / vX_[145];
+ vX_[1417] = vX_[2092] * 1 / vX_[145];
+ vX_[1862] = vX_[1475] * 1 / vX_[145];
+ vX_[2060] = vX_[1374] * -1;
+ vX_[1378] = vX_[2340] * 1 / vX_[194];
+ vX_[1771] = vX_[1577] * vX_[197] + vX_[1698] * vX_[879] + vX_[1718] * vX_[212] + vX_[1708] * vX_[210] + vX_[1374] * vX_[880];
+ vX_[1912] = vX_[1771] * 1 / vX_[194];
+ vX_[662] = vX_[2305] * 1 / vX_[194];
+ vX_[792] = vX_[2060] * 1 / vX_[194];
+ vX_[1321] = vX_[3228] * 1 / vX_[194];
+ vX_[1608] = vX_[1718] * vX_[211] + vX_[1708] * vX_[209];
+ vX_[1220] = vX_[1608] * 1 / vX_[194];
+ vX_[2060] = vX_[2060] - (vX_[1378] * vX_[206] + vX_[1912] * vX_[168] + vX_[662] * vX_[158] + vX_[792] * vX_[194] + vX_[1321] * vX_[220] + vX_[1220] * vX_[229]);
+ vX_[1342] = vX_[2060] * vX_[148] + vX_[1608] * vX_[157];
+ vX_[1870] = vX_[1342] * 1 / vX_[145];
+ vX_[3089] = vX_[2060] * vX_[128] + vX_[1608] * vX_[148];
+ vX_[3392] = vX_[3089] * 1 / vX_[145];
+ vX_[1475] = vX_[1475] - (vX_[1514] * vX_[152] + vX_[1417] * vX_[143] + vX_[1862] * vX_[145] + vX_[1870] * 2.1e-05 + vX_[3392] * -0.000102);
+ vX_[1738] = vX_[1757] * vX_[129] + vX_[2092] * vX_[131] + vX_[1475] * vX_[130];
+ vX_[1195] = vX_[1757] * vX_[131] + vX_[2092] * vX_[911] + vX_[1475] * vX_[912];
+ vX_[1173] = vX_[1475] - (vX_[1195] * 38.1956380581338 * 0.110125 + vX_[1738] * 38.1956380581338 * 0.000881 + vX_[1475] * 38.1956380581338 * 0.026181);
+ vX_[1737] = vX_[1738] * 0.881 + (0 - vX_[1173]) * -0.000881;
+ vX_[688] = vX_[1195] * -0.881;
+ vX_[2817] = vX_[1173] * 0.110125;
+ vX_[2645] = vX_[688] - vX_[2817];
+ vX_[3390] = vX_[1737] * vX_[907] + vX_[2645] * vX_[899];
+ vX_[1641] = vX_[2092] * 3.146 + (0 - vX_[1475]) * 0.0825825;
+ vX_[1438] = vX_[1757] * -3.146;
+ vX_[2048] = vX_[1475] * 0.47422804;
+ vX_[2858] = vX_[1438] - vX_[2048];
+ vX_[1330] = vX_[3390] + vX_[1641] * vX_[897] + vX_[2858] * vX_[887];
+ vX_[1603] = vX_[2305] * 3.44 + vX_[3228] * -0.5824264;
+ vX_[2868] = 0 - vX_[1603];
+ vX_[1786] = vX_[2340] * 3.44 + (0 - vX_[3228]) * 0.1466472;
+ vX_[2034] = vX_[2340] * vX_[214] + vX_[1771] * vX_[196] + vX_[2305] * vX_[205] + vX_[3228] * vX_[490] + vX_[1608] * vX_[542];
+ vX_[1560] = vX_[1330] * -1 + vX_[2868] * vX_[813] + vX_[1786] * vX_[884] + vX_[2034] * x_in[30];
+ vX_[1740] = vX_[1823] - vX_[1776];
+ vX_[783] = vX_[1719] + vX_[1812];
+ vX_[2708] = vX_[1740] * vX_[211] + vX_[783] * vX_[209];
+ vX_[3450] = vX_[1841] - vX_[1776];
+ vX_[3312] = vX_[3450] * vX_[211];
+ vX_[985] = vX_[1740] * vX_[197] + vX_[783] * vX_[211];
+ vX_[3050] = vX_[3450] * vX_[209];
+ vX_[1584] = vX_[985] + vX_[3050];
+ vX_[1042] = vX_[2708] * vX_[197] + vX_[3312] * vX_[209] + vX_[1584] * vX_[211];
+ vX_[1739] = 0 - vX_[1042];
+ vX_[2516] = vX_[1776] + vX_[985] * vX_[197] + vX_[3312] * vX_[211];
+ vX_[1454] = 0 - vX_[2516];
+ vX_[2767] = vX_[1776] + vX_[2708] * vX_[211] + vX_[3050] * vX_[209];
+ vX_[1599] = vX_[1843] + vX_[1849];
+ vX_[1931] = vX_[1715] + vX_[1343] - vX_[1599];
+ vX_[990] = vX_[1833] + vX_[1848];
+ vX_[3302] = 0 - (vX_[1697] + vX_[1691]) + vX_[990];
+ vX_[1418] = (vX_[990] * vX_[197] + vX_[1599] * vX_[211]) * -1;
+ vX_[2962] = 0 - (vX_[1931] * vX_[211] + vX_[3302] * vX_[209]) + vX_[1418];
+ vX_[2013] = vX_[2962] + vX_[2516] * vX_[198];
+ vX_[2462] = 0 - vX_[2013];
+ vX_[2472] = (vX_[990] * vX_[211] + vX_[1599] * vX_[209]) * -1;
+ vX_[2615] = vX_[1931] * vX_[197] + vX_[3302] * vX_[211] + vX_[2472];
+ vX_[2669] = 0 - vX_[2767];
+ vX_[2386] = vX_[2615] + vX_[1042] * vX_[198] + vX_[2669] * vX_[127];
+ vX_[2449] = vX_[1717] + vX_[1816];
+ vX_[2466] = vX_[1569] + vX_[1815];
+ vX_[2530] = vX_[2449] * vX_[209] + vX_[2466] * vX_[211];
+ vX_[2159] = vX_[1667] + vX_[1750];
+ vX_[3063] = vX_[1722] + vX_[1814];
+ vX_[124] = vX_[2159] * vX_[211] + vX_[3063] * vX_[209];
+ vX_[2489] = vX_[2530] * vX_[197] + vX_[124] * vX_[211];
+ vX_[2524] = vX_[1664] + vX_[1831];
+ vX_[2971] = vX_[1854] + vX_[1851];
+ vX_[1910] = 0 - vX_[2971];
+ vX_[2811] = vX_[2524] * vX_[211] + vX_[1910] * vX_[209];
+ vX_[3239] = 0 - vX_[2811];
+ vX_[3198] = vX_[2489] + vX_[3239] * vX_[127] + vX_[1454] * vX_[213];
+ vX_[2319] = 0 - vX_[3198];
+ vX_[2309] = vX_[2449] * vX_[211] + vX_[2466] * vX_[197];
+ vX_[2210] = vX_[2159] * vX_[197] + vX_[3063] * vX_[211];
+ vX_[2259] = vX_[2309] * vX_[211] + vX_[2210] * vX_[209];
+ vX_[2971] = 0 - vX_[2971];
+ vX_[461] = vX_[2524] * vX_[197] + vX_[2971] * vX_[211];
+ vX_[2624] = 0 - vX_[461];
+ vX_[2095] = vX_[2259] + vX_[2624] * vX_[198] + vX_[2767] * vX_[213];
+ vX_[2901] = vX_[2309] * vX_[197] + vX_[2210] * vX_[211];
+ vX_[2081] = vX_[2901] + vX_[2811] * vX_[198];
+ vX_[2176] = vX_[2530] * vX_[211] + vX_[124] * vX_[209];
+ vX_[2295] = vX_[2176] + vX_[461] * vX_[127] + vX_[1739] * vX_[213];
+ vX_[2093] = 0 - vX_[2081] + vX_[2295];
+ vX_[2346] = 0 - vX_[1042];
+ vX_[2344] = 0 - vX_[2516];
+ vX_[1454] = vX_[1739] * vX_[545] + vX_[1454] * vX_[492] + vX_[2767] * vX_[176] + vX_[2462] * vX_[214] + vX_[2386] * vX_[225] + vX_[2319] * vX_[205] + vX_[2095] * vX_[199] + vX_[2093] * vX_[196] + vX_[1042] * vX_[539] + vX_[2346] * vX_[542] + vX_[2344] * vX_[491] + vX_[2767] * vX_[495];
+ vX_[1739] = 0 - vX_[1737];
+ vX_[3094] = vX_[1771] * -1 + vX_[2060] * -0.08;
+ vX_[2411] = vX_[3094] + vX_[1342] * -0.35;
+ vX_[2679] = vX_[1342] * vX_[131] + vX_[3089] * vX_[137];
+ vX_[2456] = vX_[1342] * vX_[129] + vX_[3089] * vX_[131];
+ vX_[2705] = vX_[2411] * 0.881 + (0 - vX_[2679]) * 0.110125 + vX_[2456] * -0.000881;
+ vX_[2755] = vX_[1195] * -0.00370574557885489 + vX_[1738] * 0.880970354035369;
+ vX_[2741] = vX_[1739] * vX_[902] + vX_[2705] * vX_[899] + vX_[2755] * x_in[32];
+ vX_[2817] = 0 - vX_[688] + vX_[2817];
+ vX_[688] = 0 - vX_[2705];
+ vX_[3056] = vX_[1195] * 0.417781802643138 + vX_[1738] * -0.00370574557885489;
+ vX_[2965] = vX_[2817] * vX_[902] + vX_[688] * vX_[907] - vX_[3056] * x_in[32];
+ vX_[3065] = 0 - vX_[1641];
+ vX_[3097] = vX_[3094] * 3.146 + (0 - vX_[1342]) * 0.47422804 + vX_[3089] * 0.0825825;
+ vX_[3062] = vX_[1757] * vX_[173] + vX_[2092] * vX_[172] + vX_[1342] * vX_[149] + vX_[3089] * vX_[147];
+ vX_[3111] = vX_[2741] * vX_[131] + vX_[2965] * vX_[129] + vX_[3065] * vX_[890] + vX_[3097] * vX_[887] + vX_[3062] * x_in[31];
+ vX_[2048] = 0 - vX_[1438] + vX_[2048];
+ vX_[1438] = 0 - vX_[3097];
+ vX_[2383] = vX_[1757] * vX_[171] + vX_[2092] * vX_[173] + vX_[1342] * vX_[155] + vX_[3089] * vX_[154];
+ vX_[359] = vX_[2741] * vX_[911] + vX_[2965] * vX_[131] + vX_[2048] * vX_[890] + vX_[1438] * vX_[897] - vX_[2383] * x_in[31];
+ vX_[837] = vX_[1771] * -3.44;
+ vX_[3066] = vX_[2060] * 0.1466472;
+ vX_[3067] = vX_[1608] * -0.5824264;
+ vX_[3255] = 0 - vX_[837] + vX_[3066] - vX_[3067];
+ vX_[2527] = 0 - vX_[1786];
+ vX_[3236] = vX_[2340] * vX_[225] + vX_[1771] * vX_[199] + vX_[2305] * vX_[196] + vX_[3228] * vX_[539] + vX_[1608] * vX_[489];
+ vX_[415] = vX_[3111] * vX_[903] + vX_[359] * vX_[148] + vX_[3255] * vX_[813] + vX_[2527] * vX_[882] - vX_[3236] * x_in[30];
+ vX_[367] = vX_[1823] + vX_[1841] + vX_[1776] - vX_[2516] - vX_[2767];
+ vX_[2519] = 0 - vX_[367];
+ vX_[1418] = vX_[1418] + vX_[2519] * vX_[198];
+ vX_[2472] = vX_[2472] + vX_[367] * vX_[127];
+ vX_[2671] = 0 - vX_[2386];
+ vX_[2376] = 0 - vX_[2095];
+ vX_[2653] = vX_[1853] + vX_[1850] + vX_[2466] + vX_[3063] - vX_[2901] - vX_[2176];
+ vX_[2295] = vX_[2653] - vX_[2295];
+ vX_[699] = 0 - vX_[2811];
+ vX_[2891] = 0 - vX_[1042];
+ vX_[2523] = 0 - vX_[2767];
+ vX_[3060] = vX_[1811] - vX_[1591];
+ vX_[2380] = vX_[1818] - vX_[1591];
+ vX_[2625] = vX_[1690] + vX_[1813];
+ vX_[2536] = vX_[1626] + vX_[1821];
+ vX_[2942] = vX_[1679] + vX_[1820];
+ vX_[2378] = 0 - vX_[2942];
+ vX_[2538] = vX_[3060] * vX_[211] + vX_[2625] * vX_[209];
+ vX_[736] = vX_[2380] * vX_[211];
+ vX_[2673] = vX_[3060] * vX_[197] + vX_[2625] * vX_[211];
+ vX_[3099] = vX_[2380] * vX_[209];
+ vX_[2794] = vX_[2673] + vX_[3099];
+ vX_[3095] = vX_[2411] * -0.000881 + vX_[2456] * -0.000227999999999999;
+ vX_[3113] = vX_[2411] * 0.110125 + (0 - vX_[2679]) * 0.025713;
+ vX_[2978] = (0 - vX_[1195]) * -0.000881;
+ vX_[3122] = (0 - vX_[1738]) * 0.110125;
+ vX_[3354] = vX_[2978] + vX_[3122];
+ vX_[3354] = vX_[1739] * vX_[913] + vX_[2817] * vX_[905] + vX_[3095] * vX_[907] + vX_[3113] * vX_[899] + vX_[3354] * vX_[902] + vX_[3354] * vX_[902];
+ vX_[2817] = vX_[3094] * 0.0825825 + (0 - vX_[1475]) * -0.000102 + vX_[1342] * -0.007418 + vX_[3089] * 0.002735;
+ vX_[1739] = vX_[3094] * 0.47422804 + vX_[1475] * 2.1e-05 + (0 - vX_[1342]) * 0.084376 + (0 - vX_[3089]) * -0.007418;
+ vX_[3299] = (0 - vX_[1757]) * 0.0825825;
+ vX_[3114] = (0 - vX_[2092]) * 0.47422804;
+ vX_[3349] = vX_[1342] * -0.000102;
+ vX_[407] = (0 - vX_[3089]) * 2.1e-05;
+ vX_[2940] = vX_[3299] + vX_[3114] + vX_[3349] + vX_[407];
+ vX_[2940] = vX_[3354] + vX_[2741] * vX_[912] + vX_[2965] * vX_[130] + vX_[3065] * vX_[904] + vX_[2048] * vX_[895] + vX_[2817] * vX_[897] + vX_[1739] * vX_[887] + vX_[2940] * vX_[890] + vX_[2940] * vX_[890];
+ vX_[2048] = vX_[1771] * -0.5824264 + (0 - vX_[2060]) * 0.022734 + vX_[3228] * 3.6e-05 + vX_[1608] * -0.133138;
+ vX_[3065] = vX_[1771] * 0.1466472 + vX_[2060] * 0.009466 + (0 - vX_[3228]) * -5.1e-05 + vX_[1608] * 0.022734;
+ vX_[710] = (0 - vX_[2340]) * -0.5824264;
+ vX_[3470] = (0 - vX_[2305]) * 0.1466472;
+ vX_[3355] = (0 - vX_[2060]) * 3.6e-05;
+ vX_[3225] = (0 - vX_[1608]) * -5.1e-05;
+ vX_[386] = vX_[710] + vX_[3470] + vX_[3355] - vX_[3225];
+ vX_[2815] = vX_[2340] * vX_[230] + vX_[1771] * vX_[489] + vX_[2305] * vX_[542] + vX_[3228] * vX_[541] + vX_[1608] * vX_[193];
+ vX_[386] = vX_[3111] * vX_[886] + vX_[359] * vX_[163] + vX_[2940] * -1 + vX_[1603] * vX_[815] + vX_[2527] * vX_[894] + vX_[2048] * vX_[813] + vX_[3065] * vX_[884] + vX_[386] * vX_[882] + vX_[386] * vX_[882] + vX_[2815] * x_in[30];
+ vX_[1173] = vX_[1195] * 0.110125 + vX_[1738] * -0.000881 + vX_[1173] * 0.025941;
+ vX_[2456] = vX_[2411] * -0.000881 + vX_[2456] * 0.000468;
+ vX_[3122] = vX_[1737] * vX_[900] + vX_[688] * vX_[905] + vX_[3095] * vX_[902] + vX_[1173] * vX_[899] + vX_[3122] * vX_[907] + vX_[3122] * vX_[907] + vX_[2456] * x_in[32];
+ vX_[2679] = vX_[2411] * -0.110125 + vX_[2679] * 0.026409;
+ jac[1176] = vX_[3056] * vX_[909] + vX_[2755] * vX_[913] + vX_[2679] * vX_[938] + vX_[2456] * vX_[907] + vX_[3354];
+ vX_[2679] = vX_[2645] * vX_[900] + vX_[2705] * vX_[913] + vX_[3113] * vX_[902] + vX_[1173] * vX_[907] + vX_[2978] * vX_[899] + vX_[2978] * vX_[899] - vX_[2679] * x_in[32];
+ vX_[1173] = vX_[1757] * 0.47422804 + vX_[2092] * 0.0825825 + vX_[1475] * 0.081641 + (0 - vX_[1342]) * 2.1e-05 + vX_[3089] * -0.000102;
+ vX_[2978] = (0 - vX_[1475]) * -0.007418;
+ vX_[407] = vX_[3114] + vX_[2978] - vX_[407];
+ vX_[3114] = vX_[3094] * vX_[142] + vX_[1757] * vX_[154] + vX_[2092] * vX_[147] + vX_[1342] * vX_[188] + vX_[3089] * vX_[184];
+ vX_[407] = vX_[3390] * -0.35 + vX_[3122] * vX_[131] + vX_[2679] * vX_[129] + vX_[1641] * vX_[888] + vX_[1438] * vX_[895] + vX_[2817] * vX_[890] + vX_[1173] * vX_[887] + vX_[407] * vX_[897] + vX_[407] * vX_[897] + vX_[3114] * x_in[31];
+ vX_[2978] = vX_[3299] - vX_[2978] - vX_[3349];
+ vX_[3349] = vX_[3094] * vX_[151] + vX_[1757] * vX_[155] + vX_[2092] * vX_[149] + vX_[1342] * vX_[182] + vX_[3089] * vX_[188];
+ jac[1140] = vX_[2383] * vX_[908] + vX_[3062] * vX_[904] + vX_[3349] * vX_[915] + vX_[3114] * vX_[897] + vX_[2940];
+ vX_[3349] = vX_[3122] * vX_[137] + vX_[2679] * vX_[131] + vX_[2858] * vX_[888] + vX_[3097] * vX_[904] + vX_[1739] * vX_[890] + vX_[1173] * vX_[897] + vX_[2978] * vX_[887] + vX_[2978] * vX_[887] - vX_[3349] * x_in[31];
+ vX_[3067] = vX_[837] - vX_[3066] + vX_[3067];
+ vX_[3066] = vX_[2340] * 0.1466472 + vX_[2305] * -0.5824264 + vX_[2060] * -5.1e-05 + (0 - vX_[3228]) * -0.123672 + (0 - vX_[1608]) * 3.6e-05;
+ vX_[837] = vX_[3228] * 0.022734;
+ vX_[3355] = vX_[710] - vX_[3355] - vX_[837];
+ vX_[710] = vX_[2340] * vX_[167] + vX_[1771] * vX_[539] + vX_[2305] * vX_[490] + vX_[3228] * vX_[488] + vX_[1608] * vX_[541];
+ vX_[3355] = vX_[407] * vX_[157] + vX_[3349] * vX_[148] + vX_[3067] * vX_[815] + vX_[1786] * vX_[814] + vX_[3066] * vX_[813] + vX_[3065] * vX_[882] + vX_[3355] * vX_[884] + vX_[3355] * vX_[884] - vX_[710] * x_in[30];
+ vX_[3065] = 0 - vX_[1418];
+ vX_[1786] = 0 - vX_[2472];
+ vX_[2653] = 0 - vX_[2653] + vX_[2081];
+ vX_[2081] = 0 - vX_[461];
+ vX_[2942] = 0 - vX_[2942];
+ jac[456] = 0 - (0 - (vX_[1698] * vX_[941] + vX_[1560] * x_in[22]) + (vX_[1718] * vX_[941] + vX_[1454] * vX_[211] + vX_[1560] * x_in[20]) * 0.3735 - (vX_[1577] * vX_[944] + vX_[415] * x_in[23]) + (vX_[1708] * vX_[944] + vX_[415] * x_in[19]) * -0.3735 + (vX_[1374] * vX_[944] + (vX_[3239] * vX_[492] + vX_[461] * vX_[545] + vX_[367] * vX_[224] + vX_[2669] * vX_[226] + vX_[1418] * vX_[196] + vX_[2472] * vX_[205] + vX_[2671] * vX_[208] + vX_[2376] * vX_[225] + vX_[2295] * vX_[214] + vX_[699] * vX_[490] + vX_[461] * vX_[542] + vX_[2891] * vX_[167] + vX_[2523] * vX_[497]) * -1 + vX_[415] * x_in[18]) * -0.207 - (vX_[1718] * vX_[946] + vX_[1708] * vX_[917] + vX_[3060] * vX_[669] + vX_[2380] * vX_[667] + vX_[2625] * vX_[665] + vX_[2536] * vX_[648] + vX_[2378] * vX_[214] + vX_[2538] * vX_[351] + vX_[736] * vX_[480] + vX_[2794] * vX_[196] + vX_[2449] * vX_[637] + vX_[2159] * vX_[605] + vX_[990] * vX_[232] + vX_[1599] * vX_[222] + vX_[2466] * vX_[636] + vX_[3063] * vX_[602] + vX_[2309] * vX_[601] + vX_[2530] * vX_[603] + vX_[2210] * vX_[544] + vX_[124] * vX_[604] + vX_[1931] * vX_[221] + vX_[3302] * vX_[231] + vX_[1740] * vX_[551] + vX_[3450] * vX_[549] + vX_[783] * vX_[547] + vX_[2524] * vX_[588] + vX_[2971] * vX_[589] + vX_[2708] * vX_[498] + vX_[3312] * vX_[494] + vX_[1584] * vX_[546] + vX_[1454] * vX_[212] + vX_[386] * x_in[19] + vX_[3355] * x_in[20])) * vX_[3528] + (vX_[1577] * vX_[941] + vX_[1718] * vX_[917] + vX_[3060] * vX_[665] + vX_[2536] * vX_[214] + vX_[2673] * vX_[480] + vX_[2538] * vX_[196] + vX_[2159] * vX_[602] + vX_[990] * vX_[222] + vX_[2466] * vX_[637] + vX_[2309] * vX_[544] + vX_[2530] * vX_[604] + vX_[1931] * vX_[231] + vX_[1740] * vX_[547] + vX_[2524] * vX_[589] + vX_[985] * vX_[494] + vX_[2708] * vX_[546] + (vX_[2811] * vX_[543] + vX_[2624] * vX_[176] + vX_[1042] * vX_[226] + vX_[2519] * vX_[200] + vX_[2516] * vX_[215] + vX_[3065] * vX_[199] + vX_[2013] * vX_[208] + vX_[1786] * vX_[196] + vX_[3198] * vX_[214] + vX_[2653] * vX_[225] + vX_[2811] * vX_[539] + vX_[2081] * vX_[489] + vX_[1042] * vX_[230] + vX_[2516] * vX_[486]) * 0.207 + vX_[1560] * x_in[23] + vX_[386] * x_in[20] + (vX_[1708] * vX_[941] + vX_[1454] * vX_[209] + vX_[1560] * x_in[19]) * 0.3735 + (vX_[1374] * vX_[941] + vX_[1560] * x_in[18]) * 0.207 - (vX_[1698] * vX_[944] + vX_[415] * x_in[22]) + (vX_[1718] * vX_[944] + vX_[415] * x_in[20]) * 0.3735 - (vX_[1708] * vX_[946] + vX_[2380] * vX_[666] + vX_[2625] * vX_[669] + vX_[2942] * vX_[648] + vX_[736] * vX_[196] + vX_[3099] * vX_[351] + vX_[2449] * vX_[636] + vX_[1599] * vX_[232] + vX_[3063] * vX_[605] + vX_[2210] * vX_[601] + vX_[124] * vX_[603] + vX_[3302] * vX_[221] + vX_[3450] * vX_[548] + vX_[783] * vX_[551] + vX_[1910] * vX_[588] + vX_[3312] * vX_[546] + vX_[3050] * vX_[498] + vX_[1454] * vX_[210] + vX_[3355] * x_in[19])) * vX_[989];
+ vX_[2625] = vX_[1828] * -1 + vX_[1110] * 0.207;
+ vX_[2380] = vX_[1791] * vX_[125] + vX_[1840] * vX_[893] + vX_[1110] * vX_[891] + vX_[1680] * vX_[892] + vX_[1796] * vX_[126];
+ vX_[3060] = vX_[1110] * vX_[197] + vX_[1680] * vX_[211];
+ vX_[2519] = vX_[2625] * vX_[148] + vX_[2380] * vX_[903] + vX_[3060] * vX_[886];
+ vX_[367] = vX_[2625] * vX_[128] + vX_[2380] * vX_[148] + vX_[3060] * vX_[163];
+ vX_[1454] = vX_[3060] * -1;
+ vX_[2624] = vX_[2519] * 1 / vX_[145];
+ vX_[2971] = vX_[367] * 1 / vX_[145];
+ vX_[2210] = vX_[1454] * 1 / vX_[145];
+ vX_[2309] = vX_[1796] * -1;
+ vX_[3239] = vX_[2625] * 1 / vX_[194];
+ vX_[1910] = vX_[1791] * vX_[197] + vX_[1840] * vX_[879] + vX_[1110] * vX_[212] + vX_[1680] * vX_[210] + vX_[1796] * vX_[880];
+ vX_[2524] = vX_[1910] * 1 / vX_[194];
+ vX_[124] = vX_[2380] * 1 / vX_[194];
+ vX_[3063] = vX_[2309] * 1 / vX_[194];
+ vX_[2159] = vX_[3060] * 1 / vX_[194];
+ vX_[2530] = vX_[1110] * vX_[211] + vX_[1680] * vX_[209];
+ vX_[2466] = vX_[2530] * 1 / vX_[194];
+ vX_[2309] = vX_[2309] - (vX_[3239] * vX_[206] + vX_[2524] * vX_[168] + vX_[124] * vX_[158] + vX_[3063] * vX_[194] + vX_[2159] * vX_[220] + vX_[2466] * vX_[229]);
+ vX_[2449] = vX_[2309] * vX_[148] + vX_[2530] * vX_[157];
+ vX_[2669] = vX_[2449] * 1 / vX_[145];
+ vX_[3302] = vX_[2309] * vX_[128] + vX_[2530] * vX_[148];
+ vX_[990] = vX_[3302] * 1 / vX_[145];
+ vX_[1454] = vX_[1454] - (vX_[2624] * vX_[152] + vX_[2971] * vX_[143] + vX_[2210] * vX_[145] + vX_[2669] * 2.1e-05 + vX_[990] * -0.000102);
+ vX_[1931] = vX_[2519] * vX_[129] + vX_[367] * vX_[131] + vX_[1454] * vX_[130];
+ vX_[1599] = vX_[2519] * vX_[131] + vX_[367] * vX_[911] + vX_[1454] * vX_[912];
+ vX_[1584] = vX_[1454] - (vX_[1599] * 38.1956380581338 * 0.110125 + vX_[1931] * 38.1956380581338 * 0.000881 + vX_[1454] * 38.1956380581338 * 0.026181);
+ vX_[3050] = vX_[1931] * 0.881 + (0 - vX_[1584]) * -0.000881;
+ vX_[985] = vX_[1599] * -0.881;
+ vX_[3312] = vX_[1584] * 0.110125;
+ vX_[3450] = vX_[985] - vX_[3312];
+ vX_[2708] = vX_[3050] * vX_[907] + vX_[3450] * vX_[899];
+ vX_[783] = vX_[367] * 3.146 + (0 - vX_[1454]) * 0.0825825;
+ vX_[1740] = vX_[2519] * -3.146;
+ vX_[2978] = vX_[1454] * 0.47422804;
+ vX_[1173] = vX_[1740] - vX_[2978];
+ vX_[1739] = vX_[2708] + vX_[783] * vX_[897] + vX_[1173] * vX_[887];
+ vX_[3097] = vX_[2380] * 3.44 + vX_[3060] * -0.5824264;
+ vX_[2858] = 0 - vX_[3097];
+ vX_[3114] = vX_[2625] * 3.44 + (0 - vX_[3060]) * 0.1466472;
+ vX_[2940] = vX_[2625] * vX_[214] + vX_[1910] * vX_[196] + vX_[2380] * vX_[205] + vX_[3060] * vX_[490] + vX_[2530] * vX_[542];
+ vX_[2383] = vX_[1739] * -1 + vX_[2858] * vX_[813] + vX_[3114] * vX_[884] + vX_[2940] * x_in[30];
+ vX_[3062] = vX_[1974] - vX_[1801];
+ vX_[3299] = vX_[1838] + vX_[1963];
+ vX_[2817] = vX_[3062] * vX_[211] + vX_[3299] * vX_[209];
+ vX_[1438] = vX_[1992] - vX_[1801];
+ vX_[1641] = vX_[1438] * vX_[211];
+ vX_[3390] = vX_[3062] * vX_[197] + vX_[3299] * vX_[211];
+ vX_[3113] = vX_[1438] * vX_[209];
+ vX_[2705] = vX_[3390] + vX_[3113];
+ vX_[2645] = vX_[2817] * vX_[197] + vX_[1641] * vX_[209] + vX_[2705] * vX_[211];
+ vX_[2456] = 0 - vX_[2645];
+ vX_[3354] = vX_[1801] + vX_[3390] * vX_[197] + vX_[1641] * vX_[211];
+ vX_[3056] = 0 - vX_[3354];
+ vX_[2755] = vX_[1801] + vX_[2817] * vX_[211] + vX_[3113] * vX_[209];
+ vX_[2411] = vX_[1994] + vX_[2000];
+ vX_[3095] = vX_[1839] + vX_[1920] - vX_[2411];
+ vX_[688] = vX_[1984] + vX_[1999];
+ vX_[1737] = 0 - (vX_[1773] + vX_[1878]) + vX_[688];
+ vX_[1195] = (vX_[688] * vX_[197] + vX_[2411] * vX_[211]) * -1;
+ vX_[1738] = 0 - (vX_[3095] * vX_[211] + vX_[1737] * vX_[209]) + vX_[1195];
+ vX_[2527] = vX_[1738] + vX_[3354] * vX_[198];
+ vX_[3417] = 0 - vX_[2527];
+ vX_[3414] = (vX_[688] * vX_[211] + vX_[2411] * vX_[209]) * -1;
+ vX_[365] = vX_[3095] * vX_[197] + vX_[1737] * vX_[211] + vX_[3414];
+ vX_[2827] = 0 - vX_[2755];
+ vX_[3086] = vX_[365] + vX_[2645] * vX_[198] + vX_[2827] * vX_[127];
+ vX_[3092] = vX_[1829] + vX_[1967];
+ vX_[3020] = vX_[1695] + vX_[1966];
+ vX_[380] = vX_[3092] * vX_[209] + vX_[3020] * vX_[211];
+ vX_[3121] = vX_[1700] + vX_[1923];
+ vX_[2907] = vX_[1845] + vX_[1965];
+ vX_[3415] = vX_[3121] * vX_[211] + vX_[2907] * vX_[209];
+ vX_[2680] = vX_[380] * vX_[197] + vX_[3415] * vX_[211];
+ vX_[2900] = vX_[1857] + vX_[1982];
+ vX_[2964] = vX_[2005] + vX_[2002];
+ vX_[360] = 0 - vX_[2964];
+ vX_[2969] = vX_[2900] * vX_[211] + vX_[360] * vX_[209];
+ vX_[2830] = 0 - vX_[2969];
+ vX_[362] = vX_[2680] + vX_[2830] * vX_[127] + vX_[3056] * vX_[213];
+ vX_[3162] = 0 - vX_[362];
+ vX_[649] = vX_[3092] * vX_[211] + vX_[3020] * vX_[197];
+ vX_[3232] = vX_[3121] * vX_[197] + vX_[2907] * vX_[211];
+ vX_[416] = vX_[649] * vX_[211] + vX_[3232] * vX_[209];
+ vX_[2964] = 0 - vX_[2964];
+ vX_[742] = vX_[2900] * vX_[197] + vX_[2964] * vX_[211];
+ vX_[3268] = 0 - vX_[742];
+ vX_[3277] = vX_[416] + vX_[3268] * vX_[198] + vX_[2755] * vX_[213];
+ vX_[355] = vX_[649] * vX_[197] + vX_[3232] * vX_[211];
+ vX_[716] = vX_[355] + vX_[2969] * vX_[198];
+ vX_[3264] = vX_[380] * vX_[211] + vX_[3415] * vX_[209];
+ vX_[368] = vX_[3264] + vX_[742] * vX_[127] + vX_[2456] * vX_[213];
+ vX_[3495] = 0 - vX_[716] + vX_[368];
+ vX_[3253] = 0 - vX_[2645];
+ vX_[996] = 0 - vX_[3354];
+ vX_[3056] = vX_[2456] * vX_[545] + vX_[3056] * vX_[492] + vX_[2755] * vX_[176] + vX_[3417] * vX_[214] + vX_[3086] * vX_[225] + vX_[3162] * vX_[205] + vX_[3277] * vX_[199] + vX_[3495] * vX_[196] + vX_[2645] * vX_[539] + vX_[3253] * vX_[542] + vX_[996] * vX_[491] + vX_[2755] * vX_[495];
+ vX_[2456] = 0 - vX_[3050];
+ vX_[331] = vX_[1910] * -1 + vX_[2309] * -0.08;
+ vX_[501] = vX_[331] + vX_[2449] * -0.35;
+ vX_[3621] = vX_[2449] * vX_[131] + vX_[3302] * vX_[137];
+ vX_[3490] = vX_[2449] * vX_[129] + vX_[3302] * vX_[131];
+ vX_[3116] = vX_[501] * 0.881 + (0 - vX_[3621]) * 0.110125 + vX_[3490] * -0.000881;
+ vX_[768] = vX_[1599] * -0.00370574557885489 + vX_[1931] * 0.880970354035369;
+ vX_[3600] = vX_[2456] * vX_[902] + vX_[3116] * vX_[899] + vX_[768] * x_in[32];
+ vX_[3312] = 0 - vX_[985] + vX_[3312];
+ vX_[985] = 0 - vX_[3116];
+ vX_[628] = vX_[1599] * 0.417781802643138 + vX_[1931] * -0.00370574557885489;
+ vX_[3314] = vX_[3312] * vX_[902] + vX_[985] * vX_[907] - vX_[628] * x_in[32];
+ vX_[3337] = 0 - vX_[783];
+ vX_[3351] = vX_[331] * 3.146 + (0 - vX_[2449]) * 0.47422804 + vX_[3302] * 0.0825825;
+ vX_[3411] = vX_[2519] * vX_[173] + vX_[367] * vX_[172] + vX_[2449] * vX_[149] + vX_[3302] * vX_[147];
+ vX_[433] = vX_[3600] * vX_[131] + vX_[3314] * vX_[129] + vX_[3337] * vX_[890] + vX_[3351] * vX_[887] + vX_[3411] * x_in[31];
+ vX_[2978] = 0 - vX_[1740] + vX_[2978];
+ vX_[1740] = 0 - vX_[3351];
+ vX_[390] = vX_[2519] * vX_[171] + vX_[367] * vX_[173] + vX_[2449] * vX_[155] + vX_[3302] * vX_[154];
+ vX_[3120] = vX_[3600] * vX_[911] + vX_[3314] * vX_[131] + vX_[2978] * vX_[890] + vX_[1740] * vX_[897] - vX_[390] * x_in[31];
+ vX_[782] = vX_[1910] * -3.44;
+ vX_[3043] = vX_[2309] * 0.1466472;
+ vX_[3360] = vX_[2530] * -0.5824264;
+ vX_[3112] = 0 - vX_[782] + vX_[3043] - vX_[3360];
+ vX_[517] = 0 - vX_[3114];
+ vX_[3384] = vX_[2625] * vX_[225] + vX_[1910] * vX_[199] + vX_[2380] * vX_[196] + vX_[3060] * vX_[539] + vX_[2530] * vX_[489];
+ vX_[3185] = vX_[433] * vX_[903] + vX_[3120] * vX_[148] + vX_[3112] * vX_[813] + vX_[517] * vX_[882] - vX_[3384] * x_in[30];
+ vX_[653] = vX_[1974] + vX_[1992] + vX_[1801] - vX_[3354] - vX_[2755];
+ vX_[363] = 0 - vX_[653];
+ vX_[1195] = vX_[1195] + vX_[363] * vX_[198];
+ vX_[3414] = vX_[3414] + vX_[653] * vX_[127];
+ vX_[419] = 0 - vX_[3086];
+ vX_[373] = 0 - vX_[3277];
+ vX_[748] = vX_[2004] + vX_[2001] + vX_[3020] + vX_[2907] - vX_[355] - vX_[3264];
+ vX_[368] = vX_[748] - vX_[368];
+ vX_[3388] = 0 - vX_[2969];
+ vX_[3416] = 0 - vX_[2645];
+ vX_[552] = 0 - vX_[2755];
+ vX_[513] = vX_[1962] - vX_[1886];
+ vX_[721] = vX_[1969] - vX_[1886];
+ vX_[1011] = vX_[1586] + vX_[1964];
+ vX_[3626] = vX_[1830] + vX_[1972];
+ vX_[3644] = vX_[1713] + vX_[1971];
+ vX_[3645] = 0 - vX_[3644];
+ vX_[1008] = vX_[513] * vX_[211] + vX_[1011] * vX_[209];
+ vX_[1009] = vX_[721] * vX_[211];
+ vX_[3598] = vX_[513] * vX_[197] + vX_[1011] * vX_[211];
+ vX_[3564] = vX_[721] * vX_[209];
+ vX_[3640] = vX_[3598] + vX_[3564];
+ vX_[3641] = vX_[501] * -0.000881 + vX_[3490] * -0.000227999999999999;
+ vX_[3619] = vX_[501] * 0.110125 + (0 - vX_[3621]) * 0.025713;
+ vX_[3630] = (0 - vX_[1599]) * -0.000881;
+ vX_[3639] = (0 - vX_[1931]) * 0.110125;
+ vX_[3628] = vX_[3630] + vX_[3639];
+ vX_[3628] = vX_[2456] * vX_[913] + vX_[3312] * vX_[905] + vX_[3641] * vX_[907] + vX_[3619] * vX_[899] + vX_[3628] * vX_[902] + vX_[3628] * vX_[902];
+ vX_[3312] = vX_[331] * 0.0825825 + (0 - vX_[1454]) * -0.000102 + vX_[2449] * -0.007418 + vX_[3302] * 0.002735;
+ vX_[2456] = vX_[331] * 0.47422804 + vX_[1454] * 2.1e-05 + (0 - vX_[2449]) * 0.084376 + (0 - vX_[3302]) * -0.007418;
+ vX_[376] = (0 - vX_[2519]) * 0.0825825;
+ vX_[3252] = (0 - vX_[367]) * 0.47422804;
+ vX_[635] = vX_[2449] * -0.000102;
+ vX_[352] = (0 - vX_[3302]) * 2.1e-05;
+ vX_[622] = vX_[376] + vX_[3252] + vX_[635] + vX_[352];
+ vX_[622] = vX_[3628] + vX_[3600] * vX_[912] + vX_[3314] * vX_[130] + vX_[3337] * vX_[904] + vX_[2978] * vX_[895] + vX_[3312] * vX_[897] + vX_[2456] * vX_[887] + vX_[622] * vX_[890] + vX_[622] * vX_[890];
+ vX_[2978] = vX_[1910] * -0.5824264 + (0 - vX_[2309]) * 0.022734 + vX_[3060] * 3.6e-05 + vX_[2530] * -0.133138;
+ vX_[3337] = vX_[1910] * 0.1466472 + vX_[2309] * 0.009466 + (0 - vX_[3060]) * -5.1e-05 + vX_[2530] * 0.022734;
+ vX_[623] = (0 - vX_[2625]) * -0.5824264;
+ vX_[642] = (0 - vX_[2380]) * 0.1466472;
+ vX_[1006] = (0 - vX_[2309]) * 3.6e-05;
+ vX_[997] = (0 - vX_[2530]) * -5.1e-05;
+ vX_[976] = vX_[623] + vX_[642] + vX_[1006] - vX_[997];
+ vX_[962] = vX_[2625] * vX_[230] + vX_[1910] * vX_[489] + vX_[2380] * vX_[542] + vX_[3060] * vX_[541] + vX_[2530] * vX_[193];
+ vX_[976] = vX_[433] * vX_[886] + vX_[3120] * vX_[163] + vX_[622] * -1 + vX_[3097] * vX_[815] + vX_[517] * vX_[894] + vX_[2978] * vX_[813] + vX_[3337] * vX_[884] + vX_[976] * vX_[882] + vX_[976] * vX_[882] + vX_[962] * x_in[30];
+ vX_[1584] = vX_[1599] * 0.110125 + vX_[1931] * -0.000881 + vX_[1584] * 0.025941;
+ vX_[3490] = vX_[501] * -0.000881 + vX_[3490] * 0.000468;
+ vX_[3639] = vX_[3050] * vX_[900] + vX_[985] * vX_[905] + vX_[3641] * vX_[902] + vX_[1584] * vX_[899] + vX_[3639] * vX_[907] + vX_[3639] * vX_[907] + vX_[3490] * x_in[32];
+ vX_[3621] = vX_[501] * -0.110125 + vX_[3621] * 0.026409;
+ jac[1177] = vX_[628] * vX_[909] + vX_[768] * vX_[913] + vX_[3621] * vX_[938] + vX_[3490] * vX_[907] + vX_[3628];
+ vX_[3621] = vX_[3450] * vX_[900] + vX_[3116] * vX_[913] + vX_[3619] * vX_[902] + vX_[1584] * vX_[907] + vX_[3630] * vX_[899] + vX_[3630] * vX_[899] - vX_[3621] * x_in[32];
+ vX_[1584] = vX_[2519] * 0.47422804 + vX_[367] * 0.0825825 + vX_[1454] * 0.081641 + (0 - vX_[2449]) * 2.1e-05 + vX_[3302] * -0.000102;
+ vX_[3630] = (0 - vX_[1454]) * -0.007418;
+ vX_[352] = vX_[3252] + vX_[3630] - vX_[352];
+ vX_[3252] = vX_[331] * vX_[142] + vX_[2519] * vX_[154] + vX_[367] * vX_[147] + vX_[2449] * vX_[188] + vX_[3302] * vX_[184];
+ vX_[352] = vX_[2708] * -0.35 + vX_[3639] * vX_[131] + vX_[3621] * vX_[129] + vX_[783] * vX_[888] + vX_[1740] * vX_[895] + vX_[3312] * vX_[890] + vX_[1584] * vX_[887] + vX_[352] * vX_[897] + vX_[352] * vX_[897] + vX_[3252] * x_in[31];
+ vX_[3630] = vX_[376] - vX_[3630] - vX_[635];
+ vX_[635] = vX_[331] * vX_[151] + vX_[2519] * vX_[155] + vX_[367] * vX_[149] + vX_[2449] * vX_[182] + vX_[3302] * vX_[188];
+ jac[1141] = vX_[390] * vX_[908] + vX_[3411] * vX_[904] + vX_[635] * vX_[915] + vX_[3252] * vX_[897] + vX_[622];
+ vX_[635] = vX_[3639] * vX_[137] + vX_[3621] * vX_[131] + vX_[1173] * vX_[888] + vX_[3351] * vX_[904] + vX_[2456] * vX_[890] + vX_[1584] * vX_[897] + vX_[3630] * vX_[887] + vX_[3630] * vX_[887] - vX_[635] * x_in[31];
+ vX_[3360] = vX_[782] - vX_[3043] + vX_[3360];
+ vX_[3043] = vX_[2625] * 0.1466472 + vX_[2380] * -0.5824264 + vX_[2309] * -5.1e-05 + (0 - vX_[3060]) * -0.123672 + (0 - vX_[2530]) * 3.6e-05;
+ vX_[782] = vX_[3060] * 0.022734;
+ vX_[1006] = vX_[623] - vX_[1006] - vX_[782];
+ vX_[623] = vX_[2625] * vX_[167] + vX_[1910] * vX_[539] + vX_[2380] * vX_[490] + vX_[3060] * vX_[488] + vX_[2530] * vX_[541];
+ vX_[1006] = vX_[352] * vX_[157] + vX_[635] * vX_[148] + vX_[3360] * vX_[815] + vX_[3114] * vX_[814] + vX_[3043] * vX_[813] + vX_[3337] * vX_[882] + vX_[1006] * vX_[884] + vX_[1006] * vX_[884] - vX_[623] * x_in[30];
+ vX_[3337] = 0 - vX_[1195];
+ vX_[3114] = 0 - vX_[3414];
+ vX_[748] = 0 - vX_[748] + vX_[716];
+ vX_[716] = 0 - vX_[742];
+ vX_[3644] = 0 - vX_[3644];
+ jac[457] = 0 - (0 - (vX_[1840] * vX_[941] + vX_[2383] * x_in[22]) + (vX_[1110] * vX_[941] + vX_[3056] * vX_[211] + vX_[2383] * x_in[20]) * 0.3735 - (vX_[1791] * vX_[944] + vX_[3185] * x_in[23]) + (vX_[1680] * vX_[944] + vX_[3185] * x_in[19]) * -0.3735 + (vX_[1796] * vX_[944] + (vX_[2830] * vX_[492] + vX_[742] * vX_[545] + vX_[653] * vX_[224] + vX_[2827] * vX_[226] + vX_[1195] * vX_[196] + vX_[3414] * vX_[205] + vX_[419] * vX_[208] + vX_[373] * vX_[225] + vX_[368] * vX_[214] + vX_[3388] * vX_[490] + vX_[742] * vX_[542] + vX_[3416] * vX_[167] + vX_[552] * vX_[497]) * -1 + vX_[3185] * x_in[18]) * -0.207 - (vX_[1110] * vX_[946] + vX_[1680] * vX_[917] + vX_[513] * vX_[669] + vX_[721] * vX_[667] + vX_[1011] * vX_[665] + vX_[3626] * vX_[648] + vX_[3645] * vX_[214] + vX_[1008] * vX_[351] + vX_[1009] * vX_[480] + vX_[3640] * vX_[196] + vX_[3092] * vX_[637] + vX_[3121] * vX_[605] + vX_[688] * vX_[232] + vX_[2411] * vX_[222] + vX_[3020] * vX_[636] + vX_[2907] * vX_[602] + vX_[649] * vX_[601] + vX_[380] * vX_[603] + vX_[3232] * vX_[544] + vX_[3415] * vX_[604] + vX_[3095] * vX_[221] + vX_[1737] * vX_[231] + vX_[3062] * vX_[551] + vX_[1438] * vX_[549] + vX_[3299] * vX_[547] + vX_[2900] * vX_[588] + vX_[2964] * vX_[589] + vX_[2817] * vX_[498] + vX_[1641] * vX_[494] + vX_[2705] * vX_[546] + vX_[3056] * vX_[212] + vX_[976] * x_in[19] + vX_[1006] * x_in[20])) * vX_[3528] + (vX_[1791] * vX_[941] + vX_[1110] * vX_[917] + vX_[513] * vX_[665] + vX_[3626] * vX_[214] + vX_[3598] * vX_[480] + vX_[1008] * vX_[196] + vX_[3121] * vX_[602] + vX_[688] * vX_[222] + vX_[3020] * vX_[637] + vX_[649] * vX_[544] + vX_[380] * vX_[604] + vX_[3095] * vX_[231] + vX_[3062] * vX_[547] + vX_[2900] * vX_[589] + vX_[3390] * vX_[494] + vX_[2817] * vX_[546] + (vX_[2969] * vX_[543] + vX_[3268] * vX_[176] + vX_[2645] * vX_[226] + vX_[363] * vX_[200] + vX_[3354] * vX_[215] + vX_[3337] * vX_[199] + vX_[2527] * vX_[208] + vX_[3114] * vX_[196] + vX_[362] * vX_[214] + vX_[748] * vX_[225] + vX_[2969] * vX_[539] + vX_[716] * vX_[489] + vX_[2645] * vX_[230] + vX_[3354] * vX_[486]) * 0.207 + vX_[2383] * x_in[23] + vX_[976] * x_in[20] + (vX_[1680] * vX_[941] + vX_[3056] * vX_[209] + vX_[2383] * x_in[19]) * 0.3735 + (vX_[1796] * vX_[941] + vX_[2383] * x_in[18]) * 0.207 - (vX_[1840] * vX_[944] + vX_[3185] * x_in[22]) + (vX_[1110] * vX_[944] + vX_[3185] * x_in[20]) * 0.3735 - (vX_[1680] * vX_[946] + vX_[721] * vX_[666] + vX_[1011] * vX_[669] + vX_[3644] * vX_[648] + vX_[1009] * vX_[196] + vX_[3564] * vX_[351] + vX_[3092] * vX_[636] + vX_[2411] * vX_[232] + vX_[2907] * vX_[605] + vX_[3232] * vX_[601] + vX_[3415] * vX_[603] + vX_[1737] * vX_[221] + vX_[1438] * vX_[548] + vX_[3299] * vX_[551] + vX_[360] * vX_[588] + vX_[1641] * vX_[546] + vX_[3113] * vX_[498] + vX_[3056] * vX_[210] + vX_[1006] * x_in[19])) * vX_[989];
+ vX_[1011] = vX_[1979] * -1 + vX_[1919] * 0.207;
+ vX_[721] = vX_[1943] * vX_[125] + vX_[1991] * vX_[893] + vX_[1919] * vX_[891] + vX_[1895] * vX_[892] + vX_[1948] * vX_[126];
+ vX_[513] = vX_[1919] * vX_[197] + vX_[1895] * vX_[211];
+ vX_[363] = vX_[1011] * vX_[148] + vX_[721] * vX_[903] + vX_[513] * vX_[886];
+ vX_[653] = vX_[1011] * vX_[128] + vX_[721] * vX_[148] + vX_[513] * vX_[163];
+ vX_[3056] = vX_[513] * -1;
+ vX_[3268] = vX_[363] * 1 / vX_[145];
+ vX_[2964] = vX_[653] * 1 / vX_[145];
+ vX_[3232] = vX_[3056] * 1 / vX_[145];
+ vX_[649] = vX_[1948] * -1;
+ vX_[2830] = vX_[1011] * 1 / vX_[194];
+ vX_[360] = vX_[1943] * vX_[197] + vX_[1991] * vX_[879] + vX_[1919] * vX_[212] + vX_[1895] * vX_[210] + vX_[1948] * vX_[880];
+ vX_[2900] = vX_[360] * 1 / vX_[194];
+ vX_[3415] = vX_[721] * 1 / vX_[194];
+ vX_[2907] = vX_[649] * 1 / vX_[194];
+ vX_[3121] = vX_[513] * 1 / vX_[194];
+ vX_[380] = vX_[1919] * vX_[211] + vX_[1895] * vX_[209];
+ vX_[3020] = vX_[380] * 1 / vX_[194];
+ vX_[649] = vX_[649] - (vX_[2830] * vX_[206] + vX_[2900] * vX_[168] + vX_[3415] * vX_[158] + vX_[2907] * vX_[194] + vX_[3121] * vX_[220] + vX_[3020] * vX_[229]);
+ vX_[3092] = vX_[649] * vX_[148] + vX_[380] * vX_[157];
+ vX_[2827] = vX_[3092] * 1 / vX_[145];
+ vX_[1737] = vX_[649] * vX_[128] + vX_[380] * vX_[148];
+ vX_[688] = vX_[1737] * 1 / vX_[145];
+ vX_[3056] = vX_[3056] - (vX_[3268] * vX_[152] + vX_[2964] * vX_[143] + vX_[3232] * vX_[145] + vX_[2827] * 2.1e-05 + vX_[688] * -0.000102);
+ vX_[3095] = vX_[363] * vX_[129] + vX_[653] * vX_[131] + vX_[3056] * vX_[130];
+ vX_[2411] = vX_[363] * vX_[131] + vX_[653] * vX_[911] + vX_[3056] * vX_[912];
+ vX_[2705] = vX_[3056] - (vX_[2411] * 38.1956380581338 * 0.110125 + vX_[3095] * 38.1956380581338 * 0.000881 + vX_[3056] * 38.1956380581338 * 0.026181);
+ vX_[3113] = vX_[3095] * 0.881 + (0 - vX_[2705]) * -0.000881;
+ vX_[3390] = vX_[2411] * -0.881;
+ vX_[1641] = vX_[2705] * 0.110125;
+ vX_[1438] = vX_[3390] - vX_[1641];
+ vX_[2817] = vX_[3113] * vX_[907] + vX_[1438] * vX_[899];
+ vX_[3299] = vX_[653] * 3.146 + (0 - vX_[3056]) * 0.0825825;
+ vX_[3062] = vX_[363] * -3.146;
+ vX_[3630] = vX_[3056] * 0.47422804;
+ vX_[1584] = vX_[3062] - vX_[3630];
+ vX_[2456] = vX_[2817] + vX_[3299] * vX_[897] + vX_[1584] * vX_[887];
+ vX_[3351] = vX_[721] * 3.44 + vX_[513] * -0.5824264;
+ vX_[1173] = 0 - vX_[3351];
+ vX_[3252] = vX_[1011] * 3.44 + (0 - vX_[513]) * 0.1466472;
+ vX_[622] = vX_[1011] * vX_[214] + vX_[360] * vX_[196] + vX_[721] * vX_[205] + vX_[513] * vX_[490] + vX_[380] * vX_[542];
+ vX_[390] = vX_[2456] * -1 + vX_[1173] * vX_[813] + vX_[3252] * vX_[884] + vX_[622] * x_in[30];
+ vX_[3411] = vX_[2122] - vX_[1953];
+ vX_[376] = vX_[1989] + vX_[2111];
+ vX_[3312] = vX_[3411] * vX_[211] + vX_[376] * vX_[209];
+ vX_[1740] = vX_[2140] - vX_[1953];
+ vX_[783] = vX_[1740] * vX_[211];
+ vX_[2708] = vX_[3411] * vX_[197] + vX_[376] * vX_[211];
+ vX_[3619] = vX_[1740] * vX_[209];
+ vX_[3116] = vX_[2708] + vX_[3619];
+ vX_[3450] = vX_[3312] * vX_[197] + vX_[783] * vX_[209] + vX_[3116] * vX_[211];
+ vX_[3490] = 0 - vX_[3450];
+ vX_[3628] = vX_[1953] + vX_[2708] * vX_[197] + vX_[783] * vX_[211];
+ vX_[628] = 0 - vX_[3628];
+ vX_[768] = vX_[1953] + vX_[3312] * vX_[211] + vX_[3619] * vX_[209];
+ vX_[501] = vX_[2142] + vX_[2148];
+ vX_[3641] = vX_[1990] + vX_[2068] - vX_[501];
+ vX_[985] = vX_[2132] + vX_[2147];
+ vX_[3050] = 0 - (vX_[1797] + vX_[2006]) + vX_[985];
+ vX_[1599] = (vX_[985] * vX_[197] + vX_[501] * vX_[211]) * -1;
+ vX_[1931] = 0 - (vX_[3641] * vX_[211] + vX_[3050] * vX_[209]) + vX_[1599];
+ vX_[517] = vX_[1931] + vX_[3628] * vX_[198];
+ vX_[846] = 0 - vX_[517];
+ vX_[554] = (vX_[985] * vX_[211] + vX_[501] * vX_[209]) * -1;
+ vX_[336] = vX_[3641] * vX_[197] + vX_[3050] * vX_[211] + vX_[554];
+ vX_[346] = 0 - vX_[768];
+ vX_[345] = vX_[336] + vX_[3450] * vX_[198] + vX_[346] * vX_[127];
+ vX_[337] = vX_[1980] + vX_[2115];
+ vX_[335] = vX_[1861] + vX_[2114];
+ vX_[334] = vX_[337] * vX_[209] + vX_[335] * vX_[211];
+ vX_[281] = vX_[1844] + vX_[2071];
+ vX_[323] = vX_[1996] + vX_[2113];
+ vX_[322] = vX_[281] * vX_[211] + vX_[323] * vX_[209];
+ vX_[321] = vX_[334] * vX_[197] + vX_[322] * vX_[211];
+ vX_[320] = vX_[2020] + vX_[2130];
+ vX_[311] = vX_[2153] + vX_[2150];
+ vX_[261] = 0 - vX_[311];
+ vX_[310] = vX_[320] * vX_[211] + vX_[261] * vX_[209];
+ vX_[309] = 0 - vX_[310];
+ vX_[308] = vX_[321] + vX_[309] * vX_[127] + vX_[628] * vX_[213];
+ vX_[305] = 0 - vX_[308];
+ vX_[304] = vX_[337] * vX_[211] + vX_[335] * vX_[197];
+ vX_[294] = vX_[281] * vX_[197] + vX_[323] * vX_[211];
+ vX_[290] = vX_[304] * vX_[211] + vX_[294] * vX_[209];
+ vX_[311] = 0 - vX_[311];
+ vX_[293] = vX_[320] * vX_[197] + vX_[311] * vX_[211];
+ vX_[292] = 0 - vX_[293];
+ vX_[291] = vX_[290] + vX_[292] * vX_[198] + vX_[768] * vX_[213];
+ vX_[285] = vX_[304] * vX_[197] + vX_[294] * vX_[211];
+ vX_[259] = vX_[285] + vX_[310] * vX_[198];
+ vX_[284] = vX_[334] * vX_[211] + vX_[322] * vX_[209];
+ vX_[282] = vX_[284] + vX_[293] * vX_[127] + vX_[3490] * vX_[213];
+ vX_[272] = 0 - vX_[259] + vX_[282];
+ vX_[280] = 0 - vX_[3450];
+ vX_[277] = 0 - vX_[3628];
+ vX_[628] = vX_[3490] * vX_[545] + vX_[628] * vX_[492] + vX_[768] * vX_[176] + vX_[846] * vX_[214] + vX_[345] * vX_[225] + vX_[305] * vX_[205] + vX_[291] * vX_[199] + vX_[272] * vX_[196] + vX_[3450] * vX_[539] + vX_[280] * vX_[542] + vX_[277] * vX_[491] + vX_[768] * vX_[495];
+ vX_[3490] = 0 - vX_[3113];
+ vX_[276] = vX_[360] * -1 + vX_[649] * -0.08;
+ vX_[275] = vX_[276] + vX_[3092] * -0.35;
+ vX_[271] = vX_[3092] * vX_[131] + vX_[1737] * vX_[137];
+ vX_[270] = vX_[3092] * vX_[129] + vX_[1737] * vX_[131];
+ vX_[264] = vX_[275] * 0.881 + (0 - vX_[271]) * 0.110125 + vX_[270] * -0.000881;
+ vX_[500] = vX_[2411] * -0.00370574557885489 + vX_[3095] * 0.880970354035369;
+ vX_[341] = vX_[3490] * vX_[902] + vX_[264] * vX_[899] + vX_[500] * x_in[32];
+ vX_[1641] = 0 - vX_[3390] + vX_[1641];
+ vX_[3390] = 0 - vX_[264];
+ vX_[326] = vX_[2411] * 0.417781802643138 + vX_[3095] * -0.00370574557885489;
+ vX_[314] = vX_[1641] * vX_[902] + vX_[3390] * vX_[907] - vX_[326] * x_in[32];
+ vX_[3618] = 0 - vX_[3299];
+ vX_[347] = vX_[276] * 3.146 + (0 - vX_[3092]) * 0.47422804 + vX_[1737] * 0.0825825;
+ vX_[338] = vX_[363] * vX_[173] + vX_[653] * vX_[172] + vX_[3092] * vX_[149] + vX_[1737] * vX_[147];
+ vX_[325] = vX_[341] * vX_[131] + vX_[314] * vX_[129] + vX_[3618] * vX_[890] + vX_[347] * vX_[887] + vX_[338] * x_in[31];
+ vX_[3630] = 0 - vX_[3062] + vX_[3630];
+ vX_[3062] = 0 - vX_[347];
+ vX_[313] = vX_[363] * vX_[171] + vX_[653] * vX_[173] + vX_[3092] * vX_[155] + vX_[1737] * vX_[154];
+ vX_[287] = vX_[341] * vX_[911] + vX_[314] * vX_[131] + vX_[3630] * vX_[890] + vX_[3062] * vX_[897] - vX_[313] * x_in[31];
+ vX_[278] = vX_[360] * -3.44;
+ vX_[317] = vX_[649] * 0.1466472;
+ vX_[3625] = vX_[380] * -0.5824264;
+ vX_[3631] = 0 - vX_[278] + vX_[317] - vX_[3625];
+ vX_[3627] = 0 - vX_[3252];
+ vX_[3616] = vX_[1011] * vX_[225] + vX_[360] * vX_[199] + vX_[721] * vX_[196] + vX_[513] * vX_[539] + vX_[380] * vX_[489];
+ vX_[3624] = vX_[325] * vX_[903] + vX_[287] * vX_[148] + vX_[3631] * vX_[813] + vX_[3627] * vX_[882] - vX_[3616] * x_in[30];
+ vX_[3537] = vX_[2122] + vX_[2140] + vX_[1953] - vX_[3628] - vX_[768];
+ vX_[3550] = 0 - vX_[3537];
+ vX_[1599] = vX_[1599] + vX_[3550] * vX_[198];
+ vX_[554] = vX_[554] + vX_[3537] * vX_[127];
+ vX_[3643] = 0 - vX_[345];
+ vX_[3637] = 0 - vX_[291];
+ vX_[3611] = vX_[2152] + vX_[2149] + vX_[335] + vX_[323] - vX_[285] - vX_[284];
+ vX_[282] = vX_[3611] - vX_[282];
+ vX_[3605] = 0 - vX_[310];
+ vX_[3614] = 0 - vX_[3450];
+ vX_[3534] = 0 - vX_[768];
+ vX_[3588] = vX_[2110] - vX_[2036];
+ vX_[3604] = vX_[2117] - vX_[2036];
+ vX_[3629] = vX_[1832] + vX_[2112];
+ vX_[3607] = vX_[1981] + vX_[2120];
+ vX_[3515] = vX_[1865] + vX_[2119];
+ vX_[3553] = 0 - vX_[3515];
+ vX_[3514] = vX_[3588] * vX_[211] + vX_[3629] * vX_[209];
+ vX_[3535] = vX_[3604] * vX_[211];
+ vX_[1536] = vX_[3588] * vX_[197] + vX_[3629] * vX_[211];
+ vX_[469] = vX_[3604] * vX_[209];
+ vX_[3530] = vX_[1536] + vX_[469];
+ vX_[3540] = vX_[275] * -0.000881 + vX_[270] * -0.000227999999999999;
+ vX_[3560] = vX_[275] * 0.110125 + (0 - vX_[271]) * 0.025713;
+ vX_[3561] = (0 - vX_[2411]) * -0.000881;
+ vX_[3541] = (0 - vX_[3095]) * 0.110125;
+ vX_[3538] = vX_[3561] + vX_[3541];
+ vX_[3538] = vX_[3490] * vX_[913] + vX_[1641] * vX_[905] + vX_[3540] * vX_[907] + vX_[3560] * vX_[899] + vX_[3538] * vX_[902] + vX_[3538] * vX_[902];
+ vX_[1641] = vX_[276] * 0.0825825 + (0 - vX_[3056]) * -0.000102 + vX_[3092] * -0.007418 + vX_[1737] * 0.002735;
+ vX_[3490] = vX_[276] * 0.47422804 + vX_[3056] * 2.1e-05 + (0 - vX_[3092]) * 0.084376 + (0 - vX_[1737]) * -0.007418;
+ vX_[3512] = (0 - vX_[363]) * 0.0825825;
+ vX_[715] = (0 - vX_[653]) * 0.47422804;
+ vX_[3556] = vX_[3092] * -0.000102;
+ vX_[3557] = (0 - vX_[1737]) * 2.1e-05;
+ vX_[3533] = vX_[3512] + vX_[715] + vX_[3556] + vX_[3557];
+ vX_[3533] = vX_[3538] + vX_[341] * vX_[912] + vX_[314] * vX_[130] + vX_[3618] * vX_[904] + vX_[3630] * vX_[895] + vX_[1641] * vX_[897] + vX_[3490] * vX_[887] + vX_[3533] * vX_[890] + vX_[3533] * vX_[890];
+ vX_[3630] = vX_[360] * -0.5824264 + (0 - vX_[649]) * 0.022734 + vX_[513] * 3.6e-05 + vX_[380] * -0.133138;
+ vX_[3618] = vX_[360] * 0.1466472 + vX_[649] * 0.009466 + (0 - vX_[513]) * -5.1e-05 + vX_[380] * 0.022734;
+ vX_[3544] = (0 - vX_[1011]) * -0.5824264;
+ vX_[3555] = (0 - vX_[721]) * 0.1466472;
+ vX_[3542] = (0 - vX_[649]) * 3.6e-05;
+ vX_[590] = (0 - vX_[380]) * -5.1e-05;
+ vX_[581] = vX_[3544] + vX_[3555] + vX_[3542] - vX_[590];
+ vX_[1237] = vX_[1011] * vX_[230] + vX_[360] * vX_[489] + vX_[721] * vX_[542] + vX_[513] * vX_[541] + vX_[380] * vX_[193];
+ vX_[581] = vX_[325] * vX_[886] + vX_[287] * vX_[163] + vX_[3533] * -1 + vX_[3351] * vX_[815] + vX_[3627] * vX_[894] + vX_[3630] * vX_[813] + vX_[3618] * vX_[884] + vX_[581] * vX_[882] + vX_[581] * vX_[882] + vX_[1237] * x_in[30];
+ vX_[2705] = vX_[2411] * 0.110125 + vX_[3095] * -0.000881 + vX_[2705] * 0.025941;
+ vX_[270] = vX_[275] * -0.000881 + vX_[270] * 0.000468;
+ vX_[3541] = vX_[3113] * vX_[900] + vX_[3390] * vX_[905] + vX_[3540] * vX_[902] + vX_[2705] * vX_[899] + vX_[3541] * vX_[907] + vX_[3541] * vX_[907] + vX_[270] * x_in[32];
+ vX_[271] = vX_[275] * -0.110125 + vX_[271] * 0.026409;
+ jac[1178] = vX_[326] * vX_[909] + vX_[500] * vX_[913] + vX_[271] * vX_[938] + vX_[270] * vX_[907] + vX_[3538];
+ vX_[271] = vX_[1438] * vX_[900] + vX_[264] * vX_[913] + vX_[3560] * vX_[902] + vX_[2705] * vX_[907] + vX_[3561] * vX_[899] + vX_[3561] * vX_[899] - vX_[271] * x_in[32];
+ vX_[2705] = vX_[363] * 0.47422804 + vX_[653] * 0.0825825 + vX_[3056] * 0.081641 + (0 - vX_[3092]) * 2.1e-05 + vX_[1737] * -0.000102;
+ vX_[3561] = (0 - vX_[3056]) * -0.007418;
+ vX_[3557] = vX_[715] + vX_[3561] - vX_[3557];
+ vX_[715] = vX_[276] * vX_[142] + vX_[363] * vX_[154] + vX_[653] * vX_[147] + vX_[3092] * vX_[188] + vX_[1737] * vX_[184];
+ vX_[3557] = vX_[2817] * -0.35 + vX_[3541] * vX_[131] + vX_[271] * vX_[129] + vX_[3299] * vX_[888] + vX_[3062] * vX_[895] + vX_[1641] * vX_[890] + vX_[2705] * vX_[887] + vX_[3557] * vX_[897] + vX_[3557] * vX_[897] + vX_[715] * x_in[31];
+ vX_[3561] = vX_[3512] - vX_[3561] - vX_[3556];
+ vX_[3556] = vX_[276] * vX_[151] + vX_[363] * vX_[155] + vX_[653] * vX_[149] + vX_[3092] * vX_[182] + vX_[1737] * vX_[188];
+ jac[1142] = vX_[313] * vX_[908] + vX_[338] * vX_[904] + vX_[3556] * vX_[915] + vX_[715] * vX_[897] + vX_[3533];
+ vX_[3556] = vX_[3541] * vX_[137] + vX_[271] * vX_[131] + vX_[1584] * vX_[888] + vX_[347] * vX_[904] + vX_[3490] * vX_[890] + vX_[2705] * vX_[897] + vX_[3561] * vX_[887] + vX_[3561] * vX_[887] - vX_[3556] * x_in[31];
+ vX_[3625] = vX_[278] - vX_[317] + vX_[3625];
+ vX_[317] = vX_[1011] * 0.1466472 + vX_[721] * -0.5824264 + vX_[649] * -5.1e-05 + (0 - vX_[513]) * -0.123672 + (0 - vX_[380]) * 3.6e-05;
+ vX_[278] = vX_[513] * 0.022734;
+ vX_[3542] = vX_[3544] - vX_[3542] - vX_[278];
+ vX_[3544] = vX_[1011] * vX_[167] + vX_[360] * vX_[539] + vX_[721] * vX_[490] + vX_[513] * vX_[488] + vX_[380] * vX_[541];
+ vX_[3542] = vX_[3557] * vX_[157] + vX_[3556] * vX_[148] + vX_[3625] * vX_[815] + vX_[3252] * vX_[814] + vX_[317] * vX_[813] + vX_[3618] * vX_[882] + vX_[3542] * vX_[884] + vX_[3542] * vX_[884] - vX_[3544] * x_in[30];
+ vX_[3618] = 0 - vX_[1599];
+ vX_[3252] = 0 - vX_[554];
+ vX_[3611] = 0 - vX_[3611] + vX_[259];
+ vX_[259] = 0 - vX_[293];
+ vX_[3515] = 0 - vX_[3515];
+ jac[458] = 0 - (0 - (vX_[1991] * vX_[941] + vX_[390] * x_in[22]) + (vX_[1919] * vX_[941] + vX_[628] * vX_[211] + vX_[390] * x_in[20]) * 0.3735 - (vX_[1943] * vX_[944] + vX_[3624] * x_in[23]) + (vX_[1895] * vX_[944] + vX_[3624] * x_in[19]) * -0.3735 + (vX_[1948] * vX_[944] + (vX_[309] * vX_[492] + vX_[293] * vX_[545] + vX_[3537] * vX_[224] + vX_[346] * vX_[226] + vX_[1599] * vX_[196] + vX_[554] * vX_[205] + vX_[3643] * vX_[208] + vX_[3637] * vX_[225] + vX_[282] * vX_[214] + vX_[3605] * vX_[490] + vX_[293] * vX_[542] + vX_[3614] * vX_[167] + vX_[3534] * vX_[497]) * -1 + vX_[3624] * x_in[18]) * -0.207 - (vX_[1919] * vX_[946] + vX_[1895] * vX_[917] + vX_[3588] * vX_[669] + vX_[3604] * vX_[667] + vX_[3629] * vX_[665] + vX_[3607] * vX_[648] + vX_[3553] * vX_[214] + vX_[3514] * vX_[351] + vX_[3535] * vX_[480] + vX_[3530] * vX_[196] + vX_[337] * vX_[637] + vX_[281] * vX_[605] + vX_[985] * vX_[232] + vX_[501] * vX_[222] + vX_[335] * vX_[636] + vX_[323] * vX_[602] + vX_[304] * vX_[601] + vX_[334] * vX_[603] + vX_[294] * vX_[544] + vX_[322] * vX_[604] + vX_[3641] * vX_[221] + vX_[3050] * vX_[231] + vX_[3411] * vX_[551] + vX_[1740] * vX_[549] + vX_[376] * vX_[547] + vX_[320] * vX_[588] + vX_[311] * vX_[589] + vX_[3312] * vX_[498] + vX_[783] * vX_[494] + vX_[3116] * vX_[546] + vX_[628] * vX_[212] + vX_[581] * x_in[19] + vX_[3542] * x_in[20])) * vX_[3528] + (vX_[1943] * vX_[941] + vX_[1919] * vX_[917] + vX_[3588] * vX_[665] + vX_[3607] * vX_[214] + vX_[1536] * vX_[480] + vX_[3514] * vX_[196] + vX_[281] * vX_[602] + vX_[985] * vX_[222] + vX_[335] * vX_[637] + vX_[304] * vX_[544] + vX_[334] * vX_[604] + vX_[3641] * vX_[231] + vX_[3411] * vX_[547] + vX_[320] * vX_[589] + vX_[2708] * vX_[494] + vX_[3312] * vX_[546] + (vX_[310] * vX_[543] + vX_[292] * vX_[176] + vX_[3450] * vX_[226] + vX_[3550] * vX_[200] + vX_[3628] * vX_[215] + vX_[3618] * vX_[199] + vX_[517] * vX_[208] + vX_[3252] * vX_[196] + vX_[308] * vX_[214] + vX_[3611] * vX_[225] + vX_[310] * vX_[539] + vX_[259] * vX_[489] + vX_[3450] * vX_[230] + vX_[3628] * vX_[486]) * 0.207 + vX_[390] * x_in[23] + vX_[581] * x_in[20] + (vX_[1895] * vX_[941] + vX_[628] * vX_[209] + vX_[390] * x_in[19]) * 0.3735 + (vX_[1948] * vX_[941] + vX_[390] * x_in[18]) * 0.207 - (vX_[1991] * vX_[944] + vX_[3624] * x_in[22]) + (vX_[1919] * vX_[944] + vX_[3624] * x_in[20]) * 0.3735 - (vX_[1895] * vX_[946] + vX_[3604] * vX_[666] + vX_[3629] * vX_[669] + vX_[3515] * vX_[648] + vX_[3535] * vX_[196] + vX_[469] * vX_[351] + vX_[337] * vX_[636] + vX_[501] * vX_[232] + vX_[323] * vX_[605] + vX_[294] * vX_[601] + vX_[322] * vX_[603] + vX_[3050] * vX_[221] + vX_[1740] * vX_[548] + vX_[376] * vX_[551] + vX_[261] * vX_[588] + vX_[783] * vX_[546] + vX_[3619] * vX_[498] + vX_[628] * vX_[210] + vX_[3542] * x_in[19])) * vX_[989];
+ vX_[3629] = vX_[2164] * -1 + vX_[2162] * 0.207;
+ vX_[3604] = vX_[2067] * vX_[125] + vX_[2045] * vX_[893] + vX_[2162] * vX_[891] + vX_[2146] * vX_[892] + vX_[2187] * vX_[126];
+ vX_[3588] = vX_[2162] * vX_[197] + vX_[2146] * vX_[211];
+ vX_[3550] = vX_[3629] * vX_[148] + vX_[3604] * vX_[903] + vX_[3588] * vX_[886];
+ vX_[3537] = vX_[3629] * vX_[128] + vX_[3604] * vX_[148] + vX_[3588] * vX_[163];
+ vX_[628] = vX_[3588] * -1;
+ vX_[292] = vX_[3550] * 1 / vX_[145];
+ vX_[311] = vX_[3537] * 1 / vX_[145];
+ vX_[294] = vX_[628] * 1 / vX_[145];
+ vX_[304] = vX_[2187] * -1;
+ vX_[309] = vX_[3629] * 1 / vX_[194];
+ vX_[261] = vX_[2067] * vX_[197] + vX_[2045] * vX_[879] + vX_[2162] * vX_[212] + vX_[2146] * vX_[210] + vX_[2187] * vX_[880];
+ vX_[320] = vX_[261] * 1 / vX_[194];
+ vX_[322] = vX_[3604] * 1 / vX_[194];
+ vX_[323] = vX_[304] * 1 / vX_[194];
+ vX_[281] = vX_[3588] * 1 / vX_[194];
+ vX_[334] = vX_[2162] * vX_[211] + vX_[2146] * vX_[209];
+ vX_[335] = vX_[334] * 1 / vX_[194];
+ vX_[304] = vX_[304] - (vX_[309] * vX_[206] + vX_[320] * vX_[168] + vX_[322] * vX_[158] + vX_[323] * vX_[194] + vX_[281] * vX_[220] + vX_[335] * vX_[229]);
+ vX_[337] = vX_[304] * vX_[148] + vX_[334] * vX_[157];
+ vX_[346] = vX_[337] * 1 / vX_[145];
+ vX_[3050] = vX_[304] * vX_[128] + vX_[334] * vX_[148];
+ vX_[985] = vX_[3050] * 1 / vX_[145];
+ vX_[628] = vX_[628] - (vX_[292] * vX_[152] + vX_[311] * vX_[143] + vX_[294] * vX_[145] + vX_[346] * 2.1e-05 + vX_[985] * -0.000102);
+ vX_[3641] = vX_[3550] * vX_[129] + vX_[3537] * vX_[131] + vX_[628] * vX_[130];
+ vX_[501] = vX_[3550] * vX_[131] + vX_[3537] * vX_[911] + vX_[628] * vX_[912];
+ vX_[3116] = vX_[628] - (vX_[501] * 38.1956380581338 * 0.110125 + vX_[3641] * 38.1956380581338 * 0.000881 + vX_[628] * 38.1956380581338 * 0.026181);
+ vX_[3619] = vX_[3641] * 0.881 + (0 - vX_[3116]) * -0.000881;
+ vX_[2708] = vX_[501] * -0.881;
+ vX_[783] = vX_[3116] * 0.110125;
+ vX_[1740] = vX_[2708] - vX_[783];
+ vX_[3312] = vX_[3619] * vX_[907] + vX_[1740] * vX_[899];
+ vX_[376] = vX_[3537] * 3.146 + (0 - vX_[628]) * 0.0825825;
+ vX_[3411] = vX_[3550] * -3.146;
+ vX_[3561] = vX_[628] * 0.47422804;
+ vX_[2705] = vX_[3411] - vX_[3561];
+ vX_[3490] = vX_[3312] + vX_[376] * vX_[897] + vX_[2705] * vX_[887];
+ vX_[347] = vX_[3604] * 3.44 + vX_[3588] * -0.5824264;
+ vX_[1584] = 0 - vX_[347];
+ vX_[715] = vX_[3629] * 3.44 + (0 - vX_[3588]) * 0.1466472;
+ vX_[3533] = vX_[3629] * vX_[214] + vX_[261] * vX_[196] + vX_[3604] * vX_[205] + vX_[3588] * vX_[490] + vX_[334] * vX_[542];
+ vX_[313] = vX_[3490] * -1 + vX_[1584] * vX_[813] + vX_[715] * vX_[884] + vX_[3533] * x_in[30];
+ vX_[338] = vX_[2260] - vX_[2193];
+ vX_[3512] = vX_[2163] + vX_[2249];
+ vX_[1641] = vX_[338] * vX_[211] + vX_[3512] * vX_[209];
+ vX_[3062] = vX_[2278] - vX_[2193];
+ vX_[3299] = vX_[3062] * vX_[211];
+ vX_[2817] = vX_[338] * vX_[197] + vX_[3512] * vX_[211];
+ vX_[3560] = vX_[3062] * vX_[209];
+ vX_[264] = vX_[2817] + vX_[3560];
+ vX_[1438] = vX_[1641] * vX_[197] + vX_[3299] * vX_[209] + vX_[264] * vX_[211];
+ vX_[270] = 0 - vX_[1438];
+ vX_[3538] = vX_[2193] + vX_[2817] * vX_[197] + vX_[3299] * vX_[211];
+ vX_[326] = 0 - vX_[3538];
+ vX_[500] = vX_[2193] + vX_[1641] * vX_[211] + vX_[3560] * vX_[209];
+ vX_[275] = vX_[2280] + vX_[2286];
+ vX_[3540] = vX_[2160] + vX_[2139] - vX_[275];
+ vX_[3390] = vX_[2270] + vX_[2285];
+ vX_[3113] = 0 - (vX_[2158] + vX_[2138]) + vX_[3390];
+ vX_[2411] = (vX_[3390] * vX_[197] + vX_[275] * vX_[211]) * -1;
+ vX_[3095] = 0 - (vX_[3540] * vX_[211] + vX_[3113] * vX_[209]) + vX_[2411];
+ vX_[3627] = vX_[3095] + vX_[3538] * vX_[198];
+ vX_[1164] = 0 - vX_[3627];
+ vX_[1175] = (vX_[3390] * vX_[211] + vX_[275] * vX_[209]) * -1;
+ vX_[512] = vX_[3540] * vX_[197] + vX_[3113] * vX_[211] + vX_[1175];
+ vX_[3492] = 0 - vX_[500];
+ vX_[3518] = vX_[512] + vX_[1438] * vX_[198] + vX_[3492] * vX_[127];
+ vX_[3543] = vX_[2161] + vX_[2253];
+ vX_[3521] = vX_[2118] + vX_[2252];
+ vX_[619] = vX_[3543] * vX_[209] + vX_[3521] * vX_[211];
+ vX_[3420] = vX_[2144] + vX_[1995];
+ vX_[572] = vX_[1955] + vX_[2251];
+ vX_[459] = vX_[3420] * vX_[211] + vX_[572] * vX_[209];
+ vX_[2007] = vX_[619] * vX_[197] + vX_[459] * vX_[211];
+ vX_[1109] = vX_[2168] + vX_[2268];
+ vX_[515] = vX_[2291] + vX_[2288];
+ vX_[463] = 0 - vX_[515];
+ vX_[3501] = vX_[1109] * vX_[211] + vX_[463] * vX_[209];
+ vX_[3476] = 0 - vX_[3501];
+ vX_[462] = vX_[2007] + vX_[3476] * vX_[127] + vX_[326] * vX_[213];
+ vX_[468] = 0 - vX_[462];
+ vX_[621] = vX_[3543] * vX_[211] + vX_[3521] * vX_[197];
+ vX_[691] = vX_[3420] * vX_[197] + vX_[572] * vX_[211];
+ vX_[3473] = vX_[621] * vX_[211] + vX_[691] * vX_[209];
+ vX_[515] = 0 - vX_[515];
+ vX_[3432] = vX_[1109] * vX_[197] + vX_[515] * vX_[211];
+ vX_[516] = 0 - vX_[3432];
+ vX_[405] = vX_[3473] + vX_[516] * vX_[198] + vX_[500] * vX_[213];
+ vX_[3454] = vX_[621] * vX_[197] + vX_[691] * vX_[211];
+ vX_[443] = vX_[3454] + vX_[3501] * vX_[198];
+ vX_[1294] = vX_[619] * vX_[211] + vX_[459] * vX_[209];
+ vX_[1293] = vX_[1294] + vX_[3432] * vX_[127] + vX_[270] * vX_[213];
+ vX_[1545] = 0 - vX_[443] + vX_[1293];
+ vX_[1630] = 0 - vX_[1438];
+ vX_[1557] = 0 - vX_[3538];
+ vX_[326] = vX_[270] * vX_[545] + vX_[326] * vX_[492] + vX_[500] * vX_[176] + vX_[1164] * vX_[214] + vX_[3518] * vX_[225] + vX_[468] * vX_[205] + vX_[405] * vX_[199] + vX_[1545] * vX_[196] + vX_[1438] * vX_[539] + vX_[1630] * vX_[542] + vX_[1557] * vX_[491] + vX_[500] * vX_[495];
+ vX_[270] = 0 - vX_[3619];
+ vX_[760] = vX_[261] * -1 + vX_[304] * -0.08;
+ vX_[677] = vX_[760] + vX_[337] * -0.35;
+ vX_[571] = vX_[337] * vX_[131] + vX_[3050] * vX_[137];
+ vX_[460] = vX_[337] * vX_[129] + vX_[3050] * vX_[131];
+ vX_[577] = vX_[677] * 0.881 + (0 - vX_[571]) * 0.110125 + vX_[460] * -0.000881;
+ vX_[1035] = vX_[501] * -0.00370574557885489 + vX_[3641] * 0.880970354035369;
+ vX_[995] = vX_[270] * vX_[902] + vX_[577] * vX_[899] + vX_[1035] * x_in[32];
+ vX_[783] = 0 - vX_[2708] + vX_[783];
+ vX_[2708] = 0 - vX_[577];
+ vX_[793] = vX_[501] * 0.417781802643138 + vX_[3641] * -0.00370574557885489;
+ vX_[1098] = vX_[783] * vX_[902] + vX_[2708] * vX_[907] - vX_[793] * x_in[32];
+ vX_[2245] = 0 - vX_[376];
+ vX_[1470] = vX_[760] * 3.146 + (0 - vX_[337]) * 0.47422804 + vX_[3050] * 0.0825825;
+ vX_[1069] = vX_[3550] * vX_[173] + vX_[3537] * vX_[172] + vX_[337] * vX_[149] + vX_[3050] * vX_[147];
+ vX_[1032] = vX_[995] * vX_[131] + vX_[1098] * vX_[129] + vX_[2245] * vX_[890] + vX_[1470] * vX_[887] + vX_[1069] * x_in[31];
+ vX_[3561] = 0 - vX_[3411] + vX_[3561];
+ vX_[3411] = 0 - vX_[1470];
+ vX_[3446] = vX_[3550] * vX_[171] + vX_[3537] * vX_[173] + vX_[337] * vX_[155] + vX_[3050] * vX_[154];
+ vX_[3455] = vX_[995] * vX_[911] + vX_[1098] * vX_[131] + vX_[3561] * vX_[890] + vX_[3411] * vX_[897] - vX_[3446] * x_in[31];
+ vX_[1104] = vX_[261] * -3.44;
+ vX_[1075] = vX_[304] * 0.1466472;
+ vX_[1152] = vX_[334] * -0.5824264;
+ vX_[1362] = 0 - vX_[1104] + vX_[1075] - vX_[1152];
+ vX_[3484] = 0 - vX_[715];
+ vX_[3389] = vX_[3629] * vX_[225] + vX_[261] * vX_[199] + vX_[3604] * vX_[196] + vX_[3588] * vX_[539] + vX_[334] * vX_[489];
+ vX_[1107] = vX_[1032] * vX_[903] + vX_[3455] * vX_[148] + vX_[1362] * vX_[813] + vX_[3484] * vX_[882] - vX_[3389] * x_in[30];
+ vX_[777] = vX_[2260] + vX_[2278] + vX_[2193] - vX_[3538] - vX_[500];
+ vX_[3485] = 0 - vX_[777];
+ vX_[2411] = vX_[2411] + vX_[3485] * vX_[198];
+ vX_[1175] = vX_[1175] + vX_[777] * vX_[127];
+ vX_[1021] = 0 - vX_[3518];
+ vX_[1706] = 0 - vX_[405];
+ vX_[1731] = vX_[2290] + vX_[2287] + vX_[3521] + vX_[572] - vX_[3454] - vX_[1294];
+ vX_[1293] = vX_[1731] - vX_[1293];
+ vX_[1790] = 0 - vX_[3501];
+ vX_[1772] = 0 - vX_[1438];
+ vX_[1900] = 0 - vX_[500];
+ vX_[1493] = vX_[2248] - vX_[1949];
+ vX_[1151] = vX_[2255] - vX_[1949];
+ vX_[1238] = vX_[2137] + vX_[2250];
+ vX_[770] = vX_[2143] + vX_[2258];
+ vX_[1163] = vX_[2127] + vX_[2257];
+ vX_[1436] = 0 - vX_[1163];
+ vX_[1131] = vX_[1493] * vX_[211] + vX_[1238] * vX_[209];
+ vX_[1405] = vX_[1151] * vX_[211];
+ vX_[1415] = vX_[1493] * vX_[197] + vX_[1238] * vX_[211];
+ vX_[2939] = vX_[1151] * vX_[209];
+ vX_[1876] = vX_[1415] + vX_[2939];
+ vX_[1413] = vX_[677] * -0.000881 + vX_[460] * -0.000227999999999999;
+ vX_[1499] = vX_[677] * 0.110125 + (0 - vX_[571]) * 0.025713;
+ vX_[1282] = (0 - vX_[501]) * -0.000881;
+ vX_[1317] = (0 - vX_[3641]) * 0.110125;
+ vX_[1414] = vX_[1282] + vX_[1317];
+ vX_[1414] = vX_[270] * vX_[913] + vX_[783] * vX_[905] + vX_[1413] * vX_[907] + vX_[1499] * vX_[899] + vX_[1414] * vX_[902] + vX_[1414] * vX_[902];
+ vX_[783] = vX_[760] * 0.0825825 + (0 - vX_[628]) * -0.000102 + vX_[337] * -0.007418 + vX_[3050] * 0.002735;
+ vX_[270] = vX_[760] * 0.47422804 + vX_[628] * 2.1e-05 + (0 - vX_[337]) * 0.084376 + (0 - vX_[3050]) * -0.007418;
+ vX_[1437] = (0 - vX_[3550]) * 0.0825825;
+ vX_[1328] = (0 - vX_[3537]) * 0.47422804;
+ vX_[1677] = vX_[337] * -0.000102;
+ vX_[1334] = (0 - vX_[3050]) * 2.1e-05;
+ vX_[1367] = vX_[1437] + vX_[1328] + vX_[1677] + vX_[1334];
+ vX_[1367] = vX_[1414] + vX_[995] * vX_[912] + vX_[1098] * vX_[130] + vX_[2245] * vX_[904] + vX_[3561] * vX_[895] + vX_[783] * vX_[897] + vX_[270] * vX_[887] + vX_[1367] * vX_[890] + vX_[1367] * vX_[890];
+ vX_[3561] = vX_[261] * -0.5824264 + (0 - vX_[304]) * 0.022734 + vX_[3588] * 3.6e-05 + vX_[334] * -0.133138;
+ vX_[2245] = vX_[261] * 0.1466472 + vX_[304] * 0.009466 + (0 - vX_[3588]) * -5.1e-05 + vX_[334] * 0.022734;
+ vX_[1189] = (0 - vX_[3629]) * -0.5824264;
+ vX_[1197] = (0 - vX_[3604]) * 0.1466472;
+ vX_[1263] = (0 - vX_[304]) * 3.6e-05;
+ vX_[1288] = (0 - vX_[334]) * -5.1e-05;
+ vX_[1887] = vX_[1189] + vX_[1197] + vX_[1263] - vX_[1288];
+ vX_[2035] = vX_[3629] * vX_[230] + vX_[261] * vX_[489] + vX_[3604] * vX_[542] + vX_[3588] * vX_[541] + vX_[334] * vX_[193];
+ vX_[1887] = vX_[1032] * vX_[886] + vX_[3455] * vX_[163] + vX_[1367] * -1 + vX_[347] * vX_[815] + vX_[3484] * vX_[894] + vX_[3561] * vX_[813] + vX_[2245] * vX_[884] + vX_[1887] * vX_[882] + vX_[1887] * vX_[882] + vX_[2035] * x_in[30];
+ vX_[3116] = vX_[501] * 0.110125 + vX_[3641] * -0.000881 + vX_[3116] * 0.025941;
+ vX_[460] = vX_[677] * -0.000881 + vX_[460] * 0.000468;
+ vX_[1317] = vX_[3619] * vX_[900] + vX_[2708] * vX_[905] + vX_[1413] * vX_[902] + vX_[3116] * vX_[899] + vX_[1317] * vX_[907] + vX_[1317] * vX_[907] + vX_[460] * x_in[32];
+ vX_[571] = vX_[677] * -0.110125 + vX_[571] * 0.026409;
+ jac[1179] = vX_[793] * vX_[909] + vX_[1035] * vX_[913] + vX_[571] * vX_[938] + vX_[460] * vX_[907] + vX_[1414];
+ vX_[571] = vX_[1740] * vX_[900] + vX_[577] * vX_[913] + vX_[1499] * vX_[902] + vX_[3116] * vX_[907] + vX_[1282] * vX_[899] + vX_[1282] * vX_[899] - vX_[571] * x_in[32];
+ vX_[3116] = vX_[3550] * 0.47422804 + vX_[3537] * 0.0825825 + vX_[628] * 0.081641 + (0 - vX_[337]) * 2.1e-05 + vX_[3050] * -0.000102;
+ vX_[1282] = (0 - vX_[628]) * -0.007418;
+ vX_[1334] = vX_[1328] + vX_[1282] - vX_[1334];
+ vX_[1328] = vX_[760] * vX_[142] + vX_[3550] * vX_[154] + vX_[3537] * vX_[147] + vX_[337] * vX_[188] + vX_[3050] * vX_[184];
+ vX_[1334] = vX_[3312] * -0.35 + vX_[1317] * vX_[131] + vX_[571] * vX_[129] + vX_[376] * vX_[888] + vX_[3411] * vX_[895] + vX_[783] * vX_[890] + vX_[3116] * vX_[887] + vX_[1334] * vX_[897] + vX_[1334] * vX_[897] + vX_[1328] * x_in[31];
+ vX_[1282] = vX_[1437] - vX_[1282] - vX_[1677];
+ vX_[1677] = vX_[760] * vX_[151] + vX_[3550] * vX_[155] + vX_[3537] * vX_[149] + vX_[337] * vX_[182] + vX_[3050] * vX_[188];
+ jac[1143] = vX_[3446] * vX_[908] + vX_[1069] * vX_[904] + vX_[1677] * vX_[915] + vX_[1328] * vX_[897] + vX_[1367];
+ vX_[1677] = vX_[1317] * vX_[137] + vX_[571] * vX_[131] + vX_[2705] * vX_[888] + vX_[1470] * vX_[904] + vX_[270] * vX_[890] + vX_[3116] * vX_[897] + vX_[1282] * vX_[887] + vX_[1282] * vX_[887] - vX_[1677] * x_in[31];
+ vX_[1152] = vX_[1104] - vX_[1075] + vX_[1152];
+ vX_[1075] = vX_[3629] * 0.1466472 + vX_[3604] * -0.5824264 + vX_[304] * -5.1e-05 + (0 - vX_[3588]) * -0.123672 + (0 - vX_[334]) * 3.6e-05;
+ vX_[1104] = vX_[3588] * 0.022734;
+ vX_[1263] = vX_[1189] - vX_[1263] - vX_[1104];
+ vX_[1189] = vX_[3629] * vX_[167] + vX_[261] * vX_[539] + vX_[3604] * vX_[490] + vX_[3588] * vX_[488] + vX_[334] * vX_[541];
+ vX_[1263] = vX_[1334] * vX_[157] + vX_[1677] * vX_[148] + vX_[1152] * vX_[815] + vX_[715] * vX_[814] + vX_[1075] * vX_[813] + vX_[2245] * vX_[882] + vX_[1263] * vX_[884] + vX_[1263] * vX_[884] - vX_[1189] * x_in[30];
+ vX_[2245] = 0 - vX_[2411];
+ vX_[715] = 0 - vX_[1175];
+ vX_[1731] = 0 - vX_[1731] + vX_[443];
+ vX_[443] = 0 - vX_[3432];
+ vX_[1163] = 0 - vX_[1163];
+ jac[459] = 0 - (0 - (vX_[2045] * vX_[941] + vX_[313] * x_in[22]) + (vX_[2162] * vX_[941] + vX_[326] * vX_[211] + vX_[313] * x_in[20]) * 0.3735 - (vX_[2067] * vX_[944] + vX_[1107] * x_in[23]) + (vX_[2146] * vX_[944] + vX_[1107] * x_in[19]) * -0.3735 + (vX_[2187] * vX_[944] + (vX_[3476] * vX_[492] + vX_[3432] * vX_[545] + vX_[777] * vX_[224] + vX_[3492] * vX_[226] + vX_[2411] * vX_[196] + vX_[1175] * vX_[205] + vX_[1021] * vX_[208] + vX_[1706] * vX_[225] + vX_[1293] * vX_[214] + vX_[1790] * vX_[490] + vX_[3432] * vX_[542] + vX_[1772] * vX_[167] + vX_[1900] * vX_[497]) * -1 + vX_[1107] * x_in[18]) * -0.207 - (vX_[2162] * vX_[946] + vX_[2146] * vX_[917] + vX_[1493] * vX_[669] + vX_[1151] * vX_[667] + vX_[1238] * vX_[665] + vX_[770] * vX_[648] + vX_[1436] * vX_[214] + vX_[1131] * vX_[351] + vX_[1405] * vX_[480] + vX_[1876] * vX_[196] + vX_[3543] * vX_[637] + vX_[3420] * vX_[605] + vX_[3390] * vX_[232] + vX_[275] * vX_[222] + vX_[3521] * vX_[636] + vX_[572] * vX_[602] + vX_[621] * vX_[601] + vX_[619] * vX_[603] + vX_[691] * vX_[544] + vX_[459] * vX_[604] + vX_[3540] * vX_[221] + vX_[3113] * vX_[231] + vX_[338] * vX_[551] + vX_[3062] * vX_[549] + vX_[3512] * vX_[547] + vX_[1109] * vX_[588] + vX_[515] * vX_[589] + vX_[1641] * vX_[498] + vX_[3299] * vX_[494] + vX_[264] * vX_[546] + vX_[326] * vX_[212] + vX_[1887] * x_in[19] + vX_[1263] * x_in[20])) * vX_[3528] + (vX_[2067] * vX_[941] + vX_[2162] * vX_[917] + vX_[1493] * vX_[665] + vX_[770] * vX_[214] + vX_[1415] * vX_[480] + vX_[1131] * vX_[196] + vX_[3420] * vX_[602] + vX_[3390] * vX_[222] + vX_[3521] * vX_[637] + vX_[621] * vX_[544] + vX_[619] * vX_[604] + vX_[3540] * vX_[231] + vX_[338] * vX_[547] + vX_[1109] * vX_[589] + vX_[2817] * vX_[494] + vX_[1641] * vX_[546] + (vX_[3501] * vX_[543] + vX_[516] * vX_[176] + vX_[1438] * vX_[226] + vX_[3485] * vX_[200] + vX_[3538] * vX_[215] + vX_[2245] * vX_[199] + vX_[3627] * vX_[208] + vX_[715] * vX_[196] + vX_[462] * vX_[214] + vX_[1731] * vX_[225] + vX_[3501] * vX_[539] + vX_[443] * vX_[489] + vX_[1438] * vX_[230] + vX_[3538] * vX_[486]) * 0.207 + vX_[313] * x_in[23] + vX_[1887] * x_in[20] + (vX_[2146] * vX_[941] + vX_[326] * vX_[209] + vX_[313] * x_in[19]) * 0.3735 + (vX_[2187] * vX_[941] + vX_[313] * x_in[18]) * 0.207 - (vX_[2045] * vX_[944] + vX_[1107] * x_in[22]) + (vX_[2162] * vX_[944] + vX_[1107] * x_in[20]) * 0.3735 - (vX_[2146] * vX_[946] + vX_[1151] * vX_[666] + vX_[1238] * vX_[669] + vX_[1163] * vX_[648] + vX_[1405] * vX_[196] + vX_[2939] * vX_[351] + vX_[3543] * vX_[636] + vX_[275] * vX_[232] + vX_[572] * vX_[605] + vX_[691] * vX_[601] + vX_[459] * vX_[603] + vX_[3113] * vX_[221] + vX_[3062] * vX_[548] + vX_[3512] * vX_[551] + vX_[463] * vX_[588] + vX_[3299] * vX_[546] + vX_[3560] * vX_[498] + vX_[326] * vX_[210] + vX_[1263] * x_in[19])) * vX_[989];
+ vX_[1238] = vX_[2265] * -1 + vX_[1993] * 0.207;
+ vX_[1151] = vX_[2241] * vX_[125] + vX_[2277] * vX_[893] + vX_[1993] * vX_[891] + vX_[2128] * vX_[892] + vX_[2230] * vX_[126];
+ vX_[1493] = vX_[1993] * vX_[197] + vX_[2128] * vX_[211];
+ vX_[3485] = vX_[1238] * vX_[148] + vX_[1151] * vX_[903] + vX_[1493] * vX_[886];
+ vX_[777] = vX_[1238] * vX_[128] + vX_[1151] * vX_[148] + vX_[1493] * vX_[163];
+ vX_[326] = vX_[1493] * -1;
+ vX_[516] = vX_[3485] * 1 / vX_[145];
+ vX_[515] = vX_[777] * 1 / vX_[145];
+ vX_[691] = vX_[326] * 1 / vX_[145];
+ vX_[621] = vX_[2230] * -1;
+ vX_[3476] = vX_[1238] * 1 / vX_[194];
+ vX_[463] = vX_[2241] * vX_[197] + vX_[2277] * vX_[879] + vX_[1993] * vX_[212] + vX_[2128] * vX_[210] + vX_[2230] * vX_[880];
+ vX_[1109] = vX_[463] * 1 / vX_[194];
+ vX_[459] = vX_[1151] * 1 / vX_[194];
+ vX_[572] = vX_[621] * 1 / vX_[194];
+ vX_[3420] = vX_[1493] * 1 / vX_[194];
+ vX_[619] = vX_[1993] * vX_[211] + vX_[2128] * vX_[209];
+ vX_[3521] = vX_[619] * 1 / vX_[194];
+ vX_[621] = vX_[621] - (vX_[3476] * vX_[206] + vX_[1109] * vX_[168] + vX_[459] * vX_[158] + vX_[572] * vX_[194] + vX_[3420] * vX_[220] + vX_[3521] * vX_[229]);
+ vX_[3543] = vX_[621] * vX_[148] + vX_[619] * vX_[157];
+ vX_[3492] = vX_[3543] * 1 / vX_[145];
+ vX_[3113] = vX_[621] * vX_[128] + vX_[619] * vX_[148];
+ vX_[3390] = vX_[3113] * 1 / vX_[145];
+ vX_[326] = vX_[326] - (vX_[516] * vX_[152] + vX_[515] * vX_[143] + vX_[691] * vX_[145] + vX_[3492] * 2.1e-05 + vX_[3390] * -0.000102);
+ vX_[3540] = vX_[3485] * vX_[129] + vX_[777] * vX_[131] + vX_[326] * vX_[130];
+ vX_[275] = vX_[3485] * vX_[131] + vX_[777] * vX_[911] + vX_[326] * vX_[912];
+ vX_[264] = vX_[326] - (vX_[275] * 38.1956380581338 * 0.110125 + vX_[3540] * 38.1956380581338 * 0.000881 + vX_[326] * 38.1956380581338 * 0.026181);
+ vX_[3560] = vX_[3540] * 0.881 + (0 - vX_[264]) * -0.000881;
+ vX_[2817] = vX_[275] * -0.881;
+ vX_[3299] = vX_[264] * 0.110125;
+ vX_[3062] = vX_[2817] - vX_[3299];
+ vX_[1641] = vX_[3560] * vX_[907] + vX_[3062] * vX_[899];
+ vX_[3512] = vX_[777] * 3.146 + (0 - vX_[326]) * 0.0825825;
+ vX_[338] = vX_[3485] * -3.146;
+ vX_[1282] = vX_[326] * 0.47422804;
+ vX_[3116] = vX_[338] - vX_[1282];
+ vX_[270] = vX_[1641] + vX_[3512] * vX_[897] + vX_[3116] * vX_[887];
+ vX_[1470] = vX_[1151] * 3.44 + vX_[1493] * -0.5824264;
+ vX_[2705] = 0 - vX_[1470];
+ vX_[1328] = vX_[1238] * 3.44 + (0 - vX_[1493]) * 0.1466472;
+ vX_[1367] = vX_[1238] * vX_[214] + vX_[463] * vX_[196] + vX_[1151] * vX_[205] + vX_[1493] * vX_[490] + vX_[619] * vX_[542];
+ vX_[3446] = vX_[270] * -1 + vX_[2705] * vX_[813] + vX_[1328] * vX_[884] + vX_[1367] * x_in[30];
+ vX_[1069] = vX_[2412] - vX_[2317];
+ vX_[1437] = vX_[2275] + vX_[2401];
+ vX_[783] = vX_[1069] * vX_[211] + vX_[1437] * vX_[209];
+ vX_[3411] = vX_[2430] - vX_[2317];
+ vX_[376] = vX_[3411] * vX_[211];
+ vX_[3312] = vX_[1069] * vX_[197] + vX_[1437] * vX_[211];
+ vX_[1499] = vX_[3411] * vX_[209];
+ vX_[577] = vX_[3312] + vX_[1499];
+ vX_[1740] = vX_[783] * vX_[197] + vX_[376] * vX_[209] + vX_[577] * vX_[211];
+ vX_[460] = 0 - vX_[1740];
+ vX_[1414] = vX_[2317] + vX_[3312] * vX_[197] + vX_[376] * vX_[211];
+ vX_[793] = 0 - vX_[1414];
+ vX_[1035] = vX_[2317] + vX_[783] * vX_[211] + vX_[1499] * vX_[209];
+ vX_[677] = vX_[2432] + vX_[2438];
+ vX_[1413] = vX_[2276] + vX_[2353] - vX_[677];
+ vX_[2708] = vX_[2422] + vX_[2437];
+ vX_[3619] = 0 - (vX_[2091] + vX_[2357]) + vX_[2708];
+ vX_[501] = (vX_[2708] * vX_[197] + vX_[677] * vX_[211]) * -1;
+ vX_[3641] = 0 - (vX_[1413] * vX_[211] + vX_[3619] * vX_[209]) + vX_[501];
+ vX_[3484] = vX_[3641] + vX_[1414] * vX_[198];
+ vX_[2273] = 0 - vX_[3484];
+ vX_[2283] = (vX_[2708] * vX_[211] + vX_[677] * vX_[209]) * -1;
+ vX_[2313] = vX_[1413] * vX_[197] + vX_[3619] * vX_[211] + vX_[2283];
+ vX_[1902] = 0 - vX_[1035];
+ vX_[1579] = vX_[2313] + vX_[1740] * vX_[198] + vX_[1902] * vX_[127];
+ vX_[1555] = vX_[2266] + vX_[2405];
+ vX_[1383] = vX_[2331] + vX_[2404];
+ vX_[1575] = vX_[1555] * vX_[209] + vX_[1383] * vX_[211];
+ vX_[1866] = vX_[2229] + vX_[2235];
+ vX_[1712] = vX_[2282] + vX_[2403];
+ vX_[2021] = vX_[1866] * vX_[211] + vX_[1712] * vX_[209];
+ vX_[1826] = vX_[1575] * vX_[197] + vX_[2021] * vX_[211];
+ vX_[2423] = vX_[2294] + vX_[2420];
+ vX_[2125] = vX_[2443] + vX_[2440];
+ vX_[1835] = 0 - vX_[2125];
+ vX_[1908] = vX_[2423] * vX_[211] + vX_[1835] * vX_[209];
+ vX_[1710] = 0 - vX_[1908];
+ vX_[1764] = vX_[1826] + vX_[1710] * vX_[127] + vX_[793] * vX_[213];
+ vX_[1825] = 0 - vX_[1764];
+ vX_[1846] = vX_[1555] * vX_[211] + vX_[1383] * vX_[197];
+ vX_[1864] = vX_[1866] * vX_[197] + vX_[1712] * vX_[211];
+ vX_[2465] = vX_[1846] * vX_[211] + vX_[1864] * vX_[209];
+ vX_[2125] = 0 - vX_[2125];
+ vX_[1760] = vX_[2423] * vX_[197] + vX_[2125] * vX_[211];
+ vX_[1244] = 0 - vX_[1760];
+ vX_[1638] = vX_[2465] + vX_[1244] * vX_[198] + vX_[1035] * vX_[213];
+ vX_[1768] = vX_[1846] * vX_[197] + vX_[1864] * vX_[211];
+ vX_[1727] = vX_[1768] + vX_[1908] * vX_[198];
+ vX_[1637] = vX_[1575] * vX_[211] + vX_[2021] * vX_[209];
+ vX_[2205] = vX_[1637] + vX_[1760] * vX_[127] + vX_[460] * vX_[213];
+ vX_[2453] = 0 - vX_[1727] + vX_[2205];
+ vX_[2541] = 0 - vX_[1740];
+ vX_[2532] = 0 - vX_[1414];
+ vX_[793] = vX_[460] * vX_[545] + vX_[793] * vX_[492] + vX_[1035] * vX_[176] + vX_[2273] * vX_[214] + vX_[1579] * vX_[225] + vX_[1825] * vX_[205] + vX_[1638] * vX_[199] + vX_[2453] * vX_[196] + vX_[1740] * vX_[539] + vX_[2541] * vX_[542] + vX_[2532] * vX_[491] + vX_[1035] * vX_[495];
+ vX_[460] = 0 - vX_[3560];
+ vX_[2622] = vX_[463] * -1 + vX_[621] * -0.08;
+ vX_[2207] = vX_[2622] + vX_[3543] * -0.35;
+ vX_[1976] = vX_[3543] * vX_[131] + vX_[3113] * vX_[137];
+ vX_[2057] = vX_[3543] * vX_[129] + vX_[3113] * vX_[131];
+ vX_[1783] = vX_[2207] * 0.881 + (0 - vX_[1976]) * 0.110125 + vX_[2057] * -0.000881;
+ vX_[1986] = vX_[275] * -0.00370574557885489 + vX_[3540] * 0.880970354035369;
+ vX_[2212] = vX_[460] * vX_[902] + vX_[1783] * vX_[899] + vX_[1986] * x_in[32];
+ vX_[3299] = 0 - vX_[2817] + vX_[3299];
+ vX_[2817] = 0 - vX_[1783];
+ vX_[2175] = vX_[275] * 0.417781802643138 + vX_[3540] * -0.00370574557885489;
+ vX_[2098] = vX_[3299] * vX_[902] + vX_[2817] * vX_[907] - vX_[2175] * x_in[32];
+ vX_[1950] = 0 - vX_[3512];
+ vX_[2654] = vX_[2622] * 3.146 + (0 - vX_[3543]) * 0.47422804 + vX_[3113] * 0.0825825;
+ vX_[1983] = vX_[3485] * vX_[173] + vX_[777] * vX_[172] + vX_[3543] * vX_[149] + vX_[3113] * vX_[147];
+ vX_[2421] = vX_[2212] * vX_[131] + vX_[2098] * vX_[129] + vX_[1950] * vX_[890] + vX_[2654] * vX_[887] + vX_[1983] * x_in[31];
+ vX_[1282] = 0 - vX_[338] + vX_[1282];
+ vX_[338] = 0 - vX_[2654];
+ vX_[2145] = vX_[3485] * vX_[171] + vX_[777] * vX_[173] + vX_[3543] * vX_[155] + vX_[3113] * vX_[154];
+ vX_[2166] = vX_[2212] * vX_[911] + vX_[2098] * vX_[131] + vX_[1282] * vX_[890] + vX_[338] * vX_[897] - vX_[2145] * x_in[31];
+ vX_[2206] = vX_[463] * -3.44;
+ vX_[2135] = vX_[621] * 0.1466472;
+ vX_[3019] = vX_[619] * -0.5824264;
+ vX_[2342] = 0 - vX_[2206] + vX_[2135] - vX_[3019];
+ vX_[2810] = 0 - vX_[1328];
+ vX_[1968] = vX_[1238] * vX_[225] + vX_[463] * vX_[199] + vX_[1151] * vX_[196] + vX_[1493] * vX_[539] + vX_[619] * vX_[489];
+ vX_[2183] = vX_[2421] * vX_[903] + vX_[2166] * vX_[148] + vX_[2342] * vX_[813] + vX_[2810] * vX_[882] - vX_[1968] * x_in[30];
+ vX_[2037] = vX_[2412] + vX_[2430] + vX_[2317] - vX_[1414] - vX_[1035];
+ vX_[1945] = 0 - vX_[2037];
+ vX_[501] = vX_[501] + vX_[1945] * vX_[198];
+ vX_[2283] = vX_[2283] + vX_[2037] * vX_[127];
+ vX_[2014] = 0 - vX_[1579];
+ vX_[2204] = 0 - vX_[1638];
+ vX_[2415] = vX_[2442] + vX_[2439] + vX_[1383] + vX_[1712] - vX_[1768] - vX_[1637];
+ vX_[2205] = vX_[2415] - vX_[2205];
+ vX_[2302] = 0 - vX_[1908];
+ vX_[3200] = 0 - vX_[1740];
+ vX_[3159] = 0 - vX_[1035];
+ vX_[3231] = vX_[2400] - vX_[2325];
+ vX_[2455] = vX_[2407] - vX_[2325];
+ vX_[2436] = vX_[2322] + vX_[2402];
+ vX_[2446] = vX_[2267] + vX_[2410];
+ vX_[2487] = vX_[2292] + vX_[2409];
+ vX_[2448] = 0 - vX_[2487];
+ vX_[2209] = vX_[3231] * vX_[211] + vX_[2436] * vX_[209];
+ vX_[2646] = vX_[2455] * vX_[211];
+ vX_[2369] = vX_[3231] * vX_[197] + vX_[2436] * vX_[211];
+ vX_[2016] = vX_[2455] * vX_[209];
+ vX_[2079] = vX_[2369] + vX_[2016];
+ vX_[1769] = vX_[2207] * -0.000881 + vX_[2057] * -0.000227999999999999;
+ vX_[2343] = vX_[2207] * 0.110125 + (0 - vX_[1976]) * 0.025713;
+ vX_[2170] = (0 - vX_[275]) * -0.000881;
+ vX_[2617] = (0 - vX_[3540]) * 0.110125;
+ vX_[2307] = vX_[2170] + vX_[2617];
+ vX_[2307] = vX_[460] * vX_[913] + vX_[3299] * vX_[905] + vX_[1769] * vX_[907] + vX_[2343] * vX_[899] + vX_[2307] * vX_[902] + vX_[2307] * vX_[902];
+ vX_[3299] = vX_[2622] * 0.0825825 + (0 - vX_[326]) * -0.000102 + vX_[3543] * -0.007418 + vX_[3113] * 0.002735;
+ vX_[460] = vX_[2622] * 0.47422804 + vX_[326] * 2.1e-05 + (0 - vX_[3543]) * 0.084376 + (0 - vX_[3113]) * -0.007418;
+ vX_[2053] = (0 - vX_[3485]) * 0.0825825;
+ vX_[2124] = (0 - vX_[777]) * 0.47422804;
+ vX_[2312] = vX_[3543] * -0.000102;
+ vX_[2717] = (0 - vX_[3113]) * 2.1e-05;
+ vX_[2299] = vX_[2053] + vX_[2124] + vX_[2312] + vX_[2717];
+ vX_[2299] = vX_[2307] + vX_[2212] * vX_[912] + vX_[2098] * vX_[130] + vX_[1950] * vX_[904] + vX_[1282] * vX_[895] + vX_[3299] * vX_[897] + vX_[460] * vX_[887] + vX_[2299] * vX_[890] + vX_[2299] * vX_[890];
+ vX_[1282] = vX_[463] * -0.5824264 + (0 - vX_[621]) * 0.022734 + vX_[1493] * 3.6e-05 + vX_[619] * -0.133138;
+ vX_[1950] = vX_[463] * 0.1466472 + vX_[621] * 0.009466 + (0 - vX_[1493]) * -5.1e-05 + vX_[619] * 0.022734;
+ vX_[2789] = (0 - vX_[1238]) * -0.5824264;
+ vX_[2587] = (0 - vX_[1151]) * 0.1466472;
+ vX_[2973] = (0 - vX_[621]) * 3.6e-05;
+ vX_[2566] = (0 - vX_[619]) * -5.1e-05;
+ vX_[436] = vX_[2789] + vX_[2587] + vX_[2973] - vX_[2566];
+ vX_[2525] = vX_[1238] * vX_[230] + vX_[463] * vX_[489] + vX_[1151] * vX_[542] + vX_[1493] * vX_[541] + vX_[619] * vX_[193];
+ vX_[436] = vX_[2421] * vX_[886] + vX_[2166] * vX_[163] + vX_[2299] * -1 + vX_[1470] * vX_[815] + vX_[2810] * vX_[894] + vX_[1282] * vX_[813] + vX_[1950] * vX_[884] + vX_[436] * vX_[882] + vX_[436] * vX_[882] + vX_[2525] * x_in[30];
+ vX_[264] = vX_[275] * 0.110125 + vX_[3540] * -0.000881 + vX_[264] * 0.025941;
+ vX_[2057] = vX_[2207] * -0.000881 + vX_[2057] * 0.000468;
+ vX_[2617] = vX_[3560] * vX_[900] + vX_[2817] * vX_[905] + vX_[1769] * vX_[902] + vX_[264] * vX_[899] + vX_[2617] * vX_[907] + vX_[2617] * vX_[907] + vX_[2057] * x_in[32];
+ vX_[1976] = vX_[2207] * -0.110125 + vX_[1976] * 0.026409;
+ jac[1180] = vX_[2175] * vX_[909] + vX_[1986] * vX_[913] + vX_[1976] * vX_[938] + vX_[2057] * vX_[907] + vX_[2307];
+ vX_[1976] = vX_[3062] * vX_[900] + vX_[1783] * vX_[913] + vX_[2343] * vX_[902] + vX_[264] * vX_[907] + vX_[2170] * vX_[899] + vX_[2170] * vX_[899] - vX_[1976] * x_in[32];
+ vX_[264] = vX_[3485] * 0.47422804 + vX_[777] * 0.0825825 + vX_[326] * 0.081641 + (0 - vX_[3543]) * 2.1e-05 + vX_[3113] * -0.000102;
+ vX_[2170] = (0 - vX_[326]) * -0.007418;
+ vX_[2717] = vX_[2124] + vX_[2170] - vX_[2717];
+ vX_[2124] = vX_[2622] * vX_[142] + vX_[3485] * vX_[154] + vX_[777] * vX_[147] + vX_[3543] * vX_[188] + vX_[3113] * vX_[184];
+ vX_[2717] = vX_[1641] * -0.35 + vX_[2617] * vX_[131] + vX_[1976] * vX_[129] + vX_[3512] * vX_[888] + vX_[338] * vX_[895] + vX_[3299] * vX_[890] + vX_[264] * vX_[887] + vX_[2717] * vX_[897] + vX_[2717] * vX_[897] + vX_[2124] * x_in[31];
+ vX_[2170] = vX_[2053] - vX_[2170] - vX_[2312];
+ vX_[2312] = vX_[2622] * vX_[151] + vX_[3485] * vX_[155] + vX_[777] * vX_[149] + vX_[3543] * vX_[182] + vX_[3113] * vX_[188];
+ jac[1144] = vX_[2145] * vX_[908] + vX_[1983] * vX_[904] + vX_[2312] * vX_[915] + vX_[2124] * vX_[897] + vX_[2299];
+ vX_[2312] = vX_[2617] * vX_[137] + vX_[1976] * vX_[131] + vX_[3116] * vX_[888] + vX_[2654] * vX_[904] + vX_[460] * vX_[890] + vX_[264] * vX_[897] + vX_[2170] * vX_[887] + vX_[2170] * vX_[887] - vX_[2312] * x_in[31];
+ vX_[3019] = vX_[2206] - vX_[2135] + vX_[3019];
+ vX_[2135] = vX_[1238] * 0.1466472 + vX_[1151] * -0.5824264 + vX_[621] * -5.1e-05 + (0 - vX_[1493]) * -0.123672 + (0 - vX_[619]) * 3.6e-05;
+ vX_[2206] = vX_[1493] * 0.022734;
+ vX_[2973] = vX_[2789] - vX_[2973] - vX_[2206];
+ vX_[2789] = vX_[1238] * vX_[167] + vX_[463] * vX_[539] + vX_[1151] * vX_[490] + vX_[1493] * vX_[488] + vX_[619] * vX_[541];
+ vX_[2973] = vX_[2717] * vX_[157] + vX_[2312] * vX_[148] + vX_[3019] * vX_[815] + vX_[1328] * vX_[814] + vX_[2135] * vX_[813] + vX_[1950] * vX_[882] + vX_[2973] * vX_[884] + vX_[2973] * vX_[884] - vX_[2789] * x_in[30];
+ vX_[1950] = 0 - vX_[501];
+ vX_[1328] = 0 - vX_[2283];
+ vX_[2415] = 0 - vX_[2415] + vX_[1727];
+ vX_[1727] = 0 - vX_[1760];
+ vX_[2487] = 0 - vX_[2487];
+ jac[460] = 0 - (0 - (vX_[2277] * vX_[941] + vX_[3446] * x_in[22]) + (vX_[1993] * vX_[941] + vX_[793] * vX_[211] + vX_[3446] * x_in[20]) * 0.3735 - (vX_[2241] * vX_[944] + vX_[2183] * x_in[23]) + (vX_[2128] * vX_[944] + vX_[2183] * x_in[19]) * -0.3735 + (vX_[2230] * vX_[944] + (vX_[1710] * vX_[492] + vX_[1760] * vX_[545] + vX_[2037] * vX_[224] + vX_[1902] * vX_[226] + vX_[501] * vX_[196] + vX_[2283] * vX_[205] + vX_[2014] * vX_[208] + vX_[2204] * vX_[225] + vX_[2205] * vX_[214] + vX_[2302] * vX_[490] + vX_[1760] * vX_[542] + vX_[3200] * vX_[167] + vX_[3159] * vX_[497]) * -1 + vX_[2183] * x_in[18]) * -0.207 - (vX_[1993] * vX_[946] + vX_[2128] * vX_[917] + vX_[3231] * vX_[669] + vX_[2455] * vX_[667] + vX_[2436] * vX_[665] + vX_[2446] * vX_[648] + vX_[2448] * vX_[214] + vX_[2209] * vX_[351] + vX_[2646] * vX_[480] + vX_[2079] * vX_[196] + vX_[1555] * vX_[637] + vX_[1866] * vX_[605] + vX_[2708] * vX_[232] + vX_[677] * vX_[222] + vX_[1383] * vX_[636] + vX_[1712] * vX_[602] + vX_[1846] * vX_[601] + vX_[1575] * vX_[603] + vX_[1864] * vX_[544] + vX_[2021] * vX_[604] + vX_[1413] * vX_[221] + vX_[3619] * vX_[231] + vX_[1069] * vX_[551] + vX_[3411] * vX_[549] + vX_[1437] * vX_[547] + vX_[2423] * vX_[588] + vX_[2125] * vX_[589] + vX_[783] * vX_[498] + vX_[376] * vX_[494] + vX_[577] * vX_[546] + vX_[793] * vX_[212] + vX_[436] * x_in[19] + vX_[2973] * x_in[20])) * vX_[3528] + (vX_[2241] * vX_[941] + vX_[1993] * vX_[917] + vX_[3231] * vX_[665] + vX_[2446] * vX_[214] + vX_[2369] * vX_[480] + vX_[2209] * vX_[196] + vX_[1866] * vX_[602] + vX_[2708] * vX_[222] + vX_[1383] * vX_[637] + vX_[1846] * vX_[544] + vX_[1575] * vX_[604] + vX_[1413] * vX_[231] + vX_[1069] * vX_[547] + vX_[2423] * vX_[589] + vX_[3312] * vX_[494] + vX_[783] * vX_[546] + (vX_[1908] * vX_[543] + vX_[1244] * vX_[176] + vX_[1740] * vX_[226] + vX_[1945] * vX_[200] + vX_[1414] * vX_[215] + vX_[1950] * vX_[199] + vX_[3484] * vX_[208] + vX_[1328] * vX_[196] + vX_[1764] * vX_[214] + vX_[2415] * vX_[225] + vX_[1908] * vX_[539] + vX_[1727] * vX_[489] + vX_[1740] * vX_[230] + vX_[1414] * vX_[486]) * 0.207 + vX_[3446] * x_in[23] + vX_[436] * x_in[20] + (vX_[2128] * vX_[941] + vX_[793] * vX_[209] + vX_[3446] * x_in[19]) * 0.3735 + (vX_[2230] * vX_[941] + vX_[3446] * x_in[18]) * 0.207 - (vX_[2277] * vX_[944] + vX_[2183] * x_in[22]) + (vX_[1993] * vX_[944] + vX_[2183] * x_in[20]) * 0.3735 - (vX_[2128] * vX_[946] + vX_[2455] * vX_[666] + vX_[2436] * vX_[669] + vX_[2487] * vX_[648] + vX_[2646] * vX_[196] + vX_[2016] * vX_[351] + vX_[1555] * vX_[636] + vX_[677] * vX_[232] + vX_[1712] * vX_[605] + vX_[1864] * vX_[601] + vX_[2021] * vX_[603] + vX_[3619] * vX_[221] + vX_[3411] * vX_[548] + vX_[1437] * vX_[551] + vX_[1835] * vX_[588] + vX_[376] * vX_[546] + vX_[1499] * vX_[498] + vX_[793] * vX_[210] + vX_[2973] * x_in[19])) * vX_[989];
+ vX_[2436] = vX_[2417] * -1 + vX_[2237] * 0.207;
+ vX_[2455] = vX_[2393] * vX_[125] + vX_[2429] * vX_[893] + vX_[2237] * vX_[891] + vX_[2354] * vX_[892] + vX_[2382] * vX_[126];
+ vX_[3231] = vX_[2237] * vX_[197] + vX_[2354] * vX_[211];
+ vX_[1945] = vX_[2436] * vX_[148] + vX_[2455] * vX_[903] + vX_[3231] * vX_[886];
+ vX_[2037] = vX_[2436] * vX_[128] + vX_[2455] * vX_[148] + vX_[3231] * vX_[163];
+ vX_[793] = vX_[3231] * -1;
+ vX_[1244] = vX_[1945] * 1 / vX_[145];
+ vX_[2125] = vX_[2037] * 1 / vX_[145];
+ vX_[1864] = vX_[793] * 1 / vX_[145];
+ vX_[1846] = vX_[2382] * -1;
+ vX_[1710] = vX_[2436] * 1 / vX_[194];
+ vX_[1835] = vX_[2393] * vX_[197] + vX_[2429] * vX_[879] + vX_[2237] * vX_[212] + vX_[2354] * vX_[210] + vX_[2382] * vX_[880];
+ vX_[2423] = vX_[1835] * 1 / vX_[194];
+ vX_[2021] = vX_[2455] * 1 / vX_[194];
+ vX_[1712] = vX_[1846] * 1 / vX_[194];
+ vX_[1866] = vX_[3231] * 1 / vX_[194];
+ vX_[1575] = vX_[2237] * vX_[211] + vX_[2354] * vX_[209];
+ vX_[1383] = vX_[1575] * 1 / vX_[194];
+ vX_[1846] = vX_[1846] - (vX_[1710] * vX_[206] + vX_[2423] * vX_[168] + vX_[2021] * vX_[158] + vX_[1712] * vX_[194] + vX_[1866] * vX_[220] + vX_[1383] * vX_[229]);
+ vX_[1555] = vX_[1846] * vX_[148] + vX_[1575] * vX_[157];
+ vX_[1902] = vX_[1555] * 1 / vX_[145];
+ vX_[3619] = vX_[1846] * vX_[128] + vX_[1575] * vX_[148];
+ vX_[2708] = vX_[3619] * 1 / vX_[145];
+ vX_[793] = vX_[793] - (vX_[1244] * vX_[152] + vX_[2125] * vX_[143] + vX_[1864] * vX_[145] + vX_[1902] * 2.1e-05 + vX_[2708] * -0.000102);
+ vX_[1413] = vX_[1945] * vX_[129] + vX_[2037] * vX_[131] + vX_[793] * vX_[130];
+ vX_[677] = vX_[1945] * vX_[131] + vX_[2037] * vX_[911] + vX_[793] * vX_[912];
+ vX_[577] = vX_[793] - (vX_[677] * 38.1956380581338 * 0.110125 + vX_[1413] * 38.1956380581338 * 0.000881 + vX_[793] * 38.1956380581338 * 0.026181);
+ vX_[1499] = vX_[1413] * 0.881 + (0 - vX_[577]) * -0.000881;
+ vX_[3312] = vX_[677] * -0.881;
+ vX_[376] = vX_[577] * 0.110125;
+ vX_[3411] = vX_[3312] - vX_[376];
+ vX_[783] = vX_[1499] * vX_[907] + vX_[3411] * vX_[899];
+ vX_[1437] = vX_[2037] * 3.146 + (0 - vX_[793]) * 0.0825825;
+ vX_[1069] = vX_[1945] * -3.146;
+ vX_[2170] = vX_[793] * 0.47422804;
+ vX_[264] = vX_[1069] - vX_[2170];
+ vX_[460] = vX_[783] + vX_[1437] * vX_[897] + vX_[264] * vX_[887];
+ vX_[2654] = vX_[2455] * 3.44 + vX_[3231] * -0.5824264;
+ vX_[3116] = 0 - vX_[2654];
+ vX_[2124] = vX_[2436] * 3.44 + (0 - vX_[3231]) * 0.1466472;
+ vX_[2299] = vX_[2436] * vX_[214] + vX_[1835] * vX_[196] + vX_[2455] * vX_[205] + vX_[3231] * vX_[490] + vX_[1575] * vX_[542];
+ vX_[2145] = vX_[460] * -1 + vX_[3116] * vX_[813] + vX_[2124] * vX_[884] + vX_[2299] * x_in[30];
+ vX_[1983] = vX_[2564] - vX_[2469];
+ vX_[2053] = vX_[2427] + vX_[2553];
+ vX_[3299] = vX_[1983] * vX_[211] + vX_[2053] * vX_[209];
+ vX_[338] = vX_[2582] - vX_[2469];
+ vX_[3512] = vX_[338] * vX_[211];
+ vX_[1641] = vX_[1983] * vX_[197] + vX_[2053] * vX_[211];
+ vX_[2343] = vX_[338] * vX_[209];
+ vX_[1783] = vX_[1641] + vX_[2343];
+ vX_[3062] = vX_[3299] * vX_[197] + vX_[3512] * vX_[209] + vX_[1783] * vX_[211];
+ vX_[2057] = 0 - vX_[3062];
+ vX_[2307] = vX_[2469] + vX_[1641] * vX_[197] + vX_[3512] * vX_[211];
+ vX_[2175] = 0 - vX_[2307];
+ vX_[1986] = vX_[2469] + vX_[3299] * vX_[211] + vX_[2343] * vX_[209];
+ vX_[2207] = vX_[2584] + vX_[2590];
+ vX_[1769] = vX_[2428] + vX_[2505] - vX_[2207];
+ vX_[2817] = vX_[2574] + vX_[2589];
+ vX_[3560] = 0 - (vX_[2349] + vX_[2509]) + vX_[2817];
+ vX_[275] = (vX_[2817] * vX_[197] + vX_[2207] * vX_[211]) * -1;
+ vX_[3540] = 0 - (vX_[1769] * vX_[211] + vX_[3560] * vX_[209]) + vX_[275];
+ vX_[2810] = vX_[3540] + vX_[2307] * vX_[198];
+ vX_[2318] = 0 - vX_[2810];
+ vX_[2488] = (vX_[2817] * vX_[211] + vX_[2207] * vX_[209]) * -1;
+ vX_[2502] = vX_[1769] * vX_[197] + vX_[3560] * vX_[211] + vX_[2488];
+ vX_[2470] = 0 - vX_[1986];
+ vX_[2542] = vX_[2502] + vX_[3062] * vX_[198] + vX_[2470] * vX_[127];
+ vX_[3383] = vX_[2418] + vX_[2557];
+ vX_[2459] = vX_[2483] + vX_[2556];
+ vX_[2413] = vX_[3383] * vX_[209] + vX_[2459] * vX_[211];
+ vX_[2651] = vX_[2381] + vX_[2387];
+ vX_[2647] = vX_[2434] + vX_[2555];
+ vX_[2368] = vX_[2651] * vX_[211] + vX_[2647] * vX_[209];
+ vX_[2379] = vX_[2413] * vX_[197] + vX_[2368] * vX_[211];
+ vX_[2938] = vX_[2458] + vX_[2572];
+ vX_[2196] = vX_[2595] + vX_[2592];
+ vX_[387] = 0 - vX_[2196];
+ vX_[388] = vX_[2938] * vX_[211] + vX_[387] * vX_[209];
+ vX_[392] = 0 - vX_[388];
+ vX_[2129] = vX_[2379] + vX_[392] * vX_[127] + vX_[2175] * vX_[213];
+ vX_[2264] = 0 - vX_[2129];
+ vX_[2334] = vX_[3383] * vX_[211] + vX_[2459] * vX_[197];
+ vX_[2103] = vX_[2651] * vX_[197] + vX_[2647] * vX_[211];
+ vX_[2812] = vX_[2334] * vX_[211] + vX_[2103] * vX_[209];
+ vX_[2196] = 0 - vX_[2196];
+ vX_[2497] = vX_[2938] * vX_[197] + vX_[2196] * vX_[211];
+ vX_[2460] = 0 - vX_[2497];
+ vX_[2520] = vX_[2812] + vX_[2460] * vX_[198] + vX_[1986] * vX_[213];
+ vX_[2661] = vX_[2334] * vX_[197] + vX_[2103] * vX_[211];
+ vX_[2390] = vX_[2661] + vX_[388] * vX_[198];
+ vX_[2960] = vX_[2413] * vX_[211] + vX_[2368] * vX_[209];
+ vX_[2782] = vX_[2960] + vX_[2497] * vX_[127] + vX_[2057] * vX_[213];
+ vX_[2735] = 0 - vX_[2390] + vX_[2782];
+ vX_[2391] = 0 - vX_[3062];
+ vX_[2597] = 0 - vX_[2307];
+ vX_[2175] = vX_[2057] * vX_[545] + vX_[2175] * vX_[492] + vX_[1986] * vX_[176] + vX_[2318] * vX_[214] + vX_[2542] * vX_[225] + vX_[2264] * vX_[205] + vX_[2520] * vX_[199] + vX_[2735] * vX_[196] + vX_[3062] * vX_[539] + vX_[2391] * vX_[542] + vX_[2597] * vX_[491] + vX_[1986] * vX_[495];
+ vX_[2057] = 0 - vX_[1499];
+ vX_[2963] = vX_[1835] * -1 + vX_[1846] * -0.08;
+ vX_[3347] = vX_[2963] + vX_[1555] * -0.35;
+ vX_[3103] = vX_[1555] * vX_[131] + vX_[3619] * vX_[137];
+ vX_[3058] = vX_[1555] * vX_[129] + vX_[3619] * vX_[131];
+ vX_[1468] = vX_[3347] * 0.881 + (0 - vX_[3103]) * 0.110125 + vX_[3058] * -0.000881;
+ vX_[3488] = vX_[677] * -0.00370574557885489 + vX_[1413] * 0.880970354035369;
+ vX_[3029] = vX_[2057] * vX_[902] + vX_[1468] * vX_[899] + vX_[3488] * x_in[32];
+ vX_[376] = 0 - vX_[3312] + vX_[376];
+ vX_[3312] = 0 - vX_[1468];
+ vX_[3017] = vX_[677] * 0.417781802643138 + vX_[1413] * -0.00370574557885489;
+ vX_[2879] = vX_[376] * vX_[902] + vX_[3312] * vX_[907] - vX_[3017] * x_in[32];
+ vX_[2869] = 0 - vX_[1437];
+ vX_[2141] = vX_[2963] * 3.146 + (0 - vX_[1555]) * 0.47422804 + vX_[3619] * 0.0825825;
+ vX_[2949] = vX_[1945] * vX_[173] + vX_[2037] * vX_[172] + vX_[1555] * vX_[149] + vX_[3619] * vX_[147];
+ vX_[3160] = vX_[3029] * vX_[131] + vX_[2879] * vX_[129] + vX_[2869] * vX_[890] + vX_[2141] * vX_[887] + vX_[2949] * x_in[31];
+ vX_[2170] = 0 - vX_[1069] + vX_[2170];
+ vX_[1069] = 0 - vX_[2141];
+ vX_[3261] = vX_[1945] * vX_[171] + vX_[2037] * vX_[173] + vX_[1555] * vX_[155] + vX_[3619] * vX_[154];
+ vX_[2932] = vX_[3029] * vX_[911] + vX_[2879] * vX_[131] + vX_[2170] * vX_[890] + vX_[1069] * vX_[897] - vX_[3261] * x_in[31];
+ vX_[2859] = vX_[1835] * -3.44;
+ vX_[3008] = vX_[1846] * 0.1466472;
+ vX_[2945] = vX_[1575] * -0.5824264;
+ vX_[2798] = 0 - vX_[2859] + vX_[3008] - vX_[2945];
+ vX_[3018] = 0 - vX_[2124];
+ vX_[429] = vX_[2436] * vX_[225] + vX_[1835] * vX_[199] + vX_[2455] * vX_[196] + vX_[3231] * vX_[539] + vX_[1575] * vX_[489];
+ vX_[430] = vX_[3160] * vX_[903] + vX_[2932] * vX_[148] + vX_[2798] * vX_[813] + vX_[3018] * vX_[882] - vX_[429] * x_in[30];
+ vX_[757] = vX_[2564] + vX_[2582] + vX_[2469] - vX_[2307] - vX_[1986];
+ vX_[3436] = 0 - vX_[757];
+ vX_[275] = vX_[275] + vX_[3436] * vX_[198];
+ vX_[2488] = vX_[2488] + vX_[757] * vX_[127];
+ vX_[566] = 0 - vX_[2542];
+ vX_[2948] = 0 - vX_[2520];
+ vX_[3093] = vX_[2594] + vX_[2591] + vX_[2459] + vX_[2647] - vX_[2661] - vX_[2960];
+ vX_[2782] = vX_[3093] - vX_[2782];
+ vX_[3276] = 0 - vX_[388];
+ vX_[3161] = 0 - vX_[3062];
+ vX_[3054] = 0 - vX_[1986];
+ vX_[3035] = vX_[2552] - vX_[2477];
+ vX_[3409] = vX_[2559] - vX_[2477];
+ vX_[3385] = vX_[2474] + vX_[2554];
+ vX_[3410] = vX_[2419] + vX_[2562];
+ vX_[726] = vX_[2444] + vX_[2561];
+ vX_[1906] = 0 - vX_[726];
+ vX_[765] = vX_[3035] * vX_[211] + vX_[3385] * vX_[209];
+ vX_[451] = vX_[3409] * vX_[211];
+ vX_[3365] = vX_[3035] * vX_[197] + vX_[3385] * vX_[211];
+ vX_[3313] = vX_[3409] * vX_[209];
+ vX_[3382] = vX_[3365] + vX_[3313];
+ vX_[3448] = vX_[3347] * -0.000881 + vX_[3058] * -0.000227999999999999;
+ vX_[582] = vX_[3347] * 0.110125 + (0 - vX_[3103]) * 0.025713;
+ vX_[382] = (0 - vX_[677]) * -0.000881;
+ vX_[714] = (0 - vX_[1413]) * 0.110125;
+ vX_[3303] = vX_[382] + vX_[714];
+ vX_[3303] = vX_[2057] * vX_[913] + vX_[376] * vX_[905] + vX_[3448] * vX_[907] + vX_[582] * vX_[899] + vX_[3303] * vX_[902] + vX_[3303] * vX_[902];
+ vX_[376] = vX_[2963] * 0.0825825 + (0 - vX_[793]) * -0.000102 + vX_[1555] * -0.007418 + vX_[3619] * 0.002735;
+ vX_[2057] = vX_[2963] * 0.47422804 + vX_[793] * 2.1e-05 + (0 - vX_[1555]) * 0.084376 + (0 - vX_[3619]) * -0.007418;
+ vX_[3387] = (0 - vX_[1945]) * 0.0825825;
+ vX_[578] = (0 - vX_[2037]) * 0.47422804;
+ vX_[3257] = vX_[1555] * -0.000102;
+ vX_[3376] = (0 - vX_[3619]) * 2.1e-05;
+ vX_[3464] = vX_[3387] + vX_[578] + vX_[3257] + vX_[3376];
+ vX_[3464] = vX_[3303] + vX_[3029] * vX_[912] + vX_[2879] * vX_[130] + vX_[2869] * vX_[904] + vX_[2170] * vX_[895] + vX_[376] * vX_[897] + vX_[2057] * vX_[887] + vX_[3464] * vX_[890] + vX_[3464] * vX_[890];
+ vX_[2170] = vX_[1835] * -0.5824264 + (0 - vX_[1846]) * 0.022734 + vX_[3231] * 3.6e-05 + vX_[1575] * -0.133138;
+ vX_[2869] = vX_[1835] * 0.1466472 + vX_[1846] * 0.009466 + (0 - vX_[3231]) * -5.1e-05 + vX_[1575] * 0.022734;
+ vX_[1205] = (0 - vX_[2436]) * -0.5824264;
+ vX_[1024] = (0 - vX_[2455]) * 0.1466472;
+ vX_[1476] = (0 - vX_[1846]) * 3.6e-05;
+ vX_[1477] = (0 - vX_[1575]) * -5.1e-05;
+ vX_[1508] = vX_[1205] + vX_[1024] + vX_[1476] - vX_[1477];
+ vX_[766] = vX_[2436] * vX_[230] + vX_[1835] * vX_[489] + vX_[2455] * vX_[542] + vX_[3231] * vX_[541] + vX_[1575] * vX_[193];
+ vX_[1508] = vX_[3160] * vX_[886] + vX_[2932] * vX_[163] + vX_[3464] * -1 + vX_[2654] * vX_[815] + vX_[3018] * vX_[894] + vX_[2170] * vX_[813] + vX_[2869] * vX_[884] + vX_[1508] * vX_[882] + vX_[1508] * vX_[882] + vX_[766] * x_in[30];
+ vX_[577] = vX_[677] * 0.110125 + vX_[1413] * -0.000881 + vX_[577] * 0.025941;
+ vX_[3058] = vX_[3347] * -0.000881 + vX_[3058] * 0.000468;
+ vX_[714] = vX_[1499] * vX_[900] + vX_[3312] * vX_[905] + vX_[3448] * vX_[902] + vX_[577] * vX_[899] + vX_[714] * vX_[907] + vX_[714] * vX_[907] + vX_[3058] * x_in[32];
+ vX_[3103] = vX_[3347] * -0.110125 + vX_[3103] * 0.026409;
+ jac[1181] = vX_[3017] * vX_[909] + vX_[3488] * vX_[913] + vX_[3103] * vX_[938] + vX_[3058] * vX_[907] + vX_[3303];
+ vX_[3103] = vX_[3411] * vX_[900] + vX_[1468] * vX_[913] + vX_[582] * vX_[902] + vX_[577] * vX_[907] + vX_[382] * vX_[899] + vX_[382] * vX_[899] - vX_[3103] * x_in[32];
+ vX_[577] = vX_[1945] * 0.47422804 + vX_[2037] * 0.0825825 + vX_[793] * 0.081641 + (0 - vX_[1555]) * 2.1e-05 + vX_[3619] * -0.000102;
+ vX_[382] = (0 - vX_[793]) * -0.007418;
+ vX_[3376] = vX_[578] + vX_[382] - vX_[3376];
+ vX_[578] = vX_[2963] * vX_[142] + vX_[1945] * vX_[154] + vX_[2037] * vX_[147] + vX_[1555] * vX_[188] + vX_[3619] * vX_[184];
+ vX_[3376] = vX_[783] * -0.35 + vX_[714] * vX_[131] + vX_[3103] * vX_[129] + vX_[1437] * vX_[888] + vX_[1069] * vX_[895] + vX_[376] * vX_[890] + vX_[577] * vX_[887] + vX_[3376] * vX_[897] + vX_[3376] * vX_[897] + vX_[578] * x_in[31];
+ vX_[382] = vX_[3387] - vX_[382] - vX_[3257];
+ vX_[3257] = vX_[2963] * vX_[151] + vX_[1945] * vX_[155] + vX_[2037] * vX_[149] + vX_[1555] * vX_[182] + vX_[3619] * vX_[188];
+ jac[1145] = vX_[3261] * vX_[908] + vX_[2949] * vX_[904] + vX_[3257] * vX_[915] + vX_[578] * vX_[897] + vX_[3464];
+ vX_[3257] = vX_[714] * vX_[137] + vX_[3103] * vX_[131] + vX_[264] * vX_[888] + vX_[2141] * vX_[904] + vX_[2057] * vX_[890] + vX_[577] * vX_[897] + vX_[382] * vX_[887] + vX_[382] * vX_[887] - vX_[3257] * x_in[31];
+ vX_[2945] = vX_[2859] - vX_[3008] + vX_[2945];
+ vX_[3008] = vX_[2436] * 0.1466472 + vX_[2455] * -0.5824264 + vX_[1846] * -5.1e-05 + (0 - vX_[3231]) * -0.123672 + (0 - vX_[1575]) * 3.6e-05;
+ vX_[2859] = vX_[3231] * 0.022734;
+ vX_[1476] = vX_[1205] - vX_[1476] - vX_[2859];
+ vX_[1205] = vX_[2436] * vX_[167] + vX_[1835] * vX_[539] + vX_[2455] * vX_[490] + vX_[3231] * vX_[488] + vX_[1575] * vX_[541];
+ vX_[1476] = vX_[3376] * vX_[157] + vX_[3257] * vX_[148] + vX_[2945] * vX_[815] + vX_[2124] * vX_[814] + vX_[3008] * vX_[813] + vX_[2869] * vX_[882] + vX_[1476] * vX_[884] + vX_[1476] * vX_[884] - vX_[1205] * x_in[30];
+ vX_[2869] = 0 - vX_[275];
+ vX_[2124] = 0 - vX_[2488];
+ vX_[3093] = 0 - vX_[3093] + vX_[2390];
+ vX_[2390] = 0 - vX_[2497];
+ vX_[726] = 0 - vX_[726];
+ jac[461] = 0 - (0 - (vX_[2429] * vX_[941] + vX_[2145] * x_in[22]) + (vX_[2237] * vX_[941] + vX_[2175] * vX_[211] + vX_[2145] * x_in[20]) * 0.3735 - (vX_[2393] * vX_[944] + vX_[430] * x_in[23]) + (vX_[2354] * vX_[944] + vX_[430] * x_in[19]) * -0.3735 + (vX_[2382] * vX_[944] + (vX_[392] * vX_[492] + vX_[2497] * vX_[545] + vX_[757] * vX_[224] + vX_[2470] * vX_[226] + vX_[275] * vX_[196] + vX_[2488] * vX_[205] + vX_[566] * vX_[208] + vX_[2948] * vX_[225] + vX_[2782] * vX_[214] + vX_[3276] * vX_[490] + vX_[2497] * vX_[542] + vX_[3161] * vX_[167] + vX_[3054] * vX_[497]) * -1 + vX_[430] * x_in[18]) * -0.207 - (vX_[2237] * vX_[946] + vX_[2354] * vX_[917] + vX_[3035] * vX_[669] + vX_[3409] * vX_[667] + vX_[3385] * vX_[665] + vX_[3410] * vX_[648] + vX_[1906] * vX_[214] + vX_[765] * vX_[351] + vX_[451] * vX_[480] + vX_[3382] * vX_[196] + vX_[3383] * vX_[637] + vX_[2651] * vX_[605] + vX_[2817] * vX_[232] + vX_[2207] * vX_[222] + vX_[2459] * vX_[636] + vX_[2647] * vX_[602] + vX_[2334] * vX_[601] + vX_[2413] * vX_[603] + vX_[2103] * vX_[544] + vX_[2368] * vX_[604] + vX_[1769] * vX_[221] + vX_[3560] * vX_[231] + vX_[1983] * vX_[551] + vX_[338] * vX_[549] + vX_[2053] * vX_[547] + vX_[2938] * vX_[588] + vX_[2196] * vX_[589] + vX_[3299] * vX_[498] + vX_[3512] * vX_[494] + vX_[1783] * vX_[546] + vX_[2175] * vX_[212] + vX_[1508] * x_in[19] + vX_[1476] * x_in[20])) * vX_[3528] + (vX_[2393] * vX_[941] + vX_[2237] * vX_[917] + vX_[3035] * vX_[665] + vX_[3410] * vX_[214] + vX_[3365] * vX_[480] + vX_[765] * vX_[196] + vX_[2651] * vX_[602] + vX_[2817] * vX_[222] + vX_[2459] * vX_[637] + vX_[2334] * vX_[544] + vX_[2413] * vX_[604] + vX_[1769] * vX_[231] + vX_[1983] * vX_[547] + vX_[2938] * vX_[589] + vX_[1641] * vX_[494] + vX_[3299] * vX_[546] + (vX_[388] * vX_[543] + vX_[2460] * vX_[176] + vX_[3062] * vX_[226] + vX_[3436] * vX_[200] + vX_[2307] * vX_[215] + vX_[2869] * vX_[199] + vX_[2810] * vX_[208] + vX_[2124] * vX_[196] + vX_[2129] * vX_[214] + vX_[3093] * vX_[225] + vX_[388] * vX_[539] + vX_[2390] * vX_[489] + vX_[3062] * vX_[230] + vX_[2307] * vX_[486]) * 0.207 + vX_[2145] * x_in[23] + vX_[1508] * x_in[20] + (vX_[2354] * vX_[941] + vX_[2175] * vX_[209] + vX_[2145] * x_in[19]) * 0.3735 + (vX_[2382] * vX_[941] + vX_[2145] * x_in[18]) * 0.207 - (vX_[2429] * vX_[944] + vX_[430] * x_in[22]) + (vX_[2237] * vX_[944] + vX_[430] * x_in[20]) * 0.3735 - (vX_[2354] * vX_[946] + vX_[3409] * vX_[666] + vX_[3385] * vX_[669] + vX_[726] * vX_[648] + vX_[451] * vX_[196] + vX_[3313] * vX_[351] + vX_[3383] * vX_[636] + vX_[2207] * vX_[232] + vX_[2647] * vX_[605] + vX_[2103] * vX_[601] + vX_[2368] * vX_[603] + vX_[3560] * vX_[221] + vX_[338] * vX_[548] + vX_[2053] * vX_[551] + vX_[387] * vX_[588] + vX_[3512] * vX_[546] + vX_[2343] * vX_[498] + vX_[2175] * vX_[210] + vX_[1476] * x_in[19])) * vX_[989];
+ vX_[3385] = vX_[2606] * -1 + vX_[2604] * 0.207;
+ vX_[3409] = vX_[2389] * vX_[125] + vX_[2506] * vX_[893] + vX_[2604] * vX_[891] + vX_[2588] * vX_[892] + vX_[2543] * vX_[126];
+ vX_[3035] = vX_[2604] * vX_[197] + vX_[2588] * vX_[211];
+ vX_[3436] = vX_[3385] * vX_[148] + vX_[3409] * vX_[903] + vX_[3035] * vX_[886];
+ vX_[757] = vX_[3385] * vX_[128] + vX_[3409] * vX_[148] + vX_[3035] * vX_[163];
+ vX_[2175] = vX_[3035] * -1;
+ vX_[2460] = vX_[3436] * 1 / vX_[145];
+ vX_[2196] = vX_[757] * 1 / vX_[145];
+ vX_[2103] = vX_[2175] * 1 / vX_[145];
+ vX_[2334] = vX_[2543] * -1;
+ vX_[392] = vX_[3385] * 1 / vX_[194];
+ vX_[387] = vX_[2389] * vX_[197] + vX_[2506] * vX_[879] + vX_[2604] * vX_[212] + vX_[2588] * vX_[210] + vX_[2543] * vX_[880];
+ vX_[2938] = vX_[387] * 1 / vX_[194];
+ vX_[2368] = vX_[3409] * 1 / vX_[194];
+ vX_[2647] = vX_[2334] * 1 / vX_[194];
+ vX_[2651] = vX_[3035] * 1 / vX_[194];
+ vX_[2413] = vX_[2604] * vX_[211] + vX_[2588] * vX_[209];
+ vX_[2459] = vX_[2413] * 1 / vX_[194];
+ vX_[2334] = vX_[2334] - (vX_[2643] + vX_[392] * vX_[206] + vX_[2938] * vX_[168] + vX_[2368] * vX_[158] + vX_[2647] * vX_[194] + vX_[2651] * vX_[220] + vX_[2459] * vX_[229]);
+ vX_[3383] = vX_[2334] * vX_[148] + vX_[2413] * vX_[157];
+ vX_[2470] = vX_[3383] * 1 / vX_[145];
+ vX_[3560] = vX_[2334] * vX_[128] + vX_[2413] * vX_[148];
+ vX_[2817] = vX_[3560] * 1 / vX_[145];
+ vX_[2175] = vX_[2175] - (vX_[2460] * vX_[152] + vX_[2196] * vX_[143] + vX_[2103] * vX_[145] + vX_[2470] * 2.1e-05 + vX_[2817] * -0.000102);
+ vX_[1769] = vX_[3436] * vX_[129] + vX_[757] * vX_[131] + vX_[2175] * vX_[130];
+ vX_[2207] = vX_[3436] * vX_[131] + vX_[757] * vX_[911] + vX_[2175] * vX_[912];
+ vX_[1783] = vX_[2175] - (vX_[2207] * 38.1956380581338 * 0.110125 + vX_[1769] * 38.1956380581338 * 0.000881 + vX_[2175] * 38.1956380581338 * 0.026181);
+ vX_[2343] = vX_[1769] * 0.881 + (0 - vX_[1783]) * -0.000881;
+ vX_[1641] = vX_[2207] * -0.881;
+ vX_[3512] = vX_[1783] * 0.110125;
+ vX_[338] = vX_[1641] - vX_[3512];
+ vX_[3299] = vX_[2343] * vX_[907] + vX_[338] * vX_[899];
+ vX_[2053] = vX_[757] * 3.146 + (0 - vX_[2175]) * 0.0825825;
+ vX_[1983] = vX_[3436] * -3.146;
+ vX_[382] = vX_[2175] * 0.47422804;
+ vX_[577] = vX_[1983] - vX_[382];
+ vX_[2057] = vX_[3299] + vX_[2053] * vX_[897] + vX_[577] * vX_[887];
+ vX_[2141] = vX_[3409] * 3.44 + vX_[3035] * -0.5824264;
+ vX_[264] = 0 - vX_[2141];
+ vX_[578] = vX_[3385] * 3.44 + (0 - vX_[3035]) * 0.1466472;
+ vX_[3464] = vX_[2638] + vX_[3385] * vX_[214] + vX_[387] * vX_[196] + vX_[3409] * vX_[205] + vX_[3035] * vX_[490] + vX_[2413] * vX_[542];
+ vX_[3261] = vX_[2057] * -1 + vX_[264] * vX_[813] + vX_[578] * vX_[884] + vX_[3464] * x_in[30];
+ vX_[2949] = vX_[2706] - vX_[2658];
+ vX_[3387] = vX_[2605] + vX_[2695];
+ vX_[376] = vX_[2949] * vX_[211] + vX_[3387] * vX_[209];
+ vX_[1069] = vX_[2724] - vX_[2658];
+ vX_[1437] = vX_[1069] * vX_[211];
+ vX_[783] = vX_[2949] * vX_[197] + vX_[3387] * vX_[211];
+ vX_[582] = vX_[1069] * vX_[209];
+ vX_[1468] = vX_[783] + vX_[582];
+ vX_[3411] = vX_[376] * vX_[197] + vX_[1437] * vX_[209] + vX_[1468] * vX_[211];
+ vX_[3058] = 0 - vX_[3411];
+ vX_[3303] = vX_[2658] + vX_[783] * vX_[197] + vX_[1437] * vX_[211];
+ vX_[3017] = 0 - vX_[3303];
+ vX_[3488] = vX_[2658] + vX_[376] * vX_[211] + vX_[582] * vX_[209];
+ vX_[3347] = vX_[2726] + vX_[2732];
+ vX_[3448] = vX_[2602] + vX_[2581] - vX_[3347];
+ vX_[3312] = vX_[2716] + vX_[2731];
+ vX_[1499] = 0 - (vX_[2600] + vX_[2580]) + vX_[3312];
+ vX_[677] = (vX_[3312] * vX_[197] + vX_[3347] * vX_[211]) * -1;
+ vX_[1413] = 0 - (vX_[3448] * vX_[211] + vX_[1499] * vX_[209]) + vX_[677];
+ vX_[3018] = vX_[1413] + vX_[3303] * vX_[198];
+ vX_[404] = 0 - vX_[3018];
+ vX_[971] = (vX_[3312] * vX_[211] + vX_[3347] * vX_[209]) * -1;
+ vX_[3357] = vX_[3448] * vX_[197] + vX_[1499] * vX_[211] + vX_[971];
+ vX_[729] = 0 - vX_[3488];
+ vX_[1077] = vX_[3357] + vX_[3411] * vX_[198] + vX_[729] * vX_[127];
+ vX_[550] = vX_[2603] + vX_[2699];
+ vX_[683] = vX_[2560] + vX_[2698];
+ vX_[781] = vX_[550] * vX_[209] + vX_[683] * vX_[211];
+ vX_[2178] = vX_[2586] + vX_[2533];
+ vX_[1248] = vX_[2475] + vX_[2697];
+ vX_[1078] = vX_[2178] * vX_[211] + vX_[1248] * vX_[209];
+ vX_[458] = vX_[781] * vX_[197] + vX_[1078] * vX_[211];
+ vX_[3275] = vX_[2610] + vX_[2714];
+ vX_[738] = vX_[2737] + vX_[2734];
+ vX_[467] = 0 - vX_[738];
+ vX_[764] = vX_[3275] * vX_[211] + vX_[467] * vX_[209];
+ vX_[1066] = 0 - vX_[764];
+ vX_[1199] = vX_[458] + vX_[1066] * vX_[127] + vX_[3017] * vX_[213];
+ vX_[3405] = 0 - vX_[1199];
+ vX_[3412] = vX_[550] * vX_[211] + vX_[683] * vX_[197];
+ vX_[1081] = vX_[2178] * vX_[197] + vX_[1248] * vX_[211];
+ vX_[3489] = vX_[3412] * vX_[211] + vX_[1081] * vX_[209];
+ vX_[738] = 0 - vX_[738];
+ vX_[773] = vX_[3275] * vX_[197] + vX_[738] * vX_[211];
+ vX_[644] = 0 - vX_[773];
+ vX_[1466] = vX_[3489] + vX_[644] * vX_[198] + vX_[3488] * vX_[213];
+ vX_[1324] = vX_[3412] * vX_[197] + vX_[1081] * vX_[211];
+ vX_[1550] = vX_[1324] + vX_[764] * vX_[198];
+ vX_[1714] = vX_[781] * vX_[211] + vX_[1078] * vX_[209];
+ vX_[1671] = vX_[1714] + vX_[773] * vX_[127] + vX_[3058] * vX_[213];
+ vX_[1370] = 0 - vX_[1550] + vX_[1671];
+ vX_[753] = 0 - vX_[3411];
+ vX_[1106] = 0 - vX_[3303];
+ vX_[3017] = vX_[3058] * vX_[545] + vX_[3017] * vX_[492] + vX_[3488] * vX_[176] + vX_[404] * vX_[214] + vX_[1077] * vX_[225] + vX_[3405] * vX_[205] + vX_[1466] * vX_[199] + vX_[1370] * vX_[196] + vX_[3411] * vX_[539] + vX_[753] * vX_[542] + vX_[1106] * vX_[491] + vX_[3488] * vX_[495];
+ vX_[3058] = 0 - vX_[2343];
+ vX_[564] = vX_[387] * -1 + vX_[2334] * -0.08;
+ vX_[775] = vX_[564] + vX_[3383] * -0.35;
+ vX_[1297] = vX_[3383] * vX_[131] + vX_[3560] * vX_[137];
+ vX_[1060] = vX_[3383] * vX_[129] + vX_[3560] * vX_[131];
+ vX_[1349] = vX_[775] * 0.881 + (0 - vX_[1297]) * 0.110125 + vX_[1060] * -0.000881;
+ vX_[1366] = vX_[2207] * -0.00370574557885489 + vX_[1769] * 0.880970354035369;
+ vX_[2367] = vX_[3058] * vX_[902] + vX_[1349] * vX_[899] + vX_[1366] * x_in[32];
+ vX_[3512] = 0 - vX_[1641] + vX_[3512];
+ vX_[1641] = 0 - vX_[1349];
+ vX_[1379] = vX_[2207] * 0.417781802643138 + vX_[1769] * -0.00370574557885489;
+ vX_[1341] = vX_[3512] * vX_[902] + vX_[1641] * vX_[907] - vX_[1379] * x_in[32];
+ vX_[1331] = 0 - vX_[2053];
+ vX_[1076] = vX_[564] * 3.146 + (0 - vX_[3383]) * 0.47422804 + vX_[3560] * 0.0825825;
+ vX_[1059] = vX_[3436] * vX_[173] + vX_[757] * vX_[172] + vX_[3383] * vX_[149] + vX_[3560] * vX_[147];
+ vX_[1174] = vX_[2367] * vX_[131] + vX_[1341] * vX_[129] + vX_[1331] * vX_[890] + vX_[1076] * vX_[887] + vX_[1059] * x_in[31];
+ vX_[382] = 0 - vX_[1983] + vX_[382];
+ vX_[1983] = 0 - vX_[1076];
+ vX_[1296] = vX_[3436] * vX_[171] + vX_[757] * vX_[173] + vX_[3383] * vX_[155] + vX_[3560] * vX_[154];
+ vX_[1196] = vX_[2367] * vX_[911] + vX_[1341] * vX_[131] + vX_[382] * vX_[890] + vX_[1983] * vX_[897] - vX_[1296] * x_in[31];
+ vX_[1428] = vX_[387] * -3.44;
+ vX_[1058] = vX_[2334] * 0.1466472;
+ vX_[794] = vX_[2413] * -0.5824264;
+ vX_[1187] = 0 - vX_[1428] + vX_[1058] - vX_[794];
+ vX_[1372] = 0 - vX_[578];
+ vX_[1157] = vX_[2504] + vX_[3385] * vX_[225] + vX_[387] * vX_[199] + vX_[3409] * vX_[196] + vX_[3035] * vX_[539] + vX_[2413] * vX_[489];
+ vX_[1347] = vX_[1174] * vX_[903] + vX_[1196] * vX_[148] + vX_[1187] * vX_[813] + vX_[1372] * vX_[882] - vX_[1157] * x_in[30];
+ vX_[1787] = vX_[2706] + vX_[2724] + vX_[2658] - vX_[3303] - vX_[3488];
+ vX_[1883] = 0 - vX_[1787];
+ vX_[677] = vX_[677] + vX_[1883] * vX_[198];
+ vX_[971] = vX_[971] + vX_[1787] * vX_[127];
+ vX_[2011] = 0 - vX_[1077];
+ vX_[1901] = 0 - vX_[1466];
+ vX_[1904] = vX_[2736] + vX_[2733] + vX_[683] + vX_[1248] - vX_[1324] - vX_[1714];
+ vX_[1671] = vX_[1904] - vX_[1671];
+ vX_[1446] = 0 - vX_[764];
+ vX_[1427] = 0 - vX_[3411];
+ vX_[1298] = 0 - vX_[3488];
+ vX_[1336] = vX_[2694] - vX_[2501];
+ vX_[1337] = vX_[2701] - vX_[2501];
+ vX_[1645] = vX_[2579] + vX_[2696];
+ vX_[1558] = vX_[2585] + vX_[2704];
+ vX_[1610] = vX_[2569] + vX_[2703];
+ vX_[1247] = 0 - vX_[1610];
+ vX_[2677] = vX_[1336] * vX_[211] + vX_[1645] * vX_[209];
+ vX_[1792] = vX_[1337] * vX_[211];
+ vX_[1548] = vX_[1336] * vX_[197] + vX_[1645] * vX_[211];
+ vX_[1494] = vX_[1337] * vX_[209];
+ vX_[1604] = vX_[1548] + vX_[1494];
+ vX_[1639] = vX_[775] * -0.000881 + vX_[1060] * -0.000227999999999999;
+ vX_[1456] = vX_[775] * 0.110125 + (0 - vX_[1297]) * 0.025713;
+ vX_[1471] = (0 - vX_[2207]) * -0.000881;
+ vX_[1763] = (0 - vX_[1769]) * 0.110125;
+ vX_[1767] = vX_[1471] + vX_[1763];
+ vX_[1767] = vX_[3058] * vX_[913] + vX_[3512] * vX_[905] + vX_[1639] * vX_[907] + vX_[1456] * vX_[899] + vX_[1767] * vX_[902] + vX_[1767] * vX_[902];
+ vX_[3512] = vX_[564] * 0.0825825 + (0 - vX_[2175]) * -0.000102 + vX_[3383] * -0.007418 + vX_[3560] * 0.002735;
+ vX_[3058] = vX_[564] * 0.47422804 + vX_[2175] * 2.1e-05 + (0 - vX_[3383]) * 0.084376 + (0 - vX_[3560]) * -0.007418;
+ vX_[1453] = (0 - vX_[3436]) * 0.0825825;
+ vX_[1609] = (0 - vX_[757]) * 0.47422804;
+ vX_[1549] = vX_[3383] * -0.000102;
+ vX_[1112] = (0 - vX_[3560]) * 2.1e-05;
+ vX_[1593] = vX_[1453] + vX_[1609] + vX_[1549] + vX_[1112];
+ vX_[1593] = vX_[1767] + vX_[2367] * vX_[912] + vX_[1341] * vX_[130] + vX_[1331] * vX_[904] + vX_[382] * vX_[895] + vX_[3512] * vX_[897] + vX_[3058] * vX_[887] + vX_[1593] * vX_[890] + vX_[1593] * vX_[890];
+ vX_[382] = vX_[387] * -0.5824264 + (0 - vX_[2334]) * 0.022734 + vX_[3035] * 3.6e-05 + vX_[2413] * -0.133138;
+ vX_[1331] = vX_[387] * 0.1466472 + vX_[2334] * 0.009466 + (0 - vX_[3035]) * -5.1e-05 + vX_[2413] * 0.022734;
+ vX_[1592] = (0 - vX_[3385]) * -0.5824264;
+ vX_[1944] = (0 - vX_[3409]) * 0.1466472;
+ vX_[2087] = (0 - vX_[2334]) * 3.6e-05;
+ vX_[2199] = (0 - vX_[2413]) * -5.1e-05;
+ vX_[2088] = vX_[1592] + vX_[1944] + vX_[2087] - vX_[2199];
+ vX_[2311] = vX_[2568] + vX_[3385] * vX_[230] + vX_[387] * vX_[489] + vX_[3409] * vX_[542] + vX_[3035] * vX_[541] + vX_[2413] * vX_[193];
+ vX_[2088] = vX_[1174] * vX_[886] + vX_[1196] * vX_[163] + vX_[1593] * -1 + vX_[2141] * vX_[815] + vX_[1372] * vX_[894] + vX_[382] * vX_[813] + vX_[1331] * vX_[884] + vX_[2088] * vX_[882] + vX_[2088] * vX_[882] + vX_[2311] * x_in[30];
+ vX_[1783] = vX_[2207] * 0.110125 + vX_[1769] * -0.000881 + vX_[1783] * 0.025941;
+ vX_[1060] = vX_[775] * -0.000881 + vX_[1060] * 0.000468;
+ vX_[1763] = vX_[2343] * vX_[900] + vX_[1641] * vX_[905] + vX_[1639] * vX_[902] + vX_[1783] * vX_[899] + vX_[1763] * vX_[907] + vX_[1763] * vX_[907] + vX_[1060] * x_in[32];
+ vX_[1297] = vX_[775] * -0.110125 + vX_[1297] * 0.026409;
+ jac[1182] = vX_[1379] * vX_[909] + vX_[1366] * vX_[913] + vX_[1297] * vX_[938] + vX_[1060] * vX_[907] + vX_[1767];
+ vX_[1297] = vX_[338] * vX_[900] + vX_[1349] * vX_[913] + vX_[1456] * vX_[902] + vX_[1783] * vX_[907] + vX_[1471] * vX_[899] + vX_[1471] * vX_[899] - vX_[1297] * x_in[32];
+ vX_[1783] = vX_[3436] * 0.47422804 + vX_[757] * 0.0825825 + vX_[2175] * 0.081641 + (0 - vX_[3383]) * 2.1e-05 + vX_[3560] * -0.000102;
+ vX_[1471] = (0 - vX_[2175]) * -0.007418;
+ vX_[1112] = vX_[1609] + vX_[1471] - vX_[1112];
+ vX_[1609] = vX_[564] * vX_[142] + vX_[3436] * vX_[154] + vX_[757] * vX_[147] + vX_[3383] * vX_[188] + vX_[3560] * vX_[184];
+ vX_[1112] = vX_[3299] * -0.35 + vX_[1763] * vX_[131] + vX_[1297] * vX_[129] + vX_[2053] * vX_[888] + vX_[1983] * vX_[895] + vX_[3512] * vX_[890] + vX_[1783] * vX_[887] + vX_[1112] * vX_[897] + vX_[1112] * vX_[897] + vX_[1609] * x_in[31];
+ vX_[1471] = vX_[1453] - vX_[1471] - vX_[1549];
+ vX_[1549] = vX_[564] * vX_[151] + vX_[3436] * vX_[155] + vX_[757] * vX_[149] + vX_[3383] * vX_[182] + vX_[3560] * vX_[188];
+ jac[1146] = vX_[1296] * vX_[908] + vX_[1059] * vX_[904] + vX_[1549] * vX_[915] + vX_[1609] * vX_[897] + vX_[1593];
+ vX_[1549] = vX_[1763] * vX_[137] + vX_[1297] * vX_[131] + vX_[577] * vX_[888] + vX_[1076] * vX_[904] + vX_[3058] * vX_[890] + vX_[1783] * vX_[897] + vX_[1471] * vX_[887] + vX_[1471] * vX_[887] - vX_[1549] * x_in[31];
+ vX_[794] = vX_[1428] - vX_[1058] + vX_[794];
+ vX_[1058] = vX_[3385] * 0.1466472 + vX_[3409] * -0.5824264 + vX_[2334] * -5.1e-05 + (0 - vX_[3035]) * -0.123672 + (0 - vX_[2413]) * 3.6e-05;
+ vX_[1428] = vX_[3035] * 0.022734;
+ vX_[2087] = vX_[1592] - vX_[2087] - vX_[1428];
+ vX_[1592] = vX_[2573] + vX_[3385] * vX_[167] + vX_[387] * vX_[539] + vX_[3409] * vX_[490] + vX_[3035] * vX_[488] + vX_[2413] * vX_[541];
+ vX_[2087] = vX_[1112] * vX_[157] + vX_[1549] * vX_[148] + vX_[794] * vX_[815] + vX_[578] * vX_[814] + vX_[1058] * vX_[813] + vX_[1331] * vX_[882] + vX_[2087] * vX_[884] + vX_[2087] * vX_[884] - vX_[1592] * x_in[30];
+ vX_[1331] = 0 - vX_[677];
+ vX_[578] = 0 - vX_[971];
+ vX_[1904] = 0 - vX_[1904] + vX_[1550];
+ vX_[1550] = 0 - vX_[773];
+ vX_[1610] = 0 - vX_[1610];
+ jac[462] = 0 - (0 - (vX_[2504] * vX_[1754] + vX_[2506] * vX_[941] + vX_[3261] * x_in[22]) + (vX_[2504] * vX_[1810] + vX_[2604] * vX_[941] + vX_[3017] * vX_[211] + vX_[3261] * x_in[20]) * 0.3735 - (vX_[2638] * vX_[1855] + vX_[2389] * vX_[944] + vX_[1347] * x_in[23]) + (vX_[2638] * vX_[1898] + vX_[2588] * vX_[944] + vX_[1347] * x_in[19]) * -0.3735 + (vX_[2638] * vX_[1899] + vX_[2543] * vX_[944] + (vX_[1066] * vX_[492] + vX_[773] * vX_[545] + vX_[1787] * vX_[224] + vX_[729] * vX_[226] + vX_[677] * vX_[196] + vX_[971] * vX_[205] + vX_[2011] * vX_[208] + vX_[1901] * vX_[225] + vX_[1671] * vX_[214] + vX_[1446] * vX_[490] + vX_[773] * vX_[542] + vX_[1427] * vX_[167] + vX_[1298] * vX_[497]) * -1 + vX_[1347] * x_in[18]) * -0.207 - (vX_[2573] * vX_[1898] + vX_[2568] * vX_[1810] + vX_[2604] * vX_[946] + vX_[2588] * vX_[917] + vX_[1336] * vX_[669] + vX_[1337] * vX_[667] + vX_[1645] * vX_[665] + vX_[1558] * vX_[648] + vX_[1247] * vX_[214] + vX_[2677] * vX_[351] + vX_[1792] * vX_[480] + vX_[1604] * vX_[196] + vX_[550] * vX_[637] + vX_[2178] * vX_[605] + vX_[3312] * vX_[232] + vX_[3347] * vX_[222] + vX_[683] * vX_[636] + vX_[1248] * vX_[602] + vX_[3412] * vX_[601] + vX_[781] * vX_[603] + vX_[1081] * vX_[544] + vX_[1078] * vX_[604] + vX_[3448] * vX_[221] + vX_[1499] * vX_[231] + vX_[2949] * vX_[551] + vX_[1069] * vX_[549] + vX_[3387] * vX_[547] + vX_[3275] * vX_[588] + vX_[738] * vX_[589] + vX_[376] * vX_[498] + vX_[1437] * vX_[494] + vX_[1468] * vX_[546] + vX_[3017] * vX_[212] + vX_[2088] * x_in[19] + vX_[2087] * x_in[20])) * vX_[3528] + (vX_[2504] * vX_[1855] + vX_[2573] * vX_[1810] + vX_[2389] * vX_[941] + vX_[2604] * vX_[917] + vX_[1336] * vX_[665] + vX_[1558] * vX_[214] + vX_[1548] * vX_[480] + vX_[2677] * vX_[196] + vX_[2178] * vX_[602] + vX_[3312] * vX_[222] + vX_[683] * vX_[637] + vX_[3412] * vX_[544] + vX_[781] * vX_[604] + vX_[3448] * vX_[231] + vX_[2949] * vX_[547] + vX_[3275] * vX_[589] + vX_[783] * vX_[494] + vX_[376] * vX_[546] + (vX_[764] * vX_[543] + vX_[644] * vX_[176] + vX_[3411] * vX_[226] + vX_[1883] * vX_[200] + vX_[3303] * vX_[215] + vX_[1331] * vX_[199] + vX_[3018] * vX_[208] + vX_[578] * vX_[196] + vX_[1199] * vX_[214] + vX_[1904] * vX_[225] + vX_[764] * vX_[539] + vX_[1550] * vX_[489] + vX_[3411] * vX_[230] + vX_[3303] * vX_[486]) * 0.207 + vX_[3261] * x_in[23] + vX_[2088] * x_in[20] + (vX_[2504] * vX_[1898] + vX_[2588] * vX_[941] + vX_[3017] * vX_[209] + vX_[3261] * x_in[19]) * 0.3735 + (vX_[2504] * vX_[1899] + vX_[2543] * vX_[941] + vX_[3261] * x_in[18]) * 0.207 - (vX_[2638] * vX_[1754] + vX_[2506] * vX_[944] + vX_[1347] * x_in[22]) + (vX_[2638] * vX_[1810] + vX_[2604] * vX_[944] + vX_[1347] * x_in[20]) * 0.3735 - (vX_[2568] * vX_[1898] + vX_[2588] * vX_[946] + vX_[1337] * vX_[666] + vX_[1645] * vX_[669] + vX_[1610] * vX_[648] + vX_[1792] * vX_[196] + vX_[1494] * vX_[351] + vX_[550] * vX_[636] + vX_[3347] * vX_[232] + vX_[1248] * vX_[605] + vX_[1081] * vX_[601] + vX_[1078] * vX_[603] + vX_[1499] * vX_[221] + vX_[1069] * vX_[548] + vX_[3387] * vX_[551] + vX_[467] * vX_[588] + vX_[1437] * vX_[546] + vX_[582] * vX_[498] + vX_[3017] * vX_[210] + vX_[2087] * x_in[19])) * vX_[989];
+ vX_[1645] = vX_[2728] * -1 + vX_[2711] * 0.207;
+ vX_[1337] = vX_[2738] * vX_[125] + vX_[2545] * vX_[893] + vX_[2711] * vX_[891] + vX_[2742] * vX_[892] + vX_[2678] * vX_[126];
+ vX_[1336] = vX_[2711] * vX_[197] + vX_[2742] * vX_[211];
+ vX_[1883] = vX_[1645] * vX_[148] + vX_[1337] * vX_[903] + vX_[1336] * vX_[886];
+ vX_[1787] = vX_[1645] * vX_[128] + vX_[1337] * vX_[148] + vX_[1336] * vX_[163];
+ vX_[3017] = vX_[1336] * -1;
+ vX_[644] = vX_[1883] * 1 / vX_[145];
+ vX_[738] = vX_[1787] * 1 / vX_[145];
+ vX_[1081] = vX_[3017] * 1 / vX_[145];
+ vX_[3412] = vX_[2678] * -1;
+ vX_[1066] = vX_[1645] * 1 / vX_[194];
+ vX_[467] = vX_[2738] * vX_[197] + vX_[2545] * vX_[879] + vX_[2711] * vX_[212] + vX_[2742] * vX_[210] + vX_[2678] * vX_[880];
+ vX_[3275] = vX_[467] * 1 / vX_[194];
+ vX_[1078] = vX_[1337] * 1 / vX_[194];
+ vX_[1248] = vX_[3412] * 1 / vX_[194];
+ vX_[2178] = vX_[1336] * 1 / vX_[194];
+ vX_[781] = vX_[2711] * vX_[211] + vX_[2742] * vX_[209];
+ vX_[683] = vX_[781] * 1 / vX_[194];
+ vX_[3412] = vX_[3412] - (vX_[2780] + vX_[1066] * vX_[206] + vX_[3275] * vX_[168] + vX_[1078] * vX_[158] + vX_[1248] * vX_[194] + vX_[2178] * vX_[220] + vX_[683] * vX_[229]);
+ vX_[550] = vX_[3412] * vX_[148] + vX_[781] * vX_[157];
+ vX_[729] = vX_[550] * 1 / vX_[145];
+ vX_[1499] = vX_[3412] * vX_[128] + vX_[781] * vX_[148];
+ vX_[3312] = vX_[1499] * 1 / vX_[145];
+ vX_[3017] = vX_[3017] - (vX_[2785] + vX_[644] * vX_[152] + vX_[738] * vX_[143] + vX_[1081] * vX_[145] + vX_[729] * 2.1e-05 + vX_[3312] * -0.000102);
+ vX_[3448] = vX_[1883] * vX_[129] + vX_[1787] * vX_[131] + vX_[3017] * vX_[130];
+ vX_[3347] = vX_[1883] * vX_[131] + vX_[1787] * vX_[911] + vX_[3017] * vX_[912];
+ vX_[1468] = vX_[3017] - (vX_[3347] * 38.1956380581338 * 0.110125 + vX_[3448] * 38.1956380581338 * 0.000881 + vX_[3017] * 38.1956380581338 * 0.026181);
+ vX_[582] = vX_[3448] * 0.881 + (0 - vX_[1468]) * -0.000881;
+ vX_[783] = vX_[3347] * -0.881;
+ vX_[1437] = vX_[1468] * 0.110125;
+ vX_[1069] = vX_[783] - vX_[1437];
+ vX_[376] = vX_[582] * vX_[907] + vX_[1069] * vX_[899];
+ vX_[3387] = vX_[1787] * 3.146 + (0 - vX_[3017]) * 0.0825825;
+ vX_[2949] = vX_[1883] * -3.146;
+ vX_[2568] = vX_[3017] * 0.47422804;
+ vX_[2573] = vX_[2949] - vX_[2568];
+ vX_[2638] = vX_[376] + vX_[3387] * vX_[897] + vX_[2573] * vX_[887];
+ vX_[2504] = vX_[1337] * 3.44 + vX_[1336] * -0.5824264;
+ vX_[1471] = 0 - vX_[2504];
+ vX_[1783] = vX_[1645] * 3.44 + (0 - vX_[1336]) * 0.1466472;
+ vX_[3058] = vX_[2571] + vX_[1645] * vX_[214] + vX_[467] * vX_[196] + vX_[1337] * vX_[205] + vX_[1336] * vX_[490] + vX_[781] * vX_[542];
+ vX_[1076] = vX_[2638] * -1 + vX_[1471] * vX_[813] + vX_[1783] * vX_[884] + vX_[3058] * x_in[30];
+ vX_[577] = vX_[2856] - vX_[2683];
+ vX_[1609] = vX_[2702] + vX_[2845];
+ vX_[1593] = vX_[577] * vX_[211] + vX_[1609] * vX_[209];
+ vX_[1296] = vX_[2874] - vX_[2683];
+ vX_[1059] = vX_[1296] * vX_[211];
+ vX_[1453] = vX_[577] * vX_[197] + vX_[1609] * vX_[211];
+ vX_[3512] = vX_[1296] * vX_[209];
+ vX_[1983] = vX_[1453] + vX_[3512];
+ vX_[2053] = vX_[1593] * vX_[197] + vX_[1059] * vX_[209] + vX_[1983] * vX_[211];
+ vX_[3299] = 0 - vX_[2053];
+ vX_[1456] = vX_[2683] + vX_[1453] * vX_[197] + vX_[1059] * vX_[211];
+ vX_[1349] = 0 - vX_[1456];
+ vX_[338] = vX_[2683] + vX_[1593] * vX_[211] + vX_[3512] * vX_[209];
+ vX_[1060] = vX_[2876] + vX_[2882];
+ vX_[1767] = vX_[2626] + vX_[2771] - vX_[1060];
+ vX_[1379] = vX_[2866] + vX_[2881];
+ vX_[1366] = 0 - (vX_[2712] + vX_[2687]) + vX_[1379];
+ vX_[775] = (vX_[1379] * vX_[197] + vX_[1060] * vX_[211]) * -1;
+ vX_[1639] = 0 - (vX_[1767] * vX_[211] + vX_[1366] * vX_[209]) + vX_[775];
+ vX_[1641] = vX_[1639] + vX_[1456] * vX_[198];
+ vX_[2343] = 0 - vX_[1641];
+ vX_[2207] = (vX_[1379] * vX_[211] + vX_[1060] * vX_[209]) * -1;
+ vX_[1769] = vX_[1767] * vX_[197] + vX_[1366] * vX_[211] + vX_[2207];
+ vX_[1372] = 0 - vX_[338];
+ vX_[1789] = vX_[1769] + vX_[2053] * vX_[198] + vX_[1372] * vX_[127];
+ vX_[1602] = vX_[2721] + vX_[2849];
+ vX_[1724] = vX_[2723] + vX_[2848];
+ vX_[1597] = vX_[1602] * vX_[209] + vX_[1724] * vX_[211];
+ vX_[1729] = vX_[2713] + vX_[2769];
+ vX_[1817] = vX_[2727] + vX_[2847];
+ vX_[1733] = vX_[1729] * vX_[211] + vX_[1817] * vX_[209];
+ vX_[1837] = vX_[1597] * vX_[197] + vX_[1733] * vX_[211];
+ vX_[1939] = vX_[2781] + vX_[2864];
+ vX_[3193] = vX_[2887] + vX_[2884];
+ vX_[2100] = 0 - vX_[3193];
+ vX_[2030] = vX_[1939] * vX_[211] + vX_[2100] * vX_[209];
+ vX_[1914] = 0 - vX_[2030];
+ vX_[1879] = vX_[1837] + vX_[1914] * vX_[127] + vX_[1349] * vX_[213];
+ vX_[1822] = 0 - vX_[1879];
+ vX_[1916] = vX_[1602] * vX_[211] + vX_[1724] * vX_[197];
+ vX_[1882] = vX_[1729] * vX_[197] + vX_[1817] * vX_[211];
+ vX_[1799] = vX_[1916] * vX_[211] + vX_[1882] * vX_[209];
+ vX_[3193] = 0 - vX_[3193];
+ vX_[2136] = vX_[1939] * vX_[197] + vX_[3193] * vX_[211];
+ vX_[1860] = 0 - vX_[2136];
+ vX_[1867] = vX_[1799] + vX_[1860] * vX_[198] + vX_[338] * vX_[213];
+ vX_[2033] = vX_[1916] * vX_[197] + vX_[1882] * vX_[211];
+ vX_[1842] = vX_[2033] + vX_[2030] * vX_[198];
+ vX_[1756] = vX_[1597] * vX_[211] + vX_[1733] * vX_[209];
+ vX_[1863] = vX_[1756] + vX_[2136] * vX_[127] + vX_[3299] * vX_[213];
+ vX_[2457] = 0 - vX_[1842] + vX_[1863];
+ vX_[2426] = 0 - vX_[2053];
+ vX_[2762] = 0 - vX_[1456];
+ vX_[1349] = vX_[3299] * vX_[545] + vX_[1349] * vX_[492] + vX_[338] * vX_[176] + vX_[2343] * vX_[214] + vX_[1789] * vX_[225] + vX_[1822] * vX_[205] + vX_[1867] * vX_[199] + vX_[2457] * vX_[196] + vX_[2053] * vX_[539] + vX_[2426] * vX_[542] + vX_[2762] * vX_[491] + vX_[338] * vX_[495];
+ vX_[3299] = 0 - vX_[582];
+ vX_[2792] = vX_[467] * -1 + vX_[3412] * -0.08;
+ vX_[2756] = vX_[2792] + vX_[550] * -0.35;
+ vX_[2351] = vX_[550] * vX_[131] + vX_[1499] * vX_[137];
+ vX_[1940] = vX_[550] * vX_[129] + vX_[1499] * vX_[131];
+ vX_[1932] = vX_[2756] * 0.881 + (0 - vX_[2351]) * 0.110125 + vX_[1940] * -0.000881;
+ vX_[1905] = vX_[3347] * -0.00370574557885489 + vX_[3448] * 0.880970354035369;
+ vX_[1859] = vX_[3299] * vX_[902] + vX_[1932] * vX_[899] + vX_[1905] * x_in[32];
+ vX_[1437] = 0 - vX_[783] + vX_[1437];
+ vX_[783] = 0 - vX_[1932];
+ vX_[2304] = vX_[3347] * 0.417781802643138 + vX_[3448] * -0.00370574557885489;
+ vX_[1951] = vX_[1437] * vX_[902] + vX_[783] * vX_[907] - vX_[2304] * x_in[32];
+ vX_[2184] = 0 - vX_[3387];
+ vX_[2320] = vX_[2792] * 3.146 + (0 - vX_[550]) * 0.47422804 + vX_[1499] * 0.0825825;
+ vX_[418] = vX_[2710] + vX_[1883] * vX_[173] + vX_[1787] * vX_[172] + vX_[550] * vX_[149] + vX_[1499] * vX_[147];
+ vX_[2648] = vX_[1859] * vX_[131] + vX_[1951] * vX_[129] + vX_[2184] * vX_[890] + vX_[2320] * vX_[887] + vX_[418] * x_in[31];
+ vX_[2568] = 0 - vX_[2949] + vX_[2568];
+ vX_[2949] = 0 - vX_[2320];
+ vX_[2321] = vX_[2715] + vX_[1883] * vX_[171] + vX_[1787] * vX_[173] + vX_[550] * vX_[155] + vX_[1499] * vX_[154];
+ vX_[2101] = vX_[1859] * vX_[911] + vX_[1951] * vX_[131] + vX_[2568] * vX_[890] + vX_[2949] * vX_[897] - vX_[2321] * x_in[31];
+ vX_[2080] = vX_[467] * -3.44;
+ vX_[2171] = vX_[3412] * 0.1466472;
+ vX_[2097] = vX_[781] * -0.5824264;
+ vX_[2090] = 0 - vX_[2080] + vX_[2171] - vX_[2097];
+ vX_[1970] = 0 - vX_[1783];
+ vX_[2297] = vX_[2752] + vX_[1645] * vX_[225] + vX_[467] * vX_[199] + vX_[1337] * vX_[196] + vX_[1336] * vX_[539] + vX_[781] * vX_[489];
+ vX_[2177] = vX_[2648] * vX_[903] + vX_[2101] * vX_[148] + vX_[2090] * vX_[813] + vX_[1970] * vX_[882] - vX_[2297] * x_in[30];
+ vX_[2121] = vX_[2856] + vX_[2874] + vX_[2683] - vX_[1456] - vX_[338];
+ vX_[2316] = 0 - vX_[2121];
+ vX_[775] = vX_[775] + vX_[2316] * vX_[198];
+ vX_[2207] = vX_[2207] + vX_[2121] * vX_[127];
+ vX_[2099] = 0 - vX_[1789];
+ vX_[1978] = 0 - vX_[1867];
+ vX_[2179] = vX_[2886] + vX_[2883] + vX_[1724] + vX_[1817] - vX_[2033] - vX_[1756];
+ vX_[1863] = vX_[2179] - vX_[1863];
+ vX_[2641] = 0 - vX_[2030];
+ vX_[2618] = 0 - vX_[2053];
+ vX_[3061] = 0 - vX_[338];
+ vX_[2822] = vX_[2844] - vX_[2800];
+ vX_[3055] = vX_[2851] - vX_[2800];
+ vX_[2563] = vX_[2777] + vX_[2846];
+ vX_[2377] = vX_[2722] + vX_[2854];
+ vX_[2315] = vX_[2675] + vX_[2853];
+ vX_[2211] = 0 - vX_[2315];
+ vX_[2096] = vX_[2822] * vX_[211] + vX_[2563] * vX_[209];
+ vX_[2540] = vX_[3055] * vX_[211];
+ vX_[2529] = vX_[2822] * vX_[197] + vX_[2563] * vX_[211];
+ vX_[2765] = vX_[3055] * vX_[209];
+ vX_[2599] = vX_[2529] + vX_[2765];
+ vX_[369] = vX_[2756] * -0.000881 + vX_[1940] * -0.000227999999999999;
+ vX_[2829] = vX_[2756] * 0.110125 + (0 - vX_[2351]) * 0.025713;
+ vX_[2608] = (0 - vX_[3347]) * -0.000881;
+ vX_[2526] = (0 - vX_[3448]) * 0.110125;
+ vX_[2372] = vX_[2608] + vX_[2526];
+ vX_[2372] = vX_[3299] * vX_[913] + vX_[1437] * vX_[905] + vX_[369] * vX_[907] + vX_[2829] * vX_[899] + vX_[2372] * vX_[902] + vX_[2372] * vX_[902];
+ vX_[1437] = vX_[2792] * 0.0825825 + (0 - vX_[3017]) * -0.000102 + vX_[550] * -0.007418 + vX_[1499] * 0.002735;
+ vX_[3299] = vX_[2792] * 0.47422804 + vX_[3017] * 2.1e-05 + (0 - vX_[550]) * 0.084376 + (0 - vX_[1499]) * -0.007418;
+ vX_[2463] = (0 - vX_[1883]) * 0.0825825;
+ vX_[2578] = (0 - vX_[1787]) * 0.47422804;
+ vX_[2644] = vX_[550] * -0.000102;
+ vX_[2797] = (0 - vX_[1499]) * 2.1e-05;
+ vX_[2947] = vX_[2463] + vX_[2578] + vX_[2644] + vX_[2797];
+ vX_[2947] = vX_[2372] + vX_[1859] * vX_[912] + vX_[1951] * vX_[130] + vX_[2184] * vX_[904] + vX_[2568] * vX_[895] + vX_[1437] * vX_[897] + vX_[3299] * vX_[887] + vX_[2947] * vX_[890] + vX_[2947] * vX_[890];
+ vX_[2568] = vX_[467] * -0.5824264 + (0 - vX_[3412]) * 0.022734 + vX_[1336] * 3.6e-05 + vX_[781] * -0.133138;
+ vX_[2184] = vX_[467] * 0.1466472 + vX_[3412] * 0.009466 + (0 - vX_[1336]) * -5.1e-05 + vX_[781] * 0.022734;
+ vX_[2500] = (0 - vX_[1645]) * -0.5824264;
+ vX_[2517] = (0 - vX_[1337]) * 0.1466472;
+ vX_[2619] = (0 - vX_[3412]) * 3.6e-05;
+ vX_[2384] = (0 - vX_[781]) * -5.1e-05;
+ vX_[2385] = vX_[2500] + vX_[2517] + vX_[2619] - vX_[2384];
+ vX_[2522] = vX_[2744] + vX_[1645] * vX_[230] + vX_[467] * vX_[489] + vX_[1337] * vX_[542] + vX_[1336] * vX_[541] + vX_[781] * vX_[193];
+ vX_[2385] = vX_[2648] * vX_[886] + vX_[2101] * vX_[163] + vX_[2947] * -1 + vX_[2504] * vX_[815] + vX_[1970] * vX_[894] + vX_[2568] * vX_[813] + vX_[2184] * vX_[884] + vX_[2385] * vX_[882] + vX_[2385] * vX_[882] + vX_[2522] * x_in[30];
+ vX_[1468] = vX_[3347] * 0.110125 + vX_[3448] * -0.000881 + vX_[1468] * 0.025941;
+ vX_[1940] = vX_[2756] * -0.000881 + vX_[1940] * 0.000468;
+ vX_[2526] = vX_[582] * vX_[900] + vX_[783] * vX_[905] + vX_[369] * vX_[902] + vX_[1468] * vX_[899] + vX_[2526] * vX_[907] + vX_[2526] * vX_[907] + vX_[1940] * x_in[32];
+ vX_[2351] = vX_[2756] * -0.110125 + vX_[2351] * 0.026409;
+ jac[1183] = vX_[2304] * vX_[909] + vX_[1905] * vX_[913] + vX_[2351] * vX_[938] + vX_[1940] * vX_[907] + vX_[2372];
+ vX_[2351] = vX_[1069] * vX_[900] + vX_[1932] * vX_[913] + vX_[2829] * vX_[902] + vX_[1468] * vX_[907] + vX_[2608] * vX_[899] + vX_[2608] * vX_[899] - vX_[2351] * x_in[32];
+ vX_[1468] = vX_[1883] * 0.47422804 + vX_[1787] * 0.0825825 + vX_[3017] * 0.081641 + (0 - vX_[550]) * 2.1e-05 + vX_[1499] * -0.000102;
+ vX_[2608] = (0 - vX_[3017]) * -0.007418;
+ vX_[2797] = vX_[2578] + vX_[2608] - vX_[2797];
+ vX_[2578] = vX_[2627] + vX_[2792] * vX_[142] + vX_[1883] * vX_[154] + vX_[1787] * vX_[147] + vX_[550] * vX_[188] + vX_[1499] * vX_[184];
+ vX_[2797] = vX_[376] * -0.35 + vX_[2526] * vX_[131] + vX_[2351] * vX_[129] + vX_[3387] * vX_[888] + vX_[2949] * vX_[895] + vX_[1437] * vX_[890] + vX_[1468] * vX_[887] + vX_[2797] * vX_[897] + vX_[2797] * vX_[897] + vX_[2578] * x_in[31];
+ vX_[2608] = vX_[2463] - vX_[2608] - vX_[2644];
+ vX_[2644] = vX_[2784] + vX_[2792] * vX_[151] + vX_[1883] * vX_[155] + vX_[1787] * vX_[149] + vX_[550] * vX_[182] + vX_[1499] * vX_[188];
+ jac[1147] = vX_[2321] * vX_[908] + vX_[418] * vX_[904] + vX_[2644] * vX_[915] + vX_[2578] * vX_[897] + vX_[2947];
+ vX_[2644] = vX_[2526] * vX_[137] + vX_[2351] * vX_[131] + vX_[2573] * vX_[888] + vX_[2320] * vX_[904] + vX_[3299] * vX_[890] + vX_[1468] * vX_[897] + vX_[2608] * vX_[887] + vX_[2608] * vX_[887] - vX_[2644] * x_in[31];
+ vX_[2097] = vX_[2080] - vX_[2171] + vX_[2097];
+ vX_[2171] = vX_[1645] * 0.1466472 + vX_[1337] * -0.5824264 + vX_[3412] * -5.1e-05 + (0 - vX_[1336]) * -0.123672 + (0 - vX_[781]) * 3.6e-05;
+ vX_[2080] = vX_[1336] * 0.022734;
+ vX_[2619] = vX_[2500] - vX_[2619] - vX_[2080];
+ vX_[2500] = vX_[2746] + vX_[1645] * vX_[167] + vX_[467] * vX_[539] + vX_[1337] * vX_[490] + vX_[1336] * vX_[488] + vX_[781] * vX_[541];
+ vX_[2619] = vX_[2797] * vX_[157] + vX_[2644] * vX_[148] + vX_[2097] * vX_[815] + vX_[1783] * vX_[814] + vX_[2171] * vX_[813] + vX_[2184] * vX_[882] + vX_[2619] * vX_[884] + vX_[2619] * vX_[884] - vX_[2500] * x_in[30];
+ vX_[2184] = 0 - vX_[775];
+ vX_[1783] = 0 - vX_[2207];
+ vX_[2179] = 0 - vX_[2179] + vX_[1842];
+ vX_[1842] = 0 - vX_[2136];
+ vX_[2315] = 0 - vX_[2315];
+ jac[463] = 0 - (0 - (vX_[2752] * vX_[1754] + vX_[2545] * vX_[941] + vX_[1076] * x_in[22]) + (vX_[2752] * vX_[1810] + vX_[2711] * vX_[941] + vX_[1349] * vX_[211] + vX_[1076] * x_in[20]) * 0.3735 - (vX_[2571] * vX_[1855] + vX_[2738] * vX_[944] + vX_[2177] * x_in[23]) + (vX_[2571] * vX_[1898] + vX_[2742] * vX_[944] + vX_[2177] * x_in[19]) * -0.3735 + (vX_[2571] * vX_[1899] + vX_[2678] * vX_[944] + (vX_[1914] * vX_[492] + vX_[2136] * vX_[545] + vX_[2121] * vX_[224] + vX_[1372] * vX_[226] + vX_[775] * vX_[196] + vX_[2207] * vX_[205] + vX_[2099] * vX_[208] + vX_[1978] * vX_[225] + vX_[1863] * vX_[214] + vX_[2641] * vX_[490] + vX_[2136] * vX_[542] + vX_[2618] * vX_[167] + vX_[3061] * vX_[497]) * -1 + vX_[2177] * x_in[18]) * -0.207 - (vX_[2746] * vX_[1898] + vX_[2744] * vX_[1810] + vX_[2711] * vX_[946] + vX_[2742] * vX_[917] + vX_[2822] * vX_[669] + vX_[3055] * vX_[667] + vX_[2563] * vX_[665] + vX_[2377] * vX_[648] + vX_[2211] * vX_[214] + vX_[2096] * vX_[351] + vX_[2540] * vX_[480] + vX_[2599] * vX_[196] + vX_[1602] * vX_[637] + vX_[1729] * vX_[605] + vX_[1379] * vX_[232] + vX_[1060] * vX_[222] + vX_[1724] * vX_[636] + vX_[1817] * vX_[602] + vX_[1916] * vX_[601] + vX_[1597] * vX_[603] + vX_[1882] * vX_[544] + vX_[1733] * vX_[604] + vX_[1767] * vX_[221] + vX_[1366] * vX_[231] + vX_[577] * vX_[551] + vX_[1296] * vX_[549] + vX_[1609] * vX_[547] + vX_[1939] * vX_[588] + vX_[3193] * vX_[589] + vX_[1593] * vX_[498] + vX_[1059] * vX_[494] + vX_[1983] * vX_[546] + vX_[1349] * vX_[212] + vX_[2385] * x_in[19] + vX_[2619] * x_in[20])) * vX_[3528] + (vX_[2752] * vX_[1855] + vX_[2746] * vX_[1810] + vX_[2738] * vX_[941] + vX_[2711] * vX_[917] + vX_[2822] * vX_[665] + vX_[2377] * vX_[214] + vX_[2529] * vX_[480] + vX_[2096] * vX_[196] + vX_[1729] * vX_[602] + vX_[1379] * vX_[222] + vX_[1724] * vX_[637] + vX_[1916] * vX_[544] + vX_[1597] * vX_[604] + vX_[1767] * vX_[231] + vX_[577] * vX_[547] + vX_[1939] * vX_[589] + vX_[1453] * vX_[494] + vX_[1593] * vX_[546] + (vX_[2030] * vX_[543] + vX_[1860] * vX_[176] + vX_[2053] * vX_[226] + vX_[2316] * vX_[200] + vX_[1456] * vX_[215] + vX_[2184] * vX_[199] + vX_[1641] * vX_[208] + vX_[1783] * vX_[196] + vX_[1879] * vX_[214] + vX_[2179] * vX_[225] + vX_[2030] * vX_[539] + vX_[1842] * vX_[489] + vX_[2053] * vX_[230] + vX_[1456] * vX_[486]) * 0.207 + vX_[1076] * x_in[23] + vX_[2385] * x_in[20] + (vX_[2752] * vX_[1898] + vX_[2742] * vX_[941] + vX_[1349] * vX_[209] + vX_[1076] * x_in[19]) * 0.3735 + (vX_[2752] * vX_[1899] + vX_[2678] * vX_[941] + vX_[1076] * x_in[18]) * 0.207 - (vX_[2571] * vX_[1754] + vX_[2545] * vX_[944] + vX_[2177] * x_in[22]) + (vX_[2571] * vX_[1810] + vX_[2711] * vX_[944] + vX_[2177] * x_in[20]) * 0.3735 - (vX_[2744] * vX_[1898] + vX_[2742] * vX_[946] + vX_[3055] * vX_[666] + vX_[2563] * vX_[669] + vX_[2315] * vX_[648] + vX_[2540] * vX_[196] + vX_[2765] * vX_[351] + vX_[1602] * vX_[636] + vX_[1060] * vX_[232] + vX_[1817] * vX_[605] + vX_[1882] * vX_[601] + vX_[1733] * vX_[603] + vX_[1366] * vX_[221] + vX_[1296] * vX_[548] + vX_[1609] * vX_[551] + vX_[2100] * vX_[588] + vX_[1059] * vX_[546] + vX_[3512] * vX_[498] + vX_[1349] * vX_[210] + vX_[2619] * x_in[19])) * vX_[989];
+ vX_[2563] = vX_[2878] * -1 + vX_[2861] * 0.207;
+ vX_[3055] = vX_[2888] * vX_[125] + vX_[2684] * vX_[893] + vX_[2861] * vX_[891] + vX_[2892] * vX_[892] + vX_[2828] * vX_[126];
+ vX_[2822] = vX_[2861] * vX_[197] + vX_[2892] * vX_[211];
+ vX_[2316] = vX_[2563] * vX_[148] + vX_[3055] * vX_[903] + vX_[2822] * vX_[886];
+ vX_[2121] = vX_[2563] * vX_[128] + vX_[3055] * vX_[148] + vX_[2822] * vX_[163];
+ vX_[1349] = vX_[2822] * -1;
+ vX_[1860] = vX_[2316] * 1 / vX_[145];
+ vX_[3193] = vX_[2121] * 1 / vX_[145];
+ vX_[1882] = vX_[1349] * 1 / vX_[145];
+ vX_[1916] = vX_[2828] * -1;
+ vX_[1914] = vX_[2563] * 1 / vX_[194];
+ vX_[2100] = vX_[2888] * vX_[197] + vX_[2684] * vX_[879] + vX_[2861] * vX_[212] + vX_[2892] * vX_[210] + vX_[2828] * vX_[880];
+ vX_[1939] = vX_[2100] * 1 / vX_[194];
+ vX_[1733] = vX_[3055] * 1 / vX_[194];
+ vX_[1817] = vX_[1916] * 1 / vX_[194];
+ vX_[1729] = vX_[2822] * 1 / vX_[194];
+ vX_[1597] = vX_[2861] * vX_[211] + vX_[2892] * vX_[209];
+ vX_[1724] = vX_[1597] * 1 / vX_[194];
+ vX_[1916] = vX_[1916] - (vX_[2890] + vX_[1914] * vX_[206] + vX_[1939] * vX_[168] + vX_[1733] * vX_[158] + vX_[1817] * vX_[194] + vX_[1729] * vX_[220] + vX_[1724] * vX_[229]);
+ vX_[1602] = vX_[1916] * vX_[148] + vX_[1597] * vX_[157];
+ vX_[1372] = vX_[1602] * 1 / vX_[145];
+ vX_[1366] = vX_[1916] * vX_[128] + vX_[1597] * vX_[148];
+ vX_[1379] = vX_[1366] * 1 / vX_[145];
+ vX_[1349] = vX_[1349] - (vX_[2934] + vX_[1860] * vX_[152] + vX_[3193] * vX_[143] + vX_[1882] * vX_[145] + vX_[1372] * 2.1e-05 + vX_[1379] * -0.000102);
+ vX_[1767] = vX_[2316] * vX_[129] + vX_[2121] * vX_[131] + vX_[1349] * vX_[130];
+ vX_[1060] = vX_[2316] * vX_[131] + vX_[2121] * vX_[911] + vX_[1349] * vX_[912];
+ vX_[1983] = vX_[1349] - (38.1956380581338 + vX_[1060] * 38.1956380581338 * 0.110125 + vX_[1767] * 38.1956380581338 * 0.000881 + vX_[1349] * 38.1956380581338 * 0.026181);
+ vX_[3512] = vX_[1767] * 0.881 + (0 - vX_[1983]) * -0.000881;
+ vX_[1453] = vX_[1060] * -0.881;
+ vX_[1059] = vX_[1983] * 0.110125;
+ vX_[1296] = vX_[1453] - vX_[1059];
+ vX_[1593] = vX_[3512] * vX_[907] + vX_[1296] * vX_[899];
+ vX_[1609] = vX_[2121] * 3.146 + (0 - vX_[1349]) * 0.0825825;
+ vX_[577] = vX_[2316] * -3.146;
+ vX_[2744] = vX_[1349] * 0.47422804;
+ vX_[2746] = vX_[577] - vX_[2744];
+ vX_[2571] = vX_[1593] + vX_[1609] * vX_[897] + vX_[2746] * vX_[887];
+ vX_[2752] = vX_[3055] * 3.44 + vX_[2822] * -0.5824264;
+ vX_[2608] = 0 - vX_[2752];
+ vX_[1468] = vX_[2563] * 3.44 + (0 - vX_[2822]) * 0.1466472;
+ vX_[3299] = vX_[2899] + vX_[2563] * vX_[214] + vX_[2100] * vX_[196] + vX_[3055] * vX_[205] + vX_[2822] * vX_[490] + vX_[1597] * vX_[542];
+ vX_[2320] = vX_[2571] * -1 + vX_[2608] * vX_[813] + vX_[1468] * vX_[884] + vX_[3299] * x_in[30];
+ vX_[2573] = vX_[3006] - vX_[2833];
+ vX_[2578] = vX_[2852] + vX_[2995];
+ vX_[2947] = vX_[2573] * vX_[211] + vX_[2578] * vX_[209];
+ vX_[2321] = vX_[3024] - vX_[2833];
+ vX_[418] = vX_[2321] * vX_[211];
+ vX_[2463] = vX_[2573] * vX_[197] + vX_[2578] * vX_[211];
+ vX_[1437] = vX_[2321] * vX_[209];
+ vX_[2949] = vX_[2463] + vX_[1437];
+ vX_[3387] = vX_[2947] * vX_[197] + vX_[418] * vX_[209] + vX_[2949] * vX_[211];
+ vX_[376] = 0 - vX_[3387];
+ vX_[2829] = vX_[2833] + vX_[2463] * vX_[197] + vX_[418] * vX_[211];
+ vX_[1932] = 0 - vX_[2829];
+ vX_[1069] = vX_[2833] + vX_[2947] * vX_[211] + vX_[1437] * vX_[209];
+ vX_[1940] = vX_[3026] + vX_[3032];
+ vX_[2372] = vX_[2685] + vX_[2921] - vX_[1940];
+ vX_[2304] = vX_[3016] + vX_[3031];
+ vX_[1905] = 0 - (vX_[2862] + vX_[2837]) + vX_[2304];
+ vX_[2756] = (vX_[2304] * vX_[197] + vX_[1940] * vX_[211]) * -1;
+ vX_[369] = 0 - (vX_[2372] * vX_[211] + vX_[1905] * vX_[209]) + vX_[2756];
+ vX_[783] = vX_[369] + vX_[2829] * vX_[198];
+ vX_[582] = 0 - vX_[783];
+ vX_[3347] = (vX_[2304] * vX_[211] + vX_[1940] * vX_[209]) * -1;
+ vX_[3448] = vX_[2372] * vX_[197] + vX_[1905] * vX_[211] + vX_[3347];
+ vX_[1970] = 0 - vX_[1069];
+ vX_[3208] = vX_[3448] + vX_[3387] * vX_[198] + vX_[1970] * vX_[127];
+ vX_[3204] = vX_[2871] + vX_[2999];
+ vX_[741] = vX_[2873] + vX_[2998];
+ vX_[3487] = vX_[3204] * vX_[209] + vX_[741] * vX_[211];
+ vX_[3440] = vX_[2863] + vX_[2919];
+ vX_[2823] = vX_[2877] + vX_[2997];
+ vX_[2786] = vX_[3440] * vX_[211] + vX_[2823] * vX_[209];
+ vX_[2621] = vX_[3487] * vX_[197] + vX_[2786] * vX_[211];
+ vX_[2609] = vX_[2930] + vX_[3014];
+ vX_[2656] = vX_[3037] + vX_[3034];
+ vX_[3090] = 0 - vX_[2656];
+ vX_[2936] = vX_[2609] * vX_[211] + vX_[3090] * vX_[209];
+ vX_[2961] = 0 - vX_[2936];
+ vX_[2824] = vX_[2621] + vX_[2961] * vX_[127] + vX_[1932] * vX_[213];
+ vX_[370] = 0 - vX_[2824];
+ vX_[3258] = vX_[3204] * vX_[211] + vX_[741] * vX_[197];
+ vX_[2944] = vX_[3440] * vX_[197] + vX_[2823] * vX_[211];
+ vX_[2670] = vX_[3258] * vX_[211] + vX_[2944] * vX_[209];
+ vX_[2656] = 0 - vX_[2656];
+ vX_[2917] = vX_[2609] * vX_[197] + vX_[2656] * vX_[211];
+ vX_[2906] = 0 - vX_[2917];
+ vX_[2760] = vX_[2670] + vX_[2906] * vX_[198] + vX_[1069] * vX_[213];
+ vX_[2816] = vX_[3258] * vX_[197] + vX_[2944] * vX_[211];
+ vX_[3005] = vX_[2816] + vX_[2936] * vX_[198];
+ vX_[3147] = vX_[3487] * vX_[211] + vX_[2786] * vX_[209];
+ vX_[2870] = vX_[3147] + vX_[2917] * vX_[127] + vX_[376] * vX_[213];
+ vX_[2814] = 0 - vX_[3005] + vX_[2870];
+ vX_[2946] = 0 - vX_[3387];
+ vX_[2763] = 0 - vX_[2829];
+ vX_[1932] = vX_[376] * vX_[545] + vX_[1932] * vX_[492] + vX_[1069] * vX_[176] + vX_[582] * vX_[214] + vX_[3208] * vX_[225] + vX_[370] * vX_[205] + vX_[2760] * vX_[199] + vX_[2814] * vX_[196] + vX_[3387] * vX_[539] + vX_[2946] * vX_[542] + vX_[2763] * vX_[491] + vX_[1069] * vX_[495];
+ vX_[376] = 0 - vX_[3512];
+ vX_[2818] = vX_[2100] * -1 + vX_[1916] * -0.08;
+ vX_[2743] = vX_[2818] + vX_[1602] * -0.35;
+ vX_[745] = vX_[1602] * vX_[131] + vX_[1366] * vX_[137];
+ vX_[358] = vX_[1602] * vX_[129] + vX_[1366] * vX_[131];
+ vX_[717] = vX_[2743] * 0.881 + (0 - vX_[745]) * 0.110125 + vX_[358] * -0.000881;
+ vX_[395] = -0.0336503571292158 + vX_[1060] * -0.00370574557885489 + vX_[1767] * 0.880970354035369;
+ vX_[521] = vX_[376] * vX_[902] + vX_[717] * vX_[899] + vX_[395] * x_in[32];
+ vX_[1059] = 0 - vX_[1453] + vX_[1059];
+ vX_[1453] = 0 - vX_[717];
+ vX_[3259] = -4.20629464115198 + vX_[1060] * 0.417781802643138 + vX_[1767] * -0.00370574557885489;
+ vX_[2966] = vX_[1059] * vX_[902] + vX_[1453] * vX_[907] - vX_[3259] * x_in[32];
+ vX_[2968] = 0 - vX_[1609];
+ vX_[2783] = vX_[2818] * 3.146 + (0 - vX_[1602]) * 0.47422804 + vX_[1366] * 0.0825825;
+ vX_[3051] = vX_[2880] + vX_[2316] * vX_[173] + vX_[2121] * vX_[172] + vX_[1602] * vX_[149] + vX_[1366] * vX_[147];
+ vX_[3377] = vX_[521] * vX_[131] + vX_[2966] * vX_[129] + vX_[2968] * vX_[890] + vX_[2783] * vX_[887] + vX_[3051] * x_in[31];
+ vX_[2744] = 0 - vX_[577] + vX_[2744];
+ vX_[577] = 0 - vX_[2783];
+ vX_[3344] = vX_[2875] + vX_[2316] * vX_[171] + vX_[2121] * vX_[173] + vX_[1602] * vX_[155] + vX_[1366] * vX_[154];
+ vX_[3266] = vX_[521] * vX_[911] + vX_[2966] * vX_[131] + vX_[2744] * vX_[890] + vX_[577] * vX_[897] - vX_[3344] * x_in[31];
+ vX_[3262] = vX_[2100] * -3.44;
+ vX_[3192] = vX_[1916] * 0.1466472;
+ vX_[3467] = vX_[1597] * -0.5824264;
+ vX_[3335] = 0 - vX_[3262] + vX_[3192] - vX_[3467];
+ vX_[3361] = 0 - vX_[1468];
+ vX_[3083] = vX_[2850] + vX_[2563] * vX_[225] + vX_[2100] * vX_[199] + vX_[3055] * vX_[196] + vX_[2822] * vX_[539] + vX_[1597] * vX_[489];
+ vX_[3071] = vX_[3377] * vX_[903] + vX_[3266] * vX_[148] + vX_[3335] * vX_[813] + vX_[3361] * vX_[882] - vX_[3083] * x_in[30];
+ vX_[3350] = vX_[3006] + vX_[3024] + vX_[2833] - vX_[2829] - vX_[1069];
+ vX_[3345] = 0 - vX_[3350];
+ vX_[2756] = vX_[2756] + vX_[3345] * vX_[198];
+ vX_[3347] = vX_[3347] + vX_[3350] * vX_[127];
+ vX_[444] = 0 - vX_[3208];
+ vX_[734] = 0 - vX_[2760];
+ vX_[3199] = vX_[3036] + vX_[3033] + vX_[741] + vX_[2823] - vX_[2816] - vX_[3147];
+ vX_[2870] = vX_[3199] - vX_[2870];
+ vX_[2970] = 0 - vX_[2936];
+ vX_[3380] = 0 - vX_[3387];
+ vX_[3391] = 0 - vX_[1069];
+ vX_[2977] = vX_[2994] - vX_[2950];
+ vX_[3386] = vX_[3001] - vX_[2950];
+ vX_[3273] = vX_[2927] + vX_[2996];
+ vX_[3471] = vX_[2872] + vX_[3004];
+ vX_[720] = vX_[2825] + vX_[3003];
+ vX_[705] = 0 - vX_[720];
+ vX_[445] = vX_[2977] * vX_[211] + vX_[3273] * vX_[209];
+ vX_[3260] = vX_[3386] * vX_[211];
+ vX_[3356] = vX_[2977] * vX_[197] + vX_[3273] * vX_[211];
+ vX_[3202] = vX_[3386] * vX_[209];
+ vX_[378] = vX_[3356] + vX_[3202];
+ vX_[3642] = vX_[2743] * -0.000881 + vX_[358] * -0.000227999999999999;
+ vX_[3635] = vX_[2743] * 0.110125 + (0 - vX_[745]) * 0.025713;
+ vX_[3634] = (0 - vX_[1060]) * -0.000881;
+ vX_[3601] = (0 - vX_[1767]) * 0.110125;
+ vX_[3623] = vX_[3634] + vX_[3601];
+ vX_[3623] = vX_[376] * vX_[913] + vX_[1059] * vX_[905] + vX_[3642] * vX_[907] + vX_[3635] * vX_[899] + vX_[3623] * vX_[902] + vX_[3623] * vX_[902];
+ vX_[1059] = vX_[2818] * 0.0825825 + (0 - vX_[1349]) * -0.000102 + vX_[1602] * -0.007418 + vX_[1366] * 0.002735;
+ vX_[376] = vX_[2818] * 0.47422804 + vX_[1349] * 2.1e-05 + (0 - vX_[1602]) * 0.084376 + (0 - vX_[1366]) * -0.007418;
+ vX_[3620] = (0 - vX_[2316]) * 0.0825825;
+ vX_[3617] = (0 - vX_[2121]) * 0.47422804;
+ vX_[3508] = vX_[1602] * -0.000102;
+ vX_[3615] = (0 - vX_[1366]) * 2.1e-05;
+ vX_[3613] = vX_[3620] + vX_[3617] + vX_[3508] + vX_[3615];
+ vX_[3613] = vX_[3623] + vX_[521] * vX_[912] + vX_[2966] * vX_[130] + vX_[2968] * vX_[904] + vX_[2744] * vX_[895] + vX_[1059] * vX_[897] + vX_[376] * vX_[887] + vX_[3613] * vX_[890] + vX_[3613] * vX_[890];
+ vX_[2744] = vX_[2100] * -0.5824264 + (0 - vX_[1916]) * 0.022734 + vX_[2822] * 3.6e-05 + vX_[1597] * -0.133138;
+ vX_[2968] = vX_[2100] * 0.1466472 + vX_[1916] * 0.009466 + (0 - vX_[2822]) * -5.1e-05 + vX_[1597] * 0.022734;
+ vX_[3612] = (0 - vX_[2563]) * -0.5824264;
+ vX_[3610] = (0 - vX_[3055]) * 0.1466472;
+ vX_[3603] = (0 - vX_[1916]) * 3.6e-05;
+ vX_[3597] = (0 - vX_[1597]) * -5.1e-05;
+ vX_[3596] = vX_[3612] + vX_[3610] + vX_[3603] - vX_[3597];
+ vX_[3595] = vX_[2894] + vX_[2563] * vX_[230] + vX_[2100] * vX_[489] + vX_[3055] * vX_[542] + vX_[2822] * vX_[541] + vX_[1597] * vX_[193];
+ vX_[3596] = vX_[3377] * vX_[886] + vX_[3266] * vX_[163] + vX_[3613] * -1 + vX_[2752] * vX_[815] + vX_[3361] * vX_[894] + vX_[2744] * vX_[813] + vX_[2968] * vX_[884] + vX_[3596] * vX_[882] + vX_[3596] * vX_[882] + vX_[3595] * x_in[30];
+ vX_[1983] = vX_[1060] * 0.110125 + vX_[1767] * -0.000881 + vX_[1983] * 0.025941;
+ vX_[358] = vX_[2743] * -0.000881 + vX_[358] * 0.000468;
+ vX_[3601] = vX_[3512] * vX_[900] + vX_[1453] * vX_[905] + vX_[3642] * vX_[902] + vX_[1983] * vX_[899] + vX_[3601] * vX_[907] + vX_[3601] * vX_[907] + vX_[358] * x_in[32];
+ vX_[745] = vX_[2743] * -0.110125 + vX_[745] * 0.026409;
+ jac[1184] = vX_[3259] * vX_[909] + vX_[395] * vX_[913] + vX_[745] * vX_[938] + vX_[358] * vX_[907] + vX_[3623];
+ vX_[745] = vX_[1296] * vX_[900] + vX_[717] * vX_[913] + vX_[3635] * vX_[902] + vX_[1983] * vX_[907] + vX_[3634] * vX_[899] + vX_[3634] * vX_[899] - vX_[745] * x_in[32];
+ vX_[1983] = vX_[2316] * 0.47422804 + vX_[2121] * 0.0825825 + vX_[1349] * 0.081641 + (0 - vX_[1602]) * 2.1e-05 + vX_[1366] * -0.000102;
+ vX_[3634] = (0 - vX_[1349]) * -0.007418;
+ vX_[3615] = vX_[3617] + vX_[3634] - vX_[3615];
+ vX_[3617] = vX_[2931] + vX_[2818] * vX_[142] + vX_[2316] * vX_[154] + vX_[2121] * vX_[147] + vX_[1602] * vX_[188] + vX_[1366] * vX_[184];
+ vX_[3615] = vX_[1593] * -0.35 + vX_[3601] * vX_[131] + vX_[745] * vX_[129] + vX_[1609] * vX_[888] + vX_[577] * vX_[895] + vX_[1059] * vX_[890] + vX_[1983] * vX_[887] + vX_[3615] * vX_[897] + vX_[3615] * vX_[897] + vX_[3617] * x_in[31];
+ vX_[3634] = vX_[3620] - vX_[3634] - vX_[3508];
+ vX_[3508] = vX_[2682] + vX_[2818] * vX_[151] + vX_[2316] * vX_[155] + vX_[2121] * vX_[149] + vX_[1602] * vX_[182] + vX_[1366] * vX_[188];
+ jac[1148] = vX_[3344] * vX_[908] + vX_[3051] * vX_[904] + vX_[3508] * vX_[915] + vX_[3617] * vX_[897] + vX_[3613];
+ vX_[3508] = vX_[3601] * vX_[137] + vX_[745] * vX_[131] + vX_[2746] * vX_[888] + vX_[2783] * vX_[904] + vX_[376] * vX_[890] + vX_[1983] * vX_[897] + vX_[3634] * vX_[887] + vX_[3634] * vX_[887] - vX_[3508] * x_in[31];
+ vX_[3467] = vX_[3262] - vX_[3192] + vX_[3467];
+ vX_[3192] = vX_[2563] * 0.1466472 + vX_[3055] * -0.5824264 + vX_[1916] * -5.1e-05 + (0 - vX_[2822]) * -0.123672 + (0 - vX_[1597]) * 3.6e-05;
+ vX_[3262] = vX_[2822] * 0.022734;
+ vX_[3603] = vX_[3612] - vX_[3603] - vX_[3262];
+ vX_[3612] = vX_[2935] + vX_[2563] * vX_[167] + vX_[2100] * vX_[539] + vX_[3055] * vX_[490] + vX_[2822] * vX_[488] + vX_[1597] * vX_[541];
+ vX_[3603] = vX_[3615] * vX_[157] + vX_[3508] * vX_[148] + vX_[3467] * vX_[815] + vX_[1468] * vX_[814] + vX_[3192] * vX_[813] + vX_[2968] * vX_[882] + vX_[3603] * vX_[884] + vX_[3603] * vX_[884] - vX_[3612] * x_in[30];
+ vX_[2968] = 0 - vX_[2756];
+ vX_[1468] = 0 - vX_[3347];
+ vX_[3199] = 0 - vX_[3199] + vX_[3005];
+ vX_[3005] = 0 - vX_[2917];
+ vX_[720] = 0 - vX_[720];
+ jac[464] = 0 - (0 - (vX_[2850] * vX_[1754] + vX_[2684] * vX_[941] + vX_[2320] * x_in[22]) + (vX_[2850] * vX_[1810] + vX_[2861] * vX_[941] + vX_[1932] * vX_[211] + vX_[2320] * x_in[20]) * 0.3735 - (vX_[2899] * vX_[1855] + vX_[2888] * vX_[944] + vX_[3071] * x_in[23]) + (vX_[2899] * vX_[1898] + vX_[2892] * vX_[944] + vX_[3071] * x_in[19]) * -0.3735 + (vX_[2899] * vX_[1899] + vX_[2828] * vX_[944] + (vX_[2961] * vX_[492] + vX_[2917] * vX_[545] + vX_[3350] * vX_[224] + vX_[1970] * vX_[226] + vX_[2756] * vX_[196] + vX_[3347] * vX_[205] + vX_[444] * vX_[208] + vX_[734] * vX_[225] + vX_[2870] * vX_[214] + vX_[2970] * vX_[490] + vX_[2917] * vX_[542] + vX_[3380] * vX_[167] + vX_[3391] * vX_[497]) * -1 + vX_[3071] * x_in[18]) * -0.207 - (vX_[2935] * vX_[1898] + vX_[2894] * vX_[1810] + vX_[2861] * vX_[946] + vX_[2892] * vX_[917] + vX_[2977] * vX_[669] + vX_[3386] * vX_[667] + vX_[3273] * vX_[665] + vX_[3471] * vX_[648] + vX_[705] * vX_[214] + vX_[445] * vX_[351] + vX_[3260] * vX_[480] + vX_[378] * vX_[196] + vX_[3204] * vX_[637] + vX_[3440] * vX_[605] + vX_[2304] * vX_[232] + vX_[1940] * vX_[222] + vX_[741] * vX_[636] + vX_[2823] * vX_[602] + vX_[3258] * vX_[601] + vX_[3487] * vX_[603] + vX_[2944] * vX_[544] + vX_[2786] * vX_[604] + vX_[2372] * vX_[221] + vX_[1905] * vX_[231] + vX_[2573] * vX_[551] + vX_[2321] * vX_[549] + vX_[2578] * vX_[547] + vX_[2609] * vX_[588] + vX_[2656] * vX_[589] + vX_[2947] * vX_[498] + vX_[418] * vX_[494] + vX_[2949] * vX_[546] + vX_[1932] * vX_[212] + vX_[3596] * x_in[19] + vX_[3603] * x_in[20])) * vX_[3528] + (vX_[2850] * vX_[1855] + vX_[2935] * vX_[1810] + vX_[2888] * vX_[941] + vX_[2861] * vX_[917] + vX_[2977] * vX_[665] + vX_[3471] * vX_[214] + vX_[3356] * vX_[480] + vX_[445] * vX_[196] + vX_[3440] * vX_[602] + vX_[2304] * vX_[222] + vX_[741] * vX_[637] + vX_[3258] * vX_[544] + vX_[3487] * vX_[604] + vX_[2372] * vX_[231] + vX_[2573] * vX_[547] + vX_[2609] * vX_[589] + vX_[2463] * vX_[494] + vX_[2947] * vX_[546] + (vX_[2936] * vX_[543] + vX_[2906] * vX_[176] + vX_[3387] * vX_[226] + vX_[3345] * vX_[200] + vX_[2829] * vX_[215] + vX_[2968] * vX_[199] + vX_[783] * vX_[208] + vX_[1468] * vX_[196] + vX_[2824] * vX_[214] + vX_[3199] * vX_[225] + vX_[2936] * vX_[539] + vX_[3005] * vX_[489] + vX_[3387] * vX_[230] + vX_[2829] * vX_[486]) * 0.207 + vX_[2320] * x_in[23] + vX_[3596] * x_in[20] + (vX_[2850] * vX_[1898] + vX_[2892] * vX_[941] + vX_[1932] * vX_[209] + vX_[2320] * x_in[19]) * 0.3735 + (vX_[2850] * vX_[1899] + vX_[2828] * vX_[941] + vX_[2320] * x_in[18]) * 0.207 - (vX_[2899] * vX_[1754] + vX_[2684] * vX_[944] + vX_[3071] * x_in[22]) + (vX_[2899] * vX_[1810] + vX_[2861] * vX_[944] + vX_[3071] * x_in[20]) * 0.3735 - (vX_[2894] * vX_[1898] + vX_[2892] * vX_[946] + vX_[3386] * vX_[666] + vX_[3273] * vX_[669] + vX_[720] * vX_[648] + vX_[3260] * vX_[196] + vX_[3202] * vX_[351] + vX_[3204] * vX_[636] + vX_[1940] * vX_[232] + vX_[2823] * vX_[605] + vX_[2944] * vX_[601] + vX_[2786] * vX_[603] + vX_[1905] * vX_[221] + vX_[2321] * vX_[548] + vX_[2578] * vX_[551] + vX_[3090] * vX_[588] + vX_[418] * vX_[546] + vX_[1437] * vX_[498] + vX_[1932] * vX_[210] + vX_[3603] * x_in[19])) * vX_[989];
+ vX_[3273] = vX_[3048] * -1 + vX_[3046] * 0.207;
+ vX_[3386] = vX_[2835] * vX_[125] + vX_[2918] * vX_[893] + vX_[3046] * vX_[891] + vX_[3030] * vX_[892] + vX_[2985] * vX_[126];
+ vX_[2977] = vX_[3046] * vX_[197] + vX_[3030] * vX_[211];
+ vX_[3345] = vX_[3273] * vX_[148] + vX_[3386] * vX_[903] + vX_[2977] * vX_[886];
+ vX_[3350] = vX_[3273] * vX_[128] + vX_[3386] * vX_[148] + vX_[2977] * vX_[163];
+ vX_[1932] = vX_[2977] * -1;
+ vX_[2906] = vX_[3345] * 1 / vX_[145];
+ vX_[2656] = vX_[3350] * 1 / vX_[145];
+ vX_[2944] = vX_[1932] * 1 / vX_[145];
+ vX_[3258] = vX_[2985] * -1;
+ vX_[2961] = vX_[3273] * 1 / vX_[194];
+ vX_[3090] = vX_[2835] * vX_[197] + vX_[2918] * vX_[879] + vX_[3046] * vX_[212] + vX_[3030] * vX_[210] + vX_[2985] * vX_[880];
+ vX_[2609] = vX_[3090] * 1 / vX_[194];
+ vX_[2786] = vX_[3386] * 1 / vX_[194];
+ vX_[2823] = vX_[3258] * 1 / vX_[194];
+ vX_[3440] = vX_[2977] * 1 / vX_[194];
+ vX_[3487] = vX_[3046] * vX_[211] + vX_[3030] * vX_[209];
+ vX_[741] = vX_[3487] * 1 / vX_[194];
+ vX_[3258] = vX_[3258] - (vX_[2961] * vX_[206] + vX_[2609] * vX_[168] + vX_[2786] * vX_[158] + vX_[2823] * vX_[194] + vX_[3440] * vX_[220] + vX_[741] * vX_[229]);
+ vX_[3204] = vX_[3258] * vX_[148] + vX_[3487] * vX_[157];
+ vX_[1970] = vX_[3204] * 1 / vX_[145];
+ vX_[1905] = vX_[3258] * vX_[128] + vX_[3487] * vX_[148];
+ vX_[2304] = vX_[1905] * 1 / vX_[145];
+ vX_[1932] = vX_[1932] - (vX_[2906] * vX_[152] + vX_[2656] * vX_[143] + vX_[2944] * vX_[145] + vX_[1970] * 2.1e-05 + vX_[2304] * -0.000102);
+ vX_[2372] = vX_[3345] * vX_[129] + vX_[3350] * vX_[131] + vX_[1932] * vX_[130];
+ vX_[1940] = vX_[3345] * vX_[131] + vX_[3350] * vX_[911] + vX_[1932] * vX_[912];
+ vX_[2949] = vX_[1932] - (vX_[1940] * 38.1956380581338 * 0.110125 + vX_[2372] * 38.1956380581338 * 0.000881 + vX_[1932] * 38.1956380581338 * 0.026181);
+ vX_[1437] = vX_[2372] * 0.881 + (0 - vX_[2949]) * -0.000881;
+ vX_[2463] = vX_[1940] * -0.881;
+ vX_[418] = vX_[2949] * 0.110125;
+ vX_[2321] = vX_[2463] - vX_[418];
+ vX_[2947] = vX_[1437] * vX_[907] + vX_[2321] * vX_[899];
+ vX_[2578] = vX_[3350] * 3.146 + (0 - vX_[1932]) * 0.0825825;
+ vX_[2573] = vX_[3345] * -3.146;
+ vX_[2894] = vX_[1932] * 0.47422804;
+ vX_[2935] = vX_[2573] - vX_[2894];
+ vX_[2899] = vX_[2947] + vX_[2578] * vX_[897] + vX_[2935] * vX_[887];
+ vX_[2850] = vX_[3386] * 3.44 + vX_[2977] * -0.5824264;
+ vX_[3634] = 0 - vX_[2850];
+ vX_[1983] = vX_[3273] * 3.44 + (0 - vX_[2977]) * 0.1466472;
+ vX_[376] = vX_[3273] * vX_[214] + vX_[3090] * vX_[196] + vX_[3386] * vX_[205] + vX_[2977] * vX_[490] + vX_[3487] * vX_[542];
+ vX_[2783] = vX_[2899] * -1 + vX_[3634] * vX_[813] + vX_[1983] * vX_[884] + vX_[376] * x_in[30];
+ vX_[2746] = vX_[3148] - vX_[3100];
+ vX_[3617] = vX_[3047] + vX_[3137];
+ vX_[3613] = vX_[2746] * vX_[211] + vX_[3617] * vX_[209];
+ vX_[3344] = vX_[3166] - vX_[3100];
+ vX_[3051] = vX_[3344] * vX_[211];
+ vX_[3620] = vX_[2746] * vX_[197] + vX_[3617] * vX_[211];
+ vX_[1059] = vX_[3344] * vX_[209];
+ vX_[577] = vX_[3620] + vX_[1059];
+ vX_[1609] = vX_[3613] * vX_[197] + vX_[3051] * vX_[209] + vX_[577] * vX_[211];
+ vX_[1593] = 0 - vX_[1609];
+ vX_[3635] = vX_[3100] + vX_[3620] * vX_[197] + vX_[3051] * vX_[211];
+ vX_[717] = 0 - vX_[3635];
+ vX_[1296] = vX_[3100] + vX_[3613] * vX_[211] + vX_[1059] * vX_[209];
+ vX_[358] = vX_[3168] + vX_[3174];
+ vX_[3623] = vX_[3044] + vX_[3023] - vX_[358];
+ vX_[3259] = vX_[3158] + vX_[3173];
+ vX_[395] = 0 - (vX_[3042] + vX_[3022]) + vX_[3259];
+ vX_[2743] = (vX_[3259] * vX_[197] + vX_[358] * vX_[211]) * -1;
+ vX_[3642] = 0 - (vX_[3623] * vX_[211] + vX_[395] * vX_[209]) + vX_[2743];
+ vX_[1453] = vX_[3642] + vX_[3635] * vX_[198];
+ vX_[3512] = 0 - vX_[1453];
+ vX_[1060] = (vX_[3259] * vX_[211] + vX_[358] * vX_[209]) * -1;
+ vX_[1767] = vX_[3623] * vX_[197] + vX_[395] * vX_[211] + vX_[1060];
+ vX_[3361] = 0 - vX_[1296];
+ vX_[3594] = vX_[1767] + vX_[1609] * vX_[198] + vX_[3361] * vX_[127];
+ vX_[3453] = vX_[3045] + vX_[3141];
+ vX_[3413] = vX_[3002] + vX_[3140];
+ vX_[522] = vX_[3453] * vX_[209] + vX_[3413] * vX_[211];
+ vX_[3509] = vX_[3028] + vX_[2975];
+ vX_[3510] = vX_[2953] + vX_[3139];
+ vX_[3511] = vX_[3509] * vX_[211] + vX_[3510] * vX_[209];
+ vX_[3517] = vX_[522] * vX_[197] + vX_[3511] * vX_[211];
+ vX_[3524] = vX_[3052] + vX_[3156];
+ vX_[3526] = vX_[3179] + vX_[3176];
+ vX_[3527] = 0 - vX_[3526];
+ vX_[3529] = vX_[3524] * vX_[211] + vX_[3527] * vX_[209];
+ vX_[643] = 0 - vX_[3529];
+ vX_[3531] = vX_[3517] + vX_[643] * vX_[127] + vX_[717] * vX_[213];
+ vX_[3551] = 0 - vX_[3531];
+ vX_[3558] = vX_[3453] * vX_[211] + vX_[3413] * vX_[197];
+ vX_[3271] = vX_[3509] * vX_[197] + vX_[3510] * vX_[211];
+ vX_[746] = vX_[3558] * vX_[211] + vX_[3271] * vX_[209];
+ vX_[3526] = 0 - vX_[3526];
+ vX_[1017] = vX_[3524] * vX_[197] + vX_[3526] * vX_[211];
+ vX_[993] = 0 - vX_[1017];
+ vX_[987] = vX_[746] + vX_[993] * vX_[198] + vX_[1296] * vX_[213];
+ vX_[982] = vX_[3558] * vX_[197] + vX_[3271] * vX_[211];
+ vX_[675] = vX_[982] + vX_[3529] * vX_[198];
+ vX_[672] = vX_[522] * vX_[211] + vX_[3511] * vX_[209];
+ vX_[673] = vX_[672] + vX_[1017] * vX_[127] + vX_[1593] * vX_[213];
+ vX_[671] = 0 - vX_[675] + vX_[673];
+ vX_[123] = 0 - vX_[1609];
+ vX_[233] = 0 - vX_[3635];
+ vX_[717] = vX_[1593] * vX_[545] + vX_[717] * vX_[492] + vX_[1296] * vX_[176] + vX_[3512] * vX_[214] + vX_[3594] * vX_[225] + vX_[3551] * vX_[205] + vX_[987] * vX_[199] + vX_[671] * vX_[196] + vX_[1609] * vX_[539] + vX_[123] * vX_[542] + vX_[233] * vX_[491] + vX_[1296] * vX_[495];
+ vX_[1593] = 0 - vX_[1437];
+ vX_[652] = vX_[3090] * -1 + vX_[3258] * -0.08;
+ vX_[640] = vX_[652] + vX_[3204] * -0.35;
+ vX_[639] = vX_[3204] * vX_[131] + vX_[1905] * vX_[137];
+ vX_[617] = vX_[3204] * vX_[129] + vX_[1905] * vX_[131];
+ vX_[616] = vX_[640] * 0.881 + (0 - vX_[639]) * 0.110125 + vX_[617] * -0.000881;
+ vX_[615] = vX_[1940] * -0.00370574557885489 + vX_[2372] * 0.880970354035369;
+ vX_[614] = vX_[1593] * vX_[902] + vX_[616] * vX_[899] + vX_[615] * x_in[32];
+ vX_[418] = 0 - vX_[2463] + vX_[418];
+ vX_[2463] = 0 - vX_[616];
+ vX_[558] = vX_[1940] * 0.417781802643138 + vX_[2372] * -0.00370574557885489;
+ vX_[613] = vX_[418] * vX_[902] + vX_[2463] * vX_[907] - vX_[558] * x_in[32];
+ vX_[593] = 0 - vX_[2578];
+ vX_[592] = vX_[652] * 3.146 + (0 - vX_[3204]) * 0.47422804 + vX_[1905] * 0.0825825;
+ vX_[557] = vX_[3345] * vX_[173] + vX_[3350] * vX_[172] + vX_[3204] * vX_[149] + vX_[1905] * vX_[147];
+ vX_[565] = vX_[614] * vX_[131] + vX_[613] * vX_[129] + vX_[593] * vX_[890] + vX_[592] * vX_[887] + vX_[557] * x_in[31];
+ vX_[2894] = 0 - vX_[2573] + vX_[2894];
+ vX_[2573] = 0 - vX_[592];
+ vX_[562] = vX_[3345] * vX_[171] + vX_[3350] * vX_[173] + vX_[3204] * vX_[155] + vX_[1905] * vX_[154];
+ vX_[563] = vX_[614] * vX_[911] + vX_[613] * vX_[131] + vX_[2894] * vX_[890] + vX_[2573] * vX_[897] - vX_[562] * x_in[31];
+ vX_[561] = vX_[3090] * -3.44;
+ vX_[560] = vX_[3258] * 0.1466472;
+ vX_[559] = vX_[3487] * -0.5824264;
+ vX_[556] = 0 - vX_[561] + vX_[560] - vX_[559];
+ vX_[553] = 0 - vX_[1983];
+ vX_[511] = vX_[3273] * vX_[225] + vX_[3090] * vX_[199] + vX_[3386] * vX_[196] + vX_[2977] * vX_[539] + vX_[3487] * vX_[489];
+ vX_[510] = vX_[565] * vX_[903] + vX_[563] * vX_[148] + vX_[556] * vX_[813] + vX_[553] * vX_[882] - vX_[511] * x_in[30];
+ vX_[295] = vX_[3148] + vX_[3166] + vX_[3100] - vX_[3635] - vX_[1296];
+ vX_[502] = 0 - vX_[295];
+ vX_[2743] = vX_[2743] + vX_[502] * vX_[198];
+ vX_[1060] = vX_[1060] + vX_[295] * vX_[127];
+ vX_[507] = 0 - vX_[3594];
+ vX_[505] = 0 - vX_[987];
+ vX_[503] = vX_[3178] + vX_[3175] + vX_[3413] + vX_[3510] - vX_[982] - vX_[672];
+ vX_[673] = vX_[503] - vX_[673];
+ vX_[499] = 0 - vX_[3529];
+ vX_[339] = 0 - vX_[1609];
+ vX_[350] = 0 - vX_[1296];
+ vX_[349] = vX_[3136] - vX_[2834];
+ vX_[348] = vX_[3143] - vX_[2834];
+ vX_[344] = vX_[3021] + vX_[3138];
+ vX_[343] = vX_[3027] + vX_[3146];
+ vX_[342] = vX_[3011] + vX_[3145];
+ vX_[324] = 0 - vX_[342];
+ vX_[340] = vX_[349] * vX_[211] + vX_[344] * vX_[209];
+ vX_[286] = vX_[348] * vX_[211];
+ vX_[333] = vX_[349] * vX_[197] + vX_[344] * vX_[211];
+ vX_[332] = vX_[348] * vX_[209];
+ vX_[327] = vX_[333] + vX_[332];
+ vX_[319] = vX_[640] * -0.000881 + vX_[617] * -0.000227999999999999;
+ vX_[318] = vX_[640] * 0.110125 + (0 - vX_[639]) * 0.025713;
+ vX_[315] = (0 - vX_[1940]) * -0.000881;
+ vX_[3589] = (0 - vX_[2372]) * 0.110125;
+ vX_[1218] = vX_[315] + vX_[3589];
+ vX_[1218] = vX_[1593] * vX_[913] + vX_[418] * vX_[905] + vX_[319] * vX_[907] + vX_[318] * vX_[899] + vX_[1218] * vX_[902] + vX_[1218] * vX_[902];
+ vX_[418] = vX_[652] * 0.0825825 + (0 - vX_[1932]) * -0.000102 + vX_[3204] * -0.007418 + vX_[1905] * 0.002735;
+ vX_[1593] = vX_[652] * 0.47422804 + vX_[1932] * 2.1e-05 + (0 - vX_[3204]) * 0.084376 + (0 - vX_[1905]) * -0.007418;
+ vX_[3646] = (0 - vX_[3345]) * 0.0825825;
+ vX_[978] = (0 - vX_[3350]) * 0.47422804;
+ vX_[3578] = vX_[3204] * -0.000102;
+ vX_[3426] = (0 - vX_[1905]) * 2.1e-05;
+ vX_[961] = vX_[3646] + vX_[978] + vX_[3578] + vX_[3426];
+ vX_[961] = vX_[1218] + vX_[614] * vX_[912] + vX_[613] * vX_[130] + vX_[593] * vX_[904] + vX_[2894] * vX_[895] + vX_[418] * vX_[897] + vX_[1593] * vX_[887] + vX_[961] * vX_[890] + vX_[961] * vX_[890];
+ vX_[2894] = vX_[3090] * -0.5824264 + (0 - vX_[3258]) * 0.022734 + vX_[2977] * 3.6e-05 + vX_[3487] * -0.133138;
+ vX_[593] = vX_[3090] * 0.1466472 + vX_[3258] * 0.009466 + (0 - vX_[2977]) * -5.1e-05 + vX_[3487] * 0.022734;
+ vX_[303] = (0 - vX_[3273]) * -0.5824264;
+ vX_[3586] = (0 - vX_[3386]) * 0.1466472;
+ vX_[3584] = (0 - vX_[3258]) * 3.6e-05;
+ vX_[3583] = (0 - vX_[3487]) * -5.1e-05;
+ vX_[1002] = vX_[303] + vX_[3586] + vX_[3584] - vX_[3583];
+ vX_[999] = vX_[3273] * vX_[230] + vX_[3090] * vX_[489] + vX_[3386] * vX_[542] + vX_[2977] * vX_[541] + vX_[3487] * vX_[193];
+ vX_[1002] = vX_[565] * vX_[886] + vX_[563] * vX_[163] + vX_[961] * -1 + vX_[2850] * vX_[815] + vX_[553] * vX_[894] + vX_[2894] * vX_[813] + vX_[593] * vX_[884] + vX_[1002] * vX_[882] + vX_[1002] * vX_[882] + vX_[999] * x_in[30];
+ vX_[2949] = vX_[1940] * 0.110125 + vX_[2372] * -0.000881 + vX_[2949] * 0.025941;
+ vX_[617] = vX_[640] * -0.000881 + vX_[617] * 0.000468;
+ vX_[3589] = vX_[1437] * vX_[900] + vX_[2463] * vX_[905] + vX_[319] * vX_[902] + vX_[2949] * vX_[899] + vX_[3589] * vX_[907] + vX_[3589] * vX_[907] + vX_[617] * x_in[32];
+ vX_[639] = vX_[640] * -0.110125 + vX_[639] * 0.026409;
+ jac[1185] = vX_[558] * vX_[909] + vX_[615] * vX_[913] + vX_[639] * vX_[938] + vX_[617] * vX_[907] + vX_[1218];
+ vX_[639] = vX_[2321] * vX_[900] + vX_[616] * vX_[913] + vX_[318] * vX_[902] + vX_[2949] * vX_[907] + vX_[315] * vX_[899] + vX_[315] * vX_[899] - vX_[639] * x_in[32];
+ vX_[2949] = vX_[3345] * 0.47422804 + vX_[3350] * 0.0825825 + vX_[1932] * 0.081641 + (0 - vX_[3204]) * 2.1e-05 + vX_[1905] * -0.000102;
+ vX_[315] = (0 - vX_[1932]) * -0.007418;
+ vX_[3426] = vX_[978] + vX_[315] - vX_[3426];
+ vX_[978] = vX_[652] * vX_[142] + vX_[3345] * vX_[154] + vX_[3350] * vX_[147] + vX_[3204] * vX_[188] + vX_[1905] * vX_[184];
+ vX_[3426] = vX_[2947] * -0.35 + vX_[3589] * vX_[131] + vX_[639] * vX_[129] + vX_[2578] * vX_[888] + vX_[2573] * vX_[895] + vX_[418] * vX_[890] + vX_[2949] * vX_[887] + vX_[3426] * vX_[897] + vX_[3426] * vX_[897] + vX_[978] * x_in[31];
+ vX_[315] = vX_[3646] - vX_[315] - vX_[3578];
+ vX_[3578] = vX_[652] * vX_[151] + vX_[3345] * vX_[155] + vX_[3350] * vX_[149] + vX_[3204] * vX_[182] + vX_[1905] * vX_[188];
+ jac[1149] = vX_[562] * vX_[908] + vX_[557] * vX_[904] + vX_[3578] * vX_[915] + vX_[978] * vX_[897] + vX_[961];
+ vX_[3578] = vX_[3589] * vX_[137] + vX_[639] * vX_[131] + vX_[2935] * vX_[888] + vX_[592] * vX_[904] + vX_[1593] * vX_[890] + vX_[2949] * vX_[897] + vX_[315] * vX_[887] + vX_[315] * vX_[887] - vX_[3578] * x_in[31];
+ vX_[559] = vX_[561] - vX_[560] + vX_[559];
+ vX_[560] = vX_[3273] * 0.1466472 + vX_[3386] * -0.5824264 + vX_[3258] * -5.1e-05 + (0 - vX_[2977]) * -0.123672 + (0 - vX_[3487]) * 3.6e-05;
+ vX_[561] = vX_[2977] * 0.022734;
+ vX_[3584] = vX_[303] - vX_[3584] - vX_[561];
+ vX_[303] = vX_[3273] * vX_[167] + vX_[3090] * vX_[539] + vX_[3386] * vX_[490] + vX_[2977] * vX_[488] + vX_[3487] * vX_[541];
+ vX_[3584] = vX_[3426] * vX_[157] + vX_[3578] * vX_[148] + vX_[559] * vX_[815] + vX_[1983] * vX_[814] + vX_[560] * vX_[813] + vX_[593] * vX_[882] + vX_[3584] * vX_[884] + vX_[3584] * vX_[884] - vX_[303] * x_in[30];
+ vX_[593] = 0 - vX_[2743];
+ vX_[1983] = 0 - vX_[1060];
+ vX_[503] = 0 - vX_[503] + vX_[675];
+ vX_[675] = 0 - vX_[1017];
+ vX_[342] = 0 - vX_[342];
+ jac[465] = 0 - (0 - (vX_[2918] * vX_[941] + vX_[2783] * x_in[22]) + (vX_[3046] * vX_[941] + vX_[717] * vX_[211] + vX_[2783] * x_in[20]) * 0.3735 - (vX_[2835] * vX_[944] + vX_[510] * x_in[23]) + (vX_[3030] * vX_[944] + vX_[510] * x_in[19]) * -0.3735 + (vX_[2985] * vX_[944] + (vX_[643] * vX_[492] + vX_[1017] * vX_[545] + vX_[295] * vX_[224] + vX_[3361] * vX_[226] + vX_[2743] * vX_[196] + vX_[1060] * vX_[205] + vX_[507] * vX_[208] + vX_[505] * vX_[225] + vX_[673] * vX_[214] + vX_[499] * vX_[490] + vX_[1017] * vX_[542] + vX_[339] * vX_[167] + vX_[350] * vX_[497]) * -1 + vX_[510] * x_in[18]) * -0.207 - (vX_[3046] * vX_[946] + vX_[3030] * vX_[917] + vX_[349] * vX_[669] + vX_[348] * vX_[667] + vX_[344] * vX_[665] + vX_[343] * vX_[648] + vX_[324] * vX_[214] + vX_[340] * vX_[351] + vX_[286] * vX_[480] + vX_[327] * vX_[196] + vX_[3453] * vX_[637] + vX_[3509] * vX_[605] + vX_[3259] * vX_[232] + vX_[358] * vX_[222] + vX_[3413] * vX_[636] + vX_[3510] * vX_[602] + vX_[3558] * vX_[601] + vX_[522] * vX_[603] + vX_[3271] * vX_[544] + vX_[3511] * vX_[604] + vX_[3623] * vX_[221] + vX_[395] * vX_[231] + vX_[2746] * vX_[551] + vX_[3344] * vX_[549] + vX_[3617] * vX_[547] + vX_[3524] * vX_[588] + vX_[3526] * vX_[589] + vX_[3613] * vX_[498] + vX_[3051] * vX_[494] + vX_[577] * vX_[546] + vX_[717] * vX_[212] + vX_[1002] * x_in[19] + vX_[3584] * x_in[20])) * vX_[3528] + (vX_[2835] * vX_[941] + vX_[3046] * vX_[917] + vX_[349] * vX_[665] + vX_[343] * vX_[214] + vX_[333] * vX_[480] + vX_[340] * vX_[196] + vX_[3509] * vX_[602] + vX_[3259] * vX_[222] + vX_[3413] * vX_[637] + vX_[3558] * vX_[544] + vX_[522] * vX_[604] + vX_[3623] * vX_[231] + vX_[2746] * vX_[547] + vX_[3524] * vX_[589] + vX_[3620] * vX_[494] + vX_[3613] * vX_[546] + (vX_[3529] * vX_[543] + vX_[993] * vX_[176] + vX_[1609] * vX_[226] + vX_[502] * vX_[200] + vX_[3635] * vX_[215] + vX_[593] * vX_[199] + vX_[1453] * vX_[208] + vX_[1983] * vX_[196] + vX_[3531] * vX_[214] + vX_[503] * vX_[225] + vX_[3529] * vX_[539] + vX_[675] * vX_[489] + vX_[1609] * vX_[230] + vX_[3635] * vX_[486]) * 0.207 + vX_[2783] * x_in[23] + vX_[1002] * x_in[20] + (vX_[3030] * vX_[941] + vX_[717] * vX_[209] + vX_[2783] * x_in[19]) * 0.3735 + (vX_[2985] * vX_[941] + vX_[2783] * x_in[18]) * 0.207 - (vX_[2918] * vX_[944] + vX_[510] * x_in[22]) + (vX_[3046] * vX_[944] + vX_[510] * x_in[20]) * 0.3735 - (vX_[3030] * vX_[946] + vX_[348] * vX_[666] + vX_[344] * vX_[669] + vX_[342] * vX_[648] + vX_[286] * vX_[196] + vX_[332] * vX_[351] + vX_[3453] * vX_[636] + vX_[358] * vX_[232] + vX_[3510] * vX_[605] + vX_[3271] * vX_[601] + vX_[3511] * vX_[603] + vX_[395] * vX_[221] + vX_[3344] * vX_[548] + vX_[3617] * vX_[551] + vX_[3527] * vX_[588] + vX_[3051] * vX_[546] + vX_[1059] * vX_[498] + vX_[717] * vX_[210] + vX_[3584] * x_in[19])) * vX_[989];
+ vX_[344] = vX_[3153] * -1 + vX_[3068] * 0.207;
+ vX_[348] = vX_[3129] * vX_[125] + vX_[3165] * vX_[893] + vX_[3068] * vX_[891] + vX_[3012] * vX_[892] + vX_[3118] * vX_[126];
+ vX_[349] = vX_[3068] * vX_[197] + vX_[3012] * vX_[211];
+ vX_[502] = vX_[344] * vX_[148] + vX_[348] * vX_[903] + vX_[349] * vX_[886];
+ vX_[295] = vX_[344] * vX_[128] + vX_[348] * vX_[148] + vX_[349] * vX_[163];
+ vX_[717] = vX_[349] * -1;
+ vX_[993] = vX_[502] * 1 / vX_[145];
+ vX_[3526] = vX_[295] * 1 / vX_[145];
+ vX_[3271] = vX_[717] * 1 / vX_[145];
+ vX_[3558] = vX_[3118] * -1;
+ vX_[643] = vX_[344] * 1 / vX_[194];
+ vX_[3527] = vX_[3129] * vX_[197] + vX_[3165] * vX_[879] + vX_[3068] * vX_[212] + vX_[3012] * vX_[210] + vX_[3118] * vX_[880];
+ vX_[3524] = vX_[3527] * 1 / vX_[194];
+ vX_[3511] = vX_[348] * 1 / vX_[194];
+ vX_[3510] = vX_[3558] * 1 / vX_[194];
+ vX_[3509] = vX_[349] * 1 / vX_[194];
+ vX_[522] = vX_[3068] * vX_[211] + vX_[3012] * vX_[209];
+ vX_[3413] = vX_[522] * 1 / vX_[194];
+ vX_[3558] = vX_[3558] - (vX_[643] * vX_[206] + vX_[3524] * vX_[168] + vX_[3511] * vX_[158] + vX_[3510] * vX_[194] + vX_[3509] * vX_[220] + vX_[3413] * vX_[229]);
+ vX_[3453] = vX_[3558] * vX_[148] + vX_[522] * vX_[157];
+ vX_[3361] = vX_[3453] * 1 / vX_[145];
+ vX_[395] = vX_[3558] * vX_[128] + vX_[522] * vX_[148];
+ vX_[3259] = vX_[395] * 1 / vX_[145];
+ vX_[717] = vX_[717] - (vX_[993] * vX_[152] + vX_[3526] * vX_[143] + vX_[3271] * vX_[145] + vX_[3361] * 2.1e-05 + vX_[3259] * -0.000102);
+ vX_[3623] = vX_[502] * vX_[129] + vX_[295] * vX_[131] + vX_[717] * vX_[130];
+ vX_[358] = vX_[502] * vX_[131] + vX_[295] * vX_[911] + vX_[717] * vX_[912];
+ vX_[577] = vX_[717] - (vX_[358] * 38.1956380581338 * 0.110125 + vX_[3623] * 38.1956380581338 * 0.000881 + vX_[717] * 38.1956380581338 * 0.026181);
+ vX_[1059] = vX_[3623] * 0.881 + (0 - vX_[577]) * -0.000881;
+ vX_[3620] = vX_[358] * -0.881;
+ vX_[3051] = vX_[577] * 0.110125;
+ vX_[3344] = vX_[3620] - vX_[3051];
+ vX_[3613] = vX_[1059] * vX_[907] + vX_[3344] * vX_[899];
+ vX_[3617] = vX_[295] * 3.146 + (0 - vX_[717]) * 0.0825825;
+ vX_[2746] = vX_[502] * -3.146;
+ vX_[315] = vX_[717] * 0.47422804;
+ vX_[2949] = vX_[2746] - vX_[315];
+ vX_[1593] = vX_[3613] + vX_[3617] * vX_[897] + vX_[2949] * vX_[887];
+ vX_[592] = vX_[348] * 3.44 + vX_[349] * -0.5824264;
+ vX_[2935] = 0 - vX_[592];
+ vX_[978] = vX_[344] * 3.44 + (0 - vX_[349]) * 0.1466472;
+ vX_[961] = vX_[344] * vX_[214] + vX_[3527] * vX_[196] + vX_[348] * vX_[205] + vX_[349] * vX_[490] + vX_[522] * vX_[542];
+ vX_[562] = vX_[1593] * -1 + vX_[2935] * vX_[813] + vX_[978] * vX_[884] + vX_[961] * x_in[30];
+ vX_[557] = vX_[3300] - vX_[3205];
+ vX_[3646] = vX_[3163] + vX_[3289];
+ vX_[418] = vX_[557] * vX_[211] + vX_[3646] * vX_[209];
+ vX_[2573] = vX_[3318] - vX_[3205];
+ vX_[2578] = vX_[2573] * vX_[211];
+ vX_[2947] = vX_[557] * vX_[197] + vX_[3646] * vX_[211];
+ vX_[318] = vX_[2573] * vX_[209];
+ vX_[616] = vX_[2947] + vX_[318];
+ vX_[2321] = vX_[418] * vX_[197] + vX_[2578] * vX_[209] + vX_[616] * vX_[211];
+ vX_[617] = 0 - vX_[2321];
+ vX_[1218] = vX_[3205] + vX_[2947] * vX_[197] + vX_[2578] * vX_[211];
+ vX_[558] = 0 - vX_[1218];
+ vX_[615] = vX_[3205] + vX_[418] * vX_[211] + vX_[318] * vX_[209];
+ vX_[640] = vX_[3320] + vX_[3326];
+ vX_[319] = vX_[3164] + vX_[3241] - vX_[640];
+ vX_[2463] = vX_[3310] + vX_[3325];
+ vX_[1437] = 0 - (vX_[2987] + vX_[3245]) + vX_[2463];
+ vX_[1940] = (vX_[2463] * vX_[197] + vX_[640] * vX_[211]) * -1;
+ vX_[2372] = 0 - (vX_[319] * vX_[211] + vX_[1437] * vX_[209]) + vX_[1940];
+ vX_[553] = vX_[2372] + vX_[1218] * vX_[198];
+ vX_[307] = 0 - vX_[553];
+ vX_[3581] = (vX_[2463] * vX_[211] + vX_[640] * vX_[209]) * -1;
+ vX_[3579] = vX_[319] * vX_[197] + vX_[1437] * vX_[211] + vX_[3581];
+ vX_[3585] = 0 - vX_[615];
+ vX_[3429] = vX_[3579] + vX_[2321] * vX_[198] + vX_[3585] * vX_[127];
+ vX_[1368] = vX_[3154] + vX_[3293];
+ vX_[3281] = vX_[3219] + vX_[3292];
+ vX_[3580] = vX_[1368] * vX_[209] + vX_[3281] * vX_[211];
+ vX_[3573] = vX_[3117] + vX_[3123];
+ vX_[3569] = vX_[3170] + vX_[3291];
+ vX_[3498] = vX_[3573] * vX_[211] + vX_[3569] * vX_[209];
+ vX_[979] = vX_[3580] * vX_[197] + vX_[3498] * vX_[211];
+ vX_[975] = vX_[3182] + vX_[3308];
+ vX_[973] = vX_[3331] + vX_[3328];
+ vX_[972] = 0 - vX_[973];
+ vX_[966] = vX_[975] * vX_[211] + vX_[972] * vX_[209];
+ vX_[731] = 0 - vX_[966];
+ vX_[3576] = vX_[979] + vX_[731] * vX_[127] + vX_[558] * vX_[213];
+ vX_[3574] = 0 - vX_[3576];
+ vX_[3572] = vX_[1368] * vX_[211] + vX_[3281] * vX_[197];
+ vX_[992] = vX_[3573] * vX_[197] + vX_[3569] * vX_[211];
+ vX_[984] = vX_[3572] * vX_[211] + vX_[992] * vX_[209];
+ vX_[973] = 0 - vX_[973];
+ vX_[3493] = vX_[975] * vX_[197] + vX_[973] * vX_[211];
+ vX_[3452] = 0 - vX_[3493];
+ vX_[3570] = vX_[984] + vX_[3452] * vX_[198] + vX_[615] * vX_[213];
+ vX_[3575] = vX_[3572] * vX_[197] + vX_[992] * vX_[211];
+ vX_[3568] = vX_[3575] + vX_[966] * vX_[198];
+ vX_[3430] = vX_[3580] * vX_[211] + vX_[3498] * vX_[209];
+ vX_[970] = vX_[3430] + vX_[3493] * vX_[127] + vX_[617] * vX_[213];
+ vX_[1676] = 0 - vX_[3568] + vX_[970];
+ vX_[3647] = 0 - vX_[2321];
+ vX_[3648] = 0 - vX_[1218];
+ vX_[558] = vX_[617] * vX_[545] + vX_[558] * vX_[492] + vX_[615] * vX_[176] + vX_[307] * vX_[214] + vX_[3429] * vX_[225] + vX_[3574] * vX_[205] + vX_[3570] * vX_[199] + vX_[1676] * vX_[196] + vX_[2321] * vX_[539] + vX_[3647] * vX_[542] + vX_[3648] * vX_[491] + vX_[615] * vX_[495];
+ vX_[617] = 0 - vX_[1059];
+ vX_[3649] = vX_[3527] * -1 + vX_[3558] * -0.08;
+ vX_[3650] = vX_[3649] + vX_[3453] * -0.35;
+ vX_[3651] = vX_[3453] * vX_[131] + vX_[395] * vX_[137];
+ vX_[3652] = vX_[3453] * vX_[129] + vX_[395] * vX_[131];
+ vX_[3653] = vX_[3650] * 0.881 + (0 - vX_[3651]) * 0.110125 + vX_[3652] * -0.000881;
+ vX_[3654] = vX_[358] * -0.00370574557885489 + vX_[3623] * 0.880970354035369;
+ vX_[3655] = vX_[617] * vX_[902] + vX_[3653] * vX_[899] + vX_[3654] * x_in[32];
+ vX_[3051] = 0 - vX_[3620] + vX_[3051];
+ vX_[3620] = 0 - vX_[3653];
+ vX_[3656] = vX_[358] * 0.417781802643138 + vX_[3623] * -0.00370574557885489;
+ vX_[3657] = vX_[3051] * vX_[902] + vX_[3620] * vX_[907] - vX_[3656] * x_in[32];
+ vX_[3658] = 0 - vX_[3617];
+ vX_[3659] = vX_[3649] * 3.146 + (0 - vX_[3453]) * 0.47422804 + vX_[395] * 0.0825825;
+ vX_[3660] = vX_[502] * vX_[173] + vX_[295] * vX_[172] + vX_[3453] * vX_[149] + vX_[395] * vX_[147];
+ vX_[3661] = vX_[3655] * vX_[131] + vX_[3657] * vX_[129] + vX_[3658] * vX_[890] + vX_[3659] * vX_[887] + vX_[3660] * x_in[31];
+ vX_[315] = 0 - vX_[2746] + vX_[315];
+ vX_[2746] = 0 - vX_[3659];
+ vX_[3662] = vX_[502] * vX_[171] + vX_[295] * vX_[173] + vX_[3453] * vX_[155] + vX_[395] * vX_[154];
+ vX_[3663] = vX_[3655] * vX_[911] + vX_[3657] * vX_[131] + vX_[315] * vX_[890] + vX_[2746] * vX_[897] - vX_[3662] * x_in[31];
+ vX_[3664] = vX_[3527] * -3.44;
+ vX_[3665] = vX_[3558] * 0.1466472;
+ vX_[3666] = vX_[522] * -0.5824264;
+ vX_[3667] = 0 - vX_[3664] + vX_[3665] - vX_[3666];
+ vX_[3668] = 0 - vX_[978];
+ vX_[3669] = vX_[344] * vX_[225] + vX_[3527] * vX_[199] + vX_[348] * vX_[196] + vX_[349] * vX_[539] + vX_[522] * vX_[489];
+ vX_[3670] = vX_[3661] * vX_[903] + vX_[3663] * vX_[148] + vX_[3667] * vX_[813] + vX_[3668] * vX_[882] - vX_[3669] * x_in[30];
+ vX_[3671] = vX_[3300] + vX_[3318] + vX_[3205] - vX_[1218] - vX_[615];
+ vX_[3672] = 0 - vX_[3671];
+ vX_[1940] = vX_[1940] + vX_[3672] * vX_[198];
+ vX_[3581] = vX_[3581] + vX_[3671] * vX_[127];
+ vX_[3673] = 0 - vX_[3429];
+ vX_[3674] = 0 - vX_[3570];
+ vX_[3675] = vX_[3330] + vX_[3327] + vX_[3281] + vX_[3569] - vX_[3575] - vX_[3430];
+ vX_[970] = vX_[3675] - vX_[970];
+ vX_[3676] = 0 - vX_[966];
+ vX_[3677] = 0 - vX_[2321];
+ vX_[3678] = 0 - vX_[615];
+ vX_[3679] = vX_[3288] - vX_[3213];
+ vX_[3680] = vX_[3295] - vX_[3213];
+ vX_[3681] = vX_[3210] + vX_[3290];
+ vX_[3682] = vX_[3155] + vX_[3298];
+ vX_[3683] = vX_[3180] + vX_[3297];
+ vX_[3684] = 0 - vX_[3683];
+ vX_[3685] = vX_[3679] * vX_[211] + vX_[3681] * vX_[209];
+ vX_[3686] = vX_[3680] * vX_[211];
+ vX_[3687] = vX_[3679] * vX_[197] + vX_[3681] * vX_[211];
+ vX_[3688] = vX_[3680] * vX_[209];
+ vX_[3689] = vX_[3687] + vX_[3688];
+ vX_[3690] = vX_[3650] * -0.000881 + vX_[3652] * -0.000227999999999999;
+ vX_[3691] = vX_[3650] * 0.110125 + (0 - vX_[3651]) * 0.025713;
+ vX_[3692] = (0 - vX_[358]) * -0.000881;
+ vX_[3693] = (0 - vX_[3623]) * 0.110125;
+ vX_[3694] = vX_[3692] + vX_[3693];
+ vX_[3694] = vX_[617] * vX_[913] + vX_[3051] * vX_[905] + vX_[3690] * vX_[907] + vX_[3691] * vX_[899] + vX_[3694] * vX_[902] + vX_[3694] * vX_[902];
+ vX_[3051] = vX_[3649] * 0.0825825 + (0 - vX_[717]) * -0.000102 + vX_[3453] * -0.007418 + vX_[395] * 0.002735;
+ vX_[617] = vX_[3649] * 0.47422804 + vX_[717] * 2.1e-05 + (0 - vX_[3453]) * 0.084376 + (0 - vX_[395]) * -0.007418;
+ vX_[3695] = (0 - vX_[502]) * 0.0825825;
+ vX_[3696] = (0 - vX_[295]) * 0.47422804;
+ vX_[3697] = vX_[3453] * -0.000102;
+ vX_[3698] = (0 - vX_[395]) * 2.1e-05;
+ vX_[3699] = vX_[3695] + vX_[3696] + vX_[3697] + vX_[3698];
+ vX_[3699] = vX_[3694] + vX_[3655] * vX_[912] + vX_[3657] * vX_[130] + vX_[3658] * vX_[904] + vX_[315] * vX_[895] + vX_[3051] * vX_[897] + vX_[617] * vX_[887] + vX_[3699] * vX_[890] + vX_[3699] * vX_[890];
+ vX_[315] = vX_[3527] * -0.5824264 + (0 - vX_[3558]) * 0.022734 + vX_[349] * 3.6e-05 + vX_[522] * -0.133138;
+ vX_[3658] = vX_[3527] * 0.1466472 + vX_[3558] * 0.009466 + (0 - vX_[349]) * -5.1e-05 + vX_[522] * 0.022734;
+ vX_[3700] = (0 - vX_[344]) * -0.5824264;
+ vX_[3701] = (0 - vX_[348]) * 0.1466472;
+ vX_[3702] = (0 - vX_[3558]) * 3.6e-05;
+ vX_[3703] = (0 - vX_[522]) * -5.1e-05;
+ vX_[3704] = vX_[3700] + vX_[3701] + vX_[3702] - vX_[3703];
+ vX_[3705] = vX_[344] * vX_[230] + vX_[3527] * vX_[489] + vX_[348] * vX_[542] + vX_[349] * vX_[541] + vX_[522] * vX_[193];
+ vX_[3704] = vX_[3661] * vX_[886] + vX_[3663] * vX_[163] + vX_[3699] * -1 + vX_[592] * vX_[815] + vX_[3668] * vX_[894] + vX_[315] * vX_[813] + vX_[3658] * vX_[884] + vX_[3704] * vX_[882] + vX_[3704] * vX_[882] + vX_[3705] * x_in[30];
+ vX_[577] = vX_[358] * 0.110125 + vX_[3623] * -0.000881 + vX_[577] * 0.025941;
+ vX_[3652] = vX_[3650] * -0.000881 + vX_[3652] * 0.000468;
+ vX_[3693] = vX_[1059] * vX_[900] + vX_[3620] * vX_[905] + vX_[3690] * vX_[902] + vX_[577] * vX_[899] + vX_[3693] * vX_[907] + vX_[3693] * vX_[907] + vX_[3652] * x_in[32];
+ vX_[3651] = vX_[3650] * -0.110125 + vX_[3651] * 0.026409;
+ jac[1186] = vX_[3656] * vX_[909] + vX_[3654] * vX_[913] + vX_[3651] * vX_[938] + vX_[3652] * vX_[907] + vX_[3694];
+ vX_[3651] = vX_[3344] * vX_[900] + vX_[3653] * vX_[913] + vX_[3691] * vX_[902] + vX_[577] * vX_[907] + vX_[3692] * vX_[899] + vX_[3692] * vX_[899] - vX_[3651] * x_in[32];
+ vX_[577] = vX_[502] * 0.47422804 + vX_[295] * 0.0825825 + vX_[717] * 0.081641 + (0 - vX_[3453]) * 2.1e-05 + vX_[395] * -0.000102;
+ vX_[3692] = (0 - vX_[717]) * -0.007418;
+ vX_[3698] = vX_[3696] + vX_[3692] - vX_[3698];
+ vX_[3696] = vX_[3649] * vX_[142] + vX_[502] * vX_[154] + vX_[295] * vX_[147] + vX_[3453] * vX_[188] + vX_[395] * vX_[184];
+ vX_[3698] = vX_[3613] * -0.35 + vX_[3693] * vX_[131] + vX_[3651] * vX_[129] + vX_[3617] * vX_[888] + vX_[2746] * vX_[895] + vX_[3051] * vX_[890] + vX_[577] * vX_[887] + vX_[3698] * vX_[897] + vX_[3698] * vX_[897] + vX_[3696] * x_in[31];
+ vX_[3692] = vX_[3695] - vX_[3692] - vX_[3697];
+ vX_[3697] = vX_[3649] * vX_[151] + vX_[502] * vX_[155] + vX_[295] * vX_[149] + vX_[3453] * vX_[182] + vX_[395] * vX_[188];
+ jac[1150] = vX_[3662] * vX_[908] + vX_[3660] * vX_[904] + vX_[3697] * vX_[915] + vX_[3696] * vX_[897] + vX_[3699];
+ vX_[3697] = vX_[3693] * vX_[137] + vX_[3651] * vX_[131] + vX_[2949] * vX_[888] + vX_[3659] * vX_[904] + vX_[617] * vX_[890] + vX_[577] * vX_[897] + vX_[3692] * vX_[887] + vX_[3692] * vX_[887] - vX_[3697] * x_in[31];
+ vX_[3666] = vX_[3664] - vX_[3665] + vX_[3666];
+ vX_[3665] = vX_[344] * 0.1466472 + vX_[348] * -0.5824264 + vX_[3558] * -5.1e-05 + (0 - vX_[349]) * -0.123672 + (0 - vX_[522]) * 3.6e-05;
+ vX_[3664] = vX_[349] * 0.022734;
+ vX_[3702] = vX_[3700] - vX_[3702] - vX_[3664];
+ vX_[3700] = vX_[344] * vX_[167] + vX_[3527] * vX_[539] + vX_[348] * vX_[490] + vX_[349] * vX_[488] + vX_[522] * vX_[541];
+ vX_[3702] = vX_[3698] * vX_[157] + vX_[3697] * vX_[148] + vX_[3666] * vX_[815] + vX_[978] * vX_[814] + vX_[3665] * vX_[813] + vX_[3658] * vX_[882] + vX_[3702] * vX_[884] + vX_[3702] * vX_[884] - vX_[3700] * x_in[30];
+ vX_[3658] = 0 - vX_[1940];
+ vX_[978] = 0 - vX_[3581];
+ vX_[3675] = 0 - vX_[3675] + vX_[3568];
+ vX_[3568] = 0 - vX_[3493];
+ vX_[3683] = 0 - vX_[3683];
+ jac[466] = 0 - (0 - (vX_[3165] * vX_[941] + vX_[562] * x_in[22]) + (vX_[3068] * vX_[941] + vX_[558] * vX_[211] + vX_[562] * x_in[20]) * 0.3735 - (vX_[3129] * vX_[944] + vX_[3670] * x_in[23]) + (vX_[3012] * vX_[944] + vX_[3670] * x_in[19]) * -0.3735 + (vX_[3118] * vX_[944] + (vX_[731] * vX_[492] + vX_[3493] * vX_[545] + vX_[3671] * vX_[224] + vX_[3585] * vX_[226] + vX_[1940] * vX_[196] + vX_[3581] * vX_[205] + vX_[3673] * vX_[208] + vX_[3674] * vX_[225] + vX_[970] * vX_[214] + vX_[3676] * vX_[490] + vX_[3493] * vX_[542] + vX_[3677] * vX_[167] + vX_[3678] * vX_[497]) * -1 + vX_[3670] * x_in[18]) * -0.207 - (vX_[3068] * vX_[946] + vX_[3012] * vX_[917] + vX_[3679] * vX_[669] + vX_[3680] * vX_[667] + vX_[3681] * vX_[665] + vX_[3682] * vX_[648] + vX_[3684] * vX_[214] + vX_[3685] * vX_[351] + vX_[3686] * vX_[480] + vX_[3689] * vX_[196] + vX_[1368] * vX_[637] + vX_[3573] * vX_[605] + vX_[2463] * vX_[232] + vX_[640] * vX_[222] + vX_[3281] * vX_[636] + vX_[3569] * vX_[602] + vX_[3572] * vX_[601] + vX_[3580] * vX_[603] + vX_[992] * vX_[544] + vX_[3498] * vX_[604] + vX_[319] * vX_[221] + vX_[1437] * vX_[231] + vX_[557] * vX_[551] + vX_[2573] * vX_[549] + vX_[3646] * vX_[547] + vX_[975] * vX_[588] + vX_[973] * vX_[589] + vX_[418] * vX_[498] + vX_[2578] * vX_[494] + vX_[616] * vX_[546] + vX_[558] * vX_[212] + vX_[3704] * x_in[19] + vX_[3702] * x_in[20])) * vX_[3528] + (vX_[3129] * vX_[941] + vX_[3068] * vX_[917] + vX_[3679] * vX_[665] + vX_[3682] * vX_[214] + vX_[3687] * vX_[480] + vX_[3685] * vX_[196] + vX_[3573] * vX_[602] + vX_[2463] * vX_[222] + vX_[3281] * vX_[637] + vX_[3572] * vX_[544] + vX_[3580] * vX_[604] + vX_[319] * vX_[231] + vX_[557] * vX_[547] + vX_[975] * vX_[589] + vX_[2947] * vX_[494] + vX_[418] * vX_[546] + (vX_[966] * vX_[543] + vX_[3452] * vX_[176] + vX_[2321] * vX_[226] + vX_[3672] * vX_[200] + vX_[1218] * vX_[215] + vX_[3658] * vX_[199] + vX_[553] * vX_[208] + vX_[978] * vX_[196] + vX_[3576] * vX_[214] + vX_[3675] * vX_[225] + vX_[966] * vX_[539] + vX_[3568] * vX_[489] + vX_[2321] * vX_[230] + vX_[1218] * vX_[486]) * 0.207 + vX_[562] * x_in[23] + vX_[3704] * x_in[20] + (vX_[3012] * vX_[941] + vX_[558] * vX_[209] + vX_[562] * x_in[19]) * 0.3735 + (vX_[3118] * vX_[941] + vX_[562] * x_in[18]) * 0.207 - (vX_[3165] * vX_[944] + vX_[3670] * x_in[22]) + (vX_[3068] * vX_[944] + vX_[3670] * x_in[20]) * 0.3735 - (vX_[3012] * vX_[946] + vX_[3680] * vX_[666] + vX_[3681] * vX_[669] + vX_[3683] * vX_[648] + vX_[3686] * vX_[196] + vX_[3688] * vX_[351] + vX_[1368] * vX_[636] + vX_[640] * vX_[232] + vX_[3569] * vX_[605] + vX_[992] * vX_[601] + vX_[3498] * vX_[603] + vX_[1437] * vX_[221] + vX_[2573] * vX_[548] + vX_[3646] * vX_[551] + vX_[972] * vX_[588] + vX_[2578] * vX_[546] + vX_[318] * vX_[498] + vX_[558] * vX_[210] + vX_[3702] * x_in[19])) * vX_[989];
+ vX_[3681] = vX_[3305] * -1 + vX_[3125] * 0.207;
+ vX_[3680] = vX_[682] * vX_[125] + vX_[3317] * vX_[893] + vX_[3125] * vX_[891] + vX_[3242] * vX_[892] + vX_[3358] * vX_[126];
+ vX_[3679] = vX_[3125] * vX_[197] + vX_[3242] * vX_[211];
+ vX_[3672] = vX_[3681] * vX_[148] + vX_[3680] * vX_[903] + vX_[3679] * vX_[886];
+ vX_[3671] = vX_[3681] * vX_[128] + vX_[3680] * vX_[148] + vX_[3679] * vX_[163];
+ vX_[558] = vX_[3679] * -1;
+ vX_[3452] = vX_[3672] * 1 / vX_[145];
+ vX_[973] = vX_[3671] * 1 / vX_[145];
+ vX_[992] = vX_[558] * 1 / vX_[145];
+ vX_[3572] = vX_[3358] * -1;
+ vX_[731] = vX_[3681] * 1 / vX_[194];
+ vX_[972] = vX_[682] * vX_[197] + vX_[3317] * vX_[879] + vX_[3125] * vX_[212] + vX_[3242] * vX_[210] + vX_[3358] * vX_[880];
+ vX_[975] = vX_[972] * 1 / vX_[194];
+ vX_[3498] = vX_[3680] * 1 / vX_[194];
+ vX_[3569] = vX_[3572] * 1 / vX_[194];
+ vX_[3573] = vX_[3679] * 1 / vX_[194];
+ vX_[3580] = vX_[3125] * vX_[211] + vX_[3242] * vX_[209];
+ vX_[3281] = vX_[3580] * 1 / vX_[194];
+ vX_[3572] = vX_[3572] - (vX_[731] * vX_[206] + vX_[975] * vX_[168] + vX_[3498] * vX_[158] + vX_[3569] * vX_[194] + vX_[3573] * vX_[220] + vX_[3281] * vX_[229]);
+ vX_[1368] = vX_[3572] * vX_[148] + vX_[3580] * vX_[157];
+ vX_[3585] = vX_[1368] * 1 / vX_[145];
+ vX_[1437] = vX_[3572] * vX_[128] + vX_[3580] * vX_[148];
+ vX_[2463] = vX_[1437] * 1 / vX_[145];
+ vX_[558] = vX_[558] - (vX_[3452] * vX_[152] + vX_[973] * vX_[143] + vX_[992] * vX_[145] + vX_[3585] * 2.1e-05 + vX_[2463] * -0.000102);
+ vX_[319] = vX_[3672] * vX_[129] + vX_[3671] * vX_[131] + vX_[558] * vX_[130];
+ vX_[640] = vX_[3672] * vX_[131] + vX_[3671] * vX_[911] + vX_[558] * vX_[912];
+ vX_[616] = vX_[558] - (vX_[640] * 38.1956380581338 * 0.110125 + vX_[319] * 38.1956380581338 * 0.000881 + vX_[558] * 38.1956380581338 * 0.026181);
+ vX_[318] = vX_[319] * 0.881 + (0 - vX_[616]) * -0.000881;
+ vX_[2947] = vX_[640] * -0.881;
+ vX_[2578] = vX_[616] * 0.110125;
+ vX_[2573] = vX_[2947] - vX_[2578];
+ vX_[418] = vX_[318] * vX_[907] + vX_[2573] * vX_[899];
+ vX_[3646] = vX_[3671] * 3.146 + (0 - vX_[558]) * 0.0825825;
+ vX_[557] = vX_[3672] * -3.146;
+ vX_[3692] = vX_[558] * 0.47422804;
+ vX_[577] = vX_[557] - vX_[3692];
+ vX_[617] = vX_[418] + vX_[3646] * vX_[897] + vX_[577] * vX_[887];
+ vX_[3659] = vX_[3680] * 3.44 + vX_[3679] * -0.5824264;
+ vX_[2949] = 0 - vX_[3659];
+ vX_[3696] = vX_[3681] * 3.44 + (0 - vX_[3679]) * 0.1466472;
+ vX_[3699] = vX_[3681] * vX_[214] + vX_[972] * vX_[196] + vX_[3680] * vX_[205] + vX_[3679] * vX_[490] + vX_[3580] * vX_[542];
+ vX_[3662] = vX_[617] * -1 + vX_[2949] * vX_[813] + vX_[3696] * vX_[884] + vX_[3699] * x_in[30];
+ vX_[3660] = vX_[595] - vX_[1052];
+ vX_[3695] = vX_[3315] + vX_[645];
+ vX_[3051] = vX_[3660] * vX_[211] + vX_[3695] * vX_[209];
+ vX_[2746] = vX_[922] - vX_[1052];
+ vX_[3617] = vX_[2746] * vX_[211];
+ vX_[3613] = vX_[3660] * vX_[197] + vX_[3695] * vX_[211];
+ vX_[3691] = vX_[2746] * vX_[209];
+ vX_[3653] = vX_[3613] + vX_[3691];
+ vX_[3344] = vX_[3051] * vX_[197] + vX_[3617] * vX_[209] + vX_[3653] * vX_[211];
+ vX_[3652] = 0 - vX_[3344];
+ vX_[3694] = vX_[1052] + vX_[3613] * vX_[197] + vX_[3617] * vX_[211];
+ vX_[3656] = 0 - vX_[3694];
+ vX_[3654] = vX_[1052] + vX_[3051] * vX_[211] + vX_[3691] * vX_[209];
+ vX_[3650] = vX_[728] + vX_[3461];
+ vX_[3690] = vX_[3316] + vX_[694] - vX_[3650];
+ vX_[3620] = vX_[1014] + vX_[3460];
+ vX_[1059] = 0 - (vX_[3237] + vX_[700]) + vX_[3620];
+ vX_[358] = (vX_[3620] * vX_[197] + vX_[3650] * vX_[211]) * -1;
+ vX_[3623] = 0 - (vX_[3690] * vX_[211] + vX_[1059] * vX_[209]) + vX_[358];
+ vX_[3668] = vX_[3623] + vX_[3694] * vX_[198];
+ vX_[3706] = 0 - vX_[3668];
+ vX_[3707] = (vX_[3620] * vX_[211] + vX_[3650] * vX_[209]) * -1;
+ vX_[3708] = vX_[3690] * vX_[197] + vX_[1059] * vX_[211] + vX_[3707];
+ vX_[3709] = 0 - vX_[3654];
+ vX_[3710] = vX_[3708] + vX_[3344] * vX_[198] + vX_[3709] * vX_[127];
+ vX_[3711] = vX_[3306] + vX_[3442];
+ vX_[3712] = vX_[3371] + vX_[680];
+ vX_[3713] = vX_[3711] * vX_[209] + vX_[3712] * vX_[211];
+ vX_[3714] = vX_[3269] + vX_[3393];
+ vX_[3715] = vX_[3322] + vX_[861];
+ vX_[3716] = vX_[3714] * vX_[211] + vX_[3715] * vX_[209];
+ vX_[3717] = vX_[3713] * vX_[197] + vX_[3716] * vX_[211];
+ vX_[3718] = vX_[3346] + vX_[692];
+ vX_[3719] = vX_[1050] + vX_[3463];
+ vX_[3720] = 0 - vX_[3719];
+ vX_[3721] = vX_[3718] * vX_[211] + vX_[3720] * vX_[209];
+ vX_[3722] = 0 - vX_[3721];
+ vX_[3723] = vX_[3717] + vX_[3722] * vX_[127] + vX_[3656] * vX_[213];
+ vX_[3724] = 0 - vX_[3723];
+ vX_[3725] = vX_[3711] * vX_[211] + vX_[3712] * vX_[197];
+ vX_[3726] = vX_[3714] * vX_[197] + vX_[3715] * vX_[211];
+ vX_[3727] = vX_[3725] * vX_[211] + vX_[3726] * vX_[209];
+ vX_[3719] = 0 - vX_[3719];
+ vX_[3728] = vX_[3718] * vX_[197] + vX_[3719] * vX_[211];
+ vX_[3729] = 0 - vX_[3728];
+ vX_[3730] = vX_[3727] + vX_[3729] * vX_[198] + vX_[3654] * vX_[213];
+ vX_[3731] = vX_[3725] * vX_[197] + vX_[3726] * vX_[211];
+ vX_[3732] = vX_[3731] + vX_[3721] * vX_[198];
+ vX_[3733] = vX_[3713] * vX_[211] + vX_[3716] * vX_[209];
+ vX_[3734] = vX_[3733] + vX_[3728] * vX_[127] + vX_[3652] * vX_[213];
+ vX_[3735] = 0 - vX_[3732] + vX_[3734];
+ vX_[3736] = 0 - vX_[3344];
+ vX_[3737] = 0 - vX_[3694];
+ vX_[3656] = vX_[3652] * vX_[545] + vX_[3656] * vX_[492] + vX_[3654] * vX_[176] + vX_[3706] * vX_[214] + vX_[3710] * vX_[225] + vX_[3724] * vX_[205] + vX_[3730] * vX_[199] + vX_[3735] * vX_[196] + vX_[3344] * vX_[539] + vX_[3736] * vX_[542] + vX_[3737] * vX_[491] + vX_[3654] * vX_[495];
+ vX_[3652] = 0 - vX_[318];
+ vX_[495] = vX_[972] * -1 + vX_[3572] * -0.08;
+ vX_[491] = vX_[495] + vX_[1368] * -0.35;
+ vX_[3738] = vX_[1368] * vX_[131] + vX_[1437] * vX_[137];
+ vX_[3739] = vX_[1368] * vX_[129] + vX_[1437] * vX_[131];
+ vX_[3740] = vX_[491] * 0.881 + (0 - vX_[3738]) * 0.110125 + vX_[3739] * -0.000881;
+ vX_[3741] = vX_[640] * -0.00370574557885489 + vX_[319] * 0.880970354035369;
+ vX_[3742] = vX_[3652] * vX_[902] + vX_[3740] * vX_[899] + vX_[3741] * x_in[32];
+ vX_[2578] = 0 - vX_[2947] + vX_[2578];
+ vX_[2947] = 0 - vX_[3740];
+ vX_[3743] = vX_[640] * 0.417781802643138 + vX_[319] * -0.00370574557885489;
+ vX_[3744] = vX_[2578] * vX_[902] + vX_[2947] * vX_[907] - vX_[3743] * x_in[32];
+ vX_[3745] = 0 - vX_[3646];
+ vX_[3746] = vX_[495] * 3.146 + (0 - vX_[1368]) * 0.47422804 + vX_[1437] * 0.0825825;
+ vX_[3747] = vX_[3672] * vX_[173] + vX_[3671] * vX_[172] + vX_[1368] * vX_[149] + vX_[1437] * vX_[147];
+ vX_[3748] = vX_[3742] * vX_[131] + vX_[3744] * vX_[129] + vX_[3745] * vX_[890] + vX_[3746] * vX_[887] + vX_[3747] * x_in[31];
+ vX_[3692] = 0 - vX_[557] + vX_[3692];
+ vX_[557] = 0 - vX_[3746];
+ vX_[3749] = vX_[3672] * vX_[171] + vX_[3671] * vX_[173] + vX_[1368] * vX_[155] + vX_[1437] * vX_[154];
+ vX_[911] = vX_[3742] * vX_[911] + vX_[3744] * vX_[131] + vX_[3692] * vX_[890] + vX_[557] * vX_[897] - vX_[3749] * x_in[31];
+ vX_[3750] = vX_[972] * -3.44;
+ vX_[3751] = vX_[3572] * 0.1466472;
+ vX_[3752] = vX_[3580] * -0.5824264;
+ vX_[3753] = 0 - vX_[3750] + vX_[3751] - vX_[3752];
+ vX_[3754] = 0 - vX_[3696];
+ vX_[3755] = vX_[3681] * vX_[225] + vX_[972] * vX_[199] + vX_[3680] * vX_[196] + vX_[3679] * vX_[539] + vX_[3580] * vX_[489];
+ vX_[3756] = vX_[3748] * vX_[903] + vX_[911] * vX_[148] + vX_[3753] * vX_[813] + vX_[3754] * vX_[882] - vX_[3755] * x_in[30];
+ vX_[3757] = vX_[595] + vX_[922] + vX_[1052] - vX_[3694] - vX_[3654];
+ vX_[3758] = 0 - vX_[3757];
+ vX_[358] = vX_[358] + vX_[3758] * vX_[198];
+ vX_[3707] = vX_[3707] + vX_[3757] * vX_[127];
+ vX_[3759] = 0 - vX_[3710];
+ vX_[3760] = 0 - vX_[3730];
+ vX_[3761] = vX_[3465] + vX_[3462] + vX_[3712] + vX_[3715] - vX_[3731] - vX_[3733];
+ vX_[3734] = vX_[3761] - vX_[3734];
+ vX_[3762] = 0 - vX_[3721];
+ vX_[3763] = 0 - vX_[3344];
+ vX_[3764] = 0 - vX_[3654];
+ vX_[3765] = vX_[3439] - vX_[1016];
+ vX_[3766] = vX_[703] - vX_[1016];
+ vX_[3767] = vX_[3362] + vX_[3441];
+ vX_[3768] = vX_[3307] + vX_[3445];
+ vX_[3769] = vX_[3332] + vX_[3444];
+ vX_[3770] = 0 - vX_[3769];
+ vX_[3771] = vX_[3765] * vX_[211] + vX_[3767] * vX_[209];
+ vX_[3772] = vX_[3766] * vX_[211];
+ vX_[3773] = vX_[3765] * vX_[197] + vX_[3767] * vX_[211];
+ vX_[3774] = vX_[3766] * vX_[209];
+ vX_[3775] = vX_[3773] + vX_[3774];
+ vX_[3776] = vX_[491] * -0.000881 + vX_[3739] * -0.000227999999999999;
+ vX_[3777] = vX_[491] * 0.110125 + (0 - vX_[3738]) * 0.025713;
+ vX_[3778] = (0 - vX_[640]) * -0.000881;
+ vX_[3779] = (0 - vX_[319]) * 0.110125;
+ vX_[3780] = vX_[3778] + vX_[3779];
+ vX_[3780] = vX_[3652] * vX_[913] + vX_[2578] * vX_[905] + vX_[3776] * vX_[907] + vX_[3777] * vX_[899] + vX_[3780] * vX_[902] + vX_[3780] * vX_[902];
+ vX_[2578] = vX_[495] * 0.0825825 + (0 - vX_[558]) * -0.000102 + vX_[1368] * -0.007418 + vX_[1437] * 0.002735;
+ vX_[3652] = vX_[495] * 0.47422804 + vX_[558] * 2.1e-05 + (0 - vX_[1368]) * 0.084376 + (0 - vX_[1437]) * -0.007418;
+ vX_[3781] = (0 - vX_[3672]) * 0.0825825;
+ vX_[3782] = (0 - vX_[3671]) * 0.47422804;
+ vX_[3783] = vX_[1368] * -0.000102;
+ vX_[3784] = (0 - vX_[1437]) * 2.1e-05;
+ vX_[3785] = vX_[3781] + vX_[3782] + vX_[3783] + vX_[3784];
+ vX_[3785] = vX_[3780] + vX_[3742] * vX_[912] + vX_[3744] * vX_[130] + vX_[3745] * vX_[904] + vX_[3692] * vX_[895] + vX_[2578] * vX_[897] + vX_[3652] * vX_[887] + vX_[3785] * vX_[890] + vX_[3785] * vX_[890];
+ vX_[3692] = vX_[972] * -0.5824264 + (0 - vX_[3572]) * 0.022734 + vX_[3679] * 3.6e-05 + vX_[3580] * -0.133138;
+ vX_[3745] = vX_[972] * 0.1466472 + vX_[3572] * 0.009466 + (0 - vX_[3679]) * -5.1e-05 + vX_[3580] * 0.022734;
+ vX_[912] = (0 - vX_[3681]) * -0.5824264;
+ vX_[3786] = (0 - vX_[3680]) * 0.1466472;
+ vX_[3787] = (0 - vX_[3572]) * 3.6e-05;
+ vX_[3788] = (0 - vX_[3580]) * -5.1e-05;
+ vX_[3789] = vX_[912] + vX_[3786] + vX_[3787] - vX_[3788];
+ vX_[193] = vX_[3681] * vX_[230] + vX_[972] * vX_[489] + vX_[3680] * vX_[542] + vX_[3679] * vX_[541] + vX_[3580] * vX_[193];
+ vX_[3789] = vX_[3748] * vX_[886] + vX_[911] * vX_[163] + vX_[3785] * -1 + vX_[3659] * vX_[815] + vX_[3754] * vX_[894] + vX_[3692] * vX_[813] + vX_[3745] * vX_[884] + vX_[3789] * vX_[882] + vX_[3789] * vX_[882] + vX_[193] * x_in[30];
+ vX_[616] = vX_[640] * 0.110125 + vX_[319] * -0.000881 + vX_[616] * 0.025941;
+ vX_[3739] = vX_[491] * -0.000881 + vX_[3739] * 0.000468;
+ vX_[3779] = vX_[318] * vX_[900] + vX_[2947] * vX_[905] + vX_[3776] * vX_[902] + vX_[616] * vX_[899] + vX_[3779] * vX_[907] + vX_[3779] * vX_[907] + vX_[3739] * x_in[32];
+ vX_[3738] = vX_[491] * -0.110125 + vX_[3738] * 0.026409;
+ jac[1187] = vX_[3743] * vX_[909] + vX_[3741] * vX_[913] + vX_[3738] * vX_[938] + vX_[3739] * vX_[907] + vX_[3780];
+ vX_[3738] = vX_[2573] * vX_[900] + vX_[3740] * vX_[913] + vX_[3777] * vX_[902] + vX_[616] * vX_[907] + vX_[3778] * vX_[899] + vX_[3778] * vX_[899] - vX_[3738] * x_in[32];
+ vX_[616] = vX_[3672] * 0.47422804 + vX_[3671] * 0.0825825 + vX_[558] * 0.081641 + (0 - vX_[1368]) * 2.1e-05 + vX_[1437] * -0.000102;
+ vX_[3778] = (0 - vX_[558]) * -0.007418;
+ vX_[3784] = vX_[3782] + vX_[3778] - vX_[3784];
+ vX_[184] = vX_[495] * vX_[142] + vX_[3672] * vX_[154] + vX_[3671] * vX_[147] + vX_[1368] * vX_[188] + vX_[1437] * vX_[184];
+ vX_[3784] = vX_[418] * -0.35 + vX_[3779] * vX_[131] + vX_[3738] * vX_[129] + vX_[3646] * vX_[888] + vX_[557] * vX_[895] + vX_[2578] * vX_[890] + vX_[616] * vX_[887] + vX_[3784] * vX_[897] + vX_[3784] * vX_[897] + vX_[184] * x_in[31];
+ vX_[3778] = vX_[3781] - vX_[3778] - vX_[3783];
+ vX_[182] = vX_[495] * vX_[151] + vX_[3672] * vX_[155] + vX_[3671] * vX_[149] + vX_[1368] * vX_[182] + vX_[1437] * vX_[188];
+ jac[1151] = vX_[3749] * vX_[908] + vX_[3747] * vX_[904] + vX_[182] * vX_[915] + vX_[184] * vX_[897] + vX_[3785];
+ vX_[182] = vX_[3779] * vX_[137] + vX_[3738] * vX_[131] + vX_[577] * vX_[888] + vX_[3746] * vX_[904] + vX_[3652] * vX_[890] + vX_[616] * vX_[897] + vX_[3778] * vX_[887] + vX_[3778] * vX_[887] - vX_[182] * x_in[31];
+ vX_[3752] = vX_[3750] - vX_[3751] + vX_[3752];
+ vX_[3751] = vX_[3681] * 0.1466472 + vX_[3680] * -0.5824264 + vX_[3572] * -5.1e-05 + (0 - vX_[3679]) * -0.123672 + (0 - vX_[3580]) * 3.6e-05;
+ vX_[3750] = vX_[3679] * 0.022734;
+ vX_[3787] = vX_[912] - vX_[3787] - vX_[3750];
+ vX_[541] = vX_[3681] * vX_[167] + vX_[972] * vX_[539] + vX_[3680] * vX_[490] + vX_[3679] * vX_[488] + vX_[3580] * vX_[541];
+ vX_[3787] = vX_[3784] * vX_[157] + vX_[182] * vX_[148] + vX_[3752] * vX_[815] + vX_[3696] * vX_[814] + vX_[3751] * vX_[813] + vX_[3745] * vX_[882] + vX_[3787] * vX_[884] + vX_[3787] * vX_[884] - vX_[541] * x_in[30];
+ vX_[3745] = 0 - vX_[358];
+ vX_[3696] = 0 - vX_[3707];
+ vX_[3761] = 0 - vX_[3761] + vX_[3732];
+ vX_[3732] = 0 - vX_[3728];
+ vX_[3769] = 0 - vX_[3769];
+ jac[467] = 0 - (0 - (vX_[3317] * vX_[941] + vX_[3662] * x_in[22]) + (vX_[3125] * vX_[941] + vX_[3656] * vX_[211] + vX_[3662] * x_in[20]) * 0.3735 - (vX_[682] * vX_[944] + vX_[3756] * x_in[23]) + (vX_[3242] * vX_[944] + vX_[3756] * x_in[19]) * -0.3735 + (vX_[3358] * vX_[944] + (vX_[3722] * vX_[492] + vX_[3728] * vX_[545] + vX_[3757] * vX_[224] + vX_[3709] * vX_[226] + vX_[358] * vX_[196] + vX_[3707] * vX_[205] + vX_[3759] * vX_[208] + vX_[3760] * vX_[225] + vX_[3734] * vX_[214] + vX_[3762] * vX_[490] + vX_[3728] * vX_[542] + vX_[3763] * vX_[167] + vX_[3764] * vX_[497]) * -1 + vX_[3756] * x_in[18]) * -0.207 - (vX_[3125] * vX_[946] + vX_[3242] * vX_[917] + vX_[3765] * vX_[669] + vX_[3766] * vX_[667] + vX_[3767] * vX_[665] + vX_[3768] * vX_[648] + vX_[3770] * vX_[214] + vX_[3771] * vX_[351] + vX_[3772] * vX_[480] + vX_[3775] * vX_[196] + vX_[3711] * vX_[637] + vX_[3714] * vX_[605] + vX_[3620] * vX_[232] + vX_[3650] * vX_[222] + vX_[3712] * vX_[636] + vX_[3715] * vX_[602] + vX_[3725] * vX_[601] + vX_[3713] * vX_[603] + vX_[3726] * vX_[544] + vX_[3716] * vX_[604] + vX_[3690] * vX_[221] + vX_[1059] * vX_[231] + vX_[3660] * vX_[551] + vX_[2746] * vX_[549] + vX_[3695] * vX_[547] + vX_[3718] * vX_[588] + vX_[3719] * vX_[589] + vX_[3051] * vX_[498] + vX_[3617] * vX_[494] + vX_[3653] * vX_[546] + vX_[3656] * vX_[212] + vX_[3789] * x_in[19] + vX_[3787] * x_in[20])) * vX_[3528] + (vX_[682] * vX_[941] + vX_[3125] * vX_[917] + vX_[3765] * vX_[665] + vX_[3768] * vX_[214] + vX_[3773] * vX_[480] + vX_[3771] * vX_[196] + vX_[3714] * vX_[602] + vX_[3620] * vX_[222] + vX_[3712] * vX_[637] + vX_[3725] * vX_[544] + vX_[3713] * vX_[604] + vX_[3690] * vX_[231] + vX_[3660] * vX_[547] + vX_[3718] * vX_[589] + vX_[3613] * vX_[494] + vX_[3051] * vX_[546] + (vX_[3721] * vX_[543] + vX_[3729] * vX_[176] + vX_[3344] * vX_[226] + vX_[3758] * vX_[200] + vX_[3694] * vX_[215] + vX_[3745] * vX_[199] + vX_[3668] * vX_[208] + vX_[3696] * vX_[196] + vX_[3723] * vX_[214] + vX_[3761] * vX_[225] + vX_[3721] * vX_[539] + vX_[3732] * vX_[489] + vX_[3344] * vX_[230] + vX_[3694] * vX_[486]) * 0.207 + vX_[3662] * x_in[23] + vX_[3789] * x_in[20] + (vX_[3242] * vX_[941] + vX_[3656] * vX_[209] + vX_[3662] * x_in[19]) * 0.3735 + (vX_[3358] * vX_[941] + vX_[3662] * x_in[18]) * 0.207 - (vX_[3317] * vX_[944] + vX_[3756] * x_in[22]) + (vX_[3125] * vX_[944] + vX_[3756] * x_in[20]) * 0.3735 - (vX_[3242] * vX_[946] + vX_[3766] * vX_[666] + vX_[3767] * vX_[669] + vX_[3769] * vX_[648] + vX_[3772] * vX_[196] + vX_[3774] * vX_[351] + vX_[3711] * vX_[636] + vX_[3650] * vX_[232] + vX_[3715] * vX_[605] + vX_[3726] * vX_[601] + vX_[3716] * vX_[603] + vX_[1059] * vX_[221] + vX_[2746] * vX_[548] + vX_[3695] * vX_[551] + vX_[3720] * vX_[588] + vX_[3617] * vX_[546] + vX_[3691] * vX_[498] + vX_[3656] * vX_[210] + vX_[3787] * x_in[19])) * vX_[989];
+ vX_[3457] = vX_[713] + vX_[3457] * vX_[197] + vX_[3428] * vX_[211];
+ vX_[3497] = vX_[713] + vX_[1226] * vX_[211] + vX_[3497] * vX_[209];
+ vX_[3525] = vX_[698] + vX_[964] + vX_[713] - vX_[3457] - vX_[3497] + vX_[253] * vX_[198] + vX_[3525] * vX_[127];
+ vX_[3497] = vX_[3497] + vX_[257] * vX_[127] + vX_[414] * vX_[213] + vX_[606] * vX_[933];
+ vX_[257] = vX_[3525] - vX_[3497];
+ vX_[3522] = vX_[3474] * vX_[197] + vX_[3522] * vX_[211] + vX_[258] * vX_[213] + vX_[239] * vX_[198] + vX_[302] * vX_[127] + vX_[737] * vX_[933];
+ vX_[302] = vX_[257] * vX_[148] + vX_[3522] * vX_[157];
+ vX_[239] = vX_[257] * vX_[128] + vX_[3522] * vX_[148];
+ vX_[3539] = vX_[267] + vX_[3539] * vX_[127] + vX_[300] * vX_[198] * 2. + vX_[737] * vX_[929];
+ vX_[267] = 0 - vX_[3522];
+ vX_[771] = 0 - (vX_[1226] * vX_[197] + vX_[3428] * vX_[209] + vX_[949] * vX_[211] + vX_[268] * vX_[127] + vX_[771] * vX_[198] + vX_[274] * vX_[213] + vX_[520] * vX_[933] + vX_[606] * vX_[932]);
+ vX_[949] = 0 - vX_[3497];
+ vX_[434] = vX_[246] + vX_[434] * vX_[127] + vX_[283] * vX_[213] * 2. + vX_[606] * vX_[929] + vX_[273] * vX_[933];
+ vX_[283] = 0 - vX_[434];
+ vX_[263] = vX_[306] + vX_[994] * vX_[127] + vX_[263] * vX_[213] + vX_[606] * vX_[930] + vX_[3622] * vX_[933];
+ vX_[306] = 0 - vX_[263];
+ vX_[994] = (vX_[949] * vX_[158] + vX_[283] * vX_[220] + vX_[306] * vX_[229]) * 1 / vX_[194];
+ vX_[949] = vX_[1001] * vX_[920] + vX_[267] * vX_[207] + vX_[771] * vX_[195] + vX_[949] * vX_[223] + vX_[994];
+ vX_[629] = vX_[256] + vX_[958] * vX_[198] + vX_[629] * vX_[127] * 2. + vX_[737] * vX_[930];
+ vX_[3525] = 0 - vX_[3525];
+ vX_[3532] = 0 - (0 - (vX_[3474] * vX_[211] + vX_[3532] * vX_[209]) + vX_[254] * vX_[213] + vX_[3519] * vX_[127] + vX_[1568] * vX_[198] + vX_[737] * vX_[932]);
+ vX_[1568] = 0 - vX_[3539];
+ vX_[3474] = 0 - vX_[629];
+ vX_[267] = (vX_[3525] * vX_[206] + vX_[3532] * vX_[168] + vX_[267] * vX_[158] + vX_[1568] * vX_[220] + vX_[3474] * vX_[229]) * 1 / vX_[194];
+ vX_[3525] = vX_[250] * vX_[920] + vX_[3525] * vX_[207] + vX_[267];
+ vX_[3519] = vX_[949] * vX_[157] + vX_[3525] * vX_[148];
+ vX_[254] = vX_[949] * vX_[148] + vX_[3525] * vX_[128];
+ vX_[256] = vX_[629] * vX_[148] + vX_[263] * vX_[157];
+ vX_[246] = vX_[629] * vX_[128] + vX_[263] * vX_[148];
+ vX_[981] = vX_[991] + vX_[981] * vX_[198] + vX_[298] * vX_[213] * 2. + vX_[520] * vX_[930] + vX_[3622] * vX_[932];
+ vX_[991] = vX_[434] - vX_[981];
+ vX_[3457] = 0 - (vX_[3457] + vX_[3423] * vX_[198] + vX_[1005] * vX_[213] + vX_[520] * vX_[932]);
+ vX_[998] = 0 - (vX_[998] + vX_[241] * vX_[198] + vX_[958] * vX_[213] + vX_[520] * vX_[929] + vX_[273] * vX_[932]);
+ vX_[981] = 0 - vX_[981];
+ vX_[771] = (vX_[3457] * vX_[168] + vX_[771] * vX_[158] + vX_[998] * vX_[220] + vX_[981] * vX_[229]) * 1 / vX_[194];
+ vX_[3457] = 0 - vX_[3539] + vX_[3638] * vX_[920] + vX_[3532] * vX_[207] + vX_[3457] * vX_[195] + vX_[771];
+ vX_[298] = vX_[298] + vX_[3622] * vX_[930];
+ vX_[300] = vX_[300] + vX_[273] * vX_[929];
+ vX_[3532] = 0 - vX_[300];
+ vX_[958] = vX_[958] + vX_[273] * vX_[930] + vX_[3622] * vX_[929];
+ vX_[241] = 0 - vX_[958];
+ vX_[520] = (vX_[3532] * vX_[220] + vX_[241] * vX_[229]) * 1 / vX_[194];
+ vX_[3423] = 0 - vX_[298];
+ vX_[1005] = vX_[3423] * vX_[229] * 1 / vX_[194];
+ vX_[771] = 0 - vX_[250] * vX_[947] - vX_[3638] * vX_[885] - vX_[1001] * vX_[936] - vX_[3609] * vX_[948] + vX_[3609] * vX_[920] - vX_[630] * vX_[923] - vX_[3602] * vX_[939] - vX_[267] * vX_[207] - vX_[771] * vX_[195] - vX_[994] * vX_[223] - vX_[520] * vX_[487] - vX_[1005] * vX_[496];
+ vX_[267] = 0 - vX_[298] + vX_[771];
+ vX_[1005] = vX_[3602] * vX_[920] + vX_[3474] * vX_[207] + vX_[981] * vX_[195] + vX_[306] * vX_[223] + vX_[241] * vX_[487] + vX_[3423] * vX_[496] + vX_[1005];
+ vX_[520] = vX_[630] * vX_[920] + vX_[1568] * vX_[207] + vX_[998] * vX_[195] + vX_[283] * vX_[223] + vX_[3532] * vX_[487] + vX_[520];
+ vX_[3532] = vX_[267] * vX_[148] + vX_[1005] * vX_[157];
+ vX_[998] = vX_[267] * vX_[128] + vX_[1005] * vX_[148];
+ vX_[1568] = vX_[3532] * vX_[128] + vX_[998] * vX_[148];
+ vX_[283] = vX_[298] + vX_[3532] * vX_[148];
+ vX_[630] = vX_[298] + vX_[998] * vX_[128];
+ vX_[771] = vX_[300] + vX_[298] + vX_[771] - vX_[283] - vX_[630];
+ vX_[300] = 0 - vX_[771];
+ vX_[298] = (vX_[3539] * vX_[148] + vX_[434] * vX_[157]) * -1;
+ vX_[3423] = vX_[298] + vX_[300] * vX_[159];
+ vX_[241] = 0 - vX_[3423];
+ vX_[298] = 0 - (vX_[991] * vX_[128] + vX_[3457] * vX_[148]) + vX_[298];
+ vX_[981] = (vX_[3539] * vX_[128] + vX_[434] * vX_[148]) * -1;
+ vX_[3474] = vX_[981] + vX_[771] * vX_[164];
+ vX_[306] = 0 - vX_[3474];
+ vX_[3602] = 0 - (vX_[958] * vX_[128] + vX_[520] * vX_[148]) + vX_[958] * vX_[157] * -1 * 2.;
+ vX_[994] = 0 - vX_[3602];
+ vX_[3609] = vX_[958] * vX_[148] + vX_[520] * vX_[157] + vX_[958] * vX_[148] * -1 * 2.;
+ vX_[1001] = 0 - vX_[3609];
+ vX_[3638] = sin(x_in[13]);
+ vX_[250] = 0 - vX_[630];
+ vX_[981] = vX_[991] * vX_[148] + vX_[3457] * vX_[157] + vX_[981];
+ vX_[3428] = 0 - vX_[1568];
+ vX_[1226] = 0 - vX_[630];
+ vX_[268] = cos(x_in[13]);
+ jac[486] = 0 - (vX_[737] * vX_[896] + vX_[606] * vX_[921] + vX_[1083] * vX_[924] + vX_[3622] * vX_[926] + vX_[257] * vX_[204] + vX_[3522] * vX_[202] + vX_[302] * vX_[203] + vX_[239] * vX_[173] + vX_[3539] * vX_[161] + vX_[949] * vX_[150] + vX_[629] * vX_[227] + vX_[434] * vX_[216] + vX_[3525] * vX_[156] + vX_[263] * vX_[228] + vX_[3519] * vX_[155] + vX_[254] * vX_[149] + vX_[256] * vX_[154] + vX_[246] * vX_[147] + vX_[991] * vX_[166] + vX_[3457] * vX_[162] + vX_[267] * vX_[192] + vX_[1005] * vX_[190] + vX_[958] * vX_[540] + vX_[958] * vX_[217] + vX_[520] * vX_[219] + vX_[3532] * vX_[144] + vX_[998] * vX_[189] + (vX_[1568] * vX_[165] + vX_[300] * vX_[175] + vX_[283] * vX_[160] + vX_[241] * vX_[171] + (vX_[298] + vX_[283] * vX_[159]) * 4.027 + vX_[306] * vX_[173] + vX_[994] * vX_[155] + vX_[1001] * vX_[154] + vX_[1568] * vX_[142] + vX_[283] * vX_[191]) * -0.08 + vX_[3552] * vX_[815] + vX_[1688] * vX_[894] + vX_[612] * vX_[813] + vX_[1188] * vX_[884] + (vX_[273] * vX_[896] + vX_[3552] * vX_[882]) * -0.08) * vX_[3638] + (vX_[737] * vX_[921] + vX_[1083] * vX_[926] + vX_[257] * vX_[202] + vX_[302] * vX_[173] + vX_[239] * vX_[201] + vX_[3539] * vX_[216] + vX_[629] * vX_[228] + vX_[3525] * vX_[150] + vX_[3519] * vX_[154] + vX_[254] * vX_[147] + vX_[991] * vX_[162] + vX_[267] * vX_[190] + vX_[958] * vX_[219] + vX_[3532] * vX_[189] + vX_[998] * vX_[186] + vX_[1688] * vX_[815] + vX_[1188] * vX_[813] - (vX_[606] * vX_[896] + vX_[3552] * vX_[894]) + (vX_[273] * vX_[921] + (vX_[771] * vX_[174] + vX_[250] * vX_[165] + vX_[3423] * vX_[173] + vX_[3474] * vX_[172] + (0 - (vX_[981] + vX_[1568] * vX_[159] + vX_[250] * vX_[164])) * 4.027 + vX_[3602] * vX_[149] + vX_[3609] * vX_[147] + vX_[3428] * vX_[151] + vX_[1226] * vX_[185]) * -1 + vX_[1688] * vX_[882]) * -0.08 - (vX_[3622] * vX_[924] + vX_[3522] * vX_[204] + vX_[949] * vX_[156] + vX_[434] * vX_[161] + vX_[263] * vX_[227] + vX_[256] * vX_[155] + vX_[246] * vX_[149] + vX_[3457] * vX_[166] + vX_[1005] * vX_[192] + vX_[958] * vX_[218] + vX_[520] * vX_[217] + vX_[612] * vX_[884])) * vX_[268];
+ vX_[1319] = vX_[1043] + vX_[1319] * vX_[197] + vX_[2078] * vX_[211];
+ vX_[2008] = vX_[1043] + vX_[1800] * vX_[211] + vX_[2008] * vX_[209];
+ vX_[1581] = vX_[1138] + vX_[1145] + vX_[1043] - vX_[1319] - vX_[2008] + vX_[1762] * vX_[198] + vX_[1581] * vX_[127];
+ vX_[2008] = vX_[2008] + vX_[597] * vX_[127] + vX_[1203] * vX_[213] + vX_[3545] * vX_[933];
+ vX_[597] = vX_[1581] - vX_[2008];
+ vX_[1909] = vX_[2495] * vX_[197] + vX_[1909] * vX_[211] + vX_[470] * vX_[213] + vX_[3451] * vX_[198] + vX_[2061] * vX_[127] + vX_[3520] * vX_[933];
+ vX_[2061] = vX_[597] * vX_[148] + vX_[1909] * vX_[157];
+ vX_[3451] = vX_[597] * vX_[128] + vX_[1909] * vX_[148];
+ vX_[1875] = vX_[1687] + vX_[1875] * vX_[127] + vX_[265] * vX_[198] * 2. + vX_[3520] * vX_[929];
+ vX_[1687] = 0 - vX_[1909];
+ vX_[1135] = 0 - (vX_[1800] * vX_[197] + vX_[2078] * vX_[209] + vX_[2464] * vX_[211] + vX_[756] * vX_[127] + vX_[1135] * vX_[198] + vX_[2707] * vX_[213] + vX_[242] * vX_[933] + vX_[3545] * vX_[932]);
+ vX_[2464] = 0 - vX_[2008];
+ vX_[2058] = vX_[684] + vX_[2058] * vX_[127] + vX_[1318] * vX_[213] * 2. + vX_[3545] * vX_[929] + vX_[3559] * vX_[933];
+ vX_[1318] = 0 - vX_[2058];
+ vX_[1357] = vX_[686] + vX_[1631] * vX_[127] + vX_[1357] * vX_[213] + vX_[3545] * vX_[930] + vX_[245] * vX_[933];
+ vX_[686] = 0 - vX_[1357];
+ vX_[1631] = (vX_[2464] * vX_[158] + vX_[1318] * vX_[220] + vX_[686] * vX_[229]) * 1 / vX_[194];
+ vX_[2464] = vX_[247] * vX_[920] + vX_[1687] * vX_[207] + vX_[1135] * vX_[195] + vX_[2464] * vX_[223] + vX_[1631];
+ vX_[1885] = vX_[570] + vX_[772] * vX_[198] + vX_[1885] * vX_[127] * 2. + vX_[3520] * vX_[930];
+ vX_[1581] = 0 - vX_[1581];
+ vX_[2431] = 0 - (0 - (vX_[2495] * vX_[211] + vX_[2431] * vX_[209]) + vX_[1827] * vX_[213] + vX_[1375] * vX_[127] + vX_[1856] * vX_[198] + vX_[3520] * vX_[932]);
+ vX_[1856] = 0 - vX_[1875];
+ vX_[2495] = 0 - vX_[1885];
+ vX_[1687] = (vX_[1581] * vX_[206] + vX_[2431] * vX_[168] + vX_[1687] * vX_[158] + vX_[1856] * vX_[220] + vX_[2495] * vX_[229]) * 1 / vX_[194];
+ vX_[1581] = vX_[240] * vX_[920] + vX_[1581] * vX_[207] + vX_[1687];
+ vX_[1375] = vX_[2464] * vX_[157] + vX_[1581] * vX_[148];
+ vX_[1827] = vX_[2464] * vX_[148] + vX_[1581] * vX_[128];
+ vX_[570] = vX_[1885] * vX_[148] + vX_[1357] * vX_[157];
+ vX_[684] = vX_[1885] * vX_[128] + vX_[1357] * vX_[148];
+ vX_[1522] = vX_[1450] + vX_[1522] * vX_[198] + vX_[536] * vX_[213] * 2. + vX_[242] * vX_[930] + vX_[245] * vX_[932];
+ vX_[1450] = vX_[2058] - vX_[1522];
+ vX_[1319] = 0 - (vX_[1319] + vX_[2347] * vX_[198] + vX_[1498] * vX_[213] + vX_[242] * vX_[932]);
+ vX_[1465] = 0 - (vX_[1465] + vX_[655] * vX_[198] + vX_[772] * vX_[213] + vX_[242] * vX_[929] + vX_[3559] * vX_[932]);
+ vX_[1522] = 0 - vX_[1522];
+ vX_[1135] = (vX_[1319] * vX_[168] + vX_[1135] * vX_[158] + vX_[1465] * vX_[220] + vX_[1522] * vX_[229]) * 1 / vX_[194];
+ vX_[1319] = 0 - vX_[1875] + vX_[244] * vX_[920] + vX_[2431] * vX_[207] + vX_[1319] * vX_[195] + vX_[1135];
+ vX_[536] = vX_[536] + vX_[245] * vX_[930];
+ vX_[265] = vX_[265] + vX_[3559] * vX_[929];
+ vX_[2431] = 0 - vX_[265];
+ vX_[772] = vX_[772] + vX_[3559] * vX_[930] + vX_[245] * vX_[929];
+ vX_[655] = 0 - vX_[772];
+ vX_[242] = (vX_[2431] * vX_[220] + vX_[655] * vX_[229]) * 1 / vX_[194];
+ vX_[2347] = 0 - vX_[536];
+ vX_[1498] = vX_[2347] * vX_[229] * 1 / vX_[194];
+ vX_[1135] = 0 - vX_[240] * vX_[947] - vX_[244] * vX_[885] - vX_[247] * vX_[936] - vX_[248] * vX_[948] + vX_[248] * vX_[920] - vX_[249] * vX_[923] - vX_[251] * vX_[939] - vX_[1687] * vX_[207] - vX_[1135] * vX_[195] - vX_[1631] * vX_[223] - vX_[242] * vX_[487] - vX_[1498] * vX_[496];
+ vX_[1687] = 0 - vX_[536] + vX_[1135];
+ vX_[1498] = vX_[251] * vX_[920] + vX_[2495] * vX_[207] + vX_[1522] * vX_[195] + vX_[686] * vX_[223] + vX_[655] * vX_[487] + vX_[2347] * vX_[496] + vX_[1498];
+ vX_[242] = vX_[249] * vX_[920] + vX_[1856] * vX_[207] + vX_[1465] * vX_[195] + vX_[1318] * vX_[223] + vX_[2431] * vX_[487] + vX_[242];
+ vX_[2431] = vX_[1687] * vX_[148] + vX_[1498] * vX_[157];
+ vX_[1465] = vX_[1687] * vX_[128] + vX_[1498] * vX_[148];
+ vX_[1856] = vX_[2431] * vX_[128] + vX_[1465] * vX_[148];
+ vX_[1318] = vX_[536] + vX_[2431] * vX_[148];
+ vX_[249] = vX_[536] + vX_[1465] * vX_[128];
+ vX_[1135] = vX_[265] + vX_[536] + vX_[1135] - vX_[1318] - vX_[249];
+ vX_[265] = 0 - vX_[1135];
+ vX_[536] = (vX_[1875] * vX_[148] + vX_[2058] * vX_[157]) * -1;
+ vX_[2347] = vX_[536] + vX_[265] * vX_[159];
+ vX_[655] = 0 - vX_[2347];
+ vX_[536] = 0 - (vX_[1450] * vX_[128] + vX_[1319] * vX_[148]) + vX_[536];
+ vX_[1522] = (vX_[1875] * vX_[128] + vX_[2058] * vX_[148]) * -1;
+ vX_[2495] = vX_[1522] + vX_[1135] * vX_[164];
+ vX_[686] = 0 - vX_[2495];
+ vX_[251] = 0 - (vX_[772] * vX_[128] + vX_[242] * vX_[148]) + vX_[772] * vX_[157] * -1 * 2.;
+ vX_[1631] = 0 - vX_[251];
+ vX_[248] = vX_[772] * vX_[148] + vX_[242] * vX_[157] + vX_[772] * vX_[148] * -1 * 2.;
+ vX_[247] = 0 - vX_[248];
+ vX_[244] = 0 - vX_[249];
+ vX_[1522] = vX_[1450] * vX_[148] + vX_[1319] * vX_[157] + vX_[1522];
+ vX_[240] = 0 - vX_[1856];
+ vX_[2078] = 0 - vX_[249];
+ jac[487] = 0 - (vX_[3520] * vX_[896] + vX_[3545] * vX_[921] + vX_[524] * vX_[924] + vX_[245] * vX_[926] + vX_[597] * vX_[204] + vX_[1909] * vX_[202] + vX_[2061] * vX_[203] + vX_[3451] * vX_[173] + vX_[1875] * vX_[161] + vX_[2464] * vX_[150] + vX_[1885] * vX_[227] + vX_[2058] * vX_[216] + vX_[1581] * vX_[156] + vX_[1357] * vX_[228] + vX_[1375] * vX_[155] + vX_[1827] * vX_[149] + vX_[570] * vX_[154] + vX_[684] * vX_[147] + vX_[1450] * vX_[166] + vX_[1319] * vX_[162] + vX_[1687] * vX_[192] + vX_[1498] * vX_[190] + vX_[772] * vX_[540] + vX_[772] * vX_[217] + vX_[242] * vX_[219] + vX_[2431] * vX_[144] + vX_[1465] * vX_[189] + (vX_[1856] * vX_[165] + vX_[265] * vX_[175] + vX_[1318] * vX_[160] + vX_[655] * vX_[171] + (vX_[536] + vX_[1318] * vX_[159]) * 4.027 + vX_[686] * vX_[173] + vX_[1631] * vX_[155] + vX_[247] * vX_[154] + vX_[1856] * vX_[142] + vX_[1318] * vX_[191]) * -0.08 + vX_[1726] * vX_[815] + vX_[763] * vX_[894] + vX_[2169] * vX_[813] + vX_[1426] * vX_[884] + (vX_[3559] * vX_[896] + vX_[1726] * vX_[882]) * -0.08) * vX_[3638] + (vX_[3520] * vX_[921] + vX_[524] * vX_[926] + vX_[597] * vX_[202] + vX_[2061] * vX_[173] + vX_[3451] * vX_[201] + vX_[1875] * vX_[216] + vX_[1885] * vX_[228] + vX_[1581] * vX_[150] + vX_[1375] * vX_[154] + vX_[1827] * vX_[147] + vX_[1450] * vX_[162] + vX_[1687] * vX_[190] + vX_[772] * vX_[219] + vX_[2431] * vX_[189] + vX_[1465] * vX_[186] + vX_[763] * vX_[815] + vX_[1426] * vX_[813] - (vX_[3545] * vX_[896] + vX_[1726] * vX_[894]) + (vX_[3559] * vX_[921] + (vX_[1135] * vX_[174] + vX_[244] * vX_[165] + vX_[2347] * vX_[173] + vX_[2495] * vX_[172] + (0 - (vX_[1522] + vX_[1856] * vX_[159] + vX_[244] * vX_[164])) * 4.027 + vX_[251] * vX_[149] + vX_[248] * vX_[147] + vX_[240] * vX_[151] + vX_[2078] * vX_[185]) * -1 + vX_[763] * vX_[882]) * -0.08 - (vX_[245] * vX_[924] + vX_[1909] * vX_[204] + vX_[2464] * vX_[156] + vX_[2058] * vX_[161] + vX_[1357] * vX_[227] + vX_[570] * vX_[155] + vX_[684] * vX_[149] + vX_[1319] * vX_[166] + vX_[1498] * vX_[192] + vX_[772] * vX_[218] + vX_[242] * vX_[217] + vX_[2169] * vX_[884])) * vX_[268];
+ vX_[2271] = vX_[1144] + vX_[2271] * vX_[197] + vX_[2406] * vX_[211];
+ vX_[2298] = vX_[1144] + vX_[2123] * vX_[211] + vX_[2298] * vX_[209];
+ vX_[3087] = vX_[1266] + vX_[1274] + vX_[1144] - vX_[2271] - vX_[2298] + vX_[1933] * vX_[198] + vX_[3087] * vX_[127];
+ vX_[2298] = vX_[2298] + vX_[1959] * vX_[127] + vX_[1653] * vX_[213] + vX_[1977] * vX_[933];
+ vX_[1959] = vX_[3087] - vX_[2298];
+ vX_[2281] = vX_[1942] * vX_[197] + vX_[2281] * vX_[211] + vX_[1460] * vX_[213] + vX_[2640] * vX_[198] + vX_[1836] * vX_[127] + vX_[1325] * vX_[933];
+ vX_[1836] = vX_[1959] * vX_[148] + vX_[2281] * vX_[157];
+ vX_[2640] = vX_[1959] * vX_[128] + vX_[2281] * vX_[148];
+ vX_[2198] = vX_[296] + vX_[2198] * vX_[127] + vX_[1600] * vX_[198] * 2. + vX_[1325] * vX_[929];
+ vX_[296] = 0 - vX_[2281];
+ vX_[1852] = 0 - (vX_[2123] * vX_[197] + vX_[2406] * vX_[209] + vX_[393] * vX_[211] + vX_[297] * vX_[127] + vX_[1852] * vX_[198] + vX_[2238] * vX_[213] + vX_[1642] * vX_[933] + vX_[1977] * vX_[932]);
+ vX_[393] = 0 - vX_[2298];
+ vX_[440] = vX_[2491] + vX_[440] * vX_[127] + vX_[1506] * vX_[213] * 2. + vX_[1977] * vX_[929] + vX_[1871] * vX_[933];
+ vX_[1506] = 0 - vX_[440];
+ vX_[1675] = vX_[1998] + vX_[1913] * vX_[127] + vX_[1675] * vX_[213] + vX_[1977] * vX_[930] + vX_[1217] * vX_[933];
+ vX_[1998] = 0 - vX_[1675];
+ vX_[1913] = (vX_[393] * vX_[158] + vX_[1506] * vX_[220] + vX_[1998] * vX_[229]) * 1 / vX_[194];
+ vX_[393] = vX_[579] * vX_[920] + vX_[296] * vX_[207] + vX_[1852] * vX_[195] + vX_[393] * vX_[223] + vX_[1913];
+ vX_[2215] = vX_[1699] + vX_[988] * vX_[198] + vX_[2215] * vX_[127] * 2. + vX_[1325] * vX_[930];
+ vX_[3087] = 0 - vX_[3087];
+ vX_[2452] = 0 - (0 - (vX_[1942] * vX_[211] + vX_[2452] * vX_[209]) + vX_[2050] * vX_[213] + vX_[2943] * vX_[127] + vX_[2416] * vX_[198] + vX_[1325] * vX_[932]);
+ vX_[2416] = 0 - vX_[2198];
+ vX_[1942] = 0 - vX_[2215];
+ vX_[296] = (vX_[3087] * vX_[206] + vX_[2452] * vX_[168] + vX_[296] * vX_[158] + vX_[2416] * vX_[220] + vX_[1942] * vX_[229]) * 1 / vX_[194];
+ vX_[3087] = vX_[1166] * vX_[920] + vX_[3087] * vX_[207] + vX_[296];
+ vX_[2943] = vX_[393] * vX_[157] + vX_[3087] * vX_[148];
+ vX_[2050] = vX_[393] * vX_[148] + vX_[3087] * vX_[128];
+ vX_[1699] = vX_[2215] * vX_[148] + vX_[1675] * vX_[157];
+ vX_[2491] = vX_[2215] * vX_[128] + vX_[1675] * vX_[148];
+ vX_[3077] = vX_[3124] + vX_[3077] * vX_[198] + vX_[1022] * vX_[213] * 2. + vX_[1642] * vX_[930] + vX_[1217] * vX_[932];
+ vX_[3124] = vX_[440] - vX_[3077];
+ vX_[2271] = 0 - (vX_[2271] + vX_[3151] * vX_[198] + vX_[1807] * vX_[213] + vX_[1642] * vX_[932]);
+ vX_[1985] = 0 - (vX_[1985] + vX_[2289] * vX_[198] + vX_[988] * vX_[213] + vX_[1642] * vX_[929] + vX_[1871] * vX_[932]);
+ vX_[3077] = 0 - vX_[3077];
+ vX_[1852] = (vX_[2271] * vX_[168] + vX_[1852] * vX_[158] + vX_[1985] * vX_[220] + vX_[3077] * vX_[229]) * 1 / vX_[194];
+ vX_[2271] = 0 - vX_[2198] + vX_[518] * vX_[920] + vX_[2452] * vX_[207] + vX_[2271] * vX_[195] + vX_[1852];
+ vX_[1022] = vX_[1022] + vX_[1217] * vX_[930];
+ vX_[1600] = vX_[1600] + vX_[1871] * vX_[929];
+ vX_[2452] = 0 - vX_[1600];
+ vX_[988] = vX_[988] + vX_[1871] * vX_[930] + vX_[1217] * vX_[929];
+ vX_[2289] = 0 - vX_[988];
+ vX_[1642] = (vX_[2452] * vX_[220] + vX_[2289] * vX_[229]) * 1 / vX_[194];
+ vX_[3151] = 0 - vX_[1022];
+ vX_[1807] = vX_[3151] * vX_[229] * 1 / vX_[194];
+ vX_[1852] = 0 - vX_[1166] * vX_[947] - vX_[518] * vX_[885] - vX_[579] * vX_[936] - vX_[453] * vX_[948] + vX_[453] * vX_[920] - vX_[422] * vX_[923] - vX_[464] * vX_[939] - vX_[296] * vX_[207] - vX_[1852] * vX_[195] - vX_[1913] * vX_[223] - vX_[1642] * vX_[487] - vX_[1807] * vX_[496];
+ vX_[296] = 0 - vX_[1022] + vX_[1852];
+ vX_[1807] = vX_[464] * vX_[920] + vX_[1942] * vX_[207] + vX_[3077] * vX_[195] + vX_[1998] * vX_[223] + vX_[2289] * vX_[487] + vX_[3151] * vX_[496] + vX_[1807];
+ vX_[1642] = vX_[422] * vX_[920] + vX_[2416] * vX_[207] + vX_[1985] * vX_[195] + vX_[1506] * vX_[223] + vX_[2452] * vX_[487] + vX_[1642];
+ vX_[2452] = vX_[296] * vX_[148] + vX_[1807] * vX_[157];
+ vX_[1985] = vX_[296] * vX_[128] + vX_[1807] * vX_[148];
+ vX_[2416] = vX_[2452] * vX_[128] + vX_[1985] * vX_[148];
+ vX_[1506] = vX_[1022] + vX_[2452] * vX_[148];
+ vX_[422] = vX_[1022] + vX_[1985] * vX_[128];
+ vX_[1852] = vX_[1600] + vX_[1022] + vX_[1852] - vX_[1506] - vX_[422];
+ vX_[1600] = 0 - vX_[1852];
+ vX_[1022] = (vX_[2198] * vX_[148] + vX_[440] * vX_[157]) * -1;
+ vX_[3151] = vX_[1022] + vX_[1600] * vX_[159];
+ vX_[2289] = 0 - vX_[3151];
+ vX_[1022] = 0 - (vX_[3124] * vX_[128] + vX_[2271] * vX_[148]) + vX_[1022];
+ vX_[3077] = (vX_[2198] * vX_[128] + vX_[440] * vX_[148]) * -1;
+ vX_[1942] = vX_[3077] + vX_[1852] * vX_[164];
+ vX_[1998] = 0 - vX_[1942];
+ vX_[464] = 0 - (vX_[988] * vX_[128] + vX_[1642] * vX_[148]) + vX_[988] * vX_[157] * -1 * 2.;
+ vX_[1913] = 0 - vX_[464];
+ vX_[453] = vX_[988] * vX_[148] + vX_[1642] * vX_[157] + vX_[988] * vX_[148] * -1 * 2.;
+ vX_[579] = 0 - vX_[453];
+ vX_[518] = 0 - vX_[422];
+ vX_[3077] = vX_[3124] * vX_[148] + vX_[2271] * vX_[157] + vX_[3077];
+ vX_[1166] = 0 - vX_[2416];
+ vX_[2406] = 0 - vX_[422];
+ jac[488] = 0 - (vX_[1325] * vX_[896] + vX_[1977] * vX_[921] + vX_[1115] * vX_[924] + vX_[1217] * vX_[926] + vX_[1959] * vX_[204] + vX_[2281] * vX_[202] + vX_[1836] * vX_[203] + vX_[2640] * vX_[173] + vX_[2198] * vX_[161] + vX_[393] * vX_[150] + vX_[2215] * vX_[227] + vX_[440] * vX_[216] + vX_[3087] * vX_[156] + vX_[1675] * vX_[228] + vX_[2943] * vX_[155] + vX_[2050] * vX_[149] + vX_[1699] * vX_[154] + vX_[2491] * vX_[147] + vX_[3124] * vX_[166] + vX_[2271] * vX_[162] + vX_[296] * vX_[192] + vX_[1807] * vX_[190] + vX_[988] * vX_[540] + vX_[988] * vX_[217] + vX_[1642] * vX_[219] + vX_[2452] * vX_[144] + vX_[1985] * vX_[189] + (vX_[2416] * vX_[165] + vX_[1600] * vX_[175] + vX_[1506] * vX_[160] + vX_[2289] * vX_[171] + (vX_[1022] + vX_[1506] * vX_[159]) * 4.027 + vX_[1998] * vX_[173] + vX_[1913] * vX_[155] + vX_[579] * vX_[154] + vX_[2416] * vX_[142] + vX_[1506] * vX_[191]) * -0.08 + vX_[2718] * vX_[815] + vX_[2565] * vX_[894] + vX_[399] * vX_[813] + vX_[2596] * vX_[884] + (vX_[1871] * vX_[896] + vX_[2718] * vX_[882]) * -0.08) * vX_[3638] + (vX_[1325] * vX_[921] + vX_[1115] * vX_[926] + vX_[1959] * vX_[202] + vX_[1836] * vX_[173] + vX_[2640] * vX_[201] + vX_[2198] * vX_[216] + vX_[2215] * vX_[228] + vX_[3087] * vX_[150] + vX_[2943] * vX_[154] + vX_[2050] * vX_[147] + vX_[3124] * vX_[162] + vX_[296] * vX_[190] + vX_[988] * vX_[219] + vX_[2452] * vX_[189] + vX_[1985] * vX_[186] + vX_[2565] * vX_[815] + vX_[2596] * vX_[813] - (vX_[1977] * vX_[896] + vX_[2718] * vX_[894]) + (vX_[1871] * vX_[921] + (vX_[1852] * vX_[174] + vX_[518] * vX_[165] + vX_[3151] * vX_[173] + vX_[1942] * vX_[172] + (0 - (vX_[3077] + vX_[2416] * vX_[159] + vX_[518] * vX_[164])) * 4.027 + vX_[464] * vX_[149] + vX_[453] * vX_[147] + vX_[1166] * vX_[151] + vX_[2406] * vX_[185]) * -1 + vX_[2565] * vX_[882]) * -0.08 - (vX_[1217] * vX_[924] + vX_[2281] * vX_[204] + vX_[393] * vX_[156] + vX_[440] * vX_[161] + vX_[1675] * vX_[227] + vX_[1699] * vX_[155] + vX_[2491] * vX_[149] + vX_[2271] * vX_[166] + vX_[1807] * vX_[192] + vX_[988] * vX_[218] + vX_[1642] * vX_[217] + vX_[399] * vX_[884])) * vX_[268];
+ vX_[3267] = vX_[1320] + vX_[3267] * vX_[197] + vX_[2201] * vX_[211];
+ vX_[2116] = vX_[1320] + vX_[2813] * vX_[211] + vX_[2116] * vX_[209];
+ vX_[3407] = vX_[1395] + vX_[1404] + vX_[1320] - vX_[3267] - vX_[2116] + vX_[3229] * vX_[198] + vX_[3407] * vX_[127];
+ vX_[2116] = vX_[2116] + vX_[2490] * vX_[127] + vX_[3301] * vX_[213] + vX_[2450] * vX_[933];
+ vX_[2490] = vX_[3407] - vX_[2116];
+ vX_[1473] = vX_[2909] * vX_[197] + vX_[1473] * vX_[211] + vX_[2451] * vX_[213] + vX_[2200] * vX_[198] + vX_[2493] * vX_[127] + vX_[2903] * vX_[933];
+ vX_[2493] = vX_[2490] * vX_[148] + vX_[1473] * vX_[157];
+ vX_[2200] = vX_[2490] * vX_[128] + vX_[1473] * vX_[148];
+ vX_[3449] = vX_[951] + vX_[3449] * vX_[127] + vX_[2494] * vX_[198] * 2. + vX_[2903] * vX_[929];
+ vX_[951] = 0 - vX_[1473];
+ vX_[2499] = 0 - (vX_[2813] * vX_[197] + vX_[2201] * vX_[209] + vX_[3053] * vX_[211] + vX_[3606] * vX_[127] + vX_[2499] * vX_[198] + vX_[2521] * vX_[213] + vX_[2454] * vX_[933] + vX_[2450] * vX_[932]);
+ vX_[3053] = 0 - vX_[2116];
+ vX_[1113] = vX_[2279] + vX_[1113] * vX_[127] + vX_[2301] * vX_[213] * 2. + vX_[2450] * vX_[929] + vX_[2083] * vX_[933];
+ vX_[2301] = 0 - vX_[1113];
+ vX_[2126] = vX_[2575] + vX_[2914] * vX_[127] + vX_[2126] * vX_[213] + vX_[2450] * vX_[930] + vX_[2185] * vX_[933];
+ vX_[2575] = 0 - vX_[2126];
+ vX_[2914] = (vX_[3053] * vX_[158] + vX_[2301] * vX_[220] + vX_[2575] * vX_[229]) * 1 / vX_[194];
+ vX_[3053] = vX_[2155] * vX_[920] + vX_[951] * vX_[207] + vX_[2499] * vX_[195] + vX_[3053] * vX_[223] + vX_[2914];
+ vX_[1216] = vX_[2352] + vX_[3608] * vX_[198] + vX_[1216] * vX_[127] * 2. + vX_[2903] * vX_[930];
+ vX_[3407] = 0 - vX_[3407];
+ vX_[2681] = 0 - (0 - (vX_[2909] * vX_[211] + vX_[2681] * vX_[209]) + vX_[3195] * vX_[213] + vX_[707] * vX_[127] + vX_[2165] * vX_[198] + vX_[2903] * vX_[932]);
+ vX_[2165] = 0 - vX_[3449];
+ vX_[2909] = 0 - vX_[1216];
+ vX_[951] = (vX_[3407] * vX_[206] + vX_[2681] * vX_[168] + vX_[951] * vX_[158] + vX_[2165] * vX_[220] + vX_[2909] * vX_[229]) * 1 / vX_[194];
+ vX_[3407] = vX_[2397] * vX_[920] + vX_[3407] * vX_[207] + vX_[951];
+ vX_[707] = vX_[3053] * vX_[157] + vX_[3407] * vX_[148];
+ vX_[3195] = vX_[3053] * vX_[148] + vX_[3407] * vX_[128];
+ vX_[2352] = vX_[1216] * vX_[148] + vX_[2126] * vX_[157];
+ vX_[2279] = vX_[1216] * vX_[128] + vX_[2126] * vX_[148];
+ vX_[3353] = vX_[2296] + vX_[3353] * vX_[198] + vX_[1952] * vX_[213] * 2. + vX_[2454] * vX_[930] + vX_[2185] * vX_[932];
+ vX_[2296] = vX_[1113] - vX_[3353];
+ vX_[3267] = 0 - (vX_[3267] + vX_[3406] * vX_[198] + vX_[2567] * vX_[213] + vX_[2454] * vX_[932]);
+ vX_[2306] = 0 - (vX_[2306] + vX_[2254] * vX_[198] + vX_[3608] * vX_[213] + vX_[2454] * vX_[929] + vX_[2083] * vX_[932]);
+ vX_[3353] = 0 - vX_[3353];
+ vX_[2499] = (vX_[3267] * vX_[168] + vX_[2499] * vX_[158] + vX_[2306] * vX_[220] + vX_[3353] * vX_[229]) * 1 / vX_[194];
+ vX_[3267] = 0 - vX_[3449] + vX_[1619] * vX_[920] + vX_[2681] * vX_[207] + vX_[3267] * vX_[195] + vX_[2499];
+ vX_[1952] = vX_[1952] + vX_[2185] * vX_[930];
+ vX_[2494] = vX_[2494] + vX_[2083] * vX_[929];
+ vX_[2681] = 0 - vX_[2494];
+ vX_[3608] = vX_[3608] + vX_[2083] * vX_[930] + vX_[2185] * vX_[929];
+ vX_[2254] = 0 - vX_[3608];
+ vX_[2454] = (vX_[2681] * vX_[220] + vX_[2254] * vX_[229]) * 1 / vX_[194];
+ vX_[3406] = 0 - vX_[1952];
+ vX_[2567] = vX_[3406] * vX_[229] * 1 / vX_[194];
+ vX_[2499] = 0 - vX_[2397] * vX_[947] - vX_[1619] * vX_[885] - vX_[2155] * vX_[936] - vX_[2107] * vX_[948] + vX_[2107] * vX_[920] - vX_[2203] * vX_[923] - vX_[2154] * vX_[939] - vX_[951] * vX_[207] - vX_[2499] * vX_[195] - vX_[2914] * vX_[223] - vX_[2454] * vX_[487] - vX_[2567] * vX_[496];
+ vX_[951] = 0 - vX_[1952] + vX_[2499];
+ vX_[2567] = vX_[2154] * vX_[920] + vX_[2909] * vX_[207] + vX_[3353] * vX_[195] + vX_[2575] * vX_[223] + vX_[2254] * vX_[487] + vX_[3406] * vX_[496] + vX_[2567];
+ vX_[2454] = vX_[2203] * vX_[920] + vX_[2165] * vX_[207] + vX_[2306] * vX_[195] + vX_[2301] * vX_[223] + vX_[2681] * vX_[487] + vX_[2454];
+ vX_[2681] = vX_[951] * vX_[148] + vX_[2567] * vX_[157];
+ vX_[2306] = vX_[951] * vX_[128] + vX_[2567] * vX_[148];
+ vX_[2165] = vX_[2681] * vX_[128] + vX_[2306] * vX_[148];
+ vX_[2301] = vX_[1952] + vX_[2681] * vX_[148];
+ vX_[2203] = vX_[1952] + vX_[2306] * vX_[128];
+ vX_[2499] = vX_[2494] + vX_[1952] + vX_[2499] - vX_[2301] - vX_[2203];
+ vX_[2494] = 0 - vX_[2499];
+ vX_[1952] = (vX_[3449] * vX_[148] + vX_[1113] * vX_[157]) * -1;
+ vX_[3406] = vX_[1952] + vX_[2494] * vX_[159];
+ vX_[2254] = 0 - vX_[3406];
+ vX_[1952] = 0 - (vX_[2296] * vX_[128] + vX_[3267] * vX_[148]) + vX_[1952];
+ vX_[3353] = (vX_[3449] * vX_[128] + vX_[1113] * vX_[148]) * -1;
+ vX_[2909] = vX_[3353] + vX_[2499] * vX_[164];
+ vX_[2575] = 0 - vX_[2909];
+ vX_[2154] = 0 - (vX_[3608] * vX_[128] + vX_[2454] * vX_[148]) + vX_[3608] * vX_[157] * -1 * 2.;
+ vX_[2914] = 0 - vX_[2154];
+ vX_[2107] = vX_[3608] * vX_[148] + vX_[2454] * vX_[157] + vX_[3608] * vX_[148] * -1 * 2.;
+ vX_[2155] = 0 - vX_[2107];
+ vX_[1619] = 0 - vX_[2203];
+ vX_[3353] = vX_[2296] * vX_[148] + vX_[3267] * vX_[157] + vX_[3353];
+ vX_[2397] = 0 - vX_[2165];
+ vX_[2201] = 0 - vX_[2203];
+ jac[489] = 0 - (vX_[2903] * vX_[896] + vX_[2450] * vX_[921] + vX_[2445] * vX_[924] + vX_[2185] * vX_[926] + vX_[2490] * vX_[204] + vX_[1473] * vX_[202] + vX_[2493] * vX_[203] + vX_[2200] * vX_[173] + vX_[3449] * vX_[161] + vX_[3053] * vX_[150] + vX_[1216] * vX_[227] + vX_[1113] * vX_[216] + vX_[3407] * vX_[156] + vX_[2126] * vX_[228] + vX_[707] * vX_[155] + vX_[3195] * vX_[149] + vX_[2352] * vX_[154] + vX_[2279] * vX_[147] + vX_[2296] * vX_[166] + vX_[3267] * vX_[162] + vX_[951] * vX_[192] + vX_[2567] * vX_[190] + vX_[3608] * vX_[540] + vX_[3608] * vX_[217] + vX_[2454] * vX_[219] + vX_[2681] * vX_[144] + vX_[2306] * vX_[189] + (vX_[2165] * vX_[165] + vX_[2494] * vX_[175] + vX_[2301] * vX_[160] + vX_[2254] * vX_[171] + (vX_[1952] + vX_[2301] * vX_[159]) * 4.027 + vX_[2575] * vX_[173] + vX_[2914] * vX_[155] + vX_[2155] * vX_[154] + vX_[2165] * vX_[142] + vX_[2301] * vX_[191]) * -0.08 + vX_[396] * vX_[815] + vX_[2339] * vX_[894] + vX_[409] * vX_[813] + vX_[3127] * vX_[884] + (vX_[2083] * vX_[896] + vX_[396] * vX_[882]) * -0.08) * vX_[3638] + (vX_[2903] * vX_[921] + vX_[2445] * vX_[926] + vX_[2490] * vX_[202] + vX_[2493] * vX_[173] + vX_[2200] * vX_[201] + vX_[3449] * vX_[216] + vX_[1216] * vX_[228] + vX_[3407] * vX_[150] + vX_[707] * vX_[154] + vX_[3195] * vX_[147] + vX_[2296] * vX_[162] + vX_[951] * vX_[190] + vX_[3608] * vX_[219] + vX_[2681] * vX_[189] + vX_[2306] * vX_[186] + vX_[2339] * vX_[815] + vX_[3127] * vX_[813] - (vX_[2450] * vX_[896] + vX_[396] * vX_[894]) + (vX_[2083] * vX_[921] + (vX_[2499] * vX_[174] + vX_[1619] * vX_[165] + vX_[3406] * vX_[173] + vX_[2909] * vX_[172] + (0 - (vX_[3353] + vX_[2165] * vX_[159] + vX_[1619] * vX_[164])) * 4.027 + vX_[2154] * vX_[149] + vX_[2107] * vX_[147] + vX_[2397] * vX_[151] + vX_[2201] * vX_[185]) * -1 + vX_[2339] * vX_[882]) * -0.08 - (vX_[2185] * vX_[924] + vX_[1473] * vX_[204] + vX_[3053] * vX_[156] + vX_[1113] * vX_[161] + vX_[2126] * vX_[227] + vX_[2352] * vX_[155] + vX_[2279] * vX_[149] + vX_[3267] * vX_[166] + vX_[2567] * vX_[192] + vX_[3608] * vX_[218] + vX_[2454] * vX_[217] + vX_[409] * vX_[884])) * vX_[268];
+ vX_[1580] = vX_[1491] + vX_[1580] * vX_[197] + vX_[1770] * vX_[211];
+ vX_[1613] = vX_[1491] + vX_[1497] * vX_[211] + vX_[1613] * vX_[209];
+ vX_[3270] = vX_[1525] + vX_[1535] + vX_[1491] - vX_[1580] - vX_[1613] + vX_[1149] * vX_[198] + vX_[3270] * vX_[127];
+ vX_[1613] = vX_[1613] + vX_[3126] * vX_[127] + vX_[1206] * vX_[213] + vX_[2826] * vX_[933];
+ vX_[3126] = vX_[3270] - vX_[1613];
+ vX_[1409] = vX_[1210] * vX_[197] + vX_[1409] * vX_[211] + vX_[1215] * vX_[213] + vX_[3447] * vX_[198] + vX_[456] * vX_[127] + vX_[3039] * vX_[933];
+ vX_[456] = vX_[3126] * vX_[148] + vX_[1409] * vX_[157];
+ vX_[3447] = vX_[3126] * vX_[128] + vX_[1409] * vX_[148];
+ vX_[1082] = vX_[2366] + vX_[1082] * vX_[127] + vX_[1235] * vX_[198] * 2. + vX_[3039] * vX_[929];
+ vX_[2366] = 0 - vX_[1409];
+ vX_[442] = 0 - (vX_[1497] * vX_[197] + vX_[1770] * vX_[209] + vX_[1559] * vX_[211] + vX_[3274] * vX_[127] + vX_[442] * vX_[198] + vX_[1054] * vX_[213] + vX_[2256] * vX_[933] + vX_[2826] * vX_[932]);
+ vX_[1559] = 0 - vX_[1613];
+ vX_[1099] = vX_[624] + vX_[1099] * vX_[127] + vX_[790] * vX_[213] * 2. + vX_[2826] * vX_[929] + vX_[791] * vX_[933];
+ vX_[790] = 0 - vX_[1099];
+ vX_[1246] = vX_[1111] + vX_[743] * vX_[127] + vX_[1246] * vX_[213] + vX_[2826] * vX_[930] + vX_[2063] * vX_[933];
+ vX_[1111] = 0 - vX_[1246];
+ vX_[743] = (vX_[1559] * vX_[158] + vX_[790] * vX_[220] + vX_[1111] * vX_[229]) * 1 / vX_[194];
+ vX_[1559] = vX_[3088] * vX_[920] + vX_[2366] * vX_[207] + vX_[442] * vX_[195] + vX_[1559] * vX_[223] + vX_[743];
+ vX_[778] = vX_[1126] + vX_[596] * vX_[198] + vX_[778] * vX_[127] * 2. + vX_[3039] * vX_[930];
+ vX_[3270] = 0 - vX_[3270];
+ vX_[1501] = 0 - (0 - (vX_[1210] * vX_[211] + vX_[1501] * vX_[209]) + vX_[1072] * vX_[213] + vX_[3272] * vX_[127] + vX_[1102] * vX_[198] + vX_[3039] * vX_[932]);
+ vX_[1102] = 0 - vX_[1082];
+ vX_[1210] = 0 - vX_[778];
+ vX_[2366] = (vX_[3270] * vX_[206] + vX_[1501] * vX_[168] + vX_[2366] * vX_[158] + vX_[1102] * vX_[220] + vX_[1210] * vX_[229]) * 1 / vX_[194];
+ vX_[3270] = vX_[237] * vX_[920] + vX_[3270] * vX_[207] + vX_[2366];
+ vX_[3272] = vX_[1559] * vX_[157] + vX_[3270] * vX_[148];
+ vX_[1072] = vX_[1559] * vX_[148] + vX_[3270] * vX_[128];
+ vX_[1126] = vX_[778] * vX_[148] + vX_[1246] * vX_[157];
+ vX_[624] = vX_[778] * vX_[128] + vX_[1246] * vX_[148];
+ vX_[455] = vX_[689] + vX_[455] * vX_[198] + vX_[3235] * vX_[213] * 2. + vX_[2256] * vX_[930] + vX_[2063] * vX_[932];
+ vX_[689] = vX_[1099] - vX_[455];
+ vX_[1580] = 0 - (vX_[1580] + vX_[1335] * vX_[198] + vX_[744] * vX_[213] + vX_[2256] * vX_[932]);
+ vX_[1380] = 0 - (vX_[1380] + vX_[1734] * vX_[198] + vX_[596] * vX_[213] + vX_[2256] * vX_[929] + vX_[791] * vX_[932]);
+ vX_[455] = 0 - vX_[455];
+ vX_[442] = (vX_[1580] * vX_[168] + vX_[442] * vX_[158] + vX_[1380] * vX_[220] + vX_[455] * vX_[229]) * 1 / vX_[194];
+ vX_[1580] = 0 - vX_[1082] + vX_[2338] * vX_[920] + vX_[1501] * vX_[207] + vX_[1580] * vX_[195] + vX_[442];
+ vX_[3235] = vX_[3235] + vX_[2063] * vX_[930];
+ vX_[1235] = vX_[1235] + vX_[791] * vX_[929];
+ vX_[1501] = 0 - vX_[1235];
+ vX_[596] = vX_[596] + vX_[791] * vX_[930] + vX_[2063] * vX_[929];
+ vX_[1734] = 0 - vX_[596];
+ vX_[2256] = (vX_[1501] * vX_[220] + vX_[1734] * vX_[229]) * 1 / vX_[194];
+ vX_[1335] = 0 - vX_[3235];
+ vX_[744] = vX_[1335] * vX_[229] * 1 / vX_[194];
+ vX_[442] = 0 - vX_[237] * vX_[947] - vX_[2338] * vX_[885] - vX_[3088] * vX_[936] - vX_[2284] * vX_[948] + vX_[2284] * vX_[920] - vX_[2131] * vX_[923] - vX_[2303] * vX_[939] - vX_[2366] * vX_[207] - vX_[442] * vX_[195] - vX_[743] * vX_[223] - vX_[2256] * vX_[487] - vX_[744] * vX_[496];
+ vX_[2366] = 0 - vX_[3235] + vX_[442];
+ vX_[744] = vX_[2303] * vX_[920] + vX_[1210] * vX_[207] + vX_[455] * vX_[195] + vX_[1111] * vX_[223] + vX_[1734] * vX_[487] + vX_[1335] * vX_[496] + vX_[744];
+ vX_[2256] = vX_[2131] * vX_[920] + vX_[1102] * vX_[207] + vX_[1380] * vX_[195] + vX_[790] * vX_[223] + vX_[1501] * vX_[487] + vX_[2256];
+ vX_[1501] = vX_[2366] * vX_[148] + vX_[744] * vX_[157];
+ vX_[1380] = vX_[2366] * vX_[128] + vX_[744] * vX_[148];
+ vX_[1102] = vX_[1501] * vX_[128] + vX_[1380] * vX_[148];
+ vX_[790] = vX_[3235] + vX_[1501] * vX_[148];
+ vX_[2131] = vX_[3235] + vX_[1380] * vX_[128];
+ vX_[442] = vX_[1235] + vX_[3235] + vX_[442] - vX_[790] - vX_[2131];
+ vX_[1235] = 0 - vX_[442];
+ vX_[3235] = (vX_[1082] * vX_[148] + vX_[1099] * vX_[157]) * -1;
+ vX_[1335] = vX_[3235] + vX_[1235] * vX_[159];
+ vX_[1734] = 0 - vX_[1335];
+ vX_[3235] = 0 - (vX_[689] * vX_[128] + vX_[1580] * vX_[148]) + vX_[3235];
+ vX_[455] = (vX_[1082] * vX_[128] + vX_[1099] * vX_[148]) * -1;
+ vX_[1210] = vX_[455] + vX_[442] * vX_[164];
+ vX_[1111] = 0 - vX_[1210];
+ vX_[2303] = 0 - (vX_[596] * vX_[128] + vX_[2256] * vX_[148]) + vX_[596] * vX_[157] * -1 * 2.;
+ vX_[743] = 0 - vX_[2303];
+ vX_[2284] = vX_[596] * vX_[148] + vX_[2256] * vX_[157] + vX_[596] * vX_[148] * -1 * 2.;
+ vX_[3088] = 0 - vX_[2284];
+ vX_[2338] = 0 - vX_[2131];
+ vX_[455] = vX_[689] * vX_[148] + vX_[1580] * vX_[157] + vX_[455];
+ vX_[237] = 0 - vX_[1102];
+ vX_[1770] = 0 - vX_[2131];
+ jac[490] = 0 - (vX_[3039] * vX_[896] + vX_[2826] * vX_[921] + vX_[2577] * vX_[924] + vX_[2063] * vX_[926] + vX_[3126] * vX_[204] + vX_[1409] * vX_[202] + vX_[456] * vX_[203] + vX_[3447] * vX_[173] + vX_[1082] * vX_[161] + vX_[1559] * vX_[150] + vX_[778] * vX_[227] + vX_[1099] * vX_[216] + vX_[3270] * vX_[156] + vX_[1246] * vX_[228] + vX_[3272] * vX_[155] + vX_[1072] * vX_[149] + vX_[1126] * vX_[154] + vX_[624] * vX_[147] + vX_[689] * vX_[166] + vX_[1580] * vX_[162] + vX_[2366] * vX_[192] + vX_[744] * vX_[190] + vX_[596] * vX_[540] + vX_[596] * vX_[217] + vX_[2256] * vX_[219] + vX_[1501] * vX_[144] + vX_[1380] * vX_[189] + (vX_[1102] * vX_[165] + vX_[1235] * vX_[175] + vX_[790] * vX_[160] + vX_[1734] * vX_[171] + (vX_[3235] + vX_[790] * vX_[159]) * 4.027 + vX_[1111] * vX_[173] + vX_[743] * vX_[155] + vX_[3088] * vX_[154] + vX_[1102] * vX_[142] + vX_[790] * vX_[191]) * -0.08 + vX_[1030] * vX_[815] + vX_[1640] * vX_[894] + vX_[786] * vX_[813] + vX_[2065] * vX_[884] + (vX_[791] * vX_[896] + vX_[1030] * vX_[882]) * -0.08) * vX_[3638] + (vX_[3039] * vX_[921] + vX_[2577] * vX_[926] + vX_[3126] * vX_[202] + vX_[456] * vX_[173] + vX_[3447] * vX_[201] + vX_[1082] * vX_[216] + vX_[778] * vX_[228] + vX_[3270] * vX_[150] + vX_[3272] * vX_[154] + vX_[1072] * vX_[147] + vX_[689] * vX_[162] + vX_[2366] * vX_[190] + vX_[596] * vX_[219] + vX_[1501] * vX_[189] + vX_[1380] * vX_[186] + vX_[1640] * vX_[815] + vX_[2065] * vX_[813] - (vX_[2826] * vX_[896] + vX_[1030] * vX_[894]) + (vX_[791] * vX_[921] + (vX_[442] * vX_[174] + vX_[2338] * vX_[165] + vX_[1335] * vX_[173] + vX_[1210] * vX_[172] + (0 - (vX_[455] + vX_[1102] * vX_[159] + vX_[2338] * vX_[164])) * 4.027 + vX_[2303] * vX_[149] + vX_[2284] * vX_[147] + vX_[237] * vX_[151] + vX_[1770] * vX_[185]) * -1 + vX_[1640] * vX_[882]) * -0.08 - (vX_[2063] * vX_[924] + vX_[1409] * vX_[204] + vX_[1559] * vX_[156] + vX_[1099] * vX_[161] + vX_[1246] * vX_[227] + vX_[1126] * vX_[155] + vX_[624] * vX_[149] + vX_[1580] * vX_[166] + vX_[744] * vX_[192] + vX_[596] * vX_[218] + vX_[2256] * vX_[217] + vX_[786] * vX_[884])) * vX_[268];
+ vX_[1937] = vX_[1622] + vX_[1937] * vX_[197] + vX_[2757] * vX_[211];
+ vX_[1973] = vX_[1622] + vX_[2601] * vX_[211] + vX_[1973] * vX_[209];
+ vX_[2216] = vX_[1656] + vX_[1666] + vX_[1622] - vX_[1937] - vX_[1973] + vX_[1105] * vX_[198] + vX_[2216] * vX_[127];
+ vX_[1973] = vX_[1973] + vX_[1628] * vX_[127] + vX_[2009] * vX_[213] + vX_[1239] * vX_[933];
+ vX_[1628] = vX_[2216] - vX_[1973];
+ vX_[2623] = vX_[2613] * vX_[197] + vX_[2623] * vX_[211] + vX_[2089] * vX_[213] + vX_[2019] * vX_[198] + vX_[2310] * vX_[127] + vX_[1129] * vX_[933];
+ vX_[2310] = vX_[1628] * vX_[148] + vX_[2623] * vX_[157];
+ vX_[2019] = vX_[1628] * vX_[128] + vX_[2623] * vX_[148];
+ vX_[1611] = vX_[2272] + vX_[1611] * vX_[127] + vX_[2461] * vX_[198] * 2. + vX_[1129] * vX_[929];
+ vX_[2272] = 0 - vX_[2623];
+ vX_[1735] = 0 - (vX_[2601] * vX_[197] + vX_[2757] * vX_[209] + vX_[1936] * vX_[211] + vX_[2433] * vX_[127] + vX_[1735] * vX_[198] + vX_[1449] * vX_[213] + vX_[493] * vX_[933] + vX_[1239] * vX_[932]);
+ vX_[1936] = 0 - vX_[1973];
+ vX_[2498] = vX_[1329] + vX_[2498] * vX_[127] + vX_[2370] * vX_[213] * 2. + vX_[1239] * vX_[929] + vX_[1684] * vX_[933];
+ vX_[2370] = 0 - vX_[2498];
+ vX_[1605] = vX_[1930] + vX_[2062] * vX_[127] + vX_[1605] * vX_[213] + vX_[1239] * vX_[930] + vX_[3206] * vX_[933];
+ vX_[1930] = 0 - vX_[1605];
+ vX_[2062] = (vX_[1936] * vX_[158] + vX_[2370] * vX_[220] + vX_[1930] * vX_[229]) * 1 / vX_[194];
+ vX_[1936] = vX_[1323] * vX_[920] + vX_[2272] * vX_[207] + vX_[1735] * vX_[195] + vX_[1936] * vX_[223] + vX_[2062];
+ vX_[2761] = vX_[1249] + vX_[3562] * vX_[198] + vX_[2761] * vX_[127] * 2. + vX_[1129] * vX_[930];
+ vX_[2216] = 0 - vX_[2216];
+ vX_[1716] = 0 - (0 - (vX_[2613] * vX_[211] + vX_[1716] * vX_[209]) + vX_[769] * vX_[213] + vX_[2180] * vX_[127] + vX_[2274] * vX_[198] + vX_[1129] * vX_[932]);
+ vX_[2274] = 0 - vX_[1611];
+ vX_[2613] = 0 - vX_[2761];
+ vX_[2272] = (vX_[2216] * vX_[206] + vX_[1716] * vX_[168] + vX_[2272] * vX_[158] + vX_[2274] * vX_[220] + vX_[2613] * vX_[229]) * 1 / vX_[194];
+ vX_[2216] = vX_[3458] * vX_[920] + vX_[2216] * vX_[207] + vX_[2272];
+ vX_[2180] = vX_[1936] * vX_[157] + vX_[2216] * vX_[148];
+ vX_[769] = vX_[1936] * vX_[148] + vX_[2216] * vX_[128];
+ vX_[1249] = vX_[2761] * vX_[148] + vX_[1605] * vX_[157];
+ vX_[1329] = vX_[2761] * vX_[128] + vX_[1605] * vX_[148];
+ vX_[2054] = vX_[1881] + vX_[2054] * vX_[198] + vX_[1452] * vX_[213] * 2. + vX_[493] * vX_[930] + vX_[3206] * vX_[932];
+ vX_[1881] = vX_[2498] - vX_[2054];
+ vX_[1937] = 0 - (vX_[1937] + vX_[1634] * vX_[198] + vX_[2468] * vX_[213] + vX_[493] * vX_[932]);
+ vX_[2821] = 0 - (vX_[2821] + vX_[1736] * vX_[198] + vX_[3562] * vX_[213] + vX_[493] * vX_[929] + vX_[1684] * vX_[932]);
+ vX_[2054] = 0 - vX_[2054];
+ vX_[1735] = (vX_[1937] * vX_[168] + vX_[1735] * vX_[158] + vX_[2821] * vX_[220] + vX_[2054] * vX_[229]) * 1 / vX_[194];
+ vX_[1937] = 0 - vX_[1611] + vX_[3408] * vX_[920] + vX_[1716] * vX_[207] + vX_[1937] * vX_[195] + vX_[1735];
+ vX_[1452] = vX_[1452] + vX_[3206] * vX_[930];
+ vX_[2461] = vX_[2461] + vX_[1684] * vX_[929];
+ vX_[1716] = 0 - vX_[2461];
+ vX_[3562] = vX_[3562] + vX_[1684] * vX_[930] + vX_[3206] * vX_[929];
+ vX_[1736] = 0 - vX_[3562];
+ vX_[493] = (vX_[1716] * vX_[220] + vX_[1736] * vX_[229]) * 1 / vX_[194];
+ vX_[1634] = 0 - vX_[1452];
+ vX_[2468] = vX_[1634] * vX_[229] * 1 / vX_[194];
+ vX_[1735] = 0 - vX_[3458] * vX_[947] - vX_[3408] * vX_[885] - vX_[1323] * vX_[936] - vX_[1461] * vX_[948] + vX_[1461] * vX_[920] - vX_[784] * vX_[923] - vX_[1278] * vX_[939] - vX_[2272] * vX_[207] - vX_[1735] * vX_[195] - vX_[2062] * vX_[223] - vX_[493] * vX_[487] - vX_[2468] * vX_[496];
+ vX_[2272] = 0 - vX_[1452] + vX_[1735];
+ vX_[2468] = vX_[1278] * vX_[920] + vX_[2613] * vX_[207] + vX_[2054] * vX_[195] + vX_[1930] * vX_[223] + vX_[1736] * vX_[487] + vX_[1634] * vX_[496] + vX_[2468];
+ vX_[493] = vX_[784] * vX_[920] + vX_[2274] * vX_[207] + vX_[2821] * vX_[195] + vX_[2370] * vX_[223] + vX_[1716] * vX_[487] + vX_[493];
+ vX_[1716] = vX_[2272] * vX_[148] + vX_[2468] * vX_[157];
+ vX_[2821] = vX_[2272] * vX_[128] + vX_[2468] * vX_[148];
+ vX_[2274] = vX_[1716] * vX_[128] + vX_[2821] * vX_[148];
+ vX_[2370] = vX_[1452] + vX_[1716] * vX_[148];
+ vX_[784] = vX_[1452] + vX_[2821] * vX_[128];
+ vX_[1735] = vX_[2461] + vX_[1452] + vX_[1735] - vX_[2370] - vX_[784];
+ vX_[2461] = 0 - vX_[1735];
+ vX_[1452] = (vX_[1611] * vX_[148] + vX_[2498] * vX_[157]) * -1;
+ vX_[1634] = vX_[1452] + vX_[2461] * vX_[159];
+ vX_[1736] = 0 - vX_[1634];
+ vX_[1452] = 0 - (vX_[1881] * vX_[128] + vX_[1937] * vX_[148]) + vX_[1452];
+ vX_[2054] = (vX_[1611] * vX_[128] + vX_[2498] * vX_[148]) * -1;
+ vX_[2613] = vX_[2054] + vX_[1735] * vX_[164];
+ vX_[1930] = 0 - vX_[2613];
+ vX_[1278] = 0 - (vX_[3562] * vX_[128] + vX_[493] * vX_[148]) + vX_[3562] * vX_[157] * -1 * 2.;
+ vX_[2062] = 0 - vX_[1278];
+ vX_[1461] = vX_[3562] * vX_[148] + vX_[493] * vX_[157] + vX_[3562] * vX_[148] * -1 * 2.;
+ vX_[1323] = 0 - vX_[1461];
+ vX_[3408] = 0 - vX_[784];
+ vX_[2054] = vX_[1881] * vX_[148] + vX_[1937] * vX_[157] + vX_[2054];
+ vX_[3458] = 0 - vX_[2274];
+ vX_[2757] = 0 - vX_[784];
+ jac[491] = 0 - (vX_[1129] * vX_[896] + vX_[1239] * vX_[921] + vX_[3323] * vX_[924] + vX_[3206] * vX_[926] + vX_[1628] * vX_[204] + vX_[2623] * vX_[202] + vX_[2310] * vX_[203] + vX_[2019] * vX_[173] + vX_[1611] * vX_[161] + vX_[1936] * vX_[150] + vX_[2761] * vX_[227] + vX_[2498] * vX_[216] + vX_[2216] * vX_[156] + vX_[1605] * vX_[228] + vX_[2180] * vX_[155] + vX_[769] * vX_[149] + vX_[1249] * vX_[154] + vX_[1329] * vX_[147] + vX_[1881] * vX_[166] + vX_[1937] * vX_[162] + vX_[2272] * vX_[192] + vX_[2468] * vX_[190] + vX_[3562] * vX_[540] + vX_[3562] * vX_[217] + vX_[493] * vX_[219] + vX_[1716] * vX_[144] + vX_[2821] * vX_[189] + (vX_[2274] * vX_[165] + vX_[2461] * vX_[175] + vX_[2370] * vX_[160] + vX_[1736] * vX_[171] + (vX_[1452] + vX_[2370] * vX_[159]) * 4.027 + vX_[1930] * vX_[173] + vX_[2062] * vX_[155] + vX_[1323] * vX_[154] + vX_[2274] * vX_[142] + vX_[2370] * vX_[191]) * -0.08 + vX_[1858] * vX_[815] + vX_[1765] * vX_[894] + vX_[2010] * vX_[813] + vX_[2023] * vX_[884] + (vX_[1684] * vX_[896] + vX_[1858] * vX_[882]) * -0.08) * vX_[3638] + (vX_[1129] * vX_[921] + vX_[3323] * vX_[926] + vX_[1628] * vX_[202] + vX_[2310] * vX_[173] + vX_[2019] * vX_[201] + vX_[1611] * vX_[216] + vX_[2761] * vX_[228] + vX_[2216] * vX_[150] + vX_[2180] * vX_[154] + vX_[769] * vX_[147] + vX_[1881] * vX_[162] + vX_[2272] * vX_[190] + vX_[3562] * vX_[219] + vX_[1716] * vX_[189] + vX_[2821] * vX_[186] + vX_[1765] * vX_[815] + vX_[2023] * vX_[813] - (vX_[1239] * vX_[896] + vX_[1858] * vX_[894]) + (vX_[1684] * vX_[921] + (vX_[1735] * vX_[174] + vX_[3408] * vX_[165] + vX_[1634] * vX_[173] + vX_[2613] * vX_[172] + (0 - (vX_[2054] + vX_[2274] * vX_[159] + vX_[3408] * vX_[164])) * 4.027 + vX_[1278] * vX_[149] + vX_[1461] * vX_[147] + vX_[3458] * vX_[151] + vX_[2757] * vX_[185]) * -1 + vX_[1765] * vX_[882]) * -0.08 - (vX_[3206] * vX_[924] + vX_[2623] * vX_[204] + vX_[1936] * vX_[156] + vX_[2498] * vX_[161] + vX_[1605] * vX_[227] + vX_[1249] * vX_[155] + vX_[1329] * vX_[149] + vX_[1937] * vX_[166] + vX_[2468] * vX_[192] + vX_[3562] * vX_[218] + vX_[493] * vX_[217] + vX_[2010] * vX_[884])) * vX_[268];
+ vX_[2673] = vX_[1591] + vX_[2673] * vX_[197] + vX_[736] * vX_[211];
+ vX_[3099] = vX_[1591] + vX_[2538] * vX_[211] + vX_[3099] * vX_[209];
+ vX_[2671] = vX_[1811] + vX_[1818] + vX_[1591] - vX_[2673] - vX_[3099] + vX_[2013] * vX_[198] + vX_[2671] * vX_[127];
+ vX_[3099] = vX_[3099] + vX_[2472] * vX_[127] + vX_[2319] * vX_[213] + vX_[2305] * vX_[933];
+ vX_[2472] = vX_[2671] - vX_[3099];
+ vX_[2378] = vX_[2536] * vX_[197] + vX_[2378] * vX_[211] + vX_[2462] * vX_[213] + vX_[3198] * vX_[198] + vX_[2295] * vX_[127] + vX_[2340] * vX_[933];
+ vX_[2295] = vX_[2472] * vX_[148] + vX_[2378] * vX_[157];
+ vX_[3198] = vX_[2472] * vX_[128] + vX_[2378] * vX_[148];
+ vX_[2891] = vX_[2962] + vX_[2891] * vX_[127] + vX_[2516] * vX_[198] * 2. + vX_[2340] * vX_[929];
+ vX_[2962] = 0 - vX_[2378];
+ vX_[1786] = 0 - (vX_[2538] * vX_[197] + vX_[736] * vX_[209] + vX_[2794] * vX_[211] + vX_[1418] * vX_[127] + vX_[1786] * vX_[198] + vX_[2093] * vX_[213] + vX_[1771] * vX_[933] + vX_[2305] * vX_[932]);
+ vX_[2794] = 0 - vX_[3099];
+ vX_[699] = vX_[2489] + vX_[699] * vX_[127] + vX_[2344] * vX_[213] * 2. + vX_[2305] * vX_[929] + vX_[3228] * vX_[933];
+ vX_[2344] = 0 - vX_[699];
+ vX_[2346] = vX_[2176] + vX_[461] * vX_[127] + vX_[2346] * vX_[213] + vX_[2305] * vX_[930] + vX_[1608] * vX_[933];
+ vX_[2176] = 0 - vX_[2346];
+ vX_[461] = (vX_[2794] * vX_[158] + vX_[2344] * vX_[220] + vX_[2176] * vX_[229]) * 1 / vX_[194];
+ vX_[2794] = vX_[662] * vX_[920] + vX_[2962] * vX_[207] + vX_[1786] * vX_[195] + vX_[2794] * vX_[223] + vX_[461];
+ vX_[2523] = vX_[2615] + vX_[1042] * vX_[198] + vX_[2523] * vX_[127] * 2. + vX_[2340] * vX_[930];
+ vX_[2671] = 0 - vX_[2671];
+ vX_[2942] = 0 - (0 - (vX_[2536] * vX_[211] + vX_[2942] * vX_[209]) + vX_[2386] * vX_[213] + vX_[2376] * vX_[127] + vX_[2653] * vX_[198] + vX_[2340] * vX_[932]);
+ vX_[2653] = 0 - vX_[2891];
+ vX_[2536] = 0 - vX_[2523];
+ vX_[2962] = (vX_[2671] * vX_[206] + vX_[2942] * vX_[168] + vX_[2962] * vX_[158] + vX_[2653] * vX_[220] + vX_[2536] * vX_[229]) * 1 / vX_[194];
+ vX_[2671] = vX_[1378] * vX_[920] + vX_[2671] * vX_[207] + vX_[2962];
+ vX_[2376] = vX_[2794] * vX_[157] + vX_[2671] * vX_[148];
+ vX_[2386] = vX_[2794] * vX_[148] + vX_[2671] * vX_[128];
+ vX_[2615] = vX_[2523] * vX_[148] + vX_[2346] * vX_[157];
+ vX_[2489] = vX_[2523] * vX_[128] + vX_[2346] * vX_[148];
+ vX_[2081] = vX_[2259] + vX_[2081] * vX_[198] + vX_[2767] * vX_[213] * 2. + vX_[1771] * vX_[930] + vX_[1608] * vX_[932];
+ vX_[2259] = vX_[699] - vX_[2081];
+ vX_[2673] = 0 - (vX_[2673] + vX_[3065] * vX_[198] + vX_[2095] * vX_[213] + vX_[1771] * vX_[932]);
+ vX_[2901] = 0 - (vX_[2901] + vX_[2811] * vX_[198] + vX_[1042] * vX_[213] + vX_[1771] * vX_[929] + vX_[3228] * vX_[932]);
+ vX_[2081] = 0 - vX_[2081];
+ vX_[1786] = (vX_[2673] * vX_[168] + vX_[1786] * vX_[158] + vX_[2901] * vX_[220] + vX_[2081] * vX_[229]) * 1 / vX_[194];
+ vX_[2673] = 0 - vX_[2891] + vX_[1912] * vX_[920] + vX_[2942] * vX_[207] + vX_[2673] * vX_[195] + vX_[1786];
+ vX_[2767] = vX_[2767] + vX_[1608] * vX_[930];
+ vX_[2516] = vX_[2516] + vX_[3228] * vX_[929];
+ vX_[2942] = 0 - vX_[2516];
+ vX_[1042] = vX_[1042] + vX_[3228] * vX_[930] + vX_[1608] * vX_[929];
+ vX_[2811] = 0 - vX_[1042];
+ vX_[1771] = (vX_[2942] * vX_[220] + vX_[2811] * vX_[229]) * 1 / vX_[194];
+ vX_[3065] = 0 - vX_[2767];
+ vX_[2095] = vX_[3065] * vX_[229] * 1 / vX_[194];
+ vX_[1786] = 0 - vX_[1378] * vX_[947] - vX_[1912] * vX_[885] - vX_[662] * vX_[936] - vX_[792] * vX_[948] + vX_[792] * vX_[920] - vX_[1321] * vX_[923] - vX_[1220] * vX_[939] - vX_[2962] * vX_[207] - vX_[1786] * vX_[195] - vX_[461] * vX_[223] - vX_[1771] * vX_[487] - vX_[2095] * vX_[496];
+ vX_[2962] = 0 - vX_[2767] + vX_[1786];
+ vX_[2095] = vX_[1220] * vX_[920] + vX_[2536] * vX_[207] + vX_[2081] * vX_[195] + vX_[2176] * vX_[223] + vX_[2811] * vX_[487] + vX_[3065] * vX_[496] + vX_[2095];
+ vX_[1771] = vX_[1321] * vX_[920] + vX_[2653] * vX_[207] + vX_[2901] * vX_[195] + vX_[2344] * vX_[223] + vX_[2942] * vX_[487] + vX_[1771];
+ vX_[2942] = vX_[2962] * vX_[148] + vX_[2095] * vX_[157];
+ vX_[2901] = vX_[2962] * vX_[128] + vX_[2095] * vX_[148];
+ vX_[2653] = vX_[2942] * vX_[128] + vX_[2901] * vX_[148];
+ vX_[2344] = vX_[2767] + vX_[2942] * vX_[148];
+ vX_[1321] = vX_[2767] + vX_[2901] * vX_[128];
+ vX_[1786] = vX_[2516] + vX_[2767] + vX_[1786] - vX_[2344] - vX_[1321];
+ vX_[2516] = 0 - vX_[1786];
+ vX_[2767] = (vX_[2891] * vX_[148] + vX_[699] * vX_[157]) * -1;
+ vX_[3065] = vX_[2767] + vX_[2516] * vX_[159];
+ vX_[2811] = 0 - vX_[3065];
+ vX_[2767] = 0 - (vX_[2259] * vX_[128] + vX_[2673] * vX_[148]) + vX_[2767];
+ vX_[2081] = (vX_[2891] * vX_[128] + vX_[699] * vX_[148]) * -1;
+ vX_[2536] = vX_[2081] + vX_[1786] * vX_[164];
+ vX_[2176] = 0 - vX_[2536];
+ vX_[1220] = 0 - (vX_[1042] * vX_[128] + vX_[1771] * vX_[148]) + vX_[1042] * vX_[157] * -1 * 2.;
+ vX_[461] = 0 - vX_[1220];
+ vX_[792] = vX_[1042] * vX_[148] + vX_[1771] * vX_[157] + vX_[1042] * vX_[148] * -1 * 2.;
+ vX_[662] = 0 - vX_[792];
+ vX_[1912] = 0 - vX_[1321];
+ vX_[2081] = vX_[2259] * vX_[148] + vX_[2673] * vX_[157] + vX_[2081];
+ vX_[1378] = 0 - vX_[2653];
+ vX_[736] = 0 - vX_[1321];
+ jac[492] = 0 - (vX_[2340] * vX_[896] + vX_[2305] * vX_[921] + vX_[2060] * vX_[924] + vX_[1608] * vX_[926] + vX_[2472] * vX_[204] + vX_[2378] * vX_[202] + vX_[2295] * vX_[203] + vX_[3198] * vX_[173] + vX_[2891] * vX_[161] + vX_[2794] * vX_[150] + vX_[2523] * vX_[227] + vX_[699] * vX_[216] + vX_[2671] * vX_[156] + vX_[2346] * vX_[228] + vX_[2376] * vX_[155] + vX_[2386] * vX_[149] + vX_[2615] * vX_[154] + vX_[2489] * vX_[147] + vX_[2259] * vX_[166] + vX_[2673] * vX_[162] + vX_[2962] * vX_[192] + vX_[2095] * vX_[190] + vX_[1042] * vX_[540] + vX_[1042] * vX_[217] + vX_[1771] * vX_[219] + vX_[2942] * vX_[144] + vX_[2901] * vX_[189] + (vX_[2653] * vX_[165] + vX_[2516] * vX_[175] + vX_[2344] * vX_[160] + vX_[2811] * vX_[171] + (vX_[2767] + vX_[2344] * vX_[159]) * 4.027 + vX_[2176] * vX_[173] + vX_[461] * vX_[155] + vX_[662] * vX_[154] + vX_[2653] * vX_[142] + vX_[2344] * vX_[191]) * -0.08 + vX_[3111] * vX_[815] + vX_[359] * vX_[894] + vX_[407] * vX_[813] + vX_[3349] * vX_[884] + (vX_[3228] * vX_[896] + vX_[3111] * vX_[882]) * -0.08) * vX_[3638] + (vX_[2340] * vX_[921] + vX_[2060] * vX_[926] + vX_[2472] * vX_[202] + vX_[2295] * vX_[173] + vX_[3198] * vX_[201] + vX_[2891] * vX_[216] + vX_[2523] * vX_[228] + vX_[2671] * vX_[150] + vX_[2376] * vX_[154] + vX_[2386] * vX_[147] + vX_[2259] * vX_[162] + vX_[2962] * vX_[190] + vX_[1042] * vX_[219] + vX_[2942] * vX_[189] + vX_[2901] * vX_[186] + vX_[359] * vX_[815] + vX_[3349] * vX_[813] - (vX_[2305] * vX_[896] + vX_[3111] * vX_[894]) + (vX_[3228] * vX_[921] + (vX_[1786] * vX_[174] + vX_[1912] * vX_[165] + vX_[3065] * vX_[173] + vX_[2536] * vX_[172] + (0 - (vX_[2081] + vX_[2653] * vX_[159] + vX_[1912] * vX_[164])) * 4.027 + vX_[1220] * vX_[149] + vX_[792] * vX_[147] + vX_[1378] * vX_[151] + vX_[736] * vX_[185]) * -1 + vX_[359] * vX_[882]) * -0.08 - (vX_[1608] * vX_[924] + vX_[2378] * vX_[204] + vX_[2794] * vX_[156] + vX_[699] * vX_[161] + vX_[2346] * vX_[227] + vX_[2615] * vX_[155] + vX_[2489] * vX_[149] + vX_[2673] * vX_[166] + vX_[2095] * vX_[192] + vX_[1042] * vX_[218] + vX_[1771] * vX_[217] + vX_[407] * vX_[884])) * vX_[268];
+ vX_[3598] = vX_[1886] + vX_[3598] * vX_[197] + vX_[1009] * vX_[211];
+ vX_[3564] = vX_[1886] + vX_[1008] * vX_[211] + vX_[3564] * vX_[209];
+ vX_[419] = vX_[1962] + vX_[1969] + vX_[1886] - vX_[3598] - vX_[3564] + vX_[2527] * vX_[198] + vX_[419] * vX_[127];
+ vX_[3564] = vX_[3564] + vX_[3414] * vX_[127] + vX_[3162] * vX_[213] + vX_[2380] * vX_[933];
+ vX_[3414] = vX_[419] - vX_[3564];
+ vX_[3645] = vX_[3626] * vX_[197] + vX_[3645] * vX_[211] + vX_[3417] * vX_[213] + vX_[362] * vX_[198] + vX_[368] * vX_[127] + vX_[2625] * vX_[933];
+ vX_[368] = vX_[3414] * vX_[148] + vX_[3645] * vX_[157];
+ vX_[362] = vX_[3414] * vX_[128] + vX_[3645] * vX_[148];
+ vX_[3416] = vX_[1738] + vX_[3416] * vX_[127] + vX_[3354] * vX_[198] * 2. + vX_[2625] * vX_[929];
+ vX_[1738] = 0 - vX_[3645];
+ vX_[3114] = 0 - (vX_[1008] * vX_[197] + vX_[1009] * vX_[209] + vX_[3640] * vX_[211] + vX_[1195] * vX_[127] + vX_[3114] * vX_[198] + vX_[3495] * vX_[213] + vX_[1910] * vX_[933] + vX_[2380] * vX_[932]);
+ vX_[3640] = 0 - vX_[3564];
+ vX_[3388] = vX_[2680] + vX_[3388] * vX_[127] + vX_[996] * vX_[213] * 2. + vX_[2380] * vX_[929] + vX_[3060] * vX_[933];
+ vX_[996] = 0 - vX_[3388];
+ vX_[3253] = vX_[3264] + vX_[742] * vX_[127] + vX_[3253] * vX_[213] + vX_[2380] * vX_[930] + vX_[2530] * vX_[933];
+ vX_[3264] = 0 - vX_[3253];
+ vX_[742] = (vX_[3640] * vX_[158] + vX_[996] * vX_[220] + vX_[3264] * vX_[229]) * 1 / vX_[194];
+ vX_[3640] = vX_[124] * vX_[920] + vX_[1738] * vX_[207] + vX_[3114] * vX_[195] + vX_[3640] * vX_[223] + vX_[742];
+ vX_[552] = vX_[365] + vX_[2645] * vX_[198] + vX_[552] * vX_[127] * 2. + vX_[2625] * vX_[930];
+ vX_[419] = 0 - vX_[419];
+ vX_[3644] = 0 - (0 - (vX_[3626] * vX_[211] + vX_[3644] * vX_[209]) + vX_[3086] * vX_[213] + vX_[373] * vX_[127] + vX_[748] * vX_[198] + vX_[2625] * vX_[932]);
+ vX_[748] = 0 - vX_[3416];
+ vX_[3626] = 0 - vX_[552];
+ vX_[1738] = (vX_[419] * vX_[206] + vX_[3644] * vX_[168] + vX_[1738] * vX_[158] + vX_[748] * vX_[220] + vX_[3626] * vX_[229]) * 1 / vX_[194];
+ vX_[419] = vX_[3239] * vX_[920] + vX_[419] * vX_[207] + vX_[1738];
+ vX_[373] = vX_[3640] * vX_[157] + vX_[419] * vX_[148];
+ vX_[3086] = vX_[3640] * vX_[148] + vX_[419] * vX_[128];
+ vX_[365] = vX_[552] * vX_[148] + vX_[3253] * vX_[157];
+ vX_[2680] = vX_[552] * vX_[128] + vX_[3253] * vX_[148];
+ vX_[716] = vX_[416] + vX_[716] * vX_[198] + vX_[2755] * vX_[213] * 2. + vX_[1910] * vX_[930] + vX_[2530] * vX_[932];
+ vX_[416] = vX_[3388] - vX_[716];
+ vX_[3598] = 0 - (vX_[3598] + vX_[3337] * vX_[198] + vX_[3277] * vX_[213] + vX_[1910] * vX_[932]);
+ vX_[355] = 0 - (vX_[355] + vX_[2969] * vX_[198] + vX_[2645] * vX_[213] + vX_[1910] * vX_[929] + vX_[3060] * vX_[932]);
+ vX_[716] = 0 - vX_[716];
+ vX_[3114] = (vX_[3598] * vX_[168] + vX_[3114] * vX_[158] + vX_[355] * vX_[220] + vX_[716] * vX_[229]) * 1 / vX_[194];
+ vX_[3598] = 0 - vX_[3416] + vX_[2524] * vX_[920] + vX_[3644] * vX_[207] + vX_[3598] * vX_[195] + vX_[3114];
+ vX_[2755] = vX_[2755] + vX_[2530] * vX_[930];
+ vX_[3354] = vX_[3354] + vX_[3060] * vX_[929];
+ vX_[3644] = 0 - vX_[3354];
+ vX_[2645] = vX_[2645] + vX_[3060] * vX_[930] + vX_[2530] * vX_[929];
+ vX_[2969] = 0 - vX_[2645];
+ vX_[1910] = (vX_[3644] * vX_[220] + vX_[2969] * vX_[229]) * 1 / vX_[194];
+ vX_[3337] = 0 - vX_[2755];
+ vX_[3277] = vX_[3337] * vX_[229] * 1 / vX_[194];
+ vX_[3114] = 0 - vX_[3239] * vX_[947] - vX_[2524] * vX_[885] - vX_[124] * vX_[936] - vX_[3063] * vX_[948] + vX_[3063] * vX_[920] - vX_[2159] * vX_[923] - vX_[2466] * vX_[939] - vX_[1738] * vX_[207] - vX_[3114] * vX_[195] - vX_[742] * vX_[223] - vX_[1910] * vX_[487] - vX_[3277] * vX_[496];
+ vX_[1738] = 0 - vX_[2755] + vX_[3114];
+ vX_[3277] = vX_[2466] * vX_[920] + vX_[3626] * vX_[207] + vX_[716] * vX_[195] + vX_[3264] * vX_[223] + vX_[2969] * vX_[487] + vX_[3337] * vX_[496] + vX_[3277];
+ vX_[1910] = vX_[2159] * vX_[920] + vX_[748] * vX_[207] + vX_[355] * vX_[195] + vX_[996] * vX_[223] + vX_[3644] * vX_[487] + vX_[1910];
+ vX_[3644] = vX_[1738] * vX_[148] + vX_[3277] * vX_[157];
+ vX_[355] = vX_[1738] * vX_[128] + vX_[3277] * vX_[148];
+ vX_[748] = vX_[3644] * vX_[128] + vX_[355] * vX_[148];
+ vX_[996] = vX_[2755] + vX_[3644] * vX_[148];
+ vX_[2159] = vX_[2755] + vX_[355] * vX_[128];
+ vX_[3114] = vX_[3354] + vX_[2755] + vX_[3114] - vX_[996] - vX_[2159];
+ vX_[3354] = 0 - vX_[3114];
+ vX_[2755] = (vX_[3416] * vX_[148] + vX_[3388] * vX_[157]) * -1;
+ vX_[3337] = vX_[2755] + vX_[3354] * vX_[159];
+ vX_[2969] = 0 - vX_[3337];
+ vX_[2755] = 0 - (vX_[416] * vX_[128] + vX_[3598] * vX_[148]) + vX_[2755];
+ vX_[716] = (vX_[3416] * vX_[128] + vX_[3388] * vX_[148]) * -1;
+ vX_[3626] = vX_[716] + vX_[3114] * vX_[164];
+ vX_[3264] = 0 - vX_[3626];
+ vX_[2466] = 0 - (vX_[2645] * vX_[128] + vX_[1910] * vX_[148]) + vX_[2645] * vX_[157] * -1 * 2.;
+ vX_[742] = 0 - vX_[2466];
+ vX_[3063] = vX_[2645] * vX_[148] + vX_[1910] * vX_[157] + vX_[2645] * vX_[148] * -1 * 2.;
+ vX_[124] = 0 - vX_[3063];
+ vX_[2524] = 0 - vX_[2159];
+ vX_[716] = vX_[416] * vX_[148] + vX_[3598] * vX_[157] + vX_[716];
+ vX_[3239] = 0 - vX_[748];
+ vX_[1009] = 0 - vX_[2159];
+ jac[493] = 0 - (vX_[2625] * vX_[896] + vX_[2380] * vX_[921] + vX_[2309] * vX_[924] + vX_[2530] * vX_[926] + vX_[3414] * vX_[204] + vX_[3645] * vX_[202] + vX_[368] * vX_[203] + vX_[362] * vX_[173] + vX_[3416] * vX_[161] + vX_[3640] * vX_[150] + vX_[552] * vX_[227] + vX_[3388] * vX_[216] + vX_[419] * vX_[156] + vX_[3253] * vX_[228] + vX_[373] * vX_[155] + vX_[3086] * vX_[149] + vX_[365] * vX_[154] + vX_[2680] * vX_[147] + vX_[416] * vX_[166] + vX_[3598] * vX_[162] + vX_[1738] * vX_[192] + vX_[3277] * vX_[190] + vX_[2645] * vX_[540] + vX_[2645] * vX_[217] + vX_[1910] * vX_[219] + vX_[3644] * vX_[144] + vX_[355] * vX_[189] + (vX_[748] * vX_[165] + vX_[3354] * vX_[175] + vX_[996] * vX_[160] + vX_[2969] * vX_[171] + (vX_[2755] + vX_[996] * vX_[159]) * 4.027 + vX_[3264] * vX_[173] + vX_[742] * vX_[155] + vX_[124] * vX_[154] + vX_[748] * vX_[142] + vX_[996] * vX_[191]) * -0.08 + vX_[433] * vX_[815] + vX_[3120] * vX_[894] + vX_[352] * vX_[813] + vX_[635] * vX_[884] + (vX_[3060] * vX_[896] + vX_[433] * vX_[882]) * -0.08) * vX_[3638] + (vX_[2625] * vX_[921] + vX_[2309] * vX_[926] + vX_[3414] * vX_[202] + vX_[368] * vX_[173] + vX_[362] * vX_[201] + vX_[3416] * vX_[216] + vX_[552] * vX_[228] + vX_[419] * vX_[150] + vX_[373] * vX_[154] + vX_[3086] * vX_[147] + vX_[416] * vX_[162] + vX_[1738] * vX_[190] + vX_[2645] * vX_[219] + vX_[3644] * vX_[189] + vX_[355] * vX_[186] + vX_[3120] * vX_[815] + vX_[635] * vX_[813] - (vX_[2380] * vX_[896] + vX_[433] * vX_[894]) + (vX_[3060] * vX_[921] + (vX_[3114] * vX_[174] + vX_[2524] * vX_[165] + vX_[3337] * vX_[173] + vX_[3626] * vX_[172] + (0 - (vX_[716] + vX_[748] * vX_[159] + vX_[2524] * vX_[164])) * 4.027 + vX_[2466] * vX_[149] + vX_[3063] * vX_[147] + vX_[3239] * vX_[151] + vX_[1009] * vX_[185]) * -1 + vX_[3120] * vX_[882]) * -0.08 - (vX_[2530] * vX_[924] + vX_[3645] * vX_[204] + vX_[3640] * vX_[156] + vX_[3388] * vX_[161] + vX_[3253] * vX_[227] + vX_[365] * vX_[155] + vX_[2680] * vX_[149] + vX_[3598] * vX_[166] + vX_[3277] * vX_[192] + vX_[2645] * vX_[218] + vX_[1910] * vX_[217] + vX_[352] * vX_[884])) * vX_[268];
+ vX_[1536] = vX_[2036] + vX_[1536] * vX_[197] + vX_[3535] * vX_[211];
+ vX_[469] = vX_[2036] + vX_[3514] * vX_[211] + vX_[469] * vX_[209];
+ vX_[3643] = vX_[2110] + vX_[2117] + vX_[2036] - vX_[1536] - vX_[469] + vX_[517] * vX_[198] + vX_[3643] * vX_[127];
+ vX_[469] = vX_[469] + vX_[554] * vX_[127] + vX_[305] * vX_[213] + vX_[721] * vX_[933];
+ vX_[554] = vX_[3643] - vX_[469];
+ vX_[3553] = vX_[3607] * vX_[197] + vX_[3553] * vX_[211] + vX_[846] * vX_[213] + vX_[308] * vX_[198] + vX_[282] * vX_[127] + vX_[1011] * vX_[933];
+ vX_[282] = vX_[554] * vX_[148] + vX_[3553] * vX_[157];
+ vX_[308] = vX_[554] * vX_[128] + vX_[3553] * vX_[148];
+ vX_[3614] = vX_[1931] + vX_[3614] * vX_[127] + vX_[3628] * vX_[198] * 2. + vX_[1011] * vX_[929];
+ vX_[1931] = 0 - vX_[3553];
+ vX_[3252] = 0 - (vX_[3514] * vX_[197] + vX_[3535] * vX_[209] + vX_[3530] * vX_[211] + vX_[1599] * vX_[127] + vX_[3252] * vX_[198] + vX_[272] * vX_[213] + vX_[360] * vX_[933] + vX_[721] * vX_[932]);
+ vX_[3530] = 0 - vX_[469];
+ vX_[3605] = vX_[321] + vX_[3605] * vX_[127] + vX_[277] * vX_[213] * 2. + vX_[721] * vX_[929] + vX_[513] * vX_[933];
+ vX_[277] = 0 - vX_[3605];
+ vX_[280] = vX_[284] + vX_[293] * vX_[127] + vX_[280] * vX_[213] + vX_[721] * vX_[930] + vX_[380] * vX_[933];
+ vX_[284] = 0 - vX_[280];
+ vX_[293] = (vX_[3530] * vX_[158] + vX_[277] * vX_[220] + vX_[284] * vX_[229]) * 1 / vX_[194];
+ vX_[3530] = vX_[3415] * vX_[920] + vX_[1931] * vX_[207] + vX_[3252] * vX_[195] + vX_[3530] * vX_[223] + vX_[293];
+ vX_[3534] = vX_[336] + vX_[3450] * vX_[198] + vX_[3534] * vX_[127] * 2. + vX_[1011] * vX_[930];
+ vX_[3643] = 0 - vX_[3643];
+ vX_[3515] = 0 - (0 - (vX_[3607] * vX_[211] + vX_[3515] * vX_[209]) + vX_[345] * vX_[213] + vX_[3637] * vX_[127] + vX_[3611] * vX_[198] + vX_[1011] * vX_[932]);
+ vX_[3611] = 0 - vX_[3614];
+ vX_[3607] = 0 - vX_[3534];
+ vX_[1931] = (vX_[3643] * vX_[206] + vX_[3515] * vX_[168] + vX_[1931] * vX_[158] + vX_[3611] * vX_[220] + vX_[3607] * vX_[229]) * 1 / vX_[194];
+ vX_[3643] = vX_[2830] * vX_[920] + vX_[3643] * vX_[207] + vX_[1931];
+ vX_[3637] = vX_[3530] * vX_[157] + vX_[3643] * vX_[148];
+ vX_[345] = vX_[3530] * vX_[148] + vX_[3643] * vX_[128];
+ vX_[336] = vX_[3534] * vX_[148] + vX_[280] * vX_[157];
+ vX_[321] = vX_[3534] * vX_[128] + vX_[280] * vX_[148];
+ vX_[259] = vX_[290] + vX_[259] * vX_[198] + vX_[768] * vX_[213] * 2. + vX_[360] * vX_[930] + vX_[380] * vX_[932];
+ vX_[290] = vX_[3605] - vX_[259];
+ vX_[1536] = 0 - (vX_[1536] + vX_[3618] * vX_[198] + vX_[291] * vX_[213] + vX_[360] * vX_[932]);
+ vX_[285] = 0 - (vX_[285] + vX_[310] * vX_[198] + vX_[3450] * vX_[213] + vX_[360] * vX_[929] + vX_[513] * vX_[932]);
+ vX_[259] = 0 - vX_[259];
+ vX_[3252] = (vX_[1536] * vX_[168] + vX_[3252] * vX_[158] + vX_[285] * vX_[220] + vX_[259] * vX_[229]) * 1 / vX_[194];
+ vX_[1536] = 0 - vX_[3614] + vX_[2900] * vX_[920] + vX_[3515] * vX_[207] + vX_[1536] * vX_[195] + vX_[3252];
+ vX_[768] = vX_[768] + vX_[380] * vX_[930];
+ vX_[3628] = vX_[3628] + vX_[513] * vX_[929];
+ vX_[3515] = 0 - vX_[3628];
+ vX_[3450] = vX_[3450] + vX_[513] * vX_[930] + vX_[380] * vX_[929];
+ vX_[310] = 0 - vX_[3450];
+ vX_[360] = (vX_[3515] * vX_[220] + vX_[310] * vX_[229]) * 1 / vX_[194];
+ vX_[3618] = 0 - vX_[768];
+ vX_[291] = vX_[3618] * vX_[229] * 1 / vX_[194];
+ vX_[3252] = 0 - vX_[2830] * vX_[947] - vX_[2900] * vX_[885] - vX_[3415] * vX_[936] - vX_[2907] * vX_[948] + vX_[2907] * vX_[920] - vX_[3121] * vX_[923] - vX_[3020] * vX_[939] - vX_[1931] * vX_[207] - vX_[3252] * vX_[195] - vX_[293] * vX_[223] - vX_[360] * vX_[487] - vX_[291] * vX_[496];
+ vX_[1931] = 0 - vX_[768] + vX_[3252];
+ vX_[291] = vX_[3020] * vX_[920] + vX_[3607] * vX_[207] + vX_[259] * vX_[195] + vX_[284] * vX_[223] + vX_[310] * vX_[487] + vX_[3618] * vX_[496] + vX_[291];
+ vX_[360] = vX_[3121] * vX_[920] + vX_[3611] * vX_[207] + vX_[285] * vX_[195] + vX_[277] * vX_[223] + vX_[3515] * vX_[487] + vX_[360];
+ vX_[3515] = vX_[1931] * vX_[148] + vX_[291] * vX_[157];
+ vX_[285] = vX_[1931] * vX_[128] + vX_[291] * vX_[148];
+ vX_[3611] = vX_[3515] * vX_[128] + vX_[285] * vX_[148];
+ vX_[277] = vX_[768] + vX_[3515] * vX_[148];
+ vX_[3121] = vX_[768] + vX_[285] * vX_[128];
+ vX_[3252] = vX_[3628] + vX_[768] + vX_[3252] - vX_[277] - vX_[3121];
+ vX_[3628] = 0 - vX_[3252];
+ vX_[768] = (vX_[3614] * vX_[148] + vX_[3605] * vX_[157]) * -1;
+ vX_[3618] = vX_[768] + vX_[3628] * vX_[159];
+ vX_[310] = 0 - vX_[3618];
+ vX_[768] = 0 - (vX_[290] * vX_[128] + vX_[1536] * vX_[148]) + vX_[768];
+ vX_[259] = (vX_[3614] * vX_[128] + vX_[3605] * vX_[148]) * -1;
+ vX_[3607] = vX_[259] + vX_[3252] * vX_[164];
+ vX_[284] = 0 - vX_[3607];
+ vX_[3020] = 0 - (vX_[3450] * vX_[128] + vX_[360] * vX_[148]) + vX_[3450] * vX_[157] * -1 * 2.;
+ vX_[293] = 0 - vX_[3020];
+ vX_[2907] = vX_[3450] * vX_[148] + vX_[360] * vX_[157] + vX_[3450] * vX_[148] * -1 * 2.;
+ vX_[3415] = 0 - vX_[2907];
+ vX_[2900] = 0 - vX_[3121];
+ vX_[259] = vX_[290] * vX_[148] + vX_[1536] * vX_[157] + vX_[259];
+ vX_[2830] = 0 - vX_[3611];
+ vX_[3535] = 0 - vX_[3121];
+ jac[494] = 0 - (vX_[1011] * vX_[896] + vX_[721] * vX_[921] + vX_[649] * vX_[924] + vX_[380] * vX_[926] + vX_[554] * vX_[204] + vX_[3553] * vX_[202] + vX_[282] * vX_[203] + vX_[308] * vX_[173] + vX_[3614] * vX_[161] + vX_[3530] * vX_[150] + vX_[3534] * vX_[227] + vX_[3605] * vX_[216] + vX_[3643] * vX_[156] + vX_[280] * vX_[228] + vX_[3637] * vX_[155] + vX_[345] * vX_[149] + vX_[336] * vX_[154] + vX_[321] * vX_[147] + vX_[290] * vX_[166] + vX_[1536] * vX_[162] + vX_[1931] * vX_[192] + vX_[291] * vX_[190] + vX_[3450] * vX_[540] + vX_[3450] * vX_[217] + vX_[360] * vX_[219] + vX_[3515] * vX_[144] + vX_[285] * vX_[189] + (vX_[3611] * vX_[165] + vX_[3628] * vX_[175] + vX_[277] * vX_[160] + vX_[310] * vX_[171] + (vX_[768] + vX_[277] * vX_[159]) * 4.027 + vX_[284] * vX_[173] + vX_[293] * vX_[155] + vX_[3415] * vX_[154] + vX_[3611] * vX_[142] + vX_[277] * vX_[191]) * -0.08 + vX_[325] * vX_[815] + vX_[287] * vX_[894] + vX_[3557] * vX_[813] + vX_[3556] * vX_[884] + (vX_[513] * vX_[896] + vX_[325] * vX_[882]) * -0.08) * vX_[3638] + (vX_[1011] * vX_[921] + vX_[649] * vX_[926] + vX_[554] * vX_[202] + vX_[282] * vX_[173] + vX_[308] * vX_[201] + vX_[3614] * vX_[216] + vX_[3534] * vX_[228] + vX_[3643] * vX_[150] + vX_[3637] * vX_[154] + vX_[345] * vX_[147] + vX_[290] * vX_[162] + vX_[1931] * vX_[190] + vX_[3450] * vX_[219] + vX_[3515] * vX_[189] + vX_[285] * vX_[186] + vX_[287] * vX_[815] + vX_[3556] * vX_[813] - (vX_[721] * vX_[896] + vX_[325] * vX_[894]) + (vX_[513] * vX_[921] + (vX_[3252] * vX_[174] + vX_[2900] * vX_[165] + vX_[3618] * vX_[173] + vX_[3607] * vX_[172] + (0 - (vX_[259] + vX_[3611] * vX_[159] + vX_[2900] * vX_[164])) * 4.027 + vX_[3020] * vX_[149] + vX_[2907] * vX_[147] + vX_[2830] * vX_[151] + vX_[3535] * vX_[185]) * -1 + vX_[287] * vX_[882]) * -0.08 - (vX_[380] * vX_[924] + vX_[3553] * vX_[204] + vX_[3530] * vX_[156] + vX_[3605] * vX_[161] + vX_[280] * vX_[227] + vX_[336] * vX_[155] + vX_[321] * vX_[149] + vX_[1536] * vX_[166] + vX_[291] * vX_[192] + vX_[3450] * vX_[218] + vX_[360] * vX_[217] + vX_[3557] * vX_[884])) * vX_[268];
+ vX_[1415] = vX_[1949] + vX_[1415] * vX_[197] + vX_[1405] * vX_[211];
+ vX_[2939] = vX_[1949] + vX_[1131] * vX_[211] + vX_[2939] * vX_[209];
+ vX_[1021] = vX_[2248] + vX_[2255] + vX_[1949] - vX_[1415] - vX_[2939] + vX_[3627] * vX_[198] + vX_[1021] * vX_[127];
+ vX_[2939] = vX_[2939] + vX_[1175] * vX_[127] + vX_[468] * vX_[213] + vX_[3604] * vX_[933];
+ vX_[1175] = vX_[1021] - vX_[2939];
+ vX_[1436] = vX_[770] * vX_[197] + vX_[1436] * vX_[211] + vX_[1164] * vX_[213] + vX_[462] * vX_[198] + vX_[1293] * vX_[127] + vX_[3629] * vX_[933];
+ vX_[1293] = vX_[1175] * vX_[148] + vX_[1436] * vX_[157];
+ vX_[462] = vX_[1175] * vX_[128] + vX_[1436] * vX_[148];
+ vX_[1772] = vX_[3095] + vX_[1772] * vX_[127] + vX_[3538] * vX_[198] * 2. + vX_[3629] * vX_[929];
+ vX_[3095] = 0 - vX_[1436];
+ vX_[715] = 0 - (vX_[1131] * vX_[197] + vX_[1405] * vX_[209] + vX_[1876] * vX_[211] + vX_[2411] * vX_[127] + vX_[715] * vX_[198] + vX_[1545] * vX_[213] + vX_[261] * vX_[933] + vX_[3604] * vX_[932]);
+ vX_[1876] = 0 - vX_[2939];
+ vX_[1790] = vX_[2007] + vX_[1790] * vX_[127] + vX_[1557] * vX_[213] * 2. + vX_[3604] * vX_[929] + vX_[3588] * vX_[933];
+ vX_[1557] = 0 - vX_[1790];
+ vX_[1630] = vX_[1294] + vX_[3432] * vX_[127] + vX_[1630] * vX_[213] + vX_[3604] * vX_[930] + vX_[334] * vX_[933];
+ vX_[1294] = 0 - vX_[1630];
+ vX_[3432] = (vX_[1876] * vX_[158] + vX_[1557] * vX_[220] + vX_[1294] * vX_[229]) * 1 / vX_[194];
+ vX_[1876] = vX_[322] * vX_[920] + vX_[3095] * vX_[207] + vX_[715] * vX_[195] + vX_[1876] * vX_[223] + vX_[3432];
+ vX_[1900] = vX_[512] + vX_[1438] * vX_[198] + vX_[1900] * vX_[127] * 2. + vX_[3629] * vX_[930];
+ vX_[1021] = 0 - vX_[1021];
+ vX_[1163] = 0 - (0 - (vX_[770] * vX_[211] + vX_[1163] * vX_[209]) + vX_[3518] * vX_[213] + vX_[1706] * vX_[127] + vX_[1731] * vX_[198] + vX_[3629] * vX_[932]);
+ vX_[1731] = 0 - vX_[1772];
+ vX_[770] = 0 - vX_[1900];
+ vX_[3095] = (vX_[1021] * vX_[206] + vX_[1163] * vX_[168] + vX_[3095] * vX_[158] + vX_[1731] * vX_[220] + vX_[770] * vX_[229]) * 1 / vX_[194];
+ vX_[1021] = vX_[309] * vX_[920] + vX_[1021] * vX_[207] + vX_[3095];
+ vX_[1706] = vX_[1876] * vX_[157] + vX_[1021] * vX_[148];
+ vX_[3518] = vX_[1876] * vX_[148] + vX_[1021] * vX_[128];
+ vX_[512] = vX_[1900] * vX_[148] + vX_[1630] * vX_[157];
+ vX_[2007] = vX_[1900] * vX_[128] + vX_[1630] * vX_[148];
+ vX_[443] = vX_[3473] + vX_[443] * vX_[198] + vX_[500] * vX_[213] * 2. + vX_[261] * vX_[930] + vX_[334] * vX_[932];
+ vX_[3473] = vX_[1790] - vX_[443];
+ vX_[1415] = 0 - (vX_[1415] + vX_[2245] * vX_[198] + vX_[405] * vX_[213] + vX_[261] * vX_[932]);
+ vX_[3454] = 0 - (vX_[3454] + vX_[3501] * vX_[198] + vX_[1438] * vX_[213] + vX_[261] * vX_[929] + vX_[3588] * vX_[932]);
+ vX_[443] = 0 - vX_[443];
+ vX_[715] = (vX_[1415] * vX_[168] + vX_[715] * vX_[158] + vX_[3454] * vX_[220] + vX_[443] * vX_[229]) * 1 / vX_[194];
+ vX_[1415] = 0 - vX_[1772] + vX_[320] * vX_[920] + vX_[1163] * vX_[207] + vX_[1415] * vX_[195] + vX_[715];
+ vX_[500] = vX_[500] + vX_[334] * vX_[930];
+ vX_[3538] = vX_[3538] + vX_[3588] * vX_[929];
+ vX_[1163] = 0 - vX_[3538];
+ vX_[1438] = vX_[1438] + vX_[3588] * vX_[930] + vX_[334] * vX_[929];
+ vX_[3501] = 0 - vX_[1438];
+ vX_[261] = (vX_[1163] * vX_[220] + vX_[3501] * vX_[229]) * 1 / vX_[194];
+ vX_[2245] = 0 - vX_[500];
+ vX_[405] = vX_[2245] * vX_[229] * 1 / vX_[194];
+ vX_[715] = 0 - vX_[309] * vX_[947] - vX_[320] * vX_[885] - vX_[322] * vX_[936] - vX_[323] * vX_[948] + vX_[323] * vX_[920] - vX_[281] * vX_[923] - vX_[335] * vX_[939] - vX_[3095] * vX_[207] - vX_[715] * vX_[195] - vX_[3432] * vX_[223] - vX_[261] * vX_[487] - vX_[405] * vX_[496];
+ vX_[3095] = 0 - vX_[500] + vX_[715];
+ vX_[405] = vX_[335] * vX_[920] + vX_[770] * vX_[207] + vX_[443] * vX_[195] + vX_[1294] * vX_[223] + vX_[3501] * vX_[487] + vX_[2245] * vX_[496] + vX_[405];
+ vX_[261] = vX_[281] * vX_[920] + vX_[1731] * vX_[207] + vX_[3454] * vX_[195] + vX_[1557] * vX_[223] + vX_[1163] * vX_[487] + vX_[261];
+ vX_[1163] = vX_[3095] * vX_[148] + vX_[405] * vX_[157];
+ vX_[3454] = vX_[3095] * vX_[128] + vX_[405] * vX_[148];
+ vX_[1731] = vX_[1163] * vX_[128] + vX_[3454] * vX_[148];
+ vX_[1557] = vX_[500] + vX_[1163] * vX_[148];
+ vX_[281] = vX_[500] + vX_[3454] * vX_[128];
+ vX_[715] = vX_[3538] + vX_[500] + vX_[715] - vX_[1557] - vX_[281];
+ vX_[3538] = 0 - vX_[715];
+ vX_[500] = (vX_[1772] * vX_[148] + vX_[1790] * vX_[157]) * -1;
+ vX_[2245] = vX_[500] + vX_[3538] * vX_[159];
+ vX_[3501] = 0 - vX_[2245];
+ vX_[500] = 0 - (vX_[3473] * vX_[128] + vX_[1415] * vX_[148]) + vX_[500];
+ vX_[443] = (vX_[1772] * vX_[128] + vX_[1790] * vX_[148]) * -1;
+ vX_[770] = vX_[443] + vX_[715] * vX_[164];
+ vX_[1294] = 0 - vX_[770];
+ vX_[335] = 0 - (vX_[1438] * vX_[128] + vX_[261] * vX_[148]) + vX_[1438] * vX_[157] * -1 * 2.;
+ vX_[3432] = 0 - vX_[335];
+ vX_[323] = vX_[1438] * vX_[148] + vX_[261] * vX_[157] + vX_[1438] * vX_[148] * -1 * 2.;
+ vX_[322] = 0 - vX_[323];
+ vX_[320] = 0 - vX_[281];
+ vX_[443] = vX_[3473] * vX_[148] + vX_[1415] * vX_[157] + vX_[443];
+ vX_[309] = 0 - vX_[1731];
+ vX_[1405] = 0 - vX_[281];
+ jac[495] = 0 - (vX_[3629] * vX_[896] + vX_[3604] * vX_[921] + vX_[304] * vX_[924] + vX_[334] * vX_[926] + vX_[1175] * vX_[204] + vX_[1436] * vX_[202] + vX_[1293] * vX_[203] + vX_[462] * vX_[173] + vX_[1772] * vX_[161] + vX_[1876] * vX_[150] + vX_[1900] * vX_[227] + vX_[1790] * vX_[216] + vX_[1021] * vX_[156] + vX_[1630] * vX_[228] + vX_[1706] * vX_[155] + vX_[3518] * vX_[149] + vX_[512] * vX_[154] + vX_[2007] * vX_[147] + vX_[3473] * vX_[166] + vX_[1415] * vX_[162] + vX_[3095] * vX_[192] + vX_[405] * vX_[190] + vX_[1438] * vX_[540] + vX_[1438] * vX_[217] + vX_[261] * vX_[219] + vX_[1163] * vX_[144] + vX_[3454] * vX_[189] + (vX_[1731] * vX_[165] + vX_[3538] * vX_[175] + vX_[1557] * vX_[160] + vX_[3501] * vX_[171] + (vX_[500] + vX_[1557] * vX_[159]) * 4.027 + vX_[1294] * vX_[173] + vX_[3432] * vX_[155] + vX_[322] * vX_[154] + vX_[1731] * vX_[142] + vX_[1557] * vX_[191]) * -0.08 + vX_[1032] * vX_[815] + vX_[3455] * vX_[894] + vX_[1334] * vX_[813] + vX_[1677] * vX_[884] + (vX_[3588] * vX_[896] + vX_[1032] * vX_[882]) * -0.08) * vX_[3638] + (vX_[3629] * vX_[921] + vX_[304] * vX_[926] + vX_[1175] * vX_[202] + vX_[1293] * vX_[173] + vX_[462] * vX_[201] + vX_[1772] * vX_[216] + vX_[1900] * vX_[228] + vX_[1021] * vX_[150] + vX_[1706] * vX_[154] + vX_[3518] * vX_[147] + vX_[3473] * vX_[162] + vX_[3095] * vX_[190] + vX_[1438] * vX_[219] + vX_[1163] * vX_[189] + vX_[3454] * vX_[186] + vX_[3455] * vX_[815] + vX_[1677] * vX_[813] - (vX_[3604] * vX_[896] + vX_[1032] * vX_[894]) + (vX_[3588] * vX_[921] + (vX_[715] * vX_[174] + vX_[320] * vX_[165] + vX_[2245] * vX_[173] + vX_[770] * vX_[172] + (0 - (vX_[443] + vX_[1731] * vX_[159] + vX_[320] * vX_[164])) * 4.027 + vX_[335] * vX_[149] + vX_[323] * vX_[147] + vX_[309] * vX_[151] + vX_[1405] * vX_[185]) * -1 + vX_[3455] * vX_[882]) * -0.08 - (vX_[334] * vX_[924] + vX_[1436] * vX_[204] + vX_[1876] * vX_[156] + vX_[1790] * vX_[161] + vX_[1630] * vX_[227] + vX_[512] * vX_[155] + vX_[2007] * vX_[149] + vX_[1415] * vX_[166] + vX_[405] * vX_[192] + vX_[1438] * vX_[218] + vX_[261] * vX_[217] + vX_[1334] * vX_[884])) * vX_[268];
+ vX_[2369] = vX_[2325] + vX_[2369] * vX_[197] + vX_[2646] * vX_[211];
+ vX_[2016] = vX_[2325] + vX_[2209] * vX_[211] + vX_[2016] * vX_[209];
+ vX_[2014] = vX_[2400] + vX_[2407] + vX_[2325] - vX_[2369] - vX_[2016] + vX_[3484] * vX_[198] + vX_[2014] * vX_[127];
+ vX_[2016] = vX_[2016] + vX_[2283] * vX_[127] + vX_[1825] * vX_[213] + vX_[1151] * vX_[933];
+ vX_[2283] = vX_[2014] - vX_[2016];
+ vX_[2448] = vX_[2446] * vX_[197] + vX_[2448] * vX_[211] + vX_[2273] * vX_[213] + vX_[1764] * vX_[198] + vX_[2205] * vX_[127] + vX_[1238] * vX_[933];
+ vX_[2205] = vX_[2283] * vX_[148] + vX_[2448] * vX_[157];
+ vX_[1764] = vX_[2283] * vX_[128] + vX_[2448] * vX_[148];
+ vX_[3200] = vX_[3641] + vX_[3200] * vX_[127] + vX_[1414] * vX_[198] * 2. + vX_[1238] * vX_[929];
+ vX_[3641] = 0 - vX_[2448];
+ vX_[1328] = 0 - (vX_[2209] * vX_[197] + vX_[2646] * vX_[209] + vX_[2079] * vX_[211] + vX_[501] * vX_[127] + vX_[1328] * vX_[198] + vX_[2453] * vX_[213] + vX_[463] * vX_[933] + vX_[1151] * vX_[932]);
+ vX_[2079] = 0 - vX_[2016];
+ vX_[2302] = vX_[1826] + vX_[2302] * vX_[127] + vX_[2532] * vX_[213] * 2. + vX_[1151] * vX_[929] + vX_[1493] * vX_[933];
+ vX_[2532] = 0 - vX_[2302];
+ vX_[2541] = vX_[1637] + vX_[1760] * vX_[127] + vX_[2541] * vX_[213] + vX_[1151] * vX_[930] + vX_[619] * vX_[933];
+ vX_[1637] = 0 - vX_[2541];
+ vX_[1760] = (vX_[2079] * vX_[158] + vX_[2532] * vX_[220] + vX_[1637] * vX_[229]) * 1 / vX_[194];
+ vX_[2079] = vX_[459] * vX_[920] + vX_[3641] * vX_[207] + vX_[1328] * vX_[195] + vX_[2079] * vX_[223] + vX_[1760];
+ vX_[3159] = vX_[2313] + vX_[1740] * vX_[198] + vX_[3159] * vX_[127] * 2. + vX_[1238] * vX_[930];
+ vX_[2014] = 0 - vX_[2014];
+ vX_[2487] = 0 - (0 - (vX_[2446] * vX_[211] + vX_[2487] * vX_[209]) + vX_[1579] * vX_[213] + vX_[2204] * vX_[127] + vX_[2415] * vX_[198] + vX_[1238] * vX_[932]);
+ vX_[2415] = 0 - vX_[3200];
+ vX_[2446] = 0 - vX_[3159];
+ vX_[3641] = (vX_[2014] * vX_[206] + vX_[2487] * vX_[168] + vX_[3641] * vX_[158] + vX_[2415] * vX_[220] + vX_[2446] * vX_[229]) * 1 / vX_[194];
+ vX_[2014] = vX_[3476] * vX_[920] + vX_[2014] * vX_[207] + vX_[3641];
+ vX_[2204] = vX_[2079] * vX_[157] + vX_[2014] * vX_[148];
+ vX_[1579] = vX_[2079] * vX_[148] + vX_[2014] * vX_[128];
+ vX_[2313] = vX_[3159] * vX_[148] + vX_[2541] * vX_[157];
+ vX_[1826] = vX_[3159] * vX_[128] + vX_[2541] * vX_[148];
+ vX_[1727] = vX_[2465] + vX_[1727] * vX_[198] + vX_[1035] * vX_[213] * 2. + vX_[463] * vX_[930] + vX_[619] * vX_[932];
+ vX_[2465] = vX_[2302] - vX_[1727];
+ vX_[2369] = 0 - (vX_[2369] + vX_[1950] * vX_[198] + vX_[1638] * vX_[213] + vX_[463] * vX_[932]);
+ vX_[1768] = 0 - (vX_[1768] + vX_[1908] * vX_[198] + vX_[1740] * vX_[213] + vX_[463] * vX_[929] + vX_[1493] * vX_[932]);
+ vX_[1727] = 0 - vX_[1727];
+ vX_[1328] = (vX_[2369] * vX_[168] + vX_[1328] * vX_[158] + vX_[1768] * vX_[220] + vX_[1727] * vX_[229]) * 1 / vX_[194];
+ vX_[2369] = 0 - vX_[3200] + vX_[1109] * vX_[920] + vX_[2487] * vX_[207] + vX_[2369] * vX_[195] + vX_[1328];
+ vX_[1035] = vX_[1035] + vX_[619] * vX_[930];
+ vX_[1414] = vX_[1414] + vX_[1493] * vX_[929];
+ vX_[2487] = 0 - vX_[1414];
+ vX_[1740] = vX_[1740] + vX_[1493] * vX_[930] + vX_[619] * vX_[929];
+ vX_[1908] = 0 - vX_[1740];
+ vX_[463] = (vX_[2487] * vX_[220] + vX_[1908] * vX_[229]) * 1 / vX_[194];
+ vX_[1950] = 0 - vX_[1035];
+ vX_[1638] = vX_[1950] * vX_[229] * 1 / vX_[194];
+ vX_[1328] = 0 - vX_[3476] * vX_[947] - vX_[1109] * vX_[885] - vX_[459] * vX_[936] - vX_[572] * vX_[948] + vX_[572] * vX_[920] - vX_[3420] * vX_[923] - vX_[3521] * vX_[939] - vX_[3641] * vX_[207] - vX_[1328] * vX_[195] - vX_[1760] * vX_[223] - vX_[463] * vX_[487] - vX_[1638] * vX_[496];
+ vX_[3641] = 0 - vX_[1035] + vX_[1328];
+ vX_[1638] = vX_[3521] * vX_[920] + vX_[2446] * vX_[207] + vX_[1727] * vX_[195] + vX_[1637] * vX_[223] + vX_[1908] * vX_[487] + vX_[1950] * vX_[496] + vX_[1638];
+ vX_[463] = vX_[3420] * vX_[920] + vX_[2415] * vX_[207] + vX_[1768] * vX_[195] + vX_[2532] * vX_[223] + vX_[2487] * vX_[487] + vX_[463];
+ vX_[2487] = vX_[3641] * vX_[148] + vX_[1638] * vX_[157];
+ vX_[1768] = vX_[3641] * vX_[128] + vX_[1638] * vX_[148];
+ vX_[2415] = vX_[2487] * vX_[128] + vX_[1768] * vX_[148];
+ vX_[2532] = vX_[1035] + vX_[2487] * vX_[148];
+ vX_[3420] = vX_[1035] + vX_[1768] * vX_[128];
+ vX_[1328] = vX_[1414] + vX_[1035] + vX_[1328] - vX_[2532] - vX_[3420];
+ vX_[1414] = 0 - vX_[1328];
+ vX_[1035] = (vX_[3200] * vX_[148] + vX_[2302] * vX_[157]) * -1;
+ vX_[1950] = vX_[1035] + vX_[1414] * vX_[159];
+ vX_[1908] = 0 - vX_[1950];
+ vX_[1035] = 0 - (vX_[2465] * vX_[128] + vX_[2369] * vX_[148]) + vX_[1035];
+ vX_[1727] = (vX_[3200] * vX_[128] + vX_[2302] * vX_[148]) * -1;
+ vX_[2446] = vX_[1727] + vX_[1328] * vX_[164];
+ vX_[1637] = 0 - vX_[2446];
+ vX_[3521] = 0 - (vX_[1740] * vX_[128] + vX_[463] * vX_[148]) + vX_[1740] * vX_[157] * -1 * 2.;
+ vX_[1760] = 0 - vX_[3521];
+ vX_[572] = vX_[1740] * vX_[148] + vX_[463] * vX_[157] + vX_[1740] * vX_[148] * -1 * 2.;
+ vX_[459] = 0 - vX_[572];
+ vX_[1109] = 0 - vX_[3420];
+ vX_[1727] = vX_[2465] * vX_[148] + vX_[2369] * vX_[157] + vX_[1727];
+ vX_[3476] = 0 - vX_[2415];
+ vX_[2646] = 0 - vX_[3420];
+ jac[496] = 0 - (vX_[1238] * vX_[896] + vX_[1151] * vX_[921] + vX_[621] * vX_[924] + vX_[619] * vX_[926] + vX_[2283] * vX_[204] + vX_[2448] * vX_[202] + vX_[2205] * vX_[203] + vX_[1764] * vX_[173] + vX_[3200] * vX_[161] + vX_[2079] * vX_[150] + vX_[3159] * vX_[227] + vX_[2302] * vX_[216] + vX_[2014] * vX_[156] + vX_[2541] * vX_[228] + vX_[2204] * vX_[155] + vX_[1579] * vX_[149] + vX_[2313] * vX_[154] + vX_[1826] * vX_[147] + vX_[2465] * vX_[166] + vX_[2369] * vX_[162] + vX_[3641] * vX_[192] + vX_[1638] * vX_[190] + vX_[1740] * vX_[540] + vX_[1740] * vX_[217] + vX_[463] * vX_[219] + vX_[2487] * vX_[144] + vX_[1768] * vX_[189] + (vX_[2415] * vX_[165] + vX_[1414] * vX_[175] + vX_[2532] * vX_[160] + vX_[1908] * vX_[171] + (vX_[1035] + vX_[2532] * vX_[159]) * 4.027 + vX_[1637] * vX_[173] + vX_[1760] * vX_[155] + vX_[459] * vX_[154] + vX_[2415] * vX_[142] + vX_[2532] * vX_[191]) * -0.08 + vX_[2421] * vX_[815] + vX_[2166] * vX_[894] + vX_[2717] * vX_[813] + vX_[2312] * vX_[884] + (vX_[1493] * vX_[896] + vX_[2421] * vX_[882]) * -0.08) * vX_[3638] + (vX_[1238] * vX_[921] + vX_[621] * vX_[926] + vX_[2283] * vX_[202] + vX_[2205] * vX_[173] + vX_[1764] * vX_[201] + vX_[3200] * vX_[216] + vX_[3159] * vX_[228] + vX_[2014] * vX_[150] + vX_[2204] * vX_[154] + vX_[1579] * vX_[147] + vX_[2465] * vX_[162] + vX_[3641] * vX_[190] + vX_[1740] * vX_[219] + vX_[2487] * vX_[189] + vX_[1768] * vX_[186] + vX_[2166] * vX_[815] + vX_[2312] * vX_[813] - (vX_[1151] * vX_[896] + vX_[2421] * vX_[894]) + (vX_[1493] * vX_[921] + (vX_[1328] * vX_[174] + vX_[1109] * vX_[165] + vX_[1950] * vX_[173] + vX_[2446] * vX_[172] + (0 - (vX_[1727] + vX_[2415] * vX_[159] + vX_[1109] * vX_[164])) * 4.027 + vX_[3521] * vX_[149] + vX_[572] * vX_[147] + vX_[3476] * vX_[151] + vX_[2646] * vX_[185]) * -1 + vX_[2166] * vX_[882]) * -0.08 - (vX_[619] * vX_[924] + vX_[2448] * vX_[204] + vX_[2079] * vX_[156] + vX_[2302] * vX_[161] + vX_[2541] * vX_[227] + vX_[2313] * vX_[155] + vX_[1826] * vX_[149] + vX_[2369] * vX_[166] + vX_[1638] * vX_[192] + vX_[1740] * vX_[218] + vX_[463] * vX_[217] + vX_[2717] * vX_[884])) * vX_[268];
+ vX_[3365] = vX_[2477] + vX_[3365] * vX_[197] + vX_[451] * vX_[211];
+ vX_[3313] = vX_[2477] + vX_[765] * vX_[211] + vX_[3313] * vX_[209];
+ vX_[566] = vX_[2552] + vX_[2559] + vX_[2477] - vX_[3365] - vX_[3313] + vX_[2810] * vX_[198] + vX_[566] * vX_[127];
+ vX_[3313] = vX_[3313] + vX_[2488] * vX_[127] + vX_[2264] * vX_[213] + vX_[2455] * vX_[933];
+ vX_[2488] = vX_[566] - vX_[3313];
+ vX_[1906] = vX_[3410] * vX_[197] + vX_[1906] * vX_[211] + vX_[2318] * vX_[213] + vX_[2129] * vX_[198] + vX_[2782] * vX_[127] + vX_[2436] * vX_[933];
+ vX_[2782] = vX_[2488] * vX_[148] + vX_[1906] * vX_[157];
+ vX_[2129] = vX_[2488] * vX_[128] + vX_[1906] * vX_[148];
+ vX_[3161] = vX_[3540] + vX_[3161] * vX_[127] + vX_[2307] * vX_[198] * 2. + vX_[2436] * vX_[929];
+ vX_[3540] = 0 - vX_[1906];
+ vX_[2124] = 0 - (vX_[765] * vX_[197] + vX_[451] * vX_[209] + vX_[3382] * vX_[211] + vX_[275] * vX_[127] + vX_[2124] * vX_[198] + vX_[2735] * vX_[213] + vX_[1835] * vX_[933] + vX_[2455] * vX_[932]);
+ vX_[3382] = 0 - vX_[3313];
+ vX_[3276] = vX_[2379] + vX_[3276] * vX_[127] + vX_[2597] * vX_[213] * 2. + vX_[2455] * vX_[929] + vX_[3231] * vX_[933];
+ vX_[2597] = 0 - vX_[3276];
+ vX_[2391] = vX_[2960] + vX_[2497] * vX_[127] + vX_[2391] * vX_[213] + vX_[2455] * vX_[930] + vX_[1575] * vX_[933];
+ vX_[2960] = 0 - vX_[2391];
+ vX_[2497] = (vX_[3382] * vX_[158] + vX_[2597] * vX_[220] + vX_[2960] * vX_[229]) * 1 / vX_[194];
+ vX_[3382] = vX_[2021] * vX_[920] + vX_[3540] * vX_[207] + vX_[2124] * vX_[195] + vX_[3382] * vX_[223] + vX_[2497];
+ vX_[3054] = vX_[2502] + vX_[3062] * vX_[198] + vX_[3054] * vX_[127] * 2. + vX_[2436] * vX_[930];
+ vX_[566] = 0 - vX_[566];
+ vX_[726] = 0 - (0 - (vX_[3410] * vX_[211] + vX_[726] * vX_[209]) + vX_[2542] * vX_[213] + vX_[2948] * vX_[127] + vX_[3093] * vX_[198] + vX_[2436] * vX_[932]);
+ vX_[3093] = 0 - vX_[3161];
+ vX_[3410] = 0 - vX_[3054];
+ vX_[3540] = (vX_[566] * vX_[206] + vX_[726] * vX_[168] + vX_[3540] * vX_[158] + vX_[3093] * vX_[220] + vX_[3410] * vX_[229]) * 1 / vX_[194];
+ vX_[566] = vX_[1710] * vX_[920] + vX_[566] * vX_[207] + vX_[3540];
+ vX_[2948] = vX_[3382] * vX_[157] + vX_[566] * vX_[148];
+ vX_[2542] = vX_[3382] * vX_[148] + vX_[566] * vX_[128];
+ vX_[2502] = vX_[3054] * vX_[148] + vX_[2391] * vX_[157];
+ vX_[2379] = vX_[3054] * vX_[128] + vX_[2391] * vX_[148];
+ vX_[2390] = vX_[2812] + vX_[2390] * vX_[198] + vX_[1986] * vX_[213] * 2. + vX_[1835] * vX_[930] + vX_[1575] * vX_[932];
+ vX_[2812] = vX_[3276] - vX_[2390];
+ vX_[3365] = 0 - (vX_[3365] + vX_[2869] * vX_[198] + vX_[2520] * vX_[213] + vX_[1835] * vX_[932]);
+ vX_[2661] = 0 - (vX_[2661] + vX_[388] * vX_[198] + vX_[3062] * vX_[213] + vX_[1835] * vX_[929] + vX_[3231] * vX_[932]);
+ vX_[2390] = 0 - vX_[2390];
+ vX_[2124] = (vX_[3365] * vX_[168] + vX_[2124] * vX_[158] + vX_[2661] * vX_[220] + vX_[2390] * vX_[229]) * 1 / vX_[194];
+ vX_[3365] = 0 - vX_[3161] + vX_[2423] * vX_[920] + vX_[726] * vX_[207] + vX_[3365] * vX_[195] + vX_[2124];
+ vX_[1986] = vX_[1986] + vX_[1575] * vX_[930];
+ vX_[2307] = vX_[2307] + vX_[3231] * vX_[929];
+ vX_[726] = 0 - vX_[2307];
+ vX_[3062] = vX_[3062] + vX_[3231] * vX_[930] + vX_[1575] * vX_[929];
+ vX_[388] = 0 - vX_[3062];
+ vX_[1835] = (vX_[726] * vX_[220] + vX_[388] * vX_[229]) * 1 / vX_[194];
+ vX_[2869] = 0 - vX_[1986];
+ vX_[2520] = vX_[2869] * vX_[229] * 1 / vX_[194];
+ vX_[2124] = 0 - vX_[1710] * vX_[947] - vX_[2423] * vX_[885] - vX_[2021] * vX_[936] - vX_[1712] * vX_[948] + vX_[1712] * vX_[920] - vX_[1866] * vX_[923] - vX_[1383] * vX_[939] - vX_[3540] * vX_[207] - vX_[2124] * vX_[195] - vX_[2497] * vX_[223] - vX_[1835] * vX_[487] - vX_[2520] * vX_[496];
+ vX_[3540] = 0 - vX_[1986] + vX_[2124];
+ vX_[2520] = vX_[1383] * vX_[920] + vX_[3410] * vX_[207] + vX_[2390] * vX_[195] + vX_[2960] * vX_[223] + vX_[388] * vX_[487] + vX_[2869] * vX_[496] + vX_[2520];
+ vX_[1835] = vX_[1866] * vX_[920] + vX_[3093] * vX_[207] + vX_[2661] * vX_[195] + vX_[2597] * vX_[223] + vX_[726] * vX_[487] + vX_[1835];
+ vX_[726] = vX_[3540] * vX_[148] + vX_[2520] * vX_[157];
+ vX_[2661] = vX_[3540] * vX_[128] + vX_[2520] * vX_[148];
+ vX_[3093] = vX_[726] * vX_[128] + vX_[2661] * vX_[148];
+ vX_[2597] = vX_[1986] + vX_[726] * vX_[148];
+ vX_[1866] = vX_[1986] + vX_[2661] * vX_[128];
+ vX_[2124] = vX_[2307] + vX_[1986] + vX_[2124] - vX_[2597] - vX_[1866];
+ vX_[2307] = 0 - vX_[2124];
+ vX_[1986] = (vX_[3161] * vX_[148] + vX_[3276] * vX_[157]) * -1;
+ vX_[2869] = vX_[1986] + vX_[2307] * vX_[159];
+ vX_[388] = 0 - vX_[2869];
+ vX_[1986] = 0 - (vX_[2812] * vX_[128] + vX_[3365] * vX_[148]) + vX_[1986];
+ vX_[2390] = (vX_[3161] * vX_[128] + vX_[3276] * vX_[148]) * -1;
+ vX_[3410] = vX_[2390] + vX_[2124] * vX_[164];
+ vX_[2960] = 0 - vX_[3410];
+ vX_[1383] = 0 - (vX_[3062] * vX_[128] + vX_[1835] * vX_[148]) + vX_[3062] * vX_[157] * -1 * 2.;
+ vX_[2497] = 0 - vX_[1383];
+ vX_[1712] = vX_[3062] * vX_[148] + vX_[1835] * vX_[157] + vX_[3062] * vX_[148] * -1 * 2.;
+ vX_[2021] = 0 - vX_[1712];
+ vX_[2423] = 0 - vX_[1866];
+ vX_[2390] = vX_[2812] * vX_[148] + vX_[3365] * vX_[157] + vX_[2390];
+ vX_[1710] = 0 - vX_[3093];
+ vX_[451] = 0 - vX_[1866];
+ jac[497] = 0 - (vX_[2436] * vX_[896] + vX_[2455] * vX_[921] + vX_[1846] * vX_[924] + vX_[1575] * vX_[926] + vX_[2488] * vX_[204] + vX_[1906] * vX_[202] + vX_[2782] * vX_[203] + vX_[2129] * vX_[173] + vX_[3161] * vX_[161] + vX_[3382] * vX_[150] + vX_[3054] * vX_[227] + vX_[3276] * vX_[216] + vX_[566] * vX_[156] + vX_[2391] * vX_[228] + vX_[2948] * vX_[155] + vX_[2542] * vX_[149] + vX_[2502] * vX_[154] + vX_[2379] * vX_[147] + vX_[2812] * vX_[166] + vX_[3365] * vX_[162] + vX_[3540] * vX_[192] + vX_[2520] * vX_[190] + vX_[3062] * vX_[540] + vX_[3062] * vX_[217] + vX_[1835] * vX_[219] + vX_[726] * vX_[144] + vX_[2661] * vX_[189] + (vX_[3093] * vX_[165] + vX_[2307] * vX_[175] + vX_[2597] * vX_[160] + vX_[388] * vX_[171] + (vX_[1986] + vX_[2597] * vX_[159]) * 4.027 + vX_[2960] * vX_[173] + vX_[2497] * vX_[155] + vX_[2021] * vX_[154] + vX_[3093] * vX_[142] + vX_[2597] * vX_[191]) * -0.08 + vX_[3160] * vX_[815] + vX_[2932] * vX_[894] + vX_[3376] * vX_[813] + vX_[3257] * vX_[884] + (vX_[3231] * vX_[896] + vX_[3160] * vX_[882]) * -0.08) * vX_[3638] + (vX_[2436] * vX_[921] + vX_[1846] * vX_[926] + vX_[2488] * vX_[202] + vX_[2782] * vX_[173] + vX_[2129] * vX_[201] + vX_[3161] * vX_[216] + vX_[3054] * vX_[228] + vX_[566] * vX_[150] + vX_[2948] * vX_[154] + vX_[2542] * vX_[147] + vX_[2812] * vX_[162] + vX_[3540] * vX_[190] + vX_[3062] * vX_[219] + vX_[726] * vX_[189] + vX_[2661] * vX_[186] + vX_[2932] * vX_[815] + vX_[3257] * vX_[813] - (vX_[2455] * vX_[896] + vX_[3160] * vX_[894]) + (vX_[3231] * vX_[921] + (vX_[2124] * vX_[174] + vX_[2423] * vX_[165] + vX_[2869] * vX_[173] + vX_[3410] * vX_[172] + (0 - (vX_[2390] + vX_[3093] * vX_[159] + vX_[2423] * vX_[164])) * 4.027 + vX_[1383] * vX_[149] + vX_[1712] * vX_[147] + vX_[1710] * vX_[151] + vX_[451] * vX_[185]) * -1 + vX_[2932] * vX_[882]) * -0.08 - (vX_[1575] * vX_[924] + vX_[1906] * vX_[204] + vX_[3382] * vX_[156] + vX_[3276] * vX_[161] + vX_[2391] * vX_[227] + vX_[2502] * vX_[155] + vX_[2379] * vX_[149] + vX_[3365] * vX_[166] + vX_[2520] * vX_[192] + vX_[3062] * vX_[218] + vX_[1835] * vX_[217] + vX_[3376] * vX_[884])) * vX_[268];
+ vX_[1548] = vX_[2501] + vX_[1548] * vX_[197] + vX_[1792] * vX_[211];
+ vX_[1494] = vX_[2501] + vX_[2677] * vX_[211] + vX_[1494] * vX_[209];
+ vX_[2011] = vX_[2694] + vX_[2701] + vX_[2501] - vX_[1548] - vX_[1494] + vX_[3018] * vX_[198] + vX_[2011] * vX_[127];
+ vX_[1494] = vX_[1494] + vX_[971] * vX_[127] + vX_[3405] * vX_[213] + vX_[3409] * vX_[933];
+ vX_[971] = vX_[2011] - vX_[1494];
+ vX_[1247] = vX_[1558] * vX_[197] + vX_[1247] * vX_[211] + vX_[404] * vX_[213] + vX_[1199] * vX_[198] + vX_[1671] * vX_[127] + vX_[3385] * vX_[933];
+ vX_[1671] = vX_[971] * vX_[148] + vX_[1247] * vX_[157];
+ vX_[1199] = vX_[971] * vX_[128] + vX_[1247] * vX_[148];
+ vX_[1427] = vX_[1413] + vX_[1427] * vX_[127] + vX_[3303] * vX_[198] * 2. + vX_[3385] * vX_[929];
+ vX_[1413] = vX_[891] * vX_[1810] + vX_[892] * vX_[1898] + vX_[126] * vX_[1899] + vX_[125] * vX_[1855] + vX_[893] * vX_[1754] + vX_[933];
+ vX_[404] = 0 - vX_[1247];
+ vX_[578] = 0 - (vX_[2677] * vX_[197] + vX_[1792] * vX_[209] + vX_[1604] * vX_[211] + vX_[677] * vX_[127] + vX_[578] * vX_[198] + vX_[1370] * vX_[213] + vX_[387] * vX_[933] + vX_[3409] * vX_[932]);
+ vX_[1604] = 0 - vX_[1494];
+ vX_[1446] = vX_[458] + vX_[1446] * vX_[127] + vX_[1106] * vX_[213] * 2. + vX_[3409] * vX_[929] + vX_[3035] * vX_[933];
+ vX_[1106] = 0 - vX_[1446];
+ vX_[753] = vX_[1714] + vX_[773] * vX_[127] + vX_[753] * vX_[213] + vX_[3409] * vX_[930] + vX_[2413] * vX_[933];
+ vX_[1714] = 0 - vX_[753];
+ vX_[773] = (vX_[1604] * vX_[158] + vX_[1106] * vX_[220] + vX_[1714] * vX_[229]) * 1 / vX_[194];
+ vX_[1604] = vX_[2639] * vX_[1413] + vX_[2368] * vX_[920] + vX_[404] * vX_[207] + vX_[578] * vX_[195] + vX_[1604] * vX_[223] + vX_[773];
+ vX_[1298] = vX_[3357] + vX_[3411] * vX_[198] + vX_[1298] * vX_[127] * 2. + vX_[3385] * vX_[930];
+ vX_[1742] = 0.207 * vX_[1810] + vX_[1742];
+ vX_[2011] = 0 - vX_[2011];
+ vX_[1610] = 0 - (0 - (vX_[1558] * vX_[211] + vX_[1610] * vX_[209]) + vX_[1077] * vX_[213] + vX_[1901] * vX_[127] + vX_[1904] * vX_[198] + vX_[3385] * vX_[932]);
+ vX_[1904] = 0 - vX_[1427];
+ vX_[1558] = 0 - vX_[1298];
+ vX_[404] = (vX_[2011] * vX_[206] + vX_[1610] * vX_[168] + vX_[404] * vX_[158] + vX_[1904] * vX_[220] + vX_[1558] * vX_[229]) * 1 / vX_[194];
+ vX_[2011] = vX_[2607] * vX_[1742] + vX_[392] * vX_[920] + vX_[2011] * vX_[207] + vX_[404];
+ vX_[2607] = vX_[1604] * vX_[157] + vX_[2011] * vX_[148];
+ vX_[1901] = vX_[1604] * vX_[148] + vX_[2011] * vX_[128];
+ vX_[1077] = vX_[1298] * vX_[148] + vX_[753] * vX_[157];
+ vX_[3357] = vX_[1298] * vX_[128] + vX_[753] * vX_[148];
+ vX_[1550] = vX_[3489] + vX_[1550] * vX_[198] + vX_[3488] * vX_[213] * 2. + vX_[387] * vX_[930] + vX_[2413] * vX_[932];
+ vX_[3489] = vX_[1446] - vX_[1550];
+ vX_[2639] = vX_[212] * vX_[1810] + vX_[210] * vX_[1898] + vX_[880] * vX_[1899] + vX_[197] * vX_[1855] + vX_[879] * vX_[1754] + vX_[932];
+ vX_[1548] = 0 - (vX_[1548] + vX_[1331] * vX_[198] + vX_[1466] * vX_[213] + vX_[387] * vX_[932]);
+ vX_[1324] = 0 - (vX_[1324] + vX_[764] * vX_[198] + vX_[3411] * vX_[213] + vX_[387] * vX_[929] + vX_[3035] * vX_[932]);
+ vX_[1550] = 0 - vX_[1550];
+ vX_[578] = (vX_[1548] * vX_[168] + vX_[578] * vX_[158] + vX_[1324] * vX_[220] + vX_[1550] * vX_[229]) * 1 / vX_[194];
+ vX_[1548] = 0 - vX_[1427] + vX_[2642] * vX_[2639] + vX_[2938] * vX_[920] + vX_[1610] * vX_[207] + vX_[1548] * vX_[195] + vX_[578];
+ vX_[3488] = vX_[3488] + vX_[2413] * vX_[930];
+ vX_[1610] = vX_[197] * vX_[1810] + vX_[211] * vX_[1898] + vX_[929];
+ vX_[2642] = vX_[211] * vX_[1810] + vX_[209] * vX_[1898] + vX_[930];
+ vX_[764] = (vX_[920] - vX_[194] * vX_[1907] - vX_[220] * vX_[1610] - vX_[229] * vX_[2642] - vX_[206] * vX_[1742] - vX_[168] * vX_[2639] - vX_[158] * vX_[1413]) / vX_[194];
+ vX_[3303] = vX_[3303] + vX_[3035] * vX_[929];
+ vX_[387] = 0 - vX_[3303];
+ vX_[3411] = vX_[3411] + vX_[3035] * vX_[930] + vX_[2413] * vX_[929];
+ vX_[1331] = 0 - vX_[3411];
+ vX_[1466] = (vX_[387] * vX_[220] + vX_[1331] * vX_[229]) * 1 / vX_[194];
+ vX_[458] = 0 - vX_[3488];
+ vX_[1792] = vX_[458] * vX_[229] * 1 / vX_[194];
+ vX_[578] = 0 - vX_[2643] * vX_[764] + vX_[2598] * vX_[1907] - vX_[392] * vX_[947] - vX_[2938] * vX_[885] - vX_[2368] * vX_[936] - vX_[2647] * vX_[948] + vX_[2647] * vX_[920] - vX_[2651] * vX_[923] - vX_[2459] * vX_[939] - vX_[404] * vX_[207] - vX_[578] * vX_[195] - vX_[773] * vX_[223] - vX_[1466] * vX_[487] - vX_[1792] * vX_[496];
+ vX_[404] = 0 - vX_[3488] + vX_[578];
+ vX_[1792] = vX_[2583] * vX_[2642] + vX_[2459] * vX_[920] + vX_[1558] * vX_[207] + vX_[1550] * vX_[195] + vX_[1714] * vX_[223] + vX_[1331] * vX_[487] + vX_[458] * vX_[496] + vX_[1792];
+ vX_[1466] = vX_[2558] * vX_[1610] + vX_[2651] * vX_[920] + vX_[1904] * vX_[207] + vX_[1324] * vX_[195] + vX_[1106] * vX_[223] + vX_[387] * vX_[487] + vX_[1466];
+ vX_[387] = vX_[404] * vX_[148] + vX_[1792] * vX_[157];
+ vX_[1324] = vX_[404] * vX_[128] + vX_[1792] * vX_[148];
+ vX_[1904] = vX_[387] * vX_[128] + vX_[1324] * vX_[148];
+ vX_[1106] = vX_[3488] + vX_[387] * vX_[148];
+ vX_[2651] = vX_[3488] + vX_[1324] * vX_[128];
+ vX_[578] = vX_[3303] + vX_[3488] + vX_[578] - vX_[1106] - vX_[2651];
+ vX_[3303] = 0 - vX_[578];
+ vX_[3488] = (vX_[1427] * vX_[148] + vX_[1446] * vX_[157]) * -1;
+ vX_[2558] = vX_[3488] + vX_[3303] * vX_[159];
+ vX_[458] = 0 - vX_[2558];
+ vX_[3488] = 0 - (vX_[3489] * vX_[128] + vX_[1548] * vX_[148]) + vX_[3488];
+ vX_[1331] = (vX_[1427] * vX_[128] + vX_[1446] * vX_[148]) * -1;
+ vX_[1550] = vX_[1331] + vX_[578] * vX_[164];
+ vX_[1558] = 0 - vX_[1550];
+ vX_[1714] = 0 - (vX_[3411] * vX_[128] + vX_[1466] * vX_[148]) + vX_[3411] * vX_[157] * -1 * 2.;
+ vX_[2459] = 0 - vX_[1714];
+ vX_[2583] = vX_[3411] * vX_[148] + vX_[1466] * vX_[157] + vX_[3411] * vX_[148] * -1 * 2.;
+ vX_[773] = 0 - vX_[2583];
+ vX_[2647] = 0 - vX_[2651];
+ vX_[1331] = vX_[3489] * vX_[148] + vX_[1548] * vX_[157] + vX_[1331];
+ vX_[2368] = 0 - vX_[1904];
+ vX_[2938] = 0 - vX_[2651];
+ jac[498] = 0 - (vX_[3385] * vX_[896] + vX_[3409] * vX_[921] + vX_[2334] * vX_[924] + vX_[2413] * vX_[926] + vX_[971] * vX_[204] + vX_[1247] * vX_[202] + vX_[1671] * vX_[203] + vX_[1199] * vX_[173] + vX_[1427] * vX_[161] + vX_[1604] * vX_[150] + vX_[1298] * vX_[227] + vX_[1446] * vX_[216] + vX_[2011] * vX_[156] + vX_[753] * vX_[228] + vX_[2607] * vX_[155] + vX_[1901] * vX_[149] + vX_[1077] * vX_[154] + vX_[3357] * vX_[147] + vX_[3489] * vX_[166] + vX_[1548] * vX_[162] + vX_[404] * vX_[192] + vX_[1792] * vX_[190] + vX_[3411] * vX_[540] + vX_[3411] * vX_[217] + vX_[1466] * vX_[219] + vX_[387] * vX_[144] + vX_[1324] * vX_[189] + (vX_[1904] * vX_[165] + vX_[3303] * vX_[175] + vX_[1106] * vX_[160] + vX_[458] * vX_[171] + (vX_[3488] + vX_[1106] * vX_[159]) * 4.027 + vX_[1558] * vX_[173] + vX_[2459] * vX_[155] + vX_[773] * vX_[154] + vX_[1904] * vX_[142] + vX_[1106] * vX_[191]) * -0.08 + vX_[1174] * vX_[815] + vX_[1196] * vX_[894] + vX_[1112] * vX_[813] + vX_[1549] * vX_[884] + (vX_[3035] * vX_[896] + vX_[1174] * vX_[882]) * -0.08) * vX_[3638] + (vX_[3385] * vX_[921] + vX_[2334] * vX_[926] + vX_[971] * vX_[202] + vX_[1671] * vX_[173] + vX_[1199] * vX_[201] + vX_[1427] * vX_[216] + vX_[1298] * vX_[228] + vX_[2011] * vX_[150] + vX_[2607] * vX_[154] + vX_[1901] * vX_[147] + vX_[3489] * vX_[162] + vX_[404] * vX_[190] + vX_[3411] * vX_[219] + vX_[387] * vX_[189] + vX_[1324] * vX_[186] + vX_[1196] * vX_[815] + vX_[1549] * vX_[813] - (vX_[3409] * vX_[896] + vX_[1174] * vX_[894]) + (vX_[3035] * vX_[921] + (vX_[578] * vX_[174] + vX_[2647] * vX_[165] + vX_[2558] * vX_[173] + vX_[1550] * vX_[172] + (0 - (vX_[1331] + vX_[1904] * vX_[159] + vX_[2647] * vX_[164])) * 4.027 + vX_[1714] * vX_[149] + vX_[2583] * vX_[147] + vX_[2368] * vX_[151] + vX_[2938] * vX_[185]) * -1 + vX_[1196] * vX_[882]) * -0.08 - (vX_[2413] * vX_[924] + vX_[1247] * vX_[204] + vX_[1604] * vX_[156] + vX_[1446] * vX_[161] + vX_[753] * vX_[227] + vX_[1077] * vX_[155] + vX_[3357] * vX_[149] + vX_[1548] * vX_[166] + vX_[1792] * vX_[192] + vX_[3411] * vX_[218] + vX_[1466] * vX_[217] + vX_[1112] * vX_[884])) * vX_[268];
+ vX_[2647] = vX_[1907] + vX_[764];
+ vX_[2529] = vX_[2800] + vX_[2529] * vX_[197] + vX_[2540] * vX_[211];
+ vX_[2765] = vX_[2800] + vX_[2096] * vX_[211] + vX_[2765] * vX_[209];
+ vX_[2099] = vX_[2844] + vX_[2851] + vX_[2800] - vX_[2529] - vX_[2765] + vX_[1641] * vX_[198] + vX_[2099] * vX_[127];
+ vX_[2765] = vX_[2765] + vX_[2207] * vX_[127] + vX_[1822] * vX_[213] + vX_[1337] * vX_[933];
+ vX_[2207] = vX_[2099] - vX_[2765];
+ vX_[2211] = vX_[2377] * vX_[197] + vX_[2211] * vX_[211] + vX_[2343] * vX_[213] + vX_[1879] * vX_[198] + vX_[1863] * vX_[127] + vX_[1645] * vX_[933];
+ vX_[1863] = vX_[2207] * vX_[148] + vX_[2211] * vX_[157];
+ vX_[1879] = vX_[2207] * vX_[128] + vX_[2211] * vX_[148];
+ vX_[2618] = vX_[1639] + vX_[2618] * vX_[127] + vX_[1456] * vX_[198] * 2. + vX_[1645] * vX_[929];
+ vX_[1639] = 0 - vX_[2211];
+ vX_[1783] = 0 - (vX_[2096] * vX_[197] + vX_[2540] * vX_[209] + vX_[2599] * vX_[211] + vX_[775] * vX_[127] + vX_[1783] * vX_[198] + vX_[2457] * vX_[213] + vX_[467] * vX_[933] + vX_[1337] * vX_[932]);
+ vX_[2599] = 0 - vX_[2765];
+ vX_[2641] = vX_[1837] + vX_[2641] * vX_[127] + vX_[2762] * vX_[213] * 2. + vX_[1337] * vX_[929] + vX_[1336] * vX_[933];
+ vX_[2762] = 0 - vX_[2641];
+ vX_[2426] = vX_[1756] + vX_[2136] * vX_[127] + vX_[2426] * vX_[213] + vX_[1337] * vX_[930] + vX_[781] * vX_[933];
+ vX_[1756] = 0 - vX_[2426];
+ vX_[2136] = (vX_[2599] * vX_[158] + vX_[2762] * vX_[220] + vX_[1756] * vX_[229]) * 1 / vX_[194];
+ vX_[2599] = vX_[2730] * vX_[1413] + vX_[1078] * vX_[920] + vX_[1639] * vX_[207] + vX_[1783] * vX_[195] + vX_[2599] * vX_[223] + vX_[2136];
+ vX_[3061] = vX_[1769] + vX_[2053] * vX_[198] + vX_[3061] * vX_[127] * 2. + vX_[1645] * vX_[930];
+ vX_[2099] = 0 - vX_[2099];
+ vX_[2315] = 0 - (0 - (vX_[2377] * vX_[211] + vX_[2315] * vX_[209]) + vX_[1789] * vX_[213] + vX_[1978] * vX_[127] + vX_[2179] * vX_[198] + vX_[1645] * vX_[932]);
+ vX_[2179] = 0 - vX_[2618];
+ vX_[2377] = 0 - vX_[3061];
+ vX_[1639] = (vX_[2099] * vX_[206] + vX_[2315] * vX_[168] + vX_[1639] * vX_[158] + vX_[2179] * vX_[220] + vX_[2377] * vX_[229]) * 1 / vX_[194];
+ vX_[2099] = vX_[2570] * vX_[1742] + vX_[1066] * vX_[920] + vX_[2099] * vX_[207] + vX_[1639];
+ vX_[2570] = vX_[2599] * vX_[157] + vX_[2099] * vX_[148];
+ vX_[1978] = vX_[2599] * vX_[148] + vX_[2099] * vX_[128];
+ vX_[1789] = vX_[3061] * vX_[148] + vX_[2426] * vX_[157];
+ vX_[1769] = vX_[3061] * vX_[128] + vX_[2426] * vX_[148];
+ vX_[1842] = vX_[1799] + vX_[1842] * vX_[198] + vX_[338] * vX_[213] * 2. + vX_[467] * vX_[930] + vX_[781] * vX_[932];
+ vX_[1799] = vX_[2641] - vX_[1842];
+ vX_[2529] = 0 - (vX_[2529] + vX_[2184] * vX_[198] + vX_[1867] * vX_[213] + vX_[467] * vX_[932]);
+ vX_[2033] = 0 - (vX_[2033] + vX_[2030] * vX_[198] + vX_[2053] * vX_[213] + vX_[467] * vX_[929] + vX_[1336] * vX_[932]);
+ vX_[1842] = 0 - vX_[1842];
+ vX_[1783] = (vX_[2529] * vX_[168] + vX_[1783] * vX_[158] + vX_[2033] * vX_[220] + vX_[1842] * vX_[229]) * 1 / vX_[194];
+ vX_[2529] = 0 - vX_[2618] + vX_[2740] * vX_[2639] + vX_[3275] * vX_[920] + vX_[2315] * vX_[207] + vX_[2529] * vX_[195] + vX_[1783];
+ vX_[338] = vX_[338] + vX_[781] * vX_[930];
+ vX_[1456] = vX_[1456] + vX_[1336] * vX_[929];
+ vX_[2315] = 0 - vX_[1456];
+ vX_[2053] = vX_[2053] + vX_[1336] * vX_[930] + vX_[781] * vX_[929];
+ vX_[2740] = 0 - vX_[2053];
+ vX_[2030] = (vX_[2315] * vX_[220] + vX_[2740] * vX_[229]) * 1 / vX_[194];
+ vX_[467] = 0 - vX_[338];
+ vX_[2184] = vX_[467] * vX_[229] * 1 / vX_[194];
+ vX_[1783] = 0 - vX_[2780] * vX_[764] + vX_[2749] * vX_[1907] - vX_[1066] * vX_[947] - vX_[3275] * vX_[885] - vX_[1078] * vX_[936] - vX_[1248] * vX_[948] + vX_[1248] * vX_[920] - vX_[2178] * vX_[923] - vX_[683] * vX_[939] - vX_[1639] * vX_[207] - vX_[1783] * vX_[195] - vX_[2136] * vX_[223] - vX_[2030] * vX_[487] - vX_[2184] * vX_[496];
+ vX_[1639] = 0 - vX_[338] + vX_[1783];
+ vX_[2184] = vX_[2745] * vX_[2642] + vX_[683] * vX_[920] + vX_[2377] * vX_[207] + vX_[1842] * vX_[195] + vX_[1756] * vX_[223] + vX_[2740] * vX_[487] + vX_[467] * vX_[496] + vX_[2184];
+ vX_[2030] = vX_[2747] * vX_[1610] + vX_[2178] * vX_[920] + vX_[2179] * vX_[207] + vX_[2033] * vX_[195] + vX_[2762] * vX_[223] + vX_[2315] * vX_[487] + vX_[2030];
+ vX_[2315] = vX_[1639] * vX_[148] + vX_[2184] * vX_[157];
+ vX_[2033] = vX_[1639] * vX_[128] + vX_[2184] * vX_[148];
+ vX_[2179] = vX_[2315] * vX_[128] + vX_[2033] * vX_[148];
+ vX_[2762] = vX_[338] + vX_[2315] * vX_[148];
+ vX_[2178] = vX_[338] + vX_[2033] * vX_[128];
+ vX_[1783] = vX_[1456] + vX_[338] + vX_[1783] - vX_[2762] - vX_[2178];
+ vX_[1456] = 0 - vX_[1783];
+ vX_[338] = (vX_[2618] * vX_[148] + vX_[2641] * vX_[157]) * -1;
+ vX_[2747] = vX_[338] + vX_[1456] * vX_[159];
+ vX_[467] = 0 - vX_[2747];
+ vX_[338] = 0 - (vX_[1799] * vX_[128] + vX_[2529] * vX_[148]) + vX_[338];
+ vX_[2740] = (vX_[2618] * vX_[128] + vX_[2641] * vX_[148]) * -1;
+ vX_[1842] = vX_[2740] + vX_[1783] * vX_[164];
+ vX_[2377] = 0 - vX_[1842];
+ vX_[1756] = 0 - (vX_[2053] * vX_[128] + vX_[2030] * vX_[148]) + vX_[2053] * vX_[157] * -1 * 2.;
+ vX_[683] = 0 - vX_[1756];
+ vX_[2745] = vX_[2053] * vX_[148] + vX_[2030] * vX_[157] + vX_[2053] * vX_[148] * -1 * 2.;
+ vX_[2136] = 0 - vX_[2745];
+ vX_[1248] = 0 - vX_[2178];
+ vX_[2740] = vX_[1799] * vX_[148] + vX_[2529] * vX_[157] + vX_[2740];
+ vX_[1078] = 0 - vX_[2179];
+ vX_[3275] = 0 - vX_[2178];
+ jac[499] = 0 - (vX_[2715] * vX_[1742] + vX_[2710] * vX_[1413] + vX_[2784] * vX_[2647] + vX_[2627] * vX_[2642] + vX_[1645] * vX_[896] + vX_[1337] * vX_[921] + vX_[3412] * vX_[924] + vX_[781] * vX_[926] + vX_[2207] * vX_[204] + vX_[2211] * vX_[202] + vX_[1863] * vX_[203] + vX_[1879] * vX_[173] + vX_[2618] * vX_[161] + vX_[2599] * vX_[150] + vX_[3061] * vX_[227] + vX_[2641] * vX_[216] + vX_[2099] * vX_[156] + vX_[2426] * vX_[228] + vX_[2570] * vX_[155] + vX_[1978] * vX_[149] + vX_[1789] * vX_[154] + vX_[1769] * vX_[147] + vX_[1799] * vX_[166] + vX_[2529] * vX_[162] + vX_[1639] * vX_[192] + vX_[2184] * vX_[190] + vX_[2053] * vX_[540] + vX_[2053] * vX_[217] + vX_[2030] * vX_[219] + vX_[2315] * vX_[144] + vX_[2033] * vX_[189] + (vX_[2179] * vX_[165] + vX_[1456] * vX_[175] + vX_[2762] * vX_[160] + vX_[467] * vX_[171] + (vX_[338] + vX_[2762] * vX_[159]) * 4.027 + vX_[2377] * vX_[173] + vX_[683] * vX_[155] + vX_[2136] * vX_[154] + vX_[2179] * vX_[142] + vX_[2762] * vX_[191]) * -0.08 + vX_[2648] * vX_[815] + vX_[2101] * vX_[894] + vX_[2797] * vX_[813] + vX_[2644] * vX_[884] + (vX_[2715] * vX_[1610] + vX_[1336] * vX_[896] + vX_[2648] * vX_[882]) * -0.08) * vX_[3638] + (vX_[2710] * vX_[1742] + vX_[2627] * vX_[2647] + vX_[1645] * vX_[921] + vX_[3412] * vX_[926] + vX_[2207] * vX_[202] + vX_[1863] * vX_[173] + vX_[1879] * vX_[201] + vX_[2618] * vX_[216] + vX_[3061] * vX_[228] + vX_[2099] * vX_[150] + vX_[2570] * vX_[154] + vX_[1978] * vX_[147] + vX_[1799] * vX_[162] + vX_[1639] * vX_[190] + vX_[2053] * vX_[219] + vX_[2315] * vX_[189] + vX_[2033] * vX_[186] + vX_[2101] * vX_[815] + vX_[2644] * vX_[813] - (vX_[2715] * vX_[1413] + vX_[1337] * vX_[896] + vX_[2648] * vX_[894]) + (vX_[2710] * vX_[1610] + vX_[1336] * vX_[921] + (vX_[1783] * vX_[174] + vX_[1248] * vX_[165] + vX_[2747] * vX_[173] + vX_[1842] * vX_[172] + (0 - (vX_[2740] + vX_[2179] * vX_[159] + vX_[1248] * vX_[164])) * 4.027 + vX_[1756] * vX_[149] + vX_[2745] * vX_[147] + vX_[1078] * vX_[151] + vX_[3275] * vX_[185]) * -1 + vX_[2101] * vX_[882]) * -0.08 - (vX_[2784] * vX_[2642] + vX_[781] * vX_[924] + vX_[2211] * vX_[204] + vX_[2599] * vX_[156] + vX_[2641] * vX_[161] + vX_[2426] * vX_[227] + vX_[1789] * vX_[155] + vX_[1769] * vX_[149] + vX_[2529] * vX_[166] + vX_[2184] * vX_[192] + vX_[2053] * vX_[218] + vX_[2030] * vX_[217] + vX_[2797] * vX_[884])) * vX_[268];
+ vX_[3356] = vX_[2950] + vX_[3356] * vX_[197] + vX_[3260] * vX_[211];
+ vX_[3202] = vX_[2950] + vX_[445] * vX_[211] + vX_[3202] * vX_[209];
+ vX_[444] = vX_[2994] + vX_[3001] + vX_[2950] - vX_[3356] - vX_[3202] + vX_[783] * vX_[198] + vX_[444] * vX_[127];
+ vX_[3202] = vX_[3202] + vX_[3347] * vX_[127] + vX_[370] * vX_[213] + vX_[3055] * vX_[933];
+ vX_[3347] = vX_[444] - vX_[3202];
+ vX_[705] = vX_[3471] * vX_[197] + vX_[705] * vX_[211] + vX_[582] * vX_[213] + vX_[2824] * vX_[198] + vX_[2870] * vX_[127] + vX_[2563] * vX_[933];
+ vX_[2870] = vX_[3347] * vX_[148] + vX_[705] * vX_[157];
+ vX_[2824] = vX_[3347] * vX_[128] + vX_[705] * vX_[148];
+ vX_[3380] = vX_[369] + vX_[3380] * vX_[127] + vX_[2829] * vX_[198] * 2. + vX_[2563] * vX_[929];
+ vX_[369] = 0 - vX_[705];
+ vX_[1468] = 0 - (vX_[445] * vX_[197] + vX_[3260] * vX_[209] + vX_[378] * vX_[211] + vX_[2756] * vX_[127] + vX_[1468] * vX_[198] + vX_[2814] * vX_[213] + vX_[2100] * vX_[933] + vX_[3055] * vX_[932]);
+ vX_[378] = 0 - vX_[3202];
+ vX_[2970] = vX_[2621] + vX_[2970] * vX_[127] + vX_[2763] * vX_[213] * 2. + vX_[3055] * vX_[929] + vX_[2822] * vX_[933];
+ vX_[2763] = 0 - vX_[2970];
+ vX_[2946] = vX_[3147] + vX_[2917] * vX_[127] + vX_[2946] * vX_[213] + vX_[3055] * vX_[930] + vX_[1597] * vX_[933];
+ vX_[3147] = 0 - vX_[2946];
+ vX_[2917] = (vX_[378] * vX_[158] + vX_[2763] * vX_[220] + vX_[3147] * vX_[229]) * 1 / vX_[194];
+ vX_[378] = vX_[2803] * vX_[1413] + vX_[1733] * vX_[920] + vX_[369] * vX_[207] + vX_[1468] * vX_[195] + vX_[378] * vX_[223] + vX_[2917];
+ vX_[3391] = vX_[3448] + vX_[3387] * vX_[198] + vX_[3391] * vX_[127] * 2. + vX_[2563] * vX_[930];
+ vX_[444] = 0 - vX_[444];
+ vX_[720] = 0 - (0 - (vX_[3471] * vX_[211] + vX_[720] * vX_[209]) + vX_[3208] * vX_[213] + vX_[734] * vX_[127] + vX_[3199] * vX_[198] + vX_[2563] * vX_[932]);
+ vX_[3199] = 0 - vX_[3380];
+ vX_[3471] = 0 - vX_[3391];
+ vX_[369] = (vX_[444] * vX_[206] + vX_[720] * vX_[168] + vX_[369] * vX_[158] + vX_[3199] * vX_[220] + vX_[3471] * vX_[229]) * 1 / vX_[194];
+ vX_[444] = vX_[2768] * vX_[1742] + vX_[1914] * vX_[920] + vX_[444] * vX_[207] + vX_[369];
+ vX_[2768] = vX_[378] * vX_[157] + vX_[444] * vX_[148];
+ vX_[734] = vX_[378] * vX_[148] + vX_[444] * vX_[128];
+ vX_[3208] = vX_[3391] * vX_[148] + vX_[2946] * vX_[157];
+ vX_[3448] = vX_[3391] * vX_[128] + vX_[2946] * vX_[148];
+ vX_[3005] = vX_[2670] + vX_[3005] * vX_[198] + vX_[1069] * vX_[213] * 2. + vX_[2100] * vX_[930] + vX_[1597] * vX_[932];
+ vX_[2670] = vX_[2970] - vX_[3005];
+ vX_[3356] = 0 - (vX_[3356] + vX_[2968] * vX_[198] + vX_[2760] * vX_[213] + vX_[2100] * vX_[932]);
+ vX_[2816] = 0 - (vX_[2816] + vX_[2936] * vX_[198] + vX_[3387] * vX_[213] + vX_[2100] * vX_[929] + vX_[2822] * vX_[932]);
+ vX_[3005] = 0 - vX_[3005];
+ vX_[1468] = (vX_[3356] * vX_[168] + vX_[1468] * vX_[158] + vX_[2816] * vX_[220] + vX_[3005] * vX_[229]) * 1 / vX_[194];
+ vX_[3356] = 0 - vX_[3380] + vX_[2902] * vX_[2639] + vX_[1939] * vX_[920] + vX_[720] * vX_[207] + vX_[3356] * vX_[195] + vX_[1468];
+ vX_[1069] = vX_[1069] + vX_[1597] * vX_[930];
+ vX_[2829] = vX_[2829] + vX_[2822] * vX_[929];
+ vX_[720] = 0 - vX_[2829];
+ vX_[3387] = vX_[3387] + vX_[2822] * vX_[930] + vX_[1597] * vX_[929];
+ vX_[2639] = 0 - vX_[3387];
+ vX_[2902] = (vX_[720] * vX_[220] + vX_[2639] * vX_[229]) * 1 / vX_[194];
+ vX_[2936] = 0 - vX_[1069];
+ vX_[2100] = vX_[2936] * vX_[229] * 1 / vX_[194];
+ vX_[1468] = 0 - vX_[2890] * vX_[764] + vX_[2898] * vX_[1907] - vX_[1914] * vX_[947] - vX_[1939] * vX_[885] - vX_[1733] * vX_[936] - vX_[1817] * vX_[948] + vX_[1817] * vX_[920] - vX_[1729] * vX_[923] - vX_[1724] * vX_[939] - vX_[369] * vX_[207] - vX_[1468] * vX_[195] - vX_[2917] * vX_[223] - vX_[2902] * vX_[487] - vX_[2100] * vX_[496];
+ vX_[369] = 0 - vX_[1069] + vX_[1468];
+ vX_[2100] = vX_[2895] * vX_[2642] + vX_[1724] * vX_[920] + vX_[3471] * vX_[207] + vX_[3005] * vX_[195] + vX_[3147] * vX_[223] + vX_[2639] * vX_[487] + vX_[2936] * vX_[496] + vX_[2100];
+ vX_[2902] = vX_[2896] * vX_[1610] + vX_[1729] * vX_[920] + vX_[3199] * vX_[207] + vX_[2816] * vX_[195] + vX_[2763] * vX_[223] + vX_[720] * vX_[487] + vX_[2902];
+ vX_[720] = vX_[369] * vX_[148] + vX_[2100] * vX_[157];
+ vX_[2816] = vX_[369] * vX_[128] + vX_[2100] * vX_[148];
+ vX_[3199] = vX_[720] * vX_[128] + vX_[2816] * vX_[148];
+ vX_[2763] = vX_[1069] + vX_[720] * vX_[148];
+ vX_[1729] = vX_[1069] + vX_[2816] * vX_[128];
+ vX_[1468] = vX_[2829] + vX_[1069] + vX_[1468] - vX_[2763] - vX_[1729];
+ vX_[2829] = 0 - vX_[1468];
+ vX_[1069] = (vX_[3380] * vX_[148] + vX_[2970] * vX_[157]) * -1;
+ vX_[2896] = vX_[1069] + vX_[2829] * vX_[159];
+ vX_[2936] = 0 - vX_[2896];
+ vX_[1069] = 0 - (vX_[2670] * vX_[128] + vX_[3356] * vX_[148]) + vX_[1069];
+ vX_[2639] = (vX_[3380] * vX_[128] + vX_[2970] * vX_[148]) * -1;
+ vX_[3005] = vX_[2639] + vX_[1468] * vX_[164];
+ vX_[3471] = 0 - vX_[3005];
+ vX_[3147] = 0 - (vX_[3387] * vX_[128] + vX_[2902] * vX_[148]) + vX_[3387] * vX_[157] * -1 * 2.;
+ vX_[1724] = 0 - vX_[3147];
+ vX_[2895] = vX_[3387] * vX_[148] + vX_[2902] * vX_[157] + vX_[3387] * vX_[148] * -1 * 2.;
+ vX_[2917] = 0 - vX_[2895];
+ vX_[764] = 0 - vX_[1729];
+ vX_[2639] = vX_[2670] * vX_[148] + vX_[3356] * vX_[157] + vX_[2639];
+ vX_[1817] = 0 - vX_[3199];
+ vX_[1733] = 0 - vX_[1729];
+ jac[500] = 0 - (vX_[2875] * vX_[1742] + vX_[2880] * vX_[1413] + vX_[2682] * vX_[2647] + vX_[2931] * vX_[2642] + vX_[2563] * vX_[896] + vX_[3055] * vX_[921] + vX_[1916] * vX_[924] + vX_[1597] * vX_[926] + vX_[3347] * vX_[204] + vX_[705] * vX_[202] + vX_[2870] * vX_[203] + vX_[2824] * vX_[173] + vX_[3380] * vX_[161] + vX_[378] * vX_[150] + vX_[3391] * vX_[227] + vX_[2970] * vX_[216] + vX_[444] * vX_[156] + vX_[2946] * vX_[228] + vX_[2768] * vX_[155] + vX_[734] * vX_[149] + vX_[3208] * vX_[154] + vX_[3448] * vX_[147] + vX_[2670] * vX_[166] + vX_[3356] * vX_[162] + vX_[369] * vX_[192] + vX_[2100] * vX_[190] + vX_[3387] * vX_[540] + vX_[3387] * vX_[217] + vX_[2902] * vX_[219] + vX_[720] * vX_[144] + vX_[2816] * vX_[189] + (vX_[3199] * vX_[165] + vX_[2829] * vX_[175] + vX_[2763] * vX_[160] + vX_[2936] * vX_[171] + (vX_[1069] + vX_[2763] * vX_[159]) * 4.027 + vX_[3471] * vX_[173] + vX_[1724] * vX_[155] + vX_[2917] * vX_[154] + vX_[3199] * vX_[142] + vX_[2763] * vX_[191]) * -0.08 + vX_[3377] * vX_[815] + vX_[3266] * vX_[894] + vX_[3615] * vX_[813] + vX_[3508] * vX_[884] + (vX_[2875] * vX_[1610] + vX_[2822] * vX_[896] + vX_[3377] * vX_[882]) * -0.08) * vX_[3638] + (vX_[2880] * vX_[1742] + vX_[2931] * vX_[2647] + vX_[2563] * vX_[921] + vX_[1916] * vX_[926] + vX_[3347] * vX_[202] + vX_[2870] * vX_[173] + vX_[2824] * vX_[201] + vX_[3380] * vX_[216] + vX_[3391] * vX_[228] + vX_[444] * vX_[150] + vX_[2768] * vX_[154] + vX_[734] * vX_[147] + vX_[2670] * vX_[162] + vX_[369] * vX_[190] + vX_[3387] * vX_[219] + vX_[720] * vX_[189] + vX_[2816] * vX_[186] + vX_[3266] * vX_[815] + vX_[3508] * vX_[813] - (vX_[2875] * vX_[1413] + vX_[3055] * vX_[896] + vX_[3377] * vX_[894]) + (vX_[2880] * vX_[1610] + vX_[2822] * vX_[921] + (vX_[1468] * vX_[174] + vX_[764] * vX_[165] + vX_[2896] * vX_[173] + vX_[3005] * vX_[172] + (0 - (vX_[2639] + vX_[3199] * vX_[159] + vX_[764] * vX_[164])) * 4.027 + vX_[3147] * vX_[149] + vX_[2895] * vX_[147] + vX_[1817] * vX_[151] + vX_[1733] * vX_[185]) * -1 + vX_[3266] * vX_[882]) * -0.08 - (vX_[2682] * vX_[2642] + vX_[1597] * vX_[924] + vX_[705] * vX_[204] + vX_[378] * vX_[156] + vX_[2970] * vX_[161] + vX_[2946] * vX_[227] + vX_[3208] * vX_[155] + vX_[3448] * vX_[149] + vX_[3356] * vX_[166] + vX_[2100] * vX_[192] + vX_[3387] * vX_[218] + vX_[2902] * vX_[217] + vX_[3615] * vX_[884])) * vX_[268];
+ vX_[333] = vX_[2834] + vX_[333] * vX_[197] + vX_[286] * vX_[211];
+ vX_[332] = vX_[2834] + vX_[340] * vX_[211] + vX_[332] * vX_[209];
+ vX_[507] = vX_[3136] + vX_[3143] + vX_[2834] - vX_[333] - vX_[332] + vX_[1453] * vX_[198] + vX_[507] * vX_[127];
+ vX_[332] = vX_[332] + vX_[1060] * vX_[127] + vX_[3551] * vX_[213] + vX_[3386] * vX_[933];
+ vX_[1060] = vX_[507] - vX_[332];
+ vX_[324] = vX_[343] * vX_[197] + vX_[324] * vX_[211] + vX_[3512] * vX_[213] + vX_[3531] * vX_[198] + vX_[673] * vX_[127] + vX_[3273] * vX_[933];
+ vX_[673] = vX_[1060] * vX_[148] + vX_[324] * vX_[157];
+ vX_[3531] = vX_[1060] * vX_[128] + vX_[324] * vX_[148];
+ vX_[339] = vX_[3642] + vX_[339] * vX_[127] + vX_[3635] * vX_[198] * 2. + vX_[3273] * vX_[929];
+ vX_[3642] = 0 - vX_[324];
+ vX_[1983] = 0 - (vX_[340] * vX_[197] + vX_[286] * vX_[209] + vX_[327] * vX_[211] + vX_[2743] * vX_[127] + vX_[1983] * vX_[198] + vX_[671] * vX_[213] + vX_[3090] * vX_[933] + vX_[3386] * vX_[932]);
+ vX_[327] = 0 - vX_[332];
+ vX_[499] = vX_[3517] + vX_[499] * vX_[127] + vX_[233] * vX_[213] * 2. + vX_[3386] * vX_[929] + vX_[2977] * vX_[933];
+ vX_[233] = 0 - vX_[499];
+ vX_[123] = vX_[672] + vX_[1017] * vX_[127] + vX_[123] * vX_[213] + vX_[3386] * vX_[930] + vX_[3487] * vX_[933];
+ vX_[672] = 0 - vX_[123];
+ vX_[1017] = (vX_[327] * vX_[158] + vX_[233] * vX_[220] + vX_[672] * vX_[229]) * 1 / vX_[194];
+ vX_[327] = vX_[2786] * vX_[920] + vX_[3642] * vX_[207] + vX_[1983] * vX_[195] + vX_[327] * vX_[223] + vX_[1017];
+ vX_[350] = vX_[1767] + vX_[1609] * vX_[198] + vX_[350] * vX_[127] * 2. + vX_[3273] * vX_[930];
+ vX_[507] = 0 - vX_[507];
+ vX_[342] = 0 - (0 - (vX_[343] * vX_[211] + vX_[342] * vX_[209]) + vX_[3594] * vX_[213] + vX_[505] * vX_[127] + vX_[503] * vX_[198] + vX_[3273] * vX_[932]);
+ vX_[503] = 0 - vX_[339];
+ vX_[343] = 0 - vX_[350];
+ vX_[3642] = (vX_[507] * vX_[206] + vX_[342] * vX_[168] + vX_[3642] * vX_[158] + vX_[503] * vX_[220] + vX_[343] * vX_[229]) * 1 / vX_[194];
+ vX_[507] = vX_[2961] * vX_[920] + vX_[507] * vX_[207] + vX_[3642];
+ vX_[505] = vX_[327] * vX_[157] + vX_[507] * vX_[148];
+ vX_[3594] = vX_[327] * vX_[148] + vX_[507] * vX_[128];
+ vX_[1767] = vX_[350] * vX_[148] + vX_[123] * vX_[157];
+ vX_[3517] = vX_[350] * vX_[128] + vX_[123] * vX_[148];
+ vX_[675] = vX_[746] + vX_[675] * vX_[198] + vX_[1296] * vX_[213] * 2. + vX_[3090] * vX_[930] + vX_[3487] * vX_[932];
+ vX_[746] = vX_[499] - vX_[675];
+ vX_[333] = 0 - (vX_[333] + vX_[593] * vX_[198] + vX_[987] * vX_[213] + vX_[3090] * vX_[932]);
+ vX_[982] = 0 - (vX_[982] + vX_[3529] * vX_[198] + vX_[1609] * vX_[213] + vX_[3090] * vX_[929] + vX_[2977] * vX_[932]);
+ vX_[675] = 0 - vX_[675];
+ vX_[1983] = (vX_[333] * vX_[168] + vX_[1983] * vX_[158] + vX_[982] * vX_[220] + vX_[675] * vX_[229]) * 1 / vX_[194];
+ vX_[333] = 0 - vX_[339] + vX_[2609] * vX_[920] + vX_[342] * vX_[207] + vX_[333] * vX_[195] + vX_[1983];
+ vX_[1296] = vX_[1296] + vX_[3487] * vX_[930];
+ vX_[3635] = vX_[3635] + vX_[2977] * vX_[929];
+ vX_[342] = 0 - vX_[3635];
+ vX_[1609] = vX_[1609] + vX_[2977] * vX_[930] + vX_[3487] * vX_[929];
+ vX_[3529] = 0 - vX_[1609];
+ vX_[3090] = (vX_[342] * vX_[220] + vX_[3529] * vX_[229]) * 1 / vX_[194];
+ vX_[593] = 0 - vX_[1296];
+ vX_[987] = vX_[593] * vX_[229] * 1 / vX_[194];
+ vX_[1983] = 0 - vX_[2961] * vX_[947] - vX_[2609] * vX_[885] - vX_[2786] * vX_[936] - vX_[2823] * vX_[948] + vX_[2823] * vX_[920] - vX_[3440] * vX_[923] - vX_[741] * vX_[939] - vX_[3642] * vX_[207] - vX_[1983] * vX_[195] - vX_[1017] * vX_[223] - vX_[3090] * vX_[487] - vX_[987] * vX_[496];
+ vX_[3642] = 0 - vX_[1296] + vX_[1983];
+ vX_[987] = vX_[741] * vX_[920] + vX_[343] * vX_[207] + vX_[675] * vX_[195] + vX_[672] * vX_[223] + vX_[3529] * vX_[487] + vX_[593] * vX_[496] + vX_[987];
+ vX_[3090] = vX_[3440] * vX_[920] + vX_[503] * vX_[207] + vX_[982] * vX_[195] + vX_[233] * vX_[223] + vX_[342] * vX_[487] + vX_[3090];
+ vX_[342] = vX_[3642] * vX_[148] + vX_[987] * vX_[157];
+ vX_[982] = vX_[3642] * vX_[128] + vX_[987] * vX_[148];
+ vX_[503] = vX_[342] * vX_[128] + vX_[982] * vX_[148];
+ vX_[233] = vX_[1296] + vX_[342] * vX_[148];
+ vX_[3440] = vX_[1296] + vX_[982] * vX_[128];
+ vX_[1983] = vX_[3635] + vX_[1296] + vX_[1983] - vX_[233] - vX_[3440];
+ vX_[3635] = 0 - vX_[1983];
+ vX_[1296] = (vX_[339] * vX_[148] + vX_[499] * vX_[157]) * -1;
+ vX_[593] = vX_[1296] + vX_[3635] * vX_[159];
+ vX_[3529] = 0 - vX_[593];
+ vX_[1296] = 0 - (vX_[746] * vX_[128] + vX_[333] * vX_[148]) + vX_[1296];
+ vX_[675] = (vX_[339] * vX_[128] + vX_[499] * vX_[148]) * -1;
+ vX_[343] = vX_[675] + vX_[1983] * vX_[164];
+ vX_[672] = 0 - vX_[343];
+ vX_[741] = 0 - (vX_[1609] * vX_[128] + vX_[3090] * vX_[148]) + vX_[1609] * vX_[157] * -1 * 2.;
+ vX_[1017] = 0 - vX_[741];
+ vX_[2823] = vX_[1609] * vX_[148] + vX_[3090] * vX_[157] + vX_[1609] * vX_[148] * -1 * 2.;
+ vX_[2786] = 0 - vX_[2823];
+ vX_[2609] = 0 - vX_[3440];
+ vX_[675] = vX_[746] * vX_[148] + vX_[333] * vX_[157] + vX_[675];
+ vX_[2961] = 0 - vX_[503];
+ vX_[286] = 0 - vX_[3440];
+ jac[501] = 0 - (vX_[3273] * vX_[896] + vX_[3386] * vX_[921] + vX_[3258] * vX_[924] + vX_[3487] * vX_[926] + vX_[1060] * vX_[204] + vX_[324] * vX_[202] + vX_[673] * vX_[203] + vX_[3531] * vX_[173] + vX_[339] * vX_[161] + vX_[327] * vX_[150] + vX_[350] * vX_[227] + vX_[499] * vX_[216] + vX_[507] * vX_[156] + vX_[123] * vX_[228] + vX_[505] * vX_[155] + vX_[3594] * vX_[149] + vX_[1767] * vX_[154] + vX_[3517] * vX_[147] + vX_[746] * vX_[166] + vX_[333] * vX_[162] + vX_[3642] * vX_[192] + vX_[987] * vX_[190] + vX_[1609] * vX_[540] + vX_[1609] * vX_[217] + vX_[3090] * vX_[219] + vX_[342] * vX_[144] + vX_[982] * vX_[189] + (vX_[503] * vX_[165] + vX_[3635] * vX_[175] + vX_[233] * vX_[160] + vX_[3529] * vX_[171] + (vX_[1296] + vX_[233] * vX_[159]) * 4.027 + vX_[672] * vX_[173] + vX_[1017] * vX_[155] + vX_[2786] * vX_[154] + vX_[503] * vX_[142] + vX_[233] * vX_[191]) * -0.08 + vX_[565] * vX_[815] + vX_[563] * vX_[894] + vX_[3426] * vX_[813] + vX_[3578] * vX_[884] + (vX_[2977] * vX_[896] + vX_[565] * vX_[882]) * -0.08) * vX_[3638] + (vX_[3273] * vX_[921] + vX_[3258] * vX_[926] + vX_[1060] * vX_[202] + vX_[673] * vX_[173] + vX_[3531] * vX_[201] + vX_[339] * vX_[216] + vX_[350] * vX_[228] + vX_[507] * vX_[150] + vX_[505] * vX_[154] + vX_[3594] * vX_[147] + vX_[746] * vX_[162] + vX_[3642] * vX_[190] + vX_[1609] * vX_[219] + vX_[342] * vX_[189] + vX_[982] * vX_[186] + vX_[563] * vX_[815] + vX_[3578] * vX_[813] - (vX_[3386] * vX_[896] + vX_[565] * vX_[894]) + (vX_[2977] * vX_[921] + (vX_[1983] * vX_[174] + vX_[2609] * vX_[165] + vX_[593] * vX_[173] + vX_[343] * vX_[172] + (0 - (vX_[675] + vX_[503] * vX_[159] + vX_[2609] * vX_[164])) * 4.027 + vX_[741] * vX_[149] + vX_[2823] * vX_[147] + vX_[2961] * vX_[151] + vX_[286] * vX_[185]) * -1 + vX_[563] * vX_[882]) * -0.08 - (vX_[3487] * vX_[924] + vX_[324] * vX_[204] + vX_[327] * vX_[156] + vX_[499] * vX_[161] + vX_[123] * vX_[227] + vX_[1767] * vX_[155] + vX_[3517] * vX_[149] + vX_[333] * vX_[166] + vX_[987] * vX_[192] + vX_[1609] * vX_[218] + vX_[3090] * vX_[217] + vX_[3426] * vX_[884])) * vX_[268];
+ vX_[3687] = vX_[3213] + vX_[3687] * vX_[197] + vX_[3686] * vX_[211];
+ vX_[3688] = vX_[3213] + vX_[3685] * vX_[211] + vX_[3688] * vX_[209];
+ vX_[3673] = vX_[3288] + vX_[3295] + vX_[3213] - vX_[3687] - vX_[3688] + vX_[553] * vX_[198] + vX_[3673] * vX_[127];
+ vX_[3688] = vX_[3688] + vX_[3581] * vX_[127] + vX_[3574] * vX_[213] + vX_[348] * vX_[933];
+ vX_[3581] = vX_[3673] - vX_[3688];
+ vX_[3684] = vX_[3682] * vX_[197] + vX_[3684] * vX_[211] + vX_[307] * vX_[213] + vX_[3576] * vX_[198] + vX_[970] * vX_[127] + vX_[344] * vX_[933];
+ vX_[970] = vX_[3581] * vX_[148] + vX_[3684] * vX_[157];
+ vX_[3576] = vX_[3581] * vX_[128] + vX_[3684] * vX_[148];
+ vX_[3677] = vX_[2372] + vX_[3677] * vX_[127] + vX_[1218] * vX_[198] * 2. + vX_[344] * vX_[929];
+ vX_[2372] = 0 - vX_[3684];
+ vX_[978] = 0 - (vX_[3685] * vX_[197] + vX_[3686] * vX_[209] + vX_[3689] * vX_[211] + vX_[1940] * vX_[127] + vX_[978] * vX_[198] + vX_[1676] * vX_[213] + vX_[3527] * vX_[933] + vX_[348] * vX_[932]);
+ vX_[3689] = 0 - vX_[3688];
+ vX_[3676] = vX_[979] + vX_[3676] * vX_[127] + vX_[3648] * vX_[213] * 2. + vX_[348] * vX_[929] + vX_[349] * vX_[933];
+ vX_[3648] = 0 - vX_[3676];
+ vX_[3647] = vX_[3430] + vX_[3493] * vX_[127] + vX_[3647] * vX_[213] + vX_[348] * vX_[930] + vX_[522] * vX_[933];
+ vX_[3430] = 0 - vX_[3647];
+ vX_[3493] = (vX_[3689] * vX_[158] + vX_[3648] * vX_[220] + vX_[3430] * vX_[229]) * 1 / vX_[194];
+ vX_[3689] = vX_[3511] * vX_[920] + vX_[2372] * vX_[207] + vX_[978] * vX_[195] + vX_[3689] * vX_[223] + vX_[3493];
+ vX_[3678] = vX_[3579] + vX_[2321] * vX_[198] + vX_[3678] * vX_[127] * 2. + vX_[344] * vX_[930];
+ vX_[3673] = 0 - vX_[3673];
+ vX_[3683] = 0 - (0 - (vX_[3682] * vX_[211] + vX_[3683] * vX_[209]) + vX_[3429] * vX_[213] + vX_[3674] * vX_[127] + vX_[3675] * vX_[198] + vX_[344] * vX_[932]);
+ vX_[3675] = 0 - vX_[3677];
+ vX_[3682] = 0 - vX_[3678];
+ vX_[2372] = (vX_[3673] * vX_[206] + vX_[3683] * vX_[168] + vX_[2372] * vX_[158] + vX_[3675] * vX_[220] + vX_[3682] * vX_[229]) * 1 / vX_[194];
+ vX_[3673] = vX_[643] * vX_[920] + vX_[3673] * vX_[207] + vX_[2372];
+ vX_[3674] = vX_[3689] * vX_[157] + vX_[3673] * vX_[148];
+ vX_[3429] = vX_[3689] * vX_[148] + vX_[3673] * vX_[128];
+ vX_[3579] = vX_[3678] * vX_[148] + vX_[3647] * vX_[157];
+ vX_[979] = vX_[3678] * vX_[128] + vX_[3647] * vX_[148];
+ vX_[3568] = vX_[984] + vX_[3568] * vX_[198] + vX_[615] * vX_[213] * 2. + vX_[3527] * vX_[930] + vX_[522] * vX_[932];
+ vX_[984] = vX_[3676] - vX_[3568];
+ vX_[3687] = 0 - (vX_[3687] + vX_[3658] * vX_[198] + vX_[3570] * vX_[213] + vX_[3527] * vX_[932]);
+ vX_[3575] = 0 - (vX_[3575] + vX_[966] * vX_[198] + vX_[2321] * vX_[213] + vX_[3527] * vX_[929] + vX_[349] * vX_[932]);
+ vX_[3568] = 0 - vX_[3568];
+ vX_[978] = (vX_[3687] * vX_[168] + vX_[978] * vX_[158] + vX_[3575] * vX_[220] + vX_[3568] * vX_[229]) * 1 / vX_[194];
+ vX_[3687] = 0 - vX_[3677] + vX_[3524] * vX_[920] + vX_[3683] * vX_[207] + vX_[3687] * vX_[195] + vX_[978];
+ vX_[615] = vX_[615] + vX_[522] * vX_[930];
+ vX_[1218] = vX_[1218] + vX_[349] * vX_[929];
+ vX_[3683] = 0 - vX_[1218];
+ vX_[2321] = vX_[2321] + vX_[349] * vX_[930] + vX_[522] * vX_[929];
+ vX_[966] = 0 - vX_[2321];
+ vX_[3527] = (vX_[3683] * vX_[220] + vX_[966] * vX_[229]) * 1 / vX_[194];
+ vX_[3658] = 0 - vX_[615];
+ vX_[3570] = vX_[3658] * vX_[229] * 1 / vX_[194];
+ vX_[978] = 0 - vX_[643] * vX_[947] - vX_[3524] * vX_[885] - vX_[3511] * vX_[936] - vX_[3510] * vX_[948] + vX_[3510] * vX_[920] - vX_[3509] * vX_[923] - vX_[3413] * vX_[939] - vX_[2372] * vX_[207] - vX_[978] * vX_[195] - vX_[3493] * vX_[223] - vX_[3527] * vX_[487] - vX_[3570] * vX_[496];
+ vX_[2372] = 0 - vX_[615] + vX_[978];
+ vX_[3570] = vX_[3413] * vX_[920] + vX_[3682] * vX_[207] + vX_[3568] * vX_[195] + vX_[3430] * vX_[223] + vX_[966] * vX_[487] + vX_[3658] * vX_[496] + vX_[3570];
+ vX_[3527] = vX_[3509] * vX_[920] + vX_[3675] * vX_[207] + vX_[3575] * vX_[195] + vX_[3648] * vX_[223] + vX_[3683] * vX_[487] + vX_[3527];
+ vX_[3683] = vX_[2372] * vX_[148] + vX_[3570] * vX_[157];
+ vX_[3575] = vX_[2372] * vX_[128] + vX_[3570] * vX_[148];
+ vX_[3675] = vX_[3683] * vX_[128] + vX_[3575] * vX_[148];
+ vX_[3648] = vX_[615] + vX_[3683] * vX_[148];
+ vX_[3509] = vX_[615] + vX_[3575] * vX_[128];
+ vX_[978] = vX_[1218] + vX_[615] + vX_[978] - vX_[3648] - vX_[3509];
+ vX_[1218] = 0 - vX_[978];
+ vX_[615] = (vX_[3677] * vX_[148] + vX_[3676] * vX_[157]) * -1;
+ vX_[3658] = vX_[615] + vX_[1218] * vX_[159];
+ vX_[966] = 0 - vX_[3658];
+ vX_[615] = 0 - (vX_[984] * vX_[128] + vX_[3687] * vX_[148]) + vX_[615];
+ vX_[3568] = (vX_[3677] * vX_[128] + vX_[3676] * vX_[148]) * -1;
+ vX_[3682] = vX_[3568] + vX_[978] * vX_[164];
+ vX_[3430] = 0 - vX_[3682];
+ vX_[3413] = 0 - (vX_[2321] * vX_[128] + vX_[3527] * vX_[148]) + vX_[2321] * vX_[157] * -1 * 2.;
+ vX_[3493] = 0 - vX_[3413];
+ vX_[3510] = vX_[2321] * vX_[148] + vX_[3527] * vX_[157] + vX_[2321] * vX_[148] * -1 * 2.;
+ vX_[3511] = 0 - vX_[3510];
+ vX_[3524] = 0 - vX_[3509];
+ vX_[3568] = vX_[984] * vX_[148] + vX_[3687] * vX_[157] + vX_[3568];
+ vX_[643] = 0 - vX_[3675];
+ vX_[3686] = 0 - vX_[3509];
+ jac[502] = 0 - (vX_[344] * vX_[896] + vX_[348] * vX_[921] + vX_[3558] * vX_[924] + vX_[522] * vX_[926] + vX_[3581] * vX_[204] + vX_[3684] * vX_[202] + vX_[970] * vX_[203] + vX_[3576] * vX_[173] + vX_[3677] * vX_[161] + vX_[3689] * vX_[150] + vX_[3678] * vX_[227] + vX_[3676] * vX_[216] + vX_[3673] * vX_[156] + vX_[3647] * vX_[228] + vX_[3674] * vX_[155] + vX_[3429] * vX_[149] + vX_[3579] * vX_[154] + vX_[979] * vX_[147] + vX_[984] * vX_[166] + vX_[3687] * vX_[162] + vX_[2372] * vX_[192] + vX_[3570] * vX_[190] + vX_[2321] * vX_[540] + vX_[2321] * vX_[217] + vX_[3527] * vX_[219] + vX_[3683] * vX_[144] + vX_[3575] * vX_[189] + (vX_[3675] * vX_[165] + vX_[1218] * vX_[175] + vX_[3648] * vX_[160] + vX_[966] * vX_[171] + (vX_[615] + vX_[3648] * vX_[159]) * 4.027 + vX_[3430] * vX_[173] + vX_[3493] * vX_[155] + vX_[3511] * vX_[154] + vX_[3675] * vX_[142] + vX_[3648] * vX_[191]) * -0.08 + vX_[3661] * vX_[815] + vX_[3663] * vX_[894] + vX_[3698] * vX_[813] + vX_[3697] * vX_[884] + (vX_[349] * vX_[896] + vX_[3661] * vX_[882]) * -0.08) * vX_[3638] + (vX_[344] * vX_[921] + vX_[3558] * vX_[926] + vX_[3581] * vX_[202] + vX_[970] * vX_[173] + vX_[3576] * vX_[201] + vX_[3677] * vX_[216] + vX_[3678] * vX_[228] + vX_[3673] * vX_[150] + vX_[3674] * vX_[154] + vX_[3429] * vX_[147] + vX_[984] * vX_[162] + vX_[2372] * vX_[190] + vX_[2321] * vX_[219] + vX_[3683] * vX_[189] + vX_[3575] * vX_[186] + vX_[3663] * vX_[815] + vX_[3697] * vX_[813] - (vX_[348] * vX_[896] + vX_[3661] * vX_[894]) + (vX_[349] * vX_[921] + (vX_[978] * vX_[174] + vX_[3524] * vX_[165] + vX_[3658] * vX_[173] + vX_[3682] * vX_[172] + (0 - (vX_[3568] + vX_[3675] * vX_[159] + vX_[3524] * vX_[164])) * 4.027 + vX_[3413] * vX_[149] + vX_[3510] * vX_[147] + vX_[643] * vX_[151] + vX_[3686] * vX_[185]) * -1 + vX_[3663] * vX_[882]) * -0.08 - (vX_[522] * vX_[924] + vX_[3684] * vX_[204] + vX_[3689] * vX_[156] + vX_[3676] * vX_[161] + vX_[3647] * vX_[227] + vX_[3579] * vX_[155] + vX_[979] * vX_[149] + vX_[3687] * vX_[166] + vX_[3570] * vX_[192] + vX_[2321] * vX_[218] + vX_[3527] * vX_[217] + vX_[3698] * vX_[884])) * vX_[268];
+ vX_[3773] = vX_[1016] + vX_[3773] * vX_[197] + vX_[3772] * vX_[211];
+ vX_[3774] = vX_[1016] + vX_[3771] * vX_[211] + vX_[3774] * vX_[209];
+ vX_[3759] = vX_[3439] + vX_[703] + vX_[1016] - vX_[3773] - vX_[3774] + vX_[3668] * vX_[198] + vX_[3759] * vX_[127];
+ vX_[3774] = vX_[3774] + vX_[3707] * vX_[127] + vX_[3724] * vX_[213] + vX_[3680] * vX_[933];
+ vX_[3707] = vX_[3759] - vX_[3774];
+ vX_[3770] = vX_[3768] * vX_[197] + vX_[3770] * vX_[211] + vX_[3706] * vX_[213] + vX_[3723] * vX_[198] + vX_[3734] * vX_[127] + vX_[3681] * vX_[933];
+ vX_[3734] = vX_[3707] * vX_[148] + vX_[3770] * vX_[157];
+ vX_[3723] = vX_[3707] * vX_[128] + vX_[3770] * vX_[148];
+ vX_[3763] = vX_[3623] + vX_[3763] * vX_[127] + vX_[3694] * vX_[198] * 2. + vX_[3681] * vX_[929];
+ vX_[3623] = 0 - vX_[3770];
+ vX_[3696] = 0 - (vX_[3771] * vX_[197] + vX_[3772] * vX_[209] + vX_[3775] * vX_[211] + vX_[358] * vX_[127] + vX_[3696] * vX_[198] + vX_[3735] * vX_[213] + vX_[972] * vX_[933] + vX_[3680] * vX_[932]);
+ vX_[3775] = 0 - vX_[3774];
+ vX_[3762] = vX_[3717] + vX_[3762] * vX_[127] + vX_[3737] * vX_[213] * 2. + vX_[3680] * vX_[929] + vX_[3679] * vX_[933];
+ vX_[3737] = 0 - vX_[3762];
+ vX_[3736] = vX_[3733] + vX_[3728] * vX_[127] + vX_[3736] * vX_[213] + vX_[3680] * vX_[930] + vX_[3580] * vX_[933];
+ vX_[3733] = 0 - vX_[3736];
+ vX_[3728] = (vX_[3775] * vX_[158] + vX_[3737] * vX_[220] + vX_[3733] * vX_[229]) * 1 / vX_[194];
+ vX_[3775] = vX_[3498] * vX_[920] + vX_[3623] * vX_[207] + vX_[3696] * vX_[195] + vX_[3775] * vX_[223] + vX_[3728];
+ vX_[3764] = vX_[3708] + vX_[3344] * vX_[198] + vX_[3764] * vX_[127] * 2. + vX_[3681] * vX_[930];
+ vX_[3759] = 0 - vX_[3759];
+ vX_[3769] = 0 - (0 - (vX_[3768] * vX_[211] + vX_[3769] * vX_[209]) + vX_[3710] * vX_[213] + vX_[3760] * vX_[127] + vX_[3761] * vX_[198] + vX_[3681] * vX_[932]);
+ vX_[3761] = 0 - vX_[3763];
+ vX_[3768] = 0 - vX_[3764];
+ vX_[3623] = (vX_[3759] * vX_[206] + vX_[3769] * vX_[168] + vX_[3623] * vX_[158] + vX_[3761] * vX_[220] + vX_[3768] * vX_[229]) * 1 / vX_[194];
+ vX_[3759] = vX_[731] * vX_[920] + vX_[3759] * vX_[207] + vX_[3623];
+ vX_[206] = vX_[3775] * vX_[157] + vX_[3759] * vX_[148];
+ vX_[3760] = vX_[3775] * vX_[148] + vX_[3759] * vX_[128];
+ vX_[3710] = vX_[3764] * vX_[148] + vX_[3736] * vX_[157];
+ vX_[127] = vX_[3764] * vX_[128] + vX_[3736] * vX_[148];
+ vX_[3732] = vX_[3727] + vX_[3732] * vX_[198] + vX_[3654] * vX_[213] * 2. + vX_[972] * vX_[930] + vX_[3580] * vX_[932];
+ vX_[3727] = vX_[3762] - vX_[3732];
+ vX_[3773] = 0 - (vX_[3773] + vX_[3745] * vX_[198] + vX_[3730] * vX_[213] + vX_[972] * vX_[932]);
+ vX_[3731] = 0 - (vX_[3731] + vX_[3721] * vX_[198] + vX_[3344] * vX_[213] + vX_[972] * vX_[929] + vX_[3679] * vX_[932]);
+ vX_[3732] = 0 - vX_[3732];
+ vX_[3696] = (vX_[3773] * vX_[168] + vX_[3696] * vX_[158] + vX_[3731] * vX_[220] + vX_[3732] * vX_[229]) * 1 / vX_[194];
+ vX_[3773] = 0 - vX_[3763] + vX_[975] * vX_[920] + vX_[3769] * vX_[207] + vX_[3773] * vX_[195] + vX_[3696];
+ vX_[3654] = vX_[3654] + vX_[3580] * vX_[930];
+ vX_[3694] = vX_[3694] + vX_[3679] * vX_[929];
+ vX_[3769] = 0 - vX_[3694];
+ vX_[3344] = vX_[3344] + vX_[3679] * vX_[930] + vX_[3580] * vX_[929];
+ vX_[930] = 0 - vX_[3344];
+ vX_[220] = (vX_[3769] * vX_[220] + vX_[930] * vX_[229]) * 1 / vX_[194];
+ vX_[929] = 0 - vX_[3654];
+ vX_[229] = vX_[929] * vX_[229] * 1 / vX_[194];
+ vX_[3696] = 0 - vX_[731] * vX_[947] - vX_[975] * vX_[885] - vX_[3498] * vX_[936] - vX_[3569] * vX_[948] + vX_[3569] * vX_[920] - vX_[3573] * vX_[923] - vX_[3281] * vX_[939] - vX_[3623] * vX_[207] - vX_[3696] * vX_[195] - vX_[3728] * vX_[223] - vX_[220] * vX_[487] - vX_[229] * vX_[496];
+ vX_[3623] = 0 - vX_[3654] + vX_[3696];
+ vX_[229] = vX_[3281] * vX_[920] + vX_[3768] * vX_[207] + vX_[3732] * vX_[195] + vX_[3733] * vX_[223] + vX_[930] * vX_[487] + vX_[929] * vX_[496] + vX_[229];
+ vX_[220] = vX_[3573] * vX_[920] + vX_[3761] * vX_[207] + vX_[3731] * vX_[195] + vX_[3737] * vX_[223] + vX_[3769] * vX_[487] + vX_[220];
+ vX_[3769] = vX_[3623] * vX_[148] + vX_[229] * vX_[157];
+ vX_[3731] = vX_[3623] * vX_[128] + vX_[229] * vX_[148];
+ vX_[3761] = vX_[3769] * vX_[128] + vX_[3731] * vX_[148];
+ vX_[3737] = vX_[3654] + vX_[3769] * vX_[148];
+ vX_[3573] = vX_[3654] + vX_[3731] * vX_[128];
+ vX_[3696] = vX_[3694] + vX_[3654] + vX_[3696] - vX_[3737] - vX_[3573];
+ vX_[3694] = 0 - vX_[3696];
+ vX_[3654] = (vX_[3763] * vX_[148] + vX_[3762] * vX_[157]) * -1;
+ vX_[920] = vX_[3654] + vX_[3694] * vX_[159];
+ vX_[487] = 0 - vX_[920];
+ vX_[3654] = 0 - (vX_[3727] * vX_[128] + vX_[3773] * vX_[148]) + vX_[3654];
+ vX_[223] = (vX_[3763] * vX_[128] + vX_[3762] * vX_[148]) * -1;
+ vX_[207] = vX_[223] + vX_[3696] * vX_[164];
+ vX_[195] = 0 - vX_[207];
+ vX_[929] = 0 - (vX_[3344] * vX_[128] + vX_[220] * vX_[148]) + vX_[3344] * vX_[157] * -1 * 2.;
+ vX_[930] = 0 - vX_[929];
+ vX_[3732] = vX_[3344] * vX_[148] + vX_[220] * vX_[157] + vX_[3344] * vX_[148] * -1 * 2.;
+ vX_[3768] = 0 - vX_[3732];
+ vX_[3733] = 0 - vX_[3573];
+ vX_[223] = vX_[3727] * vX_[148] + vX_[3773] * vX_[157] + vX_[223];
+ vX_[3281] = 0 - vX_[3761];
+ vX_[496] = 0 - vX_[3573];
+ jac[503] = 0 - (vX_[3681] * vX_[896] + vX_[3680] * vX_[921] + vX_[3572] * vX_[924] + vX_[3580] * vX_[926] + vX_[3707] * vX_[204] + vX_[3770] * vX_[202] + vX_[3734] * vX_[203] + vX_[3723] * vX_[173] + vX_[3763] * vX_[161] + vX_[3775] * vX_[150] + vX_[3764] * vX_[227] + vX_[3762] * vX_[216] + vX_[3759] * vX_[156] + vX_[3736] * vX_[228] + vX_[206] * vX_[155] + vX_[3760] * vX_[149] + vX_[3710] * vX_[154] + vX_[127] * vX_[147] + vX_[3727] * vX_[166] + vX_[3773] * vX_[162] + vX_[3623] * vX_[192] + vX_[229] * vX_[190] + vX_[3344] * vX_[540] + vX_[3344] * vX_[217] + vX_[220] * vX_[219] + vX_[3769] * vX_[144] + vX_[3731] * vX_[189] + (vX_[3761] * vX_[165] + vX_[3694] * vX_[175] + vX_[3737] * vX_[160] + vX_[487] * vX_[171] + (vX_[3654] + vX_[3737] * vX_[159]) * 4.027 + vX_[195] * vX_[173] + vX_[930] * vX_[155] + vX_[3768] * vX_[154] + vX_[3761] * vX_[142] + vX_[3737] * vX_[191]) * -0.08 + vX_[3748] * vX_[815] + vX_[911] * vX_[894] + vX_[3784] * vX_[813] + vX_[182] * vX_[884] + (vX_[3679] * vX_[896] + vX_[3748] * vX_[882]) * -0.08) * vX_[3638] + (vX_[3681] * vX_[921] + vX_[3572] * vX_[926] + vX_[3707] * vX_[202] + vX_[3734] * vX_[173] + vX_[3723] * vX_[201] + vX_[3763] * vX_[216] + vX_[3764] * vX_[228] + vX_[3759] * vX_[150] + vX_[206] * vX_[154] + vX_[3760] * vX_[147] + vX_[3727] * vX_[162] + vX_[3623] * vX_[190] + vX_[3344] * vX_[219] + vX_[3769] * vX_[189] + vX_[3731] * vX_[186] + vX_[911] * vX_[815] + vX_[182] * vX_[813] - (vX_[3680] * vX_[896] + vX_[3748] * vX_[894]) + (vX_[3679] * vX_[921] + (vX_[3696] * vX_[174] + vX_[3733] * vX_[165] + vX_[920] * vX_[173] + vX_[207] * vX_[172] + (0 - (vX_[223] + vX_[3761] * vX_[159] + vX_[3733] * vX_[164])) * 4.027 + vX_[929] * vX_[149] + vX_[3732] * vX_[147] + vX_[3281] * vX_[151] + vX_[496] * vX_[185]) * -1 + vX_[911] * vX_[882]) * -0.08 - (vX_[3580] * vX_[924] + vX_[3770] * vX_[204] + vX_[3775] * vX_[156] + vX_[3762] * vX_[161] + vX_[3736] * vX_[227] + vX_[3710] * vX_[155] + vX_[127] * vX_[149] + vX_[3773] * vX_[166] + vX_[229] * vX_[192] + vX_[3344] * vX_[218] + vX_[220] * vX_[217] + vX_[3784] * vX_[884])) * vX_[268];
+ vX_[241] = vX_[3497] + vX_[302] * vX_[148] + vX_[241] * vX_[159] + vX_[260] * vX_[901];
+ vX_[3474] = vX_[3497] + vX_[239] * vX_[128] + vX_[3474] * vX_[164] + vX_[3278] * vX_[919];
+ vX_[3497] = vX_[241] - vX_[3474];
+ vX_[306] = vX_[302] * vX_[128] + vX_[239] * vX_[148] + vX_[3423] * vX_[164] + vX_[306] * vX_[159] + vX_[260] * vX_[919] + vX_[3278] * vX_[901];
+ vX_[3423] = vX_[3497] * vX_[131] + vX_[306] * vX_[137];
+ vX_[239] = vX_[3497] * vX_[129] + vX_[306] * vX_[131];
+ vX_[241] = 0 - vX_[241];
+ vX_[302] = 0 - vX_[306];
+ vX_[1001] = (vX_[241] * vX_[152] + vX_[302] * vX_[143] + (0 - (vX_[3519] * vX_[148] + vX_[256] * vX_[157] + vX_[994] * vX_[159] + vX_[260] * vX_[914] + vX_[965] * vX_[901])) * 2.1e-05 + (0 - (vX_[3519] * vX_[128] + vX_[256] * vX_[148] + vX_[1001] * vX_[159] + vX_[260] * vX_[910] + vX_[1208] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[241] = vX_[269] * vX_[916] + vX_[241] * vX_[153] + vX_[1001];
+ vX_[3474] = 0 - vX_[3474];
+ vX_[3609] = (vX_[3474] * vX_[143] + (0 - (vX_[254] * vX_[148] + vX_[246] * vX_[157] + vX_[3602] * vX_[164] + vX_[3278] * vX_[914] + vX_[965] * vX_[919])) * 2.1e-05 + (0 - (vX_[254] * vX_[128] + vX_[246] * vX_[148] + vX_[3609] * vX_[164] + vX_[3278] * vX_[910] + vX_[1208] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[3474] = vX_[262] * vX_[916] + vX_[302] * vX_[153] + vX_[3474] * vX_[146] + vX_[3609];
+ vX_[1226] = vX_[981] + vX_[1568] * vX_[159] + vX_[1226] * vX_[164] * 2. + vX_[279] * vX_[910] - vX_[3474];
+ vX_[3428] = 0 - (vX_[298] + vX_[3428] * vX_[164] + vX_[283] * vX_[159] * 2. + vX_[279] * vX_[914]) + vX_[241];
+ vX_[283] = vX_[283] + vX_[965] * vX_[914];
+ vX_[630] = vX_[630] + vX_[1208] * vX_[910];
+ vX_[298] = vX_[283] - vX_[630];
+ vX_[1568] = vX_[1568] + vX_[965] * vX_[910] + vX_[1208] * vX_[914];
+ vX_[279] = vX_[298] * vX_[131] + vX_[1568] * vX_[137];
+ vX_[981] = vX_[298] * vX_[129] + vX_[1568] * vX_[131];
+ vX_[302] = vX_[279] * vX_[129] + vX_[981] * vX_[131];
+ vX_[3602] = vX_[630] + vX_[279] * vX_[131];
+ vX_[246] = vX_[630] + vX_[981] * vX_[129];
+ vX_[630] = vX_[283] + vX_[630] + 0 - vX_[269] * vX_[925] - vX_[262] * vX_[889] - vX_[1000] * vX_[927] + vX_[1000] * vX_[916] - vX_[509] * vX_[943] - vX_[983] * vX_[940] - vX_[1001] * vX_[153] - vX_[3609] * vX_[146] - ((0 - vX_[283]) * 2.1e-05 + (0 - vX_[1568]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[630]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[3602] - vX_[246];
+ vX_[283] = 0 - vX_[630];
+ vX_[3609] = vX_[241] * vX_[131] + vX_[3474] * vX_[137];
+ vX_[1001] = vX_[3609] + vX_[283] * vX_[132];
+ vX_[983] = vX_[241] * vX_[129] + vX_[3474] * vX_[131];
+ vX_[509] = vX_[983] + vX_[630] * vX_[130];
+ vX_[1000] = sin(x_in[14]);
+ vX_[262] = 0 - vX_[246];
+ vX_[269] = cos(x_in[14]);
+ jac[522] = 0 - (vX_[260] * vX_[906] + vX_[3278] * vX_[918] + vX_[965] * vX_[942] + vX_[1208] * vX_[945] + vX_[3497] * vX_[170] + vX_[306] * vX_[169] + vX_[3423] * -0.463218197356862 + vX_[239] * -0.00370574557885489 + vX_[241] * vX_[136] + vX_[3474] * vX_[141] + vX_[1226] * vX_[140] + vX_[3428] * vX_[135] + vX_[298] * vX_[181] + vX_[1568] * vX_[180] + vX_[279] * vX_[177] + vX_[981] * vX_[179] + (vX_[302] * vX_[139] + vX_[283] * vX_[133] + vX_[3602] * vX_[134] + (0 - vX_[1001]) * 0.417781802643138 + (0 - (vX_[1226] * vX_[129] + vX_[3428] * vX_[131]) + vX_[3609] + vX_[3602] * vX_[132]) * 0.881 + (0 - vX_[509]) * -0.00370574557885489 + vX_[302] * -0.000881 + vX_[3602] * -0.22025) * -0.35 + vX_[1003] * vX_[904] + vX_[3523] * vX_[895] + vX_[1062] * vX_[897] + vX_[3636] * vX_[887] + (vX_[3469] * vX_[906] + vX_[1003] * vX_[890]) * 0.35) * vX_[1000] + (vX_[260] * vX_[918] + vX_[965] * vX_[945] + vX_[3497] * vX_[169] + vX_[3423] * -0.00370574557885489 + vX_[239] * -2.96459646308422e-05 + vX_[241] * vX_[141] + vX_[1226] * vX_[135] + vX_[298] * vX_[180] + vX_[279] * vX_[179] + vX_[981] * vX_[178] + vX_[3523] * vX_[904] + vX_[3636] * vX_[897] - (vX_[3278] * vX_[906] + vX_[1003] * vX_[895]) + (vX_[3469] * vX_[918] + vX_[630] * vX_[138] + vX_[262] * vX_[139] + vX_[1001] * -0.00370574557885489 + vX_[509] * 0.880970354035369 + (0 - (vX_[1226] * vX_[131] + vX_[3428] * vX_[137] + vX_[983] + vX_[302] * vX_[132] + vX_[262] * vX_[130])) * 0.881 + (0 - vX_[302]) * -0.110125 + (0 - vX_[246]) * -0.001762 + vX_[3523] * vX_[890]) * 0.35 - (vX_[1208] * vX_[942] + vX_[306] * vX_[170] + vX_[3474] * vX_[136] + vX_[3428] * vX_[140] + vX_[1568] * vX_[181] + vX_[1062] * vX_[887])) * vX_[269];
+ vX_[655] = vX_[2008] + vX_[2061] * vX_[148] + vX_[655] * vX_[159] + vX_[3516] * vX_[901];
+ vX_[2495] = vX_[2008] + vX_[3451] * vX_[128] + vX_[2495] * vX_[164] + vX_[3536] * vX_[919];
+ vX_[2008] = vX_[655] - vX_[2495];
+ vX_[686] = vX_[2061] * vX_[128] + vX_[3451] * vX_[148] + vX_[2347] * vX_[164] + vX_[686] * vX_[159] + vX_[3516] * vX_[919] + vX_[3536] * vX_[901];
+ vX_[2347] = vX_[2008] * vX_[131] + vX_[686] * vX_[137];
+ vX_[3451] = vX_[2008] * vX_[129] + vX_[686] * vX_[131];
+ vX_[655] = 0 - vX_[655];
+ vX_[2061] = 0 - vX_[686];
+ vX_[247] = (vX_[655] * vX_[152] + vX_[2061] * vX_[143] + (0 - (vX_[1375] * vX_[148] + vX_[570] * vX_[157] + vX_[1631] * vX_[159] + vX_[3516] * vX_[914] + vX_[252] * vX_[901])) * 2.1e-05 + (0 - (vX_[1375] * vX_[128] + vX_[570] * vX_[148] + vX_[247] * vX_[159] + vX_[3516] * vX_[910] + vX_[288] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[655] = vX_[959] * vX_[916] + vX_[655] * vX_[153] + vX_[247];
+ vX_[2495] = 0 - vX_[2495];
+ vX_[248] = (vX_[2495] * vX_[143] + (0 - (vX_[1827] * vX_[148] + vX_[684] * vX_[157] + vX_[251] * vX_[164] + vX_[3536] * vX_[914] + vX_[252] * vX_[919])) * 2.1e-05 + (0 - (vX_[1827] * vX_[128] + vX_[684] * vX_[148] + vX_[248] * vX_[164] + vX_[3536] * vX_[910] + vX_[288] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[2495] = vX_[243] * vX_[916] + vX_[2061] * vX_[153] + vX_[2495] * vX_[146] + vX_[248];
+ vX_[2078] = vX_[1522] + vX_[1856] * vX_[159] + vX_[2078] * vX_[164] * 2. + vX_[1741] * vX_[910] - vX_[2495];
+ vX_[240] = 0 - (vX_[536] + vX_[240] * vX_[164] + vX_[1318] * vX_[159] * 2. + vX_[1741] * vX_[914]) + vX_[655];
+ vX_[1318] = vX_[1318] + vX_[252] * vX_[914];
+ vX_[249] = vX_[249] + vX_[288] * vX_[910];
+ vX_[536] = vX_[1318] - vX_[249];
+ vX_[1856] = vX_[1856] + vX_[252] * vX_[910] + vX_[288] * vX_[914];
+ vX_[1741] = vX_[536] * vX_[131] + vX_[1856] * vX_[137];
+ vX_[1522] = vX_[536] * vX_[129] + vX_[1856] * vX_[131];
+ vX_[2061] = vX_[1741] * vX_[129] + vX_[1522] * vX_[131];
+ vX_[251] = vX_[249] + vX_[1741] * vX_[131];
+ vX_[684] = vX_[249] + vX_[1522] * vX_[129];
+ vX_[249] = vX_[1318] + vX_[249] + 0 - vX_[959] * vX_[925] - vX_[243] * vX_[889] - vX_[567] * vX_[927] + vX_[567] * vX_[916] - vX_[255] * vX_[943] - vX_[289] * vX_[940] - vX_[247] * vX_[153] - vX_[248] * vX_[146] - ((0 - vX_[1318]) * 2.1e-05 + (0 - vX_[1856]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[249]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[251] - vX_[684];
+ vX_[1318] = 0 - vX_[249];
+ vX_[248] = vX_[655] * vX_[131] + vX_[2495] * vX_[137];
+ vX_[247] = vX_[248] + vX_[1318] * vX_[132];
+ vX_[289] = vX_[655] * vX_[129] + vX_[2495] * vX_[131];
+ vX_[255] = vX_[289] + vX_[249] * vX_[130];
+ vX_[567] = 0 - vX_[684];
+ jac[523] = 0 - (vX_[3516] * vX_[906] + vX_[3536] * vX_[918] + vX_[252] * vX_[942] + vX_[288] * vX_[945] + vX_[2008] * vX_[170] + vX_[686] * vX_[169] + vX_[2347] * -0.463218197356862 + vX_[3451] * -0.00370574557885489 + vX_[655] * vX_[136] + vX_[2495] * vX_[141] + vX_[2078] * vX_[140] + vX_[240] * vX_[135] + vX_[536] * vX_[181] + vX_[1856] * vX_[180] + vX_[1741] * vX_[177] + vX_[1522] * vX_[179] + (vX_[2061] * vX_[139] + vX_[1318] * vX_[133] + vX_[251] * vX_[134] + (0 - vX_[247]) * 0.417781802643138 + (0 - (vX_[2078] * vX_[129] + vX_[240] * vX_[131]) + vX_[248] + vX_[251] * vX_[132]) * 0.881 + (0 - vX_[255]) * -0.00370574557885489 + vX_[2061] * -0.000881 + vX_[251] * -0.22025) * -0.35 + vX_[1025] * vX_[904] + vX_[1162] * vX_[895] + vX_[1392] * vX_[897] + vX_[1744] * vX_[887] + (vX_[299] * vX_[906] + vX_[1025] * vX_[890]) * 0.35) * vX_[1000] + (vX_[3516] * vX_[918] + vX_[252] * vX_[945] + vX_[2008] * vX_[169] + vX_[2347] * -0.00370574557885489 + vX_[3451] * -2.96459646308422e-05 + vX_[655] * vX_[141] + vX_[2078] * vX_[135] + vX_[536] * vX_[180] + vX_[1741] * vX_[179] + vX_[1522] * vX_[178] + vX_[1162] * vX_[904] + vX_[1744] * vX_[897] - (vX_[3536] * vX_[906] + vX_[1025] * vX_[895]) + (vX_[299] * vX_[918] + vX_[249] * vX_[138] + vX_[567] * vX_[139] + vX_[247] * -0.00370574557885489 + vX_[255] * 0.880970354035369 + (0 - (vX_[2078] * vX_[131] + vX_[240] * vX_[137] + vX_[289] + vX_[2061] * vX_[132] + vX_[567] * vX_[130])) * 0.881 + (0 - vX_[2061]) * -0.110125 + (0 - vX_[684]) * -0.001762 + vX_[1162] * vX_[890]) * 0.35 - (vX_[288] * vX_[942] + vX_[686] * vX_[170] + vX_[2495] * vX_[136] + vX_[240] * vX_[140] + vX_[1856] * vX_[181] + vX_[1392] * vX_[887])) * vX_[269];
+ vX_[2289] = vX_[2298] + vX_[1836] * vX_[148] + vX_[2289] * vX_[159] + vX_[1629] * vX_[901];
+ vX_[1942] = vX_[2298] + vX_[2640] * vX_[128] + vX_[1942] * vX_[164] + vX_[1339] * vX_[919];
+ vX_[2298] = vX_[2289] - vX_[1942];
+ vX_[1998] = vX_[1836] * vX_[128] + vX_[2640] * vX_[148] + vX_[3151] * vX_[164] + vX_[1998] * vX_[159] + vX_[1629] * vX_[919] + vX_[1339] * vX_[901];
+ vX_[3151] = vX_[2298] * vX_[131] + vX_[1998] * vX_[137];
+ vX_[2640] = vX_[2298] * vX_[129] + vX_[1998] * vX_[131];
+ vX_[2289] = 0 - vX_[2289];
+ vX_[1836] = 0 - vX_[1998];
+ vX_[579] = (vX_[2289] * vX_[152] + vX_[1836] * vX_[143] + (0 - (vX_[2943] * vX_[148] + vX_[1699] * vX_[157] + vX_[1913] * vX_[159] + vX_[1629] * vX_[914] + vX_[1048] * vX_[901])) * 2.1e-05 + (0 - (vX_[2943] * vX_[128] + vX_[1699] * vX_[148] + vX_[579] * vX_[159] + vX_[1629] * vX_[910] + vX_[1015] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[2289] = vX_[1464] * vX_[916] + vX_[2289] * vX_[153] + vX_[579];
+ vX_[1942] = 0 - vX_[1942];
+ vX_[453] = (vX_[1942] * vX_[143] + (0 - (vX_[2050] * vX_[148] + vX_[2491] * vX_[157] + vX_[464] * vX_[164] + vX_[1339] * vX_[914] + vX_[1048] * vX_[919])) * 2.1e-05 + (0 - (vX_[2050] * vX_[128] + vX_[2491] * vX_[148] + vX_[453] * vX_[164] + vX_[1339] * vX_[910] + vX_[1015] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[1942] = vX_[576] * vX_[916] + vX_[1836] * vX_[153] + vX_[1942] * vX_[146] + vX_[453];
+ vX_[2406] = vX_[3077] + vX_[2416] * vX_[159] + vX_[2406] * vX_[164] * 2. + vX_[2026] * vX_[910] - vX_[1942];
+ vX_[1166] = 0 - (vX_[1022] + vX_[1166] * vX_[164] + vX_[1506] * vX_[159] * 2. + vX_[2026] * vX_[914]) + vX_[2289];
+ vX_[1506] = vX_[1506] + vX_[1048] * vX_[914];
+ vX_[422] = vX_[422] + vX_[1015] * vX_[910];
+ vX_[1022] = vX_[1506] - vX_[422];
+ vX_[2416] = vX_[2416] + vX_[1048] * vX_[910] + vX_[1015] * vX_[914];
+ vX_[2026] = vX_[1022] * vX_[131] + vX_[2416] * vX_[137];
+ vX_[3077] = vX_[1022] * vX_[129] + vX_[2416] * vX_[131];
+ vX_[1836] = vX_[2026] * vX_[129] + vX_[3077] * vX_[131];
+ vX_[464] = vX_[422] + vX_[2026] * vX_[131];
+ vX_[2491] = vX_[422] + vX_[3077] * vX_[129];
+ vX_[422] = vX_[1506] + vX_[422] + 0 - vX_[1464] * vX_[925] - vX_[576] * vX_[889] - vX_[1236] * vX_[927] + vX_[1236] * vX_[916] - vX_[575] * vX_[943] - vX_[730] * vX_[940] - vX_[579] * vX_[153] - vX_[453] * vX_[146] - ((0 - vX_[1506]) * 2.1e-05 + (0 - vX_[2416]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[422]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[464] - vX_[2491];
+ vX_[1506] = 0 - vX_[422];
+ vX_[453] = vX_[2289] * vX_[131] + vX_[1942] * vX_[137];
+ vX_[579] = vX_[453] + vX_[1506] * vX_[132];
+ vX_[730] = vX_[2289] * vX_[129] + vX_[1942] * vX_[131];
+ vX_[575] = vX_[730] + vX_[422] * vX_[130];
+ vX_[1236] = 0 - vX_[2491];
+ jac[524] = 0 - (vX_[1629] * vX_[906] + vX_[1339] * vX_[918] + vX_[1048] * vX_[942] + vX_[1015] * vX_[945] + vX_[2298] * vX_[170] + vX_[1998] * vX_[169] + vX_[3151] * -0.463218197356862 + vX_[2640] * -0.00370574557885489 + vX_[2289] * vX_[136] + vX_[1942] * vX_[141] + vX_[2406] * vX_[140] + vX_[1166] * vX_[135] + vX_[1022] * vX_[181] + vX_[2416] * vX_[180] + vX_[2026] * vX_[177] + vX_[3077] * vX_[179] + (vX_[1836] * vX_[139] + vX_[1506] * vX_[133] + vX_[464] * vX_[134] + (0 - vX_[579]) * 0.417781802643138 + (0 - (vX_[2406] * vX_[129] + vX_[1166] * vX_[131]) + vX_[453] + vX_[464] * vX_[132]) * 0.881 + (0 - vX_[575]) * -0.00370574557885489 + vX_[1836] * -0.000881 + vX_[464] * -0.22025) * -0.35 + vX_[2435] * vX_[904] + vX_[2308] * vX_[895] + vX_[3133] * vX_[897] + vX_[1911] * vX_[887] + (vX_[514] * vX_[906] + vX_[2435] * vX_[890]) * 0.35) * vX_[1000] + (vX_[1629] * vX_[918] + vX_[1048] * vX_[945] + vX_[2298] * vX_[169] + vX_[3151] * -0.00370574557885489 + vX_[2640] * -2.96459646308422e-05 + vX_[2289] * vX_[141] + vX_[2406] * vX_[135] + vX_[1022] * vX_[180] + vX_[2026] * vX_[179] + vX_[3077] * vX_[178] + vX_[2308] * vX_[904] + vX_[1911] * vX_[897] - (vX_[1339] * vX_[906] + vX_[2435] * vX_[895]) + (vX_[514] * vX_[918] + vX_[422] * vX_[138] + vX_[1236] * vX_[139] + vX_[579] * -0.00370574557885489 + vX_[575] * 0.880970354035369 + (0 - (vX_[2406] * vX_[131] + vX_[1166] * vX_[137] + vX_[730] + vX_[1836] * vX_[132] + vX_[1236] * vX_[130])) * 0.881 + (0 - vX_[1836]) * -0.110125 + (0 - vX_[2491]) * -0.001762 + vX_[2308] * vX_[890]) * 0.35 - (vX_[1015] * vX_[942] + vX_[1998] * vX_[170] + vX_[1942] * vX_[136] + vX_[1166] * vX_[140] + vX_[2416] * vX_[181] + vX_[3133] * vX_[887])) * vX_[269];
+ vX_[2254] = vX_[2116] + vX_[2493] * vX_[148] + vX_[2254] * vX_[159] + vX_[2408] * vX_[901];
+ vX_[2909] = vX_[2116] + vX_[2200] * vX_[128] + vX_[2909] * vX_[164] + vX_[2518] * vX_[919];
+ vX_[2116] = vX_[2254] - vX_[2909];
+ vX_[2575] = vX_[2493] * vX_[128] + vX_[2200] * vX_[148] + vX_[3406] * vX_[164] + vX_[2575] * vX_[159] + vX_[2408] * vX_[919] + vX_[2518] * vX_[901];
+ vX_[3406] = vX_[2116] * vX_[131] + vX_[2575] * vX_[137];
+ vX_[2200] = vX_[2116] * vX_[129] + vX_[2575] * vX_[131];
+ vX_[2254] = 0 - vX_[2254];
+ vX_[2493] = 0 - vX_[2575];
+ vX_[2155] = (vX_[2254] * vX_[152] + vX_[2493] * vX_[143] + (0 - (vX_[707] * vX_[148] + vX_[2352] * vX_[157] + vX_[2914] * vX_[159] + vX_[2408] * vX_[914] + vX_[1997] * vX_[901])) * 2.1e-05 + (0 - (vX_[707] * vX_[128] + vX_[2352] * vX_[148] + vX_[2155] * vX_[159] + vX_[2408] * vX_[910] + vX_[963] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[2254] = vX_[2018] * vX_[916] + vX_[2254] * vX_[153] + vX_[2155];
+ vX_[2909] = 0 - vX_[2909];
+ vX_[2107] = (vX_[2909] * vX_[143] + (0 - (vX_[3195] * vX_[148] + vX_[2279] * vX_[157] + vX_[2154] * vX_[164] + vX_[2518] * vX_[914] + vX_[1997] * vX_[919])) * 2.1e-05 + (0 - (vX_[3195] * vX_[128] + vX_[2279] * vX_[148] + vX_[2107] * vX_[164] + vX_[2518] * vX_[910] + vX_[963] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[2909] = vX_[2739] * vX_[916] + vX_[2493] * vX_[153] + vX_[2909] * vX_[146] + vX_[2107];
+ vX_[2201] = vX_[3353] + vX_[2165] * vX_[159] + vX_[2201] * vX_[164] * 2. + vX_[2549] * vX_[910] - vX_[2909];
+ vX_[2397] = 0 - (vX_[1952] + vX_[2397] * vX_[164] + vX_[2301] * vX_[159] * 2. + vX_[2549] * vX_[914]) + vX_[2254];
+ vX_[2301] = vX_[2301] + vX_[1997] * vX_[914];
+ vX_[2203] = vX_[2203] + vX_[963] * vX_[910];
+ vX_[1952] = vX_[2301] - vX_[2203];
+ vX_[2165] = vX_[2165] + vX_[1997] * vX_[910] + vX_[963] * vX_[914];
+ vX_[2549] = vX_[1952] * vX_[131] + vX_[2165] * vX_[137];
+ vX_[3353] = vX_[1952] * vX_[129] + vX_[2165] * vX_[131];
+ vX_[2493] = vX_[2549] * vX_[129] + vX_[3353] * vX_[131];
+ vX_[2154] = vX_[2203] + vX_[2549] * vX_[131];
+ vX_[2279] = vX_[2203] + vX_[3353] * vX_[129];
+ vX_[2203] = vX_[2301] + vX_[2203] + 0 - vX_[2018] * vX_[925] - vX_[2739] * vX_[889] - vX_[2967] * vX_[927] + vX_[2967] * vX_[916] - vX_[2027] * vX_[943] - vX_[969] * vX_[940] - vX_[2155] * vX_[153] - vX_[2107] * vX_[146] - ((0 - vX_[2301]) * 2.1e-05 + (0 - vX_[2165]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[2203]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[2154] - vX_[2279];
+ vX_[2301] = 0 - vX_[2203];
+ vX_[2107] = vX_[2254] * vX_[131] + vX_[2909] * vX_[137];
+ vX_[2155] = vX_[2107] + vX_[2301] * vX_[132];
+ vX_[969] = vX_[2254] * vX_[129] + vX_[2909] * vX_[131];
+ vX_[2027] = vX_[969] + vX_[2203] * vX_[130];
+ vX_[2967] = 0 - vX_[2279];
+ jac[525] = 0 - (vX_[2408] * vX_[906] + vX_[2518] * vX_[918] + vX_[1997] * vX_[942] + vX_[963] * vX_[945] + vX_[2116] * vX_[170] + vX_[2575] * vX_[169] + vX_[3406] * -0.463218197356862 + vX_[2200] * -0.00370574557885489 + vX_[2254] * vX_[136] + vX_[2909] * vX_[141] + vX_[2201] * vX_[140] + vX_[2397] * vX_[135] + vX_[1952] * vX_[181] + vX_[2165] * vX_[180] + vX_[2549] * vX_[177] + vX_[3353] * vX_[179] + (vX_[2493] * vX_[139] + vX_[2301] * vX_[133] + vX_[2154] * vX_[134] + (0 - vX_[2155]) * 0.417781802643138 + (0 - (vX_[2201] * vX_[129] + vX_[2397] * vX_[131]) + vX_[2107] + vX_[2154] * vX_[132]) * 0.881 + (0 - vX_[2027]) * -0.00370574557885489 + vX_[2493] * -0.000881 + vX_[2154] * -0.22025) * -0.35 + vX_[466] * vX_[904] + vX_[432] * vX_[895] + vX_[3007] * vX_[897] + vX_[2764] * vX_[887] + (vX_[1055] * vX_[906] + vX_[466] * vX_[890]) * 0.35) * vX_[1000] + (vX_[2408] * vX_[918] + vX_[1997] * vX_[945] + vX_[2116] * vX_[169] + vX_[3406] * -0.00370574557885489 + vX_[2200] * -2.96459646308422e-05 + vX_[2254] * vX_[141] + vX_[2201] * vX_[135] + vX_[1952] * vX_[180] + vX_[2549] * vX_[179] + vX_[3353] * vX_[178] + vX_[432] * vX_[904] + vX_[2764] * vX_[897] - (vX_[2518] * vX_[906] + vX_[466] * vX_[895]) + (vX_[1055] * vX_[918] + vX_[2203] * vX_[138] + vX_[2967] * vX_[139] + vX_[2155] * -0.00370574557885489 + vX_[2027] * 0.880970354035369 + (0 - (vX_[2201] * vX_[131] + vX_[2397] * vX_[137] + vX_[969] + vX_[2493] * vX_[132] + vX_[2967] * vX_[130])) * 0.881 + (0 - vX_[2493]) * -0.110125 + (0 - vX_[2279]) * -0.001762 + vX_[432] * vX_[890]) * 0.35 - (vX_[963] * vX_[942] + vX_[2575] * vX_[170] + vX_[2909] * vX_[136] + vX_[2397] * vX_[140] + vX_[2165] * vX_[181] + vX_[3007] * vX_[887])) * vX_[269];
+ vX_[1734] = vX_[1613] + vX_[456] * vX_[148] + vX_[1734] * vX_[159] + vX_[1315] * vX_[901];
+ vX_[1210] = vX_[1613] + vX_[3447] * vX_[128] + vX_[1210] * vX_[164] + vX_[1214] * vX_[919];
+ vX_[1613] = vX_[1734] - vX_[1210];
+ vX_[1111] = vX_[456] * vX_[128] + vX_[3447] * vX_[148] + vX_[1335] * vX_[164] + vX_[1111] * vX_[159] + vX_[1315] * vX_[919] + vX_[1214] * vX_[901];
+ vX_[1335] = vX_[1613] * vX_[131] + vX_[1111] * vX_[137];
+ vX_[3447] = vX_[1613] * vX_[129] + vX_[1111] * vX_[131];
+ vX_[1734] = 0 - vX_[1734];
+ vX_[456] = 0 - vX_[1111];
+ vX_[3088] = (vX_[1734] * vX_[152] + vX_[456] * vX_[143] + (0 - (vX_[3272] * vX_[148] + vX_[1126] * vX_[157] + vX_[743] * vX_[159] + vX_[1315] * vX_[914] + vX_[2612] * vX_[901])) * 2.1e-05 + (0 - (vX_[3272] * vX_[128] + vX_[1126] * vX_[148] + vX_[3088] * vX_[159] + vX_[1315] * vX_[910] + vX_[974] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[1734] = vX_[586] * vX_[916] + vX_[1734] * vX_[153] + vX_[3088];
+ vX_[1210] = 0 - vX_[1210];
+ vX_[2284] = (vX_[1210] * vX_[143] + (0 - (vX_[1072] * vX_[148] + vX_[624] * vX_[157] + vX_[2303] * vX_[164] + vX_[1214] * vX_[914] + vX_[2612] * vX_[919])) * 2.1e-05 + (0 - (vX_[1072] * vX_[128] + vX_[624] * vX_[148] + vX_[2284] * vX_[164] + vX_[1214] * vX_[910] + vX_[974] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[1210] = vX_[2335] * vX_[916] + vX_[456] * vX_[153] + vX_[1210] * vX_[146] + vX_[2284];
+ vX_[1770] = vX_[455] + vX_[1102] * vX_[159] + vX_[1770] * vX_[164] * 2. + vX_[1192] * vX_[910] - vX_[1210];
+ vX_[237] = 0 - (vX_[3235] + vX_[237] * vX_[164] + vX_[790] * vX_[159] * 2. + vX_[1192] * vX_[914]) + vX_[1734];
+ vX_[790] = vX_[790] + vX_[2612] * vX_[914];
+ vX_[2131] = vX_[2131] + vX_[974] * vX_[910];
+ vX_[3235] = vX_[790] - vX_[2131];
+ vX_[1102] = vX_[1102] + vX_[2612] * vX_[910] + vX_[974] * vX_[914];
+ vX_[1192] = vX_[3235] * vX_[131] + vX_[1102] * vX_[137];
+ vX_[455] = vX_[3235] * vX_[129] + vX_[1102] * vX_[131];
+ vX_[456] = vX_[1192] * vX_[129] + vX_[455] * vX_[131];
+ vX_[2303] = vX_[2131] + vX_[1192] * vX_[131];
+ vX_[624] = vX_[2131] + vX_[455] * vX_[129];
+ vX_[2131] = vX_[790] + vX_[2131] + 0 - vX_[586] * vX_[925] - vX_[2335] * vX_[889] - vX_[2758] * vX_[927] + vX_[2758] * vX_[916] - vX_[2323] * vX_[943] - vX_[1004] * vX_[940] - vX_[3088] * vX_[153] - vX_[2284] * vX_[146] - ((0 - vX_[790]) * 2.1e-05 + (0 - vX_[1102]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[2131]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[2303] - vX_[624];
+ vX_[790] = 0 - vX_[2131];
+ vX_[2284] = vX_[1734] * vX_[131] + vX_[1210] * vX_[137];
+ vX_[3088] = vX_[2284] + vX_[790] * vX_[132];
+ vX_[1004] = vX_[1734] * vX_[129] + vX_[1210] * vX_[131];
+ vX_[2323] = vX_[1004] + vX_[2131] * vX_[130];
+ vX_[2758] = 0 - vX_[624];
+ jac[526] = 0 - (vX_[1315] * vX_[906] + vX_[1214] * vX_[918] + vX_[2612] * vX_[942] + vX_[974] * vX_[945] + vX_[1613] * vX_[170] + vX_[1111] * vX_[169] + vX_[1335] * -0.463218197356862 + vX_[3447] * -0.00370574557885489 + vX_[1734] * vX_[136] + vX_[1210] * vX_[141] + vX_[1770] * vX_[140] + vX_[237] * vX_[135] + vX_[3235] * vX_[181] + vX_[1102] * vX_[180] + vX_[1192] * vX_[177] + vX_[455] * vX_[179] + (vX_[456] * vX_[139] + vX_[790] * vX_[133] + vX_[2303] * vX_[134] + (0 - vX_[3088]) * 0.417781802643138 + (0 - (vX_[1770] * vX_[129] + vX_[237] * vX_[131]) + vX_[2284] + vX_[2303] * vX_[132]) * 0.881 + (0 - vX_[2323]) * -0.00370574557885489 + vX_[456] * -0.000881 + vX_[2303] * -0.22025) * -0.35 + vX_[599] * vX_[904] + vX_[2012] * vX_[895] + vX_[2064] * vX_[897] + vX_[1114] * vX_[887] + (vX_[2133] * vX_[906] + vX_[599] * vX_[890]) * 0.35) * vX_[1000] + (vX_[1315] * vX_[918] + vX_[2612] * vX_[945] + vX_[1613] * vX_[169] + vX_[1335] * -0.00370574557885489 + vX_[3447] * -2.96459646308422e-05 + vX_[1734] * vX_[141] + vX_[1770] * vX_[135] + vX_[3235] * vX_[180] + vX_[1192] * vX_[179] + vX_[455] * vX_[178] + vX_[2012] * vX_[904] + vX_[1114] * vX_[897] - (vX_[1214] * vX_[906] + vX_[599] * vX_[895]) + (vX_[2133] * vX_[918] + vX_[2131] * vX_[138] + vX_[2758] * vX_[139] + vX_[3088] * -0.00370574557885489 + vX_[2323] * 0.880970354035369 + (0 - (vX_[1770] * vX_[131] + vX_[237] * vX_[137] + vX_[1004] + vX_[456] * vX_[132] + vX_[2758] * vX_[130])) * 0.881 + (0 - vX_[456]) * -0.110125 + (0 - vX_[624]) * -0.001762 + vX_[2012] * vX_[890]) * 0.35 - (vX_[974] * vX_[942] + vX_[1111] * vX_[170] + vX_[1210] * vX_[136] + vX_[237] * vX_[140] + vX_[1102] * vX_[181] + vX_[2064] * vX_[887])) * vX_[269];
+ vX_[1736] = vX_[1973] + vX_[2310] * vX_[148] + vX_[1736] * vX_[159] + vX_[1598] * vX_[901];
+ vX_[2613] = vX_[1973] + vX_[2019] * vX_[128] + vX_[2613] * vX_[164] + vX_[767] * vX_[919];
+ vX_[1973] = vX_[1736] - vX_[2613];
+ vX_[1930] = vX_[2310] * vX_[128] + vX_[2019] * vX_[148] + vX_[1634] * vX_[164] + vX_[1930] * vX_[159] + vX_[1598] * vX_[919] + vX_[767] * vX_[901];
+ vX_[1634] = vX_[1973] * vX_[131] + vX_[1930] * vX_[137];
+ vX_[2019] = vX_[1973] * vX_[129] + vX_[1930] * vX_[131];
+ vX_[1736] = 0 - vX_[1736];
+ vX_[2310] = 0 - vX_[1930];
+ vX_[1323] = (vX_[1736] * vX_[152] + vX_[2310] * vX_[143] + (0 - (vX_[2180] * vX_[148] + vX_[1249] * vX_[157] + vX_[2062] * vX_[159] + vX_[1598] * vX_[914] + vX_[1033] * vX_[901])) * 2.1e-05 + (0 - (vX_[2180] * vX_[128] + vX_[1249] * vX_[148] + vX_[1323] * vX_[159] + vX_[1598] * vX_[910] + vX_[1504] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[1736] = vX_[3472] * vX_[916] + vX_[1736] * vX_[153] + vX_[1323];
+ vX_[2613] = 0 - vX_[2613];
+ vX_[1461] = (vX_[2613] * vX_[143] + (0 - (vX_[769] * vX_[148] + vX_[1329] * vX_[157] + vX_[1278] * vX_[164] + vX_[767] * vX_[914] + vX_[1033] * vX_[919])) * 2.1e-05 + (0 - (vX_[769] * vX_[128] + vX_[1329] * vX_[148] + vX_[1461] * vX_[164] + vX_[767] * vX_[910] + vX_[1504] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[2613] = vX_[406] * vX_[916] + vX_[2310] * vX_[153] + vX_[2613] * vX_[146] + vX_[1461];
+ vX_[2757] = vX_[2054] + vX_[2274] * vX_[159] + vX_[2757] * vX_[164] * 2. + vX_[2371] * vX_[910] - vX_[2613];
+ vX_[3458] = 0 - (vX_[1452] + vX_[3458] * vX_[164] + vX_[2370] * vX_[159] * 2. + vX_[2371] * vX_[914]) + vX_[1736];
+ vX_[2370] = vX_[2370] + vX_[1033] * vX_[914];
+ vX_[784] = vX_[784] + vX_[1504] * vX_[910];
+ vX_[1452] = vX_[2370] - vX_[784];
+ vX_[2274] = vX_[2274] + vX_[1033] * vX_[910] + vX_[1504] * vX_[914];
+ vX_[2371] = vX_[1452] * vX_[131] + vX_[2274] * vX_[137];
+ vX_[2054] = vX_[1452] * vX_[129] + vX_[2274] * vX_[131];
+ vX_[2310] = vX_[2371] * vX_[129] + vX_[2054] * vX_[131];
+ vX_[1278] = vX_[784] + vX_[2371] * vX_[131];
+ vX_[1329] = vX_[784] + vX_[2054] * vX_[129];
+ vX_[784] = vX_[2370] + vX_[784] + 0 - vX_[3472] * vX_[925] - vX_[406] * vX_[889] - vX_[3333] * vX_[927] + vX_[3333] * vX_[916] - vX_[1834] * vX_[943] - vX_[986] * vX_[940] - vX_[1323] * vX_[153] - vX_[1461] * vX_[146] - ((0 - vX_[2370]) * 2.1e-05 + (0 - vX_[2274]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[784]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[1278] - vX_[1329];
+ vX_[2370] = 0 - vX_[784];
+ vX_[1461] = vX_[1736] * vX_[131] + vX_[2613] * vX_[137];
+ vX_[1323] = vX_[1461] + vX_[2370] * vX_[132];
+ vX_[986] = vX_[1736] * vX_[129] + vX_[2613] * vX_[131];
+ vX_[1834] = vX_[986] + vX_[784] * vX_[130];
+ vX_[3333] = 0 - vX_[1329];
+ jac[527] = 0 - (vX_[1598] * vX_[906] + vX_[767] * vX_[918] + vX_[1033] * vX_[942] + vX_[1504] * vX_[945] + vX_[1973] * vX_[170] + vX_[1930] * vX_[169] + vX_[1634] * -0.463218197356862 + vX_[2019] * -0.00370574557885489 + vX_[1736] * vX_[136] + vX_[2613] * vX_[141] + vX_[2757] * vX_[140] + vX_[3458] * vX_[135] + vX_[1452] * vX_[181] + vX_[2274] * vX_[180] + vX_[2371] * vX_[177] + vX_[2054] * vX_[179] + (vX_[2310] * vX_[139] + vX_[2370] * vX_[133] + vX_[1278] * vX_[134] + (0 - vX_[1323]) * 0.417781802643138 + (0 - (vX_[2757] * vX_[129] + vX_[3458] * vX_[131]) + vX_[1461] + vX_[1278] * vX_[132]) * 0.881 + (0 - vX_[1834]) * -0.00370574557885489 + vX_[2310] * -0.000881 + vX_[1278] * -0.22025) * -0.35 + vX_[789] * vX_[904] + vX_[2157] * vX_[895] + vX_[1795] * vX_[897] + vX_[1689] * vX_[887] + (vX_[2981] * vX_[906] + vX_[789] * vX_[890]) * 0.35) * vX_[1000] + (vX_[1598] * vX_[918] + vX_[1033] * vX_[945] + vX_[1973] * vX_[169] + vX_[1634] * -0.00370574557885489 + vX_[2019] * -2.96459646308422e-05 + vX_[1736] * vX_[141] + vX_[2757] * vX_[135] + vX_[1452] * vX_[180] + vX_[2371] * vX_[179] + vX_[2054] * vX_[178] + vX_[2157] * vX_[904] + vX_[1689] * vX_[897] - (vX_[767] * vX_[906] + vX_[789] * vX_[895]) + (vX_[2981] * vX_[918] + vX_[784] * vX_[138] + vX_[3333] * vX_[139] + vX_[1323] * -0.00370574557885489 + vX_[1834] * 0.880970354035369 + (0 - (vX_[2757] * vX_[131] + vX_[3458] * vX_[137] + vX_[986] + vX_[2310] * vX_[132] + vX_[3333] * vX_[130])) * 0.881 + (0 - vX_[2310]) * -0.110125 + (0 - vX_[1329]) * -0.001762 + vX_[2157] * vX_[890]) * 0.35 - (vX_[1504] * vX_[942] + vX_[1930] * vX_[170] + vX_[2613] * vX_[136] + vX_[3458] * vX_[140] + vX_[2274] * vX_[181] + vX_[1795] * vX_[887])) * vX_[269];
+ vX_[2811] = vX_[3099] + vX_[2295] * vX_[148] + vX_[2811] * vX_[159] + vX_[1757] * vX_[901];
+ vX_[2536] = vX_[3099] + vX_[3198] * vX_[128] + vX_[2536] * vX_[164] + vX_[2092] * vX_[919];
+ vX_[3099] = vX_[2811] - vX_[2536];
+ vX_[2176] = vX_[2295] * vX_[128] + vX_[3198] * vX_[148] + vX_[3065] * vX_[164] + vX_[2176] * vX_[159] + vX_[1757] * vX_[919] + vX_[2092] * vX_[901];
+ vX_[3065] = vX_[3099] * vX_[131] + vX_[2176] * vX_[137];
+ vX_[3198] = vX_[3099] * vX_[129] + vX_[2176] * vX_[131];
+ vX_[2811] = 0 - vX_[2811];
+ vX_[2295] = 0 - vX_[2176];
+ vX_[662] = (vX_[2811] * vX_[152] + vX_[2295] * vX_[143] + (0 - (vX_[2376] * vX_[148] + vX_[2615] * vX_[157] + vX_[461] * vX_[159] + vX_[1757] * vX_[914] + vX_[1342] * vX_[901])) * 2.1e-05 + (0 - (vX_[2376] * vX_[128] + vX_[2615] * vX_[148] + vX_[662] * vX_[159] + vX_[1757] * vX_[910] + vX_[3089] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[2811] = vX_[1514] * vX_[916] + vX_[2811] * vX_[153] + vX_[662];
+ vX_[2536] = 0 - vX_[2536];
+ vX_[792] = (vX_[2536] * vX_[143] + (0 - (vX_[2386] * vX_[148] + vX_[2489] * vX_[157] + vX_[1220] * vX_[164] + vX_[2092] * vX_[914] + vX_[1342] * vX_[919])) * 2.1e-05 + (0 - (vX_[2386] * vX_[128] + vX_[2489] * vX_[148] + vX_[792] * vX_[164] + vX_[2092] * vX_[910] + vX_[3089] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[2536] = vX_[1417] * vX_[916] + vX_[2295] * vX_[153] + vX_[2536] * vX_[146] + vX_[792];
+ vX_[736] = vX_[2081] + vX_[2653] * vX_[159] + vX_[736] * vX_[164] * 2. + vX_[3094] * vX_[910] - vX_[2536];
+ vX_[1378] = 0 - (vX_[2767] + vX_[1378] * vX_[164] + vX_[2344] * vX_[159] * 2. + vX_[3094] * vX_[914]) + vX_[2811];
+ vX_[2344] = vX_[2344] + vX_[1342] * vX_[914];
+ vX_[1321] = vX_[1321] + vX_[3089] * vX_[910];
+ vX_[2767] = vX_[2344] - vX_[1321];
+ vX_[2653] = vX_[2653] + vX_[1342] * vX_[910] + vX_[3089] * vX_[914];
+ vX_[3094] = vX_[2767] * vX_[131] + vX_[2653] * vX_[137];
+ vX_[2081] = vX_[2767] * vX_[129] + vX_[2653] * vX_[131];
+ vX_[2295] = vX_[3094] * vX_[129] + vX_[2081] * vX_[131];
+ vX_[1220] = vX_[1321] + vX_[3094] * vX_[131];
+ vX_[2489] = vX_[1321] + vX_[2081] * vX_[129];
+ vX_[1321] = vX_[2344] + vX_[1321] + 0 - vX_[1514] * vX_[925] - vX_[1417] * vX_[889] - vX_[1862] * vX_[927] + vX_[1862] * vX_[916] - vX_[1870] * vX_[943] - vX_[3392] * vX_[940] - vX_[662] * vX_[153] - vX_[792] * vX_[146] - ((0 - vX_[2344]) * 2.1e-05 + (0 - vX_[2653]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[1321]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[1220] - vX_[2489];
+ vX_[2344] = 0 - vX_[1321];
+ vX_[792] = vX_[2811] * vX_[131] + vX_[2536] * vX_[137];
+ vX_[662] = vX_[792] + vX_[2344] * vX_[132];
+ vX_[3392] = vX_[2811] * vX_[129] + vX_[2536] * vX_[131];
+ vX_[1870] = vX_[3392] + vX_[1321] * vX_[130];
+ vX_[1862] = 0 - vX_[2489];
+ jac[528] = 0 - (vX_[1757] * vX_[906] + vX_[2092] * vX_[918] + vX_[1342] * vX_[942] + vX_[3089] * vX_[945] + vX_[3099] * vX_[170] + vX_[2176] * vX_[169] + vX_[3065] * -0.463218197356862 + vX_[3198] * -0.00370574557885489 + vX_[2811] * vX_[136] + vX_[2536] * vX_[141] + vX_[736] * vX_[140] + vX_[1378] * vX_[135] + vX_[2767] * vX_[181] + vX_[2653] * vX_[180] + vX_[3094] * vX_[177] + vX_[2081] * vX_[179] + (vX_[2295] * vX_[139] + vX_[2344] * vX_[133] + vX_[1220] * vX_[134] + (0 - vX_[662]) * 0.417781802643138 + (0 - (vX_[736] * vX_[129] + vX_[1378] * vX_[131]) + vX_[792] + vX_[1220] * vX_[132]) * 0.881 + (0 - vX_[1870]) * -0.00370574557885489 + vX_[2295] * -0.000881 + vX_[1220] * -0.22025) * -0.35 + vX_[2741] * vX_[904] + vX_[2965] * vX_[895] + vX_[3122] * vX_[897] + vX_[2679] * vX_[887] + (vX_[1475] * vX_[906] + vX_[2741] * vX_[890]) * 0.35) * vX_[1000] + (vX_[1757] * vX_[918] + vX_[1342] * vX_[945] + vX_[3099] * vX_[169] + vX_[3065] * -0.00370574557885489 + vX_[3198] * -2.96459646308422e-05 + vX_[2811] * vX_[141] + vX_[736] * vX_[135] + vX_[2767] * vX_[180] + vX_[3094] * vX_[179] + vX_[2081] * vX_[178] + vX_[2965] * vX_[904] + vX_[2679] * vX_[897] - (vX_[2092] * vX_[906] + vX_[2741] * vX_[895]) + (vX_[1475] * vX_[918] + vX_[1321] * vX_[138] + vX_[1862] * vX_[139] + vX_[662] * -0.00370574557885489 + vX_[1870] * 0.880970354035369 + (0 - (vX_[736] * vX_[131] + vX_[1378] * vX_[137] + vX_[3392] + vX_[2295] * vX_[132] + vX_[1862] * vX_[130])) * 0.881 + (0 - vX_[2295]) * -0.110125 + (0 - vX_[2489]) * -0.001762 + vX_[2965] * vX_[890]) * 0.35 - (vX_[3089] * vX_[942] + vX_[2176] * vX_[170] + vX_[2536] * vX_[136] + vX_[1378] * vX_[140] + vX_[2653] * vX_[181] + vX_[3122] * vX_[887])) * vX_[269];
+ vX_[2969] = vX_[3564] + vX_[368] * vX_[148] + vX_[2969] * vX_[159] + vX_[2519] * vX_[901];
+ vX_[3626] = vX_[3564] + vX_[362] * vX_[128] + vX_[3626] * vX_[164] + vX_[367] * vX_[919];
+ vX_[3564] = vX_[2969] - vX_[3626];
+ vX_[3264] = vX_[368] * vX_[128] + vX_[362] * vX_[148] + vX_[3337] * vX_[164] + vX_[3264] * vX_[159] + vX_[2519] * vX_[919] + vX_[367] * vX_[901];
+ vX_[3337] = vX_[3564] * vX_[131] + vX_[3264] * vX_[137];
+ vX_[362] = vX_[3564] * vX_[129] + vX_[3264] * vX_[131];
+ vX_[2969] = 0 - vX_[2969];
+ vX_[368] = 0 - vX_[3264];
+ vX_[124] = (vX_[2969] * vX_[152] + vX_[368] * vX_[143] + (0 - (vX_[373] * vX_[148] + vX_[365] * vX_[157] + vX_[742] * vX_[159] + vX_[2519] * vX_[914] + vX_[2449] * vX_[901])) * 2.1e-05 + (0 - (vX_[373] * vX_[128] + vX_[365] * vX_[148] + vX_[124] * vX_[159] + vX_[2519] * vX_[910] + vX_[3302] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[2969] = vX_[2624] * vX_[916] + vX_[2969] * vX_[153] + vX_[124];
+ vX_[3626] = 0 - vX_[3626];
+ vX_[3063] = (vX_[3626] * vX_[143] + (0 - (vX_[3086] * vX_[148] + vX_[2680] * vX_[157] + vX_[2466] * vX_[164] + vX_[367] * vX_[914] + vX_[2449] * vX_[919])) * 2.1e-05 + (0 - (vX_[3086] * vX_[128] + vX_[2680] * vX_[148] + vX_[3063] * vX_[164] + vX_[367] * vX_[910] + vX_[3302] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[3626] = vX_[2971] * vX_[916] + vX_[368] * vX_[153] + vX_[3626] * vX_[146] + vX_[3063];
+ vX_[1009] = vX_[716] + vX_[748] * vX_[159] + vX_[1009] * vX_[164] * 2. + vX_[331] * vX_[910] - vX_[3626];
+ vX_[3239] = 0 - (vX_[2755] + vX_[3239] * vX_[164] + vX_[996] * vX_[159] * 2. + vX_[331] * vX_[914]) + vX_[2969];
+ vX_[996] = vX_[996] + vX_[2449] * vX_[914];
+ vX_[2159] = vX_[2159] + vX_[3302] * vX_[910];
+ vX_[2755] = vX_[996] - vX_[2159];
+ vX_[748] = vX_[748] + vX_[2449] * vX_[910] + vX_[3302] * vX_[914];
+ vX_[331] = vX_[2755] * vX_[131] + vX_[748] * vX_[137];
+ vX_[716] = vX_[2755] * vX_[129] + vX_[748] * vX_[131];
+ vX_[368] = vX_[331] * vX_[129] + vX_[716] * vX_[131];
+ vX_[2466] = vX_[2159] + vX_[331] * vX_[131];
+ vX_[2680] = vX_[2159] + vX_[716] * vX_[129];
+ vX_[2159] = vX_[996] + vX_[2159] + 0 - vX_[2624] * vX_[925] - vX_[2971] * vX_[889] - vX_[2210] * vX_[927] + vX_[2210] * vX_[916] - vX_[2669] * vX_[943] - vX_[990] * vX_[940] - vX_[124] * vX_[153] - vX_[3063] * vX_[146] - ((0 - vX_[996]) * 2.1e-05 + (0 - vX_[748]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[2159]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[2466] - vX_[2680];
+ vX_[996] = 0 - vX_[2159];
+ vX_[3063] = vX_[2969] * vX_[131] + vX_[3626] * vX_[137];
+ vX_[124] = vX_[3063] + vX_[996] * vX_[132];
+ vX_[990] = vX_[2969] * vX_[129] + vX_[3626] * vX_[131];
+ vX_[2669] = vX_[990] + vX_[2159] * vX_[130];
+ vX_[2210] = 0 - vX_[2680];
+ jac[529] = 0 - (vX_[2519] * vX_[906] + vX_[367] * vX_[918] + vX_[2449] * vX_[942] + vX_[3302] * vX_[945] + vX_[3564] * vX_[170] + vX_[3264] * vX_[169] + vX_[3337] * -0.463218197356862 + vX_[362] * -0.00370574557885489 + vX_[2969] * vX_[136] + vX_[3626] * vX_[141] + vX_[1009] * vX_[140] + vX_[3239] * vX_[135] + vX_[2755] * vX_[181] + vX_[748] * vX_[180] + vX_[331] * vX_[177] + vX_[716] * vX_[179] + (vX_[368] * vX_[139] + vX_[996] * vX_[133] + vX_[2466] * vX_[134] + (0 - vX_[124]) * 0.417781802643138 + (0 - (vX_[1009] * vX_[129] + vX_[3239] * vX_[131]) + vX_[3063] + vX_[2466] * vX_[132]) * 0.881 + (0 - vX_[2669]) * -0.00370574557885489 + vX_[368] * -0.000881 + vX_[2466] * -0.22025) * -0.35 + vX_[3600] * vX_[904] + vX_[3314] * vX_[895] + vX_[3639] * vX_[897] + vX_[3621] * vX_[887] + (vX_[1454] * vX_[906] + vX_[3600] * vX_[890]) * 0.35) * vX_[1000] + (vX_[2519] * vX_[918] + vX_[2449] * vX_[945] + vX_[3564] * vX_[169] + vX_[3337] * -0.00370574557885489 + vX_[362] * -2.96459646308422e-05 + vX_[2969] * vX_[141] + vX_[1009] * vX_[135] + vX_[2755] * vX_[180] + vX_[331] * vX_[179] + vX_[716] * vX_[178] + vX_[3314] * vX_[904] + vX_[3621] * vX_[897] - (vX_[367] * vX_[906] + vX_[3600] * vX_[895]) + (vX_[1454] * vX_[918] + vX_[2159] * vX_[138] + vX_[2210] * vX_[139] + vX_[124] * -0.00370574557885489 + vX_[2669] * 0.880970354035369 + (0 - (vX_[1009] * vX_[131] + vX_[3239] * vX_[137] + vX_[990] + vX_[368] * vX_[132] + vX_[2210] * vX_[130])) * 0.881 + (0 - vX_[368]) * -0.110125 + (0 - vX_[2680]) * -0.001762 + vX_[3314] * vX_[890]) * 0.35 - (vX_[3302] * vX_[942] + vX_[3264] * vX_[170] + vX_[3626] * vX_[136] + vX_[3239] * vX_[140] + vX_[748] * vX_[181] + vX_[3639] * vX_[887])) * vX_[269];
+ vX_[310] = vX_[469] + vX_[282] * vX_[148] + vX_[310] * vX_[159] + vX_[363] * vX_[901];
+ vX_[3607] = vX_[469] + vX_[308] * vX_[128] + vX_[3607] * vX_[164] + vX_[653] * vX_[919];
+ vX_[469] = vX_[310] - vX_[3607];
+ vX_[284] = vX_[282] * vX_[128] + vX_[308] * vX_[148] + vX_[3618] * vX_[164] + vX_[284] * vX_[159] + vX_[363] * vX_[919] + vX_[653] * vX_[901];
+ vX_[3618] = vX_[469] * vX_[131] + vX_[284] * vX_[137];
+ vX_[308] = vX_[469] * vX_[129] + vX_[284] * vX_[131];
+ vX_[310] = 0 - vX_[310];
+ vX_[282] = 0 - vX_[284];
+ vX_[3415] = (vX_[310] * vX_[152] + vX_[282] * vX_[143] + (0 - (vX_[3637] * vX_[148] + vX_[336] * vX_[157] + vX_[293] * vX_[159] + vX_[363] * vX_[914] + vX_[3092] * vX_[901])) * 2.1e-05 + (0 - (vX_[3637] * vX_[128] + vX_[336] * vX_[148] + vX_[3415] * vX_[159] + vX_[363] * vX_[910] + vX_[1737] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[310] = vX_[3268] * vX_[916] + vX_[310] * vX_[153] + vX_[3415];
+ vX_[3607] = 0 - vX_[3607];
+ vX_[2907] = (vX_[3607] * vX_[143] + (0 - (vX_[345] * vX_[148] + vX_[321] * vX_[157] + vX_[3020] * vX_[164] + vX_[653] * vX_[914] + vX_[3092] * vX_[919])) * 2.1e-05 + (0 - (vX_[345] * vX_[128] + vX_[321] * vX_[148] + vX_[2907] * vX_[164] + vX_[653] * vX_[910] + vX_[1737] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[3607] = vX_[2964] * vX_[916] + vX_[282] * vX_[153] + vX_[3607] * vX_[146] + vX_[2907];
+ vX_[3535] = vX_[259] + vX_[3611] * vX_[159] + vX_[3535] * vX_[164] * 2. + vX_[276] * vX_[910] - vX_[3607];
+ vX_[2830] = 0 - (vX_[768] + vX_[2830] * vX_[164] + vX_[277] * vX_[159] * 2. + vX_[276] * vX_[914]) + vX_[310];
+ vX_[277] = vX_[277] + vX_[3092] * vX_[914];
+ vX_[3121] = vX_[3121] + vX_[1737] * vX_[910];
+ vX_[768] = vX_[277] - vX_[3121];
+ vX_[3611] = vX_[3611] + vX_[3092] * vX_[910] + vX_[1737] * vX_[914];
+ vX_[276] = vX_[768] * vX_[131] + vX_[3611] * vX_[137];
+ vX_[259] = vX_[768] * vX_[129] + vX_[3611] * vX_[131];
+ vX_[282] = vX_[276] * vX_[129] + vX_[259] * vX_[131];
+ vX_[3020] = vX_[3121] + vX_[276] * vX_[131];
+ vX_[321] = vX_[3121] + vX_[259] * vX_[129];
+ vX_[3121] = vX_[277] + vX_[3121] + 0 - vX_[3268] * vX_[925] - vX_[2964] * vX_[889] - vX_[3232] * vX_[927] + vX_[3232] * vX_[916] - vX_[2827] * vX_[943] - vX_[688] * vX_[940] - vX_[3415] * vX_[153] - vX_[2907] * vX_[146] - ((0 - vX_[277]) * 2.1e-05 + (0 - vX_[3611]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[3121]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[3020] - vX_[321];
+ vX_[277] = 0 - vX_[3121];
+ vX_[2907] = vX_[310] * vX_[131] + vX_[3607] * vX_[137];
+ vX_[3415] = vX_[2907] + vX_[277] * vX_[132];
+ vX_[688] = vX_[310] * vX_[129] + vX_[3607] * vX_[131];
+ vX_[2827] = vX_[688] + vX_[3121] * vX_[130];
+ vX_[3232] = 0 - vX_[321];
+ jac[530] = 0 - (vX_[363] * vX_[906] + vX_[653] * vX_[918] + vX_[3092] * vX_[942] + vX_[1737] * vX_[945] + vX_[469] * vX_[170] + vX_[284] * vX_[169] + vX_[3618] * -0.463218197356862 + vX_[308] * -0.00370574557885489 + vX_[310] * vX_[136] + vX_[3607] * vX_[141] + vX_[3535] * vX_[140] + vX_[2830] * vX_[135] + vX_[768] * vX_[181] + vX_[3611] * vX_[180] + vX_[276] * vX_[177] + vX_[259] * vX_[179] + (vX_[282] * vX_[139] + vX_[277] * vX_[133] + vX_[3020] * vX_[134] + (0 - vX_[3415]) * 0.417781802643138 + (0 - (vX_[3535] * vX_[129] + vX_[2830] * vX_[131]) + vX_[2907] + vX_[3020] * vX_[132]) * 0.881 + (0 - vX_[2827]) * -0.00370574557885489 + vX_[282] * -0.000881 + vX_[3020] * -0.22025) * -0.35 + vX_[341] * vX_[904] + vX_[314] * vX_[895] + vX_[3541] * vX_[897] + vX_[271] * vX_[887] + (vX_[3056] * vX_[906] + vX_[341] * vX_[890]) * 0.35) * vX_[1000] + (vX_[363] * vX_[918] + vX_[3092] * vX_[945] + vX_[469] * vX_[169] + vX_[3618] * -0.00370574557885489 + vX_[308] * -2.96459646308422e-05 + vX_[310] * vX_[141] + vX_[3535] * vX_[135] + vX_[768] * vX_[180] + vX_[276] * vX_[179] + vX_[259] * vX_[178] + vX_[314] * vX_[904] + vX_[271] * vX_[897] - (vX_[653] * vX_[906] + vX_[341] * vX_[895]) + (vX_[3056] * vX_[918] + vX_[3121] * vX_[138] + vX_[3232] * vX_[139] + vX_[3415] * -0.00370574557885489 + vX_[2827] * 0.880970354035369 + (0 - (vX_[3535] * vX_[131] + vX_[2830] * vX_[137] + vX_[688] + vX_[282] * vX_[132] + vX_[3232] * vX_[130])) * 0.881 + (0 - vX_[282]) * -0.110125 + (0 - vX_[321]) * -0.001762 + vX_[314] * vX_[890]) * 0.35 - (vX_[1737] * vX_[942] + vX_[284] * vX_[170] + vX_[3607] * vX_[136] + vX_[2830] * vX_[140] + vX_[3611] * vX_[181] + vX_[3541] * vX_[887])) * vX_[269];
+ vX_[3501] = vX_[2939] + vX_[1293] * vX_[148] + vX_[3501] * vX_[159] + vX_[3550] * vX_[901];
+ vX_[770] = vX_[2939] + vX_[462] * vX_[128] + vX_[770] * vX_[164] + vX_[3537] * vX_[919];
+ vX_[2939] = vX_[3501] - vX_[770];
+ vX_[1294] = vX_[1293] * vX_[128] + vX_[462] * vX_[148] + vX_[2245] * vX_[164] + vX_[1294] * vX_[159] + vX_[3550] * vX_[919] + vX_[3537] * vX_[901];
+ vX_[2245] = vX_[2939] * vX_[131] + vX_[1294] * vX_[137];
+ vX_[462] = vX_[2939] * vX_[129] + vX_[1294] * vX_[131];
+ vX_[3501] = 0 - vX_[3501];
+ vX_[1293] = 0 - vX_[1294];
+ vX_[322] = (vX_[3501] * vX_[152] + vX_[1293] * vX_[143] + (0 - (vX_[1706] * vX_[148] + vX_[512] * vX_[157] + vX_[3432] * vX_[159] + vX_[3550] * vX_[914] + vX_[337] * vX_[901])) * 2.1e-05 + (0 - (vX_[1706] * vX_[128] + vX_[512] * vX_[148] + vX_[322] * vX_[159] + vX_[3550] * vX_[910] + vX_[3050] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[3501] = vX_[292] * vX_[916] + vX_[3501] * vX_[153] + vX_[322];
+ vX_[770] = 0 - vX_[770];
+ vX_[323] = (vX_[770] * vX_[143] + (0 - (vX_[3518] * vX_[148] + vX_[2007] * vX_[157] + vX_[335] * vX_[164] + vX_[3537] * vX_[914] + vX_[337] * vX_[919])) * 2.1e-05 + (0 - (vX_[3518] * vX_[128] + vX_[2007] * vX_[148] + vX_[323] * vX_[164] + vX_[3537] * vX_[910] + vX_[3050] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[770] = vX_[311] * vX_[916] + vX_[1293] * vX_[153] + vX_[770] * vX_[146] + vX_[323];
+ vX_[1405] = vX_[443] + vX_[1731] * vX_[159] + vX_[1405] * vX_[164] * 2. + vX_[760] * vX_[910] - vX_[770];
+ vX_[309] = 0 - (vX_[500] + vX_[309] * vX_[164] + vX_[1557] * vX_[159] * 2. + vX_[760] * vX_[914]) + vX_[3501];
+ vX_[1557] = vX_[1557] + vX_[337] * vX_[914];
+ vX_[281] = vX_[281] + vX_[3050] * vX_[910];
+ vX_[500] = vX_[1557] - vX_[281];
+ vX_[1731] = vX_[1731] + vX_[337] * vX_[910] + vX_[3050] * vX_[914];
+ vX_[760] = vX_[500] * vX_[131] + vX_[1731] * vX_[137];
+ vX_[443] = vX_[500] * vX_[129] + vX_[1731] * vX_[131];
+ vX_[1293] = vX_[760] * vX_[129] + vX_[443] * vX_[131];
+ vX_[335] = vX_[281] + vX_[760] * vX_[131];
+ vX_[2007] = vX_[281] + vX_[443] * vX_[129];
+ vX_[281] = vX_[1557] + vX_[281] + 0 - vX_[292] * vX_[925] - vX_[311] * vX_[889] - vX_[294] * vX_[927] + vX_[294] * vX_[916] - vX_[346] * vX_[943] - vX_[985] * vX_[940] - vX_[322] * vX_[153] - vX_[323] * vX_[146] - ((0 - vX_[1557]) * 2.1e-05 + (0 - vX_[1731]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[281]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[335] - vX_[2007];
+ vX_[1557] = 0 - vX_[281];
+ vX_[323] = vX_[3501] * vX_[131] + vX_[770] * vX_[137];
+ vX_[322] = vX_[323] + vX_[1557] * vX_[132];
+ vX_[985] = vX_[3501] * vX_[129] + vX_[770] * vX_[131];
+ vX_[346] = vX_[985] + vX_[281] * vX_[130];
+ vX_[294] = 0 - vX_[2007];
+ jac[531] = 0 - (vX_[3550] * vX_[906] + vX_[3537] * vX_[918] + vX_[337] * vX_[942] + vX_[3050] * vX_[945] + vX_[2939] * vX_[170] + vX_[1294] * vX_[169] + vX_[2245] * -0.463218197356862 + vX_[462] * -0.00370574557885489 + vX_[3501] * vX_[136] + vX_[770] * vX_[141] + vX_[1405] * vX_[140] + vX_[309] * vX_[135] + vX_[500] * vX_[181] + vX_[1731] * vX_[180] + vX_[760] * vX_[177] + vX_[443] * vX_[179] + (vX_[1293] * vX_[139] + vX_[1557] * vX_[133] + vX_[335] * vX_[134] + (0 - vX_[322]) * 0.417781802643138 + (0 - (vX_[1405] * vX_[129] + vX_[309] * vX_[131]) + vX_[323] + vX_[335] * vX_[132]) * 0.881 + (0 - vX_[346]) * -0.00370574557885489 + vX_[1293] * -0.000881 + vX_[335] * -0.22025) * -0.35 + vX_[995] * vX_[904] + vX_[1098] * vX_[895] + vX_[1317] * vX_[897] + vX_[571] * vX_[887] + (vX_[628] * vX_[906] + vX_[995] * vX_[890]) * 0.35) * vX_[1000] + (vX_[3550] * vX_[918] + vX_[337] * vX_[945] + vX_[2939] * vX_[169] + vX_[2245] * -0.00370574557885489 + vX_[462] * -2.96459646308422e-05 + vX_[3501] * vX_[141] + vX_[1405] * vX_[135] + vX_[500] * vX_[180] + vX_[760] * vX_[179] + vX_[443] * vX_[178] + vX_[1098] * vX_[904] + vX_[571] * vX_[897] - (vX_[3537] * vX_[906] + vX_[995] * vX_[895]) + (vX_[628] * vX_[918] + vX_[281] * vX_[138] + vX_[294] * vX_[139] + vX_[322] * -0.00370574557885489 + vX_[346] * 0.880970354035369 + (0 - (vX_[1405] * vX_[131] + vX_[309] * vX_[137] + vX_[985] + vX_[1293] * vX_[132] + vX_[294] * vX_[130])) * 0.881 + (0 - vX_[1293]) * -0.110125 + (0 - vX_[2007]) * -0.001762 + vX_[1098] * vX_[890]) * 0.35 - (vX_[3050] * vX_[942] + vX_[1294] * vX_[170] + vX_[770] * vX_[136] + vX_[309] * vX_[140] + vX_[1731] * vX_[181] + vX_[1317] * vX_[887])) * vX_[269];
+ vX_[1908] = vX_[2016] + vX_[2205] * vX_[148] + vX_[1908] * vX_[159] + vX_[3485] * vX_[901];
+ vX_[2446] = vX_[2016] + vX_[1764] * vX_[128] + vX_[2446] * vX_[164] + vX_[777] * vX_[919];
+ vX_[2016] = vX_[1908] - vX_[2446];
+ vX_[1637] = vX_[2205] * vX_[128] + vX_[1764] * vX_[148] + vX_[1950] * vX_[164] + vX_[1637] * vX_[159] + vX_[3485] * vX_[919] + vX_[777] * vX_[901];
+ vX_[1950] = vX_[2016] * vX_[131] + vX_[1637] * vX_[137];
+ vX_[1764] = vX_[2016] * vX_[129] + vX_[1637] * vX_[131];
+ vX_[1908] = 0 - vX_[1908];
+ vX_[2205] = 0 - vX_[1637];
+ vX_[459] = (vX_[1908] * vX_[152] + vX_[2205] * vX_[143] + (0 - (vX_[2204] * vX_[148] + vX_[2313] * vX_[157] + vX_[1760] * vX_[159] + vX_[3485] * vX_[914] + vX_[3543] * vX_[901])) * 2.1e-05 + (0 - (vX_[2204] * vX_[128] + vX_[2313] * vX_[148] + vX_[459] * vX_[159] + vX_[3485] * vX_[910] + vX_[3113] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[1908] = vX_[516] * vX_[916] + vX_[1908] * vX_[153] + vX_[459];
+ vX_[2446] = 0 - vX_[2446];
+ vX_[572] = (vX_[2446] * vX_[143] + (0 - (vX_[1579] * vX_[148] + vX_[1826] * vX_[157] + vX_[3521] * vX_[164] + vX_[777] * vX_[914] + vX_[3543] * vX_[919])) * 2.1e-05 + (0 - (vX_[1579] * vX_[128] + vX_[1826] * vX_[148] + vX_[572] * vX_[164] + vX_[777] * vX_[910] + vX_[3113] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[2446] = vX_[515] * vX_[916] + vX_[2205] * vX_[153] + vX_[2446] * vX_[146] + vX_[572];
+ vX_[2646] = vX_[1727] + vX_[2415] * vX_[159] + vX_[2646] * vX_[164] * 2. + vX_[2622] * vX_[910] - vX_[2446];
+ vX_[3476] = 0 - (vX_[1035] + vX_[3476] * vX_[164] + vX_[2532] * vX_[159] * 2. + vX_[2622] * vX_[914]) + vX_[1908];
+ vX_[2532] = vX_[2532] + vX_[3543] * vX_[914];
+ vX_[3420] = vX_[3420] + vX_[3113] * vX_[910];
+ vX_[1035] = vX_[2532] - vX_[3420];
+ vX_[2415] = vX_[2415] + vX_[3543] * vX_[910] + vX_[3113] * vX_[914];
+ vX_[2622] = vX_[1035] * vX_[131] + vX_[2415] * vX_[137];
+ vX_[1727] = vX_[1035] * vX_[129] + vX_[2415] * vX_[131];
+ vX_[2205] = vX_[2622] * vX_[129] + vX_[1727] * vX_[131];
+ vX_[3521] = vX_[3420] + vX_[2622] * vX_[131];
+ vX_[1826] = vX_[3420] + vX_[1727] * vX_[129];
+ vX_[3420] = vX_[2532] + vX_[3420] + 0 - vX_[516] * vX_[925] - vX_[515] * vX_[889] - vX_[691] * vX_[927] + vX_[691] * vX_[916] - vX_[3492] * vX_[943] - vX_[3390] * vX_[940] - vX_[459] * vX_[153] - vX_[572] * vX_[146] - ((0 - vX_[2532]) * 2.1e-05 + (0 - vX_[2415]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[3420]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[3521] - vX_[1826];
+ vX_[2532] = 0 - vX_[3420];
+ vX_[572] = vX_[1908] * vX_[131] + vX_[2446] * vX_[137];
+ vX_[459] = vX_[572] + vX_[2532] * vX_[132];
+ vX_[3390] = vX_[1908] * vX_[129] + vX_[2446] * vX_[131];
+ vX_[3492] = vX_[3390] + vX_[3420] * vX_[130];
+ vX_[691] = 0 - vX_[1826];
+ jac[532] = 0 - (vX_[3485] * vX_[906] + vX_[777] * vX_[918] + vX_[3543] * vX_[942] + vX_[3113] * vX_[945] + vX_[2016] * vX_[170] + vX_[1637] * vX_[169] + vX_[1950] * -0.463218197356862 + vX_[1764] * -0.00370574557885489 + vX_[1908] * vX_[136] + vX_[2446] * vX_[141] + vX_[2646] * vX_[140] + vX_[3476] * vX_[135] + vX_[1035] * vX_[181] + vX_[2415] * vX_[180] + vX_[2622] * vX_[177] + vX_[1727] * vX_[179] + (vX_[2205] * vX_[139] + vX_[2532] * vX_[133] + vX_[3521] * vX_[134] + (0 - vX_[459]) * 0.417781802643138 + (0 - (vX_[2646] * vX_[129] + vX_[3476] * vX_[131]) + vX_[572] + vX_[3521] * vX_[132]) * 0.881 + (0 - vX_[3492]) * -0.00370574557885489 + vX_[2205] * -0.000881 + vX_[3521] * -0.22025) * -0.35 + vX_[2212] * vX_[904] + vX_[2098] * vX_[895] + vX_[2617] * vX_[897] + vX_[1976] * vX_[887] + (vX_[326] * vX_[906] + vX_[2212] * vX_[890]) * 0.35) * vX_[1000] + (vX_[3485] * vX_[918] + vX_[3543] * vX_[945] + vX_[2016] * vX_[169] + vX_[1950] * -0.00370574557885489 + vX_[1764] * -2.96459646308422e-05 + vX_[1908] * vX_[141] + vX_[2646] * vX_[135] + vX_[1035] * vX_[180] + vX_[2622] * vX_[179] + vX_[1727] * vX_[178] + vX_[2098] * vX_[904] + vX_[1976] * vX_[897] - (vX_[777] * vX_[906] + vX_[2212] * vX_[895]) + (vX_[326] * vX_[918] + vX_[3420] * vX_[138] + vX_[691] * vX_[139] + vX_[459] * -0.00370574557885489 + vX_[3492] * 0.880970354035369 + (0 - (vX_[2646] * vX_[131] + vX_[3476] * vX_[137] + vX_[3390] + vX_[2205] * vX_[132] + vX_[691] * vX_[130])) * 0.881 + (0 - vX_[2205]) * -0.110125 + (0 - vX_[1826]) * -0.001762 + vX_[2098] * vX_[890]) * 0.35 - (vX_[3113] * vX_[942] + vX_[1637] * vX_[170] + vX_[2446] * vX_[136] + vX_[3476] * vX_[140] + vX_[2415] * vX_[181] + vX_[2617] * vX_[887])) * vX_[269];
+ vX_[388] = vX_[3313] + vX_[2782] * vX_[148] + vX_[388] * vX_[159] + vX_[1945] * vX_[901];
+ vX_[3410] = vX_[3313] + vX_[2129] * vX_[128] + vX_[3410] * vX_[164] + vX_[2037] * vX_[919];
+ vX_[3313] = vX_[388] - vX_[3410];
+ vX_[2960] = vX_[2782] * vX_[128] + vX_[2129] * vX_[148] + vX_[2869] * vX_[164] + vX_[2960] * vX_[159] + vX_[1945] * vX_[919] + vX_[2037] * vX_[901];
+ vX_[2869] = vX_[3313] * vX_[131] + vX_[2960] * vX_[137];
+ vX_[2129] = vX_[3313] * vX_[129] + vX_[2960] * vX_[131];
+ vX_[388] = 0 - vX_[388];
+ vX_[2782] = 0 - vX_[2960];
+ vX_[2021] = (vX_[388] * vX_[152] + vX_[2782] * vX_[143] + (0 - (vX_[2948] * vX_[148] + vX_[2502] * vX_[157] + vX_[2497] * vX_[159] + vX_[1945] * vX_[914] + vX_[1555] * vX_[901])) * 2.1e-05 + (0 - (vX_[2948] * vX_[128] + vX_[2502] * vX_[148] + vX_[2021] * vX_[159] + vX_[1945] * vX_[910] + vX_[3619] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[388] = vX_[1244] * vX_[916] + vX_[388] * vX_[153] + vX_[2021];
+ vX_[3410] = 0 - vX_[3410];
+ vX_[1712] = (vX_[3410] * vX_[143] + (0 - (vX_[2542] * vX_[148] + vX_[2379] * vX_[157] + vX_[1383] * vX_[164] + vX_[2037] * vX_[914] + vX_[1555] * vX_[919])) * 2.1e-05 + (0 - (vX_[2542] * vX_[128] + vX_[2379] * vX_[148] + vX_[1712] * vX_[164] + vX_[2037] * vX_[910] + vX_[3619] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[3410] = vX_[2125] * vX_[916] + vX_[2782] * vX_[153] + vX_[3410] * vX_[146] + vX_[1712];
+ vX_[451] = vX_[2390] + vX_[3093] * vX_[159] + vX_[451] * vX_[164] * 2. + vX_[2963] * vX_[910] - vX_[3410];
+ vX_[1710] = 0 - (vX_[1986] + vX_[1710] * vX_[164] + vX_[2597] * vX_[159] * 2. + vX_[2963] * vX_[914]) + vX_[388];
+ vX_[2597] = vX_[2597] + vX_[1555] * vX_[914];
+ vX_[1866] = vX_[1866] + vX_[3619] * vX_[910];
+ vX_[1986] = vX_[2597] - vX_[1866];
+ vX_[3093] = vX_[3093] + vX_[1555] * vX_[910] + vX_[3619] * vX_[914];
+ vX_[2963] = vX_[1986] * vX_[131] + vX_[3093] * vX_[137];
+ vX_[2390] = vX_[1986] * vX_[129] + vX_[3093] * vX_[131];
+ vX_[2782] = vX_[2963] * vX_[129] + vX_[2390] * vX_[131];
+ vX_[1383] = vX_[1866] + vX_[2963] * vX_[131];
+ vX_[2379] = vX_[1866] + vX_[2390] * vX_[129];
+ vX_[1866] = vX_[2597] + vX_[1866] + 0 - vX_[1244] * vX_[925] - vX_[2125] * vX_[889] - vX_[1864] * vX_[927] + vX_[1864] * vX_[916] - vX_[1902] * vX_[943] - vX_[2708] * vX_[940] - vX_[2021] * vX_[153] - vX_[1712] * vX_[146] - ((0 - vX_[2597]) * 2.1e-05 + (0 - vX_[3093]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[1866]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[1383] - vX_[2379];
+ vX_[2597] = 0 - vX_[1866];
+ vX_[1712] = vX_[388] * vX_[131] + vX_[3410] * vX_[137];
+ vX_[2021] = vX_[1712] + vX_[2597] * vX_[132];
+ vX_[2708] = vX_[388] * vX_[129] + vX_[3410] * vX_[131];
+ vX_[1902] = vX_[2708] + vX_[1866] * vX_[130];
+ vX_[1864] = 0 - vX_[2379];
+ jac[533] = 0 - (vX_[1945] * vX_[906] + vX_[2037] * vX_[918] + vX_[1555] * vX_[942] + vX_[3619] * vX_[945] + vX_[3313] * vX_[170] + vX_[2960] * vX_[169] + vX_[2869] * -0.463218197356862 + vX_[2129] * -0.00370574557885489 + vX_[388] * vX_[136] + vX_[3410] * vX_[141] + vX_[451] * vX_[140] + vX_[1710] * vX_[135] + vX_[1986] * vX_[181] + vX_[3093] * vX_[180] + vX_[2963] * vX_[177] + vX_[2390] * vX_[179] + (vX_[2782] * vX_[139] + vX_[2597] * vX_[133] + vX_[1383] * vX_[134] + (0 - vX_[2021]) * 0.417781802643138 + (0 - (vX_[451] * vX_[129] + vX_[1710] * vX_[131]) + vX_[1712] + vX_[1383] * vX_[132]) * 0.881 + (0 - vX_[1902]) * -0.00370574557885489 + vX_[2782] * -0.000881 + vX_[1383] * -0.22025) * -0.35 + vX_[3029] * vX_[904] + vX_[2879] * vX_[895] + vX_[714] * vX_[897] + vX_[3103] * vX_[887] + (vX_[793] * vX_[906] + vX_[3029] * vX_[890]) * 0.35) * vX_[1000] + (vX_[1945] * vX_[918] + vX_[1555] * vX_[945] + vX_[3313] * vX_[169] + vX_[2869] * -0.00370574557885489 + vX_[2129] * -2.96459646308422e-05 + vX_[388] * vX_[141] + vX_[451] * vX_[135] + vX_[1986] * vX_[180] + vX_[2963] * vX_[179] + vX_[2390] * vX_[178] + vX_[2879] * vX_[904] + vX_[3103] * vX_[897] - (vX_[2037] * vX_[906] + vX_[3029] * vX_[895]) + (vX_[793] * vX_[918] + vX_[1866] * vX_[138] + vX_[1864] * vX_[139] + vX_[2021] * -0.00370574557885489 + vX_[1902] * 0.880970354035369 + (0 - (vX_[451] * vX_[131] + vX_[1710] * vX_[137] + vX_[2708] + vX_[2782] * vX_[132] + vX_[1864] * vX_[130])) * 0.881 + (0 - vX_[2782]) * -0.110125 + (0 - vX_[2379]) * -0.001762 + vX_[2879] * vX_[890]) * 0.35 - (vX_[3619] * vX_[942] + vX_[2960] * vX_[170] + vX_[3410] * vX_[136] + vX_[1710] * vX_[140] + vX_[3093] * vX_[181] + vX_[714] * vX_[887])) * vX_[269];
+ vX_[458] = vX_[1494] + vX_[1671] * vX_[148] + vX_[458] * vX_[159] + vX_[3436] * vX_[901];
+ vX_[1550] = vX_[1494] + vX_[1199] * vX_[128] + vX_[1550] * vX_[164] + vX_[757] * vX_[919];
+ vX_[1494] = vX_[458] - vX_[1550];
+ vX_[1558] = vX_[1671] * vX_[128] + vX_[1199] * vX_[148] + vX_[2558] * vX_[164] + vX_[1558] * vX_[159] + vX_[3436] * vX_[919] + vX_[757] * vX_[901];
+ vX_[2558] = vX_[1494] * vX_[131] + vX_[1558] * vX_[137];
+ vX_[1199] = vX_[1494] * vX_[129] + vX_[1558] * vX_[131];
+ vX_[458] = 0 - vX_[458];
+ vX_[1671] = 0 - vX_[1558];
+ vX_[773] = (vX_[458] * vX_[152] + vX_[1671] * vX_[143] + (0 - (vX_[2607] * vX_[148] + vX_[1077] * vX_[157] + vX_[2459] * vX_[159] + vX_[3436] * vX_[914] + vX_[3383] * vX_[901])) * 2.1e-05 + (0 - (vX_[2607] * vX_[128] + vX_[1077] * vX_[148] + vX_[773] * vX_[159] + vX_[3436] * vX_[910] + vX_[3560] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[458] = vX_[2460] * vX_[916] + vX_[458] * vX_[153] + vX_[773];
+ vX_[1550] = 0 - vX_[1550];
+ vX_[2583] = (vX_[1550] * vX_[143] + (0 - (vX_[1901] * vX_[148] + vX_[3357] * vX_[157] + vX_[1714] * vX_[164] + vX_[757] * vX_[914] + vX_[3383] * vX_[919])) * 2.1e-05 + (0 - (vX_[1901] * vX_[128] + vX_[3357] * vX_[148] + vX_[2583] * vX_[164] + vX_[757] * vX_[910] + vX_[3560] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[1550] = vX_[2196] * vX_[916] + vX_[1671] * vX_[153] + vX_[1550] * vX_[146] + vX_[2583];
+ vX_[2938] = vX_[1331] + vX_[1904] * vX_[159] + vX_[2938] * vX_[164] * 2. + vX_[564] * vX_[910] - vX_[1550];
+ vX_[2368] = 0 - (vX_[3488] + vX_[2368] * vX_[164] + vX_[1106] * vX_[159] * 2. + vX_[564] * vX_[914]) + vX_[458];
+ vX_[1106] = vX_[1106] + vX_[3383] * vX_[914];
+ vX_[2651] = vX_[2651] + vX_[3560] * vX_[910];
+ vX_[3488] = vX_[1106] - vX_[2651];
+ vX_[1904] = vX_[1904] + vX_[3383] * vX_[910] + vX_[3560] * vX_[914];
+ vX_[564] = vX_[3488] * vX_[131] + vX_[1904] * vX_[137];
+ vX_[1331] = vX_[3488] * vX_[129] + vX_[1904] * vX_[131];
+ vX_[1671] = vX_[564] * vX_[129] + vX_[1331] * vX_[131];
+ vX_[1714] = vX_[2651] + vX_[564] * vX_[131];
+ vX_[3357] = vX_[2651] + vX_[1331] * vX_[129];
+ vX_[2651] = vX_[1106] + vX_[2651] + 0 - vX_[2460] * vX_[925] - vX_[2196] * vX_[889] - vX_[2103] * vX_[927] + vX_[2103] * vX_[916] - vX_[2470] * vX_[943] - vX_[2817] * vX_[940] - vX_[773] * vX_[153] - vX_[2583] * vX_[146] - ((0 - vX_[1106]) * 2.1e-05 + (0 - vX_[1904]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[2651]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[1714] - vX_[3357];
+ vX_[1106] = 0 - vX_[2651];
+ vX_[2583] = vX_[458] * vX_[131] + vX_[1550] * vX_[137];
+ vX_[773] = vX_[2583] + vX_[1106] * vX_[132];
+ vX_[2817] = vX_[458] * vX_[129] + vX_[1550] * vX_[131];
+ vX_[2470] = vX_[2817] + vX_[2651] * vX_[130];
+ vX_[2103] = 0 - vX_[3357];
+ jac[534] = 0 - (vX_[3436] * vX_[906] + vX_[757] * vX_[918] + vX_[3383] * vX_[942] + vX_[3560] * vX_[945] + vX_[1494] * vX_[170] + vX_[1558] * vX_[169] + vX_[2558] * -0.463218197356862 + vX_[1199] * -0.00370574557885489 + vX_[458] * vX_[136] + vX_[1550] * vX_[141] + vX_[2938] * vX_[140] + vX_[2368] * vX_[135] + vX_[3488] * vX_[181] + vX_[1904] * vX_[180] + vX_[564] * vX_[177] + vX_[1331] * vX_[179] + (vX_[1671] * vX_[139] + vX_[1106] * vX_[133] + vX_[1714] * vX_[134] + (0 - vX_[773]) * 0.417781802643138 + (0 - (vX_[2938] * vX_[129] + vX_[2368] * vX_[131]) + vX_[2583] + vX_[1714] * vX_[132]) * 0.881 + (0 - vX_[2470]) * -0.00370574557885489 + vX_[1671] * -0.000881 + vX_[1714] * -0.22025) * -0.35 + vX_[2367] * vX_[904] + vX_[1341] * vX_[895] + vX_[1763] * vX_[897] + vX_[1297] * vX_[887] + (vX_[2175] * vX_[906] + vX_[2367] * vX_[890]) * 0.35) * vX_[1000] + (vX_[3436] * vX_[918] + vX_[3383] * vX_[945] + vX_[1494] * vX_[169] + vX_[2558] * -0.00370574557885489 + vX_[1199] * -2.96459646308422e-05 + vX_[458] * vX_[141] + vX_[2938] * vX_[135] + vX_[3488] * vX_[180] + vX_[564] * vX_[179] + vX_[1331] * vX_[178] + vX_[1341] * vX_[904] + vX_[1297] * vX_[897] - (vX_[757] * vX_[906] + vX_[2367] * vX_[895]) + (vX_[2175] * vX_[918] + vX_[2651] * vX_[138] + vX_[2103] * vX_[139] + vX_[773] * -0.00370574557885489 + vX_[2470] * 0.880970354035369 + (0 - (vX_[2938] * vX_[131] + vX_[2368] * vX_[137] + vX_[2817] + vX_[1671] * vX_[132] + vX_[2103] * vX_[130])) * 0.881 + (0 - vX_[1671]) * -0.110125 + (0 - vX_[3357]) * -0.001762 + vX_[1341] * vX_[890]) * 0.35 - (vX_[3560] * vX_[942] + vX_[1558] * vX_[170] + vX_[1550] * vX_[136] + vX_[2368] * vX_[140] + vX_[1904] * vX_[181] + vX_[1763] * vX_[887])) * vX_[269];
+ vX_[467] = vX_[2765] + vX_[1863] * vX_[148] + vX_[467] * vX_[159] + vX_[1883] * vX_[901];
+ vX_[1842] = vX_[2765] + vX_[1879] * vX_[128] + vX_[1842] * vX_[164] + vX_[1787] * vX_[919];
+ vX_[2765] = vX_[467] - vX_[1842];
+ vX_[2377] = vX_[1863] * vX_[128] + vX_[1879] * vX_[148] + vX_[2747] * vX_[164] + vX_[2377] * vX_[159] + vX_[1883] * vX_[919] + vX_[1787] * vX_[901];
+ vX_[2747] = vX_[2765] * vX_[131] + vX_[2377] * vX_[137];
+ vX_[1879] = vX_[2765] * vX_[129] + vX_[2377] * vX_[131];
+ vX_[903] = vX_[148] * vX_[1742] + vX_[903] * vX_[1413] + vX_[886] * vX_[1610] + vX_[901];
+ vX_[467] = 0 - vX_[467];
+ vX_[886] = 0 - vX_[2377];
+ vX_[2136] = (vX_[467] * vX_[152] + vX_[886] * vX_[143] + (0 - (vX_[2570] * vX_[148] + vX_[1789] * vX_[157] + vX_[683] * vX_[159] + vX_[1883] * vX_[914] + vX_[550] * vX_[901])) * 2.1e-05 + (0 - (vX_[2570] * vX_[128] + vX_[1789] * vX_[148] + vX_[2136] * vX_[159] + vX_[1883] * vX_[910] + vX_[1499] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[467] = vX_[2700] * vX_[903] + vX_[644] * vX_[916] + vX_[467] * vX_[153] + vX_[2136];
+ vX_[1742] = vX_[128] * vX_[1742] + vX_[148] * vX_[1413] + vX_[163] * vX_[1610] + vX_[919];
+ vX_[1842] = 0 - vX_[1842];
+ vX_[2745] = (vX_[1842] * vX_[143] + (0 - (vX_[1978] * vX_[148] + vX_[1769] * vX_[157] + vX_[1756] * vX_[164] + vX_[1787] * vX_[914] + vX_[550] * vX_[919])) * 2.1e-05 + (0 - (vX_[1978] * vX_[128] + vX_[1769] * vX_[148] + vX_[2745] * vX_[164] + vX_[1787] * vX_[910] + vX_[1499] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[1842] = vX_[2725] * vX_[1742] + vX_[738] * vX_[916] + vX_[886] * vX_[153] + vX_[1842] * vX_[146] + vX_[2745];
+ vX_[3275] = vX_[2740] + vX_[2179] * vX_[159] + vX_[3275] * vX_[164] * 2. + vX_[2792] * vX_[910] - vX_[1842];
+ vX_[1078] = 0 - (vX_[338] + vX_[1078] * vX_[164] + vX_[2762] * vX_[159] * 2. + vX_[2792] * vX_[914]) + vX_[467];
+ vX_[2762] = vX_[2762] + vX_[550] * vX_[914];
+ vX_[2178] = vX_[2178] + vX_[1499] * vX_[910];
+ vX_[338] = vX_[2762] - vX_[2178];
+ vX_[2179] = vX_[2179] + vX_[550] * vX_[910] + vX_[1499] * vX_[914];
+ vX_[2792] = vX_[338] * vX_[131] + vX_[2179] * vX_[137];
+ vX_[2740] = vX_[338] * vX_[129] + vX_[2179] * vX_[131];
+ vX_[886] = vX_[2792] * vX_[129] + vX_[2740] * vX_[131];
+ vX_[1610] = -1 * vX_[1610];
+ vX_[2647] = (vX_[916] - vX_[145] * vX_[1610] - 2.1e-05 * (vX_[148] * vX_[2647] + vX_[157] * vX_[2642] + vX_[914]) - -0.000102 * (vX_[128] * vX_[2647] + vX_[148] * vX_[2642] + vX_[910]) - vX_[152] * vX_[903] - vX_[143] * vX_[1742]) / vX_[145];
+ vX_[2642] = vX_[2178] + vX_[2792] * vX_[131];
+ vX_[2725] = vX_[2178] + vX_[2740] * vX_[129];
+ vX_[2178] = vX_[2762] + vX_[2178] + 0 - vX_[2785] * vX_[2647] + vX_[2748] * vX_[1610] - vX_[644] * vX_[925] - vX_[738] * vX_[889] - vX_[1081] * vX_[927] + vX_[1081] * vX_[916] - vX_[729] * vX_[943] - vX_[3312] * vX_[940] - vX_[2136] * vX_[153] - vX_[2745] * vX_[146] - ((0 - vX_[2762]) * 2.1e-05 + (0 - vX_[2179]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[2178]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[2642] - vX_[2725];
+ vX_[2762] = 0 - vX_[2178];
+ vX_[2745] = vX_[467] * vX_[131] + vX_[1842] * vX_[137];
+ vX_[2136] = vX_[2745] + vX_[2762] * vX_[132];
+ vX_[3312] = vX_[467] * vX_[129] + vX_[1842] * vX_[131];
+ vX_[729] = vX_[3312] + vX_[2178] * vX_[130];
+ vX_[1081] = 0 - vX_[2725];
+ jac[535] = 0 - (vX_[1883] * vX_[906] + vX_[1787] * vX_[918] + vX_[550] * vX_[942] + vX_[1499] * vX_[945] + vX_[2765] * vX_[170] + vX_[2377] * vX_[169] + vX_[2747] * -0.463218197356862 + vX_[1879] * -0.00370574557885489 + vX_[467] * vX_[136] + vX_[1842] * vX_[141] + vX_[3275] * vX_[140] + vX_[1078] * vX_[135] + vX_[338] * vX_[181] + vX_[2179] * vX_[180] + vX_[2792] * vX_[177] + vX_[2740] * vX_[179] + (vX_[886] * vX_[139] + vX_[2762] * vX_[133] + vX_[2642] * vX_[134] + (0 - vX_[2136]) * 0.417781802643138 + (0 - (vX_[3275] * vX_[129] + vX_[1078] * vX_[131]) + vX_[2745] + vX_[2642] * vX_[132]) * 0.881 + (0 - vX_[729]) * -0.00370574557885489 + vX_[886] * -0.000881 + vX_[2642] * -0.22025) * -0.35 + vX_[1859] * vX_[904] + vX_[1951] * vX_[895] + vX_[2526] * vX_[897] + vX_[2351] * vX_[887] + (vX_[3017] * vX_[906] + vX_[1859] * vX_[890]) * 0.35) * vX_[1000] + (vX_[1883] * vX_[918] + vX_[550] * vX_[945] + vX_[2765] * vX_[169] + vX_[2747] * -0.00370574557885489 + vX_[1879] * -2.96459646308422e-05 + vX_[467] * vX_[141] + vX_[3275] * vX_[135] + vX_[338] * vX_[180] + vX_[2792] * vX_[179] + vX_[2740] * vX_[178] + vX_[1951] * vX_[904] + vX_[2351] * vX_[897] - (vX_[1787] * vX_[906] + vX_[1859] * vX_[895]) + (vX_[3017] * vX_[918] + vX_[2178] * vX_[138] + vX_[1081] * vX_[139] + vX_[2136] * -0.00370574557885489 + vX_[729] * 0.880970354035369 + (0 - (vX_[3275] * vX_[131] + vX_[1078] * vX_[137] + vX_[3312] + vX_[886] * vX_[132] + vX_[1081] * vX_[130])) * 0.881 + (0 - vX_[886]) * -0.110125 + (0 - vX_[2725]) * -0.001762 + vX_[1951] * vX_[890]) * 0.35 - (vX_[1499] * vX_[942] + vX_[2377] * vX_[170] + vX_[1842] * vX_[136] + vX_[1078] * vX_[140] + vX_[2179] * vX_[181] + vX_[2526] * vX_[887])) * vX_[269];
+ vX_[2936] = vX_[3202] + vX_[2870] * vX_[148] + vX_[2936] * vX_[159] + vX_[2316] * vX_[901];
+ vX_[3005] = vX_[3202] + vX_[2824] * vX_[128] + vX_[3005] * vX_[164] + vX_[2121] * vX_[919];
+ vX_[3202] = vX_[2936] - vX_[3005];
+ vX_[3471] = vX_[2870] * vX_[128] + vX_[2824] * vX_[148] + vX_[2896] * vX_[164] + vX_[3471] * vX_[159] + vX_[2316] * vX_[919] + vX_[2121] * vX_[901];
+ vX_[2896] = vX_[3202] * vX_[131] + vX_[3471] * vX_[137];
+ vX_[2824] = vX_[3202] * vX_[129] + vX_[3471] * vX_[131];
+ vX_[2936] = 0 - vX_[2936];
+ vX_[2870] = 0 - vX_[3471];
+ vX_[2917] = (vX_[2936] * vX_[152] + vX_[2870] * vX_[143] + (0 - (vX_[2768] * vX_[148] + vX_[3208] * vX_[157] + vX_[1724] * vX_[159] + vX_[2316] * vX_[914] + vX_[1602] * vX_[901])) * 2.1e-05 + (0 - (vX_[2768] * vX_[128] + vX_[3208] * vX_[148] + vX_[2917] * vX_[159] + vX_[2316] * vX_[910] + vX_[1366] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[2936] = vX_[2865] * vX_[903] + vX_[1860] * vX_[916] + vX_[2936] * vX_[153] + vX_[2917];
+ vX_[3005] = 0 - vX_[3005];
+ vX_[2895] = (vX_[3005] * vX_[143] + (0 - (vX_[734] * vX_[148] + vX_[3448] * vX_[157] + vX_[3147] * vX_[164] + vX_[2121] * vX_[914] + vX_[1602] * vX_[919])) * 2.1e-05 + (0 - (vX_[734] * vX_[128] + vX_[3448] * vX_[148] + vX_[2895] * vX_[164] + vX_[2121] * vX_[910] + vX_[1366] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[3005] = vX_[2860] * vX_[1742] + vX_[3193] * vX_[916] + vX_[2870] * vX_[153] + vX_[3005] * vX_[146] + vX_[2895];
+ vX_[1733] = vX_[2639] + vX_[3199] * vX_[159] + vX_[1733] * vX_[164] * 2. + vX_[2818] * vX_[910] - vX_[3005];
+ vX_[1817] = 0 - (vX_[1069] + vX_[1817] * vX_[164] + vX_[2763] * vX_[159] * 2. + vX_[2818] * vX_[914]) + vX_[2936];
+ vX_[2763] = vX_[2763] + vX_[1602] * vX_[914];
+ vX_[1729] = vX_[1729] + vX_[1366] * vX_[910];
+ vX_[1069] = vX_[2763] - vX_[1729];
+ vX_[3199] = vX_[3199] + vX_[1602] * vX_[910] + vX_[1366] * vX_[914];
+ vX_[2818] = vX_[1069] * vX_[131] + vX_[3199] * vX_[137];
+ vX_[2639] = vX_[1069] * vX_[129] + vX_[3199] * vX_[131];
+ vX_[2870] = vX_[2818] * vX_[129] + vX_[2639] * vX_[131];
+ vX_[2860] = vX_[1729] + vX_[2818] * vX_[131];
+ vX_[3147] = vX_[1729] + vX_[2639] * vX_[129];
+ vX_[1729] = vX_[2763] + vX_[1729] + 0 - vX_[2934] * vX_[2647] + vX_[2897] * vX_[1610] - vX_[1860] * vX_[925] - vX_[3193] * vX_[889] - vX_[1882] * vX_[927] + vX_[1882] * vX_[916] - vX_[1372] * vX_[943] - vX_[1379] * vX_[940] - vX_[2917] * vX_[153] - vX_[2895] * vX_[146] - ((0 - vX_[2763]) * 2.1e-05 + (0 - vX_[3199]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[1729]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[2860] - vX_[3147];
+ vX_[2763] = 0 - vX_[1729];
+ vX_[2895] = vX_[2936] * vX_[131] + vX_[3005] * vX_[137];
+ vX_[2917] = vX_[2895] + vX_[2763] * vX_[132];
+ vX_[1379] = vX_[2936] * vX_[129] + vX_[3005] * vX_[131];
+ vX_[1372] = vX_[1379] + vX_[1729] * vX_[130];
+ vX_[2647] = vX_[1610] + vX_[2647];
+ vX_[1610] = 0 - vX_[3147];
+ jac[536] = 0 - (-4.20629464115198 * vX_[903] + -0.0336503571292158 * vX_[1742] + vX_[2316] * vX_[906] + vX_[2121] * vX_[918] + vX_[1602] * vX_[942] + vX_[1366] * vX_[945] + vX_[3202] * vX_[170] + vX_[3471] * vX_[169] + vX_[2896] * -0.463218197356862 + vX_[2824] * -0.00370574557885489 + vX_[2936] * vX_[136] + vX_[3005] * vX_[141] + vX_[1733] * vX_[140] + vX_[1817] * vX_[135] + vX_[1069] * vX_[181] + vX_[3199] * vX_[180] + vX_[2818] * vX_[177] + vX_[2639] * vX_[179] + (vX_[2870] * vX_[139] + vX_[2763] * vX_[133] + vX_[2860] * vX_[134] + (0 - vX_[2917]) * 0.417781802643138 + (0 - (vX_[1733] * vX_[129] + vX_[1817] * vX_[131]) + vX_[2895] + vX_[2860] * vX_[132]) * 0.881 + (0 - vX_[1372]) * -0.00370574557885489 + vX_[2870] * -0.000881 + vX_[2860] * -0.22025) * -0.35 + vX_[521] * vX_[904] + vX_[2966] * vX_[895] + vX_[3601] * vX_[897] + vX_[745] * vX_[887] + (-4.20629464115198 * vX_[2647] + vX_[1349] * vX_[906] + vX_[521] * vX_[890]) * 0.35) * vX_[1000] + (-0.0336503571292158 * vX_[903] + vX_[2316] * vX_[918] + vX_[1602] * vX_[945] + vX_[3202] * vX_[169] + vX_[2896] * -0.00370574557885489 + vX_[2824] * -2.96459646308422e-05 + vX_[2936] * vX_[141] + vX_[1733] * vX_[135] + vX_[1069] * vX_[180] + vX_[2818] * vX_[179] + vX_[2639] * vX_[178] + vX_[2966] * vX_[904] + vX_[745] * vX_[897] - (-4.20629464115198 * vX_[1742] + vX_[2121] * vX_[906] + vX_[521] * vX_[895]) + (-0.0336503571292158 * vX_[2647] + vX_[1349] * vX_[918] + vX_[1729] * vX_[138] + vX_[1610] * vX_[139] + vX_[2917] * -0.00370574557885489 + vX_[1372] * 0.880970354035369 + (0 - (vX_[1733] * vX_[131] + vX_[1817] * vX_[137] + vX_[1379] + vX_[2870] * vX_[132] + vX_[1610] * vX_[130])) * 0.881 + (0 - vX_[2870]) * -0.110125 + (0 - vX_[3147]) * -0.001762 + vX_[2966] * vX_[890]) * 0.35 - (vX_[1366] * vX_[942] + vX_[3471] * vX_[170] + vX_[3005] * vX_[136] + vX_[1817] * vX_[140] + vX_[3199] * vX_[181] + vX_[3601] * vX_[887])) * vX_[269];
+ vX_[3529] = vX_[332] + vX_[673] * vX_[148] + vX_[3529] * vX_[159] + vX_[3345] * vX_[901];
+ vX_[343] = vX_[332] + vX_[3531] * vX_[128] + vX_[343] * vX_[164] + vX_[3350] * vX_[919];
+ vX_[332] = vX_[3529] - vX_[343];
+ vX_[672] = vX_[673] * vX_[128] + vX_[3531] * vX_[148] + vX_[593] * vX_[164] + vX_[672] * vX_[159] + vX_[3345] * vX_[919] + vX_[3350] * vX_[901];
+ vX_[593] = vX_[332] * vX_[131] + vX_[672] * vX_[137];
+ vX_[3531] = vX_[332] * vX_[129] + vX_[672] * vX_[131];
+ vX_[3529] = 0 - vX_[3529];
+ vX_[673] = 0 - vX_[672];
+ vX_[2786] = (vX_[3529] * vX_[152] + vX_[673] * vX_[143] + (0 - (vX_[505] * vX_[148] + vX_[1767] * vX_[157] + vX_[1017] * vX_[159] + vX_[3345] * vX_[914] + vX_[3204] * vX_[901])) * 2.1e-05 + (0 - (vX_[505] * vX_[128] + vX_[1767] * vX_[148] + vX_[2786] * vX_[159] + vX_[3345] * vX_[910] + vX_[1905] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[3529] = vX_[2906] * vX_[916] + vX_[3529] * vX_[153] + vX_[2786];
+ vX_[343] = 0 - vX_[343];
+ vX_[2823] = (vX_[343] * vX_[143] + (0 - (vX_[3594] * vX_[148] + vX_[3517] * vX_[157] + vX_[741] * vX_[164] + vX_[3350] * vX_[914] + vX_[3204] * vX_[919])) * 2.1e-05 + (0 - (vX_[3594] * vX_[128] + vX_[3517] * vX_[148] + vX_[2823] * vX_[164] + vX_[3350] * vX_[910] + vX_[1905] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[343] = vX_[2656] * vX_[916] + vX_[673] * vX_[153] + vX_[343] * vX_[146] + vX_[2823];
+ vX_[286] = vX_[675] + vX_[503] * vX_[159] + vX_[286] * vX_[164] * 2. + vX_[652] * vX_[910] - vX_[343];
+ vX_[2961] = 0 - (vX_[1296] + vX_[2961] * vX_[164] + vX_[233] * vX_[159] * 2. + vX_[652] * vX_[914]) + vX_[3529];
+ vX_[233] = vX_[233] + vX_[3204] * vX_[914];
+ vX_[3440] = vX_[3440] + vX_[1905] * vX_[910];
+ vX_[1296] = vX_[233] - vX_[3440];
+ vX_[503] = vX_[503] + vX_[3204] * vX_[910] + vX_[1905] * vX_[914];
+ vX_[652] = vX_[1296] * vX_[131] + vX_[503] * vX_[137];
+ vX_[675] = vX_[1296] * vX_[129] + vX_[503] * vX_[131];
+ vX_[673] = vX_[652] * vX_[129] + vX_[675] * vX_[131];
+ vX_[741] = vX_[3440] + vX_[652] * vX_[131];
+ vX_[3517] = vX_[3440] + vX_[675] * vX_[129];
+ vX_[3440] = vX_[233] + vX_[3440] + 0 - vX_[2906] * vX_[925] - vX_[2656] * vX_[889] - vX_[2944] * vX_[927] + vX_[2944] * vX_[916] - vX_[1970] * vX_[943] - vX_[2304] * vX_[940] - vX_[2786] * vX_[153] - vX_[2823] * vX_[146] - ((0 - vX_[233]) * 2.1e-05 + (0 - vX_[503]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[3440]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[741] - vX_[3517];
+ vX_[233] = 0 - vX_[3440];
+ vX_[2823] = vX_[3529] * vX_[131] + vX_[343] * vX_[137];
+ vX_[2786] = vX_[2823] + vX_[233] * vX_[132];
+ vX_[2304] = vX_[3529] * vX_[129] + vX_[343] * vX_[131];
+ vX_[1970] = vX_[2304] + vX_[3440] * vX_[130];
+ vX_[2944] = 0 - vX_[3517];
+ jac[537] = 0 - (vX_[3345] * vX_[906] + vX_[3350] * vX_[918] + vX_[3204] * vX_[942] + vX_[1905] * vX_[945] + vX_[332] * vX_[170] + vX_[672] * vX_[169] + vX_[593] * -0.463218197356862 + vX_[3531] * -0.00370574557885489 + vX_[3529] * vX_[136] + vX_[343] * vX_[141] + vX_[286] * vX_[140] + vX_[2961] * vX_[135] + vX_[1296] * vX_[181] + vX_[503] * vX_[180] + vX_[652] * vX_[177] + vX_[675] * vX_[179] + (vX_[673] * vX_[139] + vX_[233] * vX_[133] + vX_[741] * vX_[134] + (0 - vX_[2786]) * 0.417781802643138 + (0 - (vX_[286] * vX_[129] + vX_[2961] * vX_[131]) + vX_[2823] + vX_[741] * vX_[132]) * 0.881 + (0 - vX_[1970]) * -0.00370574557885489 + vX_[673] * -0.000881 + vX_[741] * -0.22025) * -0.35 + vX_[614] * vX_[904] + vX_[613] * vX_[895] + vX_[3589] * vX_[897] + vX_[639] * vX_[887] + (vX_[1932] * vX_[906] + vX_[614] * vX_[890]) * 0.35) * vX_[1000] + (vX_[3345] * vX_[918] + vX_[3204] * vX_[945] + vX_[332] * vX_[169] + vX_[593] * -0.00370574557885489 + vX_[3531] * -2.96459646308422e-05 + vX_[3529] * vX_[141] + vX_[286] * vX_[135] + vX_[1296] * vX_[180] + vX_[652] * vX_[179] + vX_[675] * vX_[178] + vX_[613] * vX_[904] + vX_[639] * vX_[897] - (vX_[3350] * vX_[906] + vX_[614] * vX_[895]) + (vX_[1932] * vX_[918] + vX_[3440] * vX_[138] + vX_[2944] * vX_[139] + vX_[2786] * -0.00370574557885489 + vX_[1970] * 0.880970354035369 + (0 - (vX_[286] * vX_[131] + vX_[2961] * vX_[137] + vX_[2304] + vX_[673] * vX_[132] + vX_[2944] * vX_[130])) * 0.881 + (0 - vX_[673]) * -0.110125 + (0 - vX_[3517]) * -0.001762 + vX_[613] * vX_[890]) * 0.35 - (vX_[1905] * vX_[942] + vX_[672] * vX_[170] + vX_[343] * vX_[136] + vX_[2961] * vX_[140] + vX_[503] * vX_[181] + vX_[3589] * vX_[887])) * vX_[269];
+ vX_[966] = vX_[3688] + vX_[970] * vX_[148] + vX_[966] * vX_[159] + vX_[502] * vX_[901];
+ vX_[3682] = vX_[3688] + vX_[3576] * vX_[128] + vX_[3682] * vX_[164] + vX_[295] * vX_[919];
+ vX_[3688] = vX_[966] - vX_[3682];
+ vX_[3430] = vX_[970] * vX_[128] + vX_[3576] * vX_[148] + vX_[3658] * vX_[164] + vX_[3430] * vX_[159] + vX_[502] * vX_[919] + vX_[295] * vX_[901];
+ vX_[3658] = vX_[3688] * vX_[131] + vX_[3430] * vX_[137];
+ vX_[3576] = vX_[3688] * vX_[129] + vX_[3430] * vX_[131];
+ vX_[966] = 0 - vX_[966];
+ vX_[970] = 0 - vX_[3430];
+ vX_[3511] = (vX_[966] * vX_[152] + vX_[970] * vX_[143] + (0 - (vX_[3674] * vX_[148] + vX_[3579] * vX_[157] + vX_[3493] * vX_[159] + vX_[502] * vX_[914] + vX_[3453] * vX_[901])) * 2.1e-05 + (0 - (vX_[3674] * vX_[128] + vX_[3579] * vX_[148] + vX_[3511] * vX_[159] + vX_[502] * vX_[910] + vX_[395] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[966] = vX_[993] * vX_[916] + vX_[966] * vX_[153] + vX_[3511];
+ vX_[3682] = 0 - vX_[3682];
+ vX_[3510] = (vX_[3682] * vX_[143] + (0 - (vX_[3429] * vX_[148] + vX_[979] * vX_[157] + vX_[3413] * vX_[164] + vX_[295] * vX_[914] + vX_[3453] * vX_[919])) * 2.1e-05 + (0 - (vX_[3429] * vX_[128] + vX_[979] * vX_[148] + vX_[3510] * vX_[164] + vX_[295] * vX_[910] + vX_[395] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[3682] = vX_[3526] * vX_[916] + vX_[970] * vX_[153] + vX_[3682] * vX_[146] + vX_[3510];
+ vX_[3686] = vX_[3568] + vX_[3675] * vX_[159] + vX_[3686] * vX_[164] * 2. + vX_[3649] * vX_[910] - vX_[3682];
+ vX_[643] = 0 - (vX_[615] + vX_[643] * vX_[164] + vX_[3648] * vX_[159] * 2. + vX_[3649] * vX_[914]) + vX_[966];
+ vX_[3648] = vX_[3648] + vX_[3453] * vX_[914];
+ vX_[3509] = vX_[3509] + vX_[395] * vX_[910];
+ vX_[615] = vX_[3648] - vX_[3509];
+ vX_[3675] = vX_[3675] + vX_[3453] * vX_[910] + vX_[395] * vX_[914];
+ vX_[3649] = vX_[615] * vX_[131] + vX_[3675] * vX_[137];
+ vX_[3568] = vX_[615] * vX_[129] + vX_[3675] * vX_[131];
+ vX_[970] = vX_[3649] * vX_[129] + vX_[3568] * vX_[131];
+ vX_[3413] = vX_[3509] + vX_[3649] * vX_[131];
+ vX_[979] = vX_[3509] + vX_[3568] * vX_[129];
+ vX_[3509] = vX_[3648] + vX_[3509] + 0 - vX_[993] * vX_[925] - vX_[3526] * vX_[889] - vX_[3271] * vX_[927] + vX_[3271] * vX_[916] - vX_[3361] * vX_[943] - vX_[3259] * vX_[940] - vX_[3511] * vX_[153] - vX_[3510] * vX_[146] - ((0 - vX_[3648]) * 2.1e-05 + (0 - vX_[3675]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[3509]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[3413] - vX_[979];
+ vX_[3648] = 0 - vX_[3509];
+ vX_[3510] = vX_[966] * vX_[131] + vX_[3682] * vX_[137];
+ vX_[3511] = vX_[3510] + vX_[3648] * vX_[132];
+ vX_[3259] = vX_[966] * vX_[129] + vX_[3682] * vX_[131];
+ vX_[3361] = vX_[3259] + vX_[3509] * vX_[130];
+ vX_[3271] = 0 - vX_[979];
+ jac[538] = 0 - (vX_[502] * vX_[906] + vX_[295] * vX_[918] + vX_[3453] * vX_[942] + vX_[395] * vX_[945] + vX_[3688] * vX_[170] + vX_[3430] * vX_[169] + vX_[3658] * -0.463218197356862 + vX_[3576] * -0.00370574557885489 + vX_[966] * vX_[136] + vX_[3682] * vX_[141] + vX_[3686] * vX_[140] + vX_[643] * vX_[135] + vX_[615] * vX_[181] + vX_[3675] * vX_[180] + vX_[3649] * vX_[177] + vX_[3568] * vX_[179] + (vX_[970] * vX_[139] + vX_[3648] * vX_[133] + vX_[3413] * vX_[134] + (0 - vX_[3511]) * 0.417781802643138 + (0 - (vX_[3686] * vX_[129] + vX_[643] * vX_[131]) + vX_[3510] + vX_[3413] * vX_[132]) * 0.881 + (0 - vX_[3361]) * -0.00370574557885489 + vX_[970] * -0.000881 + vX_[3413] * -0.22025) * -0.35 + vX_[3655] * vX_[904] + vX_[3657] * vX_[895] + vX_[3693] * vX_[897] + vX_[3651] * vX_[887] + (vX_[717] * vX_[906] + vX_[3655] * vX_[890]) * 0.35) * vX_[1000] + (vX_[502] * vX_[918] + vX_[3453] * vX_[945] + vX_[3688] * vX_[169] + vX_[3658] * -0.00370574557885489 + vX_[3576] * -2.96459646308422e-05 + vX_[966] * vX_[141] + vX_[3686] * vX_[135] + vX_[615] * vX_[180] + vX_[3649] * vX_[179] + vX_[3568] * vX_[178] + vX_[3657] * vX_[904] + vX_[3651] * vX_[897] - (vX_[295] * vX_[906] + vX_[3655] * vX_[895]) + (vX_[717] * vX_[918] + vX_[3509] * vX_[138] + vX_[3271] * vX_[139] + vX_[3511] * -0.00370574557885489 + vX_[3361] * 0.880970354035369 + (0 - (vX_[3686] * vX_[131] + vX_[643] * vX_[137] + vX_[3259] + vX_[970] * vX_[132] + vX_[3271] * vX_[130])) * 0.881 + (0 - vX_[970]) * -0.110125 + (0 - vX_[979]) * -0.001762 + vX_[3657] * vX_[890]) * 0.35 - (vX_[395] * vX_[942] + vX_[3430] * vX_[170] + vX_[3682] * vX_[136] + vX_[643] * vX_[140] + vX_[3675] * vX_[181] + vX_[3693] * vX_[887])) * vX_[269];
+ vX_[487] = vX_[3774] + vX_[3734] * vX_[148] + vX_[487] * vX_[159] + vX_[3672] * vX_[901];
+ vX_[207] = vX_[3774] + vX_[3723] * vX_[128] + vX_[207] * vX_[164] + vX_[3671] * vX_[919];
+ vX_[3774] = vX_[487] - vX_[207];
+ vX_[195] = vX_[3734] * vX_[128] + vX_[3723] * vX_[148] + vX_[920] * vX_[164] + vX_[195] * vX_[159] + vX_[3672] * vX_[919] + vX_[3671] * vX_[901];
+ vX_[920] = vX_[3774] * vX_[131] + vX_[195] * vX_[137];
+ vX_[3723] = vX_[3774] * vX_[129] + vX_[195] * vX_[131];
+ vX_[487] = 0 - vX_[487];
+ vX_[3734] = 0 - vX_[195];
+ vX_[3768] = (vX_[487] * vX_[152] + vX_[3734] * vX_[143] + (0 - (vX_[206] * vX_[148] + vX_[3710] * vX_[157] + vX_[930] * vX_[159] + vX_[3672] * vX_[914] + vX_[1368] * vX_[901])) * 2.1e-05 + (0 - (vX_[206] * vX_[128] + vX_[3710] * vX_[148] + vX_[3768] * vX_[159] + vX_[3672] * vX_[910] + vX_[1437] * vX_[901])) * -0.000102) * 1 / vX_[145];
+ vX_[487] = vX_[3452] * vX_[916] + vX_[487] * vX_[153] + vX_[3768];
+ vX_[207] = 0 - vX_[207];
+ vX_[3732] = (vX_[207] * vX_[143] + (0 - (vX_[3760] * vX_[148] + vX_[127] * vX_[157] + vX_[929] * vX_[164] + vX_[3671] * vX_[914] + vX_[1368] * vX_[919])) * 2.1e-05 + (0 - (vX_[3760] * vX_[128] + vX_[127] * vX_[148] + vX_[3732] * vX_[164] + vX_[3671] * vX_[910] + vX_[1437] * vX_[919])) * -0.000102) * 1 / vX_[145];
+ vX_[207] = vX_[973] * vX_[916] + vX_[3734] * vX_[153] + vX_[207] * vX_[146] + vX_[3732];
+ vX_[496] = vX_[223] + vX_[3761] * vX_[159] + vX_[496] * vX_[164] * 2. + vX_[495] * vX_[910] - vX_[207];
+ vX_[3281] = 0 - (vX_[3654] + vX_[3281] * vX_[164] + vX_[3737] * vX_[159] * 2. + vX_[495] * vX_[914]) + vX_[487];
+ vX_[3737] = vX_[3737] + vX_[1368] * vX_[914];
+ vX_[3573] = vX_[3573] + vX_[1437] * vX_[910];
+ vX_[3654] = vX_[3737] - vX_[3573];
+ vX_[3761] = vX_[3761] + vX_[1368] * vX_[910] + vX_[1437] * vX_[914];
+ vX_[910] = vX_[3654] * vX_[131] + vX_[3761] * vX_[137];
+ vX_[914] = vX_[3654] * vX_[129] + vX_[3761] * vX_[131];
+ vX_[495] = vX_[910] * vX_[129] + vX_[914] * vX_[131];
+ vX_[164] = vX_[3573] + vX_[910] * vX_[131];
+ vX_[159] = vX_[3573] + vX_[914] * vX_[129];
+ vX_[3573] = vX_[3737] + vX_[3573] + 0 - vX_[3452] * vX_[925] - vX_[973] * vX_[889] - vX_[992] * vX_[927] + vX_[992] * vX_[916] - vX_[3585] * vX_[943] - vX_[2463] * vX_[940] - vX_[3768] * vX_[153] - vX_[3732] * vX_[146] - ((0 - vX_[3737]) * 2.1e-05 + (0 - vX_[3761]) * -0.000102) * 1 / vX_[145] * vX_[187] - (0 - vX_[3573]) * -0.000102 * 1 / vX_[145] * vX_[183] - vX_[164] - vX_[159];
+ vX_[3737] = 0 - vX_[3573];
+ vX_[3732] = vX_[487] * vX_[131] + vX_[207] * vX_[137];
+ vX_[3768] = vX_[3732] + vX_[3737] * vX_[132];
+ vX_[2463] = vX_[487] * vX_[129] + vX_[207] * vX_[131];
+ vX_[3585] = vX_[2463] + vX_[3573] * vX_[130];
+ vX_[992] = 0 - vX_[159];
+ jac[539] = 0 - (vX_[3672] * vX_[906] + vX_[3671] * vX_[918] + vX_[1368] * vX_[942] + vX_[1437] * vX_[945] + vX_[3774] * vX_[170] + vX_[195] * vX_[169] + vX_[920] * -0.463218197356862 + vX_[3723] * -0.00370574557885489 + vX_[487] * vX_[136] + vX_[207] * vX_[141] + vX_[496] * vX_[140] + vX_[3281] * vX_[135] + vX_[3654] * vX_[181] + vX_[3761] * vX_[180] + vX_[910] * vX_[177] + vX_[914] * vX_[179] + (vX_[495] * vX_[139] + vX_[3737] * vX_[133] + vX_[164] * vX_[134] + (0 - vX_[3768]) * 0.417781802643138 + (0 - (vX_[496] * vX_[129] + vX_[3281] * vX_[131]) + vX_[3732] + vX_[164] * vX_[132]) * 0.881 + (0 - vX_[3585]) * -0.00370574557885489 + vX_[495] * -0.000881 + vX_[164] * -0.22025) * -0.35 + vX_[3742] * vX_[904] + vX_[3744] * vX_[895] + vX_[3779] * vX_[897] + vX_[3738] * vX_[887] + (vX_[558] * vX_[906] + vX_[3742] * vX_[890]) * 0.35) * vX_[1000] + (vX_[3672] * vX_[918] + vX_[1368] * vX_[945] + vX_[3774] * vX_[169] + vX_[920] * -0.00370574557885489 + vX_[3723] * -2.96459646308422e-05 + vX_[487] * vX_[141] + vX_[496] * vX_[135] + vX_[3654] * vX_[180] + vX_[910] * vX_[179] + vX_[914] * vX_[178] + vX_[3744] * vX_[904] + vX_[3738] * vX_[897] - (vX_[3671] * vX_[906] + vX_[3742] * vX_[895]) + (vX_[558] * vX_[918] + vX_[3573] * vX_[138] + vX_[992] * vX_[139] + vX_[3768] * -0.00370574557885489 + vX_[3585] * 0.880970354035369 + (0 - (vX_[496] * vX_[131] + vX_[3281] * vX_[137] + vX_[2463] + vX_[495] * vX_[132] + vX_[992] * vX_[130])) * 0.881 + (0 - vX_[495]) * -0.110125 + (0 - vX_[159]) * -0.001762 + vX_[3744] * vX_[890]) * 0.35 - (vX_[1437] * vX_[942] + vX_[195] * vX_[170] + vX_[207] * vX_[136] + vX_[3281] * vX_[140] + vX_[3761] * vX_[181] + vX_[3779] * vX_[887])) * vX_[269];
+ vX_[992] = vX_[964] - vX_[713];
+ vX_[641] = vX_[701] + vX_[641];
+ vX_[830] = vX_[695] + vX_[830];
+ vX_[695] = 0 - vX_[830];
+ vX_[701] = vX_[992] * vX_[50];
+ vX_[3585] = vX_[992] * vX_[88];
+ vX_[805] = vX_[632] + vX_[805];
+ vX_[1045] = vX_[1039] + vX_[1045];
+ vX_[807] = vX_[600] + vX_[807];
+ vX_[749] = vX_[687] + vX_[749];
+ vX_[687] = vX_[749] * vX_[88] + vX_[807] * vX_[50];
+ vX_[600] = vX_[749] * vX_[101] + vX_[807] * vX_[88];
+ vX_[1044] = vX_[1029] + vX_[1044];
+ vX_[735] = 0 - (vX_[506] + vX_[735]) + vX_[1044];
+ vX_[506] = vX_[1037] - vX_[1036];
+ vX_[727] = vX_[625] + vX_[727];
+ vX_[1047] = vX_[1051] + vX_[1047];
+ vX_[1051] = 0 - vX_[1047];
+ vX_[625] = vX_[506] * vX_[50];
+ vX_[1029] = vX_[506] * vX_[88];
+ vX_[1039] = vX_[646] + vX_[631] * 0.207;
+ vX_[632] = vX_[676] * vX_[822] + vX_[685] * vX_[88] + vX_[631] * vX_[820] + vX_[755] * vX_[821] + vX_[761] * vX_[5];
+ vX_[2463] = vX_[631] * vX_[88] + vX_[755] * vX_[50];
+ vX_[3768] = vX_[1039] * vX_[833] + vX_[632] * vX_[64] + vX_[2463] * vX_[834];
+ vX_[3732] = vX_[1039] * vX_[819] + vX_[632] * vX_[9] + vX_[2463] * vX_[71];
+ vX_[3737] = vX_[3768] * 1 / vX_[41];
+ vX_[3573] = vX_[3732] * 1 / vX_[41];
+ vX_[159] = vX_[2463] * 1 / vX_[41];
+ vX_[164] = vX_[1039] * 1 / vX_[0];
+ vX_[495] = vX_[676] * vX_[88] + vX_[685] * vX_[50] + vX_[631] * vX_[102] + vX_[755] * vX_[100] + vX_[761] * vX_[811];
+ vX_[914] = vX_[495] * 1 / vX_[0];
+ vX_[910] = vX_[632] * 1 / vX_[0];
+ vX_[3761] = vX_[761] * 1 / vX_[0];
+ vX_[3654] = vX_[2463] * 1 / vX_[0];
+ vX_[3281] = vX_[631] * vX_[101] + vX_[755] * vX_[88];
+ vX_[496] = vX_[3281] * 1 / vX_[0];
+ vX_[207] = vX_[761] - (vX_[164] * vX_[97] + vX_[914] * vX_[27] + vX_[910] * vX_[17] + vX_[3761] * vX_[0] + vX_[3654] * vX_[110] + vX_[496] * vX_[119]);
+ vX_[487] = vX_[207] * vX_[4] + vX_[3281] * vX_[65];
+ vX_[3723] = vX_[487] * 1 / vX_[41];
+ vX_[920] = vX_[207] * vX_[65] + vX_[3281] * vX_[9];
+ vX_[195] = vX_[920] * 1 / vX_[41];
+ vX_[3774] = vX_[2463] - (vX_[3737] * vX_[26] + vX_[3573] * vX_[44] + vX_[159] * vX_[41] + vX_[3723] * vX_[32] + vX_[195] * vX_[69]);
+ vX_[269] = vX_[3768] * vX_[62] + vX_[3732] * vX_[76] + vX_[3774] * vX_[77];
+ vX_[1000] = vX_[3768] * vX_[76] + vX_[3732] * vX_[843] + vX_[3774] * vX_[844];
+ vX_[3738] = vX_[3774] - (vX_[1000] * 38.1956380581338 * 0.1104774 + vX_[269] * 38.1956380581338 * 0.0004405 + vX_[3774] * 38.1956380581338 * 0.026181);
+ vX_[3779] = vX_[487] * vX_[76] + vX_[920] * vX_[79];
+ vX_[3744] = vX_[269] * 0.881 + (0 - vX_[3738]) * -0.0004405 + vX_[3779] * 8.81e-05;
+ vX_[3742] = vX_[1000] * -0.881;
+ vX_[558] = vX_[3738] * 0.1104774;
+ vX_[1437] = vX_[487] * vX_[62] + vX_[920] * vX_[76];
+ vX_[1368] = vX_[1437] * 8.81e-05;
+ vX_[3671] = vX_[3742] - vX_[558] + vX_[1368];
+ vX_[3672] = vX_[3744] * vX_[841] + vX_[3671] * vX_[838];
+ vX_[945] = vX_[3732] * 3.146 + (0 - vX_[3774]) * 0.0825825;
+ vX_[942] = vX_[3768] * -3.146;
+ vX_[918] = vX_[3774] * 0.47422804;
+ vX_[906] = vX_[942] - vX_[918];
+ vX_[904] = vX_[3672] + vX_[945] * vX_[829] + vX_[906] * vX_[826];
+ vX_[897] = vX_[632] * 3.44 + vX_[2463] * 0.5824264;
+ vX_[895] = 0 - vX_[897];
+ vX_[890] = vX_[1039] * 3.44 + (0 - vX_[2463]) * 0.1466472;
+ vX_[887] = vX_[1039] * vX_[104] + vX_[495] * vX_[87] + vX_[632] * vX_[96] + vX_[2463] * vX_[477] + vX_[3281] * vX_[528];
+ vX_[181] = vX_[904] + vX_[895] * vX_[810] + vX_[890] * vX_[816] + vX_[887] * x_in[33];
+ vX_[180] = 0 - vX_[3744];
+ vX_[1368] = 0 - vX_[3742] + vX_[558] - vX_[1368];
+ vX_[558] = vX_[495] + vX_[207] * 0.08;
+ vX_[3742] = vX_[558] + vX_[487] * -0.35;
+ vX_[179] = vX_[3742] * -0.0004405 + vX_[1000] * 8.81e-05 + vX_[1437] * -0.000227999999999999;
+ vX_[178] = vX_[3742] * 0.1104774 + vX_[269] * 8.81e-05 + (0 - vX_[3779]) * 0.025713;
+ vX_[177] = (0 - vX_[1000]) * -0.0004405;
+ vX_[170] = (0 - vX_[269]) * 0.1104774;
+ vX_[169] = vX_[177] + vX_[170];
+ vX_[169] = vX_[180] * vX_[845] + vX_[1368] * vX_[836] + vX_[179] * vX_[841] + vX_[178] * vX_[838] + vX_[169] * vX_[832] + vX_[169] * vX_[832];
+ vX_[135] = vX_[3742] * 0.881 + (0 - vX_[3779]) * 0.1104774 + vX_[1437] * -0.0004405;
+ vX_[141] = vX_[1000] * -0.00185880198235362 + vX_[269] * 0.880992588508842 + vX_[3779] * 8.81e-05;
+ vX_[180] = vX_[180] * vX_[832] + vX_[135] * vX_[838] + vX_[141] * x_in[35];
+ vX_[140] = 0 - vX_[135];
+ vX_[139] = vX_[1000] * 0.414812462825713 + vX_[269] * -0.00185880198235362 + vX_[1437] * -8.81e-05;
+ vX_[1368] = vX_[1368] * vX_[832] + vX_[140] * vX_[841] - vX_[139] * x_in[35];
+ vX_[138] = 0 - vX_[945];
+ vX_[918] = 0 - vX_[942] + vX_[918];
+ vX_[942] = vX_[558] * 0.0825825 + (0 - vX_[3774]) * -0.000102 + vX_[487] * -0.007418 + vX_[920] * 0.002735;
+ vX_[137] = vX_[558] * 0.47422804 + vX_[3774] * 2.1e-05 + (0 - vX_[487]) * 0.084376 + (0 - vX_[920]) * -0.007418;
+ vX_[136] = (0 - vX_[3768]) * 0.0825825;
+ vX_[134] = (0 - vX_[3732]) * 0.47422804;
+ vX_[133] = vX_[487] * -0.000102;
+ vX_[132] = (0 - vX_[920]) * 2.1e-05;
+ vX_[131] = vX_[136] + vX_[134] + vX_[133] + vX_[132];
+ vX_[131] = vX_[169] + vX_[180] * vX_[844] + vX_[1368] * vX_[77] + vX_[138] * vX_[835] + vX_[918] * vX_[824] + vX_[942] * vX_[829] + vX_[137] * vX_[826] + vX_[131] * vX_[818] + vX_[131] * vX_[818];
+ vX_[130] = vX_[558] * 3.146 + (0 - vX_[487]) * 0.47422804 + vX_[920] * 0.0825825;
+ vX_[129] = vX_[3768] * vX_[73] + vX_[3732] * vX_[75] + vX_[487] * vX_[34] + vX_[920] * vX_[13];
+ vX_[138] = vX_[180] * vX_[76] + vX_[1368] * vX_[62] + vX_[138] * vX_[818] + vX_[130] * vX_[826] + vX_[129] * x_in[34];
+ vX_[973] = 0 - vX_[130];
+ vX_[3452] = vX_[3768] * vX_[80] + vX_[3732] * vX_[73] + vX_[487] * vX_[21] + vX_[920] * vX_[24];
+ vX_[918] = vX_[180] * vX_[843] + vX_[1368] * vX_[76] + vX_[918] * vX_[818] + vX_[973] * vX_[829] - vX_[3452] * x_in[34];
+ vX_[940] = 0 - vX_[890];
+ vX_[943] = vX_[495] * 0.5824264 + (0 - vX_[207]) * -0.022734 + vX_[2463] * -3.6e-05 + vX_[3281] * -0.133138;
+ vX_[927] = vX_[495] * 0.1466472 + vX_[207] * 0.009466 + (0 - vX_[2463]) * -5.1e-05 + vX_[3281] * -0.022734;
+ vX_[889] = (0 - vX_[1039]) * 0.5824264;
+ vX_[925] = (0 - vX_[632]) * 0.1466472;
+ vX_[916] = (0 - vX_[207]) * -3.6e-05;
+ vX_[187] = (0 - vX_[3281]) * -5.1e-05;
+ vX_[183] = vX_[889] + vX_[925] + vX_[916] - vX_[187];
+ vX_[153] = vX_[1039] * vX_[120] + vX_[495] * vX_[476] + vX_[632] * vX_[528] + vX_[2463] * vX_[527] + vX_[3281] * vX_[53];
+ vX_[183] = vX_[131] + vX_[138] * vX_[834] + vX_[918] * vX_[71] + vX_[897] * vX_[809] + vX_[940] * vX_[823] + vX_[943] * vX_[810] + vX_[927] * vX_[816] + vX_[183] * vX_[808] + vX_[183] * vX_[808] + vX_[153] * x_in[33];
+ vX_[146] = vX_[1019] - vX_[1036];
+ vX_[145] = vX_[146] * vX_[88] + vX_[727] * vX_[50];
+ vX_[223] = vX_[146] * vX_[101] + vX_[727] * vX_[88];
+ vX_[3734] = vX_[223] + vX_[625];
+ vX_[929] = vX_[145] * vX_[101] + vX_[3734] * vX_[88] + vX_[1029] * vX_[50];
+ vX_[127] = 0 - vX_[929];
+ vX_[3760] = vX_[1036] + vX_[145] * vX_[88] + vX_[625] * vX_[50];
+ vX_[919] = 0 - vX_[3760];
+ vX_[157] = vX_[1036] + vX_[223] * vX_[101] + vX_[1029] * vX_[88];
+ vX_[708] = vX_[538] + vX_[708] - vX_[1045];
+ vX_[538] = vX_[1044] * vX_[88] + vX_[1045] * vX_[50];
+ vX_[143] = 0 - (vX_[708] * vX_[101] + vX_[735] * vX_[88]) + vX_[538];
+ vX_[930] = vX_[143] + vX_[3760] * vX_[89];
+ vX_[3710] = 0 - vX_[930];
+ vX_[206] = vX_[1044] * vX_[101] + vX_[1045] * vX_[88];
+ vX_[901] = vX_[708] * vX_[88] + vX_[735] * vX_[50] + vX_[206];
+ vX_[152] = 0 - vX_[157];
+ vX_[3271] = vX_[901] + vX_[929] * vX_[89] + vX_[152] * vX_[5];
+ vX_[806] = vX_[693] + vX_[806];
+ vX_[693] = vX_[805] * vX_[88] + vX_[806] * vX_[101];
+ vX_[3361] = vX_[693] * vX_[88] + vX_[600] * vX_[50];
+ vX_[1027] = vX_[754] + vX_[1027];
+ vX_[1047] = 0 - vX_[1047];
+ vX_[754] = vX_[1027] * vX_[101] + vX_[1047] * vX_[88];
+ vX_[3259] = 0 - vX_[754];
+ vX_[3511] = vX_[3361] + vX_[3259] * vX_[5] + vX_[919] * vX_[103];
+ vX_[3510] = 0 - vX_[3511];
+ vX_[3648] = vX_[805] * vX_[50] + vX_[806] * vX_[88];
+ vX_[3509] = vX_[3648] * vX_[101] + vX_[687] * vX_[88];
+ vX_[979] = vX_[1027] * vX_[88] + vX_[1051] * vX_[50];
+ vX_[3413] = 0 - vX_[979];
+ vX_[970] = vX_[3509] + vX_[3413] * vX_[89] + vX_[157] * vX_[103];
+ vX_[3568] = vX_[3648] * vX_[88] + vX_[687] * vX_[50];
+ vX_[3649] = vX_[3568] + vX_[754] * vX_[89];
+ vX_[3675] = vX_[693] * vX_[101] + vX_[600] * vX_[88];
+ vX_[615] = vX_[3675] + vX_[979] * vX_[5] + vX_[127] * vX_[103];
+ vX_[643] = 0 - vX_[3649] + vX_[615];
+ vX_[3686] = 0 - vX_[929];
+ vX_[3682] = 0 - vX_[3760];
+ vX_[919] = vX_[127] * vX_[531] + vX_[919] * vX_[479] + vX_[157] * vX_[61] + vX_[3710] * vX_[104] + vX_[3271] * vX_[115] + vX_[3510] * vX_[96] + vX_[970] * vX_[90] + vX_[643] * vX_[87] + vX_[929] * vX_[525] + vX_[3686] * vX_[528] + vX_[3682] * vX_[478] + vX_[157] * vX_[482];
+ vX_[127] = vX_[495] * -3.44;
+ vX_[966] = vX_[207] * 0.1466472;
+ vX_[3576] = vX_[3281] * 0.5824264;
+ vX_[3658] = 0 - vX_[127] + vX_[966] - vX_[3576];
+ vX_[3430] = vX_[1039] * vX_[115] + vX_[495] * vX_[90] + vX_[632] * vX_[87] + vX_[2463] * vX_[525] + vX_[3281] * vX_[476];
+ vX_[940] = vX_[138] * vX_[64] + vX_[918] * vX_[9] + vX_[3658] * vX_[810] + vX_[940] * vX_[808] - vX_[3430] * x_in[33];
+ vX_[1036] = vX_[1019] + vX_[1037] + vX_[1036] - vX_[3760] - vX_[157];
+ vX_[1037] = 0 - vX_[1036];
+ vX_[538] = vX_[538] + vX_[1037] * vX_[89];
+ vX_[206] = vX_[206] + vX_[1036] * vX_[5];
+ vX_[1019] = 0 - vX_[3271];
+ vX_[3688] = 0 - vX_[970];
+ vX_[1046] = vX_[1049] + vX_[1046] + vX_[806] + vX_[807] - vX_[3568] - vX_[3675];
+ vX_[615] = vX_[1046] - vX_[615];
+ vX_[1049] = 0 - vX_[754];
+ vX_[3651] = 0 - vX_[929];
+ vX_[3693] = 0 - vX_[157];
+ vX_[3657] = vX_[698] - vX_[713];
+ vX_[712] = vX_[647] + vX_[712];
+ vX_[647] = vX_[3657] * vX_[88] + vX_[641] * vX_[50];
+ vX_[3655] = vX_[3657] * vX_[101] + vX_[641] * vX_[88];
+ vX_[3738] = vX_[1000] * 0.1104774 + vX_[269] * -0.0004405 + vX_[3738] * 0.025941;
+ vX_[717] = (0 - vX_[3742]) * 8.81e-05;
+ vX_[170] = vX_[717] + vX_[170];
+ vX_[1437] = vX_[3742] * -0.0004405 + vX_[1000] * -8.81e-05 + vX_[1437] * 0.000468;
+ vX_[170] = vX_[3744] * vX_[839] + vX_[140] * vX_[836] + vX_[179] * vX_[832] + vX_[3738] * vX_[838] + vX_[170] * vX_[841] + vX_[170] * vX_[841] + vX_[1437] * x_in[35];
+ vX_[717] = vX_[717] + vX_[177];
+ vX_[3742] = vX_[3742] * -0.1104774 + vX_[269] * 8.81e-05 + vX_[3779] * 0.026409;
+ jac[1278] = vX_[139] * vX_[850] + vX_[141] * vX_[845] + vX_[3742] * vX_[858] + vX_[1437] * vX_[841] + vX_[169];
+ vX_[3742] = vX_[3671] * vX_[839] + vX_[135] * vX_[845] + vX_[178] * vX_[832] + vX_[3738] * vX_[841] + vX_[717] * vX_[838] + vX_[717] * vX_[838] - vX_[3742] * x_in[35];
+ vX_[717] = vX_[3768] * 0.47422804 + vX_[3732] * 0.0825825 + vX_[3774] * 0.081641 + (0 - vX_[487]) * 2.1e-05 + vX_[920] * -0.000102;
+ vX_[3738] = (0 - vX_[3774]) * -0.007418;
+ vX_[132] = vX_[134] + vX_[3738] - vX_[132];
+ vX_[134] = vX_[558] * vX_[43] + vX_[3768] * vX_[24] + vX_[3732] * vX_[13] + vX_[487] * vX_[29] + vX_[920] * vX_[40];
+ vX_[132] = vX_[3672] * -0.35 + vX_[170] * vX_[76] + vX_[3742] * vX_[62] + vX_[945] * vX_[827] + vX_[973] * vX_[824] + vX_[942] * vX_[818] + vX_[717] * vX_[826] + vX_[132] * vX_[829] + vX_[132] * vX_[829] + vX_[134] * x_in[34];
+ vX_[3738] = vX_[136] - vX_[3738] - vX_[133];
+ vX_[133] = vX_[558] * vX_[30] + vX_[3768] * vX_[21] + vX_[3732] * vX_[34] + vX_[487] * vX_[7] + vX_[920] * vX_[29];
+ jac[1242] = vX_[3452] * vX_[868] + vX_[129] * vX_[835] + vX_[133] * vX_[865] + vX_[134] * vX_[829] + vX_[131];
+ vX_[133] = vX_[170] * vX_[79] + vX_[3742] * vX_[76] + vX_[906] * vX_[827] + vX_[130] * vX_[835] + vX_[137] * vX_[818] + vX_[717] * vX_[829] + vX_[3738] * vX_[826] + vX_[3738] * vX_[826] - vX_[133] * x_in[34];
+ vX_[3576] = vX_[127] - vX_[966] + vX_[3576];
+ vX_[966] = vX_[1039] * 0.1466472 + vX_[632] * 0.5824264 + vX_[207] * -5.1e-05 + (0 - vX_[2463]) * -0.123672 + (0 - vX_[3281]) * -3.6e-05;
+ vX_[127] = vX_[2463] * -0.022734;
+ vX_[916] = vX_[889] - vX_[916] - vX_[127];
+ vX_[889] = vX_[1039] * vX_[52] + vX_[495] * vX_[525] + vX_[632] * vX_[477] + vX_[2463] * vX_[475] + vX_[3281] * vX_[527];
+ vX_[916] = vX_[132] * vX_[65] + vX_[133] * vX_[9] + vX_[3576] * vX_[809] + vX_[890] * vX_[812] + vX_[966] * vX_[810] + vX_[927] * vX_[808] + vX_[916] * vX_[816] + vX_[916] * vX_[816] - vX_[889] * x_in[33];
+ vX_[927] = sin(x_in[15]);
+ vX_[830] = 0 - vX_[830];
+ vX_[890] = vX_[3655] + vX_[701];
+ vX_[3738] = 0 - vX_[538];
+ vX_[717] = 0 - vX_[206];
+ vX_[1046] = 0 - vX_[1046] + vX_[3649];
+ vX_[3649] = 0 - vX_[979];
+ vX_[130] = cos(x_in[15]);
+ jac[558] = 0 - (vX_[685] * vX_[859] + vX_[755] * vX_[848] + vX_[992] * vX_[661] + vX_[641] * vX_[663] + vX_[695] * vX_[104] + vX_[701] * vX_[594] + vX_[3585] * vX_[87] + vX_[805] * vX_[634] + vX_[1045] * vX_[112] + vX_[807] * vX_[608] + vX_[687] * vX_[530] + vX_[600] * vX_[610] + vX_[735] * vX_[121] + vX_[506] * vX_[535] + vX_[727] * vX_[537] + vX_[1051] * vX_[585] + vX_[625] * vX_[481] + vX_[1029] * vX_[532] + vX_[181] * x_in[22] + vX_[183] * x_in[19] + (vX_[631] * vX_[859] + vX_[919] * vX_[101] + vX_[181] * x_in[20]) * -0.3735 - (vX_[676] * vX_[883] + vX_[940] * x_in[23]) + (vX_[755] * vX_[883] + vX_[940] * x_in[19]) * -0.3735 + (vX_[761] * vX_[883] + vX_[3259] * vX_[479] + vX_[979] * vX_[531] + vX_[1036] * vX_[114] + vX_[152] * vX_[116] + vX_[538] * vX_[87] + vX_[206] * vX_[96] + vX_[1019] * vX_[99] + vX_[3688] * vX_[115] + vX_[615] * vX_[104] + vX_[1049] * vX_[477] + vX_[979] * vX_[528] + vX_[3651] * vX_[52] + vX_[3693] * vX_[484] + vX_[940] * x_in[18]) * 0.207 - (vX_[631] * vX_[853] + vX_[3657] * vX_[660] + vX_[712] * vX_[650] + vX_[647] * vX_[87] + vX_[3655] * vX_[627] + vX_[749] * vX_[611] + vX_[1044] * vX_[122] + vX_[806] * vX_[633] + vX_[3648] * vX_[607] + vX_[693] * vX_[609] + vX_[708] * vX_[111] + vX_[146] * vX_[534] + vX_[1027] * vX_[584] + vX_[145] * vX_[532] + vX_[223] * vX_[485] + vX_[919] * vX_[102] + vX_[916] * x_in[20])) * vX_[927] + (vX_[676] * vX_[859] + vX_[685] * vX_[883] + vX_[631] * vX_[848] + vX_[755] * vX_[853] + vX_[3657] * vX_[663] + vX_[992] * vX_[659] + vX_[641] * vX_[660] + vX_[712] * vX_[104] + vX_[830] * vX_[650] + vX_[647] * vX_[594] + vX_[890] * vX_[87] + vX_[3585] * vX_[627] + vX_[805] * vX_[633] + vX_[749] * vX_[608] + vX_[1044] * vX_[112] + vX_[1045] * vX_[122] + vX_[806] * vX_[634] + vX_[807] * vX_[611] + vX_[3648] * vX_[530] + vX_[693] * vX_[610] + vX_[687] * vX_[607] + vX_[600] * vX_[609] + vX_[708] * vX_[121] + vX_[735] * vX_[111] + vX_[146] * vX_[537] + vX_[506] * vX_[533] + vX_[727] * vX_[534] + vX_[1027] * vX_[585] + vX_[1047] * vX_[584] + vX_[145] * vX_[481] + vX_[3734] * vX_[532] + vX_[1029] * vX_[485] + vX_[919] * vX_[100] + (vX_[754] * vX_[529] + vX_[3413] * vX_[61] + vX_[929] * vX_[116] + vX_[1037] * vX_[91] + vX_[3760] * vX_[105] + vX_[3738] * vX_[90] + vX_[930] * vX_[99] + vX_[717] * vX_[87] + vX_[3511] * vX_[104] + vX_[1046] * vX_[115] + vX_[754] * vX_[525] + vX_[3649] * vX_[476] + vX_[929] * vX_[120] + vX_[3760] * vX_[473]) * 0.207 + vX_[181] * x_in[23] + vX_[940] * x_in[22] + vX_[183] * x_in[20] + vX_[916] * x_in[19] + (vX_[755] * vX_[859] + vX_[919] * vX_[88] + vX_[181] * x_in[19]) * 0.3735 + (vX_[761] * vX_[859] + vX_[181] * x_in[18]) * -0.207 + (vX_[631] * vX_[883] + vX_[940] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3657] = vX_[1145] - vX_[1043];
+ vX_[1140] = vX_[804] + vX_[1140];
+ vX_[1147] = vX_[1068] + vX_[1147];
+ vX_[1068] = 0 - vX_[1147];
+ vX_[804] = vX_[3657] * vX_[50];
+ vX_[1037] = vX_[3657] * vX_[88];
+ vX_[1143] = vX_[1101] + vX_[1143];
+ vX_[1178] = vX_[1172] + vX_[1178];
+ vX_[1141] = vX_[1170] + vX_[1141];
+ vX_[1064] = vX_[1159] + vX_[1064];
+ vX_[1159] = vX_[1064] * vX_[88] + vX_[1141] * vX_[50];
+ vX_[1170] = vX_[1064] * vX_[101] + vX_[1141] * vX_[88];
+ vX_[1177] = vX_[1161] + vX_[1177];
+ vX_[1023] = 0 - (vX_[1100] + vX_[1023]) + vX_[1177];
+ vX_[1100] = vX_[1169] - vX_[1168];
+ vX_[1139] = vX_[711] + vX_[1139];
+ vX_[1180] = vX_[1185] + vX_[1180];
+ vX_[1185] = 0 - vX_[1180];
+ vX_[711] = vX_[1100] * vX_[50];
+ vX_[1161] = vX_[1100] * vX_[88];
+ vX_[1172] = vX_[758] + vX_[1063] * 0.207;
+ vX_[1101] = vX_[1028] * vX_[822] + vX_[1096] * vX_[88] + vX_[1063] * vX_[820] + vX_[670] * vX_[821] + vX_[752] * vX_[5];
+ vX_[1036] = vX_[1063] * vX_[88] + vX_[670] * vX_[50];
+ vX_[919] = vX_[1172] * vX_[833] + vX_[1101] * vX_[64] + vX_[1036] * vX_[834];
+ vX_[3413] = vX_[1172] * vX_[819] + vX_[1101] * vX_[9] + vX_[1036] * vX_[71];
+ vX_[3648] = vX_[919] * 1 / vX_[41];
+ vX_[3259] = vX_[3413] * 1 / vX_[41];
+ vX_[1047] = vX_[1036] * 1 / vX_[41];
+ vX_[1027] = vX_[1172] * 1 / vX_[0];
+ vX_[693] = vX_[1028] * vX_[88] + vX_[1096] * vX_[50] + vX_[1063] * vX_[102] + vX_[670] * vX_[100] + vX_[752] * vX_[811];
+ vX_[806] = vX_[693] * 1 / vX_[0];
+ vX_[152] = vX_[1101] * 1 / vX_[0];
+ vX_[708] = vX_[752] * 1 / vX_[0];
+ vX_[3734] = vX_[1036] * 1 / vX_[0];
+ vX_[223] = vX_[1063] * vX_[101] + vX_[670] * vX_[88];
+ vX_[145] = vX_[223] * 1 / vX_[0];
+ vX_[146] = vX_[752] - (vX_[1027] * vX_[97] + vX_[806] * vX_[27] + vX_[152] * vX_[17] + vX_[708] * vX_[0] + vX_[3734] * vX_[110] + vX_[145] * vX_[119]);
+ vX_[1029] = vX_[146] * vX_[4] + vX_[223] * vX_[65];
+ vX_[625] = vX_[1029] * 1 / vX_[41];
+ vX_[1051] = vX_[146] * vX_[65] + vX_[223] * vX_[9];
+ vX_[727] = vX_[1051] * 1 / vX_[41];
+ vX_[506] = vX_[1036] - (vX_[3648] * vX_[26] + vX_[3259] * vX_[44] + vX_[1047] * vX_[41] + vX_[625] * vX_[32] + vX_[727] * vX_[69]);
+ vX_[735] = vX_[919] * vX_[62] + vX_[3413] * vX_[76] + vX_[506] * vX_[77];
+ vX_[1044] = vX_[919] * vX_[76] + vX_[3413] * vX_[843] + vX_[506] * vX_[844];
+ vX_[600] = vX_[506] - (vX_[1044] * 38.1956380581338 * 0.1104774 + vX_[735] * 38.1956380581338 * 0.0004405 + vX_[506] * 38.1956380581338 * 0.026181);
+ vX_[687] = vX_[1029] * vX_[76] + vX_[1051] * vX_[79];
+ vX_[749] = vX_[735] * 0.881 + (0 - vX_[600]) * -0.0004405 + vX_[687] * 8.81e-05;
+ vX_[807] = vX_[1044] * -0.881;
+ vX_[1045] = vX_[600] * 0.1104774;
+ vX_[805] = vX_[1029] * vX_[62] + vX_[1051] * vX_[76];
+ vX_[641] = vX_[805] * 8.81e-05;
+ vX_[992] = vX_[807] - vX_[1045] + vX_[641];
+ vX_[137] = vX_[749] * vX_[841] + vX_[992] * vX_[838];
+ vX_[906] = vX_[3413] * 3.146 + (0 - vX_[506]) * 0.0825825;
+ vX_[134] = vX_[919] * -3.146;
+ vX_[3452] = vX_[506] * 0.47422804;
+ vX_[129] = vX_[134] - vX_[3452];
+ vX_[131] = vX_[137] + vX_[906] * vX_[829] + vX_[129] * vX_[826];
+ vX_[136] = vX_[1101] * 3.44 + vX_[1036] * 0.5824264;
+ vX_[973] = 0 - vX_[136];
+ vX_[942] = vX_[1172] * 3.44 + (0 - vX_[1036]) * 0.1466472;
+ vX_[945] = vX_[1172] * vX_[104] + vX_[693] * vX_[87] + vX_[1101] * vX_[96] + vX_[1036] * vX_[477] + vX_[223] * vX_[528];
+ vX_[3672] = vX_[131] + vX_[973] * vX_[810] + vX_[942] * vX_[816] + vX_[945] * x_in[33];
+ vX_[135] = 0 - vX_[749];
+ vX_[641] = 0 - vX_[807] + vX_[1045] - vX_[641];
+ vX_[1045] = vX_[693] + vX_[146] * 0.08;
+ vX_[807] = vX_[1045] + vX_[1029] * -0.35;
+ vX_[178] = vX_[807] * -0.0004405 + vX_[1044] * 8.81e-05 + vX_[805] * -0.000227999999999999;
+ vX_[3671] = vX_[807] * 0.1104774 + vX_[735] * 8.81e-05 + (0 - vX_[687]) * 0.025713;
+ vX_[1437] = (0 - vX_[1044]) * -0.0004405;
+ vX_[139] = (0 - vX_[735]) * 0.1104774;
+ vX_[141] = vX_[1437] + vX_[139];
+ vX_[141] = vX_[135] * vX_[845] + vX_[641] * vX_[836] + vX_[178] * vX_[841] + vX_[3671] * vX_[838] + vX_[141] * vX_[832] + vX_[141] * vX_[832];
+ vX_[169] = vX_[807] * 0.881 + (0 - vX_[687]) * 0.1104774 + vX_[805] * -0.0004405;
+ vX_[3779] = vX_[1044] * -0.00185880198235362 + vX_[735] * 0.880992588508842 + vX_[687] * 8.81e-05;
+ vX_[135] = vX_[135] * vX_[832] + vX_[169] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[269] = 0 - vX_[169];
+ vX_[177] = vX_[1044] * 0.414812462825713 + vX_[735] * -0.00185880198235362 + vX_[805] * -8.81e-05;
+ vX_[641] = vX_[641] * vX_[832] + vX_[269] * vX_[841] - vX_[177] * x_in[35];
+ vX_[140] = 0 - vX_[906];
+ vX_[3452] = 0 - vX_[134] + vX_[3452];
+ vX_[134] = vX_[1045] * 0.0825825 + (0 - vX_[506]) * -0.000102 + vX_[1029] * -0.007418 + vX_[1051] * 0.002735;
+ vX_[179] = vX_[1045] * 0.47422804 + vX_[506] * 2.1e-05 + (0 - vX_[1029]) * 0.084376 + (0 - vX_[1051]) * -0.007418;
+ vX_[3744] = (0 - vX_[919]) * 0.0825825;
+ vX_[1000] = (0 - vX_[3413]) * 0.47422804;
+ vX_[395] = vX_[1029] * -0.000102;
+ vX_[3453] = (0 - vX_[1051]) * 2.1e-05;
+ vX_[295] = vX_[3744] + vX_[1000] + vX_[395] + vX_[3453];
+ vX_[295] = vX_[141] + vX_[135] * vX_[844] + vX_[641] * vX_[77] + vX_[140] * vX_[835] + vX_[3452] * vX_[824] + vX_[134] * vX_[829] + vX_[179] * vX_[826] + vX_[295] * vX_[818] + vX_[295] * vX_[818];
+ vX_[502] = vX_[1045] * 3.146 + (0 - vX_[1029]) * 0.47422804 + vX_[1051] * 0.0825825;
+ vX_[3526] = vX_[919] * vX_[73] + vX_[3413] * vX_[75] + vX_[1029] * vX_[34] + vX_[1051] * vX_[13];
+ vX_[140] = vX_[135] * vX_[76] + vX_[641] * vX_[62] + vX_[140] * vX_[818] + vX_[502] * vX_[826] + vX_[3526] * x_in[34];
+ vX_[993] = 0 - vX_[502];
+ vX_[3429] = vX_[919] * vX_[80] + vX_[3413] * vX_[73] + vX_[1029] * vX_[21] + vX_[1051] * vX_[24];
+ vX_[3452] = vX_[135] * vX_[843] + vX_[641] * vX_[76] + vX_[3452] * vX_[818] + vX_[993] * vX_[829] - vX_[3429] * x_in[34];
+ vX_[3493] = 0 - vX_[942];
+ vX_[3579] = vX_[693] * 0.5824264 + (0 - vX_[146]) * -0.022734 + vX_[1036] * -3.6e-05 + vX_[223] * -0.133138;
+ vX_[3674] = vX_[693] * 0.1466472 + vX_[146] * 0.009466 + (0 - vX_[1036]) * -5.1e-05 + vX_[223] * -0.022734;
+ vX_[2944] = (0 - vX_[1172]) * 0.5824264;
+ vX_[1970] = (0 - vX_[1101]) * 0.1466472;
+ vX_[2304] = (0 - vX_[146]) * -3.6e-05;
+ vX_[2786] = (0 - vX_[223]) * -5.1e-05;
+ vX_[2823] = vX_[2944] + vX_[1970] + vX_[2304] - vX_[2786];
+ vX_[233] = vX_[1172] * vX_[120] + vX_[693] * vX_[476] + vX_[1101] * vX_[528] + vX_[1036] * vX_[527] + vX_[223] * vX_[53];
+ vX_[2823] = vX_[295] + vX_[140] * vX_[834] + vX_[3452] * vX_[71] + vX_[136] * vX_[809] + vX_[3493] * vX_[823] + vX_[3579] * vX_[810] + vX_[3674] * vX_[816] + vX_[2823] * vX_[808] + vX_[2823] * vX_[808] + vX_[233] * x_in[33];
+ vX_[3440] = vX_[1150] - vX_[1168];
+ vX_[3517] = vX_[3440] * vX_[88] + vX_[1139] * vX_[50];
+ vX_[741] = vX_[3440] * vX_[101] + vX_[1139] * vX_[88];
+ vX_[673] = vX_[741] + vX_[711];
+ vX_[675] = vX_[3517] * vX_[101] + vX_[673] * vX_[88] + vX_[1161] * vX_[50];
+ vX_[652] = 0 - vX_[675];
+ vX_[503] = vX_[1168] + vX_[3517] * vX_[88] + vX_[711] * vX_[50];
+ vX_[1296] = 0 - vX_[503];
+ vX_[2961] = vX_[1168] + vX_[741] * vX_[101] + vX_[1161] * vX_[88];
+ vX_[1065] = vX_[1181] + vX_[1065] - vX_[1178];
+ vX_[1181] = vX_[1177] * vX_[88] + vX_[1178] * vX_[50];
+ vX_[286] = 0 - (vX_[1065] * vX_[101] + vX_[1023] * vX_[88]) + vX_[1181];
+ vX_[343] = vX_[286] + vX_[503] * vX_[89];
+ vX_[3529] = 0 - vX_[343];
+ vX_[3531] = vX_[1177] * vX_[101] + vX_[1178] * vX_[88];
+ vX_[593] = vX_[1065] * vX_[88] + vX_[1023] * vX_[50] + vX_[3531];
+ vX_[672] = 0 - vX_[2961];
+ vX_[332] = vX_[593] + vX_[675] * vX_[89] + vX_[672] * vX_[5];
+ vX_[1142] = vX_[1056] + vX_[1142];
+ vX_[1056] = vX_[1143] * vX_[88] + vX_[1142] * vX_[101];
+ vX_[639] = vX_[1056] * vX_[88] + vX_[1170] * vX_[50];
+ vX_[1158] = vX_[1040] + vX_[1158];
+ vX_[1180] = 0 - vX_[1180];
+ vX_[1040] = vX_[1158] * vX_[101] + vX_[1180] * vX_[88];
+ vX_[3589] = 0 - vX_[1040];
+ vX_[613] = vX_[639] + vX_[3589] * vX_[5] + vX_[1296] * vX_[103];
+ vX_[614] = 0 - vX_[613];
+ vX_[1932] = vX_[1143] * vX_[50] + vX_[1142] * vX_[88];
+ vX_[1905] = vX_[1932] * vX_[101] + vX_[1159] * vX_[88];
+ vX_[3204] = vX_[1158] * vX_[88] + vX_[1185] * vX_[50];
+ vX_[3350] = 0 - vX_[3204];
+ vX_[3345] = vX_[1905] + vX_[3350] * vX_[89] + vX_[2961] * vX_[103];
+ vX_[2656] = vX_[1932] * vX_[88] + vX_[1159] * vX_[50];
+ vX_[2906] = vX_[2656] + vX_[1040] * vX_[89];
+ vX_[3594] = vX_[1056] * vX_[101] + vX_[1170] * vX_[88];
+ vX_[1017] = vX_[3594] + vX_[3204] * vX_[5] + vX_[652] * vX_[103];
+ vX_[1767] = 0 - vX_[2906] + vX_[1017];
+ vX_[505] = 0 - vX_[675];
+ vX_[1610] = 0 - vX_[503];
+ vX_[1296] = vX_[652] * vX_[531] + vX_[1296] * vX_[479] + vX_[2961] * vX_[61] + vX_[3529] * vX_[104] + vX_[332] * vX_[115] + vX_[614] * vX_[96] + vX_[3345] * vX_[90] + vX_[1767] * vX_[87] + vX_[675] * vX_[525] + vX_[505] * vX_[528] + vX_[1610] * vX_[478] + vX_[2961] * vX_[482];
+ vX_[652] = vX_[693] * -3.44;
+ vX_[2647] = vX_[146] * 0.1466472;
+ vX_[1372] = vX_[223] * 0.5824264;
+ vX_[1379] = 0 - vX_[652] + vX_[2647] - vX_[1372];
+ vX_[2917] = vX_[1172] * vX_[115] + vX_[693] * vX_[90] + vX_[1101] * vX_[87] + vX_[1036] * vX_[525] + vX_[223] * vX_[476];
+ vX_[3493] = vX_[140] * vX_[64] + vX_[3452] * vX_[9] + vX_[1379] * vX_[810] + vX_[3493] * vX_[808] - vX_[2917] * x_in[33];
+ vX_[1168] = vX_[1150] + vX_[1169] + vX_[1168] - vX_[503] - vX_[2961];
+ vX_[1169] = 0 - vX_[1168];
+ vX_[1181] = vX_[1181] + vX_[1169] * vX_[89];
+ vX_[3531] = vX_[3531] + vX_[1168] * vX_[5];
+ vX_[1150] = 0 - vX_[332];
+ vX_[2895] = 0 - vX_[3345];
+ vX_[1179] = vX_[1183] + vX_[1179] + vX_[1142] + vX_[1141] - vX_[2656] - vX_[3594];
+ vX_[1017] = vX_[1179] - vX_[1017];
+ vX_[1183] = 0 - vX_[1040];
+ vX_[2763] = 0 - vX_[675];
+ vX_[1729] = 0 - vX_[2961];
+ vX_[3147] = vX_[1138] - vX_[1043];
+ vX_[1148] = vX_[1097] + vX_[1148];
+ vX_[1097] = vX_[3147] * vX_[88] + vX_[1140] * vX_[50];
+ vX_[2860] = vX_[3147] * vX_[101] + vX_[1140] * vX_[88];
+ vX_[600] = vX_[1044] * 0.1104774 + vX_[735] * -0.0004405 + vX_[600] * 0.025941;
+ vX_[2870] = (0 - vX_[807]) * 8.81e-05;
+ vX_[139] = vX_[2870] + vX_[139];
+ vX_[805] = vX_[807] * -0.0004405 + vX_[1044] * -8.81e-05 + vX_[805] * 0.000468;
+ vX_[139] = vX_[749] * vX_[839] + vX_[269] * vX_[836] + vX_[178] * vX_[832] + vX_[600] * vX_[838] + vX_[139] * vX_[841] + vX_[139] * vX_[841] + vX_[805] * x_in[35];
+ vX_[2870] = vX_[2870] + vX_[1437];
+ vX_[807] = vX_[807] * -0.1104774 + vX_[735] * 8.81e-05 + vX_[687] * 0.026409;
+ jac[1279] = vX_[177] * vX_[850] + vX_[3779] * vX_[845] + vX_[807] * vX_[858] + vX_[805] * vX_[841] + vX_[141];
+ vX_[807] = vX_[992] * vX_[839] + vX_[169] * vX_[845] + vX_[3671] * vX_[832] + vX_[600] * vX_[841] + vX_[2870] * vX_[838] + vX_[2870] * vX_[838] - vX_[807] * x_in[35];
+ vX_[2870] = vX_[919] * 0.47422804 + vX_[3413] * 0.0825825 + vX_[506] * 0.081641 + (0 - vX_[1029]) * 2.1e-05 + vX_[1051] * -0.000102;
+ vX_[600] = (0 - vX_[506]) * -0.007418;
+ vX_[3453] = vX_[1000] + vX_[600] - vX_[3453];
+ vX_[1000] = vX_[1045] * vX_[43] + vX_[919] * vX_[24] + vX_[3413] * vX_[13] + vX_[1029] * vX_[29] + vX_[1051] * vX_[40];
+ vX_[3453] = vX_[137] * -0.35 + vX_[139] * vX_[76] + vX_[807] * vX_[62] + vX_[906] * vX_[827] + vX_[993] * vX_[824] + vX_[134] * vX_[818] + vX_[2870] * vX_[826] + vX_[3453] * vX_[829] + vX_[3453] * vX_[829] + vX_[1000] * x_in[34];
+ vX_[600] = vX_[3744] - vX_[600] - vX_[395];
+ vX_[395] = vX_[1045] * vX_[30] + vX_[919] * vX_[21] + vX_[3413] * vX_[34] + vX_[1029] * vX_[7] + vX_[1051] * vX_[29];
+ jac[1243] = vX_[3429] * vX_[868] + vX_[3526] * vX_[835] + vX_[395] * vX_[865] + vX_[1000] * vX_[829] + vX_[295];
+ vX_[395] = vX_[139] * vX_[79] + vX_[807] * vX_[76] + vX_[129] * vX_[827] + vX_[502] * vX_[835] + vX_[179] * vX_[818] + vX_[2870] * vX_[829] + vX_[600] * vX_[826] + vX_[600] * vX_[826] - vX_[395] * x_in[34];
+ vX_[1372] = vX_[652] - vX_[2647] + vX_[1372];
+ vX_[2647] = vX_[1172] * 0.1466472 + vX_[1101] * 0.5824264 + vX_[146] * -5.1e-05 + (0 - vX_[1036]) * -0.123672 + (0 - vX_[223]) * -3.6e-05;
+ vX_[652] = vX_[1036] * -0.022734;
+ vX_[2304] = vX_[2944] - vX_[2304] - vX_[652];
+ vX_[2944] = vX_[1172] * vX_[52] + vX_[693] * vX_[525] + vX_[1101] * vX_[477] + vX_[1036] * vX_[475] + vX_[223] * vX_[527];
+ vX_[2304] = vX_[3453] * vX_[65] + vX_[395] * vX_[9] + vX_[1372] * vX_[809] + vX_[942] * vX_[812] + vX_[2647] * vX_[810] + vX_[3674] * vX_[808] + vX_[2304] * vX_[816] + vX_[2304] * vX_[816] - vX_[2944] * x_in[33];
+ vX_[1147] = 0 - vX_[1147];
+ vX_[3674] = vX_[2860] + vX_[804];
+ vX_[942] = 0 - vX_[1181];
+ vX_[600] = 0 - vX_[3531];
+ vX_[1179] = 0 - vX_[1179] + vX_[2906];
+ vX_[2906] = 0 - vX_[3204];
+ jac[559] = 0 - (vX_[1096] * vX_[859] + vX_[670] * vX_[848] + vX_[3657] * vX_[661] + vX_[1140] * vX_[663] + vX_[1068] * vX_[104] + vX_[804] * vX_[594] + vX_[1037] * vX_[87] + vX_[1143] * vX_[634] + vX_[1178] * vX_[112] + vX_[1141] * vX_[608] + vX_[1159] * vX_[530] + vX_[1170] * vX_[610] + vX_[1023] * vX_[121] + vX_[1100] * vX_[535] + vX_[1139] * vX_[537] + vX_[1185] * vX_[585] + vX_[711] * vX_[481] + vX_[1161] * vX_[532] + vX_[3672] * x_in[22] + vX_[2823] * x_in[19] + (vX_[1063] * vX_[859] + vX_[1296] * vX_[101] + vX_[3672] * x_in[20]) * -0.3735 - (vX_[1028] * vX_[883] + vX_[3493] * x_in[23]) + (vX_[670] * vX_[883] + vX_[3493] * x_in[19]) * -0.3735 + (vX_[752] * vX_[883] + vX_[3589] * vX_[479] + vX_[3204] * vX_[531] + vX_[1168] * vX_[114] + vX_[672] * vX_[116] + vX_[1181] * vX_[87] + vX_[3531] * vX_[96] + vX_[1150] * vX_[99] + vX_[2895] * vX_[115] + vX_[1017] * vX_[104] + vX_[1183] * vX_[477] + vX_[3204] * vX_[528] + vX_[2763] * vX_[52] + vX_[1729] * vX_[484] + vX_[3493] * x_in[18]) * 0.207 - (vX_[1063] * vX_[853] + vX_[3147] * vX_[660] + vX_[1148] * vX_[650] + vX_[1097] * vX_[87] + vX_[2860] * vX_[627] + vX_[1064] * vX_[611] + vX_[1177] * vX_[122] + vX_[1142] * vX_[633] + vX_[1932] * vX_[607] + vX_[1056] * vX_[609] + vX_[1065] * vX_[111] + vX_[3440] * vX_[534] + vX_[1158] * vX_[584] + vX_[3517] * vX_[532] + vX_[741] * vX_[485] + vX_[1296] * vX_[102] + vX_[2304] * x_in[20])) * vX_[927] + (vX_[1028] * vX_[859] + vX_[1096] * vX_[883] + vX_[1063] * vX_[848] + vX_[670] * vX_[853] + vX_[3147] * vX_[663] + vX_[3657] * vX_[659] + vX_[1140] * vX_[660] + vX_[1148] * vX_[104] + vX_[1147] * vX_[650] + vX_[1097] * vX_[594] + vX_[3674] * vX_[87] + vX_[1037] * vX_[627] + vX_[1143] * vX_[633] + vX_[1064] * vX_[608] + vX_[1177] * vX_[112] + vX_[1178] * vX_[122] + vX_[1142] * vX_[634] + vX_[1141] * vX_[611] + vX_[1932] * vX_[530] + vX_[1056] * vX_[610] + vX_[1159] * vX_[607] + vX_[1170] * vX_[609] + vX_[1065] * vX_[121] + vX_[1023] * vX_[111] + vX_[3440] * vX_[537] + vX_[1100] * vX_[533] + vX_[1139] * vX_[534] + vX_[1158] * vX_[585] + vX_[1180] * vX_[584] + vX_[3517] * vX_[481] + vX_[673] * vX_[532] + vX_[1161] * vX_[485] + vX_[1296] * vX_[100] + (vX_[1040] * vX_[529] + vX_[3350] * vX_[61] + vX_[675] * vX_[116] + vX_[1169] * vX_[91] + vX_[503] * vX_[105] + vX_[942] * vX_[90] + vX_[343] * vX_[99] + vX_[600] * vX_[87] + vX_[613] * vX_[104] + vX_[1179] * vX_[115] + vX_[1040] * vX_[525] + vX_[2906] * vX_[476] + vX_[675] * vX_[120] + vX_[503] * vX_[473]) * 0.207 + vX_[3672] * x_in[23] + vX_[3493] * x_in[22] + vX_[2823] * x_in[20] + vX_[2304] * x_in[19] + (vX_[670] * vX_[859] + vX_[1296] * vX_[88] + vX_[3672] * x_in[19]) * 0.3735 + (vX_[752] * vX_[859] + vX_[3672] * x_in[18]) * -0.207 + (vX_[1063] * vX_[883] + vX_[3493] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3147] = vX_[1274] - vX_[1144];
+ vX_[1268] = vX_[1230] + vX_[1268];
+ vX_[1276] = vX_[751] + vX_[1276];
+ vX_[751] = 0 - vX_[1276];
+ vX_[1230] = vX_[3147] * vX_[50];
+ vX_[1169] = vX_[3147] * vX_[88];
+ vX_[1271] = vX_[1279] + vX_[1271];
+ vX_[1309] = vX_[1303] + vX_[1309];
+ vX_[1269] = vX_[1301] + vX_[1269];
+ vX_[1176] = vX_[1290] + vX_[1176];
+ vX_[1290] = vX_[1176] * vX_[88] + vX_[1269] * vX_[50];
+ vX_[1301] = vX_[1176] * vX_[101] + vX_[1269] * vX_[88];
+ vX_[1308] = vX_[1292] + vX_[1308];
+ vX_[1201] = 0 - (vX_[1280] + vX_[1201]) + vX_[1308];
+ vX_[1280] = vX_[1300] - vX_[1299];
+ vX_[1267] = vX_[1171] + vX_[1267];
+ vX_[1311] = vX_[1316] + vX_[1311];
+ vX_[1316] = 0 - vX_[1311];
+ vX_[1171] = vX_[1280] * vX_[50];
+ vX_[1292] = vX_[1280] * vX_[88];
+ vX_[1303] = vX_[1160] + vX_[1184] * 0.207;
+ vX_[1279] = vX_[1229] * vX_[822] + vX_[1233] * vX_[88] + vX_[1184] * vX_[820] + vX_[1193] * vX_[821] + vX_[1061] * vX_[5];
+ vX_[1168] = vX_[1184] * vX_[88] + vX_[1193] * vX_[50];
+ vX_[1296] = vX_[1303] * vX_[833] + vX_[1279] * vX_[64] + vX_[1168] * vX_[834];
+ vX_[3350] = vX_[1303] * vX_[819] + vX_[1279] * vX_[9] + vX_[1168] * vX_[71];
+ vX_[1932] = vX_[1296] * 1 / vX_[41];
+ vX_[3589] = vX_[3350] * 1 / vX_[41];
+ vX_[1180] = vX_[1168] * 1 / vX_[41];
+ vX_[1158] = vX_[1303] * 1 / vX_[0];
+ vX_[1056] = vX_[1229] * vX_[88] + vX_[1233] * vX_[50] + vX_[1184] * vX_[102] + vX_[1193] * vX_[100] + vX_[1061] * vX_[811];
+ vX_[1142] = vX_[1056] * 1 / vX_[0];
+ vX_[672] = vX_[1279] * 1 / vX_[0];
+ vX_[1065] = vX_[1061] * 1 / vX_[0];
+ vX_[673] = vX_[1168] * 1 / vX_[0];
+ vX_[741] = vX_[1184] * vX_[101] + vX_[1193] * vX_[88];
+ vX_[3517] = vX_[741] * 1 / vX_[0];
+ vX_[3440] = vX_[1061] - (vX_[1158] * vX_[97] + vX_[1142] * vX_[27] + vX_[672] * vX_[17] + vX_[1065] * vX_[0] + vX_[673] * vX_[110] + vX_[3517] * vX_[119]);
+ vX_[1161] = vX_[3440] * vX_[4] + vX_[741] * vX_[65];
+ vX_[711] = vX_[1161] * 1 / vX_[41];
+ vX_[1185] = vX_[3440] * vX_[65] + vX_[741] * vX_[9];
+ vX_[1139] = vX_[1185] * 1 / vX_[41];
+ vX_[1100] = vX_[1168] - (vX_[1932] * vX_[26] + vX_[3589] * vX_[44] + vX_[1180] * vX_[41] + vX_[711] * vX_[32] + vX_[1139] * vX_[69]);
+ vX_[1023] = vX_[1296] * vX_[62] + vX_[3350] * vX_[76] + vX_[1100] * vX_[77];
+ vX_[1177] = vX_[1296] * vX_[76] + vX_[3350] * vX_[843] + vX_[1100] * vX_[844];
+ vX_[1170] = vX_[1100] - (vX_[1177] * 38.1956380581338 * 0.1104774 + vX_[1023] * 38.1956380581338 * 0.0004405 + vX_[1100] * 38.1956380581338 * 0.026181);
+ vX_[1159] = vX_[1161] * vX_[76] + vX_[1185] * vX_[79];
+ vX_[1064] = vX_[1023] * 0.881 + (0 - vX_[1170]) * -0.0004405 + vX_[1159] * 8.81e-05;
+ vX_[1141] = vX_[1177] * -0.881;
+ vX_[1178] = vX_[1170] * 0.1104774;
+ vX_[1143] = vX_[1161] * vX_[62] + vX_[1185] * vX_[76];
+ vX_[1140] = vX_[1143] * 8.81e-05;
+ vX_[3657] = vX_[1141] - vX_[1178] + vX_[1140];
+ vX_[2870] = vX_[1064] * vX_[841] + vX_[3657] * vX_[838];
+ vX_[502] = vX_[3350] * 3.146 + (0 - vX_[1100]) * 0.0825825;
+ vX_[179] = vX_[1296] * -3.146;
+ vX_[129] = vX_[1100] * 0.47422804;
+ vX_[1000] = vX_[179] - vX_[129];
+ vX_[3429] = vX_[2870] + vX_[502] * vX_[829] + vX_[1000] * vX_[826];
+ vX_[3526] = vX_[1279] * 3.44 + vX_[1168] * 0.5824264;
+ vX_[295] = 0 - vX_[3526];
+ vX_[3744] = vX_[1303] * 3.44 + (0 - vX_[1168]) * 0.1466472;
+ vX_[993] = vX_[1303] * vX_[104] + vX_[1056] * vX_[87] + vX_[1279] * vX_[96] + vX_[1168] * vX_[477] + vX_[741] * vX_[528];
+ vX_[134] = vX_[3429] + vX_[295] * vX_[810] + vX_[3744] * vX_[816] + vX_[993] * x_in[33];
+ vX_[906] = 0 - vX_[1064];
+ vX_[1140] = 0 - vX_[1141] + vX_[1178] - vX_[1140];
+ vX_[1178] = vX_[1056] + vX_[3440] * 0.08;
+ vX_[1141] = vX_[1178] + vX_[1161] * -0.35;
+ vX_[137] = vX_[1141] * -0.0004405 + vX_[1177] * 8.81e-05 + vX_[1143] * -0.000227999999999999;
+ vX_[169] = vX_[1141] * 0.1104774 + vX_[1023] * 8.81e-05 + (0 - vX_[1159]) * 0.025713;
+ vX_[3671] = (0 - vX_[1177]) * -0.0004405;
+ vX_[992] = (0 - vX_[1023]) * 0.1104774;
+ vX_[805] = vX_[3671] + vX_[992];
+ vX_[805] = vX_[906] * vX_[845] + vX_[1140] * vX_[836] + vX_[137] * vX_[841] + vX_[169] * vX_[838] + vX_[805] * vX_[832] + vX_[805] * vX_[832];
+ vX_[177] = vX_[1141] * 0.881 + (0 - vX_[1159]) * 0.1104774 + vX_[1143] * -0.0004405;
+ vX_[3779] = vX_[1177] * -0.00185880198235362 + vX_[1023] * 0.880992588508842 + vX_[1159] * 8.81e-05;
+ vX_[906] = vX_[906] * vX_[832] + vX_[177] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[141] = 0 - vX_[177];
+ vX_[687] = vX_[1177] * 0.414812462825713 + vX_[1023] * -0.00185880198235362 + vX_[1143] * -8.81e-05;
+ vX_[1140] = vX_[1140] * vX_[832] + vX_[141] * vX_[841] - vX_[687] * x_in[35];
+ vX_[735] = 0 - vX_[502];
+ vX_[129] = 0 - vX_[179] + vX_[129];
+ vX_[179] = vX_[1178] * 0.0825825 + (0 - vX_[1100]) * -0.000102 + vX_[1161] * -0.007418 + vX_[1185] * 0.002735;
+ vX_[1437] = vX_[1178] * 0.47422804 + vX_[1100] * 2.1e-05 + (0 - vX_[1161]) * 0.084376 + (0 - vX_[1185]) * -0.007418;
+ vX_[269] = (0 - vX_[1296]) * 0.0825825;
+ vX_[178] = (0 - vX_[3350]) * 0.47422804;
+ vX_[749] = vX_[1161] * -0.000102;
+ vX_[1044] = (0 - vX_[1185]) * 2.1e-05;
+ vX_[2639] = vX_[269] + vX_[178] + vX_[749] + vX_[1044];
+ vX_[2639] = vX_[805] + vX_[906] * vX_[844] + vX_[1140] * vX_[77] + vX_[735] * vX_[835] + vX_[129] * vX_[824] + vX_[179] * vX_[829] + vX_[1437] * vX_[826] + vX_[2639] * vX_[818] + vX_[2639] * vX_[818];
+ vX_[2818] = vX_[1178] * 3.146 + (0 - vX_[1161]) * 0.47422804 + vX_[1185] * 0.0825825;
+ vX_[3199] = vX_[1296] * vX_[73] + vX_[3350] * vX_[75] + vX_[1161] * vX_[34] + vX_[1185] * vX_[13];
+ vX_[735] = vX_[906] * vX_[76] + vX_[1140] * vX_[62] + vX_[735] * vX_[818] + vX_[2818] * vX_[826] + vX_[3199] * x_in[34];
+ vX_[1069] = 0 - vX_[2818];
+ vX_[1817] = vX_[1296] * vX_[80] + vX_[3350] * vX_[73] + vX_[1161] * vX_[21] + vX_[1185] * vX_[24];
+ vX_[129] = vX_[906] * vX_[843] + vX_[1140] * vX_[76] + vX_[129] * vX_[818] + vX_[1069] * vX_[829] - vX_[1817] * x_in[34];
+ vX_[1733] = 0 - vX_[3744];
+ vX_[3005] = vX_[1056] * 0.5824264 + (0 - vX_[3440]) * -0.022734 + vX_[1168] * -3.6e-05 + vX_[741] * -0.133138;
+ vX_[2936] = vX_[1056] * 0.1466472 + vX_[3440] * 0.009466 + (0 - vX_[1168]) * -5.1e-05 + vX_[741] * -0.022734;
+ vX_[2824] = (0 - vX_[1303]) * 0.5824264;
+ vX_[2896] = (0 - vX_[1279]) * 0.1466472;
+ vX_[3471] = (0 - vX_[3440]) * -3.6e-05;
+ vX_[3202] = (0 - vX_[741]) * -5.1e-05;
+ vX_[1742] = vX_[2824] + vX_[2896] + vX_[3471] - vX_[3202];
+ vX_[903] = vX_[1303] * vX_[120] + vX_[1056] * vX_[476] + vX_[1279] * vX_[528] + vX_[1168] * vX_[527] + vX_[741] * vX_[53];
+ vX_[1742] = vX_[2639] + vX_[735] * vX_[834] + vX_[129] * vX_[71] + vX_[3526] * vX_[809] + vX_[1733] * vX_[823] + vX_[3005] * vX_[810] + vX_[2936] * vX_[816] + vX_[1742] * vX_[808] + vX_[1742] * vX_[808] + vX_[903] * x_in[33];
+ vX_[745] = vX_[1281] - vX_[1299];
+ vX_[3601] = vX_[745] * vX_[88] + vX_[1267] * vX_[50];
+ vX_[2966] = vX_[745] * vX_[101] + vX_[1267] * vX_[88];
+ vX_[521] = vX_[2966] + vX_[1171];
+ vX_[1349] = vX_[3601] * vX_[101] + vX_[521] * vX_[88] + vX_[1292] * vX_[50];
+ vX_[1366] = 0 - vX_[1349];
+ vX_[1602] = vX_[1299] + vX_[3601] * vX_[88] + vX_[1171] * vX_[50];
+ vX_[2121] = 0 - vX_[1602];
+ vX_[2316] = vX_[1299] + vX_[2966] * vX_[101] + vX_[1292] * vX_[88];
+ vX_[1154] = vX_[1312] + vX_[1154] - vX_[1309];
+ vX_[1312] = vX_[1308] * vX_[88] + vX_[1309] * vX_[50];
+ vX_[1882] = 0 - (vX_[1154] * vX_[101] + vX_[1201] * vX_[88]) + vX_[1312];
+ vX_[3193] = vX_[1882] + vX_[1602] * vX_[89];
+ vX_[1860] = 0 - vX_[3193];
+ vX_[2897] = vX_[1308] * vX_[101] + vX_[1309] * vX_[88];
+ vX_[2934] = vX_[1154] * vX_[88] + vX_[1201] * vX_[50] + vX_[2897];
+ vX_[3448] = 0 - vX_[2316];
+ vX_[734] = vX_[2934] + vX_[1349] * vX_[89] + vX_[3448] * vX_[5];
+ vX_[1270] = vX_[1273] + vX_[1270];
+ vX_[1273] = vX_[1271] * vX_[88] + vX_[1270] * vX_[101];
+ vX_[2865] = vX_[1273] * vX_[88] + vX_[1301] * vX_[50];
+ vX_[1289] = vX_[1194] + vX_[1289];
+ vX_[1311] = 0 - vX_[1311];
+ vX_[1194] = vX_[1289] * vX_[101] + vX_[1311] * vX_[88];
+ vX_[1724] = 0 - vX_[1194];
+ vX_[3208] = vX_[2865] + vX_[1724] * vX_[5] + vX_[2121] * vX_[103];
+ vX_[2768] = 0 - vX_[3208];
+ vX_[1081] = vX_[1271] * vX_[50] + vX_[1270] * vX_[88];
+ vX_[729] = vX_[1081] * vX_[101] + vX_[1290] * vX_[88];
+ vX_[3312] = vX_[1289] * vX_[88] + vX_[1316] * vX_[50];
+ vX_[2136] = 0 - vX_[3312];
+ vX_[2745] = vX_[729] + vX_[2136] * vX_[89] + vX_[2316] * vX_[103];
+ vX_[2762] = vX_[1081] * vX_[88] + vX_[1290] * vX_[50];
+ vX_[2178] = vX_[2762] + vX_[1194] * vX_[89];
+ vX_[2725] = vX_[1273] * vX_[101] + vX_[1301] * vX_[88];
+ vX_[2642] = vX_[2725] + vX_[3312] * vX_[5] + vX_[1366] * vX_[103];
+ vX_[886] = 0 - vX_[2178] + vX_[2642];
+ vX_[2740] = 0 - vX_[1349];
+ vX_[2792] = 0 - vX_[1602];
+ vX_[2121] = vX_[1366] * vX_[531] + vX_[2121] * vX_[479] + vX_[2316] * vX_[61] + vX_[1860] * vX_[104] + vX_[734] * vX_[115] + vX_[2768] * vX_[96] + vX_[2745] * vX_[90] + vX_[886] * vX_[87] + vX_[1349] * vX_[525] + vX_[2740] * vX_[528] + vX_[2792] * vX_[478] + vX_[2316] * vX_[482];
+ vX_[1366] = vX_[1056] * -3.44;
+ vX_[2179] = vX_[3440] * 0.1466472;
+ vX_[338] = vX_[741] * 0.5824264;
+ vX_[1078] = 0 - vX_[1366] + vX_[2179] - vX_[338];
+ vX_[3275] = vX_[1303] * vX_[115] + vX_[1056] * vX_[90] + vX_[1279] * vX_[87] + vX_[1168] * vX_[525] + vX_[741] * vX_[476];
+ vX_[1733] = vX_[735] * vX_[64] + vX_[129] * vX_[9] + vX_[1078] * vX_[810] + vX_[1733] * vX_[808] - vX_[3275] * x_in[33];
+ vX_[1299] = vX_[1281] + vX_[1300] + vX_[1299] - vX_[1602] - vX_[2316];
+ vX_[1300] = 0 - vX_[1299];
+ vX_[1312] = vX_[1312] + vX_[1300] * vX_[89];
+ vX_[2897] = vX_[2897] + vX_[1299] * vX_[5];
+ vX_[1281] = 0 - vX_[734];
+ vX_[1842] = 0 - vX_[2745];
+ vX_[1310] = vX_[1314] + vX_[1310] + vX_[1270] + vX_[1269] - vX_[2762] - vX_[2725];
+ vX_[2642] = vX_[1310] - vX_[2642];
+ vX_[1314] = 0 - vX_[1194];
+ vX_[467] = 0 - vX_[1349];
+ vX_[1879] = 0 - vX_[2316];
+ vX_[2747] = vX_[1266] - vX_[1144];
+ vX_[1277] = vX_[1234] + vX_[1277];
+ vX_[1234] = vX_[2747] * vX_[88] + vX_[1268] * vX_[50];
+ vX_[2377] = vX_[2747] * vX_[101] + vX_[1268] * vX_[88];
+ vX_[1170] = vX_[1177] * 0.1104774 + vX_[1023] * -0.0004405 + vX_[1170] * 0.025941;
+ vX_[2765] = (0 - vX_[1141]) * 8.81e-05;
+ vX_[992] = vX_[2765] + vX_[992];
+ vX_[1143] = vX_[1141] * -0.0004405 + vX_[1177] * -8.81e-05 + vX_[1143] * 0.000468;
+ vX_[992] = vX_[1064] * vX_[839] + vX_[141] * vX_[836] + vX_[137] * vX_[832] + vX_[1170] * vX_[838] + vX_[992] * vX_[841] + vX_[992] * vX_[841] + vX_[1143] * x_in[35];
+ vX_[2765] = vX_[2765] + vX_[3671];
+ vX_[1141] = vX_[1141] * -0.1104774 + vX_[1023] * 8.81e-05 + vX_[1159] * 0.026409;
+ jac[1280] = vX_[687] * vX_[850] + vX_[3779] * vX_[845] + vX_[1141] * vX_[858] + vX_[1143] * vX_[841] + vX_[805];
+ vX_[1141] = vX_[3657] * vX_[839] + vX_[177] * vX_[845] + vX_[169] * vX_[832] + vX_[1170] * vX_[841] + vX_[2765] * vX_[838] + vX_[2765] * vX_[838] - vX_[1141] * x_in[35];
+ vX_[2765] = vX_[1296] * 0.47422804 + vX_[3350] * 0.0825825 + vX_[1100] * 0.081641 + (0 - vX_[1161]) * 2.1e-05 + vX_[1185] * -0.000102;
+ vX_[1170] = (0 - vX_[1100]) * -0.007418;
+ vX_[1044] = vX_[178] + vX_[1170] - vX_[1044];
+ vX_[178] = vX_[1178] * vX_[43] + vX_[1296] * vX_[24] + vX_[3350] * vX_[13] + vX_[1161] * vX_[29] + vX_[1185] * vX_[40];
+ vX_[1044] = vX_[2870] * -0.35 + vX_[992] * vX_[76] + vX_[1141] * vX_[62] + vX_[502] * vX_[827] + vX_[1069] * vX_[824] + vX_[179] * vX_[818] + vX_[2765] * vX_[826] + vX_[1044] * vX_[829] + vX_[1044] * vX_[829] + vX_[178] * x_in[34];
+ vX_[1170] = vX_[269] - vX_[1170] - vX_[749];
+ vX_[749] = vX_[1178] * vX_[30] + vX_[1296] * vX_[21] + vX_[3350] * vX_[34] + vX_[1161] * vX_[7] + vX_[1185] * vX_[29];
+ jac[1244] = vX_[1817] * vX_[868] + vX_[3199] * vX_[835] + vX_[749] * vX_[865] + vX_[178] * vX_[829] + vX_[2639];
+ vX_[749] = vX_[992] * vX_[79] + vX_[1141] * vX_[76] + vX_[1000] * vX_[827] + vX_[2818] * vX_[835] + vX_[1437] * vX_[818] + vX_[2765] * vX_[829] + vX_[1170] * vX_[826] + vX_[1170] * vX_[826] - vX_[749] * x_in[34];
+ vX_[338] = vX_[1366] - vX_[2179] + vX_[338];
+ vX_[2179] = vX_[1303] * 0.1466472 + vX_[1279] * 0.5824264 + vX_[3440] * -5.1e-05 + (0 - vX_[1168]) * -0.123672 + (0 - vX_[741]) * -3.6e-05;
+ vX_[1366] = vX_[1168] * -0.022734;
+ vX_[3471] = vX_[2824] - vX_[3471] - vX_[1366];
+ vX_[2824] = vX_[1303] * vX_[52] + vX_[1056] * vX_[525] + vX_[1279] * vX_[477] + vX_[1168] * vX_[475] + vX_[741] * vX_[527];
+ vX_[3471] = vX_[1044] * vX_[65] + vX_[749] * vX_[9] + vX_[338] * vX_[809] + vX_[3744] * vX_[812] + vX_[2179] * vX_[810] + vX_[2936] * vX_[808] + vX_[3471] * vX_[816] + vX_[3471] * vX_[816] - vX_[2824] * x_in[33];
+ vX_[1276] = 0 - vX_[1276];
+ vX_[2936] = vX_[2377] + vX_[1230];
+ vX_[3744] = 0 - vX_[1312];
+ vX_[1170] = 0 - vX_[2897];
+ vX_[1310] = 0 - vX_[1310] + vX_[2178];
+ vX_[2178] = 0 - vX_[3312];
+ jac[560] = 0 - (vX_[1233] * vX_[859] + vX_[1193] * vX_[848] + vX_[3147] * vX_[661] + vX_[1268] * vX_[663] + vX_[751] * vX_[104] + vX_[1230] * vX_[594] + vX_[1169] * vX_[87] + vX_[1271] * vX_[634] + vX_[1309] * vX_[112] + vX_[1269] * vX_[608] + vX_[1290] * vX_[530] + vX_[1301] * vX_[610] + vX_[1201] * vX_[121] + vX_[1280] * vX_[535] + vX_[1267] * vX_[537] + vX_[1316] * vX_[585] + vX_[1171] * vX_[481] + vX_[1292] * vX_[532] + vX_[134] * x_in[22] + vX_[1742] * x_in[19] + (vX_[1184] * vX_[859] + vX_[2121] * vX_[101] + vX_[134] * x_in[20]) * -0.3735 - (vX_[1229] * vX_[883] + vX_[1733] * x_in[23]) + (vX_[1193] * vX_[883] + vX_[1733] * x_in[19]) * -0.3735 + (vX_[1061] * vX_[883] + vX_[1724] * vX_[479] + vX_[3312] * vX_[531] + vX_[1299] * vX_[114] + vX_[3448] * vX_[116] + vX_[1312] * vX_[87] + vX_[2897] * vX_[96] + vX_[1281] * vX_[99] + vX_[1842] * vX_[115] + vX_[2642] * vX_[104] + vX_[1314] * vX_[477] + vX_[3312] * vX_[528] + vX_[467] * vX_[52] + vX_[1879] * vX_[484] + vX_[1733] * x_in[18]) * 0.207 - (vX_[1184] * vX_[853] + vX_[2747] * vX_[660] + vX_[1277] * vX_[650] + vX_[1234] * vX_[87] + vX_[2377] * vX_[627] + vX_[1176] * vX_[611] + vX_[1308] * vX_[122] + vX_[1270] * vX_[633] + vX_[1081] * vX_[607] + vX_[1273] * vX_[609] + vX_[1154] * vX_[111] + vX_[745] * vX_[534] + vX_[1289] * vX_[584] + vX_[3601] * vX_[532] + vX_[2966] * vX_[485] + vX_[2121] * vX_[102] + vX_[3471] * x_in[20])) * vX_[927] + (vX_[1229] * vX_[859] + vX_[1233] * vX_[883] + vX_[1184] * vX_[848] + vX_[1193] * vX_[853] + vX_[2747] * vX_[663] + vX_[3147] * vX_[659] + vX_[1268] * vX_[660] + vX_[1277] * vX_[104] + vX_[1276] * vX_[650] + vX_[1234] * vX_[594] + vX_[2936] * vX_[87] + vX_[1169] * vX_[627] + vX_[1271] * vX_[633] + vX_[1176] * vX_[608] + vX_[1308] * vX_[112] + vX_[1309] * vX_[122] + vX_[1270] * vX_[634] + vX_[1269] * vX_[611] + vX_[1081] * vX_[530] + vX_[1273] * vX_[610] + vX_[1290] * vX_[607] + vX_[1301] * vX_[609] + vX_[1154] * vX_[121] + vX_[1201] * vX_[111] + vX_[745] * vX_[537] + vX_[1280] * vX_[533] + vX_[1267] * vX_[534] + vX_[1289] * vX_[585] + vX_[1311] * vX_[584] + vX_[3601] * vX_[481] + vX_[521] * vX_[532] + vX_[1292] * vX_[485] + vX_[2121] * vX_[100] + (vX_[1194] * vX_[529] + vX_[2136] * vX_[61] + vX_[1349] * vX_[116] + vX_[1300] * vX_[91] + vX_[1602] * vX_[105] + vX_[3744] * vX_[90] + vX_[3193] * vX_[99] + vX_[1170] * vX_[87] + vX_[3208] * vX_[104] + vX_[1310] * vX_[115] + vX_[1194] * vX_[525] + vX_[2178] * vX_[476] + vX_[1349] * vX_[120] + vX_[1602] * vX_[473]) * 0.207 + vX_[134] * x_in[23] + vX_[1733] * x_in[22] + vX_[1742] * x_in[20] + vX_[3471] * x_in[19] + (vX_[1193] * vX_[859] + vX_[2121] * vX_[88] + vX_[134] * x_in[19]) * 0.3735 + (vX_[1061] * vX_[859] + vX_[134] * x_in[18]) * -0.207 + (vX_[1184] * vX_[883] + vX_[1733] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[2747] = vX_[1404] - vX_[1320];
+ vX_[1397] = vX_[1365] + vX_[1397];
+ vX_[1406] = vX_[1401] + vX_[1406];
+ vX_[1401] = 0 - vX_[1406];
+ vX_[1365] = vX_[2747] * vX_[50];
+ vX_[1300] = vX_[2747] * vX_[88];
+ vX_[1400] = vX_[1410] + vX_[1400];
+ vX_[1440] = vX_[1434] + vX_[1440];
+ vX_[1398] = vX_[1432] + vX_[1398];
+ vX_[1302] = vX_[1421] + vX_[1302];
+ vX_[1421] = vX_[1302] * vX_[88] + vX_[1398] * vX_[50];
+ vX_[1432] = vX_[1302] * vX_[101] + vX_[1398] * vX_[88];
+ vX_[1439] = vX_[1423] + vX_[1439];
+ vX_[1360] = 0 - (vX_[1411] + vX_[1360]) + vX_[1439];
+ vX_[1411] = vX_[1431] - vX_[1430];
+ vX_[1396] = vX_[1272] + vX_[1396];
+ vX_[1442] = vX_[1447] + vX_[1442];
+ vX_[1447] = 0 - vX_[1442];
+ vX_[1272] = vX_[1411] * vX_[50];
+ vX_[1423] = vX_[1411] * vX_[88];
+ vX_[1434] = vX_[1332] + vX_[1285] * 0.207;
+ vX_[1410] = vX_[1364] * vX_[822] + vX_[1361] * vX_[88] + vX_[1285] * vX_[820] + vX_[1326] * vX_[821] + vX_[1305] * vX_[5];
+ vX_[1299] = vX_[1285] * vX_[88] + vX_[1326] * vX_[50];
+ vX_[2121] = vX_[1434] * vX_[833] + vX_[1410] * vX_[64] + vX_[1299] * vX_[834];
+ vX_[2136] = vX_[1434] * vX_[819] + vX_[1410] * vX_[9] + vX_[1299] * vX_[71];
+ vX_[1081] = vX_[2121] * 1 / vX_[41];
+ vX_[1724] = vX_[2136] * 1 / vX_[41];
+ vX_[1311] = vX_[1299] * 1 / vX_[41];
+ vX_[1289] = vX_[1434] * 1 / vX_[0];
+ vX_[1273] = vX_[1364] * vX_[88] + vX_[1361] * vX_[50] + vX_[1285] * vX_[102] + vX_[1326] * vX_[100] + vX_[1305] * vX_[811];
+ vX_[1270] = vX_[1273] * 1 / vX_[0];
+ vX_[3448] = vX_[1410] * 1 / vX_[0];
+ vX_[1154] = vX_[1305] * 1 / vX_[0];
+ vX_[521] = vX_[1299] * 1 / vX_[0];
+ vX_[2966] = vX_[1285] * vX_[101] + vX_[1326] * vX_[88];
+ vX_[3601] = vX_[2966] * 1 / vX_[0];
+ vX_[745] = vX_[1305] - (vX_[1289] * vX_[97] + vX_[1270] * vX_[27] + vX_[3448] * vX_[17] + vX_[1154] * vX_[0] + vX_[521] * vX_[110] + vX_[3601] * vX_[119]);
+ vX_[1292] = vX_[745] * vX_[4] + vX_[2966] * vX_[65];
+ vX_[1171] = vX_[1292] * 1 / vX_[41];
+ vX_[1316] = vX_[745] * vX_[65] + vX_[2966] * vX_[9];
+ vX_[1267] = vX_[1316] * 1 / vX_[41];
+ vX_[1280] = vX_[1299] - (vX_[1081] * vX_[26] + vX_[1724] * vX_[44] + vX_[1311] * vX_[41] + vX_[1171] * vX_[32] + vX_[1267] * vX_[69]);
+ vX_[1201] = vX_[2121] * vX_[62] + vX_[2136] * vX_[76] + vX_[1280] * vX_[77];
+ vX_[1308] = vX_[2121] * vX_[76] + vX_[2136] * vX_[843] + vX_[1280] * vX_[844];
+ vX_[1301] = vX_[1280] - (vX_[1308] * 38.1956380581338 * 0.1104774 + vX_[1201] * 38.1956380581338 * 0.0004405 + vX_[1280] * 38.1956380581338 * 0.026181);
+ vX_[1290] = vX_[1292] * vX_[76] + vX_[1316] * vX_[79];
+ vX_[1176] = vX_[1201] * 0.881 + (0 - vX_[1301]) * -0.0004405 + vX_[1290] * 8.81e-05;
+ vX_[1269] = vX_[1308] * -0.881;
+ vX_[1309] = vX_[1301] * 0.1104774;
+ vX_[1271] = vX_[1292] * vX_[62] + vX_[1316] * vX_[76];
+ vX_[1268] = vX_[1271] * 8.81e-05;
+ vX_[3147] = vX_[1269] - vX_[1309] + vX_[1268];
+ vX_[2765] = vX_[1176] * vX_[841] + vX_[3147] * vX_[838];
+ vX_[2818] = vX_[2136] * 3.146 + (0 - vX_[1280]) * 0.0825825;
+ vX_[1437] = vX_[2121] * -3.146;
+ vX_[1000] = vX_[1280] * 0.47422804;
+ vX_[178] = vX_[1437] - vX_[1000];
+ vX_[1817] = vX_[2765] + vX_[2818] * vX_[829] + vX_[178] * vX_[826];
+ vX_[3199] = vX_[1410] * 3.44 + vX_[1299] * 0.5824264;
+ vX_[2639] = 0 - vX_[3199];
+ vX_[269] = vX_[1434] * 3.44 + (0 - vX_[1299]) * 0.1466472;
+ vX_[1069] = vX_[1434] * vX_[104] + vX_[1273] * vX_[87] + vX_[1410] * vX_[96] + vX_[1299] * vX_[477] + vX_[2966] * vX_[528];
+ vX_[179] = vX_[1817] + vX_[2639] * vX_[810] + vX_[269] * vX_[816] + vX_[1069] * x_in[33];
+ vX_[502] = 0 - vX_[1176];
+ vX_[1268] = 0 - vX_[1269] + vX_[1309] - vX_[1268];
+ vX_[1309] = vX_[1273] + vX_[745] * 0.08;
+ vX_[1269] = vX_[1309] + vX_[1292] * -0.35;
+ vX_[2870] = vX_[1269] * -0.0004405 + vX_[1308] * 8.81e-05 + vX_[1271] * -0.000227999999999999;
+ vX_[177] = vX_[1269] * 0.1104774 + vX_[1201] * 8.81e-05 + (0 - vX_[1290]) * 0.025713;
+ vX_[169] = (0 - vX_[1308]) * -0.0004405;
+ vX_[3657] = (0 - vX_[1201]) * 0.1104774;
+ vX_[1143] = vX_[169] + vX_[3657];
+ vX_[1143] = vX_[502] * vX_[845] + vX_[1268] * vX_[836] + vX_[2870] * vX_[841] + vX_[177] * vX_[838] + vX_[1143] * vX_[832] + vX_[1143] * vX_[832];
+ vX_[687] = vX_[1269] * 0.881 + (0 - vX_[1290]) * 0.1104774 + vX_[1271] * -0.0004405;
+ vX_[3779] = vX_[1308] * -0.00185880198235362 + vX_[1201] * 0.880992588508842 + vX_[1290] * 8.81e-05;
+ vX_[502] = vX_[502] * vX_[832] + vX_[687] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[805] = 0 - vX_[687];
+ vX_[1159] = vX_[1308] * 0.414812462825713 + vX_[1201] * -0.00185880198235362 + vX_[1271] * -8.81e-05;
+ vX_[1268] = vX_[1268] * vX_[832] + vX_[805] * vX_[841] - vX_[1159] * x_in[35];
+ vX_[1023] = 0 - vX_[2818];
+ vX_[1000] = 0 - vX_[1437] + vX_[1000];
+ vX_[1437] = vX_[1309] * 0.0825825 + (0 - vX_[1280]) * -0.000102 + vX_[1292] * -0.007418 + vX_[1316] * 0.002735;
+ vX_[3671] = vX_[1309] * 0.47422804 + vX_[1280] * 2.1e-05 + (0 - vX_[1292]) * 0.084376 + (0 - vX_[1316]) * -0.007418;
+ vX_[141] = (0 - vX_[2121]) * 0.0825825;
+ vX_[137] = (0 - vX_[2136]) * 0.47422804;
+ vX_[1064] = vX_[1292] * -0.000102;
+ vX_[1177] = (0 - vX_[1316]) * 2.1e-05;
+ vX_[2351] = vX_[141] + vX_[137] + vX_[1064] + vX_[1177];
+ vX_[2351] = vX_[1143] + vX_[502] * vX_[844] + vX_[1268] * vX_[77] + vX_[1023] * vX_[835] + vX_[1000] * vX_[824] + vX_[1437] * vX_[829] + vX_[3671] * vX_[826] + vX_[2351] * vX_[818] + vX_[2351] * vX_[818];
+ vX_[2526] = vX_[1309] * 3.146 + (0 - vX_[1292]) * 0.47422804 + vX_[1316] * 0.0825825;
+ vX_[1951] = vX_[2121] * vX_[73] + vX_[2136] * vX_[75] + vX_[1292] * vX_[34] + vX_[1316] * vX_[13];
+ vX_[1023] = vX_[502] * vX_[76] + vX_[1268] * vX_[62] + vX_[1023] * vX_[818] + vX_[2526] * vX_[826] + vX_[1951] * x_in[34];
+ vX_[1859] = 0 - vX_[2526];
+ vX_[3017] = vX_[2121] * vX_[80] + vX_[2136] * vX_[73] + vX_[1292] * vX_[21] + vX_[1316] * vX_[24];
+ vX_[1000] = vX_[502] * vX_[843] + vX_[1268] * vX_[76] + vX_[1000] * vX_[818] + vX_[1859] * vX_[829] - vX_[3017] * x_in[34];
+ vX_[1499] = 0 - vX_[269];
+ vX_[550] = vX_[1273] * 0.5824264 + (0 - vX_[745]) * -0.022734 + vX_[1299] * -3.6e-05 + vX_[2966] * -0.133138;
+ vX_[1787] = vX_[1273] * 0.1466472 + vX_[745] * 0.009466 + (0 - vX_[1299]) * -5.1e-05 + vX_[2966] * -0.022734;
+ vX_[1883] = (0 - vX_[1434]) * 0.5824264;
+ vX_[738] = (0 - vX_[1410]) * 0.1466472;
+ vX_[644] = (0 - vX_[745]) * -3.6e-05;
+ vX_[2748] = (0 - vX_[2966]) * -5.1e-05;
+ vX_[2785] = vX_[1883] + vX_[738] + vX_[644] - vX_[2748];
+ vX_[1756] = vX_[1434] * vX_[120] + vX_[1273] * vX_[476] + vX_[1410] * vX_[528] + vX_[1299] * vX_[527] + vX_[2966] * vX_[53];
+ vX_[2785] = vX_[2351] + vX_[1023] * vX_[834] + vX_[1000] * vX_[71] + vX_[3199] * vX_[809] + vX_[1499] * vX_[823] + vX_[550] * vX_[810] + vX_[1787] * vX_[816] + vX_[2785] * vX_[808] + vX_[2785] * vX_[808] + vX_[1756] * x_in[33];
+ vX_[1769] = vX_[1412] - vX_[1430];
+ vX_[1978] = vX_[1769] * vX_[88] + vX_[1396] * vX_[50];
+ vX_[1413] = vX_[1769] * vX_[101] + vX_[1396] * vX_[88];
+ vX_[163] = vX_[1413] + vX_[1272];
+ vX_[2700] = vX_[1978] * vX_[101] + vX_[163] * vX_[88] + vX_[1423] * vX_[50];
+ vX_[683] = 0 - vX_[2700];
+ vX_[1789] = vX_[1430] + vX_[1978] * vX_[88] + vX_[1272] * vX_[50];
+ vX_[2570] = 0 - vX_[1789];
+ vX_[1863] = vX_[1430] + vX_[1413] * vX_[101] + vX_[1423] * vX_[88];
+ vX_[1291] = vX_[1443] + vX_[1291] - vX_[1440];
+ vX_[1443] = vX_[1439] * vX_[88] + vX_[1440] * vX_[50];
+ vX_[2103] = 0 - (vX_[1291] * vX_[101] + vX_[1360] * vX_[88]) + vX_[1443];
+ vX_[2470] = vX_[2103] + vX_[1789] * vX_[89];
+ vX_[2817] = 0 - vX_[2470];
+ vX_[773] = vX_[1439] * vX_[101] + vX_[1440] * vX_[88];
+ vX_[2583] = vX_[1291] * vX_[88] + vX_[1360] * vX_[50] + vX_[773];
+ vX_[1106] = 0 - vX_[1863];
+ vX_[2651] = vX_[2583] + vX_[2700] * vX_[89] + vX_[1106] * vX_[5];
+ vX_[1399] = vX_[1403] + vX_[1399];
+ vX_[1403] = vX_[1400] * vX_[88] + vX_[1399] * vX_[101];
+ vX_[3357] = vX_[1403] * vX_[88] + vX_[1432] * vX_[50];
+ vX_[1420] = vX_[1327] + vX_[1420];
+ vX_[1442] = 0 - vX_[1442];
+ vX_[1327] = vX_[1420] * vX_[101] + vX_[1442] * vX_[88];
+ vX_[1714] = 0 - vX_[1327];
+ vX_[1671] = vX_[3357] + vX_[1714] * vX_[5] + vX_[2570] * vX_[103];
+ vX_[1331] = 0 - vX_[1671];
+ vX_[564] = vX_[1400] * vX_[50] + vX_[1399] * vX_[88];
+ vX_[1904] = vX_[564] * vX_[101] + vX_[1421] * vX_[88];
+ vX_[3488] = vX_[1420] * vX_[88] + vX_[1447] * vX_[50];
+ vX_[2368] = 0 - vX_[3488];
+ vX_[2938] = vX_[1904] + vX_[2368] * vX_[89] + vX_[1863] * vX_[103];
+ vX_[1550] = vX_[564] * vX_[88] + vX_[1421] * vX_[50];
+ vX_[458] = vX_[1550] + vX_[1327] * vX_[89];
+ vX_[1199] = vX_[1403] * vX_[101] + vX_[1432] * vX_[88];
+ vX_[2558] = vX_[1199] + vX_[3488] * vX_[5] + vX_[683] * vX_[103];
+ vX_[1558] = 0 - vX_[458] + vX_[2558];
+ vX_[1494] = 0 - vX_[2700];
+ vX_[1297] = 0 - vX_[1789];
+ vX_[2570] = vX_[683] * vX_[531] + vX_[2570] * vX_[479] + vX_[1863] * vX_[61] + vX_[2817] * vX_[104] + vX_[2651] * vX_[115] + vX_[1331] * vX_[96] + vX_[2938] * vX_[90] + vX_[1558] * vX_[87] + vX_[2700] * vX_[525] + vX_[1494] * vX_[528] + vX_[1297] * vX_[478] + vX_[1863] * vX_[482];
+ vX_[683] = vX_[1273] * -3.44;
+ vX_[1763] = vX_[745] * 0.1466472;
+ vX_[1341] = vX_[2966] * 0.5824264;
+ vX_[2367] = 0 - vX_[683] + vX_[1763] - vX_[1341];
+ vX_[2175] = vX_[1434] * vX_[115] + vX_[1273] * vX_[90] + vX_[1410] * vX_[87] + vX_[1299] * vX_[525] + vX_[2966] * vX_[476];
+ vX_[1499] = vX_[1023] * vX_[64] + vX_[1000] * vX_[9] + vX_[2367] * vX_[810] + vX_[1499] * vX_[808] - vX_[2175] * x_in[33];
+ vX_[1430] = vX_[1412] + vX_[1431] + vX_[1430] - vX_[1789] - vX_[1863];
+ vX_[1431] = 0 - vX_[1430];
+ vX_[1443] = vX_[1443] + vX_[1431] * vX_[89];
+ vX_[773] = vX_[773] + vX_[1430] * vX_[5];
+ vX_[1412] = 0 - vX_[2651];
+ vX_[3560] = 0 - vX_[2938];
+ vX_[1441] = vX_[1445] + vX_[1441] + vX_[1399] + vX_[1398] - vX_[1550] - vX_[1199];
+ vX_[2558] = vX_[1441] - vX_[2558];
+ vX_[1445] = 0 - vX_[1327];
+ vX_[3383] = 0 - vX_[2700];
+ vX_[757] = 0 - vX_[1863];
+ vX_[3436] = vX_[1395] - vX_[1320];
+ vX_[1407] = vX_[1408] + vX_[1407];
+ vX_[1408] = vX_[3436] * vX_[88] + vX_[1397] * vX_[50];
+ vX_[2196] = vX_[3436] * vX_[101] + vX_[1397] * vX_[88];
+ vX_[1301] = vX_[1308] * 0.1104774 + vX_[1201] * -0.0004405 + vX_[1301] * 0.025941;
+ vX_[2460] = (0 - vX_[1269]) * 8.81e-05;
+ vX_[3657] = vX_[2460] + vX_[3657];
+ vX_[1271] = vX_[1269] * -0.0004405 + vX_[1308] * -8.81e-05 + vX_[1271] * 0.000468;
+ vX_[3657] = vX_[1176] * vX_[839] + vX_[805] * vX_[836] + vX_[2870] * vX_[832] + vX_[1301] * vX_[838] + vX_[3657] * vX_[841] + vX_[3657] * vX_[841] + vX_[1271] * x_in[35];
+ vX_[2460] = vX_[2460] + vX_[169];
+ vX_[1269] = vX_[1269] * -0.1104774 + vX_[1201] * 8.81e-05 + vX_[1290] * 0.026409;
+ jac[1281] = vX_[1159] * vX_[850] + vX_[3779] * vX_[845] + vX_[1269] * vX_[858] + vX_[1271] * vX_[841] + vX_[1143];
+ vX_[1269] = vX_[3147] * vX_[839] + vX_[687] * vX_[845] + vX_[177] * vX_[832] + vX_[1301] * vX_[841] + vX_[2460] * vX_[838] + vX_[2460] * vX_[838] - vX_[1269] * x_in[35];
+ vX_[2460] = vX_[2121] * 0.47422804 + vX_[2136] * 0.0825825 + vX_[1280] * 0.081641 + (0 - vX_[1292]) * 2.1e-05 + vX_[1316] * -0.000102;
+ vX_[1301] = (0 - vX_[1280]) * -0.007418;
+ vX_[1177] = vX_[137] + vX_[1301] - vX_[1177];
+ vX_[137] = vX_[1309] * vX_[43] + vX_[2121] * vX_[24] + vX_[2136] * vX_[13] + vX_[1292] * vX_[29] + vX_[1316] * vX_[40];
+ vX_[1177] = vX_[2765] * -0.35 + vX_[3657] * vX_[76] + vX_[1269] * vX_[62] + vX_[2818] * vX_[827] + vX_[1859] * vX_[824] + vX_[1437] * vX_[818] + vX_[2460] * vX_[826] + vX_[1177] * vX_[829] + vX_[1177] * vX_[829] + vX_[137] * x_in[34];
+ vX_[1301] = vX_[141] - vX_[1301] - vX_[1064];
+ vX_[1064] = vX_[1309] * vX_[30] + vX_[2121] * vX_[21] + vX_[2136] * vX_[34] + vX_[1292] * vX_[7] + vX_[1316] * vX_[29];
+ jac[1245] = vX_[3017] * vX_[868] + vX_[1951] * vX_[835] + vX_[1064] * vX_[865] + vX_[137] * vX_[829] + vX_[2351];
+ vX_[1064] = vX_[3657] * vX_[79] + vX_[1269] * vX_[76] + vX_[178] * vX_[827] + vX_[2526] * vX_[835] + vX_[3671] * vX_[818] + vX_[2460] * vX_[829] + vX_[1301] * vX_[826] + vX_[1301] * vX_[826] - vX_[1064] * x_in[34];
+ vX_[1341] = vX_[683] - vX_[1763] + vX_[1341];
+ vX_[1763] = vX_[1434] * 0.1466472 + vX_[1410] * 0.5824264 + vX_[745] * -5.1e-05 + (0 - vX_[1299]) * -0.123672 + (0 - vX_[2966]) * -3.6e-05;
+ vX_[683] = vX_[1299] * -0.022734;
+ vX_[644] = vX_[1883] - vX_[644] - vX_[683];
+ vX_[1883] = vX_[1434] * vX_[52] + vX_[1273] * vX_[525] + vX_[1410] * vX_[477] + vX_[1299] * vX_[475] + vX_[2966] * vX_[527];
+ vX_[644] = vX_[1177] * vX_[65] + vX_[1064] * vX_[9] + vX_[1341] * vX_[809] + vX_[269] * vX_[812] + vX_[1763] * vX_[810] + vX_[1787] * vX_[808] + vX_[644] * vX_[816] + vX_[644] * vX_[816] - vX_[1883] * x_in[33];
+ vX_[1406] = 0 - vX_[1406];
+ vX_[1787] = vX_[2196] + vX_[1365];
+ vX_[269] = 0 - vX_[1443];
+ vX_[1301] = 0 - vX_[773];
+ vX_[1441] = 0 - vX_[1441] + vX_[458];
+ vX_[458] = 0 - vX_[3488];
+ jac[561] = 0 - (vX_[1361] * vX_[859] + vX_[1326] * vX_[848] + vX_[2747] * vX_[661] + vX_[1397] * vX_[663] + vX_[1401] * vX_[104] + vX_[1365] * vX_[594] + vX_[1300] * vX_[87] + vX_[1400] * vX_[634] + vX_[1440] * vX_[112] + vX_[1398] * vX_[608] + vX_[1421] * vX_[530] + vX_[1432] * vX_[610] + vX_[1360] * vX_[121] + vX_[1411] * vX_[535] + vX_[1396] * vX_[537] + vX_[1447] * vX_[585] + vX_[1272] * vX_[481] + vX_[1423] * vX_[532] + vX_[179] * x_in[22] + vX_[2785] * x_in[19] + (vX_[1285] * vX_[859] + vX_[2570] * vX_[101] + vX_[179] * x_in[20]) * -0.3735 - (vX_[1364] * vX_[883] + vX_[1499] * x_in[23]) + (vX_[1326] * vX_[883] + vX_[1499] * x_in[19]) * -0.3735 + (vX_[1305] * vX_[883] + vX_[1714] * vX_[479] + vX_[3488] * vX_[531] + vX_[1430] * vX_[114] + vX_[1106] * vX_[116] + vX_[1443] * vX_[87] + vX_[773] * vX_[96] + vX_[1412] * vX_[99] + vX_[3560] * vX_[115] + vX_[2558] * vX_[104] + vX_[1445] * vX_[477] + vX_[3488] * vX_[528] + vX_[3383] * vX_[52] + vX_[757] * vX_[484] + vX_[1499] * x_in[18]) * 0.207 - (vX_[1285] * vX_[853] + vX_[3436] * vX_[660] + vX_[1407] * vX_[650] + vX_[1408] * vX_[87] + vX_[2196] * vX_[627] + vX_[1302] * vX_[611] + vX_[1439] * vX_[122] + vX_[1399] * vX_[633] + vX_[564] * vX_[607] + vX_[1403] * vX_[609] + vX_[1291] * vX_[111] + vX_[1769] * vX_[534] + vX_[1420] * vX_[584] + vX_[1978] * vX_[532] + vX_[1413] * vX_[485] + vX_[2570] * vX_[102] + vX_[644] * x_in[20])) * vX_[927] + (vX_[1364] * vX_[859] + vX_[1361] * vX_[883] + vX_[1285] * vX_[848] + vX_[1326] * vX_[853] + vX_[3436] * vX_[663] + vX_[2747] * vX_[659] + vX_[1397] * vX_[660] + vX_[1407] * vX_[104] + vX_[1406] * vX_[650] + vX_[1408] * vX_[594] + vX_[1787] * vX_[87] + vX_[1300] * vX_[627] + vX_[1400] * vX_[633] + vX_[1302] * vX_[608] + vX_[1439] * vX_[112] + vX_[1440] * vX_[122] + vX_[1399] * vX_[634] + vX_[1398] * vX_[611] + vX_[564] * vX_[530] + vX_[1403] * vX_[610] + vX_[1421] * vX_[607] + vX_[1432] * vX_[609] + vX_[1291] * vX_[121] + vX_[1360] * vX_[111] + vX_[1769] * vX_[537] + vX_[1411] * vX_[533] + vX_[1396] * vX_[534] + vX_[1420] * vX_[585] + vX_[1442] * vX_[584] + vX_[1978] * vX_[481] + vX_[163] * vX_[532] + vX_[1423] * vX_[485] + vX_[2570] * vX_[100] + (vX_[1327] * vX_[529] + vX_[2368] * vX_[61] + vX_[2700] * vX_[116] + vX_[1431] * vX_[91] + vX_[1789] * vX_[105] + vX_[269] * vX_[90] + vX_[2470] * vX_[99] + vX_[1301] * vX_[87] + vX_[1671] * vX_[104] + vX_[1441] * vX_[115] + vX_[1327] * vX_[525] + vX_[458] * vX_[476] + vX_[2700] * vX_[120] + vX_[1789] * vX_[473]) * 0.207 + vX_[179] * x_in[23] + vX_[1499] * x_in[22] + vX_[2785] * x_in[20] + vX_[644] * x_in[19] + (vX_[1326] * vX_[859] + vX_[2570] * vX_[88] + vX_[179] * x_in[19]) * 0.3735 + (vX_[1305] * vX_[859] + vX_[179] * x_in[18]) * -0.207 + (vX_[1285] * vX_[883] + vX_[1499] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3436] = vX_[1535] - vX_[1491];
+ vX_[1527] = vX_[1528] + vX_[1527];
+ vX_[1537] = vX_[1532] + vX_[1537];
+ vX_[1532] = 0 - vX_[1537];
+ vX_[1528] = vX_[3436] * vX_[50];
+ vX_[1431] = vX_[3436] * vX_[88];
+ vX_[1531] = vX_[1541] + vX_[1531];
+ vX_[1571] = vX_[1565] + vX_[1571];
+ vX_[1529] = vX_[1563] + vX_[1529];
+ vX_[1422] = vX_[1552] + vX_[1422];
+ vX_[1552] = vX_[1422] * vX_[88] + vX_[1529] * vX_[50];
+ vX_[1563] = vX_[1422] * vX_[101] + vX_[1529] * vX_[88];
+ vX_[1570] = vX_[1554] + vX_[1570];
+ vX_[1492] = 0 - (vX_[1542] + vX_[1492]) + vX_[1570];
+ vX_[1542] = vX_[1562] - vX_[1561];
+ vX_[1526] = vX_[1463] + vX_[1526];
+ vX_[1573] = vX_[1578] + vX_[1573];
+ vX_[1578] = 0 - vX_[1573];
+ vX_[1463] = vX_[1542] * vX_[50];
+ vX_[1554] = vX_[1542] * vX_[88];
+ vX_[1565] = vX_[1451] + vX_[1433] * 0.207;
+ vX_[1541] = vX_[1496] * vX_[822] + vX_[1322] * vX_[88] + vX_[1433] * vX_[820] + vX_[1458] * vX_[821] + vX_[1038] * vX_[5];
+ vX_[1430] = vX_[1433] * vX_[88] + vX_[1458] * vX_[50];
+ vX_[2570] = vX_[1565] * vX_[833] + vX_[1541] * vX_[64] + vX_[1430] * vX_[834];
+ vX_[2368] = vX_[1565] * vX_[819] + vX_[1541] * vX_[9] + vX_[1430] * vX_[71];
+ vX_[564] = vX_[2570] * 1 / vX_[41];
+ vX_[1714] = vX_[2368] * 1 / vX_[41];
+ vX_[1442] = vX_[1430] * 1 / vX_[41];
+ vX_[1420] = vX_[1565] * 1 / vX_[0];
+ vX_[1403] = vX_[1496] * vX_[88] + vX_[1322] * vX_[50] + vX_[1433] * vX_[102] + vX_[1458] * vX_[100] + vX_[1038] * vX_[811];
+ vX_[1399] = vX_[1403] * 1 / vX_[0];
+ vX_[1106] = vX_[1541] * 1 / vX_[0];
+ vX_[1291] = vX_[1038] * 1 / vX_[0];
+ vX_[163] = vX_[1430] * 1 / vX_[0];
+ vX_[1413] = vX_[1433] * vX_[101] + vX_[1458] * vX_[88];
+ vX_[1978] = vX_[1413] * 1 / vX_[0];
+ vX_[1769] = vX_[1038] - (vX_[1420] * vX_[97] + vX_[1399] * vX_[27] + vX_[1106] * vX_[17] + vX_[1291] * vX_[0] + vX_[163] * vX_[110] + vX_[1978] * vX_[119]);
+ vX_[1423] = vX_[1769] * vX_[4] + vX_[1413] * vX_[65];
+ vX_[1272] = vX_[1423] * 1 / vX_[41];
+ vX_[1447] = vX_[1769] * vX_[65] + vX_[1413] * vX_[9];
+ vX_[1396] = vX_[1447] * 1 / vX_[41];
+ vX_[1411] = vX_[1430] - (vX_[564] * vX_[26] + vX_[1714] * vX_[44] + vX_[1442] * vX_[41] + vX_[1272] * vX_[32] + vX_[1396] * vX_[69]);
+ vX_[1360] = vX_[2570] * vX_[62] + vX_[2368] * vX_[76] + vX_[1411] * vX_[77];
+ vX_[1439] = vX_[2570] * vX_[76] + vX_[2368] * vX_[843] + vX_[1411] * vX_[844];
+ vX_[1432] = vX_[1411] - (vX_[1439] * 38.1956380581338 * 0.1104774 + vX_[1360] * 38.1956380581338 * 0.0004405 + vX_[1411] * 38.1956380581338 * 0.026181);
+ vX_[1421] = vX_[1423] * vX_[76] + vX_[1447] * vX_[79];
+ vX_[1302] = vX_[1360] * 0.881 + (0 - vX_[1432]) * -0.0004405 + vX_[1421] * 8.81e-05;
+ vX_[1398] = vX_[1439] * -0.881;
+ vX_[1440] = vX_[1432] * 0.1104774;
+ vX_[1400] = vX_[1423] * vX_[62] + vX_[1447] * vX_[76];
+ vX_[1397] = vX_[1400] * 8.81e-05;
+ vX_[2747] = vX_[1398] - vX_[1440] + vX_[1397];
+ vX_[2460] = vX_[1302] * vX_[841] + vX_[2747] * vX_[838];
+ vX_[2526] = vX_[2368] * 3.146 + (0 - vX_[1411]) * 0.0825825;
+ vX_[3671] = vX_[2570] * -3.146;
+ vX_[178] = vX_[1411] * 0.47422804;
+ vX_[137] = vX_[3671] - vX_[178];
+ vX_[3017] = vX_[2460] + vX_[2526] * vX_[829] + vX_[137] * vX_[826];
+ vX_[1951] = vX_[1541] * 3.44 + vX_[1430] * 0.5824264;
+ vX_[2351] = 0 - vX_[1951];
+ vX_[141] = vX_[1565] * 3.44 + (0 - vX_[1430]) * 0.1466472;
+ vX_[1859] = vX_[1565] * vX_[104] + vX_[1403] * vX_[87] + vX_[1541] * vX_[96] + vX_[1430] * vX_[477] + vX_[1413] * vX_[528];
+ vX_[1437] = vX_[3017] + vX_[2351] * vX_[810] + vX_[141] * vX_[816] + vX_[1859] * x_in[33];
+ vX_[2818] = 0 - vX_[1302];
+ vX_[1397] = 0 - vX_[1398] + vX_[1440] - vX_[1397];
+ vX_[1440] = vX_[1403] + vX_[1769] * 0.08;
+ vX_[1398] = vX_[1440] + vX_[1423] * -0.35;
+ vX_[2765] = vX_[1398] * -0.0004405 + vX_[1439] * 8.81e-05 + vX_[1400] * -0.000227999999999999;
+ vX_[687] = vX_[1398] * 0.1104774 + vX_[1360] * 8.81e-05 + (0 - vX_[1421]) * 0.025713;
+ vX_[177] = (0 - vX_[1439]) * -0.0004405;
+ vX_[3147] = (0 - vX_[1360]) * 0.1104774;
+ vX_[1271] = vX_[177] + vX_[3147];
+ vX_[1271] = vX_[2818] * vX_[845] + vX_[1397] * vX_[836] + vX_[2765] * vX_[841] + vX_[687] * vX_[838] + vX_[1271] * vX_[832] + vX_[1271] * vX_[832];
+ vX_[1159] = vX_[1398] * 0.881 + (0 - vX_[1421]) * 0.1104774 + vX_[1400] * -0.0004405;
+ vX_[3779] = vX_[1439] * -0.00185880198235362 + vX_[1360] * 0.880992588508842 + vX_[1421] * 8.81e-05;
+ vX_[2818] = vX_[2818] * vX_[832] + vX_[1159] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1143] = 0 - vX_[1159];
+ vX_[1290] = vX_[1439] * 0.414812462825713 + vX_[1360] * -0.00185880198235362 + vX_[1400] * -8.81e-05;
+ vX_[1397] = vX_[1397] * vX_[832] + vX_[1143] * vX_[841] - vX_[1290] * x_in[35];
+ vX_[1201] = 0 - vX_[2526];
+ vX_[178] = 0 - vX_[3671] + vX_[178];
+ vX_[3671] = vX_[1440] * 0.0825825 + (0 - vX_[1411]) * -0.000102 + vX_[1423] * -0.007418 + vX_[1447] * 0.002735;
+ vX_[169] = vX_[1440] * 0.47422804 + vX_[1411] * 2.1e-05 + (0 - vX_[1423]) * 0.084376 + (0 - vX_[1447]) * -0.007418;
+ vX_[805] = (0 - vX_[2570]) * 0.0825825;
+ vX_[2870] = (0 - vX_[2368]) * 0.47422804;
+ vX_[1176] = vX_[1423] * -0.000102;
+ vX_[1308] = (0 - vX_[1447]) * 2.1e-05;
+ vX_[1901] = vX_[805] + vX_[2870] + vX_[1176] + vX_[1308];
+ vX_[1901] = vX_[1271] + vX_[2818] * vX_[844] + vX_[1397] * vX_[77] + vX_[1201] * vX_[835] + vX_[178] * vX_[824] + vX_[3671] * vX_[829] + vX_[169] * vX_[826] + vX_[1901] * vX_[818] + vX_[1901] * vX_[818];
+ vX_[2459] = vX_[1440] * 3.146 + (0 - vX_[1423]) * 0.47422804 + vX_[1447] * 0.0825825;
+ vX_[1077] = vX_[2570] * vX_[73] + vX_[2368] * vX_[75] + vX_[1423] * vX_[34] + vX_[1447] * vX_[13];
+ vX_[1201] = vX_[2818] * vX_[76] + vX_[1397] * vX_[62] + vX_[1201] * vX_[818] + vX_[2459] * vX_[826] + vX_[1077] * x_in[34];
+ vX_[2607] = 0 - vX_[2459];
+ vX_[1864] = vX_[2570] * vX_[80] + vX_[2368] * vX_[73] + vX_[1423] * vX_[21] + vX_[1447] * vX_[24];
+ vX_[178] = vX_[2818] * vX_[843] + vX_[1397] * vX_[76] + vX_[178] * vX_[818] + vX_[2607] * vX_[829] - vX_[1864] * x_in[34];
+ vX_[1902] = 0 - vX_[141];
+ vX_[2708] = vX_[1403] * 0.5824264 + (0 - vX_[1769]) * -0.022734 + vX_[1430] * -3.6e-05 + vX_[1413] * -0.133138;
+ vX_[2021] = vX_[1403] * 0.1466472 + vX_[1769] * 0.009466 + (0 - vX_[1430]) * -5.1e-05 + vX_[1413] * -0.022734;
+ vX_[1712] = (0 - vX_[1565]) * 0.5824264;
+ vX_[2597] = (0 - vX_[1541]) * 0.1466472;
+ vX_[1866] = (0 - vX_[1769]) * -3.6e-05;
+ vX_[2379] = (0 - vX_[1413]) * -5.1e-05;
+ vX_[1383] = vX_[1712] + vX_[2597] + vX_[1866] - vX_[2379];
+ vX_[2782] = vX_[1565] * vX_[120] + vX_[1403] * vX_[476] + vX_[1541] * vX_[528] + vX_[1430] * vX_[527] + vX_[1413] * vX_[53];
+ vX_[1383] = vX_[1901] + vX_[1201] * vX_[834] + vX_[178] * vX_[71] + vX_[1951] * vX_[809] + vX_[1902] * vX_[823] + vX_[2708] * vX_[810] + vX_[2021] * vX_[816] + vX_[1383] * vX_[808] + vX_[1383] * vX_[808] + vX_[2782] * x_in[33];
+ vX_[2390] = vX_[1543] - vX_[1561];
+ vX_[2963] = vX_[2390] * vX_[88] + vX_[1526] * vX_[50];
+ vX_[3093] = vX_[2390] * vX_[101] + vX_[1526] * vX_[88];
+ vX_[1986] = vX_[3093] + vX_[1463];
+ vX_[1710] = vX_[2963] * vX_[101] + vX_[1986] * vX_[88] + vX_[1554] * vX_[50];
+ vX_[451] = 0 - vX_[1710];
+ vX_[3410] = vX_[1561] + vX_[2963] * vX_[88] + vX_[1463] * vX_[50];
+ vX_[388] = 0 - vX_[3410];
+ vX_[2129] = vX_[1561] + vX_[3093] * vX_[101] + vX_[1554] * vX_[88];
+ vX_[1402] = vX_[1574] + vX_[1402] - vX_[1571];
+ vX_[1574] = vX_[1570] * vX_[88] + vX_[1571] * vX_[50];
+ vX_[2869] = 0 - (vX_[1402] * vX_[101] + vX_[1492] * vX_[88]) + vX_[1574];
+ vX_[2960] = vX_[2869] + vX_[3410] * vX_[89];
+ vX_[3313] = 0 - vX_[2960];
+ vX_[3103] = vX_[1570] * vX_[101] + vX_[1571] * vX_[88];
+ vX_[714] = vX_[1402] * vX_[88] + vX_[1492] * vX_[50] + vX_[3103];
+ vX_[2879] = 0 - vX_[2129];
+ vX_[3029] = vX_[714] + vX_[1710] * vX_[89] + vX_[2879] * vX_[5];
+ vX_[1530] = vX_[1534] + vX_[1530];
+ vX_[1534] = vX_[1531] * vX_[88] + vX_[1530] * vX_[101];
+ vX_[793] = vX_[1534] * vX_[88] + vX_[1563] * vX_[50];
+ vX_[1551] = vX_[1459] + vX_[1551];
+ vX_[1573] = 0 - vX_[1573];
+ vX_[1459] = vX_[1551] * vX_[101] + vX_[1573] * vX_[88];
+ vX_[3619] = 0 - vX_[1459];
+ vX_[1555] = vX_[793] + vX_[3619] * vX_[5] + vX_[388] * vX_[103];
+ vX_[2037] = 0 - vX_[1555];
+ vX_[1945] = vX_[1531] * vX_[50] + vX_[1530] * vX_[88];
+ vX_[2125] = vX_[1945] * vX_[101] + vX_[1552] * vX_[88];
+ vX_[1244] = vX_[1551] * vX_[88] + vX_[1578] * vX_[50];
+ vX_[2542] = 0 - vX_[1244];
+ vX_[2497] = vX_[2125] + vX_[2542] * vX_[89] + vX_[2129] * vX_[103];
+ vX_[2502] = vX_[1945] * vX_[88] + vX_[1552] * vX_[50];
+ vX_[2948] = vX_[2502] + vX_[1459] * vX_[89];
+ vX_[691] = vX_[1534] * vX_[101] + vX_[1563] * vX_[88];
+ vX_[3492] = vX_[691] + vX_[1244] * vX_[5] + vX_[451] * vX_[103];
+ vX_[3390] = 0 - vX_[2948] + vX_[3492];
+ vX_[459] = 0 - vX_[1710];
+ vX_[572] = 0 - vX_[3410];
+ vX_[388] = vX_[451] * vX_[531] + vX_[388] * vX_[479] + vX_[2129] * vX_[61] + vX_[3313] * vX_[104] + vX_[3029] * vX_[115] + vX_[2037] * vX_[96] + vX_[2497] * vX_[90] + vX_[3390] * vX_[87] + vX_[1710] * vX_[525] + vX_[459] * vX_[528] + vX_[572] * vX_[478] + vX_[2129] * vX_[482];
+ vX_[451] = vX_[1403] * -3.44;
+ vX_[2532] = vX_[1769] * 0.1466472;
+ vX_[3420] = vX_[1413] * 0.5824264;
+ vX_[1826] = 0 - vX_[451] + vX_[2532] - vX_[3420];
+ vX_[3521] = vX_[1565] * vX_[115] + vX_[1403] * vX_[90] + vX_[1541] * vX_[87] + vX_[1430] * vX_[525] + vX_[1413] * vX_[476];
+ vX_[1902] = vX_[1201] * vX_[64] + vX_[178] * vX_[9] + vX_[1826] * vX_[810] + vX_[1902] * vX_[808] - vX_[3521] * x_in[33];
+ vX_[1561] = vX_[1543] + vX_[1562] + vX_[1561] - vX_[3410] - vX_[2129];
+ vX_[1562] = 0 - vX_[1561];
+ vX_[1574] = vX_[1574] + vX_[1562] * vX_[89];
+ vX_[3103] = vX_[3103] + vX_[1561] * vX_[5];
+ vX_[1543] = 0 - vX_[3029];
+ vX_[2205] = 0 - vX_[2497];
+ vX_[1572] = vX_[1576] + vX_[1572] + vX_[1530] + vX_[1529] - vX_[2502] - vX_[691];
+ vX_[3492] = vX_[1572] - vX_[3492];
+ vX_[1576] = 0 - vX_[1459];
+ vX_[1727] = 0 - vX_[1710];
+ vX_[2622] = 0 - vX_[2129];
+ vX_[2415] = vX_[1525] - vX_[1491];
+ vX_[1538] = vX_[1539] + vX_[1538];
+ vX_[1539] = vX_[2415] * vX_[88] + vX_[1527] * vX_[50];
+ vX_[1035] = vX_[2415] * vX_[101] + vX_[1527] * vX_[88];
+ vX_[1432] = vX_[1439] * 0.1104774 + vX_[1360] * -0.0004405 + vX_[1432] * 0.025941;
+ vX_[3476] = (0 - vX_[1398]) * 8.81e-05;
+ vX_[3147] = vX_[3476] + vX_[3147];
+ vX_[1400] = vX_[1398] * -0.0004405 + vX_[1439] * -8.81e-05 + vX_[1400] * 0.000468;
+ vX_[3147] = vX_[1302] * vX_[839] + vX_[1143] * vX_[836] + vX_[2765] * vX_[832] + vX_[1432] * vX_[838] + vX_[3147] * vX_[841] + vX_[3147] * vX_[841] + vX_[1400] * x_in[35];
+ vX_[3476] = vX_[3476] + vX_[177];
+ vX_[1398] = vX_[1398] * -0.1104774 + vX_[1360] * 8.81e-05 + vX_[1421] * 0.026409;
+ jac[1282] = vX_[1290] * vX_[850] + vX_[3779] * vX_[845] + vX_[1398] * vX_[858] + vX_[1400] * vX_[841] + vX_[1271];
+ vX_[1398] = vX_[2747] * vX_[839] + vX_[1159] * vX_[845] + vX_[687] * vX_[832] + vX_[1432] * vX_[841] + vX_[3476] * vX_[838] + vX_[3476] * vX_[838] - vX_[1398] * x_in[35];
+ vX_[3476] = vX_[2570] * 0.47422804 + vX_[2368] * 0.0825825 + vX_[1411] * 0.081641 + (0 - vX_[1423]) * 2.1e-05 + vX_[1447] * -0.000102;
+ vX_[1432] = (0 - vX_[1411]) * -0.007418;
+ vX_[1308] = vX_[2870] + vX_[1432] - vX_[1308];
+ vX_[2870] = vX_[1440] * vX_[43] + vX_[2570] * vX_[24] + vX_[2368] * vX_[13] + vX_[1423] * vX_[29] + vX_[1447] * vX_[40];
+ vX_[1308] = vX_[2460] * -0.35 + vX_[3147] * vX_[76] + vX_[1398] * vX_[62] + vX_[2526] * vX_[827] + vX_[2607] * vX_[824] + vX_[3671] * vX_[818] + vX_[3476] * vX_[826] + vX_[1308] * vX_[829] + vX_[1308] * vX_[829] + vX_[2870] * x_in[34];
+ vX_[1432] = vX_[805] - vX_[1432] - vX_[1176];
+ vX_[1176] = vX_[1440] * vX_[30] + vX_[2570] * vX_[21] + vX_[2368] * vX_[34] + vX_[1423] * vX_[7] + vX_[1447] * vX_[29];
+ jac[1246] = vX_[1864] * vX_[868] + vX_[1077] * vX_[835] + vX_[1176] * vX_[865] + vX_[2870] * vX_[829] + vX_[1901];
+ vX_[1176] = vX_[3147] * vX_[79] + vX_[1398] * vX_[76] + vX_[137] * vX_[827] + vX_[2459] * vX_[835] + vX_[169] * vX_[818] + vX_[3476] * vX_[829] + vX_[1432] * vX_[826] + vX_[1432] * vX_[826] - vX_[1176] * x_in[34];
+ vX_[3420] = vX_[451] - vX_[2532] + vX_[3420];
+ vX_[2532] = vX_[1565] * 0.1466472 + vX_[1541] * 0.5824264 + vX_[1769] * -5.1e-05 + (0 - vX_[1430]) * -0.123672 + (0 - vX_[1413]) * -3.6e-05;
+ vX_[451] = vX_[1430] * -0.022734;
+ vX_[1866] = vX_[1712] - vX_[1866] - vX_[451];
+ vX_[1712] = vX_[1565] * vX_[52] + vX_[1403] * vX_[525] + vX_[1541] * vX_[477] + vX_[1430] * vX_[475] + vX_[1413] * vX_[527];
+ vX_[1866] = vX_[1308] * vX_[65] + vX_[1176] * vX_[9] + vX_[3420] * vX_[809] + vX_[141] * vX_[812] + vX_[2532] * vX_[810] + vX_[2021] * vX_[808] + vX_[1866] * vX_[816] + vX_[1866] * vX_[816] - vX_[1712] * x_in[33];
+ vX_[1537] = 0 - vX_[1537];
+ vX_[2021] = vX_[1035] + vX_[1528];
+ vX_[141] = 0 - vX_[1574];
+ vX_[1432] = 0 - vX_[3103];
+ vX_[1572] = 0 - vX_[1572] + vX_[2948];
+ vX_[2948] = 0 - vX_[1244];
+ jac[562] = 0 - (vX_[1322] * vX_[859] + vX_[1458] * vX_[848] + vX_[3436] * vX_[661] + vX_[1527] * vX_[663] + vX_[1532] * vX_[104] + vX_[1528] * vX_[594] + vX_[1431] * vX_[87] + vX_[1531] * vX_[634] + vX_[1571] * vX_[112] + vX_[1529] * vX_[608] + vX_[1552] * vX_[530] + vX_[1563] * vX_[610] + vX_[1492] * vX_[121] + vX_[1542] * vX_[535] + vX_[1526] * vX_[537] + vX_[1578] * vX_[585] + vX_[1463] * vX_[481] + vX_[1554] * vX_[532] + vX_[1437] * x_in[22] + vX_[1383] * x_in[19] + (vX_[1433] * vX_[859] + vX_[388] * vX_[101] + vX_[1437] * x_in[20]) * -0.3735 - (vX_[1496] * vX_[883] + vX_[1902] * x_in[23]) + (vX_[1458] * vX_[883] + vX_[1902] * x_in[19]) * -0.3735 + (vX_[1038] * vX_[883] + vX_[3619] * vX_[479] + vX_[1244] * vX_[531] + vX_[1561] * vX_[114] + vX_[2879] * vX_[116] + vX_[1574] * vX_[87] + vX_[3103] * vX_[96] + vX_[1543] * vX_[99] + vX_[2205] * vX_[115] + vX_[3492] * vX_[104] + vX_[1576] * vX_[477] + vX_[1244] * vX_[528] + vX_[1727] * vX_[52] + vX_[2622] * vX_[484] + vX_[1902] * x_in[18]) * 0.207 - (vX_[1433] * vX_[853] + vX_[2415] * vX_[660] + vX_[1538] * vX_[650] + vX_[1539] * vX_[87] + vX_[1035] * vX_[627] + vX_[1422] * vX_[611] + vX_[1570] * vX_[122] + vX_[1530] * vX_[633] + vX_[1945] * vX_[607] + vX_[1534] * vX_[609] + vX_[1402] * vX_[111] + vX_[2390] * vX_[534] + vX_[1551] * vX_[584] + vX_[2963] * vX_[532] + vX_[3093] * vX_[485] + vX_[388] * vX_[102] + vX_[1866] * x_in[20])) * vX_[927] + (vX_[1496] * vX_[859] + vX_[1322] * vX_[883] + vX_[1433] * vX_[848] + vX_[1458] * vX_[853] + vX_[2415] * vX_[663] + vX_[3436] * vX_[659] + vX_[1527] * vX_[660] + vX_[1538] * vX_[104] + vX_[1537] * vX_[650] + vX_[1539] * vX_[594] + vX_[2021] * vX_[87] + vX_[1431] * vX_[627] + vX_[1531] * vX_[633] + vX_[1422] * vX_[608] + vX_[1570] * vX_[112] + vX_[1571] * vX_[122] + vX_[1530] * vX_[634] + vX_[1529] * vX_[611] + vX_[1945] * vX_[530] + vX_[1534] * vX_[610] + vX_[1552] * vX_[607] + vX_[1563] * vX_[609] + vX_[1402] * vX_[121] + vX_[1492] * vX_[111] + vX_[2390] * vX_[537] + vX_[1542] * vX_[533] + vX_[1526] * vX_[534] + vX_[1551] * vX_[585] + vX_[1573] * vX_[584] + vX_[2963] * vX_[481] + vX_[1986] * vX_[532] + vX_[1554] * vX_[485] + vX_[388] * vX_[100] + (vX_[1459] * vX_[529] + vX_[2542] * vX_[61] + vX_[1710] * vX_[116] + vX_[1562] * vX_[91] + vX_[3410] * vX_[105] + vX_[141] * vX_[90] + vX_[2960] * vX_[99] + vX_[1432] * vX_[87] + vX_[1555] * vX_[104] + vX_[1572] * vX_[115] + vX_[1459] * vX_[525] + vX_[2948] * vX_[476] + vX_[1710] * vX_[120] + vX_[3410] * vX_[473]) * 0.207 + vX_[1437] * x_in[23] + vX_[1902] * x_in[22] + vX_[1383] * x_in[20] + vX_[1866] * x_in[19] + (vX_[1458] * vX_[859] + vX_[388] * vX_[88] + vX_[1437] * x_in[19]) * 0.3735 + (vX_[1038] * vX_[859] + vX_[1437] * x_in[18]) * -0.207 + (vX_[1433] * vX_[883] + vX_[1902] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[2415] = vX_[1666] - vX_[1622];
+ vX_[1658] = vX_[1659] + vX_[1658];
+ vX_[1668] = vX_[1663] + vX_[1668];
+ vX_[1663] = 0 - vX_[1668];
+ vX_[1659] = vX_[2415] * vX_[50];
+ vX_[1562] = vX_[2415] * vX_[88];
+ vX_[1662] = vX_[1672] + vX_[1662];
+ vX_[1702] = vX_[1696] + vX_[1702];
+ vX_[1660] = vX_[1694] + vX_[1660];
+ vX_[1553] = vX_[1683] + vX_[1553];
+ vX_[1683] = vX_[1553] * vX_[88] + vX_[1660] * vX_[50];
+ vX_[1694] = vX_[1553] * vX_[101] + vX_[1660] * vX_[88];
+ vX_[1701] = vX_[1685] + vX_[1701];
+ vX_[1623] = 0 - (vX_[1673] + vX_[1623]) + vX_[1701];
+ vX_[1673] = vX_[1693] - vX_[1692];
+ vX_[1657] = vX_[1594] + vX_[1657];
+ vX_[1704] = vX_[1709] + vX_[1704];
+ vX_[1709] = 0 - vX_[1704];
+ vX_[1594] = vX_[1673] * vX_[50];
+ vX_[1685] = vX_[1673] * vX_[88];
+ vX_[1696] = vX_[1582] + vX_[1564] * 0.207;
+ vX_[1672] = vX_[1627] * vX_[822] + vX_[1455] * vX_[88] + vX_[1564] * vX_[820] + vX_[1589] * vX_[821] + vX_[1495] * vX_[5];
+ vX_[1561] = vX_[1564] * vX_[88] + vX_[1589] * vX_[50];
+ vX_[388] = vX_[1696] * vX_[833] + vX_[1672] * vX_[64] + vX_[1561] * vX_[834];
+ vX_[2542] = vX_[1696] * vX_[819] + vX_[1672] * vX_[9] + vX_[1561] * vX_[71];
+ vX_[1945] = vX_[388] * 1 / vX_[41];
+ vX_[3619] = vX_[2542] * 1 / vX_[41];
+ vX_[1573] = vX_[1561] * 1 / vX_[41];
+ vX_[1551] = vX_[1696] * 1 / vX_[0];
+ vX_[1534] = vX_[1627] * vX_[88] + vX_[1455] * vX_[50] + vX_[1564] * vX_[102] + vX_[1589] * vX_[100] + vX_[1495] * vX_[811];
+ vX_[1530] = vX_[1534] * 1 / vX_[0];
+ vX_[2879] = vX_[1672] * 1 / vX_[0];
+ vX_[1402] = vX_[1495] * 1 / vX_[0];
+ vX_[1986] = vX_[1561] * 1 / vX_[0];
+ vX_[3093] = vX_[1564] * vX_[101] + vX_[1589] * vX_[88];
+ vX_[2963] = vX_[3093] * 1 / vX_[0];
+ vX_[2390] = vX_[1495] - (vX_[1551] * vX_[97] + vX_[1530] * vX_[27] + vX_[2879] * vX_[17] + vX_[1402] * vX_[0] + vX_[1986] * vX_[110] + vX_[2963] * vX_[119]);
+ vX_[1554] = vX_[2390] * vX_[4] + vX_[3093] * vX_[65];
+ vX_[1463] = vX_[1554] * 1 / vX_[41];
+ vX_[1578] = vX_[2390] * vX_[65] + vX_[3093] * vX_[9];
+ vX_[1526] = vX_[1578] * 1 / vX_[41];
+ vX_[1542] = vX_[1561] - (vX_[1945] * vX_[26] + vX_[3619] * vX_[44] + vX_[1573] * vX_[41] + vX_[1463] * vX_[32] + vX_[1526] * vX_[69]);
+ vX_[1492] = vX_[388] * vX_[62] + vX_[2542] * vX_[76] + vX_[1542] * vX_[77];
+ vX_[1570] = vX_[388] * vX_[76] + vX_[2542] * vX_[843] + vX_[1542] * vX_[844];
+ vX_[1563] = vX_[1542] - (vX_[1570] * 38.1956380581338 * 0.1104774 + vX_[1492] * 38.1956380581338 * 0.0004405 + vX_[1542] * 38.1956380581338 * 0.026181);
+ vX_[1552] = vX_[1554] * vX_[76] + vX_[1578] * vX_[79];
+ vX_[1422] = vX_[1492] * 0.881 + (0 - vX_[1563]) * -0.0004405 + vX_[1552] * 8.81e-05;
+ vX_[1529] = vX_[1570] * -0.881;
+ vX_[1571] = vX_[1563] * 0.1104774;
+ vX_[1531] = vX_[1554] * vX_[62] + vX_[1578] * vX_[76];
+ vX_[1527] = vX_[1531] * 8.81e-05;
+ vX_[3436] = vX_[1529] - vX_[1571] + vX_[1527];
+ vX_[3476] = vX_[1422] * vX_[841] + vX_[3436] * vX_[838];
+ vX_[2459] = vX_[2542] * 3.146 + (0 - vX_[1542]) * 0.0825825;
+ vX_[169] = vX_[388] * -3.146;
+ vX_[137] = vX_[1542] * 0.47422804;
+ vX_[2870] = vX_[169] - vX_[137];
+ vX_[1864] = vX_[3476] + vX_[2459] * vX_[829] + vX_[2870] * vX_[826];
+ vX_[1077] = vX_[1672] * 3.44 + vX_[1561] * 0.5824264;
+ vX_[1901] = 0 - vX_[1077];
+ vX_[805] = vX_[1696] * 3.44 + (0 - vX_[1561]) * 0.1466472;
+ vX_[2607] = vX_[1696] * vX_[104] + vX_[1534] * vX_[87] + vX_[1672] * vX_[96] + vX_[1561] * vX_[477] + vX_[3093] * vX_[528];
+ vX_[3671] = vX_[1864] + vX_[1901] * vX_[810] + vX_[805] * vX_[816] + vX_[2607] * x_in[33];
+ vX_[2526] = 0 - vX_[1422];
+ vX_[1527] = 0 - vX_[1529] + vX_[1571] - vX_[1527];
+ vX_[1571] = vX_[1534] + vX_[2390] * 0.08;
+ vX_[1529] = vX_[1571] + vX_[1554] * -0.35;
+ vX_[2460] = vX_[1529] * -0.0004405 + vX_[1570] * 8.81e-05 + vX_[1531] * -0.000227999999999999;
+ vX_[1159] = vX_[1529] * 0.1104774 + vX_[1492] * 8.81e-05 + (0 - vX_[1552]) * 0.025713;
+ vX_[687] = (0 - vX_[1570]) * -0.0004405;
+ vX_[2747] = (0 - vX_[1492]) * 0.1104774;
+ vX_[1400] = vX_[687] + vX_[2747];
+ vX_[1400] = vX_[2526] * vX_[845] + vX_[1527] * vX_[836] + vX_[2460] * vX_[841] + vX_[1159] * vX_[838] + vX_[1400] * vX_[832] + vX_[1400] * vX_[832];
+ vX_[1290] = vX_[1529] * 0.881 + (0 - vX_[1552]) * 0.1104774 + vX_[1531] * -0.0004405;
+ vX_[3779] = vX_[1570] * -0.00185880198235362 + vX_[1492] * 0.880992588508842 + vX_[1552] * 8.81e-05;
+ vX_[2526] = vX_[2526] * vX_[832] + vX_[1290] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1271] = 0 - vX_[1290];
+ vX_[1421] = vX_[1570] * 0.414812462825713 + vX_[1492] * -0.00185880198235362 + vX_[1531] * -8.81e-05;
+ vX_[1527] = vX_[1527] * vX_[832] + vX_[1271] * vX_[841] - vX_[1421] * x_in[35];
+ vX_[1360] = 0 - vX_[2459];
+ vX_[137] = 0 - vX_[169] + vX_[137];
+ vX_[169] = vX_[1571] * 0.0825825 + (0 - vX_[1542]) * -0.000102 + vX_[1554] * -0.007418 + vX_[1578] * 0.002735;
+ vX_[177] = vX_[1571] * 0.47422804 + vX_[1542] * 2.1e-05 + (0 - vX_[1554]) * 0.084376 + (0 - vX_[1578]) * -0.007418;
+ vX_[1143] = (0 - vX_[388]) * 0.0825825;
+ vX_[2765] = (0 - vX_[2542]) * 0.47422804;
+ vX_[1302] = vX_[1554] * -0.000102;
+ vX_[1439] = (0 - vX_[1578]) * 2.1e-05;
+ vX_[2646] = vX_[1143] + vX_[2765] + vX_[1302] + vX_[1439];
+ vX_[2646] = vX_[1400] + vX_[2526] * vX_[844] + vX_[1527] * vX_[77] + vX_[1360] * vX_[835] + vX_[137] * vX_[824] + vX_[169] * vX_[829] + vX_[177] * vX_[826] + vX_[2646] * vX_[818] + vX_[2646] * vX_[818];
+ vX_[2446] = vX_[1571] * 3.146 + (0 - vX_[1554]) * 0.47422804 + vX_[1578] * 0.0825825;
+ vX_[1908] = vX_[388] * vX_[73] + vX_[2542] * vX_[75] + vX_[1554] * vX_[34] + vX_[1578] * vX_[13];
+ vX_[1360] = vX_[2526] * vX_[76] + vX_[1527] * vX_[62] + vX_[1360] * vX_[818] + vX_[2446] * vX_[826] + vX_[1908] * x_in[34];
+ vX_[1764] = 0 - vX_[2446];
+ vX_[1950] = vX_[388] * vX_[80] + vX_[2542] * vX_[73] + vX_[1554] * vX_[21] + vX_[1578] * vX_[24];
+ vX_[137] = vX_[2526] * vX_[843] + vX_[1527] * vX_[76] + vX_[137] * vX_[818] + vX_[1764] * vX_[829] - vX_[1950] * x_in[34];
+ vX_[1637] = 0 - vX_[805];
+ vX_[2016] = vX_[1534] * 0.5824264 + (0 - vX_[2390]) * -0.022734 + vX_[1561] * -3.6e-05 + vX_[3093] * -0.133138;
+ vX_[1976] = vX_[1534] * 0.1466472 + vX_[2390] * 0.009466 + (0 - vX_[1561]) * -5.1e-05 + vX_[3093] * -0.022734;
+ vX_[2617] = (0 - vX_[1696]) * 0.5824264;
+ vX_[2098] = (0 - vX_[1672]) * 0.1466472;
+ vX_[2212] = (0 - vX_[2390]) * -3.6e-05;
+ vX_[326] = (0 - vX_[3093]) * -5.1e-05;
+ vX_[3113] = vX_[2617] + vX_[2098] + vX_[2212] - vX_[326];
+ vX_[3543] = vX_[1696] * vX_[120] + vX_[1534] * vX_[476] + vX_[1672] * vX_[528] + vX_[1561] * vX_[527] + vX_[3093] * vX_[53];
+ vX_[3113] = vX_[2646] + vX_[1360] * vX_[834] + vX_[137] * vX_[71] + vX_[1077] * vX_[809] + vX_[1637] * vX_[823] + vX_[2016] * vX_[810] + vX_[1976] * vX_[816] + vX_[3113] * vX_[808] + vX_[3113] * vX_[808] + vX_[3543] * x_in[33];
+ vX_[777] = vX_[1674] - vX_[1692];
+ vX_[3485] = vX_[777] * vX_[88] + vX_[1657] * vX_[50];
+ vX_[515] = vX_[777] * vX_[101] + vX_[1657] * vX_[88];
+ vX_[516] = vX_[515] + vX_[1594];
+ vX_[1579] = vX_[3485] * vX_[101] + vX_[516] * vX_[88] + vX_[1685] * vX_[50];
+ vX_[1760] = 0 - vX_[1579];
+ vX_[2313] = vX_[1692] + vX_[3485] * vX_[88] + vX_[1594] * vX_[50];
+ vX_[2204] = 0 - vX_[2313];
+ vX_[294] = vX_[1692] + vX_[515] * vX_[101] + vX_[1685] * vX_[88];
+ vX_[1533] = vX_[1705] + vX_[1533] - vX_[1702];
+ vX_[1705] = vX_[1701] * vX_[88] + vX_[1702] * vX_[50];
+ vX_[346] = 0 - (vX_[1533] * vX_[101] + vX_[1623] * vX_[88]) + vX_[1705];
+ vX_[985] = vX_[346] + vX_[2313] * vX_[89];
+ vX_[322] = 0 - vX_[985];
+ vX_[323] = vX_[1701] * vX_[101] + vX_[1702] * vX_[88];
+ vX_[1557] = vX_[1533] * vX_[88] + vX_[1623] * vX_[50] + vX_[323];
+ vX_[281] = 0 - vX_[294];
+ vX_[2007] = vX_[1557] + vX_[1579] * vX_[89] + vX_[281] * vX_[5];
+ vX_[1661] = vX_[1665] + vX_[1661];
+ vX_[1665] = vX_[1662] * vX_[88] + vX_[1661] * vX_[101];
+ vX_[335] = vX_[1665] * vX_[88] + vX_[1694] * vX_[50];
+ vX_[1682] = vX_[1590] + vX_[1682];
+ vX_[1704] = 0 - vX_[1704];
+ vX_[1590] = vX_[1682] * vX_[101] + vX_[1704] * vX_[88];
+ vX_[1293] = 0 - vX_[1590];
+ vX_[443] = vX_[335] + vX_[1293] * vX_[5] + vX_[2204] * vX_[103];
+ vX_[760] = 0 - vX_[443];
+ vX_[1731] = vX_[1662] * vX_[50] + vX_[1661] * vX_[88];
+ vX_[500] = vX_[1731] * vX_[101] + vX_[1683] * vX_[88];
+ vX_[309] = vX_[1682] * vX_[88] + vX_[1709] * vX_[50];
+ vX_[1405] = 0 - vX_[309];
+ vX_[770] = vX_[500] + vX_[1405] * vX_[89] + vX_[294] * vX_[103];
+ vX_[3501] = vX_[1731] * vX_[88] + vX_[1683] * vX_[50];
+ vX_[462] = vX_[3501] + vX_[1590] * vX_[89];
+ vX_[2245] = vX_[1665] * vX_[101] + vX_[1694] * vX_[88];
+ vX_[1294] = vX_[2245] + vX_[309] * vX_[5] + vX_[1760] * vX_[103];
+ vX_[2939] = 0 - vX_[462] + vX_[1294];
+ vX_[571] = 0 - vX_[1579];
+ vX_[1317] = 0 - vX_[2313];
+ vX_[2204] = vX_[1760] * vX_[531] + vX_[2204] * vX_[479] + vX_[294] * vX_[61] + vX_[322] * vX_[104] + vX_[2007] * vX_[115] + vX_[760] * vX_[96] + vX_[770] * vX_[90] + vX_[2939] * vX_[87] + vX_[1579] * vX_[525] + vX_[571] * vX_[528] + vX_[1317] * vX_[478] + vX_[294] * vX_[482];
+ vX_[1760] = vX_[1534] * -3.44;
+ vX_[1098] = vX_[2390] * 0.1466472;
+ vX_[995] = vX_[3093] * 0.5824264;
+ vX_[628] = 0 - vX_[1760] + vX_[1098] - vX_[995];
+ vX_[3050] = vX_[1696] * vX_[115] + vX_[1534] * vX_[90] + vX_[1672] * vX_[87] + vX_[1561] * vX_[525] + vX_[3093] * vX_[476];
+ vX_[1637] = vX_[1360] * vX_[64] + vX_[137] * vX_[9] + vX_[628] * vX_[810] + vX_[1637] * vX_[808] - vX_[3050] * x_in[33];
+ vX_[1692] = vX_[1674] + vX_[1693] + vX_[1692] - vX_[2313] - vX_[294];
+ vX_[1693] = 0 - vX_[1692];
+ vX_[1705] = vX_[1705] + vX_[1693] * vX_[89];
+ vX_[323] = vX_[323] + vX_[1692] * vX_[5];
+ vX_[1674] = 0 - vX_[2007];
+ vX_[337] = 0 - vX_[770];
+ vX_[1703] = vX_[1707] + vX_[1703] + vX_[1661] + vX_[1660] - vX_[3501] - vX_[2245];
+ vX_[1294] = vX_[1703] - vX_[1294];
+ vX_[1707] = 0 - vX_[1590];
+ vX_[3537] = 0 - vX_[1579];
+ vX_[3550] = 0 - vX_[294];
+ vX_[311] = vX_[1656] - vX_[1622];
+ vX_[1669] = vX_[1670] + vX_[1669];
+ vX_[1670] = vX_[311] * vX_[88] + vX_[1658] * vX_[50];
+ vX_[292] = vX_[311] * vX_[101] + vX_[1658] * vX_[88];
+ vX_[1563] = vX_[1570] * 0.1104774 + vX_[1492] * -0.0004405 + vX_[1563] * 0.025941;
+ vX_[3518] = (0 - vX_[1529]) * 8.81e-05;
+ vX_[2747] = vX_[3518] + vX_[2747];
+ vX_[1531] = vX_[1529] * -0.0004405 + vX_[1570] * -8.81e-05 + vX_[1531] * 0.000468;
+ vX_[2747] = vX_[1422] * vX_[839] + vX_[1271] * vX_[836] + vX_[2460] * vX_[832] + vX_[1563] * vX_[838] + vX_[2747] * vX_[841] + vX_[2747] * vX_[841] + vX_[1531] * x_in[35];
+ vX_[3518] = vX_[3518] + vX_[687];
+ vX_[1529] = vX_[1529] * -0.1104774 + vX_[1492] * 8.81e-05 + vX_[1552] * 0.026409;
+ jac[1283] = vX_[1421] * vX_[850] + vX_[3779] * vX_[845] + vX_[1529] * vX_[858] + vX_[1531] * vX_[841] + vX_[1400];
+ vX_[1529] = vX_[3436] * vX_[839] + vX_[1290] * vX_[845] + vX_[1159] * vX_[832] + vX_[1563] * vX_[841] + vX_[3518] * vX_[838] + vX_[3518] * vX_[838] - vX_[1529] * x_in[35];
+ vX_[3518] = vX_[388] * 0.47422804 + vX_[2542] * 0.0825825 + vX_[1542] * 0.081641 + (0 - vX_[1554]) * 2.1e-05 + vX_[1578] * -0.000102;
+ vX_[1563] = (0 - vX_[1542]) * -0.007418;
+ vX_[1439] = vX_[2765] + vX_[1563] - vX_[1439];
+ vX_[2765] = vX_[1571] * vX_[43] + vX_[388] * vX_[24] + vX_[2542] * vX_[13] + vX_[1554] * vX_[29] + vX_[1578] * vX_[40];
+ vX_[1439] = vX_[3476] * -0.35 + vX_[2747] * vX_[76] + vX_[1529] * vX_[62] + vX_[2459] * vX_[827] + vX_[1764] * vX_[824] + vX_[169] * vX_[818] + vX_[3518] * vX_[826] + vX_[1439] * vX_[829] + vX_[1439] * vX_[829] + vX_[2765] * x_in[34];
+ vX_[1563] = vX_[1143] - vX_[1563] - vX_[1302];
+ vX_[1302] = vX_[1571] * vX_[30] + vX_[388] * vX_[21] + vX_[2542] * vX_[34] + vX_[1554] * vX_[7] + vX_[1578] * vX_[29];
+ jac[1247] = vX_[1950] * vX_[868] + vX_[1908] * vX_[835] + vX_[1302] * vX_[865] + vX_[2765] * vX_[829] + vX_[2646];
+ vX_[1302] = vX_[2747] * vX_[79] + vX_[1529] * vX_[76] + vX_[2870] * vX_[827] + vX_[2446] * vX_[835] + vX_[177] * vX_[818] + vX_[3518] * vX_[829] + vX_[1563] * vX_[826] + vX_[1563] * vX_[826] - vX_[1302] * x_in[34];
+ vX_[995] = vX_[1760] - vX_[1098] + vX_[995];
+ vX_[1098] = vX_[1696] * 0.1466472 + vX_[1672] * 0.5824264 + vX_[2390] * -5.1e-05 + (0 - vX_[1561]) * -0.123672 + (0 - vX_[3093]) * -3.6e-05;
+ vX_[1760] = vX_[1561] * -0.022734;
+ vX_[2212] = vX_[2617] - vX_[2212] - vX_[1760];
+ vX_[2617] = vX_[1696] * vX_[52] + vX_[1534] * vX_[525] + vX_[1672] * vX_[477] + vX_[1561] * vX_[475] + vX_[3093] * vX_[527];
+ vX_[2212] = vX_[1439] * vX_[65] + vX_[1302] * vX_[9] + vX_[995] * vX_[809] + vX_[805] * vX_[812] + vX_[1098] * vX_[810] + vX_[1976] * vX_[808] + vX_[2212] * vX_[816] + vX_[2212] * vX_[816] - vX_[2617] * x_in[33];
+ vX_[1668] = 0 - vX_[1668];
+ vX_[1976] = vX_[292] + vX_[1659];
+ vX_[805] = 0 - vX_[1705];
+ vX_[1563] = 0 - vX_[323];
+ vX_[1703] = 0 - vX_[1703] + vX_[462];
+ vX_[462] = 0 - vX_[309];
+ jac[563] = 0 - (vX_[1455] * vX_[859] + vX_[1589] * vX_[848] + vX_[2415] * vX_[661] + vX_[1658] * vX_[663] + vX_[1663] * vX_[104] + vX_[1659] * vX_[594] + vX_[1562] * vX_[87] + vX_[1662] * vX_[634] + vX_[1702] * vX_[112] + vX_[1660] * vX_[608] + vX_[1683] * vX_[530] + vX_[1694] * vX_[610] + vX_[1623] * vX_[121] + vX_[1673] * vX_[535] + vX_[1657] * vX_[537] + vX_[1709] * vX_[585] + vX_[1594] * vX_[481] + vX_[1685] * vX_[532] + vX_[3671] * x_in[22] + vX_[3113] * x_in[19] + (vX_[1564] * vX_[859] + vX_[2204] * vX_[101] + vX_[3671] * x_in[20]) * -0.3735 - (vX_[1627] * vX_[883] + vX_[1637] * x_in[23]) + (vX_[1589] * vX_[883] + vX_[1637] * x_in[19]) * -0.3735 + (vX_[1495] * vX_[883] + vX_[1293] * vX_[479] + vX_[309] * vX_[531] + vX_[1692] * vX_[114] + vX_[281] * vX_[116] + vX_[1705] * vX_[87] + vX_[323] * vX_[96] + vX_[1674] * vX_[99] + vX_[337] * vX_[115] + vX_[1294] * vX_[104] + vX_[1707] * vX_[477] + vX_[309] * vX_[528] + vX_[3537] * vX_[52] + vX_[3550] * vX_[484] + vX_[1637] * x_in[18]) * 0.207 - (vX_[1564] * vX_[853] + vX_[311] * vX_[660] + vX_[1669] * vX_[650] + vX_[1670] * vX_[87] + vX_[292] * vX_[627] + vX_[1553] * vX_[611] + vX_[1701] * vX_[122] + vX_[1661] * vX_[633] + vX_[1731] * vX_[607] + vX_[1665] * vX_[609] + vX_[1533] * vX_[111] + vX_[777] * vX_[534] + vX_[1682] * vX_[584] + vX_[3485] * vX_[532] + vX_[515] * vX_[485] + vX_[2204] * vX_[102] + vX_[2212] * x_in[20])) * vX_[927] + (vX_[1627] * vX_[859] + vX_[1455] * vX_[883] + vX_[1564] * vX_[848] + vX_[1589] * vX_[853] + vX_[311] * vX_[663] + vX_[2415] * vX_[659] + vX_[1658] * vX_[660] + vX_[1669] * vX_[104] + vX_[1668] * vX_[650] + vX_[1670] * vX_[594] + vX_[1976] * vX_[87] + vX_[1562] * vX_[627] + vX_[1662] * vX_[633] + vX_[1553] * vX_[608] + vX_[1701] * vX_[112] + vX_[1702] * vX_[122] + vX_[1661] * vX_[634] + vX_[1660] * vX_[611] + vX_[1731] * vX_[530] + vX_[1665] * vX_[610] + vX_[1683] * vX_[607] + vX_[1694] * vX_[609] + vX_[1533] * vX_[121] + vX_[1623] * vX_[111] + vX_[777] * vX_[537] + vX_[1673] * vX_[533] + vX_[1657] * vX_[534] + vX_[1682] * vX_[585] + vX_[1704] * vX_[584] + vX_[3485] * vX_[481] + vX_[516] * vX_[532] + vX_[1685] * vX_[485] + vX_[2204] * vX_[100] + (vX_[1590] * vX_[529] + vX_[1405] * vX_[61] + vX_[1579] * vX_[116] + vX_[1693] * vX_[91] + vX_[2313] * vX_[105] + vX_[805] * vX_[90] + vX_[985] * vX_[99] + vX_[1563] * vX_[87] + vX_[443] * vX_[104] + vX_[1703] * vX_[115] + vX_[1590] * vX_[525] + vX_[462] * vX_[476] + vX_[1579] * vX_[120] + vX_[2313] * vX_[473]) * 0.207 + vX_[3671] * x_in[23] + vX_[1637] * x_in[22] + vX_[3113] * x_in[20] + vX_[2212] * x_in[19] + (vX_[1589] * vX_[859] + vX_[2204] * vX_[88] + vX_[3671] * x_in[19]) * 0.3735 + (vX_[1495] * vX_[859] + vX_[3671] * x_in[18]) * -0.207 + (vX_[1564] * vX_[883] + vX_[1637] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[311] = vX_[1818] - vX_[1591];
+ vX_[1813] = vX_[1690] + vX_[1813];
+ vX_[1820] = vX_[1679] + vX_[1820];
+ vX_[1679] = 0 - vX_[1820];
+ vX_[1690] = vX_[311] * vX_[50];
+ vX_[1693] = vX_[311] * vX_[88];
+ vX_[1816] = vX_[1717] + vX_[1816];
+ vX_[1849] = vX_[1843] + vX_[1849];
+ vX_[1814] = vX_[1722] + vX_[1814];
+ vX_[1750] = vX_[1667] + vX_[1750];
+ vX_[1667] = vX_[1750] * vX_[88] + vX_[1814] * vX_[50];
+ vX_[1722] = vX_[1750] * vX_[101] + vX_[1814] * vX_[88];
+ vX_[1848] = vX_[1833] + vX_[1848];
+ vX_[1691] = 0 - (vX_[1697] + vX_[1691]) + vX_[1848];
+ vX_[1697] = vX_[1841] - vX_[1776];
+ vX_[1812] = vX_[1719] + vX_[1812];
+ vX_[1851] = vX_[1854] + vX_[1851];
+ vX_[1854] = 0 - vX_[1851];
+ vX_[1719] = vX_[1697] * vX_[50];
+ vX_[1833] = vX_[1697] * vX_[88];
+ vX_[1843] = vX_[1720] + vX_[1718] * 0.207;
+ vX_[1717] = vX_[1577] * vX_[822] + vX_[1698] * vX_[88] + vX_[1718] * vX_[820] + vX_[1708] * vX_[821] + vX_[1374] * vX_[5];
+ vX_[1692] = vX_[1718] * vX_[88] + vX_[1708] * vX_[50];
+ vX_[2204] = vX_[1843] * vX_[833] + vX_[1717] * vX_[64] + vX_[1692] * vX_[834];
+ vX_[1405] = vX_[1843] * vX_[819] + vX_[1717] * vX_[9] + vX_[1692] * vX_[71];
+ vX_[1731] = vX_[2204] * 1 / vX_[41];
+ vX_[1293] = vX_[1405] * 1 / vX_[41];
+ vX_[1704] = vX_[1692] * 1 / vX_[41];
+ vX_[1682] = vX_[1843] * 1 / vX_[0];
+ vX_[1665] = vX_[1577] * vX_[88] + vX_[1698] * vX_[50] + vX_[1718] * vX_[102] + vX_[1708] * vX_[100] + vX_[1374] * vX_[811];
+ vX_[1661] = vX_[1665] * 1 / vX_[0];
+ vX_[281] = vX_[1717] * 1 / vX_[0];
+ vX_[1533] = vX_[1374] * 1 / vX_[0];
+ vX_[516] = vX_[1692] * 1 / vX_[0];
+ vX_[515] = vX_[1718] * vX_[101] + vX_[1708] * vX_[88];
+ vX_[3485] = vX_[515] * 1 / vX_[0];
+ vX_[777] = vX_[1374] - (vX_[1682] * vX_[97] + vX_[1661] * vX_[27] + vX_[281] * vX_[17] + vX_[1533] * vX_[0] + vX_[516] * vX_[110] + vX_[3485] * vX_[119]);
+ vX_[1685] = vX_[777] * vX_[4] + vX_[515] * vX_[65];
+ vX_[1594] = vX_[1685] * 1 / vX_[41];
+ vX_[1709] = vX_[777] * vX_[65] + vX_[515] * vX_[9];
+ vX_[1657] = vX_[1709] * 1 / vX_[41];
+ vX_[1673] = vX_[1692] - (vX_[1731] * vX_[26] + vX_[1293] * vX_[44] + vX_[1704] * vX_[41] + vX_[1594] * vX_[32] + vX_[1657] * vX_[69]);
+ vX_[1623] = vX_[2204] * vX_[62] + vX_[1405] * vX_[76] + vX_[1673] * vX_[77];
+ vX_[1701] = vX_[2204] * vX_[76] + vX_[1405] * vX_[843] + vX_[1673] * vX_[844];
+ vX_[1694] = vX_[1673] - (vX_[1701] * 38.1956380581338 * 0.1104774 + vX_[1623] * 38.1956380581338 * 0.0004405 + vX_[1673] * 38.1956380581338 * 0.026181);
+ vX_[1683] = vX_[1685] * vX_[76] + vX_[1709] * vX_[79];
+ vX_[1553] = vX_[1623] * 0.881 + (0 - vX_[1694]) * -0.0004405 + vX_[1683] * 8.81e-05;
+ vX_[1660] = vX_[1701] * -0.881;
+ vX_[1702] = vX_[1694] * 0.1104774;
+ vX_[1662] = vX_[1685] * vX_[62] + vX_[1709] * vX_[76];
+ vX_[1658] = vX_[1662] * 8.81e-05;
+ vX_[2415] = vX_[1660] - vX_[1702] + vX_[1658];
+ vX_[3518] = vX_[1553] * vX_[841] + vX_[2415] * vX_[838];
+ vX_[2446] = vX_[1405] * 3.146 + (0 - vX_[1673]) * 0.0825825;
+ vX_[177] = vX_[2204] * -3.146;
+ vX_[2870] = vX_[1673] * 0.47422804;
+ vX_[2765] = vX_[177] - vX_[2870];
+ vX_[1950] = vX_[3518] + vX_[2446] * vX_[829] + vX_[2765] * vX_[826];
+ vX_[1908] = vX_[1717] * 3.44 + vX_[1692] * 0.5824264;
+ vX_[2646] = 0 - vX_[1908];
+ vX_[1143] = vX_[1843] * 3.44 + (0 - vX_[1692]) * 0.1466472;
+ vX_[1764] = vX_[1843] * vX_[104] + vX_[1665] * vX_[87] + vX_[1717] * vX_[96] + vX_[1692] * vX_[477] + vX_[515] * vX_[528];
+ vX_[169] = vX_[1950] + vX_[2646] * vX_[810] + vX_[1143] * vX_[816] + vX_[1764] * x_in[33];
+ vX_[2459] = 0 - vX_[1553];
+ vX_[1658] = 0 - vX_[1660] + vX_[1702] - vX_[1658];
+ vX_[1702] = vX_[1665] + vX_[777] * 0.08;
+ vX_[1660] = vX_[1702] + vX_[1685] * -0.35;
+ vX_[3476] = vX_[1660] * -0.0004405 + vX_[1701] * 8.81e-05 + vX_[1662] * -0.000227999999999999;
+ vX_[1290] = vX_[1660] * 0.1104774 + vX_[1623] * 8.81e-05 + (0 - vX_[1683]) * 0.025713;
+ vX_[1159] = (0 - vX_[1701]) * -0.0004405;
+ vX_[3436] = (0 - vX_[1623]) * 0.1104774;
+ vX_[1531] = vX_[1159] + vX_[3436];
+ vX_[1531] = vX_[2459] * vX_[845] + vX_[1658] * vX_[836] + vX_[3476] * vX_[841] + vX_[1290] * vX_[838] + vX_[1531] * vX_[832] + vX_[1531] * vX_[832];
+ vX_[1421] = vX_[1660] * 0.881 + (0 - vX_[1683]) * 0.1104774 + vX_[1662] * -0.0004405;
+ vX_[3779] = vX_[1701] * -0.00185880198235362 + vX_[1623] * 0.880992588508842 + vX_[1683] * 8.81e-05;
+ vX_[2459] = vX_[2459] * vX_[832] + vX_[1421] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1400] = 0 - vX_[1421];
+ vX_[1552] = vX_[1701] * 0.414812462825713 + vX_[1623] * -0.00185880198235362 + vX_[1662] * -8.81e-05;
+ vX_[1658] = vX_[1658] * vX_[832] + vX_[1400] * vX_[841] - vX_[1552] * x_in[35];
+ vX_[1492] = 0 - vX_[2446];
+ vX_[2870] = 0 - vX_[177] + vX_[2870];
+ vX_[177] = vX_[1702] * 0.0825825 + (0 - vX_[1673]) * -0.000102 + vX_[1685] * -0.007418 + vX_[1709] * 0.002735;
+ vX_[687] = vX_[1702] * 0.47422804 + vX_[1673] * 2.1e-05 + (0 - vX_[1685]) * 0.084376 + (0 - vX_[1709]) * -0.007418;
+ vX_[1271] = (0 - vX_[2204]) * 0.0825825;
+ vX_[2460] = (0 - vX_[1405]) * 0.47422804;
+ vX_[1422] = vX_[1685] * -0.000102;
+ vX_[1570] = (0 - vX_[1709]) * 2.1e-05;
+ vX_[3432] = vX_[1271] + vX_[2460] + vX_[1422] + vX_[1570];
+ vX_[3432] = vX_[1531] + vX_[2459] * vX_[844] + vX_[1658] * vX_[77] + vX_[1492] * vX_[835] + vX_[2870] * vX_[824] + vX_[177] * vX_[829] + vX_[687] * vX_[826] + vX_[3432] * vX_[818] + vX_[3432] * vX_[818];
+ vX_[512] = vX_[1702] * 3.146 + (0 - vX_[1685]) * 0.47422804 + vX_[1709] * 0.0825825;
+ vX_[1706] = vX_[2204] * vX_[73] + vX_[1405] * vX_[75] + vX_[1685] * vX_[34] + vX_[1709] * vX_[13];
+ vX_[1492] = vX_[2459] * vX_[76] + vX_[1658] * vX_[62] + vX_[1492] * vX_[818] + vX_[512] * vX_[826] + vX_[1706] * x_in[34];
+ vX_[3232] = 0 - vX_[512];
+ vX_[2827] = vX_[2204] * vX_[80] + vX_[1405] * vX_[73] + vX_[1685] * vX_[21] + vX_[1709] * vX_[24];
+ vX_[2870] = vX_[2459] * vX_[843] + vX_[1658] * vX_[76] + vX_[2870] * vX_[818] + vX_[3232] * vX_[829] - vX_[2827] * x_in[34];
+ vX_[688] = 0 - vX_[1143];
+ vX_[3415] = vX_[1665] * 0.5824264 + (0 - vX_[777]) * -0.022734 + vX_[1692] * -3.6e-05 + vX_[515] * -0.133138;
+ vX_[2907] = vX_[1665] * 0.1466472 + vX_[777] * 0.009466 + (0 - vX_[1692]) * -5.1e-05 + vX_[515] * -0.022734;
+ vX_[277] = (0 - vX_[1843]) * 0.5824264;
+ vX_[3121] = (0 - vX_[1717]) * 0.1466472;
+ vX_[321] = (0 - vX_[777]) * -3.6e-05;
+ vX_[3020] = (0 - vX_[515]) * -5.1e-05;
+ vX_[282] = vX_[277] + vX_[3121] + vX_[321] - vX_[3020];
+ vX_[259] = vX_[1843] * vX_[120] + vX_[1665] * vX_[476] + vX_[1717] * vX_[528] + vX_[1692] * vX_[527] + vX_[515] * vX_[53];
+ vX_[282] = vX_[3432] + vX_[1492] * vX_[834] + vX_[2870] * vX_[71] + vX_[1908] * vX_[809] + vX_[688] * vX_[823] + vX_[3415] * vX_[810] + vX_[2907] * vX_[816] + vX_[282] * vX_[808] + vX_[282] * vX_[808] + vX_[259] * x_in[33];
+ vX_[276] = vX_[1823] - vX_[1776];
+ vX_[3611] = vX_[276] * vX_[88] + vX_[1812] * vX_[50];
+ vX_[768] = vX_[276] * vX_[101] + vX_[1812] * vX_[88];
+ vX_[2830] = vX_[768] + vX_[1719];
+ vX_[3535] = vX_[3611] * vX_[101] + vX_[2830] * vX_[88] + vX_[1833] * vX_[50];
+ vX_[3607] = 0 - vX_[3535];
+ vX_[310] = vX_[1776] + vX_[3611] * vX_[88] + vX_[1719] * vX_[50];
+ vX_[308] = 0 - vX_[310];
+ vX_[3618] = vX_[1776] + vX_[768] * vX_[101] + vX_[1833] * vX_[88];
+ vX_[1343] = vX_[1715] + vX_[1343] - vX_[1849];
+ vX_[1715] = vX_[1848] * vX_[88] + vX_[1849] * vX_[50];
+ vX_[284] = 0 - (vX_[1343] * vX_[101] + vX_[1691] * vX_[88]) + vX_[1715];
+ vX_[469] = vX_[284] + vX_[310] * vX_[89];
+ vX_[271] = 0 - vX_[469];
+ vX_[3541] = vX_[1848] * vX_[101] + vX_[1849] * vX_[88];
+ vX_[314] = vX_[1343] * vX_[88] + vX_[1691] * vX_[50] + vX_[3541];
+ vX_[341] = 0 - vX_[3618];
+ vX_[3056] = vX_[314] + vX_[3535] * vX_[89] + vX_[341] * vX_[5];
+ vX_[1815] = vX_[1569] + vX_[1815];
+ vX_[1569] = vX_[1816] * vX_[88] + vX_[1815] * vX_[101];
+ vX_[1737] = vX_[1569] * vX_[88] + vX_[1722] * vX_[50];
+ vX_[1831] = vX_[1664] + vX_[1831];
+ vX_[1851] = 0 - vX_[1851];
+ vX_[1664] = vX_[1831] * vX_[101] + vX_[1851] * vX_[88];
+ vX_[3092] = 0 - vX_[1664];
+ vX_[653] = vX_[1737] + vX_[3092] * vX_[5] + vX_[308] * vX_[103];
+ vX_[363] = 0 - vX_[653];
+ vX_[2964] = vX_[1816] * vX_[50] + vX_[1815] * vX_[88];
+ vX_[3268] = vX_[2964] * vX_[101] + vX_[1667] * vX_[88];
+ vX_[345] = vX_[1831] * vX_[88] + vX_[1854] * vX_[50];
+ vX_[293] = 0 - vX_[345];
+ vX_[336] = vX_[3268] + vX_[293] * vX_[89] + vX_[3618] * vX_[103];
+ vX_[3637] = vX_[2964] * vX_[88] + vX_[1667] * vX_[50];
+ vX_[2210] = vX_[3637] + vX_[1664] * vX_[89];
+ vX_[2669] = vX_[1569] * vX_[101] + vX_[1722] * vX_[88];
+ vX_[990] = vX_[2669] + vX_[345] * vX_[5] + vX_[3607] * vX_[103];
+ vX_[124] = 0 - vX_[2210] + vX_[990];
+ vX_[3063] = 0 - vX_[3535];
+ vX_[996] = 0 - vX_[310];
+ vX_[308] = vX_[3607] * vX_[531] + vX_[308] * vX_[479] + vX_[3618] * vX_[61] + vX_[271] * vX_[104] + vX_[3056] * vX_[115] + vX_[363] * vX_[96] + vX_[336] * vX_[90] + vX_[124] * vX_[87] + vX_[3535] * vX_[525] + vX_[3063] * vX_[528] + vX_[996] * vX_[478] + vX_[3618] * vX_[482];
+ vX_[3607] = vX_[1665] * -3.44;
+ vX_[2159] = vX_[777] * 0.1466472;
+ vX_[2680] = vX_[515] * 0.5824264;
+ vX_[2466] = 0 - vX_[3607] + vX_[2159] - vX_[2680];
+ vX_[368] = vX_[1843] * vX_[115] + vX_[1665] * vX_[90] + vX_[1717] * vX_[87] + vX_[1692] * vX_[525] + vX_[515] * vX_[476];
+ vX_[688] = vX_[1492] * vX_[64] + vX_[2870] * vX_[9] + vX_[2466] * vX_[810] + vX_[688] * vX_[808] - vX_[368] * x_in[33];
+ vX_[1776] = vX_[1823] + vX_[1841] + vX_[1776] - vX_[310] - vX_[3618];
+ vX_[1841] = 0 - vX_[1776];
+ vX_[1715] = vX_[1715] + vX_[1841] * vX_[89];
+ vX_[3541] = vX_[3541] + vX_[1776] * vX_[5];
+ vX_[1823] = 0 - vX_[3056];
+ vX_[716] = 0 - vX_[336];
+ vX_[1850] = vX_[1853] + vX_[1850] + vX_[1815] + vX_[1814] - vX_[3637] - vX_[2669];
+ vX_[990] = vX_[1850] - vX_[990];
+ vX_[1853] = 0 - vX_[1664];
+ vX_[331] = 0 - vX_[3535];
+ vX_[748] = 0 - vX_[3618];
+ vX_[2755] = vX_[1811] - vX_[1591];
+ vX_[1821] = vX_[1626] + vX_[1821];
+ vX_[1626] = vX_[2755] * vX_[88] + vX_[1813] * vX_[50];
+ vX_[3239] = vX_[2755] * vX_[101] + vX_[1813] * vX_[88];
+ vX_[1694] = vX_[1701] * 0.1104774 + vX_[1623] * -0.0004405 + vX_[1694] * 0.025941;
+ vX_[1009] = (0 - vX_[1660]) * 8.81e-05;
+ vX_[3436] = vX_[1009] + vX_[3436];
+ vX_[1662] = vX_[1660] * -0.0004405 + vX_[1701] * -8.81e-05 + vX_[1662] * 0.000468;
+ vX_[3436] = vX_[1553] * vX_[839] + vX_[1400] * vX_[836] + vX_[3476] * vX_[832] + vX_[1694] * vX_[838] + vX_[3436] * vX_[841] + vX_[3436] * vX_[841] + vX_[1662] * x_in[35];
+ vX_[1009] = vX_[1009] + vX_[1159];
+ vX_[1660] = vX_[1660] * -0.1104774 + vX_[1623] * 8.81e-05 + vX_[1683] * 0.026409;
+ jac[1284] = vX_[1552] * vX_[850] + vX_[3779] * vX_[845] + vX_[1660] * vX_[858] + vX_[1662] * vX_[841] + vX_[1531];
+ vX_[1660] = vX_[2415] * vX_[839] + vX_[1421] * vX_[845] + vX_[1290] * vX_[832] + vX_[1694] * vX_[841] + vX_[1009] * vX_[838] + vX_[1009] * vX_[838] - vX_[1660] * x_in[35];
+ vX_[1009] = vX_[2204] * 0.47422804 + vX_[1405] * 0.0825825 + vX_[1673] * 0.081641 + (0 - vX_[1685]) * 2.1e-05 + vX_[1709] * -0.000102;
+ vX_[1694] = (0 - vX_[1673]) * -0.007418;
+ vX_[1570] = vX_[2460] + vX_[1694] - vX_[1570];
+ vX_[2460] = vX_[1702] * vX_[43] + vX_[2204] * vX_[24] + vX_[1405] * vX_[13] + vX_[1685] * vX_[29] + vX_[1709] * vX_[40];
+ vX_[1570] = vX_[3518] * -0.35 + vX_[3436] * vX_[76] + vX_[1660] * vX_[62] + vX_[2446] * vX_[827] + vX_[3232] * vX_[824] + vX_[177] * vX_[818] + vX_[1009] * vX_[826] + vX_[1570] * vX_[829] + vX_[1570] * vX_[829] + vX_[2460] * x_in[34];
+ vX_[1694] = vX_[1271] - vX_[1694] - vX_[1422];
+ vX_[1422] = vX_[1702] * vX_[30] + vX_[2204] * vX_[21] + vX_[1405] * vX_[34] + vX_[1685] * vX_[7] + vX_[1709] * vX_[29];
+ jac[1248] = vX_[2827] * vX_[868] + vX_[1706] * vX_[835] + vX_[1422] * vX_[865] + vX_[2460] * vX_[829] + vX_[3432];
+ vX_[1422] = vX_[3436] * vX_[79] + vX_[1660] * vX_[76] + vX_[2765] * vX_[827] + vX_[512] * vX_[835] + vX_[687] * vX_[818] + vX_[1009] * vX_[829] + vX_[1694] * vX_[826] + vX_[1694] * vX_[826] - vX_[1422] * x_in[34];
+ vX_[2680] = vX_[3607] - vX_[2159] + vX_[2680];
+ vX_[2159] = vX_[1843] * 0.1466472 + vX_[1717] * 0.5824264 + vX_[777] * -5.1e-05 + (0 - vX_[1692]) * -0.123672 + (0 - vX_[515]) * -3.6e-05;
+ vX_[3607] = vX_[1692] * -0.022734;
+ vX_[321] = vX_[277] - vX_[321] - vX_[3607];
+ vX_[277] = vX_[1843] * vX_[52] + vX_[1665] * vX_[525] + vX_[1717] * vX_[477] + vX_[1692] * vX_[475] + vX_[515] * vX_[527];
+ vX_[321] = vX_[1570] * vX_[65] + vX_[1422] * vX_[9] + vX_[2680] * vX_[809] + vX_[1143] * vX_[812] + vX_[2159] * vX_[810] + vX_[2907] * vX_[808] + vX_[321] * vX_[816] + vX_[321] * vX_[816] - vX_[277] * x_in[33];
+ vX_[1820] = 0 - vX_[1820];
+ vX_[2907] = vX_[3239] + vX_[1690];
+ vX_[1143] = 0 - vX_[1715];
+ vX_[1694] = 0 - vX_[3541];
+ vX_[1850] = 0 - vX_[1850] + vX_[2210];
+ vX_[2210] = 0 - vX_[345];
+ jac[564] = 0 - (vX_[1698] * vX_[859] + vX_[1708] * vX_[848] + vX_[311] * vX_[661] + vX_[1813] * vX_[663] + vX_[1679] * vX_[104] + vX_[1690] * vX_[594] + vX_[1693] * vX_[87] + vX_[1816] * vX_[634] + vX_[1849] * vX_[112] + vX_[1814] * vX_[608] + vX_[1667] * vX_[530] + vX_[1722] * vX_[610] + vX_[1691] * vX_[121] + vX_[1697] * vX_[535] + vX_[1812] * vX_[537] + vX_[1854] * vX_[585] + vX_[1719] * vX_[481] + vX_[1833] * vX_[532] + vX_[169] * x_in[22] + vX_[282] * x_in[19] + (vX_[1718] * vX_[859] + vX_[308] * vX_[101] + vX_[169] * x_in[20]) * -0.3735 - (vX_[1577] * vX_[883] + vX_[688] * x_in[23]) + (vX_[1708] * vX_[883] + vX_[688] * x_in[19]) * -0.3735 + (vX_[1374] * vX_[883] + vX_[3092] * vX_[479] + vX_[345] * vX_[531] + vX_[1776] * vX_[114] + vX_[341] * vX_[116] + vX_[1715] * vX_[87] + vX_[3541] * vX_[96] + vX_[1823] * vX_[99] + vX_[716] * vX_[115] + vX_[990] * vX_[104] + vX_[1853] * vX_[477] + vX_[345] * vX_[528] + vX_[331] * vX_[52] + vX_[748] * vX_[484] + vX_[688] * x_in[18]) * 0.207 - (vX_[1718] * vX_[853] + vX_[2755] * vX_[660] + vX_[1821] * vX_[650] + vX_[1626] * vX_[87] + vX_[3239] * vX_[627] + vX_[1750] * vX_[611] + vX_[1848] * vX_[122] + vX_[1815] * vX_[633] + vX_[2964] * vX_[607] + vX_[1569] * vX_[609] + vX_[1343] * vX_[111] + vX_[276] * vX_[534] + vX_[1831] * vX_[584] + vX_[3611] * vX_[532] + vX_[768] * vX_[485] + vX_[308] * vX_[102] + vX_[321] * x_in[20])) * vX_[927] + (vX_[1577] * vX_[859] + vX_[1698] * vX_[883] + vX_[1718] * vX_[848] + vX_[1708] * vX_[853] + vX_[2755] * vX_[663] + vX_[311] * vX_[659] + vX_[1813] * vX_[660] + vX_[1821] * vX_[104] + vX_[1820] * vX_[650] + vX_[1626] * vX_[594] + vX_[2907] * vX_[87] + vX_[1693] * vX_[627] + vX_[1816] * vX_[633] + vX_[1750] * vX_[608] + vX_[1848] * vX_[112] + vX_[1849] * vX_[122] + vX_[1815] * vX_[634] + vX_[1814] * vX_[611] + vX_[2964] * vX_[530] + vX_[1569] * vX_[610] + vX_[1667] * vX_[607] + vX_[1722] * vX_[609] + vX_[1343] * vX_[121] + vX_[1691] * vX_[111] + vX_[276] * vX_[537] + vX_[1697] * vX_[533] + vX_[1812] * vX_[534] + vX_[1831] * vX_[585] + vX_[1851] * vX_[584] + vX_[3611] * vX_[481] + vX_[2830] * vX_[532] + vX_[1833] * vX_[485] + vX_[308] * vX_[100] + (vX_[1664] * vX_[529] + vX_[293] * vX_[61] + vX_[3535] * vX_[116] + vX_[1841] * vX_[91] + vX_[310] * vX_[105] + vX_[1143] * vX_[90] + vX_[469] * vX_[99] + vX_[1694] * vX_[87] + vX_[653] * vX_[104] + vX_[1850] * vX_[115] + vX_[1664] * vX_[525] + vX_[2210] * vX_[476] + vX_[3535] * vX_[120] + vX_[310] * vX_[473]) * 0.207 + vX_[169] * x_in[23] + vX_[688] * x_in[22] + vX_[282] * x_in[20] + vX_[321] * x_in[19] + (vX_[1708] * vX_[859] + vX_[308] * vX_[88] + vX_[169] * x_in[19]) * 0.3735 + (vX_[1374] * vX_[859] + vX_[169] * x_in[18]) * -0.207 + (vX_[1718] * vX_[883] + vX_[688] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[2755] = vX_[1969] - vX_[1886];
+ vX_[1964] = vX_[1586] + vX_[1964];
+ vX_[1971] = vX_[1713] + vX_[1971];
+ vX_[1713] = 0 - vX_[1971];
+ vX_[1586] = vX_[2755] * vX_[50];
+ vX_[1841] = vX_[2755] * vX_[88];
+ vX_[1967] = vX_[1829] + vX_[1967];
+ vX_[2000] = vX_[1994] + vX_[2000];
+ vX_[1965] = vX_[1845] + vX_[1965];
+ vX_[1923] = vX_[1700] + vX_[1923];
+ vX_[1700] = vX_[1923] * vX_[88] + vX_[1965] * vX_[50];
+ vX_[1845] = vX_[1923] * vX_[101] + vX_[1965] * vX_[88];
+ vX_[1999] = vX_[1984] + vX_[1999];
+ vX_[1878] = 0 - (vX_[1773] + vX_[1878]) + vX_[1999];
+ vX_[1773] = vX_[1992] - vX_[1801];
+ vX_[1963] = vX_[1838] + vX_[1963];
+ vX_[2002] = vX_[2005] + vX_[2002];
+ vX_[2005] = 0 - vX_[2002];
+ vX_[1838] = vX_[1773] * vX_[50];
+ vX_[1984] = vX_[1773] * vX_[88];
+ vX_[1994] = vX_[1828] + vX_[1110] * 0.207;
+ vX_[1829] = vX_[1791] * vX_[822] + vX_[1840] * vX_[88] + vX_[1110] * vX_[820] + vX_[1680] * vX_[821] + vX_[1796] * vX_[5];
+ vX_[1776] = vX_[1110] * vX_[88] + vX_[1680] * vX_[50];
+ vX_[308] = vX_[1994] * vX_[833] + vX_[1829] * vX_[64] + vX_[1776] * vX_[834];
+ vX_[293] = vX_[1994] * vX_[819] + vX_[1829] * vX_[9] + vX_[1776] * vX_[71];
+ vX_[2964] = vX_[308] * 1 / vX_[41];
+ vX_[3092] = vX_[293] * 1 / vX_[41];
+ vX_[1851] = vX_[1776] * 1 / vX_[41];
+ vX_[1831] = vX_[1994] * 1 / vX_[0];
+ vX_[1569] = vX_[1791] * vX_[88] + vX_[1840] * vX_[50] + vX_[1110] * vX_[102] + vX_[1680] * vX_[100] + vX_[1796] * vX_[811];
+ vX_[1815] = vX_[1569] * 1 / vX_[0];
+ vX_[341] = vX_[1829] * 1 / vX_[0];
+ vX_[1343] = vX_[1796] * 1 / vX_[0];
+ vX_[2830] = vX_[1776] * 1 / vX_[0];
+ vX_[768] = vX_[1110] * vX_[101] + vX_[1680] * vX_[88];
+ vX_[3611] = vX_[768] * 1 / vX_[0];
+ vX_[276] = vX_[1796] - (vX_[1831] * vX_[97] + vX_[1815] * vX_[27] + vX_[341] * vX_[17] + vX_[1343] * vX_[0] + vX_[2830] * vX_[110] + vX_[3611] * vX_[119]);
+ vX_[1833] = vX_[276] * vX_[4] + vX_[768] * vX_[65];
+ vX_[1719] = vX_[1833] * 1 / vX_[41];
+ vX_[1854] = vX_[276] * vX_[65] + vX_[768] * vX_[9];
+ vX_[1812] = vX_[1854] * 1 / vX_[41];
+ vX_[1697] = vX_[1776] - (vX_[2964] * vX_[26] + vX_[3092] * vX_[44] + vX_[1851] * vX_[41] + vX_[1719] * vX_[32] + vX_[1812] * vX_[69]);
+ vX_[1691] = vX_[308] * vX_[62] + vX_[293] * vX_[76] + vX_[1697] * vX_[77];
+ vX_[1848] = vX_[308] * vX_[76] + vX_[293] * vX_[843] + vX_[1697] * vX_[844];
+ vX_[1722] = vX_[1697] - (vX_[1848] * 38.1956380581338 * 0.1104774 + vX_[1691] * 38.1956380581338 * 0.0004405 + vX_[1697] * 38.1956380581338 * 0.026181);
+ vX_[1667] = vX_[1833] * vX_[76] + vX_[1854] * vX_[79];
+ vX_[1750] = vX_[1691] * 0.881 + (0 - vX_[1722]) * -0.0004405 + vX_[1667] * 8.81e-05;
+ vX_[1814] = vX_[1848] * -0.881;
+ vX_[1849] = vX_[1722] * 0.1104774;
+ vX_[1816] = vX_[1833] * vX_[62] + vX_[1854] * vX_[76];
+ vX_[1813] = vX_[1816] * 8.81e-05;
+ vX_[311] = vX_[1814] - vX_[1849] + vX_[1813];
+ vX_[1009] = vX_[1750] * vX_[841] + vX_[311] * vX_[838];
+ vX_[512] = vX_[293] * 3.146 + (0 - vX_[1697]) * 0.0825825;
+ vX_[687] = vX_[308] * -3.146;
+ vX_[2765] = vX_[1697] * 0.47422804;
+ vX_[2460] = vX_[687] - vX_[2765];
+ vX_[2827] = vX_[1009] + vX_[512] * vX_[829] + vX_[2460] * vX_[826];
+ vX_[1706] = vX_[1829] * 3.44 + vX_[1776] * 0.5824264;
+ vX_[3432] = 0 - vX_[1706];
+ vX_[1271] = vX_[1994] * 3.44 + (0 - vX_[1776]) * 0.1466472;
+ vX_[3232] = vX_[1994] * vX_[104] + vX_[1569] * vX_[87] + vX_[1829] * vX_[96] + vX_[1776] * vX_[477] + vX_[768] * vX_[528];
+ vX_[177] = vX_[2827] + vX_[3432] * vX_[810] + vX_[1271] * vX_[816] + vX_[3232] * x_in[33];
+ vX_[2446] = 0 - vX_[1750];
+ vX_[1813] = 0 - vX_[1814] + vX_[1849] - vX_[1813];
+ vX_[1849] = vX_[1569] + vX_[276] * 0.08;
+ vX_[1814] = vX_[1849] + vX_[1833] * -0.35;
+ vX_[3518] = vX_[1814] * -0.0004405 + vX_[1848] * 8.81e-05 + vX_[1816] * -0.000227999999999999;
+ vX_[1421] = vX_[1814] * 0.1104774 + vX_[1691] * 8.81e-05 + (0 - vX_[1667]) * 0.025713;
+ vX_[1290] = (0 - vX_[1848]) * -0.0004405;
+ vX_[2415] = (0 - vX_[1691]) * 0.1104774;
+ vX_[1662] = vX_[1290] + vX_[2415];
+ vX_[1662] = vX_[2446] * vX_[845] + vX_[1813] * vX_[836] + vX_[3518] * vX_[841] + vX_[1421] * vX_[838] + vX_[1662] * vX_[832] + vX_[1662] * vX_[832];
+ vX_[1552] = vX_[1814] * 0.881 + (0 - vX_[1667]) * 0.1104774 + vX_[1816] * -0.0004405;
+ vX_[3779] = vX_[1848] * -0.00185880198235362 + vX_[1691] * 0.880992588508842 + vX_[1667] * 8.81e-05;
+ vX_[2446] = vX_[2446] * vX_[832] + vX_[1552] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1531] = 0 - vX_[1552];
+ vX_[1683] = vX_[1848] * 0.414812462825713 + vX_[1691] * -0.00185880198235362 + vX_[1816] * -8.81e-05;
+ vX_[1813] = vX_[1813] * vX_[832] + vX_[1531] * vX_[841] - vX_[1683] * x_in[35];
+ vX_[1623] = 0 - vX_[512];
+ vX_[2765] = 0 - vX_[687] + vX_[2765];
+ vX_[687] = vX_[1849] * 0.0825825 + (0 - vX_[1697]) * -0.000102 + vX_[1833] * -0.007418 + vX_[1854] * 0.002735;
+ vX_[1159] = vX_[1849] * 0.47422804 + vX_[1697] * 2.1e-05 + (0 - vX_[1833]) * 0.084376 + (0 - vX_[1854]) * -0.007418;
+ vX_[1400] = (0 - vX_[308]) * 0.0825825;
+ vX_[3476] = (0 - vX_[293]) * 0.47422804;
+ vX_[1553] = vX_[1833] * -0.000102;
+ vX_[1701] = (0 - vX_[1854]) * 2.1e-05;
+ vX_[3626] = vX_[1400] + vX_[3476] + vX_[1553] + vX_[1701];
+ vX_[3626] = vX_[1662] + vX_[2446] * vX_[844] + vX_[1813] * vX_[77] + vX_[1623] * vX_[835] + vX_[2765] * vX_[824] + vX_[687] * vX_[829] + vX_[1159] * vX_[826] + vX_[3626] * vX_[818] + vX_[3626] * vX_[818];
+ vX_[2969] = vX_[1849] * 3.146 + (0 - vX_[1833]) * 0.47422804 + vX_[1854] * 0.0825825;
+ vX_[362] = vX_[308] * vX_[73] + vX_[293] * vX_[75] + vX_[1833] * vX_[34] + vX_[1854] * vX_[13];
+ vX_[1623] = vX_[2446] * vX_[76] + vX_[1813] * vX_[62] + vX_[1623] * vX_[818] + vX_[2969] * vX_[826] + vX_[362] * x_in[34];
+ vX_[3337] = 0 - vX_[2969];
+ vX_[3264] = vX_[308] * vX_[80] + vX_[293] * vX_[73] + vX_[1833] * vX_[21] + vX_[1854] * vX_[24];
+ vX_[2765] = vX_[2446] * vX_[843] + vX_[1813] * vX_[76] + vX_[2765] * vX_[818] + vX_[3337] * vX_[829] - vX_[3264] * x_in[34];
+ vX_[3564] = 0 - vX_[1271];
+ vX_[3621] = vX_[1569] * 0.5824264 + (0 - vX_[276]) * -0.022734 + vX_[1776] * -3.6e-05 + vX_[768] * -0.133138;
+ vX_[3639] = vX_[1569] * 0.1466472 + vX_[276] * 0.009466 + (0 - vX_[1776]) * -5.1e-05 + vX_[768] * -0.022734;
+ vX_[3314] = (0 - vX_[1994]) * 0.5824264;
+ vX_[3600] = (0 - vX_[1829]) * 0.1466472;
+ vX_[1454] = (0 - vX_[276]) * -3.6e-05;
+ vX_[3302] = (0 - vX_[768]) * -5.1e-05;
+ vX_[2449] = vX_[3314] + vX_[3600] + vX_[1454] - vX_[3302];
+ vX_[367] = vX_[1994] * vX_[120] + vX_[1569] * vX_[476] + vX_[1829] * vX_[528] + vX_[1776] * vX_[527] + vX_[768] * vX_[53];
+ vX_[2449] = vX_[3626] + vX_[1623] * vX_[834] + vX_[2765] * vX_[71] + vX_[1706] * vX_[809] + vX_[3564] * vX_[823] + vX_[3621] * vX_[810] + vX_[3639] * vX_[816] + vX_[2449] * vX_[808] + vX_[2449] * vX_[808] + vX_[367] * x_in[33];
+ vX_[2519] = vX_[1974] - vX_[1801];
+ vX_[2971] = vX_[2519] * vX_[88] + vX_[1963] * vX_[50];
+ vX_[2624] = vX_[2519] * vX_[101] + vX_[1963] * vX_[88];
+ vX_[3086] = vX_[2624] + vX_[1838];
+ vX_[742] = vX_[2971] * vX_[101] + vX_[3086] * vX_[88] + vX_[1984] * vX_[50];
+ vX_[365] = 0 - vX_[742];
+ vX_[373] = vX_[1801] + vX_[2971] * vX_[88] + vX_[1838] * vX_[50];
+ vX_[1862] = 0 - vX_[373];
+ vX_[1870] = vX_[1801] + vX_[2624] * vX_[101] + vX_[1984] * vX_[88];
+ vX_[1920] = vX_[1839] + vX_[1920] - vX_[2000];
+ vX_[1839] = vX_[1999] * vX_[88] + vX_[2000] * vX_[50];
+ vX_[3392] = 0 - (vX_[1920] * vX_[101] + vX_[1878] * vX_[88]) + vX_[1839];
+ vX_[662] = vX_[3392] + vX_[373] * vX_[89];
+ vX_[792] = 0 - vX_[662];
+ vX_[2344] = vX_[1999] * vX_[101] + vX_[2000] * vX_[88];
+ vX_[1321] = vX_[1920] * vX_[88] + vX_[1878] * vX_[50] + vX_[2344];
+ vX_[2489] = 0 - vX_[1870];
+ vX_[1220] = vX_[1321] + vX_[742] * vX_[89] + vX_[2489] * vX_[5];
+ vX_[1966] = vX_[1695] + vX_[1966];
+ vX_[1695] = vX_[1967] * vX_[88] + vX_[1966] * vX_[101];
+ vX_[2295] = vX_[1695] * vX_[88] + vX_[1845] * vX_[50];
+ vX_[1982] = vX_[1857] + vX_[1982];
+ vX_[2002] = 0 - vX_[2002];
+ vX_[1857] = vX_[1982] * vX_[101] + vX_[2002] * vX_[88];
+ vX_[2081] = 0 - vX_[1857];
+ vX_[3094] = vX_[2295] + vX_[2081] * vX_[5] + vX_[1862] * vX_[103];
+ vX_[2653] = 0 - vX_[3094];
+ vX_[2767] = vX_[1967] * vX_[50] + vX_[1966] * vX_[88];
+ vX_[1378] = vX_[2767] * vX_[101] + vX_[1700] * vX_[88];
+ vX_[736] = vX_[1982] * vX_[88] + vX_[2005] * vX_[50];
+ vX_[2536] = 0 - vX_[736];
+ vX_[2811] = vX_[1378] + vX_[2536] * vX_[89] + vX_[1870] * vX_[103];
+ vX_[3198] = vX_[2767] * vX_[88] + vX_[1700] * vX_[50];
+ vX_[3065] = vX_[3198] + vX_[1857] * vX_[89];
+ vX_[2176] = vX_[1695] * vX_[101] + vX_[1845] * vX_[88];
+ vX_[3099] = vX_[2176] + vX_[736] * vX_[5] + vX_[365] * vX_[103];
+ vX_[2679] = 0 - vX_[3065] + vX_[3099];
+ vX_[3122] = 0 - vX_[742];
+ vX_[2965] = 0 - vX_[373];
+ vX_[1862] = vX_[365] * vX_[531] + vX_[1862] * vX_[479] + vX_[1870] * vX_[61] + vX_[792] * vX_[104] + vX_[1220] * vX_[115] + vX_[2653] * vX_[96] + vX_[2811] * vX_[90] + vX_[2679] * vX_[87] + vX_[742] * vX_[525] + vX_[3122] * vX_[528] + vX_[2965] * vX_[478] + vX_[1870] * vX_[482];
+ vX_[365] = vX_[1569] * -3.44;
+ vX_[2741] = vX_[276] * 0.1466472;
+ vX_[1475] = vX_[768] * 0.5824264;
+ vX_[3089] = 0 - vX_[365] + vX_[2741] - vX_[1475];
+ vX_[1342] = vX_[1994] * vX_[115] + vX_[1569] * vX_[90] + vX_[1829] * vX_[87] + vX_[1776] * vX_[525] + vX_[768] * vX_[476];
+ vX_[3564] = vX_[1623] * vX_[64] + vX_[2765] * vX_[9] + vX_[3089] * vX_[810] + vX_[3564] * vX_[808] - vX_[1342] * x_in[33];
+ vX_[1801] = vX_[1974] + vX_[1992] + vX_[1801] - vX_[373] - vX_[1870];
+ vX_[1992] = 0 - vX_[1801];
+ vX_[1839] = vX_[1839] + vX_[1992] * vX_[89];
+ vX_[2344] = vX_[2344] + vX_[1801] * vX_[5];
+ vX_[1974] = 0 - vX_[1220];
+ vX_[2092] = 0 - vX_[2811];
+ vX_[2001] = vX_[2004] + vX_[2001] + vX_[1966] + vX_[1965] - vX_[3198] - vX_[2176];
+ vX_[3099] = vX_[2001] - vX_[3099];
+ vX_[2004] = 0 - vX_[1857];
+ vX_[1757] = 0 - vX_[742];
+ vX_[1417] = 0 - vX_[1870];
+ vX_[1514] = vX_[1962] - vX_[1886];
+ vX_[1972] = vX_[1830] + vX_[1972];
+ vX_[1830] = vX_[1514] * vX_[88] + vX_[1964] * vX_[50];
+ vX_[2386] = vX_[1514] * vX_[101] + vX_[1964] * vX_[88];
+ vX_[1722] = vX_[1848] * 0.1104774 + vX_[1691] * -0.0004405 + vX_[1722] * 0.025941;
+ vX_[461] = (0 - vX_[1814]) * 8.81e-05;
+ vX_[2415] = vX_[461] + vX_[2415];
+ vX_[1816] = vX_[1814] * -0.0004405 + vX_[1848] * -8.81e-05 + vX_[1816] * 0.000468;
+ vX_[2415] = vX_[1750] * vX_[839] + vX_[1531] * vX_[836] + vX_[3518] * vX_[832] + vX_[1722] * vX_[838] + vX_[2415] * vX_[841] + vX_[2415] * vX_[841] + vX_[1816] * x_in[35];
+ vX_[461] = vX_[461] + vX_[1290];
+ vX_[1814] = vX_[1814] * -0.1104774 + vX_[1691] * 8.81e-05 + vX_[1667] * 0.026409;
+ jac[1285] = vX_[1683] * vX_[850] + vX_[3779] * vX_[845] + vX_[1814] * vX_[858] + vX_[1816] * vX_[841] + vX_[1662];
+ vX_[1814] = vX_[311] * vX_[839] + vX_[1552] * vX_[845] + vX_[1421] * vX_[832] + vX_[1722] * vX_[841] + vX_[461] * vX_[838] + vX_[461] * vX_[838] - vX_[1814] * x_in[35];
+ vX_[461] = vX_[308] * 0.47422804 + vX_[293] * 0.0825825 + vX_[1697] * 0.081641 + (0 - vX_[1833]) * 2.1e-05 + vX_[1854] * -0.000102;
+ vX_[1722] = (0 - vX_[1697]) * -0.007418;
+ vX_[1701] = vX_[3476] + vX_[1722] - vX_[1701];
+ vX_[3476] = vX_[1849] * vX_[43] + vX_[308] * vX_[24] + vX_[293] * vX_[13] + vX_[1833] * vX_[29] + vX_[1854] * vX_[40];
+ vX_[1701] = vX_[1009] * -0.35 + vX_[2415] * vX_[76] + vX_[1814] * vX_[62] + vX_[512] * vX_[827] + vX_[3337] * vX_[824] + vX_[687] * vX_[818] + vX_[461] * vX_[826] + vX_[1701] * vX_[829] + vX_[1701] * vX_[829] + vX_[3476] * x_in[34];
+ vX_[1722] = vX_[1400] - vX_[1722] - vX_[1553];
+ vX_[1553] = vX_[1849] * vX_[30] + vX_[308] * vX_[21] + vX_[293] * vX_[34] + vX_[1833] * vX_[7] + vX_[1854] * vX_[29];
+ jac[1249] = vX_[3264] * vX_[868] + vX_[362] * vX_[835] + vX_[1553] * vX_[865] + vX_[3476] * vX_[829] + vX_[3626];
+ vX_[1553] = vX_[2415] * vX_[79] + vX_[1814] * vX_[76] + vX_[2460] * vX_[827] + vX_[2969] * vX_[835] + vX_[1159] * vX_[818] + vX_[461] * vX_[829] + vX_[1722] * vX_[826] + vX_[1722] * vX_[826] - vX_[1553] * x_in[34];
+ vX_[1475] = vX_[365] - vX_[2741] + vX_[1475];
+ vX_[2741] = vX_[1994] * 0.1466472 + vX_[1829] * 0.5824264 + vX_[276] * -5.1e-05 + (0 - vX_[1776]) * -0.123672 + (0 - vX_[768]) * -3.6e-05;
+ vX_[365] = vX_[1776] * -0.022734;
+ vX_[1454] = vX_[3314] - vX_[1454] - vX_[365];
+ vX_[3314] = vX_[1994] * vX_[52] + vX_[1569] * vX_[525] + vX_[1829] * vX_[477] + vX_[1776] * vX_[475] + vX_[768] * vX_[527];
+ vX_[1454] = vX_[1701] * vX_[65] + vX_[1553] * vX_[9] + vX_[1475] * vX_[809] + vX_[1271] * vX_[812] + vX_[2741] * vX_[810] + vX_[3639] * vX_[808] + vX_[1454] * vX_[816] + vX_[1454] * vX_[816] - vX_[3314] * x_in[33];
+ vX_[1971] = 0 - vX_[1971];
+ vX_[3639] = vX_[2386] + vX_[1586];
+ vX_[1271] = 0 - vX_[1839];
+ vX_[1722] = 0 - vX_[2344];
+ vX_[2001] = 0 - vX_[2001] + vX_[3065];
+ vX_[3065] = 0 - vX_[736];
+ jac[565] = 0 - (vX_[1840] * vX_[859] + vX_[1680] * vX_[848] + vX_[2755] * vX_[661] + vX_[1964] * vX_[663] + vX_[1713] * vX_[104] + vX_[1586] * vX_[594] + vX_[1841] * vX_[87] + vX_[1967] * vX_[634] + vX_[2000] * vX_[112] + vX_[1965] * vX_[608] + vX_[1700] * vX_[530] + vX_[1845] * vX_[610] + vX_[1878] * vX_[121] + vX_[1773] * vX_[535] + vX_[1963] * vX_[537] + vX_[2005] * vX_[585] + vX_[1838] * vX_[481] + vX_[1984] * vX_[532] + vX_[177] * x_in[22] + vX_[2449] * x_in[19] + (vX_[1110] * vX_[859] + vX_[1862] * vX_[101] + vX_[177] * x_in[20]) * -0.3735 - (vX_[1791] * vX_[883] + vX_[3564] * x_in[23]) + (vX_[1680] * vX_[883] + vX_[3564] * x_in[19]) * -0.3735 + (vX_[1796] * vX_[883] + vX_[2081] * vX_[479] + vX_[736] * vX_[531] + vX_[1801] * vX_[114] + vX_[2489] * vX_[116] + vX_[1839] * vX_[87] + vX_[2344] * vX_[96] + vX_[1974] * vX_[99] + vX_[2092] * vX_[115] + vX_[3099] * vX_[104] + vX_[2004] * vX_[477] + vX_[736] * vX_[528] + vX_[1757] * vX_[52] + vX_[1417] * vX_[484] + vX_[3564] * x_in[18]) * 0.207 - (vX_[1110] * vX_[853] + vX_[1514] * vX_[660] + vX_[1972] * vX_[650] + vX_[1830] * vX_[87] + vX_[2386] * vX_[627] + vX_[1923] * vX_[611] + vX_[1999] * vX_[122] + vX_[1966] * vX_[633] + vX_[2767] * vX_[607] + vX_[1695] * vX_[609] + vX_[1920] * vX_[111] + vX_[2519] * vX_[534] + vX_[1982] * vX_[584] + vX_[2971] * vX_[532] + vX_[2624] * vX_[485] + vX_[1862] * vX_[102] + vX_[1454] * x_in[20])) * vX_[927] + (vX_[1791] * vX_[859] + vX_[1840] * vX_[883] + vX_[1110] * vX_[848] + vX_[1680] * vX_[853] + vX_[1514] * vX_[663] + vX_[2755] * vX_[659] + vX_[1964] * vX_[660] + vX_[1972] * vX_[104] + vX_[1971] * vX_[650] + vX_[1830] * vX_[594] + vX_[3639] * vX_[87] + vX_[1841] * vX_[627] + vX_[1967] * vX_[633] + vX_[1923] * vX_[608] + vX_[1999] * vX_[112] + vX_[2000] * vX_[122] + vX_[1966] * vX_[634] + vX_[1965] * vX_[611] + vX_[2767] * vX_[530] + vX_[1695] * vX_[610] + vX_[1700] * vX_[607] + vX_[1845] * vX_[609] + vX_[1920] * vX_[121] + vX_[1878] * vX_[111] + vX_[2519] * vX_[537] + vX_[1773] * vX_[533] + vX_[1963] * vX_[534] + vX_[1982] * vX_[585] + vX_[2002] * vX_[584] + vX_[2971] * vX_[481] + vX_[3086] * vX_[532] + vX_[1984] * vX_[485] + vX_[1862] * vX_[100] + (vX_[1857] * vX_[529] + vX_[2536] * vX_[61] + vX_[742] * vX_[116] + vX_[1992] * vX_[91] + vX_[373] * vX_[105] + vX_[1271] * vX_[90] + vX_[662] * vX_[99] + vX_[1722] * vX_[87] + vX_[3094] * vX_[104] + vX_[2001] * vX_[115] + vX_[1857] * vX_[525] + vX_[3065] * vX_[476] + vX_[742] * vX_[120] + vX_[373] * vX_[473]) * 0.207 + vX_[177] * x_in[23] + vX_[3564] * x_in[22] + vX_[2449] * x_in[20] + vX_[1454] * x_in[19] + (vX_[1680] * vX_[859] + vX_[1862] * vX_[88] + vX_[177] * x_in[19]) * 0.3735 + (vX_[1796] * vX_[859] + vX_[177] * x_in[18]) * -0.207 + (vX_[1110] * vX_[883] + vX_[3564] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[1514] = vX_[2117] - vX_[2036];
+ vX_[2112] = vX_[1832] + vX_[2112];
+ vX_[2119] = vX_[1865] + vX_[2119];
+ vX_[1865] = 0 - vX_[2119];
+ vX_[1832] = vX_[1514] * vX_[50];
+ vX_[1992] = vX_[1514] * vX_[88];
+ vX_[2115] = vX_[1980] + vX_[2115];
+ vX_[2148] = vX_[2142] + vX_[2148];
+ vX_[2113] = vX_[1996] + vX_[2113];
+ vX_[2071] = vX_[1844] + vX_[2071];
+ vX_[1844] = vX_[2071] * vX_[88] + vX_[2113] * vX_[50];
+ vX_[1996] = vX_[2071] * vX_[101] + vX_[2113] * vX_[88];
+ vX_[2147] = vX_[2132] + vX_[2147];
+ vX_[2006] = 0 - (vX_[1797] + vX_[2006]) + vX_[2147];
+ vX_[1797] = vX_[2140] - vX_[1953];
+ vX_[2111] = vX_[1989] + vX_[2111];
+ vX_[2150] = vX_[2153] + vX_[2150];
+ vX_[2153] = 0 - vX_[2150];
+ vX_[1989] = vX_[1797] * vX_[50];
+ vX_[2132] = vX_[1797] * vX_[88];
+ vX_[2142] = vX_[1979] + vX_[1919] * 0.207;
+ vX_[1980] = vX_[1943] * vX_[822] + vX_[1991] * vX_[88] + vX_[1919] * vX_[820] + vX_[1895] * vX_[821] + vX_[1948] * vX_[5];
+ vX_[1801] = vX_[1919] * vX_[88] + vX_[1895] * vX_[50];
+ vX_[1862] = vX_[2142] * vX_[833] + vX_[1980] * vX_[64] + vX_[1801] * vX_[834];
+ vX_[2536] = vX_[2142] * vX_[819] + vX_[1980] * vX_[9] + vX_[1801] * vX_[71];
+ vX_[2767] = vX_[1862] * 1 / vX_[41];
+ vX_[2081] = vX_[2536] * 1 / vX_[41];
+ vX_[2002] = vX_[1801] * 1 / vX_[41];
+ vX_[1982] = vX_[2142] * 1 / vX_[0];
+ vX_[1695] = vX_[1943] * vX_[88] + vX_[1991] * vX_[50] + vX_[1919] * vX_[102] + vX_[1895] * vX_[100] + vX_[1948] * vX_[811];
+ vX_[1966] = vX_[1695] * 1 / vX_[0];
+ vX_[2489] = vX_[1980] * 1 / vX_[0];
+ vX_[1920] = vX_[1948] * 1 / vX_[0];
+ vX_[3086] = vX_[1801] * 1 / vX_[0];
+ vX_[2624] = vX_[1919] * vX_[101] + vX_[1895] * vX_[88];
+ vX_[2971] = vX_[2624] * 1 / vX_[0];
+ vX_[2519] = vX_[1948] - (vX_[1982] * vX_[97] + vX_[1966] * vX_[27] + vX_[2489] * vX_[17] + vX_[1920] * vX_[0] + vX_[3086] * vX_[110] + vX_[2971] * vX_[119]);
+ vX_[1984] = vX_[2519] * vX_[4] + vX_[2624] * vX_[65];
+ vX_[1838] = vX_[1984] * 1 / vX_[41];
+ vX_[2005] = vX_[2519] * vX_[65] + vX_[2624] * vX_[9];
+ vX_[1963] = vX_[2005] * 1 / vX_[41];
+ vX_[1773] = vX_[1801] - (vX_[2767] * vX_[26] + vX_[2081] * vX_[44] + vX_[2002] * vX_[41] + vX_[1838] * vX_[32] + vX_[1963] * vX_[69]);
+ vX_[1878] = vX_[1862] * vX_[62] + vX_[2536] * vX_[76] + vX_[1773] * vX_[77];
+ vX_[1999] = vX_[1862] * vX_[76] + vX_[2536] * vX_[843] + vX_[1773] * vX_[844];
+ vX_[1845] = vX_[1773] - (vX_[1999] * 38.1956380581338 * 0.1104774 + vX_[1878] * 38.1956380581338 * 0.0004405 + vX_[1773] * 38.1956380581338 * 0.026181);
+ vX_[1700] = vX_[1984] * vX_[76] + vX_[2005] * vX_[79];
+ vX_[1923] = vX_[1878] * 0.881 + (0 - vX_[1845]) * -0.0004405 + vX_[1700] * 8.81e-05;
+ vX_[1965] = vX_[1999] * -0.881;
+ vX_[2000] = vX_[1845] * 0.1104774;
+ vX_[1967] = vX_[1984] * vX_[62] + vX_[2005] * vX_[76];
+ vX_[1964] = vX_[1967] * 8.81e-05;
+ vX_[2755] = vX_[1965] - vX_[2000] + vX_[1964];
+ vX_[461] = vX_[1923] * vX_[841] + vX_[2755] * vX_[838];
+ vX_[2969] = vX_[2536] * 3.146 + (0 - vX_[1773]) * 0.0825825;
+ vX_[1159] = vX_[1862] * -3.146;
+ vX_[2460] = vX_[1773] * 0.47422804;
+ vX_[3476] = vX_[1159] - vX_[2460];
+ vX_[3264] = vX_[461] + vX_[2969] * vX_[829] + vX_[3476] * vX_[826];
+ vX_[362] = vX_[1980] * 3.44 + vX_[1801] * 0.5824264;
+ vX_[3626] = 0 - vX_[362];
+ vX_[1400] = vX_[2142] * 3.44 + (0 - vX_[1801]) * 0.1466472;
+ vX_[3337] = vX_[2142] * vX_[104] + vX_[1695] * vX_[87] + vX_[1980] * vX_[96] + vX_[1801] * vX_[477] + vX_[2624] * vX_[528];
+ vX_[687] = vX_[3264] + vX_[3626] * vX_[810] + vX_[1400] * vX_[816] + vX_[3337] * x_in[33];
+ vX_[512] = 0 - vX_[1923];
+ vX_[1964] = 0 - vX_[1965] + vX_[2000] - vX_[1964];
+ vX_[2000] = vX_[1695] + vX_[2519] * 0.08;
+ vX_[1965] = vX_[2000] + vX_[1984] * -0.35;
+ vX_[1009] = vX_[1965] * -0.0004405 + vX_[1999] * 8.81e-05 + vX_[1967] * -0.000227999999999999;
+ vX_[1552] = vX_[1965] * 0.1104774 + vX_[1878] * 8.81e-05 + (0 - vX_[1700]) * 0.025713;
+ vX_[1421] = (0 - vX_[1999]) * -0.0004405;
+ vX_[311] = (0 - vX_[1878]) * 0.1104774;
+ vX_[1816] = vX_[1421] + vX_[311];
+ vX_[1816] = vX_[512] * vX_[845] + vX_[1964] * vX_[836] + vX_[1009] * vX_[841] + vX_[1552] * vX_[838] + vX_[1816] * vX_[832] + vX_[1816] * vX_[832];
+ vX_[1683] = vX_[1965] * 0.881 + (0 - vX_[1700]) * 0.1104774 + vX_[1967] * -0.0004405;
+ vX_[3779] = vX_[1999] * -0.00185880198235362 + vX_[1878] * 0.880992588508842 + vX_[1700] * 8.81e-05;
+ vX_[512] = vX_[512] * vX_[832] + vX_[1683] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1662] = 0 - vX_[1683];
+ vX_[1667] = vX_[1999] * 0.414812462825713 + vX_[1878] * -0.00185880198235362 + vX_[1967] * -8.81e-05;
+ vX_[1964] = vX_[1964] * vX_[832] + vX_[1662] * vX_[841] - vX_[1667] * x_in[35];
+ vX_[1691] = 0 - vX_[2969];
+ vX_[2460] = 0 - vX_[1159] + vX_[2460];
+ vX_[1159] = vX_[2000] * 0.0825825 + (0 - vX_[1773]) * -0.000102 + vX_[1984] * -0.007418 + vX_[2005] * 0.002735;
+ vX_[1290] = vX_[2000] * 0.47422804 + vX_[1773] * 2.1e-05 + (0 - vX_[1984]) * 0.084376 + (0 - vX_[2005]) * -0.007418;
+ vX_[1531] = (0 - vX_[1862]) * 0.0825825;
+ vX_[3518] = (0 - vX_[2536]) * 0.47422804;
+ vX_[1750] = vX_[1984] * -0.000102;
+ vX_[1848] = (0 - vX_[2005]) * 2.1e-05;
+ vX_[2615] = vX_[1531] + vX_[3518] + vX_[1750] + vX_[1848];
+ vX_[2615] = vX_[1816] + vX_[512] * vX_[844] + vX_[1964] * vX_[77] + vX_[1691] * vX_[835] + vX_[2460] * vX_[824] + vX_[1159] * vX_[829] + vX_[1290] * vX_[826] + vX_[2615] * vX_[818] + vX_[2615] * vX_[818];
+ vX_[2376] = vX_[2000] * 3.146 + (0 - vX_[1984]) * 0.47422804 + vX_[2005] * 0.0825825;
+ vX_[3333] = vX_[1862] * vX_[73] + vX_[2536] * vX_[75] + vX_[1984] * vX_[34] + vX_[2005] * vX_[13];
+ vX_[1691] = vX_[512] * vX_[76] + vX_[1964] * vX_[62] + vX_[1691] * vX_[818] + vX_[2376] * vX_[826] + vX_[3333] * x_in[34];
+ vX_[1834] = 0 - vX_[2376];
+ vX_[986] = vX_[1862] * vX_[80] + vX_[2536] * vX_[73] + vX_[1984] * vX_[21] + vX_[2005] * vX_[24];
+ vX_[2460] = vX_[512] * vX_[843] + vX_[1964] * vX_[76] + vX_[2460] * vX_[818] + vX_[1834] * vX_[829] - vX_[986] * x_in[34];
+ vX_[1323] = 0 - vX_[1400];
+ vX_[1461] = vX_[1695] * 0.5824264 + (0 - vX_[2519]) * -0.022734 + vX_[1801] * -3.6e-05 + vX_[2624] * -0.133138;
+ vX_[2370] = vX_[1695] * 0.1466472 + vX_[2519] * 0.009466 + (0 - vX_[1801]) * -5.1e-05 + vX_[2624] * -0.022734;
+ vX_[784] = (0 - vX_[2142]) * 0.5824264;
+ vX_[1329] = (0 - vX_[1980]) * 0.1466472;
+ vX_[1278] = (0 - vX_[2519]) * -3.6e-05;
+ vX_[2310] = (0 - vX_[2624]) * -5.1e-05;
+ vX_[2054] = vX_[784] + vX_[1329] + vX_[1278] - vX_[2310];
+ vX_[2371] = vX_[2142] * vX_[120] + vX_[1695] * vX_[476] + vX_[1980] * vX_[528] + vX_[1801] * vX_[527] + vX_[2624] * vX_[53];
+ vX_[2054] = vX_[2615] + vX_[1691] * vX_[834] + vX_[2460] * vX_[71] + vX_[362] * vX_[809] + vX_[1323] * vX_[823] + vX_[1461] * vX_[810] + vX_[2370] * vX_[816] + vX_[2054] * vX_[808] + vX_[2054] * vX_[808] + vX_[2371] * x_in[33];
+ vX_[2274] = vX_[2122] - vX_[1953];
+ vX_[1452] = vX_[2274] * vX_[88] + vX_[2111] * vX_[50];
+ vX_[3458] = vX_[2274] * vX_[101] + vX_[2111] * vX_[88];
+ vX_[2757] = vX_[3458] + vX_[1989];
+ vX_[2613] = vX_[1452] * vX_[101] + vX_[2757] * vX_[88] + vX_[2132] * vX_[50];
+ vX_[1736] = 0 - vX_[2613];
+ vX_[2019] = vX_[1953] + vX_[1452] * vX_[88] + vX_[1989] * vX_[50];
+ vX_[1634] = 0 - vX_[2019];
+ vX_[1930] = vX_[1953] + vX_[3458] * vX_[101] + vX_[2132] * vX_[88];
+ vX_[2068] = vX_[1990] + vX_[2068] - vX_[2148];
+ vX_[1990] = vX_[2147] * vX_[88] + vX_[2148] * vX_[50];
+ vX_[1973] = 0 - (vX_[2068] * vX_[101] + vX_[2006] * vX_[88]) + vX_[1990];
+ vX_[1689] = vX_[1973] + vX_[2019] * vX_[89];
+ vX_[1795] = 0 - vX_[1689];
+ vX_[2157] = vX_[2147] * vX_[101] + vX_[2148] * vX_[88];
+ vX_[789] = vX_[2068] * vX_[88] + vX_[2006] * vX_[50] + vX_[2157];
+ vX_[2981] = 0 - vX_[1930];
+ vX_[1504] = vX_[789] + vX_[2613] * vX_[89] + vX_[2981] * vX_[5];
+ vX_[2114] = vX_[1861] + vX_[2114];
+ vX_[1861] = vX_[2115] * vX_[88] + vX_[2114] * vX_[101];
+ vX_[1033] = vX_[1861] * vX_[88] + vX_[1996] * vX_[50];
+ vX_[2130] = vX_[2020] + vX_[2130];
+ vX_[2150] = 0 - vX_[2150];
+ vX_[2020] = vX_[2130] * vX_[101] + vX_[2150] * vX_[88];
+ vX_[767] = 0 - vX_[2020];
+ vX_[1598] = vX_[1033] + vX_[767] * vX_[5] + vX_[1634] * vX_[103];
+ vX_[406] = 0 - vX_[1598];
+ vX_[3472] = vX_[2115] * vX_[50] + vX_[2114] * vX_[88];
+ vX_[769] = vX_[3472] * vX_[101] + vX_[1844] * vX_[88];
+ vX_[2062] = vX_[2130] * vX_[88] + vX_[2153] * vX_[50];
+ vX_[1249] = 0 - vX_[2062];
+ vX_[2180] = vX_[769] + vX_[1249] * vX_[89] + vX_[1930] * vX_[103];
+ vX_[2758] = vX_[3472] * vX_[88] + vX_[1844] * vX_[50];
+ vX_[2323] = vX_[2758] + vX_[2020] * vX_[89];
+ vX_[1004] = vX_[1861] * vX_[101] + vX_[1996] * vX_[88];
+ vX_[3088] = vX_[1004] + vX_[2062] * vX_[5] + vX_[1736] * vX_[103];
+ vX_[2284] = 0 - vX_[2323] + vX_[3088];
+ vX_[790] = 0 - vX_[2613];
+ vX_[2131] = 0 - vX_[2019];
+ vX_[1634] = vX_[1736] * vX_[531] + vX_[1634] * vX_[479] + vX_[1930] * vX_[61] + vX_[1795] * vX_[104] + vX_[1504] * vX_[115] + vX_[406] * vX_[96] + vX_[2180] * vX_[90] + vX_[2284] * vX_[87] + vX_[2613] * vX_[525] + vX_[790] * vX_[528] + vX_[2131] * vX_[478] + vX_[1930] * vX_[482];
+ vX_[1736] = vX_[1695] * -3.44;
+ vX_[624] = vX_[2519] * 0.1466472;
+ vX_[2303] = vX_[2624] * 0.5824264;
+ vX_[456] = 0 - vX_[1736] + vX_[624] - vX_[2303];
+ vX_[455] = vX_[2142] * vX_[115] + vX_[1695] * vX_[90] + vX_[1980] * vX_[87] + vX_[1801] * vX_[525] + vX_[2624] * vX_[476];
+ vX_[1323] = vX_[1691] * vX_[64] + vX_[2460] * vX_[9] + vX_[456] * vX_[810] + vX_[1323] * vX_[808] - vX_[455] * x_in[33];
+ vX_[1953] = vX_[2122] + vX_[2140] + vX_[1953] - vX_[2019] - vX_[1930];
+ vX_[2140] = 0 - vX_[1953];
+ vX_[1990] = vX_[1990] + vX_[2140] * vX_[89];
+ vX_[2157] = vX_[2157] + vX_[1953] * vX_[5];
+ vX_[2122] = 0 - vX_[1504];
+ vX_[1192] = 0 - vX_[2180];
+ vX_[2149] = vX_[2152] + vX_[2149] + vX_[2114] + vX_[2113] - vX_[2758] - vX_[1004];
+ vX_[3088] = vX_[2149] - vX_[3088];
+ vX_[2152] = 0 - vX_[2020];
+ vX_[1102] = 0 - vX_[2613];
+ vX_[3235] = 0 - vX_[1930];
+ vX_[237] = vX_[2110] - vX_[2036];
+ vX_[2120] = vX_[1981] + vX_[2120];
+ vX_[1981] = vX_[237] * vX_[88] + vX_[2112] * vX_[50];
+ vX_[1770] = vX_[237] * vX_[101] + vX_[2112] * vX_[88];
+ vX_[1845] = vX_[1999] * 0.1104774 + vX_[1878] * -0.0004405 + vX_[1845] * 0.025941;
+ vX_[1210] = (0 - vX_[1965]) * 8.81e-05;
+ vX_[311] = vX_[1210] + vX_[311];
+ vX_[1967] = vX_[1965] * -0.0004405 + vX_[1999] * -8.81e-05 + vX_[1967] * 0.000468;
+ vX_[311] = vX_[1923] * vX_[839] + vX_[1662] * vX_[836] + vX_[1009] * vX_[832] + vX_[1845] * vX_[838] + vX_[311] * vX_[841] + vX_[311] * vX_[841] + vX_[1967] * x_in[35];
+ vX_[1210] = vX_[1210] + vX_[1421];
+ vX_[1965] = vX_[1965] * -0.1104774 + vX_[1878] * 8.81e-05 + vX_[1700] * 0.026409;
+ jac[1286] = vX_[1667] * vX_[850] + vX_[3779] * vX_[845] + vX_[1965] * vX_[858] + vX_[1967] * vX_[841] + vX_[1816];
+ vX_[1965] = vX_[2755] * vX_[839] + vX_[1683] * vX_[845] + vX_[1552] * vX_[832] + vX_[1845] * vX_[841] + vX_[1210] * vX_[838] + vX_[1210] * vX_[838] - vX_[1965] * x_in[35];
+ vX_[1210] = vX_[1862] * 0.47422804 + vX_[2536] * 0.0825825 + vX_[1773] * 0.081641 + (0 - vX_[1984]) * 2.1e-05 + vX_[2005] * -0.000102;
+ vX_[1845] = (0 - vX_[1773]) * -0.007418;
+ vX_[1848] = vX_[3518] + vX_[1845] - vX_[1848];
+ vX_[3518] = vX_[2000] * vX_[43] + vX_[1862] * vX_[24] + vX_[2536] * vX_[13] + vX_[1984] * vX_[29] + vX_[2005] * vX_[40];
+ vX_[1848] = vX_[461] * -0.35 + vX_[311] * vX_[76] + vX_[1965] * vX_[62] + vX_[2969] * vX_[827] + vX_[1834] * vX_[824] + vX_[1159] * vX_[818] + vX_[1210] * vX_[826] + vX_[1848] * vX_[829] + vX_[1848] * vX_[829] + vX_[3518] * x_in[34];
+ vX_[1845] = vX_[1531] - vX_[1845] - vX_[1750];
+ vX_[1750] = vX_[2000] * vX_[30] + vX_[1862] * vX_[21] + vX_[2536] * vX_[34] + vX_[1984] * vX_[7] + vX_[2005] * vX_[29];
+ jac[1250] = vX_[986] * vX_[868] + vX_[3333] * vX_[835] + vX_[1750] * vX_[865] + vX_[3518] * vX_[829] + vX_[2615];
+ vX_[1750] = vX_[311] * vX_[79] + vX_[1965] * vX_[76] + vX_[3476] * vX_[827] + vX_[2376] * vX_[835] + vX_[1290] * vX_[818] + vX_[1210] * vX_[829] + vX_[1845] * vX_[826] + vX_[1845] * vX_[826] - vX_[1750] * x_in[34];
+ vX_[2303] = vX_[1736] - vX_[624] + vX_[2303];
+ vX_[624] = vX_[2142] * 0.1466472 + vX_[1980] * 0.5824264 + vX_[2519] * -5.1e-05 + (0 - vX_[1801]) * -0.123672 + (0 - vX_[2624]) * -3.6e-05;
+ vX_[1736] = vX_[1801] * -0.022734;
+ vX_[1278] = vX_[784] - vX_[1278] - vX_[1736];
+ vX_[784] = vX_[2142] * vX_[52] + vX_[1695] * vX_[525] + vX_[1980] * vX_[477] + vX_[1801] * vX_[475] + vX_[2624] * vX_[527];
+ vX_[1278] = vX_[1848] * vX_[65] + vX_[1750] * vX_[9] + vX_[2303] * vX_[809] + vX_[1400] * vX_[812] + vX_[624] * vX_[810] + vX_[2370] * vX_[808] + vX_[1278] * vX_[816] + vX_[1278] * vX_[816] - vX_[784] * x_in[33];
+ vX_[2119] = 0 - vX_[2119];
+ vX_[2370] = vX_[1770] + vX_[1832];
+ vX_[1400] = 0 - vX_[1990];
+ vX_[1845] = 0 - vX_[2157];
+ vX_[2149] = 0 - vX_[2149] + vX_[2323];
+ vX_[2323] = 0 - vX_[2062];
+ jac[566] = 0 - (vX_[1991] * vX_[859] + vX_[1895] * vX_[848] + vX_[1514] * vX_[661] + vX_[2112] * vX_[663] + vX_[1865] * vX_[104] + vX_[1832] * vX_[594] + vX_[1992] * vX_[87] + vX_[2115] * vX_[634] + vX_[2148] * vX_[112] + vX_[2113] * vX_[608] + vX_[1844] * vX_[530] + vX_[1996] * vX_[610] + vX_[2006] * vX_[121] + vX_[1797] * vX_[535] + vX_[2111] * vX_[537] + vX_[2153] * vX_[585] + vX_[1989] * vX_[481] + vX_[2132] * vX_[532] + vX_[687] * x_in[22] + vX_[2054] * x_in[19] + (vX_[1919] * vX_[859] + vX_[1634] * vX_[101] + vX_[687] * x_in[20]) * -0.3735 - (vX_[1943] * vX_[883] + vX_[1323] * x_in[23]) + (vX_[1895] * vX_[883] + vX_[1323] * x_in[19]) * -0.3735 + (vX_[1948] * vX_[883] + vX_[767] * vX_[479] + vX_[2062] * vX_[531] + vX_[1953] * vX_[114] + vX_[2981] * vX_[116] + vX_[1990] * vX_[87] + vX_[2157] * vX_[96] + vX_[2122] * vX_[99] + vX_[1192] * vX_[115] + vX_[3088] * vX_[104] + vX_[2152] * vX_[477] + vX_[2062] * vX_[528] + vX_[1102] * vX_[52] + vX_[3235] * vX_[484] + vX_[1323] * x_in[18]) * 0.207 - (vX_[1919] * vX_[853] + vX_[237] * vX_[660] + vX_[2120] * vX_[650] + vX_[1981] * vX_[87] + vX_[1770] * vX_[627] + vX_[2071] * vX_[611] + vX_[2147] * vX_[122] + vX_[2114] * vX_[633] + vX_[3472] * vX_[607] + vX_[1861] * vX_[609] + vX_[2068] * vX_[111] + vX_[2274] * vX_[534] + vX_[2130] * vX_[584] + vX_[1452] * vX_[532] + vX_[3458] * vX_[485] + vX_[1634] * vX_[102] + vX_[1278] * x_in[20])) * vX_[927] + (vX_[1943] * vX_[859] + vX_[1991] * vX_[883] + vX_[1919] * vX_[848] + vX_[1895] * vX_[853] + vX_[237] * vX_[663] + vX_[1514] * vX_[659] + vX_[2112] * vX_[660] + vX_[2120] * vX_[104] + vX_[2119] * vX_[650] + vX_[1981] * vX_[594] + vX_[2370] * vX_[87] + vX_[1992] * vX_[627] + vX_[2115] * vX_[633] + vX_[2071] * vX_[608] + vX_[2147] * vX_[112] + vX_[2148] * vX_[122] + vX_[2114] * vX_[634] + vX_[2113] * vX_[611] + vX_[3472] * vX_[530] + vX_[1861] * vX_[610] + vX_[1844] * vX_[607] + vX_[1996] * vX_[609] + vX_[2068] * vX_[121] + vX_[2006] * vX_[111] + vX_[2274] * vX_[537] + vX_[1797] * vX_[533] + vX_[2111] * vX_[534] + vX_[2130] * vX_[585] + vX_[2150] * vX_[584] + vX_[1452] * vX_[481] + vX_[2757] * vX_[532] + vX_[2132] * vX_[485] + vX_[1634] * vX_[100] + (vX_[2020] * vX_[529] + vX_[1249] * vX_[61] + vX_[2613] * vX_[116] + vX_[2140] * vX_[91] + vX_[2019] * vX_[105] + vX_[1400] * vX_[90] + vX_[1689] * vX_[99] + vX_[1845] * vX_[87] + vX_[1598] * vX_[104] + vX_[2149] * vX_[115] + vX_[2020] * vX_[525] + vX_[2323] * vX_[476] + vX_[2613] * vX_[120] + vX_[2019] * vX_[473]) * 0.207 + vX_[687] * x_in[23] + vX_[1323] * x_in[22] + vX_[2054] * x_in[20] + vX_[1278] * x_in[19] + (vX_[1895] * vX_[859] + vX_[1634] * vX_[88] + vX_[687] * x_in[19]) * 0.3735 + (vX_[1948] * vX_[859] + vX_[687] * x_in[18]) * -0.207 + (vX_[1919] * vX_[883] + vX_[1323] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[237] = vX_[2255] - vX_[1949];
+ vX_[2250] = vX_[2137] + vX_[2250];
+ vX_[2257] = vX_[2127] + vX_[2257];
+ vX_[2127] = 0 - vX_[2257];
+ vX_[2137] = vX_[237] * vX_[50];
+ vX_[2140] = vX_[237] * vX_[88];
+ vX_[2253] = vX_[2161] + vX_[2253];
+ vX_[2286] = vX_[2280] + vX_[2286];
+ vX_[2251] = vX_[1955] + vX_[2251];
+ vX_[1995] = vX_[2144] + vX_[1995];
+ vX_[2144] = vX_[1995] * vX_[88] + vX_[2251] * vX_[50];
+ vX_[1955] = vX_[1995] * vX_[101] + vX_[2251] * vX_[88];
+ vX_[2285] = vX_[2270] + vX_[2285];
+ vX_[2138] = 0 - (vX_[2158] + vX_[2138]) + vX_[2285];
+ vX_[2158] = vX_[2278] - vX_[2193];
+ vX_[2249] = vX_[2163] + vX_[2249];
+ vX_[2288] = vX_[2291] + vX_[2288];
+ vX_[2291] = 0 - vX_[2288];
+ vX_[2163] = vX_[2158] * vX_[50];
+ vX_[2270] = vX_[2158] * vX_[88];
+ vX_[2280] = vX_[2164] + vX_[2162] * 0.207;
+ vX_[2161] = vX_[2067] * vX_[822] + vX_[2045] * vX_[88] + vX_[2162] * vX_[820] + vX_[2146] * vX_[821] + vX_[2187] * vX_[5];
+ vX_[1953] = vX_[2162] * vX_[88] + vX_[2146] * vX_[50];
+ vX_[1634] = vX_[2280] * vX_[833] + vX_[2161] * vX_[64] + vX_[1953] * vX_[834];
+ vX_[1249] = vX_[2280] * vX_[819] + vX_[2161] * vX_[9] + vX_[1953] * vX_[71];
+ vX_[3472] = vX_[1634] * 1 / vX_[41];
+ vX_[767] = vX_[1249] * 1 / vX_[41];
+ vX_[2150] = vX_[1953] * 1 / vX_[41];
+ vX_[2130] = vX_[2280] * 1 / vX_[0];
+ vX_[1861] = vX_[2067] * vX_[88] + vX_[2045] * vX_[50] + vX_[2162] * vX_[102] + vX_[2146] * vX_[100] + vX_[2187] * vX_[811];
+ vX_[2114] = vX_[1861] * 1 / vX_[0];
+ vX_[2981] = vX_[2161] * 1 / vX_[0];
+ vX_[2068] = vX_[2187] * 1 / vX_[0];
+ vX_[2757] = vX_[1953] * 1 / vX_[0];
+ vX_[3458] = vX_[2162] * vX_[101] + vX_[2146] * vX_[88];
+ vX_[1452] = vX_[3458] * 1 / vX_[0];
+ vX_[2274] = vX_[2187] - (vX_[2130] * vX_[97] + vX_[2114] * vX_[27] + vX_[2981] * vX_[17] + vX_[2068] * vX_[0] + vX_[2757] * vX_[110] + vX_[1452] * vX_[119]);
+ vX_[2132] = vX_[2274] * vX_[4] + vX_[3458] * vX_[65];
+ vX_[1989] = vX_[2132] * 1 / vX_[41];
+ vX_[2153] = vX_[2274] * vX_[65] + vX_[3458] * vX_[9];
+ vX_[2111] = vX_[2153] * 1 / vX_[41];
+ vX_[1797] = vX_[1953] - (vX_[3472] * vX_[26] + vX_[767] * vX_[44] + vX_[2150] * vX_[41] + vX_[1989] * vX_[32] + vX_[2111] * vX_[69]);
+ vX_[2006] = vX_[1634] * vX_[62] + vX_[1249] * vX_[76] + vX_[1797] * vX_[77];
+ vX_[2147] = vX_[1634] * vX_[76] + vX_[1249] * vX_[843] + vX_[1797] * vX_[844];
+ vX_[1996] = vX_[1797] - (vX_[2147] * 38.1956380581338 * 0.1104774 + vX_[2006] * 38.1956380581338 * 0.0004405 + vX_[1797] * 38.1956380581338 * 0.026181);
+ vX_[1844] = vX_[2132] * vX_[76] + vX_[2153] * vX_[79];
+ vX_[2071] = vX_[2006] * 0.881 + (0 - vX_[1996]) * -0.0004405 + vX_[1844] * 8.81e-05;
+ vX_[2113] = vX_[2147] * -0.881;
+ vX_[2148] = vX_[1996] * 0.1104774;
+ vX_[2115] = vX_[2132] * vX_[62] + vX_[2153] * vX_[76];
+ vX_[2112] = vX_[2115] * 8.81e-05;
+ vX_[1514] = vX_[2113] - vX_[2148] + vX_[2112];
+ vX_[1210] = vX_[2071] * vX_[841] + vX_[1514] * vX_[838];
+ vX_[2376] = vX_[1249] * 3.146 + (0 - vX_[1797]) * 0.0825825;
+ vX_[1290] = vX_[1634] * -3.146;
+ vX_[3476] = vX_[1797] * 0.47422804;
+ vX_[3518] = vX_[1290] - vX_[3476];
+ vX_[986] = vX_[1210] + vX_[2376] * vX_[829] + vX_[3518] * vX_[826];
+ vX_[3333] = vX_[2161] * 3.44 + vX_[1953] * 0.5824264;
+ vX_[2615] = 0 - vX_[3333];
+ vX_[1531] = vX_[2280] * 3.44 + (0 - vX_[1953]) * 0.1466472;
+ vX_[1834] = vX_[2280] * vX_[104] + vX_[1861] * vX_[87] + vX_[2161] * vX_[96] + vX_[1953] * vX_[477] + vX_[3458] * vX_[528];
+ vX_[1159] = vX_[986] + vX_[2615] * vX_[810] + vX_[1531] * vX_[816] + vX_[1834] * x_in[33];
+ vX_[2969] = 0 - vX_[2071];
+ vX_[2112] = 0 - vX_[2113] + vX_[2148] - vX_[2112];
+ vX_[2148] = vX_[1861] + vX_[2274] * 0.08;
+ vX_[2113] = vX_[2148] + vX_[2132] * -0.35;
+ vX_[461] = vX_[2113] * -0.0004405 + vX_[2147] * 8.81e-05 + vX_[2115] * -0.000227999999999999;
+ vX_[1683] = vX_[2113] * 0.1104774 + vX_[2006] * 8.81e-05 + (0 - vX_[1844]) * 0.025713;
+ vX_[1552] = (0 - vX_[2147]) * -0.0004405;
+ vX_[2755] = (0 - vX_[2006]) * 0.1104774;
+ vX_[1967] = vX_[1552] + vX_[2755];
+ vX_[1967] = vX_[2969] * vX_[845] + vX_[2112] * vX_[836] + vX_[461] * vX_[841] + vX_[1683] * vX_[838] + vX_[1967] * vX_[832] + vX_[1967] * vX_[832];
+ vX_[1667] = vX_[2113] * 0.881 + (0 - vX_[1844]) * 0.1104774 + vX_[2115] * -0.0004405;
+ vX_[3779] = vX_[2147] * -0.00185880198235362 + vX_[2006] * 0.880992588508842 + vX_[1844] * 8.81e-05;
+ vX_[2969] = vX_[2969] * vX_[832] + vX_[1667] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1816] = 0 - vX_[1667];
+ vX_[1700] = vX_[2147] * 0.414812462825713 + vX_[2006] * -0.00185880198235362 + vX_[2115] * -8.81e-05;
+ vX_[2112] = vX_[2112] * vX_[832] + vX_[1816] * vX_[841] - vX_[1700] * x_in[35];
+ vX_[1878] = 0 - vX_[2376];
+ vX_[3476] = 0 - vX_[1290] + vX_[3476];
+ vX_[1290] = vX_[2148] * 0.0825825 + (0 - vX_[1797]) * -0.000102 + vX_[2132] * -0.007418 + vX_[2153] * 0.002735;
+ vX_[1421] = vX_[2148] * 0.47422804 + vX_[1797] * 2.1e-05 + (0 - vX_[2132]) * 0.084376 + (0 - vX_[2153]) * -0.007418;
+ vX_[1662] = (0 - vX_[1634]) * 0.0825825;
+ vX_[1009] = (0 - vX_[1249]) * 0.47422804;
+ vX_[1923] = vX_[2132] * -0.000102;
+ vX_[1999] = (0 - vX_[2153]) * 2.1e-05;
+ vX_[1734] = vX_[1662] + vX_[1009] + vX_[1923] + vX_[1999];
+ vX_[1734] = vX_[1967] + vX_[2969] * vX_[844] + vX_[2112] * vX_[77] + vX_[1878] * vX_[835] + vX_[3476] * vX_[824] + vX_[1290] * vX_[829] + vX_[1421] * vX_[826] + vX_[1734] * vX_[818] + vX_[1734] * vX_[818];
+ vX_[3447] = vX_[2148] * 3.146 + (0 - vX_[2132]) * 0.47422804 + vX_[2153] * 0.0825825;
+ vX_[1335] = vX_[1634] * vX_[73] + vX_[1249] * vX_[75] + vX_[2132] * vX_[34] + vX_[2153] * vX_[13];
+ vX_[1878] = vX_[2969] * vX_[76] + vX_[2112] * vX_[62] + vX_[1878] * vX_[818] + vX_[3447] * vX_[826] + vX_[1335] * x_in[34];
+ vX_[1111] = 0 - vX_[3447];
+ vX_[1613] = vX_[1634] * vX_[80] + vX_[1249] * vX_[73] + vX_[2132] * vX_[21] + vX_[2153] * vX_[24];
+ vX_[3476] = vX_[2969] * vX_[843] + vX_[2112] * vX_[76] + vX_[3476] * vX_[818] + vX_[1111] * vX_[829] - vX_[1613] * x_in[34];
+ vX_[1114] = 0 - vX_[1531];
+ vX_[2064] = vX_[1861] * 0.5824264 + (0 - vX_[2274]) * -0.022734 + vX_[1953] * -3.6e-05 + vX_[3458] * -0.133138;
+ vX_[2012] = vX_[1861] * 0.1466472 + vX_[2274] * 0.009466 + (0 - vX_[1953]) * -5.1e-05 + vX_[3458] * -0.022734;
+ vX_[599] = (0 - vX_[2280]) * 0.5824264;
+ vX_[2133] = (0 - vX_[2161]) * 0.1466472;
+ vX_[974] = (0 - vX_[2274]) * -3.6e-05;
+ vX_[2612] = (0 - vX_[3458]) * -5.1e-05;
+ vX_[1214] = vX_[599] + vX_[2133] + vX_[974] - vX_[2612];
+ vX_[1315] = vX_[2280] * vX_[120] + vX_[1861] * vX_[476] + vX_[2161] * vX_[528] + vX_[1953] * vX_[527] + vX_[3458] * vX_[53];
+ vX_[1214] = vX_[1734] + vX_[1878] * vX_[834] + vX_[3476] * vX_[71] + vX_[3333] * vX_[809] + vX_[1114] * vX_[823] + vX_[2064] * vX_[810] + vX_[2012] * vX_[816] + vX_[1214] * vX_[808] + vX_[1214] * vX_[808] + vX_[1315] * x_in[33];
+ vX_[2335] = vX_[2260] - vX_[2193];
+ vX_[586] = vX_[2335] * vX_[88] + vX_[2249] * vX_[50];
+ vX_[1072] = vX_[2335] * vX_[101] + vX_[2249] * vX_[88];
+ vX_[743] = vX_[1072] + vX_[2163];
+ vX_[1126] = vX_[586] * vX_[101] + vX_[743] * vX_[88] + vX_[2270] * vX_[50];
+ vX_[3272] = 0 - vX_[1126];
+ vX_[2967] = vX_[2193] + vX_[586] * vX_[88] + vX_[2163] * vX_[50];
+ vX_[2027] = 0 - vX_[2967];
+ vX_[969] = vX_[2193] + vX_[1072] * vX_[101] + vX_[2270] * vX_[88];
+ vX_[2139] = vX_[2160] + vX_[2139] - vX_[2286];
+ vX_[2160] = vX_[2285] * vX_[88] + vX_[2286] * vX_[50];
+ vX_[2155] = 0 - (vX_[2139] * vX_[101] + vX_[2138] * vX_[88]) + vX_[2160];
+ vX_[2107] = vX_[2155] + vX_[2967] * vX_[89];
+ vX_[2301] = 0 - vX_[2107];
+ vX_[2203] = vX_[2285] * vX_[101] + vX_[2286] * vX_[88];
+ vX_[2279] = vX_[2139] * vX_[88] + vX_[2138] * vX_[50] + vX_[2203];
+ vX_[2154] = 0 - vX_[969];
+ vX_[2493] = vX_[2279] + vX_[1126] * vX_[89] + vX_[2154] * vX_[5];
+ vX_[2252] = vX_[2118] + vX_[2252];
+ vX_[2118] = vX_[2253] * vX_[88] + vX_[2252] * vX_[101];
+ vX_[3353] = vX_[2118] * vX_[88] + vX_[1955] * vX_[50];
+ vX_[2268] = vX_[2168] + vX_[2268];
+ vX_[2288] = 0 - vX_[2288];
+ vX_[2168] = vX_[2268] * vX_[101] + vX_[2288] * vX_[88];
+ vX_[2549] = 0 - vX_[2168];
+ vX_[2165] = vX_[3353] + vX_[2549] * vX_[5] + vX_[2027] * vX_[103];
+ vX_[1952] = 0 - vX_[2165];
+ vX_[2397] = vX_[2253] * vX_[50] + vX_[2252] * vX_[88];
+ vX_[2201] = vX_[2397] * vX_[101] + vX_[2144] * vX_[88];
+ vX_[2909] = vX_[2268] * vX_[88] + vX_[2291] * vX_[50];
+ vX_[2254] = 0 - vX_[2909];
+ vX_[2200] = vX_[2201] + vX_[2254] * vX_[89] + vX_[969] * vX_[103];
+ vX_[3406] = vX_[2397] * vX_[88] + vX_[2144] * vX_[50];
+ vX_[2575] = vX_[3406] + vX_[2168] * vX_[89];
+ vX_[2116] = vX_[2118] * vX_[101] + vX_[1955] * vX_[88];
+ vX_[2764] = vX_[2116] + vX_[2909] * vX_[5] + vX_[3272] * vX_[103];
+ vX_[3007] = 0 - vX_[2575] + vX_[2764];
+ vX_[432] = 0 - vX_[1126];
+ vX_[466] = 0 - vX_[2967];
+ vX_[2027] = vX_[3272] * vX_[531] + vX_[2027] * vX_[479] + vX_[969] * vX_[61] + vX_[2301] * vX_[104] + vX_[2493] * vX_[115] + vX_[1952] * vX_[96] + vX_[2200] * vX_[90] + vX_[3007] * vX_[87] + vX_[1126] * vX_[525] + vX_[432] * vX_[528] + vX_[466] * vX_[478] + vX_[969] * vX_[482];
+ vX_[3272] = vX_[1861] * -3.44;
+ vX_[1055] = vX_[2274] * 0.1466472;
+ vX_[963] = vX_[3458] * 0.5824264;
+ vX_[1997] = 0 - vX_[3272] + vX_[1055] - vX_[963];
+ vX_[2518] = vX_[2280] * vX_[115] + vX_[1861] * vX_[90] + vX_[2161] * vX_[87] + vX_[1953] * vX_[525] + vX_[3458] * vX_[476];
+ vX_[1114] = vX_[1878] * vX_[64] + vX_[3476] * vX_[9] + vX_[1997] * vX_[810] + vX_[1114] * vX_[808] - vX_[2518] * x_in[33];
+ vX_[2193] = vX_[2260] + vX_[2278] + vX_[2193] - vX_[2967] - vX_[969];
+ vX_[2278] = 0 - vX_[2193];
+ vX_[2160] = vX_[2160] + vX_[2278] * vX_[89];
+ vX_[2203] = vX_[2203] + vX_[2193] * vX_[5];
+ vX_[2260] = 0 - vX_[2493];
+ vX_[2408] = 0 - vX_[2200];
+ vX_[2287] = vX_[2290] + vX_[2287] + vX_[2252] + vX_[2251] - vX_[3406] - vX_[2116];
+ vX_[2764] = vX_[2287] - vX_[2764];
+ vX_[2290] = 0 - vX_[2168];
+ vX_[2739] = 0 - vX_[1126];
+ vX_[2018] = 0 - vX_[969];
+ vX_[3195] = vX_[2248] - vX_[1949];
+ vX_[2258] = vX_[2143] + vX_[2258];
+ vX_[2143] = vX_[3195] * vX_[88] + vX_[2250] * vX_[50];
+ vX_[2914] = vX_[3195] * vX_[101] + vX_[2250] * vX_[88];
+ vX_[1996] = vX_[2147] * 0.1104774 + vX_[2006] * -0.0004405 + vX_[1996] * 0.025941;
+ vX_[2352] = (0 - vX_[2113]) * 8.81e-05;
+ vX_[2755] = vX_[2352] + vX_[2755];
+ vX_[2115] = vX_[2113] * -0.0004405 + vX_[2147] * -8.81e-05 + vX_[2115] * 0.000468;
+ vX_[2755] = vX_[2071] * vX_[839] + vX_[1816] * vX_[836] + vX_[461] * vX_[832] + vX_[1996] * vX_[838] + vX_[2755] * vX_[841] + vX_[2755] * vX_[841] + vX_[2115] * x_in[35];
+ vX_[2352] = vX_[2352] + vX_[1552];
+ vX_[2113] = vX_[2113] * -0.1104774 + vX_[2006] * 8.81e-05 + vX_[1844] * 0.026409;
+ jac[1287] = vX_[1700] * vX_[850] + vX_[3779] * vX_[845] + vX_[2113] * vX_[858] + vX_[2115] * vX_[841] + vX_[1967];
+ vX_[2113] = vX_[1514] * vX_[839] + vX_[1667] * vX_[845] + vX_[1683] * vX_[832] + vX_[1996] * vX_[841] + vX_[2352] * vX_[838] + vX_[2352] * vX_[838] - vX_[2113] * x_in[35];
+ vX_[2352] = vX_[1634] * 0.47422804 + vX_[1249] * 0.0825825 + vX_[1797] * 0.081641 + (0 - vX_[2132]) * 2.1e-05 + vX_[2153] * -0.000102;
+ vX_[1996] = (0 - vX_[1797]) * -0.007418;
+ vX_[1999] = vX_[1009] + vX_[1996] - vX_[1999];
+ vX_[1009] = vX_[2148] * vX_[43] + vX_[1634] * vX_[24] + vX_[1249] * vX_[13] + vX_[2132] * vX_[29] + vX_[2153] * vX_[40];
+ vX_[1999] = vX_[1210] * -0.35 + vX_[2755] * vX_[76] + vX_[2113] * vX_[62] + vX_[2376] * vX_[827] + vX_[1111] * vX_[824] + vX_[1290] * vX_[818] + vX_[2352] * vX_[826] + vX_[1999] * vX_[829] + vX_[1999] * vX_[829] + vX_[1009] * x_in[34];
+ vX_[1996] = vX_[1662] - vX_[1996] - vX_[1923];
+ vX_[1923] = vX_[2148] * vX_[30] + vX_[1634] * vX_[21] + vX_[1249] * vX_[34] + vX_[2132] * vX_[7] + vX_[2153] * vX_[29];
+ jac[1251] = vX_[1613] * vX_[868] + vX_[1335] * vX_[835] + vX_[1923] * vX_[865] + vX_[1009] * vX_[829] + vX_[1734];
+ vX_[1923] = vX_[2755] * vX_[79] + vX_[2113] * vX_[76] + vX_[3518] * vX_[827] + vX_[3447] * vX_[835] + vX_[1421] * vX_[818] + vX_[2352] * vX_[829] + vX_[1996] * vX_[826] + vX_[1996] * vX_[826] - vX_[1923] * x_in[34];
+ vX_[963] = vX_[3272] - vX_[1055] + vX_[963];
+ vX_[1055] = vX_[2280] * 0.1466472 + vX_[2161] * 0.5824264 + vX_[2274] * -5.1e-05 + (0 - vX_[1953]) * -0.123672 + (0 - vX_[3458]) * -3.6e-05;
+ vX_[3272] = vX_[1953] * -0.022734;
+ vX_[974] = vX_[599] - vX_[974] - vX_[3272];
+ vX_[599] = vX_[2280] * vX_[52] + vX_[1861] * vX_[525] + vX_[2161] * vX_[477] + vX_[1953] * vX_[475] + vX_[3458] * vX_[527];
+ vX_[974] = vX_[1999] * vX_[65] + vX_[1923] * vX_[9] + vX_[963] * vX_[809] + vX_[1531] * vX_[812] + vX_[1055] * vX_[810] + vX_[2012] * vX_[808] + vX_[974] * vX_[816] + vX_[974] * vX_[816] - vX_[599] * x_in[33];
+ vX_[2257] = 0 - vX_[2257];
+ vX_[2012] = vX_[2914] + vX_[2137];
+ vX_[1531] = 0 - vX_[2160];
+ vX_[1996] = 0 - vX_[2203];
+ vX_[2287] = 0 - vX_[2287] + vX_[2575];
+ vX_[2575] = 0 - vX_[2909];
+ jac[567] = 0 - (vX_[2045] * vX_[859] + vX_[2146] * vX_[848] + vX_[237] * vX_[661] + vX_[2250] * vX_[663] + vX_[2127] * vX_[104] + vX_[2137] * vX_[594] + vX_[2140] * vX_[87] + vX_[2253] * vX_[634] + vX_[2286] * vX_[112] + vX_[2251] * vX_[608] + vX_[2144] * vX_[530] + vX_[1955] * vX_[610] + vX_[2138] * vX_[121] + vX_[2158] * vX_[535] + vX_[2249] * vX_[537] + vX_[2291] * vX_[585] + vX_[2163] * vX_[481] + vX_[2270] * vX_[532] + vX_[1159] * x_in[22] + vX_[1214] * x_in[19] + (vX_[2162] * vX_[859] + vX_[2027] * vX_[101] + vX_[1159] * x_in[20]) * -0.3735 - (vX_[2067] * vX_[883] + vX_[1114] * x_in[23]) + (vX_[2146] * vX_[883] + vX_[1114] * x_in[19]) * -0.3735 + (vX_[2187] * vX_[883] + vX_[2549] * vX_[479] + vX_[2909] * vX_[531] + vX_[2193] * vX_[114] + vX_[2154] * vX_[116] + vX_[2160] * vX_[87] + vX_[2203] * vX_[96] + vX_[2260] * vX_[99] + vX_[2408] * vX_[115] + vX_[2764] * vX_[104] + vX_[2290] * vX_[477] + vX_[2909] * vX_[528] + vX_[2739] * vX_[52] + vX_[2018] * vX_[484] + vX_[1114] * x_in[18]) * 0.207 - (vX_[2162] * vX_[853] + vX_[3195] * vX_[660] + vX_[2258] * vX_[650] + vX_[2143] * vX_[87] + vX_[2914] * vX_[627] + vX_[1995] * vX_[611] + vX_[2285] * vX_[122] + vX_[2252] * vX_[633] + vX_[2397] * vX_[607] + vX_[2118] * vX_[609] + vX_[2139] * vX_[111] + vX_[2335] * vX_[534] + vX_[2268] * vX_[584] + vX_[586] * vX_[532] + vX_[1072] * vX_[485] + vX_[2027] * vX_[102] + vX_[974] * x_in[20])) * vX_[927] + (vX_[2067] * vX_[859] + vX_[2045] * vX_[883] + vX_[2162] * vX_[848] + vX_[2146] * vX_[853] + vX_[3195] * vX_[663] + vX_[237] * vX_[659] + vX_[2250] * vX_[660] + vX_[2258] * vX_[104] + vX_[2257] * vX_[650] + vX_[2143] * vX_[594] + vX_[2012] * vX_[87] + vX_[2140] * vX_[627] + vX_[2253] * vX_[633] + vX_[1995] * vX_[608] + vX_[2285] * vX_[112] + vX_[2286] * vX_[122] + vX_[2252] * vX_[634] + vX_[2251] * vX_[611] + vX_[2397] * vX_[530] + vX_[2118] * vX_[610] + vX_[2144] * vX_[607] + vX_[1955] * vX_[609] + vX_[2139] * vX_[121] + vX_[2138] * vX_[111] + vX_[2335] * vX_[537] + vX_[2158] * vX_[533] + vX_[2249] * vX_[534] + vX_[2268] * vX_[585] + vX_[2288] * vX_[584] + vX_[586] * vX_[481] + vX_[743] * vX_[532] + vX_[2270] * vX_[485] + vX_[2027] * vX_[100] + (vX_[2168] * vX_[529] + vX_[2254] * vX_[61] + vX_[1126] * vX_[116] + vX_[2278] * vX_[91] + vX_[2967] * vX_[105] + vX_[1531] * vX_[90] + vX_[2107] * vX_[99] + vX_[1996] * vX_[87] + vX_[2165] * vX_[104] + vX_[2287] * vX_[115] + vX_[2168] * vX_[525] + vX_[2575] * vX_[476] + vX_[1126] * vX_[120] + vX_[2967] * vX_[473]) * 0.207 + vX_[1159] * x_in[23] + vX_[1114] * x_in[22] + vX_[1214] * x_in[20] + vX_[974] * x_in[19] + (vX_[2146] * vX_[859] + vX_[2027] * vX_[88] + vX_[1159] * x_in[19]) * 0.3735 + (vX_[2187] * vX_[859] + vX_[1159] * x_in[18]) * -0.207 + (vX_[2162] * vX_[883] + vX_[1114] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3195] = vX_[2407] - vX_[2325];
+ vX_[2402] = vX_[2322] + vX_[2402];
+ vX_[2409] = vX_[2292] + vX_[2409];
+ vX_[2292] = 0 - vX_[2409];
+ vX_[2322] = vX_[3195] * vX_[50];
+ vX_[2278] = vX_[3195] * vX_[88];
+ vX_[2405] = vX_[2266] + vX_[2405];
+ vX_[2438] = vX_[2432] + vX_[2438];
+ vX_[2403] = vX_[2282] + vX_[2403];
+ vX_[2235] = vX_[2229] + vX_[2235];
+ vX_[2229] = vX_[2235] * vX_[88] + vX_[2403] * vX_[50];
+ vX_[2282] = vX_[2235] * vX_[101] + vX_[2403] * vX_[88];
+ vX_[2437] = vX_[2422] + vX_[2437];
+ vX_[2357] = 0 - (vX_[2091] + vX_[2357]) + vX_[2437];
+ vX_[2091] = vX_[2430] - vX_[2317];
+ vX_[2401] = vX_[2275] + vX_[2401];
+ vX_[2440] = vX_[2443] + vX_[2440];
+ vX_[2443] = 0 - vX_[2440];
+ vX_[2275] = vX_[2091] * vX_[50];
+ vX_[2422] = vX_[2091] * vX_[88];
+ vX_[2432] = vX_[2265] + vX_[1993] * 0.207;
+ vX_[2266] = vX_[2241] * vX_[822] + vX_[2277] * vX_[88] + vX_[1993] * vX_[820] + vX_[2128] * vX_[821] + vX_[2230] * vX_[5];
+ vX_[2193] = vX_[1993] * vX_[88] + vX_[2128] * vX_[50];
+ vX_[2027] = vX_[2432] * vX_[833] + vX_[2266] * vX_[64] + vX_[2193] * vX_[834];
+ vX_[2254] = vX_[2432] * vX_[819] + vX_[2266] * vX_[9] + vX_[2193] * vX_[71];
+ vX_[2397] = vX_[2027] * 1 / vX_[41];
+ vX_[2549] = vX_[2254] * 1 / vX_[41];
+ vX_[2288] = vX_[2193] * 1 / vX_[41];
+ vX_[2268] = vX_[2432] * 1 / vX_[0];
+ vX_[2118] = vX_[2241] * vX_[88] + vX_[2277] * vX_[50] + vX_[1993] * vX_[102] + vX_[2128] * vX_[100] + vX_[2230] * vX_[811];
+ vX_[2252] = vX_[2118] * 1 / vX_[0];
+ vX_[2154] = vX_[2266] * 1 / vX_[0];
+ vX_[2139] = vX_[2230] * 1 / vX_[0];
+ vX_[743] = vX_[2193] * 1 / vX_[0];
+ vX_[1072] = vX_[1993] * vX_[101] + vX_[2128] * vX_[88];
+ vX_[586] = vX_[1072] * 1 / vX_[0];
+ vX_[2335] = vX_[2230] - (vX_[2268] * vX_[97] + vX_[2252] * vX_[27] + vX_[2154] * vX_[17] + vX_[2139] * vX_[0] + vX_[743] * vX_[110] + vX_[586] * vX_[119]);
+ vX_[2270] = vX_[2335] * vX_[4] + vX_[1072] * vX_[65];
+ vX_[2163] = vX_[2270] * 1 / vX_[41];
+ vX_[2291] = vX_[2335] * vX_[65] + vX_[1072] * vX_[9];
+ vX_[2249] = vX_[2291] * 1 / vX_[41];
+ vX_[2158] = vX_[2193] - (vX_[2397] * vX_[26] + vX_[2549] * vX_[44] + vX_[2288] * vX_[41] + vX_[2163] * vX_[32] + vX_[2249] * vX_[69]);
+ vX_[2138] = vX_[2027] * vX_[62] + vX_[2254] * vX_[76] + vX_[2158] * vX_[77];
+ vX_[2285] = vX_[2027] * vX_[76] + vX_[2254] * vX_[843] + vX_[2158] * vX_[844];
+ vX_[1955] = vX_[2158] - (vX_[2285] * 38.1956380581338 * 0.1104774 + vX_[2138] * 38.1956380581338 * 0.0004405 + vX_[2158] * 38.1956380581338 * 0.026181);
+ vX_[2144] = vX_[2270] * vX_[76] + vX_[2291] * vX_[79];
+ vX_[1995] = vX_[2138] * 0.881 + (0 - vX_[1955]) * -0.0004405 + vX_[2144] * 8.81e-05;
+ vX_[2251] = vX_[2285] * -0.881;
+ vX_[2286] = vX_[1955] * 0.1104774;
+ vX_[2253] = vX_[2270] * vX_[62] + vX_[2291] * vX_[76];
+ vX_[2250] = vX_[2253] * 8.81e-05;
+ vX_[237] = vX_[2251] - vX_[2286] + vX_[2250];
+ vX_[2352] = vX_[1995] * vX_[841] + vX_[237] * vX_[838];
+ vX_[3447] = vX_[2254] * 3.146 + (0 - vX_[2158]) * 0.0825825;
+ vX_[1421] = vX_[2027] * -3.146;
+ vX_[3518] = vX_[2158] * 0.47422804;
+ vX_[1009] = vX_[1421] - vX_[3518];
+ vX_[1613] = vX_[2352] + vX_[3447] * vX_[829] + vX_[1009] * vX_[826];
+ vX_[1335] = vX_[2266] * 3.44 + vX_[2193] * 0.5824264;
+ vX_[1734] = 0 - vX_[1335];
+ vX_[1662] = vX_[2432] * 3.44 + (0 - vX_[2193]) * 0.1466472;
+ vX_[1111] = vX_[2432] * vX_[104] + vX_[2118] * vX_[87] + vX_[2266] * vX_[96] + vX_[2193] * vX_[477] + vX_[1072] * vX_[528];
+ vX_[1290] = vX_[1613] + vX_[1734] * vX_[810] + vX_[1662] * vX_[816] + vX_[1111] * x_in[33];
+ vX_[2376] = 0 - vX_[1995];
+ vX_[2250] = 0 - vX_[2251] + vX_[2286] - vX_[2250];
+ vX_[2286] = vX_[2118] + vX_[2335] * 0.08;
+ vX_[2251] = vX_[2286] + vX_[2270] * -0.35;
+ vX_[1210] = vX_[2251] * -0.0004405 + vX_[2285] * 8.81e-05 + vX_[2253] * -0.000227999999999999;
+ vX_[1667] = vX_[2251] * 0.1104774 + vX_[2138] * 8.81e-05 + (0 - vX_[2144]) * 0.025713;
+ vX_[1683] = (0 - vX_[2285]) * -0.0004405;
+ vX_[1514] = (0 - vX_[2138]) * 0.1104774;
+ vX_[2115] = vX_[1683] + vX_[1514];
+ vX_[2115] = vX_[2376] * vX_[845] + vX_[2250] * vX_[836] + vX_[1210] * vX_[841] + vX_[1667] * vX_[838] + vX_[2115] * vX_[832] + vX_[2115] * vX_[832];
+ vX_[1700] = vX_[2251] * 0.881 + (0 - vX_[2144]) * 0.1104774 + vX_[2253] * -0.0004405;
+ vX_[3779] = vX_[2285] * -0.00185880198235362 + vX_[2138] * 0.880992588508842 + vX_[2144] * 8.81e-05;
+ vX_[2376] = vX_[2376] * vX_[832] + vX_[1700] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[1967] = 0 - vX_[1700];
+ vX_[1844] = vX_[2285] * 0.414812462825713 + vX_[2138] * -0.00185880198235362 + vX_[2253] * -8.81e-05;
+ vX_[2250] = vX_[2250] * vX_[832] + vX_[1967] * vX_[841] - vX_[1844] * x_in[35];
+ vX_[2006] = 0 - vX_[3447];
+ vX_[3518] = 0 - vX_[1421] + vX_[3518];
+ vX_[1421] = vX_[2286] * 0.0825825 + (0 - vX_[2158]) * -0.000102 + vX_[2270] * -0.007418 + vX_[2291] * 0.002735;
+ vX_[1552] = vX_[2286] * 0.47422804 + vX_[2158] * 2.1e-05 + (0 - vX_[2270]) * 0.084376 + (0 - vX_[2291]) * -0.007418;
+ vX_[1816] = (0 - vX_[2027]) * 0.0825825;
+ vX_[461] = (0 - vX_[2254]) * 0.47422804;
+ vX_[2071] = vX_[2270] * -0.000102;
+ vX_[2147] = (0 - vX_[2291]) * 2.1e-05;
+ vX_[707] = vX_[1816] + vX_[461] + vX_[2071] + vX_[2147];
+ vX_[707] = vX_[2115] + vX_[2376] * vX_[844] + vX_[2250] * vX_[77] + vX_[2006] * vX_[835] + vX_[3518] * vX_[824] + vX_[1421] * vX_[829] + vX_[1552] * vX_[826] + vX_[707] * vX_[818] + vX_[707] * vX_[818];
+ vX_[1236] = vX_[2286] * 3.146 + (0 - vX_[2270]) * 0.47422804 + vX_[2291] * 0.0825825;
+ vX_[575] = vX_[2027] * vX_[73] + vX_[2254] * vX_[75] + vX_[2270] * vX_[34] + vX_[2291] * vX_[13];
+ vX_[2006] = vX_[2376] * vX_[76] + vX_[2250] * vX_[62] + vX_[2006] * vX_[818] + vX_[1236] * vX_[826] + vX_[575] * x_in[34];
+ vX_[730] = 0 - vX_[1236];
+ vX_[579] = vX_[2027] * vX_[80] + vX_[2254] * vX_[73] + vX_[2270] * vX_[21] + vX_[2291] * vX_[24];
+ vX_[3518] = vX_[2376] * vX_[843] + vX_[2250] * vX_[76] + vX_[3518] * vX_[818] + vX_[730] * vX_[829] - vX_[579] * x_in[34];
+ vX_[453] = 0 - vX_[1662];
+ vX_[1506] = vX_[2118] * 0.5824264 + (0 - vX_[2335]) * -0.022734 + vX_[2193] * -3.6e-05 + vX_[1072] * -0.133138;
+ vX_[422] = vX_[2118] * 0.1466472 + vX_[2335] * 0.009466 + (0 - vX_[2193]) * -5.1e-05 + vX_[1072] * -0.022734;
+ vX_[2491] = (0 - vX_[2432]) * 0.5824264;
+ vX_[464] = (0 - vX_[2266]) * 0.1466472;
+ vX_[1836] = (0 - vX_[2335]) * -3.6e-05;
+ vX_[3077] = (0 - vX_[1072]) * -5.1e-05;
+ vX_[2026] = vX_[2491] + vX_[464] + vX_[1836] - vX_[3077];
+ vX_[2416] = vX_[2432] * vX_[120] + vX_[2118] * vX_[476] + vX_[2266] * vX_[528] + vX_[2193] * vX_[527] + vX_[1072] * vX_[53];
+ vX_[2026] = vX_[707] + vX_[2006] * vX_[834] + vX_[3518] * vX_[71] + vX_[1335] * vX_[809] + vX_[453] * vX_[823] + vX_[1506] * vX_[810] + vX_[422] * vX_[816] + vX_[2026] * vX_[808] + vX_[2026] * vX_[808] + vX_[2416] * x_in[33];
+ vX_[1022] = vX_[2412] - vX_[2317];
+ vX_[1166] = vX_[1022] * vX_[88] + vX_[2401] * vX_[50];
+ vX_[2406] = vX_[1022] * vX_[101] + vX_[2401] * vX_[88];
+ vX_[1942] = vX_[2406] + vX_[2275];
+ vX_[2289] = vX_[1166] * vX_[101] + vX_[1942] * vX_[88] + vX_[2422] * vX_[50];
+ vX_[2640] = 0 - vX_[2289];
+ vX_[3151] = vX_[2317] + vX_[1166] * vX_[88] + vX_[2275] * vX_[50];
+ vX_[1998] = 0 - vX_[3151];
+ vX_[2298] = vX_[2317] + vX_[2406] * vX_[101] + vX_[2422] * vX_[88];
+ vX_[2353] = vX_[2276] + vX_[2353] - vX_[2438];
+ vX_[2276] = vX_[2437] * vX_[88] + vX_[2438] * vX_[50];
+ vX_[1911] = 0 - (vX_[2353] * vX_[101] + vX_[2357] * vX_[88]) + vX_[2276];
+ vX_[3133] = vX_[1911] + vX_[3151] * vX_[89];
+ vX_[2308] = 0 - vX_[3133];
+ vX_[2435] = vX_[2437] * vX_[101] + vX_[2438] * vX_[88];
+ vX_[514] = vX_[2353] * vX_[88] + vX_[2357] * vX_[50] + vX_[2435];
+ vX_[1015] = 0 - vX_[2298];
+ vX_[1048] = vX_[514] + vX_[2289] * vX_[89] + vX_[1015] * vX_[5];
+ vX_[2404] = vX_[2331] + vX_[2404];
+ vX_[2331] = vX_[2405] * vX_[88] + vX_[2404] * vX_[101];
+ vX_[1339] = vX_[2331] * vX_[88] + vX_[2282] * vX_[50];
+ vX_[2420] = vX_[2294] + vX_[2420];
+ vX_[2440] = 0 - vX_[2440];
+ vX_[2294] = vX_[2420] * vX_[101] + vX_[2440] * vX_[88];
+ vX_[1629] = 0 - vX_[2294];
+ vX_[576] = vX_[1339] + vX_[1629] * vX_[5] + vX_[1998] * vX_[103];
+ vX_[1464] = 0 - vX_[576];
+ vX_[2050] = vX_[2405] * vX_[50] + vX_[2404] * vX_[88];
+ vX_[1913] = vX_[2050] * vX_[101] + vX_[2229] * vX_[88];
+ vX_[1699] = vX_[2420] * vX_[88] + vX_[2443] * vX_[50];
+ vX_[2943] = 0 - vX_[1699];
+ vX_[567] = vX_[1913] + vX_[2943] * vX_[89] + vX_[2298] * vX_[103];
+ vX_[255] = vX_[2050] * vX_[88] + vX_[2229] * vX_[50];
+ vX_[289] = vX_[255] + vX_[2294] * vX_[89];
+ vX_[247] = vX_[2331] * vX_[101] + vX_[2282] * vX_[88];
+ vX_[248] = vX_[247] + vX_[1699] * vX_[5] + vX_[2640] * vX_[103];
+ vX_[1318] = 0 - vX_[289] + vX_[248];
+ vX_[249] = 0 - vX_[2289];
+ vX_[684] = 0 - vX_[3151];
+ vX_[1998] = vX_[2640] * vX_[531] + vX_[1998] * vX_[479] + vX_[2298] * vX_[61] + vX_[2308] * vX_[104] + vX_[1048] * vX_[115] + vX_[1464] * vX_[96] + vX_[567] * vX_[90] + vX_[1318] * vX_[87] + vX_[2289] * vX_[525] + vX_[249] * vX_[528] + vX_[684] * vX_[478] + vX_[2298] * vX_[482];
+ vX_[2640] = vX_[2118] * -3.44;
+ vX_[251] = vX_[2335] * 0.1466472;
+ vX_[2061] = vX_[1072] * 0.5824264;
+ vX_[1522] = 0 - vX_[2640] + vX_[251] - vX_[2061];
+ vX_[1741] = vX_[2432] * vX_[115] + vX_[2118] * vX_[90] + vX_[2266] * vX_[87] + vX_[2193] * vX_[525] + vX_[1072] * vX_[476];
+ vX_[453] = vX_[2006] * vX_[64] + vX_[3518] * vX_[9] + vX_[1522] * vX_[810] + vX_[453] * vX_[808] - vX_[1741] * x_in[33];
+ vX_[2317] = vX_[2412] + vX_[2430] + vX_[2317] - vX_[3151] - vX_[2298];
+ vX_[2430] = 0 - vX_[2317];
+ vX_[2276] = vX_[2276] + vX_[2430] * vX_[89];
+ vX_[2435] = vX_[2435] + vX_[2317] * vX_[5];
+ vX_[2412] = 0 - vX_[1048];
+ vX_[1856] = 0 - vX_[567];
+ vX_[2439] = vX_[2442] + vX_[2439] + vX_[2404] + vX_[2403] - vX_[255] - vX_[247];
+ vX_[248] = vX_[2439] - vX_[248];
+ vX_[2442] = 0 - vX_[2294];
+ vX_[536] = 0 - vX_[2289];
+ vX_[240] = 0 - vX_[2298];
+ vX_[2078] = vX_[2400] - vX_[2325];
+ vX_[2410] = vX_[2267] + vX_[2410];
+ vX_[2267] = vX_[2078] * vX_[88] + vX_[2402] * vX_[50];
+ vX_[2495] = vX_[2078] * vX_[101] + vX_[2402] * vX_[88];
+ vX_[1955] = vX_[2285] * 0.1104774 + vX_[2138] * -0.0004405 + vX_[1955] * 0.025941;
+ vX_[655] = (0 - vX_[2251]) * 8.81e-05;
+ vX_[1514] = vX_[655] + vX_[1514];
+ vX_[2253] = vX_[2251] * -0.0004405 + vX_[2285] * -8.81e-05 + vX_[2253] * 0.000468;
+ vX_[1514] = vX_[1995] * vX_[839] + vX_[1967] * vX_[836] + vX_[1210] * vX_[832] + vX_[1955] * vX_[838] + vX_[1514] * vX_[841] + vX_[1514] * vX_[841] + vX_[2253] * x_in[35];
+ vX_[655] = vX_[655] + vX_[1683];
+ vX_[2251] = vX_[2251] * -0.1104774 + vX_[2138] * 8.81e-05 + vX_[2144] * 0.026409;
+ jac[1288] = vX_[1844] * vX_[850] + vX_[3779] * vX_[845] + vX_[2251] * vX_[858] + vX_[2253] * vX_[841] + vX_[2115];
+ vX_[2251] = vX_[237] * vX_[839] + vX_[1700] * vX_[845] + vX_[1667] * vX_[832] + vX_[1955] * vX_[841] + vX_[655] * vX_[838] + vX_[655] * vX_[838] - vX_[2251] * x_in[35];
+ vX_[655] = vX_[2027] * 0.47422804 + vX_[2254] * 0.0825825 + vX_[2158] * 0.081641 + (0 - vX_[2270]) * 2.1e-05 + vX_[2291] * -0.000102;
+ vX_[1955] = (0 - vX_[2158]) * -0.007418;
+ vX_[2147] = vX_[461] + vX_[1955] - vX_[2147];
+ vX_[461] = vX_[2286] * vX_[43] + vX_[2027] * vX_[24] + vX_[2254] * vX_[13] + vX_[2270] * vX_[29] + vX_[2291] * vX_[40];
+ vX_[2147] = vX_[2352] * -0.35 + vX_[1514] * vX_[76] + vX_[2251] * vX_[62] + vX_[3447] * vX_[827] + vX_[730] * vX_[824] + vX_[1421] * vX_[818] + vX_[655] * vX_[826] + vX_[2147] * vX_[829] + vX_[2147] * vX_[829] + vX_[461] * x_in[34];
+ vX_[1955] = vX_[1816] - vX_[1955] - vX_[2071];
+ vX_[2071] = vX_[2286] * vX_[30] + vX_[2027] * vX_[21] + vX_[2254] * vX_[34] + vX_[2270] * vX_[7] + vX_[2291] * vX_[29];
+ jac[1252] = vX_[579] * vX_[868] + vX_[575] * vX_[835] + vX_[2071] * vX_[865] + vX_[461] * vX_[829] + vX_[707];
+ vX_[2071] = vX_[1514] * vX_[79] + vX_[2251] * vX_[76] + vX_[1009] * vX_[827] + vX_[1236] * vX_[835] + vX_[1552] * vX_[818] + vX_[655] * vX_[829] + vX_[1955] * vX_[826] + vX_[1955] * vX_[826] - vX_[2071] * x_in[34];
+ vX_[2061] = vX_[2640] - vX_[251] + vX_[2061];
+ vX_[251] = vX_[2432] * 0.1466472 + vX_[2266] * 0.5824264 + vX_[2335] * -5.1e-05 + (0 - vX_[2193]) * -0.123672 + (0 - vX_[1072]) * -3.6e-05;
+ vX_[2640] = vX_[2193] * -0.022734;
+ vX_[1836] = vX_[2491] - vX_[1836] - vX_[2640];
+ vX_[2491] = vX_[2432] * vX_[52] + vX_[2118] * vX_[525] + vX_[2266] * vX_[477] + vX_[2193] * vX_[475] + vX_[1072] * vX_[527];
+ vX_[1836] = vX_[2147] * vX_[65] + vX_[2071] * vX_[9] + vX_[2061] * vX_[809] + vX_[1662] * vX_[812] + vX_[251] * vX_[810] + vX_[422] * vX_[808] + vX_[1836] * vX_[816] + vX_[1836] * vX_[816] - vX_[2491] * x_in[33];
+ vX_[2409] = 0 - vX_[2409];
+ vX_[422] = vX_[2495] + vX_[2322];
+ vX_[1662] = 0 - vX_[2276];
+ vX_[1955] = 0 - vX_[2435];
+ vX_[2439] = 0 - vX_[2439] + vX_[289];
+ vX_[289] = 0 - vX_[1699];
+ jac[568] = 0 - (vX_[2277] * vX_[859] + vX_[2128] * vX_[848] + vX_[3195] * vX_[661] + vX_[2402] * vX_[663] + vX_[2292] * vX_[104] + vX_[2322] * vX_[594] + vX_[2278] * vX_[87] + vX_[2405] * vX_[634] + vX_[2438] * vX_[112] + vX_[2403] * vX_[608] + vX_[2229] * vX_[530] + vX_[2282] * vX_[610] + vX_[2357] * vX_[121] + vX_[2091] * vX_[535] + vX_[2401] * vX_[537] + vX_[2443] * vX_[585] + vX_[2275] * vX_[481] + vX_[2422] * vX_[532] + vX_[1290] * x_in[22] + vX_[2026] * x_in[19] + (vX_[1993] * vX_[859] + vX_[1998] * vX_[101] + vX_[1290] * x_in[20]) * -0.3735 - (vX_[2241] * vX_[883] + vX_[453] * x_in[23]) + (vX_[2128] * vX_[883] + vX_[453] * x_in[19]) * -0.3735 + (vX_[2230] * vX_[883] + vX_[1629] * vX_[479] + vX_[1699] * vX_[531] + vX_[2317] * vX_[114] + vX_[1015] * vX_[116] + vX_[2276] * vX_[87] + vX_[2435] * vX_[96] + vX_[2412] * vX_[99] + vX_[1856] * vX_[115] + vX_[248] * vX_[104] + vX_[2442] * vX_[477] + vX_[1699] * vX_[528] + vX_[536] * vX_[52] + vX_[240] * vX_[484] + vX_[453] * x_in[18]) * 0.207 - (vX_[1993] * vX_[853] + vX_[2078] * vX_[660] + vX_[2410] * vX_[650] + vX_[2267] * vX_[87] + vX_[2495] * vX_[627] + vX_[2235] * vX_[611] + vX_[2437] * vX_[122] + vX_[2404] * vX_[633] + vX_[2050] * vX_[607] + vX_[2331] * vX_[609] + vX_[2353] * vX_[111] + vX_[1022] * vX_[534] + vX_[2420] * vX_[584] + vX_[1166] * vX_[532] + vX_[2406] * vX_[485] + vX_[1998] * vX_[102] + vX_[1836] * x_in[20])) * vX_[927] + (vX_[2241] * vX_[859] + vX_[2277] * vX_[883] + vX_[1993] * vX_[848] + vX_[2128] * vX_[853] + vX_[2078] * vX_[663] + vX_[3195] * vX_[659] + vX_[2402] * vX_[660] + vX_[2410] * vX_[104] + vX_[2409] * vX_[650] + vX_[2267] * vX_[594] + vX_[422] * vX_[87] + vX_[2278] * vX_[627] + vX_[2405] * vX_[633] + vX_[2235] * vX_[608] + vX_[2437] * vX_[112] + vX_[2438] * vX_[122] + vX_[2404] * vX_[634] + vX_[2403] * vX_[611] + vX_[2050] * vX_[530] + vX_[2331] * vX_[610] + vX_[2229] * vX_[607] + vX_[2282] * vX_[609] + vX_[2353] * vX_[121] + vX_[2357] * vX_[111] + vX_[1022] * vX_[537] + vX_[2091] * vX_[533] + vX_[2401] * vX_[534] + vX_[2420] * vX_[585] + vX_[2440] * vX_[584] + vX_[1166] * vX_[481] + vX_[1942] * vX_[532] + vX_[2422] * vX_[485] + vX_[1998] * vX_[100] + (vX_[2294] * vX_[529] + vX_[2943] * vX_[61] + vX_[2289] * vX_[116] + vX_[2430] * vX_[91] + vX_[3151] * vX_[105] + vX_[1662] * vX_[90] + vX_[3133] * vX_[99] + vX_[1955] * vX_[87] + vX_[576] * vX_[104] + vX_[2439] * vX_[115] + vX_[2294] * vX_[525] + vX_[289] * vX_[476] + vX_[2289] * vX_[120] + vX_[3151] * vX_[473]) * 0.207 + vX_[1290] * x_in[23] + vX_[453] * x_in[22] + vX_[2026] * x_in[20] + vX_[1836] * x_in[19] + (vX_[2128] * vX_[859] + vX_[1998] * vX_[88] + vX_[1290] * x_in[19]) * 0.3735 + (vX_[2230] * vX_[859] + vX_[1290] * x_in[18]) * -0.207 + (vX_[1993] * vX_[883] + vX_[453] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[2078] = vX_[2559] - vX_[2477];
+ vX_[2554] = vX_[2474] + vX_[2554];
+ vX_[2561] = vX_[2444] + vX_[2561];
+ vX_[2444] = 0 - vX_[2561];
+ vX_[2474] = vX_[2078] * vX_[50];
+ vX_[2430] = vX_[2078] * vX_[88];
+ vX_[2557] = vX_[2418] + vX_[2557];
+ vX_[2590] = vX_[2584] + vX_[2590];
+ vX_[2555] = vX_[2434] + vX_[2555];
+ vX_[2387] = vX_[2381] + vX_[2387];
+ vX_[2381] = vX_[2387] * vX_[88] + vX_[2555] * vX_[50];
+ vX_[2434] = vX_[2387] * vX_[101] + vX_[2555] * vX_[88];
+ vX_[2589] = vX_[2574] + vX_[2589];
+ vX_[2509] = 0 - (vX_[2349] + vX_[2509]) + vX_[2589];
+ vX_[2349] = vX_[2582] - vX_[2469];
+ vX_[2553] = vX_[2427] + vX_[2553];
+ vX_[2592] = vX_[2595] + vX_[2592];
+ vX_[2595] = 0 - vX_[2592];
+ vX_[2427] = vX_[2349] * vX_[50];
+ vX_[2574] = vX_[2349] * vX_[88];
+ vX_[2584] = vX_[2417] + vX_[2237] * 0.207;
+ vX_[2418] = vX_[2393] * vX_[822] + vX_[2429] * vX_[88] + vX_[2237] * vX_[820] + vX_[2354] * vX_[821] + vX_[2382] * vX_[5];
+ vX_[2317] = vX_[2237] * vX_[88] + vX_[2354] * vX_[50];
+ vX_[1998] = vX_[2584] * vX_[833] + vX_[2418] * vX_[64] + vX_[2317] * vX_[834];
+ vX_[2943] = vX_[2584] * vX_[819] + vX_[2418] * vX_[9] + vX_[2317] * vX_[71];
+ vX_[2050] = vX_[1998] * 1 / vX_[41];
+ vX_[1629] = vX_[2943] * 1 / vX_[41];
+ vX_[2440] = vX_[2317] * 1 / vX_[41];
+ vX_[2420] = vX_[2584] * 1 / vX_[0];
+ vX_[2331] = vX_[2393] * vX_[88] + vX_[2429] * vX_[50] + vX_[2237] * vX_[102] + vX_[2354] * vX_[100] + vX_[2382] * vX_[811];
+ vX_[2404] = vX_[2331] * 1 / vX_[0];
+ vX_[1015] = vX_[2418] * 1 / vX_[0];
+ vX_[2353] = vX_[2382] * 1 / vX_[0];
+ vX_[1942] = vX_[2317] * 1 / vX_[0];
+ vX_[2406] = vX_[2237] * vX_[101] + vX_[2354] * vX_[88];
+ vX_[1166] = vX_[2406] * 1 / vX_[0];
+ vX_[1022] = vX_[2382] - (vX_[2420] * vX_[97] + vX_[2404] * vX_[27] + vX_[1015] * vX_[17] + vX_[2353] * vX_[0] + vX_[1942] * vX_[110] + vX_[1166] * vX_[119]);
+ vX_[2422] = vX_[1022] * vX_[4] + vX_[2406] * vX_[65];
+ vX_[2275] = vX_[2422] * 1 / vX_[41];
+ vX_[2443] = vX_[1022] * vX_[65] + vX_[2406] * vX_[9];
+ vX_[2401] = vX_[2443] * 1 / vX_[41];
+ vX_[2091] = vX_[2317] - (vX_[2050] * vX_[26] + vX_[1629] * vX_[44] + vX_[2440] * vX_[41] + vX_[2275] * vX_[32] + vX_[2401] * vX_[69]);
+ vX_[2357] = vX_[1998] * vX_[62] + vX_[2943] * vX_[76] + vX_[2091] * vX_[77];
+ vX_[2437] = vX_[1998] * vX_[76] + vX_[2943] * vX_[843] + vX_[2091] * vX_[844];
+ vX_[2282] = vX_[2091] - (vX_[2437] * 38.1956380581338 * 0.1104774 + vX_[2357] * 38.1956380581338 * 0.0004405 + vX_[2091] * 38.1956380581338 * 0.026181);
+ vX_[2229] = vX_[2422] * vX_[76] + vX_[2443] * vX_[79];
+ vX_[2235] = vX_[2357] * 0.881 + (0 - vX_[2282]) * -0.0004405 + vX_[2229] * 8.81e-05;
+ vX_[2403] = vX_[2437] * -0.881;
+ vX_[2438] = vX_[2282] * 0.1104774;
+ vX_[2405] = vX_[2422] * vX_[62] + vX_[2443] * vX_[76];
+ vX_[2402] = vX_[2405] * 8.81e-05;
+ vX_[3195] = vX_[2403] - vX_[2438] + vX_[2402];
+ vX_[655] = vX_[2235] * vX_[841] + vX_[3195] * vX_[838];
+ vX_[1236] = vX_[2943] * 3.146 + (0 - vX_[2091]) * 0.0825825;
+ vX_[1552] = vX_[1998] * -3.146;
+ vX_[1009] = vX_[2091] * 0.47422804;
+ vX_[461] = vX_[1552] - vX_[1009];
+ vX_[579] = vX_[655] + vX_[1236] * vX_[829] + vX_[461] * vX_[826];
+ vX_[575] = vX_[2418] * 3.44 + vX_[2317] * 0.5824264;
+ vX_[707] = 0 - vX_[575];
+ vX_[1816] = vX_[2584] * 3.44 + (0 - vX_[2317]) * 0.1466472;
+ vX_[730] = vX_[2584] * vX_[104] + vX_[2331] * vX_[87] + vX_[2418] * vX_[96] + vX_[2317] * vX_[477] + vX_[2406] * vX_[528];
+ vX_[1421] = vX_[579] + vX_[707] * vX_[810] + vX_[1816] * vX_[816] + vX_[730] * x_in[33];
+ vX_[3447] = 0 - vX_[2235];
+ vX_[2402] = 0 - vX_[2403] + vX_[2438] - vX_[2402];
+ vX_[2438] = vX_[2331] + vX_[1022] * 0.08;
+ vX_[2403] = vX_[2438] + vX_[2422] * -0.35;
+ vX_[2352] = vX_[2403] * -0.0004405 + vX_[2437] * 8.81e-05 + vX_[2405] * -0.000227999999999999;
+ vX_[1700] = vX_[2403] * 0.1104774 + vX_[2357] * 8.81e-05 + (0 - vX_[2229]) * 0.025713;
+ vX_[1667] = (0 - vX_[2437]) * -0.0004405;
+ vX_[237] = (0 - vX_[2357]) * 0.1104774;
+ vX_[2253] = vX_[1667] + vX_[237];
+ vX_[2253] = vX_[3447] * vX_[845] + vX_[2402] * vX_[836] + vX_[2352] * vX_[841] + vX_[1700] * vX_[838] + vX_[2253] * vX_[832] + vX_[2253] * vX_[832];
+ vX_[1844] = vX_[2403] * 0.881 + (0 - vX_[2229]) * 0.1104774 + vX_[2405] * -0.0004405;
+ vX_[3779] = vX_[2437] * -0.00185880198235362 + vX_[2357] * 0.880992588508842 + vX_[2229] * 8.81e-05;
+ vX_[3447] = vX_[3447] * vX_[832] + vX_[1844] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[2115] = 0 - vX_[1844];
+ vX_[2144] = vX_[2437] * 0.414812462825713 + vX_[2357] * -0.00185880198235362 + vX_[2405] * -8.81e-05;
+ vX_[2402] = vX_[2402] * vX_[832] + vX_[2115] * vX_[841] - vX_[2144] * x_in[35];
+ vX_[2138] = 0 - vX_[1236];
+ vX_[1009] = 0 - vX_[1552] + vX_[1009];
+ vX_[1552] = vX_[2438] * 0.0825825 + (0 - vX_[2091]) * -0.000102 + vX_[2422] * -0.007418 + vX_[2443] * 0.002735;
+ vX_[1683] = vX_[2438] * 0.47422804 + vX_[2091] * 2.1e-05 + (0 - vX_[2422]) * 0.084376 + (0 - vX_[2443]) * -0.007418;
+ vX_[1967] = (0 - vX_[1998]) * 0.0825825;
+ vX_[1210] = (0 - vX_[2943]) * 0.47422804;
+ vX_[1995] = vX_[2422] * -0.000102;
+ vX_[2285] = (0 - vX_[2443]) * 2.1e-05;
+ vX_[3451] = vX_[1967] + vX_[1210] + vX_[1995] + vX_[2285];
+ vX_[3451] = vX_[2253] + vX_[3447] * vX_[844] + vX_[2402] * vX_[77] + vX_[2138] * vX_[835] + vX_[1009] * vX_[824] + vX_[1552] * vX_[829] + vX_[1683] * vX_[826] + vX_[3451] * vX_[818] + vX_[3451] * vX_[818];
+ vX_[2347] = vX_[2438] * 3.146 + (0 - vX_[2422]) * 0.47422804 + vX_[2443] * 0.0825825;
+ vX_[686] = vX_[1998] * vX_[73] + vX_[2943] * vX_[75] + vX_[2422] * vX_[34] + vX_[2443] * vX_[13];
+ vX_[2138] = vX_[3447] * vX_[76] + vX_[2402] * vX_[62] + vX_[2138] * vX_[818] + vX_[2347] * vX_[826] + vX_[686] * x_in[34];
+ vX_[2008] = 0 - vX_[2347];
+ vX_[1744] = vX_[1998] * vX_[80] + vX_[2943] * vX_[73] + vX_[2422] * vX_[21] + vX_[2443] * vX_[24];
+ vX_[1009] = vX_[3447] * vX_[843] + vX_[2402] * vX_[76] + vX_[1009] * vX_[818] + vX_[2008] * vX_[829] - vX_[1744] * x_in[34];
+ vX_[1392] = 0 - vX_[1816];
+ vX_[1162] = vX_[2331] * 0.5824264 + (0 - vX_[1022]) * -0.022734 + vX_[2317] * -3.6e-05 + vX_[2406] * -0.133138;
+ vX_[1025] = vX_[2331] * 0.1466472 + vX_[1022] * 0.009466 + (0 - vX_[2317]) * -5.1e-05 + vX_[2406] * -0.022734;
+ vX_[299] = (0 - vX_[2584]) * 0.5824264;
+ vX_[288] = (0 - vX_[2418]) * 0.1466472;
+ vX_[252] = (0 - vX_[1022]) * -3.6e-05;
+ vX_[3536] = (0 - vX_[2406]) * -5.1e-05;
+ vX_[3516] = vX_[299] + vX_[288] + vX_[252] - vX_[3536];
+ vX_[243] = vX_[2584] * vX_[120] + vX_[2331] * vX_[476] + vX_[2418] * vX_[528] + vX_[2317] * vX_[527] + vX_[2406] * vX_[53];
+ vX_[3516] = vX_[3451] + vX_[2138] * vX_[834] + vX_[1009] * vX_[71] + vX_[575] * vX_[809] + vX_[1392] * vX_[823] + vX_[1162] * vX_[810] + vX_[1025] * vX_[816] + vX_[3516] * vX_[808] + vX_[3516] * vX_[808] + vX_[243] * x_in[33];
+ vX_[959] = vX_[2564] - vX_[2469];
+ vX_[1827] = vX_[959] * vX_[88] + vX_[2553] * vX_[50];
+ vX_[1631] = vX_[959] * vX_[101] + vX_[2553] * vX_[88];
+ vX_[570] = vX_[1631] + vX_[2427];
+ vX_[1375] = vX_[1827] * vX_[101] + vX_[570] * vX_[88] + vX_[2574] * vX_[50];
+ vX_[262] = 0 - vX_[1375];
+ vX_[509] = vX_[2469] + vX_[1827] * vX_[88] + vX_[2427] * vX_[50];
+ vX_[983] = 0 - vX_[509];
+ vX_[1001] = vX_[2469] + vX_[1631] * vX_[101] + vX_[2574] * vX_[88];
+ vX_[2505] = vX_[2428] + vX_[2505] - vX_[2590];
+ vX_[2428] = vX_[2589] * vX_[88] + vX_[2590] * vX_[50];
+ vX_[3609] = 0 - (vX_[2505] * vX_[101] + vX_[2509] * vX_[88]) + vX_[2428];
+ vX_[283] = vX_[3609] + vX_[509] * vX_[89];
+ vX_[630] = 0 - vX_[283];
+ vX_[246] = vX_[2589] * vX_[101] + vX_[2590] * vX_[88];
+ vX_[3602] = vX_[2505] * vX_[88] + vX_[2509] * vX_[50] + vX_[246];
+ vX_[302] = 0 - vX_[1001];
+ vX_[981] = vX_[3602] + vX_[1375] * vX_[89] + vX_[302] * vX_[5];
+ vX_[2556] = vX_[2483] + vX_[2556];
+ vX_[2483] = vX_[2557] * vX_[88] + vX_[2556] * vX_[101];
+ vX_[279] = vX_[2483] * vX_[88] + vX_[2434] * vX_[50];
+ vX_[2572] = vX_[2458] + vX_[2572];
+ vX_[2592] = 0 - vX_[2592];
+ vX_[2458] = vX_[2572] * vX_[101] + vX_[2592] * vX_[88];
+ vX_[1568] = 0 - vX_[2458];
+ vX_[298] = vX_[279] + vX_[1568] * vX_[5] + vX_[983] * vX_[103];
+ vX_[3428] = 0 - vX_[298];
+ vX_[1226] = vX_[2557] * vX_[50] + vX_[2556] * vX_[88];
+ vX_[3474] = vX_[1226] * vX_[101] + vX_[2381] * vX_[88];
+ vX_[241] = vX_[2572] * vX_[88] + vX_[2595] * vX_[50];
+ vX_[239] = 0 - vX_[241];
+ vX_[3423] = vX_[3474] + vX_[239] * vX_[89] + vX_[1001] * vX_[103];
+ vX_[306] = vX_[1226] * vX_[88] + vX_[2381] * vX_[50];
+ vX_[3497] = vX_[306] + vX_[2458] * vX_[89];
+ vX_[3636] = vX_[2483] * vX_[101] + vX_[2434] * vX_[88];
+ vX_[1062] = vX_[3636] + vX_[241] * vX_[5] + vX_[262] * vX_[103];
+ vX_[3523] = 0 - vX_[3497] + vX_[1062];
+ vX_[1003] = 0 - vX_[1375];
+ vX_[3469] = 0 - vX_[509];
+ vX_[983] = vX_[262] * vX_[531] + vX_[983] * vX_[479] + vX_[1001] * vX_[61] + vX_[630] * vX_[104] + vX_[981] * vX_[115] + vX_[3428] * vX_[96] + vX_[3423] * vX_[90] + vX_[3523] * vX_[87] + vX_[1375] * vX_[525] + vX_[1003] * vX_[528] + vX_[3469] * vX_[478] + vX_[1001] * vX_[482];
+ vX_[262] = vX_[2331] * -3.44;
+ vX_[1208] = vX_[1022] * 0.1466472;
+ vX_[965] = vX_[2406] * 0.5824264;
+ vX_[3278] = 0 - vX_[262] + vX_[1208] - vX_[965];
+ vX_[260] = vX_[2584] * vX_[115] + vX_[2331] * vX_[90] + vX_[2418] * vX_[87] + vX_[2317] * vX_[525] + vX_[2406] * vX_[476];
+ vX_[1392] = vX_[2138] * vX_[64] + vX_[1009] * vX_[9] + vX_[3278] * vX_[810] + vX_[1392] * vX_[808] - vX_[260] * x_in[33];
+ vX_[2469] = vX_[2564] + vX_[2582] + vX_[2469] - vX_[509] - vX_[1001];
+ vX_[2582] = 0 - vX_[2469];
+ vX_[2428] = vX_[2428] + vX_[2582] * vX_[89];
+ vX_[246] = vX_[246] + vX_[2469] * vX_[5];
+ vX_[2564] = 0 - vX_[981];
+ vX_[254] = 0 - vX_[3423];
+ vX_[2591] = vX_[2594] + vX_[2591] + vX_[2556] + vX_[2555] - vX_[306] - vX_[3636];
+ vX_[1062] = vX_[2591] - vX_[1062];
+ vX_[2594] = 0 - vX_[2458];
+ vX_[994] = 0 - vX_[1375];
+ vX_[256] = 0 - vX_[1001];
+ vX_[3519] = vX_[2552] - vX_[2477];
+ vX_[2562] = vX_[2419] + vX_[2562];
+ vX_[2419] = vX_[3519] * vX_[88] + vX_[2554] * vX_[50];
+ vX_[3733] = vX_[3519] * vX_[101] + vX_[2554] * vX_[88];
+ vX_[2282] = vX_[2437] * 0.1104774 + vX_[2357] * -0.0004405 + vX_[2282] * 0.025941;
+ vX_[3694] = (0 - vX_[2403]) * 8.81e-05;
+ vX_[237] = vX_[3694] + vX_[237];
+ vX_[2405] = vX_[2403] * -0.0004405 + vX_[2437] * -8.81e-05 + vX_[2405] * 0.000468;
+ vX_[237] = vX_[2235] * vX_[839] + vX_[2115] * vX_[836] + vX_[2352] * vX_[832] + vX_[2282] * vX_[838] + vX_[237] * vX_[841] + vX_[237] * vX_[841] + vX_[2405] * x_in[35];
+ vX_[3694] = vX_[3694] + vX_[1667];
+ vX_[2403] = vX_[2403] * -0.1104774 + vX_[2357] * 8.81e-05 + vX_[2229] * 0.026409;
+ jac[1289] = vX_[2144] * vX_[850] + vX_[3779] * vX_[845] + vX_[2403] * vX_[858] + vX_[2405] * vX_[841] + vX_[2253];
+ vX_[2403] = vX_[3195] * vX_[839] + vX_[1844] * vX_[845] + vX_[1700] * vX_[832] + vX_[2282] * vX_[841] + vX_[3694] * vX_[838] + vX_[3694] * vX_[838] - vX_[2403] * x_in[35];
+ vX_[3694] = vX_[1998] * 0.47422804 + vX_[2943] * 0.0825825 + vX_[2091] * 0.081641 + (0 - vX_[2422]) * 2.1e-05 + vX_[2443] * -0.000102;
+ vX_[2282] = (0 - vX_[2091]) * -0.007418;
+ vX_[2285] = vX_[1210] + vX_[2282] - vX_[2285];
+ vX_[1210] = vX_[2438] * vX_[43] + vX_[1998] * vX_[24] + vX_[2943] * vX_[13] + vX_[2422] * vX_[29] + vX_[2443] * vX_[40];
+ vX_[2285] = vX_[655] * -0.35 + vX_[237] * vX_[76] + vX_[2403] * vX_[62] + vX_[1236] * vX_[827] + vX_[2008] * vX_[824] + vX_[1552] * vX_[818] + vX_[3694] * vX_[826] + vX_[2285] * vX_[829] + vX_[2285] * vX_[829] + vX_[1210] * x_in[34];
+ vX_[2282] = vX_[1967] - vX_[2282] - vX_[1995];
+ vX_[1995] = vX_[2438] * vX_[30] + vX_[1998] * vX_[21] + vX_[2943] * vX_[34] + vX_[2422] * vX_[7] + vX_[2443] * vX_[29];
+ jac[1253] = vX_[1744] * vX_[868] + vX_[686] * vX_[835] + vX_[1995] * vX_[865] + vX_[1210] * vX_[829] + vX_[3451];
+ vX_[1995] = vX_[237] * vX_[79] + vX_[2403] * vX_[76] + vX_[461] * vX_[827] + vX_[2347] * vX_[835] + vX_[1683] * vX_[818] + vX_[3694] * vX_[829] + vX_[2282] * vX_[826] + vX_[2282] * vX_[826] - vX_[1995] * x_in[34];
+ vX_[965] = vX_[262] - vX_[1208] + vX_[965];
+ vX_[1208] = vX_[2584] * 0.1466472 + vX_[2418] * 0.5824264 + vX_[1022] * -5.1e-05 + (0 - vX_[2317]) * -0.123672 + (0 - vX_[2406]) * -3.6e-05;
+ vX_[262] = vX_[2317] * -0.022734;
+ vX_[252] = vX_[299] - vX_[252] - vX_[262];
+ vX_[299] = vX_[2584] * vX_[52] + vX_[2331] * vX_[525] + vX_[2418] * vX_[477] + vX_[2317] * vX_[475] + vX_[2406] * vX_[527];
+ vX_[252] = vX_[2285] * vX_[65] + vX_[1995] * vX_[9] + vX_[965] * vX_[809] + vX_[1816] * vX_[812] + vX_[1208] * vX_[810] + vX_[1025] * vX_[808] + vX_[252] * vX_[816] + vX_[252] * vX_[816] - vX_[299] * x_in[33];
+ vX_[2561] = 0 - vX_[2561];
+ vX_[1025] = vX_[3733] + vX_[2474];
+ vX_[1816] = 0 - vX_[2428];
+ vX_[2282] = 0 - vX_[246];
+ vX_[2591] = 0 - vX_[2591] + vX_[3497];
+ vX_[3497] = 0 - vX_[241];
+ jac[569] = 0 - (vX_[2429] * vX_[859] + vX_[2354] * vX_[848] + vX_[2078] * vX_[661] + vX_[2554] * vX_[663] + vX_[2444] * vX_[104] + vX_[2474] * vX_[594] + vX_[2430] * vX_[87] + vX_[2557] * vX_[634] + vX_[2590] * vX_[112] + vX_[2555] * vX_[608] + vX_[2381] * vX_[530] + vX_[2434] * vX_[610] + vX_[2509] * vX_[121] + vX_[2349] * vX_[535] + vX_[2553] * vX_[537] + vX_[2595] * vX_[585] + vX_[2427] * vX_[481] + vX_[2574] * vX_[532] + vX_[1421] * x_in[22] + vX_[3516] * x_in[19] + (vX_[2237] * vX_[859] + vX_[983] * vX_[101] + vX_[1421] * x_in[20]) * -0.3735 - (vX_[2393] * vX_[883] + vX_[1392] * x_in[23]) + (vX_[2354] * vX_[883] + vX_[1392] * x_in[19]) * -0.3735 + (vX_[2382] * vX_[883] + vX_[1568] * vX_[479] + vX_[241] * vX_[531] + vX_[2469] * vX_[114] + vX_[302] * vX_[116] + vX_[2428] * vX_[87] + vX_[246] * vX_[96] + vX_[2564] * vX_[99] + vX_[254] * vX_[115] + vX_[1062] * vX_[104] + vX_[2594] * vX_[477] + vX_[241] * vX_[528] + vX_[994] * vX_[52] + vX_[256] * vX_[484] + vX_[1392] * x_in[18]) * 0.207 - (vX_[2237] * vX_[853] + vX_[3519] * vX_[660] + vX_[2562] * vX_[650] + vX_[2419] * vX_[87] + vX_[3733] * vX_[627] + vX_[2387] * vX_[611] + vX_[2589] * vX_[122] + vX_[2556] * vX_[633] + vX_[1226] * vX_[607] + vX_[2483] * vX_[609] + vX_[2505] * vX_[111] + vX_[959] * vX_[534] + vX_[2572] * vX_[584] + vX_[1827] * vX_[532] + vX_[1631] * vX_[485] + vX_[983] * vX_[102] + vX_[252] * x_in[20])) * vX_[927] + (vX_[2393] * vX_[859] + vX_[2429] * vX_[883] + vX_[2237] * vX_[848] + vX_[2354] * vX_[853] + vX_[3519] * vX_[663] + vX_[2078] * vX_[659] + vX_[2554] * vX_[660] + vX_[2562] * vX_[104] + vX_[2561] * vX_[650] + vX_[2419] * vX_[594] + vX_[1025] * vX_[87] + vX_[2430] * vX_[627] + vX_[2557] * vX_[633] + vX_[2387] * vX_[608] + vX_[2589] * vX_[112] + vX_[2590] * vX_[122] + vX_[2556] * vX_[634] + vX_[2555] * vX_[611] + vX_[1226] * vX_[530] + vX_[2483] * vX_[610] + vX_[2381] * vX_[607] + vX_[2434] * vX_[609] + vX_[2505] * vX_[121] + vX_[2509] * vX_[111] + vX_[959] * vX_[537] + vX_[2349] * vX_[533] + vX_[2553] * vX_[534] + vX_[2572] * vX_[585] + vX_[2592] * vX_[584] + vX_[1827] * vX_[481] + vX_[570] * vX_[532] + vX_[2574] * vX_[485] + vX_[983] * vX_[100] + (vX_[2458] * vX_[529] + vX_[239] * vX_[61] + vX_[1375] * vX_[116] + vX_[2582] * vX_[91] + vX_[509] * vX_[105] + vX_[1816] * vX_[90] + vX_[283] * vX_[99] + vX_[2282] * vX_[87] + vX_[298] * vX_[104] + vX_[2591] * vX_[115] + vX_[2458] * vX_[525] + vX_[3497] * vX_[476] + vX_[1375] * vX_[120] + vX_[509] * vX_[473]) * 0.207 + vX_[1421] * x_in[23] + vX_[1392] * x_in[22] + vX_[3516] * x_in[20] + vX_[252] * x_in[19] + (vX_[2354] * vX_[859] + vX_[983] * vX_[88] + vX_[1421] * x_in[19]) * 0.3735 + (vX_[2382] * vX_[859] + vX_[1421] * x_in[18]) * -0.207 + (vX_[2237] * vX_[883] + vX_[1392] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3519] = vX_[2701] - vX_[2501];
+ vX_[2696] = vX_[2579] + vX_[2696];
+ vX_[2703] = vX_[2569] + vX_[2703];
+ vX_[2569] = 0 - vX_[2703];
+ vX_[2579] = vX_[3519] * vX_[50];
+ vX_[2582] = vX_[3519] * vX_[88];
+ vX_[2699] = vX_[2603] + vX_[2699];
+ vX_[2732] = vX_[2726] + vX_[2732];
+ vX_[2697] = vX_[2475] + vX_[2697];
+ vX_[2533] = vX_[2586] + vX_[2533];
+ vX_[2586] = vX_[2533] * vX_[88] + vX_[2697] * vX_[50];
+ vX_[2475] = vX_[2533] * vX_[101] + vX_[2697] * vX_[88];
+ vX_[2731] = vX_[2716] + vX_[2731];
+ vX_[2580] = 0 - (vX_[2600] + vX_[2580]) + vX_[2731];
+ vX_[2600] = vX_[2724] - vX_[2658];
+ vX_[2695] = vX_[2605] + vX_[2695];
+ vX_[2734] = vX_[2737] + vX_[2734];
+ vX_[2737] = 0 - vX_[2734];
+ vX_[2605] = vX_[2600] * vX_[50];
+ vX_[2716] = vX_[2600] * vX_[88];
+ vX_[2726] = vX_[2606] + vX_[2604] * 0.207;
+ vX_[2603] = vX_[2389] * vX_[822] + vX_[2506] * vX_[88] + vX_[2604] * vX_[820] + vX_[2588] * vX_[821] + vX_[2543] * vX_[5];
+ vX_[2469] = vX_[2604] * vX_[88] + vX_[2588] * vX_[50];
+ vX_[983] = vX_[2726] * vX_[833] + vX_[2603] * vX_[64] + vX_[2469] * vX_[834];
+ vX_[239] = vX_[2726] * vX_[819] + vX_[2603] * vX_[9] + vX_[2469] * vX_[71];
+ vX_[1226] = vX_[983] * 1 / vX_[41];
+ vX_[1568] = vX_[239] * 1 / vX_[41];
+ vX_[2592] = vX_[2469] * 1 / vX_[41];
+ vX_[2572] = vX_[2726] * 1 / vX_[0];
+ vX_[2483] = vX_[2389] * vX_[88] + vX_[2506] * vX_[50] + vX_[2604] * vX_[102] + vX_[2588] * vX_[100] + vX_[2543] * vX_[811];
+ vX_[2556] = vX_[2483] * 1 / vX_[0];
+ vX_[302] = vX_[2603] * 1 / vX_[0];
+ vX_[2505] = vX_[2543] * 1 / vX_[0];
+ vX_[570] = vX_[2469] * 1 / vX_[0];
+ vX_[1631] = vX_[2604] * vX_[101] + vX_[2588] * vX_[88];
+ vX_[1827] = vX_[1631] * 1 / vX_[0];
+ vX_[959] = vX_[2543] - (vX_[2572] * vX_[97] + vX_[2556] * vX_[27] + vX_[302] * vX_[17] + vX_[2505] * vX_[0] + vX_[570] * vX_[110] + vX_[1827] * vX_[119]);
+ vX_[2574] = vX_[959] * vX_[4] + vX_[1631] * vX_[65];
+ vX_[2427] = vX_[2574] * 1 / vX_[41];
+ vX_[2595] = vX_[959] * vX_[65] + vX_[1631] * vX_[9];
+ vX_[2553] = vX_[2595] * 1 / vX_[41];
+ vX_[2349] = vX_[2469] - (vX_[1226] * vX_[26] + vX_[1568] * vX_[44] + vX_[2592] * vX_[41] + vX_[2427] * vX_[32] + vX_[2553] * vX_[69]);
+ vX_[2509] = vX_[983] * vX_[62] + vX_[239] * vX_[76] + vX_[2349] * vX_[77];
+ vX_[2589] = vX_[983] * vX_[76] + vX_[239] * vX_[843] + vX_[2349] * vX_[844];
+ vX_[2434] = vX_[2349] - (vX_[2589] * 38.1956380581338 * 0.1104774 + vX_[2509] * 38.1956380581338 * 0.0004405 + vX_[2349] * 38.1956380581338 * 0.026181);
+ vX_[2381] = vX_[2574] * vX_[76] + vX_[2595] * vX_[79];
+ vX_[2387] = vX_[2509] * 0.881 + (0 - vX_[2434]) * -0.0004405 + vX_[2381] * 8.81e-05;
+ vX_[2555] = vX_[2589] * -0.881;
+ vX_[2590] = vX_[2434] * 0.1104774;
+ vX_[2557] = vX_[2574] * vX_[62] + vX_[2595] * vX_[76];
+ vX_[2554] = vX_[2557] * 8.81e-05;
+ vX_[2078] = vX_[2555] - vX_[2590] + vX_[2554];
+ vX_[3694] = vX_[2387] * vX_[841] + vX_[2078] * vX_[838];
+ vX_[2347] = vX_[239] * 3.146 + (0 - vX_[2349]) * 0.0825825;
+ vX_[1683] = vX_[983] * -3.146;
+ vX_[461] = vX_[2349] * 0.47422804;
+ vX_[1210] = vX_[1683] - vX_[461];
+ vX_[1744] = vX_[3694] + vX_[2347] * vX_[829] + vX_[1210] * vX_[826];
+ vX_[686] = vX_[2603] * 3.44 + vX_[2469] * 0.5824264;
+ vX_[3451] = 0 - vX_[686];
+ vX_[1967] = vX_[2726] * 3.44 + (0 - vX_[2469]) * 0.1466472;
+ vX_[2008] = vX_[2726] * vX_[104] + vX_[2483] * vX_[87] + vX_[2603] * vX_[96] + vX_[2469] * vX_[477] + vX_[1631] * vX_[528];
+ vX_[1552] = vX_[1744] + vX_[3451] * vX_[810] + vX_[1967] * vX_[816] + vX_[2008] * x_in[33];
+ vX_[1236] = 0 - vX_[2387];
+ vX_[2554] = 0 - vX_[2555] + vX_[2590] - vX_[2554];
+ vX_[2590] = vX_[2483] + vX_[959] * 0.08;
+ vX_[2555] = vX_[2590] + vX_[2574] * -0.35;
+ vX_[655] = vX_[2555] * -0.0004405 + vX_[2589] * 8.81e-05 + vX_[2557] * -0.000227999999999999;
+ vX_[1844] = vX_[2555] * 0.1104774 + vX_[2509] * 8.81e-05 + (0 - vX_[2381]) * 0.025713;
+ vX_[1700] = (0 - vX_[2589]) * -0.0004405;
+ vX_[3195] = (0 - vX_[2509]) * 0.1104774;
+ vX_[2405] = vX_[1700] + vX_[3195];
+ vX_[2405] = vX_[1236] * vX_[845] + vX_[2554] * vX_[836] + vX_[655] * vX_[841] + vX_[1844] * vX_[838] + vX_[2405] * vX_[832] + vX_[2405] * vX_[832];
+ vX_[2144] = vX_[2555] * 0.881 + (0 - vX_[2381]) * 0.1104774 + vX_[2557] * -0.0004405;
+ vX_[3779] = vX_[2589] * -0.00185880198235362 + vX_[2509] * 0.880992588508842 + vX_[2381] * 8.81e-05;
+ vX_[1236] = vX_[1236] * vX_[832] + vX_[2144] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[2253] = 0 - vX_[2144];
+ vX_[2229] = vX_[2589] * 0.414812462825713 + vX_[2509] * -0.00185880198235362 + vX_[2557] * -8.81e-05;
+ vX_[2554] = vX_[2554] * vX_[832] + vX_[2253] * vX_[841] - vX_[2229] * x_in[35];
+ vX_[2357] = 0 - vX_[2347];
+ vX_[461] = 0 - vX_[1683] + vX_[461];
+ vX_[1683] = vX_[2590] * 0.0825825 + (0 - vX_[2349]) * -0.000102 + vX_[2574] * -0.007418 + vX_[2595] * 0.002735;
+ vX_[1667] = vX_[2590] * 0.47422804 + vX_[2349] * 2.1e-05 + (0 - vX_[2574]) * 0.084376 + (0 - vX_[2595]) * -0.007418;
+ vX_[2115] = (0 - vX_[983]) * 0.0825825;
+ vX_[2352] = (0 - vX_[239]) * 0.47422804;
+ vX_[2235] = vX_[2574] * -0.000102;
+ vX_[2437] = (0 - vX_[2595]) * 2.1e-05;
+ vX_[3696] = vX_[2115] + vX_[2352] + vX_[2235] + vX_[2437];
+ vX_[3696] = vX_[2405] + vX_[1236] * vX_[844] + vX_[2554] * vX_[77] + vX_[2357] * vX_[835] + vX_[461] * vX_[824] + vX_[1683] * vX_[829] + vX_[1667] * vX_[826] + vX_[3696] * vX_[818] + vX_[3696] * vX_[818];
+ vX_[3731] = vX_[2590] * 3.146 + (0 - vX_[2574]) * 0.47422804 + vX_[2595] * 0.0825825;
+ vX_[3769] = vX_[983] * vX_[73] + vX_[239] * vX_[75] + vX_[2574] * vX_[34] + vX_[2595] * vX_[13];
+ vX_[2357] = vX_[1236] * vX_[76] + vX_[2554] * vX_[62] + vX_[2357] * vX_[818] + vX_[3731] * vX_[826] + vX_[3769] * x_in[34];
+ vX_[220] = 0 - vX_[3731];
+ vX_[229] = vX_[983] * vX_[80] + vX_[239] * vX_[73] + vX_[2574] * vX_[21] + vX_[2595] * vX_[24];
+ vX_[461] = vX_[1236] * vX_[843] + vX_[2554] * vX_[76] + vX_[461] * vX_[818] + vX_[220] * vX_[829] - vX_[229] * x_in[34];
+ vX_[3623] = 0 - vX_[1967];
+ vX_[3344] = vX_[2483] * 0.5824264 + (0 - vX_[959]) * -0.022734 + vX_[2469] * -3.6e-05 + vX_[1631] * -0.133138;
+ vX_[3773] = vX_[2483] * 0.1466472 + vX_[959] * 0.009466 + (0 - vX_[2469]) * -5.1e-05 + vX_[1631] * -0.022734;
+ vX_[3727] = (0 - vX_[2726]) * 0.5824264;
+ vX_[3759] = (0 - vX_[2603]) * 0.1466472;
+ vX_[3764] = (0 - vX_[959]) * -3.6e-05;
+ vX_[3775] = (0 - vX_[1631]) * -5.1e-05;
+ vX_[3736] = vX_[3727] + vX_[3759] + vX_[3764] - vX_[3775];
+ vX_[3762] = vX_[2726] * vX_[120] + vX_[2483] * vX_[476] + vX_[2603] * vX_[528] + vX_[2469] * vX_[527] + vX_[1631] * vX_[53];
+ vX_[3736] = vX_[3696] + vX_[2357] * vX_[834] + vX_[461] * vX_[71] + vX_[686] * vX_[809] + vX_[3623] * vX_[823] + vX_[3344] * vX_[810] + vX_[3773] * vX_[816] + vX_[3736] * vX_[808] + vX_[3736] * vX_[808] + vX_[3762] * x_in[33];
+ vX_[3763] = vX_[2706] - vX_[2658];
+ vX_[3770] = vX_[3763] * vX_[88] + vX_[2695] * vX_[50];
+ vX_[3707] = vX_[3763] * vX_[101] + vX_[2695] * vX_[88];
+ vX_[268] = vX_[3707] + vX_[2605];
+ vX_[3638] = vX_[3770] * vX_[101] + vX_[268] * vX_[88] + vX_[2716] * vX_[50];
+ vX_[3572] = 0 - vX_[3638];
+ vX_[3580] = vX_[2658] + vX_[3770] * vX_[88] + vX_[2605] * vX_[50];
+ vX_[3679] = 0 - vX_[3580];
+ vX_[3680] = vX_[2658] + vX_[3707] * vX_[101] + vX_[2716] * vX_[88];
+ vX_[2581] = vX_[2602] + vX_[2581] - vX_[2732];
+ vX_[2602] = vX_[2731] * vX_[88] + vX_[2732] * vX_[50];
+ vX_[3681] = 0 - (vX_[2581] * vX_[101] + vX_[2580] * vX_[88]) + vX_[2602];
+ vX_[926] = vX_[3681] + vX_[3580] * vX_[89];
+ vX_[924] = 0 - vX_[926];
+ vX_[921] = vX_[2731] * vX_[101] + vX_[2732] * vX_[88];
+ vX_[896] = vX_[2581] * vX_[88] + vX_[2580] * vX_[50] + vX_[921];
+ vX_[815] = 0 - vX_[3680];
+ vX_[540] = vX_[896] + vX_[3638] * vX_[89] + vX_[815] * vX_[5];
+ vX_[2698] = vX_[2560] + vX_[2698];
+ vX_[2560] = vX_[2699] * vX_[88] + vX_[2698] * vX_[101];
+ vX_[218] = vX_[2560] * vX_[88] + vX_[2475] * vX_[50];
+ vX_[2714] = vX_[2610] + vX_[2714];
+ vX_[2734] = 0 - vX_[2734];
+ vX_[2610] = vX_[2714] * vX_[101] + vX_[2734] * vX_[88];
+ vX_[228] = 0 - vX_[2610];
+ vX_[227] = vX_[218] + vX_[228] * vX_[5] + vX_[3679] * vX_[103];
+ vX_[219] = 0 - vX_[227];
+ vX_[217] = vX_[2699] * vX_[50] + vX_[2698] * vX_[88];
+ vX_[216] = vX_[217] * vX_[101] + vX_[2586] * vX_[88];
+ vX_[161] = vX_[2714] * vX_[88] + vX_[2737] * vX_[50];
+ vX_[204] = 0 - vX_[161];
+ vX_[203] = vX_[216] + vX_[204] * vX_[89] + vX_[3680] * vX_[103];
+ vX_[202] = vX_[217] * vX_[88] + vX_[2586] * vX_[50];
+ vX_[201] = vX_[202] + vX_[2610] * vX_[89];
+ vX_[192] = vX_[2560] * vX_[101] + vX_[2475] * vX_[88];
+ vX_[144] = vX_[192] + vX_[161] * vX_[5] + vX_[3572] * vX_[103];
+ vX_[191] = 0 - vX_[201] + vX_[144];
+ vX_[190] = 0 - vX_[3638];
+ vX_[189] = 0 - vX_[3580];
+ vX_[3679] = vX_[3572] * vX_[531] + vX_[3679] * vX_[479] + vX_[3680] * vX_[61] + vX_[924] * vX_[104] + vX_[540] * vX_[115] + vX_[219] * vX_[96] + vX_[203] * vX_[90] + vX_[191] * vX_[87] + vX_[3638] * vX_[525] + vX_[190] * vX_[528] + vX_[189] * vX_[478] + vX_[3680] * vX_[482];
+ vX_[3572] = vX_[2483] * -3.44;
+ vX_[186] = vX_[959] * 0.1466472;
+ vX_[185] = vX_[1631] * 0.5824264;
+ vX_[175] = 0 - vX_[3572] + vX_[186] - vX_[185];
+ vX_[171] = vX_[2726] * vX_[115] + vX_[2483] * vX_[90] + vX_[2603] * vX_[87] + vX_[2469] * vX_[525] + vX_[1631] * vX_[476];
+ vX_[3623] = vX_[2357] * vX_[64] + vX_[461] * vX_[9] + vX_[175] * vX_[810] + vX_[3623] * vX_[808] - vX_[171] * x_in[33];
+ vX_[2658] = vX_[2706] + vX_[2724] + vX_[2658] - vX_[3580] - vX_[3680];
+ vX_[2724] = 0 - vX_[2658];
+ vX_[2602] = vX_[2602] + vX_[2724] * vX_[89];
+ vX_[921] = vX_[921] + vX_[2658] * vX_[5];
+ vX_[2706] = 0 - vX_[540];
+ vX_[174] = 0 - vX_[203];
+ vX_[2733] = vX_[2736] + vX_[2733] + vX_[2698] + vX_[2697] - vX_[202] - vX_[192];
+ vX_[144] = vX_[2733] - vX_[144];
+ vX_[2736] = 0 - vX_[2610];
+ vX_[173] = 0 - vX_[3638];
+ vX_[172] = 0 - vX_[3680];
+ vX_[166] = vX_[2694] - vX_[2501];
+ vX_[2704] = vX_[2585] + vX_[2704];
+ vX_[2585] = vX_[166] * vX_[88] + vX_[2696] * vX_[50];
+ vX_[142] = vX_[166] * vX_[101] + vX_[2696] * vX_[88];
+ vX_[2434] = vX_[2589] * 0.1104774 + vX_[2509] * -0.0004405 + vX_[2434] * 0.025941;
+ vX_[165] = (0 - vX_[2555]) * 8.81e-05;
+ vX_[3195] = vX_[165] + vX_[3195];
+ vX_[2557] = vX_[2555] * -0.0004405 + vX_[2589] * -8.81e-05 + vX_[2557] * 0.000468;
+ vX_[3195] = vX_[2387] * vX_[839] + vX_[2253] * vX_[836] + vX_[655] * vX_[832] + vX_[2434] * vX_[838] + vX_[3195] * vX_[841] + vX_[3195] * vX_[841] + vX_[2557] * x_in[35];
+ vX_[165] = vX_[165] + vX_[1700];
+ vX_[2555] = vX_[2555] * -0.1104774 + vX_[2509] * 8.81e-05 + vX_[2381] * 0.026409;
+ jac[1290] = vX_[2229] * vX_[850] + vX_[3779] * vX_[845] + vX_[2555] * vX_[858] + vX_[2557] * vX_[841] + vX_[2405];
+ vX_[2555] = vX_[2078] * vX_[839] + vX_[2144] * vX_[845] + vX_[1844] * vX_[832] + vX_[2434] * vX_[841] + vX_[165] * vX_[838] + vX_[165] * vX_[838] - vX_[2555] * x_in[35];
+ vX_[165] = vX_[983] * 0.47422804 + vX_[239] * 0.0825825 + vX_[2349] * 0.081641 + (0 - vX_[2574]) * 2.1e-05 + vX_[2595] * -0.000102;
+ vX_[2434] = (0 - vX_[2349]) * -0.007418;
+ vX_[2437] = vX_[2352] + vX_[2434] - vX_[2437];
+ vX_[2352] = vX_[2590] * vX_[43] + vX_[983] * vX_[24] + vX_[239] * vX_[13] + vX_[2574] * vX_[29] + vX_[2595] * vX_[40];
+ vX_[2437] = vX_[3694] * -0.35 + vX_[3195] * vX_[76] + vX_[2555] * vX_[62] + vX_[2347] * vX_[827] + vX_[220] * vX_[824] + vX_[1683] * vX_[818] + vX_[165] * vX_[826] + vX_[2437] * vX_[829] + vX_[2437] * vX_[829] + vX_[2352] * x_in[34];
+ vX_[2434] = vX_[2115] - vX_[2434] - vX_[2235];
+ vX_[2235] = vX_[2590] * vX_[30] + vX_[983] * vX_[21] + vX_[239] * vX_[34] + vX_[2574] * vX_[7] + vX_[2595] * vX_[29];
+ jac[1254] = vX_[229] * vX_[868] + vX_[3769] * vX_[835] + vX_[2235] * vX_[865] + vX_[2352] * vX_[829] + vX_[3696];
+ vX_[2235] = vX_[3195] * vX_[79] + vX_[2555] * vX_[76] + vX_[1210] * vX_[827] + vX_[3731] * vX_[835] + vX_[1667] * vX_[818] + vX_[165] * vX_[829] + vX_[2434] * vX_[826] + vX_[2434] * vX_[826] - vX_[2235] * x_in[34];
+ vX_[185] = vX_[3572] - vX_[186] + vX_[185];
+ vX_[186] = vX_[2726] * 0.1466472 + vX_[2603] * 0.5824264 + vX_[959] * -5.1e-05 + (0 - vX_[2469]) * -0.123672 + (0 - vX_[1631]) * -3.6e-05;
+ vX_[3572] = vX_[2469] * -0.022734;
+ vX_[3764] = vX_[3727] - vX_[3764] - vX_[3572];
+ vX_[3727] = vX_[2726] * vX_[52] + vX_[2483] * vX_[525] + vX_[2603] * vX_[477] + vX_[2469] * vX_[475] + vX_[1631] * vX_[527];
+ vX_[3764] = vX_[2437] * vX_[65] + vX_[2235] * vX_[9] + vX_[185] * vX_[809] + vX_[1967] * vX_[812] + vX_[186] * vX_[810] + vX_[3773] * vX_[808] + vX_[3764] * vX_[816] + vX_[3764] * vX_[816] - vX_[3727] * x_in[33];
+ vX_[2703] = 0 - vX_[2703];
+ vX_[3773] = vX_[142] + vX_[2579];
+ vX_[1967] = 0 - vX_[2602];
+ vX_[2434] = 0 - vX_[921];
+ vX_[2733] = 0 - vX_[2733] + vX_[201];
+ vX_[201] = 0 - vX_[161];
+ jac[570] = 0 - (vX_[2506] * vX_[859] + vX_[2588] * vX_[848] + vX_[3519] * vX_[661] + vX_[2696] * vX_[663] + vX_[2569] * vX_[104] + vX_[2579] * vX_[594] + vX_[2582] * vX_[87] + vX_[2699] * vX_[634] + vX_[2732] * vX_[112] + vX_[2697] * vX_[608] + vX_[2586] * vX_[530] + vX_[2475] * vX_[610] + vX_[2580] * vX_[121] + vX_[2600] * vX_[535] + vX_[2695] * vX_[537] + vX_[2737] * vX_[585] + vX_[2605] * vX_[481] + vX_[2716] * vX_[532] + vX_[1552] * x_in[22] + vX_[3736] * x_in[19] + (vX_[2604] * vX_[859] + vX_[3679] * vX_[101] + vX_[1552] * x_in[20]) * -0.3735 - (vX_[2389] * vX_[883] + vX_[3623] * x_in[23]) + (vX_[2588] * vX_[883] + vX_[3623] * x_in[19]) * -0.3735 + (vX_[2543] * vX_[883] + vX_[228] * vX_[479] + vX_[161] * vX_[531] + vX_[2658] * vX_[114] + vX_[815] * vX_[116] + vX_[2602] * vX_[87] + vX_[921] * vX_[96] + vX_[2706] * vX_[99] + vX_[174] * vX_[115] + vX_[144] * vX_[104] + vX_[2736] * vX_[477] + vX_[161] * vX_[528] + vX_[173] * vX_[52] + vX_[172] * vX_[484] + vX_[3623] * x_in[18]) * 0.207 - (vX_[2604] * vX_[853] + vX_[166] * vX_[660] + vX_[2704] * vX_[650] + vX_[2585] * vX_[87] + vX_[142] * vX_[627] + vX_[2533] * vX_[611] + vX_[2731] * vX_[122] + vX_[2698] * vX_[633] + vX_[217] * vX_[607] + vX_[2560] * vX_[609] + vX_[2581] * vX_[111] + vX_[3763] * vX_[534] + vX_[2714] * vX_[584] + vX_[3770] * vX_[532] + vX_[3707] * vX_[485] + vX_[3679] * vX_[102] + vX_[3764] * x_in[20])) * vX_[927] + (vX_[2389] * vX_[859] + vX_[2506] * vX_[883] + vX_[2604] * vX_[848] + vX_[2588] * vX_[853] + vX_[166] * vX_[663] + vX_[3519] * vX_[659] + vX_[2696] * vX_[660] + vX_[2704] * vX_[104] + vX_[2703] * vX_[650] + vX_[2585] * vX_[594] + vX_[3773] * vX_[87] + vX_[2582] * vX_[627] + vX_[2699] * vX_[633] + vX_[2533] * vX_[608] + vX_[2731] * vX_[112] + vX_[2732] * vX_[122] + vX_[2698] * vX_[634] + vX_[2697] * vX_[611] + vX_[217] * vX_[530] + vX_[2560] * vX_[610] + vX_[2586] * vX_[607] + vX_[2475] * vX_[609] + vX_[2581] * vX_[121] + vX_[2580] * vX_[111] + vX_[3763] * vX_[537] + vX_[2600] * vX_[533] + vX_[2695] * vX_[534] + vX_[2714] * vX_[585] + vX_[2734] * vX_[584] + vX_[3770] * vX_[481] + vX_[268] * vX_[532] + vX_[2716] * vX_[485] + vX_[3679] * vX_[100] + (vX_[2610] * vX_[529] + vX_[204] * vX_[61] + vX_[3638] * vX_[116] + vX_[2724] * vX_[91] + vX_[3580] * vX_[105] + vX_[1967] * vX_[90] + vX_[926] * vX_[99] + vX_[2434] * vX_[87] + vX_[227] * vX_[104] + vX_[2733] * vX_[115] + vX_[2610] * vX_[525] + vX_[201] * vX_[476] + vX_[3638] * vX_[120] + vX_[3580] * vX_[473]) * 0.207 + vX_[1552] * x_in[23] + vX_[3623] * x_in[22] + vX_[3736] * x_in[20] + vX_[3764] * x_in[19] + (vX_[2588] * vX_[859] + vX_[3679] * vX_[88] + vX_[1552] * x_in[19]) * 0.3735 + (vX_[2543] * vX_[859] + vX_[1552] * x_in[18]) * -0.207 + (vX_[2604] * vX_[883] + vX_[3623] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[166] = vX_[2851] - vX_[2800];
+ vX_[2846] = vX_[2777] + vX_[2846];
+ vX_[2853] = vX_[2675] + vX_[2853];
+ vX_[2675] = 0 - vX_[2853];
+ vX_[2777] = vX_[166] * vX_[50];
+ vX_[2724] = vX_[166] * vX_[88];
+ vX_[2849] = vX_[2721] + vX_[2849];
+ vX_[2882] = vX_[2876] + vX_[2882];
+ vX_[2847] = vX_[2727] + vX_[2847];
+ vX_[2769] = vX_[2713] + vX_[2769];
+ vX_[2713] = vX_[2769] * vX_[88] + vX_[2847] * vX_[50];
+ vX_[2727] = vX_[2769] * vX_[101] + vX_[2847] * vX_[88];
+ vX_[2881] = vX_[2866] + vX_[2881];
+ vX_[2687] = 0 - (vX_[2712] + vX_[2687]) + vX_[2881];
+ vX_[2712] = vX_[2874] - vX_[2683];
+ vX_[2845] = vX_[2702] + vX_[2845];
+ vX_[2884] = vX_[2887] + vX_[2884];
+ vX_[2887] = 0 - vX_[2884];
+ vX_[2702] = vX_[2712] * vX_[50];
+ vX_[2866] = vX_[2712] * vX_[88];
+ vX_[2876] = vX_[2728] + vX_[2711] * 0.207;
+ vX_[2721] = vX_[2738] * vX_[822] + vX_[2545] * vX_[88] + vX_[2711] * vX_[820] + vX_[2742] * vX_[821] + vX_[2678] * vX_[5];
+ vX_[2658] = vX_[2711] * vX_[88] + vX_[2742] * vX_[50];
+ vX_[3679] = vX_[2876] * vX_[833] + vX_[2721] * vX_[64] + vX_[2658] * vX_[834];
+ vX_[204] = vX_[2876] * vX_[819] + vX_[2721] * vX_[9] + vX_[2658] * vX_[71];
+ vX_[217] = vX_[3679] * 1 / vX_[41];
+ vX_[228] = vX_[204] * 1 / vX_[41];
+ vX_[2734] = vX_[2658] * 1 / vX_[41];
+ vX_[2714] = vX_[2876] * 1 / vX_[0];
+ vX_[2560] = vX_[2738] * vX_[88] + vX_[2545] * vX_[50] + vX_[2711] * vX_[102] + vX_[2742] * vX_[100] + vX_[2678] * vX_[811];
+ vX_[2698] = vX_[2560] * 1 / vX_[0];
+ vX_[815] = vX_[2721] * 1 / vX_[0];
+ vX_[2581] = vX_[2678] * 1 / vX_[0];
+ vX_[268] = vX_[2658] * 1 / vX_[0];
+ vX_[3707] = vX_[2711] * vX_[101] + vX_[2742] * vX_[88];
+ vX_[3770] = vX_[3707] * 1 / vX_[0];
+ vX_[3763] = vX_[2678] - (vX_[2714] * vX_[97] + vX_[2698] * vX_[27] + vX_[815] * vX_[17] + vX_[2581] * vX_[0] + vX_[268] * vX_[110] + vX_[3770] * vX_[119]);
+ vX_[2716] = vX_[3763] * vX_[4] + vX_[3707] * vX_[65];
+ vX_[2605] = vX_[2716] * 1 / vX_[41];
+ vX_[2737] = vX_[3763] * vX_[65] + vX_[3707] * vX_[9];
+ vX_[2695] = vX_[2737] * 1 / vX_[41];
+ vX_[2600] = vX_[2658] - (vX_[217] * vX_[26] + vX_[228] * vX_[44] + vX_[2734] * vX_[41] + vX_[2605] * vX_[32] + vX_[2695] * vX_[69]);
+ vX_[2580] = vX_[3679] * vX_[62] + vX_[204] * vX_[76] + vX_[2600] * vX_[77];
+ vX_[2731] = vX_[3679] * vX_[76] + vX_[204] * vX_[843] + vX_[2600] * vX_[844];
+ vX_[2475] = vX_[2600] - (vX_[2731] * 38.1956380581338 * 0.1104774 + vX_[2580] * 38.1956380581338 * 0.0004405 + vX_[2600] * 38.1956380581338 * 0.026181);
+ vX_[2586] = vX_[2716] * vX_[76] + vX_[2737] * vX_[79];
+ vX_[2533] = vX_[2580] * 0.881 + (0 - vX_[2475]) * -0.0004405 + vX_[2586] * 8.81e-05;
+ vX_[2697] = vX_[2731] * -0.881;
+ vX_[2732] = vX_[2475] * 0.1104774;
+ vX_[2699] = vX_[2716] * vX_[62] + vX_[2737] * vX_[76];
+ vX_[2696] = vX_[2699] * 8.81e-05;
+ vX_[3519] = vX_[2697] - vX_[2732] + vX_[2696];
+ vX_[165] = vX_[2533] * vX_[841] + vX_[3519] * vX_[838];
+ vX_[3731] = vX_[204] * 3.146 + (0 - vX_[2600]) * 0.0825825;
+ vX_[1667] = vX_[3679] * -3.146;
+ vX_[1210] = vX_[2600] * 0.47422804;
+ vX_[2352] = vX_[1667] - vX_[1210];
+ vX_[229] = vX_[165] + vX_[3731] * vX_[829] + vX_[2352] * vX_[826];
+ vX_[3769] = vX_[2721] * 3.44 + vX_[2658] * 0.5824264;
+ vX_[3696] = 0 - vX_[3769];
+ vX_[2115] = vX_[2876] * 3.44 + (0 - vX_[2658]) * 0.1466472;
+ vX_[220] = vX_[2876] * vX_[104] + vX_[2560] * vX_[87] + vX_[2721] * vX_[96] + vX_[2658] * vX_[477] + vX_[3707] * vX_[528];
+ vX_[1683] = vX_[229] + vX_[3696] * vX_[810] + vX_[2115] * vX_[816] + vX_[220] * x_in[33];
+ vX_[2347] = 0 - vX_[2533];
+ vX_[2696] = 0 - vX_[2697] + vX_[2732] - vX_[2696];
+ vX_[2732] = vX_[2560] + vX_[3763] * 0.08;
+ vX_[2697] = vX_[2732] + vX_[2716] * -0.35;
+ vX_[3694] = vX_[2697] * -0.0004405 + vX_[2731] * 8.81e-05 + vX_[2699] * -0.000227999999999999;
+ vX_[2144] = vX_[2697] * 0.1104774 + vX_[2580] * 8.81e-05 + (0 - vX_[2586]) * 0.025713;
+ vX_[1844] = (0 - vX_[2731]) * -0.0004405;
+ vX_[2078] = (0 - vX_[2580]) * 0.1104774;
+ vX_[2557] = vX_[1844] + vX_[2078];
+ vX_[2557] = vX_[2347] * vX_[845] + vX_[2696] * vX_[836] + vX_[3694] * vX_[841] + vX_[2144] * vX_[838] + vX_[2557] * vX_[832] + vX_[2557] * vX_[832];
+ vX_[2229] = vX_[2697] * 0.881 + (0 - vX_[2586]) * 0.1104774 + vX_[2699] * -0.0004405;
+ vX_[3779] = vX_[2731] * -0.00185880198235362 + vX_[2580] * 0.880992588508842 + vX_[2586] * 8.81e-05;
+ vX_[2347] = vX_[2347] * vX_[832] + vX_[2229] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[2405] = 0 - vX_[2229];
+ vX_[2381] = vX_[2731] * 0.414812462825713 + vX_[2580] * -0.00185880198235362 + vX_[2699] * -8.81e-05;
+ vX_[2696] = vX_[2696] * vX_[832] + vX_[2405] * vX_[841] - vX_[2381] * x_in[35];
+ vX_[2509] = 0 - vX_[3731];
+ vX_[1210] = 0 - vX_[1667] + vX_[1210];
+ vX_[1667] = vX_[2732] * 0.0825825 + (0 - vX_[2600]) * -0.000102 + vX_[2716] * -0.007418 + vX_[2737] * 0.002735;
+ vX_[1700] = vX_[2732] * 0.47422804 + vX_[2600] * 2.1e-05 + (0 - vX_[2716]) * 0.084376 + (0 - vX_[2737]) * -0.007418;
+ vX_[2253] = (0 - vX_[3679]) * 0.0825825;
+ vX_[655] = (0 - vX_[204]) * 0.47422804;
+ vX_[2387] = vX_[2716] * -0.000102;
+ vX_[2589] = (0 - vX_[2737]) * 2.1e-05;
+ vX_[162] = vX_[2253] + vX_[655] + vX_[2387] + vX_[2589];
+ vX_[162] = vX_[2557] + vX_[2347] * vX_[844] + vX_[2696] * vX_[77] + vX_[2509] * vX_[835] + vX_[1210] * vX_[824] + vX_[1667] * vX_[829] + vX_[1700] * vX_[826] + vX_[162] * vX_[818] + vX_[162] * vX_[818];
+ vX_[151] = vX_[2732] * 3.146 + (0 - vX_[2716]) * 0.47422804 + vX_[2737] * 0.0825825;
+ vX_[160] = vX_[3679] * vX_[73] + vX_[204] * vX_[75] + vX_[2716] * vX_[34] + vX_[2737] * vX_[13];
+ vX_[2509] = vX_[2347] * vX_[76] + vX_[2696] * vX_[62] + vX_[2509] * vX_[818] + vX_[151] * vX_[826] + vX_[160] * x_in[34];
+ vX_[156] = 0 - vX_[151];
+ vX_[155] = vX_[3679] * vX_[80] + vX_[204] * vX_[73] + vX_[2716] * vX_[21] + vX_[2737] * vX_[24];
+ vX_[1210] = vX_[2347] * vX_[843] + vX_[2696] * vX_[76] + vX_[1210] * vX_[818] + vX_[156] * vX_[829] - vX_[155] * x_in[34];
+ vX_[154] = 0 - vX_[2115];
+ vX_[150] = vX_[2560] * 0.5824264 + (0 - vX_[3763]) * -0.022734 + vX_[2658] * -3.6e-05 + vX_[3707] * -0.133138;
+ vX_[149] = vX_[2560] * 0.1466472 + vX_[3763] * 0.009466 + (0 - vX_[2658]) * -5.1e-05 + vX_[3707] * -0.022734;
+ vX_[147] = (0 - vX_[2876]) * 0.5824264;
+ vX_[3728] = (0 - vX_[2721]) * 0.1466472;
+ vX_[3569] = (0 - vX_[3763]) * -3.6e-05;
+ vX_[3498] = (0 - vX_[3707]) * -5.1e-05;
+ vX_[975] = vX_[147] + vX_[3728] + vX_[3569] - vX_[3498];
+ vX_[731] = vX_[2876] * vX_[120] + vX_[2560] * vX_[476] + vX_[2721] * vX_[528] + vX_[2658] * vX_[527] + vX_[3707] * vX_[53];
+ vX_[975] = vX_[162] + vX_[2509] * vX_[834] + vX_[1210] * vX_[71] + vX_[3769] * vX_[809] + vX_[154] * vX_[823] + vX_[150] * vX_[810] + vX_[149] * vX_[816] + vX_[975] * vX_[808] + vX_[975] * vX_[808] + vX_[731] * x_in[33];
+ vX_[948] = vX_[2856] - vX_[2683];
+ vX_[936] = vX_[948] * vX_[88] + vX_[2845] * vX_[50];
+ vX_[885] = vX_[948] * vX_[101] + vX_[2845] * vX_[88];
+ vX_[947] = vX_[885] + vX_[2702];
+ vX_[939] = vX_[936] * vX_[101] + vX_[947] * vX_[88] + vX_[2866] * vX_[50];
+ vX_[923] = 0 - vX_[939];
+ vX_[194] = vX_[2683] + vX_[936] * vX_[88] + vX_[2702] * vX_[50];
+ vX_[168] = 0 - vX_[194];
+ vX_[158] = vX_[2683] + vX_[885] * vX_[101] + vX_[2866] * vX_[88];
+ vX_[2771] = vX_[2626] + vX_[2771] - vX_[2882];
+ vX_[2626] = vX_[2881] * vX_[88] + vX_[2882] * vX_[50];
+ vX_[3721] = 0 - (vX_[2771] * vX_[101] + vX_[2687] * vX_[88]) + vX_[2626];
+ vX_[972] = vX_[3721] + vX_[194] * vX_[89];
+ vX_[932] = 0 - vX_[972];
+ vX_[213] = vX_[2881] * vX_[101] + vX_[2882] * vX_[88];
+ vX_[198] = vX_[2771] * vX_[88] + vX_[2687] * vX_[50] + vX_[213];
+ vX_[3745] = 0 - vX_[158];
+ vX_[3730] = vX_[198] + vX_[939] * vX_[89] + vX_[3745] * vX_[5];
+ vX_[2848] = vX_[2723] + vX_[2848];
+ vX_[2723] = vX_[2849] * vX_[88] + vX_[2848] * vX_[101];
+ vX_[3708] = vX_[2723] * vX_[88] + vX_[2727] * vX_[50];
+ vX_[2864] = vX_[2781] + vX_[2864];
+ vX_[2884] = 0 - vX_[2884];
+ vX_[2781] = vX_[2864] * vX_[101] + vX_[2884] * vX_[88];
+ vX_[933] = 0 - vX_[2781];
+ vX_[3717] = vX_[3708] + vX_[933] * vX_[5] + vX_[168] * vX_[103];
+ vX_[3772] = 0 - vX_[3717];
+ vX_[3771] = vX_[2849] * vX_[50] + vX_[2848] * vX_[88];
+ vX_[358] = vX_[3771] * vX_[101] + vX_[2713] * vX_[88];
+ vX_[3735] = vX_[2864] * vX_[88] + vX_[2887] * vX_[50];
+ vX_[3706] = 0 - vX_[3735];
+ vX_[3724] = vX_[358] + vX_[3706] * vX_[89] + vX_[158] * vX_[103];
+ vX_[3668] = vX_[3771] * vX_[88] + vX_[2713] * vX_[50];
+ vX_[3524] = vX_[3668] + vX_[2781] * vX_[89];
+ vX_[1218] = vX_[2723] * vX_[101] + vX_[2727] * vX_[88];
+ vX_[978] = vX_[1218] + vX_[3735] * vX_[5] + vX_[923] * vX_[103];
+ vX_[3575] = 0 - vX_[3524] + vX_[978];
+ vX_[3683] = 0 - vX_[939];
+ vX_[3527] = 0 - vX_[194];
+ vX_[168] = vX_[923] * vX_[531] + vX_[168] * vX_[479] + vX_[158] * vX_[61] + vX_[932] * vX_[104] + vX_[3730] * vX_[115] + vX_[3772] * vX_[96] + vX_[3724] * vX_[90] + vX_[3575] * vX_[87] + vX_[939] * vX_[525] + vX_[3683] * vX_[528] + vX_[3527] * vX_[478] + vX_[158] * vX_[482];
+ vX_[923] = vX_[2560] * -3.44;
+ vX_[3570] = vX_[3763] * 0.1466472;
+ vX_[2372] = vX_[3707] * 0.5824264;
+ vX_[2321] = 0 - vX_[923] + vX_[3570] - vX_[2372];
+ vX_[3687] = vX_[2876] * vX_[115] + vX_[2560] * vX_[90] + vX_[2721] * vX_[87] + vX_[2658] * vX_[525] + vX_[3707] * vX_[476];
+ vX_[154] = vX_[2509] * vX_[64] + vX_[1210] * vX_[9] + vX_[2321] * vX_[810] + vX_[154] * vX_[808] - vX_[3687] * x_in[33];
+ vX_[2683] = vX_[2856] + vX_[2874] + vX_[2683] - vX_[194] - vX_[158];
+ vX_[2874] = 0 - vX_[2683];
+ vX_[2626] = vX_[2626] + vX_[2874] * vX_[89];
+ vX_[213] = vX_[213] + vX_[2683] * vX_[5];
+ vX_[2856] = 0 - vX_[3730];
+ vX_[984] = 0 - vX_[3724];
+ vX_[2883] = vX_[2886] + vX_[2883] + vX_[2848] + vX_[2847] - vX_[3668] - vX_[1218];
+ vX_[978] = vX_[2883] - vX_[978];
+ vX_[2886] = 0 - vX_[2781];
+ vX_[3673] = 0 - vX_[939];
+ vX_[3678] = 0 - vX_[158];
+ vX_[3689] = vX_[2844] - vX_[2800];
+ vX_[2854] = vX_[2722] + vX_[2854];
+ vX_[2722] = vX_[3689] * vX_[88] + vX_[2846] * vX_[50];
+ vX_[3647] = vX_[3689] * vX_[101] + vX_[2846] * vX_[88];
+ vX_[2475] = vX_[2731] * 0.1104774 + vX_[2580] * -0.0004405 + vX_[2475] * 0.025941;
+ vX_[3676] = (0 - vX_[2697]) * 8.81e-05;
+ vX_[2078] = vX_[3676] + vX_[2078];
+ vX_[2699] = vX_[2697] * -0.0004405 + vX_[2731] * -8.81e-05 + vX_[2699] * 0.000468;
+ vX_[2078] = vX_[2533] * vX_[839] + vX_[2405] * vX_[836] + vX_[3694] * vX_[832] + vX_[2475] * vX_[838] + vX_[2078] * vX_[841] + vX_[2078] * vX_[841] + vX_[2699] * x_in[35];
+ vX_[3676] = vX_[3676] + vX_[1844];
+ vX_[2697] = vX_[2697] * -0.1104774 + vX_[2580] * 8.81e-05 + vX_[2586] * 0.026409;
+ jac[1291] = vX_[2381] * vX_[850] + vX_[3779] * vX_[845] + vX_[2697] * vX_[858] + vX_[2699] * vX_[841] + vX_[2557];
+ vX_[2697] = vX_[3519] * vX_[839] + vX_[2229] * vX_[845] + vX_[2144] * vX_[832] + vX_[2475] * vX_[841] + vX_[3676] * vX_[838] + vX_[3676] * vX_[838] - vX_[2697] * x_in[35];
+ vX_[3676] = vX_[3679] * 0.47422804 + vX_[204] * 0.0825825 + vX_[2600] * 0.081641 + (0 - vX_[2716]) * 2.1e-05 + vX_[2737] * -0.000102;
+ vX_[2475] = (0 - vX_[2600]) * -0.007418;
+ vX_[2589] = vX_[655] + vX_[2475] - vX_[2589];
+ vX_[655] = vX_[2732] * vX_[43] + vX_[3679] * vX_[24] + vX_[204] * vX_[13] + vX_[2716] * vX_[29] + vX_[2737] * vX_[40];
+ vX_[2589] = vX_[165] * -0.35 + vX_[2078] * vX_[76] + vX_[2697] * vX_[62] + vX_[3731] * vX_[827] + vX_[156] * vX_[824] + vX_[1667] * vX_[818] + vX_[3676] * vX_[826] + vX_[2589] * vX_[829] + vX_[2589] * vX_[829] + vX_[655] * x_in[34];
+ vX_[2475] = vX_[2253] - vX_[2475] - vX_[2387];
+ vX_[2387] = vX_[2732] * vX_[30] + vX_[3679] * vX_[21] + vX_[204] * vX_[34] + vX_[2716] * vX_[7] + vX_[2737] * vX_[29];
+ jac[1255] = vX_[155] * vX_[868] + vX_[160] * vX_[835] + vX_[2387] * vX_[865] + vX_[655] * vX_[829] + vX_[162];
+ vX_[2387] = vX_[2078] * vX_[79] + vX_[2697] * vX_[76] + vX_[2352] * vX_[827] + vX_[151] * vX_[835] + vX_[1700] * vX_[818] + vX_[3676] * vX_[829] + vX_[2475] * vX_[826] + vX_[2475] * vX_[826] - vX_[2387] * x_in[34];
+ vX_[2372] = vX_[923] - vX_[3570] + vX_[2372];
+ vX_[3570] = vX_[2876] * 0.1466472 + vX_[2721] * 0.5824264 + vX_[3763] * -5.1e-05 + (0 - vX_[2658]) * -0.123672 + (0 - vX_[3707]) * -3.6e-05;
+ vX_[923] = vX_[2658] * -0.022734;
+ vX_[3569] = vX_[147] - vX_[3569] - vX_[923];
+ vX_[147] = vX_[2876] * vX_[52] + vX_[2560] * vX_[525] + vX_[2721] * vX_[477] + vX_[2658] * vX_[475] + vX_[3707] * vX_[527];
+ vX_[3569] = vX_[2589] * vX_[65] + vX_[2387] * vX_[9] + vX_[2372] * vX_[809] + vX_[2115] * vX_[812] + vX_[3570] * vX_[810] + vX_[149] * vX_[808] + vX_[3569] * vX_[816] + vX_[3569] * vX_[816] - vX_[147] * x_in[33];
+ vX_[2853] = 0 - vX_[2853];
+ vX_[149] = vX_[3647] + vX_[2777];
+ vX_[2115] = 0 - vX_[2626];
+ vX_[2475] = 0 - vX_[213];
+ vX_[2883] = 0 - vX_[2883] + vX_[3524];
+ vX_[3524] = 0 - vX_[3735];
+ jac[571] = 0 - (vX_[2545] * vX_[859] + vX_[2742] * vX_[848] + vX_[166] * vX_[661] + vX_[2846] * vX_[663] + vX_[2675] * vX_[104] + vX_[2777] * vX_[594] + vX_[2724] * vX_[87] + vX_[2849] * vX_[634] + vX_[2882] * vX_[112] + vX_[2847] * vX_[608] + vX_[2713] * vX_[530] + vX_[2727] * vX_[610] + vX_[2687] * vX_[121] + vX_[2712] * vX_[535] + vX_[2845] * vX_[537] + vX_[2887] * vX_[585] + vX_[2702] * vX_[481] + vX_[2866] * vX_[532] + vX_[1683] * x_in[22] + vX_[975] * x_in[19] + (vX_[2711] * vX_[859] + vX_[168] * vX_[101] + vX_[1683] * x_in[20]) * -0.3735 - (vX_[2738] * vX_[883] + vX_[154] * x_in[23]) + (vX_[2742] * vX_[883] + vX_[154] * x_in[19]) * -0.3735 + (vX_[2678] * vX_[883] + vX_[933] * vX_[479] + vX_[3735] * vX_[531] + vX_[2683] * vX_[114] + vX_[3745] * vX_[116] + vX_[2626] * vX_[87] + vX_[213] * vX_[96] + vX_[2856] * vX_[99] + vX_[984] * vX_[115] + vX_[978] * vX_[104] + vX_[2886] * vX_[477] + vX_[3735] * vX_[528] + vX_[3673] * vX_[52] + vX_[3678] * vX_[484] + vX_[154] * x_in[18]) * 0.207 - (vX_[2711] * vX_[853] + vX_[3689] * vX_[660] + vX_[2854] * vX_[650] + vX_[2722] * vX_[87] + vX_[3647] * vX_[627] + vX_[2769] * vX_[611] + vX_[2881] * vX_[122] + vX_[2848] * vX_[633] + vX_[3771] * vX_[607] + vX_[2723] * vX_[609] + vX_[2771] * vX_[111] + vX_[948] * vX_[534] + vX_[2864] * vX_[584] + vX_[936] * vX_[532] + vX_[885] * vX_[485] + vX_[168] * vX_[102] + vX_[3569] * x_in[20])) * vX_[927] + (vX_[2738] * vX_[859] + vX_[2545] * vX_[883] + vX_[2711] * vX_[848] + vX_[2742] * vX_[853] + vX_[3689] * vX_[663] + vX_[166] * vX_[659] + vX_[2846] * vX_[660] + vX_[2854] * vX_[104] + vX_[2853] * vX_[650] + vX_[2722] * vX_[594] + vX_[149] * vX_[87] + vX_[2724] * vX_[627] + vX_[2849] * vX_[633] + vX_[2769] * vX_[608] + vX_[2881] * vX_[112] + vX_[2882] * vX_[122] + vX_[2848] * vX_[634] + vX_[2847] * vX_[611] + vX_[3771] * vX_[530] + vX_[2723] * vX_[610] + vX_[2713] * vX_[607] + vX_[2727] * vX_[609] + vX_[2771] * vX_[121] + vX_[2687] * vX_[111] + vX_[948] * vX_[537] + vX_[2712] * vX_[533] + vX_[2845] * vX_[534] + vX_[2864] * vX_[585] + vX_[2884] * vX_[584] + vX_[936] * vX_[481] + vX_[947] * vX_[532] + vX_[2866] * vX_[485] + vX_[168] * vX_[100] + (vX_[2781] * vX_[529] + vX_[3706] * vX_[61] + vX_[939] * vX_[116] + vX_[2874] * vX_[91] + vX_[194] * vX_[105] + vX_[2115] * vX_[90] + vX_[972] * vX_[99] + vX_[2475] * vX_[87] + vX_[3717] * vX_[104] + vX_[2883] * vX_[115] + vX_[2781] * vX_[525] + vX_[3524] * vX_[476] + vX_[939] * vX_[120] + vX_[194] * vX_[473]) * 0.207 + vX_[1683] * x_in[23] + vX_[154] * x_in[22] + vX_[975] * x_in[20] + vX_[3569] * x_in[19] + (vX_[2742] * vX_[859] + vX_[168] * vX_[88] + vX_[1683] * x_in[19]) * 0.3735 + (vX_[2678] * vX_[859] + vX_[1683] * x_in[18]) * -0.207 + (vX_[2711] * vX_[883] + vX_[154] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3689] = vX_[3001] - vX_[2950];
+ vX_[2996] = vX_[2927] + vX_[2996];
+ vX_[3003] = vX_[2825] + vX_[3003];
+ vX_[2825] = 0 - vX_[3003];
+ vX_[2927] = vX_[3689] * vX_[50];
+ vX_[2874] = vX_[3689] * vX_[88];
+ vX_[2999] = vX_[2871] + vX_[2999];
+ vX_[3032] = vX_[3026] + vX_[3032];
+ vX_[2997] = vX_[2877] + vX_[2997];
+ vX_[2919] = vX_[2863] + vX_[2919];
+ vX_[2863] = vX_[2919] * vX_[88] + vX_[2997] * vX_[50];
+ vX_[2877] = vX_[2919] * vX_[101] + vX_[2997] * vX_[88];
+ vX_[3031] = vX_[3016] + vX_[3031];
+ vX_[2837] = 0 - (vX_[2862] + vX_[2837]) + vX_[3031];
+ vX_[2862] = vX_[3024] - vX_[2833];
+ vX_[2995] = vX_[2852] + vX_[2995];
+ vX_[3034] = vX_[3037] + vX_[3034];
+ vX_[3037] = 0 - vX_[3034];
+ vX_[2852] = vX_[2862] * vX_[50];
+ vX_[3016] = vX_[2862] * vX_[88];
+ vX_[3026] = vX_[2878] + vX_[2861] * 0.207;
+ vX_[2871] = vX_[2888] * vX_[822] + vX_[2684] * vX_[88] + vX_[2861] * vX_[820] + vX_[2892] * vX_[821] + vX_[2828] * vX_[5];
+ vX_[2683] = vX_[2861] * vX_[88] + vX_[2892] * vX_[50];
+ vX_[168] = vX_[3026] * vX_[833] + vX_[2871] * vX_[64] + vX_[2683] * vX_[834];
+ vX_[3706] = vX_[3026] * vX_[819] + vX_[2871] * vX_[9] + vX_[2683] * vX_[71];
+ vX_[3771] = vX_[168] * 1 / vX_[41];
+ vX_[933] = vX_[3706] * 1 / vX_[41];
+ vX_[2884] = vX_[2683] * 1 / vX_[41];
+ vX_[2864] = vX_[3026] * 1 / vX_[0];
+ vX_[2723] = vX_[2888] * vX_[88] + vX_[2684] * vX_[50] + vX_[2861] * vX_[102] + vX_[2892] * vX_[100] + vX_[2828] * vX_[811];
+ vX_[2848] = vX_[2723] * 1 / vX_[0];
+ vX_[3745] = vX_[2871] * 1 / vX_[0];
+ vX_[2771] = vX_[2828] * 1 / vX_[0];
+ vX_[947] = vX_[2683] * 1 / vX_[0];
+ vX_[885] = vX_[2861] * vX_[101] + vX_[2892] * vX_[88];
+ vX_[936] = vX_[885] * 1 / vX_[0];
+ vX_[948] = vX_[2828] - (vX_[2864] * vX_[97] + vX_[2848] * vX_[27] + vX_[3745] * vX_[17] + vX_[2771] * vX_[0] + vX_[947] * vX_[110] + vX_[936] * vX_[119]);
+ vX_[2866] = vX_[948] * vX_[4] + vX_[885] * vX_[65];
+ vX_[2702] = vX_[2866] * 1 / vX_[41];
+ vX_[2887] = vX_[948] * vX_[65] + vX_[885] * vX_[9];
+ vX_[2845] = vX_[2887] * 1 / vX_[41];
+ vX_[2712] = vX_[2683] - (vX_[3771] * vX_[26] + vX_[933] * vX_[44] + vX_[2884] * vX_[41] + vX_[2702] * vX_[32] + vX_[2845] * vX_[69]);
+ vX_[2687] = vX_[168] * vX_[62] + vX_[3706] * vX_[76] + vX_[2712] * vX_[77];
+ vX_[2881] = vX_[168] * vX_[76] + vX_[3706] * vX_[843] + vX_[2712] * vX_[844];
+ vX_[2727] = vX_[2712] - (vX_[2881] * 38.1956380581338 * 0.1104774 + vX_[2687] * 38.1956380581338 * 0.0004405 + vX_[2712] * 38.1956380581338 * 0.026181);
+ vX_[2713] = vX_[2866] * vX_[76] + vX_[2887] * vX_[79];
+ vX_[2769] = vX_[2687] * 0.881 + (0 - vX_[2727]) * -0.0004405 + vX_[2713] * 8.81e-05;
+ vX_[2847] = vX_[2881] * -0.881;
+ vX_[2882] = vX_[2727] * 0.1104774;
+ vX_[2849] = vX_[2866] * vX_[62] + vX_[2887] * vX_[76];
+ vX_[2846] = vX_[2849] * 8.81e-05;
+ vX_[166] = vX_[2847] - vX_[2882] + vX_[2846];
+ vX_[3676] = vX_[2769] * vX_[841] + vX_[166] * vX_[838];
+ vX_[151] = vX_[3706] * 3.146 + (0 - vX_[2712]) * 0.0825825;
+ vX_[1700] = vX_[168] * -3.146;
+ vX_[2352] = vX_[2712] * 0.47422804;
+ vX_[655] = vX_[1700] - vX_[2352];
+ vX_[155] = vX_[3676] + vX_[151] * vX_[829] + vX_[655] * vX_[826];
+ vX_[160] = vX_[2871] * 3.44 + vX_[2683] * 0.5824264;
+ vX_[162] = 0 - vX_[160];
+ vX_[2253] = vX_[3026] * 3.44 + (0 - vX_[2683]) * 0.1466472;
+ vX_[156] = vX_[3026] * vX_[104] + vX_[2723] * vX_[87] + vX_[2871] * vX_[96] + vX_[2683] * vX_[477] + vX_[885] * vX_[528];
+ vX_[1667] = vX_[155] + vX_[162] * vX_[810] + vX_[2253] * vX_[816] + vX_[156] * x_in[33];
+ vX_[3731] = 0 - vX_[2769];
+ vX_[2846] = 0 - vX_[2847] + vX_[2882] - vX_[2846];
+ vX_[2882] = vX_[2723] + vX_[948] * 0.08;
+ vX_[2847] = vX_[2882] + vX_[2866] * -0.35;
+ vX_[165] = vX_[2847] * -0.0004405 + vX_[2881] * 8.81e-05 + vX_[2849] * -0.000227999999999999;
+ vX_[2229] = vX_[2847] * 0.1104774 + vX_[2687] * 8.81e-05 + (0 - vX_[2713]) * 0.025713;
+ vX_[2144] = (0 - vX_[2881]) * -0.0004405;
+ vX_[3519] = (0 - vX_[2687]) * 0.1104774;
+ vX_[2699] = vX_[2144] + vX_[3519];
+ vX_[2699] = vX_[3731] * vX_[845] + vX_[2846] * vX_[836] + vX_[165] * vX_[841] + vX_[2229] * vX_[838] + vX_[2699] * vX_[832] + vX_[2699] * vX_[832];
+ vX_[2381] = vX_[2847] * 0.881 + (0 - vX_[2713]) * 0.1104774 + vX_[2849] * -0.0004405;
+ vX_[3779] = vX_[2881] * -0.00185880198235362 + vX_[2687] * 0.880992588508842 + vX_[2713] * 8.81e-05;
+ vX_[3731] = vX_[3731] * vX_[832] + vX_[2381] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[2557] = 0 - vX_[2381];
+ vX_[2586] = vX_[2881] * 0.414812462825713 + vX_[2687] * -0.00185880198235362 + vX_[2849] * -8.81e-05;
+ vX_[2846] = vX_[2846] * vX_[832] + vX_[2557] * vX_[841] - vX_[2586] * x_in[35];
+ vX_[2580] = 0 - vX_[151];
+ vX_[2352] = 0 - vX_[1700] + vX_[2352];
+ vX_[1700] = vX_[2882] * 0.0825825 + (0 - vX_[2712]) * -0.000102 + vX_[2866] * -0.007418 + vX_[2887] * 0.002735;
+ vX_[1844] = vX_[2882] * 0.47422804 + vX_[2712] * 2.1e-05 + (0 - vX_[2866]) * 0.084376 + (0 - vX_[2887]) * -0.007418;
+ vX_[2405] = (0 - vX_[168]) * 0.0825825;
+ vX_[3694] = (0 - vX_[3706]) * 0.47422804;
+ vX_[2533] = vX_[2866] * -0.000102;
+ vX_[2731] = (0 - vX_[2887]) * 2.1e-05;
+ vX_[3677] = vX_[2405] + vX_[3694] + vX_[2533] + vX_[2731];
+ vX_[3677] = vX_[2699] + vX_[3731] * vX_[844] + vX_[2846] * vX_[77] + vX_[2580] * vX_[835] + vX_[2352] * vX_[824] + vX_[1700] * vX_[829] + vX_[1844] * vX_[826] + vX_[3677] * vX_[818] + vX_[3677] * vX_[818];
+ vX_[3684] = vX_[2882] * 3.146 + (0 - vX_[2866]) * 0.47422804 + vX_[2887] * 0.0825825;
+ vX_[3581] = vX_[168] * vX_[73] + vX_[3706] * vX_[75] + vX_[2866] * vX_[34] + vX_[2887] * vX_[13];
+ vX_[2580] = vX_[3731] * vX_[76] + vX_[2846] * vX_[62] + vX_[2580] * vX_[818] + vX_[3684] * vX_[826] + vX_[3581] * x_in[34];
+ vX_[3558] = 0 - vX_[3684];
+ vX_[522] = vX_[168] * vX_[80] + vX_[3706] * vX_[73] + vX_[2866] * vX_[21] + vX_[2887] * vX_[24];
+ vX_[2352] = vX_[3731] * vX_[843] + vX_[2846] * vX_[76] + vX_[2352] * vX_[818] + vX_[3558] * vX_[829] - vX_[522] * x_in[34];
+ vX_[349] = 0 - vX_[2253];
+ vX_[348] = vX_[2723] * 0.5824264 + (0 - vX_[948]) * -0.022734 + vX_[2683] * -3.6e-05 + vX_[885] * -0.133138;
+ vX_[344] = vX_[2723] * 0.1466472 + vX_[948] * 0.009466 + (0 - vX_[2683]) * -5.1e-05 + vX_[885] * -0.022734;
+ vX_[3685] = (0 - vX_[3026]) * 0.5824264;
+ vX_[1940] = (0 - vX_[2871]) * 0.1466472;
+ vX_[1676] = (0 - vX_[948]) * -3.6e-05;
+ vX_[307] = (0 - vX_[885]) * -5.1e-05;
+ vX_[3574] = vX_[3685] + vX_[1940] + vX_[1676] - vX_[307];
+ vX_[553] = vX_[3026] * vX_[120] + vX_[2723] * vX_[476] + vX_[2871] * vX_[528] + vX_[2683] * vX_[527] + vX_[885] * vX_[53];
+ vX_[3574] = vX_[3677] + vX_[2580] * vX_[834] + vX_[2352] * vX_[71] + vX_[160] * vX_[809] + vX_[349] * vX_[823] + vX_[348] * vX_[810] + vX_[344] * vX_[816] + vX_[3574] * vX_[808] + vX_[3574] * vX_[808] + vX_[553] * x_in[33];
+ vX_[2609] = vX_[3006] - vX_[2833];
+ vX_[3635] = vX_[2609] * vX_[88] + vX_[2995] * vX_[50];
+ vX_[1983] = vX_[2609] * vX_[101] + vX_[2995] * vX_[88];
+ vX_[982] = vX_[1983] + vX_[2852];
+ vX_[342] = vX_[3635] * vX_[101] + vX_[982] * vX_[88] + vX_[3016] * vX_[50];
+ vX_[3090] = 0 - vX_[342];
+ vX_[987] = vX_[2833] + vX_[3635] * vX_[88] + vX_[2852] * vX_[50];
+ vX_[3642] = 0 - vX_[987];
+ vX_[1609] = vX_[2833] + vX_[1983] * vX_[101] + vX_[3016] * vX_[88];
+ vX_[2921] = vX_[2685] + vX_[2921] - vX_[3032];
+ vX_[2685] = vX_[3031] * vX_[88] + vX_[3032] * vX_[50];
+ vX_[333] = 0 - (vX_[2921] * vX_[101] + vX_[2837] * vX_[88]) + vX_[2685];
+ vX_[746] = vX_[333] + vX_[987] * vX_[89];
+ vX_[507] = 0 - vX_[746];
+ vX_[350] = vX_[3031] * vX_[101] + vX_[3032] * vX_[88];
+ vX_[327] = vX_[2921] * vX_[88] + vX_[2837] * vX_[50] + vX_[350];
+ vX_[123] = 0 - vX_[1609];
+ vX_[499] = vX_[327] + vX_[342] * vX_[89] + vX_[123] * vX_[5];
+ vX_[2998] = vX_[2873] + vX_[2998];
+ vX_[2873] = vX_[2999] * vX_[88] + vX_[2998] * vX_[101];
+ vX_[339] = vX_[2873] * vX_[88] + vX_[2877] * vX_[50];
+ vX_[3014] = vX_[2930] + vX_[3014];
+ vX_[3034] = 0 - vX_[3034];
+ vX_[2930] = vX_[3014] * vX_[101] + vX_[3034] * vX_[88];
+ vX_[324] = 0 - vX_[2930];
+ vX_[1060] = vX_[339] + vX_[324] * vX_[5] + vX_[3642] * vX_[103];
+ vX_[3258] = 0 - vX_[1060];
+ vX_[3487] = vX_[2999] * vX_[50] + vX_[2998] * vX_[88];
+ vX_[2977] = vX_[3487] * vX_[101] + vX_[2863] * vX_[88];
+ vX_[3386] = vX_[3014] * vX_[88] + vX_[3037] * vX_[50];
+ vX_[3273] = 0 - vX_[3386];
+ vX_[340] = vX_[2977] + vX_[3273] * vX_[89] + vX_[1609] * vX_[103];
+ vX_[2743] = vX_[3487] * vX_[88] + vX_[2863] * vX_[50];
+ vX_[671] = vX_[2743] + vX_[2930] * vX_[89];
+ vX_[3512] = vX_[2873] * vX_[101] + vX_[2877] * vX_[88];
+ vX_[3551] = vX_[3512] + vX_[3386] * vX_[5] + vX_[3090] * vX_[103];
+ vX_[1453] = 0 - vX_[671] + vX_[3551];
+ vX_[764] = 0 - vX_[342];
+ vX_[2829] = 0 - vX_[987];
+ vX_[3642] = vX_[3090] * vX_[531] + vX_[3642] * vX_[479] + vX_[1609] * vX_[61] + vX_[507] * vX_[104] + vX_[499] * vX_[115] + vX_[3258] * vX_[96] + vX_[340] * vX_[90] + vX_[1453] * vX_[87] + vX_[342] * vX_[525] + vX_[764] * vX_[528] + vX_[2829] * vX_[478] + vX_[1609] * vX_[482];
+ vX_[3090] = vX_[2723] * -3.44;
+ vX_[1468] = vX_[948] * 0.1466472;
+ vX_[2816] = vX_[885] * 0.5824264;
+ vX_[720] = 0 - vX_[3090] + vX_[1468] - vX_[2816];
+ vX_[2902] = vX_[3026] * vX_[115] + vX_[2723] * vX_[90] + vX_[2871] * vX_[87] + vX_[2683] * vX_[525] + vX_[885] * vX_[476];
+ vX_[349] = vX_[2580] * vX_[64] + vX_[2352] * vX_[9] + vX_[720] * vX_[810] + vX_[349] * vX_[808] - vX_[2902] * x_in[33];
+ vX_[2833] = vX_[3006] + vX_[3024] + vX_[2833] - vX_[987] - vX_[1609];
+ vX_[3024] = 0 - vX_[2833];
+ vX_[2685] = vX_[2685] + vX_[3024] * vX_[89];
+ vX_[350] = vX_[350] + vX_[2833] * vX_[5];
+ vX_[3006] = 0 - vX_[499];
+ vX_[2100] = 0 - vX_[340];
+ vX_[3033] = vX_[3036] + vX_[3033] + vX_[2998] + vX_[2997] - vX_[2743] - vX_[3512];
+ vX_[3551] = vX_[3033] - vX_[3551];
+ vX_[3036] = 0 - vX_[2930];
+ vX_[369] = 0 - vX_[342];
+ vX_[3387] = 0 - vX_[1609];
+ vX_[3356] = vX_[2994] - vX_[2950];
+ vX_[3004] = vX_[2872] + vX_[3004];
+ vX_[2872] = vX_[3356] * vX_[88] + vX_[2996] * vX_[50];
+ vX_[2670] = vX_[3356] * vX_[101] + vX_[2996] * vX_[88];
+ vX_[2727] = vX_[2881] * 0.1104774 + vX_[2687] * -0.0004405 + vX_[2727] * 0.025941;
+ vX_[444] = (0 - vX_[2847]) * 8.81e-05;
+ vX_[3519] = vX_[444] + vX_[3519];
+ vX_[2849] = vX_[2847] * -0.0004405 + vX_[2881] * -8.81e-05 + vX_[2849] * 0.000468;
+ vX_[3519] = vX_[2769] * vX_[839] + vX_[2557] * vX_[836] + vX_[165] * vX_[832] + vX_[2727] * vX_[838] + vX_[3519] * vX_[841] + vX_[3519] * vX_[841] + vX_[2849] * x_in[35];
+ vX_[444] = vX_[444] + vX_[2144];
+ vX_[2847] = vX_[2847] * -0.1104774 + vX_[2687] * 8.81e-05 + vX_[2713] * 0.026409;
+ jac[1292] = vX_[2586] * vX_[850] + vX_[3779] * vX_[845] + vX_[2847] * vX_[858] + vX_[2849] * vX_[841] + vX_[2699];
+ vX_[2847] = vX_[166] * vX_[839] + vX_[2381] * vX_[845] + vX_[2229] * vX_[832] + vX_[2727] * vX_[841] + vX_[444] * vX_[838] + vX_[444] * vX_[838] - vX_[2847] * x_in[35];
+ vX_[444] = vX_[168] * 0.47422804 + vX_[3706] * 0.0825825 + vX_[2712] * 0.081641 + (0 - vX_[2866]) * 2.1e-05 + vX_[2887] * -0.000102;
+ vX_[2727] = (0 - vX_[2712]) * -0.007418;
+ vX_[2731] = vX_[3694] + vX_[2727] - vX_[2731];
+ vX_[3694] = vX_[2882] * vX_[43] + vX_[168] * vX_[24] + vX_[3706] * vX_[13] + vX_[2866] * vX_[29] + vX_[2887] * vX_[40];
+ vX_[2731] = vX_[3676] * -0.35 + vX_[3519] * vX_[76] + vX_[2847] * vX_[62] + vX_[151] * vX_[827] + vX_[3558] * vX_[824] + vX_[1700] * vX_[818] + vX_[444] * vX_[826] + vX_[2731] * vX_[829] + vX_[2731] * vX_[829] + vX_[3694] * x_in[34];
+ vX_[2727] = vX_[2405] - vX_[2727] - vX_[2533];
+ vX_[2533] = vX_[2882] * vX_[30] + vX_[168] * vX_[21] + vX_[3706] * vX_[34] + vX_[2866] * vX_[7] + vX_[2887] * vX_[29];
+ jac[1256] = vX_[522] * vX_[868] + vX_[3581] * vX_[835] + vX_[2533] * vX_[865] + vX_[3694] * vX_[829] + vX_[3677];
+ vX_[2533] = vX_[3519] * vX_[79] + vX_[2847] * vX_[76] + vX_[655] * vX_[827] + vX_[3684] * vX_[835] + vX_[1844] * vX_[818] + vX_[444] * vX_[829] + vX_[2727] * vX_[826] + vX_[2727] * vX_[826] - vX_[2533] * x_in[34];
+ vX_[2816] = vX_[3090] - vX_[1468] + vX_[2816];
+ vX_[1468] = vX_[3026] * 0.1466472 + vX_[2871] * 0.5824264 + vX_[948] * -5.1e-05 + (0 - vX_[2683]) * -0.123672 + (0 - vX_[885]) * -3.6e-05;
+ vX_[3090] = vX_[2683] * -0.022734;
+ vX_[1676] = vX_[3685] - vX_[1676] - vX_[3090];
+ vX_[3685] = vX_[3026] * vX_[52] + vX_[2723] * vX_[525] + vX_[2871] * vX_[477] + vX_[2683] * vX_[475] + vX_[885] * vX_[527];
+ vX_[1676] = vX_[2731] * vX_[65] + vX_[2533] * vX_[9] + vX_[2816] * vX_[809] + vX_[2253] * vX_[812] + vX_[1468] * vX_[810] + vX_[344] * vX_[808] + vX_[1676] * vX_[816] + vX_[1676] * vX_[816] - vX_[3685] * x_in[33];
+ vX_[3003] = 0 - vX_[3003];
+ vX_[344] = vX_[2670] + vX_[2927];
+ vX_[2253] = 0 - vX_[2685];
+ vX_[2727] = 0 - vX_[350];
+ vX_[3033] = 0 - vX_[3033] + vX_[671];
+ vX_[671] = 0 - vX_[3386];
+ jac[572] = 0 - (vX_[2684] * vX_[859] + vX_[2892] * vX_[848] + vX_[3689] * vX_[661] + vX_[2996] * vX_[663] + vX_[2825] * vX_[104] + vX_[2927] * vX_[594] + vX_[2874] * vX_[87] + vX_[2999] * vX_[634] + vX_[3032] * vX_[112] + vX_[2997] * vX_[608] + vX_[2863] * vX_[530] + vX_[2877] * vX_[610] + vX_[2837] * vX_[121] + vX_[2862] * vX_[535] + vX_[2995] * vX_[537] + vX_[3037] * vX_[585] + vX_[2852] * vX_[481] + vX_[3016] * vX_[532] + vX_[1667] * x_in[22] + vX_[3574] * x_in[19] + (vX_[2861] * vX_[859] + vX_[3642] * vX_[101] + vX_[1667] * x_in[20]) * -0.3735 - (vX_[2888] * vX_[883] + vX_[349] * x_in[23]) + (vX_[2892] * vX_[883] + vX_[349] * x_in[19]) * -0.3735 + (vX_[2828] * vX_[883] + vX_[324] * vX_[479] + vX_[3386] * vX_[531] + vX_[2833] * vX_[114] + vX_[123] * vX_[116] + vX_[2685] * vX_[87] + vX_[350] * vX_[96] + vX_[3006] * vX_[99] + vX_[2100] * vX_[115] + vX_[3551] * vX_[104] + vX_[3036] * vX_[477] + vX_[3386] * vX_[528] + vX_[369] * vX_[52] + vX_[3387] * vX_[484] + vX_[349] * x_in[18]) * 0.207 - (vX_[2861] * vX_[853] + vX_[3356] * vX_[660] + vX_[3004] * vX_[650] + vX_[2872] * vX_[87] + vX_[2670] * vX_[627] + vX_[2919] * vX_[611] + vX_[3031] * vX_[122] + vX_[2998] * vX_[633] + vX_[3487] * vX_[607] + vX_[2873] * vX_[609] + vX_[2921] * vX_[111] + vX_[2609] * vX_[534] + vX_[3014] * vX_[584] + vX_[3635] * vX_[532] + vX_[1983] * vX_[485] + vX_[3642] * vX_[102] + vX_[1676] * x_in[20])) * vX_[927] + (vX_[2888] * vX_[859] + vX_[2684] * vX_[883] + vX_[2861] * vX_[848] + vX_[2892] * vX_[853] + vX_[3356] * vX_[663] + vX_[3689] * vX_[659] + vX_[2996] * vX_[660] + vX_[3004] * vX_[104] + vX_[3003] * vX_[650] + vX_[2872] * vX_[594] + vX_[344] * vX_[87] + vX_[2874] * vX_[627] + vX_[2999] * vX_[633] + vX_[2919] * vX_[608] + vX_[3031] * vX_[112] + vX_[3032] * vX_[122] + vX_[2998] * vX_[634] + vX_[2997] * vX_[611] + vX_[3487] * vX_[530] + vX_[2873] * vX_[610] + vX_[2863] * vX_[607] + vX_[2877] * vX_[609] + vX_[2921] * vX_[121] + vX_[2837] * vX_[111] + vX_[2609] * vX_[537] + vX_[2862] * vX_[533] + vX_[2995] * vX_[534] + vX_[3014] * vX_[585] + vX_[3034] * vX_[584] + vX_[3635] * vX_[481] + vX_[982] * vX_[532] + vX_[3016] * vX_[485] + vX_[3642] * vX_[100] + (vX_[2930] * vX_[529] + vX_[3273] * vX_[61] + vX_[342] * vX_[116] + vX_[3024] * vX_[91] + vX_[987] * vX_[105] + vX_[2253] * vX_[90] + vX_[746] * vX_[99] + vX_[2727] * vX_[87] + vX_[1060] * vX_[104] + vX_[3033] * vX_[115] + vX_[2930] * vX_[525] + vX_[671] * vX_[476] + vX_[342] * vX_[120] + vX_[987] * vX_[473]) * 0.207 + vX_[1667] * x_in[23] + vX_[349] * x_in[22] + vX_[3574] * x_in[20] + vX_[1676] * x_in[19] + (vX_[2892] * vX_[859] + vX_[3642] * vX_[88] + vX_[1667] * x_in[19]) * 0.3735 + (vX_[2828] * vX_[859] + vX_[1667] * x_in[18]) * -0.207 + (vX_[2861] * vX_[883] + vX_[349] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[3356] = vX_[3143] - vX_[2834];
+ vX_[3138] = vX_[3021] + vX_[3138];
+ vX_[3145] = vX_[3011] + vX_[3145];
+ vX_[3011] = 0 - vX_[3145];
+ vX_[3021] = vX_[3356] * vX_[50];
+ vX_[3024] = vX_[3356] * vX_[88];
+ vX_[3141] = vX_[3045] + vX_[3141];
+ vX_[3174] = vX_[3168] + vX_[3174];
+ vX_[3139] = vX_[2953] + vX_[3139];
+ vX_[2975] = vX_[3028] + vX_[2975];
+ vX_[3028] = vX_[2975] * vX_[88] + vX_[3139] * vX_[50];
+ vX_[2953] = vX_[2975] * vX_[101] + vX_[3139] * vX_[88];
+ vX_[3173] = vX_[3158] + vX_[3173];
+ vX_[3022] = 0 - (vX_[3042] + vX_[3022]) + vX_[3173];
+ vX_[3042] = vX_[3166] - vX_[3100];
+ vX_[3137] = vX_[3047] + vX_[3137];
+ vX_[3176] = vX_[3179] + vX_[3176];
+ vX_[3179] = 0 - vX_[3176];
+ vX_[3047] = vX_[3042] * vX_[50];
+ vX_[3158] = vX_[3042] * vX_[88];
+ vX_[3168] = vX_[3048] + vX_[3046] * 0.207;
+ vX_[3045] = vX_[2835] * vX_[822] + vX_[2918] * vX_[88] + vX_[3046] * vX_[820] + vX_[3030] * vX_[821] + vX_[2985] * vX_[5];
+ vX_[2833] = vX_[3046] * vX_[88] + vX_[3030] * vX_[50];
+ vX_[3642] = vX_[3168] * vX_[833] + vX_[3045] * vX_[64] + vX_[2833] * vX_[834];
+ vX_[3273] = vX_[3168] * vX_[819] + vX_[3045] * vX_[9] + vX_[2833] * vX_[71];
+ vX_[3487] = vX_[3642] * 1 / vX_[41];
+ vX_[324] = vX_[3273] * 1 / vX_[41];
+ vX_[3034] = vX_[2833] * 1 / vX_[41];
+ vX_[3014] = vX_[3168] * 1 / vX_[0];
+ vX_[2873] = vX_[2835] * vX_[88] + vX_[2918] * vX_[50] + vX_[3046] * vX_[102] + vX_[3030] * vX_[100] + vX_[2985] * vX_[811];
+ vX_[2998] = vX_[2873] * 1 / vX_[0];
+ vX_[123] = vX_[3045] * 1 / vX_[0];
+ vX_[2921] = vX_[2985] * 1 / vX_[0];
+ vX_[982] = vX_[2833] * 1 / vX_[0];
+ vX_[1983] = vX_[3046] * vX_[101] + vX_[3030] * vX_[88];
+ vX_[3635] = vX_[1983] * 1 / vX_[0];
+ vX_[2609] = vX_[2985] - (vX_[3085] + vX_[3014] * vX_[97] + vX_[2998] * vX_[27] + vX_[123] * vX_[17] + vX_[2921] * vX_[0] + vX_[982] * vX_[110] + vX_[3635] * vX_[119]);
+ vX_[3016] = vX_[2609] * vX_[4] + vX_[1983] * vX_[65];
+ vX_[2852] = vX_[3016] * 1 / vX_[41];
+ vX_[3037] = vX_[2609] * vX_[65] + vX_[1983] * vX_[9];
+ vX_[2995] = vX_[3037] * 1 / vX_[41];
+ vX_[2862] = vX_[2833] - (vX_[3487] * vX_[26] + vX_[324] * vX_[44] + vX_[3034] * vX_[41] + vX_[2852] * vX_[32] + vX_[2995] * vX_[69]);
+ vX_[2837] = vX_[3642] * vX_[62] + vX_[3273] * vX_[76] + vX_[2862] * vX_[77];
+ vX_[3031] = vX_[3642] * vX_[76] + vX_[3273] * vX_[843] + vX_[2862] * vX_[844];
+ vX_[2877] = vX_[2862] - (vX_[3031] * 38.1956380581338 * 0.1104774 + vX_[2837] * 38.1956380581338 * 0.0004405 + vX_[2862] * 38.1956380581338 * 0.026181);
+ vX_[2863] = vX_[3016] * vX_[76] + vX_[3037] * vX_[79];
+ vX_[2919] = vX_[2837] * 0.881 + (0 - vX_[2877]) * -0.0004405 + vX_[2863] * 8.81e-05;
+ vX_[2997] = vX_[3031] * -0.881;
+ vX_[3032] = vX_[2877] * 0.1104774;
+ vX_[2999] = vX_[3016] * vX_[62] + vX_[3037] * vX_[76];
+ vX_[2996] = vX_[2999] * 8.81e-05;
+ vX_[3689] = vX_[2997] - vX_[3032] + vX_[2996];
+ vX_[444] = vX_[2919] * vX_[841] + vX_[3689] * vX_[838];
+ vX_[3684] = vX_[3273] * 3.146 + (0 - vX_[2862]) * 0.0825825;
+ vX_[1844] = vX_[3642] * -3.146;
+ vX_[655] = vX_[2862] * 0.47422804;
+ vX_[3694] = vX_[1844] - vX_[655];
+ vX_[522] = vX_[444] + vX_[3684] * vX_[829] + vX_[3694] * vX_[826];
+ vX_[3581] = vX_[3045] * 3.44 + vX_[2833] * 0.5824264;
+ vX_[3677] = 0 - vX_[3581];
+ vX_[2405] = vX_[3168] * 3.44 + (0 - vX_[2833]) * 0.1466472;
+ vX_[3558] = vX_[3080] + vX_[3168] * vX_[104] + vX_[2873] * vX_[87] + vX_[3045] * vX_[96] + vX_[2833] * vX_[477] + vX_[1983] * vX_[528];
+ vX_[1700] = vX_[522] + vX_[3677] * vX_[810] + vX_[2405] * vX_[816] + vX_[3558] * x_in[33];
+ vX_[151] = 0 - vX_[2919];
+ vX_[2996] = 0 - vX_[2997] + vX_[3032] - vX_[2996];
+ vX_[3032] = vX_[2873] + vX_[2609] * 0.08;
+ vX_[2997] = vX_[3032] + vX_[3016] * -0.35;
+ vX_[3676] = vX_[2997] * -0.0004405 + vX_[3031] * 8.81e-05 + vX_[2999] * -0.000227999999999999;
+ vX_[2381] = vX_[2997] * 0.1104774 + vX_[2837] * 8.81e-05 + (0 - vX_[2863]) * 0.025713;
+ vX_[2229] = (0 - vX_[3031]) * -0.0004405;
+ vX_[166] = (0 - vX_[2837]) * 0.1104774;
+ vX_[2849] = vX_[2229] + vX_[166];
+ vX_[2849] = vX_[151] * vX_[845] + vX_[2996] * vX_[836] + vX_[3676] * vX_[841] + vX_[2381] * vX_[838] + vX_[2849] * vX_[832] + vX_[2849] * vX_[832];
+ vX_[2586] = vX_[2997] * 0.881 + (0 - vX_[2863]) * 0.1104774 + vX_[2999] * -0.0004405;
+ vX_[3779] = vX_[3031] * -0.00185880198235362 + vX_[2837] * 0.880992588508842 + vX_[2863] * 8.81e-05;
+ vX_[151] = vX_[151] * vX_[832] + vX_[2586] * vX_[838] + vX_[3779] * x_in[35];
+ vX_[2699] = 0 - vX_[2586];
+ vX_[2713] = vX_[3031] * 0.414812462825713 + vX_[2837] * -0.00185880198235362 + vX_[2999] * -8.81e-05;
+ vX_[2996] = vX_[2996] * vX_[832] + vX_[2699] * vX_[841] - vX_[2713] * x_in[35];
+ vX_[2687] = 0 - vX_[3684];
+ vX_[655] = 0 - vX_[1844] + vX_[655];
+ vX_[1844] = vX_[3032] * 0.0825825 + (0 - vX_[2862]) * -0.000102 + vX_[3016] * -0.007418 + vX_[3037] * 0.002735;
+ vX_[2144] = vX_[3032] * 0.47422804 + vX_[2862] * 2.1e-05 + (0 - vX_[3016]) * 0.084376 + (0 - vX_[3037]) * -0.007418;
+ vX_[2557] = (0 - vX_[3642]) * 0.0825825;
+ vX_[165] = (0 - vX_[3273]) * 0.47422804;
+ vX_[2769] = vX_[3016] * -0.000102;
+ vX_[2881] = (0 - vX_[3037]) * 2.1e-05;
+ vX_[3391] = vX_[2557] + vX_[165] + vX_[2769] + vX_[2881];
+ vX_[3391] = vX_[2849] + vX_[151] * vX_[844] + vX_[2996] * vX_[77] + vX_[2687] * vX_[835] + vX_[655] * vX_[824] + vX_[1844] * vX_[829] + vX_[2144] * vX_[826] + vX_[3391] * vX_[818] + vX_[3391] * vX_[818];
+ vX_[378] = vX_[3032] * 3.146 + (0 - vX_[3016]) * 0.47422804 + vX_[3037] * 0.0825825;
+ vX_[2946] = vX_[3642] * vX_[73] + vX_[3273] * vX_[75] + vX_[3016] * vX_[34] + vX_[3037] * vX_[13];
+ vX_[2687] = vX_[151] * vX_[76] + vX_[2996] * vX_[62] + vX_[2687] * vX_[818] + vX_[378] * vX_[826] + vX_[2946] * x_in[34];
+ vX_[2970] = 0 - vX_[378];
+ vX_[3380] = vX_[3642] * vX_[80] + vX_[3273] * vX_[73] + vX_[3016] * vX_[21] + vX_[3037] * vX_[24];
+ vX_[655] = vX_[151] * vX_[843] + vX_[2996] * vX_[76] + vX_[655] * vX_[818] + vX_[2970] * vX_[829] - vX_[3380] * x_in[34];
+ vX_[705] = 0 - vX_[2405];
+ vX_[3347] = vX_[2873] * 0.5824264 + (0 - vX_[2609]) * -0.022734 + vX_[2833] * -3.6e-05 + vX_[1983] * -0.133138;
+ vX_[1916] = vX_[2873] * 0.1466472 + vX_[2609] * 0.009466 + (0 - vX_[2833]) * -5.1e-05 + vX_[1983] * -0.022734;
+ vX_[1597] = (0 - vX_[3168]) * 0.5824264;
+ vX_[2822] = (0 - vX_[3045]) * 0.1466472;
+ vX_[3055] = (0 - vX_[2609]) * -3.6e-05;
+ vX_[2563] = (0 - vX_[1983]) * -5.1e-05;
+ vX_[2880] = vX_[1597] + vX_[2822] + vX_[3055] - vX_[2563];
+ vX_[2875] = vX_[3010] + vX_[3168] * vX_[120] + vX_[2873] * vX_[476] + vX_[3045] * vX_[528] + vX_[2833] * vX_[527] + vX_[1983] * vX_[53];
+ vX_[2880] = vX_[3391] + vX_[2687] * vX_[834] + vX_[655] * vX_[71] + vX_[3581] * vX_[809] + vX_[705] * vX_[823] + vX_[3347] * vX_[810] + vX_[1916] * vX_[816] + vX_[2880] * vX_[808] + vX_[2880] * vX_[808] + vX_[2875] * x_in[33];
+ vX_[2931] = vX_[3148] - vX_[3100];
+ vX_[2682] = vX_[2931] * vX_[88] + vX_[3137] * vX_[50];
+ vX_[1939] = vX_[2931] * vX_[101] + vX_[3137] * vX_[88];
+ vX_[1914] = vX_[1939] + vX_[3047];
+ vX_[1907] = vX_[2682] * vX_[101] + vX_[1914] * vX_[88] + vX_[3158] * vX_[50];
+ vX_[2898] = 0 - vX_[1907];
+ vX_[2890] = vX_[3100] + vX_[2682] * vX_[88] + vX_[3047] * vX_[50];
+ vX_[2968] = 0 - vX_[2890];
+ vX_[2760] = vX_[3100] + vX_[1939] * vX_[101] + vX_[3158] * vX_[88];
+ vX_[3023] = vX_[3044] + vX_[3023] - vX_[3174];
+ vX_[3044] = vX_[3173] * vX_[88] + vX_[3174] * vX_[50];
+ vX_[2803] = 0 - (vX_[3023] * vX_[101] + vX_[3022] * vX_[88]) + vX_[3044];
+ vX_[2621] = vX_[2803] + vX_[2890] * vX_[89];
+ vX_[3260] = 0 - vX_[2621];
+ vX_[445] = vX_[3173] * vX_[101] + vX_[3174] * vX_[88];
+ vX_[2756] = vX_[3023] * vX_[88] + vX_[3022] * vX_[50] + vX_[445];
+ vX_[2814] = 0 - vX_[2760];
+ vX_[582] = vX_[2756] + vX_[1907] * vX_[89] + vX_[2814] * vX_[5];
+ vX_[3140] = vX_[3002] + vX_[3140];
+ vX_[3002] = vX_[3141] * vX_[88] + vX_[3140] * vX_[101];
+ vX_[370] = vX_[3002] * vX_[88] + vX_[2953] * vX_[50];
+ vX_[3156] = vX_[3052] + vX_[3156];
+ vX_[3176] = 0 - vX_[3176];
+ vX_[3052] = vX_[3156] * vX_[101] + vX_[3176] * vX_[88];
+ vX_[783] = 0 - vX_[3052];
+ vX_[1248] = vX_[370] + vX_[783] * vX_[5] + vX_[2968] * vX_[103];
+ vX_[1456] = 0 - vX_[1248];
+ vX_[1783] = vX_[3141] * vX_[50] + vX_[3140] * vX_[88];
+ vX_[2033] = vX_[1783] * vX_[101] + vX_[3028] * vX_[88];
+ vX_[2315] = vX_[3156] * vX_[88] + vX_[3179] * vX_[50];
+ vX_[2030] = 0 - vX_[2315];
+ vX_[2184] = vX_[2033] + vX_[2030] * vX_[89] + vX_[2760] * vX_[103];
+ vX_[1639] = vX_[1783] * vX_[88] + vX_[3028] * vX_[50];
+ vX_[2053] = vX_[1639] + vX_[3052] * vX_[89];
+ vX_[2529] = vX_[3002] * vX_[101] + vX_[2953] * vX_[88];
+ vX_[1799] = vX_[2529] + vX_[2315] * vX_[5] + vX_[2898] * vX_[103];
+ vX_[2099] = 0 - vX_[2053] + vX_[1799];
+ vX_[3061] = 0 - vX_[1907];
+ vX_[2599] = 0 - vX_[2890];
+ vX_[2968] = vX_[2898] * vX_[531] + vX_[2968] * vX_[479] + vX_[2760] * vX_[61] + vX_[3260] * vX_[104] + vX_[582] * vX_[115] + vX_[1456] * vX_[96] + vX_[2184] * vX_[90] + vX_[2099] * vX_[87] + vX_[1907] * vX_[525] + vX_[3061] * vX_[528] + vX_[2599] * vX_[478] + vX_[2760] * vX_[482];
+ vX_[2898] = vX_[2873] * -3.44;
+ vX_[2426] = vX_[2609] * 0.1466472;
+ vX_[2641] = vX_[1983] * 0.5824264;
+ vX_[2618] = 0 - vX_[2898] + vX_[2426] - vX_[2641];
+ vX_[2211] = vX_[2832] + vX_[3168] * vX_[115] + vX_[2873] * vX_[90] + vX_[3045] * vX_[87] + vX_[2833] * vX_[525] + vX_[1983] * vX_[476];
+ vX_[705] = vX_[2687] * vX_[64] + vX_[655] * vX_[9] + vX_[2618] * vX_[810] + vX_[705] * vX_[808] - vX_[2211] * x_in[33];
+ vX_[3100] = vX_[3148] + vX_[3166] + vX_[3100] - vX_[2890] - vX_[2760];
+ vX_[3166] = 0 - vX_[3100];
+ vX_[3044] = vX_[3044] + vX_[3166] * vX_[89];
+ vX_[445] = vX_[445] + vX_[3100] * vX_[5];
+ vX_[3148] = 0 - vX_[582];
+ vX_[2207] = 0 - vX_[2184];
+ vX_[3175] = vX_[3178] + vX_[3175] + vX_[3140] + vX_[3139] - vX_[1639] - vX_[2529];
+ vX_[1799] = vX_[3175] - vX_[1799];
+ vX_[3178] = 0 - vX_[3052];
+ vX_[3412] = 0 - vX_[1907];
+ vX_[781] = 0 - vX_[2760];
+ vX_[1336] = vX_[3136] - vX_[2834];
+ vX_[3146] = vX_[3027] + vX_[3146];
+ vX_[3027] = vX_[1336] * vX_[88] + vX_[3138] * vX_[50];
+ vX_[1337] = vX_[1336] * vX_[101] + vX_[3138] * vX_[88];
+ vX_[2877] = vX_[3031] * 0.1104774 + vX_[2837] * -0.0004405 + vX_[2877] * 0.025941;
+ vX_[1645] = (0 - vX_[2997]) * 8.81e-05;
+ vX_[166] = vX_[1645] + vX_[166];
+ vX_[2999] = vX_[2997] * -0.0004405 + vX_[3031] * -8.81e-05 + vX_[2999] * 0.000468;
+ vX_[166] = vX_[2919] * vX_[839] + vX_[2699] * vX_[836] + vX_[3676] * vX_[832] + vX_[2877] * vX_[838] + vX_[166] * vX_[841] + vX_[166] * vX_[841] + vX_[2999] * x_in[35];
+ vX_[1645] = vX_[1645] + vX_[2229];
+ vX_[2997] = vX_[2997] * -0.1104774 + vX_[2837] * 8.81e-05 + vX_[2863] * 0.026409;
+ jac[1293] = vX_[2713] * vX_[850] + vX_[3779] * vX_[845] + vX_[2997] * vX_[858] + vX_[2999] * vX_[841] + vX_[2849];
+ vX_[2997] = vX_[3689] * vX_[839] + vX_[2586] * vX_[845] + vX_[2381] * vX_[832] + vX_[2877] * vX_[841] + vX_[1645] * vX_[838] + vX_[1645] * vX_[838] - vX_[2997] * x_in[35];
+ vX_[1645] = vX_[3642] * 0.47422804 + vX_[3273] * 0.0825825 + vX_[2862] * 0.081641 + (0 - vX_[3016]) * 2.1e-05 + vX_[3037] * -0.000102;
+ vX_[2877] = (0 - vX_[2862]) * -0.007418;
+ vX_[2881] = vX_[165] + vX_[2877] - vX_[2881];
+ vX_[165] = vX_[3032] * vX_[43] + vX_[3642] * vX_[24] + vX_[3273] * vX_[13] + vX_[3016] * vX_[29] + vX_[3037] * vX_[40];
+ vX_[2881] = vX_[444] * -0.35 + vX_[166] * vX_[76] + vX_[2997] * vX_[62] + vX_[3684] * vX_[827] + vX_[2970] * vX_[824] + vX_[1844] * vX_[818] + vX_[1645] * vX_[826] + vX_[2881] * vX_[829] + vX_[2881] * vX_[829] + vX_[165] * x_in[34];
+ vX_[2877] = vX_[2557] - vX_[2877] - vX_[2769];
+ vX_[2769] = vX_[3032] * vX_[30] + vX_[3642] * vX_[21] + vX_[3273] * vX_[34] + vX_[3016] * vX_[7] + vX_[3037] * vX_[29];
+ jac[1257] = vX_[3380] * vX_[868] + vX_[2946] * vX_[835] + vX_[2769] * vX_[865] + vX_[165] * vX_[829] + vX_[3391];
+ vX_[2769] = vX_[166] * vX_[79] + vX_[2997] * vX_[76] + vX_[3694] * vX_[827] + vX_[378] * vX_[835] + vX_[2144] * vX_[818] + vX_[1645] * vX_[829] + vX_[2877] * vX_[826] + vX_[2877] * vX_[826] - vX_[2769] * x_in[34];
+ vX_[2641] = vX_[2898] - vX_[2426] + vX_[2641];
+ vX_[2426] = vX_[3168] * 0.1466472 + vX_[3045] * 0.5824264 + vX_[2609] * -5.1e-05 + (0 - vX_[2833]) * -0.123672 + (0 - vX_[1983]) * -3.6e-05;
+ vX_[2898] = vX_[2833] * -0.022734;
+ vX_[3055] = vX_[1597] - vX_[3055] - vX_[2898];
+ vX_[1597] = vX_[3015] + vX_[3168] * vX_[52] + vX_[2873] * vX_[525] + vX_[3045] * vX_[477] + vX_[2833] * vX_[475] + vX_[1983] * vX_[527];
+ vX_[3055] = vX_[2881] * vX_[65] + vX_[2769] * vX_[9] + vX_[2641] * vX_[809] + vX_[2405] * vX_[812] + vX_[2426] * vX_[810] + vX_[1916] * vX_[808] + vX_[3055] * vX_[816] + vX_[3055] * vX_[816] - vX_[1597] * x_in[33];
+ vX_[3145] = 0 - vX_[3145];
+ vX_[1916] = vX_[1337] + vX_[3021];
+ vX_[2405] = 0 - vX_[3044];
+ vX_[2877] = 0 - vX_[445];
+ vX_[3175] = 0 - vX_[3175] + vX_[2053];
+ vX_[2053] = 0 - vX_[2315];
+ jac[573] = 0 - (vX_[2832] * vX_[1754] + vX_[3015] * vX_[1898] + vX_[2918] * vX_[859] + vX_[3030] * vX_[848] + vX_[3356] * vX_[661] + vX_[3138] * vX_[663] + vX_[3011] * vX_[104] + vX_[3021] * vX_[594] + vX_[3024] * vX_[87] + vX_[3141] * vX_[634] + vX_[3174] * vX_[112] + vX_[3139] * vX_[608] + vX_[3028] * vX_[530] + vX_[2953] * vX_[610] + vX_[3022] * vX_[121] + vX_[3042] * vX_[535] + vX_[3137] * vX_[537] + vX_[3179] * vX_[585] + vX_[3047] * vX_[481] + vX_[3158] * vX_[532] + vX_[1700] * x_in[22] + vX_[2880] * x_in[19] + (vX_[2832] * vX_[1810] + vX_[3046] * vX_[859] + vX_[2968] * vX_[101] + vX_[1700] * x_in[20]) * -0.3735 - (vX_[3080] * vX_[1855] + vX_[2835] * vX_[883] + vX_[705] * x_in[23]) + (vX_[3080] * vX_[1898] + vX_[3030] * vX_[883] + vX_[705] * x_in[19]) * -0.3735 + (vX_[3080] * vX_[1899] + vX_[2985] * vX_[883] + vX_[783] * vX_[479] + vX_[2315] * vX_[531] + vX_[3100] * vX_[114] + vX_[2814] * vX_[116] + vX_[3044] * vX_[87] + vX_[445] * vX_[96] + vX_[3148] * vX_[99] + vX_[2207] * vX_[115] + vX_[1799] * vX_[104] + vX_[3178] * vX_[477] + vX_[2315] * vX_[528] + vX_[3412] * vX_[52] + vX_[781] * vX_[484] + vX_[705] * x_in[18]) * 0.207 - (vX_[3010] * vX_[1810] + vX_[3046] * vX_[853] + vX_[1336] * vX_[660] + vX_[3146] * vX_[650] + vX_[3027] * vX_[87] + vX_[1337] * vX_[627] + vX_[2975] * vX_[611] + vX_[3173] * vX_[122] + vX_[3140] * vX_[633] + vX_[1783] * vX_[607] + vX_[3002] * vX_[609] + vX_[3023] * vX_[111] + vX_[2931] * vX_[534] + vX_[3156] * vX_[584] + vX_[2682] * vX_[532] + vX_[1939] * vX_[485] + vX_[2968] * vX_[102] + vX_[3055] * x_in[20])) * vX_[927] + (vX_[2832] * vX_[1855] + vX_[3080] * vX_[1754] + vX_[3015] * vX_[1810] + vX_[3010] * vX_[1898] + vX_[2835] * vX_[859] + vX_[2918] * vX_[883] + vX_[3046] * vX_[848] + vX_[3030] * vX_[853] + vX_[1336] * vX_[663] + vX_[3356] * vX_[659] + vX_[3138] * vX_[660] + vX_[3146] * vX_[104] + vX_[3145] * vX_[650] + vX_[3027] * vX_[594] + vX_[1916] * vX_[87] + vX_[3024] * vX_[627] + vX_[3141] * vX_[633] + vX_[2975] * vX_[608] + vX_[3173] * vX_[112] + vX_[3174] * vX_[122] + vX_[3140] * vX_[634] + vX_[3139] * vX_[611] + vX_[1783] * vX_[530] + vX_[3002] * vX_[610] + vX_[3028] * vX_[607] + vX_[2953] * vX_[609] + vX_[3023] * vX_[121] + vX_[3022] * vX_[111] + vX_[2931] * vX_[537] + vX_[3042] * vX_[533] + vX_[3137] * vX_[534] + vX_[3156] * vX_[585] + vX_[3176] * vX_[584] + vX_[2682] * vX_[481] + vX_[1914] * vX_[532] + vX_[3158] * vX_[485] + vX_[2968] * vX_[100] + (vX_[3052] * vX_[529] + vX_[2030] * vX_[61] + vX_[1907] * vX_[116] + vX_[3166] * vX_[91] + vX_[2890] * vX_[105] + vX_[2405] * vX_[90] + vX_[2621] * vX_[99] + vX_[2877] * vX_[87] + vX_[1248] * vX_[104] + vX_[3175] * vX_[115] + vX_[3052] * vX_[525] + vX_[2053] * vX_[476] + vX_[1907] * vX_[120] + vX_[2890] * vX_[473]) * 0.207 + vX_[1700] * x_in[23] + vX_[705] * x_in[22] + vX_[2880] * x_in[20] + vX_[3055] * x_in[19] + (vX_[2832] * vX_[1898] + vX_[3030] * vX_[859] + vX_[2968] * vX_[88] + vX_[1700] * x_in[19]) * 0.3735 + (vX_[2832] * vX_[1899] + vX_[2985] * vX_[859] + vX_[1700] * x_in[18]) * -0.207 + (vX_[3080] * vX_[1810] + vX_[3046] * vX_[883] + vX_[705] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[1336] = vX_[3295] - vX_[3213];
+ vX_[3290] = vX_[3210] + vX_[3290];
+ vX_[3297] = vX_[3180] + vX_[3297];
+ vX_[3180] = 0 - vX_[3297];
+ vX_[3210] = vX_[1336] * vX_[50];
+ vX_[3166] = vX_[1336] * vX_[88];
+ vX_[3293] = vX_[3154] + vX_[3293];
+ vX_[3326] = vX_[3320] + vX_[3326];
+ vX_[3291] = vX_[3170] + vX_[3291];
+ vX_[3123] = vX_[3117] + vX_[3123];
+ vX_[3117] = vX_[3123] * vX_[88] + vX_[3291] * vX_[50];
+ vX_[3170] = vX_[3123] * vX_[101] + vX_[3291] * vX_[88];
+ vX_[3325] = vX_[3310] + vX_[3325];
+ vX_[3245] = 0 - (vX_[2987] + vX_[3245]) + vX_[3325];
+ vX_[2987] = vX_[3318] - vX_[3205];
+ vX_[3289] = vX_[3163] + vX_[3289];
+ vX_[3328] = vX_[3331] + vX_[3328];
+ vX_[3331] = 0 - vX_[3328];
+ vX_[3163] = vX_[2987] * vX_[50];
+ vX_[3310] = vX_[2987] * vX_[88];
+ vX_[3320] = vX_[3153] + vX_[3068] * 0.207;
+ vX_[3154] = vX_[3129] * vX_[822] + vX_[3165] * vX_[88] + vX_[3068] * vX_[820] + vX_[3012] * vX_[821] + vX_[3118] * vX_[5];
+ vX_[3100] = vX_[3068] * vX_[88] + vX_[3012] * vX_[50];
+ vX_[2968] = vX_[3320] * vX_[833] + vX_[3154] * vX_[64] + vX_[3100] * vX_[834];
+ vX_[2030] = vX_[3320] * vX_[819] + vX_[3154] * vX_[9] + vX_[3100] * vX_[71];
+ vX_[1783] = vX_[2968] * 1 / vX_[41];
+ vX_[783] = vX_[2030] * 1 / vX_[41];
+ vX_[3176] = vX_[3100] * 1 / vX_[41];
+ vX_[3156] = vX_[3320] * 1 / vX_[0];
+ vX_[3002] = vX_[3129] * vX_[88] + vX_[3165] * vX_[50] + vX_[3068] * vX_[102] + vX_[3012] * vX_[100] + vX_[3118] * vX_[811];
+ vX_[3140] = vX_[3002] * 1 / vX_[0];
+ vX_[2814] = vX_[3154] * 1 / vX_[0];
+ vX_[3023] = vX_[3118] * 1 / vX_[0];
+ vX_[1914] = vX_[3100] * 1 / vX_[0];
+ vX_[1939] = vX_[3068] * vX_[101] + vX_[3012] * vX_[88];
+ vX_[2682] = vX_[1939] * 1 / vX_[0];
+ vX_[2931] = vX_[3118] - (vX_[3194] + vX_[3156] * vX_[97] + vX_[3140] * vX_[27] + vX_[2814] * vX_[17] + vX_[3023] * vX_[0] + vX_[1914] * vX_[110] + vX_[2682] * vX_[119]);
+ vX_[3158] = vX_[2931] * vX_[4] + vX_[1939] * vX_[65];
+ vX_[3047] = vX_[3158] * 1 / vX_[41];
+ vX_[3179] = vX_[2931] * vX_[65] + vX_[1939] * vX_[9];
+ vX_[3137] = vX_[3179] * 1 / vX_[41];
+ vX_[3042] = vX_[3100] - (vX_[3227] + vX_[1783] * vX_[26] + vX_[783] * vX_[44] + vX_[3176] * vX_[41] + vX_[3047] * vX_[32] + vX_[3137] * vX_[69]);
+ vX_[3022] = vX_[2968] * vX_[62] + vX_[2030] * vX_[76] + vX_[3042] * vX_[77];
+ vX_[3173] = vX_[2968] * vX_[76] + vX_[2030] * vX_[843] + vX_[3042] * vX_[844];
+ vX_[2953] = vX_[3042] - (vX_[3173] * 38.1956380581338 * 0.1104774 + vX_[3022] * 38.1956380581338 * 0.0004405 + vX_[3042] * 38.1956380581338 * 0.026181);
+ vX_[3028] = vX_[3158] * vX_[76] + vX_[3179] * vX_[79];
+ vX_[2975] = vX_[3022] * 0.881 + (0 - vX_[2953]) * -0.0004405 + vX_[3028] * 8.81e-05;
+ vX_[3139] = vX_[3173] * -0.881;
+ vX_[3174] = vX_[2953] * 0.1104774;
+ vX_[3141] = vX_[3158] * vX_[62] + vX_[3179] * vX_[76];
+ vX_[3138] = vX_[3141] * 8.81e-05;
+ vX_[3356] = vX_[3139] - vX_[3174] + vX_[3138];
+ vX_[3010] = vX_[2975] * vX_[841] + vX_[3356] * vX_[838];
+ vX_[3015] = vX_[2030] * 3.146 + (0 - vX_[3042]) * 0.0825825;
+ vX_[3080] = vX_[2968] * -3.146;
+ vX_[2832] = vX_[3042] * 0.47422804;
+ vX_[1645] = vX_[3080] - vX_[2832];
+ vX_[378] = vX_[3010] + vX_[3015] * vX_[829] + vX_[1645] * vX_[826];
+ vX_[2144] = vX_[3154] * 3.44 + vX_[3100] * 0.5824264;
+ vX_[3694] = 0 - vX_[2144];
+ vX_[165] = vX_[3320] * 3.44 + (0 - vX_[3100]) * 0.1466472;
+ vX_[3380] = vX_[3190] + vX_[3320] * vX_[104] + vX_[3002] * vX_[87] + vX_[3154] * vX_[96] + vX_[3100] * vX_[477] + vX_[1939] * vX_[528];
+ vX_[2946] = vX_[378] + vX_[3694] * vX_[810] + vX_[165] * vX_[816] + vX_[3380] * x_in[33];
+ vX_[3391] = 0 - vX_[2975];
+ vX_[3138] = 0 - vX_[3139] + vX_[3174] - vX_[3138];
+ vX_[3174] = vX_[3002] + vX_[2931] * 0.08;
+ vX_[3139] = vX_[3174] + vX_[3158] * -0.35;
+ vX_[2557] = vX_[3139] * -0.0004405 + vX_[3173] * 8.81e-05 + vX_[3141] * -0.000227999999999999;
+ vX_[2970] = vX_[3139] * 0.1104774 + vX_[3022] * 8.81e-05 + (0 - vX_[3028]) * 0.025713;
+ vX_[1844] = (0 - vX_[3173]) * -0.0004405;
+ vX_[3684] = (0 - vX_[3022]) * 0.1104774;
+ vX_[444] = vX_[1844] + vX_[3684];
+ vX_[444] = vX_[3391] * vX_[845] + vX_[3138] * vX_[836] + vX_[2557] * vX_[841] + vX_[2970] * vX_[838] + vX_[444] * vX_[832] + vX_[444] * vX_[832];
+ vX_[2586] = vX_[3139] * 0.881 + (0 - vX_[3028]) * 0.1104774 + vX_[3141] * -0.0004405;
+ vX_[2381] = vX_[3173] * -0.00185880198235362 + vX_[3022] * 0.880992588508842 + vX_[3028] * 8.81e-05;
+ vX_[3391] = vX_[3391] * vX_[832] + vX_[2586] * vX_[838] + vX_[2381] * x_in[35];
+ vX_[3689] = 0 - vX_[2586];
+ vX_[2999] = vX_[3173] * 0.414812462825713 + vX_[3022] * -0.00185880198235362 + vX_[3141] * -8.81e-05;
+ vX_[3138] = vX_[3138] * vX_[832] + vX_[3689] * vX_[841] - vX_[2999] * x_in[35];
+ vX_[2713] = 0 - vX_[3015];
+ vX_[2832] = 0 - vX_[3080] + vX_[2832];
+ vX_[3080] = vX_[3174] * 0.0825825 + (0 - vX_[3042]) * -0.000102 + vX_[3158] * -0.007418 + vX_[3179] * 0.002735;
+ vX_[3779] = vX_[3174] * 0.47422804 + vX_[3042] * 2.1e-05 + (0 - vX_[3158]) * 0.084376 + (0 - vX_[3179]) * -0.007418;
+ vX_[2849] = (0 - vX_[2968]) * 0.0825825;
+ vX_[2863] = (0 - vX_[2030]) * 0.47422804;
+ vX_[2837] = vX_[3158] * -0.000102;
+ vX_[2229] = (0 - vX_[3179]) * 2.1e-05;
+ vX_[2699] = vX_[2849] + vX_[2863] + vX_[2837] + vX_[2229];
+ vX_[2699] = vX_[444] + vX_[3391] * vX_[844] + vX_[3138] * vX_[77] + vX_[2713] * vX_[835] + vX_[2832] * vX_[824] + vX_[3080] * vX_[829] + vX_[3779] * vX_[826] + vX_[2699] * vX_[818] + vX_[2699] * vX_[818];
+ vX_[3676] = vX_[3174] * 3.146 + (0 - vX_[3158]) * 0.47422804 + vX_[3179] * 0.0825825;
+ vX_[2919] = vX_[3013] + vX_[2968] * vX_[73] + vX_[2030] * vX_[75] + vX_[3158] * vX_[34] + vX_[3179] * vX_[13];
+ vX_[2713] = vX_[3391] * vX_[76] + vX_[3138] * vX_[62] + vX_[2713] * vX_[818] + vX_[3676] * vX_[826] + vX_[2919] * x_in[34];
+ vX_[3031] = 0 - vX_[3676];
+ vX_[2710] = vX_[3152] + vX_[2968] * vX_[80] + vX_[2030] * vX_[73] + vX_[3158] * vX_[21] + vX_[3179] * vX_[24];
+ vX_[2832] = vX_[3391] * vX_[843] + vX_[3138] * vX_[76] + vX_[2832] * vX_[818] + vX_[3031] * vX_[829] - vX_[2710] * x_in[34];
+ vX_[2715] = 0 - vX_[165];
+ vX_[2627] = vX_[3002] * 0.5824264 + (0 - vX_[2931]) * -0.022734 + vX_[3100] * -3.6e-05 + vX_[1939] * -0.133138;
+ vX_[2784] = vX_[3002] * 0.1466472 + vX_[2931] * 0.009466 + (0 - vX_[3100]) * -5.1e-05 + vX_[1939] * -0.022734;
+ vX_[1066] = (0 - vX_[3320]) * 0.5824264;
+ vX_[2749] = (0 - vX_[3154]) * 0.1466472;
+ vX_[2780] = (0 - vX_[2931]) * -3.6e-05;
+ vX_[1867] = (0 - vX_[1939]) * -5.1e-05;
+ vX_[2730] = vX_[1066] + vX_[2749] + vX_[2780] - vX_[1867];
+ vX_[1837] = vX_[3169] + vX_[3320] * vX_[120] + vX_[3002] * vX_[476] + vX_[3154] * vX_[528] + vX_[3100] * vX_[527] + vX_[1939] * vX_[53];
+ vX_[2730] = vX_[2699] + vX_[2713] * vX_[834] + vX_[2832] * vX_[71] + vX_[2144] * vX_[809] + vX_[2715] * vX_[823] + vX_[2627] * vX_[810] + vX_[2784] * vX_[816] + vX_[2730] * vX_[808] + vX_[2730] * vX_[808] + vX_[1837] * x_in[33];
+ vX_[2540] = vX_[3300] - vX_[3205];
+ vX_[2096] = vX_[2540] * vX_[88] + vX_[3289] * vX_[50];
+ vX_[775] = vX_[2540] * vX_[101] + vX_[3289] * vX_[88];
+ vX_[2457] = vX_[775] + vX_[3163];
+ vX_[2343] = vX_[2096] * vX_[101] + vX_[2457] * vX_[88] + vX_[3310] * vX_[50];
+ vX_[1822] = 0 - vX_[2343];
+ vX_[1641] = vX_[3205] + vX_[2096] * vX_[88] + vX_[3163] * vX_[50];
+ vX_[3303] = 0 - vX_[1641];
+ vX_[578] = vX_[3205] + vX_[775] * vX_[101] + vX_[3310] * vX_[88];
+ vX_[3241] = vX_[3164] + vX_[3241] - vX_[3326];
+ vX_[3164] = vX_[3325] * vX_[88] + vX_[3326] * vX_[50];
+ vX_[1324] = 0 - (vX_[3241] * vX_[101] + vX_[3245] * vX_[88]) + vX_[3164];
+ vX_[387] = vX_[1324] + vX_[1641] * vX_[89];
+ vX_[1466] = 0 - vX_[387];
+ vX_[1792] = vX_[3325] * vX_[101] + vX_[3326] * vX_[88];
+ vX_[404] = vX_[3241] * vX_[88] + vX_[3245] * vX_[50] + vX_[1792];
+ vX_[3411] = 0 - vX_[578];
+ vX_[1548] = vX_[404] + vX_[2343] * vX_[89] + vX_[3411] * vX_[5];
+ vX_[3292] = vX_[3219] + vX_[3292];
+ vX_[3219] = vX_[3293] * vX_[88] + vX_[3292] * vX_[101];
+ vX_[3489] = vX_[3219] * vX_[88] + vX_[3170] * vX_[50];
+ vX_[3308] = vX_[3182] + vX_[3308];
+ vX_[3328] = 0 - vX_[3328];
+ vX_[3182] = vX_[3308] * vX_[101] + vX_[3328] * vX_[88];
+ vX_[2011] = 0 - vX_[3182];
+ vX_[1298] = vX_[3489] + vX_[2011] * vX_[5] + vX_[3303] * vX_[103];
+ vX_[1604] = 0 - vX_[1298];
+ vX_[753] = vX_[3293] * vX_[50] + vX_[3292] * vX_[88];
+ vX_[1446] = vX_[753] * vX_[101] + vX_[3117] * vX_[88];
+ vX_[1427] = vX_[3308] * vX_[88] + vX_[3331] * vX_[50];
+ vX_[1247] = 0 - vX_[1427];
+ vX_[971] = vX_[1446] + vX_[1247] * vX_[89] + vX_[578] * vX_[103];
+ vX_[2334] = vX_[753] * vX_[88] + vX_[3117] * vX_[50];
+ vX_[2413] = vX_[2334] + vX_[3182] * vX_[89];
+ vX_[3035] = vX_[3219] * vX_[101] + vX_[3170] * vX_[88];
+ vX_[3409] = vX_[3035] + vX_[1427] * vX_[5] + vX_[1822] * vX_[103];
+ vX_[3385] = 0 - vX_[2413] + vX_[3409];
+ vX_[392] = 0 - vX_[2343];
+ vX_[2598] = 0 - vX_[1641];
+ vX_[3303] = vX_[1822] * vX_[531] + vX_[3303] * vX_[479] + vX_[578] * vX_[61] + vX_[1466] * vX_[104] + vX_[1548] * vX_[115] + vX_[1604] * vX_[96] + vX_[971] * vX_[90] + vX_[3385] * vX_[87] + vX_[2343] * vX_[525] + vX_[392] * vX_[528] + vX_[2598] * vX_[478] + vX_[578] * vX_[482];
+ vX_[1822] = vX_[3002] * -3.44;
+ vX_[2643] = vX_[2931] * 0.1466472;
+ vX_[2677] = vX_[1939] * 0.5824264;
+ vX_[677] = 0 - vX_[1822] + vX_[2643] - vX_[2677];
+ vX_[1370] = vX_[3157] + vX_[3320] * vX_[115] + vX_[3002] * vX_[90] + vX_[3154] * vX_[87] + vX_[3100] * vX_[525] + vX_[1939] * vX_[476];
+ vX_[2715] = vX_[2713] * vX_[64] + vX_[2832] * vX_[9] + vX_[677] * vX_[810] + vX_[2715] * vX_[808] - vX_[1370] * x_in[33];
+ vX_[3205] = vX_[3300] + vX_[3318] + vX_[3205] - vX_[1641] - vX_[578];
+ vX_[3318] = 0 - vX_[3205];
+ vX_[3164] = vX_[3164] + vX_[3318] * vX_[89];
+ vX_[1792] = vX_[1792] + vX_[3205] * vX_[5];
+ vX_[3300] = 0 - vX_[1548];
+ vX_[3405] = 0 - vX_[971];
+ vX_[3327] = vX_[3330] + vX_[3327] + vX_[3292] + vX_[3291] - vX_[2334] - vX_[3035];
+ vX_[3409] = vX_[3327] - vX_[3409];
+ vX_[3330] = 0 - vX_[3182];
+ vX_[3018] = 0 - vX_[2343];
+ vX_[2423] = 0 - vX_[578];
+ vX_[2307] = vX_[3288] - vX_[3213];
+ vX_[3298] = vX_[3155] + vX_[3298];
+ vX_[3155] = vX_[2307] * vX_[88] + vX_[3290] * vX_[50];
+ vX_[2124] = vX_[2307] * vX_[101] + vX_[3290] * vX_[88];
+ vX_[2953] = vX_[3173] * 0.1104774 + vX_[3022] * -0.0004405 + vX_[2953] * 0.025941;
+ vX_[2661] = (0 - vX_[3139]) * 8.81e-05;
+ vX_[3684] = vX_[2661] + vX_[3684];
+ vX_[3141] = vX_[3139] * -0.0004405 + vX_[3173] * -8.81e-05 + vX_[3141] * 0.000468;
+ vX_[3684] = vX_[2975] * vX_[839] + vX_[3689] * vX_[836] + vX_[2557] * vX_[832] + vX_[2953] * vX_[838] + vX_[3684] * vX_[841] + vX_[3684] * vX_[841] + vX_[3141] * x_in[35];
+ vX_[2661] = vX_[2661] + vX_[1844];
+ vX_[3139] = vX_[3139] * -0.1104774 + vX_[3022] * 8.81e-05 + vX_[3028] * 0.026409;
+ jac[1294] = vX_[2999] * vX_[850] + vX_[2381] * vX_[845] + vX_[3139] * vX_[858] + vX_[3141] * vX_[841] + vX_[444];
+ vX_[3139] = vX_[3356] * vX_[839] + vX_[2586] * vX_[845] + vX_[2970] * vX_[832] + vX_[2953] * vX_[841] + vX_[2661] * vX_[838] + vX_[2661] * vX_[838] - vX_[3139] * x_in[35];
+ vX_[2661] = vX_[2968] * 0.47422804 + vX_[2030] * 0.0825825 + vX_[3042] * 0.081641 + (0 - vX_[3158]) * 2.1e-05 + vX_[3179] * -0.000102;
+ vX_[2953] = (0 - vX_[3042]) * -0.007418;
+ vX_[2229] = vX_[2863] + vX_[2953] - vX_[2229];
+ vX_[2863] = vX_[3222] + vX_[3174] * vX_[43] + vX_[2968] * vX_[24] + vX_[2030] * vX_[13] + vX_[3158] * vX_[29] + vX_[3179] * vX_[40];
+ vX_[2229] = vX_[3010] * -0.35 + vX_[3684] * vX_[76] + vX_[3139] * vX_[62] + vX_[3015] * vX_[827] + vX_[3031] * vX_[824] + vX_[3080] * vX_[818] + vX_[2661] * vX_[826] + vX_[2229] * vX_[829] + vX_[2229] * vX_[829] + vX_[2863] * x_in[34];
+ vX_[2953] = vX_[2849] - vX_[2953] - vX_[2837];
+ vX_[2837] = vX_[3069] + vX_[3174] * vX_[30] + vX_[2968] * vX_[21] + vX_[2030] * vX_[34] + vX_[3158] * vX_[7] + vX_[3179] * vX_[29];
+ jac[1258] = vX_[2710] * vX_[868] + vX_[2919] * vX_[835] + vX_[2837] * vX_[865] + vX_[2863] * vX_[829] + vX_[2699];
+ vX_[2837] = vX_[3684] * vX_[79] + vX_[3139] * vX_[76] + vX_[1645] * vX_[827] + vX_[3676] * vX_[835] + vX_[3779] * vX_[818] + vX_[2661] * vX_[829] + vX_[2953] * vX_[826] + vX_[2953] * vX_[826] - vX_[2837] * x_in[34];
+ vX_[2677] = vX_[1822] - vX_[2643] + vX_[2677];
+ vX_[2643] = vX_[3320] * 0.1466472 + vX_[3154] * 0.5824264 + vX_[2931] * -5.1e-05 + (0 - vX_[3100]) * -0.123672 + (0 - vX_[1939]) * -3.6e-05;
+ vX_[1822] = vX_[3100] * -0.022734;
+ vX_[2780] = vX_[1066] - vX_[2780] - vX_[1822];
+ vX_[1066] = vX_[3186] + vX_[3320] * vX_[52] + vX_[3002] * vX_[525] + vX_[3154] * vX_[477] + vX_[3100] * vX_[475] + vX_[1939] * vX_[527];
+ vX_[2780] = vX_[2229] * vX_[65] + vX_[2837] * vX_[9] + vX_[2677] * vX_[809] + vX_[165] * vX_[812] + vX_[2643] * vX_[810] + vX_[2784] * vX_[808] + vX_[2780] * vX_[816] + vX_[2780] * vX_[816] - vX_[1066] * x_in[33];
+ vX_[3297] = 0 - vX_[3297];
+ vX_[2784] = vX_[2124] + vX_[3210];
+ vX_[165] = 0 - vX_[3164];
+ vX_[2953] = 0 - vX_[1792];
+ vX_[3327] = 0 - vX_[3327] + vX_[2413];
+ vX_[2413] = 0 - vX_[1427];
+ jac[574] = 0 - (vX_[3157] * vX_[1754] + vX_[3186] * vX_[1898] + vX_[3165] * vX_[859] + vX_[3012] * vX_[848] + vX_[1336] * vX_[661] + vX_[3290] * vX_[663] + vX_[3180] * vX_[104] + vX_[3210] * vX_[594] + vX_[3166] * vX_[87] + vX_[3293] * vX_[634] + vX_[3326] * vX_[112] + vX_[3291] * vX_[608] + vX_[3117] * vX_[530] + vX_[3170] * vX_[610] + vX_[3245] * vX_[121] + vX_[2987] * vX_[535] + vX_[3289] * vX_[537] + vX_[3331] * vX_[585] + vX_[3163] * vX_[481] + vX_[3310] * vX_[532] + vX_[2946] * x_in[22] + vX_[2730] * x_in[19] + (vX_[3157] * vX_[1810] + vX_[3068] * vX_[859] + vX_[3303] * vX_[101] + vX_[2946] * x_in[20]) * -0.3735 - (vX_[3190] * vX_[1855] + vX_[3129] * vX_[883] + vX_[2715] * x_in[23]) + (vX_[3190] * vX_[1898] + vX_[3012] * vX_[883] + vX_[2715] * x_in[19]) * -0.3735 + (vX_[3190] * vX_[1899] + vX_[3118] * vX_[883] + vX_[2011] * vX_[479] + vX_[1427] * vX_[531] + vX_[3205] * vX_[114] + vX_[3411] * vX_[116] + vX_[3164] * vX_[87] + vX_[1792] * vX_[96] + vX_[3300] * vX_[99] + vX_[3405] * vX_[115] + vX_[3409] * vX_[104] + vX_[3330] * vX_[477] + vX_[1427] * vX_[528] + vX_[3018] * vX_[52] + vX_[2423] * vX_[484] + vX_[2715] * x_in[18]) * 0.207 - (vX_[3169] * vX_[1810] + vX_[3068] * vX_[853] + vX_[2307] * vX_[660] + vX_[3298] * vX_[650] + vX_[3155] * vX_[87] + vX_[2124] * vX_[627] + vX_[3123] * vX_[611] + vX_[3325] * vX_[122] + vX_[3292] * vX_[633] + vX_[753] * vX_[607] + vX_[3219] * vX_[609] + vX_[3241] * vX_[111] + vX_[2540] * vX_[534] + vX_[3308] * vX_[584] + vX_[2096] * vX_[532] + vX_[775] * vX_[485] + vX_[3303] * vX_[102] + vX_[2780] * x_in[20])) * vX_[927] + (vX_[3157] * vX_[1855] + vX_[3190] * vX_[1754] + vX_[3186] * vX_[1810] + vX_[3169] * vX_[1898] + vX_[3129] * vX_[859] + vX_[3165] * vX_[883] + vX_[3068] * vX_[848] + vX_[3012] * vX_[853] + vX_[2307] * vX_[663] + vX_[1336] * vX_[659] + vX_[3290] * vX_[660] + vX_[3298] * vX_[104] + vX_[3297] * vX_[650] + vX_[3155] * vX_[594] + vX_[2784] * vX_[87] + vX_[3166] * vX_[627] + vX_[3293] * vX_[633] + vX_[3123] * vX_[608] + vX_[3325] * vX_[112] + vX_[3326] * vX_[122] + vX_[3292] * vX_[634] + vX_[3291] * vX_[611] + vX_[753] * vX_[530] + vX_[3219] * vX_[610] + vX_[3117] * vX_[607] + vX_[3170] * vX_[609] + vX_[3241] * vX_[121] + vX_[3245] * vX_[111] + vX_[2540] * vX_[537] + vX_[2987] * vX_[533] + vX_[3289] * vX_[534] + vX_[3308] * vX_[585] + vX_[3328] * vX_[584] + vX_[2096] * vX_[481] + vX_[2457] * vX_[532] + vX_[3310] * vX_[485] + vX_[3303] * vX_[100] + (vX_[3182] * vX_[529] + vX_[1247] * vX_[61] + vX_[2343] * vX_[116] + vX_[3318] * vX_[91] + vX_[1641] * vX_[105] + vX_[165] * vX_[90] + vX_[387] * vX_[99] + vX_[2953] * vX_[87] + vX_[1298] * vX_[104] + vX_[3327] * vX_[115] + vX_[3182] * vX_[525] + vX_[2413] * vX_[476] + vX_[2343] * vX_[120] + vX_[1641] * vX_[473]) * 0.207 + vX_[2946] * x_in[23] + vX_[2715] * x_in[22] + vX_[2730] * x_in[20] + vX_[2780] * x_in[19] + (vX_[3157] * vX_[1898] + vX_[3012] * vX_[859] + vX_[3303] * vX_[88] + vX_[2946] * x_in[19]) * 0.3735 + (vX_[3157] * vX_[1899] + vX_[3118] * vX_[859] + vX_[2946] * x_in[18]) * -0.207 + (vX_[3190] * vX_[1810] + vX_[3068] * vX_[883] + vX_[2715] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[2307] = vX_[703] - vX_[1016];
+ vX_[3441] = vX_[3362] + vX_[3441];
+ vX_[3444] = vX_[3332] + vX_[3444];
+ vX_[3332] = 0 - vX_[3444];
+ vX_[3362] = vX_[2307] * vX_[50];
+ vX_[3318] = vX_[2307] * vX_[88];
+ vX_[3442] = vX_[3306] + vX_[3442];
+ vX_[3461] = vX_[728] + vX_[3461];
+ vX_[861] = vX_[3322] + vX_[861];
+ vX_[3393] = vX_[3269] + vX_[3393];
+ vX_[3269] = vX_[3393] * vX_[88] + vX_[861] * vX_[50];
+ vX_[3322] = vX_[3393] * vX_[101] + vX_[861] * vX_[88];
+ vX_[3460] = vX_[1014] + vX_[3460];
+ vX_[700] = 0 - (vX_[3237] + vX_[700]) + vX_[3460];
+ vX_[3237] = vX_[922] - vX_[1052];
+ vX_[645] = vX_[3315] + vX_[645];
+ vX_[3463] = vX_[1050] + vX_[3463];
+ vX_[1050] = 0 - vX_[3463];
+ vX_[3315] = vX_[3237] * vX_[50];
+ vX_[1014] = vX_[3237] * vX_[88];
+ vX_[728] = vX_[3305] + vX_[3125] * 0.207;
+ vX_[3306] = vX_[682] * vX_[822] + vX_[3317] * vX_[88] + vX_[3125] * vX_[820] + vX_[3242] * vX_[821] + vX_[3358] * vX_[5];
+ vX_[3205] = vX_[3125] * vX_[88] + vX_[3242] * vX_[50];
+ vX_[3303] = vX_[728] * vX_[833] + vX_[3306] * vX_[64] + vX_[3205] * vX_[834];
+ vX_[1247] = vX_[728] * vX_[819] + vX_[3306] * vX_[9] + vX_[3205] * vX_[71];
+ vX_[753] = vX_[3303] * 1 / vX_[41];
+ vX_[2011] = vX_[1247] * 1 / vX_[41];
+ vX_[3328] = vX_[3205] * 1 / vX_[41];
+ vX_[3308] = vX_[728] * 1 / vX_[0];
+ vX_[3219] = vX_[682] * vX_[88] + vX_[3317] * vX_[50] + vX_[3125] * vX_[102] + vX_[3242] * vX_[100] + vX_[3358] * vX_[811];
+ vX_[3292] = vX_[3219] * 1 / vX_[0];
+ vX_[3411] = vX_[3306] * 1 / vX_[0];
+ vX_[3241] = vX_[3358] * 1 / vX_[0];
+ vX_[2457] = vX_[3205] * 1 / vX_[0];
+ vX_[775] = vX_[3125] * vX_[101] + vX_[3242] * vX_[88];
+ vX_[2096] = vX_[775] * 1 / vX_[0];
+ vX_[2540] = vX_[3358] - (vX_[3294] + vX_[3308] * vX_[97] + vX_[3292] * vX_[27] + vX_[3411] * vX_[17] + vX_[3241] * vX_[0] + vX_[2457] * vX_[110] + vX_[2096] * vX_[119]);
+ vX_[3310] = vX_[2540] * vX_[4] + vX_[775] * vX_[65];
+ vX_[3163] = vX_[3310] * 1 / vX_[41];
+ vX_[3331] = vX_[2540] * vX_[65] + vX_[775] * vX_[9];
+ vX_[3289] = vX_[3331] * 1 / vX_[41];
+ vX_[2987] = vX_[3205] - (vX_[3378] + vX_[753] * vX_[26] + vX_[2011] * vX_[44] + vX_[3328] * vX_[41] + vX_[3163] * vX_[32] + vX_[3289] * vX_[69]);
+ vX_[3245] = vX_[3303] * vX_[62] + vX_[1247] * vX_[76] + vX_[2987] * vX_[77];
+ vX_[3325] = vX_[3303] * vX_[76] + vX_[1247] * vX_[843] + vX_[2987] * vX_[844];
+ vX_[3170] = vX_[2987] - (38.1956380581338 + vX_[3325] * 38.1956380581338 * 0.1104774 + vX_[3245] * 38.1956380581338 * 0.0004405 + vX_[2987] * 38.1956380581338 * 0.026181);
+ vX_[3117] = vX_[3310] * vX_[76] + vX_[3331] * vX_[79];
+ vX_[3123] = vX_[3245] * 0.881 + (0 - vX_[3170]) * -0.0004405 + vX_[3117] * 8.81e-05;
+ vX_[3291] = vX_[3325] * -0.881;
+ vX_[3326] = vX_[3170] * 0.1104774;
+ vX_[3293] = vX_[3310] * vX_[62] + vX_[3331] * vX_[76];
+ vX_[3290] = vX_[3293] * 8.81e-05;
+ vX_[1336] = vX_[3291] - vX_[3326] + vX_[3290];
+ vX_[3169] = vX_[3123] * vX_[841] + vX_[1336] * vX_[838];
+ vX_[3186] = vX_[1247] * 3.146 + (0 - vX_[2987]) * 0.0825825;
+ vX_[3190] = vX_[3303] * -3.146;
+ vX_[3157] = vX_[2987] * 0.47422804;
+ vX_[2661] = vX_[3190] - vX_[3157];
+ vX_[3676] = vX_[3169] + vX_[3186] * vX_[829] + vX_[2661] * vX_[826];
+ vX_[3779] = vX_[3306] * 3.44 + vX_[3205] * 0.5824264;
+ vX_[1645] = 0 - vX_[3779];
+ vX_[2863] = vX_[728] * 3.44 + (0 - vX_[3205]) * 0.1466472;
+ vX_[2710] = vX_[3341] + vX_[728] * vX_[104] + vX_[3219] * vX_[87] + vX_[3306] * vX_[96] + vX_[3205] * vX_[477] + vX_[775] * vX_[528];
+ vX_[2919] = vX_[3676] + vX_[1645] * vX_[810] + vX_[2863] * vX_[816] + vX_[2710] * x_in[33];
+ vX_[2699] = 0 - vX_[3123];
+ vX_[3290] = 0 - vX_[3291] + vX_[3326] - vX_[3290];
+ vX_[3326] = vX_[3219] + vX_[2540] * 0.08;
+ vX_[3291] = vX_[3326] + vX_[3310] * -0.35;
+ vX_[2849] = vX_[3291] * -0.0004405 + vX_[3325] * 8.81e-05 + vX_[3293] * -0.000227999999999999;
+ vX_[3031] = vX_[3291] * 0.1104774 + vX_[3245] * 8.81e-05 + (0 - vX_[3117]) * 0.025713;
+ vX_[3080] = (0 - vX_[3325]) * -0.0004405;
+ vX_[3015] = (0 - vX_[3245]) * 0.1104774;
+ vX_[3010] = vX_[3080] + vX_[3015];
+ vX_[3010] = vX_[2699] * vX_[845] + vX_[3290] * vX_[836] + vX_[2849] * vX_[841] + vX_[3031] * vX_[838] + vX_[3010] * vX_[832] + vX_[3010] * vX_[832];
+ vX_[2586] = vX_[3291] * 0.881 + (0 - vX_[3117]) * 0.1104774 + vX_[3293] * -0.0004405;
+ vX_[2970] = -0.0168251785646079 + vX_[3325] * -0.00185880198235362 + vX_[3245] * 0.880992588508842 + vX_[3117] * 8.81e-05;
+ vX_[2699] = vX_[2699] * vX_[832] + vX_[2586] * vX_[838] + vX_[2970] * x_in[35];
+ vX_[3356] = 0 - vX_[2586];
+ vX_[3141] = -4.21975478400367 + vX_[3325] * 0.414812462825713 + vX_[3245] * -0.00185880198235362 + vX_[3293] * -8.81e-05;
+ vX_[3290] = vX_[3290] * vX_[832] + vX_[3356] * vX_[841] - vX_[3141] * x_in[35];
+ vX_[2999] = 0 - vX_[3186];
+ vX_[3157] = 0 - vX_[3190] + vX_[3157];
+ vX_[3190] = vX_[3326] * 0.0825825 + (0 - vX_[2987]) * -0.000102 + vX_[3310] * -0.007418 + vX_[3331] * 0.002735;
+ vX_[2381] = vX_[3326] * 0.47422804 + vX_[2987] * 2.1e-05 + (0 - vX_[3310]) * 0.084376 + (0 - vX_[3331]) * -0.007418;
+ vX_[444] = (0 - vX_[3303]) * 0.0825825;
+ vX_[3028] = (0 - vX_[1247]) * 0.47422804;
+ vX_[3022] = vX_[3310] * -0.000102;
+ vX_[1844] = (0 - vX_[3331]) * 2.1e-05;
+ vX_[3689] = vX_[444] + vX_[3028] + vX_[3022] + vX_[1844];
+ vX_[3689] = vX_[3010] + vX_[2699] * vX_[844] + vX_[3290] * vX_[77] + vX_[2999] * vX_[835] + vX_[3157] * vX_[824] + vX_[3190] * vX_[829] + vX_[2381] * vX_[826] + vX_[3689] * vX_[818] + vX_[3689] * vX_[818];
+ vX_[844] = vX_[3326] * 3.146 + (0 - vX_[3310]) * 0.47422804 + vX_[3331] * 0.0825825;
+ vX_[2557] = vX_[3343] + vX_[3303] * vX_[73] + vX_[1247] * vX_[75] + vX_[3310] * vX_[34] + vX_[3331] * vX_[13];
+ vX_[2999] = vX_[2699] * vX_[76] + vX_[3290] * vX_[62] + vX_[2999] * vX_[818] + vX_[844] * vX_[826] + vX_[2557] * x_in[34];
+ vX_[2975] = 0 - vX_[844];
+ vX_[3173] = vX_[3324] + vX_[3303] * vX_[80] + vX_[1247] * vX_[73] + vX_[3310] * vX_[21] + vX_[3331] * vX_[24];
+ vX_[3157] = vX_[2699] * vX_[843] + vX_[3290] * vX_[76] + vX_[3157] * vX_[818] + vX_[2975] * vX_[829] - vX_[3173] * x_in[34];
+ vX_[843] = 0 - vX_[2863];
+ vX_[726] = vX_[3219] * 0.5824264 + (0 - vX_[2540]) * -0.022734 + vX_[3205] * -3.6e-05 + vX_[775] * -0.133138;
+ vX_[1835] = vX_[3219] * 0.1466472 + vX_[2540] * 0.009466 + (0 - vX_[3205]) * -5.1e-05 + vX_[775] * -0.022734;
+ vX_[2520] = (0 - vX_[728]) * 0.5824264;
+ vX_[3540] = (0 - vX_[3306]) * 0.1466472;
+ vX_[3062] = (0 - vX_[2540]) * -3.6e-05;
+ vX_[3365] = (0 - vX_[775]) * -5.1e-05;
+ vX_[2812] = vX_[2520] + vX_[3540] + vX_[3062] - vX_[3365];
+ vX_[53] = vX_[3321] + vX_[728] * vX_[120] + vX_[3219] * vX_[476] + vX_[3306] * vX_[528] + vX_[3205] * vX_[527] + vX_[775] * vX_[53];
+ vX_[2812] = vX_[3689] + vX_[2999] * vX_[834] + vX_[3157] * vX_[71] + vX_[3779] * vX_[809] + vX_[843] * vX_[823] + vX_[726] * vX_[810] + vX_[1835] * vX_[816] + vX_[2812] * vX_[808] + vX_[2812] * vX_[808] + vX_[53] * x_in[33];
+ vX_[566] = vX_[595] - vX_[1052];
+ vX_[3054] = vX_[566] * vX_[88] + vX_[645] * vX_[50];
+ vX_[3382] = vX_[566] * vX_[101] + vX_[645] * vX_[88];
+ vX_[2391] = vX_[3382] + vX_[3315];
+ vX_[3276] = vX_[3054] * vX_[101] + vX_[2391] * vX_[88] + vX_[1014] * vX_[50];
+ vX_[3161] = 0 - vX_[3276];
+ vX_[1906] = vX_[1052] + vX_[3054] * vX_[88] + vX_[3315] * vX_[50];
+ vX_[2488] = 0 - vX_[1906];
+ vX_[1846] = vX_[1052] + vX_[3382] * vX_[101] + vX_[1014] * vX_[88];
+ vX_[694] = vX_[3316] + vX_[694] - vX_[3461];
+ vX_[3316] = vX_[3460] * vX_[88] + vX_[3461] * vX_[50];
+ vX_[1575] = 0 - (vX_[694] * vX_[101] + vX_[700] * vX_[88]) + vX_[3316];
+ vX_[3231] = vX_[1575] + vX_[1906] * vX_[89];
+ vX_[2455] = 0 - vX_[3231];
+ vX_[2436] = vX_[3460] * vX_[101] + vX_[3461] * vX_[88];
+ vX_[765] = vX_[694] * vX_[88] + vX_[700] * vX_[50] + vX_[2436];
+ vX_[275] = 0 - vX_[1846];
+ vX_[2735] = vX_[765] + vX_[3276] * vX_[89] + vX_[275] * vX_[5];
+ vX_[680] = vX_[3371] + vX_[680];
+ vX_[3371] = vX_[3442] * vX_[88] + vX_[680] * vX_[101];
+ vX_[2318] = vX_[3371] * vX_[88] + vX_[3322] * vX_[50];
+ vX_[692] = vX_[3346] + vX_[692];
+ vX_[3463] = 0 - vX_[3463];
+ vX_[3346] = vX_[692] * vX_[101] + vX_[3463] * vX_[88];
+ vX_[2264] = 0 - vX_[3346];
+ vX_[2810] = vX_[2318] + vX_[2264] * vX_[5] + vX_[2488] * vX_[103];
+ vX_[1109] = 0 - vX_[2810];
+ vX_[1414] = vX_[3442] * vX_[50] + vX_[680] * vX_[88];
+ vX_[1328] = vX_[1414] * vX_[101] + vX_[3269] * vX_[88];
+ vX_[1768] = vX_[692] * vX_[88] + vX_[1050] * vX_[50];
+ vX_[2487] = 0 - vX_[1768];
+ vX_[463] = vX_[1328] + vX_[2487] * vX_[89] + vX_[1846] * vX_[103];
+ vX_[1638] = vX_[1414] * vX_[88] + vX_[3269] * vX_[50];
+ vX_[3641] = vX_[1638] + vX_[3346] * vX_[89];
+ vX_[1740] = vX_[3371] * vX_[101] + vX_[3322] * vX_[88];
+ vX_[2369] = vX_[1740] + vX_[1768] * vX_[5] + vX_[3161] * vX_[103];
+ vX_[2465] = 0 - vX_[3641] + vX_[2369];
+ vX_[2014] = 0 - vX_[3276];
+ vX_[3159] = 0 - vX_[1906];
+ vX_[2488] = vX_[3161] * vX_[531] + vX_[2488] * vX_[479] + vX_[1846] * vX_[61] + vX_[2455] * vX_[104] + vX_[2735] * vX_[115] + vX_[1109] * vX_[96] + vX_[463] * vX_[90] + vX_[2465] * vX_[87] + vX_[3276] * vX_[525] + vX_[2014] * vX_[528] + vX_[3159] * vX_[478] + vX_[1846] * vX_[482];
+ vX_[3161] = vX_[3219] * -3.44;
+ vX_[482] = vX_[2540] * 0.1466472;
+ vX_[478] = vX_[775] * 0.5824264;
+ vX_[2079] = 0 - vX_[3161] + vX_[482] - vX_[478];
+ vX_[2541] = vX_[3319] + vX_[728] * vX_[115] + vX_[3219] * vX_[90] + vX_[3306] * vX_[87] + vX_[3205] * vX_[525] + vX_[775] * vX_[476];
+ vX_[843] = vX_[2999] * vX_[64] + vX_[3157] * vX_[9] + vX_[2079] * vX_[810] + vX_[843] * vX_[808] - vX_[2541] * x_in[33];
+ vX_[1052] = vX_[595] + vX_[922] + vX_[1052] - vX_[1906] - vX_[1846];
+ vX_[922] = 0 - vX_[1052];
+ vX_[3316] = vX_[3316] + vX_[922] * vX_[89];
+ vX_[2436] = vX_[2436] + vX_[1052] * vX_[5];
+ vX_[595] = 0 - vX_[2735];
+ vX_[2302] = 0 - vX_[463];
+ vX_[3462] = vX_[3465] + vX_[3462] + vX_[680] + vX_[861] - vX_[1638] - vX_[1740];
+ vX_[2369] = vX_[3462] - vX_[2369];
+ vX_[3465] = 0 - vX_[3346];
+ vX_[3200] = 0 - vX_[3276];
+ vX_[2448] = 0 - vX_[1846];
+ vX_[2283] = vX_[3439] - vX_[1016];
+ vX_[3445] = vX_[3307] + vX_[3445];
+ vX_[3307] = vX_[2283] * vX_[88] + vX_[3441] * vX_[50];
+ vX_[621] = vX_[2283] * vX_[101] + vX_[3441] * vX_[88];
+ vX_[3170] = vX_[3325] * 0.1104774 + vX_[3245] * -0.0004405 + vX_[3170] * 0.025941;
+ vX_[619] = (0 - vX_[3291]) * 8.81e-05;
+ vX_[3015] = vX_[619] + vX_[3015];
+ vX_[3293] = vX_[3291] * -0.0004405 + vX_[3325] * -8.81e-05 + vX_[3293] * 0.000468;
+ vX_[3015] = vX_[3123] * vX_[839] + vX_[3356] * vX_[836] + vX_[2849] * vX_[832] + vX_[3170] * vX_[838] + vX_[3015] * vX_[841] + vX_[3015] * vX_[841] + vX_[3293] * x_in[35];
+ vX_[619] = vX_[619] + vX_[3080];
+ vX_[3291] = vX_[3291] * -0.1104774 + vX_[3245] * 8.81e-05 + vX_[3117] * 0.026409;
+ jac[1295] = vX_[3141] * vX_[850] + vX_[2970] * vX_[845] + vX_[3291] * vX_[858] + vX_[3293] * vX_[841] + vX_[3010];
+ vX_[3291] = vX_[1336] * vX_[839] + vX_[2586] * vX_[845] + vX_[3031] * vX_[832] + vX_[3170] * vX_[841] + vX_[619] * vX_[838] + vX_[619] * vX_[838] - vX_[3291] * x_in[35];
+ vX_[619] = vX_[3303] * 0.47422804 + vX_[1247] * 0.0825825 + vX_[2987] * 0.081641 + (0 - vX_[3310]) * 2.1e-05 + vX_[3331] * -0.000102;
+ vX_[3170] = (0 - vX_[2987]) * -0.007418;
+ vX_[1844] = vX_[3028] + vX_[3170] - vX_[1844];
+ vX_[40] = vX_[3334] + vX_[3326] * vX_[43] + vX_[3303] * vX_[24] + vX_[1247] * vX_[13] + vX_[3310] * vX_[29] + vX_[3331] * vX_[40];
+ vX_[1844] = vX_[3169] * -0.35 + vX_[3015] * vX_[76] + vX_[3291] * vX_[62] + vX_[3186] * vX_[827] + vX_[2975] * vX_[824] + vX_[3190] * vX_[818] + vX_[619] * vX_[826] + vX_[1844] * vX_[829] + vX_[1844] * vX_[829] + vX_[40] * x_in[34];
+ vX_[3170] = vX_[444] - vX_[3170] - vX_[3022];
+ vX_[7] = vX_[3375] + vX_[3326] * vX_[30] + vX_[3303] * vX_[21] + vX_[1247] * vX_[34] + vX_[3310] * vX_[7] + vX_[3331] * vX_[29];
+ jac[1259] = vX_[3173] * vX_[868] + vX_[2557] * vX_[835] + vX_[7] * vX_[865] + vX_[40] * vX_[829] + vX_[3689];
+ vX_[7] = vX_[3015] * vX_[79] + vX_[3291] * vX_[76] + vX_[2661] * vX_[827] + vX_[844] * vX_[835] + vX_[2381] * vX_[818] + vX_[619] * vX_[829] + vX_[3170] * vX_[826] + vX_[3170] * vX_[826] - vX_[7] * x_in[34];
+ vX_[478] = vX_[3161] - vX_[482] + vX_[478];
+ vX_[482] = vX_[728] * 0.1466472 + vX_[3306] * 0.5824264 + vX_[2540] * -5.1e-05 + (0 - vX_[3205]) * -0.123672 + (0 - vX_[775]) * -3.6e-05;
+ vX_[3161] = vX_[3205] * -0.022734;
+ vX_[3062] = vX_[2520] - vX_[3062] - vX_[3161];
+ vX_[527] = vX_[3379] + vX_[728] * vX_[52] + vX_[3219] * vX_[525] + vX_[3306] * vX_[477] + vX_[3205] * vX_[475] + vX_[775] * vX_[527];
+ vX_[3062] = vX_[1844] * vX_[65] + vX_[7] * vX_[9] + vX_[478] * vX_[809] + vX_[2863] * vX_[812] + vX_[482] * vX_[810] + vX_[1835] * vX_[808] + vX_[3062] * vX_[816] + vX_[3062] * vX_[816] - vX_[527] * x_in[33];
+ vX_[3444] = 0 - vX_[3444];
+ vX_[1835] = vX_[621] + vX_[3362];
+ vX_[2863] = 0 - vX_[3316];
+ vX_[475] = 0 - vX_[2436];
+ vX_[3462] = 0 - vX_[3462] + vX_[3641];
+ vX_[3641] = 0 - vX_[1768];
+ jac[575] = 0 - (vX_[3319] * vX_[1754] + vX_[3379] * vX_[1898] + vX_[3317] * vX_[859] + vX_[3242] * vX_[848] + vX_[2307] * vX_[661] + vX_[3441] * vX_[663] + vX_[3332] * vX_[104] + vX_[3362] * vX_[594] + vX_[3318] * vX_[87] + vX_[3442] * vX_[634] + vX_[3461] * vX_[112] + vX_[861] * vX_[608] + vX_[3269] * vX_[530] + vX_[3322] * vX_[610] + vX_[700] * vX_[121] + vX_[3237] * vX_[535] + vX_[645] * vX_[537] + vX_[1050] * vX_[585] + vX_[3315] * vX_[481] + vX_[1014] * vX_[532] + vX_[2919] * x_in[22] + vX_[2812] * x_in[19] + (vX_[3319] * vX_[1810] + vX_[3125] * vX_[859] + vX_[2488] * vX_[101] + vX_[2919] * x_in[20]) * -0.3735 - (vX_[3341] * vX_[1855] + vX_[682] * vX_[883] + vX_[843] * x_in[23]) + (vX_[3341] * vX_[1898] + vX_[3242] * vX_[883] + vX_[843] * x_in[19]) * -0.3735 + (vX_[3341] * vX_[1899] + vX_[3358] * vX_[883] + vX_[2264] * vX_[479] + vX_[1768] * vX_[531] + vX_[1052] * vX_[114] + vX_[275] * vX_[116] + vX_[3316] * vX_[87] + vX_[2436] * vX_[96] + vX_[595] * vX_[99] + vX_[2302] * vX_[115] + vX_[2369] * vX_[104] + vX_[3465] * vX_[477] + vX_[1768] * vX_[528] + vX_[3200] * vX_[52] + vX_[2448] * vX_[484] + vX_[843] * x_in[18]) * 0.207 - (vX_[3321] * vX_[1810] + vX_[3125] * vX_[853] + vX_[2283] * vX_[660] + vX_[3445] * vX_[650] + vX_[3307] * vX_[87] + vX_[621] * vX_[627] + vX_[3393] * vX_[611] + vX_[3460] * vX_[122] + vX_[680] * vX_[633] + vX_[1414] * vX_[607] + vX_[3371] * vX_[609] + vX_[694] * vX_[111] + vX_[566] * vX_[534] + vX_[692] * vX_[584] + vX_[3054] * vX_[532] + vX_[3382] * vX_[485] + vX_[2488] * vX_[102] + vX_[3062] * x_in[20])) * vX_[927] + (vX_[3319] * vX_[1855] + vX_[3341] * vX_[1754] + vX_[3379] * vX_[1810] + vX_[3321] * vX_[1898] + vX_[682] * vX_[859] + vX_[3317] * vX_[883] + vX_[3125] * vX_[848] + vX_[3242] * vX_[853] + vX_[2283] * vX_[663] + vX_[2307] * vX_[659] + vX_[3441] * vX_[660] + vX_[3445] * vX_[104] + vX_[3444] * vX_[650] + vX_[3307] * vX_[594] + vX_[1835] * vX_[87] + vX_[3318] * vX_[627] + vX_[3442] * vX_[633] + vX_[3393] * vX_[608] + vX_[3460] * vX_[112] + vX_[3461] * vX_[122] + vX_[680] * vX_[634] + vX_[861] * vX_[611] + vX_[1414] * vX_[530] + vX_[3371] * vX_[610] + vX_[3269] * vX_[607] + vX_[3322] * vX_[609] + vX_[694] * vX_[121] + vX_[700] * vX_[111] + vX_[566] * vX_[537] + vX_[3237] * vX_[533] + vX_[645] * vX_[534] + vX_[692] * vX_[585] + vX_[3463] * vX_[584] + vX_[3054] * vX_[481] + vX_[2391] * vX_[532] + vX_[1014] * vX_[485] + vX_[2488] * vX_[100] + (vX_[3346] * vX_[529] + vX_[2487] * vX_[61] + vX_[3276] * vX_[116] + vX_[922] * vX_[91] + vX_[1906] * vX_[105] + vX_[2863] * vX_[90] + vX_[3231] * vX_[99] + vX_[475] * vX_[87] + vX_[2810] * vX_[104] + vX_[3462] * vX_[115] + vX_[3346] * vX_[525] + vX_[3641] * vX_[476] + vX_[3276] * vX_[120] + vX_[1906] * vX_[473]) * 0.207 + vX_[2919] * x_in[23] + vX_[843] * x_in[22] + vX_[2812] * x_in[20] + vX_[3062] * x_in[19] + (vX_[3319] * vX_[1898] + vX_[3242] * vX_[859] + vX_[2488] * vX_[88] + vX_[2919] * x_in[19]) * 0.3735 + (vX_[3319] * vX_[1899] + vX_[3358] * vX_[859] + vX_[2919] * x_in[18]) * -0.207 + (vX_[3341] * vX_[1810] + vX_[3125] * vX_[883] + vX_[843] * x_in[20]) * -0.3735) * vX_[130];
+ vX_[615] = vX_[712] * vX_[88] + vX_[695] * vX_[50] + vX_[3710] * vX_[103] + vX_[3511] * vX_[89] + vX_[615] * vX_[5] + vX_[1039] * vX_[878];
+ vX_[3511] = 0 - vX_[615];
+ vX_[717] = 0 - (vX_[647] * vX_[101] + vX_[890] * vX_[88] + vX_[3585] * vX_[50] + vX_[538] * vX_[5] + vX_[717] * vX_[89] + vX_[643] * vX_[103] + vX_[495] * vX_[878] + vX_[632] * vX_[877]);
+ vX_[3655] = vX_[713] + vX_[3655] * vX_[101] + vX_[3585] * vX_[88];
+ vX_[206] = vX_[3655] + vX_[206] * vX_[5] + vX_[3510] * vX_[103] + vX_[632] * vX_[878];
+ vX_[3510] = 0 - vX_[206];
+ vX_[1049] = vX_[3361] + vX_[1049] * vX_[5] + vX_[3682] * vX_[103] * 2. + vX_[632] * vX_[874] + vX_[2463] * vX_[878];
+ vX_[3682] = 0 - vX_[1049];
+ vX_[3686] = vX_[3675] + vX_[979] * vX_[5] + vX_[3686] * vX_[103] + vX_[632] * vX_[875] + vX_[3281] * vX_[878];
+ vX_[3675] = 0 - vX_[3686];
+ vX_[979] = (vX_[3510] * vX_[17] + vX_[3682] * vX_[110] + vX_[3675] * vX_[119]) * 1 / vX_[0];
+ vX_[3510] = vX_[910] * vX_[831] + vX_[3511] * vX_[98] + vX_[717] * vX_[86] + vX_[3510] * vX_[113] + vX_[979];
+ vX_[3693] = vX_[901] + vX_[929] * vX_[89] + vX_[3693] * vX_[5] * 2. + vX_[1039] * vX_[875];
+ vX_[901] = vX_[3693] * vX_[4] + vX_[3686] * vX_[65];
+ vX_[3361] = vX_[3693] * vX_[65] + vX_[3686] * vX_[9];
+ vX_[3651] = vX_[143] + vX_[3651] * vX_[5] + vX_[3760] * vX_[89] * 2. + vX_[1039] * vX_[874];
+ vX_[1046] = 0 - (0 - (vX_[712] * vX_[101] + vX_[830] * vX_[88]) + vX_[3271] * vX_[103] + vX_[3688] * vX_[5] + vX_[1046] * vX_[89] + vX_[1039] * vX_[877]);
+ vX_[647] = vX_[713] + vX_[647] * vX_[88] + vX_[701] * vX_[50];
+ vX_[3738] = 0 - (vX_[647] + vX_[3738] * vX_[89] + vX_[970] * vX_[103] + vX_[495] * vX_[877]);
+ vX_[3568] = 0 - (vX_[3568] + vX_[754] * vX_[89] + vX_[929] * vX_[103] + vX_[495] * vX_[874] + vX_[2463] * vX_[877]);
+ vX_[3649] = vX_[3509] + vX_[3649] * vX_[89] + vX_[157] * vX_[103] * 2. + vX_[495] * vX_[875] + vX_[3281] * vX_[877];
+ vX_[3509] = 0 - vX_[3649];
+ vX_[717] = (vX_[3738] * vX_[27] + vX_[717] * vX_[17] + vX_[3568] * vX_[110] + vX_[3509] * vX_[119]) * 1 / vX_[0];
+ vX_[3738] = 0 - vX_[3651] + vX_[914] * vX_[831] + vX_[1046] * vX_[98] + vX_[3738] * vX_[86] + vX_[717];
+ vX_[495] = 0 - vX_[3693];
+ vX_[929] = vX_[929] + vX_[2463] * vX_[875] + vX_[3281] * vX_[874];
+ vX_[754] = 0 - vX_[929];
+ vX_[157] = vX_[157] + vX_[3281] * vX_[875];
+ vX_[970] = 0 - vX_[157];
+ vX_[701] = vX_[970] * vX_[119] * 1 / vX_[0];
+ vX_[970] = vX_[496] * vX_[831] + vX_[495] * vX_[98] + vX_[3509] * vX_[86] + vX_[3675] * vX_[113] + vX_[754] * vX_[474] + vX_[970] * vX_[483] + vX_[701];
+ vX_[3509] = 0 - vX_[3651];
+ vX_[3760] = vX_[3760] + vX_[2463] * vX_[874];
+ vX_[3675] = 0 - vX_[3760];
+ vX_[754] = (vX_[3675] * vX_[110] + vX_[754] * vX_[119]) * 1 / vX_[0];
+ vX_[3675] = vX_[3654] * vX_[831] + vX_[3509] * vX_[98] + vX_[3568] * vX_[86] + vX_[3682] * vX_[113] + vX_[3675] * vX_[474] + vX_[754];
+ vX_[647] = vX_[698] + vX_[964] + vX_[713] - vX_[647] - vX_[3655] + vX_[930] * vX_[89] + vX_[1019] * vX_[5];
+ vX_[3655] = vX_[647] - vX_[206];
+ vX_[1019] = vX_[3655] * vX_[4] + vX_[615] * vX_[65];
+ vX_[930] = vX_[3655] * vX_[65] + vX_[615] * vX_[9];
+ vX_[647] = 0 - vX_[647];
+ vX_[3509] = (vX_[647] * vX_[97] + vX_[1046] * vX_[27] + vX_[3511] * vX_[17] + vX_[3509] * vX_[110] + vX_[495] * vX_[119]) * 1 / vX_[0];
+ vX_[647] = vX_[164] * vX_[831] + vX_[647] * vX_[98] + vX_[3509];
+ vX_[495] = vX_[3510] * vX_[65] + vX_[647] * vX_[4];
+ vX_[1046] = vX_[3510] * vX_[9] + vX_[647] * vX_[65];
+ vX_[3649] = vX_[1049] - vX_[3649];
+ vX_[3509] = 0 - vX_[164] * vX_[849] - vX_[914] * vX_[817] - vX_[910] * vX_[881] - vX_[3761] * vX_[1013] + vX_[3761] * vX_[831] - vX_[3654] * vX_[862] - vX_[496] * vX_[855] - vX_[3509] * vX_[98] - vX_[717] * vX_[86] - vX_[979] * vX_[113] - vX_[754] * vX_[474] - vX_[701] * vX_[483];
+ vX_[754] = 0 - vX_[157] + vX_[3509];
+ vX_[701] = vX_[754] * vX_[4] + vX_[970] * vX_[65];
+ vX_[717] = vX_[754] * vX_[65] + vX_[970] * vX_[9];
+ vX_[979] = vX_[701] * vX_[65] + vX_[717] * vX_[4];
+ vX_[496] = vX_[157] + vX_[701] * vX_[4];
+ vX_[3654] = vX_[157] + vX_[717] * vX_[65];
+ vX_[3509] = vX_[3760] + vX_[157] + vX_[3509] - vX_[496] - vX_[3654];
+ vX_[3760] = 0 - vX_[3509];
+ vX_[157] = vX_[3651] * vX_[4] + vX_[1049] * vX_[65];
+ vX_[3761] = vX_[157] + vX_[3760] * vX_[8];
+ vX_[910] = 0 - vX_[3761];
+ vX_[157] = 0 - (vX_[3649] * vX_[65] + vX_[3738] * vX_[9]) + vX_[157];
+ vX_[914] = vX_[3651] * vX_[65] + vX_[1049] * vX_[9];
+ vX_[164] = vX_[914] + vX_[3509] * vX_[71];
+ vX_[3511] = 0 - vX_[164];
+ vX_[713] = 0 - (vX_[929] * vX_[65] + vX_[3675] * vX_[9]) + vX_[929] * vX_[65] * 2.;
+ vX_[964] = 0 - vX_[713];
+ vX_[698] = vX_[929] * vX_[4] + vX_[3675] * vX_[65] + vX_[929] * vX_[9] * 2.;
+ vX_[3568] = 0 - vX_[698];
+ vX_[3682] = sin(x_in[16]);
+ vX_[830] = 0 - vX_[3654];
+ vX_[914] = vX_[3649] * vX_[4] + vX_[3738] * vX_[65] + vX_[914];
+ vX_[712] = 0 - vX_[979];
+ vX_[3688] = 0 - vX_[3654];
+ vX_[3271] = cos(x_in[16]);
+ jac[594] = 0 - (vX_[632] * vX_[842] + vX_[3281] * vX_[872] + vX_[615] * vX_[93] + vX_[3510] * vX_[33] + vX_[1049] * vX_[106] + vX_[3686] * vX_[118] + vX_[901] * vX_[24] + vX_[3361] * vX_[13] + vX_[3738] * vX_[51] + vX_[970] * vX_[23] + vX_[929] * vX_[526] + vX_[3675] * vX_[109] + vX_[918] * vX_[823] + vX_[133] * vX_[816] - (vX_[1039] * vX_[828] + vX_[138] * vX_[809]) + (vX_[2463] * vX_[828] + vX_[138] * vX_[808]) * 0.08 - (vX_[207] * vX_[863] + vX_[3655] * vX_[95] + vX_[1019] * vX_[94] + vX_[930] * vX_[73] + vX_[3651] * vX_[85] + vX_[3693] * vX_[117] + vX_[647] * vX_[18] + vX_[495] * vX_[21] + vX_[1046] * vX_[34] + vX_[3649] * vX_[68] + vX_[754] * vX_[3] + vX_[929] * vX_[107] + vX_[701] * vX_[42] + vX_[717] * vX_[28] + (vX_[979] * vX_[55] + vX_[3760] * vX_[70] + vX_[496] * vX_[84] + vX_[910] * vX_[80] + (vX_[157] + vX_[496] * vX_[8]) * 4.027 + vX_[3511] * vX_[73] + vX_[964] * vX_[21] + vX_[3568] * vX_[24] + vX_[979] * vX_[43] + vX_[496] * vX_[22]) * 0.08 + vX_[132] * vX_[810])) * vX_[3682] + (0 - (vX_[632] * vX_[828] + vX_[138] * vX_[823]) - (vX_[1039] * vX_[842] + vX_[918] * vX_[809]) + (vX_[2463] * vX_[842] + vX_[3509] * vX_[72] + vX_[830] * vX_[55] + vX_[3761] * vX_[73] + vX_[164] * vX_[75] + (0 - (vX_[914] + vX_[979] * vX_[8] + vX_[830] * vX_[71])) * 4.027 + vX_[713] * vX_[34] + vX_[698] * vX_[13] + vX_[712] * vX_[30] + vX_[3688] * vX_[39] + vX_[918] * vX_[808]) * 0.08 - (vX_[207] * vX_[872] + vX_[3281] * vX_[863] + vX_[3655] * vX_[93] + vX_[615] * vX_[95] + vX_[1019] * vX_[73] + vX_[930] * vX_[92] + vX_[3651] * vX_[106] + vX_[3510] * vX_[18] + vX_[3693] * vX_[118] + vX_[1049] * vX_[85] + vX_[647] * vX_[33] + vX_[3686] * vX_[117] + vX_[495] * vX_[24] + vX_[1046] * vX_[13] + vX_[901] * vX_[21] + vX_[3361] * vX_[34] + vX_[3649] * vX_[51] + vX_[3738] * vX_[68] + vX_[754] * vX_[23] + vX_[970] * vX_[3] + vX_[929] * vX_[108] + vX_[929] * vX_[109] + vX_[3675] * vX_[107] + vX_[701] * vX_[28] + vX_[717] * vX_[38] + vX_[132] * vX_[816] + vX_[133] * vX_[810])) * vX_[3271];
+ vX_[1017] = vX_[1148] * vX_[88] + vX_[1068] * vX_[50] + vX_[3529] * vX_[103] + vX_[613] * vX_[89] + vX_[1017] * vX_[5] + vX_[1172] * vX_[878];
+ vX_[613] = 0 - vX_[1017];
+ vX_[600] = 0 - (vX_[1097] * vX_[101] + vX_[3674] * vX_[88] + vX_[1037] * vX_[50] + vX_[1181] * vX_[5] + vX_[600] * vX_[89] + vX_[1767] * vX_[103] + vX_[693] * vX_[878] + vX_[1101] * vX_[877]);
+ vX_[2860] = vX_[1043] + vX_[2860] * vX_[101] + vX_[1037] * vX_[88];
+ vX_[3531] = vX_[2860] + vX_[3531] * vX_[5] + vX_[614] * vX_[103] + vX_[1101] * vX_[878];
+ vX_[614] = 0 - vX_[3531];
+ vX_[1183] = vX_[639] + vX_[1183] * vX_[5] + vX_[1610] * vX_[103] * 2. + vX_[1101] * vX_[874] + vX_[1036] * vX_[878];
+ vX_[1610] = 0 - vX_[1183];
+ vX_[505] = vX_[3594] + vX_[3204] * vX_[5] + vX_[505] * vX_[103] + vX_[1101] * vX_[875] + vX_[223] * vX_[878];
+ vX_[3594] = 0 - vX_[505];
+ vX_[3204] = (vX_[614] * vX_[17] + vX_[1610] * vX_[110] + vX_[3594] * vX_[119]) * 1 / vX_[0];
+ vX_[614] = vX_[152] * vX_[831] + vX_[613] * vX_[98] + vX_[600] * vX_[86] + vX_[614] * vX_[113] + vX_[3204];
+ vX_[1729] = vX_[593] + vX_[675] * vX_[89] + vX_[1729] * vX_[5] * 2. + vX_[1172] * vX_[875];
+ vX_[593] = vX_[1729] * vX_[4] + vX_[505] * vX_[65];
+ vX_[639] = vX_[1729] * vX_[65] + vX_[505] * vX_[9];
+ vX_[2763] = vX_[286] + vX_[2763] * vX_[5] + vX_[503] * vX_[89] * 2. + vX_[1172] * vX_[874];
+ vX_[1179] = 0 - (0 - (vX_[1148] * vX_[101] + vX_[1147] * vX_[88]) + vX_[332] * vX_[103] + vX_[2895] * vX_[5] + vX_[1179] * vX_[89] + vX_[1172] * vX_[877]);
+ vX_[1097] = vX_[1043] + vX_[1097] * vX_[88] + vX_[804] * vX_[50];
+ vX_[942] = 0 - (vX_[1097] + vX_[942] * vX_[89] + vX_[3345] * vX_[103] + vX_[693] * vX_[877]);
+ vX_[2656] = 0 - (vX_[2656] + vX_[1040] * vX_[89] + vX_[675] * vX_[103] + vX_[693] * vX_[874] + vX_[1036] * vX_[877]);
+ vX_[2906] = vX_[1905] + vX_[2906] * vX_[89] + vX_[2961] * vX_[103] * 2. + vX_[693] * vX_[875] + vX_[223] * vX_[877];
+ vX_[1905] = 0 - vX_[2906];
+ vX_[600] = (vX_[942] * vX_[27] + vX_[600] * vX_[17] + vX_[2656] * vX_[110] + vX_[1905] * vX_[119]) * 1 / vX_[0];
+ vX_[942] = 0 - vX_[2763] + vX_[806] * vX_[831] + vX_[1179] * vX_[98] + vX_[942] * vX_[86] + vX_[600];
+ vX_[693] = 0 - vX_[1729];
+ vX_[675] = vX_[675] + vX_[1036] * vX_[875] + vX_[223] * vX_[874];
+ vX_[1040] = 0 - vX_[675];
+ vX_[2961] = vX_[2961] + vX_[223] * vX_[875];
+ vX_[3345] = 0 - vX_[2961];
+ vX_[804] = vX_[3345] * vX_[119] * 1 / vX_[0];
+ vX_[3345] = vX_[145] * vX_[831] + vX_[693] * vX_[98] + vX_[1905] * vX_[86] + vX_[3594] * vX_[113] + vX_[1040] * vX_[474] + vX_[3345] * vX_[483] + vX_[804];
+ vX_[1905] = 0 - vX_[2763];
+ vX_[503] = vX_[503] + vX_[1036] * vX_[874];
+ vX_[3594] = 0 - vX_[503];
+ vX_[1040] = (vX_[3594] * vX_[110] + vX_[1040] * vX_[119]) * 1 / vX_[0];
+ vX_[3594] = vX_[3734] * vX_[831] + vX_[1905] * vX_[98] + vX_[2656] * vX_[86] + vX_[1610] * vX_[113] + vX_[3594] * vX_[474] + vX_[1040];
+ vX_[1097] = vX_[1138] + vX_[1145] + vX_[1043] - vX_[1097] - vX_[2860] + vX_[343] * vX_[89] + vX_[1150] * vX_[5];
+ vX_[2860] = vX_[1097] - vX_[3531];
+ vX_[1150] = vX_[2860] * vX_[4] + vX_[1017] * vX_[65];
+ vX_[343] = vX_[2860] * vX_[65] + vX_[1017] * vX_[9];
+ vX_[1097] = 0 - vX_[1097];
+ vX_[1905] = (vX_[1097] * vX_[97] + vX_[1179] * vX_[27] + vX_[613] * vX_[17] + vX_[1905] * vX_[110] + vX_[693] * vX_[119]) * 1 / vX_[0];
+ vX_[1097] = vX_[1027] * vX_[831] + vX_[1097] * vX_[98] + vX_[1905];
+ vX_[693] = vX_[614] * vX_[65] + vX_[1097] * vX_[4];
+ vX_[1179] = vX_[614] * vX_[9] + vX_[1097] * vX_[65];
+ vX_[2906] = vX_[1183] - vX_[2906];
+ vX_[1905] = 0 - vX_[1027] * vX_[849] - vX_[806] * vX_[817] - vX_[152] * vX_[881] - vX_[708] * vX_[1013] + vX_[708] * vX_[831] - vX_[3734] * vX_[862] - vX_[145] * vX_[855] - vX_[1905] * vX_[98] - vX_[600] * vX_[86] - vX_[3204] * vX_[113] - vX_[1040] * vX_[474] - vX_[804] * vX_[483];
+ vX_[1040] = 0 - vX_[2961] + vX_[1905];
+ vX_[804] = vX_[1040] * vX_[4] + vX_[3345] * vX_[65];
+ vX_[600] = vX_[1040] * vX_[65] + vX_[3345] * vX_[9];
+ vX_[3204] = vX_[804] * vX_[65] + vX_[600] * vX_[4];
+ vX_[145] = vX_[2961] + vX_[804] * vX_[4];
+ vX_[3734] = vX_[2961] + vX_[600] * vX_[65];
+ vX_[1905] = vX_[503] + vX_[2961] + vX_[1905] - vX_[145] - vX_[3734];
+ vX_[503] = 0 - vX_[1905];
+ vX_[2961] = vX_[2763] * vX_[4] + vX_[1183] * vX_[65];
+ vX_[708] = vX_[2961] + vX_[503] * vX_[8];
+ vX_[152] = 0 - vX_[708];
+ vX_[2961] = 0 - (vX_[2906] * vX_[65] + vX_[942] * vX_[9]) + vX_[2961];
+ vX_[806] = vX_[2763] * vX_[65] + vX_[1183] * vX_[9];
+ vX_[1027] = vX_[806] + vX_[1905] * vX_[71];
+ vX_[613] = 0 - vX_[1027];
+ vX_[1043] = 0 - (vX_[675] * vX_[65] + vX_[3594] * vX_[9]) + vX_[675] * vX_[65] * 2.;
+ vX_[1145] = 0 - vX_[1043];
+ vX_[1138] = vX_[675] * vX_[4] + vX_[3594] * vX_[65] + vX_[675] * vX_[9] * 2.;
+ vX_[2656] = 0 - vX_[1138];
+ vX_[1610] = 0 - vX_[3734];
+ vX_[806] = vX_[2906] * vX_[4] + vX_[942] * vX_[65] + vX_[806];
+ vX_[1147] = 0 - vX_[3204];
+ vX_[1148] = 0 - vX_[3734];
+ jac[595] = 0 - (vX_[1101] * vX_[842] + vX_[223] * vX_[872] + vX_[1017] * vX_[93] + vX_[614] * vX_[33] + vX_[1183] * vX_[106] + vX_[505] * vX_[118] + vX_[593] * vX_[24] + vX_[639] * vX_[13] + vX_[942] * vX_[51] + vX_[3345] * vX_[23] + vX_[675] * vX_[526] + vX_[3594] * vX_[109] + vX_[3452] * vX_[823] + vX_[395] * vX_[816] - (vX_[1172] * vX_[828] + vX_[140] * vX_[809]) + (vX_[1036] * vX_[828] + vX_[140] * vX_[808]) * 0.08 - (vX_[146] * vX_[863] + vX_[2860] * vX_[95] + vX_[1150] * vX_[94] + vX_[343] * vX_[73] + vX_[2763] * vX_[85] + vX_[1729] * vX_[117] + vX_[1097] * vX_[18] + vX_[693] * vX_[21] + vX_[1179] * vX_[34] + vX_[2906] * vX_[68] + vX_[1040] * vX_[3] + vX_[675] * vX_[107] + vX_[804] * vX_[42] + vX_[600] * vX_[28] + (vX_[3204] * vX_[55] + vX_[503] * vX_[70] + vX_[145] * vX_[84] + vX_[152] * vX_[80] + (vX_[2961] + vX_[145] * vX_[8]) * 4.027 + vX_[613] * vX_[73] + vX_[1145] * vX_[21] + vX_[2656] * vX_[24] + vX_[3204] * vX_[43] + vX_[145] * vX_[22]) * 0.08 + vX_[3453] * vX_[810])) * vX_[3682] + (0 - (vX_[1101] * vX_[828] + vX_[140] * vX_[823]) - (vX_[1172] * vX_[842] + vX_[3452] * vX_[809]) + (vX_[1036] * vX_[842] + vX_[1905] * vX_[72] + vX_[1610] * vX_[55] + vX_[708] * vX_[73] + vX_[1027] * vX_[75] + (0 - (vX_[806] + vX_[3204] * vX_[8] + vX_[1610] * vX_[71])) * 4.027 + vX_[1043] * vX_[34] + vX_[1138] * vX_[13] + vX_[1147] * vX_[30] + vX_[1148] * vX_[39] + vX_[3452] * vX_[808]) * 0.08 - (vX_[146] * vX_[872] + vX_[223] * vX_[863] + vX_[2860] * vX_[93] + vX_[1017] * vX_[95] + vX_[1150] * vX_[73] + vX_[343] * vX_[92] + vX_[2763] * vX_[106] + vX_[614] * vX_[18] + vX_[1729] * vX_[118] + vX_[1183] * vX_[85] + vX_[1097] * vX_[33] + vX_[505] * vX_[117] + vX_[693] * vX_[24] + vX_[1179] * vX_[13] + vX_[593] * vX_[21] + vX_[639] * vX_[34] + vX_[2906] * vX_[51] + vX_[942] * vX_[68] + vX_[1040] * vX_[23] + vX_[3345] * vX_[3] + vX_[675] * vX_[108] + vX_[675] * vX_[109] + vX_[3594] * vX_[107] + vX_[804] * vX_[28] + vX_[600] * vX_[38] + vX_[3453] * vX_[816] + vX_[395] * vX_[810])) * vX_[3271];
+ vX_[2642] = vX_[1277] * vX_[88] + vX_[751] * vX_[50] + vX_[1860] * vX_[103] + vX_[3208] * vX_[89] + vX_[2642] * vX_[5] + vX_[1303] * vX_[878];
+ vX_[3208] = 0 - vX_[2642];
+ vX_[1170] = 0 - (vX_[1234] * vX_[101] + vX_[2936] * vX_[88] + vX_[1169] * vX_[50] + vX_[1312] * vX_[5] + vX_[1170] * vX_[89] + vX_[886] * vX_[103] + vX_[1056] * vX_[878] + vX_[1279] * vX_[877]);
+ vX_[2377] = vX_[1144] + vX_[2377] * vX_[101] + vX_[1169] * vX_[88];
+ vX_[2897] = vX_[2377] + vX_[2897] * vX_[5] + vX_[2768] * vX_[103] + vX_[1279] * vX_[878];
+ vX_[2768] = 0 - vX_[2897];
+ vX_[1314] = vX_[2865] + vX_[1314] * vX_[5] + vX_[2792] * vX_[103] * 2. + vX_[1279] * vX_[874] + vX_[1168] * vX_[878];
+ vX_[2792] = 0 - vX_[1314];
+ vX_[2740] = vX_[2725] + vX_[3312] * vX_[5] + vX_[2740] * vX_[103] + vX_[1279] * vX_[875] + vX_[741] * vX_[878];
+ vX_[2725] = 0 - vX_[2740];
+ vX_[3312] = (vX_[2768] * vX_[17] + vX_[2792] * vX_[110] + vX_[2725] * vX_[119]) * 1 / vX_[0];
+ vX_[2768] = vX_[672] * vX_[831] + vX_[3208] * vX_[98] + vX_[1170] * vX_[86] + vX_[2768] * vX_[113] + vX_[3312];
+ vX_[1879] = vX_[2934] + vX_[1349] * vX_[89] + vX_[1879] * vX_[5] * 2. + vX_[1303] * vX_[875];
+ vX_[2934] = vX_[1879] * vX_[4] + vX_[2740] * vX_[65];
+ vX_[2865] = vX_[1879] * vX_[65] + vX_[2740] * vX_[9];
+ vX_[467] = vX_[1882] + vX_[467] * vX_[5] + vX_[1602] * vX_[89] * 2. + vX_[1303] * vX_[874];
+ vX_[1310] = 0 - (0 - (vX_[1277] * vX_[101] + vX_[1276] * vX_[88]) + vX_[734] * vX_[103] + vX_[1842] * vX_[5] + vX_[1310] * vX_[89] + vX_[1303] * vX_[877]);
+ vX_[1234] = vX_[1144] + vX_[1234] * vX_[88] + vX_[1230] * vX_[50];
+ vX_[3744] = 0 - (vX_[1234] + vX_[3744] * vX_[89] + vX_[2745] * vX_[103] + vX_[1056] * vX_[877]);
+ vX_[2762] = 0 - (vX_[2762] + vX_[1194] * vX_[89] + vX_[1349] * vX_[103] + vX_[1056] * vX_[874] + vX_[1168] * vX_[877]);
+ vX_[2178] = vX_[729] + vX_[2178] * vX_[89] + vX_[2316] * vX_[103] * 2. + vX_[1056] * vX_[875] + vX_[741] * vX_[877];
+ vX_[729] = 0 - vX_[2178];
+ vX_[1170] = (vX_[3744] * vX_[27] + vX_[1170] * vX_[17] + vX_[2762] * vX_[110] + vX_[729] * vX_[119]) * 1 / vX_[0];
+ vX_[3744] = 0 - vX_[467] + vX_[1142] * vX_[831] + vX_[1310] * vX_[98] + vX_[3744] * vX_[86] + vX_[1170];
+ vX_[1056] = 0 - vX_[1879];
+ vX_[1349] = vX_[1349] + vX_[1168] * vX_[875] + vX_[741] * vX_[874];
+ vX_[1194] = 0 - vX_[1349];
+ vX_[2316] = vX_[2316] + vX_[741] * vX_[875];
+ vX_[2745] = 0 - vX_[2316];
+ vX_[1230] = vX_[2745] * vX_[119] * 1 / vX_[0];
+ vX_[2745] = vX_[3517] * vX_[831] + vX_[1056] * vX_[98] + vX_[729] * vX_[86] + vX_[2725] * vX_[113] + vX_[1194] * vX_[474] + vX_[2745] * vX_[483] + vX_[1230];
+ vX_[729] = 0 - vX_[467];
+ vX_[1602] = vX_[1602] + vX_[1168] * vX_[874];
+ vX_[2725] = 0 - vX_[1602];
+ vX_[1194] = (vX_[2725] * vX_[110] + vX_[1194] * vX_[119]) * 1 / vX_[0];
+ vX_[2725] = vX_[673] * vX_[831] + vX_[729] * vX_[98] + vX_[2762] * vX_[86] + vX_[2792] * vX_[113] + vX_[2725] * vX_[474] + vX_[1194];
+ vX_[1234] = vX_[1266] + vX_[1274] + vX_[1144] - vX_[1234] - vX_[2377] + vX_[3193] * vX_[89] + vX_[1281] * vX_[5];
+ vX_[2377] = vX_[1234] - vX_[2897];
+ vX_[1281] = vX_[2377] * vX_[4] + vX_[2642] * vX_[65];
+ vX_[3193] = vX_[2377] * vX_[65] + vX_[2642] * vX_[9];
+ vX_[1234] = 0 - vX_[1234];
+ vX_[729] = (vX_[1234] * vX_[97] + vX_[1310] * vX_[27] + vX_[3208] * vX_[17] + vX_[729] * vX_[110] + vX_[1056] * vX_[119]) * 1 / vX_[0];
+ vX_[1234] = vX_[1158] * vX_[831] + vX_[1234] * vX_[98] + vX_[729];
+ vX_[1056] = vX_[2768] * vX_[65] + vX_[1234] * vX_[4];
+ vX_[1310] = vX_[2768] * vX_[9] + vX_[1234] * vX_[65];
+ vX_[2178] = vX_[1314] - vX_[2178];
+ vX_[729] = 0 - vX_[1158] * vX_[849] - vX_[1142] * vX_[817] - vX_[672] * vX_[881] - vX_[1065] * vX_[1013] + vX_[1065] * vX_[831] - vX_[673] * vX_[862] - vX_[3517] * vX_[855] - vX_[729] * vX_[98] - vX_[1170] * vX_[86] - vX_[3312] * vX_[113] - vX_[1194] * vX_[474] - vX_[1230] * vX_[483];
+ vX_[1194] = 0 - vX_[2316] + vX_[729];
+ vX_[1230] = vX_[1194] * vX_[4] + vX_[2745] * vX_[65];
+ vX_[1170] = vX_[1194] * vX_[65] + vX_[2745] * vX_[9];
+ vX_[3312] = vX_[1230] * vX_[65] + vX_[1170] * vX_[4];
+ vX_[3517] = vX_[2316] + vX_[1230] * vX_[4];
+ vX_[673] = vX_[2316] + vX_[1170] * vX_[65];
+ vX_[729] = vX_[1602] + vX_[2316] + vX_[729] - vX_[3517] - vX_[673];
+ vX_[1602] = 0 - vX_[729];
+ vX_[2316] = vX_[467] * vX_[4] + vX_[1314] * vX_[65];
+ vX_[1065] = vX_[2316] + vX_[1602] * vX_[8];
+ vX_[672] = 0 - vX_[1065];
+ vX_[2316] = 0 - (vX_[2178] * vX_[65] + vX_[3744] * vX_[9]) + vX_[2316];
+ vX_[1142] = vX_[467] * vX_[65] + vX_[1314] * vX_[9];
+ vX_[1158] = vX_[1142] + vX_[729] * vX_[71];
+ vX_[3208] = 0 - vX_[1158];
+ vX_[1144] = 0 - (vX_[1349] * vX_[65] + vX_[2725] * vX_[9]) + vX_[1349] * vX_[65] * 2.;
+ vX_[1274] = 0 - vX_[1144];
+ vX_[1266] = vX_[1349] * vX_[4] + vX_[2725] * vX_[65] + vX_[1349] * vX_[9] * 2.;
+ vX_[2762] = 0 - vX_[1266];
+ vX_[2792] = 0 - vX_[673];
+ vX_[1142] = vX_[2178] * vX_[4] + vX_[3744] * vX_[65] + vX_[1142];
+ vX_[1276] = 0 - vX_[3312];
+ vX_[1277] = 0 - vX_[673];
+ jac[596] = 0 - (vX_[1279] * vX_[842] + vX_[741] * vX_[872] + vX_[2642] * vX_[93] + vX_[2768] * vX_[33] + vX_[1314] * vX_[106] + vX_[2740] * vX_[118] + vX_[2934] * vX_[24] + vX_[2865] * vX_[13] + vX_[3744] * vX_[51] + vX_[2745] * vX_[23] + vX_[1349] * vX_[526] + vX_[2725] * vX_[109] + vX_[129] * vX_[823] + vX_[749] * vX_[816] - (vX_[1303] * vX_[828] + vX_[735] * vX_[809]) + (vX_[1168] * vX_[828] + vX_[735] * vX_[808]) * 0.08 - (vX_[3440] * vX_[863] + vX_[2377] * vX_[95] + vX_[1281] * vX_[94] + vX_[3193] * vX_[73] + vX_[467] * vX_[85] + vX_[1879] * vX_[117] + vX_[1234] * vX_[18] + vX_[1056] * vX_[21] + vX_[1310] * vX_[34] + vX_[2178] * vX_[68] + vX_[1194] * vX_[3] + vX_[1349] * vX_[107] + vX_[1230] * vX_[42] + vX_[1170] * vX_[28] + (vX_[3312] * vX_[55] + vX_[1602] * vX_[70] + vX_[3517] * vX_[84] + vX_[672] * vX_[80] + (vX_[2316] + vX_[3517] * vX_[8]) * 4.027 + vX_[3208] * vX_[73] + vX_[1274] * vX_[21] + vX_[2762] * vX_[24] + vX_[3312] * vX_[43] + vX_[3517] * vX_[22]) * 0.08 + vX_[1044] * vX_[810])) * vX_[3682] + (0 - (vX_[1279] * vX_[828] + vX_[735] * vX_[823]) - (vX_[1303] * vX_[842] + vX_[129] * vX_[809]) + (vX_[1168] * vX_[842] + vX_[729] * vX_[72] + vX_[2792] * vX_[55] + vX_[1065] * vX_[73] + vX_[1158] * vX_[75] + (0 - (vX_[1142] + vX_[3312] * vX_[8] + vX_[2792] * vX_[71])) * 4.027 + vX_[1144] * vX_[34] + vX_[1266] * vX_[13] + vX_[1276] * vX_[30] + vX_[1277] * vX_[39] + vX_[129] * vX_[808]) * 0.08 - (vX_[3440] * vX_[872] + vX_[741] * vX_[863] + vX_[2377] * vX_[93] + vX_[2642] * vX_[95] + vX_[1281] * vX_[73] + vX_[3193] * vX_[92] + vX_[467] * vX_[106] + vX_[2768] * vX_[18] + vX_[1879] * vX_[118] + vX_[1314] * vX_[85] + vX_[1234] * vX_[33] + vX_[2740] * vX_[117] + vX_[1056] * vX_[24] + vX_[1310] * vX_[13] + vX_[2934] * vX_[21] + vX_[2865] * vX_[34] + vX_[2178] * vX_[51] + vX_[3744] * vX_[68] + vX_[1194] * vX_[23] + vX_[2745] * vX_[3] + vX_[1349] * vX_[108] + vX_[1349] * vX_[109] + vX_[2725] * vX_[107] + vX_[1230] * vX_[28] + vX_[1170] * vX_[38] + vX_[1044] * vX_[816] + vX_[749] * vX_[810])) * vX_[3271];
+ vX_[2558] = vX_[1407] * vX_[88] + vX_[1401] * vX_[50] + vX_[2817] * vX_[103] + vX_[1671] * vX_[89] + vX_[2558] * vX_[5] + vX_[1434] * vX_[878];
+ vX_[1671] = 0 - vX_[2558];
+ vX_[1301] = 0 - (vX_[1408] * vX_[101] + vX_[1787] * vX_[88] + vX_[1300] * vX_[50] + vX_[1443] * vX_[5] + vX_[1301] * vX_[89] + vX_[1558] * vX_[103] + vX_[1273] * vX_[878] + vX_[1410] * vX_[877]);
+ vX_[2196] = vX_[1320] + vX_[2196] * vX_[101] + vX_[1300] * vX_[88];
+ vX_[773] = vX_[2196] + vX_[773] * vX_[5] + vX_[1331] * vX_[103] + vX_[1410] * vX_[878];
+ vX_[1331] = 0 - vX_[773];
+ vX_[1445] = vX_[3357] + vX_[1445] * vX_[5] + vX_[1297] * vX_[103] * 2. + vX_[1410] * vX_[874] + vX_[1299] * vX_[878];
+ vX_[1297] = 0 - vX_[1445];
+ vX_[1494] = vX_[1199] + vX_[3488] * vX_[5] + vX_[1494] * vX_[103] + vX_[1410] * vX_[875] + vX_[2966] * vX_[878];
+ vX_[1199] = 0 - vX_[1494];
+ vX_[3488] = (vX_[1331] * vX_[17] + vX_[1297] * vX_[110] + vX_[1199] * vX_[119]) * 1 / vX_[0];
+ vX_[1331] = vX_[3448] * vX_[831] + vX_[1671] * vX_[98] + vX_[1301] * vX_[86] + vX_[1331] * vX_[113] + vX_[3488];
+ vX_[757] = vX_[2583] + vX_[2700] * vX_[89] + vX_[757] * vX_[5] * 2. + vX_[1434] * vX_[875];
+ vX_[2583] = vX_[757] * vX_[4] + vX_[1494] * vX_[65];
+ vX_[3357] = vX_[757] * vX_[65] + vX_[1494] * vX_[9];
+ vX_[3383] = vX_[2103] + vX_[3383] * vX_[5] + vX_[1789] * vX_[89] * 2. + vX_[1434] * vX_[874];
+ vX_[1441] = 0 - (0 - (vX_[1407] * vX_[101] + vX_[1406] * vX_[88]) + vX_[2651] * vX_[103] + vX_[3560] * vX_[5] + vX_[1441] * vX_[89] + vX_[1434] * vX_[877]);
+ vX_[1408] = vX_[1320] + vX_[1408] * vX_[88] + vX_[1365] * vX_[50];
+ vX_[269] = 0 - (vX_[1408] + vX_[269] * vX_[89] + vX_[2938] * vX_[103] + vX_[1273] * vX_[877]);
+ vX_[1550] = 0 - (vX_[1550] + vX_[1327] * vX_[89] + vX_[2700] * vX_[103] + vX_[1273] * vX_[874] + vX_[1299] * vX_[877]);
+ vX_[458] = vX_[1904] + vX_[458] * vX_[89] + vX_[1863] * vX_[103] * 2. + vX_[1273] * vX_[875] + vX_[2966] * vX_[877];
+ vX_[1904] = 0 - vX_[458];
+ vX_[1301] = (vX_[269] * vX_[27] + vX_[1301] * vX_[17] + vX_[1550] * vX_[110] + vX_[1904] * vX_[119]) * 1 / vX_[0];
+ vX_[269] = 0 - vX_[3383] + vX_[1270] * vX_[831] + vX_[1441] * vX_[98] + vX_[269] * vX_[86] + vX_[1301];
+ vX_[1273] = 0 - vX_[757];
+ vX_[2700] = vX_[2700] + vX_[1299] * vX_[875] + vX_[2966] * vX_[874];
+ vX_[1327] = 0 - vX_[2700];
+ vX_[1863] = vX_[1863] + vX_[2966] * vX_[875];
+ vX_[2938] = 0 - vX_[1863];
+ vX_[1365] = vX_[2938] * vX_[119] * 1 / vX_[0];
+ vX_[2938] = vX_[3601] * vX_[831] + vX_[1273] * vX_[98] + vX_[1904] * vX_[86] + vX_[1199] * vX_[113] + vX_[1327] * vX_[474] + vX_[2938] * vX_[483] + vX_[1365];
+ vX_[1904] = 0 - vX_[3383];
+ vX_[1789] = vX_[1789] + vX_[1299] * vX_[874];
+ vX_[1199] = 0 - vX_[1789];
+ vX_[1327] = (vX_[1199] * vX_[110] + vX_[1327] * vX_[119]) * 1 / vX_[0];
+ vX_[1199] = vX_[521] * vX_[831] + vX_[1904] * vX_[98] + vX_[1550] * vX_[86] + vX_[1297] * vX_[113] + vX_[1199] * vX_[474] + vX_[1327];
+ vX_[1408] = vX_[1395] + vX_[1404] + vX_[1320] - vX_[1408] - vX_[2196] + vX_[2470] * vX_[89] + vX_[1412] * vX_[5];
+ vX_[2196] = vX_[1408] - vX_[773];
+ vX_[1412] = vX_[2196] * vX_[4] + vX_[2558] * vX_[65];
+ vX_[2470] = vX_[2196] * vX_[65] + vX_[2558] * vX_[9];
+ vX_[1408] = 0 - vX_[1408];
+ vX_[1904] = (vX_[1408] * vX_[97] + vX_[1441] * vX_[27] + vX_[1671] * vX_[17] + vX_[1904] * vX_[110] + vX_[1273] * vX_[119]) * 1 / vX_[0];
+ vX_[1408] = vX_[1289] * vX_[831] + vX_[1408] * vX_[98] + vX_[1904];
+ vX_[1273] = vX_[1331] * vX_[65] + vX_[1408] * vX_[4];
+ vX_[1441] = vX_[1331] * vX_[9] + vX_[1408] * vX_[65];
+ vX_[458] = vX_[1445] - vX_[458];
+ vX_[1904] = 0 - vX_[1289] * vX_[849] - vX_[1270] * vX_[817] - vX_[3448] * vX_[881] - vX_[1154] * vX_[1013] + vX_[1154] * vX_[831] - vX_[521] * vX_[862] - vX_[3601] * vX_[855] - vX_[1904] * vX_[98] - vX_[1301] * vX_[86] - vX_[3488] * vX_[113] - vX_[1327] * vX_[474] - vX_[1365] * vX_[483];
+ vX_[1327] = 0 - vX_[1863] + vX_[1904];
+ vX_[1365] = vX_[1327] * vX_[4] + vX_[2938] * vX_[65];
+ vX_[1301] = vX_[1327] * vX_[65] + vX_[2938] * vX_[9];
+ vX_[3488] = vX_[1365] * vX_[65] + vX_[1301] * vX_[4];
+ vX_[3601] = vX_[1863] + vX_[1365] * vX_[4];
+ vX_[521] = vX_[1863] + vX_[1301] * vX_[65];
+ vX_[1904] = vX_[1789] + vX_[1863] + vX_[1904] - vX_[3601] - vX_[521];
+ vX_[1789] = 0 - vX_[1904];
+ vX_[1863] = vX_[3383] * vX_[4] + vX_[1445] * vX_[65];
+ vX_[1154] = vX_[1863] + vX_[1789] * vX_[8];
+ vX_[3448] = 0 - vX_[1154];
+ vX_[1863] = 0 - (vX_[458] * vX_[65] + vX_[269] * vX_[9]) + vX_[1863];
+ vX_[1270] = vX_[3383] * vX_[65] + vX_[1445] * vX_[9];
+ vX_[1289] = vX_[1270] + vX_[1904] * vX_[71];
+ vX_[1671] = 0 - vX_[1289];
+ vX_[1320] = 0 - (vX_[2700] * vX_[65] + vX_[1199] * vX_[9]) + vX_[2700] * vX_[65] * 2.;
+ vX_[1404] = 0 - vX_[1320];
+ vX_[1395] = vX_[2700] * vX_[4] + vX_[1199] * vX_[65] + vX_[2700] * vX_[9] * 2.;
+ vX_[1550] = 0 - vX_[1395];
+ vX_[1297] = 0 - vX_[521];
+ vX_[1270] = vX_[458] * vX_[4] + vX_[269] * vX_[65] + vX_[1270];
+ vX_[1406] = 0 - vX_[3488];
+ vX_[1407] = 0 - vX_[521];
+ jac[597] = 0 - (vX_[1410] * vX_[842] + vX_[2966] * vX_[872] + vX_[2558] * vX_[93] + vX_[1331] * vX_[33] + vX_[1445] * vX_[106] + vX_[1494] * vX_[118] + vX_[2583] * vX_[24] + vX_[3357] * vX_[13] + vX_[269] * vX_[51] + vX_[2938] * vX_[23] + vX_[2700] * vX_[526] + vX_[1199] * vX_[109] + vX_[1000] * vX_[823] + vX_[1064] * vX_[816] - (vX_[1434] * vX_[828] + vX_[1023] * vX_[809]) + (vX_[1299] * vX_[828] + vX_[1023] * vX_[808]) * 0.08 - (vX_[745] * vX_[863] + vX_[2196] * vX_[95] + vX_[1412] * vX_[94] + vX_[2470] * vX_[73] + vX_[3383] * vX_[85] + vX_[757] * vX_[117] + vX_[1408] * vX_[18] + vX_[1273] * vX_[21] + vX_[1441] * vX_[34] + vX_[458] * vX_[68] + vX_[1327] * vX_[3] + vX_[2700] * vX_[107] + vX_[1365] * vX_[42] + vX_[1301] * vX_[28] + (vX_[3488] * vX_[55] + vX_[1789] * vX_[70] + vX_[3601] * vX_[84] + vX_[3448] * vX_[80] + (vX_[1863] + vX_[3601] * vX_[8]) * 4.027 + vX_[1671] * vX_[73] + vX_[1404] * vX_[21] + vX_[1550] * vX_[24] + vX_[3488] * vX_[43] + vX_[3601] * vX_[22]) * 0.08 + vX_[1177] * vX_[810])) * vX_[3682] + (0 - (vX_[1410] * vX_[828] + vX_[1023] * vX_[823]) - (vX_[1434] * vX_[842] + vX_[1000] * vX_[809]) + (vX_[1299] * vX_[842] + vX_[1904] * vX_[72] + vX_[1297] * vX_[55] + vX_[1154] * vX_[73] + vX_[1289] * vX_[75] + (0 - (vX_[1270] + vX_[3488] * vX_[8] + vX_[1297] * vX_[71])) * 4.027 + vX_[1320] * vX_[34] + vX_[1395] * vX_[13] + vX_[1406] * vX_[30] + vX_[1407] * vX_[39] + vX_[1000] * vX_[808]) * 0.08 - (vX_[745] * vX_[872] + vX_[2966] * vX_[863] + vX_[2196] * vX_[93] + vX_[2558] * vX_[95] + vX_[1412] * vX_[73] + vX_[2470] * vX_[92] + vX_[3383] * vX_[106] + vX_[1331] * vX_[18] + vX_[757] * vX_[118] + vX_[1445] * vX_[85] + vX_[1408] * vX_[33] + vX_[1494] * vX_[117] + vX_[1273] * vX_[24] + vX_[1441] * vX_[13] + vX_[2583] * vX_[21] + vX_[3357] * vX_[34] + vX_[458] * vX_[51] + vX_[269] * vX_[68] + vX_[1327] * vX_[23] + vX_[2938] * vX_[3] + vX_[2700] * vX_[108] + vX_[2700] * vX_[109] + vX_[1199] * vX_[107] + vX_[1365] * vX_[28] + vX_[1301] * vX_[38] + vX_[1177] * vX_[816] + vX_[1064] * vX_[810])) * vX_[3271];
+ vX_[3492] = vX_[1538] * vX_[88] + vX_[1532] * vX_[50] + vX_[3313] * vX_[103] + vX_[1555] * vX_[89] + vX_[3492] * vX_[5] + vX_[1565] * vX_[878];
+ vX_[1555] = 0 - vX_[3492];
+ vX_[1432] = 0 - (vX_[1539] * vX_[101] + vX_[2021] * vX_[88] + vX_[1431] * vX_[50] + vX_[1574] * vX_[5] + vX_[1432] * vX_[89] + vX_[3390] * vX_[103] + vX_[1403] * vX_[878] + vX_[1541] * vX_[877]);
+ vX_[1035] = vX_[1491] + vX_[1035] * vX_[101] + vX_[1431] * vX_[88];
+ vX_[3103] = vX_[1035] + vX_[3103] * vX_[5] + vX_[2037] * vX_[103] + vX_[1541] * vX_[878];
+ vX_[2037] = 0 - vX_[3103];
+ vX_[1576] = vX_[793] + vX_[1576] * vX_[5] + vX_[572] * vX_[103] * 2. + vX_[1541] * vX_[874] + vX_[1430] * vX_[878];
+ vX_[572] = 0 - vX_[1576];
+ vX_[459] = vX_[691] + vX_[1244] * vX_[5] + vX_[459] * vX_[103] + vX_[1541] * vX_[875] + vX_[1413] * vX_[878];
+ vX_[691] = 0 - vX_[459];
+ vX_[1244] = (vX_[2037] * vX_[17] + vX_[572] * vX_[110] + vX_[691] * vX_[119]) * 1 / vX_[0];
+ vX_[2037] = vX_[1106] * vX_[831] + vX_[1555] * vX_[98] + vX_[1432] * vX_[86] + vX_[2037] * vX_[113] + vX_[1244];
+ vX_[2622] = vX_[714] + vX_[1710] * vX_[89] + vX_[2622] * vX_[5] * 2. + vX_[1565] * vX_[875];
+ vX_[714] = vX_[2622] * vX_[4] + vX_[459] * vX_[65];
+ vX_[793] = vX_[2622] * vX_[65] + vX_[459] * vX_[9];
+ vX_[1727] = vX_[2869] + vX_[1727] * vX_[5] + vX_[3410] * vX_[89] * 2. + vX_[1565] * vX_[874];
+ vX_[1572] = 0 - (0 - (vX_[1538] * vX_[101] + vX_[1537] * vX_[88]) + vX_[3029] * vX_[103] + vX_[2205] * vX_[5] + vX_[1572] * vX_[89] + vX_[1565] * vX_[877]);
+ vX_[1539] = vX_[1491] + vX_[1539] * vX_[88] + vX_[1528] * vX_[50];
+ vX_[141] = 0 - (vX_[1539] + vX_[141] * vX_[89] + vX_[2497] * vX_[103] + vX_[1403] * vX_[877]);
+ vX_[2502] = 0 - (vX_[2502] + vX_[1459] * vX_[89] + vX_[1710] * vX_[103] + vX_[1403] * vX_[874] + vX_[1430] * vX_[877]);
+ vX_[2948] = vX_[2125] + vX_[2948] * vX_[89] + vX_[2129] * vX_[103] * 2. + vX_[1403] * vX_[875] + vX_[1413] * vX_[877];
+ vX_[2125] = 0 - vX_[2948];
+ vX_[1432] = (vX_[141] * vX_[27] + vX_[1432] * vX_[17] + vX_[2502] * vX_[110] + vX_[2125] * vX_[119]) * 1 / vX_[0];
+ vX_[141] = 0 - vX_[1727] + vX_[1399] * vX_[831] + vX_[1572] * vX_[98] + vX_[141] * vX_[86] + vX_[1432];
+ vX_[1403] = 0 - vX_[2622];
+ vX_[1710] = vX_[1710] + vX_[1430] * vX_[875] + vX_[1413] * vX_[874];
+ vX_[1459] = 0 - vX_[1710];
+ vX_[2129] = vX_[2129] + vX_[1413] * vX_[875];
+ vX_[2497] = 0 - vX_[2129];
+ vX_[1528] = vX_[2497] * vX_[119] * 1 / vX_[0];
+ vX_[2497] = vX_[1978] * vX_[831] + vX_[1403] * vX_[98] + vX_[2125] * vX_[86] + vX_[691] * vX_[113] + vX_[1459] * vX_[474] + vX_[2497] * vX_[483] + vX_[1528];
+ vX_[2125] = 0 - vX_[1727];
+ vX_[3410] = vX_[3410] + vX_[1430] * vX_[874];
+ vX_[691] = 0 - vX_[3410];
+ vX_[1459] = (vX_[691] * vX_[110] + vX_[1459] * vX_[119]) * 1 / vX_[0];
+ vX_[691] = vX_[163] * vX_[831] + vX_[2125] * vX_[98] + vX_[2502] * vX_[86] + vX_[572] * vX_[113] + vX_[691] * vX_[474] + vX_[1459];
+ vX_[1539] = vX_[1525] + vX_[1535] + vX_[1491] - vX_[1539] - vX_[1035] + vX_[2960] * vX_[89] + vX_[1543] * vX_[5];
+ vX_[1035] = vX_[1539] - vX_[3103];
+ vX_[1543] = vX_[1035] * vX_[4] + vX_[3492] * vX_[65];
+ vX_[2960] = vX_[1035] * vX_[65] + vX_[3492] * vX_[9];
+ vX_[1539] = 0 - vX_[1539];
+ vX_[2125] = (vX_[1539] * vX_[97] + vX_[1572] * vX_[27] + vX_[1555] * vX_[17] + vX_[2125] * vX_[110] + vX_[1403] * vX_[119]) * 1 / vX_[0];
+ vX_[1539] = vX_[1420] * vX_[831] + vX_[1539] * vX_[98] + vX_[2125];
+ vX_[1403] = vX_[2037] * vX_[65] + vX_[1539] * vX_[4];
+ vX_[1572] = vX_[2037] * vX_[9] + vX_[1539] * vX_[65];
+ vX_[2948] = vX_[1576] - vX_[2948];
+ vX_[2125] = 0 - vX_[1420] * vX_[849] - vX_[1399] * vX_[817] - vX_[1106] * vX_[881] - vX_[1291] * vX_[1013] + vX_[1291] * vX_[831] - vX_[163] * vX_[862] - vX_[1978] * vX_[855] - vX_[2125] * vX_[98] - vX_[1432] * vX_[86] - vX_[1244] * vX_[113] - vX_[1459] * vX_[474] - vX_[1528] * vX_[483];
+ vX_[1459] = 0 - vX_[2129] + vX_[2125];
+ vX_[1528] = vX_[1459] * vX_[4] + vX_[2497] * vX_[65];
+ vX_[1432] = vX_[1459] * vX_[65] + vX_[2497] * vX_[9];
+ vX_[1244] = vX_[1528] * vX_[65] + vX_[1432] * vX_[4];
+ vX_[1978] = vX_[2129] + vX_[1528] * vX_[4];
+ vX_[163] = vX_[2129] + vX_[1432] * vX_[65];
+ vX_[2125] = vX_[3410] + vX_[2129] + vX_[2125] - vX_[1978] - vX_[163];
+ vX_[3410] = 0 - vX_[2125];
+ vX_[2129] = vX_[1727] * vX_[4] + vX_[1576] * vX_[65];
+ vX_[1291] = vX_[2129] + vX_[3410] * vX_[8];
+ vX_[1106] = 0 - vX_[1291];
+ vX_[2129] = 0 - (vX_[2948] * vX_[65] + vX_[141] * vX_[9]) + vX_[2129];
+ vX_[1399] = vX_[1727] * vX_[65] + vX_[1576] * vX_[9];
+ vX_[1420] = vX_[1399] + vX_[2125] * vX_[71];
+ vX_[1555] = 0 - vX_[1420];
+ vX_[1491] = 0 - (vX_[1710] * vX_[65] + vX_[691] * vX_[9]) + vX_[1710] * vX_[65] * 2.;
+ vX_[1535] = 0 - vX_[1491];
+ vX_[1525] = vX_[1710] * vX_[4] + vX_[691] * vX_[65] + vX_[1710] * vX_[9] * 2.;
+ vX_[2502] = 0 - vX_[1525];
+ vX_[572] = 0 - vX_[163];
+ vX_[1399] = vX_[2948] * vX_[4] + vX_[141] * vX_[65] + vX_[1399];
+ vX_[1537] = 0 - vX_[1244];
+ vX_[1538] = 0 - vX_[163];
+ jac[598] = 0 - (vX_[1541] * vX_[842] + vX_[1413] * vX_[872] + vX_[3492] * vX_[93] + vX_[2037] * vX_[33] + vX_[1576] * vX_[106] + vX_[459] * vX_[118] + vX_[714] * vX_[24] + vX_[793] * vX_[13] + vX_[141] * vX_[51] + vX_[2497] * vX_[23] + vX_[1710] * vX_[526] + vX_[691] * vX_[109] + vX_[178] * vX_[823] + vX_[1176] * vX_[816] - (vX_[1565] * vX_[828] + vX_[1201] * vX_[809]) + (vX_[1430] * vX_[828] + vX_[1201] * vX_[808]) * 0.08 - (vX_[1769] * vX_[863] + vX_[1035] * vX_[95] + vX_[1543] * vX_[94] + vX_[2960] * vX_[73] + vX_[1727] * vX_[85] + vX_[2622] * vX_[117] + vX_[1539] * vX_[18] + vX_[1403] * vX_[21] + vX_[1572] * vX_[34] + vX_[2948] * vX_[68] + vX_[1459] * vX_[3] + vX_[1710] * vX_[107] + vX_[1528] * vX_[42] + vX_[1432] * vX_[28] + (vX_[1244] * vX_[55] + vX_[3410] * vX_[70] + vX_[1978] * vX_[84] + vX_[1106] * vX_[80] + (vX_[2129] + vX_[1978] * vX_[8]) * 4.027 + vX_[1555] * vX_[73] + vX_[1535] * vX_[21] + vX_[2502] * vX_[24] + vX_[1244] * vX_[43] + vX_[1978] * vX_[22]) * 0.08 + vX_[1308] * vX_[810])) * vX_[3682] + (0 - (vX_[1541] * vX_[828] + vX_[1201] * vX_[823]) - (vX_[1565] * vX_[842] + vX_[178] * vX_[809]) + (vX_[1430] * vX_[842] + vX_[2125] * vX_[72] + vX_[572] * vX_[55] + vX_[1291] * vX_[73] + vX_[1420] * vX_[75] + (0 - (vX_[1399] + vX_[1244] * vX_[8] + vX_[572] * vX_[71])) * 4.027 + vX_[1491] * vX_[34] + vX_[1525] * vX_[13] + vX_[1537] * vX_[30] + vX_[1538] * vX_[39] + vX_[178] * vX_[808]) * 0.08 - (vX_[1769] * vX_[872] + vX_[1413] * vX_[863] + vX_[1035] * vX_[93] + vX_[3492] * vX_[95] + vX_[1543] * vX_[73] + vX_[2960] * vX_[92] + vX_[1727] * vX_[106] + vX_[2037] * vX_[18] + vX_[2622] * vX_[118] + vX_[1576] * vX_[85] + vX_[1539] * vX_[33] + vX_[459] * vX_[117] + vX_[1403] * vX_[24] + vX_[1572] * vX_[13] + vX_[714] * vX_[21] + vX_[793] * vX_[34] + vX_[2948] * vX_[51] + vX_[141] * vX_[68] + vX_[1459] * vX_[23] + vX_[2497] * vX_[3] + vX_[1710] * vX_[108] + vX_[1710] * vX_[109] + vX_[691] * vX_[107] + vX_[1528] * vX_[28] + vX_[1432] * vX_[38] + vX_[1308] * vX_[816] + vX_[1176] * vX_[810])) * vX_[3271];
+ vX_[1294] = vX_[1669] * vX_[88] + vX_[1663] * vX_[50] + vX_[322] * vX_[103] + vX_[443] * vX_[89] + vX_[1294] * vX_[5] + vX_[1696] * vX_[878];
+ vX_[443] = 0 - vX_[1294];
+ vX_[1563] = 0 - (vX_[1670] * vX_[101] + vX_[1976] * vX_[88] + vX_[1562] * vX_[50] + vX_[1705] * vX_[5] + vX_[1563] * vX_[89] + vX_[2939] * vX_[103] + vX_[1534] * vX_[878] + vX_[1672] * vX_[877]);
+ vX_[292] = vX_[1622] + vX_[292] * vX_[101] + vX_[1562] * vX_[88];
+ vX_[323] = vX_[292] + vX_[323] * vX_[5] + vX_[760] * vX_[103] + vX_[1672] * vX_[878];
+ vX_[760] = 0 - vX_[323];
+ vX_[1707] = vX_[335] + vX_[1707] * vX_[5] + vX_[1317] * vX_[103] * 2. + vX_[1672] * vX_[874] + vX_[1561] * vX_[878];
+ vX_[1317] = 0 - vX_[1707];
+ vX_[571] = vX_[2245] + vX_[309] * vX_[5] + vX_[571] * vX_[103] + vX_[1672] * vX_[875] + vX_[3093] * vX_[878];
+ vX_[2245] = 0 - vX_[571];
+ vX_[309] = (vX_[760] * vX_[17] + vX_[1317] * vX_[110] + vX_[2245] * vX_[119]) * 1 / vX_[0];
+ vX_[760] = vX_[2879] * vX_[831] + vX_[443] * vX_[98] + vX_[1563] * vX_[86] + vX_[760] * vX_[113] + vX_[309];
+ vX_[3550] = vX_[1557] + vX_[1579] * vX_[89] + vX_[3550] * vX_[5] * 2. + vX_[1696] * vX_[875];
+ vX_[1557] = vX_[3550] * vX_[4] + vX_[571] * vX_[65];
+ vX_[335] = vX_[3550] * vX_[65] + vX_[571] * vX_[9];
+ vX_[3537] = vX_[346] + vX_[3537] * vX_[5] + vX_[2313] * vX_[89] * 2. + vX_[1696] * vX_[874];
+ vX_[1703] = 0 - (0 - (vX_[1669] * vX_[101] + vX_[1668] * vX_[88]) + vX_[2007] * vX_[103] + vX_[337] * vX_[5] + vX_[1703] * vX_[89] + vX_[1696] * vX_[877]);
+ vX_[1670] = vX_[1622] + vX_[1670] * vX_[88] + vX_[1659] * vX_[50];
+ vX_[805] = 0 - (vX_[1670] + vX_[805] * vX_[89] + vX_[770] * vX_[103] + vX_[1534] * vX_[877]);
+ vX_[3501] = 0 - (vX_[3501] + vX_[1590] * vX_[89] + vX_[1579] * vX_[103] + vX_[1534] * vX_[874] + vX_[1561] * vX_[877]);
+ vX_[462] = vX_[500] + vX_[462] * vX_[89] + vX_[294] * vX_[103] * 2. + vX_[1534] * vX_[875] + vX_[3093] * vX_[877];
+ vX_[500] = 0 - vX_[462];
+ vX_[1563] = (vX_[805] * vX_[27] + vX_[1563] * vX_[17] + vX_[3501] * vX_[110] + vX_[500] * vX_[119]) * 1 / vX_[0];
+ vX_[805] = 0 - vX_[3537] + vX_[1530] * vX_[831] + vX_[1703] * vX_[98] + vX_[805] * vX_[86] + vX_[1563];
+ vX_[1534] = 0 - vX_[3550];
+ vX_[1579] = vX_[1579] + vX_[1561] * vX_[875] + vX_[3093] * vX_[874];
+ vX_[1590] = 0 - vX_[1579];
+ vX_[294] = vX_[294] + vX_[3093] * vX_[875];
+ vX_[770] = 0 - vX_[294];
+ vX_[1659] = vX_[770] * vX_[119] * 1 / vX_[0];
+ vX_[770] = vX_[2963] * vX_[831] + vX_[1534] * vX_[98] + vX_[500] * vX_[86] + vX_[2245] * vX_[113] + vX_[1590] * vX_[474] + vX_[770] * vX_[483] + vX_[1659];
+ vX_[500] = 0 - vX_[3537];
+ vX_[2313] = vX_[2313] + vX_[1561] * vX_[874];
+ vX_[2245] = 0 - vX_[2313];
+ vX_[1590] = (vX_[2245] * vX_[110] + vX_[1590] * vX_[119]) * 1 / vX_[0];
+ vX_[2245] = vX_[1986] * vX_[831] + vX_[500] * vX_[98] + vX_[3501] * vX_[86] + vX_[1317] * vX_[113] + vX_[2245] * vX_[474] + vX_[1590];
+ vX_[1670] = vX_[1656] + vX_[1666] + vX_[1622] - vX_[1670] - vX_[292] + vX_[985] * vX_[89] + vX_[1674] * vX_[5];
+ vX_[292] = vX_[1670] - vX_[323];
+ vX_[1674] = vX_[292] * vX_[4] + vX_[1294] * vX_[65];
+ vX_[985] = vX_[292] * vX_[65] + vX_[1294] * vX_[9];
+ vX_[1670] = 0 - vX_[1670];
+ vX_[500] = (vX_[1670] * vX_[97] + vX_[1703] * vX_[27] + vX_[443] * vX_[17] + vX_[500] * vX_[110] + vX_[1534] * vX_[119]) * 1 / vX_[0];
+ vX_[1670] = vX_[1551] * vX_[831] + vX_[1670] * vX_[98] + vX_[500];
+ vX_[1534] = vX_[760] * vX_[65] + vX_[1670] * vX_[4];
+ vX_[1703] = vX_[760] * vX_[9] + vX_[1670] * vX_[65];
+ vX_[462] = vX_[1707] - vX_[462];
+ vX_[500] = 0 - vX_[1551] * vX_[849] - vX_[1530] * vX_[817] - vX_[2879] * vX_[881] - vX_[1402] * vX_[1013] + vX_[1402] * vX_[831] - vX_[1986] * vX_[862] - vX_[2963] * vX_[855] - vX_[500] * vX_[98] - vX_[1563] * vX_[86] - vX_[309] * vX_[113] - vX_[1590] * vX_[474] - vX_[1659] * vX_[483];
+ vX_[1590] = 0 - vX_[294] + vX_[500];
+ vX_[1659] = vX_[1590] * vX_[4] + vX_[770] * vX_[65];
+ vX_[1563] = vX_[1590] * vX_[65] + vX_[770] * vX_[9];
+ vX_[309] = vX_[1659] * vX_[65] + vX_[1563] * vX_[4];
+ vX_[2963] = vX_[294] + vX_[1659] * vX_[4];
+ vX_[1986] = vX_[294] + vX_[1563] * vX_[65];
+ vX_[500] = vX_[2313] + vX_[294] + vX_[500] - vX_[2963] - vX_[1986];
+ vX_[2313] = 0 - vX_[500];
+ vX_[294] = vX_[3537] * vX_[4] + vX_[1707] * vX_[65];
+ vX_[1402] = vX_[294] + vX_[2313] * vX_[8];
+ vX_[2879] = 0 - vX_[1402];
+ vX_[294] = 0 - (vX_[462] * vX_[65] + vX_[805] * vX_[9]) + vX_[294];
+ vX_[1530] = vX_[3537] * vX_[65] + vX_[1707] * vX_[9];
+ vX_[1551] = vX_[1530] + vX_[500] * vX_[71];
+ vX_[443] = 0 - vX_[1551];
+ vX_[1622] = 0 - (vX_[1579] * vX_[65] + vX_[2245] * vX_[9]) + vX_[1579] * vX_[65] * 2.;
+ vX_[1666] = 0 - vX_[1622];
+ vX_[1656] = vX_[1579] * vX_[4] + vX_[2245] * vX_[65] + vX_[1579] * vX_[9] * 2.;
+ vX_[3501] = 0 - vX_[1656];
+ vX_[1317] = 0 - vX_[1986];
+ vX_[1530] = vX_[462] * vX_[4] + vX_[805] * vX_[65] + vX_[1530];
+ vX_[1668] = 0 - vX_[309];
+ vX_[1669] = 0 - vX_[1986];
+ jac[599] = 0 - (vX_[1672] * vX_[842] + vX_[3093] * vX_[872] + vX_[1294] * vX_[93] + vX_[760] * vX_[33] + vX_[1707] * vX_[106] + vX_[571] * vX_[118] + vX_[1557] * vX_[24] + vX_[335] * vX_[13] + vX_[805] * vX_[51] + vX_[770] * vX_[23] + vX_[1579] * vX_[526] + vX_[2245] * vX_[109] + vX_[137] * vX_[823] + vX_[1302] * vX_[816] - (vX_[1696] * vX_[828] + vX_[1360] * vX_[809]) + (vX_[1561] * vX_[828] + vX_[1360] * vX_[808]) * 0.08 - (vX_[2390] * vX_[863] + vX_[292] * vX_[95] + vX_[1674] * vX_[94] + vX_[985] * vX_[73] + vX_[3537] * vX_[85] + vX_[3550] * vX_[117] + vX_[1670] * vX_[18] + vX_[1534] * vX_[21] + vX_[1703] * vX_[34] + vX_[462] * vX_[68] + vX_[1590] * vX_[3] + vX_[1579] * vX_[107] + vX_[1659] * vX_[42] + vX_[1563] * vX_[28] + (vX_[309] * vX_[55] + vX_[2313] * vX_[70] + vX_[2963] * vX_[84] + vX_[2879] * vX_[80] + (vX_[294] + vX_[2963] * vX_[8]) * 4.027 + vX_[443] * vX_[73] + vX_[1666] * vX_[21] + vX_[3501] * vX_[24] + vX_[309] * vX_[43] + vX_[2963] * vX_[22]) * 0.08 + vX_[1439] * vX_[810])) * vX_[3682] + (0 - (vX_[1672] * vX_[828] + vX_[1360] * vX_[823]) - (vX_[1696] * vX_[842] + vX_[137] * vX_[809]) + (vX_[1561] * vX_[842] + vX_[500] * vX_[72] + vX_[1317] * vX_[55] + vX_[1402] * vX_[73] + vX_[1551] * vX_[75] + (0 - (vX_[1530] + vX_[309] * vX_[8] + vX_[1317] * vX_[71])) * 4.027 + vX_[1622] * vX_[34] + vX_[1656] * vX_[13] + vX_[1668] * vX_[30] + vX_[1669] * vX_[39] + vX_[137] * vX_[808]) * 0.08 - (vX_[2390] * vX_[872] + vX_[3093] * vX_[863] + vX_[292] * vX_[93] + vX_[1294] * vX_[95] + vX_[1674] * vX_[73] + vX_[985] * vX_[92] + vX_[3537] * vX_[106] + vX_[760] * vX_[18] + vX_[3550] * vX_[118] + vX_[1707] * vX_[85] + vX_[1670] * vX_[33] + vX_[571] * vX_[117] + vX_[1534] * vX_[24] + vX_[1703] * vX_[13] + vX_[1557] * vX_[21] + vX_[335] * vX_[34] + vX_[462] * vX_[51] + vX_[805] * vX_[68] + vX_[1590] * vX_[23] + vX_[770] * vX_[3] + vX_[1579] * vX_[108] + vX_[1579] * vX_[109] + vX_[2245] * vX_[107] + vX_[1659] * vX_[28] + vX_[1563] * vX_[38] + vX_[1439] * vX_[816] + vX_[1302] * vX_[810])) * vX_[3271];
+ vX_[990] = vX_[1821] * vX_[88] + vX_[1679] * vX_[50] + vX_[271] * vX_[103] + vX_[653] * vX_[89] + vX_[990] * vX_[5] + vX_[1843] * vX_[878];
+ vX_[653] = 0 - vX_[990];
+ vX_[1694] = 0 - (vX_[1626] * vX_[101] + vX_[2907] * vX_[88] + vX_[1693] * vX_[50] + vX_[1715] * vX_[5] + vX_[1694] * vX_[89] + vX_[124] * vX_[103] + vX_[1665] * vX_[878] + vX_[1717] * vX_[877]);
+ vX_[3239] = vX_[1591] + vX_[3239] * vX_[101] + vX_[1693] * vX_[88];
+ vX_[3541] = vX_[3239] + vX_[3541] * vX_[5] + vX_[363] * vX_[103] + vX_[1717] * vX_[878];
+ vX_[363] = 0 - vX_[3541];
+ vX_[1853] = vX_[1737] + vX_[1853] * vX_[5] + vX_[996] * vX_[103] * 2. + vX_[1717] * vX_[874] + vX_[1692] * vX_[878];
+ vX_[996] = 0 - vX_[1853];
+ vX_[3063] = vX_[2669] + vX_[345] * vX_[5] + vX_[3063] * vX_[103] + vX_[1717] * vX_[875] + vX_[515] * vX_[878];
+ vX_[2669] = 0 - vX_[3063];
+ vX_[345] = (vX_[363] * vX_[17] + vX_[996] * vX_[110] + vX_[2669] * vX_[119]) * 1 / vX_[0];
+ vX_[363] = vX_[281] * vX_[831] + vX_[653] * vX_[98] + vX_[1694] * vX_[86] + vX_[363] * vX_[113] + vX_[345];
+ vX_[748] = vX_[314] + vX_[3535] * vX_[89] + vX_[748] * vX_[5] * 2. + vX_[1843] * vX_[875];
+ vX_[314] = vX_[748] * vX_[4] + vX_[3063] * vX_[65];
+ vX_[1737] = vX_[748] * vX_[65] + vX_[3063] * vX_[9];
+ vX_[331] = vX_[284] + vX_[331] * vX_[5] + vX_[310] * vX_[89] * 2. + vX_[1843] * vX_[874];
+ vX_[1850] = 0 - (0 - (vX_[1821] * vX_[101] + vX_[1820] * vX_[88]) + vX_[3056] * vX_[103] + vX_[716] * vX_[5] + vX_[1850] * vX_[89] + vX_[1843] * vX_[877]);
+ vX_[1626] = vX_[1591] + vX_[1626] * vX_[88] + vX_[1690] * vX_[50];
+ vX_[1143] = 0 - (vX_[1626] + vX_[1143] * vX_[89] + vX_[336] * vX_[103] + vX_[1665] * vX_[877]);
+ vX_[3637] = 0 - (vX_[3637] + vX_[1664] * vX_[89] + vX_[3535] * vX_[103] + vX_[1665] * vX_[874] + vX_[1692] * vX_[877]);
+ vX_[2210] = vX_[3268] + vX_[2210] * vX_[89] + vX_[3618] * vX_[103] * 2. + vX_[1665] * vX_[875] + vX_[515] * vX_[877];
+ vX_[3268] = 0 - vX_[2210];
+ vX_[1694] = (vX_[1143] * vX_[27] + vX_[1694] * vX_[17] + vX_[3637] * vX_[110] + vX_[3268] * vX_[119]) * 1 / vX_[0];
+ vX_[1143] = 0 - vX_[331] + vX_[1661] * vX_[831] + vX_[1850] * vX_[98] + vX_[1143] * vX_[86] + vX_[1694];
+ vX_[1665] = 0 - vX_[748];
+ vX_[3535] = vX_[3535] + vX_[1692] * vX_[875] + vX_[515] * vX_[874];
+ vX_[1664] = 0 - vX_[3535];
+ vX_[3618] = vX_[3618] + vX_[515] * vX_[875];
+ vX_[336] = 0 - vX_[3618];
+ vX_[1690] = vX_[336] * vX_[119] * 1 / vX_[0];
+ vX_[336] = vX_[3485] * vX_[831] + vX_[1665] * vX_[98] + vX_[3268] * vX_[86] + vX_[2669] * vX_[113] + vX_[1664] * vX_[474] + vX_[336] * vX_[483] + vX_[1690];
+ vX_[3268] = 0 - vX_[331];
+ vX_[310] = vX_[310] + vX_[1692] * vX_[874];
+ vX_[2669] = 0 - vX_[310];
+ vX_[1664] = (vX_[2669] * vX_[110] + vX_[1664] * vX_[119]) * 1 / vX_[0];
+ vX_[2669] = vX_[516] * vX_[831] + vX_[3268] * vX_[98] + vX_[3637] * vX_[86] + vX_[996] * vX_[113] + vX_[2669] * vX_[474] + vX_[1664];
+ vX_[1626] = vX_[1811] + vX_[1818] + vX_[1591] - vX_[1626] - vX_[3239] + vX_[469] * vX_[89] + vX_[1823] * vX_[5];
+ vX_[3239] = vX_[1626] - vX_[3541];
+ vX_[1823] = vX_[3239] * vX_[4] + vX_[990] * vX_[65];
+ vX_[469] = vX_[3239] * vX_[65] + vX_[990] * vX_[9];
+ vX_[1626] = 0 - vX_[1626];
+ vX_[3268] = (vX_[1626] * vX_[97] + vX_[1850] * vX_[27] + vX_[653] * vX_[17] + vX_[3268] * vX_[110] + vX_[1665] * vX_[119]) * 1 / vX_[0];
+ vX_[1626] = vX_[1682] * vX_[831] + vX_[1626] * vX_[98] + vX_[3268];
+ vX_[1665] = vX_[363] * vX_[65] + vX_[1626] * vX_[4];
+ vX_[1850] = vX_[363] * vX_[9] + vX_[1626] * vX_[65];
+ vX_[2210] = vX_[1853] - vX_[2210];
+ vX_[3268] = 0 - vX_[1682] * vX_[849] - vX_[1661] * vX_[817] - vX_[281] * vX_[881] - vX_[1533] * vX_[1013] + vX_[1533] * vX_[831] - vX_[516] * vX_[862] - vX_[3485] * vX_[855] - vX_[3268] * vX_[98] - vX_[1694] * vX_[86] - vX_[345] * vX_[113] - vX_[1664] * vX_[474] - vX_[1690] * vX_[483];
+ vX_[1664] = 0 - vX_[3618] + vX_[3268];
+ vX_[1690] = vX_[1664] * vX_[4] + vX_[336] * vX_[65];
+ vX_[1694] = vX_[1664] * vX_[65] + vX_[336] * vX_[9];
+ vX_[345] = vX_[1690] * vX_[65] + vX_[1694] * vX_[4];
+ vX_[3485] = vX_[3618] + vX_[1690] * vX_[4];
+ vX_[516] = vX_[3618] + vX_[1694] * vX_[65];
+ vX_[3268] = vX_[310] + vX_[3618] + vX_[3268] - vX_[3485] - vX_[516];
+ vX_[310] = 0 - vX_[3268];
+ vX_[3618] = vX_[331] * vX_[4] + vX_[1853] * vX_[65];
+ vX_[1533] = vX_[3618] + vX_[310] * vX_[8];
+ vX_[281] = 0 - vX_[1533];
+ vX_[3618] = 0 - (vX_[2210] * vX_[65] + vX_[1143] * vX_[9]) + vX_[3618];
+ vX_[1661] = vX_[331] * vX_[65] + vX_[1853] * vX_[9];
+ vX_[1682] = vX_[1661] + vX_[3268] * vX_[71];
+ vX_[653] = 0 - vX_[1682];
+ vX_[1591] = 0 - (vX_[3535] * vX_[65] + vX_[2669] * vX_[9]) + vX_[3535] * vX_[65] * 2.;
+ vX_[1818] = 0 - vX_[1591];
+ vX_[1811] = vX_[3535] * vX_[4] + vX_[2669] * vX_[65] + vX_[3535] * vX_[9] * 2.;
+ vX_[3637] = 0 - vX_[1811];
+ vX_[996] = 0 - vX_[516];
+ vX_[1661] = vX_[2210] * vX_[4] + vX_[1143] * vX_[65] + vX_[1661];
+ vX_[1820] = 0 - vX_[345];
+ vX_[1821] = 0 - vX_[516];
+ jac[600] = 0 - (vX_[1717] * vX_[842] + vX_[515] * vX_[872] + vX_[990] * vX_[93] + vX_[363] * vX_[33] + vX_[1853] * vX_[106] + vX_[3063] * vX_[118] + vX_[314] * vX_[24] + vX_[1737] * vX_[13] + vX_[1143] * vX_[51] + vX_[336] * vX_[23] + vX_[3535] * vX_[526] + vX_[2669] * vX_[109] + vX_[2870] * vX_[823] + vX_[1422] * vX_[816] - (vX_[1843] * vX_[828] + vX_[1492] * vX_[809]) + (vX_[1692] * vX_[828] + vX_[1492] * vX_[808]) * 0.08 - (vX_[777] * vX_[863] + vX_[3239] * vX_[95] + vX_[1823] * vX_[94] + vX_[469] * vX_[73] + vX_[331] * vX_[85] + vX_[748] * vX_[117] + vX_[1626] * vX_[18] + vX_[1665] * vX_[21] + vX_[1850] * vX_[34] + vX_[2210] * vX_[68] + vX_[1664] * vX_[3] + vX_[3535] * vX_[107] + vX_[1690] * vX_[42] + vX_[1694] * vX_[28] + (vX_[345] * vX_[55] + vX_[310] * vX_[70] + vX_[3485] * vX_[84] + vX_[281] * vX_[80] + (vX_[3618] + vX_[3485] * vX_[8]) * 4.027 + vX_[653] * vX_[73] + vX_[1818] * vX_[21] + vX_[3637] * vX_[24] + vX_[345] * vX_[43] + vX_[3485] * vX_[22]) * 0.08 + vX_[1570] * vX_[810])) * vX_[3682] + (0 - (vX_[1717] * vX_[828] + vX_[1492] * vX_[823]) - (vX_[1843] * vX_[842] + vX_[2870] * vX_[809]) + (vX_[1692] * vX_[842] + vX_[3268] * vX_[72] + vX_[996] * vX_[55] + vX_[1533] * vX_[73] + vX_[1682] * vX_[75] + (0 - (vX_[1661] + vX_[345] * vX_[8] + vX_[996] * vX_[71])) * 4.027 + vX_[1591] * vX_[34] + vX_[1811] * vX_[13] + vX_[1820] * vX_[30] + vX_[1821] * vX_[39] + vX_[2870] * vX_[808]) * 0.08 - (vX_[777] * vX_[872] + vX_[515] * vX_[863] + vX_[3239] * vX_[93] + vX_[990] * vX_[95] + vX_[1823] * vX_[73] + vX_[469] * vX_[92] + vX_[331] * vX_[106] + vX_[363] * vX_[18] + vX_[748] * vX_[118] + vX_[1853] * vX_[85] + vX_[1626] * vX_[33] + vX_[3063] * vX_[117] + vX_[1665] * vX_[24] + vX_[1850] * vX_[13] + vX_[314] * vX_[21] + vX_[1737] * vX_[34] + vX_[2210] * vX_[51] + vX_[1143] * vX_[68] + vX_[1664] * vX_[23] + vX_[336] * vX_[3] + vX_[3535] * vX_[108] + vX_[3535] * vX_[109] + vX_[2669] * vX_[107] + vX_[1690] * vX_[28] + vX_[1694] * vX_[38] + vX_[1570] * vX_[816] + vX_[1422] * vX_[810])) * vX_[3271];
+ vX_[3099] = vX_[1972] * vX_[88] + vX_[1713] * vX_[50] + vX_[792] * vX_[103] + vX_[3094] * vX_[89] + vX_[3099] * vX_[5] + vX_[1994] * vX_[878];
+ vX_[3094] = 0 - vX_[3099];
+ vX_[1722] = 0 - (vX_[1830] * vX_[101] + vX_[3639] * vX_[88] + vX_[1841] * vX_[50] + vX_[1839] * vX_[5] + vX_[1722] * vX_[89] + vX_[2679] * vX_[103] + vX_[1569] * vX_[878] + vX_[1829] * vX_[877]);
+ vX_[2386] = vX_[1886] + vX_[2386] * vX_[101] + vX_[1841] * vX_[88];
+ vX_[2344] = vX_[2386] + vX_[2344] * vX_[5] + vX_[2653] * vX_[103] + vX_[1829] * vX_[878];
+ vX_[2653] = 0 - vX_[2344];
+ vX_[2004] = vX_[2295] + vX_[2004] * vX_[5] + vX_[2965] * vX_[103] * 2. + vX_[1829] * vX_[874] + vX_[1776] * vX_[878];
+ vX_[2965] = 0 - vX_[2004];
+ vX_[3122] = vX_[2176] + vX_[736] * vX_[5] + vX_[3122] * vX_[103] + vX_[1829] * vX_[875] + vX_[768] * vX_[878];
+ vX_[2176] = 0 - vX_[3122];
+ vX_[736] = (vX_[2653] * vX_[17] + vX_[2965] * vX_[110] + vX_[2176] * vX_[119]) * 1 / vX_[0];
+ vX_[2653] = vX_[341] * vX_[831] + vX_[3094] * vX_[98] + vX_[1722] * vX_[86] + vX_[2653] * vX_[113] + vX_[736];
+ vX_[1417] = vX_[1321] + vX_[742] * vX_[89] + vX_[1417] * vX_[5] * 2. + vX_[1994] * vX_[875];
+ vX_[1321] = vX_[1417] * vX_[4] + vX_[3122] * vX_[65];
+ vX_[2295] = vX_[1417] * vX_[65] + vX_[3122] * vX_[9];
+ vX_[1757] = vX_[3392] + vX_[1757] * vX_[5] + vX_[373] * vX_[89] * 2. + vX_[1994] * vX_[874];
+ vX_[2001] = 0 - (0 - (vX_[1972] * vX_[101] + vX_[1971] * vX_[88]) + vX_[1220] * vX_[103] + vX_[2092] * vX_[5] + vX_[2001] * vX_[89] + vX_[1994] * vX_[877]);
+ vX_[1830] = vX_[1886] + vX_[1830] * vX_[88] + vX_[1586] * vX_[50];
+ vX_[1271] = 0 - (vX_[1830] + vX_[1271] * vX_[89] + vX_[2811] * vX_[103] + vX_[1569] * vX_[877]);
+ vX_[3198] = 0 - (vX_[3198] + vX_[1857] * vX_[89] + vX_[742] * vX_[103] + vX_[1569] * vX_[874] + vX_[1776] * vX_[877]);
+ vX_[3065] = vX_[1378] + vX_[3065] * vX_[89] + vX_[1870] * vX_[103] * 2. + vX_[1569] * vX_[875] + vX_[768] * vX_[877];
+ vX_[1378] = 0 - vX_[3065];
+ vX_[1722] = (vX_[1271] * vX_[27] + vX_[1722] * vX_[17] + vX_[3198] * vX_[110] + vX_[1378] * vX_[119]) * 1 / vX_[0];
+ vX_[1271] = 0 - vX_[1757] + vX_[1815] * vX_[831] + vX_[2001] * vX_[98] + vX_[1271] * vX_[86] + vX_[1722];
+ vX_[1569] = 0 - vX_[1417];
+ vX_[742] = vX_[742] + vX_[1776] * vX_[875] + vX_[768] * vX_[874];
+ vX_[1857] = 0 - vX_[742];
+ vX_[1870] = vX_[1870] + vX_[768] * vX_[875];
+ vX_[2811] = 0 - vX_[1870];
+ vX_[1586] = vX_[2811] * vX_[119] * 1 / vX_[0];
+ vX_[2811] = vX_[3611] * vX_[831] + vX_[1569] * vX_[98] + vX_[1378] * vX_[86] + vX_[2176] * vX_[113] + vX_[1857] * vX_[474] + vX_[2811] * vX_[483] + vX_[1586];
+ vX_[1378] = 0 - vX_[1757];
+ vX_[373] = vX_[373] + vX_[1776] * vX_[874];
+ vX_[2176] = 0 - vX_[373];
+ vX_[1857] = (vX_[2176] * vX_[110] + vX_[1857] * vX_[119]) * 1 / vX_[0];
+ vX_[2176] = vX_[2830] * vX_[831] + vX_[1378] * vX_[98] + vX_[3198] * vX_[86] + vX_[2965] * vX_[113] + vX_[2176] * vX_[474] + vX_[1857];
+ vX_[1830] = vX_[1962] + vX_[1969] + vX_[1886] - vX_[1830] - vX_[2386] + vX_[662] * vX_[89] + vX_[1974] * vX_[5];
+ vX_[2386] = vX_[1830] - vX_[2344];
+ vX_[1974] = vX_[2386] * vX_[4] + vX_[3099] * vX_[65];
+ vX_[662] = vX_[2386] * vX_[65] + vX_[3099] * vX_[9];
+ vX_[1830] = 0 - vX_[1830];
+ vX_[1378] = (vX_[1830] * vX_[97] + vX_[2001] * vX_[27] + vX_[3094] * vX_[17] + vX_[1378] * vX_[110] + vX_[1569] * vX_[119]) * 1 / vX_[0];
+ vX_[1830] = vX_[1831] * vX_[831] + vX_[1830] * vX_[98] + vX_[1378];
+ vX_[1569] = vX_[2653] * vX_[65] + vX_[1830] * vX_[4];
+ vX_[2001] = vX_[2653] * vX_[9] + vX_[1830] * vX_[65];
+ vX_[3065] = vX_[2004] - vX_[3065];
+ vX_[1378] = 0 - vX_[1831] * vX_[849] - vX_[1815] * vX_[817] - vX_[341] * vX_[881] - vX_[1343] * vX_[1013] + vX_[1343] * vX_[831] - vX_[2830] * vX_[862] - vX_[3611] * vX_[855] - vX_[1378] * vX_[98] - vX_[1722] * vX_[86] - vX_[736] * vX_[113] - vX_[1857] * vX_[474] - vX_[1586] * vX_[483];
+ vX_[1857] = 0 - vX_[1870] + vX_[1378];
+ vX_[1586] = vX_[1857] * vX_[4] + vX_[2811] * vX_[65];
+ vX_[1722] = vX_[1857] * vX_[65] + vX_[2811] * vX_[9];
+ vX_[736] = vX_[1586] * vX_[65] + vX_[1722] * vX_[4];
+ vX_[3611] = vX_[1870] + vX_[1586] * vX_[4];
+ vX_[2830] = vX_[1870] + vX_[1722] * vX_[65];
+ vX_[1378] = vX_[373] + vX_[1870] + vX_[1378] - vX_[3611] - vX_[2830];
+ vX_[373] = 0 - vX_[1378];
+ vX_[1870] = vX_[1757] * vX_[4] + vX_[2004] * vX_[65];
+ vX_[1343] = vX_[1870] + vX_[373] * vX_[8];
+ vX_[341] = 0 - vX_[1343];
+ vX_[1870] = 0 - (vX_[3065] * vX_[65] + vX_[1271] * vX_[9]) + vX_[1870];
+ vX_[1815] = vX_[1757] * vX_[65] + vX_[2004] * vX_[9];
+ vX_[1831] = vX_[1815] + vX_[1378] * vX_[71];
+ vX_[3094] = 0 - vX_[1831];
+ vX_[1886] = 0 - (vX_[742] * vX_[65] + vX_[2176] * vX_[9]) + vX_[742] * vX_[65] * 2.;
+ vX_[1969] = 0 - vX_[1886];
+ vX_[1962] = vX_[742] * vX_[4] + vX_[2176] * vX_[65] + vX_[742] * vX_[9] * 2.;
+ vX_[3198] = 0 - vX_[1962];
+ vX_[2965] = 0 - vX_[2830];
+ vX_[1815] = vX_[3065] * vX_[4] + vX_[1271] * vX_[65] + vX_[1815];
+ vX_[1971] = 0 - vX_[736];
+ vX_[1972] = 0 - vX_[2830];
+ jac[601] = 0 - (vX_[1829] * vX_[842] + vX_[768] * vX_[872] + vX_[3099] * vX_[93] + vX_[2653] * vX_[33] + vX_[2004] * vX_[106] + vX_[3122] * vX_[118] + vX_[1321] * vX_[24] + vX_[2295] * vX_[13] + vX_[1271] * vX_[51] + vX_[2811] * vX_[23] + vX_[742] * vX_[526] + vX_[2176] * vX_[109] + vX_[2765] * vX_[823] + vX_[1553] * vX_[816] - (vX_[1994] * vX_[828] + vX_[1623] * vX_[809]) + (vX_[1776] * vX_[828] + vX_[1623] * vX_[808]) * 0.08 - (vX_[276] * vX_[863] + vX_[2386] * vX_[95] + vX_[1974] * vX_[94] + vX_[662] * vX_[73] + vX_[1757] * vX_[85] + vX_[1417] * vX_[117] + vX_[1830] * vX_[18] + vX_[1569] * vX_[21] + vX_[2001] * vX_[34] + vX_[3065] * vX_[68] + vX_[1857] * vX_[3] + vX_[742] * vX_[107] + vX_[1586] * vX_[42] + vX_[1722] * vX_[28] + (vX_[736] * vX_[55] + vX_[373] * vX_[70] + vX_[3611] * vX_[84] + vX_[341] * vX_[80] + (vX_[1870] + vX_[3611] * vX_[8]) * 4.027 + vX_[3094] * vX_[73] + vX_[1969] * vX_[21] + vX_[3198] * vX_[24] + vX_[736] * vX_[43] + vX_[3611] * vX_[22]) * 0.08 + vX_[1701] * vX_[810])) * vX_[3682] + (0 - (vX_[1829] * vX_[828] + vX_[1623] * vX_[823]) - (vX_[1994] * vX_[842] + vX_[2765] * vX_[809]) + (vX_[1776] * vX_[842] + vX_[1378] * vX_[72] + vX_[2965] * vX_[55] + vX_[1343] * vX_[73] + vX_[1831] * vX_[75] + (0 - (vX_[1815] + vX_[736] * vX_[8] + vX_[2965] * vX_[71])) * 4.027 + vX_[1886] * vX_[34] + vX_[1962] * vX_[13] + vX_[1971] * vX_[30] + vX_[1972] * vX_[39] + vX_[2765] * vX_[808]) * 0.08 - (vX_[276] * vX_[872] + vX_[768] * vX_[863] + vX_[2386] * vX_[93] + vX_[3099] * vX_[95] + vX_[1974] * vX_[73] + vX_[662] * vX_[92] + vX_[1757] * vX_[106] + vX_[2653] * vX_[18] + vX_[1417] * vX_[118] + vX_[2004] * vX_[85] + vX_[1830] * vX_[33] + vX_[3122] * vX_[117] + vX_[1569] * vX_[24] + vX_[2001] * vX_[13] + vX_[1321] * vX_[21] + vX_[2295] * vX_[34] + vX_[3065] * vX_[51] + vX_[1271] * vX_[68] + vX_[1857] * vX_[23] + vX_[2811] * vX_[3] + vX_[742] * vX_[108] + vX_[742] * vX_[109] + vX_[2176] * vX_[107] + vX_[1586] * vX_[28] + vX_[1722] * vX_[38] + vX_[1701] * vX_[816] + vX_[1553] * vX_[810])) * vX_[3271];
+ vX_[3088] = vX_[2120] * vX_[88] + vX_[1865] * vX_[50] + vX_[1795] * vX_[103] + vX_[1598] * vX_[89] + vX_[3088] * vX_[5] + vX_[2142] * vX_[878];
+ vX_[1598] = 0 - vX_[3088];
+ vX_[1845] = 0 - (vX_[1981] * vX_[101] + vX_[2370] * vX_[88] + vX_[1992] * vX_[50] + vX_[1990] * vX_[5] + vX_[1845] * vX_[89] + vX_[2284] * vX_[103] + vX_[1695] * vX_[878] + vX_[1980] * vX_[877]);
+ vX_[1770] = vX_[2036] + vX_[1770] * vX_[101] + vX_[1992] * vX_[88];
+ vX_[2157] = vX_[1770] + vX_[2157] * vX_[5] + vX_[406] * vX_[103] + vX_[1980] * vX_[878];
+ vX_[406] = 0 - vX_[2157];
+ vX_[2152] = vX_[1033] + vX_[2152] * vX_[5] + vX_[2131] * vX_[103] * 2. + vX_[1980] * vX_[874] + vX_[1801] * vX_[878];
+ vX_[2131] = 0 - vX_[2152];
+ vX_[790] = vX_[1004] + vX_[2062] * vX_[5] + vX_[790] * vX_[103] + vX_[1980] * vX_[875] + vX_[2624] * vX_[878];
+ vX_[1004] = 0 - vX_[790];
+ vX_[2062] = (vX_[406] * vX_[17] + vX_[2131] * vX_[110] + vX_[1004] * vX_[119]) * 1 / vX_[0];
+ vX_[406] = vX_[2489] * vX_[831] + vX_[1598] * vX_[98] + vX_[1845] * vX_[86] + vX_[406] * vX_[113] + vX_[2062];
+ vX_[3235] = vX_[789] + vX_[2613] * vX_[89] + vX_[3235] * vX_[5] * 2. + vX_[2142] * vX_[875];
+ vX_[789] = vX_[3235] * vX_[4] + vX_[790] * vX_[65];
+ vX_[1033] = vX_[3235] * vX_[65] + vX_[790] * vX_[9];
+ vX_[1102] = vX_[1973] + vX_[1102] * vX_[5] + vX_[2019] * vX_[89] * 2. + vX_[2142] * vX_[874];
+ vX_[2149] = 0 - (0 - (vX_[2120] * vX_[101] + vX_[2119] * vX_[88]) + vX_[1504] * vX_[103] + vX_[1192] * vX_[5] + vX_[2149] * vX_[89] + vX_[2142] * vX_[877]);
+ vX_[1981] = vX_[2036] + vX_[1981] * vX_[88] + vX_[1832] * vX_[50];
+ vX_[1400] = 0 - (vX_[1981] + vX_[1400] * vX_[89] + vX_[2180] * vX_[103] + vX_[1695] * vX_[877]);
+ vX_[2758] = 0 - (vX_[2758] + vX_[2020] * vX_[89] + vX_[2613] * vX_[103] + vX_[1695] * vX_[874] + vX_[1801] * vX_[877]);
+ vX_[2323] = vX_[769] + vX_[2323] * vX_[89] + vX_[1930] * vX_[103] * 2. + vX_[1695] * vX_[875] + vX_[2624] * vX_[877];
+ vX_[769] = 0 - vX_[2323];
+ vX_[1845] = (vX_[1400] * vX_[27] + vX_[1845] * vX_[17] + vX_[2758] * vX_[110] + vX_[769] * vX_[119]) * 1 / vX_[0];
+ vX_[1400] = 0 - vX_[1102] + vX_[1966] * vX_[831] + vX_[2149] * vX_[98] + vX_[1400] * vX_[86] + vX_[1845];
+ vX_[1695] = 0 - vX_[3235];
+ vX_[2613] = vX_[2613] + vX_[1801] * vX_[875] + vX_[2624] * vX_[874];
+ vX_[2020] = 0 - vX_[2613];
+ vX_[1930] = vX_[1930] + vX_[2624] * vX_[875];
+ vX_[2180] = 0 - vX_[1930];
+ vX_[1832] = vX_[2180] * vX_[119] * 1 / vX_[0];
+ vX_[2180] = vX_[2971] * vX_[831] + vX_[1695] * vX_[98] + vX_[769] * vX_[86] + vX_[1004] * vX_[113] + vX_[2020] * vX_[474] + vX_[2180] * vX_[483] + vX_[1832];
+ vX_[769] = 0 - vX_[1102];
+ vX_[2019] = vX_[2019] + vX_[1801] * vX_[874];
+ vX_[1004] = 0 - vX_[2019];
+ vX_[2020] = (vX_[1004] * vX_[110] + vX_[2020] * vX_[119]) * 1 / vX_[0];
+ vX_[1004] = vX_[3086] * vX_[831] + vX_[769] * vX_[98] + vX_[2758] * vX_[86] + vX_[2131] * vX_[113] + vX_[1004] * vX_[474] + vX_[2020];
+ vX_[1981] = vX_[2110] + vX_[2117] + vX_[2036] - vX_[1981] - vX_[1770] + vX_[1689] * vX_[89] + vX_[2122] * vX_[5];
+ vX_[1770] = vX_[1981] - vX_[2157];
+ vX_[2122] = vX_[1770] * vX_[4] + vX_[3088] * vX_[65];
+ vX_[1689] = vX_[1770] * vX_[65] + vX_[3088] * vX_[9];
+ vX_[1981] = 0 - vX_[1981];
+ vX_[769] = (vX_[1981] * vX_[97] + vX_[2149] * vX_[27] + vX_[1598] * vX_[17] + vX_[769] * vX_[110] + vX_[1695] * vX_[119]) * 1 / vX_[0];
+ vX_[1981] = vX_[1982] * vX_[831] + vX_[1981] * vX_[98] + vX_[769];
+ vX_[1695] = vX_[406] * vX_[65] + vX_[1981] * vX_[4];
+ vX_[2149] = vX_[406] * vX_[9] + vX_[1981] * vX_[65];
+ vX_[2323] = vX_[2152] - vX_[2323];
+ vX_[769] = 0 - vX_[1982] * vX_[849] - vX_[1966] * vX_[817] - vX_[2489] * vX_[881] - vX_[1920] * vX_[1013] + vX_[1920] * vX_[831] - vX_[3086] * vX_[862] - vX_[2971] * vX_[855] - vX_[769] * vX_[98] - vX_[1845] * vX_[86] - vX_[2062] * vX_[113] - vX_[2020] * vX_[474] - vX_[1832] * vX_[483];
+ vX_[2020] = 0 - vX_[1930] + vX_[769];
+ vX_[1832] = vX_[2020] * vX_[4] + vX_[2180] * vX_[65];
+ vX_[1845] = vX_[2020] * vX_[65] + vX_[2180] * vX_[9];
+ vX_[2062] = vX_[1832] * vX_[65] + vX_[1845] * vX_[4];
+ vX_[2971] = vX_[1930] + vX_[1832] * vX_[4];
+ vX_[3086] = vX_[1930] + vX_[1845] * vX_[65];
+ vX_[769] = vX_[2019] + vX_[1930] + vX_[769] - vX_[2971] - vX_[3086];
+ vX_[2019] = 0 - vX_[769];
+ vX_[1930] = vX_[1102] * vX_[4] + vX_[2152] * vX_[65];
+ vX_[1920] = vX_[1930] + vX_[2019] * vX_[8];
+ vX_[2489] = 0 - vX_[1920];
+ vX_[1930] = 0 - (vX_[2323] * vX_[65] + vX_[1400] * vX_[9]) + vX_[1930];
+ vX_[1966] = vX_[1102] * vX_[65] + vX_[2152] * vX_[9];
+ vX_[1982] = vX_[1966] + vX_[769] * vX_[71];
+ vX_[1598] = 0 - vX_[1982];
+ vX_[2036] = 0 - (vX_[2613] * vX_[65] + vX_[1004] * vX_[9]) + vX_[2613] * vX_[65] * 2.;
+ vX_[2117] = 0 - vX_[2036];
+ vX_[2110] = vX_[2613] * vX_[4] + vX_[1004] * vX_[65] + vX_[2613] * vX_[9] * 2.;
+ vX_[2758] = 0 - vX_[2110];
+ vX_[2131] = 0 - vX_[3086];
+ vX_[1966] = vX_[2323] * vX_[4] + vX_[1400] * vX_[65] + vX_[1966];
+ vX_[2119] = 0 - vX_[2062];
+ vX_[2120] = 0 - vX_[3086];
+ jac[602] = 0 - (vX_[1980] * vX_[842] + vX_[2624] * vX_[872] + vX_[3088] * vX_[93] + vX_[406] * vX_[33] + vX_[2152] * vX_[106] + vX_[790] * vX_[118] + vX_[789] * vX_[24] + vX_[1033] * vX_[13] + vX_[1400] * vX_[51] + vX_[2180] * vX_[23] + vX_[2613] * vX_[526] + vX_[1004] * vX_[109] + vX_[2460] * vX_[823] + vX_[1750] * vX_[816] - (vX_[2142] * vX_[828] + vX_[1691] * vX_[809]) + (vX_[1801] * vX_[828] + vX_[1691] * vX_[808]) * 0.08 - (vX_[2519] * vX_[863] + vX_[1770] * vX_[95] + vX_[2122] * vX_[94] + vX_[1689] * vX_[73] + vX_[1102] * vX_[85] + vX_[3235] * vX_[117] + vX_[1981] * vX_[18] + vX_[1695] * vX_[21] + vX_[2149] * vX_[34] + vX_[2323] * vX_[68] + vX_[2020] * vX_[3] + vX_[2613] * vX_[107] + vX_[1832] * vX_[42] + vX_[1845] * vX_[28] + (vX_[2062] * vX_[55] + vX_[2019] * vX_[70] + vX_[2971] * vX_[84] + vX_[2489] * vX_[80] + (vX_[1930] + vX_[2971] * vX_[8]) * 4.027 + vX_[1598] * vX_[73] + vX_[2117] * vX_[21] + vX_[2758] * vX_[24] + vX_[2062] * vX_[43] + vX_[2971] * vX_[22]) * 0.08 + vX_[1848] * vX_[810])) * vX_[3682] + (0 - (vX_[1980] * vX_[828] + vX_[1691] * vX_[823]) - (vX_[2142] * vX_[842] + vX_[2460] * vX_[809]) + (vX_[1801] * vX_[842] + vX_[769] * vX_[72] + vX_[2131] * vX_[55] + vX_[1920] * vX_[73] + vX_[1982] * vX_[75] + (0 - (vX_[1966] + vX_[2062] * vX_[8] + vX_[2131] * vX_[71])) * 4.027 + vX_[2036] * vX_[34] + vX_[2110] * vX_[13] + vX_[2119] * vX_[30] + vX_[2120] * vX_[39] + vX_[2460] * vX_[808]) * 0.08 - (vX_[2519] * vX_[872] + vX_[2624] * vX_[863] + vX_[1770] * vX_[93] + vX_[3088] * vX_[95] + vX_[2122] * vX_[73] + vX_[1689] * vX_[92] + vX_[1102] * vX_[106] + vX_[406] * vX_[18] + vX_[3235] * vX_[118] + vX_[2152] * vX_[85] + vX_[1981] * vX_[33] + vX_[790] * vX_[117] + vX_[1695] * vX_[24] + vX_[2149] * vX_[13] + vX_[789] * vX_[21] + vX_[1033] * vX_[34] + vX_[2323] * vX_[51] + vX_[1400] * vX_[68] + vX_[2020] * vX_[23] + vX_[2180] * vX_[3] + vX_[2613] * vX_[108] + vX_[2613] * vX_[109] + vX_[1004] * vX_[107] + vX_[1832] * vX_[28] + vX_[1845] * vX_[38] + vX_[1848] * vX_[816] + vX_[1750] * vX_[810])) * vX_[3271];
+ vX_[2764] = vX_[2258] * vX_[88] + vX_[2127] * vX_[50] + vX_[2301] * vX_[103] + vX_[2165] * vX_[89] + vX_[2764] * vX_[5] + vX_[2280] * vX_[878];
+ vX_[2165] = 0 - vX_[2764];
+ vX_[1996] = 0 - (vX_[2143] * vX_[101] + vX_[2012] * vX_[88] + vX_[2140] * vX_[50] + vX_[2160] * vX_[5] + vX_[1996] * vX_[89] + vX_[3007] * vX_[103] + vX_[1861] * vX_[878] + vX_[2161] * vX_[877]);
+ vX_[2914] = vX_[1949] + vX_[2914] * vX_[101] + vX_[2140] * vX_[88];
+ vX_[2203] = vX_[2914] + vX_[2203] * vX_[5] + vX_[1952] * vX_[103] + vX_[2161] * vX_[878];
+ vX_[1952] = 0 - vX_[2203];
+ vX_[2290] = vX_[3353] + vX_[2290] * vX_[5] + vX_[466] * vX_[103] * 2. + vX_[2161] * vX_[874] + vX_[1953] * vX_[878];
+ vX_[466] = 0 - vX_[2290];
+ vX_[432] = vX_[2116] + vX_[2909] * vX_[5] + vX_[432] * vX_[103] + vX_[2161] * vX_[875] + vX_[3458] * vX_[878];
+ vX_[2116] = 0 - vX_[432];
+ vX_[2909] = (vX_[1952] * vX_[17] + vX_[466] * vX_[110] + vX_[2116] * vX_[119]) * 1 / vX_[0];
+ vX_[1952] = vX_[2981] * vX_[831] + vX_[2165] * vX_[98] + vX_[1996] * vX_[86] + vX_[1952] * vX_[113] + vX_[2909];
+ vX_[2018] = vX_[2279] + vX_[1126] * vX_[89] + vX_[2018] * vX_[5] * 2. + vX_[2280] * vX_[875];
+ vX_[2279] = vX_[2018] * vX_[4] + vX_[432] * vX_[65];
+ vX_[3353] = vX_[2018] * vX_[65] + vX_[432] * vX_[9];
+ vX_[2739] = vX_[2155] + vX_[2739] * vX_[5] + vX_[2967] * vX_[89] * 2. + vX_[2280] * vX_[874];
+ vX_[2287] = 0 - (0 - (vX_[2258] * vX_[101] + vX_[2257] * vX_[88]) + vX_[2493] * vX_[103] + vX_[2408] * vX_[5] + vX_[2287] * vX_[89] + vX_[2280] * vX_[877]);
+ vX_[2143] = vX_[1949] + vX_[2143] * vX_[88] + vX_[2137] * vX_[50];
+ vX_[1531] = 0 - (vX_[2143] + vX_[1531] * vX_[89] + vX_[2200] * vX_[103] + vX_[1861] * vX_[877]);
+ vX_[3406] = 0 - (vX_[3406] + vX_[2168] * vX_[89] + vX_[1126] * vX_[103] + vX_[1861] * vX_[874] + vX_[1953] * vX_[877]);
+ vX_[2575] = vX_[2201] + vX_[2575] * vX_[89] + vX_[969] * vX_[103] * 2. + vX_[1861] * vX_[875] + vX_[3458] * vX_[877];
+ vX_[2201] = 0 - vX_[2575];
+ vX_[1996] = (vX_[1531] * vX_[27] + vX_[1996] * vX_[17] + vX_[3406] * vX_[110] + vX_[2201] * vX_[119]) * 1 / vX_[0];
+ vX_[1531] = 0 - vX_[2739] + vX_[2114] * vX_[831] + vX_[2287] * vX_[98] + vX_[1531] * vX_[86] + vX_[1996];
+ vX_[1861] = 0 - vX_[2018];
+ vX_[1126] = vX_[1126] + vX_[1953] * vX_[875] + vX_[3458] * vX_[874];
+ vX_[2168] = 0 - vX_[1126];
+ vX_[969] = vX_[969] + vX_[3458] * vX_[875];
+ vX_[2200] = 0 - vX_[969];
+ vX_[2137] = vX_[2200] * vX_[119] * 1 / vX_[0];
+ vX_[2200] = vX_[1452] * vX_[831] + vX_[1861] * vX_[98] + vX_[2201] * vX_[86] + vX_[2116] * vX_[113] + vX_[2168] * vX_[474] + vX_[2200] * vX_[483] + vX_[2137];
+ vX_[2201] = 0 - vX_[2739];
+ vX_[2967] = vX_[2967] + vX_[1953] * vX_[874];
+ vX_[2116] = 0 - vX_[2967];
+ vX_[2168] = (vX_[2116] * vX_[110] + vX_[2168] * vX_[119]) * 1 / vX_[0];
+ vX_[2116] = vX_[2757] * vX_[831] + vX_[2201] * vX_[98] + vX_[3406] * vX_[86] + vX_[466] * vX_[113] + vX_[2116] * vX_[474] + vX_[2168];
+ vX_[2143] = vX_[2248] + vX_[2255] + vX_[1949] - vX_[2143] - vX_[2914] + vX_[2107] * vX_[89] + vX_[2260] * vX_[5];
+ vX_[2914] = vX_[2143] - vX_[2203];
+ vX_[2260] = vX_[2914] * vX_[4] + vX_[2764] * vX_[65];
+ vX_[2107] = vX_[2914] * vX_[65] + vX_[2764] * vX_[9];
+ vX_[2143] = 0 - vX_[2143];
+ vX_[2201] = (vX_[2143] * vX_[97] + vX_[2287] * vX_[27] + vX_[2165] * vX_[17] + vX_[2201] * vX_[110] + vX_[1861] * vX_[119]) * 1 / vX_[0];
+ vX_[2143] = vX_[2130] * vX_[831] + vX_[2143] * vX_[98] + vX_[2201];
+ vX_[1861] = vX_[1952] * vX_[65] + vX_[2143] * vX_[4];
+ vX_[2287] = vX_[1952] * vX_[9] + vX_[2143] * vX_[65];
+ vX_[2575] = vX_[2290] - vX_[2575];
+ vX_[2201] = 0 - vX_[2130] * vX_[849] - vX_[2114] * vX_[817] - vX_[2981] * vX_[881] - vX_[2068] * vX_[1013] + vX_[2068] * vX_[831] - vX_[2757] * vX_[862] - vX_[1452] * vX_[855] - vX_[2201] * vX_[98] - vX_[1996] * vX_[86] - vX_[2909] * vX_[113] - vX_[2168] * vX_[474] - vX_[2137] * vX_[483];
+ vX_[2168] = 0 - vX_[969] + vX_[2201];
+ vX_[2137] = vX_[2168] * vX_[4] + vX_[2200] * vX_[65];
+ vX_[1996] = vX_[2168] * vX_[65] + vX_[2200] * vX_[9];
+ vX_[2909] = vX_[2137] * vX_[65] + vX_[1996] * vX_[4];
+ vX_[1452] = vX_[969] + vX_[2137] * vX_[4];
+ vX_[2757] = vX_[969] + vX_[1996] * vX_[65];
+ vX_[2201] = vX_[2967] + vX_[969] + vX_[2201] - vX_[1452] - vX_[2757];
+ vX_[2967] = 0 - vX_[2201];
+ vX_[969] = vX_[2739] * vX_[4] + vX_[2290] * vX_[65];
+ vX_[2068] = vX_[969] + vX_[2967] * vX_[8];
+ vX_[2981] = 0 - vX_[2068];
+ vX_[969] = 0 - (vX_[2575] * vX_[65] + vX_[1531] * vX_[9]) + vX_[969];
+ vX_[2114] = vX_[2739] * vX_[65] + vX_[2290] * vX_[9];
+ vX_[2130] = vX_[2114] + vX_[2201] * vX_[71];
+ vX_[2165] = 0 - vX_[2130];
+ vX_[1949] = 0 - (vX_[1126] * vX_[65] + vX_[2116] * vX_[9]) + vX_[1126] * vX_[65] * 2.;
+ vX_[2255] = 0 - vX_[1949];
+ vX_[2248] = vX_[1126] * vX_[4] + vX_[2116] * vX_[65] + vX_[1126] * vX_[9] * 2.;
+ vX_[3406] = 0 - vX_[2248];
+ vX_[466] = 0 - vX_[2757];
+ vX_[2114] = vX_[2575] * vX_[4] + vX_[1531] * vX_[65] + vX_[2114];
+ vX_[2257] = 0 - vX_[2909];
+ vX_[2258] = 0 - vX_[2757];
+ jac[603] = 0 - (vX_[2161] * vX_[842] + vX_[3458] * vX_[872] + vX_[2764] * vX_[93] + vX_[1952] * vX_[33] + vX_[2290] * vX_[106] + vX_[432] * vX_[118] + vX_[2279] * vX_[24] + vX_[3353] * vX_[13] + vX_[1531] * vX_[51] + vX_[2200] * vX_[23] + vX_[1126] * vX_[526] + vX_[2116] * vX_[109] + vX_[3476] * vX_[823] + vX_[1923] * vX_[816] - (vX_[2280] * vX_[828] + vX_[1878] * vX_[809]) + (vX_[1953] * vX_[828] + vX_[1878] * vX_[808]) * 0.08 - (vX_[2274] * vX_[863] + vX_[2914] * vX_[95] + vX_[2260] * vX_[94] + vX_[2107] * vX_[73] + vX_[2739] * vX_[85] + vX_[2018] * vX_[117] + vX_[2143] * vX_[18] + vX_[1861] * vX_[21] + vX_[2287] * vX_[34] + vX_[2575] * vX_[68] + vX_[2168] * vX_[3] + vX_[1126] * vX_[107] + vX_[2137] * vX_[42] + vX_[1996] * vX_[28] + (vX_[2909] * vX_[55] + vX_[2967] * vX_[70] + vX_[1452] * vX_[84] + vX_[2981] * vX_[80] + (vX_[969] + vX_[1452] * vX_[8]) * 4.027 + vX_[2165] * vX_[73] + vX_[2255] * vX_[21] + vX_[3406] * vX_[24] + vX_[2909] * vX_[43] + vX_[1452] * vX_[22]) * 0.08 + vX_[1999] * vX_[810])) * vX_[3682] + (0 - (vX_[2161] * vX_[828] + vX_[1878] * vX_[823]) - (vX_[2280] * vX_[842] + vX_[3476] * vX_[809]) + (vX_[1953] * vX_[842] + vX_[2201] * vX_[72] + vX_[466] * vX_[55] + vX_[2068] * vX_[73] + vX_[2130] * vX_[75] + (0 - (vX_[2114] + vX_[2909] * vX_[8] + vX_[466] * vX_[71])) * 4.027 + vX_[1949] * vX_[34] + vX_[2248] * vX_[13] + vX_[2257] * vX_[30] + vX_[2258] * vX_[39] + vX_[3476] * vX_[808]) * 0.08 - (vX_[2274] * vX_[872] + vX_[3458] * vX_[863] + vX_[2914] * vX_[93] + vX_[2764] * vX_[95] + vX_[2260] * vX_[73] + vX_[2107] * vX_[92] + vX_[2739] * vX_[106] + vX_[1952] * vX_[18] + vX_[2018] * vX_[118] + vX_[2290] * vX_[85] + vX_[2143] * vX_[33] + vX_[432] * vX_[117] + vX_[1861] * vX_[24] + vX_[2287] * vX_[13] + vX_[2279] * vX_[21] + vX_[3353] * vX_[34] + vX_[2575] * vX_[51] + vX_[1531] * vX_[68] + vX_[2168] * vX_[23] + vX_[2200] * vX_[3] + vX_[1126] * vX_[108] + vX_[1126] * vX_[109] + vX_[2116] * vX_[107] + vX_[2137] * vX_[28] + vX_[1996] * vX_[38] + vX_[1999] * vX_[816] + vX_[1923] * vX_[810])) * vX_[3271];
+ vX_[248] = vX_[2410] * vX_[88] + vX_[2292] * vX_[50] + vX_[2308] * vX_[103] + vX_[576] * vX_[89] + vX_[248] * vX_[5] + vX_[2432] * vX_[878];
+ vX_[576] = 0 - vX_[248];
+ vX_[1955] = 0 - (vX_[2267] * vX_[101] + vX_[422] * vX_[88] + vX_[2278] * vX_[50] + vX_[2276] * vX_[5] + vX_[1955] * vX_[89] + vX_[1318] * vX_[103] + vX_[2118] * vX_[878] + vX_[2266] * vX_[877]);
+ vX_[2495] = vX_[2325] + vX_[2495] * vX_[101] + vX_[2278] * vX_[88];
+ vX_[2435] = vX_[2495] + vX_[2435] * vX_[5] + vX_[1464] * vX_[103] + vX_[2266] * vX_[878];
+ vX_[1464] = 0 - vX_[2435];
+ vX_[2442] = vX_[1339] + vX_[2442] * vX_[5] + vX_[684] * vX_[103] * 2. + vX_[2266] * vX_[874] + vX_[2193] * vX_[878];
+ vX_[684] = 0 - vX_[2442];
+ vX_[249] = vX_[247] + vX_[1699] * vX_[5] + vX_[249] * vX_[103] + vX_[2266] * vX_[875] + vX_[1072] * vX_[878];
+ vX_[247] = 0 - vX_[249];
+ vX_[1699] = (vX_[1464] * vX_[17] + vX_[684] * vX_[110] + vX_[247] * vX_[119]) * 1 / vX_[0];
+ vX_[1464] = vX_[2154] * vX_[831] + vX_[576] * vX_[98] + vX_[1955] * vX_[86] + vX_[1464] * vX_[113] + vX_[1699];
+ vX_[240] = vX_[514] + vX_[2289] * vX_[89] + vX_[240] * vX_[5] * 2. + vX_[2432] * vX_[875];
+ vX_[514] = vX_[240] * vX_[4] + vX_[249] * vX_[65];
+ vX_[1339] = vX_[240] * vX_[65] + vX_[249] * vX_[9];
+ vX_[536] = vX_[1911] + vX_[536] * vX_[5] + vX_[3151] * vX_[89] * 2. + vX_[2432] * vX_[874];
+ vX_[2439] = 0 - (0 - (vX_[2410] * vX_[101] + vX_[2409] * vX_[88]) + vX_[1048] * vX_[103] + vX_[1856] * vX_[5] + vX_[2439] * vX_[89] + vX_[2432] * vX_[877]);
+ vX_[2267] = vX_[2325] + vX_[2267] * vX_[88] + vX_[2322] * vX_[50];
+ vX_[1662] = 0 - (vX_[2267] + vX_[1662] * vX_[89] + vX_[567] * vX_[103] + vX_[2118] * vX_[877]);
+ vX_[255] = 0 - (vX_[255] + vX_[2294] * vX_[89] + vX_[2289] * vX_[103] + vX_[2118] * vX_[874] + vX_[2193] * vX_[877]);
+ vX_[289] = vX_[1913] + vX_[289] * vX_[89] + vX_[2298] * vX_[103] * 2. + vX_[2118] * vX_[875] + vX_[1072] * vX_[877];
+ vX_[1913] = 0 - vX_[289];
+ vX_[1955] = (vX_[1662] * vX_[27] + vX_[1955] * vX_[17] + vX_[255] * vX_[110] + vX_[1913] * vX_[119]) * 1 / vX_[0];
+ vX_[1662] = 0 - vX_[536] + vX_[2252] * vX_[831] + vX_[2439] * vX_[98] + vX_[1662] * vX_[86] + vX_[1955];
+ vX_[2118] = 0 - vX_[240];
+ vX_[2289] = vX_[2289] + vX_[2193] * vX_[875] + vX_[1072] * vX_[874];
+ vX_[2294] = 0 - vX_[2289];
+ vX_[2298] = vX_[2298] + vX_[1072] * vX_[875];
+ vX_[567] = 0 - vX_[2298];
+ vX_[2322] = vX_[567] * vX_[119] * 1 / vX_[0];
+ vX_[567] = vX_[586] * vX_[831] + vX_[2118] * vX_[98] + vX_[1913] * vX_[86] + vX_[247] * vX_[113] + vX_[2294] * vX_[474] + vX_[567] * vX_[483] + vX_[2322];
+ vX_[1913] = 0 - vX_[536];
+ vX_[3151] = vX_[3151] + vX_[2193] * vX_[874];
+ vX_[247] = 0 - vX_[3151];
+ vX_[2294] = (vX_[247] * vX_[110] + vX_[2294] * vX_[119]) * 1 / vX_[0];
+ vX_[247] = vX_[743] * vX_[831] + vX_[1913] * vX_[98] + vX_[255] * vX_[86] + vX_[684] * vX_[113] + vX_[247] * vX_[474] + vX_[2294];
+ vX_[2267] = vX_[2400] + vX_[2407] + vX_[2325] - vX_[2267] - vX_[2495] + vX_[3133] * vX_[89] + vX_[2412] * vX_[5];
+ vX_[2495] = vX_[2267] - vX_[2435];
+ vX_[2412] = vX_[2495] * vX_[4] + vX_[248] * vX_[65];
+ vX_[3133] = vX_[2495] * vX_[65] + vX_[248] * vX_[9];
+ vX_[2267] = 0 - vX_[2267];
+ vX_[1913] = (vX_[2267] * vX_[97] + vX_[2439] * vX_[27] + vX_[576] * vX_[17] + vX_[1913] * vX_[110] + vX_[2118] * vX_[119]) * 1 / vX_[0];
+ vX_[2267] = vX_[2268] * vX_[831] + vX_[2267] * vX_[98] + vX_[1913];
+ vX_[2118] = vX_[1464] * vX_[65] + vX_[2267] * vX_[4];
+ vX_[2439] = vX_[1464] * vX_[9] + vX_[2267] * vX_[65];
+ vX_[289] = vX_[2442] - vX_[289];
+ vX_[1913] = 0 - vX_[2268] * vX_[849] - vX_[2252] * vX_[817] - vX_[2154] * vX_[881] - vX_[2139] * vX_[1013] + vX_[2139] * vX_[831] - vX_[743] * vX_[862] - vX_[586] * vX_[855] - vX_[1913] * vX_[98] - vX_[1955] * vX_[86] - vX_[1699] * vX_[113] - vX_[2294] * vX_[474] - vX_[2322] * vX_[483];
+ vX_[2294] = 0 - vX_[2298] + vX_[1913];
+ vX_[2322] = vX_[2294] * vX_[4] + vX_[567] * vX_[65];
+ vX_[1955] = vX_[2294] * vX_[65] + vX_[567] * vX_[9];
+ vX_[1699] = vX_[2322] * vX_[65] + vX_[1955] * vX_[4];
+ vX_[586] = vX_[2298] + vX_[2322] * vX_[4];
+ vX_[743] = vX_[2298] + vX_[1955] * vX_[65];
+ vX_[1913] = vX_[3151] + vX_[2298] + vX_[1913] - vX_[586] - vX_[743];
+ vX_[3151] = 0 - vX_[1913];
+ vX_[2298] = vX_[536] * vX_[4] + vX_[2442] * vX_[65];
+ vX_[2139] = vX_[2298] + vX_[3151] * vX_[8];
+ vX_[2154] = 0 - vX_[2139];
+ vX_[2298] = 0 - (vX_[289] * vX_[65] + vX_[1662] * vX_[9]) + vX_[2298];
+ vX_[2252] = vX_[536] * vX_[65] + vX_[2442] * vX_[9];
+ vX_[2268] = vX_[2252] + vX_[1913] * vX_[71];
+ vX_[576] = 0 - vX_[2268];
+ vX_[2325] = 0 - (vX_[2289] * vX_[65] + vX_[247] * vX_[9]) + vX_[2289] * vX_[65] * 2.;
+ vX_[2407] = 0 - vX_[2325];
+ vX_[2400] = vX_[2289] * vX_[4] + vX_[247] * vX_[65] + vX_[2289] * vX_[9] * 2.;
+ vX_[255] = 0 - vX_[2400];
+ vX_[684] = 0 - vX_[743];
+ vX_[2252] = vX_[289] * vX_[4] + vX_[1662] * vX_[65] + vX_[2252];
+ vX_[2409] = 0 - vX_[1699];
+ vX_[2410] = 0 - vX_[743];
+ jac[604] = 0 - (vX_[2266] * vX_[842] + vX_[1072] * vX_[872] + vX_[248] * vX_[93] + vX_[1464] * vX_[33] + vX_[2442] * vX_[106] + vX_[249] * vX_[118] + vX_[514] * vX_[24] + vX_[1339] * vX_[13] + vX_[1662] * vX_[51] + vX_[567] * vX_[23] + vX_[2289] * vX_[526] + vX_[247] * vX_[109] + vX_[3518] * vX_[823] + vX_[2071] * vX_[816] - (vX_[2432] * vX_[828] + vX_[2006] * vX_[809]) + (vX_[2193] * vX_[828] + vX_[2006] * vX_[808]) * 0.08 - (vX_[2335] * vX_[863] + vX_[2495] * vX_[95] + vX_[2412] * vX_[94] + vX_[3133] * vX_[73] + vX_[536] * vX_[85] + vX_[240] * vX_[117] + vX_[2267] * vX_[18] + vX_[2118] * vX_[21] + vX_[2439] * vX_[34] + vX_[289] * vX_[68] + vX_[2294] * vX_[3] + vX_[2289] * vX_[107] + vX_[2322] * vX_[42] + vX_[1955] * vX_[28] + (vX_[1699] * vX_[55] + vX_[3151] * vX_[70] + vX_[586] * vX_[84] + vX_[2154] * vX_[80] + (vX_[2298] + vX_[586] * vX_[8]) * 4.027 + vX_[576] * vX_[73] + vX_[2407] * vX_[21] + vX_[255] * vX_[24] + vX_[1699] * vX_[43] + vX_[586] * vX_[22]) * 0.08 + vX_[2147] * vX_[810])) * vX_[3682] + (0 - (vX_[2266] * vX_[828] + vX_[2006] * vX_[823]) - (vX_[2432] * vX_[842] + vX_[3518] * vX_[809]) + (vX_[2193] * vX_[842] + vX_[1913] * vX_[72] + vX_[684] * vX_[55] + vX_[2139] * vX_[73] + vX_[2268] * vX_[75] + (0 - (vX_[2252] + vX_[1699] * vX_[8] + vX_[684] * vX_[71])) * 4.027 + vX_[2325] * vX_[34] + vX_[2400] * vX_[13] + vX_[2409] * vX_[30] + vX_[2410] * vX_[39] + vX_[3518] * vX_[808]) * 0.08 - (vX_[2335] * vX_[872] + vX_[1072] * vX_[863] + vX_[2495] * vX_[93] + vX_[248] * vX_[95] + vX_[2412] * vX_[73] + vX_[3133] * vX_[92] + vX_[536] * vX_[106] + vX_[1464] * vX_[18] + vX_[240] * vX_[118] + vX_[2442] * vX_[85] + vX_[2267] * vX_[33] + vX_[249] * vX_[117] + vX_[2118] * vX_[24] + vX_[2439] * vX_[13] + vX_[514] * vX_[21] + vX_[1339] * vX_[34] + vX_[289] * vX_[51] + vX_[1662] * vX_[68] + vX_[2294] * vX_[23] + vX_[567] * vX_[3] + vX_[2289] * vX_[108] + vX_[2289] * vX_[109] + vX_[247] * vX_[107] + vX_[2322] * vX_[28] + vX_[1955] * vX_[38] + vX_[2147] * vX_[816] + vX_[2071] * vX_[810])) * vX_[3271];
+ vX_[1062] = vX_[2562] * vX_[88] + vX_[2444] * vX_[50] + vX_[630] * vX_[103] + vX_[298] * vX_[89] + vX_[1062] * vX_[5] + vX_[2584] * vX_[878];
+ vX_[298] = 0 - vX_[1062];
+ vX_[2282] = 0 - (vX_[2419] * vX_[101] + vX_[1025] * vX_[88] + vX_[2430] * vX_[50] + vX_[2428] * vX_[5] + vX_[2282] * vX_[89] + vX_[3523] * vX_[103] + vX_[2331] * vX_[878] + vX_[2418] * vX_[877]);
+ vX_[3733] = vX_[2477] + vX_[3733] * vX_[101] + vX_[2430] * vX_[88];
+ vX_[246] = vX_[3733] + vX_[246] * vX_[5] + vX_[3428] * vX_[103] + vX_[2418] * vX_[878];
+ vX_[3428] = 0 - vX_[246];
+ vX_[2594] = vX_[279] + vX_[2594] * vX_[5] + vX_[3469] * vX_[103] * 2. + vX_[2418] * vX_[874] + vX_[2317] * vX_[878];
+ vX_[3469] = 0 - vX_[2594];
+ vX_[1003] = vX_[3636] + vX_[241] * vX_[5] + vX_[1003] * vX_[103] + vX_[2418] * vX_[875] + vX_[2406] * vX_[878];
+ vX_[3636] = 0 - vX_[1003];
+ vX_[241] = (vX_[3428] * vX_[17] + vX_[3469] * vX_[110] + vX_[3636] * vX_[119]) * 1 / vX_[0];
+ vX_[3428] = vX_[1015] * vX_[831] + vX_[298] * vX_[98] + vX_[2282] * vX_[86] + vX_[3428] * vX_[113] + vX_[241];
+ vX_[256] = vX_[3602] + vX_[1375] * vX_[89] + vX_[256] * vX_[5] * 2. + vX_[2584] * vX_[875];
+ vX_[3602] = vX_[256] * vX_[4] + vX_[1003] * vX_[65];
+ vX_[279] = vX_[256] * vX_[65] + vX_[1003] * vX_[9];
+ vX_[994] = vX_[3609] + vX_[994] * vX_[5] + vX_[509] * vX_[89] * 2. + vX_[2584] * vX_[874];
+ vX_[2591] = 0 - (0 - (vX_[2562] * vX_[101] + vX_[2561] * vX_[88]) + vX_[981] * vX_[103] + vX_[254] * vX_[5] + vX_[2591] * vX_[89] + vX_[2584] * vX_[877]);
+ vX_[2419] = vX_[2477] + vX_[2419] * vX_[88] + vX_[2474] * vX_[50];
+ vX_[1816] = 0 - (vX_[2419] + vX_[1816] * vX_[89] + vX_[3423] * vX_[103] + vX_[2331] * vX_[877]);
+ vX_[306] = 0 - (vX_[306] + vX_[2458] * vX_[89] + vX_[1375] * vX_[103] + vX_[2331] * vX_[874] + vX_[2317] * vX_[877]);
+ vX_[3497] = vX_[3474] + vX_[3497] * vX_[89] + vX_[1001] * vX_[103] * 2. + vX_[2331] * vX_[875] + vX_[2406] * vX_[877];
+ vX_[3474] = 0 - vX_[3497];
+ vX_[2282] = (vX_[1816] * vX_[27] + vX_[2282] * vX_[17] + vX_[306] * vX_[110] + vX_[3474] * vX_[119]) * 1 / vX_[0];
+ vX_[1816] = 0 - vX_[994] + vX_[2404] * vX_[831] + vX_[2591] * vX_[98] + vX_[1816] * vX_[86] + vX_[2282];
+ vX_[2331] = 0 - vX_[256];
+ vX_[1375] = vX_[1375] + vX_[2317] * vX_[875] + vX_[2406] * vX_[874];
+ vX_[2458] = 0 - vX_[1375];
+ vX_[1001] = vX_[1001] + vX_[2406] * vX_[875];
+ vX_[3423] = 0 - vX_[1001];
+ vX_[2474] = vX_[3423] * vX_[119] * 1 / vX_[0];
+ vX_[3423] = vX_[1166] * vX_[831] + vX_[2331] * vX_[98] + vX_[3474] * vX_[86] + vX_[3636] * vX_[113] + vX_[2458] * vX_[474] + vX_[3423] * vX_[483] + vX_[2474];
+ vX_[3474] = 0 - vX_[994];
+ vX_[509] = vX_[509] + vX_[2317] * vX_[874];
+ vX_[3636] = 0 - vX_[509];
+ vX_[2458] = (vX_[3636] * vX_[110] + vX_[2458] * vX_[119]) * 1 / vX_[0];
+ vX_[3636] = vX_[1942] * vX_[831] + vX_[3474] * vX_[98] + vX_[306] * vX_[86] + vX_[3469] * vX_[113] + vX_[3636] * vX_[474] + vX_[2458];
+ vX_[2419] = vX_[2552] + vX_[2559] + vX_[2477] - vX_[2419] - vX_[3733] + vX_[283] * vX_[89] + vX_[2564] * vX_[5];
+ vX_[3733] = vX_[2419] - vX_[246];
+ vX_[2564] = vX_[3733] * vX_[4] + vX_[1062] * vX_[65];
+ vX_[283] = vX_[3733] * vX_[65] + vX_[1062] * vX_[9];
+ vX_[2419] = 0 - vX_[2419];
+ vX_[3474] = (vX_[2419] * vX_[97] + vX_[2591] * vX_[27] + vX_[298] * vX_[17] + vX_[3474] * vX_[110] + vX_[2331] * vX_[119]) * 1 / vX_[0];
+ vX_[2419] = vX_[2420] * vX_[831] + vX_[2419] * vX_[98] + vX_[3474];
+ vX_[2331] = vX_[3428] * vX_[65] + vX_[2419] * vX_[4];
+ vX_[2591] = vX_[3428] * vX_[9] + vX_[2419] * vX_[65];
+ vX_[3497] = vX_[2594] - vX_[3497];
+ vX_[3474] = 0 - vX_[2420] * vX_[849] - vX_[2404] * vX_[817] - vX_[1015] * vX_[881] - vX_[2353] * vX_[1013] + vX_[2353] * vX_[831] - vX_[1942] * vX_[862] - vX_[1166] * vX_[855] - vX_[3474] * vX_[98] - vX_[2282] * vX_[86] - vX_[241] * vX_[113] - vX_[2458] * vX_[474] - vX_[2474] * vX_[483];
+ vX_[2458] = 0 - vX_[1001] + vX_[3474];
+ vX_[2474] = vX_[2458] * vX_[4] + vX_[3423] * vX_[65];
+ vX_[2282] = vX_[2458] * vX_[65] + vX_[3423] * vX_[9];
+ vX_[241] = vX_[2474] * vX_[65] + vX_[2282] * vX_[4];
+ vX_[1166] = vX_[1001] + vX_[2474] * vX_[4];
+ vX_[1942] = vX_[1001] + vX_[2282] * vX_[65];
+ vX_[3474] = vX_[509] + vX_[1001] + vX_[3474] - vX_[1166] - vX_[1942];
+ vX_[509] = 0 - vX_[3474];
+ vX_[1001] = vX_[994] * vX_[4] + vX_[2594] * vX_[65];
+ vX_[2353] = vX_[1001] + vX_[509] * vX_[8];
+ vX_[1015] = 0 - vX_[2353];
+ vX_[1001] = 0 - (vX_[3497] * vX_[65] + vX_[1816] * vX_[9]) + vX_[1001];
+ vX_[2404] = vX_[994] * vX_[65] + vX_[2594] * vX_[9];
+ vX_[2420] = vX_[2404] + vX_[3474] * vX_[71];
+ vX_[298] = 0 - vX_[2420];
+ vX_[2477] = 0 - (vX_[1375] * vX_[65] + vX_[3636] * vX_[9]) + vX_[1375] * vX_[65] * 2.;
+ vX_[2559] = 0 - vX_[2477];
+ vX_[2552] = vX_[1375] * vX_[4] + vX_[3636] * vX_[65] + vX_[1375] * vX_[9] * 2.;
+ vX_[306] = 0 - vX_[2552];
+ vX_[3469] = 0 - vX_[1942];
+ vX_[2404] = vX_[3497] * vX_[4] + vX_[1816] * vX_[65] + vX_[2404];
+ vX_[2561] = 0 - vX_[241];
+ vX_[2562] = 0 - vX_[1942];
+ jac[605] = 0 - (vX_[2418] * vX_[842] + vX_[2406] * vX_[872] + vX_[1062] * vX_[93] + vX_[3428] * vX_[33] + vX_[2594] * vX_[106] + vX_[1003] * vX_[118] + vX_[3602] * vX_[24] + vX_[279] * vX_[13] + vX_[1816] * vX_[51] + vX_[3423] * vX_[23] + vX_[1375] * vX_[526] + vX_[3636] * vX_[109] + vX_[1009] * vX_[823] + vX_[1995] * vX_[816] - (vX_[2584] * vX_[828] + vX_[2138] * vX_[809]) + (vX_[2317] * vX_[828] + vX_[2138] * vX_[808]) * 0.08 - (vX_[1022] * vX_[863] + vX_[3733] * vX_[95] + vX_[2564] * vX_[94] + vX_[283] * vX_[73] + vX_[994] * vX_[85] + vX_[256] * vX_[117] + vX_[2419] * vX_[18] + vX_[2331] * vX_[21] + vX_[2591] * vX_[34] + vX_[3497] * vX_[68] + vX_[2458] * vX_[3] + vX_[1375] * vX_[107] + vX_[2474] * vX_[42] + vX_[2282] * vX_[28] + (vX_[241] * vX_[55] + vX_[509] * vX_[70] + vX_[1166] * vX_[84] + vX_[1015] * vX_[80] + (vX_[1001] + vX_[1166] * vX_[8]) * 4.027 + vX_[298] * vX_[73] + vX_[2559] * vX_[21] + vX_[306] * vX_[24] + vX_[241] * vX_[43] + vX_[1166] * vX_[22]) * 0.08 + vX_[2285] * vX_[810])) * vX_[3682] + (0 - (vX_[2418] * vX_[828] + vX_[2138] * vX_[823]) - (vX_[2584] * vX_[842] + vX_[1009] * vX_[809]) + (vX_[2317] * vX_[842] + vX_[3474] * vX_[72] + vX_[3469] * vX_[55] + vX_[2353] * vX_[73] + vX_[2420] * vX_[75] + (0 - (vX_[2404] + vX_[241] * vX_[8] + vX_[3469] * vX_[71])) * 4.027 + vX_[2477] * vX_[34] + vX_[2552] * vX_[13] + vX_[2561] * vX_[30] + vX_[2562] * vX_[39] + vX_[1009] * vX_[808]) * 0.08 - (vX_[1022] * vX_[872] + vX_[2406] * vX_[863] + vX_[3733] * vX_[93] + vX_[1062] * vX_[95] + vX_[2564] * vX_[73] + vX_[283] * vX_[92] + vX_[994] * vX_[106] + vX_[3428] * vX_[18] + vX_[256] * vX_[118] + vX_[2594] * vX_[85] + vX_[2419] * vX_[33] + vX_[1003] * vX_[117] + vX_[2331] * vX_[24] + vX_[2591] * vX_[13] + vX_[3602] * vX_[21] + vX_[279] * vX_[34] + vX_[3497] * vX_[51] + vX_[1816] * vX_[68] + vX_[2458] * vX_[23] + vX_[3423] * vX_[3] + vX_[1375] * vX_[108] + vX_[1375] * vX_[109] + vX_[3636] * vX_[107] + vX_[2474] * vX_[28] + vX_[2282] * vX_[38] + vX_[2285] * vX_[816] + vX_[1995] * vX_[810])) * vX_[3271];
+ vX_[144] = vX_[2704] * vX_[88] + vX_[2569] * vX_[50] + vX_[924] * vX_[103] + vX_[227] * vX_[89] + vX_[144] * vX_[5] + vX_[2726] * vX_[878];
+ vX_[227] = 0 - vX_[144];
+ vX_[2434] = 0 - (vX_[2585] * vX_[101] + vX_[3773] * vX_[88] + vX_[2582] * vX_[50] + vX_[2602] * vX_[5] + vX_[2434] * vX_[89] + vX_[191] * vX_[103] + vX_[2483] * vX_[878] + vX_[2603] * vX_[877]);
+ vX_[142] = vX_[2501] + vX_[142] * vX_[101] + vX_[2582] * vX_[88];
+ vX_[921] = vX_[142] + vX_[921] * vX_[5] + vX_[219] * vX_[103] + vX_[2603] * vX_[878];
+ vX_[219] = 0 - vX_[921];
+ vX_[2736] = vX_[218] + vX_[2736] * vX_[5] + vX_[189] * vX_[103] * 2. + vX_[2603] * vX_[874] + vX_[2469] * vX_[878];
+ vX_[189] = 0 - vX_[2736];
+ vX_[190] = vX_[192] + vX_[161] * vX_[5] + vX_[190] * vX_[103] + vX_[2603] * vX_[875] + vX_[1631] * vX_[878];
+ vX_[192] = 0 - vX_[190];
+ vX_[161] = (vX_[219] * vX_[17] + vX_[189] * vX_[110] + vX_[192] * vX_[119]) * 1 / vX_[0];
+ vX_[219] = vX_[302] * vX_[831] + vX_[227] * vX_[98] + vX_[2434] * vX_[86] + vX_[219] * vX_[113] + vX_[161];
+ vX_[172] = vX_[896] + vX_[3638] * vX_[89] + vX_[172] * vX_[5] * 2. + vX_[2726] * vX_[875];
+ vX_[896] = vX_[172] * vX_[4] + vX_[190] * vX_[65];
+ vX_[218] = vX_[172] * vX_[65] + vX_[190] * vX_[9];
+ vX_[173] = vX_[3681] + vX_[173] * vX_[5] + vX_[3580] * vX_[89] * 2. + vX_[2726] * vX_[874];
+ vX_[2733] = 0 - (0 - (vX_[2704] * vX_[101] + vX_[2703] * vX_[88]) + vX_[540] * vX_[103] + vX_[174] * vX_[5] + vX_[2733] * vX_[89] + vX_[2726] * vX_[877]);
+ vX_[2585] = vX_[2501] + vX_[2585] * vX_[88] + vX_[2579] * vX_[50];
+ vX_[1967] = 0 - (vX_[2585] + vX_[1967] * vX_[89] + vX_[203] * vX_[103] + vX_[2483] * vX_[877]);
+ vX_[202] = 0 - (vX_[202] + vX_[2610] * vX_[89] + vX_[3638] * vX_[103] + vX_[2483] * vX_[874] + vX_[2469] * vX_[877]);
+ vX_[201] = vX_[216] + vX_[201] * vX_[89] + vX_[3680] * vX_[103] * 2. + vX_[2483] * vX_[875] + vX_[1631] * vX_[877];
+ vX_[216] = 0 - vX_[201];
+ vX_[2434] = (vX_[1967] * vX_[27] + vX_[2434] * vX_[17] + vX_[202] * vX_[110] + vX_[216] * vX_[119]) * 1 / vX_[0];
+ vX_[1967] = 0 - vX_[173] + vX_[2556] * vX_[831] + vX_[2733] * vX_[98] + vX_[1967] * vX_[86] + vX_[2434];
+ vX_[2483] = 0 - vX_[172];
+ vX_[3638] = vX_[3638] + vX_[2469] * vX_[875] + vX_[1631] * vX_[874];
+ vX_[2610] = 0 - vX_[3638];
+ vX_[3680] = vX_[3680] + vX_[1631] * vX_[875];
+ vX_[203] = 0 - vX_[3680];
+ vX_[2579] = vX_[203] * vX_[119] * 1 / vX_[0];
+ vX_[203] = vX_[1827] * vX_[831] + vX_[2483] * vX_[98] + vX_[216] * vX_[86] + vX_[192] * vX_[113] + vX_[2610] * vX_[474] + vX_[203] * vX_[483] + vX_[2579];
+ vX_[216] = 0 - vX_[173];
+ vX_[3580] = vX_[3580] + vX_[2469] * vX_[874];
+ vX_[192] = 0 - vX_[3580];
+ vX_[2610] = (vX_[192] * vX_[110] + vX_[2610] * vX_[119]) * 1 / vX_[0];
+ vX_[192] = vX_[570] * vX_[831] + vX_[216] * vX_[98] + vX_[202] * vX_[86] + vX_[189] * vX_[113] + vX_[192] * vX_[474] + vX_[2610];
+ vX_[2585] = vX_[2694] + vX_[2701] + vX_[2501] - vX_[2585] - vX_[142] + vX_[926] * vX_[89] + vX_[2706] * vX_[5];
+ vX_[142] = vX_[2585] - vX_[921];
+ vX_[2706] = vX_[142] * vX_[4] + vX_[144] * vX_[65];
+ vX_[926] = vX_[142] * vX_[65] + vX_[144] * vX_[9];
+ vX_[2585] = 0 - vX_[2585];
+ vX_[216] = (vX_[2585] * vX_[97] + vX_[2733] * vX_[27] + vX_[227] * vX_[17] + vX_[216] * vX_[110] + vX_[2483] * vX_[119]) * 1 / vX_[0];
+ vX_[2585] = vX_[2572] * vX_[831] + vX_[2585] * vX_[98] + vX_[216];
+ vX_[2483] = vX_[219] * vX_[65] + vX_[2585] * vX_[4];
+ vX_[2733] = vX_[219] * vX_[9] + vX_[2585] * vX_[65];
+ vX_[201] = vX_[2736] - vX_[201];
+ vX_[216] = 0 - vX_[2572] * vX_[849] - vX_[2556] * vX_[817] - vX_[302] * vX_[881] - vX_[2505] * vX_[1013] + vX_[2505] * vX_[831] - vX_[570] * vX_[862] - vX_[1827] * vX_[855] - vX_[216] * vX_[98] - vX_[2434] * vX_[86] - vX_[161] * vX_[113] - vX_[2610] * vX_[474] - vX_[2579] * vX_[483];
+ vX_[2610] = 0 - vX_[3680] + vX_[216];
+ vX_[2579] = vX_[2610] * vX_[4] + vX_[203] * vX_[65];
+ vX_[2434] = vX_[2610] * vX_[65] + vX_[203] * vX_[9];
+ vX_[161] = vX_[2579] * vX_[65] + vX_[2434] * vX_[4];
+ vX_[1827] = vX_[3680] + vX_[2579] * vX_[4];
+ vX_[570] = vX_[3680] + vX_[2434] * vX_[65];
+ vX_[216] = vX_[3580] + vX_[3680] + vX_[216] - vX_[1827] - vX_[570];
+ vX_[3580] = 0 - vX_[216];
+ vX_[3680] = vX_[173] * vX_[4] + vX_[2736] * vX_[65];
+ vX_[2505] = vX_[3680] + vX_[3580] * vX_[8];
+ vX_[302] = 0 - vX_[2505];
+ vX_[3680] = 0 - (vX_[201] * vX_[65] + vX_[1967] * vX_[9]) + vX_[3680];
+ vX_[2556] = vX_[173] * vX_[65] + vX_[2736] * vX_[9];
+ vX_[2572] = vX_[2556] + vX_[216] * vX_[71];
+ vX_[227] = 0 - vX_[2572];
+ vX_[2501] = 0 - (vX_[3638] * vX_[65] + vX_[192] * vX_[9]) + vX_[3638] * vX_[65] * 2.;
+ vX_[2701] = 0 - vX_[2501];
+ vX_[2694] = vX_[3638] * vX_[4] + vX_[192] * vX_[65] + vX_[3638] * vX_[9] * 2.;
+ vX_[202] = 0 - vX_[2694];
+ vX_[189] = 0 - vX_[570];
+ vX_[2556] = vX_[201] * vX_[4] + vX_[1967] * vX_[65] + vX_[2556];
+ vX_[2703] = 0 - vX_[161];
+ vX_[2704] = 0 - vX_[570];
+ jac[606] = 0 - (vX_[2603] * vX_[842] + vX_[1631] * vX_[872] + vX_[144] * vX_[93] + vX_[219] * vX_[33] + vX_[2736] * vX_[106] + vX_[190] * vX_[118] + vX_[896] * vX_[24] + vX_[218] * vX_[13] + vX_[1967] * vX_[51] + vX_[203] * vX_[23] + vX_[3638] * vX_[526] + vX_[192] * vX_[109] + vX_[461] * vX_[823] + vX_[2235] * vX_[816] - (vX_[2726] * vX_[828] + vX_[2357] * vX_[809]) + (vX_[2469] * vX_[828] + vX_[2357] * vX_[808]) * 0.08 - (vX_[959] * vX_[863] + vX_[142] * vX_[95] + vX_[2706] * vX_[94] + vX_[926] * vX_[73] + vX_[173] * vX_[85] + vX_[172] * vX_[117] + vX_[2585] * vX_[18] + vX_[2483] * vX_[21] + vX_[2733] * vX_[34] + vX_[201] * vX_[68] + vX_[2610] * vX_[3] + vX_[3638] * vX_[107] + vX_[2579] * vX_[42] + vX_[2434] * vX_[28] + (vX_[161] * vX_[55] + vX_[3580] * vX_[70] + vX_[1827] * vX_[84] + vX_[302] * vX_[80] + (vX_[3680] + vX_[1827] * vX_[8]) * 4.027 + vX_[227] * vX_[73] + vX_[2701] * vX_[21] + vX_[202] * vX_[24] + vX_[161] * vX_[43] + vX_[1827] * vX_[22]) * 0.08 + vX_[2437] * vX_[810])) * vX_[3682] + (0 - (vX_[2603] * vX_[828] + vX_[2357] * vX_[823]) - (vX_[2726] * vX_[842] + vX_[461] * vX_[809]) + (vX_[2469] * vX_[842] + vX_[216] * vX_[72] + vX_[189] * vX_[55] + vX_[2505] * vX_[73] + vX_[2572] * vX_[75] + (0 - (vX_[2556] + vX_[161] * vX_[8] + vX_[189] * vX_[71])) * 4.027 + vX_[2501] * vX_[34] + vX_[2694] * vX_[13] + vX_[2703] * vX_[30] + vX_[2704] * vX_[39] + vX_[461] * vX_[808]) * 0.08 - (vX_[959] * vX_[872] + vX_[1631] * vX_[863] + vX_[142] * vX_[93] + vX_[144] * vX_[95] + vX_[2706] * vX_[73] + vX_[926] * vX_[92] + vX_[173] * vX_[106] + vX_[219] * vX_[18] + vX_[172] * vX_[118] + vX_[2736] * vX_[85] + vX_[2585] * vX_[33] + vX_[190] * vX_[117] + vX_[2483] * vX_[24] + vX_[2733] * vX_[13] + vX_[896] * vX_[21] + vX_[218] * vX_[34] + vX_[201] * vX_[51] + vX_[1967] * vX_[68] + vX_[2610] * vX_[23] + vX_[203] * vX_[3] + vX_[3638] * vX_[108] + vX_[3638] * vX_[109] + vX_[192] * vX_[107] + vX_[2579] * vX_[28] + vX_[2434] * vX_[38] + vX_[2437] * vX_[816] + vX_[2235] * vX_[810])) * vX_[3271];
+ vX_[978] = vX_[2854] * vX_[88] + vX_[2675] * vX_[50] + vX_[932] * vX_[103] + vX_[3717] * vX_[89] + vX_[978] * vX_[5] + vX_[2876] * vX_[878];
+ vX_[3717] = 0 - vX_[978];
+ vX_[2475] = 0 - (vX_[2722] * vX_[101] + vX_[149] * vX_[88] + vX_[2724] * vX_[50] + vX_[2626] * vX_[5] + vX_[2475] * vX_[89] + vX_[3575] * vX_[103] + vX_[2560] * vX_[878] + vX_[2721] * vX_[877]);
+ vX_[3647] = vX_[2800] + vX_[3647] * vX_[101] + vX_[2724] * vX_[88];
+ vX_[213] = vX_[3647] + vX_[213] * vX_[5] + vX_[3772] * vX_[103] + vX_[2721] * vX_[878];
+ vX_[3772] = 0 - vX_[213];
+ vX_[2886] = vX_[3708] + vX_[2886] * vX_[5] + vX_[3527] * vX_[103] * 2. + vX_[2721] * vX_[874] + vX_[2658] * vX_[878];
+ vX_[3527] = 0 - vX_[2886];
+ vX_[3683] = vX_[1218] + vX_[3735] * vX_[5] + vX_[3683] * vX_[103] + vX_[2721] * vX_[875] + vX_[3707] * vX_[878];
+ vX_[1218] = 0 - vX_[3683];
+ vX_[3735] = (vX_[3772] * vX_[17] + vX_[3527] * vX_[110] + vX_[1218] * vX_[119]) * 1 / vX_[0];
+ vX_[3772] = vX_[815] * vX_[831] + vX_[3717] * vX_[98] + vX_[2475] * vX_[86] + vX_[3772] * vX_[113] + vX_[3735];
+ vX_[3678] = vX_[198] + vX_[939] * vX_[89] + vX_[3678] * vX_[5] * 2. + vX_[2876] * vX_[875];
+ vX_[198] = vX_[3678] * vX_[4] + vX_[3683] * vX_[65];
+ vX_[3708] = vX_[3678] * vX_[65] + vX_[3683] * vX_[9];
+ vX_[3673] = vX_[3721] + vX_[3673] * vX_[5] + vX_[194] * vX_[89] * 2. + vX_[2876] * vX_[874];
+ vX_[2883] = 0 - (0 - (vX_[2854] * vX_[101] + vX_[2853] * vX_[88]) + vX_[3730] * vX_[103] + vX_[984] * vX_[5] + vX_[2883] * vX_[89] + vX_[2876] * vX_[877]);
+ vX_[2722] = vX_[2800] + vX_[2722] * vX_[88] + vX_[2777] * vX_[50];
+ vX_[2115] = 0 - (vX_[2722] + vX_[2115] * vX_[89] + vX_[3724] * vX_[103] + vX_[2560] * vX_[877]);
+ vX_[3668] = 0 - (vX_[3668] + vX_[2781] * vX_[89] + vX_[939] * vX_[103] + vX_[2560] * vX_[874] + vX_[2658] * vX_[877]);
+ vX_[3524] = vX_[358] + vX_[3524] * vX_[89] + vX_[158] * vX_[103] * 2. + vX_[2560] * vX_[875] + vX_[3707] * vX_[877];
+ vX_[358] = 0 - vX_[3524];
+ vX_[2475] = (vX_[2115] * vX_[27] + vX_[2475] * vX_[17] + vX_[3668] * vX_[110] + vX_[358] * vX_[119]) * 1 / vX_[0];
+ vX_[2115] = 0 - vX_[3673] + vX_[2698] * vX_[831] + vX_[2883] * vX_[98] + vX_[2115] * vX_[86] + vX_[2475];
+ vX_[2560] = 0 - vX_[3678];
+ vX_[939] = vX_[939] + vX_[2658] * vX_[875] + vX_[3707] * vX_[874];
+ vX_[2781] = 0 - vX_[939];
+ vX_[158] = vX_[158] + vX_[3707] * vX_[875];
+ vX_[3724] = 0 - vX_[158];
+ vX_[2777] = vX_[3724] * vX_[119] * 1 / vX_[0];
+ vX_[3724] = vX_[3770] * vX_[831] + vX_[2560] * vX_[98] + vX_[358] * vX_[86] + vX_[1218] * vX_[113] + vX_[2781] * vX_[474] + vX_[3724] * vX_[483] + vX_[2777];
+ vX_[358] = 0 - vX_[3673];
+ vX_[194] = vX_[194] + vX_[2658] * vX_[874];
+ vX_[1218] = 0 - vX_[194];
+ vX_[2781] = (vX_[1218] * vX_[110] + vX_[2781] * vX_[119]) * 1 / vX_[0];
+ vX_[1218] = vX_[268] * vX_[831] + vX_[358] * vX_[98] + vX_[3668] * vX_[86] + vX_[3527] * vX_[113] + vX_[1218] * vX_[474] + vX_[2781];
+ vX_[2722] = vX_[2844] + vX_[2851] + vX_[2800] - vX_[2722] - vX_[3647] + vX_[972] * vX_[89] + vX_[2856] * vX_[5];
+ vX_[3647] = vX_[2722] - vX_[213];
+ vX_[2856] = vX_[3647] * vX_[4] + vX_[978] * vX_[65];
+ vX_[972] = vX_[3647] * vX_[65] + vX_[978] * vX_[9];
+ vX_[2722] = 0 - vX_[2722];
+ vX_[358] = (vX_[2722] * vX_[97] + vX_[2883] * vX_[27] + vX_[3717] * vX_[17] + vX_[358] * vX_[110] + vX_[2560] * vX_[119]) * 1 / vX_[0];
+ vX_[2722] = vX_[2714] * vX_[831] + vX_[2722] * vX_[98] + vX_[358];
+ vX_[2560] = vX_[3772] * vX_[65] + vX_[2722] * vX_[4];
+ vX_[2883] = vX_[3772] * vX_[9] + vX_[2722] * vX_[65];
+ vX_[3524] = vX_[2886] - vX_[3524];
+ vX_[358] = 0 - vX_[2714] * vX_[849] - vX_[2698] * vX_[817] - vX_[815] * vX_[881] - vX_[2581] * vX_[1013] + vX_[2581] * vX_[831] - vX_[268] * vX_[862] - vX_[3770] * vX_[855] - vX_[358] * vX_[98] - vX_[2475] * vX_[86] - vX_[3735] * vX_[113] - vX_[2781] * vX_[474] - vX_[2777] * vX_[483];
+ vX_[2781] = 0 - vX_[158] + vX_[358];
+ vX_[2777] = vX_[2781] * vX_[4] + vX_[3724] * vX_[65];
+ vX_[2475] = vX_[2781] * vX_[65] + vX_[3724] * vX_[9];
+ vX_[3735] = vX_[2777] * vX_[65] + vX_[2475] * vX_[4];
+ vX_[3770] = vX_[158] + vX_[2777] * vX_[4];
+ vX_[268] = vX_[158] + vX_[2475] * vX_[65];
+ vX_[358] = vX_[194] + vX_[158] + vX_[358] - vX_[3770] - vX_[268];
+ vX_[194] = 0 - vX_[358];
+ vX_[158] = vX_[3673] * vX_[4] + vX_[2886] * vX_[65];
+ vX_[2581] = vX_[158] + vX_[194] * vX_[8];
+ vX_[815] = 0 - vX_[2581];
+ vX_[158] = 0 - (vX_[3524] * vX_[65] + vX_[2115] * vX_[9]) + vX_[158];
+ vX_[2698] = vX_[3673] * vX_[65] + vX_[2886] * vX_[9];
+ vX_[2714] = vX_[2698] + vX_[358] * vX_[71];
+ vX_[3717] = 0 - vX_[2714];
+ vX_[2800] = 0 - (vX_[939] * vX_[65] + vX_[1218] * vX_[9]) + vX_[939] * vX_[65] * 2.;
+ vX_[2851] = 0 - vX_[2800];
+ vX_[2844] = vX_[939] * vX_[4] + vX_[1218] * vX_[65] + vX_[939] * vX_[9] * 2.;
+ vX_[3668] = 0 - vX_[2844];
+ vX_[3527] = 0 - vX_[268];
+ vX_[2698] = vX_[3524] * vX_[4] + vX_[2115] * vX_[65] + vX_[2698];
+ vX_[2853] = 0 - vX_[3735];
+ vX_[2854] = 0 - vX_[268];
+ jac[607] = 0 - (vX_[2721] * vX_[842] + vX_[3707] * vX_[872] + vX_[978] * vX_[93] + vX_[3772] * vX_[33] + vX_[2886] * vX_[106] + vX_[3683] * vX_[118] + vX_[198] * vX_[24] + vX_[3708] * vX_[13] + vX_[2115] * vX_[51] + vX_[3724] * vX_[23] + vX_[939] * vX_[526] + vX_[1218] * vX_[109] + vX_[1210] * vX_[823] + vX_[2387] * vX_[816] - (vX_[2876] * vX_[828] + vX_[2509] * vX_[809]) + (vX_[2658] * vX_[828] + vX_[2509] * vX_[808]) * 0.08 - (vX_[3763] * vX_[863] + vX_[3647] * vX_[95] + vX_[2856] * vX_[94] + vX_[972] * vX_[73] + vX_[3673] * vX_[85] + vX_[3678] * vX_[117] + vX_[2722] * vX_[18] + vX_[2560] * vX_[21] + vX_[2883] * vX_[34] + vX_[3524] * vX_[68] + vX_[2781] * vX_[3] + vX_[939] * vX_[107] + vX_[2777] * vX_[42] + vX_[2475] * vX_[28] + (vX_[3735] * vX_[55] + vX_[194] * vX_[70] + vX_[3770] * vX_[84] + vX_[815] * vX_[80] + (vX_[158] + vX_[3770] * vX_[8]) * 4.027 + vX_[3717] * vX_[73] + vX_[2851] * vX_[21] + vX_[3668] * vX_[24] + vX_[3735] * vX_[43] + vX_[3770] * vX_[22]) * 0.08 + vX_[2589] * vX_[810])) * vX_[3682] + (0 - (vX_[2721] * vX_[828] + vX_[2509] * vX_[823]) - (vX_[2876] * vX_[842] + vX_[1210] * vX_[809]) + (vX_[2658] * vX_[842] + vX_[358] * vX_[72] + vX_[3527] * vX_[55] + vX_[2581] * vX_[73] + vX_[2714] * vX_[75] + (0 - (vX_[2698] + vX_[3735] * vX_[8] + vX_[3527] * vX_[71])) * 4.027 + vX_[2800] * vX_[34] + vX_[2844] * vX_[13] + vX_[2853] * vX_[30] + vX_[2854] * vX_[39] + vX_[1210] * vX_[808]) * 0.08 - (vX_[3763] * vX_[872] + vX_[3707] * vX_[863] + vX_[3647] * vX_[93] + vX_[978] * vX_[95] + vX_[2856] * vX_[73] + vX_[972] * vX_[92] + vX_[3673] * vX_[106] + vX_[3772] * vX_[18] + vX_[3678] * vX_[118] + vX_[2886] * vX_[85] + vX_[2722] * vX_[33] + vX_[3683] * vX_[117] + vX_[2560] * vX_[24] + vX_[2883] * vX_[13] + vX_[198] * vX_[21] + vX_[3708] * vX_[34] + vX_[3524] * vX_[51] + vX_[2115] * vX_[68] + vX_[2781] * vX_[23] + vX_[3724] * vX_[3] + vX_[939] * vX_[108] + vX_[939] * vX_[109] + vX_[1218] * vX_[107] + vX_[2777] * vX_[28] + vX_[2475] * vX_[38] + vX_[2589] * vX_[816] + vX_[2387] * vX_[810])) * vX_[3271];
+ vX_[3551] = vX_[3004] * vX_[88] + vX_[2825] * vX_[50] + vX_[507] * vX_[103] + vX_[1060] * vX_[89] + vX_[3551] * vX_[5] + vX_[3026] * vX_[878];
+ vX_[1060] = 0 - vX_[3551];
+ vX_[2727] = 0 - (vX_[2872] * vX_[101] + vX_[344] * vX_[88] + vX_[2874] * vX_[50] + vX_[2685] * vX_[5] + vX_[2727] * vX_[89] + vX_[1453] * vX_[103] + vX_[2723] * vX_[878] + vX_[2871] * vX_[877]);
+ vX_[2670] = vX_[2950] + vX_[2670] * vX_[101] + vX_[2874] * vX_[88];
+ vX_[350] = vX_[2670] + vX_[350] * vX_[5] + vX_[3258] * vX_[103] + vX_[2871] * vX_[878];
+ vX_[3258] = 0 - vX_[350];
+ vX_[3036] = vX_[339] + vX_[3036] * vX_[5] + vX_[2829] * vX_[103] * 2. + vX_[2871] * vX_[874] + vX_[2683] * vX_[878];
+ vX_[2829] = 0 - vX_[3036];
+ vX_[764] = vX_[3512] + vX_[3386] * vX_[5] + vX_[764] * vX_[103] + vX_[2871] * vX_[875] + vX_[885] * vX_[878];
+ vX_[3512] = 0 - vX_[764];
+ vX_[3386] = (vX_[3258] * vX_[17] + vX_[2829] * vX_[110] + vX_[3512] * vX_[119]) * 1 / vX_[0];
+ vX_[3258] = vX_[3745] * vX_[831] + vX_[1060] * vX_[98] + vX_[2727] * vX_[86] + vX_[3258] * vX_[113] + vX_[3386];
+ vX_[3387] = vX_[327] + vX_[342] * vX_[89] + vX_[3387] * vX_[5] * 2. + vX_[3026] * vX_[875];
+ vX_[327] = vX_[3387] * vX_[4] + vX_[764] * vX_[65];
+ vX_[339] = vX_[3387] * vX_[65] + vX_[764] * vX_[9];
+ vX_[369] = vX_[333] + vX_[369] * vX_[5] + vX_[987] * vX_[89] * 2. + vX_[3026] * vX_[874];
+ vX_[3033] = 0 - (0 - (vX_[3004] * vX_[101] + vX_[3003] * vX_[88]) + vX_[499] * vX_[103] + vX_[2100] * vX_[5] + vX_[3033] * vX_[89] + vX_[3026] * vX_[877]);
+ vX_[2872] = vX_[2950] + vX_[2872] * vX_[88] + vX_[2927] * vX_[50];
+ vX_[2253] = 0 - (vX_[2872] + vX_[2253] * vX_[89] + vX_[340] * vX_[103] + vX_[2723] * vX_[877]);
+ vX_[2743] = 0 - (vX_[2743] + vX_[2930] * vX_[89] + vX_[342] * vX_[103] + vX_[2723] * vX_[874] + vX_[2683] * vX_[877]);
+ vX_[671] = vX_[2977] + vX_[671] * vX_[89] + vX_[1609] * vX_[103] * 2. + vX_[2723] * vX_[875] + vX_[885] * vX_[877];
+ vX_[2977] = 0 - vX_[671];
+ vX_[2727] = (vX_[2253] * vX_[27] + vX_[2727] * vX_[17] + vX_[2743] * vX_[110] + vX_[2977] * vX_[119]) * 1 / vX_[0];
+ vX_[2253] = 0 - vX_[369] + vX_[2848] * vX_[831] + vX_[3033] * vX_[98] + vX_[2253] * vX_[86] + vX_[2727];
+ vX_[2723] = 0 - vX_[3387];
+ vX_[342] = vX_[342] + vX_[2683] * vX_[875] + vX_[885] * vX_[874];
+ vX_[2930] = 0 - vX_[342];
+ vX_[1609] = vX_[1609] + vX_[885] * vX_[875];
+ vX_[340] = 0 - vX_[1609];
+ vX_[2927] = vX_[340] * vX_[119] * 1 / vX_[0];
+ vX_[340] = vX_[936] * vX_[831] + vX_[2723] * vX_[98] + vX_[2977] * vX_[86] + vX_[3512] * vX_[113] + vX_[2930] * vX_[474] + vX_[340] * vX_[483] + vX_[2927];
+ vX_[2977] = 0 - vX_[369];
+ vX_[987] = vX_[987] + vX_[2683] * vX_[874];
+ vX_[3512] = 0 - vX_[987];
+ vX_[2930] = (vX_[3512] * vX_[110] + vX_[2930] * vX_[119]) * 1 / vX_[0];
+ vX_[3512] = vX_[947] * vX_[831] + vX_[2977] * vX_[98] + vX_[2743] * vX_[86] + vX_[2829] * vX_[113] + vX_[3512] * vX_[474] + vX_[2930];
+ vX_[2872] = vX_[2994] + vX_[3001] + vX_[2950] - vX_[2872] - vX_[2670] + vX_[746] * vX_[89] + vX_[3006] * vX_[5];
+ vX_[2670] = vX_[2872] - vX_[350];
+ vX_[3006] = vX_[2670] * vX_[4] + vX_[3551] * vX_[65];
+ vX_[746] = vX_[2670] * vX_[65] + vX_[3551] * vX_[9];
+ vX_[2872] = 0 - vX_[2872];
+ vX_[2977] = (vX_[2872] * vX_[97] + vX_[3033] * vX_[27] + vX_[1060] * vX_[17] + vX_[2977] * vX_[110] + vX_[2723] * vX_[119]) * 1 / vX_[0];
+ vX_[2872] = vX_[2864] * vX_[831] + vX_[2872] * vX_[98] + vX_[2977];
+ vX_[2723] = vX_[3258] * vX_[65] + vX_[2872] * vX_[4];
+ vX_[3033] = vX_[3258] * vX_[9] + vX_[2872] * vX_[65];
+ vX_[671] = vX_[3036] - vX_[671];
+ vX_[2977] = 0 - vX_[2864] * vX_[849] - vX_[2848] * vX_[817] - vX_[3745] * vX_[881] - vX_[2771] * vX_[1013] + vX_[2771] * vX_[831] - vX_[947] * vX_[862] - vX_[936] * vX_[855] - vX_[2977] * vX_[98] - vX_[2727] * vX_[86] - vX_[3386] * vX_[113] - vX_[2930] * vX_[474] - vX_[2927] * vX_[483];
+ vX_[2930] = 0 - vX_[1609] + vX_[2977];
+ vX_[2927] = vX_[2930] * vX_[4] + vX_[340] * vX_[65];
+ vX_[2727] = vX_[2930] * vX_[65] + vX_[340] * vX_[9];
+ vX_[3386] = vX_[2927] * vX_[65] + vX_[2727] * vX_[4];
+ vX_[936] = vX_[1609] + vX_[2927] * vX_[4];
+ vX_[947] = vX_[1609] + vX_[2727] * vX_[65];
+ vX_[2977] = vX_[987] + vX_[1609] + vX_[2977] - vX_[936] - vX_[947];
+ vX_[987] = 0 - vX_[2977];
+ vX_[1609] = vX_[369] * vX_[4] + vX_[3036] * vX_[65];
+ vX_[2771] = vX_[1609] + vX_[987] * vX_[8];
+ vX_[3745] = 0 - vX_[2771];
+ vX_[1609] = 0 - (vX_[671] * vX_[65] + vX_[2253] * vX_[9]) + vX_[1609];
+ vX_[2848] = vX_[369] * vX_[65] + vX_[3036] * vX_[9];
+ vX_[2864] = vX_[2848] + vX_[2977] * vX_[71];
+ vX_[1060] = 0 - vX_[2864];
+ vX_[2950] = 0 - (vX_[342] * vX_[65] + vX_[3512] * vX_[9]) + vX_[342] * vX_[65] * 2.;
+ vX_[3001] = 0 - vX_[2950];
+ vX_[2994] = vX_[342] * vX_[4] + vX_[3512] * vX_[65] + vX_[342] * vX_[9] * 2.;
+ vX_[2743] = 0 - vX_[2994];
+ vX_[2829] = 0 - vX_[947];
+ vX_[2848] = vX_[671] * vX_[4] + vX_[2253] * vX_[65] + vX_[2848];
+ vX_[3003] = 0 - vX_[3386];
+ vX_[3004] = 0 - vX_[947];
+ jac[608] = 0 - (vX_[2871] * vX_[842] + vX_[885] * vX_[872] + vX_[3551] * vX_[93] + vX_[3258] * vX_[33] + vX_[3036] * vX_[106] + vX_[764] * vX_[118] + vX_[327] * vX_[24] + vX_[339] * vX_[13] + vX_[2253] * vX_[51] + vX_[340] * vX_[23] + vX_[342] * vX_[526] + vX_[3512] * vX_[109] + vX_[2352] * vX_[823] + vX_[2533] * vX_[816] - (vX_[3026] * vX_[828] + vX_[2580] * vX_[809]) + (vX_[2683] * vX_[828] + vX_[2580] * vX_[808]) * 0.08 - (vX_[948] * vX_[863] + vX_[2670] * vX_[95] + vX_[3006] * vX_[94] + vX_[746] * vX_[73] + vX_[369] * vX_[85] + vX_[3387] * vX_[117] + vX_[2872] * vX_[18] + vX_[2723] * vX_[21] + vX_[3033] * vX_[34] + vX_[671] * vX_[68] + vX_[2930] * vX_[3] + vX_[342] * vX_[107] + vX_[2927] * vX_[42] + vX_[2727] * vX_[28] + (vX_[3386] * vX_[55] + vX_[987] * vX_[70] + vX_[936] * vX_[84] + vX_[3745] * vX_[80] + (vX_[1609] + vX_[936] * vX_[8]) * 4.027 + vX_[1060] * vX_[73] + vX_[3001] * vX_[21] + vX_[2743] * vX_[24] + vX_[3386] * vX_[43] + vX_[936] * vX_[22]) * 0.08 + vX_[2731] * vX_[810])) * vX_[3682] + (0 - (vX_[2871] * vX_[828] + vX_[2580] * vX_[823]) - (vX_[3026] * vX_[842] + vX_[2352] * vX_[809]) + (vX_[2683] * vX_[842] + vX_[2977] * vX_[72] + vX_[2829] * vX_[55] + vX_[2771] * vX_[73] + vX_[2864] * vX_[75] + (0 - (vX_[2848] + vX_[3386] * vX_[8] + vX_[2829] * vX_[71])) * 4.027 + vX_[2950] * vX_[34] + vX_[2994] * vX_[13] + vX_[3003] * vX_[30] + vX_[3004] * vX_[39] + vX_[2352] * vX_[808]) * 0.08 - (vX_[948] * vX_[872] + vX_[885] * vX_[863] + vX_[2670] * vX_[93] + vX_[3551] * vX_[95] + vX_[3006] * vX_[73] + vX_[746] * vX_[92] + vX_[369] * vX_[106] + vX_[3258] * vX_[18] + vX_[3387] * vX_[118] + vX_[3036] * vX_[85] + vX_[2872] * vX_[33] + vX_[764] * vX_[117] + vX_[2723] * vX_[24] + vX_[3033] * vX_[13] + vX_[327] * vX_[21] + vX_[339] * vX_[34] + vX_[671] * vX_[51] + vX_[2253] * vX_[68] + vX_[2930] * vX_[23] + vX_[340] * vX_[3] + vX_[342] * vX_[108] + vX_[342] * vX_[109] + vX_[3512] * vX_[107] + vX_[2927] * vX_[28] + vX_[2727] * vX_[38] + vX_[2731] * vX_[816] + vX_[2533] * vX_[810])) * vX_[3271];
+ vX_[1799] = vX_[3146] * vX_[88] + vX_[3011] * vX_[50] + vX_[3260] * vX_[103] + vX_[1248] * vX_[89] + vX_[1799] * vX_[5] + vX_[3168] * vX_[878];
+ vX_[1248] = vX_[820] * vX_[1810] + vX_[821] * vX_[1898] + vX_[5] * vX_[1899] + vX_[822] * vX_[1855] + vX_[88] * vX_[1754] + vX_[878];
+ vX_[3260] = 0 - vX_[1799];
+ vX_[2877] = 0 - (vX_[3027] * vX_[101] + vX_[1916] * vX_[88] + vX_[3024] * vX_[50] + vX_[3044] * vX_[5] + vX_[2877] * vX_[89] + vX_[2099] * vX_[103] + vX_[2873] * vX_[878] + vX_[3045] * vX_[877]);
+ vX_[1337] = vX_[2834] + vX_[1337] * vX_[101] + vX_[3024] * vX_[88];
+ vX_[445] = vX_[1337] + vX_[445] * vX_[5] + vX_[1456] * vX_[103] + vX_[3045] * vX_[878];
+ vX_[1456] = 0 - vX_[445];
+ vX_[3178] = vX_[370] + vX_[3178] * vX_[5] + vX_[2599] * vX_[103] * 2. + vX_[3045] * vX_[874] + vX_[2833] * vX_[878];
+ vX_[2599] = 0 - vX_[3178];
+ vX_[3061] = vX_[2529] + vX_[2315] * vX_[5] + vX_[3061] * vX_[103] + vX_[3045] * vX_[875] + vX_[1983] * vX_[878];
+ vX_[2529] = 0 - vX_[3061];
+ vX_[2315] = (vX_[1456] * vX_[17] + vX_[2599] * vX_[110] + vX_[2529] * vX_[119]) * 1 / vX_[0];
+ vX_[1456] = vX_[3081] * vX_[1248] + vX_[123] * vX_[831] + vX_[3260] * vX_[98] + vX_[2877] * vX_[86] + vX_[1456] * vX_[113] + vX_[2315];
+ vX_[781] = vX_[2756] + vX_[1907] * vX_[89] + vX_[781] * vX_[5] * 2. + vX_[3168] * vX_[875];
+ vX_[2756] = vX_[781] * vX_[4] + vX_[3061] * vX_[65];
+ vX_[3081] = vX_[781] * vX_[65] + vX_[3061] * vX_[9];
+ vX_[3412] = vX_[2803] + vX_[3412] * vX_[5] + vX_[2890] * vX_[89] * 2. + vX_[3168] * vX_[874];
+ vX_[1855] = vX_[102] * vX_[1810] + vX_[100] * vX_[1898] + vX_[811] * vX_[1899] + vX_[88] * vX_[1855] + vX_[50] * vX_[1754] + vX_[877];
+ vX_[3175] = 0 - (0 - (vX_[3146] * vX_[101] + vX_[3145] * vX_[88]) + vX_[582] * vX_[103] + vX_[2207] * vX_[5] + vX_[3175] * vX_[89] + vX_[3168] * vX_[877]);
+ vX_[3027] = vX_[2834] + vX_[3027] * vX_[88] + vX_[3021] * vX_[50];
+ vX_[2405] = 0 - (vX_[3027] + vX_[2405] * vX_[89] + vX_[2184] * vX_[103] + vX_[2873] * vX_[877]);
+ vX_[1639] = 0 - (vX_[1639] + vX_[3052] * vX_[89] + vX_[1907] * vX_[103] + vX_[2873] * vX_[874] + vX_[2833] * vX_[877]);
+ vX_[2053] = vX_[2033] + vX_[2053] * vX_[89] + vX_[2760] * vX_[103] * 2. + vX_[2873] * vX_[875] + vX_[1983] * vX_[877];
+ vX_[2033] = 0 - vX_[2053];
+ vX_[2877] = (vX_[2405] * vX_[27] + vX_[2877] * vX_[17] + vX_[1639] * vX_[110] + vX_[2033] * vX_[119]) * 1 / vX_[0];
+ vX_[2405] = 0 - vX_[3412] + vX_[3084] * vX_[1855] + vX_[2998] * vX_[831] + vX_[3175] * vX_[98] + vX_[2405] * vX_[86] + vX_[2877];
+ vX_[3084] = vX_[101] * vX_[1810] + vX_[88] * vX_[1898] + vX_[875];
+ vX_[2873] = 0 - vX_[781];
+ vX_[1907] = vX_[1907] + vX_[2833] * vX_[875] + vX_[1983] * vX_[874];
+ vX_[3052] = 0 - vX_[1907];
+ vX_[2760] = vX_[2760] + vX_[1983] * vX_[875];
+ vX_[2184] = 0 - vX_[2760];
+ vX_[3021] = vX_[2184] * vX_[119] * 1 / vX_[0];
+ vX_[2184] = vX_[3025] * vX_[3084] + vX_[3635] * vX_[831] + vX_[2873] * vX_[98] + vX_[2033] * vX_[86] + vX_[2529] * vX_[113] + vX_[3052] * vX_[474] + vX_[2184] * vX_[483] + vX_[3021];
+ vX_[1898] = vX_[88] * vX_[1810] + vX_[50] * vX_[1898] + vX_[874];
+ vX_[2033] = 0 - vX_[3412];
+ vX_[2890] = vX_[2890] + vX_[2833] * vX_[874];
+ vX_[2529] = 0 - vX_[2890];
+ vX_[3052] = (vX_[2529] * vX_[110] + vX_[3052] * vX_[119]) * 1 / vX_[0];
+ vX_[2529] = vX_[3000] * vX_[1898] + vX_[982] * vX_[831] + vX_[2033] * vX_[98] + vX_[1639] * vX_[86] + vX_[2599] * vX_[113] + vX_[2529] * vX_[474] + vX_[3052];
+ vX_[3027] = vX_[3136] + vX_[3143] + vX_[2834] - vX_[3027] - vX_[1337] + vX_[2621] * vX_[89] + vX_[3148] * vX_[5];
+ vX_[1337] = vX_[3027] - vX_[445];
+ vX_[3148] = vX_[1337] * vX_[4] + vX_[1799] * vX_[65];
+ vX_[2621] = vX_[1337] * vX_[65] + vX_[1799] * vX_[9];
+ vX_[1018] = 0.207 * vX_[1810] + vX_[1018];
+ vX_[3027] = 0 - vX_[3027];
+ vX_[2033] = (vX_[3027] * vX_[97] + vX_[3175] * vX_[27] + vX_[3260] * vX_[17] + vX_[2033] * vX_[110] + vX_[2873] * vX_[119]) * 1 / vX_[0];
+ vX_[3027] = vX_[3049] * vX_[1018] + vX_[3014] * vX_[831] + vX_[3027] * vX_[98] + vX_[2033];
+ vX_[3049] = vX_[1456] * vX_[65] + vX_[3027] * vX_[4];
+ vX_[2873] = vX_[1456] * vX_[9] + vX_[3027] * vX_[65];
+ vX_[2053] = vX_[3178] - vX_[2053];
+ vX_[3175] = (vX_[831] - vX_[0] * vX_[1899] - vX_[110] * vX_[1898] - vX_[119] * vX_[3084] - vX_[97] * vX_[1018] - vX_[27] * vX_[1855] - vX_[17] * vX_[1248]) / vX_[0];
+ vX_[2033] = 0 - vX_[3085] * vX_[3175] + vX_[3040] * vX_[1899] - vX_[3014] * vX_[849] - vX_[2998] * vX_[817] - vX_[123] * vX_[881] - vX_[2921] * vX_[1013] + vX_[2921] * vX_[831] - vX_[982] * vX_[862] - vX_[3635] * vX_[855] - vX_[2033] * vX_[98] - vX_[2877] * vX_[86] - vX_[2315] * vX_[113] - vX_[3052] * vX_[474] - vX_[3021] * vX_[483];
+ vX_[3052] = 0 - vX_[2760] + vX_[2033];
+ vX_[3021] = vX_[3052] * vX_[4] + vX_[2184] * vX_[65];
+ vX_[2877] = vX_[3052] * vX_[65] + vX_[2184] * vX_[9];
+ vX_[2315] = vX_[3021] * vX_[65] + vX_[2877] * vX_[4];
+ vX_[3635] = vX_[2760] + vX_[3021] * vX_[4];
+ vX_[982] = vX_[2760] + vX_[2877] * vX_[65];
+ vX_[2033] = vX_[2890] + vX_[2760] + vX_[2033] - vX_[3635] - vX_[982];
+ vX_[2890] = 0 - vX_[2033];
+ vX_[2760] = vX_[3412] * vX_[4] + vX_[3178] * vX_[65];
+ vX_[2921] = vX_[2760] + vX_[2890] * vX_[8];
+ vX_[123] = 0 - vX_[2921];
+ vX_[2760] = 0 - (vX_[2053] * vX_[65] + vX_[2405] * vX_[9]) + vX_[2760];
+ vX_[2998] = vX_[3412] * vX_[65] + vX_[3178] * vX_[9];
+ vX_[3014] = vX_[2998] + vX_[2033] * vX_[71];
+ vX_[3040] = 0 - vX_[3014];
+ vX_[3085] = 0 - (vX_[1907] * vX_[65] + vX_[2529] * vX_[9]) + vX_[1907] * vX_[65] * 2.;
+ vX_[3260] = 0 - vX_[3085];
+ vX_[1810] = vX_[1907] * vX_[4] + vX_[2529] * vX_[65] + vX_[1907] * vX_[9] * 2.;
+ vX_[2834] = 0 - vX_[1810];
+ vX_[3143] = 0 - vX_[982];
+ vX_[2998] = vX_[2053] * vX_[4] + vX_[2405] * vX_[65] + vX_[2998];
+ vX_[3136] = 0 - vX_[2315];
+ vX_[1639] = 0 - vX_[982];
+ jac[609] = 0 - (vX_[3045] * vX_[842] + vX_[1983] * vX_[872] + vX_[1799] * vX_[93] + vX_[1456] * vX_[33] + vX_[3178] * vX_[106] + vX_[3061] * vX_[118] + vX_[2756] * vX_[24] + vX_[3081] * vX_[13] + vX_[2405] * vX_[51] + vX_[2184] * vX_[23] + vX_[1907] * vX_[526] + vX_[2529] * vX_[109] + vX_[655] * vX_[823] + vX_[2769] * vX_[816] - (vX_[3168] * vX_[828] + vX_[2687] * vX_[809]) + (vX_[2833] * vX_[828] + vX_[2687] * vX_[808]) * 0.08 - (vX_[2609] * vX_[863] + vX_[1337] * vX_[95] + vX_[3148] * vX_[94] + vX_[2621] * vX_[73] + vX_[3412] * vX_[85] + vX_[781] * vX_[117] + vX_[3027] * vX_[18] + vX_[3049] * vX_[21] + vX_[2873] * vX_[34] + vX_[2053] * vX_[68] + vX_[3052] * vX_[3] + vX_[1907] * vX_[107] + vX_[3021] * vX_[42] + vX_[2877] * vX_[28] + (vX_[2315] * vX_[55] + vX_[2890] * vX_[70] + vX_[3635] * vX_[84] + vX_[123] * vX_[80] + (vX_[2760] + vX_[3635] * vX_[8]) * 4.027 + vX_[3040] * vX_[73] + vX_[3260] * vX_[21] + vX_[2834] * vX_[24] + vX_[2315] * vX_[43] + vX_[3635] * vX_[22]) * 0.08 + vX_[2881] * vX_[810])) * vX_[3682] + (0 - (vX_[3045] * vX_[828] + vX_[2687] * vX_[823]) - (vX_[3168] * vX_[842] + vX_[655] * vX_[809]) + (vX_[2833] * vX_[842] + vX_[2033] * vX_[72] + vX_[3143] * vX_[55] + vX_[2921] * vX_[73] + vX_[3014] * vX_[75] + (0 - (vX_[2998] + vX_[2315] * vX_[8] + vX_[3143] * vX_[71])) * 4.027 + vX_[3085] * vX_[34] + vX_[1810] * vX_[13] + vX_[3136] * vX_[30] + vX_[1639] * vX_[39] + vX_[655] * vX_[808]) * 0.08 - (vX_[2609] * vX_[872] + vX_[1983] * vX_[863] + vX_[1337] * vX_[93] + vX_[1799] * vX_[95] + vX_[3148] * vX_[73] + vX_[2621] * vX_[92] + vX_[3412] * vX_[106] + vX_[1456] * vX_[18] + vX_[781] * vX_[118] + vX_[3178] * vX_[85] + vX_[3027] * vX_[33] + vX_[3061] * vX_[117] + vX_[3049] * vX_[24] + vX_[2873] * vX_[13] + vX_[2756] * vX_[21] + vX_[3081] * vX_[34] + vX_[2053] * vX_[51] + vX_[2405] * vX_[68] + vX_[3052] * vX_[23] + vX_[2184] * vX_[3] + vX_[1907] * vX_[108] + vX_[1907] * vX_[109] + vX_[2529] * vX_[107] + vX_[3021] * vX_[28] + vX_[2877] * vX_[38] + vX_[2881] * vX_[816] + vX_[2769] * vX_[810])) * vX_[3271];
+ vX_[3409] = vX_[3298] * vX_[88] + vX_[3180] * vX_[50] + vX_[1466] * vX_[103] + vX_[1298] * vX_[89] + vX_[3409] * vX_[5] + vX_[3320] * vX_[878];
+ vX_[1298] = 0 - vX_[3409];
+ vX_[2953] = 0 - (vX_[3155] * vX_[101] + vX_[2784] * vX_[88] + vX_[3166] * vX_[50] + vX_[3164] * vX_[5] + vX_[2953] * vX_[89] + vX_[3385] * vX_[103] + vX_[3002] * vX_[878] + vX_[3154] * vX_[877]);
+ vX_[2124] = vX_[3213] + vX_[2124] * vX_[101] + vX_[3166] * vX_[88];
+ vX_[1792] = vX_[2124] + vX_[1792] * vX_[5] + vX_[1604] * vX_[103] + vX_[3154] * vX_[878];
+ vX_[1604] = 0 - vX_[1792];
+ vX_[3330] = vX_[3489] + vX_[3330] * vX_[5] + vX_[2598] * vX_[103] * 2. + vX_[3154] * vX_[874] + vX_[3100] * vX_[878];
+ vX_[2598] = 0 - vX_[3330];
+ vX_[392] = vX_[3035] + vX_[1427] * vX_[5] + vX_[392] * vX_[103] + vX_[3154] * vX_[875] + vX_[1939] * vX_[878];
+ vX_[3035] = 0 - vX_[392];
+ vX_[1427] = (vX_[1604] * vX_[17] + vX_[2598] * vX_[110] + vX_[3035] * vX_[119]) * 1 / vX_[0];
+ vX_[1604] = vX_[3191] * vX_[1248] + vX_[2814] * vX_[831] + vX_[1298] * vX_[98] + vX_[2953] * vX_[86] + vX_[1604] * vX_[113] + vX_[1427];
+ vX_[2423] = vX_[404] + vX_[2343] * vX_[89] + vX_[2423] * vX_[5] * 2. + vX_[3320] * vX_[875];
+ vX_[404] = vX_[2423] * vX_[4] + vX_[392] * vX_[65];
+ vX_[3191] = vX_[2423] * vX_[65] + vX_[392] * vX_[9];
+ vX_[3018] = vX_[1324] + vX_[3018] * vX_[5] + vX_[1641] * vX_[89] * 2. + vX_[3320] * vX_[874];
+ vX_[3327] = 0 - (0 - (vX_[3298] * vX_[101] + vX_[3297] * vX_[88]) + vX_[1548] * vX_[103] + vX_[3405] * vX_[5] + vX_[3327] * vX_[89] + vX_[3320] * vX_[877]);
+ vX_[3155] = vX_[3213] + vX_[3155] * vX_[88] + vX_[3210] * vX_[50];
+ vX_[165] = 0 - (vX_[3155] + vX_[165] * vX_[89] + vX_[971] * vX_[103] + vX_[3002] * vX_[877]);
+ vX_[2334] = 0 - (vX_[2334] + vX_[3182] * vX_[89] + vX_[2343] * vX_[103] + vX_[3002] * vX_[874] + vX_[3100] * vX_[877]);
+ vX_[2413] = vX_[1446] + vX_[2413] * vX_[89] + vX_[578] * vX_[103] * 2. + vX_[3002] * vX_[875] + vX_[1939] * vX_[877];
+ vX_[1446] = 0 - vX_[2413];
+ vX_[2953] = (vX_[165] * vX_[27] + vX_[2953] * vX_[17] + vX_[2334] * vX_[110] + vX_[1446] * vX_[119]) * 1 / vX_[0];
+ vX_[165] = 0 - vX_[3018] + vX_[3142] * vX_[1855] + vX_[3140] * vX_[831] + vX_[3327] * vX_[98] + vX_[165] * vX_[86] + vX_[2953];
+ vX_[3142] = 0 - vX_[2423];
+ vX_[2343] = vX_[2343] + vX_[3100] * vX_[875] + vX_[1939] * vX_[874];
+ vX_[3002] = 0 - vX_[2343];
+ vX_[578] = vX_[578] + vX_[1939] * vX_[875];
+ vX_[3182] = 0 - vX_[578];
+ vX_[971] = vX_[3182] * vX_[119] * 1 / vX_[0];
+ vX_[3182] = vX_[3184] * vX_[3084] + vX_[2682] * vX_[831] + vX_[3142] * vX_[98] + vX_[1446] * vX_[86] + vX_[3035] * vX_[113] + vX_[3002] * vX_[474] + vX_[3182] * vX_[483] + vX_[971];
+ vX_[1446] = 0 - vX_[3018];
+ vX_[1641] = vX_[1641] + vX_[3100] * vX_[874];
+ vX_[3035] = 0 - vX_[1641];
+ vX_[3002] = (vX_[3035] * vX_[110] + vX_[3002] * vX_[119]) * 1 / vX_[0];
+ vX_[3035] = vX_[3187] * vX_[1898] + vX_[1914] * vX_[831] + vX_[1446] * vX_[98] + vX_[2334] * vX_[86] + vX_[2598] * vX_[113] + vX_[3035] * vX_[474] + vX_[3002];
+ vX_[2334] = vX_[1899] + vX_[3175];
+ vX_[3155] = vX_[3288] + vX_[3295] + vX_[3213] - vX_[3155] - vX_[2124] + vX_[387] * vX_[89] + vX_[3300] * vX_[5];
+ vX_[2124] = vX_[3155] - vX_[1792];
+ vX_[3300] = vX_[2124] * vX_[4] + vX_[3409] * vX_[65];
+ vX_[387] = vX_[2124] * vX_[65] + vX_[3409] * vX_[9];
+ vX_[3155] = 0 - vX_[3155];
+ vX_[1446] = (vX_[3155] * vX_[97] + vX_[3327] * vX_[27] + vX_[1298] * vX_[17] + vX_[1446] * vX_[110] + vX_[3142] * vX_[119]) * 1 / vX_[0];
+ vX_[3155] = vX_[3144] * vX_[1018] + vX_[3156] * vX_[831] + vX_[3155] * vX_[98] + vX_[1446];
+ vX_[3144] = vX_[1604] * vX_[65] + vX_[3155] * vX_[4];
+ vX_[3142] = vX_[1604] * vX_[9] + vX_[3155] * vX_[65];
+ vX_[2413] = vX_[3330] - vX_[2413];
+ vX_[1446] = 0 - vX_[3194] * vX_[3175] + vX_[3189] * vX_[1899] - vX_[3156] * vX_[849] - vX_[3140] * vX_[817] - vX_[2814] * vX_[881] - vX_[3023] * vX_[1013] + vX_[3023] * vX_[831] - vX_[1914] * vX_[862] - vX_[2682] * vX_[855] - vX_[1446] * vX_[98] - vX_[2953] * vX_[86] - vX_[1427] * vX_[113] - vX_[3002] * vX_[474] - vX_[971] * vX_[483];
+ vX_[3002] = 0 - vX_[578] + vX_[1446];
+ vX_[971] = vX_[3002] * vX_[4] + vX_[3182] * vX_[65];
+ vX_[2953] = vX_[3002] * vX_[65] + vX_[3182] * vX_[9];
+ vX_[1427] = vX_[971] * vX_[65] + vX_[2953] * vX_[4];
+ vX_[2682] = vX_[578] + vX_[971] * vX_[4];
+ vX_[1914] = vX_[578] + vX_[2953] * vX_[65];
+ vX_[1446] = vX_[1641] + vX_[578] + vX_[1446] - vX_[2682] - vX_[1914];
+ vX_[1641] = 0 - vX_[1446];
+ vX_[578] = vX_[3018] * vX_[4] + vX_[3330] * vX_[65];
+ vX_[3023] = vX_[578] + vX_[1641] * vX_[8];
+ vX_[2814] = 0 - vX_[3023];
+ vX_[578] = 0 - (vX_[2413] * vX_[65] + vX_[165] * vX_[9]) + vX_[578];
+ vX_[3140] = vX_[3018] * vX_[65] + vX_[3330] * vX_[9];
+ vX_[3156] = vX_[3140] + vX_[1446] * vX_[71];
+ vX_[3189] = 0 - vX_[3156];
+ vX_[3194] = 0 - (vX_[2343] * vX_[65] + vX_[3035] * vX_[9]) + vX_[2343] * vX_[65] * 2.;
+ vX_[3327] = 0 - vX_[3194];
+ vX_[1298] = vX_[2343] * vX_[4] + vX_[3035] * vX_[65] + vX_[2343] * vX_[9] * 2.;
+ vX_[3213] = 0 - vX_[1298];
+ vX_[3295] = 0 - vX_[1914];
+ vX_[3140] = vX_[2413] * vX_[4] + vX_[165] * vX_[65] + vX_[3140];
+ vX_[3288] = 0 - vX_[1427];
+ vX_[2598] = 0 - vX_[1914];
+ jac[610] = 0 - (vX_[3013] * vX_[1248] + vX_[3222] * vX_[3084] + vX_[3154] * vX_[842] + vX_[1939] * vX_[872] + vX_[3409] * vX_[93] + vX_[1604] * vX_[33] + vX_[3330] * vX_[106] + vX_[392] * vX_[118] + vX_[404] * vX_[24] + vX_[3191] * vX_[13] + vX_[165] * vX_[51] + vX_[3182] * vX_[23] + vX_[2343] * vX_[526] + vX_[3035] * vX_[109] + vX_[2832] * vX_[823] + vX_[2837] * vX_[816] - (vX_[3152] * vX_[1018] + vX_[3320] * vX_[828] + vX_[2713] * vX_[809]) + (vX_[3152] * vX_[1898] + vX_[3100] * vX_[828] + vX_[2713] * vX_[808]) * 0.08 - (vX_[3069] * vX_[2334] + vX_[2931] * vX_[863] + vX_[2124] * vX_[95] + vX_[3300] * vX_[94] + vX_[387] * vX_[73] + vX_[3018] * vX_[85] + vX_[2423] * vX_[117] + vX_[3155] * vX_[18] + vX_[3144] * vX_[21] + vX_[3142] * vX_[34] + vX_[2413] * vX_[68] + vX_[3002] * vX_[3] + vX_[2343] * vX_[107] + vX_[971] * vX_[42] + vX_[2953] * vX_[28] + (vX_[1427] * vX_[55] + vX_[1641] * vX_[70] + vX_[2682] * vX_[84] + vX_[2814] * vX_[80] + (vX_[578] + vX_[2682] * vX_[8]) * 4.027 + vX_[3189] * vX_[73] + vX_[3327] * vX_[21] + vX_[3213] * vX_[24] + vX_[1427] * vX_[43] + vX_[2682] * vX_[22]) * 0.08 + vX_[2229] * vX_[810])) * vX_[3682] + (0 - (vX_[3152] * vX_[1248] + vX_[3154] * vX_[828] + vX_[2713] * vX_[823]) - (vX_[3013] * vX_[1018] + vX_[3320] * vX_[842] + vX_[2832] * vX_[809]) + (vX_[3013] * vX_[1898] + vX_[3100] * vX_[842] + vX_[1446] * vX_[72] + vX_[3295] * vX_[55] + vX_[3023] * vX_[73] + vX_[3156] * vX_[75] + (0 - (vX_[3140] + vX_[1427] * vX_[8] + vX_[3295] * vX_[71])) * 4.027 + vX_[3194] * vX_[34] + vX_[1298] * vX_[13] + vX_[3288] * vX_[30] + vX_[2598] * vX_[39] + vX_[2832] * vX_[808]) * 0.08 - (vX_[3069] * vX_[3084] + vX_[3222] * vX_[2334] + vX_[2931] * vX_[872] + vX_[1939] * vX_[863] + vX_[2124] * vX_[93] + vX_[3409] * vX_[95] + vX_[3300] * vX_[73] + vX_[387] * vX_[92] + vX_[3018] * vX_[106] + vX_[1604] * vX_[18] + vX_[2423] * vX_[118] + vX_[3330] * vX_[85] + vX_[3155] * vX_[33] + vX_[392] * vX_[117] + vX_[3144] * vX_[24] + vX_[3142] * vX_[13] + vX_[404] * vX_[21] + vX_[3191] * vX_[34] + vX_[2413] * vX_[51] + vX_[165] * vX_[68] + vX_[3002] * vX_[23] + vX_[3182] * vX_[3] + vX_[2343] * vX_[108] + vX_[2343] * vX_[109] + vX_[3035] * vX_[107] + vX_[971] * vX_[28] + vX_[2953] * vX_[38] + vX_[2229] * vX_[816] + vX_[2837] * vX_[810])) * vX_[3271];
+ vX_[2369] = vX_[3445] * vX_[88] + vX_[3332] * vX_[50] + vX_[2455] * vX_[103] + vX_[2810] * vX_[89] + vX_[2369] * vX_[5] + vX_[728] * vX_[878];
+ vX_[2810] = 0 - vX_[2369];
+ vX_[475] = 0 - (vX_[3307] * vX_[101] + vX_[1835] * vX_[88] + vX_[3318] * vX_[50] + vX_[3316] * vX_[5] + vX_[475] * vX_[89] + vX_[2465] * vX_[103] + vX_[3219] * vX_[878] + vX_[3306] * vX_[877]);
+ vX_[621] = vX_[1016] + vX_[621] * vX_[101] + vX_[3318] * vX_[88];
+ vX_[2436] = vX_[621] + vX_[2436] * vX_[5] + vX_[1109] * vX_[103] + vX_[3306] * vX_[878];
+ vX_[1109] = 0 - vX_[2436];
+ vX_[3465] = vX_[2318] + vX_[3465] * vX_[5] + vX_[3159] * vX_[103] * 2. + vX_[3306] * vX_[874] + vX_[3205] * vX_[878];
+ vX_[3159] = 0 - vX_[3465];
+ vX_[2014] = vX_[1740] + vX_[1768] * vX_[5] + vX_[2014] * vX_[103] + vX_[3306] * vX_[875] + vX_[775] * vX_[878];
+ vX_[1740] = 0 - vX_[2014];
+ vX_[1768] = (vX_[1109] * vX_[17] + vX_[3159] * vX_[110] + vX_[1740] * vX_[119]) * 1 / vX_[0];
+ vX_[1109] = vX_[3342] * vX_[1248] + vX_[3411] * vX_[831] + vX_[2810] * vX_[98] + vX_[475] * vX_[86] + vX_[1109] * vX_[113] + vX_[1768];
+ vX_[2448] = vX_[765] + vX_[3276] * vX_[89] + vX_[2448] * vX_[5] * 2. + vX_[728] * vX_[875];
+ vX_[765] = vX_[2448] * vX_[4] + vX_[2014] * vX_[65];
+ vX_[3342] = vX_[2448] * vX_[65] + vX_[2014] * vX_[9];
+ vX_[3200] = vX_[1575] + vX_[3200] * vX_[5] + vX_[1906] * vX_[89] * 2. + vX_[728] * vX_[874];
+ vX_[3462] = 0 - (0 - (vX_[3445] * vX_[101] + vX_[3444] * vX_[88]) + vX_[2735] * vX_[103] + vX_[2302] * vX_[5] + vX_[3462] * vX_[89] + vX_[728] * vX_[877]);
+ vX_[3307] = vX_[1016] + vX_[3307] * vX_[88] + vX_[3362] * vX_[50];
+ vX_[2863] = 0 - (vX_[3307] + vX_[2863] * vX_[89] + vX_[463] * vX_[103] + vX_[3219] * vX_[877]);
+ vX_[1638] = 0 - (vX_[1638] + vX_[3346] * vX_[89] + vX_[3276] * vX_[103] + vX_[3219] * vX_[874] + vX_[3205] * vX_[877]);
+ vX_[3641] = vX_[1328] + vX_[3641] * vX_[89] + vX_[1846] * vX_[103] * 2. + vX_[3219] * vX_[875] + vX_[775] * vX_[877];
+ vX_[1328] = 0 - vX_[3641];
+ vX_[475] = (vX_[2863] * vX_[27] + vX_[475] * vX_[17] + vX_[1638] * vX_[110] + vX_[1328] * vX_[119]) * 1 / vX_[0];
+ vX_[2863] = 0 - vX_[3200] + vX_[3309] * vX_[1855] + vX_[3292] * vX_[831] + vX_[3462] * vX_[98] + vX_[2863] * vX_[86] + vX_[475];
+ vX_[1855] = 0 - vX_[2448];
+ vX_[3276] = vX_[3276] + vX_[3205] * vX_[875] + vX_[775] * vX_[874];
+ vX_[3309] = 0 - vX_[3276];
+ vX_[1846] = vX_[1846] + vX_[775] * vX_[875];
+ vX_[875] = 0 - vX_[1846];
+ vX_[3219] = vX_[875] * vX_[119] * 1 / vX_[0];
+ vX_[875] = vX_[3336] * vX_[3084] + vX_[2096] * vX_[831] + vX_[1855] * vX_[98] + vX_[1328] * vX_[86] + vX_[1740] * vX_[113] + vX_[3309] * vX_[474] + vX_[875] * vX_[483] + vX_[3219];
+ vX_[1328] = 0 - vX_[3200];
+ vX_[1906] = vX_[1906] + vX_[3205] * vX_[874];
+ vX_[874] = 0 - vX_[1906];
+ vX_[3309] = (vX_[874] * vX_[110] + vX_[3309] * vX_[119]) * 1 / vX_[0];
+ vX_[874] = vX_[3338] * vX_[1898] + vX_[2457] * vX_[831] + vX_[1328] * vX_[98] + vX_[1638] * vX_[86] + vX_[3159] * vX_[113] + vX_[874] * vX_[474] + vX_[3309];
+ vX_[3307] = vX_[3439] + vX_[703] + vX_[1016] - vX_[3307] - vX_[621] + vX_[3231] * vX_[89] + vX_[595] * vX_[5];
+ vX_[621] = vX_[3307] - vX_[2436];
+ vX_[595] = vX_[621] * vX_[4] + vX_[2369] * vX_[65];
+ vX_[3231] = vX_[621] * vX_[65] + vX_[2369] * vX_[9];
+ vX_[3307] = 0 - vX_[3307];
+ vX_[1328] = (vX_[3307] * vX_[97] + vX_[3462] * vX_[27] + vX_[2810] * vX_[17] + vX_[1328] * vX_[110] + vX_[1855] * vX_[119]) * 1 / vX_[0];
+ vX_[3307] = vX_[3296] * vX_[1018] + vX_[3308] * vX_[831] + vX_[3307] * vX_[98] + vX_[1328];
+ vX_[3296] = vX_[1109] * vX_[65] + vX_[3307] * vX_[4];
+ vX_[1855] = vX_[1109] * vX_[9] + vX_[3307] * vX_[65];
+ vX_[3641] = vX_[3465] - vX_[3641];
+ vX_[1328] = 0 - vX_[3294] * vX_[3175] + vX_[3340] * vX_[1899] - vX_[3308] * vX_[849] - vX_[3292] * vX_[817] - vX_[3411] * vX_[881] - vX_[3241] * vX_[1013] + vX_[3241] * vX_[831] - vX_[2457] * vX_[862] - vX_[2096] * vX_[855] - vX_[1328] * vX_[98] - vX_[475] * vX_[86] - vX_[1768] * vX_[113] - vX_[3309] * vX_[474] - vX_[3219] * vX_[483];
+ vX_[3309] = 0 - vX_[1846] + vX_[1328];
+ vX_[3219] = vX_[3309] * vX_[4] + vX_[875] * vX_[65];
+ vX_[475] = vX_[3309] * vX_[65] + vX_[875] * vX_[9];
+ vX_[1768] = vX_[3219] * vX_[65] + vX_[475] * vX_[4];
+ vX_[3175] = vX_[1846] + vX_[3219] * vX_[4];
+ vX_[2096] = vX_[1846] + vX_[475] * vX_[65];
+ vX_[1328] = vX_[1906] + vX_[1846] + vX_[1328] - vX_[3175] - vX_[2096];
+ vX_[1906] = 0 - vX_[1328];
+ vX_[1846] = vX_[3200] * vX_[4] + vX_[3465] * vX_[65];
+ vX_[2457] = vX_[1846] + vX_[1906] * vX_[8];
+ vX_[3241] = 0 - vX_[2457];
+ vX_[1846] = 0 - (vX_[3641] * vX_[65] + vX_[2863] * vX_[9]) + vX_[1846];
+ vX_[3411] = vX_[3200] * vX_[65] + vX_[3465] * vX_[9];
+ vX_[3292] = vX_[3411] + vX_[1328] * vX_[71];
+ vX_[3308] = 0 - vX_[3292];
+ vX_[3340] = 0 - (vX_[3276] * vX_[65] + vX_[874] * vX_[9]) + vX_[3276] * vX_[65] * 2.;
+ vX_[3294] = 0 - vX_[3340];
+ vX_[1899] = vX_[3276] * vX_[4] + vX_[874] * vX_[65] + vX_[3276] * vX_[9] * 2.;
+ vX_[1013] = 0 - vX_[1899];
+ vX_[881] = 0 - vX_[2096];
+ vX_[3411] = vX_[3641] * vX_[4] + vX_[2863] * vX_[65] + vX_[3411];
+ vX_[817] = 0 - vX_[1768];
+ vX_[849] = 0 - vX_[2096];
+ jac[611] = 0 - (vX_[3343] * vX_[1248] + vX_[3334] * vX_[3084] + vX_[3306] * vX_[842] + vX_[775] * vX_[872] + vX_[2369] * vX_[93] + vX_[1109] * vX_[33] + vX_[3465] * vX_[106] + vX_[2014] * vX_[118] + vX_[765] * vX_[24] + vX_[3342] * vX_[13] + vX_[2863] * vX_[51] + vX_[875] * vX_[23] + vX_[3276] * vX_[526] + vX_[874] * vX_[109] + vX_[3157] * vX_[823] + vX_[7] * vX_[816] - (vX_[3324] * vX_[1018] + vX_[728] * vX_[828] + vX_[2999] * vX_[809]) + (vX_[3324] * vX_[1898] + vX_[3205] * vX_[828] + vX_[2999] * vX_[808]) * 0.08 - (vX_[3375] * vX_[2334] + vX_[2540] * vX_[863] + vX_[621] * vX_[95] + vX_[595] * vX_[94] + vX_[3231] * vX_[73] + vX_[3200] * vX_[85] + vX_[2448] * vX_[117] + vX_[3307] * vX_[18] + vX_[3296] * vX_[21] + vX_[1855] * vX_[34] + vX_[3641] * vX_[68] + vX_[3309] * vX_[3] + vX_[3276] * vX_[107] + vX_[3219] * vX_[42] + vX_[475] * vX_[28] + (vX_[1768] * vX_[55] + vX_[1906] * vX_[70] + vX_[3175] * vX_[84] + vX_[3241] * vX_[80] + (vX_[1846] + vX_[3175] * vX_[8]) * 4.027 + vX_[3308] * vX_[73] + vX_[3294] * vX_[21] + vX_[1013] * vX_[24] + vX_[1768] * vX_[43] + vX_[3175] * vX_[22]) * 0.08 + vX_[1844] * vX_[810])) * vX_[3682] + (0 - (vX_[3324] * vX_[1248] + vX_[3306] * vX_[828] + vX_[2999] * vX_[823]) - (vX_[3343] * vX_[1018] + vX_[728] * vX_[842] + vX_[3157] * vX_[809]) + (vX_[3343] * vX_[1898] + vX_[3205] * vX_[842] + vX_[1328] * vX_[72] + vX_[881] * vX_[55] + vX_[2457] * vX_[73] + vX_[3292] * vX_[75] + (0 - (vX_[3411] + vX_[1768] * vX_[8] + vX_[881] * vX_[71])) * 4.027 + vX_[3340] * vX_[34] + vX_[1899] * vX_[13] + vX_[817] * vX_[30] + vX_[849] * vX_[39] + vX_[3157] * vX_[808]) * 0.08 - (vX_[3375] * vX_[3084] + vX_[3334] * vX_[2334] + vX_[2540] * vX_[872] + vX_[775] * vX_[863] + vX_[621] * vX_[93] + vX_[2369] * vX_[95] + vX_[595] * vX_[73] + vX_[3231] * vX_[92] + vX_[3200] * vX_[106] + vX_[1109] * vX_[18] + vX_[2448] * vX_[118] + vX_[3465] * vX_[85] + vX_[3307] * vX_[33] + vX_[2014] * vX_[117] + vX_[3296] * vX_[24] + vX_[1855] * vX_[13] + vX_[765] * vX_[21] + vX_[3342] * vX_[34] + vX_[3641] * vX_[51] + vX_[2863] * vX_[68] + vX_[3309] * vX_[23] + vX_[875] * vX_[3] + vX_[3276] * vX_[108] + vX_[3276] * vX_[109] + vX_[874] * vX_[107] + vX_[3219] * vX_[28] + vX_[475] * vX_[38] + vX_[1844] * vX_[816] + vX_[7] * vX_[810])) * vX_[3271];
+ vX_[910] = vX_[206] + vX_[1019] * vX_[4] + vX_[910] * vX_[8] + vX_[3768] * vX_[869];
+ vX_[164] = vX_[206] + vX_[930] * vX_[65] + vX_[164] * vX_[71] + vX_[3732] * vX_[870];
+ vX_[206] = vX_[910] - vX_[164];
+ vX_[3511] = vX_[1019] * vX_[65] + vX_[930] * vX_[4] + vX_[3761] * vX_[71] + vX_[3511] * vX_[8] + vX_[3768] * vX_[870] + vX_[3732] * vX_[869];
+ vX_[3761] = vX_[206] * vX_[76] + vX_[3511] * vX_[79];
+ vX_[930] = vX_[206] * vX_[62] + vX_[3511] * vX_[76];
+ vX_[910] = 0 - vX_[910];
+ vX_[1019] = 0 - vX_[3511];
+ vX_[964] = vX_[495] * vX_[4] + vX_[901] * vX_[65] + vX_[964] * vX_[8] + vX_[3768] * vX_[866] + vX_[487] * vX_[869];
+ vX_[881] = 0 - vX_[964];
+ vX_[3568] = vX_[495] * vX_[65] + vX_[901] * vX_[9] + vX_[3568] * vX_[8] + vX_[3768] * vX_[867] + vX_[920] * vX_[869];
+ vX_[495] = 0 - vX_[3568];
+ vX_[901] = (vX_[910] * vX_[26] + vX_[1019] * vX_[44] + vX_[881] * vX_[32] + vX_[495] * vX_[69]) * 1 / vX_[41];
+ vX_[910] = vX_[3737] * vX_[847] + vX_[910] * vX_[25] + vX_[901];
+ vX_[164] = 0 - vX_[164];
+ vX_[713] = vX_[1046] * vX_[4] + vX_[3361] * vX_[65] + vX_[713] * vX_[71] + vX_[3732] * vX_[866] + vX_[487] * vX_[870];
+ vX_[1906] = 0 - vX_[713];
+ vX_[698] = vX_[1046] * vX_[65] + vX_[3361] * vX_[9] + vX_[698] * vX_[71] + vX_[3732] * vX_[867] + vX_[920] * vX_[870];
+ vX_[1046] = 0 - vX_[698];
+ vX_[3361] = (vX_[164] * vX_[44] + vX_[1906] * vX_[32] + vX_[1046] * vX_[69]) * 1 / vX_[41];
+ vX_[164] = vX_[3573] * vX_[847] + vX_[1019] * vX_[25] + vX_[164] * vX_[14] + vX_[3361];
+ vX_[3688] = vX_[914] + vX_[979] * vX_[8] + vX_[3688] * vX_[71] * 2. + vX_[558] * vX_[867] - vX_[164];
+ vX_[712] = 0 - (vX_[157] + vX_[712] * vX_[71] + vX_[496] * vX_[8] * 2. + vX_[558] * vX_[866]) + vX_[910];
+ vX_[496] = vX_[496] + vX_[487] * vX_[866];
+ vX_[3654] = vX_[3654] + vX_[920] * vX_[867];
+ vX_[157] = vX_[496] - vX_[3654];
+ vX_[558] = 0 - vX_[496];
+ vX_[979] = vX_[979] + vX_[487] * vX_[867] + vX_[920] * vX_[866];
+ vX_[914] = 0 - vX_[979];
+ vX_[1019] = (vX_[558] * vX_[32] + vX_[914] * vX_[69]) * 1 / vX_[41];
+ vX_[558] = vX_[3723] * vX_[847] + vX_[881] * vX_[25] + vX_[1906] * vX_[14] + vX_[558] * vX_[35] + vX_[1019];
+ vX_[1906] = 0 - vX_[3654];
+ vX_[881] = vX_[1906] * vX_[69] * 1 / vX_[41];
+ vX_[1906] = vX_[195] * vX_[847] + vX_[495] * vX_[25] + vX_[1046] * vX_[14] + vX_[914] * vX_[35] + vX_[1906] * vX_[1] + vX_[881];
+ vX_[914] = 0 - vX_[1906];
+ vX_[1046] = vX_[157] * vX_[76] + vX_[979] * vX_[79];
+ vX_[495] = vX_[157] * vX_[62] + vX_[979] * vX_[76];
+ vX_[1328] = vX_[1046] * vX_[62] + vX_[495] * vX_[76];
+ vX_[475] = vX_[3654] + vX_[1046] * vX_[76];
+ vX_[3219] = vX_[3654] + vX_[495] * vX_[62];
+ vX_[881] = vX_[496] + vX_[3654] + 0 - vX_[3737] * vX_[871] - vX_[3573] * vX_[825] - vX_[159] * vX_[864] + vX_[159] * vX_[847] - vX_[3723] * vX_[860] - vX_[195] * vX_[857] - vX_[901] * vX_[25] - vX_[3361] * vX_[14] - vX_[1019] * vX_[35] - vX_[881] * vX_[1] - vX_[475] - vX_[3219];
+ vX_[1019] = 0 - vX_[881];
+ vX_[3654] = vX_[910] * vX_[76] + vX_[164] * vX_[79];
+ vX_[496] = vX_[3654] + vX_[1019] * vX_[58];
+ vX_[3361] = vX_[910] * vX_[62] + vX_[164] * vX_[76];
+ vX_[901] = vX_[3361] + vX_[881] * vX_[77];
+ vX_[195] = sin(x_in[17]);
+ vX_[3723] = 0 - vX_[1906];
+ vX_[159] = 0 - vX_[3219];
+ vX_[3573] = cos(x_in[17]);
+ jac[630] = 0 - (vX_[3768] * vX_[856] + vX_[3732] * vX_[854] + vX_[487] * vX_[852] + vX_[920] * vX_[851] + vX_[206] * vX_[81] + vX_[3511] * vX_[82] + vX_[3761] * -0.466187537174287 + vX_[930] * -0.00185880198235362 + vX_[910] * vX_[59] + vX_[164] * vX_[46] + vX_[713] * vX_[36] + vX_[3568] * vX_[63] + vX_[964] * vX_[37] + vX_[698] * vX_[78] + (vX_[713] * vX_[76] + vX_[964] * vX_[62]) * 8.81e-05 + (vX_[3568] * vX_[76] + vX_[698] * vX_[79]) * -8.81e-05 + vX_[3688] * vX_[47] + vX_[712] * vX_[60] + vX_[157] * vX_[45] + vX_[558] * vX_[56] + vX_[1906] * vX_[6] + vX_[979] * vX_[48] + vX_[914] * vX_[54] + vX_[558] * vX_[74] + vX_[1046] * vX_[83] + vX_[495] * vX_[49] + (vX_[1328] * vX_[2] + vX_[1019] * vX_[67] + vX_[475] * vX_[66] + (0 - vX_[496]) * 0.414812462825713 + (0 - (vX_[3688] * vX_[62] + vX_[712] * vX_[76]) + vX_[3654] + vX_[475] * vX_[58]) * 0.881 + (0 - vX_[901]) * -0.00185880198235362 + (0 - (vX_[914] * vX_[76] + vX_[558] * vX_[79] + (vX_[558] * vX_[62] + vX_[1906] * vX_[76]) * 2.)) * -8.81e-05 + vX_[1328] * -0.0004405 + vX_[475] * -0.2209548) * -0.35 + vX_[180] * vX_[835] + vX_[1368] * vX_[824] + vX_[170] * vX_[829] + vX_[3742] * vX_[826] + (vX_[3774] * vX_[856] + vX_[180] * vX_[818]) * 0.35) * vX_[195] + (vX_[3768] * vX_[854] + vX_[487] * vX_[851] + vX_[206] * vX_[82] + vX_[3761] * -0.00185880198235362 + vX_[930] * -7.4114911576828e-06 + vX_[910] * vX_[46] + vX_[3568] * vX_[78] + vX_[964] * vX_[36] + (vX_[713] * vX_[79] + vX_[964] * vX_[76]) * -8.81e-05 + vX_[3688] * vX_[60] + vX_[157] * vX_[48] + vX_[558] * vX_[6] + vX_[3723] * vX_[74] + vX_[1046] * vX_[49] + vX_[495] * vX_[10] + vX_[1368] * vX_[835] + vX_[3742] * vX_[829] - (vX_[3732] * vX_[856] + vX_[180] * vX_[824]) + (vX_[3774] * vX_[854] + vX_[881] * vX_[57] + vX_[159] * vX_[2] + vX_[496] * -0.00185880198235362 + vX_[901] * 0.880992588508842 + (0 - (vX_[3688] * vX_[76] + vX_[712] * vX_[79] + vX_[3361] + vX_[1328] * vX_[58] + vX_[159] * vX_[77])) * 0.881 + (0 - (vX_[3723] * vX_[62] + vX_[558] * vX_[76]) + (vX_[558] * vX_[76] + vX_[1906] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[1328]) * -0.1104774 + (0 - vX_[3219]) * -0.000881 + vX_[1368] * vX_[818]) * 0.35 - (vX_[920] * vX_[852] + vX_[3511] * vX_[81] + vX_[164] * vX_[59] + vX_[713] * vX_[37] + vX_[698] * vX_[63] + (vX_[3568] * vX_[62] + vX_[698] * vX_[76]) * 8.81e-05 + vX_[712] * vX_[47] + vX_[1906] * vX_[56] + vX_[979] * vX_[45] + vX_[558] * vX_[54] + vX_[170] * vX_[826])) * vX_[3573];
+ vX_[152] = vX_[3531] + vX_[1150] * vX_[4] + vX_[152] * vX_[8] + vX_[919] * vX_[869];
+ vX_[1027] = vX_[3531] + vX_[343] * vX_[65] + vX_[1027] * vX_[71] + vX_[3413] * vX_[870];
+ vX_[3531] = vX_[152] - vX_[1027];
+ vX_[613] = vX_[1150] * vX_[65] + vX_[343] * vX_[4] + vX_[708] * vX_[71] + vX_[613] * vX_[8] + vX_[919] * vX_[870] + vX_[3413] * vX_[869];
+ vX_[708] = vX_[3531] * vX_[76] + vX_[613] * vX_[79];
+ vX_[343] = vX_[3531] * vX_[62] + vX_[613] * vX_[76];
+ vX_[152] = 0 - vX_[152];
+ vX_[1150] = 0 - vX_[613];
+ vX_[1145] = vX_[693] * vX_[4] + vX_[593] * vX_[65] + vX_[1145] * vX_[8] + vX_[919] * vX_[866] + vX_[1029] * vX_[869];
+ vX_[159] = 0 - vX_[1145];
+ vX_[2656] = vX_[693] * vX_[65] + vX_[593] * vX_[9] + vX_[2656] * vX_[8] + vX_[919] * vX_[867] + vX_[1051] * vX_[869];
+ vX_[693] = 0 - vX_[2656];
+ vX_[593] = (vX_[152] * vX_[26] + vX_[1150] * vX_[44] + vX_[159] * vX_[32] + vX_[693] * vX_[69]) * 1 / vX_[41];
+ vX_[152] = vX_[3648] * vX_[847] + vX_[152] * vX_[25] + vX_[593];
+ vX_[1027] = 0 - vX_[1027];
+ vX_[1043] = vX_[1179] * vX_[4] + vX_[639] * vX_[65] + vX_[1043] * vX_[71] + vX_[3413] * vX_[866] + vX_[1029] * vX_[870];
+ vX_[3723] = 0 - vX_[1043];
+ vX_[1138] = vX_[1179] * vX_[65] + vX_[639] * vX_[9] + vX_[1138] * vX_[71] + vX_[3413] * vX_[867] + vX_[1051] * vX_[870];
+ vX_[1179] = 0 - vX_[1138];
+ vX_[639] = (vX_[1027] * vX_[44] + vX_[3723] * vX_[32] + vX_[1179] * vX_[69]) * 1 / vX_[41];
+ vX_[1027] = vX_[3259] * vX_[847] + vX_[1150] * vX_[25] + vX_[1027] * vX_[14] + vX_[639];
+ vX_[1148] = vX_[806] + vX_[3204] * vX_[8] + vX_[1148] * vX_[71] * 2. + vX_[1045] * vX_[867] - vX_[1027];
+ vX_[1147] = 0 - (vX_[2961] + vX_[1147] * vX_[71] + vX_[145] * vX_[8] * 2. + vX_[1045] * vX_[866]) + vX_[152];
+ vX_[145] = vX_[145] + vX_[1029] * vX_[866];
+ vX_[3734] = vX_[3734] + vX_[1051] * vX_[867];
+ vX_[2961] = vX_[145] - vX_[3734];
+ vX_[1045] = 0 - vX_[145];
+ vX_[3204] = vX_[3204] + vX_[1029] * vX_[867] + vX_[1051] * vX_[866];
+ vX_[806] = 0 - vX_[3204];
+ vX_[1150] = (vX_[1045] * vX_[32] + vX_[806] * vX_[69]) * 1 / vX_[41];
+ vX_[1045] = vX_[625] * vX_[847] + vX_[159] * vX_[25] + vX_[3723] * vX_[14] + vX_[1045] * vX_[35] + vX_[1150];
+ vX_[3723] = 0 - vX_[3734];
+ vX_[159] = vX_[3723] * vX_[69] * 1 / vX_[41];
+ vX_[3723] = vX_[727] * vX_[847] + vX_[693] * vX_[25] + vX_[1179] * vX_[14] + vX_[806] * vX_[35] + vX_[3723] * vX_[1] + vX_[159];
+ vX_[806] = 0 - vX_[3723];
+ vX_[1179] = vX_[2961] * vX_[76] + vX_[3204] * vX_[79];
+ vX_[693] = vX_[2961] * vX_[62] + vX_[3204] * vX_[76];
+ vX_[901] = vX_[1179] * vX_[62] + vX_[693] * vX_[76];
+ vX_[3361] = vX_[3734] + vX_[1179] * vX_[76];
+ vX_[496] = vX_[3734] + vX_[693] * vX_[62];
+ vX_[159] = vX_[145] + vX_[3734] + 0 - vX_[3648] * vX_[871] - vX_[3259] * vX_[825] - vX_[1047] * vX_[864] + vX_[1047] * vX_[847] - vX_[625] * vX_[860] - vX_[727] * vX_[857] - vX_[593] * vX_[25] - vX_[639] * vX_[14] - vX_[1150] * vX_[35] - vX_[159] * vX_[1] - vX_[3361] - vX_[496];
+ vX_[1150] = 0 - vX_[159];
+ vX_[3734] = vX_[152] * vX_[76] + vX_[1027] * vX_[79];
+ vX_[145] = vX_[3734] + vX_[1150] * vX_[58];
+ vX_[639] = vX_[152] * vX_[62] + vX_[1027] * vX_[76];
+ vX_[593] = vX_[639] + vX_[159] * vX_[77];
+ vX_[727] = 0 - vX_[3723];
+ vX_[625] = 0 - vX_[496];
+ jac[631] = 0 - (vX_[919] * vX_[856] + vX_[3413] * vX_[854] + vX_[1029] * vX_[852] + vX_[1051] * vX_[851] + vX_[3531] * vX_[81] + vX_[613] * vX_[82] + vX_[708] * -0.466187537174287 + vX_[343] * -0.00185880198235362 + vX_[152] * vX_[59] + vX_[1027] * vX_[46] + vX_[1043] * vX_[36] + vX_[2656] * vX_[63] + vX_[1145] * vX_[37] + vX_[1138] * vX_[78] + (vX_[1043] * vX_[76] + vX_[1145] * vX_[62]) * 8.81e-05 + (vX_[2656] * vX_[76] + vX_[1138] * vX_[79]) * -8.81e-05 + vX_[1148] * vX_[47] + vX_[1147] * vX_[60] + vX_[2961] * vX_[45] + vX_[1045] * vX_[56] + vX_[3723] * vX_[6] + vX_[3204] * vX_[48] + vX_[806] * vX_[54] + vX_[1045] * vX_[74] + vX_[1179] * vX_[83] + vX_[693] * vX_[49] + (vX_[901] * vX_[2] + vX_[1150] * vX_[67] + vX_[3361] * vX_[66] + (0 - vX_[145]) * 0.414812462825713 + (0 - (vX_[1148] * vX_[62] + vX_[1147] * vX_[76]) + vX_[3734] + vX_[3361] * vX_[58]) * 0.881 + (0 - vX_[593]) * -0.00185880198235362 + (0 - (vX_[806] * vX_[76] + vX_[1045] * vX_[79] + (vX_[1045] * vX_[62] + vX_[3723] * vX_[76]) * 2.)) * -8.81e-05 + vX_[901] * -0.0004405 + vX_[3361] * -0.2209548) * -0.35 + vX_[135] * vX_[835] + vX_[641] * vX_[824] + vX_[139] * vX_[829] + vX_[807] * vX_[826] + (vX_[506] * vX_[856] + vX_[135] * vX_[818]) * 0.35) * vX_[195] + (vX_[919] * vX_[854] + vX_[1029] * vX_[851] + vX_[3531] * vX_[82] + vX_[708] * -0.00185880198235362 + vX_[343] * -7.4114911576828e-06 + vX_[152] * vX_[46] + vX_[2656] * vX_[78] + vX_[1145] * vX_[36] + (vX_[1043] * vX_[79] + vX_[1145] * vX_[76]) * -8.81e-05 + vX_[1148] * vX_[60] + vX_[2961] * vX_[48] + vX_[1045] * vX_[6] + vX_[727] * vX_[74] + vX_[1179] * vX_[49] + vX_[693] * vX_[10] + vX_[641] * vX_[835] + vX_[807] * vX_[829] - (vX_[3413] * vX_[856] + vX_[135] * vX_[824]) + (vX_[506] * vX_[854] + vX_[159] * vX_[57] + vX_[625] * vX_[2] + vX_[145] * -0.00185880198235362 + vX_[593] * 0.880992588508842 + (0 - (vX_[1148] * vX_[76] + vX_[1147] * vX_[79] + vX_[639] + vX_[901] * vX_[58] + vX_[625] * vX_[77])) * 0.881 + (0 - (vX_[727] * vX_[62] + vX_[1045] * vX_[76]) + (vX_[1045] * vX_[76] + vX_[3723] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[901]) * -0.1104774 + (0 - vX_[496]) * -0.000881 + vX_[641] * vX_[818]) * 0.35 - (vX_[1051] * vX_[852] + vX_[613] * vX_[81] + vX_[1027] * vX_[59] + vX_[1043] * vX_[37] + vX_[1138] * vX_[63] + (vX_[2656] * vX_[62] + vX_[1138] * vX_[76]) * 8.81e-05 + vX_[1147] * vX_[47] + vX_[3723] * vX_[56] + vX_[3204] * vX_[45] + vX_[1045] * vX_[54] + vX_[139] * vX_[826])) * vX_[3573];
+ vX_[672] = vX_[2897] + vX_[1281] * vX_[4] + vX_[672] * vX_[8] + vX_[1296] * vX_[869];
+ vX_[1158] = vX_[2897] + vX_[3193] * vX_[65] + vX_[1158] * vX_[71] + vX_[3350] * vX_[870];
+ vX_[2897] = vX_[672] - vX_[1158];
+ vX_[3208] = vX_[1281] * vX_[65] + vX_[3193] * vX_[4] + vX_[1065] * vX_[71] + vX_[3208] * vX_[8] + vX_[1296] * vX_[870] + vX_[3350] * vX_[869];
+ vX_[1065] = vX_[2897] * vX_[76] + vX_[3208] * vX_[79];
+ vX_[3193] = vX_[2897] * vX_[62] + vX_[3208] * vX_[76];
+ vX_[672] = 0 - vX_[672];
+ vX_[1281] = 0 - vX_[3208];
+ vX_[1274] = vX_[1056] * vX_[4] + vX_[2934] * vX_[65] + vX_[1274] * vX_[8] + vX_[1296] * vX_[866] + vX_[1161] * vX_[869];
+ vX_[625] = 0 - vX_[1274];
+ vX_[2762] = vX_[1056] * vX_[65] + vX_[2934] * vX_[9] + vX_[2762] * vX_[8] + vX_[1296] * vX_[867] + vX_[1185] * vX_[869];
+ vX_[1056] = 0 - vX_[2762];
+ vX_[2934] = (vX_[672] * vX_[26] + vX_[1281] * vX_[44] + vX_[625] * vX_[32] + vX_[1056] * vX_[69]) * 1 / vX_[41];
+ vX_[672] = vX_[1932] * vX_[847] + vX_[672] * vX_[25] + vX_[2934];
+ vX_[1158] = 0 - vX_[1158];
+ vX_[1144] = vX_[1310] * vX_[4] + vX_[2865] * vX_[65] + vX_[1144] * vX_[71] + vX_[3350] * vX_[866] + vX_[1161] * vX_[870];
+ vX_[727] = 0 - vX_[1144];
+ vX_[1266] = vX_[1310] * vX_[65] + vX_[2865] * vX_[9] + vX_[1266] * vX_[71] + vX_[3350] * vX_[867] + vX_[1185] * vX_[870];
+ vX_[1310] = 0 - vX_[1266];
+ vX_[2865] = (vX_[1158] * vX_[44] + vX_[727] * vX_[32] + vX_[1310] * vX_[69]) * 1 / vX_[41];
+ vX_[1158] = vX_[3589] * vX_[847] + vX_[1281] * vX_[25] + vX_[1158] * vX_[14] + vX_[2865];
+ vX_[1277] = vX_[1142] + vX_[3312] * vX_[8] + vX_[1277] * vX_[71] * 2. + vX_[1178] * vX_[867] - vX_[1158];
+ vX_[1276] = 0 - (vX_[2316] + vX_[1276] * vX_[71] + vX_[3517] * vX_[8] * 2. + vX_[1178] * vX_[866]) + vX_[672];
+ vX_[3517] = vX_[3517] + vX_[1161] * vX_[866];
+ vX_[673] = vX_[673] + vX_[1185] * vX_[867];
+ vX_[2316] = vX_[3517] - vX_[673];
+ vX_[1178] = 0 - vX_[3517];
+ vX_[3312] = vX_[3312] + vX_[1161] * vX_[867] + vX_[1185] * vX_[866];
+ vX_[1142] = 0 - vX_[3312];
+ vX_[1281] = (vX_[1178] * vX_[32] + vX_[1142] * vX_[69]) * 1 / vX_[41];
+ vX_[1178] = vX_[711] * vX_[847] + vX_[625] * vX_[25] + vX_[727] * vX_[14] + vX_[1178] * vX_[35] + vX_[1281];
+ vX_[727] = 0 - vX_[673];
+ vX_[625] = vX_[727] * vX_[69] * 1 / vX_[41];
+ vX_[727] = vX_[1139] * vX_[847] + vX_[1056] * vX_[25] + vX_[1310] * vX_[14] + vX_[1142] * vX_[35] + vX_[727] * vX_[1] + vX_[625];
+ vX_[1142] = 0 - vX_[727];
+ vX_[1310] = vX_[2316] * vX_[76] + vX_[3312] * vX_[79];
+ vX_[1056] = vX_[2316] * vX_[62] + vX_[3312] * vX_[76];
+ vX_[593] = vX_[1310] * vX_[62] + vX_[1056] * vX_[76];
+ vX_[639] = vX_[673] + vX_[1310] * vX_[76];
+ vX_[145] = vX_[673] + vX_[1056] * vX_[62];
+ vX_[625] = vX_[3517] + vX_[673] + 0 - vX_[1932] * vX_[871] - vX_[3589] * vX_[825] - vX_[1180] * vX_[864] + vX_[1180] * vX_[847] - vX_[711] * vX_[860] - vX_[1139] * vX_[857] - vX_[2934] * vX_[25] - vX_[2865] * vX_[14] - vX_[1281] * vX_[35] - vX_[625] * vX_[1] - vX_[639] - vX_[145];
+ vX_[1281] = 0 - vX_[625];
+ vX_[673] = vX_[672] * vX_[76] + vX_[1158] * vX_[79];
+ vX_[3517] = vX_[673] + vX_[1281] * vX_[58];
+ vX_[2865] = vX_[672] * vX_[62] + vX_[1158] * vX_[76];
+ vX_[2934] = vX_[2865] + vX_[625] * vX_[77];
+ vX_[1139] = 0 - vX_[727];
+ vX_[711] = 0 - vX_[145];
+ jac[632] = 0 - (vX_[1296] * vX_[856] + vX_[3350] * vX_[854] + vX_[1161] * vX_[852] + vX_[1185] * vX_[851] + vX_[2897] * vX_[81] + vX_[3208] * vX_[82] + vX_[1065] * -0.466187537174287 + vX_[3193] * -0.00185880198235362 + vX_[672] * vX_[59] + vX_[1158] * vX_[46] + vX_[1144] * vX_[36] + vX_[2762] * vX_[63] + vX_[1274] * vX_[37] + vX_[1266] * vX_[78] + (vX_[1144] * vX_[76] + vX_[1274] * vX_[62]) * 8.81e-05 + (vX_[2762] * vX_[76] + vX_[1266] * vX_[79]) * -8.81e-05 + vX_[1277] * vX_[47] + vX_[1276] * vX_[60] + vX_[2316] * vX_[45] + vX_[1178] * vX_[56] + vX_[727] * vX_[6] + vX_[3312] * vX_[48] + vX_[1142] * vX_[54] + vX_[1178] * vX_[74] + vX_[1310] * vX_[83] + vX_[1056] * vX_[49] + (vX_[593] * vX_[2] + vX_[1281] * vX_[67] + vX_[639] * vX_[66] + (0 - vX_[3517]) * 0.414812462825713 + (0 - (vX_[1277] * vX_[62] + vX_[1276] * vX_[76]) + vX_[673] + vX_[639] * vX_[58]) * 0.881 + (0 - vX_[2934]) * -0.00185880198235362 + (0 - (vX_[1142] * vX_[76] + vX_[1178] * vX_[79] + (vX_[1178] * vX_[62] + vX_[727] * vX_[76]) * 2.)) * -8.81e-05 + vX_[593] * -0.0004405 + vX_[639] * -0.2209548) * -0.35 + vX_[906] * vX_[835] + vX_[1140] * vX_[824] + vX_[992] * vX_[829] + vX_[1141] * vX_[826] + (vX_[1100] * vX_[856] + vX_[906] * vX_[818]) * 0.35) * vX_[195] + (vX_[1296] * vX_[854] + vX_[1161] * vX_[851] + vX_[2897] * vX_[82] + vX_[1065] * -0.00185880198235362 + vX_[3193] * -7.4114911576828e-06 + vX_[672] * vX_[46] + vX_[2762] * vX_[78] + vX_[1274] * vX_[36] + (vX_[1144] * vX_[79] + vX_[1274] * vX_[76]) * -8.81e-05 + vX_[1277] * vX_[60] + vX_[2316] * vX_[48] + vX_[1178] * vX_[6] + vX_[1139] * vX_[74] + vX_[1310] * vX_[49] + vX_[1056] * vX_[10] + vX_[1140] * vX_[835] + vX_[1141] * vX_[829] - (vX_[3350] * vX_[856] + vX_[906] * vX_[824]) + (vX_[1100] * vX_[854] + vX_[625] * vX_[57] + vX_[711] * vX_[2] + vX_[3517] * -0.00185880198235362 + vX_[2934] * 0.880992588508842 + (0 - (vX_[1277] * vX_[76] + vX_[1276] * vX_[79] + vX_[2865] + vX_[593] * vX_[58] + vX_[711] * vX_[77])) * 0.881 + (0 - (vX_[1139] * vX_[62] + vX_[1178] * vX_[76]) + (vX_[1178] * vX_[76] + vX_[727] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[593]) * -0.1104774 + (0 - vX_[145]) * -0.000881 + vX_[1140] * vX_[818]) * 0.35 - (vX_[1185] * vX_[852] + vX_[3208] * vX_[81] + vX_[1158] * vX_[59] + vX_[1144] * vX_[37] + vX_[1266] * vX_[63] + (vX_[2762] * vX_[62] + vX_[1266] * vX_[76]) * 8.81e-05 + vX_[1276] * vX_[47] + vX_[727] * vX_[56] + vX_[3312] * vX_[45] + vX_[1178] * vX_[54] + vX_[992] * vX_[826])) * vX_[3573];
+ vX_[3448] = vX_[773] + vX_[1412] * vX_[4] + vX_[3448] * vX_[8] + vX_[2121] * vX_[869];
+ vX_[1289] = vX_[773] + vX_[2470] * vX_[65] + vX_[1289] * vX_[71] + vX_[2136] * vX_[870];
+ vX_[773] = vX_[3448] - vX_[1289];
+ vX_[1671] = vX_[1412] * vX_[65] + vX_[2470] * vX_[4] + vX_[1154] * vX_[71] + vX_[1671] * vX_[8] + vX_[2121] * vX_[870] + vX_[2136] * vX_[869];
+ vX_[1154] = vX_[773] * vX_[76] + vX_[1671] * vX_[79];
+ vX_[2470] = vX_[773] * vX_[62] + vX_[1671] * vX_[76];
+ vX_[3448] = 0 - vX_[3448];
+ vX_[1412] = 0 - vX_[1671];
+ vX_[1404] = vX_[1273] * vX_[4] + vX_[2583] * vX_[65] + vX_[1404] * vX_[8] + vX_[2121] * vX_[866] + vX_[1292] * vX_[869];
+ vX_[711] = 0 - vX_[1404];
+ vX_[1550] = vX_[1273] * vX_[65] + vX_[2583] * vX_[9] + vX_[1550] * vX_[8] + vX_[2121] * vX_[867] + vX_[1316] * vX_[869];
+ vX_[1273] = 0 - vX_[1550];
+ vX_[2583] = (vX_[3448] * vX_[26] + vX_[1412] * vX_[44] + vX_[711] * vX_[32] + vX_[1273] * vX_[69]) * 1 / vX_[41];
+ vX_[3448] = vX_[1081] * vX_[847] + vX_[3448] * vX_[25] + vX_[2583];
+ vX_[1289] = 0 - vX_[1289];
+ vX_[1320] = vX_[1441] * vX_[4] + vX_[3357] * vX_[65] + vX_[1320] * vX_[71] + vX_[2136] * vX_[866] + vX_[1292] * vX_[870];
+ vX_[1139] = 0 - vX_[1320];
+ vX_[1395] = vX_[1441] * vX_[65] + vX_[3357] * vX_[9] + vX_[1395] * vX_[71] + vX_[2136] * vX_[867] + vX_[1316] * vX_[870];
+ vX_[1441] = 0 - vX_[1395];
+ vX_[3357] = (vX_[1289] * vX_[44] + vX_[1139] * vX_[32] + vX_[1441] * vX_[69]) * 1 / vX_[41];
+ vX_[1289] = vX_[1724] * vX_[847] + vX_[1412] * vX_[25] + vX_[1289] * vX_[14] + vX_[3357];
+ vX_[1407] = vX_[1270] + vX_[3488] * vX_[8] + vX_[1407] * vX_[71] * 2. + vX_[1309] * vX_[867] - vX_[1289];
+ vX_[1406] = 0 - (vX_[1863] + vX_[1406] * vX_[71] + vX_[3601] * vX_[8] * 2. + vX_[1309] * vX_[866]) + vX_[3448];
+ vX_[3601] = vX_[3601] + vX_[1292] * vX_[866];
+ vX_[521] = vX_[521] + vX_[1316] * vX_[867];
+ vX_[1863] = vX_[3601] - vX_[521];
+ vX_[1309] = 0 - vX_[3601];
+ vX_[3488] = vX_[3488] + vX_[1292] * vX_[867] + vX_[1316] * vX_[866];
+ vX_[1270] = 0 - vX_[3488];
+ vX_[1412] = (vX_[1309] * vX_[32] + vX_[1270] * vX_[69]) * 1 / vX_[41];
+ vX_[1309] = vX_[1171] * vX_[847] + vX_[711] * vX_[25] + vX_[1139] * vX_[14] + vX_[1309] * vX_[35] + vX_[1412];
+ vX_[1139] = 0 - vX_[521];
+ vX_[711] = vX_[1139] * vX_[69] * 1 / vX_[41];
+ vX_[1139] = vX_[1267] * vX_[847] + vX_[1273] * vX_[25] + vX_[1441] * vX_[14] + vX_[1270] * vX_[35] + vX_[1139] * vX_[1] + vX_[711];
+ vX_[1270] = 0 - vX_[1139];
+ vX_[1441] = vX_[1863] * vX_[76] + vX_[3488] * vX_[79];
+ vX_[1273] = vX_[1863] * vX_[62] + vX_[3488] * vX_[76];
+ vX_[2934] = vX_[1441] * vX_[62] + vX_[1273] * vX_[76];
+ vX_[2865] = vX_[521] + vX_[1441] * vX_[76];
+ vX_[3517] = vX_[521] + vX_[1273] * vX_[62];
+ vX_[711] = vX_[3601] + vX_[521] + 0 - vX_[1081] * vX_[871] - vX_[1724] * vX_[825] - vX_[1311] * vX_[864] + vX_[1311] * vX_[847] - vX_[1171] * vX_[860] - vX_[1267] * vX_[857] - vX_[2583] * vX_[25] - vX_[3357] * vX_[14] - vX_[1412] * vX_[35] - vX_[711] * vX_[1] - vX_[2865] - vX_[3517];
+ vX_[1412] = 0 - vX_[711];
+ vX_[521] = vX_[3448] * vX_[76] + vX_[1289] * vX_[79];
+ vX_[3601] = vX_[521] + vX_[1412] * vX_[58];
+ vX_[3357] = vX_[3448] * vX_[62] + vX_[1289] * vX_[76];
+ vX_[2583] = vX_[3357] + vX_[711] * vX_[77];
+ vX_[1267] = 0 - vX_[1139];
+ vX_[1171] = 0 - vX_[3517];
+ jac[633] = 0 - (vX_[2121] * vX_[856] + vX_[2136] * vX_[854] + vX_[1292] * vX_[852] + vX_[1316] * vX_[851] + vX_[773] * vX_[81] + vX_[1671] * vX_[82] + vX_[1154] * -0.466187537174287 + vX_[2470] * -0.00185880198235362 + vX_[3448] * vX_[59] + vX_[1289] * vX_[46] + vX_[1320] * vX_[36] + vX_[1550] * vX_[63] + vX_[1404] * vX_[37] + vX_[1395] * vX_[78] + (vX_[1320] * vX_[76] + vX_[1404] * vX_[62]) * 8.81e-05 + (vX_[1550] * vX_[76] + vX_[1395] * vX_[79]) * -8.81e-05 + vX_[1407] * vX_[47] + vX_[1406] * vX_[60] + vX_[1863] * vX_[45] + vX_[1309] * vX_[56] + vX_[1139] * vX_[6] + vX_[3488] * vX_[48] + vX_[1270] * vX_[54] + vX_[1309] * vX_[74] + vX_[1441] * vX_[83] + vX_[1273] * vX_[49] + (vX_[2934] * vX_[2] + vX_[1412] * vX_[67] + vX_[2865] * vX_[66] + (0 - vX_[3601]) * 0.414812462825713 + (0 - (vX_[1407] * vX_[62] + vX_[1406] * vX_[76]) + vX_[521] + vX_[2865] * vX_[58]) * 0.881 + (0 - vX_[2583]) * -0.00185880198235362 + (0 - (vX_[1270] * vX_[76] + vX_[1309] * vX_[79] + (vX_[1309] * vX_[62] + vX_[1139] * vX_[76]) * 2.)) * -8.81e-05 + vX_[2934] * -0.0004405 + vX_[2865] * -0.2209548) * -0.35 + vX_[502] * vX_[835] + vX_[1268] * vX_[824] + vX_[3657] * vX_[829] + vX_[1269] * vX_[826] + (vX_[1280] * vX_[856] + vX_[502] * vX_[818]) * 0.35) * vX_[195] + (vX_[2121] * vX_[854] + vX_[1292] * vX_[851] + vX_[773] * vX_[82] + vX_[1154] * -0.00185880198235362 + vX_[2470] * -7.4114911576828e-06 + vX_[3448] * vX_[46] + vX_[1550] * vX_[78] + vX_[1404] * vX_[36] + (vX_[1320] * vX_[79] + vX_[1404] * vX_[76]) * -8.81e-05 + vX_[1407] * vX_[60] + vX_[1863] * vX_[48] + vX_[1309] * vX_[6] + vX_[1267] * vX_[74] + vX_[1441] * vX_[49] + vX_[1273] * vX_[10] + vX_[1268] * vX_[835] + vX_[1269] * vX_[829] - (vX_[2136] * vX_[856] + vX_[502] * vX_[824]) + (vX_[1280] * vX_[854] + vX_[711] * vX_[57] + vX_[1171] * vX_[2] + vX_[3601] * -0.00185880198235362 + vX_[2583] * 0.880992588508842 + (0 - (vX_[1407] * vX_[76] + vX_[1406] * vX_[79] + vX_[3357] + vX_[2934] * vX_[58] + vX_[1171] * vX_[77])) * 0.881 + (0 - (vX_[1267] * vX_[62] + vX_[1309] * vX_[76]) + (vX_[1309] * vX_[76] + vX_[1139] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[2934]) * -0.1104774 + (0 - vX_[3517]) * -0.000881 + vX_[1268] * vX_[818]) * 0.35 - (vX_[1316] * vX_[852] + vX_[1671] * vX_[81] + vX_[1289] * vX_[59] + vX_[1320] * vX_[37] + vX_[1395] * vX_[63] + (vX_[1550] * vX_[62] + vX_[1395] * vX_[76]) * 8.81e-05 + vX_[1406] * vX_[47] + vX_[1139] * vX_[56] + vX_[3488] * vX_[45] + vX_[1309] * vX_[54] + vX_[3657] * vX_[826])) * vX_[3573];
+ vX_[1106] = vX_[3103] + vX_[1543] * vX_[4] + vX_[1106] * vX_[8] + vX_[2570] * vX_[869];
+ vX_[1420] = vX_[3103] + vX_[2960] * vX_[65] + vX_[1420] * vX_[71] + vX_[2368] * vX_[870];
+ vX_[3103] = vX_[1106] - vX_[1420];
+ vX_[1555] = vX_[1543] * vX_[65] + vX_[2960] * vX_[4] + vX_[1291] * vX_[71] + vX_[1555] * vX_[8] + vX_[2570] * vX_[870] + vX_[2368] * vX_[869];
+ vX_[1291] = vX_[3103] * vX_[76] + vX_[1555] * vX_[79];
+ vX_[2960] = vX_[3103] * vX_[62] + vX_[1555] * vX_[76];
+ vX_[1106] = 0 - vX_[1106];
+ vX_[1543] = 0 - vX_[1555];
+ vX_[1535] = vX_[1403] * vX_[4] + vX_[714] * vX_[65] + vX_[1535] * vX_[8] + vX_[2570] * vX_[866] + vX_[1423] * vX_[869];
+ vX_[1171] = 0 - vX_[1535];
+ vX_[2502] = vX_[1403] * vX_[65] + vX_[714] * vX_[9] + vX_[2502] * vX_[8] + vX_[2570] * vX_[867] + vX_[1447] * vX_[869];
+ vX_[1403] = 0 - vX_[2502];
+ vX_[714] = (vX_[1106] * vX_[26] + vX_[1543] * vX_[44] + vX_[1171] * vX_[32] + vX_[1403] * vX_[69]) * 1 / vX_[41];
+ vX_[1106] = vX_[564] * vX_[847] + vX_[1106] * vX_[25] + vX_[714];
+ vX_[1420] = 0 - vX_[1420];
+ vX_[1491] = vX_[1572] * vX_[4] + vX_[793] * vX_[65] + vX_[1491] * vX_[71] + vX_[2368] * vX_[866] + vX_[1423] * vX_[870];
+ vX_[1267] = 0 - vX_[1491];
+ vX_[1525] = vX_[1572] * vX_[65] + vX_[793] * vX_[9] + vX_[1525] * vX_[71] + vX_[2368] * vX_[867] + vX_[1447] * vX_[870];
+ vX_[1572] = 0 - vX_[1525];
+ vX_[793] = (vX_[1420] * vX_[44] + vX_[1267] * vX_[32] + vX_[1572] * vX_[69]) * 1 / vX_[41];
+ vX_[1420] = vX_[1714] * vX_[847] + vX_[1543] * vX_[25] + vX_[1420] * vX_[14] + vX_[793];
+ vX_[1538] = vX_[1399] + vX_[1244] * vX_[8] + vX_[1538] * vX_[71] * 2. + vX_[1440] * vX_[867] - vX_[1420];
+ vX_[1537] = 0 - (vX_[2129] + vX_[1537] * vX_[71] + vX_[1978] * vX_[8] * 2. + vX_[1440] * vX_[866]) + vX_[1106];
+ vX_[1978] = vX_[1978] + vX_[1423] * vX_[866];
+ vX_[163] = vX_[163] + vX_[1447] * vX_[867];
+ vX_[2129] = vX_[1978] - vX_[163];
+ vX_[1440] = 0 - vX_[1978];
+ vX_[1244] = vX_[1244] + vX_[1423] * vX_[867] + vX_[1447] * vX_[866];
+ vX_[1399] = 0 - vX_[1244];
+ vX_[1543] = (vX_[1440] * vX_[32] + vX_[1399] * vX_[69]) * 1 / vX_[41];
+ vX_[1440] = vX_[1272] * vX_[847] + vX_[1171] * vX_[25] + vX_[1267] * vX_[14] + vX_[1440] * vX_[35] + vX_[1543];
+ vX_[1267] = 0 - vX_[163];
+ vX_[1171] = vX_[1267] * vX_[69] * 1 / vX_[41];
+ vX_[1267] = vX_[1396] * vX_[847] + vX_[1403] * vX_[25] + vX_[1572] * vX_[14] + vX_[1399] * vX_[35] + vX_[1267] * vX_[1] + vX_[1171];
+ vX_[1399] = 0 - vX_[1267];
+ vX_[1572] = vX_[2129] * vX_[76] + vX_[1244] * vX_[79];
+ vX_[1403] = vX_[2129] * vX_[62] + vX_[1244] * vX_[76];
+ vX_[2583] = vX_[1572] * vX_[62] + vX_[1403] * vX_[76];
+ vX_[3357] = vX_[163] + vX_[1572] * vX_[76];
+ vX_[3601] = vX_[163] + vX_[1403] * vX_[62];
+ vX_[1171] = vX_[1978] + vX_[163] + 0 - vX_[564] * vX_[871] - vX_[1714] * vX_[825] - vX_[1442] * vX_[864] + vX_[1442] * vX_[847] - vX_[1272] * vX_[860] - vX_[1396] * vX_[857] - vX_[714] * vX_[25] - vX_[793] * vX_[14] - vX_[1543] * vX_[35] - vX_[1171] * vX_[1] - vX_[3357] - vX_[3601];
+ vX_[1543] = 0 - vX_[1171];
+ vX_[163] = vX_[1106] * vX_[76] + vX_[1420] * vX_[79];
+ vX_[1978] = vX_[163] + vX_[1543] * vX_[58];
+ vX_[793] = vX_[1106] * vX_[62] + vX_[1420] * vX_[76];
+ vX_[714] = vX_[793] + vX_[1171] * vX_[77];
+ vX_[1396] = 0 - vX_[1267];
+ vX_[1272] = 0 - vX_[3601];
+ jac[634] = 0 - (vX_[2570] * vX_[856] + vX_[2368] * vX_[854] + vX_[1423] * vX_[852] + vX_[1447] * vX_[851] + vX_[3103] * vX_[81] + vX_[1555] * vX_[82] + vX_[1291] * -0.466187537174287 + vX_[2960] * -0.00185880198235362 + vX_[1106] * vX_[59] + vX_[1420] * vX_[46] + vX_[1491] * vX_[36] + vX_[2502] * vX_[63] + vX_[1535] * vX_[37] + vX_[1525] * vX_[78] + (vX_[1491] * vX_[76] + vX_[1535] * vX_[62]) * 8.81e-05 + (vX_[2502] * vX_[76] + vX_[1525] * vX_[79]) * -8.81e-05 + vX_[1538] * vX_[47] + vX_[1537] * vX_[60] + vX_[2129] * vX_[45] + vX_[1440] * vX_[56] + vX_[1267] * vX_[6] + vX_[1244] * vX_[48] + vX_[1399] * vX_[54] + vX_[1440] * vX_[74] + vX_[1572] * vX_[83] + vX_[1403] * vX_[49] + (vX_[2583] * vX_[2] + vX_[1543] * vX_[67] + vX_[3357] * vX_[66] + (0 - vX_[1978]) * 0.414812462825713 + (0 - (vX_[1538] * vX_[62] + vX_[1537] * vX_[76]) + vX_[163] + vX_[3357] * vX_[58]) * 0.881 + (0 - vX_[714]) * -0.00185880198235362 + (0 - (vX_[1399] * vX_[76] + vX_[1440] * vX_[79] + (vX_[1440] * vX_[62] + vX_[1267] * vX_[76]) * 2.)) * -8.81e-05 + vX_[2583] * -0.0004405 + vX_[3357] * -0.2209548) * -0.35 + vX_[2818] * vX_[835] + vX_[1397] * vX_[824] + vX_[3147] * vX_[829] + vX_[1398] * vX_[826] + (vX_[1411] * vX_[856] + vX_[2818] * vX_[818]) * 0.35) * vX_[195] + (vX_[2570] * vX_[854] + vX_[1423] * vX_[851] + vX_[3103] * vX_[82] + vX_[1291] * -0.00185880198235362 + vX_[2960] * -7.4114911576828e-06 + vX_[1106] * vX_[46] + vX_[2502] * vX_[78] + vX_[1535] * vX_[36] + (vX_[1491] * vX_[79] + vX_[1535] * vX_[76]) * -8.81e-05 + vX_[1538] * vX_[60] + vX_[2129] * vX_[48] + vX_[1440] * vX_[6] + vX_[1396] * vX_[74] + vX_[1572] * vX_[49] + vX_[1403] * vX_[10] + vX_[1397] * vX_[835] + vX_[1398] * vX_[829] - (vX_[2368] * vX_[856] + vX_[2818] * vX_[824]) + (vX_[1411] * vX_[854] + vX_[1171] * vX_[57] + vX_[1272] * vX_[2] + vX_[1978] * -0.00185880198235362 + vX_[714] * 0.880992588508842 + (0 - (vX_[1538] * vX_[76] + vX_[1537] * vX_[79] + vX_[793] + vX_[2583] * vX_[58] + vX_[1272] * vX_[77])) * 0.881 + (0 - (vX_[1396] * vX_[62] + vX_[1440] * vX_[76]) + (vX_[1440] * vX_[76] + vX_[1267] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[2583]) * -0.1104774 + (0 - vX_[3601]) * -0.000881 + vX_[1397] * vX_[818]) * 0.35 - (vX_[1447] * vX_[852] + vX_[1555] * vX_[81] + vX_[1420] * vX_[59] + vX_[1491] * vX_[37] + vX_[1525] * vX_[63] + (vX_[2502] * vX_[62] + vX_[1525] * vX_[76]) * 8.81e-05 + vX_[1537] * vX_[47] + vX_[1267] * vX_[56] + vX_[1244] * vX_[45] + vX_[1440] * vX_[54] + vX_[3147] * vX_[826])) * vX_[3573];
+ vX_[2879] = vX_[323] + vX_[1674] * vX_[4] + vX_[2879] * vX_[8] + vX_[388] * vX_[869];
+ vX_[1551] = vX_[323] + vX_[985] * vX_[65] + vX_[1551] * vX_[71] + vX_[2542] * vX_[870];
+ vX_[323] = vX_[2879] - vX_[1551];
+ vX_[443] = vX_[1674] * vX_[65] + vX_[985] * vX_[4] + vX_[1402] * vX_[71] + vX_[443] * vX_[8] + vX_[388] * vX_[870] + vX_[2542] * vX_[869];
+ vX_[1402] = vX_[323] * vX_[76] + vX_[443] * vX_[79];
+ vX_[985] = vX_[323] * vX_[62] + vX_[443] * vX_[76];
+ vX_[2879] = 0 - vX_[2879];
+ vX_[1674] = 0 - vX_[443];
+ vX_[1666] = vX_[1534] * vX_[4] + vX_[1557] * vX_[65] + vX_[1666] * vX_[8] + vX_[388] * vX_[866] + vX_[1554] * vX_[869];
+ vX_[1272] = 0 - vX_[1666];
+ vX_[3501] = vX_[1534] * vX_[65] + vX_[1557] * vX_[9] + vX_[3501] * vX_[8] + vX_[388] * vX_[867] + vX_[1578] * vX_[869];
+ vX_[1534] = 0 - vX_[3501];
+ vX_[1557] = (vX_[2879] * vX_[26] + vX_[1674] * vX_[44] + vX_[1272] * vX_[32] + vX_[1534] * vX_[69]) * 1 / vX_[41];
+ vX_[2879] = vX_[1945] * vX_[847] + vX_[2879] * vX_[25] + vX_[1557];
+ vX_[1551] = 0 - vX_[1551];
+ vX_[1622] = vX_[1703] * vX_[4] + vX_[335] * vX_[65] + vX_[1622] * vX_[71] + vX_[2542] * vX_[866] + vX_[1554] * vX_[870];
+ vX_[1396] = 0 - vX_[1622];
+ vX_[1656] = vX_[1703] * vX_[65] + vX_[335] * vX_[9] + vX_[1656] * vX_[71] + vX_[2542] * vX_[867] + vX_[1578] * vX_[870];
+ vX_[1703] = 0 - vX_[1656];
+ vX_[335] = (vX_[1551] * vX_[44] + vX_[1396] * vX_[32] + vX_[1703] * vX_[69]) * 1 / vX_[41];
+ vX_[1551] = vX_[3619] * vX_[847] + vX_[1674] * vX_[25] + vX_[1551] * vX_[14] + vX_[335];
+ vX_[1669] = vX_[1530] + vX_[309] * vX_[8] + vX_[1669] * vX_[71] * 2. + vX_[1571] * vX_[867] - vX_[1551];
+ vX_[1668] = 0 - (vX_[294] + vX_[1668] * vX_[71] + vX_[2963] * vX_[8] * 2. + vX_[1571] * vX_[866]) + vX_[2879];
+ vX_[2963] = vX_[2963] + vX_[1554] * vX_[866];
+ vX_[1986] = vX_[1986] + vX_[1578] * vX_[867];
+ vX_[294] = vX_[2963] - vX_[1986];
+ vX_[1571] = 0 - vX_[2963];
+ vX_[309] = vX_[309] + vX_[1554] * vX_[867] + vX_[1578] * vX_[866];
+ vX_[1530] = 0 - vX_[309];
+ vX_[1674] = (vX_[1571] * vX_[32] + vX_[1530] * vX_[69]) * 1 / vX_[41];
+ vX_[1571] = vX_[1463] * vX_[847] + vX_[1272] * vX_[25] + vX_[1396] * vX_[14] + vX_[1571] * vX_[35] + vX_[1674];
+ vX_[1396] = 0 - vX_[1986];
+ vX_[1272] = vX_[1396] * vX_[69] * 1 / vX_[41];
+ vX_[1396] = vX_[1526] * vX_[847] + vX_[1534] * vX_[25] + vX_[1703] * vX_[14] + vX_[1530] * vX_[35] + vX_[1396] * vX_[1] + vX_[1272];
+ vX_[1530] = 0 - vX_[1396];
+ vX_[1703] = vX_[294] * vX_[76] + vX_[309] * vX_[79];
+ vX_[1534] = vX_[294] * vX_[62] + vX_[309] * vX_[76];
+ vX_[714] = vX_[1703] * vX_[62] + vX_[1534] * vX_[76];
+ vX_[793] = vX_[1986] + vX_[1703] * vX_[76];
+ vX_[1978] = vX_[1986] + vX_[1534] * vX_[62];
+ vX_[1272] = vX_[2963] + vX_[1986] + 0 - vX_[1945] * vX_[871] - vX_[3619] * vX_[825] - vX_[1573] * vX_[864] + vX_[1573] * vX_[847] - vX_[1463] * vX_[860] - vX_[1526] * vX_[857] - vX_[1557] * vX_[25] - vX_[335] * vX_[14] - vX_[1674] * vX_[35] - vX_[1272] * vX_[1] - vX_[793] - vX_[1978];
+ vX_[1674] = 0 - vX_[1272];
+ vX_[1986] = vX_[2879] * vX_[76] + vX_[1551] * vX_[79];
+ vX_[2963] = vX_[1986] + vX_[1674] * vX_[58];
+ vX_[335] = vX_[2879] * vX_[62] + vX_[1551] * vX_[76];
+ vX_[1557] = vX_[335] + vX_[1272] * vX_[77];
+ vX_[1526] = 0 - vX_[1396];
+ vX_[1463] = 0 - vX_[1978];
+ jac[635] = 0 - (vX_[388] * vX_[856] + vX_[2542] * vX_[854] + vX_[1554] * vX_[852] + vX_[1578] * vX_[851] + vX_[323] * vX_[81] + vX_[443] * vX_[82] + vX_[1402] * -0.466187537174287 + vX_[985] * -0.00185880198235362 + vX_[2879] * vX_[59] + vX_[1551] * vX_[46] + vX_[1622] * vX_[36] + vX_[3501] * vX_[63] + vX_[1666] * vX_[37] + vX_[1656] * vX_[78] + (vX_[1622] * vX_[76] + vX_[1666] * vX_[62]) * 8.81e-05 + (vX_[3501] * vX_[76] + vX_[1656] * vX_[79]) * -8.81e-05 + vX_[1669] * vX_[47] + vX_[1668] * vX_[60] + vX_[294] * vX_[45] + vX_[1571] * vX_[56] + vX_[1396] * vX_[6] + vX_[309] * vX_[48] + vX_[1530] * vX_[54] + vX_[1571] * vX_[74] + vX_[1703] * vX_[83] + vX_[1534] * vX_[49] + (vX_[714] * vX_[2] + vX_[1674] * vX_[67] + vX_[793] * vX_[66] + (0 - vX_[2963]) * 0.414812462825713 + (0 - (vX_[1669] * vX_[62] + vX_[1668] * vX_[76]) + vX_[1986] + vX_[793] * vX_[58]) * 0.881 + (0 - vX_[1557]) * -0.00185880198235362 + (0 - (vX_[1530] * vX_[76] + vX_[1571] * vX_[79] + (vX_[1571] * vX_[62] + vX_[1396] * vX_[76]) * 2.)) * -8.81e-05 + vX_[714] * -0.0004405 + vX_[793] * -0.2209548) * -0.35 + vX_[2526] * vX_[835] + vX_[1527] * vX_[824] + vX_[2747] * vX_[829] + vX_[1529] * vX_[826] + (vX_[1542] * vX_[856] + vX_[2526] * vX_[818]) * 0.35) * vX_[195] + (vX_[388] * vX_[854] + vX_[1554] * vX_[851] + vX_[323] * vX_[82] + vX_[1402] * -0.00185880198235362 + vX_[985] * -7.4114911576828e-06 + vX_[2879] * vX_[46] + vX_[3501] * vX_[78] + vX_[1666] * vX_[36] + (vX_[1622] * vX_[79] + vX_[1666] * vX_[76]) * -8.81e-05 + vX_[1669] * vX_[60] + vX_[294] * vX_[48] + vX_[1571] * vX_[6] + vX_[1526] * vX_[74] + vX_[1703] * vX_[49] + vX_[1534] * vX_[10] + vX_[1527] * vX_[835] + vX_[1529] * vX_[829] - (vX_[2542] * vX_[856] + vX_[2526] * vX_[824]) + (vX_[1542] * vX_[854] + vX_[1272] * vX_[57] + vX_[1463] * vX_[2] + vX_[2963] * -0.00185880198235362 + vX_[1557] * 0.880992588508842 + (0 - (vX_[1669] * vX_[76] + vX_[1668] * vX_[79] + vX_[335] + vX_[714] * vX_[58] + vX_[1463] * vX_[77])) * 0.881 + (0 - (vX_[1526] * vX_[62] + vX_[1571] * vX_[76]) + (vX_[1571] * vX_[76] + vX_[1396] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[714]) * -0.1104774 + (0 - vX_[1978]) * -0.000881 + vX_[1527] * vX_[818]) * 0.35 - (vX_[1578] * vX_[852] + vX_[443] * vX_[81] + vX_[1551] * vX_[59] + vX_[1622] * vX_[37] + vX_[1656] * vX_[63] + (vX_[3501] * vX_[62] + vX_[1656] * vX_[76]) * 8.81e-05 + vX_[1668] * vX_[47] + vX_[1396] * vX_[56] + vX_[309] * vX_[45] + vX_[1571] * vX_[54] + vX_[2747] * vX_[826])) * vX_[3573];
+ vX_[281] = vX_[3541] + vX_[1823] * vX_[4] + vX_[281] * vX_[8] + vX_[2204] * vX_[869];
+ vX_[1682] = vX_[3541] + vX_[469] * vX_[65] + vX_[1682] * vX_[71] + vX_[1405] * vX_[870];
+ vX_[3541] = vX_[281] - vX_[1682];
+ vX_[653] = vX_[1823] * vX_[65] + vX_[469] * vX_[4] + vX_[1533] * vX_[71] + vX_[653] * vX_[8] + vX_[2204] * vX_[870] + vX_[1405] * vX_[869];
+ vX_[1533] = vX_[3541] * vX_[76] + vX_[653] * vX_[79];
+ vX_[469] = vX_[3541] * vX_[62] + vX_[653] * vX_[76];
+ vX_[281] = 0 - vX_[281];
+ vX_[1823] = 0 - vX_[653];
+ vX_[1818] = vX_[1665] * vX_[4] + vX_[314] * vX_[65] + vX_[1818] * vX_[8] + vX_[2204] * vX_[866] + vX_[1685] * vX_[869];
+ vX_[1463] = 0 - vX_[1818];
+ vX_[3637] = vX_[1665] * vX_[65] + vX_[314] * vX_[9] + vX_[3637] * vX_[8] + vX_[2204] * vX_[867] + vX_[1709] * vX_[869];
+ vX_[1665] = 0 - vX_[3637];
+ vX_[314] = (vX_[281] * vX_[26] + vX_[1823] * vX_[44] + vX_[1463] * vX_[32] + vX_[1665] * vX_[69]) * 1 / vX_[41];
+ vX_[281] = vX_[1731] * vX_[847] + vX_[281] * vX_[25] + vX_[314];
+ vX_[1682] = 0 - vX_[1682];
+ vX_[1591] = vX_[1850] * vX_[4] + vX_[1737] * vX_[65] + vX_[1591] * vX_[71] + vX_[1405] * vX_[866] + vX_[1685] * vX_[870];
+ vX_[1526] = 0 - vX_[1591];
+ vX_[1811] = vX_[1850] * vX_[65] + vX_[1737] * vX_[9] + vX_[1811] * vX_[71] + vX_[1405] * vX_[867] + vX_[1709] * vX_[870];
+ vX_[1850] = 0 - vX_[1811];
+ vX_[1737] = (vX_[1682] * vX_[44] + vX_[1526] * vX_[32] + vX_[1850] * vX_[69]) * 1 / vX_[41];
+ vX_[1682] = vX_[1293] * vX_[847] + vX_[1823] * vX_[25] + vX_[1682] * vX_[14] + vX_[1737];
+ vX_[1821] = vX_[1661] + vX_[345] * vX_[8] + vX_[1821] * vX_[71] * 2. + vX_[1702] * vX_[867] - vX_[1682];
+ vX_[1820] = 0 - (vX_[3618] + vX_[1820] * vX_[71] + vX_[3485] * vX_[8] * 2. + vX_[1702] * vX_[866]) + vX_[281];
+ vX_[3485] = vX_[3485] + vX_[1685] * vX_[866];
+ vX_[516] = vX_[516] + vX_[1709] * vX_[867];
+ vX_[3618] = vX_[3485] - vX_[516];
+ vX_[1702] = 0 - vX_[3485];
+ vX_[345] = vX_[345] + vX_[1685] * vX_[867] + vX_[1709] * vX_[866];
+ vX_[1661] = 0 - vX_[345];
+ vX_[1823] = (vX_[1702] * vX_[32] + vX_[1661] * vX_[69]) * 1 / vX_[41];
+ vX_[1702] = vX_[1594] * vX_[847] + vX_[1463] * vX_[25] + vX_[1526] * vX_[14] + vX_[1702] * vX_[35] + vX_[1823];
+ vX_[1526] = 0 - vX_[516];
+ vX_[1463] = vX_[1526] * vX_[69] * 1 / vX_[41];
+ vX_[1526] = vX_[1657] * vX_[847] + vX_[1665] * vX_[25] + vX_[1850] * vX_[14] + vX_[1661] * vX_[35] + vX_[1526] * vX_[1] + vX_[1463];
+ vX_[1661] = 0 - vX_[1526];
+ vX_[1850] = vX_[3618] * vX_[76] + vX_[345] * vX_[79];
+ vX_[1665] = vX_[3618] * vX_[62] + vX_[345] * vX_[76];
+ vX_[1557] = vX_[1850] * vX_[62] + vX_[1665] * vX_[76];
+ vX_[335] = vX_[516] + vX_[1850] * vX_[76];
+ vX_[2963] = vX_[516] + vX_[1665] * vX_[62];
+ vX_[1463] = vX_[3485] + vX_[516] + 0 - vX_[1731] * vX_[871] - vX_[1293] * vX_[825] - vX_[1704] * vX_[864] + vX_[1704] * vX_[847] - vX_[1594] * vX_[860] - vX_[1657] * vX_[857] - vX_[314] * vX_[25] - vX_[1737] * vX_[14] - vX_[1823] * vX_[35] - vX_[1463] * vX_[1] - vX_[335] - vX_[2963];
+ vX_[1823] = 0 - vX_[1463];
+ vX_[516] = vX_[281] * vX_[76] + vX_[1682] * vX_[79];
+ vX_[3485] = vX_[516] + vX_[1823] * vX_[58];
+ vX_[1737] = vX_[281] * vX_[62] + vX_[1682] * vX_[76];
+ vX_[314] = vX_[1737] + vX_[1463] * vX_[77];
+ vX_[1657] = 0 - vX_[1526];
+ vX_[1594] = 0 - vX_[2963];
+ jac[636] = 0 - (vX_[2204] * vX_[856] + vX_[1405] * vX_[854] + vX_[1685] * vX_[852] + vX_[1709] * vX_[851] + vX_[3541] * vX_[81] + vX_[653] * vX_[82] + vX_[1533] * -0.466187537174287 + vX_[469] * -0.00185880198235362 + vX_[281] * vX_[59] + vX_[1682] * vX_[46] + vX_[1591] * vX_[36] + vX_[3637] * vX_[63] + vX_[1818] * vX_[37] + vX_[1811] * vX_[78] + (vX_[1591] * vX_[76] + vX_[1818] * vX_[62]) * 8.81e-05 + (vX_[3637] * vX_[76] + vX_[1811] * vX_[79]) * -8.81e-05 + vX_[1821] * vX_[47] + vX_[1820] * vX_[60] + vX_[3618] * vX_[45] + vX_[1702] * vX_[56] + vX_[1526] * vX_[6] + vX_[345] * vX_[48] + vX_[1661] * vX_[54] + vX_[1702] * vX_[74] + vX_[1850] * vX_[83] + vX_[1665] * vX_[49] + (vX_[1557] * vX_[2] + vX_[1823] * vX_[67] + vX_[335] * vX_[66] + (0 - vX_[3485]) * 0.414812462825713 + (0 - (vX_[1821] * vX_[62] + vX_[1820] * vX_[76]) + vX_[516] + vX_[335] * vX_[58]) * 0.881 + (0 - vX_[314]) * -0.00185880198235362 + (0 - (vX_[1661] * vX_[76] + vX_[1702] * vX_[79] + (vX_[1702] * vX_[62] + vX_[1526] * vX_[76]) * 2.)) * -8.81e-05 + vX_[1557] * -0.0004405 + vX_[335] * -0.2209548) * -0.35 + vX_[2459] * vX_[835] + vX_[1658] * vX_[824] + vX_[3436] * vX_[829] + vX_[1660] * vX_[826] + (vX_[1673] * vX_[856] + vX_[2459] * vX_[818]) * 0.35) * vX_[195] + (vX_[2204] * vX_[854] + vX_[1685] * vX_[851] + vX_[3541] * vX_[82] + vX_[1533] * -0.00185880198235362 + vX_[469] * -7.4114911576828e-06 + vX_[281] * vX_[46] + vX_[3637] * vX_[78] + vX_[1818] * vX_[36] + (vX_[1591] * vX_[79] + vX_[1818] * vX_[76]) * -8.81e-05 + vX_[1821] * vX_[60] + vX_[3618] * vX_[48] + vX_[1702] * vX_[6] + vX_[1657] * vX_[74] + vX_[1850] * vX_[49] + vX_[1665] * vX_[10] + vX_[1658] * vX_[835] + vX_[1660] * vX_[829] - (vX_[1405] * vX_[856] + vX_[2459] * vX_[824]) + (vX_[1673] * vX_[854] + vX_[1463] * vX_[57] + vX_[1594] * vX_[2] + vX_[3485] * -0.00185880198235362 + vX_[314] * 0.880992588508842 + (0 - (vX_[1821] * vX_[76] + vX_[1820] * vX_[79] + vX_[1737] + vX_[1557] * vX_[58] + vX_[1594] * vX_[77])) * 0.881 + (0 - (vX_[1657] * vX_[62] + vX_[1702] * vX_[76]) + (vX_[1702] * vX_[76] + vX_[1526] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[1557]) * -0.1104774 + (0 - vX_[2963]) * -0.000881 + vX_[1658] * vX_[818]) * 0.35 - (vX_[1709] * vX_[852] + vX_[653] * vX_[81] + vX_[1682] * vX_[59] + vX_[1591] * vX_[37] + vX_[1811] * vX_[63] + (vX_[3637] * vX_[62] + vX_[1811] * vX_[76]) * 8.81e-05 + vX_[1820] * vX_[47] + vX_[1526] * vX_[56] + vX_[345] * vX_[45] + vX_[1702] * vX_[54] + vX_[3436] * vX_[826])) * vX_[3573];
+ vX_[341] = vX_[2344] + vX_[1974] * vX_[4] + vX_[341] * vX_[8] + vX_[308] * vX_[869];
+ vX_[1831] = vX_[2344] + vX_[662] * vX_[65] + vX_[1831] * vX_[71] + vX_[293] * vX_[870];
+ vX_[2344] = vX_[341] - vX_[1831];
+ vX_[3094] = vX_[1974] * vX_[65] + vX_[662] * vX_[4] + vX_[1343] * vX_[71] + vX_[3094] * vX_[8] + vX_[308] * vX_[870] + vX_[293] * vX_[869];
+ vX_[1343] = vX_[2344] * vX_[76] + vX_[3094] * vX_[79];
+ vX_[662] = vX_[2344] * vX_[62] + vX_[3094] * vX_[76];
+ vX_[341] = 0 - vX_[341];
+ vX_[1974] = 0 - vX_[3094];
+ vX_[1969] = vX_[1569] * vX_[4] + vX_[1321] * vX_[65] + vX_[1969] * vX_[8] + vX_[308] * vX_[866] + vX_[1833] * vX_[869];
+ vX_[1594] = 0 - vX_[1969];
+ vX_[3198] = vX_[1569] * vX_[65] + vX_[1321] * vX_[9] + vX_[3198] * vX_[8] + vX_[308] * vX_[867] + vX_[1854] * vX_[869];
+ vX_[1569] = 0 - vX_[3198];
+ vX_[1321] = (vX_[341] * vX_[26] + vX_[1974] * vX_[44] + vX_[1594] * vX_[32] + vX_[1569] * vX_[69]) * 1 / vX_[41];
+ vX_[341] = vX_[2964] * vX_[847] + vX_[341] * vX_[25] + vX_[1321];
+ vX_[1831] = 0 - vX_[1831];
+ vX_[1886] = vX_[2001] * vX_[4] + vX_[2295] * vX_[65] + vX_[1886] * vX_[71] + vX_[293] * vX_[866] + vX_[1833] * vX_[870];
+ vX_[1657] = 0 - vX_[1886];
+ vX_[1962] = vX_[2001] * vX_[65] + vX_[2295] * vX_[9] + vX_[1962] * vX_[71] + vX_[293] * vX_[867] + vX_[1854] * vX_[870];
+ vX_[2001] = 0 - vX_[1962];
+ vX_[2295] = (vX_[1831] * vX_[44] + vX_[1657] * vX_[32] + vX_[2001] * vX_[69]) * 1 / vX_[41];
+ vX_[1831] = vX_[3092] * vX_[847] + vX_[1974] * vX_[25] + vX_[1831] * vX_[14] + vX_[2295];
+ vX_[1972] = vX_[1815] + vX_[736] * vX_[8] + vX_[1972] * vX_[71] * 2. + vX_[1849] * vX_[867] - vX_[1831];
+ vX_[1971] = 0 - (vX_[1870] + vX_[1971] * vX_[71] + vX_[3611] * vX_[8] * 2. + vX_[1849] * vX_[866]) + vX_[341];
+ vX_[3611] = vX_[3611] + vX_[1833] * vX_[866];
+ vX_[2830] = vX_[2830] + vX_[1854] * vX_[867];
+ vX_[1870] = vX_[3611] - vX_[2830];
+ vX_[1849] = 0 - vX_[3611];
+ vX_[736] = vX_[736] + vX_[1833] * vX_[867] + vX_[1854] * vX_[866];
+ vX_[1815] = 0 - vX_[736];
+ vX_[1974] = (vX_[1849] * vX_[32] + vX_[1815] * vX_[69]) * 1 / vX_[41];
+ vX_[1849] = vX_[1719] * vX_[847] + vX_[1594] * vX_[25] + vX_[1657] * vX_[14] + vX_[1849] * vX_[35] + vX_[1974];
+ vX_[1657] = 0 - vX_[2830];
+ vX_[1594] = vX_[1657] * vX_[69] * 1 / vX_[41];
+ vX_[1657] = vX_[1812] * vX_[847] + vX_[1569] * vX_[25] + vX_[2001] * vX_[14] + vX_[1815] * vX_[35] + vX_[1657] * vX_[1] + vX_[1594];
+ vX_[1815] = 0 - vX_[1657];
+ vX_[2001] = vX_[1870] * vX_[76] + vX_[736] * vX_[79];
+ vX_[1569] = vX_[1870] * vX_[62] + vX_[736] * vX_[76];
+ vX_[314] = vX_[2001] * vX_[62] + vX_[1569] * vX_[76];
+ vX_[1737] = vX_[2830] + vX_[2001] * vX_[76];
+ vX_[3485] = vX_[2830] + vX_[1569] * vX_[62];
+ vX_[1594] = vX_[3611] + vX_[2830] + 0 - vX_[2964] * vX_[871] - vX_[3092] * vX_[825] - vX_[1851] * vX_[864] + vX_[1851] * vX_[847] - vX_[1719] * vX_[860] - vX_[1812] * vX_[857] - vX_[1321] * vX_[25] - vX_[2295] * vX_[14] - vX_[1974] * vX_[35] - vX_[1594] * vX_[1] - vX_[1737] - vX_[3485];
+ vX_[1974] = 0 - vX_[1594];
+ vX_[2830] = vX_[341] * vX_[76] + vX_[1831] * vX_[79];
+ vX_[3611] = vX_[2830] + vX_[1974] * vX_[58];
+ vX_[2295] = vX_[341] * vX_[62] + vX_[1831] * vX_[76];
+ vX_[1321] = vX_[2295] + vX_[1594] * vX_[77];
+ vX_[1812] = 0 - vX_[1657];
+ vX_[1719] = 0 - vX_[3485];
+ jac[637] = 0 - (vX_[308] * vX_[856] + vX_[293] * vX_[854] + vX_[1833] * vX_[852] + vX_[1854] * vX_[851] + vX_[2344] * vX_[81] + vX_[3094] * vX_[82] + vX_[1343] * -0.466187537174287 + vX_[662] * -0.00185880198235362 + vX_[341] * vX_[59] + vX_[1831] * vX_[46] + vX_[1886] * vX_[36] + vX_[3198] * vX_[63] + vX_[1969] * vX_[37] + vX_[1962] * vX_[78] + (vX_[1886] * vX_[76] + vX_[1969] * vX_[62]) * 8.81e-05 + (vX_[3198] * vX_[76] + vX_[1962] * vX_[79]) * -8.81e-05 + vX_[1972] * vX_[47] + vX_[1971] * vX_[60] + vX_[1870] * vX_[45] + vX_[1849] * vX_[56] + vX_[1657] * vX_[6] + vX_[736] * vX_[48] + vX_[1815] * vX_[54] + vX_[1849] * vX_[74] + vX_[2001] * vX_[83] + vX_[1569] * vX_[49] + (vX_[314] * vX_[2] + vX_[1974] * vX_[67] + vX_[1737] * vX_[66] + (0 - vX_[3611]) * 0.414812462825713 + (0 - (vX_[1972] * vX_[62] + vX_[1971] * vX_[76]) + vX_[2830] + vX_[1737] * vX_[58]) * 0.881 + (0 - vX_[1321]) * -0.00185880198235362 + (0 - (vX_[1815] * vX_[76] + vX_[1849] * vX_[79] + (vX_[1849] * vX_[62] + vX_[1657] * vX_[76]) * 2.)) * -8.81e-05 + vX_[314] * -0.0004405 + vX_[1737] * -0.2209548) * -0.35 + vX_[2446] * vX_[835] + vX_[1813] * vX_[824] + vX_[2415] * vX_[829] + vX_[1814] * vX_[826] + (vX_[1697] * vX_[856] + vX_[2446] * vX_[818]) * 0.35) * vX_[195] + (vX_[308] * vX_[854] + vX_[1833] * vX_[851] + vX_[2344] * vX_[82] + vX_[1343] * -0.00185880198235362 + vX_[662] * -7.4114911576828e-06 + vX_[341] * vX_[46] + vX_[3198] * vX_[78] + vX_[1969] * vX_[36] + (vX_[1886] * vX_[79] + vX_[1969] * vX_[76]) * -8.81e-05 + vX_[1972] * vX_[60] + vX_[1870] * vX_[48] + vX_[1849] * vX_[6] + vX_[1812] * vX_[74] + vX_[2001] * vX_[49] + vX_[1569] * vX_[10] + vX_[1813] * vX_[835] + vX_[1814] * vX_[829] - (vX_[293] * vX_[856] + vX_[2446] * vX_[824]) + (vX_[1697] * vX_[854] + vX_[1594] * vX_[57] + vX_[1719] * vX_[2] + vX_[3611] * -0.00185880198235362 + vX_[1321] * 0.880992588508842 + (0 - (vX_[1972] * vX_[76] + vX_[1971] * vX_[79] + vX_[2295] + vX_[314] * vX_[58] + vX_[1719] * vX_[77])) * 0.881 + (0 - (vX_[1812] * vX_[62] + vX_[1849] * vX_[76]) + (vX_[1849] * vX_[76] + vX_[1657] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[314]) * -0.1104774 + (0 - vX_[3485]) * -0.000881 + vX_[1813] * vX_[818]) * 0.35 - (vX_[1854] * vX_[852] + vX_[3094] * vX_[81] + vX_[1831] * vX_[59] + vX_[1886] * vX_[37] + vX_[1962] * vX_[63] + (vX_[3198] * vX_[62] + vX_[1962] * vX_[76]) * 8.81e-05 + vX_[1971] * vX_[47] + vX_[1657] * vX_[56] + vX_[736] * vX_[45] + vX_[1849] * vX_[54] + vX_[2415] * vX_[826])) * vX_[3573];
+ vX_[2489] = vX_[2157] + vX_[2122] * vX_[4] + vX_[2489] * vX_[8] + vX_[1862] * vX_[869];
+ vX_[1982] = vX_[2157] + vX_[1689] * vX_[65] + vX_[1982] * vX_[71] + vX_[2536] * vX_[870];
+ vX_[2157] = vX_[2489] - vX_[1982];
+ vX_[1598] = vX_[2122] * vX_[65] + vX_[1689] * vX_[4] + vX_[1920] * vX_[71] + vX_[1598] * vX_[8] + vX_[1862] * vX_[870] + vX_[2536] * vX_[869];
+ vX_[1920] = vX_[2157] * vX_[76] + vX_[1598] * vX_[79];
+ vX_[1689] = vX_[2157] * vX_[62] + vX_[1598] * vX_[76];
+ vX_[2489] = 0 - vX_[2489];
+ vX_[2122] = 0 - vX_[1598];
+ vX_[2117] = vX_[1695] * vX_[4] + vX_[789] * vX_[65] + vX_[2117] * vX_[8] + vX_[1862] * vX_[866] + vX_[1984] * vX_[869];
+ vX_[1719] = 0 - vX_[2117];
+ vX_[2758] = vX_[1695] * vX_[65] + vX_[789] * vX_[9] + vX_[2758] * vX_[8] + vX_[1862] * vX_[867] + vX_[2005] * vX_[869];
+ vX_[1695] = 0 - vX_[2758];
+ vX_[789] = (vX_[2489] * vX_[26] + vX_[2122] * vX_[44] + vX_[1719] * vX_[32] + vX_[1695] * vX_[69]) * 1 / vX_[41];
+ vX_[2489] = vX_[2767] * vX_[847] + vX_[2489] * vX_[25] + vX_[789];
+ vX_[1982] = 0 - vX_[1982];
+ vX_[2036] = vX_[2149] * vX_[4] + vX_[1033] * vX_[65] + vX_[2036] * vX_[71] + vX_[2536] * vX_[866] + vX_[1984] * vX_[870];
+ vX_[1812] = 0 - vX_[2036];
+ vX_[2110] = vX_[2149] * vX_[65] + vX_[1033] * vX_[9] + vX_[2110] * vX_[71] + vX_[2536] * vX_[867] + vX_[2005] * vX_[870];
+ vX_[2149] = 0 - vX_[2110];
+ vX_[1033] = (vX_[1982] * vX_[44] + vX_[1812] * vX_[32] + vX_[2149] * vX_[69]) * 1 / vX_[41];
+ vX_[1982] = vX_[2081] * vX_[847] + vX_[2122] * vX_[25] + vX_[1982] * vX_[14] + vX_[1033];
+ vX_[2120] = vX_[1966] + vX_[2062] * vX_[8] + vX_[2120] * vX_[71] * 2. + vX_[2000] * vX_[867] - vX_[1982];
+ vX_[2119] = 0 - (vX_[1930] + vX_[2119] * vX_[71] + vX_[2971] * vX_[8] * 2. + vX_[2000] * vX_[866]) + vX_[2489];
+ vX_[2971] = vX_[2971] + vX_[1984] * vX_[866];
+ vX_[3086] = vX_[3086] + vX_[2005] * vX_[867];
+ vX_[1930] = vX_[2971] - vX_[3086];
+ vX_[2000] = 0 - vX_[2971];
+ vX_[2062] = vX_[2062] + vX_[1984] * vX_[867] + vX_[2005] * vX_[866];
+ vX_[1966] = 0 - vX_[2062];
+ vX_[2122] = (vX_[2000] * vX_[32] + vX_[1966] * vX_[69]) * 1 / vX_[41];
+ vX_[2000] = vX_[1838] * vX_[847] + vX_[1719] * vX_[25] + vX_[1812] * vX_[14] + vX_[2000] * vX_[35] + vX_[2122];
+ vX_[1812] = 0 - vX_[3086];
+ vX_[1719] = vX_[1812] * vX_[69] * 1 / vX_[41];
+ vX_[1812] = vX_[1963] * vX_[847] + vX_[1695] * vX_[25] + vX_[2149] * vX_[14] + vX_[1966] * vX_[35] + vX_[1812] * vX_[1] + vX_[1719];
+ vX_[1966] = 0 - vX_[1812];
+ vX_[2149] = vX_[1930] * vX_[76] + vX_[2062] * vX_[79];
+ vX_[1695] = vX_[1930] * vX_[62] + vX_[2062] * vX_[76];
+ vX_[1321] = vX_[2149] * vX_[62] + vX_[1695] * vX_[76];
+ vX_[2295] = vX_[3086] + vX_[2149] * vX_[76];
+ vX_[3611] = vX_[3086] + vX_[1695] * vX_[62];
+ vX_[1719] = vX_[2971] + vX_[3086] + 0 - vX_[2767] * vX_[871] - vX_[2081] * vX_[825] - vX_[2002] * vX_[864] + vX_[2002] * vX_[847] - vX_[1838] * vX_[860] - vX_[1963] * vX_[857] - vX_[789] * vX_[25] - vX_[1033] * vX_[14] - vX_[2122] * vX_[35] - vX_[1719] * vX_[1] - vX_[2295] - vX_[3611];
+ vX_[2122] = 0 - vX_[1719];
+ vX_[3086] = vX_[2489] * vX_[76] + vX_[1982] * vX_[79];
+ vX_[2971] = vX_[3086] + vX_[2122] * vX_[58];
+ vX_[1033] = vX_[2489] * vX_[62] + vX_[1982] * vX_[76];
+ vX_[789] = vX_[1033] + vX_[1719] * vX_[77];
+ vX_[1963] = 0 - vX_[1812];
+ vX_[1838] = 0 - vX_[3611];
+ jac[638] = 0 - (vX_[1862] * vX_[856] + vX_[2536] * vX_[854] + vX_[1984] * vX_[852] + vX_[2005] * vX_[851] + vX_[2157] * vX_[81] + vX_[1598] * vX_[82] + vX_[1920] * -0.466187537174287 + vX_[1689] * -0.00185880198235362 + vX_[2489] * vX_[59] + vX_[1982] * vX_[46] + vX_[2036] * vX_[36] + vX_[2758] * vX_[63] + vX_[2117] * vX_[37] + vX_[2110] * vX_[78] + (vX_[2036] * vX_[76] + vX_[2117] * vX_[62]) * 8.81e-05 + (vX_[2758] * vX_[76] + vX_[2110] * vX_[79]) * -8.81e-05 + vX_[2120] * vX_[47] + vX_[2119] * vX_[60] + vX_[1930] * vX_[45] + vX_[2000] * vX_[56] + vX_[1812] * vX_[6] + vX_[2062] * vX_[48] + vX_[1966] * vX_[54] + vX_[2000] * vX_[74] + vX_[2149] * vX_[83] + vX_[1695] * vX_[49] + (vX_[1321] * vX_[2] + vX_[2122] * vX_[67] + vX_[2295] * vX_[66] + (0 - vX_[2971]) * 0.414812462825713 + (0 - (vX_[2120] * vX_[62] + vX_[2119] * vX_[76]) + vX_[3086] + vX_[2295] * vX_[58]) * 0.881 + (0 - vX_[789]) * -0.00185880198235362 + (0 - (vX_[1966] * vX_[76] + vX_[2000] * vX_[79] + (vX_[2000] * vX_[62] + vX_[1812] * vX_[76]) * 2.)) * -8.81e-05 + vX_[1321] * -0.0004405 + vX_[2295] * -0.2209548) * -0.35 + vX_[512] * vX_[835] + vX_[1964] * vX_[824] + vX_[311] * vX_[829] + vX_[1965] * vX_[826] + (vX_[1773] * vX_[856] + vX_[512] * vX_[818]) * 0.35) * vX_[195] + (vX_[1862] * vX_[854] + vX_[1984] * vX_[851] + vX_[2157] * vX_[82] + vX_[1920] * -0.00185880198235362 + vX_[1689] * -7.4114911576828e-06 + vX_[2489] * vX_[46] + vX_[2758] * vX_[78] + vX_[2117] * vX_[36] + (vX_[2036] * vX_[79] + vX_[2117] * vX_[76]) * -8.81e-05 + vX_[2120] * vX_[60] + vX_[1930] * vX_[48] + vX_[2000] * vX_[6] + vX_[1963] * vX_[74] + vX_[2149] * vX_[49] + vX_[1695] * vX_[10] + vX_[1964] * vX_[835] + vX_[1965] * vX_[829] - (vX_[2536] * vX_[856] + vX_[512] * vX_[824]) + (vX_[1773] * vX_[854] + vX_[1719] * vX_[57] + vX_[1838] * vX_[2] + vX_[2971] * -0.00185880198235362 + vX_[789] * 0.880992588508842 + (0 - (vX_[2120] * vX_[76] + vX_[2119] * vX_[79] + vX_[1033] + vX_[1321] * vX_[58] + vX_[1838] * vX_[77])) * 0.881 + (0 - (vX_[1963] * vX_[62] + vX_[2000] * vX_[76]) + (vX_[2000] * vX_[76] + vX_[1812] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[1321]) * -0.1104774 + (0 - vX_[3611]) * -0.000881 + vX_[1964] * vX_[818]) * 0.35 - (vX_[2005] * vX_[852] + vX_[1598] * vX_[81] + vX_[1982] * vX_[59] + vX_[2036] * vX_[37] + vX_[2110] * vX_[63] + (vX_[2758] * vX_[62] + vX_[2110] * vX_[76]) * 8.81e-05 + vX_[2119] * vX_[47] + vX_[1812] * vX_[56] + vX_[2062] * vX_[45] + vX_[2000] * vX_[54] + vX_[311] * vX_[826])) * vX_[3573];
+ vX_[2981] = vX_[2203] + vX_[2260] * vX_[4] + vX_[2981] * vX_[8] + vX_[1634] * vX_[869];
+ vX_[2130] = vX_[2203] + vX_[2107] * vX_[65] + vX_[2130] * vX_[71] + vX_[1249] * vX_[870];
+ vX_[2203] = vX_[2981] - vX_[2130];
+ vX_[2165] = vX_[2260] * vX_[65] + vX_[2107] * vX_[4] + vX_[2068] * vX_[71] + vX_[2165] * vX_[8] + vX_[1634] * vX_[870] + vX_[1249] * vX_[869];
+ vX_[2068] = vX_[2203] * vX_[76] + vX_[2165] * vX_[79];
+ vX_[2107] = vX_[2203] * vX_[62] + vX_[2165] * vX_[76];
+ vX_[2981] = 0 - vX_[2981];
+ vX_[2260] = 0 - vX_[2165];
+ vX_[2255] = vX_[1861] * vX_[4] + vX_[2279] * vX_[65] + vX_[2255] * vX_[8] + vX_[1634] * vX_[866] + vX_[2132] * vX_[869];
+ vX_[1838] = 0 - vX_[2255];
+ vX_[3406] = vX_[1861] * vX_[65] + vX_[2279] * vX_[9] + vX_[3406] * vX_[8] + vX_[1634] * vX_[867] + vX_[2153] * vX_[869];
+ vX_[1861] = 0 - vX_[3406];
+ vX_[2279] = (vX_[2981] * vX_[26] + vX_[2260] * vX_[44] + vX_[1838] * vX_[32] + vX_[1861] * vX_[69]) * 1 / vX_[41];
+ vX_[2981] = vX_[3472] * vX_[847] + vX_[2981] * vX_[25] + vX_[2279];
+ vX_[2130] = 0 - vX_[2130];
+ vX_[1949] = vX_[2287] * vX_[4] + vX_[3353] * vX_[65] + vX_[1949] * vX_[71] + vX_[1249] * vX_[866] + vX_[2132] * vX_[870];
+ vX_[1963] = 0 - vX_[1949];
+ vX_[2248] = vX_[2287] * vX_[65] + vX_[3353] * vX_[9] + vX_[2248] * vX_[71] + vX_[1249] * vX_[867] + vX_[2153] * vX_[870];
+ vX_[2287] = 0 - vX_[2248];
+ vX_[3353] = (vX_[2130] * vX_[44] + vX_[1963] * vX_[32] + vX_[2287] * vX_[69]) * 1 / vX_[41];
+ vX_[2130] = vX_[767] * vX_[847] + vX_[2260] * vX_[25] + vX_[2130] * vX_[14] + vX_[3353];
+ vX_[2258] = vX_[2114] + vX_[2909] * vX_[8] + vX_[2258] * vX_[71] * 2. + vX_[2148] * vX_[867] - vX_[2130];
+ vX_[2257] = 0 - (vX_[969] + vX_[2257] * vX_[71] + vX_[1452] * vX_[8] * 2. + vX_[2148] * vX_[866]) + vX_[2981];
+ vX_[1452] = vX_[1452] + vX_[2132] * vX_[866];
+ vX_[2757] = vX_[2757] + vX_[2153] * vX_[867];
+ vX_[969] = vX_[1452] - vX_[2757];
+ vX_[2148] = 0 - vX_[1452];
+ vX_[2909] = vX_[2909] + vX_[2132] * vX_[867] + vX_[2153] * vX_[866];
+ vX_[2114] = 0 - vX_[2909];
+ vX_[2260] = (vX_[2148] * vX_[32] + vX_[2114] * vX_[69]) * 1 / vX_[41];
+ vX_[2148] = vX_[1989] * vX_[847] + vX_[1838] * vX_[25] + vX_[1963] * vX_[14] + vX_[2148] * vX_[35] + vX_[2260];
+ vX_[1963] = 0 - vX_[2757];
+ vX_[1838] = vX_[1963] * vX_[69] * 1 / vX_[41];
+ vX_[1963] = vX_[2111] * vX_[847] + vX_[1861] * vX_[25] + vX_[2287] * vX_[14] + vX_[2114] * vX_[35] + vX_[1963] * vX_[1] + vX_[1838];
+ vX_[2114] = 0 - vX_[1963];
+ vX_[2287] = vX_[969] * vX_[76] + vX_[2909] * vX_[79];
+ vX_[1861] = vX_[969] * vX_[62] + vX_[2909] * vX_[76];
+ vX_[789] = vX_[2287] * vX_[62] + vX_[1861] * vX_[76];
+ vX_[1033] = vX_[2757] + vX_[2287] * vX_[76];
+ vX_[2971] = vX_[2757] + vX_[1861] * vX_[62];
+ vX_[1838] = vX_[1452] + vX_[2757] + 0 - vX_[3472] * vX_[871] - vX_[767] * vX_[825] - vX_[2150] * vX_[864] + vX_[2150] * vX_[847] - vX_[1989] * vX_[860] - vX_[2111] * vX_[857] - vX_[2279] * vX_[25] - vX_[3353] * vX_[14] - vX_[2260] * vX_[35] - vX_[1838] * vX_[1] - vX_[1033] - vX_[2971];
+ vX_[2260] = 0 - vX_[1838];
+ vX_[2757] = vX_[2981] * vX_[76] + vX_[2130] * vX_[79];
+ vX_[1452] = vX_[2757] + vX_[2260] * vX_[58];
+ vX_[3353] = vX_[2981] * vX_[62] + vX_[2130] * vX_[76];
+ vX_[2279] = vX_[3353] + vX_[1838] * vX_[77];
+ vX_[2111] = 0 - vX_[1963];
+ vX_[1989] = 0 - vX_[2971];
+ jac[639] = 0 - (vX_[1634] * vX_[856] + vX_[1249] * vX_[854] + vX_[2132] * vX_[852] + vX_[2153] * vX_[851] + vX_[2203] * vX_[81] + vX_[2165] * vX_[82] + vX_[2068] * -0.466187537174287 + vX_[2107] * -0.00185880198235362 + vX_[2981] * vX_[59] + vX_[2130] * vX_[46] + vX_[1949] * vX_[36] + vX_[3406] * vX_[63] + vX_[2255] * vX_[37] + vX_[2248] * vX_[78] + (vX_[1949] * vX_[76] + vX_[2255] * vX_[62]) * 8.81e-05 + (vX_[3406] * vX_[76] + vX_[2248] * vX_[79]) * -8.81e-05 + vX_[2258] * vX_[47] + vX_[2257] * vX_[60] + vX_[969] * vX_[45] + vX_[2148] * vX_[56] + vX_[1963] * vX_[6] + vX_[2909] * vX_[48] + vX_[2114] * vX_[54] + vX_[2148] * vX_[74] + vX_[2287] * vX_[83] + vX_[1861] * vX_[49] + (vX_[789] * vX_[2] + vX_[2260] * vX_[67] + vX_[1033] * vX_[66] + (0 - vX_[1452]) * 0.414812462825713 + (0 - (vX_[2258] * vX_[62] + vX_[2257] * vX_[76]) + vX_[2757] + vX_[1033] * vX_[58]) * 0.881 + (0 - vX_[2279]) * -0.00185880198235362 + (0 - (vX_[2114] * vX_[76] + vX_[2148] * vX_[79] + (vX_[2148] * vX_[62] + vX_[1963] * vX_[76]) * 2.)) * -8.81e-05 + vX_[789] * -0.0004405 + vX_[1033] * -0.2209548) * -0.35 + vX_[2969] * vX_[835] + vX_[2112] * vX_[824] + vX_[2755] * vX_[829] + vX_[2113] * vX_[826] + (vX_[1797] * vX_[856] + vX_[2969] * vX_[818]) * 0.35) * vX_[195] + (vX_[1634] * vX_[854] + vX_[2132] * vX_[851] + vX_[2203] * vX_[82] + vX_[2068] * -0.00185880198235362 + vX_[2107] * -7.4114911576828e-06 + vX_[2981] * vX_[46] + vX_[3406] * vX_[78] + vX_[2255] * vX_[36] + (vX_[1949] * vX_[79] + vX_[2255] * vX_[76]) * -8.81e-05 + vX_[2258] * vX_[60] + vX_[969] * vX_[48] + vX_[2148] * vX_[6] + vX_[2111] * vX_[74] + vX_[2287] * vX_[49] + vX_[1861] * vX_[10] + vX_[2112] * vX_[835] + vX_[2113] * vX_[829] - (vX_[1249] * vX_[856] + vX_[2969] * vX_[824]) + (vX_[1797] * vX_[854] + vX_[1838] * vX_[57] + vX_[1989] * vX_[2] + vX_[1452] * -0.00185880198235362 + vX_[2279] * 0.880992588508842 + (0 - (vX_[2258] * vX_[76] + vX_[2257] * vX_[79] + vX_[3353] + vX_[789] * vX_[58] + vX_[1989] * vX_[77])) * 0.881 + (0 - (vX_[2111] * vX_[62] + vX_[2148] * vX_[76]) + (vX_[2148] * vX_[76] + vX_[1963] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[789]) * -0.1104774 + (0 - vX_[2971]) * -0.000881 + vX_[2112] * vX_[818]) * 0.35 - (vX_[2153] * vX_[852] + vX_[2165] * vX_[81] + vX_[2130] * vX_[59] + vX_[1949] * vX_[37] + vX_[2248] * vX_[63] + (vX_[3406] * vX_[62] + vX_[2248] * vX_[76]) * 8.81e-05 + vX_[2257] * vX_[47] + vX_[1963] * vX_[56] + vX_[2909] * vX_[45] + vX_[2148] * vX_[54] + vX_[2755] * vX_[826])) * vX_[3573];
+ vX_[2154] = vX_[2435] + vX_[2412] * vX_[4] + vX_[2154] * vX_[8] + vX_[2027] * vX_[869];
+ vX_[2268] = vX_[2435] + vX_[3133] * vX_[65] + vX_[2268] * vX_[71] + vX_[2254] * vX_[870];
+ vX_[2435] = vX_[2154] - vX_[2268];
+ vX_[576] = vX_[2412] * vX_[65] + vX_[3133] * vX_[4] + vX_[2139] * vX_[71] + vX_[576] * vX_[8] + vX_[2027] * vX_[870] + vX_[2254] * vX_[869];
+ vX_[2139] = vX_[2435] * vX_[76] + vX_[576] * vX_[79];
+ vX_[3133] = vX_[2435] * vX_[62] + vX_[576] * vX_[76];
+ vX_[2154] = 0 - vX_[2154];
+ vX_[2412] = 0 - vX_[576];
+ vX_[2407] = vX_[2118] * vX_[4] + vX_[514] * vX_[65] + vX_[2407] * vX_[8] + vX_[2027] * vX_[866] + vX_[2270] * vX_[869];
+ vX_[1989] = 0 - vX_[2407];
+ vX_[255] = vX_[2118] * vX_[65] + vX_[514] * vX_[9] + vX_[255] * vX_[8] + vX_[2027] * vX_[867] + vX_[2291] * vX_[869];
+ vX_[2118] = 0 - vX_[255];
+ vX_[514] = (vX_[2154] * vX_[26] + vX_[2412] * vX_[44] + vX_[1989] * vX_[32] + vX_[2118] * vX_[69]) * 1 / vX_[41];
+ vX_[2154] = vX_[2397] * vX_[847] + vX_[2154] * vX_[25] + vX_[514];
+ vX_[2268] = 0 - vX_[2268];
+ vX_[2325] = vX_[2439] * vX_[4] + vX_[1339] * vX_[65] + vX_[2325] * vX_[71] + vX_[2254] * vX_[866] + vX_[2270] * vX_[870];
+ vX_[2111] = 0 - vX_[2325];
+ vX_[2400] = vX_[2439] * vX_[65] + vX_[1339] * vX_[9] + vX_[2400] * vX_[71] + vX_[2254] * vX_[867] + vX_[2291] * vX_[870];
+ vX_[2439] = 0 - vX_[2400];
+ vX_[1339] = (vX_[2268] * vX_[44] + vX_[2111] * vX_[32] + vX_[2439] * vX_[69]) * 1 / vX_[41];
+ vX_[2268] = vX_[2549] * vX_[847] + vX_[2412] * vX_[25] + vX_[2268] * vX_[14] + vX_[1339];
+ vX_[2410] = vX_[2252] + vX_[1699] * vX_[8] + vX_[2410] * vX_[71] * 2. + vX_[2286] * vX_[867] - vX_[2268];
+ vX_[2409] = 0 - (vX_[2298] + vX_[2409] * vX_[71] + vX_[586] * vX_[8] * 2. + vX_[2286] * vX_[866]) + vX_[2154];
+ vX_[586] = vX_[586] + vX_[2270] * vX_[866];
+ vX_[743] = vX_[743] + vX_[2291] * vX_[867];
+ vX_[2298] = vX_[586] - vX_[743];
+ vX_[2286] = 0 - vX_[586];
+ vX_[1699] = vX_[1699] + vX_[2270] * vX_[867] + vX_[2291] * vX_[866];
+ vX_[2252] = 0 - vX_[1699];
+ vX_[2412] = (vX_[2286] * vX_[32] + vX_[2252] * vX_[69]) * 1 / vX_[41];
+ vX_[2286] = vX_[2163] * vX_[847] + vX_[1989] * vX_[25] + vX_[2111] * vX_[14] + vX_[2286] * vX_[35] + vX_[2412];
+ vX_[2111] = 0 - vX_[743];
+ vX_[1989] = vX_[2111] * vX_[69] * 1 / vX_[41];
+ vX_[2111] = vX_[2249] * vX_[847] + vX_[2118] * vX_[25] + vX_[2439] * vX_[14] + vX_[2252] * vX_[35] + vX_[2111] * vX_[1] + vX_[1989];
+ vX_[2252] = 0 - vX_[2111];
+ vX_[2439] = vX_[2298] * vX_[76] + vX_[1699] * vX_[79];
+ vX_[2118] = vX_[2298] * vX_[62] + vX_[1699] * vX_[76];
+ vX_[2279] = vX_[2439] * vX_[62] + vX_[2118] * vX_[76];
+ vX_[3353] = vX_[743] + vX_[2439] * vX_[76];
+ vX_[1452] = vX_[743] + vX_[2118] * vX_[62];
+ vX_[1989] = vX_[586] + vX_[743] + 0 - vX_[2397] * vX_[871] - vX_[2549] * vX_[825] - vX_[2288] * vX_[864] + vX_[2288] * vX_[847] - vX_[2163] * vX_[860] - vX_[2249] * vX_[857] - vX_[514] * vX_[25] - vX_[1339] * vX_[14] - vX_[2412] * vX_[35] - vX_[1989] * vX_[1] - vX_[3353] - vX_[1452];
+ vX_[2412] = 0 - vX_[1989];
+ vX_[743] = vX_[2154] * vX_[76] + vX_[2268] * vX_[79];
+ vX_[586] = vX_[743] + vX_[2412] * vX_[58];
+ vX_[1339] = vX_[2154] * vX_[62] + vX_[2268] * vX_[76];
+ vX_[514] = vX_[1339] + vX_[1989] * vX_[77];
+ vX_[2249] = 0 - vX_[2111];
+ vX_[2163] = 0 - vX_[1452];
+ jac[640] = 0 - (vX_[2027] * vX_[856] + vX_[2254] * vX_[854] + vX_[2270] * vX_[852] + vX_[2291] * vX_[851] + vX_[2435] * vX_[81] + vX_[576] * vX_[82] + vX_[2139] * -0.466187537174287 + vX_[3133] * -0.00185880198235362 + vX_[2154] * vX_[59] + vX_[2268] * vX_[46] + vX_[2325] * vX_[36] + vX_[255] * vX_[63] + vX_[2407] * vX_[37] + vX_[2400] * vX_[78] + (vX_[2325] * vX_[76] + vX_[2407] * vX_[62]) * 8.81e-05 + (vX_[255] * vX_[76] + vX_[2400] * vX_[79]) * -8.81e-05 + vX_[2410] * vX_[47] + vX_[2409] * vX_[60] + vX_[2298] * vX_[45] + vX_[2286] * vX_[56] + vX_[2111] * vX_[6] + vX_[1699] * vX_[48] + vX_[2252] * vX_[54] + vX_[2286] * vX_[74] + vX_[2439] * vX_[83] + vX_[2118] * vX_[49] + (vX_[2279] * vX_[2] + vX_[2412] * vX_[67] + vX_[3353] * vX_[66] + (0 - vX_[586]) * 0.414812462825713 + (0 - (vX_[2410] * vX_[62] + vX_[2409] * vX_[76]) + vX_[743] + vX_[3353] * vX_[58]) * 0.881 + (0 - vX_[514]) * -0.00185880198235362 + (0 - (vX_[2252] * vX_[76] + vX_[2286] * vX_[79] + (vX_[2286] * vX_[62] + vX_[2111] * vX_[76]) * 2.)) * -8.81e-05 + vX_[2279] * -0.0004405 + vX_[3353] * -0.2209548) * -0.35 + vX_[2376] * vX_[835] + vX_[2250] * vX_[824] + vX_[1514] * vX_[829] + vX_[2251] * vX_[826] + (vX_[2158] * vX_[856] + vX_[2376] * vX_[818]) * 0.35) * vX_[195] + (vX_[2027] * vX_[854] + vX_[2270] * vX_[851] + vX_[2435] * vX_[82] + vX_[2139] * -0.00185880198235362 + vX_[3133] * -7.4114911576828e-06 + vX_[2154] * vX_[46] + vX_[255] * vX_[78] + vX_[2407] * vX_[36] + (vX_[2325] * vX_[79] + vX_[2407] * vX_[76]) * -8.81e-05 + vX_[2410] * vX_[60] + vX_[2298] * vX_[48] + vX_[2286] * vX_[6] + vX_[2249] * vX_[74] + vX_[2439] * vX_[49] + vX_[2118] * vX_[10] + vX_[2250] * vX_[835] + vX_[2251] * vX_[829] - (vX_[2254] * vX_[856] + vX_[2376] * vX_[824]) + (vX_[2158] * vX_[854] + vX_[1989] * vX_[57] + vX_[2163] * vX_[2] + vX_[586] * -0.00185880198235362 + vX_[514] * 0.880992588508842 + (0 - (vX_[2410] * vX_[76] + vX_[2409] * vX_[79] + vX_[1339] + vX_[2279] * vX_[58] + vX_[2163] * vX_[77])) * 0.881 + (0 - (vX_[2249] * vX_[62] + vX_[2286] * vX_[76]) + (vX_[2286] * vX_[76] + vX_[2111] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[2279]) * -0.1104774 + (0 - vX_[1452]) * -0.000881 + vX_[2250] * vX_[818]) * 0.35 - (vX_[2291] * vX_[852] + vX_[576] * vX_[81] + vX_[2268] * vX_[59] + vX_[2325] * vX_[37] + vX_[2400] * vX_[63] + (vX_[255] * vX_[62] + vX_[2400] * vX_[76]) * 8.81e-05 + vX_[2409] * vX_[47] + vX_[2111] * vX_[56] + vX_[1699] * vX_[45] + vX_[2286] * vX_[54] + vX_[1514] * vX_[826])) * vX_[3573];
+ vX_[1015] = vX_[246] + vX_[2564] * vX_[4] + vX_[1015] * vX_[8] + vX_[1998] * vX_[869];
+ vX_[2420] = vX_[246] + vX_[283] * vX_[65] + vX_[2420] * vX_[71] + vX_[2943] * vX_[870];
+ vX_[246] = vX_[1015] - vX_[2420];
+ vX_[298] = vX_[2564] * vX_[65] + vX_[283] * vX_[4] + vX_[2353] * vX_[71] + vX_[298] * vX_[8] + vX_[1998] * vX_[870] + vX_[2943] * vX_[869];
+ vX_[2353] = vX_[246] * vX_[76] + vX_[298] * vX_[79];
+ vX_[283] = vX_[246] * vX_[62] + vX_[298] * vX_[76];
+ vX_[1015] = 0 - vX_[1015];
+ vX_[2564] = 0 - vX_[298];
+ vX_[2559] = vX_[2331] * vX_[4] + vX_[3602] * vX_[65] + vX_[2559] * vX_[8] + vX_[1998] * vX_[866] + vX_[2422] * vX_[869];
+ vX_[2163] = 0 - vX_[2559];
+ vX_[306] = vX_[2331] * vX_[65] + vX_[3602] * vX_[9] + vX_[306] * vX_[8] + vX_[1998] * vX_[867] + vX_[2443] * vX_[869];
+ vX_[2331] = 0 - vX_[306];
+ vX_[3602] = (vX_[1015] * vX_[26] + vX_[2564] * vX_[44] + vX_[2163] * vX_[32] + vX_[2331] * vX_[69]) * 1 / vX_[41];
+ vX_[1015] = vX_[2050] * vX_[847] + vX_[1015] * vX_[25] + vX_[3602];
+ vX_[2420] = 0 - vX_[2420];
+ vX_[2477] = vX_[2591] * vX_[4] + vX_[279] * vX_[65] + vX_[2477] * vX_[71] + vX_[2943] * vX_[866] + vX_[2422] * vX_[870];
+ vX_[2249] = 0 - vX_[2477];
+ vX_[2552] = vX_[2591] * vX_[65] + vX_[279] * vX_[9] + vX_[2552] * vX_[71] + vX_[2943] * vX_[867] + vX_[2443] * vX_[870];
+ vX_[2591] = 0 - vX_[2552];
+ vX_[279] = (vX_[2420] * vX_[44] + vX_[2249] * vX_[32] + vX_[2591] * vX_[69]) * 1 / vX_[41];
+ vX_[2420] = vX_[1629] * vX_[847] + vX_[2564] * vX_[25] + vX_[2420] * vX_[14] + vX_[279];
+ vX_[2562] = vX_[2404] + vX_[241] * vX_[8] + vX_[2562] * vX_[71] * 2. + vX_[2438] * vX_[867] - vX_[2420];
+ vX_[2561] = 0 - (vX_[1001] + vX_[2561] * vX_[71] + vX_[1166] * vX_[8] * 2. + vX_[2438] * vX_[866]) + vX_[1015];
+ vX_[1166] = vX_[1166] + vX_[2422] * vX_[866];
+ vX_[1942] = vX_[1942] + vX_[2443] * vX_[867];
+ vX_[1001] = vX_[1166] - vX_[1942];
+ vX_[2438] = 0 - vX_[1166];
+ vX_[241] = vX_[241] + vX_[2422] * vX_[867] + vX_[2443] * vX_[866];
+ vX_[2404] = 0 - vX_[241];
+ vX_[2564] = (vX_[2438] * vX_[32] + vX_[2404] * vX_[69]) * 1 / vX_[41];
+ vX_[2438] = vX_[2275] * vX_[847] + vX_[2163] * vX_[25] + vX_[2249] * vX_[14] + vX_[2438] * vX_[35] + vX_[2564];
+ vX_[2249] = 0 - vX_[1942];
+ vX_[2163] = vX_[2249] * vX_[69] * 1 / vX_[41];
+ vX_[2249] = vX_[2401] * vX_[847] + vX_[2331] * vX_[25] + vX_[2591] * vX_[14] + vX_[2404] * vX_[35] + vX_[2249] * vX_[1] + vX_[2163];
+ vX_[2404] = 0 - vX_[2249];
+ vX_[2591] = vX_[1001] * vX_[76] + vX_[241] * vX_[79];
+ vX_[2331] = vX_[1001] * vX_[62] + vX_[241] * vX_[76];
+ vX_[514] = vX_[2591] * vX_[62] + vX_[2331] * vX_[76];
+ vX_[1339] = vX_[1942] + vX_[2591] * vX_[76];
+ vX_[586] = vX_[1942] + vX_[2331] * vX_[62];
+ vX_[2163] = vX_[1166] + vX_[1942] + 0 - vX_[2050] * vX_[871] - vX_[1629] * vX_[825] - vX_[2440] * vX_[864] + vX_[2440] * vX_[847] - vX_[2275] * vX_[860] - vX_[2401] * vX_[857] - vX_[3602] * vX_[25] - vX_[279] * vX_[14] - vX_[2564] * vX_[35] - vX_[2163] * vX_[1] - vX_[1339] - vX_[586];
+ vX_[2564] = 0 - vX_[2163];
+ vX_[1942] = vX_[1015] * vX_[76] + vX_[2420] * vX_[79];
+ vX_[1166] = vX_[1942] + vX_[2564] * vX_[58];
+ vX_[279] = vX_[1015] * vX_[62] + vX_[2420] * vX_[76];
+ vX_[3602] = vX_[279] + vX_[2163] * vX_[77];
+ vX_[2401] = 0 - vX_[2249];
+ vX_[2275] = 0 - vX_[586];
+ jac[641] = 0 - (vX_[1998] * vX_[856] + vX_[2943] * vX_[854] + vX_[2422] * vX_[852] + vX_[2443] * vX_[851] + vX_[246] * vX_[81] + vX_[298] * vX_[82] + vX_[2353] * -0.466187537174287 + vX_[283] * -0.00185880198235362 + vX_[1015] * vX_[59] + vX_[2420] * vX_[46] + vX_[2477] * vX_[36] + vX_[306] * vX_[63] + vX_[2559] * vX_[37] + vX_[2552] * vX_[78] + (vX_[2477] * vX_[76] + vX_[2559] * vX_[62]) * 8.81e-05 + (vX_[306] * vX_[76] + vX_[2552] * vX_[79]) * -8.81e-05 + vX_[2562] * vX_[47] + vX_[2561] * vX_[60] + vX_[1001] * vX_[45] + vX_[2438] * vX_[56] + vX_[2249] * vX_[6] + vX_[241] * vX_[48] + vX_[2404] * vX_[54] + vX_[2438] * vX_[74] + vX_[2591] * vX_[83] + vX_[2331] * vX_[49] + (vX_[514] * vX_[2] + vX_[2564] * vX_[67] + vX_[1339] * vX_[66] + (0 - vX_[1166]) * 0.414812462825713 + (0 - (vX_[2562] * vX_[62] + vX_[2561] * vX_[76]) + vX_[1942] + vX_[1339] * vX_[58]) * 0.881 + (0 - vX_[3602]) * -0.00185880198235362 + (0 - (vX_[2404] * vX_[76] + vX_[2438] * vX_[79] + (vX_[2438] * vX_[62] + vX_[2249] * vX_[76]) * 2.)) * -8.81e-05 + vX_[514] * -0.0004405 + vX_[1339] * -0.2209548) * -0.35 + vX_[3447] * vX_[835] + vX_[2402] * vX_[824] + vX_[237] * vX_[829] + vX_[2403] * vX_[826] + (vX_[2091] * vX_[856] + vX_[3447] * vX_[818]) * 0.35) * vX_[195] + (vX_[1998] * vX_[854] + vX_[2422] * vX_[851] + vX_[246] * vX_[82] + vX_[2353] * -0.00185880198235362 + vX_[283] * -7.4114911576828e-06 + vX_[1015] * vX_[46] + vX_[306] * vX_[78] + vX_[2559] * vX_[36] + (vX_[2477] * vX_[79] + vX_[2559] * vX_[76]) * -8.81e-05 + vX_[2562] * vX_[60] + vX_[1001] * vX_[48] + vX_[2438] * vX_[6] + vX_[2401] * vX_[74] + vX_[2591] * vX_[49] + vX_[2331] * vX_[10] + vX_[2402] * vX_[835] + vX_[2403] * vX_[829] - (vX_[2943] * vX_[856] + vX_[3447] * vX_[824]) + (vX_[2091] * vX_[854] + vX_[2163] * vX_[57] + vX_[2275] * vX_[2] + vX_[1166] * -0.00185880198235362 + vX_[3602] * 0.880992588508842 + (0 - (vX_[2562] * vX_[76] + vX_[2561] * vX_[79] + vX_[279] + vX_[514] * vX_[58] + vX_[2275] * vX_[77])) * 0.881 + (0 - (vX_[2401] * vX_[62] + vX_[2438] * vX_[76]) + (vX_[2438] * vX_[76] + vX_[2249] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[514]) * -0.1104774 + (0 - vX_[586]) * -0.000881 + vX_[2402] * vX_[818]) * 0.35 - (vX_[2443] * vX_[852] + vX_[298] * vX_[81] + vX_[2420] * vX_[59] + vX_[2477] * vX_[37] + vX_[2552] * vX_[63] + (vX_[306] * vX_[62] + vX_[2552] * vX_[76]) * 8.81e-05 + vX_[2561] * vX_[47] + vX_[2249] * vX_[56] + vX_[241] * vX_[45] + vX_[2438] * vX_[54] + vX_[237] * vX_[826])) * vX_[3573];
+ vX_[302] = vX_[921] + vX_[2706] * vX_[4] + vX_[302] * vX_[8] + vX_[983] * vX_[869];
+ vX_[2572] = vX_[921] + vX_[926] * vX_[65] + vX_[2572] * vX_[71] + vX_[239] * vX_[870];
+ vX_[921] = vX_[302] - vX_[2572];
+ vX_[227] = vX_[2706] * vX_[65] + vX_[926] * vX_[4] + vX_[2505] * vX_[71] + vX_[227] * vX_[8] + vX_[983] * vX_[870] + vX_[239] * vX_[869];
+ vX_[2505] = vX_[921] * vX_[76] + vX_[227] * vX_[79];
+ vX_[926] = vX_[921] * vX_[62] + vX_[227] * vX_[76];
+ vX_[302] = 0 - vX_[302];
+ vX_[2706] = 0 - vX_[227];
+ vX_[2701] = vX_[2483] * vX_[4] + vX_[896] * vX_[65] + vX_[2701] * vX_[8] + vX_[983] * vX_[866] + vX_[2574] * vX_[869];
+ vX_[2275] = 0 - vX_[2701];
+ vX_[202] = vX_[2483] * vX_[65] + vX_[896] * vX_[9] + vX_[202] * vX_[8] + vX_[983] * vX_[867] + vX_[2595] * vX_[869];
+ vX_[2483] = 0 - vX_[202];
+ vX_[896] = (vX_[302] * vX_[26] + vX_[2706] * vX_[44] + vX_[2275] * vX_[32] + vX_[2483] * vX_[69]) * 1 / vX_[41];
+ vX_[302] = vX_[1226] * vX_[847] + vX_[302] * vX_[25] + vX_[896];
+ vX_[2572] = 0 - vX_[2572];
+ vX_[2501] = vX_[2733] * vX_[4] + vX_[218] * vX_[65] + vX_[2501] * vX_[71] + vX_[239] * vX_[866] + vX_[2574] * vX_[870];
+ vX_[2401] = 0 - vX_[2501];
+ vX_[2694] = vX_[2733] * vX_[65] + vX_[218] * vX_[9] + vX_[2694] * vX_[71] + vX_[239] * vX_[867] + vX_[2595] * vX_[870];
+ vX_[2733] = 0 - vX_[2694];
+ vX_[218] = (vX_[2572] * vX_[44] + vX_[2401] * vX_[32] + vX_[2733] * vX_[69]) * 1 / vX_[41];
+ vX_[2572] = vX_[1568] * vX_[847] + vX_[2706] * vX_[25] + vX_[2572] * vX_[14] + vX_[218];
+ vX_[2704] = vX_[2556] + vX_[161] * vX_[8] + vX_[2704] * vX_[71] * 2. + vX_[2590] * vX_[867] - vX_[2572];
+ vX_[2703] = 0 - (vX_[3680] + vX_[2703] * vX_[71] + vX_[1827] * vX_[8] * 2. + vX_[2590] * vX_[866]) + vX_[302];
+ vX_[1827] = vX_[1827] + vX_[2574] * vX_[866];
+ vX_[570] = vX_[570] + vX_[2595] * vX_[867];
+ vX_[3680] = vX_[1827] - vX_[570];
+ vX_[2590] = 0 - vX_[1827];
+ vX_[161] = vX_[161] + vX_[2574] * vX_[867] + vX_[2595] * vX_[866];
+ vX_[2556] = 0 - vX_[161];
+ vX_[2706] = (vX_[2590] * vX_[32] + vX_[2556] * vX_[69]) * 1 / vX_[41];
+ vX_[2590] = vX_[2427] * vX_[847] + vX_[2275] * vX_[25] + vX_[2401] * vX_[14] + vX_[2590] * vX_[35] + vX_[2706];
+ vX_[2401] = 0 - vX_[570];
+ vX_[2275] = vX_[2401] * vX_[69] * 1 / vX_[41];
+ vX_[2401] = vX_[2553] * vX_[847] + vX_[2483] * vX_[25] + vX_[2733] * vX_[14] + vX_[2556] * vX_[35] + vX_[2401] * vX_[1] + vX_[2275];
+ vX_[2556] = 0 - vX_[2401];
+ vX_[2733] = vX_[3680] * vX_[76] + vX_[161] * vX_[79];
+ vX_[2483] = vX_[3680] * vX_[62] + vX_[161] * vX_[76];
+ vX_[3602] = vX_[2733] * vX_[62] + vX_[2483] * vX_[76];
+ vX_[279] = vX_[570] + vX_[2733] * vX_[76];
+ vX_[1166] = vX_[570] + vX_[2483] * vX_[62];
+ vX_[2275] = vX_[1827] + vX_[570] + 0 - vX_[1226] * vX_[871] - vX_[1568] * vX_[825] - vX_[2592] * vX_[864] + vX_[2592] * vX_[847] - vX_[2427] * vX_[860] - vX_[2553] * vX_[857] - vX_[896] * vX_[25] - vX_[218] * vX_[14] - vX_[2706] * vX_[35] - vX_[2275] * vX_[1] - vX_[279] - vX_[1166];
+ vX_[2706] = 0 - vX_[2275];
+ vX_[570] = vX_[302] * vX_[76] + vX_[2572] * vX_[79];
+ vX_[1827] = vX_[570] + vX_[2706] * vX_[58];
+ vX_[218] = vX_[302] * vX_[62] + vX_[2572] * vX_[76];
+ vX_[896] = vX_[218] + vX_[2275] * vX_[77];
+ vX_[2553] = 0 - vX_[2401];
+ vX_[2427] = 0 - vX_[1166];
+ jac[642] = 0 - (vX_[983] * vX_[856] + vX_[239] * vX_[854] + vX_[2574] * vX_[852] + vX_[2595] * vX_[851] + vX_[921] * vX_[81] + vX_[227] * vX_[82] + vX_[2505] * -0.466187537174287 + vX_[926] * -0.00185880198235362 + vX_[302] * vX_[59] + vX_[2572] * vX_[46] + vX_[2501] * vX_[36] + vX_[202] * vX_[63] + vX_[2701] * vX_[37] + vX_[2694] * vX_[78] + (vX_[2501] * vX_[76] + vX_[2701] * vX_[62]) * 8.81e-05 + (vX_[202] * vX_[76] + vX_[2694] * vX_[79]) * -8.81e-05 + vX_[2704] * vX_[47] + vX_[2703] * vX_[60] + vX_[3680] * vX_[45] + vX_[2590] * vX_[56] + vX_[2401] * vX_[6] + vX_[161] * vX_[48] + vX_[2556] * vX_[54] + vX_[2590] * vX_[74] + vX_[2733] * vX_[83] + vX_[2483] * vX_[49] + (vX_[3602] * vX_[2] + vX_[2706] * vX_[67] + vX_[279] * vX_[66] + (0 - vX_[1827]) * 0.414812462825713 + (0 - (vX_[2704] * vX_[62] + vX_[2703] * vX_[76]) + vX_[570] + vX_[279] * vX_[58]) * 0.881 + (0 - vX_[896]) * -0.00185880198235362 + (0 - (vX_[2556] * vX_[76] + vX_[2590] * vX_[79] + (vX_[2590] * vX_[62] + vX_[2401] * vX_[76]) * 2.)) * -8.81e-05 + vX_[3602] * -0.0004405 + vX_[279] * -0.2209548) * -0.35 + vX_[1236] * vX_[835] + vX_[2554] * vX_[824] + vX_[3195] * vX_[829] + vX_[2555] * vX_[826] + (vX_[2349] * vX_[856] + vX_[1236] * vX_[818]) * 0.35) * vX_[195] + (vX_[983] * vX_[854] + vX_[2574] * vX_[851] + vX_[921] * vX_[82] + vX_[2505] * -0.00185880198235362 + vX_[926] * -7.4114911576828e-06 + vX_[302] * vX_[46] + vX_[202] * vX_[78] + vX_[2701] * vX_[36] + (vX_[2501] * vX_[79] + vX_[2701] * vX_[76]) * -8.81e-05 + vX_[2704] * vX_[60] + vX_[3680] * vX_[48] + vX_[2590] * vX_[6] + vX_[2553] * vX_[74] + vX_[2733] * vX_[49] + vX_[2483] * vX_[10] + vX_[2554] * vX_[835] + vX_[2555] * vX_[829] - (vX_[239] * vX_[856] + vX_[1236] * vX_[824]) + (vX_[2349] * vX_[854] + vX_[2275] * vX_[57] + vX_[2427] * vX_[2] + vX_[1827] * -0.00185880198235362 + vX_[896] * 0.880992588508842 + (0 - (vX_[2704] * vX_[76] + vX_[2703] * vX_[79] + vX_[218] + vX_[3602] * vX_[58] + vX_[2427] * vX_[77])) * 0.881 + (0 - (vX_[2553] * vX_[62] + vX_[2590] * vX_[76]) + (vX_[2590] * vX_[76] + vX_[2401] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[3602]) * -0.1104774 + (0 - vX_[1166]) * -0.000881 + vX_[2554] * vX_[818]) * 0.35 - (vX_[2595] * vX_[852] + vX_[227] * vX_[81] + vX_[2572] * vX_[59] + vX_[2501] * vX_[37] + vX_[2694] * vX_[63] + (vX_[202] * vX_[62] + vX_[2694] * vX_[76]) * 8.81e-05 + vX_[2703] * vX_[47] + vX_[2401] * vX_[56] + vX_[161] * vX_[45] + vX_[2590] * vX_[54] + vX_[3195] * vX_[826])) * vX_[3573];
+ vX_[815] = vX_[213] + vX_[2856] * vX_[4] + vX_[815] * vX_[8] + vX_[3679] * vX_[869];
+ vX_[2714] = vX_[213] + vX_[972] * vX_[65] + vX_[2714] * vX_[71] + vX_[204] * vX_[870];
+ vX_[213] = vX_[815] - vX_[2714];
+ vX_[3717] = vX_[2856] * vX_[65] + vX_[972] * vX_[4] + vX_[2581] * vX_[71] + vX_[3717] * vX_[8] + vX_[3679] * vX_[870] + vX_[204] * vX_[869];
+ vX_[2581] = vX_[213] * vX_[76] + vX_[3717] * vX_[79];
+ vX_[972] = vX_[213] * vX_[62] + vX_[3717] * vX_[76];
+ vX_[815] = 0 - vX_[815];
+ vX_[2856] = 0 - vX_[3717];
+ vX_[2851] = vX_[2560] * vX_[4] + vX_[198] * vX_[65] + vX_[2851] * vX_[8] + vX_[3679] * vX_[866] + vX_[2716] * vX_[869];
+ vX_[2427] = 0 - vX_[2851];
+ vX_[3668] = vX_[2560] * vX_[65] + vX_[198] * vX_[9] + vX_[3668] * vX_[8] + vX_[3679] * vX_[867] + vX_[2737] * vX_[869];
+ vX_[2560] = 0 - vX_[3668];
+ vX_[198] = (vX_[815] * vX_[26] + vX_[2856] * vX_[44] + vX_[2427] * vX_[32] + vX_[2560] * vX_[69]) * 1 / vX_[41];
+ vX_[815] = vX_[217] * vX_[847] + vX_[815] * vX_[25] + vX_[198];
+ vX_[2714] = 0 - vX_[2714];
+ vX_[2800] = vX_[2883] * vX_[4] + vX_[3708] * vX_[65] + vX_[2800] * vX_[71] + vX_[204] * vX_[866] + vX_[2716] * vX_[870];
+ vX_[2553] = 0 - vX_[2800];
+ vX_[2844] = vX_[2883] * vX_[65] + vX_[3708] * vX_[9] + vX_[2844] * vX_[71] + vX_[204] * vX_[867] + vX_[2737] * vX_[870];
+ vX_[2883] = 0 - vX_[2844];
+ vX_[3708] = (vX_[2714] * vX_[44] + vX_[2553] * vX_[32] + vX_[2883] * vX_[69]) * 1 / vX_[41];
+ vX_[2714] = vX_[228] * vX_[847] + vX_[2856] * vX_[25] + vX_[2714] * vX_[14] + vX_[3708];
+ vX_[2854] = vX_[2698] + vX_[3735] * vX_[8] + vX_[2854] * vX_[71] * 2. + vX_[2732] * vX_[867] - vX_[2714];
+ vX_[2853] = 0 - (vX_[158] + vX_[2853] * vX_[71] + vX_[3770] * vX_[8] * 2. + vX_[2732] * vX_[866]) + vX_[815];
+ vX_[3770] = vX_[3770] + vX_[2716] * vX_[866];
+ vX_[268] = vX_[268] + vX_[2737] * vX_[867];
+ vX_[158] = vX_[3770] - vX_[268];
+ vX_[2732] = 0 - vX_[3770];
+ vX_[3735] = vX_[3735] + vX_[2716] * vX_[867] + vX_[2737] * vX_[866];
+ vX_[2698] = 0 - vX_[3735];
+ vX_[2856] = (vX_[2732] * vX_[32] + vX_[2698] * vX_[69]) * 1 / vX_[41];
+ vX_[2732] = vX_[2605] * vX_[847] + vX_[2427] * vX_[25] + vX_[2553] * vX_[14] + vX_[2732] * vX_[35] + vX_[2856];
+ vX_[2553] = 0 - vX_[268];
+ vX_[2427] = vX_[2553] * vX_[69] * 1 / vX_[41];
+ vX_[2553] = vX_[2695] * vX_[847] + vX_[2560] * vX_[25] + vX_[2883] * vX_[14] + vX_[2698] * vX_[35] + vX_[2553] * vX_[1] + vX_[2427];
+ vX_[2698] = 0 - vX_[2553];
+ vX_[2883] = vX_[158] * vX_[76] + vX_[3735] * vX_[79];
+ vX_[2560] = vX_[158] * vX_[62] + vX_[3735] * vX_[76];
+ vX_[896] = vX_[2883] * vX_[62] + vX_[2560] * vX_[76];
+ vX_[218] = vX_[268] + vX_[2883] * vX_[76];
+ vX_[1827] = vX_[268] + vX_[2560] * vX_[62];
+ vX_[2427] = vX_[3770] + vX_[268] + 0 - vX_[217] * vX_[871] - vX_[228] * vX_[825] - vX_[2734] * vX_[864] + vX_[2734] * vX_[847] - vX_[2605] * vX_[860] - vX_[2695] * vX_[857] - vX_[198] * vX_[25] - vX_[3708] * vX_[14] - vX_[2856] * vX_[35] - vX_[2427] * vX_[1] - vX_[218] - vX_[1827];
+ vX_[2856] = 0 - vX_[2427];
+ vX_[268] = vX_[815] * vX_[76] + vX_[2714] * vX_[79];
+ vX_[3770] = vX_[268] + vX_[2856] * vX_[58];
+ vX_[3708] = vX_[815] * vX_[62] + vX_[2714] * vX_[76];
+ vX_[198] = vX_[3708] + vX_[2427] * vX_[77];
+ vX_[2695] = 0 - vX_[2553];
+ vX_[2605] = 0 - vX_[1827];
+ jac[643] = 0 - (vX_[3679] * vX_[856] + vX_[204] * vX_[854] + vX_[2716] * vX_[852] + vX_[2737] * vX_[851] + vX_[213] * vX_[81] + vX_[3717] * vX_[82] + vX_[2581] * -0.466187537174287 + vX_[972] * -0.00185880198235362 + vX_[815] * vX_[59] + vX_[2714] * vX_[46] + vX_[2800] * vX_[36] + vX_[3668] * vX_[63] + vX_[2851] * vX_[37] + vX_[2844] * vX_[78] + (vX_[2800] * vX_[76] + vX_[2851] * vX_[62]) * 8.81e-05 + (vX_[3668] * vX_[76] + vX_[2844] * vX_[79]) * -8.81e-05 + vX_[2854] * vX_[47] + vX_[2853] * vX_[60] + vX_[158] * vX_[45] + vX_[2732] * vX_[56] + vX_[2553] * vX_[6] + vX_[3735] * vX_[48] + vX_[2698] * vX_[54] + vX_[2732] * vX_[74] + vX_[2883] * vX_[83] + vX_[2560] * vX_[49] + (vX_[896] * vX_[2] + vX_[2856] * vX_[67] + vX_[218] * vX_[66] + (0 - vX_[3770]) * 0.414812462825713 + (0 - (vX_[2854] * vX_[62] + vX_[2853] * vX_[76]) + vX_[268] + vX_[218] * vX_[58]) * 0.881 + (0 - vX_[198]) * -0.00185880198235362 + (0 - (vX_[2698] * vX_[76] + vX_[2732] * vX_[79] + (vX_[2732] * vX_[62] + vX_[2553] * vX_[76]) * 2.)) * -8.81e-05 + vX_[896] * -0.0004405 + vX_[218] * -0.2209548) * -0.35 + vX_[2347] * vX_[835] + vX_[2696] * vX_[824] + vX_[2078] * vX_[829] + vX_[2697] * vX_[826] + (vX_[2600] * vX_[856] + vX_[2347] * vX_[818]) * 0.35) * vX_[195] + (vX_[3679] * vX_[854] + vX_[2716] * vX_[851] + vX_[213] * vX_[82] + vX_[2581] * -0.00185880198235362 + vX_[972] * -7.4114911576828e-06 + vX_[815] * vX_[46] + vX_[3668] * vX_[78] + vX_[2851] * vX_[36] + (vX_[2800] * vX_[79] + vX_[2851] * vX_[76]) * -8.81e-05 + vX_[2854] * vX_[60] + vX_[158] * vX_[48] + vX_[2732] * vX_[6] + vX_[2695] * vX_[74] + vX_[2883] * vX_[49] + vX_[2560] * vX_[10] + vX_[2696] * vX_[835] + vX_[2697] * vX_[829] - (vX_[204] * vX_[856] + vX_[2347] * vX_[824]) + (vX_[2600] * vX_[854] + vX_[2427] * vX_[57] + vX_[2605] * vX_[2] + vX_[3770] * -0.00185880198235362 + vX_[198] * 0.880992588508842 + (0 - (vX_[2854] * vX_[76] + vX_[2853] * vX_[79] + vX_[3708] + vX_[896] * vX_[58] + vX_[2605] * vX_[77])) * 0.881 + (0 - (vX_[2695] * vX_[62] + vX_[2732] * vX_[76]) + (vX_[2732] * vX_[76] + vX_[2553] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[896]) * -0.1104774 + (0 - vX_[1827]) * -0.000881 + vX_[2696] * vX_[818]) * 0.35 - (vX_[2737] * vX_[852] + vX_[3717] * vX_[81] + vX_[2714] * vX_[59] + vX_[2800] * vX_[37] + vX_[2844] * vX_[63] + (vX_[3668] * vX_[62] + vX_[2844] * vX_[76]) * 8.81e-05 + vX_[2853] * vX_[47] + vX_[2553] * vX_[56] + vX_[3735] * vX_[45] + vX_[2732] * vX_[54] + vX_[2078] * vX_[826])) * vX_[3573];
+ vX_[3745] = vX_[350] + vX_[3006] * vX_[4] + vX_[3745] * vX_[8] + vX_[168] * vX_[869];
+ vX_[2864] = vX_[350] + vX_[746] * vX_[65] + vX_[2864] * vX_[71] + vX_[3706] * vX_[870];
+ vX_[350] = vX_[3745] - vX_[2864];
+ vX_[1060] = vX_[3006] * vX_[65] + vX_[746] * vX_[4] + vX_[2771] * vX_[71] + vX_[1060] * vX_[8] + vX_[168] * vX_[870] + vX_[3706] * vX_[869];
+ vX_[2771] = vX_[350] * vX_[76] + vX_[1060] * vX_[79];
+ vX_[746] = vX_[350] * vX_[62] + vX_[1060] * vX_[76];
+ vX_[3745] = 0 - vX_[3745];
+ vX_[3006] = 0 - vX_[1060];
+ vX_[3001] = vX_[2723] * vX_[4] + vX_[327] * vX_[65] + vX_[3001] * vX_[8] + vX_[168] * vX_[866] + vX_[2866] * vX_[869];
+ vX_[2605] = 0 - vX_[3001];
+ vX_[2743] = vX_[2723] * vX_[65] + vX_[327] * vX_[9] + vX_[2743] * vX_[8] + vX_[168] * vX_[867] + vX_[2887] * vX_[869];
+ vX_[2723] = 0 - vX_[2743];
+ vX_[327] = (vX_[3745] * vX_[26] + vX_[3006] * vX_[44] + vX_[2605] * vX_[32] + vX_[2723] * vX_[69]) * 1 / vX_[41];
+ vX_[3745] = vX_[3771] * vX_[847] + vX_[3745] * vX_[25] + vX_[327];
+ vX_[2864] = 0 - vX_[2864];
+ vX_[2950] = vX_[3033] * vX_[4] + vX_[339] * vX_[65] + vX_[2950] * vX_[71] + vX_[3706] * vX_[866] + vX_[2866] * vX_[870];
+ vX_[2695] = 0 - vX_[2950];
+ vX_[2994] = vX_[3033] * vX_[65] + vX_[339] * vX_[9] + vX_[2994] * vX_[71] + vX_[3706] * vX_[867] + vX_[2887] * vX_[870];
+ vX_[3033] = 0 - vX_[2994];
+ vX_[339] = (vX_[2864] * vX_[44] + vX_[2695] * vX_[32] + vX_[3033] * vX_[69]) * 1 / vX_[41];
+ vX_[2864] = vX_[933] * vX_[847] + vX_[3006] * vX_[25] + vX_[2864] * vX_[14] + vX_[339];
+ vX_[3004] = vX_[2848] + vX_[3386] * vX_[8] + vX_[3004] * vX_[71] * 2. + vX_[2882] * vX_[867] - vX_[2864];
+ vX_[3003] = 0 - (vX_[1609] + vX_[3003] * vX_[71] + vX_[936] * vX_[8] * 2. + vX_[2882] * vX_[866]) + vX_[3745];
+ vX_[936] = vX_[936] + vX_[2866] * vX_[866];
+ vX_[947] = vX_[947] + vX_[2887] * vX_[867];
+ vX_[1609] = vX_[936] - vX_[947];
+ vX_[2882] = 0 - vX_[936];
+ vX_[3386] = vX_[3386] + vX_[2866] * vX_[867] + vX_[2887] * vX_[866];
+ vX_[2848] = 0 - vX_[3386];
+ vX_[3006] = (vX_[2882] * vX_[32] + vX_[2848] * vX_[69]) * 1 / vX_[41];
+ vX_[2882] = vX_[2702] * vX_[847] + vX_[2605] * vX_[25] + vX_[2695] * vX_[14] + vX_[2882] * vX_[35] + vX_[3006];
+ vX_[2695] = 0 - vX_[947];
+ vX_[2605] = vX_[2695] * vX_[69] * 1 / vX_[41];
+ vX_[2695] = vX_[2845] * vX_[847] + vX_[2723] * vX_[25] + vX_[3033] * vX_[14] + vX_[2848] * vX_[35] + vX_[2695] * vX_[1] + vX_[2605];
+ vX_[2848] = 0 - vX_[2695];
+ vX_[3033] = vX_[1609] * vX_[76] + vX_[3386] * vX_[79];
+ vX_[2723] = vX_[1609] * vX_[62] + vX_[3386] * vX_[76];
+ vX_[198] = vX_[3033] * vX_[62] + vX_[2723] * vX_[76];
+ vX_[3708] = vX_[947] + vX_[3033] * vX_[76];
+ vX_[3770] = vX_[947] + vX_[2723] * vX_[62];
+ vX_[2605] = vX_[936] + vX_[947] + 0 - vX_[3771] * vX_[871] - vX_[933] * vX_[825] - vX_[2884] * vX_[864] + vX_[2884] * vX_[847] - vX_[2702] * vX_[860] - vX_[2845] * vX_[857] - vX_[327] * vX_[25] - vX_[339] * vX_[14] - vX_[3006] * vX_[35] - vX_[2605] * vX_[1] - vX_[3708] - vX_[3770];
+ vX_[3006] = 0 - vX_[2605];
+ vX_[947] = vX_[3745] * vX_[76] + vX_[2864] * vX_[79];
+ vX_[936] = vX_[947] + vX_[3006] * vX_[58];
+ vX_[339] = vX_[3745] * vX_[62] + vX_[2864] * vX_[76];
+ vX_[327] = vX_[339] + vX_[2605] * vX_[77];
+ vX_[2845] = 0 - vX_[2695];
+ vX_[2702] = 0 - vX_[3770];
+ jac[644] = 0 - (vX_[168] * vX_[856] + vX_[3706] * vX_[854] + vX_[2866] * vX_[852] + vX_[2887] * vX_[851] + vX_[350] * vX_[81] + vX_[1060] * vX_[82] + vX_[2771] * -0.466187537174287 + vX_[746] * -0.00185880198235362 + vX_[3745] * vX_[59] + vX_[2864] * vX_[46] + vX_[2950] * vX_[36] + vX_[2743] * vX_[63] + vX_[3001] * vX_[37] + vX_[2994] * vX_[78] + (vX_[2950] * vX_[76] + vX_[3001] * vX_[62]) * 8.81e-05 + (vX_[2743] * vX_[76] + vX_[2994] * vX_[79]) * -8.81e-05 + vX_[3004] * vX_[47] + vX_[3003] * vX_[60] + vX_[1609] * vX_[45] + vX_[2882] * vX_[56] + vX_[2695] * vX_[6] + vX_[3386] * vX_[48] + vX_[2848] * vX_[54] + vX_[2882] * vX_[74] + vX_[3033] * vX_[83] + vX_[2723] * vX_[49] + (vX_[198] * vX_[2] + vX_[3006] * vX_[67] + vX_[3708] * vX_[66] + (0 - vX_[936]) * 0.414812462825713 + (0 - (vX_[3004] * vX_[62] + vX_[3003] * vX_[76]) + vX_[947] + vX_[3708] * vX_[58]) * 0.881 + (0 - vX_[327]) * -0.00185880198235362 + (0 - (vX_[2848] * vX_[76] + vX_[2882] * vX_[79] + (vX_[2882] * vX_[62] + vX_[2695] * vX_[76]) * 2.)) * -8.81e-05 + vX_[198] * -0.0004405 + vX_[3708] * -0.2209548) * -0.35 + vX_[3731] * vX_[835] + vX_[2846] * vX_[824] + vX_[3519] * vX_[829] + vX_[2847] * vX_[826] + (vX_[2712] * vX_[856] + vX_[3731] * vX_[818]) * 0.35) * vX_[195] + (vX_[168] * vX_[854] + vX_[2866] * vX_[851] + vX_[350] * vX_[82] + vX_[2771] * -0.00185880198235362 + vX_[746] * -7.4114911576828e-06 + vX_[3745] * vX_[46] + vX_[2743] * vX_[78] + vX_[3001] * vX_[36] + (vX_[2950] * vX_[79] + vX_[3001] * vX_[76]) * -8.81e-05 + vX_[3004] * vX_[60] + vX_[1609] * vX_[48] + vX_[2882] * vX_[6] + vX_[2845] * vX_[74] + vX_[3033] * vX_[49] + vX_[2723] * vX_[10] + vX_[2846] * vX_[835] + vX_[2847] * vX_[829] - (vX_[3706] * vX_[856] + vX_[3731] * vX_[824]) + (vX_[2712] * vX_[854] + vX_[2605] * vX_[57] + vX_[2702] * vX_[2] + vX_[936] * -0.00185880198235362 + vX_[327] * 0.880992588508842 + (0 - (vX_[3004] * vX_[76] + vX_[3003] * vX_[79] + vX_[339] + vX_[198] * vX_[58] + vX_[2702] * vX_[77])) * 0.881 + (0 - (vX_[2845] * vX_[62] + vX_[2882] * vX_[76]) + (vX_[2882] * vX_[76] + vX_[2695] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[198]) * -0.1104774 + (0 - vX_[3770]) * -0.000881 + vX_[2846] * vX_[818]) * 0.35 - (vX_[2887] * vX_[852] + vX_[1060] * vX_[81] + vX_[2864] * vX_[59] + vX_[2950] * vX_[37] + vX_[2994] * vX_[63] + (vX_[2743] * vX_[62] + vX_[2994] * vX_[76]) * 8.81e-05 + vX_[3003] * vX_[47] + vX_[2695] * vX_[56] + vX_[3386] * vX_[45] + vX_[2882] * vX_[54] + vX_[3519] * vX_[826])) * vX_[3573];
+ vX_[123] = vX_[445] + vX_[3148] * vX_[4] + vX_[123] * vX_[8] + vX_[3642] * vX_[869];
+ vX_[3014] = vX_[445] + vX_[2621] * vX_[65] + vX_[3014] * vX_[71] + vX_[3273] * vX_[870];
+ vX_[445] = vX_[123] - vX_[3014];
+ vX_[3040] = vX_[3148] * vX_[65] + vX_[2621] * vX_[4] + vX_[2921] * vX_[71] + vX_[3040] * vX_[8] + vX_[3642] * vX_[870] + vX_[3273] * vX_[869];
+ vX_[2921] = vX_[445] * vX_[76] + vX_[3040] * vX_[79];
+ vX_[2621] = vX_[445] * vX_[62] + vX_[3040] * vX_[76];
+ vX_[123] = 0 - vX_[123];
+ vX_[3148] = 0 - vX_[3040];
+ vX_[3260] = vX_[3049] * vX_[4] + vX_[2756] * vX_[65] + vX_[3260] * vX_[8] + vX_[3642] * vX_[866] + vX_[3016] * vX_[869];
+ vX_[2702] = 0 - vX_[3260];
+ vX_[2834] = vX_[3049] * vX_[65] + vX_[2756] * vX_[9] + vX_[2834] * vX_[8] + vX_[3642] * vX_[867] + vX_[3037] * vX_[869];
+ vX_[3049] = 0 - vX_[2834];
+ vX_[2756] = (vX_[123] * vX_[26] + vX_[3148] * vX_[44] + vX_[2702] * vX_[32] + vX_[3049] * vX_[69]) * 1 / vX_[41];
+ vX_[123] = vX_[3487] * vX_[847] + vX_[123] * vX_[25] + vX_[2756];
+ vX_[3014] = 0 - vX_[3014];
+ vX_[3085] = vX_[2873] * vX_[4] + vX_[3081] * vX_[65] + vX_[3085] * vX_[71] + vX_[3273] * vX_[866] + vX_[3016] * vX_[870];
+ vX_[2845] = 0 - vX_[3085];
+ vX_[1810] = vX_[2873] * vX_[65] + vX_[3081] * vX_[9] + vX_[1810] * vX_[71] + vX_[3273] * vX_[867] + vX_[3037] * vX_[870];
+ vX_[2873] = 0 - vX_[1810];
+ vX_[3081] = (vX_[3014] * vX_[44] + vX_[2845] * vX_[32] + vX_[2873] * vX_[69]) * 1 / vX_[41];
+ vX_[3014] = vX_[324] * vX_[847] + vX_[3148] * vX_[25] + vX_[3014] * vX_[14] + vX_[3081];
+ vX_[1639] = vX_[2998] + vX_[2315] * vX_[8] + vX_[1639] * vX_[71] * 2. + vX_[3032] * vX_[867] - vX_[3014];
+ vX_[3136] = 0 - (vX_[2760] + vX_[3136] * vX_[71] + vX_[3635] * vX_[8] * 2. + vX_[3032] * vX_[866]) + vX_[123];
+ vX_[3635] = vX_[3635] + vX_[3016] * vX_[866];
+ vX_[982] = vX_[982] + vX_[3037] * vX_[867];
+ vX_[2760] = vX_[3635] - vX_[982];
+ vX_[3032] = 0 - vX_[3635];
+ vX_[2315] = vX_[2315] + vX_[3016] * vX_[867] + vX_[3037] * vX_[866];
+ vX_[2998] = 0 - vX_[2315];
+ vX_[3148] = (vX_[3032] * vX_[32] + vX_[2998] * vX_[69]) * 1 / vX_[41];
+ vX_[3032] = vX_[2852] * vX_[847] + vX_[2702] * vX_[25] + vX_[2845] * vX_[14] + vX_[3032] * vX_[35] + vX_[3148];
+ vX_[2845] = 0 - vX_[982];
+ vX_[2702] = vX_[2845] * vX_[69] * 1 / vX_[41];
+ vX_[2845] = vX_[2995] * vX_[847] + vX_[3049] * vX_[25] + vX_[2873] * vX_[14] + vX_[2998] * vX_[35] + vX_[2845] * vX_[1] + vX_[2702];
+ vX_[2998] = 0 - vX_[2845];
+ vX_[2873] = vX_[2760] * vX_[76] + vX_[2315] * vX_[79];
+ vX_[3049] = vX_[2760] * vX_[62] + vX_[2315] * vX_[76];
+ vX_[327] = vX_[2873] * vX_[62] + vX_[3049] * vX_[76];
+ vX_[339] = vX_[982] + vX_[2873] * vX_[76];
+ vX_[936] = vX_[982] + vX_[3049] * vX_[62];
+ vX_[2702] = vX_[3635] + vX_[982] + 0 - vX_[3487] * vX_[871] - vX_[324] * vX_[825] - vX_[3034] * vX_[864] + vX_[3034] * vX_[847] - vX_[2852] * vX_[860] - vX_[2995] * vX_[857] - vX_[2756] * vX_[25] - vX_[3081] * vX_[14] - vX_[3148] * vX_[35] - vX_[2702] * vX_[1] - vX_[339] - vX_[936];
+ vX_[3148] = 0 - vX_[2702];
+ vX_[982] = vX_[123] * vX_[76] + vX_[3014] * vX_[79];
+ vX_[3635] = vX_[982] + vX_[3148] * vX_[58];
+ vX_[3081] = vX_[123] * vX_[62] + vX_[3014] * vX_[76];
+ vX_[2756] = vX_[3081] + vX_[2702] * vX_[77];
+ vX_[2995] = 0 - vX_[2845];
+ vX_[2852] = 0 - vX_[936];
+ jac[645] = 0 - (vX_[3642] * vX_[856] + vX_[3273] * vX_[854] + vX_[3016] * vX_[852] + vX_[3037] * vX_[851] + vX_[445] * vX_[81] + vX_[3040] * vX_[82] + vX_[2921] * -0.466187537174287 + vX_[2621] * -0.00185880198235362 + vX_[123] * vX_[59] + vX_[3014] * vX_[46] + vX_[3085] * vX_[36] + vX_[2834] * vX_[63] + vX_[3260] * vX_[37] + vX_[1810] * vX_[78] + (vX_[3085] * vX_[76] + vX_[3260] * vX_[62]) * 8.81e-05 + (vX_[2834] * vX_[76] + vX_[1810] * vX_[79]) * -8.81e-05 + vX_[1639] * vX_[47] + vX_[3136] * vX_[60] + vX_[2760] * vX_[45] + vX_[3032] * vX_[56] + vX_[2845] * vX_[6] + vX_[2315] * vX_[48] + vX_[2998] * vX_[54] + vX_[3032] * vX_[74] + vX_[2873] * vX_[83] + vX_[3049] * vX_[49] + (vX_[327] * vX_[2] + vX_[3148] * vX_[67] + vX_[339] * vX_[66] + (0 - vX_[3635]) * 0.414812462825713 + (0 - (vX_[1639] * vX_[62] + vX_[3136] * vX_[76]) + vX_[982] + vX_[339] * vX_[58]) * 0.881 + (0 - vX_[2756]) * -0.00185880198235362 + (0 - (vX_[2998] * vX_[76] + vX_[3032] * vX_[79] + (vX_[3032] * vX_[62] + vX_[2845] * vX_[76]) * 2.)) * -8.81e-05 + vX_[327] * -0.0004405 + vX_[339] * -0.2209548) * -0.35 + vX_[151] * vX_[835] + vX_[2996] * vX_[824] + vX_[166] * vX_[829] + vX_[2997] * vX_[826] + (vX_[2862] * vX_[856] + vX_[151] * vX_[818]) * 0.35) * vX_[195] + (vX_[3642] * vX_[854] + vX_[3016] * vX_[851] + vX_[445] * vX_[82] + vX_[2921] * -0.00185880198235362 + vX_[2621] * -7.4114911576828e-06 + vX_[123] * vX_[46] + vX_[2834] * vX_[78] + vX_[3260] * vX_[36] + (vX_[3085] * vX_[79] + vX_[3260] * vX_[76]) * -8.81e-05 + vX_[1639] * vX_[60] + vX_[2760] * vX_[48] + vX_[3032] * vX_[6] + vX_[2995] * vX_[74] + vX_[2873] * vX_[49] + vX_[3049] * vX_[10] + vX_[2996] * vX_[835] + vX_[2997] * vX_[829] - (vX_[3273] * vX_[856] + vX_[151] * vX_[824]) + (vX_[2862] * vX_[854] + vX_[2702] * vX_[57] + vX_[2852] * vX_[2] + vX_[3635] * -0.00185880198235362 + vX_[2756] * 0.880992588508842 + (0 - (vX_[1639] * vX_[76] + vX_[3136] * vX_[79] + vX_[3081] + vX_[327] * vX_[58] + vX_[2852] * vX_[77])) * 0.881 + (0 - (vX_[2995] * vX_[62] + vX_[3032] * vX_[76]) + (vX_[3032] * vX_[76] + vX_[2845] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[327]) * -0.1104774 + (0 - vX_[936]) * -0.000881 + vX_[2996] * vX_[818]) * 0.35 - (vX_[3037] * vX_[852] + vX_[3040] * vX_[81] + vX_[3014] * vX_[59] + vX_[3085] * vX_[37] + vX_[1810] * vX_[63] + (vX_[2834] * vX_[62] + vX_[1810] * vX_[76]) * 8.81e-05 + vX_[3136] * vX_[47] + vX_[2845] * vX_[56] + vX_[2315] * vX_[45] + vX_[3032] * vX_[54] + vX_[166] * vX_[826])) * vX_[3573];
+ vX_[2814] = vX_[1792] + vX_[3300] * vX_[4] + vX_[2814] * vX_[8] + vX_[2968] * vX_[869];
+ vX_[3156] = vX_[1792] + vX_[387] * vX_[65] + vX_[3156] * vX_[71] + vX_[2030] * vX_[870];
+ vX_[1792] = vX_[2814] - vX_[3156];
+ vX_[3189] = vX_[3300] * vX_[65] + vX_[387] * vX_[4] + vX_[3023] * vX_[71] + vX_[3189] * vX_[8] + vX_[2968] * vX_[870] + vX_[2030] * vX_[869];
+ vX_[3023] = vX_[1792] * vX_[76] + vX_[3189] * vX_[79];
+ vX_[387] = vX_[1792] * vX_[62] + vX_[3189] * vX_[76];
+ vX_[834] = vX_[833] * vX_[1018] + vX_[64] * vX_[1248] + vX_[834] * vX_[1898] + vX_[869];
+ vX_[2814] = 0 - vX_[2814];
+ vX_[64] = 0 - vX_[3189];
+ vX_[3327] = vX_[3144] * vX_[4] + vX_[404] * vX_[65] + vX_[3327] * vX_[8] + vX_[2968] * vX_[866] + vX_[3158] * vX_[869];
+ vX_[3300] = 0 - vX_[3327];
+ vX_[3213] = vX_[3144] * vX_[65] + vX_[404] * vX_[9] + vX_[3213] * vX_[8] + vX_[2968] * vX_[867] + vX_[3179] * vX_[869];
+ vX_[3144] = 0 - vX_[3213];
+ vX_[404] = (vX_[2814] * vX_[26] + vX_[64] * vX_[44] + vX_[3300] * vX_[32] + vX_[3144] * vX_[69]) * 1 / vX_[41];
+ vX_[2814] = vX_[3167] * vX_[834] + vX_[1783] * vX_[847] + vX_[2814] * vX_[25] + vX_[404];
+ vX_[1018] = vX_[819] * vX_[1018] + vX_[9] * vX_[1248] + vX_[71] * vX_[1898] + vX_[870];
+ vX_[3156] = 0 - vX_[3156];
+ vX_[3194] = vX_[3142] * vX_[4] + vX_[3191] * vX_[65] + vX_[3194] * vX_[71] + vX_[2030] * vX_[866] + vX_[3158] * vX_[870];
+ vX_[1248] = 0 - vX_[3194];
+ vX_[1298] = vX_[3142] * vX_[65] + vX_[3191] * vX_[9] + vX_[1298] * vX_[71] + vX_[2030] * vX_[867] + vX_[3179] * vX_[870];
+ vX_[3142] = 0 - vX_[1298];
+ vX_[3191] = (vX_[3156] * vX_[44] + vX_[1248] * vX_[32] + vX_[3142] * vX_[69]) * 1 / vX_[41];
+ vX_[3156] = vX_[3172] * vX_[1018] + vX_[783] * vX_[847] + vX_[64] * vX_[25] + vX_[3156] * vX_[14] + vX_[3191];
+ vX_[2598] = vX_[3140] + vX_[1427] * vX_[8] + vX_[2598] * vX_[71] * 2. + vX_[3174] * vX_[867] - vX_[3156];
+ vX_[3288] = 0 - (vX_[578] + vX_[3288] * vX_[71] + vX_[2682] * vX_[8] * 2. + vX_[3174] * vX_[866]) + vX_[2814];
+ vX_[2682] = vX_[2682] + vX_[3158] * vX_[866];
+ vX_[1914] = vX_[1914] + vX_[3179] * vX_[867];
+ vX_[578] = vX_[2682] - vX_[1914];
+ vX_[3174] = vX_[4] * vX_[2334] + vX_[65] * vX_[3084] + vX_[866];
+ vX_[3140] = 0 - vX_[2682];
+ vX_[1427] = vX_[1427] + vX_[3158] * vX_[867] + vX_[3179] * vX_[866];
+ vX_[64] = 0 - vX_[1427];
+ vX_[3172] = (vX_[3140] * vX_[32] + vX_[64] * vX_[69]) * 1 / vX_[41];
+ vX_[3140] = vX_[3226] * vX_[3174] + vX_[3047] * vX_[847] + vX_[3300] * vX_[25] + vX_[1248] * vX_[14] + vX_[3140] * vX_[35] + vX_[3172];
+ vX_[2334] = vX_[65] * vX_[2334] + vX_[9] * vX_[3084] + vX_[867];
+ vX_[3084] = 0 - vX_[1914];
+ vX_[1248] = vX_[3084] * vX_[69] * 1 / vX_[41];
+ vX_[3084] = vX_[3223] * vX_[2334] + vX_[3137] * vX_[847] + vX_[3144] * vX_[25] + vX_[3142] * vX_[14] + vX_[64] * vX_[35] + vX_[3084] * vX_[1] + vX_[1248];
+ vX_[64] = 0 - vX_[3084];
+ vX_[3142] = vX_[578] * vX_[76] + vX_[1427] * vX_[79];
+ vX_[3144] = vX_[578] * vX_[62] + vX_[1427] * vX_[76];
+ vX_[3223] = vX_[3142] * vX_[62] + vX_[3144] * vX_[76];
+ vX_[3300] = (vX_[847] - vX_[41] * vX_[1898] - vX_[32] * vX_[3174] - vX_[69] * vX_[2334] - vX_[26] * vX_[834] - vX_[44] * vX_[1018]) / vX_[41];
+ vX_[3226] = vX_[1914] + vX_[3142] * vX_[76];
+ vX_[3167] = vX_[1914] + vX_[3144] * vX_[62];
+ vX_[1248] = vX_[2682] + vX_[1914] + 0 - vX_[3227] * vX_[3300] + vX_[3188] * vX_[1898] - vX_[1783] * vX_[871] - vX_[783] * vX_[825] - vX_[3176] * vX_[864] + vX_[3176] * vX_[847] - vX_[3047] * vX_[860] - vX_[3137] * vX_[857] - vX_[404] * vX_[25] - vX_[3191] * vX_[14] - vX_[3172] * vX_[35] - vX_[1248] * vX_[1] - vX_[3226] - vX_[3167];
+ vX_[3172] = 0 - vX_[1248];
+ vX_[1914] = vX_[2814] * vX_[76] + vX_[3156] * vX_[79];
+ vX_[2682] = vX_[1914] + vX_[3172] * vX_[58];
+ vX_[3191] = vX_[2814] * vX_[62] + vX_[3156] * vX_[76];
+ vX_[404] = vX_[3191] + vX_[1248] * vX_[77];
+ vX_[3137] = 0 - vX_[3084];
+ vX_[3047] = 0 - vX_[3167];
+ jac[646] = 0 - (vX_[2968] * vX_[856] + vX_[2030] * vX_[854] + vX_[3158] * vX_[852] + vX_[3179] * vX_[851] + vX_[1792] * vX_[81] + vX_[3189] * vX_[82] + vX_[3023] * -0.466187537174287 + vX_[387] * -0.00185880198235362 + vX_[2814] * vX_[59] + vX_[3156] * vX_[46] + vX_[3194] * vX_[36] + vX_[3213] * vX_[63] + vX_[3327] * vX_[37] + vX_[1298] * vX_[78] + (vX_[3194] * vX_[76] + vX_[3327] * vX_[62]) * 8.81e-05 + (vX_[3213] * vX_[76] + vX_[1298] * vX_[79]) * -8.81e-05 + vX_[2598] * vX_[47] + vX_[3288] * vX_[60] + vX_[578] * vX_[45] + vX_[3140] * vX_[56] + vX_[3084] * vX_[6] + vX_[1427] * vX_[48] + vX_[64] * vX_[54] + vX_[3140] * vX_[74] + vX_[3142] * vX_[83] + vX_[3144] * vX_[49] + (vX_[3223] * vX_[2] + vX_[3172] * vX_[67] + vX_[3226] * vX_[66] + (0 - vX_[2682]) * 0.414812462825713 + (0 - (vX_[2598] * vX_[62] + vX_[3288] * vX_[76]) + vX_[1914] + vX_[3226] * vX_[58]) * 0.881 + (0 - vX_[404]) * -0.00185880198235362 + (0 - (vX_[64] * vX_[76] + vX_[3140] * vX_[79] + (vX_[3140] * vX_[62] + vX_[3084] * vX_[76]) * 2.)) * -8.81e-05 + vX_[3223] * -0.0004405 + vX_[3226] * -0.2209548) * -0.35 + vX_[3391] * vX_[835] + vX_[3138] * vX_[824] + vX_[3684] * vX_[829] + vX_[3139] * vX_[826] + (vX_[3042] * vX_[856] + vX_[3391] * vX_[818]) * 0.35) * vX_[195] + (vX_[2968] * vX_[854] + vX_[3158] * vX_[851] + vX_[1792] * vX_[82] + vX_[3023] * -0.00185880198235362 + vX_[387] * -7.4114911576828e-06 + vX_[2814] * vX_[46] + vX_[3213] * vX_[78] + vX_[3327] * vX_[36] + (vX_[3194] * vX_[79] + vX_[3327] * vX_[76]) * -8.81e-05 + vX_[2598] * vX_[60] + vX_[578] * vX_[48] + vX_[3140] * vX_[6] + vX_[3137] * vX_[74] + vX_[3142] * vX_[49] + vX_[3144] * vX_[10] + vX_[3138] * vX_[835] + vX_[3139] * vX_[829] - (vX_[2030] * vX_[856] + vX_[3391] * vX_[824]) + (vX_[3042] * vX_[854] + vX_[1248] * vX_[57] + vX_[3047] * vX_[2] + vX_[2682] * -0.00185880198235362 + vX_[404] * 0.880992588508842 + (0 - (vX_[2598] * vX_[76] + vX_[3288] * vX_[79] + vX_[3191] + vX_[3223] * vX_[58] + vX_[3047] * vX_[77])) * 0.881 + (0 - (vX_[3137] * vX_[62] + vX_[3140] * vX_[76]) + (vX_[3140] * vX_[76] + vX_[3084] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[3223]) * -0.1104774 + (0 - vX_[3167]) * -0.000881 + vX_[3138] * vX_[818]) * 0.35 - (vX_[3179] * vX_[852] + vX_[3189] * vX_[81] + vX_[3156] * vX_[59] + vX_[3194] * vX_[37] + vX_[1298] * vX_[63] + (vX_[3213] * vX_[62] + vX_[1298] * vX_[76]) * 8.81e-05 + vX_[3288] * vX_[47] + vX_[3084] * vX_[56] + vX_[1427] * vX_[45] + vX_[3140] * vX_[54] + vX_[3684] * vX_[826])) * vX_[3573];
+ vX_[3241] = vX_[2436] + vX_[595] * vX_[4] + vX_[3241] * vX_[8] + vX_[3303] * vX_[869];
+ vX_[3292] = vX_[2436] + vX_[3231] * vX_[65] + vX_[3292] * vX_[71] + vX_[1247] * vX_[870];
+ vX_[2436] = vX_[3241] - vX_[3292];
+ vX_[3308] = vX_[595] * vX_[65] + vX_[3231] * vX_[4] + vX_[2457] * vX_[71] + vX_[3308] * vX_[8] + vX_[3303] * vX_[870] + vX_[1247] * vX_[869];
+ vX_[2457] = vX_[2436] * vX_[76] + vX_[3308] * vX_[79];
+ vX_[3231] = vX_[2436] * vX_[62] + vX_[3308] * vX_[76];
+ vX_[3241] = 0 - vX_[3241];
+ vX_[595] = 0 - vX_[3308];
+ vX_[3294] = vX_[3296] * vX_[4] + vX_[765] * vX_[65] + vX_[3294] * vX_[8] + vX_[3303] * vX_[866] + vX_[3310] * vX_[869];
+ vX_[3047] = 0 - vX_[3294];
+ vX_[1013] = vX_[3296] * vX_[65] + vX_[765] * vX_[9] + vX_[1013] * vX_[8] + vX_[3303] * vX_[867] + vX_[3331] * vX_[869];
+ vX_[3296] = 0 - vX_[1013];
+ vX_[26] = (vX_[3241] * vX_[26] + vX_[595] * vX_[44] + vX_[3047] * vX_[32] + vX_[3296] * vX_[69]) * 1 / vX_[41];
+ vX_[3241] = vX_[3304] * vX_[834] + vX_[753] * vX_[847] + vX_[3241] * vX_[25] + vX_[26];
+ vX_[3292] = 0 - vX_[3292];
+ vX_[3340] = vX_[1855] * vX_[4] + vX_[3342] * vX_[65] + vX_[3340] * vX_[71] + vX_[1247] * vX_[866] + vX_[3310] * vX_[870];
+ vX_[3304] = 0 - vX_[3340];
+ vX_[1899] = vX_[1855] * vX_[65] + vX_[3342] * vX_[9] + vX_[1899] * vX_[71] + vX_[1247] * vX_[867] + vX_[3331] * vX_[870];
+ vX_[1855] = 0 - vX_[1899];
+ vX_[44] = (vX_[3292] * vX_[44] + vX_[3304] * vX_[32] + vX_[1855] * vX_[69]) * 1 / vX_[41];
+ vX_[3292] = vX_[3211] * vX_[1018] + vX_[2011] * vX_[847] + vX_[595] * vX_[25] + vX_[3292] * vX_[14] + vX_[44];
+ vX_[849] = vX_[3411] + vX_[1768] * vX_[8] + vX_[849] * vX_[71] * 2. + vX_[3326] * vX_[867] - vX_[3292];
+ vX_[817] = 0 - (vX_[1846] + vX_[817] * vX_[71] + vX_[3175] * vX_[8] * 2. + vX_[3326] * vX_[866]) + vX_[3241];
+ vX_[3175] = vX_[3175] + vX_[3310] * vX_[866];
+ vX_[2096] = vX_[2096] + vX_[3331] * vX_[867];
+ vX_[1846] = vX_[3175] - vX_[2096];
+ vX_[3326] = 0 - vX_[3175];
+ vX_[1768] = vX_[1768] + vX_[3310] * vX_[867] + vX_[3331] * vX_[866];
+ vX_[867] = 0 - vX_[1768];
+ vX_[32] = (vX_[3326] * vX_[32] + vX_[867] * vX_[69]) * 1 / vX_[41];
+ vX_[3326] = vX_[3240] * vX_[3174] + vX_[3163] * vX_[847] + vX_[3047] * vX_[25] + vX_[3304] * vX_[14] + vX_[3326] * vX_[35] + vX_[32];
+ vX_[3304] = 0 - vX_[2096];
+ vX_[41] = vX_[3304] * vX_[69] * 1 / vX_[41];
+ vX_[3304] = vX_[3374] * vX_[2334] + vX_[3289] * vX_[847] + vX_[3296] * vX_[25] + vX_[1855] * vX_[14] + vX_[867] * vX_[35] + vX_[3304] * vX_[1] + vX_[41];
+ vX_[867] = 0 - vX_[3304];
+ vX_[1855] = vX_[1846] * vX_[76] + vX_[1768] * vX_[79];
+ vX_[3296] = vX_[1846] * vX_[62] + vX_[1768] * vX_[76];
+ vX_[2334] = vX_[1855] * vX_[62] + vX_[3296] * vX_[76];
+ vX_[3374] = vX_[2096] + vX_[1855] * vX_[76];
+ vX_[69] = vX_[2096] + vX_[3296] * vX_[62];
+ vX_[41] = vX_[3175] + vX_[2096] + 0 - vX_[3378] * vX_[3300] + vX_[3339] * vX_[1898] - vX_[753] * vX_[871] - vX_[2011] * vX_[825] - vX_[3328] * vX_[864] + vX_[3328] * vX_[847] - vX_[3163] * vX_[860] - vX_[3289] * vX_[857] - vX_[26] * vX_[25] - vX_[44] * vX_[14] - vX_[32] * vX_[35] - vX_[41] * vX_[1] - vX_[3374] - vX_[69];
+ vX_[32] = 0 - vX_[41];
+ vX_[2096] = vX_[3241] * vX_[76] + vX_[3292] * vX_[79];
+ vX_[3175] = vX_[2096] + vX_[32] * vX_[58];
+ vX_[44] = vX_[3241] * vX_[62] + vX_[3292] * vX_[76];
+ vX_[26] = vX_[44] + vX_[41] * vX_[77];
+ vX_[3300] = vX_[1898] + vX_[3300];
+ vX_[1898] = 0 - vX_[3304];
+ vX_[3289] = 0 - vX_[69];
+ jac[647] = 0 - (-4.21975478400367 * vX_[834] + -0.0168251785646079 * vX_[1018] + vX_[3303] * vX_[856] + vX_[1247] * vX_[854] + vX_[3310] * vX_[852] + vX_[3331] * vX_[851] + vX_[2436] * vX_[81] + vX_[3308] * vX_[82] + vX_[2457] * -0.466187537174287 + vX_[3231] * -0.00185880198235362 + vX_[3241] * vX_[59] + vX_[3292] * vX_[46] + vX_[3340] * vX_[36] + vX_[1013] * vX_[63] + vX_[3294] * vX_[37] + vX_[1899] * vX_[78] + (vX_[3340] * vX_[76] + vX_[3294] * vX_[62]) * 8.81e-05 + (vX_[1013] * vX_[76] + vX_[1899] * vX_[79]) * -8.81e-05 + vX_[849] * vX_[47] + vX_[817] * vX_[60] + vX_[1846] * vX_[45] + vX_[3326] * vX_[56] + vX_[3304] * vX_[6] + vX_[1768] * vX_[48] + vX_[867] * vX_[54] + vX_[3326] * vX_[74] + vX_[1855] * vX_[83] + vX_[3296] * vX_[49] + (vX_[2334] * vX_[2] + vX_[32] * vX_[67] + vX_[3374] * vX_[66] + (0 - vX_[3175]) * 0.414812462825713 + (0 - (vX_[849] * vX_[62] + vX_[817] * vX_[76]) + vX_[2096] + vX_[3374] * vX_[58]) * 0.881 + (0 - vX_[26]) * -0.00185880198235362 + (0 - (vX_[867] * vX_[76] + vX_[3326] * vX_[79] + (vX_[3326] * vX_[62] + vX_[3304] * vX_[76]) * 2.)) * -8.81e-05 + vX_[2334] * -0.0004405 + vX_[3374] * -0.2209548) * -0.35 + vX_[2699] * vX_[835] + vX_[3290] * vX_[824] + vX_[3015] * vX_[829] + vX_[3291] * vX_[826] + (-4.21975478400367 * vX_[3300] + vX_[2987] * vX_[856] + vX_[2699] * vX_[818]) * 0.35) * vX_[195] + (-0.0168251785646079 * vX_[834] + vX_[3303] * vX_[854] + vX_[3310] * vX_[851] + vX_[2436] * vX_[82] + vX_[2457] * -0.00185880198235362 + vX_[3231] * -7.4114911576828e-06 + vX_[3241] * vX_[46] + vX_[1013] * vX_[78] + vX_[3294] * vX_[36] + (vX_[3340] * vX_[79] + vX_[3294] * vX_[76]) * -8.81e-05 + vX_[849] * vX_[60] + vX_[1846] * vX_[48] + vX_[3326] * vX_[6] + vX_[1898] * vX_[74] + vX_[1855] * vX_[49] + vX_[3296] * vX_[10] + vX_[3290] * vX_[835] + vX_[3291] * vX_[829] - (-4.21975478400367 * vX_[1018] + vX_[1247] * vX_[856] + vX_[2699] * vX_[824]) + (-0.0168251785646079 * vX_[3300] + vX_[2987] * vX_[854] + vX_[41] * vX_[57] + vX_[3289] * vX_[2] + vX_[3175] * -0.00185880198235362 + vX_[26] * 0.880992588508842 + (0 - (vX_[849] * vX_[76] + vX_[817] * vX_[79] + vX_[44] + vX_[2334] * vX_[58] + vX_[3289] * vX_[77])) * 0.881 + (0 - (vX_[1898] * vX_[62] + vX_[3326] * vX_[76]) + (vX_[3326] * vX_[76] + vX_[3304] * vX_[79]) * 2.) * 8.81e-05 + (0 - vX_[2334]) * -0.1104774 + (0 - vX_[69]) * -0.000881 + vX_[3290] * vX_[818]) * 0.35 - (vX_[3331] * vX_[852] + vX_[3308] * vX_[81] + vX_[3292] * vX_[59] + vX_[3340] * vX_[37] + vX_[1899] * vX_[63] + (vX_[1013] * vX_[62] + vX_[1899] * vX_[76]) * 8.81e-05 + vX_[817] * vX_[47] + vX_[3304] * vX_[56] + vX_[1768] * vX_[45] + vX_[3326] * vX_[54] + vX_[3015] * vX_[826])) * vX_[3573];
+ vX_[3289] = vX_[685] * -53.433;
+ vX_[1898] = vX_[631] * -1.1915559;
+ vX_[3300] = vX_[761] * 2.0678571;
+ vX_[26] = vX_[3289] - vX_[1898] + vX_[3300];
+ vX_[44] = vX_[676] * 53.433 + (0 - vX_[755]) * -1.1915559 + vX_[761] * -0.0053433;
+ vX_[3175] = vX_[676] * -1.1915559 + vX_[646] * 2.0678571 + vX_[631] * 0.012668 + (0 - vX_[755]) * 4.847485 + (0 - vX_[761]) * -0.00571;
+ vX_[2096] = vX_[685] * -1.1915559 + vX_[646] * -0.0053433 + vX_[631] * 4.374212 + (0 - vX_[755]) * 0.012668 + vX_[761] * 0.190812;
+ vX_[32] = (0 - vX_[676]) * 2.0678571;
+ vX_[41] = (0 - vX_[685]) * -0.0053433;
+ vX_[69] = (0 - vX_[631]) * -0.00571;
+ vX_[3374] = vX_[755] * 0.190812;
+ vX_[2334] = vX_[32] + vX_[41] - vX_[69] - vX_[3374];
+ vX_[127] = vX_[925] + vX_[127] + vX_[187];
+ vX_[127] = vX_[904] * 0.08 + vX_[132] * vX_[4] + vX_[133] * vX_[65] + vX_[895] * vX_[812] + vX_[3658] * vX_[823] + vX_[943] * vX_[808] + vX_[966] * vX_[816] + vX_[127] * vX_[810] + vX_[127] * vX_[810];
+ jac[1206] = vX_[3430] * vX_[876] + vX_[887] * vX_[812] + vX_[889] * vX_[873] + vX_[153] * vX_[808] + vX_[127];
+ vX_[523] = vX_[1103] + vX_[523] + vX_[1448];
+ vX_[523] = vX_[3468] * -0.08 + vX_[612] * vX_[148] + vX_[1188] * vX_[128] + vX_[709] * vX_[814] + vX_[3554] * vX_[894] + vX_[3456] * vX_[882] + vX_[574] * vX_[884] + vX_[523] * vX_[813] + vX_[523] * vX_[813];
+ jac[1098] = vX_[1338] * vX_[931] + vX_[3421] * vX_[814] + vX_[2174] * vX_[928] + vX_[1444] * vX_[882] + vX_[523];
+ vX_[740] = vX_[421] + vX_[740] + vX_[381];
+ vX_[740] = vX_[385] * 0.08 + vX_[3404] * vX_[266] + vX_[357] * vX_[238] + vX_[371] * vX_[934] + vX_[3265] * vX_[957] + vX_[733] * vX_[937] + vX_[3359] * vX_[950] + vX_[740] * vX_[840] + vX_[740] * vX_[840];
+ jac[990] = vX_[3263] * vX_[1010] + vX_[375] * vX_[934] + vX_[425] * vX_[1007] + vX_[397] * vX_[937] + vX_[740];
+ vX_[1089] = vX_[1121] + vX_[1089] + vX_[1123];
+ vX_[1089] = vX_[798] * -0.08 + vX_[1118] * vX_[383] + vX_[1117] * vX_[356] + vX_[800] * vX_[725] + vX_[1092] * vX_[690] + vX_[796] * vX_[704] + vX_[1090] * vX_[664] + vX_[1089] * vX_[697] + vX_[1089] * vX_[697];
+ jac[666] = vX_[26] * x_in[23] + vX_[44] * x_in[22] + vX_[3175] * x_in[20] + vX_[2096] * x_in[19] + vX_[2334] * x_in[18] + vX_[2334] * x_in[18] + vX_[127] + vX_[181] * vX_[811] + vX_[940] * vX_[5] + vX_[573] * vX_[880] + vX_[1198] * vX_[126] + vX_[523] * -1 + vX_[740] + vX_[374] * vX_[935] + vX_[732] * vX_[236] + vX_[803] * vX_[724] + vX_[1095] * vX_[354] + vX_[1089] * -1;
+ jac[882] = vX_[1094] * vX_[722] + vX_[802] * vX_[725] + vX_[1120] * vX_[719] + vX_[1125] * vX_[704] + vX_[1089];
+ vX_[1089] = vX_[1096] * -53.433;
+ vX_[1120] = vX_[1063] * -1.1915559;
+ vX_[1125] = vX_[752] * 2.0678571;
+ vX_[1094] = vX_[1089] - vX_[1120] + vX_[1125];
+ vX_[802] = vX_[1028] * 53.433 + (0 - vX_[670]) * -1.1915559 + vX_[752] * -0.0053433;
+ vX_[740] = vX_[1028] * -1.1915559 + vX_[758] * 2.0678571 + vX_[1063] * 0.012668 + (0 - vX_[670]) * 4.847485 + (0 - vX_[752]) * -0.00571;
+ vX_[523] = vX_[1096] * -1.1915559 + vX_[758] * -0.0053433 + vX_[1063] * 4.374212 + (0 - vX_[670]) * 0.012668 + vX_[752] * 0.190812;
+ vX_[127] = (0 - vX_[1028]) * 2.0678571;
+ vX_[2334] = (0 - vX_[1096]) * -0.0053433;
+ vX_[1090] = (0 - vX_[1063]) * -0.00571;
+ vX_[1117] = vX_[670] * 0.190812;
+ vX_[1118] = vX_[127] + vX_[2334] - vX_[1090] - vX_[1117];
+ vX_[652] = vX_[1970] + vX_[652] + vX_[2786];
+ vX_[652] = vX_[131] * 0.08 + vX_[3453] * vX_[4] + vX_[395] * vX_[65] + vX_[973] * vX_[812] + vX_[1379] * vX_[823] + vX_[3579] * vX_[808] + vX_[2647] * vX_[816] + vX_[652] * vX_[810] + vX_[652] * vX_[810];
+ jac[1207] = vX_[2917] * vX_[876] + vX_[945] * vX_[812] + vX_[2944] * vX_[873] + vX_[233] * vX_[808] + vX_[652];
+ vX_[1207] = vX_[1556] + vX_[1207] + vX_[1502];
+ vX_[1207] = vX_[3571] * -0.08 + vX_[2169] * vX_[148] + vX_[1426] * vX_[128] + vX_[1596] * vX_[814] + vX_[1182] * vX_[894] + vX_[952] * vX_[882] + vX_[1371] * vX_[884] + vX_[1207] * vX_[813] + vX_[1207] * vX_[813];
+ jac[1099] = vX_[1283] * vX_[931] + vX_[1093] * vX_[814] + vX_[1275] * vX_[928] + vX_[454] * vX_[882] + vX_[1207];
+ vX_[3041] = vX_[2820] + vX_[3041] + vX_[2893];
+ vX_[3041] = vX_[3197] * 0.08 + vX_[2982] * vX_[266] + vX_[3207] * vX_[238] + vX_[3203] * vX_[934] + vX_[2911] * vX_[957] + vX_[2980] * vX_[937] + vX_[2905] * vX_[950] + vX_[3041] * vX_[840] + vX_[3041] * vX_[840];
+ jac[991] = vX_[2855] * vX_[1010] + vX_[3183] * vX_[934] + vX_[3057] * vX_[1007] + vX_[2913] * vX_[937] + vX_[3041];
+ vX_[1222] = vX_[1254] + vX_[1222] + vX_[1256];
+ vX_[1222] = vX_[1132] * -0.08 + vX_[1251] * vX_[383] + vX_[1250] * vX_[356] + vX_[1134] * vX_[725] + vX_[1225] * vX_[690] + vX_[1130] * vX_[704] + vX_[1223] * vX_[664] + vX_[1222] * vX_[697] + vX_[1222] * vX_[697];
+ jac[667] = vX_[1094] * x_in[23] + vX_[802] * x_in[22] + vX_[740] * x_in[20] + vX_[523] * x_in[19] + vX_[1118] * x_in[18] + vX_[1118] * x_in[18] + vX_[652] + vX_[3672] * vX_[811] + vX_[3493] * vX_[5] + vX_[1070] * vX_[880] + vX_[1567] * vX_[126] + vX_[1207] * -1 + vX_[3041] + vX_[2976] * vX_[935] + vX_[3098] * vX_[236] + vX_[1137] * vX_[724] + vX_[1228] * vX_[354] + vX_[1222] * -1;
+ jac[883] = vX_[1227] * vX_[722] + vX_[1136] * vX_[725] + vX_[1253] * vX_[719] + vX_[1258] * vX_[704] + vX_[1222];
+ vX_[1222] = vX_[1233] * -53.433;
+ vX_[1253] = vX_[1184] * -1.1915559;
+ vX_[1258] = vX_[1061] * 2.0678571;
+ vX_[1227] = vX_[1222] - vX_[1253] + vX_[1258];
+ vX_[1136] = vX_[1229] * 53.433 + (0 - vX_[1193]) * -1.1915559 + vX_[1061] * -0.0053433;
+ vX_[3041] = vX_[1229] * -1.1915559 + vX_[1160] * 2.0678571 + vX_[1184] * 0.012668 + (0 - vX_[1193]) * 4.847485 + (0 - vX_[1061]) * -0.00571;
+ vX_[1207] = vX_[1233] * -1.1915559 + vX_[1160] * -0.0053433 + vX_[1184] * 4.374212 + (0 - vX_[1193]) * 0.012668 + vX_[1061] * 0.190812;
+ vX_[652] = (0 - vX_[1229]) * 2.0678571;
+ vX_[1118] = (0 - vX_[1233]) * -0.0053433;
+ vX_[1223] = (0 - vX_[1184]) * -0.00571;
+ vX_[1250] = vX_[1193] * 0.190812;
+ vX_[1251] = vX_[652] + vX_[1118] - vX_[1223] - vX_[1250];
+ vX_[1366] = vX_[2896] + vX_[1366] + vX_[3202];
+ vX_[1366] = vX_[3429] * 0.08 + vX_[1044] * vX_[4] + vX_[749] * vX_[65] + vX_[295] * vX_[812] + vX_[1078] * vX_[823] + vX_[3005] * vX_[808] + vX_[2179] * vX_[816] + vX_[1366] * vX_[810] + vX_[1366] * vX_[810];
+ jac[1208] = vX_[3275] * vX_[876] + vX_[993] * vX_[812] + vX_[2824] * vX_[873] + vX_[903] * vX_[808] + vX_[1366];
+ vX_[2611] = vX_[2991] + vX_[2611] + vX_[3059];
+ vX_[2611] = vX_[598] * -0.08 + vX_[399] * vX_[148] + vX_[2596] * vX_[128] + vX_[1306] * vX_[814] + vX_[2049] * vX_[894] + vX_[1416] * vX_[882] + vX_[2941] * vX_[884] + vX_[2611] * vX_[813] + vX_[2611] * vX_[813];
+ jac[1100] = vX_[795] * vX_[931] + vX_[1333] * vX_[814] + vX_[3091] * vX_[928] + vX_[3082] * vX_[882] + vX_[2611];
+ vX_[2766] = vX_[2668] + vX_[2766] + vX_[2652];
+ vX_[2766] = vX_[626] * 0.08 + vX_[2750] * vX_[266] + vX_[2629] * vX_[238] + vX_[2912] * vX_[934] + vX_[2620] * vX_[957] + vX_[2790] * vX_[937] + vX_[2614] * vX_[950] + vX_[2766] * vX_[840] + vX_[2766] * vX_[840];
+ jac[992] = vX_[2655] * vX_[1010] + vX_[2916] * vX_[934] + vX_[2537] * vX_[1007] + vX_[2657] * vX_[937] + vX_[2766];
+ vX_[1353] = vX_[1385] + vX_[1353] + vX_[1387];
+ vX_[1353] = vX_[1260] * -0.08 + vX_[1382] * vX_[383] + vX_[1381] * vX_[356] + vX_[1262] * vX_[725] + vX_[1356] * vX_[690] + vX_[1080] * vX_[704] + vX_[1354] * vX_[664] + vX_[1353] * vX_[697] + vX_[1353] * vX_[697];
+ jac[668] = vX_[1227] * x_in[23] + vX_[1136] * x_in[22] + vX_[3041] * x_in[20] + vX_[1207] * x_in[19] + vX_[1251] * x_in[18] + vX_[1251] * x_in[18] + vX_[1366] + vX_[134] * vX_[811] + vX_[1733] * vX_[5] + vX_[3443] * vX_[880] + vX_[2486] * vX_[126] + vX_[2611] * -1 + vX_[2766] + vX_[2915] * vX_[935] + vX_[2534] * vX_[236] + vX_[1265] * vX_[724] + vX_[1359] * vX_[354] + vX_[1353] * -1;
+ jac[884] = vX_[1358] * vX_[722] + vX_[1264] * vX_[725] + vX_[1384] * vX_[719] + vX_[1389] * vX_[704] + vX_[1353];
+ vX_[1353] = vX_[1361] * -53.433;
+ vX_[1384] = vX_[1285] * -1.1915559;
+ vX_[1389] = vX_[1305] * 2.0678571;
+ vX_[1358] = vX_[1353] - vX_[1384] + vX_[1389];
+ vX_[1264] = vX_[1364] * 53.433 + (0 - vX_[1326]) * -1.1915559 + vX_[1305] * -0.0053433;
+ vX_[2766] = vX_[1364] * -1.1915559 + vX_[1332] * 2.0678571 + vX_[1285] * 0.012668 + (0 - vX_[1326]) * 4.847485 + (0 - vX_[1305]) * -0.00571;
+ vX_[2611] = vX_[1361] * -1.1915559 + vX_[1332] * -0.0053433 + vX_[1285] * 4.374212 + (0 - vX_[1326]) * 0.012668 + vX_[1305] * 0.190812;
+ vX_[1366] = (0 - vX_[1364]) * 2.0678571;
+ vX_[1251] = (0 - vX_[1361]) * -0.0053433;
+ vX_[1354] = (0 - vX_[1285]) * -0.00571;
+ vX_[1381] = vX_[1326] * 0.190812;
+ vX_[1382] = vX_[1366] + vX_[1251] - vX_[1354] - vX_[1381];
+ vX_[683] = vX_[738] + vX_[683] + vX_[2748];
+ vX_[683] = vX_[1817] * 0.08 + vX_[1177] * vX_[4] + vX_[1064] * vX_[65] + vX_[2639] * vX_[812] + vX_[2367] * vX_[823] + vX_[550] * vX_[808] + vX_[1763] * vX_[816] + vX_[683] * vX_[810] + vX_[683] * vX_[810];
+ jac[1209] = vX_[2175] * vX_[876] + vX_[1069] * vX_[812] + vX_[1883] * vX_[873] + vX_[1756] * vX_[808] + vX_[683];
+ vX_[413] = vX_[774] + vX_[413] + vX_[1108];
+ vX_[413] = vX_[1975] * -0.08 + vX_[409] * vX_[148] + vX_[3127] * vX_[128] + vX_[960] * vX_[814] + vX_[2197] * vX_[894] + vX_[968] * vX_[882] + vX_[379] * vX_[884] + vX_[413] * vX_[813] + vX_[413] * vX_[813];
+ jac[1101] = vX_[423] * vX_[931] + vX_[2531] * vX_[814] + vX_[412] * vX_[928] + vX_[759] * vX_[882] + vX_[413];
+ vX_[2025] = vX_[2233] + vX_[2025] + vX_[2365];
+ vX_[2025] = vX_[2979] * 0.08 + vX_[2473] * vX_[266] + vX_[2232] * vX_[238] + vX_[2314] * vX_[934] + vX_[1938] * vX_[957] + vX_[2231] * vX_[937] + vX_[2082] * vX_[950] + vX_[2025] * vX_[840] + vX_[2025] * vX_[840];
+ jac[993] = vX_[2029] * vX_[1010] + vX_[2337] * vX_[934] + vX_[2375] * vX_[1007] + vX_[2228] * vX_[937] + vX_[2025];
+ vX_[1484] = vX_[1516] + vX_[1484] + vX_[1518];
+ vX_[1484] = vX_[1212] * -0.08 + vX_[1513] * vX_[383] + vX_[1512] * vX_[356] + vX_[1391] * vX_[725] + vX_[1487] * vX_[690] + vX_[1213] * vX_[704] + vX_[1485] * vX_[664] + vX_[1484] * vX_[697] + vX_[1484] * vX_[697];
+ jac[669] = vX_[1358] * x_in[23] + vX_[1264] * x_in[22] + vX_[2766] * x_in[20] + vX_[2611] * x_in[19] + vX_[1382] * x_in[18] + vX_[1382] * x_in[18] + vX_[683] + vX_[179] * vX_[811] + vX_[1499] * vX_[5] + vX_[2649] * vX_[880] + vX_[2857] * vX_[126] + vX_[413] * -1 + vX_[2025] + vX_[2234] * vX_[935] + vX_[2471] * vX_[236] + vX_[1394] * vX_[724] + vX_[1490] * vX_[354] + vX_[1484] * -1;
+ jac[885] = vX_[1489] * vX_[722] + vX_[1393] * vX_[725] + vX_[1515] * vX_[719] + vX_[1520] * vX_[704] + vX_[1484];
+ vX_[1484] = vX_[1322] * -53.433;
+ vX_[1515] = vX_[1433] * -1.1915559;
+ vX_[1520] = vX_[1038] * 2.0678571;
+ vX_[1489] = vX_[1484] - vX_[1515] + vX_[1520];
+ vX_[1393] = vX_[1496] * 53.433 + (0 - vX_[1458]) * -1.1915559 + vX_[1038] * -0.0053433;
+ vX_[2025] = vX_[1496] * -1.1915559 + vX_[1451] * 2.0678571 + vX_[1433] * 0.012668 + (0 - vX_[1458]) * 4.847485 + (0 - vX_[1038]) * -0.00571;
+ vX_[413] = vX_[1322] * -1.1915559 + vX_[1451] * -0.0053433 + vX_[1433] * 4.374212 + (0 - vX_[1458]) * 0.012668 + vX_[1038] * 0.190812;
+ vX_[683] = (0 - vX_[1496]) * 2.0678571;
+ vX_[1382] = (0 - vX_[1322]) * -0.0053433;
+ vX_[1485] = (0 - vX_[1433]) * -0.00571;
+ vX_[1512] = vX_[1458] * 0.190812;
+ vX_[1513] = vX_[683] + vX_[1382] - vX_[1485] - vX_[1512];
+ vX_[451] = vX_[2597] + vX_[451] + vX_[2379];
+ vX_[451] = vX_[3017] * 0.08 + vX_[1308] * vX_[4] + vX_[1176] * vX_[65] + vX_[2351] * vX_[812] + vX_[1826] * vX_[823] + vX_[2708] * vX_[808] + vX_[2532] * vX_[816] + vX_[451] * vX_[810] + vX_[451] * vX_[810];
+ jac[1210] = vX_[3521] * vX_[876] + vX_[1859] * vX_[812] + vX_[1712] * vX_[873] + vX_[2782] * vX_[808] + vX_[451];
+ vX_[1917] = vX_[2181] + vX_[1917] + vX_[1286];
+ vX_[1917] = vX_[2003] * -0.08 + vX_[786] * vX_[148] + vX_[2065] * vX_[128] + vX_[1012] * vX_[814] + vX_[1067] * vX_[894] + vX_[2156] * vX_[882] + vX_[779] * vX_[884] + vX_[1917] * vX_[813] + vX_[1917] * vX_[813];
+ jac[1102] = vX_[401] * vX_[931] + vX_[424] * vX_[814] + vX_[2085] * vX_[928] + vX_[1287] * vX_[882] + vX_[1917];
+ vX_[668] = vX_[2051] + vX_[668] + vX_[1934];
+ vX_[668] = vX_[2819] * 0.08 + vX_[2086] * vX_[266] + vX_[2032] * vX_[238] + vX_[2172] * vX_[934] + vX_[1903] * vX_[957] + vX_[1803] * vX_[937] + vX_[1788] * vX_[950] + vX_[668] * vX_[840] + vX_[668] * vX_[840];
+ jac[994] = vX_[1877] * vX_[1010] + vX_[2167] * vX_[934] + vX_[1819] * vX_[1007] + vX_[1824] * vX_[937] + vX_[668];
+ vX_[1615] = vX_[1647] + vX_[1615] + vX_[1649];
+ vX_[1615] = vX_[1245] * -0.08 + vX_[1644] * vX_[383] + vX_[1643] * vX_[356] + vX_[1521] * vX_[725] + vX_[1618] * vX_[690] + vX_[1505] * vX_[704] + vX_[1616] * vX_[664] + vX_[1615] * vX_[697] + vX_[1615] * vX_[697];
+ jac[670] = vX_[1489] * x_in[23] + vX_[1393] * x_in[22] + vX_[2025] * x_in[20] + vX_[413] * x_in[19] + vX_[1513] * x_in[18] + vX_[1513] * x_in[18] + vX_[451] + vX_[1437] * vX_[811] + vX_[1902] * vX_[5] + vX_[2300] * vX_[880] + vX_[1128] * vX_[126] + vX_[1917] * -1 + vX_[668] + vX_[2084] * vX_[935] + vX_[1915] * vX_[236] + vX_[1524] * vX_[724] + vX_[1621] * vX_[354] + vX_[1615] * -1;
+ jac[886] = vX_[1620] * vX_[722] + vX_[1523] * vX_[725] + vX_[1646] * vX_[719] + vX_[1651] * vX_[704] + vX_[1615];
+ vX_[1615] = vX_[1455] * -53.433;
+ vX_[1646] = vX_[1564] * -1.1915559;
+ vX_[1651] = vX_[1495] * 2.0678571;
+ vX_[1620] = vX_[1615] - vX_[1646] + vX_[1651];
+ vX_[1523] = vX_[1627] * 53.433 + (0 - vX_[1589]) * -1.1915559 + vX_[1495] * -0.0053433;
+ vX_[668] = vX_[1627] * -1.1915559 + vX_[1582] * 2.0678571 + vX_[1564] * 0.012668 + (0 - vX_[1589]) * 4.847485 + (0 - vX_[1495]) * -0.00571;
+ vX_[1917] = vX_[1455] * -1.1915559 + vX_[1582] * -0.0053433 + vX_[1564] * 4.374212 + (0 - vX_[1589]) * 0.012668 + vX_[1495] * 0.190812;
+ vX_[451] = (0 - vX_[1627]) * 2.0678571;
+ vX_[1513] = (0 - vX_[1455]) * -0.0053433;
+ vX_[1616] = (0 - vX_[1564]) * -0.00571;
+ vX_[1643] = vX_[1589] * 0.190812;
+ vX_[1644] = vX_[451] + vX_[1513] - vX_[1616] - vX_[1643];
+ vX_[1760] = vX_[2098] + vX_[1760] + vX_[326];
+ vX_[1760] = vX_[1864] * 0.08 + vX_[1439] * vX_[4] + vX_[1302] * vX_[65] + vX_[1901] * vX_[812] + vX_[628] * vX_[823] + vX_[2016] * vX_[808] + vX_[1098] * vX_[816] + vX_[1760] * vX_[810] + vX_[1760] * vX_[810];
+ jac[1211] = vX_[3050] * vX_[876] + vX_[2607] * vX_[812] + vX_[2617] * vX_[873] + vX_[3543] * vX_[808] + vX_[1760];
+ vX_[2447] = vX_[2674] + vX_[2447] + vX_[2496];
+ vX_[2447] = vX_[3311] * -0.08 + vX_[2010] * vX_[148] + vX_[2023] * vX_[128] + vX_[2055] * vX_[814] + vX_[1873] * vX_[894] + vX_[1156] * vX_[882] + vX_[787] * vX_[884] + vX_[2447] * vX_[813] + vX_[2447] * vX_[813];
+ jac[1103] = vX_[1947] * vX_[931] + vX_[1874] * vX_[814] + vX_[2024] * vX_[928] + vX_[2503] * vX_[882] + vX_[2447];
+ vX_[1759] = vX_[1625] + vX_[1759] + vX_[1723];
+ vX_[1759] = vX_[2226] * 0.08 + vX_[1606] * vX_[266] + vX_[1785] * vX_[238] + vX_[1509] * vX_[934] + vX_[1419] * vX_[957] + vX_[1480] * vX_[937] + vX_[1540] * vX_[950] + vX_[1759] * vX_[840] + vX_[1759] * vX_[840];
+ jac[995] = vX_[1632] * vX_[1010] + vX_[1872] * vX_[934] + vX_[1585] * vX_[1007] + vX_[1344] * vX_[937] + vX_[1759];
+ vX_[1746] = vX_[1778] + vX_[1746] + vX_[1780];
+ vX_[1746] = vX_[1474] * -0.08 + vX_[1775] * vX_[383] + vX_[1774] * vX_[356] + vX_[1652] * vX_[725] + vX_[1749] * vX_[690] + vX_[1636] * vX_[704] + vX_[1747] * vX_[664] + vX_[1746] * vX_[697] + vX_[1746] * vX_[697];
+ jac[671] = vX_[1620] * x_in[23] + vX_[1523] * x_in[22] + vX_[668] * x_in[20] + vX_[1917] * x_in[19] + vX_[1644] * x_in[18] + vX_[1644] * x_in[18] + vX_[1760] + vX_[3671] * vX_[811] + vX_[1637] * vX_[5] + vX_[1479] * vX_[880] + vX_[2052] * vX_[126] + vX_[2447] * -1 + vX_[1759] + vX_[1678] * vX_[935] + vX_[1730] * vX_[236] + vX_[1655] * vX_[724] + vX_[1752] * vX_[354] + vX_[1746] * -1;
+ jac[887] = vX_[1751] * vX_[722] + vX_[1654] * vX_[725] + vX_[1777] * vX_[719] + vX_[1782] * vX_[704] + vX_[1746];
+ vX_[1746] = vX_[1698] * -53.433;
+ vX_[1777] = vX_[1718] * -1.1915559;
+ vX_[1782] = vX_[1374] * 2.0678571;
+ vX_[1751] = vX_[1746] - vX_[1777] + vX_[1782];
+ vX_[1654] = vX_[1577] * 53.433 + (0 - vX_[1708]) * -1.1915559 + vX_[1374] * -0.0053433;
+ vX_[1759] = vX_[1577] * -1.1915559 + vX_[1720] * 2.0678571 + vX_[1718] * 0.012668 + (0 - vX_[1708]) * 4.847485 + (0 - vX_[1374]) * -0.00571;
+ vX_[2447] = vX_[1698] * -1.1915559 + vX_[1720] * -0.0053433 + vX_[1718] * 4.374212 + (0 - vX_[1708]) * 0.012668 + vX_[1374] * 0.190812;
+ vX_[1760] = (0 - vX_[1577]) * 2.0678571;
+ vX_[1644] = (0 - vX_[1698]) * -0.0053433;
+ vX_[1747] = (0 - vX_[1718]) * -0.00571;
+ vX_[1774] = vX_[1708] * 0.190812;
+ vX_[1775] = vX_[1760] + vX_[1644] - vX_[1747] - vX_[1774];
+ vX_[3607] = vX_[3121] + vX_[3607] + vX_[3020];
+ vX_[3607] = vX_[1950] * 0.08 + vX_[1570] * vX_[4] + vX_[1422] * vX_[65] + vX_[2646] * vX_[812] + vX_[2466] * vX_[823] + vX_[3415] * vX_[808] + vX_[2159] * vX_[816] + vX_[3607] * vX_[810] + vX_[3607] * vX_[810];
+ jac[1212] = vX_[368] * vX_[876] + vX_[1764] * vX_[812] + vX_[277] * vX_[873] + vX_[259] * vX_[808] + vX_[3607];
+ vX_[837] = vX_[3470] + vX_[837] + vX_[3225];
+ vX_[837] = vX_[1330] * -0.08 + vX_[407] * vX_[148] + vX_[3349] * vX_[128] + vX_[2868] * vX_[814] + vX_[3255] * vX_[894] + vX_[2048] * vX_[882] + vX_[3066] * vX_[884] + vX_[837] * vX_[813] + vX_[837] * vX_[813];
+ jac[1104] = vX_[3236] * vX_[931] + vX_[2034] * vX_[814] + vX_[710] * vX_[928] + vX_[2815] * vX_[882] + vX_[837];
+ vX_[788] = vX_[1462] + vX_[788] + vX_[1478];
+ vX_[788] = vX_[2202] * 0.08 + vX_[1472] * vX_[266] + vX_[1127] * vX_[238] + vX_[1607] * vX_[934] + vX_[1345] * vX_[957] + vX_[1351] * vX_[937] + vX_[1377] * vX_[950] + vX_[788] * vX_[840] + vX_[788] * vX_[840];
+ jac[996] = vX_[1167] * vX_[1010] + vX_[1510] * vX_[934] + vX_[1348] * vX_[1007] + vX_[1503] * vX_[937] + vX_[788];
+ vX_[1891] = vX_[1925] + vX_[1891] + vX_[1927];
+ vX_[1891] = vX_[1804] * -0.08 + vX_[1922] * vX_[383] + vX_[1921] * vX_[356] + vX_[1806] * vX_[725] + vX_[1894] * vX_[690] + vX_[1802] * vX_[704] + vX_[1892] * vX_[664] + vX_[1891] * vX_[697] + vX_[1891] * vX_[697];
+ jac[672] = vX_[1751] * x_in[23] + vX_[1654] * x_in[22] + vX_[1759] * x_in[20] + vX_[2447] * x_in[19] + vX_[1775] * x_in[18] + vX_[1775] * x_in[18] + vX_[3607] + vX_[169] * vX_[811] + vX_[688] * vX_[5] + vX_[1560] * vX_[880] + vX_[415] * vX_[126] + vX_[837] * -1 + vX_[788] + vX_[1482] * vX_[935] + vX_[1259] * vX_[236] + vX_[1809] * vX_[724] + vX_[1897] * vX_[354] + vX_[1891] * -1;
+ jac[888] = vX_[1896] * vX_[722] + vX_[1808] * vX_[725] + vX_[1924] * vX_[719] + vX_[1929] * vX_[704] + vX_[1891];
+ vX_[1891] = vX_[1840] * -53.433;
+ vX_[1924] = vX_[1110] * -1.1915559;
+ vX_[1929] = vX_[1796] * 2.0678571;
+ vX_[1896] = vX_[1891] - vX_[1924] + vX_[1929];
+ vX_[1808] = vX_[1791] * 53.433 + (0 - vX_[1680]) * -1.1915559 + vX_[1796] * -0.0053433;
+ vX_[788] = vX_[1791] * -1.1915559 + vX_[1828] * 2.0678571 + vX_[1110] * 0.012668 + (0 - vX_[1680]) * 4.847485 + (0 - vX_[1796]) * -0.00571;
+ vX_[837] = vX_[1840] * -1.1915559 + vX_[1828] * -0.0053433 + vX_[1110] * 4.374212 + (0 - vX_[1680]) * 0.012668 + vX_[1796] * 0.190812;
+ vX_[3607] = (0 - vX_[1791]) * 2.0678571;
+ vX_[1775] = (0 - vX_[1840]) * -0.0053433;
+ vX_[1892] = (0 - vX_[1110]) * -0.00571;
+ vX_[1921] = vX_[1680] * 0.190812;
+ vX_[1922] = vX_[3607] + vX_[1775] - vX_[1892] - vX_[1921];
+ vX_[365] = vX_[3600] + vX_[365] + vX_[3302];
+ vX_[365] = vX_[2827] * 0.08 + vX_[1701] * vX_[4] + vX_[1553] * vX_[65] + vX_[3432] * vX_[812] + vX_[3089] * vX_[823] + vX_[3621] * vX_[808] + vX_[2741] * vX_[816] + vX_[365] * vX_[810] + vX_[365] * vX_[810];
+ jac[1213] = vX_[1342] * vX_[876] + vX_[3232] * vX_[812] + vX_[3314] * vX_[873] + vX_[367] * vX_[808] + vX_[365];
+ vX_[782] = vX_[642] + vX_[782] + vX_[997];
+ vX_[782] = vX_[1739] * -0.08 + vX_[352] * vX_[148] + vX_[635] * vX_[128] + vX_[2858] * vX_[814] + vX_[3112] * vX_[894] + vX_[2978] * vX_[882] + vX_[3043] * vX_[884] + vX_[782] * vX_[813] + vX_[782] * vX_[813];
+ jac[1105] = vX_[3384] * vX_[931] + vX_[2940] * vX_[814] + vX_[623] * vX_[928] + vX_[962] * vX_[882] + vX_[782];
+ vX_[1071] = vX_[797] + vX_[1071] + vX_[776];
+ vX_[1071] = vX_[1868] * 0.08 + vX_[1211] * vX_[266] + vX_[1241] * vX_[238] + vX_[898] * vX_[934] + vX_[3491] * vX_[957] + vX_[1026] * vX_[937] + vX_[3486] * vX_[950] + vX_[1071] * vX_[840] + vX_[1071] * vX_[840];
+ jac[997] = vX_[3466] * vX_[1010] + vX_[1204] * vX_[934] + vX_[1116] * vX_[1007] + vX_[3363] * vX_[937] + vX_[1071];
+ vX_[2041] = vX_[2073] + vX_[2041] + vX_[2075];
+ vX_[2041] = vX_[1956] * -0.08 + vX_[2070] * vX_[383] + vX_[2069] * vX_[356] + vX_[1958] * vX_[725] + vX_[2044] * vX_[690] + vX_[1954] * vX_[704] + vX_[2042] * vX_[664] + vX_[2041] * vX_[697] + vX_[2041] * vX_[697];
+ jac[673] = vX_[1896] * x_in[23] + vX_[1808] * x_in[22] + vX_[788] * x_in[20] + vX_[837] * x_in[19] + vX_[1922] * x_in[18] + vX_[1922] * x_in[18] + vX_[365] + vX_[177] * vX_[811] + vX_[3564] * vX_[5] + vX_[2383] * vX_[880] + vX_[3185] * vX_[126] + vX_[782] * -1 + vX_[1071] + vX_[780] * vX_[935] + vX_[1079] * vX_[236] + vX_[1961] * vX_[724] + vX_[2047] * vX_[354] + vX_[2041] * -1;
+ jac[889] = vX_[2046] * vX_[722] + vX_[1960] * vX_[725] + vX_[2072] * vX_[719] + vX_[2077] * vX_[704] + vX_[2041];
+ vX_[2041] = vX_[1991] * -53.433;
+ vX_[2072] = vX_[1919] * -1.1915559;
+ vX_[2077] = vX_[1948] * 2.0678571;
+ vX_[2046] = vX_[2041] - vX_[2072] + vX_[2077];
+ vX_[1960] = vX_[1943] * 53.433 + (0 - vX_[1895]) * -1.1915559 + vX_[1948] * -0.0053433;
+ vX_[1071] = vX_[1943] * -1.1915559 + vX_[1979] * 2.0678571 + vX_[1919] * 0.012668 + (0 - vX_[1895]) * 4.847485 + (0 - vX_[1948]) * -0.00571;
+ vX_[782] = vX_[1991] * -1.1915559 + vX_[1979] * -0.0053433 + vX_[1919] * 4.374212 + (0 - vX_[1895]) * 0.012668 + vX_[1948] * 0.190812;
+ vX_[365] = (0 - vX_[1943]) * 2.0678571;
+ vX_[1922] = (0 - vX_[1991]) * -0.0053433;
+ vX_[2042] = (0 - vX_[1919]) * -0.00571;
+ vX_[2069] = vX_[1895] * 0.190812;
+ vX_[2070] = vX_[365] + vX_[1922] - vX_[2042] - vX_[2069];
+ vX_[1736] = vX_[1329] + vX_[1736] + vX_[2310];
+ vX_[1736] = vX_[3264] * 0.08 + vX_[1848] * vX_[4] + vX_[1750] * vX_[65] + vX_[3626] * vX_[812] + vX_[456] * vX_[823] + vX_[1461] * vX_[808] + vX_[624] * vX_[816] + vX_[1736] * vX_[810] + vX_[1736] * vX_[810];
+ jac[1214] = vX_[455] * vX_[876] + vX_[3337] * vX_[812] + vX_[784] * vX_[873] + vX_[2371] * vX_[808] + vX_[1736];
+ vX_[278] = vX_[3555] + vX_[278] + vX_[590];
+ vX_[278] = vX_[2456] * -0.08 + vX_[3557] * vX_[148] + vX_[3556] * vX_[128] + vX_[1173] * vX_[814] + vX_[3631] * vX_[894] + vX_[3630] * vX_[882] + vX_[317] * vX_[884] + vX_[278] * vX_[813] + vX_[278] * vX_[813];
+ jac[1106] = vX_[3616] * vX_[931] + vX_[622] * vX_[814] + vX_[3544] * vX_[928] + vX_[1237] * vX_[882] + vX_[278];
+ vX_[471] = vX_[403] + vX_[471] + vX_[389];
+ vX_[471] = vX_[1429] * 0.08 + vX_[427] * vX_[266] + vX_[428] * vX_[238] + vX_[638] * vX_[934] + vX_[3381] * vX_[957] + vX_[410] * vX_[937] + vX_[3285] * vX_[950] + vX_[471] * vX_[840] + vX_[471] * vX_[840];
+ jac[998] = vX_[3256] * vX_[1010] + vX_[702] * vX_[934] + vX_[377] * vX_[1007] + vX_[394] * vX_[937] + vX_[471];
+ vX_[2189] = vX_[2221] + vX_[2189] + vX_[2223];
+ vX_[2189] = vX_[2104] * -0.08 + vX_[2218] * vX_[383] + vX_[2217] * vX_[356] + vX_[2106] * vX_[725] + vX_[2192] * vX_[690] + vX_[2102] * vX_[704] + vX_[2190] * vX_[664] + vX_[2189] * vX_[697] + vX_[2189] * vX_[697];
+ jac[674] = vX_[2046] * x_in[23] + vX_[1960] * x_in[22] + vX_[1071] * x_in[20] + vX_[782] * x_in[19] + vX_[2070] * x_in[18] + vX_[2070] * x_in[18] + vX_[1736] + vX_[687] * vX_[811] + vX_[1323] * vX_[5] + vX_[390] * vX_[880] + vX_[3624] * vX_[126] + vX_[278] * -1 + vX_[471] + vX_[568] * vX_[935] + vX_[411] * vX_[236] + vX_[2109] * vX_[724] + vX_[2195] * vX_[354] + vX_[2189] * -1;
+ jac[890] = vX_[2194] * vX_[722] + vX_[2108] * vX_[725] + vX_[2220] * vX_[719] + vX_[2225] * vX_[704] + vX_[2189];
+ vX_[2189] = vX_[2045] * -53.433;
+ vX_[2220] = vX_[2162] * -1.1915559;
+ vX_[2225] = vX_[2187] * 2.0678571;
+ vX_[2194] = vX_[2189] - vX_[2220] + vX_[2225];
+ vX_[2108] = vX_[2067] * 53.433 + (0 - vX_[2146]) * -1.1915559 + vX_[2187] * -0.0053433;
+ vX_[471] = vX_[2067] * -1.1915559 + vX_[2164] * 2.0678571 + vX_[2162] * 0.012668 + (0 - vX_[2146]) * 4.847485 + (0 - vX_[2187]) * -0.00571;
+ vX_[278] = vX_[2045] * -1.1915559 + vX_[2164] * -0.0053433 + vX_[2162] * 4.374212 + (0 - vX_[2146]) * 0.012668 + vX_[2187] * 0.190812;
+ vX_[1736] = (0 - vX_[2067]) * 2.0678571;
+ vX_[2070] = (0 - vX_[2045]) * -0.0053433;
+ vX_[2190] = (0 - vX_[2162]) * -0.00571;
+ vX_[2217] = vX_[2146] * 0.190812;
+ vX_[2218] = vX_[1736] + vX_[2070] - vX_[2190] - vX_[2217];
+ vX_[3272] = vX_[2133] + vX_[3272] + vX_[2612];
+ vX_[3272] = vX_[986] * 0.08 + vX_[1999] * vX_[4] + vX_[1923] * vX_[65] + vX_[2615] * vX_[812] + vX_[1997] * vX_[823] + vX_[2064] * vX_[808] + vX_[1055] * vX_[816] + vX_[3272] * vX_[810] + vX_[3272] * vX_[810];
+ jac[1215] = vX_[2518] * vX_[876] + vX_[1834] * vX_[812] + vX_[599] * vX_[873] + vX_[1315] * vX_[808] + vX_[3272];
+ vX_[1104] = vX_[1197] + vX_[1104] + vX_[1288];
+ vX_[1104] = vX_[3490] * -0.08 + vX_[1334] * vX_[148] + vX_[1677] * vX_[128] + vX_[1584] * vX_[814] + vX_[1362] * vX_[894] + vX_[3561] * vX_[882] + vX_[1075] * vX_[884] + vX_[1104] * vX_[813] + vX_[1104] * vX_[813];
+ jac[1107] = vX_[3389] * vX_[931] + vX_[3533] * vX_[814] + vX_[1189] * vX_[928] + vX_[2035] * vX_[882] + vX_[1104];
+ vX_[3177] = vX_[3150] + vX_[3177] + vX_[2974];
+ vX_[3177] = vX_[1190] * 0.08 + vX_[3038] * vX_[266] + vX_[3149] * vX_[238] + vX_[3254] * vX_[934] + vX_[2904] * vX_[957] + vX_[3171] * vX_[937] + vX_[2889] * vX_[950] + vX_[3177] * vX_[840] + vX_[3177] * vX_[840];
+ jac[999] = vX_[2937] * vX_[1010] + vX_[3238] * vX_[934] + vX_[3230] * vX_[1007] + vX_[2984] * vX_[937] + vX_[3177];
+ vX_[2327] = vX_[2359] + vX_[2327] + vX_[2361];
+ vX_[2327] = vX_[2242] * -0.08 + vX_[2356] * vX_[383] + vX_[2355] * vX_[356] + vX_[2244] * vX_[725] + vX_[2330] * vX_[690] + vX_[2240] * vX_[704] + vX_[2328] * vX_[664] + vX_[2327] * vX_[697] + vX_[2327] * vX_[697];
+ jac[675] = vX_[2194] * x_in[23] + vX_[2108] * x_in[22] + vX_[471] * x_in[20] + vX_[278] * x_in[19] + vX_[2218] * x_in[18] + vX_[2218] * x_in[18] + vX_[3272] + vX_[1159] * vX_[811] + vX_[1114] * vX_[5] + vX_[313] * vX_[880] + vX_[1107] * vX_[126] + vX_[1104] * -1 + vX_[3177] + vX_[3115] * vX_[935] + vX_[3201] * vX_[236] + vX_[2247] * vX_[724] + vX_[2333] * vX_[354] + vX_[2327] * -1;
+ jac[891] = vX_[2332] * vX_[722] + vX_[2246] * vX_[725] + vX_[2358] * vX_[719] + vX_[2363] * vX_[704] + vX_[2327];
+ vX_[2327] = vX_[2277] * -53.433;
+ vX_[2358] = vX_[1993] * -1.1915559;
+ vX_[2363] = vX_[2230] * 2.0678571;
+ vX_[2332] = vX_[2327] - vX_[2358] + vX_[2363];
+ vX_[2246] = vX_[2241] * 53.433 + (0 - vX_[2128]) * -1.1915559 + vX_[2230] * -0.0053433;
+ vX_[3177] = vX_[2241] * -1.1915559 + vX_[2265] * 2.0678571 + vX_[1993] * 0.012668 + (0 - vX_[2128]) * 4.847485 + (0 - vX_[2230]) * -0.00571;
+ vX_[1104] = vX_[2277] * -1.1915559 + vX_[2265] * -0.0053433 + vX_[1993] * 4.374212 + (0 - vX_[2128]) * 0.012668 + vX_[2230] * 0.190812;
+ vX_[3272] = (0 - vX_[2241]) * 2.0678571;
+ vX_[2218] = (0 - vX_[2277]) * -0.0053433;
+ vX_[2328] = (0 - vX_[1993]) * -0.00571;
+ vX_[2355] = vX_[2128] * 0.190812;
+ vX_[2356] = vX_[3272] + vX_[2218] - vX_[2328] - vX_[2355];
+ vX_[2640] = vX_[464] + vX_[2640] + vX_[3077];
+ vX_[2640] = vX_[1613] * 0.08 + vX_[2147] * vX_[4] + vX_[2071] * vX_[65] + vX_[1734] * vX_[812] + vX_[1522] * vX_[823] + vX_[1506] * vX_[808] + vX_[251] * vX_[816] + vX_[2640] * vX_[810] + vX_[2640] * vX_[810];
+ jac[1216] = vX_[1741] * vX_[876] + vX_[1111] * vX_[812] + vX_[2491] * vX_[873] + vX_[2416] * vX_[808] + vX_[2640];
+ vX_[2206] = vX_[2587] + vX_[2206] + vX_[2566];
+ vX_[2206] = vX_[270] * -0.08 + vX_[2717] * vX_[148] + vX_[2312] * vX_[128] + vX_[2705] * vX_[814] + vX_[2342] * vX_[894] + vX_[1282] * vX_[882] + vX_[2135] * vX_[884] + vX_[2206] * vX_[813] + vX_[2206] * vX_[813];
+ jac[1108] = vX_[1968] * vX_[931] + vX_[1367] * vX_[814] + vX_[2789] * vX_[928] + vX_[2525] * vX_[882] + vX_[2206];
+ vX_[2635] = vX_[2793] + vX_[2635] + vX_[2729];
+ vX_[2635] = vX_[1087] * 0.08 + vX_[2754] * vX_[266] + vX_[2691] * vX_[238] + vX_[3181] * vX_[934] + vX_[2593] * vX_[957] + vX_[2539] * vX_[937] + vX_[2616] * vX_[950] + vX_[2635] * vX_[840] + vX_[2635] * vX_[840];
+ jac[1000] = vX_[2388] * vX_[1010] + vX_[465] * vX_[934] + vX_[2709] * vX_[1007] + vX_[2788] * vX_[937] + vX_[2635];
+ vX_[2479] = vX_[2511] + vX_[2479] + vX_[2513];
+ vX_[2479] = vX_[2394] * -0.08 + vX_[2508] * vX_[383] + vX_[2507] * vX_[356] + vX_[2396] * vX_[725] + vX_[2482] * vX_[690] + vX_[2392] * vX_[704] + vX_[2480] * vX_[664] + vX_[2479] * vX_[697] + vX_[2479] * vX_[697];
+ jac[676] = vX_[2332] * x_in[23] + vX_[2246] * x_in[22] + vX_[3177] * x_in[20] + vX_[1104] * x_in[19] + vX_[2356] * x_in[18] + vX_[2356] * x_in[18] + vX_[2640] + vX_[1290] * vX_[811] + vX_[453] * vX_[5] + vX_[3446] * vX_[880] + vX_[2183] * vX_[126] + vX_[2206] * -1 + vX_[2635] + vX_[1784] * vX_[935] + vX_[2791] * vX_[236] + vX_[2399] * vX_[724] + vX_[2485] * vX_[354] + vX_[2479] * -1;
+ jac[892] = vX_[2484] * vX_[722] + vX_[2398] * vX_[725] + vX_[2510] * vX_[719] + vX_[2515] * vX_[704] + vX_[2479];
+ vX_[2479] = vX_[2429] * -53.433;
+ vX_[2510] = vX_[2237] * -1.1915559;
+ vX_[2515] = vX_[2382] * 2.0678571;
+ vX_[2484] = vX_[2479] - vX_[2510] + vX_[2515];
+ vX_[2398] = vX_[2393] * 53.433 + (0 - vX_[2354]) * -1.1915559 + vX_[2382] * -0.0053433;
+ vX_[2635] = vX_[2393] * -1.1915559 + vX_[2417] * 2.0678571 + vX_[2237] * 0.012668 + (0 - vX_[2354]) * 4.847485 + (0 - vX_[2382]) * -0.00571;
+ vX_[2206] = vX_[2429] * -1.1915559 + vX_[2417] * -0.0053433 + vX_[2237] * 4.374212 + (0 - vX_[2354]) * 0.012668 + vX_[2382] * 0.190812;
+ vX_[2640] = (0 - vX_[2393]) * 2.0678571;
+ vX_[2356] = (0 - vX_[2429]) * -0.0053433;
+ vX_[2480] = (0 - vX_[2237]) * -0.00571;
+ vX_[2507] = vX_[2354] * 0.190812;
+ vX_[2508] = vX_[2640] + vX_[2356] - vX_[2480] - vX_[2507];
+ vX_[262] = vX_[288] + vX_[262] + vX_[3536];
+ vX_[262] = vX_[579] * 0.08 + vX_[2285] * vX_[4] + vX_[1995] * vX_[65] + vX_[707] * vX_[812] + vX_[3278] * vX_[823] + vX_[1162] * vX_[808] + vX_[1208] * vX_[816] + vX_[262] * vX_[810] + vX_[262] * vX_[810];
+ jac[1217] = vX_[260] * vX_[876] + vX_[730] * vX_[812] + vX_[299] * vX_[873] + vX_[243] * vX_[808] + vX_[262];
+ vX_[2859] = vX_[1024] + vX_[2859] + vX_[1477];
+ vX_[2859] = vX_[460] * -0.08 + vX_[3376] * vX_[148] + vX_[3257] * vX_[128] + vX_[3116] * vX_[814] + vX_[2798] * vX_[894] + vX_[2170] * vX_[882] + vX_[3008] * vX_[884] + vX_[2859] * vX_[813] + vX_[2859] * vX_[813];
+ jac[1109] = vX_[429] * vX_[931] + vX_[2299] * vX_[814] + vX_[1205] * vX_[928] + vX_[766] * vX_[882] + vX_[2859];
+ vX_[2262] = vX_[2015] + vX_[2262] + vX_[2219];
+ vX_[2262] = vX_[3224] * 0.08 + vX_[2441] * vX_[266] + vX_[2424] * vX_[238] + vX_[2908] * vX_[934] + vX_[2039] * vX_[957] + vX_[2214] * vX_[937] + vX_[1946] * vX_[950] + vX_[2262] * vX_[840] + vX_[2262] * vX_[840];
+ jac[1001] = vX_[2017] * vX_[1010] + vX_[457] * vX_[934] + vX_[2261] * vX_[1007] + vX_[2263] * vX_[937] + vX_[2262];
+ vX_[2631] = vX_[2663] + vX_[2631] + vX_[2665];
+ vX_[2631] = vX_[2546] * -0.08 + vX_[2660] * vX_[383] + vX_[2659] * vX_[356] + vX_[2548] * vX_[725] + vX_[2634] * vX_[690] + vX_[2544] * vX_[704] + vX_[2632] * vX_[664] + vX_[2631] * vX_[697] + vX_[2631] * vX_[697];
+ jac[677] = vX_[2484] * x_in[23] + vX_[2398] * x_in[22] + vX_[2635] * x_in[20] + vX_[2206] * x_in[19] + vX_[2508] * x_in[18] + vX_[2508] * x_in[18] + vX_[262] + vX_[1421] * vX_[811] + vX_[1392] * vX_[5] + vX_[2145] * vX_[880] + vX_[430] * vX_[126] + vX_[2859] * -1 + vX_[2262] + vX_[3233] * vX_[935] + vX_[2341] * vX_[236] + vX_[2551] * vX_[724] + vX_[2637] * vX_[354] + vX_[2631] * -1;
+ jac[893] = vX_[2636] * vX_[722] + vX_[2550] * vX_[725] + vX_[2662] * vX_[719] + vX_[2667] * vX_[704] + vX_[2631];
+ vX_[2631] = vX_[2506] * -53.433;
+ vX_[2662] = vX_[2604] * -1.1915559;
+ vX_[2667] = vX_[2543] * 2.0678571;
+ vX_[2636] = vX_[2631] - vX_[2662] + vX_[2667];
+ vX_[2550] = vX_[2389] * 53.433 + (0 - vX_[2588]) * -1.1915559 + vX_[2543] * -0.0053433;
+ vX_[2262] = vX_[2389] * -1.1915559 + vX_[2606] * 2.0678571 + vX_[2604] * 0.012668 + (0 - vX_[2588]) * 4.847485 + (0 - vX_[2543]) * -0.00571;
+ vX_[2859] = vX_[2506] * -1.1915559 + vX_[2606] * -0.0053433 + vX_[2604] * 4.374212 + (0 - vX_[2588]) * 0.012668 + vX_[2543] * 0.190812;
+ vX_[262] = (0 - vX_[2389]) * 2.0678571;
+ vX_[2508] = (0 - vX_[2506]) * -0.0053433;
+ vX_[2632] = (0 - vX_[2604]) * -0.00571;
+ vX_[2659] = vX_[2588] * 0.190812;
+ vX_[2660] = vX_[262] + vX_[2508] - vX_[2632] - vX_[2659];
+ vX_[3572] = vX_[3759] + vX_[3572] + vX_[3775];
+ vX_[3572] = vX_[1744] * 0.08 + vX_[2437] * vX_[4] + vX_[2235] * vX_[65] + vX_[3451] * vX_[812] + vX_[175] * vX_[823] + vX_[3344] * vX_[808] + vX_[186] * vX_[816] + vX_[3572] * vX_[810] + vX_[3572] * vX_[810];
+ jac[1218] = vX_[171] * vX_[876] + vX_[2008] * vX_[812] + vX_[3727] * vX_[873] + vX_[3762] * vX_[808] + vX_[3572];
+ vX_[1428] = vX_[1944] + vX_[1428] + vX_[2199];
+ vX_[1428] = vX_[2057] * -0.08 + vX_[1112] * vX_[148] + vX_[1549] * vX_[128] + vX_[264] * vX_[814] + vX_[1187] * vX_[894] + vX_[382] * vX_[882] + vX_[1058] * vX_[884] + vX_[1428] * vX_[813] + vX_[1428] * vX_[813];
+ jac[1110] = vX_[1157] * vX_[931] + vX_[3464] * vX_[814] + vX_[1592] * vX_[928] + vX_[2311] * vX_[882] + vX_[1428];
+ vX_[1869] = vX_[1935] + vX_[1869] + vX_[1918];
+ vX_[1869] = vX_[2753] * 0.08 + vX_[1798] * vX_[266] + vX_[2059] * vX_[238] + vX_[2350] * vX_[934] + vX_[1725] * vX_[957] + vX_[2056] * vX_[937] + vX_[1711] * vX_[950] + vX_[1869] * vX_[840] + vX_[1869] * vX_[840];
+ jac[1002] = vX_[1758] * vX_[1010] + vX_[3096] * vX_[934] + vX_[1793] * vX_[1007] + vX_[1681] * vX_[937] + vX_[1869];
+ vX_[2773] = vX_[2805] + vX_[2773] + vX_[2807];
+ vX_[2773] = vX_[2688] * -0.08 + vX_[2802] * vX_[383] + vX_[2801] * vX_[356] + vX_[2690] * vX_[725] + vX_[2776] * vX_[690] + vX_[2686] * vX_[704] + vX_[2774] * vX_[664] + vX_[2773] * vX_[697] + vX_[2773] * vX_[697];
+ jac[678] = vX_[2636] * x_in[23] + vX_[2550] * x_in[22] + vX_[2262] * x_in[20] + vX_[2859] * x_in[19] + vX_[2660] * x_in[18] + vX_[2660] * x_in[18] + vX_[3572] + vX_[1552] * vX_[811] + vX_[3623] * vX_[5] + vX_[3261] * vX_[880] + vX_[1347] * vX_[126] + vX_[1428] * -1 + vX_[1869] + vX_[2787] * vX_[935] + vX_[1987] * vX_[236] + vX_[2693] * vX_[724] + vX_[2779] * vX_[354] + vX_[2773] * -1;
+ jac[894] = vX_[2778] * vX_[722] + vX_[2692] * vX_[725] + vX_[2804] * vX_[719] + vX_[2809] * vX_[704] + vX_[2773];
+ vX_[2773] = vX_[2545] * -53.433;
+ vX_[2804] = vX_[2711] * -1.1915559;
+ vX_[2809] = vX_[2678] * 2.0678571;
+ vX_[2778] = vX_[2773] - vX_[2804] + vX_[2809];
+ vX_[2692] = vX_[2738] * 53.433 + (0 - vX_[2742]) * -1.1915559 + vX_[2678] * -0.0053433;
+ vX_[1869] = vX_[2738] * -1.1915559 + vX_[2728] * 2.0678571 + vX_[2711] * 0.012668 + (0 - vX_[2742]) * 4.847485 + (0 - vX_[2678]) * -0.00571;
+ vX_[1428] = vX_[2545] * -1.1915559 + vX_[2728] * -0.0053433 + vX_[2711] * 4.374212 + (0 - vX_[2742]) * 0.012668 + vX_[2678] * 0.190812;
+ vX_[3572] = (0 - vX_[2738]) * 2.0678571;
+ vX_[2660] = (0 - vX_[2545]) * -0.0053433;
+ vX_[2774] = (0 - vX_[2711]) * -0.00571;
+ vX_[2801] = vX_[2742] * 0.190812;
+ vX_[2802] = vX_[3572] + vX_[2660] - vX_[2774] - vX_[2801];
+ vX_[923] = vX_[3728] + vX_[923] + vX_[3498];
+ vX_[923] = vX_[229] * 0.08 + vX_[2589] * vX_[4] + vX_[2387] * vX_[65] + vX_[3696] * vX_[812] + vX_[2321] * vX_[823] + vX_[150] * vX_[808] + vX_[3570] * vX_[816] + vX_[923] * vX_[810] + vX_[923] * vX_[810];
+ jac[1219] = vX_[3687] * vX_[876] + vX_[220] * vX_[812] + vX_[147] * vX_[873] + vX_[731] * vX_[808] + vX_[923];
+ vX_[2080] = vX_[2517] + vX_[2080] + vX_[2384];
+ vX_[2080] = vX_[2638] * -0.08 + vX_[2797] * vX_[148] + vX_[2644] * vX_[128] + vX_[1471] * vX_[814] + vX_[2090] * vX_[894] + vX_[2568] * vX_[882] + vX_[2171] * vX_[884] + vX_[2080] * vX_[813] + vX_[2080] * vX_[813];
+ jac[1111] = vX_[2297] * vX_[931] + vX_[3058] * vX_[814] + vX_[2500] * vX_[928] + vX_[2522] * vX_[882] + vX_[2080];
+ vX_[1511] = vX_[1435] + vX_[1511] + vX_[1546];
+ vX_[1511] = vX_[2867] * 0.08 + vX_[1488] * vX_[266] + vX_[1588] * vX_[238] + vX_[1755] * vX_[934] + vX_[1424] * vX_[957] + vX_[1544] * vX_[937] + vX_[1307] * vX_[950] + vX_[1511] * vX_[840] + vX_[1511] * vX_[840];
+ jac[1003] = vX_[1469] * vX_[1010] + vX_[1766] * vX_[934] + vX_[1633] * vX_[1007] + vX_[1601] * vX_[937] + vX_[1511];
+ vX_[2923] = vX_[2955] + vX_[2923] + vX_[2957];
+ vX_[2923] = vX_[2838] * -0.08 + vX_[2952] * vX_[383] + vX_[2951] * vX_[356] + vX_[2840] * vX_[725] + vX_[2926] * vX_[690] + vX_[2836] * vX_[704] + vX_[2924] * vX_[664] + vX_[2923] * vX_[697] + vX_[2923] * vX_[697];
+ jac[679] = vX_[2778] * x_in[23] + vX_[2692] * x_in[22] + vX_[1869] * x_in[20] + vX_[1428] * x_in[19] + vX_[2802] * x_in[18] + vX_[2802] * x_in[18] + vX_[923] + vX_[1683] * vX_[811] + vX_[154] * vX_[5] + vX_[1076] * vX_[880] + vX_[2177] * vX_[126] + vX_[2080] * -1 + vX_[1511] + vX_[1732] * vX_[935] + vX_[1595] * vX_[236] + vX_[2843] * vX_[724] + vX_[2929] * vX_[354] + vX_[2923] * -1;
+ jac[895] = vX_[2928] * vX_[722] + vX_[2842] * vX_[725] + vX_[2954] * vX_[719] + vX_[2959] * vX_[704] + vX_[2923];
+ vX_[2923] = vX_[2684] * -53.433;
+ vX_[2954] = vX_[2861] * -1.1915559;
+ vX_[2959] = vX_[2828] * 2.0678571;
+ vX_[2928] = vX_[2923] - vX_[2954] + vX_[2959];
+ vX_[2842] = vX_[2888] * 53.433 + (0 - vX_[2892]) * -1.1915559 + vX_[2828] * -0.0053433;
+ vX_[1511] = vX_[2888] * -1.1915559 + vX_[2878] * 2.0678571 + vX_[2861] * 0.012668 + (0 - vX_[2892]) * 4.847485 + (0 - vX_[2828]) * -0.00571;
+ vX_[2080] = vX_[2684] * -1.1915559 + vX_[2878] * -0.0053433 + vX_[2861] * 4.374212 + (0 - vX_[2892]) * 0.012668 + vX_[2828] * 0.190812;
+ vX_[923] = (0 - vX_[2888]) * 2.0678571;
+ vX_[2802] = (0 - vX_[2684]) * -0.0053433;
+ vX_[2924] = (0 - vX_[2861]) * -0.00571;
+ vX_[2951] = vX_[2892] * 0.190812;
+ vX_[2952] = vX_[923] + vX_[2802] - vX_[2924] - vX_[2951];
+ vX_[3090] = vX_[1940] + vX_[3090] + vX_[307];
+ vX_[3090] = vX_[155] * 0.08 + vX_[2731] * vX_[4] + vX_[2533] * vX_[65] + vX_[162] * vX_[812] + vX_[720] * vX_[823] + vX_[348] * vX_[808] + vX_[1468] * vX_[816] + vX_[3090] * vX_[810] + vX_[3090] * vX_[810];
+ jac[1220] = vX_[2902] * vX_[876] + vX_[156] * vX_[812] + vX_[3685] * vX_[873] + vX_[553] * vX_[808] + vX_[3090];
+ vX_[3262] = vX_[3610] + vX_[3262] + vX_[3597];
+ vX_[3262] = vX_[2571] * -0.08 + vX_[3615] * vX_[148] + vX_[3508] * vX_[128] + vX_[2608] * vX_[814] + vX_[3335] * vX_[894] + vX_[2744] * vX_[882] + vX_[3192] * vX_[884] + vX_[3262] * vX_[813] + vX_[3262] * vX_[813];
+ jac[1112] = vX_[3083] * vX_[931] + vX_[3299] * vX_[814] + vX_[3612] * vX_[928] + vX_[3595] * vX_[882] + vX_[3262];
+ vX_[1119] = vX_[1240] + vX_[1119] + vX_[1231];
+ vX_[1119] = vX_[2134] * 0.08 + vX_[1191] * vX_[266] + vX_[1313] * vX_[238] + vX_[1146] * vX_[934] + vX_[1074] * vX_[957] + vX_[1202] * vX_[937] + vX_[762] * vX_[950] + vX_[1119] * vX_[840] + vX_[1119] * vX_[840];
+ jac[1004] = vX_[1031] * vX_[1010] + vX_[1284] * vX_[934] + vX_[1186] * vX_[1007] + vX_[1242] * vX_[937] + vX_[1119];
+ vX_[3073] = vX_[3105] + vX_[3073] + vX_[3107];
+ vX_[3073] = vX_[2988] * -0.08 + vX_[3102] * vX_[383] + vX_[3101] * vX_[356] + vX_[2990] * vX_[725] + vX_[3076] * vX_[690] + vX_[2986] * vX_[704] + vX_[3074] * vX_[664] + vX_[3073] * vX_[697] + vX_[3073] * vX_[697];
+ jac[680] = vX_[2928] * x_in[23] + vX_[2842] * x_in[22] + vX_[1511] * x_in[20] + vX_[2080] * x_in[19] + vX_[2952] * x_in[18] + vX_[2952] * x_in[18] + vX_[3090] + vX_[1667] * vX_[811] + vX_[349] * vX_[5] + vX_[2320] * vX_[880] + vX_[3071] * vX_[126] + vX_[3262] * -1 + vX_[1119] + vX_[1373] * vX_[935] + vX_[1085] * vX_[236] + vX_[2993] * vX_[724] + vX_[3079] * vX_[354] + vX_[3073] * -1;
+ jac[896] = vX_[3078] * vX_[722] + vX_[2992] * vX_[725] + vX_[3104] * vX_[719] + vX_[3109] * vX_[704] + vX_[3073];
+ vX_[3073] = vX_[2918] * -53.433;
+ vX_[3104] = vX_[3046] * -1.1915559;
+ vX_[3109] = vX_[2985] * 2.0678571;
+ vX_[3078] = vX_[3073] - vX_[3104] + vX_[3109];
+ vX_[2992] = vX_[2835] * 53.433 + (0 - vX_[3030]) * -1.1915559 + vX_[2985] * -0.0053433;
+ vX_[1119] = vX_[2835] * -1.1915559 + vX_[3048] * 2.0678571 + vX_[3046] * 0.012668 + (0 - vX_[3030]) * 4.847485 + (0 - vX_[2985]) * -0.00571;
+ vX_[3262] = vX_[2918] * -1.1915559 + vX_[3048] * -0.0053433 + vX_[3046] * 4.374212 + (0 - vX_[3030]) * 0.012668 + vX_[2985] * 0.190812;
+ vX_[3090] = (0 - vX_[2835]) * 2.0678571;
+ vX_[2952] = (0 - vX_[2918]) * -0.0053433;
+ vX_[3074] = (0 - vX_[3046]) * -0.00571;
+ vX_[3101] = vX_[3030] * 0.190812;
+ vX_[3102] = vX_[3090] + vX_[2952] - vX_[3074] - vX_[3101];
+ vX_[2898] = vX_[2822] + vX_[2898] + vX_[2563];
+ vX_[2898] = vX_[522] * 0.08 + vX_[2881] * vX_[4] + vX_[2769] * vX_[65] + vX_[3677] * vX_[812] + vX_[2618] * vX_[823] + vX_[3347] * vX_[808] + vX_[2426] * vX_[816] + vX_[2898] * vX_[810] + vX_[2898] * vX_[810];
+ jac[1221] = vX_[2211] * vX_[876] + vX_[3558] * vX_[812] + vX_[1597] * vX_[873] + vX_[2875] * vX_[808] + vX_[2898];
+ vX_[561] = vX_[3586] + vX_[561] + vX_[3583];
+ vX_[561] = vX_[2899] * -0.08 + vX_[3426] * vX_[148] + vX_[3578] * vX_[128] + vX_[3634] * vX_[814] + vX_[556] * vX_[894] + vX_[2894] * vX_[882] + vX_[560] * vX_[884] + vX_[561] * vX_[813] + vX_[561] * vX_[813];
+ jac[1113] = vX_[511] * vX_[931] + vX_[376] * vX_[814] + vX_[303] * vX_[928] + vX_[999] * vX_[882] + vX_[561];
+ vX_[620] = vX_[679] + vX_[620] + vX_[658];
+ vX_[620] = vX_[1761] * 0.08 + vX_[472] * vX_[266] + vX_[656] * vX_[238] + vX_[3459] * vX_[934] + vX_[438] * vX_[957] + vX_[718] * vX_[937] + vX_[452] * vX_[950] + vX_[620] * vX_[840] + vX_[620] * vX_[840];
+ jac[1005] = vX_[437] * vX_[1010] + vX_[3279] * vX_[934] + vX_[681] * vX_[1007] + vX_[654] * vX_[937] + vX_[620];
+ vX_[3215] = vX_[3247] + vX_[3215] + vX_[3249];
+ vX_[3215] = vX_[3130] * -0.08 + vX_[3244] * vX_[383] + vX_[3243] * vX_[356] + vX_[3132] * vX_[725] + vX_[3218] * vX_[690] + vX_[3128] * vX_[704] + vX_[3216] * vX_[664] + vX_[3215] * vX_[697] + vX_[3215] * vX_[697];
+ jac[681] = vX_[3078] * x_in[23] + vX_[2992] * x_in[22] + vX_[1119] * x_in[20] + vX_[3262] * x_in[19] + vX_[3102] * x_in[18] + vX_[3102] * x_in[18] + vX_[2898] + vX_[1700] * vX_[811] + vX_[705] * vX_[5] + vX_[2783] * vX_[880] + vX_[510] * vX_[126] + vX_[561] * -1 + vX_[620] + vX_[3397] * vX_[935] + vX_[747] * vX_[236] + vX_[3135] * vX_[724] + vX_[3221] * vX_[354] + vX_[3215] * -1;
+ jac[897] = vX_[3220] * vX_[722] + vX_[3134] * vX_[725] + vX_[3246] * vX_[719] + vX_[3251] * vX_[704] + vX_[3215];
+ vX_[3215] = vX_[3165] * -53.433;
+ vX_[3246] = vX_[3068] * -1.1915559;
+ vX_[3251] = vX_[3118] * 2.0678571;
+ vX_[3220] = vX_[3215] - vX_[3246] + vX_[3251];
+ vX_[3134] = vX_[3129] * 53.433 + (0 - vX_[3012]) * -1.1915559 + vX_[3118] * -0.0053433;
+ vX_[620] = vX_[3129] * -1.1915559 + vX_[3153] * 2.0678571 + vX_[3068] * 0.012668 + (0 - vX_[3012]) * 4.847485 + (0 - vX_[3118]) * -0.00571;
+ vX_[561] = vX_[3165] * -1.1915559 + vX_[3153] * -0.0053433 + vX_[3068] * 4.374212 + (0 - vX_[3012]) * 0.012668 + vX_[3118] * 0.190812;
+ vX_[2898] = (0 - vX_[3129]) * 2.0678571;
+ vX_[3102] = (0 - vX_[3165]) * -0.0053433;
+ vX_[3216] = (0 - vX_[3068]) * -0.00571;
+ vX_[3243] = vX_[3012] * 0.190812;
+ vX_[3244] = vX_[2898] + vX_[3102] - vX_[3216] - vX_[3243];
+ vX_[1822] = vX_[2749] + vX_[1822] + vX_[1867];
+ vX_[1822] = vX_[378] * 0.08 + vX_[2229] * vX_[4] + vX_[2837] * vX_[65] + vX_[3694] * vX_[812] + vX_[677] * vX_[823] + vX_[2627] * vX_[808] + vX_[2643] * vX_[816] + vX_[1822] * vX_[810] + vX_[1822] * vX_[810];
+ jac[1222] = vX_[1370] * vX_[876] + vX_[3380] * vX_[812] + vX_[1066] * vX_[873] + vX_[1837] * vX_[808] + vX_[1822];
+ vX_[3664] = vX_[3701] + vX_[3664] + vX_[3703];
+ vX_[3664] = vX_[1593] * -0.08 + vX_[3698] * vX_[148] + vX_[3697] * vX_[128] + vX_[2935] * vX_[814] + vX_[3667] * vX_[894] + vX_[315] * vX_[882] + vX_[3665] * vX_[884] + vX_[3664] * vX_[813] + vX_[3664] * vX_[813];
+ jac[1114] = vX_[3669] * vX_[931] + vX_[961] * vX_[814] + vX_[3700] * vX_[928] + vX_[3705] * vX_[882] + vX_[3664];
+ vX_[3513] = vX_[3422] + vX_[3513] + vX_[3419];
+ vX_[3513] = vX_[1295] * 0.08 + vX_[3496] * vX_[266] + vX_[3425] * vX_[238] + vX_[739] * vX_[934] + vX_[3548] * vX_[957] + vX_[3494] * vX_[937] + vX_[3546] * vX_[950] + vX_[3513] * vX_[840] + vX_[3513] * vX_[840];
+ jac[1006] = vX_[3549] * vX_[1010] + vX_[426] * vX_[934] + vX_[3424] * vX_[1007] + vX_[3507] * vX_[937] + vX_[3513];
+ vX_[3367] = vX_[3399] + vX_[3367] + vX_[3401];
+ vX_[3367] = vX_[3282] * -0.08 + vX_[3396] * vX_[383] + vX_[3395] * vX_[356] + vX_[3284] * vX_[725] + vX_[3370] * vX_[690] + vX_[3280] * vX_[704] + vX_[3368] * vX_[664] + vX_[3367] * vX_[697] + vX_[3367] * vX_[697];
+ jac[682] = vX_[3220] * x_in[23] + vX_[3134] * x_in[22] + vX_[620] * x_in[20] + vX_[561] * x_in[19] + vX_[3244] * x_in[18] + vX_[3244] * x_in[18] + vX_[1822] + vX_[2946] * vX_[811] + vX_[2715] * vX_[5] + vX_[562] * vX_[880] + vX_[3670] * vX_[126] + vX_[3664] * -1 + vX_[3513] + vX_[3499] * vX_[935] + vX_[3418] * vX_[236] + vX_[3287] * vX_[724] + vX_[3373] * vX_[354] + vX_[3367] * -1;
+ jac[898] = vX_[3372] * vX_[722] + vX_[3286] * vX_[725] + vX_[3398] * vX_[719] + vX_[3403] * vX_[704] + vX_[3367];
+ vX_[3367] = vX_[3317] * -53.433;
+ vX_[3398] = vX_[3125] * -1.1915559;
+ vX_[3403] = vX_[3358] * 2.0678571;
+ vX_[3372] = vX_[3367] - vX_[3398] + vX_[3403];
+ vX_[3286] = vX_[682] * 53.433 + (0 - vX_[3242]) * -1.1915559 + vX_[3358] * -0.0053433;
+ vX_[3513] = vX_[682] * -1.1915559 + vX_[3305] * 2.0678571 + vX_[3125] * 0.012668 + (0 - vX_[3242]) * 4.847485 + (0 - vX_[3358]) * -0.00571;
+ vX_[3664] = vX_[3317] * -1.1915559 + vX_[3305] * -0.0053433 + vX_[3125] * 4.374212 + (0 - vX_[3242]) * 0.012668 + vX_[3358] * 0.190812;
+ vX_[1822] = (0 - vX_[682]) * 2.0678571;
+ vX_[3244] = (0 - vX_[3317]) * -0.0053433;
+ vX_[3368] = (0 - vX_[3125]) * -0.00571;
+ vX_[3395] = vX_[3242] * 0.190812;
+ vX_[3396] = vX_[1822] + vX_[3244] - vX_[3368] - vX_[3395];
+ vX_[3161] = vX_[3540] + vX_[3161] + vX_[3365];
+ vX_[3161] = vX_[3676] * 0.08 + vX_[1844] * vX_[4] + vX_[7] * vX_[65] + vX_[1645] * vX_[812] + vX_[2079] * vX_[823] + vX_[726] * vX_[808] + vX_[482] * vX_[816] + vX_[3161] * vX_[810] + vX_[3161] * vX_[810];
+ jac[1223] = vX_[2541] * vX_[876] + vX_[2710] * vX_[812] + vX_[527] * vX_[873] + vX_[53] * vX_[808] + vX_[3161];
+ vX_[3750] = vX_[3786] + vX_[3750] + vX_[3788];
+ vX_[3750] = vX_[617] * -0.08 + vX_[3784] * vX_[148] + vX_[182] * vX_[128] + vX_[2949] * vX_[814] + vX_[3753] * vX_[894] + vX_[3692] * vX_[882] + vX_[3751] * vX_[884] + vX_[3750] * vX_[813] + vX_[3750] * vX_[813];
+ jac[1115] = vX_[3755] * vX_[931] + vX_[3699] * vX_[814] + vX_[541] * vX_[928] + vX_[193] * vX_[882] + vX_[3750];
+ vX_[3599] = vX_[3590] + vX_[3599] + vX_[3592];
+ vX_[3599] = vX_[3394] * 0.08 + vX_[3582] * vX_[266] + vX_[301] * vX_[238] + vX_[3563] * vX_[934] + vX_[3632] * vX_[957] + vX_[3587] * vX_[937] + vX_[508] * vX_[950] + vX_[3599] * vX_[840] + vX_[3599] * vX_[840];
+ jac[1007] = vX_[3633] * vX_[1010] + vX_[3565] * vX_[934] + vX_[555] * vX_[1007] + vX_[312] * vX_[937] + vX_[3599];
+ vX_[3477] = vX_[3502] + vX_[3477] + vX_[3504];
+ vX_[3477] = vX_[3433] * -0.08 + vX_[3500] * vX_[383] + vX_[420] * vX_[356] + vX_[3435] * vX_[725] + vX_[3480] * vX_[690] + vX_[3431] * vX_[704] + vX_[3478] * vX_[664] + vX_[3477] * vX_[697] + vX_[3477] * vX_[697];
+ jac[683] = vX_[3372] * x_in[23] + vX_[3286] * x_in[22] + vX_[3513] * x_in[20] + vX_[3664] * x_in[19] + vX_[3396] * x_in[18] + vX_[3396] * x_in[18] + vX_[3161] + vX_[2919] * vX_[811] + vX_[843] * vX_[5] + vX_[3662] * vX_[880] + vX_[3756] * vX_[126] + vX_[3750] * -1 + vX_[3599] + vX_[3566] * vX_[935] + vX_[977] * vX_[236] + vX_[3438] * vX_[724] + vX_[3483] * vX_[354] + vX_[3477] * -1;
+ jac[899] = vX_[3482] * vX_[722] + vX_[3437] * vX_[725] + vX_[569] * vX_[719] + vX_[431] * vX_[704] + vX_[3477];
+ vX_[3477] = vX_[646] * 53.433 + (0 - vX_[631]) * -0.0053433 + vX_[755] * 2.0678571;
+ jac[846] = vX_[3477] * x_in[19] + vX_[26] * x_in[18] + vX_[181] * vX_[88] + vX_[940] * vX_[822] + vX_[573] * vX_[197] + vX_[1198] * vX_[125] + vX_[374] * vX_[316] + vX_[732] * vX_[956] + vX_[803] * vX_[435] + vX_[1095] * vX_[583];
+ vX_[26] = 0 - vX_[44];
+ vX_[755] = vX_[676] * -0.0053433 + vX_[685] * 2.0678571 + (0 - vX_[631]) * 0.190812 + vX_[755] * -0.00571 + vX_[761] * 0.473273;
+ vX_[646] = (0 - vX_[646]) * -1.1915559;
+ vX_[761] = (0 - vX_[761]) * 0.012668;
+ vX_[69] = vX_[32] + vX_[646] + vX_[69] - vX_[761];
+ jac[702] = vX_[3477] * x_in[23] + vX_[26] * x_in[21] + vX_[755] * x_in[20] + vX_[2096] * x_in[18] + vX_[69] * x_in[19] + vX_[69] * x_in[19] + vX_[181] * vX_[100] + vX_[940] * vX_[821] + vX_[183] * vX_[50] + vX_[916] * vX_[88] + vX_[573] * vX_[210] + vX_[1198] * vX_[892] + vX_[3481] * vX_[211] + vX_[1041] * vX_[209] + vX_[374] * vX_[328] + vX_[732] * vX_[955] + vX_[402] * vX_[235] + vX_[391] * vX_[316] + vX_[803] * vX_[448] + vX_[1095] * vX_[591] + vX_[1124] * vX_[449] + vX_[1122] * vX_[447];
+ vX_[69] = vX_[758] * 53.433 + (0 - vX_[1063]) * -0.0053433 + vX_[670] * 2.0678571;
+ jac[847] = vX_[69] * x_in[19] + vX_[1094] * x_in[18] + vX_[3672] * vX_[88] + vX_[3493] * vX_[822] + vX_[1070] * vX_[197] + vX_[1567] * vX_[125] + vX_[2976] * vX_[316] + vX_[3098] * vX_[956] + vX_[1137] * vX_[435] + vX_[1228] * vX_[583];
+ vX_[1094] = 0 - vX_[802];
+ vX_[670] = vX_[1028] * -0.0053433 + vX_[1096] * 2.0678571 + (0 - vX_[1063]) * 0.190812 + vX_[670] * -0.00571 + vX_[752] * 0.473273;
+ vX_[758] = (0 - vX_[758]) * -1.1915559;
+ vX_[752] = (0 - vX_[752]) * 0.012668;
+ vX_[1090] = vX_[127] + vX_[758] + vX_[1090] - vX_[752];
+ jac[703] = vX_[69] * x_in[23] + vX_[1094] * x_in[21] + vX_[670] * x_in[20] + vX_[523] * x_in[18] + vX_[1090] * x_in[19] + vX_[1090] * x_in[19] + vX_[3672] * vX_[100] + vX_[3493] * vX_[821] + vX_[2823] * vX_[50] + vX_[2304] * vX_[88] + vX_[1070] * vX_[210] + vX_[1567] * vX_[892] + vX_[1457] * vX_[211] + vX_[1566] * vX_[209] + vX_[2976] * vX_[328] + vX_[3098] * vX_[955] + vX_[2933] * vX_[235] + vX_[2910] * vX_[316] + vX_[1137] * vX_[448] + vX_[1228] * vX_[591] + vX_[1257] * vX_[449] + vX_[1255] * vX_[447];
+ vX_[1090] = vX_[1160] * 53.433 + (0 - vX_[1184]) * -0.0053433 + vX_[1193] * 2.0678571;
+ jac[848] = vX_[1090] * x_in[19] + vX_[1227] * x_in[18] + vX_[134] * vX_[88] + vX_[1733] * vX_[822] + vX_[3443] * vX_[197] + vX_[2486] * vX_[125] + vX_[2915] * vX_[316] + vX_[2534] * vX_[956] + vX_[1265] * vX_[435] + vX_[1359] * vX_[583];
+ vX_[1227] = 0 - vX_[1136];
+ vX_[1193] = vX_[1229] * -0.0053433 + vX_[1233] * 2.0678571 + (0 - vX_[1184]) * 0.190812 + vX_[1193] * -0.00571 + vX_[1061] * 0.473273;
+ vX_[1160] = (0 - vX_[1160]) * -1.1915559;
+ vX_[1061] = (0 - vX_[1061]) * 0.012668;
+ vX_[1223] = vX_[652] + vX_[1160] + vX_[1223] - vX_[1061];
+ jac[704] = vX_[1090] * x_in[23] + vX_[1227] * x_in[21] + vX_[1193] * x_in[20] + vX_[1207] * x_in[18] + vX_[1223] * x_in[19] + vX_[1223] * x_in[19] + vX_[134] * vX_[100] + vX_[1733] * vX_[821] + vX_[1742] * vX_[50] + vX_[3471] * vX_[88] + vX_[3443] * vX_[210] + vX_[2486] * vX_[892] + vX_[3009] * vX_[211] + vX_[2795] * vX_[209] + vX_[2915] * vX_[328] + vX_[2534] * vX_[955] + vX_[2751] * vX_[235] + vX_[2720] * vX_[316] + vX_[1265] * vX_[448] + vX_[1359] * vX_[591] + vX_[1388] * vX_[449] + vX_[1386] * vX_[447];
+ vX_[1223] = vX_[1332] * 53.433 + (0 - vX_[1285]) * -0.0053433 + vX_[1326] * 2.0678571;
+ jac[849] = vX_[1223] * x_in[19] + vX_[1358] * x_in[18] + vX_[179] * vX_[88] + vX_[1499] * vX_[822] + vX_[2649] * vX_[197] + vX_[2857] * vX_[125] + vX_[2234] * vX_[316] + vX_[2471] * vX_[956] + vX_[1394] * vX_[435] + vX_[1490] * vX_[583];
+ vX_[1358] = 0 - vX_[1264];
+ vX_[1326] = vX_[1364] * -0.0053433 + vX_[1361] * 2.0678571 + (0 - vX_[1285]) * 0.190812 + vX_[1326] * -0.00571 + vX_[1305] * 0.473273;
+ vX_[1332] = (0 - vX_[1332]) * -1.1915559;
+ vX_[1305] = (0 - vX_[1305]) * 0.012668;
+ vX_[1354] = vX_[1366] + vX_[1332] + vX_[1354] - vX_[1305];
+ jac[705] = vX_[1223] * x_in[23] + vX_[1358] * x_in[21] + vX_[1326] * x_in[20] + vX_[2611] * x_in[18] + vX_[1354] * x_in[19] + vX_[1354] * x_in[19] + vX_[179] * vX_[100] + vX_[1499] * vX_[821] + vX_[2785] * vX_[50] + vX_[644] * vX_[88] + vX_[2649] * vX_[210] + vX_[2857] * vX_[892] + vX_[801] * vX_[211] + vX_[1057] * vX_[209] + vX_[2234] * vX_[328] + vX_[2471] * vX_[955] + vX_[2364] * vX_[235] + vX_[2348] * vX_[316] + vX_[1394] * vX_[448] + vX_[1490] * vX_[591] + vX_[1519] * vX_[449] + vX_[1517] * vX_[447];
+ vX_[1354] = vX_[1451] * 53.433 + (0 - vX_[1433]) * -0.0053433 + vX_[1458] * 2.0678571;
+ jac[850] = vX_[1354] * x_in[19] + vX_[1489] * x_in[18] + vX_[1437] * vX_[88] + vX_[1902] * vX_[822] + vX_[2300] * vX_[197] + vX_[1128] * vX_[125] + vX_[2084] * vX_[316] + vX_[1915] * vX_[956] + vX_[1524] * vX_[435] + vX_[1621] * vX_[583];
+ vX_[1489] = 0 - vX_[1393];
+ vX_[1458] = vX_[1496] * -0.0053433 + vX_[1322] * 2.0678571 + (0 - vX_[1433]) * 0.190812 + vX_[1458] * -0.00571 + vX_[1038] * 0.473273;
+ vX_[1451] = (0 - vX_[1451]) * -1.1915559;
+ vX_[1038] = (0 - vX_[1038]) * 0.012668;
+ vX_[1485] = vX_[683] + vX_[1451] + vX_[1485] - vX_[1038];
+ jac[706] = vX_[1354] * x_in[23] + vX_[1489] * x_in[21] + vX_[1458] * x_in[20] + vX_[413] * x_in[18] + vX_[1485] * x_in[19] + vX_[1485] * x_in[19] + vX_[1437] * vX_[100] + vX_[1902] * vX_[821] + vX_[1383] * vX_[50] + vX_[1866] * vX_[88] + vX_[2300] * vX_[210] + vX_[1128] * vX_[892] + vX_[1232] * vX_[211] + vX_[1252] * vX_[209] + vX_[2084] * vX_[328] + vX_[1915] * vX_[955] + vX_[1847] * vX_[235] + vX_[2028] * vX_[316] + vX_[1524] * vX_[448] + vX_[1621] * vX_[591] + vX_[1650] * vX_[449] + vX_[1648] * vX_[447];
+ vX_[1485] = vX_[1582] * 53.433 + (0 - vX_[1564]) * -0.0053433 + vX_[1589] * 2.0678571;
+ jac[851] = vX_[1485] * x_in[19] + vX_[1620] * x_in[18] + vX_[3671] * vX_[88] + vX_[1637] * vX_[822] + vX_[1479] * vX_[197] + vX_[2052] * vX_[125] + vX_[1678] * vX_[316] + vX_[1730] * vX_[956] + vX_[1655] * vX_[435] + vX_[1752] * vX_[583];
+ vX_[1620] = 0 - vX_[1523];
+ vX_[1589] = vX_[1627] * -0.0053433 + vX_[1455] * 2.0678571 + (0 - vX_[1564]) * 0.190812 + vX_[1589] * -0.00571 + vX_[1495] * 0.473273;
+ vX_[1582] = (0 - vX_[1582]) * -1.1915559;
+ vX_[1495] = (0 - vX_[1495]) * 0.012668;
+ vX_[1616] = vX_[451] + vX_[1582] + vX_[1616] - vX_[1495];
+ jac[707] = vX_[1485] * x_in[23] + vX_[1620] * x_in[21] + vX_[1589] * x_in[20] + vX_[1917] * x_in[18] + vX_[1616] * x_in[19] + vX_[1616] * x_in[19] + vX_[3671] * vX_[100] + vX_[1637] * vX_[821] + vX_[3113] * vX_[50] + vX_[2212] * vX_[88] + vX_[1479] * vX_[210] + vX_[2052] * vX_[892] + vX_[2031] * vX_[211] + vX_[1753] * vX_[209] + vX_[1678] * vX_[328] + vX_[1730] * vX_[955] + vX_[1728] * vX_[235] + vX_[1587] * vX_[316] + vX_[1655] * vX_[448] + vX_[1752] * vX_[591] + vX_[1781] * vX_[449] + vX_[1779] * vX_[447];
+ vX_[1616] = vX_[1720] * 53.433 + (0 - vX_[1718]) * -0.0053433 + vX_[1708] * 2.0678571;
+ jac[852] = vX_[1616] * x_in[19] + vX_[1751] * x_in[18] + vX_[169] * vX_[88] + vX_[688] * vX_[822] + vX_[1560] * vX_[197] + vX_[415] * vX_[125] + vX_[1482] * vX_[316] + vX_[1259] * vX_[956] + vX_[1809] * vX_[435] + vX_[1897] * vX_[583];
+ vX_[1751] = 0 - vX_[1654];
+ vX_[1708] = vX_[1577] * -0.0053433 + vX_[1698] * 2.0678571 + (0 - vX_[1718]) * 0.190812 + vX_[1708] * -0.00571 + vX_[1374] * 0.473273;
+ vX_[1720] = (0 - vX_[1720]) * -1.1915559;
+ vX_[1374] = (0 - vX_[1374]) * 0.012668;
+ vX_[1747] = vX_[1760] + vX_[1720] + vX_[1747] - vX_[1374];
+ jac[708] = vX_[1616] * x_in[23] + vX_[1751] * x_in[21] + vX_[1708] * x_in[20] + vX_[2447] * x_in[18] + vX_[1747] * x_in[19] + vX_[1747] * x_in[19] + vX_[169] * vX_[100] + vX_[688] * vX_[821] + vX_[282] * vX_[50] + vX_[321] * vX_[88] + vX_[1560] * vX_[210] + vX_[415] * vX_[892] + vX_[386] * vX_[211] + vX_[3355] * vX_[209] + vX_[1482] * vX_[328] + vX_[1259] * vX_[955] + vX_[1467] * vX_[235] + vX_[1304] * vX_[316] + vX_[1809] * vX_[448] + vX_[1897] * vX_[591] + vX_[1928] * vX_[449] + vX_[1926] * vX_[447];
+ vX_[1747] = vX_[1828] * 53.433 + (0 - vX_[1110]) * -0.0053433 + vX_[1680] * 2.0678571;
+ jac[853] = vX_[1747] * x_in[19] + vX_[1896] * x_in[18] + vX_[177] * vX_[88] + vX_[3564] * vX_[822] + vX_[2383] * vX_[197] + vX_[3185] * vX_[125] + vX_[780] * vX_[316] + vX_[1079] * vX_[956] + vX_[1961] * vX_[435] + vX_[2047] * vX_[583];
+ vX_[1896] = 0 - vX_[1808];
+ vX_[1680] = vX_[1791] * -0.0053433 + vX_[1840] * 2.0678571 + (0 - vX_[1110]) * 0.190812 + vX_[1680] * -0.00571 + vX_[1796] * 0.473273;
+ vX_[1828] = (0 - vX_[1828]) * -1.1915559;
+ vX_[1796] = (0 - vX_[1796]) * 0.012668;
+ vX_[1892] = vX_[3607] + vX_[1828] + vX_[1892] - vX_[1796];
+ jac[709] = vX_[1747] * x_in[23] + vX_[1896] * x_in[21] + vX_[1680] * x_in[20] + vX_[837] * x_in[18] + vX_[1892] * x_in[19] + vX_[1892] * x_in[19] + vX_[177] * vX_[100] + vX_[3564] * vX_[821] + vX_[2449] * vX_[50] + vX_[1454] * vX_[88] + vX_[2383] * vX_[210] + vX_[3185] * vX_[892] + vX_[976] * vX_[211] + vX_[1006] * vX_[209] + vX_[780] * vX_[328] + vX_[1079] * vX_[955] + vX_[1073] * vX_[235] + vX_[1084] * vX_[316] + vX_[1961] * vX_[448] + vX_[2047] * vX_[591] + vX_[2076] * vX_[449] + vX_[2074] * vX_[447];
+ vX_[1892] = vX_[1979] * 53.433 + (0 - vX_[1919]) * -0.0053433 + vX_[1895] * 2.0678571;
+ jac[854] = vX_[1892] * x_in[19] + vX_[2046] * x_in[18] + vX_[687] * vX_[88] + vX_[1323] * vX_[822] + vX_[390] * vX_[197] + vX_[3624] * vX_[125] + vX_[568] * vX_[316] + vX_[411] * vX_[956] + vX_[2109] * vX_[435] + vX_[2195] * vX_[583];
+ vX_[2046] = 0 - vX_[1960];
+ vX_[1895] = vX_[1943] * -0.0053433 + vX_[1991] * 2.0678571 + (0 - vX_[1919]) * 0.190812 + vX_[1895] * -0.00571 + vX_[1948] * 0.473273;
+ vX_[1979] = (0 - vX_[1979]) * -1.1915559;
+ vX_[1948] = (0 - vX_[1948]) * 0.012668;
+ vX_[2042] = vX_[365] + vX_[1979] + vX_[2042] - vX_[1948];
+ jac[710] = vX_[1892] * x_in[23] + vX_[2046] * x_in[21] + vX_[1895] * x_in[20] + vX_[782] * x_in[18] + vX_[2042] * x_in[19] + vX_[2042] * x_in[19] + vX_[687] * vX_[100] + vX_[1323] * vX_[821] + vX_[2054] * vX_[50] + vX_[1278] * vX_[88] + vX_[390] * vX_[210] + vX_[3624] * vX_[892] + vX_[581] * vX_[211] + vX_[3542] * vX_[209] + vX_[568] * vX_[328] + vX_[411] * vX_[955] + vX_[398] * vX_[235] + vX_[400] * vX_[316] + vX_[2109] * vX_[448] + vX_[2195] * vX_[591] + vX_[2224] * vX_[449] + vX_[2222] * vX_[447];
+ vX_[2042] = vX_[2164] * 53.433 + (0 - vX_[2162]) * -0.0053433 + vX_[2146] * 2.0678571;
+ jac[855] = vX_[2042] * x_in[19] + vX_[2194] * x_in[18] + vX_[1159] * vX_[88] + vX_[1114] * vX_[822] + vX_[313] * vX_[197] + vX_[1107] * vX_[125] + vX_[3115] * vX_[316] + vX_[3201] * vX_[956] + vX_[2247] * vX_[435] + vX_[2333] * vX_[583];
+ vX_[2194] = 0 - vX_[2108];
+ vX_[2146] = vX_[2067] * -0.0053433 + vX_[2045] * 2.0678571 + (0 - vX_[2162]) * 0.190812 + vX_[2146] * -0.00571 + vX_[2187] * 0.473273;
+ vX_[2164] = (0 - vX_[2164]) * -1.1915559;
+ vX_[2187] = (0 - vX_[2187]) * 0.012668;
+ vX_[2190] = vX_[1736] + vX_[2164] + vX_[2190] - vX_[2187];
+ jac[711] = vX_[2042] * x_in[23] + vX_[2194] * x_in[21] + vX_[2146] * x_in[20] + vX_[278] * x_in[18] + vX_[2190] * x_in[19] + vX_[2190] * x_in[19] + vX_[1159] * vX_[100] + vX_[1114] * vX_[821] + vX_[1214] * vX_[50] + vX_[974] * vX_[88] + vX_[313] * vX_[210] + vX_[1107] * vX_[892] + vX_[1887] * vX_[211] + vX_[1263] * vX_[209] + vX_[3115] * vX_[328] + vX_[3201] * vX_[955] + vX_[2983] * vX_[235] + vX_[3064] * vX_[316] + vX_[2247] * vX_[448] + vX_[2333] * vX_[591] + vX_[2362] * vX_[449] + vX_[2360] * vX_[447];
+ vX_[2190] = vX_[2265] * 53.433 + (0 - vX_[1993]) * -0.0053433 + vX_[2128] * 2.0678571;
+ jac[856] = vX_[2190] * x_in[19] + vX_[2332] * x_in[18] + vX_[1290] * vX_[88] + vX_[453] * vX_[822] + vX_[3446] * vX_[197] + vX_[2183] * vX_[125] + vX_[1784] * vX_[316] + vX_[2791] * vX_[956] + vX_[2399] * vX_[435] + vX_[2485] * vX_[583];
+ vX_[2332] = 0 - vX_[2246];
+ vX_[2128] = vX_[2241] * -0.0053433 + vX_[2277] * 2.0678571 + (0 - vX_[1993]) * 0.190812 + vX_[2128] * -0.00571 + vX_[2230] * 0.473273;
+ vX_[2265] = (0 - vX_[2265]) * -1.1915559;
+ vX_[2230] = (0 - vX_[2230]) * 0.012668;
+ vX_[2328] = vX_[3272] + vX_[2265] + vX_[2328] - vX_[2230];
+ jac[712] = vX_[2190] * x_in[23] + vX_[2332] * x_in[21] + vX_[2128] * x_in[20] + vX_[1104] * x_in[18] + vX_[2328] * x_in[19] + vX_[2328] * x_in[19] + vX_[1290] * vX_[100] + vX_[453] * vX_[821] + vX_[2026] * vX_[50] + vX_[1836] * vX_[88] + vX_[3446] * vX_[210] + vX_[2183] * vX_[892] + vX_[436] * vX_[211] + vX_[2973] * vX_[209] + vX_[1784] * vX_[328] + vX_[2791] * vX_[955] + vX_[2719] * vX_[235] + vX_[2759] * vX_[316] + vX_[2399] * vX_[448] + vX_[2485] * vX_[591] + vX_[2514] * vX_[449] + vX_[2512] * vX_[447];
+ vX_[2328] = vX_[2417] * 53.433 + (0 - vX_[2237]) * -0.0053433 + vX_[2354] * 2.0678571;
+ jac[857] = vX_[2328] * x_in[19] + vX_[2484] * x_in[18] + vX_[1421] * vX_[88] + vX_[1392] * vX_[822] + vX_[2145] * vX_[197] + vX_[430] * vX_[125] + vX_[3233] * vX_[316] + vX_[2341] * vX_[956] + vX_[2551] * vX_[435] + vX_[2637] * vX_[583];
+ vX_[2484] = 0 - vX_[2398];
+ vX_[2354] = vX_[2393] * -0.0053433 + vX_[2429] * 2.0678571 + (0 - vX_[2237]) * 0.190812 + vX_[2354] * -0.00571 + vX_[2382] * 0.473273;
+ vX_[2417] = (0 - vX_[2417]) * -1.1915559;
+ vX_[2382] = (0 - vX_[2382]) * 0.012668;
+ vX_[2480] = vX_[2640] + vX_[2417] + vX_[2480] - vX_[2382];
+ jac[713] = vX_[2328] * x_in[23] + vX_[2484] * x_in[21] + vX_[2354] * x_in[20] + vX_[2206] * x_in[18] + vX_[2480] * x_in[19] + vX_[2480] * x_in[19] + vX_[1421] * vX_[100] + vX_[1392] * vX_[821] + vX_[3516] * vX_[50] + vX_[252] * vX_[88] + vX_[2145] * vX_[210] + vX_[430] * vX_[892] + vX_[1508] * vX_[211] + vX_[1476] * vX_[209] + vX_[3233] * vX_[328] + vX_[2341] * vX_[955] + vX_[2336] * vX_[235] + vX_[2345] * vX_[316] + vX_[2551] * vX_[448] + vX_[2637] * vX_[591] + vX_[2666] * vX_[449] + vX_[2664] * vX_[447];
+ vX_[2480] = vX_[2606] * 53.433 + (0 - vX_[2604]) * -0.0053433 + vX_[2588] * 2.0678571;
+ jac[858] = vX_[2480] * x_in[19] + vX_[2636] * x_in[18] + vX_[1552] * vX_[88] + vX_[3623] * vX_[822] + vX_[3261] * vX_[197] + vX_[1347] * vX_[125] + vX_[2787] * vX_[316] + vX_[1987] * vX_[956] + vX_[2693] * vX_[435] + vX_[2779] * vX_[583];
+ vX_[2636] = 0 - vX_[2550];
+ vX_[2588] = vX_[2389] * -0.0053433 + vX_[2506] * 2.0678571 + (0 - vX_[2604]) * 0.190812 + vX_[2588] * -0.00571 + vX_[2543] * 0.473273;
+ vX_[2606] = (0 - vX_[2606]) * -1.1915559;
+ vX_[2543] = (0 - vX_[2543]) * 0.012668;
+ vX_[2632] = vX_[262] + vX_[2606] + vX_[2632] - vX_[2543];
+ jac[714] = vX_[2480] * x_in[23] + vX_[2636] * x_in[21] + vX_[2588] * x_in[20] + vX_[2859] * x_in[18] + vX_[2632] * x_in[19] + vX_[2632] * x_in[19] + vX_[1552] * vX_[100] + vX_[3623] * vX_[821] + vX_[3736] * vX_[50] + vX_[3764] * vX_[88] + vX_[3261] * vX_[210] + vX_[1347] * vX_[892] + vX_[2088] * vX_[211] + vX_[2087] * vX_[209] + vX_[2787] * vX_[328] + vX_[1987] * vX_[955] + vX_[1889] * vX_[235] + vX_[1794] * vX_[316] + vX_[2693] * vX_[448] + vX_[2779] * vX_[591] + vX_[2808] * vX_[449] + vX_[2806] * vX_[447];
+ vX_[2632] = vX_[2728] * 53.433 + (0 - vX_[2711]) * -0.0053433 + vX_[2742] * 2.0678571;
+ jac[859] = vX_[2632] * x_in[19] + vX_[2778] * x_in[18] + vX_[1683] * vX_[88] + vX_[154] * vX_[822] + vX_[1076] * vX_[197] + vX_[2177] * vX_[125] + vX_[1732] * vX_[316] + vX_[1595] * vX_[956] + vX_[2843] * vX_[435] + vX_[2929] * vX_[583];
+ vX_[2778] = 0 - vX_[2692];
+ vX_[2742] = vX_[2738] * -0.0053433 + vX_[2545] * 2.0678571 + (0 - vX_[2711]) * 0.190812 + vX_[2742] * -0.00571 + vX_[2678] * 0.473273;
+ vX_[2728] = (0 - vX_[2728]) * -1.1915559;
+ vX_[2678] = (0 - vX_[2678]) * 0.012668;
+ vX_[2774] = vX_[3572] + vX_[2728] + vX_[2774] - vX_[2678];
+ jac[715] = vX_[2632] * x_in[23] + vX_[2778] * x_in[21] + vX_[2742] * x_in[20] + vX_[1428] * x_in[18] + vX_[2774] * x_in[19] + vX_[2774] * x_in[19] + vX_[1683] * vX_[100] + vX_[154] * vX_[821] + vX_[975] * vX_[50] + vX_[3569] * vX_[88] + vX_[1076] * vX_[210] + vX_[2177] * vX_[892] + vX_[2385] * vX_[211] + vX_[2619] * vX_[209] + vX_[1732] * vX_[328] + vX_[1595] * vX_[955] + vX_[1635] * vX_[235] + vX_[1624] * vX_[316] + vX_[2843] * vX_[448] + vX_[2929] * vX_[591] + vX_[2958] * vX_[449] + vX_[2956] * vX_[447];
+ vX_[2774] = vX_[2878] * 53.433 + (0 - vX_[2861]) * -0.0053433 + vX_[2892] * 2.0678571;
+ jac[860] = vX_[2774] * x_in[19] + vX_[2928] * x_in[18] + vX_[1667] * vX_[88] + vX_[349] * vX_[822] + vX_[2320] * vX_[197] + vX_[3071] * vX_[125] + vX_[1373] * vX_[316] + vX_[1085] * vX_[956] + vX_[2993] * vX_[435] + vX_[3079] * vX_[583];
+ vX_[2928] = 0 - vX_[2842];
+ vX_[2892] = vX_[2888] * -0.0053433 + vX_[2684] * 2.0678571 + (0 - vX_[2861]) * 0.190812 + vX_[2892] * -0.00571 + vX_[2828] * 0.473273;
+ vX_[2878] = (0 - vX_[2878]) * -1.1915559;
+ vX_[2828] = (0 - vX_[2828]) * 0.012668;
+ vX_[2924] = vX_[923] + vX_[2878] + vX_[2924] - vX_[2828];
+ jac[716] = vX_[2774] * x_in[23] + vX_[2928] * x_in[21] + vX_[2892] * x_in[20] + vX_[2080] * x_in[18] + vX_[2924] * x_in[19] + vX_[2924] * x_in[19] + vX_[1667] * vX_[100] + vX_[349] * vX_[821] + vX_[3574] * vX_[50] + vX_[1676] * vX_[88] + vX_[2320] * vX_[210] + vX_[3071] * vX_[892] + vX_[3596] * vX_[211] + vX_[3603] * vX_[209] + vX_[1373] * vX_[328] + vX_[1085] * vX_[955] + vX_[1153] * vX_[235] + vX_[1034] * vX_[316] + vX_[2993] * vX_[448] + vX_[3079] * vX_[591] + vX_[3108] * vX_[449] + vX_[3106] * vX_[447];
+ vX_[2924] = vX_[3048] * 53.433 + (0 - vX_[3046]) * -0.0053433 + vX_[3030] * 2.0678571;
+ jac[861] = vX_[2924] * x_in[19] + vX_[3078] * x_in[18] + vX_[1700] * vX_[88] + vX_[705] * vX_[822] + vX_[2783] * vX_[197] + vX_[510] * vX_[125] + vX_[3397] * vX_[316] + vX_[747] * vX_[956] + vX_[3135] * vX_[435] + vX_[3221] * vX_[583];
+ vX_[3078] = 0 - vX_[2992];
+ vX_[3030] = vX_[2835] * -0.0053433 + vX_[2918] * 2.0678571 + (0 - vX_[3046]) * 0.190812 + vX_[3030] * -0.00571 + vX_[2985] * 0.473273;
+ vX_[3048] = (0 - vX_[3048]) * -1.1915559;
+ vX_[2985] = (0 - vX_[2985]) * 0.012668;
+ vX_[3074] = vX_[3090] + vX_[3048] + vX_[3074] - vX_[2985];
+ jac[717] = vX_[2924] * x_in[23] + vX_[3078] * x_in[21] + vX_[3030] * x_in[20] + vX_[3262] * x_in[18] + vX_[3074] * x_in[19] + vX_[3074] * x_in[19] + vX_[1700] * vX_[100] + vX_[705] * vX_[821] + vX_[2880] * vX_[50] + vX_[3055] * vX_[88] + vX_[2783] * vX_[210] + vX_[510] * vX_[892] + vX_[1002] * vX_[211] + vX_[3584] * vX_[209] + vX_[3397] * vX_[328] + vX_[747] * vX_[955] + vX_[657] * vX_[235] + vX_[678] * vX_[316] + vX_[3135] * vX_[448] + vX_[3221] * vX_[591] + vX_[3250] * vX_[449] + vX_[3248] * vX_[447];
+ vX_[3074] = vX_[3153] * 53.433 + (0 - vX_[3068]) * -0.0053433 + vX_[3012] * 2.0678571;
+ jac[862] = vX_[3074] * x_in[19] + vX_[3220] * x_in[18] + vX_[2946] * vX_[88] + vX_[2715] * vX_[822] + vX_[562] * vX_[197] + vX_[3670] * vX_[125] + vX_[3499] * vX_[316] + vX_[3418] * vX_[956] + vX_[3287] * vX_[435] + vX_[3373] * vX_[583];
+ vX_[3220] = 0 - vX_[3134];
+ vX_[3012] = vX_[3129] * -0.0053433 + vX_[3165] * 2.0678571 + (0 - vX_[3068]) * 0.190812 + vX_[3012] * -0.00571 + vX_[3118] * 0.473273;
+ vX_[3153] = (0 - vX_[3153]) * -1.1915559;
+ vX_[3118] = (0 - vX_[3118]) * 0.012668;
+ vX_[3216] = vX_[2898] + vX_[3153] + vX_[3216] - vX_[3118];
+ jac[718] = vX_[3074] * x_in[23] + vX_[3220] * x_in[21] + vX_[3012] * x_in[20] + vX_[561] * x_in[18] + vX_[3216] * x_in[19] + vX_[3216] * x_in[19] + vX_[2946] * vX_[100] + vX_[2715] * vX_[821] + vX_[2730] * vX_[50] + vX_[2780] * vX_[88] + vX_[562] * vX_[210] + vX_[3670] * vX_[892] + vX_[3704] * vX_[211] + vX_[3702] * vX_[209] + vX_[3499] * vX_[328] + vX_[3418] * vX_[955] + vX_[3506] * vX_[235] + vX_[234] * vX_[316] + vX_[3287] * vX_[448] + vX_[3373] * vX_[591] + vX_[3402] * vX_[449] + vX_[3400] * vX_[447];
+ vX_[3216] = vX_[3305] * 53.433 + (0 - vX_[3125]) * -0.0053433 + vX_[3242] * 2.0678571;
+ jac[863] = vX_[3216] * x_in[19] + vX_[3372] * x_in[18] + vX_[2919] * vX_[88] + vX_[843] * vX_[822] + vX_[3662] * vX_[197] + vX_[3756] * vX_[125] + vX_[3566] * vX_[316] + vX_[977] * vX_[956] + vX_[3438] * vX_[435] + vX_[3483] * vX_[583];
+ vX_[3372] = 0 - vX_[3286];
+ vX_[3242] = vX_[682] * -0.0053433 + vX_[3317] * 2.0678571 + (0 - vX_[3125]) * 0.190812 + vX_[3242] * -0.00571 + vX_[3358] * 0.473273;
+ vX_[3305] = (0 - vX_[3305]) * -1.1915559;
+ vX_[3358] = (0 - vX_[3358]) * 0.012668;
+ vX_[3368] = vX_[1822] + vX_[3305] + vX_[3368] - vX_[3358];
+ jac[719] = vX_[3216] * x_in[23] + vX_[3372] * x_in[21] + vX_[3242] * x_in[20] + vX_[3664] * x_in[18] + vX_[3368] * x_in[19] + vX_[3368] * x_in[19] + vX_[2919] * vX_[100] + vX_[843] * vX_[821] + vX_[2812] * vX_[50] + vX_[3062] * vX_[88] + vX_[3662] * vX_[210] + vX_[3756] * vX_[892] + vX_[3789] * vX_[211] + vX_[3787] * vX_[209] + vX_[3566] * vX_[328] + vX_[977] * vX_[955] + vX_[3593] * vX_[235] + vX_[3591] * vX_[316] + vX_[3438] * vX_[448] + vX_[3483] * vX_[591] + vX_[3505] * vX_[449] + vX_[3503] * vX_[447];
+ vX_[3477] = 0 - vX_[3477];
+ jac[810] = vX_[3477] * x_in[20] + vX_[44] * x_in[18] + vX_[181] * vX_[50] + vX_[940] * vX_[88] + vX_[573] * vX_[879] + vX_[1198] * vX_[893] + vX_[374] * vX_[235] + vX_[732] * vX_[316] + vX_[803] * vX_[353] + vX_[1095] * vX_[587];
+ vX_[3300] = 0 - vX_[3289] + vX_[1898] - vX_[3300];
+ vX_[761] = vX_[41] + vX_[646] + vX_[3374] + vX_[761];
+ vX_[3576] = vX_[138] * vX_[833] + vX_[918] * vX_[819] + vX_[897] * vX_[808] + vX_[3576] * vX_[816];
+ vX_[1020] = vX_[3552] * vX_[148] + vX_[1688] * vX_[128] + vX_[3567] * vX_[882] + vX_[1020] * vX_[884];
+ vX_[3119] = vX_[361] * vX_[967] + vX_[408] * vX_[953] + vX_[384] * vX_[937] + vX_[3119] * vX_[950];
+ vX_[1091] = vX_[1086] * vX_[383] + vX_[1088] * vX_[356] + vX_[799] * vX_[704] + vX_[1091] * vX_[664];
+ jac[738] = vX_[3477] * x_in[22] + vX_[3300] * x_in[21] + vX_[755] * x_in[19] + vX_[3175] * x_in[18] + vX_[761] * x_in[20] + vX_[761] * x_in[20] + vX_[3576] * 0.207 + vX_[181] * vX_[102] + vX_[940] * vX_[820] + vX_[183] * vX_[88] + vX_[916] * vX_[101] + vX_[1020] * 0.207 + vX_[573] * vX_[212] + vX_[1198] * vX_[891] + vX_[3481] * vX_[197] + vX_[1041] * vX_[211] + vX_[3119] * 0.207 + vX_[374] * vX_[330] + vX_[732] * vX_[954] + vX_[402] * vX_[316] + vX_[391] * vX_[329] + vX_[1091] * 0.207 + vX_[803] * vX_[450] + vX_[1095] * vX_[696] + vX_[1124] * vX_[435] + vX_[1122] * vX_[449];
+ jac[774] = vX_[3300] * x_in[20] + vX_[26] * x_in[19] + vX_[3576] + vX_[1020] * -1 + vX_[3119] + vX_[1091] * -1;
+ vX_[69] = 0 - vX_[69];
+ jac[811] = vX_[69] * x_in[20] + vX_[802] * x_in[18] + vX_[3672] * vX_[50] + vX_[3493] * vX_[88] + vX_[1070] * vX_[879] + vX_[1567] * vX_[893] + vX_[2976] * vX_[235] + vX_[3098] * vX_[316] + vX_[1137] * vX_[353] + vX_[1228] * vX_[587];
+ vX_[1125] = 0 - vX_[1089] + vX_[1120] - vX_[1125];
+ vX_[752] = vX_[2334] + vX_[758] + vX_[1117] + vX_[752];
+ vX_[1372] = vX_[140] * vX_[833] + vX_[3452] * vX_[819] + vX_[136] * vX_[808] + vX_[1372] * vX_[816];
+ vX_[1053] = vX_[1726] * vX_[148] + vX_[763] * vX_[128] + vX_[785] * vX_[882] + vX_[1053] * vX_[884];
+ vX_[2672] = vX_[3234] * vX_[967] + vX_[651] * vX_[953] + vX_[2972] * vX_[937] + vX_[2672] * vX_[950];
+ vX_[1224] = vX_[1219] * vX_[383] + vX_[1221] * vX_[356] + vX_[1133] * vX_[704] + vX_[1224] * vX_[664];
+ jac[739] = vX_[69] * x_in[22] + vX_[1125] * x_in[21] + vX_[670] * x_in[19] + vX_[740] * x_in[18] + vX_[752] * x_in[20] + vX_[752] * x_in[20] + vX_[1372] * 0.207 + vX_[3672] * vX_[102] + vX_[3493] * vX_[820] + vX_[2823] * vX_[88] + vX_[2304] * vX_[101] + vX_[1053] * 0.207 + vX_[1070] * vX_[212] + vX_[1567] * vX_[891] + vX_[1457] * vX_[197] + vX_[1566] * vX_[211] + vX_[2672] * 0.207 + vX_[2976] * vX_[330] + vX_[3098] * vX_[954] + vX_[2933] * vX_[316] + vX_[2910] * vX_[329] + vX_[1224] * 0.207 + vX_[1137] * vX_[450] + vX_[1228] * vX_[696] + vX_[1257] * vX_[435] + vX_[1255] * vX_[449];
+ jac[775] = vX_[1125] * x_in[20] + vX_[1094] * x_in[19] + vX_[1372] + vX_[1053] * -1 + vX_[2672] + vX_[1224] * -1;
+ vX_[1090] = 0 - vX_[1090];
+ jac[812] = vX_[1090] * x_in[20] + vX_[1136] * x_in[18] + vX_[134] * vX_[50] + vX_[1733] * vX_[88] + vX_[3443] * vX_[879] + vX_[2486] * vX_[893] + vX_[2915] * vX_[235] + vX_[2534] * vX_[316] + vX_[1265] * vX_[353] + vX_[1359] * vX_[587];
+ vX_[1258] = 0 - vX_[1222] + vX_[1253] - vX_[1258];
+ vX_[1061] = vX_[1118] + vX_[1160] + vX_[1250] + vX_[1061];
+ vX_[338] = vX_[735] * vX_[833] + vX_[129] * vX_[819] + vX_[3526] * vX_[808] + vX_[338] * vX_[816];
+ vX_[2269] = vX_[2718] * vX_[148] + vX_[2565] * vX_[128] + vX_[1425] * vX_[882] + vX_[2269] * vX_[884];
+ vX_[2650] = vX_[2528] * vX_[967] + vX_[3209] * vX_[953] + vX_[366] * vX_[937] + vX_[2650] * vX_[950];
+ vX_[1355] = vX_[1350] * vX_[383] + vX_[1352] * vX_[356] + vX_[1261] * vX_[704] + vX_[1355] * vX_[664];
+ jac[740] = vX_[1090] * x_in[22] + vX_[1258] * x_in[21] + vX_[1193] * x_in[19] + vX_[3041] * x_in[18] + vX_[1061] * x_in[20] + vX_[1061] * x_in[20] + vX_[338] * 0.207 + vX_[134] * vX_[102] + vX_[1733] * vX_[820] + vX_[1742] * vX_[88] + vX_[3471] * vX_[101] + vX_[2269] * 0.207 + vX_[3443] * vX_[212] + vX_[2486] * vX_[891] + vX_[3009] * vX_[197] + vX_[2795] * vX_[211] + vX_[2650] * 0.207 + vX_[2915] * vX_[330] + vX_[2534] * vX_[954] + vX_[2751] * vX_[316] + vX_[2720] * vX_[329] + vX_[1355] * 0.207 + vX_[1265] * vX_[450] + vX_[1359] * vX_[696] + vX_[1388] * vX_[435] + vX_[1386] * vX_[449];
+ jac[776] = vX_[1258] * x_in[20] + vX_[1227] * x_in[19] + vX_[338] + vX_[2269] * -1 + vX_[2650] + vX_[1355] * -1;
+ vX_[1223] = 0 - vX_[1223];
+ jac[813] = vX_[1223] * x_in[20] + vX_[1264] * x_in[18] + vX_[179] * vX_[50] + vX_[1499] * vX_[88] + vX_[2649] * vX_[879] + vX_[2857] * vX_[893] + vX_[2234] * vX_[235] + vX_[2471] * vX_[316] + vX_[1394] * vX_[353] + vX_[1490] * vX_[587];
+ vX_[1389] = 0 - vX_[1353] + vX_[1384] - vX_[1389];
+ vX_[1305] = vX_[1251] + vX_[1332] + vX_[1381] + vX_[1305];
+ vX_[1341] = vX_[1023] * vX_[833] + vX_[1000] * vX_[819] + vX_[3199] * vX_[808] + vX_[1341] * vX_[816];
+ vX_[2831] = vX_[396] * vX_[148] + vX_[2339] * vX_[128] + vX_[2094] * vX_[882] + vX_[2831] * vX_[884];
+ vX_[2173] = vX_[2374] * vX_[967] + vX_[2535] * vX_[953] + vX_[364] * vX_[937] + vX_[2173] * vX_[950];
+ vX_[1486] = vX_[1481] * vX_[383] + vX_[1483] * vX_[356] + vX_[1390] * vX_[704] + vX_[1486] * vX_[664];
+ jac[741] = vX_[1223] * x_in[22] + vX_[1389] * x_in[21] + vX_[1326] * x_in[19] + vX_[2766] * x_in[18] + vX_[1305] * x_in[20] + vX_[1305] * x_in[20] + vX_[1341] * 0.207 + vX_[179] * vX_[102] + vX_[1499] * vX_[820] + vX_[2785] * vX_[88] + vX_[644] * vX_[101] + vX_[2831] * 0.207 + vX_[2649] * vX_[212] + vX_[2857] * vX_[891] + vX_[801] * vX_[197] + vX_[1057] * vX_[211] + vX_[2173] * 0.207 + vX_[2234] * vX_[330] + vX_[2471] * vX_[954] + vX_[2364] * vX_[316] + vX_[2348] * vX_[329] + vX_[1486] * 0.207 + vX_[1394] * vX_[450] + vX_[1490] * vX_[696] + vX_[1519] * vX_[435] + vX_[1517] * vX_[449];
+ jac[777] = vX_[1389] * x_in[20] + vX_[1358] * x_in[19] + vX_[1341] + vX_[2831] * -1 + vX_[2173] + vX_[1486] * -1;
+ vX_[1354] = 0 - vX_[1354];
+ jac[814] = vX_[1354] * x_in[20] + vX_[1393] * x_in[18] + vX_[1437] * vX_[50] + vX_[1902] * vX_[88] + vX_[2300] * vX_[879] + vX_[1128] * vX_[893] + vX_[2084] * vX_[235] + vX_[1915] * vX_[316] + vX_[1524] * vX_[353] + vX_[1621] * vX_[587];
+ vX_[1520] = 0 - vX_[1484] + vX_[1515] - vX_[1520];
+ vX_[1038] = vX_[1382] + vX_[1451] + vX_[1512] + vX_[1038];
+ vX_[3420] = vX_[1201] * vX_[833] + vX_[178] * vX_[819] + vX_[1951] * vX_[808] + vX_[3420] * vX_[816];
+ vX_[980] = vX_[1030] * vX_[148] + vX_[1640] * vX_[128] + vX_[723] * vX_[882] + vX_[980] * vX_[884];
+ vX_[1721] = vX_[1941] * vX_[967] + vX_[2492] * vX_[953] + vX_[417] * vX_[937] + vX_[1721] * vX_[950];
+ vX_[1617] = vX_[1612] * vX_[383] + vX_[1614] * vX_[356] + vX_[1243] * vX_[704] + vX_[1617] * vX_[664];
+ jac[742] = vX_[1354] * x_in[22] + vX_[1520] * x_in[21] + vX_[1458] * x_in[19] + vX_[2025] * x_in[18] + vX_[1038] * x_in[20] + vX_[1038] * x_in[20] + vX_[3420] * 0.207 + vX_[1437] * vX_[102] + vX_[1902] * vX_[820] + vX_[1383] * vX_[88] + vX_[1866] * vX_[101] + vX_[980] * 0.207 + vX_[2300] * vX_[212] + vX_[1128] * vX_[891] + vX_[1232] * vX_[197] + vX_[1252] * vX_[211] + vX_[1721] * 0.207 + vX_[2084] * vX_[330] + vX_[1915] * vX_[954] + vX_[1847] * vX_[316] + vX_[2028] * vX_[329] + vX_[1617] * 0.207 + vX_[1524] * vX_[450] + vX_[1621] * vX_[696] + vX_[1650] * vX_[435] + vX_[1648] * vX_[449];
+ jac[778] = vX_[1520] * x_in[20] + vX_[1489] * x_in[19] + vX_[3420] + vX_[980] * -1 + vX_[1721] + vX_[1617] * -1;
+ vX_[1485] = 0 - vX_[1485];
+ jac[815] = vX_[1485] * x_in[20] + vX_[1523] * x_in[18] + vX_[3671] * vX_[50] + vX_[1637] * vX_[88] + vX_[1479] * vX_[879] + vX_[2052] * vX_[893] + vX_[1678] * vX_[235] + vX_[1730] * vX_[316] + vX_[1655] * vX_[353] + vX_[1752] * vX_[587];
+ vX_[1651] = 0 - vX_[1615] + vX_[1646] - vX_[1651];
+ vX_[1495] = vX_[1513] + vX_[1582] + vX_[1643] + vX_[1495];
+ vX_[995] = vX_[1360] * vX_[833] + vX_[137] * vX_[819] + vX_[1077] * vX_[808] + vX_[995] * vX_[816];
+ vX_[2213] = vX_[1858] * vX_[148] + vX_[1765] * vX_[128] + vX_[1209] * vX_[882] + vX_[2213] * vX_[884];
+ vX_[1583] = vX_[1884] * vX_[967] + vX_[2182] * vX_[953] + vX_[372] * vX_[937] + vX_[1583] * vX_[950];
+ vX_[1748] = vX_[1743] * vX_[383] + vX_[1745] * vX_[356] + vX_[1376] * vX_[704] + vX_[1748] * vX_[664];
+ jac[743] = vX_[1485] * x_in[22] + vX_[1651] * x_in[21] + vX_[1589] * x_in[19] + vX_[668] * x_in[18] + vX_[1495] * x_in[20] + vX_[1495] * x_in[20] + vX_[995] * 0.207 + vX_[3671] * vX_[102] + vX_[1637] * vX_[820] + vX_[3113] * vX_[88] + vX_[2212] * vX_[101] + vX_[2213] * 0.207 + vX_[1479] * vX_[212] + vX_[2052] * vX_[891] + vX_[2031] * vX_[197] + vX_[1753] * vX_[211] + vX_[1583] * 0.207 + vX_[1678] * vX_[330] + vX_[1730] * vX_[954] + vX_[1728] * vX_[316] + vX_[1587] * vX_[329] + vX_[1748] * 0.207 + vX_[1655] * vX_[450] + vX_[1752] * vX_[696] + vX_[1781] * vX_[435] + vX_[1779] * vX_[449];
+ jac[779] = vX_[1651] * x_in[20] + vX_[1620] * x_in[19] + vX_[995] + vX_[2213] * -1 + vX_[1583] + vX_[1748] * -1;
+ vX_[1616] = 0 - vX_[1616];
+ jac[816] = vX_[1616] * x_in[20] + vX_[1654] * x_in[18] + vX_[169] * vX_[50] + vX_[688] * vX_[88] + vX_[1560] * vX_[879] + vX_[415] * vX_[893] + vX_[1482] * vX_[235] + vX_[1259] * vX_[316] + vX_[1809] * vX_[353] + vX_[1897] * vX_[587];
+ vX_[1782] = 0 - vX_[1746] + vX_[1777] - vX_[1782];
+ vX_[1374] = vX_[1644] + vX_[1720] + vX_[1774] + vX_[1374];
+ vX_[2680] = vX_[1492] * vX_[833] + vX_[2870] * vX_[819] + vX_[1908] * vX_[808] + vX_[2680] * vX_[816];
+ vX_[3067] = vX_[3111] * vX_[148] + vX_[359] * vX_[128] + vX_[1603] * vX_[882] + vX_[3067] * vX_[884];
+ vX_[1346] = vX_[1363] * vX_[967] + vX_[1880] * vX_[953] + vX_[3110] * vX_[937] + vX_[1346] * vX_[950];
+ vX_[1893] = vX_[1888] * vX_[383] + vX_[1890] * vX_[356] + vX_[1805] * vX_[704] + vX_[1893] * vX_[664];
+ jac[744] = vX_[1616] * x_in[22] + vX_[1782] * x_in[21] + vX_[1708] * x_in[19] + vX_[1759] * x_in[18] + vX_[1374] * x_in[20] + vX_[1374] * x_in[20] + vX_[2680] * 0.207 + vX_[169] * vX_[102] + vX_[688] * vX_[820] + vX_[282] * vX_[88] + vX_[321] * vX_[101] + vX_[3067] * 0.207 + vX_[1560] * vX_[212] + vX_[415] * vX_[891] + vX_[386] * vX_[197] + vX_[3355] * vX_[211] + vX_[1346] * 0.207 + vX_[1482] * vX_[330] + vX_[1259] * vX_[954] + vX_[1467] * vX_[316] + vX_[1304] * vX_[329] + vX_[1893] * 0.207 + vX_[1809] * vX_[450] + vX_[1897] * vX_[696] + vX_[1928] * vX_[435] + vX_[1926] * vX_[449];
+ jac[780] = vX_[1782] * x_in[20] + vX_[1751] * x_in[19] + vX_[2680] + vX_[3067] * -1 + vX_[1346] + vX_[1893] * -1;
+ vX_[1747] = 0 - vX_[1747];
+ jac[817] = vX_[1747] * x_in[20] + vX_[1808] * x_in[18] + vX_[177] * vX_[50] + vX_[3564] * vX_[88] + vX_[2383] * vX_[879] + vX_[3185] * vX_[893] + vX_[780] * vX_[235] + vX_[1079] * vX_[316] + vX_[1961] * vX_[353] + vX_[2047] * vX_[587];
+ vX_[1929] = 0 - vX_[1891] + vX_[1924] - vX_[1929];
+ vX_[1796] = vX_[1775] + vX_[1828] + vX_[1921] + vX_[1796];
+ vX_[1475] = vX_[1623] * vX_[833] + vX_[2765] * vX_[819] + vX_[1706] * vX_[808] + vX_[1475] * vX_[816];
+ vX_[3360] = vX_[433] * vX_[148] + vX_[3120] * vX_[128] + vX_[3097] * vX_[882] + vX_[3360] * vX_[884];
+ vX_[580] = vX_[1200] * vX_[967] + vX_[1340] * vX_[953] + vX_[2796] * vX_[937] + vX_[580] * vX_[950];
+ vX_[2043] = vX_[2038] * vX_[383] + vX_[2040] * vX_[356] + vX_[1957] * vX_[704] + vX_[2043] * vX_[664];
+ jac[745] = vX_[1747] * x_in[22] + vX_[1929] * x_in[21] + vX_[1680] * x_in[19] + vX_[788] * x_in[18] + vX_[1796] * x_in[20] + vX_[1796] * x_in[20] + vX_[1475] * 0.207 + vX_[177] * vX_[102] + vX_[3564] * vX_[820] + vX_[2449] * vX_[88] + vX_[1454] * vX_[101] + vX_[3360] * 0.207 + vX_[2383] * vX_[212] + vX_[3185] * vX_[891] + vX_[976] * vX_[197] + vX_[1006] * vX_[211] + vX_[580] * 0.207 + vX_[780] * vX_[330] + vX_[1079] * vX_[954] + vX_[1073] * vX_[316] + vX_[1084] * vX_[329] + vX_[2043] * 0.207 + vX_[1961] * vX_[450] + vX_[2047] * vX_[696] + vX_[2076] * vX_[435] + vX_[2074] * vX_[449];
+ jac[781] = vX_[1929] * x_in[20] + vX_[1896] * x_in[19] + vX_[1475] + vX_[3360] * -1 + vX_[580] + vX_[2043] * -1;
+ vX_[1892] = 0 - vX_[1892];
+ jac[818] = vX_[1892] * x_in[20] + vX_[1960] * x_in[18] + vX_[687] * vX_[50] + vX_[1323] * vX_[88] + vX_[390] * vX_[879] + vX_[3624] * vX_[893] + vX_[568] * vX_[235] + vX_[411] * vX_[316] + vX_[2109] * vX_[353] + vX_[2195] * vX_[587];
+ vX_[2077] = 0 - vX_[2041] + vX_[2072] - vX_[2077];
+ vX_[1948] = vX_[1922] + vX_[1979] + vX_[2069] + vX_[1948];
+ vX_[2303] = vX_[1691] * vX_[833] + vX_[2460] * vX_[819] + vX_[362] * vX_[808] + vX_[2303] * vX_[816];
+ vX_[3625] = vX_[325] * vX_[148] + vX_[287] * vX_[128] + vX_[3351] * vX_[882] + vX_[3625] * vX_[884];
+ vX_[3348] = vX_[439] * vX_[967] + vX_[1165] * vX_[953] + vX_[2467] * vX_[937] + vX_[3348] * vX_[950];
+ vX_[2191] = vX_[2186] * vX_[383] + vX_[2188] * vX_[356] + vX_[2105] * vX_[704] + vX_[2191] * vX_[664];
+ jac[746] = vX_[1892] * x_in[22] + vX_[2077] * x_in[21] + vX_[1895] * x_in[19] + vX_[1071] * x_in[18] + vX_[1948] * x_in[20] + vX_[1948] * x_in[20] + vX_[2303] * 0.207 + vX_[687] * vX_[102] + vX_[1323] * vX_[820] + vX_[2054] * vX_[88] + vX_[1278] * vX_[101] + vX_[3625] * 0.207 + vX_[390] * vX_[212] + vX_[3624] * vX_[891] + vX_[581] * vX_[197] + vX_[3542] * vX_[211] + vX_[3348] * 0.207 + vX_[568] * vX_[330] + vX_[411] * vX_[954] + vX_[398] * vX_[316] + vX_[400] * vX_[329] + vX_[2191] * 0.207 + vX_[2109] * vX_[450] + vX_[2195] * vX_[696] + vX_[2224] * vX_[435] + vX_[2222] * vX_[449];
+ jac[782] = vX_[2077] * x_in[20] + vX_[2046] * x_in[19] + vX_[2303] + vX_[3625] * -1 + vX_[3348] + vX_[2191] * -1;
+ vX_[2042] = 0 - vX_[2042];
+ jac[819] = vX_[2042] * x_in[20] + vX_[2108] * x_in[18] + vX_[1159] * vX_[50] + vX_[1114] * vX_[88] + vX_[313] * vX_[879] + vX_[1107] * vX_[893] + vX_[3115] * vX_[235] + vX_[3201] * vX_[316] + vX_[2247] * vX_[353] + vX_[2333] * vX_[587];
+ vX_[2225] = 0 - vX_[2189] + vX_[2220] - vX_[2225];
+ vX_[2187] = vX_[2070] + vX_[2164] + vX_[2217] + vX_[2187];
+ vX_[963] = vX_[1878] * vX_[833] + vX_[3476] * vX_[819] + vX_[3333] * vX_[808] + vX_[963] * vX_[816];
+ vX_[1152] = vX_[1032] * vX_[148] + vX_[3455] * vX_[128] + vX_[347] * vX_[882] + vX_[1152] * vX_[884];
+ vX_[2841] = vX_[3196] * vX_[967] + vX_[441] * vX_[953] + vX_[2208] * vX_[937] + vX_[2841] * vX_[950];
+ vX_[2329] = vX_[2324] * vX_[383] + vX_[2326] * vX_[356] + vX_[2243] * vX_[704] + vX_[2329] * vX_[664];
+ jac[747] = vX_[2042] * x_in[22] + vX_[2225] * x_in[21] + vX_[2146] * x_in[19] + vX_[471] * x_in[18] + vX_[2187] * x_in[20] + vX_[2187] * x_in[20] + vX_[963] * 0.207 + vX_[1159] * vX_[102] + vX_[1114] * vX_[820] + vX_[1214] * vX_[88] + vX_[974] * vX_[101] + vX_[1152] * 0.207 + vX_[313] * vX_[212] + vX_[1107] * vX_[891] + vX_[1887] * vX_[197] + vX_[1263] * vX_[211] + vX_[2841] * 0.207 + vX_[3115] * vX_[330] + vX_[3201] * vX_[954] + vX_[2983] * vX_[316] + vX_[3064] * vX_[329] + vX_[2329] * 0.207 + vX_[2247] * vX_[450] + vX_[2333] * vX_[696] + vX_[2362] * vX_[435] + vX_[2360] * vX_[449];
+ jac[783] = vX_[2225] * x_in[20] + vX_[2194] * x_in[19] + vX_[963] + vX_[1152] * -1 + vX_[2841] + vX_[2329] * -1;
+ vX_[2190] = 0 - vX_[2190];
+ jac[820] = vX_[2190] * x_in[20] + vX_[2246] * x_in[18] + vX_[1290] * vX_[50] + vX_[453] * vX_[88] + vX_[3446] * vX_[879] + vX_[2183] * vX_[893] + vX_[1784] * vX_[235] + vX_[2791] * vX_[316] + vX_[2399] * vX_[353] + vX_[2485] * vX_[587];
+ vX_[2363] = 0 - vX_[2327] + vX_[2358] - vX_[2363];
+ vX_[2230] = vX_[2218] + vX_[2265] + vX_[2355] + vX_[2230];
+ vX_[2061] = vX_[2006] * vX_[833] + vX_[3518] * vX_[819] + vX_[1335] * vX_[808] + vX_[2061] * vX_[816];
+ vX_[3019] = vX_[2421] * vX_[148] + vX_[2166] * vX_[128] + vX_[1470] * vX_[882] + vX_[3019] * vX_[884];
+ vX_[2576] = vX_[2885] * vX_[967] + vX_[3329] * vX_[953] + vX_[3352] * vX_[937] + vX_[2576] * vX_[950];
+ vX_[2481] = vX_[2476] * vX_[383] + vX_[2478] * vX_[356] + vX_[2395] * vX_[704] + vX_[2481] * vX_[664];
+ jac[748] = vX_[2190] * x_in[22] + vX_[2363] * x_in[21] + vX_[2128] * x_in[19] + vX_[3177] * x_in[18] + vX_[2230] * x_in[20] + vX_[2230] * x_in[20] + vX_[2061] * 0.207 + vX_[1290] * vX_[102] + vX_[453] * vX_[820] + vX_[2026] * vX_[88] + vX_[1836] * vX_[101] + vX_[3019] * 0.207 + vX_[3446] * vX_[212] + vX_[2183] * vX_[891] + vX_[436] * vX_[197] + vX_[2973] * vX_[211] + vX_[2576] * 0.207 + vX_[1784] * vX_[330] + vX_[2791] * vX_[954] + vX_[2719] * vX_[316] + vX_[2759] * vX_[329] + vX_[2481] * 0.207 + vX_[2399] * vX_[450] + vX_[2485] * vX_[696] + vX_[2514] * vX_[435] + vX_[2512] * vX_[449];
+ jac[784] = vX_[2363] * x_in[20] + vX_[2332] * x_in[19] + vX_[2061] + vX_[3019] * -1 + vX_[2576] + vX_[2481] * -1;
+ vX_[2328] = 0 - vX_[2328];
+ jac[821] = vX_[2328] * x_in[20] + vX_[2398] * x_in[18] + vX_[1421] * vX_[50] + vX_[1392] * vX_[88] + vX_[2145] * vX_[879] + vX_[430] * vX_[893] + vX_[3233] * vX_[235] + vX_[2341] * vX_[316] + vX_[2551] * vX_[353] + vX_[2637] * vX_[587];
+ vX_[2515] = 0 - vX_[2479] + vX_[2510] - vX_[2515];
+ vX_[2382] = vX_[2356] + vX_[2417] + vX_[2507] + vX_[2382];
+ vX_[965] = vX_[2138] * vX_[833] + vX_[1009] * vX_[819] + vX_[575] * vX_[808] + vX_[965] * vX_[816];
+ vX_[2945] = vX_[3160] * vX_[148] + vX_[2932] * vX_[128] + vX_[2654] * vX_[882] + vX_[2945] * vX_[884];
+ vX_[2066] = vX_[2239] * vX_[967] + vX_[2799] * vX_[953] + vX_[2676] * vX_[937] + vX_[2066] * vX_[950];
+ vX_[2633] = vX_[2628] * vX_[383] + vX_[2630] * vX_[356] + vX_[2547] * vX_[704] + vX_[2633] * vX_[664];
+ jac[749] = vX_[2328] * x_in[22] + vX_[2515] * x_in[21] + vX_[2354] * x_in[19] + vX_[2635] * x_in[18] + vX_[2382] * x_in[20] + vX_[2382] * x_in[20] + vX_[965] * 0.207 + vX_[1421] * vX_[102] + vX_[1392] * vX_[820] + vX_[3516] * vX_[88] + vX_[252] * vX_[101] + vX_[2945] * 0.207 + vX_[2145] * vX_[212] + vX_[430] * vX_[891] + vX_[1508] * vX_[197] + vX_[1476] * vX_[211] + vX_[2066] * 0.207 + vX_[3233] * vX_[330] + vX_[2341] * vX_[954] + vX_[2336] * vX_[316] + vX_[2345] * vX_[329] + vX_[2633] * 0.207 + vX_[2551] * vX_[450] + vX_[2637] * vX_[696] + vX_[2666] * vX_[435] + vX_[2664] * vX_[449];
+ jac[785] = vX_[2515] * x_in[20] + vX_[2484] * x_in[19] + vX_[965] + vX_[2945] * -1 + vX_[2066] + vX_[2633] * -1;
+ vX_[2480] = 0 - vX_[2480];
+ jac[822] = vX_[2480] * x_in[20] + vX_[2550] * x_in[18] + vX_[1552] * vX_[50] + vX_[3623] * vX_[88] + vX_[3261] * vX_[879] + vX_[1347] * vX_[893] + vX_[2787] * vX_[235] + vX_[1987] * vX_[316] + vX_[2693] * vX_[353] + vX_[2779] * vX_[587];
+ vX_[2667] = 0 - vX_[2631] + vX_[2662] - vX_[2667];
+ vX_[2543] = vX_[2508] + vX_[2606] + vX_[2659] + vX_[2543];
+ vX_[185] = vX_[2357] * vX_[833] + vX_[461] * vX_[819] + vX_[686] * vX_[808] + vX_[185] * vX_[816];
+ vX_[794] = vX_[1174] * vX_[148] + vX_[1196] * vX_[128] + vX_[2141] * vX_[882] + vX_[794] * vX_[884];
+ vX_[1507] = vX_[1988] * vX_[967] + vX_[2414] * vX_[953] + vX_[2425] * vX_[937] + vX_[1507] * vX_[950];
+ vX_[2775] = vX_[2770] * vX_[383] + vX_[2772] * vX_[356] + vX_[2689] * vX_[704] + vX_[2775] * vX_[664];
+ jac[750] = vX_[2480] * x_in[22] + vX_[2667] * x_in[21] + vX_[2588] * x_in[19] + vX_[2262] * x_in[18] + vX_[2543] * x_in[20] + vX_[2543] * x_in[20] + vX_[185] * 0.207 + vX_[1552] * vX_[102] + vX_[3623] * vX_[820] + vX_[3736] * vX_[88] + vX_[3764] * vX_[101] + vX_[794] * 0.207 + vX_[3261] * vX_[212] + vX_[1347] * vX_[891] + vX_[2088] * vX_[197] + vX_[2087] * vX_[211] + vX_[1507] * 0.207 + vX_[2787] * vX_[330] + vX_[1987] * vX_[954] + vX_[1889] * vX_[316] + vX_[1794] * vX_[329] + vX_[2775] * 0.207 + vX_[2693] * vX_[450] + vX_[2779] * vX_[696] + vX_[2808] * vX_[435] + vX_[2806] * vX_[449];
+ jac[786] = vX_[2667] * x_in[20] + vX_[2636] * x_in[19] + vX_[185] + vX_[794] * -1 + vX_[1507] + vX_[2775] * -1;
+ vX_[2632] = 0 - vX_[2632];
+ jac[823] = vX_[2632] * x_in[20] + vX_[2692] * x_in[18] + vX_[1683] * vX_[50] + vX_[154] * vX_[88] + vX_[1076] * vX_[879] + vX_[2177] * vX_[893] + vX_[1732] * vX_[235] + vX_[1595] * vX_[316] + vX_[2843] * vX_[353] + vX_[2929] * vX_[587];
+ vX_[2809] = 0 - vX_[2773] + vX_[2804] - vX_[2809];
+ vX_[2678] = vX_[2660] + vX_[2728] + vX_[2801] + vX_[2678];
+ vX_[2372] = vX_[2509] * vX_[833] + vX_[1210] * vX_[819] + vX_[3769] * vX_[808] + vX_[2372] * vX_[816];
+ vX_[2097] = vX_[2648] * vX_[148] + vX_[2101] * vX_[128] + vX_[2504] * vX_[882] + vX_[2097] * vX_[884];
+ vX_[1500] = vX_[1686] * vX_[967] + vX_[2022] * vX_[953] + vX_[2236] * vX_[937] + vX_[1500] * vX_[950];
+ vX_[2925] = vX_[2920] * vX_[383] + vX_[2922] * vX_[356] + vX_[2839] * vX_[704] + vX_[2925] * vX_[664];
+ jac[751] = vX_[2632] * x_in[22] + vX_[2809] * x_in[21] + vX_[2742] * x_in[19] + vX_[1869] * x_in[18] + vX_[2678] * x_in[20] + vX_[2678] * x_in[20] + vX_[2372] * 0.207 + vX_[1683] * vX_[102] + vX_[154] * vX_[820] + vX_[975] * vX_[88] + vX_[3569] * vX_[101] + vX_[2097] * 0.207 + vX_[1076] * vX_[212] + vX_[2177] * vX_[891] + vX_[2385] * vX_[197] + vX_[2619] * vX_[211] + vX_[1500] * 0.207 + vX_[1732] * vX_[330] + vX_[1595] * vX_[954] + vX_[1635] * vX_[316] + vX_[1624] * vX_[329] + vX_[2925] * 0.207 + vX_[2843] * vX_[450] + vX_[2929] * vX_[696] + vX_[2958] * vX_[435] + vX_[2956] * vX_[449];
+ jac[787] = vX_[2809] * x_in[20] + vX_[2778] * x_in[19] + vX_[2372] + vX_[2097] * -1 + vX_[1500] + vX_[2925] * -1;
+ vX_[2774] = 0 - vX_[2774];
+ jac[824] = vX_[2774] * x_in[20] + vX_[2842] * x_in[18] + vX_[1667] * vX_[50] + vX_[349] * vX_[88] + vX_[2320] * vX_[879] + vX_[3071] * vX_[893] + vX_[1373] * vX_[235] + vX_[1085] * vX_[316] + vX_[2993] * vX_[353] + vX_[3079] * vX_[587];
+ vX_[2959] = 0 - vX_[2923] + vX_[2954] - vX_[2959];
+ vX_[2828] = vX_[2802] + vX_[2878] + vX_[2951] + vX_[2828];
+ vX_[2816] = vX_[2580] * vX_[833] + vX_[2352] * vX_[819] + vX_[160] * vX_[808] + vX_[2816] * vX_[816];
+ vX_[3467] = vX_[3377] * vX_[148] + vX_[3266] * vX_[128] + vX_[2752] * vX_[882] + vX_[3467] * vX_[884];
+ vX_[750] = vX_[1369] * vX_[967] + vX_[1547] * vX_[953] + vX_[2227] * vX_[937] + vX_[750] * vX_[950];
+ vX_[3075] = vX_[3070] * vX_[383] + vX_[3072] * vX_[356] + vX_[2989] * vX_[704] + vX_[3075] * vX_[664];
+ jac[752] = vX_[2774] * x_in[22] + vX_[2959] * x_in[21] + vX_[2892] * x_in[19] + vX_[1511] * x_in[18] + vX_[2828] * x_in[20] + vX_[2828] * x_in[20] + vX_[2816] * 0.207 + vX_[1667] * vX_[102] + vX_[349] * vX_[820] + vX_[3574] * vX_[88] + vX_[1676] * vX_[101] + vX_[3467] * 0.207 + vX_[2320] * vX_[212] + vX_[3071] * vX_[891] + vX_[3596] * vX_[197] + vX_[3603] * vX_[211] + vX_[750] * 0.207 + vX_[1373] * vX_[330] + vX_[1085] * vX_[954] + vX_[1153] * vX_[316] + vX_[1034] * vX_[329] + vX_[3075] * 0.207 + vX_[2993] * vX_[450] + vX_[3079] * vX_[696] + vX_[3108] * vX_[435] + vX_[3106] * vX_[449];
+ jac[788] = vX_[2959] * x_in[20] + vX_[2928] * x_in[19] + vX_[2816] + vX_[3467] * -1 + vX_[750] + vX_[3075] * -1;
+ vX_[2924] = 0 - vX_[2924];
+ jac[825] = vX_[2924] * x_in[20] + vX_[2992] * x_in[18] + vX_[1700] * vX_[50] + vX_[705] * vX_[88] + vX_[2783] * vX_[879] + vX_[510] * vX_[893] + vX_[3397] * vX_[235] + vX_[747] * vX_[316] + vX_[3135] * vX_[353] + vX_[3221] * vX_[587];
+ vX_[3109] = 0 - vX_[3073] + vX_[3104] - vX_[3109];
+ vX_[2985] = vX_[2952] + vX_[3048] + vX_[3101] + vX_[2985];
+ vX_[2641] = vX_[2687] * vX_[833] + vX_[655] * vX_[819] + vX_[3581] * vX_[808] + vX_[2641] * vX_[816];
+ vX_[559] = vX_[565] * vX_[148] + vX_[563] * vX_[128] + vX_[2850] * vX_[882] + vX_[559] * vX_[884];
+ vX_[446] = vX_[519] * vX_[967] + vX_[1155] * vX_[953] + vX_[2293] * vX_[937] + vX_[446] * vX_[950];
+ vX_[3217] = vX_[3212] * vX_[383] + vX_[3214] * vX_[356] + vX_[3131] * vX_[704] + vX_[3217] * vX_[664];
+ jac[753] = vX_[2924] * x_in[22] + vX_[3109] * x_in[21] + vX_[3030] * x_in[19] + vX_[1119] * x_in[18] + vX_[2985] * x_in[20] + vX_[2985] * x_in[20] + vX_[2641] * 0.207 + vX_[1700] * vX_[102] + vX_[705] * vX_[820] + vX_[2880] * vX_[88] + vX_[3055] * vX_[101] + vX_[559] * 0.207 + vX_[2783] * vX_[212] + vX_[510] * vX_[891] + vX_[1002] * vX_[197] + vX_[3584] * vX_[211] + vX_[446] * 0.207 + vX_[3397] * vX_[330] + vX_[747] * vX_[954] + vX_[657] * vX_[316] + vX_[678] * vX_[329] + vX_[3217] * 0.207 + vX_[3135] * vX_[450] + vX_[3221] * vX_[696] + vX_[3250] * vX_[435] + vX_[3248] * vX_[449];
+ jac[789] = vX_[3109] * x_in[20] + vX_[3078] * x_in[19] + vX_[2641] + vX_[559] * -1 + vX_[446] + vX_[3217] * -1;
+ vX_[3074] = 0 - vX_[3074];
+ jac[826] = vX_[3074] * x_in[20] + vX_[3134] * x_in[18] + vX_[2946] * vX_[50] + vX_[2715] * vX_[88] + vX_[562] * vX_[879] + vX_[3670] * vX_[893] + vX_[3499] * vX_[235] + vX_[3418] * vX_[316] + vX_[3287] * vX_[353] + vX_[3373] * vX_[587];
+ vX_[3251] = 0 - vX_[3215] + vX_[3246] - vX_[3251];
+ vX_[3118] = vX_[3102] + vX_[3153] + vX_[3243] + vX_[3118];
+ vX_[2677] = vX_[2713] * vX_[833] + vX_[2832] * vX_[819] + vX_[2144] * vX_[808] + vX_[2677] * vX_[816];
+ vX_[3666] = vX_[3661] * vX_[148] + vX_[3663] * vX_[128] + vX_[592] * vX_[882] + vX_[3666] * vX_[884];
+ vX_[3547] = vX_[706] * vX_[967] + vX_[674] * vX_[953] + vX_[2373] * vX_[937] + vX_[3547] * vX_[950];
+ vX_[3369] = vX_[3364] * vX_[383] + vX_[3366] * vX_[356] + vX_[3283] * vX_[704] + vX_[3369] * vX_[664];
+ jac[754] = vX_[3074] * x_in[22] + vX_[3251] * x_in[21] + vX_[3012] * x_in[19] + vX_[620] * x_in[18] + vX_[3118] * x_in[20] + vX_[3118] * x_in[20] + vX_[2677] * 0.207 + vX_[2946] * vX_[102] + vX_[2715] * vX_[820] + vX_[2730] * vX_[88] + vX_[2780] * vX_[101] + vX_[3666] * 0.207 + vX_[562] * vX_[212] + vX_[3670] * vX_[891] + vX_[3704] * vX_[197] + vX_[3702] * vX_[211] + vX_[3547] * 0.207 + vX_[3499] * vX_[330] + vX_[3418] * vX_[954] + vX_[3506] * vX_[316] + vX_[234] * vX_[329] + vX_[3369] * 0.207 + vX_[3287] * vX_[450] + vX_[3373] * vX_[696] + vX_[3402] * vX_[435] + vX_[3400] * vX_[449];
+ jac[790] = vX_[3251] * x_in[20] + vX_[3220] * x_in[19] + vX_[2677] + vX_[3666] * -1 + vX_[3547] + vX_[3369] * -1;
+ vX_[3216] = 0 - vX_[3216];
+ jac[827] = vX_[3216] * x_in[20] + vX_[3286] * x_in[18] + vX_[2919] * vX_[50] + vX_[843] * vX_[88] + vX_[3662] * vX_[879] + vX_[3756] * vX_[893] + vX_[3566] * vX_[235] + vX_[977] * vX_[316] + vX_[3438] * vX_[353] + vX_[3483] * vX_[587];
+ vX_[3403] = 0 - vX_[3367] + vX_[3398] - vX_[3403];
+ vX_[3358] = vX_[3244] + vX_[3305] + vX_[3395] + vX_[3358];
+ vX_[478] = vX_[2999] * vX_[833] + vX_[3157] * vX_[819] + vX_[3779] * vX_[808] + vX_[478] * vX_[816];
+ vX_[3752] = vX_[3748] * vX_[148] + vX_[911] * vX_[128] + vX_[3659] * vX_[882] + vX_[3752] * vX_[884];
+ vX_[504] = vX_[3577] * vX_[967] + vX_[3427] * vX_[953] + vX_[2151] * vX_[937] + vX_[504] * vX_[950];
+ vX_[3479] = vX_[3475] * vX_[383] + vX_[618] * vX_[356] + vX_[3434] * vX_[704] + vX_[3479] * vX_[664];
+ jac[755] = vX_[3216] * x_in[22] + vX_[3403] * x_in[21] + vX_[3242] * x_in[19] + vX_[3513] * x_in[18] + vX_[3358] * x_in[20] + vX_[3358] * x_in[20] + vX_[478] * 0.207 + vX_[2919] * vX_[102] + vX_[843] * vX_[820] + vX_[2812] * vX_[88] + vX_[3062] * vX_[101] + vX_[3752] * 0.207 + vX_[3662] * vX_[212] + vX_[3756] * vX_[891] + vX_[3789] * vX_[197] + vX_[3787] * vX_[211] + vX_[504] * 0.207 + vX_[3566] * vX_[330] + vX_[977] * vX_[954] + vX_[3593] * vX_[316] + vX_[3591] * vX_[329] + vX_[3479] * 0.207 + vX_[3438] * vX_[450] + vX_[3483] * vX_[696] + vX_[3505] * vX_[435] + vX_[3503] * vX_[449];
+ jac[791] = vX_[3403] * x_in[20] + vX_[3372] * x_in[19] + vX_[478] + vX_[3752] * -1 + vX_[504] + vX_[3479] * -1;
+ vX_[11] = vX_[12] * vX_[11];
+ vX_[3479] = vX_[16] * vX_[15];
+ jac[759] = 1 - vX_[11] - vX_[3479];
+ vX_[504] = vX_[16] * vX_[19];
+ vX_[3752] = vX_[12] * vX_[20];
+ jac[760] = vX_[504] + vX_[3752];
+ jac[795] = vX_[504] - vX_[3752];
+ vX_[3752] = vX_[12] * vX_[19];
+ vX_[16] = vX_[16] * vX_[20];
+ jac[761] = vX_[3752] - vX_[16];
+ jac[831] = vX_[3752] + vX_[16];
+ vX_[19] = vX_[31] * vX_[19];
+ jac[796] = 1 - vX_[11] - vX_[19];
+ jac[833] = 1 - vX_[3479] - vX_[19];
+ vX_[15] = vX_[12] * vX_[15];
+ vX_[31] = vX_[31] * vX_[20];
+ jac[797] = vX_[15] + vX_[31];
+ jac[832] = vX_[15] - vX_[31];
+ // dependent variables without operations
+ jac[722] = 1;
+ jac[870] = 1;
+ jac[907] = 1;
+ jac[944] = 1;
+ jac[981] = 1;
+ jac[1018] = 1;
+ jac[1055] = 1;
+ jac[1092] = 1;
+ jac[1129] = 1;
+ jac[1166] = 1;
+ jac[1203] = 1;
+ jac[1240] = 1;
+ jac[1277] = 1;
+
+
+ return dFdx_;
+}
+
+const HyQBareModelLinearizedReverse::state_control_matrix_t& HyQBareModelLinearizedReverse::getDerivativeControl(
+ const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdu_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = cos(x_in[12]);
+ vU_[1] = -0.207 * vU_[0];
+ vU_[2] = -1 * vU_[1];
+ vU_[3] = sin(x_in[13]);
+ vU_[4] = sin(x_in[14]);
+ vU_[5] = cos(x_in[14]);
+ vU_[6] = -0.00370574557885489 * vU_[4] + -0.463218197356862 * vU_[5];
+ vU_[7] = 0 - vU_[4];
+ vU_[8] = -2.96459646308422e-05 * vU_[4] + -0.00370574557885489 * vU_[5];
+ vU_[9] = 0.35 * vU_[4];
+ vU_[10] = -0.35 * vU_[5];
+ vU_[11] = -0.00370574557885489 * vU_[9] - 0.417781802643138 * vU_[10];
+ vU_[12] = 0.881 * vU_[10];
+ vU_[13] = -0.110125 + vU_[12];
+ vU_[14] = vU_[11] + vU_[13];
+ vU_[15] = 0.880970354035369 * vU_[9] - -0.00370574557885489 * vU_[10];
+ vU_[16] = 0 - 0.881 * vU_[9];
+ vU_[17] = -0.000881 + vU_[16];
+ vU_[18] = vU_[15] + vU_[17];
+ vU_[13] = 0 - vU_[13];
+ vU_[19] = vU_[4] * vU_[13] + vU_[5] * vU_[17];
+ vU_[20] = -0.0825825 + vU_[14] * vU_[7] + vU_[18] * vU_[5] - vU_[19];
+ vU_[13] = vU_[5] * vU_[13] + vU_[7] * vU_[17];
+ vU_[18] = 0.47422804 + vU_[14] * vU_[5] + vU_[18] * vU_[4] + vU_[13];
+ vU_[15] = vU_[15] * vU_[9] - vU_[11] * vU_[10];
+ vU_[11] = 0.089871 + vU_[15];
+ vU_[14] = vU_[18] / vU_[11];
+ vU_[17] = vU_[6] * vU_[7] + vU_[8] * vU_[5] - vU_[20] * vU_[14];
+ vU_[21] = cos(x_in[13]);
+ vU_[8] = vU_[8] * vU_[4] + vU_[6] * vU_[5];
+ vU_[6] = 4.027 + vU_[8] - vU_[18] * vU_[14];
+ vU_[22] = vU_[6] - 4.027;
+ vU_[23] = vU_[3] * vU_[17] + vU_[21] * vU_[22];
+ vU_[24] = 0 - vU_[3];
+ vU_[25] = vU_[20] / vU_[11];
+ vU_[8] = 3.56375215667851 - vU_[8] - vU_[20] * vU_[25];
+ vU_[26] = vU_[8] - 4.027;
+ vU_[27] = vU_[3] * vU_[26] + vU_[21] * vU_[17];
+ vU_[28] = 0 - -0.000102 * vU_[25];
+ vU_[25] = 0 - 2.1e-05 * vU_[25];
+ vU_[29] = vU_[3] * vU_[28] + vU_[21] * vU_[25];
+ vU_[30] = 0 - -0.000102 * vU_[14];
+ vU_[14] = 0 - 2.1e-05 * vU_[14];
+ vU_[31] = vU_[3] * vU_[30] + vU_[21] * vU_[14];
+ vU_[32] = vU_[29] * vU_[21] + vU_[31] * vU_[24];
+ vU_[31] = vU_[29] * vU_[3] + vU_[31] * vU_[21];
+ vU_[29] = -0.08 * vU_[3];
+ vU_[33] = -1 * vU_[29];
+ vU_[34] = -0.08 * vU_[21];
+ vU_[8] = vU_[33] * vU_[8] - vU_[34] * vU_[17];
+ vU_[6] = vU_[33] * vU_[17] - vU_[34] * vU_[6];
+ vU_[17] = vU_[8] * vU_[33] - vU_[6] * vU_[34];
+ vU_[12] = 0.026409 + -0.22025 * vU_[10] + vU_[12] * vU_[10] - vU_[15];
+ vU_[35] = 0.000468 - -0.001762 * vU_[9] - vU_[16] * vU_[9] - vU_[15];
+ vU_[16] = -0.000881 * vU_[10] + vU_[16] * vU_[10] - -0.110125 * vU_[9];
+ vU_[10] = vU_[4] * vU_[35] + vU_[5] * vU_[16];
+ vU_[16] = vU_[4] * vU_[16] + vU_[5] * vU_[12];
+ vU_[36] = vU_[10] * vU_[4] + vU_[16] * vU_[5];
+ vU_[19] = 0.0825825 + vU_[19];
+ vU_[37] = 0 - 4.027 * vU_[33];
+ vU_[35] = 0.005495 + vU_[12] + vU_[35] + vU_[15] - vU_[36] - -0.000102 * -0.000102 / vU_[11] - 2. * vU_[19] * vU_[33] - vU_[37] * vU_[33] - vU_[17];
+ vU_[12] = 2.1e-05 / vU_[11];
+ vU_[13] = -0.47422804 - vU_[13];
+ vU_[16] = -0.007418 + vU_[16] * vU_[7] + vU_[10] * vU_[5] - -0.000102 * vU_[12] + vU_[19] * vU_[34] + vU_[37] * vU_[34] - vU_[13] * vU_[33];
+ vU_[10] = vU_[3] * vU_[35] + vU_[21] * vU_[16];
+ vU_[7] = 4.027 * vU_[34];
+ vU_[12] = 2. * vU_[13] * vU_[34] + 0.087136 + vU_[15] + vU_[36] - 2.1e-05 * vU_[12] + vU_[7] * vU_[34] - vU_[17];
+ vU_[16] = vU_[3] * vU_[16] + vU_[21] * vU_[12];
+ vU_[36] = vU_[10] * vU_[3] + vU_[16] * vU_[21];
+ vU_[15] = 0.011033 + vU_[17] + vU_[36];
+ vU_[38] = vU_[31] / vU_[15];
+ vU_[39] = vU_[23] * vU_[24] + vU_[27] * vU_[21] - vU_[32] * vU_[38];
+ vU_[40] = vU_[2] * vU_[39];
+ vU_[41] = sin(x_in[12]);
+ vU_[42] = 0.207 * vU_[41];
+ vU_[7] = vU_[7] + vU_[13];
+ vU_[13] = 0 - vU_[7];
+ vU_[37] = vU_[37] + vU_[19];
+ vU_[19] = vU_[21] * vU_[13] + vU_[24] * vU_[37];
+ vU_[43] = 0.1466472 + vU_[19];
+ vU_[44] = 0 - vU_[43] * vU_[38];
+ vU_[45] = vU_[42] * vU_[44];
+ vU_[46] = vU_[40] - vU_[45];
+ vU_[47] = cos(x_in[15]);
+ vU_[48] = 0.207 * vU_[47];
+ vU_[49] = sin(x_in[16]);
+ vU_[50] = 0 - vU_[49];
+ vU_[51] = sin(x_in[17]);
+ vU_[52] = cos(x_in[17]);
+ vU_[53] = -0.00185880198235362 * vU_[51] + -0.466187537174287 * vU_[52];
+ vU_[54] = 0 - vU_[51];
+ vU_[55] = -7.4114911576828e-06 * vU_[51] + -0.00185880198235362 * vU_[52];
+ vU_[56] = 0.35 * vU_[51];
+ vU_[57] = -0.35 * vU_[52];
+ vU_[58] = -0.00185880198235362 * vU_[56] - 0.414812462825713 * vU_[57];
+ vU_[59] = 0.881 * vU_[57];
+ vU_[60] = -0.1104774 + vU_[59];
+ vU_[61] = vU_[58] + vU_[60];
+ vU_[62] = 0.880992588508842 * vU_[56] - -0.00185880198235362 * vU_[57];
+ vU_[63] = 0 - 0.881 * vU_[56];
+ vU_[64] = -0.0004405 + vU_[63];
+ vU_[65] = vU_[62] + vU_[64];
+ vU_[60] = 0 - vU_[60];
+ vU_[66] = vU_[51] * vU_[60] + vU_[52] * vU_[64];
+ vU_[67] = -0.0825825 + vU_[61] * vU_[54] + vU_[65] * vU_[52] - vU_[66];
+ vU_[60] = vU_[52] * vU_[60] + vU_[54] * vU_[64];
+ vU_[65] = 0.47422804 + vU_[61] * vU_[52] + vU_[65] * vU_[51] + vU_[60];
+ vU_[62] = vU_[62] * vU_[56] - vU_[58] * vU_[57];
+ vU_[58] = 0.089871 + vU_[62];
+ vU_[61] = vU_[65] / vU_[58];
+ vU_[64] = vU_[53] * vU_[54] + vU_[55] * vU_[52] - vU_[67] * vU_[61];
+ vU_[68] = cos(x_in[16]);
+ vU_[69] = 0 - vU_[68];
+ vU_[55] = vU_[55] * vU_[51] + vU_[53] * vU_[52];
+ vU_[53] = 4.027 + vU_[55] - vU_[65] * vU_[61];
+ vU_[70] = vU_[53] - 4.027;
+ vU_[71] = vU_[50] * vU_[64] + vU_[69] * vU_[70];
+ vU_[72] = vU_[67] / vU_[58];
+ vU_[55] = 3.56080505133456 - vU_[55] - vU_[67] * vU_[72];
+ vU_[73] = vU_[55] - 4.027;
+ vU_[74] = vU_[50] * vU_[73] + vU_[69] * vU_[64];
+ vU_[75] = -8.81e-05 * vU_[52];
+ vU_[76] = 8.81e-05 * vU_[54];
+ vU_[77] = 8.81e-05 * vU_[56];
+ vU_[78] = 2. * vU_[77];
+ vU_[79] = 0 - -8.81e-05 * vU_[57];
+ vU_[80] = 2. * vU_[79];
+ vU_[77] = 0 - vU_[77];
+ vU_[81] = -0.000102 + vU_[78] * vU_[54] + vU_[80] * vU_[52] - vU_[52] * vU_[79] - vU_[51] * vU_[77];
+ vU_[82] = vU_[75] * vU_[54] + vU_[76] * vU_[52] - vU_[81] * vU_[72];
+ vU_[83] = -8.81e-05 * vU_[51];
+ vU_[84] = 8.81e-05 * vU_[52];
+ vU_[77] = 2.1e-05 + vU_[78] * vU_[52] + vU_[80] * vU_[51] + vU_[54] * vU_[79] + vU_[52] * vU_[77];
+ vU_[72] = vU_[83] * vU_[54] + vU_[84] * vU_[52] - vU_[77] * vU_[72];
+ vU_[80] = vU_[50] * vU_[82] + vU_[69] * vU_[72];
+ vU_[76] = vU_[75] * vU_[52] + vU_[76] * vU_[51] - vU_[81] * vU_[61];
+ vU_[84] = vU_[83] * vU_[52] + vU_[84] * vU_[51] - vU_[77] * vU_[61];
+ vU_[83] = vU_[50] * vU_[76] + vU_[69] * vU_[84];
+ vU_[61] = vU_[80] * vU_[68] + vU_[83] * vU_[50];
+ vU_[83] = vU_[80] * vU_[50] + vU_[83] * vU_[69];
+ vU_[80] = 0.08 * vU_[49];
+ vU_[75] = 0.08 * vU_[69];
+ vU_[55] = vU_[80] * vU_[55] - vU_[75] * vU_[64];
+ vU_[53] = vU_[80] * vU_[64] - vU_[75] * vU_[53];
+ vU_[64] = vU_[55] * vU_[80] - vU_[53] * vU_[75];
+ vU_[59] = 0.026409 + -0.2209548 * vU_[57] + vU_[59] * vU_[57] - vU_[62];
+ vU_[79] = 0.000468 - -0.000881 * vU_[56] - vU_[63] * vU_[56] - vU_[62];
+ vU_[63] = -0.0004405 * vU_[57] + vU_[63] * vU_[57] - -0.1104774 * vU_[56];
+ vU_[57] = vU_[51] * vU_[79] + vU_[52] * vU_[63];
+ vU_[63] = vU_[51] * vU_[63] + vU_[52] * vU_[59];
+ vU_[78] = vU_[57] * vU_[51] + vU_[63] * vU_[52];
+ vU_[66] = 0.0825825 + vU_[66];
+ vU_[85] = 0 - 4.027 * vU_[80];
+ vU_[79] = 0.005495 + vU_[59] + vU_[79] + vU_[62] - vU_[78] - vU_[81] * vU_[81] / vU_[58] - 2. * vU_[66] * vU_[80] - vU_[85] * vU_[80] - vU_[64];
+ vU_[59] = vU_[77] / vU_[58];
+ vU_[60] = -0.47422804 - vU_[60];
+ vU_[63] = -0.007418 + vU_[63] * vU_[54] + vU_[57] * vU_[52] - vU_[81] * vU_[59] + vU_[66] * vU_[75] + vU_[85] * vU_[75] - vU_[60] * vU_[80];
+ vU_[57] = vU_[50] * vU_[79] + vU_[69] * vU_[63];
+ vU_[54] = 4.027 * vU_[75];
+ vU_[59] = 2. * vU_[60] * vU_[75] + 0.087136 + vU_[62] + vU_[78] - vU_[77] * vU_[59] + vU_[54] * vU_[75] - vU_[64];
+ vU_[63] = vU_[50] * vU_[63] + vU_[69] * vU_[59];
+ vU_[78] = vU_[57] * vU_[50] + vU_[63] * vU_[69];
+ vU_[62] = 0.011033 + vU_[64] + vU_[78];
+ vU_[86] = vU_[83] / vU_[62];
+ vU_[87] = vU_[71] * vU_[50] + vU_[74] * vU_[68] - vU_[61] * vU_[86];
+ vU_[88] = vU_[48] * vU_[87];
+ vU_[89] = sin(x_in[15]);
+ vU_[90] = 0.207 * vU_[89];
+ vU_[54] = vU_[54] + vU_[60];
+ vU_[60] = 0 - vU_[54];
+ vU_[85] = vU_[85] + vU_[66];
+ vU_[66] = vU_[68] * vU_[60] + vU_[50] * vU_[85];
+ vU_[91] = 0.1466472 + vU_[66];
+ vU_[92] = 0 - vU_[91] * vU_[86];
+ vU_[93] = vU_[90] * vU_[92];
+ vU_[94] = vU_[88] - vU_[93];
+ vU_[95] = cos(x_in[9]);
+ vU_[96] = 0.207 * vU_[95];
+ vU_[97] = sin(x_in[10]);
+ vU_[98] = 0 - vU_[97];
+ vU_[99] = sin(x_in[11]);
+ vU_[100] = cos(x_in[11]);
+ vU_[101] = 0.00185880198235362 * vU_[99] + -0.466187537174287 * vU_[100];
+ vU_[102] = 0 - vU_[99];
+ vU_[103] = -7.4114911576828e-06 * vU_[99] + 0.00185880198235362 * vU_[100];
+ vU_[104] = 0.35 * vU_[99];
+ vU_[105] = -0.35 * vU_[100];
+ vU_[106] = 0.00185880198235362 * vU_[104] - 0.414812462825713 * vU_[105];
+ vU_[107] = 0.881 * vU_[105];
+ vU_[108] = -0.1104774 + vU_[107];
+ vU_[109] = vU_[106] + vU_[108];
+ vU_[110] = 0.880992588508842 * vU_[104] - 0.00185880198235362 * vU_[105];
+ vU_[111] = 0 - 0.881 * vU_[104];
+ vU_[112] = 0.0004405 + vU_[111];
+ vU_[113] = vU_[110] + vU_[112];
+ vU_[108] = 0 - vU_[108];
+ vU_[114] = vU_[99] * vU_[108] + vU_[100] * vU_[112];
+ vU_[115] = 0.0825825 + vU_[109] * vU_[102] + vU_[113] * vU_[100] - vU_[114];
+ vU_[108] = vU_[100] * vU_[108] + vU_[102] * vU_[112];
+ vU_[113] = 0.47422804 + vU_[109] * vU_[100] + vU_[113] * vU_[99] + vU_[108];
+ vU_[110] = vU_[110] * vU_[104] - vU_[106] * vU_[105];
+ vU_[106] = 0.089871 + vU_[110];
+ vU_[109] = vU_[113] / vU_[106];
+ vU_[112] = vU_[101] * vU_[102] + vU_[103] * vU_[100] - vU_[115] * vU_[109];
+ vU_[116] = cos(x_in[10]);
+ vU_[117] = 0 - vU_[116];
+ vU_[103] = vU_[103] * vU_[99] + vU_[101] * vU_[100];
+ vU_[101] = 4.027 + vU_[103] - vU_[113] * vU_[109];
+ vU_[118] = vU_[101] - 4.027;
+ vU_[119] = vU_[98] * vU_[112] + vU_[117] * vU_[118];
+ vU_[120] = vU_[115] / vU_[106];
+ vU_[103] = 3.56080505133456 - vU_[103] - vU_[115] * vU_[120];
+ vU_[121] = vU_[103] - 4.027;
+ vU_[122] = vU_[98] * vU_[121] + vU_[117] * vU_[112];
+ vU_[123] = 8.81e-05 * vU_[100];
+ vU_[124] = -8.81e-05 * vU_[102];
+ vU_[125] = -8.81e-05 * vU_[104];
+ vU_[126] = 2. * vU_[125];
+ vU_[127] = 0 - 8.81e-05 * vU_[105];
+ vU_[128] = 2. * vU_[127];
+ vU_[125] = 0 - vU_[125];
+ vU_[129] = 0.000102 + vU_[126] * vU_[102] + vU_[128] * vU_[100] - vU_[100] * vU_[127] - vU_[99] * vU_[125];
+ vU_[130] = vU_[123] * vU_[102] + vU_[124] * vU_[100] - vU_[129] * vU_[120];
+ vU_[131] = 8.81e-05 * vU_[99];
+ vU_[132] = -8.81e-05 * vU_[100];
+ vU_[125] = 2.1e-05 + vU_[126] * vU_[100] + vU_[128] * vU_[99] + vU_[102] * vU_[127] + vU_[100] * vU_[125];
+ vU_[120] = vU_[131] * vU_[102] + vU_[132] * vU_[100] - vU_[125] * vU_[120];
+ vU_[128] = vU_[98] * vU_[130] + vU_[117] * vU_[120];
+ vU_[124] = vU_[123] * vU_[100] + vU_[124] * vU_[99] - vU_[129] * vU_[109];
+ vU_[132] = vU_[131] * vU_[100] + vU_[132] * vU_[99] - vU_[125] * vU_[109];
+ vU_[131] = vU_[98] * vU_[124] + vU_[117] * vU_[132];
+ vU_[109] = vU_[128] * vU_[116] + vU_[131] * vU_[98];
+ vU_[131] = vU_[128] * vU_[98] + vU_[131] * vU_[117];
+ vU_[128] = 0.08 * vU_[97];
+ vU_[123] = 0.08 * vU_[117];
+ vU_[103] = vU_[128] * vU_[103] - vU_[123] * vU_[112];
+ vU_[101] = vU_[128] * vU_[112] - vU_[123] * vU_[101];
+ vU_[112] = vU_[103] * vU_[128] - vU_[101] * vU_[123];
+ vU_[107] = 0.026409 + -0.2209548 * vU_[105] + vU_[107] * vU_[105] - vU_[110];
+ vU_[127] = 0.000468 - 0.000881 * vU_[104] - vU_[111] * vU_[104] - vU_[110];
+ vU_[111] = 0.0004405 * vU_[105] + vU_[111] * vU_[105] - -0.1104774 * vU_[104];
+ vU_[105] = vU_[99] * vU_[127] + vU_[100] * vU_[111];
+ vU_[111] = vU_[99] * vU_[111] + vU_[100] * vU_[107];
+ vU_[126] = vU_[105] * vU_[99] + vU_[111] * vU_[100];
+ vU_[114] = -0.0825825 + vU_[114];
+ vU_[133] = 0 - 4.027 * vU_[128];
+ vU_[127] = 0.005495 + vU_[107] + vU_[127] + vU_[110] - vU_[126] - vU_[129] * vU_[129] / vU_[106] - 2. * vU_[114] * vU_[128] - vU_[133] * vU_[128] - vU_[112];
+ vU_[107] = vU_[125] / vU_[106];
+ vU_[108] = -0.47422804 - vU_[108];
+ vU_[111] = 0.007418 + vU_[111] * vU_[102] + vU_[105] * vU_[100] - vU_[129] * vU_[107] + vU_[114] * vU_[123] + vU_[133] * vU_[123] - vU_[108] * vU_[128];
+ vU_[105] = vU_[98] * vU_[127] + vU_[117] * vU_[111];
+ vU_[102] = 4.027 * vU_[123];
+ vU_[107] = 2. * vU_[108] * vU_[123] + 0.087136 + vU_[110] + vU_[126] - vU_[125] * vU_[107] + vU_[102] * vU_[123] - vU_[112];
+ vU_[111] = vU_[98] * vU_[111] + vU_[117] * vU_[107];
+ vU_[126] = vU_[105] * vU_[98] + vU_[111] * vU_[117];
+ vU_[110] = 0.011033 + vU_[112] + vU_[126];
+ vU_[134] = vU_[131] / vU_[110];
+ vU_[135] = vU_[119] * vU_[98] + vU_[122] * vU_[116] - vU_[109] * vU_[134];
+ vU_[136] = vU_[96] * vU_[135];
+ vU_[137] = sin(x_in[9]);
+ vU_[138] = 0.207 * vU_[137];
+ vU_[102] = vU_[102] + vU_[108];
+ vU_[108] = 0 - vU_[102];
+ vU_[133] = vU_[133] + vU_[114];
+ vU_[114] = vU_[116] * vU_[108] + vU_[98] * vU_[133];
+ vU_[139] = 0.1466472 + vU_[114];
+ vU_[140] = 0 - vU_[139] * vU_[134];
+ vU_[141] = vU_[138] * vU_[140];
+ vU_[142] = vU_[136] - vU_[141];
+ vU_[143] = cos(x_in[6]);
+ vU_[144] = -0.207 * vU_[143];
+ vU_[145] = -1 * vU_[144];
+ vU_[146] = sin(x_in[7]);
+ vU_[147] = sin(x_in[8]);
+ vU_[148] = cos(x_in[8]);
+ vU_[149] = 0.00185880198235362 * vU_[147] + -0.466187537174287 * vU_[148];
+ vU_[150] = 0 - vU_[147];
+ vU_[151] = -7.4114911576828e-06 * vU_[147] + 0.00185880198235362 * vU_[148];
+ vU_[152] = 0.35 * vU_[147];
+ vU_[153] = -0.35 * vU_[148];
+ vU_[154] = 0.00185880198235362 * vU_[152] - 0.414812462825713 * vU_[153];
+ vU_[155] = 0.881 * vU_[153];
+ vU_[156] = -0.1104774 + vU_[155];
+ vU_[157] = vU_[154] + vU_[156];
+ vU_[158] = 0.880992588508842 * vU_[152] - 0.00185880198235362 * vU_[153];
+ vU_[159] = 0 - 0.881 * vU_[152];
+ vU_[160] = 0.0004405 + vU_[159];
+ vU_[161] = vU_[158] + vU_[160];
+ vU_[156] = 0 - vU_[156];
+ vU_[162] = vU_[147] * vU_[156] + vU_[148] * vU_[160];
+ vU_[163] = 0.0825825 + vU_[157] * vU_[150] + vU_[161] * vU_[148] - vU_[162];
+ vU_[156] = vU_[148] * vU_[156] + vU_[150] * vU_[160];
+ vU_[161] = 0.47422804 + vU_[157] * vU_[148] + vU_[161] * vU_[147] + vU_[156];
+ vU_[158] = vU_[158] * vU_[152] - vU_[154] * vU_[153];
+ vU_[154] = 0.089871 + vU_[158];
+ vU_[157] = vU_[161] / vU_[154];
+ vU_[160] = vU_[149] * vU_[150] + vU_[151] * vU_[148] - vU_[163] * vU_[157];
+ vU_[164] = cos(x_in[7]);
+ vU_[151] = vU_[151] * vU_[147] + vU_[149] * vU_[148];
+ vU_[149] = 4.027 + vU_[151] - vU_[161] * vU_[157];
+ vU_[165] = vU_[149] - 4.027;
+ vU_[166] = vU_[146] * vU_[160] + vU_[164] * vU_[165];
+ vU_[167] = 0 - vU_[146];
+ vU_[168] = vU_[163] / vU_[154];
+ vU_[151] = 3.56080505133456 - vU_[151] - vU_[163] * vU_[168];
+ vU_[169] = vU_[151] - 4.027;
+ vU_[170] = vU_[146] * vU_[169] + vU_[164] * vU_[160];
+ vU_[171] = 8.81e-05 * vU_[148];
+ vU_[172] = -8.81e-05 * vU_[150];
+ vU_[173] = -8.81e-05 * vU_[152];
+ vU_[174] = 2. * vU_[173];
+ vU_[175] = 0 - 8.81e-05 * vU_[153];
+ vU_[176] = 2. * vU_[175];
+ vU_[173] = 0 - vU_[173];
+ vU_[177] = 0.000102 + vU_[174] * vU_[150] + vU_[176] * vU_[148] - vU_[148] * vU_[175] - vU_[147] * vU_[173];
+ vU_[178] = vU_[171] * vU_[150] + vU_[172] * vU_[148] - vU_[177] * vU_[168];
+ vU_[179] = 8.81e-05 * vU_[147];
+ vU_[180] = -8.81e-05 * vU_[148];
+ vU_[173] = 2.1e-05 + vU_[174] * vU_[148] + vU_[176] * vU_[147] + vU_[150] * vU_[175] + vU_[148] * vU_[173];
+ vU_[168] = vU_[179] * vU_[150] + vU_[180] * vU_[148] - vU_[173] * vU_[168];
+ vU_[176] = vU_[146] * vU_[178] + vU_[164] * vU_[168];
+ vU_[172] = vU_[171] * vU_[148] + vU_[172] * vU_[147] - vU_[177] * vU_[157];
+ vU_[180] = vU_[179] * vU_[148] + vU_[180] * vU_[147] - vU_[173] * vU_[157];
+ vU_[179] = vU_[146] * vU_[172] + vU_[164] * vU_[180];
+ vU_[157] = vU_[176] * vU_[164] + vU_[179] * vU_[167];
+ vU_[179] = vU_[176] * vU_[146] + vU_[179] * vU_[164];
+ vU_[176] = -0.08 * vU_[146];
+ vU_[171] = -1 * vU_[176];
+ vU_[175] = -0.08 * vU_[164];
+ vU_[151] = vU_[171] * vU_[151] - vU_[175] * vU_[160];
+ vU_[149] = vU_[171] * vU_[160] - vU_[175] * vU_[149];
+ vU_[160] = vU_[151] * vU_[171] - vU_[149] * vU_[175];
+ vU_[155] = 0.026409 + -0.2209548 * vU_[153] + vU_[155] * vU_[153] - vU_[158];
+ vU_[174] = 0.000468 - 0.000881 * vU_[152] - vU_[159] * vU_[152] - vU_[158];
+ vU_[159] = 0.0004405 * vU_[153] + vU_[159] * vU_[153] - -0.1104774 * vU_[152];
+ vU_[153] = vU_[147] * vU_[174] + vU_[148] * vU_[159];
+ vU_[159] = vU_[147] * vU_[159] + vU_[148] * vU_[155];
+ vU_[181] = vU_[153] * vU_[147] + vU_[159] * vU_[148];
+ vU_[162] = -0.0825825 + vU_[162];
+ vU_[182] = 0 - 4.027 * vU_[171];
+ vU_[174] = 0.005495 + vU_[155] + vU_[174] + vU_[158] - vU_[181] - vU_[177] * vU_[177] / vU_[154] - 2. * vU_[162] * vU_[171] - vU_[182] * vU_[171] - vU_[160];
+ vU_[155] = vU_[173] / vU_[154];
+ vU_[156] = -0.47422804 - vU_[156];
+ vU_[159] = 0.007418 + vU_[159] * vU_[150] + vU_[153] * vU_[148] - vU_[177] * vU_[155] + vU_[162] * vU_[175] + vU_[182] * vU_[175] - vU_[156] * vU_[171];
+ vU_[153] = vU_[146] * vU_[174] + vU_[164] * vU_[159];
+ vU_[150] = 4.027 * vU_[175];
+ vU_[155] = 2. * vU_[156] * vU_[175] + 0.087136 + vU_[158] + vU_[181] - vU_[173] * vU_[155] + vU_[150] * vU_[175] - vU_[160];
+ vU_[159] = vU_[146] * vU_[159] + vU_[164] * vU_[155];
+ vU_[181] = vU_[153] * vU_[146] + vU_[159] * vU_[164];
+ vU_[158] = 0.011033 + vU_[160] + vU_[181];
+ vU_[183] = vU_[179] / vU_[158];
+ vU_[184] = vU_[166] * vU_[167] + vU_[170] * vU_[164] - vU_[157] * vU_[183];
+ vU_[185] = vU_[145] * vU_[184];
+ vU_[186] = sin(x_in[6]);
+ vU_[187] = 0.207 * vU_[186];
+ vU_[150] = vU_[150] + vU_[156];
+ vU_[156] = 0 - vU_[150];
+ vU_[182] = vU_[182] + vU_[162];
+ vU_[162] = vU_[164] * vU_[156] + vU_[167] * vU_[182];
+ vU_[188] = 0.1466472 + vU_[162];
+ vU_[189] = 0 - vU_[188] * vU_[183];
+ vU_[190] = vU_[187] * vU_[189];
+ vU_[191] = vU_[185] - vU_[190];
+ vU_[54] = vU_[53] + vU_[54];
+ vU_[55] = vU_[55] + vU_[85];
+ vU_[53] = vU_[82] * vU_[80] - vU_[76] * vU_[75];
+ vU_[75] = vU_[72] * vU_[80] - vU_[84] * vU_[75];
+ vU_[192] = 0 - vU_[75];
+ vU_[193] = -5.1e-05 + vU_[50] * vU_[53] + vU_[68] * vU_[192];
+ vU_[66] = -0.1466472 + vU_[54] * vU_[69] + vU_[55] * vU_[50] - vU_[66] - vU_[193] * vU_[86];
+ vU_[194] = vU_[193] / vU_[62];
+ vU_[74] = vU_[74] * vU_[50] + vU_[71] * vU_[69];
+ vU_[71] = 7.467 + vU_[74] - vU_[83] * vU_[86];
+ vU_[195] = 0.3735 * vU_[89];
+ vU_[196] = 0 - vU_[47];
+ vU_[197] = -0.3735 * vU_[47];
+ vU_[198] = vU_[89] * vU_[195] + vU_[196] * vU_[197];
+ vU_[199] = vU_[90] * vU_[71] - vU_[198] * vU_[87];
+ vU_[85] = vU_[50] * vU_[60] + vU_[69] * vU_[85];
+ vU_[60] = vU_[61] / vU_[62];
+ vU_[55] = 0.5824264 + vU_[54] * vU_[50] + vU_[55] * vU_[68] + vU_[85] - vU_[193] * vU_[60];
+ vU_[74] = 7.467 + vU_[70] + vU_[73] - vU_[74] - vU_[61] * vU_[60];
+ vU_[73] = vU_[90] * vU_[87] - vU_[198] * vU_[74];
+ vU_[70] = vU_[91] / vU_[62];
+ vU_[54] = 0 - vU_[61] * vU_[70];
+ vU_[200] = vU_[48] * vU_[74] - vU_[90] * vU_[54];
+ vU_[201] = 7.467 - vU_[91] * vU_[70];
+ vU_[202] = vU_[48] * vU_[54] - vU_[90] * vU_[201];
+ vU_[203] = vU_[200] * vU_[48] - vU_[202] * vU_[90];
+ vU_[204] = 2. * vU_[66] * vU_[90] + 0.144171 + vU_[64] - vU_[193] * vU_[194] + vU_[199] * vU_[90] - 2. * vU_[55] * vU_[198] - vU_[73] * vU_[198] - vU_[203];
+ vU_[63] = -0.022734 + vU_[63] * vU_[50] + vU_[57] * vU_[68];
+ vU_[85] = -0.5824264 - vU_[85] - vU_[63] * vU_[70];
+ vU_[57] = vU_[198] * vU_[201] - vU_[48] * vU_[92];
+ vU_[84] = vU_[68] * vU_[76] + vU_[50] * vU_[84];
+ vU_[72] = vU_[68] * vU_[82] + vU_[50] * vU_[72];
+ vU_[86] = vU_[84] * vU_[69] + vU_[72] * vU_[50] - vU_[63] * vU_[86];
+ vU_[82] = vU_[198] * vU_[92] - vU_[48] * vU_[71];
+ vU_[78] = 2. * vU_[85] * vU_[198] + 0.134705 + vU_[59] + vU_[79] + vU_[64] - vU_[78] - vU_[63] * vU_[63] / vU_[62] + vU_[57] * vU_[198] - 2. * vU_[86] * vU_[48] - vU_[82] * vU_[48] - vU_[203];
+ vU_[7] = -1 * (vU_[6] + vU_[7]);
+ vU_[8] = -1 * (vU_[8] + vU_[37]);
+ vU_[6] = vU_[28] * vU_[33] - vU_[30] * vU_[34];
+ vU_[34] = vU_[25] * vU_[33] - vU_[14] * vU_[34];
+ vU_[33] = 0 - vU_[34];
+ vU_[59] = -5.1e-05 + vU_[24] * vU_[6] + vU_[21] * vU_[33];
+ vU_[19] = -0.1466472 + vU_[7] * vU_[21] + vU_[8] * vU_[3] - vU_[19] - vU_[59] * vU_[38];
+ vU_[79] = vU_[59] / vU_[15];
+ vU_[27] = vU_[27] * vU_[3] + vU_[23] * vU_[21];
+ vU_[23] = 7.467 + vU_[27] - vU_[31] * vU_[38];
+ vU_[64] = 0 - vU_[41];
+ vU_[76] = 0.3735 * vU_[41];
+ vU_[205] = 0 - vU_[0];
+ vU_[206] = 0.3735 * vU_[0];
+ vU_[207] = vU_[64] * vU_[76] + vU_[205] * vU_[206];
+ vU_[208] = vU_[42] * vU_[23] - vU_[207] * vU_[39];
+ vU_[37] = vU_[3] * vU_[13] + vU_[21] * vU_[37];
+ vU_[13] = vU_[32] / vU_[15];
+ vU_[8] = -0.5824264 + vU_[7] * vU_[24] + vU_[8] * vU_[21] + vU_[37] - vU_[59] * vU_[13];
+ vU_[27] = 7.467 + vU_[22] + vU_[26] - vU_[27] - vU_[32] * vU_[13];
+ vU_[26] = vU_[42] * vU_[39] - vU_[207] * vU_[27];
+ vU_[22] = vU_[43] / vU_[15];
+ vU_[7] = 0 - vU_[32] * vU_[22];
+ vU_[209] = vU_[2] * vU_[27] - vU_[42] * vU_[7];
+ vU_[210] = 7.467 - vU_[43] * vU_[22];
+ vU_[211] = vU_[2] * vU_[7] - vU_[42] * vU_[210];
+ vU_[212] = vU_[209] * vU_[2] - vU_[211] * vU_[42];
+ vU_[213] = 2. * vU_[19] * vU_[42] + 0.144171 + vU_[17] - vU_[59] * vU_[79] + vU_[208] * vU_[42] - 2. * vU_[8] * vU_[207] - vU_[26] * vU_[207] - vU_[212];
+ vU_[16] = 0.022734 + vU_[16] * vU_[24] + vU_[10] * vU_[21];
+ vU_[37] = 0.5824264 - vU_[37] - vU_[16] * vU_[22];
+ vU_[10] = vU_[207] * vU_[210] - vU_[2] * vU_[44];
+ vU_[14] = vU_[21] * vU_[30] + vU_[24] * vU_[14];
+ vU_[25] = vU_[21] * vU_[28] + vU_[24] * vU_[25];
+ vU_[38] = vU_[14] * vU_[21] + vU_[25] * vU_[3] - vU_[16] * vU_[38];
+ vU_[28] = vU_[207] * vU_[44] - vU_[2] * vU_[23];
+ vU_[36] = 2. * vU_[37] * vU_[207] + 0.134705 + vU_[12] + vU_[35] + vU_[17] - vU_[36] - vU_[16] * vU_[16] / vU_[15] + vU_[10] * vU_[207] - 2. * vU_[38] * vU_[2] - vU_[28] * vU_[2] - vU_[212];
+ vU_[102] = vU_[101] + vU_[102];
+ vU_[103] = vU_[103] + vU_[133];
+ vU_[101] = vU_[130] * vU_[128] - vU_[124] * vU_[123];
+ vU_[123] = vU_[120] * vU_[128] - vU_[132] * vU_[123];
+ vU_[12] = 0 - vU_[123];
+ vU_[35] = -5.1e-05 + vU_[98] * vU_[101] + vU_[116] * vU_[12];
+ vU_[114] = -0.1466472 + vU_[102] * vU_[117] + vU_[103] * vU_[98] - vU_[114] - vU_[35] * vU_[134];
+ vU_[17] = vU_[35] / vU_[110];
+ vU_[122] = vU_[122] * vU_[98] + vU_[119] * vU_[117];
+ vU_[119] = 7.467 + vU_[122] - vU_[131] * vU_[134];
+ vU_[30] = -0.3735 * vU_[137];
+ vU_[214] = 0 - vU_[95];
+ vU_[215] = 0.3735 * vU_[95];
+ vU_[216] = vU_[137] * vU_[30] + vU_[214] * vU_[215];
+ vU_[217] = vU_[138] * vU_[119] - vU_[216] * vU_[135];
+ vU_[133] = vU_[98] * vU_[108] + vU_[117] * vU_[133];
+ vU_[108] = vU_[109] / vU_[110];
+ vU_[103] = -0.5824264 + vU_[102] * vU_[98] + vU_[103] * vU_[116] + vU_[133] - vU_[35] * vU_[108];
+ vU_[122] = 7.467 + vU_[118] + vU_[121] - vU_[122] - vU_[109] * vU_[108];
+ vU_[121] = vU_[138] * vU_[135] - vU_[216] * vU_[122];
+ vU_[118] = vU_[139] / vU_[110];
+ vU_[102] = 0 - vU_[109] * vU_[118];
+ vU_[218] = vU_[96] * vU_[122] - vU_[138] * vU_[102];
+ vU_[219] = 7.467 - vU_[139] * vU_[118];
+ vU_[220] = vU_[96] * vU_[102] - vU_[138] * vU_[219];
+ vU_[221] = vU_[218] * vU_[96] - vU_[220] * vU_[138];
+ vU_[222] = 2. * vU_[114] * vU_[138] + 0.144171 + vU_[112] - vU_[35] * vU_[17] + vU_[217] * vU_[138] - 2. * vU_[103] * vU_[216] - vU_[121] * vU_[216] - vU_[221];
+ vU_[111] = 0.022734 + vU_[111] * vU_[98] + vU_[105] * vU_[116];
+ vU_[133] = 0.5824264 - vU_[133] - vU_[111] * vU_[118];
+ vU_[105] = vU_[216] * vU_[219] - vU_[96] * vU_[140];
+ vU_[132] = vU_[116] * vU_[124] + vU_[98] * vU_[132];
+ vU_[120] = vU_[116] * vU_[130] + vU_[98] * vU_[120];
+ vU_[134] = vU_[132] * vU_[117] + vU_[120] * vU_[98] - vU_[111] * vU_[134];
+ vU_[130] = vU_[216] * vU_[140] - vU_[96] * vU_[119];
+ vU_[126] = 2. * vU_[133] * vU_[216] + 0.134705 + vU_[107] + vU_[127] + vU_[112] - vU_[126] - vU_[111] * vU_[111] / vU_[110] + vU_[105] * vU_[216] - 2. * vU_[134] * vU_[96] - vU_[130] * vU_[96] - vU_[221];
+ vU_[150] = -1 * (vU_[149] + vU_[150]);
+ vU_[151] = -1 * (vU_[151] + vU_[182]);
+ vU_[149] = vU_[178] * vU_[171] - vU_[172] * vU_[175];
+ vU_[175] = vU_[168] * vU_[171] - vU_[180] * vU_[175];
+ vU_[171] = 0 - vU_[175];
+ vU_[107] = -5.1e-05 + vU_[167] * vU_[149] + vU_[164] * vU_[171];
+ vU_[162] = -0.1466472 + vU_[150] * vU_[164] + vU_[151] * vU_[146] - vU_[162] - vU_[107] * vU_[183];
+ vU_[127] = vU_[107] / vU_[158];
+ vU_[170] = vU_[170] * vU_[146] + vU_[166] * vU_[164];
+ vU_[166] = 7.467 + vU_[170] - vU_[179] * vU_[183];
+ vU_[112] = 0 - vU_[186];
+ vU_[124] = -0.3735 * vU_[186];
+ vU_[223] = 0 - vU_[143];
+ vU_[224] = -0.3735 * vU_[143];
+ vU_[225] = vU_[112] * vU_[124] + vU_[223] * vU_[224];
+ vU_[226] = vU_[187] * vU_[166] - vU_[225] * vU_[184];
+ vU_[182] = vU_[146] * vU_[156] + vU_[164] * vU_[182];
+ vU_[156] = vU_[157] / vU_[158];
+ vU_[151] = 0.5824264 + vU_[150] * vU_[167] + vU_[151] * vU_[164] + vU_[182] - vU_[107] * vU_[156];
+ vU_[170] = 7.467 + vU_[165] + vU_[169] - vU_[170] - vU_[157] * vU_[156];
+ vU_[169] = vU_[187] * vU_[184] - vU_[225] * vU_[170];
+ vU_[165] = vU_[188] / vU_[158];
+ vU_[150] = 0 - vU_[157] * vU_[165];
+ vU_[227] = vU_[145] * vU_[170] - vU_[187] * vU_[150];
+ vU_[228] = 7.467 - vU_[188] * vU_[165];
+ vU_[229] = vU_[145] * vU_[150] - vU_[187] * vU_[228];
+ vU_[230] = vU_[227] * vU_[145] - vU_[229] * vU_[187];
+ vU_[231] = 2. * vU_[162] * vU_[187] + 0.144171 + vU_[160] - vU_[107] * vU_[127] + vU_[226] * vU_[187] - 2. * vU_[151] * vU_[225] - vU_[169] * vU_[225] - vU_[230];
+ vU_[159] = -0.022734 + vU_[159] * vU_[167] + vU_[153] * vU_[164];
+ vU_[182] = -0.5824264 - vU_[182] - vU_[159] * vU_[165];
+ vU_[153] = vU_[225] * vU_[228] - vU_[145] * vU_[189];
+ vU_[180] = vU_[164] * vU_[172] + vU_[167] * vU_[180];
+ vU_[168] = vU_[164] * vU_[178] + vU_[167] * vU_[168];
+ vU_[183] = vU_[180] * vU_[164] + vU_[168] * vU_[146] - vU_[159] * vU_[183];
+ vU_[178] = vU_[225] * vU_[189] - vU_[145] * vU_[166];
+ vU_[181] = 2. * vU_[182] * vU_[225] + 0.134705 + vU_[155] + vU_[174] + vU_[160] - vU_[181] - vU_[159] * vU_[159] / vU_[158] + vU_[153] * vU_[225] - 2. * vU_[183] * vU_[145] - vU_[178] * vU_[145] - vU_[230];
+ vU_[70] = 0 - vU_[193] * vU_[70];
+ vU_[72] = vU_[84] * vU_[50] + vU_[72] * vU_[68] - vU_[63] * vU_[60];
+ vU_[84] = vU_[198] * vU_[54];
+ vU_[88] = vU_[84] - vU_[88];
+ vU_[198] = vU_[70] * vU_[198] + -3.6e-05 + 2. * vU_[75] * vU_[50] + 2. * vU_[53] * vU_[68] + vU_[69] * vU_[53] + vU_[50] * vU_[192] - vU_[63] * vU_[194] + vU_[86] * vU_[90] + vU_[82] * vU_[90] - vU_[72] * vU_[198] - vU_[66] * vU_[48] - vU_[88] * vU_[198];
+ vU_[194] = vU_[89] * vU_[198];
+ vU_[192] = (vU_[89] * vU_[78] + vU_[47] * vU_[198]) * vU_[89] + (vU_[194] + vU_[47] * vU_[204]) * vU_[47];
+ vU_[194] = vU_[196] * vU_[78] + vU_[194];
+ vU_[198] = vU_[196] * vU_[198] + vU_[89] * vU_[204];
+ vU_[75] = vU_[194] * vU_[196] + vU_[198] * vU_[89];
+ vU_[22] = 0 - vU_[59] * vU_[22];
+ vU_[25] = vU_[14] * vU_[24] + vU_[25] * vU_[21] - vU_[16] * vU_[13];
+ vU_[14] = vU_[207] * vU_[7];
+ vU_[40] = vU_[14] - vU_[40];
+ vU_[207] = vU_[22] * vU_[207] + 3.6e-05 + -1 * 2. * vU_[34] * vU_[24] + -1 * 2. * vU_[6] * vU_[21] + vU_[21] * vU_[6] + vU_[3] * vU_[33] - vU_[16] * vU_[79] + vU_[38] * vU_[42] + vU_[28] * vU_[42] - vU_[25] * vU_[207] - vU_[19] * vU_[2] - vU_[40] * vU_[207];
+ vU_[79] = vU_[205] * vU_[207];
+ vU_[33] = (vU_[64] * vU_[36] + vU_[79]) * vU_[64] + (vU_[64] * vU_[207] + vU_[205] * vU_[213]) * vU_[205];
+ vU_[207] = vU_[205] * vU_[36] + vU_[41] * vU_[207];
+ vU_[79] = vU_[79] + vU_[41] * vU_[213];
+ vU_[34] = vU_[207] * vU_[205] + vU_[79] * vU_[41];
+ vU_[118] = 0 - vU_[35] * vU_[118];
+ vU_[120] = vU_[132] * vU_[98] + vU_[120] * vU_[116] - vU_[111] * vU_[108];
+ vU_[132] = vU_[216] * vU_[102];
+ vU_[136] = vU_[132] - vU_[136];
+ vU_[216] = vU_[118] * vU_[216] + 3.6e-05 + 2. * vU_[123] * vU_[98] + 2. * vU_[101] * vU_[116] + vU_[117] * vU_[101] + vU_[98] * vU_[12] - vU_[111] * vU_[17] + vU_[134] * vU_[138] + vU_[130] * vU_[138] - vU_[120] * vU_[216] - vU_[114] * vU_[96] - vU_[136] * vU_[216];
+ vU_[17] = vU_[137] * vU_[216];
+ vU_[12] = (vU_[137] * vU_[126] + vU_[95] * vU_[216]) * vU_[137] + (vU_[17] + vU_[95] * vU_[222]) * vU_[95];
+ vU_[17] = vU_[214] * vU_[126] + vU_[17];
+ vU_[216] = vU_[214] * vU_[216] + vU_[137] * vU_[222];
+ vU_[123] = vU_[17] * vU_[214] + vU_[216] * vU_[137];
+ vU_[165] = 0 - vU_[107] * vU_[165];
+ vU_[168] = vU_[180] * vU_[167] + vU_[168] * vU_[164] - vU_[159] * vU_[156];
+ vU_[180] = vU_[225] * vU_[150];
+ vU_[185] = vU_[180] - vU_[185];
+ vU_[225] = vU_[165] * vU_[225] + -3.6e-05 + -1 * 2. * vU_[175] * vU_[167] + -1 * 2. * vU_[149] * vU_[164] + vU_[164] * vU_[149] + vU_[146] * vU_[171] - vU_[159] * vU_[127] + vU_[183] * vU_[187] + vU_[178] * vU_[187] - vU_[168] * vU_[225] - vU_[162] * vU_[145] - vU_[185] * vU_[225];
+ vU_[127] = vU_[223] * vU_[225];
+ vU_[171] = (vU_[112] * vU_[181] + vU_[127]) * vU_[112] + (vU_[112] * vU_[225] + vU_[223] * vU_[231]) * vU_[223];
+ vU_[225] = vU_[223] * vU_[181] + vU_[186] * vU_[225];
+ vU_[127] = vU_[127] + vU_[186] * vU_[231];
+ vU_[175] = vU_[225] * vU_[223] + vU_[127] * vU_[186];
+ vU_[181] = 1.209488 + vU_[204] + vU_[78] + vU_[203] + vU_[213] + vU_[36] + vU_[212] + vU_[222] + vU_[126] + vU_[221] + vU_[231] + vU_[181] + vU_[230] - vU_[192] - vU_[75] - vU_[33] - vU_[34] - vU_[12] - vU_[123] - vU_[171] - vU_[175];
+ vU_[231] = (vU_[46] + vU_[94] + vU_[142] + vU_[191]) / vU_[181];
+ vU_[84] = vU_[93] - vU_[84];
+ vU_[93] = vU_[70] * vU_[90] + vU_[84] * vU_[90] - vU_[55] * vU_[48] - vU_[73] * vU_[48];
+ vU_[90] = vU_[72] * vU_[48] + vU_[88] * vU_[48] - vU_[85] * vU_[90] - vU_[57] * vU_[90];
+ vU_[126] = vU_[196] * vU_[93] + vU_[89] * vU_[90];
+ vU_[14] = vU_[45] - vU_[14];
+ vU_[45] = vU_[22] * vU_[42] + vU_[14] * vU_[42] - vU_[8] * vU_[2] - vU_[26] * vU_[2];
+ vU_[42] = vU_[25] * vU_[2] + vU_[40] * vU_[2] - vU_[37] * vU_[42] - vU_[10] * vU_[42];
+ vU_[2] = vU_[205] * vU_[45] + vU_[41] * vU_[42];
+ vU_[132] = vU_[141] - vU_[132];
+ vU_[141] = vU_[118] * vU_[138] + vU_[132] * vU_[138] - vU_[103] * vU_[96] - vU_[121] * vU_[96];
+ vU_[138] = vU_[120] * vU_[96] + vU_[136] * vU_[96] - vU_[133] * vU_[138] - vU_[105] * vU_[138];
+ vU_[222] = vU_[214] * vU_[141] + vU_[137] * vU_[138];
+ vU_[180] = vU_[190] - vU_[180];
+ vU_[190] = vU_[165] * vU_[187] + vU_[180] * vU_[187] - vU_[151] * vU_[145] - vU_[169] * vU_[145];
+ vU_[187] = vU_[168] * vU_[145] + vU_[185] * vU_[145] - vU_[182] * vU_[187] - vU_[153] * vU_[187];
+ vU_[145] = vU_[223] * vU_[190] + vU_[186] * vU_[187];
+ vU_[36] = (-0.00571 + vU_[126] + vU_[2] + vU_[222] + vU_[145]) / vU_[181];
+ vU_[199] = vU_[199] + vU_[66];
+ vU_[66] = 0 - vU_[199];
+ vU_[82] = vU_[82] + vU_[86];
+ vU_[86] = vU_[196] * vU_[66] + vU_[89] * vU_[82];
+ vU_[208] = vU_[208] + vU_[19];
+ vU_[19] = 0 - vU_[208];
+ vU_[28] = vU_[28] + vU_[38];
+ vU_[38] = vU_[205] * vU_[19] + vU_[41] * vU_[28];
+ vU_[217] = vU_[217] + vU_[114];
+ vU_[114] = 0 - vU_[217];
+ vU_[130] = vU_[130] + vU_[134];
+ vU_[134] = vU_[214] * vU_[114] + vU_[137] * vU_[130];
+ vU_[226] = vU_[226] + vU_[162];
+ vU_[162] = 0 - vU_[226];
+ vU_[178] = vU_[178] + vU_[183];
+ vU_[183] = vU_[223] * vU_[162] + vU_[186] * vU_[178];
+ vU_[145] = -0.00571 + vU_[126] + vU_[2] + vU_[222] + vU_[145];
+ vU_[171] = 5.5837 + vU_[203] + vU_[192] + vU_[212] + vU_[33] + vU_[221] + vU_[12] + vU_[230] + vU_[171] - vU_[145] * vU_[36];
+ vU_[12] = (2.0678571 + vU_[86] + vU_[38] + vU_[134] + vU_[183] - vU_[145] * vU_[231]) / vU_[171];
+ vU_[90] = 0 - vU_[47] * vU_[90] - vU_[89] * vU_[93];
+ vU_[42] = 0 - vU_[205] * vU_[42] - vU_[64] * vU_[45];
+ vU_[138] = 0 - vU_[95] * vU_[138] - vU_[137] * vU_[141];
+ vU_[187] = 0 - vU_[223] * vU_[187] - vU_[112] * vU_[190];
+ vU_[190] = (0.190812 + vU_[90] + vU_[42] + vU_[138] + vU_[187]) / vU_[181];
+ vU_[198] = vU_[194] * vU_[89] + vU_[198] * vU_[47];
+ vU_[79] = vU_[207] * vU_[64] + vU_[79] * vU_[205];
+ vU_[216] = vU_[17] * vU_[137] + vU_[216] * vU_[95];
+ vU_[127] = vU_[225] * vU_[112] + vU_[127] * vU_[223];
+ vU_[225] = (0.012668 + vU_[198] + vU_[79] + vU_[216] + vU_[127] - vU_[145] * vU_[190]) / vU_[171];
+ vU_[17] = vU_[190] + (0 - vU_[36]) * vU_[225];
+ vU_[66] = vU_[89] * vU_[66] + vU_[47] * vU_[82];
+ vU_[207] = 0 - vU_[66];
+ vU_[19] = vU_[64] * vU_[19] + vU_[205] * vU_[28];
+ vU_[194] = 0 - vU_[19];
+ vU_[114] = vU_[137] * vU_[114] + vU_[95] * vU_[130];
+ vU_[141] = 0 - vU_[114];
+ vU_[162] = vU_[112] * vU_[162] + vU_[223] * vU_[178];
+ vU_[45] = 0 - vU_[162];
+ vU_[187] = 0.190812 + vU_[90] + vU_[42] + vU_[138] + vU_[187];
+ vU_[127] = 0.012668 + vU_[198] + vU_[79] + vU_[216] + vU_[127] - vU_[187] * vU_[36];
+ vU_[175] = 6.056973 + vU_[203] + vU_[75] + vU_[212] + vU_[34] + vU_[221] + vU_[123] + vU_[230] + vU_[175] - vU_[127] * vU_[225] - vU_[187] * vU_[190];
+ vU_[123] = (0.0053433 + vU_[207] + vU_[194] + vU_[141] + vU_[45] - vU_[127] * vU_[12] - vU_[187] * vU_[231]) / vU_[175];
+ vU_[34] = vU_[231] + (0 - vU_[36]) * vU_[12] + (0 - vU_[17]) * vU_[123];
+ vU_[199] = vU_[202] + vU_[199];
+ vU_[82] = vU_[200] + vU_[82];
+ vU_[66] = vU_[199] * vU_[89] + vU_[82] * vU_[196] + vU_[66];
+ vU_[208] = -1 * (vU_[211] + vU_[208]);
+ vU_[28] = -1 * (vU_[209] + vU_[28]);
+ vU_[19] = vU_[208] * vU_[41] + vU_[28] * vU_[205] + vU_[19];
+ vU_[217] = vU_[220] + vU_[217];
+ vU_[130] = vU_[218] + vU_[130];
+ vU_[114] = vU_[217] * vU_[137] + vU_[130] * vU_[214] + vU_[114];
+ vU_[226] = -1 * (vU_[229] + vU_[226]);
+ vU_[178] = -1 * (vU_[227] + vU_[178]);
+ vU_[162] = vU_[226] * vU_[186] + vU_[178] * vU_[223] + vU_[162];
+ vU_[227] = (-0.0053433 + vU_[66] + vU_[19] + vU_[114] + vU_[162]) / vU_[181];
+ vU_[88] = vU_[72] + vU_[88] - vU_[94];
+ vU_[73] = vU_[73] + vU_[55];
+ vU_[55] = vU_[89] * vU_[88] + vU_[47] * vU_[73];
+ vU_[57] = vU_[57] + vU_[85];
+ vU_[84] = vU_[70] + vU_[84] - vU_[94];
+ vU_[70] = vU_[89] * vU_[57] + vU_[47] * vU_[84];
+ vU_[85] = vU_[55] * vU_[196] + vU_[70] * vU_[89];
+ vU_[40] = vU_[25] + vU_[40] - vU_[46];
+ vU_[26] = vU_[26] + vU_[8];
+ vU_[8] = vU_[64] * vU_[40] + vU_[205] * vU_[26];
+ vU_[10] = vU_[10] + vU_[37];
+ vU_[14] = vU_[22] + vU_[14] - vU_[46];
+ vU_[22] = vU_[64] * vU_[10] + vU_[205] * vU_[14];
+ vU_[37] = vU_[8] * vU_[205] + vU_[22] * vU_[41];
+ vU_[136] = vU_[120] + vU_[136] - vU_[142];
+ vU_[121] = vU_[121] + vU_[103];
+ vU_[103] = vU_[137] * vU_[136] + vU_[95] * vU_[121];
+ vU_[105] = vU_[105] + vU_[133];
+ vU_[132] = vU_[118] + vU_[132] - vU_[142];
+ vU_[118] = vU_[137] * vU_[105] + vU_[95] * vU_[132];
+ vU_[133] = vU_[103] * vU_[214] + vU_[118] * vU_[137];
+ vU_[185] = vU_[168] + vU_[185] - vU_[191];
+ vU_[169] = vU_[169] + vU_[151];
+ vU_[151] = vU_[112] * vU_[185] + vU_[223] * vU_[169];
+ vU_[153] = vU_[153] + vU_[182];
+ vU_[180] = vU_[165] + vU_[180] - vU_[191];
+ vU_[165] = vU_[112] * vU_[153] + vU_[223] * vU_[180];
+ vU_[182] = vU_[151] * vU_[223] + vU_[165] * vU_[186];
+ vU_[168] = (1.1915559 + vU_[85] + vU_[37] + vU_[133] + vU_[182] - vU_[145] * vU_[227]) / vU_[171];
+ vU_[14] = vU_[205] * vU_[10] + vU_[41] * vU_[14];
+ vU_[26] = vU_[205] * vU_[40] + vU_[41] * vU_[26];
+ vU_[40] = vU_[14] * vU_[41] + vU_[26] * vU_[205] + vU_[46];
+ vU_[84] = vU_[196] * vU_[57] + vU_[89] * vU_[84];
+ vU_[73] = vU_[196] * vU_[88] + vU_[89] * vU_[73];
+ vU_[88] = vU_[84] * vU_[89] + vU_[73] * vU_[196] + vU_[94];
+ vU_[132] = vU_[214] * vU_[105] + vU_[137] * vU_[132];
+ vU_[121] = vU_[214] * vU_[136] + vU_[137] * vU_[121];
+ vU_[136] = vU_[132] * vU_[137] + vU_[121] * vU_[214] + vU_[142];
+ vU_[180] = vU_[223] * vU_[153] + vU_[186] * vU_[180];
+ vU_[169] = vU_[223] * vU_[185] + vU_[186] * vU_[169];
+ vU_[185] = vU_[180] * vU_[186] + vU_[169] * vU_[223] + vU_[191];
+ vU_[153] = (vU_[40] + vU_[88] + vU_[136] + vU_[185] - vU_[127] * vU_[168] - vU_[187] * vU_[227]) / vU_[175];
+ vU_[44] = 0 - vU_[44];
+ vU_[105] = 0 - vU_[205] * vU_[39] - vU_[64] * vU_[44];
+ vU_[92] = 0 - vU_[92];
+ vU_[57] = 0 - vU_[47] * vU_[87] - vU_[89] * vU_[92];
+ vU_[140] = 0 - vU_[140];
+ vU_[10] = 0 - vU_[95] * vU_[135] - vU_[137] * vU_[140];
+ vU_[189] = 0 - vU_[189];
+ vU_[120] = 0 - vU_[223] * vU_[184] - vU_[112] * vU_[189];
+ vU_[25] = vU_[46] + vU_[94] + vU_[142] + vU_[191];
+ vU_[72] = 2.0678571 + vU_[86] + vU_[38] + vU_[134] + vU_[183] - vU_[25] * vU_[36];
+ vU_[45] = 0.0053433 + vU_[207] + vU_[194] + vU_[141] + vU_[45] - vU_[72] * vU_[225] - vU_[25] * vU_[190];
+ vU_[201] = vU_[201] - vU_[71];
+ vU_[74] = vU_[74] - vU_[71];
+ vU_[210] = vU_[210] - vU_[23];
+ vU_[27] = vU_[27] - vU_[23];
+ vU_[219] = vU_[219] - vU_[119];
+ vU_[122] = vU_[122] - vU_[119];
+ vU_[228] = vU_[228] - vU_[166];
+ vU_[170] = vU_[170] - vU_[166];
+ vU_[141] = vU_[89] * vU_[54];
+ vU_[194] = (vU_[89] * vU_[74] + vU_[47] * vU_[54]) * vU_[89] + (vU_[141] + vU_[47] * vU_[201]) * vU_[47];
+ vU_[141] = vU_[196] * vU_[74] + vU_[141];
+ vU_[54] = vU_[196] * vU_[54] + vU_[89] * vU_[201];
+ vU_[207] = vU_[141] * vU_[196] + vU_[54] * vU_[89];
+ vU_[229] = vU_[205] * vU_[7];
+ vU_[218] = (vU_[64] * vU_[27] + vU_[229]) * vU_[64] + (vU_[64] * vU_[7] + vU_[205] * vU_[210]) * vU_[205];
+ vU_[7] = vU_[205] * vU_[27] + vU_[41] * vU_[7];
+ vU_[229] = vU_[229] + vU_[41] * vU_[210];
+ vU_[220] = vU_[7] * vU_[205] + vU_[229] * vU_[41];
+ vU_[209] = vU_[137] * vU_[102];
+ vU_[211] = (vU_[137] * vU_[122] + vU_[95] * vU_[102]) * vU_[137] + (vU_[209] + vU_[95] * vU_[219]) * vU_[95];
+ vU_[209] = vU_[214] * vU_[122] + vU_[209];
+ vU_[102] = vU_[214] * vU_[102] + vU_[137] * vU_[219];
+ vU_[200] = vU_[209] * vU_[214] + vU_[102] * vU_[137];
+ vU_[202] = vU_[223] * vU_[150];
+ vU_[75] = (vU_[112] * vU_[170] + vU_[202]) * vU_[112] + (vU_[112] * vU_[150] + vU_[223] * vU_[228]) * vU_[223];
+ vU_[150] = vU_[223] * vU_[170] + vU_[186] * vU_[150];
+ vU_[202] = vU_[202] + vU_[186] * vU_[228];
+ vU_[230] = vU_[150] * vU_[223] + vU_[202] * vU_[186];
+ vU_[170] = 53.433 + vU_[201] + vU_[74] + vU_[71] + vU_[210] + vU_[27] + vU_[23] + vU_[219] + vU_[122] + vU_[119] + vU_[228] + vU_[170] + vU_[166] - vU_[194] - vU_[207] - vU_[218] - vU_[220] - vU_[211] - vU_[200] - vU_[75] - vU_[230] - vU_[72] * vU_[12] - vU_[25] * vU_[231] - vU_[45] * vU_[123];
+ vU_[228] = (vU_[105] + vU_[57] + vU_[10] + vU_[120] - vU_[72] * vU_[168] - vU_[25] * vU_[227] - vU_[45] * vU_[153]) / vU_[170];
+ vU_[82] = vU_[199] * vU_[47] + vU_[82] * vU_[89] - vU_[86];
+ vU_[28] = vU_[208] * vU_[205] + vU_[28] * vU_[64] - vU_[38];
+ vU_[130] = vU_[217] * vU_[95] + vU_[130] * vU_[137] - vU_[134];
+ vU_[178] = vU_[226] * vU_[223] + vU_[178] * vU_[112] - vU_[183];
+ vU_[226] = (-2.0678571 + vU_[82] + vU_[28] + vU_[130] + vU_[178]) / vU_[181];
+ vU_[22] = vU_[22] * vU_[205] + vU_[8] * vU_[64] + vU_[46];
+ vU_[70] = vU_[70] * vU_[47] + vU_[55] * vU_[89] + vU_[94];
+ vU_[118] = vU_[118] * vU_[95] + vU_[103] * vU_[137] + vU_[142];
+ vU_[165] = vU_[165] * vU_[223] + vU_[151] * vU_[112] + vU_[191];
+ vU_[151] = (vU_[22] + vU_[70] + vU_[118] + vU_[165] - vU_[145] * vU_[226]) / vU_[171];
+ vU_[73] = vU_[73] * vU_[89] + vU_[84] * vU_[47];
+ vU_[26] = vU_[26] * vU_[64] + vU_[14] * vU_[205];
+ vU_[121] = vU_[121] * vU_[137] + vU_[132] * vU_[95];
+ vU_[169] = vU_[169] * vU_[112] + vU_[180] * vU_[223];
+ vU_[180] = (-1.1915559 + vU_[73] + vU_[26] + vU_[121] + vU_[169] - vU_[127] * vU_[151] - vU_[187] * vU_[226]) / vU_[175];
+ vU_[44] = vU_[205] * vU_[44] + vU_[41] * vU_[39];
+ vU_[92] = vU_[196] * vU_[92] + vU_[89] * vU_[87];
+ vU_[140] = vU_[214] * vU_[140] + vU_[137] * vU_[135];
+ vU_[189] = vU_[223] * vU_[189] + vU_[186] * vU_[184];
+ vU_[184] = (vU_[44] + vU_[92] + vU_[140] + vU_[189] - vU_[72] * vU_[151] - vU_[25] * vU_[226] - vU_[45] * vU_[180]) / vU_[170];
+ vU_[135] = vU_[226] + (0 - vU_[36]) * vU_[151] + (0 - vU_[17]) * vU_[180] + (0 - vU_[34]) * vU_[184];
+ vU_[229] = vU_[7] * vU_[64] + vU_[229] * vU_[205];
+ vU_[54] = vU_[141] * vU_[89] + vU_[54] * vU_[47];
+ vU_[102] = vU_[209] * vU_[137] + vU_[102] * vU_[95];
+ vU_[202] = vU_[150] * vU_[112] + vU_[202] * vU_[223];
+ vU_[178] = -2.0678571 + vU_[82] + vU_[28] + vU_[130] + vU_[178];
+ vU_[165] = vU_[22] + vU_[70] + vU_[118] + vU_[165] - vU_[178] * vU_[36];
+ vU_[169] = -1.1915559 + vU_[73] + vU_[26] + vU_[121] + vU_[169] - vU_[165] * vU_[225] - vU_[178] * vU_[190];
+ vU_[189] = vU_[44] + vU_[92] + vU_[140] + vU_[189] - vU_[165] * vU_[12] - vU_[178] * vU_[231] - vU_[169] * vU_[123];
+ vU_[75] = 53.433 + vU_[71] + vU_[194] + vU_[23] + vU_[218] + vU_[119] + vU_[211] + vU_[166] + vU_[75] - vU_[165] * vU_[151] - vU_[178] * vU_[226] - vU_[169] * vU_[180] - vU_[189] * vU_[184];
+ vU_[211] = (vU_[229] + vU_[54] + vU_[102] + vU_[202] - vU_[165] * vU_[168] - vU_[178] * vU_[227] - vU_[169] * vU_[153] - vU_[189] * vU_[228]) / vU_[75];
+ vU_[162] = -0.0053433 + vU_[66] + vU_[19] + vU_[114] + vU_[162];
+ vU_[182] = 1.1915559 + vU_[85] + vU_[37] + vU_[133] + vU_[182] - vU_[162] * vU_[36];
+ vU_[185] = vU_[40] + vU_[88] + vU_[136] + vU_[185] - vU_[182] * vU_[225] - vU_[162] * vU_[190];
+ vU_[120] = vU_[105] + vU_[57] + vU_[10] + vU_[120] - vU_[182] * vU_[12] - vU_[162] * vU_[231] - vU_[185] * vU_[123];
+ vU_[202] = vU_[229] + vU_[54] + vU_[102] + vU_[202] - vU_[182] * vU_[151] - vU_[162] * vU_[226] - vU_[185] * vU_[180] - vU_[120] * vU_[184];
+ vU_[230] = 53.433 + vU_[71] + vU_[207] + vU_[23] + vU_[220] + vU_[119] + vU_[200] + vU_[166] + vU_[230] - vU_[182] * vU_[168] - vU_[162] * vU_[227] - vU_[185] * vU_[153] - vU_[120] * vU_[228] - vU_[202] * vU_[211];
+ vU_[200] = (vU_[227] + (0 - vU_[36]) * vU_[168] + (0 - vU_[17]) * vU_[153] + (0 - vU_[34]) * vU_[228] + (0 - vU_[135]) * vU_[211]) * 1 / vU_[230];
+ vU_[135] = (vU_[135] + (0 - vU_[200]) * vU_[202]) * 1 / vU_[75];
+ vU_[34] = (vU_[34] + (0 - vU_[200]) * vU_[120] + (0 - vU_[135]) * vU_[189]) * 1 / vU_[170];
+ vU_[17] = (vU_[17] + (0 - vU_[200]) * vU_[185] + (0 - vU_[135]) * vU_[169] + (0 - vU_[34]) * vU_[45]) * 1 / vU_[175];
+ vU_[220] = vU_[34] * -1 + vU_[17] * 0.207;
+ vU_[207] = 0 - vU_[143];
+ vU_[166] = (vU_[36] + (0 - vU_[200]) * vU_[182] + (0 - vU_[135]) * vU_[165] + (0 - vU_[34]) * vU_[72] + (0 - vU_[17]) * vU_[127]) * 1 / vU_[171];
+ vU_[119] = (-1 + (0 - vU_[200]) * vU_[162] + (0 - vU_[135]) * vU_[178] + (0 - vU_[34]) * vU_[25] + (0 - vU_[17]) * vU_[187] + (0 - vU_[166]) * vU_[145]) * 1 / vU_[181];
+ vU_[23] = 0.207 * vU_[186];
+ vU_[71] = 0 - vU_[143];
+ vU_[102] = 0 - vU_[186];
+ vU_[54] = -0.3735 * vU_[186];
+ vU_[143] = 0.3735 * vU_[143];
+ vU_[229] = vU_[200] * vU_[71] + vU_[135] * vU_[102] + vU_[17] * vU_[54] + vU_[166] * vU_[143] + vU_[119] * vU_[144];
+ vU_[10] = vU_[119] * -1;
+ vU_[57] = vU_[17] * vU_[186] + vU_[166] * vU_[223];
+ vU_[105] = vU_[17] * vU_[223] + vU_[166] * vU_[112];
+ jac[18] = vU_[220] * 1 / vU_[158] * vU_[179] + (vU_[200] * vU_[186] + vU_[135] * vU_[207] + vU_[17] * vU_[224] + vU_[166] * vU_[124] + vU_[119] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[229] * 1 / vU_[158] * vU_[157] + vU_[10] * 1 / vU_[158] * vU_[158] + vU_[57] * 1 / vU_[158] * vU_[107] + vU_[105] * 1 / vU_[158] * vU_[159];
+ vU_[136] = vU_[12] + (0 - vU_[225]) * vU_[123];
+ vU_[88] = vU_[151] + (0 - vU_[225]) * vU_[180] + (0 - vU_[136]) * vU_[184];
+ vU_[40] = (vU_[168] + (0 - vU_[225]) * vU_[153] + (0 - vU_[136]) * vU_[228] + (0 - vU_[88]) * vU_[211]) * 1 / vU_[230];
+ vU_[88] = (vU_[88] + (0 - vU_[40]) * vU_[202]) * 1 / vU_[75];
+ vU_[136] = (vU_[136] + (0 - vU_[40]) * vU_[120] + (0 - vU_[88]) * vU_[189]) * 1 / vU_[170];
+ vU_[133] = (vU_[225] + (0 - vU_[40]) * vU_[185] + (0 - vU_[88]) * vU_[169] + (0 - vU_[136]) * vU_[45]) * 1 / vU_[175];
+ vU_[37] = vU_[136] * -1 + vU_[133] * 0.207;
+ vU_[85] = (-1 + (0 - vU_[40]) * vU_[182] + (0 - vU_[88]) * vU_[165] + (0 - vU_[136]) * vU_[72] + (0 - vU_[133]) * vU_[127]) * 1 / vU_[171];
+ vU_[114] = ((0 - vU_[40]) * vU_[162] + (0 - vU_[88]) * vU_[178] + (0 - vU_[136]) * vU_[25] + (0 - vU_[133]) * vU_[187] + (0 - vU_[85]) * vU_[145]) * 1 / vU_[181];
+ vU_[19] = vU_[40] * vU_[71] + vU_[88] * vU_[102] + vU_[133] * vU_[54] + vU_[85] * vU_[143] + vU_[114] * vU_[144];
+ vU_[66] = vU_[114] * -1;
+ vU_[218] = vU_[133] * vU_[186] + vU_[85] * vU_[223];
+ vU_[194] = vU_[133] * vU_[223] + vU_[85] * vU_[112];
+ jac[19] = vU_[37] * 1 / vU_[158] * vU_[179] + (vU_[40] * vU_[186] + vU_[88] * vU_[207] + vU_[133] * vU_[224] + vU_[85] * vU_[124] + vU_[114] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[19] * 1 / vU_[158] * vU_[157] + vU_[66] * 1 / vU_[158] * vU_[158] + vU_[218] * 1 / vU_[158] * vU_[107] + vU_[194] * 1 / vU_[158] * vU_[159];
+ vU_[140] = vU_[180] + (0 - vU_[123]) * vU_[184];
+ vU_[92] = (vU_[153] + (0 - vU_[123]) * vU_[228] + (0 - vU_[140]) * vU_[211]) * 1 / vU_[230];
+ vU_[140] = (vU_[140] + (0 - vU_[92]) * vU_[202]) * 1 / vU_[75];
+ vU_[44] = (vU_[123] + (0 - vU_[92]) * vU_[120] + (0 - vU_[140]) * vU_[189]) * 1 / vU_[170];
+ vU_[121] = (-1 + (0 - vU_[92]) * vU_[185] + (0 - vU_[140]) * vU_[169] + (0 - vU_[44]) * vU_[45]) * 1 / vU_[175];
+ vU_[26] = vU_[44] * -1 + vU_[121] * 0.207;
+ vU_[73] = ((0 - vU_[92]) * vU_[182] + (0 - vU_[140]) * vU_[165] + (0 - vU_[44]) * vU_[72] + (0 - vU_[121]) * vU_[127]) * 1 / vU_[171];
+ vU_[118] = ((0 - vU_[92]) * vU_[162] + (0 - vU_[140]) * vU_[178] + (0 - vU_[44]) * vU_[25] + (0 - vU_[121]) * vU_[187] + (0 - vU_[73]) * vU_[145]) * 1 / vU_[181];
+ vU_[70] = vU_[92] * vU_[71] + vU_[140] * vU_[102] + vU_[121] * vU_[54] + vU_[73] * vU_[143] + vU_[118] * vU_[144];
+ vU_[22] = vU_[118] * -1;
+ vU_[130] = vU_[121] * vU_[186] + vU_[73] * vU_[223];
+ vU_[28] = vU_[121] * vU_[223] + vU_[73] * vU_[112];
+ jac[20] = vU_[26] * 1 / vU_[158] * vU_[179] + (vU_[92] * vU_[186] + vU_[140] * vU_[207] + vU_[121] * vU_[224] + vU_[73] * vU_[124] + vU_[118] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[70] * 1 / vU_[158] * vU_[157] + vU_[22] * 1 / vU_[158] * vU_[158] + vU_[130] * 1 / vU_[158] * vU_[107] + vU_[28] * 1 / vU_[158] * vU_[159];
+ vU_[82] = (vU_[228] + (0 - vU_[184]) * vU_[211]) * 1 / vU_[230];
+ vU_[150] = (vU_[184] + (0 - vU_[82]) * vU_[202]) * 1 / vU_[75];
+ vU_[209] = (-1 + (0 - vU_[82]) * vU_[120] + (0 - vU_[150]) * vU_[189]) * 1 / vU_[170];
+ vU_[141] = ((0 - vU_[82]) * vU_[185] + (0 - vU_[150]) * vU_[169] + (0 - vU_[209]) * vU_[45]) * 1 / vU_[175];
+ vU_[7] = vU_[209] * -1 + vU_[141] * 0.207;
+ vU_[87] = ((0 - vU_[82]) * vU_[182] + (0 - vU_[150]) * vU_[165] + (0 - vU_[209]) * vU_[72] + (0 - vU_[141]) * vU_[127]) * 1 / vU_[171];
+ vU_[39] = ((0 - vU_[82]) * vU_[162] + (0 - vU_[150]) * vU_[178] + (0 - vU_[209]) * vU_[25] + (0 - vU_[141]) * vU_[187] + (0 - vU_[87]) * vU_[145]) * 1 / vU_[181];
+ vU_[132] = vU_[82] * vU_[71] + vU_[150] * vU_[102] + vU_[141] * vU_[54] + vU_[87] * vU_[143] + vU_[39] * vU_[144];
+ vU_[14] = vU_[39] * -1;
+ vU_[84] = vU_[141] * vU_[186] + vU_[87] * vU_[223];
+ vU_[191] = vU_[141] * vU_[223] + vU_[87] * vU_[112];
+ jac[21] = vU_[7] * 1 / vU_[158] * vU_[179] + (vU_[82] * vU_[186] + vU_[150] * vU_[207] + vU_[141] * vU_[224] + vU_[87] * vU_[124] + vU_[39] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[132] * 1 / vU_[158] * vU_[157] + vU_[14] * 1 / vU_[158] * vU_[158] + vU_[84] * 1 / vU_[158] * vU_[107] + vU_[191] * 1 / vU_[158] * vU_[159];
+ vU_[103] = vU_[211] * 1 / vU_[230];
+ vU_[142] = (-1 + (0 - vU_[103]) * vU_[202]) * 1 / vU_[75];
+ vU_[55] = ((0 - vU_[103]) * vU_[120] + (0 - vU_[142]) * vU_[189]) * 1 / vU_[170];
+ vU_[94] = ((0 - vU_[103]) * vU_[185] + (0 - vU_[142]) * vU_[169] + (0 - vU_[55]) * vU_[45]) * 1 / vU_[175];
+ vU_[8] = vU_[55] * -1 + vU_[94] * 0.207;
+ vU_[46] = ((0 - vU_[103]) * vU_[182] + (0 - vU_[142]) * vU_[165] + (0 - vU_[55]) * vU_[72] + (0 - vU_[94]) * vU_[127]) * 1 / vU_[171];
+ vU_[183] = ((0 - vU_[103]) * vU_[162] + (0 - vU_[142]) * vU_[178] + (0 - vU_[55]) * vU_[25] + (0 - vU_[94]) * vU_[187] + (0 - vU_[46]) * vU_[145]) * 1 / vU_[181];
+ vU_[217] = vU_[103] * vU_[71] + vU_[142] * vU_[102] + vU_[94] * vU_[54] + vU_[46] * vU_[143] + vU_[183] * vU_[144];
+ vU_[134] = vU_[183] * -1;
+ vU_[208] = vU_[94] * vU_[186] + vU_[46] * vU_[223];
+ vU_[38] = vU_[94] * vU_[223] + vU_[46] * vU_[112];
+ jac[22] = vU_[8] * 1 / vU_[158] * vU_[179] + (vU_[103] * vU_[186] + vU_[142] * vU_[207] + vU_[94] * vU_[224] + vU_[46] * vU_[124] + vU_[183] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[217] * 1 / vU_[158] * vU_[157] + vU_[134] * 1 / vU_[158] * vU_[158] + vU_[208] * 1 / vU_[158] * vU_[107] + vU_[38] * 1 / vU_[158] * vU_[159];
+ vU_[199] = -1 * 1 / vU_[230];
+ vU_[86] = (0 - vU_[199]) * vU_[202] * 1 / vU_[75];
+ vU_[122] = ((0 - vU_[199]) * vU_[120] + (0 - vU_[86]) * vU_[189]) * 1 / vU_[170];
+ vU_[219] = ((0 - vU_[199]) * vU_[185] + (0 - vU_[86]) * vU_[169] + (0 - vU_[122]) * vU_[45]) * 1 / vU_[175];
+ vU_[27] = vU_[122] * -1 + vU_[219] * 0.207;
+ vU_[210] = ((0 - vU_[199]) * vU_[182] + (0 - vU_[86]) * vU_[165] + (0 - vU_[122]) * vU_[72] + (0 - vU_[219]) * vU_[127]) * 1 / vU_[171];
+ vU_[74] = ((0 - vU_[199]) * vU_[162] + (0 - vU_[86]) * vU_[178] + (0 - vU_[122]) * vU_[25] + (0 - vU_[219]) * vU_[187] + (0 - vU_[210]) * vU_[145]) * 1 / vU_[181];
+ vU_[201] = vU_[199] * vU_[71] + vU_[86] * vU_[102] + vU_[219] * vU_[54] + vU_[210] * vU_[143] + vU_[74] * vU_[144];
+ vU_[221] = vU_[74] * -1;
+ vU_[212] = vU_[219] * vU_[186] + vU_[210] * vU_[223];
+ vU_[203] = vU_[219] * vU_[223] + vU_[210] * vU_[112];
+ jac[23] = vU_[27] * 1 / vU_[158] * vU_[179] + (vU_[199] * vU_[186] + vU_[86] * vU_[207] + vU_[219] * vU_[224] + vU_[210] * vU_[124] + vU_[74] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[201] * 1 / vU_[158] * vU_[157] + vU_[221] * 1 / vU_[158] * vU_[158] + vU_[212] * 1 / vU_[158] * vU_[107] + vU_[203] * 1 / vU_[158] * vU_[159];
+ vU_[216] = 1 / vU_[158];
+ vU_[79] = (0 - vU_[216]) * vU_[179];
+ vU_[198] = (0 - vU_[216]) * vU_[188];
+ vU_[138] = (0 - vU_[216]) * vU_[157];
+ vU_[42] = vU_[198] * vU_[23] + vU_[138] * vU_[144] + (0 - vU_[216]) * vU_[158] * -1;
+ vU_[90] = (0 - vU_[216]) * vU_[107];
+ vU_[93] = (0 - vU_[216]) * vU_[159];
+ vU_[33] = 0 - (vU_[198] * vU_[124] + vU_[138] * vU_[143] + vU_[90] * vU_[223] + vU_[93] * vU_[112]) + vU_[42] * vU_[36];
+ vU_[93] = 0 - (vU_[79] * 0.207 + vU_[198] * vU_[224] + vU_[138] * vU_[54] + vU_[90] * vU_[186] + vU_[93] * vU_[223]) + vU_[42] * vU_[190] + (0 - vU_[33]) * vU_[225];
+ vU_[79] = 0 - vU_[79] * -1 + vU_[42] * vU_[231] + (0 - vU_[33]) * vU_[12] + (0 - vU_[93]) * vU_[123];
+ vU_[90] = 0 - (vU_[198] * vU_[207] + vU_[138] * vU_[102]) + vU_[42] * vU_[226] + (0 - vU_[33]) * vU_[151] + (0 - vU_[93]) * vU_[180] + (0 - vU_[79]) * vU_[184];
+ vU_[138] = (0 - (vU_[198] * vU_[186] + vU_[138] * vU_[71]) + vU_[42] * vU_[227] + (0 - vU_[33]) * vU_[168] + (0 - vU_[93]) * vU_[153] + (0 - vU_[79]) * vU_[228] + (0 - vU_[90]) * vU_[211]) * 1 / vU_[230];
+ vU_[90] = (vU_[90] + (0 - vU_[138]) * vU_[202]) * 1 / vU_[75];
+ vU_[79] = (vU_[79] + (0 - vU_[138]) * vU_[120] + (0 - vU_[90]) * vU_[189]) * 1 / vU_[170];
+ vU_[93] = (vU_[93] + (0 - vU_[138]) * vU_[185] + (0 - vU_[90]) * vU_[169] + (0 - vU_[79]) * vU_[45]) * 1 / vU_[175];
+ vU_[198] = vU_[79] * -1 + vU_[93] * 0.207;
+ vU_[33] = (vU_[33] + (0 - vU_[138]) * vU_[182] + (0 - vU_[90]) * vU_[165] + (0 - vU_[79]) * vU_[72] + (0 - vU_[93]) * vU_[127]) * 1 / vU_[171];
+ vU_[42] = (0 - vU_[42] + (0 - vU_[138]) * vU_[162] + (0 - vU_[90]) * vU_[178] + (0 - vU_[79]) * vU_[25] + (0 - vU_[93]) * vU_[187] + (0 - vU_[33]) * vU_[145]) * 1 / vU_[181];
+ vU_[192] = vU_[138] * vU_[71] + vU_[90] * vU_[102] + vU_[93] * vU_[54] + vU_[33] * vU_[143] + vU_[42] * vU_[144];
+ vU_[222] = vU_[42] * -1;
+ vU_[2] = vU_[93] * vU_[186] + vU_[33] * vU_[223];
+ vU_[126] = vU_[93] * vU_[223] + vU_[33] * vU_[112];
+ jac[24] = vU_[216] + vU_[198] * 1 / vU_[158] * vU_[179] + (vU_[138] * vU_[186] + vU_[90] * vU_[207] + vU_[93] * vU_[224] + vU_[33] * vU_[124] + vU_[42] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[192] * 1 / vU_[158] * vU_[157] + vU_[222] * 1 / vU_[158] * vU_[158] + vU_[2] * 1 / vU_[158] * vU_[107] + vU_[126] * 1 / vU_[158] * vU_[159];
+ vU_[216] = 1 / vU_[154];
+ vU_[213] = (0 - vU_[216]) * vU_[173];
+ vU_[78] = (0 - vU_[216]) * vU_[177];
+ vU_[204] = vU_[213] * vU_[164] + vU_[78] * vU_[146];
+ vU_[149] = vU_[204] * 1 / vU_[158];
+ vU_[156] = (0 - vU_[216]) * vU_[161];
+ vU_[101] = (0 - vU_[216]) * vU_[163];
+ vU_[108] = vU_[156] * vU_[164] + vU_[101] * vU_[146] + (0 - vU_[149]) * vU_[179];
+ vU_[6] = (0 - vU_[149]) * vU_[188];
+ vU_[13] = 0 - vU_[146];
+ vU_[53] = vU_[156] * vU_[13] + vU_[101] * vU_[164] + (0 - vU_[149]) * vU_[157];
+ vU_[204] = vU_[6] * vU_[23] + vU_[53] * vU_[144] + (vU_[204] + (0 - vU_[149]) * vU_[158]) * -1;
+ vU_[60] = -0.08 * vU_[164];
+ vU_[101] = vU_[156] * vU_[60] + vU_[101] * vU_[176] + (0 - vU_[216]) * vU_[154] * -1 + (0 - vU_[149]) * vU_[107];
+ vU_[78] = vU_[213] * vU_[167] + vU_[78] * vU_[164] + (0 - vU_[149]) * vU_[159];
+ vU_[213] = 0 - (vU_[6] * vU_[124] + vU_[53] * vU_[143] + vU_[101] * vU_[223] + vU_[78] * vU_[112]) + vU_[204] * vU_[36];
+ vU_[78] = 0 - (vU_[108] * 0.207 + vU_[6] * vU_[224] + vU_[53] * vU_[54] + vU_[101] * vU_[186] + vU_[78] * vU_[223]) + vU_[204] * vU_[190] + (0 - vU_[213]) * vU_[225];
+ vU_[108] = 0 - vU_[108] * -1 + vU_[204] * vU_[231] + (0 - vU_[213]) * vU_[12] + (0 - vU_[78]) * vU_[123];
+ vU_[101] = 0 - (vU_[6] * vU_[207] + vU_[53] * vU_[102]) + vU_[204] * vU_[226] + (0 - vU_[213]) * vU_[151] + (0 - vU_[78]) * vU_[180] + (0 - vU_[108]) * vU_[184];
+ vU_[53] = (0 - (vU_[6] * vU_[186] + vU_[53] * vU_[71]) + vU_[204] * vU_[227] + (0 - vU_[213]) * vU_[168] + (0 - vU_[78]) * vU_[153] + (0 - vU_[108]) * vU_[228] + (0 - vU_[101]) * vU_[211]) * 1 / vU_[230];
+ vU_[101] = (vU_[101] + (0 - vU_[53]) * vU_[202]) * 1 / vU_[75];
+ vU_[108] = (vU_[108] + (0 - vU_[53]) * vU_[120] + (0 - vU_[101]) * vU_[189]) * 1 / vU_[170];
+ vU_[78] = (vU_[78] + (0 - vU_[53]) * vU_[185] + (0 - vU_[101]) * vU_[169] + (0 - vU_[108]) * vU_[45]) * 1 / vU_[175];
+ vU_[6] = vU_[108] * -1 + vU_[78] * 0.207;
+ vU_[213] = (vU_[213] + (0 - vU_[53]) * vU_[182] + (0 - vU_[101]) * vU_[165] + (0 - vU_[108]) * vU_[72] + (0 - vU_[78]) * vU_[127]) * 1 / vU_[171];
+ vU_[204] = (0 - vU_[204] + (0 - vU_[53]) * vU_[162] + (0 - vU_[101]) * vU_[178] + (0 - vU_[108]) * vU_[25] + (0 - vU_[78]) * vU_[187] + (0 - vU_[213]) * vU_[145]) * 1 / vU_[181];
+ vU_[156] = vU_[53] * vU_[71] + vU_[101] * vU_[102] + vU_[78] * vU_[54] + vU_[213] * vU_[143] + vU_[204] * vU_[144];
+ vU_[155] = vU_[204] * -1;
+ vU_[174] = vU_[78] * vU_[186] + vU_[213] * vU_[223];
+ vU_[160] = vU_[78] * vU_[223] + vU_[213] * vU_[112];
+ jac[25] = vU_[149] + vU_[6] * 1 / vU_[158] * vU_[179] + (vU_[53] * vU_[186] + vU_[101] * vU_[207] + vU_[78] * vU_[224] + vU_[213] * vU_[124] + vU_[204] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[156] * 1 / vU_[158] * vU_[157] + vU_[155] * 1 / vU_[158] * vU_[158] + vU_[174] * 1 / vU_[158] * vU_[107] + vU_[160] * 1 / vU_[158] * vU_[159];
+ vU_[149] = 0.35 * vU_[148];
+ vU_[172] = -1. + -4.21975478400367 * vU_[149] + 0.0168251785646079 * vU_[152];
+ vU_[232] = vU_[172] * 1 / vU_[154];
+ vU_[233] = (0 - vU_[232]) * vU_[173];
+ vU_[234] = (0 - vU_[232]) * vU_[177];
+ vU_[235] = vU_[233] * vU_[164] + vU_[234] * vU_[146];
+ vU_[236] = vU_[235] * 1 / vU_[158];
+ vU_[237] = -4.21975478400367 * vU_[148] + 0.0168251785646079 * vU_[147] + (0 - vU_[232]) * vU_[161];
+ vU_[238] = 0 - vU_[147];
+ vU_[239] = -4.21975478400367 * vU_[238] + 0.0168251785646079 * vU_[148] + (0 - vU_[232]) * vU_[163];
+ vU_[240] = vU_[237] * vU_[164] + vU_[239] * vU_[146] + (0 - vU_[236]) * vU_[179];
+ vU_[241] = (0 - vU_[236]) * vU_[188];
+ vU_[242] = vU_[237] * vU_[13] + vU_[239] * vU_[164] + (0 - vU_[236]) * vU_[157];
+ vU_[235] = vU_[241] * vU_[23] + vU_[242] * vU_[144] + (vU_[235] + (0 - vU_[236]) * vU_[158]) * -1;
+ vU_[239] = vU_[237] * vU_[60] + vU_[239] * vU_[176] + (vU_[172] + (0 - vU_[232]) * vU_[154]) * -1 + (0 - vU_[236]) * vU_[107];
+ vU_[234] = vU_[233] * vU_[167] + vU_[234] * vU_[164] + (0 - vU_[236]) * vU_[159];
+ vU_[233] = 0 - (vU_[241] * vU_[124] + vU_[242] * vU_[143] + vU_[239] * vU_[223] + vU_[234] * vU_[112]) + vU_[235] * vU_[36];
+ vU_[234] = 0 - (vU_[240] * 0.207 + vU_[241] * vU_[224] + vU_[242] * vU_[54] + vU_[239] * vU_[186] + vU_[234] * vU_[223]) + vU_[235] * vU_[190] + (0 - vU_[233]) * vU_[225];
+ vU_[240] = 0 - vU_[240] * -1 + vU_[235] * vU_[231] + (0 - vU_[233]) * vU_[12] + (0 - vU_[234]) * vU_[123];
+ vU_[239] = 0 - (vU_[241] * vU_[207] + vU_[242] * vU_[102]) + vU_[235] * vU_[226] + (0 - vU_[233]) * vU_[151] + (0 - vU_[234]) * vU_[180] + (0 - vU_[240]) * vU_[184];
+ vU_[242] = (0 - (vU_[241] * vU_[186] + vU_[242] * vU_[71]) + vU_[235] * vU_[227] + (0 - vU_[233]) * vU_[168] + (0 - vU_[234]) * vU_[153] + (0 - vU_[240]) * vU_[228] + (0 - vU_[239]) * vU_[211]) * 1 / vU_[230];
+ vU_[239] = (vU_[239] + (0 - vU_[242]) * vU_[202]) * 1 / vU_[75];
+ vU_[240] = (vU_[240] + (0 - vU_[242]) * vU_[120] + (0 - vU_[239]) * vU_[189]) * 1 / vU_[170];
+ vU_[234] = (vU_[234] + (0 - vU_[242]) * vU_[185] + (0 - vU_[239]) * vU_[169] + (0 - vU_[240]) * vU_[45]) * 1 / vU_[175];
+ vU_[241] = vU_[240] * -1 + vU_[234] * 0.207;
+ vU_[233] = (vU_[233] + (0 - vU_[242]) * vU_[182] + (0 - vU_[239]) * vU_[165] + (0 - vU_[240]) * vU_[72] + (0 - vU_[234]) * vU_[127]) * 1 / vU_[171];
+ vU_[235] = (0 - vU_[235] + (0 - vU_[242]) * vU_[162] + (0 - vU_[239]) * vU_[178] + (0 - vU_[240]) * vU_[25] + (0 - vU_[234]) * vU_[187] + (0 - vU_[233]) * vU_[145]) * 1 / vU_[181];
+ vU_[237] = vU_[242] * vU_[71] + vU_[239] * vU_[102] + vU_[234] * vU_[54] + vU_[233] * vU_[143] + vU_[235] * vU_[144];
+ vU_[172] = vU_[235] * -1;
+ vU_[243] = vU_[234] * vU_[186] + vU_[233] * vU_[223];
+ vU_[244] = vU_[234] * vU_[223] + vU_[233] * vU_[112];
+ jac[26] = vU_[236] + vU_[241] * 1 / vU_[158] * vU_[179] + (vU_[242] * vU_[186] + vU_[239] * vU_[207] + vU_[234] * vU_[224] + vU_[233] * vU_[124] + vU_[235] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[237] * 1 / vU_[158] * vU_[157] + vU_[172] * 1 / vU_[158] * vU_[158] + vU_[243] * 1 / vU_[158] * vU_[107] + vU_[244] * 1 / vU_[158] * vU_[159];
+ vU_[236] = 1 / vU_[110];
+ vU_[245] = (0 - vU_[236]) * vU_[131];
+ vU_[246] = (0 - vU_[236]) * vU_[139];
+ vU_[247] = -0.207 * vU_[137];
+ vU_[248] = (0 - vU_[236]) * vU_[109];
+ vU_[249] = (0 - vU_[236]) * vU_[110] + vU_[246] * vU_[247] + vU_[248] * vU_[96];
+ vU_[250] = 0.3735 * vU_[95];
+ vU_[251] = (0 - vU_[236]) * vU_[35];
+ vU_[252] = (0 - vU_[236]) * vU_[111];
+ vU_[253] = 0 - (vU_[246] * vU_[30] + vU_[248] * vU_[250] + vU_[251] * vU_[95] + vU_[252] * vU_[137]) + vU_[249] * vU_[36];
+ vU_[254] = 0.3735 * vU_[137];
+ vU_[252] = 0 - (vU_[245] * 0.207 + vU_[246] * vU_[215] + vU_[248] * vU_[254] + vU_[251] * vU_[137] + vU_[252] * vU_[214]) + vU_[249] * vU_[190] + (0 - vU_[253]) * vU_[225];
+ vU_[245] = 0 - vU_[245] + vU_[249] * vU_[231] + (0 - vU_[253]) * vU_[12] + (0 - vU_[252]) * vU_[123];
+ vU_[251] = 0 - vU_[95];
+ vU_[255] = 0 - (vU_[246] * vU_[95] + vU_[248] * vU_[137]) + vU_[249] * vU_[226] + (0 - vU_[253]) * vU_[151] + (0 - vU_[252]) * vU_[180] + (0 - vU_[245]) * vU_[184];
+ vU_[248] = (0 - (vU_[246] * vU_[137] + vU_[248] * vU_[251]) + vU_[249] * vU_[227] + (0 - vU_[253]) * vU_[168] + (0 - vU_[252]) * vU_[153] + (0 - vU_[245]) * vU_[228] + (0 - vU_[255]) * vU_[211]) * 1 / vU_[230];
+ vU_[255] = (vU_[255] + (0 - vU_[248]) * vU_[202]) * 1 / vU_[75];
+ vU_[245] = (vU_[245] + (0 - vU_[248]) * vU_[120] + (0 - vU_[255]) * vU_[189]) * 1 / vU_[170];
+ vU_[252] = (vU_[252] + (0 - vU_[248]) * vU_[185] + (0 - vU_[255]) * vU_[169] + (0 - vU_[245]) * vU_[45]) * 1 / vU_[175];
+ vU_[246] = vU_[245] * -1 + vU_[252] * 0.207;
+ vU_[253] = (vU_[253] + (0 - vU_[248]) * vU_[182] + (0 - vU_[255]) * vU_[165] + (0 - vU_[245]) * vU_[72] + (0 - vU_[252]) * vU_[127]) * 1 / vU_[171];
+ vU_[249] = (0 - vU_[249] + (0 - vU_[248]) * vU_[162] + (0 - vU_[255]) * vU_[178] + (0 - vU_[245]) * vU_[25] + (0 - vU_[252]) * vU_[187] + (0 - vU_[253]) * vU_[145]) * 1 / vU_[181];
+ vU_[256] = vU_[248] * vU_[71] + vU_[255] * vU_[102] + vU_[252] * vU_[54] + vU_[253] * vU_[143] + vU_[249] * vU_[144];
+ vU_[257] = vU_[249] * -1;
+ vU_[258] = vU_[252] * vU_[186] + vU_[253] * vU_[223];
+ vU_[259] = vU_[252] * vU_[223] + vU_[253] * vU_[112];
+ jac[27] = vU_[246] * 1 / vU_[158] * vU_[179] + (vU_[248] * vU_[186] + vU_[255] * vU_[207] + vU_[252] * vU_[224] + vU_[253] * vU_[124] + vU_[249] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[256] * 1 / vU_[158] * vU_[157] + vU_[257] * 1 / vU_[158] * vU_[158] + vU_[258] * 1 / vU_[158] * vU_[107] + vU_[259] * 1 / vU_[158] * vU_[159];
+ vU_[260] = 1 / vU_[106];
+ vU_[261] = (0 - vU_[260]) * vU_[113];
+ vU_[262] = 0 - vU_[116];
+ vU_[263] = (0 - vU_[260]) * vU_[115];
+ vU_[264] = 0 - vU_[97];
+ vU_[265] = (0 - vU_[260]) * vU_[125];
+ vU_[266] = (0 - vU_[260]) * vU_[129];
+ vU_[267] = vU_[265] * vU_[117] + vU_[266] * vU_[98];
+ vU_[268] = vU_[267] * 1 / vU_[110];
+ vU_[269] = vU_[261] * vU_[262] + vU_[263] * vU_[264] + (0 - vU_[268]) * vU_[131];
+ vU_[270] = (0 - vU_[268]) * vU_[139];
+ vU_[97] = 0 - vU_[97];
+ vU_[271] = vU_[261] * vU_[97] + vU_[263] * vU_[116] + (0 - vU_[268]) * vU_[109];
+ vU_[267] = vU_[267] + (0 - vU_[268]) * vU_[110] + vU_[270] * vU_[247] + vU_[271] * vU_[96];
+ vU_[272] = 0.08 * vU_[116];
+ vU_[263] = (0 - vU_[260]) * vU_[106] + vU_[261] * vU_[272] + vU_[263] * vU_[128] + (0 - vU_[268]) * vU_[35];
+ vU_[266] = vU_[265] * vU_[98] + vU_[266] * vU_[116] + (0 - vU_[268]) * vU_[111];
+ vU_[265] = 0 - (vU_[270] * vU_[30] + vU_[271] * vU_[250] + vU_[263] * vU_[95] + vU_[266] * vU_[137]) + vU_[267] * vU_[36];
+ vU_[266] = 0 - (vU_[269] * 0.207 + vU_[270] * vU_[215] + vU_[271] * vU_[254] + vU_[263] * vU_[137] + vU_[266] * vU_[214]) + vU_[267] * vU_[190] + (0 - vU_[265]) * vU_[225];
+ vU_[269] = 0 - vU_[269] + vU_[267] * vU_[231] + (0 - vU_[265]) * vU_[12] + (0 - vU_[266]) * vU_[123];
+ vU_[263] = 0 - (vU_[270] * vU_[95] + vU_[271] * vU_[137]) + vU_[267] * vU_[226] + (0 - vU_[265]) * vU_[151] + (0 - vU_[266]) * vU_[180] + (0 - vU_[269]) * vU_[184];
+ vU_[271] = (0 - (vU_[270] * vU_[137] + vU_[271] * vU_[251]) + vU_[267] * vU_[227] + (0 - vU_[265]) * vU_[168] + (0 - vU_[266]) * vU_[153] + (0 - vU_[269]) * vU_[228] + (0 - vU_[263]) * vU_[211]) * 1 / vU_[230];
+ vU_[263] = (vU_[263] + (0 - vU_[271]) * vU_[202]) * 1 / vU_[75];
+ vU_[269] = (vU_[269] + (0 - vU_[271]) * vU_[120] + (0 - vU_[263]) * vU_[189]) * 1 / vU_[170];
+ vU_[266] = (vU_[266] + (0 - vU_[271]) * vU_[185] + (0 - vU_[263]) * vU_[169] + (0 - vU_[269]) * vU_[45]) * 1 / vU_[175];
+ vU_[270] = vU_[269] * -1 + vU_[266] * 0.207;
+ vU_[265] = (vU_[265] + (0 - vU_[271]) * vU_[182] + (0 - vU_[263]) * vU_[165] + (0 - vU_[269]) * vU_[72] + (0 - vU_[266]) * vU_[127]) * 1 / vU_[171];
+ vU_[267] = (0 - vU_[267] + (0 - vU_[271]) * vU_[162] + (0 - vU_[263]) * vU_[178] + (0 - vU_[269]) * vU_[25] + (0 - vU_[266]) * vU_[187] + (0 - vU_[265]) * vU_[145]) * 1 / vU_[181];
+ vU_[261] = vU_[271] * vU_[71] + vU_[263] * vU_[102] + vU_[266] * vU_[54] + vU_[265] * vU_[143] + vU_[267] * vU_[144];
+ vU_[273] = vU_[267] * -1;
+ vU_[274] = vU_[266] * vU_[186] + vU_[265] * vU_[223];
+ vU_[275] = vU_[266] * vU_[223] + vU_[265] * vU_[112];
+ jac[28] = vU_[270] * 1 / vU_[158] * vU_[179] + (vU_[271] * vU_[186] + vU_[263] * vU_[207] + vU_[266] * vU_[224] + vU_[265] * vU_[124] + vU_[267] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[261] * 1 / vU_[158] * vU_[157] + vU_[273] * 1 / vU_[158] * vU_[158] + vU_[274] * 1 / vU_[158] * vU_[107] + vU_[275] * 1 / vU_[158] * vU_[159];
+ vU_[276] = 0.35 * vU_[100];
+ vU_[277] = -1. + -4.21975478400367 * vU_[276] + 0.0168251785646079 * vU_[104];
+ vU_[278] = vU_[277] * 1 / vU_[106];
+ vU_[279] = -4.21975478400367 * vU_[100] + 0.0168251785646079 * vU_[99] + (0 - vU_[278]) * vU_[113];
+ vU_[280] = 0 - vU_[99];
+ vU_[281] = -4.21975478400367 * vU_[280] + 0.0168251785646079 * vU_[100] + (0 - vU_[278]) * vU_[115];
+ vU_[282] = (0 - vU_[278]) * vU_[125];
+ vU_[283] = (0 - vU_[278]) * vU_[129];
+ vU_[284] = vU_[282] * vU_[117] + vU_[283] * vU_[98];
+ vU_[285] = vU_[284] * 1 / vU_[110];
+ vU_[286] = vU_[279] * vU_[262] + vU_[281] * vU_[264] + (0 - vU_[285]) * vU_[131];
+ vU_[287] = (0 - vU_[285]) * vU_[139];
+ vU_[288] = vU_[279] * vU_[97] + vU_[281] * vU_[116] + (0 - vU_[285]) * vU_[109];
+ vU_[284] = vU_[284] + (0 - vU_[285]) * vU_[110] + vU_[287] * vU_[247] + vU_[288] * vU_[96];
+ vU_[281] = vU_[277] + (0 - vU_[278]) * vU_[106] + vU_[279] * vU_[272] + vU_[281] * vU_[128] + (0 - vU_[285]) * vU_[35];
+ vU_[283] = vU_[282] * vU_[98] + vU_[283] * vU_[116] + (0 - vU_[285]) * vU_[111];
+ vU_[282] = 0 - (vU_[287] * vU_[30] + vU_[288] * vU_[250] + vU_[281] * vU_[95] + vU_[283] * vU_[137]) + vU_[284] * vU_[36];
+ vU_[283] = 0 - (vU_[286] * 0.207 + vU_[287] * vU_[215] + vU_[288] * vU_[254] + vU_[281] * vU_[137] + vU_[283] * vU_[214]) + vU_[284] * vU_[190] + (0 - vU_[282]) * vU_[225];
+ vU_[286] = 0 - vU_[286] + vU_[284] * vU_[231] + (0 - vU_[282]) * vU_[12] + (0 - vU_[283]) * vU_[123];
+ vU_[281] = 0 - (vU_[287] * vU_[95] + vU_[288] * vU_[137]) + vU_[284] * vU_[226] + (0 - vU_[282]) * vU_[151] + (0 - vU_[283]) * vU_[180] + (0 - vU_[286]) * vU_[184];
+ vU_[288] = (0 - (vU_[287] * vU_[137] + vU_[288] * vU_[251]) + vU_[284] * vU_[227] + (0 - vU_[282]) * vU_[168] + (0 - vU_[283]) * vU_[153] + (0 - vU_[286]) * vU_[228] + (0 - vU_[281]) * vU_[211]) * 1 / vU_[230];
+ vU_[281] = (vU_[281] + (0 - vU_[288]) * vU_[202]) * 1 / vU_[75];
+ vU_[286] = (vU_[286] + (0 - vU_[288]) * vU_[120] + (0 - vU_[281]) * vU_[189]) * 1 / vU_[170];
+ vU_[283] = (vU_[283] + (0 - vU_[288]) * vU_[185] + (0 - vU_[281]) * vU_[169] + (0 - vU_[286]) * vU_[45]) * 1 / vU_[175];
+ vU_[287] = vU_[286] * -1 + vU_[283] * 0.207;
+ vU_[282] = (vU_[282] + (0 - vU_[288]) * vU_[182] + (0 - vU_[281]) * vU_[165] + (0 - vU_[286]) * vU_[72] + (0 - vU_[283]) * vU_[127]) * 1 / vU_[171];
+ vU_[284] = (0 - vU_[284] + (0 - vU_[288]) * vU_[162] + (0 - vU_[281]) * vU_[178] + (0 - vU_[286]) * vU_[25] + (0 - vU_[283]) * vU_[187] + (0 - vU_[282]) * vU_[145]) * 1 / vU_[181];
+ vU_[279] = vU_[288] * vU_[71] + vU_[281] * vU_[102] + vU_[283] * vU_[54] + vU_[282] * vU_[143] + vU_[284] * vU_[144];
+ vU_[277] = vU_[284] * -1;
+ vU_[289] = vU_[283] * vU_[186] + vU_[282] * vU_[223];
+ vU_[290] = vU_[283] * vU_[223] + vU_[282] * vU_[112];
+ jac[29] = vU_[287] * 1 / vU_[158] * vU_[179] + (vU_[288] * vU_[186] + vU_[281] * vU_[207] + vU_[283] * vU_[224] + vU_[282] * vU_[124] + vU_[284] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[279] * 1 / vU_[158] * vU_[157] + vU_[277] * 1 / vU_[158] * vU_[158] + vU_[289] * 1 / vU_[158] * vU_[107] + vU_[290] * 1 / vU_[158] * vU_[159];
+ vU_[291] = 1 / vU_[15];
+ vU_[292] = (0 - vU_[291]) * vU_[31];
+ vU_[293] = (0 - vU_[291]) * vU_[43];
+ vU_[294] = 0.207 * vU_[41];
+ vU_[295] = (0 - vU_[291]) * vU_[32];
+ vU_[296] = vU_[293] * vU_[294] + vU_[295] * vU_[1] + (0 - vU_[291]) * vU_[15] * -1;
+ vU_[297] = -0.3735 * vU_[0];
+ vU_[298] = (0 - vU_[291]) * vU_[59];
+ vU_[299] = (0 - vU_[291]) * vU_[16];
+ vU_[300] = 0 - (vU_[293] * vU_[76] + vU_[295] * vU_[297] + vU_[298] * vU_[205] + vU_[299] * vU_[64]) + vU_[296] * vU_[36];
+ vU_[301] = 0.3735 * vU_[41];
+ vU_[299] = 0 - (vU_[292] * 0.207 + vU_[293] * vU_[206] + vU_[295] * vU_[301] + vU_[298] * vU_[41] + vU_[299] * vU_[205]) + vU_[296] * vU_[190] + (0 - vU_[300]) * vU_[225];
+ vU_[292] = 0 - vU_[292] * -1 + vU_[296] * vU_[231] + (0 - vU_[300]) * vU_[12] + (0 - vU_[299]) * vU_[123];
+ vU_[298] = 0 - vU_[0];
+ vU_[0] = 0 - vU_[0];
+ vU_[302] = 0 - vU_[41];
+ vU_[303] = 0 - (vU_[293] * vU_[0] + vU_[295] * vU_[302]) + vU_[296] * vU_[226] + (0 - vU_[300]) * vU_[151] + (0 - vU_[299]) * vU_[180] + (0 - vU_[292]) * vU_[184];
+ vU_[295] = (0 - (vU_[293] * vU_[41] + vU_[295] * vU_[298]) + vU_[296] * vU_[227] + (0 - vU_[300]) * vU_[168] + (0 - vU_[299]) * vU_[153] + (0 - vU_[292]) * vU_[228] + (0 - vU_[303]) * vU_[211]) * 1 / vU_[230];
+ vU_[303] = (vU_[303] + (0 - vU_[295]) * vU_[202]) * 1 / vU_[75];
+ vU_[292] = (vU_[292] + (0 - vU_[295]) * vU_[120] + (0 - vU_[303]) * vU_[189]) * 1 / vU_[170];
+ vU_[299] = (vU_[299] + (0 - vU_[295]) * vU_[185] + (0 - vU_[303]) * vU_[169] + (0 - vU_[292]) * vU_[45]) * 1 / vU_[175];
+ vU_[293] = vU_[292] * -1 + vU_[299] * 0.207;
+ vU_[300] = (vU_[300] + (0 - vU_[295]) * vU_[182] + (0 - vU_[303]) * vU_[165] + (0 - vU_[292]) * vU_[72] + (0 - vU_[299]) * vU_[127]) * 1 / vU_[171];
+ vU_[296] = (0 - vU_[296] + (0 - vU_[295]) * vU_[162] + (0 - vU_[303]) * vU_[178] + (0 - vU_[292]) * vU_[25] + (0 - vU_[299]) * vU_[187] + (0 - vU_[300]) * vU_[145]) * 1 / vU_[181];
+ vU_[304] = vU_[295] * vU_[71] + vU_[303] * vU_[102] + vU_[299] * vU_[54] + vU_[300] * vU_[143] + vU_[296] * vU_[144];
+ vU_[305] = vU_[296] * -1;
+ vU_[306] = vU_[299] * vU_[186] + vU_[300] * vU_[223];
+ vU_[307] = vU_[299] * vU_[223] + vU_[300] * vU_[112];
+ jac[30] = vU_[293] * 1 / vU_[158] * vU_[179] + (vU_[295] * vU_[186] + vU_[303] * vU_[207] + vU_[299] * vU_[224] + vU_[300] * vU_[124] + vU_[296] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[304] * 1 / vU_[158] * vU_[157] + vU_[305] * 1 / vU_[158] * vU_[158] + vU_[306] * 1 / vU_[158] * vU_[107] + vU_[307] * 1 / vU_[158] * vU_[159];
+ vU_[308] = 1 / vU_[11];
+ vU_[309] = (0 - vU_[308]) * vU_[18];
+ vU_[310] = (0 - vU_[308]) * vU_[20];
+ vU_[311] = (0 - vU_[308]) * 2.1e-05;
+ vU_[312] = (0 - vU_[308]) * -0.000102;
+ vU_[313] = vU_[311] * vU_[21] + vU_[312] * vU_[3];
+ vU_[314] = vU_[313] * 1 / vU_[15];
+ vU_[315] = vU_[309] * vU_[21] + vU_[310] * vU_[3] + (0 - vU_[314]) * vU_[31];
+ vU_[316] = (0 - vU_[314]) * vU_[43];
+ vU_[317] = 0 - vU_[3];
+ vU_[318] = vU_[309] * vU_[317] + vU_[310] * vU_[21] + (0 - vU_[314]) * vU_[32];
+ vU_[313] = vU_[316] * vU_[294] + vU_[318] * vU_[1] + (vU_[313] + (0 - vU_[314]) * vU_[15]) * -1;
+ vU_[319] = -0.08 * vU_[21];
+ vU_[310] = vU_[309] * vU_[319] + vU_[310] * vU_[29] + (0 - vU_[308]) * vU_[11] * -1 + (0 - vU_[314]) * vU_[59];
+ vU_[312] = vU_[311] * vU_[24] + vU_[312] * vU_[21] + (0 - vU_[314]) * vU_[16];
+ vU_[311] = 0 - (vU_[316] * vU_[76] + vU_[318] * vU_[297] + vU_[310] * vU_[205] + vU_[312] * vU_[64]) + vU_[313] * vU_[36];
+ vU_[312] = 0 - (vU_[315] * 0.207 + vU_[316] * vU_[206] + vU_[318] * vU_[301] + vU_[310] * vU_[41] + vU_[312] * vU_[205]) + vU_[313] * vU_[190] + (0 - vU_[311]) * vU_[225];
+ vU_[315] = 0 - vU_[315] * -1 + vU_[313] * vU_[231] + (0 - vU_[311]) * vU_[12] + (0 - vU_[312]) * vU_[123];
+ vU_[310] = 0 - (vU_[316] * vU_[0] + vU_[318] * vU_[302]) + vU_[313] * vU_[226] + (0 - vU_[311]) * vU_[151] + (0 - vU_[312]) * vU_[180] + (0 - vU_[315]) * vU_[184];
+ vU_[318] = (0 - (vU_[316] * vU_[41] + vU_[318] * vU_[298]) + vU_[313] * vU_[227] + (0 - vU_[311]) * vU_[168] + (0 - vU_[312]) * vU_[153] + (0 - vU_[315]) * vU_[228] + (0 - vU_[310]) * vU_[211]) * 1 / vU_[230];
+ vU_[310] = (vU_[310] + (0 - vU_[318]) * vU_[202]) * 1 / vU_[75];
+ vU_[315] = (vU_[315] + (0 - vU_[318]) * vU_[120] + (0 - vU_[310]) * vU_[189]) * 1 / vU_[170];
+ vU_[312] = (vU_[312] + (0 - vU_[318]) * vU_[185] + (0 - vU_[310]) * vU_[169] + (0 - vU_[315]) * vU_[45]) * 1 / vU_[175];
+ vU_[316] = vU_[315] * -1 + vU_[312] * 0.207;
+ vU_[311] = (vU_[311] + (0 - vU_[318]) * vU_[182] + (0 - vU_[310]) * vU_[165] + (0 - vU_[315]) * vU_[72] + (0 - vU_[312]) * vU_[127]) * 1 / vU_[171];
+ vU_[313] = (0 - vU_[313] + (0 - vU_[318]) * vU_[162] + (0 - vU_[310]) * vU_[178] + (0 - vU_[315]) * vU_[25] + (0 - vU_[312]) * vU_[187] + (0 - vU_[311]) * vU_[145]) * 1 / vU_[181];
+ vU_[309] = vU_[318] * vU_[71] + vU_[310] * vU_[102] + vU_[312] * vU_[54] + vU_[311] * vU_[143] + vU_[313] * vU_[144];
+ vU_[320] = vU_[313] * -1;
+ vU_[321] = vU_[312] * vU_[186] + vU_[311] * vU_[223];
+ vU_[322] = vU_[312] * vU_[223] + vU_[311] * vU_[112];
+ jac[31] = vU_[316] * 1 / vU_[158] * vU_[179] + (vU_[318] * vU_[186] + vU_[310] * vU_[207] + vU_[312] * vU_[224] + vU_[311] * vU_[124] + vU_[313] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[309] * 1 / vU_[158] * vU_[157] + vU_[320] * 1 / vU_[158] * vU_[158] + vU_[321] * 1 / vU_[158] * vU_[107] + vU_[322] * 1 / vU_[158] * vU_[159];
+ vU_[323] = 0.35 * vU_[5];
+ vU_[324] = -1. + -4.20629464115198 * vU_[323] + -0.0336503571292158 * vU_[9];
+ vU_[325] = vU_[324] * 1 / vU_[11];
+ vU_[326] = -4.20629464115198 * vU_[5] + -0.0336503571292158 * vU_[4] + (0 - vU_[325]) * vU_[18];
+ vU_[327] = 0 - vU_[4];
+ vU_[328] = -4.20629464115198 * vU_[327] + -0.0336503571292158 * vU_[5] + (0 - vU_[325]) * vU_[20];
+ vU_[329] = (0 - vU_[325]) * 2.1e-05;
+ vU_[330] = (0 - vU_[325]) * -0.000102;
+ vU_[331] = vU_[329] * vU_[21] + vU_[330] * vU_[3];
+ vU_[332] = vU_[331] * 1 / vU_[15];
+ vU_[333] = vU_[326] * vU_[21] + vU_[328] * vU_[3] + (0 - vU_[332]) * vU_[31];
+ vU_[334] = (0 - vU_[332]) * vU_[43];
+ vU_[335] = vU_[326] * vU_[317] + vU_[328] * vU_[21] + (0 - vU_[332]) * vU_[32];
+ vU_[331] = vU_[334] * vU_[294] + vU_[335] * vU_[1] + (vU_[331] + (0 - vU_[332]) * vU_[15]) * -1;
+ vU_[328] = vU_[326] * vU_[319] + vU_[328] * vU_[29] + (vU_[324] + (0 - vU_[325]) * vU_[11]) * -1 + (0 - vU_[332]) * vU_[59];
+ vU_[330] = vU_[329] * vU_[24] + vU_[330] * vU_[21] + (0 - vU_[332]) * vU_[16];
+ vU_[329] = 0 - (vU_[334] * vU_[76] + vU_[335] * vU_[297] + vU_[328] * vU_[205] + vU_[330] * vU_[64]) + vU_[331] * vU_[36];
+ vU_[330] = 0 - (vU_[333] * 0.207 + vU_[334] * vU_[206] + vU_[335] * vU_[301] + vU_[328] * vU_[41] + vU_[330] * vU_[205]) + vU_[331] * vU_[190] + (0 - vU_[329]) * vU_[225];
+ vU_[333] = 0 - vU_[333] * -1 + vU_[331] * vU_[231] + (0 - vU_[329]) * vU_[12] + (0 - vU_[330]) * vU_[123];
+ vU_[328] = 0 - (vU_[334] * vU_[0] + vU_[335] * vU_[302]) + vU_[331] * vU_[226] + (0 - vU_[329]) * vU_[151] + (0 - vU_[330]) * vU_[180] + (0 - vU_[333]) * vU_[184];
+ vU_[335] = (0 - (vU_[334] * vU_[41] + vU_[335] * vU_[298]) + vU_[331] * vU_[227] + (0 - vU_[329]) * vU_[168] + (0 - vU_[330]) * vU_[153] + (0 - vU_[333]) * vU_[228] + (0 - vU_[328]) * vU_[211]) * 1 / vU_[230];
+ vU_[328] = (vU_[328] + (0 - vU_[335]) * vU_[202]) * 1 / vU_[75];
+ vU_[333] = (vU_[333] + (0 - vU_[335]) * vU_[120] + (0 - vU_[328]) * vU_[189]) * 1 / vU_[170];
+ vU_[330] = (vU_[330] + (0 - vU_[335]) * vU_[185] + (0 - vU_[328]) * vU_[169] + (0 - vU_[333]) * vU_[45]) * 1 / vU_[175];
+ vU_[334] = vU_[333] * -1 + vU_[330] * 0.207;
+ vU_[329] = (vU_[329] + (0 - vU_[335]) * vU_[182] + (0 - vU_[328]) * vU_[165] + (0 - vU_[333]) * vU_[72] + (0 - vU_[330]) * vU_[127]) * 1 / vU_[171];
+ vU_[331] = (0 - vU_[331] + (0 - vU_[335]) * vU_[162] + (0 - vU_[328]) * vU_[178] + (0 - vU_[333]) * vU_[25] + (0 - vU_[330]) * vU_[187] + (0 - vU_[329]) * vU_[145]) * 1 / vU_[181];
+ vU_[326] = vU_[335] * vU_[71] + vU_[328] * vU_[102] + vU_[330] * vU_[54] + vU_[329] * vU_[143] + vU_[331] * vU_[144];
+ vU_[324] = vU_[331] * -1;
+ vU_[336] = vU_[330] * vU_[186] + vU_[329] * vU_[223];
+ vU_[337] = vU_[330] * vU_[223] + vU_[329] * vU_[112];
+ jac[32] = vU_[334] * 1 / vU_[158] * vU_[179] + (vU_[335] * vU_[186] + vU_[328] * vU_[207] + vU_[330] * vU_[224] + vU_[329] * vU_[124] + vU_[331] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[326] * 1 / vU_[158] * vU_[157] + vU_[324] * 1 / vU_[158] * vU_[158] + vU_[336] * 1 / vU_[158] * vU_[107] + vU_[337] * 1 / vU_[158] * vU_[159];
+ vU_[338] = 1 / vU_[62];
+ vU_[339] = (0 - vU_[338]) * vU_[83];
+ vU_[340] = (0 - vU_[338]) * vU_[91];
+ vU_[341] = -0.207 * vU_[89];
+ vU_[342] = (0 - vU_[338]) * vU_[61];
+ vU_[343] = (0 - vU_[338]) * vU_[62] + vU_[340] * vU_[341] + vU_[342] * vU_[48];
+ vU_[344] = -0.3735 * vU_[47];
+ vU_[345] = (0 - vU_[338]) * vU_[193];
+ vU_[346] = (0 - vU_[338]) * vU_[63];
+ vU_[347] = 0 - (vU_[340] * vU_[195] + vU_[342] * vU_[344] + vU_[345] * vU_[47] + vU_[346] * vU_[89]) + vU_[343] * vU_[36];
+ vU_[348] = -0.3735 * vU_[89];
+ vU_[346] = 0 - (vU_[339] * 0.207 + vU_[340] * vU_[197] + vU_[342] * vU_[348] + vU_[345] * vU_[89] + vU_[346] * vU_[196]) + vU_[343] * vU_[190] + (0 - vU_[347]) * vU_[225];
+ vU_[339] = 0 - vU_[339] + vU_[343] * vU_[231] + (0 - vU_[347]) * vU_[12] + (0 - vU_[346]) * vU_[123];
+ vU_[345] = 0 - vU_[47];
+ vU_[349] = 0 - (vU_[340] * vU_[47] + vU_[342] * vU_[89]) + vU_[343] * vU_[226] + (0 - vU_[347]) * vU_[151] + (0 - vU_[346]) * vU_[180] + (0 - vU_[339]) * vU_[184];
+ vU_[342] = (0 - (vU_[340] * vU_[89] + vU_[342] * vU_[345]) + vU_[343] * vU_[227] + (0 - vU_[347]) * vU_[168] + (0 - vU_[346]) * vU_[153] + (0 - vU_[339]) * vU_[228] + (0 - vU_[349]) * vU_[211]) * 1 / vU_[230];
+ vU_[349] = (vU_[349] + (0 - vU_[342]) * vU_[202]) * 1 / vU_[75];
+ vU_[339] = (vU_[339] + (0 - vU_[342]) * vU_[120] + (0 - vU_[349]) * vU_[189]) * 1 / vU_[170];
+ vU_[346] = (vU_[346] + (0 - vU_[342]) * vU_[185] + (0 - vU_[349]) * vU_[169] + (0 - vU_[339]) * vU_[45]) * 1 / vU_[175];
+ vU_[340] = vU_[339] * -1 + vU_[346] * 0.207;
+ vU_[347] = (vU_[347] + (0 - vU_[342]) * vU_[182] + (0 - vU_[349]) * vU_[165] + (0 - vU_[339]) * vU_[72] + (0 - vU_[346]) * vU_[127]) * 1 / vU_[171];
+ vU_[343] = (0 - vU_[343] + (0 - vU_[342]) * vU_[162] + (0 - vU_[349]) * vU_[178] + (0 - vU_[339]) * vU_[25] + (0 - vU_[346]) * vU_[187] + (0 - vU_[347]) * vU_[145]) * 1 / vU_[181];
+ vU_[350] = vU_[342] * vU_[71] + vU_[349] * vU_[102] + vU_[346] * vU_[54] + vU_[347] * vU_[143] + vU_[343] * vU_[144];
+ vU_[351] = vU_[343] * -1;
+ vU_[352] = vU_[346] * vU_[186] + vU_[347] * vU_[223];
+ vU_[353] = vU_[346] * vU_[223] + vU_[347] * vU_[112];
+ jac[33] = vU_[340] * 1 / vU_[158] * vU_[179] + (vU_[342] * vU_[186] + vU_[349] * vU_[207] + vU_[346] * vU_[224] + vU_[347] * vU_[124] + vU_[343] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[350] * 1 / vU_[158] * vU_[157] + vU_[351] * 1 / vU_[158] * vU_[158] + vU_[352] * 1 / vU_[158] * vU_[107] + vU_[353] * 1 / vU_[158] * vU_[159];
+ vU_[354] = 1 / vU_[58];
+ vU_[355] = (0 - vU_[354]) * vU_[65];
+ vU_[356] = 0 - vU_[68];
+ vU_[357] = (0 - vU_[354]) * vU_[67];
+ vU_[358] = 0 - vU_[49];
+ vU_[359] = (0 - vU_[354]) * vU_[77];
+ vU_[360] = (0 - vU_[354]) * vU_[81];
+ vU_[361] = vU_[359] * vU_[69] + vU_[360] * vU_[50];
+ vU_[362] = vU_[361] * 1 / vU_[62];
+ vU_[363] = vU_[355] * vU_[356] + vU_[357] * vU_[358] + (0 - vU_[362]) * vU_[83];
+ vU_[364] = (0 - vU_[362]) * vU_[91];
+ vU_[49] = 0 - vU_[49];
+ vU_[365] = vU_[355] * vU_[49] + vU_[357] * vU_[68] + (0 - vU_[362]) * vU_[61];
+ vU_[361] = vU_[361] + (0 - vU_[362]) * vU_[62] + vU_[364] * vU_[341] + vU_[365] * vU_[48];
+ vU_[366] = 0.08 * vU_[68];
+ vU_[357] = (0 - vU_[354]) * vU_[58] + vU_[355] * vU_[366] + vU_[357] * vU_[80] + (0 - vU_[362]) * vU_[193];
+ vU_[360] = vU_[359] * vU_[50] + vU_[360] * vU_[68] + (0 - vU_[362]) * vU_[63];
+ vU_[359] = 0 - (vU_[364] * vU_[195] + vU_[365] * vU_[344] + vU_[357] * vU_[47] + vU_[360] * vU_[89]) + vU_[361] * vU_[36];
+ vU_[360] = 0 - (vU_[363] * 0.207 + vU_[364] * vU_[197] + vU_[365] * vU_[348] + vU_[357] * vU_[89] + vU_[360] * vU_[196]) + vU_[361] * vU_[190] + (0 - vU_[359]) * vU_[225];
+ vU_[363] = 0 - vU_[363] + vU_[361] * vU_[231] + (0 - vU_[359]) * vU_[12] + (0 - vU_[360]) * vU_[123];
+ vU_[357] = 0 - (vU_[364] * vU_[47] + vU_[365] * vU_[89]) + vU_[361] * vU_[226] + (0 - vU_[359]) * vU_[151] + (0 - vU_[360]) * vU_[180] + (0 - vU_[363]) * vU_[184];
+ vU_[365] = (0 - (vU_[364] * vU_[89] + vU_[365] * vU_[345]) + vU_[361] * vU_[227] + (0 - vU_[359]) * vU_[168] + (0 - vU_[360]) * vU_[153] + (0 - vU_[363]) * vU_[228] + (0 - vU_[357]) * vU_[211]) * 1 / vU_[230];
+ vU_[357] = (vU_[357] + (0 - vU_[365]) * vU_[202]) * 1 / vU_[75];
+ vU_[363] = (vU_[363] + (0 - vU_[365]) * vU_[120] + (0 - vU_[357]) * vU_[189]) * 1 / vU_[170];
+ vU_[360] = (vU_[360] + (0 - vU_[365]) * vU_[185] + (0 - vU_[357]) * vU_[169] + (0 - vU_[363]) * vU_[45]) * 1 / vU_[175];
+ vU_[364] = vU_[363] * -1 + vU_[360] * 0.207;
+ vU_[359] = (vU_[359] + (0 - vU_[365]) * vU_[182] + (0 - vU_[357]) * vU_[165] + (0 - vU_[363]) * vU_[72] + (0 - vU_[360]) * vU_[127]) * 1 / vU_[171];
+ vU_[361] = (0 - vU_[361] + (0 - vU_[365]) * vU_[162] + (0 - vU_[357]) * vU_[178] + (0 - vU_[363]) * vU_[25] + (0 - vU_[360]) * vU_[187] + (0 - vU_[359]) * vU_[145]) * 1 / vU_[181];
+ vU_[355] = vU_[365] * vU_[71] + vU_[357] * vU_[102] + vU_[360] * vU_[54] + vU_[359] * vU_[143] + vU_[361] * vU_[144];
+ vU_[367] = vU_[361] * -1;
+ vU_[368] = vU_[360] * vU_[186] + vU_[359] * vU_[223];
+ vU_[369] = vU_[360] * vU_[223] + vU_[359] * vU_[112];
+ jac[34] = vU_[364] * 1 / vU_[158] * vU_[179] + (vU_[365] * vU_[186] + vU_[357] * vU_[207] + vU_[360] * vU_[224] + vU_[359] * vU_[124] + vU_[361] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[355] * 1 / vU_[158] * vU_[157] + vU_[367] * 1 / vU_[158] * vU_[158] + vU_[368] * 1 / vU_[158] * vU_[107] + vU_[369] * 1 / vU_[158] * vU_[159];
+ vU_[370] = 0.35 * vU_[52];
+ vU_[371] = -1. + -4.21975478400367 * vU_[370] + -0.0168251785646079 * vU_[56];
+ vU_[372] = vU_[371] * 1 / vU_[58];
+ vU_[373] = -4.21975478400367 * vU_[52] + -0.0168251785646079 * vU_[51] + (0 - vU_[372]) * vU_[65];
+ vU_[374] = 0 - vU_[51];
+ vU_[375] = -4.21975478400367 * vU_[374] + -0.0168251785646079 * vU_[52] + (0 - vU_[372]) * vU_[67];
+ vU_[376] = (0 - vU_[372]) * vU_[77];
+ vU_[377] = (0 - vU_[372]) * vU_[81];
+ vU_[378] = vU_[376] * vU_[69] + vU_[377] * vU_[50];
+ vU_[379] = vU_[378] * 1 / vU_[62];
+ vU_[380] = vU_[373] * vU_[356] + vU_[375] * vU_[358] + (0 - vU_[379]) * vU_[83];
+ vU_[381] = (0 - vU_[379]) * vU_[91];
+ vU_[382] = vU_[373] * vU_[49] + vU_[375] * vU_[68] + (0 - vU_[379]) * vU_[61];
+ vU_[378] = vU_[378] + (0 - vU_[379]) * vU_[62] + vU_[381] * vU_[341] + vU_[382] * vU_[48];
+ vU_[375] = vU_[371] + (0 - vU_[372]) * vU_[58] + vU_[373] * vU_[366] + vU_[375] * vU_[80] + (0 - vU_[379]) * vU_[193];
+ vU_[377] = vU_[376] * vU_[50] + vU_[377] * vU_[68] + (0 - vU_[379]) * vU_[63];
+ vU_[36] = 0 - (vU_[381] * vU_[195] + vU_[382] * vU_[344] + vU_[375] * vU_[47] + vU_[377] * vU_[89]) + vU_[378] * vU_[36];
+ vU_[377] = 0 - (vU_[380] * 0.207 + vU_[381] * vU_[197] + vU_[382] * vU_[348] + vU_[375] * vU_[89] + vU_[377] * vU_[196]) + vU_[378] * vU_[190] + (0 - vU_[36]) * vU_[225];
+ vU_[380] = 0 - vU_[380] + vU_[378] * vU_[231] + (0 - vU_[36]) * vU_[12] + (0 - vU_[377]) * vU_[123];
+ vU_[184] = 0 - (vU_[381] * vU_[47] + vU_[382] * vU_[89]) + vU_[378] * vU_[226] + (0 - vU_[36]) * vU_[151] + (0 - vU_[377]) * vU_[180] + (0 - vU_[380]) * vU_[184];
+ vU_[382] = (0 - (vU_[381] * vU_[89] + vU_[382] * vU_[345]) + vU_[378] * vU_[227] + (0 - vU_[36]) * vU_[168] + (0 - vU_[377]) * vU_[153] + (0 - vU_[380]) * vU_[228] + (0 - vU_[184]) * vU_[211]) * 1 / vU_[230];
+ vU_[184] = (vU_[184] + (0 - vU_[382]) * vU_[202]) * 1 / vU_[75];
+ vU_[380] = (vU_[380] + (0 - vU_[382]) * vU_[120] + (0 - vU_[184]) * vU_[189]) * 1 / vU_[170];
+ vU_[377] = (vU_[377] + (0 - vU_[382]) * vU_[185] + (0 - vU_[184]) * vU_[169] + (0 - vU_[380]) * vU_[45]) * 1 / vU_[175];
+ vU_[185] = vU_[380] * -1 + vU_[377] * 0.207;
+ vU_[36] = (vU_[36] + (0 - vU_[382]) * vU_[182] + (0 - vU_[184]) * vU_[165] + (0 - vU_[380]) * vU_[72] + (0 - vU_[377]) * vU_[127]) * 1 / vU_[171];
+ vU_[378] = (0 - vU_[378] + (0 - vU_[382]) * vU_[162] + (0 - vU_[184]) * vU_[178] + (0 - vU_[380]) * vU_[25] + (0 - vU_[377]) * vU_[187] + (0 - vU_[36]) * vU_[145]) * 1 / vU_[181];
+ vU_[143] = vU_[382] * vU_[71] + vU_[184] * vU_[102] + vU_[377] * vU_[54] + vU_[36] * vU_[143] + vU_[378] * vU_[144];
+ vU_[54] = vU_[378] * -1;
+ vU_[102] = vU_[377] * vU_[186] + vU_[36] * vU_[223];
+ vU_[223] = vU_[377] * vU_[223] + vU_[36] * vU_[112];
+ jac[35] = vU_[185] * 1 / vU_[158] * vU_[179] + (vU_[382] * vU_[186] + vU_[184] * vU_[207] + vU_[377] * vU_[224] + vU_[36] * vU_[124] + vU_[378] * vU_[23]) * 1 / vU_[158] * vU_[188] + vU_[143] * 1 / vU_[158] * vU_[157] + vU_[54] * 1 / vU_[158] * vU_[158] + vU_[102] * 1 / vU_[158] * vU_[107] + vU_[223] * 1 / vU_[158] * vU_[159];
+ vU_[23] = vU_[220] * vU_[164] + vU_[229] * vU_[13] + vU_[57] * vU_[60];
+ vU_[229] = vU_[220] * vU_[146] + vU_[229] * vU_[164] + vU_[57] * vU_[176];
+ vU_[57] = vU_[57] * -1;
+ vU_[10] = vU_[10] - jac[18];
+ jac[54] = vU_[23] * 1 / vU_[154] * vU_[161] + vU_[229] * 1 / vU_[154] * vU_[163] + vU_[57] * 1 / vU_[154] * vU_[154] + (vU_[10] * vU_[164] + vU_[105] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[10] * vU_[146] + vU_[105] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[10] = vU_[37] * vU_[164] + vU_[19] * vU_[13] + vU_[218] * vU_[60];
+ vU_[19] = vU_[37] * vU_[146] + vU_[19] * vU_[164] + vU_[218] * vU_[176];
+ vU_[218] = vU_[218] * -1;
+ vU_[66] = vU_[66] - jac[19];
+ jac[55] = vU_[10] * 1 / vU_[154] * vU_[161] + vU_[19] * 1 / vU_[154] * vU_[163] + vU_[218] * 1 / vU_[154] * vU_[154] + (vU_[66] * vU_[164] + vU_[194] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[66] * vU_[146] + vU_[194] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[66] = vU_[26] * vU_[164] + vU_[70] * vU_[13] + vU_[130] * vU_[60];
+ vU_[70] = vU_[26] * vU_[146] + vU_[70] * vU_[164] + vU_[130] * vU_[176];
+ vU_[130] = vU_[130] * -1;
+ vU_[22] = vU_[22] - jac[20];
+ jac[56] = vU_[66] * 1 / vU_[154] * vU_[161] + vU_[70] * 1 / vU_[154] * vU_[163] + vU_[130] * 1 / vU_[154] * vU_[154] + (vU_[22] * vU_[164] + vU_[28] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[22] * vU_[146] + vU_[28] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[22] = vU_[7] * vU_[164] + vU_[132] * vU_[13] + vU_[84] * vU_[60];
+ vU_[132] = vU_[7] * vU_[146] + vU_[132] * vU_[164] + vU_[84] * vU_[176];
+ vU_[84] = vU_[84] * -1;
+ vU_[14] = vU_[14] - jac[21];
+ jac[57] = vU_[22] * 1 / vU_[154] * vU_[161] + vU_[132] * 1 / vU_[154] * vU_[163] + vU_[84] * 1 / vU_[154] * vU_[154] + (vU_[14] * vU_[164] + vU_[191] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[14] * vU_[146] + vU_[191] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[14] = vU_[8] * vU_[164] + vU_[217] * vU_[13] + vU_[208] * vU_[60];
+ vU_[217] = vU_[8] * vU_[146] + vU_[217] * vU_[164] + vU_[208] * vU_[176];
+ vU_[208] = vU_[208] * -1;
+ vU_[134] = vU_[134] - jac[22];
+ jac[58] = vU_[14] * 1 / vU_[154] * vU_[161] + vU_[217] * 1 / vU_[154] * vU_[163] + vU_[208] * 1 / vU_[154] * vU_[154] + (vU_[134] * vU_[164] + vU_[38] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[134] * vU_[146] + vU_[38] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[134] = vU_[27] * vU_[164] + vU_[201] * vU_[13] + vU_[212] * vU_[60];
+ vU_[201] = vU_[27] * vU_[146] + vU_[201] * vU_[164] + vU_[212] * vU_[176];
+ vU_[212] = vU_[212] * -1;
+ vU_[221] = vU_[221] - jac[23];
+ jac[59] = vU_[134] * 1 / vU_[154] * vU_[161] + vU_[201] * 1 / vU_[154] * vU_[163] + vU_[212] * 1 / vU_[154] * vU_[154] + (vU_[221] * vU_[164] + vU_[203] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[221] * vU_[146] + vU_[203] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[221] = vU_[198] * vU_[164] + vU_[192] * vU_[13] + vU_[2] * vU_[60];
+ vU_[192] = vU_[198] * vU_[146] + vU_[192] * vU_[164] + vU_[2] * vU_[176];
+ vU_[2] = vU_[2] * -1;
+ vU_[222] = vU_[222] - jac[24];
+ jac[60] = vU_[221] * 1 / vU_[154] * vU_[161] + vU_[192] * 1 / vU_[154] * vU_[163] + vU_[2] * 1 / vU_[154] * vU_[154] + (vU_[222] * vU_[164] + vU_[126] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[222] * vU_[146] + vU_[126] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[222] = vU_[6] * vU_[164] + vU_[156] * vU_[13] + vU_[174] * vU_[60];
+ vU_[156] = vU_[6] * vU_[146] + vU_[156] * vU_[164] + vU_[174] * vU_[176];
+ vU_[174] = vU_[174] * -1;
+ vU_[155] = vU_[155] - jac[25];
+ jac[61] = vU_[216] + vU_[222] * 1 / vU_[154] * vU_[161] + vU_[156] * 1 / vU_[154] * vU_[163] + vU_[174] * 1 / vU_[154] * vU_[154] + (vU_[155] * vU_[164] + vU_[160] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[155] * vU_[146] + vU_[160] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[155] = vU_[241] * vU_[164] + vU_[237] * vU_[13] + vU_[243] * vU_[60];
+ vU_[237] = vU_[241] * vU_[146] + vU_[237] * vU_[164] + vU_[243] * vU_[176];
+ vU_[243] = vU_[243] * -1;
+ vU_[172] = vU_[172] - jac[26];
+ jac[62] = vU_[232] + vU_[155] * 1 / vU_[154] * vU_[161] + vU_[237] * 1 / vU_[154] * vU_[163] + vU_[243] * 1 / vU_[154] * vU_[154] + (vU_[172] * vU_[164] + vU_[244] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[172] * vU_[146] + vU_[244] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[172] = vU_[246] * vU_[164] + vU_[256] * vU_[13] + vU_[258] * vU_[60];
+ vU_[256] = vU_[246] * vU_[146] + vU_[256] * vU_[164] + vU_[258] * vU_[176];
+ vU_[258] = vU_[258] * -1;
+ vU_[257] = vU_[257] - jac[27];
+ jac[63] = vU_[172] * 1 / vU_[154] * vU_[161] + vU_[256] * 1 / vU_[154] * vU_[163] + vU_[258] * 1 / vU_[154] * vU_[154] + (vU_[257] * vU_[164] + vU_[259] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[257] * vU_[146] + vU_[259] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[257] = vU_[270] * vU_[164] + vU_[261] * vU_[13] + vU_[274] * vU_[60];
+ vU_[261] = vU_[270] * vU_[146] + vU_[261] * vU_[164] + vU_[274] * vU_[176];
+ vU_[274] = vU_[274] * -1;
+ vU_[273] = vU_[273] - jac[28];
+ jac[64] = vU_[257] * 1 / vU_[154] * vU_[161] + vU_[261] * 1 / vU_[154] * vU_[163] + vU_[274] * 1 / vU_[154] * vU_[154] + (vU_[273] * vU_[164] + vU_[275] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[273] * vU_[146] + vU_[275] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[273] = vU_[287] * vU_[164] + vU_[279] * vU_[13] + vU_[289] * vU_[60];
+ vU_[279] = vU_[287] * vU_[146] + vU_[279] * vU_[164] + vU_[289] * vU_[176];
+ vU_[289] = vU_[289] * -1;
+ vU_[277] = vU_[277] - jac[29];
+ jac[65] = vU_[273] * 1 / vU_[154] * vU_[161] + vU_[279] * 1 / vU_[154] * vU_[163] + vU_[289] * 1 / vU_[154] * vU_[154] + (vU_[277] * vU_[164] + vU_[290] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[277] * vU_[146] + vU_[290] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[277] = vU_[293] * vU_[164] + vU_[304] * vU_[13] + vU_[306] * vU_[60];
+ vU_[304] = vU_[293] * vU_[146] + vU_[304] * vU_[164] + vU_[306] * vU_[176];
+ vU_[306] = vU_[306] * -1;
+ vU_[305] = vU_[305] - jac[30];
+ jac[66] = vU_[277] * 1 / vU_[154] * vU_[161] + vU_[304] * 1 / vU_[154] * vU_[163] + vU_[306] * 1 / vU_[154] * vU_[154] + (vU_[305] * vU_[164] + vU_[307] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[305] * vU_[146] + vU_[307] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[305] = vU_[316] * vU_[164] + vU_[309] * vU_[13] + vU_[321] * vU_[60];
+ vU_[309] = vU_[316] * vU_[146] + vU_[309] * vU_[164] + vU_[321] * vU_[176];
+ vU_[321] = vU_[321] * -1;
+ vU_[320] = vU_[320] - jac[31];
+ jac[67] = vU_[305] * 1 / vU_[154] * vU_[161] + vU_[309] * 1 / vU_[154] * vU_[163] + vU_[321] * 1 / vU_[154] * vU_[154] + (vU_[320] * vU_[164] + vU_[322] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[320] * vU_[146] + vU_[322] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[320] = vU_[334] * vU_[164] + vU_[326] * vU_[13] + vU_[336] * vU_[60];
+ vU_[326] = vU_[334] * vU_[146] + vU_[326] * vU_[164] + vU_[336] * vU_[176];
+ vU_[336] = vU_[336] * -1;
+ vU_[324] = vU_[324] - jac[32];
+ jac[68] = vU_[320] * 1 / vU_[154] * vU_[161] + vU_[326] * 1 / vU_[154] * vU_[163] + vU_[336] * 1 / vU_[154] * vU_[154] + (vU_[324] * vU_[164] + vU_[337] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[324] * vU_[146] + vU_[337] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[324] = vU_[340] * vU_[164] + vU_[350] * vU_[13] + vU_[352] * vU_[60];
+ vU_[350] = vU_[340] * vU_[146] + vU_[350] * vU_[164] + vU_[352] * vU_[176];
+ vU_[352] = vU_[352] * -1;
+ vU_[351] = vU_[351] - jac[33];
+ jac[69] = vU_[324] * 1 / vU_[154] * vU_[161] + vU_[350] * 1 / vU_[154] * vU_[163] + vU_[352] * 1 / vU_[154] * vU_[154] + (vU_[351] * vU_[164] + vU_[353] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[351] * vU_[146] + vU_[353] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[351] = vU_[364] * vU_[164] + vU_[355] * vU_[13] + vU_[368] * vU_[60];
+ vU_[355] = vU_[364] * vU_[146] + vU_[355] * vU_[164] + vU_[368] * vU_[176];
+ vU_[368] = vU_[368] * -1;
+ vU_[367] = vU_[367] - jac[34];
+ jac[70] = vU_[351] * 1 / vU_[154] * vU_[161] + vU_[355] * 1 / vU_[154] * vU_[163] + vU_[368] * 1 / vU_[154] * vU_[154] + (vU_[367] * vU_[164] + vU_[369] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[367] * vU_[146] + vU_[369] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[60] = vU_[185] * vU_[164] + vU_[143] * vU_[13] + vU_[102] * vU_[60];
+ vU_[143] = vU_[185] * vU_[146] + vU_[143] * vU_[164] + vU_[102] * vU_[176];
+ vU_[102] = vU_[102] * -1;
+ vU_[54] = vU_[54] - jac[35];
+ jac[71] = vU_[60] * 1 / vU_[154] * vU_[161] + vU_[143] * 1 / vU_[154] * vU_[163] + vU_[102] * 1 / vU_[154] * vU_[154] + (vU_[54] * vU_[164] + vU_[223] * vU_[167]) * 1 / vU_[154] * vU_[173] + (vU_[54] * vU_[146] + vU_[223] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[57] = vU_[57] - jac[54];
+ jac[90] = (vU_[23] * vU_[148] + vU_[229] * vU_[238] + vU_[57] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[23] * vU_[147] + vU_[229] * vU_[148] + vU_[57] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[57] * 38.1956380581338 * 0.026181;
+ vU_[218] = vU_[218] - jac[55];
+ jac[91] = (vU_[10] * vU_[148] + vU_[19] * vU_[238] + vU_[218] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[10] * vU_[147] + vU_[19] * vU_[148] + vU_[218] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[218] * 38.1956380581338 * 0.026181;
+ vU_[130] = vU_[130] - jac[56];
+ jac[92] = (vU_[66] * vU_[148] + vU_[70] * vU_[238] + vU_[130] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[66] * vU_[147] + vU_[70] * vU_[148] + vU_[130] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[130] * 38.1956380581338 * 0.026181;
+ vU_[84] = vU_[84] - jac[57];
+ jac[93] = (vU_[22] * vU_[148] + vU_[132] * vU_[238] + vU_[84] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[22] * vU_[147] + vU_[132] * vU_[148] + vU_[84] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[84] * 38.1956380581338 * 0.026181;
+ vU_[208] = vU_[208] - jac[58];
+ jac[94] = (vU_[14] * vU_[148] + vU_[217] * vU_[238] + vU_[208] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[14] * vU_[147] + vU_[217] * vU_[148] + vU_[208] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[208] * 38.1956380581338 * 0.026181;
+ vU_[212] = vU_[212] - jac[59];
+ jac[95] = (vU_[134] * vU_[148] + vU_[201] * vU_[238] + vU_[212] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[134] * vU_[147] + vU_[201] * vU_[148] + vU_[212] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[212] * 38.1956380581338 * 0.026181;
+ vU_[2] = vU_[2] - jac[60];
+ jac[96] = (vU_[221] * vU_[148] + vU_[192] * vU_[238] + vU_[2] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[221] * vU_[147] + vU_[192] * vU_[148] + vU_[2] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[2] * 38.1956380581338 * 0.026181;
+ vU_[174] = vU_[174] - jac[61];
+ jac[97] = (vU_[222] * vU_[148] + vU_[156] * vU_[238] + vU_[174] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[222] * vU_[147] + vU_[156] * vU_[148] + vU_[174] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[174] * 38.1956380581338 * 0.026181;
+ vU_[243] = vU_[243] - jac[62];
+ jac[98] = 38.1956380581338 + (vU_[155] * vU_[148] + vU_[237] * vU_[238] + vU_[243] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[155] * vU_[147] + vU_[237] * vU_[148] + vU_[243] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[243] * 38.1956380581338 * 0.026181;
+ vU_[258] = vU_[258] - jac[63];
+ jac[99] = (vU_[172] * vU_[148] + vU_[256] * vU_[238] + vU_[258] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[172] * vU_[147] + vU_[256] * vU_[148] + vU_[258] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[258] * 38.1956380581338 * 0.026181;
+ vU_[274] = vU_[274] - jac[64];
+ jac[100] = (vU_[257] * vU_[148] + vU_[261] * vU_[238] + vU_[274] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[257] * vU_[147] + vU_[261] * vU_[148] + vU_[274] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[274] * 38.1956380581338 * 0.026181;
+ vU_[289] = vU_[289] - jac[65];
+ jac[101] = (vU_[273] * vU_[148] + vU_[279] * vU_[238] + vU_[289] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[273] * vU_[147] + vU_[279] * vU_[148] + vU_[289] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[289] * 38.1956380581338 * 0.026181;
+ vU_[306] = vU_[306] - jac[66];
+ jac[102] = (vU_[277] * vU_[148] + vU_[304] * vU_[238] + vU_[306] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[277] * vU_[147] + vU_[304] * vU_[148] + vU_[306] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[306] * 38.1956380581338 * 0.026181;
+ vU_[321] = vU_[321] - jac[67];
+ jac[103] = (vU_[305] * vU_[148] + vU_[309] * vU_[238] + vU_[321] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[305] * vU_[147] + vU_[309] * vU_[148] + vU_[321] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[321] * 38.1956380581338 * 0.026181;
+ vU_[336] = vU_[336] - jac[68];
+ jac[104] = (vU_[320] * vU_[148] + vU_[326] * vU_[238] + vU_[336] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[320] * vU_[147] + vU_[326] * vU_[148] + vU_[336] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[336] * 38.1956380581338 * 0.026181;
+ vU_[352] = vU_[352] - jac[69];
+ jac[105] = (vU_[324] * vU_[148] + vU_[350] * vU_[238] + vU_[352] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[324] * vU_[147] + vU_[350] * vU_[148] + vU_[352] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[352] * 38.1956380581338 * 0.026181;
+ vU_[368] = vU_[368] - jac[70];
+ jac[106] = (vU_[351] * vU_[148] + vU_[355] * vU_[238] + vU_[368] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[351] * vU_[147] + vU_[355] * vU_[148] + vU_[368] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[368] * 38.1956380581338 * 0.026181;
+ vU_[102] = vU_[102] - jac[71];
+ jac[107] = (vU_[60] * vU_[148] + vU_[143] * vU_[238] + vU_[102] * vU_[149]) * 38.1956380581338 * 0.1104774 + (vU_[60] * vU_[147] + vU_[143] * vU_[148] + vU_[102] * vU_[152]) * 38.1956380581338 * -0.0004405 + vU_[102] * 38.1956380581338 * 0.026181;
+ vU_[102] = vU_[34] + vU_[17] * 0.207;
+ vU_[143] = vU_[200] * vU_[251] + vU_[135] * vU_[137] + vU_[17] * vU_[254] + vU_[166] * vU_[250] + vU_[119] * vU_[96];
+ vU_[60] = vU_[17] * vU_[137] + vU_[166] * vU_[95];
+ vU_[238] = vU_[17] * vU_[214] + vU_[166] * vU_[137];
+ jac[126] = vU_[102] * 1 / vU_[110] * vU_[131] + (vU_[200] * vU_[137] + vU_[135] * vU_[95] + vU_[17] * vU_[215] + vU_[166] * vU_[30] + vU_[119] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[143] * 1 / vU_[110] * vU_[109] + vU_[119] * 1 / vU_[110] * vU_[110] + vU_[60] * 1 / vU_[110] * vU_[35] + vU_[238] * 1 / vU_[110] * vU_[111];
+ vU_[149] = vU_[136] + vU_[133] * 0.207;
+ vU_[152] = vU_[40] * vU_[251] + vU_[88] * vU_[137] + vU_[133] * vU_[254] + vU_[85] * vU_[250] + vU_[114] * vU_[96];
+ vU_[148] = vU_[133] * vU_[137] + vU_[85] * vU_[95];
+ vU_[147] = vU_[133] * vU_[214] + vU_[85] * vU_[137];
+ jac[127] = vU_[149] * 1 / vU_[110] * vU_[131] + (vU_[40] * vU_[137] + vU_[88] * vU_[95] + vU_[133] * vU_[215] + vU_[85] * vU_[30] + vU_[114] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[152] * 1 / vU_[110] * vU_[109] + vU_[114] * 1 / vU_[110] * vU_[110] + vU_[148] * 1 / vU_[110] * vU_[35] + vU_[147] * 1 / vU_[110] * vU_[111];
+ vU_[368] = vU_[44] + vU_[121] * 0.207;
+ vU_[355] = vU_[92] * vU_[251] + vU_[140] * vU_[137] + vU_[121] * vU_[254] + vU_[73] * vU_[250] + vU_[118] * vU_[96];
+ vU_[351] = vU_[121] * vU_[137] + vU_[73] * vU_[95];
+ vU_[352] = vU_[121] * vU_[214] + vU_[73] * vU_[137];
+ jac[128] = vU_[368] * 1 / vU_[110] * vU_[131] + (vU_[92] * vU_[137] + vU_[140] * vU_[95] + vU_[121] * vU_[215] + vU_[73] * vU_[30] + vU_[118] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[355] * 1 / vU_[110] * vU_[109] + vU_[118] * 1 / vU_[110] * vU_[110] + vU_[351] * 1 / vU_[110] * vU_[35] + vU_[352] * 1 / vU_[110] * vU_[111];
+ vU_[350] = vU_[209] + vU_[141] * 0.207;
+ vU_[324] = vU_[82] * vU_[251] + vU_[150] * vU_[137] + vU_[141] * vU_[254] + vU_[87] * vU_[250] + vU_[39] * vU_[96];
+ vU_[336] = vU_[141] * vU_[137] + vU_[87] * vU_[95];
+ vU_[326] = vU_[141] * vU_[214] + vU_[87] * vU_[137];
+ jac[129] = vU_[350] * 1 / vU_[110] * vU_[131] + (vU_[82] * vU_[137] + vU_[150] * vU_[95] + vU_[141] * vU_[215] + vU_[87] * vU_[30] + vU_[39] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[324] * 1 / vU_[110] * vU_[109] + vU_[39] * 1 / vU_[110] * vU_[110] + vU_[336] * 1 / vU_[110] * vU_[35] + vU_[326] * 1 / vU_[110] * vU_[111];
+ vU_[320] = vU_[55] + vU_[94] * 0.207;
+ vU_[321] = vU_[103] * vU_[251] + vU_[142] * vU_[137] + vU_[94] * vU_[254] + vU_[46] * vU_[250] + vU_[183] * vU_[96];
+ vU_[309] = vU_[94] * vU_[137] + vU_[46] * vU_[95];
+ vU_[305] = vU_[94] * vU_[214] + vU_[46] * vU_[137];
+ jac[130] = vU_[320] * 1 / vU_[110] * vU_[131] + (vU_[103] * vU_[137] + vU_[142] * vU_[95] + vU_[94] * vU_[215] + vU_[46] * vU_[30] + vU_[183] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[321] * 1 / vU_[110] * vU_[109] + vU_[183] * 1 / vU_[110] * vU_[110] + vU_[309] * 1 / vU_[110] * vU_[35] + vU_[305] * 1 / vU_[110] * vU_[111];
+ vU_[306] = vU_[122] + vU_[219] * 0.207;
+ vU_[304] = vU_[199] * vU_[251] + vU_[86] * vU_[137] + vU_[219] * vU_[254] + vU_[210] * vU_[250] + vU_[74] * vU_[96];
+ vU_[277] = vU_[219] * vU_[137] + vU_[210] * vU_[95];
+ vU_[289] = vU_[219] * vU_[214] + vU_[210] * vU_[137];
+ jac[131] = vU_[306] * 1 / vU_[110] * vU_[131] + (vU_[199] * vU_[137] + vU_[86] * vU_[95] + vU_[219] * vU_[215] + vU_[210] * vU_[30] + vU_[74] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[304] * 1 / vU_[110] * vU_[109] + vU_[74] * 1 / vU_[110] * vU_[110] + vU_[277] * 1 / vU_[110] * vU_[35] + vU_[289] * 1 / vU_[110] * vU_[111];
+ vU_[279] = vU_[79] + vU_[93] * 0.207;
+ vU_[273] = vU_[138] * vU_[251] + vU_[90] * vU_[137] + vU_[93] * vU_[254] + vU_[33] * vU_[250] + vU_[42] * vU_[96];
+ vU_[274] = vU_[93] * vU_[137] + vU_[33] * vU_[95];
+ vU_[261] = vU_[93] * vU_[214] + vU_[33] * vU_[137];
+ jac[132] = vU_[279] * 1 / vU_[110] * vU_[131] + (vU_[138] * vU_[137] + vU_[90] * vU_[95] + vU_[93] * vU_[215] + vU_[33] * vU_[30] + vU_[42] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[273] * 1 / vU_[110] * vU_[109] + vU_[42] * 1 / vU_[110] * vU_[110] + vU_[274] * 1 / vU_[110] * vU_[35] + vU_[261] * 1 / vU_[110] * vU_[111];
+ vU_[257] = vU_[108] + vU_[78] * 0.207;
+ vU_[258] = vU_[53] * vU_[251] + vU_[101] * vU_[137] + vU_[78] * vU_[254] + vU_[213] * vU_[250] + vU_[204] * vU_[96];
+ vU_[256] = vU_[78] * vU_[137] + vU_[213] * vU_[95];
+ vU_[172] = vU_[78] * vU_[214] + vU_[213] * vU_[137];
+ jac[133] = vU_[257] * 1 / vU_[110] * vU_[131] + (vU_[53] * vU_[137] + vU_[101] * vU_[95] + vU_[78] * vU_[215] + vU_[213] * vU_[30] + vU_[204] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[258] * 1 / vU_[110] * vU_[109] + vU_[204] * 1 / vU_[110] * vU_[110] + vU_[256] * 1 / vU_[110] * vU_[35] + vU_[172] * 1 / vU_[110] * vU_[111];
+ vU_[243] = vU_[240] + vU_[234] * 0.207;
+ vU_[237] = vU_[242] * vU_[251] + vU_[239] * vU_[137] + vU_[234] * vU_[254] + vU_[233] * vU_[250] + vU_[235] * vU_[96];
+ vU_[155] = vU_[234] * vU_[137] + vU_[233] * vU_[95];
+ vU_[174] = vU_[234] * vU_[214] + vU_[233] * vU_[137];
+ jac[134] = vU_[243] * 1 / vU_[110] * vU_[131] + (vU_[242] * vU_[137] + vU_[239] * vU_[95] + vU_[234] * vU_[215] + vU_[233] * vU_[30] + vU_[235] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[237] * 1 / vU_[110] * vU_[109] + vU_[235] * 1 / vU_[110] * vU_[110] + vU_[155] * 1 / vU_[110] * vU_[35] + vU_[174] * 1 / vU_[110] * vU_[111];
+ vU_[156] = vU_[245] + vU_[252] * 0.207;
+ vU_[222] = vU_[248] * vU_[251] + vU_[255] * vU_[137] + vU_[252] * vU_[254] + vU_[253] * vU_[250] + vU_[249] * vU_[96];
+ vU_[2] = vU_[252] * vU_[137] + vU_[253] * vU_[95];
+ vU_[192] = vU_[252] * vU_[214] + vU_[253] * vU_[137];
+ jac[135] = vU_[236] + vU_[156] * 1 / vU_[110] * vU_[131] + (vU_[248] * vU_[137] + vU_[255] * vU_[95] + vU_[252] * vU_[215] + vU_[253] * vU_[30] + vU_[249] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[222] * 1 / vU_[110] * vU_[109] + vU_[249] * 1 / vU_[110] * vU_[110] + vU_[2] * 1 / vU_[110] * vU_[35] + vU_[192] * 1 / vU_[110] * vU_[111];
+ vU_[236] = vU_[269] + vU_[266] * 0.207;
+ vU_[221] = vU_[271] * vU_[251] + vU_[263] * vU_[137] + vU_[266] * vU_[254] + vU_[265] * vU_[250] + vU_[267] * vU_[96];
+ vU_[212] = vU_[266] * vU_[137] + vU_[265] * vU_[95];
+ vU_[201] = vU_[266] * vU_[214] + vU_[265] * vU_[137];
+ jac[136] = vU_[268] + vU_[236] * 1 / vU_[110] * vU_[131] + (vU_[271] * vU_[137] + vU_[263] * vU_[95] + vU_[266] * vU_[215] + vU_[265] * vU_[30] + vU_[267] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[221] * 1 / vU_[110] * vU_[109] + vU_[267] * 1 / vU_[110] * vU_[110] + vU_[212] * 1 / vU_[110] * vU_[35] + vU_[201] * 1 / vU_[110] * vU_[111];
+ vU_[268] = vU_[286] + vU_[283] * 0.207;
+ vU_[134] = vU_[288] * vU_[251] + vU_[281] * vU_[137] + vU_[283] * vU_[254] + vU_[282] * vU_[250] + vU_[284] * vU_[96];
+ vU_[208] = vU_[283] * vU_[137] + vU_[282] * vU_[95];
+ vU_[217] = vU_[283] * vU_[214] + vU_[282] * vU_[137];
+ jac[137] = vU_[285] + vU_[268] * 1 / vU_[110] * vU_[131] + (vU_[288] * vU_[137] + vU_[281] * vU_[95] + vU_[283] * vU_[215] + vU_[282] * vU_[30] + vU_[284] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[134] * 1 / vU_[110] * vU_[109] + vU_[284] * 1 / vU_[110] * vU_[110] + vU_[208] * 1 / vU_[110] * vU_[35] + vU_[217] * 1 / vU_[110] * vU_[111];
+ vU_[285] = vU_[292] + vU_[299] * 0.207;
+ vU_[14] = vU_[295] * vU_[251] + vU_[303] * vU_[137] + vU_[299] * vU_[254] + vU_[300] * vU_[250] + vU_[296] * vU_[96];
+ vU_[84] = vU_[299] * vU_[137] + vU_[300] * vU_[95];
+ vU_[132] = vU_[299] * vU_[214] + vU_[300] * vU_[137];
+ jac[138] = vU_[285] * 1 / vU_[110] * vU_[131] + (vU_[295] * vU_[137] + vU_[303] * vU_[95] + vU_[299] * vU_[215] + vU_[300] * vU_[30] + vU_[296] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[14] * 1 / vU_[110] * vU_[109] + vU_[296] * 1 / vU_[110] * vU_[110] + vU_[84] * 1 / vU_[110] * vU_[35] + vU_[132] * 1 / vU_[110] * vU_[111];
+ vU_[22] = vU_[315] + vU_[312] * 0.207;
+ vU_[130] = vU_[318] * vU_[251] + vU_[310] * vU_[137] + vU_[312] * vU_[254] + vU_[311] * vU_[250] + vU_[313] * vU_[96];
+ vU_[70] = vU_[312] * vU_[137] + vU_[311] * vU_[95];
+ vU_[66] = vU_[312] * vU_[214] + vU_[311] * vU_[137];
+ jac[139] = vU_[22] * 1 / vU_[110] * vU_[131] + (vU_[318] * vU_[137] + vU_[310] * vU_[95] + vU_[312] * vU_[215] + vU_[311] * vU_[30] + vU_[313] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[130] * 1 / vU_[110] * vU_[109] + vU_[313] * 1 / vU_[110] * vU_[110] + vU_[70] * 1 / vU_[110] * vU_[35] + vU_[66] * 1 / vU_[110] * vU_[111];
+ vU_[218] = vU_[333] + vU_[330] * 0.207;
+ vU_[19] = vU_[335] * vU_[251] + vU_[328] * vU_[137] + vU_[330] * vU_[254] + vU_[329] * vU_[250] + vU_[331] * vU_[96];
+ vU_[10] = vU_[330] * vU_[137] + vU_[329] * vU_[95];
+ vU_[57] = vU_[330] * vU_[214] + vU_[329] * vU_[137];
+ jac[140] = vU_[218] * 1 / vU_[110] * vU_[131] + (vU_[335] * vU_[137] + vU_[328] * vU_[95] + vU_[330] * vU_[215] + vU_[329] * vU_[30] + vU_[331] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[19] * 1 / vU_[110] * vU_[109] + vU_[331] * 1 / vU_[110] * vU_[110] + vU_[10] * 1 / vU_[110] * vU_[35] + vU_[57] * 1 / vU_[110] * vU_[111];
+ vU_[229] = vU_[339] + vU_[346] * 0.207;
+ vU_[23] = vU_[342] * vU_[251] + vU_[349] * vU_[137] + vU_[346] * vU_[254] + vU_[347] * vU_[250] + vU_[343] * vU_[96];
+ vU_[54] = vU_[346] * vU_[137] + vU_[347] * vU_[95];
+ vU_[223] = vU_[346] * vU_[214] + vU_[347] * vU_[137];
+ jac[141] = vU_[229] * 1 / vU_[110] * vU_[131] + (vU_[342] * vU_[137] + vU_[349] * vU_[95] + vU_[346] * vU_[215] + vU_[347] * vU_[30] + vU_[343] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[23] * 1 / vU_[110] * vU_[109] + vU_[343] * 1 / vU_[110] * vU_[110] + vU_[54] * 1 / vU_[110] * vU_[35] + vU_[223] * 1 / vU_[110] * vU_[111];
+ vU_[173] = vU_[363] + vU_[360] * 0.207;
+ vU_[177] = vU_[365] * vU_[251] + vU_[357] * vU_[137] + vU_[360] * vU_[254] + vU_[359] * vU_[250] + vU_[361] * vU_[96];
+ vU_[167] = vU_[360] * vU_[137] + vU_[359] * vU_[95];
+ vU_[164] = vU_[360] * vU_[214] + vU_[359] * vU_[137];
+ jac[142] = vU_[173] * 1 / vU_[110] * vU_[131] + (vU_[365] * vU_[137] + vU_[357] * vU_[95] + vU_[360] * vU_[215] + vU_[359] * vU_[30] + vU_[361] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[177] * 1 / vU_[110] * vU_[109] + vU_[361] * 1 / vU_[110] * vU_[110] + vU_[167] * 1 / vU_[110] * vU_[35] + vU_[164] * 1 / vU_[110] * vU_[111];
+ vU_[154] = vU_[380] + vU_[377] * 0.207;
+ vU_[251] = vU_[382] * vU_[251] + vU_[184] * vU_[137] + vU_[377] * vU_[254] + vU_[36] * vU_[250] + vU_[378] * vU_[96];
+ vU_[254] = vU_[377] * vU_[137] + vU_[36] * vU_[95];
+ vU_[214] = vU_[377] * vU_[214] + vU_[36] * vU_[137];
+ jac[143] = vU_[154] * 1 / vU_[110] * vU_[131] + (vU_[382] * vU_[137] + vU_[184] * vU_[95] + vU_[377] * vU_[215] + vU_[36] * vU_[30] + vU_[378] * vU_[247]) * 1 / vU_[110] * vU_[139] + vU_[251] * 1 / vU_[110] * vU_[109] + vU_[378] * 1 / vU_[110] * vU_[110] + vU_[254] * 1 / vU_[110] * vU_[35] + vU_[214] * 1 / vU_[110] * vU_[111];
+ vU_[247] = vU_[102] * vU_[262] + vU_[143] * vU_[97] + vU_[60] * vU_[272];
+ vU_[143] = vU_[102] * vU_[264] + vU_[143] * vU_[116] + vU_[60] * vU_[128];
+ vU_[102] = vU_[119] - jac[126];
+ jac[162] = vU_[247] * 1 / vU_[106] * vU_[113] + vU_[143] * 1 / vU_[106] * vU_[115] + vU_[60] * 1 / vU_[106] * vU_[106] + (vU_[102] * vU_[117] + vU_[238] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[102] * vU_[98] + vU_[238] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[102] = vU_[149] * vU_[262] + vU_[152] * vU_[97] + vU_[148] * vU_[272];
+ vU_[152] = vU_[149] * vU_[264] + vU_[152] * vU_[116] + vU_[148] * vU_[128];
+ vU_[149] = vU_[114] - jac[127];
+ jac[163] = vU_[102] * 1 / vU_[106] * vU_[113] + vU_[152] * 1 / vU_[106] * vU_[115] + vU_[148] * 1 / vU_[106] * vU_[106] + (vU_[149] * vU_[117] + vU_[147] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[149] * vU_[98] + vU_[147] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[149] = vU_[368] * vU_[262] + vU_[355] * vU_[97] + vU_[351] * vU_[272];
+ vU_[355] = vU_[368] * vU_[264] + vU_[355] * vU_[116] + vU_[351] * vU_[128];
+ vU_[368] = vU_[118] - jac[128];
+ jac[164] = vU_[149] * 1 / vU_[106] * vU_[113] + vU_[355] * 1 / vU_[106] * vU_[115] + vU_[351] * 1 / vU_[106] * vU_[106] + (vU_[368] * vU_[117] + vU_[352] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[368] * vU_[98] + vU_[352] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[368] = vU_[350] * vU_[262] + vU_[324] * vU_[97] + vU_[336] * vU_[272];
+ vU_[324] = vU_[350] * vU_[264] + vU_[324] * vU_[116] + vU_[336] * vU_[128];
+ vU_[350] = vU_[39] - jac[129];
+ jac[165] = vU_[368] * 1 / vU_[106] * vU_[113] + vU_[324] * 1 / vU_[106] * vU_[115] + vU_[336] * 1 / vU_[106] * vU_[106] + (vU_[350] * vU_[117] + vU_[326] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[350] * vU_[98] + vU_[326] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[350] = vU_[320] * vU_[262] + vU_[321] * vU_[97] + vU_[309] * vU_[272];
+ vU_[321] = vU_[320] * vU_[264] + vU_[321] * vU_[116] + vU_[309] * vU_[128];
+ vU_[320] = vU_[183] - jac[130];
+ jac[166] = vU_[350] * 1 / vU_[106] * vU_[113] + vU_[321] * 1 / vU_[106] * vU_[115] + vU_[309] * 1 / vU_[106] * vU_[106] + (vU_[320] * vU_[117] + vU_[305] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[320] * vU_[98] + vU_[305] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[320] = vU_[306] * vU_[262] + vU_[304] * vU_[97] + vU_[277] * vU_[272];
+ vU_[304] = vU_[306] * vU_[264] + vU_[304] * vU_[116] + vU_[277] * vU_[128];
+ vU_[306] = vU_[74] - jac[131];
+ jac[167] = vU_[320] * 1 / vU_[106] * vU_[113] + vU_[304] * 1 / vU_[106] * vU_[115] + vU_[277] * 1 / vU_[106] * vU_[106] + (vU_[306] * vU_[117] + vU_[289] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[306] * vU_[98] + vU_[289] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[306] = vU_[279] * vU_[262] + vU_[273] * vU_[97] + vU_[274] * vU_[272];
+ vU_[273] = vU_[279] * vU_[264] + vU_[273] * vU_[116] + vU_[274] * vU_[128];
+ vU_[279] = vU_[42] - jac[132];
+ jac[168] = vU_[306] * 1 / vU_[106] * vU_[113] + vU_[273] * 1 / vU_[106] * vU_[115] + vU_[274] * 1 / vU_[106] * vU_[106] + (vU_[279] * vU_[117] + vU_[261] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[279] * vU_[98] + vU_[261] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[279] = vU_[257] * vU_[262] + vU_[258] * vU_[97] + vU_[256] * vU_[272];
+ vU_[258] = vU_[257] * vU_[264] + vU_[258] * vU_[116] + vU_[256] * vU_[128];
+ vU_[257] = vU_[204] - jac[133];
+ jac[169] = vU_[279] * 1 / vU_[106] * vU_[113] + vU_[258] * 1 / vU_[106] * vU_[115] + vU_[256] * 1 / vU_[106] * vU_[106] + (vU_[257] * vU_[117] + vU_[172] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[257] * vU_[98] + vU_[172] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[257] = vU_[243] * vU_[262] + vU_[237] * vU_[97] + vU_[155] * vU_[272];
+ vU_[237] = vU_[243] * vU_[264] + vU_[237] * vU_[116] + vU_[155] * vU_[128];
+ vU_[243] = vU_[235] - jac[134];
+ jac[170] = vU_[257] * 1 / vU_[106] * vU_[113] + vU_[237] * 1 / vU_[106] * vU_[115] + vU_[155] * 1 / vU_[106] * vU_[106] + (vU_[243] * vU_[117] + vU_[174] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[243] * vU_[98] + vU_[174] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[243] = vU_[156] * vU_[262] + vU_[222] * vU_[97] + vU_[2] * vU_[272];
+ vU_[222] = vU_[156] * vU_[264] + vU_[222] * vU_[116] + vU_[2] * vU_[128];
+ vU_[156] = vU_[249] - jac[135];
+ jac[171] = vU_[243] * 1 / vU_[106] * vU_[113] + vU_[222] * 1 / vU_[106] * vU_[115] + vU_[2] * 1 / vU_[106] * vU_[106] + (vU_[156] * vU_[117] + vU_[192] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[156] * vU_[98] + vU_[192] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[156] = vU_[236] * vU_[262] + vU_[221] * vU_[97] + vU_[212] * vU_[272];
+ vU_[221] = vU_[236] * vU_[264] + vU_[221] * vU_[116] + vU_[212] * vU_[128];
+ vU_[236] = vU_[267] - jac[136];
+ jac[172] = vU_[260] + vU_[156] * 1 / vU_[106] * vU_[113] + vU_[221] * 1 / vU_[106] * vU_[115] + vU_[212] * 1 / vU_[106] * vU_[106] + (vU_[236] * vU_[117] + vU_[201] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[236] * vU_[98] + vU_[201] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[236] = vU_[268] * vU_[262] + vU_[134] * vU_[97] + vU_[208] * vU_[272];
+ vU_[134] = vU_[268] * vU_[264] + vU_[134] * vU_[116] + vU_[208] * vU_[128];
+ vU_[268] = vU_[284] - jac[137];
+ jac[173] = vU_[278] + vU_[236] * 1 / vU_[106] * vU_[113] + vU_[134] * 1 / vU_[106] * vU_[115] + vU_[208] * 1 / vU_[106] * vU_[106] + (vU_[268] * vU_[117] + vU_[217] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[268] * vU_[98] + vU_[217] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[268] = vU_[285] * vU_[262] + vU_[14] * vU_[97] + vU_[84] * vU_[272];
+ vU_[14] = vU_[285] * vU_[264] + vU_[14] * vU_[116] + vU_[84] * vU_[128];
+ vU_[285] = vU_[296] - jac[138];
+ jac[174] = vU_[268] * 1 / vU_[106] * vU_[113] + vU_[14] * 1 / vU_[106] * vU_[115] + vU_[84] * 1 / vU_[106] * vU_[106] + (vU_[285] * vU_[117] + vU_[132] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[285] * vU_[98] + vU_[132] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[285] = vU_[22] * vU_[262] + vU_[130] * vU_[97] + vU_[70] * vU_[272];
+ vU_[130] = vU_[22] * vU_[264] + vU_[130] * vU_[116] + vU_[70] * vU_[128];
+ vU_[22] = vU_[313] - jac[139];
+ jac[175] = vU_[285] * 1 / vU_[106] * vU_[113] + vU_[130] * 1 / vU_[106] * vU_[115] + vU_[70] * 1 / vU_[106] * vU_[106] + (vU_[22] * vU_[117] + vU_[66] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[22] * vU_[98] + vU_[66] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[22] = vU_[218] * vU_[262] + vU_[19] * vU_[97] + vU_[10] * vU_[272];
+ vU_[19] = vU_[218] * vU_[264] + vU_[19] * vU_[116] + vU_[10] * vU_[128];
+ vU_[218] = vU_[331] - jac[140];
+ jac[176] = vU_[22] * 1 / vU_[106] * vU_[113] + vU_[19] * 1 / vU_[106] * vU_[115] + vU_[10] * 1 / vU_[106] * vU_[106] + (vU_[218] * vU_[117] + vU_[57] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[218] * vU_[98] + vU_[57] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[218] = vU_[229] * vU_[262] + vU_[23] * vU_[97] + vU_[54] * vU_[272];
+ vU_[23] = vU_[229] * vU_[264] + vU_[23] * vU_[116] + vU_[54] * vU_[128];
+ vU_[229] = vU_[343] - jac[141];
+ jac[177] = vU_[218] * 1 / vU_[106] * vU_[113] + vU_[23] * 1 / vU_[106] * vU_[115] + vU_[54] * 1 / vU_[106] * vU_[106] + (vU_[229] * vU_[117] + vU_[223] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[229] * vU_[98] + vU_[223] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[229] = vU_[173] * vU_[262] + vU_[177] * vU_[97] + vU_[167] * vU_[272];
+ vU_[177] = vU_[173] * vU_[264] + vU_[177] * vU_[116] + vU_[167] * vU_[128];
+ vU_[173] = vU_[361] - jac[142];
+ jac[178] = vU_[229] * 1 / vU_[106] * vU_[113] + vU_[177] * 1 / vU_[106] * vU_[115] + vU_[167] * 1 / vU_[106] * vU_[106] + (vU_[173] * vU_[117] + vU_[164] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[173] * vU_[98] + vU_[164] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[272] = vU_[154] * vU_[262] + vU_[251] * vU_[97] + vU_[254] * vU_[272];
+ vU_[251] = vU_[154] * vU_[264] + vU_[251] * vU_[116] + vU_[254] * vU_[128];
+ vU_[154] = vU_[378] - jac[143];
+ jac[179] = vU_[272] * 1 / vU_[106] * vU_[113] + vU_[251] * 1 / vU_[106] * vU_[115] + vU_[254] * 1 / vU_[106] * vU_[106] + (vU_[154] * vU_[117] + vU_[214] * vU_[98]) * 1 / vU_[106] * vU_[125] + (vU_[154] * vU_[98] + vU_[214] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[60] = vU_[60] - jac[162];
+ jac[198] = (vU_[247] * vU_[100] + vU_[143] * vU_[280] + vU_[60] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[247] * vU_[99] + vU_[143] * vU_[100] + vU_[60] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[60] * 38.1956380581338 * 0.026181;
+ vU_[148] = vU_[148] - jac[163];
+ jac[199] = (vU_[102] * vU_[100] + vU_[152] * vU_[280] + vU_[148] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[102] * vU_[99] + vU_[152] * vU_[100] + vU_[148] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[148] * 38.1956380581338 * 0.026181;
+ vU_[351] = vU_[351] - jac[164];
+ jac[200] = (vU_[149] * vU_[100] + vU_[355] * vU_[280] + vU_[351] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[149] * vU_[99] + vU_[355] * vU_[100] + vU_[351] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[351] * 38.1956380581338 * 0.026181;
+ vU_[336] = vU_[336] - jac[165];
+ jac[201] = (vU_[368] * vU_[100] + vU_[324] * vU_[280] + vU_[336] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[368] * vU_[99] + vU_[324] * vU_[100] + vU_[336] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[336] * 38.1956380581338 * 0.026181;
+ vU_[309] = vU_[309] - jac[166];
+ jac[202] = (vU_[350] * vU_[100] + vU_[321] * vU_[280] + vU_[309] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[350] * vU_[99] + vU_[321] * vU_[100] + vU_[309] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[309] * 38.1956380581338 * 0.026181;
+ vU_[277] = vU_[277] - jac[167];
+ jac[203] = (vU_[320] * vU_[100] + vU_[304] * vU_[280] + vU_[277] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[320] * vU_[99] + vU_[304] * vU_[100] + vU_[277] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[277] * 38.1956380581338 * 0.026181;
+ vU_[274] = vU_[274] - jac[168];
+ jac[204] = (vU_[306] * vU_[100] + vU_[273] * vU_[280] + vU_[274] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[306] * vU_[99] + vU_[273] * vU_[100] + vU_[274] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[274] * 38.1956380581338 * 0.026181;
+ vU_[256] = vU_[256] - jac[169];
+ jac[205] = (vU_[279] * vU_[100] + vU_[258] * vU_[280] + vU_[256] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[279] * vU_[99] + vU_[258] * vU_[100] + vU_[256] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[256] * 38.1956380581338 * 0.026181;
+ vU_[155] = vU_[155] - jac[170];
+ jac[206] = (vU_[257] * vU_[100] + vU_[237] * vU_[280] + vU_[155] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[257] * vU_[99] + vU_[237] * vU_[100] + vU_[155] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[155] * 38.1956380581338 * 0.026181;
+ vU_[2] = vU_[2] - jac[171];
+ jac[207] = (vU_[243] * vU_[100] + vU_[222] * vU_[280] + vU_[2] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[243] * vU_[99] + vU_[222] * vU_[100] + vU_[2] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[2] * 38.1956380581338 * 0.026181;
+ vU_[212] = vU_[212] - jac[172];
+ jac[208] = (vU_[156] * vU_[100] + vU_[221] * vU_[280] + vU_[212] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[156] * vU_[99] + vU_[221] * vU_[100] + vU_[212] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[212] * 38.1956380581338 * 0.026181;
+ vU_[208] = vU_[208] - jac[173];
+ jac[209] = 38.1956380581338 + (vU_[236] * vU_[100] + vU_[134] * vU_[280] + vU_[208] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[236] * vU_[99] + vU_[134] * vU_[100] + vU_[208] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[208] * 38.1956380581338 * 0.026181;
+ vU_[84] = vU_[84] - jac[174];
+ jac[210] = (vU_[268] * vU_[100] + vU_[14] * vU_[280] + vU_[84] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[268] * vU_[99] + vU_[14] * vU_[100] + vU_[84] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[84] * 38.1956380581338 * 0.026181;
+ vU_[70] = vU_[70] - jac[175];
+ jac[211] = (vU_[285] * vU_[100] + vU_[130] * vU_[280] + vU_[70] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[285] * vU_[99] + vU_[130] * vU_[100] + vU_[70] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[70] * 38.1956380581338 * 0.026181;
+ vU_[10] = vU_[10] - jac[176];
+ jac[212] = (vU_[22] * vU_[100] + vU_[19] * vU_[280] + vU_[10] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[22] * vU_[99] + vU_[19] * vU_[100] + vU_[10] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[10] * 38.1956380581338 * 0.026181;
+ vU_[54] = vU_[54] - jac[177];
+ jac[213] = (vU_[218] * vU_[100] + vU_[23] * vU_[280] + vU_[54] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[218] * vU_[99] + vU_[23] * vU_[100] + vU_[54] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[54] * 38.1956380581338 * 0.026181;
+ vU_[167] = vU_[167] - jac[178];
+ jac[214] = (vU_[229] * vU_[100] + vU_[177] * vU_[280] + vU_[167] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[229] * vU_[99] + vU_[177] * vU_[100] + vU_[167] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[167] * 38.1956380581338 * 0.026181;
+ vU_[254] = vU_[254] - jac[179];
+ jac[215] = (vU_[272] * vU_[100] + vU_[251] * vU_[280] + vU_[254] * vU_[276]) * 38.1956380581338 * 0.1104774 + (vU_[272] * vU_[99] + vU_[251] * vU_[100] + vU_[254] * vU_[104]) * 38.1956380581338 * -0.0004405 + vU_[254] * 38.1956380581338 * 0.026181;
+ vU_[254] = vU_[34] * -1 + vU_[17] * 0.207;
+ vU_[251] = vU_[200] * vU_[298] + vU_[135] * vU_[302] + vU_[17] * vU_[301] + vU_[166] * vU_[297] + vU_[119] * vU_[1];
+ vU_[272] = vU_[119] * -1;
+ vU_[280] = vU_[17] * vU_[41] + vU_[166] * vU_[205];
+ vU_[276] = vU_[17] * vU_[205] + vU_[166] * vU_[64];
+ jac[234] = vU_[254] * 1 / vU_[15] * vU_[31] + (vU_[200] * vU_[41] + vU_[135] * vU_[0] + vU_[17] * vU_[206] + vU_[166] * vU_[76] + vU_[119] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[251] * 1 / vU_[15] * vU_[32] + vU_[272] * 1 / vU_[15] * vU_[15] + vU_[280] * 1 / vU_[15] * vU_[59] + vU_[276] * 1 / vU_[15] * vU_[16];
+ vU_[104] = vU_[136] * -1 + vU_[133] * 0.207;
+ vU_[100] = vU_[40] * vU_[298] + vU_[88] * vU_[302] + vU_[133] * vU_[301] + vU_[85] * vU_[297] + vU_[114] * vU_[1];
+ vU_[99] = vU_[114] * -1;
+ vU_[167] = vU_[133] * vU_[41] + vU_[85] * vU_[205];
+ vU_[177] = vU_[133] * vU_[205] + vU_[85] * vU_[64];
+ jac[235] = vU_[104] * 1 / vU_[15] * vU_[31] + (vU_[40] * vU_[41] + vU_[88] * vU_[0] + vU_[133] * vU_[206] + vU_[85] * vU_[76] + vU_[114] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[100] * 1 / vU_[15] * vU_[32] + vU_[99] * 1 / vU_[15] * vU_[15] + vU_[167] * 1 / vU_[15] * vU_[59] + vU_[177] * 1 / vU_[15] * vU_[16];
+ vU_[229] = vU_[44] * -1 + vU_[121] * 0.207;
+ vU_[54] = vU_[92] * vU_[298] + vU_[140] * vU_[302] + vU_[121] * vU_[301] + vU_[73] * vU_[297] + vU_[118] * vU_[1];
+ vU_[23] = vU_[118] * -1;
+ vU_[218] = vU_[121] * vU_[41] + vU_[73] * vU_[205];
+ vU_[10] = vU_[121] * vU_[205] + vU_[73] * vU_[64];
+ jac[236] = vU_[229] * 1 / vU_[15] * vU_[31] + (vU_[92] * vU_[41] + vU_[140] * vU_[0] + vU_[121] * vU_[206] + vU_[73] * vU_[76] + vU_[118] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[54] * 1 / vU_[15] * vU_[32] + vU_[23] * 1 / vU_[15] * vU_[15] + vU_[218] * 1 / vU_[15] * vU_[59] + vU_[10] * 1 / vU_[15] * vU_[16];
+ vU_[19] = vU_[209] * -1 + vU_[141] * 0.207;
+ vU_[22] = vU_[82] * vU_[298] + vU_[150] * vU_[302] + vU_[141] * vU_[301] + vU_[87] * vU_[297] + vU_[39] * vU_[1];
+ vU_[70] = vU_[39] * -1;
+ vU_[130] = vU_[141] * vU_[41] + vU_[87] * vU_[205];
+ vU_[285] = vU_[141] * vU_[205] + vU_[87] * vU_[64];
+ jac[237] = vU_[19] * 1 / vU_[15] * vU_[31] + (vU_[82] * vU_[41] + vU_[150] * vU_[0] + vU_[141] * vU_[206] + vU_[87] * vU_[76] + vU_[39] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[22] * 1 / vU_[15] * vU_[32] + vU_[70] * 1 / vU_[15] * vU_[15] + vU_[130] * 1 / vU_[15] * vU_[59] + vU_[285] * 1 / vU_[15] * vU_[16];
+ vU_[84] = vU_[55] * -1 + vU_[94] * 0.207;
+ vU_[14] = vU_[103] * vU_[298] + vU_[142] * vU_[302] + vU_[94] * vU_[301] + vU_[46] * vU_[297] + vU_[183] * vU_[1];
+ vU_[268] = vU_[183] * -1;
+ vU_[208] = vU_[94] * vU_[41] + vU_[46] * vU_[205];
+ vU_[134] = vU_[94] * vU_[205] + vU_[46] * vU_[64];
+ jac[238] = vU_[84] * 1 / vU_[15] * vU_[31] + (vU_[103] * vU_[41] + vU_[142] * vU_[0] + vU_[94] * vU_[206] + vU_[46] * vU_[76] + vU_[183] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[14] * 1 / vU_[15] * vU_[32] + vU_[268] * 1 / vU_[15] * vU_[15] + vU_[208] * 1 / vU_[15] * vU_[59] + vU_[134] * 1 / vU_[15] * vU_[16];
+ vU_[236] = vU_[122] * -1 + vU_[219] * 0.207;
+ vU_[212] = vU_[199] * vU_[298] + vU_[86] * vU_[302] + vU_[219] * vU_[301] + vU_[210] * vU_[297] + vU_[74] * vU_[1];
+ vU_[221] = vU_[74] * -1;
+ vU_[156] = vU_[219] * vU_[41] + vU_[210] * vU_[205];
+ vU_[2] = vU_[219] * vU_[205] + vU_[210] * vU_[64];
+ jac[239] = vU_[236] * 1 / vU_[15] * vU_[31] + (vU_[199] * vU_[41] + vU_[86] * vU_[0] + vU_[219] * vU_[206] + vU_[210] * vU_[76] + vU_[74] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[212] * 1 / vU_[15] * vU_[32] + vU_[221] * 1 / vU_[15] * vU_[15] + vU_[156] * 1 / vU_[15] * vU_[59] + vU_[2] * 1 / vU_[15] * vU_[16];
+ vU_[222] = vU_[79] * -1 + vU_[93] * 0.207;
+ vU_[243] = vU_[138] * vU_[298] + vU_[90] * vU_[302] + vU_[93] * vU_[301] + vU_[33] * vU_[297] + vU_[42] * vU_[1];
+ vU_[155] = vU_[42] * -1;
+ vU_[237] = vU_[93] * vU_[41] + vU_[33] * vU_[205];
+ vU_[257] = vU_[93] * vU_[205] + vU_[33] * vU_[64];
+ jac[240] = vU_[222] * 1 / vU_[15] * vU_[31] + (vU_[138] * vU_[41] + vU_[90] * vU_[0] + vU_[93] * vU_[206] + vU_[33] * vU_[76] + vU_[42] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[243] * 1 / vU_[15] * vU_[32] + vU_[155] * 1 / vU_[15] * vU_[15] + vU_[237] * 1 / vU_[15] * vU_[59] + vU_[257] * 1 / vU_[15] * vU_[16];
+ vU_[256] = vU_[108] * -1 + vU_[78] * 0.207;
+ vU_[258] = vU_[53] * vU_[298] + vU_[101] * vU_[302] + vU_[78] * vU_[301] + vU_[213] * vU_[297] + vU_[204] * vU_[1];
+ vU_[279] = vU_[204] * -1;
+ vU_[274] = vU_[78] * vU_[41] + vU_[213] * vU_[205];
+ vU_[273] = vU_[78] * vU_[205] + vU_[213] * vU_[64];
+ jac[241] = vU_[256] * 1 / vU_[15] * vU_[31] + (vU_[53] * vU_[41] + vU_[101] * vU_[0] + vU_[78] * vU_[206] + vU_[213] * vU_[76] + vU_[204] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[258] * 1 / vU_[15] * vU_[32] + vU_[279] * 1 / vU_[15] * vU_[15] + vU_[274] * 1 / vU_[15] * vU_[59] + vU_[273] * 1 / vU_[15] * vU_[16];
+ vU_[306] = vU_[240] * -1 + vU_[234] * 0.207;
+ vU_[277] = vU_[242] * vU_[298] + vU_[239] * vU_[302] + vU_[234] * vU_[301] + vU_[233] * vU_[297] + vU_[235] * vU_[1];
+ vU_[304] = vU_[235] * -1;
+ vU_[320] = vU_[234] * vU_[41] + vU_[233] * vU_[205];
+ vU_[309] = vU_[234] * vU_[205] + vU_[233] * vU_[64];
+ jac[242] = vU_[306] * 1 / vU_[15] * vU_[31] + (vU_[242] * vU_[41] + vU_[239] * vU_[0] + vU_[234] * vU_[206] + vU_[233] * vU_[76] + vU_[235] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[277] * 1 / vU_[15] * vU_[32] + vU_[304] * 1 / vU_[15] * vU_[15] + vU_[320] * 1 / vU_[15] * vU_[59] + vU_[309] * 1 / vU_[15] * vU_[16];
+ vU_[321] = vU_[245] * -1 + vU_[252] * 0.207;
+ vU_[350] = vU_[248] * vU_[298] + vU_[255] * vU_[302] + vU_[252] * vU_[301] + vU_[253] * vU_[297] + vU_[249] * vU_[1];
+ vU_[336] = vU_[249] * -1;
+ vU_[324] = vU_[252] * vU_[41] + vU_[253] * vU_[205];
+ vU_[368] = vU_[252] * vU_[205] + vU_[253] * vU_[64];
+ jac[243] = vU_[321] * 1 / vU_[15] * vU_[31] + (vU_[248] * vU_[41] + vU_[255] * vU_[0] + vU_[252] * vU_[206] + vU_[253] * vU_[76] + vU_[249] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[350] * 1 / vU_[15] * vU_[32] + vU_[336] * 1 / vU_[15] * vU_[15] + vU_[324] * 1 / vU_[15] * vU_[59] + vU_[368] * 1 / vU_[15] * vU_[16];
+ vU_[351] = vU_[269] * -1 + vU_[266] * 0.207;
+ vU_[355] = vU_[271] * vU_[298] + vU_[263] * vU_[302] + vU_[266] * vU_[301] + vU_[265] * vU_[297] + vU_[267] * vU_[1];
+ vU_[149] = vU_[267] * -1;
+ vU_[148] = vU_[266] * vU_[41] + vU_[265] * vU_[205];
+ vU_[152] = vU_[266] * vU_[205] + vU_[265] * vU_[64];
+ jac[244] = vU_[351] * 1 / vU_[15] * vU_[31] + (vU_[271] * vU_[41] + vU_[263] * vU_[0] + vU_[266] * vU_[206] + vU_[265] * vU_[76] + vU_[267] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[355] * 1 / vU_[15] * vU_[32] + vU_[149] * 1 / vU_[15] * vU_[15] + vU_[148] * 1 / vU_[15] * vU_[59] + vU_[152] * 1 / vU_[15] * vU_[16];
+ vU_[102] = vU_[286] * -1 + vU_[283] * 0.207;
+ vU_[60] = vU_[288] * vU_[298] + vU_[281] * vU_[302] + vU_[283] * vU_[301] + vU_[282] * vU_[297] + vU_[284] * vU_[1];
+ vU_[143] = vU_[284] * -1;
+ vU_[247] = vU_[283] * vU_[41] + vU_[282] * vU_[205];
+ vU_[154] = vU_[283] * vU_[205] + vU_[282] * vU_[64];
+ jac[245] = vU_[102] * 1 / vU_[15] * vU_[31] + (vU_[288] * vU_[41] + vU_[281] * vU_[0] + vU_[283] * vU_[206] + vU_[282] * vU_[76] + vU_[284] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[60] * 1 / vU_[15] * vU_[32] + vU_[143] * 1 / vU_[15] * vU_[15] + vU_[247] * 1 / vU_[15] * vU_[59] + vU_[154] * 1 / vU_[15] * vU_[16];
+ vU_[214] = vU_[292] * -1 + vU_[299] * 0.207;
+ vU_[125] = vU_[295] * vU_[298] + vU_[303] * vU_[302] + vU_[299] * vU_[301] + vU_[300] * vU_[297] + vU_[296] * vU_[1];
+ vU_[129] = vU_[296] * -1;
+ vU_[117] = vU_[299] * vU_[41] + vU_[300] * vU_[205];
+ vU_[116] = vU_[299] * vU_[205] + vU_[300] * vU_[64];
+ jac[246] = vU_[291] + vU_[214] * 1 / vU_[15] * vU_[31] + (vU_[295] * vU_[41] + vU_[303] * vU_[0] + vU_[299] * vU_[206] + vU_[300] * vU_[76] + vU_[296] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[125] * 1 / vU_[15] * vU_[32] + vU_[129] * 1 / vU_[15] * vU_[15] + vU_[117] * 1 / vU_[15] * vU_[59] + vU_[116] * 1 / vU_[15] * vU_[16];
+ vU_[291] = vU_[315] * -1 + vU_[312] * 0.207;
+ vU_[106] = vU_[318] * vU_[298] + vU_[310] * vU_[302] + vU_[312] * vU_[301] + vU_[311] * vU_[297] + vU_[313] * vU_[1];
+ vU_[113] = vU_[313] * -1;
+ vU_[115] = vU_[312] * vU_[41] + vU_[311] * vU_[205];
+ vU_[98] = vU_[312] * vU_[205] + vU_[311] * vU_[64];
+ jac[247] = vU_[314] + vU_[291] * 1 / vU_[15] * vU_[31] + (vU_[318] * vU_[41] + vU_[310] * vU_[0] + vU_[312] * vU_[206] + vU_[311] * vU_[76] + vU_[313] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[106] * 1 / vU_[15] * vU_[32] + vU_[113] * 1 / vU_[15] * vU_[15] + vU_[115] * 1 / vU_[15] * vU_[59] + vU_[98] * 1 / vU_[15] * vU_[16];
+ vU_[314] = vU_[333] * -1 + vU_[330] * 0.207;
+ vU_[264] = vU_[335] * vU_[298] + vU_[328] * vU_[302] + vU_[330] * vU_[301] + vU_[329] * vU_[297] + vU_[331] * vU_[1];
+ vU_[128] = vU_[331] * -1;
+ vU_[97] = vU_[330] * vU_[41] + vU_[329] * vU_[205];
+ vU_[262] = vU_[330] * vU_[205] + vU_[329] * vU_[64];
+ jac[248] = vU_[332] + vU_[314] * 1 / vU_[15] * vU_[31] + (vU_[335] * vU_[41] + vU_[328] * vU_[0] + vU_[330] * vU_[206] + vU_[329] * vU_[76] + vU_[331] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[264] * 1 / vU_[15] * vU_[32] + vU_[128] * 1 / vU_[15] * vU_[15] + vU_[97] * 1 / vU_[15] * vU_[59] + vU_[262] * 1 / vU_[15] * vU_[16];
+ vU_[332] = vU_[339] * -1 + vU_[346] * 0.207;
+ vU_[173] = vU_[342] * vU_[298] + vU_[349] * vU_[302] + vU_[346] * vU_[301] + vU_[347] * vU_[297] + vU_[343] * vU_[1];
+ vU_[164] = vU_[343] * -1;
+ vU_[223] = vU_[346] * vU_[41] + vU_[347] * vU_[205];
+ vU_[57] = vU_[346] * vU_[205] + vU_[347] * vU_[64];
+ jac[249] = vU_[332] * 1 / vU_[15] * vU_[31] + (vU_[342] * vU_[41] + vU_[349] * vU_[0] + vU_[346] * vU_[206] + vU_[347] * vU_[76] + vU_[343] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[173] * 1 / vU_[15] * vU_[32] + vU_[164] * 1 / vU_[15] * vU_[15] + vU_[223] * 1 / vU_[15] * vU_[59] + vU_[57] * 1 / vU_[15] * vU_[16];
+ vU_[66] = vU_[363] * -1 + vU_[360] * 0.207;
+ vU_[132] = vU_[365] * vU_[298] + vU_[357] * vU_[302] + vU_[360] * vU_[301] + vU_[359] * vU_[297] + vU_[361] * vU_[1];
+ vU_[217] = vU_[361] * -1;
+ vU_[278] = vU_[360] * vU_[41] + vU_[359] * vU_[205];
+ vU_[201] = vU_[360] * vU_[205] + vU_[359] * vU_[64];
+ jac[250] = vU_[66] * 1 / vU_[15] * vU_[31] + (vU_[365] * vU_[41] + vU_[357] * vU_[0] + vU_[360] * vU_[206] + vU_[359] * vU_[76] + vU_[361] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[132] * 1 / vU_[15] * vU_[32] + vU_[217] * 1 / vU_[15] * vU_[15] + vU_[278] * 1 / vU_[15] * vU_[59] + vU_[201] * 1 / vU_[15] * vU_[16];
+ vU_[260] = vU_[380] * -1 + vU_[377] * 0.207;
+ vU_[302] = vU_[382] * vU_[298] + vU_[184] * vU_[302] + vU_[377] * vU_[301] + vU_[36] * vU_[297] + vU_[378] * vU_[1];
+ vU_[298] = vU_[378] * -1;
+ vU_[301] = vU_[377] * vU_[41] + vU_[36] * vU_[205];
+ vU_[205] = vU_[377] * vU_[205] + vU_[36] * vU_[64];
+ jac[251] = vU_[260] * 1 / vU_[15] * vU_[31] + (vU_[382] * vU_[41] + vU_[184] * vU_[0] + vU_[377] * vU_[206] + vU_[36] * vU_[76] + vU_[378] * vU_[294]) * 1 / vU_[15] * vU_[43] + vU_[302] * 1 / vU_[15] * vU_[32] + vU_[298] * 1 / vU_[15] * vU_[15] + vU_[301] * 1 / vU_[15] * vU_[59] + vU_[205] * 1 / vU_[15] * vU_[16];
+ vU_[0] = vU_[254] * vU_[21] + vU_[251] * vU_[317] + vU_[280] * vU_[319];
+ vU_[251] = vU_[254] * vU_[3] + vU_[251] * vU_[21] + vU_[280] * vU_[29];
+ vU_[280] = vU_[280] * -1;
+ vU_[272] = vU_[272] - jac[234];
+ jac[270] = vU_[0] * 1 / vU_[11] * vU_[18] + vU_[251] * 1 / vU_[11] * vU_[20] + vU_[280] * 1 / vU_[11] * vU_[11] + (vU_[272] * vU_[21] + vU_[276] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[272] * vU_[3] + vU_[276] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[272] = vU_[104] * vU_[21] + vU_[100] * vU_[317] + vU_[167] * vU_[319];
+ vU_[100] = vU_[104] * vU_[3] + vU_[100] * vU_[21] + vU_[167] * vU_[29];
+ vU_[167] = vU_[167] * -1;
+ vU_[99] = vU_[99] - jac[235];
+ jac[271] = vU_[272] * 1 / vU_[11] * vU_[18] + vU_[100] * 1 / vU_[11] * vU_[20] + vU_[167] * 1 / vU_[11] * vU_[11] + (vU_[99] * vU_[21] + vU_[177] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[99] * vU_[3] + vU_[177] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[99] = vU_[229] * vU_[21] + vU_[54] * vU_[317] + vU_[218] * vU_[319];
+ vU_[54] = vU_[229] * vU_[3] + vU_[54] * vU_[21] + vU_[218] * vU_[29];
+ vU_[218] = vU_[218] * -1;
+ vU_[23] = vU_[23] - jac[236];
+ jac[272] = vU_[99] * 1 / vU_[11] * vU_[18] + vU_[54] * 1 / vU_[11] * vU_[20] + vU_[218] * 1 / vU_[11] * vU_[11] + (vU_[23] * vU_[21] + vU_[10] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[23] * vU_[3] + vU_[10] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[23] = vU_[19] * vU_[21] + vU_[22] * vU_[317] + vU_[130] * vU_[319];
+ vU_[22] = vU_[19] * vU_[3] + vU_[22] * vU_[21] + vU_[130] * vU_[29];
+ vU_[130] = vU_[130] * -1;
+ vU_[70] = vU_[70] - jac[237];
+ jac[273] = vU_[23] * 1 / vU_[11] * vU_[18] + vU_[22] * 1 / vU_[11] * vU_[20] + vU_[130] * 1 / vU_[11] * vU_[11] + (vU_[70] * vU_[21] + vU_[285] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[70] * vU_[3] + vU_[285] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[70] = vU_[84] * vU_[21] + vU_[14] * vU_[317] + vU_[208] * vU_[319];
+ vU_[14] = vU_[84] * vU_[3] + vU_[14] * vU_[21] + vU_[208] * vU_[29];
+ vU_[208] = vU_[208] * -1;
+ vU_[268] = vU_[268] - jac[238];
+ jac[274] = vU_[70] * 1 / vU_[11] * vU_[18] + vU_[14] * 1 / vU_[11] * vU_[20] + vU_[208] * 1 / vU_[11] * vU_[11] + (vU_[268] * vU_[21] + vU_[134] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[268] * vU_[3] + vU_[134] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[268] = vU_[236] * vU_[21] + vU_[212] * vU_[317] + vU_[156] * vU_[319];
+ vU_[212] = vU_[236] * vU_[3] + vU_[212] * vU_[21] + vU_[156] * vU_[29];
+ vU_[156] = vU_[156] * -1;
+ vU_[221] = vU_[221] - jac[239];
+ jac[275] = vU_[268] * 1 / vU_[11] * vU_[18] + vU_[212] * 1 / vU_[11] * vU_[20] + vU_[156] * 1 / vU_[11] * vU_[11] + (vU_[221] * vU_[21] + vU_[2] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[221] * vU_[3] + vU_[2] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[221] = vU_[222] * vU_[21] + vU_[243] * vU_[317] + vU_[237] * vU_[319];
+ vU_[243] = vU_[222] * vU_[3] + vU_[243] * vU_[21] + vU_[237] * vU_[29];
+ vU_[237] = vU_[237] * -1;
+ vU_[155] = vU_[155] - jac[240];
+ jac[276] = vU_[221] * 1 / vU_[11] * vU_[18] + vU_[243] * 1 / vU_[11] * vU_[20] + vU_[237] * 1 / vU_[11] * vU_[11] + (vU_[155] * vU_[21] + vU_[257] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[155] * vU_[3] + vU_[257] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[155] = vU_[256] * vU_[21] + vU_[258] * vU_[317] + vU_[274] * vU_[319];
+ vU_[258] = vU_[256] * vU_[3] + vU_[258] * vU_[21] + vU_[274] * vU_[29];
+ vU_[274] = vU_[274] * -1;
+ vU_[279] = vU_[279] - jac[241];
+ jac[277] = vU_[155] * 1 / vU_[11] * vU_[18] + vU_[258] * 1 / vU_[11] * vU_[20] + vU_[274] * 1 / vU_[11] * vU_[11] + (vU_[279] * vU_[21] + vU_[273] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[279] * vU_[3] + vU_[273] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[279] = vU_[306] * vU_[21] + vU_[277] * vU_[317] + vU_[320] * vU_[319];
+ vU_[277] = vU_[306] * vU_[3] + vU_[277] * vU_[21] + vU_[320] * vU_[29];
+ vU_[320] = vU_[320] * -1;
+ vU_[304] = vU_[304] - jac[242];
+ jac[278] = vU_[279] * 1 / vU_[11] * vU_[18] + vU_[277] * 1 / vU_[11] * vU_[20] + vU_[320] * 1 / vU_[11] * vU_[11] + (vU_[304] * vU_[21] + vU_[309] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[304] * vU_[3] + vU_[309] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[304] = vU_[321] * vU_[21] + vU_[350] * vU_[317] + vU_[324] * vU_[319];
+ vU_[350] = vU_[321] * vU_[3] + vU_[350] * vU_[21] + vU_[324] * vU_[29];
+ vU_[324] = vU_[324] * -1;
+ vU_[336] = vU_[336] - jac[243];
+ jac[279] = vU_[304] * 1 / vU_[11] * vU_[18] + vU_[350] * 1 / vU_[11] * vU_[20] + vU_[324] * 1 / vU_[11] * vU_[11] + (vU_[336] * vU_[21] + vU_[368] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[336] * vU_[3] + vU_[368] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[336] = vU_[351] * vU_[21] + vU_[355] * vU_[317] + vU_[148] * vU_[319];
+ vU_[355] = vU_[351] * vU_[3] + vU_[355] * vU_[21] + vU_[148] * vU_[29];
+ vU_[148] = vU_[148] * -1;
+ vU_[149] = vU_[149] - jac[244];
+ jac[280] = vU_[336] * 1 / vU_[11] * vU_[18] + vU_[355] * 1 / vU_[11] * vU_[20] + vU_[148] * 1 / vU_[11] * vU_[11] + (vU_[149] * vU_[21] + vU_[152] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[149] * vU_[3] + vU_[152] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[149] = vU_[102] * vU_[21] + vU_[60] * vU_[317] + vU_[247] * vU_[319];
+ vU_[60] = vU_[102] * vU_[3] + vU_[60] * vU_[21] + vU_[247] * vU_[29];
+ vU_[247] = vU_[247] * -1;
+ vU_[143] = vU_[143] - jac[245];
+ jac[281] = vU_[149] * 1 / vU_[11] * vU_[18] + vU_[60] * 1 / vU_[11] * vU_[20] + vU_[247] * 1 / vU_[11] * vU_[11] + (vU_[143] * vU_[21] + vU_[154] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[143] * vU_[3] + vU_[154] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[143] = vU_[214] * vU_[21] + vU_[125] * vU_[317] + vU_[117] * vU_[319];
+ vU_[125] = vU_[214] * vU_[3] + vU_[125] * vU_[21] + vU_[117] * vU_[29];
+ vU_[117] = vU_[117] * -1;
+ vU_[129] = vU_[129] - jac[246];
+ jac[282] = vU_[143] * 1 / vU_[11] * vU_[18] + vU_[125] * 1 / vU_[11] * vU_[20] + vU_[117] * 1 / vU_[11] * vU_[11] + (vU_[129] * vU_[21] + vU_[116] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[129] * vU_[3] + vU_[116] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[129] = vU_[291] * vU_[21] + vU_[106] * vU_[317] + vU_[115] * vU_[319];
+ vU_[106] = vU_[291] * vU_[3] + vU_[106] * vU_[21] + vU_[115] * vU_[29];
+ vU_[115] = vU_[115] * -1;
+ vU_[113] = vU_[113] - jac[247];
+ jac[283] = vU_[308] + vU_[129] * 1 / vU_[11] * vU_[18] + vU_[106] * 1 / vU_[11] * vU_[20] + vU_[115] * 1 / vU_[11] * vU_[11] + (vU_[113] * vU_[21] + vU_[98] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[113] * vU_[3] + vU_[98] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[113] = vU_[314] * vU_[21] + vU_[264] * vU_[317] + vU_[97] * vU_[319];
+ vU_[264] = vU_[314] * vU_[3] + vU_[264] * vU_[21] + vU_[97] * vU_[29];
+ vU_[97] = vU_[97] * -1;
+ vU_[128] = vU_[128] - jac[248];
+ jac[284] = vU_[325] + vU_[113] * 1 / vU_[11] * vU_[18] + vU_[264] * 1 / vU_[11] * vU_[20] + vU_[97] * 1 / vU_[11] * vU_[11] + (vU_[128] * vU_[21] + vU_[262] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[128] * vU_[3] + vU_[262] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[128] = vU_[332] * vU_[21] + vU_[173] * vU_[317] + vU_[223] * vU_[319];
+ vU_[173] = vU_[332] * vU_[3] + vU_[173] * vU_[21] + vU_[223] * vU_[29];
+ vU_[223] = vU_[223] * -1;
+ vU_[164] = vU_[164] - jac[249];
+ jac[285] = vU_[128] * 1 / vU_[11] * vU_[18] + vU_[173] * 1 / vU_[11] * vU_[20] + vU_[223] * 1 / vU_[11] * vU_[11] + (vU_[164] * vU_[21] + vU_[57] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[164] * vU_[3] + vU_[57] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[164] = vU_[66] * vU_[21] + vU_[132] * vU_[317] + vU_[278] * vU_[319];
+ vU_[132] = vU_[66] * vU_[3] + vU_[132] * vU_[21] + vU_[278] * vU_[29];
+ vU_[278] = vU_[278] * -1;
+ vU_[217] = vU_[217] - jac[250];
+ jac[286] = vU_[164] * 1 / vU_[11] * vU_[18] + vU_[132] * 1 / vU_[11] * vU_[20] + vU_[278] * 1 / vU_[11] * vU_[11] + (vU_[217] * vU_[21] + vU_[201] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[217] * vU_[3] + vU_[201] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[319] = vU_[260] * vU_[21] + vU_[302] * vU_[317] + vU_[301] * vU_[319];
+ vU_[302] = vU_[260] * vU_[3] + vU_[302] * vU_[21] + vU_[301] * vU_[29];
+ vU_[301] = vU_[301] * -1;
+ vU_[298] = vU_[298] - jac[251];
+ jac[287] = vU_[319] * 1 / vU_[11] * vU_[18] + vU_[302] * 1 / vU_[11] * vU_[20] + vU_[301] * 1 / vU_[11] * vU_[11] + (vU_[298] * vU_[21] + vU_[205] * vU_[24]) * 1 / vU_[11] * 2.1e-05 + (vU_[298] * vU_[3] + vU_[205] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[280] = vU_[280] - jac[270];
+ jac[306] = (vU_[0] * vU_[5] + vU_[251] * vU_[327] + vU_[280] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[0] * vU_[4] + vU_[251] * vU_[5] + vU_[280] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[280] * 38.1956380581338 * 0.026181;
+ vU_[167] = vU_[167] - jac[271];
+ jac[307] = (vU_[272] * vU_[5] + vU_[100] * vU_[327] + vU_[167] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[272] * vU_[4] + vU_[100] * vU_[5] + vU_[167] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[167] * 38.1956380581338 * 0.026181;
+ vU_[218] = vU_[218] - jac[272];
+ jac[308] = (vU_[99] * vU_[5] + vU_[54] * vU_[327] + vU_[218] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[99] * vU_[4] + vU_[54] * vU_[5] + vU_[218] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[218] * 38.1956380581338 * 0.026181;
+ vU_[130] = vU_[130] - jac[273];
+ jac[309] = (vU_[23] * vU_[5] + vU_[22] * vU_[327] + vU_[130] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[23] * vU_[4] + vU_[22] * vU_[5] + vU_[130] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[130] * 38.1956380581338 * 0.026181;
+ vU_[208] = vU_[208] - jac[274];
+ jac[310] = (vU_[70] * vU_[5] + vU_[14] * vU_[327] + vU_[208] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[70] * vU_[4] + vU_[14] * vU_[5] + vU_[208] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[208] * 38.1956380581338 * 0.026181;
+ vU_[156] = vU_[156] - jac[275];
+ jac[311] = (vU_[268] * vU_[5] + vU_[212] * vU_[327] + vU_[156] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[268] * vU_[4] + vU_[212] * vU_[5] + vU_[156] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[156] * 38.1956380581338 * 0.026181;
+ vU_[237] = vU_[237] - jac[276];
+ jac[312] = (vU_[221] * vU_[5] + vU_[243] * vU_[327] + vU_[237] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[221] * vU_[4] + vU_[243] * vU_[5] + vU_[237] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[237] * 38.1956380581338 * 0.026181;
+ vU_[274] = vU_[274] - jac[277];
+ jac[313] = (vU_[155] * vU_[5] + vU_[258] * vU_[327] + vU_[274] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[155] * vU_[4] + vU_[258] * vU_[5] + vU_[274] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[274] * 38.1956380581338 * 0.026181;
+ vU_[320] = vU_[320] - jac[278];
+ jac[314] = (vU_[279] * vU_[5] + vU_[277] * vU_[327] + vU_[320] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[279] * vU_[4] + vU_[277] * vU_[5] + vU_[320] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[320] * 38.1956380581338 * 0.026181;
+ vU_[324] = vU_[324] - jac[279];
+ jac[315] = (vU_[304] * vU_[5] + vU_[350] * vU_[327] + vU_[324] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[304] * vU_[4] + vU_[350] * vU_[5] + vU_[324] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[324] * 38.1956380581338 * 0.026181;
+ vU_[148] = vU_[148] - jac[280];
+ jac[316] = (vU_[336] * vU_[5] + vU_[355] * vU_[327] + vU_[148] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[336] * vU_[4] + vU_[355] * vU_[5] + vU_[148] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[148] * 38.1956380581338 * 0.026181;
+ vU_[247] = vU_[247] - jac[281];
+ jac[317] = (vU_[149] * vU_[5] + vU_[60] * vU_[327] + vU_[247] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[149] * vU_[4] + vU_[60] * vU_[5] + vU_[247] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[247] * 38.1956380581338 * 0.026181;
+ vU_[117] = vU_[117] - jac[282];
+ jac[318] = (vU_[143] * vU_[5] + vU_[125] * vU_[327] + vU_[117] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[143] * vU_[4] + vU_[125] * vU_[5] + vU_[117] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[117] * 38.1956380581338 * 0.026181;
+ vU_[115] = vU_[115] - jac[283];
+ jac[319] = (vU_[129] * vU_[5] + vU_[106] * vU_[327] + vU_[115] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[129] * vU_[4] + vU_[106] * vU_[5] + vU_[115] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[115] * 38.1956380581338 * 0.026181;
+ vU_[97] = vU_[97] - jac[284];
+ jac[320] = 38.1956380581338 + (vU_[113] * vU_[5] + vU_[264] * vU_[327] + vU_[97] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[113] * vU_[4] + vU_[264] * vU_[5] + vU_[97] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[97] * 38.1956380581338 * 0.026181;
+ vU_[223] = vU_[223] - jac[285];
+ jac[321] = (vU_[128] * vU_[5] + vU_[173] * vU_[327] + vU_[223] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[128] * vU_[4] + vU_[173] * vU_[5] + vU_[223] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[223] * 38.1956380581338 * 0.026181;
+ vU_[278] = vU_[278] - jac[286];
+ jac[322] = (vU_[164] * vU_[5] + vU_[132] * vU_[327] + vU_[278] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[164] * vU_[4] + vU_[132] * vU_[5] + vU_[278] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[278] * 38.1956380581338 * 0.026181;
+ vU_[301] = vU_[301] - jac[287];
+ jac[323] = (vU_[319] * vU_[5] + vU_[302] * vU_[327] + vU_[301] * vU_[323]) * 38.1956380581338 * 0.110125 + (vU_[319] * vU_[4] + vU_[302] * vU_[5] + vU_[301] * vU_[9]) * 38.1956380581338 * 0.000881 + vU_[301] * 38.1956380581338 * 0.026181;
+ vU_[34] = vU_[34] + vU_[17] * 0.207;
+ vU_[301] = vU_[200] * vU_[345] + vU_[135] * vU_[89] + vU_[17] * vU_[348] + vU_[166] * vU_[344] + vU_[119] * vU_[48];
+ vU_[302] = vU_[17] * vU_[89] + vU_[166] * vU_[47];
+ vU_[319] = vU_[17] * vU_[196] + vU_[166] * vU_[89];
+ jac[342] = vU_[34] * 1 / vU_[62] * vU_[83] + (vU_[200] * vU_[89] + vU_[135] * vU_[47] + vU_[17] * vU_[197] + vU_[166] * vU_[195] + vU_[119] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[301] * 1 / vU_[62] * vU_[61] + vU_[119] * 1 / vU_[62] * vU_[62] + vU_[302] * 1 / vU_[62] * vU_[193] + vU_[319] * 1 / vU_[62] * vU_[63];
+ vU_[136] = vU_[136] + vU_[133] * 0.207;
+ vU_[166] = vU_[40] * vU_[345] + vU_[88] * vU_[89] + vU_[133] * vU_[348] + vU_[85] * vU_[344] + vU_[114] * vU_[48];
+ vU_[17] = vU_[133] * vU_[89] + vU_[85] * vU_[47];
+ vU_[135] = vU_[133] * vU_[196] + vU_[85] * vU_[89];
+ jac[343] = vU_[136] * 1 / vU_[62] * vU_[83] + (vU_[40] * vU_[89] + vU_[88] * vU_[47] + vU_[133] * vU_[197] + vU_[85] * vU_[195] + vU_[114] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[166] * 1 / vU_[62] * vU_[61] + vU_[114] * 1 / vU_[62] * vU_[62] + vU_[17] * 1 / vU_[62] * vU_[193] + vU_[135] * 1 / vU_[62] * vU_[63];
+ vU_[44] = vU_[44] + vU_[121] * 0.207;
+ vU_[85] = vU_[92] * vU_[345] + vU_[140] * vU_[89] + vU_[121] * vU_[348] + vU_[73] * vU_[344] + vU_[118] * vU_[48];
+ vU_[133] = vU_[121] * vU_[89] + vU_[73] * vU_[47];
+ vU_[88] = vU_[121] * vU_[196] + vU_[73] * vU_[89];
+ jac[344] = vU_[44] * 1 / vU_[62] * vU_[83] + (vU_[92] * vU_[89] + vU_[140] * vU_[47] + vU_[121] * vU_[197] + vU_[73] * vU_[195] + vU_[118] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[85] * 1 / vU_[62] * vU_[61] + vU_[118] * 1 / vU_[62] * vU_[62] + vU_[133] * 1 / vU_[62] * vU_[193] + vU_[88] * 1 / vU_[62] * vU_[63];
+ vU_[209] = vU_[209] + vU_[141] * 0.207;
+ vU_[73] = vU_[82] * vU_[345] + vU_[150] * vU_[89] + vU_[141] * vU_[348] + vU_[87] * vU_[344] + vU_[39] * vU_[48];
+ vU_[121] = vU_[141] * vU_[89] + vU_[87] * vU_[47];
+ vU_[140] = vU_[141] * vU_[196] + vU_[87] * vU_[89];
+ jac[345] = vU_[209] * 1 / vU_[62] * vU_[83] + (vU_[82] * vU_[89] + vU_[150] * vU_[47] + vU_[141] * vU_[197] + vU_[87] * vU_[195] + vU_[39] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[73] * 1 / vU_[62] * vU_[61] + vU_[39] * 1 / vU_[62] * vU_[62] + vU_[121] * 1 / vU_[62] * vU_[193] + vU_[140] * 1 / vU_[62] * vU_[63];
+ vU_[55] = vU_[55] + vU_[94] * 0.207;
+ vU_[87] = vU_[103] * vU_[345] + vU_[142] * vU_[89] + vU_[94] * vU_[348] + vU_[46] * vU_[344] + vU_[183] * vU_[48];
+ vU_[141] = vU_[94] * vU_[89] + vU_[46] * vU_[47];
+ vU_[150] = vU_[94] * vU_[196] + vU_[46] * vU_[89];
+ jac[346] = vU_[55] * 1 / vU_[62] * vU_[83] + (vU_[103] * vU_[89] + vU_[142] * vU_[47] + vU_[94] * vU_[197] + vU_[46] * vU_[195] + vU_[183] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[87] * 1 / vU_[62] * vU_[61] + vU_[183] * 1 / vU_[62] * vU_[62] + vU_[141] * 1 / vU_[62] * vU_[193] + vU_[150] * 1 / vU_[62] * vU_[63];
+ vU_[122] = vU_[122] + vU_[219] * 0.207;
+ vU_[46] = vU_[199] * vU_[345] + vU_[86] * vU_[89] + vU_[219] * vU_[348] + vU_[210] * vU_[344] + vU_[74] * vU_[48];
+ vU_[94] = vU_[219] * vU_[89] + vU_[210] * vU_[47];
+ vU_[142] = vU_[219] * vU_[196] + vU_[210] * vU_[89];
+ jac[347] = vU_[122] * 1 / vU_[62] * vU_[83] + (vU_[199] * vU_[89] + vU_[86] * vU_[47] + vU_[219] * vU_[197] + vU_[210] * vU_[195] + vU_[74] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[46] * 1 / vU_[62] * vU_[61] + vU_[74] * 1 / vU_[62] * vU_[62] + vU_[94] * 1 / vU_[62] * vU_[193] + vU_[142] * 1 / vU_[62] * vU_[63];
+ vU_[79] = vU_[79] + vU_[93] * 0.207;
+ vU_[210] = vU_[138] * vU_[345] + vU_[90] * vU_[89] + vU_[93] * vU_[348] + vU_[33] * vU_[344] + vU_[42] * vU_[48];
+ vU_[219] = vU_[93] * vU_[89] + vU_[33] * vU_[47];
+ vU_[86] = vU_[93] * vU_[196] + vU_[33] * vU_[89];
+ jac[348] = vU_[79] * 1 / vU_[62] * vU_[83] + (vU_[138] * vU_[89] + vU_[90] * vU_[47] + vU_[93] * vU_[197] + vU_[33] * vU_[195] + vU_[42] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[210] * 1 / vU_[62] * vU_[61] + vU_[42] * 1 / vU_[62] * vU_[62] + vU_[219] * 1 / vU_[62] * vU_[193] + vU_[86] * 1 / vU_[62] * vU_[63];
+ vU_[108] = vU_[108] + vU_[78] * 0.207;
+ vU_[33] = vU_[53] * vU_[345] + vU_[101] * vU_[89] + vU_[78] * vU_[348] + vU_[213] * vU_[344] + vU_[204] * vU_[48];
+ vU_[93] = vU_[78] * vU_[89] + vU_[213] * vU_[47];
+ vU_[90] = vU_[78] * vU_[196] + vU_[213] * vU_[89];
+ jac[349] = vU_[108] * 1 / vU_[62] * vU_[83] + (vU_[53] * vU_[89] + vU_[101] * vU_[47] + vU_[78] * vU_[197] + vU_[213] * vU_[195] + vU_[204] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[33] * 1 / vU_[62] * vU_[61] + vU_[204] * 1 / vU_[62] * vU_[62] + vU_[93] * 1 / vU_[62] * vU_[193] + vU_[90] * 1 / vU_[62] * vU_[63];
+ vU_[240] = vU_[240] + vU_[234] * 0.207;
+ vU_[213] = vU_[242] * vU_[345] + vU_[239] * vU_[89] + vU_[234] * vU_[348] + vU_[233] * vU_[344] + vU_[235] * vU_[48];
+ vU_[78] = vU_[234] * vU_[89] + vU_[233] * vU_[47];
+ vU_[101] = vU_[234] * vU_[196] + vU_[233] * vU_[89];
+ jac[350] = vU_[240] * 1 / vU_[62] * vU_[83] + (vU_[242] * vU_[89] + vU_[239] * vU_[47] + vU_[234] * vU_[197] + vU_[233] * vU_[195] + vU_[235] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[213] * 1 / vU_[62] * vU_[61] + vU_[235] * 1 / vU_[62] * vU_[62] + vU_[78] * 1 / vU_[62] * vU_[193] + vU_[101] * 1 / vU_[62] * vU_[63];
+ vU_[245] = vU_[245] + vU_[252] * 0.207;
+ vU_[233] = vU_[248] * vU_[345] + vU_[255] * vU_[89] + vU_[252] * vU_[348] + vU_[253] * vU_[344] + vU_[249] * vU_[48];
+ vU_[234] = vU_[252] * vU_[89] + vU_[253] * vU_[47];
+ vU_[239] = vU_[252] * vU_[196] + vU_[253] * vU_[89];
+ jac[351] = vU_[245] * 1 / vU_[62] * vU_[83] + (vU_[248] * vU_[89] + vU_[255] * vU_[47] + vU_[252] * vU_[197] + vU_[253] * vU_[195] + vU_[249] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[233] * 1 / vU_[62] * vU_[61] + vU_[249] * 1 / vU_[62] * vU_[62] + vU_[234] * 1 / vU_[62] * vU_[193] + vU_[239] * 1 / vU_[62] * vU_[63];
+ vU_[269] = vU_[269] + vU_[266] * 0.207;
+ vU_[253] = vU_[271] * vU_[345] + vU_[263] * vU_[89] + vU_[266] * vU_[348] + vU_[265] * vU_[344] + vU_[267] * vU_[48];
+ vU_[252] = vU_[266] * vU_[89] + vU_[265] * vU_[47];
+ vU_[255] = vU_[266] * vU_[196] + vU_[265] * vU_[89];
+ jac[352] = vU_[269] * 1 / vU_[62] * vU_[83] + (vU_[271] * vU_[89] + vU_[263] * vU_[47] + vU_[266] * vU_[197] + vU_[265] * vU_[195] + vU_[267] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[253] * 1 / vU_[62] * vU_[61] + vU_[267] * 1 / vU_[62] * vU_[62] + vU_[252] * 1 / vU_[62] * vU_[193] + vU_[255] * 1 / vU_[62] * vU_[63];
+ vU_[286] = vU_[286] + vU_[283] * 0.207;
+ vU_[265] = vU_[288] * vU_[345] + vU_[281] * vU_[89] + vU_[283] * vU_[348] + vU_[282] * vU_[344] + vU_[284] * vU_[48];
+ vU_[266] = vU_[283] * vU_[89] + vU_[282] * vU_[47];
+ vU_[263] = vU_[283] * vU_[196] + vU_[282] * vU_[89];
+ jac[353] = vU_[286] * 1 / vU_[62] * vU_[83] + (vU_[288] * vU_[89] + vU_[281] * vU_[47] + vU_[283] * vU_[197] + vU_[282] * vU_[195] + vU_[284] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[265] * 1 / vU_[62] * vU_[61] + vU_[284] * 1 / vU_[62] * vU_[62] + vU_[266] * 1 / vU_[62] * vU_[193] + vU_[263] * 1 / vU_[62] * vU_[63];
+ vU_[292] = vU_[292] + vU_[299] * 0.207;
+ vU_[282] = vU_[295] * vU_[345] + vU_[303] * vU_[89] + vU_[299] * vU_[348] + vU_[300] * vU_[344] + vU_[296] * vU_[48];
+ vU_[283] = vU_[299] * vU_[89] + vU_[300] * vU_[47];
+ vU_[281] = vU_[299] * vU_[196] + vU_[300] * vU_[89];
+ jac[354] = vU_[292] * 1 / vU_[62] * vU_[83] + (vU_[295] * vU_[89] + vU_[303] * vU_[47] + vU_[299] * vU_[197] + vU_[300] * vU_[195] + vU_[296] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[282] * 1 / vU_[62] * vU_[61] + vU_[296] * 1 / vU_[62] * vU_[62] + vU_[283] * 1 / vU_[62] * vU_[193] + vU_[281] * 1 / vU_[62] * vU_[63];
+ vU_[315] = vU_[315] + vU_[312] * 0.207;
+ vU_[300] = vU_[318] * vU_[345] + vU_[310] * vU_[89] + vU_[312] * vU_[348] + vU_[311] * vU_[344] + vU_[313] * vU_[48];
+ vU_[299] = vU_[312] * vU_[89] + vU_[311] * vU_[47];
+ vU_[303] = vU_[312] * vU_[196] + vU_[311] * vU_[89];
+ jac[355] = vU_[315] * 1 / vU_[62] * vU_[83] + (vU_[318] * vU_[89] + vU_[310] * vU_[47] + vU_[312] * vU_[197] + vU_[311] * vU_[195] + vU_[313] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[300] * 1 / vU_[62] * vU_[61] + vU_[313] * 1 / vU_[62] * vU_[62] + vU_[299] * 1 / vU_[62] * vU_[193] + vU_[303] * 1 / vU_[62] * vU_[63];
+ vU_[333] = vU_[333] + vU_[330] * 0.207;
+ vU_[311] = vU_[335] * vU_[345] + vU_[328] * vU_[89] + vU_[330] * vU_[348] + vU_[329] * vU_[344] + vU_[331] * vU_[48];
+ vU_[312] = vU_[330] * vU_[89] + vU_[329] * vU_[47];
+ vU_[310] = vU_[330] * vU_[196] + vU_[329] * vU_[89];
+ jac[356] = vU_[333] * 1 / vU_[62] * vU_[83] + (vU_[335] * vU_[89] + vU_[328] * vU_[47] + vU_[330] * vU_[197] + vU_[329] * vU_[195] + vU_[331] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[311] * 1 / vU_[62] * vU_[61] + vU_[331] * 1 / vU_[62] * vU_[62] + vU_[312] * 1 / vU_[62] * vU_[193] + vU_[310] * 1 / vU_[62] * vU_[63];
+ vU_[339] = vU_[339] + vU_[346] * 0.207;
+ vU_[329] = vU_[342] * vU_[345] + vU_[349] * vU_[89] + vU_[346] * vU_[348] + vU_[347] * vU_[344] + vU_[343] * vU_[48];
+ vU_[330] = vU_[346] * vU_[89] + vU_[347] * vU_[47];
+ vU_[328] = vU_[346] * vU_[196] + vU_[347] * vU_[89];
+ jac[357] = vU_[338] + vU_[339] * 1 / vU_[62] * vU_[83] + (vU_[342] * vU_[89] + vU_[349] * vU_[47] + vU_[346] * vU_[197] + vU_[347] * vU_[195] + vU_[343] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[329] * 1 / vU_[62] * vU_[61] + vU_[343] * 1 / vU_[62] * vU_[62] + vU_[330] * 1 / vU_[62] * vU_[193] + vU_[328] * 1 / vU_[62] * vU_[63];
+ vU_[363] = vU_[363] + vU_[360] * 0.207;
+ vU_[347] = vU_[365] * vU_[345] + vU_[357] * vU_[89] + vU_[360] * vU_[348] + vU_[359] * vU_[344] + vU_[361] * vU_[48];
+ vU_[346] = vU_[360] * vU_[89] + vU_[359] * vU_[47];
+ vU_[349] = vU_[360] * vU_[196] + vU_[359] * vU_[89];
+ jac[358] = vU_[362] + vU_[363] * 1 / vU_[62] * vU_[83] + (vU_[365] * vU_[89] + vU_[357] * vU_[47] + vU_[360] * vU_[197] + vU_[359] * vU_[195] + vU_[361] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[347] * 1 / vU_[62] * vU_[61] + vU_[361] * 1 / vU_[62] * vU_[62] + vU_[346] * 1 / vU_[62] * vU_[193] + vU_[349] * 1 / vU_[62] * vU_[63];
+ vU_[380] = vU_[380] + vU_[377] * 0.207;
+ vU_[345] = vU_[382] * vU_[345] + vU_[184] * vU_[89] + vU_[377] * vU_[348] + vU_[36] * vU_[344] + vU_[378] * vU_[48];
+ vU_[348] = vU_[377] * vU_[89] + vU_[36] * vU_[47];
+ vU_[196] = vU_[377] * vU_[196] + vU_[36] * vU_[89];
+ jac[359] = vU_[379] + vU_[380] * 1 / vU_[62] * vU_[83] + (vU_[382] * vU_[89] + vU_[184] * vU_[47] + vU_[377] * vU_[197] + vU_[36] * vU_[195] + vU_[378] * vU_[341]) * 1 / vU_[62] * vU_[91] + vU_[345] * 1 / vU_[62] * vU_[61] + vU_[378] * 1 / vU_[62] * vU_[62] + vU_[348] * 1 / vU_[62] * vU_[193] + vU_[196] * 1 / vU_[62] * vU_[63];
+ vU_[36] = vU_[34] * vU_[356] + vU_[301] * vU_[49] + vU_[302] * vU_[366];
+ vU_[301] = vU_[34] * vU_[358] + vU_[301] * vU_[68] + vU_[302] * vU_[80];
+ vU_[119] = vU_[119] - jac[342];
+ jac[378] = vU_[36] * 1 / vU_[58] * vU_[65] + vU_[301] * 1 / vU_[58] * vU_[67] + vU_[302] * 1 / vU_[58] * vU_[58] + (vU_[119] * vU_[69] + vU_[319] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[119] * vU_[50] + vU_[319] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[119] = vU_[136] * vU_[356] + vU_[166] * vU_[49] + vU_[17] * vU_[366];
+ vU_[166] = vU_[136] * vU_[358] + vU_[166] * vU_[68] + vU_[17] * vU_[80];
+ vU_[114] = vU_[114] - jac[343];
+ jac[379] = vU_[119] * 1 / vU_[58] * vU_[65] + vU_[166] * 1 / vU_[58] * vU_[67] + vU_[17] * 1 / vU_[58] * vU_[58] + (vU_[114] * vU_[69] + vU_[135] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[114] * vU_[50] + vU_[135] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[114] = vU_[44] * vU_[356] + vU_[85] * vU_[49] + vU_[133] * vU_[366];
+ vU_[85] = vU_[44] * vU_[358] + vU_[85] * vU_[68] + vU_[133] * vU_[80];
+ vU_[118] = vU_[118] - jac[344];
+ jac[380] = vU_[114] * 1 / vU_[58] * vU_[65] + vU_[85] * 1 / vU_[58] * vU_[67] + vU_[133] * 1 / vU_[58] * vU_[58] + (vU_[118] * vU_[69] + vU_[88] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[118] * vU_[50] + vU_[88] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[118] = vU_[209] * vU_[356] + vU_[73] * vU_[49] + vU_[121] * vU_[366];
+ vU_[73] = vU_[209] * vU_[358] + vU_[73] * vU_[68] + vU_[121] * vU_[80];
+ vU_[39] = vU_[39] - jac[345];
+ jac[381] = vU_[118] * 1 / vU_[58] * vU_[65] + vU_[73] * 1 / vU_[58] * vU_[67] + vU_[121] * 1 / vU_[58] * vU_[58] + (vU_[39] * vU_[69] + vU_[140] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[39] * vU_[50] + vU_[140] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[39] = vU_[55] * vU_[356] + vU_[87] * vU_[49] + vU_[141] * vU_[366];
+ vU_[87] = vU_[55] * vU_[358] + vU_[87] * vU_[68] + vU_[141] * vU_[80];
+ vU_[183] = vU_[183] - jac[346];
+ jac[382] = vU_[39] * 1 / vU_[58] * vU_[65] + vU_[87] * 1 / vU_[58] * vU_[67] + vU_[141] * 1 / vU_[58] * vU_[58] + (vU_[183] * vU_[69] + vU_[150] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[183] * vU_[50] + vU_[150] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[183] = vU_[122] * vU_[356] + vU_[46] * vU_[49] + vU_[94] * vU_[366];
+ vU_[46] = vU_[122] * vU_[358] + vU_[46] * vU_[68] + vU_[94] * vU_[80];
+ vU_[74] = vU_[74] - jac[347];
+ jac[383] = vU_[183] * 1 / vU_[58] * vU_[65] + vU_[46] * 1 / vU_[58] * vU_[67] + vU_[94] * 1 / vU_[58] * vU_[58] + (vU_[74] * vU_[69] + vU_[142] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[74] * vU_[50] + vU_[142] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[74] = vU_[79] * vU_[356] + vU_[210] * vU_[49] + vU_[219] * vU_[366];
+ vU_[210] = vU_[79] * vU_[358] + vU_[210] * vU_[68] + vU_[219] * vU_[80];
+ vU_[42] = vU_[42] - jac[348];
+ jac[384] = vU_[74] * 1 / vU_[58] * vU_[65] + vU_[210] * 1 / vU_[58] * vU_[67] + vU_[219] * 1 / vU_[58] * vU_[58] + (vU_[42] * vU_[69] + vU_[86] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[42] * vU_[50] + vU_[86] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[42] = vU_[108] * vU_[356] + vU_[33] * vU_[49] + vU_[93] * vU_[366];
+ vU_[33] = vU_[108] * vU_[358] + vU_[33] * vU_[68] + vU_[93] * vU_[80];
+ vU_[204] = vU_[204] - jac[349];
+ jac[385] = vU_[42] * 1 / vU_[58] * vU_[65] + vU_[33] * 1 / vU_[58] * vU_[67] + vU_[93] * 1 / vU_[58] * vU_[58] + (vU_[204] * vU_[69] + vU_[90] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[204] * vU_[50] + vU_[90] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[204] = vU_[240] * vU_[356] + vU_[213] * vU_[49] + vU_[78] * vU_[366];
+ vU_[213] = vU_[240] * vU_[358] + vU_[213] * vU_[68] + vU_[78] * vU_[80];
+ vU_[235] = vU_[235] - jac[350];
+ jac[386] = vU_[204] * 1 / vU_[58] * vU_[65] + vU_[213] * 1 / vU_[58] * vU_[67] + vU_[78] * 1 / vU_[58] * vU_[58] + (vU_[235] * vU_[69] + vU_[101] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[235] * vU_[50] + vU_[101] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[235] = vU_[245] * vU_[356] + vU_[233] * vU_[49] + vU_[234] * vU_[366];
+ vU_[233] = vU_[245] * vU_[358] + vU_[233] * vU_[68] + vU_[234] * vU_[80];
+ vU_[249] = vU_[249] - jac[351];
+ jac[387] = vU_[235] * 1 / vU_[58] * vU_[65] + vU_[233] * 1 / vU_[58] * vU_[67] + vU_[234] * 1 / vU_[58] * vU_[58] + (vU_[249] * vU_[69] + vU_[239] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[249] * vU_[50] + vU_[239] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[249] = vU_[269] * vU_[356] + vU_[253] * vU_[49] + vU_[252] * vU_[366];
+ vU_[253] = vU_[269] * vU_[358] + vU_[253] * vU_[68] + vU_[252] * vU_[80];
+ vU_[267] = vU_[267] - jac[352];
+ jac[388] = vU_[249] * 1 / vU_[58] * vU_[65] + vU_[253] * 1 / vU_[58] * vU_[67] + vU_[252] * 1 / vU_[58] * vU_[58] + (vU_[267] * vU_[69] + vU_[255] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[267] * vU_[50] + vU_[255] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[267] = vU_[286] * vU_[356] + vU_[265] * vU_[49] + vU_[266] * vU_[366];
+ vU_[265] = vU_[286] * vU_[358] + vU_[265] * vU_[68] + vU_[266] * vU_[80];
+ vU_[284] = vU_[284] - jac[353];
+ jac[389] = vU_[267] * 1 / vU_[58] * vU_[65] + vU_[265] * 1 / vU_[58] * vU_[67] + vU_[266] * 1 / vU_[58] * vU_[58] + (vU_[284] * vU_[69] + vU_[263] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[284] * vU_[50] + vU_[263] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[284] = vU_[292] * vU_[356] + vU_[282] * vU_[49] + vU_[283] * vU_[366];
+ vU_[282] = vU_[292] * vU_[358] + vU_[282] * vU_[68] + vU_[283] * vU_[80];
+ vU_[296] = vU_[296] - jac[354];
+ jac[390] = vU_[284] * 1 / vU_[58] * vU_[65] + vU_[282] * 1 / vU_[58] * vU_[67] + vU_[283] * 1 / vU_[58] * vU_[58] + (vU_[296] * vU_[69] + vU_[281] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[296] * vU_[50] + vU_[281] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[296] = vU_[315] * vU_[356] + vU_[300] * vU_[49] + vU_[299] * vU_[366];
+ vU_[300] = vU_[315] * vU_[358] + vU_[300] * vU_[68] + vU_[299] * vU_[80];
+ vU_[313] = vU_[313] - jac[355];
+ jac[391] = vU_[296] * 1 / vU_[58] * vU_[65] + vU_[300] * 1 / vU_[58] * vU_[67] + vU_[299] * 1 / vU_[58] * vU_[58] + (vU_[313] * vU_[69] + vU_[303] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[313] * vU_[50] + vU_[303] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[313] = vU_[333] * vU_[356] + vU_[311] * vU_[49] + vU_[312] * vU_[366];
+ vU_[311] = vU_[333] * vU_[358] + vU_[311] * vU_[68] + vU_[312] * vU_[80];
+ vU_[331] = vU_[331] - jac[356];
+ jac[392] = vU_[313] * 1 / vU_[58] * vU_[65] + vU_[311] * 1 / vU_[58] * vU_[67] + vU_[312] * 1 / vU_[58] * vU_[58] + (vU_[331] * vU_[69] + vU_[310] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[331] * vU_[50] + vU_[310] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[331] = vU_[339] * vU_[356] + vU_[329] * vU_[49] + vU_[330] * vU_[366];
+ vU_[329] = vU_[339] * vU_[358] + vU_[329] * vU_[68] + vU_[330] * vU_[80];
+ vU_[343] = vU_[343] - jac[357];
+ jac[393] = vU_[331] * 1 / vU_[58] * vU_[65] + vU_[329] * 1 / vU_[58] * vU_[67] + vU_[330] * 1 / vU_[58] * vU_[58] + (vU_[343] * vU_[69] + vU_[328] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[343] * vU_[50] + vU_[328] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[343] = vU_[363] * vU_[356] + vU_[347] * vU_[49] + vU_[346] * vU_[366];
+ vU_[347] = vU_[363] * vU_[358] + vU_[347] * vU_[68] + vU_[346] * vU_[80];
+ vU_[361] = vU_[361] - jac[358];
+ jac[394] = vU_[354] + vU_[343] * 1 / vU_[58] * vU_[65] + vU_[347] * 1 / vU_[58] * vU_[67] + vU_[346] * 1 / vU_[58] * vU_[58] + (vU_[361] * vU_[69] + vU_[349] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[361] * vU_[50] + vU_[349] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[366] = vU_[380] * vU_[356] + vU_[345] * vU_[49] + vU_[348] * vU_[366];
+ vU_[345] = vU_[380] * vU_[358] + vU_[345] * vU_[68] + vU_[348] * vU_[80];
+ vU_[378] = vU_[378] - jac[359];
+ jac[395] = vU_[372] + vU_[366] * 1 / vU_[58] * vU_[65] + vU_[345] * 1 / vU_[58] * vU_[67] + vU_[348] * 1 / vU_[58] * vU_[58] + (vU_[378] * vU_[69] + vU_[196] * vU_[50]) * 1 / vU_[58] * vU_[77] + (vU_[378] * vU_[50] + vU_[196] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[302] = vU_[302] - jac[378];
+ jac[414] = (vU_[36] * vU_[52] + vU_[301] * vU_[374] + vU_[302] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[36] * vU_[51] + vU_[301] * vU_[52] + vU_[302] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[302] * 38.1956380581338 * 0.026181;
+ vU_[17] = vU_[17] - jac[379];
+ jac[415] = (vU_[119] * vU_[52] + vU_[166] * vU_[374] + vU_[17] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[119] * vU_[51] + vU_[166] * vU_[52] + vU_[17] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[17] * 38.1956380581338 * 0.026181;
+ vU_[133] = vU_[133] - jac[380];
+ jac[416] = (vU_[114] * vU_[52] + vU_[85] * vU_[374] + vU_[133] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[114] * vU_[51] + vU_[85] * vU_[52] + vU_[133] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[133] * 38.1956380581338 * 0.026181;
+ vU_[121] = vU_[121] - jac[381];
+ jac[417] = (vU_[118] * vU_[52] + vU_[73] * vU_[374] + vU_[121] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[118] * vU_[51] + vU_[73] * vU_[52] + vU_[121] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[121] * 38.1956380581338 * 0.026181;
+ vU_[141] = vU_[141] - jac[382];
+ jac[418] = (vU_[39] * vU_[52] + vU_[87] * vU_[374] + vU_[141] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[39] * vU_[51] + vU_[87] * vU_[52] + vU_[141] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[141] * 38.1956380581338 * 0.026181;
+ vU_[94] = vU_[94] - jac[383];
+ jac[419] = (vU_[183] * vU_[52] + vU_[46] * vU_[374] + vU_[94] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[183] * vU_[51] + vU_[46] * vU_[52] + vU_[94] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[94] * 38.1956380581338 * 0.026181;
+ vU_[219] = vU_[219] - jac[384];
+ jac[420] = (vU_[74] * vU_[52] + vU_[210] * vU_[374] + vU_[219] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[74] * vU_[51] + vU_[210] * vU_[52] + vU_[219] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[219] * 38.1956380581338 * 0.026181;
+ vU_[93] = vU_[93] - jac[385];
+ jac[421] = (vU_[42] * vU_[52] + vU_[33] * vU_[374] + vU_[93] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[42] * vU_[51] + vU_[33] * vU_[52] + vU_[93] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[93] * 38.1956380581338 * 0.026181;
+ vU_[78] = vU_[78] - jac[386];
+ jac[422] = (vU_[204] * vU_[52] + vU_[213] * vU_[374] + vU_[78] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[204] * vU_[51] + vU_[213] * vU_[52] + vU_[78] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[78] * 38.1956380581338 * 0.026181;
+ vU_[234] = vU_[234] - jac[387];
+ jac[423] = (vU_[235] * vU_[52] + vU_[233] * vU_[374] + vU_[234] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[235] * vU_[51] + vU_[233] * vU_[52] + vU_[234] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[234] * 38.1956380581338 * 0.026181;
+ vU_[252] = vU_[252] - jac[388];
+ jac[424] = (vU_[249] * vU_[52] + vU_[253] * vU_[374] + vU_[252] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[249] * vU_[51] + vU_[253] * vU_[52] + vU_[252] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[252] * 38.1956380581338 * 0.026181;
+ vU_[266] = vU_[266] - jac[389];
+ jac[425] = (vU_[267] * vU_[52] + vU_[265] * vU_[374] + vU_[266] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[267] * vU_[51] + vU_[265] * vU_[52] + vU_[266] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[266] * 38.1956380581338 * 0.026181;
+ vU_[283] = vU_[283] - jac[390];
+ jac[426] = (vU_[284] * vU_[52] + vU_[282] * vU_[374] + vU_[283] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[284] * vU_[51] + vU_[282] * vU_[52] + vU_[283] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[283] * 38.1956380581338 * 0.026181;
+ vU_[299] = vU_[299] - jac[391];
+ jac[427] = (vU_[296] * vU_[52] + vU_[300] * vU_[374] + vU_[299] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[296] * vU_[51] + vU_[300] * vU_[52] + vU_[299] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[299] * 38.1956380581338 * 0.026181;
+ vU_[312] = vU_[312] - jac[392];
+ jac[428] = (vU_[313] * vU_[52] + vU_[311] * vU_[374] + vU_[312] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[313] * vU_[51] + vU_[311] * vU_[52] + vU_[312] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[312] * 38.1956380581338 * 0.026181;
+ vU_[330] = vU_[330] - jac[393];
+ jac[429] = (vU_[331] * vU_[52] + vU_[329] * vU_[374] + vU_[330] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[331] * vU_[51] + vU_[329] * vU_[52] + vU_[330] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[330] * 38.1956380581338 * 0.026181;
+ vU_[346] = vU_[346] - jac[394];
+ jac[430] = (vU_[343] * vU_[52] + vU_[347] * vU_[374] + vU_[346] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[343] * vU_[51] + vU_[347] * vU_[52] + vU_[346] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[346] * 38.1956380581338 * 0.026181;
+ vU_[348] = vU_[348] - jac[395];
+ jac[431] = 38.1956380581338 + (vU_[366] * vU_[52] + vU_[345] * vU_[374] + vU_[348] * vU_[370]) * 38.1956380581338 * 0.1104774 + (vU_[366] * vU_[51] + vU_[345] * vU_[52] + vU_[348] * vU_[56]) * 38.1956380581338 * 0.0004405 + vU_[348] * 38.1956380581338 * 0.026181;
+
+
+ return dFdu_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.h b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.h
new file mode 100644
index 0000000..03cec4d
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.h
@@ -0,0 +1,59 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQBareModelLinearizedReverse : public ct::core::LinearSystem<36, 12, double>
+{
+public:
+ typedef ct::core::LinearSystem<36, 12, double> Base;
+
+ typedef typename Base::state_vector_t state_vector_t;
+ typedef typename Base::control_vector_t control_vector_t;
+ typedef typename Base::state_matrix_t state_matrix_t;
+ typedef typename Base::state_control_matrix_t state_control_matrix_t;
+
+ HyQBareModelLinearizedReverse(const ct::core::SYSTEM_TYPE& type = ct::core::SYSTEM_TYPE::GENERAL)
+ : ct::core::LinearSystem<36, 12>(type)
+ {
+ initialize();
+ }
+
+ HyQBareModelLinearizedReverse(const HyQBareModelLinearizedReverse& other) { initialize(); }
+ virtual ~HyQBareModelLinearizedReverse(){};
+
+ virtual HyQBareModelLinearizedReverse* clone() const override { return new HyQBareModelLinearizedReverse; }
+ virtual const state_matrix_t& getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+ virtual const state_control_matrix_t& getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+private:
+ void initialize()
+ {
+ dFdx_.setZero();
+ dFdu_.setZero();
+ vX_.fill(0.0);
+ vU_.fill(0.0);
+ }
+
+ state_matrix_t dFdx_;
+ state_control_matrix_t dFdu_;
+ std::array<double, 3790> vX_;
+ std::array<double, 383> vU_;
+};
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQContactModelForwardZeroSystem.h b/ct_models/include/ct/models/HyQ/codegen/HyQContactModelForwardZeroSystem.h
new file mode 100644
index 0000000..d8b8c9a
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQContactModelForwardZeroSystem.h
@@ -0,0 +1,93 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+
+#include <ct/core/systems/ControlledSystem.h>
+#include <ct/rbd/rbd.h>
+
+#include <ct/rbd/state/RigidBodyPose.h>
+#include <ct/rbd/physics/EEContactModel.h>
+
+#include "HyQForwardZero.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+/**
+ * \brief A floating base rigid body system that uses forward dynamics. The input vector
+ * is assumed to consist of joint torques and end-effector forces expressed in the world.
+ */
+class HyQContactModelForwardZeroSystem : public core::SymplecticSystem<18, 18, 12>
+{
+public:
+ const static size_t STATE_DIM = 36;
+ const static size_t CONTROL_DIM = 12;
+
+ typedef core::StateVector<STATE_DIM> StateVector;
+ typedef core::ControlVector<CONTROL_DIM> ControlVector;
+
+ typedef core::SymplecticSystem<18, 18, CONTROL_DIM> Base;
+
+ HyQContactModelForwardZeroSystem() : Base(){};
+
+ HyQContactModelForwardZeroSystem(const HyQContactModelForwardZeroSystem& other)
+ : Base(other), hyqForwardZero_(other.hyqForwardZero_){};
+
+ virtual ~HyQContactModelForwardZeroSystem(){};
+
+ virtual HyQContactModelForwardZeroSystem* clone() const override
+ {
+ return new HyQContactModelForwardZeroSystem(*this);
+ }
+
+ virtual void computePdot(const StateVector& x,
+ const core::StateVector<18>& v,
+ const ControlVector& control,
+ core::StateVector<18>& pDot) override
+ {
+ StateVector xLocal = x;
+ xLocal.tail(18) = v;
+ ct::rbd::RBDState<12> rbdCached = RBDStateFromVector(xLocal);
+ ct::rbd::RBDAcceleration<12> xd;
+ pDot = toStateDerivative(xd, rbdCached).head(18);
+ }
+
+ virtual void computeVdot(const StateVector& x,
+ const core::StateVector<18>& p,
+ const ControlVector& control,
+ core::StateVector<18>& vDot) override
+ {
+ StateVector xLocal = x;
+ xLocal.head(18) = p;
+ Eigen::Matrix<double, STATE_DIM + CONTROL_DIM + 1, 1> xut;
+ xut << xLocal, control, 0.0;
+ vDot = hyqForwardZero_.forwardZero(xut).tail(18);
+ }
+
+
+private:
+ HyQForwardZero hyqForwardZero_;
+
+ StateVector toStateDerivative(const ct::rbd::RBDAcceleration<12>& acceleration, const ct::rbd::RBDState<12>& state)
+ {
+ return acceleration.toStateUpdateVectorEulerXyz(state);
+ }
+
+ ct::rbd::RBDState<12> RBDStateFromVector(const StateVector& state)
+ {
+ ct::rbd::RBDState<12> x;
+ x.fromStateVectorEulerXyz(state);
+ return x;
+ }
+};
+
+} // namespace HyQ
+
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacForward.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacForward.cpp
new file mode 100644
index 0000000..51634c7
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacForward.cpp
@@ -0,0 +1,1506 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyQForwardKinJacForward.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+HyQForwardKinJacForward::JAC_TYPE HyQForwardKinJacForward::jacobian(const Eigen::VectorXd& x_in)
+{
+ double* jac = jac_.data();
+
+ v_[0] = 0.5 * x_in[0];
+ v_[1] = cos(v_[0]);
+ v_[2] = 0.5 * x_in[1];
+ v_[3] = cos(v_[2]);
+ v_[4] = v_[1] * v_[3];
+ v_[5] = 0.5 * x_in[2];
+ v_[6] = sin(v_[5]);
+ v_[7] = sin(v_[0]);
+ v_[8] = sin(v_[2]);
+ v_[9] = v_[7] * v_[8];
+ v_[10] = cos(v_[5]);
+ v_[11] = v_[4] * v_[6] + v_[9] * v_[10];
+ v_[12] = 2. * v_[11];
+ v_[13] = 0.5 * cos(v_[0]);
+ v_[14] = v_[13] * v_[3];
+ v_[0] = -0.5 * sin(v_[0]);
+ v_[15] = v_[0] * v_[8];
+ v_[16] = v_[14] * v_[10] + v_[15] * v_[6];
+ v_[0] = v_[0] * v_[3];
+ v_[13] = v_[13] * v_[8];
+ v_[17] = v_[0] * v_[6] + v_[13] * v_[10];
+ v_[18] = 2. * v_[17];
+ v_[3] = v_[7] * v_[3];
+ v_[8] = v_[1] * v_[8];
+ v_[19] = v_[3] * v_[10] + v_[8] * v_[6];
+ v_[20] = v_[12] * v_[16] + v_[18] * v_[19];
+ v_[21] = v_[8] * v_[10] - v_[3] * v_[6];
+ v_[22] = 2. * v_[21];
+ v_[13] = v_[0] * v_[10] - v_[13] * v_[6];
+ v_[15] = v_[15] * v_[10] - v_[14] * v_[6];
+ v_[14] = 2. * v_[15];
+ v_[0] = v_[4] * v_[10] - v_[9] * v_[6];
+ v_[23] = v_[22] * v_[13] + v_[14] * v_[0];
+ v_[24] = cos(x_in[6]);
+ v_[25] = 0.33 * v_[24];
+ v_[26] = sin(x_in[7]);
+ v_[27] = v_[25] * v_[26];
+ v_[28] = sin(x_in[8]);
+ v_[29] = 0.33 * v_[24];
+ v_[30] = cos(x_in[7]);
+ v_[31] = v_[29] * v_[30];
+ v_[32] = cos(x_in[8]);
+ v_[33] = 0.35 * v_[24];
+ v_[34] = v_[27] * v_[28] - v_[31] * v_[32] - v_[33] * v_[30] - 0.08 * v_[24];
+ v_[35] = v_[22] * v_[16] + v_[14] * v_[19];
+ v_[36] = v_[12] * v_[13] + v_[18] * v_[0];
+ v_[37] = sin(x_in[6]);
+ v_[38] = 0.33 * v_[37];
+ v_[39] = v_[38] * v_[26];
+ v_[40] = 0.33 * v_[37];
+ v_[41] = v_[40] * v_[30];
+ v_[42] = 0.35 * v_[37];
+ v_[43] = 0.207 + v_[39] * v_[28] - v_[41] * v_[32] - v_[42] * v_[30] - 0.08 * v_[37];
+ v_[17] = v_[12] * v_[17] + v_[18] * v_[11];
+ v_[14] = v_[22] * v_[15] + v_[14] * v_[21];
+ v_[44] = -0.33 * v_[30];
+ v_[45] = 0.33 * v_[26];
+ v_[46] = 0.3735 + v_[44] * v_[28] - v_[45] * v_[32] - 0.35 * v_[26];
+ jac[0] = (v_[20] + v_[23]) * v_[34] + (v_[35] - v_[36]) * v_[43] + (0 - v_[17] - v_[14]) * v_[46];
+ v_[15] = v_[12] * v_[15] + v_[18] * v_[21];
+ v_[18] = 2. * v_[19];
+ v_[47] = 2. * v_[16];
+ v_[13] = v_[18] * v_[13] + v_[47] * v_[0];
+ v_[47] = v_[18] * v_[16] + v_[47] * v_[19];
+ jac[1] = (v_[15] - v_[13]) * v_[34] + (0 - v_[17] - v_[47]) * v_[43] + (v_[35] + v_[36]) * v_[46];
+ jac[2] = (0 - v_[14] - v_[47]) * v_[34] + (v_[15] + v_[13]) * v_[43] + (v_[20] - v_[23]) * v_[46];
+ v_[47] = 0.5 * x_in[0];
+ v_[13] = cos(v_[47]);
+ v_[15] = 0.5 * x_in[1];
+ v_[14] = cos(v_[15]);
+ v_[23] = v_[13] * v_[14];
+ v_[20] = 0.5 * x_in[2];
+ v_[17] = sin(v_[20]);
+ v_[36] = sin(v_[47]);
+ v_[35] = sin(v_[15]);
+ v_[16] = v_[36] * v_[35];
+ v_[48] = cos(v_[20]);
+ v_[49] = v_[23] * v_[17] + v_[16] * v_[48];
+ v_[50] = 2. * v_[49];
+ v_[51] = 0.5 * cos(v_[47]);
+ v_[52] = v_[51] * v_[14];
+ v_[47] = -0.5 * sin(v_[47]);
+ v_[53] = v_[47] * v_[35];
+ v_[54] = v_[52] * v_[48] + v_[53] * v_[17];
+ v_[47] = v_[47] * v_[14];
+ v_[51] = v_[51] * v_[35];
+ v_[55] = v_[47] * v_[17] + v_[51] * v_[48];
+ v_[56] = 2. * v_[55];
+ v_[14] = v_[36] * v_[14];
+ v_[35] = v_[13] * v_[35];
+ v_[57] = v_[14] * v_[48] + v_[35] * v_[17];
+ v_[58] = v_[50] * v_[54] + v_[56] * v_[57];
+ v_[59] = v_[35] * v_[48] - v_[14] * v_[17];
+ v_[60] = 2. * v_[59];
+ v_[51] = v_[47] * v_[48] - v_[51] * v_[17];
+ v_[53] = v_[53] * v_[48] - v_[52] * v_[17];
+ v_[52] = 2. * v_[53];
+ v_[47] = v_[23] * v_[48] - v_[16] * v_[17];
+ v_[61] = v_[60] * v_[51] + v_[52] * v_[47];
+ v_[62] = 0.33 * v_[24];
+ v_[63] = v_[62] * v_[30];
+ v_[64] = 0.33 * v_[24];
+ v_[65] = v_[64] * v_[26];
+ v_[66] = v_[63] * v_[28] + v_[65] * v_[32];
+ v_[67] = v_[62] * v_[26];
+ v_[68] = 0.33 * v_[24];
+ v_[69] = v_[68] * v_[30];
+ v_[70] = 0.35 * v_[24];
+ v_[71] = v_[67] * v_[32] + v_[69] * v_[28] + v_[70] * v_[26];
+ v_[72] = 0.33 * v_[37];
+ v_[73] = v_[72] * v_[30];
+ v_[74] = -0.33 * v_[37];
+ v_[75] = v_[74] * v_[26];
+ v_[76] = 0.35 * v_[37];
+ v_[77] = v_[73] * v_[32] + v_[75] * v_[28] + v_[76] * v_[30] + 0.08 * v_[37];
+ v_[78] = 0.33 * v_[37];
+ v_[79] = v_[78] * v_[26];
+ v_[80] = 0.33 * v_[37];
+ v_[81] = v_[80] * v_[30];
+ v_[82] = 0.35 * v_[37];
+ v_[83] = 0.207 + v_[79] * v_[28] - v_[81] * v_[32] - v_[82] * v_[30] - 0.08 * v_[37];
+ v_[84] = -0.33 * v_[30];
+ v_[85] = 0.33 * v_[26];
+ v_[86] = 0.3735 + v_[84] * v_[28] - v_[85] * v_[32] - 0.35 * v_[26];
+ v_[87] = v_[66] * x_in[26] + v_[71] * x_in[25] + v_[77] * x_in[24] + x_in[23] + x_in[18] * v_[83] - x_in[19] * v_[86];
+ v_[88] = v_[60] * v_[54] + v_[52] * v_[57];
+ v_[89] = v_[50] * v_[51] + v_[56] * v_[47];
+ v_[90] = 0.33 * v_[37];
+ v_[91] = v_[90] * v_[30];
+ v_[92] = 0.33 * v_[37];
+ v_[93] = v_[92] * v_[26];
+ v_[94] = v_[91] * v_[28] + v_[93] * v_[32];
+ v_[95] = v_[90] * v_[26];
+ v_[96] = 0.33 * v_[37];
+ v_[97] = v_[96] * v_[30];
+ v_[37] = 0.35 * v_[37];
+ v_[98] = v_[95] * v_[32] + v_[97] * v_[28] + v_[37] * v_[26];
+ v_[99] = 0.33 * v_[24];
+ v_[100] = v_[99] * v_[26];
+ v_[101] = 0.33 * v_[24];
+ v_[102] = v_[101] * v_[30];
+ v_[103] = 0.35 * v_[24];
+ v_[104] = v_[100] * v_[28] - v_[102] * v_[32] - v_[103] * v_[30] - 0.08 * v_[24];
+ v_[105] = 0.33 * v_[24];
+ v_[106] = v_[105] * v_[26];
+ v_[107] = 0.35 * v_[24];
+ v_[24] = v_[106] * v_[28] - v_[102] * v_[32] - v_[107] * v_[30] - 0.08 * v_[24];
+ v_[108] = v_[94] * x_in[26] + v_[98] * x_in[25] + v_[104] * x_in[24] + x_in[22] + x_in[20] * v_[86] - x_in[18] * v_[24];
+ v_[55] = v_[50] * v_[55] + v_[56] * v_[49];
+ v_[52] = v_[60] * v_[53] + v_[52] * v_[59];
+ v_[109] = 0.33 * v_[26];
+ v_[110] = 0.33 * v_[30];
+ v_[111] = v_[109] * v_[28] - v_[110] * v_[32];
+ v_[112] = 0.33 * v_[26];
+ v_[113] = 0.33 * v_[30];
+ v_[114] = v_[112] * v_[28] - v_[113] * v_[32] - 0.35 * v_[30];
+ v_[115] = v_[111] * x_in[26] + v_[114] * x_in[25] + x_in[21] + x_in[19] * v_[24] - x_in[20] * v_[83];
+ jac[3] = (v_[58] + v_[61]) * v_[87] + (v_[88] - v_[89]) * v_[108] + (0 - v_[55] - v_[52]) * v_[115];
+ v_[53] = v_[50] * v_[53] + v_[56] * v_[59];
+ v_[56] = 2. * v_[57];
+ v_[116] = 2. * v_[54];
+ v_[51] = v_[56] * v_[51] + v_[116] * v_[47];
+ v_[116] = v_[56] * v_[54] + v_[116] * v_[57];
+ jac[4] = (v_[53] - v_[51]) * v_[87] + (0 - v_[55] - v_[116]) * v_[108] + (v_[88] + v_[89]) * v_[115];
+ jac[5] = (0 - v_[52] - v_[116]) * v_[87] + (v_[53] + v_[51]) * v_[108] + (v_[58] - v_[61]) * v_[115];
+ v_[116] = 0.5 * x_in[0];
+ v_[51] = cos(v_[116]);
+ v_[53] = 0.5 * x_in[1];
+ v_[52] = cos(v_[53]);
+ v_[61] = v_[51] * v_[52];
+ v_[58] = 0.5 * x_in[2];
+ v_[55] = sin(v_[58]);
+ v_[89] = sin(v_[116]);
+ v_[88] = sin(v_[53]);
+ v_[54] = v_[89] * v_[88];
+ v_[117] = cos(v_[58]);
+ v_[118] = v_[61] * v_[55] + v_[54] * v_[117];
+ v_[119] = 2. * v_[118];
+ v_[120] = 0.5 * cos(v_[116]);
+ v_[121] = v_[120] * v_[52];
+ v_[116] = -0.5 * sin(v_[116]);
+ v_[122] = v_[116] * v_[88];
+ v_[123] = v_[121] * v_[117] + v_[122] * v_[55];
+ v_[116] = v_[116] * v_[52];
+ v_[120] = v_[120] * v_[88];
+ v_[124] = v_[116] * v_[55] + v_[120] * v_[117];
+ v_[125] = 2. * v_[124];
+ v_[52] = v_[89] * v_[52];
+ v_[88] = v_[51] * v_[88];
+ v_[126] = v_[52] * v_[117] + v_[88] * v_[55];
+ v_[127] = v_[119] * v_[123] + v_[125] * v_[126];
+ v_[128] = v_[88] * v_[117] - v_[52] * v_[55];
+ v_[129] = 2. * v_[128];
+ v_[120] = v_[116] * v_[117] - v_[120] * v_[55];
+ v_[122] = v_[122] * v_[117] - v_[121] * v_[55];
+ v_[121] = 2. * v_[122];
+ v_[116] = v_[61] * v_[117] - v_[54] * v_[55];
+ v_[130] = v_[129] * v_[120] + v_[121] * v_[116];
+ v_[131] = cos(x_in[9]);
+ v_[132] = 0.33 * v_[131];
+ v_[133] = sin(x_in[10]);
+ v_[134] = v_[132] * v_[133];
+ v_[135] = sin(x_in[11]);
+ v_[136] = 0.33 * v_[131];
+ v_[137] = cos(x_in[10]);
+ v_[138] = v_[136] * v_[137];
+ v_[139] = cos(x_in[11]);
+ v_[140] = 0.35 * v_[131];
+ v_[141] = v_[134] * v_[135] - v_[138] * v_[139] - v_[140] * v_[137] - 0.08 * v_[131];
+ v_[142] = v_[129] * v_[123] + v_[121] * v_[126];
+ v_[143] = v_[119] * v_[120] + v_[125] * v_[116];
+ v_[144] = sin(x_in[9]);
+ v_[145] = 0.33 * v_[144];
+ v_[146] = v_[145] * v_[137];
+ v_[147] = -0.33 * v_[144];
+ v_[148] = v_[147] * v_[133];
+ v_[149] = 0.35 * v_[144];
+ v_[150] = -0.207 + v_[146] * v_[139] + v_[148] * v_[135] + v_[149] * v_[137] + 0.08 * v_[144];
+ v_[124] = v_[119] * v_[124] + v_[125] * v_[118];
+ v_[121] = v_[129] * v_[122] + v_[121] * v_[128];
+ v_[151] = -0.33 * v_[137];
+ v_[152] = 0.33 * v_[133];
+ v_[153] = 0.3735 + v_[151] * v_[135] - v_[152] * v_[139] - 0.35 * v_[133];
+ jac[6] = (v_[127] + v_[130]) * v_[141] + (v_[142] - v_[143]) * v_[150] + (0 - v_[124] - v_[121]) * v_[153];
+ v_[122] = v_[119] * v_[122] + v_[125] * v_[128];
+ v_[125] = 2. * v_[126];
+ v_[154] = 2. * v_[123];
+ v_[120] = v_[125] * v_[120] + v_[154] * v_[116];
+ v_[154] = v_[125] * v_[123] + v_[154] * v_[126];
+ jac[7] = (v_[122] - v_[120]) * v_[141] + (0 - v_[124] - v_[154]) * v_[150] + (v_[142] + v_[143]) * v_[153];
+ jac[8] = (0 - v_[121] - v_[154]) * v_[141] + (v_[122] + v_[120]) * v_[150] + (v_[127] - v_[130]) * v_[153];
+ v_[154] = 0.5 * x_in[0];
+ v_[120] = cos(v_[154]);
+ v_[122] = 0.5 * x_in[1];
+ v_[121] = cos(v_[122]);
+ v_[130] = v_[120] * v_[121];
+ v_[127] = 0.5 * x_in[2];
+ v_[124] = sin(v_[127]);
+ v_[143] = sin(v_[154]);
+ v_[142] = sin(v_[122]);
+ v_[123] = v_[143] * v_[142];
+ v_[155] = cos(v_[127]);
+ v_[156] = v_[130] * v_[124] + v_[123] * v_[155];
+ v_[157] = 2. * v_[156];
+ v_[158] = 0.5 * cos(v_[154]);
+ v_[159] = v_[158] * v_[121];
+ v_[154] = -0.5 * sin(v_[154]);
+ v_[160] = v_[154] * v_[142];
+ v_[161] = v_[159] * v_[155] + v_[160] * v_[124];
+ v_[154] = v_[154] * v_[121];
+ v_[158] = v_[158] * v_[142];
+ v_[162] = v_[154] * v_[124] + v_[158] * v_[155];
+ v_[163] = 2. * v_[162];
+ v_[121] = v_[143] * v_[121];
+ v_[142] = v_[120] * v_[142];
+ v_[164] = v_[121] * v_[155] + v_[142] * v_[124];
+ v_[165] = v_[157] * v_[161] + v_[163] * v_[164];
+ v_[166] = v_[142] * v_[155] - v_[121] * v_[124];
+ v_[167] = 2. * v_[166];
+ v_[158] = v_[154] * v_[155] - v_[158] * v_[124];
+ v_[160] = v_[160] * v_[155] - v_[159] * v_[124];
+ v_[159] = 2. * v_[160];
+ v_[154] = v_[130] * v_[155] - v_[123] * v_[124];
+ v_[168] = v_[167] * v_[158] + v_[159] * v_[154];
+ v_[169] = 0.33 * v_[131];
+ v_[170] = v_[169] * v_[137];
+ v_[171] = 0.33 * v_[131];
+ v_[172] = v_[171] * v_[133];
+ v_[173] = v_[170] * v_[135] + v_[172] * v_[139];
+ v_[174] = v_[169] * v_[133];
+ v_[175] = 0.33 * v_[131];
+ v_[176] = v_[175] * v_[137];
+ v_[177] = 0.35 * v_[131];
+ v_[178] = v_[174] * v_[139] + v_[176] * v_[135] + v_[177] * v_[133];
+ v_[179] = 0.33 * v_[144];
+ v_[180] = v_[179] * v_[137];
+ v_[181] = -0.33 * v_[144];
+ v_[182] = v_[181] * v_[133];
+ v_[183] = 0.35 * v_[144];
+ v_[184] = v_[180] * v_[139] + v_[182] * v_[135] + v_[183] * v_[137] + 0.08 * v_[144];
+ v_[185] = 0.33 * v_[144];
+ v_[186] = v_[185] * v_[137];
+ v_[187] = -0.33 * v_[144];
+ v_[188] = v_[187] * v_[133];
+ v_[189] = 0.35 * v_[144];
+ v_[190] = -0.207 + v_[186] * v_[139] + v_[188] * v_[135] + v_[189] * v_[137] + 0.08 * v_[144];
+ v_[191] = -0.33 * v_[137];
+ v_[192] = 0.33 * v_[133];
+ v_[193] = 0.3735 + v_[191] * v_[135] - v_[192] * v_[139] - 0.35 * v_[133];
+ v_[194] = v_[173] * x_in[29] + v_[178] * x_in[28] + v_[184] * x_in[27] + x_in[23] + x_in[18] * v_[190] - x_in[19] * v_[193];
+ v_[195] = v_[167] * v_[161] + v_[159] * v_[164];
+ v_[196] = v_[157] * v_[158] + v_[163] * v_[154];
+ v_[197] = -0.33 * v_[144];
+ v_[198] = v_[197] * v_[137];
+ v_[199] = 0.33 * v_[144];
+ v_[200] = v_[199] * v_[133];
+ v_[201] = v_[198] * v_[135] - v_[200] * v_[139];
+ v_[202] = v_[181] * v_[137];
+ v_[203] = 0.33 * v_[144];
+ v_[204] = v_[203] * v_[133];
+ v_[144] = 0.35 * v_[144];
+ v_[205] = v_[202] * v_[135] - v_[204] * v_[139] - v_[144] * v_[133];
+ v_[206] = 0.33 * v_[131];
+ v_[207] = v_[206] * v_[137];
+ v_[208] = -0.33 * v_[131];
+ v_[209] = v_[208] * v_[133];
+ v_[210] = 0.35 * v_[131];
+ v_[211] = v_[207] * v_[139] + v_[209] * v_[135] + v_[210] * v_[137] + 0.08 * v_[131];
+ v_[212] = 0.33 * v_[131];
+ v_[213] = v_[212] * v_[133];
+ v_[214] = 0.33 * v_[131];
+ v_[215] = v_[214] * v_[137];
+ v_[216] = 0.35 * v_[131];
+ v_[131] = v_[213] * v_[135] - v_[215] * v_[139] - v_[216] * v_[137] - 0.08 * v_[131];
+ v_[217] = v_[201] * x_in[29] + v_[205] * x_in[28] + v_[211] * x_in[27] + x_in[22] + x_in[20] * v_[193] - x_in[18] * v_[131];
+ v_[162] = v_[157] * v_[162] + v_[163] * v_[156];
+ v_[159] = v_[167] * v_[160] + v_[159] * v_[166];
+ v_[218] = 0.33 * v_[133];
+ v_[219] = 0.33 * v_[137];
+ v_[220] = v_[218] * v_[135] - v_[219] * v_[139];
+ v_[221] = 0.33 * v_[133];
+ v_[222] = 0.33 * v_[137];
+ v_[223] = v_[221] * v_[135] - v_[222] * v_[139] - 0.35 * v_[137];
+ v_[224] = v_[220] * x_in[29] + v_[223] * x_in[28] + x_in[21] + x_in[19] * v_[131] - x_in[20] * v_[190];
+ jac[9] = (v_[165] + v_[168]) * v_[194] + (v_[195] - v_[196]) * v_[217] + (0 - v_[162] - v_[159]) * v_[224];
+ v_[160] = v_[157] * v_[160] + v_[163] * v_[166];
+ v_[163] = 2. * v_[164];
+ v_[225] = 2. * v_[161];
+ v_[158] = v_[163] * v_[158] + v_[225] * v_[154];
+ v_[225] = v_[163] * v_[161] + v_[225] * v_[164];
+ jac[10] = (v_[160] - v_[158]) * v_[194] + (0 - v_[162] - v_[225]) * v_[217] + (v_[195] + v_[196]) * v_[224];
+ jac[11] = (0 - v_[159] - v_[225]) * v_[194] + (v_[160] + v_[158]) * v_[217] + (v_[165] - v_[168]) * v_[224];
+ v_[225] = 0.5 * x_in[0];
+ v_[158] = cos(v_[225]);
+ v_[160] = 0.5 * x_in[1];
+ v_[159] = cos(v_[160]);
+ v_[168] = v_[158] * v_[159];
+ v_[165] = 0.5 * x_in[2];
+ v_[162] = sin(v_[165]);
+ v_[196] = sin(v_[225]);
+ v_[195] = sin(v_[160]);
+ v_[161] = v_[196] * v_[195];
+ v_[226] = cos(v_[165]);
+ v_[227] = v_[168] * v_[162] + v_[161] * v_[226];
+ v_[228] = 2. * v_[227];
+ v_[229] = 0.5 * cos(v_[225]);
+ v_[230] = v_[229] * v_[159];
+ v_[225] = -0.5 * sin(v_[225]);
+ v_[231] = v_[225] * v_[195];
+ v_[232] = v_[230] * v_[226] + v_[231] * v_[162];
+ v_[225] = v_[225] * v_[159];
+ v_[229] = v_[229] * v_[195];
+ v_[233] = v_[225] * v_[162] + v_[229] * v_[226];
+ v_[234] = 2. * v_[233];
+ v_[159] = v_[196] * v_[159];
+ v_[195] = v_[158] * v_[195];
+ v_[235] = v_[159] * v_[226] + v_[195] * v_[162];
+ v_[236] = v_[228] * v_[232] + v_[234] * v_[235];
+ v_[237] = v_[195] * v_[226] - v_[159] * v_[162];
+ v_[238] = 2. * v_[237];
+ v_[229] = v_[225] * v_[226] - v_[229] * v_[162];
+ v_[231] = v_[231] * v_[226] - v_[230] * v_[162];
+ v_[230] = 2. * v_[231];
+ v_[225] = v_[168] * v_[226] - v_[161] * v_[162];
+ v_[239] = v_[238] * v_[229] + v_[230] * v_[225];
+ v_[240] = cos(x_in[12]);
+ v_[241] = 0.33 * v_[240];
+ v_[242] = sin(x_in[13]);
+ v_[243] = v_[241] * v_[242];
+ v_[244] = sin(x_in[14]);
+ v_[245] = 0.33 * v_[240];
+ v_[246] = cos(x_in[13]);
+ v_[247] = v_[245] * v_[246];
+ v_[248] = cos(x_in[14]);
+ v_[249] = 0.35 * v_[240];
+ v_[250] = v_[243] * v_[244] - v_[247] * v_[248] - v_[249] * v_[246] - 0.08 * v_[240];
+ v_[251] = v_[238] * v_[232] + v_[230] * v_[235];
+ v_[252] = v_[228] * v_[229] + v_[234] * v_[225];
+ v_[253] = sin(x_in[12]);
+ v_[254] = 0.33 * v_[253];
+ v_[255] = v_[254] * v_[242];
+ v_[256] = 0.33 * v_[253];
+ v_[257] = v_[256] * v_[246];
+ v_[258] = 0.35 * v_[253];
+ v_[259] = 0.207 + v_[255] * v_[244] - v_[257] * v_[248] - v_[258] * v_[246] - 0.08 * v_[253];
+ v_[233] = v_[228] * v_[233] + v_[234] * v_[227];
+ v_[230] = v_[238] * v_[231] + v_[230] * v_[237];
+ v_[260] = -0.33 * v_[246];
+ v_[261] = 0.33 * v_[242];
+ v_[262] = -0.3735 + v_[260] * v_[244] - v_[261] * v_[248] - 0.35 * v_[242];
+ jac[12] = (v_[236] + v_[239]) * v_[250] + (v_[251] - v_[252]) * v_[259] + (0 - v_[233] - v_[230]) * v_[262];
+ v_[231] = v_[228] * v_[231] + v_[234] * v_[237];
+ v_[234] = 2. * v_[235];
+ v_[263] = 2. * v_[232];
+ v_[229] = v_[234] * v_[229] + v_[263] * v_[225];
+ v_[263] = v_[234] * v_[232] + v_[263] * v_[235];
+ jac[13] = (v_[231] - v_[229]) * v_[250] + (0 - v_[233] - v_[263]) * v_[259] + (v_[251] + v_[252]) * v_[262];
+ jac[14] = (0 - v_[230] - v_[263]) * v_[250] + (v_[231] + v_[229]) * v_[259] + (v_[236] - v_[239]) * v_[262];
+ v_[263] = 0.5 * x_in[0];
+ v_[229] = cos(v_[263]);
+ v_[231] = 0.5 * x_in[1];
+ v_[230] = cos(v_[231]);
+ v_[239] = v_[229] * v_[230];
+ v_[236] = 0.5 * x_in[2];
+ v_[233] = sin(v_[236]);
+ v_[252] = sin(v_[263]);
+ v_[251] = sin(v_[231]);
+ v_[232] = v_[252] * v_[251];
+ v_[264] = cos(v_[236]);
+ v_[265] = v_[239] * v_[233] + v_[232] * v_[264];
+ v_[266] = 2. * v_[265];
+ v_[267] = 0.5 * cos(v_[263]);
+ v_[268] = v_[267] * v_[230];
+ v_[263] = -0.5 * sin(v_[263]);
+ v_[269] = v_[263] * v_[251];
+ v_[270] = v_[268] * v_[264] + v_[269] * v_[233];
+ v_[263] = v_[263] * v_[230];
+ v_[267] = v_[267] * v_[251];
+ v_[271] = v_[263] * v_[233] + v_[267] * v_[264];
+ v_[272] = 2. * v_[271];
+ v_[230] = v_[252] * v_[230];
+ v_[251] = v_[229] * v_[251];
+ v_[273] = v_[230] * v_[264] + v_[251] * v_[233];
+ v_[274] = v_[266] * v_[270] + v_[272] * v_[273];
+ v_[275] = v_[251] * v_[264] - v_[230] * v_[233];
+ v_[276] = 2. * v_[275];
+ v_[267] = v_[263] * v_[264] - v_[267] * v_[233];
+ v_[269] = v_[269] * v_[264] - v_[268] * v_[233];
+ v_[268] = 2. * v_[269];
+ v_[263] = v_[239] * v_[264] - v_[232] * v_[233];
+ v_[277] = v_[276] * v_[267] + v_[268] * v_[263];
+ v_[278] = 0.33 * v_[240];
+ v_[279] = v_[278] * v_[246];
+ v_[280] = 0.33 * v_[240];
+ v_[281] = v_[280] * v_[242];
+ v_[282] = v_[279] * v_[244] + v_[281] * v_[248];
+ v_[283] = v_[278] * v_[242];
+ v_[284] = 0.33 * v_[240];
+ v_[285] = v_[284] * v_[246];
+ v_[286] = 0.35 * v_[240];
+ v_[287] = v_[283] * v_[248] + v_[285] * v_[244] + v_[286] * v_[242];
+ v_[288] = 0.33 * v_[253];
+ v_[289] = v_[288] * v_[246];
+ v_[290] = -0.33 * v_[253];
+ v_[291] = v_[290] * v_[242];
+ v_[292] = 0.35 * v_[253];
+ v_[293] = v_[289] * v_[248] + v_[291] * v_[244] + v_[292] * v_[246] + 0.08 * v_[253];
+ v_[294] = 0.33 * v_[253];
+ v_[295] = v_[294] * v_[242];
+ v_[296] = sin(x_in[14]);
+ v_[297] = 0.33 * v_[253];
+ v_[298] = v_[297] * v_[246];
+ v_[299] = 0.35 * v_[253];
+ v_[300] = 0.207 + v_[295] * v_[296] - v_[298] * v_[248] - v_[299] * v_[246] - 0.08 * v_[253];
+ v_[301] = -0.33 * v_[246];
+ v_[302] = 0.33 * v_[242];
+ v_[303] = -0.3735 + v_[301] * v_[296] - v_[302] * v_[248] - 0.35 * v_[242];
+ v_[304] = v_[282] * x_in[32] + v_[287] * x_in[31] + v_[293] * x_in[30] + x_in[23] + x_in[18] * v_[300] - x_in[19] * v_[303];
+ v_[305] = v_[276] * v_[270] + v_[268] * v_[273];
+ v_[306] = v_[266] * v_[267] + v_[272] * v_[263];
+ v_[307] = 0.33 * v_[253];
+ v_[308] = v_[307] * v_[246];
+ v_[309] = 0.33 * v_[253];
+ v_[310] = v_[309] * v_[242];
+ v_[311] = v_[308] * v_[244] + v_[310] * v_[248];
+ v_[312] = v_[307] * v_[242];
+ v_[313] = 0.33 * v_[253];
+ v_[314] = v_[313] * v_[246];
+ v_[253] = 0.35 * v_[253];
+ v_[315] = v_[312] * v_[248] + v_[314] * v_[244] + v_[253] * v_[242];
+ v_[316] = 0.33 * v_[240];
+ v_[317] = v_[316] * v_[242];
+ v_[318] = 0.33 * v_[240];
+ v_[319] = v_[318] * v_[246];
+ v_[320] = 0.35 * v_[240];
+ v_[321] = v_[317] * v_[244] - v_[319] * v_[248] - v_[320] * v_[246] - 0.08 * v_[240];
+ v_[322] = 0.33 * v_[240];
+ v_[323] = v_[322] * v_[242];
+ v_[324] = 0.33 * v_[240];
+ v_[325] = v_[324] * v_[246];
+ v_[326] = 0.35 * v_[240];
+ v_[240] = v_[323] * v_[296] - v_[325] * v_[248] - v_[326] * v_[246] - 0.08 * v_[240];
+ v_[327] = v_[311] * x_in[32] + v_[315] * x_in[31] + v_[321] * x_in[30] + x_in[22] + x_in[20] * v_[303] - x_in[18] * v_[240];
+ v_[271] = v_[266] * v_[271] + v_[272] * v_[265];
+ v_[268] = v_[276] * v_[269] + v_[268] * v_[275];
+ v_[328] = 0.33 * v_[242];
+ v_[329] = 0.33 * v_[246];
+ v_[330] = v_[328] * v_[244] - v_[329] * v_[248];
+ v_[331] = 0.33 * v_[242];
+ v_[332] = 0.33 * v_[246];
+ v_[333] = v_[331] * v_[244] - v_[332] * v_[248] - 0.35 * v_[246];
+ v_[334] = v_[330] * x_in[32] + v_[333] * x_in[31] + x_in[21] + x_in[19] * v_[240] - x_in[20] * v_[300];
+ jac[15] = (v_[274] + v_[277]) * v_[304] + (v_[305] - v_[306]) * v_[327] + (0 - v_[271] - v_[268]) * v_[334];
+ v_[269] = v_[266] * v_[269] + v_[272] * v_[275];
+ v_[272] = 2. * v_[273];
+ v_[335] = 2. * v_[270];
+ v_[267] = v_[272] * v_[267] + v_[335] * v_[263];
+ v_[335] = v_[272] * v_[270] + v_[335] * v_[273];
+ jac[16] = (v_[269] - v_[267]) * v_[304] + (0 - v_[271] - v_[335]) * v_[327] + (v_[305] + v_[306]) * v_[334];
+ jac[17] = (0 - v_[268] - v_[335]) * v_[304] + (v_[269] + v_[267]) * v_[327] + (v_[274] - v_[277]) * v_[334];
+ v_[335] = 0.5 * x_in[0];
+ v_[267] = cos(v_[335]);
+ v_[269] = 0.5 * x_in[1];
+ v_[268] = cos(v_[269]);
+ v_[277] = v_[267] * v_[268];
+ v_[274] = 0.5 * x_in[2];
+ v_[271] = sin(v_[274]);
+ v_[306] = sin(v_[335]);
+ v_[305] = sin(v_[269]);
+ v_[270] = v_[306] * v_[305];
+ v_[336] = cos(v_[274]);
+ v_[337] = v_[277] * v_[271] + v_[270] * v_[336];
+ v_[338] = 2. * v_[337];
+ v_[339] = 0.5 * cos(v_[335]);
+ v_[340] = v_[339] * v_[268];
+ v_[335] = -0.5 * sin(v_[335]);
+ v_[341] = v_[335] * v_[305];
+ v_[342] = v_[340] * v_[336] + v_[341] * v_[271];
+ v_[335] = v_[335] * v_[268];
+ v_[339] = v_[339] * v_[305];
+ v_[343] = v_[335] * v_[271] + v_[339] * v_[336];
+ v_[344] = 2. * v_[343];
+ v_[268] = v_[306] * v_[268];
+ v_[305] = v_[267] * v_[305];
+ v_[345] = v_[268] * v_[336] + v_[305] * v_[271];
+ v_[346] = v_[338] * v_[342] + v_[344] * v_[345];
+ v_[347] = v_[305] * v_[336] - v_[268] * v_[271];
+ v_[348] = 2. * v_[347];
+ v_[339] = v_[335] * v_[336] - v_[339] * v_[271];
+ v_[341] = v_[341] * v_[336] - v_[340] * v_[271];
+ v_[340] = 2. * v_[341];
+ v_[335] = v_[277] * v_[336] - v_[270] * v_[271];
+ v_[349] = v_[348] * v_[339] + v_[340] * v_[335];
+ v_[350] = cos(x_in[15]);
+ v_[351] = 0.33 * v_[350];
+ v_[352] = sin(x_in[16]);
+ v_[353] = v_[351] * v_[352];
+ v_[354] = sin(x_in[17]);
+ v_[355] = 0.33 * v_[350];
+ v_[356] = cos(x_in[16]);
+ v_[357] = v_[355] * v_[356];
+ v_[358] = cos(x_in[17]);
+ v_[359] = 0.35 * v_[350];
+ v_[360] = v_[353] * v_[354] - v_[357] * v_[358] - v_[359] * v_[356] - 0.08 * v_[350];
+ v_[361] = v_[348] * v_[342] + v_[340] * v_[345];
+ v_[362] = v_[338] * v_[339] + v_[344] * v_[335];
+ v_[363] = sin(x_in[15]);
+ v_[364] = 0.33 * v_[363];
+ v_[365] = v_[364] * v_[356];
+ v_[366] = -0.33 * v_[363];
+ v_[367] = v_[366] * v_[352];
+ v_[368] = 0.35 * v_[363];
+ v_[369] = -0.207 + v_[365] * v_[358] + v_[367] * v_[354] + v_[368] * v_[356] + 0.08 * v_[363];
+ v_[343] = v_[338] * v_[343] + v_[344] * v_[337];
+ v_[340] = v_[348] * v_[341] + v_[340] * v_[347];
+ v_[370] = -0.33 * v_[356];
+ v_[371] = 0.33 * v_[352];
+ v_[372] = -0.3735 + v_[370] * v_[354] - v_[371] * v_[358] - 0.35 * v_[352];
+ jac[18] = (v_[346] + v_[349]) * v_[360] + (v_[361] - v_[362]) * v_[369] + (0 - v_[343] - v_[340]) * v_[372];
+ v_[341] = v_[338] * v_[341] + v_[344] * v_[347];
+ v_[344] = 2. * v_[345];
+ v_[373] = 2. * v_[342];
+ v_[339] = v_[344] * v_[339] + v_[373] * v_[335];
+ v_[373] = v_[344] * v_[342] + v_[373] * v_[345];
+ jac[19] = (v_[341] - v_[339]) * v_[360] + (0 - v_[343] - v_[373]) * v_[369] + (v_[361] + v_[362]) * v_[372];
+ jac[20] = (0 - v_[340] - v_[373]) * v_[360] + (v_[341] + v_[339]) * v_[369] + (v_[346] - v_[349]) * v_[372];
+ v_[373] = 0.5 * x_in[0];
+ v_[339] = cos(v_[373]);
+ v_[341] = 0.5 * x_in[1];
+ v_[340] = cos(v_[341]);
+ v_[349] = v_[339] * v_[340];
+ v_[346] = 0.5 * x_in[2];
+ v_[343] = sin(v_[346]);
+ v_[362] = sin(v_[373]);
+ v_[361] = sin(v_[341]);
+ v_[342] = v_[362] * v_[361];
+ v_[374] = cos(v_[346]);
+ v_[375] = v_[349] * v_[343] + v_[342] * v_[374];
+ v_[376] = 2. * v_[375];
+ v_[377] = 0.5 * cos(v_[373]);
+ v_[378] = v_[377] * v_[340];
+ v_[373] = -0.5 * sin(v_[373]);
+ v_[379] = v_[373] * v_[361];
+ v_[380] = v_[378] * v_[374] + v_[379] * v_[343];
+ v_[373] = v_[373] * v_[340];
+ v_[377] = v_[377] * v_[361];
+ v_[381] = v_[373] * v_[343] + v_[377] * v_[374];
+ v_[382] = 2. * v_[381];
+ v_[340] = v_[362] * v_[340];
+ v_[361] = v_[339] * v_[361];
+ v_[383] = v_[340] * v_[374] + v_[361] * v_[343];
+ v_[384] = v_[376] * v_[380] + v_[382] * v_[383];
+ v_[385] = v_[361] * v_[374] - v_[340] * v_[343];
+ v_[386] = 2. * v_[385];
+ v_[377] = v_[373] * v_[374] - v_[377] * v_[343];
+ v_[379] = v_[379] * v_[374] - v_[378] * v_[343];
+ v_[378] = 2. * v_[379];
+ v_[373] = v_[349] * v_[374] - v_[342] * v_[343];
+ v_[387] = v_[386] * v_[377] + v_[378] * v_[373];
+ v_[388] = 0.33 * v_[350];
+ v_[389] = v_[388] * v_[356];
+ v_[390] = 0.33 * v_[350];
+ v_[391] = v_[390] * v_[352];
+ v_[392] = v_[389] * v_[354] + v_[391] * v_[358];
+ v_[393] = v_[388] * v_[352];
+ v_[394] = 0.33 * v_[350];
+ v_[395] = v_[394] * v_[356];
+ v_[396] = 0.35 * v_[350];
+ v_[397] = v_[393] * v_[358] + v_[395] * v_[354] + v_[396] * v_[352];
+ v_[398] = 0.33 * v_[363];
+ v_[399] = v_[398] * v_[356];
+ v_[400] = -0.33 * v_[363];
+ v_[401] = v_[400] * v_[352];
+ v_[402] = 0.35 * v_[363];
+ v_[403] = v_[399] * v_[358] + v_[401] * v_[354] + v_[402] * v_[356] + 0.08 * v_[363];
+ v_[404] = 0.33 * v_[363];
+ v_[405] = v_[404] * v_[356];
+ v_[406] = -0.33 * v_[363];
+ v_[407] = v_[406] * v_[352];
+ v_[408] = 0.35 * v_[363];
+ v_[409] = -0.207 + v_[405] * v_[358] + v_[407] * v_[354] + v_[408] * v_[356] + 0.08 * v_[363];
+ v_[410] = -0.33 * v_[356];
+ v_[411] = 0.33 * v_[352];
+ v_[412] = -0.3735 + v_[410] * v_[354] - v_[411] * v_[358] - 0.35 * v_[352];
+ v_[413] = v_[392] * x_in[35] + v_[397] * x_in[34] + v_[403] * x_in[33] + x_in[23] + x_in[18] * v_[409] - x_in[19] * v_[412];
+ v_[414] = v_[386] * v_[380] + v_[378] * v_[383];
+ v_[415] = v_[376] * v_[377] + v_[382] * v_[373];
+ v_[416] = -0.33 * v_[363];
+ v_[417] = v_[416] * v_[356];
+ v_[418] = 0.33 * v_[363];
+ v_[419] = v_[418] * v_[352];
+ v_[420] = v_[417] * v_[354] - v_[419] * v_[358];
+ v_[421] = v_[400] * v_[356];
+ v_[422] = 0.33 * v_[363];
+ v_[423] = v_[422] * v_[352];
+ v_[363] = 0.35 * v_[363];
+ v_[424] = v_[421] * v_[354] - v_[423] * v_[358] - v_[363] * v_[352];
+ v_[425] = 0.33 * v_[350];
+ v_[426] = v_[425] * v_[356];
+ v_[427] = -0.33 * v_[350];
+ v_[428] = v_[427] * v_[352];
+ v_[429] = 0.35 * v_[350];
+ v_[430] = v_[426] * v_[358] + v_[428] * v_[354] + v_[429] * v_[356] + 0.08 * v_[350];
+ v_[431] = 0.33 * v_[350];
+ v_[432] = v_[431] * v_[352];
+ v_[433] = 0.33 * v_[350];
+ v_[434] = v_[433] * v_[356];
+ v_[435] = 0.35 * v_[350];
+ v_[350] = v_[432] * v_[354] - v_[434] * v_[358] - v_[435] * v_[356] - 0.08 * v_[350];
+ v_[436] = v_[420] * x_in[35] + v_[424] * x_in[34] + v_[430] * x_in[33] + x_in[22] + x_in[20] * v_[412] - x_in[18] * v_[350];
+ v_[381] = v_[376] * v_[381] + v_[382] * v_[375];
+ v_[378] = v_[386] * v_[379] + v_[378] * v_[385];
+ v_[437] = 0.33 * v_[352];
+ v_[438] = 0.33 * v_[356];
+ v_[439] = v_[437] * v_[354] - v_[438] * v_[358];
+ v_[440] = 0.33 * v_[352];
+ v_[441] = 0.33 * v_[356];
+ v_[442] = v_[440] * v_[354] - v_[441] * v_[358] - 0.35 * v_[356];
+ v_[443] = v_[439] * x_in[35] + v_[442] * x_in[34] + x_in[21] + x_in[19] * v_[350] - x_in[20] * v_[409];
+ jac[21] = (v_[384] + v_[387]) * v_[413] + (v_[414] - v_[415]) * v_[436] + (0 - v_[381] - v_[378]) * v_[443];
+ v_[379] = v_[376] * v_[379] + v_[382] * v_[385];
+ v_[382] = 2. * v_[383];
+ v_[444] = 2. * v_[380];
+ v_[377] = v_[382] * v_[377] + v_[444] * v_[373];
+ v_[444] = v_[382] * v_[380] + v_[444] * v_[383];
+ jac[22] = (v_[379] - v_[377]) * v_[413] + (0 - v_[381] - v_[444]) * v_[436] + (v_[414] + v_[415]) * v_[443];
+ jac[23] = (0 - v_[378] - v_[444]) * v_[413] + (v_[379] + v_[377]) * v_[436] + (v_[384] - v_[387]) * v_[443];
+ v_[444] = -0.5 * sin(v_[2]);
+ v_[377] = v_[7] * v_[444];
+ v_[2] = 0.5 * cos(v_[2]);
+ v_[379] = v_[1] * v_[2];
+ v_[378] = v_[377] * v_[10] + v_[379] * v_[6];
+ v_[444] = v_[1] * v_[444];
+ v_[2] = v_[7] * v_[2];
+ v_[7] = v_[444] * v_[6] + v_[2] * v_[10];
+ v_[1] = 2. * v_[7];
+ v_[387] = v_[12] * v_[378] + v_[1] * v_[19];
+ v_[2] = v_[444] * v_[10] - v_[2] * v_[6];
+ v_[379] = v_[379] * v_[10] - v_[377] * v_[6];
+ v_[377] = 2. * v_[379];
+ v_[10] = v_[22] * v_[2] + v_[377] * v_[0];
+ v_[6] = v_[22] * v_[378] + v_[377] * v_[19];
+ v_[444] = v_[12] * v_[2] + v_[1] * v_[0];
+ v_[7] = v_[12] * v_[7] + v_[1] * v_[11];
+ v_[377] = v_[22] * v_[379] + v_[377] * v_[21];
+ jac[24] = (v_[387] + v_[10]) * v_[34] + (v_[6] - v_[444]) * v_[43] + (0 - v_[7] - v_[377]) * v_[46];
+ v_[379] = v_[12] * v_[379] + v_[1] * v_[21];
+ v_[1] = 2. * v_[378];
+ v_[2] = v_[18] * v_[2] + v_[1] * v_[0];
+ v_[1] = v_[18] * v_[378] + v_[1] * v_[19];
+ jac[25] = (v_[379] - v_[2]) * v_[34] + (0 - v_[7] - v_[1]) * v_[43] + (v_[6] + v_[444]) * v_[46];
+ jac[26] = (0 - v_[377] - v_[1]) * v_[34] + (v_[379] + v_[2]) * v_[43] + (v_[387] - v_[10]) * v_[46];
+ v_[1] = -0.5 * sin(v_[15]);
+ v_[2] = v_[36] * v_[1];
+ v_[15] = 0.5 * cos(v_[15]);
+ v_[379] = v_[13] * v_[15];
+ v_[377] = v_[2] * v_[48] + v_[379] * v_[17];
+ v_[1] = v_[13] * v_[1];
+ v_[15] = v_[36] * v_[15];
+ v_[36] = v_[1] * v_[17] + v_[15] * v_[48];
+ v_[13] = 2. * v_[36];
+ v_[10] = v_[50] * v_[377] + v_[13] * v_[57];
+ v_[15] = v_[1] * v_[48] - v_[15] * v_[17];
+ v_[379] = v_[379] * v_[48] - v_[2] * v_[17];
+ v_[2] = 2. * v_[379];
+ v_[48] = v_[60] * v_[15] + v_[2] * v_[47];
+ v_[17] = v_[60] * v_[377] + v_[2] * v_[57];
+ v_[1] = v_[50] * v_[15] + v_[13] * v_[47];
+ v_[36] = v_[50] * v_[36] + v_[13] * v_[49];
+ v_[2] = v_[60] * v_[379] + v_[2] * v_[59];
+ jac[27] = (v_[10] + v_[48]) * v_[87] + (v_[17] - v_[1]) * v_[108] + (0 - v_[36] - v_[2]) * v_[115];
+ v_[379] = v_[50] * v_[379] + v_[13] * v_[59];
+ v_[13] = 2. * v_[377];
+ v_[15] = v_[56] * v_[15] + v_[13] * v_[47];
+ v_[13] = v_[56] * v_[377] + v_[13] * v_[57];
+ jac[28] = (v_[379] - v_[15]) * v_[87] + (0 - v_[36] - v_[13]) * v_[108] + (v_[17] + v_[1]) * v_[115];
+ jac[29] = (0 - v_[2] - v_[13]) * v_[87] + (v_[379] + v_[15]) * v_[108] + (v_[10] - v_[48]) * v_[115];
+ v_[13] = -0.5 * sin(v_[53]);
+ v_[15] = v_[89] * v_[13];
+ v_[53] = 0.5 * cos(v_[53]);
+ v_[379] = v_[51] * v_[53];
+ v_[2] = v_[15] * v_[117] + v_[379] * v_[55];
+ v_[13] = v_[51] * v_[13];
+ v_[53] = v_[89] * v_[53];
+ v_[89] = v_[13] * v_[55] + v_[53] * v_[117];
+ v_[51] = 2. * v_[89];
+ v_[48] = v_[119] * v_[2] + v_[51] * v_[126];
+ v_[53] = v_[13] * v_[117] - v_[53] * v_[55];
+ v_[379] = v_[379] * v_[117] - v_[15] * v_[55];
+ v_[15] = 2. * v_[379];
+ v_[117] = v_[129] * v_[53] + v_[15] * v_[116];
+ v_[55] = v_[129] * v_[2] + v_[15] * v_[126];
+ v_[13] = v_[119] * v_[53] + v_[51] * v_[116];
+ v_[89] = v_[119] * v_[89] + v_[51] * v_[118];
+ v_[15] = v_[129] * v_[379] + v_[15] * v_[128];
+ jac[30] = (v_[48] + v_[117]) * v_[141] + (v_[55] - v_[13]) * v_[150] + (0 - v_[89] - v_[15]) * v_[153];
+ v_[379] = v_[119] * v_[379] + v_[51] * v_[128];
+ v_[51] = 2. * v_[2];
+ v_[53] = v_[125] * v_[53] + v_[51] * v_[116];
+ v_[51] = v_[125] * v_[2] + v_[51] * v_[126];
+ jac[31] = (v_[379] - v_[53]) * v_[141] + (0 - v_[89] - v_[51]) * v_[150] + (v_[55] + v_[13]) * v_[153];
+ jac[32] = (0 - v_[15] - v_[51]) * v_[141] + (v_[379] + v_[53]) * v_[150] + (v_[48] - v_[117]) * v_[153];
+ v_[51] = -0.5 * sin(v_[122]);
+ v_[53] = v_[143] * v_[51];
+ v_[122] = 0.5 * cos(v_[122]);
+ v_[379] = v_[120] * v_[122];
+ v_[15] = v_[53] * v_[155] + v_[379] * v_[124];
+ v_[51] = v_[120] * v_[51];
+ v_[122] = v_[143] * v_[122];
+ v_[143] = v_[51] * v_[124] + v_[122] * v_[155];
+ v_[120] = 2. * v_[143];
+ v_[117] = v_[157] * v_[15] + v_[120] * v_[164];
+ v_[122] = v_[51] * v_[155] - v_[122] * v_[124];
+ v_[379] = v_[379] * v_[155] - v_[53] * v_[124];
+ v_[53] = 2. * v_[379];
+ v_[155] = v_[167] * v_[122] + v_[53] * v_[154];
+ v_[124] = v_[167] * v_[15] + v_[53] * v_[164];
+ v_[51] = v_[157] * v_[122] + v_[120] * v_[154];
+ v_[143] = v_[157] * v_[143] + v_[120] * v_[156];
+ v_[53] = v_[167] * v_[379] + v_[53] * v_[166];
+ jac[33] = (v_[117] + v_[155]) * v_[194] + (v_[124] - v_[51]) * v_[217] + (0 - v_[143] - v_[53]) * v_[224];
+ v_[379] = v_[157] * v_[379] + v_[120] * v_[166];
+ v_[120] = 2. * v_[15];
+ v_[122] = v_[163] * v_[122] + v_[120] * v_[154];
+ v_[120] = v_[163] * v_[15] + v_[120] * v_[164];
+ jac[34] = (v_[379] - v_[122]) * v_[194] + (0 - v_[143] - v_[120]) * v_[217] + (v_[124] + v_[51]) * v_[224];
+ jac[35] = (0 - v_[53] - v_[120]) * v_[194] + (v_[379] + v_[122]) * v_[217] + (v_[117] - v_[155]) * v_[224];
+ v_[120] = -0.5 * sin(v_[160]);
+ v_[122] = v_[196] * v_[120];
+ v_[160] = 0.5 * cos(v_[160]);
+ v_[379] = v_[158] * v_[160];
+ v_[53] = v_[122] * v_[226] + v_[379] * v_[162];
+ v_[120] = v_[158] * v_[120];
+ v_[160] = v_[196] * v_[160];
+ v_[196] = v_[120] * v_[162] + v_[160] * v_[226];
+ v_[158] = 2. * v_[196];
+ v_[155] = v_[228] * v_[53] + v_[158] * v_[235];
+ v_[160] = v_[120] * v_[226] - v_[160] * v_[162];
+ v_[379] = v_[379] * v_[226] - v_[122] * v_[162];
+ v_[122] = 2. * v_[379];
+ v_[226] = v_[238] * v_[160] + v_[122] * v_[225];
+ v_[162] = v_[238] * v_[53] + v_[122] * v_[235];
+ v_[120] = v_[228] * v_[160] + v_[158] * v_[225];
+ v_[196] = v_[228] * v_[196] + v_[158] * v_[227];
+ v_[122] = v_[238] * v_[379] + v_[122] * v_[237];
+ jac[36] = (v_[155] + v_[226]) * v_[250] + (v_[162] - v_[120]) * v_[259] + (0 - v_[196] - v_[122]) * v_[262];
+ v_[379] = v_[228] * v_[379] + v_[158] * v_[237];
+ v_[158] = 2. * v_[53];
+ v_[160] = v_[234] * v_[160] + v_[158] * v_[225];
+ v_[158] = v_[234] * v_[53] + v_[158] * v_[235];
+ jac[37] = (v_[379] - v_[160]) * v_[250] + (0 - v_[196] - v_[158]) * v_[259] + (v_[162] + v_[120]) * v_[262];
+ jac[38] = (0 - v_[122] - v_[158]) * v_[250] + (v_[379] + v_[160]) * v_[259] + (v_[155] - v_[226]) * v_[262];
+ v_[158] = -0.5 * sin(v_[231]);
+ v_[160] = v_[252] * v_[158];
+ v_[231] = 0.5 * cos(v_[231]);
+ v_[379] = v_[229] * v_[231];
+ v_[122] = v_[160] * v_[264] + v_[379] * v_[233];
+ v_[158] = v_[229] * v_[158];
+ v_[231] = v_[252] * v_[231];
+ v_[252] = v_[158] * v_[233] + v_[231] * v_[264];
+ v_[229] = 2. * v_[252];
+ v_[226] = v_[266] * v_[122] + v_[229] * v_[273];
+ v_[231] = v_[158] * v_[264] - v_[231] * v_[233];
+ v_[379] = v_[379] * v_[264] - v_[160] * v_[233];
+ v_[160] = 2. * v_[379];
+ v_[264] = v_[276] * v_[231] + v_[160] * v_[263];
+ v_[233] = v_[276] * v_[122] + v_[160] * v_[273];
+ v_[158] = v_[266] * v_[231] + v_[229] * v_[263];
+ v_[252] = v_[266] * v_[252] + v_[229] * v_[265];
+ v_[160] = v_[276] * v_[379] + v_[160] * v_[275];
+ jac[39] = (v_[226] + v_[264]) * v_[304] + (v_[233] - v_[158]) * v_[327] + (0 - v_[252] - v_[160]) * v_[334];
+ v_[379] = v_[266] * v_[379] + v_[229] * v_[275];
+ v_[229] = 2. * v_[122];
+ v_[231] = v_[272] * v_[231] + v_[229] * v_[263];
+ v_[229] = v_[272] * v_[122] + v_[229] * v_[273];
+ jac[40] = (v_[379] - v_[231]) * v_[304] + (0 - v_[252] - v_[229]) * v_[327] + (v_[233] + v_[158]) * v_[334];
+ jac[41] = (0 - v_[160] - v_[229]) * v_[304] + (v_[379] + v_[231]) * v_[327] + (v_[226] - v_[264]) * v_[334];
+ v_[229] = -0.5 * sin(v_[269]);
+ v_[231] = v_[306] * v_[229];
+ v_[269] = 0.5 * cos(v_[269]);
+ v_[379] = v_[267] * v_[269];
+ v_[160] = v_[231] * v_[336] + v_[379] * v_[271];
+ v_[229] = v_[267] * v_[229];
+ v_[269] = v_[306] * v_[269];
+ v_[306] = v_[229] * v_[271] + v_[269] * v_[336];
+ v_[267] = 2. * v_[306];
+ v_[264] = v_[338] * v_[160] + v_[267] * v_[345];
+ v_[269] = v_[229] * v_[336] - v_[269] * v_[271];
+ v_[379] = v_[379] * v_[336] - v_[231] * v_[271];
+ v_[231] = 2. * v_[379];
+ v_[336] = v_[348] * v_[269] + v_[231] * v_[335];
+ v_[271] = v_[348] * v_[160] + v_[231] * v_[345];
+ v_[229] = v_[338] * v_[269] + v_[267] * v_[335];
+ v_[306] = v_[338] * v_[306] + v_[267] * v_[337];
+ v_[231] = v_[348] * v_[379] + v_[231] * v_[347];
+ jac[42] = (v_[264] + v_[336]) * v_[360] + (v_[271] - v_[229]) * v_[369] + (0 - v_[306] - v_[231]) * v_[372];
+ v_[379] = v_[338] * v_[379] + v_[267] * v_[347];
+ v_[267] = 2. * v_[160];
+ v_[269] = v_[344] * v_[269] + v_[267] * v_[335];
+ v_[267] = v_[344] * v_[160] + v_[267] * v_[345];
+ jac[43] = (v_[379] - v_[269]) * v_[360] + (0 - v_[306] - v_[267]) * v_[369] + (v_[271] + v_[229]) * v_[372];
+ jac[44] = (0 - v_[231] - v_[267]) * v_[360] + (v_[379] + v_[269]) * v_[369] + (v_[264] - v_[336]) * v_[372];
+ v_[267] = -0.5 * sin(v_[341]);
+ v_[269] = v_[362] * v_[267];
+ v_[341] = 0.5 * cos(v_[341]);
+ v_[379] = v_[339] * v_[341];
+ v_[231] = v_[269] * v_[374] + v_[379] * v_[343];
+ v_[267] = v_[339] * v_[267];
+ v_[341] = v_[362] * v_[341];
+ v_[362] = v_[267] * v_[343] + v_[341] * v_[374];
+ v_[339] = 2. * v_[362];
+ v_[336] = v_[376] * v_[231] + v_[339] * v_[383];
+ v_[341] = v_[267] * v_[374] - v_[341] * v_[343];
+ v_[379] = v_[379] * v_[374] - v_[269] * v_[343];
+ v_[269] = 2. * v_[379];
+ v_[374] = v_[386] * v_[341] + v_[269] * v_[373];
+ v_[343] = v_[386] * v_[231] + v_[269] * v_[383];
+ v_[267] = v_[376] * v_[341] + v_[339] * v_[373];
+ v_[362] = v_[376] * v_[362] + v_[339] * v_[375];
+ v_[269] = v_[386] * v_[379] + v_[269] * v_[385];
+ jac[45] = (v_[336] + v_[374]) * v_[413] + (v_[343] - v_[267]) * v_[436] + (0 - v_[362] - v_[269]) * v_[443];
+ v_[379] = v_[376] * v_[379] + v_[339] * v_[385];
+ v_[339] = 2. * v_[231];
+ v_[341] = v_[382] * v_[341] + v_[339] * v_[373];
+ v_[339] = v_[382] * v_[231] + v_[339] * v_[383];
+ jac[46] = (v_[379] - v_[341]) * v_[413] + (0 - v_[362] - v_[339]) * v_[436] + (v_[343] + v_[267]) * v_[443];
+ jac[47] = (0 - v_[269] - v_[339]) * v_[413] + (v_[379] + v_[341]) * v_[436] + (v_[336] - v_[374]) * v_[443];
+ v_[339] = -0.5 * sin(v_[5]);
+ v_[5] = 0.5 * cos(v_[5]);
+ v_[341] = v_[3] * v_[339] + v_[8] * v_[5];
+ v_[379] = v_[4] * v_[5] + v_[9] * v_[339];
+ v_[269] = 2. * v_[379];
+ v_[374] = v_[12] * v_[341] + v_[269] * v_[19];
+ v_[9] = v_[4] * v_[339] - v_[9] * v_[5];
+ v_[5] = v_[8] * v_[339] - v_[3] * v_[5];
+ v_[339] = 2. * v_[5];
+ v_[8] = v_[22] * v_[9] + v_[339] * v_[0];
+ v_[3] = v_[22] * v_[341] + v_[339] * v_[19];
+ v_[4] = v_[12] * v_[9] + v_[269] * v_[0];
+ v_[379] = v_[12] * v_[379] + v_[269] * v_[11];
+ v_[339] = v_[22] * v_[5] + v_[339] * v_[21];
+ jac[48] = (v_[374] + v_[8]) * v_[34] + (v_[3] - v_[4]) * v_[43] + (0 - v_[379] - v_[339]) * v_[46];
+ v_[5] = v_[12] * v_[5] + v_[269] * v_[21];
+ v_[269] = 2. * v_[341];
+ v_[9] = v_[18] * v_[9] + v_[269] * v_[0];
+ v_[269] = v_[18] * v_[341] + v_[269] * v_[19];
+ jac[49] = (v_[5] - v_[9]) * v_[34] + (0 - v_[379] - v_[269]) * v_[43] + (v_[3] + v_[4]) * v_[46];
+ jac[50] = (0 - v_[339] - v_[269]) * v_[34] + (v_[5] + v_[9]) * v_[43] + (v_[374] - v_[8]) * v_[46];
+ v_[269] = -0.5 * sin(v_[20]);
+ v_[20] = 0.5 * cos(v_[20]);
+ v_[9] = v_[14] * v_[269] + v_[35] * v_[20];
+ v_[5] = v_[23] * v_[20] + v_[16] * v_[269];
+ v_[339] = 2. * v_[5];
+ v_[8] = v_[50] * v_[9] + v_[339] * v_[57];
+ v_[16] = v_[23] * v_[269] - v_[16] * v_[20];
+ v_[20] = v_[35] * v_[269] - v_[14] * v_[20];
+ v_[269] = 2. * v_[20];
+ v_[35] = v_[60] * v_[16] + v_[269] * v_[47];
+ v_[14] = v_[60] * v_[9] + v_[269] * v_[57];
+ v_[23] = v_[50] * v_[16] + v_[339] * v_[47];
+ v_[5] = v_[50] * v_[5] + v_[339] * v_[49];
+ v_[269] = v_[60] * v_[20] + v_[269] * v_[59];
+ jac[51] = (v_[8] + v_[35]) * v_[87] + (v_[14] - v_[23]) * v_[108] + (0 - v_[5] - v_[269]) * v_[115];
+ v_[20] = v_[50] * v_[20] + v_[339] * v_[59];
+ v_[339] = 2. * v_[9];
+ v_[16] = v_[56] * v_[16] + v_[339] * v_[47];
+ v_[339] = v_[56] * v_[9] + v_[339] * v_[57];
+ jac[52] = (v_[20] - v_[16]) * v_[87] + (0 - v_[5] - v_[339]) * v_[108] + (v_[14] + v_[23]) * v_[115];
+ jac[53] = (0 - v_[269] - v_[339]) * v_[87] + (v_[20] + v_[16]) * v_[108] + (v_[8] - v_[35]) * v_[115];
+ v_[339] = -0.5 * sin(v_[58]);
+ v_[58] = 0.5 * cos(v_[58]);
+ v_[16] = v_[52] * v_[339] + v_[88] * v_[58];
+ v_[20] = v_[61] * v_[58] + v_[54] * v_[339];
+ v_[269] = 2. * v_[20];
+ v_[35] = v_[119] * v_[16] + v_[269] * v_[126];
+ v_[54] = v_[61] * v_[339] - v_[54] * v_[58];
+ v_[58] = v_[88] * v_[339] - v_[52] * v_[58];
+ v_[339] = 2. * v_[58];
+ v_[88] = v_[129] * v_[54] + v_[339] * v_[116];
+ v_[52] = v_[129] * v_[16] + v_[339] * v_[126];
+ v_[61] = v_[119] * v_[54] + v_[269] * v_[116];
+ v_[20] = v_[119] * v_[20] + v_[269] * v_[118];
+ v_[339] = v_[129] * v_[58] + v_[339] * v_[128];
+ jac[54] = (v_[35] + v_[88]) * v_[141] + (v_[52] - v_[61]) * v_[150] + (0 - v_[20] - v_[339]) * v_[153];
+ v_[58] = v_[119] * v_[58] + v_[269] * v_[128];
+ v_[269] = 2. * v_[16];
+ v_[54] = v_[125] * v_[54] + v_[269] * v_[116];
+ v_[269] = v_[125] * v_[16] + v_[269] * v_[126];
+ jac[55] = (v_[58] - v_[54]) * v_[141] + (0 - v_[20] - v_[269]) * v_[150] + (v_[52] + v_[61]) * v_[153];
+ jac[56] = (0 - v_[339] - v_[269]) * v_[141] + (v_[58] + v_[54]) * v_[150] + (v_[35] - v_[88]) * v_[153];
+ v_[269] = -0.5 * sin(v_[127]);
+ v_[127] = 0.5 * cos(v_[127]);
+ v_[54] = v_[121] * v_[269] + v_[142] * v_[127];
+ v_[58] = v_[130] * v_[127] + v_[123] * v_[269];
+ v_[339] = 2. * v_[58];
+ v_[88] = v_[157] * v_[54] + v_[339] * v_[164];
+ v_[123] = v_[130] * v_[269] - v_[123] * v_[127];
+ v_[127] = v_[142] * v_[269] - v_[121] * v_[127];
+ v_[269] = 2. * v_[127];
+ v_[142] = v_[167] * v_[123] + v_[269] * v_[154];
+ v_[121] = v_[167] * v_[54] + v_[269] * v_[164];
+ v_[130] = v_[157] * v_[123] + v_[339] * v_[154];
+ v_[58] = v_[157] * v_[58] + v_[339] * v_[156];
+ v_[269] = v_[167] * v_[127] + v_[269] * v_[166];
+ jac[57] = (v_[88] + v_[142]) * v_[194] + (v_[121] - v_[130]) * v_[217] + (0 - v_[58] - v_[269]) * v_[224];
+ v_[127] = v_[157] * v_[127] + v_[339] * v_[166];
+ v_[339] = 2. * v_[54];
+ v_[123] = v_[163] * v_[123] + v_[339] * v_[154];
+ v_[339] = v_[163] * v_[54] + v_[339] * v_[164];
+ jac[58] = (v_[127] - v_[123]) * v_[194] + (0 - v_[58] - v_[339]) * v_[217] + (v_[121] + v_[130]) * v_[224];
+ jac[59] = (0 - v_[269] - v_[339]) * v_[194] + (v_[127] + v_[123]) * v_[217] + (v_[88] - v_[142]) * v_[224];
+ v_[339] = -0.5 * sin(v_[165]);
+ v_[165] = 0.5 * cos(v_[165]);
+ v_[123] = v_[159] * v_[339] + v_[195] * v_[165];
+ v_[127] = v_[168] * v_[165] + v_[161] * v_[339];
+ v_[269] = 2. * v_[127];
+ v_[142] = v_[228] * v_[123] + v_[269] * v_[235];
+ v_[161] = v_[168] * v_[339] - v_[161] * v_[165];
+ v_[165] = v_[195] * v_[339] - v_[159] * v_[165];
+ v_[339] = 2. * v_[165];
+ v_[195] = v_[238] * v_[161] + v_[339] * v_[225];
+ v_[159] = v_[238] * v_[123] + v_[339] * v_[235];
+ v_[168] = v_[228] * v_[161] + v_[269] * v_[225];
+ v_[127] = v_[228] * v_[127] + v_[269] * v_[227];
+ v_[339] = v_[238] * v_[165] + v_[339] * v_[237];
+ jac[60] = (v_[142] + v_[195]) * v_[250] + (v_[159] - v_[168]) * v_[259] + (0 - v_[127] - v_[339]) * v_[262];
+ v_[165] = v_[228] * v_[165] + v_[269] * v_[237];
+ v_[269] = 2. * v_[123];
+ v_[161] = v_[234] * v_[161] + v_[269] * v_[225];
+ v_[269] = v_[234] * v_[123] + v_[269] * v_[235];
+ jac[61] = (v_[165] - v_[161]) * v_[250] + (0 - v_[127] - v_[269]) * v_[259] + (v_[159] + v_[168]) * v_[262];
+ jac[62] = (0 - v_[339] - v_[269]) * v_[250] + (v_[165] + v_[161]) * v_[259] + (v_[142] - v_[195]) * v_[262];
+ v_[269] = -0.5 * sin(v_[236]);
+ v_[236] = 0.5 * cos(v_[236]);
+ v_[161] = v_[230] * v_[269] + v_[251] * v_[236];
+ v_[165] = v_[239] * v_[236] + v_[232] * v_[269];
+ v_[339] = 2. * v_[165];
+ v_[195] = v_[266] * v_[161] + v_[339] * v_[273];
+ v_[232] = v_[239] * v_[269] - v_[232] * v_[236];
+ v_[236] = v_[251] * v_[269] - v_[230] * v_[236];
+ v_[269] = 2. * v_[236];
+ v_[251] = v_[276] * v_[232] + v_[269] * v_[263];
+ v_[230] = v_[276] * v_[161] + v_[269] * v_[273];
+ v_[239] = v_[266] * v_[232] + v_[339] * v_[263];
+ v_[165] = v_[266] * v_[165] + v_[339] * v_[265];
+ v_[269] = v_[276] * v_[236] + v_[269] * v_[275];
+ jac[63] = (v_[195] + v_[251]) * v_[304] + (v_[230] - v_[239]) * v_[327] + (0 - v_[165] - v_[269]) * v_[334];
+ v_[236] = v_[266] * v_[236] + v_[339] * v_[275];
+ v_[339] = 2. * v_[161];
+ v_[232] = v_[272] * v_[232] + v_[339] * v_[263];
+ v_[339] = v_[272] * v_[161] + v_[339] * v_[273];
+ jac[64] = (v_[236] - v_[232]) * v_[304] + (0 - v_[165] - v_[339]) * v_[327] + (v_[230] + v_[239]) * v_[334];
+ jac[65] = (0 - v_[269] - v_[339]) * v_[304] + (v_[236] + v_[232]) * v_[327] + (v_[195] - v_[251]) * v_[334];
+ v_[339] = -0.5 * sin(v_[274]);
+ v_[274] = 0.5 * cos(v_[274]);
+ v_[232] = v_[268] * v_[339] + v_[305] * v_[274];
+ v_[236] = v_[277] * v_[274] + v_[270] * v_[339];
+ v_[269] = 2. * v_[236];
+ v_[251] = v_[338] * v_[232] + v_[269] * v_[345];
+ v_[270] = v_[277] * v_[339] - v_[270] * v_[274];
+ v_[274] = v_[305] * v_[339] - v_[268] * v_[274];
+ v_[339] = 2. * v_[274];
+ v_[305] = v_[348] * v_[270] + v_[339] * v_[335];
+ v_[268] = v_[348] * v_[232] + v_[339] * v_[345];
+ v_[277] = v_[338] * v_[270] + v_[269] * v_[335];
+ v_[236] = v_[338] * v_[236] + v_[269] * v_[337];
+ v_[339] = v_[348] * v_[274] + v_[339] * v_[347];
+ jac[66] = (v_[251] + v_[305]) * v_[360] + (v_[268] - v_[277]) * v_[369] + (0 - v_[236] - v_[339]) * v_[372];
+ v_[274] = v_[338] * v_[274] + v_[269] * v_[347];
+ v_[269] = 2. * v_[232];
+ v_[270] = v_[344] * v_[270] + v_[269] * v_[335];
+ v_[269] = v_[344] * v_[232] + v_[269] * v_[345];
+ jac[67] = (v_[274] - v_[270]) * v_[360] + (0 - v_[236] - v_[269]) * v_[369] + (v_[268] + v_[277]) * v_[372];
+ jac[68] = (0 - v_[339] - v_[269]) * v_[360] + (v_[274] + v_[270]) * v_[369] + (v_[251] - v_[305]) * v_[372];
+ v_[269] = -0.5 * sin(v_[346]);
+ v_[346] = 0.5 * cos(v_[346]);
+ v_[270] = v_[340] * v_[269] + v_[361] * v_[346];
+ v_[274] = v_[349] * v_[346] + v_[342] * v_[269];
+ v_[339] = 2. * v_[274];
+ v_[305] = v_[376] * v_[270] + v_[339] * v_[383];
+ v_[342] = v_[349] * v_[269] - v_[342] * v_[346];
+ v_[346] = v_[361] * v_[269] - v_[340] * v_[346];
+ v_[269] = 2. * v_[346];
+ v_[361] = v_[386] * v_[342] + v_[269] * v_[373];
+ v_[340] = v_[386] * v_[270] + v_[269] * v_[383];
+ v_[349] = v_[376] * v_[342] + v_[339] * v_[373];
+ v_[274] = v_[376] * v_[274] + v_[339] * v_[375];
+ v_[269] = v_[386] * v_[346] + v_[269] * v_[385];
+ jac[69] = (v_[305] + v_[361]) * v_[413] + (v_[340] - v_[349]) * v_[436] + (0 - v_[274] - v_[269]) * v_[443];
+ v_[346] = v_[376] * v_[346] + v_[339] * v_[385];
+ v_[339] = 2. * v_[270];
+ v_[342] = v_[382] * v_[342] + v_[339] * v_[373];
+ v_[339] = v_[382] * v_[270] + v_[339] * v_[383];
+ jac[70] = (v_[346] - v_[342]) * v_[413] + (0 - v_[274] - v_[339]) * v_[436] + (v_[340] + v_[349]) * v_[443];
+ jac[71] = (0 - v_[269] - v_[339]) * v_[413] + (v_[346] + v_[342]) * v_[436] + (v_[305] - v_[361]) * v_[443];
+ v_[339] = v_[12] * v_[19];
+ v_[342] = v_[22] * v_[0];
+ v_[346] = v_[339] + v_[342];
+ v_[269] = -1 * sin(x_in[6]);
+ v_[361] = 0.33 * v_[269] * v_[26] * v_[28] - 0.33 * v_[269] * v_[30] * v_[32] - 0.35 * v_[269] * v_[30] - 0.08 * v_[269];
+ v_[305] = v_[22] * v_[19];
+ v_[443] = v_[12] * v_[0];
+ v_[436] = v_[305] - v_[443];
+ v_[413] = cos(x_in[6]);
+ v_[274] = 0.33 * v_[413] * v_[26] * v_[28] - 0.33 * v_[413] * v_[30] * v_[32] - 0.35 * v_[413] * v_[30] - 0.08 * v_[413];
+ jac[144] = v_[346] * v_[361] + v_[436] * v_[274];
+ v_[349] = v_[12] * v_[21];
+ v_[0] = v_[18] * v_[0];
+ v_[340] = v_[349] - v_[0];
+ v_[12] = v_[12] * v_[11];
+ v_[18] = v_[18] * v_[19];
+ v_[19] = 1 - v_[12] - v_[18];
+ jac[145] = v_[340] * v_[361] + v_[19] * v_[274];
+ v_[22] = v_[22] * v_[21];
+ v_[18] = 1 - v_[22] - v_[18];
+ v_[0] = v_[349] + v_[0];
+ jac[146] = v_[18] * v_[361] + v_[0] * v_[274];
+ v_[274] = v_[50] * v_[57];
+ v_[361] = v_[60] * v_[47];
+ jac[555] = v_[274] + v_[361];
+ jac[509] = v_[274] - v_[361];
+ v_[361] = 0.33 * v_[269];
+ v_[274] = 0.33 * v_[413] * v_[26] * v_[28] - 0.33 * v_[413] * v_[30] * v_[32] - 0.35 * v_[413] * v_[30] - 0.08 * v_[413];
+ v_[361] = (v_[361] * v_[30] * v_[28] + 0.33 * v_[269] * v_[26] * v_[32]) * x_in[26] + (v_[361] * v_[26] * v_[32] + 0.33 * v_[269] * v_[30] * v_[28] + 0.35 * v_[269] * v_[26]) * x_in[25] + (0.33 * v_[413] * v_[30] * v_[32] + -0.33 * v_[413] * v_[26] * v_[28] + 0.35 * v_[413] * v_[30] + 0.08 * v_[413]) * x_in[24] + x_in[18] * v_[274];
+ v_[349] = v_[60] * v_[57];
+ v_[21] = v_[50] * v_[47];
+ jac[531] = v_[349] - v_[21];
+ jac[508] = v_[349] + v_[21];
+ jac[579] = jac[555] * v_[77] + jac[531] * v_[104];
+ v_[21] = 0.33 * v_[413];
+ v_[349] = 0.33 * v_[269] * v_[30];
+ v_[11] = 0.33 * v_[269] * v_[26] * v_[28] - v_[349] * v_[32] - 0.35 * v_[269] * v_[30] - 0.08 * v_[269];
+ v_[349] = (v_[21] * v_[30] * v_[28] + 0.33 * v_[413] * v_[26] * v_[32]) * x_in[26] + (v_[21] * v_[26] * v_[32] + 0.33 * v_[413] * v_[30] * v_[28] + 0.35 * v_[413] * v_[26]) * x_in[25] + (0.33 * v_[269] * v_[26] * v_[28] - v_[349] * v_[32] - 0.35 * v_[269] * v_[30] - 0.08 * v_[269]) * x_in[24] - x_in[18] * v_[11];
+ v_[49] = v_[50] * v_[49];
+ v_[60] = v_[60] * v_[59];
+ jac[507] = 1 - v_[49] - v_[60];
+ jac[603] = jac[555] * v_[71] + jac[531] * v_[98] + jac[507] * v_[114];
+ jac[627] = jac[555] * v_[66] + jac[531] * v_[94] + jac[507] * v_[111];
+ v_[11] = x_in[19] * v_[11] - x_in[20] * v_[274];
+ jac[147] = jac[555] * v_[361] + jac[531] * v_[349] + jac[507] * v_[11];
+ v_[59] = v_[50] * v_[59];
+ v_[47] = v_[56] * v_[47];
+ jac[556] = v_[59] - v_[47];
+ jac[533] = v_[59] + v_[47];
+ v_[56] = v_[56] * v_[57];
+ jac[532] = 1 - v_[49] - v_[56];
+ jac[148] = jac[556] * v_[361] + jac[532] * v_[349] + jac[508] * v_[11];
+ jac[557] = 1 - v_[60] - v_[56];
+ jac[149] = jac[557] * v_[361] + jac[533] * v_[349] + jac[509] * v_[11];
+ jac[580] = jac[556] * v_[77] + jac[532] * v_[104];
+ jac[581] = jac[557] * v_[77] + jac[533] * v_[104];
+ jac[604] = jac[556] * v_[71] + jac[532] * v_[98] + jac[508] * v_[114];
+ jac[605] = jac[557] * v_[71] + jac[533] * v_[98] + jac[509] * v_[114];
+ jac[628] = jac[556] * v_[66] + jac[532] * v_[94] + jac[508] * v_[111];
+ jac[629] = jac[557] * v_[66] + jac[533] * v_[94] + jac[509] * v_[111];
+ v_[111] = cos(x_in[7]);
+ v_[94] = -1 * sin(x_in[7]);
+ v_[33] = v_[25] * v_[111] * v_[28] - v_[29] * v_[94] * v_[32] - v_[33] * v_[94];
+ v_[42] = v_[38] * v_[111] * v_[28] - v_[40] * v_[94] * v_[32] - v_[42] * v_[94];
+ v_[22] = 1 - v_[12] - v_[22];
+ v_[12] = -0.33 * v_[94] * v_[28] - 0.33 * v_[111] * v_[32] - 0.35 * v_[111];
+ jac[168] = v_[346] * v_[33] + v_[436] * v_[42] + v_[22] * v_[12];
+ v_[443] = v_[305] + v_[443];
+ jac[169] = v_[340] * v_[33] + v_[19] * v_[42] + v_[443] * v_[12];
+ v_[342] = v_[339] - v_[342];
+ jac[170] = v_[18] * v_[33] + v_[0] * v_[42] + v_[342] * v_[12];
+ v_[82] = v_[78] * v_[111] * v_[28] - v_[80] * v_[94] * v_[32] - v_[82] * v_[94];
+ v_[80] = -0.33 * v_[94] * v_[28] - 0.33 * v_[111] * v_[32] - 0.35 * v_[111];
+ v_[76] = (v_[62] * v_[94] * v_[28] + v_[64] * v_[111] * v_[32]) * x_in[26] + (v_[62] * v_[111] * v_[32] + v_[68] * v_[94] * v_[28] + v_[70] * v_[111]) * x_in[25] + (v_[72] * v_[94] * v_[32] + v_[74] * v_[111] * v_[28] + v_[76] * v_[94]) * x_in[24] + x_in[18] * v_[82] - x_in[19] * v_[80];
+ v_[101] = v_[101] * v_[94];
+ v_[107] = v_[105] * v_[111] * v_[28] - v_[101] * v_[32] - v_[107] * v_[94];
+ v_[101] = (v_[90] * v_[94] * v_[28] + v_[92] * v_[111] * v_[32]) * x_in[26] + (v_[90] * v_[111] * v_[32] + v_[96] * v_[94] * v_[28] + v_[37] * v_[111]) * x_in[25] + (v_[99] * v_[111] * v_[28] - v_[101] * v_[32] - v_[103] * v_[94]) * x_in[24] + x_in[20] * v_[80] - x_in[18] * v_[107];
+ v_[107] = (0.33 * v_[111] * v_[28] - 0.33 * v_[94] * v_[32]) * x_in[26] + (0.33 * v_[111] * v_[28] - 0.33 * v_[94] * v_[32] - 0.35 * v_[94]) * x_in[25] + x_in[19] * v_[107] - x_in[20] * v_[82];
+ jac[171] = jac[555] * v_[76] + jac[531] * v_[101] + jac[507] * v_[107];
+ jac[172] = jac[556] * v_[76] + jac[532] * v_[101] + jac[508] * v_[107];
+ jac[173] = jac[557] * v_[76] + jac[533] * v_[101] + jac[509] * v_[107];
+ v_[107] = cos(x_in[8]);
+ v_[101] = -1 * sin(x_in[8]);
+ v_[31] = v_[27] * v_[107] - v_[31] * v_[101];
+ v_[41] = v_[39] * v_[107] - v_[41] * v_[101];
+ v_[45] = v_[44] * v_[107] - v_[45] * v_[101];
+ jac[192] = v_[346] * v_[31] + v_[436] * v_[41] + v_[22] * v_[45];
+ jac[193] = v_[340] * v_[31] + v_[19] * v_[41] + v_[443] * v_[45];
+ jac[194] = v_[18] * v_[31] + v_[0] * v_[41] + v_[342] * v_[45];
+ v_[81] = v_[79] * v_[107] - v_[81] * v_[101];
+ v_[85] = v_[84] * v_[107] - v_[85] * v_[101];
+ v_[75] = (v_[63] * v_[107] + v_[65] * v_[101]) * x_in[26] + (v_[67] * v_[101] + v_[69] * v_[107]) * x_in[25] + (v_[73] * v_[101] + v_[75] * v_[107]) * x_in[24] + x_in[18] * v_[81] - x_in[19] * v_[85];
+ v_[106] = v_[106] * v_[107] - v_[102] * v_[101];
+ v_[85] = (v_[91] * v_[107] + v_[93] * v_[101]) * x_in[26] + (v_[95] * v_[101] + v_[97] * v_[107]) * x_in[25] + (v_[100] * v_[107] - v_[102] * v_[101]) * x_in[24] + x_in[20] * v_[85] - x_in[18] * v_[106];
+ v_[106] = (v_[109] * v_[107] - v_[110] * v_[101]) * x_in[26] + (v_[112] * v_[107] - v_[113] * v_[101]) * x_in[25] + x_in[19] * v_[106] - x_in[20] * v_[81];
+ jac[195] = jac[555] * v_[75] + jac[531] * v_[85] + jac[507] * v_[106];
+ jac[196] = jac[556] * v_[75] + jac[532] * v_[85] + jac[508] * v_[106];
+ jac[197] = jac[557] * v_[75] + jac[533] * v_[85] + jac[509] * v_[106];
+ v_[106] = v_[119] * v_[126];
+ v_[85] = v_[129] * v_[116];
+ v_[75] = v_[106] + v_[85];
+ v_[81] = -1 * sin(x_in[9]);
+ v_[101] = 0.33 * v_[81] * v_[133] * v_[135] - 0.33 * v_[81] * v_[137] * v_[139] - 0.35 * v_[81] * v_[137] - 0.08 * v_[81];
+ v_[107] = v_[129] * v_[126];
+ v_[113] = v_[119] * v_[116];
+ v_[112] = v_[107] - v_[113];
+ v_[110] = cos(x_in[9]);
+ v_[109] = 0.33 * v_[110] * v_[137] * v_[139] + -0.33 * v_[110] * v_[133] * v_[135] + 0.35 * v_[110] * v_[137] + 0.08 * v_[110];
+ jac[222] = v_[75] * v_[101] + v_[112] * v_[109];
+ v_[102] = v_[119] * v_[128];
+ v_[116] = v_[125] * v_[116];
+ v_[100] = v_[102] - v_[116];
+ v_[119] = v_[119] * v_[118];
+ v_[125] = v_[125] * v_[126];
+ v_[126] = 1 - v_[119] - v_[125];
+ jac[223] = v_[100] * v_[101] + v_[126] * v_[109];
+ v_[129] = v_[129] * v_[128];
+ v_[125] = 1 - v_[129] - v_[125];
+ v_[116] = v_[102] + v_[116];
+ jac[224] = v_[125] * v_[101] + v_[116] * v_[109];
+ v_[109] = v_[157] * v_[164];
+ v_[101] = v_[167] * v_[154];
+ jac[561] = v_[109] + v_[101];
+ jac[515] = v_[109] - v_[101];
+ v_[101] = 0.33 * v_[81];
+ v_[109] = -0.33 * v_[110];
+ v_[102] = 0.33 * v_[110] * v_[137] * v_[139] + -0.33 * v_[110] * v_[133] * v_[135] + 0.35 * v_[110] * v_[137] + 0.08 * v_[110];
+ v_[101] = (v_[101] * v_[137] * v_[135] + 0.33 * v_[81] * v_[133] * v_[139]) * x_in[29] + (v_[101] * v_[133] * v_[139] + 0.33 * v_[81] * v_[137] * v_[135] + 0.35 * v_[81] * v_[133]) * x_in[28] + (0.33 * v_[110] * v_[137] * v_[139] + v_[109] * v_[133] * v_[135] + 0.35 * v_[110] * v_[137] + 0.08 * v_[110]) * x_in[27] + x_in[18] * v_[102];
+ v_[128] = v_[167] * v_[164];
+ v_[118] = v_[157] * v_[154];
+ jac[537] = v_[128] - v_[118];
+ jac[514] = v_[128] + v_[118];
+ jac[657] = jac[561] * v_[184] + jac[537] * v_[211];
+ v_[118] = 0.33 * v_[81] * v_[133] * v_[135] - 0.33 * v_[81] * v_[137] * v_[139] - 0.35 * v_[81] * v_[137] - 0.08 * v_[81];
+ v_[109] = (-0.33 * v_[110] * v_[137] * v_[135] - 0.33 * v_[110] * v_[133] * v_[139]) * x_in[29] + (v_[109] * v_[137] * v_[135] - 0.33 * v_[110] * v_[133] * v_[139] - 0.35 * v_[110] * v_[133]) * x_in[28] + (0.33 * v_[81] * v_[137] * v_[139] + -0.33 * v_[81] * v_[133] * v_[135] + 0.35 * v_[81] * v_[137] + 0.08 * v_[81]) * x_in[27] - x_in[18] * v_[118];
+ v_[156] = v_[157] * v_[156];
+ v_[167] = v_[167] * v_[166];
+ jac[513] = 1 - v_[156] - v_[167];
+ jac[681] = jac[561] * v_[178] + jac[537] * v_[205] + jac[513] * v_[223];
+ jac[705] = jac[561] * v_[173] + jac[537] * v_[201] + jac[513] * v_[220];
+ v_[118] = x_in[19] * v_[118] - x_in[20] * v_[102];
+ jac[225] = jac[561] * v_[101] + jac[537] * v_[109] + jac[513] * v_[118];
+ v_[166] = v_[157] * v_[166];
+ v_[154] = v_[163] * v_[154];
+ jac[562] = v_[166] - v_[154];
+ jac[539] = v_[166] + v_[154];
+ v_[163] = v_[163] * v_[164];
+ jac[538] = 1 - v_[156] - v_[163];
+ jac[226] = jac[562] * v_[101] + jac[538] * v_[109] + jac[514] * v_[118];
+ jac[563] = 1 - v_[167] - v_[163];
+ jac[227] = jac[563] * v_[101] + jac[539] * v_[109] + jac[515] * v_[118];
+ jac[658] = jac[562] * v_[184] + jac[538] * v_[211];
+ jac[659] = jac[563] * v_[184] + jac[539] * v_[211];
+ jac[682] = jac[562] * v_[178] + jac[538] * v_[205] + jac[514] * v_[223];
+ jac[683] = jac[563] * v_[178] + jac[539] * v_[205] + jac[515] * v_[223];
+ jac[706] = jac[562] * v_[173] + jac[538] * v_[201] + jac[514] * v_[220];
+ jac[707] = jac[563] * v_[173] + jac[539] * v_[201] + jac[515] * v_[220];
+ v_[220] = cos(x_in[10]);
+ v_[201] = -1 * sin(x_in[10]);
+ v_[140] = v_[132] * v_[220] * v_[135] - v_[136] * v_[201] * v_[139] - v_[140] * v_[201];
+ v_[149] = v_[145] * v_[201] * v_[139] + v_[147] * v_[220] * v_[135] + v_[149] * v_[201];
+ v_[129] = 1 - v_[119] - v_[129];
+ v_[119] = -0.33 * v_[201] * v_[135] - 0.33 * v_[220] * v_[139] - 0.35 * v_[220];
+ jac[246] = v_[75] * v_[140] + v_[112] * v_[149] + v_[129] * v_[119];
+ v_[113] = v_[107] + v_[113];
+ jac[247] = v_[100] * v_[140] + v_[126] * v_[149] + v_[113] * v_[119];
+ v_[85] = v_[106] - v_[85];
+ jac[248] = v_[125] * v_[140] + v_[116] * v_[149] + v_[85] * v_[119];
+ v_[189] = v_[185] * v_[201] * v_[139] + v_[187] * v_[220] * v_[135] + v_[189] * v_[201];
+ v_[187] = -0.33 * v_[201] * v_[135] - 0.33 * v_[220] * v_[139] - 0.35 * v_[220];
+ v_[183] = (v_[169] * v_[201] * v_[135] + v_[171] * v_[220] * v_[139]) * x_in[29] + (v_[169] * v_[220] * v_[139] + v_[175] * v_[201] * v_[135] + v_[177] * v_[220]) * x_in[28] + (v_[179] * v_[201] * v_[139] + v_[181] * v_[220] * v_[135] + v_[183] * v_[201]) * x_in[27] + x_in[18] * v_[189] - x_in[19] * v_[187];
+ v_[216] = v_[212] * v_[220] * v_[135] - v_[214] * v_[201] * v_[139] - v_[216] * v_[201];
+ v_[187] = (v_[197] * v_[201] * v_[135] - v_[199] * v_[220] * v_[139]) * x_in[29] + (v_[181] * v_[201] * v_[135] - v_[203] * v_[220] * v_[139] - v_[144] * v_[220]) * x_in[28] + (v_[206] * v_[201] * v_[139] + v_[208] * v_[220] * v_[135] + v_[210] * v_[201]) * x_in[27] + x_in[20] * v_[187] - x_in[18] * v_[216];
+ v_[216] = (0.33 * v_[220] * v_[135] - 0.33 * v_[201] * v_[139]) * x_in[29] + (0.33 * v_[220] * v_[135] - 0.33 * v_[201] * v_[139] - 0.35 * v_[201]) * x_in[28] + x_in[19] * v_[216] - x_in[20] * v_[189];
+ jac[249] = jac[561] * v_[183] + jac[537] * v_[187] + jac[513] * v_[216];
+ jac[250] = jac[562] * v_[183] + jac[538] * v_[187] + jac[514] * v_[216];
+ jac[251] = jac[563] * v_[183] + jac[539] * v_[187] + jac[515] * v_[216];
+ v_[216] = cos(x_in[11]);
+ v_[187] = -1 * sin(x_in[11]);
+ v_[138] = v_[134] * v_[216] - v_[138] * v_[187];
+ v_[148] = v_[146] * v_[187] + v_[148] * v_[216];
+ v_[152] = v_[151] * v_[216] - v_[152] * v_[187];
+ jac[270] = v_[75] * v_[138] + v_[112] * v_[148] + v_[129] * v_[152];
+ jac[271] = v_[100] * v_[138] + v_[126] * v_[148] + v_[113] * v_[152];
+ jac[272] = v_[125] * v_[138] + v_[116] * v_[148] + v_[85] * v_[152];
+ v_[188] = v_[186] * v_[187] + v_[188] * v_[216];
+ v_[192] = v_[191] * v_[216] - v_[192] * v_[187];
+ v_[182] = (v_[170] * v_[216] + v_[172] * v_[187]) * x_in[29] + (v_[174] * v_[187] + v_[176] * v_[216]) * x_in[28] + (v_[180] * v_[187] + v_[182] * v_[216]) * x_in[27] + x_in[18] * v_[188] - x_in[19] * v_[192];
+ v_[215] = v_[213] * v_[216] - v_[215] * v_[187];
+ v_[192] = (v_[198] * v_[216] - v_[200] * v_[187]) * x_in[29] + (v_[202] * v_[216] - v_[204] * v_[187]) * x_in[28] + (v_[207] * v_[187] + v_[209] * v_[216]) * x_in[27] + x_in[20] * v_[192] - x_in[18] * v_[215];
+ v_[215] = (v_[218] * v_[216] - v_[219] * v_[187]) * x_in[29] + (v_[221] * v_[216] - v_[222] * v_[187]) * x_in[28] + x_in[19] * v_[215] - x_in[20] * v_[188];
+ jac[273] = jac[561] * v_[182] + jac[537] * v_[192] + jac[513] * v_[215];
+ jac[274] = jac[562] * v_[182] + jac[538] * v_[192] + jac[514] * v_[215];
+ jac[275] = jac[563] * v_[182] + jac[539] * v_[192] + jac[515] * v_[215];
+ v_[215] = v_[228] * v_[235];
+ v_[192] = v_[238] * v_[225];
+ v_[182] = v_[215] + v_[192];
+ v_[188] = -1 * sin(x_in[12]);
+ v_[187] = 0.33 * v_[188] * v_[242] * v_[244] - 0.33 * v_[188] * v_[246] * v_[248] - 0.35 * v_[188] * v_[246] - 0.08 * v_[188];
+ v_[216] = v_[238] * v_[235];
+ v_[222] = v_[228] * v_[225];
+ v_[221] = v_[216] - v_[222];
+ v_[219] = cos(x_in[12]);
+ v_[218] = 0.33 * v_[219] * v_[242] * v_[244] - 0.33 * v_[219] * v_[246] * v_[248] - 0.35 * v_[219] * v_[246] - 0.08 * v_[219];
+ jac[300] = v_[182] * v_[187] + v_[221] * v_[218];
+ v_[209] = v_[228] * v_[237];
+ v_[225] = v_[234] * v_[225];
+ v_[207] = v_[209] - v_[225];
+ v_[228] = v_[228] * v_[227];
+ v_[234] = v_[234] * v_[235];
+ v_[235] = 1 - v_[228] - v_[234];
+ jac[301] = v_[207] * v_[187] + v_[235] * v_[218];
+ v_[238] = v_[238] * v_[237];
+ v_[234] = 1 - v_[238] - v_[234];
+ v_[225] = v_[209] + v_[225];
+ jac[302] = v_[234] * v_[187] + v_[225] * v_[218];
+ v_[218] = v_[266] * v_[273];
+ v_[187] = v_[276] * v_[263];
+ jac[567] = v_[218] + v_[187];
+ jac[521] = v_[218] - v_[187];
+ v_[187] = 0.33 * v_[188];
+ v_[218] = 0.33 * v_[219] * v_[242] * v_[296] - 0.33 * v_[219] * v_[246] * v_[248] - 0.35 * v_[219] * v_[246] - 0.08 * v_[219];
+ v_[187] = (v_[187] * v_[246] * v_[244] + 0.33 * v_[188] * v_[242] * v_[248]) * x_in[32] + (v_[187] * v_[242] * v_[248] + 0.33 * v_[188] * v_[246] * v_[244] + 0.35 * v_[188] * v_[242]) * x_in[31] + (0.33 * v_[219] * v_[246] * v_[248] + -0.33 * v_[219] * v_[242] * v_[244] + 0.35 * v_[219] * v_[246] + 0.08 * v_[219]) * x_in[30] + x_in[18] * v_[218];
+ v_[209] = v_[276] * v_[273];
+ v_[237] = v_[266] * v_[263];
+ jac[543] = v_[209] - v_[237];
+ jac[520] = v_[209] + v_[237];
+ jac[735] = jac[567] * v_[293] + jac[543] * v_[321];
+ v_[237] = 0.33 * v_[219];
+ v_[209] = 0.33 * v_[188] * v_[242] * v_[296] - 0.33 * v_[188] * v_[246] * v_[248] - 0.35 * v_[188] * v_[246] - 0.08 * v_[188];
+ v_[237] = (v_[237] * v_[246] * v_[244] + 0.33 * v_[219] * v_[242] * v_[248]) * x_in[32] + (v_[237] * v_[242] * v_[248] + 0.33 * v_[219] * v_[246] * v_[244] + 0.35 * v_[219] * v_[242]) * x_in[31] + (0.33 * v_[188] * v_[242] * v_[244] - 0.33 * v_[188] * v_[246] * v_[248] - 0.35 * v_[188] * v_[246] - 0.08 * v_[188]) * x_in[30] - x_in[18] * v_[209];
+ v_[265] = v_[266] * v_[265];
+ v_[276] = v_[276] * v_[275];
+ jac[519] = 1 - v_[265] - v_[276];
+ jac[759] = jac[567] * v_[287] + jac[543] * v_[315] + jac[519] * v_[333];
+ jac[783] = jac[567] * v_[282] + jac[543] * v_[311] + jac[519] * v_[330];
+ v_[209] = x_in[19] * v_[209] - x_in[20] * v_[218];
+ jac[303] = jac[567] * v_[187] + jac[543] * v_[237] + jac[519] * v_[209];
+ v_[275] = v_[266] * v_[275];
+ v_[263] = v_[272] * v_[263];
+ jac[568] = v_[275] - v_[263];
+ jac[545] = v_[275] + v_[263];
+ v_[272] = v_[272] * v_[273];
+ jac[544] = 1 - v_[265] - v_[272];
+ jac[304] = jac[568] * v_[187] + jac[544] * v_[237] + jac[520] * v_[209];
+ jac[569] = 1 - v_[276] - v_[272];
+ jac[305] = jac[569] * v_[187] + jac[545] * v_[237] + jac[521] * v_[209];
+ jac[736] = jac[568] * v_[293] + jac[544] * v_[321];
+ jac[737] = jac[569] * v_[293] + jac[545] * v_[321];
+ jac[760] = jac[568] * v_[287] + jac[544] * v_[315] + jac[520] * v_[333];
+ jac[761] = jac[569] * v_[287] + jac[545] * v_[315] + jac[521] * v_[333];
+ jac[784] = jac[568] * v_[282] + jac[544] * v_[311] + jac[520] * v_[330];
+ jac[785] = jac[569] * v_[282] + jac[545] * v_[311] + jac[521] * v_[330];
+ v_[330] = cos(x_in[13]);
+ v_[311] = -1 * sin(x_in[13]);
+ v_[249] = v_[241] * v_[330] * v_[244] - v_[245] * v_[311] * v_[248] - v_[249] * v_[311];
+ v_[258] = v_[254] * v_[330] * v_[244] - v_[256] * v_[311] * v_[248] - v_[258] * v_[311];
+ v_[238] = 1 - v_[228] - v_[238];
+ v_[228] = -0.33 * v_[311] * v_[244] - 0.33 * v_[330] * v_[248] - 0.35 * v_[330];
+ jac[324] = v_[182] * v_[249] + v_[221] * v_[258] + v_[238] * v_[228];
+ v_[222] = v_[216] + v_[222];
+ jac[325] = v_[207] * v_[249] + v_[235] * v_[258] + v_[222] * v_[228];
+ v_[192] = v_[215] - v_[192];
+ jac[326] = v_[234] * v_[249] + v_[225] * v_[258] + v_[192] * v_[228];
+ v_[299] = v_[294] * v_[330] * v_[296] - v_[297] * v_[311] * v_[248] - v_[299] * v_[311];
+ v_[297] = -0.33 * v_[311] * v_[296] - 0.33 * v_[330] * v_[248] - 0.35 * v_[330];
+ v_[292] = (v_[278] * v_[311] * v_[244] + v_[280] * v_[330] * v_[248]) * x_in[32] + (v_[278] * v_[330] * v_[248] + v_[284] * v_[311] * v_[244] + v_[286] * v_[330]) * x_in[31] + (v_[288] * v_[311] * v_[248] + v_[290] * v_[330] * v_[244] + v_[292] * v_[311]) * x_in[30] + x_in[18] * v_[299] - x_in[19] * v_[297];
+ v_[326] = v_[322] * v_[330] * v_[296] - v_[324] * v_[311] * v_[248] - v_[326] * v_[311];
+ v_[297] = (v_[307] * v_[311] * v_[244] + v_[309] * v_[330] * v_[248]) * x_in[32] + (v_[307] * v_[330] * v_[248] + v_[313] * v_[311] * v_[244] + v_[253] * v_[330]) * x_in[31] + (v_[316] * v_[330] * v_[244] - v_[318] * v_[311] * v_[248] - v_[320] * v_[311]) * x_in[30] + x_in[20] * v_[297] - x_in[18] * v_[326];
+ v_[326] = (0.33 * v_[330] * v_[244] - 0.33 * v_[311] * v_[248]) * x_in[32] + (0.33 * v_[330] * v_[244] - 0.33 * v_[311] * v_[248] - 0.35 * v_[311]) * x_in[31] + x_in[19] * v_[326] - x_in[20] * v_[299];
+ jac[327] = jac[567] * v_[292] + jac[543] * v_[297] + jac[519] * v_[326];
+ jac[328] = jac[568] * v_[292] + jac[544] * v_[297] + jac[520] * v_[326];
+ jac[329] = jac[569] * v_[292] + jac[545] * v_[297] + jac[521] * v_[326];
+ v_[326] = cos(x_in[14]);
+ v_[297] = -1 * sin(x_in[14]);
+ v_[247] = v_[243] * v_[326] - v_[247] * v_[297];
+ v_[257] = v_[255] * v_[326] - v_[257] * v_[297];
+ v_[261] = v_[260] * v_[326] - v_[261] * v_[297];
+ jac[348] = v_[182] * v_[247] + v_[221] * v_[257] + v_[238] * v_[261];
+ jac[349] = v_[207] * v_[247] + v_[235] * v_[257] + v_[222] * v_[261];
+ jac[350] = v_[234] * v_[247] + v_[225] * v_[257] + v_[192] * v_[261];
+ v_[261] = cos(x_in[14]);
+ v_[298] = v_[295] * v_[261] - v_[298] * v_[297];
+ v_[302] = v_[301] * v_[261] - v_[302] * v_[297];
+ v_[291] = (v_[279] * v_[326] + v_[281] * v_[297]) * x_in[32] + (v_[283] * v_[297] + v_[285] * v_[326]) * x_in[31] + (v_[289] * v_[297] + v_[291] * v_[326]) * x_in[30] + x_in[18] * v_[298] - x_in[19] * v_[302];
+ v_[261] = v_[323] * v_[261] - v_[325] * v_[297];
+ v_[302] = (v_[308] * v_[326] + v_[310] * v_[297]) * x_in[32] + (v_[312] * v_[297] + v_[314] * v_[326]) * x_in[31] + (v_[317] * v_[326] - v_[319] * v_[297]) * x_in[30] + x_in[20] * v_[302] - x_in[18] * v_[261];
+ v_[261] = (v_[328] * v_[326] - v_[329] * v_[297]) * x_in[32] + (v_[331] * v_[326] - v_[332] * v_[297]) * x_in[31] + x_in[19] * v_[261] - x_in[20] * v_[298];
+ jac[351] = jac[567] * v_[291] + jac[543] * v_[302] + jac[519] * v_[261];
+ jac[352] = jac[568] * v_[291] + jac[544] * v_[302] + jac[520] * v_[261];
+ jac[353] = jac[569] * v_[291] + jac[545] * v_[302] + jac[521] * v_[261];
+ v_[261] = v_[338] * v_[345];
+ v_[302] = v_[348] * v_[335];
+ v_[291] = v_[261] + v_[302];
+ v_[298] = -1 * sin(x_in[15]);
+ v_[297] = 0.33 * v_[298] * v_[352] * v_[354] - 0.33 * v_[298] * v_[356] * v_[358] - 0.35 * v_[298] * v_[356] - 0.08 * v_[298];
+ v_[326] = v_[348] * v_[345];
+ v_[332] = v_[338] * v_[335];
+ v_[331] = v_[326] - v_[332];
+ v_[329] = cos(x_in[15]);
+ v_[328] = 0.33 * v_[329] * v_[356] * v_[358] + -0.33 * v_[329] * v_[352] * v_[354] + 0.35 * v_[329] * v_[356] + 0.08 * v_[329];
+ jac[378] = v_[291] * v_[297] + v_[331] * v_[328];
+ v_[319] = v_[338] * v_[347];
+ v_[335] = v_[344] * v_[335];
+ v_[317] = v_[319] - v_[335];
+ v_[338] = v_[338] * v_[337];
+ v_[344] = v_[344] * v_[345];
+ v_[345] = 1 - v_[338] - v_[344];
+ jac[379] = v_[317] * v_[297] + v_[345] * v_[328];
+ v_[348] = v_[348] * v_[347];
+ v_[344] = 1 - v_[348] - v_[344];
+ v_[335] = v_[319] + v_[335];
+ jac[380] = v_[344] * v_[297] + v_[335] * v_[328];
+ v_[328] = v_[376] * v_[383];
+ v_[297] = v_[386] * v_[373];
+ jac[573] = v_[328] + v_[297];
+ jac[527] = v_[328] - v_[297];
+ v_[297] = 0.33 * v_[298];
+ v_[328] = -0.33 * v_[329];
+ v_[319] = 0.33 * v_[329] * v_[356] * v_[358] + -0.33 * v_[329] * v_[352] * v_[354] + 0.35 * v_[329] * v_[356] + 0.08 * v_[329];
+ v_[297] = (v_[297] * v_[356] * v_[354] + 0.33 * v_[298] * v_[352] * v_[358]) * x_in[35] + (v_[297] * v_[352] * v_[358] + 0.33 * v_[298] * v_[356] * v_[354] + 0.35 * v_[298] * v_[352]) * x_in[34] + (0.33 * v_[329] * v_[356] * v_[358] + v_[328] * v_[352] * v_[354] + 0.35 * v_[329] * v_[356] + 0.08 * v_[329]) * x_in[33] + x_in[18] * v_[319];
+ v_[347] = v_[386] * v_[383];
+ v_[337] = v_[376] * v_[373];
+ jac[549] = v_[347] - v_[337];
+ jac[526] = v_[347] + v_[337];
+ jac[813] = jac[573] * v_[403] + jac[549] * v_[430];
+ v_[337] = 0.33 * v_[298] * v_[352] * v_[354] - 0.33 * v_[298] * v_[356] * v_[358] - 0.35 * v_[298] * v_[356] - 0.08 * v_[298];
+ v_[328] = (-0.33 * v_[329] * v_[356] * v_[354] - 0.33 * v_[329] * v_[352] * v_[358]) * x_in[35] + (v_[328] * v_[356] * v_[354] - 0.33 * v_[329] * v_[352] * v_[358] - 0.35 * v_[329] * v_[352]) * x_in[34] + (0.33 * v_[298] * v_[356] * v_[358] + -0.33 * v_[298] * v_[352] * v_[354] + 0.35 * v_[298] * v_[356] + 0.08 * v_[298]) * x_in[33] - x_in[18] * v_[337];
+ v_[375] = v_[376] * v_[375];
+ v_[386] = v_[386] * v_[385];
+ jac[525] = 1 - v_[375] - v_[386];
+ jac[837] = jac[573] * v_[397] + jac[549] * v_[424] + jac[525] * v_[442];
+ jac[861] = jac[573] * v_[392] + jac[549] * v_[420] + jac[525] * v_[439];
+ v_[337] = x_in[19] * v_[337] - x_in[20] * v_[319];
+ jac[381] = jac[573] * v_[297] + jac[549] * v_[328] + jac[525] * v_[337];
+ v_[385] = v_[376] * v_[385];
+ v_[373] = v_[382] * v_[373];
+ jac[574] = v_[385] - v_[373];
+ jac[551] = v_[385] + v_[373];
+ v_[382] = v_[382] * v_[383];
+ jac[550] = 1 - v_[375] - v_[382];
+ jac[382] = jac[574] * v_[297] + jac[550] * v_[328] + jac[526] * v_[337];
+ jac[575] = 1 - v_[386] - v_[382];
+ jac[383] = jac[575] * v_[297] + jac[551] * v_[328] + jac[527] * v_[337];
+ jac[814] = jac[574] * v_[403] + jac[550] * v_[430];
+ jac[815] = jac[575] * v_[403] + jac[551] * v_[430];
+ jac[838] = jac[574] * v_[397] + jac[550] * v_[424] + jac[526] * v_[442];
+ jac[839] = jac[575] * v_[397] + jac[551] * v_[424] + jac[527] * v_[442];
+ jac[862] = jac[574] * v_[392] + jac[550] * v_[420] + jac[526] * v_[439];
+ jac[863] = jac[575] * v_[392] + jac[551] * v_[420] + jac[527] * v_[439];
+ v_[439] = cos(x_in[16]);
+ v_[420] = -1 * sin(x_in[16]);
+ v_[359] = v_[351] * v_[439] * v_[354] - v_[355] * v_[420] * v_[358] - v_[359] * v_[420];
+ v_[368] = v_[364] * v_[420] * v_[358] + v_[366] * v_[439] * v_[354] + v_[368] * v_[420];
+ v_[348] = 1 - v_[338] - v_[348];
+ v_[338] = -0.33 * v_[420] * v_[354] - 0.33 * v_[439] * v_[358] - 0.35 * v_[439];
+ jac[402] = v_[291] * v_[359] + v_[331] * v_[368] + v_[348] * v_[338];
+ v_[332] = v_[326] + v_[332];
+ jac[403] = v_[317] * v_[359] + v_[345] * v_[368] + v_[332] * v_[338];
+ v_[302] = v_[261] - v_[302];
+ jac[404] = v_[344] * v_[359] + v_[335] * v_[368] + v_[302] * v_[338];
+ v_[408] = v_[404] * v_[420] * v_[358] + v_[406] * v_[439] * v_[354] + v_[408] * v_[420];
+ v_[406] = -0.33 * v_[420] * v_[354] - 0.33 * v_[439] * v_[358] - 0.35 * v_[439];
+ v_[402] = (v_[388] * v_[420] * v_[354] + v_[390] * v_[439] * v_[358]) * x_in[35] + (v_[388] * v_[439] * v_[358] + v_[394] * v_[420] * v_[354] + v_[396] * v_[439]) * x_in[34] + (v_[398] * v_[420] * v_[358] + v_[400] * v_[439] * v_[354] + v_[402] * v_[420]) * x_in[33] + x_in[18] * v_[408] - x_in[19] * v_[406];
+ v_[435] = v_[431] * v_[439] * v_[354] - v_[433] * v_[420] * v_[358] - v_[435] * v_[420];
+ v_[406] = (v_[416] * v_[420] * v_[354] - v_[418] * v_[439] * v_[358]) * x_in[35] + (v_[400] * v_[420] * v_[354] - v_[422] * v_[439] * v_[358] - v_[363] * v_[439]) * x_in[34] + (v_[425] * v_[420] * v_[358] + v_[427] * v_[439] * v_[354] + v_[429] * v_[420]) * x_in[33] + x_in[20] * v_[406] - x_in[18] * v_[435];
+ v_[435] = (0.33 * v_[439] * v_[354] - 0.33 * v_[420] * v_[358]) * x_in[35] + (0.33 * v_[439] * v_[354] - 0.33 * v_[420] * v_[358] - 0.35 * v_[420]) * x_in[34] + x_in[19] * v_[435] - x_in[20] * v_[408];
+ jac[405] = jac[573] * v_[402] + jac[549] * v_[406] + jac[525] * v_[435];
+ jac[406] = jac[574] * v_[402] + jac[550] * v_[406] + jac[526] * v_[435];
+ jac[407] = jac[575] * v_[402] + jac[551] * v_[406] + jac[527] * v_[435];
+ v_[435] = cos(x_in[17]);
+ v_[406] = -1 * sin(x_in[17]);
+ v_[357] = v_[353] * v_[435] - v_[357] * v_[406];
+ v_[367] = v_[365] * v_[406] + v_[367] * v_[435];
+ v_[371] = v_[370] * v_[435] - v_[371] * v_[406];
+ jac[426] = v_[291] * v_[357] + v_[331] * v_[367] + v_[348] * v_[371];
+ jac[427] = v_[317] * v_[357] + v_[345] * v_[367] + v_[332] * v_[371];
+ jac[428] = v_[344] * v_[357] + v_[335] * v_[367] + v_[302] * v_[371];
+ v_[407] = v_[405] * v_[406] + v_[407] * v_[435];
+ v_[411] = v_[410] * v_[435] - v_[411] * v_[406];
+ v_[401] = (v_[389] * v_[435] + v_[391] * v_[406]) * x_in[35] + (v_[393] * v_[406] + v_[395] * v_[435]) * x_in[34] + (v_[399] * v_[406] + v_[401] * v_[435]) * x_in[33] + x_in[18] * v_[407] - x_in[19] * v_[411];
+ v_[434] = v_[432] * v_[435] - v_[434] * v_[406];
+ v_[411] = (v_[417] * v_[435] - v_[419] * v_[406]) * x_in[35] + (v_[421] * v_[435] - v_[423] * v_[406]) * x_in[34] + (v_[426] * v_[406] + v_[428] * v_[435]) * x_in[33] + x_in[20] * v_[411] - x_in[18] * v_[434];
+ v_[434] = (v_[437] * v_[435] - v_[438] * v_[406]) * x_in[35] + (v_[440] * v_[435] - v_[441] * v_[406]) * x_in[34] + x_in[19] * v_[434] - x_in[20] * v_[407];
+ jac[429] = jac[573] * v_[401] + jac[549] * v_[411] + jac[525] * v_[434];
+ jac[430] = jac[574] * v_[401] + jac[550] * v_[411] + jac[526] * v_[434];
+ jac[431] = jac[575] * v_[401] + jac[551] * v_[411] + jac[527] * v_[434];
+ v_[434] = 0 - v_[24];
+ jac[435] = jac[555] * v_[83] + jac[531] * v_[434];
+ jac[436] = jac[556] * v_[83] + jac[532] * v_[434];
+ jac[437] = jac[557] * v_[83] + jac[533] * v_[434];
+ v_[434] = 0 - v_[131];
+ jac[441] = jac[561] * v_[190] + jac[537] * v_[434];
+ jac[442] = jac[562] * v_[190] + jac[538] * v_[434];
+ jac[443] = jac[563] * v_[190] + jac[539] * v_[434];
+ v_[434] = 0 - v_[240];
+ jac[447] = jac[567] * v_[300] + jac[543] * v_[434];
+ jac[448] = jac[568] * v_[300] + jac[544] * v_[434];
+ jac[449] = jac[569] * v_[300] + jac[545] * v_[434];
+ v_[434] = 0 - v_[350];
+ jac[453] = jac[573] * v_[409] + jac[549] * v_[434];
+ jac[454] = jac[574] * v_[409] + jac[550] * v_[434];
+ jac[455] = jac[575] * v_[409] + jac[551] * v_[434];
+ v_[434] = 0 - v_[86];
+ jac[459] = jac[555] * v_[434] + jac[507] * v_[24];
+ jac[460] = jac[556] * v_[434] + jac[508] * v_[24];
+ jac[461] = jac[557] * v_[434] + jac[509] * v_[24];
+ v_[434] = 0 - v_[193];
+ jac[465] = jac[561] * v_[434] + jac[513] * v_[131];
+ jac[466] = jac[562] * v_[434] + jac[514] * v_[131];
+ jac[467] = jac[563] * v_[434] + jac[515] * v_[131];
+ v_[434] = 0 - v_[303];
+ jac[471] = jac[567] * v_[434] + jac[519] * v_[240];
+ jac[472] = jac[568] * v_[434] + jac[520] * v_[240];
+ jac[473] = jac[569] * v_[434] + jac[521] * v_[240];
+ v_[434] = 0 - v_[412];
+ jac[477] = jac[573] * v_[434] + jac[525] * v_[350];
+ jac[478] = jac[574] * v_[434] + jac[526] * v_[350];
+ jac[479] = jac[575] * v_[434] + jac[527] * v_[350];
+ v_[83] = 0 - v_[83];
+ jac[483] = jac[531] * v_[86] + jac[507] * v_[83];
+ jac[484] = jac[532] * v_[86] + jac[508] * v_[83];
+ jac[485] = jac[533] * v_[86] + jac[509] * v_[83];
+ v_[190] = 0 - v_[190];
+ jac[489] = jac[537] * v_[193] + jac[513] * v_[190];
+ jac[490] = jac[538] * v_[193] + jac[514] * v_[190];
+ jac[491] = jac[539] * v_[193] + jac[515] * v_[190];
+ v_[300] = 0 - v_[300];
+ jac[495] = jac[543] * v_[303] + jac[519] * v_[300];
+ jac[496] = jac[544] * v_[303] + jac[520] * v_[300];
+ jac[497] = jac[545] * v_[303] + jac[521] * v_[300];
+ v_[409] = 0 - v_[409];
+ jac[501] = jac[549] * v_[412] + jac[525] * v_[409];
+ jac[502] = jac[550] * v_[412] + jac[526] * v_[409];
+ jac[503] = jac[551] * v_[412] + jac[527] * v_[409];
+ // dependent variables without operations
+ jac[72] = 1;
+ jac[78] = 1;
+ jac[84] = 1;
+ jac[90] = 1;
+ jac[97] = 1;
+ jac[103] = 1;
+ jac[109] = 1;
+ jac[115] = 1;
+ jac[122] = 1;
+ jac[128] = 1;
+ jac[134] = 1;
+ jac[140] = 1;
+
+
+ return jac_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacForward.h b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacForward.h
new file mode 100644
index 0000000..d8dc083
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacForward.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQForwardKinJacForward : public core::Derivatives<36, 24, double>
+{
+public:
+ typedef Eigen::Matrix<double, 24, 36> JAC_TYPE;
+ typedef Eigen::Matrix<double, 36, 1> X_TYPE;
+
+ HyQForwardKinJacForward()
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyQForwardKinJacForward(const HyQForwardKinJacForward& other)
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyQForwardKinJacForward(){};
+
+ HyQForwardKinJacForward* clone() const override { return new HyQForwardKinJacForward(*this); }
+ JAC_TYPE jacobian(const Eigen::VectorXd& x_in) override;
+
+private:
+ JAC_TYPE jac_;
+ std::array<double, 445> v_;
+};
+
+} /* namespace HyQ */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.cpp
new file mode 100644
index 0000000..e6ed85c
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.cpp
@@ -0,0 +1,1803 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyQForwardKinJacReverse.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+HyQForwardKinJacReverse::JAC_TYPE HyQForwardKinJacReverse::jacobian(const Eigen::VectorXd& x_in)
+{
+ double* jac = jac_.data();
+
+ v_[0] = cos(x_in[6]);
+ v_[1] = 0.33 * v_[0];
+ v_[2] = sin(x_in[7]);
+ v_[3] = v_[1] * v_[2];
+ v_[4] = sin(x_in[8]);
+ v_[5] = 0.33 * v_[0];
+ v_[6] = cos(x_in[7]);
+ v_[7] = v_[5] * v_[6];
+ v_[8] = cos(x_in[8]);
+ v_[9] = 0.35 * v_[0];
+ v_[10] = v_[3] * v_[4] - v_[7] * v_[8] - v_[9] * v_[6] - 0.08 * v_[0];
+ v_[11] = 0.5 * x_in[0];
+ v_[12] = cos(v_[11]);
+ v_[13] = 0.5 * x_in[1];
+ v_[14] = cos(v_[13]);
+ v_[15] = v_[12] * v_[14];
+ v_[16] = 0.5 * x_in[2];
+ v_[17] = sin(v_[16]);
+ v_[18] = sin(v_[11]);
+ v_[19] = sin(v_[13]);
+ v_[20] = v_[18] * v_[19];
+ v_[21] = cos(v_[16]);
+ v_[22] = v_[15] * v_[17] + v_[20] * v_[21];
+ v_[23] = 2. * v_[22];
+ v_[24] = sin(x_in[6]);
+ v_[25] = 0.33 * v_[24];
+ v_[26] = v_[25] * v_[2];
+ v_[27] = 0.33 * v_[24];
+ v_[28] = v_[27] * v_[6];
+ v_[29] = 0.35 * v_[24];
+ v_[30] = 0.207 + v_[26] * v_[4] - v_[28] * v_[8] - v_[29] * v_[6] - 0.08 * v_[24];
+ v_[31] = v_[12] * v_[19];
+ v_[32] = v_[18] * v_[14];
+ v_[33] = v_[31] * v_[21] - v_[32] * v_[17];
+ v_[34] = 2. * v_[33];
+ v_[35] = v_[10] * v_[23] + v_[30] * v_[34];
+ v_[36] = -0.33 * v_[6];
+ v_[37] = 0.33 * v_[2];
+ v_[38] = 0.3735 + v_[36] * v_[4] - v_[37] * v_[8] - 0.35 * v_[2];
+ v_[39] = 0 - v_[38];
+ v_[40] = v_[32] * v_[21] + v_[31] * v_[17];
+ v_[41] = v_[15] * v_[21] - v_[20] * v_[17];
+ v_[39] = v_[39] * v_[34] + (v_[39] * v_[33] + v_[30] * v_[40] + v_[10] * v_[41]) * 2.;
+ v_[42] = 0 - v_[39];
+ v_[43] = v_[35] * v_[21] + v_[42] * v_[17];
+ v_[44] = 0 - v_[30];
+ v_[45] = v_[44] * v_[23] + v_[10] * v_[34];
+ v_[46] = 0 - v_[45];
+ v_[47] = 0 - v_[38];
+ v_[47] = v_[47] * v_[23] + (v_[47] * v_[22] + v_[10] * v_[40] + v_[44] * v_[41]) * 2.;
+ v_[44] = v_[46] * v_[17] + v_[47] * v_[21];
+ v_[48] = cos(v_[11]);
+ v_[49] = v_[45] * v_[21] + v_[47] * v_[17];
+ v_[50] = v_[35] * v_[17] + v_[39] * v_[21];
+ v_[11] = sin(v_[11]);
+ jac[0] = ((v_[43] * v_[14] + v_[44] * v_[19]) * v_[48] - (v_[49] * v_[14] + v_[50] * v_[19]) * v_[11]) * 0.5;
+ v_[51] = 0 - v_[30];
+ v_[52] = 2. * v_[40];
+ v_[53] = 0 - v_[10];
+ v_[51] = v_[38] * v_[34] + v_[51] * v_[52] + (v_[51] * v_[40] + v_[53] * v_[41]) * 2.;
+ v_[54] = v_[10] * v_[23] + v_[38] * v_[40] * 2.;
+ v_[55] = 0 - v_[54];
+ v_[56] = v_[51] * v_[21] + v_[55] * v_[17];
+ v_[53] = v_[38] * v_[23] + v_[53] * v_[52];
+ v_[57] = 0 - v_[53];
+ v_[58] = 0 - v_[30];
+ v_[58] = v_[58] * v_[23] + (v_[58] * v_[22] + v_[10] * v_[33] + v_[38] * v_[41]) * 2.;
+ v_[59] = v_[57] * v_[17] + v_[58] * v_[21];
+ v_[60] = v_[53] * v_[21] + v_[58] * v_[17];
+ v_[61] = v_[51] * v_[17] + v_[54] * v_[21];
+ jac[1] = ((v_[56] * v_[14] + v_[59] * v_[19]) * v_[48] - (v_[60] * v_[14] + v_[61] * v_[19]) * v_[11]) * 0.5;
+ v_[62] = 0 - v_[10];
+ v_[62] = v_[38] * v_[23] + v_[62] * v_[52] + (v_[62] * v_[40] + v_[30] * v_[41]) * 2.;
+ v_[10] = 0 - v_[10];
+ v_[63] = 0 - v_[38];
+ v_[10] = v_[30] * v_[23] + v_[10] * v_[34] + (v_[10] * v_[33] + v_[63] * v_[41]) * 2.;
+ v_[64] = 0 - v_[10];
+ v_[65] = v_[62] * v_[21] + v_[64] * v_[17];
+ v_[63] = v_[63] * v_[34] + v_[30] * v_[52];
+ v_[66] = 0 - v_[63];
+ v_[38] = (v_[30] * v_[33] + v_[38] * v_[40]) * 2.;
+ v_[30] = v_[66] * v_[17] + v_[38] * v_[21];
+ v_[67] = v_[63] * v_[21] + v_[38] * v_[17];
+ v_[21] = v_[62] * v_[17] + v_[10] * v_[21];
+ jac[2] = ((v_[65] * v_[14] + v_[30] * v_[19]) * v_[48] - (v_[67] * v_[14] + v_[21] * v_[19]) * v_[11]) * 0.5;
+ v_[11] = 0.33 * v_[0];
+ v_[48] = v_[11] * v_[6];
+ v_[19] = 0.33 * v_[0];
+ v_[14] = v_[19] * v_[2];
+ v_[17] = v_[48] * v_[4] + v_[14] * v_[8];
+ v_[68] = v_[11] * v_[2];
+ v_[69] = 0.33 * v_[0];
+ v_[70] = v_[69] * v_[6];
+ v_[71] = 0.35 * v_[0];
+ v_[72] = v_[68] * v_[8] + v_[70] * v_[4] + v_[71] * v_[2];
+ v_[73] = 0.33 * v_[24];
+ v_[74] = v_[73] * v_[6];
+ v_[75] = -0.33 * v_[24];
+ v_[76] = v_[75] * v_[2];
+ v_[77] = 0.35 * v_[24];
+ v_[78] = v_[74] * v_[8] + v_[76] * v_[4] + v_[77] * v_[6] + 0.08 * v_[24];
+ v_[79] = 0.33 * v_[24];
+ v_[80] = v_[79] * v_[2];
+ v_[81] = 0.33 * v_[24];
+ v_[82] = v_[81] * v_[6];
+ v_[83] = 0.35 * v_[24];
+ v_[84] = 0.207 + v_[80] * v_[4] - v_[82] * v_[8] - v_[83] * v_[6] - 0.08 * v_[24];
+ v_[85] = -0.33 * v_[6];
+ v_[86] = 0.33 * v_[2];
+ v_[87] = 0.3735 + v_[85] * v_[4] - v_[86] * v_[8] - 0.35 * v_[2];
+ v_[88] = v_[17] * x_in[26] + v_[72] * x_in[25] + v_[78] * x_in[24] + x_in[23] + x_in[18] * v_[84] - x_in[19] * v_[87];
+ v_[89] = 0.5 * x_in[0];
+ v_[90] = cos(v_[89]);
+ v_[91] = 0.5 * x_in[1];
+ v_[92] = cos(v_[91]);
+ v_[93] = v_[90] * v_[92];
+ v_[94] = 0.5 * x_in[2];
+ v_[95] = sin(v_[94]);
+ v_[96] = sin(v_[89]);
+ v_[97] = sin(v_[91]);
+ v_[98] = v_[96] * v_[97];
+ v_[99] = cos(v_[94]);
+ v_[100] = v_[93] * v_[95] + v_[98] * v_[99];
+ v_[101] = 2. * v_[100];
+ v_[102] = 0.33 * v_[24];
+ v_[103] = v_[102] * v_[6];
+ v_[104] = 0.33 * v_[24];
+ v_[105] = v_[104] * v_[2];
+ v_[106] = v_[103] * v_[4] + v_[105] * v_[8];
+ v_[107] = v_[102] * v_[2];
+ v_[108] = 0.33 * v_[24];
+ v_[109] = v_[108] * v_[6];
+ v_[24] = 0.35 * v_[24];
+ v_[110] = v_[107] * v_[8] + v_[109] * v_[4] + v_[24] * v_[2];
+ v_[111] = 0.33 * v_[0];
+ v_[112] = v_[111] * v_[2];
+ v_[113] = 0.33 * v_[0];
+ v_[114] = v_[113] * v_[6];
+ v_[115] = 0.35 * v_[0];
+ v_[116] = v_[112] * v_[4] - v_[114] * v_[8] - v_[115] * v_[6] - 0.08 * v_[0];
+ v_[117] = 0.33 * v_[0];
+ v_[118] = v_[117] * v_[2];
+ v_[119] = 0.35 * v_[0];
+ v_[0] = v_[118] * v_[4] - v_[114] * v_[8] - v_[119] * v_[6] - 0.08 * v_[0];
+ v_[120] = v_[106] * x_in[26] + v_[110] * x_in[25] + v_[116] * x_in[24] + x_in[22] + x_in[20] * v_[87] - x_in[18] * v_[0];
+ v_[121] = v_[90] * v_[97];
+ v_[122] = v_[96] * v_[92];
+ v_[123] = v_[121] * v_[99] - v_[122] * v_[95];
+ v_[124] = 2. * v_[123];
+ v_[125] = v_[88] * v_[101] + v_[120] * v_[124];
+ v_[126] = 0.33 * v_[2];
+ v_[127] = 0.33 * v_[6];
+ v_[128] = v_[126] * v_[4] - v_[127] * v_[8];
+ v_[129] = 0.33 * v_[2];
+ v_[130] = 0.33 * v_[6];
+ v_[131] = v_[129] * v_[4] - v_[130] * v_[8] - 0.35 * v_[6];
+ v_[132] = v_[128] * x_in[26] + v_[131] * x_in[25] + x_in[21] + x_in[19] * v_[0] - x_in[20] * v_[84];
+ v_[133] = 0 - v_[132];
+ v_[134] = v_[122] * v_[99] + v_[121] * v_[95];
+ v_[135] = v_[93] * v_[99] - v_[98] * v_[95];
+ v_[133] = v_[133] * v_[124] + (v_[133] * v_[123] + v_[120] * v_[134] + v_[88] * v_[135]) * 2.;
+ v_[136] = 0 - v_[133];
+ v_[137] = v_[125] * v_[99] + v_[136] * v_[95];
+ v_[138] = 0 - v_[120];
+ v_[139] = v_[138] * v_[101] + v_[88] * v_[124];
+ v_[140] = 0 - v_[139];
+ v_[141] = 0 - v_[132];
+ v_[141] = v_[141] * v_[101] + (v_[141] * v_[100] + v_[88] * v_[134] + v_[138] * v_[135]) * 2.;
+ v_[138] = v_[140] * v_[95] + v_[141] * v_[99];
+ v_[142] = cos(v_[89]);
+ v_[143] = v_[139] * v_[99] + v_[141] * v_[95];
+ v_[144] = v_[125] * v_[95] + v_[133] * v_[99];
+ v_[89] = sin(v_[89]);
+ jac[3] = ((v_[137] * v_[92] + v_[138] * v_[97]) * v_[142] - (v_[143] * v_[92] + v_[144] * v_[97]) * v_[89]) * 0.5;
+ v_[145] = 0 - v_[120];
+ v_[146] = 2. * v_[134];
+ v_[147] = 0 - v_[88];
+ v_[145] = v_[132] * v_[124] + v_[145] * v_[146] + (v_[145] * v_[134] + v_[147] * v_[135]) * 2.;
+ v_[148] = v_[88] * v_[101] + v_[132] * v_[134] * 2.;
+ v_[149] = 0 - v_[148];
+ v_[150] = v_[145] * v_[99] + v_[149] * v_[95];
+ v_[147] = v_[132] * v_[101] + v_[147] * v_[146];
+ v_[151] = 0 - v_[147];
+ v_[152] = 0 - v_[120];
+ v_[152] = v_[152] * v_[101] + (v_[152] * v_[100] + v_[88] * v_[123] + v_[132] * v_[135]) * 2.;
+ v_[153] = v_[151] * v_[95] + v_[152] * v_[99];
+ v_[154] = v_[147] * v_[99] + v_[152] * v_[95];
+ v_[155] = v_[145] * v_[95] + v_[148] * v_[99];
+ jac[4] = ((v_[150] * v_[92] + v_[153] * v_[97]) * v_[142] - (v_[154] * v_[92] + v_[155] * v_[97]) * v_[89]) * 0.5;
+ v_[156] = 0 - v_[88];
+ v_[156] = v_[132] * v_[101] + v_[156] * v_[146] + (v_[156] * v_[134] + v_[120] * v_[135]) * 2.;
+ v_[88] = 0 - v_[88];
+ v_[157] = 0 - v_[132];
+ v_[88] = v_[120] * v_[101] + v_[88] * v_[124] + (v_[88] * v_[123] + v_[157] * v_[135]) * 2.;
+ v_[158] = 0 - v_[88];
+ v_[159] = v_[156] * v_[99] + v_[158] * v_[95];
+ v_[157] = v_[157] * v_[124] + v_[120] * v_[146];
+ v_[160] = 0 - v_[157];
+ v_[132] = (v_[120] * v_[123] + v_[132] * v_[134]) * 2.;
+ v_[120] = v_[160] * v_[95] + v_[132] * v_[99];
+ v_[161] = v_[157] * v_[99] + v_[132] * v_[95];
+ v_[99] = v_[156] * v_[95] + v_[88] * v_[99];
+ jac[5] = ((v_[159] * v_[92] + v_[120] * v_[97]) * v_[142] - (v_[161] * v_[92] + v_[99] * v_[97]) * v_[89]) * 0.5;
+ v_[89] = cos(x_in[9]);
+ v_[142] = 0.33 * v_[89];
+ v_[97] = sin(x_in[10]);
+ v_[92] = v_[142] * v_[97];
+ v_[95] = sin(x_in[11]);
+ v_[162] = 0.33 * v_[89];
+ v_[163] = cos(x_in[10]);
+ v_[164] = v_[162] * v_[163];
+ v_[165] = cos(x_in[11]);
+ v_[166] = 0.35 * v_[89];
+ v_[167] = v_[92] * v_[95] - v_[164] * v_[165] - v_[166] * v_[163] - 0.08 * v_[89];
+ v_[168] = 0.5 * x_in[0];
+ v_[169] = cos(v_[168]);
+ v_[170] = 0.5 * x_in[1];
+ v_[171] = cos(v_[170]);
+ v_[172] = v_[169] * v_[171];
+ v_[173] = 0.5 * x_in[2];
+ v_[174] = sin(v_[173]);
+ v_[175] = sin(v_[168]);
+ v_[176] = sin(v_[170]);
+ v_[177] = v_[175] * v_[176];
+ v_[178] = cos(v_[173]);
+ v_[179] = v_[172] * v_[174] + v_[177] * v_[178];
+ v_[180] = 2. * v_[179];
+ v_[181] = sin(x_in[9]);
+ v_[182] = 0.33 * v_[181];
+ v_[183] = v_[182] * v_[163];
+ v_[184] = -0.33 * v_[181];
+ v_[185] = v_[184] * v_[97];
+ v_[186] = 0.35 * v_[181];
+ v_[187] = -0.207 + v_[183] * v_[165] + v_[185] * v_[95] + v_[186] * v_[163] + 0.08 * v_[181];
+ v_[188] = v_[169] * v_[176];
+ v_[189] = v_[175] * v_[171];
+ v_[190] = v_[188] * v_[178] - v_[189] * v_[174];
+ v_[191] = 2. * v_[190];
+ v_[192] = v_[167] * v_[180] + v_[187] * v_[191];
+ v_[193] = -0.33 * v_[163];
+ v_[194] = 0.33 * v_[97];
+ v_[195] = 0.3735 + v_[193] * v_[95] - v_[194] * v_[165] - 0.35 * v_[97];
+ v_[196] = 0 - v_[195];
+ v_[197] = v_[189] * v_[178] + v_[188] * v_[174];
+ v_[198] = v_[172] * v_[178] - v_[177] * v_[174];
+ v_[196] = v_[196] * v_[191] + (v_[196] * v_[190] + v_[187] * v_[197] + v_[167] * v_[198]) * 2.;
+ v_[199] = 0 - v_[196];
+ v_[200] = v_[192] * v_[178] + v_[199] * v_[174];
+ v_[201] = 0 - v_[187];
+ v_[202] = v_[201] * v_[180] + v_[167] * v_[191];
+ v_[203] = 0 - v_[202];
+ v_[204] = 0 - v_[195];
+ v_[204] = v_[204] * v_[180] + (v_[204] * v_[179] + v_[167] * v_[197] + v_[201] * v_[198]) * 2.;
+ v_[201] = v_[203] * v_[174] + v_[204] * v_[178];
+ v_[205] = cos(v_[168]);
+ v_[206] = v_[202] * v_[178] + v_[204] * v_[174];
+ v_[207] = v_[192] * v_[174] + v_[196] * v_[178];
+ v_[168] = sin(v_[168]);
+ jac[6] = ((v_[200] * v_[171] + v_[201] * v_[176]) * v_[205] - (v_[206] * v_[171] + v_[207] * v_[176]) * v_[168]) * 0.5;
+ v_[208] = 0 - v_[187];
+ v_[209] = 2. * v_[197];
+ v_[210] = 0 - v_[167];
+ v_[208] = v_[195] * v_[191] + v_[208] * v_[209] + (v_[208] * v_[197] + v_[210] * v_[198]) * 2.;
+ v_[211] = v_[167] * v_[180] + v_[195] * v_[197] * 2.;
+ v_[212] = 0 - v_[211];
+ v_[213] = v_[208] * v_[178] + v_[212] * v_[174];
+ v_[210] = v_[195] * v_[180] + v_[210] * v_[209];
+ v_[214] = 0 - v_[210];
+ v_[215] = 0 - v_[187];
+ v_[215] = v_[215] * v_[180] + (v_[215] * v_[179] + v_[167] * v_[190] + v_[195] * v_[198]) * 2.;
+ v_[216] = v_[214] * v_[174] + v_[215] * v_[178];
+ v_[217] = v_[210] * v_[178] + v_[215] * v_[174];
+ v_[218] = v_[208] * v_[174] + v_[211] * v_[178];
+ jac[7] = ((v_[213] * v_[171] + v_[216] * v_[176]) * v_[205] - (v_[217] * v_[171] + v_[218] * v_[176]) * v_[168]) * 0.5;
+ v_[219] = 0 - v_[167];
+ v_[219] = v_[195] * v_[180] + v_[219] * v_[209] + (v_[219] * v_[197] + v_[187] * v_[198]) * 2.;
+ v_[167] = 0 - v_[167];
+ v_[220] = 0 - v_[195];
+ v_[167] = v_[187] * v_[180] + v_[167] * v_[191] + (v_[167] * v_[190] + v_[220] * v_[198]) * 2.;
+ v_[221] = 0 - v_[167];
+ v_[222] = v_[219] * v_[178] + v_[221] * v_[174];
+ v_[220] = v_[220] * v_[191] + v_[187] * v_[209];
+ v_[223] = 0 - v_[220];
+ v_[195] = (v_[187] * v_[190] + v_[195] * v_[197]) * 2.;
+ v_[187] = v_[223] * v_[174] + v_[195] * v_[178];
+ v_[224] = v_[220] * v_[178] + v_[195] * v_[174];
+ v_[178] = v_[219] * v_[174] + v_[167] * v_[178];
+ jac[8] = ((v_[222] * v_[171] + v_[187] * v_[176]) * v_[205] - (v_[224] * v_[171] + v_[178] * v_[176]) * v_[168]) * 0.5;
+ v_[168] = 0.33 * v_[89];
+ v_[205] = v_[168] * v_[163];
+ v_[176] = 0.33 * v_[89];
+ v_[171] = v_[176] * v_[97];
+ v_[174] = v_[205] * v_[95] + v_[171] * v_[165];
+ v_[225] = v_[168] * v_[97];
+ v_[226] = 0.33 * v_[89];
+ v_[227] = v_[226] * v_[163];
+ v_[228] = 0.35 * v_[89];
+ v_[229] = v_[225] * v_[165] + v_[227] * v_[95] + v_[228] * v_[97];
+ v_[230] = 0.33 * v_[181];
+ v_[231] = v_[230] * v_[163];
+ v_[232] = -0.33 * v_[181];
+ v_[233] = v_[232] * v_[97];
+ v_[234] = 0.35 * v_[181];
+ v_[235] = v_[231] * v_[165] + v_[233] * v_[95] + v_[234] * v_[163] + 0.08 * v_[181];
+ v_[236] = 0.33 * v_[181];
+ v_[237] = v_[236] * v_[163];
+ v_[238] = -0.33 * v_[181];
+ v_[239] = v_[238] * v_[97];
+ v_[240] = 0.35 * v_[181];
+ v_[241] = -0.207 + v_[237] * v_[165] + v_[239] * v_[95] + v_[240] * v_[163] + 0.08 * v_[181];
+ v_[242] = -0.33 * v_[163];
+ v_[243] = 0.33 * v_[97];
+ v_[244] = 0.3735 + v_[242] * v_[95] - v_[243] * v_[165] - 0.35 * v_[97];
+ v_[245] = v_[174] * x_in[29] + v_[229] * x_in[28] + v_[235] * x_in[27] + x_in[23] + x_in[18] * v_[241] - x_in[19] * v_[244];
+ v_[246] = 0.5 * x_in[0];
+ v_[247] = cos(v_[246]);
+ v_[248] = 0.5 * x_in[1];
+ v_[249] = cos(v_[248]);
+ v_[250] = v_[247] * v_[249];
+ v_[251] = 0.5 * x_in[2];
+ v_[252] = sin(v_[251]);
+ v_[253] = sin(v_[246]);
+ v_[254] = sin(v_[248]);
+ v_[255] = v_[253] * v_[254];
+ v_[256] = cos(v_[251]);
+ v_[257] = v_[250] * v_[252] + v_[255] * v_[256];
+ v_[258] = 2. * v_[257];
+ v_[259] = -0.33 * v_[181];
+ v_[260] = v_[259] * v_[163];
+ v_[261] = 0.33 * v_[181];
+ v_[262] = v_[261] * v_[97];
+ v_[263] = v_[260] * v_[95] - v_[262] * v_[165];
+ v_[264] = v_[232] * v_[163];
+ v_[265] = 0.33 * v_[181];
+ v_[266] = v_[265] * v_[97];
+ v_[181] = 0.35 * v_[181];
+ v_[267] = v_[264] * v_[95] - v_[266] * v_[165] - v_[181] * v_[97];
+ v_[268] = 0.33 * v_[89];
+ v_[269] = v_[268] * v_[163];
+ v_[270] = -0.33 * v_[89];
+ v_[271] = v_[270] * v_[97];
+ v_[272] = 0.35 * v_[89];
+ v_[273] = v_[269] * v_[165] + v_[271] * v_[95] + v_[272] * v_[163] + 0.08 * v_[89];
+ v_[274] = 0.33 * v_[89];
+ v_[275] = v_[274] * v_[97];
+ v_[276] = 0.33 * v_[89];
+ v_[277] = v_[276] * v_[163];
+ v_[278] = 0.35 * v_[89];
+ v_[89] = v_[275] * v_[95] - v_[277] * v_[165] - v_[278] * v_[163] - 0.08 * v_[89];
+ v_[279] = v_[263] * x_in[29] + v_[267] * x_in[28] + v_[273] * x_in[27] + x_in[22] + x_in[20] * v_[244] - x_in[18] * v_[89];
+ v_[280] = v_[247] * v_[254];
+ v_[281] = v_[253] * v_[249];
+ v_[282] = v_[280] * v_[256] - v_[281] * v_[252];
+ v_[283] = 2. * v_[282];
+ v_[284] = v_[245] * v_[258] + v_[279] * v_[283];
+ v_[285] = 0.33 * v_[97];
+ v_[286] = 0.33 * v_[163];
+ v_[287] = v_[285] * v_[95] - v_[286] * v_[165];
+ v_[288] = 0.33 * v_[97];
+ v_[289] = 0.33 * v_[163];
+ v_[290] = v_[288] * v_[95] - v_[289] * v_[165] - 0.35 * v_[163];
+ v_[291] = v_[287] * x_in[29] + v_[290] * x_in[28] + x_in[21] + x_in[19] * v_[89] - x_in[20] * v_[241];
+ v_[292] = 0 - v_[291];
+ v_[293] = v_[281] * v_[256] + v_[280] * v_[252];
+ v_[294] = v_[250] * v_[256] - v_[255] * v_[252];
+ v_[292] = v_[292] * v_[283] + (v_[292] * v_[282] + v_[279] * v_[293] + v_[245] * v_[294]) * 2.;
+ v_[295] = 0 - v_[292];
+ v_[296] = v_[284] * v_[256] + v_[295] * v_[252];
+ v_[297] = 0 - v_[279];
+ v_[298] = v_[297] * v_[258] + v_[245] * v_[283];
+ v_[299] = 0 - v_[298];
+ v_[300] = 0 - v_[291];
+ v_[300] = v_[300] * v_[258] + (v_[300] * v_[257] + v_[245] * v_[293] + v_[297] * v_[294]) * 2.;
+ v_[297] = v_[299] * v_[252] + v_[300] * v_[256];
+ v_[301] = cos(v_[246]);
+ v_[302] = v_[298] * v_[256] + v_[300] * v_[252];
+ v_[303] = v_[284] * v_[252] + v_[292] * v_[256];
+ v_[246] = sin(v_[246]);
+ jac[9] = ((v_[296] * v_[249] + v_[297] * v_[254]) * v_[301] - (v_[302] * v_[249] + v_[303] * v_[254]) * v_[246]) * 0.5;
+ v_[304] = 0 - v_[279];
+ v_[305] = 2. * v_[293];
+ v_[306] = 0 - v_[245];
+ v_[304] = v_[291] * v_[283] + v_[304] * v_[305] + (v_[304] * v_[293] + v_[306] * v_[294]) * 2.;
+ v_[307] = v_[245] * v_[258] + v_[291] * v_[293] * 2.;
+ v_[308] = 0 - v_[307];
+ v_[309] = v_[304] * v_[256] + v_[308] * v_[252];
+ v_[306] = v_[291] * v_[258] + v_[306] * v_[305];
+ v_[310] = 0 - v_[306];
+ v_[311] = 0 - v_[279];
+ v_[311] = v_[311] * v_[258] + (v_[311] * v_[257] + v_[245] * v_[282] + v_[291] * v_[294]) * 2.;
+ v_[312] = v_[310] * v_[252] + v_[311] * v_[256];
+ v_[313] = v_[306] * v_[256] + v_[311] * v_[252];
+ v_[314] = v_[304] * v_[252] + v_[307] * v_[256];
+ jac[10] = ((v_[309] * v_[249] + v_[312] * v_[254]) * v_[301] - (v_[313] * v_[249] + v_[314] * v_[254]) * v_[246]) * 0.5;
+ v_[315] = 0 - v_[245];
+ v_[315] = v_[291] * v_[258] + v_[315] * v_[305] + (v_[315] * v_[293] + v_[279] * v_[294]) * 2.;
+ v_[245] = 0 - v_[245];
+ v_[316] = 0 - v_[291];
+ v_[245] = v_[279] * v_[258] + v_[245] * v_[283] + (v_[245] * v_[282] + v_[316] * v_[294]) * 2.;
+ v_[317] = 0 - v_[245];
+ v_[318] = v_[315] * v_[256] + v_[317] * v_[252];
+ v_[316] = v_[316] * v_[283] + v_[279] * v_[305];
+ v_[319] = 0 - v_[316];
+ v_[291] = (v_[279] * v_[282] + v_[291] * v_[293]) * 2.;
+ v_[279] = v_[319] * v_[252] + v_[291] * v_[256];
+ v_[320] = v_[316] * v_[256] + v_[291] * v_[252];
+ v_[256] = v_[315] * v_[252] + v_[245] * v_[256];
+ jac[11] = ((v_[318] * v_[249] + v_[279] * v_[254]) * v_[301] - (v_[320] * v_[249] + v_[256] * v_[254]) * v_[246]) * 0.5;
+ v_[246] = cos(x_in[12]);
+ v_[301] = 0.33 * v_[246];
+ v_[254] = sin(x_in[13]);
+ v_[249] = v_[301] * v_[254];
+ v_[252] = sin(x_in[14]);
+ v_[321] = 0.33 * v_[246];
+ v_[322] = cos(x_in[13]);
+ v_[323] = v_[321] * v_[322];
+ v_[324] = cos(x_in[14]);
+ v_[325] = 0.35 * v_[246];
+ v_[326] = v_[249] * v_[252] - v_[323] * v_[324] - v_[325] * v_[322] - 0.08 * v_[246];
+ v_[327] = 0.5 * x_in[0];
+ v_[328] = cos(v_[327]);
+ v_[329] = 0.5 * x_in[1];
+ v_[330] = cos(v_[329]);
+ v_[331] = v_[328] * v_[330];
+ v_[332] = 0.5 * x_in[2];
+ v_[333] = sin(v_[332]);
+ v_[334] = sin(v_[327]);
+ v_[335] = sin(v_[329]);
+ v_[336] = v_[334] * v_[335];
+ v_[337] = cos(v_[332]);
+ v_[338] = v_[331] * v_[333] + v_[336] * v_[337];
+ v_[339] = 2. * v_[338];
+ v_[340] = sin(x_in[12]);
+ v_[341] = 0.33 * v_[340];
+ v_[342] = v_[341] * v_[254];
+ v_[343] = 0.33 * v_[340];
+ v_[344] = v_[343] * v_[322];
+ v_[345] = 0.35 * v_[340];
+ v_[346] = 0.207 + v_[342] * v_[252] - v_[344] * v_[324] - v_[345] * v_[322] - 0.08 * v_[340];
+ v_[347] = v_[328] * v_[335];
+ v_[348] = v_[334] * v_[330];
+ v_[349] = v_[347] * v_[337] - v_[348] * v_[333];
+ v_[350] = 2. * v_[349];
+ v_[351] = v_[326] * v_[339] + v_[346] * v_[350];
+ v_[352] = -0.33 * v_[322];
+ v_[353] = 0.33 * v_[254];
+ v_[354] = -0.3735 + v_[352] * v_[252] - v_[353] * v_[324] - 0.35 * v_[254];
+ v_[355] = 0 - v_[354];
+ v_[356] = v_[348] * v_[337] + v_[347] * v_[333];
+ v_[357] = v_[331] * v_[337] - v_[336] * v_[333];
+ v_[355] = v_[355] * v_[350] + (v_[355] * v_[349] + v_[346] * v_[356] + v_[326] * v_[357]) * 2.;
+ v_[358] = 0 - v_[355];
+ v_[359] = v_[351] * v_[337] + v_[358] * v_[333];
+ v_[360] = 0 - v_[346];
+ v_[361] = v_[360] * v_[339] + v_[326] * v_[350];
+ v_[362] = 0 - v_[361];
+ v_[363] = 0 - v_[354];
+ v_[363] = v_[363] * v_[339] + (v_[363] * v_[338] + v_[326] * v_[356] + v_[360] * v_[357]) * 2.;
+ v_[360] = v_[362] * v_[333] + v_[363] * v_[337];
+ v_[364] = cos(v_[327]);
+ v_[365] = v_[361] * v_[337] + v_[363] * v_[333];
+ v_[366] = v_[351] * v_[333] + v_[355] * v_[337];
+ v_[327] = sin(v_[327]);
+ jac[12] = ((v_[359] * v_[330] + v_[360] * v_[335]) * v_[364] - (v_[365] * v_[330] + v_[366] * v_[335]) * v_[327]) * 0.5;
+ v_[367] = 0 - v_[346];
+ v_[368] = 2. * v_[356];
+ v_[369] = 0 - v_[326];
+ v_[367] = v_[354] * v_[350] + v_[367] * v_[368] + (v_[367] * v_[356] + v_[369] * v_[357]) * 2.;
+ v_[370] = v_[326] * v_[339] + v_[354] * v_[356] * 2.;
+ v_[371] = 0 - v_[370];
+ v_[372] = v_[367] * v_[337] + v_[371] * v_[333];
+ v_[369] = v_[354] * v_[339] + v_[369] * v_[368];
+ v_[373] = 0 - v_[369];
+ v_[374] = 0 - v_[346];
+ v_[374] = v_[374] * v_[339] + (v_[374] * v_[338] + v_[326] * v_[349] + v_[354] * v_[357]) * 2.;
+ v_[375] = v_[373] * v_[333] + v_[374] * v_[337];
+ v_[376] = v_[369] * v_[337] + v_[374] * v_[333];
+ v_[377] = v_[367] * v_[333] + v_[370] * v_[337];
+ jac[13] = ((v_[372] * v_[330] + v_[375] * v_[335]) * v_[364] - (v_[376] * v_[330] + v_[377] * v_[335]) * v_[327]) * 0.5;
+ v_[378] = 0 - v_[326];
+ v_[378] = v_[354] * v_[339] + v_[378] * v_[368] + (v_[378] * v_[356] + v_[346] * v_[357]) * 2.;
+ v_[326] = 0 - v_[326];
+ v_[379] = 0 - v_[354];
+ v_[326] = v_[346] * v_[339] + v_[326] * v_[350] + (v_[326] * v_[349] + v_[379] * v_[357]) * 2.;
+ v_[380] = 0 - v_[326];
+ v_[381] = v_[378] * v_[337] + v_[380] * v_[333];
+ v_[379] = v_[379] * v_[350] + v_[346] * v_[368];
+ v_[382] = 0 - v_[379];
+ v_[354] = (v_[346] * v_[349] + v_[354] * v_[356]) * 2.;
+ v_[346] = v_[382] * v_[333] + v_[354] * v_[337];
+ v_[383] = v_[379] * v_[337] + v_[354] * v_[333];
+ v_[337] = v_[378] * v_[333] + v_[326] * v_[337];
+ jac[14] = ((v_[381] * v_[330] + v_[346] * v_[335]) * v_[364] - (v_[383] * v_[330] + v_[337] * v_[335]) * v_[327]) * 0.5;
+ v_[327] = 0.33 * v_[246];
+ v_[364] = v_[327] * v_[322];
+ v_[335] = 0.33 * v_[246];
+ v_[330] = v_[335] * v_[254];
+ v_[333] = v_[364] * v_[252] + v_[330] * v_[324];
+ v_[384] = v_[327] * v_[254];
+ v_[385] = 0.33 * v_[246];
+ v_[386] = v_[385] * v_[322];
+ v_[387] = 0.35 * v_[246];
+ v_[388] = v_[384] * v_[324] + v_[386] * v_[252] + v_[387] * v_[254];
+ v_[389] = 0.33 * v_[340];
+ v_[390] = v_[389] * v_[322];
+ v_[391] = -0.33 * v_[340];
+ v_[392] = v_[391] * v_[254];
+ v_[393] = 0.35 * v_[340];
+ v_[394] = v_[390] * v_[324] + v_[392] * v_[252] + v_[393] * v_[322] + 0.08 * v_[340];
+ v_[395] = 0.33 * v_[340];
+ v_[396] = v_[395] * v_[254];
+ v_[397] = sin(x_in[14]);
+ v_[398] = 0.33 * v_[340];
+ v_[399] = v_[398] * v_[322];
+ v_[400] = 0.35 * v_[340];
+ v_[401] = 0.207 + v_[396] * v_[397] - v_[399] * v_[324] - v_[400] * v_[322] - 0.08 * v_[340];
+ v_[402] = -0.33 * v_[322];
+ v_[403] = 0.33 * v_[254];
+ v_[404] = -0.3735 + v_[402] * v_[397] - v_[403] * v_[324] - 0.35 * v_[254];
+ v_[405] = v_[333] * x_in[32] + v_[388] * x_in[31] + v_[394] * x_in[30] + x_in[23] + x_in[18] * v_[401] - x_in[19] * v_[404];
+ v_[406] = 0.5 * x_in[0];
+ v_[407] = cos(v_[406]);
+ v_[408] = 0.5 * x_in[1];
+ v_[409] = cos(v_[408]);
+ v_[410] = v_[407] * v_[409];
+ v_[411] = 0.5 * x_in[2];
+ v_[412] = sin(v_[411]);
+ v_[413] = sin(v_[406]);
+ v_[414] = sin(v_[408]);
+ v_[415] = v_[413] * v_[414];
+ v_[416] = cos(v_[411]);
+ v_[417] = v_[410] * v_[412] + v_[415] * v_[416];
+ v_[418] = 2. * v_[417];
+ v_[419] = 0.33 * v_[340];
+ v_[420] = v_[419] * v_[322];
+ v_[421] = 0.33 * v_[340];
+ v_[422] = v_[421] * v_[254];
+ v_[423] = v_[420] * v_[252] + v_[422] * v_[324];
+ v_[424] = v_[419] * v_[254];
+ v_[425] = 0.33 * v_[340];
+ v_[426] = v_[425] * v_[322];
+ v_[340] = 0.35 * v_[340];
+ v_[427] = v_[424] * v_[324] + v_[426] * v_[252] + v_[340] * v_[254];
+ v_[428] = 0.33 * v_[246];
+ v_[429] = v_[428] * v_[254];
+ v_[430] = 0.33 * v_[246];
+ v_[431] = v_[430] * v_[322];
+ v_[432] = 0.35 * v_[246];
+ v_[433] = v_[429] * v_[252] - v_[431] * v_[324] - v_[432] * v_[322] - 0.08 * v_[246];
+ v_[434] = 0.33 * v_[246];
+ v_[435] = v_[434] * v_[254];
+ v_[436] = 0.33 * v_[246];
+ v_[437] = v_[436] * v_[322];
+ v_[438] = 0.35 * v_[246];
+ v_[246] = v_[435] * v_[397] - v_[437] * v_[324] - v_[438] * v_[322] - 0.08 * v_[246];
+ v_[439] = v_[423] * x_in[32] + v_[427] * x_in[31] + v_[433] * x_in[30] + x_in[22] + x_in[20] * v_[404] - x_in[18] * v_[246];
+ v_[440] = v_[407] * v_[414];
+ v_[441] = v_[413] * v_[409];
+ v_[442] = v_[440] * v_[416] - v_[441] * v_[412];
+ v_[443] = 2. * v_[442];
+ v_[444] = v_[405] * v_[418] + v_[439] * v_[443];
+ v_[445] = 0.33 * v_[254];
+ v_[446] = 0.33 * v_[322];
+ v_[447] = v_[445] * v_[252] - v_[446] * v_[324];
+ v_[448] = 0.33 * v_[254];
+ v_[449] = 0.33 * v_[322];
+ v_[450] = v_[448] * v_[252] - v_[449] * v_[324] - 0.35 * v_[322];
+ v_[451] = v_[447] * x_in[32] + v_[450] * x_in[31] + x_in[21] + x_in[19] * v_[246] - x_in[20] * v_[401];
+ v_[452] = 0 - v_[451];
+ v_[453] = v_[441] * v_[416] + v_[440] * v_[412];
+ v_[454] = v_[410] * v_[416] - v_[415] * v_[412];
+ v_[452] = v_[452] * v_[443] + (v_[452] * v_[442] + v_[439] * v_[453] + v_[405] * v_[454]) * 2.;
+ v_[455] = 0 - v_[452];
+ v_[456] = v_[444] * v_[416] + v_[455] * v_[412];
+ v_[457] = 0 - v_[439];
+ v_[458] = v_[457] * v_[418] + v_[405] * v_[443];
+ v_[459] = 0 - v_[458];
+ v_[460] = 0 - v_[451];
+ v_[460] = v_[460] * v_[418] + (v_[460] * v_[417] + v_[405] * v_[453] + v_[457] * v_[454]) * 2.;
+ v_[457] = v_[459] * v_[412] + v_[460] * v_[416];
+ v_[461] = cos(v_[406]);
+ v_[462] = v_[458] * v_[416] + v_[460] * v_[412];
+ v_[463] = v_[444] * v_[412] + v_[452] * v_[416];
+ v_[406] = sin(v_[406]);
+ jac[15] = ((v_[456] * v_[409] + v_[457] * v_[414]) * v_[461] - (v_[462] * v_[409] + v_[463] * v_[414]) * v_[406]) * 0.5;
+ v_[464] = 0 - v_[439];
+ v_[465] = 2. * v_[453];
+ v_[466] = 0 - v_[405];
+ v_[464] = v_[451] * v_[443] + v_[464] * v_[465] + (v_[464] * v_[453] + v_[466] * v_[454]) * 2.;
+ v_[467] = v_[405] * v_[418] + v_[451] * v_[453] * 2.;
+ v_[468] = 0 - v_[467];
+ v_[469] = v_[464] * v_[416] + v_[468] * v_[412];
+ v_[466] = v_[451] * v_[418] + v_[466] * v_[465];
+ v_[470] = 0 - v_[466];
+ v_[471] = 0 - v_[439];
+ v_[471] = v_[471] * v_[418] + (v_[471] * v_[417] + v_[405] * v_[442] + v_[451] * v_[454]) * 2.;
+ v_[472] = v_[470] * v_[412] + v_[471] * v_[416];
+ v_[473] = v_[466] * v_[416] + v_[471] * v_[412];
+ v_[474] = v_[464] * v_[412] + v_[467] * v_[416];
+ jac[16] = ((v_[469] * v_[409] + v_[472] * v_[414]) * v_[461] - (v_[473] * v_[409] + v_[474] * v_[414]) * v_[406]) * 0.5;
+ v_[475] = 0 - v_[405];
+ v_[475] = v_[451] * v_[418] + v_[475] * v_[465] + (v_[475] * v_[453] + v_[439] * v_[454]) * 2.;
+ v_[405] = 0 - v_[405];
+ v_[476] = 0 - v_[451];
+ v_[405] = v_[439] * v_[418] + v_[405] * v_[443] + (v_[405] * v_[442] + v_[476] * v_[454]) * 2.;
+ v_[477] = 0 - v_[405];
+ v_[478] = v_[475] * v_[416] + v_[477] * v_[412];
+ v_[476] = v_[476] * v_[443] + v_[439] * v_[465];
+ v_[479] = 0 - v_[476];
+ v_[451] = (v_[439] * v_[442] + v_[451] * v_[453]) * 2.;
+ v_[439] = v_[479] * v_[412] + v_[451] * v_[416];
+ v_[480] = v_[476] * v_[416] + v_[451] * v_[412];
+ v_[416] = v_[475] * v_[412] + v_[405] * v_[416];
+ jac[17] = ((v_[478] * v_[409] + v_[439] * v_[414]) * v_[461] - (v_[480] * v_[409] + v_[416] * v_[414]) * v_[406]) * 0.5;
+ v_[406] = cos(x_in[15]);
+ v_[461] = 0.33 * v_[406];
+ v_[414] = sin(x_in[16]);
+ v_[409] = v_[461] * v_[414];
+ v_[412] = sin(x_in[17]);
+ v_[481] = 0.33 * v_[406];
+ v_[482] = cos(x_in[16]);
+ v_[483] = v_[481] * v_[482];
+ v_[484] = cos(x_in[17]);
+ v_[485] = 0.35 * v_[406];
+ v_[486] = v_[409] * v_[412] - v_[483] * v_[484] - v_[485] * v_[482] - 0.08 * v_[406];
+ v_[487] = 0.5 * x_in[0];
+ v_[488] = cos(v_[487]);
+ v_[489] = 0.5 * x_in[1];
+ v_[490] = cos(v_[489]);
+ v_[491] = v_[488] * v_[490];
+ v_[492] = 0.5 * x_in[2];
+ v_[493] = sin(v_[492]);
+ v_[494] = sin(v_[487]);
+ v_[495] = sin(v_[489]);
+ v_[496] = v_[494] * v_[495];
+ v_[497] = cos(v_[492]);
+ v_[498] = v_[491] * v_[493] + v_[496] * v_[497];
+ v_[499] = 2. * v_[498];
+ v_[500] = sin(x_in[15]);
+ v_[501] = 0.33 * v_[500];
+ v_[502] = v_[501] * v_[482];
+ v_[503] = -0.33 * v_[500];
+ v_[504] = v_[503] * v_[414];
+ v_[505] = 0.35 * v_[500];
+ v_[506] = -0.207 + v_[502] * v_[484] + v_[504] * v_[412] + v_[505] * v_[482] + 0.08 * v_[500];
+ v_[507] = v_[488] * v_[495];
+ v_[508] = v_[494] * v_[490];
+ v_[509] = v_[507] * v_[497] - v_[508] * v_[493];
+ v_[510] = 2. * v_[509];
+ v_[511] = v_[486] * v_[499] + v_[506] * v_[510];
+ v_[512] = -0.33 * v_[482];
+ v_[513] = 0.33 * v_[414];
+ v_[514] = -0.3735 + v_[512] * v_[412] - v_[513] * v_[484] - 0.35 * v_[414];
+ v_[515] = 0 - v_[514];
+ v_[516] = v_[508] * v_[497] + v_[507] * v_[493];
+ v_[517] = v_[491] * v_[497] - v_[496] * v_[493];
+ v_[515] = v_[515] * v_[510] + (v_[515] * v_[509] + v_[506] * v_[516] + v_[486] * v_[517]) * 2.;
+ v_[518] = 0 - v_[515];
+ v_[519] = v_[511] * v_[497] + v_[518] * v_[493];
+ v_[520] = 0 - v_[506];
+ v_[521] = v_[520] * v_[499] + v_[486] * v_[510];
+ v_[522] = 0 - v_[521];
+ v_[523] = 0 - v_[514];
+ v_[523] = v_[523] * v_[499] + (v_[523] * v_[498] + v_[486] * v_[516] + v_[520] * v_[517]) * 2.;
+ v_[520] = v_[522] * v_[493] + v_[523] * v_[497];
+ v_[524] = cos(v_[487]);
+ v_[525] = v_[521] * v_[497] + v_[523] * v_[493];
+ v_[526] = v_[511] * v_[493] + v_[515] * v_[497];
+ v_[487] = sin(v_[487]);
+ jac[18] = ((v_[519] * v_[490] + v_[520] * v_[495]) * v_[524] - (v_[525] * v_[490] + v_[526] * v_[495]) * v_[487]) * 0.5;
+ v_[527] = 0 - v_[506];
+ v_[528] = 2. * v_[516];
+ v_[529] = 0 - v_[486];
+ v_[527] = v_[514] * v_[510] + v_[527] * v_[528] + (v_[527] * v_[516] + v_[529] * v_[517]) * 2.;
+ v_[530] = v_[486] * v_[499] + v_[514] * v_[516] * 2.;
+ v_[531] = 0 - v_[530];
+ v_[532] = v_[527] * v_[497] + v_[531] * v_[493];
+ v_[529] = v_[514] * v_[499] + v_[529] * v_[528];
+ v_[533] = 0 - v_[529];
+ v_[534] = 0 - v_[506];
+ v_[534] = v_[534] * v_[499] + (v_[534] * v_[498] + v_[486] * v_[509] + v_[514] * v_[517]) * 2.;
+ v_[535] = v_[533] * v_[493] + v_[534] * v_[497];
+ v_[536] = v_[529] * v_[497] + v_[534] * v_[493];
+ v_[537] = v_[527] * v_[493] + v_[530] * v_[497];
+ jac[19] = ((v_[532] * v_[490] + v_[535] * v_[495]) * v_[524] - (v_[536] * v_[490] + v_[537] * v_[495]) * v_[487]) * 0.5;
+ v_[538] = 0 - v_[486];
+ v_[538] = v_[514] * v_[499] + v_[538] * v_[528] + (v_[538] * v_[516] + v_[506] * v_[517]) * 2.;
+ v_[486] = 0 - v_[486];
+ v_[539] = 0 - v_[514];
+ v_[486] = v_[506] * v_[499] + v_[486] * v_[510] + (v_[486] * v_[509] + v_[539] * v_[517]) * 2.;
+ v_[540] = 0 - v_[486];
+ v_[541] = v_[538] * v_[497] + v_[540] * v_[493];
+ v_[539] = v_[539] * v_[510] + v_[506] * v_[528];
+ v_[542] = 0 - v_[539];
+ v_[514] = (v_[506] * v_[509] + v_[514] * v_[516]) * 2.;
+ v_[506] = v_[542] * v_[493] + v_[514] * v_[497];
+ v_[543] = v_[539] * v_[497] + v_[514] * v_[493];
+ v_[497] = v_[538] * v_[493] + v_[486] * v_[497];
+ jac[20] = ((v_[541] * v_[490] + v_[506] * v_[495]) * v_[524] - (v_[543] * v_[490] + v_[497] * v_[495]) * v_[487]) * 0.5;
+ v_[487] = 0.33 * v_[406];
+ v_[524] = v_[487] * v_[482];
+ v_[495] = 0.33 * v_[406];
+ v_[490] = v_[495] * v_[414];
+ v_[493] = v_[524] * v_[412] + v_[490] * v_[484];
+ v_[544] = v_[487] * v_[414];
+ v_[545] = 0.33 * v_[406];
+ v_[546] = v_[545] * v_[482];
+ v_[547] = 0.35 * v_[406];
+ v_[548] = v_[544] * v_[484] + v_[546] * v_[412] + v_[547] * v_[414];
+ v_[549] = 0.33 * v_[500];
+ v_[550] = v_[549] * v_[482];
+ v_[551] = -0.33 * v_[500];
+ v_[552] = v_[551] * v_[414];
+ v_[553] = 0.35 * v_[500];
+ v_[554] = v_[550] * v_[484] + v_[552] * v_[412] + v_[553] * v_[482] + 0.08 * v_[500];
+ v_[555] = 0.33 * v_[500];
+ v_[556] = v_[555] * v_[482];
+ v_[557] = -0.33 * v_[500];
+ v_[558] = v_[557] * v_[414];
+ v_[559] = 0.35 * v_[500];
+ v_[560] = -0.207 + v_[556] * v_[484] + v_[558] * v_[412] + v_[559] * v_[482] + 0.08 * v_[500];
+ v_[561] = -0.33 * v_[482];
+ v_[562] = 0.33 * v_[414];
+ v_[563] = -0.3735 + v_[561] * v_[412] - v_[562] * v_[484] - 0.35 * v_[414];
+ v_[564] = v_[493] * x_in[35] + v_[548] * x_in[34] + v_[554] * x_in[33] + x_in[23] + x_in[18] * v_[560] - x_in[19] * v_[563];
+ v_[565] = 0.5 * x_in[0];
+ v_[566] = cos(v_[565]);
+ v_[567] = 0.5 * x_in[1];
+ v_[568] = cos(v_[567]);
+ v_[569] = v_[566] * v_[568];
+ v_[570] = 0.5 * x_in[2];
+ v_[571] = sin(v_[570]);
+ v_[572] = sin(v_[565]);
+ v_[573] = sin(v_[567]);
+ v_[574] = v_[572] * v_[573];
+ v_[575] = cos(v_[570]);
+ v_[576] = v_[569] * v_[571] + v_[574] * v_[575];
+ v_[577] = 2. * v_[576];
+ v_[578] = -0.33 * v_[500];
+ v_[579] = v_[578] * v_[482];
+ v_[580] = 0.33 * v_[500];
+ v_[581] = v_[580] * v_[414];
+ v_[582] = v_[579] * v_[412] - v_[581] * v_[484];
+ v_[583] = v_[551] * v_[482];
+ v_[584] = 0.33 * v_[500];
+ v_[585] = v_[584] * v_[414];
+ v_[500] = 0.35 * v_[500];
+ v_[586] = v_[583] * v_[412] - v_[585] * v_[484] - v_[500] * v_[414];
+ v_[587] = 0.33 * v_[406];
+ v_[588] = v_[587] * v_[482];
+ v_[589] = -0.33 * v_[406];
+ v_[590] = v_[589] * v_[414];
+ v_[591] = 0.35 * v_[406];
+ v_[592] = v_[588] * v_[484] + v_[590] * v_[412] + v_[591] * v_[482] + 0.08 * v_[406];
+ v_[593] = 0.33 * v_[406];
+ v_[594] = v_[593] * v_[414];
+ v_[595] = 0.33 * v_[406];
+ v_[596] = v_[595] * v_[482];
+ v_[597] = 0.35 * v_[406];
+ v_[406] = v_[594] * v_[412] - v_[596] * v_[484] - v_[597] * v_[482] - 0.08 * v_[406];
+ v_[598] = v_[582] * x_in[35] + v_[586] * x_in[34] + v_[592] * x_in[33] + x_in[22] + x_in[20] * v_[563] - x_in[18] * v_[406];
+ v_[599] = v_[566] * v_[573];
+ v_[600] = v_[572] * v_[568];
+ v_[601] = v_[599] * v_[575] - v_[600] * v_[571];
+ v_[602] = 2. * v_[601];
+ v_[603] = v_[564] * v_[577] + v_[598] * v_[602];
+ v_[604] = 0.33 * v_[414];
+ v_[605] = 0.33 * v_[482];
+ v_[606] = v_[604] * v_[412] - v_[605] * v_[484];
+ v_[607] = 0.33 * v_[414];
+ v_[608] = 0.33 * v_[482];
+ v_[609] = v_[607] * v_[412] - v_[608] * v_[484] - 0.35 * v_[482];
+ v_[610] = v_[606] * x_in[35] + v_[609] * x_in[34] + x_in[21] + x_in[19] * v_[406] - x_in[20] * v_[560];
+ v_[611] = 0 - v_[610];
+ v_[612] = v_[600] * v_[575] + v_[599] * v_[571];
+ v_[613] = v_[569] * v_[575] - v_[574] * v_[571];
+ v_[611] = v_[611] * v_[602] + (v_[611] * v_[601] + v_[598] * v_[612] + v_[564] * v_[613]) * 2.;
+ v_[614] = 0 - v_[611];
+ v_[615] = v_[603] * v_[575] + v_[614] * v_[571];
+ v_[616] = 0 - v_[598];
+ v_[617] = v_[616] * v_[577] + v_[564] * v_[602];
+ v_[618] = 0 - v_[617];
+ v_[619] = 0 - v_[610];
+ v_[619] = v_[619] * v_[577] + (v_[619] * v_[576] + v_[564] * v_[612] + v_[616] * v_[613]) * 2.;
+ v_[616] = v_[618] * v_[571] + v_[619] * v_[575];
+ v_[620] = cos(v_[565]);
+ v_[621] = v_[617] * v_[575] + v_[619] * v_[571];
+ v_[622] = v_[603] * v_[571] + v_[611] * v_[575];
+ v_[565] = sin(v_[565]);
+ jac[21] = ((v_[615] * v_[568] + v_[616] * v_[573]) * v_[620] - (v_[621] * v_[568] + v_[622] * v_[573]) * v_[565]) * 0.5;
+ v_[623] = 0 - v_[598];
+ v_[624] = 2. * v_[612];
+ v_[625] = 0 - v_[564];
+ v_[623] = v_[610] * v_[602] + v_[623] * v_[624] + (v_[623] * v_[612] + v_[625] * v_[613]) * 2.;
+ v_[626] = v_[564] * v_[577] + v_[610] * v_[612] * 2.;
+ v_[627] = 0 - v_[626];
+ v_[628] = v_[623] * v_[575] + v_[627] * v_[571];
+ v_[625] = v_[610] * v_[577] + v_[625] * v_[624];
+ v_[629] = 0 - v_[625];
+ v_[630] = 0 - v_[598];
+ v_[630] = v_[630] * v_[577] + (v_[630] * v_[576] + v_[564] * v_[601] + v_[610] * v_[613]) * 2.;
+ v_[631] = v_[629] * v_[571] + v_[630] * v_[575];
+ v_[632] = v_[625] * v_[575] + v_[630] * v_[571];
+ v_[633] = v_[623] * v_[571] + v_[626] * v_[575];
+ jac[22] = ((v_[628] * v_[568] + v_[631] * v_[573]) * v_[620] - (v_[632] * v_[568] + v_[633] * v_[573]) * v_[565]) * 0.5;
+ v_[634] = 0 - v_[564];
+ v_[634] = v_[610] * v_[577] + v_[634] * v_[624] + (v_[634] * v_[612] + v_[598] * v_[613]) * 2.;
+ v_[564] = 0 - v_[564];
+ v_[635] = 0 - v_[610];
+ v_[564] = v_[598] * v_[577] + v_[564] * v_[602] + (v_[564] * v_[601] + v_[635] * v_[613]) * 2.;
+ v_[636] = 0 - v_[564];
+ v_[637] = v_[634] * v_[575] + v_[636] * v_[571];
+ v_[635] = v_[635] * v_[602] + v_[598] * v_[624];
+ v_[638] = 0 - v_[635];
+ v_[610] = (v_[598] * v_[601] + v_[610] * v_[612]) * 2.;
+ v_[598] = v_[638] * v_[571] + v_[610] * v_[575];
+ v_[639] = v_[635] * v_[575] + v_[610] * v_[571];
+ v_[575] = v_[634] * v_[571] + v_[564] * v_[575];
+ jac[23] = ((v_[637] * v_[568] + v_[598] * v_[573]) * v_[620] - (v_[639] * v_[568] + v_[575] * v_[573]) * v_[565]) * 0.5;
+ v_[565] = cos(v_[13]);
+ v_[13] = sin(v_[13]);
+ jac[24] = ((v_[50] * v_[12] + v_[44] * v_[18]) * v_[565] - (v_[49] * v_[12] + v_[43] * v_[18]) * v_[13]) * 0.5;
+ jac[25] = ((v_[61] * v_[12] + v_[59] * v_[18]) * v_[565] - (v_[60] * v_[12] + v_[56] * v_[18]) * v_[13]) * 0.5;
+ jac[26] = ((v_[21] * v_[12] + v_[30] * v_[18]) * v_[565] - (v_[67] * v_[12] + v_[65] * v_[18]) * v_[13]) * 0.5;
+ v_[13] = cos(v_[91]);
+ v_[91] = sin(v_[91]);
+ jac[27] = ((v_[144] * v_[90] + v_[138] * v_[96]) * v_[13] - (v_[143] * v_[90] + v_[137] * v_[96]) * v_[91]) * 0.5;
+ jac[28] = ((v_[155] * v_[90] + v_[153] * v_[96]) * v_[13] - (v_[154] * v_[90] + v_[150] * v_[96]) * v_[91]) * 0.5;
+ jac[29] = ((v_[99] * v_[90] + v_[120] * v_[96]) * v_[13] - (v_[161] * v_[90] + v_[159] * v_[96]) * v_[91]) * 0.5;
+ v_[91] = cos(v_[170]);
+ v_[170] = sin(v_[170]);
+ jac[30] = ((v_[207] * v_[169] + v_[201] * v_[175]) * v_[91] - (v_[206] * v_[169] + v_[200] * v_[175]) * v_[170]) * 0.5;
+ jac[31] = ((v_[218] * v_[169] + v_[216] * v_[175]) * v_[91] - (v_[217] * v_[169] + v_[213] * v_[175]) * v_[170]) * 0.5;
+ jac[32] = ((v_[178] * v_[169] + v_[187] * v_[175]) * v_[91] - (v_[224] * v_[169] + v_[222] * v_[175]) * v_[170]) * 0.5;
+ v_[170] = cos(v_[248]);
+ v_[248] = sin(v_[248]);
+ jac[33] = ((v_[303] * v_[247] + v_[297] * v_[253]) * v_[170] - (v_[302] * v_[247] + v_[296] * v_[253]) * v_[248]) * 0.5;
+ jac[34] = ((v_[314] * v_[247] + v_[312] * v_[253]) * v_[170] - (v_[313] * v_[247] + v_[309] * v_[253]) * v_[248]) * 0.5;
+ jac[35] = ((v_[256] * v_[247] + v_[279] * v_[253]) * v_[170] - (v_[320] * v_[247] + v_[318] * v_[253]) * v_[248]) * 0.5;
+ v_[248] = cos(v_[329]);
+ v_[329] = sin(v_[329]);
+ jac[36] = ((v_[366] * v_[328] + v_[360] * v_[334]) * v_[248] - (v_[365] * v_[328] + v_[359] * v_[334]) * v_[329]) * 0.5;
+ jac[37] = ((v_[377] * v_[328] + v_[375] * v_[334]) * v_[248] - (v_[376] * v_[328] + v_[372] * v_[334]) * v_[329]) * 0.5;
+ jac[38] = ((v_[337] * v_[328] + v_[346] * v_[334]) * v_[248] - (v_[383] * v_[328] + v_[381] * v_[334]) * v_[329]) * 0.5;
+ v_[329] = cos(v_[408]);
+ v_[408] = sin(v_[408]);
+ jac[39] = ((v_[463] * v_[407] + v_[457] * v_[413]) * v_[329] - (v_[462] * v_[407] + v_[456] * v_[413]) * v_[408]) * 0.5;
+ jac[40] = ((v_[474] * v_[407] + v_[472] * v_[413]) * v_[329] - (v_[473] * v_[407] + v_[469] * v_[413]) * v_[408]) * 0.5;
+ jac[41] = ((v_[416] * v_[407] + v_[439] * v_[413]) * v_[329] - (v_[480] * v_[407] + v_[478] * v_[413]) * v_[408]) * 0.5;
+ v_[408] = cos(v_[489]);
+ v_[489] = sin(v_[489]);
+ jac[42] = ((v_[526] * v_[488] + v_[520] * v_[494]) * v_[408] - (v_[525] * v_[488] + v_[519] * v_[494]) * v_[489]) * 0.5;
+ jac[43] = ((v_[537] * v_[488] + v_[535] * v_[494]) * v_[408] - (v_[536] * v_[488] + v_[532] * v_[494]) * v_[489]) * 0.5;
+ jac[44] = ((v_[497] * v_[488] + v_[506] * v_[494]) * v_[408] - (v_[543] * v_[488] + v_[541] * v_[494]) * v_[489]) * 0.5;
+ v_[489] = cos(v_[567]);
+ v_[567] = sin(v_[567]);
+ jac[45] = ((v_[622] * v_[566] + v_[616] * v_[572]) * v_[489] - (v_[621] * v_[566] + v_[615] * v_[572]) * v_[567]) * 0.5;
+ jac[46] = ((v_[633] * v_[566] + v_[631] * v_[572]) * v_[489] - (v_[632] * v_[566] + v_[628] * v_[572]) * v_[567]) * 0.5;
+ jac[47] = ((v_[575] * v_[566] + v_[598] * v_[572]) * v_[489] - (v_[639] * v_[566] + v_[637] * v_[572]) * v_[567]) * 0.5;
+ v_[567] = cos(v_[16]);
+ v_[16] = sin(v_[16]);
+ jac[48] = ((v_[46] * v_[20] + v_[35] * v_[31] + v_[42] * v_[32] + v_[47] * v_[15]) * v_[567] - (v_[45] * v_[15] + v_[35] * v_[32] + v_[39] * v_[31] + v_[47] * v_[20]) * v_[16]) * 0.5;
+ jac[49] = ((v_[57] * v_[20] + v_[51] * v_[31] + v_[55] * v_[32] + v_[58] * v_[15]) * v_[567] - (v_[53] * v_[15] + v_[51] * v_[32] + v_[54] * v_[31] + v_[58] * v_[20]) * v_[16]) * 0.5;
+ jac[50] = ((v_[66] * v_[20] + v_[62] * v_[31] + v_[64] * v_[32] + v_[38] * v_[15]) * v_[567] - (v_[63] * v_[15] + v_[62] * v_[32] + v_[10] * v_[31] + v_[38] * v_[20]) * v_[16]) * 0.5;
+ v_[16] = cos(v_[94]);
+ v_[94] = sin(v_[94]);
+ jac[51] = ((v_[140] * v_[98] + v_[125] * v_[121] + v_[136] * v_[122] + v_[141] * v_[93]) * v_[16] - (v_[139] * v_[93] + v_[125] * v_[122] + v_[133] * v_[121] + v_[141] * v_[98]) * v_[94]) * 0.5;
+ jac[52] = ((v_[151] * v_[98] + v_[145] * v_[121] + v_[149] * v_[122] + v_[152] * v_[93]) * v_[16] - (v_[147] * v_[93] + v_[145] * v_[122] + v_[148] * v_[121] + v_[152] * v_[98]) * v_[94]) * 0.5;
+ jac[53] = ((v_[160] * v_[98] + v_[156] * v_[121] + v_[158] * v_[122] + v_[132] * v_[93]) * v_[16] - (v_[157] * v_[93] + v_[156] * v_[122] + v_[88] * v_[121] + v_[132] * v_[98]) * v_[94]) * 0.5;
+ v_[94] = cos(v_[173]);
+ v_[173] = sin(v_[173]);
+ jac[54] = ((v_[203] * v_[177] + v_[192] * v_[188] + v_[199] * v_[189] + v_[204] * v_[172]) * v_[94] - (v_[202] * v_[172] + v_[192] * v_[189] + v_[196] * v_[188] + v_[204] * v_[177]) * v_[173]) * 0.5;
+ jac[55] = ((v_[214] * v_[177] + v_[208] * v_[188] + v_[212] * v_[189] + v_[215] * v_[172]) * v_[94] - (v_[210] * v_[172] + v_[208] * v_[189] + v_[211] * v_[188] + v_[215] * v_[177]) * v_[173]) * 0.5;
+ jac[56] = ((v_[223] * v_[177] + v_[219] * v_[188] + v_[221] * v_[189] + v_[195] * v_[172]) * v_[94] - (v_[220] * v_[172] + v_[219] * v_[189] + v_[167] * v_[188] + v_[195] * v_[177]) * v_[173]) * 0.5;
+ v_[173] = cos(v_[251]);
+ v_[251] = sin(v_[251]);
+ jac[57] = ((v_[299] * v_[255] + v_[284] * v_[280] + v_[295] * v_[281] + v_[300] * v_[250]) * v_[173] - (v_[298] * v_[250] + v_[284] * v_[281] + v_[292] * v_[280] + v_[300] * v_[255]) * v_[251]) * 0.5;
+ jac[58] = ((v_[310] * v_[255] + v_[304] * v_[280] + v_[308] * v_[281] + v_[311] * v_[250]) * v_[173] - (v_[306] * v_[250] + v_[304] * v_[281] + v_[307] * v_[280] + v_[311] * v_[255]) * v_[251]) * 0.5;
+ jac[59] = ((v_[319] * v_[255] + v_[315] * v_[280] + v_[317] * v_[281] + v_[291] * v_[250]) * v_[173] - (v_[316] * v_[250] + v_[315] * v_[281] + v_[245] * v_[280] + v_[291] * v_[255]) * v_[251]) * 0.5;
+ v_[251] = cos(v_[332]);
+ v_[332] = sin(v_[332]);
+ jac[60] = ((v_[362] * v_[336] + v_[351] * v_[347] + v_[358] * v_[348] + v_[363] * v_[331]) * v_[251] - (v_[361] * v_[331] + v_[351] * v_[348] + v_[355] * v_[347] + v_[363] * v_[336]) * v_[332]) * 0.5;
+ jac[61] = ((v_[373] * v_[336] + v_[367] * v_[347] + v_[371] * v_[348] + v_[374] * v_[331]) * v_[251] - (v_[369] * v_[331] + v_[367] * v_[348] + v_[370] * v_[347] + v_[374] * v_[336]) * v_[332]) * 0.5;
+ jac[62] = ((v_[382] * v_[336] + v_[378] * v_[347] + v_[380] * v_[348] + v_[354] * v_[331]) * v_[251] - (v_[379] * v_[331] + v_[378] * v_[348] + v_[326] * v_[347] + v_[354] * v_[336]) * v_[332]) * 0.5;
+ v_[332] = cos(v_[411]);
+ v_[411] = sin(v_[411]);
+ jac[63] = ((v_[459] * v_[415] + v_[444] * v_[440] + v_[455] * v_[441] + v_[460] * v_[410]) * v_[332] - (v_[458] * v_[410] + v_[444] * v_[441] + v_[452] * v_[440] + v_[460] * v_[415]) * v_[411]) * 0.5;
+ jac[64] = ((v_[470] * v_[415] + v_[464] * v_[440] + v_[468] * v_[441] + v_[471] * v_[410]) * v_[332] - (v_[466] * v_[410] + v_[464] * v_[441] + v_[467] * v_[440] + v_[471] * v_[415]) * v_[411]) * 0.5;
+ jac[65] = ((v_[479] * v_[415] + v_[475] * v_[440] + v_[477] * v_[441] + v_[451] * v_[410]) * v_[332] - (v_[476] * v_[410] + v_[475] * v_[441] + v_[405] * v_[440] + v_[451] * v_[415]) * v_[411]) * 0.5;
+ v_[411] = cos(v_[492]);
+ v_[492] = sin(v_[492]);
+ jac[66] = ((v_[522] * v_[496] + v_[511] * v_[507] + v_[518] * v_[508] + v_[523] * v_[491]) * v_[411] - (v_[521] * v_[491] + v_[511] * v_[508] + v_[515] * v_[507] + v_[523] * v_[496]) * v_[492]) * 0.5;
+ jac[67] = ((v_[533] * v_[496] + v_[527] * v_[507] + v_[531] * v_[508] + v_[534] * v_[491]) * v_[411] - (v_[529] * v_[491] + v_[527] * v_[508] + v_[530] * v_[507] + v_[534] * v_[496]) * v_[492]) * 0.5;
+ jac[68] = ((v_[542] * v_[496] + v_[538] * v_[507] + v_[540] * v_[508] + v_[514] * v_[491]) * v_[411] - (v_[539] * v_[491] + v_[538] * v_[508] + v_[486] * v_[507] + v_[514] * v_[496]) * v_[492]) * 0.5;
+ v_[492] = cos(v_[570]);
+ v_[570] = sin(v_[570]);
+ jac[69] = ((v_[618] * v_[574] + v_[603] * v_[599] + v_[614] * v_[600] + v_[619] * v_[569]) * v_[492] - (v_[617] * v_[569] + v_[603] * v_[600] + v_[611] * v_[599] + v_[619] * v_[574]) * v_[570]) * 0.5;
+ jac[70] = ((v_[629] * v_[574] + v_[623] * v_[599] + v_[627] * v_[600] + v_[630] * v_[569]) * v_[492] - (v_[625] * v_[569] + v_[623] * v_[600] + v_[626] * v_[599] + v_[630] * v_[574]) * v_[570]) * 0.5;
+ jac[71] = ((v_[638] * v_[574] + v_[634] * v_[599] + v_[636] * v_[600] + v_[610] * v_[569]) * v_[492] - (v_[635] * v_[569] + v_[634] * v_[600] + v_[564] * v_[599] + v_[610] * v_[574]) * v_[570]) * 0.5;
+ v_[570] = v_[23] * v_[40];
+ v_[492] = v_[34] * v_[41];
+ v_[610] = v_[570] + v_[492];
+ v_[638] = v_[610] * v_[4];
+ v_[635] = 0 - v_[610];
+ v_[636] = v_[635] * v_[8];
+ v_[564] = 0 - v_[610];
+ v_[634] = sin(x_in[6]);
+ v_[600] = v_[34] * v_[40];
+ v_[599] = v_[23] * v_[41];
+ v_[574] = v_[600] - v_[599];
+ v_[569] = v_[574] * v_[4];
+ v_[630] = 0 - v_[574];
+ v_[629] = v_[630] * v_[8];
+ v_[625] = 0 - v_[574];
+ v_[627] = cos(x_in[6]);
+ jac[144] = 0 - (v_[638] * v_[2] * 0.33 + v_[636] * v_[6] * 0.33 + v_[564] * v_[6] * 0.35 + (0 - v_[610]) * 0.08) * v_[634] + (v_[569] * v_[2] * 0.33 + v_[629] * v_[6] * 0.33 + v_[625] * v_[6] * 0.35 + (0 - v_[574]) * 0.08) * v_[627];
+ v_[626] = v_[23] * v_[33];
+ v_[41] = v_[52] * v_[41];
+ v_[623] = v_[626] - v_[41];
+ v_[619] = v_[623] * v_[4];
+ v_[618] = 0 - v_[623];
+ v_[617] = v_[618] * v_[8];
+ v_[614] = 0 - v_[623];
+ v_[23] = v_[23] * v_[22];
+ v_[52] = v_[52] * v_[40];
+ v_[40] = 1 - v_[23] - v_[52];
+ v_[22] = v_[40] * v_[4];
+ v_[611] = 0 - v_[40];
+ v_[603] = v_[611] * v_[8];
+ v_[411] = 0 - v_[40];
+ jac[145] = 0 - (v_[619] * v_[2] * 0.33 + v_[617] * v_[6] * 0.33 + v_[614] * v_[6] * 0.35 + (0 - v_[623]) * 0.08) * v_[634] + (v_[22] * v_[2] * 0.33 + v_[603] * v_[6] * 0.33 + v_[411] * v_[6] * 0.35 + (0 - v_[40]) * 0.08) * v_[627];
+ v_[34] = v_[34] * v_[33];
+ v_[52] = 1 - v_[34] - v_[52];
+ v_[33] = v_[52] * v_[4];
+ v_[514] = 0 - v_[52];
+ v_[542] = v_[514] * v_[8];
+ v_[539] = 0 - v_[52];
+ v_[41] = v_[626] + v_[41];
+ v_[626] = v_[41] * v_[4];
+ v_[540] = 0 - v_[41];
+ v_[486] = v_[540] * v_[8];
+ v_[538] = 0 - v_[41];
+ jac[146] = 0 - (v_[33] * v_[2] * 0.33 + v_[542] * v_[6] * 0.33 + v_[539] * v_[6] * 0.35 + (0 - v_[52]) * 0.08) * v_[634] + (v_[626] * v_[2] * 0.33 + v_[486] * v_[6] * 0.33 + v_[538] * v_[6] * 0.35 + (0 - v_[41]) * 0.08) * v_[627];
+ v_[100] = v_[101] * v_[100];
+ v_[508] = v_[124] * v_[123];
+ jac[507] = 1 - v_[100] - v_[508];
+ v_[507] = v_[124] * v_[134];
+ v_[496] = v_[101] * v_[135];
+ jac[531] = v_[507] - v_[496];
+ jac[508] = v_[507] + v_[496];
+ v_[496] = 0 - jac[531];
+ v_[507] = jac[507] * x_in[19] + v_[496] * x_in[18];
+ v_[491] = v_[507] * v_[4];
+ v_[534] = 0 - v_[507];
+ v_[533] = v_[101] * v_[134];
+ v_[124] = v_[124] * v_[135];
+ jac[555] = v_[533] + v_[124];
+ jac[435] = v_[496] * v_[0] + jac[555] * v_[84];
+ jac[509] = v_[533] - v_[124];
+ jac[579] = jac[555] * v_[78] + jac[531] * v_[116];
+ jac[603] = jac[555] * v_[72] + jac[531] * v_[110] + jac[507] * v_[131];
+ jac[627] = jac[555] * v_[17] + jac[531] * v_[106] + jac[507] * v_[128];
+ v_[124] = jac[555] * x_in[26];
+ v_[533] = v_[124] * v_[8];
+ v_[496] = jac[555] * x_in[25];
+ v_[529] = v_[496] * v_[4];
+ v_[531] = v_[124] * v_[4];
+ v_[530] = v_[496] * v_[8];
+ v_[527] = jac[531] * x_in[24];
+ v_[523] = v_[527] * v_[4];
+ v_[522] = 0 - v_[507];
+ v_[521] = 0 - v_[527];
+ v_[518] = v_[522] * v_[8] + v_[521] * v_[8];
+ v_[515] = 0 - v_[527];
+ v_[511] = 0 - jac[507];
+ jac[483] = v_[511] * v_[84] + jac[531] * v_[87];
+ v_[511] = v_[511] * x_in[20] + jac[555] * x_in[18];
+ v_[332] = v_[511] * v_[4];
+ v_[451] = 0 - v_[511];
+ v_[479] = v_[451] * v_[8];
+ v_[476] = 0 - v_[511];
+ v_[477] = jac[555] * x_in[24];
+ v_[405] = v_[477] * v_[4];
+ v_[475] = v_[477] * v_[8];
+ v_[441] = jac[531] * x_in[26];
+ v_[440] = v_[441] * v_[8];
+ v_[415] = jac[531] * x_in[25];
+ v_[410] = v_[415] * v_[4];
+ v_[471] = v_[441] * v_[4];
+ v_[470] = v_[415] * v_[8];
+ jac[147] = 0 - (v_[491] * v_[2] * 0.33 + v_[534] * v_[6] * 0.35 + (0 - v_[507]) * 0.08 + v_[533] * v_[2] * 0.33 + v_[529] * v_[6] * 0.33 + (v_[531] * v_[6] + v_[530] * v_[2]) * 0.33 + v_[496] * v_[2] * 0.35 + v_[523] * v_[2] * 0.33 + v_[518] * v_[6] * 0.33 + v_[515] * v_[6] * 0.35 + (0 - v_[527]) * 0.08) * v_[634] + (v_[332] * v_[2] * 0.33 + v_[479] * v_[6] * 0.33 + v_[476] * v_[6] * 0.35 + (0 - v_[511]) * 0.08 + v_[405] * v_[2] * -0.33 + v_[475] * v_[6] * 0.33 + v_[477] * v_[6] * 0.35 + v_[477] * 0.08 + v_[440] * v_[2] * 0.33 + v_[410] * v_[6] * 0.33 + (v_[471] * v_[6] + v_[470] * v_[2]) * 0.33 + v_[415] * v_[2] * 0.35) * v_[627];
+ v_[134] = v_[146] * v_[134];
+ jac[532] = 1 - v_[100] - v_[134];
+ jac[557] = 1 - v_[508] - v_[134];
+ v_[134] = 0 - jac[532];
+ v_[508] = jac[508] * x_in[19] + v_[134] * x_in[18];
+ v_[100] = v_[508] * v_[4];
+ v_[466] = 0 - v_[508];
+ v_[123] = v_[101] * v_[123];
+ v_[146] = v_[146] * v_[135];
+ jac[556] = v_[123] - v_[146];
+ jac[436] = v_[134] * v_[0] + jac[556] * v_[84];
+ jac[533] = v_[123] + v_[146];
+ jac[580] = jac[556] * v_[78] + jac[532] * v_[116];
+ jac[581] = jac[557] * v_[78] + jac[533] * v_[116];
+ jac[604] = jac[556] * v_[72] + jac[532] * v_[110] + jac[508] * v_[131];
+ jac[605] = jac[557] * v_[72] + jac[533] * v_[110] + jac[509] * v_[131];
+ jac[628] = jac[556] * v_[17] + jac[532] * v_[106] + jac[508] * v_[128];
+ jac[629] = jac[557] * v_[17] + jac[533] * v_[106] + jac[509] * v_[128];
+ v_[128] = jac[556] * x_in[26];
+ v_[106] = v_[128] * v_[8];
+ v_[17] = jac[556] * x_in[25];
+ v_[131] = v_[17] * v_[4];
+ v_[110] = v_[128] * v_[4];
+ v_[72] = v_[17] * v_[8];
+ v_[116] = jac[532] * x_in[24];
+ v_[78] = v_[116] * v_[4];
+ v_[146] = 0 - v_[508];
+ v_[123] = 0 - v_[116];
+ v_[134] = v_[146] * v_[8] + v_[123] * v_[8];
+ v_[135] = 0 - v_[116];
+ v_[101] = 0 - jac[508];
+ jac[484] = v_[101] * v_[84] + jac[532] * v_[87];
+ v_[101] = v_[101] * x_in[20] + jac[556] * x_in[18];
+ v_[468] = v_[101] * v_[4];
+ v_[467] = 0 - v_[101];
+ v_[464] = v_[467] * v_[8];
+ v_[460] = 0 - v_[101];
+ v_[459] = jac[556] * x_in[24];
+ v_[458] = v_[459] * v_[4];
+ v_[455] = v_[459] * v_[8];
+ v_[452] = jac[532] * x_in[26];
+ v_[444] = v_[452] * v_[8];
+ v_[251] = jac[532] * x_in[25];
+ v_[354] = v_[251] * v_[4];
+ v_[382] = v_[452] * v_[4];
+ v_[379] = v_[251] * v_[8];
+ jac[148] = 0 - (v_[100] * v_[2] * 0.33 + v_[466] * v_[6] * 0.35 + (0 - v_[508]) * 0.08 + v_[106] * v_[2] * 0.33 + v_[131] * v_[6] * 0.33 + (v_[110] * v_[6] + v_[72] * v_[2]) * 0.33 + v_[17] * v_[2] * 0.35 + v_[78] * v_[2] * 0.33 + v_[134] * v_[6] * 0.33 + v_[135] * v_[6] * 0.35 + (0 - v_[116]) * 0.08) * v_[634] + (v_[468] * v_[2] * 0.33 + v_[464] * v_[6] * 0.33 + v_[460] * v_[6] * 0.35 + (0 - v_[101]) * 0.08 + v_[458] * v_[2] * -0.33 + v_[455] * v_[6] * 0.33 + v_[459] * v_[6] * 0.35 + v_[459] * 0.08 + v_[444] * v_[2] * 0.33 + v_[354] * v_[6] * 0.33 + (v_[382] * v_[6] + v_[379] * v_[2]) * 0.33 + v_[251] * v_[2] * 0.35) * v_[627];
+ v_[380] = 0 - jac[533];
+ v_[326] = jac[509] * x_in[19] + v_[380] * x_in[18];
+ v_[378] = v_[326] * v_[4];
+ v_[348] = 0 - v_[326];
+ jac[437] = v_[380] * v_[0] + jac[557] * v_[84];
+ v_[380] = jac[557] * x_in[26];
+ v_[347] = v_[380] * v_[8];
+ v_[336] = jac[557] * x_in[25];
+ v_[331] = v_[336] * v_[4];
+ v_[374] = v_[380] * v_[4];
+ v_[373] = v_[336] * v_[8];
+ v_[369] = jac[533] * x_in[24];
+ v_[371] = v_[369] * v_[4];
+ v_[370] = 0 - v_[326];
+ v_[367] = 0 - v_[369];
+ v_[363] = v_[370] * v_[8] + v_[367] * v_[8];
+ v_[362] = 0 - v_[369];
+ v_[361] = 0 - jac[509];
+ jac[485] = v_[361] * v_[84] + jac[533] * v_[87];
+ v_[361] = v_[361] * x_in[20] + jac[557] * x_in[18];
+ v_[84] = v_[361] * v_[4];
+ v_[358] = 0 - v_[361];
+ v_[355] = v_[358] * v_[8];
+ v_[351] = 0 - v_[361];
+ v_[173] = jac[557] * x_in[24];
+ v_[291] = v_[173] * v_[4];
+ v_[319] = v_[173] * v_[8];
+ v_[316] = jac[533] * x_in[26];
+ v_[317] = v_[316] * v_[8];
+ v_[245] = jac[533] * x_in[25];
+ v_[315] = v_[245] * v_[4];
+ v_[281] = v_[316] * v_[4];
+ v_[280] = v_[245] * v_[8];
+ jac[149] = 0 - (v_[378] * v_[2] * 0.33 + v_[348] * v_[6] * 0.35 + (0 - v_[326]) * 0.08 + v_[347] * v_[2] * 0.33 + v_[331] * v_[6] * 0.33 + (v_[374] * v_[6] + v_[373] * v_[2]) * 0.33 + v_[336] * v_[2] * 0.35 + v_[371] * v_[2] * 0.33 + v_[363] * v_[6] * 0.33 + v_[362] * v_[6] * 0.35 + (0 - v_[369]) * 0.08) * v_[634] + (v_[84] * v_[2] * 0.33 + v_[355] * v_[6] * 0.33 + v_[351] * v_[6] * 0.35 + (0 - v_[361]) * 0.08 + v_[291] * v_[2] * -0.33 + v_[319] * v_[6] * 0.33 + v_[173] * v_[6] * 0.35 + v_[173] * 0.08 + v_[317] * v_[2] * 0.33 + v_[315] * v_[6] * 0.33 + (v_[281] * v_[6] + v_[280] * v_[2]) * 0.33 + v_[245] * v_[2] * 0.35) * v_[627];
+ v_[34] = 1 - v_[23] - v_[34];
+ v_[23] = sin(x_in[7]);
+ v_[627] = 0 - v_[34];
+ v_[634] = cos(x_in[7]);
+ jac[168] = 0 - (v_[636] * v_[5] + v_[564] * v_[9] + v_[629] * v_[27] + v_[625] * v_[29] + v_[34] * v_[4] * -0.33) * v_[23] + (v_[638] * v_[1] + v_[569] * v_[25] + v_[627] * v_[8] * 0.33 + (0 - v_[34]) * 0.35) * v_[634];
+ v_[599] = v_[600] + v_[599];
+ v_[600] = 0 - v_[599];
+ jac[169] = 0 - (v_[617] * v_[5] + v_[614] * v_[9] + v_[603] * v_[27] + v_[411] * v_[29] + v_[599] * v_[4] * -0.33) * v_[23] + (v_[619] * v_[1] + v_[22] * v_[25] + v_[600] * v_[8] * 0.33 + (0 - v_[599]) * 0.35) * v_[634];
+ v_[492] = v_[570] - v_[492];
+ v_[570] = 0 - v_[492];
+ jac[170] = 0 - (v_[542] * v_[5] + v_[539] * v_[9] + v_[486] * v_[27] + v_[538] * v_[29] + v_[492] * v_[4] * -0.33) * v_[23] + (v_[33] * v_[1] + v_[626] * v_[25] + v_[570] * v_[8] * 0.33 + (0 - v_[492]) * 0.35) * v_[634];
+ v_[538] = 0 - jac[555];
+ jac[459] = jac[507] * v_[0] + v_[538] * v_[87];
+ v_[538] = jac[531] * x_in[20] + v_[538] * x_in[19];
+ v_[486] = jac[507] * x_in[26];
+ v_[626] = 0 - v_[486];
+ v_[539] = jac[507] * x_in[25];
+ v_[542] = 0 - v_[539];
+ v_[33] = 0 - v_[538];
+ jac[171] = 0 - (v_[534] * v_[119] + v_[479] * v_[81] + v_[476] * v_[83] + v_[538] * v_[4] * -0.33 + v_[531] * v_[11] + v_[529] * v_[69] + v_[475] * v_[73] + v_[477] * v_[77] + v_[471] * v_[102] + v_[410] * v_[108] + v_[518] * v_[113] + v_[515] * v_[115] + v_[626] * v_[8] * 0.33 + v_[542] * v_[8] * 0.33 + (0 - v_[539]) * 0.35) * v_[23] + (v_[491] * v_[117] + v_[332] * v_[79] + v_[33] * v_[8] * 0.33 + (0 - v_[538]) * 0.35 + v_[533] * v_[19] + v_[530] * v_[11] + v_[496] * v_[71] + v_[405] * v_[75] + v_[440] * v_[104] + v_[470] * v_[102] + v_[415] * v_[24] + v_[523] * v_[111] + v_[486] * v_[4] * 0.33 + v_[539] * v_[4] * 0.33) * v_[634];
+ v_[470] = 0 - jac[556];
+ jac[460] = jac[508] * v_[0] + v_[470] * v_[87];
+ v_[470] = jac[532] * x_in[20] + v_[470] * x_in[19];
+ v_[471] = jac[508] * x_in[26];
+ v_[410] = 0 - v_[471];
+ v_[440] = jac[508] * x_in[25];
+ v_[475] = 0 - v_[440];
+ v_[405] = 0 - v_[470];
+ jac[172] = 0 - (v_[466] * v_[119] + v_[464] * v_[81] + v_[460] * v_[83] + v_[470] * v_[4] * -0.33 + v_[110] * v_[11] + v_[131] * v_[69] + v_[455] * v_[73] + v_[459] * v_[77] + v_[382] * v_[102] + v_[354] * v_[108] + v_[134] * v_[113] + v_[135] * v_[115] + v_[410] * v_[8] * 0.33 + v_[475] * v_[8] * 0.33 + (0 - v_[440]) * 0.35) * v_[23] + (v_[100] * v_[117] + v_[468] * v_[79] + v_[405] * v_[8] * 0.33 + (0 - v_[470]) * 0.35 + v_[106] * v_[19] + v_[72] * v_[11] + v_[17] * v_[71] + v_[458] * v_[75] + v_[444] * v_[104] + v_[379] * v_[102] + v_[251] * v_[24] + v_[78] * v_[111] + v_[471] * v_[4] * 0.33 + v_[440] * v_[4] * 0.33) * v_[634];
+ v_[379] = 0 - jac[557];
+ jac[461] = jac[509] * v_[0] + v_[379] * v_[87];
+ v_[379] = jac[533] * x_in[20] + v_[379] * x_in[19];
+ v_[0] = jac[509] * x_in[26];
+ v_[87] = 0 - v_[0];
+ v_[382] = jac[509] * x_in[25];
+ v_[354] = 0 - v_[382];
+ v_[444] = 0 - v_[379];
+ jac[173] = 0 - (v_[348] * v_[119] + v_[355] * v_[81] + v_[351] * v_[83] + v_[379] * v_[4] * -0.33 + v_[374] * v_[11] + v_[331] * v_[69] + v_[319] * v_[73] + v_[173] * v_[77] + v_[281] * v_[102] + v_[315] * v_[108] + v_[363] * v_[113] + v_[362] * v_[115] + v_[87] * v_[8] * 0.33 + v_[354] * v_[8] * 0.33 + (0 - v_[382]) * 0.35) * v_[23] + (v_[378] * v_[117] + v_[84] * v_[79] + v_[444] * v_[8] * 0.33 + (0 - v_[379]) * 0.35 + v_[347] * v_[19] + v_[373] * v_[11] + v_[336] * v_[71] + v_[291] * v_[75] + v_[317] * v_[104] + v_[280] * v_[102] + v_[245] * v_[24] + v_[371] * v_[111] + v_[0] * v_[4] * 0.33 + v_[382] * v_[4] * 0.33) * v_[634];
+ v_[634] = sin(x_in[8]);
+ v_[23] = cos(x_in[8]);
+ jac[192] = 0 - (v_[635] * v_[7] + v_[630] * v_[28] + v_[627] * v_[37]) * v_[634] + (v_[610] * v_[3] + v_[574] * v_[26] + v_[34] * v_[36]) * v_[23];
+ jac[193] = 0 - (v_[618] * v_[7] + v_[611] * v_[28] + v_[600] * v_[37]) * v_[634] + (v_[623] * v_[3] + v_[40] * v_[26] + v_[599] * v_[36]) * v_[23];
+ jac[194] = 0 - (v_[514] * v_[7] + v_[540] * v_[28] + v_[570] * v_[37]) * v_[634] + (v_[52] * v_[3] + v_[41] * v_[26] + v_[492] * v_[36]) * v_[23];
+ jac[195] = 0 - (v_[522] * v_[114] + v_[451] * v_[82] + v_[33] * v_[86] + v_[124] * v_[14] + v_[496] * v_[68] + v_[477] * v_[74] + v_[441] * v_[105] + v_[415] * v_[107] + v_[521] * v_[114] + v_[626] * v_[127] + v_[542] * v_[130]) * v_[634] + (v_[507] * v_[118] + v_[511] * v_[80] + v_[538] * v_[85] + v_[124] * v_[48] + v_[496] * v_[70] + v_[477] * v_[76] + v_[441] * v_[103] + v_[415] * v_[109] + v_[527] * v_[112] + v_[486] * v_[126] + v_[539] * v_[129]) * v_[23];
+ jac[196] = 0 - (v_[146] * v_[114] + v_[467] * v_[82] + v_[405] * v_[86] + v_[128] * v_[14] + v_[17] * v_[68] + v_[459] * v_[74] + v_[452] * v_[105] + v_[251] * v_[107] + v_[123] * v_[114] + v_[410] * v_[127] + v_[475] * v_[130]) * v_[634] + (v_[508] * v_[118] + v_[101] * v_[80] + v_[470] * v_[85] + v_[128] * v_[48] + v_[17] * v_[70] + v_[459] * v_[76] + v_[452] * v_[103] + v_[251] * v_[109] + v_[116] * v_[112] + v_[471] * v_[126] + v_[440] * v_[129]) * v_[23];
+ jac[197] = 0 - (v_[370] * v_[114] + v_[358] * v_[82] + v_[444] * v_[86] + v_[380] * v_[14] + v_[336] * v_[68] + v_[173] * v_[74] + v_[316] * v_[105] + v_[245] * v_[107] + v_[367] * v_[114] + v_[87] * v_[127] + v_[354] * v_[130]) * v_[634] + (v_[326] * v_[118] + v_[361] * v_[80] + v_[379] * v_[85] + v_[380] * v_[48] + v_[336] * v_[70] + v_[173] * v_[76] + v_[316] * v_[103] + v_[245] * v_[109] + v_[369] * v_[112] + v_[0] * v_[126] + v_[382] * v_[129]) * v_[23];
+ v_[23] = v_[180] * v_[197];
+ v_[634] = v_[191] * v_[198];
+ v_[444] = v_[23] + v_[634];
+ v_[354] = v_[444] * v_[95];
+ v_[382] = 0 - v_[444];
+ v_[87] = v_[382] * v_[165];
+ v_[0] = 0 - v_[444];
+ v_[379] = sin(x_in[9]);
+ v_[245] = v_[191] * v_[197];
+ v_[316] = v_[180] * v_[198];
+ v_[173] = v_[245] - v_[316];
+ v_[358] = v_[173] * v_[95];
+ v_[361] = v_[173] * v_[165];
+ v_[367] = cos(x_in[9]);
+ jac[222] = 0 - (v_[354] * v_[97] * 0.33 + v_[87] * v_[163] * 0.33 + v_[0] * v_[163] * 0.35 + (0 - v_[444]) * 0.08) * v_[379] + (v_[358] * v_[97] * -0.33 + v_[361] * v_[163] * 0.33 + v_[173] * v_[163] * 0.35 + v_[173] * 0.08) * v_[367];
+ v_[370] = v_[180] * v_[190];
+ v_[198] = v_[209] * v_[198];
+ v_[369] = v_[370] - v_[198];
+ v_[336] = v_[369] * v_[95];
+ v_[380] = 0 - v_[369];
+ v_[326] = v_[380] * v_[165];
+ v_[130] = 0 - v_[369];
+ v_[180] = v_[180] * v_[179];
+ v_[209] = v_[209] * v_[197];
+ v_[197] = 1 - v_[180] - v_[209];
+ v_[179] = v_[197] * v_[95];
+ v_[129] = v_[197] * v_[165];
+ jac[223] = 0 - (v_[336] * v_[97] * 0.33 + v_[326] * v_[163] * 0.33 + v_[130] * v_[163] * 0.35 + (0 - v_[369]) * 0.08) * v_[379] + (v_[179] * v_[97] * -0.33 + v_[129] * v_[163] * 0.33 + v_[197] * v_[163] * 0.35 + v_[197] * 0.08) * v_[367];
+ v_[191] = v_[191] * v_[190];
+ v_[209] = 1 - v_[191] - v_[209];
+ v_[190] = v_[209] * v_[95];
+ v_[127] = 0 - v_[209];
+ v_[126] = v_[127] * v_[165];
+ v_[118] = 0 - v_[209];
+ v_[198] = v_[370] + v_[198];
+ v_[370] = v_[198] * v_[95];
+ v_[114] = v_[198] * v_[165];
+ jac[224] = 0 - (v_[190] * v_[97] * 0.33 + v_[126] * v_[163] * 0.33 + v_[118] * v_[163] * 0.35 + (0 - v_[209]) * 0.08) * v_[379] + (v_[370] * v_[97] * -0.33 + v_[114] * v_[163] * 0.33 + v_[198] * v_[163] * 0.35 + v_[198] * 0.08) * v_[367];
+ v_[257] = v_[258] * v_[257];
+ v_[112] = v_[283] * v_[282];
+ jac[513] = 1 - v_[257] - v_[112];
+ v_[109] = v_[283] * v_[293];
+ v_[107] = v_[258] * v_[294];
+ jac[537] = v_[109] - v_[107];
+ jac[514] = v_[109] + v_[107];
+ v_[107] = 0 - jac[537];
+ v_[109] = jac[513] * x_in[19] + v_[107] * x_in[18];
+ v_[105] = v_[109] * v_[95];
+ v_[103] = 0 - v_[109];
+ v_[86] = v_[103] * v_[165];
+ v_[85] = 0 - v_[109];
+ v_[82] = v_[258] * v_[293];
+ v_[283] = v_[283] * v_[294];
+ jac[561] = v_[82] + v_[283];
+ jac[441] = v_[107] * v_[89] + jac[561] * v_[241];
+ jac[515] = v_[82] - v_[283];
+ jac[657] = jac[561] * v_[235] + jac[537] * v_[273];
+ jac[681] = jac[561] * v_[229] + jac[537] * v_[267] + jac[513] * v_[290];
+ jac[705] = jac[561] * v_[174] + jac[537] * v_[263] + jac[513] * v_[287];
+ v_[283] = jac[561] * x_in[29];
+ v_[82] = v_[283] * v_[165];
+ v_[107] = jac[561] * x_in[28];
+ v_[80] = v_[107] * v_[95];
+ v_[76] = v_[283] * v_[95];
+ v_[74] = v_[107] * v_[165];
+ v_[70] = jac[537] * x_in[27];
+ v_[68] = v_[70] * v_[95];
+ v_[14] = v_[70] * v_[165];
+ v_[48] = 0 - jac[513];
+ jac[489] = v_[48] * v_[241] + jac[537] * v_[244];
+ v_[48] = v_[48] * x_in[20] + jac[561] * x_in[18];
+ v_[405] = v_[48] * v_[95];
+ v_[475] = v_[48] * v_[165];
+ v_[440] = jac[561] * x_in[27];
+ v_[410] = v_[440] * v_[165];
+ v_[471] = jac[537] * x_in[29];
+ v_[470] = v_[471] * v_[95];
+ v_[251] = 0 - v_[471];
+ v_[452] = v_[251] * v_[165];
+ v_[459] = v_[440] * v_[95];
+ v_[467] = jac[537] * x_in[28];
+ v_[101] = v_[467] * v_[95];
+ v_[123] = 0 - v_[467];
+ v_[146] = v_[123] * v_[165];
+ v_[116] = 0 - v_[467];
+ jac[225] = 0 - (v_[105] * v_[97] * 0.33 + v_[86] * v_[163] * 0.33 + v_[85] * v_[163] * 0.35 + (0 - v_[109]) * 0.08 + v_[82] * v_[97] * 0.33 + v_[80] * v_[163] * 0.33 + (v_[76] * v_[163] + v_[74] * v_[97]) * 0.33 + v_[107] * v_[97] * 0.35 + v_[68] * v_[97] * -0.33 + v_[14] * v_[163] * 0.33 + v_[70] * v_[163] * 0.35 + v_[70] * 0.08) * v_[379] + (v_[405] * v_[97] * -0.33 + v_[475] * v_[163] * 0.33 + v_[48] * v_[163] * 0.35 + v_[48] * 0.08 + v_[410] * v_[163] * 0.33 + v_[440] * v_[163] * 0.35 + v_[440] * 0.08 + v_[470] * v_[163] * -0.33 + v_[452] * v_[97] * 0.33 + (v_[459] * v_[97] + v_[101] * v_[163]) * -0.33 + v_[146] * v_[97] * 0.33 + v_[116] * v_[97] * 0.35) * v_[367];
+ v_[293] = v_[305] * v_[293];
+ jac[538] = 1 - v_[257] - v_[293];
+ jac[563] = 1 - v_[112] - v_[293];
+ v_[293] = 0 - jac[538];
+ v_[112] = jac[514] * x_in[19] + v_[293] * x_in[18];
+ v_[257] = v_[112] * v_[95];
+ v_[17] = 0 - v_[112];
+ v_[128] = v_[17] * v_[165];
+ v_[508] = 0 - v_[112];
+ v_[282] = v_[258] * v_[282];
+ v_[305] = v_[305] * v_[294];
+ jac[562] = v_[282] - v_[305];
+ jac[442] = v_[293] * v_[89] + jac[562] * v_[241];
+ jac[539] = v_[282] + v_[305];
+ jac[658] = jac[562] * v_[235] + jac[538] * v_[273];
+ jac[659] = jac[563] * v_[235] + jac[539] * v_[273];
+ jac[682] = jac[562] * v_[229] + jac[538] * v_[267] + jac[514] * v_[290];
+ jac[683] = jac[563] * v_[229] + jac[539] * v_[267] + jac[515] * v_[290];
+ jac[706] = jac[562] * v_[174] + jac[538] * v_[263] + jac[514] * v_[287];
+ jac[707] = jac[563] * v_[174] + jac[539] * v_[263] + jac[515] * v_[287];
+ v_[287] = jac[562] * x_in[29];
+ v_[263] = v_[287] * v_[165];
+ v_[174] = jac[562] * x_in[28];
+ v_[290] = v_[174] * v_[95];
+ v_[267] = v_[287] * v_[95];
+ v_[229] = v_[174] * v_[165];
+ v_[273] = jac[538] * x_in[27];
+ v_[235] = v_[273] * v_[95];
+ v_[305] = v_[273] * v_[165];
+ v_[282] = 0 - jac[514];
+ jac[490] = v_[282] * v_[241] + jac[538] * v_[244];
+ v_[282] = v_[282] * x_in[20] + jac[562] * x_in[18];
+ v_[293] = v_[282] * v_[95];
+ v_[294] = v_[282] * v_[165];
+ v_[258] = jac[562] * x_in[27];
+ v_[33] = v_[258] * v_[165];
+ v_[542] = jac[538] * x_in[29];
+ v_[539] = v_[542] * v_[95];
+ v_[626] = 0 - v_[542];
+ v_[486] = v_[626] * v_[165];
+ v_[538] = v_[258] * v_[95];
+ v_[415] = jac[538] * x_in[28];
+ v_[441] = v_[415] * v_[95];
+ v_[477] = 0 - v_[415];
+ v_[451] = v_[477] * v_[165];
+ v_[511] = 0 - v_[415];
+ jac[226] = 0 - (v_[257] * v_[97] * 0.33 + v_[128] * v_[163] * 0.33 + v_[508] * v_[163] * 0.35 + (0 - v_[112]) * 0.08 + v_[263] * v_[97] * 0.33 + v_[290] * v_[163] * 0.33 + (v_[267] * v_[163] + v_[229] * v_[97]) * 0.33 + v_[174] * v_[97] * 0.35 + v_[235] * v_[97] * -0.33 + v_[305] * v_[163] * 0.33 + v_[273] * v_[163] * 0.35 + v_[273] * 0.08) * v_[379] + (v_[293] * v_[97] * -0.33 + v_[294] * v_[163] * 0.33 + v_[282] * v_[163] * 0.35 + v_[282] * 0.08 + v_[33] * v_[163] * 0.33 + v_[258] * v_[163] * 0.35 + v_[258] * 0.08 + v_[539] * v_[163] * -0.33 + v_[486] * v_[97] * 0.33 + (v_[538] * v_[97] + v_[441] * v_[163]) * -0.33 + v_[451] * v_[97] * 0.33 + v_[511] * v_[97] * 0.35) * v_[367];
+ v_[521] = 0 - jac[539];
+ v_[522] = jac[515] * x_in[19] + v_[521] * x_in[18];
+ v_[527] = v_[522] * v_[95];
+ v_[496] = 0 - v_[522];
+ v_[124] = v_[496] * v_[165];
+ v_[507] = 0 - v_[522];
+ jac[443] = v_[521] * v_[89] + jac[563] * v_[241];
+ v_[521] = jac[563] * x_in[29];
+ v_[570] = v_[521] * v_[165];
+ v_[492] = jac[563] * x_in[28];
+ v_[540] = v_[492] * v_[95];
+ v_[41] = v_[521] * v_[95];
+ v_[514] = v_[492] * v_[165];
+ v_[52] = jac[539] * x_in[27];
+ v_[37] = v_[52] * v_[95];
+ v_[36] = v_[52] * v_[165];
+ v_[28] = 0 - jac[515];
+ jac[491] = v_[28] * v_[241] + jac[539] * v_[244];
+ v_[28] = v_[28] * x_in[20] + jac[563] * x_in[18];
+ v_[241] = v_[28] * v_[95];
+ v_[26] = v_[28] * v_[165];
+ v_[7] = jac[563] * x_in[27];
+ v_[3] = v_[7] * v_[165];
+ v_[600] = jac[539] * x_in[29];
+ v_[599] = v_[600] * v_[95];
+ v_[611] = 0 - v_[600];
+ v_[40] = v_[611] * v_[165];
+ v_[618] = v_[7] * v_[95];
+ v_[623] = jac[539] * x_in[28];
+ v_[627] = v_[623] * v_[95];
+ v_[34] = 0 - v_[623];
+ v_[630] = v_[34] * v_[165];
+ v_[574] = 0 - v_[623];
+ jac[227] = 0 - (v_[527] * v_[97] * 0.33 + v_[124] * v_[163] * 0.33 + v_[507] * v_[163] * 0.35 + (0 - v_[522]) * 0.08 + v_[570] * v_[97] * 0.33 + v_[540] * v_[163] * 0.33 + (v_[41] * v_[163] + v_[514] * v_[97]) * 0.33 + v_[492] * v_[97] * 0.35 + v_[37] * v_[97] * -0.33 + v_[36] * v_[163] * 0.33 + v_[52] * v_[163] * 0.35 + v_[52] * 0.08) * v_[379] + (v_[241] * v_[97] * -0.33 + v_[26] * v_[163] * 0.33 + v_[28] * v_[163] * 0.35 + v_[28] * 0.08 + v_[3] * v_[163] * 0.33 + v_[7] * v_[163] * 0.35 + v_[7] * 0.08 + v_[599] * v_[163] * -0.33 + v_[40] * v_[97] * 0.33 + (v_[618] * v_[97] + v_[627] * v_[163]) * -0.33 + v_[630] * v_[97] * 0.33 + v_[574] * v_[97] * 0.35) * v_[367];
+ v_[191] = 1 - v_[180] - v_[191];
+ v_[180] = sin(x_in[10]);
+ v_[367] = 0 - v_[191];
+ v_[379] = cos(x_in[10]);
+ jac[246] = 0 - (v_[87] * v_[162] + v_[0] * v_[166] + v_[361] * v_[182] + v_[173] * v_[186] + v_[191] * v_[95] * -0.33) * v_[180] + (v_[354] * v_[142] + v_[358] * v_[184] + v_[367] * v_[165] * 0.33 + (0 - v_[191]) * 0.35) * v_[379];
+ v_[316] = v_[245] + v_[316];
+ v_[245] = 0 - v_[316];
+ jac[247] = 0 - (v_[326] * v_[162] + v_[130] * v_[166] + v_[129] * v_[182] + v_[197] * v_[186] + v_[316] * v_[95] * -0.33) * v_[180] + (v_[336] * v_[142] + v_[179] * v_[184] + v_[245] * v_[165] * 0.33 + (0 - v_[316]) * 0.35) * v_[379];
+ v_[634] = v_[23] - v_[634];
+ v_[23] = 0 - v_[634];
+ jac[248] = 0 - (v_[126] * v_[162] + v_[118] * v_[166] + v_[114] * v_[182] + v_[198] * v_[186] + v_[634] * v_[95] * -0.33) * v_[180] + (v_[190] * v_[142] + v_[370] * v_[184] + v_[23] * v_[165] * 0.33 + (0 - v_[634]) * 0.35) * v_[379];
+ v_[114] = 0 - jac[561];
+ jac[465] = jac[513] * v_[89] + v_[114] * v_[244];
+ v_[114] = jac[537] * x_in[20] + v_[114] * x_in[19];
+ v_[370] = jac[513] * x_in[29];
+ v_[118] = 0 - v_[370];
+ v_[126] = jac[513] * x_in[28];
+ v_[190] = 0 - v_[126];
+ v_[186] = 0 - v_[114];
+ jac[249] = 0 - (v_[86] * v_[276] + v_[85] * v_[278] + v_[475] * v_[236] + v_[48] * v_[240] + v_[114] * v_[95] * -0.33 + v_[76] * v_[168] + v_[80] * v_[226] + v_[410] * v_[230] + v_[440] * v_[234] + v_[470] * v_[259] + v_[101] * v_[232] + v_[14] * v_[268] + v_[70] * v_[272] + v_[118] * v_[165] * 0.33 + v_[190] * v_[165] * 0.33 + (0 - v_[126]) * 0.35) * v_[180] + (v_[105] * v_[274] + v_[405] * v_[238] + v_[186] * v_[165] * 0.33 + (0 - v_[114]) * 0.35 + v_[82] * v_[176] + v_[74] * v_[168] + v_[107] * v_[228] + v_[459] * v_[232] + v_[452] * v_[261] + v_[146] * v_[265] + v_[116] * v_[181] + v_[68] * v_[270] + v_[370] * v_[95] * 0.33 + v_[126] * v_[95] * 0.33) * v_[379];
+ v_[116] = 0 - jac[562];
+ jac[466] = jac[514] * v_[89] + v_[116] * v_[244];
+ v_[116] = jac[538] * x_in[20] + v_[116] * x_in[19];
+ v_[146] = jac[514] * x_in[29];
+ v_[101] = 0 - v_[146];
+ v_[459] = jac[514] * x_in[28];
+ v_[452] = 0 - v_[459];
+ v_[470] = 0 - v_[116];
+ jac[250] = 0 - (v_[128] * v_[276] + v_[508] * v_[278] + v_[294] * v_[236] + v_[282] * v_[240] + v_[116] * v_[95] * -0.33 + v_[267] * v_[168] + v_[290] * v_[226] + v_[33] * v_[230] + v_[258] * v_[234] + v_[539] * v_[259] + v_[441] * v_[232] + v_[305] * v_[268] + v_[273] * v_[272] + v_[101] * v_[165] * 0.33 + v_[452] * v_[165] * 0.33 + (0 - v_[459]) * 0.35) * v_[180] + (v_[257] * v_[274] + v_[293] * v_[238] + v_[470] * v_[165] * 0.33 + (0 - v_[116]) * 0.35 + v_[263] * v_[176] + v_[229] * v_[168] + v_[174] * v_[228] + v_[538] * v_[232] + v_[486] * v_[261] + v_[451] * v_[265] + v_[511] * v_[181] + v_[235] * v_[270] + v_[146] * v_[95] * 0.33 + v_[459] * v_[95] * 0.33) * v_[379];
+ v_[511] = 0 - jac[563];
+ jac[467] = jac[515] * v_[89] + v_[511] * v_[244];
+ v_[511] = jac[539] * x_in[20] + v_[511] * x_in[19];
+ v_[89] = jac[515] * x_in[29];
+ v_[244] = 0 - v_[89];
+ v_[451] = jac[515] * x_in[28];
+ v_[441] = 0 - v_[451];
+ v_[538] = 0 - v_[511];
+ jac[251] = 0 - (v_[124] * v_[276] + v_[507] * v_[278] + v_[26] * v_[236] + v_[28] * v_[240] + v_[511] * v_[95] * -0.33 + v_[41] * v_[168] + v_[540] * v_[226] + v_[3] * v_[230] + v_[7] * v_[234] + v_[599] * v_[259] + v_[627] * v_[232] + v_[36] * v_[268] + v_[52] * v_[272] + v_[244] * v_[165] * 0.33 + v_[441] * v_[165] * 0.33 + (0 - v_[451]) * 0.35) * v_[180] + (v_[527] * v_[274] + v_[241] * v_[238] + v_[538] * v_[165] * 0.33 + (0 - v_[511]) * 0.35 + v_[570] * v_[176] + v_[514] * v_[168] + v_[492] * v_[228] + v_[618] * v_[232] + v_[40] * v_[261] + v_[630] * v_[265] + v_[574] * v_[181] + v_[37] * v_[270] + v_[89] * v_[95] * 0.33 + v_[451] * v_[95] * 0.33) * v_[379];
+ v_[379] = sin(x_in[11]);
+ v_[180] = cos(x_in[11]);
+ jac[270] = 0 - (v_[382] * v_[164] + v_[173] * v_[183] + v_[367] * v_[194]) * v_[379] + (v_[444] * v_[92] + v_[173] * v_[185] + v_[191] * v_[193]) * v_[180];
+ jac[271] = 0 - (v_[380] * v_[164] + v_[197] * v_[183] + v_[245] * v_[194]) * v_[379] + (v_[369] * v_[92] + v_[197] * v_[185] + v_[316] * v_[193]) * v_[180];
+ jac[272] = 0 - (v_[127] * v_[164] + v_[198] * v_[183] + v_[23] * v_[194]) * v_[379] + (v_[209] * v_[92] + v_[198] * v_[185] + v_[634] * v_[193]) * v_[180];
+ jac[273] = 0 - (v_[103] * v_[277] + v_[48] * v_[237] + v_[186] * v_[243] + v_[283] * v_[171] + v_[107] * v_[225] + v_[440] * v_[231] + v_[251] * v_[262] + v_[123] * v_[266] + v_[70] * v_[269] + v_[118] * v_[286] + v_[190] * v_[289]) * v_[379] + (v_[109] * v_[275] + v_[48] * v_[239] + v_[114] * v_[242] + v_[283] * v_[205] + v_[107] * v_[227] + v_[440] * v_[233] + v_[471] * v_[260] + v_[467] * v_[264] + v_[70] * v_[271] + v_[370] * v_[285] + v_[126] * v_[288]) * v_[180];
+ jac[274] = 0 - (v_[17] * v_[277] + v_[282] * v_[237] + v_[470] * v_[243] + v_[287] * v_[171] + v_[174] * v_[225] + v_[258] * v_[231] + v_[626] * v_[262] + v_[477] * v_[266] + v_[273] * v_[269] + v_[101] * v_[286] + v_[452] * v_[289]) * v_[379] + (v_[112] * v_[275] + v_[282] * v_[239] + v_[116] * v_[242] + v_[287] * v_[205] + v_[174] * v_[227] + v_[258] * v_[233] + v_[542] * v_[260] + v_[415] * v_[264] + v_[273] * v_[271] + v_[146] * v_[285] + v_[459] * v_[288]) * v_[180];
+ jac[275] = 0 - (v_[496] * v_[277] + v_[28] * v_[237] + v_[538] * v_[243] + v_[521] * v_[171] + v_[492] * v_[225] + v_[7] * v_[231] + v_[611] * v_[262] + v_[34] * v_[266] + v_[52] * v_[269] + v_[244] * v_[286] + v_[441] * v_[289]) * v_[379] + (v_[522] * v_[275] + v_[28] * v_[239] + v_[511] * v_[242] + v_[521] * v_[205] + v_[492] * v_[227] + v_[7] * v_[233] + v_[600] * v_[260] + v_[623] * v_[264] + v_[52] * v_[271] + v_[89] * v_[285] + v_[451] * v_[288]) * v_[180];
+ v_[180] = v_[339] * v_[356];
+ v_[379] = v_[350] * v_[357];
+ v_[538] = v_[180] + v_[379];
+ v_[441] = v_[538] * v_[252];
+ v_[451] = 0 - v_[538];
+ v_[244] = v_[451] * v_[324];
+ v_[89] = 0 - v_[538];
+ v_[511] = sin(x_in[12]);
+ v_[34] = v_[350] * v_[356];
+ v_[623] = v_[339] * v_[357];
+ v_[611] = v_[34] - v_[623];
+ v_[600] = v_[611] * v_[252];
+ v_[7] = 0 - v_[611];
+ v_[28] = v_[7] * v_[324];
+ v_[52] = 0 - v_[611];
+ v_[492] = cos(x_in[12]);
+ jac[300] = 0 - (v_[441] * v_[254] * 0.33 + v_[244] * v_[322] * 0.33 + v_[89] * v_[322] * 0.35 + (0 - v_[538]) * 0.08) * v_[511] + (v_[600] * v_[254] * 0.33 + v_[28] * v_[322] * 0.33 + v_[52] * v_[322] * 0.35 + (0 - v_[611]) * 0.08) * v_[492];
+ v_[521] = v_[339] * v_[349];
+ v_[357] = v_[368] * v_[357];
+ v_[496] = v_[521] - v_[357];
+ v_[522] = v_[496] * v_[252];
+ v_[289] = 0 - v_[496];
+ v_[288] = v_[289] * v_[324];
+ v_[286] = 0 - v_[496];
+ v_[339] = v_[339] * v_[338];
+ v_[368] = v_[368] * v_[356];
+ v_[356] = 1 - v_[339] - v_[368];
+ v_[338] = v_[356] * v_[252];
+ v_[285] = 0 - v_[356];
+ v_[277] = v_[285] * v_[324];
+ v_[275] = 0 - v_[356];
+ jac[301] = 0 - (v_[522] * v_[254] * 0.33 + v_[288] * v_[322] * 0.33 + v_[286] * v_[322] * 0.35 + (0 - v_[496]) * 0.08) * v_[511] + (v_[338] * v_[254] * 0.33 + v_[277] * v_[322] * 0.33 + v_[275] * v_[322] * 0.35 + (0 - v_[356]) * 0.08) * v_[492];
+ v_[350] = v_[350] * v_[349];
+ v_[368] = 1 - v_[350] - v_[368];
+ v_[349] = v_[368] * v_[252];
+ v_[271] = 0 - v_[368];
+ v_[269] = v_[271] * v_[324];
+ v_[266] = 0 - v_[368];
+ v_[357] = v_[521] + v_[357];
+ v_[521] = v_[357] * v_[252];
+ v_[264] = 0 - v_[357];
+ v_[262] = v_[264] * v_[324];
+ v_[260] = 0 - v_[357];
+ jac[302] = 0 - (v_[349] * v_[254] * 0.33 + v_[269] * v_[322] * 0.33 + v_[266] * v_[322] * 0.35 + (0 - v_[368]) * 0.08) * v_[511] + (v_[521] * v_[254] * 0.33 + v_[262] * v_[322] * 0.33 + v_[260] * v_[322] * 0.35 + (0 - v_[357]) * 0.08) * v_[492];
+ v_[417] = v_[418] * v_[417];
+ v_[243] = v_[443] * v_[442];
+ jac[519] = 1 - v_[417] - v_[243];
+ v_[242] = v_[443] * v_[453];
+ v_[239] = v_[418] * v_[454];
+ jac[543] = v_[242] - v_[239];
+ jac[520] = v_[242] + v_[239];
+ v_[239] = 0 - jac[543];
+ v_[242] = jac[519] * x_in[19] + v_[239] * x_in[18];
+ v_[237] = v_[242] * v_[397];
+ v_[233] = 0 - v_[242];
+ v_[231] = v_[233] * v_[324];
+ v_[227] = 0 - v_[242];
+ v_[225] = v_[418] * v_[453];
+ v_[443] = v_[443] * v_[454];
+ jac[567] = v_[225] + v_[443];
+ jac[447] = v_[239] * v_[246] + jac[567] * v_[401];
+ jac[521] = v_[225] - v_[443];
+ jac[735] = jac[567] * v_[394] + jac[543] * v_[433];
+ jac[759] = jac[567] * v_[388] + jac[543] * v_[427] + jac[519] * v_[450];
+ jac[783] = jac[567] * v_[333] + jac[543] * v_[423] + jac[519] * v_[447];
+ v_[443] = jac[567] * x_in[32];
+ v_[225] = v_[443] * v_[324];
+ v_[239] = jac[567] * x_in[31];
+ v_[171] = v_[239] * v_[252];
+ v_[205] = v_[443] * v_[252];
+ v_[470] = v_[239] * v_[324];
+ v_[452] = jac[543] * x_in[30];
+ v_[459] = v_[452] * v_[252];
+ v_[101] = 0 - v_[452];
+ v_[146] = v_[101] * v_[324];
+ v_[116] = 0 - v_[452];
+ v_[477] = 0 - jac[519];
+ jac[495] = v_[477] * v_[401] + jac[543] * v_[404];
+ v_[477] = v_[477] * x_in[20] + jac[567] * x_in[18];
+ v_[415] = v_[477] * v_[397];
+ v_[626] = 0 - v_[477];
+ v_[542] = v_[626] * v_[324];
+ v_[258] = 0 - v_[477];
+ v_[282] = jac[567] * x_in[30];
+ v_[273] = v_[282] * v_[252];
+ v_[174] = v_[282] * v_[324];
+ v_[287] = jac[543] * x_in[32];
+ v_[17] = v_[287] * v_[324];
+ v_[112] = jac[543] * x_in[31];
+ v_[186] = v_[112] * v_[252];
+ v_[190] = v_[287] * v_[252];
+ v_[126] = v_[112] * v_[324];
+ jac[303] = 0 - (v_[237] * v_[254] * 0.33 + v_[231] * v_[322] * 0.33 + v_[227] * v_[322] * 0.35 + (0 - v_[242]) * 0.08 + v_[225] * v_[254] * 0.33 + v_[171] * v_[322] * 0.33 + (v_[205] * v_[322] + v_[470] * v_[254]) * 0.33 + v_[239] * v_[254] * 0.35 + v_[459] * v_[254] * 0.33 + v_[146] * v_[322] * 0.33 + v_[116] * v_[322] * 0.35 + (0 - v_[452]) * 0.08) * v_[511] + (v_[415] * v_[254] * 0.33 + v_[542] * v_[322] * 0.33 + v_[258] * v_[322] * 0.35 + (0 - v_[477]) * 0.08 + v_[273] * v_[254] * -0.33 + v_[174] * v_[322] * 0.33 + v_[282] * v_[322] * 0.35 + v_[282] * 0.08 + v_[17] * v_[254] * 0.33 + v_[186] * v_[322] * 0.33 + (v_[190] * v_[322] + v_[126] * v_[254]) * 0.33 + v_[112] * v_[254] * 0.35) * v_[492];
+ v_[453] = v_[465] * v_[453];
+ jac[544] = 1 - v_[417] - v_[453];
+ jac[569] = 1 - v_[243] - v_[453];
+ v_[453] = 0 - jac[544];
+ v_[243] = jac[520] * x_in[19] + v_[453] * x_in[18];
+ v_[417] = v_[243] * v_[397];
+ v_[118] = 0 - v_[243];
+ v_[370] = v_[118] * v_[324];
+ v_[114] = 0 - v_[243];
+ v_[442] = v_[418] * v_[442];
+ v_[465] = v_[465] * v_[454];
+ jac[568] = v_[442] - v_[465];
+ jac[448] = v_[453] * v_[246] + jac[568] * v_[401];
+ jac[545] = v_[442] + v_[465];
+ jac[736] = jac[568] * v_[394] + jac[544] * v_[433];
+ jac[737] = jac[569] * v_[394] + jac[545] * v_[433];
+ jac[760] = jac[568] * v_[388] + jac[544] * v_[427] + jac[520] * v_[450];
+ jac[761] = jac[569] * v_[388] + jac[545] * v_[427] + jac[521] * v_[450];
+ jac[784] = jac[568] * v_[333] + jac[544] * v_[423] + jac[520] * v_[447];
+ jac[785] = jac[569] * v_[333] + jac[545] * v_[423] + jac[521] * v_[447];
+ v_[447] = jac[568] * x_in[32];
+ v_[423] = v_[447] * v_[324];
+ v_[333] = jac[568] * x_in[31];
+ v_[450] = v_[333] * v_[252];
+ v_[427] = v_[447] * v_[252];
+ v_[388] = v_[333] * v_[324];
+ v_[433] = jac[544] * x_in[30];
+ v_[394] = v_[433] * v_[252];
+ v_[465] = 0 - v_[433];
+ v_[442] = v_[465] * v_[324];
+ v_[453] = 0 - v_[433];
+ v_[454] = 0 - jac[520];
+ jac[496] = v_[454] * v_[401] + jac[544] * v_[404];
+ v_[454] = v_[454] * x_in[20] + jac[568] * x_in[18];
+ v_[418] = v_[454] * v_[397];
+ v_[123] = 0 - v_[454];
+ v_[467] = v_[123] * v_[324];
+ v_[251] = 0 - v_[454];
+ v_[471] = jac[568] * x_in[30];
+ v_[440] = v_[471] * v_[252];
+ v_[48] = v_[471] * v_[324];
+ v_[70] = jac[544] * x_in[32];
+ v_[107] = v_[70] * v_[324];
+ v_[283] = jac[544] * x_in[31];
+ v_[103] = v_[283] * v_[252];
+ v_[109] = v_[70] * v_[252];
+ v_[23] = v_[283] * v_[324];
+ jac[304] = 0 - (v_[417] * v_[254] * 0.33 + v_[370] * v_[322] * 0.33 + v_[114] * v_[322] * 0.35 + (0 - v_[243]) * 0.08 + v_[423] * v_[254] * 0.33 + v_[450] * v_[322] * 0.33 + (v_[427] * v_[322] + v_[388] * v_[254]) * 0.33 + v_[333] * v_[254] * 0.35 + v_[394] * v_[254] * 0.33 + v_[442] * v_[322] * 0.33 + v_[453] * v_[322] * 0.35 + (0 - v_[433]) * 0.08) * v_[511] + (v_[418] * v_[254] * 0.33 + v_[467] * v_[322] * 0.33 + v_[251] * v_[322] * 0.35 + (0 - v_[454]) * 0.08 + v_[440] * v_[254] * -0.33 + v_[48] * v_[322] * 0.33 + v_[471] * v_[322] * 0.35 + v_[471] * 0.08 + v_[107] * v_[254] * 0.33 + v_[103] * v_[322] * 0.33 + (v_[109] * v_[322] + v_[23] * v_[254]) * 0.33 + v_[283] * v_[254] * 0.35) * v_[492];
+ v_[634] = 0 - jac[545];
+ v_[198] = jac[521] * x_in[19] + v_[634] * x_in[18];
+ v_[127] = v_[198] * v_[397];
+ v_[209] = 0 - v_[198];
+ v_[194] = v_[209] * v_[324];
+ v_[193] = 0 - v_[198];
+ jac[449] = v_[634] * v_[246] + jac[569] * v_[401];
+ v_[634] = jac[569] * x_in[32];
+ v_[185] = v_[634] * v_[324];
+ v_[183] = jac[569] * x_in[31];
+ v_[164] = v_[183] * v_[252];
+ v_[92] = v_[634] * v_[252];
+ v_[245] = v_[183] * v_[324];
+ v_[316] = jac[545] * x_in[30];
+ v_[197] = v_[316] * v_[252];
+ v_[380] = 0 - v_[316];
+ v_[369] = v_[380] * v_[324];
+ v_[367] = 0 - v_[316];
+ v_[191] = 0 - jac[521];
+ jac[497] = v_[191] * v_[401] + jac[545] * v_[404];
+ v_[191] = v_[191] * x_in[20] + jac[569] * x_in[18];
+ v_[401] = v_[191] * v_[397];
+ v_[173] = 0 - v_[191];
+ v_[382] = v_[173] * v_[324];
+ v_[444] = 0 - v_[191];
+ v_[574] = jac[569] * x_in[30];
+ v_[630] = v_[574] * v_[252];
+ v_[627] = v_[574] * v_[324];
+ v_[618] = jac[545] * x_in[32];
+ v_[40] = v_[618] * v_[324];
+ v_[599] = jac[545] * x_in[31];
+ v_[3] = v_[599] * v_[252];
+ v_[26] = v_[618] * v_[252];
+ v_[241] = v_[599] * v_[324];
+ jac[305] = 0 - (v_[127] * v_[254] * 0.33 + v_[194] * v_[322] * 0.33 + v_[193] * v_[322] * 0.35 + (0 - v_[198]) * 0.08 + v_[185] * v_[254] * 0.33 + v_[164] * v_[322] * 0.33 + (v_[92] * v_[322] + v_[245] * v_[254]) * 0.33 + v_[183] * v_[254] * 0.35 + v_[197] * v_[254] * 0.33 + v_[369] * v_[322] * 0.33 + v_[367] * v_[322] * 0.35 + (0 - v_[316]) * 0.08) * v_[511] + (v_[401] * v_[254] * 0.33 + v_[382] * v_[322] * 0.33 + v_[444] * v_[322] * 0.35 + (0 - v_[191]) * 0.08 + v_[630] * v_[254] * -0.33 + v_[627] * v_[322] * 0.33 + v_[574] * v_[322] * 0.35 + v_[574] * 0.08 + v_[40] * v_[254] * 0.33 + v_[3] * v_[322] * 0.33 + (v_[26] * v_[322] + v_[241] * v_[254]) * 0.33 + v_[599] * v_[254] * 0.35) * v_[492];
+ v_[350] = 1 - v_[339] - v_[350];
+ v_[339] = sin(x_in[13]);
+ v_[492] = 0 - v_[350];
+ v_[511] = cos(x_in[13]);
+ jac[324] = 0 - (v_[244] * v_[321] + v_[89] * v_[325] + v_[28] * v_[343] + v_[52] * v_[345] + v_[350] * v_[252] * -0.33) * v_[339] + (v_[441] * v_[301] + v_[600] * v_[341] + v_[492] * v_[324] * 0.33 + (0 - v_[350]) * 0.35) * v_[511];
+ v_[623] = v_[34] + v_[623];
+ v_[34] = 0 - v_[623];
+ jac[325] = 0 - (v_[288] * v_[321] + v_[286] * v_[325] + v_[277] * v_[343] + v_[275] * v_[345] + v_[623] * v_[252] * -0.33) * v_[339] + (v_[522] * v_[301] + v_[338] * v_[341] + v_[34] * v_[324] * 0.33 + (0 - v_[623]) * 0.35) * v_[511];
+ v_[379] = v_[180] - v_[379];
+ v_[180] = 0 - v_[379];
+ jac[326] = 0 - (v_[269] * v_[321] + v_[266] * v_[325] + v_[262] * v_[343] + v_[260] * v_[345] + v_[379] * v_[252] * -0.33) * v_[339] + (v_[349] * v_[301] + v_[521] * v_[341] + v_[180] * v_[324] * 0.33 + (0 - v_[379]) * 0.35) * v_[511];
+ v_[260] = 0 - jac[567];
+ jac[471] = jac[519] * v_[246] + v_[260] * v_[404];
+ v_[260] = jac[543] * x_in[20] + v_[260] * x_in[19];
+ v_[262] = jac[519] * x_in[32];
+ v_[521] = 0 - v_[262];
+ v_[266] = jac[519] * x_in[31];
+ v_[269] = 0 - v_[266];
+ v_[349] = 0 - v_[260];
+ jac[327] = 0 - (v_[231] * v_[436] + v_[227] * v_[438] + v_[542] * v_[398] + v_[258] * v_[400] + v_[260] * v_[397] * -0.33 + v_[205] * v_[327] + v_[171] * v_[385] + v_[174] * v_[389] + v_[282] * v_[393] + v_[190] * v_[419] + v_[186] * v_[425] + v_[146] * v_[430] + v_[116] * v_[432] + v_[521] * v_[324] * 0.33 + v_[269] * v_[324] * 0.33 + (0 - v_[266]) * 0.35) * v_[339] + (v_[237] * v_[434] + v_[415] * v_[395] + v_[349] * v_[324] * 0.33 + (0 - v_[260]) * 0.35 + v_[225] * v_[335] + v_[470] * v_[327] + v_[239] * v_[387] + v_[273] * v_[391] + v_[17] * v_[421] + v_[126] * v_[419] + v_[112] * v_[340] + v_[459] * v_[428] + v_[262] * v_[252] * 0.33 + v_[266] * v_[252] * 0.33) * v_[511];
+ v_[126] = 0 - jac[568];
+ jac[472] = jac[520] * v_[246] + v_[126] * v_[404];
+ v_[126] = jac[544] * x_in[20] + v_[126] * x_in[19];
+ v_[190] = jac[520] * x_in[32];
+ v_[186] = 0 - v_[190];
+ v_[17] = jac[520] * x_in[31];
+ v_[174] = 0 - v_[17];
+ v_[273] = 0 - v_[126];
+ jac[328] = 0 - (v_[370] * v_[436] + v_[114] * v_[438] + v_[467] * v_[398] + v_[251] * v_[400] + v_[126] * v_[397] * -0.33 + v_[427] * v_[327] + v_[450] * v_[385] + v_[48] * v_[389] + v_[471] * v_[393] + v_[109] * v_[419] + v_[103] * v_[425] + v_[442] * v_[430] + v_[453] * v_[432] + v_[186] * v_[324] * 0.33 + v_[174] * v_[324] * 0.33 + (0 - v_[17]) * 0.35) * v_[339] + (v_[417] * v_[434] + v_[418] * v_[395] + v_[273] * v_[324] * 0.33 + (0 - v_[126]) * 0.35 + v_[423] * v_[335] + v_[388] * v_[327] + v_[333] * v_[387] + v_[440] * v_[391] + v_[107] * v_[421] + v_[23] * v_[419] + v_[283] * v_[340] + v_[394] * v_[428] + v_[190] * v_[252] * 0.33 + v_[17] * v_[252] * 0.33) * v_[511];
+ v_[23] = 0 - jac[569];
+ jac[473] = jac[521] * v_[246] + v_[23] * v_[404];
+ v_[23] = jac[545] * x_in[20] + v_[23] * x_in[19];
+ v_[246] = jac[521] * x_in[32];
+ v_[404] = 0 - v_[246];
+ v_[109] = jac[521] * x_in[31];
+ v_[103] = 0 - v_[109];
+ v_[107] = 0 - v_[23];
+ jac[329] = 0 - (v_[194] * v_[436] + v_[193] * v_[438] + v_[382] * v_[398] + v_[444] * v_[400] + v_[23] * v_[397] * -0.33 + v_[92] * v_[327] + v_[164] * v_[385] + v_[627] * v_[389] + v_[574] * v_[393] + v_[26] * v_[419] + v_[3] * v_[425] + v_[369] * v_[430] + v_[367] * v_[432] + v_[404] * v_[324] * 0.33 + v_[103] * v_[324] * 0.33 + (0 - v_[109]) * 0.35) * v_[339] + (v_[127] * v_[434] + v_[401] * v_[395] + v_[107] * v_[324] * 0.33 + (0 - v_[23]) * 0.35 + v_[185] * v_[335] + v_[245] * v_[327] + v_[183] * v_[387] + v_[630] * v_[391] + v_[40] * v_[421] + v_[241] * v_[419] + v_[599] * v_[340] + v_[197] * v_[428] + v_[246] * v_[252] * 0.33 + v_[109] * v_[252] * 0.33) * v_[511];
+ v_[511] = sin(x_in[14]);
+ v_[339] = cos(x_in[14]);
+ jac[348] = 0 - (v_[451] * v_[323] + v_[7] * v_[344] + v_[492] * v_[353]) * v_[511] + (v_[538] * v_[249] + v_[611] * v_[342] + v_[350] * v_[352]) * v_[339];
+ jac[349] = 0 - (v_[289] * v_[323] + v_[285] * v_[344] + v_[34] * v_[353]) * v_[511] + (v_[496] * v_[249] + v_[356] * v_[342] + v_[623] * v_[352]) * v_[339];
+ jac[350] = 0 - (v_[271] * v_[323] + v_[264] * v_[344] + v_[180] * v_[353]) * v_[511] + (v_[368] * v_[249] + v_[357] * v_[342] + v_[379] * v_[352]) * v_[339];
+ v_[180] = cos(x_in[14]);
+ jac[351] = (v_[242] * v_[435] + v_[477] * v_[396] + v_[260] * v_[402]) * v_[180] - (v_[233] * v_[437] + v_[626] * v_[399] + v_[349] * v_[403] + v_[443] * v_[330] + v_[239] * v_[384] + v_[282] * v_[390] + v_[287] * v_[422] + v_[112] * v_[424] + v_[101] * v_[431] + v_[521] * v_[446] + v_[269] * v_[449]) * v_[511] + (v_[443] * v_[364] + v_[239] * v_[386] + v_[282] * v_[392] + v_[287] * v_[420] + v_[112] * v_[426] + v_[452] * v_[429] + v_[262] * v_[445] + v_[266] * v_[448]) * v_[339];
+ jac[352] = (v_[243] * v_[435] + v_[454] * v_[396] + v_[126] * v_[402]) * v_[180] - (v_[118] * v_[437] + v_[123] * v_[399] + v_[273] * v_[403] + v_[447] * v_[330] + v_[333] * v_[384] + v_[471] * v_[390] + v_[70] * v_[422] + v_[283] * v_[424] + v_[465] * v_[431] + v_[186] * v_[446] + v_[174] * v_[449]) * v_[511] + (v_[447] * v_[364] + v_[333] * v_[386] + v_[471] * v_[392] + v_[70] * v_[420] + v_[283] * v_[426] + v_[433] * v_[429] + v_[190] * v_[445] + v_[17] * v_[448]) * v_[339];
+ jac[353] = (v_[198] * v_[435] + v_[191] * v_[396] + v_[23] * v_[402]) * v_[180] - (v_[209] * v_[437] + v_[173] * v_[399] + v_[107] * v_[403] + v_[634] * v_[330] + v_[183] * v_[384] + v_[574] * v_[390] + v_[618] * v_[422] + v_[599] * v_[424] + v_[380] * v_[431] + v_[404] * v_[446] + v_[103] * v_[449]) * v_[511] + (v_[634] * v_[364] + v_[183] * v_[386] + v_[574] * v_[392] + v_[618] * v_[420] + v_[599] * v_[426] + v_[316] * v_[429] + v_[246] * v_[445] + v_[109] * v_[448]) * v_[339];
+ v_[180] = v_[499] * v_[516];
+ v_[339] = v_[510] * v_[517];
+ v_[511] = v_[180] + v_[339];
+ v_[107] = v_[511] * v_[412];
+ v_[103] = 0 - v_[511];
+ v_[109] = v_[103] * v_[484];
+ v_[404] = 0 - v_[511];
+ v_[246] = sin(x_in[15]);
+ v_[23] = v_[510] * v_[516];
+ v_[599] = v_[499] * v_[517];
+ v_[618] = v_[23] - v_[599];
+ v_[574] = v_[618] * v_[412];
+ v_[173] = v_[618] * v_[484];
+ v_[191] = cos(x_in[15]);
+ jac[378] = 0 - (v_[107] * v_[414] * 0.33 + v_[109] * v_[482] * 0.33 + v_[404] * v_[482] * 0.35 + (0 - v_[511]) * 0.08) * v_[246] + (v_[574] * v_[414] * -0.33 + v_[173] * v_[482] * 0.33 + v_[618] * v_[482] * 0.35 + v_[618] * 0.08) * v_[191];
+ v_[380] = v_[499] * v_[509];
+ v_[517] = v_[528] * v_[517];
+ v_[316] = v_[380] - v_[517];
+ v_[183] = v_[316] * v_[412];
+ v_[634] = 0 - v_[316];
+ v_[209] = v_[634] * v_[484];
+ v_[198] = 0 - v_[316];
+ v_[499] = v_[499] * v_[498];
+ v_[528] = v_[528] * v_[516];
+ v_[516] = 1 - v_[499] - v_[528];
+ v_[498] = v_[516] * v_[412];
+ v_[449] = v_[516] * v_[484];
+ jac[379] = 0 - (v_[183] * v_[414] * 0.33 + v_[209] * v_[482] * 0.33 + v_[198] * v_[482] * 0.35 + (0 - v_[316]) * 0.08) * v_[246] + (v_[498] * v_[414] * -0.33 + v_[449] * v_[482] * 0.33 + v_[516] * v_[482] * 0.35 + v_[516] * 0.08) * v_[191];
+ v_[510] = v_[510] * v_[509];
+ v_[528] = 1 - v_[510] - v_[528];
+ v_[509] = v_[528] * v_[412];
+ v_[448] = 0 - v_[528];
+ v_[446] = v_[448] * v_[484];
+ v_[445] = 0 - v_[528];
+ v_[517] = v_[380] + v_[517];
+ v_[380] = v_[517] * v_[412];
+ v_[437] = v_[517] * v_[484];
+ jac[380] = 0 - (v_[509] * v_[414] * 0.33 + v_[446] * v_[482] * 0.33 + v_[445] * v_[482] * 0.35 + (0 - v_[528]) * 0.08) * v_[246] + (v_[380] * v_[414] * -0.33 + v_[437] * v_[482] * 0.33 + v_[517] * v_[482] * 0.35 + v_[517] * 0.08) * v_[191];
+ v_[576] = v_[577] * v_[576];
+ v_[435] = v_[602] * v_[601];
+ jac[525] = 1 - v_[576] - v_[435];
+ v_[431] = v_[602] * v_[612];
+ v_[429] = v_[577] * v_[613];
+ jac[549] = v_[431] - v_[429];
+ jac[526] = v_[431] + v_[429];
+ v_[429] = 0 - jac[549];
+ v_[431] = jac[525] * x_in[19] + v_[429] * x_in[18];
+ v_[426] = v_[431] * v_[412];
+ v_[424] = 0 - v_[431];
+ v_[422] = v_[424] * v_[484];
+ v_[420] = 0 - v_[431];
+ v_[403] = v_[577] * v_[612];
+ v_[602] = v_[602] * v_[613];
+ jac[573] = v_[403] + v_[602];
+ jac[453] = v_[429] * v_[406] + jac[573] * v_[560];
+ jac[527] = v_[403] - v_[602];
+ jac[813] = jac[573] * v_[554] + jac[549] * v_[592];
+ jac[837] = jac[573] * v_[548] + jac[549] * v_[586] + jac[525] * v_[609];
+ jac[861] = jac[573] * v_[493] + jac[549] * v_[582] + jac[525] * v_[606];
+ v_[602] = jac[573] * x_in[35];
+ v_[403] = v_[602] * v_[484];
+ v_[429] = jac[573] * x_in[34];
+ v_[402] = v_[429] * v_[412];
+ v_[399] = v_[602] * v_[412];
+ v_[396] = v_[429] * v_[484];
+ v_[392] = jac[549] * x_in[33];
+ v_[390] = v_[392] * v_[412];
+ v_[386] = v_[392] * v_[484];
+ v_[384] = 0 - jac[525];
+ jac[501] = v_[384] * v_[560] + jac[549] * v_[563];
+ v_[384] = v_[384] * x_in[20] + jac[573] * x_in[18];
+ v_[330] = v_[384] * v_[412];
+ v_[364] = v_[384] * v_[484];
+ v_[273] = jac[573] * x_in[33];
+ v_[174] = v_[273] * v_[484];
+ v_[17] = jac[549] * x_in[35];
+ v_[186] = v_[17] * v_[412];
+ v_[190] = 0 - v_[17];
+ v_[126] = v_[190] * v_[484];
+ v_[283] = v_[273] * v_[412];
+ v_[70] = jac[549] * x_in[34];
+ v_[471] = v_[70] * v_[412];
+ v_[123] = 0 - v_[70];
+ v_[454] = v_[123] * v_[484];
+ v_[465] = 0 - v_[70];
+ jac[381] = 0 - (v_[426] * v_[414] * 0.33 + v_[422] * v_[482] * 0.33 + v_[420] * v_[482] * 0.35 + (0 - v_[431]) * 0.08 + v_[403] * v_[414] * 0.33 + v_[402] * v_[482] * 0.33 + (v_[399] * v_[482] + v_[396] * v_[414]) * 0.33 + v_[429] * v_[414] * 0.35 + v_[390] * v_[414] * -0.33 + v_[386] * v_[482] * 0.33 + v_[392] * v_[482] * 0.35 + v_[392] * 0.08) * v_[246] + (v_[330] * v_[414] * -0.33 + v_[364] * v_[482] * 0.33 + v_[384] * v_[482] * 0.35 + v_[384] * 0.08 + v_[174] * v_[482] * 0.33 + v_[273] * v_[482] * 0.35 + v_[273] * 0.08 + v_[186] * v_[482] * -0.33 + v_[126] * v_[414] * 0.33 + (v_[283] * v_[414] + v_[471] * v_[482]) * -0.33 + v_[454] * v_[414] * 0.33 + v_[465] * v_[414] * 0.35) * v_[191];
+ v_[612] = v_[624] * v_[612];
+ jac[550] = 1 - v_[576] - v_[612];
+ jac[575] = 1 - v_[435] - v_[612];
+ v_[612] = 0 - jac[550];
+ v_[435] = jac[526] * x_in[19] + v_[612] * x_in[18];
+ v_[576] = v_[435] * v_[412];
+ v_[433] = 0 - v_[435];
+ v_[333] = v_[433] * v_[484];
+ v_[447] = 0 - v_[435];
+ v_[601] = v_[577] * v_[601];
+ v_[624] = v_[624] * v_[613];
+ jac[574] = v_[601] - v_[624];
+ jac[454] = v_[612] * v_[406] + jac[574] * v_[560];
+ jac[551] = v_[601] + v_[624];
+ jac[814] = jac[574] * v_[554] + jac[550] * v_[592];
+ jac[815] = jac[575] * v_[554] + jac[551] * v_[592];
+ jac[838] = jac[574] * v_[548] + jac[550] * v_[586] + jac[526] * v_[609];
+ jac[839] = jac[575] * v_[548] + jac[551] * v_[586] + jac[527] * v_[609];
+ jac[862] = jac[574] * v_[493] + jac[550] * v_[582] + jac[526] * v_[606];
+ jac[863] = jac[575] * v_[493] + jac[551] * v_[582] + jac[527] * v_[606];
+ v_[606] = jac[574] * x_in[35];
+ v_[582] = v_[606] * v_[484];
+ v_[493] = jac[574] * x_in[34];
+ v_[609] = v_[493] * v_[412];
+ v_[586] = v_[606] * v_[412];
+ v_[548] = v_[493] * v_[484];
+ v_[592] = jac[550] * x_in[33];
+ v_[554] = v_[592] * v_[412];
+ v_[624] = v_[592] * v_[484];
+ v_[601] = 0 - jac[526];
+ jac[502] = v_[601] * v_[560] + jac[550] * v_[563];
+ v_[601] = v_[601] * x_in[20] + jac[574] * x_in[18];
+ v_[612] = v_[601] * v_[412];
+ v_[613] = v_[601] * v_[484];
+ v_[577] = jac[574] * x_in[33];
+ v_[118] = v_[577] * v_[484];
+ v_[243] = jac[550] * x_in[35];
+ v_[349] = v_[243] * v_[412];
+ v_[269] = 0 - v_[243];
+ v_[266] = v_[269] * v_[484];
+ v_[521] = v_[577] * v_[412];
+ v_[262] = jac[550] * x_in[34];
+ v_[260] = v_[262] * v_[412];
+ v_[112] = 0 - v_[262];
+ v_[287] = v_[112] * v_[484];
+ v_[282] = 0 - v_[262];
+ jac[382] = 0 - (v_[576] * v_[414] * 0.33 + v_[333] * v_[482] * 0.33 + v_[447] * v_[482] * 0.35 + (0 - v_[435]) * 0.08 + v_[582] * v_[414] * 0.33 + v_[609] * v_[482] * 0.33 + (v_[586] * v_[482] + v_[548] * v_[414]) * 0.33 + v_[493] * v_[414] * 0.35 + v_[554] * v_[414] * -0.33 + v_[624] * v_[482] * 0.33 + v_[592] * v_[482] * 0.35 + v_[592] * 0.08) * v_[246] + (v_[612] * v_[414] * -0.33 + v_[613] * v_[482] * 0.33 + v_[601] * v_[482] * 0.35 + v_[601] * 0.08 + v_[118] * v_[482] * 0.33 + v_[577] * v_[482] * 0.35 + v_[577] * 0.08 + v_[349] * v_[482] * -0.33 + v_[266] * v_[414] * 0.33 + (v_[521] * v_[414] + v_[260] * v_[482]) * -0.33 + v_[287] * v_[414] * 0.33 + v_[282] * v_[414] * 0.35) * v_[191];
+ v_[626] = 0 - jac[551];
+ v_[477] = jac[527] * x_in[19] + v_[626] * x_in[18];
+ v_[101] = v_[477] * v_[412];
+ v_[452] = 0 - v_[477];
+ v_[239] = v_[452] * v_[484];
+ v_[443] = 0 - v_[477];
+ jac[455] = v_[626] * v_[406] + jac[575] * v_[560];
+ v_[626] = jac[575] * x_in[35];
+ v_[233] = v_[626] * v_[484];
+ v_[242] = jac[575] * x_in[34];
+ v_[379] = v_[242] * v_[412];
+ v_[264] = v_[626] * v_[412];
+ v_[357] = v_[242] * v_[484];
+ v_[271] = jac[551] * x_in[33];
+ v_[368] = v_[271] * v_[412];
+ v_[353] = v_[271] * v_[484];
+ v_[352] = 0 - jac[527];
+ jac[503] = v_[352] * v_[560] + jac[551] * v_[563];
+ v_[352] = v_[352] * x_in[20] + jac[575] * x_in[18];
+ v_[560] = v_[352] * v_[412];
+ v_[344] = v_[352] * v_[484];
+ v_[342] = jac[575] * x_in[33];
+ v_[323] = v_[342] * v_[484];
+ v_[249] = jac[551] * x_in[35];
+ v_[34] = v_[249] * v_[412];
+ v_[623] = 0 - v_[249];
+ v_[285] = v_[623] * v_[484];
+ v_[356] = v_[342] * v_[412];
+ v_[289] = jac[551] * x_in[34];
+ v_[496] = v_[289] * v_[412];
+ v_[492] = 0 - v_[289];
+ v_[350] = v_[492] * v_[484];
+ v_[7] = 0 - v_[289];
+ jac[383] = 0 - (v_[101] * v_[414] * 0.33 + v_[239] * v_[482] * 0.33 + v_[443] * v_[482] * 0.35 + (0 - v_[477]) * 0.08 + v_[233] * v_[414] * 0.33 + v_[379] * v_[482] * 0.33 + (v_[264] * v_[482] + v_[357] * v_[414]) * 0.33 + v_[242] * v_[414] * 0.35 + v_[368] * v_[414] * -0.33 + v_[353] * v_[482] * 0.33 + v_[271] * v_[482] * 0.35 + v_[271] * 0.08) * v_[246] + (v_[560] * v_[414] * -0.33 + v_[344] * v_[482] * 0.33 + v_[352] * v_[482] * 0.35 + v_[352] * 0.08 + v_[323] * v_[482] * 0.33 + v_[342] * v_[482] * 0.35 + v_[342] * 0.08 + v_[34] * v_[482] * -0.33 + v_[285] * v_[414] * 0.33 + (v_[356] * v_[414] + v_[496] * v_[482]) * -0.33 + v_[350] * v_[414] * 0.33 + v_[7] * v_[414] * 0.35) * v_[191];
+ v_[510] = 1 - v_[499] - v_[510];
+ v_[499] = sin(x_in[16]);
+ v_[191] = 0 - v_[510];
+ v_[246] = cos(x_in[16]);
+ jac[402] = 0 - (v_[109] * v_[481] + v_[404] * v_[485] + v_[173] * v_[501] + v_[618] * v_[505] + v_[510] * v_[412] * -0.33) * v_[499] + (v_[107] * v_[461] + v_[574] * v_[503] + v_[191] * v_[484] * 0.33 + (0 - v_[510]) * 0.35) * v_[246];
+ v_[599] = v_[23] + v_[599];
+ v_[23] = 0 - v_[599];
+ jac[403] = 0 - (v_[209] * v_[481] + v_[198] * v_[485] + v_[449] * v_[501] + v_[516] * v_[505] + v_[599] * v_[412] * -0.33) * v_[499] + (v_[183] * v_[461] + v_[498] * v_[503] + v_[23] * v_[484] * 0.33 + (0 - v_[599]) * 0.35) * v_[246];
+ v_[339] = v_[180] - v_[339];
+ v_[180] = 0 - v_[339];
+ jac[404] = 0 - (v_[446] * v_[481] + v_[445] * v_[485] + v_[437] * v_[501] + v_[517] * v_[505] + v_[339] * v_[412] * -0.33) * v_[499] + (v_[509] * v_[461] + v_[380] * v_[503] + v_[180] * v_[484] * 0.33 + (0 - v_[339]) * 0.35) * v_[246];
+ v_[437] = 0 - jac[573];
+ jac[477] = jac[525] * v_[406] + v_[437] * v_[563];
+ v_[437] = jac[549] * x_in[20] + v_[437] * x_in[19];
+ v_[380] = jac[525] * x_in[35];
+ v_[445] = 0 - v_[380];
+ v_[446] = jac[525] * x_in[34];
+ v_[509] = 0 - v_[446];
+ v_[505] = 0 - v_[437];
+ jac[405] = 0 - (v_[422] * v_[595] + v_[420] * v_[597] + v_[364] * v_[555] + v_[384] * v_[559] + v_[437] * v_[412] * -0.33 + v_[399] * v_[487] + v_[402] * v_[545] + v_[174] * v_[549] + v_[273] * v_[553] + v_[186] * v_[578] + v_[471] * v_[551] + v_[386] * v_[587] + v_[392] * v_[591] + v_[445] * v_[484] * 0.33 + v_[509] * v_[484] * 0.33 + (0 - v_[446]) * 0.35) * v_[499] + (v_[426] * v_[593] + v_[330] * v_[557] + v_[505] * v_[484] * 0.33 + (0 - v_[437]) * 0.35 + v_[403] * v_[495] + v_[396] * v_[487] + v_[429] * v_[547] + v_[283] * v_[551] + v_[126] * v_[580] + v_[454] * v_[584] + v_[465] * v_[500] + v_[390] * v_[589] + v_[380] * v_[412] * 0.33 + v_[446] * v_[412] * 0.33) * v_[246];
+ v_[465] = 0 - jac[574];
+ jac[478] = jac[526] * v_[406] + v_[465] * v_[563];
+ v_[465] = jac[550] * x_in[20] + v_[465] * x_in[19];
+ v_[454] = jac[526] * x_in[35];
+ v_[471] = 0 - v_[454];
+ v_[283] = jac[526] * x_in[34];
+ v_[126] = 0 - v_[283];
+ v_[186] = 0 - v_[465];
+ jac[406] = 0 - (v_[333] * v_[595] + v_[447] * v_[597] + v_[613] * v_[555] + v_[601] * v_[559] + v_[465] * v_[412] * -0.33 + v_[586] * v_[487] + v_[609] * v_[545] + v_[118] * v_[549] + v_[577] * v_[553] + v_[349] * v_[578] + v_[260] * v_[551] + v_[624] * v_[587] + v_[592] * v_[591] + v_[471] * v_[484] * 0.33 + v_[126] * v_[484] * 0.33 + (0 - v_[283]) * 0.35) * v_[499] + (v_[576] * v_[593] + v_[612] * v_[557] + v_[186] * v_[484] * 0.33 + (0 - v_[465]) * 0.35 + v_[582] * v_[495] + v_[548] * v_[487] + v_[493] * v_[547] + v_[521] * v_[551] + v_[266] * v_[580] + v_[287] * v_[584] + v_[282] * v_[500] + v_[554] * v_[589] + v_[454] * v_[412] * 0.33 + v_[283] * v_[412] * 0.33) * v_[246];
+ v_[282] = 0 - jac[575];
+ jac[479] = jac[527] * v_[406] + v_[282] * v_[563];
+ v_[282] = jac[551] * x_in[20] + v_[282] * x_in[19];
+ v_[406] = jac[527] * x_in[35];
+ v_[563] = 0 - v_[406];
+ v_[287] = jac[527] * x_in[34];
+ v_[260] = 0 - v_[287];
+ v_[521] = 0 - v_[282];
+ jac[407] = 0 - (v_[239] * v_[595] + v_[443] * v_[597] + v_[344] * v_[555] + v_[352] * v_[559] + v_[282] * v_[412] * -0.33 + v_[264] * v_[487] + v_[379] * v_[545] + v_[323] * v_[549] + v_[342] * v_[553] + v_[34] * v_[578] + v_[496] * v_[551] + v_[353] * v_[587] + v_[271] * v_[591] + v_[563] * v_[484] * 0.33 + v_[260] * v_[484] * 0.33 + (0 - v_[287]) * 0.35) * v_[499] + (v_[101] * v_[593] + v_[560] * v_[557] + v_[521] * v_[484] * 0.33 + (0 - v_[282]) * 0.35 + v_[233] * v_[495] + v_[357] * v_[487] + v_[242] * v_[547] + v_[356] * v_[551] + v_[285] * v_[580] + v_[350] * v_[584] + v_[7] * v_[500] + v_[368] * v_[589] + v_[406] * v_[412] * 0.33 + v_[287] * v_[412] * 0.33) * v_[246];
+ v_[246] = sin(x_in[17]);
+ v_[499] = cos(x_in[17]);
+ jac[426] = 0 - (v_[103] * v_[483] + v_[618] * v_[502] + v_[191] * v_[513]) * v_[246] + (v_[511] * v_[409] + v_[618] * v_[504] + v_[510] * v_[512]) * v_[499];
+ jac[427] = 0 - (v_[634] * v_[483] + v_[516] * v_[502] + v_[23] * v_[513]) * v_[246] + (v_[316] * v_[409] + v_[516] * v_[504] + v_[599] * v_[512]) * v_[499];
+ jac[428] = 0 - (v_[448] * v_[483] + v_[517] * v_[502] + v_[180] * v_[513]) * v_[246] + (v_[528] * v_[409] + v_[517] * v_[504] + v_[339] * v_[512]) * v_[499];
+ jac[429] = 0 - (v_[424] * v_[596] + v_[384] * v_[556] + v_[505] * v_[562] + v_[602] * v_[490] + v_[429] * v_[544] + v_[273] * v_[550] + v_[190] * v_[581] + v_[123] * v_[585] + v_[392] * v_[588] + v_[445] * v_[605] + v_[509] * v_[608]) * v_[246] + (v_[431] * v_[594] + v_[384] * v_[558] + v_[437] * v_[561] + v_[602] * v_[524] + v_[429] * v_[546] + v_[273] * v_[552] + v_[17] * v_[579] + v_[70] * v_[583] + v_[392] * v_[590] + v_[380] * v_[604] + v_[446] * v_[607]) * v_[499];
+ jac[430] = 0 - (v_[433] * v_[596] + v_[601] * v_[556] + v_[186] * v_[562] + v_[606] * v_[490] + v_[493] * v_[544] + v_[577] * v_[550] + v_[269] * v_[581] + v_[112] * v_[585] + v_[592] * v_[588] + v_[471] * v_[605] + v_[126] * v_[608]) * v_[246] + (v_[435] * v_[594] + v_[601] * v_[558] + v_[465] * v_[561] + v_[606] * v_[524] + v_[493] * v_[546] + v_[577] * v_[552] + v_[243] * v_[579] + v_[262] * v_[583] + v_[592] * v_[590] + v_[454] * v_[604] + v_[283] * v_[607]) * v_[499];
+ jac[431] = 0 - (v_[452] * v_[596] + v_[352] * v_[556] + v_[521] * v_[562] + v_[626] * v_[490] + v_[242] * v_[544] + v_[342] * v_[550] + v_[623] * v_[581] + v_[492] * v_[585] + v_[271] * v_[588] + v_[563] * v_[605] + v_[260] * v_[608]) * v_[246] + (v_[477] * v_[594] + v_[352] * v_[558] + v_[282] * v_[561] + v_[626] * v_[524] + v_[242] * v_[546] + v_[342] * v_[552] + v_[249] * v_[579] + v_[289] * v_[583] + v_[271] * v_[590] + v_[406] * v_[604] + v_[287] * v_[607]) * v_[499];
+ // dependent variables without operations
+ jac[72] = 1;
+ jac[78] = 1;
+ jac[84] = 1;
+ jac[90] = 1;
+ jac[97] = 1;
+ jac[103] = 1;
+ jac[109] = 1;
+ jac[115] = 1;
+ jac[122] = 1;
+ jac[128] = 1;
+ jac[134] = 1;
+ jac[140] = 1;
+
+
+ return jac_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.h b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.h
new file mode 100644
index 0000000..0787d17
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQForwardKinJacReverse.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQForwardKinJacReverse : public core::Derivatives<36, 24, double>
+{
+public:
+ typedef Eigen::Matrix<double, 24, 36> JAC_TYPE;
+ typedef Eigen::Matrix<double, 36, 1> X_TYPE;
+
+ HyQForwardKinJacReverse()
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyQForwardKinJacReverse(const HyQForwardKinJacReverse& other)
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyQForwardKinJacReverse(){};
+
+ HyQForwardKinJacReverse* clone() const override { return new HyQForwardKinJacReverse(*this); }
+ JAC_TYPE jacobian(const Eigen::VectorXd& x_in) override;
+
+private:
+ JAC_TYPE jac_;
+ std::array<double, 640> v_;
+};
+
+} /* namespace HyQ */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQForwardZero.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQForwardZero.cpp
new file mode 100644
index 0000000..76e4a41
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQForwardZero.cpp
@@ -0,0 +1,1732 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyQForwardZero.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+HyQForwardZero::OUT_TYPE HyQForwardZero::forwardZero(const Eigen::VectorXd& x_in)
+{
+ double* forwardZero = eval_.data();
+
+ v_[0] = 1 / cos(x_in[1]);
+ v_[1] = cos(x_in[2]);
+ v_[2] = 0 - v_[0];
+ v_[3] = sin(x_in[2]);
+ forwardZero[0] = v_[0] * v_[1] * x_in[18] + v_[2] * v_[3] * x_in[19];
+ forwardZero[1] = v_[3] * x_in[18] + v_[1] * x_in[19];
+ v_[4] = sin(x_in[1]);
+ forwardZero[2] = x_in[20] + v_[0] * v_[3] * v_[4] * x_in[19] + v_[2] * v_[1] * v_[4] * x_in[18];
+ v_[4] = 0.5 * x_in[0];
+ v_[3] = cos(v_[4]);
+ v_[2] = 0.5 * x_in[1];
+ v_[1] = cos(v_[2]);
+ v_[0] = v_[3] * v_[1];
+ v_[5] = 0.5 * x_in[2];
+ v_[6] = sin(v_[5]);
+ v_[4] = sin(v_[4]);
+ v_[2] = sin(v_[2]);
+ v_[7] = v_[4] * v_[2];
+ v_[5] = cos(v_[5]);
+ v_[8] = v_[0] * v_[6] + v_[7] * v_[5];
+ v_[9] = 2. * v_[8];
+ v_[1] = v_[4] * v_[1];
+ v_[2] = v_[3] * v_[2];
+ v_[10] = v_[1] * v_[5] + v_[2] * v_[6];
+ v_[11] = v_[9] * v_[10];
+ v_[2] = v_[2] * v_[5] - v_[1] * v_[6];
+ v_[1] = 2. * v_[2];
+ v_[5] = v_[0] * v_[5] - v_[7] * v_[6];
+ v_[7] = v_[1] * v_[5];
+ v_[6] = v_[1] * v_[10];
+ v_[0] = v_[9] * v_[5];
+ v_[8] = v_[9] * v_[8];
+ v_[1] = v_[1] * v_[2];
+ forwardZero[3] = (v_[11] + v_[7]) * x_in[23] + (v_[6] - v_[0]) * x_in[22] + (1 - v_[8] - v_[1]) * x_in[21];
+ v_[2] = v_[9] * v_[2];
+ v_[9] = 2. * v_[10];
+ v_[5] = v_[9] * v_[5];
+ v_[9] = v_[9] * v_[10];
+ forwardZero[4] = (v_[2] - v_[5]) * x_in[23] + (1 - v_[8] - v_[9]) * x_in[22] + (v_[6] + v_[0]) * x_in[21];
+ forwardZero[5] = (1 - v_[1] - v_[9]) * x_in[23] + (v_[2] + v_[5]) * x_in[22] + (v_[11] - v_[7]) * x_in[21];
+ v_[9] = cos(x_in[15]);
+ v_[5] = cos(x_in[16]);
+ v_[2] = cos(x_in[17]);
+ v_[1] = -8.81e-05 * v_[2];
+ v_[7] = sin(x_in[17]);
+ v_[11] = 0 - v_[7];
+ v_[8] = 8.81e-05 * v_[11];
+ v_[0] = 0.35 * v_[7];
+ v_[6] = 8.81e-05 * v_[0];
+ v_[10] = 2. * v_[6];
+ v_[12] = -0.35 * v_[2];
+ v_[13] = 0 - -8.81e-05 * v_[12];
+ v_[14] = 2. * v_[13];
+ v_[6] = 0 - v_[6];
+ v_[15] = -0.000102 + v_[10] * v_[11] + v_[14] * v_[2] - v_[2] * v_[13] - v_[7] * v_[6];
+ v_[16] = -0.00185880198235362 * v_[0] - 0.414812462825713 * v_[12];
+ v_[17] = 0.881 * v_[12];
+ v_[18] = -0.1104774 + v_[17];
+ v_[19] = v_[16] + v_[18];
+ v_[20] = 0.880992588508842 * v_[0] - -0.00185880198235362 * v_[12];
+ v_[21] = 0 - 0.881 * v_[0];
+ v_[22] = -0.0004405 + v_[21];
+ v_[23] = v_[20] + v_[22];
+ v_[18] = 0 - v_[18];
+ v_[24] = v_[2] * v_[18] + v_[11] * v_[22];
+ v_[25] = 0.47422804 + v_[19] * v_[2] + v_[23] * v_[7] + v_[24];
+ v_[20] = v_[20] * v_[0] - v_[16] * v_[12];
+ v_[16] = 0.089871 + v_[20];
+ v_[26] = v_[25] / v_[16];
+ v_[27] = v_[1] * v_[2] + v_[8] * v_[7] - v_[15] * v_[26];
+ v_[28] = sin(x_in[16]);
+ v_[29] = 0 - v_[28];
+ v_[30] = -8.81e-05 * v_[7];
+ v_[31] = 8.81e-05 * v_[2];
+ v_[6] = 2.1e-05 + v_[10] * v_[2] + v_[14] * v_[7] + v_[11] * v_[13] + v_[2] * v_[6];
+ v_[14] = v_[30] * v_[2] + v_[31] * v_[7] - v_[6] * v_[26];
+ v_[13] = v_[5] * v_[27] + v_[29] * v_[14];
+ v_[18] = v_[7] * v_[18] + v_[2] * v_[22];
+ v_[23] = -0.0825825 + v_[19] * v_[11] + v_[23] * v_[2] - v_[18];
+ v_[19] = v_[23] / v_[16];
+ v_[8] = v_[1] * v_[11] + v_[8] * v_[2] - v_[15] * v_[19];
+ v_[31] = v_[30] * v_[11] + v_[31] * v_[2] - v_[6] * v_[19];
+ v_[30] = v_[5] * v_[8] + v_[29] * v_[31];
+ v_[1] = -0.0004405 * v_[12] + v_[21] * v_[12] - -0.1104774 * v_[0];
+ v_[17] = 0.026409 + -0.2209548 * v_[12] + v_[17] * v_[12] - v_[20];
+ v_[12] = v_[7] * v_[1] + v_[2] * v_[17];
+ v_[21] = 0.000468 - -0.000881 * v_[0] - v_[21] * v_[0] - v_[20];
+ v_[1] = v_[7] * v_[21] + v_[2] * v_[1];
+ v_[22] = v_[6] / v_[16];
+ v_[10] = -0.007418 + v_[12] * v_[11] + v_[1] * v_[2] - v_[15] * v_[22];
+ v_[18] = 0.0825825 + v_[18];
+ v_[32] = 0 - v_[5];
+ v_[33] = 0.08 * v_[32];
+ v_[34] = 0.08 * v_[28];
+ v_[35] = 0 - 4.027 * v_[34];
+ v_[24] = -0.47422804 - v_[24];
+ v_[36] = v_[10] + v_[18] * v_[33] + v_[35] * v_[33] - v_[24] * v_[34];
+ v_[1] = v_[1] * v_[7] + v_[12] * v_[2];
+ v_[22] = 0.087136 + v_[20] + v_[1] - v_[6] * v_[22];
+ v_[12] = 4.027 * v_[33];
+ v_[37] = -7.4114911576828e-06 * v_[7] + -0.00185880198235362 * v_[2];
+ v_[38] = -0.00185880198235362 * v_[7] + -0.466187537174287 * v_[2];
+ v_[39] = v_[37] * v_[7] + v_[38] * v_[2];
+ v_[19] = 3.56080505133456 - v_[39] - v_[23] * v_[19];
+ v_[38] = v_[38] * v_[11] + v_[37] * v_[2] - v_[23] * v_[26];
+ v_[37] = v_[34] * v_[19] - v_[33] * v_[38];
+ v_[39] = 4.027 + v_[39] - v_[25] * v_[26];
+ v_[26] = v_[34] * v_[38] - v_[33] * v_[39];
+ v_[40] = v_[37] * v_[34] - v_[26] * v_[33];
+ v_[41] = 2. * v_[24] * v_[33] + v_[22] + v_[12] * v_[33] - v_[40];
+ v_[42] = v_[29] * v_[36] + v_[32] * v_[41];
+ v_[1] = 0.005495 + v_[17] + v_[21] + v_[20] - v_[1] - v_[15] * v_[15] / v_[16];
+ v_[21] = v_[1] - 2. * v_[18] * v_[34] - v_[35] * v_[34] - v_[40];
+ v_[36] = v_[29] * v_[21] + v_[32] * v_[36];
+ v_[17] = -0.022734 + v_[42] * v_[29] + v_[36] * v_[5];
+ v_[20] = v_[29] * v_[8] + v_[32] * v_[31];
+ v_[43] = v_[29] * v_[27] + v_[32] * v_[14];
+ v_[44] = v_[20] * v_[5] + v_[43] * v_[29];
+ v_[36] = v_[36] * v_[29] + v_[42] * v_[32];
+ v_[42] = 0.011033 + v_[40] + v_[36];
+ v_[45] = v_[44] / v_[42];
+ v_[46] = v_[13] * v_[29] + v_[30] * v_[5] - v_[17] * v_[45];
+ v_[47] = 0.207 * v_[9];
+ v_[48] = sin(x_in[15]);
+ v_[49] = 0.3735 * v_[48];
+ v_[50] = 0 - v_[9];
+ v_[51] = -0.3735 * v_[9];
+ v_[52] = v_[48] * v_[49] + v_[50] * v_[51];
+ v_[12] = v_[12] + v_[24];
+ v_[53] = 0 - v_[12];
+ v_[35] = v_[35] + v_[18];
+ v_[54] = v_[5] * v_[53] + v_[29] * v_[35];
+ v_[55] = 0.1466472 + v_[54];
+ v_[56] = v_[55] / v_[42];
+ v_[57] = 0 - v_[44] * v_[56];
+ v_[58] = v_[52] * v_[57];
+ v_[59] = v_[39] - 4.027;
+ v_[60] = v_[29] * v_[38] + v_[32] * v_[59];
+ v_[61] = v_[19] - 4.027;
+ v_[62] = v_[29] * v_[61] + v_[32] * v_[38];
+ v_[43] = v_[20] * v_[29] + v_[43] * v_[32];
+ v_[20] = v_[43] / v_[42];
+ v_[63] = v_[60] * v_[29] + v_[62] * v_[5] - v_[44] * v_[20];
+ v_[64] = v_[47] * v_[63];
+ v_[65] = v_[58] - v_[64];
+ v_[53] = v_[29] * v_[53] + v_[32] * v_[35];
+ v_[66] = -0.5824264 - v_[53] - v_[17] * v_[56];
+ v_[67] = 0.207 * v_[48];
+ v_[68] = 7.467 - v_[55] * v_[56];
+ v_[69] = 0 - v_[55] * v_[20];
+ v_[70] = v_[52] * v_[68] - v_[47] * v_[69];
+ v_[71] = v_[46] * v_[47] + v_[65] * v_[47] - v_[66] * v_[67] - v_[70] * v_[67];
+ v_[72] = v_[8] * v_[34] - v_[27] * v_[33];
+ v_[33] = v_[31] * v_[34] - v_[14] * v_[33];
+ v_[73] = 0 - v_[33];
+ v_[74] = -5.1e-05 + v_[29] * v_[72] + v_[5] * v_[73];
+ v_[56] = 0 - v_[74] * v_[56];
+ v_[75] = v_[67] * v_[69];
+ v_[58] = v_[75] - v_[58];
+ v_[12] = v_[26] + v_[12];
+ v_[35] = v_[37] + v_[35];
+ v_[53] = 0.5824264 + v_[12] * v_[29] + v_[35] * v_[5] + v_[53] - v_[74] * v_[45];
+ v_[62] = v_[62] * v_[29] + v_[60] * v_[32];
+ v_[61] = 7.467 + v_[59] + v_[61] - v_[62] - v_[44] * v_[45];
+ v_[59] = v_[67] * v_[63] - v_[52] * v_[61];
+ v_[45] = v_[56] * v_[67] + v_[58] * v_[67] - v_[53] * v_[47] - v_[59] * v_[47];
+ v_[60] = 0 - v_[9] * v_[71] - v_[48] * v_[45];
+ v_[37] = cos(x_in[12]);
+ v_[26] = 0 - v_[37];
+ v_[76] = cos(x_in[13]);
+ v_[77] = sin(x_in[14]);
+ v_[78] = 0.35 * v_[77];
+ v_[79] = cos(x_in[14]);
+ v_[80] = -0.35 * v_[79];
+ v_[81] = -0.00370574557885489 * v_[78] - 0.417781802643138 * v_[80];
+ v_[82] = 0.881 * v_[80];
+ v_[83] = -0.110125 + v_[82];
+ v_[84] = v_[81] + v_[83];
+ v_[85] = 0.880970354035369 * v_[78] - -0.00370574557885489 * v_[80];
+ v_[86] = 0 - 0.881 * v_[78];
+ v_[87] = -0.000881 + v_[86];
+ v_[88] = v_[85] + v_[87];
+ v_[83] = 0 - v_[83];
+ v_[89] = 0 - v_[77];
+ v_[90] = v_[79] * v_[83] + v_[89] * v_[87];
+ v_[91] = 0.47422804 + v_[84] * v_[79] + v_[88] * v_[77] + v_[90];
+ v_[85] = v_[85] * v_[78] - v_[81] * v_[80];
+ v_[81] = 0.089871 + v_[85];
+ v_[92] = v_[91] / v_[81];
+ v_[93] = 0 - -0.000102 * v_[92];
+ v_[94] = sin(x_in[13]);
+ v_[95] = 0 - v_[94];
+ v_[96] = 0 - 2.1e-05 * v_[92];
+ v_[97] = v_[76] * v_[93] + v_[95] * v_[96];
+ v_[83] = v_[77] * v_[83] + v_[79] * v_[87];
+ v_[88] = -0.0825825 + v_[84] * v_[89] + v_[88] * v_[79] - v_[83];
+ v_[84] = v_[88] / v_[81];
+ v_[87] = 0 - -0.000102 * v_[84];
+ v_[98] = 0 - 2.1e-05 * v_[84];
+ v_[99] = v_[76] * v_[87] + v_[95] * v_[98];
+ v_[100] = -0.000881 * v_[80] + v_[86] * v_[80] - -0.110125 * v_[78];
+ v_[82] = 0.026409 + -0.22025 * v_[80] + v_[82] * v_[80] - v_[85];
+ v_[80] = v_[77] * v_[100] + v_[79] * v_[82];
+ v_[86] = 0.000468 - -0.001762 * v_[78] - v_[86] * v_[78] - v_[85];
+ v_[100] = v_[77] * v_[86] + v_[79] * v_[100];
+ v_[101] = 2.1e-05 / v_[81];
+ v_[102] = -0.007418 + v_[80] * v_[89] + v_[100] * v_[79] - -0.000102 * v_[101];
+ v_[83] = 0.0825825 + v_[83];
+ v_[103] = -0.08 * v_[76];
+ v_[104] = -0.08 * v_[94];
+ v_[105] = -1 * v_[104];
+ v_[106] = 0 - 4.027 * v_[105];
+ v_[90] = -0.47422804 - v_[90];
+ v_[107] = v_[102] + v_[83] * v_[103] + v_[106] * v_[103] - v_[90] * v_[105];
+ v_[100] = v_[100] * v_[77] + v_[80] * v_[79];
+ v_[101] = 0.087136 + v_[85] + v_[100] - 2.1e-05 * v_[101];
+ v_[80] = 4.027 * v_[103];
+ v_[108] = -2.96459646308422e-05 * v_[77] + -0.00370574557885489 * v_[79];
+ v_[109] = -0.00370574557885489 * v_[77] + -0.463218197356862 * v_[79];
+ v_[110] = v_[108] * v_[77] + v_[109] * v_[79];
+ v_[84] = 3.56375215667851 - v_[110] - v_[88] * v_[84];
+ v_[109] = v_[109] * v_[89] + v_[108] * v_[79] - v_[88] * v_[92];
+ v_[108] = v_[105] * v_[84] - v_[103] * v_[109];
+ v_[110] = 4.027 + v_[110] - v_[91] * v_[92];
+ v_[92] = v_[105] * v_[109] - v_[103] * v_[110];
+ v_[111] = v_[108] * v_[105] - v_[92] * v_[103];
+ v_[112] = 2. * v_[90] * v_[103] + v_[101] + v_[80] * v_[103] - v_[111];
+ v_[113] = v_[94] * v_[107] + v_[76] * v_[112];
+ v_[100] = 0.005495 + v_[82] + v_[86] + v_[85] - v_[100] - -0.000102 * -0.000102 / v_[81];
+ v_[86] = v_[100] - 2. * v_[83] * v_[105] - v_[106] * v_[105] - v_[111];
+ v_[107] = v_[94] * v_[86] + v_[76] * v_[107];
+ v_[82] = 0.022734 + v_[113] * v_[95] + v_[107] * v_[76];
+ v_[85] = v_[94] * v_[87] + v_[76] * v_[98];
+ v_[114] = v_[94] * v_[93] + v_[76] * v_[96];
+ v_[115] = v_[85] * v_[76] + v_[114] * v_[95];
+ v_[107] = v_[107] * v_[94] + v_[113] * v_[76];
+ v_[113] = 0.011033 + v_[111] + v_[107];
+ v_[116] = v_[115] / v_[113];
+ v_[117] = v_[97] * v_[95] + v_[99] * v_[76] - v_[82] * v_[116];
+ v_[118] = -0.207 * v_[37];
+ v_[119] = -1 * v_[118];
+ v_[120] = sin(x_in[12]);
+ v_[121] = 0 - v_[120];
+ v_[122] = 0.3735 * v_[120];
+ v_[123] = 0.3735 * v_[37];
+ v_[124] = v_[121] * v_[122] + v_[26] * v_[123];
+ v_[80] = v_[80] + v_[90];
+ v_[125] = 0 - v_[80];
+ v_[106] = v_[106] + v_[83];
+ v_[126] = v_[76] * v_[125] + v_[95] * v_[106];
+ v_[127] = 0.1466472 + v_[126];
+ v_[128] = v_[127] / v_[113];
+ v_[129] = 0 - v_[115] * v_[128];
+ v_[130] = v_[124] * v_[129];
+ v_[131] = v_[110] - 4.027;
+ v_[132] = v_[94] * v_[109] + v_[76] * v_[131];
+ v_[133] = v_[84] - 4.027;
+ v_[134] = v_[94] * v_[133] + v_[76] * v_[109];
+ v_[114] = v_[85] * v_[94] + v_[114] * v_[76];
+ v_[85] = v_[114] / v_[113];
+ v_[135] = v_[132] * v_[95] + v_[134] * v_[76] - v_[115] * v_[85];
+ v_[136] = v_[119] * v_[135];
+ v_[137] = v_[130] - v_[136];
+ v_[125] = v_[94] * v_[125] + v_[76] * v_[106];
+ v_[138] = 0.5824264 - v_[125] - v_[82] * v_[128];
+ v_[139] = 0.207 * v_[120];
+ v_[140] = 7.467 - v_[127] * v_[128];
+ v_[141] = 0 - v_[127] * v_[85];
+ v_[142] = v_[124] * v_[140] - v_[119] * v_[141];
+ v_[143] = v_[117] * v_[119] + v_[137] * v_[119] - v_[138] * v_[139] - v_[142] * v_[139];
+ v_[144] = v_[87] * v_[105] - v_[93] * v_[103];
+ v_[105] = v_[98] * v_[105] - v_[96] * v_[103];
+ v_[103] = 0 - v_[105];
+ v_[145] = -5.1e-05 + v_[95] * v_[144] + v_[76] * v_[103];
+ v_[128] = 0 - v_[145] * v_[128];
+ v_[146] = v_[139] * v_[141];
+ v_[130] = v_[146] - v_[130];
+ v_[80] = -1 * (v_[92] + v_[80]);
+ v_[106] = -1 * (v_[108] + v_[106]);
+ v_[125] = -0.5824264 + v_[80] * v_[95] + v_[106] * v_[76] + v_[125] - v_[145] * v_[116];
+ v_[134] = v_[134] * v_[94] + v_[132] * v_[76];
+ v_[133] = 7.467 + v_[131] + v_[133] - v_[134] - v_[115] * v_[116];
+ v_[131] = v_[139] * v_[135] - v_[124] * v_[133];
+ v_[116] = v_[128] * v_[139] + v_[130] * v_[139] - v_[125] * v_[119] - v_[131] * v_[119];
+ v_[132] = 0 - v_[26] * v_[143] - v_[121] * v_[116];
+ v_[108] = cos(x_in[9]);
+ v_[92] = cos(x_in[10]);
+ v_[147] = cos(x_in[11]);
+ v_[148] = 8.81e-05 * v_[147];
+ v_[149] = sin(x_in[11]);
+ v_[150] = 0 - v_[149];
+ v_[151] = -8.81e-05 * v_[150];
+ v_[152] = 0.35 * v_[149];
+ v_[153] = -8.81e-05 * v_[152];
+ v_[154] = 2. * v_[153];
+ v_[155] = -0.35 * v_[147];
+ v_[156] = 0 - 8.81e-05 * v_[155];
+ v_[157] = 2. * v_[156];
+ v_[153] = 0 - v_[153];
+ v_[158] = 0.000102 + v_[154] * v_[150] + v_[157] * v_[147] - v_[147] * v_[156] - v_[149] * v_[153];
+ v_[159] = 0.00185880198235362 * v_[152] - 0.414812462825713 * v_[155];
+ v_[160] = 0.881 * v_[155];
+ v_[161] = -0.1104774 + v_[160];
+ v_[162] = v_[159] + v_[161];
+ v_[163] = 0.880992588508842 * v_[152] - 0.00185880198235362 * v_[155];
+ v_[164] = 0 - 0.881 * v_[152];
+ v_[165] = 0.0004405 + v_[164];
+ v_[166] = v_[163] + v_[165];
+ v_[161] = 0 - v_[161];
+ v_[167] = v_[147] * v_[161] + v_[150] * v_[165];
+ v_[168] = 0.47422804 + v_[162] * v_[147] + v_[166] * v_[149] + v_[167];
+ v_[163] = v_[163] * v_[152] - v_[159] * v_[155];
+ v_[159] = 0.089871 + v_[163];
+ v_[169] = v_[168] / v_[159];
+ v_[170] = v_[148] * v_[147] + v_[151] * v_[149] - v_[158] * v_[169];
+ v_[171] = sin(x_in[10]);
+ v_[172] = 0 - v_[171];
+ v_[173] = 8.81e-05 * v_[149];
+ v_[174] = -8.81e-05 * v_[147];
+ v_[153] = 2.1e-05 + v_[154] * v_[147] + v_[157] * v_[149] + v_[150] * v_[156] + v_[147] * v_[153];
+ v_[157] = v_[173] * v_[147] + v_[174] * v_[149] - v_[153] * v_[169];
+ v_[156] = v_[92] * v_[170] + v_[172] * v_[157];
+ v_[161] = v_[149] * v_[161] + v_[147] * v_[165];
+ v_[166] = 0.0825825 + v_[162] * v_[150] + v_[166] * v_[147] - v_[161];
+ v_[162] = v_[166] / v_[159];
+ v_[151] = v_[148] * v_[150] + v_[151] * v_[147] - v_[158] * v_[162];
+ v_[174] = v_[173] * v_[150] + v_[174] * v_[147] - v_[153] * v_[162];
+ v_[173] = v_[92] * v_[151] + v_[172] * v_[174];
+ v_[148] = 0.0004405 * v_[155] + v_[164] * v_[155] - -0.1104774 * v_[152];
+ v_[160] = 0.026409 + -0.2209548 * v_[155] + v_[160] * v_[155] - v_[163];
+ v_[155] = v_[149] * v_[148] + v_[147] * v_[160];
+ v_[164] = 0.000468 - 0.000881 * v_[152] - v_[164] * v_[152] - v_[163];
+ v_[148] = v_[149] * v_[164] + v_[147] * v_[148];
+ v_[165] = v_[153] / v_[159];
+ v_[154] = 0.007418 + v_[155] * v_[150] + v_[148] * v_[147] - v_[158] * v_[165];
+ v_[161] = -0.0825825 + v_[161];
+ v_[175] = 0 - v_[92];
+ v_[176] = 0.08 * v_[175];
+ v_[177] = 0.08 * v_[171];
+ v_[178] = 0 - 4.027 * v_[177];
+ v_[167] = -0.47422804 - v_[167];
+ v_[179] = v_[154] + v_[161] * v_[176] + v_[178] * v_[176] - v_[167] * v_[177];
+ v_[148] = v_[148] * v_[149] + v_[155] * v_[147];
+ v_[165] = 0.087136 + v_[163] + v_[148] - v_[153] * v_[165];
+ v_[155] = 4.027 * v_[176];
+ v_[180] = -7.4114911576828e-06 * v_[149] + 0.00185880198235362 * v_[147];
+ v_[181] = 0.00185880198235362 * v_[149] + -0.466187537174287 * v_[147];
+ v_[182] = v_[180] * v_[149] + v_[181] * v_[147];
+ v_[162] = 3.56080505133456 - v_[182] - v_[166] * v_[162];
+ v_[181] = v_[181] * v_[150] + v_[180] * v_[147] - v_[166] * v_[169];
+ v_[180] = v_[177] * v_[162] - v_[176] * v_[181];
+ v_[182] = 4.027 + v_[182] - v_[168] * v_[169];
+ v_[169] = v_[177] * v_[181] - v_[176] * v_[182];
+ v_[183] = v_[180] * v_[177] - v_[169] * v_[176];
+ v_[184] = 2. * v_[167] * v_[176] + v_[165] + v_[155] * v_[176] - v_[183];
+ v_[185] = v_[172] * v_[179] + v_[175] * v_[184];
+ v_[148] = 0.005495 + v_[160] + v_[164] + v_[163] - v_[148] - v_[158] * v_[158] / v_[159];
+ v_[164] = v_[148] - 2. * v_[161] * v_[177] - v_[178] * v_[177] - v_[183];
+ v_[179] = v_[172] * v_[164] + v_[175] * v_[179];
+ v_[160] = 0.022734 + v_[185] * v_[172] + v_[179] * v_[92];
+ v_[163] = v_[172] * v_[151] + v_[175] * v_[174];
+ v_[186] = v_[172] * v_[170] + v_[175] * v_[157];
+ v_[187] = v_[163] * v_[92] + v_[186] * v_[172];
+ v_[179] = v_[179] * v_[172] + v_[185] * v_[175];
+ v_[185] = 0.011033 + v_[183] + v_[179];
+ v_[188] = v_[187] / v_[185];
+ v_[189] = v_[156] * v_[172] + v_[173] * v_[92] - v_[160] * v_[188];
+ v_[190] = 0.207 * v_[108];
+ v_[191] = sin(x_in[9]);
+ v_[192] = -0.3735 * v_[191];
+ v_[193] = 0 - v_[108];
+ v_[194] = 0.3735 * v_[108];
+ v_[195] = v_[191] * v_[192] + v_[193] * v_[194];
+ v_[155] = v_[155] + v_[167];
+ v_[196] = 0 - v_[155];
+ v_[178] = v_[178] + v_[161];
+ v_[197] = v_[92] * v_[196] + v_[172] * v_[178];
+ v_[198] = 0.1466472 + v_[197];
+ v_[199] = v_[198] / v_[185];
+ v_[200] = 0 - v_[187] * v_[199];
+ v_[201] = v_[195] * v_[200];
+ v_[202] = v_[182] - 4.027;
+ v_[203] = v_[172] * v_[181] + v_[175] * v_[202];
+ v_[204] = v_[162] - 4.027;
+ v_[205] = v_[172] * v_[204] + v_[175] * v_[181];
+ v_[186] = v_[163] * v_[172] + v_[186] * v_[175];
+ v_[163] = v_[186] / v_[185];
+ v_[206] = v_[203] * v_[172] + v_[205] * v_[92] - v_[187] * v_[163];
+ v_[207] = v_[190] * v_[206];
+ v_[208] = v_[201] - v_[207];
+ v_[196] = v_[172] * v_[196] + v_[175] * v_[178];
+ v_[209] = 0.5824264 - v_[196] - v_[160] * v_[199];
+ v_[210] = 0.207 * v_[191];
+ v_[211] = 7.467 - v_[198] * v_[199];
+ v_[212] = 0 - v_[198] * v_[163];
+ v_[213] = v_[195] * v_[211] - v_[190] * v_[212];
+ v_[214] = v_[189] * v_[190] + v_[208] * v_[190] - v_[209] * v_[210] - v_[213] * v_[210];
+ v_[215] = v_[151] * v_[177] - v_[170] * v_[176];
+ v_[176] = v_[174] * v_[177] - v_[157] * v_[176];
+ v_[216] = 0 - v_[176];
+ v_[217] = -5.1e-05 + v_[172] * v_[215] + v_[92] * v_[216];
+ v_[199] = 0 - v_[217] * v_[199];
+ v_[218] = v_[210] * v_[212];
+ v_[201] = v_[218] - v_[201];
+ v_[155] = v_[169] + v_[155];
+ v_[178] = v_[180] + v_[178];
+ v_[196] = -0.5824264 + v_[155] * v_[172] + v_[178] * v_[92] + v_[196] - v_[217] * v_[188];
+ v_[205] = v_[205] * v_[172] + v_[203] * v_[175];
+ v_[204] = 7.467 + v_[202] + v_[204] - v_[205] - v_[187] * v_[188];
+ v_[202] = v_[210] * v_[206] - v_[195] * v_[204];
+ v_[188] = v_[199] * v_[210] + v_[201] * v_[210] - v_[196] * v_[190] - v_[202] * v_[190];
+ v_[203] = 0 - v_[108] * v_[214] - v_[191] * v_[188];
+ v_[180] = cos(x_in[6]);
+ v_[169] = 0 - v_[180];
+ v_[219] = cos(x_in[7]);
+ v_[220] = cos(x_in[8]);
+ v_[221] = 8.81e-05 * v_[220];
+ v_[222] = sin(x_in[8]);
+ v_[223] = 0 - v_[222];
+ v_[224] = -8.81e-05 * v_[223];
+ v_[225] = 0.35 * v_[222];
+ v_[226] = -8.81e-05 * v_[225];
+ v_[227] = 2. * v_[226];
+ v_[228] = -0.35 * v_[220];
+ v_[229] = 0 - 8.81e-05 * v_[228];
+ v_[230] = 2. * v_[229];
+ v_[226] = 0 - v_[226];
+ v_[231] = 0.000102 + v_[227] * v_[223] + v_[230] * v_[220] - v_[220] * v_[229] - v_[222] * v_[226];
+ v_[232] = 0.00185880198235362 * v_[225] - 0.414812462825713 * v_[228];
+ v_[233] = 0.881 * v_[228];
+ v_[234] = -0.1104774 + v_[233];
+ v_[235] = v_[232] + v_[234];
+ v_[236] = 0.880992588508842 * v_[225] - 0.00185880198235362 * v_[228];
+ v_[237] = 0 - 0.881 * v_[225];
+ v_[238] = 0.0004405 + v_[237];
+ v_[239] = v_[236] + v_[238];
+ v_[234] = 0 - v_[234];
+ v_[240] = v_[220] * v_[234] + v_[223] * v_[238];
+ v_[241] = 0.47422804 + v_[235] * v_[220] + v_[239] * v_[222] + v_[240];
+ v_[236] = v_[236] * v_[225] - v_[232] * v_[228];
+ v_[232] = 0.089871 + v_[236];
+ v_[242] = v_[241] / v_[232];
+ v_[243] = v_[221] * v_[220] + v_[224] * v_[222] - v_[231] * v_[242];
+ v_[244] = sin(x_in[7]);
+ v_[245] = 0 - v_[244];
+ v_[246] = 8.81e-05 * v_[222];
+ v_[247] = -8.81e-05 * v_[220];
+ v_[226] = 2.1e-05 + v_[227] * v_[220] + v_[230] * v_[222] + v_[223] * v_[229] + v_[220] * v_[226];
+ v_[230] = v_[246] * v_[220] + v_[247] * v_[222] - v_[226] * v_[242];
+ v_[229] = v_[219] * v_[243] + v_[245] * v_[230];
+ v_[234] = v_[222] * v_[234] + v_[220] * v_[238];
+ v_[239] = 0.0825825 + v_[235] * v_[223] + v_[239] * v_[220] - v_[234];
+ v_[235] = v_[239] / v_[232];
+ v_[224] = v_[221] * v_[223] + v_[224] * v_[220] - v_[231] * v_[235];
+ v_[247] = v_[246] * v_[223] + v_[247] * v_[220] - v_[226] * v_[235];
+ v_[246] = v_[219] * v_[224] + v_[245] * v_[247];
+ v_[221] = 0.0004405 * v_[228] + v_[237] * v_[228] - -0.1104774 * v_[225];
+ v_[233] = 0.026409 + -0.2209548 * v_[228] + v_[233] * v_[228] - v_[236];
+ v_[228] = v_[222] * v_[221] + v_[220] * v_[233];
+ v_[237] = 0.000468 - 0.000881 * v_[225] - v_[237] * v_[225] - v_[236];
+ v_[221] = v_[222] * v_[237] + v_[220] * v_[221];
+ v_[238] = v_[226] / v_[232];
+ v_[227] = 0.007418 + v_[228] * v_[223] + v_[221] * v_[220] - v_[231] * v_[238];
+ v_[234] = -0.0825825 + v_[234];
+ v_[248] = -0.08 * v_[219];
+ v_[249] = -0.08 * v_[244];
+ v_[250] = -1 * v_[249];
+ v_[251] = 0 - 4.027 * v_[250];
+ v_[240] = -0.47422804 - v_[240];
+ v_[252] = v_[227] + v_[234] * v_[248] + v_[251] * v_[248] - v_[240] * v_[250];
+ v_[221] = v_[221] * v_[222] + v_[228] * v_[220];
+ v_[238] = 0.087136 + v_[236] + v_[221] - v_[226] * v_[238];
+ v_[228] = 4.027 * v_[248];
+ v_[253] = -7.4114911576828e-06 * v_[222] + 0.00185880198235362 * v_[220];
+ v_[254] = 0.00185880198235362 * v_[222] + -0.466187537174287 * v_[220];
+ v_[255] = v_[253] * v_[222] + v_[254] * v_[220];
+ v_[235] = 3.56080505133456 - v_[255] - v_[239] * v_[235];
+ v_[254] = v_[254] * v_[223] + v_[253] * v_[220] - v_[239] * v_[242];
+ v_[253] = v_[250] * v_[235] - v_[248] * v_[254];
+ v_[255] = 4.027 + v_[255] - v_[241] * v_[242];
+ v_[242] = v_[250] * v_[254] - v_[248] * v_[255];
+ v_[256] = v_[253] * v_[250] - v_[242] * v_[248];
+ v_[257] = 2. * v_[240] * v_[248] + v_[238] + v_[228] * v_[248] - v_[256];
+ v_[258] = v_[244] * v_[252] + v_[219] * v_[257];
+ v_[221] = 0.005495 + v_[233] + v_[237] + v_[236] - v_[221] - v_[231] * v_[231] / v_[232];
+ v_[237] = v_[221] - 2. * v_[234] * v_[250] - v_[251] * v_[250] - v_[256];
+ v_[252] = v_[244] * v_[237] + v_[219] * v_[252];
+ v_[233] = -0.022734 + v_[258] * v_[245] + v_[252] * v_[219];
+ v_[236] = v_[244] * v_[224] + v_[219] * v_[247];
+ v_[259] = v_[244] * v_[243] + v_[219] * v_[230];
+ v_[260] = v_[236] * v_[219] + v_[259] * v_[245];
+ v_[252] = v_[252] * v_[244] + v_[258] * v_[219];
+ v_[258] = 0.011033 + v_[256] + v_[252];
+ v_[261] = v_[260] / v_[258];
+ v_[262] = v_[229] * v_[245] + v_[246] * v_[219] - v_[233] * v_[261];
+ v_[263] = -0.207 * v_[180];
+ v_[264] = -1 * v_[263];
+ v_[265] = sin(x_in[6]);
+ v_[266] = 0 - v_[265];
+ v_[267] = -0.3735 * v_[265];
+ v_[268] = -0.3735 * v_[180];
+ v_[269] = v_[266] * v_[267] + v_[169] * v_[268];
+ v_[228] = v_[228] + v_[240];
+ v_[270] = 0 - v_[228];
+ v_[251] = v_[251] + v_[234];
+ v_[271] = v_[219] * v_[270] + v_[245] * v_[251];
+ v_[272] = 0.1466472 + v_[271];
+ v_[273] = v_[272] / v_[258];
+ v_[274] = 0 - v_[260] * v_[273];
+ v_[275] = v_[269] * v_[274];
+ v_[276] = v_[255] - 4.027;
+ v_[277] = v_[244] * v_[254] + v_[219] * v_[276];
+ v_[278] = v_[235] - 4.027;
+ v_[279] = v_[244] * v_[278] + v_[219] * v_[254];
+ v_[259] = v_[236] * v_[244] + v_[259] * v_[219];
+ v_[236] = v_[259] / v_[258];
+ v_[280] = v_[277] * v_[245] + v_[279] * v_[219] - v_[260] * v_[236];
+ v_[281] = v_[264] * v_[280];
+ v_[282] = v_[275] - v_[281];
+ v_[270] = v_[244] * v_[270] + v_[219] * v_[251];
+ v_[283] = -0.5824264 - v_[270] - v_[233] * v_[273];
+ v_[284] = 0.207 * v_[265];
+ v_[285] = 7.467 - v_[272] * v_[273];
+ v_[286] = 0 - v_[272] * v_[236];
+ v_[287] = v_[269] * v_[285] - v_[264] * v_[286];
+ v_[288] = v_[262] * v_[264] + v_[282] * v_[264] - v_[283] * v_[284] - v_[287] * v_[284];
+ v_[289] = v_[224] * v_[250] - v_[243] * v_[248];
+ v_[250] = v_[247] * v_[250] - v_[230] * v_[248];
+ v_[248] = 0 - v_[250];
+ v_[290] = -5.1e-05 + v_[245] * v_[289] + v_[219] * v_[248];
+ v_[273] = 0 - v_[290] * v_[273];
+ v_[291] = v_[284] * v_[286];
+ v_[275] = v_[291] - v_[275];
+ v_[228] = -1 * (v_[242] + v_[228]);
+ v_[251] = -1 * (v_[253] + v_[251]);
+ v_[270] = 0.5824264 + v_[228] * v_[245] + v_[251] * v_[219] + v_[270] - v_[290] * v_[261];
+ v_[279] = v_[279] * v_[244] + v_[277] * v_[219];
+ v_[278] = 7.467 + v_[276] + v_[278] - v_[279] - v_[260] * v_[261];
+ v_[276] = v_[284] * v_[280] - v_[269] * v_[278];
+ v_[261] = v_[273] * v_[284] + v_[275] * v_[284] - v_[270] * v_[264] - v_[276] * v_[264];
+ v_[277] = 0 - v_[169] * v_[288] - v_[266] * v_[261];
+ v_[35] = -0.1466472 + v_[12] * v_[32] + v_[35] * v_[29] - v_[54] - v_[74] * v_[20];
+ v_[12] = v_[74] / v_[42];
+ v_[54] = 0.144171 + v_[40] - v_[74] * v_[12];
+ v_[62] = 7.467 + v_[62] - v_[43] * v_[20];
+ v_[253] = v_[67] * v_[62] - v_[52] * v_[63];
+ v_[242] = v_[47] * v_[61] - v_[67] * v_[57];
+ v_[292] = v_[47] * v_[57] - v_[67] * v_[68];
+ v_[293] = v_[242] * v_[47] - v_[292] * v_[67];
+ v_[294] = 2. * v_[35] * v_[67] + v_[54] + v_[253] * v_[67] - 2. * v_[53] * v_[52] - v_[59] * v_[52] - v_[293];
+ v_[36] = 0.134705 + v_[41] + v_[21] + v_[40] - v_[36] - v_[17] * v_[17] / v_[42];
+ v_[20] = v_[13] * v_[32] + v_[30] * v_[29] - v_[17] * v_[20];
+ v_[30] = v_[52] * v_[69] - v_[47] * v_[62];
+ v_[13] = 2. * v_[66] * v_[52] + v_[36] + v_[70] * v_[52] - 2. * v_[20] * v_[47] - v_[30] * v_[47] - v_[293];
+ v_[106] = -0.1466472 + v_[80] * v_[76] + v_[106] * v_[94] - v_[126] - v_[145] * v_[85];
+ v_[80] = v_[145] / v_[113];
+ v_[126] = 0.144171 + v_[111] - v_[145] * v_[80];
+ v_[134] = 7.467 + v_[134] - v_[114] * v_[85];
+ v_[21] = v_[139] * v_[134] - v_[124] * v_[135];
+ v_[41] = v_[119] * v_[133] - v_[139] * v_[129];
+ v_[40] = v_[119] * v_[129] - v_[139] * v_[140];
+ v_[295] = v_[41] * v_[119] - v_[40] * v_[139];
+ v_[296] = 2. * v_[106] * v_[139] + v_[126] + v_[21] * v_[139] - 2. * v_[125] * v_[124] - v_[131] * v_[124] - v_[295];
+ v_[107] = 0.134705 + v_[112] + v_[86] + v_[111] - v_[107] - v_[82] * v_[82] / v_[113];
+ v_[85] = v_[97] * v_[76] + v_[99] * v_[94] - v_[82] * v_[85];
+ v_[99] = v_[124] * v_[141] - v_[119] * v_[134];
+ v_[97] = 2. * v_[138] * v_[124] + v_[107] + v_[142] * v_[124] - 2. * v_[85] * v_[119] - v_[99] * v_[119] - v_[295];
+ v_[178] = -0.1466472 + v_[155] * v_[175] + v_[178] * v_[172] - v_[197] - v_[217] * v_[163];
+ v_[155] = v_[217] / v_[185];
+ v_[197] = 0.144171 + v_[183] - v_[217] * v_[155];
+ v_[205] = 7.467 + v_[205] - v_[186] * v_[163];
+ v_[86] = v_[210] * v_[205] - v_[195] * v_[206];
+ v_[112] = v_[190] * v_[204] - v_[210] * v_[200];
+ v_[111] = v_[190] * v_[200] - v_[210] * v_[211];
+ v_[297] = v_[112] * v_[190] - v_[111] * v_[210];
+ v_[298] = 2. * v_[178] * v_[210] + v_[197] + v_[86] * v_[210] - 2. * v_[196] * v_[195] - v_[202] * v_[195] - v_[297];
+ v_[179] = 0.134705 + v_[184] + v_[164] + v_[183] - v_[179] - v_[160] * v_[160] / v_[185];
+ v_[163] = v_[156] * v_[175] + v_[173] * v_[172] - v_[160] * v_[163];
+ v_[173] = v_[195] * v_[212] - v_[190] * v_[205];
+ v_[156] = 2. * v_[209] * v_[195] + v_[179] + v_[213] * v_[195] - 2. * v_[163] * v_[190] - v_[173] * v_[190] - v_[297];
+ v_[251] = -0.1466472 + v_[228] * v_[219] + v_[251] * v_[244] - v_[271] - v_[290] * v_[236];
+ v_[228] = v_[290] / v_[258];
+ v_[271] = 0.144171 + v_[256] - v_[290] * v_[228];
+ v_[279] = 7.467 + v_[279] - v_[259] * v_[236];
+ v_[164] = v_[284] * v_[279] - v_[269] * v_[280];
+ v_[184] = v_[264] * v_[278] - v_[284] * v_[274];
+ v_[183] = v_[264] * v_[274] - v_[284] * v_[285];
+ v_[299] = v_[184] * v_[264] - v_[183] * v_[284];
+ v_[300] = 2. * v_[251] * v_[284] + v_[271] + v_[164] * v_[284] - 2. * v_[270] * v_[269] - v_[276] * v_[269] - v_[299];
+ v_[252] = 0.134705 + v_[257] + v_[237] + v_[256] - v_[252] - v_[233] * v_[233] / v_[258];
+ v_[236] = v_[229] * v_[219] + v_[246] * v_[244] - v_[233] * v_[236];
+ v_[246] = v_[269] * v_[286] - v_[264] * v_[279];
+ v_[229] = 2. * v_[283] * v_[269] + v_[252] + v_[287] * v_[269] - 2. * v_[236] * v_[264] - v_[246] * v_[264] - v_[299];
+ v_[12] = -3.6e-05 + 2. * v_[33] * v_[29] + 2. * v_[72] * v_[5] + v_[32] * v_[72] + v_[29] * v_[73] - v_[17] * v_[12];
+ v_[67] = v_[56] * v_[52] + v_[12] + v_[20] * v_[67] + v_[30] * v_[67] - v_[46] * v_[52] - v_[35] * v_[47] - v_[65] * v_[52];
+ v_[52] = v_[48] * v_[67];
+ v_[73] = (v_[48] * v_[13] + v_[9] * v_[67]) * v_[48] + (v_[52] + v_[9] * v_[294]) * v_[9];
+ v_[52] = v_[50] * v_[13] + v_[52];
+ v_[67] = v_[50] * v_[67] + v_[48] * v_[294];
+ v_[33] = v_[52] * v_[50] + v_[67] * v_[48];
+ v_[80] = 3.6e-05 + -1 * 2. * v_[105] * v_[95] + -1 * 2. * v_[144] * v_[76] + v_[76] * v_[144] + v_[94] * v_[103] - v_[82] * v_[80];
+ v_[139] = v_[128] * v_[124] + v_[80] + v_[85] * v_[139] + v_[99] * v_[139] - v_[117] * v_[124] - v_[106] * v_[119] - v_[137] * v_[124];
+ v_[124] = v_[26] * v_[139];
+ v_[119] = (v_[121] * v_[97] + v_[124]) * v_[121] + (v_[121] * v_[139] + v_[26] * v_[296]) * v_[26];
+ v_[139] = v_[26] * v_[97] + v_[120] * v_[139];
+ v_[124] = v_[124] + v_[120] * v_[296];
+ v_[103] = v_[139] * v_[26] + v_[124] * v_[120];
+ v_[155] = 3.6e-05 + 2. * v_[176] * v_[172] + 2. * v_[215] * v_[92] + v_[175] * v_[215] + v_[172] * v_[216] - v_[160] * v_[155];
+ v_[210] = v_[199] * v_[195] + v_[155] + v_[163] * v_[210] + v_[173] * v_[210] - v_[189] * v_[195] - v_[178] * v_[190] - v_[208] * v_[195];
+ v_[195] = v_[191] * v_[210];
+ v_[216] = (v_[191] * v_[156] + v_[108] * v_[210]) * v_[191] + (v_[195] + v_[108] * v_[298]) * v_[108];
+ v_[195] = v_[193] * v_[156] + v_[195];
+ v_[210] = v_[193] * v_[210] + v_[191] * v_[298];
+ v_[176] = v_[195] * v_[193] + v_[210] * v_[191];
+ v_[228] = -3.6e-05 + -1 * 2. * v_[250] * v_[245] + -1 * 2. * v_[289] * v_[219] + v_[219] * v_[289] + v_[244] * v_[248] - v_[233] * v_[228];
+ v_[284] = v_[273] * v_[269] + v_[228] + v_[236] * v_[284] + v_[246] * v_[284] - v_[262] * v_[269] - v_[251] * v_[264] - v_[282] * v_[269];
+ v_[269] = v_[169] * v_[284];
+ v_[264] = (v_[266] * v_[229] + v_[269]) * v_[266] + (v_[266] * v_[284] + v_[169] * v_[300]) * v_[169];
+ v_[284] = v_[169] * v_[229] + v_[265] * v_[284];
+ v_[269] = v_[269] + v_[265] * v_[300];
+ v_[248] = v_[284] * v_[169] + v_[269] * v_[265];
+ v_[229] = 1.209488 + v_[294] + v_[13] + v_[293] + v_[296] + v_[97] + v_[295] + v_[298] + v_[156] + v_[297] + v_[300] + v_[229] + v_[299] - v_[73] - v_[33] - v_[119] - v_[103] - v_[216] - v_[176] - v_[264] - v_[248];
+ v_[300] = (0.190812 + v_[60] + v_[132] + v_[203] + v_[277]) / v_[229];
+ v_[156] = x_in[20] * x_in[21];
+ v_[298] = x_in[18] * x_in[23];
+ v_[97] = x_in[18] * x_in[19];
+ v_[296] = x_in[18] * x_in[20];
+ v_[13] = v_[9] * x_in[19] + v_[48] * x_in[20];
+ v_[294] = 0.207 * x_in[20] + x_in[21];
+ v_[250] = x_in[18] + x_in[33];
+ v_[289] = -0.207 * v_[48];
+ v_[215] = v_[51] * x_in[20] + v_[49] * x_in[19] + v_[289] * x_in[18] + v_[48] * x_in[23] + v_[9] * x_in[22];
+ v_[105] = v_[13] * v_[294] - v_[250] * v_[215];
+ v_[144] = v_[13] * v_[250];
+ v_[72] = v_[250] * v_[250];
+ v_[237] = v_[48] * x_in[19] + v_[50] * x_in[20];
+ v_[257] = v_[237] * v_[237];
+ v_[256] = v_[13] + x_in[34];
+ v_[301] = 0 - v_[28];
+ v_[302] = -0.3735 * v_[48];
+ v_[303] = -0.3735 * v_[9];
+ v_[304] = 0 - v_[9];
+ v_[305] = v_[302] * x_in[20] + v_[303] * x_in[19] + v_[47] * x_in[18] + v_[304] * x_in[23] + v_[48] * x_in[22];
+ v_[306] = v_[301] * v_[294] + v_[5] * v_[305] + v_[34] * v_[13];
+ v_[307] = v_[256] * v_[306];
+ v_[308] = v_[5] * v_[237] + v_[29] * v_[250];
+ v_[309] = 0.08 * v_[250] + v_[215];
+ v_[310] = v_[308] * v_[309];
+ v_[311] = v_[29] * v_[237] + v_[32] * v_[250];
+ v_[312] = v_[308] * v_[311];
+ v_[313] = v_[308] * v_[256];
+ v_[314] = v_[256] + x_in[35];
+ v_[315] = 0 - v_[5];
+ v_[316] = 0 - v_[28];
+ v_[317] = 0.08 * v_[5];
+ v_[318] = v_[315] * v_[294] + v_[316] * v_[305] + v_[317] * v_[13];
+ v_[319] = v_[7] * v_[318] + v_[2] * v_[306] + v_[0] * v_[256];
+ v_[320] = v_[314] * v_[319];
+ v_[321] = v_[2] * v_[308] + v_[7] * v_[311];
+ v_[322] = -0.35 * v_[311] + v_[309];
+ v_[323] = v_[321] * v_[322];
+ v_[324] = v_[11] * v_[308] + v_[2] * v_[311];
+ v_[325] = v_[321] * v_[324];
+ v_[326] = -0.3735 + -0.33 * v_[5] * v_[7] - 0.33 * v_[28] * v_[2] - 0.35 * v_[28];
+ v_[327] = 0.5 * x_in[0];
+ v_[328] = cos(v_[327]);
+ v_[329] = 0.5 * x_in[1];
+ v_[330] = cos(v_[329]);
+ v_[331] = v_[328] * v_[330];
+ v_[332] = 0.5 * x_in[2];
+ v_[333] = sin(v_[332]);
+ v_[327] = sin(v_[327]);
+ v_[329] = sin(v_[329]);
+ v_[334] = v_[327] * v_[329];
+ v_[332] = cos(v_[332]);
+ v_[335] = v_[331] * v_[333] + v_[334] * v_[332];
+ v_[336] = 2. * v_[335];
+ v_[329] = v_[328] * v_[329];
+ v_[327] = v_[327] * v_[330];
+ v_[330] = v_[329] * v_[332] - v_[327] * v_[333];
+ v_[328] = v_[336] * v_[330];
+ v_[327] = v_[327] * v_[332] + v_[329] * v_[333];
+ v_[329] = 2. * v_[327];
+ v_[332] = v_[331] * v_[332] - v_[334] * v_[333];
+ v_[334] = v_[329] * v_[332];
+ v_[333] = 0.5 * x_in[0];
+ v_[331] = cos(v_[333]);
+ v_[337] = 0.5 * x_in[1];
+ v_[338] = sin(v_[337]);
+ v_[339] = v_[331] * v_[338];
+ v_[340] = 0.5 * x_in[2];
+ v_[341] = cos(v_[340]);
+ v_[333] = sin(v_[333]);
+ v_[337] = cos(v_[337]);
+ v_[342] = v_[333] * v_[337];
+ v_[340] = sin(v_[340]);
+ v_[343] = v_[339] * v_[341] - v_[342] * v_[340];
+ v_[344] = 2. * v_[343];
+ v_[345] = v_[344] * v_[343];
+ v_[342] = v_[342] * v_[341] + v_[339] * v_[340];
+ v_[339] = 2. * v_[342];
+ v_[346] = v_[339] * v_[342];
+ v_[347] = cos(x_in[15]);
+ v_[348] = 0.33 * v_[347];
+ v_[349] = sin(x_in[15]);
+ v_[350] = -0.33 * v_[349];
+ v_[351] = -0.207 + 0.33 * v_[349] * v_[5] * v_[2] + -0.33 * v_[349] * v_[28] * v_[7] + 0.35 * v_[349] * v_[5] + 0.08 * v_[349];
+ v_[352] = -0.3735 + -0.33 * v_[5] * v_[7] - 0.33 * v_[28] * v_[2] - 0.35 * v_[28];
+ v_[348] = (v_[348] * v_[5] * v_[7] + 0.33 * v_[347] * v_[28] * v_[2]) * x_in[35] + (v_[348] * v_[28] * v_[2] + 0.33 * v_[347] * v_[5] * v_[7] + 0.35 * v_[347] * v_[28]) * x_in[34] + (0.33 * v_[349] * v_[5] * v_[2] + v_[350] * v_[28] * v_[7] + 0.35 * v_[349] * v_[5] + 0.08 * v_[349]) * x_in[33] + x_in[23] + x_in[18] * v_[351] - x_in[19] * v_[352];
+ v_[337] = v_[331] * v_[337];
+ v_[333] = v_[333] * v_[338];
+ v_[338] = v_[337] * v_[340] + v_[333] * v_[341];
+ v_[331] = 2. * v_[338];
+ v_[343] = v_[331] * v_[343];
+ v_[333] = v_[337] * v_[341] - v_[333] * v_[340];
+ v_[339] = v_[339] * v_[333];
+ v_[337] = 0.33 * v_[347] * v_[28] * v_[7] - 0.33 * v_[347] * v_[5] * v_[2] - 0.35 * v_[347] * v_[5] - 0.08 * v_[347];
+ v_[352] = (-0.33 * v_[349] * v_[5] * v_[7] - 0.33 * v_[349] * v_[28] * v_[2]) * x_in[35] + (v_[350] * v_[5] * v_[7] - 0.33 * v_[349] * v_[28] * v_[2] - 0.35 * v_[349] * v_[28]) * x_in[34] + (0.33 * v_[347] * v_[5] * v_[2] + -0.33 * v_[347] * v_[28] * v_[7] + 0.35 * v_[347] * v_[5] + 0.08 * v_[347]) * x_in[33] + x_in[22] + x_in[20] * v_[352] - x_in[18] * v_[337];
+ v_[350] = v_[331] * v_[342];
+ v_[340] = v_[344] * v_[333];
+ v_[337] = (0.33 * v_[28] * v_[7] - 0.33 * v_[5] * v_[2]) * x_in[35] + (0.33 * v_[28] * v_[7] - 0.33 * v_[5] * v_[2] - 0.35 * v_[5]) * x_in[34] + x_in[21] + x_in[19] * v_[337] - x_in[20] * v_[351];
+ v_[351] = 0.5 * x_in[0];
+ v_[341] = cos(v_[351]);
+ v_[353] = 0.5 * x_in[1];
+ v_[354] = sin(v_[353]);
+ v_[355] = v_[341] * v_[354];
+ v_[356] = 0.5 * x_in[2];
+ v_[357] = cos(v_[356]);
+ v_[351] = sin(v_[351]);
+ v_[353] = cos(v_[353]);
+ v_[358] = v_[351] * v_[353];
+ v_[356] = sin(v_[356]);
+ v_[359] = v_[355] * v_[357] - v_[358] * v_[356];
+ v_[360] = 2. * v_[359];
+ v_[358] = v_[358] * v_[357] + v_[355] * v_[356];
+ v_[355] = 2. * v_[358];
+ v_[353] = v_[341] * v_[353];
+ v_[354] = v_[351] * v_[354];
+ v_[361] = 2. * (v_[353] * v_[356] + v_[354] * v_[357]);
+ v_[354] = v_[353] * v_[357] - v_[354] * v_[356];
+ v_[354] = (1 - v_[360] * v_[359] - v_[355] * v_[358]) * (0.33 * v_[347] * v_[28] * v_[7] - 0.33 * v_[347] * v_[5] * v_[2] - 0.35 * v_[347] * v_[5] - 0.08 * v_[347]) + (v_[361] * v_[359] + v_[355] * v_[354]) * (-0.207 + 0.33 * v_[349] * v_[5] * v_[2] + -0.33 * v_[349] * v_[28] * v_[7] + 0.35 * v_[349] * v_[5] + 0.08 * v_[349]) + (v_[361] * v_[358] - v_[360] * v_[354]) * (-0.3735 + -0.33 * v_[5] * v_[7] - 0.33 * v_[28] * v_[2] - 0.35 * v_[28]) + x_in[5];
+ v_[361] = 1 / (1 + exp(100. * v_[354]));
+ v_[354] = -1000. * ((1 - v_[345] - v_[346]) * v_[348] + (v_[343] + v_[339]) * v_[352] + (v_[350] - v_[340]) * v_[337]) * v_[361] + 5000. * exp(-100. * (v_[354] + 0.02));
+ v_[335] = v_[336] * v_[335];
+ v_[329] = v_[329] * v_[327];
+ v_[338] = v_[331] * v_[338];
+ v_[342] = v_[344] * v_[342];
+ v_[333] = v_[331] * v_[333];
+ v_[339] = -1000. * ((v_[343] - v_[339]) * v_[348] + (1 - v_[338] - v_[346]) * v_[352] + (v_[342] + v_[333]) * v_[337]) * v_[361];
+ v_[343] = 2. * v_[330];
+ v_[346] = v_[343] * v_[327];
+ v_[331] = v_[336] * v_[332];
+ v_[333] = -1000. * ((v_[350] + v_[340]) * v_[348] + (v_[342] - v_[333]) * v_[352] + (1 - v_[338] - v_[345]) * v_[337]) * v_[361];
+ v_[342] = (v_[328] + v_[334]) * v_[354] + (1 - v_[335] - v_[329]) * v_[339] + (v_[346] - v_[331]) * v_[333];
+ v_[338] = -0.207 + 0.33 * v_[48] * v_[5] * v_[2] + -0.33 * v_[48] * v_[28] * v_[7] + 0.35 * v_[48] * v_[5] + 0.08 * v_[48];
+ v_[327] = v_[336] * v_[327];
+ v_[332] = v_[343] * v_[332];
+ v_[343] = v_[343] * v_[330];
+ v_[331] = (v_[327] - v_[332]) * v_[354] + (v_[346] + v_[331]) * v_[339] + (1 - v_[335] - v_[343]) * v_[333];
+ v_[346] = v_[326] * v_[342] - v_[338] * v_[331];
+ v_[335] = 0.33 * v_[9] * v_[28] * v_[7] - 0.33 * v_[9] * v_[5] * v_[2] - 0.35 * v_[9] * v_[5] - 0.08 * v_[9];
+ v_[343] = (1 - v_[343] - v_[329]) * v_[354] + (v_[328] - v_[334]) * v_[339] + (v_[327] + v_[332]) * v_[333];
+ v_[326] = v_[335] * v_[331] - v_[326] * v_[343];
+ v_[332] = 0 - v_[7];
+ v_[327] = 0.35 * v_[2];
+ v_[333] = v_[2] * v_[318] + v_[332] * v_[306] + v_[327] * v_[256];
+ v_[322] = v_[324] * v_[322] - v_[314] * v_[333];
+ v_[339] = 0.1104774 * (v_[320] - v_[323]) + 0.025941 * v_[325] - v_[48] * v_[346] - v_[9] * v_[326] - (-0.35 * v_[9] * v_[28] - 0.3735 * v_[9]) * v_[343] - (0.35 * v_[48] * v_[28] + 0.3735 * v_[48]) * v_[342] - (0.08 + 0.35 * v_[5] - 0.207 * v_[48]) * v_[331] - -0.0004405 * v_[322];
+ v_[329] = x_in[47] - v_[339];
+ v_[354] = v_[324] * v_[314];
+ v_[334] = (0 - v_[319]) * x_in[35];
+ v_[328] = v_[333] * x_in[35];
+ v_[330] = v_[324] * x_in[35];
+ v_[336] = v_[9] * v_[5];
+ v_[361] = v_[9] * v_[28];
+ v_[337] = v_[336] * v_[7] + v_[361] * v_[2];
+ v_[340] = v_[48] * v_[28];
+ v_[350] = v_[340] * v_[2];
+ v_[352] = v_[28] * v_[7] - v_[5] * v_[2];
+ v_[348] = v_[314] * v_[314];
+ v_[345] = v_[321] * v_[321];
+ v_[344] = -0.881 * (v_[323] - v_[320]) + 0.1104774 * v_[325] + 8.81e-05 * v_[354] + 0.414812462825713 * v_[334] + -0.00185880198235362 * v_[328] + -8.81e-05 * v_[330] + (0.1104774 * v_[329]) / 0.026181 - v_[337] * v_[343] - ((0 - v_[48]) * v_[5] * v_[7] - v_[350]) * v_[342] - v_[352] * v_[331] - -0.0004405 * (v_[348] + v_[345]);
+ v_[314] = v_[321] * v_[314];
+ v_[355] = (0 - v_[321]) * x_in[35];
+ v_[361] = v_[361] * v_[7] - v_[336] * v_[2];
+ v_[340] = v_[48] * v_[5] * v_[2] - v_[340] * v_[7];
+ v_[336] = v_[28] * v_[2];
+ v_[358] = v_[324] * v_[324];
+ v_[348] = 0.881 * v_[322] + 8.81e-05 * v_[314] + -0.0004405 * v_[325] + -0.00185880198235362 * v_[334] + 0.880992588508842 * v_[328] + 8.81e-05 * v_[355] + (0.0004405 * v_[329]) / 0.026181 - v_[361] * v_[343] - v_[340] * v_[342] - ((0 - v_[5]) * v_[7] - v_[336]) * v_[331] - 0.1104774 * (v_[348] + v_[358]);
+ v_[309] = v_[311] * v_[309] - v_[256] * v_[318];
+ v_[325] = v_[311] * v_[256];
+ v_[360] = v_[311] * v_[311];
+ v_[359] = v_[308] * v_[308];
+ v_[339] = 0.47422804 * (v_[307] - v_[310]) + 0.081641 * v_[312] + 2.1e-05 * v_[313] + (0.026181 * v_[329]) / 0.026181 + v_[339] + v_[327] * v_[344] + v_[0] * v_[348] - 0.0825825 * v_[309] - -0.000102 * v_[325] - -0.007418 * (v_[360] - v_[359]);
+ v_[349] = x_in[46] - v_[339];
+ v_[347] = (0 - v_[308]) * x_in[34];
+ v_[353] = v_[311] * x_in[34];
+ v_[356] = (0 - v_[306]) * x_in[34];
+ v_[357] = v_[318] * x_in[34];
+ v_[256] = v_[256] * v_[256];
+ v_[310] = -3.146 * (v_[310] - v_[307]) + 0.47422804 * v_[312] + v_[2] * v_[344] + v_[7] * v_[348] + v_[14] * v_[347] + v_[27] * v_[353] + v_[39] * v_[356] + v_[38] * v_[357] + (v_[25] * v_[349]) / v_[16] - 0.0825825 * (v_[256] + v_[359]);
+ v_[309] = 3.146 * v_[309] + 0.0825825 * v_[312] + v_[332] * v_[344] + v_[2] * v_[348] + v_[31] * v_[347] + v_[8] * v_[353] + v_[38] * v_[356] + v_[19] * v_[357] + (v_[23] * v_[349]) / v_[16] - 0.47422804 * (v_[256] + v_[360]);
+ v_[348] = (0 - v_[237]) * x_in[33];
+ v_[344] = v_[13] * x_in[33];
+ v_[38] = (0 - v_[305]) * x_in[33];
+ v_[19] = v_[215] * x_in[33];
+ v_[307] = v_[237] * v_[13];
+ v_[39] = v_[250] * v_[305];
+ v_[294] = v_[237] * v_[294];
+ v_[250] = v_[237] * v_[250];
+ v_[335] = v_[338] * v_[343] - v_[335] * v_[342];
+ v_[333] = v_[321] * v_[333] - v_[324] * v_[319];
+ v_[352] = 8.81e-05 * v_[322] + 8.81e-05 * v_[328] + 0.026409 * v_[355] - v_[337] * v_[346] - ((0 - v_[48]) * v_[5] * v_[7] - v_[350]) * v_[326] - v_[352] * v_[335] - (((0.207 - 0.08 * v_[48]) * v_[28] + 0.3735 * v_[48] * v_[5]) * v_[7] + ((0.08 * v_[48] - 0.207) * v_[5] + 0.3735 * v_[48] * v_[28] + 0.35 * v_[48]) * v_[2]) * v_[343] - ((0.3735 * v_[9] * v_[5] - 0.08 * v_[9] * v_[28]) * v_[7] + (0.08 * v_[9] * v_[5] + 0.3735 * v_[9] * v_[28] + 0.35 * v_[9]) * v_[2]) * v_[342] - (-0.207 * v_[9] * v_[5] * v_[7] - 0.207 * v_[9] * v_[28] * v_[2]) * v_[331] - 0.1104774 * v_[333] - 0.025713 * v_[314];
+ v_[335] = -0.0004405 * v_[333] + 8.81e-05 * (v_[323] - v_[320]) + -0.000227999999999999 * v_[354] + -8.81e-05 * v_[334] + 0.000468 * v_[330] - v_[361] * v_[346] - v_[340] * v_[326] - ((0 - v_[5]) * v_[7] - v_[336]) * v_[335] - (((0.08 * v_[48] - 0.207) * v_[5] + 0.3735 * v_[48] * v_[28] + 0.35 * v_[48]) * v_[7] + ((0.08 * v_[48] - 0.207) * v_[28] - 0.3735 * v_[48] * v_[5]) * v_[2]) * v_[343] - ((0.08 * v_[9] * v_[5] + 0.3735 * v_[9] * v_[28] + 0.35 * v_[9]) * v_[7] + (0.08 * v_[9] * v_[28] - 0.3735 * v_[9] * v_[5]) * v_[2]) * v_[342] - (0.207 * v_[9] * v_[5] * v_[2] - 0.207 * v_[9] * v_[28] * v_[7]) * v_[331];
+ v_[333] = 0.881 * v_[333] + 0.1104774 * v_[314] + -0.0004405 * v_[354] + -0.1104774 * v_[355] + -0.0004405 * v_[330] - v_[48] * v_[343] - v_[9] * v_[342] - 8.81e-05 * (v_[358] + v_[345]);
+ v_[318] = v_[308] * v_[318] - v_[311] * v_[306];
+ v_[359] = -0.007418 * v_[325] + -0.000102 * (v_[256] - v_[359]) + v_[2] * v_[352] + v_[7] * v_[335] + -0.35 * v_[333] + v_[22] * v_[347] + v_[10] * v_[353] + v_[14] * v_[356] + v_[31] * v_[357] + (v_[6] * v_[349]) / v_[16] - 0.47422804 * v_[318] - 0.084376 * v_[313] - 2.1e-05 * v_[312];
+ v_[335] = 0.002735 * v_[325] + 0.0825825 * v_[318] + -0.000102 * v_[312] + v_[11] * v_[352] + v_[2] * v_[335] + v_[10] * v_[347] + v_[1] * v_[353] + v_[27] * v_[356] + v_[8] * v_[357] + (v_[15] * v_[349]) / v_[16] - -0.007418 * v_[313] - 2.1e-05 * (v_[256] - v_[360]);
+ v_[318] = 0.47422804 * v_[313] + 3.146 * v_[318] + 0.0825825 * v_[325] + v_[333] + v_[24] * v_[347] + v_[18] * v_[353];
+ v_[333] = v_[13] * v_[13];
+ v_[325] = 0.009466 * v_[307] + 0.1466472 * (v_[39] - v_[294]) + -5.1e-05 * v_[250] + v_[32] * v_[359] + v_[29] * v_[335] + 0.08 * v_[318] - -0.022734 * v_[144] - -3.6e-05 * (v_[333] - v_[257]);
+ v_[313] = x_in[45] - v_[325];
+ v_[305] = v_[237] * v_[215] - v_[13] * v_[305];
+ v_[339] = 0.5824264 * v_[105] + -3.6e-05 * v_[144] + -0.022734 * (v_[72] - v_[257]) + (v_[16] * v_[349]) / v_[16] + v_[339] + v_[317] * v_[310] + v_[34] * v_[309] + v_[54] * v_[348] + v_[12] * v_[344] + v_[56] * v_[38] + v_[53] * v_[19] + (v_[74] * v_[313]) / v_[42] - 0.1466472 * v_[305] - -0.123672 * v_[250] - -5.1e-05 * v_[307];
+ v_[335] = -0.133138 * v_[144] + 0.5824264 * (v_[294] - v_[39]) + -0.022734 * v_[307] + v_[29] * v_[359] + v_[5] * v_[335] + v_[12] * v_[348] + v_[36] * v_[344] + v_[66] * v_[38] + v_[46] * v_[19] + (v_[17] * v_[313]) / v_[42] - -3.6e-05 * v_[250] - -5.1e-05 * (v_[72] - v_[333]);
+ v_[305] = 3.44 * v_[305] + 0.1466472 * v_[250] + v_[315] * v_[310] + v_[301] * v_[309] + v_[35] * v_[348] + v_[20] * v_[344] + v_[69] * v_[38] + v_[63] * v_[19] + (v_[43] * v_[313]) / v_[42] - 0.5824264 * (v_[333] + v_[257]);
+ v_[318] = 0.1466472 * v_[307] + -3.44 * (v_[294] - v_[39]) + 0.5824264 * v_[144] + v_[318] + v_[56] * v_[348] + v_[66] * v_[344] + v_[68] * v_[38] + v_[57] * v_[19] + (v_[55] * v_[313]) / v_[42];
+ v_[333] = 3.44 * v_[105] + 0.5824264 * v_[250] + v_[316] * v_[310] + v_[5] * v_[309] + v_[53] * v_[348] + v_[46] * v_[344] + v_[57] * v_[38] + v_[61] * v_[19] + (v_[44] * v_[313]) / v_[42] - 0.1466472 * (v_[72] + v_[333]);
+ v_[250] = v_[26] * x_in[19] + v_[120] * x_in[20];
+ v_[309] = 0.207 * x_in[20] + -1 * x_in[21];
+ v_[310] = -1 * x_in[18] + x_in[30];
+ v_[72] = 0.207 * v_[120];
+ v_[105] = 0 - v_[37];
+ v_[294] = v_[123] * x_in[20] + v_[122] * x_in[19] + v_[72] * x_in[18] + v_[120] * x_in[23] + v_[105] * x_in[22];
+ v_[39] = v_[250] * v_[309] - v_[310] * v_[294];
+ v_[307] = v_[250] * v_[310];
+ v_[144] = v_[310] * v_[310];
+ v_[257] = v_[121] * x_in[19] + v_[26] * x_in[20];
+ v_[359] = v_[257] * v_[257];
+ v_[12] = -0.08 * v_[76];
+ v_[36] = v_[76] * v_[257] + v_[94] * v_[310];
+ v_[54] = -0.08 * v_[310] + -1 * v_[294];
+ v_[237] = v_[36] * v_[54];
+ v_[215] = -1 * v_[250] + x_in[31];
+ v_[13] = 0.3735 * v_[120];
+ v_[24] = -0.3735 * v_[37];
+ v_[18] = 0 - v_[37];
+ v_[352] = 0 - v_[120];
+ v_[256] = v_[13] * x_in[20] + v_[24] * x_in[19] + v_[118] * x_in[18] + v_[18] * x_in[23] + v_[352] * x_in[22];
+ v_[360] = v_[94] * v_[309] + v_[76] * v_[256] + v_[104] * v_[250];
+ v_[312] = v_[215] * v_[360];
+ v_[1] = v_[95] * v_[257] + v_[76] * v_[310];
+ v_[10] = v_[36] * v_[1];
+ v_[8] = v_[79] * v_[36] + v_[77] * v_[1];
+ v_[27] = -0.35 * v_[1] + v_[54];
+ v_[11] = v_[8] * v_[27];
+ v_[22] = v_[215] + x_in[32];
+ v_[31] = 0 - v_[94];
+ v_[14] = v_[76] * v_[309] + v_[31] * v_[256] + v_[12] * v_[250];
+ v_[311] = v_[77] * v_[14] + v_[79] * v_[360] + v_[78] * v_[215];
+ v_[308] = v_[22] * v_[311];
+ v_[306] = v_[89] * v_[36] + v_[79] * v_[1];
+ v_[358] = v_[8] * v_[306];
+ v_[355] = (0 - v_[311]) * x_in[32];
+ v_[314] = 0 - v_[77];
+ v_[345] = 0.35 * v_[79];
+ v_[330] = v_[79] * v_[14] + v_[314] * v_[360] + v_[345] * v_[215];
+ v_[354] = v_[330] * x_in[32];
+ v_[343] = -0.3735 + -0.33 * v_[76] * v_[77] - 0.33 * v_[94] * v_[79] - 0.35 * v_[94];
+ v_[342] = 0.5 * x_in[0];
+ v_[336] = cos(v_[342]);
+ v_[340] = 0.5 * x_in[1];
+ v_[361] = cos(v_[340]);
+ v_[326] = v_[336] * v_[361];
+ v_[346] = 0.5 * x_in[2];
+ v_[331] = sin(v_[346]);
+ v_[342] = sin(v_[342]);
+ v_[340] = sin(v_[340]);
+ v_[323] = v_[342] * v_[340];
+ v_[346] = cos(v_[346]);
+ v_[320] = v_[326] * v_[331] + v_[323] * v_[346];
+ v_[28] = 2. * v_[320];
+ v_[340] = v_[336] * v_[340];
+ v_[342] = v_[342] * v_[361];
+ v_[361] = v_[340] * v_[346] - v_[342] * v_[331];
+ v_[336] = v_[28] * v_[361];
+ v_[342] = v_[342] * v_[346] + v_[340] * v_[331];
+ v_[340] = 2. * v_[342];
+ v_[346] = v_[326] * v_[346] - v_[323] * v_[331];
+ v_[323] = v_[340] * v_[346];
+ v_[331] = 0.5 * x_in[0];
+ v_[326] = cos(v_[331]);
+ v_[350] = 0.5 * x_in[1];
+ v_[337] = sin(v_[350]);
+ v_[322] = v_[326] * v_[337];
+ v_[324] = 0.5 * x_in[2];
+ v_[321] = cos(v_[324]);
+ v_[331] = sin(v_[331]);
+ v_[350] = cos(v_[350]);
+ v_[319] = v_[331] * v_[350];
+ v_[324] = sin(v_[324]);
+ v_[338] = v_[322] * v_[321] - v_[319] * v_[324];
+ v_[362] = 2. * v_[338];
+ v_[363] = v_[362] * v_[338];
+ v_[319] = v_[319] * v_[321] + v_[322] * v_[324];
+ v_[322] = 2. * v_[319];
+ v_[364] = v_[322] * v_[319];
+ v_[365] = 0.33 * v_[37];
+ v_[366] = sin(x_in[12]);
+ v_[367] = 0.207 + 0.33 * v_[366] * v_[94] * v_[77] - 0.33 * v_[366] * v_[76] * v_[79] - 0.35 * v_[366] * v_[76] - 0.08 * v_[366];
+ v_[368] = -0.3735 + -0.33 * v_[76] * v_[77] - 0.33 * v_[94] * v_[79] - 0.35 * v_[94];
+ v_[365] = (v_[365] * v_[76] * v_[77] + 0.33 * v_[37] * v_[94] * v_[79]) * x_in[32] + (v_[365] * v_[94] * v_[79] + 0.33 * v_[37] * v_[76] * v_[77] + 0.35 * v_[37] * v_[94]) * x_in[31] + (0.33 * v_[366] * v_[76] * v_[79] + -0.33 * v_[366] * v_[94] * v_[77] + 0.35 * v_[366] * v_[76] + 0.08 * v_[366]) * x_in[30] + x_in[23] + x_in[18] * v_[367] - x_in[19] * v_[368];
+ v_[350] = v_[326] * v_[350];
+ v_[331] = v_[331] * v_[337];
+ v_[337] = v_[350] * v_[324] + v_[331] * v_[321];
+ v_[326] = 2. * v_[337];
+ v_[338] = v_[326] * v_[338];
+ v_[331] = v_[350] * v_[321] - v_[331] * v_[324];
+ v_[322] = v_[322] * v_[331];
+ v_[350] = 0.33 * v_[366];
+ v_[324] = 0.33 * v_[37] * v_[94] * v_[77] - 0.33 * v_[37] * v_[76] * v_[79] - 0.35 * v_[37] * v_[76] - 0.08 * v_[37];
+ v_[350] = (v_[350] * v_[76] * v_[77] + 0.33 * v_[366] * v_[94] * v_[79]) * x_in[32] + (v_[350] * v_[94] * v_[79] + 0.33 * v_[366] * v_[76] * v_[77] + 0.35 * v_[366] * v_[94]) * x_in[31] + (0.33 * v_[37] * v_[94] * v_[77] - 0.33 * v_[37] * v_[76] * v_[79] - 0.35 * v_[37] * v_[76] - 0.08 * v_[37]) * x_in[30] + x_in[22] + x_in[20] * v_[368] - x_in[18] * v_[324];
+ v_[368] = v_[326] * v_[319];
+ v_[321] = v_[362] * v_[331];
+ v_[324] = (0.33 * v_[94] * v_[77] - 0.33 * v_[76] * v_[79]) * x_in[32] + (0.33 * v_[94] * v_[77] - 0.33 * v_[76] * v_[79] - 0.35 * v_[76]) * x_in[31] + x_in[21] + x_in[19] * v_[324] - x_in[20] * v_[367];
+ v_[367] = 0.5 * x_in[0];
+ v_[369] = cos(v_[367]);
+ v_[370] = 0.5 * x_in[1];
+ v_[371] = sin(v_[370]);
+ v_[372] = v_[369] * v_[371];
+ v_[373] = 0.5 * x_in[2];
+ v_[374] = cos(v_[373]);
+ v_[367] = sin(v_[367]);
+ v_[370] = cos(v_[370]);
+ v_[375] = v_[367] * v_[370];
+ v_[373] = sin(v_[373]);
+ v_[376] = v_[372] * v_[374] - v_[375] * v_[373];
+ v_[377] = 2. * v_[376];
+ v_[375] = v_[375] * v_[374] + v_[372] * v_[373];
+ v_[372] = 2. * v_[375];
+ v_[370] = v_[369] * v_[370];
+ v_[367] = v_[367] * v_[371];
+ v_[371] = 2. * (v_[370] * v_[373] + v_[367] * v_[374]);
+ v_[367] = v_[370] * v_[374] - v_[367] * v_[373];
+ v_[367] = (1 - v_[377] * v_[376] - v_[372] * v_[375]) * (0.33 * v_[37] * v_[94] * v_[77] - 0.33 * v_[37] * v_[76] * v_[79] - 0.35 * v_[37] * v_[76] - 0.08 * v_[37]) + (v_[371] * v_[376] + v_[372] * v_[367]) * (0.207 + 0.33 * v_[366] * v_[94] * v_[77] - 0.33 * v_[366] * v_[76] * v_[79] - 0.35 * v_[366] * v_[76] - 0.08 * v_[366]) + (v_[371] * v_[375] - v_[377] * v_[367]) * (-0.3735 + -0.33 * v_[76] * v_[77] - 0.33 * v_[94] * v_[79] - 0.35 * v_[94]) + x_in[5];
+ v_[371] = 1 / (1 + exp(100. * v_[367]));
+ v_[367] = -1000. * ((1 - v_[363] - v_[364]) * v_[365] + (v_[338] + v_[322]) * v_[350] + (v_[368] - v_[321]) * v_[324]) * v_[371] + 5000. * exp(-100. * (v_[367] + 0.02));
+ v_[320] = v_[28] * v_[320];
+ v_[340] = v_[340] * v_[342];
+ v_[337] = v_[326] * v_[337];
+ v_[319] = v_[362] * v_[319];
+ v_[331] = v_[326] * v_[331];
+ v_[322] = -1000. * ((v_[338] - v_[322]) * v_[365] + (1 - v_[337] - v_[364]) * v_[350] + (v_[319] + v_[331]) * v_[324]) * v_[371];
+ v_[338] = 2. * v_[361];
+ v_[364] = v_[338] * v_[342];
+ v_[326] = v_[28] * v_[346];
+ v_[331] = -1000. * ((v_[368] + v_[321]) * v_[365] + (v_[319] - v_[331]) * v_[350] + (1 - v_[337] - v_[363]) * v_[324]) * v_[371];
+ v_[319] = (v_[336] + v_[323]) * v_[367] + (1 - v_[320] - v_[340]) * v_[322] + (v_[364] - v_[326]) * v_[331];
+ v_[337] = 0.207 + 0.33 * v_[120] * v_[94] * v_[77] - 0.33 * v_[120] * v_[76] * v_[79] - 0.35 * v_[120] * v_[76] - 0.08 * v_[120];
+ v_[342] = v_[28] * v_[342];
+ v_[346] = v_[338] * v_[346];
+ v_[338] = v_[338] * v_[361];
+ v_[326] = (v_[342] - v_[346]) * v_[367] + (v_[364] + v_[326]) * v_[322] + (1 - v_[320] - v_[338]) * v_[331];
+ v_[364] = v_[343] * v_[319] - v_[337] * v_[326];
+ v_[320] = 0.33 * v_[37] * v_[94] * v_[77] - 0.33 * v_[37] * v_[76] * v_[79] - 0.35 * v_[37] * v_[76] - 0.08 * v_[37];
+ v_[338] = (1 - v_[338] - v_[340]) * v_[367] + (v_[336] - v_[323]) * v_[322] + (v_[342] + v_[346]) * v_[331];
+ v_[343] = v_[320] * v_[326] - v_[343] * v_[338];
+ v_[27] = v_[306] * v_[27] - v_[22] * v_[330];
+ v_[346] = 0.110125 * (v_[308] - v_[11]) + 0.025941 * v_[358] - (0 - v_[120]) * v_[364] - v_[37] * v_[343] - (-0.35 * v_[37] * v_[94] - 0.3735 * v_[37]) * v_[338] - (-0.35 * v_[120] * v_[94] - 0.3735 * v_[120]) * v_[319] - (0.08 + 0.35 * v_[76] - 0.207 * v_[120]) * v_[326] - -0.000881 * v_[27];
+ v_[342] = x_in[44] - v_[346];
+ v_[331] = v_[37] * v_[76];
+ v_[322] = v_[37] * v_[94];
+ v_[340] = v_[331] * v_[77] + v_[322] * v_[79];
+ v_[367] = v_[120] * v_[76];
+ v_[323] = v_[120] * v_[94];
+ v_[336] = v_[367] * v_[77] + v_[323] * v_[79];
+ v_[361] = v_[94] * v_[77] - v_[76] * v_[79];
+ v_[28] = v_[22] * v_[22];
+ v_[308] = -0.881 * (v_[11] - v_[308]) + 0.110125 * v_[358] + 0.417781802643138 * v_[355] + -0.00370574557885489 * v_[354] + (0.110125 * v_[342]) / 0.026181 - v_[340] * v_[338] - v_[336] * v_[319] - v_[361] * v_[326] - -0.000881 * (v_[28] + v_[8] * v_[8]);
+ v_[322] = v_[322] * v_[77] - v_[331] * v_[79];
+ v_[323] = v_[323] * v_[77] - v_[367] * v_[79];
+ v_[367] = v_[94] * v_[79];
+ v_[28] = 0.881 * v_[27] + -0.000881 * v_[358] + -0.00370574557885489 * v_[355] + 0.880970354035369 * v_[354] + (0.000881 * v_[342]) / 0.026181 - v_[322] * v_[338] - v_[323] * v_[319] - ((0 - v_[76]) * v_[77] - v_[367]) * v_[326] - 0.110125 * (v_[28] + v_[306] * v_[306]);
+ v_[27] = (0 - v_[36]) * x_in[31];
+ v_[358] = v_[1] * x_in[31];
+ v_[331] = (0 - v_[360]) * x_in[31];
+ v_[11] = v_[14] * x_in[31];
+ v_[371] = v_[36] * v_[215];
+ v_[54] = v_[1] * v_[54] - v_[215] * v_[14];
+ v_[324] = v_[1] * v_[215];
+ v_[321] = v_[1] * v_[1];
+ v_[368] = v_[36] * v_[36];
+ v_[346] = 0.47422804 * (v_[312] - v_[237]) + 0.081641 * v_[10] + 2.1e-05 * v_[371] + (0.026181 * v_[342]) / 0.026181 + v_[346] + v_[345] * v_[308] + v_[78] * v_[28] - 0.0825825 * v_[54] - -0.000102 * v_[324] - -0.007418 * (v_[321] - v_[368]);
+ v_[350] = x_in[43] - v_[346];
+ v_[215] = v_[215] * v_[215];
+ v_[312] = -3.146 * (v_[237] - v_[312]) + 0.47422804 * v_[10] + v_[79] * v_[308] + v_[77] * v_[28] + v_[96] * v_[27] + v_[93] * v_[358] + v_[110] * v_[331] + v_[109] * v_[11] + (v_[91] * v_[350]) / v_[81] - 0.0825825 * (v_[215] + v_[368]);
+ v_[54] = 3.146 * v_[54] + 0.0825825 * v_[10] + v_[314] * v_[308] + v_[79] * v_[28] + v_[98] * v_[27] + v_[87] * v_[358] + v_[109] * v_[331] + v_[84] * v_[11] + (v_[88] * v_[350]) / v_[81] - 0.47422804 * (v_[215] + v_[321]);
+ v_[28] = (0 - v_[257]) * x_in[30];
+ v_[308] = v_[250] * x_in[30];
+ v_[109] = (0 - v_[256]) * x_in[30];
+ v_[84] = v_[294] * x_in[30];
+ v_[237] = v_[257] * v_[250];
+ v_[110] = v_[310] * v_[256];
+ v_[309] = v_[257] * v_[309];
+ v_[310] = v_[257] * v_[310];
+ v_[365] = (0 - v_[8]) * x_in[32];
+ v_[320] = v_[337] * v_[338] - v_[320] * v_[319];
+ v_[337] = 0.207 * v_[37];
+ v_[330] = v_[8] * v_[330] - v_[306] * v_[311];
+ v_[8] = v_[8] * v_[22];
+ v_[361] = 0.026409 * v_[365] - v_[340] * v_[364] - v_[336] * v_[343] - v_[361] * v_[320] - (((0.08 * v_[120] - 0.207) * v_[94] - 0.3735 * v_[120] * v_[76]) * v_[77] + ((0.207 - 0.08 * v_[120]) * v_[76] + -0.3735 * v_[120] * v_[94] - 0.35 * v_[120]) * v_[79]) * v_[338] - ((0.3735 * v_[37] * v_[76] - 0.08 * v_[37] * v_[94]) * v_[77] + (0.08 * v_[37] * v_[76] + 0.3735 * v_[37] * v_[94] + 0.35 * v_[37]) * v_[79]) * v_[319] - (v_[337] * v_[76] * v_[77] + 0.207 * v_[37] * v_[94] * v_[79]) * v_[326] - 0.110125 * v_[330] - 0.025713 * v_[8];
+ v_[22] = v_[306] * v_[22];
+ v_[306] = v_[306] * x_in[32];
+ v_[337] = -0.000227999999999999 * v_[22] + -0.000881 * v_[330] + 0.000468 * v_[306] - v_[322] * v_[364] - v_[323] * v_[343] - ((0 - v_[76]) * v_[77] - v_[367]) * v_[320] - (((0.207 - 0.08 * v_[120]) * v_[76] + -0.3735 * v_[120] * v_[94] - 0.35 * v_[120]) * v_[77] + ((0.207 - 0.08 * v_[120]) * v_[94] + 0.3735 * v_[120] * v_[76]) * v_[79]) * v_[338] - ((0.08 * v_[37] * v_[76] + 0.3735 * v_[37] * v_[94] + 0.35 * v_[37]) * v_[77] + (0.08 * v_[37] * v_[94] - 0.3735 * v_[37] * v_[76]) * v_[79]) * v_[319] - (v_[337] * v_[94] * v_[77] - 0.207 * v_[37] * v_[76] * v_[79]) * v_[326];
+ v_[306] = 0.110125 * v_[8] + 0.881 * v_[330] + -0.000881 * v_[22] + -0.110125 * v_[365] + -0.000881 * v_[306] - (0 - v_[120]) * v_[338] - v_[37] * v_[319];
+ v_[14] = v_[36] * v_[14] - v_[1] * v_[360];
+ v_[368] = -0.007418 * v_[324] + -0.000102 * (v_[215] - v_[368]) + v_[79] * v_[361] + v_[77] * v_[337] + -0.35 * v_[306] + v_[101] * v_[27] + v_[102] * v_[358] + v_[96] * v_[331] + v_[98] * v_[11] + (2.1e-05 * v_[350]) / v_[81] - 0.47422804 * v_[14] - 0.084376 * v_[371] - 2.1e-05 * v_[10];
+ v_[337] = 0.002735 * v_[324] + 0.0825825 * v_[14] + -0.000102 * v_[10] + v_[89] * v_[361] + v_[79] * v_[337] + v_[102] * v_[27] + v_[100] * v_[358] + v_[93] * v_[331] + v_[87] * v_[11] + (-0.000102 * v_[350]) / v_[81] - -0.007418 * v_[371] - 2.1e-05 * (v_[215] - v_[321]);
+ v_[14] = 0.47422804 * v_[371] + 3.146 * v_[14] + 0.0825825 * v_[324] + v_[306] + v_[90] * v_[27] + v_[83] * v_[358];
+ v_[306] = v_[250] * v_[250];
+ v_[324] = 0.009466 * v_[237] + 0.1466472 * (v_[110] - v_[309]) + -5.1e-05 * v_[310] + v_[76] * v_[368] + v_[94] * v_[337] + -0.08 * v_[14] - 0.022734 * v_[307] - 3.6e-05 * (v_[306] - v_[359]);
+ v_[371] = x_in[42] - v_[324];
+ v_[256] = v_[257] * v_[294] - v_[250] * v_[256];
+ v_[346] = -0.5824264 * v_[39] + 3.6e-05 * v_[307] + 0.022734 * (v_[144] - v_[359]) + v_[12] * v_[312] + v_[104] * v_[54] + -1 * (v_[346] + (v_[81] * v_[350]) / v_[81]) + v_[126] * v_[28] + v_[80] * v_[308] + v_[128] * v_[109] + v_[125] * v_[84] + (v_[145] * v_[371]) / v_[113] - 0.1466472 * v_[256] - -0.123672 * v_[310] - -5.1e-05 * v_[237];
+ v_[337] = -0.133138 * v_[307] + -0.5824264 * (v_[309] - v_[110]) + 0.022734 * v_[237] + v_[95] * v_[368] + v_[76] * v_[337] + v_[80] * v_[28] + v_[107] * v_[308] + v_[138] * v_[109] + v_[117] * v_[84] + (v_[82] * v_[371]) / v_[113] - 3.6e-05 * v_[310] - -5.1e-05 * (v_[144] - v_[306]);
+ v_[256] = 3.44 * v_[256] + 0.1466472 * v_[310] + v_[76] * v_[312] + v_[94] * v_[54] + v_[106] * v_[28] + v_[85] * v_[308] + v_[141] * v_[109] + v_[135] * v_[84] + (v_[114] * v_[371]) / v_[113] - -0.5824264 * (v_[306] + v_[359]);
+ v_[14] = 0.1466472 * v_[237] + -3.44 * (v_[309] - v_[110]) + -0.5824264 * v_[307] + -1 * v_[14] + v_[128] * v_[28] + v_[138] * v_[308] + v_[140] * v_[109] + v_[129] * v_[84] + (v_[127] * v_[371]) / v_[113];
+ v_[306] = 3.44 * v_[39] + -0.5824264 * v_[310] + v_[31] * v_[312] + v_[76] * v_[54] + v_[125] * v_[28] + v_[117] * v_[308] + v_[129] * v_[109] + v_[133] * v_[84] + (v_[115] * v_[371]) / v_[113] - 0.1466472 * (v_[144] + v_[306]);
+ v_[310] = v_[108] * x_in[19] + v_[191] * x_in[20];
+ v_[54] = 0.207 * x_in[20] + x_in[21];
+ v_[312] = x_in[18] + x_in[27];
+ v_[144] = -0.207 * v_[191];
+ v_[39] = v_[194] * x_in[20] + v_[192] * x_in[19] + v_[144] * x_in[18] + v_[191] * x_in[23] + v_[108] * x_in[22];
+ v_[309] = v_[310] * v_[54] - v_[312] * v_[39];
+ v_[110] = v_[310] * v_[312];
+ v_[237] = v_[312] * v_[312];
+ v_[307] = v_[191] * x_in[19] + v_[193] * x_in[20];
+ v_[359] = v_[307] * v_[307];
+ v_[368] = v_[310] + x_in[28];
+ v_[80] = 0 - v_[171];
+ v_[107] = 0.3735 * v_[191];
+ v_[126] = 0.3735 * v_[108];
+ v_[257] = 0 - v_[108];
+ v_[294] = v_[107] * x_in[20] + v_[126] * x_in[19] + v_[190] * x_in[18] + v_[257] * x_in[23] + v_[191] * x_in[22];
+ v_[250] = v_[80] * v_[54] + v_[92] * v_[294] + v_[177] * v_[310];
+ v_[90] = v_[368] * v_[250];
+ v_[83] = v_[92] * v_[307] + v_[172] * v_[312];
+ v_[361] = 0.08 * v_[312] + v_[39];
+ v_[215] = v_[83] * v_[361];
+ v_[321] = v_[172] * v_[307] + v_[175] * v_[312];
+ v_[10] = v_[83] * v_[321];
+ v_[100] = v_[83] * v_[368];
+ v_[102] = v_[368] + x_in[29];
+ v_[87] = 0 - v_[92];
+ v_[93] = 0 - v_[171];
+ v_[89] = 0.08 * v_[92];
+ v_[101] = v_[87] * v_[54] + v_[93] * v_[294] + v_[89] * v_[310];
+ v_[98] = v_[149] * v_[101] + v_[147] * v_[250] + v_[152] * v_[368];
+ v_[96] = v_[102] * v_[98];
+ v_[1] = v_[147] * v_[83] + v_[149] * v_[321];
+ v_[360] = -0.35 * v_[321] + v_[361];
+ v_[36] = v_[1] * v_[360];
+ v_[22] = v_[150] * v_[83] + v_[147] * v_[321];
+ v_[8] = v_[1] * v_[22];
+ v_[330] = 0.3735 + -0.33 * v_[92] * v_[149] - 0.33 * v_[171] * v_[147] - 0.35 * v_[171];
+ v_[365] = 0.5 * x_in[0];
+ v_[338] = cos(v_[365]);
+ v_[319] = 0.5 * x_in[1];
+ v_[37] = cos(v_[319]);
+ v_[320] = v_[338] * v_[37];
+ v_[367] = 0.5 * x_in[2];
+ v_[323] = sin(v_[367]);
+ v_[365] = sin(v_[365]);
+ v_[319] = sin(v_[319]);
+ v_[322] = v_[365] * v_[319];
+ v_[367] = cos(v_[367]);
+ v_[343] = v_[320] * v_[323] + v_[322] * v_[367];
+ v_[364] = 2. * v_[343];
+ v_[319] = v_[338] * v_[319];
+ v_[365] = v_[365] * v_[37];
+ v_[37] = v_[319] * v_[367] - v_[365] * v_[323];
+ v_[338] = v_[364] * v_[37];
+ v_[365] = v_[365] * v_[367] + v_[319] * v_[323];
+ v_[319] = 2. * v_[365];
+ v_[367] = v_[320] * v_[367] - v_[322] * v_[323];
+ v_[322] = v_[319] * v_[367];
+ v_[323] = 0.5 * x_in[1];
+ v_[320] = sin(v_[323]);
+ v_[326] = v_[341] * v_[320];
+ v_[336] = 0.5 * x_in[2];
+ v_[340] = cos(v_[336]);
+ v_[323] = cos(v_[323]);
+ v_[311] = v_[351] * v_[323];
+ v_[336] = sin(v_[336]);
+ v_[363] = v_[326] * v_[340] - v_[311] * v_[336];
+ v_[362] = 2. * v_[363];
+ v_[372] = v_[362] * v_[363];
+ v_[311] = v_[311] * v_[340] + v_[326] * v_[336];
+ v_[326] = 2. * v_[311];
+ v_[375] = v_[326] * v_[311];
+ v_[377] = 0.33 * v_[108];
+ v_[376] = sin(x_in[11]);
+ v_[366] = sin(x_in[10]);
+ v_[370] = -0.33 * v_[191];
+ v_[373] = -0.207 + 0.33 * v_[191] * v_[92] * v_[147] + -0.33 * v_[191] * v_[366] * v_[376] + 0.35 * v_[191] * v_[92] + 0.08 * v_[191];
+ v_[374] = 0.3735 + -0.33 * v_[92] * v_[376] - 0.33 * v_[366] * v_[147] - 0.35 * v_[366];
+ v_[377] = (v_[377] * v_[92] * v_[376] + 0.33 * v_[108] * v_[366] * v_[147]) * x_in[29] + (v_[377] * v_[366] * v_[147] + 0.33 * v_[108] * v_[92] * v_[376] + 0.35 * v_[108] * v_[366]) * x_in[28] + (0.33 * v_[191] * v_[92] * v_[147] + v_[370] * v_[366] * v_[376] + 0.35 * v_[191] * v_[92] + 0.08 * v_[191]) * x_in[27] + x_in[23] + x_in[18] * v_[373] - x_in[19] * v_[374];
+ v_[323] = v_[341] * v_[323];
+ v_[320] = v_[351] * v_[320];
+ v_[351] = v_[323] * v_[336] + v_[320] * v_[340];
+ v_[341] = 2. * v_[351];
+ v_[363] = v_[341] * v_[363];
+ v_[320] = v_[323] * v_[340] - v_[320] * v_[336];
+ v_[326] = v_[326] * v_[320];
+ v_[323] = 0.33 * v_[108] * v_[366] * v_[376] - 0.33 * v_[108] * v_[92] * v_[147] - 0.35 * v_[108] * v_[92] - 0.08 * v_[108];
+ v_[374] = (-0.33 * v_[191] * v_[92] * v_[376] - 0.33 * v_[191] * v_[366] * v_[147]) * x_in[29] + (v_[370] * v_[92] * v_[376] - 0.33 * v_[191] * v_[366] * v_[147] - 0.35 * v_[191] * v_[366]) * x_in[28] + (0.33 * v_[108] * v_[92] * v_[147] + -0.33 * v_[108] * v_[366] * v_[376] + 0.35 * v_[108] * v_[92] + 0.08 * v_[108]) * x_in[27] + x_in[22] + x_in[20] * v_[374] - x_in[18] * v_[323];
+ v_[370] = v_[341] * v_[311];
+ v_[336] = v_[362] * v_[320];
+ v_[323] = (0.33 * v_[366] * v_[376] - 0.33 * v_[92] * v_[147]) * x_in[29] + (0.33 * v_[366] * v_[376] - 0.33 * v_[92] * v_[147] - 0.35 * v_[92]) * x_in[28] + x_in[21] + x_in[19] * v_[323] - x_in[20] * v_[373];
+ v_[373] = 0.5 * x_in[1];
+ v_[340] = sin(v_[373]);
+ v_[369] = v_[3] * v_[340];
+ v_[378] = 0.5 * x_in[2];
+ v_[379] = cos(v_[378]);
+ v_[373] = cos(v_[373]);
+ v_[380] = v_[4] * v_[373];
+ v_[378] = sin(v_[378]);
+ v_[381] = v_[369] * v_[379] - v_[380] * v_[378];
+ v_[382] = 2. * v_[381];
+ v_[380] = v_[380] * v_[379] + v_[369] * v_[378];
+ v_[369] = 2. * v_[380];
+ v_[373] = v_[3] * v_[373];
+ v_[340] = v_[4] * v_[340];
+ v_[4] = 2. * (v_[373] * v_[378] + v_[340] * v_[379]);
+ v_[340] = v_[373] * v_[379] - v_[340] * v_[378];
+ v_[340] = (1 - v_[382] * v_[381] - v_[369] * v_[380]) * (0.33 * v_[108] * v_[366] * v_[376] - 0.33 * v_[108] * v_[92] * v_[147] - 0.35 * v_[108] * v_[92] - 0.08 * v_[108]) + (v_[4] * v_[381] + v_[369] * v_[340]) * (-0.207 + 0.33 * v_[191] * v_[92] * v_[147] + -0.33 * v_[191] * v_[366] * v_[376] + 0.35 * v_[191] * v_[92] + 0.08 * v_[191]) + (v_[4] * v_[380] - v_[382] * v_[340]) * (0.3735 + -0.33 * v_[92] * v_[376] - 0.33 * v_[366] * v_[147] - 0.35 * v_[366]) + x_in[5];
+ v_[4] = 1 / (1 + exp(100. * v_[340]));
+ v_[340] = -1000. * ((1 - v_[372] - v_[375]) * v_[377] + (v_[363] + v_[326]) * v_[374] + (v_[370] - v_[336]) * v_[323]) * v_[4] + 5000. * exp(-100. * (v_[340] + 0.02));
+ v_[343] = v_[364] * v_[343];
+ v_[319] = v_[319] * v_[365];
+ v_[351] = v_[341] * v_[351];
+ v_[311] = v_[362] * v_[311];
+ v_[320] = v_[341] * v_[320];
+ v_[326] = -1000. * ((v_[363] - v_[326]) * v_[377] + (1 - v_[351] - v_[375]) * v_[374] + (v_[311] + v_[320]) * v_[323]) * v_[4];
+ v_[363] = 2. * v_[37];
+ v_[375] = v_[363] * v_[365];
+ v_[341] = v_[364] * v_[367];
+ v_[320] = -1000. * ((v_[370] + v_[336]) * v_[377] + (v_[311] - v_[320]) * v_[374] + (1 - v_[351] - v_[372]) * v_[323]) * v_[4];
+ v_[311] = (v_[338] + v_[322]) * v_[340] + (1 - v_[343] - v_[319]) * v_[326] + (v_[375] - v_[341]) * v_[320];
+ v_[351] = -0.207 + 0.33 * v_[191] * v_[92] * v_[147] + -0.33 * v_[191] * v_[171] * v_[149] + 0.35 * v_[191] * v_[92] + 0.08 * v_[191];
+ v_[365] = v_[364] * v_[365];
+ v_[367] = v_[363] * v_[367];
+ v_[363] = v_[363] * v_[37];
+ v_[341] = (v_[365] - v_[367]) * v_[340] + (v_[375] + v_[341]) * v_[326] + (1 - v_[343] - v_[363]) * v_[320];
+ v_[375] = v_[330] * v_[311] - v_[351] * v_[341];
+ v_[343] = 0.33 * v_[108] * v_[171] * v_[149] - 0.33 * v_[108] * v_[92] * v_[147] - 0.35 * v_[108] * v_[92] - 0.08 * v_[108];
+ v_[363] = (1 - v_[363] - v_[319]) * v_[340] + (v_[338] - v_[322]) * v_[326] + (v_[365] + v_[367]) * v_[320];
+ v_[330] = v_[343] * v_[341] - v_[330] * v_[363];
+ v_[367] = 0 - v_[149];
+ v_[365] = 0.35 * v_[147];
+ v_[320] = v_[147] * v_[101] + v_[367] * v_[250] + v_[365] * v_[368];
+ v_[360] = v_[22] * v_[360] - v_[102] * v_[320];
+ v_[326] = 0.1104774 * (v_[96] - v_[36]) + 0.025941 * v_[8] - v_[191] * v_[375] - v_[108] * v_[330] - (0.3735 * v_[108] - 0.35 * v_[108] * v_[171]) * v_[363] - (0.35 * v_[191] * v_[171] - 0.3735 * v_[191]) * v_[311] - (0.08 + 0.35 * v_[92] - 0.207 * v_[191]) * v_[341] - 0.0004405 * v_[360];
+ v_[319] = x_in[41] - v_[326];
+ v_[340] = v_[22] * v_[102];
+ v_[322] = (0 - v_[98]) * x_in[29];
+ v_[338] = v_[320] * x_in[29];
+ v_[37] = v_[22] * x_in[29];
+ v_[364] = v_[108] * v_[92];
+ v_[4] = v_[108] * v_[171];
+ v_[323] = v_[364] * v_[149] + v_[4] * v_[147];
+ v_[336] = v_[191] * v_[171];
+ v_[370] = v_[336] * v_[147];
+ v_[374] = v_[171] * v_[149] - v_[92] * v_[147];
+ v_[377] = v_[102] * v_[102];
+ v_[372] = v_[1] * v_[1];
+ v_[362] = -0.881 * (v_[36] - v_[96]) + 0.1104774 * v_[8] + -8.81e-05 * v_[340] + 0.414812462825713 * v_[322] + 0.00185880198235362 * v_[338] + 8.81e-05 * v_[37] + (0.1104774 * v_[319]) / 0.026181 - v_[323] * v_[363] - ((0 - v_[191]) * v_[92] * v_[149] - v_[370]) * v_[311] - v_[374] * v_[341] - 0.0004405 * (v_[377] + v_[372]);
+ v_[102] = v_[1] * v_[102];
+ v_[369] = (0 - v_[1]) * x_in[29];
+ v_[4] = v_[4] * v_[149] - v_[364] * v_[147];
+ v_[336] = v_[191] * v_[92] * v_[147] - v_[336] * v_[149];
+ v_[364] = (0 - v_[92]) * v_[149] - v_[171] * v_[147];
+ v_[380] = v_[22] * v_[22];
+ v_[377] = 0.881 * v_[360] + -8.81e-05 * v_[102] + 0.0004405 * v_[8] + 0.00185880198235362 * v_[322] + 0.880992588508842 * v_[338] + -8.81e-05 * v_[369] + (-0.0004405 * v_[319]) / 0.026181 - v_[4] * v_[363] - v_[336] * v_[311] - v_[364] * v_[341] - 0.1104774 * (v_[377] + v_[380]);
+ v_[361] = v_[321] * v_[361] - v_[368] * v_[101];
+ v_[8] = v_[321] * v_[368];
+ v_[382] = v_[321] * v_[321];
+ v_[381] = v_[83] * v_[83];
+ v_[326] = 0.47422804 * (v_[90] - v_[215]) + 0.081641 * v_[10] + 2.1e-05 * v_[100] + (0.026181 * v_[319]) / 0.026181 + v_[326] + v_[365] * v_[362] + v_[152] * v_[377] - -0.0825825 * v_[361] - 0.000102 * v_[8] - 0.007418 * (v_[382] - v_[381]);
+ v_[366] = x_in[40] - v_[326];
+ v_[376] = (0 - v_[83]) * x_in[28];
+ v_[373] = v_[321] * x_in[28];
+ v_[378] = (0 - v_[250]) * x_in[28];
+ v_[379] = v_[101] * x_in[28];
+ v_[368] = v_[368] * v_[368];
+ v_[215] = -3.146 * (v_[215] - v_[90]) + 0.47422804 * v_[10] + v_[147] * v_[362] + v_[149] * v_[377] + v_[157] * v_[376] + v_[170] * v_[373] + v_[182] * v_[378] + v_[181] * v_[379] + (v_[168] * v_[366]) / v_[159] - -0.0825825 * (v_[368] + v_[381]);
+ v_[361] = 3.146 * v_[361] + -0.0825825 * v_[10] + v_[367] * v_[362] + v_[147] * v_[377] + v_[174] * v_[376] + v_[151] * v_[373] + v_[181] * v_[378] + v_[162] * v_[379] + (v_[166] * v_[366]) / v_[159] - 0.47422804 * (v_[368] + v_[382]);
+ v_[377] = (0 - v_[307]) * x_in[27];
+ v_[362] = v_[310] * x_in[27];
+ v_[181] = (0 - v_[294]) * x_in[27];
+ v_[162] = v_[39] * x_in[27];
+ v_[90] = v_[307] * v_[310];
+ v_[182] = v_[312] * v_[294];
+ v_[54] = v_[307] * v_[54];
+ v_[312] = v_[307] * v_[312];
+ v_[343] = v_[351] * v_[363] - v_[343] * v_[311];
+ v_[320] = v_[1] * v_[320] - v_[22] * v_[98];
+ v_[374] = -8.81e-05 * v_[360] + -8.81e-05 * v_[338] + 0.026409 * v_[369] - v_[323] * v_[375] - ((0 - v_[191]) * v_[92] * v_[149] - v_[370]) * v_[330] - v_[374] * v_[343] - (((0.207 - 0.08 * v_[191]) * v_[171] - 0.3735 * v_[191] * v_[92]) * v_[149] + ((0.08 * v_[191] - 0.207) * v_[92] + -0.3735 * v_[191] * v_[171] + 0.35 * v_[191]) * v_[147]) * v_[363] - ((-0.08 * v_[108] * v_[171] - 0.3735 * v_[108] * v_[92]) * v_[149] + (0.08 * v_[108] * v_[92] + -0.3735 * v_[108] * v_[171] + 0.35 * v_[108]) * v_[147]) * v_[311] - (-0.207 * v_[108] * v_[92] * v_[149] - 0.207 * v_[108] * v_[171] * v_[147]) * v_[341] - 0.1104774 * v_[320] - 0.025713 * v_[102];
+ v_[343] = 0.0004405 * v_[320] + -8.81e-05 * (v_[36] - v_[96]) + -0.000227999999999999 * v_[340] + 8.81e-05 * v_[322] + 0.000468 * v_[37] - v_[4] * v_[375] - v_[336] * v_[330] - v_[364] * v_[343] - (((0.08 * v_[191] - 0.207) * v_[92] + -0.3735 * v_[191] * v_[171] + 0.35 * v_[191]) * v_[149] + ((0.08 * v_[191] - 0.207) * v_[171] + 0.3735 * v_[191] * v_[92]) * v_[147]) * v_[363] - ((0.08 * v_[108] * v_[92] + -0.3735 * v_[108] * v_[171] + 0.35 * v_[108]) * v_[149] + (0.08 * v_[108] * v_[171] + 0.3735 * v_[108] * v_[92]) * v_[147]) * v_[311] - (0.207 * v_[108] * v_[92] * v_[147] - 0.207 * v_[108] * v_[171] * v_[149]) * v_[341];
+ v_[320] = 0.881 * v_[320] + 0.1104774 * v_[102] + 0.0004405 * v_[340] + -0.1104774 * v_[369] + 0.0004405 * v_[37] - v_[191] * v_[363] - v_[108] * v_[311] - -8.81e-05 * (v_[380] + v_[372]);
+ v_[101] = v_[83] * v_[101] - v_[321] * v_[250];
+ v_[381] = 0.007418 * v_[8] + 0.000102 * (v_[368] - v_[381]) + v_[147] * v_[374] + v_[149] * v_[343] + -0.35 * v_[320] + v_[165] * v_[376] + v_[154] * v_[373] + v_[157] * v_[378] + v_[174] * v_[379] + (v_[153] * v_[366]) / v_[159] - 0.47422804 * v_[101] - 0.084376 * v_[100] - 2.1e-05 * v_[10];
+ v_[343] = 0.002735 * v_[8] + -0.0825825 * v_[101] + 0.000102 * v_[10] + v_[150] * v_[374] + v_[147] * v_[343] + v_[154] * v_[376] + v_[148] * v_[373] + v_[170] * v_[378] + v_[151] * v_[379] + (v_[158] * v_[366]) / v_[159] - 0.007418 * v_[100] - 2.1e-05 * (v_[368] - v_[382]);
+ v_[101] = 0.47422804 * v_[100] + 3.146 * v_[101] + -0.0825825 * v_[8] + v_[320] + v_[167] * v_[376] + v_[161] * v_[373];
+ v_[320] = v_[310] * v_[310];
+ v_[8] = 0.009466 * v_[90] + 0.1466472 * (v_[182] - v_[54]) + -5.1e-05 * v_[312] + v_[175] * v_[381] + v_[172] * v_[343] + 0.08 * v_[101] - 0.022734 * v_[110] - 3.6e-05 * (v_[320] - v_[359]);
+ v_[100] = x_in[39] - v_[8];
+ v_[294] = v_[307] * v_[39] - v_[310] * v_[294];
+ v_[326] = -0.5824264 * v_[309] + 3.6e-05 * v_[110] + 0.022734 * (v_[237] - v_[359]) + (v_[159] * v_[366]) / v_[159] + v_[326] + v_[89] * v_[215] + v_[177] * v_[361] + v_[197] * v_[377] + v_[155] * v_[362] + v_[199] * v_[181] + v_[196] * v_[162] + (v_[217] * v_[100]) / v_[185] - 0.1466472 * v_[294] - -0.123672 * v_[312] - -5.1e-05 * v_[90];
+ v_[343] = -0.133138 * v_[110] + -0.5824264 * (v_[54] - v_[182]) + 0.022734 * v_[90] + v_[172] * v_[381] + v_[92] * v_[343] + v_[155] * v_[377] + v_[179] * v_[362] + v_[209] * v_[181] + v_[189] * v_[162] + (v_[160] * v_[100]) / v_[185] - 3.6e-05 * v_[312] - -5.1e-05 * (v_[237] - v_[320]);
+ v_[294] = 3.44 * v_[294] + 0.1466472 * v_[312] + v_[87] * v_[215] + v_[80] * v_[361] + v_[178] * v_[377] + v_[163] * v_[362] + v_[212] * v_[181] + v_[206] * v_[162] + (v_[186] * v_[100]) / v_[185] - -0.5824264 * (v_[320] + v_[359]);
+ v_[101] = 0.1466472 * v_[90] + -3.44 * (v_[54] - v_[182]) + -0.5824264 * v_[110] + v_[101] + v_[199] * v_[377] + v_[209] * v_[362] + v_[211] * v_[181] + v_[200] * v_[162] + (v_[198] * v_[100]) / v_[185];
+ v_[320] = 3.44 * v_[309] + -0.5824264 * v_[312] + v_[93] * v_[215] + v_[92] * v_[361] + v_[196] * v_[377] + v_[189] * v_[362] + v_[200] * v_[181] + v_[204] * v_[162] + (v_[187] * v_[100]) / v_[185] - 0.1466472 * (v_[237] + v_[320]);
+ v_[312] = v_[169] * x_in[19] + v_[265] * x_in[20];
+ v_[361] = 0.207 * x_in[20] + -1 * x_in[21];
+ v_[215] = -1 * x_in[18] + x_in[24];
+ v_[237] = 0.207 * v_[265];
+ v_[309] = 0 - v_[180];
+ v_[54] = v_[268] * x_in[20] + v_[267] * x_in[19] + v_[237] * x_in[18] + v_[265] * x_in[23] + v_[309] * x_in[22];
+ v_[182] = v_[312] * v_[361] - v_[215] * v_[54];
+ v_[90] = v_[312] * v_[215];
+ v_[110] = v_[215] * v_[215];
+ v_[359] = v_[266] * x_in[19] + v_[169] * x_in[20];
+ v_[381] = v_[359] * v_[359];
+ v_[155] = -0.08 * v_[219];
+ v_[179] = v_[219] * v_[359] + v_[244] * v_[215];
+ v_[197] = -0.08 * v_[215] + -1 * v_[54];
+ v_[307] = v_[179] * v_[197];
+ v_[39] = -1 * v_[312] + x_in[25];
+ v_[310] = -0.3735 * v_[265];
+ v_[167] = 0.3735 * v_[180];
+ v_[161] = 0 - v_[180];
+ v_[374] = 0 - v_[265];
+ v_[368] = v_[310] * x_in[20] + v_[167] * x_in[19] + v_[263] * x_in[18] + v_[161] * x_in[23] + v_[374] * x_in[22];
+ v_[382] = v_[244] * v_[361] + v_[219] * v_[368] + v_[249] * v_[312];
+ v_[10] = v_[39] * v_[382];
+ v_[148] = v_[245] * v_[359] + v_[219] * v_[215];
+ v_[154] = v_[179] * v_[148];
+ v_[151] = v_[220] * v_[179] + v_[222] * v_[148];
+ v_[170] = -0.35 * v_[148] + v_[197];
+ v_[150] = v_[151] * v_[170];
+ v_[165] = v_[39] + x_in[26];
+ v_[174] = 0 - v_[244];
+ v_[157] = v_[219] * v_[361] + v_[174] * v_[368] + v_[155] * v_[312];
+ v_[321] = v_[222] * v_[157] + v_[220] * v_[382] + v_[225] * v_[39];
+ v_[83] = v_[165] * v_[321];
+ v_[250] = v_[223] * v_[179] + v_[220] * v_[148];
+ v_[380] = v_[151] * v_[250];
+ v_[369] = v_[250] * v_[165];
+ v_[102] = (0 - v_[321]) * x_in[26];
+ v_[372] = 0 - v_[222];
+ v_[37] = 0.35 * v_[220];
+ v_[340] = v_[220] * v_[157] + v_[372] * v_[382] + v_[37] * v_[39];
+ v_[363] = v_[340] * x_in[26];
+ v_[311] = v_[250] * x_in[26];
+ v_[364] = 0.3735 + -0.33 * v_[219] * v_[222] - 0.33 * v_[244] * v_[220] - 0.35 * v_[244];
+ v_[336] = 0.5 * x_in[0];
+ v_[4] = cos(v_[336]);
+ v_[330] = 0.5 * x_in[1];
+ v_[375] = cos(v_[330]);
+ v_[341] = v_[4] * v_[375];
+ v_[36] = 0.5 * x_in[2];
+ v_[96] = sin(v_[36]);
+ v_[336] = sin(v_[336]);
+ v_[330] = sin(v_[330]);
+ v_[171] = v_[336] * v_[330];
+ v_[36] = cos(v_[36]);
+ v_[370] = v_[341] * v_[96] + v_[171] * v_[36];
+ v_[323] = 2. * v_[370];
+ v_[330] = v_[4] * v_[330];
+ v_[336] = v_[336] * v_[375];
+ v_[375] = v_[330] * v_[36] - v_[336] * v_[96];
+ v_[4] = v_[323] * v_[375];
+ v_[336] = v_[336] * v_[36] + v_[330] * v_[96];
+ v_[330] = 2. * v_[336];
+ v_[36] = v_[341] * v_[36] - v_[171] * v_[96];
+ v_[171] = v_[330] * v_[36];
+ v_[96] = 0.5 * x_in[0];
+ v_[341] = cos(v_[96]);
+ v_[360] = 0.5 * x_in[1];
+ v_[22] = sin(v_[360]);
+ v_[1] = v_[341] * v_[22];
+ v_[98] = 0.5 * x_in[2];
+ v_[351] = cos(v_[98]);
+ v_[96] = sin(v_[96]);
+ v_[360] = cos(v_[360]);
+ v_[3] = v_[96] * v_[360];
+ v_[98] = sin(v_[98]);
+ v_[383] = v_[1] * v_[351] - v_[3] * v_[98];
+ v_[384] = 2. * v_[383];
+ v_[385] = v_[384] * v_[383];
+ v_[3] = v_[3] * v_[351] + v_[1] * v_[98];
+ v_[1] = 2. * v_[3];
+ v_[386] = v_[1] * v_[3];
+ v_[387] = 0.33 * v_[180];
+ v_[388] = sin(x_in[8]);
+ v_[389] = sin(x_in[7]);
+ v_[390] = sin(x_in[6]);
+ v_[391] = 0.207 + 0.33 * v_[390] * v_[389] * v_[388] - 0.33 * v_[390] * v_[219] * v_[220] - 0.35 * v_[390] * v_[219] - 0.08 * v_[390];
+ v_[392] = 0.3735 + -0.33 * v_[219] * v_[388] - 0.33 * v_[389] * v_[220] - 0.35 * v_[389];
+ v_[387] = (v_[387] * v_[219] * v_[388] + 0.33 * v_[180] * v_[389] * v_[220]) * x_in[26] + (v_[387] * v_[389] * v_[220] + 0.33 * v_[180] * v_[219] * v_[388] + 0.35 * v_[180] * v_[389]) * x_in[25] + (0.33 * v_[390] * v_[219] * v_[220] + -0.33 * v_[390] * v_[389] * v_[388] + 0.35 * v_[390] * v_[219] + 0.08 * v_[390]) * x_in[24] + x_in[23] + x_in[18] * v_[391] - x_in[19] * v_[392];
+ v_[360] = v_[341] * v_[360];
+ v_[96] = v_[96] * v_[22];
+ v_[22] = v_[360] * v_[98] + v_[96] * v_[351];
+ v_[341] = 2. * v_[22];
+ v_[383] = v_[341] * v_[383];
+ v_[96] = v_[360] * v_[351] - v_[96] * v_[98];
+ v_[1] = v_[1] * v_[96];
+ v_[360] = 0.33 * v_[390];
+ v_[98] = 0.33 * v_[180] * v_[389] * v_[388] - 0.33 * v_[180] * v_[219] * v_[220] - 0.35 * v_[180] * v_[219] - 0.08 * v_[180];
+ v_[360] = (v_[360] * v_[219] * v_[388] + 0.33 * v_[390] * v_[389] * v_[220]) * x_in[26] + (v_[360] * v_[389] * v_[220] + 0.33 * v_[390] * v_[219] * v_[388] + 0.35 * v_[390] * v_[389]) * x_in[25] + (0.33 * v_[180] * v_[389] * v_[388] - 0.33 * v_[180] * v_[219] * v_[220] - 0.35 * v_[180] * v_[219] - 0.08 * v_[180]) * x_in[24] + x_in[22] + x_in[20] * v_[392] - x_in[18] * v_[98];
+ v_[392] = v_[341] * v_[3];
+ v_[351] = v_[384] * v_[96];
+ v_[98] = (0.33 * v_[389] * v_[388] - 0.33 * v_[219] * v_[220]) * x_in[26] + (0.33 * v_[389] * v_[388] - 0.33 * v_[219] * v_[220] - 0.35 * v_[219]) * x_in[25] + x_in[21] + x_in[19] * v_[98] - x_in[20] * v_[391];
+ v_[391] = 0.5 * x_in[0];
+ v_[393] = cos(v_[391]);
+ v_[394] = 0.5 * x_in[1];
+ v_[395] = sin(v_[394]);
+ v_[396] = v_[393] * v_[395];
+ v_[397] = 0.5 * x_in[2];
+ v_[398] = cos(v_[397]);
+ v_[391] = sin(v_[391]);
+ v_[394] = cos(v_[394]);
+ v_[399] = v_[391] * v_[394];
+ v_[397] = sin(v_[397]);
+ v_[400] = v_[396] * v_[398] - v_[399] * v_[397];
+ v_[401] = 2. * v_[400];
+ v_[399] = v_[399] * v_[398] + v_[396] * v_[397];
+ v_[396] = 2. * v_[399];
+ v_[394] = v_[393] * v_[394];
+ v_[391] = v_[391] * v_[395];
+ v_[395] = 2. * (v_[394] * v_[397] + v_[391] * v_[398]);
+ v_[391] = v_[394] * v_[398] - v_[391] * v_[397];
+ v_[391] = (1 - v_[401] * v_[400] - v_[396] * v_[399]) * (0.33 * v_[180] * v_[389] * v_[388] - 0.33 * v_[180] * v_[219] * v_[220] - 0.35 * v_[180] * v_[219] - 0.08 * v_[180]) + (v_[395] * v_[400] + v_[396] * v_[391]) * (0.207 + 0.33 * v_[390] * v_[389] * v_[388] - 0.33 * v_[390] * v_[219] * v_[220] - 0.35 * v_[390] * v_[219] - 0.08 * v_[390]) + (v_[395] * v_[399] - v_[401] * v_[391]) * (0.3735 + -0.33 * v_[219] * v_[388] - 0.33 * v_[389] * v_[220] - 0.35 * v_[389]) + x_in[5];
+ v_[395] = 1 / (1 + exp(100. * v_[391]));
+ v_[391] = -1000. * ((1 - v_[385] - v_[386]) * v_[387] + (v_[383] + v_[1]) * v_[360] + (v_[392] - v_[351]) * v_[98]) * v_[395] + 5000. * exp(-100. * (v_[391] + 0.02));
+ v_[370] = v_[323] * v_[370];
+ v_[330] = v_[330] * v_[336];
+ v_[22] = v_[341] * v_[22];
+ v_[3] = v_[384] * v_[3];
+ v_[96] = v_[341] * v_[96];
+ v_[1] = -1000. * ((v_[383] - v_[1]) * v_[387] + (1 - v_[22] - v_[386]) * v_[360] + (v_[3] + v_[96]) * v_[98]) * v_[395];
+ v_[383] = 2. * v_[375];
+ v_[386] = v_[383] * v_[336];
+ v_[341] = v_[323] * v_[36];
+ v_[96] = -1000. * ((v_[392] + v_[351]) * v_[387] + (v_[3] - v_[96]) * v_[360] + (1 - v_[22] - v_[385]) * v_[98]) * v_[395];
+ v_[3] = (v_[4] + v_[171]) * v_[391] + (1 - v_[370] - v_[330]) * v_[1] + (v_[386] - v_[341]) * v_[96];
+ v_[22] = 0.207 + 0.33 * v_[265] * v_[244] * v_[222] - 0.33 * v_[265] * v_[219] * v_[220] - 0.35 * v_[265] * v_[219] - 0.08 * v_[265];
+ v_[336] = v_[323] * v_[336];
+ v_[36] = v_[383] * v_[36];
+ v_[383] = v_[383] * v_[375];
+ v_[341] = (v_[336] - v_[36]) * v_[391] + (v_[386] + v_[341]) * v_[1] + (1 - v_[370] - v_[383]) * v_[96];
+ v_[386] = v_[364] * v_[3] - v_[22] * v_[341];
+ v_[370] = 0.33 * v_[180] * v_[244] * v_[222] - 0.33 * v_[180] * v_[219] * v_[220] - 0.35 * v_[180] * v_[219] - 0.08 * v_[180];
+ v_[383] = (1 - v_[383] - v_[330]) * v_[391] + (v_[4] - v_[171]) * v_[1] + (v_[336] + v_[36]) * v_[96];
+ v_[364] = v_[370] * v_[341] - v_[364] * v_[383];
+ v_[170] = v_[250] * v_[170] - v_[165] * v_[340];
+ v_[36] = 0.1104774 * (v_[83] - v_[150]) + 0.025941 * v_[380] - (0 - v_[265]) * v_[386] - v_[180] * v_[364] - (0.3735 * v_[180] - 0.35 * v_[180] * v_[244]) * v_[383] - (0.3735 * v_[265] - 0.35 * v_[265] * v_[244]) * v_[3] - (0.08 + 0.35 * v_[219] - 0.207 * v_[265]) * v_[341] - 0.0004405 * v_[170];
+ v_[336] = x_in[38] - v_[36];
+ v_[96] = v_[180] * v_[219];
+ v_[1] = v_[180] * v_[244];
+ v_[330] = v_[96] * v_[222] + v_[1] * v_[220];
+ v_[391] = v_[265] * v_[219];
+ v_[171] = v_[265] * v_[244];
+ v_[4] = v_[171] * v_[220];
+ v_[375] = v_[244] * v_[222] - v_[219] * v_[220];
+ v_[323] = v_[165] * v_[165];
+ v_[395] = v_[151] * v_[151];
+ v_[98] = -0.881 * (v_[150] - v_[83]) + 0.1104774 * v_[380] + -8.81e-05 * v_[369] + 0.414812462825713 * v_[102] + 0.00185880198235362 * v_[363] + 8.81e-05 * v_[311] + (0.1104774 * v_[336]) / 0.026181 - v_[330] * v_[383] - (v_[391] * v_[222] + v_[4]) * v_[3] - v_[375] * v_[341] - 0.0004405 * (v_[323] + v_[395]);
+ v_[165] = v_[151] * v_[165];
+ v_[351] = (0 - v_[151]) * x_in[26];
+ v_[1] = v_[1] * v_[222] - v_[96] * v_[220];
+ v_[171] = v_[171] * v_[222];
+ v_[96] = v_[250] * v_[250];
+ v_[323] = 0.881 * v_[170] + -8.81e-05 * v_[165] + 0.0004405 * v_[380] + 0.00185880198235362 * v_[102] + 0.880992588508842 * v_[363] + -8.81e-05 * v_[351] + (-0.0004405 * v_[336]) / 0.026181 - v_[1] * v_[383] - (v_[171] - v_[391] * v_[220]) * v_[3] - ((0 - v_[219]) * v_[222] - v_[244] * v_[220]) * v_[341] - 0.1104774 * (v_[323] + v_[96]);
+ v_[391] = (0 - v_[179]) * x_in[25];
+ v_[380] = v_[148] * x_in[25];
+ v_[392] = (0 - v_[382]) * x_in[25];
+ v_[360] = v_[157] * x_in[25];
+ v_[387] = v_[179] * v_[39];
+ v_[197] = v_[148] * v_[197] - v_[39] * v_[157];
+ v_[385] = v_[148] * v_[39];
+ v_[384] = v_[148] * v_[148];
+ v_[396] = v_[179] * v_[179];
+ v_[36] = 0.47422804 * (v_[10] - v_[307]) + 0.081641 * v_[154] + 2.1e-05 * v_[387] + (0.026181 * v_[336]) / 0.026181 + v_[36] + v_[37] * v_[98] + v_[225] * v_[323] - -0.0825825 * v_[197] - 0.000102 * v_[385] - 0.007418 * (v_[384] - v_[396]);
+ v_[399] = x_in[37] - v_[36];
+ v_[39] = v_[39] * v_[39];
+ v_[10] = -3.146 * (v_[307] - v_[10]) + 0.47422804 * v_[154] + v_[220] * v_[98] + v_[222] * v_[323] + v_[230] * v_[391] + v_[243] * v_[380] + v_[255] * v_[392] + v_[254] * v_[360] + (v_[241] * v_[399]) / v_[232] - -0.0825825 * (v_[39] + v_[396]);
+ v_[197] = 3.146 * v_[197] + -0.0825825 * v_[154] + v_[372] * v_[98] + v_[220] * v_[323] + v_[247] * v_[391] + v_[224] * v_[380] + v_[254] * v_[392] + v_[235] * v_[360] + (v_[239] * v_[399]) / v_[232] - 0.47422804 * (v_[39] + v_[384]);
+ v_[323] = (0 - v_[359]) * x_in[24];
+ v_[98] = v_[312] * x_in[24];
+ v_[254] = (0 - v_[368]) * x_in[24];
+ v_[235] = v_[54] * x_in[24];
+ v_[307] = v_[359] * v_[312];
+ v_[255] = v_[215] * v_[368];
+ v_[361] = v_[359] * v_[361];
+ v_[215] = v_[359] * v_[215];
+ v_[401] = v_[265] * v_[219];
+ v_[370] = v_[22] * v_[383] - v_[370] * v_[3];
+ v_[22] = 0.207 * v_[180];
+ v_[340] = v_[151] * v_[340] - v_[250] * v_[321];
+ v_[375] = -8.81e-05 * v_[170] + -8.81e-05 * v_[363] + 0.026409 * v_[351] - v_[330] * v_[386] - (v_[401] * v_[222] + v_[4]) * v_[364] - v_[375] * v_[370] - (((0.08 * v_[265] - 0.207) * v_[244] + 0.3735 * v_[265] * v_[219]) * v_[222] + ((0.207 - 0.08 * v_[265]) * v_[219] + 0.3735 * v_[265] * v_[244] - 0.35 * v_[265]) * v_[220]) * v_[383] - ((-0.08 * v_[180] * v_[244] - 0.3735 * v_[180] * v_[219]) * v_[222] + (0.08 * v_[180] * v_[219] + -0.3735 * v_[180] * v_[244] + 0.35 * v_[180]) * v_[220]) * v_[3] - (v_[22] * v_[219] * v_[222] + 0.207 * v_[180] * v_[244] * v_[220]) * v_[341] - 0.1104774 * v_[340] - 0.025713 * v_[165];
+ v_[22] = 0.0004405 * v_[340] + -8.81e-05 * (v_[150] - v_[83]) + -0.000227999999999999 * v_[369] + 8.81e-05 * v_[102] + 0.000468 * v_[311] - v_[1] * v_[386] - (v_[171] - v_[401] * v_[220]) * v_[364] - ((0 - v_[219]) * v_[222] - v_[244] * v_[220]) * v_[370] - (((0.207 - 0.08 * v_[265]) * v_[219] + 0.3735 * v_[265] * v_[244] - 0.35 * v_[265]) * v_[222] + ((0.207 - 0.08 * v_[265]) * v_[244] - 0.3735 * v_[265] * v_[219]) * v_[220]) * v_[383] - ((0.08 * v_[180] * v_[219] + -0.3735 * v_[180] * v_[244] + 0.35 * v_[180]) * v_[222] + (0.08 * v_[180] * v_[244] + 0.3735 * v_[180] * v_[219]) * v_[220]) * v_[3] - (v_[22] * v_[244] * v_[222] - 0.207 * v_[180] * v_[219] * v_[220]) * v_[341];
+ v_[340] = 0.881 * v_[340] + 0.1104774 * v_[165] + 0.0004405 * v_[369] + -0.1104774 * v_[351] + 0.0004405 * v_[311] - (0 - v_[265]) * v_[383] - v_[180] * v_[3] - -8.81e-05 * (v_[96] + v_[395]);
+ v_[157] = v_[179] * v_[157] - v_[148] * v_[382];
+ v_[396] = 0.007418 * v_[385] + 0.000102 * (v_[39] - v_[396]) + v_[220] * v_[375] + v_[222] * v_[22] + -0.35 * v_[340] + v_[238] * v_[391] + v_[227] * v_[380] + v_[230] * v_[392] + v_[247] * v_[360] + (v_[226] * v_[399]) / v_[232] - 0.47422804 * v_[157] - 0.084376 * v_[387] - 2.1e-05 * v_[154];
+ v_[22] = 0.002735 * v_[385] + -0.0825825 * v_[157] + 0.000102 * v_[154] + v_[223] * v_[375] + v_[220] * v_[22] + v_[227] * v_[391] + v_[221] * v_[380] + v_[243] * v_[392] + v_[224] * v_[360] + (v_[231] * v_[399]) / v_[232] - 0.007418 * v_[387] - 2.1e-05 * (v_[39] - v_[384]);
+ v_[157] = 0.47422804 * v_[387] + 3.146 * v_[157] + -0.0825825 * v_[385] + v_[340] + v_[240] * v_[391] + v_[234] * v_[380];
+ v_[340] = v_[312] * v_[312];
+ v_[385] = 0.009466 * v_[307] + 0.1466472 * (v_[255] - v_[361]) + -5.1e-05 * v_[215] + v_[219] * v_[396] + v_[244] * v_[22] + -0.08 * v_[157] - -0.022734 * v_[90] - -3.6e-05 * (v_[340] - v_[381]);
+ v_[387] = x_in[36] - v_[385];
+ v_[368] = v_[359] * v_[54] - v_[312] * v_[368];
+ v_[36] = 0.5824264 * v_[182] + -3.6e-05 * v_[90] + -0.022734 * (v_[110] - v_[381]) + v_[155] * v_[10] + v_[249] * v_[197] + -1 * (v_[36] + (v_[232] * v_[399]) / v_[232]) + v_[271] * v_[323] + v_[228] * v_[98] + v_[273] * v_[254] + v_[270] * v_[235] + (v_[290] * v_[387]) / v_[258] - 0.1466472 * v_[368] - -0.123672 * v_[215] - -5.1e-05 * v_[307];
+ v_[22] = -0.133138 * v_[90] + 0.5824264 * (v_[361] - v_[255]) + -0.022734 * v_[307] + v_[245] * v_[396] + v_[219] * v_[22] + v_[228] * v_[323] + v_[252] * v_[98] + v_[283] * v_[254] + v_[262] * v_[235] + (v_[233] * v_[387]) / v_[258] - -3.6e-05 * v_[215] - -5.1e-05 * (v_[110] - v_[340]);
+ v_[368] = 3.44 * v_[368] + 0.1466472 * v_[215] + v_[219] * v_[10] + v_[244] * v_[197] + v_[251] * v_[323] + v_[236] * v_[98] + v_[286] * v_[254] + v_[280] * v_[235] + (v_[259] * v_[387]) / v_[258] - 0.5824264 * (v_[340] + v_[381]);
+ v_[157] = 0.1466472 * v_[307] + -3.44 * (v_[361] - v_[255]) + 0.5824264 * v_[90] + -1 * v_[157] + v_[273] * v_[323] + v_[283] * v_[98] + v_[285] * v_[254] + v_[274] * v_[235] + (v_[272] * v_[387]) / v_[258];
+ v_[340] = 3.44 * v_[182] + 0.5824264 * v_[215] + v_[174] * v_[10] + v_[219] * v_[197] + v_[270] * v_[323] + v_[262] * v_[98] + v_[274] * v_[254] + v_[278] * v_[235] + (v_[260] * v_[387]) / v_[258] - 0.1466472 * (v_[110] + v_[340]);
+ v_[215] = x_in[19] * x_in[23] - x_in[20] * x_in[22];
+ v_[197] = x_in[19] * x_in[20];
+ v_[10] = x_in[19] * x_in[19];
+ v_[110] = x_in[18] * x_in[18];
+ v_[67] = v_[52] * v_[48] + v_[67] * v_[9];
+ v_[124] = v_[139] * v_[121] + v_[124] * v_[26];
+ v_[210] = v_[195] * v_[191] + v_[210] * v_[108];
+ v_[269] = v_[284] * v_[266] + v_[269] * v_[169];
+ v_[277] = 0.190812 + v_[60] + v_[132] + v_[203] + v_[277];
+ v_[45] = v_[50] * v_[45] + v_[48] * v_[71];
+ v_[116] = v_[26] * v_[116] + v_[120] * v_[143];
+ v_[188] = v_[193] * v_[188] + v_[191] * v_[214];
+ v_[261] = v_[169] * v_[261] + v_[265] * v_[288];
+ v_[288] = (-0.00571 + v_[45] + v_[116] + v_[188] + v_[261]) / v_[229];
+ v_[214] = 0.012668 + v_[67] + v_[124] + v_[210] + v_[269] - v_[277] * v_[288];
+ v_[143] = x_in[20] * x_in[20];
+ v_[71] = x_in[18] * x_in[22] - x_in[19] * x_in[21];
+ v_[261] = -0.00571 + v_[45] + v_[116] + v_[188] + v_[261];
+ v_[385] = (-0.0053433 * v_[71] + 2.0678571 * (v_[298] - v_[156]) + 0.473273 * v_[197] + 0.190812 * v_[97] + (v_[42] * v_[313]) / v_[42] + v_[325] + v_[289] * v_[318] + v_[47] * v_[333] + v_[72] * v_[14] + v_[118] * v_[306] + -1 * (v_[324] + (v_[113] * v_[371]) / v_[113]) + (v_[185] * v_[100]) / v_[185] + v_[8] + v_[144] * v_[101] + v_[190] * v_[320] + v_[237] * v_[157] + v_[263] * v_[340] + -1 * (v_[385] + (v_[258] * v_[387]) / v_[258]) - -0.00571 * v_[296] - 0.012668 * (v_[143] - v_[10])) / v_[229];
+ v_[264] = 5.5837 + v_[293] + v_[73] + v_[295] + v_[119] + v_[297] + v_[216] + v_[299] + v_[264] - v_[261] * v_[288];
+ v_[216] = (2.0678571 * v_[215] + -0.00571 * v_[197] + 0.190812 * (v_[143] - v_[110]) + v_[9] * v_[339] + v_[48] * v_[335] + v_[49] * v_[318] + v_[303] * v_[333] + v_[26] * v_[346] + v_[121] * v_[337] + v_[122] * v_[14] + v_[24] * v_[306] + v_[108] * v_[326] + v_[191] * v_[343] + v_[192] * v_[101] + v_[126] * v_[320] + v_[169] * v_[36] + v_[266] * v_[22] + v_[267] * v_[157] + v_[167] * v_[340] - -1.1915559 * v_[71] - 4.847485 * v_[296] - 0.012668 * v_[97] - v_[261] * v_[385]) / v_[264];
+ v_[269] = (0.012668 + v_[67] + v_[124] + v_[210] + v_[269] - v_[261] * v_[300]) / v_[264];
+ v_[248] = 6.056973 + v_[293] + v_[33] + v_[295] + v_[103] + v_[297] + v_[176] + v_[299] + v_[248] - v_[214] * v_[269] - v_[277] * v_[300];
+ v_[22] = (-1.1915559 * (v_[156] - v_[298]) + 4.374212 * v_[97] + 0.012668 * v_[296] + v_[48] * v_[339] + v_[50] * v_[335] + 0.207 * v_[305] + v_[51] * v_[318] + v_[302] * v_[333] + v_[120] * v_[346] + v_[26] * v_[337] + 0.207 * v_[256] + v_[123] * v_[14] + v_[13] * v_[306] + v_[191] * v_[326] + v_[193] * v_[343] + 0.207 * v_[294] + v_[194] * v_[101] + v_[107] * v_[320] + v_[265] * v_[36] + v_[169] * v_[22] + 0.207 * v_[368] + v_[268] * v_[157] + v_[310] * v_[340] - -0.0053433 * v_[215] - 0.190812 * v_[197] - -0.00571 * (v_[10] - v_[110]) - v_[214] * v_[216] - v_[277] * v_[385]) / v_[248];
+ v_[75] = v_[64] - v_[75];
+ v_[65] = v_[46] + v_[65] - v_[75];
+ v_[59] = v_[59] + v_[53];
+ v_[53] = v_[50] * v_[65] + v_[48] * v_[59];
+ v_[70] = v_[70] + v_[66];
+ v_[58] = v_[56] + v_[58] - v_[75];
+ v_[56] = v_[50] * v_[70] + v_[48] * v_[58];
+ v_[66] = v_[53] * v_[48] + v_[56] * v_[9];
+ v_[146] = v_[136] - v_[146];
+ v_[137] = v_[117] + v_[137] - v_[146];
+ v_[131] = v_[131] + v_[125];
+ v_[125] = v_[26] * v_[137] + v_[120] * v_[131];
+ v_[142] = v_[142] + v_[138];
+ v_[130] = v_[128] + v_[130] - v_[146];
+ v_[128] = v_[26] * v_[142] + v_[120] * v_[130];
+ v_[138] = v_[125] * v_[121] + v_[128] * v_[26];
+ v_[218] = v_[207] - v_[218];
+ v_[208] = v_[189] + v_[208] - v_[218];
+ v_[202] = v_[202] + v_[196];
+ v_[196] = v_[193] * v_[208] + v_[191] * v_[202];
+ v_[213] = v_[213] + v_[209];
+ v_[201] = v_[199] + v_[201] - v_[218];
+ v_[199] = v_[193] * v_[213] + v_[191] * v_[201];
+ v_[209] = v_[196] * v_[191] + v_[199] * v_[108];
+ v_[291] = v_[281] - v_[291];
+ v_[282] = v_[262] + v_[282] - v_[291];
+ v_[276] = v_[276] + v_[270];
+ v_[270] = v_[169] * v_[282] + v_[265] * v_[276];
+ v_[287] = v_[287] + v_[283];
+ v_[275] = v_[273] + v_[275] - v_[291];
+ v_[273] = v_[169] * v_[287] + v_[265] * v_[275];
+ v_[283] = v_[270] * v_[266] + v_[273] * v_[169];
+ v_[130] = v_[121] * v_[142] + v_[26] * v_[130];
+ v_[131] = v_[121] * v_[137] + v_[26] * v_[131];
+ v_[137] = v_[130] * v_[26] + v_[131] * v_[121] + v_[146];
+ v_[58] = v_[48] * v_[70] + v_[9] * v_[58];
+ v_[59] = v_[48] * v_[65] + v_[9] * v_[59];
+ v_[65] = v_[58] * v_[9] + v_[59] * v_[48] + v_[75];
+ v_[201] = v_[191] * v_[213] + v_[108] * v_[201];
+ v_[202] = v_[191] * v_[208] + v_[108] * v_[202];
+ v_[208] = v_[201] * v_[108] + v_[202] * v_[191] + v_[218];
+ v_[275] = v_[266] * v_[287] + v_[169] * v_[275];
+ v_[276] = v_[266] * v_[282] + v_[169] * v_[276];
+ v_[282] = v_[275] * v_[169] + v_[276] * v_[266] + v_[291];
+ v_[253] = v_[253] + v_[35];
+ v_[292] = v_[292] + v_[253];
+ v_[30] = v_[30] + v_[20];
+ v_[242] = v_[242] + v_[30];
+ v_[253] = 0 - v_[253];
+ v_[20] = v_[50] * v_[253] + v_[48] * v_[30];
+ v_[35] = v_[292] * v_[9] + v_[242] * v_[48] - v_[20];
+ v_[21] = v_[21] + v_[106];
+ v_[40] = -1 * (v_[40] + v_[21]);
+ v_[99] = v_[99] + v_[85];
+ v_[41] = -1 * (v_[41] + v_[99]);
+ v_[21] = 0 - v_[21];
+ v_[85] = v_[26] * v_[21] + v_[120] * v_[99];
+ v_[106] = v_[40] * v_[26] + v_[41] * v_[121] - v_[85];
+ v_[86] = v_[86] + v_[178];
+ v_[111] = v_[111] + v_[86];
+ v_[173] = v_[173] + v_[163];
+ v_[112] = v_[112] + v_[173];
+ v_[86] = 0 - v_[86];
+ v_[163] = v_[193] * v_[86] + v_[191] * v_[173];
+ v_[178] = v_[111] * v_[108] + v_[112] * v_[191] - v_[163];
+ v_[164] = v_[164] + v_[251];
+ v_[183] = -1 * (v_[183] + v_[164]);
+ v_[246] = v_[246] + v_[236];
+ v_[184] = -1 * (v_[184] + v_[246]);
+ v_[164] = 0 - v_[164];
+ v_[236] = v_[169] * v_[164] + v_[265] * v_[246];
+ v_[251] = v_[183] * v_[169] + v_[184] * v_[266] - v_[236];
+ v_[287] = (-2.0678571 + v_[35] + v_[106] + v_[178] + v_[251]) / v_[229];
+ v_[213] = (v_[137] + v_[65] + v_[208] + v_[282] - v_[261] * v_[287]) / v_[264];
+ v_[70] = (-1.1915559 + v_[66] + v_[138] + v_[209] + v_[283] - v_[214] * v_[213] - v_[277] * v_[287]) / v_[248];
+ v_[251] = -2.0678571 + v_[35] + v_[106] + v_[178] + v_[251];
+ v_[282] = v_[137] + v_[65] + v_[208] + v_[282] - v_[251] * v_[288];
+ v_[283] = -1.1915559 + v_[66] + v_[138] + v_[209] + v_[283] - v_[282] * v_[269] - v_[251] * v_[300];
+ v_[141] = 0 - v_[141];
+ v_[209] = v_[26] * v_[141] + v_[120] * v_[135];
+ v_[69] = 0 - v_[69];
+ v_[138] = v_[50] * v_[69] + v_[48] * v_[63];
+ v_[212] = 0 - v_[212];
+ v_[66] = v_[193] * v_[212] + v_[191] * v_[206];
+ v_[286] = 0 - v_[286];
+ v_[208] = v_[169] * v_[286] + v_[265] * v_[280];
+ v_[65] = (v_[146] + v_[75] + v_[218] + v_[291]) / v_[229];
+ v_[137] = (2.0678571 + v_[20] + v_[85] + v_[163] + v_[236] - v_[261] * v_[65]) / v_[264];
+ v_[253] = v_[48] * v_[253] + v_[9] * v_[30];
+ v_[30] = 0 - v_[253];
+ v_[21] = v_[121] * v_[21] + v_[26] * v_[99];
+ v_[99] = 0 - v_[21];
+ v_[86] = v_[191] * v_[86] + v_[108] * v_[173];
+ v_[173] = 0 - v_[86];
+ v_[164] = v_[266] * v_[164] + v_[169] * v_[246];
+ v_[246] = 0 - v_[164];
+ v_[178] = (0.0053433 + v_[30] + v_[99] + v_[173] + v_[246] - v_[214] * v_[137] - v_[277] * v_[65]) / v_[248];
+ v_[106] = v_[209] + v_[138] + v_[66] + v_[208] - v_[282] * v_[137] - v_[251] * v_[65] - v_[283] * v_[178];
+ v_[35] = v_[146] + v_[75] + v_[218] + v_[291];
+ v_[236] = 2.0678571 + v_[20] + v_[85] + v_[163] + v_[236] - v_[35] * v_[288];
+ v_[246] = 0.0053433 + v_[30] + v_[99] + v_[173] + v_[246] - v_[236] * v_[269] - v_[35] * v_[300];
+ v_[68] = v_[68] - v_[62];
+ v_[61] = v_[61] - v_[62];
+ v_[140] = v_[140] - v_[134];
+ v_[133] = v_[133] - v_[134];
+ v_[211] = v_[211] - v_[205];
+ v_[204] = v_[204] - v_[205];
+ v_[285] = v_[285] - v_[279];
+ v_[278] = v_[278] - v_[279];
+ v_[173] = v_[48] * v_[57];
+ v_[99] = (v_[48] * v_[61] + v_[9] * v_[57]) * v_[48] + (v_[173] + v_[9] * v_[68]) * v_[9];
+ v_[173] = v_[50] * v_[61] + v_[173];
+ v_[57] = v_[50] * v_[57] + v_[48] * v_[68];
+ v_[30] = v_[173] * v_[50] + v_[57] * v_[48];
+ v_[163] = v_[26] * v_[129];
+ v_[85] = (v_[121] * v_[133] + v_[163]) * v_[121] + (v_[121] * v_[129] + v_[26] * v_[140]) * v_[26];
+ v_[129] = v_[26] * v_[133] + v_[120] * v_[129];
+ v_[163] = v_[163] + v_[120] * v_[140];
+ v_[20] = v_[129] * v_[26] + v_[163] * v_[120];
+ v_[142] = v_[191] * v_[200];
+ v_[262] = (v_[191] * v_[204] + v_[108] * v_[200]) * v_[191] + (v_[142] + v_[108] * v_[211]) * v_[108];
+ v_[142] = v_[193] * v_[204] + v_[142];
+ v_[200] = v_[193] * v_[200] + v_[191] * v_[211];
+ v_[281] = v_[142] * v_[193] + v_[200] * v_[191];
+ v_[189] = v_[169] * v_[274];
+ v_[207] = (v_[266] * v_[278] + v_[189]) * v_[266] + (v_[266] * v_[274] + v_[169] * v_[285]) * v_[169];
+ v_[274] = v_[169] * v_[278] + v_[265] * v_[274];
+ v_[189] = v_[189] + v_[265] * v_[285];
+ v_[117] = v_[274] * v_[169] + v_[189] * v_[265];
+ v_[278] = 53.433 + v_[68] + v_[61] + v_[62] + v_[140] + v_[133] + v_[134] + v_[211] + v_[204] + v_[205] + v_[285] + v_[278] + v_[279] - v_[99] - v_[30] - v_[85] - v_[20] - v_[262] - v_[281] - v_[207] - v_[117] - v_[236] * v_[137] - v_[35] * v_[65] - v_[246] * v_[178];
+ v_[215] = (53.433 * v_[215] + 2.0678571 * v_[296] + -0.0053433 * v_[97] + v_[305] + -1 * v_[256] + v_[294] + -1 * v_[368] - -1.1915559 * (v_[143] + v_[10]) - v_[236] * v_[216] - v_[35] * v_[385] - v_[246] * v_[22]) / v_[278];
+ v_[208] = (v_[209] + v_[138] + v_[66] + v_[208] - v_[236] * v_[213] - v_[35] * v_[287] - v_[246] * v_[70]) / v_[278];
+ v_[207] = 53.433 + v_[62] + v_[99] + v_[134] + v_[85] + v_[205] + v_[262] + v_[279] + v_[207] - v_[282] * v_[213] - v_[251] * v_[287] - v_[283] * v_[70] - v_[106] * v_[208];
+ v_[143] = (-53.433 * (v_[298] - v_[156]) + -1.1915559 * v_[97] + 2.0678571 * v_[197] + v_[9] * v_[318] + v_[48] * v_[333] + v_[105] * v_[14] + v_[352] * v_[306] + v_[108] * v_[101] + v_[191] * v_[320] + v_[309] * v_[157] + v_[374] * v_[340] - -0.0053433 * (v_[143] + v_[110]) - v_[282] * v_[216] - v_[251] * v_[385] - v_[283] * v_[22] - v_[106] * v_[215]) / v_[207];
+ v_[163] = v_[129] * v_[121] + v_[163] * v_[26];
+ v_[57] = v_[173] * v_[48] + v_[57] * v_[9];
+ v_[200] = v_[142] * v_[191] + v_[200] * v_[108];
+ v_[189] = v_[274] * v_[266] + v_[189] * v_[169];
+ v_[59] = v_[59] * v_[50] + v_[58] * v_[48];
+ v_[131] = v_[131] * v_[26] + v_[130] * v_[120];
+ v_[202] = v_[202] * v_[193] + v_[201] * v_[191];
+ v_[276] = v_[276] * v_[169] + v_[275] * v_[265];
+ v_[253] = v_[292] * v_[48] + v_[242] * v_[50] + v_[253];
+ v_[21] = v_[40] * v_[120] + v_[41] * v_[26] + v_[21];
+ v_[86] = v_[111] * v_[191] + v_[112] * v_[193] + v_[86];
+ v_[164] = v_[183] * v_[265] + v_[184] * v_[169] + v_[164];
+ v_[229] = (-0.0053433 + v_[253] + v_[21] + v_[86] + v_[164]) / v_[229];
+ v_[264] = (1.1915559 + v_[59] + v_[131] + v_[202] + v_[276] - v_[261] * v_[229]) / v_[264];
+ v_[128] = v_[128] * v_[120] + v_[125] * v_[26] + v_[146];
+ v_[56] = v_[56] * v_[48] + v_[53] * v_[50] + v_[75];
+ v_[199] = v_[199] * v_[191] + v_[196] * v_[193] + v_[218];
+ v_[273] = v_[273] * v_[265] + v_[270] * v_[169] + v_[291];
+ v_[248] = (v_[128] + v_[56] + v_[199] + v_[273] - v_[214] * v_[264] - v_[277] * v_[229]) / v_[248];
+ v_[141] = 0 - v_[26] * v_[135] - v_[121] * v_[141];
+ v_[69] = 0 - v_[9] * v_[63] - v_[48] * v_[69];
+ v_[212] = 0 - v_[108] * v_[206] - v_[191] * v_[212];
+ v_[286] = 0 - v_[169] * v_[280] - v_[266] * v_[286];
+ v_[278] = (v_[141] + v_[69] + v_[212] + v_[286] - v_[236] * v_[264] - v_[35] * v_[229] - v_[246] * v_[248]) / v_[278];
+ v_[207] = (v_[163] + v_[57] + v_[200] + v_[189] - v_[282] * v_[264] - v_[251] * v_[229] - v_[283] * v_[248] - v_[106] * v_[278]) / v_[207];
+ v_[164] = -0.0053433 + v_[253] + v_[21] + v_[86] + v_[164];
+ v_[276] = 1.1915559 + v_[59] + v_[131] + v_[202] + v_[276] - v_[164] * v_[288];
+ v_[273] = v_[128] + v_[56] + v_[199] + v_[273] - v_[276] * v_[269] - v_[164] * v_[300];
+ v_[286] = v_[141] + v_[69] + v_[212] + v_[286] - v_[276] * v_[137] - v_[164] * v_[65] - v_[273] * v_[178];
+ v_[189] = v_[163] + v_[57] + v_[200] + v_[189] - v_[276] * v_[213] - v_[164] * v_[287] - v_[273] * v_[70] - v_[286] * v_[208];
+ v_[189] = (53.433 * v_[71] + -1.1915559 * v_[296] + -0.0053433 * v_[197] + v_[48] * v_[318] + v_[304] * v_[333] + v_[120] * v_[14] + v_[18] * v_[306] + v_[191] * v_[101] + v_[257] * v_[320] + v_[265] * v_[157] + v_[161] * v_[340] - 2.0678571 * (v_[10] + v_[110]) - v_[276] * v_[216] - v_[164] * v_[385] - v_[273] * v_[22] - v_[286] * v_[215] - v_[189] * v_[143]) / (53.433 + v_[62] + v_[30] + v_[134] + v_[20] + v_[205] + v_[281] + v_[279] + v_[117] - v_[276] * v_[264] - v_[164] * v_[229] - v_[273] * v_[248] - v_[286] * v_[278] - v_[189] * v_[207]);
+ v_[207] = v_[143] - v_[207] * v_[189];
+ v_[278] = v_[215] - v_[278] * v_[189] - v_[208] * v_[207];
+ v_[248] = v_[22] - v_[70] * v_[207] - v_[178] * v_[278] - v_[248] * v_[189];
+ forwardZero[20] = 0 - v_[248];
+ v_[264] = v_[216] - v_[137] * v_[278] - v_[269] * v_[248] - v_[213] * v_[207] - v_[264] * v_[189];
+ forwardZero[18] = v_[300] * v_[248] + v_[288] * v_[264] + v_[65] * v_[278] + v_[287] * v_[207] + v_[229] * v_[189] - v_[385];
+ forwardZero[19] = 0 - v_[264];
+ v_[278] = 0 - v_[278];
+ v_[264] = 0.5 * x_in[0];
+ v_[248] = cos(v_[264]);
+ v_[229] = 0.5 * x_in[1];
+ v_[65] = cos(v_[229]);
+ v_[287] = v_[248] * v_[65];
+ v_[385] = 0.5 * x_in[2];
+ v_[288] = sin(v_[385]);
+ v_[264] = sin(v_[264]);
+ v_[229] = sin(v_[229]);
+ v_[300] = v_[264] * v_[229];
+ v_[385] = cos(v_[385]);
+ v_[137] = 2. * (v_[287] * v_[288] + v_[300] * v_[385]);
+ v_[264] = v_[264] * v_[65];
+ v_[229] = v_[248] * v_[229];
+ v_[248] = v_[264] * v_[385] + v_[229] * v_[288];
+ v_[229] = v_[229] * v_[385] - v_[264] * v_[288];
+ v_[264] = 2. * v_[229];
+ v_[385] = v_[287] * v_[385] - v_[300] * v_[288];
+ forwardZero[21] = v_[278] + -9.81 * (v_[137] * v_[248] - v_[264] * v_[385]);
+ v_[207] = 0 - v_[207];
+ v_[300] = 2. * v_[248];
+ forwardZero[22] = v_[207] + -9.81 * (v_[137] * v_[229] + v_[300] * v_[385]);
+ v_[189] = 0 - v_[189];
+ forwardZero[23] = v_[189] + -9.81 * (1 - v_[264] * v_[229] - v_[300] * v_[248]);
+ v_[300] = -1 * forwardZero[18];
+ v_[323] = v_[265] * forwardZero[20] + v_[169] * forwardZero[19] + v_[323];
+ v_[98] = v_[169] * forwardZero[20] + v_[266] * forwardZero[19] + v_[98];
+ v_[266] = -1 * v_[278];
+ v_[169] = 0.207 * forwardZero[20] + v_[266];
+ v_[235] = v_[310] * forwardZero[20] + v_[167] * forwardZero[19] + v_[263] * forwardZero[18] + v_[161] * v_[189] + v_[374] * v_[207] + v_[235];
+ forwardZero[24] = (v_[387] - v_[258] * v_[300] - v_[290] * v_[323] - v_[233] * v_[98] - v_[259] * v_[169] - v_[272] * (v_[268] * forwardZero[20] + v_[267] * forwardZero[19] + v_[237] * forwardZero[18] + v_[265] * v_[189] + v_[309] * v_[207] + v_[254]) - v_[260] * v_[235]) / v_[258];
+ v_[387] = -1 * v_[323];
+ v_[254] = v_[300] + forwardZero[24];
+ v_[392] = v_[219] * v_[169] + v_[174] * v_[235] + v_[155] * v_[323] + v_[392];
+ v_[235] = v_[244] * v_[169] + v_[219] * v_[235] + v_[249] * v_[323] + v_[360];
+ forwardZero[25] = (v_[399] - v_[232] * v_[387] - v_[226] * (v_[219] * v_[254] + v_[245] * v_[98] + v_[391]) - v_[231] * (v_[244] * v_[254] + v_[219] * v_[98] + v_[380]) - v_[241] * v_[392] - v_[239] * v_[235]) / v_[232];
+ v_[387] = v_[387] + forwardZero[25];
+ forwardZero[26] = (v_[336] - 0.1104774 * (v_[220] * v_[392] + v_[372] * v_[235] + v_[37] * v_[387] + v_[102]) - -0.0004405 * (v_[222] * v_[392] + v_[220] * v_[235] + v_[225] * v_[387] + v_[363]) - 0.026181 * v_[387]) / 0.026181;
+ v_[377] = v_[191] * forwardZero[20] + v_[108] * forwardZero[19] + v_[377];
+ v_[362] = v_[193] * forwardZero[20] + v_[191] * forwardZero[19] + v_[362];
+ v_[193] = 0.207 * forwardZero[20] + v_[278];
+ v_[162] = v_[107] * forwardZero[20] + v_[126] * forwardZero[19] + v_[190] * forwardZero[18] + v_[257] * v_[189] + v_[191] * v_[207] + v_[162];
+ forwardZero[27] = (v_[100] - v_[185] * forwardZero[18] - v_[217] * v_[377] - v_[160] * v_[362] - v_[186] * v_[193] - v_[198] * (v_[194] * forwardZero[20] + v_[192] * forwardZero[19] + v_[144] * forwardZero[18] + v_[191] * v_[189] + v_[108] * v_[207] + v_[181]) - v_[187] * v_[162]) / v_[185];
+ v_[100] = forwardZero[18] + forwardZero[27];
+ v_[378] = v_[87] * v_[193] + v_[93] * v_[162] + v_[89] * v_[377] + v_[378];
+ v_[162] = v_[80] * v_[193] + v_[92] * v_[162] + v_[177] * v_[377] + v_[379];
+ forwardZero[28] = (v_[366] - v_[159] * v_[377] - v_[153] * (v_[175] * v_[100] + v_[172] * v_[362] + v_[376]) - v_[158] * (v_[172] * v_[100] + v_[92] * v_[362] + v_[373]) - v_[168] * v_[378] - v_[166] * v_[162]) / v_[159];
+ v_[377] = v_[377] + forwardZero[28];
+ forwardZero[29] = (v_[319] - 0.1104774 * (v_[147] * v_[378] + v_[367] * v_[162] + v_[365] * v_[377] + v_[322]) - -0.0004405 * (v_[149] * v_[378] + v_[147] * v_[162] + v_[152] * v_[377] + v_[338]) - 0.026181 * v_[377]) / 0.026181;
+ v_[28] = v_[120] * forwardZero[20] + v_[26] * forwardZero[19] + v_[28];
+ v_[308] = v_[26] * forwardZero[20] + v_[121] * forwardZero[19] + v_[308];
+ v_[266] = 0.207 * forwardZero[20] + v_[266];
+ v_[84] = v_[13] * forwardZero[20] + v_[24] * forwardZero[19] + v_[118] * forwardZero[18] + v_[18] * v_[189] + v_[352] * v_[207] + v_[84];
+ forwardZero[30] = (v_[371] - v_[113] * v_[300] - v_[145] * v_[28] - v_[82] * v_[308] - v_[114] * v_[266] - v_[127] * (v_[123] * forwardZero[20] + v_[122] * forwardZero[19] + v_[72] * forwardZero[18] + v_[120] * v_[189] + v_[105] * v_[207] + v_[109]) - v_[115] * v_[84]) / v_[113];
+ v_[371] = -1 * v_[28];
+ v_[300] = v_[300] + forwardZero[30];
+ v_[331] = v_[76] * v_[266] + v_[31] * v_[84] + v_[12] * v_[28] + v_[331];
+ v_[84] = v_[94] * v_[266] + v_[76] * v_[84] + v_[104] * v_[28] + v_[11];
+ forwardZero[31] = (v_[350] - v_[81] * v_[371] - 2.1e-05 * (v_[76] * v_[300] + v_[95] * v_[308] + v_[27]) - -0.000102 * (v_[94] * v_[300] + v_[76] * v_[308] + v_[358]) - v_[91] * v_[331] - v_[88] * v_[84]) / v_[81];
+ v_[371] = v_[371] + forwardZero[31];
+ forwardZero[32] = (v_[342] - 0.110125 * (v_[79] * v_[331] + v_[314] * v_[84] + v_[345] * v_[371] + v_[355]) - 0.000881 * (v_[77] * v_[331] + v_[79] * v_[84] + v_[78] * v_[371] + v_[354]) - 0.026181 * v_[371]) / 0.026181;
+ v_[348] = v_[48] * forwardZero[20] + v_[9] * forwardZero[19] + v_[348];
+ v_[344] = v_[50] * forwardZero[20] + v_[48] * forwardZero[19] + v_[344];
+ v_[278] = 0.207 * forwardZero[20] + v_[278];
+ v_[19] = v_[302] * forwardZero[20] + v_[303] * forwardZero[19] + v_[47] * forwardZero[18] + v_[304] * v_[189] + v_[48] * v_[207] + v_[19];
+ forwardZero[33] = (v_[313] - v_[42] * forwardZero[18] - v_[74] * v_[348] - v_[17] * v_[344] - v_[43] * v_[278] - v_[55] * (v_[51] * forwardZero[20] + v_[49] * forwardZero[19] + v_[289] * forwardZero[18] + v_[48] * v_[189] + v_[9] * v_[207] + v_[38]) - v_[44] * v_[19]) / v_[42];
+ v_[189] = forwardZero[18] + forwardZero[33];
+ v_[356] = v_[315] * v_[278] + v_[316] * v_[19] + v_[317] * v_[348] + v_[356];
+ v_[19] = v_[301] * v_[278] + v_[5] * v_[19] + v_[34] * v_[348] + v_[357];
+ forwardZero[34] = (v_[349] - v_[16] * v_[348] - v_[6] * (v_[32] * v_[189] + v_[29] * v_[344] + v_[347]) - v_[15] * (v_[29] * v_[189] + v_[5] * v_[344] + v_[353]) - v_[25] * v_[356] - v_[23] * v_[19]) / v_[16];
+ v_[348] = v_[348] + forwardZero[34];
+ forwardZero[35] = (v_[329] - 0.1104774 * (v_[2] * v_[356] + v_[332] * v_[19] + v_[327] * v_[348] + v_[334]) - 0.0004405 * (v_[7] * v_[356] + v_[2] * v_[19] + v_[0] * v_[348] + v_[328]) - 0.026181 * v_[348]) / 0.026181;
+ // dependent variables without operations
+ forwardZero[6] = x_in[24];
+ forwardZero[7] = x_in[25];
+ forwardZero[8] = x_in[26];
+ forwardZero[9] = x_in[27];
+ forwardZero[10] = x_in[28];
+ forwardZero[11] = x_in[29];
+ forwardZero[12] = x_in[30];
+ forwardZero[13] = x_in[31];
+ forwardZero[14] = x_in[32];
+ forwardZero[15] = x_in[33];
+ forwardZero[16] = x_in[34];
+ forwardZero[17] = x_in[35];
+
+
+ return eval_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQForwardZero.h b/ct_models/include/ct/models/HyQ/codegen/HyQForwardZero.h
new file mode 100644
index 0000000..7424d32
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQForwardZero.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQForwardZero : public core::Derivatives<49, 36, double>
+{
+public:
+ typedef Eigen::Matrix<double, 36, 1> OUT_TYPE;
+ typedef Eigen::Matrix<double, 49, 1> X_TYPE;
+
+ HyQForwardZero()
+ {
+ eval_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyQForwardZero(const HyQForwardZero& other)
+ {
+ eval_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyQForwardZero(){};
+
+ HyQForwardZero* clone() const override { return new HyQForwardZero(*this); }
+ OUT_TYPE forwardZero(const Eigen::VectorXd& x_in) override;
+
+private:
+ OUT_TYPE eval_;
+ std::array<double, 402> v_;
+};
+
+} /* namespace HyQ */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacForward.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacForward.cpp
new file mode 100644
index 0000000..0e7c87a
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacForward.cpp
@@ -0,0 +1,3607 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyQInverseDynJacForward.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+HyQInverseDynJacForward::JAC_TYPE HyQInverseDynJacForward::jacobian(const Eigen::VectorXd& x_in)
+{
+ double* jac = jac_.data();
+
+ v_[0] = 0.5 * x_in[0];
+ v_[1] = cos(v_[0]);
+ v_[2] = 0.5 * x_in[1];
+ v_[3] = sin(v_[2]);
+ v_[4] = v_[1] * v_[3];
+ v_[5] = 0.5 * x_in[2];
+ v_[6] = cos(v_[5]);
+ v_[7] = sin(v_[0]);
+ v_[8] = cos(v_[2]);
+ v_[9] = v_[7] * v_[8];
+ v_[10] = sin(v_[5]);
+ v_[11] = v_[4] * v_[6] - v_[9] * v_[10];
+ v_[12] = 2. * v_[11];
+ v_[13] = -0.5 * sin(v_[0]);
+ v_[14] = v_[13] * v_[3];
+ v_[0] = 0.5 * cos(v_[0]);
+ v_[15] = v_[0] * v_[8];
+ v_[16] = v_[14] * v_[6] - v_[15] * v_[10];
+ v_[17] = 2. * v_[16];
+ v_[18] = v_[9] * v_[6] + v_[4] * v_[10];
+ v_[19] = 2. * v_[18];
+ v_[15] = v_[15] * v_[6] + v_[14] * v_[10];
+ v_[14] = 2. * v_[15];
+ v_[20] = - -9.81 * (0 - (v_[12] * v_[16] + v_[17] * v_[11]) - (v_[19] * v_[15] + v_[14] * v_[18]));
+ v_[21] = v_[1] * v_[8];
+ v_[22] = v_[7] * v_[3];
+ v_[23] = 2. * (v_[21] * v_[10] + v_[22] * v_[6]);
+ v_[13] = v_[13] * v_[8];
+ v_[0] = v_[0] * v_[3];
+ v_[3] = 2. * (v_[13] * v_[10] + v_[0] * v_[6]);
+ v_[0] = v_[13] * v_[6] - v_[0] * v_[10];
+ v_[13] = v_[21] * v_[6] - v_[22] * v_[10];
+ v_[14] = - -9.81 * (v_[23] * v_[16] + v_[3] * v_[11] + v_[19] * v_[0] + v_[14] * v_[13]);
+ v_[16] = sin(x_in[15]);
+ v_[8] = -0.207 * v_[16];
+ v_[24] = cos(x_in[15]);
+ v_[25] = v_[16] * v_[20] + v_[24] * v_[14];
+ v_[26] = 0.881 * v_[25];
+ v_[27] = 3.146 * v_[25] + v_[26];
+ v_[28] = 3.44 * v_[25] + v_[27];
+ v_[29] = 0.207 * v_[24];
+ v_[30] = 0 - v_[24];
+ v_[31] = v_[30] * v_[20] + v_[16] * v_[14];
+ v_[32] = sin(x_in[16]);
+ v_[33] = 0 - v_[32];
+ v_[34] = cos(x_in[16]);
+ v_[35] = 0 - v_[34];
+ v_[0] = - -9.81 * (v_[23] * v_[15] + v_[3] * v_[18] - (v_[12] * v_[0] + v_[17] * v_[13]));
+ v_[3] = v_[35] * v_[0] + v_[33] * v_[31];
+ v_[15] = cos(x_in[17]);
+ v_[17] = sin(x_in[17]);
+ v_[36] = 0 - v_[17];
+ v_[37] = 0 - v_[32];
+ v_[38] = v_[37] * v_[0] + v_[34] * v_[31];
+ v_[39] = v_[15] * v_[3] + v_[36] * v_[38];
+ v_[40] = 0.881 * v_[39];
+ v_[41] = v_[17] * v_[3] + v_[15] * v_[38];
+ jac[17] = 0.1104774 * v_[39] + 0.0004405 * v_[41];
+ v_[42] = 0.881 * v_[41];
+ v_[43] = 3.146 * v_[3] + v_[15] * v_[40] + v_[17] * v_[42];
+ v_[44] = 3.146 * v_[38] + v_[36] * v_[40] + v_[15] * v_[42];
+ v_[45] = 3.44 * v_[31] + v_[33] * v_[43] + v_[34] * v_[44];
+ v_[46] = 0 - v_[34];
+ v_[41] = -0.1104774 * v_[25] + 8.81e-05 * v_[41];
+ v_[39] = -0.0004405 * v_[25] + -8.81e-05 * v_[39];
+ v_[26] = -0.47422804 * v_[25] + v_[15] * v_[41] + v_[17] * v_[39] + -0.35 * v_[26];
+ v_[47] = 0 - v_[32];
+ v_[48] = 0 - v_[17];
+ v_[39] = 0.0825825 * v_[25] + v_[48] * v_[41] + v_[15] * v_[39];
+ jac[15] = 0.1466472 * v_[25] + v_[46] * v_[26] + v_[47] * v_[39] + 0.08 * v_[27];
+ v_[27] = sin(x_in[12]);
+ v_[41] = 0.207 * v_[27];
+ v_[49] = cos(x_in[12]);
+ v_[50] = 0 - v_[49];
+ v_[51] = v_[27] * v_[20] + v_[50] * v_[14];
+ v_[52] = -1 * v_[51];
+ v_[53] = 0.881 * v_[52];
+ v_[54] = 3.146 * v_[52] + v_[53];
+ v_[55] = 3.44 * v_[51] + -1 * v_[54];
+ v_[56] = -0.207 * v_[49];
+ v_[57] = 0 - v_[49];
+ v_[58] = 0 - v_[27];
+ v_[59] = v_[57] * v_[20] + v_[58] * v_[14];
+ v_[60] = sin(x_in[13]);
+ v_[61] = 0 - v_[60];
+ v_[62] = cos(x_in[13]);
+ jac[877] = 2.1e-05 * v_[62] + -0.000102 * v_[60];
+ jac[894] = v_[62] * 2.1e-05 + v_[60] * -0.000102;
+ v_[63] = -1 * v_[0];
+ v_[64] = v_[62] * v_[63] + v_[61] * v_[59];
+ v_[65] = cos(x_in[14]);
+ v_[66] = sin(x_in[14]);
+ v_[67] = 0 - v_[66];
+ v_[68] = v_[60] * v_[63] + v_[62] * v_[59];
+ v_[69] = v_[65] * v_[64] + v_[67] * v_[68];
+ v_[70] = 0.881 * v_[69];
+ v_[71] = v_[66] * v_[64] + v_[65] * v_[68];
+ jac[14] = 0.110125 * v_[69] + 0.000881 * v_[71];
+ v_[71] = 0.881 * v_[71];
+ v_[69] = 3.146 * v_[64] + v_[65] * v_[70] + v_[66] * v_[71];
+ v_[72] = 3.146 * v_[68] + v_[67] * v_[70] + v_[65] * v_[71];
+ v_[73] = 3.44 * v_[59] + v_[61] * v_[69] + v_[62] * v_[72];
+ v_[74] = -0.110125 * v_[52];
+ v_[75] = -0.000881 * v_[52];
+ v_[53] = -0.47422804 * v_[52] + v_[65] * v_[74] + v_[66] * v_[75] + -0.35 * v_[53];
+ v_[76] = 0 - v_[66];
+ v_[75] = 0.0825825 * v_[52] + v_[76] * v_[74] + v_[65] * v_[75];
+ jac[12] = 0.1466472 * v_[51] + v_[62] * v_[53] + v_[60] * v_[75] + -0.08 * v_[54];
+ v_[54] = sin(x_in[9]);
+ v_[74] = -0.207 * v_[54];
+ v_[52] = cos(x_in[9]);
+ v_[77] = v_[54] * v_[20] + v_[52] * v_[14];
+ v_[78] = 0.881 * v_[77];
+ v_[79] = 3.146 * v_[77] + v_[78];
+ v_[80] = 3.44 * v_[77] + v_[79];
+ v_[81] = 0.207 * v_[52];
+ v_[82] = 0 - v_[52];
+ v_[83] = v_[82] * v_[20] + v_[54] * v_[14];
+ v_[84] = sin(x_in[10]);
+ v_[85] = 0 - v_[84];
+ v_[86] = cos(x_in[10]);
+ v_[87] = 0 - v_[86];
+ v_[88] = v_[87] * v_[0] + v_[85] * v_[83];
+ v_[89] = cos(x_in[11]);
+ v_[90] = sin(x_in[11]);
+ v_[91] = 0 - v_[90];
+ v_[92] = 0 - v_[84];
+ v_[93] = v_[92] * v_[0] + v_[86] * v_[83];
+ v_[94] = v_[89] * v_[88] + v_[91] * v_[93];
+ v_[95] = 0.881 * v_[94];
+ v_[96] = v_[90] * v_[88] + v_[89] * v_[93];
+ jac[11] = 0.1104774 * v_[94] + -0.0004405 * v_[96];
+ v_[97] = 0.881 * v_[96];
+ v_[98] = 3.146 * v_[88] + v_[89] * v_[95] + v_[90] * v_[97];
+ v_[99] = 3.146 * v_[93] + v_[91] * v_[95] + v_[89] * v_[97];
+ v_[100] = 3.44 * v_[83] + v_[85] * v_[98] + v_[86] * v_[99];
+ v_[101] = 0 - v_[86];
+ v_[96] = -0.1104774 * v_[77] + -8.81e-05 * v_[96];
+ v_[94] = 0.0004405 * v_[77] + 8.81e-05 * v_[94];
+ v_[78] = -0.47422804 * v_[77] + v_[89] * v_[96] + v_[90] * v_[94] + -0.35 * v_[78];
+ v_[102] = 0 - v_[84];
+ v_[103] = 0 - v_[90];
+ v_[94] = -0.0825825 * v_[77] + v_[103] * v_[96] + v_[89] * v_[94];
+ jac[9] = 0.1466472 * v_[77] + v_[101] * v_[78] + v_[102] * v_[94] + 0.08 * v_[79];
+ v_[79] = sin(x_in[6]);
+ v_[96] = 0.207 * v_[79];
+ v_[104] = cos(x_in[6]);
+ v_[105] = 0 - v_[104];
+ v_[106] = v_[79] * v_[20] + v_[105] * v_[14];
+ v_[107] = -1 * v_[106];
+ v_[108] = 0.881 * v_[107];
+ v_[109] = 3.146 * v_[107] + v_[108];
+ v_[110] = 3.44 * v_[106] + -1 * v_[109];
+ v_[111] = -0.207 * v_[104];
+ v_[112] = 0 - v_[104];
+ v_[113] = 0 - v_[79];
+ v_[114] = v_[112] * v_[20] + v_[113] * v_[14];
+ v_[115] = sin(x_in[7]);
+ v_[116] = 0 - v_[115];
+ v_[117] = cos(x_in[7]);
+ v_[118] = -1 * v_[0];
+ v_[119] = v_[117] * v_[118] + v_[116] * v_[114];
+ v_[120] = cos(x_in[8]);
+ v_[121] = sin(x_in[8]);
+ v_[122] = 0 - v_[121];
+ v_[123] = v_[115] * v_[118] + v_[117] * v_[114];
+ v_[124] = v_[120] * v_[119] + v_[122] * v_[123];
+ v_[125] = 0.881 * v_[124];
+ v_[126] = v_[121] * v_[119] + v_[120] * v_[123];
+ jac[8] = 0.1104774 * v_[124] + -0.0004405 * v_[126];
+ v_[127] = 0.881 * v_[126];
+ v_[128] = 3.146 * v_[119] + v_[120] * v_[125] + v_[121] * v_[127];
+ v_[129] = 3.146 * v_[123] + v_[122] * v_[125] + v_[120] * v_[127];
+ v_[130] = 3.44 * v_[114] + v_[116] * v_[128] + v_[117] * v_[129];
+ jac[4] = 53.433 * v_[14] + v_[24] * v_[28] + v_[16] * v_[45] + v_[50] * v_[55] + v_[58] * v_[73] + v_[52] * v_[80] + v_[54] * v_[100] + v_[105] * v_[110] + v_[113] * v_[130];
+ jac[5] = 53.433 * v_[20] + v_[16] * v_[28] + v_[30] * v_[45] + v_[27] * v_[55] + v_[57] * v_[73] + v_[54] * v_[80] + v_[82] * v_[100] + v_[79] * v_[110] + v_[112] * v_[130];
+ v_[126] = -0.1104774 * v_[107] + -8.81e-05 * v_[126];
+ v_[124] = 0.0004405 * v_[107] + 8.81e-05 * v_[124];
+ v_[108] = -0.47422804 * v_[107] + v_[120] * v_[126] + v_[121] * v_[124] + -0.35 * v_[108];
+ v_[131] = 0 - v_[121];
+ v_[124] = -0.0825825 * v_[107] + v_[131] * v_[126] + v_[120] * v_[124];
+ jac[6] = 0.1466472 * v_[106] + v_[117] * v_[108] + v_[115] * v_[124] + -0.08 * v_[109];
+ jac[0] = -0.0053433 * v_[20] + -2.0678571 * v_[14] + v_[8] * v_[28] + v_[29] * v_[45] + jac[15] + v_[41] * v_[55] + v_[56] * v_[73] + -1 * jac[12] + v_[74] * v_[80] + v_[81] * v_[100] + jac[9] + v_[96] * v_[110] + v_[111] * v_[130] + -1 * jac[6];
+ v_[109] = 0.08 * v_[34];
+ v_[32] = 0.08 * v_[32];
+ v_[126] = 0.35 * v_[15];
+ v_[107] = 0.35 * v_[17];
+ jac[16] = 0.47422804 * v_[3] + -0.0825825 * v_[38] + v_[126] * v_[40] + v_[107] * v_[42] + jac[17];
+ jac[953] = 0.1104774 * v_[126] + 0.0004405 * v_[107] + 0.026181;
+ jac[970] = v_[126] * 0.1104774 + v_[107] * 0.0004405 + 0.026181;
+ v_[31] = -0.1466472 * v_[0] + 0.5824264 * v_[31] + v_[109] * v_[43] + v_[32] * v_[44] + jac[16];
+ v_[39] = -0.5824264 * v_[25] + v_[47] * v_[26] + v_[34] * v_[39];
+ v_[26] = 0.3735 * v_[16];
+ v_[25] = -0.3735 * v_[24];
+ v_[42] = 0 - v_[49];
+ v_[40] = -0.08 * v_[62];
+ v_[38] = -0.08 * v_[60];
+ v_[3] = 0.35 * v_[65];
+ v_[132] = 0.35 * v_[66];
+ jac[13] = 0.47422804 * v_[64] + -0.0825825 * v_[68] + v_[3] * v_[70] + v_[132] * v_[71] + jac[14];
+ jac[896] = 0.110125 * v_[3] + 0.000881 * v_[132] + 0.026181;
+ jac[913] = v_[3] * 0.110125 + v_[132] * 0.000881 + 0.026181;
+ v_[59] = -0.1466472 * v_[63] + -0.5824264 * v_[59] + v_[40] * v_[69] + v_[38] * v_[72] + -1 * jac[13];
+ v_[71] = 0 - v_[27];
+ v_[70] = 0 - v_[60];
+ v_[75] = 0.5824264 * v_[51] + v_[70] * v_[53] + v_[62] * v_[75];
+ v_[53] = 0.3735 * v_[27];
+ v_[51] = -0.3735 * v_[49];
+ v_[68] = 0.08 * v_[86];
+ v_[84] = 0.08 * v_[84];
+ v_[64] = 0.35 * v_[89];
+ v_[133] = 0.35 * v_[90];
+ jac[10] = 0.47422804 * v_[88] + 0.0825825 * v_[93] + v_[64] * v_[95] + v_[133] * v_[97] + jac[11];
+ jac[839] = 0.1104774 * v_[64] + -0.0004405 * v_[133] + 0.026181;
+ jac[856] = v_[64] * 0.1104774 + v_[133] * -0.0004405 + 0.026181;
+ v_[83] = -0.1466472 * v_[0] + -0.5824264 * v_[83] + v_[68] * v_[98] + v_[84] * v_[99] + jac[10];
+ v_[94] = 0.5824264 * v_[77] + v_[102] * v_[78] + v_[86] * v_[94];
+ v_[78] = -0.3735 * v_[54];
+ v_[77] = 0.3735 * v_[52];
+ v_[97] = 0 - v_[104];
+ v_[95] = -0.08 * v_[117];
+ v_[93] = -0.08 * v_[115];
+ v_[88] = 0.35 * v_[120];
+ v_[134] = 0.35 * v_[121];
+ jac[7] = 0.47422804 * v_[119] + 0.0825825 * v_[123] + v_[88] * v_[125] + v_[134] * v_[127] + jac[8];
+ jac[782] = 0.1104774 * v_[88] + -0.0004405 * v_[134] + 0.026181;
+ jac[799] = v_[88] * 0.1104774 + v_[134] * -0.0004405 + 0.026181;
+ v_[114] = -0.1466472 * v_[118] + 0.5824264 * v_[114] + v_[95] * v_[128] + v_[93] * v_[129] + -1 * jac[7];
+ v_[127] = 0 - v_[79];
+ v_[125] = 0 - v_[115];
+ v_[124] = -0.5824264 * v_[106] + v_[125] * v_[108] + v_[117] * v_[124];
+ v_[108] = -0.3735 * v_[79];
+ v_[106] = 0.3735 * v_[104];
+ jac[1] = 1.1915559 * v_[20] + 2.0678571 * v_[0] + v_[24] * v_[31] + v_[16] * v_[39] + v_[26] * v_[28] + v_[25] * v_[45] + v_[42] * v_[59] + v_[71] * v_[75] + v_[53] * v_[55] + v_[51] * v_[73] + v_[52] * v_[83] + v_[54] * v_[94] + v_[78] * v_[80] + v_[77] * v_[100] + v_[97] * v_[114] + v_[127] * v_[124] + v_[108] * v_[110] + v_[106] * v_[130];
+ v_[20] = 0 - v_[24];
+ v_[44] = 3.44 * v_[0] + v_[35] * v_[43] + v_[37] * v_[44];
+ v_[43] = -0.3735 * v_[24];
+ v_[123] = -0.3735 * v_[16];
+ v_[72] = 3.44 * v_[63] + v_[62] * v_[69] + v_[60] * v_[72];
+ v_[49] = 0.3735 * v_[49];
+ v_[69] = 0.3735 * v_[27];
+ v_[63] = 0 - v_[52];
+ v_[99] = 3.44 * v_[0] + v_[87] * v_[98] + v_[92] * v_[99];
+ v_[98] = 0.3735 * v_[52];
+ v_[119] = 0.3735 * v_[54];
+ v_[129] = 3.44 * v_[118] + v_[117] * v_[128] + v_[115] * v_[129];
+ jac[3] = 53.433 * v_[0] + v_[44] + -1 * v_[72] + v_[99] + -1 * v_[129];
+ v_[104] = -0.3735 * v_[104];
+ v_[128] = -0.3735 * v_[79];
+ jac[2] = -1.1915559 * v_[14] + 0.0053433 * v_[0] + v_[16] * v_[31] + v_[20] * v_[39] + 0.207 * v_[44] + v_[43] * v_[28] + v_[123] * v_[45] + v_[27] * v_[59] + v_[42] * v_[75] + 0.207 * v_[72] + v_[49] * v_[55] + v_[69] * v_[73] + v_[54] * v_[83] + v_[63] * v_[94] + 0.207 * v_[99] + v_[98] * v_[80] + v_[119] * v_[100] + v_[79] * v_[114] + v_[97] * v_[124] + 0.207 * v_[129] + v_[104] * v_[110] + v_[128] * v_[130];
+ v_[129] = 0.5 * cos(v_[2]);
+ v_[99] = v_[1] * v_[129];
+ v_[2] = -0.5 * sin(v_[2]);
+ v_[72] = v_[7] * v_[2];
+ v_[44] = v_[99] * v_[6] - v_[72] * v_[10];
+ v_[124] = 2. * v_[44];
+ v_[72] = v_[72] * v_[6] + v_[99] * v_[10];
+ v_[99] = 2. * v_[72];
+ v_[114] = - -9.81 * (0 - (v_[12] * v_[44] + v_[124] * v_[11]) - (v_[19] * v_[72] + v_[99] * v_[18]));
+ v_[2] = v_[1] * v_[2];
+ v_[129] = v_[7] * v_[129];
+ v_[7] = 2. * (v_[2] * v_[10] + v_[129] * v_[6]);
+ v_[129] = v_[2] * v_[6] - v_[129] * v_[10];
+ v_[99] = - -9.81 * (v_[23] * v_[44] + v_[7] * v_[11] + v_[19] * v_[129] + v_[99] * v_[13]);
+ v_[44] = v_[16] * v_[114] + v_[24] * v_[99];
+ v_[2] = 0.881 * v_[44];
+ v_[10] = 3.146 * v_[44] + v_[2];
+ v_[6] = 3.44 * v_[44] + v_[10];
+ v_[1] = v_[30] * v_[114] + v_[16] * v_[99];
+ v_[129] = - -9.81 * (v_[23] * v_[72] + v_[7] * v_[18] - (v_[12] * v_[129] + v_[124] * v_[13]));
+ v_[7] = v_[35] * v_[129] + v_[33] * v_[1];
+ v_[72] = v_[37] * v_[129] + v_[34] * v_[1];
+ v_[124] = v_[15] * v_[7] + v_[36] * v_[72];
+ v_[94] = 0.881 * v_[124];
+ v_[83] = v_[17] * v_[7] + v_[15] * v_[72];
+ jac[35] = 0.1104774 * v_[124] + 0.0004405 * v_[83];
+ v_[75] = 0.881 * v_[83];
+ v_[59] = 3.146 * v_[7] + v_[15] * v_[94] + v_[17] * v_[75];
+ v_[39] = 3.146 * v_[72] + v_[36] * v_[94] + v_[15] * v_[75];
+ v_[31] = 3.44 * v_[1] + v_[33] * v_[59] + v_[34] * v_[39];
+ v_[83] = -0.1104774 * v_[44] + 8.81e-05 * v_[83];
+ v_[124] = -0.0004405 * v_[44] + -8.81e-05 * v_[124];
+ v_[2] = -0.47422804 * v_[44] + v_[15] * v_[83] + v_[17] * v_[124] + -0.35 * v_[2];
+ v_[124] = 0.0825825 * v_[44] + v_[48] * v_[83] + v_[15] * v_[124];
+ jac[33] = 0.1466472 * v_[44] + v_[46] * v_[2] + v_[47] * v_[124] + 0.08 * v_[10];
+ v_[10] = v_[27] * v_[114] + v_[50] * v_[99];
+ v_[83] = -1 * v_[10];
+ v_[130] = 0.881 * v_[83];
+ v_[110] = 3.146 * v_[83] + v_[130];
+ v_[100] = 3.44 * v_[10] + -1 * v_[110];
+ v_[80] = v_[57] * v_[114] + v_[58] * v_[99];
+ v_[73] = -1 * v_[129];
+ v_[55] = v_[62] * v_[73] + v_[61] * v_[80];
+ v_[45] = v_[60] * v_[73] + v_[62] * v_[80];
+ v_[0] = v_[65] * v_[55] + v_[67] * v_[45];
+ v_[28] = 0.881 * v_[0];
+ v_[14] = v_[66] * v_[55] + v_[65] * v_[45];
+ jac[32] = 0.110125 * v_[0] + 0.000881 * v_[14];
+ v_[14] = 0.881 * v_[14];
+ v_[0] = 3.146 * v_[55] + v_[65] * v_[28] + v_[66] * v_[14];
+ v_[118] = 3.146 * v_[45] + v_[67] * v_[28] + v_[65] * v_[14];
+ v_[135] = 3.44 * v_[80] + v_[61] * v_[0] + v_[62] * v_[118];
+ v_[136] = -0.110125 * v_[83];
+ v_[137] = -0.000881 * v_[83];
+ v_[130] = -0.47422804 * v_[83] + v_[65] * v_[136] + v_[66] * v_[137] + -0.35 * v_[130];
+ v_[137] = 0.0825825 * v_[83] + v_[76] * v_[136] + v_[65] * v_[137];
+ jac[30] = 0.1466472 * v_[10] + v_[62] * v_[130] + v_[60] * v_[137] + -0.08 * v_[110];
+ v_[110] = v_[54] * v_[114] + v_[52] * v_[99];
+ v_[136] = 0.881 * v_[110];
+ v_[83] = 3.146 * v_[110] + v_[136];
+ v_[138] = 3.44 * v_[110] + v_[83];
+ v_[139] = v_[82] * v_[114] + v_[54] * v_[99];
+ v_[140] = v_[87] * v_[129] + v_[85] * v_[139];
+ v_[141] = v_[92] * v_[129] + v_[86] * v_[139];
+ v_[142] = v_[89] * v_[140] + v_[91] * v_[141];
+ v_[143] = 0.881 * v_[142];
+ v_[144] = v_[90] * v_[140] + v_[89] * v_[141];
+ jac[29] = 0.1104774 * v_[142] + -0.0004405 * v_[144];
+ v_[145] = 0.881 * v_[144];
+ v_[146] = 3.146 * v_[140] + v_[89] * v_[143] + v_[90] * v_[145];
+ v_[147] = 3.146 * v_[141] + v_[91] * v_[143] + v_[89] * v_[145];
+ v_[148] = 3.44 * v_[139] + v_[85] * v_[146] + v_[86] * v_[147];
+ v_[144] = -0.1104774 * v_[110] + -8.81e-05 * v_[144];
+ v_[142] = 0.0004405 * v_[110] + 8.81e-05 * v_[142];
+ v_[136] = -0.47422804 * v_[110] + v_[89] * v_[144] + v_[90] * v_[142] + -0.35 * v_[136];
+ v_[142] = -0.0825825 * v_[110] + v_[103] * v_[144] + v_[89] * v_[142];
+ jac[27] = 0.1466472 * v_[110] + v_[101] * v_[136] + v_[102] * v_[142] + 0.08 * v_[83];
+ v_[83] = v_[79] * v_[114] + v_[105] * v_[99];
+ v_[144] = -1 * v_[83];
+ v_[149] = 0.881 * v_[144];
+ v_[150] = 3.146 * v_[144] + v_[149];
+ v_[151] = 3.44 * v_[83] + -1 * v_[150];
+ v_[152] = v_[112] * v_[114] + v_[113] * v_[99];
+ v_[153] = -1 * v_[129];
+ v_[154] = v_[117] * v_[153] + v_[116] * v_[152];
+ v_[155] = v_[115] * v_[153] + v_[117] * v_[152];
+ v_[156] = v_[120] * v_[154] + v_[122] * v_[155];
+ v_[157] = 0.881 * v_[156];
+ v_[158] = v_[121] * v_[154] + v_[120] * v_[155];
+ jac[26] = 0.1104774 * v_[156] + -0.0004405 * v_[158];
+ v_[159] = 0.881 * v_[158];
+ v_[160] = 3.146 * v_[154] + v_[120] * v_[157] + v_[121] * v_[159];
+ v_[161] = 3.146 * v_[155] + v_[122] * v_[157] + v_[120] * v_[159];
+ v_[162] = 3.44 * v_[152] + v_[116] * v_[160] + v_[117] * v_[161];
+ jac[22] = 53.433 * v_[99] + v_[24] * v_[6] + v_[16] * v_[31] + v_[50] * v_[100] + v_[58] * v_[135] + v_[52] * v_[138] + v_[54] * v_[148] + v_[105] * v_[151] + v_[113] * v_[162];
+ jac[23] = 53.433 * v_[114] + v_[16] * v_[6] + v_[30] * v_[31] + v_[27] * v_[100] + v_[57] * v_[135] + v_[54] * v_[138] + v_[82] * v_[148] + v_[79] * v_[151] + v_[112] * v_[162];
+ v_[158] = -0.1104774 * v_[144] + -8.81e-05 * v_[158];
+ v_[156] = 0.0004405 * v_[144] + 8.81e-05 * v_[156];
+ v_[149] = -0.47422804 * v_[144] + v_[120] * v_[158] + v_[121] * v_[156] + -0.35 * v_[149];
+ v_[156] = -0.0825825 * v_[144] + v_[131] * v_[158] + v_[120] * v_[156];
+ jac[24] = 0.1466472 * v_[83] + v_[117] * v_[149] + v_[115] * v_[156] + -0.08 * v_[150];
+ jac[18] = -0.0053433 * v_[114] + -2.0678571 * v_[99] + v_[8] * v_[6] + v_[29] * v_[31] + jac[33] + v_[41] * v_[100] + v_[56] * v_[135] + -1 * jac[30] + v_[74] * v_[138] + v_[81] * v_[148] + jac[27] + v_[96] * v_[151] + v_[111] * v_[162] + -1 * jac[24];
+ jac[34] = 0.47422804 * v_[7] + -0.0825825 * v_[72] + v_[126] * v_[94] + v_[107] * v_[75] + jac[35];
+ v_[1] = -0.1466472 * v_[129] + 0.5824264 * v_[1] + v_[109] * v_[59] + v_[32] * v_[39] + jac[34];
+ v_[124] = -0.5824264 * v_[44] + v_[47] * v_[2] + v_[34] * v_[124];
+ jac[31] = 0.47422804 * v_[55] + -0.0825825 * v_[45] + v_[3] * v_[28] + v_[132] * v_[14] + jac[32];
+ v_[80] = -0.1466472 * v_[73] + -0.5824264 * v_[80] + v_[40] * v_[0] + v_[38] * v_[118] + -1 * jac[31];
+ v_[137] = 0.5824264 * v_[10] + v_[70] * v_[130] + v_[62] * v_[137];
+ jac[28] = 0.47422804 * v_[140] + 0.0825825 * v_[141] + v_[64] * v_[143] + v_[133] * v_[145] + jac[29];
+ v_[139] = -0.1466472 * v_[129] + -0.5824264 * v_[139] + v_[68] * v_[146] + v_[84] * v_[147] + jac[28];
+ v_[142] = 0.5824264 * v_[110] + v_[102] * v_[136] + v_[86] * v_[142];
+ jac[25] = 0.47422804 * v_[154] + 0.0825825 * v_[155] + v_[88] * v_[157] + v_[134] * v_[159] + jac[26];
+ v_[152] = -0.1466472 * v_[153] + 0.5824264 * v_[152] + v_[95] * v_[160] + v_[93] * v_[161] + -1 * jac[25];
+ v_[156] = -0.5824264 * v_[83] + v_[125] * v_[149] + v_[117] * v_[156];
+ jac[19] = 1.1915559 * v_[114] + 2.0678571 * v_[129] + v_[24] * v_[1] + v_[16] * v_[124] + v_[26] * v_[6] + v_[25] * v_[31] + v_[42] * v_[80] + v_[71] * v_[137] + v_[53] * v_[100] + v_[51] * v_[135] + v_[52] * v_[139] + v_[54] * v_[142] + v_[78] * v_[138] + v_[77] * v_[148] + v_[97] * v_[152] + v_[127] * v_[156] + v_[108] * v_[151] + v_[106] * v_[162];
+ v_[39] = 3.44 * v_[129] + v_[35] * v_[59] + v_[37] * v_[39];
+ v_[118] = 3.44 * v_[73] + v_[62] * v_[0] + v_[60] * v_[118];
+ v_[147] = 3.44 * v_[129] + v_[87] * v_[146] + v_[92] * v_[147];
+ v_[161] = 3.44 * v_[153] + v_[117] * v_[160] + v_[115] * v_[161];
+ jac[20] = -1.1915559 * v_[99] + 0.0053433 * v_[129] + v_[16] * v_[1] + v_[20] * v_[124] + 0.207 * v_[39] + v_[43] * v_[6] + v_[123] * v_[31] + v_[27] * v_[80] + v_[42] * v_[137] + 0.207 * v_[118] + v_[49] * v_[100] + v_[69] * v_[135] + v_[54] * v_[139] + v_[63] * v_[142] + 0.207 * v_[147] + v_[98] * v_[138] + v_[119] * v_[148] + v_[79] * v_[152] + v_[97] * v_[156] + 0.207 * v_[161] + v_[104] * v_[151] + v_[128] * v_[162];
+ jac[21] = 53.433 * v_[129] + v_[39] + -1 * v_[118] + v_[147] + -1 * v_[161];
+ v_[161] = -0.5 * sin(v_[5]);
+ v_[5] = 0.5 * cos(v_[5]);
+ v_[147] = v_[4] * v_[161] - v_[9] * v_[5];
+ v_[118] = 2. * v_[147];
+ v_[9] = v_[9] * v_[161] + v_[4] * v_[5];
+ v_[4] = 2. * v_[9];
+ v_[39] = - -9.81 * (0 - (v_[12] * v_[147] + v_[118] * v_[11]) - (v_[19] * v_[9] + v_[4] * v_[18]));
+ v_[129] = 2. * (v_[21] * v_[5] + v_[22] * v_[161]);
+ v_[5] = v_[21] * v_[161] - v_[22] * v_[5];
+ v_[4] = - -9.81 * (v_[23] * v_[147] + v_[129] * v_[11] + v_[19] * v_[5] + v_[4] * v_[13]);
+ v_[147] = v_[16] * v_[39] + v_[24] * v_[4];
+ v_[161] = 0.881 * v_[147];
+ v_[22] = 3.146 * v_[147] + v_[161];
+ v_[21] = 3.44 * v_[147] + v_[22];
+ v_[156] = v_[30] * v_[39] + v_[16] * v_[4];
+ v_[5] = - -9.81 * (v_[23] * v_[9] + v_[129] * v_[18] - (v_[12] * v_[5] + v_[118] * v_[13]));
+ v_[129] = v_[35] * v_[5] + v_[33] * v_[156];
+ v_[9] = v_[37] * v_[5] + v_[34] * v_[156];
+ v_[118] = v_[15] * v_[129] + v_[36] * v_[9];
+ v_[152] = 0.881 * v_[118];
+ v_[142] = v_[17] * v_[129] + v_[15] * v_[9];
+ jac[53] = 0.1104774 * v_[118] + 0.0004405 * v_[142];
+ v_[139] = 0.881 * v_[142];
+ v_[137] = 3.146 * v_[129] + v_[15] * v_[152] + v_[17] * v_[139];
+ v_[80] = 3.146 * v_[9] + v_[36] * v_[152] + v_[15] * v_[139];
+ v_[124] = 3.44 * v_[156] + v_[33] * v_[137] + v_[34] * v_[80];
+ v_[142] = -0.1104774 * v_[147] + 8.81e-05 * v_[142];
+ v_[118] = -0.0004405 * v_[147] + -8.81e-05 * v_[118];
+ v_[161] = -0.47422804 * v_[147] + v_[15] * v_[142] + v_[17] * v_[118] + -0.35 * v_[161];
+ v_[118] = 0.0825825 * v_[147] + v_[48] * v_[142] + v_[15] * v_[118];
+ jac[51] = 0.1466472 * v_[147] + v_[46] * v_[161] + v_[47] * v_[118] + 0.08 * v_[22];
+ v_[22] = v_[27] * v_[39] + v_[50] * v_[4];
+ v_[142] = -1 * v_[22];
+ v_[1] = 0.881 * v_[142];
+ v_[162] = 3.146 * v_[142] + v_[1];
+ v_[151] = 3.44 * v_[22] + -1 * v_[162];
+ v_[148] = v_[57] * v_[39] + v_[58] * v_[4];
+ v_[138] = -1 * v_[5];
+ v_[135] = v_[62] * v_[138] + v_[61] * v_[148];
+ v_[100] = v_[60] * v_[138] + v_[62] * v_[148];
+ v_[31] = v_[65] * v_[135] + v_[67] * v_[100];
+ v_[6] = 0.881 * v_[31];
+ v_[99] = v_[66] * v_[135] + v_[65] * v_[100];
+ jac[50] = 0.110125 * v_[31] + 0.000881 * v_[99];
+ v_[99] = 0.881 * v_[99];
+ v_[31] = 3.146 * v_[135] + v_[65] * v_[6] + v_[66] * v_[99];
+ v_[160] = 3.146 * v_[100] + v_[67] * v_[6] + v_[65] * v_[99];
+ v_[153] = 3.44 * v_[148] + v_[61] * v_[31] + v_[62] * v_[160];
+ v_[146] = -0.110125 * v_[142];
+ v_[0] = -0.000881 * v_[142];
+ v_[1] = -0.47422804 * v_[142] + v_[65] * v_[146] + v_[66] * v_[0] + -0.35 * v_[1];
+ v_[0] = 0.0825825 * v_[142] + v_[76] * v_[146] + v_[65] * v_[0];
+ jac[48] = 0.1466472 * v_[22] + v_[62] * v_[1] + v_[60] * v_[0] + -0.08 * v_[162];
+ v_[162] = v_[54] * v_[39] + v_[52] * v_[4];
+ v_[146] = 0.881 * v_[162];
+ v_[142] = 3.146 * v_[162] + v_[146];
+ v_[73] = 3.44 * v_[162] + v_[142];
+ v_[59] = v_[82] * v_[39] + v_[54] * v_[4];
+ v_[114] = v_[87] * v_[5] + v_[85] * v_[59];
+ v_[149] = v_[92] * v_[5] + v_[86] * v_[59];
+ v_[83] = v_[89] * v_[114] + v_[91] * v_[149];
+ v_[159] = 0.881 * v_[83];
+ v_[157] = v_[90] * v_[114] + v_[89] * v_[149];
+ jac[47] = 0.1104774 * v_[83] + -0.0004405 * v_[157];
+ v_[155] = 0.881 * v_[157];
+ v_[154] = 3.146 * v_[114] + v_[89] * v_[159] + v_[90] * v_[155];
+ v_[136] = 3.146 * v_[149] + v_[91] * v_[159] + v_[89] * v_[155];
+ v_[110] = 3.44 * v_[59] + v_[85] * v_[154] + v_[86] * v_[136];
+ v_[157] = -0.1104774 * v_[162] + -8.81e-05 * v_[157];
+ v_[83] = 0.0004405 * v_[162] + 8.81e-05 * v_[83];
+ v_[146] = -0.47422804 * v_[162] + v_[89] * v_[157] + v_[90] * v_[83] + -0.35 * v_[146];
+ v_[83] = -0.0825825 * v_[162] + v_[103] * v_[157] + v_[89] * v_[83];
+ jac[45] = 0.1466472 * v_[162] + v_[101] * v_[146] + v_[102] * v_[83] + 0.08 * v_[142];
+ v_[142] = v_[79] * v_[39] + v_[105] * v_[4];
+ v_[157] = -1 * v_[142];
+ v_[145] = 0.881 * v_[157];
+ v_[143] = 3.146 * v_[157] + v_[145];
+ v_[141] = 3.44 * v_[142] + -1 * v_[143];
+ v_[140] = v_[112] * v_[39] + v_[113] * v_[4];
+ v_[130] = -1 * v_[5];
+ v_[10] = v_[117] * v_[130] + v_[116] * v_[140];
+ v_[14] = v_[115] * v_[130] + v_[117] * v_[140];
+ v_[28] = v_[120] * v_[10] + v_[122] * v_[14];
+ v_[45] = 0.881 * v_[28];
+ v_[55] = v_[121] * v_[10] + v_[120] * v_[14];
+ jac[44] = 0.1104774 * v_[28] + -0.0004405 * v_[55];
+ v_[2] = 0.881 * v_[55];
+ v_[44] = 3.146 * v_[10] + v_[120] * v_[45] + v_[121] * v_[2];
+ v_[75] = 3.146 * v_[14] + v_[122] * v_[45] + v_[120] * v_[2];
+ v_[94] = 3.44 * v_[140] + v_[116] * v_[44] + v_[117] * v_[75];
+ jac[40] = 53.433 * v_[4] + v_[24] * v_[21] + v_[16] * v_[124] + v_[50] * v_[151] + v_[58] * v_[153] + v_[52] * v_[73] + v_[54] * v_[110] + v_[105] * v_[141] + v_[113] * v_[94];
+ jac[41] = 53.433 * v_[39] + v_[16] * v_[21] + v_[30] * v_[124] + v_[27] * v_[151] + v_[57] * v_[153] + v_[54] * v_[73] + v_[82] * v_[110] + v_[79] * v_[141] + v_[112] * v_[94];
+ v_[55] = -0.1104774 * v_[157] + -8.81e-05 * v_[55];
+ v_[28] = 0.0004405 * v_[157] + 8.81e-05 * v_[28];
+ v_[145] = -0.47422804 * v_[157] + v_[120] * v_[55] + v_[121] * v_[28] + -0.35 * v_[145];
+ v_[28] = -0.0825825 * v_[157] + v_[131] * v_[55] + v_[120] * v_[28];
+ jac[42] = 0.1466472 * v_[142] + v_[117] * v_[145] + v_[115] * v_[28] + -0.08 * v_[143];
+ jac[36] = -0.0053433 * v_[39] + -2.0678571 * v_[4] + v_[8] * v_[21] + v_[29] * v_[124] + jac[51] + v_[41] * v_[151] + v_[56] * v_[153] + -1 * jac[48] + v_[74] * v_[73] + v_[81] * v_[110] + jac[45] + v_[96] * v_[141] + v_[111] * v_[94] + -1 * jac[42];
+ jac[52] = 0.47422804 * v_[129] + -0.0825825 * v_[9] + v_[126] * v_[152] + v_[107] * v_[139] + jac[53];
+ v_[156] = -0.1466472 * v_[5] + 0.5824264 * v_[156] + v_[109] * v_[137] + v_[32] * v_[80] + jac[52];
+ v_[118] = -0.5824264 * v_[147] + v_[47] * v_[161] + v_[34] * v_[118];
+ jac[49] = 0.47422804 * v_[135] + -0.0825825 * v_[100] + v_[3] * v_[6] + v_[132] * v_[99] + jac[50];
+ v_[148] = -0.1466472 * v_[138] + -0.5824264 * v_[148] + v_[40] * v_[31] + v_[38] * v_[160] + -1 * jac[49];
+ v_[0] = 0.5824264 * v_[22] + v_[70] * v_[1] + v_[62] * v_[0];
+ jac[46] = 0.47422804 * v_[114] + 0.0825825 * v_[149] + v_[64] * v_[159] + v_[133] * v_[155] + jac[47];
+ v_[59] = -0.1466472 * v_[5] + -0.5824264 * v_[59] + v_[68] * v_[154] + v_[84] * v_[136] + jac[46];
+ v_[83] = 0.5824264 * v_[162] + v_[102] * v_[146] + v_[86] * v_[83];
+ jac[43] = 0.47422804 * v_[10] + 0.0825825 * v_[14] + v_[88] * v_[45] + v_[134] * v_[2] + jac[44];
+ v_[140] = -0.1466472 * v_[130] + 0.5824264 * v_[140] + v_[95] * v_[44] + v_[93] * v_[75] + -1 * jac[43];
+ v_[28] = -0.5824264 * v_[142] + v_[125] * v_[145] + v_[117] * v_[28];
+ jac[37] = 1.1915559 * v_[39] + 2.0678571 * v_[5] + v_[24] * v_[156] + v_[16] * v_[118] + v_[26] * v_[21] + v_[25] * v_[124] + v_[42] * v_[148] + v_[71] * v_[0] + v_[53] * v_[151] + v_[51] * v_[153] + v_[52] * v_[59] + v_[54] * v_[83] + v_[78] * v_[73] + v_[77] * v_[110] + v_[97] * v_[140] + v_[127] * v_[28] + v_[108] * v_[141] + v_[106] * v_[94];
+ v_[80] = 3.44 * v_[5] + v_[35] * v_[137] + v_[37] * v_[80];
+ v_[160] = 3.44 * v_[138] + v_[62] * v_[31] + v_[60] * v_[160];
+ v_[136] = 3.44 * v_[5] + v_[87] * v_[154] + v_[92] * v_[136];
+ v_[75] = 3.44 * v_[130] + v_[117] * v_[44] + v_[115] * v_[75];
+ jac[38] = -1.1915559 * v_[4] + 0.0053433 * v_[5] + v_[16] * v_[156] + v_[20] * v_[118] + 0.207 * v_[80] + v_[43] * v_[21] + v_[123] * v_[124] + v_[27] * v_[148] + v_[42] * v_[0] + 0.207 * v_[160] + v_[49] * v_[151] + v_[69] * v_[153] + v_[54] * v_[59] + v_[63] * v_[83] + 0.207 * v_[136] + v_[98] * v_[73] + v_[119] * v_[110] + v_[79] * v_[140] + v_[97] * v_[28] + 0.207 * v_[75] + v_[104] * v_[141] + v_[128] * v_[94];
+ jac[39] = 53.433 * v_[5] + v_[80] + -1 * v_[160] + v_[136] + -1 * v_[75];
+ v_[75] = -1 * sin(x_in[6]);
+ v_[136] = - v_[75];
+ v_[160] = cos(x_in[6]);
+ v_[80] = v_[136] * x_in[19] + v_[160] * x_in[20];
+ v_[5] = v_[80] * x_in[24];
+ v_[28] = 0 - -9.81 * (1 - v_[12] * v_[11] - v_[19] * v_[18]);
+ v_[140] = - v_[75];
+ v_[19] = 0 - -9.81 * (v_[23] * v_[11] + v_[19] * v_[13]);
+ v_[11] = -0.3735 * v_[160];
+ v_[83] = 0.3735 * v_[75];
+ v_[59] = -0.207 * v_[75];
+ v_[0] = - v_[75];
+ v_[148] = - v_[160];
+ v_[118] = v_[11] * x_in[20] + v_[83] * x_in[19] + v_[59] * x_in[18] + v_[0] * x_in[23] + v_[148] * x_in[22];
+ v_[156] = v_[160] * v_[28] + v_[140] * v_[19] + (- v_[118]) * x_in[24];
+ v_[94] = v_[127] * x_in[19] + v_[97] * x_in[20];
+ v_[141] = - v_[160];
+ v_[110] = v_[141] * x_in[19] + v_[136] * x_in[20];
+ v_[73] = v_[97] * x_in[19] + v_[79] * x_in[20];
+ v_[153] = v_[94] * v_[80] + v_[110] * v_[73];
+ v_[151] = 0.207 * x_in[20] + -1 * x_in[21];
+ v_[124] = v_[110] * v_[151];
+ v_[21] = -1 * x_in[18] + x_in[24];
+ v_[4] = v_[21] * v_[118];
+ v_[44] = v_[80] * v_[21];
+ v_[130] = v_[117] * v_[110];
+ v_[154] = v_[125] * v_[5] + (- v_[130]) * x_in[25];
+ v_[31] = v_[125] * v_[110];
+ v_[138] = v_[117] * v_[5] + v_[31] * x_in[25];
+ v_[137] = -1 * v_[156];
+ v_[39] = v_[117] * v_[94] + v_[115] * v_[21];
+ v_[145] = -1 * v_[80];
+ v_[142] = -1 * v_[73] + x_in[25];
+ v_[2] = v_[39] * v_[145] + v_[130] * v_[142];
+ v_[45] = v_[116] * v_[118] + v_[95] * v_[80];
+ v_[14] = v_[128] * x_in[20] + v_[106] * x_in[19] + v_[111] * x_in[18] + v_[112] * x_in[23] + v_[113] * x_in[22];
+ v_[10] = v_[117] * v_[151] + v_[116] * v_[14] + v_[95] * v_[73];
+ v_[146] = v_[125] * v_[94] + v_[117] * v_[21];
+ v_[162] = v_[117] * v_[118] + v_[93] * v_[80];
+ v_[155] = v_[115] * v_[151] + v_[117] * v_[14] + v_[93] * v_[73];
+ v_[159] = v_[39] * v_[45] + v_[130] * v_[10] - (v_[146] * v_[162] + v_[31] * v_[155]);
+ v_[149] = v_[146] * v_[145] + v_[31] * v_[142];
+ v_[114] = v_[120] * v_[130] + v_[121] * v_[31];
+ v_[1] = v_[120] * v_[154] + v_[131] * v_[138] + (- v_[114]) * x_in[26];
+ v_[22] = v_[131] * v_[130] + v_[120] * v_[31];
+ v_[99] = v_[121] * v_[154] + v_[120] * v_[138] + v_[22] * x_in[26];
+ v_[6] = -0.35 * v_[154] + v_[137];
+ v_[100] = v_[120] * v_[39] + v_[121] * v_[146];
+ v_[135] = v_[120] * v_[45] + v_[122] * v_[162] + v_[88] * v_[145];
+ v_[161] = v_[120] * v_[10] + v_[122] * v_[155] + v_[88] * v_[142];
+ v_[147] = v_[131] * v_[39] + v_[120] * v_[146];
+ v_[139] = v_[121] * v_[45] + v_[120] * v_[162] + v_[134] * v_[145];
+ v_[152] = v_[121] * v_[10] + v_[120] * v_[155] + v_[134] * v_[142];
+ v_[9] = v_[100] * v_[135] + v_[114] * v_[161] - (v_[147] * v_[139] + v_[22] * v_[152]);
+ v_[129] = v_[142] + x_in[26];
+ v_[143] = v_[100] * v_[145] + v_[114] * v_[129];
+ v_[55] = v_[147] * v_[145] + v_[22] * v_[129];
+ v_[157] = v_[147] * v_[22] + v_[22] * v_[147];
+ v_[72] = v_[100] * v_[114] + v_[114] * v_[100];
+ v_[7] = -0.1104774 * v_[1] + 0.0004405 * v_[99] + 0.881 * v_[6] + 0.881 * v_[9] + 0.1104774 * v_[143] + 0.0004405 * v_[55] - -8.81e-05 * (v_[157] + v_[72]);
+ v_[150] = -0.47422804 * v_[154] + -0.0825825 * v_[138] + 3.146 * v_[137] + 0.47422804 * v_[2] + 3.146 * v_[159] + -0.0825825 * v_[149] + v_[7];
+ v_[158] = -0.5824264 * v_[5] + 3.44 * v_[156] + 0.1466472 * v_[153] + -3.44 * (v_[124] - v_[4]) + 0.5824264 * v_[44] + -1 * v_[150];
+ v_[144] = 0.207 * v_[160];
+ v_[163] = v_[73] * x_in[24];
+ v_[164] = 0 - v_[14];
+ v_[165] = v_[79] * v_[28] + v_[105] * v_[19] + v_[164] * x_in[24];
+ v_[166] = v_[94] * v_[73];
+ v_[167] = v_[94] * v_[151];
+ v_[168] = v_[21] * v_[14];
+ v_[169] = v_[73] * v_[21];
+ v_[170] = 0 - v_[39];
+ v_[171] = v_[117] * x_in[42] + v_[125] * v_[163] + v_[170] * x_in[25];
+ v_[172] = v_[115] * x_in[42] + v_[117] * v_[163] + v_[146] * x_in[25];
+ v_[173] = -0.08 * x_in[42] + -1 * v_[165];
+ v_[174] = v_[39] * v_[142];
+ v_[175] = v_[39] * v_[10] - v_[146] * v_[155];
+ v_[176] = v_[146] * v_[142];
+ v_[177] = 0 - v_[100];
+ v_[178] = v_[120] * v_[171] + v_[131] * v_[172] + v_[177] * x_in[26];
+ v_[179] = v_[121] * v_[171] + v_[120] * v_[172] + v_[147] * x_in[26];
+ v_[180] = -0.35 * v_[171] + v_[173];
+ v_[181] = v_[100] * v_[161] - v_[147] * v_[152];
+ v_[182] = v_[100] * v_[129];
+ v_[183] = v_[147] * v_[129];
+ v_[184] = v_[147] * v_[147];
+ v_[185] = v_[100] * v_[100];
+ v_[186] = -0.1104774 * v_[178] + 0.0004405 * v_[179] + 0.881 * v_[180] + 0.881 * v_[181] + 0.1104774 * v_[182] + 0.0004405 * v_[183] - -8.81e-05 * (v_[184] + v_[185]);
+ v_[187] = 0.1466472 * x_in[42] + -0.5824264 * v_[163] + 3.44 * v_[165] + 0.1466472 * v_[166] + -3.44 * (v_[167] - v_[168]) + 0.5824264 * v_[169] + -1 * (-0.47422804 * v_[171] + -0.0825825 * v_[172] + 3.146 * v_[173] + 0.47422804 * v_[174] + 3.146 * v_[175] + -0.0825825 * v_[176] + v_[186]);
+ v_[75] = -0.3735 * v_[75];
+ v_[188] = -0.3735 * v_[160];
+ v_[189] = v_[75] * x_in[20] + v_[188] * x_in[19] + v_[144] * x_in[18] + v_[160] * x_in[23] + v_[140] * x_in[22];
+ v_[190] = v_[0] * v_[28] + v_[148] * v_[19] + v_[189] * x_in[24];
+ v_[191] = (- v_[110]) * x_in[24];
+ v_[192] = v_[80] * v_[151] - v_[21] * v_[189];
+ v_[193] = v_[110] * v_[21];
+ v_[194] = v_[116] * v_[190] + v_[95] * v_[191] + (- v_[162]) * x_in[25];
+ v_[195] = -1 * v_[191];
+ v_[196] = -1 * v_[189];
+ v_[197] = v_[104] * x_in[20] + v_[108] * x_in[19] + v_[96] * x_in[18] + v_[79] * x_in[23] + v_[105] * x_in[22];
+ v_[198] = -0.08 * v_[21] + -1 * v_[197];
+ v_[199] = v_[39] * v_[196] + v_[130] * v_[198];
+ v_[162] = v_[142] * v_[162] + v_[145] * v_[155];
+ v_[200] = v_[39] * v_[31] + v_[130] * v_[146];
+ v_[201] = v_[117] * v_[190] + v_[93] * v_[191] + v_[45] * x_in[25];
+ v_[202] = v_[120] * v_[194] + v_[122] * v_[201] + v_[88] * v_[195] + (- v_[139]) * x_in[26];
+ v_[203] = -0.35 * v_[31] + v_[196];
+ v_[204] = -0.35 * v_[146] + v_[198];
+ v_[205] = v_[100] * v_[203] + v_[114] * v_[204];
+ v_[139] = v_[129] * v_[139] + v_[145] * v_[152];
+ v_[114] = v_[100] * v_[22] + v_[114] * v_[147];
+ v_[206] = v_[129] * v_[145] + v_[145] * v_[129];
+ v_[72] = 0.1104774 * v_[195] + 8.81e-05 * v_[99] + 0.881 * v_[202] + -0.881 * (v_[205] - v_[139]) + 0.1104774 * v_[114] + -8.81e-05 * v_[55] - 0.0004405 * (v_[206] + v_[72]);
+ v_[207] = v_[121] * v_[194] + v_[120] * v_[201] + v_[134] * v_[195] + v_[135] * x_in[26];
+ v_[203] = v_[147] * v_[203] + v_[22] * v_[204] - (v_[129] * v_[135] + v_[145] * v_[161]);
+ jac[116] = 0.1104774 * v_[202] + -0.0004405 * v_[207] + 0.026181 * v_[195] + 0.1104774 * (v_[139] - v_[205]) + 0.025941 * v_[114] - 0.0004405 * v_[203];
+ v_[206] = -0.0004405 * v_[195] + -8.81e-05 * v_[1] + 0.881 * v_[207] + 0.881 * v_[203] + -8.81e-05 * v_[143] + 0.0004405 * v_[114] - 0.1104774 * (v_[206] + v_[157]);
+ v_[114] = v_[142] * v_[145] + v_[145] * v_[142];
+ v_[130] = v_[39] * v_[130] + v_[130] * v_[39];
+ v_[157] = 3.146 * v_[194] + 0.47422804 * v_[195] + -3.146 * (v_[199] - v_[162]) + 0.47422804 * v_[200] + v_[120] * v_[72] + v_[121] * v_[206] - -0.0825825 * (v_[114] + v_[130]);
+ v_[196] = v_[146] * v_[196] + v_[31] * v_[198] - (v_[142] * v_[45] + v_[145] * v_[10]);
+ v_[31] = v_[146] * v_[31] + v_[31] * v_[146];
+ v_[45] = 3.146 * v_[201] + 0.0825825 * v_[195] + 3.146 * v_[196] + -0.0825825 * v_[200] + v_[122] * v_[72] + v_[120] * v_[206] - 0.47422804 * (v_[114] + v_[31]);
+ v_[145] = v_[73] * v_[80] + v_[80] * v_[73];
+ v_[135] = 3.44 * v_[190] + 0.5824264 * v_[191] + 3.44 * v_[192] + 0.5824264 * v_[193] + v_[116] * v_[157] + v_[117] * v_[45] - 0.1466472 * v_[145];
+ v_[22] = v_[112] * v_[28] + v_[113] * v_[19] + v_[197] * x_in[24];
+ v_[208] = 0 - v_[94];
+ v_[209] = v_[208] * x_in[24];
+ v_[210] = v_[73] * v_[151] - v_[21] * v_[197];
+ v_[211] = v_[94] * v_[21];
+ v_[13] = 0 - -9.81 * (v_[23] * v_[18] - v_[12] * v_[13]);
+ v_[23] = -1 * v_[13];
+ v_[18] = 0 - v_[155];
+ v_[12] = v_[117] * v_[23] + v_[116] * v_[22] + v_[95] * v_[209] + v_[18] * x_in[25];
+ v_[212] = -1 * v_[209] + x_in[43];
+ v_[213] = v_[39] * v_[198];
+ v_[214] = v_[142] * v_[155];
+ v_[215] = v_[39] * v_[146];
+ v_[216] = v_[212] + x_in[44];
+ v_[217] = v_[115] * v_[23] + v_[117] * v_[22] + v_[93] * v_[209] + v_[10] * x_in[25];
+ v_[218] = 0 - v_[152];
+ v_[219] = v_[120] * v_[12] + v_[122] * v_[217] + v_[88] * v_[212] + v_[218] * x_in[26];
+ v_[220] = v_[100] * v_[204];
+ v_[221] = v_[129] * v_[152];
+ v_[222] = v_[100] * v_[147];
+ v_[223] = v_[129] * v_[129];
+ v_[185] = 0.1104774 * v_[216] + 8.81e-05 * v_[179] + 0.881 * v_[219] + -0.881 * (v_[220] - v_[221]) + 0.1104774 * v_[222] + -8.81e-05 * v_[183] - 0.0004405 * (v_[223] + v_[185]);
+ v_[224] = v_[121] * v_[12] + v_[120] * v_[217] + v_[134] * v_[212] + v_[161] * x_in[26];
+ v_[225] = v_[147] * v_[204] - v_[129] * v_[161];
+ v_[223] = -0.0004405 * v_[216] + -8.81e-05 * v_[178] + 0.881 * v_[224] + 0.881 * v_[225] + -8.81e-05 * v_[182] + 0.0004405 * v_[222] - 0.1104774 * (v_[223] + v_[184]);
+ v_[184] = v_[142] * v_[142];
+ v_[226] = v_[39] * v_[39];
+ v_[227] = 3.146 * v_[12] + 0.47422804 * v_[212] + -3.146 * (v_[213] - v_[214]) + 0.47422804 * v_[215] + v_[120] * v_[185] + v_[121] * v_[223] - -0.0825825 * (v_[184] + v_[226]);
+ v_[228] = v_[146] * v_[198] - v_[142] * v_[10];
+ v_[229] = v_[146] * v_[146];
+ v_[230] = 3.146 * v_[217] + 0.0825825 * v_[212] + 3.146 * v_[228] + -0.0825825 * v_[215] + v_[122] * v_[185] + v_[120] * v_[223] - 0.47422804 * (v_[184] + v_[229]);
+ v_[231] = v_[21] * v_[21];
+ v_[232] = v_[73] * v_[73];
+ v_[233] = 3.44 * v_[22] + 0.5824264 * v_[209] + 3.44 * v_[210] + 0.5824264 * v_[211] + v_[116] * v_[227] + v_[117] * v_[230] - 0.1466472 * (v_[231] + v_[232]);
+ jac[112] = v_[105] * v_[158] + v_[140] * v_[187] + v_[113] * v_[135] + v_[148] * v_[233];
+ jac[113] = v_[79] * v_[158] + v_[160] * v_[187] + v_[112] * v_[135] + v_[0] * v_[233];
+ v_[203] = -0.1104774 * v_[6] + -8.81e-05 * v_[207] + 0.026409 * v_[1] + -8.81e-05 * v_[203] - 0.1104774 * v_[9] - 0.025713 * v_[143];
+ v_[139] = 0.0004405 * v_[6] + 8.81e-05 * v_[202] + 0.000468 * v_[99] + 0.0004405 * v_[9] + -8.81e-05 * (v_[205] - v_[139]) + -0.000227999999999999 * v_[55];
+ v_[7] = 2.1e-05 * v_[195] + 0.087136 * v_[154] + 0.007418 * v_[138] + -0.47422804 * v_[137] + 0.007418 * v_[149] + 0.000102 * (v_[114] - v_[130]) + v_[120] * v_[203] + v_[121] * v_[139] + -0.35 * v_[7] - 0.47422804 * v_[159] - 0.084376 * v_[2] - 2.1e-05 * v_[200];
+ v_[139] = 0.000102 * v_[195] + 0.007418 * v_[154] + 0.005495 * v_[138] + -0.0825825 * v_[137] + 0.002735 * v_[149] + -0.0825825 * v_[159] + 0.000102 * v_[200] + v_[131] * v_[203] + v_[120] * v_[139] - 0.007418 * v_[2] - 2.1e-05 * (v_[114] - v_[31]);
+ v_[203] = v_[94] * v_[110] + v_[110] * v_[94];
+ jac[114] = -5.1e-05 * v_[191] + -0.022734 * v_[5] + 0.1466472 * v_[156] + 0.009466 * v_[153] + 0.1466472 * (v_[4] - v_[124]) + -5.1e-05 * v_[193] + v_[117] * v_[7] + v_[115] * v_[139] + -0.08 * v_[150] - -0.022734 * v_[44] - -3.6e-05 * (v_[145] - v_[203]);
+ jac[108] = v_[96] * v_[158] + v_[144] * v_[187] + v_[111] * v_[135] + v_[59] * v_[233] + -1 * jac[114];
+ jac[115] = 0.089871 * v_[195] + 2.1e-05 * v_[154] + 0.000102 * v_[138] + 0.47422804 * v_[194] + 0.0825825 * v_[201] + 0.47422804 * (v_[162] - v_[199]) + 0.081641 * v_[200] + 2.1e-05 * v_[2] + v_[88] * v_[72] + v_[134] * v_[206] + jac[116] - -0.0825825 * v_[196] - 0.000102 * v_[149] - 0.007418 * (v_[31] - v_[130]);
+ v_[189] = v_[94] * v_[189] + v_[110] * v_[197] - (v_[73] * v_[118] + v_[80] * v_[14]);
+ v_[192] = 0.144171 * v_[191] + -3.6e-05 * v_[5] + 0.5824264 * v_[190] + 0.5824264 * v_[192] + -3.6e-05 * v_[44] + -0.022734 * (0 - v_[203]) + v_[95] * v_[157] + v_[93] * v_[45] + -1 * jac[115] - 0.1466472 * v_[189] - -0.123672 * v_[193] - -5.1e-05 * v_[153];
+ v_[228] = -5.1e-05 * x_in[42] + 0.144171 * v_[209] + -3.6e-05 * v_[163] + -0.1466472 * v_[23] + 0.5824264 * v_[22] + 0.5824264 * v_[210] + -3.6e-05 * v_[169] + -0.022734 * (v_[231] - v_[94] * v_[94]) + v_[95] * v_[227] + v_[93] * v_[230] + -1 * (0.089871 * v_[212] + 2.1e-05 * v_[171] + 0.000102 * v_[172] + 0.47422804 * v_[12] + 0.0825825 * v_[217] + 0.47422804 * (v_[214] - v_[213]) + 0.081641 * v_[215] + 2.1e-05 * v_[174] + v_[88] * v_[185] + v_[134] * v_[223] + 0.1104774 * v_[219] + -0.0004405 * v_[224] + 0.026181 * v_[216] + 0.1104774 * (v_[221] - v_[220]) + 0.025941 * v_[222] - 0.0004405 * v_[225] - -0.0825825 * v_[228] - 0.000102 * v_[176] - 0.007418 * (v_[229] - v_[226])) - 0.1466472 * (v_[94] * v_[197] - v_[73] * v_[14]) - -0.123672 * v_[211] - -5.1e-05 * v_[166];
+ v_[139] = -3.6e-05 * v_[191] + 0.134705 * v_[5] + -0.5824264 * v_[156] + -0.133138 * v_[44] + 0.5824264 * (v_[124] - v_[4]) + -0.022734 * v_[153] + v_[125] * v_[7] + v_[117] * v_[139] - -3.6e-05 * v_[193] - -5.1e-05 * (0 - v_[145]);
+ v_[225] = -0.1104774 * v_[180] + -8.81e-05 * v_[224] + 0.026409 * v_[178] + -8.81e-05 * v_[225] - 0.1104774 * v_[181] - 0.025713 * v_[182];
+ v_[221] = 0.0004405 * v_[180] + 8.81e-05 * v_[219] + 0.000468 * v_[179] + 0.0004405 * v_[181] + -8.81e-05 * (v_[220] - v_[221]) + -0.000227999999999999 * v_[183];
+ v_[226] = 2.1e-05 * v_[212] + 0.087136 * v_[171] + 0.007418 * v_[172] + -0.47422804 * v_[173] + 0.007418 * v_[176] + 0.000102 * (v_[184] - v_[226]) + v_[120] * v_[225] + v_[121] * v_[221] + -0.35 * v_[186] - 0.47422804 * v_[175] - 0.084376 * v_[174] - 2.1e-05 * v_[215];
+ v_[229] = 0.000102 * v_[212] + 0.007418 * v_[171] + 0.005495 * v_[172] + -0.0825825 * v_[173] + 0.002735 * v_[176] + -0.0825825 * v_[175] + 0.000102 * v_[215] + v_[131] * v_[225] + v_[120] * v_[221] - 0.007418 * v_[174] - 2.1e-05 * (v_[184] - v_[229]);
+ v_[232] = -0.022734 * x_in[42] + -3.6e-05 * v_[209] + 0.134705 * v_[163] + -0.5824264 * v_[165] + -0.133138 * v_[169] + 0.5824264 * (v_[167] - v_[168]) + -0.022734 * v_[166] + v_[125] * v_[226] + v_[117] * v_[229] - -3.6e-05 * v_[211] - -5.1e-05 * (v_[231] - v_[232]);
+ jac[109] = v_[97] * v_[192] + v_[136] * v_[228] + v_[127] * v_[139] + v_[141] * v_[232] + v_[108] * v_[158] + v_[188] * v_[187] + v_[106] * v_[135] + v_[83] * v_[233];
+ v_[189] = -0.1466472 * v_[191] + 3.44 * v_[189] + 0.1466472 * v_[193] + v_[117] * v_[157] + v_[115] * v_[45] - 0.5824264 * (v_[145] + v_[203]);
+ jac[110] = v_[79] * v_[192] + v_[160] * v_[228] + v_[97] * v_[139] + v_[136] * v_[232] + 0.207 * v_[189] + v_[104] * v_[158] + v_[75] * v_[187] + v_[128] * v_[135] + v_[11] * v_[233];
+ jac[111] = -1 * v_[189];
+ v_[189] = -1 * sin(x_in[7]);
+ v_[232] = cos(x_in[7]);
+ v_[139] = - v_[232];
+ v_[228] = v_[189] * v_[94] + v_[232] * v_[21];
+ v_[192] = v_[189] * x_in[42] + v_[139] * v_[163] + (- v_[228]) * x_in[25];
+ v_[233] = v_[139] * v_[94] + v_[189] * v_[21];
+ v_[163] = v_[232] * x_in[42] + v_[189] * v_[163] + v_[233] * x_in[25];
+ v_[135] = v_[228] * v_[142];
+ v_[75] = - v_[232];
+ v_[187] = -0.08 * v_[189];
+ v_[158] = v_[189] * v_[151] + v_[75] * v_[14] + v_[187] * v_[73];
+ v_[11] = -0.08 * v_[232];
+ v_[160] = v_[232] * v_[151] + v_[189] * v_[14] + v_[11] * v_[73];
+ v_[136] = v_[39] * v_[158] + v_[228] * v_[10] - (v_[146] * v_[160] + v_[233] * v_[155]);
+ v_[203] = v_[233] * v_[142];
+ v_[145] = v_[120] * v_[228] + v_[121] * v_[233];
+ v_[45] = v_[120] * v_[192] + v_[131] * v_[163] + (- v_[145]) * x_in[26];
+ v_[157] = v_[131] * v_[228] + v_[120] * v_[233];
+ v_[193] = v_[121] * v_[192] + v_[120] * v_[163] + v_[157] * x_in[26];
+ v_[191] = -0.35 * v_[192];
+ v_[188] = v_[120] * v_[158] + v_[122] * v_[160];
+ v_[141] = v_[121] * v_[158] + v_[120] * v_[160];
+ v_[83] = v_[100] * v_[188] + v_[145] * v_[161] - (v_[147] * v_[141] + v_[157] * v_[152]);
+ v_[231] = v_[145] * v_[129];
+ v_[211] = v_[157] * v_[129];
+ v_[169] = v_[147] * v_[157] + v_[157] * v_[147];
+ v_[168] = v_[100] * v_[145] + v_[145] * v_[100];
+ v_[167] = -0.1104774 * v_[45] + 0.0004405 * v_[193] + 0.881 * v_[191] + 0.881 * v_[83] + 0.1104774 * v_[231] + 0.0004405 * v_[211] - -8.81e-05 * (v_[169] + v_[168]);
+ v_[166] = -0.47422804 * v_[192] + -0.0825825 * v_[163] + 0.47422804 * v_[135] + 3.146 * v_[136] + -0.0825825 * v_[203] + v_[167];
+ v_[165] = -1 * v_[166];
+ v_[184] = v_[189] * v_[23] + v_[75] * v_[22] + v_[187] * v_[209] + (- v_[160]) * x_in[25];
+ v_[215] = v_[228] * v_[198];
+ v_[160] = v_[142] * v_[160];
+ v_[176] = v_[39] * v_[233] + v_[228] * v_[146];
+ v_[23] = v_[232] * v_[23] + v_[189] * v_[22] + v_[11] * v_[209] + v_[158] * x_in[25];
+ v_[209] = v_[120] * v_[184] + v_[122] * v_[23] + (- v_[141]) * x_in[26];
+ v_[22] = -0.35 * v_[233];
+ v_[175] = v_[100] * v_[22] + v_[145] * v_[204];
+ v_[141] = v_[129] * v_[141];
+ v_[145] = v_[100] * v_[157] + v_[145] * v_[147];
+ v_[168] = 8.81e-05 * v_[193] + 0.881 * v_[209] + -0.881 * (v_[175] - v_[141]) + 0.1104774 * v_[145] + -8.81e-05 * v_[211] - 0.0004405 * v_[168];
+ v_[174] = v_[121] * v_[184] + v_[120] * v_[23] + v_[188] * x_in[26];
+ v_[22] = v_[147] * v_[22] + v_[157] * v_[204] - v_[129] * v_[188];
+ jac[134] = 0.1104774 * v_[209] + -0.0004405 * v_[174] + 0.1104774 * (v_[141] - v_[175]) + 0.025941 * v_[145] - 0.0004405 * v_[22];
+ v_[145] = -8.81e-05 * v_[45] + 0.881 * v_[174] + 0.881 * v_[22] + -8.81e-05 * v_[231] + 0.0004405 * v_[145] - 0.1104774 * v_[169];
+ v_[228] = v_[39] * v_[228] + v_[228] * v_[39];
+ v_[169] = 3.146 * v_[184] + -3.146 * (v_[215] - v_[160]) + 0.47422804 * v_[176] + v_[120] * v_[168] + v_[121] * v_[145] - -0.0825825 * v_[228];
+ v_[158] = v_[233] * v_[198] - v_[142] * v_[158];
+ v_[233] = v_[146] * v_[233] + v_[233] * v_[146];
+ v_[188] = 3.146 * v_[23] + 3.146 * v_[158] + -0.0825825 * v_[176] + v_[122] * v_[168] + v_[120] * v_[145] - 0.47422804 * v_[233];
+ v_[75] = v_[116] * v_[169] + v_[75] * v_[227] + v_[117] * v_[188] + v_[189] * v_[230];
+ jac[130] = v_[105] * v_[165] + v_[113] * v_[75];
+ jac[131] = v_[79] * v_[165] + v_[112] * v_[75];
+ v_[22] = -0.1104774 * v_[191] + -8.81e-05 * v_[174] + 0.026409 * v_[45] + -8.81e-05 * v_[22] - 0.1104774 * v_[83] - 0.025713 * v_[231];
+ v_[141] = 0.0004405 * v_[191] + 8.81e-05 * v_[209] + 0.000468 * v_[193] + 0.0004405 * v_[83] + -8.81e-05 * (v_[175] - v_[141]) + -0.000227999999999999 * v_[211];
+ v_[167] = 0.087136 * v_[192] + 0.007418 * v_[163] + 0.007418 * v_[203] + 0.000102 * (0 - v_[228]) + v_[120] * v_[22] + v_[121] * v_[141] + -0.35 * v_[167] - 0.47422804 * v_[136] - 0.084376 * v_[135] - 2.1e-05 * v_[176];
+ v_[141] = 0.007418 * v_[192] + 0.005495 * v_[163] + 0.002735 * v_[203] + -0.0825825 * v_[136] + 0.000102 * v_[176] + v_[131] * v_[22] + v_[120] * v_[141] - 0.007418 * v_[135] - 2.1e-05 * (0 - v_[233]);
+ jac[132] = v_[117] * v_[167] + v_[189] * v_[226] + v_[115] * v_[141] + v_[232] * v_[229] + -0.08 * v_[166];
+ jac[126] = v_[96] * v_[165] + v_[111] * v_[75] + -1 * jac[132];
+ jac[133] = 2.1e-05 * v_[192] + 0.000102 * v_[163] + 0.47422804 * v_[184] + 0.0825825 * v_[23] + 0.47422804 * (v_[160] - v_[215]) + 0.081641 * v_[176] + 2.1e-05 * v_[135] + v_[88] * v_[168] + v_[134] * v_[145] + jac[134] - -0.0825825 * v_[158] - 0.000102 * v_[203] - 0.007418 * (v_[233] - v_[228]);
+ v_[11] = v_[95] * v_[169] + v_[187] * v_[227] + v_[93] * v_[188] + v_[11] * v_[230] + -1 * jac[133];
+ v_[141] = v_[125] * v_[167] + v_[139] * v_[226] + v_[117] * v_[141] + v_[189] * v_[229];
+ jac[127] = v_[97] * v_[11] + v_[127] * v_[141] + v_[108] * v_[165] + v_[106] * v_[75];
+ v_[188] = v_[117] * v_[169] + v_[189] * v_[227] + v_[115] * v_[188] + v_[232] * v_[230];
+ jac[128] = v_[79] * v_[11] + v_[97] * v_[141] + 0.207 * v_[188] + v_[104] * v_[165] + v_[128] * v_[75];
+ jac[129] = -1 * v_[188];
+ v_[188] = -1 * sin(x_in[8]);
+ v_[141] = cos(x_in[8]);
+ v_[11] = - v_[141];
+ v_[75] = v_[188] * v_[39] + v_[141] * v_[146];
+ v_[165] = v_[188] * v_[171] + v_[11] * v_[172] + (- v_[75]) * x_in[26];
+ v_[169] = v_[11] * v_[39] + v_[188] * v_[146];
+ v_[172] = v_[141] * v_[171] + v_[188] * v_[172] + v_[169] * x_in[26];
+ v_[171] = - v_[141];
+ v_[232] = 0.35 * v_[188];
+ v_[189] = v_[188] * v_[10] + v_[171] * v_[155] + v_[232] * v_[142];
+ v_[230] = 0.35 * v_[141];
+ v_[227] = v_[141] * v_[10] + v_[188] * v_[155] + v_[230] * v_[142];
+ v_[167] = v_[100] * v_[189] + v_[75] * v_[161] - (v_[147] * v_[227] + v_[169] * v_[152]);
+ v_[139] = v_[75] * v_[129];
+ v_[229] = v_[169] * v_[129];
+ v_[226] = v_[147] * v_[169] + v_[169] * v_[147];
+ v_[187] = v_[100] * v_[75] + v_[75] * v_[100];
+ v_[233] = -0.1104774 * v_[165] + 0.0004405 * v_[172] + 0.881 * v_[167] + 0.1104774 * v_[139] + 0.0004405 * v_[229] - -8.81e-05 * (v_[226] + v_[187]);
+ v_[158] = -1 * v_[233];
+ v_[228] = v_[188] * v_[12] + v_[171] * v_[217] + v_[232] * v_[212] + (- v_[227]) * x_in[26];
+ v_[145] = v_[75] * v_[204];
+ v_[227] = v_[129] * v_[227];
+ v_[75] = v_[100] * v_[169] + v_[75] * v_[147];
+ v_[187] = 8.81e-05 * v_[172] + 0.881 * v_[228] + -0.881 * (v_[145] - v_[227]) + 0.1104774 * v_[75] + -8.81e-05 * v_[229] - 0.0004405 * v_[187];
+ v_[217] = v_[141] * v_[12] + v_[188] * v_[217] + v_[230] * v_[212] + v_[189] * x_in[26];
+ v_[189] = v_[169] * v_[204] - v_[129] * v_[189];
+ jac[152] = 0.1104774 * v_[228] + -0.0004405 * v_[217] + 0.1104774 * (v_[227] - v_[145]) + 0.025941 * v_[75] - 0.0004405 * v_[189];
+ v_[75] = -8.81e-05 * v_[165] + 0.881 * v_[217] + 0.881 * v_[189] + -8.81e-05 * v_[139] + 0.0004405 * v_[75] - 0.1104774 * v_[226];
+ v_[226] = v_[120] * v_[187] + v_[188] * v_[185] + v_[121] * v_[75] + v_[141] * v_[223];
+ v_[171] = v_[122] * v_[187] + v_[171] * v_[185] + v_[120] * v_[75] + v_[188] * v_[223];
+ v_[169] = v_[116] * v_[226] + v_[117] * v_[171];
+ jac[148] = v_[105] * v_[158] + v_[113] * v_[169];
+ jac[149] = v_[79] * v_[158] + v_[112] * v_[169];
+ v_[189] = -8.81e-05 * v_[217] + 0.026409 * v_[165] + -8.81e-05 * v_[189] - 0.1104774 * v_[167] - 0.025713 * v_[139];
+ v_[227] = 8.81e-05 * v_[228] + 0.000468 * v_[172] + 0.0004405 * v_[167] + -8.81e-05 * (v_[145] - v_[227]) + -0.000227999999999999 * v_[229];
+ v_[141] = v_[120] * v_[189] + v_[188] * v_[225] + v_[121] * v_[227] + v_[141] * v_[221] + -0.35 * v_[233];
+ v_[227] = v_[131] * v_[189] + v_[11] * v_[225] + v_[120] * v_[227] + v_[188] * v_[221];
+ jac[150] = v_[117] * v_[141] + v_[115] * v_[227] + -0.08 * v_[233];
+ jac[144] = v_[96] * v_[158] + v_[111] * v_[169] + -1 * jac[150];
+ jac[151] = v_[88] * v_[187] + v_[232] * v_[185] + v_[134] * v_[75] + v_[230] * v_[223] + jac[152];
+ v_[75] = v_[95] * v_[226] + v_[93] * v_[171] + -1 * jac[151];
+ v_[227] = v_[125] * v_[141] + v_[117] * v_[227];
+ jac[145] = v_[97] * v_[75] + v_[127] * v_[227] + v_[108] * v_[158] + v_[106] * v_[169];
+ v_[171] = v_[117] * v_[226] + v_[115] * v_[171];
+ jac[146] = v_[79] * v_[75] + v_[97] * v_[227] + 0.207 * v_[171] + v_[104] * v_[158] + v_[128] * v_[169];
+ jac[147] = -1 * v_[171];
+ v_[171] = -1 * sin(x_in[9]);
+ v_[227] = cos(x_in[9]);
+ v_[75] = v_[171] * x_in[19] + v_[227] * x_in[20];
+ v_[169] = v_[75] * x_in[27];
+ v_[158] = 0.3735 * v_[227];
+ v_[226] = 0.3735 * v_[171];
+ v_[141] = 0.207 * v_[171];
+ v_[187] = - v_[171];
+ v_[230] = v_[158] * x_in[20] + v_[226] * x_in[19] + v_[141] * x_in[18] + v_[187] * x_in[23] + v_[227] * x_in[22];
+ v_[232] = v_[227] * v_[28] + v_[171] * v_[19] + (- v_[230]) * x_in[27];
+ v_[223] = v_[54] * x_in[19] + v_[63] * x_in[20];
+ v_[185] = - v_[171];
+ v_[233] = v_[227] * x_in[19] + v_[185] * x_in[20];
+ v_[189] = v_[52] * x_in[19] + v_[54] * x_in[20];
+ v_[11] = v_[223] * v_[75] + v_[233] * v_[189];
+ v_[188] = 0.207 * x_in[20] + x_in[21];
+ v_[221] = v_[233] * v_[188];
+ v_[225] = x_in[18] + x_in[27];
+ v_[145] = v_[225] * v_[230];
+ v_[228] = v_[75] * v_[225];
+ v_[229] = v_[86] * v_[233];
+ v_[167] = v_[102] * v_[169] + (- v_[229]) * x_in[28];
+ v_[172] = v_[102] * v_[233];
+ v_[217] = v_[86] * v_[169] + v_[172] * x_in[28];
+ v_[139] = v_[86] * v_[223] + v_[102] * v_[225];
+ v_[165] = v_[189] + x_in[28];
+ v_[212] = v_[139] * v_[75] + v_[229] * v_[165];
+ v_[12] = v_[85] * v_[230] + v_[68] * v_[75];
+ v_[168] = v_[119] * x_in[20] + v_[77] * x_in[19] + v_[81] * x_in[18] + v_[82] * x_in[23] + v_[54] * x_in[22];
+ v_[23] = v_[87] * v_[188] + v_[85] * v_[168] + v_[68] * v_[189];
+ v_[176] = v_[102] * v_[223] + v_[101] * v_[225];
+ v_[160] = v_[86] * v_[230] + v_[84] * v_[75];
+ v_[215] = v_[92] * v_[188] + v_[86] * v_[168] + v_[84] * v_[189];
+ v_[184] = v_[139] * v_[12] + v_[229] * v_[23] - (v_[176] * v_[160] + v_[172] * v_[215]);
+ v_[203] = v_[176] * v_[75] + v_[172] * v_[165];
+ v_[135] = v_[89] * v_[229] + v_[90] * v_[172];
+ v_[163] = v_[89] * v_[167] + v_[103] * v_[217] + (- v_[135]) * x_in[29];
+ v_[192] = v_[103] * v_[229] + v_[89] * v_[172];
+ v_[166] = v_[90] * v_[167] + v_[89] * v_[217] + v_[192] * x_in[29];
+ v_[22] = -0.35 * v_[167] + v_[232];
+ v_[136] = v_[89] * v_[139] + v_[90] * v_[176];
+ v_[175] = v_[89] * v_[12] + v_[91] * v_[160] + v_[64] * v_[75];
+ v_[209] = v_[89] * v_[23] + v_[91] * v_[215] + v_[64] * v_[165];
+ v_[211] = v_[103] * v_[139] + v_[89] * v_[176];
+ v_[83] = v_[90] * v_[12] + v_[89] * v_[160] + v_[133] * v_[75];
+ v_[191] = v_[90] * v_[23] + v_[89] * v_[215] + v_[133] * v_[165];
+ v_[193] = v_[136] * v_[175] + v_[135] * v_[209] - (v_[211] * v_[83] + v_[192] * v_[191]);
+ v_[174] = v_[165] + x_in[29];
+ v_[231] = v_[136] * v_[75] + v_[135] * v_[174];
+ v_[45] = v_[211] * v_[75] + v_[192] * v_[174];
+ v_[157] = v_[211] * v_[192] + v_[192] * v_[211];
+ v_[173] = v_[136] * v_[135] + v_[135] * v_[136];
+ v_[186] = -0.1104774 * v_[163] + 0.0004405 * v_[166] + 0.881 * v_[22] + 0.881 * v_[193] + 0.1104774 * v_[231] + 0.0004405 * v_[45] - -8.81e-05 * (v_[157] + v_[173]);
+ v_[220] = -0.47422804 * v_[167] + -0.0825825 * v_[217] + 3.146 * v_[232] + 0.47422804 * v_[212] + 3.146 * v_[184] + -0.0825825 * v_[203] + v_[186];
+ v_[219] = 0.5824264 * v_[169] + 3.44 * v_[232] + 0.1466472 * v_[11] + -3.44 * (v_[221] - v_[145]) + -0.5824264 * v_[228] + v_[220];
+ v_[183] = -0.207 * v_[227];
+ v_[181] = v_[189] * x_in[27];
+ v_[180] = 0 - v_[168];
+ v_[179] = v_[54] * v_[28] + v_[52] * v_[19] + v_[180] * x_in[27];
+ v_[224] = v_[223] * v_[189];
+ v_[182] = v_[223] * v_[188];
+ v_[178] = v_[225] * v_[168];
+ v_[7] = v_[189] * v_[225];
+ v_[44] = 0 - v_[139];
+ v_[4] = v_[101] * x_in[45] + v_[102] * v_[181] + v_[44] * x_in[28];
+ v_[124] = v_[102] * x_in[45] + v_[86] * v_[181] + v_[176] * x_in[28];
+ v_[153] = 0.08 * x_in[45] + v_[179];
+ v_[156] = v_[139] * v_[165];
+ v_[5] = v_[139] * v_[23] - v_[176] * v_[215];
+ v_[222] = v_[176] * v_[165];
+ v_[216] = 0 - v_[136];
+ v_[214] = v_[89] * v_[4] + v_[103] * v_[124] + v_[216] * x_in[29];
+ v_[213] = v_[90] * v_[4] + v_[89] * v_[124] + v_[211] * x_in[29];
+ v_[210] = -0.35 * v_[4] + v_[153];
+ v_[190] = v_[136] * v_[209] - v_[211] * v_[191];
+ v_[110] = v_[136] * v_[174];
+ v_[118] = v_[211] * v_[174];
+ v_[80] = v_[211] * v_[211];
+ v_[31] = v_[136] * v_[136];
+ v_[196] = -0.1104774 * v_[214] + 0.0004405 * v_[213] + 0.881 * v_[210] + 0.881 * v_[190] + 0.1104774 * v_[110] + 0.0004405 * v_[118] - -8.81e-05 * (v_[80] + v_[31]);
+ v_[130] = 0.1466472 * x_in[45] + 0.5824264 * v_[181] + 3.44 * v_[179] + 0.1466472 * v_[224] + -3.44 * (v_[182] - v_[178]) + -0.5824264 * v_[7] + -0.47422804 * v_[4] + -0.0825825 * v_[124] + 3.146 * v_[153] + 0.47422804 * v_[156] + 3.146 * v_[5] + -0.0825825 * v_[222] + v_[196];
+ v_[206] = 0.3735 * v_[171];
+ v_[72] = -0.3735 * v_[227];
+ v_[201] = v_[206] * x_in[20] + v_[72] * x_in[19] + v_[183] * x_in[18] + v_[227] * x_in[23] + v_[171] * x_in[22];
+ v_[200] = v_[187] * v_[28] + v_[227] * v_[19] + v_[201] * x_in[27];
+ v_[162] = (- v_[233]) * x_in[27];
+ v_[199] = v_[75] * v_[188] - v_[225] * v_[201];
+ v_[195] = v_[233] * v_[225];
+ v_[194] = v_[85] * v_[200] + v_[68] * v_[162] + (- v_[160]) * x_in[28];
+ v_[149] = v_[98] * x_in[20] + v_[78] * x_in[19] + v_[74] * x_in[18] + v_[54] * x_in[23] + v_[52] * x_in[22];
+ v_[2] = 0.08 * v_[225] + v_[149];
+ v_[138] = v_[139] * v_[201] + v_[229] * v_[2];
+ v_[160] = v_[165] * v_[160] + v_[75] * v_[215];
+ v_[154] = v_[139] * v_[172] + v_[229] * v_[176];
+ v_[144] = v_[86] * v_[200] + v_[84] * v_[162] + v_[12] * x_in[28];
+ v_[59] = v_[89] * v_[194] + v_[91] * v_[144] + v_[64] * v_[162] + (- v_[83]) * x_in[29];
+ v_[150] = -0.35 * v_[172] + v_[201];
+ v_[114] = -0.35 * v_[176] + v_[2];
+ v_[159] = v_[136] * v_[150] + v_[135] * v_[114];
+ v_[83] = v_[174] * v_[83] + v_[75] * v_[191];
+ v_[135] = v_[136] * v_[192] + v_[135] * v_[211];
+ v_[137] = v_[174] * v_[75] + v_[75] * v_[174];
+ v_[173] = 0.1104774 * v_[162] + 8.81e-05 * v_[166] + 0.881 * v_[59] + -0.881 * (v_[159] - v_[83]) + 0.1104774 * v_[135] + -8.81e-05 * v_[45] - 0.0004405 * (v_[137] + v_[173]);
+ v_[205] = v_[90] * v_[194] + v_[89] * v_[144] + v_[133] * v_[162] + v_[175] * x_in[29];
+ v_[150] = v_[211] * v_[150] + v_[192] * v_[114] - (v_[174] * v_[175] + v_[75] * v_[209]);
+ jac[173] = 0.1104774 * v_[59] + -0.0004405 * v_[205] + 0.026181 * v_[162] + 0.1104774 * (v_[83] - v_[159]) + 0.025941 * v_[135] - 0.0004405 * v_[150];
+ v_[137] = -0.0004405 * v_[162] + -8.81e-05 * v_[163] + 0.881 * v_[205] + 0.881 * v_[150] + -8.81e-05 * v_[231] + 0.0004405 * v_[135] - 0.1104774 * (v_[137] + v_[157]);
+ v_[135] = v_[165] * v_[75] + v_[75] * v_[165];
+ v_[229] = v_[139] * v_[229] + v_[229] * v_[139];
+ v_[157] = 3.146 * v_[194] + 0.47422804 * v_[162] + -3.146 * (v_[138] - v_[160]) + 0.47422804 * v_[154] + v_[89] * v_[173] + v_[90] * v_[137] - -0.0825825 * (v_[135] + v_[229]);
+ v_[12] = v_[176] * v_[201] + v_[172] * v_[2] - (v_[165] * v_[12] + v_[75] * v_[23]);
+ v_[172] = v_[176] * v_[172] + v_[172] * v_[176];
+ v_[175] = 3.146 * v_[144] + 0.0825825 * v_[162] + 3.146 * v_[12] + -0.0825825 * v_[154] + v_[91] * v_[173] + v_[89] * v_[137] - 0.47422804 * (v_[135] + v_[172]);
+ v_[192] = v_[189] * v_[75] + v_[75] * v_[189];
+ v_[202] = 3.44 * v_[200] + -0.5824264 * v_[162] + 3.44 * v_[199] + -0.5824264 * v_[195] + v_[85] * v_[157] + v_[86] * v_[175] - 0.1466472 * v_[192];
+ v_[55] = v_[82] * v_[28] + v_[54] * v_[19] + v_[149] * x_in[27];
+ v_[9] = 0 - v_[223];
+ v_[6] = v_[9] * x_in[27];
+ v_[99] = v_[189] * v_[188] - v_[225] * v_[149];
+ v_[207] = v_[223] * v_[225];
+ v_[143] = 0 - v_[215];
+ v_[1] = v_[87] * v_[13] + v_[85] * v_[55] + v_[68] * v_[6] + v_[143] * x_in[28];
+ v_[0] = v_[6] + x_in[46];
+ v_[148] = v_[139] * v_[2];
+ v_[140] = v_[165] * v_[215];
+ v_[234] = v_[139] * v_[176];
+ v_[235] = v_[0] + x_in[47];
+ v_[236] = v_[92] * v_[13] + v_[86] * v_[55] + v_[84] * v_[6] + v_[23] * x_in[28];
+ v_[237] = 0 - v_[191];
+ v_[238] = v_[89] * v_[1] + v_[91] * v_[236] + v_[64] * v_[0] + v_[237] * x_in[29];
+ v_[239] = v_[136] * v_[114];
+ v_[240] = v_[174] * v_[191];
+ v_[241] = v_[136] * v_[211];
+ v_[242] = v_[174] * v_[174];
+ v_[31] = 0.1104774 * v_[235] + 8.81e-05 * v_[213] + 0.881 * v_[238] + -0.881 * (v_[239] - v_[240]) + 0.1104774 * v_[241] + -8.81e-05 * v_[118] - 0.0004405 * (v_[242] + v_[31]);
+ v_[243] = v_[90] * v_[1] + v_[89] * v_[236] + v_[133] * v_[0] + v_[209] * x_in[29];
+ v_[244] = v_[211] * v_[114] - v_[174] * v_[209];
+ v_[242] = -0.0004405 * v_[235] + -8.81e-05 * v_[214] + 0.881 * v_[243] + 0.881 * v_[244] + -8.81e-05 * v_[110] + 0.0004405 * v_[241] - 0.1104774 * (v_[242] + v_[80]);
+ v_[80] = v_[165] * v_[165];
+ v_[245] = v_[139] * v_[139];
+ v_[246] = 3.146 * v_[1] + 0.47422804 * v_[0] + -3.146 * (v_[148] - v_[140]) + 0.47422804 * v_[234] + v_[89] * v_[31] + v_[90] * v_[242] - -0.0825825 * (v_[80] + v_[245]);
+ v_[247] = v_[176] * v_[2] - v_[165] * v_[23];
+ v_[248] = v_[176] * v_[176];
+ v_[249] = 3.146 * v_[236] + 0.0825825 * v_[0] + 3.146 * v_[247] + -0.0825825 * v_[234] + v_[91] * v_[31] + v_[89] * v_[242] - 0.47422804 * (v_[80] + v_[248]);
+ v_[250] = v_[225] * v_[225];
+ v_[251] = v_[189] * v_[189];
+ v_[252] = 3.44 * v_[55] + -0.5824264 * v_[6] + 3.44 * v_[99] + -0.5824264 * v_[207] + v_[85] * v_[246] + v_[86] * v_[249] - 0.1466472 * (v_[250] + v_[251]);
+ jac[166] = v_[52] * v_[219] + v_[171] * v_[130] + v_[54] * v_[202] + v_[227] * v_[252];
+ jac[167] = v_[54] * v_[219] + v_[227] * v_[130] + v_[82] * v_[202] + v_[187] * v_[252];
+ v_[150] = -0.1104774 * v_[22] + -8.81e-05 * v_[205] + 0.026409 * v_[163] + -8.81e-05 * v_[150] - 0.1104774 * v_[193] - 0.025713 * v_[231];
+ v_[83] = 0.0004405 * v_[22] + 8.81e-05 * v_[59] + 0.000468 * v_[166] + 0.0004405 * v_[193] + -8.81e-05 * (v_[159] - v_[83]) + -0.000227999999999999 * v_[45];
+ v_[186] = 2.1e-05 * v_[162] + 0.087136 * v_[167] + 0.007418 * v_[217] + -0.47422804 * v_[232] + 0.007418 * v_[203] + 0.000102 * (v_[135] - v_[229]) + v_[89] * v_[150] + v_[90] * v_[83] + -0.35 * v_[186] - 0.47422804 * v_[184] - 0.084376 * v_[212] - 2.1e-05 * v_[154];
+ v_[83] = 0.000102 * v_[162] + 0.007418 * v_[167] + 0.005495 * v_[217] + -0.0825825 * v_[232] + 0.002735 * v_[203] + -0.0825825 * v_[184] + 0.000102 * v_[154] + v_[103] * v_[150] + v_[89] * v_[83] - 0.007418 * v_[212] - 2.1e-05 * (v_[135] - v_[172]);
+ v_[150] = v_[223] * v_[233] + v_[233] * v_[223];
+ jac[171] = -5.1e-05 * v_[162] + 0.022734 * v_[169] + 0.1466472 * v_[232] + 0.009466 * v_[11] + 0.1466472 * (v_[145] - v_[221]) + -5.1e-05 * v_[195] + v_[101] * v_[186] + v_[102] * v_[83] + 0.08 * v_[220] - 0.022734 * v_[228] - 3.6e-05 * (v_[192] - v_[150]);
+ jac[162] = v_[74] * v_[219] + v_[183] * v_[130] + v_[81] * v_[202] + v_[141] * v_[252] + jac[171];
+ jac[172] = 0.089871 * v_[162] + 2.1e-05 * v_[167] + 0.000102 * v_[217] + 0.47422804 * v_[194] + 0.0825825 * v_[144] + 0.47422804 * (v_[160] - v_[138]) + 0.081641 * v_[154] + 2.1e-05 * v_[212] + v_[64] * v_[173] + v_[133] * v_[137] + jac[173] - -0.0825825 * v_[12] - 0.000102 * v_[203] - 0.007418 * (v_[172] - v_[229]);
+ v_[201] = v_[223] * v_[201] + v_[233] * v_[149] - (v_[189] * v_[230] + v_[75] * v_[168]);
+ jac[165] = -0.1466472 * v_[162] + 3.44 * v_[201] + 0.1466472 * v_[195] + v_[87] * v_[157] + v_[92] * v_[175] - -0.5824264 * (v_[192] + v_[150]);
+ v_[201] = 0.144171 * v_[162] + 3.6e-05 * v_[169] + -0.5824264 * v_[200] + -0.5824264 * v_[199] + 3.6e-05 * v_[228] + 0.022734 * (0 - v_[150]) + v_[68] * v_[157] + v_[84] * v_[175] + jac[172] - 0.1466472 * v_[201] - -0.123672 * v_[195] - -5.1e-05 * v_[11];
+ v_[247] = -5.1e-05 * x_in[45] + 0.144171 * v_[6] + 3.6e-05 * v_[181] + -0.1466472 * v_[13] + -0.5824264 * v_[55] + -0.5824264 * v_[99] + 3.6e-05 * v_[7] + 0.022734 * (v_[250] - v_[223] * v_[223]) + v_[68] * v_[246] + v_[84] * v_[249] + 0.089871 * v_[0] + 2.1e-05 * v_[4] + 0.000102 * v_[124] + 0.47422804 * v_[1] + 0.0825825 * v_[236] + 0.47422804 * (v_[140] - v_[148]) + 0.081641 * v_[234] + 2.1e-05 * v_[156] + v_[64] * v_[31] + v_[133] * v_[242] + 0.1104774 * v_[238] + -0.0004405 * v_[243] + 0.026181 * v_[235] + 0.1104774 * (v_[240] - v_[239]) + 0.025941 * v_[241] - 0.0004405 * v_[244] - -0.0825825 * v_[247] - 0.000102 * v_[222] - 0.007418 * (v_[248] - v_[245]) - 0.1466472 * (v_[223] * v_[149] - v_[189] * v_[168]) - -0.123672 * v_[207] - -5.1e-05 * v_[224];
+ v_[83] = 3.6e-05 * v_[162] + 0.134705 * v_[169] + 0.5824264 * v_[232] + -0.133138 * v_[228] + -0.5824264 * (v_[221] - v_[145]) + 0.022734 * v_[11] + v_[102] * v_[186] + v_[86] * v_[83] - 3.6e-05 * v_[195] - -5.1e-05 * (0 - v_[192]);
+ v_[244] = -0.1104774 * v_[210] + -8.81e-05 * v_[243] + 0.026409 * v_[214] + -8.81e-05 * v_[244] - 0.1104774 * v_[190] - 0.025713 * v_[110];
+ v_[240] = 0.0004405 * v_[210] + 8.81e-05 * v_[238] + 0.000468 * v_[213] + 0.0004405 * v_[190] + -8.81e-05 * (v_[239] - v_[240]) + -0.000227999999999999 * v_[118];
+ v_[245] = 2.1e-05 * v_[0] + 0.087136 * v_[4] + 0.007418 * v_[124] + -0.47422804 * v_[153] + 0.007418 * v_[222] + 0.000102 * (v_[80] - v_[245]) + v_[89] * v_[244] + v_[90] * v_[240] + -0.35 * v_[196] - 0.47422804 * v_[5] - 0.084376 * v_[156] - 2.1e-05 * v_[234];
+ v_[248] = 0.000102 * v_[0] + 0.007418 * v_[4] + 0.005495 * v_[124] + -0.0825825 * v_[153] + 0.002735 * v_[222] + -0.0825825 * v_[5] + 0.000102 * v_[234] + v_[103] * v_[244] + v_[89] * v_[240] - 0.007418 * v_[156] - 2.1e-05 * (v_[80] - v_[248]);
+ v_[251] = 0.022734 * x_in[45] + 3.6e-05 * v_[6] + 0.134705 * v_[181] + 0.5824264 * v_[179] + -0.133138 * v_[7] + -0.5824264 * (v_[182] - v_[178]) + 0.022734 * v_[224] + v_[102] * v_[245] + v_[86] * v_[248] - 3.6e-05 * v_[207] - -5.1e-05 * (v_[250] - v_[251]);
+ jac[163] = v_[52] * v_[201] + v_[171] * v_[247] + v_[54] * v_[83] + v_[227] * v_[251] + v_[78] * v_[219] + v_[72] * v_[130] + v_[77] * v_[202] + v_[226] * v_[252];
+ jac[164] = v_[54] * v_[201] + v_[227] * v_[247] + v_[63] * v_[83] + v_[185] * v_[251] + 0.207 * jac[165] + v_[98] * v_[219] + v_[206] * v_[130] + v_[119] * v_[202] + v_[158] * v_[252];
+ v_[251] = -1 * sin(x_in[10]);
+ v_[83] = - v_[251];
+ v_[247] = cos(x_in[10]);
+ v_[201] = - v_[247];
+ v_[252] = v_[251] * v_[223] + v_[201] * v_[225];
+ v_[202] = v_[83] * x_in[45] + v_[201] * v_[181] + (- v_[252]) * x_in[28];
+ v_[206] = v_[201] * v_[223] + v_[83] * v_[225];
+ v_[181] = v_[201] * x_in[45] + v_[251] * v_[181] + v_[206] * x_in[28];
+ v_[130] = v_[252] * v_[165];
+ v_[219] = - v_[251];
+ v_[185] = - v_[247];
+ v_[158] = 0.08 * v_[251];
+ v_[227] = v_[219] * v_[188] + v_[185] * v_[168] + v_[158] * v_[189];
+ v_[72] = - v_[247];
+ v_[247] = 0.08 * v_[247];
+ v_[226] = v_[72] * v_[188] + v_[251] * v_[168] + v_[247] * v_[189];
+ v_[171] = v_[139] * v_[227] + v_[252] * v_[23] - (v_[176] * v_[226] + v_[206] * v_[215]);
+ v_[250] = v_[206] * v_[165];
+ v_[207] = v_[89] * v_[252] + v_[90] * v_[206];
+ v_[7] = v_[89] * v_[202] + v_[103] * v_[181] + (- v_[207]) * x_in[29];
+ v_[178] = v_[103] * v_[252] + v_[89] * v_[206];
+ v_[182] = v_[90] * v_[202] + v_[89] * v_[181] + v_[178] * x_in[29];
+ v_[224] = -0.35 * v_[202];
+ v_[179] = v_[89] * v_[227] + v_[91] * v_[226];
+ v_[80] = v_[90] * v_[227] + v_[89] * v_[226];
+ v_[234] = v_[136] * v_[179] + v_[207] * v_[209] - (v_[211] * v_[80] + v_[178] * v_[191]);
+ v_[222] = v_[207] * v_[174];
+ v_[5] = v_[178] * v_[174];
+ v_[156] = v_[211] * v_[178] + v_[178] * v_[211];
+ v_[153] = v_[136] * v_[207] + v_[207] * v_[136];
+ v_[196] = -0.1104774 * v_[7] + 0.0004405 * v_[182] + 0.881 * v_[224] + 0.881 * v_[234] + 0.1104774 * v_[222] + 0.0004405 * v_[5] - -8.81e-05 * (v_[156] + v_[153]);
+ v_[239] = -0.47422804 * v_[202] + -0.0825825 * v_[181] + 0.47422804 * v_[130] + 3.146 * v_[171] + -0.0825825 * v_[250] + v_[196];
+ v_[238] = v_[219] * v_[13] + v_[185] * v_[55] + v_[158] * v_[6] + (- v_[226]) * x_in[28];
+ v_[118] = v_[252] * v_[2];
+ v_[226] = v_[165] * v_[226];
+ v_[190] = v_[139] * v_[206] + v_[252] * v_[176];
+ v_[6] = v_[72] * v_[13] + v_[251] * v_[55] + v_[247] * v_[6] + v_[227] * x_in[28];
+ v_[55] = v_[89] * v_[238] + v_[91] * v_[6] + (- v_[80]) * x_in[29];
+ v_[210] = -0.35 * v_[206];
+ v_[213] = v_[136] * v_[210] + v_[207] * v_[114];
+ v_[80] = v_[174] * v_[80];
+ v_[207] = v_[136] * v_[178] + v_[207] * v_[211];
+ v_[153] = 8.81e-05 * v_[182] + 0.881 * v_[55] + -0.881 * (v_[213] - v_[80]) + 0.1104774 * v_[207] + -8.81e-05 * v_[5] - 0.0004405 * v_[153];
+ v_[243] = v_[90] * v_[238] + v_[89] * v_[6] + v_[179] * x_in[29];
+ v_[210] = v_[211] * v_[210] + v_[178] * v_[114] - v_[174] * v_[179];
+ jac[191] = 0.1104774 * v_[55] + -0.0004405 * v_[243] + 0.1104774 * (v_[80] - v_[213]) + 0.025941 * v_[207] - 0.0004405 * v_[210];
+ v_[207] = -8.81e-05 * v_[7] + 0.881 * v_[243] + 0.881 * v_[210] + -8.81e-05 * v_[222] + 0.0004405 * v_[207] - 0.1104774 * v_[156];
+ v_[252] = v_[139] * v_[252] + v_[252] * v_[139];
+ v_[156] = 3.146 * v_[238] + -3.146 * (v_[118] - v_[226]) + 0.47422804 * v_[190] + v_[89] * v_[153] + v_[90] * v_[207] - -0.0825825 * v_[252];
+ v_[227] = v_[206] * v_[2] - v_[165] * v_[227];
+ v_[206] = v_[176] * v_[206] + v_[206] * v_[176];
+ v_[179] = 3.146 * v_[6] + 3.146 * v_[227] + -0.0825825 * v_[190] + v_[91] * v_[153] + v_[89] * v_[207] - 0.47422804 * v_[206];
+ jac[183] = v_[87] * v_[156] + v_[219] * v_[246] + v_[92] * v_[179] + v_[72] * v_[249];
+ v_[185] = v_[85] * v_[156] + v_[185] * v_[246] + v_[86] * v_[179] + v_[251] * v_[249];
+ jac[184] = v_[52] * v_[239] + v_[54] * v_[185];
+ jac[185] = v_[54] * v_[239] + v_[82] * v_[185];
+ v_[210] = -0.1104774 * v_[224] + -8.81e-05 * v_[243] + 0.026409 * v_[7] + -8.81e-05 * v_[210] - 0.1104774 * v_[234] - 0.025713 * v_[222];
+ v_[80] = 0.0004405 * v_[224] + 8.81e-05 * v_[55] + 0.000468 * v_[182] + 0.0004405 * v_[234] + -8.81e-05 * (v_[213] - v_[80]) + -0.000227999999999999 * v_[5];
+ v_[196] = 0.087136 * v_[202] + 0.007418 * v_[181] + 0.007418 * v_[250] + 0.000102 * (0 - v_[252]) + v_[89] * v_[210] + v_[90] * v_[80] + -0.35 * v_[196] - 0.47422804 * v_[171] - 0.084376 * v_[130] - 2.1e-05 * v_[190];
+ v_[80] = 0.007418 * v_[202] + 0.005495 * v_[181] + 0.002735 * v_[250] + -0.0825825 * v_[171] + 0.000102 * v_[190] + v_[103] * v_[210] + v_[89] * v_[80] - 0.007418 * v_[130] - 2.1e-05 * (0 - v_[206]);
+ jac[189] = v_[101] * v_[196] + v_[83] * v_[245] + v_[102] * v_[80] + v_[201] * v_[248] + 0.08 * v_[239];
+ jac[180] = v_[74] * v_[239] + v_[81] * v_[185] + jac[189];
+ jac[190] = 2.1e-05 * v_[202] + 0.000102 * v_[181] + 0.47422804 * v_[238] + 0.0825825 * v_[6] + 0.47422804 * (v_[226] - v_[118]) + 0.081641 * v_[190] + 2.1e-05 * v_[130] + v_[64] * v_[153] + v_[133] * v_[207] + jac[191] - -0.0825825 * v_[227] - 0.000102 * v_[250] - 0.007418 * (v_[206] - v_[252]);
+ v_[179] = v_[68] * v_[156] + v_[158] * v_[246] + v_[84] * v_[179] + v_[247] * v_[249] + jac[190];
+ v_[80] = v_[102] * v_[196] + v_[201] * v_[245] + v_[86] * v_[80] + v_[251] * v_[248];
+ jac[181] = v_[52] * v_[179] + v_[54] * v_[80] + v_[78] * v_[239] + v_[77] * v_[185];
+ jac[182] = v_[54] * v_[179] + v_[63] * v_[80] + 0.207 * jac[183] + v_[98] * v_[239] + v_[119] * v_[185];
+ v_[80] = -1 * sin(x_in[11]);
+ v_[179] = cos(x_in[11]);
+ v_[185] = - v_[179];
+ v_[239] = v_[80] * v_[139] + v_[179] * v_[176];
+ v_[196] = v_[80] * v_[4] + v_[185] * v_[124] + (- v_[239]) * x_in[29];
+ v_[201] = v_[185] * v_[139] + v_[80] * v_[176];
+ v_[124] = v_[179] * v_[4] + v_[80] * v_[124] + v_[201] * x_in[29];
+ v_[4] = - v_[179];
+ v_[251] = 0.35 * v_[80];
+ v_[248] = v_[80] * v_[23] + v_[4] * v_[215] + v_[251] * v_[165];
+ v_[245] = 0.35 * v_[179];
+ v_[156] = v_[179] * v_[23] + v_[80] * v_[215] + v_[245] * v_[165];
+ v_[247] = v_[136] * v_[248] + v_[239] * v_[209] - (v_[211] * v_[156] + v_[201] * v_[191]);
+ v_[158] = v_[239] * v_[174];
+ v_[249] = v_[201] * v_[174];
+ v_[246] = v_[211] * v_[201] + v_[201] * v_[211];
+ v_[206] = v_[136] * v_[239] + v_[239] * v_[136];
+ v_[227] = -0.1104774 * v_[196] + 0.0004405 * v_[124] + 0.881 * v_[247] + 0.1104774 * v_[158] + 0.0004405 * v_[249] - -8.81e-05 * (v_[246] + v_[206]);
+ v_[252] = v_[80] * v_[1] + v_[4] * v_[236] + v_[251] * v_[0] + (- v_[156]) * x_in[29];
+ v_[207] = v_[239] * v_[114];
+ v_[156] = v_[174] * v_[156];
+ v_[239] = v_[136] * v_[201] + v_[239] * v_[211];
+ v_[206] = 8.81e-05 * v_[124] + 0.881 * v_[252] + -0.881 * (v_[207] - v_[156]) + 0.1104774 * v_[239] + -8.81e-05 * v_[249] - 0.0004405 * v_[206];
+ v_[236] = v_[179] * v_[1] + v_[80] * v_[236] + v_[245] * v_[0] + v_[248] * x_in[29];
+ v_[248] = v_[201] * v_[114] - v_[174] * v_[248];
+ jac[209] = 0.1104774 * v_[252] + -0.0004405 * v_[236] + 0.1104774 * (v_[156] - v_[207]) + 0.025941 * v_[239] - 0.0004405 * v_[248];
+ v_[239] = -8.81e-05 * v_[196] + 0.881 * v_[236] + 0.881 * v_[248] + -8.81e-05 * v_[158] + 0.0004405 * v_[239] - 0.1104774 * v_[246];
+ v_[246] = v_[89] * v_[206] + v_[80] * v_[31] + v_[90] * v_[239] + v_[179] * v_[242];
+ v_[4] = v_[91] * v_[206] + v_[4] * v_[31] + v_[89] * v_[239] + v_[80] * v_[242];
+ jac[201] = v_[87] * v_[246] + v_[92] * v_[4];
+ v_[201] = v_[85] * v_[246] + v_[86] * v_[4];
+ jac[202] = v_[52] * v_[227] + v_[54] * v_[201];
+ jac[203] = v_[54] * v_[227] + v_[82] * v_[201];
+ v_[248] = -8.81e-05 * v_[236] + 0.026409 * v_[196] + -8.81e-05 * v_[248] - 0.1104774 * v_[247] - 0.025713 * v_[158];
+ v_[156] = 8.81e-05 * v_[252] + 0.000468 * v_[124] + 0.0004405 * v_[247] + -8.81e-05 * (v_[207] - v_[156]) + -0.000227999999999999 * v_[249];
+ v_[179] = v_[89] * v_[248] + v_[80] * v_[244] + v_[90] * v_[156] + v_[179] * v_[240] + -0.35 * v_[227];
+ v_[156] = v_[103] * v_[248] + v_[185] * v_[244] + v_[89] * v_[156] + v_[80] * v_[240];
+ jac[207] = v_[101] * v_[179] + v_[102] * v_[156] + 0.08 * v_[227];
+ jac[198] = v_[74] * v_[227] + v_[81] * v_[201] + jac[207];
+ jac[208] = v_[64] * v_[206] + v_[251] * v_[31] + v_[133] * v_[239] + v_[245] * v_[242] + jac[209];
+ v_[4] = v_[68] * v_[246] + v_[84] * v_[4] + jac[208];
+ v_[156] = v_[102] * v_[179] + v_[86] * v_[156];
+ jac[199] = v_[52] * v_[4] + v_[54] * v_[156] + v_[78] * v_[227] + v_[77] * v_[201];
+ jac[200] = v_[54] * v_[4] + v_[63] * v_[156] + 0.207 * jac[201] + v_[98] * v_[227] + v_[119] * v_[201];
+ v_[156] = -1 * sin(x_in[12]);
+ v_[4] = - v_[156];
+ v_[201] = cos(x_in[12]);
+ v_[227] = v_[4] * x_in[19] + v_[201] * x_in[20];
+ v_[179] = v_[227] * x_in[30];
+ v_[246] = - v_[156];
+ v_[239] = 0.3735 * v_[201];
+ v_[206] = -0.3735 * v_[156];
+ v_[245] = -0.207 * v_[156];
+ v_[251] = - v_[156];
+ v_[242] = - v_[201];
+ v_[31] = v_[239] * x_in[20] + v_[206] * x_in[19] + v_[245] * x_in[18] + v_[251] * x_in[23] + v_[242] * x_in[22];
+ v_[248] = v_[201] * v_[28] + v_[246] * v_[19] + (- v_[31]) * x_in[30];
+ v_[185] = v_[71] * x_in[19] + v_[42] * x_in[20];
+ v_[80] = - v_[201];
+ v_[240] = v_[80] * x_in[19] + v_[4] * x_in[20];
+ v_[244] = v_[42] * x_in[19] + v_[27] * x_in[20];
+ v_[207] = v_[185] * v_[227] + v_[240] * v_[244];
+ v_[252] = 0.207 * x_in[20] + -1 * x_in[21];
+ v_[249] = v_[240] * v_[252];
+ v_[247] = -1 * x_in[18] + x_in[30];
+ v_[124] = v_[247] * v_[31];
+ v_[236] = v_[227] * v_[247];
+ v_[158] = v_[62] * v_[240];
+ v_[196] = v_[70] * v_[179] + (- v_[158]) * x_in[31];
+ v_[0] = v_[70] * v_[240];
+ v_[1] = v_[62] * v_[179] + v_[0] * x_in[31];
+ v_[153] = -1 * v_[248];
+ v_[6] = v_[62] * v_[185] + v_[60] * v_[247];
+ v_[190] = -1 * v_[227];
+ v_[226] = -1 * v_[244] + x_in[31];
+ v_[118] = v_[6] * v_[190] + v_[158] * v_[226];
+ v_[238] = v_[61] * v_[31] + v_[40] * v_[227];
+ v_[250] = v_[69] * x_in[20] + v_[51] * x_in[19] + v_[56] * x_in[18] + v_[57] * x_in[23] + v_[58] * x_in[22];
+ v_[130] = v_[62] * v_[252] + v_[61] * v_[250] + v_[40] * v_[244];
+ v_[181] = v_[70] * v_[185] + v_[62] * v_[247];
+ v_[202] = v_[62] * v_[31] + v_[38] * v_[227];
+ v_[83] = v_[60] * v_[252] + v_[62] * v_[250] + v_[38] * v_[244];
+ v_[210] = v_[6] * v_[238] + v_[158] * v_[130] - (v_[181] * v_[202] + v_[0] * v_[83]);
+ v_[171] = v_[181] * v_[190] + v_[0] * v_[226];
+ v_[213] = v_[65] * v_[158] + v_[66] * v_[0];
+ v_[55] = v_[65] * v_[196] + v_[76] * v_[1] + (- v_[213]) * x_in[32];
+ v_[5] = v_[76] * v_[158] + v_[65] * v_[0];
+ v_[234] = v_[66] * v_[196] + v_[65] * v_[1] + v_[5] * x_in[32];
+ v_[224] = -0.35 * v_[196] + v_[153];
+ v_[182] = v_[65] * v_[6] + v_[66] * v_[181];
+ v_[243] = v_[226] + x_in[32];
+ v_[222] = v_[182] * v_[190] + v_[213] * v_[243];
+ v_[7] = v_[65] * v_[238] + v_[67] * v_[202] + v_[3] * v_[190];
+ v_[72] = v_[65] * v_[130] + v_[67] * v_[83] + v_[3] * v_[226];
+ v_[219] = v_[76] * v_[6] + v_[65] * v_[181];
+ v_[178] = v_[66] * v_[238] + v_[65] * v_[202] + v_[132] * v_[190];
+ v_[110] = v_[66] * v_[130] + v_[65] * v_[83] + v_[132] * v_[226];
+ v_[214] = v_[182] * v_[7] + v_[213] * v_[72] - (v_[219] * v_[178] + v_[5] * v_[110]);
+ v_[186] = v_[219] * v_[190] + v_[5] * v_[243];
+ v_[192] = -0.110125 * v_[55] + -0.000881 * v_[234] + 0.881 * v_[224] + 0.110125 * v_[222] + 0.881 * v_[214] + -0.000881 * v_[186];
+ v_[195] = -0.47422804 * v_[196] + 0.0825825 * v_[1] + 3.146 * v_[153] + 0.47422804 * v_[118] + 3.146 * v_[210] + 0.0825825 * v_[171] + v_[192];
+ v_[162] = 0.5824264 * v_[179] + 3.44 * v_[248] + 0.1466472 * v_[207] + -3.44 * (v_[249] - v_[124]) + -0.5824264 * v_[236] + -1 * v_[195];
+ v_[228] = 0.207 * v_[201];
+ v_[145] = v_[244] * x_in[30];
+ v_[221] = 0 - v_[250];
+ v_[11] = v_[27] * v_[28] + v_[50] * v_[19] + v_[221] * x_in[30];
+ v_[232] = v_[185] * v_[244];
+ v_[169] = v_[185] * v_[252];
+ v_[241] = v_[247] * v_[250];
+ v_[235] = v_[244] * v_[247];
+ v_[140] = 0 - v_[6];
+ v_[148] = v_[62] * x_in[48] + v_[70] * v_[145] + v_[140] * x_in[31];
+ v_[99] = v_[60] * x_in[48] + v_[62] * v_[145] + v_[181] * x_in[31];
+ v_[150] = -0.08 * x_in[48] + -1 * v_[11];
+ v_[175] = v_[6] * v_[226];
+ v_[157] = v_[6] * v_[130] - v_[181] * v_[83];
+ v_[199] = v_[181] * v_[226];
+ v_[200] = 0 - v_[182];
+ v_[233] = v_[65] * v_[148] + v_[76] * v_[99] + v_[200] * x_in[32];
+ v_[230] = v_[66] * v_[148] + v_[65] * v_[99] + v_[219] * x_in[32];
+ v_[75] = -0.35 * v_[148] + v_[150];
+ v_[172] = v_[182] * v_[243];
+ v_[12] = v_[182] * v_[72] - v_[219] * v_[110];
+ v_[229] = v_[219] * v_[243];
+ v_[137] = -0.110125 * v_[233] + -0.000881 * v_[230] + 0.881 * v_[75] + 0.110125 * v_[172] + 0.881 * v_[12] + -0.000881 * v_[229];
+ v_[173] = 0.1466472 * x_in[48] + 0.5824264 * v_[145] + 3.44 * v_[11] + 0.1466472 * v_[232] + -3.44 * (v_[169] - v_[241]) + -0.5824264 * v_[235] + -1 * (-0.47422804 * v_[148] + 0.0825825 * v_[99] + 3.146 * v_[150] + 0.47422804 * v_[175] + 3.146 * v_[157] + 0.0825825 * v_[199] + v_[137]);
+ v_[156] = 0.3735 * v_[156];
+ v_[144] = 0.3735 * v_[201];
+ v_[154] = v_[156] * x_in[20] + v_[144] * x_in[19] + v_[228] * x_in[18] + v_[201] * x_in[23] + v_[246] * x_in[22];
+ v_[160] = v_[251] * v_[28] + v_[242] * v_[19] + v_[154] * x_in[30];
+ v_[138] = (- v_[240]) * x_in[30];
+ v_[194] = v_[227] * v_[252] - v_[247] * v_[154];
+ v_[203] = v_[240] * v_[247];
+ v_[212] = v_[61] * v_[160] + v_[40] * v_[138] + (- v_[202]) * x_in[31];
+ v_[217] = -1 * v_[138];
+ v_[167] = -1 * v_[154];
+ v_[183] = v_[49] * x_in[20] + v_[53] * x_in[19] + v_[41] * x_in[18] + v_[27] * x_in[23] + v_[50] * x_in[22];
+ v_[141] = -0.08 * v_[247] + -1 * v_[183];
+ v_[220] = v_[6] * v_[167] + v_[158] * v_[141];
+ v_[202] = v_[226] * v_[202] + v_[190] * v_[83];
+ v_[135] = v_[6] * v_[0] + v_[158] * v_[181];
+ v_[184] = v_[62] * v_[160] + v_[38] * v_[138] + v_[238] * x_in[31];
+ v_[159] = v_[65] * v_[212] + v_[67] * v_[184] + v_[3] * v_[217] + (- v_[178]) * x_in[32];
+ v_[59] = -0.35 * v_[0] + v_[167];
+ v_[45] = -0.35 * v_[181] + v_[141];
+ v_[193] = v_[182] * v_[59] + v_[213] * v_[45];
+ v_[178] = v_[243] * v_[178] + v_[190] * v_[110];
+ v_[22] = v_[182] * v_[5] + v_[213] * v_[219];
+ v_[166] = v_[243] * v_[190] + v_[190] * v_[243];
+ v_[213] = 0.881 * v_[159] + 0.110125 * v_[217] + -0.881 * (v_[193] - v_[178]) + 0.110125 * v_[22] - -0.000881 * (v_[166] + v_[182] * v_[213] + v_[213] * v_[182]);
+ v_[205] = v_[66] * v_[212] + v_[65] * v_[184] + v_[132] * v_[217] + v_[7] * x_in[32];
+ v_[59] = v_[219] * v_[59] + v_[5] * v_[45] - (v_[243] * v_[7] + v_[190] * v_[72]);
+ jac[230] = 0.110125 * v_[159] + 0.000881 * v_[205] + 0.026181 * v_[217] + 0.110125 * (v_[178] - v_[193]) + 0.025941 * v_[22] - -0.000881 * v_[59];
+ v_[59] = 0.881 * v_[205] + 0.000881 * v_[217] + 0.881 * v_[59] + -0.000881 * v_[22] - 0.110125 * (v_[166] + v_[219] * v_[5] + v_[5] * v_[219]);
+ v_[205] = v_[226] * v_[190] + v_[190] * v_[226];
+ v_[158] = v_[6] * v_[158] + v_[158] * v_[6];
+ v_[166] = 3.146 * v_[212] + 0.47422804 * v_[217] + -3.146 * (v_[220] - v_[202]) + 0.47422804 * v_[135] + v_[65] * v_[213] + v_[66] * v_[59] - 0.0825825 * (v_[205] + v_[158]);
+ v_[167] = v_[181] * v_[167] + v_[0] * v_[141] - (v_[226] * v_[238] + v_[190] * v_[130]);
+ v_[0] = v_[181] * v_[0] + v_[0] * v_[181];
+ v_[238] = 3.146 * v_[184] + -0.0825825 * v_[217] + 3.146 * v_[167] + 0.0825825 * v_[135] + v_[67] * v_[213] + v_[65] * v_[59] - 0.47422804 * (v_[205] + v_[0]);
+ v_[190] = v_[244] * v_[227] + v_[227] * v_[244];
+ v_[22] = 3.44 * v_[160] + -0.5824264 * v_[138] + 3.44 * v_[194] + -0.5824264 * v_[203] + v_[61] * v_[166] + v_[62] * v_[238] - 0.1466472 * v_[190];
+ v_[5] = v_[57] * v_[28] + v_[58] * v_[19] + v_[183] * x_in[30];
+ v_[178] = 0 - v_[185];
+ v_[193] = v_[178] * x_in[30];
+ v_[159] = v_[244] * v_[252] - v_[247] * v_[183];
+ v_[7] = v_[185] * v_[247];
+ v_[231] = -1 * v_[13];
+ v_[163] = 0 - v_[83];
+ v_[187] = v_[62] * v_[231] + v_[61] * v_[5] + v_[40] * v_[193] + v_[163] * x_in[31];
+ v_[253] = -1 * v_[193] + x_in[49];
+ v_[254] = v_[6] * v_[141];
+ v_[255] = v_[226] * v_[83];
+ v_[256] = v_[6] * v_[181];
+ v_[257] = v_[60] * v_[231] + v_[62] * v_[5] + v_[38] * v_[193] + v_[130] * x_in[31];
+ v_[258] = 0 - v_[110];
+ v_[259] = v_[65] * v_[187] + v_[67] * v_[257] + v_[3] * v_[253] + v_[258] * x_in[32];
+ v_[260] = v_[253] + x_in[50];
+ v_[261] = v_[182] * v_[45];
+ v_[262] = v_[243] * v_[110];
+ v_[263] = v_[182] * v_[219];
+ v_[264] = v_[243] * v_[243];
+ v_[265] = 0.881 * v_[259] + 0.110125 * v_[260] + -0.881 * (v_[261] - v_[262]) + 0.110125 * v_[263] - -0.000881 * (v_[264] + v_[182] * v_[182]);
+ v_[266] = v_[66] * v_[187] + v_[65] * v_[257] + v_[132] * v_[253] + v_[72] * x_in[32];
+ v_[267] = v_[219] * v_[45] - v_[243] * v_[72];
+ v_[264] = 0.881 * v_[266] + 0.000881 * v_[260] + 0.881 * v_[267] + -0.000881 * v_[263] - 0.110125 * (v_[264] + v_[219] * v_[219]);
+ v_[268] = v_[226] * v_[226];
+ v_[269] = v_[6] * v_[6];
+ v_[270] = 3.146 * v_[187] + 0.47422804 * v_[253] + -3.146 * (v_[254] - v_[255]) + 0.47422804 * v_[256] + v_[65] * v_[265] + v_[66] * v_[264] - 0.0825825 * (v_[268] + v_[269]);
+ v_[271] = v_[181] * v_[141] - v_[226] * v_[130];
+ v_[272] = v_[181] * v_[181];
+ v_[273] = 3.146 * v_[257] + -0.0825825 * v_[253] + 3.146 * v_[271] + 0.0825825 * v_[256] + v_[67] * v_[265] + v_[65] * v_[264] - 0.47422804 * (v_[268] + v_[272]);
+ v_[274] = v_[247] * v_[247];
+ v_[275] = v_[244] * v_[244];
+ v_[276] = 3.44 * v_[5] + -0.5824264 * v_[193] + 3.44 * v_[159] + -0.5824264 * v_[7] + v_[61] * v_[270] + v_[62] * v_[273] - 0.1466472 * (v_[274] + v_[275]);
+ jac[220] = v_[50] * v_[162] + v_[246] * v_[173] + v_[58] * v_[22] + v_[242] * v_[276];
+ jac[221] = v_[27] * v_[162] + v_[201] * v_[173] + v_[57] * v_[22] + v_[251] * v_[276];
+ v_[222] = -0.110125 * v_[224] + 0.026409 * v_[55] - 0.110125 * v_[214] - 0.025713 * v_[222];
+ v_[186] = -0.000881 * v_[224] + 0.000468 * v_[234] + -0.000227999999999999 * v_[186] + -0.000881 * v_[214];
+ v_[192] = 2.1e-05 * v_[217] + 0.087136 * v_[196] + -0.007418 * v_[1] + -0.47422804 * v_[153] + -0.007418 * v_[171] + -0.000102 * (v_[205] - v_[158]) + v_[65] * v_[222] + v_[66] * v_[186] + -0.35 * v_[192] - 0.47422804 * v_[210] - 0.084376 * v_[118] - 2.1e-05 * v_[135];
+ v_[186] = -0.000102 * v_[217] + -0.007418 * v_[196] + 0.005495 * v_[1] + 0.0825825 * v_[153] + 0.002735 * v_[171] + 0.0825825 * v_[210] + -0.000102 * v_[135] + v_[76] * v_[222] + v_[65] * v_[186] - -0.007418 * v_[118] - 2.1e-05 * (v_[205] - v_[0]);
+ v_[222] = v_[185] * v_[240] + v_[240] * v_[185];
+ jac[228] = -5.1e-05 * v_[138] + 0.022734 * v_[179] + 0.1466472 * v_[248] + 0.009466 * v_[207] + 0.1466472 * (v_[124] - v_[249]) + -5.1e-05 * v_[203] + v_[62] * v_[192] + v_[60] * v_[186] + -0.08 * v_[195] - 0.022734 * v_[236] - 3.6e-05 * (v_[190] - v_[222]);
+ jac[216] = v_[41] * v_[162] + v_[228] * v_[173] + v_[56] * v_[22] + v_[245] * v_[276] + -1 * jac[228];
+ jac[229] = 0.089871 * v_[217] + 2.1e-05 * v_[196] + -0.000102 * v_[1] + 0.47422804 * v_[212] + -0.0825825 * v_[184] + 0.47422804 * (v_[202] - v_[220]) + 0.081641 * v_[135] + 2.1e-05 * v_[118] + v_[3] * v_[213] + v_[132] * v_[59] + jac[230] - 0.0825825 * v_[167] - -0.000102 * v_[171] - -0.007418 * (v_[0] - v_[158]);
+ v_[154] = v_[185] * v_[154] + v_[240] * v_[183] - (v_[244] * v_[31] + v_[227] * v_[250]);
+ v_[194] = 0.144171 * v_[138] + 3.6e-05 * v_[179] + -0.5824264 * v_[160] + -0.5824264 * v_[194] + 3.6e-05 * v_[236] + 0.022734 * (0 - v_[222]) + v_[40] * v_[166] + v_[38] * v_[238] + -1 * jac[229] - 0.1466472 * v_[154] - -0.123672 * v_[203] - -5.1e-05 * v_[207];
+ v_[271] = -5.1e-05 * x_in[48] + 0.144171 * v_[193] + 3.6e-05 * v_[145] + -0.1466472 * v_[231] + -0.5824264 * v_[5] + -0.5824264 * v_[159] + 3.6e-05 * v_[235] + 0.022734 * (v_[274] - v_[185] * v_[185]) + v_[40] * v_[270] + v_[38] * v_[273] + -1 * (0.089871 * v_[253] + 2.1e-05 * v_[148] + -0.000102 * v_[99] + 0.47422804 * v_[187] + -0.0825825 * v_[257] + 0.47422804 * (v_[255] - v_[254]) + 0.081641 * v_[256] + 2.1e-05 * v_[175] + v_[3] * v_[265] + v_[132] * v_[264] + 0.110125 * v_[259] + 0.000881 * v_[266] + 0.026181 * v_[260] + 0.110125 * (v_[262] - v_[261]) + 0.025941 * v_[263] - -0.000881 * v_[267] - 0.0825825 * v_[271] - -0.000102 * v_[199] - -0.007418 * (v_[272] - v_[269])) - 0.1466472 * (v_[185] * v_[183] - v_[244] * v_[250]) - -0.123672 * v_[7] - -5.1e-05 * v_[232];
+ v_[186] = 3.6e-05 * v_[138] + 0.134705 * v_[179] + 0.5824264 * v_[248] + -0.133138 * v_[236] + -0.5824264 * (v_[249] - v_[124]) + 0.022734 * v_[207] + v_[70] * v_[192] + v_[62] * v_[186] - 3.6e-05 * v_[203] - -5.1e-05 * (0 - v_[190]);
+ v_[172] = -0.110125 * v_[75] + 0.026409 * v_[233] - 0.110125 * v_[12] - 0.025713 * v_[172];
+ v_[229] = -0.000881 * v_[75] + 0.000468 * v_[230] + -0.000227999999999999 * v_[229] + -0.000881 * v_[12];
+ v_[269] = 2.1e-05 * v_[253] + 0.087136 * v_[148] + -0.007418 * v_[99] + -0.47422804 * v_[150] + -0.007418 * v_[199] + -0.000102 * (v_[268] - v_[269]) + v_[65] * v_[172] + v_[66] * v_[229] + -0.35 * v_[137] - 0.47422804 * v_[157] - 0.084376 * v_[175] - 2.1e-05 * v_[256];
+ v_[272] = -0.000102 * v_[253] + -0.007418 * v_[148] + 0.005495 * v_[99] + 0.0825825 * v_[150] + 0.002735 * v_[199] + 0.0825825 * v_[157] + -0.000102 * v_[256] + v_[76] * v_[172] + v_[65] * v_[229] - -0.007418 * v_[175] - 2.1e-05 * (v_[268] - v_[272]);
+ v_[275] = 0.022734 * x_in[48] + 3.6e-05 * v_[193] + 0.134705 * v_[145] + 0.5824264 * v_[11] + -0.133138 * v_[235] + -0.5824264 * (v_[169] - v_[241]) + 0.022734 * v_[232] + v_[70] * v_[269] + v_[62] * v_[272] - 3.6e-05 * v_[7] - -5.1e-05 * (v_[274] - v_[275]);
+ jac[217] = v_[42] * v_[194] + v_[4] * v_[271] + v_[71] * v_[186] + v_[80] * v_[275] + v_[53] * v_[162] + v_[144] * v_[173] + v_[51] * v_[22] + v_[206] * v_[276];
+ v_[154] = -0.1466472 * v_[138] + 3.44 * v_[154] + 0.1466472 * v_[203] + v_[62] * v_[166] + v_[60] * v_[238] - -0.5824264 * (v_[190] + v_[222]);
+ jac[218] = v_[27] * v_[194] + v_[201] * v_[271] + v_[42] * v_[186] + v_[4] * v_[275] + 0.207 * v_[154] + v_[49] * v_[162] + v_[156] * v_[173] + v_[69] * v_[22] + v_[239] * v_[276];
+ jac[219] = -1 * v_[154];
+ v_[154] = -1 * sin(x_in[13]);
+ v_[275] = cos(x_in[13]);
+ v_[186] = - v_[275];
+ v_[271] = v_[154] * v_[185] + v_[275] * v_[247];
+ v_[194] = v_[154] * x_in[48] + v_[186] * v_[145] + (- v_[271]) * x_in[31];
+ v_[276] = v_[186] * v_[185] + v_[154] * v_[247];
+ v_[145] = v_[275] * x_in[48] + v_[154] * v_[145] + v_[276] * x_in[31];
+ v_[22] = v_[271] * v_[226];
+ v_[156] = - v_[275];
+ v_[173] = -0.08 * v_[154];
+ v_[162] = v_[154] * v_[252] + v_[156] * v_[250] + v_[173] * v_[244];
+ v_[239] = -0.08 * v_[275];
+ v_[201] = v_[275] * v_[252] + v_[154] * v_[250] + v_[239] * v_[244];
+ v_[4] = v_[6] * v_[162] + v_[271] * v_[130] - (v_[181] * v_[201] + v_[276] * v_[83]);
+ v_[222] = v_[276] * v_[226];
+ v_[190] = v_[65] * v_[271] + v_[66] * v_[276];
+ v_[238] = v_[65] * v_[194] + v_[76] * v_[145] + (- v_[190]) * x_in[32];
+ v_[166] = v_[76] * v_[271] + v_[65] * v_[276];
+ v_[203] = v_[66] * v_[194] + v_[65] * v_[145] + v_[166] * x_in[32];
+ v_[138] = -0.35 * v_[194];
+ v_[144] = v_[190] * v_[243];
+ v_[80] = v_[65] * v_[162] + v_[67] * v_[201];
+ v_[206] = v_[66] * v_[162] + v_[65] * v_[201];
+ v_[274] = v_[182] * v_[80] + v_[190] * v_[72] - (v_[219] * v_[206] + v_[166] * v_[110]);
+ v_[7] = v_[166] * v_[243];
+ v_[235] = -0.110125 * v_[238] + -0.000881 * v_[203] + 0.881 * v_[138] + 0.110125 * v_[144] + 0.881 * v_[274] + -0.000881 * v_[7];
+ v_[241] = -0.47422804 * v_[194] + 0.0825825 * v_[145] + 0.47422804 * v_[22] + 3.146 * v_[4] + 0.0825825 * v_[222] + v_[235];
+ v_[169] = -1 * v_[241];
+ v_[232] = v_[154] * v_[231] + v_[156] * v_[5] + v_[173] * v_[193] + (- v_[201]) * x_in[31];
+ v_[11] = v_[271] * v_[141];
+ v_[201] = v_[226] * v_[201];
+ v_[268] = v_[6] * v_[276] + v_[271] * v_[181];
+ v_[231] = v_[275] * v_[231] + v_[154] * v_[5] + v_[239] * v_[193] + v_[162] * x_in[31];
+ v_[193] = v_[65] * v_[232] + v_[67] * v_[231] + (- v_[206]) * x_in[32];
+ v_[5] = -0.35 * v_[276];
+ v_[256] = v_[182] * v_[5] + v_[190] * v_[45];
+ v_[206] = v_[243] * v_[206];
+ v_[199] = v_[182] * v_[166] + v_[190] * v_[219];
+ v_[190] = 0.881 * v_[193] + -0.881 * (v_[256] - v_[206]) + 0.110125 * v_[199] - -0.000881 * (v_[182] * v_[190] + v_[190] * v_[182]);
+ v_[157] = v_[66] * v_[232] + v_[65] * v_[231] + v_[80] * x_in[32];
+ v_[5] = v_[219] * v_[5] + v_[166] * v_[45] - v_[243] * v_[80];
+ jac[248] = 0.110125 * v_[193] + 0.000881 * v_[157] + 0.110125 * (v_[206] - v_[256]) + 0.025941 * v_[199] - -0.000881 * v_[5];
+ v_[5] = 0.881 * v_[157] + 0.881 * v_[5] + -0.000881 * v_[199] - 0.110125 * (v_[219] * v_[166] + v_[166] * v_[219]);
+ v_[271] = v_[6] * v_[271] + v_[271] * v_[6];
+ v_[157] = 3.146 * v_[232] + -3.146 * (v_[11] - v_[201]) + 0.47422804 * v_[268] + v_[65] * v_[190] + v_[66] * v_[5] - 0.0825825 * v_[271];
+ v_[162] = v_[276] * v_[141] - v_[226] * v_[162];
+ v_[276] = v_[181] * v_[276] + v_[276] * v_[181];
+ v_[199] = 3.146 * v_[231] + 3.146 * v_[162] + 0.0825825 * v_[268] + v_[67] * v_[190] + v_[65] * v_[5] - 0.47422804 * v_[276];
+ v_[156] = v_[61] * v_[157] + v_[156] * v_[270] + v_[62] * v_[199] + v_[154] * v_[273];
+ jac[238] = v_[50] * v_[169] + v_[58] * v_[156];
+ jac[239] = v_[27] * v_[169] + v_[57] * v_[156];
+ v_[144] = -0.110125 * v_[138] + 0.026409 * v_[238] - 0.110125 * v_[274] - 0.025713 * v_[144];
+ v_[7] = -0.000881 * v_[138] + 0.000468 * v_[203] + -0.000227999999999999 * v_[7] + -0.000881 * v_[274];
+ v_[235] = 0.087136 * v_[194] + -0.007418 * v_[145] + -0.007418 * v_[222] + -0.000102 * (0 - v_[271]) + v_[65] * v_[144] + v_[66] * v_[7] + -0.35 * v_[235] - 0.47422804 * v_[4] - 0.084376 * v_[22] - 2.1e-05 * v_[268];
+ v_[7] = -0.007418 * v_[194] + 0.005495 * v_[145] + 0.002735 * v_[222] + 0.0825825 * v_[4] + -0.000102 * v_[268] + v_[76] * v_[144] + v_[65] * v_[7] - -0.007418 * v_[22] - 2.1e-05 * (0 - v_[276]);
+ jac[246] = v_[62] * v_[235] + v_[154] * v_[269] + v_[60] * v_[7] + v_[275] * v_[272] + -0.08 * v_[241];
+ jac[234] = v_[41] * v_[169] + v_[56] * v_[156] + -1 * jac[246];
+ jac[247] = 2.1e-05 * v_[194] + -0.000102 * v_[145] + 0.47422804 * v_[232] + -0.0825825 * v_[231] + 0.47422804 * (v_[201] - v_[11]) + 0.081641 * v_[268] + 2.1e-05 * v_[22] + v_[3] * v_[190] + v_[132] * v_[5] + jac[248] - 0.0825825 * v_[162] - -0.000102 * v_[222] - -0.007418 * (v_[276] - v_[271]);
+ v_[239] = v_[40] * v_[157] + v_[173] * v_[270] + v_[38] * v_[199] + v_[239] * v_[273] + -1 * jac[247];
+ v_[7] = v_[70] * v_[235] + v_[186] * v_[269] + v_[62] * v_[7] + v_[154] * v_[272];
+ jac[235] = v_[42] * v_[239] + v_[71] * v_[7] + v_[53] * v_[169] + v_[51] * v_[156];
+ v_[199] = v_[62] * v_[157] + v_[154] * v_[270] + v_[60] * v_[199] + v_[275] * v_[273];
+ jac[236] = v_[27] * v_[239] + v_[42] * v_[7] + 0.207 * v_[199] + v_[49] * v_[169] + v_[69] * v_[156];
+ jac[237] = -1 * v_[199];
+ v_[199] = -1 * sin(x_in[14]);
+ v_[7] = cos(x_in[14]);
+ v_[239] = - v_[7];
+ v_[156] = v_[199] * v_[6] + v_[7] * v_[181];
+ v_[169] = v_[199] * v_[148] + v_[239] * v_[99] + (- v_[156]) * x_in[32];
+ v_[157] = v_[239] * v_[6] + v_[199] * v_[181];
+ v_[99] = v_[7] * v_[148] + v_[199] * v_[99] + v_[157] * x_in[32];
+ v_[148] = v_[156] * v_[243];
+ v_[275] = - v_[7];
+ v_[154] = 0.35 * v_[199];
+ v_[273] = v_[199] * v_[130] + v_[275] * v_[83] + v_[154] * v_[226];
+ v_[270] = 0.35 * v_[7];
+ v_[235] = v_[7] * v_[130] + v_[199] * v_[83] + v_[270] * v_[226];
+ v_[186] = v_[182] * v_[273] + v_[156] * v_[72] - (v_[219] * v_[235] + v_[157] * v_[110]);
+ v_[272] = v_[157] * v_[243];
+ v_[269] = -0.110125 * v_[169] + -0.000881 * v_[99] + 0.110125 * v_[148] + 0.881 * v_[186] + -0.000881 * v_[272];
+ v_[173] = -1 * v_[269];
+ v_[276] = v_[199] * v_[187] + v_[275] * v_[257] + v_[154] * v_[253] + (- v_[235]) * x_in[32];
+ v_[162] = v_[156] * v_[45];
+ v_[235] = v_[243] * v_[235];
+ v_[271] = v_[182] * v_[157] + v_[156] * v_[219];
+ v_[156] = 0.881 * v_[276] + -0.881 * (v_[162] - v_[235]) + 0.110125 * v_[271] - -0.000881 * (v_[182] * v_[156] + v_[156] * v_[182]);
+ v_[257] = v_[7] * v_[187] + v_[199] * v_[257] + v_[270] * v_[253] + v_[273] * x_in[32];
+ v_[273] = v_[157] * v_[45] - v_[243] * v_[273];
+ jac[266] = 0.110125 * v_[276] + 0.000881 * v_[257] + 0.110125 * (v_[235] - v_[162]) + 0.025941 * v_[271] - -0.000881 * v_[273];
+ v_[273] = 0.881 * v_[257] + 0.881 * v_[273] + -0.000881 * v_[271] - 0.110125 * (v_[219] * v_[157] + v_[157] * v_[219]);
+ v_[257] = v_[65] * v_[156] + v_[199] * v_[265] + v_[66] * v_[273] + v_[7] * v_[264];
+ v_[275] = v_[67] * v_[156] + v_[275] * v_[265] + v_[65] * v_[273] + v_[199] * v_[264];
+ v_[271] = v_[61] * v_[257] + v_[62] * v_[275];
+ jac[256] = v_[50] * v_[173] + v_[58] * v_[271];
+ jac[257] = v_[27] * v_[173] + v_[57] * v_[271];
+ v_[148] = 0.026409 * v_[169] - 0.110125 * v_[186] - 0.025713 * v_[148];
+ v_[272] = 0.000468 * v_[99] + -0.000227999999999999 * v_[272] + -0.000881 * v_[186];
+ v_[7] = v_[65] * v_[148] + v_[199] * v_[172] + v_[66] * v_[272] + v_[7] * v_[229] + -0.35 * v_[269];
+ v_[272] = v_[76] * v_[148] + v_[239] * v_[172] + v_[65] * v_[272] + v_[199] * v_[229];
+ jac[264] = v_[62] * v_[7] + v_[60] * v_[272] + -0.08 * v_[269];
+ jac[252] = v_[41] * v_[173] + v_[56] * v_[271] + -1 * jac[264];
+ jac[265] = v_[3] * v_[156] + v_[154] * v_[265] + v_[132] * v_[273] + v_[270] * v_[264] + jac[266];
+ v_[273] = v_[40] * v_[257] + v_[38] * v_[275] + -1 * jac[265];
+ v_[272] = v_[70] * v_[7] + v_[62] * v_[272];
+ jac[253] = v_[42] * v_[273] + v_[71] * v_[272] + v_[53] * v_[173] + v_[51] * v_[271];
+ v_[275] = v_[62] * v_[257] + v_[60] * v_[275];
+ jac[254] = v_[27] * v_[273] + v_[42] * v_[272] + 0.207 * v_[275] + v_[49] * v_[173] + v_[69] * v_[271];
+ jac[255] = -1 * v_[275];
+ v_[275] = -1 * sin(x_in[15]);
+ v_[272] = cos(x_in[15]);
+ v_[273] = v_[275] * x_in[19] + v_[272] * x_in[20];
+ v_[271] = v_[273] * x_in[33];
+ v_[173] = -0.3735 * v_[272];
+ v_[257] = -0.3735 * v_[275];
+ v_[7] = 0.207 * v_[275];
+ v_[156] = - v_[275];
+ v_[270] = v_[173] * x_in[20] + v_[257] * x_in[19] + v_[7] * x_in[18] + v_[156] * x_in[23] + v_[272] * x_in[22];
+ v_[154] = v_[272] * v_[28] + v_[275] * v_[19] + (- v_[270]) * x_in[33];
+ v_[264] = v_[16] * x_in[19] + v_[20] * x_in[20];
+ v_[265] = - v_[275];
+ v_[269] = v_[272] * x_in[19] + v_[265] * x_in[20];
+ v_[148] = v_[24] * x_in[19] + v_[16] * x_in[20];
+ v_[239] = v_[264] * v_[273] + v_[269] * v_[148];
+ v_[199] = 0.207 * x_in[20] + x_in[21];
+ v_[229] = v_[269] * v_[199];
+ v_[172] = x_in[18] + x_in[33];
+ v_[186] = v_[172] * v_[270];
+ v_[99] = v_[273] * v_[172];
+ v_[169] = v_[34] * v_[269];
+ v_[157] = v_[47] * v_[271] + (- v_[169]) * x_in[34];
+ v_[235] = v_[47] * v_[269];
+ v_[162] = v_[34] * v_[271] + v_[235] * x_in[34];
+ v_[276] = v_[34] * v_[264] + v_[47] * v_[172];
+ v_[253] = v_[148] + x_in[34];
+ v_[187] = v_[276] * v_[273] + v_[169] * v_[253];
+ v_[5] = v_[33] * v_[270] + v_[109] * v_[273];
+ v_[190] = v_[123] * x_in[20] + v_[25] * x_in[19] + v_[29] * x_in[18] + v_[30] * x_in[23] + v_[16] * x_in[22];
+ v_[231] = v_[35] * v_[199] + v_[33] * v_[190] + v_[109] * v_[148];
+ v_[268] = v_[47] * v_[264] + v_[46] * v_[172];
+ v_[201] = v_[34] * v_[270] + v_[32] * v_[273];
+ v_[11] = v_[37] * v_[199] + v_[34] * v_[190] + v_[32] * v_[148];
+ v_[232] = v_[276] * v_[5] + v_[169] * v_[231] - (v_[268] * v_[201] + v_[235] * v_[11]);
+ v_[222] = v_[268] * v_[273] + v_[235] * v_[253];
+ v_[22] = v_[15] * v_[169] + v_[17] * v_[235];
+ v_[145] = v_[15] * v_[157] + v_[48] * v_[162] + (- v_[22]) * x_in[35];
+ v_[194] = v_[48] * v_[169] + v_[15] * v_[235];
+ v_[241] = v_[17] * v_[157] + v_[15] * v_[162] + v_[194] * x_in[35];
+ v_[144] = -0.35 * v_[157] + v_[154];
+ v_[4] = v_[15] * v_[276] + v_[17] * v_[268];
+ v_[274] = v_[15] * v_[5] + v_[36] * v_[201] + v_[126] * v_[273];
+ v_[138] = v_[15] * v_[231] + v_[36] * v_[11] + v_[126] * v_[253];
+ v_[203] = v_[48] * v_[276] + v_[15] * v_[268];
+ v_[238] = v_[17] * v_[5] + v_[15] * v_[201] + v_[107] * v_[273];
+ v_[166] = v_[17] * v_[231] + v_[15] * v_[11] + v_[107] * v_[253];
+ v_[206] = v_[4] * v_[274] + v_[22] * v_[138] - (v_[203] * v_[238] + v_[194] * v_[166]);
+ v_[256] = v_[253] + x_in[35];
+ v_[193] = v_[4] * v_[273] + v_[22] * v_[256];
+ v_[80] = v_[203] * v_[273] + v_[194] * v_[256];
+ v_[175] = v_[203] * v_[194] + v_[194] * v_[203];
+ v_[150] = v_[4] * v_[22] + v_[22] * v_[4];
+ v_[137] = -0.1104774 * v_[145] + -0.0004405 * v_[241] + 0.881 * v_[144] + 0.881 * v_[206] + 0.1104774 * v_[193] + -0.0004405 * v_[80] - 8.81e-05 * (v_[175] + v_[150]);
+ v_[12] = -0.47422804 * v_[157] + 0.0825825 * v_[162] + 3.146 * v_[154] + 0.47422804 * v_[187] + 3.146 * v_[232] + 0.0825825 * v_[222] + v_[137];
+ v_[75] = -0.5824264 * v_[271] + 3.44 * v_[154] + 0.1466472 * v_[239] + -3.44 * (v_[229] - v_[186]) + 0.5824264 * v_[99] + v_[12];
+ v_[230] = -0.207 * v_[272];
+ v_[233] = v_[148] * x_in[33];
+ v_[192] = 0 - v_[190];
+ v_[236] = v_[16] * v_[28] + v_[24] * v_[19] + v_[192] * x_in[33];
+ v_[124] = v_[264] * v_[148];
+ v_[249] = v_[264] * v_[199];
+ v_[207] = v_[172] * v_[190];
+ v_[248] = v_[148] * v_[172];
+ v_[179] = 0 - v_[276];
+ v_[267] = v_[46] * x_in[51] + v_[47] * v_[233] + v_[179] * x_in[34];
+ v_[266] = v_[47] * x_in[51] + v_[34] * v_[233] + v_[268] * x_in[34];
+ v_[263] = 0.08 * x_in[51] + v_[236];
+ v_[262] = v_[276] * v_[253];
+ v_[261] = v_[276] * v_[231] - v_[268] * v_[11];
+ v_[260] = v_[268] * v_[253];
+ v_[259] = 0 - v_[4];
+ v_[255] = v_[15] * v_[267] + v_[48] * v_[266] + v_[259] * x_in[35];
+ v_[254] = v_[17] * v_[267] + v_[15] * v_[266] + v_[203] * x_in[35];
+ v_[159] = -0.35 * v_[267] + v_[263];
+ v_[160] = v_[4] * v_[138] - v_[203] * v_[166];
+ v_[240] = v_[4] * v_[256];
+ v_[31] = v_[203] * v_[256];
+ v_[227] = v_[203] * v_[203];
+ v_[0] = v_[4] * v_[4];
+ v_[167] = -0.1104774 * v_[255] + -0.0004405 * v_[254] + 0.881 * v_[159] + 0.881 * v_[160] + 0.1104774 * v_[240] + -0.0004405 * v_[31] - 8.81e-05 * (v_[227] + v_[0]);
+ v_[158] = 0.1466472 * x_in[51] + -0.5824264 * v_[233] + 3.44 * v_[236] + 0.1466472 * v_[124] + -3.44 * (v_[249] - v_[207]) + 0.5824264 * v_[248] + -0.47422804 * v_[267] + 0.0825825 * v_[266] + 3.146 * v_[263] + 0.47422804 * v_[262] + 3.146 * v_[261] + 0.0825825 * v_[260] + v_[167];
+ v_[59] = -0.3735 * v_[275];
+ v_[213] = 0.3735 * v_[272];
+ v_[184] = v_[59] * x_in[20] + v_[213] * x_in[19] + v_[230] * x_in[18] + v_[272] * x_in[23] + v_[275] * x_in[22];
+ v_[135] = v_[156] * v_[28] + v_[272] * v_[19] + v_[184] * x_in[33];
+ v_[202] = (- v_[269]) * x_in[33];
+ v_[220] = v_[273] * v_[199] - v_[172] * v_[184];
+ v_[217] = v_[269] * v_[172];
+ v_[212] = v_[33] * v_[135] + v_[109] * v_[202] + (- v_[201]) * x_in[34];
+ v_[171] = v_[43] * x_in[20] + v_[26] * x_in[19] + v_[8] * x_in[18] + v_[16] * x_in[23] + v_[24] * x_in[22];
+ v_[118] = 0.08 * v_[172] + v_[171];
+ v_[1] = v_[276] * v_[184] + v_[169] * v_[118];
+ v_[201] = v_[253] * v_[201] + v_[273] * v_[11];
+ v_[196] = v_[276] * v_[235] + v_[169] * v_[268];
+ v_[228] = v_[34] * v_[135] + v_[32] * v_[202] + v_[5] * x_in[34];
+ v_[245] = v_[15] * v_[212] + v_[36] * v_[228] + v_[126] * v_[202] + (- v_[238]) * x_in[35];
+ v_[195] = -0.35 * v_[235] + v_[184];
+ v_[205] = -0.35 * v_[268] + v_[118];
+ v_[210] = v_[4] * v_[195] + v_[22] * v_[205];
+ v_[238] = v_[256] * v_[238] + v_[273] * v_[166];
+ v_[22] = v_[4] * v_[194] + v_[22] * v_[203];
+ v_[153] = v_[256] * v_[273] + v_[273] * v_[256];
+ v_[150] = 0.1104774 * v_[202] + -8.81e-05 * v_[241] + 0.881 * v_[245] + -0.881 * (v_[210] - v_[238]) + 0.1104774 * v_[22] + 8.81e-05 * v_[80] - -0.0004405 * (v_[153] + v_[150]);
+ v_[214] = v_[17] * v_[212] + v_[15] * v_[228] + v_[107] * v_[202] + v_[274] * x_in[35];
+ v_[195] = v_[203] * v_[195] + v_[194] * v_[205] - (v_[256] * v_[274] + v_[273] * v_[138]);
+ jac[287] = 0.1104774 * v_[245] + 0.0004405 * v_[214] + 0.026181 * v_[202] + 0.1104774 * (v_[238] - v_[210]) + 0.025941 * v_[22] - -0.0004405 * v_[195];
+ v_[153] = 0.0004405 * v_[202] + 8.81e-05 * v_[145] + 0.881 * v_[214] + 0.881 * v_[195] + 8.81e-05 * v_[193] + -0.0004405 * v_[22] - 0.1104774 * (v_[153] + v_[175]);
+ v_[22] = v_[253] * v_[273] + v_[273] * v_[253];
+ v_[169] = v_[276] * v_[169] + v_[169] * v_[276];
+ v_[175] = 3.146 * v_[212] + 0.47422804 * v_[202] + -3.146 * (v_[1] - v_[201]) + 0.47422804 * v_[196] + v_[15] * v_[150] + v_[17] * v_[153] - 0.0825825 * (v_[22] + v_[169]);
+ v_[5] = v_[268] * v_[184] + v_[235] * v_[118] - (v_[253] * v_[5] + v_[273] * v_[231]);
+ v_[235] = v_[268] * v_[235] + v_[235] * v_[268];
+ v_[274] = 3.146 * v_[228] + -0.0825825 * v_[202] + 3.146 * v_[5] + 0.0825825 * v_[196] + v_[36] * v_[150] + v_[15] * v_[153] - 0.47422804 * (v_[22] + v_[235]);
+ v_[194] = v_[148] * v_[273] + v_[273] * v_[148];
+ v_[224] = 3.44 * v_[135] + 0.5824264 * v_[202] + 3.44 * v_[220] + 0.5824264 * v_[217] + v_[33] * v_[175] + v_[34] * v_[274] - 0.1466472 * v_[194];
+ v_[19] = v_[30] * v_[28] + v_[16] * v_[19] + v_[171] * x_in[33];
+ v_[28] = 0 - v_[264];
+ v_[234] = v_[28] * x_in[33];
+ v_[55] = v_[148] * v_[199] - v_[172] * v_[171];
+ v_[251] = v_[264] * v_[172];
+ v_[242] = 0 - v_[11];
+ v_[246] = v_[35] * v_[13] + v_[33] * v_[19] + v_[109] * v_[234] + v_[242] * x_in[34];
+ v_[277] = v_[234] + x_in[52];
+ v_[278] = v_[276] * v_[118];
+ v_[279] = v_[253] * v_[11];
+ v_[280] = v_[276] * v_[268];
+ v_[281] = v_[277] + x_in[53];
+ v_[282] = v_[37] * v_[13] + v_[34] * v_[19] + v_[32] * v_[234] + v_[231] * x_in[34];
+ v_[283] = 0 - v_[166];
+ v_[284] = v_[15] * v_[246] + v_[36] * v_[282] + v_[126] * v_[277] + v_[283] * x_in[35];
+ v_[285] = v_[4] * v_[205];
+ v_[286] = v_[256] * v_[166];
+ v_[287] = v_[4] * v_[203];
+ v_[288] = v_[256] * v_[256];
+ v_[0] = 0.1104774 * v_[281] + -8.81e-05 * v_[254] + 0.881 * v_[284] + -0.881 * (v_[285] - v_[286]) + 0.1104774 * v_[287] + 8.81e-05 * v_[31] - -0.0004405 * (v_[288] + v_[0]);
+ v_[289] = v_[17] * v_[246] + v_[15] * v_[282] + v_[107] * v_[277] + v_[138] * x_in[35];
+ v_[290] = v_[203] * v_[205] - v_[256] * v_[138];
+ v_[288] = 0.0004405 * v_[281] + 8.81e-05 * v_[255] + 0.881 * v_[289] + 0.881 * v_[290] + 8.81e-05 * v_[240] + -0.0004405 * v_[287] - 0.1104774 * (v_[288] + v_[227]);
+ v_[227] = v_[253] * v_[253];
+ v_[291] = v_[276] * v_[276];
+ v_[292] = 3.146 * v_[246] + 0.47422804 * v_[277] + -3.146 * (v_[278] - v_[279]) + 0.47422804 * v_[280] + v_[15] * v_[0] + v_[17] * v_[288] - 0.0825825 * (v_[227] + v_[291]);
+ v_[293] = v_[268] * v_[118] - v_[253] * v_[231];
+ v_[294] = v_[268] * v_[268];
+ v_[295] = 3.146 * v_[282] + -0.0825825 * v_[277] + 3.146 * v_[293] + 0.0825825 * v_[280] + v_[36] * v_[0] + v_[15] * v_[288] - 0.47422804 * (v_[227] + v_[294]);
+ v_[296] = v_[172] * v_[172];
+ v_[297] = v_[148] * v_[148];
+ v_[298] = 3.44 * v_[19] + 0.5824264 * v_[234] + 3.44 * v_[55] + 0.5824264 * v_[251] + v_[33] * v_[292] + v_[34] * v_[295] - 0.1466472 * (v_[296] + v_[297]);
+ jac[274] = v_[24] * v_[75] + v_[275] * v_[158] + v_[16] * v_[224] + v_[272] * v_[298];
+ jac[275] = v_[16] * v_[75] + v_[272] * v_[158] + v_[30] * v_[224] + v_[156] * v_[298];
+ v_[195] = -0.1104774 * v_[144] + 8.81e-05 * v_[214] + 0.026409 * v_[145] + 8.81e-05 * v_[195] - 0.1104774 * v_[206] - 0.025713 * v_[193];
+ v_[238] = -0.0004405 * v_[144] + -8.81e-05 * v_[245] + 0.000468 * v_[241] + -0.0004405 * v_[206] + 8.81e-05 * (v_[210] - v_[238]) + -0.000227999999999999 * v_[80];
+ v_[137] = 2.1e-05 * v_[202] + 0.087136 * v_[157] + -0.007418 * v_[162] + -0.47422804 * v_[154] + -0.007418 * v_[222] + -0.000102 * (v_[22] - v_[169]) + v_[15] * v_[195] + v_[17] * v_[238] + -0.35 * v_[137] - 0.47422804 * v_[232] - 0.084376 * v_[187] - 2.1e-05 * v_[196];
+ v_[238] = -0.000102 * v_[202] + -0.007418 * v_[157] + 0.005495 * v_[162] + 0.0825825 * v_[154] + 0.002735 * v_[222] + 0.0825825 * v_[232] + -0.000102 * v_[196] + v_[48] * v_[195] + v_[15] * v_[238] - -0.007418 * v_[187] - 2.1e-05 * (v_[22] - v_[235]);
+ v_[195] = v_[264] * v_[269] + v_[269] * v_[264];
+ jac[285] = -5.1e-05 * v_[202] + -0.022734 * v_[271] + 0.1466472 * v_[154] + 0.009466 * v_[239] + 0.1466472 * (v_[186] - v_[229]) + -5.1e-05 * v_[217] + v_[46] * v_[137] + v_[47] * v_[238] + 0.08 * v_[12] - -0.022734 * v_[99] - -3.6e-05 * (v_[194] - v_[195]);
+ jac[270] = v_[8] * v_[75] + v_[230] * v_[158] + v_[29] * v_[224] + v_[7] * v_[298] + jac[285];
+ jac[286] = 0.089871 * v_[202] + 2.1e-05 * v_[157] + -0.000102 * v_[162] + 0.47422804 * v_[212] + -0.0825825 * v_[228] + 0.47422804 * (v_[201] - v_[1]) + 0.081641 * v_[196] + 2.1e-05 * v_[187] + v_[126] * v_[150] + v_[107] * v_[153] + jac[287] - 0.0825825 * v_[5] - -0.000102 * v_[222] - -0.007418 * (v_[235] - v_[169]);
+ v_[184] = v_[264] * v_[184] + v_[269] * v_[171] - (v_[148] * v_[270] + v_[273] * v_[190]);
+ jac[273] = -0.1466472 * v_[202] + 3.44 * v_[184] + 0.1466472 * v_[217] + v_[35] * v_[175] + v_[37] * v_[274] - 0.5824264 * (v_[194] + v_[195]);
+ v_[184] = 0.144171 * v_[202] + -3.6e-05 * v_[271] + 0.5824264 * v_[135] + 0.5824264 * v_[220] + -3.6e-05 * v_[99] + -0.022734 * (0 - v_[195]) + v_[109] * v_[175] + v_[32] * v_[274] + jac[286] - 0.1466472 * v_[184] - -0.123672 * v_[217] - -5.1e-05 * v_[239];
+ v_[293] = -5.1e-05 * x_in[51] + 0.144171 * v_[234] + -3.6e-05 * v_[233] + -0.1466472 * v_[13] + 0.5824264 * v_[19] + 0.5824264 * v_[55] + -3.6e-05 * v_[248] + -0.022734 * (v_[296] - v_[264] * v_[264]) + v_[109] * v_[292] + v_[32] * v_[295] + 0.089871 * v_[277] + 2.1e-05 * v_[267] + -0.000102 * v_[266] + 0.47422804 * v_[246] + -0.0825825 * v_[282] + 0.47422804 * (v_[279] - v_[278]) + 0.081641 * v_[280] + 2.1e-05 * v_[262] + v_[126] * v_[0] + v_[107] * v_[288] + 0.1104774 * v_[284] + 0.0004405 * v_[289] + 0.026181 * v_[281] + 0.1104774 * (v_[286] - v_[285]) + 0.025941 * v_[287] - -0.0004405 * v_[290] - 0.0825825 * v_[293] - -0.000102 * v_[260] - -0.007418 * (v_[294] - v_[291]) - 0.1466472 * (v_[264] * v_[171] - v_[148] * v_[190]) - -0.123672 * v_[251] - -5.1e-05 * v_[124];
+ v_[238] = -3.6e-05 * v_[202] + 0.134705 * v_[271] + -0.5824264 * v_[154] + -0.133138 * v_[99] + 0.5824264 * (v_[229] - v_[186]) + -0.022734 * v_[239] + v_[47] * v_[137] + v_[34] * v_[238] - -3.6e-05 * v_[217] - -5.1e-05 * (0 - v_[194]);
+ v_[290] = -0.1104774 * v_[159] + 8.81e-05 * v_[289] + 0.026409 * v_[255] + 8.81e-05 * v_[290] - 0.1104774 * v_[160] - 0.025713 * v_[240];
+ v_[286] = -0.0004405 * v_[159] + -8.81e-05 * v_[284] + 0.000468 * v_[254] + -0.0004405 * v_[160] + 8.81e-05 * (v_[285] - v_[286]) + -0.000227999999999999 * v_[31];
+ v_[291] = 2.1e-05 * v_[277] + 0.087136 * v_[267] + -0.007418 * v_[266] + -0.47422804 * v_[263] + -0.007418 * v_[260] + -0.000102 * (v_[227] - v_[291]) + v_[15] * v_[290] + v_[17] * v_[286] + -0.35 * v_[167] - 0.47422804 * v_[261] - 0.084376 * v_[262] - 2.1e-05 * v_[280];
+ v_[294] = -0.000102 * v_[277] + -0.007418 * v_[267] + 0.005495 * v_[266] + 0.0825825 * v_[263] + 0.002735 * v_[260] + 0.0825825 * v_[261] + -0.000102 * v_[280] + v_[48] * v_[290] + v_[15] * v_[286] - -0.007418 * v_[262] - 2.1e-05 * (v_[227] - v_[294]);
+ v_[297] = -0.022734 * x_in[51] + -3.6e-05 * v_[234] + 0.134705 * v_[233] + -0.5824264 * v_[236] + -0.133138 * v_[248] + 0.5824264 * (v_[249] - v_[207]) + -0.022734 * v_[124] + v_[47] * v_[291] + v_[34] * v_[294] - -3.6e-05 * v_[251] - -5.1e-05 * (v_[296] - v_[297]);
+ jac[271] = v_[24] * v_[184] + v_[275] * v_[293] + v_[16] * v_[238] + v_[272] * v_[297] + v_[26] * v_[75] + v_[213] * v_[158] + v_[25] * v_[224] + v_[257] * v_[298];
+ jac[272] = v_[16] * v_[184] + v_[272] * v_[293] + v_[20] * v_[238] + v_[265] * v_[297] + 0.207 * jac[273] + v_[43] * v_[75] + v_[59] * v_[158] + v_[123] * v_[224] + v_[173] * v_[298];
+ v_[297] = -1 * sin(x_in[16]);
+ v_[238] = - v_[297];
+ v_[293] = cos(x_in[16]);
+ v_[184] = - v_[293];
+ v_[298] = v_[297] * v_[264] + v_[184] * v_[172];
+ v_[224] = v_[238] * x_in[51] + v_[184] * v_[233] + (- v_[298]) * x_in[34];
+ v_[59] = v_[184] * v_[264] + v_[238] * v_[172];
+ v_[233] = v_[184] * x_in[51] + v_[297] * v_[233] + v_[59] * x_in[34];
+ v_[158] = v_[298] * v_[253];
+ v_[75] = - v_[297];
+ v_[265] = - v_[293];
+ v_[173] = 0.08 * v_[297];
+ v_[272] = v_[75] * v_[199] + v_[265] * v_[190] + v_[173] * v_[148];
+ v_[213] = - v_[293];
+ v_[293] = 0.08 * v_[293];
+ v_[257] = v_[213] * v_[199] + v_[297] * v_[190] + v_[293] * v_[148];
+ v_[275] = v_[276] * v_[272] + v_[298] * v_[231] - (v_[268] * v_[257] + v_[59] * v_[11]);
+ v_[296] = v_[59] * v_[253];
+ v_[251] = v_[15] * v_[298] + v_[17] * v_[59];
+ v_[248] = v_[15] * v_[224] + v_[48] * v_[233] + (- v_[251]) * x_in[35];
+ v_[207] = v_[48] * v_[298] + v_[15] * v_[59];
+ v_[249] = v_[17] * v_[224] + v_[15] * v_[233] + v_[207] * x_in[35];
+ v_[124] = -0.35 * v_[224];
+ v_[236] = v_[15] * v_[272] + v_[36] * v_[257];
+ v_[227] = v_[17] * v_[272] + v_[15] * v_[257];
+ v_[280] = v_[4] * v_[236] + v_[251] * v_[138] - (v_[203] * v_[227] + v_[207] * v_[166]);
+ v_[260] = v_[251] * v_[256];
+ v_[261] = v_[207] * v_[256];
+ v_[262] = v_[203] * v_[207] + v_[207] * v_[203];
+ v_[263] = v_[4] * v_[251] + v_[251] * v_[4];
+ v_[167] = -0.1104774 * v_[248] + -0.0004405 * v_[249] + 0.881 * v_[124] + 0.881 * v_[280] + 0.1104774 * v_[260] + -0.0004405 * v_[261] - 8.81e-05 * (v_[262] + v_[263]);
+ v_[285] = -0.47422804 * v_[224] + 0.0825825 * v_[233] + 0.47422804 * v_[158] + 3.146 * v_[275] + 0.0825825 * v_[296] + v_[167];
+ v_[284] = v_[75] * v_[13] + v_[265] * v_[19] + v_[173] * v_[234] + (- v_[257]) * x_in[34];
+ v_[31] = v_[298] * v_[118];
+ v_[257] = v_[253] * v_[257];
+ v_[160] = v_[276] * v_[59] + v_[298] * v_[268];
+ v_[234] = v_[213] * v_[13] + v_[297] * v_[19] + v_[293] * v_[234] + v_[272] * x_in[34];
+ v_[19] = v_[15] * v_[284] + v_[36] * v_[234] + (- v_[227]) * x_in[35];
+ v_[13] = -0.35 * v_[59];
+ v_[159] = v_[4] * v_[13] + v_[251] * v_[205];
+ v_[227] = v_[256] * v_[227];
+ v_[251] = v_[4] * v_[207] + v_[251] * v_[203];
+ v_[263] = -8.81e-05 * v_[249] + 0.881 * v_[19] + -0.881 * (v_[159] - v_[227]) + 0.1104774 * v_[251] + 8.81e-05 * v_[261] - -0.0004405 * v_[263];
+ v_[254] = v_[17] * v_[284] + v_[15] * v_[234] + v_[236] * x_in[35];
+ v_[13] = v_[203] * v_[13] + v_[207] * v_[205] - v_[256] * v_[236];
+ jac[305] = 0.1104774 * v_[19] + 0.0004405 * v_[254] + 0.1104774 * (v_[227] - v_[159]) + 0.025941 * v_[251] - -0.0004405 * v_[13];
+ v_[251] = 8.81e-05 * v_[248] + 0.881 * v_[254] + 0.881 * v_[13] + 8.81e-05 * v_[260] + -0.0004405 * v_[251] - 0.1104774 * v_[262];
+ v_[298] = v_[276] * v_[298] + v_[298] * v_[276];
+ v_[262] = 3.146 * v_[284] + -3.146 * (v_[31] - v_[257]) + 0.47422804 * v_[160] + v_[15] * v_[263] + v_[17] * v_[251] - 0.0825825 * v_[298];
+ v_[272] = v_[59] * v_[118] - v_[253] * v_[272];
+ v_[59] = v_[268] * v_[59] + v_[59] * v_[268];
+ v_[236] = 3.146 * v_[234] + 3.146 * v_[272] + 0.0825825 * v_[160] + v_[36] * v_[263] + v_[15] * v_[251] - 0.47422804 * v_[59];
+ jac[291] = v_[35] * v_[262] + v_[75] * v_[292] + v_[37] * v_[236] + v_[213] * v_[295];
+ v_[265] = v_[33] * v_[262] + v_[265] * v_[292] + v_[34] * v_[236] + v_[297] * v_[295];
+ jac[292] = v_[24] * v_[285] + v_[16] * v_[265];
+ jac[293] = v_[16] * v_[285] + v_[30] * v_[265];
+ v_[13] = -0.1104774 * v_[124] + 8.81e-05 * v_[254] + 0.026409 * v_[248] + 8.81e-05 * v_[13] - 0.1104774 * v_[280] - 0.025713 * v_[260];
+ v_[227] = -0.0004405 * v_[124] + -8.81e-05 * v_[19] + 0.000468 * v_[249] + -0.0004405 * v_[280] + 8.81e-05 * (v_[159] - v_[227]) + -0.000227999999999999 * v_[261];
+ v_[167] = 0.087136 * v_[224] + -0.007418 * v_[233] + -0.007418 * v_[296] + -0.000102 * (0 - v_[298]) + v_[15] * v_[13] + v_[17] * v_[227] + -0.35 * v_[167] - 0.47422804 * v_[275] - 0.084376 * v_[158] - 2.1e-05 * v_[160];
+ v_[227] = -0.007418 * v_[224] + 0.005495 * v_[233] + 0.002735 * v_[296] + 0.0825825 * v_[275] + -0.000102 * v_[160] + v_[48] * v_[13] + v_[15] * v_[227] - -0.007418 * v_[158] - 2.1e-05 * (0 - v_[59]);
+ jac[303] = v_[46] * v_[167] + v_[238] * v_[291] + v_[47] * v_[227] + v_[184] * v_[294] + 0.08 * v_[285];
+ jac[288] = v_[8] * v_[285] + v_[29] * v_[265] + jac[303];
+ jac[304] = 2.1e-05 * v_[224] + -0.000102 * v_[233] + 0.47422804 * v_[284] + -0.0825825 * v_[234] + 0.47422804 * (v_[257] - v_[31]) + 0.081641 * v_[160] + 2.1e-05 * v_[158] + v_[126] * v_[263] + v_[107] * v_[251] + jac[305] - 0.0825825 * v_[272] - -0.000102 * v_[296] - -0.007418 * (v_[59] - v_[298]);
+ v_[236] = v_[109] * v_[262] + v_[173] * v_[292] + v_[32] * v_[236] + v_[293] * v_[295] + jac[304];
+ v_[227] = v_[47] * v_[167] + v_[184] * v_[291] + v_[34] * v_[227] + v_[297] * v_[294];
+ jac[289] = v_[24] * v_[236] + v_[16] * v_[227] + v_[26] * v_[285] + v_[25] * v_[265];
+ jac[290] = v_[16] * v_[236] + v_[20] * v_[227] + 0.207 * jac[291] + v_[43] * v_[285] + v_[123] * v_[265];
+ v_[227] = -1 * sin(x_in[17]);
+ v_[236] = cos(x_in[17]);
+ v_[265] = - v_[236];
+ v_[285] = v_[227] * v_[276] + v_[236] * v_[268];
+ v_[167] = v_[227] * v_[267] + v_[265] * v_[266] + (- v_[285]) * x_in[35];
+ v_[184] = v_[265] * v_[276] + v_[227] * v_[268];
+ v_[266] = v_[236] * v_[267] + v_[227] * v_[266] + v_[184] * x_in[35];
+ v_[267] = - v_[236];
+ v_[297] = 0.35 * v_[227];
+ v_[294] = v_[227] * v_[231] + v_[267] * v_[11] + v_[297] * v_[253];
+ v_[291] = 0.35 * v_[236];
+ v_[262] = v_[236] * v_[231] + v_[227] * v_[11] + v_[291] * v_[253];
+ v_[293] = v_[4] * v_[294] + v_[285] * v_[138] - (v_[203] * v_[262] + v_[184] * v_[166]);
+ v_[173] = v_[285] * v_[256];
+ v_[295] = v_[184] * v_[256];
+ v_[292] = v_[203] * v_[184] + v_[184] * v_[203];
+ v_[59] = v_[4] * v_[285] + v_[285] * v_[4];
+ v_[272] = -0.1104774 * v_[167] + -0.0004405 * v_[266] + 0.881 * v_[293] + 0.1104774 * v_[173] + -0.0004405 * v_[295] - 8.81e-05 * (v_[292] + v_[59]);
+ v_[298] = v_[227] * v_[246] + v_[267] * v_[282] + v_[297] * v_[277] + (- v_[262]) * x_in[35];
+ v_[251] = v_[285] * v_[205];
+ v_[262] = v_[256] * v_[262];
+ v_[285] = v_[4] * v_[184] + v_[285] * v_[203];
+ v_[59] = -8.81e-05 * v_[266] + 0.881 * v_[298] + -0.881 * (v_[251] - v_[262]) + 0.1104774 * v_[285] + 8.81e-05 * v_[295] - -0.0004405 * v_[59];
+ v_[282] = v_[236] * v_[246] + v_[227] * v_[282] + v_[291] * v_[277] + v_[294] * x_in[35];
+ v_[294] = v_[184] * v_[205] - v_[256] * v_[294];
+ jac[323] = 0.1104774 * v_[298] + 0.0004405 * v_[282] + 0.1104774 * (v_[262] - v_[251]) + 0.025941 * v_[285] - -0.0004405 * v_[294];
+ v_[285] = 8.81e-05 * v_[167] + 0.881 * v_[282] + 0.881 * v_[294] + 8.81e-05 * v_[173] + -0.0004405 * v_[285] - 0.1104774 * v_[292];
+ v_[292] = v_[15] * v_[59] + v_[227] * v_[0] + v_[17] * v_[285] + v_[236] * v_[288];
+ v_[267] = v_[36] * v_[59] + v_[267] * v_[0] + v_[15] * v_[285] + v_[227] * v_[288];
+ jac[309] = v_[35] * v_[292] + v_[37] * v_[267];
+ v_[184] = v_[33] * v_[292] + v_[34] * v_[267];
+ jac[310] = v_[24] * v_[272] + v_[16] * v_[184];
+ jac[311] = v_[16] * v_[272] + v_[30] * v_[184];
+ v_[294] = 8.81e-05 * v_[282] + 0.026409 * v_[167] + 8.81e-05 * v_[294] - 0.1104774 * v_[293] - 0.025713 * v_[173];
+ v_[262] = -8.81e-05 * v_[298] + 0.000468 * v_[266] + -0.0004405 * v_[293] + 8.81e-05 * (v_[251] - v_[262]) + -0.000227999999999999 * v_[295];
+ v_[236] = v_[15] * v_[294] + v_[227] * v_[290] + v_[17] * v_[262] + v_[236] * v_[286] + -0.35 * v_[272];
+ v_[262] = v_[48] * v_[294] + v_[265] * v_[290] + v_[15] * v_[262] + v_[227] * v_[286];
+ jac[321] = v_[46] * v_[236] + v_[47] * v_[262] + 0.08 * v_[272];
+ jac[306] = v_[8] * v_[272] + v_[29] * v_[184] + jac[321];
+ jac[322] = v_[126] * v_[59] + v_[297] * v_[0] + v_[107] * v_[285] + v_[291] * v_[288] + jac[323];
+ v_[267] = v_[109] * v_[292] + v_[32] * v_[267] + jac[322];
+ v_[262] = v_[47] * v_[236] + v_[34] * v_[262];
+ jac[307] = v_[24] * v_[267] + v_[16] * v_[262] + v_[26] * v_[272] + v_[25] * v_[184];
+ jac[308] = v_[16] * v_[267] + v_[20] * v_[262] + 0.207 * jac[309] + v_[43] * v_[272] + v_[123] * v_[184];
+ v_[262] = (- v_[29]) * x_in[33];
+ v_[267] = v_[172] * v_[29] + v_[190];
+ v_[184] = (- v_[47]) * x_in[34];
+ v_[272] = v_[46] * x_in[34];
+ v_[236] = v_[47] * v_[253];
+ v_[292] = v_[33] * v_[29];
+ v_[285] = v_[34] * v_[29];
+ v_[59] = v_[276] * v_[292] + v_[47] * v_[231] - (v_[268] * v_[285] + v_[46] * v_[11]);
+ v_[291] = v_[46] * v_[253];
+ v_[297] = v_[15] * v_[47] + v_[17] * v_[46];
+ v_[288] = v_[15] * v_[184] + v_[48] * v_[272] + (- v_[297]) * x_in[35];
+ v_[0] = v_[48] * v_[47] + v_[15] * v_[46];
+ v_[294] = v_[17] * v_[184] + v_[15] * v_[272] + v_[0] * x_in[35];
+ v_[265] = -0.35 * v_[184] + v_[262];
+ v_[227] = v_[15] * v_[292] + v_[36] * v_[285];
+ v_[286] = v_[17] * v_[292] + v_[15] * v_[285];
+ v_[290] = v_[4] * v_[227] + v_[297] * v_[138] - (v_[203] * v_[286] + v_[0] * v_[166]);
+ v_[251] = v_[297] * v_[256];
+ v_[298] = v_[0] * v_[256];
+ v_[295] = v_[203] * v_[0] + v_[0] * v_[203];
+ v_[293] = v_[4] * v_[297] + v_[297] * v_[4];
+ v_[266] = -0.1104774 * v_[288] + -0.0004405 * v_[294] + 0.881 * v_[265] + 0.881 * v_[290] + 0.1104774 * v_[251] + -0.0004405 * v_[298] - 8.81e-05 * (v_[295] + v_[293]);
+ v_[282] = -0.47422804 * v_[184] + 0.0825825 * v_[272] + 3.146 * v_[262] + 0.47422804 * v_[236] + 3.146 * v_[59] + 0.0825825 * v_[291] + v_[266];
+ v_[173] = 3.44 * v_[262] + -3.44 * (0 - v_[267]) + 0.5824264 * v_[148] + v_[282];
+ v_[167] = v_[8] * x_in[33];
+ v_[277] = 0 - (v_[172] * v_[8] + v_[171]);
+ v_[246] = v_[33] * v_[167] + (- v_[285]) * x_in[34];
+ v_[263] = 0.08 + v_[8];
+ v_[234] = v_[276] * v_[263] + v_[47] * v_[118];
+ v_[285] = v_[253] * v_[285];
+ v_[160] = v_[276] * v_[46] + v_[47] * v_[268];
+ v_[257] = v_[34] * v_[167] + v_[292] * x_in[34];
+ v_[31] = v_[15] * v_[246] + v_[36] * v_[257] + (- v_[286]) * x_in[35];
+ v_[284] = -0.35 * v_[46] + v_[263];
+ v_[296] = v_[4] * v_[284] + v_[297] * v_[205];
+ v_[286] = v_[256] * v_[286];
+ v_[297] = v_[4] * v_[0] + v_[297] * v_[203];
+ v_[293] = -8.81e-05 * v_[294] + 0.881 * v_[31] + -0.881 * (v_[296] - v_[286]) + 0.1104774 * v_[297] + 8.81e-05 * v_[298] - -0.0004405 * v_[293];
+ v_[158] = v_[17] * v_[246] + v_[15] * v_[257] + v_[227] * x_in[35];
+ v_[284] = v_[203] * v_[284] + v_[0] * v_[205] - v_[256] * v_[227];
+ jac[341] = 0.1104774 * v_[31] + 0.0004405 * v_[158] + 0.1104774 * (v_[286] - v_[296]) + 0.025941 * v_[297] - -0.0004405 * v_[284];
+ v_[297] = 8.81e-05 * v_[288] + 0.881 * v_[158] + 0.881 * v_[284] + 8.81e-05 * v_[251] + -0.0004405 * v_[297] - 0.1104774 * v_[295];
+ v_[295] = v_[276] * v_[47] + v_[47] * v_[276];
+ v_[227] = 3.146 * v_[246] + -3.146 * (v_[234] - v_[285]) + 0.47422804 * v_[160] + v_[15] * v_[293] + v_[17] * v_[297] - 0.0825825 * v_[295];
+ v_[263] = v_[268] * v_[263] + v_[46] * v_[118] - v_[253] * v_[292];
+ v_[292] = v_[268] * v_[46] + v_[46] * v_[268];
+ v_[0] = 3.146 * v_[257] + 3.146 * v_[263] + 0.0825825 * v_[160] + v_[36] * v_[293] + v_[15] * v_[297] - 0.47422804 * v_[292];
+ v_[233] = v_[172] + v_[172];
+ v_[224] = 3.44 * v_[167] + 3.44 * v_[277] + 0.5824264 * v_[264] + v_[33] * v_[227] + v_[34] * v_[0] - 0.1466472 * v_[233];
+ v_[284] = -0.1104774 * v_[265] + 8.81e-05 * v_[158] + 0.026409 * v_[288] + 8.81e-05 * v_[284] - 0.1104774 * v_[290] - 0.025713 * v_[251];
+ v_[286] = -0.0004405 * v_[265] + -8.81e-05 * v_[31] + 0.000468 * v_[294] + -0.0004405 * v_[290] + 8.81e-05 * (v_[296] - v_[286]) + -0.000227999999999999 * v_[298];
+ v_[266] = 0.087136 * v_[184] + -0.007418 * v_[272] + -0.47422804 * v_[262] + -0.007418 * v_[291] + -0.000102 * (0 - v_[295]) + v_[15] * v_[284] + v_[17] * v_[286] + -0.35 * v_[266] - 0.47422804 * v_[59] - 0.084376 * v_[236] - 2.1e-05 * v_[160];
+ v_[286] = -0.007418 * v_[184] + 0.005495 * v_[272] + 0.0825825 * v_[262] + 0.002735 * v_[291] + 0.0825825 * v_[59] + -0.000102 * v_[160] + v_[48] * v_[284] + v_[15] * v_[286] - -0.007418 * v_[236] - 2.1e-05 * (0 - v_[292]);
+ jac[339] = 0.1466472 * v_[262] + 0.1466472 * v_[267] + -5.1e-05 * v_[264] + v_[46] * v_[266] + v_[47] * v_[286] + 0.08 * v_[282] - -0.022734 * v_[148];
+ v_[282] = (- v_[56]) * x_in[30];
+ v_[284] = v_[247] * v_[56] + -1 * v_[250];
+ v_[59] = v_[244] * -1;
+ v_[296] = v_[60] * -1;
+ v_[31] = (- v_[296]) * x_in[31];
+ v_[298] = v_[62] * -1;
+ v_[290] = v_[298] * x_in[31];
+ v_[265] = -1 * v_[282];
+ v_[294] = v_[296] * v_[226];
+ v_[158] = v_[61] * v_[56];
+ v_[251] = v_[62] * v_[56];
+ v_[288] = v_[6] * v_[158] + v_[296] * v_[130] - (v_[181] * v_[251] + v_[298] * v_[83]);
+ v_[238] = v_[298] * v_[226];
+ v_[13] = v_[65] * v_[296] + v_[66] * v_[298];
+ v_[275] = v_[65] * v_[31] + v_[76] * v_[290] + (- v_[13]) * x_in[32];
+ v_[159] = v_[76] * v_[296] + v_[65] * v_[298];
+ v_[19] = v_[66] * v_[31] + v_[65] * v_[290] + v_[159] * x_in[32];
+ v_[261] = -0.35 * v_[31] + v_[265];
+ v_[280] = v_[13] * v_[243];
+ v_[124] = v_[65] * v_[158] + v_[67] * v_[251];
+ v_[249] = v_[66] * v_[158] + v_[65] * v_[251];
+ v_[254] = v_[182] * v_[124] + v_[13] * v_[72] - (v_[219] * v_[249] + v_[159] * v_[110]);
+ v_[260] = v_[159] * v_[243];
+ v_[248] = -0.110125 * v_[275] + -0.000881 * v_[19] + 0.881 * v_[261] + 0.110125 * v_[280] + 0.881 * v_[254] + -0.000881 * v_[260];
+ v_[213] = -0.47422804 * v_[31] + 0.0825825 * v_[290] + 3.146 * v_[265] + 0.47422804 * v_[294] + 3.146 * v_[288] + 0.0825825 * v_[238] + v_[248];
+ v_[75] = 3.44 * v_[282] + -3.44 * (0 - v_[284]) + -0.5824264 * v_[59] + -1 * v_[213];
+ v_[207] = v_[41] * x_in[30];
+ v_[289] = 0 - (v_[247] * v_[41] + -1 * v_[183]);
+ v_[240] = v_[185] * -1;
+ v_[255] = v_[61] * v_[207] + (- v_[251]) * x_in[31];
+ v_[137] = 0.08 + -1 * v_[41];
+ v_[194] = v_[6] * v_[137] + v_[296] * v_[141];
+ v_[251] = v_[226] * v_[251];
+ v_[217] = v_[6] * v_[298] + v_[296] * v_[181];
+ v_[202] = v_[62] * v_[207] + v_[158] * x_in[31];
+ v_[99] = v_[65] * v_[255] + v_[67] * v_[202] + (- v_[249]) * x_in[32];
+ v_[186] = -0.35 * v_[298] + v_[137];
+ v_[229] = v_[182] * v_[186] + v_[13] * v_[45];
+ v_[249] = v_[243] * v_[249];
+ v_[239] = v_[182] * v_[159] + v_[13] * v_[219];
+ v_[13] = 0.881 * v_[99] + -0.881 * (v_[229] - v_[249]) + 0.110125 * v_[239] - -0.000881 * (v_[182] * v_[13] + v_[13] * v_[182]);
+ v_[154] = v_[66] * v_[255] + v_[65] * v_[202] + v_[124] * x_in[32];
+ v_[186] = v_[219] * v_[186] + v_[159] * v_[45] - v_[243] * v_[124];
+ jac[338] = 0.110125 * v_[99] + 0.000881 * v_[154] + 0.110125 * (v_[249] - v_[229]) + 0.025941 * v_[239] - -0.000881 * v_[186];
+ v_[186] = 0.881 * v_[154] + 0.881 * v_[186] + -0.000881 * v_[239] - 0.110125 * (v_[219] * v_[159] + v_[159] * v_[219]);
+ v_[296] = v_[6] * v_[296] + v_[296] * v_[6];
+ v_[154] = 3.146 * v_[255] + -3.146 * (v_[194] - v_[251]) + 0.47422804 * v_[217] + v_[65] * v_[13] + v_[66] * v_[186] - 0.0825825 * v_[296];
+ v_[137] = v_[181] * v_[137] + v_[298] * v_[141] - v_[226] * v_[158];
+ v_[298] = v_[181] * v_[298] + v_[298] * v_[181];
+ v_[158] = 3.146 * v_[202] + 3.146 * v_[137] + 0.0825825 * v_[217] + v_[67] * v_[13] + v_[65] * v_[186] - 0.47422804 * v_[298];
+ v_[239] = v_[247] * -1 + -1 * v_[247];
+ v_[159] = 3.44 * v_[207] + 3.44 * v_[289] + -0.5824264 * v_[240] + v_[61] * v_[154] + v_[62] * v_[158] - 0.1466472 * v_[239];
+ v_[280] = -0.110125 * v_[261] + 0.026409 * v_[275] - 0.110125 * v_[254] - 0.025713 * v_[280];
+ v_[260] = -0.000881 * v_[261] + 0.000468 * v_[19] + -0.000227999999999999 * v_[260] + -0.000881 * v_[254];
+ v_[248] = 0.087136 * v_[31] + -0.007418 * v_[290] + -0.47422804 * v_[265] + -0.007418 * v_[238] + -0.000102 * (0 - v_[296]) + v_[65] * v_[280] + v_[66] * v_[260] + -0.35 * v_[248] - 0.47422804 * v_[288] - 0.084376 * v_[294] - 2.1e-05 * v_[217];
+ v_[260] = -0.007418 * v_[31] + 0.005495 * v_[290] + 0.0825825 * v_[265] + 0.002735 * v_[238] + 0.0825825 * v_[288] + -0.000102 * v_[217] + v_[76] * v_[280] + v_[65] * v_[260] - -0.007418 * v_[294] - 2.1e-05 * (0 - v_[298]);
+ jac[336] = 0.1466472 * v_[282] + 0.1466472 * v_[284] + -5.1e-05 * v_[240] + v_[62] * v_[248] + v_[60] * v_[260] + -0.08 * v_[213] - 0.022734 * v_[59];
+ v_[213] = (- v_[81]) * x_in[27];
+ v_[280] = v_[225] * v_[81] + v_[168];
+ v_[288] = (- v_[102]) * x_in[28];
+ v_[265] = v_[101] * x_in[28];
+ v_[254] = v_[102] * v_[165];
+ v_[261] = v_[85] * v_[81];
+ v_[19] = v_[86] * v_[81];
+ v_[275] = v_[139] * v_[261] + v_[102] * v_[23] - (v_[176] * v_[19] + v_[101] * v_[215]);
+ v_[249] = v_[101] * v_[165];
+ v_[229] = v_[89] * v_[102] + v_[90] * v_[101];
+ v_[99] = v_[89] * v_[288] + v_[103] * v_[265] + (- v_[229]) * x_in[29];
+ v_[124] = v_[103] * v_[102] + v_[89] * v_[101];
+ v_[271] = v_[90] * v_[288] + v_[89] * v_[265] + v_[124] * x_in[29];
+ v_[287] = -0.35 * v_[288] + v_[213];
+ v_[281] = v_[89] * v_[261] + v_[91] * v_[19];
+ v_[279] = v_[90] * v_[261] + v_[89] * v_[19];
+ v_[278] = v_[136] * v_[281] + v_[229] * v_[209] - (v_[211] * v_[279] + v_[124] * v_[191]);
+ v_[55] = v_[229] * v_[174];
+ v_[195] = v_[124] * v_[174];
+ v_[274] = v_[211] * v_[124] + v_[124] * v_[211];
+ v_[175] = v_[136] * v_[229] + v_[229] * v_[136];
+ v_[220] = -0.1104774 * v_[99] + 0.0004405 * v_[271] + 0.881 * v_[287] + 0.881 * v_[278] + 0.1104774 * v_[55] + 0.0004405 * v_[195] - -8.81e-05 * (v_[274] + v_[175]);
+ v_[135] = -0.47422804 * v_[288] + -0.0825825 * v_[265] + 3.146 * v_[213] + 0.47422804 * v_[254] + 3.146 * v_[275] + -0.0825825 * v_[249] + v_[220];
+ v_[269] = 3.44 * v_[213] + -3.44 * (0 - v_[280]) + -0.5824264 * v_[189] + v_[135];
+ v_[270] = v_[74] * x_in[27];
+ v_[273] = 0 - (v_[225] * v_[74] + v_[149]);
+ v_[235] = v_[85] * v_[270] + (- v_[19]) * x_in[28];
+ v_[5] = 0.08 + v_[74];
+ v_[169] = v_[139] * v_[5] + v_[102] * v_[2];
+ v_[19] = v_[165] * v_[19];
+ v_[153] = v_[139] * v_[101] + v_[102] * v_[176];
+ v_[150] = v_[86] * v_[270] + v_[261] * x_in[28];
+ v_[228] = v_[89] * v_[235] + v_[91] * v_[150] + (- v_[279]) * x_in[29];
+ v_[196] = -0.35 * v_[101] + v_[5];
+ v_[201] = v_[136] * v_[196] + v_[229] * v_[114];
+ v_[279] = v_[174] * v_[279];
+ v_[229] = v_[136] * v_[124] + v_[229] * v_[211];
+ v_[175] = 8.81e-05 * v_[271] + 0.881 * v_[228] + -0.881 * (v_[201] - v_[279]) + 0.1104774 * v_[229] + -8.81e-05 * v_[195] - 0.0004405 * v_[175];
+ v_[1] = v_[90] * v_[235] + v_[89] * v_[150] + v_[281] * x_in[29];
+ v_[196] = v_[211] * v_[196] + v_[124] * v_[114] - v_[174] * v_[281];
+ jac[335] = 0.1104774 * v_[228] + -0.0004405 * v_[1] + 0.1104774 * (v_[279] - v_[201]) + 0.025941 * v_[229] - 0.0004405 * v_[196];
+ v_[229] = -8.81e-05 * v_[99] + 0.881 * v_[1] + 0.881 * v_[196] + -8.81e-05 * v_[55] + 0.0004405 * v_[229] - 0.1104774 * v_[274];
+ v_[274] = v_[139] * v_[102] + v_[102] * v_[139];
+ v_[281] = 3.146 * v_[235] + -3.146 * (v_[169] - v_[19]) + 0.47422804 * v_[153] + v_[89] * v_[175] + v_[90] * v_[229] - -0.0825825 * v_[274];
+ v_[5] = v_[176] * v_[5] + v_[101] * v_[2] - v_[165] * v_[261];
+ v_[261] = v_[176] * v_[101] + v_[101] * v_[176];
+ v_[124] = 3.146 * v_[150] + 3.146 * v_[5] + -0.0825825 * v_[153] + v_[91] * v_[175] + v_[89] * v_[229] - 0.47422804 * v_[261];
+ v_[212] = v_[225] + v_[225];
+ v_[222] = 3.44 * v_[270] + 3.44 * v_[273] + -0.5824264 * v_[223] + v_[85] * v_[281] + v_[86] * v_[124] - 0.1466472 * v_[212];
+ v_[196] = -0.1104774 * v_[287] + -8.81e-05 * v_[1] + 0.026409 * v_[99] + -8.81e-05 * v_[196] - 0.1104774 * v_[278] - 0.025713 * v_[55];
+ v_[279] = 0.0004405 * v_[287] + 8.81e-05 * v_[228] + 0.000468 * v_[271] + 0.0004405 * v_[278] + -8.81e-05 * (v_[201] - v_[279]) + -0.000227999999999999 * v_[195];
+ v_[220] = 0.087136 * v_[288] + 0.007418 * v_[265] + -0.47422804 * v_[213] + 0.007418 * v_[249] + 0.000102 * (0 - v_[274]) + v_[89] * v_[196] + v_[90] * v_[279] + -0.35 * v_[220] - 0.47422804 * v_[275] - 0.084376 * v_[254] - 2.1e-05 * v_[153];
+ v_[279] = 0.007418 * v_[288] + 0.005495 * v_[265] + -0.0825825 * v_[213] + 0.002735 * v_[249] + -0.0825825 * v_[275] + 0.000102 * v_[153] + v_[103] * v_[196] + v_[89] * v_[279] - 0.007418 * v_[254] - 2.1e-05 * (0 - v_[261]);
+ jac[333] = 0.1466472 * v_[213] + 0.1466472 * v_[280] + -5.1e-05 * v_[223] + v_[101] * v_[220] + v_[102] * v_[279] + 0.08 * v_[135] - 0.022734 * v_[189];
+ v_[135] = (- v_[111]) * x_in[24];
+ v_[196] = v_[21] * v_[111] + -1 * v_[14];
+ v_[275] = v_[73] * -1;
+ v_[201] = v_[115] * -1;
+ v_[228] = (- v_[201]) * x_in[25];
+ v_[195] = v_[117] * -1;
+ v_[278] = v_[195] * x_in[25];
+ v_[287] = -1 * v_[135];
+ v_[271] = v_[201] * v_[142];
+ v_[1] = v_[116] * v_[111];
+ v_[55] = v_[117] * v_[111];
+ v_[99] = v_[39] * v_[1] + v_[201] * v_[10] - (v_[146] * v_[55] + v_[195] * v_[155]);
+ v_[187] = v_[195] * v_[142];
+ v_[162] = v_[120] * v_[201] + v_[121] * v_[195];
+ v_[157] = v_[120] * v_[228] + v_[131] * v_[278] + (- v_[162]) * x_in[26];
+ v_[230] = v_[131] * v_[201] + v_[120] * v_[195];
+ v_[7] = v_[121] * v_[228] + v_[120] * v_[278] + v_[230] * x_in[26];
+ v_[12] = -0.35 * v_[228] + v_[287];
+ v_[22] = v_[120] * v_[1] + v_[122] * v_[55];
+ v_[232] = v_[121] * v_[1] + v_[120] * v_[55];
+ v_[210] = v_[100] * v_[22] + v_[162] * v_[161] - (v_[147] * v_[232] + v_[230] * v_[152]);
+ v_[245] = v_[162] * v_[129];
+ v_[80] = v_[230] * v_[129];
+ v_[206] = v_[147] * v_[230] + v_[230] * v_[147];
+ v_[144] = v_[100] * v_[162] + v_[162] * v_[100];
+ v_[241] = -0.1104774 * v_[157] + 0.0004405 * v_[7] + 0.881 * v_[12] + 0.881 * v_[210] + 0.1104774 * v_[245] + 0.0004405 * v_[80] - -8.81e-05 * (v_[206] + v_[144]);
+ v_[214] = -0.47422804 * v_[228] + -0.0825825 * v_[278] + 3.146 * v_[287] + 0.47422804 * v_[271] + 3.146 * v_[99] + -0.0825825 * v_[187] + v_[241];
+ v_[193] = 3.44 * v_[135] + -3.44 * (0 - v_[196]) + 0.5824264 * v_[275] + -1 * v_[214];
+ v_[145] = v_[96] * x_in[24];
+ v_[156] = 0 - (v_[21] * v_[96] + -1 * v_[197]);
+ v_[299] = v_[94] * -1;
+ v_[300] = v_[116] * v_[145] + (- v_[55]) * x_in[25];
+ v_[301] = 0.08 + -1 * v_[96];
+ v_[302] = v_[39] * v_[301] + v_[201] * v_[198];
+ v_[55] = v_[142] * v_[55];
+ v_[303] = v_[39] * v_[195] + v_[201] * v_[146];
+ v_[304] = v_[117] * v_[145] + v_[1] * x_in[25];
+ v_[305] = v_[120] * v_[300] + v_[122] * v_[304] + (- v_[232]) * x_in[26];
+ v_[306] = -0.35 * v_[195] + v_[301];
+ v_[307] = v_[100] * v_[306] + v_[162] * v_[204];
+ v_[232] = v_[129] * v_[232];
+ v_[162] = v_[100] * v_[230] + v_[162] * v_[147];
+ v_[144] = 8.81e-05 * v_[7] + 0.881 * v_[305] + -0.881 * (v_[307] - v_[232]) + 0.1104774 * v_[162] + -8.81e-05 * v_[80] - 0.0004405 * v_[144];
+ v_[308] = v_[121] * v_[300] + v_[120] * v_[304] + v_[22] * x_in[26];
+ v_[306] = v_[147] * v_[306] + v_[230] * v_[204] - v_[129] * v_[22];
+ jac[332] = 0.1104774 * v_[305] + -0.0004405 * v_[308] + 0.1104774 * (v_[232] - v_[307]) + 0.025941 * v_[162] - 0.0004405 * v_[306];
+ v_[162] = -8.81e-05 * v_[157] + 0.881 * v_[308] + 0.881 * v_[306] + -8.81e-05 * v_[245] + 0.0004405 * v_[162] - 0.1104774 * v_[206];
+ v_[201] = v_[39] * v_[201] + v_[201] * v_[39];
+ v_[206] = 3.146 * v_[300] + -3.146 * (v_[302] - v_[55]) + 0.47422804 * v_[303] + v_[120] * v_[144] + v_[121] * v_[162] - -0.0825825 * v_[201];
+ v_[301] = v_[146] * v_[301] + v_[195] * v_[198] - v_[142] * v_[1];
+ v_[195] = v_[146] * v_[195] + v_[195] * v_[146];
+ v_[1] = 3.146 * v_[304] + 3.146 * v_[301] + -0.0825825 * v_[303] + v_[122] * v_[144] + v_[120] * v_[162] - 0.47422804 * v_[195];
+ v_[22] = v_[21] * -1 + -1 * v_[21];
+ v_[230] = 3.44 * v_[145] + 3.44 * v_[156] + 0.5824264 * v_[299] + v_[116] * v_[206] + v_[117] * v_[1] - 0.1466472 * v_[22];
+ v_[306] = -0.1104774 * v_[12] + -8.81e-05 * v_[308] + 0.026409 * v_[157] + -8.81e-05 * v_[306] - 0.1104774 * v_[210] - 0.025713 * v_[245];
+ v_[232] = 0.0004405 * v_[12] + 8.81e-05 * v_[305] + 0.000468 * v_[7] + 0.0004405 * v_[210] + -8.81e-05 * (v_[307] - v_[232]) + -0.000227999999999999 * v_[80];
+ v_[241] = 0.087136 * v_[228] + 0.007418 * v_[278] + -0.47422804 * v_[287] + 0.007418 * v_[187] + 0.000102 * (0 - v_[201]) + v_[120] * v_[306] + v_[121] * v_[232] + -0.35 * v_[241] - 0.47422804 * v_[99] - 0.084376 * v_[271] - 2.1e-05 * v_[303];
+ v_[232] = 0.007418 * v_[228] + 0.005495 * v_[278] + -0.0825825 * v_[287] + 0.002735 * v_[187] + -0.0825825 * v_[99] + 0.000102 * v_[303] + v_[131] * v_[306] + v_[120] * v_[232] - 0.007418 * v_[271] - 2.1e-05 * (0 - v_[195]);
+ jac[330] = 0.1466472 * v_[135] + 0.1466472 * v_[196] + -5.1e-05 * v_[299] + v_[117] * v_[241] + v_[115] * v_[232] + -0.08 * v_[214] - -0.022734 * v_[275];
+ jac[324] = -0.0053433 * x_in[22] + 2.0678571 * x_in[23] + 0.190812 * x_in[19] + v_[8] * v_[173] + v_[29] * v_[224] + jac[339] + v_[41] * v_[75] + v_[56] * v_[159] + -1 * jac[336] + v_[74] * v_[269] + v_[81] * v_[222] + jac[333] + v_[96] * v_[193] + v_[111] * v_[230] + -1 * jac[330] - -0.00571 * x_in[20];
+ v_[214] = x_in[18] + x_in[18];
+ jac[340] = 2.1e-05 * v_[184] + -0.000102 * v_[272] + 0.47422804 * v_[246] + -0.0825825 * v_[257] + 0.47422804 * (v_[285] - v_[234]) + 0.081641 * v_[160] + 2.1e-05 * v_[236] + v_[126] * v_[293] + v_[107] * v_[297] + jac[341] - 0.0825825 * v_[263] - -0.000102 * v_[291] - -0.007418 * (v_[292] - v_[295]);
+ jac[328] = -53.433 * x_in[23] + -1.1915559 * x_in[19] + v_[24] * v_[173] + v_[16] * v_[224] + v_[50] * v_[75] + v_[58] * v_[159] + v_[52] * v_[269] + v_[54] * v_[222] + v_[105] * v_[193] + v_[113] * v_[230] - -0.0053433 * v_[214];
+ jac[329] = 53.433 * x_in[22] + -1.1915559 * x_in[20] + v_[16] * v_[173] + v_[30] * v_[224] + v_[27] * v_[75] + v_[57] * v_[159] + v_[54] * v_[269] + v_[82] * v_[222] + v_[79] * v_[193] + v_[112] * v_[230] - 2.0678571 * v_[214];
+ v_[292] = v_[264] * v_[8] - v_[148] * v_[29];
+ v_[277] = 0.5824264 * v_[167] + 0.5824264 * v_[277] + -3.6e-05 * v_[148] + -0.022734 * v_[233] + v_[109] * v_[227] + v_[32] * v_[0] + jac[340] - 0.1466472 * v_[292] - -0.123672 * v_[264];
+ v_[286] = -0.5824264 * v_[262] + -0.133138 * v_[148] + 0.5824264 * (0 - v_[267]) + v_[47] * v_[266] + v_[34] * v_[286] - -3.6e-05 * v_[264] - -5.1e-05 * v_[233];
+ jac[337] = 2.1e-05 * v_[31] + -0.000102 * v_[290] + 0.47422804 * v_[255] + -0.0825825 * v_[202] + 0.47422804 * (v_[251] - v_[194]) + 0.081641 * v_[217] + 2.1e-05 * v_[294] + v_[3] * v_[13] + v_[132] * v_[186] + jac[338] - 0.0825825 * v_[137] - -0.000102 * v_[238] - -0.007418 * (v_[298] - v_[296]);
+ v_[298] = v_[185] * v_[41] - v_[244] * v_[56];
+ v_[289] = -0.5824264 * v_[207] + -0.5824264 * v_[289] + 3.6e-05 * v_[59] + 0.022734 * v_[239] + v_[40] * v_[154] + v_[38] * v_[158] + -1 * jac[337] - 0.1466472 * v_[298] - -0.123672 * v_[240];
+ v_[260] = 0.5824264 * v_[282] + -0.133138 * v_[59] + -0.5824264 * (0 - v_[284]) + v_[70] * v_[248] + v_[62] * v_[260] - 3.6e-05 * v_[240] - -5.1e-05 * v_[239];
+ jac[334] = 2.1e-05 * v_[288] + 0.000102 * v_[265] + 0.47422804 * v_[235] + 0.0825825 * v_[150] + 0.47422804 * (v_[19] - v_[169]) + 0.081641 * v_[153] + 2.1e-05 * v_[254] + v_[64] * v_[175] + v_[133] * v_[229] + jac[335] - -0.0825825 * v_[5] - 0.000102 * v_[249] - 0.007418 * (v_[261] - v_[274]);
+ v_[261] = v_[223] * v_[74] - v_[189] * v_[81];
+ v_[273] = -0.5824264 * v_[270] + -0.5824264 * v_[273] + 3.6e-05 * v_[189] + 0.022734 * v_[212] + v_[68] * v_[281] + v_[84] * v_[124] + jac[334] - 0.1466472 * v_[261] - -0.123672 * v_[223];
+ v_[279] = 0.5824264 * v_[213] + -0.133138 * v_[189] + -0.5824264 * (0 - v_[280]) + v_[102] * v_[220] + v_[86] * v_[279] - 3.6e-05 * v_[223] - -5.1e-05 * v_[212];
+ jac[331] = 2.1e-05 * v_[228] + 0.000102 * v_[278] + 0.47422804 * v_[300] + 0.0825825 * v_[304] + 0.47422804 * (v_[55] - v_[302]) + 0.081641 * v_[303] + 2.1e-05 * v_[271] + v_[88] * v_[144] + v_[134] * v_[162] + jac[332] - -0.0825825 * v_[301] - 0.000102 * v_[187] - 0.007418 * (v_[195] - v_[201]);
+ v_[195] = v_[94] * v_[96] - v_[73] * v_[111];
+ v_[156] = 0.5824264 * v_[145] + 0.5824264 * v_[156] + -3.6e-05 * v_[275] + -0.022734 * v_[22] + v_[95] * v_[206] + v_[93] * v_[1] + -1 * jac[331] - 0.1466472 * v_[195] - -0.123672 * v_[299];
+ v_[232] = -0.5824264 * v_[135] + -0.133138 * v_[275] + 0.5824264 * (0 - v_[196]) + v_[125] * v_[241] + v_[117] * v_[232] - -3.6e-05 * v_[299] - -5.1e-05 * v_[22];
+ jac[325] = 0.190812 * (0 - v_[214]) + v_[24] * v_[277] + v_[16] * v_[286] + v_[26] * v_[173] + v_[25] * v_[224] + v_[42] * v_[289] + v_[71] * v_[260] + v_[53] * v_[75] + v_[51] * v_[159] + v_[52] * v_[273] + v_[54] * v_[279] + v_[78] * v_[269] + v_[77] * v_[222] + v_[97] * v_[156] + v_[127] * v_[232] + v_[108] * v_[193] + v_[106] * v_[230] - -1.1915559 * x_in[22] - 4.847485 * x_in[20] - 0.012668 * x_in[19];
+ v_[292] = 3.44 * v_[292] + 0.1466472 * v_[264] + v_[35] * v_[227] + v_[37] * v_[0];
+ v_[298] = 3.44 * v_[298] + 0.1466472 * v_[240] + v_[62] * v_[154] + v_[60] * v_[158];
+ v_[261] = 3.44 * v_[261] + 0.1466472 * v_[223] + v_[87] * v_[281] + v_[92] * v_[124];
+ v_[195] = 3.44 * v_[195] + 0.1466472 * v_[299] + v_[117] * v_[206] + v_[115] * v_[1];
+ jac[326] = -1.1915559 * (0 - x_in[23]) + 4.374212 * x_in[19] + 0.012668 * x_in[20] + v_[16] * v_[277] + v_[20] * v_[286] + 0.207 * v_[292] + v_[43] * v_[173] + v_[123] * v_[224] + v_[27] * v_[289] + v_[42] * v_[260] + 0.207 * v_[298] + v_[49] * v_[75] + v_[69] * v_[159] + v_[54] * v_[273] + v_[63] * v_[279] + 0.207 * v_[261] + v_[98] * v_[269] + v_[119] * v_[222] + v_[79] * v_[156] + v_[97] * v_[232] + 0.207 * v_[195] + v_[104] * v_[193] + v_[128] * v_[230] - -0.00571 * (0 - v_[214]);
+ jac[327] = 2.0678571 * x_in[20] + -0.0053433 * x_in[19] + v_[292] + -1 * v_[298] + v_[261] + -1 * v_[195];
+ v_[195] = 0 - x_in[21];
+ v_[261] = v_[24] * x_in[33];
+ v_[298] = (- v_[25]) * x_in[33];
+ v_[292] = v_[264] * v_[24] + v_[16] * v_[148];
+ v_[232] = v_[16] * v_[199];
+ v_[156] = v_[172] * v_[25];
+ v_[279] = v_[24] * v_[172];
+ v_[273] = v_[34] * v_[16];
+ v_[260] = v_[47] * v_[261] + (- v_[273]) * x_in[34];
+ v_[289] = v_[47] * v_[16];
+ v_[286] = v_[34] * v_[261] + v_[289] * x_in[34];
+ v_[277] = v_[276] * v_[24] + v_[273] * v_[253];
+ v_[214] = v_[33] * v_[25] + v_[109] * v_[24];
+ v_[230] = v_[34] * v_[25] + v_[32] * v_[24];
+ v_[193] = v_[276] * v_[214] + v_[273] * v_[231] - (v_[268] * v_[230] + v_[289] * v_[11]);
+ v_[222] = v_[268] * v_[24] + v_[289] * v_[253];
+ v_[269] = v_[15] * v_[273] + v_[17] * v_[289];
+ v_[159] = v_[15] * v_[260] + v_[48] * v_[286] + (- v_[269]) * x_in[35];
+ v_[75] = v_[48] * v_[273] + v_[15] * v_[289];
+ v_[224] = v_[17] * v_[260] + v_[15] * v_[286] + v_[75] * x_in[35];
+ v_[173] = -0.35 * v_[260] + v_[298];
+ v_[1] = v_[15] * v_[214] + v_[36] * v_[230] + v_[126] * v_[24];
+ v_[206] = v_[17] * v_[214] + v_[15] * v_[230] + v_[107] * v_[24];
+ v_[299] = v_[4] * v_[1] + v_[269] * v_[138] - (v_[203] * v_[206] + v_[75] * v_[166]);
+ v_[124] = v_[4] * v_[24] + v_[269] * v_[256];
+ v_[281] = v_[203] * v_[24] + v_[75] * v_[256];
+ v_[158] = v_[203] * v_[75] + v_[75] * v_[203];
+ v_[154] = v_[4] * v_[269] + v_[269] * v_[4];
+ v_[240] = -0.1104774 * v_[159] + -0.0004405 * v_[224] + 0.881 * v_[173] + 0.881 * v_[299] + 0.1104774 * v_[124] + -0.0004405 * v_[281] - 8.81e-05 * (v_[158] + v_[154]);
+ v_[0] = -0.47422804 * v_[260] + 0.0825825 * v_[286] + 3.146 * v_[298] + 0.47422804 * v_[277] + 3.146 * v_[193] + 0.0825825 * v_[222] + v_[240];
+ v_[227] = -0.5824264 * v_[261] + 3.44 * v_[298] + 0.1466472 * v_[292] + -3.44 * (v_[232] - v_[156]) + 0.5824264 * v_[279] + v_[0];
+ v_[241] = v_[26] * x_in[33];
+ v_[22] = (- v_[16]) * x_in[33];
+ v_[275] = v_[24] * v_[199] - v_[172] * v_[26];
+ v_[196] = v_[16] * v_[172];
+ v_[135] = v_[33] * v_[241] + v_[109] * v_[22] + (- v_[230]) * x_in[34];
+ v_[145] = v_[276] * v_[26] + v_[273] * v_[118];
+ v_[230] = v_[253] * v_[230] + v_[24] * v_[11];
+ v_[301] = v_[276] * v_[289] + v_[273] * v_[268];
+ v_[201] = v_[34] * v_[241] + v_[32] * v_[22] + v_[214] * x_in[34];
+ v_[162] = v_[15] * v_[135] + v_[36] * v_[201] + v_[126] * v_[22] + (- v_[206]) * x_in[35];
+ v_[144] = -0.35 * v_[289] + v_[26];
+ v_[304] = v_[4] * v_[144] + v_[269] * v_[205];
+ v_[206] = v_[256] * v_[206] + v_[24] * v_[166];
+ v_[269] = v_[4] * v_[75] + v_[269] * v_[203];
+ v_[303] = v_[256] * v_[24] + v_[24] * v_[256];
+ v_[154] = 0.1104774 * v_[22] + -8.81e-05 * v_[224] + 0.881 * v_[162] + -0.881 * (v_[304] - v_[206]) + 0.1104774 * v_[269] + 8.81e-05 * v_[281] - -0.0004405 * (v_[303] + v_[154]);
+ v_[55] = v_[17] * v_[135] + v_[15] * v_[201] + v_[107] * v_[22] + v_[1] * x_in[35];
+ v_[144] = v_[203] * v_[144] + v_[75] * v_[205] - (v_[256] * v_[1] + v_[24] * v_[138]);
+ jac[359] = 0.1104774 * v_[162] + 0.0004405 * v_[55] + 0.026181 * v_[22] + 0.1104774 * (v_[206] - v_[304]) + 0.025941 * v_[269] - -0.0004405 * v_[144];
+ v_[303] = 0.0004405 * v_[22] + 8.81e-05 * v_[159] + 0.881 * v_[55] + 0.881 * v_[144] + 8.81e-05 * v_[124] + -0.0004405 * v_[269] - 0.1104774 * (v_[303] + v_[158]);
+ v_[269] = v_[253] * v_[24] + v_[24] * v_[253];
+ v_[273] = v_[276] * v_[273] + v_[273] * v_[276];
+ v_[158] = 3.146 * v_[135] + 0.47422804 * v_[22] + -3.146 * (v_[145] - v_[230]) + 0.47422804 * v_[301] + v_[15] * v_[154] + v_[17] * v_[303] - 0.0825825 * (v_[269] + v_[273]);
+ v_[214] = v_[268] * v_[26] + v_[289] * v_[118] - (v_[253] * v_[214] + v_[24] * v_[231]);
+ v_[289] = v_[268] * v_[289] + v_[289] * v_[268];
+ v_[1] = 3.146 * v_[201] + -0.0825825 * v_[22] + 3.146 * v_[214] + 0.0825825 * v_[301] + v_[36] * v_[154] + v_[15] * v_[303] - 0.47422804 * (v_[269] + v_[289]);
+ v_[75] = v_[148] * v_[24] + v_[24] * v_[148];
+ v_[302] = 3.44 * v_[241] + 0.5824264 * v_[22] + 3.44 * v_[275] + 0.5824264 * v_[196] + v_[33] * v_[158] + v_[34] * v_[1] - 0.1466472 * v_[75];
+ v_[144] = -0.1104774 * v_[173] + 8.81e-05 * v_[55] + 0.026409 * v_[159] + 8.81e-05 * v_[144] - 0.1104774 * v_[299] - 0.025713 * v_[124];
+ v_[206] = -0.0004405 * v_[173] + -8.81e-05 * v_[162] + 0.000468 * v_[224] + -0.0004405 * v_[299] + 8.81e-05 * (v_[304] - v_[206]) + -0.000227999999999999 * v_[281];
+ v_[240] = 2.1e-05 * v_[22] + 0.087136 * v_[260] + -0.007418 * v_[286] + -0.47422804 * v_[298] + -0.007418 * v_[222] + -0.000102 * (v_[269] - v_[273]) + v_[15] * v_[144] + v_[17] * v_[206] + -0.35 * v_[240] - 0.47422804 * v_[193] - 0.084376 * v_[277] - 2.1e-05 * v_[301];
+ v_[206] = -0.000102 * v_[22] + -0.007418 * v_[260] + 0.005495 * v_[286] + 0.0825825 * v_[298] + 0.002735 * v_[222] + 0.0825825 * v_[193] + -0.000102 * v_[301] + v_[48] * v_[144] + v_[15] * v_[206] - -0.007418 * v_[277] - 2.1e-05 * (v_[269] - v_[289]);
+ v_[144] = v_[264] * v_[16] + v_[16] * v_[264];
+ jac[357] = -5.1e-05 * v_[22] + -0.022734 * v_[261] + 0.1466472 * v_[298] + 0.009466 * v_[292] + 0.1466472 * (v_[156] - v_[232]) + -5.1e-05 * v_[196] + v_[46] * v_[240] + v_[47] * v_[206] + 0.08 * v_[0] - -0.022734 * v_[279] - -3.6e-05 * (v_[75] - v_[144]);
+ v_[0] = v_[42] * x_in[30];
+ v_[269] = (- v_[51]) * x_in[30];
+ v_[193] = v_[185] * v_[42] + v_[71] * v_[244];
+ v_[304] = v_[71] * v_[252];
+ v_[162] = v_[247] * v_[51];
+ v_[281] = v_[42] * v_[247];
+ v_[299] = v_[62] * v_[71];
+ v_[173] = v_[70] * v_[0] + (- v_[299]) * x_in[31];
+ v_[224] = v_[70] * v_[71];
+ v_[55] = v_[62] * v_[0] + v_[224] * x_in[31];
+ v_[124] = -1 * v_[269];
+ v_[159] = -1 * v_[42];
+ v_[300] = v_[6] * v_[159] + v_[299] * v_[226];
+ v_[187] = v_[61] * v_[51] + v_[40] * v_[42];
+ v_[271] = v_[62] * v_[51] + v_[38] * v_[42];
+ v_[278] = v_[6] * v_[187] + v_[299] * v_[130] - (v_[181] * v_[271] + v_[224] * v_[83]);
+ v_[228] = v_[181] * v_[159] + v_[224] * v_[226];
+ v_[220] = v_[65] * v_[299] + v_[66] * v_[224];
+ v_[212] = v_[65] * v_[173] + v_[76] * v_[55] + (- v_[220]) * x_in[32];
+ v_[280] = v_[76] * v_[299] + v_[65] * v_[224];
+ v_[213] = v_[66] * v_[173] + v_[65] * v_[55] + v_[280] * x_in[32];
+ v_[270] = -0.35 * v_[173] + v_[124];
+ v_[5] = v_[182] * v_[159] + v_[220] * v_[243];
+ v_[274] = v_[65] * v_[187] + v_[67] * v_[271] + v_[3] * v_[159];
+ v_[229] = v_[66] * v_[187] + v_[65] * v_[271] + v_[132] * v_[159];
+ v_[175] = v_[182] * v_[274] + v_[220] * v_[72] - (v_[219] * v_[229] + v_[280] * v_[110]);
+ v_[150] = v_[219] * v_[159] + v_[280] * v_[243];
+ v_[153] = -0.110125 * v_[212] + -0.000881 * v_[213] + 0.881 * v_[270] + 0.110125 * v_[5] + 0.881 * v_[175] + -0.000881 * v_[150];
+ v_[19] = -0.47422804 * v_[173] + 0.0825825 * v_[55] + 3.146 * v_[124] + 0.47422804 * v_[300] + 3.146 * v_[278] + 0.0825825 * v_[228] + v_[153];
+ v_[169] = 0.5824264 * v_[0] + 3.44 * v_[269] + 0.1466472 * v_[193] + -3.44 * (v_[304] - v_[162]) + -0.5824264 * v_[281] + -1 * v_[19];
+ v_[235] = v_[53] * x_in[30];
+ v_[249] = (- v_[71]) * x_in[30];
+ v_[254] = v_[42] * v_[252] - v_[247] * v_[53];
+ v_[265] = v_[71] * v_[247];
+ v_[288] = v_[61] * v_[235] + v_[40] * v_[249] + (- v_[271]) * x_in[31];
+ v_[248] = -1 * v_[249];
+ v_[239] = -1 * v_[53];
+ v_[59] = v_[6] * v_[239] + v_[299] * v_[141];
+ v_[271] = v_[226] * v_[271] + v_[159] * v_[83];
+ v_[284] = v_[6] * v_[224] + v_[299] * v_[181];
+ v_[282] = v_[62] * v_[235] + v_[38] * v_[249] + v_[187] * x_in[31];
+ v_[207] = v_[65] * v_[288] + v_[67] * v_[282] + v_[3] * v_[248] + (- v_[229]) * x_in[32];
+ v_[137] = -0.35 * v_[224] + v_[239];
+ v_[296] = v_[182] * v_[137] + v_[220] * v_[45];
+ v_[229] = v_[243] * v_[229] + v_[159] * v_[110];
+ v_[186] = v_[182] * v_[280] + v_[220] * v_[219];
+ v_[13] = v_[243] * v_[159] + v_[159] * v_[243];
+ v_[220] = 0.881 * v_[207] + 0.110125 * v_[248] + -0.881 * (v_[296] - v_[229]) + 0.110125 * v_[186] - -0.000881 * (v_[13] + v_[182] * v_[220] + v_[220] * v_[182]);
+ v_[202] = v_[66] * v_[288] + v_[65] * v_[282] + v_[132] * v_[248] + v_[274] * x_in[32];
+ v_[137] = v_[219] * v_[137] + v_[280] * v_[45] - (v_[243] * v_[274] + v_[159] * v_[72]);
+ jac[356] = 0.110125 * v_[207] + 0.000881 * v_[202] + 0.026181 * v_[248] + 0.110125 * (v_[229] - v_[296]) + 0.025941 * v_[186] - -0.000881 * v_[137];
+ v_[137] = 0.881 * v_[202] + 0.000881 * v_[248] + 0.881 * v_[137] + -0.000881 * v_[186] - 0.110125 * (v_[13] + v_[219] * v_[280] + v_[280] * v_[219]);
+ v_[202] = v_[226] * v_[159] + v_[159] * v_[226];
+ v_[299] = v_[6] * v_[299] + v_[299] * v_[6];
+ v_[13] = 3.146 * v_[288] + 0.47422804 * v_[248] + -3.146 * (v_[59] - v_[271]) + 0.47422804 * v_[284] + v_[65] * v_[220] + v_[66] * v_[137] - 0.0825825 * (v_[202] + v_[299]);
+ v_[239] = v_[181] * v_[239] + v_[224] * v_[141] - (v_[226] * v_[187] + v_[159] * v_[130]);
+ v_[224] = v_[181] * v_[224] + v_[224] * v_[181];
+ v_[187] = 3.146 * v_[282] + -0.0825825 * v_[248] + 3.146 * v_[239] + 0.0825825 * v_[284] + v_[67] * v_[220] + v_[65] * v_[137] - 0.47422804 * (v_[202] + v_[224]);
+ v_[159] = v_[244] * v_[42] + v_[42] * v_[244];
+ v_[186] = 3.44 * v_[235] + -0.5824264 * v_[249] + 3.44 * v_[254] + -0.5824264 * v_[265] + v_[61] * v_[13] + v_[62] * v_[187] - 0.1466472 * v_[159];
+ v_[5] = -0.110125 * v_[270] + 0.026409 * v_[212] - 0.110125 * v_[175] - 0.025713 * v_[5];
+ v_[150] = -0.000881 * v_[270] + 0.000468 * v_[213] + -0.000227999999999999 * v_[150] + -0.000881 * v_[175];
+ v_[153] = 2.1e-05 * v_[248] + 0.087136 * v_[173] + -0.007418 * v_[55] + -0.47422804 * v_[124] + -0.007418 * v_[228] + -0.000102 * (v_[202] - v_[299]) + v_[65] * v_[5] + v_[66] * v_[150] + -0.35 * v_[153] - 0.47422804 * v_[278] - 0.084376 * v_[300] - 2.1e-05 * v_[284];
+ v_[150] = -0.000102 * v_[248] + -0.007418 * v_[173] + 0.005495 * v_[55] + 0.0825825 * v_[124] + 0.002735 * v_[228] + 0.0825825 * v_[278] + -0.000102 * v_[284] + v_[76] * v_[5] + v_[65] * v_[150] - -0.007418 * v_[300] - 2.1e-05 * (v_[202] - v_[224]);
+ v_[5] = v_[185] * v_[71] + v_[71] * v_[185];
+ jac[354] = -5.1e-05 * v_[249] + 0.022734 * v_[0] + 0.1466472 * v_[269] + 0.009466 * v_[193] + 0.1466472 * (v_[162] - v_[304]) + -5.1e-05 * v_[265] + v_[62] * v_[153] + v_[60] * v_[150] + -0.08 * v_[19] - 0.022734 * v_[281] - 3.6e-05 * (v_[159] - v_[5]);
+ v_[19] = v_[52] * x_in[27];
+ v_[202] = (- v_[77]) * x_in[27];
+ v_[278] = v_[223] * v_[52] + v_[54] * v_[189];
+ v_[124] = v_[54] * v_[188];
+ v_[175] = v_[225] * v_[77];
+ v_[270] = v_[52] * v_[225];
+ v_[213] = v_[86] * v_[54];
+ v_[212] = v_[102] * v_[19] + (- v_[213]) * x_in[28];
+ v_[280] = v_[102] * v_[54];
+ v_[229] = v_[86] * v_[19] + v_[280] * x_in[28];
+ v_[296] = v_[139] * v_[52] + v_[213] * v_[165];
+ v_[207] = v_[85] * v_[77] + v_[68] * v_[52];
+ v_[274] = v_[86] * v_[77] + v_[84] * v_[52];
+ v_[217] = v_[139] * v_[207] + v_[213] * v_[23] - (v_[176] * v_[274] + v_[280] * v_[215]);
+ v_[251] = v_[176] * v_[52] + v_[280] * v_[165];
+ v_[194] = v_[89] * v_[213] + v_[90] * v_[280];
+ v_[255] = v_[89] * v_[212] + v_[103] * v_[229] + (- v_[194]) * x_in[29];
+ v_[238] = v_[103] * v_[213] + v_[89] * v_[280];
+ v_[294] = v_[90] * v_[212] + v_[89] * v_[229] + v_[238] * x_in[29];
+ v_[290] = -0.35 * v_[212] + v_[202];
+ v_[31] = v_[89] * v_[207] + v_[91] * v_[274] + v_[64] * v_[52];
+ v_[266] = v_[90] * v_[207] + v_[89] * v_[274] + v_[133] * v_[52];
+ v_[233] = v_[136] * v_[31] + v_[194] * v_[209] - (v_[211] * v_[266] + v_[238] * v_[191]);
+ v_[267] = v_[136] * v_[52] + v_[194] * v_[174];
+ v_[262] = v_[211] * v_[52] + v_[238] * v_[174];
+ v_[167] = v_[211] * v_[238] + v_[238] * v_[211];
+ v_[263] = v_[136] * v_[194] + v_[194] * v_[136];
+ v_[295] = -0.1104774 * v_[255] + 0.0004405 * v_[294] + 0.881 * v_[290] + 0.881 * v_[233] + 0.1104774 * v_[267] + 0.0004405 * v_[262] - -8.81e-05 * (v_[167] + v_[263]);
+ v_[297] = -0.47422804 * v_[212] + -0.0825825 * v_[229] + 3.146 * v_[202] + 0.47422804 * v_[296] + 3.146 * v_[217] + -0.0825825 * v_[251] + v_[295];
+ v_[293] = 0.5824264 * v_[19] + 3.44 * v_[202] + 0.1466472 * v_[278] + -3.44 * (v_[124] - v_[175]) + -0.5824264 * v_[270] + v_[297];
+ v_[257] = v_[78] * x_in[27];
+ v_[160] = (- v_[54]) * x_in[27];
+ v_[285] = v_[52] * v_[188] - v_[225] * v_[78];
+ v_[234] = v_[54] * v_[225];
+ v_[246] = v_[85] * v_[257] + v_[68] * v_[160] + (- v_[274]) * x_in[28];
+ v_[291] = v_[139] * v_[78] + v_[213] * v_[2];
+ v_[274] = v_[165] * v_[274] + v_[52] * v_[215];
+ v_[236] = v_[139] * v_[280] + v_[213] * v_[176];
+ v_[272] = v_[86] * v_[257] + v_[84] * v_[160] + v_[207] * x_in[28];
+ v_[184] = v_[89] * v_[246] + v_[91] * v_[272] + v_[64] * v_[160] + (- v_[266]) * x_in[29];
+ v_[306] = -0.35 * v_[280] + v_[78];
+ v_[99] = v_[136] * v_[306] + v_[194] * v_[114];
+ v_[266] = v_[174] * v_[266] + v_[52] * v_[191];
+ v_[194] = v_[136] * v_[238] + v_[194] * v_[211];
+ v_[287] = v_[174] * v_[52] + v_[52] * v_[174];
+ v_[263] = 0.1104774 * v_[160] + 8.81e-05 * v_[294] + 0.881 * v_[184] + -0.881 * (v_[99] - v_[266]) + 0.1104774 * v_[194] + -8.81e-05 * v_[262] - 0.0004405 * (v_[287] + v_[263]);
+ v_[307] = v_[90] * v_[246] + v_[89] * v_[272] + v_[133] * v_[160] + v_[31] * x_in[29];
+ v_[306] = v_[211] * v_[306] + v_[238] * v_[114] - (v_[174] * v_[31] + v_[52] * v_[209]);
+ jac[353] = 0.1104774 * v_[184] + -0.0004405 * v_[307] + 0.026181 * v_[160] + 0.1104774 * (v_[266] - v_[99]) + 0.025941 * v_[194] - 0.0004405 * v_[306];
+ v_[287] = -0.0004405 * v_[160] + -8.81e-05 * v_[255] + 0.881 * v_[307] + 0.881 * v_[306] + -8.81e-05 * v_[267] + 0.0004405 * v_[194] - 0.1104774 * (v_[287] + v_[167]);
+ v_[194] = v_[165] * v_[52] + v_[52] * v_[165];
+ v_[213] = v_[139] * v_[213] + v_[213] * v_[139];
+ v_[167] = 3.146 * v_[246] + 0.47422804 * v_[160] + -3.146 * (v_[291] - v_[274]) + 0.47422804 * v_[236] + v_[89] * v_[263] + v_[90] * v_[287] - -0.0825825 * (v_[194] + v_[213]);
+ v_[207] = v_[176] * v_[78] + v_[280] * v_[2] - (v_[165] * v_[207] + v_[52] * v_[23]);
+ v_[280] = v_[176] * v_[280] + v_[280] * v_[176];
+ v_[31] = 3.146 * v_[272] + 0.0825825 * v_[160] + 3.146 * v_[207] + -0.0825825 * v_[236] + v_[91] * v_[263] + v_[89] * v_[287] - 0.47422804 * (v_[194] + v_[280]);
+ v_[238] = v_[189] * v_[52] + v_[52] * v_[189];
+ v_[305] = 3.44 * v_[257] + -0.5824264 * v_[160] + 3.44 * v_[285] + -0.5824264 * v_[234] + v_[85] * v_[167] + v_[86] * v_[31] - 0.1466472 * v_[238];
+ v_[306] = -0.1104774 * v_[290] + -8.81e-05 * v_[307] + 0.026409 * v_[255] + -8.81e-05 * v_[306] - 0.1104774 * v_[233] - 0.025713 * v_[267];
+ v_[266] = 0.0004405 * v_[290] + 8.81e-05 * v_[184] + 0.000468 * v_[294] + 0.0004405 * v_[233] + -8.81e-05 * (v_[99] - v_[266]) + -0.000227999999999999 * v_[262];
+ v_[295] = 2.1e-05 * v_[160] + 0.087136 * v_[212] + 0.007418 * v_[229] + -0.47422804 * v_[202] + 0.007418 * v_[251] + 0.000102 * (v_[194] - v_[213]) + v_[89] * v_[306] + v_[90] * v_[266] + -0.35 * v_[295] - 0.47422804 * v_[217] - 0.084376 * v_[296] - 2.1e-05 * v_[236];
+ v_[266] = 0.000102 * v_[160] + 0.007418 * v_[212] + 0.005495 * v_[229] + -0.0825825 * v_[202] + 0.002735 * v_[251] + -0.0825825 * v_[217] + 0.000102 * v_[236] + v_[103] * v_[306] + v_[89] * v_[266] - 0.007418 * v_[296] - 2.1e-05 * (v_[194] - v_[280]);
+ v_[306] = v_[223] * v_[54] + v_[54] * v_[223];
+ jac[351] = -5.1e-05 * v_[160] + 0.022734 * v_[19] + 0.1466472 * v_[202] + 0.009466 * v_[278] + 0.1466472 * (v_[175] - v_[124]) + -5.1e-05 * v_[234] + v_[101] * v_[295] + v_[102] * v_[266] + 0.08 * v_[297] - 0.022734 * v_[270] - 3.6e-05 * (v_[238] - v_[306]);
+ v_[297] = v_[97] * x_in[24];
+ v_[194] = (- v_[106]) * x_in[24];
+ v_[217] = v_[94] * v_[97] + v_[127] * v_[73];
+ v_[99] = v_[127] * v_[151];
+ v_[184] = v_[21] * v_[106];
+ v_[262] = v_[97] * v_[21];
+ v_[233] = v_[117] * v_[127];
+ v_[290] = v_[125] * v_[297] + (- v_[233]) * x_in[25];
+ v_[294] = v_[125] * v_[127];
+ v_[307] = v_[117] * v_[297] + v_[294] * x_in[25];
+ v_[267] = -1 * v_[194];
+ v_[255] = -1 * v_[97];
+ v_[80] = v_[39] * v_[255] + v_[233] * v_[142];
+ v_[210] = v_[116] * v_[106] + v_[95] * v_[97];
+ v_[12] = v_[117] * v_[106] + v_[93] * v_[97];
+ v_[7] = v_[39] * v_[210] + v_[233] * v_[10] - (v_[146] * v_[12] + v_[294] * v_[155]);
+ v_[308] = v_[146] * v_[255] + v_[294] * v_[142];
+ v_[245] = v_[120] * v_[233] + v_[121] * v_[294];
+ v_[157] = v_[120] * v_[290] + v_[131] * v_[307] + (- v_[245]) * x_in[26];
+ v_[309] = v_[131] * v_[233] + v_[120] * v_[294];
+ v_[310] = v_[121] * v_[290] + v_[120] * v_[307] + v_[309] * x_in[26];
+ v_[311] = -0.35 * v_[290] + v_[267];
+ v_[312] = v_[120] * v_[210] + v_[122] * v_[12] + v_[88] * v_[255];
+ v_[313] = v_[121] * v_[210] + v_[120] * v_[12] + v_[134] * v_[255];
+ v_[314] = v_[100] * v_[312] + v_[245] * v_[161] - (v_[147] * v_[313] + v_[309] * v_[152]);
+ v_[315] = v_[100] * v_[255] + v_[245] * v_[129];
+ v_[316] = v_[147] * v_[255] + v_[309] * v_[129];
+ v_[317] = v_[147] * v_[309] + v_[309] * v_[147];
+ v_[318] = v_[100] * v_[245] + v_[245] * v_[100];
+ v_[319] = -0.1104774 * v_[157] + 0.0004405 * v_[310] + 0.881 * v_[311] + 0.881 * v_[314] + 0.1104774 * v_[315] + 0.0004405 * v_[316] - -8.81e-05 * (v_[317] + v_[318]);
+ v_[320] = -0.47422804 * v_[290] + -0.0825825 * v_[307] + 3.146 * v_[267] + 0.47422804 * v_[80] + 3.146 * v_[7] + -0.0825825 * v_[308] + v_[319];
+ v_[321] = -0.5824264 * v_[297] + 3.44 * v_[194] + 0.1466472 * v_[217] + -3.44 * (v_[99] - v_[184]) + 0.5824264 * v_[262] + -1 * v_[320];
+ v_[322] = v_[108] * x_in[24];
+ v_[323] = (- v_[127]) * x_in[24];
+ v_[324] = v_[97] * v_[151] - v_[21] * v_[108];
+ v_[325] = v_[127] * v_[21];
+ v_[326] = v_[116] * v_[322] + v_[95] * v_[323] + (- v_[12]) * x_in[25];
+ v_[327] = -1 * v_[323];
+ v_[328] = -1 * v_[108];
+ v_[329] = v_[39] * v_[328] + v_[233] * v_[198];
+ v_[12] = v_[142] * v_[12] + v_[255] * v_[155];
+ v_[330] = v_[39] * v_[294] + v_[233] * v_[146];
+ v_[331] = v_[117] * v_[322] + v_[93] * v_[323] + v_[210] * x_in[25];
+ v_[332] = v_[120] * v_[326] + v_[122] * v_[331] + v_[88] * v_[327] + (- v_[313]) * x_in[26];
+ v_[333] = -0.35 * v_[294] + v_[328];
+ v_[334] = v_[100] * v_[333] + v_[245] * v_[204];
+ v_[313] = v_[129] * v_[313] + v_[255] * v_[152];
+ v_[245] = v_[100] * v_[309] + v_[245] * v_[147];
+ v_[335] = v_[129] * v_[255] + v_[255] * v_[129];
+ v_[318] = 0.1104774 * v_[327] + 8.81e-05 * v_[310] + 0.881 * v_[332] + -0.881 * (v_[334] - v_[313]) + 0.1104774 * v_[245] + -8.81e-05 * v_[316] - 0.0004405 * (v_[335] + v_[318]);
+ v_[336] = v_[121] * v_[326] + v_[120] * v_[331] + v_[134] * v_[327] + v_[312] * x_in[26];
+ v_[333] = v_[147] * v_[333] + v_[309] * v_[204] - (v_[129] * v_[312] + v_[255] * v_[161]);
+ jac[350] = 0.1104774 * v_[332] + -0.0004405 * v_[336] + 0.026181 * v_[327] + 0.1104774 * (v_[313] - v_[334]) + 0.025941 * v_[245] - 0.0004405 * v_[333];
+ v_[335] = -0.0004405 * v_[327] + -8.81e-05 * v_[157] + 0.881 * v_[336] + 0.881 * v_[333] + -8.81e-05 * v_[315] + 0.0004405 * v_[245] - 0.1104774 * (v_[335] + v_[317]);
+ v_[245] = v_[142] * v_[255] + v_[255] * v_[142];
+ v_[233] = v_[39] * v_[233] + v_[233] * v_[39];
+ v_[317] = 3.146 * v_[326] + 0.47422804 * v_[327] + -3.146 * (v_[329] - v_[12]) + 0.47422804 * v_[330] + v_[120] * v_[318] + v_[121] * v_[335] - -0.0825825 * (v_[245] + v_[233]);
+ v_[328] = v_[146] * v_[328] + v_[294] * v_[198] - (v_[142] * v_[210] + v_[255] * v_[10]);
+ v_[294] = v_[146] * v_[294] + v_[294] * v_[146];
+ v_[210] = 3.146 * v_[331] + 0.0825825 * v_[327] + 3.146 * v_[328] + -0.0825825 * v_[330] + v_[122] * v_[318] + v_[120] * v_[335] - 0.47422804 * (v_[245] + v_[294]);
+ v_[255] = v_[73] * v_[97] + v_[97] * v_[73];
+ v_[312] = 3.44 * v_[322] + 0.5824264 * v_[323] + 3.44 * v_[324] + 0.5824264 * v_[325] + v_[116] * v_[317] + v_[117] * v_[210] - 0.1466472 * v_[255];
+ jac[346] = -1.1915559 * x_in[18] + 2.0678571 * x_in[20] + v_[24] * v_[227] + v_[16] * v_[302] + v_[50] * v_[169] + v_[58] * v_[186] + v_[52] * v_[293] + v_[54] * v_[305] + v_[105] * v_[321] + v_[113] * v_[312];
+ v_[333] = -0.1104774 * v_[311] + -8.81e-05 * v_[336] + 0.026409 * v_[157] + -8.81e-05 * v_[333] - 0.1104774 * v_[314] - 0.025713 * v_[315];
+ v_[313] = 0.0004405 * v_[311] + 8.81e-05 * v_[332] + 0.000468 * v_[310] + 0.0004405 * v_[314] + -8.81e-05 * (v_[334] - v_[313]) + -0.000227999999999999 * v_[316];
+ v_[319] = 2.1e-05 * v_[327] + 0.087136 * v_[290] + 0.007418 * v_[307] + -0.47422804 * v_[267] + 0.007418 * v_[308] + 0.000102 * (v_[245] - v_[233]) + v_[120] * v_[333] + v_[121] * v_[313] + -0.35 * v_[319] - 0.47422804 * v_[7] - 0.084376 * v_[80] - 2.1e-05 * v_[330];
+ v_[313] = 0.000102 * v_[327] + 0.007418 * v_[290] + 0.005495 * v_[307] + -0.0825825 * v_[267] + 0.002735 * v_[308] + -0.0825825 * v_[7] + 0.000102 * v_[330] + v_[131] * v_[333] + v_[120] * v_[313] - 0.007418 * v_[80] - 2.1e-05 * (v_[245] - v_[294]);
+ v_[333] = v_[94] * v_[127] + v_[127] * v_[94];
+ jac[348] = -5.1e-05 * v_[323] + -0.022734 * v_[297] + 0.1466472 * v_[194] + 0.009466 * v_[217] + 0.1466472 * (v_[184] - v_[99]) + -5.1e-05 * v_[325] + v_[117] * v_[319] + v_[115] * v_[313] + -0.08 * v_[320] - -0.022734 * v_[262] - -3.6e-05 * (v_[255] - v_[333]);
+ v_[320] = x_in[19] + x_in[19];
+ jac[342] = -0.0053433 * v_[195] + 0.473273 * x_in[20] + 0.190812 * x_in[18] + v_[8] * v_[227] + v_[29] * v_[302] + jac[357] + v_[41] * v_[169] + v_[56] * v_[186] + -1 * jac[354] + v_[74] * v_[293] + v_[81] * v_[305] + jac[351] + v_[96] * v_[321] + v_[111] * v_[312] + -1 * jac[348] - 0.012668 * (0 - v_[320]);
+ jac[358] = 0.089871 * v_[22] + 2.1e-05 * v_[260] + -0.000102 * v_[286] + 0.47422804 * v_[135] + -0.0825825 * v_[201] + 0.47422804 * (v_[230] - v_[145]) + 0.081641 * v_[301] + 2.1e-05 * v_[277] + v_[126] * v_[154] + v_[107] * v_[303] + jac[359] - 0.0825825 * v_[214] - -0.000102 * v_[222] - -0.007418 * (v_[289] - v_[273]);
+ jac[347] = 53.433 * v_[195] + -0.0053433 * x_in[20] + v_[16] * v_[227] + v_[30] * v_[302] + v_[27] * v_[169] + v_[57] * v_[186] + v_[54] * v_[293] + v_[82] * v_[305] + v_[79] * v_[321] + v_[112] * v_[312] - 2.0678571 * v_[320];
+ v_[289] = v_[264] * v_[26] + v_[16] * v_[171] - (v_[148] * v_[25] + v_[24] * v_[190]);
+ v_[275] = 0.144171 * v_[22] + -3.6e-05 * v_[261] + 0.5824264 * v_[241] + 0.5824264 * v_[275] + -3.6e-05 * v_[279] + -0.022734 * (0 - v_[144]) + v_[109] * v_[158] + v_[32] * v_[1] + jac[358] - 0.1466472 * v_[289] - -0.123672 * v_[196] - -5.1e-05 * v_[292];
+ v_[206] = -3.6e-05 * v_[22] + 0.134705 * v_[261] + -0.5824264 * v_[298] + -0.133138 * v_[279] + 0.5824264 * (v_[232] - v_[156]) + -0.022734 * v_[292] + v_[47] * v_[240] + v_[34] * v_[206] - -3.6e-05 * v_[196] - -5.1e-05 * (0 - v_[75]);
+ jac[355] = 0.089871 * v_[248] + 2.1e-05 * v_[173] + -0.000102 * v_[55] + 0.47422804 * v_[288] + -0.0825825 * v_[282] + 0.47422804 * (v_[271] - v_[59]) + 0.081641 * v_[284] + 2.1e-05 * v_[300] + v_[3] * v_[220] + v_[132] * v_[137] + jac[356] - 0.0825825 * v_[239] - -0.000102 * v_[228] - -0.007418 * (v_[224] - v_[299]);
+ v_[224] = v_[185] * v_[53] + v_[71] * v_[183] - (v_[244] * v_[51] + v_[42] * v_[250]);
+ v_[254] = 0.144171 * v_[249] + 3.6e-05 * v_[0] + -0.5824264 * v_[235] + -0.5824264 * v_[254] + 3.6e-05 * v_[281] + 0.022734 * (0 - v_[5]) + v_[40] * v_[13] + v_[38] * v_[187] + -1 * jac[355] - 0.1466472 * v_[224] - -0.123672 * v_[265] - -5.1e-05 * v_[193];
+ v_[150] = 3.6e-05 * v_[249] + 0.134705 * v_[0] + 0.5824264 * v_[269] + -0.133138 * v_[281] + -0.5824264 * (v_[304] - v_[162]) + 0.022734 * v_[193] + v_[70] * v_[153] + v_[62] * v_[150] - 3.6e-05 * v_[265] - -5.1e-05 * (0 - v_[159]);
+ jac[352] = 0.089871 * v_[160] + 2.1e-05 * v_[212] + 0.000102 * v_[229] + 0.47422804 * v_[246] + 0.0825825 * v_[272] + 0.47422804 * (v_[274] - v_[291]) + 0.081641 * v_[236] + 2.1e-05 * v_[296] + v_[64] * v_[263] + v_[133] * v_[287] + jac[353] - -0.0825825 * v_[207] - 0.000102 * v_[251] - 0.007418 * (v_[280] - v_[213]);
+ v_[280] = v_[223] * v_[78] + v_[54] * v_[149] - (v_[189] * v_[77] + v_[52] * v_[168]);
+ v_[285] = 0.144171 * v_[160] + 3.6e-05 * v_[19] + -0.5824264 * v_[257] + -0.5824264 * v_[285] + 3.6e-05 * v_[270] + 0.022734 * (0 - v_[306]) + v_[68] * v_[167] + v_[84] * v_[31] + jac[352] - 0.1466472 * v_[280] - -0.123672 * v_[234] - -5.1e-05 * v_[278];
+ v_[266] = 3.6e-05 * v_[160] + 0.134705 * v_[19] + 0.5824264 * v_[202] + -0.133138 * v_[270] + -0.5824264 * (v_[124] - v_[175]) + 0.022734 * v_[278] + v_[102] * v_[295] + v_[86] * v_[266] - 3.6e-05 * v_[234] - -5.1e-05 * (0 - v_[238]);
+ jac[349] = 0.089871 * v_[327] + 2.1e-05 * v_[290] + 0.000102 * v_[307] + 0.47422804 * v_[326] + 0.0825825 * v_[331] + 0.47422804 * (v_[12] - v_[329]) + 0.081641 * v_[330] + 2.1e-05 * v_[80] + v_[88] * v_[318] + v_[134] * v_[335] + jac[350] - -0.0825825 * v_[328] - 0.000102 * v_[308] - 0.007418 * (v_[294] - v_[233]);
+ v_[294] = v_[94] * v_[108] + v_[127] * v_[197] - (v_[73] * v_[106] + v_[97] * v_[14]);
+ v_[324] = 0.144171 * v_[323] + -3.6e-05 * v_[297] + 0.5824264 * v_[322] + 0.5824264 * v_[324] + -3.6e-05 * v_[262] + -0.022734 * (0 - v_[333]) + v_[95] * v_[317] + v_[93] * v_[210] + -1 * jac[349] - 0.1466472 * v_[294] - -0.123672 * v_[325] - -5.1e-05 * v_[217];
+ v_[313] = -3.6e-05 * v_[323] + 0.134705 * v_[297] + -0.5824264 * v_[194] + -0.133138 * v_[262] + 0.5824264 * (v_[99] - v_[184]) + -0.022734 * v_[217] + v_[125] * v_[319] + v_[117] * v_[313] - -3.6e-05 * v_[325] - -5.1e-05 * (0 - v_[255]);
+ jac[343] = 2.0678571 * x_in[23] + -0.00571 * x_in[20] + v_[24] * v_[275] + v_[16] * v_[206] + v_[26] * v_[227] + v_[25] * v_[302] + v_[42] * v_[254] + v_[71] * v_[150] + v_[53] * v_[169] + v_[51] * v_[186] + v_[52] * v_[285] + v_[54] * v_[266] + v_[78] * v_[293] + v_[77] * v_[305] + v_[97] * v_[324] + v_[127] * v_[313] + v_[108] * v_[321] + v_[106] * v_[312] - -1.1915559 * v_[195] - 0.012668 * x_in[18];
+ v_[289] = -0.1466472 * v_[22] + 3.44 * v_[289] + 0.1466472 * v_[196] + v_[35] * v_[158] + v_[37] * v_[1] - 0.5824264 * (v_[75] + v_[144]);
+ v_[224] = -0.1466472 * v_[249] + 3.44 * v_[224] + 0.1466472 * v_[265] + v_[62] * v_[13] + v_[60] * v_[187] - -0.5824264 * (v_[159] + v_[5]);
+ v_[280] = -0.1466472 * v_[160] + 3.44 * v_[280] + 0.1466472 * v_[234] + v_[87] * v_[167] + v_[92] * v_[31] - -0.5824264 * (v_[238] + v_[306]);
+ v_[294] = -0.1466472 * v_[323] + 3.44 * v_[294] + 0.1466472 * v_[325] + v_[117] * v_[317] + v_[115] * v_[210] - 0.5824264 * (v_[255] + v_[333]);
+ jac[344] = 4.374212 * x_in[18] + v_[16] * v_[275] + v_[20] * v_[206] + 0.207 * v_[289] + v_[43] * v_[227] + v_[123] * v_[302] + v_[27] * v_[254] + v_[42] * v_[150] + 0.207 * v_[224] + v_[49] * v_[169] + v_[69] * v_[186] + v_[54] * v_[285] + v_[63] * v_[266] + 0.207 * v_[280] + v_[98] * v_[293] + v_[119] * v_[305] + v_[79] * v_[324] + v_[97] * v_[313] + 0.207 * v_[294] + v_[104] * v_[321] + v_[128] * v_[312] - -0.0053433 * x_in[23] - 0.190812 * x_in[20] - -0.00571 * v_[320];
+ jac[345] = 53.433 * x_in[23] + -0.0053433 * x_in[18] + v_[289] + -1 * v_[224] + v_[280] + -1 * v_[294] - -1.1915559 * v_[320];
+ v_[294] = v_[16] * x_in[33];
+ v_[280] = (- v_[123]) * x_in[33];
+ v_[224] = v_[264] * v_[16] + v_[20] * v_[148];
+ v_[289] = v_[264] * 0.207 + v_[20] * v_[199];
+ v_[320] = v_[172] * v_[123];
+ v_[313] = v_[16] * v_[172];
+ v_[324] = v_[34] * v_[20];
+ v_[266] = v_[47] * v_[294] + (- v_[324]) * x_in[34];
+ v_[285] = v_[47] * v_[20];
+ v_[150] = v_[34] * v_[294] + v_[285] * x_in[34];
+ v_[254] = v_[276] * v_[16] + v_[324] * v_[253];
+ v_[206] = v_[35] * 0.207 + v_[33] * v_[123] + v_[109] * v_[16];
+ v_[275] = v_[37] * 0.207 + v_[34] * v_[123] + v_[32] * v_[16];
+ v_[312] = v_[276] * v_[206] + v_[324] * v_[231] - (v_[268] * v_[275] + v_[285] * v_[11]);
+ v_[321] = v_[268] * v_[16] + v_[285] * v_[253];
+ v_[305] = v_[15] * v_[324] + v_[17] * v_[285];
+ v_[293] = v_[15] * v_[266] + v_[48] * v_[150] + (- v_[305]) * x_in[35];
+ v_[186] = v_[48] * v_[324] + v_[15] * v_[285];
+ v_[169] = v_[17] * v_[266] + v_[15] * v_[150] + v_[186] * x_in[35];
+ v_[302] = -0.35 * v_[266] + v_[280];
+ v_[227] = v_[15] * v_[206] + v_[36] * v_[275] + v_[126] * v_[16];
+ v_[333] = v_[17] * v_[206] + v_[15] * v_[275] + v_[107] * v_[16];
+ v_[255] = v_[4] * v_[227] + v_[305] * v_[138] - (v_[203] * v_[333] + v_[186] * v_[166]);
+ v_[210] = v_[4] * v_[16] + v_[305] * v_[256];
+ v_[317] = v_[203] * v_[16] + v_[186] * v_[256];
+ v_[325] = v_[203] * v_[186] + v_[186] * v_[203];
+ v_[323] = v_[4] * v_[305] + v_[305] * v_[4];
+ v_[306] = -0.1104774 * v_[293] + -0.0004405 * v_[169] + 0.881 * v_[302] + 0.881 * v_[255] + 0.1104774 * v_[210] + -0.0004405 * v_[317] - 8.81e-05 * (v_[325] + v_[323]);
+ v_[238] = -0.47422804 * v_[266] + 0.0825825 * v_[150] + 3.146 * v_[280] + 0.47422804 * v_[254] + 3.146 * v_[312] + 0.0825825 * v_[321] + v_[306];
+ v_[31] = -0.5824264 * v_[294] + 3.44 * v_[280] + 0.1466472 * v_[224] + -3.44 * (v_[289] - v_[320]) + 0.5824264 * v_[313] + v_[238];
+ v_[167] = v_[43] * x_in[33];
+ v_[234] = (- v_[20]) * x_in[33];
+ v_[199] = v_[148] * 0.207 + v_[16] * v_[199] - v_[172] * v_[43];
+ v_[160] = v_[20] * v_[172];
+ v_[5] = v_[33] * v_[167] + v_[109] * v_[234] + (- v_[275]) * x_in[34];
+ v_[159] = v_[276] * v_[43] + v_[324] * v_[118];
+ v_[275] = v_[253] * v_[275] + v_[16] * v_[11];
+ v_[187] = v_[276] * v_[285] + v_[324] * v_[268];
+ v_[13] = v_[34] * v_[167] + v_[32] * v_[234] + v_[206] * x_in[34];
+ v_[265] = v_[15] * v_[5] + v_[36] * v_[13] + v_[126] * v_[234] + (- v_[333]) * x_in[35];
+ v_[249] = -0.35 * v_[285] + v_[43];
+ v_[144] = v_[4] * v_[249] + v_[305] * v_[205];
+ v_[333] = v_[256] * v_[333] + v_[16] * v_[166];
+ v_[305] = v_[4] * v_[186] + v_[305] * v_[203];
+ v_[75] = v_[256] * v_[16] + v_[16] * v_[256];
+ v_[323] = 0.1104774 * v_[234] + -8.81e-05 * v_[169] + 0.881 * v_[265] + -0.881 * (v_[144] - v_[333]) + 0.1104774 * v_[305] + 8.81e-05 * v_[317] - -0.0004405 * (v_[75] + v_[323]);
+ v_[1] = v_[17] * v_[5] + v_[15] * v_[13] + v_[107] * v_[234] + v_[227] * x_in[35];
+ v_[249] = v_[203] * v_[249] + v_[186] * v_[205] - (v_[256] * v_[227] + v_[16] * v_[138]);
+ jac[377] = 0.1104774 * v_[265] + 0.0004405 * v_[1] + 0.026181 * v_[234] + 0.1104774 * (v_[333] - v_[144]) + 0.025941 * v_[305] - -0.0004405 * v_[249];
+ v_[75] = 0.0004405 * v_[234] + 8.81e-05 * v_[293] + 0.881 * v_[1] + 0.881 * v_[249] + 8.81e-05 * v_[210] + -0.0004405 * v_[305] - 0.1104774 * (v_[75] + v_[325]);
+ v_[305] = v_[253] * v_[16] + v_[16] * v_[253];
+ v_[324] = v_[276] * v_[324] + v_[324] * v_[276];
+ v_[325] = 3.146 * v_[5] + 0.47422804 * v_[234] + -3.146 * (v_[159] - v_[275]) + 0.47422804 * v_[187] + v_[15] * v_[323] + v_[17] * v_[75] - 0.0825825 * (v_[305] + v_[324]);
+ v_[206] = v_[268] * v_[43] + v_[285] * v_[118] - (v_[253] * v_[206] + v_[16] * v_[231]);
+ v_[285] = v_[268] * v_[285] + v_[285] * v_[268];
+ v_[227] = 3.146 * v_[13] + -0.0825825 * v_[234] + 3.146 * v_[206] + 0.0825825 * v_[187] + v_[36] * v_[323] + v_[15] * v_[75] - 0.47422804 * (v_[305] + v_[285]);
+ v_[186] = v_[148] * v_[16] + v_[16] * v_[148];
+ v_[158] = 3.44 * v_[167] + 0.5824264 * v_[234] + 3.44 * v_[199] + 0.5824264 * v_[160] + v_[33] * v_[325] + v_[34] * v_[227] - 0.1466472 * v_[186];
+ v_[249] = -0.1104774 * v_[302] + 8.81e-05 * v_[1] + 0.026409 * v_[293] + 8.81e-05 * v_[249] - 0.1104774 * v_[255] - 0.025713 * v_[210];
+ v_[333] = -0.0004405 * v_[302] + -8.81e-05 * v_[265] + 0.000468 * v_[169] + -0.0004405 * v_[255] + 8.81e-05 * (v_[144] - v_[333]) + -0.000227999999999999 * v_[317];
+ v_[306] = 2.1e-05 * v_[234] + 0.087136 * v_[266] + -0.007418 * v_[150] + -0.47422804 * v_[280] + -0.007418 * v_[321] + -0.000102 * (v_[305] - v_[324]) + v_[15] * v_[249] + v_[17] * v_[333] + -0.35 * v_[306] - 0.47422804 * v_[312] - 0.084376 * v_[254] - 2.1e-05 * v_[187];
+ v_[333] = -0.000102 * v_[234] + -0.007418 * v_[266] + 0.005495 * v_[150] + 0.0825825 * v_[280] + 0.002735 * v_[321] + 0.0825825 * v_[312] + -0.000102 * v_[187] + v_[48] * v_[249] + v_[15] * v_[333] - -0.007418 * v_[254] - 2.1e-05 * (v_[305] - v_[285]);
+ v_[249] = v_[264] * v_[20] + v_[20] * v_[264];
+ jac[375] = -5.1e-05 * v_[234] + -0.022734 * v_[294] + 0.1466472 * v_[280] + 0.009466 * v_[224] + 0.1466472 * (v_[320] - v_[289]) + -5.1e-05 * v_[160] + v_[46] * v_[306] + v_[47] * v_[333] + 0.08 * v_[238] - -0.022734 * v_[313] - -3.6e-05 * (v_[186] - v_[249]);
+ v_[238] = v_[27] * x_in[30];
+ v_[305] = (- v_[69]) * x_in[30];
+ v_[312] = v_[185] * v_[27] + v_[42] * v_[244];
+ v_[144] = v_[185] * 0.207 + v_[42] * v_[252];
+ v_[265] = v_[247] * v_[69];
+ v_[317] = v_[27] * v_[247];
+ v_[255] = v_[62] * v_[42];
+ v_[302] = v_[70] * v_[238] + (- v_[255]) * x_in[31];
+ v_[169] = v_[70] * v_[42];
+ v_[1] = v_[62] * v_[238] + v_[169] * x_in[31];
+ v_[210] = -1 * v_[305];
+ v_[293] = -1 * v_[27];
+ v_[196] = v_[6] * v_[293] + v_[255] * v_[226];
+ v_[22] = v_[62] * 0.207 + v_[61] * v_[69] + v_[40] * v_[27];
+ v_[195] = v_[60] * 0.207 + v_[62] * v_[69] + v_[38] * v_[27];
+ v_[319] = v_[6] * v_[22] + v_[255] * v_[130] - (v_[181] * v_[195] + v_[169] * v_[83]);
+ v_[262] = v_[181] * v_[293] + v_[169] * v_[226];
+ v_[184] = v_[65] * v_[255] + v_[66] * v_[169];
+ v_[99] = v_[65] * v_[302] + v_[76] * v_[1] + (- v_[184]) * x_in[32];
+ v_[217] = v_[76] * v_[255] + v_[65] * v_[169];
+ v_[194] = v_[66] * v_[302] + v_[65] * v_[1] + v_[217] * x_in[32];
+ v_[297] = -0.35 * v_[302] + v_[210];
+ v_[322] = v_[182] * v_[293] + v_[184] * v_[243];
+ v_[328] = v_[65] * v_[22] + v_[67] * v_[195] + v_[3] * v_[293];
+ v_[233] = v_[66] * v_[22] + v_[65] * v_[195] + v_[132] * v_[293];
+ v_[335] = v_[182] * v_[328] + v_[184] * v_[72] - (v_[219] * v_[233] + v_[217] * v_[110]);
+ v_[318] = v_[219] * v_[293] + v_[217] * v_[243];
+ v_[331] = -0.110125 * v_[99] + -0.000881 * v_[194] + 0.881 * v_[297] + 0.110125 * v_[322] + 0.881 * v_[335] + -0.000881 * v_[318];
+ v_[330] = -0.47422804 * v_[302] + 0.0825825 * v_[1] + 3.146 * v_[210] + 0.47422804 * v_[196] + 3.146 * v_[319] + 0.0825825 * v_[262] + v_[331];
+ v_[12] = 0.5824264 * v_[238] + 3.44 * v_[305] + 0.1466472 * v_[312] + -3.44 * (v_[144] - v_[265]) + -0.5824264 * v_[317] + -1 * v_[330];
+ v_[329] = v_[49] * x_in[30];
+ v_[327] = (- v_[42]) * x_in[30];
+ v_[252] = v_[244] * 0.207 + v_[27] * v_[252] - v_[247] * v_[49];
+ v_[326] = v_[42] * v_[247];
+ v_[308] = v_[61] * v_[329] + v_[40] * v_[327] + (- v_[195]) * x_in[31];
+ v_[80] = -1 * v_[327];
+ v_[307] = -1 * v_[49];
+ v_[290] = v_[6] * v_[307] + v_[255] * v_[141];
+ v_[195] = v_[226] * v_[195] + v_[293] * v_[83];
+ v_[295] = v_[6] * v_[169] + v_[255] * v_[181];
+ v_[270] = v_[62] * v_[329] + v_[38] * v_[327] + v_[22] * x_in[31];
+ v_[175] = v_[65] * v_[308] + v_[67] * v_[270] + v_[3] * v_[80] + (- v_[233]) * x_in[32];
+ v_[124] = -0.35 * v_[169] + v_[307];
+ v_[278] = v_[182] * v_[124] + v_[184] * v_[45];
+ v_[233] = v_[243] * v_[233] + v_[293] * v_[110];
+ v_[202] = v_[182] * v_[217] + v_[184] * v_[219];
+ v_[19] = v_[243] * v_[293] + v_[293] * v_[243];
+ v_[184] = 0.881 * v_[175] + 0.110125 * v_[80] + -0.881 * (v_[278] - v_[233]) + 0.110125 * v_[202] - -0.000881 * (v_[19] + v_[182] * v_[184] + v_[184] * v_[182]);
+ v_[257] = v_[66] * v_[308] + v_[65] * v_[270] + v_[132] * v_[80] + v_[328] * x_in[32];
+ v_[124] = v_[219] * v_[124] + v_[217] * v_[45] - (v_[243] * v_[328] + v_[293] * v_[72]);
+ jac[374] = 0.110125 * v_[175] + 0.000881 * v_[257] + 0.026181 * v_[80] + 0.110125 * (v_[233] - v_[278]) + 0.025941 * v_[202] - -0.000881 * v_[124];
+ v_[124] = 0.881 * v_[257] + 0.000881 * v_[80] + 0.881 * v_[124] + -0.000881 * v_[202] - 0.110125 * (v_[19] + v_[219] * v_[217] + v_[217] * v_[219]);
+ v_[257] = v_[226] * v_[293] + v_[293] * v_[226];
+ v_[255] = v_[6] * v_[255] + v_[255] * v_[6];
+ v_[19] = 3.146 * v_[308] + 0.47422804 * v_[80] + -3.146 * (v_[290] - v_[195]) + 0.47422804 * v_[295] + v_[65] * v_[184] + v_[66] * v_[124] - 0.0825825 * (v_[257] + v_[255]);
+ v_[307] = v_[181] * v_[307] + v_[169] * v_[141] - (v_[226] * v_[22] + v_[293] * v_[130]);
+ v_[169] = v_[181] * v_[169] + v_[169] * v_[181];
+ v_[22] = 3.146 * v_[270] + -0.0825825 * v_[80] + 3.146 * v_[307] + 0.0825825 * v_[295] + v_[67] * v_[184] + v_[65] * v_[124] - 0.47422804 * (v_[257] + v_[169]);
+ v_[293] = v_[244] * v_[27] + v_[27] * v_[244];
+ v_[202] = 3.44 * v_[329] + -0.5824264 * v_[327] + 3.44 * v_[252] + -0.5824264 * v_[326] + v_[61] * v_[19] + v_[62] * v_[22] - 0.1466472 * v_[293];
+ v_[322] = -0.110125 * v_[297] + 0.026409 * v_[99] - 0.110125 * v_[335] - 0.025713 * v_[322];
+ v_[318] = -0.000881 * v_[297] + 0.000468 * v_[194] + -0.000227999999999999 * v_[318] + -0.000881 * v_[335];
+ v_[331] = 2.1e-05 * v_[80] + 0.087136 * v_[302] + -0.007418 * v_[1] + -0.47422804 * v_[210] + -0.007418 * v_[262] + -0.000102 * (v_[257] - v_[255]) + v_[65] * v_[322] + v_[66] * v_[318] + -0.35 * v_[331] - 0.47422804 * v_[319] - 0.084376 * v_[196] - 2.1e-05 * v_[295];
+ v_[318] = -0.000102 * v_[80] + -0.007418 * v_[302] + 0.005495 * v_[1] + 0.0825825 * v_[210] + 0.002735 * v_[262] + 0.0825825 * v_[319] + -0.000102 * v_[295] + v_[76] * v_[322] + v_[65] * v_[318] - -0.007418 * v_[196] - 2.1e-05 * (v_[257] - v_[169]);
+ v_[322] = v_[185] * v_[42] + v_[42] * v_[185];
+ jac[372] = -5.1e-05 * v_[327] + 0.022734 * v_[238] + 0.1466472 * v_[305] + 0.009466 * v_[312] + 0.1466472 * (v_[265] - v_[144]) + -5.1e-05 * v_[326] + v_[62] * v_[331] + v_[60] * v_[318] + -0.08 * v_[330] - 0.022734 * v_[317] - 3.6e-05 * (v_[293] - v_[322]);
+ v_[330] = v_[54] * x_in[27];
+ v_[257] = (- v_[119]) * x_in[27];
+ v_[319] = v_[223] * v_[54] + v_[63] * v_[189];
+ v_[210] = v_[223] * 0.207 + v_[63] * v_[188];
+ v_[335] = v_[225] * v_[119];
+ v_[297] = v_[54] * v_[225];
+ v_[194] = v_[86] * v_[63];
+ v_[99] = v_[102] * v_[330] + (- v_[194]) * x_in[28];
+ v_[217] = v_[102] * v_[63];
+ v_[233] = v_[86] * v_[330] + v_[217] * x_in[28];
+ v_[278] = v_[139] * v_[54] + v_[194] * v_[165];
+ v_[175] = v_[87] * 0.207 + v_[85] * v_[119] + v_[68] * v_[54];
+ v_[328] = v_[92] * 0.207 + v_[86] * v_[119] + v_[84] * v_[54];
+ v_[207] = v_[139] * v_[175] + v_[194] * v_[23] - (v_[176] * v_[328] + v_[217] * v_[215]);
+ v_[213] = v_[176] * v_[54] + v_[217] * v_[165];
+ v_[287] = v_[89] * v_[194] + v_[90] * v_[217];
+ v_[263] = v_[89] * v_[99] + v_[103] * v_[233] + (- v_[287]) * x_in[29];
+ v_[272] = v_[103] * v_[194] + v_[89] * v_[217];
+ v_[236] = v_[90] * v_[99] + v_[89] * v_[233] + v_[272] * x_in[29];
+ v_[274] = -0.35 * v_[99] + v_[257];
+ v_[291] = v_[89] * v_[175] + v_[91] * v_[328] + v_[64] * v_[54];
+ v_[246] = v_[90] * v_[175] + v_[89] * v_[328] + v_[133] * v_[54];
+ v_[251] = v_[136] * v_[291] + v_[287] * v_[209] - (v_[211] * v_[246] + v_[272] * v_[191]);
+ v_[296] = v_[136] * v_[54] + v_[287] * v_[174];
+ v_[229] = v_[211] * v_[54] + v_[272] * v_[174];
+ v_[212] = v_[211] * v_[272] + v_[272] * v_[211];
+ v_[153] = v_[136] * v_[287] + v_[287] * v_[136];
+ v_[281] = -0.1104774 * v_[263] + 0.0004405 * v_[236] + 0.881 * v_[274] + 0.881 * v_[251] + 0.1104774 * v_[296] + 0.0004405 * v_[229] - -8.81e-05 * (v_[212] + v_[153]);
+ v_[162] = -0.47422804 * v_[99] + -0.0825825 * v_[233] + 3.146 * v_[257] + 0.47422804 * v_[278] + 3.146 * v_[207] + -0.0825825 * v_[213] + v_[281];
+ v_[304] = 0.5824264 * v_[330] + 3.44 * v_[257] + 0.1466472 * v_[319] + -3.44 * (v_[210] - v_[335]) + -0.5824264 * v_[297] + v_[162];
+ v_[193] = v_[98] * x_in[27];
+ v_[269] = (- v_[63]) * x_in[27];
+ v_[188] = v_[189] * 0.207 + v_[54] * v_[188] - v_[225] * v_[98];
+ v_[0] = v_[63] * v_[225];
+ v_[235] = v_[85] * v_[193] + v_[68] * v_[269] + (- v_[328]) * x_in[28];
+ v_[239] = v_[139] * v_[98] + v_[194] * v_[2];
+ v_[328] = v_[165] * v_[328] + v_[54] * v_[215];
+ v_[299] = v_[139] * v_[217] + v_[194] * v_[176];
+ v_[137] = v_[86] * v_[193] + v_[84] * v_[269] + v_[175] * x_in[28];
+ v_[220] = v_[89] * v_[235] + v_[91] * v_[137] + v_[64] * v_[269] + (- v_[246]) * x_in[29];
+ v_[282] = -0.35 * v_[217] + v_[98];
+ v_[284] = v_[136] * v_[282] + v_[287] * v_[114];
+ v_[246] = v_[174] * v_[246] + v_[54] * v_[191];
+ v_[287] = v_[136] * v_[272] + v_[287] * v_[211];
+ v_[271] = v_[174] * v_[54] + v_[54] * v_[174];
+ v_[153] = 0.1104774 * v_[269] + 8.81e-05 * v_[236] + 0.881 * v_[220] + -0.881 * (v_[284] - v_[246]) + 0.1104774 * v_[287] + -8.81e-05 * v_[229] - 0.0004405 * (v_[271] + v_[153]);
+ v_[59] = v_[90] * v_[235] + v_[89] * v_[137] + v_[133] * v_[269] + v_[291] * x_in[29];
+ v_[282] = v_[211] * v_[282] + v_[272] * v_[114] - (v_[174] * v_[291] + v_[54] * v_[209]);
+ jac[371] = 0.1104774 * v_[220] + -0.0004405 * v_[59] + 0.026181 * v_[269] + 0.1104774 * (v_[246] - v_[284]) + 0.025941 * v_[287] - 0.0004405 * v_[282];
+ v_[271] = -0.0004405 * v_[269] + -8.81e-05 * v_[263] + 0.881 * v_[59] + 0.881 * v_[282] + -8.81e-05 * v_[296] + 0.0004405 * v_[287] - 0.1104774 * (v_[271] + v_[212]);
+ v_[287] = v_[165] * v_[54] + v_[54] * v_[165];
+ v_[194] = v_[139] * v_[194] + v_[194] * v_[139];
+ v_[212] = 3.146 * v_[235] + 0.47422804 * v_[269] + -3.146 * (v_[239] - v_[328]) + 0.47422804 * v_[299] + v_[89] * v_[153] + v_[90] * v_[271] - -0.0825825 * (v_[287] + v_[194]);
+ v_[175] = v_[176] * v_[98] + v_[217] * v_[2] - (v_[165] * v_[175] + v_[54] * v_[23]);
+ v_[217] = v_[176] * v_[217] + v_[217] * v_[176];
+ v_[291] = 3.146 * v_[137] + 0.0825825 * v_[269] + 3.146 * v_[175] + -0.0825825 * v_[299] + v_[91] * v_[153] + v_[89] * v_[271] - 0.47422804 * (v_[287] + v_[217]);
+ v_[272] = v_[189] * v_[54] + v_[54] * v_[189];
+ v_[248] = 3.44 * v_[193] + -0.5824264 * v_[269] + 3.44 * v_[188] + -0.5824264 * v_[0] + v_[85] * v_[212] + v_[86] * v_[291] - 0.1466472 * v_[272];
+ v_[282] = -0.1104774 * v_[274] + -8.81e-05 * v_[59] + 0.026409 * v_[263] + -8.81e-05 * v_[282] - 0.1104774 * v_[251] - 0.025713 * v_[296];
+ v_[246] = 0.0004405 * v_[274] + 8.81e-05 * v_[220] + 0.000468 * v_[236] + 0.0004405 * v_[251] + -8.81e-05 * (v_[284] - v_[246]) + -0.000227999999999999 * v_[229];
+ v_[281] = 2.1e-05 * v_[269] + 0.087136 * v_[99] + 0.007418 * v_[233] + -0.47422804 * v_[257] + 0.007418 * v_[213] + 0.000102 * (v_[287] - v_[194]) + v_[89] * v_[282] + v_[90] * v_[246] + -0.35 * v_[281] - 0.47422804 * v_[207] - 0.084376 * v_[278] - 2.1e-05 * v_[299];
+ v_[246] = 0.000102 * v_[269] + 0.007418 * v_[99] + 0.005495 * v_[233] + -0.0825825 * v_[257] + 0.002735 * v_[213] + -0.0825825 * v_[207] + 0.000102 * v_[299] + v_[103] * v_[282] + v_[89] * v_[246] - 0.007418 * v_[278] - 2.1e-05 * (v_[287] - v_[217]);
+ v_[282] = v_[223] * v_[63] + v_[63] * v_[223];
+ jac[369] = -5.1e-05 * v_[269] + 0.022734 * v_[330] + 0.1466472 * v_[257] + 0.009466 * v_[319] + 0.1466472 * (v_[335] - v_[210]) + -5.1e-05 * v_[0] + v_[101] * v_[281] + v_[102] * v_[246] + 0.08 * v_[162] - 0.022734 * v_[297] - 3.6e-05 * (v_[272] - v_[282]);
+ v_[162] = v_[79] * x_in[24];
+ v_[287] = (- v_[128]) * x_in[24];
+ v_[207] = v_[94] * v_[79] + v_[97] * v_[73];
+ v_[284] = v_[94] * 0.207 + v_[97] * v_[151];
+ v_[220] = v_[21] * v_[128];
+ v_[229] = v_[79] * v_[21];
+ v_[251] = v_[117] * v_[97];
+ v_[274] = v_[125] * v_[162] + (- v_[251]) * x_in[25];
+ v_[236] = v_[125] * v_[97];
+ v_[59] = v_[117] * v_[162] + v_[236] * x_in[25];
+ v_[296] = -1 * v_[287];
+ v_[263] = -1 * v_[79];
+ v_[288] = v_[39] * v_[263] + v_[251] * v_[142];
+ v_[228] = v_[117] * 0.207 + v_[116] * v_[128] + v_[95] * v_[79];
+ v_[300] = v_[115] * 0.207 + v_[117] * v_[128] + v_[93] * v_[79];
+ v_[55] = v_[39] * v_[228] + v_[251] * v_[10] - (v_[146] * v_[300] + v_[236] * v_[155]);
+ v_[173] = v_[146] * v_[263] + v_[236] * v_[142];
+ v_[240] = v_[120] * v_[251] + v_[121] * v_[236];
+ v_[279] = v_[120] * v_[274] + v_[131] * v_[59] + (- v_[240]) * x_in[26];
+ v_[156] = v_[131] * v_[251] + v_[120] * v_[236];
+ v_[232] = v_[121] * v_[274] + v_[120] * v_[59] + v_[156] * x_in[26];
+ v_[292] = -0.35 * v_[274] + v_[296];
+ v_[298] = v_[120] * v_[228] + v_[122] * v_[300] + v_[88] * v_[263];
+ v_[261] = v_[121] * v_[228] + v_[120] * v_[300] + v_[134] * v_[263];
+ v_[241] = v_[100] * v_[298] + v_[240] * v_[161] - (v_[147] * v_[261] + v_[156] * v_[152]);
+ v_[214] = v_[100] * v_[263] + v_[240] * v_[129];
+ v_[273] = v_[147] * v_[263] + v_[156] * v_[129];
+ v_[303] = v_[147] * v_[156] + v_[156] * v_[147];
+ v_[154] = v_[100] * v_[240] + v_[240] * v_[100];
+ v_[201] = -0.1104774 * v_[279] + 0.0004405 * v_[232] + 0.881 * v_[292] + 0.881 * v_[241] + 0.1104774 * v_[214] + 0.0004405 * v_[273] - -8.81e-05 * (v_[303] + v_[154]);
+ v_[301] = -0.47422804 * v_[274] + -0.0825825 * v_[59] + 3.146 * v_[296] + 0.47422804 * v_[288] + 3.146 * v_[55] + -0.0825825 * v_[173] + v_[201];
+ v_[230] = -0.5824264 * v_[162] + 3.44 * v_[287] + 0.1466472 * v_[207] + -3.44 * (v_[284] - v_[220]) + 0.5824264 * v_[229] + -1 * v_[301];
+ v_[145] = v_[104] * x_in[24];
+ v_[135] = (- v_[97]) * x_in[24];
+ v_[151] = v_[73] * 0.207 + v_[79] * v_[151] - v_[21] * v_[104];
+ v_[222] = v_[97] * v_[21];
+ v_[277] = v_[116] * v_[145] + v_[95] * v_[135] + (- v_[300]) * x_in[25];
+ v_[286] = -1 * v_[135];
+ v_[260] = -1 * v_[104];
+ v_[245] = v_[39] * v_[260] + v_[251] * v_[198];
+ v_[300] = v_[142] * v_[300] + v_[263] * v_[155];
+ v_[7] = v_[39] * v_[236] + v_[251] * v_[146];
+ v_[267] = v_[117] * v_[145] + v_[93] * v_[135] + v_[228] * x_in[25];
+ v_[334] = v_[120] * v_[277] + v_[122] * v_[267] + v_[88] * v_[286] + (- v_[261]) * x_in[26];
+ v_[332] = -0.35 * v_[236] + v_[260];
+ v_[316] = v_[100] * v_[332] + v_[240] * v_[204];
+ v_[261] = v_[129] * v_[261] + v_[263] * v_[152];
+ v_[240] = v_[100] * v_[156] + v_[240] * v_[147];
+ v_[314] = v_[129] * v_[263] + v_[263] * v_[129];
+ v_[154] = 0.1104774 * v_[286] + 8.81e-05 * v_[232] + 0.881 * v_[334] + -0.881 * (v_[316] - v_[261]) + 0.1104774 * v_[240] + -8.81e-05 * v_[273] - 0.0004405 * (v_[314] + v_[154]);
+ v_[311] = v_[121] * v_[277] + v_[120] * v_[267] + v_[134] * v_[286] + v_[298] * x_in[26];
+ v_[332] = v_[147] * v_[332] + v_[156] * v_[204] - (v_[129] * v_[298] + v_[263] * v_[161]);
+ jac[368] = 0.1104774 * v_[334] + -0.0004405 * v_[311] + 0.026181 * v_[286] + 0.1104774 * (v_[261] - v_[316]) + 0.025941 * v_[240] - 0.0004405 * v_[332];
+ v_[314] = -0.0004405 * v_[286] + -8.81e-05 * v_[279] + 0.881 * v_[311] + 0.881 * v_[332] + -8.81e-05 * v_[214] + 0.0004405 * v_[240] - 0.1104774 * (v_[314] + v_[303]);
+ v_[240] = v_[142] * v_[263] + v_[263] * v_[142];
+ v_[251] = v_[39] * v_[251] + v_[251] * v_[39];
+ v_[303] = 3.146 * v_[277] + 0.47422804 * v_[286] + -3.146 * (v_[245] - v_[300]) + 0.47422804 * v_[7] + v_[120] * v_[154] + v_[121] * v_[314] - -0.0825825 * (v_[240] + v_[251]);
+ v_[260] = v_[146] * v_[260] + v_[236] * v_[198] - (v_[142] * v_[228] + v_[263] * v_[10]);
+ v_[236] = v_[146] * v_[236] + v_[236] * v_[146];
+ v_[228] = 3.146 * v_[267] + 0.0825825 * v_[286] + 3.146 * v_[260] + -0.0825825 * v_[7] + v_[122] * v_[154] + v_[120] * v_[314] - 0.47422804 * (v_[240] + v_[236]);
+ v_[263] = v_[73] * v_[79] + v_[79] * v_[73];
+ v_[298] = 3.44 * v_[145] + 0.5824264 * v_[135] + 3.44 * v_[151] + 0.5824264 * v_[222] + v_[116] * v_[303] + v_[117] * v_[228] - 0.1466472 * v_[263];
+ jac[365] = -1.1915559 * x_in[18] + -0.0053433 * x_in[19] + v_[16] * v_[31] + v_[30] * v_[158] + v_[27] * v_[12] + v_[57] * v_[202] + v_[54] * v_[304] + v_[82] * v_[248] + v_[79] * v_[230] + v_[112] * v_[298];
+ v_[332] = -0.1104774 * v_[292] + -8.81e-05 * v_[311] + 0.026409 * v_[279] + -8.81e-05 * v_[332] - 0.1104774 * v_[241] - 0.025713 * v_[214];
+ v_[261] = 0.0004405 * v_[292] + 8.81e-05 * v_[334] + 0.000468 * v_[232] + 0.0004405 * v_[241] + -8.81e-05 * (v_[316] - v_[261]) + -0.000227999999999999 * v_[273];
+ v_[201] = 2.1e-05 * v_[286] + 0.087136 * v_[274] + 0.007418 * v_[59] + -0.47422804 * v_[296] + 0.007418 * v_[173] + 0.000102 * (v_[240] - v_[251]) + v_[120] * v_[332] + v_[121] * v_[261] + -0.35 * v_[201] - 0.47422804 * v_[55] - 0.084376 * v_[288] - 2.1e-05 * v_[7];
+ v_[261] = 0.000102 * v_[286] + 0.007418 * v_[274] + 0.005495 * v_[59] + -0.0825825 * v_[296] + 0.002735 * v_[173] + -0.0825825 * v_[55] + 0.000102 * v_[7] + v_[131] * v_[332] + v_[120] * v_[261] - 0.007418 * v_[288] - 2.1e-05 * (v_[240] - v_[236]);
+ v_[332] = v_[94] * v_[97] + v_[97] * v_[94];
+ jac[366] = -5.1e-05 * v_[135] + -0.022734 * v_[162] + 0.1466472 * v_[287] + 0.009466 * v_[207] + 0.1466472 * (v_[220] - v_[284]) + -5.1e-05 * v_[222] + v_[117] * v_[201] + v_[115] * v_[261] + -0.08 * v_[301] - -0.022734 * v_[229] - -3.6e-05 * (v_[263] - v_[332]);
+ v_[301] = x_in[20] + x_in[20];
+ jac[360] = 2.0678571 * (0 - x_in[21]) + 0.473273 * x_in[19] + v_[8] * v_[31] + v_[29] * v_[158] + jac[375] + v_[41] * v_[12] + v_[56] * v_[202] + -1 * jac[372] + v_[74] * v_[304] + v_[81] * v_[248] + jac[369] + v_[96] * v_[230] + v_[111] * v_[298] + -1 * jac[366] - -0.00571 * x_in[18] - 0.012668 * v_[301];
+ jac[364] = -53.433 * (0 - x_in[21]) + 2.0678571 * x_in[19] + v_[24] * v_[31] + v_[16] * v_[158] + v_[50] * v_[12] + v_[58] * v_[202] + v_[52] * v_[304] + v_[54] * v_[248] + v_[105] * v_[230] + v_[113] * v_[298] - -0.0053433 * v_[301];
+ v_[240] = 0 - x_in[22];
+ jac[376] = 0.089871 * v_[234] + 2.1e-05 * v_[266] + -0.000102 * v_[150] + 0.47422804 * v_[5] + -0.0825825 * v_[13] + 0.47422804 * (v_[275] - v_[159]) + 0.081641 * v_[187] + 2.1e-05 * v_[254] + v_[126] * v_[323] + v_[107] * v_[75] + jac[377] - 0.0825825 * v_[206] - -0.000102 * v_[321] - -0.007418 * (v_[285] - v_[324]);
+ v_[285] = v_[264] * v_[43] + v_[20] * v_[171] - (v_[148] * v_[123] + v_[16] * v_[190]);
+ v_[199] = 0.144171 * v_[234] + -3.6e-05 * v_[294] + 0.5824264 * v_[167] + 0.5824264 * v_[199] + -3.6e-05 * v_[313] + -0.022734 * (0 - v_[249]) + v_[109] * v_[325] + v_[32] * v_[227] + jac[376] - 0.1466472 * v_[285] - -0.123672 * v_[160] - -5.1e-05 * v_[224];
+ v_[333] = -3.6e-05 * v_[234] + 0.134705 * v_[294] + -0.5824264 * v_[280] + -0.133138 * v_[313] + 0.5824264 * (v_[289] - v_[320]) + -0.022734 * v_[224] + v_[47] * v_[306] + v_[34] * v_[333] - -3.6e-05 * v_[160] - -5.1e-05 * (0 - v_[186]);
+ jac[373] = 0.089871 * v_[80] + 2.1e-05 * v_[302] + -0.000102 * v_[1] + 0.47422804 * v_[308] + -0.0825825 * v_[270] + 0.47422804 * (v_[195] - v_[290]) + 0.081641 * v_[295] + 2.1e-05 * v_[196] + v_[3] * v_[184] + v_[132] * v_[124] + jac[374] - 0.0825825 * v_[307] - -0.000102 * v_[262] - -0.007418 * (v_[169] - v_[255]);
+ v_[169] = v_[185] * v_[49] + v_[42] * v_[183] - (v_[244] * v_[69] + v_[27] * v_[250]);
+ v_[252] = 0.144171 * v_[327] + 3.6e-05 * v_[238] + -0.5824264 * v_[329] + -0.5824264 * v_[252] + 3.6e-05 * v_[317] + 0.022734 * (0 - v_[322]) + v_[40] * v_[19] + v_[38] * v_[22] + -1 * jac[373] - 0.1466472 * v_[169] - -0.123672 * v_[326] - -5.1e-05 * v_[312];
+ v_[318] = 3.6e-05 * v_[327] + 0.134705 * v_[238] + 0.5824264 * v_[305] + -0.133138 * v_[317] + -0.5824264 * (v_[144] - v_[265]) + 0.022734 * v_[312] + v_[70] * v_[331] + v_[62] * v_[318] - 3.6e-05 * v_[326] - -5.1e-05 * (0 - v_[293]);
+ jac[370] = 0.089871 * v_[269] + 2.1e-05 * v_[99] + 0.000102 * v_[233] + 0.47422804 * v_[235] + 0.0825825 * v_[137] + 0.47422804 * (v_[328] - v_[239]) + 0.081641 * v_[299] + 2.1e-05 * v_[278] + v_[64] * v_[153] + v_[133] * v_[271] + jac[371] - -0.0825825 * v_[175] - 0.000102 * v_[213] - 0.007418 * (v_[217] - v_[194]);
+ v_[217] = v_[223] * v_[98] + v_[63] * v_[149] - (v_[189] * v_[119] + v_[54] * v_[168]);
+ v_[188] = 0.144171 * v_[269] + 3.6e-05 * v_[330] + -0.5824264 * v_[193] + -0.5824264 * v_[188] + 3.6e-05 * v_[297] + 0.022734 * (0 - v_[282]) + v_[68] * v_[212] + v_[84] * v_[291] + jac[370] - 0.1466472 * v_[217] - -0.123672 * v_[0] - -5.1e-05 * v_[319];
+ v_[246] = 3.6e-05 * v_[269] + 0.134705 * v_[330] + 0.5824264 * v_[257] + -0.133138 * v_[297] + -0.5824264 * (v_[210] - v_[335]) + 0.022734 * v_[319] + v_[102] * v_[281] + v_[86] * v_[246] - 3.6e-05 * v_[0] - -5.1e-05 * (0 - v_[272]);
+ jac[367] = 0.089871 * v_[286] + 2.1e-05 * v_[274] + 0.000102 * v_[59] + 0.47422804 * v_[277] + 0.0825825 * v_[267] + 0.47422804 * (v_[300] - v_[245]) + 0.081641 * v_[7] + 2.1e-05 * v_[288] + v_[88] * v_[154] + v_[134] * v_[314] + jac[368] - -0.0825825 * v_[260] - 0.000102 * v_[173] - 0.007418 * (v_[236] - v_[251]);
+ v_[236] = v_[94] * v_[104] + v_[97] * v_[197] - (v_[73] * v_[128] + v_[79] * v_[14]);
+ v_[151] = 0.144171 * v_[135] + -3.6e-05 * v_[162] + 0.5824264 * v_[145] + 0.5824264 * v_[151] + -3.6e-05 * v_[229] + -0.022734 * (0 - v_[332]) + v_[95] * v_[303] + v_[93] * v_[228] + -1 * jac[367] - 0.1466472 * v_[236] - -0.123672 * v_[222] - -5.1e-05 * v_[207];
+ v_[261] = -3.6e-05 * v_[135] + 0.134705 * v_[162] + -0.5824264 * v_[287] + -0.133138 * v_[229] + 0.5824264 * (v_[284] - v_[220]) + -0.022734 * v_[207] + v_[125] * v_[201] + v_[117] * v_[261] - -3.6e-05 * v_[222] - -5.1e-05 * (0 - v_[263]);
+ jac[361] = 2.0678571 * v_[240] + -0.00571 * x_in[19] + 0.190812 * v_[301] + v_[24] * v_[199] + v_[16] * v_[333] + v_[26] * v_[31] + v_[25] * v_[158] + v_[42] * v_[252] + v_[71] * v_[318] + v_[53] * v_[12] + v_[51] * v_[202] + v_[52] * v_[188] + v_[54] * v_[246] + v_[78] * v_[304] + v_[77] * v_[248] + v_[97] * v_[151] + v_[127] * v_[261] + v_[108] * v_[230] + v_[106] * v_[298] - 4.847485 * x_in[18];
+ v_[285] = -0.1466472 * v_[234] + 3.44 * v_[285] + 0.1466472 * v_[160] + v_[35] * v_[325] + v_[37] * v_[227] - 0.5824264 * (v_[186] + v_[249]);
+ v_[169] = -0.1466472 * v_[327] + 3.44 * v_[169] + 0.1466472 * v_[326] + v_[62] * v_[19] + v_[60] * v_[22] - -0.5824264 * (v_[293] + v_[322]);
+ v_[217] = -0.1466472 * v_[269] + 3.44 * v_[217] + 0.1466472 * v_[0] + v_[87] * v_[212] + v_[92] * v_[291] - -0.5824264 * (v_[272] + v_[282]);
+ v_[236] = -0.1466472 * v_[135] + 3.44 * v_[236] + 0.1466472 * v_[222] + v_[117] * v_[303] + v_[115] * v_[228] - 0.5824264 * (v_[263] + v_[332]);
+ jac[362] = -1.1915559 * x_in[21] + 0.012668 * x_in[18] + v_[16] * v_[199] + v_[20] * v_[333] + 0.207 * v_[285] + v_[43] * v_[31] + v_[123] * v_[158] + v_[27] * v_[252] + v_[42] * v_[318] + 0.207 * v_[169] + v_[49] * v_[12] + v_[69] * v_[202] + v_[54] * v_[188] + v_[63] * v_[246] + 0.207 * v_[217] + v_[98] * v_[304] + v_[119] * v_[248] + v_[79] * v_[151] + v_[97] * v_[261] + 0.207 * v_[236] + v_[104] * v_[230] + v_[128] * v_[298] - -0.0053433 * v_[240] - 0.190812 * x_in[19];
+ jac[363] = 53.433 * v_[240] + 2.0678571 * x_in[18] + v_[285] + -1 * v_[169] + v_[217] + -1 * v_[236] - -1.1915559 * v_[301];
+ v_[236] = 0 - x_in[19];
+ v_[217] = v_[276] * v_[35] - v_[268] * v_[37];
+ v_[169] = v_[15] * v_[35] + v_[36] * v_[37];
+ v_[285] = v_[17] * v_[35] + v_[15] * v_[37];
+ v_[240] = v_[4] * v_[169] - v_[203] * v_[285];
+ v_[301] = 0.881 * v_[240];
+ v_[261] = 3.146 * v_[217] + v_[301];
+ v_[151] = -3.44 * v_[264] + v_[261];
+ v_[246] = (- v_[37]) * x_in[34];
+ v_[188] = v_[253] * v_[37];
+ v_[318] = v_[35] * x_in[34];
+ v_[252] = v_[15] * v_[246] + v_[36] * v_[318] + (- v_[285]) * x_in[35];
+ v_[285] = v_[256] * v_[285];
+ v_[333] = 0.881 * v_[252] + -0.881 * (0 - v_[285]);
+ v_[199] = v_[17] * v_[246] + v_[15] * v_[318] + v_[169] * x_in[35];
+ v_[169] = 0 - v_[256] * v_[169];
+ jac[395] = 0.1104774 * v_[252] + 0.0004405 * v_[199] + 0.1104774 * v_[285] - -0.0004405 * v_[169];
+ v_[298] = 0.881 * v_[199] + 0.881 * v_[169];
+ v_[230] = 3.146 * v_[246] + -3.146 * (0 - v_[188]) + v_[15] * v_[333] + v_[17] * v_[298];
+ v_[248] = 0 - v_[253] * v_[35];
+ v_[304] = 3.146 * v_[318] + 3.146 * v_[248] + v_[36] * v_[333] + v_[15] * v_[298];
+ v_[202] = 3.44 * v_[148] + v_[33] * v_[230] + v_[34] * v_[304];
+ v_[169] = 8.81e-05 * v_[199] + 8.81e-05 * v_[169] - 0.1104774 * v_[240];
+ v_[285] = -8.81e-05 * v_[252] + -0.0004405 * v_[240] + 8.81e-05 * (0 - v_[285]);
+ v_[301] = v_[15] * v_[169] + v_[17] * v_[285] + -0.35 * v_[301] - 0.47422804 * v_[217];
+ v_[285] = 0.0825825 * v_[217] + v_[48] * v_[169] + v_[15] * v_[285];
+ jac[393] = 0.1466472 * (0 - v_[264]) + v_[46] * v_[301] + v_[47] * v_[285] + 0.08 * v_[261];
+ v_[261] = v_[185] * -1;
+ v_[169] = v_[62] * -1;
+ v_[217] = v_[60] * -1;
+ v_[252] = v_[6] * v_[169] - v_[181] * v_[217];
+ v_[240] = v_[65] * v_[169] + v_[67] * v_[217];
+ v_[199] = v_[66] * v_[169] + v_[65] * v_[217];
+ v_[12] = v_[182] * v_[240] - v_[219] * v_[199];
+ v_[158] = 0.881 * v_[12];
+ v_[31] = 3.146 * v_[252] + v_[158];
+ v_[332] = -3.44 * v_[261] + -1 * v_[31];
+ v_[263] = v_[244] * -1;
+ v_[228] = (- v_[217]) * x_in[31];
+ v_[217] = v_[226] * v_[217];
+ v_[303] = v_[169] * x_in[31];
+ v_[222] = v_[65] * v_[228] + v_[67] * v_[303] + (- v_[199]) * x_in[32];
+ v_[199] = v_[243] * v_[199];
+ v_[135] = 0.881 * v_[222] + -0.881 * (0 - v_[199]);
+ v_[282] = v_[66] * v_[228] + v_[65] * v_[303] + v_[240] * x_in[32];
+ v_[240] = 0 - v_[243] * v_[240];
+ jac[392] = 0.110125 * v_[222] + 0.000881 * v_[282] + 0.110125 * v_[199] - -0.000881 * v_[240];
+ v_[240] = 0.881 * v_[282] + 0.881 * v_[240];
+ v_[282] = 3.146 * v_[228] + -3.146 * (0 - v_[217]) + v_[65] * v_[135] + v_[66] * v_[240];
+ v_[169] = 0 - v_[226] * v_[169];
+ v_[199] = 3.146 * v_[303] + 3.146 * v_[169] + v_[67] * v_[135] + v_[65] * v_[240];
+ v_[222] = 3.44 * v_[263] + v_[61] * v_[282] + v_[62] * v_[199];
+ v_[272] = 0 - 0.110125 * v_[12];
+ v_[12] = -0.000881 * v_[12];
+ v_[158] = v_[65] * v_[272] + v_[66] * v_[12] + -0.35 * v_[158] - 0.47422804 * v_[252];
+ v_[12] = 0.0825825 * v_[252] + v_[76] * v_[272] + v_[65] * v_[12];
+ jac[390] = 0.1466472 * (0 - v_[261]) + v_[62] * v_[158] + v_[60] * v_[12] + -0.08 * v_[31];
+ v_[31] = v_[139] * v_[87] - v_[176] * v_[92];
+ v_[272] = v_[89] * v_[87] + v_[91] * v_[92];
+ v_[252] = v_[90] * v_[87] + v_[89] * v_[92];
+ v_[291] = v_[136] * v_[272] - v_[211] * v_[252];
+ v_[212] = 0.881 * v_[291];
+ v_[0] = 3.146 * v_[31] + v_[212];
+ v_[269] = -3.44 * v_[223] + v_[0];
+ v_[322] = (- v_[92]) * x_in[28];
+ v_[293] = v_[165] * v_[92];
+ v_[22] = v_[87] * x_in[28];
+ v_[19] = v_[89] * v_[322] + v_[91] * v_[22] + (- v_[252]) * x_in[29];
+ v_[252] = v_[174] * v_[252];
+ v_[326] = 0.881 * v_[19] + -0.881 * (0 - v_[252]);
+ v_[327] = v_[90] * v_[322] + v_[89] * v_[22] + v_[272] * x_in[29];
+ v_[272] = 0 - v_[174] * v_[272];
+ jac[389] = 0.1104774 * v_[19] + -0.0004405 * v_[327] + 0.1104774 * v_[252] - 0.0004405 * v_[272];
+ v_[249] = 0.881 * v_[327] + 0.881 * v_[272];
+ v_[186] = 3.146 * v_[322] + -3.146 * (0 - v_[293]) + v_[89] * v_[326] + v_[90] * v_[249];
+ v_[227] = 0 - v_[165] * v_[87];
+ v_[325] = 3.146 * v_[22] + 3.146 * v_[227] + v_[91] * v_[326] + v_[89] * v_[249];
+ v_[160] = 3.44 * v_[189] + v_[85] * v_[186] + v_[86] * v_[325];
+ v_[272] = -8.81e-05 * v_[327] + -8.81e-05 * v_[272] - 0.1104774 * v_[291];
+ v_[252] = 8.81e-05 * v_[19] + 0.0004405 * v_[291] + -8.81e-05 * (0 - v_[252]);
+ v_[212] = v_[89] * v_[272] + v_[90] * v_[252] + -0.35 * v_[212] - 0.47422804 * v_[31];
+ v_[252] = -0.0825825 * v_[31] + v_[103] * v_[272] + v_[89] * v_[252];
+ jac[387] = 0.1466472 * (0 - v_[223]) + v_[101] * v_[212] + v_[102] * v_[252] + 0.08 * v_[0];
+ v_[0] = v_[94] * -1;
+ v_[272] = v_[117] * -1;
+ v_[31] = v_[115] * -1;
+ v_[19] = v_[39] * v_[272] - v_[146] * v_[31];
+ v_[291] = v_[120] * v_[272] + v_[122] * v_[31];
+ v_[327] = v_[121] * v_[272] + v_[120] * v_[31];
+ v_[234] = v_[100] * v_[291] - v_[147] * v_[327];
+ v_[201] = 0.881 * v_[234];
+ v_[229] = 3.146 * v_[19] + v_[201];
+ v_[220] = -3.44 * v_[0] + -1 * v_[229];
+ v_[284] = v_[73] * -1;
+ v_[207] = (- v_[31]) * x_in[25];
+ v_[31] = v_[142] * v_[31];
+ v_[287] = v_[272] * x_in[25];
+ v_[162] = v_[120] * v_[207] + v_[122] * v_[287] + (- v_[327]) * x_in[26];
+ v_[327] = v_[129] * v_[327];
+ v_[145] = 0.881 * v_[162] + -0.881 * (0 - v_[327]);
+ v_[260] = v_[121] * v_[207] + v_[120] * v_[287] + v_[291] * x_in[26];
+ v_[291] = 0 - v_[129] * v_[291];
+ jac[386] = 0.1104774 * v_[162] + -0.0004405 * v_[260] + 0.1104774 * v_[327] - 0.0004405 * v_[291];
+ v_[251] = 0.881 * v_[260] + 0.881 * v_[291];
+ v_[314] = 3.146 * v_[207] + -3.146 * (0 - v_[31]) + v_[120] * v_[145] + v_[121] * v_[251];
+ v_[272] = 0 - v_[142] * v_[272];
+ v_[154] = 3.146 * v_[287] + 3.146 * v_[272] + v_[122] * v_[145] + v_[120] * v_[251];
+ v_[267] = 3.44 * v_[284] + v_[116] * v_[314] + v_[117] * v_[154];
+ jac[382] = -53.433 * (0 - x_in[20]) + v_[24] * v_[151] + v_[16] * v_[202] + v_[50] * v_[332] + v_[58] * v_[222] + v_[52] * v_[269] + v_[54] * v_[160] + v_[105] * v_[220] + v_[113] * v_[267];
+ jac[383] = 53.433 * v_[236] + v_[16] * v_[151] + v_[30] * v_[202] + v_[27] * v_[332] + v_[57] * v_[222] + v_[54] * v_[269] + v_[82] * v_[160] + v_[79] * v_[220] + v_[112] * v_[267];
+ v_[291] = -8.81e-05 * v_[260] + -8.81e-05 * v_[291] - 0.1104774 * v_[234];
+ v_[327] = 8.81e-05 * v_[162] + 0.0004405 * v_[234] + -8.81e-05 * (0 - v_[327]);
+ v_[201] = v_[120] * v_[291] + v_[121] * v_[327] + -0.35 * v_[201] - 0.47422804 * v_[19];
+ v_[327] = -0.0825825 * v_[19] + v_[131] * v_[291] + v_[120] * v_[327];
+ jac[384] = 0.1466472 * (0 - v_[0]) + v_[117] * v_[201] + v_[115] * v_[327] + -0.08 * v_[229];
+ jac[378] = -0.0053433 * v_[236] + 2.0678571 * (0 - x_in[20]) + v_[8] * v_[151] + v_[29] * v_[202] + jac[393] + v_[41] * v_[332] + v_[56] * v_[222] + -1 * jac[390] + v_[74] * v_[269] + v_[81] * v_[160] + jac[387] + v_[96] * v_[220] + v_[111] * v_[267] + -1 * jac[384];
+ jac[394] = 0.47422804 * v_[246] + -0.0825825 * v_[318] + 0.47422804 * v_[188] + v_[126] * v_[333] + v_[107] * v_[298] + jac[395] - 0.0825825 * v_[248];
+ v_[248] = 0.5824264 * v_[148] + v_[109] * v_[230] + v_[32] * v_[304] + jac[394];
+ v_[285] = 0.5824264 * v_[264] + v_[47] * v_[301] + v_[34] * v_[285];
+ jac[391] = 0.47422804 * v_[228] + -0.0825825 * v_[303] + 0.47422804 * v_[217] + v_[3] * v_[135] + v_[132] * v_[240] + jac[392] - 0.0825825 * v_[169];
+ v_[263] = -0.5824264 * v_[263] + v_[40] * v_[282] + v_[38] * v_[199] + -1 * jac[391];
+ v_[12] = -0.5824264 * v_[261] + v_[70] * v_[158] + v_[62] * v_[12];
+ jac[388] = 0.47422804 * v_[322] + 0.0825825 * v_[22] + 0.47422804 * v_[293] + v_[64] * v_[326] + v_[133] * v_[249] + jac[389] - -0.0825825 * v_[227];
+ v_[227] = -0.5824264 * v_[189] + v_[68] * v_[186] + v_[84] * v_[325] + jac[388];
+ v_[252] = -0.5824264 * v_[223] + v_[102] * v_[212] + v_[86] * v_[252];
+ jac[385] = 0.47422804 * v_[207] + 0.0825825 * v_[287] + 0.47422804 * v_[31] + v_[88] * v_[145] + v_[134] * v_[251] + jac[386] - -0.0825825 * v_[272];
+ v_[284] = 0.5824264 * v_[284] + v_[95] * v_[314] + v_[93] * v_[154] + -1 * jac[385];
+ v_[327] = 0.5824264 * v_[0] + v_[125] * v_[201] + v_[117] * v_[327];
+ jac[379] = v_[24] * v_[248] + v_[16] * v_[285] + v_[26] * v_[151] + v_[25] * v_[202] + v_[42] * v_[263] + v_[71] * v_[12] + v_[53] * v_[332] + v_[51] * v_[222] + v_[52] * v_[227] + v_[54] * v_[252] + v_[78] * v_[269] + v_[77] * v_[160] + v_[97] * v_[284] + v_[127] * v_[327] + v_[108] * v_[220] + v_[106] * v_[267] - -1.1915559 * v_[236];
+ v_[304] = v_[35] * v_[230] + v_[37] * v_[304];
+ v_[199] = v_[62] * v_[282] + v_[60] * v_[199];
+ v_[325] = v_[87] * v_[186] + v_[92] * v_[325];
+ v_[154] = v_[117] * v_[314] + v_[115] * v_[154];
+ jac[380] = -1.1915559 * x_in[20] + v_[16] * v_[248] + v_[20] * v_[285] + 0.207 * v_[304] + v_[43] * v_[151] + v_[123] * v_[202] + v_[27] * v_[263] + v_[42] * v_[12] + 0.207 * v_[199] + v_[49] * v_[332] + v_[69] * v_[222] + v_[54] * v_[227] + v_[63] * v_[252] + 0.207 * v_[325] + v_[98] * v_[269] + v_[119] * v_[160] + v_[79] * v_[284] + v_[97] * v_[327] + 0.207 * v_[154] + v_[104] * v_[220] + v_[128] * v_[267];
+ jac[381] = v_[304] + -1 * v_[199] + v_[325] + -1 * v_[154];
+ v_[154] = (- v_[16]) * x_in[33];
+ v_[325] = v_[172] * v_[16];
+ v_[199] = v_[33] * v_[16];
+ v_[304] = v_[34] * v_[16];
+ v_[327] = v_[276] * v_[199] - v_[268] * v_[304];
+ v_[284] = v_[15] * v_[199] + v_[36] * v_[304];
+ v_[252] = v_[17] * v_[199] + v_[15] * v_[304];
+ v_[227] = v_[4] * v_[284] - v_[203] * v_[252];
+ v_[12] = 0.881 * v_[154] + 0.881 * v_[227];
+ v_[263] = 3.146 * v_[154] + 3.146 * v_[327] + v_[12];
+ v_[285] = 3.44 * v_[154] + -3.44 * (0 - v_[325]) + v_[263];
+ v_[248] = v_[24] * x_in[33];
+ v_[267] = 0 - v_[172] * v_[24];
+ v_[220] = v_[33] * v_[248] + (- v_[304]) * x_in[34];
+ v_[160] = v_[276] * v_[24];
+ v_[304] = v_[253] * v_[304];
+ v_[269] = v_[34] * v_[248] + v_[199] * x_in[34];
+ v_[222] = v_[15] * v_[220] + v_[36] * v_[269] + (- v_[252]) * x_in[35];
+ v_[332] = v_[4] * v_[24];
+ v_[252] = v_[256] * v_[252];
+ v_[202] = 0.881 * v_[222] + -0.881 * (v_[332] - v_[252]);
+ v_[151] = v_[17] * v_[220] + v_[15] * v_[269] + v_[284] * x_in[35];
+ v_[284] = v_[203] * v_[24] - v_[256] * v_[284];
+ jac[413] = 0.1104774 * v_[222] + 0.0004405 * v_[151] + 0.1104774 * (v_[252] - v_[332]) - -0.0004405 * v_[284];
+ v_[314] = 0.881 * v_[151] + 0.881 * v_[284];
+ v_[186] = 3.146 * v_[220] + -3.146 * (v_[160] - v_[304]) + v_[15] * v_[202] + v_[17] * v_[314];
+ v_[199] = v_[268] * v_[24] - v_[253] * v_[199];
+ v_[282] = 3.146 * v_[269] + 3.146 * v_[199] + v_[36] * v_[202] + v_[15] * v_[314];
+ v_[230] = 3.44 * v_[248] + 3.44 * v_[267] + v_[33] * v_[186] + v_[34] * v_[282];
+ v_[284] = -0.1104774 * v_[154] + 8.81e-05 * v_[151] + 8.81e-05 * v_[284] - 0.1104774 * v_[227];
+ v_[252] = -0.0004405 * v_[154] + -8.81e-05 * v_[222] + -0.0004405 * v_[227] + 8.81e-05 * (v_[332] - v_[252]);
+ v_[12] = -0.47422804 * v_[154] + v_[15] * v_[284] + v_[17] * v_[252] + -0.35 * v_[12] - 0.47422804 * v_[327];
+ v_[252] = 0.0825825 * v_[154] + 0.0825825 * v_[327] + v_[48] * v_[284] + v_[15] * v_[252];
+ jac[411] = 0.1466472 * v_[154] + 0.1466472 * v_[325] + v_[46] * v_[12] + v_[47] * v_[252] + 0.08 * v_[263];
+ v_[263] = (- v_[58]) * x_in[30];
+ v_[284] = v_[247] * v_[58];
+ v_[327] = -1 * v_[263];
+ v_[332] = v_[61] * v_[58];
+ v_[222] = v_[62] * v_[58];
+ v_[227] = v_[6] * v_[332] - v_[181] * v_[222];
+ v_[151] = v_[65] * v_[332] + v_[67] * v_[222];
+ v_[236] = v_[66] * v_[332] + v_[65] * v_[222];
+ v_[201] = v_[182] * v_[151] - v_[219] * v_[236];
+ v_[0] = 0.881 * v_[327] + 0.881 * v_[201];
+ v_[272] = 3.146 * v_[327] + 3.146 * v_[227] + v_[0];
+ v_[251] = 3.44 * v_[263] + -3.44 * (0 - v_[284]) + -1 * v_[272];
+ v_[145] = v_[50] * x_in[30];
+ v_[287] = 0 - v_[247] * v_[50];
+ v_[31] = v_[61] * v_[145] + (- v_[222]) * x_in[31];
+ v_[207] = -1 * v_[50];
+ v_[212] = v_[6] * v_[207];
+ v_[222] = v_[226] * v_[222];
+ v_[249] = v_[62] * v_[145] + v_[332] * x_in[31];
+ v_[326] = v_[65] * v_[31] + v_[67] * v_[249] + (- v_[236]) * x_in[32];
+ v_[22] = v_[182] * v_[207];
+ v_[236] = v_[243] * v_[236];
+ v_[293] = 0.881 * v_[326] + -0.881 * (v_[22] - v_[236]);
+ v_[322] = v_[66] * v_[31] + v_[65] * v_[249] + v_[151] * x_in[32];
+ v_[151] = v_[219] * v_[207] - v_[243] * v_[151];
+ jac[410] = 0.110125 * v_[326] + 0.000881 * v_[322] + 0.110125 * (v_[236] - v_[22]) - -0.000881 * v_[151];
+ v_[151] = 0.881 * v_[322] + 0.881 * v_[151];
+ v_[322] = 3.146 * v_[31] + -3.146 * (v_[212] - v_[222]) + v_[65] * v_[293] + v_[66] * v_[151];
+ v_[207] = v_[181] * v_[207] - v_[226] * v_[332];
+ v_[332] = 3.146 * v_[249] + 3.146 * v_[207] + v_[67] * v_[293] + v_[65] * v_[151];
+ v_[236] = 3.44 * v_[145] + 3.44 * v_[287] + v_[61] * v_[322] + v_[62] * v_[332];
+ v_[22] = -0.110125 * v_[327] - 0.110125 * v_[201];
+ v_[201] = -0.000881 * v_[327] + -0.000881 * v_[201];
+ v_[0] = -0.47422804 * v_[327] + v_[65] * v_[22] + v_[66] * v_[201] + -0.35 * v_[0] - 0.47422804 * v_[227];
+ v_[201] = 0.0825825 * v_[327] + 0.0825825 * v_[227] + v_[76] * v_[22] + v_[65] * v_[201];
+ jac[408] = 0.1466472 * v_[263] + 0.1466472 * v_[284] + v_[62] * v_[0] + v_[60] * v_[201] + -0.08 * v_[272];
+ v_[272] = (- v_[54]) * x_in[27];
+ v_[22] = v_[225] * v_[54];
+ v_[227] = v_[85] * v_[54];
+ v_[327] = v_[86] * v_[54];
+ v_[326] = v_[139] * v_[227] - v_[176] * v_[327];
+ v_[158] = v_[89] * v_[227] + v_[91] * v_[327];
+ v_[261] = v_[90] * v_[227] + v_[89] * v_[327];
+ v_[169] = v_[136] * v_[158] - v_[211] * v_[261];
+ v_[240] = 0.881 * v_[272] + 0.881 * v_[169];
+ v_[135] = 3.146 * v_[272] + 3.146 * v_[326] + v_[240];
+ v_[303] = 3.44 * v_[272] + -3.44 * (0 - v_[22]) + v_[135];
+ v_[217] = v_[52] * x_in[27];
+ v_[228] = 0 - v_[225] * v_[52];
+ v_[301] = v_[85] * v_[217] + (- v_[327]) * x_in[28];
+ v_[298] = v_[139] * v_[52];
+ v_[327] = v_[165] * v_[327];
+ v_[333] = v_[86] * v_[217] + v_[227] * x_in[28];
+ v_[318] = v_[89] * v_[301] + v_[91] * v_[333] + (- v_[261]) * x_in[29];
+ v_[188] = v_[136] * v_[52];
+ v_[261] = v_[174] * v_[261];
+ v_[246] = 0.881 * v_[318] + -0.881 * (v_[188] - v_[261]);
+ v_[229] = v_[90] * v_[301] + v_[89] * v_[333] + v_[158] * x_in[29];
+ v_[158] = v_[211] * v_[52] - v_[174] * v_[158];
+ jac[407] = 0.1104774 * v_[318] + -0.0004405 * v_[229] + 0.1104774 * (v_[261] - v_[188]) - 0.0004405 * v_[158];
+ v_[291] = 0.881 * v_[229] + 0.881 * v_[158];
+ v_[19] = 3.146 * v_[301] + -3.146 * (v_[298] - v_[327]) + v_[89] * v_[246] + v_[90] * v_[291];
+ v_[227] = v_[176] * v_[52] - v_[165] * v_[227];
+ v_[162] = 3.146 * v_[333] + 3.146 * v_[227] + v_[91] * v_[246] + v_[89] * v_[291];
+ v_[234] = 3.44 * v_[217] + 3.44 * v_[228] + v_[85] * v_[19] + v_[86] * v_[162];
+ v_[158] = -0.1104774 * v_[272] + -8.81e-05 * v_[229] + -8.81e-05 * v_[158] - 0.1104774 * v_[169];
+ v_[261] = 0.0004405 * v_[272] + 8.81e-05 * v_[318] + 0.0004405 * v_[169] + -8.81e-05 * (v_[188] - v_[261]);
+ v_[240] = -0.47422804 * v_[272] + v_[89] * v_[158] + v_[90] * v_[261] + -0.35 * v_[240] - 0.47422804 * v_[326];
+ v_[261] = -0.0825825 * v_[272] + -0.0825825 * v_[326] + v_[103] * v_[158] + v_[89] * v_[261];
+ jac[405] = 0.1466472 * v_[272] + 0.1466472 * v_[22] + v_[101] * v_[240] + v_[102] * v_[261] + 0.08 * v_[135];
+ v_[135] = (- v_[113]) * x_in[24];
+ v_[158] = v_[21] * v_[113];
+ v_[326] = -1 * v_[135];
+ v_[188] = v_[116] * v_[113];
+ v_[318] = v_[117] * v_[113];
+ v_[169] = v_[39] * v_[188] - v_[146] * v_[318];
+ v_[229] = v_[120] * v_[188] + v_[122] * v_[318];
+ v_[260] = v_[121] * v_[188] + v_[120] * v_[318];
+ v_[7] = v_[100] * v_[229] - v_[147] * v_[260];
+ v_[300] = 0.881 * v_[326] + 0.881 * v_[7];
+ v_[245] = 3.146 * v_[326] + 3.146 * v_[169] + v_[300];
+ v_[286] = 3.44 * v_[135] + -3.44 * (0 - v_[158]) + -1 * v_[245];
+ v_[277] = v_[105] * x_in[24];
+ v_[173] = 0 - v_[21] * v_[105];
+ v_[288] = v_[116] * v_[277] + (- v_[318]) * x_in[25];
+ v_[59] = -1 * v_[105];
+ v_[274] = v_[39] * v_[59];
+ v_[318] = v_[142] * v_[318];
+ v_[281] = v_[117] * v_[277] + v_[188] * x_in[25];
+ v_[297] = v_[120] * v_[288] + v_[122] * v_[281] + (- v_[260]) * x_in[26];
+ v_[335] = v_[100] * v_[59];
+ v_[260] = v_[129] * v_[260];
+ v_[210] = 0.881 * v_[297] + -0.881 * (v_[335] - v_[260]);
+ v_[319] = v_[121] * v_[288] + v_[120] * v_[281] + v_[229] * x_in[26];
+ v_[229] = v_[147] * v_[59] - v_[129] * v_[229];
+ jac[404] = 0.1104774 * v_[297] + -0.0004405 * v_[319] + 0.1104774 * (v_[260] - v_[335]) - 0.0004405 * v_[229];
+ v_[257] = 0.881 * v_[319] + 0.881 * v_[229];
+ v_[330] = 3.146 * v_[288] + -3.146 * (v_[274] - v_[318]) + v_[120] * v_[210] + v_[121] * v_[257];
+ v_[59] = v_[146] * v_[59] - v_[142] * v_[188];
+ v_[188] = 3.146 * v_[281] + 3.146 * v_[59] + v_[122] * v_[210] + v_[120] * v_[257];
+ v_[193] = 3.44 * v_[277] + 3.44 * v_[173] + v_[116] * v_[330] + v_[117] * v_[188];
+ jac[400] = v_[24] * v_[285] + v_[16] * v_[230] + v_[50] * v_[251] + v_[58] * v_[236] + v_[52] * v_[303] + v_[54] * v_[234] + v_[105] * v_[286] + v_[113] * v_[193];
+ jac[401] = 53.433 * x_in[18] + v_[16] * v_[285] + v_[30] * v_[230] + v_[27] * v_[251] + v_[57] * v_[236] + v_[54] * v_[303] + v_[82] * v_[234] + v_[79] * v_[286] + v_[112] * v_[193];
+ v_[229] = -0.1104774 * v_[326] + -8.81e-05 * v_[319] + -8.81e-05 * v_[229] - 0.1104774 * v_[7];
+ v_[260] = 0.0004405 * v_[326] + 8.81e-05 * v_[297] + 0.0004405 * v_[7] + -8.81e-05 * (v_[335] - v_[260]);
+ v_[300] = -0.47422804 * v_[326] + v_[120] * v_[229] + v_[121] * v_[260] + -0.35 * v_[300] - 0.47422804 * v_[169];
+ v_[260] = -0.0825825 * v_[326] + -0.0825825 * v_[169] + v_[131] * v_[229] + v_[120] * v_[260];
+ jac[402] = 0.1466472 * v_[135] + 0.1466472 * v_[158] + v_[117] * v_[300] + v_[115] * v_[260] + -0.08 * v_[245];
+ jac[396] = -0.0053433 * x_in[18] + v_[8] * v_[285] + v_[29] * v_[230] + jac[411] + v_[41] * v_[251] + v_[56] * v_[236] + -1 * jac[408] + v_[74] * v_[303] + v_[81] * v_[234] + jac[405] + v_[96] * v_[286] + v_[111] * v_[193] + -1 * jac[402];
+ v_[245] = 0 - x_in[20];
+ jac[412] = 0.47422804 * v_[220] + -0.0825825 * v_[269] + 0.47422804 * (v_[304] - v_[160]) + v_[126] * v_[202] + v_[107] * v_[314] + jac[413] - 0.0825825 * v_[199];
+ v_[199] = v_[264] * v_[24] - v_[148] * v_[16];
+ v_[267] = 0.5824264 * v_[248] + 0.5824264 * v_[267] + v_[109] * v_[186] + v_[32] * v_[282] + jac[412] - 0.1466472 * v_[199];
+ v_[252] = -0.5824264 * v_[154] + 0.5824264 * (0 - v_[325]) + v_[47] * v_[12] + v_[34] * v_[252];
+ jac[409] = 0.47422804 * v_[31] + -0.0825825 * v_[249] + 0.47422804 * (v_[222] - v_[212]) + v_[3] * v_[293] + v_[132] * v_[151] + jac[410] - 0.0825825 * v_[207];
+ v_[207] = v_[185] * v_[50] - v_[244] * v_[58];
+ v_[287] = -0.5824264 * v_[145] + -0.5824264 * v_[287] + v_[40] * v_[322] + v_[38] * v_[332] + -1 * jac[409] - 0.1466472 * v_[207];
+ v_[201] = 0.5824264 * v_[263] + -0.5824264 * (0 - v_[284]) + v_[70] * v_[0] + v_[62] * v_[201];
+ jac[406] = 0.47422804 * v_[301] + 0.0825825 * v_[333] + 0.47422804 * (v_[327] - v_[298]) + v_[64] * v_[246] + v_[133] * v_[291] + jac[407] - -0.0825825 * v_[227];
+ v_[227] = v_[223] * v_[52] - v_[189] * v_[54];
+ v_[228] = -0.5824264 * v_[217] + -0.5824264 * v_[228] + v_[68] * v_[19] + v_[84] * v_[162] + jac[406] - 0.1466472 * v_[227];
+ v_[261] = 0.5824264 * v_[272] + -0.5824264 * (0 - v_[22]) + v_[102] * v_[240] + v_[86] * v_[261];
+ jac[403] = 0.47422804 * v_[288] + 0.0825825 * v_[281] + 0.47422804 * (v_[318] - v_[274]) + v_[88] * v_[210] + v_[134] * v_[257] + jac[404] - -0.0825825 * v_[59];
+ v_[59] = v_[94] * v_[105] - v_[73] * v_[113];
+ v_[173] = 0.5824264 * v_[277] + 0.5824264 * v_[173] + v_[95] * v_[330] + v_[93] * v_[188] + -1 * jac[403] - 0.1466472 * v_[59];
+ v_[260] = -0.5824264 * v_[135] + 0.5824264 * (0 - v_[158]) + v_[125] * v_[300] + v_[117] * v_[260];
+ jac[397] = 2.0678571 * v_[245] + v_[24] * v_[267] + v_[16] * v_[252] + v_[26] * v_[285] + v_[25] * v_[230] + v_[42] * v_[287] + v_[71] * v_[201] + v_[53] * v_[251] + v_[51] * v_[236] + v_[52] * v_[228] + v_[54] * v_[261] + v_[78] * v_[303] + v_[77] * v_[234] + v_[97] * v_[173] + v_[127] * v_[260] + v_[108] * v_[286] + v_[106] * v_[193] - -1.1915559 * x_in[18];
+ v_[199] = 3.44 * v_[199] + v_[35] * v_[186] + v_[37] * v_[282];
+ v_[207] = 3.44 * v_[207] + v_[62] * v_[322] + v_[60] * v_[332];
+ v_[227] = 3.44 * v_[227] + v_[87] * v_[19] + v_[92] * v_[162];
+ v_[59] = 3.44 * v_[59] + v_[117] * v_[330] + v_[115] * v_[188];
+ jac[398] = v_[16] * v_[267] + v_[20] * v_[252] + 0.207 * v_[199] + v_[43] * v_[285] + v_[123] * v_[230] + v_[27] * v_[287] + v_[42] * v_[201] + 0.207 * v_[207] + v_[49] * v_[251] + v_[69] * v_[236] + v_[54] * v_[228] + v_[63] * v_[261] + 0.207 * v_[227] + v_[98] * v_[303] + v_[119] * v_[234] + v_[79] * v_[173] + v_[97] * v_[260] + 0.207 * v_[59] + v_[104] * v_[286] + v_[128] * v_[193] - -0.0053433 * v_[245];
+ jac[399] = 53.433 * v_[245] + v_[199] + -1 * v_[207] + v_[227] + -1 * v_[59];
+ v_[59] = (- v_[30]) * x_in[33];
+ v_[227] = v_[172] * v_[30];
+ v_[207] = v_[33] * v_[30];
+ v_[199] = v_[34] * v_[30];
+ v_[245] = v_[276] * v_[207] - v_[268] * v_[199];
+ v_[260] = v_[15] * v_[207] + v_[36] * v_[199];
+ v_[173] = v_[17] * v_[207] + v_[15] * v_[199];
+ v_[261] = v_[4] * v_[260] - v_[203] * v_[173];
+ v_[228] = 0.881 * v_[59] + 0.881 * v_[261];
+ v_[201] = 3.146 * v_[59] + 3.146 * v_[245] + v_[228];
+ v_[287] = 3.44 * v_[59] + -3.44 * (0 - v_[227]) + v_[201];
+ v_[252] = v_[16] * x_in[33];
+ v_[267] = 0 - v_[172] * v_[16];
+ v_[193] = v_[33] * v_[252] + (- v_[199]) * x_in[34];
+ v_[286] = v_[276] * v_[16];
+ v_[199] = v_[253] * v_[199];
+ v_[234] = v_[34] * v_[252] + v_[207] * x_in[34];
+ v_[303] = v_[15] * v_[193] + v_[36] * v_[234] + (- v_[173]) * x_in[35];
+ v_[236] = v_[4] * v_[16];
+ v_[173] = v_[256] * v_[173];
+ v_[251] = 0.881 * v_[303] + -0.881 * (v_[236] - v_[173]);
+ v_[230] = v_[17] * v_[193] + v_[15] * v_[234] + v_[260] * x_in[35];
+ v_[260] = v_[203] * v_[16] - v_[256] * v_[260];
+ jac[431] = 0.1104774 * v_[303] + 0.0004405 * v_[230] + 0.1104774 * (v_[173] - v_[236]) - -0.0004405 * v_[260];
+ v_[285] = 0.881 * v_[230] + 0.881 * v_[260];
+ v_[188] = 3.146 * v_[193] + -3.146 * (v_[286] - v_[199]) + v_[15] * v_[251] + v_[17] * v_[285];
+ v_[207] = v_[268] * v_[16] - v_[253] * v_[207];
+ v_[330] = 3.146 * v_[234] + 3.146 * v_[207] + v_[36] * v_[251] + v_[15] * v_[285];
+ v_[162] = 3.44 * v_[252] + 3.44 * v_[267] + v_[33] * v_[188] + v_[34] * v_[330];
+ v_[260] = -0.1104774 * v_[59] + 8.81e-05 * v_[230] + 8.81e-05 * v_[260] - 0.1104774 * v_[261];
+ v_[173] = -0.0004405 * v_[59] + -8.81e-05 * v_[303] + -0.0004405 * v_[261] + 8.81e-05 * (v_[236] - v_[173]);
+ v_[228] = -0.47422804 * v_[59] + v_[15] * v_[260] + v_[17] * v_[173] + -0.35 * v_[228] - 0.47422804 * v_[245];
+ v_[173] = 0.0825825 * v_[59] + 0.0825825 * v_[245] + v_[48] * v_[260] + v_[15] * v_[173];
+ jac[429] = 0.1466472 * v_[59] + 0.1466472 * v_[227] + v_[46] * v_[228] + v_[47] * v_[173] + 0.08 * v_[201];
+ v_[201] = (- v_[57]) * x_in[30];
+ v_[260] = v_[247] * v_[57];
+ v_[245] = -1 * v_[201];
+ v_[236] = v_[61] * v_[57];
+ v_[303] = v_[62] * v_[57];
+ v_[261] = v_[6] * v_[236] - v_[181] * v_[303];
+ v_[230] = v_[65] * v_[236] + v_[67] * v_[303];
+ v_[19] = v_[66] * v_[236] + v_[65] * v_[303];
+ v_[332] = v_[182] * v_[230] - v_[219] * v_[19];
+ v_[322] = 0.881 * v_[245] + 0.881 * v_[332];
+ v_[282] = 3.146 * v_[245] + 3.146 * v_[261] + v_[322];
+ v_[186] = 3.44 * v_[201] + -3.44 * (0 - v_[260]) + -1 * v_[282];
+ v_[300] = v_[27] * x_in[30];
+ v_[158] = 0 - v_[247] * v_[27];
+ v_[135] = v_[61] * v_[300] + (- v_[303]) * x_in[31];
+ v_[277] = -1 * v_[27];
+ v_[257] = v_[6] * v_[277];
+ v_[303] = v_[226] * v_[303];
+ v_[210] = v_[62] * v_[300] + v_[236] * x_in[31];
+ v_[281] = v_[65] * v_[135] + v_[67] * v_[210] + (- v_[19]) * x_in[32];
+ v_[318] = v_[182] * v_[277];
+ v_[19] = v_[243] * v_[19];
+ v_[274] = 0.881 * v_[281] + -0.881 * (v_[318] - v_[19]);
+ v_[288] = v_[66] * v_[135] + v_[65] * v_[210] + v_[230] * x_in[32];
+ v_[230] = v_[219] * v_[277] - v_[243] * v_[230];
+ jac[428] = 0.110125 * v_[281] + 0.000881 * v_[288] + 0.110125 * (v_[19] - v_[318]) - -0.000881 * v_[230];
+ v_[230] = 0.881 * v_[288] + 0.881 * v_[230];
+ v_[288] = 3.146 * v_[135] + -3.146 * (v_[257] - v_[303]) + v_[65] * v_[274] + v_[66] * v_[230];
+ v_[277] = v_[181] * v_[277] - v_[226] * v_[236];
+ v_[236] = 3.146 * v_[210] + 3.146 * v_[277] + v_[67] * v_[274] + v_[65] * v_[230];
+ v_[19] = 3.44 * v_[300] + 3.44 * v_[158] + v_[61] * v_[288] + v_[62] * v_[236];
+ v_[318] = -0.110125 * v_[245] - 0.110125 * v_[332];
+ v_[332] = -0.000881 * v_[245] + -0.000881 * v_[332];
+ v_[322] = -0.47422804 * v_[245] + v_[65] * v_[318] + v_[66] * v_[332] + -0.35 * v_[322] - 0.47422804 * v_[261];
+ v_[332] = 0.0825825 * v_[245] + 0.0825825 * v_[261] + v_[76] * v_[318] + v_[65] * v_[332];
+ jac[426] = 0.1466472 * v_[201] + 0.1466472 * v_[260] + v_[62] * v_[322] + v_[60] * v_[332] + -0.08 * v_[282];
+ v_[282] = (- v_[82]) * x_in[27];
+ v_[318] = v_[225] * v_[82];
+ v_[261] = v_[85] * v_[82];
+ v_[245] = v_[86] * v_[82];
+ v_[281] = v_[139] * v_[261] - v_[176] * v_[245];
+ v_[240] = v_[89] * v_[261] + v_[91] * v_[245];
+ v_[22] = v_[90] * v_[261] + v_[89] * v_[245];
+ v_[272] = v_[136] * v_[240] - v_[211] * v_[22];
+ v_[217] = 0.881 * v_[282] + 0.881 * v_[272];
+ v_[291] = 3.146 * v_[282] + 3.146 * v_[281] + v_[217];
+ v_[246] = 3.44 * v_[282] + -3.44 * (0 - v_[318]) + v_[291];
+ v_[333] = v_[54] * x_in[27];
+ v_[327] = 0 - v_[225] * v_[54];
+ v_[298] = v_[85] * v_[333] + (- v_[245]) * x_in[28];
+ v_[301] = v_[139] * v_[54];
+ v_[245] = v_[165] * v_[245];
+ v_[0] = v_[86] * v_[333] + v_[261] * x_in[28];
+ v_[284] = v_[89] * v_[298] + v_[91] * v_[0] + (- v_[22]) * x_in[29];
+ v_[263] = v_[136] * v_[54];
+ v_[22] = v_[174] * v_[22];
+ v_[145] = 0.881 * v_[284] + -0.881 * (v_[263] - v_[22]);
+ v_[151] = v_[90] * v_[298] + v_[89] * v_[0] + v_[240] * x_in[29];
+ v_[240] = v_[211] * v_[54] - v_[174] * v_[240];
+ jac[425] = 0.1104774 * v_[284] + -0.0004405 * v_[151] + 0.1104774 * (v_[22] - v_[263]) - 0.0004405 * v_[240];
+ v_[293] = 0.881 * v_[151] + 0.881 * v_[240];
+ v_[249] = 3.146 * v_[298] + -3.146 * (v_[301] - v_[245]) + v_[89] * v_[145] + v_[90] * v_[293];
+ v_[261] = v_[176] * v_[54] - v_[165] * v_[261];
+ v_[222] = 3.146 * v_[0] + 3.146 * v_[261] + v_[91] * v_[145] + v_[89] * v_[293];
+ v_[212] = 3.44 * v_[333] + 3.44 * v_[327] + v_[85] * v_[249] + v_[86] * v_[222];
+ v_[240] = -0.1104774 * v_[282] + -8.81e-05 * v_[151] + -8.81e-05 * v_[240] - 0.1104774 * v_[272];
+ v_[22] = 0.0004405 * v_[282] + 8.81e-05 * v_[284] + 0.0004405 * v_[272] + -8.81e-05 * (v_[263] - v_[22]);
+ v_[217] = -0.47422804 * v_[282] + v_[89] * v_[240] + v_[90] * v_[22] + -0.35 * v_[217] - 0.47422804 * v_[281];
+ v_[22] = -0.0825825 * v_[282] + -0.0825825 * v_[281] + v_[103] * v_[240] + v_[89] * v_[22];
+ jac[423] = 0.1466472 * v_[282] + 0.1466472 * v_[318] + v_[101] * v_[217] + v_[102] * v_[22] + 0.08 * v_[291];
+ v_[291] = (- v_[112]) * x_in[24];
+ v_[240] = v_[21] * v_[112];
+ v_[281] = -1 * v_[291];
+ v_[263] = v_[116] * v_[112];
+ v_[284] = v_[117] * v_[112];
+ v_[272] = v_[39] * v_[263] - v_[146] * v_[284];
+ v_[151] = v_[120] * v_[263] + v_[122] * v_[284];
+ v_[31] = v_[121] * v_[263] + v_[120] * v_[284];
+ v_[12] = v_[100] * v_[151] - v_[147] * v_[31];
+ v_[325] = 0.881 * v_[281] + 0.881 * v_[12];
+ v_[154] = 3.146 * v_[281] + 3.146 * v_[272] + v_[325];
+ v_[248] = 3.44 * v_[291] + -3.44 * (0 - v_[240]) + -1 * v_[154];
+ v_[314] = v_[79] * x_in[24];
+ v_[202] = 0 - v_[21] * v_[79];
+ v_[269] = v_[116] * v_[314] + (- v_[284]) * x_in[25];
+ v_[304] = -1 * v_[79];
+ v_[160] = v_[39] * v_[304];
+ v_[284] = v_[142] * v_[284];
+ v_[220] = v_[117] * v_[314] + v_[263] * x_in[25];
+ v_[229] = v_[120] * v_[269] + v_[122] * v_[220] + (- v_[31]) * x_in[26];
+ v_[169] = v_[100] * v_[304];
+ v_[31] = v_[129] * v_[31];
+ v_[326] = 0.881 * v_[229] + -0.881 * (v_[169] - v_[31]);
+ v_[335] = v_[121] * v_[269] + v_[120] * v_[220] + v_[151] * x_in[26];
+ v_[151] = v_[147] * v_[304] - v_[129] * v_[151];
+ jac[422] = 0.1104774 * v_[229] + -0.0004405 * v_[335] + 0.1104774 * (v_[31] - v_[169]) - 0.0004405 * v_[151];
+ v_[297] = 0.881 * v_[335] + 0.881 * v_[151];
+ v_[7] = 3.146 * v_[269] + -3.146 * (v_[160] - v_[284]) + v_[120] * v_[326] + v_[121] * v_[297];
+ v_[304] = v_[146] * v_[304] - v_[142] * v_[263];
+ v_[263] = 3.146 * v_[220] + 3.146 * v_[304] + v_[122] * v_[326] + v_[120] * v_[297];
+ v_[319] = 3.44 * v_[314] + 3.44 * v_[202] + v_[116] * v_[7] + v_[117] * v_[263];
+ jac[418] = -53.433 * x_in[18] + v_[24] * v_[287] + v_[16] * v_[162] + v_[50] * v_[186] + v_[58] * v_[19] + v_[52] * v_[246] + v_[54] * v_[212] + v_[105] * v_[248] + v_[113] * v_[319];
+ jac[419] = v_[16] * v_[287] + v_[30] * v_[162] + v_[27] * v_[186] + v_[57] * v_[19] + v_[54] * v_[246] + v_[82] * v_[212] + v_[79] * v_[248] + v_[112] * v_[319];
+ v_[151] = -0.1104774 * v_[281] + -8.81e-05 * v_[335] + -8.81e-05 * v_[151] - 0.1104774 * v_[12];
+ v_[31] = 0.0004405 * v_[281] + 8.81e-05 * v_[229] + 0.0004405 * v_[12] + -8.81e-05 * (v_[169] - v_[31]);
+ v_[325] = -0.47422804 * v_[281] + v_[120] * v_[151] + v_[121] * v_[31] + -0.35 * v_[325] - 0.47422804 * v_[272];
+ v_[31] = -0.0825825 * v_[281] + -0.0825825 * v_[272] + v_[131] * v_[151] + v_[120] * v_[31];
+ jac[420] = 0.1466472 * v_[291] + 0.1466472 * v_[240] + v_[117] * v_[325] + v_[115] * v_[31] + -0.08 * v_[154];
+ jac[414] = 2.0678571 * x_in[18] + v_[8] * v_[287] + v_[29] * v_[162] + jac[429] + v_[41] * v_[186] + v_[56] * v_[19] + -1 * jac[426] + v_[74] * v_[246] + v_[81] * v_[212] + jac[423] + v_[96] * v_[248] + v_[111] * v_[319] + -1 * jac[420];
+ jac[430] = 0.47422804 * v_[193] + -0.0825825 * v_[234] + 0.47422804 * (v_[199] - v_[286]) + v_[126] * v_[251] + v_[107] * v_[285] + jac[431] - 0.0825825 * v_[207];
+ v_[207] = v_[264] * v_[16] - v_[148] * v_[30];
+ v_[267] = 0.5824264 * v_[252] + 0.5824264 * v_[267] + v_[109] * v_[188] + v_[32] * v_[330] + jac[430] - 0.1466472 * v_[207];
+ v_[173] = -0.5824264 * v_[59] + 0.5824264 * (0 - v_[227]) + v_[47] * v_[228] + v_[34] * v_[173];
+ jac[427] = 0.47422804 * v_[135] + -0.0825825 * v_[210] + 0.47422804 * (v_[303] - v_[257]) + v_[3] * v_[274] + v_[132] * v_[230] + jac[428] - 0.0825825 * v_[277];
+ v_[277] = v_[185] * v_[27] - v_[244] * v_[57];
+ v_[158] = -0.5824264 * v_[300] + -0.5824264 * v_[158] + v_[40] * v_[288] + v_[38] * v_[236] + -1 * jac[427] - 0.1466472 * v_[277];
+ v_[332] = 0.5824264 * v_[201] + -0.5824264 * (0 - v_[260]) + v_[70] * v_[322] + v_[62] * v_[332];
+ jac[424] = 0.47422804 * v_[298] + 0.0825825 * v_[0] + 0.47422804 * (v_[245] - v_[301]) + v_[64] * v_[145] + v_[133] * v_[293] + jac[425] - -0.0825825 * v_[261];
+ v_[261] = v_[223] * v_[54] - v_[189] * v_[82];
+ v_[327] = -0.5824264 * v_[333] + -0.5824264 * v_[327] + v_[68] * v_[249] + v_[84] * v_[222] + jac[424] - 0.1466472 * v_[261];
+ v_[22] = 0.5824264 * v_[282] + -0.5824264 * (0 - v_[318]) + v_[102] * v_[217] + v_[86] * v_[22];
+ jac[421] = 0.47422804 * v_[269] + 0.0825825 * v_[220] + 0.47422804 * (v_[284] - v_[160]) + v_[88] * v_[326] + v_[134] * v_[297] + jac[422] - -0.0825825 * v_[304];
+ v_[304] = v_[94] * v_[79] - v_[73] * v_[112];
+ v_[202] = 0.5824264 * v_[314] + 0.5824264 * v_[202] + v_[95] * v_[7] + v_[93] * v_[263] + -1 * jac[421] - 0.1466472 * v_[304];
+ v_[31] = -0.5824264 * v_[291] + 0.5824264 * (0 - v_[240]) + v_[125] * v_[325] + v_[117] * v_[31];
+ jac[415] = 2.0678571 * x_in[19] + v_[24] * v_[267] + v_[16] * v_[173] + v_[26] * v_[287] + v_[25] * v_[162] + v_[42] * v_[158] + v_[71] * v_[332] + v_[53] * v_[186] + v_[51] * v_[19] + v_[52] * v_[327] + v_[54] * v_[22] + v_[78] * v_[246] + v_[77] * v_[212] + v_[97] * v_[202] + v_[127] * v_[31] + v_[108] * v_[248] + v_[106] * v_[319];
+ v_[207] = 3.44 * v_[207] + v_[35] * v_[188] + v_[37] * v_[330];
+ v_[277] = 3.44 * v_[277] + v_[62] * v_[288] + v_[60] * v_[236];
+ v_[261] = 3.44 * v_[261] + v_[87] * v_[249] + v_[92] * v_[222];
+ v_[304] = 3.44 * v_[304] + v_[117] * v_[7] + v_[115] * v_[263];
+ jac[416] = -1.1915559 * (0 - x_in[18]) + v_[16] * v_[267] + v_[20] * v_[173] + 0.207 * v_[207] + v_[43] * v_[287] + v_[123] * v_[162] + v_[27] * v_[158] + v_[42] * v_[332] + 0.207 * v_[277] + v_[49] * v_[186] + v_[69] * v_[19] + v_[54] * v_[327] + v_[63] * v_[22] + 0.207 * v_[261] + v_[98] * v_[246] + v_[119] * v_[212] + v_[79] * v_[202] + v_[97] * v_[31] + 0.207 * v_[304] + v_[104] * v_[248] + v_[128] * v_[319] - -0.0053433 * x_in[19];
+ jac[417] = 53.433 * x_in[19] + v_[207] + -1 * v_[277] + v_[261] + -1 * v_[304];
+ v_[304] = v_[125] * v_[73] + (- v_[115]) * x_in[25];
+ v_[261] = v_[117] * v_[73] + v_[117] * x_in[25];
+ v_[277] = -1 * v_[164];
+ v_[207] = v_[115] * v_[142];
+ v_[31] = v_[115] * v_[10] - v_[117] * v_[155];
+ v_[202] = v_[117] * v_[142];
+ v_[22] = v_[120] * v_[115] + v_[121] * v_[117];
+ v_[327] = v_[120] * v_[304] + v_[131] * v_[261] + (- v_[22]) * x_in[26];
+ v_[332] = v_[131] * v_[115] + v_[120] * v_[117];
+ v_[158] = v_[121] * v_[304] + v_[120] * v_[261] + v_[332] * x_in[26];
+ v_[173] = -0.35 * v_[304] + v_[277];
+ v_[267] = v_[22] * v_[161] - v_[332] * v_[152];
+ v_[319] = v_[22] * v_[129];
+ v_[248] = v_[332] * v_[129];
+ v_[212] = v_[147] * v_[332] + v_[332] * v_[147];
+ v_[246] = v_[100] * v_[22] + v_[22] * v_[100];
+ v_[19] = -0.1104774 * v_[327] + 0.0004405 * v_[158] + 0.881 * v_[173] + 0.881 * v_[267] + 0.1104774 * v_[319] + 0.0004405 * v_[248] - -8.81e-05 * (v_[212] + v_[246]);
+ v_[186] = -0.47422804 * v_[304] + -0.0825825 * v_[261] + 3.146 * v_[277] + 0.47422804 * v_[207] + 3.146 * v_[31] + -0.0825825 * v_[202] + v_[19];
+ v_[162] = -0.5824264 * v_[73] + 3.44 * v_[164] + -3.44 * (0 - v_[14]) + 0.5824264 * v_[73] + -1 * v_[186];
+ v_[287] = 0 - v_[197];
+ v_[263] = v_[116] * v_[197] + v_[95] * v_[208];
+ v_[7] = -1 * v_[208];
+ v_[222] = v_[39] * -0.08 + v_[115] * v_[198];
+ v_[249] = v_[39] * v_[117] + v_[115] * v_[146];
+ v_[236] = v_[117] * v_[197] + v_[93] * v_[208];
+ v_[288] = v_[120] * v_[263] + v_[122] * v_[236] + v_[88] * v_[7];
+ v_[330] = -0.35 * v_[117] - 0.08;
+ v_[188] = v_[100] * v_[330] + v_[22] * v_[204];
+ v_[22] = v_[100] * v_[332] + v_[22] * v_[147];
+ v_[246] = 0.1104774 * v_[7] + 8.81e-05 * v_[158] + 0.881 * v_[288] + -0.881 * v_[188] + 0.1104774 * v_[22] + -8.81e-05 * v_[248] - 0.0004405 * v_[246];
+ v_[325] = v_[121] * v_[263] + v_[120] * v_[236] + v_[134] * v_[7];
+ v_[330] = v_[147] * v_[330] + v_[332] * v_[204];
+ jac[440] = 0.1104774 * v_[288] + -0.0004405 * v_[325] + 0.026181 * v_[7] + 0.1104774 * (0 - v_[188]) + 0.025941 * v_[22] - 0.0004405 * v_[330];
+ v_[22] = -0.0004405 * v_[7] + -8.81e-05 * v_[327] + 0.881 * v_[325] + 0.881 * v_[330] + -8.81e-05 * v_[319] + 0.0004405 * v_[22] - 0.1104774 * v_[212];
+ v_[212] = v_[39] * v_[115] + v_[115] * v_[39];
+ v_[332] = 3.146 * v_[263] + 0.47422804 * v_[7] + -3.146 * v_[222] + 0.47422804 * v_[249] + v_[120] * v_[246] + v_[121] * v_[22] - -0.0825825 * v_[212];
+ v_[198] = v_[146] * -0.08 + v_[117] * v_[198];
+ v_[204] = v_[146] * v_[117] + v_[117] * v_[146];
+ v_[240] = 3.146 * v_[236] + 0.0825825 * v_[7] + 3.146 * v_[198] + -0.0825825 * v_[249] + v_[122] * v_[246] + v_[120] * v_[22] - 0.47422804 * v_[204];
+ v_[21] = v_[21] + v_[21];
+ v_[291] = 3.44 * v_[197] + 0.5824264 * v_[208] + 3.44 * v_[287] + 0.5824264 * v_[94] + v_[116] * v_[332] + v_[117] * v_[240] - 0.1466472 * v_[21];
+ jac[436] = v_[105] * v_[162] + v_[113] * v_[291];
+ jac[437] = v_[79] * v_[162] + v_[112] * v_[291];
+ v_[330] = -0.1104774 * v_[173] + -8.81e-05 * v_[325] + 0.026409 * v_[327] + -8.81e-05 * v_[330] - 0.1104774 * v_[267] - 0.025713 * v_[319];
+ v_[188] = 0.0004405 * v_[173] + 8.81e-05 * v_[288] + 0.000468 * v_[158] + 0.0004405 * v_[267] + -8.81e-05 * v_[188] + -0.000227999999999999 * v_[248];
+ v_[19] = 2.1e-05 * v_[7] + 0.087136 * v_[304] + 0.007418 * v_[261] + -0.47422804 * v_[277] + 0.007418 * v_[202] + 0.000102 * (0 - v_[212]) + v_[120] * v_[330] + v_[121] * v_[188] + -0.35 * v_[19] - 0.47422804 * v_[31] - 0.084376 * v_[207] - 2.1e-05 * v_[249];
+ v_[188] = 0.000102 * v_[7] + 0.007418 * v_[304] + 0.005495 * v_[261] + -0.0825825 * v_[277] + 0.002735 * v_[202] + -0.0825825 * v_[31] + 0.000102 * v_[249] + v_[131] * v_[330] + v_[120] * v_[188] - 0.007418 * v_[207] - 2.1e-05 * (0 - v_[204]);
+ jac[438] = -5.1e-05 * v_[208] + -0.022734 * v_[73] + 0.1466472 * v_[164] + 0.1466472 * v_[14] + -5.1e-05 * v_[94] + v_[117] * v_[19] + v_[115] * v_[188] + -0.08 * v_[186] - -0.022734 * v_[73];
+ jac[432] = v_[96] * v_[162] + v_[111] * v_[291] + -1 * jac[438];
+ jac[439] = 0.089871 * v_[7] + 2.1e-05 * v_[304] + 0.000102 * v_[261] + 0.47422804 * v_[263] + 0.0825825 * v_[236] + 0.47422804 * (0 - v_[222]) + 0.081641 * v_[249] + 2.1e-05 * v_[207] + v_[88] * v_[246] + v_[134] * v_[22] + jac[440] - -0.0825825 * v_[198] - 0.000102 * v_[202] - 0.007418 * (v_[204] - v_[212]);
+ v_[287] = 0.144171 * v_[208] + -3.6e-05 * v_[73] + 0.5824264 * v_[197] + 0.5824264 * v_[287] + -3.6e-05 * v_[73] + -0.022734 * v_[21] + v_[95] * v_[332] + v_[93] * v_[240] + -1 * jac[439] - -0.123672 * v_[94];
+ v_[188] = -3.6e-05 * v_[208] + 0.134705 * v_[73] + -0.5824264 * v_[164] + -0.133138 * v_[73] + 0.5824264 * (0 - v_[14]) + v_[125] * v_[19] + v_[117] * v_[188] - -3.6e-05 * v_[94] - -5.1e-05 * v_[21];
+ jac[433] = v_[97] * v_[287] + v_[127] * v_[188] + v_[108] * v_[162] + v_[106] * v_[291];
+ v_[240] = -0.1466472 * v_[208] + 0.1466472 * v_[94] + v_[117] * v_[332] + v_[115] * v_[240];
+ jac[434] = v_[79] * v_[287] + v_[97] * v_[188] + 0.207 * v_[240] + v_[104] * v_[162] + v_[128] * v_[291];
+ jac[435] = -1 * v_[240];
+ v_[240] = v_[120] * v_[170] + v_[131] * v_[146];
+ v_[188] = v_[121] * v_[170] + v_[120] * v_[146];
+ v_[287] = -0.35 * v_[170];
+ v_[291] = v_[100] * v_[88] - v_[147] * v_[134];
+ v_[162] = -0.1104774 * v_[240] + 0.0004405 * v_[188] + 0.881 * v_[287] + 0.881 * v_[291] + 0.1104774 * v_[100] + 0.0004405 * v_[147];
+ v_[332] = -0.47422804 * v_[170] + -0.0825825 * v_[146] + 0.47422804 * v_[39] + -0.0825825 * v_[146] + v_[162];
+ v_[208] = -1 * v_[332];
+ v_[94] = v_[120] * v_[18] + v_[122] * v_[10] + (- v_[134]) * x_in[26];
+ v_[19] = v_[129] * v_[134] + v_[152];
+ v_[21] = v_[129] + v_[129];
+ v_[164] = 8.81e-05 * v_[188] + 0.881 * v_[94] + -0.881 * (0 - v_[19]) + -8.81e-05 * v_[147] - 0.0004405 * v_[21];
+ v_[14] = v_[121] * v_[18] + v_[120] * v_[10] + v_[88] * x_in[26];
+ v_[73] = 0 - (v_[129] * v_[88] + v_[161]);
+ jac[458] = 0.1104774 * v_[94] + -0.0004405 * v_[14] + 0.1104774 * v_[19] - 0.0004405 * v_[73];
+ v_[21] = -8.81e-05 * v_[240] + 0.881 * v_[14] + 0.881 * v_[73] + -8.81e-05 * v_[100] - 0.1104774 * v_[21];
+ v_[142] = v_[142] + v_[142];
+ v_[197] = 3.146 * v_[18] + -3.146 * (0 - v_[155]) + v_[120] * v_[164] + v_[121] * v_[21] - -0.0825825 * v_[142];
+ v_[204] = 0 - v_[10];
+ v_[198] = 3.146 * v_[10] + 3.146 * v_[204] + v_[122] * v_[164] + v_[120] * v_[21] - 0.47422804 * v_[142];
+ v_[212] = v_[116] * v_[197] + v_[117] * v_[198];
+ jac[454] = v_[105] * v_[208] + v_[113] * v_[212];
+ jac[455] = v_[79] * v_[208] + v_[112] * v_[212];
+ v_[73] = -0.1104774 * v_[287] + -8.81e-05 * v_[14] + 0.026409 * v_[240] + -8.81e-05 * v_[73] - 0.1104774 * v_[291] - 0.025713 * v_[100];
+ v_[19] = 0.0004405 * v_[287] + 8.81e-05 * v_[94] + 0.000468 * v_[188] + 0.0004405 * v_[291] + -8.81e-05 * (0 - v_[19]) + -0.000227999999999999 * v_[147];
+ v_[162] = 0.087136 * v_[170] + 0.007418 * v_[146] + 0.007418 * v_[146] + 0.000102 * v_[142] + v_[120] * v_[73] + v_[121] * v_[19] + -0.35 * v_[162] - 0.084376 * v_[39];
+ v_[19] = 0.007418 * v_[170] + 0.005495 * v_[146] + 0.002735 * v_[146] + v_[131] * v_[73] + v_[120] * v_[19] - 0.007418 * v_[39] - 2.1e-05 * v_[142];
+ jac[456] = v_[117] * v_[162] + v_[115] * v_[19] + -0.08 * v_[332];
+ jac[450] = v_[96] * v_[208] + v_[111] * v_[212] + -1 * jac[456];
+ jac[457] = 2.1e-05 * v_[170] + 0.000102 * v_[146] + 0.47422804 * v_[18] + 0.0825825 * v_[10] + 0.47422804 * v_[155] + 2.1e-05 * v_[39] + v_[88] * v_[164] + v_[134] * v_[21] + jac[458] - -0.0825825 * v_[204] - 0.000102 * v_[146];
+ v_[204] = v_[95] * v_[197] + v_[93] * v_[198] + -1 * jac[457];
+ v_[19] = v_[125] * v_[162] + v_[117] * v_[19];
+ jac[451] = v_[97] * v_[204] + v_[127] * v_[19] + v_[108] * v_[208] + v_[106] * v_[212];
+ v_[198] = v_[117] * v_[197] + v_[115] * v_[198];
+ jac[452] = v_[79] * v_[204] + v_[97] * v_[19] + 0.207 * v_[198] + v_[104] * v_[208] + v_[128] * v_[212];
+ jac[453] = -1 * v_[198];
+ v_[198] = -0.1104774 * v_[177] + 0.0004405 * v_[147] + 0.1104774 * v_[100] + 0.0004405 * v_[147];
+ v_[19] = -1 * v_[198];
+ v_[129] = v_[129] + v_[129];
+ v_[204] = 8.81e-05 * v_[147] + 0.881 * v_[218] + -0.881 * (0 - v_[152]) + -8.81e-05 * v_[147] - 0.0004405 * v_[129];
+ v_[212] = 0 - v_[161];
+ jac[476] = 0.1104774 * v_[218] + -0.0004405 * v_[161] + 0.1104774 * v_[152] - 0.0004405 * v_[212];
+ v_[129] = -8.81e-05 * v_[177] + 0.881 * v_[161] + 0.881 * v_[212] + -8.81e-05 * v_[100] - 0.1104774 * v_[129];
+ v_[208] = v_[120] * v_[204] + v_[121] * v_[129];
+ v_[197] = v_[122] * v_[204] + v_[120] * v_[129];
+ v_[162] = v_[116] * v_[208] + v_[117] * v_[197];
+ jac[472] = v_[105] * v_[19] + v_[113] * v_[162];
+ jac[473] = v_[79] * v_[19] + v_[112] * v_[162];
+ v_[212] = -8.81e-05 * v_[161] + 0.026409 * v_[177] + -8.81e-05 * v_[212] - 0.025713 * v_[100];
+ v_[218] = 8.81e-05 * v_[218] + 0.000468 * v_[147] + -8.81e-05 * (0 - v_[152]) + -0.000227999999999999 * v_[147];
+ v_[152] = v_[120] * v_[212] + v_[121] * v_[218] + -0.35 * v_[198];
+ v_[218] = v_[131] * v_[212] + v_[120] * v_[218];
+ jac[474] = v_[117] * v_[152] + v_[115] * v_[218] + -0.08 * v_[198];
+ jac[468] = v_[96] * v_[19] + v_[111] * v_[162] + -1 * jac[474];
+ jac[475] = v_[88] * v_[204] + v_[134] * v_[129] + jac[476];
+ v_[129] = v_[95] * v_[208] + v_[93] * v_[197] + -1 * jac[475];
+ v_[218] = v_[125] * v_[152] + v_[117] * v_[218];
+ jac[469] = v_[97] * v_[129] + v_[127] * v_[218] + v_[108] * v_[19] + v_[106] * v_[162];
+ v_[197] = v_[117] * v_[208] + v_[115] * v_[197];
+ jac[470] = v_[79] * v_[129] + v_[97] * v_[218] + 0.207 * v_[197] + v_[104] * v_[19] + v_[128] * v_[162];
+ jac[471] = -1 * v_[197];
+ v_[197] = v_[102] * v_[189] + (- v_[102]) * x_in[28];
+ v_[218] = v_[86] * v_[189] + v_[101] * x_in[28];
+ v_[129] = v_[102] * v_[165];
+ v_[162] = v_[102] * v_[23] - v_[101] * v_[215];
+ v_[19] = v_[101] * v_[165];
+ v_[208] = v_[89] * v_[102] + v_[90] * v_[101];
+ v_[152] = v_[89] * v_[197] + v_[103] * v_[218] + (- v_[208]) * x_in[29];
+ v_[204] = v_[103] * v_[102] + v_[89] * v_[101];
+ v_[198] = v_[90] * v_[197] + v_[89] * v_[218] + v_[204] * x_in[29];
+ v_[212] = -0.35 * v_[197] + v_[180];
+ v_[147] = v_[208] * v_[209] - v_[204] * v_[191];
+ v_[177] = v_[208] * v_[174];
+ v_[161] = v_[204] * v_[174];
+ v_[100] = v_[211] * v_[204] + v_[204] * v_[211];
+ v_[21] = v_[136] * v_[208] + v_[208] * v_[136];
+ v_[164] = -0.1104774 * v_[152] + 0.0004405 * v_[198] + 0.881 * v_[212] + 0.881 * v_[147] + 0.1104774 * v_[177] + 0.0004405 * v_[161] - -8.81e-05 * (v_[100] + v_[21]);
+ v_[18] = -0.47422804 * v_[197] + -0.0825825 * v_[218] + 3.146 * v_[180] + 0.47422804 * v_[129] + 3.146 * v_[162] + -0.0825825 * v_[19] + v_[164];
+ v_[170] = 0.5824264 * v_[189] + 3.44 * v_[180] + -3.44 * (0 - v_[168]) + -0.5824264 * v_[189] + v_[18];
+ v_[155] = 0 - v_[149];
+ v_[146] = v_[85] * v_[149] + v_[68] * v_[9];
+ v_[10] = v_[139] * 0.08 + v_[102] * v_[2];
+ v_[39] = v_[139] * v_[101] + v_[102] * v_[176];
+ v_[332] = v_[86] * v_[149] + v_[84] * v_[9];
+ v_[73] = v_[89] * v_[146] + v_[91] * v_[332] + v_[64] * v_[9];
+ v_[142] = -0.35 * v_[101] + 0.08;
+ v_[94] = v_[136] * v_[142] + v_[208] * v_[114];
+ v_[208] = v_[136] * v_[204] + v_[208] * v_[211];
+ v_[21] = 0.1104774 * v_[9] + 8.81e-05 * v_[198] + 0.881 * v_[73] + -0.881 * v_[94] + 0.1104774 * v_[208] + -8.81e-05 * v_[161] - 0.0004405 * v_[21];
+ v_[291] = v_[90] * v_[146] + v_[89] * v_[332] + v_[133] * v_[9];
+ v_[142] = v_[211] * v_[142] + v_[204] * v_[114];
+ jac[497] = 0.1104774 * v_[73] + -0.0004405 * v_[291] + 0.026181 * v_[9] + 0.1104774 * (0 - v_[94]) + 0.025941 * v_[208] - 0.0004405 * v_[142];
+ v_[208] = -0.0004405 * v_[9] + -8.81e-05 * v_[152] + 0.881 * v_[291] + 0.881 * v_[142] + -8.81e-05 * v_[177] + 0.0004405 * v_[208] - 0.1104774 * v_[100];
+ v_[100] = v_[139] * v_[102] + v_[102] * v_[139];
+ v_[204] = 3.146 * v_[146] + 0.47422804 * v_[9] + -3.146 * v_[10] + 0.47422804 * v_[39] + v_[89] * v_[21] + v_[90] * v_[208] - -0.0825825 * v_[100];
+ v_[2] = v_[176] * 0.08 + v_[101] * v_[2];
+ v_[114] = v_[176] * v_[101] + v_[101] * v_[176];
+ v_[287] = 3.146 * v_[332] + 0.0825825 * v_[9] + 3.146 * v_[2] + -0.0825825 * v_[39] + v_[91] * v_[21] + v_[89] * v_[208] - 0.47422804 * v_[114];
+ jac[489] = -0.1466472 * v_[9] + 0.1466472 * v_[223] + v_[87] * v_[204] + v_[92] * v_[287];
+ v_[225] = v_[225] + v_[225];
+ v_[188] = 3.44 * v_[149] + -0.5824264 * v_[9] + 3.44 * v_[155] + -0.5824264 * v_[223] + v_[85] * v_[204] + v_[86] * v_[287] - 0.1466472 * v_[225];
+ jac[490] = v_[52] * v_[170] + v_[54] * v_[188];
+ jac[491] = v_[54] * v_[170] + v_[82] * v_[188];
+ v_[142] = -0.1104774 * v_[212] + -8.81e-05 * v_[291] + 0.026409 * v_[152] + -8.81e-05 * v_[142] - 0.1104774 * v_[147] - 0.025713 * v_[177];
+ v_[94] = 0.0004405 * v_[212] + 8.81e-05 * v_[73] + 0.000468 * v_[198] + 0.0004405 * v_[147] + -8.81e-05 * v_[94] + -0.000227999999999999 * v_[161];
+ v_[164] = 2.1e-05 * v_[9] + 0.087136 * v_[197] + 0.007418 * v_[218] + -0.47422804 * v_[180] + 0.007418 * v_[19] + 0.000102 * (0 - v_[100]) + v_[89] * v_[142] + v_[90] * v_[94] + -0.35 * v_[164] - 0.47422804 * v_[162] - 0.084376 * v_[129] - 2.1e-05 * v_[39];
+ v_[94] = 0.000102 * v_[9] + 0.007418 * v_[197] + 0.005495 * v_[218] + -0.0825825 * v_[180] + 0.002735 * v_[19] + -0.0825825 * v_[162] + 0.000102 * v_[39] + v_[103] * v_[142] + v_[89] * v_[94] - 0.007418 * v_[129] - 2.1e-05 * (0 - v_[114]);
+ jac[495] = -5.1e-05 * v_[9] + 0.022734 * v_[189] + 0.1466472 * v_[180] + 0.1466472 * v_[168] + -5.1e-05 * v_[223] + v_[101] * v_[164] + v_[102] * v_[94] + 0.08 * v_[18] - 0.022734 * v_[189];
+ jac[486] = v_[74] * v_[170] + v_[81] * v_[188] + jac[495];
+ jac[496] = 0.089871 * v_[9] + 2.1e-05 * v_[197] + 0.000102 * v_[218] + 0.47422804 * v_[146] + 0.0825825 * v_[332] + 0.47422804 * (0 - v_[10]) + 0.081641 * v_[39] + 2.1e-05 * v_[129] + v_[64] * v_[21] + v_[133] * v_[208] + jac[497] - -0.0825825 * v_[2] - 0.000102 * v_[19] - 0.007418 * (v_[114] - v_[100]);
+ v_[287] = 0.144171 * v_[9] + 3.6e-05 * v_[189] + -0.5824264 * v_[149] + -0.5824264 * v_[155] + 3.6e-05 * v_[189] + 0.022734 * v_[225] + v_[68] * v_[204] + v_[84] * v_[287] + jac[496] - -0.123672 * v_[223];
+ v_[94] = 3.6e-05 * v_[9] + 0.134705 * v_[189] + 0.5824264 * v_[180] + -0.133138 * v_[189] + -0.5824264 * (0 - v_[168]) + v_[102] * v_[164] + v_[86] * v_[94] - 3.6e-05 * v_[223] - -5.1e-05 * v_[225];
+ jac[487] = v_[52] * v_[287] + v_[54] * v_[94] + v_[78] * v_[170] + v_[77] * v_[188];
+ jac[488] = v_[54] * v_[287] + v_[63] * v_[94] + 0.207 * jac[489] + v_[98] * v_[170] + v_[119] * v_[188];
+ v_[94] = v_[89] * v_[44] + v_[103] * v_[176];
+ v_[287] = v_[90] * v_[44] + v_[89] * v_[176];
+ v_[188] = -0.35 * v_[44];
+ v_[170] = v_[136] * v_[64] - v_[211] * v_[133];
+ v_[164] = -0.1104774 * v_[94] + 0.0004405 * v_[287] + 0.881 * v_[188] + 0.881 * v_[170] + 0.1104774 * v_[136] + 0.0004405 * v_[211];
+ v_[225] = -0.47422804 * v_[44] + -0.0825825 * v_[176] + 0.47422804 * v_[139] + -0.0825825 * v_[176] + v_[164];
+ v_[9] = v_[89] * v_[143] + v_[91] * v_[23] + (- v_[133]) * x_in[29];
+ v_[180] = v_[174] * v_[133] + v_[191];
+ v_[168] = v_[174] + v_[174];
+ v_[189] = 8.81e-05 * v_[287] + 0.881 * v_[9] + -0.881 * (0 - v_[180]) + -8.81e-05 * v_[211] - 0.0004405 * v_[168];
+ v_[223] = v_[90] * v_[143] + v_[89] * v_[23] + v_[64] * x_in[29];
+ v_[204] = 0 - (v_[174] * v_[64] + v_[209]);
+ jac[515] = 0.1104774 * v_[9] + -0.0004405 * v_[223] + 0.1104774 * v_[180] - 0.0004405 * v_[204];
+ v_[168] = -8.81e-05 * v_[94] + 0.881 * v_[223] + 0.881 * v_[204] + -8.81e-05 * v_[136] - 0.1104774 * v_[168];
+ v_[165] = v_[165] + v_[165];
+ v_[155] = 3.146 * v_[143] + -3.146 * (0 - v_[215]) + v_[89] * v_[189] + v_[90] * v_[168] - -0.0825825 * v_[165];
+ v_[149] = 0 - v_[23];
+ v_[114] = 3.146 * v_[23] + 3.146 * v_[149] + v_[91] * v_[189] + v_[89] * v_[168] - 0.47422804 * v_[165];
+ jac[507] = v_[87] * v_[155] + v_[92] * v_[114];
+ v_[2] = v_[85] * v_[155] + v_[86] * v_[114];
+ jac[508] = v_[52] * v_[225] + v_[54] * v_[2];
+ jac[509] = v_[54] * v_[225] + v_[82] * v_[2];
+ v_[204] = -0.1104774 * v_[188] + -8.81e-05 * v_[223] + 0.026409 * v_[94] + -8.81e-05 * v_[204] - 0.1104774 * v_[170] - 0.025713 * v_[136];
+ v_[180] = 0.0004405 * v_[188] + 8.81e-05 * v_[9] + 0.000468 * v_[287] + 0.0004405 * v_[170] + -8.81e-05 * (0 - v_[180]) + -0.000227999999999999 * v_[211];
+ v_[164] = 0.087136 * v_[44] + 0.007418 * v_[176] + 0.007418 * v_[176] + 0.000102 * v_[165] + v_[89] * v_[204] + v_[90] * v_[180] + -0.35 * v_[164] - 0.084376 * v_[139];
+ v_[180] = 0.007418 * v_[44] + 0.005495 * v_[176] + 0.002735 * v_[176] + v_[103] * v_[204] + v_[89] * v_[180] - 0.007418 * v_[139] - 2.1e-05 * v_[165];
+ jac[513] = v_[101] * v_[164] + v_[102] * v_[180] + 0.08 * v_[225];
+ jac[504] = v_[74] * v_[225] + v_[81] * v_[2] + jac[513];
+ jac[514] = 2.1e-05 * v_[44] + 0.000102 * v_[176] + 0.47422804 * v_[143] + 0.0825825 * v_[23] + 0.47422804 * v_[215] + 2.1e-05 * v_[139] + v_[64] * v_[189] + v_[133] * v_[168] + jac[515] - -0.0825825 * v_[149] - 0.000102 * v_[176];
+ v_[114] = v_[68] * v_[155] + v_[84] * v_[114] + jac[514];
+ v_[180] = v_[102] * v_[164] + v_[86] * v_[180];
+ jac[505] = v_[52] * v_[114] + v_[54] * v_[180] + v_[78] * v_[225] + v_[77] * v_[2];
+ jac[506] = v_[54] * v_[114] + v_[63] * v_[180] + 0.207 * jac[507] + v_[98] * v_[225] + v_[119] * v_[2];
+ v_[180] = -0.1104774 * v_[216] + 0.0004405 * v_[211] + 0.1104774 * v_[136] + 0.0004405 * v_[211];
+ v_[174] = v_[174] + v_[174];
+ v_[114] = 8.81e-05 * v_[211] + 0.881 * v_[237] + -0.881 * (0 - v_[191]) + -8.81e-05 * v_[211] - 0.0004405 * v_[174];
+ v_[2] = 0 - v_[209];
+ jac[533] = 0.1104774 * v_[237] + -0.0004405 * v_[209] + 0.1104774 * v_[191] - 0.0004405 * v_[2];
+ v_[174] = -8.81e-05 * v_[216] + 0.881 * v_[209] + 0.881 * v_[2] + -8.81e-05 * v_[136] - 0.1104774 * v_[174];
+ v_[225] = v_[89] * v_[114] + v_[90] * v_[174];
+ v_[164] = v_[91] * v_[114] + v_[89] * v_[174];
+ jac[525] = v_[87] * v_[225] + v_[92] * v_[164];
+ v_[155] = v_[85] * v_[225] + v_[86] * v_[164];
+ jac[526] = v_[52] * v_[180] + v_[54] * v_[155];
+ jac[527] = v_[54] * v_[180] + v_[82] * v_[155];
+ v_[2] = -8.81e-05 * v_[209] + 0.026409 * v_[216] + -8.81e-05 * v_[2] - 0.025713 * v_[136];
+ v_[237] = 8.81e-05 * v_[237] + 0.000468 * v_[211] + -8.81e-05 * (0 - v_[191]) + -0.000227999999999999 * v_[211];
+ v_[191] = v_[89] * v_[2] + v_[90] * v_[237] + -0.35 * v_[180];
+ v_[237] = v_[103] * v_[2] + v_[89] * v_[237];
+ jac[531] = v_[101] * v_[191] + v_[102] * v_[237] + 0.08 * v_[180];
+ jac[522] = v_[74] * v_[180] + v_[81] * v_[155] + jac[531];
+ jac[532] = v_[64] * v_[114] + v_[133] * v_[174] + jac[533];
+ v_[164] = v_[68] * v_[225] + v_[84] * v_[164] + jac[532];
+ v_[237] = v_[102] * v_[191] + v_[86] * v_[237];
+ jac[523] = v_[52] * v_[164] + v_[54] * v_[237] + v_[78] * v_[180] + v_[77] * v_[155];
+ jac[524] = v_[54] * v_[164] + v_[63] * v_[237] + 0.207 * jac[525] + v_[98] * v_[180] + v_[119] * v_[155];
+ v_[237] = v_[70] * v_[244] + (- v_[60]) * x_in[31];
+ v_[164] = v_[62] * v_[244] + v_[62] * x_in[31];
+ v_[155] = -1 * v_[221];
+ v_[180] = v_[60] * v_[226];
+ v_[191] = v_[60] * v_[130] - v_[62] * v_[83];
+ v_[225] = v_[62] * v_[226];
+ v_[174] = v_[65] * v_[60] + v_[66] * v_[62];
+ v_[114] = v_[65] * v_[237] + v_[76] * v_[164] + (- v_[174]) * x_in[32];
+ v_[2] = v_[76] * v_[60] + v_[65] * v_[62];
+ v_[211] = v_[66] * v_[237] + v_[65] * v_[164] + v_[2] * x_in[32];
+ v_[216] = -0.35 * v_[237] + v_[155];
+ v_[209] = v_[174] * v_[243];
+ v_[136] = v_[174] * v_[72] - v_[2] * v_[110];
+ v_[149] = v_[2] * v_[243];
+ v_[168] = -0.110125 * v_[114] + -0.000881 * v_[211] + 0.881 * v_[216] + 0.110125 * v_[209] + 0.881 * v_[136] + -0.000881 * v_[149];
+ v_[189] = -0.47422804 * v_[237] + 0.0825825 * v_[164] + 3.146 * v_[155] + 0.47422804 * v_[180] + 3.146 * v_[191] + 0.0825825 * v_[225] + v_[168];
+ v_[143] = 0.5824264 * v_[244] + 3.44 * v_[221] + -3.44 * (0 - v_[250]) + -0.5824264 * v_[244] + -1 * v_[189];
+ v_[44] = 0 - v_[183];
+ v_[215] = v_[61] * v_[183] + v_[40] * v_[178];
+ v_[176] = -1 * v_[178];
+ v_[23] = v_[6] * -0.08 + v_[60] * v_[141];
+ v_[139] = v_[6] * v_[62] + v_[60] * v_[181];
+ v_[204] = v_[62] * v_[183] + v_[38] * v_[178];
+ v_[165] = v_[65] * v_[215] + v_[67] * v_[204] + v_[3] * v_[176];
+ v_[9] = -0.35 * v_[62] - 0.08;
+ v_[170] = v_[182] * v_[9] + v_[174] * v_[45];
+ v_[188] = v_[182] * v_[2] + v_[174] * v_[219];
+ v_[174] = 0.881 * v_[165] + 0.110125 * v_[176] + -0.881 * v_[170] + 0.110125 * v_[188] - -0.000881 * (v_[182] * v_[174] + v_[174] * v_[182]);
+ v_[287] = v_[66] * v_[215] + v_[65] * v_[204] + v_[132] * v_[176];
+ v_[9] = v_[219] * v_[9] + v_[2] * v_[45];
+ jac[554] = 0.110125 * v_[165] + 0.000881 * v_[287] + 0.026181 * v_[176] + 0.110125 * (0 - v_[170]) + 0.025941 * v_[188] - -0.000881 * v_[9];
+ v_[9] = 0.881 * v_[287] + 0.000881 * v_[176] + 0.881 * v_[9] + -0.000881 * v_[188] - 0.110125 * (v_[219] * v_[2] + v_[2] * v_[219]);
+ v_[287] = v_[6] * v_[60] + v_[60] * v_[6];
+ v_[188] = 3.146 * v_[215] + 0.47422804 * v_[176] + -3.146 * v_[23] + 0.47422804 * v_[139] + v_[65] * v_[174] + v_[66] * v_[9] - 0.0825825 * v_[287];
+ v_[141] = v_[181] * -0.08 + v_[62] * v_[141];
+ v_[2] = v_[181] * v_[62] + v_[62] * v_[181];
+ v_[170] = 3.146 * v_[204] + -0.0825825 * v_[176] + 3.146 * v_[141] + 0.0825825 * v_[139] + v_[67] * v_[174] + v_[65] * v_[9] - 0.47422804 * v_[2];
+ v_[247] = v_[247] + v_[247];
+ v_[165] = 3.44 * v_[183] + -0.5824264 * v_[178] + 3.44 * v_[44] + -0.5824264 * v_[185] + v_[61] * v_[188] + v_[62] * v_[170] - 0.1466472 * v_[247];
+ jac[544] = v_[50] * v_[143] + v_[58] * v_[165];
+ jac[545] = v_[27] * v_[143] + v_[57] * v_[165];
+ v_[209] = -0.110125 * v_[216] + 0.026409 * v_[114] - 0.110125 * v_[136] - 0.025713 * v_[209];
+ v_[149] = -0.000881 * v_[216] + 0.000468 * v_[211] + -0.000227999999999999 * v_[149] + -0.000881 * v_[136];
+ v_[168] = 2.1e-05 * v_[176] + 0.087136 * v_[237] + -0.007418 * v_[164] + -0.47422804 * v_[155] + -0.007418 * v_[225] + -0.000102 * (0 - v_[287]) + v_[65] * v_[209] + v_[66] * v_[149] + -0.35 * v_[168] - 0.47422804 * v_[191] - 0.084376 * v_[180] - 2.1e-05 * v_[139];
+ v_[149] = -0.000102 * v_[176] + -0.007418 * v_[237] + 0.005495 * v_[164] + 0.0825825 * v_[155] + 0.002735 * v_[225] + 0.0825825 * v_[191] + -0.000102 * v_[139] + v_[76] * v_[209] + v_[65] * v_[149] - -0.007418 * v_[180] - 2.1e-05 * (0 - v_[2]);
+ jac[552] = -5.1e-05 * v_[178] + 0.022734 * v_[244] + 0.1466472 * v_[221] + 0.1466472 * v_[250] + -5.1e-05 * v_[185] + v_[62] * v_[168] + v_[60] * v_[149] + -0.08 * v_[189] - 0.022734 * v_[244];
+ jac[540] = v_[41] * v_[143] + v_[56] * v_[165] + -1 * jac[552];
+ jac[553] = 0.089871 * v_[176] + 2.1e-05 * v_[237] + -0.000102 * v_[164] + 0.47422804 * v_[215] + -0.0825825 * v_[204] + 0.47422804 * (0 - v_[23]) + 0.081641 * v_[139] + 2.1e-05 * v_[180] + v_[3] * v_[174] + v_[132] * v_[9] + jac[554] - 0.0825825 * v_[141] - -0.000102 * v_[225] - -0.007418 * (v_[2] - v_[287]);
+ v_[44] = 0.144171 * v_[178] + 3.6e-05 * v_[244] + -0.5824264 * v_[183] + -0.5824264 * v_[44] + 3.6e-05 * v_[244] + 0.022734 * v_[247] + v_[40] * v_[188] + v_[38] * v_[170] + -1 * jac[553] - -0.123672 * v_[185];
+ v_[149] = 3.6e-05 * v_[178] + 0.134705 * v_[244] + 0.5824264 * v_[221] + -0.133138 * v_[244] + -0.5824264 * (0 - v_[250]) + v_[70] * v_[168] + v_[62] * v_[149] - 3.6e-05 * v_[185] - -5.1e-05 * v_[247];
+ jac[541] = v_[42] * v_[44] + v_[71] * v_[149] + v_[53] * v_[143] + v_[51] * v_[165];
+ v_[170] = -0.1466472 * v_[178] + 0.1466472 * v_[185] + v_[62] * v_[188] + v_[60] * v_[170];
+ jac[542] = v_[27] * v_[44] + v_[42] * v_[149] + 0.207 * v_[170] + v_[49] * v_[143] + v_[69] * v_[165];
+ jac[543] = -1 * v_[170];
+ v_[170] = v_[65] * v_[140] + v_[76] * v_[181];
+ v_[149] = v_[66] * v_[140] + v_[65] * v_[181];
+ v_[44] = -0.35 * v_[140];
+ v_[165] = v_[182] * v_[3] - v_[219] * v_[132];
+ v_[143] = -0.110125 * v_[170] + -0.000881 * v_[149] + 0.881 * v_[44] + 0.110125 * v_[182] + 0.881 * v_[165] + -0.000881 * v_[219];
+ v_[188] = -0.47422804 * v_[140] + 0.0825825 * v_[181] + 0.47422804 * v_[6] + 0.0825825 * v_[181] + v_[143];
+ v_[178] = -1 * v_[188];
+ v_[185] = v_[65] * v_[163] + v_[67] * v_[130] + (- v_[132]) * x_in[32];
+ v_[168] = v_[243] * v_[132] + v_[110];
+ v_[247] = v_[243] + v_[243];
+ v_[221] = 0.881 * v_[185] + -0.881 * (0 - v_[168]) - -0.000881 * v_[247];
+ v_[250] = v_[66] * v_[163] + v_[65] * v_[130] + v_[3] * x_in[32];
+ v_[244] = 0 - (v_[243] * v_[3] + v_[72]);
+ jac[572] = 0.110125 * v_[185] + 0.000881 * v_[250] + 0.110125 * v_[168] - -0.000881 * v_[244];
+ v_[244] = 0.881 * v_[250] + 0.881 * v_[244] - 0.110125 * v_[247];
+ v_[226] = v_[226] + v_[226];
+ v_[250] = 3.146 * v_[163] + -3.146 * (0 - v_[83]) + v_[65] * v_[221] + v_[66] * v_[244] - 0.0825825 * v_[226];
+ v_[247] = 0 - v_[130];
+ v_[168] = 3.146 * v_[130] + 3.146 * v_[247] + v_[67] * v_[221] + v_[65] * v_[244] - 0.47422804 * v_[226];
+ v_[185] = v_[61] * v_[250] + v_[62] * v_[168];
+ jac[562] = v_[50] * v_[178] + v_[58] * v_[185];
+ jac[563] = v_[27] * v_[178] + v_[57] * v_[185];
+ v_[170] = -0.110125 * v_[44] + 0.026409 * v_[170] - 0.110125 * v_[165] - 0.025713 * v_[182];
+ v_[165] = -0.000881 * v_[44] + 0.000468 * v_[149] + -0.000227999999999999 * v_[219] + -0.000881 * v_[165];
+ v_[143] = 0.087136 * v_[140] + -0.007418 * v_[181] + -0.007418 * v_[181] + -0.000102 * v_[226] + v_[65] * v_[170] + v_[66] * v_[165] + -0.35 * v_[143] - 0.084376 * v_[6];
+ v_[165] = -0.007418 * v_[140] + 0.005495 * v_[181] + 0.002735 * v_[181] + v_[76] * v_[170] + v_[65] * v_[165] - -0.007418 * v_[6] - 2.1e-05 * v_[226];
+ jac[570] = v_[62] * v_[143] + v_[60] * v_[165] + -0.08 * v_[188];
+ jac[558] = v_[41] * v_[178] + v_[56] * v_[185] + -1 * jac[570];
+ jac[571] = 2.1e-05 * v_[140] + -0.000102 * v_[181] + 0.47422804 * v_[163] + -0.0825825 * v_[130] + 0.47422804 * v_[83] + 2.1e-05 * v_[6] + v_[3] * v_[221] + v_[132] * v_[244] + jac[572] - 0.0825825 * v_[247] - -0.000102 * v_[181];
+ v_[247] = v_[40] * v_[250] + v_[38] * v_[168] + -1 * jac[571];
+ v_[165] = v_[70] * v_[143] + v_[62] * v_[165];
+ jac[559] = v_[42] * v_[247] + v_[71] * v_[165] + v_[53] * v_[178] + v_[51] * v_[185];
+ v_[168] = v_[62] * v_[250] + v_[60] * v_[168];
+ jac[560] = v_[27] * v_[247] + v_[42] * v_[165] + 0.207 * v_[168] + v_[49] * v_[178] + v_[69] * v_[185];
+ jac[561] = -1 * v_[168];
+ v_[168] = -0.110125 * v_[200] + -0.000881 * v_[219] + 0.110125 * v_[182] + -0.000881 * v_[219];
+ v_[165] = -1 * v_[168];
+ v_[243] = v_[243] + v_[243];
+ v_[247] = 0.881 * v_[258] + -0.881 * (0 - v_[110]) - -0.000881 * v_[243];
+ v_[185] = 0 - v_[72];
+ jac[590] = 0.110125 * v_[258] + 0.000881 * v_[72] + 0.110125 * v_[110] - -0.000881 * v_[185];
+ v_[185] = 0.881 * v_[72] + 0.881 * v_[185] - 0.110125 * v_[243];
+ v_[243] = v_[65] * v_[247] + v_[66] * v_[185];
+ v_[72] = v_[67] * v_[247] + v_[65] * v_[185];
+ v_[258] = v_[61] * v_[243] + v_[62] * v_[72];
+ jac[580] = v_[50] * v_[165] + v_[58] * v_[258];
+ jac[581] = v_[27] * v_[165] + v_[57] * v_[258];
+ v_[200] = 0.026409 * v_[200] - 0.025713 * v_[182];
+ v_[219] = 0.000468 * v_[219] + -0.000227999999999999 * v_[219];
+ v_[182] = v_[65] * v_[200] + v_[66] * v_[219] + -0.35 * v_[168];
+ v_[219] = v_[76] * v_[200] + v_[65] * v_[219];
+ jac[588] = v_[62] * v_[182] + v_[60] * v_[219] + -0.08 * v_[168];
+ jac[576] = v_[41] * v_[165] + v_[56] * v_[258] + -1 * jac[588];
+ jac[589] = v_[3] * v_[247] + v_[132] * v_[185] + jac[590];
+ v_[185] = v_[40] * v_[243] + v_[38] * v_[72] + -1 * jac[589];
+ v_[219] = v_[70] * v_[182] + v_[62] * v_[219];
+ jac[577] = v_[42] * v_[185] + v_[71] * v_[219] + v_[53] * v_[165] + v_[51] * v_[258];
+ v_[72] = v_[62] * v_[243] + v_[60] * v_[72];
+ jac[578] = v_[27] * v_[185] + v_[42] * v_[219] + 0.207 * v_[72] + v_[49] * v_[165] + v_[69] * v_[258];
+ jac[579] = -1 * v_[72];
+ v_[72] = v_[47] * v_[148] + (- v_[47]) * x_in[34];
+ v_[219] = v_[34] * v_[148] + v_[46] * x_in[34];
+ v_[185] = v_[47] * v_[253];
+ v_[258] = v_[47] * v_[231] - v_[46] * v_[11];
+ v_[165] = v_[46] * v_[253];
+ v_[243] = v_[15] * v_[47] + v_[17] * v_[46];
+ v_[182] = v_[15] * v_[72] + v_[48] * v_[219] + (- v_[243]) * x_in[35];
+ v_[247] = v_[48] * v_[47] + v_[15] * v_[46];
+ v_[168] = v_[17] * v_[72] + v_[15] * v_[219] + v_[247] * x_in[35];
+ v_[200] = -0.35 * v_[72] + v_[192];
+ v_[110] = v_[243] * v_[138] - v_[247] * v_[166];
+ v_[178] = v_[243] * v_[256];
+ v_[250] = v_[247] * v_[256];
+ v_[143] = v_[203] * v_[247] + v_[247] * v_[203];
+ v_[244] = v_[4] * v_[243] + v_[243] * v_[4];
+ v_[221] = -0.1104774 * v_[182] + -0.0004405 * v_[168] + 0.881 * v_[200] + 0.881 * v_[110] + 0.1104774 * v_[178] + -0.0004405 * v_[250] - 8.81e-05 * (v_[143] + v_[244]);
+ v_[163] = -0.47422804 * v_[72] + 0.0825825 * v_[219] + 3.146 * v_[192] + 0.47422804 * v_[185] + 3.146 * v_[258] + 0.0825825 * v_[165] + v_[221];
+ v_[140] = -0.5824264 * v_[148] + 3.44 * v_[192] + -3.44 * (0 - v_[190]) + 0.5824264 * v_[148] + v_[163];
+ v_[83] = 0 - v_[171];
+ v_[181] = v_[33] * v_[171] + v_[109] * v_[28];
+ v_[130] = v_[276] * 0.08 + v_[47] * v_[118];
+ v_[6] = v_[276] * v_[46] + v_[47] * v_[268];
+ v_[188] = v_[34] * v_[171] + v_[32] * v_[28];
+ v_[170] = v_[15] * v_[181] + v_[36] * v_[188] + v_[126] * v_[28];
+ v_[226] = -0.35 * v_[46] + 0.08;
+ v_[44] = v_[4] * v_[226] + v_[243] * v_[205];
+ v_[243] = v_[4] * v_[247] + v_[243] * v_[203];
+ v_[244] = 0.1104774 * v_[28] + -8.81e-05 * v_[168] + 0.881 * v_[170] + -0.881 * v_[44] + 0.1104774 * v_[243] + 8.81e-05 * v_[250] - -0.0004405 * v_[244];
+ v_[149] = v_[17] * v_[181] + v_[15] * v_[188] + v_[107] * v_[28];
+ v_[226] = v_[203] * v_[226] + v_[247] * v_[205];
+ jac[611] = 0.1104774 * v_[170] + 0.0004405 * v_[149] + 0.026181 * v_[28] + 0.1104774 * (0 - v_[44]) + 0.025941 * v_[243] - -0.0004405 * v_[226];
+ v_[243] = 0.0004405 * v_[28] + 8.81e-05 * v_[182] + 0.881 * v_[149] + 0.881 * v_[226] + 8.81e-05 * v_[178] + -0.0004405 * v_[243] - 0.1104774 * v_[143];
+ v_[143] = v_[276] * v_[47] + v_[47] * v_[276];
+ v_[247] = 3.146 * v_[181] + 0.47422804 * v_[28] + -3.146 * v_[130] + 0.47422804 * v_[6] + v_[15] * v_[244] + v_[17] * v_[243] - 0.0825825 * v_[143];
+ v_[118] = v_[268] * 0.08 + v_[46] * v_[118];
+ v_[205] = v_[268] * v_[46] + v_[46] * v_[268];
+ v_[183] = 3.146 * v_[188] + -0.0825825 * v_[28] + 3.146 * v_[118] + 0.0825825 * v_[6] + v_[36] * v_[244] + v_[15] * v_[243] - 0.47422804 * v_[205];
+ jac[597] = -0.1466472 * v_[28] + 0.1466472 * v_[264] + v_[35] * v_[247] + v_[37] * v_[183];
+ v_[172] = v_[172] + v_[172];
+ v_[2] = 3.44 * v_[171] + 0.5824264 * v_[28] + 3.44 * v_[83] + 0.5824264 * v_[264] + v_[33] * v_[247] + v_[34] * v_[183] - 0.1466472 * v_[172];
+ jac[598] = v_[24] * v_[140] + v_[16] * v_[2];
+ jac[599] = v_[16] * v_[140] + v_[30] * v_[2];
+ v_[226] = -0.1104774 * v_[200] + 8.81e-05 * v_[149] + 0.026409 * v_[182] + 8.81e-05 * v_[226] - 0.1104774 * v_[110] - 0.025713 * v_[178];
+ v_[44] = -0.0004405 * v_[200] + -8.81e-05 * v_[170] + 0.000468 * v_[168] + -0.0004405 * v_[110] + 8.81e-05 * v_[44] + -0.000227999999999999 * v_[250];
+ v_[221] = 2.1e-05 * v_[28] + 0.087136 * v_[72] + -0.007418 * v_[219] + -0.47422804 * v_[192] + -0.007418 * v_[165] + -0.000102 * (0 - v_[143]) + v_[15] * v_[226] + v_[17] * v_[44] + -0.35 * v_[221] - 0.47422804 * v_[258] - 0.084376 * v_[185] - 2.1e-05 * v_[6];
+ v_[44] = -0.000102 * v_[28] + -0.007418 * v_[72] + 0.005495 * v_[219] + 0.0825825 * v_[192] + 0.002735 * v_[165] + 0.0825825 * v_[258] + -0.000102 * v_[6] + v_[48] * v_[226] + v_[15] * v_[44] - -0.007418 * v_[185] - 2.1e-05 * (0 - v_[205]);
+ jac[609] = -5.1e-05 * v_[28] + -0.022734 * v_[148] + 0.1466472 * v_[192] + 0.1466472 * v_[190] + -5.1e-05 * v_[264] + v_[46] * v_[221] + v_[47] * v_[44] + 0.08 * v_[163] - -0.022734 * v_[148];
+ jac[594] = v_[8] * v_[140] + v_[29] * v_[2] + jac[609];
+ jac[610] = 0.089871 * v_[28] + 2.1e-05 * v_[72] + -0.000102 * v_[219] + 0.47422804 * v_[181] + -0.0825825 * v_[188] + 0.47422804 * (0 - v_[130]) + 0.081641 * v_[6] + 2.1e-05 * v_[185] + v_[126] * v_[244] + v_[107] * v_[243] + jac[611] - 0.0825825 * v_[118] - -0.000102 * v_[165] - -0.007418 * (v_[205] - v_[143]);
+ v_[183] = 0.144171 * v_[28] + -3.6e-05 * v_[148] + 0.5824264 * v_[171] + 0.5824264 * v_[83] + -3.6e-05 * v_[148] + -0.022734 * v_[172] + v_[109] * v_[247] + v_[32] * v_[183] + jac[610] - -0.123672 * v_[264];
+ v_[44] = -3.6e-05 * v_[28] + 0.134705 * v_[148] + -0.5824264 * v_[192] + -0.133138 * v_[148] + 0.5824264 * (0 - v_[190]) + v_[47] * v_[221] + v_[34] * v_[44] - -3.6e-05 * v_[264] - -5.1e-05 * v_[172];
+ jac[595] = v_[24] * v_[183] + v_[16] * v_[44] + v_[26] * v_[140] + v_[25] * v_[2];
+ jac[596] = v_[16] * v_[183] + v_[20] * v_[44] + 0.207 * jac[597] + v_[43] * v_[140] + v_[123] * v_[2];
+ v_[44] = v_[15] * v_[179] + v_[48] * v_[268];
+ v_[183] = v_[17] * v_[179] + v_[15] * v_[268];
+ v_[2] = -0.35 * v_[179];
+ v_[140] = v_[4] * v_[126] - v_[203] * v_[107];
+ v_[221] = -0.1104774 * v_[44] + -0.0004405 * v_[183] + 0.881 * v_[2] + 0.881 * v_[140] + 0.1104774 * v_[4] + -0.0004405 * v_[203];
+ v_[172] = -0.47422804 * v_[179] + 0.0825825 * v_[268] + 0.47422804 * v_[276] + 0.0825825 * v_[268] + v_[221];
+ v_[28] = v_[15] * v_[242] + v_[36] * v_[231] + (- v_[107]) * x_in[35];
+ v_[192] = v_[256] * v_[107] + v_[166];
+ v_[190] = v_[256] + v_[256];
+ v_[148] = -8.81e-05 * v_[183] + 0.881 * v_[28] + -0.881 * (0 - v_[192]) + 8.81e-05 * v_[203] - -0.0004405 * v_[190];
+ v_[264] = v_[17] * v_[242] + v_[15] * v_[231] + v_[126] * x_in[35];
+ v_[247] = 0 - (v_[256] * v_[126] + v_[138]);
+ jac[629] = 0.1104774 * v_[28] + 0.0004405 * v_[264] + 0.1104774 * v_[192] - -0.0004405 * v_[247];
+ v_[190] = 8.81e-05 * v_[44] + 0.881 * v_[264] + 0.881 * v_[247] + 8.81e-05 * v_[4] - 0.1104774 * v_[190];
+ v_[253] = v_[253] + v_[253];
+ v_[83] = 3.146 * v_[242] + -3.146 * (0 - v_[11]) + v_[15] * v_[148] + v_[17] * v_[190] - 0.0825825 * v_[253];
+ v_[171] = 0 - v_[231];
+ v_[205] = 3.146 * v_[231] + 3.146 * v_[171] + v_[36] * v_[148] + v_[15] * v_[190] - 0.47422804 * v_[253];
+ jac[615] = v_[35] * v_[83] + v_[37] * v_[205];
+ v_[118] = v_[33] * v_[83] + v_[34] * v_[205];
+ jac[616] = v_[24] * v_[172] + v_[16] * v_[118];
+ jac[617] = v_[16] * v_[172] + v_[30] * v_[118];
+ v_[247] = -0.1104774 * v_[2] + 8.81e-05 * v_[264] + 0.026409 * v_[44] + 8.81e-05 * v_[247] - 0.1104774 * v_[140] - 0.025713 * v_[4];
+ v_[192] = -0.0004405 * v_[2] + -8.81e-05 * v_[28] + 0.000468 * v_[183] + -0.0004405 * v_[140] + 8.81e-05 * (0 - v_[192]) + -0.000227999999999999 * v_[203];
+ v_[221] = 0.087136 * v_[179] + -0.007418 * v_[268] + -0.007418 * v_[268] + -0.000102 * v_[253] + v_[15] * v_[247] + v_[17] * v_[192] + -0.35 * v_[221] - 0.084376 * v_[276];
+ v_[192] = -0.007418 * v_[179] + 0.005495 * v_[268] + 0.002735 * v_[268] + v_[48] * v_[247] + v_[15] * v_[192] - -0.007418 * v_[276] - 2.1e-05 * v_[253];
+ jac[627] = v_[46] * v_[221] + v_[47] * v_[192] + 0.08 * v_[172];
+ jac[612] = v_[8] * v_[172] + v_[29] * v_[118] + jac[627];
+ jac[628] = 2.1e-05 * v_[179] + -0.000102 * v_[268] + 0.47422804 * v_[242] + -0.0825825 * v_[231] + 0.47422804 * v_[11] + 2.1e-05 * v_[276] + v_[126] * v_[148] + v_[107] * v_[190] + jac[629] - 0.0825825 * v_[171] - -0.000102 * v_[268];
+ v_[205] = v_[109] * v_[83] + v_[32] * v_[205] + jac[628];
+ v_[192] = v_[47] * v_[221] + v_[34] * v_[192];
+ jac[613] = v_[24] * v_[205] + v_[16] * v_[192] + v_[26] * v_[172] + v_[25] * v_[118];
+ jac[614] = v_[16] * v_[205] + v_[20] * v_[192] + 0.207 * jac[615] + v_[43] * v_[172] + v_[123] * v_[118];
+ v_[192] = -0.1104774 * v_[259] + -0.0004405 * v_[203] + 0.1104774 * v_[4] + -0.0004405 * v_[203];
+ v_[256] = v_[256] + v_[256];
+ v_[205] = -8.81e-05 * v_[203] + 0.881 * v_[283] + -0.881 * (0 - v_[166]) + 8.81e-05 * v_[203] - -0.0004405 * v_[256];
+ v_[118] = 0 - v_[138];
+ jac[647] = 0.1104774 * v_[283] + 0.0004405 * v_[138] + 0.1104774 * v_[166] - -0.0004405 * v_[118];
+ v_[256] = 8.81e-05 * v_[259] + 0.881 * v_[138] + 0.881 * v_[118] + 8.81e-05 * v_[4] - 0.1104774 * v_[256];
+ v_[172] = v_[15] * v_[205] + v_[17] * v_[256];
+ v_[221] = v_[36] * v_[205] + v_[15] * v_[256];
+ jac[633] = v_[35] * v_[172] + v_[37] * v_[221];
+ v_[83] = v_[33] * v_[172] + v_[34] * v_[221];
+ jac[634] = v_[24] * v_[192] + v_[16] * v_[83];
+ jac[635] = v_[16] * v_[192] + v_[30] * v_[83];
+ v_[118] = 8.81e-05 * v_[138] + 0.026409 * v_[259] + 8.81e-05 * v_[118] - 0.025713 * v_[4];
+ v_[283] = -8.81e-05 * v_[283] + 0.000468 * v_[203] + 8.81e-05 * (0 - v_[166]) + -0.000227999999999999 * v_[203];
+ v_[166] = v_[15] * v_[118] + v_[17] * v_[283] + -0.35 * v_[192];
+ v_[283] = v_[48] * v_[118] + v_[15] * v_[283];
+ jac[645] = v_[46] * v_[166] + v_[47] * v_[283] + 0.08 * v_[192];
+ jac[630] = v_[8] * v_[192] + v_[29] * v_[83] + jac[645];
+ jac[646] = v_[126] * v_[205] + v_[107] * v_[256] + jac[647];
+ v_[221] = v_[109] * v_[172] + v_[32] * v_[221] + jac[646];
+ v_[283] = v_[47] * v_[166] + v_[34] * v_[283];
+ jac[631] = v_[24] * v_[221] + v_[16] * v_[283] + v_[26] * v_[192] + v_[25] * v_[83];
+ jac[632] = v_[16] * v_[221] + v_[20] * v_[283] + 0.207 * jac[633] + v_[43] * v_[192] + v_[123] * v_[83];
+ v_[283] = v_[120] * v_[117] + v_[131] * v_[115];
+ v_[221] = v_[121] * v_[117] + v_[120] * v_[115];
+ v_[83] = -0.35 * v_[117] - 0.08;
+ v_[192] = -0.1104774 * v_[283] + 0.0004405 * v_[221] + 0.881 * v_[83];
+ v_[166] = -0.47422804 * v_[117] + -0.0825825 * v_[115] - 0.25168 + v_[192];
+ v_[172] = 0.1466472 + -1 * v_[166];
+ v_[256] = 8.81e-05 * v_[221];
+ v_[205] = -8.81e-05 * v_[283];
+ jac[763] = 2.1e-05 * v_[117] + 0.000102 * v_[115] + v_[88] * v_[256] + v_[134] * v_[205];
+ v_[118] = v_[120] * v_[256] + v_[121] * v_[205];
+ v_[205] = v_[122] * v_[256] + v_[120] * v_[205];
+ v_[256] = v_[116] * v_[118] + v_[117] * v_[205];
+ jac[760] = v_[105] * v_[172] + v_[113] * v_[256];
+ jac[761] = v_[79] * v_[172] + v_[112] * v_[256];
+ v_[283] = -0.1104774 * v_[83] + 0.026409 * v_[283];
+ v_[83] = 0.0004405 * v_[83] + 0.000468 * v_[221];
+ v_[192] = 0.087136 * v_[117] + 0.007418 * v_[115] + 0.0379382432 + v_[120] * v_[283] + v_[121] * v_[83] + -0.35 * v_[192];
+ v_[83] = 0.007418 * v_[117] + 0.005495 * v_[115] + 0.0066066 + v_[131] * v_[283] + v_[120] * v_[83];
+ jac[762] = 0.011033 + v_[117] * v_[192] + v_[115] * v_[83] + -0.08 * v_[166];
+ jac[756] = v_[96] * v_[172] + v_[111] * v_[256] + -1 * jac[762];
+ v_[96] = -5.1e-05 + v_[95] * v_[118] + v_[93] * v_[205] + -1 * jac[763];
+ v_[83] = -0.022734 + v_[125] * v_[192] + v_[117] * v_[83];
+ jac[757] = v_[97] * v_[96] + v_[127] * v_[83] + v_[108] * v_[172] + v_[106] * v_[256];
+ v_[205] = v_[117] * v_[118] + v_[115] * v_[205];
+ jac[758] = v_[79] * v_[96] + v_[97] * v_[83] + 0.207 * v_[205] + v_[104] * v_[172] + v_[128] * v_[256];
+ jac[759] = -1 * v_[205];
+ v_[205] = 0.1104774 + 0.881 * v_[88];
+ v_[83] = -0.0004405 + 0.881 * v_[134];
+ v_[96] = 0.47422804 + v_[120] * v_[205] + v_[121] * v_[83];
+ v_[256] = 0.0825825 + v_[122] * v_[205] + v_[120] * v_[83];
+ v_[172] = v_[116] * v_[96] + v_[117] * v_[256];
+ jac[778] = v_[113] * v_[172];
+ jac[779] = v_[112] * v_[172];
+ v_[104] = -8.81e-05 * v_[134];
+ v_[118] = 8.81e-05 * v_[88];
+ v_[108] = 2.1e-05 + v_[120] * v_[104] + v_[121] * v_[118];
+ v_[118] = 0.000102 + v_[131] * v_[104] + v_[120] * v_[118];
+ jac[780] = v_[117] * v_[108] + v_[115] * v_[118];
+ jac[774] = v_[111] * v_[172] + -1 * jac[780];
+ jac[781] = 0.089871 + v_[88] * v_[205] + v_[134] * v_[83] + jac[782];
+ v_[83] = v_[95] * v_[96] + v_[93] * v_[256] + -1 * jac[781];
+ v_[118] = v_[125] * v_[108] + v_[117] * v_[118];
+ jac[775] = v_[97] * v_[83] + v_[127] * v_[118] + v_[106] * v_[172];
+ v_[256] = v_[117] * v_[96] + v_[115] * v_[256];
+ jac[776] = v_[79] * v_[83] + v_[97] * v_[118] + 0.207 * v_[256] + v_[128] * v_[172];
+ jac[777] = -1 * v_[256];
+ v_[121] = v_[120] * 0.1104774 + v_[121] * -0.0004405;
+ v_[122] = v_[122] * 0.1104774 + v_[120] * -0.0004405;
+ v_[116] = v_[116] * v_[121] + v_[117] * v_[122];
+ jac[792] = v_[111] * v_[116];
+ jac[796] = v_[113] * v_[116];
+ jac[797] = v_[112] * v_[116];
+ v_[93] = v_[95] * v_[121] + v_[93] * v_[122] + -1 * jac[799];
+ jac[793] = v_[97] * v_[93] + v_[106] * v_[116];
+ v_[122] = v_[117] * v_[121] + v_[115] * v_[122];
+ jac[794] = v_[79] * v_[93] + 0.207 * v_[122] + v_[128] * v_[116];
+ jac[795] = -1 * v_[122];
+ v_[122] = v_[89] * v_[101] + v_[103] * v_[102];
+ v_[93] = v_[90] * v_[101] + v_[89] * v_[102];
+ v_[116] = -0.35 * v_[101] + 0.08;
+ v_[128] = -0.1104774 * v_[122] + 0.0004405 * v_[93] + 0.881 * v_[116];
+ v_[79] = -0.47422804 * v_[101] + -0.0825825 * v_[102] + 0.25168 + v_[128];
+ v_[121] = 0.1466472 + v_[79];
+ v_[117] = 8.81e-05 * v_[93];
+ v_[115] = -8.81e-05 * v_[122];
+ jac[820] = 2.1e-05 * v_[101] + 0.000102 * v_[102] + v_[64] * v_[117] + v_[133] * v_[115];
+ v_[106] = v_[89] * v_[117] + v_[90] * v_[115];
+ v_[115] = v_[91] * v_[117] + v_[89] * v_[115];
+ jac[813] = v_[87] * v_[106] + v_[92] * v_[115];
+ v_[117] = v_[85] * v_[106] + v_[86] * v_[115];
+ jac[814] = v_[52] * v_[121] + v_[54] * v_[117];
+ jac[815] = v_[54] * v_[121] + v_[82] * v_[117];
+ v_[122] = -0.1104774 * v_[116] + 0.026409 * v_[122];
+ v_[116] = 0.0004405 * v_[116] + 0.000468 * v_[93];
+ v_[128] = 0.087136 * v_[101] + 0.007418 * v_[102] - 0.0379382432 + v_[89] * v_[122] + v_[90] * v_[116] + -0.35 * v_[128];
+ v_[116] = 0.007418 * v_[101] + 0.005495 * v_[102] - 0.0066066 + v_[103] * v_[122] + v_[89] * v_[116];
+ jac[819] = 0.011033 + v_[101] * v_[128] + v_[102] * v_[116] + 0.08 * v_[79];
+ jac[810] = v_[74] * v_[121] + v_[81] * v_[117] + jac[819];
+ v_[115] = -5.1e-05 + v_[68] * v_[106] + v_[84] * v_[115] + jac[820];
+ v_[116] = 0.022734 + v_[102] * v_[128] + v_[86] * v_[116];
+ jac[811] = v_[52] * v_[115] + v_[54] * v_[116] + v_[78] * v_[121] + v_[77] * v_[117];
+ jac[812] = v_[54] * v_[115] + v_[63] * v_[116] + 0.207 * jac[813] + v_[98] * v_[121] + v_[119] * v_[117];
+ v_[116] = 0.1104774 + 0.881 * v_[64];
+ v_[115] = -0.0004405 + 0.881 * v_[133];
+ v_[117] = 0.47422804 + v_[89] * v_[116] + v_[90] * v_[115];
+ v_[121] = 0.0825825 + v_[91] * v_[116] + v_[89] * v_[115];
+ jac[831] = v_[87] * v_[117] + v_[92] * v_[121];
+ v_[98] = v_[85] * v_[117] + v_[86] * v_[121];
+ jac[832] = v_[54] * v_[98];
+ jac[833] = v_[82] * v_[98];
+ v_[78] = -8.81e-05 * v_[133];
+ v_[128] = 8.81e-05 * v_[64];
+ v_[106] = 2.1e-05 + v_[89] * v_[78] + v_[90] * v_[128];
+ v_[128] = 0.000102 + v_[103] * v_[78] + v_[89] * v_[128];
+ jac[837] = v_[101] * v_[106] + v_[102] * v_[128];
+ jac[828] = v_[81] * v_[98] + jac[837];
+ jac[838] = 0.089871 + v_[64] * v_[116] + v_[133] * v_[115] + jac[839];
+ v_[121] = v_[68] * v_[117] + v_[84] * v_[121] + jac[838];
+ v_[128] = v_[102] * v_[106] + v_[86] * v_[128];
+ jac[829] = v_[52] * v_[121] + v_[54] * v_[128] + v_[77] * v_[98];
+ jac[830] = v_[54] * v_[121] + v_[63] * v_[128] + 0.207 * jac[831] + v_[119] * v_[98];
+ v_[90] = v_[89] * 0.1104774 + v_[90] * -0.0004405;
+ v_[91] = v_[91] * 0.1104774 + v_[89] * -0.0004405;
+ jac[849] = v_[87] * v_[90] + v_[92] * v_[91];
+ v_[86] = v_[85] * v_[90] + v_[86] * v_[91];
+ jac[846] = v_[81] * v_[86];
+ jac[850] = v_[54] * v_[86];
+ jac[851] = v_[82] * v_[86];
+ v_[91] = v_[68] * v_[90] + v_[84] * v_[91] + jac[856];
+ jac[847] = v_[52] * v_[91] + v_[77] * v_[86];
+ jac[848] = v_[54] * v_[91] + 0.207 * jac[849] + v_[119] * v_[86];
+ v_[91] = v_[65] * v_[62] + v_[76] * v_[60];
+ v_[86] = v_[66] * v_[62] + v_[65] * v_[60];
+ v_[119] = -0.35 * v_[62] - 0.08;
+ v_[54] = -0.110125 * v_[91] + -0.000881 * v_[86] + 0.881 * v_[119];
+ v_[77] = -0.47422804 * v_[62] + 0.0825825 * v_[60] - 0.25168 + v_[54];
+ v_[52] = 0.1466472 + -1 * v_[77];
+ jac[868] = v_[50] * v_[52];
+ jac[869] = v_[27] * v_[52];
+ v_[91] = -0.110125 * v_[119] + 0.026409 * v_[91];
+ v_[119] = -0.000881 * v_[119] + 0.000468 * v_[86];
+ v_[54] = 0.087136 * v_[62] + -0.007418 * v_[60] + 0.0379382432 + v_[65] * v_[91] + v_[66] * v_[119] + -0.35 * v_[54];
+ v_[119] = -0.007418 * v_[62] + 0.005495 * v_[60] - 0.0066066 + v_[76] * v_[91] + v_[65] * v_[119];
+ jac[876] = 0.011033 + v_[62] * v_[54] + v_[60] * v_[119] + -0.08 * v_[77];
+ jac[864] = v_[41] * v_[52] + -1 * jac[876];
+ v_[41] = -5.1e-05 + -1 * jac[877];
+ v_[119] = 0.022734 + v_[70] * v_[54] + v_[62] * v_[119];
+ jac[865] = v_[42] * v_[41] + v_[71] * v_[119] + v_[53] * v_[52];
+ jac[866] = v_[27] * v_[41] + v_[42] * v_[119] + v_[49] * v_[52];
+ v_[119] = 0.881 * v_[3] + 0.110125;
+ v_[41] = 0.881 * v_[132] + 0.000881;
+ v_[52] = 0.47422804 + v_[65] * v_[119] + v_[66] * v_[41];
+ v_[49] = -0.0825825 + v_[67] * v_[119] + v_[65] * v_[41];
+ v_[53] = v_[61] * v_[52] + v_[62] * v_[49];
+ jac[882] = v_[56] * v_[53] + -1 * jac[894];
+ jac[895] = 0.089871 + v_[3] * v_[119] + v_[132] * v_[41] + jac[896];
+ jac[886] = v_[58] * v_[53];
+ jac[887] = v_[57] * v_[53];
+ v_[41] = v_[40] * v_[52] + v_[38] * v_[49] + -1 * jac[895];
+ v_[70] = v_[70] * 2.1e-05 + v_[62] * -0.000102;
+ jac[883] = v_[42] * v_[41] + v_[71] * v_[70] + v_[51] * v_[53];
+ v_[49] = v_[62] * v_[52] + v_[60] * v_[49];
+ jac[884] = v_[27] * v_[41] + v_[42] * v_[70] + 0.207 * v_[49] + v_[69] * v_[53];
+ jac[885] = -1 * v_[49];
+ v_[66] = v_[65] * 0.110125 + v_[66] * 0.000881;
+ v_[67] = v_[67] * 0.110125 + v_[65] * 0.000881;
+ v_[61] = v_[61] * v_[66] + v_[62] * v_[67];
+ jac[900] = v_[56] * v_[61];
+ jac[904] = v_[58] * v_[61];
+ jac[905] = v_[57] * v_[61];
+ v_[38] = v_[40] * v_[66] + v_[38] * v_[67] + -1 * jac[913];
+ jac[901] = v_[42] * v_[38] + v_[51] * v_[61];
+ v_[67] = v_[62] * v_[66] + v_[60] * v_[67];
+ jac[902] = v_[27] * v_[38] + 0.207 * v_[67] + v_[69] * v_[61];
+ jac[903] = -1 * v_[67];
+ v_[67] = v_[15] * v_[46] + v_[48] * v_[47];
+ v_[38] = v_[17] * v_[46] + v_[15] * v_[47];
+ v_[61] = -0.35 * v_[46] + 0.08;
+ v_[69] = -0.1104774 * v_[67] + -0.0004405 * v_[38] + 0.881 * v_[61];
+ v_[27] = -0.47422804 * v_[46] + 0.0825825 * v_[47] + 0.25168 + v_[69];
+ v_[66] = 0.1466472 + v_[27];
+ v_[62] = -8.81e-05 * v_[38];
+ v_[60] = 8.81e-05 * v_[67];
+ jac[934] = 2.1e-05 * v_[46] + -0.000102 * v_[47] + v_[126] * v_[62] + v_[107] * v_[60];
+ v_[51] = v_[15] * v_[62] + v_[17] * v_[60];
+ v_[60] = v_[36] * v_[62] + v_[15] * v_[60];
+ jac[921] = v_[35] * v_[51] + v_[37] * v_[60];
+ v_[62] = v_[33] * v_[51] + v_[34] * v_[60];
+ jac[922] = v_[24] * v_[66] + v_[16] * v_[62];
+ jac[923] = v_[16] * v_[66] + v_[30] * v_[62];
+ v_[67] = -0.1104774 * v_[61] + 0.026409 * v_[67];
+ v_[61] = -0.0004405 * v_[61] + 0.000468 * v_[38];
+ v_[69] = 0.087136 * v_[46] + -0.007418 * v_[47] - 0.0379382432 + v_[15] * v_[67] + v_[17] * v_[61] + -0.35 * v_[69];
+ v_[61] = -0.007418 * v_[46] + 0.005495 * v_[47] + 0.0066066 + v_[48] * v_[67] + v_[15] * v_[61];
+ jac[933] = 0.011033 + v_[46] * v_[69] + v_[47] * v_[61] + 0.08 * v_[27];
+ jac[918] = v_[8] * v_[66] + v_[29] * v_[62] + jac[933];
+ v_[60] = -5.1e-05 + v_[109] * v_[51] + v_[32] * v_[60] + jac[934];
+ v_[61] = -0.022734 + v_[47] * v_[69] + v_[34] * v_[61];
+ jac[919] = v_[24] * v_[60] + v_[16] * v_[61] + v_[26] * v_[66] + v_[25] * v_[62];
+ jac[920] = v_[16] * v_[60] + v_[20] * v_[61] + 0.207 * jac[921] + v_[43] * v_[66] + v_[123] * v_[62];
+ v_[61] = 0.1104774 + 0.881 * v_[126];
+ v_[60] = 0.0004405 + 0.881 * v_[107];
+ v_[62] = 0.47422804 + v_[15] * v_[61] + v_[17] * v_[60];
+ v_[66] = -0.0825825 + v_[36] * v_[61] + v_[15] * v_[60];
+ jac[939] = v_[35] * v_[62] + v_[37] * v_[66];
+ v_[43] = v_[33] * v_[62] + v_[34] * v_[66];
+ jac[940] = v_[16] * v_[43];
+ jac[941] = v_[30] * v_[43];
+ v_[26] = 8.81e-05 * v_[107];
+ v_[69] = -8.81e-05 * v_[126];
+ v_[51] = 2.1e-05 + v_[15] * v_[26] + v_[17] * v_[69];
+ v_[69] = -0.000102 + v_[48] * v_[26] + v_[15] * v_[69];
+ jac[951] = v_[46] * v_[51] + v_[47] * v_[69];
+ jac[936] = v_[29] * v_[43] + jac[951];
+ jac[952] = 0.089871 + v_[126] * v_[61] + v_[107] * v_[60] + jac[953];
+ v_[66] = v_[109] * v_[62] + v_[32] * v_[66] + jac[952];
+ v_[69] = v_[47] * v_[51] + v_[34] * v_[69];
+ jac[937] = v_[24] * v_[66] + v_[16] * v_[69] + v_[25] * v_[43];
+ jac[938] = v_[16] * v_[66] + v_[20] * v_[69] + 0.207 * jac[939] + v_[123] * v_[43];
+ v_[17] = v_[15] * 0.1104774 + v_[17] * 0.0004405;
+ v_[36] = v_[36] * 0.1104774 + v_[15] * 0.0004405;
+ jac[957] = v_[35] * v_[17] + v_[37] * v_[36];
+ v_[34] = v_[33] * v_[17] + v_[34] * v_[36];
+ jac[954] = v_[29] * v_[34];
+ jac[958] = v_[16] * v_[34];
+ jac[959] = v_[30] * v_[34];
+ v_[36] = v_[109] * v_[17] + v_[32] * v_[36] + jac[970];
+ jac[955] = v_[24] * v_[36] + v_[25] * v_[34];
+ jac[956] = v_[16] * v_[36] + 0.207 * jac[957] + v_[123] * v_[34];
+ // dependent variables without operations
+ jac[800] = 0.026181;
+ jac[857] = 0.026181;
+ jac[914] = 0.026181;
+ jac[971] = 0.026181;
+
+
+ return jac_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacForward.h b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacForward.h
new file mode 100644
index 0000000..e1617aa
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacForward.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQInverseDynJacForward : public core::Derivatives<54, 18, double>
+{
+public:
+ typedef Eigen::Matrix<double, 18, 54> JAC_TYPE;
+ typedef Eigen::Matrix<double, 54, 1> X_TYPE;
+
+ HyQInverseDynJacForward()
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyQInverseDynJacForward(const HyQInverseDynJacForward& other)
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyQInverseDynJacForward(){};
+
+ HyQInverseDynJacForward* clone() const override { return new HyQInverseDynJacForward(*this); }
+ JAC_TYPE jacobian(const Eigen::VectorXd& x_in) override;
+
+private:
+ JAC_TYPE jac_;
+ std::array<double, 337> v_;
+};
+
+} /* namespace HyQ */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.cpp
new file mode 100644
index 0000000..a604f2f
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.cpp
@@ -0,0 +1,3545 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+#include "HyQInverseDynJacReverse.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+HyQInverseDynJacReverse::JAC_TYPE HyQInverseDynJacReverse::jacobian(const Eigen::VectorXd& x_in)
+{
+ double* jac = jac_.data();
+
+ v_[0] = cos(x_in[15]);
+ v_[1] = 0.207 * v_[0];
+ v_[2] = sin(x_in[16]);
+ v_[3] = 0 - v_[2];
+ v_[4] = v_[1] * v_[3];
+ v_[5] = cos(x_in[17]);
+ v_[6] = cos(x_in[16]);
+ v_[7] = v_[1] * v_[6];
+ v_[8] = sin(x_in[17]);
+ v_[9] = 0 - v_[8];
+ v_[10] = v_[4] * v_[5] + v_[7] * v_[9];
+ v_[11] = 0 - v_[6];
+ v_[12] = 0 - v_[2];
+ v_[13] = v_[11] * v_[8] + v_[12] * v_[5];
+ v_[14] = v_[10] * 0.881 + v_[13] * -8.81e-05;
+ v_[15] = v_[4] * v_[8] + v_[7] * v_[5];
+ jac[954] = v_[10] * 0.1104774 + v_[15] * 0.0004405;
+ v_[16] = 0 - v_[8];
+ v_[17] = v_[11] * v_[5] + v_[12] * v_[16];
+ v_[18] = v_[15] * 0.881 + v_[17] * 8.81e-05;
+ v_[19] = v_[14] * v_[5] + v_[18] * v_[8] + v_[4] * 3.146;
+ v_[20] = 0 - v_[6];
+ v_[21] = v_[14] * v_[9] + v_[18] * v_[5] + v_[7] * 3.146;
+ v_[22] = 0 - v_[2];
+ v_[23] = cos(x_in[12]);
+ v_[24] = -0.207 * v_[23];
+ v_[25] = sin(x_in[13]);
+ v_[26] = 0 - v_[25];
+ v_[27] = v_[24] * v_[26];
+ v_[28] = cos(x_in[14]);
+ v_[29] = cos(x_in[13]);
+ jac[877] = 2.1e-05 * v_[29] + -0.000102 * v_[25];
+ jac[894] = v_[29] * 2.1e-05 + v_[25] * -0.000102;
+ v_[30] = v_[24] * v_[29];
+ v_[31] = sin(x_in[14]);
+ v_[32] = 0 - v_[31];
+ v_[33] = v_[27] * v_[28] + v_[30] * v_[32];
+ v_[34] = v_[33] * 0.881;
+ v_[35] = v_[27] * v_[31] + v_[30] * v_[28];
+ jac[900] = v_[33] * 0.110125 + v_[35] * 0.000881;
+ v_[36] = v_[35] * 0.881;
+ v_[37] = v_[34] * v_[28] + v_[36] * v_[31] + v_[27] * 3.146;
+ v_[38] = v_[34] * v_[32] + v_[36] * v_[28] + v_[30] * 3.146;
+ v_[39] = cos(x_in[9]);
+ v_[40] = 0.207 * v_[39];
+ v_[41] = sin(x_in[10]);
+ v_[42] = 0 - v_[41];
+ v_[43] = v_[40] * v_[42];
+ v_[44] = cos(x_in[11]);
+ v_[45] = cos(x_in[10]);
+ v_[46] = v_[40] * v_[45];
+ v_[47] = sin(x_in[11]);
+ v_[48] = 0 - v_[47];
+ v_[49] = v_[43] * v_[44] + v_[46] * v_[48];
+ v_[50] = 0 - v_[45];
+ v_[51] = 0 - v_[41];
+ v_[52] = v_[50] * v_[47] + v_[51] * v_[44];
+ v_[53] = v_[49] * 0.881 + v_[52] * 8.81e-05;
+ v_[54] = v_[43] * v_[47] + v_[46] * v_[44];
+ jac[846] = v_[49] * 0.1104774 + v_[54] * -0.0004405;
+ v_[55] = 0 - v_[47];
+ v_[56] = v_[50] * v_[44] + v_[51] * v_[55];
+ v_[57] = v_[54] * 0.881 + v_[56] * -8.81e-05;
+ v_[58] = v_[53] * v_[44] + v_[57] * v_[47] + v_[43] * 3.146;
+ v_[59] = 0 - v_[45];
+ v_[60] = v_[53] * v_[48] + v_[57] * v_[44] + v_[46] * 3.146;
+ v_[61] = 0 - v_[41];
+ v_[62] = cos(x_in[6]);
+ v_[63] = -0.207 * v_[62];
+ v_[64] = sin(x_in[7]);
+ v_[65] = 0 - v_[64];
+ v_[66] = v_[63] * v_[65];
+ v_[67] = cos(x_in[8]);
+ v_[68] = cos(x_in[7]);
+ v_[69] = v_[63] * v_[68];
+ v_[70] = sin(x_in[8]);
+ v_[71] = 0 - v_[70];
+ v_[72] = v_[66] * v_[67] + v_[69] * v_[71];
+ v_[73] = -1 * v_[68];
+ v_[74] = -1 * v_[64];
+ v_[75] = v_[73] * v_[70] + v_[74] * v_[67];
+ v_[76] = v_[72] * 0.881 + v_[75] * 8.81e-05;
+ v_[77] = v_[66] * v_[70] + v_[69] * v_[67];
+ jac[792] = v_[72] * 0.1104774 + v_[77] * -0.0004405;
+ v_[78] = 0 - v_[70];
+ v_[79] = v_[73] * v_[67] + v_[74] * v_[78];
+ v_[80] = v_[77] * 0.881 + v_[79] * -8.81e-05;
+ v_[81] = v_[76] * v_[67] + v_[80] * v_[70] + v_[66] * 3.146;
+ v_[82] = v_[76] * v_[71] + v_[80] * v_[67] + v_[69] * 3.146;
+ v_[83] = (0 - (v_[19] * v_[20] + v_[21] * v_[22] + (v_[37] * v_[29] + v_[38] * v_[25]) * -1 + v_[58] * v_[59] + v_[60] * v_[61] + (v_[81] * v_[68] + v_[82] * v_[64]) * -1)) * -9.81;
+ v_[84] = 0.5 * x_in[0];
+ v_[85] = cos(v_[84]);
+ v_[86] = 0.5 * x_in[1];
+ v_[87] = cos(v_[86]);
+ v_[88] = v_[85] * v_[87];
+ v_[89] = 0.5 * x_in[2];
+ v_[90] = sin(v_[89]);
+ v_[91] = sin(v_[84]);
+ v_[92] = sin(v_[86]);
+ v_[93] = v_[91] * v_[92];
+ v_[94] = cos(v_[89]);
+ v_[95] = 2. * (v_[88] * v_[90] + v_[93] * v_[94]);
+ v_[96] = sin(x_in[15]);
+ v_[97] = -0.207 * v_[96];
+ v_[98] = v_[97] + 0.08;
+ v_[99] = v_[98] + v_[11] * -0.35;
+ v_[100] = v_[99] * 0.881 + v_[17] * -0.1104774 + v_[13] * -0.0004405;
+ v_[101] = v_[100] + v_[98] * 3.146 + v_[11] * -0.47422804 + v_[12] * 0.0825825;
+ v_[102] = v_[101] + v_[97] * 3.44 + 0.1466472;
+ v_[103] = v_[19] * v_[3] + v_[21] * v_[6] + v_[1] * 3.44;
+ v_[104] = 0 - v_[0];
+ v_[105] = sin(x_in[12]);
+ v_[106] = 0.207 * v_[105];
+ v_[107] = v_[106] * -1 + 0.08;
+ v_[108] = -1 * v_[29];
+ v_[109] = v_[107] + v_[108] * -0.35;
+ v_[110] = -1 * v_[25];
+ v_[111] = 0 - v_[31];
+ v_[112] = v_[108] * v_[28] + v_[110] * v_[111];
+ v_[113] = v_[108] * v_[31] + v_[110] * v_[28];
+ v_[114] = v_[109] * 0.881 + v_[112] * -0.110125 + v_[113] * -0.000881;
+ v_[115] = v_[114] + v_[107] * 3.146 + v_[108] * -0.47422804 + v_[110] * 0.0825825;
+ v_[116] = v_[115] * -1 + v_[106] * 3.44 - 0.1466472;
+ v_[117] = v_[37] * v_[26] + v_[38] * v_[29] + v_[24] * 3.44;
+ v_[118] = 0 - v_[23];
+ v_[119] = sin(x_in[9]);
+ v_[120] = -0.207 * v_[119];
+ v_[121] = v_[120] + 0.08;
+ v_[122] = v_[121] + v_[50] * -0.35;
+ v_[123] = v_[122] * 0.881 + v_[56] * -0.1104774 + v_[52] * 0.0004405;
+ v_[124] = v_[123] + v_[121] * 3.146 + v_[50] * -0.47422804 + v_[51] * -0.0825825;
+ v_[125] = v_[124] + v_[120] * 3.44 + 0.1466472;
+ v_[126] = v_[58] * v_[42] + v_[60] * v_[45] + v_[40] * 3.44;
+ v_[127] = 0 - v_[39];
+ v_[128] = sin(x_in[6]);
+ v_[129] = 0.207 * v_[128];
+ v_[130] = v_[129] * -1 + 0.08;
+ v_[131] = v_[130] + v_[73] * -0.35;
+ v_[132] = v_[131] * 0.881 + v_[79] * -0.1104774 + v_[75] * 0.0004405;
+ v_[133] = v_[132] + v_[130] * 3.146 + v_[73] * -0.47422804 + v_[74] * -0.0825825;
+ v_[134] = v_[133] * -1 + v_[129] * 3.44 - 0.1466472;
+ v_[135] = v_[81] * v_[65] + v_[82] * v_[68] + v_[63] * 3.44;
+ v_[136] = 0 - v_[62];
+ v_[137] = (0 - (-0.0053433 + v_[102] * v_[96] + v_[103] * v_[104] + v_[116] * v_[105] + v_[117] * v_[118] + v_[125] * v_[119] + v_[126] * v_[127] + v_[134] * v_[128] + v_[135] * v_[136])) * -9.81;
+ v_[138] = 0 - v_[137];
+ v_[139] = v_[91] * v_[87];
+ v_[140] = v_[85] * v_[92];
+ v_[141] = v_[139] * v_[94] + v_[140] * v_[90];
+ v_[142] = 2. * v_[141];
+ v_[143] = 0 - v_[23];
+ v_[144] = 0 - v_[105];
+ v_[145] = 0 - v_[62];
+ v_[146] = 0 - v_[128];
+ v_[147] = (0 - (-2.0678571 + v_[102] * v_[0] + v_[103] * v_[96] + v_[116] * v_[143] + v_[117] * v_[144] + v_[125] * v_[39] + v_[126] * v_[119] + v_[134] * v_[145] + v_[135] * v_[146])) * -9.81;
+ v_[148] = v_[88] * v_[94] - v_[93] * v_[90];
+ v_[138] = v_[83] * v_[95] + v_[138] * v_[142] + (v_[138] * v_[141] + v_[147] * v_[148]) * 2.;
+ v_[137] = 0 - v_[137];
+ v_[149] = v_[140] * v_[94] - v_[139] * v_[90];
+ v_[150] = 2. * v_[149];
+ v_[151] = 0 - v_[83];
+ v_[137] = v_[147] * v_[95] + v_[137] * v_[150] + (v_[137] * v_[149] + v_[151] * v_[148]) * 2.;
+ v_[152] = 0 - v_[137];
+ v_[153] = v_[138] * v_[94] + v_[152] * v_[90];
+ v_[151] = v_[151] * v_[150] + v_[147] * v_[142];
+ v_[154] = 0 - v_[151];
+ v_[147] = (v_[147] * v_[149] + v_[83] * v_[141]) * 2.;
+ v_[83] = v_[154] * v_[90] + v_[147] * v_[94];
+ v_[155] = cos(v_[84]);
+ v_[156] = v_[151] * v_[94] + v_[147] * v_[90];
+ v_[157] = v_[138] * v_[90] + v_[137] * v_[94];
+ v_[84] = sin(v_[84]);
+ jac[0] = ((v_[153] * v_[87] + v_[83] * v_[92]) * v_[155] - (v_[156] * v_[87] + v_[157] * v_[92]) * v_[84]) * 0.5;
+ v_[158] = -0.3735 * v_[0];
+ v_[159] = 0.08 * v_[6];
+ v_[160] = v_[158] * v_[3] + v_[0] * v_[159];
+ v_[2] = 0.08 * v_[2];
+ v_[161] = v_[158] * v_[6] + v_[0] * v_[2];
+ v_[162] = 0.35 * v_[5];
+ v_[163] = v_[160] * v_[5] + v_[161] * v_[9] + v_[0] * v_[162];
+ v_[164] = v_[96] * v_[12];
+ v_[165] = v_[96] * v_[6];
+ v_[166] = v_[164] * v_[8] + v_[165] * v_[5];
+ v_[167] = v_[163] * 0.881 + v_[0] * 0.1104774 + v_[166] * -8.81e-05;
+ v_[168] = 0.35 * v_[8];
+ jac[953] = 0.026181 + 0.1104774 * v_[162] + 0.0004405 * v_[168];
+ jac[970] = v_[162] * 0.1104774 + v_[168] * 0.0004405 + 0.026181;
+ v_[169] = v_[160] * v_[8] + v_[161] * v_[5] + v_[0] * v_[168];
+ jac[955] = v_[163] * 0.1104774 + v_[169] * 0.0004405 + v_[0] * 0.026181;
+ v_[170] = v_[164] * v_[5] + v_[165] * v_[16];
+ v_[171] = v_[169] * 0.881 + v_[0] * 0.0004405 + v_[170] * 8.81e-05;
+ v_[172] = v_[167] * v_[5] + v_[171] * v_[8] + v_[160] * 3.146 + v_[0] * 0.47422804;
+ v_[173] = v_[167] * v_[9] + v_[171] * v_[5] + v_[161] * 3.146 + v_[0] * -0.0825825;
+ v_[174] = -0.3735 * v_[23];
+ v_[175] = 0 - v_[23];
+ v_[176] = -0.08 * v_[29];
+ v_[177] = v_[174] * v_[26] + v_[175] * v_[176];
+ v_[178] = -0.08 * v_[25];
+ v_[179] = v_[174] * v_[29] + v_[175] * v_[178];
+ v_[180] = v_[175] * -1;
+ v_[181] = 0.35 * v_[28];
+ v_[182] = v_[177] * v_[28] + v_[179] * v_[32] + v_[180] * v_[181];
+ v_[183] = v_[182] * 0.881 + v_[180] * 0.110125;
+ v_[184] = 0.35 * v_[31];
+ jac[896] = 0.026181 + 0.110125 * v_[181] + 0.000881 * v_[184];
+ jac[913] = v_[181] * 0.110125 + v_[184] * 0.000881 + 0.026181;
+ v_[185] = v_[177] * v_[31] + v_[179] * v_[28] + v_[180] * v_[184];
+ jac[901] = v_[182] * 0.110125 + v_[185] * 0.000881 + v_[180] * 0.026181;
+ v_[186] = v_[185] * 0.881 + v_[180] * 0.000881;
+ v_[187] = v_[183] * v_[28] + v_[186] * v_[31] + v_[177] * 3.146 + v_[180] * 0.47422804;
+ v_[188] = v_[183] * v_[32] + v_[186] * v_[28] + v_[179] * 3.146 + v_[180] * -0.0825825;
+ v_[189] = 0.3735 * v_[39];
+ v_[190] = 0.08 * v_[45];
+ v_[191] = v_[189] * v_[42] + v_[39] * v_[190];
+ v_[41] = 0.08 * v_[41];
+ v_[192] = v_[189] * v_[45] + v_[39] * v_[41];
+ v_[193] = 0.35 * v_[44];
+ v_[194] = v_[191] * v_[44] + v_[192] * v_[48] + v_[39] * v_[193];
+ v_[195] = v_[119] * v_[51];
+ v_[196] = v_[119] * v_[45];
+ v_[197] = v_[195] * v_[47] + v_[196] * v_[44];
+ v_[198] = v_[194] * 0.881 + v_[39] * 0.1104774 + v_[197] * 8.81e-05;
+ v_[199] = 0.35 * v_[47];
+ jac[839] = 0.026181 + 0.1104774 * v_[193] + -0.0004405 * v_[199];
+ jac[856] = v_[193] * 0.1104774 + v_[199] * -0.0004405 + 0.026181;
+ v_[200] = v_[191] * v_[47] + v_[192] * v_[44] + v_[39] * v_[199];
+ jac[847] = v_[194] * 0.1104774 + v_[200] * -0.0004405 + v_[39] * 0.026181;
+ v_[201] = v_[195] * v_[44] + v_[196] * v_[55];
+ v_[202] = v_[200] * 0.881 + v_[39] * -0.0004405 + v_[201] * -8.81e-05;
+ v_[203] = v_[198] * v_[44] + v_[202] * v_[47] + v_[191] * 3.146 + v_[39] * 0.47422804;
+ v_[204] = v_[198] * v_[48] + v_[202] * v_[44] + v_[192] * 3.146 + v_[39] * 0.0825825;
+ v_[205] = 0.3735 * v_[62];
+ v_[206] = 0 - v_[62];
+ v_[207] = -0.08 * v_[68];
+ v_[208] = v_[205] * v_[65] + v_[206] * v_[207];
+ v_[209] = -0.08 * v_[64];
+ v_[210] = v_[205] * v_[68] + v_[206] * v_[209];
+ v_[211] = v_[206] * -1;
+ v_[212] = 0.35 * v_[67];
+ v_[213] = v_[208] * v_[67] + v_[210] * v_[71] + v_[211] * v_[212];
+ v_[214] = 0 - v_[128];
+ v_[215] = 0 - v_[64];
+ v_[216] = v_[214] * v_[215];
+ v_[217] = v_[214] * v_[68];
+ v_[218] = v_[216] * v_[70] + v_[217] * v_[67];
+ v_[219] = v_[213] * 0.881 + v_[211] * 0.1104774 + v_[218] * 8.81e-05;
+ v_[220] = 0.35 * v_[70];
+ jac[782] = 0.026181 + 0.1104774 * v_[212] + -0.0004405 * v_[220];
+ jac[799] = v_[212] * 0.1104774 + v_[220] * -0.0004405 + 0.026181;
+ v_[221] = v_[208] * v_[70] + v_[210] * v_[67] + v_[211] * v_[220];
+ jac[793] = v_[213] * 0.1104774 + v_[221] * -0.0004405 + v_[211] * 0.026181;
+ v_[222] = v_[216] * v_[67] + v_[217] * v_[78];
+ v_[223] = v_[221] * 0.881 + v_[211] * -0.0004405 + v_[222] * -8.81e-05;
+ v_[224] = v_[219] * v_[67] + v_[223] * v_[70] + v_[208] * 3.146 + v_[211] * 0.47422804;
+ v_[225] = v_[219] * v_[71] + v_[223] * v_[67] + v_[210] * 3.146 + v_[211] * 0.0825825;
+ v_[226] = (0 - (2.0678571 + v_[172] * v_[20] + v_[173] * v_[22] + v_[0] * -0.1466472 + (v_[187] * v_[29] + v_[188] * v_[25] + v_[175] * -0.1466472) * -1 + v_[203] * v_[59] + v_[204] * v_[61] + v_[39] * -0.1466472 + (v_[224] * v_[68] + v_[225] * v_[64] + v_[206] * -0.1466472) * -1)) * -9.81;
+ v_[227] = 0.3735 * v_[96];
+ v_[228] = v_[227] + v_[164] * -0.35;
+ v_[229] = v_[228] * 0.881 + v_[170] * -0.1104774 + v_[166] * -0.0004405;
+ v_[230] = v_[229] + v_[227] * 3.146 + v_[164] * -0.47422804 + v_[165] * 0.0825825;
+ v_[231] = v_[230] + v_[227] * 3.44 + v_[96] * -0.5824264;
+ v_[232] = v_[172] * v_[3] + v_[173] * v_[6] + v_[158] * 3.44 + v_[0] * 0.5824264;
+ v_[233] = 0.3735 * v_[105];
+ v_[234] = v_[233] * -1;
+ v_[235] = 0 - v_[105];
+ v_[236] = 0 - v_[25];
+ v_[237] = v_[235] * v_[236];
+ v_[238] = v_[234] + v_[237] * -0.35;
+ v_[239] = v_[235] * v_[29];
+ v_[240] = v_[237] * v_[28] + v_[239] * v_[111];
+ v_[241] = v_[237] * v_[31] + v_[239] * v_[28];
+ v_[242] = v_[238] * 0.881 + v_[240] * -0.110125 + v_[241] * -0.000881;
+ v_[243] = v_[242] + v_[234] * 3.146 + v_[237] * -0.47422804 + v_[239] * 0.0825825;
+ v_[244] = v_[243] * -1 + v_[233] * 3.44 + v_[235] * 0.5824264;
+ v_[245] = v_[187] * v_[26] + v_[188] * v_[29] + v_[174] * 3.44 + v_[175] * -0.5824264;
+ v_[246] = -0.3735 * v_[119];
+ v_[247] = v_[246] + v_[195] * -0.35;
+ v_[248] = v_[247] * 0.881 + v_[201] * -0.1104774 + v_[197] * 0.0004405;
+ v_[249] = v_[248] + v_[246] * 3.146 + v_[195] * -0.47422804 + v_[196] * -0.0825825;
+ v_[250] = v_[249] + v_[246] * 3.44 + v_[119] * 0.5824264;
+ v_[251] = v_[203] * v_[42] + v_[204] * v_[45] + v_[189] * 3.44 + v_[39] * -0.5824264;
+ v_[252] = -0.3735 * v_[128];
+ v_[253] = v_[252] * -1;
+ v_[254] = v_[253] + v_[216] * -0.35;
+ v_[255] = v_[254] * 0.881 + v_[222] * -0.1104774 + v_[218] * 0.0004405;
+ v_[256] = v_[255] + v_[253] * 3.146 + v_[216] * -0.47422804 + v_[217] * -0.0825825;
+ v_[257] = v_[256] * -1 + v_[252] * 3.44 + v_[214] * -0.5824264;
+ v_[258] = v_[224] * v_[65] + v_[225] * v_[68] + v_[205] * 3.44 + v_[206] * 0.5824264;
+ v_[259] = (0 - (1.1915559 + v_[231] * v_[96] + v_[232] * v_[104] + v_[244] * v_[105] + v_[245] * v_[118] + v_[250] * v_[119] + v_[251] * v_[127] + v_[257] * v_[128] + v_[258] * v_[136])) * -9.81;
+ v_[260] = 0 - v_[259];
+ v_[261] = (0 - (v_[231] * v_[0] + v_[232] * v_[96] + v_[244] * v_[143] + v_[245] * v_[144] + v_[250] * v_[39] + v_[251] * v_[119] + v_[257] * v_[145] + v_[258] * v_[146])) * -9.81;
+ v_[260] = v_[226] * v_[95] + v_[260] * v_[142] + (v_[260] * v_[141] + v_[261] * v_[148]) * 2.;
+ v_[259] = 0 - v_[259];
+ v_[262] = 0 - v_[226];
+ v_[259] = v_[261] * v_[95] + v_[259] * v_[150] + (v_[259] * v_[149] + v_[262] * v_[148]) * 2.;
+ v_[263] = 0 - v_[259];
+ v_[264] = v_[260] * v_[94] + v_[263] * v_[90];
+ v_[262] = v_[262] * v_[150] + v_[261] * v_[142];
+ v_[265] = 0 - v_[262];
+ v_[261] = (v_[261] * v_[149] + v_[226] * v_[141]) * 2.;
+ v_[226] = v_[265] * v_[90] + v_[261] * v_[94];
+ v_[266] = v_[262] * v_[94] + v_[261] * v_[90];
+ v_[267] = v_[260] * v_[90] + v_[259] * v_[94];
+ jac[1] = ((v_[264] * v_[87] + v_[226] * v_[92]) * v_[155] - (v_[266] * v_[87] + v_[267] * v_[92]) * v_[84]) * 0.5;
+ v_[268] = -0.3735 * v_[96];
+ v_[269] = 0.207 * v_[20] + v_[268] * v_[3] + v_[96] * v_[159];
+ v_[270] = 0.207 * v_[22] + v_[268] * v_[6] + v_[96] * v_[2];
+ v_[271] = v_[269] * v_[5] + v_[270] * v_[9] + v_[96] * v_[162];
+ v_[272] = 0 - v_[0];
+ v_[273] = v_[272] * v_[12];
+ v_[274] = v_[272] * v_[6];
+ v_[275] = v_[273] * v_[8] + v_[274] * v_[5];
+ v_[276] = v_[271] * 0.881 + v_[96] * 0.1104774 + v_[275] * -8.81e-05;
+ v_[277] = v_[269] * v_[8] + v_[270] * v_[5] + v_[96] * v_[168];
+ jac[956] = v_[271] * 0.1104774 + v_[277] * 0.0004405 + v_[96] * 0.026181;
+ v_[278] = v_[273] * v_[5] + v_[274] * v_[16];
+ v_[279] = v_[277] * 0.881 + v_[96] * 0.0004405 + v_[278] * 8.81e-05;
+ v_[280] = v_[276] * v_[5] + v_[279] * v_[8] + v_[269] * 3.146 + v_[96] * 0.47422804;
+ v_[281] = v_[276] * v_[9] + v_[279] * v_[5] + v_[270] * 3.146 + v_[96] * -0.0825825;
+ v_[282] = 0.3735 * v_[105];
+ v_[283] = 0.207 * v_[29] + v_[282] * v_[26] + v_[105] * v_[176];
+ v_[284] = 0.207 * v_[25] + v_[282] * v_[29] + v_[105] * v_[178];
+ v_[285] = v_[105] * -1;
+ v_[286] = v_[283] * v_[28] + v_[284] * v_[32] + v_[285] * v_[181];
+ v_[287] = v_[286] * 0.881 + v_[285] * 0.110125;
+ v_[288] = v_[283] * v_[31] + v_[284] * v_[28] + v_[285] * v_[184];
+ jac[902] = v_[286] * 0.110125 + v_[288] * 0.000881 + v_[285] * 0.026181;
+ v_[289] = v_[288] * 0.881 + v_[285] * 0.000881;
+ v_[290] = v_[287] * v_[28] + v_[289] * v_[31] + v_[283] * 3.146 + v_[285] * 0.47422804;
+ v_[291] = v_[287] * v_[32] + v_[289] * v_[28] + v_[284] * 3.146 + v_[285] * -0.0825825;
+ v_[292] = 0.3735 * v_[119];
+ v_[293] = 0.207 * v_[59] + v_[292] * v_[42] + v_[119] * v_[190];
+ v_[294] = 0.207 * v_[61] + v_[292] * v_[45] + v_[119] * v_[41];
+ v_[295] = v_[293] * v_[44] + v_[294] * v_[48] + v_[119] * v_[193];
+ v_[296] = 0 - v_[39];
+ v_[297] = v_[296] * v_[51];
+ v_[298] = v_[296] * v_[45];
+ v_[299] = v_[297] * v_[47] + v_[298] * v_[44];
+ v_[300] = v_[295] * 0.881 + v_[119] * 0.1104774 + v_[299] * 8.81e-05;
+ v_[301] = v_[293] * v_[47] + v_[294] * v_[44] + v_[119] * v_[199];
+ jac[848] = v_[295] * 0.1104774 + v_[301] * -0.0004405 + v_[119] * 0.026181;
+ v_[302] = v_[297] * v_[44] + v_[298] * v_[55];
+ v_[303] = v_[301] * 0.881 + v_[119] * -0.0004405 + v_[302] * -8.81e-05;
+ v_[304] = v_[300] * v_[44] + v_[303] * v_[47] + v_[293] * 3.146 + v_[119] * 0.47422804;
+ v_[305] = v_[300] * v_[48] + v_[303] * v_[44] + v_[294] * 3.146 + v_[119] * 0.0825825;
+ v_[306] = -0.3735 * v_[128];
+ v_[307] = 0.207 * v_[68] + v_[306] * v_[65] + v_[128] * v_[207];
+ v_[308] = 0.207 * v_[64] + v_[306] * v_[68] + v_[128] * v_[209];
+ v_[309] = v_[128] * -1;
+ v_[310] = v_[307] * v_[67] + v_[308] * v_[71] + v_[309] * v_[212];
+ v_[311] = v_[206] * v_[215];
+ v_[312] = v_[206] * v_[68];
+ v_[313] = v_[311] * v_[70] + v_[312] * v_[67];
+ v_[314] = v_[310] * 0.881 + v_[309] * 0.1104774 + v_[313] * 8.81e-05;
+ v_[315] = v_[307] * v_[70] + v_[308] * v_[67] + v_[309] * v_[220];
+ jac[794] = v_[310] * 0.1104774 + v_[315] * -0.0004405 + v_[309] * 0.026181;
+ v_[316] = v_[311] * v_[67] + v_[312] * v_[78];
+ v_[317] = v_[315] * 0.881 + v_[309] * -0.0004405 + v_[316] * -8.81e-05;
+ v_[318] = v_[314] * v_[67] + v_[317] * v_[70] + v_[307] * 3.146 + v_[309] * 0.47422804;
+ v_[319] = v_[314] * v_[71] + v_[317] * v_[67] + v_[308] * 3.146 + v_[309] * 0.0825825;
+ v_[320] = (0 - (0.0053433 + v_[280] * v_[20] + v_[281] * v_[22] + 0.71208 + v_[96] * -0.1466472 + (v_[290] * v_[29] + v_[291] * v_[25] + 0.71208 + v_[105] * -0.1466472) * -1 + v_[304] * v_[59] + v_[305] * v_[61] + 0.71208 + v_[119] * -0.1466472 + (v_[318] * v_[68] + v_[319] * v_[64] + 0.71208 + v_[128] * -0.1466472) * -1)) * -9.81;
+ v_[321] = -0.3735 * v_[0];
+ v_[322] = v_[321] + v_[273] * -0.35;
+ v_[323] = v_[322] * 0.881 + v_[278] * -0.1104774 + v_[275] * -0.0004405;
+ v_[324] = v_[323] + v_[321] * 3.146 + v_[273] * -0.47422804 + v_[274] * 0.0825825;
+ v_[325] = v_[324] + v_[321] * 3.44 + v_[272] * -0.5824264;
+ v_[326] = v_[280] * v_[3] + v_[281] * v_[6] + v_[268] * 3.44 + v_[96] * 0.5824264;
+ v_[23] = 0.3735 * v_[23];
+ v_[327] = v_[23] * -1;
+ v_[328] = v_[175] * v_[236];
+ v_[329] = v_[327] + v_[328] * -0.35;
+ v_[330] = v_[175] * v_[29];
+ v_[331] = v_[328] * v_[28] + v_[330] * v_[111];
+ v_[332] = v_[328] * v_[31] + v_[330] * v_[28];
+ v_[333] = v_[329] * 0.881 + v_[331] * -0.110125 + v_[332] * -0.000881;
+ v_[334] = v_[333] + v_[327] * 3.146 + v_[328] * -0.47422804 + v_[330] * 0.0825825;
+ v_[335] = v_[334] * -1 + v_[23] * 3.44 + v_[175] * 0.5824264;
+ v_[336] = v_[290] * v_[26] + v_[291] * v_[29] + v_[282] * 3.44 + v_[105] * -0.5824264;
+ v_[337] = 0.3735 * v_[39];
+ v_[338] = v_[337] + v_[297] * -0.35;
+ v_[339] = v_[338] * 0.881 + v_[302] * -0.1104774 + v_[299] * 0.0004405;
+ v_[340] = v_[339] + v_[337] * 3.146 + v_[297] * -0.47422804 + v_[298] * -0.0825825;
+ v_[341] = v_[340] + v_[337] * 3.44 + v_[296] * 0.5824264;
+ v_[342] = v_[304] * v_[42] + v_[305] * v_[45] + v_[292] * 3.44 + v_[119] * -0.5824264;
+ v_[62] = -0.3735 * v_[62];
+ v_[343] = v_[62] * -1;
+ v_[344] = v_[343] + v_[311] * -0.35;
+ v_[345] = v_[344] * 0.881 + v_[316] * -0.1104774 + v_[313] * 0.0004405;
+ v_[346] = v_[345] + v_[343] * 3.146 + v_[311] * -0.47422804 + v_[312] * -0.0825825;
+ v_[347] = v_[346] * -1 + v_[62] * 3.44 + v_[206] * -0.5824264;
+ v_[348] = v_[318] * v_[65] + v_[319] * v_[68] + v_[306] * 3.44 + v_[128] * 0.5824264;
+ v_[349] = (0 - (v_[325] * v_[96] + v_[326] * v_[104] + v_[335] * v_[105] + v_[336] * v_[118] + v_[341] * v_[119] + v_[342] * v_[127] + v_[347] * v_[128] + v_[348] * v_[136])) * -9.81;
+ v_[350] = 0 - v_[349];
+ v_[351] = (0 - (-1.1915559 + v_[325] * v_[0] + v_[326] * v_[96] + v_[335] * v_[143] + v_[336] * v_[144] + v_[341] * v_[39] + v_[342] * v_[119] + v_[347] * v_[145] + v_[348] * v_[146])) * -9.81;
+ v_[350] = v_[320] * v_[95] + v_[350] * v_[142] + (v_[350] * v_[141] + v_[351] * v_[148]) * 2.;
+ v_[349] = 0 - v_[349];
+ v_[352] = 0 - v_[320];
+ v_[349] = v_[351] * v_[95] + v_[349] * v_[150] + (v_[349] * v_[149] + v_[352] * v_[148]) * 2.;
+ v_[353] = 0 - v_[349];
+ v_[354] = v_[350] * v_[94] + v_[353] * v_[90];
+ v_[352] = v_[352] * v_[150] + v_[351] * v_[142];
+ v_[355] = 0 - v_[352];
+ v_[351] = (v_[351] * v_[149] + v_[320] * v_[141]) * 2.;
+ v_[320] = v_[355] * v_[90] + v_[351] * v_[94];
+ v_[356] = v_[352] * v_[94] + v_[351] * v_[90];
+ v_[357] = v_[350] * v_[90] + v_[349] * v_[94];
+ jac[2] = ((v_[354] * v_[87] + v_[320] * v_[92]) * v_[155] - (v_[356] * v_[87] + v_[357] * v_[92]) * v_[84]) * 0.5;
+ v_[358] = v_[20] * v_[5] + v_[22] * v_[9];
+ v_[359] = v_[358] * 0.881;
+ v_[360] = v_[20] * v_[8] + v_[22] * v_[5];
+ jac[957] = v_[358] * 0.1104774 + v_[360] * 0.0004405;
+ v_[361] = v_[360] * 0.881;
+ v_[362] = v_[359] * v_[5] + v_[361] * v_[8] + v_[20] * 3.146;
+ v_[363] = v_[359] * v_[9] + v_[361] * v_[5] + v_[22] * 3.146;
+ v_[364] = -1 * v_[29];
+ v_[365] = -1 * v_[25];
+ v_[366] = v_[364] * v_[28] + v_[365] * v_[32];
+ v_[367] = v_[366] * 0.881;
+ v_[368] = v_[364] * v_[31] + v_[365] * v_[28];
+ jac[903] = v_[366] * 0.110125 + v_[368] * 0.000881;
+ v_[369] = v_[368] * 0.881;
+ v_[370] = v_[367] * v_[28] + v_[369] * v_[31] + v_[364] * 3.146;
+ v_[371] = v_[367] * v_[32] + v_[369] * v_[28] + v_[365] * 3.146;
+ v_[372] = v_[59] * v_[44] + v_[61] * v_[48];
+ v_[373] = v_[372] * 0.881;
+ v_[374] = v_[59] * v_[47] + v_[61] * v_[44];
+ jac[849] = v_[372] * 0.1104774 + v_[374] * -0.0004405;
+ v_[375] = v_[374] * 0.881;
+ v_[376] = v_[373] * v_[44] + v_[375] * v_[47] + v_[59] * 3.146;
+ v_[377] = v_[373] * v_[48] + v_[375] * v_[44] + v_[61] * 3.146;
+ v_[378] = -1 * v_[68];
+ v_[379] = -1 * v_[64];
+ v_[380] = v_[378] * v_[67] + v_[379] * v_[71];
+ v_[381] = v_[380] * 0.881;
+ v_[382] = v_[378] * v_[70] + v_[379] * v_[67];
+ jac[795] = v_[380] * 0.1104774 + v_[382] * -0.0004405;
+ v_[383] = v_[382] * 0.881;
+ v_[384] = v_[381] * v_[67] + v_[383] * v_[70] + v_[378] * 3.146;
+ v_[385] = v_[381] * v_[71] + v_[383] * v_[67] + v_[379] * 3.146;
+ v_[386] = (0 - (53.433 + v_[362] * v_[20] + v_[363] * v_[22] + 3.44 + (v_[370] * v_[29] + v_[371] * v_[25] - 3.44) * -1 + v_[376] * v_[59] + v_[377] * v_[61] + 3.44 + (v_[384] * v_[68] + v_[385] * v_[64] - 3.44) * -1)) * -9.81;
+ v_[387] = v_[362] * v_[3] + v_[363] * v_[6];
+ v_[388] = v_[370] * v_[26] + v_[371] * v_[29];
+ v_[389] = v_[376] * v_[42] + v_[377] * v_[45];
+ v_[390] = v_[384] * v_[65] + v_[385] * v_[68];
+ v_[391] = (0 - (v_[387] * v_[104] + v_[388] * v_[118] + v_[389] * v_[127] + v_[390] * v_[136])) * -9.81;
+ v_[392] = 0 - v_[391];
+ v_[393] = (0 - (v_[387] * v_[96] + v_[388] * v_[144] + v_[389] * v_[119] + v_[390] * v_[146])) * -9.81;
+ v_[392] = v_[386] * v_[95] + v_[392] * v_[142] + (v_[392] * v_[141] + v_[393] * v_[148]) * 2.;
+ v_[391] = 0 - v_[391];
+ v_[394] = 0 - v_[386];
+ v_[391] = v_[393] * v_[95] + v_[391] * v_[150] + (v_[391] * v_[149] + v_[394] * v_[148]) * 2.;
+ v_[395] = 0 - v_[391];
+ v_[396] = v_[392] * v_[94] + v_[395] * v_[90];
+ v_[394] = v_[394] * v_[150] + v_[393] * v_[142];
+ v_[397] = 0 - v_[394];
+ v_[393] = (v_[393] * v_[149] + v_[386] * v_[141]) * 2.;
+ v_[386] = v_[397] * v_[90] + v_[393] * v_[94];
+ v_[398] = v_[394] * v_[94] + v_[393] * v_[90];
+ v_[399] = v_[392] * v_[90] + v_[391] * v_[94];
+ jac[3] = ((v_[396] * v_[87] + v_[386] * v_[92]) * v_[155] - (v_[398] * v_[87] + v_[399] * v_[92]) * v_[84]) * 0.5;
+ v_[400] = v_[96] * v_[3];
+ v_[401] = v_[96] * v_[6];
+ v_[402] = v_[400] * v_[5] + v_[401] * v_[9];
+ v_[403] = v_[402] * 0.881;
+ v_[404] = v_[400] * v_[8] + v_[401] * v_[5];
+ jac[958] = v_[402] * 0.1104774 + v_[404] * 0.0004405;
+ v_[405] = v_[404] * 0.881;
+ v_[406] = v_[403] * v_[5] + v_[405] * v_[8] + v_[400] * 3.146;
+ v_[407] = v_[403] * v_[9] + v_[405] * v_[5] + v_[401] * 3.146;
+ v_[408] = v_[144] * v_[26];
+ v_[409] = v_[144] * v_[29];
+ v_[410] = v_[408] * v_[28] + v_[409] * v_[32];
+ v_[411] = v_[410] * 0.881;
+ v_[412] = v_[408] * v_[31] + v_[409] * v_[28];
+ jac[904] = v_[410] * 0.110125 + v_[412] * 0.000881;
+ v_[413] = v_[412] * 0.881;
+ v_[414] = v_[411] * v_[28] + v_[413] * v_[31] + v_[408] * 3.146;
+ v_[415] = v_[411] * v_[32] + v_[413] * v_[28] + v_[409] * 3.146;
+ v_[416] = v_[119] * v_[42];
+ v_[417] = v_[119] * v_[45];
+ v_[418] = v_[416] * v_[44] + v_[417] * v_[48];
+ v_[419] = v_[418] * 0.881;
+ v_[420] = v_[416] * v_[47] + v_[417] * v_[44];
+ jac[850] = v_[418] * 0.1104774 + v_[420] * -0.0004405;
+ v_[421] = v_[420] * 0.881;
+ v_[422] = v_[419] * v_[44] + v_[421] * v_[47] + v_[416] * 3.146;
+ v_[423] = v_[419] * v_[48] + v_[421] * v_[44] + v_[417] * 3.146;
+ v_[424] = v_[146] * v_[65];
+ v_[425] = v_[146] * v_[68];
+ v_[426] = v_[424] * v_[67] + v_[425] * v_[71];
+ v_[427] = v_[426] * 0.881;
+ v_[428] = v_[424] * v_[70] + v_[425] * v_[67];
+ jac[796] = v_[426] * 0.1104774 + v_[428] * -0.0004405;
+ v_[429] = v_[428] * 0.881;
+ v_[430] = v_[427] * v_[67] + v_[429] * v_[70] + v_[424] * 3.146;
+ v_[431] = v_[427] * v_[71] + v_[429] * v_[67] + v_[425] * 3.146;
+ v_[432] = (0 - (v_[406] * v_[20] + v_[407] * v_[22] + (v_[414] * v_[29] + v_[415] * v_[25]) * -1 + v_[422] * v_[59] + v_[423] * v_[61] + (v_[430] * v_[68] + v_[431] * v_[64]) * -1)) * -9.81;
+ v_[433] = v_[0] * 0.881;
+ v_[434] = v_[433] + v_[0] * 3.146;
+ v_[435] = v_[434] + v_[0] * 3.44;
+ v_[436] = v_[406] * v_[3] + v_[407] * v_[6] + v_[96] * 3.44;
+ v_[437] = v_[143] * -1;
+ v_[438] = v_[437] * 0.881;
+ v_[439] = v_[438] + v_[437] * 3.146;
+ v_[440] = v_[439] * -1 + v_[143] * 3.44;
+ v_[441] = v_[414] * v_[26] + v_[415] * v_[29] + v_[144] * 3.44;
+ v_[442] = v_[39] * 0.881;
+ v_[443] = v_[442] + v_[39] * 3.146;
+ v_[444] = v_[443] + v_[39] * 3.44;
+ v_[445] = v_[422] * v_[42] + v_[423] * v_[45] + v_[119] * 3.44;
+ v_[446] = v_[145] * -1;
+ v_[447] = v_[446] * 0.881;
+ v_[448] = v_[447] + v_[446] * 3.146;
+ v_[449] = v_[448] * -1 + v_[145] * 3.44;
+ v_[450] = v_[430] * v_[65] + v_[431] * v_[68] + v_[146] * 3.44;
+ v_[451] = (0 - (v_[435] * v_[96] + v_[436] * v_[104] + v_[440] * v_[105] + v_[441] * v_[118] + v_[444] * v_[119] + v_[445] * v_[127] + v_[449] * v_[128] + v_[450] * v_[136])) * -9.81;
+ v_[452] = 0 - v_[451];
+ v_[453] = (0 - (53.433 + v_[435] * v_[0] + v_[436] * v_[96] + v_[440] * v_[143] + v_[441] * v_[144] + v_[444] * v_[39] + v_[445] * v_[119] + v_[449] * v_[145] + v_[450] * v_[146])) * -9.81;
+ v_[452] = v_[432] * v_[95] + v_[452] * v_[142] + (v_[452] * v_[141] + v_[453] * v_[148]) * 2.;
+ v_[451] = 0 - v_[451];
+ v_[454] = 0 - v_[432];
+ v_[451] = v_[453] * v_[95] + v_[451] * v_[150] + (v_[451] * v_[149] + v_[454] * v_[148]) * 2.;
+ v_[455] = 0 - v_[451];
+ v_[456] = v_[452] * v_[94] + v_[455] * v_[90];
+ v_[454] = v_[454] * v_[150] + v_[453] * v_[142];
+ v_[457] = 0 - v_[454];
+ v_[453] = (v_[453] * v_[149] + v_[432] * v_[141]) * 2.;
+ v_[432] = v_[457] * v_[90] + v_[453] * v_[94];
+ v_[458] = v_[454] * v_[94] + v_[453] * v_[90];
+ v_[459] = v_[452] * v_[90] + v_[451] * v_[94];
+ jac[4] = ((v_[456] * v_[87] + v_[432] * v_[92]) * v_[155] - (v_[458] * v_[87] + v_[459] * v_[92]) * v_[84]) * 0.5;
+ v_[460] = v_[104] * v_[3];
+ v_[461] = v_[104] * v_[6];
+ v_[462] = v_[460] * v_[5] + v_[461] * v_[9];
+ v_[463] = v_[462] * 0.881;
+ v_[464] = v_[460] * v_[8] + v_[461] * v_[5];
+ jac[959] = v_[462] * 0.1104774 + v_[464] * 0.0004405;
+ v_[465] = v_[464] * 0.881;
+ v_[466] = v_[463] * v_[5] + v_[465] * v_[8] + v_[460] * 3.146;
+ v_[467] = v_[463] * v_[9] + v_[465] * v_[5] + v_[461] * 3.146;
+ v_[468] = v_[118] * v_[26];
+ v_[469] = v_[118] * v_[29];
+ v_[470] = v_[468] * v_[28] + v_[469] * v_[32];
+ v_[471] = v_[470] * 0.881;
+ v_[472] = v_[468] * v_[31] + v_[469] * v_[28];
+ jac[905] = v_[470] * 0.110125 + v_[472] * 0.000881;
+ v_[473] = v_[472] * 0.881;
+ v_[474] = v_[471] * v_[28] + v_[473] * v_[31] + v_[468] * 3.146;
+ v_[475] = v_[471] * v_[32] + v_[473] * v_[28] + v_[469] * 3.146;
+ v_[476] = v_[127] * v_[42];
+ v_[477] = v_[127] * v_[45];
+ v_[478] = v_[476] * v_[44] + v_[477] * v_[48];
+ v_[479] = v_[478] * 0.881;
+ v_[480] = v_[476] * v_[47] + v_[477] * v_[44];
+ jac[851] = v_[478] * 0.1104774 + v_[480] * -0.0004405;
+ v_[481] = v_[480] * 0.881;
+ v_[482] = v_[479] * v_[44] + v_[481] * v_[47] + v_[476] * 3.146;
+ v_[483] = v_[479] * v_[48] + v_[481] * v_[44] + v_[477] * 3.146;
+ v_[484] = v_[136] * v_[65];
+ v_[485] = v_[136] * v_[68];
+ v_[486] = v_[484] * v_[67] + v_[485] * v_[71];
+ v_[487] = v_[486] * 0.881;
+ v_[488] = v_[484] * v_[70] + v_[485] * v_[67];
+ jac[797] = v_[486] * 0.1104774 + v_[488] * -0.0004405;
+ v_[489] = v_[488] * 0.881;
+ v_[490] = v_[487] * v_[67] + v_[489] * v_[70] + v_[484] * 3.146;
+ v_[491] = v_[487] * v_[71] + v_[489] * v_[67] + v_[485] * 3.146;
+ v_[492] = (0 - (v_[466] * v_[20] + v_[467] * v_[22] + (v_[474] * v_[29] + v_[475] * v_[25]) * -1 + v_[482] * v_[59] + v_[483] * v_[61] + (v_[490] * v_[68] + v_[491] * v_[64]) * -1)) * -9.81;
+ v_[493] = v_[96] * 0.881;
+ v_[494] = v_[493] + v_[96] * 3.146;
+ v_[495] = v_[494] + v_[96] * 3.44;
+ v_[496] = v_[466] * v_[3] + v_[467] * v_[6] + v_[104] * 3.44;
+ v_[497] = v_[105] * -1;
+ v_[498] = v_[497] * 0.881;
+ v_[499] = v_[498] + v_[497] * 3.146;
+ v_[500] = v_[499] * -1 + v_[105] * 3.44;
+ v_[501] = v_[474] * v_[26] + v_[475] * v_[29] + v_[118] * 3.44;
+ v_[502] = v_[119] * 0.881;
+ v_[503] = v_[502] + v_[119] * 3.146;
+ v_[504] = v_[503] + v_[119] * 3.44;
+ v_[505] = v_[482] * v_[42] + v_[483] * v_[45] + v_[127] * 3.44;
+ v_[506] = v_[128] * -1;
+ v_[507] = v_[506] * 0.881;
+ v_[508] = v_[507] + v_[506] * 3.146;
+ v_[509] = v_[508] * -1 + v_[128] * 3.44;
+ v_[510] = v_[490] * v_[65] + v_[491] * v_[68] + v_[136] * 3.44;
+ v_[511] = (0 - (53.433 + v_[495] * v_[96] + v_[496] * v_[104] + v_[500] * v_[105] + v_[501] * v_[118] + v_[504] * v_[119] + v_[505] * v_[127] + v_[509] * v_[128] + v_[510] * v_[136])) * -9.81;
+ v_[512] = 0 - v_[511];
+ v_[513] = (0 - (v_[495] * v_[0] + v_[496] * v_[96] + v_[500] * v_[143] + v_[501] * v_[144] + v_[504] * v_[39] + v_[505] * v_[119] + v_[509] * v_[145] + v_[510] * v_[146])) * -9.81;
+ v_[512] = v_[492] * v_[95] + v_[512] * v_[142] + (v_[512] * v_[141] + v_[513] * v_[148]) * 2.;
+ v_[511] = 0 - v_[511];
+ v_[514] = 0 - v_[492];
+ v_[511] = v_[513] * v_[95] + v_[511] * v_[150] + (v_[511] * v_[149] + v_[514] * v_[148]) * 2.;
+ v_[515] = 0 - v_[511];
+ v_[516] = v_[512] * v_[94] + v_[515] * v_[90];
+ v_[514] = v_[514] * v_[150] + v_[513] * v_[142];
+ v_[517] = 0 - v_[514];
+ v_[513] = (v_[513] * v_[149] + v_[492] * v_[141]) * 2.;
+ v_[492] = v_[517] * v_[90] + v_[513] * v_[94];
+ v_[518] = v_[514] * v_[94] + v_[513] * v_[90];
+ v_[519] = v_[512] * v_[90] + v_[511] * v_[94];
+ jac[5] = ((v_[516] * v_[87] + v_[492] * v_[92]) * v_[155] - (v_[518] * v_[87] + v_[519] * v_[92]) * v_[84]) * 0.5;
+ v_[520] = v_[68] * v_[70] + v_[64] * v_[67];
+ v_[521] = v_[520] * 8.81e-05;
+ v_[522] = v_[68] * v_[67] + v_[64] * v_[78];
+ v_[523] = v_[522] * -8.81e-05;
+ jac[780] = v_[521] * v_[212] + v_[523] * v_[220] + v_[68] * 2.1e-05 + v_[64] * 0.000102;
+ v_[524] = v_[521] * v_[67] + v_[523] * v_[70];
+ v_[525] = v_[521] * v_[71] + v_[523] * v_[67];
+ v_[526] = (0 - (v_[524] * v_[68] + v_[525] * v_[64]) * -1) * -9.81;
+ v_[527] = -0.08 + v_[68] * -0.35;
+ v_[528] = v_[527] * 0.881 + v_[522] * -0.1104774 + v_[520] * 0.0004405;
+ v_[529] = v_[528] - 0.25168 + v_[68] * -0.47422804 + v_[64] * -0.0825825;
+ v_[530] = v_[529] * -1 + 0.1466472;
+ v_[531] = v_[524] * v_[65] + v_[525] * v_[68];
+ v_[532] = (0 - (v_[530] * v_[128] + v_[531] * v_[136])) * -9.81;
+ v_[533] = 0 - v_[532];
+ v_[534] = (0 - (v_[530] * v_[145] + v_[531] * v_[146])) * -9.81;
+ v_[533] = v_[526] * v_[95] + v_[533] * v_[142] + (v_[533] * v_[141] + v_[534] * v_[148]) * 2.;
+ v_[532] = 0 - v_[532];
+ v_[535] = 0 - v_[526];
+ v_[532] = v_[534] * v_[95] + v_[532] * v_[150] + (v_[532] * v_[149] + v_[535] * v_[148]) * 2.;
+ v_[536] = 0 - v_[532];
+ v_[537] = v_[533] * v_[94] + v_[536] * v_[90];
+ v_[535] = v_[535] * v_[150] + v_[534] * v_[142];
+ v_[538] = 0 - v_[535];
+ v_[534] = (v_[534] * v_[149] + v_[526] * v_[141]) * 2.;
+ v_[526] = v_[538] * v_[90] + v_[534] * v_[94];
+ v_[539] = v_[535] * v_[94] + v_[534] * v_[90];
+ v_[540] = v_[533] * v_[90] + v_[532] * v_[94];
+ jac[6] = ((v_[537] * v_[87] + v_[526] * v_[92]) * v_[155] - (v_[539] * v_[87] + v_[540] * v_[92]) * v_[84]) * 0.5;
+ v_[541] = v_[212] * 0.881 + 0.1104774;
+ v_[542] = v_[220] * 0.881 - 0.0004405;
+ v_[543] = v_[541] * v_[67] + v_[542] * v_[70] + 0.47422804;
+ v_[544] = v_[541] * v_[71] + v_[542] * v_[67] + 0.0825825;
+ v_[545] = (0 - (v_[543] * v_[68] + v_[544] * v_[64]) * -1) * -9.81;
+ v_[546] = v_[543] * v_[65] + v_[544] * v_[68];
+ v_[547] = (0 - v_[546] * v_[136]) * -9.81;
+ v_[548] = 0 - v_[547];
+ v_[549] = (0 - v_[546] * v_[146]) * -9.81;
+ v_[548] = v_[545] * v_[95] + v_[548] * v_[142] + (v_[548] * v_[141] + v_[549] * v_[148]) * 2.;
+ v_[547] = 0 - v_[547];
+ v_[550] = 0 - v_[545];
+ v_[547] = v_[549] * v_[95] + v_[547] * v_[150] + (v_[547] * v_[149] + v_[550] * v_[148]) * 2.;
+ v_[551] = 0 - v_[547];
+ v_[552] = v_[548] * v_[94] + v_[551] * v_[90];
+ v_[550] = v_[550] * v_[150] + v_[549] * v_[142];
+ v_[553] = 0 - v_[550];
+ v_[549] = (v_[549] * v_[149] + v_[545] * v_[141]) * 2.;
+ v_[545] = v_[553] * v_[90] + v_[549] * v_[94];
+ v_[554] = v_[550] * v_[94] + v_[549] * v_[90];
+ v_[555] = v_[548] * v_[90] + v_[547] * v_[94];
+ jac[7] = ((v_[552] * v_[87] + v_[545] * v_[92]) * v_[155] - (v_[554] * v_[87] + v_[555] * v_[92]) * v_[84]) * 0.5;
+ v_[556] = 0.1104774 * v_[67] + -0.0004405 * v_[70];
+ v_[557] = 0.1104774 * v_[71] + -0.0004405 * v_[67];
+ v_[558] = (0 - (v_[556] * v_[68] + v_[557] * v_[64]) * -1) * -9.81;
+ v_[559] = v_[556] * v_[65] + v_[557] * v_[68];
+ v_[560] = (0 - v_[559] * v_[136]) * -9.81;
+ v_[561] = 0 - v_[560];
+ v_[562] = (0 - v_[559] * v_[146]) * -9.81;
+ v_[561] = v_[558] * v_[95] + v_[561] * v_[142] + (v_[561] * v_[141] + v_[562] * v_[148]) * 2.;
+ v_[560] = 0 - v_[560];
+ v_[563] = 0 - v_[558];
+ v_[560] = v_[562] * v_[95] + v_[560] * v_[150] + (v_[560] * v_[149] + v_[563] * v_[148]) * 2.;
+ v_[564] = 0 - v_[560];
+ v_[565] = v_[561] * v_[94] + v_[564] * v_[90];
+ v_[563] = v_[563] * v_[150] + v_[562] * v_[142];
+ v_[566] = 0 - v_[563];
+ v_[562] = (v_[562] * v_[149] + v_[558] * v_[141]) * 2.;
+ v_[558] = v_[566] * v_[90] + v_[562] * v_[94];
+ v_[567] = v_[563] * v_[94] + v_[562] * v_[90];
+ v_[568] = v_[561] * v_[90] + v_[560] * v_[94];
+ jac[8] = ((v_[565] * v_[87] + v_[558] * v_[92]) * v_[155] - (v_[567] * v_[87] + v_[568] * v_[92]) * v_[84]) * 0.5;
+ v_[569] = v_[50] * v_[47] + v_[51] * v_[44];
+ v_[570] = v_[569] * 8.81e-05;
+ v_[571] = v_[50] * v_[44] + v_[51] * v_[55];
+ v_[572] = v_[571] * -8.81e-05;
+ jac[837] = v_[570] * v_[193] + v_[572] * v_[199] + v_[50] * 2.1e-05 + v_[51] * 0.000102;
+ v_[573] = v_[570] * v_[44] + v_[572] * v_[47];
+ v_[574] = v_[570] * v_[48] + v_[572] * v_[44];
+ v_[575] = (0 - (v_[573] * v_[59] + v_[574] * v_[61])) * -9.81;
+ v_[576] = 0.08 + v_[50] * -0.35;
+ v_[577] = v_[576] * 0.881 + v_[571] * -0.1104774 + v_[569] * 0.0004405;
+ v_[578] = v_[577] + 0.25168 + v_[50] * -0.47422804 + v_[51] * -0.0825825;
+ v_[579] = v_[578] + 0.1466472;
+ v_[580] = v_[573] * v_[42] + v_[574] * v_[45];
+ v_[581] = (0 - (v_[579] * v_[119] + v_[580] * v_[127])) * -9.81;
+ v_[582] = 0 - v_[581];
+ v_[583] = (0 - (v_[579] * v_[39] + v_[580] * v_[119])) * -9.81;
+ v_[582] = v_[575] * v_[95] + v_[582] * v_[142] + (v_[582] * v_[141] + v_[583] * v_[148]) * 2.;
+ v_[581] = 0 - v_[581];
+ v_[584] = 0 - v_[575];
+ v_[581] = v_[583] * v_[95] + v_[581] * v_[150] + (v_[581] * v_[149] + v_[584] * v_[148]) * 2.;
+ v_[585] = 0 - v_[581];
+ v_[586] = v_[582] * v_[94] + v_[585] * v_[90];
+ v_[584] = v_[584] * v_[150] + v_[583] * v_[142];
+ v_[587] = 0 - v_[584];
+ v_[583] = (v_[583] * v_[149] + v_[575] * v_[141]) * 2.;
+ v_[575] = v_[587] * v_[90] + v_[583] * v_[94];
+ v_[588] = v_[584] * v_[94] + v_[583] * v_[90];
+ v_[589] = v_[582] * v_[90] + v_[581] * v_[94];
+ jac[9] = ((v_[586] * v_[87] + v_[575] * v_[92]) * v_[155] - (v_[588] * v_[87] + v_[589] * v_[92]) * v_[84]) * 0.5;
+ v_[590] = v_[193] * 0.881 + 0.1104774;
+ v_[591] = v_[199] * 0.881 - 0.0004405;
+ v_[592] = v_[590] * v_[44] + v_[591] * v_[47] + 0.47422804;
+ v_[593] = v_[590] * v_[48] + v_[591] * v_[44] + 0.0825825;
+ v_[594] = (0 - (v_[592] * v_[59] + v_[593] * v_[61])) * -9.81;
+ v_[595] = v_[592] * v_[42] + v_[593] * v_[45];
+ v_[596] = (0 - v_[595] * v_[127]) * -9.81;
+ v_[597] = 0 - v_[596];
+ v_[598] = (0 - v_[595] * v_[119]) * -9.81;
+ v_[597] = v_[594] * v_[95] + v_[597] * v_[142] + (v_[597] * v_[141] + v_[598] * v_[148]) * 2.;
+ v_[596] = 0 - v_[596];
+ v_[599] = 0 - v_[594];
+ v_[596] = v_[598] * v_[95] + v_[596] * v_[150] + (v_[596] * v_[149] + v_[599] * v_[148]) * 2.;
+ v_[600] = 0 - v_[596];
+ v_[601] = v_[597] * v_[94] + v_[600] * v_[90];
+ v_[599] = v_[599] * v_[150] + v_[598] * v_[142];
+ v_[602] = 0 - v_[599];
+ v_[598] = (v_[598] * v_[149] + v_[594] * v_[141]) * 2.;
+ v_[594] = v_[602] * v_[90] + v_[598] * v_[94];
+ v_[603] = v_[599] * v_[94] + v_[598] * v_[90];
+ v_[604] = v_[597] * v_[90] + v_[596] * v_[94];
+ jac[10] = ((v_[601] * v_[87] + v_[594] * v_[92]) * v_[155] - (v_[603] * v_[87] + v_[604] * v_[92]) * v_[84]) * 0.5;
+ v_[605] = 0.1104774 * v_[44] + -0.0004405 * v_[47];
+ v_[606] = 0.1104774 * v_[48] + -0.0004405 * v_[44];
+ v_[607] = (0 - (v_[605] * v_[59] + v_[606] * v_[61])) * -9.81;
+ v_[608] = v_[605] * v_[42] + v_[606] * v_[45];
+ v_[609] = (0 - v_[608] * v_[127]) * -9.81;
+ v_[610] = 0 - v_[609];
+ v_[611] = (0 - v_[608] * v_[119]) * -9.81;
+ v_[610] = v_[607] * v_[95] + v_[610] * v_[142] + (v_[610] * v_[141] + v_[611] * v_[148]) * 2.;
+ v_[609] = 0 - v_[609];
+ v_[612] = 0 - v_[607];
+ v_[609] = v_[611] * v_[95] + v_[609] * v_[150] + (v_[609] * v_[149] + v_[612] * v_[148]) * 2.;
+ v_[613] = 0 - v_[609];
+ v_[614] = v_[610] * v_[94] + v_[613] * v_[90];
+ v_[612] = v_[612] * v_[150] + v_[611] * v_[142];
+ v_[615] = 0 - v_[612];
+ v_[611] = (v_[611] * v_[149] + v_[607] * v_[141]) * 2.;
+ v_[607] = v_[615] * v_[90] + v_[611] * v_[94];
+ v_[616] = v_[612] * v_[94] + v_[611] * v_[90];
+ v_[617] = v_[610] * v_[90] + v_[609] * v_[94];
+ jac[11] = ((v_[614] * v_[87] + v_[607] * v_[92]) * v_[155] - (v_[616] * v_[87] + v_[617] * v_[92]) * v_[84]) * 0.5;
+ v_[618] = -0.08 + v_[29] * -0.35;
+ v_[619] = v_[29] * v_[28] + v_[25] * v_[111];
+ v_[620] = v_[29] * v_[31] + v_[25] * v_[28];
+ v_[621] = v_[618] * 0.881 + v_[619] * -0.110125 + v_[620] * -0.000881;
+ v_[622] = v_[621] - 0.25168 + v_[29] * -0.47422804 + v_[25] * 0.0825825;
+ v_[623] = v_[622] * -1 + 0.1466472;
+ v_[624] = (0 - v_[623] * v_[105]) * -9.81;
+ v_[625] = 0 - v_[624];
+ v_[626] = (0 - v_[623] * v_[143]) * -9.81;
+ v_[625] = v_[625] * v_[142] + (v_[625] * v_[141] + v_[626] * v_[148]) * 2.;
+ v_[624] = 0 - v_[624];
+ v_[624] = v_[626] * v_[95] + v_[624] * v_[150] + v_[624] * v_[149] * 2.;
+ v_[627] = 0 - v_[624];
+ v_[628] = v_[625] * v_[94] + v_[627] * v_[90];
+ v_[629] = v_[626] * v_[142];
+ v_[630] = 0 - v_[629];
+ v_[626] = v_[626] * v_[149] * 2.;
+ v_[631] = v_[630] * v_[90] + v_[626] * v_[94];
+ v_[632] = v_[629] * v_[94] + v_[626] * v_[90];
+ v_[633] = v_[625] * v_[90] + v_[624] * v_[94];
+ jac[12] = ((v_[628] * v_[87] + v_[631] * v_[92]) * v_[155] - (v_[632] * v_[87] + v_[633] * v_[92]) * v_[84]) * 0.5;
+ v_[634] = v_[181] * 0.881 + 0.110125;
+ v_[635] = v_[184] * 0.881 + 0.000881;
+ v_[636] = v_[634] * v_[28] + v_[635] * v_[31] + 0.47422804;
+ v_[637] = v_[634] * v_[32] + v_[635] * v_[28] - 0.0825825;
+ v_[638] = (0 - (v_[636] * v_[29] + v_[637] * v_[25]) * -1) * -9.81;
+ v_[639] = v_[636] * v_[26] + v_[637] * v_[29];
+ v_[640] = (0 - v_[639] * v_[118]) * -9.81;
+ v_[641] = 0 - v_[640];
+ v_[642] = (0 - v_[639] * v_[144]) * -9.81;
+ v_[641] = v_[638] * v_[95] + v_[641] * v_[142] + (v_[641] * v_[141] + v_[642] * v_[148]) * 2.;
+ v_[640] = 0 - v_[640];
+ v_[643] = 0 - v_[638];
+ v_[640] = v_[642] * v_[95] + v_[640] * v_[150] + (v_[640] * v_[149] + v_[643] * v_[148]) * 2.;
+ v_[644] = 0 - v_[640];
+ v_[645] = v_[641] * v_[94] + v_[644] * v_[90];
+ v_[643] = v_[643] * v_[150] + v_[642] * v_[142];
+ v_[646] = 0 - v_[643];
+ v_[642] = (v_[642] * v_[149] + v_[638] * v_[141]) * 2.;
+ v_[638] = v_[646] * v_[90] + v_[642] * v_[94];
+ v_[647] = v_[643] * v_[94] + v_[642] * v_[90];
+ v_[648] = v_[641] * v_[90] + v_[640] * v_[94];
+ jac[13] = ((v_[645] * v_[87] + v_[638] * v_[92]) * v_[155] - (v_[647] * v_[87] + v_[648] * v_[92]) * v_[84]) * 0.5;
+ v_[649] = 0.110125 * v_[28] + 0.000881 * v_[31];
+ v_[650] = 0.110125 * v_[32] + 0.000881 * v_[28];
+ v_[651] = (0 - (v_[649] * v_[29] + v_[650] * v_[25]) * -1) * -9.81;
+ v_[652] = v_[649] * v_[26] + v_[650] * v_[29];
+ v_[653] = (0 - v_[652] * v_[118]) * -9.81;
+ v_[654] = 0 - v_[653];
+ v_[655] = (0 - v_[652] * v_[144]) * -9.81;
+ v_[654] = v_[651] * v_[95] + v_[654] * v_[142] + (v_[654] * v_[141] + v_[655] * v_[148]) * 2.;
+ v_[653] = 0 - v_[653];
+ v_[656] = 0 - v_[651];
+ v_[653] = v_[655] * v_[95] + v_[653] * v_[150] + (v_[653] * v_[149] + v_[656] * v_[148]) * 2.;
+ v_[657] = 0 - v_[653];
+ v_[658] = v_[654] * v_[94] + v_[657] * v_[90];
+ v_[656] = v_[656] * v_[150] + v_[655] * v_[142];
+ v_[659] = 0 - v_[656];
+ v_[655] = (v_[655] * v_[149] + v_[651] * v_[141]) * 2.;
+ v_[651] = v_[659] * v_[90] + v_[655] * v_[94];
+ v_[660] = v_[656] * v_[94] + v_[655] * v_[90];
+ v_[661] = v_[654] * v_[90] + v_[653] * v_[94];
+ jac[14] = ((v_[658] * v_[87] + v_[651] * v_[92]) * v_[155] - (v_[660] * v_[87] + v_[661] * v_[92]) * v_[84]) * 0.5;
+ v_[662] = v_[11] * v_[8] + v_[12] * v_[5];
+ v_[663] = v_[662] * -8.81e-05;
+ v_[664] = v_[11] * v_[5] + v_[12] * v_[16];
+ v_[665] = v_[664] * 8.81e-05;
+ jac[951] = v_[663] * v_[162] + v_[665] * v_[168] + v_[11] * 2.1e-05 + v_[12] * -0.000102;
+ v_[666] = v_[663] * v_[5] + v_[665] * v_[8];
+ v_[667] = v_[663] * v_[9] + v_[665] * v_[5];
+ v_[668] = (0 - (v_[666] * v_[20] + v_[667] * v_[22])) * -9.81;
+ v_[669] = 0.08 + v_[11] * -0.35;
+ v_[670] = v_[669] * 0.881 + v_[664] * -0.1104774 + v_[662] * -0.0004405;
+ v_[671] = v_[670] + 0.25168 + v_[11] * -0.47422804 + v_[12] * 0.0825825;
+ v_[672] = v_[671] + 0.1466472;
+ v_[673] = v_[666] * v_[3] + v_[667] * v_[6];
+ v_[674] = (0 - (v_[672] * v_[96] + v_[673] * v_[104])) * -9.81;
+ v_[675] = 0 - v_[674];
+ v_[676] = (0 - (v_[672] * v_[0] + v_[673] * v_[96])) * -9.81;
+ v_[675] = v_[668] * v_[95] + v_[675] * v_[142] + (v_[675] * v_[141] + v_[676] * v_[148]) * 2.;
+ v_[674] = 0 - v_[674];
+ v_[677] = 0 - v_[668];
+ v_[674] = v_[676] * v_[95] + v_[674] * v_[150] + (v_[674] * v_[149] + v_[677] * v_[148]) * 2.;
+ v_[678] = 0 - v_[674];
+ v_[679] = v_[675] * v_[94] + v_[678] * v_[90];
+ v_[677] = v_[677] * v_[150] + v_[676] * v_[142];
+ v_[680] = 0 - v_[677];
+ v_[676] = (v_[676] * v_[149] + v_[668] * v_[141]) * 2.;
+ v_[668] = v_[680] * v_[90] + v_[676] * v_[94];
+ v_[681] = v_[677] * v_[94] + v_[676] * v_[90];
+ v_[682] = v_[675] * v_[90] + v_[674] * v_[94];
+ jac[15] = ((v_[679] * v_[87] + v_[668] * v_[92]) * v_[155] - (v_[681] * v_[87] + v_[682] * v_[92]) * v_[84]) * 0.5;
+ v_[683] = v_[162] * 0.881 + 0.1104774;
+ v_[684] = v_[168] * 0.881 + 0.0004405;
+ v_[685] = v_[683] * v_[5] + v_[684] * v_[8] + 0.47422804;
+ v_[686] = v_[683] * v_[9] + v_[684] * v_[5] - 0.0825825;
+ v_[687] = (0 - (v_[685] * v_[20] + v_[686] * v_[22])) * -9.81;
+ v_[688] = v_[685] * v_[3] + v_[686] * v_[6];
+ v_[689] = (0 - v_[688] * v_[104]) * -9.81;
+ v_[690] = 0 - v_[689];
+ v_[691] = (0 - v_[688] * v_[96]) * -9.81;
+ v_[690] = v_[687] * v_[95] + v_[690] * v_[142] + (v_[690] * v_[141] + v_[691] * v_[148]) * 2.;
+ v_[689] = 0 - v_[689];
+ v_[692] = 0 - v_[687];
+ v_[689] = v_[691] * v_[95] + v_[689] * v_[150] + (v_[689] * v_[149] + v_[692] * v_[148]) * 2.;
+ v_[693] = 0 - v_[689];
+ v_[694] = v_[690] * v_[94] + v_[693] * v_[90];
+ v_[692] = v_[692] * v_[150] + v_[691] * v_[142];
+ v_[695] = 0 - v_[692];
+ v_[691] = (v_[691] * v_[149] + v_[687] * v_[141]) * 2.;
+ v_[687] = v_[695] * v_[90] + v_[691] * v_[94];
+ v_[696] = v_[692] * v_[94] + v_[691] * v_[90];
+ v_[697] = v_[690] * v_[90] + v_[689] * v_[94];
+ jac[16] = ((v_[694] * v_[87] + v_[687] * v_[92]) * v_[155] - (v_[696] * v_[87] + v_[697] * v_[92]) * v_[84]) * 0.5;
+ v_[698] = 0.1104774 * v_[5] + 0.0004405 * v_[8];
+ v_[699] = 0.1104774 * v_[9] + 0.0004405 * v_[5];
+ v_[700] = (0 - (v_[698] * v_[20] + v_[699] * v_[22])) * -9.81;
+ v_[701] = v_[698] * v_[3] + v_[699] * v_[6];
+ v_[702] = (0 - v_[701] * v_[104]) * -9.81;
+ v_[703] = 0 - v_[702];
+ v_[704] = (0 - v_[701] * v_[96]) * -9.81;
+ v_[703] = v_[700] * v_[95] + v_[703] * v_[142] + (v_[703] * v_[141] + v_[704] * v_[148]) * 2.;
+ v_[702] = 0 - v_[702];
+ v_[705] = 0 - v_[700];
+ v_[702] = v_[704] * v_[95] + v_[702] * v_[150] + (v_[702] * v_[149] + v_[705] * v_[148]) * 2.;
+ v_[706] = 0 - v_[702];
+ v_[707] = v_[703] * v_[94] + v_[706] * v_[90];
+ v_[705] = v_[705] * v_[150] + v_[704] * v_[142];
+ v_[708] = 0 - v_[705];
+ v_[704] = (v_[704] * v_[149] + v_[700] * v_[141]) * 2.;
+ v_[700] = v_[708] * v_[90] + v_[704] * v_[94];
+ v_[709] = v_[705] * v_[94] + v_[704] * v_[90];
+ v_[94] = v_[703] * v_[90] + v_[702] * v_[94];
+ jac[17] = ((v_[707] * v_[87] + v_[700] * v_[92]) * v_[155] - (v_[709] * v_[87] + v_[94] * v_[92]) * v_[84]) * 0.5;
+ v_[84] = cos(v_[86]);
+ v_[86] = sin(v_[86]);
+ jac[18] = ((v_[157] * v_[85] + v_[83] * v_[91]) * v_[84] - (v_[156] * v_[85] + v_[153] * v_[91]) * v_[86]) * 0.5;
+ jac[19] = ((v_[267] * v_[85] + v_[226] * v_[91]) * v_[84] - (v_[266] * v_[85] + v_[264] * v_[91]) * v_[86]) * 0.5;
+ jac[20] = ((v_[357] * v_[85] + v_[320] * v_[91]) * v_[84] - (v_[356] * v_[85] + v_[354] * v_[91]) * v_[86]) * 0.5;
+ jac[21] = ((v_[399] * v_[85] + v_[386] * v_[91]) * v_[84] - (v_[398] * v_[85] + v_[396] * v_[91]) * v_[86]) * 0.5;
+ jac[22] = ((v_[459] * v_[85] + v_[432] * v_[91]) * v_[84] - (v_[458] * v_[85] + v_[456] * v_[91]) * v_[86]) * 0.5;
+ jac[23] = ((v_[519] * v_[85] + v_[492] * v_[91]) * v_[84] - (v_[518] * v_[85] + v_[516] * v_[91]) * v_[86]) * 0.5;
+ jac[24] = ((v_[540] * v_[85] + v_[526] * v_[91]) * v_[84] - (v_[539] * v_[85] + v_[537] * v_[91]) * v_[86]) * 0.5;
+ jac[25] = ((v_[555] * v_[85] + v_[545] * v_[91]) * v_[84] - (v_[554] * v_[85] + v_[552] * v_[91]) * v_[86]) * 0.5;
+ jac[26] = ((v_[568] * v_[85] + v_[558] * v_[91]) * v_[84] - (v_[567] * v_[85] + v_[565] * v_[91]) * v_[86]) * 0.5;
+ jac[27] = ((v_[589] * v_[85] + v_[575] * v_[91]) * v_[84] - (v_[588] * v_[85] + v_[586] * v_[91]) * v_[86]) * 0.5;
+ jac[28] = ((v_[604] * v_[85] + v_[594] * v_[91]) * v_[84] - (v_[603] * v_[85] + v_[601] * v_[91]) * v_[86]) * 0.5;
+ jac[29] = ((v_[617] * v_[85] + v_[607] * v_[91]) * v_[84] - (v_[616] * v_[85] + v_[614] * v_[91]) * v_[86]) * 0.5;
+ jac[30] = ((v_[633] * v_[85] + v_[631] * v_[91]) * v_[84] - (v_[632] * v_[85] + v_[628] * v_[91]) * v_[86]) * 0.5;
+ jac[31] = ((v_[648] * v_[85] + v_[638] * v_[91]) * v_[84] - (v_[647] * v_[85] + v_[645] * v_[91]) * v_[86]) * 0.5;
+ jac[32] = ((v_[661] * v_[85] + v_[651] * v_[91]) * v_[84] - (v_[660] * v_[85] + v_[658] * v_[91]) * v_[86]) * 0.5;
+ jac[33] = ((v_[682] * v_[85] + v_[668] * v_[91]) * v_[84] - (v_[681] * v_[85] + v_[679] * v_[91]) * v_[86]) * 0.5;
+ jac[34] = ((v_[697] * v_[85] + v_[687] * v_[91]) * v_[84] - (v_[696] * v_[85] + v_[694] * v_[91]) * v_[86]) * 0.5;
+ jac[35] = ((v_[94] * v_[85] + v_[700] * v_[91]) * v_[84] - (v_[709] * v_[85] + v_[707] * v_[91]) * v_[86]) * 0.5;
+ v_[86] = cos(v_[89]);
+ v_[89] = sin(v_[89]);
+ jac[36] = ((v_[154] * v_[93] + v_[138] * v_[140] + v_[152] * v_[139] + v_[147] * v_[88]) * v_[86] - (v_[151] * v_[88] + v_[138] * v_[139] + v_[137] * v_[140] + v_[147] * v_[93]) * v_[89]) * 0.5;
+ jac[37] = ((v_[265] * v_[93] + v_[260] * v_[140] + v_[263] * v_[139] + v_[261] * v_[88]) * v_[86] - (v_[262] * v_[88] + v_[260] * v_[139] + v_[259] * v_[140] + v_[261] * v_[93]) * v_[89]) * 0.5;
+ jac[38] = ((v_[355] * v_[93] + v_[350] * v_[140] + v_[353] * v_[139] + v_[351] * v_[88]) * v_[86] - (v_[352] * v_[88] + v_[350] * v_[139] + v_[349] * v_[140] + v_[351] * v_[93]) * v_[89]) * 0.5;
+ jac[39] = ((v_[397] * v_[93] + v_[392] * v_[140] + v_[395] * v_[139] + v_[393] * v_[88]) * v_[86] - (v_[394] * v_[88] + v_[392] * v_[139] + v_[391] * v_[140] + v_[393] * v_[93]) * v_[89]) * 0.5;
+ jac[40] = ((v_[457] * v_[93] + v_[452] * v_[140] + v_[455] * v_[139] + v_[453] * v_[88]) * v_[86] - (v_[454] * v_[88] + v_[452] * v_[139] + v_[451] * v_[140] + v_[453] * v_[93]) * v_[89]) * 0.5;
+ jac[41] = ((v_[517] * v_[93] + v_[512] * v_[140] + v_[515] * v_[139] + v_[513] * v_[88]) * v_[86] - (v_[514] * v_[88] + v_[512] * v_[139] + v_[511] * v_[140] + v_[513] * v_[93]) * v_[89]) * 0.5;
+ jac[42] = ((v_[538] * v_[93] + v_[533] * v_[140] + v_[536] * v_[139] + v_[534] * v_[88]) * v_[86] - (v_[535] * v_[88] + v_[533] * v_[139] + v_[532] * v_[140] + v_[534] * v_[93]) * v_[89]) * 0.5;
+ jac[43] = ((v_[553] * v_[93] + v_[548] * v_[140] + v_[551] * v_[139] + v_[549] * v_[88]) * v_[86] - (v_[550] * v_[88] + v_[548] * v_[139] + v_[547] * v_[140] + v_[549] * v_[93]) * v_[89]) * 0.5;
+ jac[44] = ((v_[566] * v_[93] + v_[561] * v_[140] + v_[564] * v_[139] + v_[562] * v_[88]) * v_[86] - (v_[563] * v_[88] + v_[561] * v_[139] + v_[560] * v_[140] + v_[562] * v_[93]) * v_[89]) * 0.5;
+ jac[45] = ((v_[587] * v_[93] + v_[582] * v_[140] + v_[585] * v_[139] + v_[583] * v_[88]) * v_[86] - (v_[584] * v_[88] + v_[582] * v_[139] + v_[581] * v_[140] + v_[583] * v_[93]) * v_[89]) * 0.5;
+ jac[46] = ((v_[602] * v_[93] + v_[597] * v_[140] + v_[600] * v_[139] + v_[598] * v_[88]) * v_[86] - (v_[599] * v_[88] + v_[597] * v_[139] + v_[596] * v_[140] + v_[598] * v_[93]) * v_[89]) * 0.5;
+ jac[47] = ((v_[615] * v_[93] + v_[610] * v_[140] + v_[613] * v_[139] + v_[611] * v_[88]) * v_[86] - (v_[612] * v_[88] + v_[610] * v_[139] + v_[609] * v_[140] + v_[611] * v_[93]) * v_[89]) * 0.5;
+ jac[48] = ((v_[630] * v_[93] + v_[625] * v_[140] + v_[627] * v_[139] + v_[626] * v_[88]) * v_[86] - (v_[629] * v_[88] + v_[625] * v_[139] + v_[624] * v_[140] + v_[626] * v_[93]) * v_[89]) * 0.5;
+ jac[49] = ((v_[646] * v_[93] + v_[641] * v_[140] + v_[644] * v_[139] + v_[642] * v_[88]) * v_[86] - (v_[643] * v_[88] + v_[641] * v_[139] + v_[640] * v_[140] + v_[642] * v_[93]) * v_[89]) * 0.5;
+ jac[50] = ((v_[659] * v_[93] + v_[654] * v_[140] + v_[657] * v_[139] + v_[655] * v_[88]) * v_[86] - (v_[656] * v_[88] + v_[654] * v_[139] + v_[653] * v_[140] + v_[655] * v_[93]) * v_[89]) * 0.5;
+ jac[51] = ((v_[680] * v_[93] + v_[675] * v_[140] + v_[678] * v_[139] + v_[676] * v_[88]) * v_[86] - (v_[677] * v_[88] + v_[675] * v_[139] + v_[674] * v_[140] + v_[676] * v_[93]) * v_[89]) * 0.5;
+ jac[52] = ((v_[695] * v_[93] + v_[690] * v_[140] + v_[693] * v_[139] + v_[691] * v_[88]) * v_[86] - (v_[692] * v_[88] + v_[690] * v_[139] + v_[689] * v_[140] + v_[691] * v_[93]) * v_[89]) * 0.5;
+ jac[53] = ((v_[708] * v_[93] + v_[703] * v_[140] + v_[706] * v_[139] + v_[704] * v_[88]) * v_[86] - (v_[705] * v_[88] + v_[703] * v_[139] + v_[702] * v_[140] + v_[704] * v_[93]) * v_[89]) * 0.5;
+ v_[89] = 0 - -9.81 * (v_[95] * v_[149] + v_[142] * v_[148]);
+ v_[86] = v_[77] * 0.881 + v_[79] * -8.81e-05;
+ v_[704] = v_[214] * x_in[19] + v_[206] * x_in[20];
+ v_[708] = -1 * x_in[18] + x_in[24];
+ v_[705] = v_[68] * v_[704] + v_[64] * v_[708];
+ v_[706] = v_[215] * v_[704] + v_[68] * v_[708];
+ v_[702] = v_[78] * v_[705] + v_[67] * v_[706];
+ v_[703] = v_[72] * -0.881;
+ v_[140] = v_[75] * -8.81e-05;
+ v_[139] = v_[703] + v_[140];
+ v_[93] = v_[67] * v_[705] + v_[70] * v_[706];
+ v_[88] = v_[86] * v_[702] + v_[139] * v_[93];
+ v_[691] = v_[69] * 3.146;
+ v_[695] = v_[66] * -3.146;
+ v_[692] = v_[88] + v_[691] * v_[706] + v_[695] * v_[705];
+ v_[693] = v_[63] * 3.44;
+ v_[689] = 0 - v_[693];
+ v_[690] = v_[692] * -1 + v_[689] * v_[708] + v_[135] * x_in[24];
+ v_[149] = 0 - -9.81 * (1 - v_[150] * v_[149] - v_[142] * v_[141]);
+ v_[142] = 0 - v_[86];
+ v_[676] = v_[206] * x_in[19] + v_[128] * x_in[20];
+ v_[680] = -1 * v_[676] + x_in[25];
+ v_[677] = v_[680] + x_in[26];
+ v_[678] = v_[131] * 0.881 + (0 - v_[79]) * 0.1104774 + v_[75] * 0.0004405;
+ v_[674] = v_[142] * v_[677] + v_[678] * v_[93] + v_[80] * x_in[26];
+ v_[140] = 0 - v_[703] - v_[140];
+ v_[703] = 0 - v_[678];
+ v_[675] = v_[140] * v_[677] + v_[703] * v_[702] - v_[76] * x_in[26];
+ v_[655] = 0 - v_[691];
+ v_[659] = v_[130] * 3.146 + (0 - v_[73]) * 0.47422804 + v_[74] * -0.0825825;
+ v_[656] = v_[674] * v_[67] + v_[675] * v_[70] + v_[655] * v_[680] + v_[659] * v_[705] + v_[82] * x_in[25];
+ v_[657] = 0 - v_[695];
+ v_[653] = 0 - v_[659];
+ v_[654] = v_[674] * v_[71] + v_[675] * v_[67] + v_[657] * v_[680] + v_[653] * v_[706] - v_[81] * x_in[25];
+ v_[642] = v_[129] * -3.44;
+ v_[646] = 0 - v_[642] - 0.1466472;
+ v_[643] = v_[656] * v_[65] + v_[654] * v_[68] + v_[646] * v_[708] - v_[134] * x_in[24];
+ v_[644] = v_[62] * x_in[20] + v_[252] * x_in[19] + v_[129] * x_in[18] + v_[128] * x_in[23] + v_[145] * x_in[22];
+ v_[640] = v_[136] * v_[149] + v_[146] * v_[89] + v_[644] * x_in[24];
+ v_[641] = 0 - v_[704];
+ v_[626] = v_[641] * x_in[24];
+ v_[630] = 0.207 * x_in[20] + -1 * x_in[21];
+ v_[629] = v_[676] * v_[630] - v_[708] * v_[644];
+ v_[627] = v_[704] * v_[708];
+ v_[150] = 0 - -9.81 * (v_[95] * v_[141] - v_[150] * v_[148]);
+ v_[148] = -1 * v_[150];
+ v_[141] = v_[306] * x_in[20] + v_[205] * x_in[19] + v_[63] * x_in[18] + v_[136] * x_in[23] + v_[146] * x_in[22];
+ v_[95] = v_[64] * v_[630] + v_[68] * v_[141] + v_[209] * v_[676];
+ v_[624] = 0 - v_[95];
+ v_[625] = v_[68] * v_[148] + v_[65] * v_[640] + v_[207] * v_[626] + v_[624] * x_in[25];
+ v_[611] = -1 * v_[626] + x_in[43];
+ v_[615] = -0.08 * v_[708] + -1 * v_[644];
+ v_[612] = v_[705] * v_[615];
+ v_[613] = v_[680] * v_[95];
+ v_[609] = v_[705] * v_[706];
+ v_[610] = v_[611] + x_in[44];
+ v_[598] = v_[676] * x_in[24];
+ v_[602] = 0 - v_[705];
+ v_[599] = v_[68] * x_in[42] + v_[215] * v_[598] + v_[602] * x_in[25];
+ v_[600] = v_[64] * x_in[42] + v_[68] * v_[598] + v_[706] * x_in[25];
+ v_[596] = v_[70] * v_[599] + v_[67] * v_[600] + v_[702] * x_in[26];
+ v_[597] = v_[68] * v_[630] + v_[65] * v_[141] + v_[207] * v_[676];
+ v_[583] = v_[64] * v_[148] + v_[68] * v_[640] + v_[209] * v_[626] + v_[597] * x_in[25];
+ v_[587] = v_[70] * v_[597] + v_[67] * v_[95] + v_[220] * v_[680];
+ v_[584] = 0 - v_[587];
+ v_[585] = v_[67] * v_[625] + v_[71] * v_[583] + v_[212] * v_[611] + v_[584] * x_in[26];
+ v_[581] = -0.35 * v_[706] + v_[615];
+ v_[582] = v_[93] * v_[581];
+ v_[562] = v_[677] * v_[587];
+ v_[566] = v_[93] * v_[702];
+ v_[563] = v_[702] * v_[677];
+ v_[564] = v_[677] * v_[677];
+ v_[560] = v_[93] * v_[93];
+ v_[561] = 0.1104774 * v_[610] + 8.81e-05 * v_[596] + 0.881 * v_[585] + -0.881 * (v_[582] - v_[562]) + 0.1104774 * v_[566] + -8.81e-05 * v_[563] - 0.0004405 * (v_[564] + v_[560]);
+ v_[549] = 0 - v_[93];
+ v_[553] = v_[67] * v_[599] + v_[78] * v_[600] + v_[549] * x_in[26];
+ v_[550] = v_[67] * v_[597] + v_[71] * v_[95] + v_[212] * v_[680];
+ v_[551] = v_[70] * v_[625] + v_[67] * v_[583] + v_[220] * v_[611] + v_[550] * x_in[26];
+ v_[547] = v_[702] * v_[581] - v_[677] * v_[550];
+ v_[548] = v_[93] * v_[677];
+ v_[534] = v_[702] * v_[702];
+ v_[564] = -0.0004405 * v_[610] + -8.81e-05 * v_[553] + 0.881 * v_[551] + 0.881 * v_[547] + -8.81e-05 * v_[548] + 0.0004405 * v_[566] - 0.1104774 * (v_[564] + v_[534]);
+ v_[538] = v_[680] * v_[680];
+ v_[535] = v_[705] * v_[705];
+ v_[536] = 3.146 * v_[625] + 0.47422804 * v_[611] + -3.146 * (v_[612] - v_[613]) + 0.47422804 * v_[609] + v_[67] * v_[561] + v_[70] * v_[564] - -0.0825825 * (v_[538] + v_[535]);
+ v_[532] = v_[706] * v_[615] - v_[680] * v_[597];
+ v_[533] = v_[706] * v_[706];
+ v_[513] = 3.146 * v_[583] + 0.0825825 * v_[611] + 3.146 * v_[532] + -0.0825825 * v_[609] + v_[71] * v_[561] + v_[67] * v_[564] - 0.47422804 * (v_[538] + v_[533]);
+ v_[517] = v_[708] * v_[708];
+ v_[514] = v_[676] * v_[676];
+ v_[515] = 3.44 * v_[640] + 0.5824264 * v_[626] + 3.44 * v_[629] + 0.5824264 * v_[627] + v_[65] * v_[536] + v_[68] * v_[513] - 0.1466472 * (v_[517] + v_[514]);
+ v_[511] = v_[131] * 0.0004405 + v_[72] * -8.81e-05 + v_[75] * -0.000227999999999999;
+ v_[512] = v_[131] * 0.1104774 + v_[77] * -8.81e-05 + (0 - v_[79]) * 0.025713;
+ v_[453] = (0 - v_[72]) * 0.0004405;
+ v_[457] = (0 - v_[77]) * 0.1104774;
+ v_[454] = v_[453] + v_[457];
+ v_[454] = v_[142] * v_[550] + v_[140] * v_[587] + v_[511] * v_[702] + v_[512] * v_[93] + v_[454] * v_[677] + v_[454] * v_[677];
+ v_[140] = v_[130] * -0.0825825 + v_[73] * 0.007418 + v_[74] * 0.002735;
+ v_[142] = v_[130] * 0.47422804 + (0 - v_[73]) * 0.084376 + (0 - v_[74]) * 0.007418;
+ v_[455] = (0 - v_[66]) * -0.0825825;
+ v_[451] = (0 - v_[69]) * 0.47422804;
+ v_[452] = v_[73] * 0.000102;
+ v_[393] = (0 - v_[74]) * 2.1e-05;
+ v_[397] = v_[455] + v_[451] + v_[452] + v_[393];
+ v_[397] = v_[454] + v_[674] * v_[212] + v_[675] * v_[220] + v_[655] * v_[597] + v_[657] * v_[95] + v_[140] * v_[706] + v_[142] * v_[705] + v_[397] * v_[680] + v_[397] * v_[680];
+ v_[657] = v_[129] * 0.5824264 - 0.022734;
+ v_[655] = v_[129] * 0.1466472 - 0.009466;
+ v_[394] = (0 - v_[63]) * 0.1466472;
+ v_[395] = v_[394] - 3.6e-05;
+ v_[79] = v_[131] * -0.1104774 + v_[77] * -8.81e-05 + v_[79] * 0.026409;
+ v_[75] = v_[131] * 0.0004405 + v_[72] * 8.81e-05 + v_[75] * 0.000468;
+ jac[468] = v_[76] * v_[584] + v_[80] * v_[550] + v_[79] * v_[549] + v_[75] * v_[702] + v_[454];
+ v_[132] = v_[132] * -0.35 + v_[79] * v_[67] + v_[75] * v_[70] + v_[130] * -0.47422804 + v_[73] * 0.087136 + v_[74] * 0.007418;
+ v_[130] = v_[79] * v_[78] + v_[75] * v_[67] + v_[130] * -0.0825825 + v_[73] * 0.007418 + v_[74] * 0.005495;
+ jac[450] = v_[81] * v_[624] + v_[82] * v_[597] + v_[132] * v_[602] + v_[130] * v_[706] + v_[397];
+ jac[756] = v_[133] * -0.08 + v_[132] * v_[68] + v_[130] * v_[64] + v_[129] * 0.1466472 - 0.011033;
+ v_[133] = v_[132] * v_[215] + v_[130] * v_[68] + v_[129] * -0.5824264 + 0.022734;
+ v_[395] = v_[656] * v_[207] + v_[654] * v_[209] + v_[397] * -1 + v_[693] * v_[630] + v_[657] * v_[708] + v_[655] * v_[704] + v_[395] * v_[676] + v_[395] * v_[676] + v_[133] * x_in[24];
+ v_[77] = v_[72] * 0.1104774 + v_[77] * 0.0004405;
+ v_[131] = (0 - v_[131]) * -8.81e-05;
+ v_[457] = v_[131] + v_[457];
+ v_[457] = v_[86] * v_[581] + v_[703] * v_[587] + v_[511] * v_[677] + v_[77] * v_[93] + v_[457] * v_[702] + v_[457] * v_[702] + v_[75] * x_in[26];
+ v_[131] = v_[131] + v_[453];
+ v_[131] = v_[139] * v_[581] + v_[678] * v_[550] + v_[512] * v_[677] + v_[77] * v_[702] + v_[131] * v_[93] + v_[131] * v_[93] - v_[79] * x_in[26];
+ v_[77] = v_[66] * 0.47422804 + v_[69] * -0.0825825 + (0 - v_[73]) * 2.1e-05 + v_[74] * 0.000102;
+ v_[393] = v_[451] - v_[393];
+ v_[393] = v_[88] * -0.35 + v_[457] * v_[67] + v_[131] * v_[70] + v_[691] * v_[615] + v_[653] * v_[95] + v_[140] * v_[680] + v_[77] * v_[705] + v_[393] * v_[706] + v_[393] * v_[706] + v_[130] * x_in[25];
+ v_[452] = v_[455] - v_[452];
+ v_[452] = v_[457] * v_[78] + v_[131] * v_[67] + v_[695] * v_[615] + v_[659] * v_[597] + v_[142] * v_[680] + v_[77] * v_[706] + v_[452] * v_[705] + v_[452] * v_[705] - v_[132] * x_in[25];
+ v_[642] = v_[642] + 0.1466472;
+ v_[77] = v_[63] * 0.5824264 + 5.1e-05;
+ jac[774] = jac[792] + v_[76] * v_[212] + v_[80] * v_[220] + v_[66] * 0.47422804 + v_[69] * 0.0825825 + v_[73] * 2.1e-05 + v_[74] * 0.000102;
+ v_[142] = v_[81] * v_[207] + v_[82] * v_[209] + jac[774] * -1 + v_[63] * 0.5824264 + 5.1e-05;
+ v_[655] = v_[393] * v_[215] + v_[452] * v_[68] + v_[642] * v_[630] + v_[77] * v_[708] + v_[655] * v_[676] + 3.6e-05 * v_[704] + 3.6e-05 * v_[704] - v_[142] * x_in[24];
+ v_[659] = sin(x_in[6]);
+ v_[695] = 0 - v_[141];
+ v_[455] = v_[128] * v_[149] + v_[145] * v_[89] + v_[695] * x_in[24];
+ v_[140] = v_[704] * v_[676];
+ v_[653] = v_[704] * v_[630];
+ v_[691] = v_[708] * v_[141];
+ v_[88] = v_[676] * v_[708];
+ v_[451] = -0.08 * x_in[42] + -1 * v_[455];
+ v_[512] = v_[705] * v_[680];
+ v_[678] = v_[705] * v_[597] - v_[706] * v_[95];
+ v_[139] = v_[706] * v_[680];
+ v_[453] = -0.35 * v_[599] + v_[451];
+ v_[511] = v_[93] * v_[550] - v_[702] * v_[587];
+ v_[534] = -0.1104774 * v_[553] + 0.0004405 * v_[596] + 0.881 * v_[453] + 0.881 * v_[511] + 0.1104774 * v_[548] + 0.0004405 * v_[563] - -8.81e-05 * (v_[534] + v_[560]);
+ v_[560] = 0.1466472 * x_in[42] + -0.5824264 * v_[598] + 3.44 * v_[455] + 0.1466472 * v_[140] + -3.44 * (v_[653] - v_[691]) + 0.5824264 * v_[88] + -1 * (-0.47422804 * v_[599] + -0.0825825 * v_[600] + 3.146 * v_[451] + 0.47422804 * v_[512] + 3.146 * v_[678] + -0.0825825 * v_[139] + v_[534]);
+ v_[703] = cos(x_in[6]);
+ jac[108] = 0 - (0 - (v_[134] * v_[89] + v_[690] * x_in[22]) + v_[690] * x_in[20] * -0.3735 - (v_[135] * v_[149] + v_[643] * x_in[23]) + v_[643] * x_in[19] * 0.3735 + (v_[515] + v_[643] * x_in[18]) * -0.207 - (v_[395] * x_in[19] + v_[655] * x_in[20])) * v_[659] + (v_[134] * v_[149] + v_[690] * x_in[23] + v_[395] * x_in[20] + v_[690] * x_in[19] * -0.3735 + (v_[560] + v_[690] * x_in[18]) * 0.207 - (v_[135] * v_[89] + v_[643] * x_in[22]) + v_[643] * x_in[20] * -0.3735 - v_[655] * x_in[19]) * v_[703];
+ v_[86] = v_[221] * 0.881 + (0 - v_[211]) * 0.0004405 + v_[222] * -8.81e-05;
+ v_[72] = v_[213] * -0.881;
+ v_[397] = v_[211] * 0.1104774;
+ v_[454] = v_[218] * -8.81e-05;
+ v_[391] = v_[72] - v_[397] + v_[454];
+ v_[392] = v_[86] * v_[702] + v_[391] * v_[93];
+ v_[351] = v_[210] * 3.146 + (0 - v_[211]) * -0.0825825;
+ v_[355] = v_[208] * -3.146;
+ v_[352] = v_[211] * 0.47422804;
+ v_[353] = v_[355] - v_[352];
+ v_[349] = v_[392] + v_[351] * v_[706] + v_[353] * v_[705];
+ v_[350] = v_[205] * 3.44 + v_[206] * 0.5824264;
+ v_[261] = 0 - v_[350];
+ v_[265] = (0 - v_[206]) * 0.1466472;
+ v_[262] = v_[349] * -1 + v_[261] * v_[708] + v_[265] * v_[704] + v_[258] * x_in[24];
+ v_[263] = 0 - v_[86];
+ v_[259] = v_[254] * 0.881 + (0 - v_[222]) * 0.1104774 + v_[218] * 0.0004405;
+ v_[260] = v_[263] * v_[677] + v_[259] * v_[93] + v_[223] * x_in[26];
+ v_[454] = 0 - v_[72] + v_[397] - v_[454];
+ v_[397] = 0 - v_[259];
+ v_[72] = v_[454] * v_[677] + v_[397] * v_[702] - v_[219] * x_in[26];
+ v_[147] = 0 - v_[351];
+ v_[154] = v_[253] * 3.146 + (0 - v_[216]) * 0.47422804 + v_[217] * -0.0825825;
+ v_[151] = v_[260] * v_[67] + v_[72] * v_[70] + v_[147] * v_[680] + v_[154] * v_[705] + v_[225] * x_in[25];
+ v_[352] = 0 - v_[355] + v_[352];
+ v_[355] = 0 - v_[154];
+ v_[152] = v_[260] * v_[71] + v_[72] * v_[67] + v_[352] * v_[680] + v_[355] * v_[706] - v_[224] * x_in[25];
+ v_[137] = v_[252] * -3.44;
+ v_[138] = v_[214] * 0.5824264;
+ v_[84] = 0 - v_[137] - v_[138];
+ v_[94] = 0 - v_[265];
+ v_[709] = v_[151] * v_[65] + v_[152] * v_[68] + v_[84] * v_[708] + v_[94] * v_[676] - v_[257] * x_in[24];
+ v_[532] = -5.1e-05 * x_in[42] + 0.144171 * v_[626] + -3.6e-05 * v_[598] + -0.1466472 * v_[148] + 0.5824264 * v_[640] + 0.5824264 * v_[629] + -3.6e-05 * v_[88] + -0.022734 * (v_[517] - v_[704] * v_[704]) + v_[207] * v_[536] + v_[209] * v_[513] + -1 * (0.089871 * v_[611] + 2.1e-05 * v_[599] + 0.000102 * v_[600] + 0.47422804 * v_[625] + 0.0825825 * v_[583] + 0.47422804 * (v_[613] - v_[612]) + 0.081641 * v_[609] + 2.1e-05 * v_[512] + v_[212] * v_[561] + v_[220] * v_[564] + 0.1104774 * v_[585] + -0.0004405 * v_[551] + 0.026181 * v_[610] + 0.1104774 * (v_[562] - v_[582]) + 0.025941 * v_[566] - 0.0004405 * v_[547] - -0.0825825 * v_[532] - 0.000102 * v_[139] - 0.007418 * (v_[533] - v_[535])) - 0.1466472 * (v_[704] * v_[644] - v_[676] * v_[141]) - -0.123672 * v_[627] - -5.1e-05 * v_[140];
+ v_[566] = v_[254] * 0.0004405 + v_[213] * -8.81e-05 + v_[218] * -0.000227999999999999;
+ v_[610] = v_[254] * 0.1104774 + v_[221] * -8.81e-05 + (0 - v_[222]) * 0.025713;
+ v_[613] = (0 - v_[213]) * 0.0004405;
+ v_[612] = (0 - v_[221]) * 0.1104774;
+ v_[629] = v_[613] + v_[612];
+ v_[629] = v_[263] * v_[550] + v_[454] * v_[587] + v_[566] * v_[702] + v_[610] * v_[93] + v_[629] * v_[677] + v_[629] * v_[677];
+ v_[454] = v_[253] * -0.0825825 + (0 - v_[211]) * 0.000102 + v_[216] * 0.007418 + v_[217] * 0.002735;
+ v_[263] = v_[253] * 0.47422804 + v_[211] * 2.1e-05 + (0 - v_[216]) * 0.084376 + (0 - v_[217]) * 0.007418;
+ v_[700] = (0 - v_[208]) * -0.0825825;
+ v_[707] = (0 - v_[210]) * 0.47422804;
+ v_[91] = v_[216] * 0.000102;
+ v_[85] = (0 - v_[217]) * 2.1e-05;
+ v_[697] = v_[700] + v_[707] + v_[91] + v_[85];
+ v_[697] = v_[629] + v_[260] * v_[212] + v_[72] * v_[220] + v_[147] * v_[597] + v_[352] * v_[95] + v_[454] * v_[706] + v_[263] * v_[705] + v_[697] * v_[680] + v_[697] * v_[680];
+ v_[352] = v_[252] * 0.5824264 + v_[206] * -3.6e-05 + v_[214] * -0.133138;
+ v_[147] = v_[252] * 0.1466472 + (0 - v_[206]) * -5.1e-05 + v_[214] * -0.022734;
+ v_[696] = (0 - v_[205]) * 0.1466472;
+ v_[687] = (0 - v_[214]) * -5.1e-05;
+ v_[694] = v_[696] - v_[687];
+ v_[222] = v_[254] * -0.1104774 + v_[221] * -8.81e-05 + v_[222] * 0.026409;
+ v_[218] = v_[254] * 0.0004405 + v_[213] * 8.81e-05 + v_[218] * 0.000468;
+ jac[469] = v_[219] * v_[584] + v_[223] * v_[550] + v_[222] * v_[549] + v_[218] * v_[702] + v_[629];
+ v_[255] = v_[255] * -0.35 + v_[222] * v_[67] + v_[218] * v_[70] + v_[253] * -0.47422804 + v_[211] * 2.1e-05 + v_[216] * 0.087136 + v_[217] * 0.007418;
+ v_[253] = v_[222] * v_[78] + v_[218] * v_[67] + v_[253] * -0.0825825 + v_[211] * 0.000102 + v_[216] * 0.007418 + v_[217] * 0.005495;
+ jac[451] = v_[224] * v_[624] + v_[225] * v_[597] + v_[255] * v_[602] + v_[253] * v_[706] + v_[697];
+ jac[757] = v_[256] * -0.08 + v_[255] * v_[68] + v_[253] * v_[64] + v_[252] * 0.1466472 + v_[206] * -5.1e-05 + v_[214] * -0.022734;
+ v_[256] = v_[255] * v_[215] + v_[253] * v_[68] + v_[252] * -0.5824264 + v_[206] * -3.6e-05 + v_[214] * 0.134705;
+ v_[694] = v_[151] * v_[207] + v_[152] * v_[209] + v_[697] * -1 + v_[350] * v_[630] + v_[94] * v_[141] + v_[352] * v_[708] + v_[147] * v_[704] + v_[694] * v_[676] + v_[694] * v_[676] + v_[256] * x_in[24];
+ v_[221] = v_[213] * 0.1104774 + v_[221] * 0.0004405 + v_[211] * 0.025941;
+ v_[254] = (0 - v_[254]) * -8.81e-05;
+ v_[612] = v_[254] + v_[612];
+ v_[612] = v_[86] * v_[581] + v_[397] * v_[587] + v_[566] * v_[677] + v_[221] * v_[93] + v_[612] * v_[702] + v_[612] * v_[702] + v_[218] * x_in[26];
+ v_[254] = v_[254] + v_[613];
+ v_[254] = v_[391] * v_[581] + v_[259] * v_[550] + v_[610] * v_[677] + v_[221] * v_[702] + v_[254] * v_[93] + v_[254] * v_[93] - v_[222] * x_in[26];
+ v_[221] = v_[208] * 0.47422804 + v_[210] * -0.0825825 + v_[211] * 0.081641 + (0 - v_[216]) * 2.1e-05 + v_[217] * 0.000102;
+ v_[610] = (0 - v_[211]) * 0.007418;
+ v_[85] = v_[707] + v_[610] - v_[85];
+ v_[85] = v_[392] * -0.35 + v_[612] * v_[67] + v_[254] * v_[70] + v_[351] * v_[615] + v_[355] * v_[95] + v_[454] * v_[680] + v_[221] * v_[705] + v_[85] * v_[706] + v_[85] * v_[706] + v_[253] * x_in[25];
+ v_[610] = v_[700] - v_[610] - v_[91];
+ v_[610] = v_[612] * v_[78] + v_[254] * v_[67] + v_[353] * v_[615] + v_[154] * v_[597] + v_[263] * v_[680] + v_[221] * v_[706] + v_[610] * v_[705] + v_[610] * v_[705] - v_[255] * x_in[25];
+ v_[138] = v_[137] + v_[138];
+ v_[137] = v_[205] * 0.5824264 + (0 - v_[206]) * -0.123672 + (0 - v_[214]) * -3.6e-05;
+ v_[221] = v_[206] * -0.022734;
+ v_[263] = 0 - v_[221];
+ jac[775] = jac[793] + v_[219] * v_[212] + v_[223] * v_[220] + v_[208] * 0.47422804 + v_[210] * 0.0825825 + v_[211] * 0.089871 + v_[216] * 2.1e-05 + v_[217] * 0.000102;
+ v_[154] = v_[224] * v_[207] + v_[225] * v_[209] + jac[775] * -1 + v_[205] * 0.5824264 + v_[206] * 0.144171 + v_[214] * -3.6e-05;
+ v_[263] = v_[85] * v_[215] + v_[610] * v_[68] + v_[138] * v_[630] + v_[265] * v_[644] + v_[137] * v_[708] + v_[147] * v_[676] + v_[263] * v_[704] + v_[263] * v_[704] - v_[154] * x_in[24];
+ v_[548] = -0.1104774 * v_[453] + -8.81e-05 * v_[551] + 0.026409 * v_[553] + -8.81e-05 * v_[547] - 0.1104774 * v_[511] - 0.025713 * v_[548];
+ v_[511] = 0.0004405 * v_[453] + 8.81e-05 * v_[585] + 0.000468 * v_[596] + 0.0004405 * v_[511] + -8.81e-05 * (v_[582] - v_[562]) + -0.000227999999999999 * v_[563];
+ v_[534] = 2.1e-05 * v_[611] + 0.087136 * v_[599] + 0.007418 * v_[600] + -0.47422804 * v_[451] + 0.007418 * v_[139] + 0.000102 * (v_[538] - v_[535]) + v_[67] * v_[548] + v_[70] * v_[511] + -0.35 * v_[534] - 0.47422804 * v_[678] - 0.084376 * v_[512] - 2.1e-05 * v_[609];
+ v_[139] = 0.000102 * v_[611] + 0.007418 * v_[599] + 0.005495 * v_[600] + -0.0825825 * v_[451] + 0.002735 * v_[139] + -0.0825825 * v_[678] + 0.000102 * v_[609] + v_[78] * v_[548] + v_[67] * v_[511] - 0.007418 * v_[512] - 2.1e-05 * (v_[538] - v_[533]);
+ v_[88] = -0.022734 * x_in[42] + -3.6e-05 * v_[626] + 0.134705 * v_[598] + -0.5824264 * v_[455] + -0.133138 * v_[88] + 0.5824264 * (v_[653] - v_[691]) + -0.022734 * v_[140] + v_[215] * v_[534] + v_[68] * v_[139] - -3.6e-05 * v_[627] - -5.1e-05 * (v_[517] - v_[514]);
+ jac[109] = 0 - (0 - (v_[257] * v_[89] + v_[262] * x_in[22]) + v_[262] * x_in[20] * -0.3735 - (v_[258] * v_[149] + v_[709] * x_in[23]) + (v_[515] + v_[709] * x_in[19]) * 0.3735 + v_[709] * x_in[18] * -0.207 - (v_[532] + v_[694] * x_in[19] + v_[263] * x_in[20])) * v_[659] + (v_[257] * v_[149] + v_[262] * x_in[23] + v_[694] * x_in[20] + (v_[560] + v_[262] * x_in[19]) * -0.3735 + v_[262] * x_in[18] * 0.207 - (v_[258] * v_[89] + v_[709] * x_in[22]) + v_[709] * x_in[20] * -0.3735 - (v_[88] + v_[263] * x_in[19])) * v_[703];
+ v_[691] = v_[315] * 0.881 + (0 - v_[309]) * 0.0004405 + v_[316] * -8.81e-05;
+ v_[653] = v_[310] * -0.881;
+ v_[140] = v_[309] * 0.1104774;
+ v_[455] = v_[313] * -8.81e-05;
+ v_[514] = v_[653] - v_[140] + v_[455];
+ v_[517] = v_[691] * v_[702] + v_[514] * v_[93];
+ v_[627] = v_[308] * 3.146 + (0 - v_[309]) * -0.0825825;
+ v_[678] = v_[307] * -3.146;
+ v_[512] = v_[309] * 0.47422804;
+ v_[451] = v_[678] - v_[512];
+ v_[533] = v_[517] + v_[627] * v_[706] + v_[451] * v_[705];
+ v_[538] = v_[306] * 3.44 + v_[128] * 0.5824264;
+ v_[609] = 0 - v_[538];
+ v_[535] = 0.71208 + (0 - v_[128]) * 0.1466472;
+ v_[453] = v_[533] * -1 + v_[609] * v_[708] + v_[535] * v_[704] + v_[348] * x_in[24];
+ v_[563] = 0 - v_[691];
+ v_[562] = v_[344] * 0.881 + (0 - v_[316]) * 0.1104774 + v_[313] * 0.0004405;
+ v_[582] = v_[563] * v_[677] + v_[562] * v_[93] + v_[317] * x_in[26];
+ v_[455] = 0 - v_[653] + v_[140] - v_[455];
+ v_[140] = 0 - v_[562];
+ v_[653] = v_[455] * v_[677] + v_[140] * v_[702] - v_[314] * x_in[26];
+ v_[585] = 0 - v_[627];
+ v_[596] = v_[343] * 3.146 + (0 - v_[311]) * 0.47422804 + v_[312] * -0.0825825;
+ v_[547] = v_[582] * v_[67] + v_[653] * v_[70] + v_[585] * v_[680] + v_[596] * v_[705] + v_[319] * x_in[25];
+ v_[512] = 0 - v_[678] + v_[512];
+ v_[678] = 0 - v_[596];
+ v_[551] = v_[582] * v_[71] + v_[653] * v_[67] + v_[512] * v_[680] + v_[678] * v_[706] - v_[318] * x_in[25];
+ v_[553] = v_[62] * -3.44;
+ v_[147] = v_[206] * 0.5824264;
+ v_[265] = 0 - v_[553] - v_[147];
+ v_[353] = 0 - v_[535];
+ v_[91] = v_[547] * v_[65] + v_[551] * v_[68] + v_[265] * v_[708] + v_[353] * v_[676] - v_[347] * x_in[24];
+ v_[700] = v_[344] * 0.0004405 + v_[310] * -8.81e-05 + v_[313] * -0.000227999999999999;
+ v_[454] = v_[344] * 0.1104774 + v_[315] * -8.81e-05 + (0 - v_[316]) * 0.025713;
+ v_[355] = (0 - v_[310]) * 0.0004405;
+ v_[351] = (0 - v_[315]) * 0.1104774;
+ v_[392] = v_[355] + v_[351];
+ v_[392] = v_[563] * v_[550] + v_[455] * v_[587] + v_[700] * v_[702] + v_[454] * v_[93] + v_[392] * v_[677] + v_[392] * v_[677];
+ v_[455] = v_[343] * -0.0825825 + (0 - v_[309]) * 0.000102 + v_[311] * 0.007418 + v_[312] * 0.002735;
+ v_[563] = v_[343] * 0.47422804 + v_[309] * 2.1e-05 + (0 - v_[311]) * 0.084376 + (0 - v_[312]) * 0.007418;
+ v_[707] = (0 - v_[307]) * -0.0825825;
+ v_[259] = (0 - v_[308]) * 0.47422804;
+ v_[391] = v_[311] * 0.000102;
+ v_[613] = (0 - v_[312]) * 2.1e-05;
+ v_[566] = v_[707] + v_[259] + v_[391] + v_[613];
+ v_[566] = v_[392] + v_[582] * v_[212] + v_[653] * v_[220] + v_[585] * v_[597] + v_[512] * v_[95] + v_[455] * v_[706] + v_[563] * v_[705] + v_[566] * v_[680] + v_[566] * v_[680];
+ v_[512] = v_[62] * 0.5824264 + v_[128] * -3.6e-05 + v_[206] * -0.133138;
+ v_[585] = v_[62] * 0.1466472 + (0 - v_[128]) * -5.1e-05 + v_[206] * -0.022734;
+ v_[397] = (0 - v_[306]) * 0.1466472;
+ v_[86] = (0 - v_[206]) * -5.1e-05;
+ v_[213] = -0.1205622648 + v_[397] - v_[86];
+ v_[316] = v_[344] * -0.1104774 + v_[315] * -8.81e-05 + v_[316] * 0.026409;
+ v_[313] = v_[344] * 0.0004405 + v_[310] * 8.81e-05 + v_[313] * 0.000468;
+ jac[470] = v_[314] * v_[584] + v_[317] * v_[550] + v_[316] * v_[549] + v_[313] * v_[702] + v_[392];
+ v_[345] = v_[345] * -0.35 + v_[316] * v_[67] + v_[313] * v_[70] + v_[343] * -0.47422804 + v_[309] * 2.1e-05 + v_[311] * 0.087136 + v_[312] * 0.007418;
+ v_[343] = v_[316] * v_[78] + v_[313] * v_[67] + v_[343] * -0.0825825 + v_[309] * 0.000102 + v_[311] * 0.007418 + v_[312] * 0.005495;
+ jac[452] = v_[318] * v_[624] + v_[319] * v_[597] + v_[345] * v_[602] + v_[343] * v_[706] + v_[566];
+ jac[758] = v_[346] * -0.08 + v_[345] * v_[68] + v_[343] * v_[64] + v_[62] * 0.1466472 + v_[128] * -5.1e-05 + v_[206] * -0.022734;
+ v_[346] = v_[345] * v_[215] + v_[343] * v_[68] + v_[62] * -0.5824264 + v_[128] * -3.6e-05 + v_[206] * 0.134705;
+ v_[213] = v_[547] * v_[207] + v_[551] * v_[209] + v_[566] * -1 + v_[538] * v_[630] + v_[353] * v_[141] + v_[512] * v_[708] + v_[585] * v_[704] + v_[213] * v_[676] + v_[213] * v_[676] + v_[346] * x_in[24];
+ v_[315] = v_[310] * 0.1104774 + v_[315] * 0.0004405 + v_[309] * 0.025941;
+ v_[344] = (0 - v_[344]) * -8.81e-05;
+ v_[351] = v_[344] + v_[351];
+ v_[351] = v_[691] * v_[581] + v_[140] * v_[587] + v_[700] * v_[677] + v_[315] * v_[93] + v_[351] * v_[702] + v_[351] * v_[702] + v_[313] * x_in[26];
+ v_[344] = v_[344] + v_[355];
+ v_[344] = v_[514] * v_[581] + v_[562] * v_[550] + v_[454] * v_[677] + v_[315] * v_[702] + v_[344] * v_[93] + v_[344] * v_[93] - v_[316] * x_in[26];
+ v_[315] = v_[307] * 0.47422804 + v_[308] * -0.0825825 + v_[309] * 0.081641 + (0 - v_[311]) * 2.1e-05 + v_[312] * 0.000102;
+ v_[454] = (0 - v_[309]) * 0.007418;
+ v_[613] = v_[259] + v_[454] - v_[613];
+ v_[613] = v_[517] * -0.35 + v_[351] * v_[67] + v_[344] * v_[70] + v_[627] * v_[615] + v_[678] * v_[95] + v_[455] * v_[680] + v_[315] * v_[705] + v_[613] * v_[706] + v_[613] * v_[706] + v_[343] * x_in[25];
+ v_[454] = v_[707] - v_[454] - v_[391];
+ v_[454] = v_[351] * v_[78] + v_[344] * v_[67] + v_[451] * v_[615] + v_[596] * v_[597] + v_[563] * v_[680] + v_[315] * v_[706] + v_[454] * v_[705] + v_[454] * v_[705] - v_[345] * x_in[25];
+ v_[147] = v_[553] + v_[147];
+ v_[553] = 0.0303559704 + v_[306] * 0.5824264 + (0 - v_[128]) * -0.123672 + (0 - v_[206]) * -3.6e-05;
+ v_[315] = v_[128] * -0.022734;
+ v_[563] = -0.1205622648 - v_[315];
+ jac[776] = jac[794] + v_[314] * v_[212] + v_[317] * v_[220] + v_[307] * 0.47422804 + v_[308] * 0.0825825 + v_[309] * 0.089871 + v_[311] * 2.1e-05 + v_[312] * 0.000102;
+ v_[596] = v_[318] * v_[207] + v_[319] * v_[209] + jac[776] * -1 - 0.0303559704 + v_[306] * 0.5824264 + v_[128] * 0.144171 + v_[206] * -3.6e-05;
+ v_[563] = v_[613] * v_[215] + v_[454] * v_[68] + v_[147] * v_[630] + v_[535] * v_[644] + v_[553] * v_[708] + v_[585] * v_[676] + v_[563] * v_[704] + v_[563] * v_[704] - v_[596] * x_in[24];
+ jac[110] = 0 - (0 - (v_[347] * v_[89] + v_[453] * x_in[22]) + (v_[560] + v_[453] * x_in[20]) * -0.3735 - (v_[348] * v_[149] + v_[91] * x_in[23]) + v_[91] * x_in[19] * 0.3735 + v_[91] * x_in[18] * -0.207 - (v_[88] + v_[213] * x_in[19] + v_[563] * x_in[20])) * v_[659] + (v_[532] + v_[347] * v_[149] + v_[453] * x_in[23] + v_[213] * x_in[20] + v_[453] * x_in[19] * -0.3735 + v_[453] * x_in[18] * 0.207 - (v_[348] * v_[89] + v_[91] * x_in[22]) + (v_[515] + v_[91] * x_in[20]) * -0.3735 - v_[563] * x_in[19]) * v_[703];
+ v_[88] = v_[382] * 0.881;
+ v_[532] = v_[380] * -0.881;
+ v_[585] = v_[88] * v_[702] + v_[532] * v_[93];
+ v_[535] = v_[379] * 3.146;
+ v_[451] = v_[378] * -3.146;
+ v_[391] = v_[585] + v_[535] * v_[706] + v_[451] * v_[705];
+ v_[707] = v_[391] * -1 + -3.44 * v_[704] + v_[390] * x_in[24];
+ v_[455] = 0 - v_[88];
+ v_[678] = v_[455] * v_[677] + v_[383] * x_in[26];
+ v_[627] = 0 - v_[532];
+ v_[517] = v_[627] * v_[677] - v_[381] * x_in[26];
+ v_[259] = 0 - v_[535];
+ v_[562] = v_[678] * v_[67] + v_[517] * v_[70] + v_[259] * v_[680] + v_[385] * x_in[25];
+ v_[514] = 0 - v_[451];
+ v_[355] = v_[678] * v_[71] + v_[517] * v_[67] + v_[514] * v_[680] - v_[384] * x_in[25];
+ v_[700] = v_[562] * v_[65] + v_[355] * v_[68] + 3.44 * v_[676];
+ v_[140] = v_[380] * -8.81e-05;
+ v_[691] = v_[382] * -8.81e-05;
+ v_[310] = (0 - v_[380]) * 0.0004405;
+ v_[566] = (0 - v_[382]) * 0.1104774;
+ v_[353] = v_[310] + v_[566];
+ v_[353] = v_[455] * v_[550] + v_[627] * v_[587] + v_[140] * v_[702] + v_[691] * v_[93] + v_[353] * v_[677] + v_[353] * v_[677];
+ v_[627] = (0 - v_[378]) * -0.0825825;
+ v_[455] = (0 - v_[379]) * 0.47422804;
+ v_[392] = v_[627] + v_[455];
+ v_[392] = v_[353] + v_[678] * v_[212] + v_[517] * v_[220] + v_[259] * v_[597] + v_[514] * v_[95] + v_[392] * v_[680] + v_[392] * v_[680];
+ v_[514] = v_[382] * -8.81e-05;
+ v_[259] = v_[380] * 8.81e-05;
+ jac[471] = v_[381] * v_[584] + v_[383] * v_[550] + v_[514] * v_[549] + v_[259] * v_[702] + v_[353];
+ v_[353] = v_[514] * v_[67] + v_[259] * v_[70];
+ v_[697] = v_[514] * v_[78] + v_[259] * v_[67];
+ jac[453] = v_[384] * v_[624] + v_[385] * v_[597] + v_[353] * v_[602] + v_[697] * v_[706] + v_[392];
+ jac[759] = v_[353] * v_[68] + v_[697] * v_[64];
+ v_[94] = v_[353] * v_[215] + v_[697] * v_[68];
+ v_[392] = v_[562] * v_[207] + v_[355] * v_[209] + v_[392] * -1 + 3.44 * v_[141] + 0.5824264 * v_[676] + 0.5824264 * v_[676] + v_[94] * x_in[24];
+ v_[382] = v_[380] * 0.1104774 + v_[382] * 0.0004405;
+ v_[566] = v_[88] * v_[581] + v_[140] * v_[677] + v_[382] * v_[93] + v_[566] * v_[702] + v_[566] * v_[702] + v_[259] * x_in[26];
+ v_[382] = v_[532] * v_[581] + v_[691] * v_[677] + v_[382] * v_[702] + v_[310] * v_[93] + v_[310] * v_[93] - v_[514] * x_in[26];
+ v_[310] = v_[378] * 0.47422804 + v_[379] * -0.0825825;
+ v_[455] = v_[585] * -0.35 + v_[566] * v_[67] + v_[382] * v_[70] + v_[535] * v_[615] + v_[310] * v_[705] + v_[455] * v_[706] + v_[455] * v_[706] + v_[697] * x_in[25];
+ v_[310] = v_[566] * v_[78] + v_[382] * v_[67] + v_[451] * v_[615] + v_[310] * v_[706] + v_[627] * v_[705] + v_[627] * v_[705] - v_[353] * x_in[25];
+ jac[777] = jac[795] + v_[381] * v_[212] + v_[383] * v_[220] + v_[378] * 0.47422804 + v_[379] * 0.0825825;
+ v_[627] = v_[384] * v_[207] + v_[385] * v_[209] + jac[777] * -1 + 0.1466472;
+ v_[451] = v_[455] * v_[215] + v_[310] * v_[68] + -3.44 * v_[644] + -0.1466472 * v_[708] + 0.5824264 * v_[704] + 0.5824264 * v_[704] - v_[627] * x_in[24];
+ jac[111] = 0 - (0 - v_[707] * x_in[22] + v_[707] * x_in[20] * -0.3735 - (v_[390] * v_[149] + v_[700] * x_in[23]) + v_[700] * x_in[19] * 0.3735 + v_[700] * x_in[18] * -0.207 - (v_[392] * x_in[19] + v_[451] * x_in[20])) * v_[659] + (v_[707] * x_in[23] + v_[392] * x_in[20] + v_[707] * x_in[19] * -0.3735 + v_[707] * x_in[18] * 0.207 - (v_[390] * v_[89] + v_[700] * x_in[22]) + v_[700] * x_in[20] * -0.3735 - v_[451] * x_in[19]) * v_[703];
+ v_[535] = v_[428] * 0.881;
+ v_[585] = v_[426] * -0.881;
+ v_[691] = v_[535] * v_[702] + v_[585] * v_[93];
+ v_[532] = v_[425] * 3.146;
+ v_[140] = v_[424] * -3.146;
+ v_[88] = v_[691] + v_[532] * v_[706] + v_[140] * v_[705];
+ v_[380] = v_[146] * 3.44;
+ v_[629] = 0 - v_[380];
+ v_[682] = v_[88] * -1 + v_[629] * v_[708] + v_[450] * x_in[24];
+ v_[681] = 0 - v_[535];
+ v_[668] = v_[446] * 0.881;
+ v_[679] = v_[681] * v_[677] + v_[668] * v_[93] + v_[429] * x_in[26];
+ v_[661] = 0 - v_[585];
+ v_[660] = 0 - v_[668];
+ v_[651] = v_[661] * v_[677] + v_[660] * v_[702] - v_[427] * x_in[26];
+ v_[658] = 0 - v_[532];
+ v_[648] = v_[446] * 3.146;
+ v_[647] = v_[679] * v_[67] + v_[651] * v_[70] + v_[658] * v_[680] + v_[648] * v_[705] + v_[431] * x_in[25];
+ v_[638] = 0 - v_[140];
+ v_[645] = 0 - v_[648];
+ v_[633] = v_[679] * v_[71] + v_[651] * v_[67] + v_[638] * v_[680] + v_[645] * v_[706] - v_[430] * x_in[25];
+ v_[632] = v_[145] * -3.44;
+ v_[631] = 0 - v_[632];
+ v_[628] = v_[647] * v_[65] + v_[633] * v_[68] + v_[631] * v_[708] - v_[449] * x_in[24];
+ v_[617] = v_[446] * 0.0004405 + v_[426] * -8.81e-05;
+ v_[616] = v_[446] * 0.1104774 + v_[428] * -8.81e-05;
+ v_[607] = (0 - v_[426]) * 0.0004405;
+ v_[614] = (0 - v_[428]) * 0.1104774;
+ v_[604] = v_[607] + v_[614];
+ v_[604] = v_[681] * v_[550] + v_[661] * v_[587] + v_[617] * v_[702] + v_[616] * v_[93] + v_[604] * v_[677] + v_[604] * v_[677];
+ v_[661] = v_[446] * -0.0825825;
+ v_[681] = v_[446] * 0.47422804;
+ v_[603] = (0 - v_[424]) * -0.0825825;
+ v_[594] = (0 - v_[425]) * 0.47422804;
+ v_[601] = v_[603] + v_[594];
+ v_[601] = v_[604] + v_[679] * v_[212] + v_[651] * v_[220] + v_[658] * v_[597] + v_[638] * v_[95] + v_[661] * v_[706] + v_[681] * v_[705] + v_[601] * v_[680] + v_[601] * v_[680];
+ v_[638] = v_[145] * 0.5824264;
+ v_[658] = v_[145] * 0.1466472;
+ v_[589] = (0 - v_[146]) * 0.1466472;
+ v_[588] = v_[446] * -0.1104774 + v_[428] * -8.81e-05;
+ v_[575] = v_[446] * 0.0004405 + v_[426] * 8.81e-05;
+ jac[472] = v_[427] * v_[584] + v_[429] * v_[550] + v_[588] * v_[549] + v_[575] * v_[702] + v_[604];
+ v_[447] = v_[447] * -0.35 + v_[588] * v_[67] + v_[575] * v_[70] + v_[446] * -0.47422804;
+ v_[604] = v_[588] * v_[78] + v_[575] * v_[67] + v_[446] * -0.0825825;
+ jac[454] = v_[430] * v_[624] + v_[431] * v_[597] + v_[447] * v_[602] + v_[604] * v_[706] + v_[601];
+ jac[760] = v_[448] * -0.08 + v_[447] * v_[68] + v_[604] * v_[64] + v_[145] * 0.1466472;
+ v_[448] = v_[447] * v_[215] + v_[604] * v_[68] + v_[145] * -0.5824264;
+ v_[601] = v_[647] * v_[207] + v_[633] * v_[209] + v_[601] * -1 + v_[380] * v_[630] + v_[638] * v_[708] + v_[658] * v_[704] + v_[589] * v_[676] + v_[589] * v_[676] + v_[448] * x_in[24];
+ v_[428] = v_[426] * 0.1104774 + v_[428] * 0.0004405;
+ v_[446] = (0 - v_[446]) * -8.81e-05;
+ v_[614] = v_[446] + v_[614];
+ v_[614] = v_[535] * v_[581] + v_[660] * v_[587] + v_[617] * v_[677] + v_[428] * v_[93] + v_[614] * v_[702] + v_[614] * v_[702] + v_[575] * x_in[26];
+ v_[446] = v_[446] + v_[607];
+ v_[446] = v_[585] * v_[581] + v_[668] * v_[550] + v_[616] * v_[677] + v_[428] * v_[702] + v_[446] * v_[93] + v_[446] * v_[93] - v_[588] * x_in[26];
+ v_[428] = v_[424] * 0.47422804 + v_[425] * -0.0825825;
+ v_[594] = v_[691] * -0.35 + v_[614] * v_[67] + v_[446] * v_[70] + v_[532] * v_[615] + v_[645] * v_[95] + v_[661] * v_[680] + v_[428] * v_[705] + v_[594] * v_[706] + v_[594] * v_[706] + v_[604] * x_in[25];
+ v_[428] = v_[614] * v_[78] + v_[446] * v_[67] + v_[140] * v_[615] + v_[648] * v_[597] + v_[681] * v_[680] + v_[428] * v_[706] + v_[603] * v_[705] + v_[603] * v_[705] - v_[447] * x_in[25];
+ v_[603] = v_[146] * 0.5824264;
+ jac[778] = jac[796] + v_[427] * v_[212] + v_[429] * v_[220] + v_[424] * 0.47422804 + v_[425] * 0.0825825;
+ v_[681] = v_[430] * v_[207] + v_[431] * v_[209] + jac[778] * -1 + v_[146] * 0.5824264;
+ v_[658] = v_[594] * v_[215] + v_[428] * v_[68] + v_[632] * v_[630] + v_[603] * v_[708] + v_[658] * v_[676] - v_[681] * x_in[24];
+ jac[112] = 0 - (0 - (v_[560] + v_[449] * v_[89] + v_[682] * x_in[22]) + v_[682] * x_in[20] * -0.3735 - (v_[450] * v_[149] + v_[628] * x_in[23]) + v_[628] * x_in[19] * 0.3735 + v_[628] * x_in[18] * -0.207 - (v_[601] * x_in[19] + v_[658] * x_in[20])) * v_[659] + (v_[449] * v_[149] + v_[682] * x_in[23] + v_[601] * x_in[20] + v_[682] * x_in[19] * -0.3735 + v_[682] * x_in[18] * 0.207 - (v_[515] + v_[450] * v_[89] + v_[628] * x_in[22]) + v_[628] * x_in[20] * -0.3735 - v_[658] * x_in[19]) * v_[703];
+ v_[648] = v_[488] * 0.881;
+ v_[140] = v_[486] * -0.881;
+ v_[661] = v_[648] * v_[702] + v_[140] * v_[93];
+ v_[645] = v_[485] * 3.146;
+ v_[532] = v_[484] * -3.146;
+ v_[691] = v_[661] + v_[645] * v_[706] + v_[532] * v_[705];
+ v_[616] = v_[136] * 3.44;
+ v_[668] = 0 - v_[616];
+ v_[585] = v_[691] * -1 + v_[668] * v_[708] + v_[510] * x_in[24];
+ v_[607] = 0 - v_[648];
+ v_[617] = v_[506] * 0.881;
+ v_[660] = v_[607] * v_[677] + v_[617] * v_[93] + v_[489] * x_in[26];
+ v_[535] = 0 - v_[140];
+ v_[426] = 0 - v_[617];
+ v_[586] = v_[535] * v_[677] + v_[426] * v_[702] - v_[487] * x_in[26];
+ v_[568] = 0 - v_[645];
+ v_[567] = v_[506] * 3.146;
+ v_[558] = v_[660] * v_[67] + v_[586] * v_[70] + v_[568] * v_[680] + v_[567] * v_[705] + v_[491] * x_in[25];
+ v_[565] = 0 - v_[532];
+ v_[555] = 0 - v_[567];
+ v_[554] = v_[660] * v_[71] + v_[586] * v_[67] + v_[565] * v_[680] + v_[555] * v_[706] - v_[490] * x_in[25];
+ v_[545] = v_[128] * -3.44;
+ v_[552] = 0 - v_[545];
+ v_[540] = v_[558] * v_[65] + v_[554] * v_[68] + v_[552] * v_[708] - v_[509] * x_in[24];
+ v_[539] = v_[506] * 0.0004405 + v_[486] * -8.81e-05;
+ v_[526] = v_[506] * 0.1104774 + v_[488] * -8.81e-05;
+ v_[537] = (0 - v_[486]) * 0.0004405;
+ v_[519] = (0 - v_[488]) * 0.1104774;
+ v_[518] = v_[537] + v_[519];
+ v_[518] = v_[607] * v_[550] + v_[535] * v_[587] + v_[539] * v_[702] + v_[526] * v_[93] + v_[518] * v_[677] + v_[518] * v_[677];
+ v_[535] = v_[506] * -0.0825825;
+ v_[607] = v_[506] * 0.47422804;
+ v_[492] = (0 - v_[484]) * -0.0825825;
+ v_[516] = (0 - v_[485]) * 0.47422804;
+ v_[459] = v_[492] + v_[516];
+ v_[459] = v_[518] + v_[660] * v_[212] + v_[586] * v_[220] + v_[568] * v_[597] + v_[565] * v_[95] + v_[535] * v_[706] + v_[607] * v_[705] + v_[459] * v_[680] + v_[459] * v_[680];
+ v_[565] = v_[128] * 0.5824264;
+ v_[568] = v_[128] * 0.1466472;
+ v_[458] = (0 - v_[136]) * 0.1466472;
+ v_[432] = v_[506] * -0.1104774 + v_[488] * -8.81e-05;
+ v_[456] = v_[506] * 0.0004405 + v_[486] * 8.81e-05;
+ jac[473] = v_[487] * v_[584] + v_[489] * v_[550] + v_[432] * v_[549] + v_[456] * v_[702] + v_[518];
+ v_[507] = v_[507] * -0.35 + v_[432] * v_[67] + v_[456] * v_[70] + v_[506] * -0.47422804;
+ v_[518] = v_[432] * v_[78] + v_[456] * v_[67] + v_[506] * -0.0825825;
+ jac[455] = v_[490] * v_[624] + v_[491] * v_[597] + v_[507] * v_[602] + v_[518] * v_[706] + v_[459];
+ jac[761] = v_[508] * -0.08 + v_[507] * v_[68] + v_[518] * v_[64] + v_[128] * 0.1466472;
+ v_[508] = v_[507] * v_[215] + v_[518] * v_[68] + v_[128] * -0.5824264;
+ v_[459] = v_[558] * v_[207] + v_[554] * v_[209] + v_[459] * -1 + v_[616] * v_[630] + v_[565] * v_[708] + v_[568] * v_[704] + v_[458] * v_[676] + v_[458] * v_[676] + v_[508] * x_in[24];
+ v_[488] = v_[486] * 0.1104774 + v_[488] * 0.0004405;
+ v_[506] = (0 - v_[506]) * -8.81e-05;
+ v_[519] = v_[506] + v_[519];
+ v_[519] = v_[648] * v_[581] + v_[426] * v_[587] + v_[539] * v_[677] + v_[488] * v_[93] + v_[519] * v_[702] + v_[519] * v_[702] + v_[456] * x_in[26];
+ v_[506] = v_[506] + v_[537];
+ v_[506] = v_[140] * v_[581] + v_[617] * v_[550] + v_[526] * v_[677] + v_[488] * v_[702] + v_[506] * v_[93] + v_[506] * v_[93] - v_[432] * x_in[26];
+ v_[488] = v_[484] * 0.47422804 + v_[485] * -0.0825825;
+ v_[516] = v_[661] * -0.35 + v_[519] * v_[67] + v_[506] * v_[70] + v_[645] * v_[615] + v_[555] * v_[95] + v_[535] * v_[680] + v_[488] * v_[705] + v_[516] * v_[706] + v_[516] * v_[706] + v_[518] * x_in[25];
+ v_[488] = v_[519] * v_[78] + v_[506] * v_[67] + v_[532] * v_[615] + v_[567] * v_[597] + v_[607] * v_[680] + v_[488] * v_[706] + v_[492] * v_[705] + v_[492] * v_[705] - v_[507] * x_in[25];
+ v_[492] = v_[136] * 0.5824264;
+ jac[779] = jac[797] + v_[487] * v_[212] + v_[489] * v_[220] + v_[484] * 0.47422804 + v_[485] * 0.0825825;
+ v_[607] = v_[490] * v_[207] + v_[491] * v_[209] + jac[779] * -1 + v_[136] * 0.5824264;
+ v_[568] = v_[516] * v_[215] + v_[488] * v_[68] + v_[545] * v_[630] + v_[492] * v_[708] + v_[568] * v_[676] - v_[607] * x_in[24];
+ jac[113] = 0 - (0 - (v_[509] * v_[89] + v_[585] * x_in[22]) + v_[585] * x_in[20] * -0.3735 - (v_[515] + v_[510] * v_[149] + v_[540] * x_in[23]) + v_[540] * x_in[19] * 0.3735 + v_[540] * x_in[18] * -0.207 - (v_[459] * x_in[19] + v_[568] * x_in[20])) * v_[659] + (v_[560] + v_[509] * v_[149] + v_[585] * x_in[23] + v_[459] * x_in[20] + v_[585] * x_in[19] * -0.3735 + v_[585] * x_in[18] * 0.207 - (v_[510] * v_[89] + v_[540] * x_in[22]) + v_[540] * x_in[20] * -0.3735 - v_[568] * x_in[19]) * v_[703];
+ v_[560] = v_[522] * -8.81e-05;
+ v_[515] = v_[520] * -8.81e-05;
+ v_[567] = v_[560] * v_[702] + v_[515] * v_[93];
+ v_[532] = v_[567] * -1 + v_[531] * x_in[24];
+ v_[535] = 0 - v_[560];
+ v_[555] = v_[527] * 0.881 + (0 - v_[522]) * 0.1104774 + v_[520] * 0.0004405;
+ v_[645] = v_[535] * v_[677] + v_[555] * v_[93] + v_[523] * x_in[26];
+ v_[661] = 0 - v_[515];
+ v_[526] = 0 - v_[555];
+ v_[617] = v_[661] * v_[677] + v_[526] * v_[702] - v_[521] * x_in[26];
+ v_[140] = -0.25168 + (0 - v_[68]) * 0.47422804 + v_[64] * -0.0825825;
+ v_[537] = v_[645] * v_[67] + v_[617] * v_[70] + v_[140] * v_[705] + v_[525] * x_in[25];
+ v_[539] = 0 - v_[140];
+ v_[426] = v_[645] * v_[71] + v_[617] * v_[67] + v_[539] * v_[706] - v_[524] * x_in[25];
+ v_[648] = v_[537] * v_[65] + v_[426] * v_[68] + 0.1466472 * v_[708] - v_[530] * x_in[24];
+ jac[402] = v_[532] * v_[145] + v_[648] * v_[146];
+ jac[420] = v_[532] * v_[128] + v_[648] * v_[136];
+ v_[486] = v_[527] * 0.0004405 + v_[520] * -0.000227999999999999;
+ v_[399] = v_[527] * 0.1104774 + (0 - v_[522]) * 0.025713;
+ v_[661] = v_[535] * v_[550] + v_[661] * v_[587] + v_[486] * v_[702] + v_[399] * v_[93];
+ v_[535] = 0.0066066 + v_[68] * 0.007418 + v_[64] * 0.002735;
+ v_[398] = -0.0379382432 + (0 - v_[68]) * 0.084376 + (0 - v_[64]) * 0.007418;
+ v_[386] = v_[68] * 0.000102;
+ v_[396] = (0 - v_[64]) * 2.1e-05;
+ v_[357] = v_[386] + v_[396];
+ v_[357] = v_[661] + v_[645] * v_[212] + v_[617] * v_[220] + v_[535] * v_[706] + v_[398] * v_[705] + v_[357] * v_[680] + v_[357] * v_[680];
+ v_[522] = v_[527] * -0.1104774 + v_[522] * 0.026409;
+ v_[520] = v_[527] * 0.0004405 + v_[520] * 0.000468;
+ jac[474] = v_[521] * v_[584] + v_[523] * v_[550] + v_[522] * v_[549] + v_[520] * v_[702] + v_[661];
+ v_[528] = v_[528] * -0.35 + v_[522] * v_[67] + v_[520] * v_[70] + 0.0379382432 + v_[68] * 0.087136 + v_[64] * 0.007418;
+ v_[661] = v_[522] * v_[78] + v_[520] * v_[67] + 0.0066066 + v_[68] * 0.007418 + v_[64] * 0.005495;
+ jac[456] = v_[524] * v_[624] + v_[525] * v_[597] + v_[528] * v_[602] + v_[661] * v_[706] + v_[357];
+ jac[762] = v_[529] * -0.08 + v_[528] * v_[68] + v_[661] * v_[64] + 0.011033;
+ v_[529] = v_[528] * v_[215] + v_[661] * v_[68] - 0.022734;
+ v_[357] = v_[537] * v_[207] + v_[426] * v_[209] + v_[357] * -1 + 0.022734 * v_[708] + 0.009466 * v_[704] + 3.6e-05 * v_[676] + 3.6e-05 * v_[676] + v_[529] * x_in[24];
+ v_[527] = (0 - v_[527]) * -8.81e-05;
+ v_[486] = v_[560] * v_[581] + v_[526] * v_[587] + v_[486] * v_[677] + v_[527] * v_[702] + v_[527] * v_[702] + v_[520] * x_in[26];
+ v_[527] = v_[515] * v_[581] + v_[555] * v_[550] + v_[399] * v_[677] + v_[527] * v_[93] + v_[527] * v_[93] - v_[522] * x_in[26];
+ v_[399] = (0 - v_[68]) * 2.1e-05 + v_[64] * 0.000102;
+ v_[396] = 0 - v_[396];
+ v_[396] = v_[567] * -0.35 + v_[486] * v_[67] + v_[527] * v_[70] + v_[539] * v_[95] + v_[535] * v_[680] + v_[399] * v_[705] + v_[396] * v_[706] + v_[396] * v_[706] + v_[661] * x_in[25];
+ v_[386] = 0 - v_[386];
+ v_[386] = v_[486] * v_[78] + v_[527] * v_[67] + v_[140] * v_[597] + v_[398] * v_[680] + v_[399] * v_[706] + v_[386] * v_[705] + v_[386] * v_[705] - v_[528] * x_in[25];
+ v_[399] = v_[524] * v_[207] + v_[525] * v_[209] + jac[780] * -1 - 5.1e-05;
+ v_[398] = v_[396] * v_[215] + v_[386] * v_[68] + -0.1466472 * v_[630] + -5.1e-05 * v_[708] + 0.009466 * v_[676] + -3.6e-05 * v_[704] + -3.6e-05 * v_[704] - v_[399] * x_in[24];
+ jac[114] = 0 - (0 - (v_[530] * v_[89] + v_[532] * x_in[22]) + v_[532] * x_in[20] * -0.3735 - (v_[531] * v_[149] + v_[648] * x_in[23]) + v_[648] * x_in[19] * 0.3735 + v_[648] * x_in[18] * -0.207 - (v_[357] * x_in[19] + v_[398] * x_in[20])) * v_[659] + (v_[530] * v_[149] + v_[532] * x_in[23] + v_[357] * x_in[20] + v_[532] * x_in[19] * -0.3735 + v_[532] * x_in[18] * 0.207 - (v_[531] * v_[89] + v_[648] * x_in[22]) + v_[648] * x_in[20] * -0.3735 - v_[398] * x_in[19]) * v_[703];
+ jac[348] = v_[532] * v_[252] + v_[648] * v_[205] + v_[357] * v_[206] + v_[398] * v_[214];
+ v_[140] = v_[220] * 0.881 - 0.0004405;
+ v_[535] = v_[212] * -0.881;
+ v_[539] = v_[535] - 0.1104774;
+ v_[555] = v_[140] * v_[702] + v_[539] * v_[93];
+ v_[515] = v_[555] + 0.0825825 * v_[706] + -0.47422804 * v_[705];
+ v_[526] = v_[515] * -1 + v_[546] * x_in[24];
+ v_[560] = 0 - v_[140];
+ v_[356] = v_[560] * v_[677] + v_[542] * x_in[26];
+ v_[535] = 0 - v_[535] + 0.1104774;
+ v_[320] = v_[535] * v_[677] - v_[541] * x_in[26];
+ v_[354] = v_[356] * v_[67] + v_[320] * v_[70] + -0.0825825 * v_[680] + v_[544] * x_in[25];
+ v_[267] = v_[356] * v_[71] + v_[320] * v_[67] + 0.47422804 * v_[680] - v_[543] * x_in[25];
+ v_[266] = v_[354] * v_[65] + v_[267] * v_[68];
+ jac[403] = v_[526] * v_[145] + v_[266] * v_[146];
+ jac[421] = v_[526] * v_[128] + v_[266] * v_[136];
+ v_[226] = v_[212] * -8.81e-05;
+ v_[264] = v_[220] * -8.81e-05;
+ v_[157] = (0 - v_[212]) * 0.0004405;
+ v_[156] = (0 - v_[220]) * 0.1104774;
+ v_[83] = v_[157] + v_[156];
+ v_[83] = v_[560] * v_[550] + v_[535] * v_[587] + v_[226] * v_[702] + v_[264] * v_[93] + v_[83] * v_[677] + v_[83] * v_[677];
+ v_[535] = v_[83] + v_[356] * v_[212] + v_[320] * v_[220] + -0.0825825 * v_[597] + 0.47422804 * v_[95] + -0.000102 * v_[706] + 2.1e-05 * v_[705];
+ v_[560] = v_[220] * -8.81e-05;
+ v_[153] = v_[212] * 8.81e-05;
+ jac[475] = v_[541] * v_[584] + v_[542] * v_[550] + v_[560] * v_[549] + v_[153] * v_[702] + v_[83];
+ v_[83] = v_[560] * v_[67] + v_[153] * v_[70] + 2.1e-05;
+ v_[549] = v_[560] * v_[78] + v_[153] * v_[67] + 0.000102;
+ jac[457] = v_[543] * v_[624] + v_[544] * v_[597] + v_[83] * v_[602] + v_[549] * v_[706] + v_[535];
+ jac[763] = v_[83] * v_[68] + v_[549] * v_[64];
+ v_[602] = v_[83] * v_[215] + v_[549] * v_[68];
+ v_[535] = v_[354] * v_[207] + v_[267] * v_[209] + v_[535] * -1 + v_[602] * x_in[24];
+ v_[155] = v_[212] * 0.1104774 + v_[220] * 0.0004405 + 0.025941;
+ v_[156] = v_[140] * v_[581] + v_[226] * v_[677] + v_[155] * v_[93] + v_[156] * v_[702] + v_[156] * v_[702] + v_[153] * x_in[26];
+ v_[155] = v_[539] * v_[581] + v_[264] * v_[677] + v_[155] * v_[702] + v_[157] * v_[93] + v_[157] * v_[93] - v_[560] * x_in[26];
+ v_[555] = v_[555] * -0.35 + v_[156] * v_[67] + v_[155] * v_[70] + 0.0825825 * v_[615] + -0.000102 * v_[680] + 0.081641 * v_[705] + -0.007418 * v_[706] + -0.007418 * v_[706] + v_[549] * x_in[25];
+ v_[615] = v_[156] * v_[78] + v_[155] * v_[67] + -0.47422804 * v_[615] + 2.1e-05 * v_[680] + 0.081641 * v_[706] + 0.007418 * v_[705] + 0.007418 * v_[705] - v_[83] * x_in[25];
+ jac[781] = jac[799] + v_[541] * v_[212] + v_[542] * v_[220] + 0.089871;
+ v_[157] = v_[543] * v_[207] + v_[544] * v_[209] + jac[781] * -1;
+ v_[264] = v_[555] * v_[215] + v_[615] * v_[68] - v_[157] * x_in[24];
+ jac[115] = 0 - (0 - v_[526] * x_in[22] + v_[526] * x_in[20] * -0.3735 - (v_[546] * v_[149] + v_[266] * x_in[23]) + v_[266] * x_in[19] * 0.3735 + v_[266] * x_in[18] * -0.207 - (v_[535] * x_in[19] + v_[264] * x_in[20])) * v_[659] + (v_[526] * x_in[23] + v_[535] * x_in[20] + v_[526] * x_in[19] * -0.3735 + v_[526] * x_in[18] * 0.207 - (v_[546] * v_[89] + v_[266] * x_in[22]) + v_[266] * x_in[20] * -0.3735 - v_[264] * x_in[19]) * v_[703];
+ jac[349] = v_[526] * v_[252] + v_[266] * v_[205] + v_[535] * v_[206] + v_[264] * v_[214];
+ v_[539] = -0.0004405 * v_[702] + -0.1104774 * v_[93];
+ v_[226] = v_[539] * -1 + v_[559] * x_in[24];
+ v_[140] = 0.0004405 * v_[677] + -0.0004405 * x_in[26];
+ v_[677] = 0.1104774 * v_[677] - 0.1104774 * x_in[26];
+ v_[92] = v_[140] * v_[67] + v_[677] * v_[70] + v_[557] * x_in[25];
+ v_[71] = v_[140] * v_[71] + v_[677] * v_[67] - v_[556] * x_in[25];
+ v_[65] = v_[92] * v_[65] + v_[71] * v_[68];
+ jac[404] = v_[226] * v_[145] + v_[65] * v_[146];
+ jac[422] = v_[226] * v_[128] + v_[65] * v_[136];
+ v_[587] = 0.0004405 * v_[550] + 0.1104774 * v_[587];
+ jac[476] = 0.1104774 * v_[584] + -0.0004405 * v_[550] + v_[587];
+ v_[587] = v_[587] + v_[140] * v_[212] + v_[677] * v_[220];
+ jac[458] = v_[556] * v_[624] + v_[557] * v_[597] + v_[587];
+ v_[587] = v_[92] * v_[207] + v_[71] * v_[209] + v_[587] * -1;
+ v_[93] = -0.0004405 * v_[581] + 0.025941 * v_[93];
+ v_[581] = -0.1104774 * v_[581] + 0.025941 * v_[702];
+ v_[70] = v_[539] * -0.35 + v_[93] * v_[67] + v_[581] * v_[70];
+ v_[78] = v_[93] * v_[78] + v_[581] * v_[67];
+ v_[209] = v_[556] * v_[207] + v_[557] * v_[209] + jac[782] * -1;
+ v_[215] = v_[70] * v_[215] + v_[78] * v_[68] - v_[209] * x_in[24];
+ jac[116] = 0 - (0 - v_[226] * x_in[22] + v_[226] * x_in[20] * -0.3735 - (v_[559] * v_[149] + v_[65] * x_in[23]) + v_[65] * x_in[19] * 0.3735 + v_[65] * x_in[18] * -0.207 - (v_[587] * x_in[19] + v_[215] * x_in[20])) * v_[659] + (v_[226] * x_in[23] + v_[587] * x_in[20] + v_[226] * x_in[19] * -0.3735 + v_[226] * x_in[18] * 0.207 - (v_[559] * v_[89] + v_[65] * x_in[22]) + v_[65] * x_in[20] * -0.3735 - v_[215] * x_in[19]) * v_[703];
+ jac[350] = v_[226] * v_[252] + v_[65] * v_[205] + v_[587] * v_[206] + v_[215] * v_[214];
+ v_[703] = sin(x_in[7]);
+ v_[659] = cos(x_in[7]);
+ jac[126] = 0 - (v_[63] * v_[513] + -1 * v_[534] + v_[81] * v_[148] + v_[82] * v_[640] + v_[132] * x_in[42] + v_[130] * v_[598] + v_[656] * v_[630] + v_[654] * v_[141] + v_[393] * v_[708] + v_[452] * v_[704] + (v_[81] * v_[626] + v_[656] * v_[676]) * -0.08) * v_[703] + (-1 * v_[139] + v_[82] * v_[148] + v_[130] * x_in[42] + v_[654] * v_[630] + v_[452] * v_[708] - (v_[63] * v_[536] + v_[81] * v_[640] + v_[656] * v_[141]) + (v_[82] * v_[626] + v_[654] * v_[676]) * -0.08 - (v_[132] * v_[598] + v_[393] * v_[704])) * v_[659];
+ jac[127] = 0 - (v_[205] * v_[513] + v_[214] * v_[139] + v_[224] * v_[148] + v_[225] * v_[640] + v_[255] * x_in[42] + v_[253] * v_[598] + v_[151] * v_[630] + v_[152] * v_[141] + v_[85] * v_[708] + v_[610] * v_[704] + (v_[206] * v_[536] + v_[224] * v_[626] + v_[151] * v_[676]) * -0.08) * v_[703] + (v_[225] * v_[148] + v_[253] * x_in[42] + v_[152] * v_[630] + v_[610] * v_[708] - (v_[205] * v_[536] + v_[224] * v_[640] + v_[151] * v_[141]) + (v_[206] * v_[513] + v_[225] * v_[626] + v_[152] * v_[676]) * -0.08 - (v_[214] * v_[534] + v_[255] * v_[598] + v_[85] * v_[704])) * v_[659];
+ jac[128] = 0 - (0.207 * v_[536] + v_[306] * v_[513] + v_[206] * v_[139] + v_[318] * v_[148] + v_[319] * v_[640] + v_[345] * x_in[42] + v_[343] * v_[598] + v_[547] * v_[630] + v_[551] * v_[141] + v_[613] * v_[708] + v_[454] * v_[704] + (v_[128] * v_[536] + v_[318] * v_[626] + v_[547] * v_[676]) * -0.08) * v_[703] + (0.207 * v_[513] + v_[319] * v_[148] + v_[343] * x_in[42] + v_[551] * v_[630] + v_[454] * v_[708] - (v_[306] * v_[536] + v_[318] * v_[640] + v_[547] * v_[141]) + (v_[128] * v_[513] + v_[319] * v_[626] + v_[551] * v_[676]) * -0.08 - (v_[206] * v_[534] + v_[345] * v_[598] + v_[613] * v_[704])) * v_[659];
+ jac[129] = 0 - (-1 * v_[536] + v_[384] * v_[148] + v_[385] * v_[640] + v_[353] * x_in[42] + v_[697] * v_[598] + v_[562] * v_[630] + v_[355] * v_[141] + v_[455] * v_[708] + v_[310] * v_[704] + (v_[384] * v_[626] + v_[562] * v_[676]) * -0.08) * v_[703] + (-1 * v_[513] + v_[385] * v_[148] + v_[697] * x_in[42] + v_[355] * v_[630] + v_[310] * v_[708] - (v_[384] * v_[640] + v_[562] * v_[141]) + (v_[385] * v_[626] + v_[355] * v_[676]) * -0.08 - (v_[353] * v_[598] + v_[455] * v_[704])) * v_[659];
+ jac[130] = 0 - (v_[146] * v_[513] + v_[430] * v_[148] + v_[431] * v_[640] + v_[447] * x_in[42] + v_[604] * v_[598] + v_[647] * v_[630] + v_[633] * v_[141] + v_[594] * v_[708] + v_[428] * v_[704] + (v_[430] * v_[626] + v_[647] * v_[676]) * -0.08) * v_[703] + (v_[431] * v_[148] + v_[604] * x_in[42] + v_[633] * v_[630] + v_[428] * v_[708] - (v_[146] * v_[536] + v_[430] * v_[640] + v_[647] * v_[141]) + (v_[431] * v_[626] + v_[633] * v_[676]) * -0.08 - (v_[447] * v_[598] + v_[594] * v_[704])) * v_[659];
+ jac[131] = 0 - (v_[136] * v_[513] + v_[490] * v_[148] + v_[491] * v_[640] + v_[507] * x_in[42] + v_[518] * v_[598] + v_[558] * v_[630] + v_[554] * v_[141] + v_[516] * v_[708] + v_[488] * v_[704] + (v_[490] * v_[626] + v_[558] * v_[676]) * -0.08) * v_[703] + (v_[491] * v_[148] + v_[518] * x_in[42] + v_[554] * v_[630] + v_[488] * v_[708] - (v_[136] * v_[536] + v_[490] * v_[640] + v_[558] * v_[141]) + (v_[491] * v_[626] + v_[554] * v_[676]) * -0.08 - (v_[507] * v_[598] + v_[516] * v_[704])) * v_[659];
+ jac[132] = 0 - (v_[534] + v_[524] * v_[148] + v_[525] * v_[640] + v_[528] * x_in[42] + v_[661] * v_[598] + v_[537] * v_[630] + v_[426] * v_[141] + v_[396] * v_[708] + v_[386] * v_[704] + (v_[524] * v_[626] + v_[537] * v_[676]) * -0.08) * v_[703] + (v_[139] + v_[525] * v_[148] + v_[661] * x_in[42] + v_[426] * v_[630] + v_[386] * v_[708] - (v_[524] * v_[640] + v_[537] * v_[141]) + (v_[525] * v_[626] + v_[426] * v_[676]) * -0.08 - (v_[528] * v_[598] + v_[396] * v_[704])) * v_[659];
+ jac[133] = 0 - (v_[543] * v_[148] + v_[544] * v_[640] + v_[83] * x_in[42] + v_[549] * v_[598] + v_[354] * v_[630] + v_[267] * v_[141] + v_[555] * v_[708] + v_[615] * v_[704] + (v_[543] * v_[626] + v_[354] * v_[676]) * -0.08) * v_[703] + (v_[544] * v_[148] + v_[549] * x_in[42] + v_[267] * v_[630] + v_[615] * v_[708] - (v_[543] * v_[640] + v_[354] * v_[141]) + (v_[544] * v_[626] + v_[267] * v_[676]) * -0.08 - (v_[83] * v_[598] + v_[555] * v_[704])) * v_[659];
+ jac[134] = 0 - (v_[556] * v_[148] + v_[557] * v_[640] + v_[92] * v_[630] + v_[71] * v_[141] + v_[70] * v_[708] + v_[78] * v_[704] + (v_[556] * v_[626] + v_[92] * v_[676]) * -0.08) * v_[703] + (v_[557] * v_[148] + v_[71] * v_[630] + v_[78] * v_[708] - (v_[556] * v_[640] + v_[92] * v_[141]) + (v_[557] * v_[626] + v_[71] * v_[676]) * -0.08 - v_[70] * v_[704]) * v_[659];
+ v_[659] = sin(x_in[8]);
+ v_[703] = cos(x_in[8]);
+ jac[144] = 0 - (v_[66] * v_[561] + v_[69] * v_[564] + v_[73] * v_[548] + v_[74] * v_[511] + v_[76] * v_[625] + v_[80] * v_[583] + v_[79] * v_[599] + v_[75] * v_[600] + v_[674] * v_[597] + v_[675] * v_[95] + v_[457] * v_[706] + v_[131] * v_[705] + (v_[76] * v_[611] + v_[674] * v_[680]) * 0.35) * v_[659] + (v_[66] * v_[564] + v_[73] * v_[511] + v_[80] * v_[625] + v_[75] * v_[599] + v_[675] * v_[597] + v_[131] * v_[706] - (v_[69] * v_[561] + v_[76] * v_[583] + v_[674] * v_[95]) + (v_[80] * v_[611] + v_[675] * v_[680]) * 0.35 - (v_[74] * v_[548] + v_[79] * v_[600] + v_[457] * v_[705])) * v_[703];
+ jac[145] = 0 - (v_[208] * v_[561] + v_[210] * v_[564] + v_[216] * v_[548] + v_[217] * v_[511] + v_[219] * v_[625] + v_[223] * v_[583] + v_[222] * v_[599] + v_[218] * v_[600] + v_[260] * v_[597] + v_[72] * v_[95] + v_[612] * v_[706] + v_[254] * v_[705] + (v_[211] * v_[561] + v_[219] * v_[611] + v_[260] * v_[680]) * 0.35) * v_[659] + (v_[208] * v_[564] + v_[216] * v_[511] + v_[223] * v_[625] + v_[218] * v_[599] + v_[72] * v_[597] + v_[254] * v_[706] - (v_[210] * v_[561] + v_[219] * v_[583] + v_[260] * v_[95]) + (v_[211] * v_[564] + v_[223] * v_[611] + v_[72] * v_[680]) * 0.35 - (v_[217] * v_[548] + v_[222] * v_[600] + v_[612] * v_[705])) * v_[703];
+ jac[146] = 0 - (v_[307] * v_[561] + v_[308] * v_[564] + v_[311] * v_[548] + v_[312] * v_[511] + v_[314] * v_[625] + v_[317] * v_[583] + v_[316] * v_[599] + v_[313] * v_[600] + v_[582] * v_[597] + v_[653] * v_[95] + v_[351] * v_[706] + v_[344] * v_[705] + (v_[309] * v_[561] + v_[314] * v_[611] + v_[582] * v_[680]) * 0.35) * v_[659] + (v_[307] * v_[564] + v_[311] * v_[511] + v_[317] * v_[625] + v_[313] * v_[599] + v_[653] * v_[597] + v_[344] * v_[706] - (v_[308] * v_[561] + v_[314] * v_[583] + v_[582] * v_[95]) + (v_[309] * v_[564] + v_[317] * v_[611] + v_[653] * v_[680]) * 0.35 - (v_[312] * v_[548] + v_[316] * v_[600] + v_[351] * v_[705])) * v_[703];
+ jac[147] = 0 - (v_[378] * v_[561] + v_[379] * v_[564] + v_[381] * v_[625] + v_[383] * v_[583] + v_[514] * v_[599] + v_[259] * v_[600] + v_[678] * v_[597] + v_[517] * v_[95] + v_[566] * v_[706] + v_[382] * v_[705] + (v_[381] * v_[611] + v_[678] * v_[680]) * 0.35) * v_[659] + (v_[378] * v_[564] + v_[383] * v_[625] + v_[259] * v_[599] + v_[517] * v_[597] + v_[382] * v_[706] - (v_[379] * v_[561] + v_[381] * v_[583] + v_[678] * v_[95]) + (v_[383] * v_[611] + v_[517] * v_[680]) * 0.35 - (v_[514] * v_[600] + v_[566] * v_[705])) * v_[703];
+ jac[148] = 0 - (v_[424] * v_[561] + v_[425] * v_[564] + v_[427] * v_[625] + v_[429] * v_[583] + v_[588] * v_[599] + v_[575] * v_[600] + v_[679] * v_[597] + v_[651] * v_[95] + v_[614] * v_[706] + v_[446] * v_[705] + (v_[427] * v_[611] + v_[679] * v_[680]) * 0.35) * v_[659] + (v_[424] * v_[564] + v_[429] * v_[625] + v_[575] * v_[599] + v_[651] * v_[597] + v_[446] * v_[706] - (v_[425] * v_[561] + v_[427] * v_[583] + v_[679] * v_[95]) + (v_[429] * v_[611] + v_[651] * v_[680]) * 0.35 - (v_[588] * v_[600] + v_[614] * v_[705])) * v_[703];
+ jac[149] = 0 - (v_[484] * v_[561] + v_[485] * v_[564] + v_[487] * v_[625] + v_[489] * v_[583] + v_[432] * v_[599] + v_[456] * v_[600] + v_[660] * v_[597] + v_[586] * v_[95] + v_[519] * v_[706] + v_[506] * v_[705] + (v_[487] * v_[611] + v_[660] * v_[680]) * 0.35) * v_[659] + (v_[484] * v_[564] + v_[489] * v_[625] + v_[456] * v_[599] + v_[586] * v_[597] + v_[506] * v_[706] - (v_[485] * v_[561] + v_[487] * v_[583] + v_[660] * v_[95]) + (v_[489] * v_[611] + v_[586] * v_[680]) * 0.35 - (v_[432] * v_[600] + v_[519] * v_[705])) * v_[703];
+ jac[150] = 0 - (v_[68] * v_[548] + v_[64] * v_[511] + v_[521] * v_[625] + v_[523] * v_[583] + v_[522] * v_[599] + v_[520] * v_[600] + v_[645] * v_[597] + v_[617] * v_[95] + v_[486] * v_[706] + v_[527] * v_[705] + (v_[521] * v_[611] + v_[645] * v_[680]) * 0.35) * v_[659] + (v_[68] * v_[511] + v_[523] * v_[625] + v_[520] * v_[599] + v_[617] * v_[597] + v_[527] * v_[706] - (v_[521] * v_[583] + v_[645] * v_[95]) + (v_[523] * v_[611] + v_[617] * v_[680]) * 0.35 - (v_[64] * v_[548] + v_[522] * v_[600] + v_[486] * v_[705])) * v_[703];
+ jac[151] = 0 - (v_[541] * v_[625] + v_[542] * v_[583] + v_[560] * v_[599] + v_[153] * v_[600] + v_[356] * v_[597] + v_[320] * v_[95] + v_[156] * v_[706] + v_[155] * v_[705] + (v_[561] + v_[541] * v_[611] + v_[356] * v_[680]) * 0.35) * v_[659] + (v_[542] * v_[625] + v_[153] * v_[599] + v_[320] * v_[597] + v_[155] * v_[706] - (v_[541] * v_[583] + v_[356] * v_[95]) + (v_[564] + v_[542] * v_[611] + v_[320] * v_[680]) * 0.35 - (v_[560] * v_[600] + v_[156] * v_[705])) * v_[703];
+ jac[152] = 0 - (0.1104774 * v_[625] + -0.0004405 * v_[583] + v_[140] * v_[597] + v_[677] * v_[95] + v_[93] * v_[706] + v_[581] * v_[705] + (0.1104774 * v_[611] + v_[140] * v_[680]) * 0.35) * v_[659] + (-0.0004405 * v_[625] + v_[677] * v_[597] + v_[581] * v_[706] - (0.1104774 * v_[583] + v_[140] * v_[95]) + (-0.0004405 * v_[611] + v_[677] * v_[680]) * 0.35 - v_[93] * v_[705]) * v_[703];
+ v_[703] = v_[54] * 0.881 + v_[56] * -8.81e-05;
+ v_[659] = v_[119] * x_in[19] + v_[296] * x_in[20];
+ v_[581] = x_in[18] + x_in[27];
+ v_[93] = v_[45] * v_[659] + v_[51] * v_[581];
+ v_[677] = v_[51] * v_[659] + v_[50] * v_[581];
+ v_[140] = v_[55] * v_[93] + v_[44] * v_[677];
+ v_[583] = v_[49] * -0.881;
+ v_[597] = v_[52] * -8.81e-05;
+ v_[611] = v_[583] + v_[597];
+ v_[625] = v_[44] * v_[93] + v_[47] * v_[677];
+ v_[95] = v_[703] * v_[140] + v_[611] * v_[625];
+ v_[680] = v_[46] * 3.146;
+ v_[706] = v_[43] * -3.146;
+ v_[705] = v_[95] + v_[680] * v_[677] + v_[706] * v_[93];
+ v_[155] = v_[40] * 3.44;
+ v_[156] = 0 - v_[155];
+ v_[153] = v_[705] + v_[156] * v_[581] + v_[126] * x_in[27];
+ v_[560] = 0 - v_[703];
+ v_[320] = 0.207 * x_in[20] + x_in[21];
+ v_[356] = v_[292] * x_in[20] + v_[189] * x_in[19] + v_[40] * x_in[18] + v_[127] * x_in[23] + v_[119] * x_in[22];
+ v_[564] = v_[39] * x_in[19] + v_[119] * x_in[20];
+ v_[561] = v_[59] * v_[320] + v_[42] * v_[356] + v_[190] * v_[564];
+ v_[600] = v_[61] * v_[320] + v_[45] * v_[356] + v_[41] * v_[564];
+ v_[599] = v_[564] + x_in[28];
+ v_[542] = v_[44] * v_[561] + v_[48] * v_[600] + v_[193] * v_[599];
+ v_[597] = 0 - v_[583] - v_[597];
+ v_[583] = v_[47] * v_[561] + v_[44] * v_[600] + v_[199] * v_[599];
+ v_[541] = v_[122] * 0.0004405 + v_[49] * -8.81e-05 + v_[52] * -0.000227999999999999;
+ v_[527] = v_[122] * 0.1104774 + v_[54] * -8.81e-05 + (0 - v_[56]) * 0.025713;
+ v_[486] = (0 - v_[49]) * 0.0004405;
+ v_[520] = (0 - v_[54]) * 0.1104774;
+ v_[522] = v_[486] + v_[520];
+ v_[617] = v_[599] + x_in[29];
+ v_[522] = v_[560] * v_[542] + v_[597] * v_[583] + v_[541] * v_[140] + v_[527] * v_[625] + v_[522] * v_[617] + v_[522] * v_[617];
+ v_[645] = v_[122] * 0.881 + (0 - v_[56]) * 0.1104774 + v_[52] * 0.0004405;
+ v_[560] = v_[560] * v_[617] + v_[645] * v_[625] + v_[57] * x_in[29];
+ v_[511] = 0 - v_[645];
+ v_[597] = v_[597] * v_[617] + v_[511] * v_[140] - v_[53] * x_in[29];
+ v_[548] = 0 - v_[680];
+ v_[523] = 0 - v_[706];
+ v_[521] = v_[121] * -0.0825825 + v_[50] * 0.007418 + v_[51] * 0.002735;
+ v_[506] = v_[121] * 0.47422804 + (0 - v_[50]) * 0.084376 + (0 - v_[51]) * 0.007418;
+ v_[519] = (0 - v_[43]) * -0.0825825;
+ v_[456] = (0 - v_[46]) * 0.47422804;
+ v_[432] = v_[50] * 0.000102;
+ v_[586] = (0 - v_[51]) * 2.1e-05;
+ v_[660] = v_[519] + v_[456] + v_[432] + v_[586];
+ v_[660] = v_[522] + v_[560] * v_[193] + v_[597] * v_[199] + v_[548] * v_[561] + v_[523] * v_[600] + v_[521] * v_[677] + v_[506] * v_[93] + v_[660] * v_[599] + v_[660] * v_[599];
+ v_[489] = v_[121] * 3.146 + (0 - v_[50]) * 0.47422804 + v_[51] * -0.0825825;
+ v_[548] = v_[560] * v_[44] + v_[597] * v_[47] + v_[548] * v_[599] + v_[489] * v_[93] + v_[60] * x_in[28];
+ v_[487] = 0 - v_[489];
+ v_[523] = v_[560] * v_[48] + v_[597] * v_[44] + v_[523] * v_[599] + v_[487] * v_[677] - v_[58] * x_in[28];
+ v_[485] = v_[120] * -0.5824264 - 0.022734;
+ v_[484] = v_[120] * 0.1466472 + 0.009466;
+ v_[446] = (0 - v_[40]) * 0.1466472;
+ v_[614] = v_[446] - 3.6e-05;
+ v_[56] = v_[122] * -0.1104774 + v_[54] * -8.81e-05 + v_[56] * 0.026409;
+ v_[52] = v_[122] * 0.0004405 + v_[49] * 8.81e-05 + v_[52] * 0.000468;
+ v_[123] = v_[123] * -0.35 + v_[56] * v_[44] + v_[52] * v_[47] + v_[121] * -0.47422804 + v_[50] * 0.087136 + v_[51] * 0.007418;
+ v_[121] = v_[56] * v_[55] + v_[52] * v_[44] + v_[121] * -0.0825825 + v_[50] * 0.007418 + v_[51] * 0.005495;
+ jac[810] = v_[124] * 0.08 + v_[123] * v_[50] + v_[121] * v_[51] + v_[120] * 0.1466472 + 0.011033;
+ v_[124] = v_[123] * v_[51] + v_[121] * v_[45] + v_[120] * 0.5824264 + 0.022734;
+ v_[614] = v_[660] + v_[548] * v_[190] + v_[523] * v_[41] + v_[155] * v_[320] + v_[485] * v_[581] + v_[484] * v_[659] + v_[614] * v_[564] + v_[614] * v_[564] + v_[124] * x_in[27];
+ v_[575] = v_[120] * -3.44;
+ v_[588] = 0 - v_[575] + 0.1466472;
+ v_[651] = v_[548] * v_[42] + v_[523] * v_[45] + v_[588] * v_[581] - v_[125] * x_in[27];
+ v_[679] = v_[337] * x_in[20] + v_[246] * x_in[19] + v_[120] * x_in[18] + v_[119] * x_in[23] + v_[39] * x_in[22];
+ v_[429] = v_[127] * v_[149] + v_[119] * v_[89] + v_[679] * x_in[27];
+ v_[427] = 0 - v_[659];
+ v_[425] = v_[427] * x_in[27];
+ v_[424] = v_[564] * v_[320] - v_[581] * v_[679];
+ v_[382] = v_[659] * v_[581];
+ v_[566] = 0 - v_[600];
+ v_[259] = v_[59] * v_[150] + v_[42] * v_[429] + v_[190] * v_[425] + v_[566] * x_in[28];
+ v_[514] = v_[425] + x_in[46];
+ v_[517] = 0.08 * v_[581] + v_[679];
+ v_[678] = v_[93] * v_[517];
+ v_[383] = v_[599] * v_[600];
+ v_[381] = v_[93] * v_[677];
+ v_[379] = v_[514] + x_in[47];
+ v_[378] = v_[564] * x_in[27];
+ v_[344] = 0 - v_[93];
+ jac[504] = v_[58] * v_[566] + v_[60] * v_[561] + v_[123] * v_[344] + v_[121] * v_[677] + v_[660];
+ v_[660] = v_[50] * x_in[45] + v_[51] * v_[378] + v_[344] * x_in[28];
+ v_[351] = v_[51] * x_in[45] + v_[45] * v_[378] + v_[677] * x_in[28];
+ v_[313] = v_[47] * v_[660] + v_[44] * v_[351] + v_[140] * x_in[29];
+ v_[316] = v_[61] * v_[150] + v_[45] * v_[429] + v_[41] * v_[425] + v_[561] * x_in[28];
+ v_[653] = 0 - v_[583];
+ v_[582] = v_[44] * v_[259] + v_[48] * v_[316] + v_[193] * v_[514] + v_[653] * x_in[29];
+ v_[317] = -0.35 * v_[677] + v_[517];
+ v_[314] = v_[625] * v_[317];
+ v_[312] = v_[617] * v_[583];
+ v_[311] = v_[625] * v_[140];
+ v_[309] = v_[140] * v_[617];
+ v_[308] = v_[617] * v_[617];
+ v_[307] = v_[625] * v_[625];
+ v_[254] = 0.1104774 * v_[379] + 8.81e-05 * v_[313] + 0.881 * v_[582] + -0.881 * (v_[314] - v_[312]) + 0.1104774 * v_[311] + -8.81e-05 * v_[309] - 0.0004405 * (v_[308] + v_[307]);
+ v_[612] = 0 - v_[625];
+ jac[522] = v_[53] * v_[653] + v_[57] * v_[542] + v_[56] * v_[612] + v_[52] * v_[140] + v_[522];
+ v_[522] = v_[44] * v_[660] + v_[55] * v_[351] + v_[612] * x_in[29];
+ v_[218] = v_[47] * v_[259] + v_[44] * v_[316] + v_[199] * v_[514] + v_[542] * x_in[29];
+ v_[222] = v_[140] * v_[317] - v_[617] * v_[542];
+ v_[72] = v_[625] * v_[617];
+ v_[260] = v_[140] * v_[140];
+ v_[308] = -0.0004405 * v_[379] + -8.81e-05 * v_[522] + 0.881 * v_[218] + 0.881 * v_[222] + -8.81e-05 * v_[72] + 0.0004405 * v_[311] - 0.1104774 * (v_[308] + v_[260]);
+ v_[223] = v_[599] * v_[599];
+ v_[219] = v_[93] * v_[93];
+ v_[217] = 3.146 * v_[259] + 0.47422804 * v_[514] + -3.146 * (v_[678] - v_[383]) + 0.47422804 * v_[381] + v_[44] * v_[254] + v_[47] * v_[308] - -0.0825825 * (v_[223] + v_[219]);
+ v_[216] = v_[677] * v_[517] - v_[599] * v_[561];
+ v_[211] = v_[677] * v_[677];
+ v_[210] = 3.146 * v_[316] + 0.0825825 * v_[514] + 3.146 * v_[216] + -0.0825825 * v_[381] + v_[48] * v_[254] + v_[44] * v_[308] - 0.47422804 * (v_[223] + v_[211]);
+ v_[208] = v_[581] * v_[581];
+ v_[131] = v_[564] * v_[564];
+ v_[457] = 3.44 * v_[429] + -0.5824264 * v_[425] + 3.44 * v_[424] + -0.5824264 * v_[382] + v_[42] * v_[217] + v_[45] * v_[210] - 0.1466472 * (v_[208] + v_[131]);
+ v_[54] = v_[49] * 0.1104774 + v_[54] * 0.0004405;
+ v_[122] = (0 - v_[122]) * -8.81e-05;
+ v_[520] = v_[122] + v_[520];
+ v_[520] = v_[703] * v_[317] + v_[511] * v_[583] + v_[541] * v_[617] + v_[54] * v_[625] + v_[520] * v_[140] + v_[520] * v_[140] + v_[52] * x_in[29];
+ v_[122] = v_[122] + v_[486];
+ v_[122] = v_[611] * v_[317] + v_[645] * v_[542] + v_[527] * v_[617] + v_[54] * v_[140] + v_[122] * v_[625] + v_[122] * v_[625] - v_[56] * x_in[29];
+ v_[54] = v_[43] * 0.47422804 + v_[46] * -0.0825825 + (0 - v_[50]) * 2.1e-05 + v_[51] * 0.000102;
+ v_[586] = v_[456] - v_[586];
+ v_[586] = v_[95] * -0.35 + v_[520] * v_[44] + v_[122] * v_[47] + v_[680] * v_[517] + v_[487] * v_[600] + v_[521] * v_[599] + v_[54] * v_[93] + v_[586] * v_[677] + v_[586] * v_[677] + v_[121] * x_in[28];
+ v_[432] = v_[519] - v_[432];
+ v_[432] = v_[520] * v_[55] + v_[122] * v_[44] + v_[706] * v_[517] + v_[489] * v_[561] + v_[506] * v_[599] + v_[54] * v_[677] + v_[432] * v_[93] + v_[432] * v_[93] - v_[123] * x_in[28];
+ v_[575] = v_[575] - 0.1466472;
+ v_[54] = v_[40] * -0.5824264 - 5.1e-05;
+ jac[828] = jac[846] + v_[53] * v_[193] + v_[57] * v_[199] + v_[43] * 0.47422804 + v_[46] * 0.0825825 + v_[50] * 2.1e-05 + v_[51] * 0.000102;
+ v_[489] = jac[828] + v_[58] * v_[190] + v_[60] * v_[41] + v_[40] * -0.5824264 - 5.1e-05;
+ v_[484] = v_[586] * v_[51] + v_[432] * v_[45] + v_[575] * v_[320] + v_[54] * v_[581] + v_[484] * v_[564] + 3.6e-05 * v_[659] + 3.6e-05 * v_[659] - v_[489] * x_in[27];
+ v_[506] = sin(x_in[9]);
+ v_[706] = 0 - v_[356];
+ v_[519] = v_[119] * v_[149] + v_[39] * v_[89] + v_[706] * x_in[27];
+ v_[487] = v_[659] * v_[564];
+ v_[521] = v_[659] * v_[320];
+ v_[680] = v_[581] * v_[356];
+ v_[95] = v_[564] * v_[581];
+ v_[456] = 0.08 * x_in[45] + v_[519];
+ v_[645] = v_[93] * v_[599];
+ v_[527] = v_[93] * v_[561] - v_[677] * v_[600];
+ v_[611] = v_[677] * v_[599];
+ v_[486] = -0.35 * v_[660] + v_[456];
+ v_[511] = v_[625] * v_[542] - v_[140] * v_[583];
+ v_[260] = -0.1104774 * v_[522] + 0.0004405 * v_[313] + 0.881 * v_[486] + 0.881 * v_[511] + 0.1104774 * v_[72] + 0.0004405 * v_[309] - -8.81e-05 * (v_[260] + v_[307]);
+ v_[307] = 0.1466472 * x_in[45] + 0.5824264 * v_[378] + 3.44 * v_[519] + 0.1466472 * v_[487] + -3.44 * (v_[521] - v_[680]) + -0.5824264 * v_[95] + -0.47422804 * v_[660] + -0.0825825 * v_[351] + 3.146 * v_[456] + 0.47422804 * v_[645] + 3.146 * v_[527] + -0.0825825 * v_[611] + v_[260];
+ v_[541] = cos(x_in[9]);
+ jac[162] = 0 - (v_[125] * v_[89] + v_[153] * x_in[22] + v_[614] * x_in[19] + v_[153] * x_in[20] * 0.3735 - (v_[126] * v_[149] + v_[651] * x_in[23]) + v_[651] * x_in[19] * 0.3735 + (v_[457] + v_[651] * x_in[18]) * 0.207 - v_[484] * x_in[20]) * v_[506] + (v_[125] * v_[149] + v_[126] * v_[89] + v_[153] * x_in[23] + v_[651] * x_in[22] + v_[614] * x_in[20] + v_[484] * x_in[19] + v_[153] * x_in[19] * -0.3735 + (v_[307] + v_[153] * x_in[18]) * -0.207 + v_[651] * x_in[20] * 0.3735) * v_[541];
+ v_[216] = -5.1e-05 * x_in[45] + 0.144171 * v_[425] + 3.6e-05 * v_[378] + -0.1466472 * v_[150] + -0.5824264 * v_[429] + -0.5824264 * v_[424] + 3.6e-05 * v_[95] + 0.022734 * (v_[208] - v_[659] * v_[659]) + v_[190] * v_[217] + v_[41] * v_[210] + 0.089871 * v_[514] + 2.1e-05 * v_[660] + 0.000102 * v_[351] + 0.47422804 * v_[259] + 0.0825825 * v_[316] + 0.47422804 * (v_[383] - v_[678]) + 0.081641 * v_[381] + 2.1e-05 * v_[645] + v_[193] * v_[254] + v_[199] * v_[308] + 0.1104774 * v_[582] + -0.0004405 * v_[218] + 0.026181 * v_[379] + 0.1104774 * (v_[312] - v_[314]) + 0.025941 * v_[311] - 0.0004405 * v_[222] - -0.0825825 * v_[216] - 0.000102 * v_[611] - 0.007418 * (v_[211] - v_[219]) - 0.1466472 * (v_[659] * v_[679] - v_[564] * v_[356]) - -0.123672 * v_[382] - -5.1e-05 * v_[487];
+ v_[311] = v_[200] * 0.881 + (0 - v_[39]) * 0.0004405 + v_[201] * -8.81e-05;
+ v_[379] = v_[194] * -0.881;
+ v_[383] = v_[39] * 0.1104774;
+ v_[678] = v_[197] * -8.81e-05;
+ v_[424] = v_[379] - v_[383] + v_[678];
+ v_[703] = v_[311] * v_[140] + v_[424] * v_[625];
+ v_[49] = v_[192] * 3.146 + (0 - v_[39]) * -0.0825825;
+ v_[75] = v_[191] * -3.146;
+ v_[79] = v_[39] * 0.47422804;
+ v_[675] = v_[75] - v_[79];
+ v_[674] = v_[703] + v_[49] * v_[677] + v_[675] * v_[93];
+ v_[80] = v_[189] * 3.44 + v_[39] * -0.5824264;
+ v_[76] = 0 - v_[80];
+ v_[74] = (0 - v_[39]) * 0.1466472;
+ v_[73] = v_[674] + v_[76] * v_[581] + v_[74] * v_[659] + v_[251] * x_in[27];
+ v_[69] = 0 - v_[311];
+ v_[678] = 0 - v_[379] + v_[383] - v_[678];
+ v_[383] = v_[247] * 0.0004405 + v_[194] * -8.81e-05 + v_[197] * -0.000227999999999999;
+ v_[379] = v_[247] * 0.1104774 + v_[200] * -8.81e-05 + (0 - v_[201]) * 0.025713;
+ v_[66] = (0 - v_[194]) * 0.0004405;
+ v_[148] = (0 - v_[200]) * 0.1104774;
+ v_[630] = v_[66] + v_[148];
+ v_[630] = v_[69] * v_[542] + v_[678] * v_[583] + v_[383] * v_[140] + v_[379] * v_[625] + v_[630] * v_[617] + v_[630] * v_[617];
+ v_[626] = v_[247] * 0.881 + (0 - v_[201]) * 0.1104774 + v_[197] * 0.0004405;
+ v_[69] = v_[69] * v_[617] + v_[626] * v_[625] + v_[202] * x_in[29];
+ v_[640] = 0 - v_[626];
+ v_[678] = v_[678] * v_[617] + v_[640] * v_[140] - v_[198] * x_in[29];
+ v_[557] = 0 - v_[49];
+ v_[79] = 0 - v_[75] + v_[79];
+ v_[75] = v_[246] * -0.0825825 + (0 - v_[39]) * 0.000102 + v_[195] * 0.007418 + v_[196] * 0.002735;
+ v_[556] = v_[246] * 0.47422804 + v_[39] * 2.1e-05 + (0 - v_[195]) * 0.084376 + (0 - v_[196]) * 0.007418;
+ v_[549] = (0 - v_[191]) * -0.0825825;
+ v_[83] = (0 - v_[192]) * 0.47422804;
+ v_[598] = v_[195] * 0.000102;
+ v_[544] = (0 - v_[196]) * 2.1e-05;
+ v_[543] = v_[549] + v_[83] + v_[598] + v_[544];
+ v_[543] = v_[630] + v_[69] * v_[193] + v_[678] * v_[199] + v_[557] * v_[561] + v_[79] * v_[600] + v_[75] * v_[677] + v_[556] * v_[93] + v_[543] * v_[599] + v_[543] * v_[599];
+ v_[661] = v_[246] * 3.146 + (0 - v_[195]) * 0.47422804 + v_[196] * -0.0825825;
+ v_[557] = v_[69] * v_[44] + v_[678] * v_[47] + v_[557] * v_[599] + v_[661] * v_[93] + v_[204] * x_in[28];
+ v_[528] = 0 - v_[661];
+ v_[79] = v_[69] * v_[48] + v_[678] * v_[44] + v_[79] * v_[599] + v_[528] * v_[677] - v_[203] * x_in[28];
+ v_[139] = 0 - v_[74];
+ v_[534] = v_[246] * -0.5824264 + v_[39] * 3.6e-05 + v_[119] * -0.133138;
+ v_[525] = v_[246] * 0.1466472 + (0 - v_[39]) * -5.1e-05 + v_[119] * 0.022734;
+ v_[524] = (0 - v_[189]) * 0.1466472;
+ v_[518] = (0 - v_[119]) * -5.1e-05;
+ v_[507] = v_[524] - v_[518];
+ v_[201] = v_[247] * -0.1104774 + v_[200] * -8.81e-05 + v_[201] * 0.026409;
+ v_[197] = v_[247] * 0.0004405 + v_[194] * 8.81e-05 + v_[197] * 0.000468;
+ jac[523] = v_[198] * v_[653] + v_[202] * v_[542] + v_[201] * v_[612] + v_[197] * v_[140] + v_[630];
+ v_[248] = v_[248] * -0.35 + v_[201] * v_[44] + v_[197] * v_[47] + v_[246] * -0.47422804 + v_[39] * 2.1e-05 + v_[195] * 0.087136 + v_[196] * 0.007418;
+ v_[630] = v_[201] * v_[55] + v_[197] * v_[44] + v_[246] * -0.0825825 + v_[39] * 0.000102 + v_[195] * 0.007418 + v_[196] * 0.005495;
+ jac[505] = v_[203] * v_[566] + v_[204] * v_[561] + v_[248] * v_[344] + v_[630] * v_[677] + v_[543];
+ jac[811] = v_[249] * 0.08 + v_[248] * v_[50] + v_[630] * v_[51] + v_[246] * 0.1466472 + v_[39] * -5.1e-05 + v_[119] * 0.022734;
+ v_[249] = v_[248] * v_[51] + v_[630] * v_[45] + v_[246] * 0.5824264 + v_[39] * 3.6e-05 + v_[119] * 0.134705;
+ v_[507] = v_[543] + v_[557] * v_[190] + v_[79] * v_[41] + v_[80] * v_[320] + v_[139] * v_[356] + v_[534] * v_[581] + v_[525] * v_[659] + v_[507] * v_[564] + v_[507] * v_[564] + v_[249] * x_in[27];
+ v_[543] = v_[246] * -3.44;
+ v_[513] = v_[119] * -0.5824264;
+ v_[536] = 0 - v_[543] - v_[513];
+ v_[139] = v_[557] * v_[42] + v_[79] * v_[45] + v_[536] * v_[581] + v_[139] * v_[564] - v_[250] * x_in[27];
+ v_[200] = v_[194] * 0.1104774 + v_[200] * 0.0004405 + v_[39] * 0.025941;
+ v_[247] = (0 - v_[247]) * -8.81e-05;
+ v_[148] = v_[247] + v_[148];
+ v_[148] = v_[311] * v_[317] + v_[640] * v_[583] + v_[383] * v_[617] + v_[200] * v_[625] + v_[148] * v_[140] + v_[148] * v_[140] + v_[197] * x_in[29];
+ v_[247] = v_[247] + v_[66];
+ v_[247] = v_[424] * v_[317] + v_[626] * v_[542] + v_[379] * v_[617] + v_[200] * v_[140] + v_[247] * v_[625] + v_[247] * v_[625] - v_[201] * x_in[29];
+ v_[200] = v_[191] * 0.47422804 + v_[192] * -0.0825825 + v_[39] * 0.081641 + (0 - v_[195]) * 2.1e-05 + v_[196] * 0.000102;
+ v_[626] = (0 - v_[39]) * 0.007418;
+ v_[544] = v_[83] + v_[626] - v_[544];
+ v_[544] = v_[703] * -0.35 + v_[148] * v_[44] + v_[247] * v_[47] + v_[49] * v_[517] + v_[528] * v_[600] + v_[75] * v_[599] + v_[200] * v_[93] + v_[544] * v_[677] + v_[544] * v_[677] + v_[630] * x_in[28];
+ v_[626] = v_[549] - v_[626] - v_[598];
+ v_[626] = v_[148] * v_[55] + v_[247] * v_[44] + v_[675] * v_[517] + v_[661] * v_[561] + v_[556] * v_[599] + v_[200] * v_[677] + v_[626] * v_[93] + v_[626] * v_[93] - v_[248] * x_in[28];
+ v_[513] = v_[543] + v_[513];
+ v_[543] = v_[189] * -0.5824264 + (0 - v_[39]) * -0.123672 + (0 - v_[119]) * 3.6e-05;
+ v_[200] = v_[39] * 0.022734;
+ v_[661] = 0 - v_[200];
+ jac[829] = jac[847] + v_[198] * v_[193] + v_[202] * v_[199] + v_[191] * 0.47422804 + v_[192] * 0.0825825 + v_[39] * 0.089871 + v_[195] * 2.1e-05 + v_[196] * 0.000102;
+ v_[556] = jac[829] + v_[203] * v_[190] + v_[204] * v_[41] + v_[189] * -0.5824264 + v_[39] * 0.144171 + v_[119] * 3.6e-05;
+ v_[661] = v_[544] * v_[51] + v_[626] * v_[45] + v_[513] * v_[320] + v_[74] * v_[679] + v_[543] * v_[581] + v_[525] * v_[564] + v_[661] * v_[659] + v_[661] * v_[659] - v_[556] * x_in[27];
+ v_[72] = -0.1104774 * v_[486] + -8.81e-05 * v_[218] + 0.026409 * v_[522] + -8.81e-05 * v_[222] - 0.1104774 * v_[511] - 0.025713 * v_[72];
+ v_[511] = 0.0004405 * v_[486] + 8.81e-05 * v_[582] + 0.000468 * v_[313] + 0.0004405 * v_[511] + -8.81e-05 * (v_[314] - v_[312]) + -0.000227999999999999 * v_[309];
+ v_[260] = 2.1e-05 * v_[514] + 0.087136 * v_[660] + 0.007418 * v_[351] + -0.47422804 * v_[456] + 0.007418 * v_[611] + 0.000102 * (v_[223] - v_[219]) + v_[44] * v_[72] + v_[47] * v_[511] + -0.35 * v_[260] - 0.47422804 * v_[527] - 0.084376 * v_[645] - 2.1e-05 * v_[381];
+ v_[611] = 0.000102 * v_[514] + 0.007418 * v_[660] + 0.005495 * v_[351] + -0.0825825 * v_[456] + 0.002735 * v_[611] + -0.0825825 * v_[527] + 0.000102 * v_[381] + v_[55] * v_[72] + v_[44] * v_[511] - 0.007418 * v_[645] - 2.1e-05 * (v_[223] - v_[211]);
+ v_[95] = 0.022734 * x_in[45] + 3.6e-05 * v_[425] + 0.134705 * v_[378] + 0.5824264 * v_[519] + -0.133138 * v_[95] + -0.5824264 * (v_[521] - v_[680]) + 0.022734 * v_[487] + v_[51] * v_[260] + v_[45] * v_[611] - 3.6e-05 * v_[382] - -5.1e-05 * (v_[208] - v_[131]);
+ jac[163] = 0 - (v_[216] + v_[250] * v_[89] + v_[73] * x_in[22] + v_[507] * x_in[19] + v_[73] * x_in[20] * 0.3735 - (v_[251] * v_[149] + v_[139] * x_in[23]) + (v_[457] + v_[139] * x_in[19]) * 0.3735 + v_[139] * x_in[18] * 0.207 - v_[661] * x_in[20]) * v_[506] + (v_[95] + v_[250] * v_[149] + v_[251] * v_[89] + v_[73] * x_in[23] + v_[139] * x_in[22] + v_[507] * x_in[20] + v_[661] * x_in[19] + (v_[307] + v_[73] * x_in[19]) * -0.3735 + v_[73] * x_in[18] * -0.207 + v_[139] * x_in[20] * 0.3735) * v_[541];
+ v_[680] = v_[301] * 0.881 + (0 - v_[119]) * 0.0004405 + v_[302] * -8.81e-05;
+ v_[521] = v_[295] * -0.881;
+ v_[487] = v_[119] * 0.1104774;
+ v_[519] = v_[299] * -8.81e-05;
+ v_[131] = v_[521] - v_[487] + v_[519];
+ v_[208] = v_[680] * v_[140] + v_[131] * v_[625];
+ v_[382] = v_[294] * 3.146 + (0 - v_[119]) * -0.0825825;
+ v_[527] = v_[293] * -3.146;
+ v_[645] = v_[119] * 0.47422804;
+ v_[456] = v_[527] - v_[645];
+ v_[211] = v_[208] + v_[382] * v_[677] + v_[456] * v_[93];
+ v_[223] = v_[292] * 3.44 + v_[119] * -0.5824264;
+ v_[381] = 0 - v_[223];
+ v_[219] = 0.71208 + (0 - v_[119]) * 0.1466472;
+ v_[486] = v_[211] + v_[381] * v_[581] + v_[219] * v_[659] + v_[342] * x_in[27];
+ v_[309] = 0 - v_[680];
+ v_[519] = 0 - v_[521] + v_[487] - v_[519];
+ v_[487] = v_[338] * 0.0004405 + v_[295] * -8.81e-05 + v_[299] * -0.000227999999999999;
+ v_[521] = v_[338] * 0.1104774 + v_[301] * -8.81e-05 + (0 - v_[302]) * 0.025713;
+ v_[312] = (0 - v_[295]) * 0.0004405;
+ v_[314] = (0 - v_[301]) * 0.1104774;
+ v_[582] = v_[312] + v_[314];
+ v_[582] = v_[309] * v_[542] + v_[519] * v_[583] + v_[487] * v_[140] + v_[521] * v_[625] + v_[582] * v_[617] + v_[582] * v_[617];
+ v_[313] = v_[338] * 0.881 + (0 - v_[302]) * 0.1104774 + v_[299] * 0.0004405;
+ v_[309] = v_[309] * v_[617] + v_[313] * v_[625] + v_[303] * x_in[29];
+ v_[222] = 0 - v_[313];
+ v_[519] = v_[519] * v_[617] + v_[222] * v_[140] - v_[300] * x_in[29];
+ v_[218] = 0 - v_[382];
+ v_[645] = 0 - v_[527] + v_[645];
+ v_[527] = v_[337] * -0.0825825 + (0 - v_[119]) * 0.000102 + v_[297] * 0.007418 + v_[298] * 0.002735;
+ v_[522] = v_[337] * 0.47422804 + v_[119] * 2.1e-05 + (0 - v_[297]) * 0.084376 + (0 - v_[298]) * 0.007418;
+ v_[525] = (0 - v_[293]) * -0.0825825;
+ v_[74] = (0 - v_[294]) * 0.47422804;
+ v_[675] = v_[297] * 0.000102;
+ v_[598] = (0 - v_[298]) * 2.1e-05;
+ v_[549] = v_[525] + v_[74] + v_[675] + v_[598];
+ v_[549] = v_[582] + v_[309] * v_[193] + v_[519] * v_[199] + v_[218] * v_[561] + v_[645] * v_[600] + v_[527] * v_[677] + v_[522] * v_[93] + v_[549] * v_[599] + v_[549] * v_[599];
+ v_[528] = v_[337] * 3.146 + (0 - v_[297]) * 0.47422804 + v_[298] * -0.0825825;
+ v_[218] = v_[309] * v_[44] + v_[519] * v_[47] + v_[218] * v_[599] + v_[528] * v_[93] + v_[305] * x_in[28];
+ v_[75] = 0 - v_[528];
+ v_[645] = v_[309] * v_[48] + v_[519] * v_[44] + v_[645] * v_[599] + v_[75] * v_[677] - v_[304] * x_in[28];
+ v_[49] = 0 - v_[219];
+ v_[703] = v_[337] * -0.5824264 + v_[119] * 3.6e-05 + v_[296] * -0.133138;
+ v_[83] = v_[337] * 0.1466472 + (0 - v_[119]) * -5.1e-05 + v_[296] * 0.022734;
+ v_[379] = (0 - v_[292]) * 0.1466472;
+ v_[424] = (0 - v_[296]) * -5.1e-05;
+ v_[66] = 0.1205622648 + v_[379] - v_[424];
+ v_[302] = v_[338] * -0.1104774 + v_[301] * -8.81e-05 + v_[302] * 0.026409;
+ v_[299] = v_[338] * 0.0004405 + v_[295] * 8.81e-05 + v_[299] * 0.000468;
+ jac[524] = v_[300] * v_[653] + v_[303] * v_[542] + v_[302] * v_[612] + v_[299] * v_[140] + v_[582];
+ v_[339] = v_[339] * -0.35 + v_[302] * v_[44] + v_[299] * v_[47] + v_[337] * -0.47422804 + v_[119] * 2.1e-05 + v_[297] * 0.087136 + v_[298] * 0.007418;
+ v_[582] = v_[302] * v_[55] + v_[299] * v_[44] + v_[337] * -0.0825825 + v_[119] * 0.000102 + v_[297] * 0.007418 + v_[298] * 0.005495;
+ jac[506] = v_[304] * v_[566] + v_[305] * v_[561] + v_[339] * v_[344] + v_[582] * v_[677] + v_[549];
+ jac[812] = v_[340] * 0.08 + v_[339] * v_[50] + v_[582] * v_[51] + v_[337] * 0.1466472 + v_[119] * -5.1e-05 + v_[296] * 0.022734;
+ v_[340] = v_[339] * v_[51] + v_[582] * v_[45] + v_[337] * 0.5824264 + v_[119] * 3.6e-05 + v_[296] * 0.134705;
+ v_[66] = v_[549] + v_[218] * v_[190] + v_[645] * v_[41] + v_[223] * v_[320] + v_[49] * v_[356] + v_[703] * v_[581] + v_[83] * v_[659] + v_[66] * v_[564] + v_[66] * v_[564] + v_[340] * x_in[27];
+ v_[549] = v_[337] * -3.44;
+ v_[640] = v_[296] * -0.5824264;
+ v_[383] = 0 - v_[549] - v_[640];
+ v_[49] = v_[218] * v_[42] + v_[645] * v_[45] + v_[383] * v_[581] + v_[49] * v_[564] - v_[341] * x_in[27];
+ v_[301] = v_[295] * 0.1104774 + v_[301] * 0.0004405 + v_[119] * 0.025941;
+ v_[338] = (0 - v_[338]) * -8.81e-05;
+ v_[314] = v_[338] + v_[314];
+ v_[314] = v_[680] * v_[317] + v_[222] * v_[583] + v_[487] * v_[617] + v_[301] * v_[625] + v_[314] * v_[140] + v_[314] * v_[140] + v_[299] * x_in[29];
+ v_[338] = v_[338] + v_[312];
+ v_[338] = v_[131] * v_[317] + v_[313] * v_[542] + v_[521] * v_[617] + v_[301] * v_[140] + v_[338] * v_[625] + v_[338] * v_[625] - v_[302] * x_in[29];
+ v_[301] = v_[293] * 0.47422804 + v_[294] * -0.0825825 + v_[119] * 0.081641 + (0 - v_[297]) * 2.1e-05 + v_[298] * 0.000102;
+ v_[313] = (0 - v_[119]) * 0.007418;
+ v_[598] = v_[74] + v_[313] - v_[598];
+ v_[598] = v_[208] * -0.35 + v_[314] * v_[44] + v_[338] * v_[47] + v_[382] * v_[517] + v_[75] * v_[600] + v_[527] * v_[599] + v_[301] * v_[93] + v_[598] * v_[677] + v_[598] * v_[677] + v_[582] * x_in[28];
+ v_[313] = v_[525] - v_[313] - v_[675];
+ v_[313] = v_[314] * v_[55] + v_[338] * v_[44] + v_[456] * v_[517] + v_[528] * v_[561] + v_[522] * v_[599] + v_[301] * v_[677] + v_[313] * v_[93] + v_[313] * v_[93] - v_[339] * x_in[28];
+ v_[640] = v_[549] + v_[640];
+ v_[549] = 0.0303559704 + v_[292] * -0.5824264 + (0 - v_[119]) * -0.123672 + (0 - v_[296]) * 3.6e-05;
+ v_[301] = v_[119] * 0.022734;
+ v_[528] = 0.1205622648 - v_[301];
+ jac[830] = jac[848] + v_[300] * v_[193] + v_[303] * v_[199] + v_[293] * 0.47422804 + v_[294] * 0.0825825 + v_[119] * 0.089871 + v_[297] * 2.1e-05 + v_[298] * 0.000102;
+ v_[522] = jac[830] + v_[304] * v_[190] + v_[305] * v_[41] - 0.0303559704 + v_[292] * -0.5824264 + v_[119] * 0.144171 + v_[296] * 3.6e-05;
+ v_[528] = v_[598] * v_[51] + v_[313] * v_[45] + v_[640] * v_[320] + v_[219] * v_[679] + v_[549] * v_[581] + v_[83] * v_[564] + v_[528] * v_[659] + v_[528] * v_[659] - v_[522] * x_in[27];
+ jac[164] = 0 - (v_[341] * v_[89] + v_[486] * x_in[22] + v_[66] * x_in[19] + (v_[307] + v_[486] * x_in[20]) * 0.3735 - (v_[342] * v_[149] + v_[49] * x_in[23]) + v_[49] * x_in[19] * 0.3735 + v_[49] * x_in[18] * 0.207 - (v_[95] + v_[528] * x_in[20])) * v_[506] + (v_[216] + v_[341] * v_[149] + v_[342] * v_[89] + v_[486] * x_in[23] + v_[49] * x_in[22] + v_[66] * x_in[20] + v_[528] * x_in[19] + v_[486] * x_in[19] * -0.3735 + v_[486] * x_in[18] * -0.207 + (v_[457] + v_[49] * x_in[20]) * 0.3735) * v_[541];
+ v_[95] = v_[374] * 0.881;
+ v_[216] = v_[372] * -0.881;
+ v_[83] = v_[95] * v_[140] + v_[216] * v_[625];
+ v_[219] = v_[61] * 3.146;
+ v_[456] = v_[59] * -3.146;
+ v_[675] = v_[83] + v_[219] * v_[677] + v_[456] * v_[93];
+ v_[525] = v_[675] + 3.44 * v_[659] + v_[389] * x_in[27];
+ v_[75] = 0 - v_[95];
+ v_[527] = 0 - v_[216];
+ v_[382] = v_[372] * -8.81e-05;
+ v_[208] = v_[374] * -8.81e-05;
+ v_[74] = (0 - v_[372]) * 0.0004405;
+ v_[521] = (0 - v_[374]) * 0.1104774;
+ v_[131] = v_[74] + v_[521];
+ v_[131] = v_[75] * v_[542] + v_[527] * v_[583] + v_[382] * v_[140] + v_[208] * v_[625] + v_[131] * v_[617] + v_[131] * v_[617];
+ v_[75] = v_[75] * v_[617] + v_[375] * x_in[29];
+ v_[527] = v_[527] * v_[617] - v_[373] * x_in[29];
+ v_[312] = 0 - v_[219];
+ v_[222] = 0 - v_[456];
+ v_[487] = (0 - v_[59]) * -0.0825825;
+ v_[680] = (0 - v_[61]) * 0.47422804;
+ v_[295] = v_[487] + v_[680];
+ v_[295] = v_[131] + v_[75] * v_[193] + v_[527] * v_[199] + v_[312] * v_[561] + v_[222] * v_[600] + v_[295] * v_[599] + v_[295] * v_[599];
+ v_[312] = v_[75] * v_[44] + v_[527] * v_[47] + v_[312] * v_[599] + v_[377] * x_in[28];
+ v_[222] = v_[75] * v_[48] + v_[527] * v_[44] + v_[222] * v_[599] - v_[376] * x_in[28];
+ v_[311] = v_[374] * -8.81e-05;
+ v_[194] = v_[372] * 8.81e-05;
+ jac[525] = v_[373] * v_[653] + v_[375] * v_[542] + v_[311] * v_[612] + v_[194] * v_[140] + v_[131];
+ v_[131] = v_[311] * v_[44] + v_[194] * v_[47];
+ v_[491] = v_[311] * v_[55] + v_[194] * v_[44];
+ jac[507] = v_[376] * v_[566] + v_[377] * v_[561] + v_[131] * v_[344] + v_[491] * v_[677] + v_[295];
+ jac[813] = v_[131] * v_[50] + v_[491] * v_[51];
+ v_[490] = v_[131] * v_[51] + v_[491] * v_[45];
+ v_[295] = v_[295] + v_[312] * v_[190] + v_[222] * v_[41] + -3.44 * v_[356] + 0.5824264 * v_[564] + 0.5824264 * v_[564] + v_[490] * x_in[27];
+ v_[604] = v_[312] * v_[42] + v_[222] * v_[45] + -3.44 * v_[564];
+ v_[374] = v_[372] * 0.1104774 + v_[374] * 0.0004405;
+ v_[521] = v_[95] * v_[317] + v_[382] * v_[617] + v_[374] * v_[625] + v_[521] * v_[140] + v_[521] * v_[140] + v_[194] * x_in[29];
+ v_[374] = v_[216] * v_[317] + v_[208] * v_[617] + v_[374] * v_[140] + v_[74] * v_[625] + v_[74] * v_[625] - v_[311] * x_in[29];
+ v_[74] = v_[59] * 0.47422804 + v_[61] * -0.0825825;
+ v_[680] = v_[83] * -0.35 + v_[521] * v_[44] + v_[374] * v_[47] + v_[219] * v_[517] + v_[74] * v_[93] + v_[680] * v_[677] + v_[680] * v_[677] + v_[491] * x_in[28];
+ v_[74] = v_[521] * v_[55] + v_[374] * v_[44] + v_[456] * v_[517] + v_[74] * v_[677] + v_[487] * v_[93] + v_[487] * v_[93] - v_[131] * x_in[28];
+ jac[831] = jac[849] + v_[373] * v_[193] + v_[375] * v_[199] + v_[59] * 0.47422804 + v_[61] * 0.0825825;
+ v_[487] = jac[831] + v_[376] * v_[190] + v_[377] * v_[41] - 0.1466472;
+ v_[456] = v_[680] * v_[51] + v_[74] * v_[45] + 3.44 * v_[679] + 0.1466472 * v_[581] + 0.5824264 * v_[659] + 0.5824264 * v_[659] - v_[487] * x_in[27];
+ jac[165] = 0 - (v_[525] * x_in[22] + v_[295] * x_in[19] + v_[525] * x_in[20] * 0.3735 - (v_[389] * v_[149] + v_[604] * x_in[23]) + v_[604] * x_in[19] * 0.3735 + v_[604] * x_in[18] * 0.207 - v_[456] * x_in[20]) * v_[506] + (v_[389] * v_[89] + v_[525] * x_in[23] + v_[604] * x_in[22] + v_[295] * x_in[20] + v_[456] * x_in[19] + v_[525] * x_in[19] * -0.3735 + v_[525] * x_in[18] * -0.207 + v_[604] * x_in[20] * 0.3735) * v_[541];
+ v_[219] = v_[420] * 0.881;
+ v_[83] = v_[418] * -0.881;
+ v_[208] = v_[219] * v_[140] + v_[83] * v_[625];
+ v_[216] = v_[417] * 3.146;
+ v_[382] = v_[416] * -3.146;
+ v_[95] = v_[208] + v_[216] * v_[677] + v_[382] * v_[93];
+ v_[372] = v_[119] * 3.44;
+ v_[447] = 0 - v_[372];
+ v_[431] = v_[95] + v_[447] * v_[581] + v_[445] * x_in[27];
+ v_[430] = 0 - v_[219];
+ v_[697] = 0 - v_[83];
+ v_[353] = v_[39] * 0.0004405 + v_[418] * -8.81e-05;
+ v_[385] = v_[39] * 0.1104774 + v_[420] * -8.81e-05;
+ v_[384] = (0 - v_[418]) * 0.0004405;
+ v_[343] = (0 - v_[420]) * 0.1104774;
+ v_[345] = v_[384] + v_[343];
+ v_[345] = v_[430] * v_[542] + v_[697] * v_[583] + v_[353] * v_[140] + v_[385] * v_[625] + v_[345] * v_[617] + v_[345] * v_[617];
+ v_[319] = v_[39] * 0.881;
+ v_[430] = v_[430] * v_[617] + v_[319] * v_[625] + v_[421] * x_in[29];
+ v_[318] = 0 - v_[319];
+ v_[697] = v_[697] * v_[617] + v_[318] * v_[140] - v_[419] * x_in[29];
+ v_[253] = 0 - v_[216];
+ v_[255] = 0 - v_[382];
+ v_[225] = v_[39] * -0.0825825;
+ v_[224] = v_[39] * 0.47422804;
+ v_[130] = (0 - v_[416]) * -0.0825825;
+ v_[132] = (0 - v_[417]) * 0.47422804;
+ v_[82] = v_[130] + v_[132];
+ v_[82] = v_[345] + v_[430] * v_[193] + v_[697] * v_[199] + v_[253] * v_[561] + v_[255] * v_[600] + v_[225] * v_[677] + v_[224] * v_[93] + v_[82] * v_[599] + v_[82] * v_[599];
+ v_[81] = v_[39] * 3.146;
+ v_[253] = v_[430] * v_[44] + v_[697] * v_[47] + v_[253] * v_[599] + v_[81] * v_[93] + v_[423] * x_in[28];
+ v_[207] = 0 - v_[81];
+ v_[255] = v_[430] * v_[48] + v_[697] * v_[44] + v_[255] * v_[599] + v_[207] * v_[677] - v_[422] * x_in[28];
+ v_[67] = v_[39] * -0.5824264;
+ v_[702] = v_[39] * 0.1466472;
+ v_[624] = (0 - v_[119]) * 0.1466472;
+ v_[220] = v_[39] * -0.1104774 + v_[420] * -8.81e-05;
+ v_[212] = v_[39] * 0.0004405 + v_[418] * 8.81e-05;
+ jac[526] = v_[419] * v_[653] + v_[421] * v_[542] + v_[220] * v_[612] + v_[212] * v_[140] + v_[345];
+ v_[442] = v_[442] * -0.35 + v_[220] * v_[44] + v_[212] * v_[47] + v_[39] * -0.47422804;
+ v_[345] = v_[220] * v_[55] + v_[212] * v_[44] + v_[39] * -0.0825825;
+ jac[508] = v_[422] * v_[566] + v_[423] * v_[561] + v_[442] * v_[344] + v_[345] * v_[677] + v_[82];
+ jac[814] = v_[443] * 0.08 + v_[442] * v_[50] + v_[345] * v_[51] + v_[39] * 0.1466472;
+ v_[443] = v_[442] * v_[51] + v_[345] * v_[45] + v_[39] * 0.5824264;
+ v_[82] = v_[82] + v_[253] * v_[190] + v_[255] * v_[41] + v_[372] * v_[320] + v_[67] * v_[581] + v_[702] * v_[659] + v_[624] * v_[564] + v_[624] * v_[564] + v_[443] * x_in[27];
+ v_[550] = v_[39] * -3.44;
+ v_[584] = 0 - v_[550];
+ v_[87] = v_[253] * v_[42] + v_[255] * v_[45] + v_[584] * v_[581] - v_[444] * x_in[27];
+ v_[420] = v_[418] * 0.1104774 + v_[420] * 0.0004405;
+ v_[418] = (0 - v_[39]) * -8.81e-05;
+ v_[343] = v_[418] + v_[343];
+ v_[343] = v_[219] * v_[317] + v_[318] * v_[583] + v_[353] * v_[617] + v_[420] * v_[625] + v_[343] * v_[140] + v_[343] * v_[140] + v_[212] * x_in[29];
+ v_[418] = v_[418] + v_[384];
+ v_[418] = v_[83] * v_[317] + v_[319] * v_[542] + v_[385] * v_[617] + v_[420] * v_[140] + v_[418] * v_[625] + v_[418] * v_[625] - v_[220] * x_in[29];
+ v_[420] = v_[416] * 0.47422804 + v_[417] * -0.0825825;
+ v_[207] = v_[208] * -0.35 + v_[343] * v_[44] + v_[418] * v_[47] + v_[216] * v_[517] + v_[207] * v_[600] + v_[225] * v_[599] + v_[420] * v_[93] + v_[132] * v_[677] + v_[132] * v_[677] + v_[345] * x_in[28];
+ v_[420] = v_[343] * v_[55] + v_[418] * v_[44] + v_[382] * v_[517] + v_[81] * v_[561] + v_[224] * v_[599] + v_[420] * v_[677] + v_[130] * v_[93] + v_[130] * v_[93] - v_[442] * x_in[28];
+ v_[81] = v_[119] * -0.5824264;
+ jac[832] = jac[850] + v_[419] * v_[193] + v_[421] * v_[199] + v_[416] * 0.47422804 + v_[417] * 0.0825825;
+ v_[130] = jac[832] + v_[422] * v_[190] + v_[423] * v_[41] + v_[119] * -0.5824264;
+ v_[702] = v_[207] * v_[51] + v_[420] * v_[45] + v_[550] * v_[320] + v_[81] * v_[581] + v_[702] * v_[564] - v_[130] * x_in[27];
+ jac[166] = 0 - (v_[307] + v_[444] * v_[89] + v_[431] * x_in[22] + v_[82] * x_in[19] + v_[431] * x_in[20] * 0.3735 - (v_[445] * v_[149] + v_[87] * x_in[23]) + v_[87] * x_in[19] * 0.3735 + v_[87] * x_in[18] * 0.207 - v_[702] * x_in[20]) * v_[506] + (v_[457] + v_[444] * v_[149] + v_[445] * v_[89] + v_[431] * x_in[23] + v_[87] * x_in[22] + v_[82] * x_in[20] + v_[702] * x_in[19] + v_[431] * x_in[19] * -0.3735 + v_[431] * x_in[18] * -0.207 + v_[87] * x_in[20] * 0.3735) * v_[541];
+ v_[224] = v_[480] * 0.881;
+ v_[382] = v_[478] * -0.881;
+ v_[132] = v_[224] * v_[140] + v_[382] * v_[625];
+ v_[225] = v_[477] * 3.146;
+ v_[216] = v_[476] * -3.146;
+ v_[208] = v_[132] + v_[225] * v_[677] + v_[216] * v_[93];
+ v_[319] = v_[127] * 3.44;
+ v_[385] = 0 - v_[319];
+ v_[83] = v_[208] + v_[385] * v_[581] + v_[505] * x_in[27];
+ v_[384] = 0 - v_[224];
+ v_[318] = 0 - v_[382];
+ v_[353] = v_[119] * 0.0004405 + v_[478] * -8.81e-05;
+ v_[219] = v_[119] * 0.1104774 + v_[480] * -8.81e-05;
+ v_[90] = (0 - v_[478]) * 0.0004405;
+ v_[710] = (0 - v_[480]) * 0.1104774;
+ v_[711] = v_[90] + v_[710];
+ v_[711] = v_[384] * v_[542] + v_[318] * v_[583] + v_[353] * v_[140] + v_[219] * v_[625] + v_[711] * v_[617] + v_[711] * v_[617];
+ v_[712] = v_[119] * 0.881;
+ v_[384] = v_[384] * v_[617] + v_[712] * v_[625] + v_[481] * x_in[29];
+ v_[713] = 0 - v_[712];
+ v_[318] = v_[318] * v_[617] + v_[713] * v_[140] - v_[479] * x_in[29];
+ v_[714] = 0 - v_[225];
+ v_[715] = 0 - v_[216];
+ v_[716] = v_[119] * -0.0825825;
+ v_[717] = v_[119] * 0.47422804;
+ v_[718] = (0 - v_[476]) * -0.0825825;
+ v_[719] = (0 - v_[477]) * 0.47422804;
+ v_[720] = v_[718] + v_[719];
+ v_[720] = v_[711] + v_[384] * v_[193] + v_[318] * v_[199] + v_[714] * v_[561] + v_[715] * v_[600] + v_[716] * v_[677] + v_[717] * v_[93] + v_[720] * v_[599] + v_[720] * v_[599];
+ v_[721] = v_[119] * 3.146;
+ v_[714] = v_[384] * v_[44] + v_[318] * v_[47] + v_[714] * v_[599] + v_[721] * v_[93] + v_[483] * x_in[28];
+ v_[722] = 0 - v_[721];
+ v_[715] = v_[384] * v_[48] + v_[318] * v_[44] + v_[715] * v_[599] + v_[722] * v_[677] - v_[482] * x_in[28];
+ v_[723] = v_[119] * -0.5824264;
+ v_[724] = v_[119] * 0.1466472;
+ v_[725] = (0 - v_[127]) * 0.1466472;
+ v_[726] = v_[119] * -0.1104774 + v_[480] * -8.81e-05;
+ v_[727] = v_[119] * 0.0004405 + v_[478] * 8.81e-05;
+ jac[527] = v_[479] * v_[653] + v_[481] * v_[542] + v_[726] * v_[612] + v_[727] * v_[140] + v_[711];
+ v_[502] = v_[502] * -0.35 + v_[726] * v_[44] + v_[727] * v_[47] + v_[119] * -0.47422804;
+ v_[711] = v_[726] * v_[55] + v_[727] * v_[44] + v_[119] * -0.0825825;
+ jac[509] = v_[482] * v_[566] + v_[483] * v_[561] + v_[502] * v_[344] + v_[711] * v_[677] + v_[720];
+ jac[815] = v_[503] * 0.08 + v_[502] * v_[50] + v_[711] * v_[51] + v_[119] * 0.1466472;
+ v_[503] = v_[502] * v_[51] + v_[711] * v_[45] + v_[119] * 0.5824264;
+ v_[720] = v_[720] + v_[714] * v_[190] + v_[715] * v_[41] + v_[319] * v_[320] + v_[723] * v_[581] + v_[724] * v_[659] + v_[725] * v_[564] + v_[725] * v_[564] + v_[503] * x_in[27];
+ v_[728] = v_[119] * -3.44;
+ v_[729] = 0 - v_[728];
+ v_[730] = v_[714] * v_[42] + v_[715] * v_[45] + v_[729] * v_[581] - v_[504] * x_in[27];
+ v_[480] = v_[478] * 0.1104774 + v_[480] * 0.0004405;
+ v_[478] = (0 - v_[119]) * -8.81e-05;
+ v_[710] = v_[478] + v_[710];
+ v_[710] = v_[224] * v_[317] + v_[713] * v_[583] + v_[353] * v_[617] + v_[480] * v_[625] + v_[710] * v_[140] + v_[710] * v_[140] + v_[727] * x_in[29];
+ v_[478] = v_[478] + v_[90];
+ v_[478] = v_[382] * v_[317] + v_[712] * v_[542] + v_[219] * v_[617] + v_[480] * v_[140] + v_[478] * v_[625] + v_[478] * v_[625] - v_[726] * x_in[29];
+ v_[480] = v_[476] * 0.47422804 + v_[477] * -0.0825825;
+ v_[722] = v_[132] * -0.35 + v_[710] * v_[44] + v_[478] * v_[47] + v_[225] * v_[517] + v_[722] * v_[600] + v_[716] * v_[599] + v_[480] * v_[93] + v_[719] * v_[677] + v_[719] * v_[677] + v_[711] * x_in[28];
+ v_[480] = v_[710] * v_[55] + v_[478] * v_[44] + v_[216] * v_[517] + v_[721] * v_[561] + v_[717] * v_[599] + v_[480] * v_[677] + v_[718] * v_[93] + v_[718] * v_[93] - v_[502] * x_in[28];
+ v_[721] = v_[127] * -0.5824264;
+ jac[833] = jac[851] + v_[479] * v_[193] + v_[481] * v_[199] + v_[476] * 0.47422804 + v_[477] * 0.0825825;
+ v_[718] = jac[833] + v_[482] * v_[190] + v_[483] * v_[41] + v_[127] * -0.5824264;
+ v_[724] = v_[722] * v_[51] + v_[480] * v_[45] + v_[728] * v_[320] + v_[721] * v_[581] + v_[724] * v_[564] - v_[718] * x_in[27];
+ jac[167] = 0 - (v_[504] * v_[89] + v_[83] * x_in[22] + v_[720] * x_in[19] + v_[83] * x_in[20] * 0.3735 - (v_[457] + v_[505] * v_[149] + v_[730] * x_in[23]) + v_[730] * x_in[19] * 0.3735 + v_[730] * x_in[18] * 0.207 - v_[724] * x_in[20]) * v_[506] + (v_[307] + v_[504] * v_[149] + v_[505] * v_[89] + v_[83] * x_in[23] + v_[730] * x_in[22] + v_[720] * x_in[20] + v_[724] * x_in[19] + v_[83] * x_in[19] * -0.3735 + v_[83] * x_in[18] * -0.207 + v_[730] * x_in[20] * 0.3735) * v_[541];
+ v_[307] = v_[571] * -8.81e-05;
+ v_[457] = v_[569] * -8.81e-05;
+ v_[717] = v_[307] * v_[140] + v_[457] * v_[625];
+ v_[216] = v_[717] + v_[580] * x_in[27];
+ v_[719] = 0 - v_[307];
+ v_[716] = 0 - v_[457];
+ v_[225] = v_[576] * 0.0004405 + v_[569] * -0.000227999999999999;
+ v_[132] = v_[576] * 0.1104774 + (0 - v_[571]) * 0.025713;
+ v_[712] = v_[719] * v_[542] + v_[716] * v_[583] + v_[225] * v_[140] + v_[132] * v_[625];
+ v_[219] = v_[576] * 0.881 + (0 - v_[571]) * 0.1104774 + v_[569] * 0.0004405;
+ v_[719] = v_[719] * v_[617] + v_[219] * v_[625] + v_[572] * x_in[29];
+ v_[382] = 0 - v_[219];
+ v_[716] = v_[716] * v_[617] + v_[382] * v_[140] - v_[570] * x_in[29];
+ v_[90] = -0.0066066 + v_[50] * 0.007418 + v_[51] * 0.002735;
+ v_[713] = 0.0379382432 + (0 - v_[50]) * 0.084376 + (0 - v_[51]) * 0.007418;
+ v_[353] = v_[50] * 0.000102;
+ v_[224] = (0 - v_[51]) * 2.1e-05;
+ v_[731] = v_[353] + v_[224];
+ v_[731] = v_[712] + v_[719] * v_[193] + v_[716] * v_[199] + v_[90] * v_[677] + v_[713] * v_[93] + v_[731] * v_[599] + v_[731] * v_[599];
+ v_[732] = 0.25168 + (0 - v_[50]) * 0.47422804 + v_[51] * -0.0825825;
+ v_[733] = v_[719] * v_[44] + v_[716] * v_[47] + v_[732] * v_[93] + v_[574] * x_in[28];
+ v_[734] = 0 - v_[732];
+ v_[735] = v_[719] * v_[48] + v_[716] * v_[44] + v_[734] * v_[677] - v_[573] * x_in[28];
+ jac[387] = v_[733] * v_[59] + v_[735] * v_[61] + -0.1466472 * v_[659];
+ v_[571] = v_[576] * -0.1104774 + v_[571] * 0.026409;
+ v_[569] = v_[576] * 0.0004405 + v_[569] * 0.000468;
+ jac[531] = v_[570] * v_[653] + v_[572] * v_[542] + v_[571] * v_[612] + v_[569] * v_[140] + v_[712];
+ v_[577] = v_[577] * -0.35 + v_[571] * v_[44] + v_[569] * v_[47] - 0.0379382432 + v_[50] * 0.087136 + v_[51] * 0.007418;
+ v_[712] = v_[571] * v_[55] + v_[569] * v_[44] - 0.0066066 + v_[50] * 0.007418 + v_[51] * 0.005495;
+ jac[513] = v_[573] * v_[566] + v_[574] * v_[561] + v_[577] * v_[344] + v_[712] * v_[677] + v_[731];
+ jac[819] = v_[578] * 0.08 + v_[577] * v_[50] + v_[712] * v_[51] + 0.011033;
+ v_[578] = v_[577] * v_[51] + v_[712] * v_[45] + 0.022734;
+ v_[731] = v_[731] + v_[733] * v_[190] + v_[735] * v_[41] + -0.022734 * v_[581] + 0.009466 * v_[659] + -3.6e-05 * v_[564] + -3.6e-05 * v_[564] + v_[578] * x_in[27];
+ v_[736] = v_[733] * v_[42] + v_[735] * v_[45] + 0.1466472 * v_[581] - v_[579] * x_in[27];
+ jac[405] = v_[216] * v_[39] + v_[736] * v_[119];
+ jac[423] = v_[216] * v_[119] + v_[736] * v_[127];
+ v_[576] = (0 - v_[576]) * -8.81e-05;
+ v_[382] = v_[307] * v_[317] + v_[382] * v_[583] + v_[225] * v_[617] + v_[576] * v_[140] + v_[576] * v_[140] + v_[569] * x_in[29];
+ v_[576] = v_[457] * v_[317] + v_[219] * v_[542] + v_[132] * v_[617] + v_[576] * v_[625] + v_[576] * v_[625] - v_[571] * x_in[29];
+ v_[219] = (0 - v_[50]) * 2.1e-05 + v_[51] * 0.000102;
+ v_[224] = 0 - v_[224];
+ v_[224] = v_[717] * -0.35 + v_[382] * v_[44] + v_[576] * v_[47] + v_[734] * v_[600] + v_[90] * v_[599] + v_[219] * v_[93] + v_[224] * v_[677] + v_[224] * v_[677] + v_[712] * x_in[28];
+ v_[353] = 0 - v_[353];
+ v_[353] = v_[382] * v_[55] + v_[576] * v_[44] + v_[732] * v_[561] + v_[713] * v_[599] + v_[219] * v_[677] + v_[353] * v_[93] + v_[353] * v_[93] - v_[577] * x_in[28];
+ v_[219] = jac[837] + v_[573] * v_[190] + v_[574] * v_[41] - 5.1e-05;
+ v_[732] = v_[224] * v_[51] + v_[353] * v_[45] + -0.1466472 * v_[320] + -5.1e-05 * v_[581] + 0.009466 * v_[564] + 3.6e-05 * v_[659] + 3.6e-05 * v_[659] - v_[219] * x_in[27];
+ jac[171] = 0 - (v_[579] * v_[89] + v_[216] * x_in[22] + v_[731] * x_in[19] + v_[216] * x_in[20] * 0.3735 - (v_[580] * v_[149] + v_[736] * x_in[23]) + v_[736] * x_in[19] * 0.3735 + v_[736] * x_in[18] * 0.207 - v_[732] * x_in[20]) * v_[506] + (v_[579] * v_[149] + v_[580] * v_[89] + v_[216] * x_in[23] + v_[736] * x_in[22] + v_[731] * x_in[20] + v_[732] * x_in[19] + v_[216] * x_in[19] * -0.3735 + v_[216] * x_in[18] * -0.207 + v_[736] * x_in[20] * 0.3735) * v_[541];
+ jac[351] = v_[216] * v_[246] + v_[736] * v_[189] + v_[731] * v_[39] + v_[732] * v_[119];
+ v_[713] = v_[199] * 0.881 - 0.0004405;
+ v_[734] = v_[193] * -0.881;
+ v_[90] = v_[734] - 0.1104774;
+ v_[132] = v_[713] * v_[140] + v_[90] * v_[625];
+ v_[457] = v_[132] + 0.0825825 * v_[677] + -0.47422804 * v_[93];
+ v_[225] = v_[457] + v_[595] * x_in[27];
+ v_[307] = 0 - v_[713];
+ v_[734] = 0 - v_[734] + 0.1104774;
+ v_[737] = v_[193] * -8.81e-05;
+ v_[738] = v_[199] * -8.81e-05;
+ v_[739] = (0 - v_[193]) * 0.0004405;
+ v_[740] = (0 - v_[199]) * 0.1104774;
+ v_[741] = v_[739] + v_[740];
+ v_[741] = v_[307] * v_[542] + v_[734] * v_[583] + v_[737] * v_[140] + v_[738] * v_[625] + v_[741] * v_[617] + v_[741] * v_[617];
+ v_[307] = v_[307] * v_[617] + v_[591] * x_in[29];
+ v_[734] = v_[734] * v_[617] - v_[590] * x_in[29];
+ v_[742] = v_[741] + v_[307] * v_[193] + v_[734] * v_[199] + -0.0825825 * v_[561] + 0.47422804 * v_[600] + -0.000102 * v_[677] + 2.1e-05 * v_[93];
+ v_[743] = v_[307] * v_[44] + v_[734] * v_[47] + -0.0825825 * v_[599] + v_[593] * x_in[28];
+ v_[744] = v_[307] * v_[48] + v_[734] * v_[44] + 0.47422804 * v_[599] - v_[592] * x_in[28];
+ jac[388] = v_[743] * v_[59] + v_[744] * v_[61];
+ v_[745] = v_[199] * -8.81e-05;
+ v_[746] = v_[193] * 8.81e-05;
+ jac[532] = v_[590] * v_[653] + v_[591] * v_[542] + v_[745] * v_[612] + v_[746] * v_[140] + v_[741];
+ v_[741] = v_[745] * v_[44] + v_[746] * v_[47] + 2.1e-05;
+ v_[612] = v_[745] * v_[55] + v_[746] * v_[44] + 0.000102;
+ jac[514] = v_[592] * v_[566] + v_[593] * v_[561] + v_[741] * v_[344] + v_[612] * v_[677] + v_[742];
+ jac[820] = v_[741] * v_[50] + v_[612] * v_[51];
+ v_[344] = v_[741] * v_[51] + v_[612] * v_[45];
+ v_[742] = v_[742] + v_[743] * v_[190] + v_[744] * v_[41] + v_[344] * x_in[27];
+ v_[747] = v_[743] * v_[42] + v_[744] * v_[45];
+ jac[406] = v_[225] * v_[39] + v_[747] * v_[119];
+ jac[424] = v_[225] * v_[119] + v_[747] * v_[127];
+ v_[748] = v_[193] * 0.1104774 + v_[199] * 0.0004405 + 0.025941;
+ v_[740] = v_[713] * v_[317] + v_[737] * v_[617] + v_[748] * v_[625] + v_[740] * v_[140] + v_[740] * v_[140] + v_[746] * x_in[29];
+ v_[748] = v_[90] * v_[317] + v_[738] * v_[617] + v_[748] * v_[140] + v_[739] * v_[625] + v_[739] * v_[625] - v_[745] * x_in[29];
+ v_[132] = v_[132] * -0.35 + v_[740] * v_[44] + v_[748] * v_[47] + 0.0825825 * v_[517] + -0.000102 * v_[599] + 0.081641 * v_[93] + -0.007418 * v_[677] + -0.007418 * v_[677] + v_[612] * x_in[28];
+ v_[517] = v_[740] * v_[55] + v_[748] * v_[44] + -0.47422804 * v_[517] + 2.1e-05 * v_[599] + 0.081641 * v_[677] + 0.007418 * v_[93] + 0.007418 * v_[93] - v_[741] * x_in[28];
+ jac[838] = jac[856] + v_[590] * v_[193] + v_[591] * v_[199] + 0.089871;
+ v_[739] = jac[838] + v_[592] * v_[190] + v_[593] * v_[41];
+ v_[738] = v_[132] * v_[51] + v_[517] * v_[45] - v_[739] * x_in[27];
+ jac[172] = 0 - (v_[225] * x_in[22] + v_[742] * x_in[19] + v_[225] * x_in[20] * 0.3735 - (v_[595] * v_[149] + v_[747] * x_in[23]) + v_[747] * x_in[19] * 0.3735 + v_[747] * x_in[18] * 0.207 - v_[738] * x_in[20]) * v_[506] + (v_[595] * v_[89] + v_[225] * x_in[23] + v_[747] * x_in[22] + v_[742] * x_in[20] + v_[738] * x_in[19] + v_[225] * x_in[19] * -0.3735 + v_[225] * x_in[18] * -0.207 + v_[747] * x_in[20] * 0.3735) * v_[541];
+ jac[352] = v_[225] * v_[246] + v_[747] * v_[189] + v_[742] * v_[39] + v_[738] * v_[119];
+ v_[90] = -0.0004405 * v_[140] + -0.1104774 * v_[625];
+ v_[737] = v_[90] + v_[608] * x_in[27];
+ v_[583] = 0.0004405 * v_[542] + 0.1104774 * v_[583];
+ jac[533] = 0.1104774 * v_[653] + -0.0004405 * v_[542] + v_[583];
+ v_[653] = 0.0004405 * v_[617] + -0.0004405 * x_in[29];
+ v_[617] = 0.1104774 * v_[617] - 0.1104774 * x_in[29];
+ v_[583] = v_[583] + v_[653] * v_[193] + v_[617] * v_[199];
+ jac[515] = v_[605] * v_[566] + v_[606] * v_[561] + v_[583];
+ v_[566] = v_[653] * v_[44] + v_[617] * v_[47] + v_[606] * x_in[28];
+ v_[48] = v_[653] * v_[48] + v_[617] * v_[44] - v_[605] * x_in[28];
+ jac[389] = v_[566] * v_[59] + v_[48] * v_[61];
+ v_[583] = v_[583] + v_[566] * v_[190] + v_[48] * v_[41];
+ v_[42] = v_[566] * v_[42] + v_[48] * v_[45];
+ jac[407] = v_[737] * v_[39] + v_[42] * v_[119];
+ jac[425] = v_[737] * v_[119] + v_[42] * v_[127];
+ v_[625] = -0.0004405 * v_[317] + 0.025941 * v_[625];
+ v_[317] = -0.1104774 * v_[317] + 0.025941 * v_[140];
+ v_[47] = v_[90] * -0.35 + v_[625] * v_[44] + v_[317] * v_[47];
+ v_[55] = v_[625] * v_[55] + v_[317] * v_[44];
+ v_[41] = jac[839] + v_[605] * v_[190] + v_[606] * v_[41];
+ v_[45] = v_[47] * v_[51] + v_[55] * v_[45] - v_[41] * x_in[27];
+ jac[173] = 0 - (v_[737] * x_in[22] + v_[583] * x_in[19] + v_[737] * x_in[20] * 0.3735 - (v_[608] * v_[149] + v_[42] * x_in[23]) + v_[42] * x_in[19] * 0.3735 + v_[42] * x_in[18] * 0.207 - v_[45] * x_in[20]) * v_[506] + (v_[608] * v_[89] + v_[737] * x_in[23] + v_[42] * x_in[22] + v_[583] * x_in[20] + v_[45] * x_in[19] + v_[737] * x_in[19] * -0.3735 + v_[737] * x_in[18] * -0.207 + v_[42] * x_in[20] * 0.3735) * v_[541];
+ jac[353] = v_[737] * v_[246] + v_[42] * v_[189] + v_[583] * v_[39] + v_[45] * v_[119];
+ v_[541] = sin(x_in[10]);
+ v_[506] = cos(x_in[10]);
+ jac[180] = 0 - (v_[40] * v_[210] + v_[60] * v_[429] + v_[121] * v_[378] + v_[523] * v_[356] + v_[432] * v_[659] - (v_[58] * v_[150] + v_[548] * v_[320]) + (v_[58] * v_[425] + v_[548] * v_[564]) * 0.08 - (v_[260] + v_[123] * x_in[45] + v_[586] * v_[581])) * v_[541] + (0 - (v_[40] * v_[217] + v_[58] * v_[429] + v_[548] * v_[356]) - (v_[60] * v_[150] + v_[523] * v_[320]) + (v_[60] * v_[425] + v_[523] * v_[564]) * 0.08 - (v_[611] + v_[123] * v_[378] + v_[121] * x_in[45] + v_[586] * v_[659] + v_[432] * v_[581])) * v_[506];
+ jac[181] = 0 - (v_[189] * v_[210] + v_[119] * v_[611] + v_[204] * v_[429] + v_[630] * v_[378] + v_[79] * v_[356] + v_[626] * v_[659] - (v_[203] * v_[150] + v_[557] * v_[320]) + (v_[39] * v_[217] + v_[203] * v_[425] + v_[557] * v_[564]) * 0.08 - (v_[248] * x_in[45] + v_[544] * v_[581])) * v_[541] + (0 - (v_[189] * v_[217] + v_[203] * v_[429] + v_[557] * v_[356]) - (v_[204] * v_[150] + v_[79] * v_[320]) + (v_[39] * v_[210] + v_[204] * v_[425] + v_[79] * v_[564]) * 0.08 - (v_[119] * v_[260] + v_[248] * v_[378] + v_[630] * x_in[45] + v_[544] * v_[659] + v_[626] * v_[581])) * v_[506];
+ jac[182] = 0 - (v_[292] * v_[210] + v_[296] * v_[611] + v_[305] * v_[429] + v_[582] * v_[378] + v_[645] * v_[356] + v_[313] * v_[659] - (0.207 * v_[217] + v_[304] * v_[150] + v_[218] * v_[320]) + (v_[119] * v_[217] + v_[304] * v_[425] + v_[218] * v_[564]) * 0.08 - (v_[339] * x_in[45] + v_[598] * v_[581])) * v_[541] + (0 - (v_[292] * v_[217] + v_[304] * v_[429] + v_[218] * v_[356]) - (0.207 * v_[210] + v_[305] * v_[150] + v_[645] * v_[320]) + (v_[119] * v_[210] + v_[305] * v_[425] + v_[645] * v_[564]) * 0.08 - (v_[296] * v_[260] + v_[339] * v_[378] + v_[582] * x_in[45] + v_[598] * v_[659] + v_[313] * v_[581])) * v_[506];
+ jac[183] = 0 - (v_[377] * v_[429] + v_[491] * v_[378] + v_[222] * v_[356] + v_[74] * v_[659] - (v_[217] + v_[376] * v_[150] + v_[312] * v_[320]) + (v_[376] * v_[425] + v_[312] * v_[564]) * 0.08 - (v_[131] * x_in[45] + v_[680] * v_[581])) * v_[541] + (0 - (v_[376] * v_[429] + v_[312] * v_[356]) - (v_[210] + v_[377] * v_[150] + v_[222] * v_[320]) + (v_[377] * v_[425] + v_[222] * v_[564]) * 0.08 - (v_[131] * v_[378] + v_[491] * x_in[45] + v_[680] * v_[659] + v_[74] * v_[581])) * v_[506];
+ jac[184] = 0 - (v_[119] * v_[210] + v_[423] * v_[429] + v_[345] * v_[378] + v_[255] * v_[356] + v_[420] * v_[659] - (v_[422] * v_[150] + v_[253] * v_[320]) + (v_[422] * v_[425] + v_[253] * v_[564]) * 0.08 - (v_[442] * x_in[45] + v_[207] * v_[581])) * v_[541] + (0 - (v_[119] * v_[217] + v_[422] * v_[429] + v_[253] * v_[356]) - (v_[423] * v_[150] + v_[255] * v_[320]) + (v_[423] * v_[425] + v_[255] * v_[564]) * 0.08 - (v_[442] * v_[378] + v_[345] * x_in[45] + v_[207] * v_[659] + v_[420] * v_[581])) * v_[506];
+ jac[185] = 0 - (v_[127] * v_[210] + v_[483] * v_[429] + v_[711] * v_[378] + v_[715] * v_[356] + v_[480] * v_[659] - (v_[482] * v_[150] + v_[714] * v_[320]) + (v_[482] * v_[425] + v_[714] * v_[564]) * 0.08 - (v_[502] * x_in[45] + v_[722] * v_[581])) * v_[541] + (0 - (v_[127] * v_[217] + v_[482] * v_[429] + v_[714] * v_[356]) - (v_[483] * v_[150] + v_[715] * v_[320]) + (v_[483] * v_[425] + v_[715] * v_[564]) * 0.08 - (v_[502] * v_[378] + v_[711] * x_in[45] + v_[722] * v_[659] + v_[480] * v_[581])) * v_[506];
+ jac[189] = 0 - (v_[574] * v_[429] + v_[712] * v_[378] + v_[735] * v_[356] + v_[353] * v_[659] - (v_[573] * v_[150] + v_[733] * v_[320]) + (v_[573] * v_[425] + v_[733] * v_[564]) * 0.08 - (v_[260] + v_[577] * x_in[45] + v_[224] * v_[581])) * v_[541] + (0 - (v_[573] * v_[429] + v_[733] * v_[356]) - (v_[574] * v_[150] + v_[735] * v_[320]) + (v_[574] * v_[425] + v_[735] * v_[564]) * 0.08 - (v_[611] + v_[577] * v_[378] + v_[712] * x_in[45] + v_[224] * v_[659] + v_[353] * v_[581])) * v_[506];
+ jac[190] = 0 - (v_[593] * v_[429] + v_[612] * v_[378] + v_[744] * v_[356] + v_[517] * v_[659] - (v_[592] * v_[150] + v_[743] * v_[320]) + (v_[592] * v_[425] + v_[743] * v_[564]) * 0.08 - (v_[741] * x_in[45] + v_[132] * v_[581])) * v_[541] + (0 - (v_[592] * v_[429] + v_[743] * v_[356]) - (v_[593] * v_[150] + v_[744] * v_[320]) + (v_[593] * v_[425] + v_[744] * v_[564]) * 0.08 - (v_[741] * v_[378] + v_[612] * x_in[45] + v_[132] * v_[659] + v_[517] * v_[581])) * v_[506];
+ jac[191] = 0 - (v_[606] * v_[429] + v_[48] * v_[356] + v_[55] * v_[659] - (v_[605] * v_[150] + v_[566] * v_[320]) + (v_[605] * v_[425] + v_[566] * v_[564]) * 0.08 - v_[47] * v_[581]) * v_[541] + (0 - (v_[605] * v_[429] + v_[566] * v_[356]) - (v_[606] * v_[150] + v_[48] * v_[320]) + (v_[606] * v_[425] + v_[48] * v_[564]) * 0.08 - (v_[47] * v_[659] + v_[55] * v_[581])) * v_[506];
+ v_[506] = sin(x_in[11]);
+ v_[541] = cos(x_in[11]);
+ jac[198] = 0 - (v_[43] * v_[254] + v_[46] * v_[308] + v_[50] * v_[72] + v_[51] * v_[511] + v_[53] * v_[259] + v_[57] * v_[316] + v_[56] * v_[660] + v_[52] * v_[351] + v_[560] * v_[561] + v_[597] * v_[600] + v_[520] * v_[677] + v_[122] * v_[93] + (v_[53] * v_[514] + v_[560] * v_[599]) * 0.35) * v_[506] + (v_[43] * v_[308] + v_[50] * v_[511] + v_[57] * v_[259] + v_[52] * v_[660] + v_[597] * v_[561] + v_[122] * v_[677] - (v_[46] * v_[254] + v_[53] * v_[316] + v_[560] * v_[600]) + (v_[57] * v_[514] + v_[597] * v_[599]) * 0.35 - (v_[51] * v_[72] + v_[56] * v_[351] + v_[520] * v_[93])) * v_[541];
+ jac[199] = 0 - (v_[191] * v_[254] + v_[192] * v_[308] + v_[195] * v_[72] + v_[196] * v_[511] + v_[198] * v_[259] + v_[202] * v_[316] + v_[201] * v_[660] + v_[197] * v_[351] + v_[69] * v_[561] + v_[678] * v_[600] + v_[148] * v_[677] + v_[247] * v_[93] + (v_[39] * v_[254] + v_[198] * v_[514] + v_[69] * v_[599]) * 0.35) * v_[506] + (v_[191] * v_[308] + v_[195] * v_[511] + v_[202] * v_[259] + v_[197] * v_[660] + v_[678] * v_[561] + v_[247] * v_[677] - (v_[192] * v_[254] + v_[198] * v_[316] + v_[69] * v_[600]) + (v_[39] * v_[308] + v_[202] * v_[514] + v_[678] * v_[599]) * 0.35 - (v_[196] * v_[72] + v_[201] * v_[351] + v_[148] * v_[93])) * v_[541];
+ jac[200] = 0 - (v_[293] * v_[254] + v_[294] * v_[308] + v_[297] * v_[72] + v_[298] * v_[511] + v_[300] * v_[259] + v_[303] * v_[316] + v_[302] * v_[660] + v_[299] * v_[351] + v_[309] * v_[561] + v_[519] * v_[600] + v_[314] * v_[677] + v_[338] * v_[93] + (v_[119] * v_[254] + v_[300] * v_[514] + v_[309] * v_[599]) * 0.35) * v_[506] + (v_[293] * v_[308] + v_[297] * v_[511] + v_[303] * v_[259] + v_[299] * v_[660] + v_[519] * v_[561] + v_[338] * v_[677] - (v_[294] * v_[254] + v_[300] * v_[316] + v_[309] * v_[600]) + (v_[119] * v_[308] + v_[303] * v_[514] + v_[519] * v_[599]) * 0.35 - (v_[298] * v_[72] + v_[302] * v_[351] + v_[314] * v_[93])) * v_[541];
+ jac[201] = 0 - (v_[59] * v_[254] + v_[61] * v_[308] + v_[373] * v_[259] + v_[375] * v_[316] + v_[311] * v_[660] + v_[194] * v_[351] + v_[75] * v_[561] + v_[527] * v_[600] + v_[521] * v_[677] + v_[374] * v_[93] + (v_[373] * v_[514] + v_[75] * v_[599]) * 0.35) * v_[506] + (v_[59] * v_[308] + v_[375] * v_[259] + v_[194] * v_[660] + v_[527] * v_[561] + v_[374] * v_[677] - (v_[61] * v_[254] + v_[373] * v_[316] + v_[75] * v_[600]) + (v_[375] * v_[514] + v_[527] * v_[599]) * 0.35 - (v_[311] * v_[351] + v_[521] * v_[93])) * v_[541];
+ jac[202] = 0 - (v_[416] * v_[254] + v_[417] * v_[308] + v_[419] * v_[259] + v_[421] * v_[316] + v_[220] * v_[660] + v_[212] * v_[351] + v_[430] * v_[561] + v_[697] * v_[600] + v_[343] * v_[677] + v_[418] * v_[93] + (v_[419] * v_[514] + v_[430] * v_[599]) * 0.35) * v_[506] + (v_[416] * v_[308] + v_[421] * v_[259] + v_[212] * v_[660] + v_[697] * v_[561] + v_[418] * v_[677] - (v_[417] * v_[254] + v_[419] * v_[316] + v_[430] * v_[600]) + (v_[421] * v_[514] + v_[697] * v_[599]) * 0.35 - (v_[220] * v_[351] + v_[343] * v_[93])) * v_[541];
+ jac[203] = 0 - (v_[476] * v_[254] + v_[477] * v_[308] + v_[479] * v_[259] + v_[481] * v_[316] + v_[726] * v_[660] + v_[727] * v_[351] + v_[384] * v_[561] + v_[318] * v_[600] + v_[710] * v_[677] + v_[478] * v_[93] + (v_[479] * v_[514] + v_[384] * v_[599]) * 0.35) * v_[506] + (v_[476] * v_[308] + v_[481] * v_[259] + v_[727] * v_[660] + v_[318] * v_[561] + v_[478] * v_[677] - (v_[477] * v_[254] + v_[479] * v_[316] + v_[384] * v_[600]) + (v_[481] * v_[514] + v_[318] * v_[599]) * 0.35 - (v_[726] * v_[351] + v_[710] * v_[93])) * v_[541];
+ jac[207] = 0 - (v_[50] * v_[72] + v_[51] * v_[511] + v_[570] * v_[259] + v_[572] * v_[316] + v_[571] * v_[660] + v_[569] * v_[351] + v_[719] * v_[561] + v_[716] * v_[600] + v_[382] * v_[677] + v_[576] * v_[93] + (v_[570] * v_[514] + v_[719] * v_[599]) * 0.35) * v_[506] + (v_[50] * v_[511] + v_[572] * v_[259] + v_[569] * v_[660] + v_[716] * v_[561] + v_[576] * v_[677] - (v_[570] * v_[316] + v_[719] * v_[600]) + (v_[572] * v_[514] + v_[716] * v_[599]) * 0.35 - (v_[51] * v_[72] + v_[571] * v_[351] + v_[382] * v_[93])) * v_[541];
+ jac[208] = 0 - (v_[590] * v_[259] + v_[591] * v_[316] + v_[745] * v_[660] + v_[746] * v_[351] + v_[307] * v_[561] + v_[734] * v_[600] + v_[740] * v_[677] + v_[748] * v_[93] + (v_[254] + v_[590] * v_[514] + v_[307] * v_[599]) * 0.35) * v_[506] + (v_[591] * v_[259] + v_[746] * v_[660] + v_[734] * v_[561] + v_[748] * v_[677] - (v_[590] * v_[316] + v_[307] * v_[600]) + (v_[308] + v_[591] * v_[514] + v_[734] * v_[599]) * 0.35 - (v_[745] * v_[351] + v_[740] * v_[93])) * v_[541];
+ jac[209] = 0 - (0.1104774 * v_[259] + -0.0004405 * v_[316] + v_[653] * v_[561] + v_[617] * v_[600] + v_[625] * v_[677] + v_[317] * v_[93] + (0.1104774 * v_[514] + v_[653] * v_[599]) * 0.35) * v_[506] + (-0.0004405 * v_[259] + v_[617] * v_[561] + v_[317] * v_[677] - (0.1104774 * v_[316] + v_[653] * v_[600]) + (-0.0004405 * v_[514] + v_[617] * v_[599]) * 0.35 - v_[625] * v_[93]) * v_[541];
+ v_[541] = v_[35] * 0.881;
+ v_[506] = v_[235] * x_in[19] + v_[175] * x_in[20];
+ v_[317] = -1 * x_in[18] + x_in[30];
+ v_[625] = v_[29] * v_[506] + v_[25] * v_[317];
+ v_[617] = v_[236] * v_[506] + v_[29] * v_[317];
+ v_[653] = v_[111] * v_[625] + v_[28] * v_[617];
+ v_[316] = v_[33] * -0.881;
+ v_[514] = v_[28] * v_[625] + v_[31] * v_[617];
+ v_[259] = v_[541] * v_[653] + v_[316] * v_[514];
+ v_[599] = v_[30] * 3.146;
+ v_[600] = v_[27] * -3.146;
+ v_[561] = v_[259] + v_[599] * v_[617] + v_[600] * v_[625];
+ v_[677] = v_[24] * 3.44;
+ v_[93] = 0 - v_[677];
+ v_[748] = v_[561] * -1 + v_[93] * v_[317] + v_[117] * x_in[30];
+ v_[740] = 0 - v_[541];
+ v_[746] = v_[175] * x_in[19] + v_[105] * x_in[20];
+ v_[745] = -1 * v_[746] + x_in[31];
+ v_[734] = v_[745] + x_in[32];
+ v_[307] = v_[109] * 0.881 + (0 - v_[112]) * 0.110125 + v_[113] * -0.000881;
+ v_[308] = v_[740] * v_[734] + v_[307] * v_[514] + v_[36] * x_in[32];
+ v_[254] = 0 - v_[316];
+ v_[351] = 0 - v_[307];
+ v_[660] = v_[254] * v_[734] + v_[351] * v_[653] - v_[34] * x_in[32];
+ v_[591] = 0 - v_[599];
+ v_[590] = v_[107] * 3.146 + (0 - v_[108]) * 0.47422804 + v_[110] * 0.0825825;
+ v_[576] = v_[308] * v_[28] + v_[660] * v_[31] + v_[591] * v_[745] + v_[590] * v_[625] + v_[38] * x_in[31];
+ v_[382] = 0 - v_[600];
+ v_[569] = 0 - v_[590];
+ v_[571] = v_[308] * v_[32] + v_[660] * v_[28] + v_[382] * v_[745] + v_[569] * v_[617] - v_[37] * x_in[31];
+ v_[716] = v_[106] * -3.44;
+ v_[719] = 0 - v_[716] - 0.1466472;
+ v_[511] = v_[576] * v_[26] + v_[571] * v_[29] + v_[719] * v_[317] - v_[116] * x_in[30];
+ v_[72] = v_[23] * x_in[20] + v_[233] * x_in[19] + v_[106] * x_in[18] + v_[105] * x_in[23] + v_[143] * x_in[22];
+ v_[572] = v_[118] * v_[149] + v_[144] * v_[89] + v_[72] * x_in[30];
+ v_[570] = 0 - v_[506];
+ v_[478] = v_[570] * x_in[30];
+ v_[710] = 0.207 * x_in[20] + -1 * x_in[21];
+ v_[727] = v_[746] * v_[710] - v_[317] * v_[72];
+ v_[726] = v_[506] * v_[317];
+ v_[318] = -1 * v_[150];
+ v_[384] = v_[282] * x_in[20] + v_[174] * x_in[19] + v_[24] * x_in[18] + v_[118] * x_in[23] + v_[144] * x_in[22];
+ v_[481] = v_[25] * v_[710] + v_[29] * v_[384] + v_[178] * v_[746];
+ v_[479] = 0 - v_[481];
+ v_[477] = v_[29] * v_[318] + v_[26] * v_[572] + v_[176] * v_[478] + v_[479] * x_in[31];
+ v_[476] = -1 * v_[478] + x_in[49];
+ v_[418] = -0.08 * v_[317] + -1 * v_[72];
+ v_[343] = v_[625] * v_[418];
+ v_[212] = v_[745] * v_[481];
+ v_[220] = v_[625] * v_[617];
+ v_[697] = v_[29] * v_[710] + v_[26] * v_[384] + v_[176] * v_[746];
+ v_[430] = v_[25] * v_[318] + v_[29] * v_[572] + v_[178] * v_[478] + v_[697] * x_in[31];
+ v_[421] = v_[31] * v_[697] + v_[28] * v_[481] + v_[184] * v_[745];
+ v_[419] = 0 - v_[421];
+ v_[417] = v_[28] * v_[477] + v_[32] * v_[430] + v_[181] * v_[476] + v_[419] * x_in[32];
+ v_[416] = v_[476] + x_in[50];
+ v_[374] = -0.35 * v_[617] + v_[418];
+ v_[521] = v_[514] * v_[374];
+ v_[194] = v_[734] * v_[421];
+ v_[311] = v_[514] * v_[653];
+ v_[527] = v_[734] * v_[734];
+ v_[75] = 0.881 * v_[417] + 0.110125 * v_[416] + -0.881 * (v_[521] - v_[194]) + 0.110125 * v_[311] - -0.000881 * (v_[527] + v_[514] * v_[514]);
+ v_[375] = v_[28] * v_[697] + v_[32] * v_[481] + v_[181] * v_[745];
+ v_[373] = v_[31] * v_[477] + v_[28] * v_[430] + v_[184] * v_[476] + v_[375] * x_in[32];
+ v_[338] = v_[653] * v_[374] - v_[734] * v_[375];
+ v_[527] = 0.881 * v_[373] + 0.000881 * v_[416] + 0.881 * v_[338] + -0.000881 * v_[311] - 0.110125 * (v_[527] + v_[653] * v_[653]);
+ v_[314] = v_[745] * v_[745];
+ v_[299] = v_[625] * v_[625];
+ v_[302] = 3.146 * v_[477] + 0.47422804 * v_[476] + -3.146 * (v_[343] - v_[212]) + 0.47422804 * v_[220] + v_[28] * v_[75] + v_[31] * v_[527] - 0.0825825 * (v_[314] + v_[299]);
+ v_[519] = v_[617] * v_[418] - v_[745] * v_[697];
+ v_[309] = v_[617] * v_[617];
+ v_[303] = 3.146 * v_[430] + -0.0825825 * v_[476] + 3.146 * v_[519] + 0.0825825 * v_[220] + v_[32] * v_[75] + v_[28] * v_[527] - 0.47422804 * (v_[314] + v_[309]);
+ v_[300] = v_[317] * v_[317];
+ v_[298] = v_[746] * v_[746];
+ v_[297] = 3.44 * v_[572] + -0.5824264 * v_[478] + 3.44 * v_[727] + -0.5824264 * v_[726] + v_[26] * v_[302] + v_[29] * v_[303] - 0.1466472 * (v_[300] + v_[298]);
+ v_[294] = v_[109] * -0.000881 + v_[113] * -0.000227999999999999;
+ v_[293] = v_[109] * 0.110125 + (0 - v_[112]) * 0.025713;
+ v_[247] = (0 - v_[33]) * -0.000881;
+ v_[148] = (0 - v_[35]) * 0.110125;
+ v_[197] = v_[247] + v_[148];
+ v_[197] = v_[740] * v_[375] + v_[254] * v_[421] + v_[294] * v_[653] + v_[293] * v_[514] + v_[197] * v_[734] + v_[197] * v_[734];
+ v_[254] = v_[107] * 0.0825825 + v_[108] * -0.007418 + v_[110] * 0.002735;
+ v_[740] = v_[107] * 0.47422804 + (0 - v_[108]) * 0.084376 + (0 - v_[110]) * -0.007418;
+ v_[201] = (0 - v_[27]) * 0.0825825;
+ v_[678] = (0 - v_[30]) * 0.47422804;
+ v_[69] = v_[108] * -0.000102;
+ v_[202] = (0 - v_[110]) * 2.1e-05;
+ v_[198] = v_[201] + v_[678] + v_[69] + v_[202];
+ v_[198] = v_[197] + v_[308] * v_[181] + v_[660] * v_[184] + v_[591] * v_[697] + v_[382] * v_[481] + v_[254] * v_[617] + v_[740] * v_[625] + v_[198] * v_[745] + v_[198] * v_[745];
+ v_[382] = v_[106] * -0.5824264 + 0.022734;
+ v_[591] = v_[106] * 0.1466472 - 0.009466;
+ v_[196] = (0 - v_[24]) * 0.1466472;
+ v_[195] = v_[196] + 3.6e-05;
+ v_[112] = v_[109] * -0.110125 + v_[112] * 0.026409;
+ v_[113] = v_[109] * -0.000881 + v_[113] * 0.000468;
+ v_[114] = v_[114] * -0.35 + v_[112] * v_[28] + v_[113] * v_[31] + v_[107] * -0.47422804 + v_[108] * 0.087136 + v_[110] * -0.007418;
+ v_[107] = v_[112] * v_[111] + v_[113] * v_[28] + v_[107] * 0.0825825 + v_[108] * -0.007418 + v_[110] * 0.005495;
+ jac[864] = v_[115] * -0.08 + v_[114] * v_[29] + v_[107] * v_[25] + v_[106] * 0.1466472 - 0.011033;
+ v_[115] = v_[114] * v_[236] + v_[107] * v_[29] + v_[106] * 0.5824264 - 0.022734;
+ v_[195] = v_[576] * v_[176] + v_[571] * v_[178] + v_[198] * -1 + v_[677] * v_[710] + v_[382] * v_[317] + v_[591] * v_[506] + v_[195] * v_[746] + v_[195] * v_[746] + v_[115] * x_in[30];
+ v_[35] = v_[33] * 0.110125 + v_[35] * -0.000881;
+ v_[148] = v_[541] * v_[374] + v_[351] * v_[421] + v_[294] * v_[734] + v_[35] * v_[514] + v_[148] * v_[653] + v_[148] * v_[653] + v_[113] * x_in[32];
+ v_[35] = v_[316] * v_[374] + v_[307] * v_[375] + v_[293] * v_[734] + v_[35] * v_[653] + v_[247] * v_[514] + v_[247] * v_[514] - v_[112] * x_in[32];
+ v_[247] = v_[27] * 0.47422804 + v_[30] * 0.0825825 + (0 - v_[108]) * 2.1e-05 + v_[110] * -0.000102;
+ v_[202] = v_[678] - v_[202];
+ v_[202] = v_[259] * -0.35 + v_[148] * v_[28] + v_[35] * v_[31] + v_[599] * v_[418] + v_[569] * v_[481] + v_[254] * v_[745] + v_[247] * v_[625] + v_[202] * v_[617] + v_[202] * v_[617] + v_[107] * x_in[31];
+ v_[69] = v_[201] - v_[69];
+ v_[69] = v_[148] * v_[111] + v_[35] * v_[28] + v_[600] * v_[418] + v_[590] * v_[697] + v_[740] * v_[745] + v_[247] * v_[617] + v_[69] * v_[625] + v_[69] * v_[625] - v_[114] * x_in[31];
+ v_[716] = v_[716] + 0.1466472;
+ v_[247] = v_[24] * -0.5824264 + 5.1e-05;
+ jac[882] = jac[900] + v_[34] * v_[181] + v_[36] * v_[184] + v_[27] * 0.47422804 + v_[30] * -0.0825825 + v_[108] * 2.1e-05 + v_[110] * -0.000102;
+ v_[740] = v_[37] * v_[176] + v_[38] * v_[178] + jac[882] * -1 + v_[24] * -0.5824264 + 5.1e-05;
+ v_[591] = v_[202] * v_[236] + v_[69] * v_[29] + v_[716] * v_[710] + v_[247] * v_[317] + v_[591] * v_[746] + -3.6e-05 * v_[506] + -3.6e-05 * v_[506] - v_[740] * x_in[30];
+ v_[590] = sin(x_in[12]);
+ v_[600] = v_[746] * x_in[30];
+ v_[201] = 0 - v_[384];
+ v_[254] = v_[105] * v_[149] + v_[143] * v_[89] + v_[201] * x_in[30];
+ v_[569] = v_[506] * v_[746];
+ v_[599] = v_[506] * v_[710];
+ v_[259] = v_[317] * v_[384];
+ v_[678] = v_[746] * v_[317];
+ v_[293] = 0 - v_[625];
+ jac[558] = v_[37] * v_[479] + v_[38] * v_[697] + v_[114] * v_[293] + v_[107] * v_[617] + v_[198];
+ v_[198] = v_[29] * x_in[48] + v_[236] * v_[600] + v_[293] * x_in[31];
+ v_[307] = v_[25] * x_in[48] + v_[29] * v_[600] + v_[617] * x_in[31];
+ v_[316] = -0.08 * x_in[48] + -1 * v_[254];
+ v_[294] = v_[625] * v_[745];
+ v_[351] = v_[625] * v_[697] - v_[617] * v_[481];
+ v_[541] = v_[617] * v_[745];
+ v_[33] = 0 - v_[514];
+ jac[576] = v_[34] * v_[419] + v_[36] * v_[375] + v_[112] * v_[33] + v_[113] * v_[653] + v_[197];
+ v_[197] = v_[28] * v_[198] + v_[111] * v_[307] + v_[33] * x_in[32];
+ v_[109] = v_[31] * v_[198] + v_[28] * v_[307] + v_[653] * x_in[32];
+ v_[192] = -0.35 * v_[198] + v_[316];
+ v_[191] = v_[514] * v_[734];
+ v_[122] = v_[514] * v_[375] - v_[653] * v_[421];
+ v_[520] = v_[653] * v_[734];
+ v_[52] = -0.110125 * v_[197] + -0.000881 * v_[109] + 0.881 * v_[192] + 0.110125 * v_[191] + 0.881 * v_[122] + -0.000881 * v_[520];
+ v_[56] = 0.1466472 * x_in[48] + 0.5824264 * v_[600] + 3.44 * v_[254] + 0.1466472 * v_[569] + -3.44 * (v_[599] - v_[259]) + -0.5824264 * v_[678] + -1 * (-0.47422804 * v_[198] + 0.0825825 * v_[307] + 3.146 * v_[316] + 0.47422804 * v_[294] + 3.146 * v_[351] + 0.0825825 * v_[541] + v_[52]);
+ v_[597] = cos(x_in[12]);
+ jac[216] = 0 - (0 - (v_[116] * v_[89] + v_[748] * x_in[22]) + v_[748] * x_in[20] * 0.3735 - (v_[117] * v_[149] + v_[511] * x_in[23]) + v_[511] * x_in[19] * -0.3735 + (v_[297] + v_[511] * x_in[18]) * -0.207 - (v_[195] * x_in[19] + v_[591] * x_in[20])) * v_[590] + (v_[116] * v_[149] + v_[748] * x_in[23] + v_[195] * x_in[20] + v_[748] * x_in[19] * 0.3735 + (v_[56] + v_[748] * x_in[18]) * 0.207 - (v_[117] * v_[89] + v_[511] * x_in[22]) + v_[511] * x_in[20] * 0.3735 - v_[591] * x_in[19]) * v_[597];
+ v_[560] = v_[185] * 0.881 + (0 - v_[180]) * -0.000881;
+ v_[57] = v_[182] * -0.881;
+ v_[53] = v_[180] * 0.110125;
+ v_[46] = v_[57] - v_[53];
+ v_[43] = v_[560] * v_[653] + v_[46] * v_[514];
+ v_[48] = v_[179] * 3.146 + (0 - v_[180]) * 0.0825825;
+ v_[566] = v_[177] * -3.146;
+ v_[425] = v_[180] * 0.47422804;
+ v_[429] = v_[566] - v_[425];
+ v_[320] = v_[43] + v_[48] * v_[617] + v_[429] * v_[625];
+ v_[606] = v_[174] * 3.44 + v_[175] * -0.5824264;
+ v_[605] = 0 - v_[606];
+ v_[612] = (0 - v_[175]) * 0.1466472;
+ v_[741] = v_[320] * -1 + v_[605] * v_[317] + v_[612] * v_[506] + v_[245] * x_in[30];
+ v_[744] = 0 - v_[560];
+ v_[743] = v_[238] * 0.881 + (0 - v_[240]) * 0.110125 + v_[241] * -0.000881;
+ v_[378] = v_[744] * v_[734] + v_[743] * v_[514] + v_[186] * x_in[32];
+ v_[53] = 0 - v_[57] + v_[53];
+ v_[57] = 0 - v_[743];
+ v_[593] = v_[53] * v_[734] + v_[57] * v_[653] - v_[183] * x_in[32];
+ v_[592] = 0 - v_[48];
+ v_[712] = v_[234] * 3.146 + (0 - v_[237]) * 0.47422804 + v_[239] * 0.0825825;
+ v_[577] = v_[378] * v_[28] + v_[593] * v_[31] + v_[592] * v_[745] + v_[712] * v_[625] + v_[188] * x_in[31];
+ v_[425] = 0 - v_[566] + v_[425];
+ v_[566] = 0 - v_[712];
+ v_[735] = v_[378] * v_[32] + v_[593] * v_[28] + v_[425] * v_[745] + v_[566] * v_[617] - v_[187] * x_in[31];
+ v_[733] = v_[233] * -3.44;
+ v_[611] = v_[235] * -0.5824264;
+ v_[260] = 0 - v_[733] - v_[611];
+ v_[574] = 0 - v_[612];
+ v_[573] = v_[577] * v_[26] + v_[735] * v_[29] + v_[260] * v_[317] + v_[574] * v_[746] - v_[244] * x_in[30];
+ v_[519] = -5.1e-05 * x_in[48] + 0.144171 * v_[478] + 3.6e-05 * v_[600] + -0.1466472 * v_[318] + -0.5824264 * v_[572] + -0.5824264 * v_[727] + 3.6e-05 * v_[678] + 0.022734 * (v_[300] - v_[506] * v_[506]) + v_[176] * v_[302] + v_[178] * v_[303] + -1 * (0.089871 * v_[476] + 2.1e-05 * v_[198] + -0.000102 * v_[307] + 0.47422804 * v_[477] + -0.0825825 * v_[430] + 0.47422804 * (v_[212] - v_[343]) + 0.081641 * v_[220] + 2.1e-05 * v_[294] + v_[181] * v_[75] + v_[184] * v_[527] + 0.110125 * v_[417] + 0.000881 * v_[373] + 0.026181 * v_[416] + 0.110125 * (v_[194] - v_[521]) + 0.025941 * v_[311] - -0.000881 * v_[338] - 0.0825825 * v_[519] - -0.000102 * v_[541] - -0.007418 * (v_[309] - v_[299])) - 0.1466472 * (v_[506] * v_[72] - v_[746] * v_[384]) - -0.123672 * v_[726] - -5.1e-05 * v_[569];
+ v_[338] = v_[238] * -0.000881 + v_[241] * -0.000227999999999999;
+ v_[373] = v_[238] * 0.110125 + (0 - v_[240]) * 0.025713;
+ v_[311] = (0 - v_[182]) * -0.000881;
+ v_[194] = (0 - v_[185]) * 0.110125;
+ v_[521] = v_[311] + v_[194];
+ v_[521] = v_[744] * v_[375] + v_[53] * v_[421] + v_[338] * v_[653] + v_[373] * v_[514] + v_[521] * v_[734] + v_[521] * v_[734];
+ v_[53] = v_[234] * 0.0825825 + (0 - v_[180]) * -0.000102 + v_[237] * -0.007418 + v_[239] * 0.002735;
+ v_[744] = v_[234] * 0.47422804 + v_[180] * 2.1e-05 + (0 - v_[237]) * 0.084376 + (0 - v_[239]) * -0.007418;
+ v_[416] = (0 - v_[177]) * 0.0825825;
+ v_[417] = (0 - v_[179]) * 0.47422804;
+ v_[212] = v_[237] * -0.000102;
+ v_[343] = (0 - v_[239]) * 2.1e-05;
+ v_[727] = v_[416] + v_[417] + v_[212] + v_[343];
+ v_[727] = v_[521] + v_[378] * v_[181] + v_[593] * v_[184] + v_[592] * v_[697] + v_[425] * v_[481] + v_[53] * v_[617] + v_[744] * v_[625] + v_[727] * v_[745] + v_[727] * v_[745];
+ v_[425] = v_[233] * -0.5824264 + v_[175] * 3.6e-05 + v_[235] * -0.133138;
+ v_[592] = v_[233] * 0.1466472 + (0 - v_[175]) * -5.1e-05 + v_[235] * 0.022734;
+ v_[711] = (0 - v_[174]) * 0.1466472;
+ v_[502] = (0 - v_[235]) * -5.1e-05;
+ v_[210] = v_[711] - v_[502];
+ v_[240] = v_[238] * -0.110125 + v_[240] * 0.026409;
+ v_[241] = v_[238] * -0.000881 + v_[241] * 0.000468;
+ jac[577] = v_[183] * v_[419] + v_[186] * v_[375] + v_[240] * v_[33] + v_[241] * v_[653] + v_[521];
+ v_[242] = v_[242] * -0.35 + v_[240] * v_[28] + v_[241] * v_[31] + v_[234] * -0.47422804 + v_[180] * 2.1e-05 + v_[237] * 0.087136 + v_[239] * -0.007418;
+ v_[234] = v_[240] * v_[111] + v_[241] * v_[28] + v_[234] * 0.0825825 + v_[180] * -0.000102 + v_[237] * -0.007418 + v_[239] * 0.005495;
+ jac[559] = v_[187] * v_[479] + v_[188] * v_[697] + v_[242] * v_[293] + v_[234] * v_[617] + v_[727];
+ jac[865] = v_[243] * -0.08 + v_[242] * v_[29] + v_[234] * v_[25] + v_[233] * 0.1466472 + v_[175] * -5.1e-05 + v_[235] * 0.022734;
+ v_[243] = v_[242] * v_[236] + v_[234] * v_[29] + v_[233] * 0.5824264 + v_[175] * 3.6e-05 + v_[235] * 0.134705;
+ v_[210] = v_[577] * v_[176] + v_[735] * v_[178] + v_[727] * -1 + v_[606] * v_[710] + v_[574] * v_[384] + v_[425] * v_[317] + v_[592] * v_[506] + v_[210] * v_[746] + v_[210] * v_[746] + v_[243] * x_in[30];
+ v_[185] = v_[182] * 0.110125 + v_[185] * -0.000881 + v_[180] * 0.025941;
+ v_[194] = v_[560] * v_[374] + v_[57] * v_[421] + v_[338] * v_[734] + v_[185] * v_[514] + v_[194] * v_[653] + v_[194] * v_[653] + v_[241] * x_in[32];
+ v_[185] = v_[46] * v_[374] + v_[743] * v_[375] + v_[373] * v_[734] + v_[185] * v_[653] + v_[311] * v_[514] + v_[311] * v_[514] - v_[240] * x_in[32];
+ v_[311] = v_[177] * 0.47422804 + v_[179] * 0.0825825 + v_[180] * 0.081641 + (0 - v_[237]) * 2.1e-05 + v_[239] * -0.000102;
+ v_[373] = (0 - v_[180]) * -0.007418;
+ v_[343] = v_[417] + v_[373] - v_[343];
+ v_[343] = v_[43] * -0.35 + v_[194] * v_[28] + v_[185] * v_[31] + v_[48] * v_[418] + v_[566] * v_[481] + v_[53] * v_[745] + v_[311] * v_[625] + v_[343] * v_[617] + v_[343] * v_[617] + v_[234] * x_in[31];
+ v_[373] = v_[416] - v_[373] - v_[212];
+ v_[373] = v_[194] * v_[111] + v_[185] * v_[28] + v_[429] * v_[418] + v_[712] * v_[697] + v_[744] * v_[745] + v_[311] * v_[617] + v_[373] * v_[625] + v_[373] * v_[625] - v_[242] * x_in[31];
+ v_[611] = v_[733] + v_[611];
+ v_[733] = v_[174] * -0.5824264 + (0 - v_[175]) * -0.123672 + (0 - v_[235]) * 3.6e-05;
+ v_[311] = v_[175] * 0.022734;
+ v_[744] = 0 - v_[311];
+ jac[883] = jac[901] + v_[183] * v_[181] + v_[186] * v_[184] + v_[177] * 0.47422804 + v_[179] * -0.0825825 + v_[180] * 0.089871 + v_[237] * 2.1e-05 + v_[239] * -0.000102;
+ v_[712] = v_[187] * v_[176] + v_[188] * v_[178] + jac[883] * -1 + v_[174] * -0.5824264 + v_[175] * 0.144171 + v_[235] * 3.6e-05;
+ v_[744] = v_[343] * v_[236] + v_[373] * v_[29] + v_[611] * v_[710] + v_[612] * v_[72] + v_[733] * v_[317] + v_[592] * v_[746] + v_[744] * v_[506] + v_[744] * v_[506] - v_[712] * x_in[30];
+ v_[191] = -0.110125 * v_[192] + 0.026409 * v_[197] - 0.110125 * v_[122] - 0.025713 * v_[191];
+ v_[520] = -0.000881 * v_[192] + 0.000468 * v_[109] + -0.000227999999999999 * v_[520] + -0.000881 * v_[122];
+ v_[52] = 2.1e-05 * v_[476] + 0.087136 * v_[198] + -0.007418 * v_[307] + -0.47422804 * v_[316] + -0.007418 * v_[541] + -0.000102 * (v_[314] - v_[299]) + v_[28] * v_[191] + v_[31] * v_[520] + -0.35 * v_[52] - 0.47422804 * v_[351] - 0.084376 * v_[294] - 2.1e-05 * v_[220];
+ v_[541] = -0.000102 * v_[476] + -0.007418 * v_[198] + 0.005495 * v_[307] + 0.0825825 * v_[316] + 0.002735 * v_[541] + 0.0825825 * v_[351] + -0.000102 * v_[220] + v_[111] * v_[191] + v_[28] * v_[520] - -0.007418 * v_[294] - 2.1e-05 * (v_[314] - v_[309]);
+ v_[678] = 0.022734 * x_in[48] + 3.6e-05 * v_[478] + 0.134705 * v_[600] + 0.5824264 * v_[254] + -0.133138 * v_[678] + -0.5824264 * (v_[599] - v_[259]) + 0.022734 * v_[569] + v_[236] * v_[52] + v_[29] * v_[541] - 3.6e-05 * v_[726] - -5.1e-05 * (v_[300] - v_[298]);
+ jac[217] = 0 - (0 - (v_[244] * v_[89] + v_[741] * x_in[22]) + v_[741] * x_in[20] * 0.3735 - (v_[245] * v_[149] + v_[573] * x_in[23]) + (v_[297] + v_[573] * x_in[19]) * -0.3735 + v_[573] * x_in[18] * -0.207 - (v_[519] + v_[210] * x_in[19] + v_[744] * x_in[20])) * v_[590] + (v_[244] * v_[149] + v_[741] * x_in[23] + v_[210] * x_in[20] + (v_[56] + v_[741] * x_in[19]) * 0.3735 + v_[741] * x_in[18] * 0.207 - (v_[245] * v_[89] + v_[573] * x_in[22]) + v_[573] * x_in[20] * 0.3735 - (v_[678] + v_[744] * x_in[19])) * v_[597];
+ v_[259] = v_[288] * 0.881 + (0 - v_[285]) * -0.000881;
+ v_[599] = v_[286] * -0.881;
+ v_[569] = v_[285] * 0.110125;
+ v_[254] = v_[599] - v_[569];
+ v_[298] = v_[259] * v_[653] + v_[254] * v_[514];
+ v_[300] = v_[284] * 3.146 + (0 - v_[285]) * 0.0825825;
+ v_[726] = v_[283] * -3.146;
+ v_[351] = v_[285] * 0.47422804;
+ v_[294] = v_[726] - v_[351];
+ v_[316] = v_[298] + v_[300] * v_[617] + v_[294] * v_[625];
+ v_[309] = v_[282] * 3.44 + v_[105] * -0.5824264;
+ v_[314] = 0 - v_[309];
+ v_[220] = 0.71208 + (0 - v_[105]) * 0.1466472;
+ v_[299] = v_[316] * -1 + v_[314] * v_[317] + v_[220] * v_[506] + v_[336] * x_in[30];
+ v_[122] = 0 - v_[259];
+ v_[192] = v_[329] * 0.881 + (0 - v_[331]) * 0.110125 + v_[332] * -0.000881;
+ v_[109] = v_[122] * v_[734] + v_[192] * v_[514] + v_[289] * x_in[32];
+ v_[569] = 0 - v_[599] + v_[569];
+ v_[599] = 0 - v_[192];
+ v_[197] = v_[569] * v_[734] + v_[599] * v_[653] - v_[287] * x_in[32];
+ v_[592] = 0 - v_[300];
+ v_[612] = v_[327] * 3.146 + (0 - v_[328]) * 0.47422804 + v_[330] * 0.0825825;
+ v_[429] = v_[109] * v_[28] + v_[197] * v_[31] + v_[592] * v_[745] + v_[612] * v_[625] + v_[291] * x_in[31];
+ v_[351] = 0 - v_[726] + v_[351];
+ v_[726] = 0 - v_[612];
+ v_[212] = v_[109] * v_[32] + v_[197] * v_[28] + v_[351] * v_[745] + v_[726] * v_[617] - v_[290] * x_in[31];
+ v_[416] = v_[23] * -3.44;
+ v_[53] = v_[175] * -0.5824264;
+ v_[566] = 0 - v_[416] - v_[53];
+ v_[48] = 0 - v_[220];
+ v_[43] = v_[429] * v_[26] + v_[212] * v_[29] + v_[566] * v_[317] + v_[48] * v_[746] - v_[335] * x_in[30];
+ v_[417] = v_[329] * -0.000881 + v_[332] * -0.000227999999999999;
+ v_[743] = v_[329] * 0.110125 + (0 - v_[331]) * 0.025713;
+ v_[46] = (0 - v_[286]) * -0.000881;
+ v_[338] = (0 - v_[288]) * 0.110125;
+ v_[57] = v_[46] + v_[338];
+ v_[57] = v_[122] * v_[375] + v_[569] * v_[421] + v_[417] * v_[653] + v_[743] * v_[514] + v_[57] * v_[734] + v_[57] * v_[734];
+ v_[569] = v_[327] * 0.0825825 + (0 - v_[285]) * -0.000102 + v_[328] * -0.007418 + v_[330] * 0.002735;
+ v_[122] = v_[327] * 0.47422804 + v_[285] * 2.1e-05 + (0 - v_[328]) * 0.084376 + (0 - v_[330]) * -0.007418;
+ v_[560] = (0 - v_[283]) * 0.0825825;
+ v_[182] = (0 - v_[284]) * 0.47422804;
+ v_[727] = v_[328] * -0.000102;
+ v_[574] = (0 - v_[330]) * 2.1e-05;
+ v_[521] = v_[560] + v_[182] + v_[727] + v_[574];
+ v_[521] = v_[57] + v_[109] * v_[181] + v_[197] * v_[184] + v_[592] * v_[697] + v_[351] * v_[481] + v_[569] * v_[617] + v_[122] * v_[625] + v_[521] * v_[745] + v_[521] * v_[745];
+ v_[351] = v_[23] * -0.5824264 + v_[105] * 3.6e-05 + v_[175] * -0.133138;
+ v_[592] = v_[23] * 0.1466472 + (0 - v_[105]) * -5.1e-05 + v_[175] * 0.022734;
+ v_[238] = (0 - v_[282]) * 0.1466472;
+ v_[217] = (0 - v_[175]) * -5.1e-05;
+ v_[483] = 0.1205622648 + v_[238] - v_[217];
+ v_[331] = v_[329] * -0.110125 + v_[331] * 0.026409;
+ v_[332] = v_[329] * -0.000881 + v_[332] * 0.000468;
+ jac[578] = v_[287] * v_[419] + v_[289] * v_[375] + v_[331] * v_[33] + v_[332] * v_[653] + v_[57];
+ v_[333] = v_[333] * -0.35 + v_[331] * v_[28] + v_[332] * v_[31] + v_[327] * -0.47422804 + v_[285] * 2.1e-05 + v_[328] * 0.087136 + v_[330] * -0.007418;
+ v_[327] = v_[331] * v_[111] + v_[332] * v_[28] + v_[327] * 0.0825825 + v_[285] * -0.000102 + v_[328] * -0.007418 + v_[330] * 0.005495;
+ jac[560] = v_[290] * v_[479] + v_[291] * v_[697] + v_[333] * v_[293] + v_[327] * v_[617] + v_[521];
+ jac[866] = v_[334] * -0.08 + v_[333] * v_[29] + v_[327] * v_[25] + v_[23] * 0.1466472 + v_[105] * -5.1e-05 + v_[175] * 0.022734;
+ v_[334] = v_[333] * v_[236] + v_[327] * v_[29] + v_[23] * 0.5824264 + v_[105] * 3.6e-05 + v_[175] * 0.134705;
+ v_[483] = v_[429] * v_[176] + v_[212] * v_[178] + v_[521] * -1 + v_[309] * v_[710] + v_[48] * v_[384] + v_[351] * v_[317] + v_[592] * v_[506] + v_[483] * v_[746] + v_[483] * v_[746] + v_[334] * x_in[30];
+ v_[288] = v_[286] * 0.110125 + v_[288] * -0.000881 + v_[285] * 0.025941;
+ v_[338] = v_[259] * v_[374] + v_[599] * v_[421] + v_[417] * v_[734] + v_[288] * v_[514] + v_[338] * v_[653] + v_[338] * v_[653] + v_[332] * x_in[32];
+ v_[288] = v_[254] * v_[374] + v_[192] * v_[375] + v_[743] * v_[734] + v_[288] * v_[653] + v_[46] * v_[514] + v_[46] * v_[514] - v_[331] * x_in[32];
+ v_[46] = v_[283] * 0.47422804 + v_[284] * 0.0825825 + v_[285] * 0.081641 + (0 - v_[328]) * 2.1e-05 + v_[330] * -0.000102;
+ v_[743] = (0 - v_[285]) * -0.007418;
+ v_[574] = v_[182] + v_[743] - v_[574];
+ v_[574] = v_[298] * -0.35 + v_[338] * v_[28] + v_[288] * v_[31] + v_[300] * v_[418] + v_[726] * v_[481] + v_[569] * v_[745] + v_[46] * v_[625] + v_[574] * v_[617] + v_[574] * v_[617] + v_[327] * x_in[31];
+ v_[743] = v_[560] - v_[743] - v_[727];
+ v_[743] = v_[338] * v_[111] + v_[288] * v_[28] + v_[294] * v_[418] + v_[612] * v_[697] + v_[122] * v_[745] + v_[46] * v_[617] + v_[743] * v_[625] + v_[743] * v_[625] - v_[333] * x_in[31];
+ v_[53] = v_[416] + v_[53];
+ v_[416] = 0.0303559704 + v_[282] * -0.5824264 + (0 - v_[105]) * -0.123672 + (0 - v_[175]) * 3.6e-05;
+ v_[46] = v_[105] * 0.022734;
+ v_[122] = 0.1205622648 - v_[46];
+ jac[884] = jac[902] + v_[287] * v_[181] + v_[289] * v_[184] + v_[283] * 0.47422804 + v_[284] * -0.0825825 + v_[285] * 0.089871 + v_[328] * 2.1e-05 + v_[330] * -0.000102;
+ v_[612] = v_[290] * v_[176] + v_[291] * v_[178] + jac[884] * -1 - 0.0303559704 + v_[282] * -0.5824264 + v_[105] * 0.144171 + v_[175] * 3.6e-05;
+ v_[122] = v_[574] * v_[236] + v_[743] * v_[29] + v_[53] * v_[710] + v_[220] * v_[72] + v_[416] * v_[317] + v_[592] * v_[746] + v_[122] * v_[506] + v_[122] * v_[506] - v_[612] * x_in[30];
+ jac[218] = 0 - (0 - (v_[335] * v_[89] + v_[299] * x_in[22]) + (v_[56] + v_[299] * x_in[20]) * 0.3735 - (v_[336] * v_[149] + v_[43] * x_in[23]) + v_[43] * x_in[19] * -0.3735 + v_[43] * x_in[18] * -0.207 - (v_[678] + v_[483] * x_in[19] + v_[122] * x_in[20])) * v_[590] + (v_[519] + v_[335] * v_[149] + v_[299] * x_in[23] + v_[483] * x_in[20] + v_[299] * x_in[19] * 0.3735 + v_[299] * x_in[18] * 0.207 - (v_[336] * v_[89] + v_[43] * x_in[22]) + (v_[297] + v_[43] * x_in[20]) * 0.3735 - v_[122] * x_in[19]) * v_[597];
+ v_[678] = v_[368] * 0.881;
+ v_[519] = v_[366] * -0.881;
+ v_[592] = v_[678] * v_[653] + v_[519] * v_[514];
+ v_[220] = v_[365] * 3.146;
+ v_[294] = v_[364] * -3.146;
+ v_[727] = v_[592] + v_[220] * v_[617] + v_[294] * v_[625];
+ v_[560] = v_[727] * -1 + -3.44 * v_[506] + v_[388] * x_in[30];
+ v_[569] = 0 - v_[678];
+ v_[726] = v_[569] * v_[734] + v_[369] * x_in[32];
+ v_[300] = 0 - v_[519];
+ v_[298] = v_[300] * v_[734] - v_[367] * x_in[32];
+ v_[182] = 0 - v_[220];
+ v_[192] = v_[726] * v_[28] + v_[298] * v_[31] + v_[182] * v_[745] + v_[371] * x_in[31];
+ v_[254] = 0 - v_[294];
+ v_[417] = v_[726] * v_[32] + v_[298] * v_[28] + v_[254] * v_[745] - v_[370] * x_in[31];
+ v_[599] = v_[192] * v_[26] + v_[417] * v_[29] + 3.44 * v_[746];
+ v_[259] = (0 - v_[366]) * -0.000881;
+ v_[286] = (0 - v_[368]) * 0.110125;
+ v_[521] = v_[259] + v_[286];
+ v_[521] = v_[569] * v_[375] + v_[300] * v_[421] + v_[521] * v_[734] + v_[521] * v_[734];
+ jac[579] = v_[367] * v_[419] + v_[369] * v_[375] + v_[521];
+ v_[300] = (0 - v_[364]) * 0.0825825;
+ v_[569] = (0 - v_[365]) * 0.47422804;
+ v_[48] = v_[300] + v_[569];
+ v_[48] = v_[521] + v_[726] * v_[181] + v_[298] * v_[184] + v_[182] * v_[697] + v_[254] * v_[481] + v_[48] * v_[745] + v_[48] * v_[745];
+ jac[561] = v_[370] * v_[479] + v_[371] * v_[697] + v_[48];
+ v_[48] = v_[192] * v_[176] + v_[417] * v_[178] + v_[48] * -1 + 3.44 * v_[384] + -0.5824264 * v_[746] + -0.5824264 * v_[746];
+ v_[368] = v_[366] * 0.110125 + v_[368] * -0.000881;
+ v_[286] = v_[678] * v_[374] + v_[368] * v_[514] + v_[286] * v_[653] + v_[286] * v_[653];
+ v_[368] = v_[519] * v_[374] + v_[368] * v_[653] + v_[259] * v_[514] + v_[259] * v_[514];
+ v_[259] = v_[364] * 0.47422804 + v_[365] * 0.0825825;
+ v_[569] = v_[592] * -0.35 + v_[286] * v_[28] + v_[368] * v_[31] + v_[220] * v_[418] + v_[259] * v_[625] + v_[569] * v_[617] + v_[569] * v_[617];
+ v_[259] = v_[286] * v_[111] + v_[368] * v_[28] + v_[294] * v_[418] + v_[259] * v_[617] + v_[300] * v_[625] + v_[300] * v_[625];
+ jac[885] = jac[903] + v_[367] * v_[181] + v_[369] * v_[184] + v_[364] * 0.47422804 + v_[365] * -0.0825825;
+ v_[300] = v_[370] * v_[176] + v_[371] * v_[178] + jac[885] * -1 + 0.1466472;
+ v_[294] = v_[569] * v_[236] + v_[259] * v_[29] + -3.44 * v_[72] + -0.1466472 * v_[317] + -0.5824264 * v_[506] + -0.5824264 * v_[506] - v_[300] * x_in[30];
+ jac[219] = 0 - (0 - v_[560] * x_in[22] + v_[560] * x_in[20] * 0.3735 - (v_[388] * v_[149] + v_[599] * x_in[23]) + v_[599] * x_in[19] * -0.3735 + v_[599] * x_in[18] * -0.207 - (v_[48] * x_in[19] + v_[294] * x_in[20])) * v_[590] + (v_[560] * x_in[23] + v_[48] * x_in[20] + v_[560] * x_in[19] * 0.3735 + v_[560] * x_in[18] * 0.207 - (v_[388] * v_[89] + v_[599] * x_in[22]) + v_[599] * x_in[20] * 0.3735 - v_[294] * x_in[19]) * v_[597];
+ v_[220] = v_[412] * 0.881;
+ v_[592] = v_[410] * -0.881;
+ v_[519] = v_[220] * v_[653] + v_[592] * v_[514];
+ v_[678] = v_[409] * 3.146;
+ v_[366] = v_[408] * -3.146;
+ v_[521] = v_[519] + v_[678] * v_[617] + v_[366] * v_[625];
+ v_[254] = v_[144] * 3.44;
+ v_[182] = 0 - v_[254];
+ v_[57] = v_[521] * -1 + v_[182] * v_[317] + v_[441] * x_in[30];
+ v_[329] = 0 - v_[220];
+ v_[482] = v_[437] * 0.881;
+ v_[345] = v_[329] * v_[734] + v_[482] * v_[514] + v_[413] * x_in[32];
+ v_[442] = 0 - v_[592];
+ v_[423] = 0 - v_[482];
+ v_[422] = v_[442] * v_[734] + v_[423] * v_[653] - v_[411] * x_in[32];
+ v_[491] = 0 - v_[678];
+ v_[131] = v_[437] * 3.146;
+ v_[377] = v_[345] * v_[28] + v_[422] * v_[31] + v_[491] * v_[745] + v_[131] * v_[625] + v_[415] * x_in[31];
+ v_[376] = 0 - v_[366];
+ v_[582] = 0 - v_[131];
+ v_[339] = v_[345] * v_[32] + v_[422] * v_[28] + v_[376] * v_[745] + v_[582] * v_[617] - v_[414] * x_in[31];
+ v_[305] = v_[143] * -3.44;
+ v_[304] = 0 - v_[305];
+ v_[630] = v_[377] * v_[26] + v_[339] * v_[29] + v_[304] * v_[317] - v_[440] * x_in[30];
+ v_[248] = v_[437] * -0.000881;
+ v_[204] = v_[437] * 0.110125;
+ v_[203] = (0 - v_[410]) * -0.000881;
+ v_[121] = (0 - v_[412]) * 0.110125;
+ v_[123] = v_[203] + v_[121];
+ v_[123] = v_[329] * v_[375] + v_[442] * v_[421] + v_[248] * v_[653] + v_[204] * v_[514] + v_[123] * v_[734] + v_[123] * v_[734];
+ v_[442] = v_[437] * 0.0825825;
+ v_[329] = v_[437] * 0.47422804;
+ v_[60] = (0 - v_[408]) * 0.0825825;
+ v_[58] = (0 - v_[409]) * 0.47422804;
+ v_[190] = v_[60] + v_[58];
+ v_[190] = v_[123] + v_[345] * v_[181] + v_[422] * v_[184] + v_[491] * v_[697] + v_[376] * v_[481] + v_[442] * v_[617] + v_[329] * v_[625] + v_[190] * v_[745] + v_[190] * v_[745];
+ v_[376] = v_[143] * -0.5824264;
+ v_[491] = v_[143] * 0.1466472;
+ v_[44] = (0 - v_[144]) * 0.1466472;
+ v_[140] = v_[437] * -0.110125;
+ v_[199] = v_[437] * -0.000881;
+ jac[580] = v_[411] * v_[419] + v_[413] * v_[375] + v_[140] * v_[33] + v_[199] * v_[653] + v_[123];
+ v_[438] = v_[438] * -0.35 + v_[140] * v_[28] + v_[199] * v_[31] + v_[437] * -0.47422804;
+ v_[437] = v_[140] * v_[111] + v_[199] * v_[28] + v_[437] * 0.0825825;
+ jac[562] = v_[414] * v_[479] + v_[415] * v_[697] + v_[438] * v_[293] + v_[437] * v_[617] + v_[190];
+ jac[868] = v_[439] * -0.08 + v_[438] * v_[29] + v_[437] * v_[25] + v_[143] * 0.1466472;
+ v_[439] = v_[438] * v_[236] + v_[437] * v_[29] + v_[143] * 0.5824264;
+ v_[190] = v_[377] * v_[176] + v_[339] * v_[178] + v_[190] * -1 + v_[254] * v_[710] + v_[376] * v_[317] + v_[491] * v_[506] + v_[44] * v_[746] + v_[44] * v_[746] + v_[439] * x_in[30];
+ v_[412] = v_[410] * 0.110125 + v_[412] * -0.000881;
+ v_[121] = v_[220] * v_[374] + v_[423] * v_[421] + v_[248] * v_[734] + v_[412] * v_[514] + v_[121] * v_[653] + v_[121] * v_[653] + v_[199] * x_in[32];
+ v_[412] = v_[592] * v_[374] + v_[482] * v_[375] + v_[204] * v_[734] + v_[412] * v_[653] + v_[203] * v_[514] + v_[203] * v_[514] - v_[140] * x_in[32];
+ v_[203] = v_[408] * 0.47422804 + v_[409] * 0.0825825;
+ v_[58] = v_[519] * -0.35 + v_[121] * v_[28] + v_[412] * v_[31] + v_[678] * v_[418] + v_[582] * v_[481] + v_[442] * v_[745] + v_[203] * v_[625] + v_[58] * v_[617] + v_[58] * v_[617] + v_[437] * x_in[31];
+ v_[203] = v_[121] * v_[111] + v_[412] * v_[28] + v_[366] * v_[418] + v_[131] * v_[697] + v_[329] * v_[745] + v_[203] * v_[617] + v_[60] * v_[625] + v_[60] * v_[625] - v_[438] * x_in[31];
+ v_[60] = v_[144] * -0.5824264;
+ jac[886] = jac[904] + v_[411] * v_[181] + v_[413] * v_[184] + v_[408] * 0.47422804 + v_[409] * -0.0825825;
+ v_[329] = v_[414] * v_[176] + v_[415] * v_[178] + jac[886] * -1 + v_[144] * -0.5824264;
+ v_[491] = v_[58] * v_[236] + v_[203] * v_[29] + v_[305] * v_[710] + v_[60] * v_[317] + v_[491] * v_[746] - v_[329] * x_in[30];
+ jac[220] = 0 - (0 - (v_[56] + v_[440] * v_[89] + v_[57] * x_in[22]) + v_[57] * x_in[20] * 0.3735 - (v_[441] * v_[149] + v_[630] * x_in[23]) + v_[630] * x_in[19] * -0.3735 + v_[630] * x_in[18] * -0.207 - (v_[190] * x_in[19] + v_[491] * x_in[20])) * v_[590] + (v_[440] * v_[149] + v_[57] * x_in[23] + v_[190] * x_in[20] + v_[57] * x_in[19] * 0.3735 + v_[57] * x_in[18] * 0.207 - (v_[297] + v_[441] * v_[89] + v_[630] * x_in[22]) + v_[630] * x_in[20] * 0.3735 - v_[491] * x_in[19]) * v_[597];
+ v_[131] = v_[472] * 0.881;
+ v_[366] = v_[470] * -0.881;
+ v_[442] = v_[131] * v_[653] + v_[366] * v_[514];
+ v_[582] = v_[469] * 3.146;
+ v_[678] = v_[468] * -3.146;
+ v_[519] = v_[442] + v_[582] * v_[617] + v_[678] * v_[625];
+ v_[204] = v_[118] * 3.44;
+ v_[482] = 0 - v_[204];
+ v_[592] = v_[519] * -1 + v_[482] * v_[317] + v_[501] * x_in[30];
+ v_[248] = 0 - v_[131];
+ v_[423] = v_[497] * 0.881;
+ v_[220] = v_[248] * v_[734] + v_[423] * v_[514] + v_[473] * x_in[32];
+ v_[410] = 0 - v_[366];
+ v_[123] = 0 - v_[423];
+ v_[193] = v_[410] * v_[734] + v_[123] * v_[653] - v_[471] * x_in[32];
+ v_[542] = 0 - v_[582];
+ v_[713] = v_[497] * 3.146;
+ v_[749] = v_[220] * v_[28] + v_[193] * v_[31] + v_[542] * v_[745] + v_[713] * v_[625] + v_[475] * x_in[31];
+ v_[750] = 0 - v_[678];
+ v_[751] = 0 - v_[713];
+ v_[752] = v_[220] * v_[32] + v_[193] * v_[28] + v_[750] * v_[745] + v_[751] * v_[617] - v_[474] * x_in[31];
+ v_[753] = v_[105] * -3.44;
+ v_[754] = 0 - v_[753];
+ v_[755] = v_[749] * v_[26] + v_[752] * v_[29] + v_[754] * v_[317] - v_[500] * x_in[30];
+ v_[756] = v_[497] * -0.000881;
+ v_[757] = v_[497] * 0.110125;
+ v_[758] = (0 - v_[470]) * -0.000881;
+ v_[759] = (0 - v_[472]) * 0.110125;
+ v_[760] = v_[758] + v_[759];
+ v_[760] = v_[248] * v_[375] + v_[410] * v_[421] + v_[756] * v_[653] + v_[757] * v_[514] + v_[760] * v_[734] + v_[760] * v_[734];
+ v_[410] = v_[497] * 0.0825825;
+ v_[248] = v_[497] * 0.47422804;
+ v_[761] = (0 - v_[468]) * 0.0825825;
+ v_[762] = (0 - v_[469]) * 0.47422804;
+ v_[763] = v_[761] + v_[762];
+ v_[763] = v_[760] + v_[220] * v_[181] + v_[193] * v_[184] + v_[542] * v_[697] + v_[750] * v_[481] + v_[410] * v_[617] + v_[248] * v_[625] + v_[763] * v_[745] + v_[763] * v_[745];
+ v_[750] = v_[105] * -0.5824264;
+ v_[542] = v_[105] * 0.1466472;
+ v_[764] = (0 - v_[118]) * 0.1466472;
+ v_[765] = v_[497] * -0.110125;
+ v_[766] = v_[497] * -0.000881;
+ jac[581] = v_[471] * v_[419] + v_[473] * v_[375] + v_[765] * v_[33] + v_[766] * v_[653] + v_[760];
+ v_[498] = v_[498] * -0.35 + v_[765] * v_[28] + v_[766] * v_[31] + v_[497] * -0.47422804;
+ v_[497] = v_[765] * v_[111] + v_[766] * v_[28] + v_[497] * 0.0825825;
+ jac[563] = v_[474] * v_[479] + v_[475] * v_[697] + v_[498] * v_[293] + v_[497] * v_[617] + v_[763];
+ jac[869] = v_[499] * -0.08 + v_[498] * v_[29] + v_[497] * v_[25] + v_[105] * 0.1466472;
+ v_[499] = v_[498] * v_[236] + v_[497] * v_[29] + v_[105] * 0.5824264;
+ v_[763] = v_[749] * v_[176] + v_[752] * v_[178] + v_[763] * -1 + v_[204] * v_[710] + v_[750] * v_[317] + v_[542] * v_[506] + v_[764] * v_[746] + v_[764] * v_[746] + v_[499] * x_in[30];
+ v_[472] = v_[470] * 0.110125 + v_[472] * -0.000881;
+ v_[759] = v_[131] * v_[374] + v_[123] * v_[421] + v_[756] * v_[734] + v_[472] * v_[514] + v_[759] * v_[653] + v_[759] * v_[653] + v_[766] * x_in[32];
+ v_[472] = v_[366] * v_[374] + v_[423] * v_[375] + v_[757] * v_[734] + v_[472] * v_[653] + v_[758] * v_[514] + v_[758] * v_[514] - v_[765] * x_in[32];
+ v_[758] = v_[468] * 0.47422804 + v_[469] * 0.0825825;
+ v_[762] = v_[442] * -0.35 + v_[759] * v_[28] + v_[472] * v_[31] + v_[582] * v_[418] + v_[751] * v_[481] + v_[410] * v_[745] + v_[758] * v_[625] + v_[762] * v_[617] + v_[762] * v_[617] + v_[497] * x_in[31];
+ v_[758] = v_[759] * v_[111] + v_[472] * v_[28] + v_[678] * v_[418] + v_[713] * v_[697] + v_[248] * v_[745] + v_[758] * v_[617] + v_[761] * v_[625] + v_[761] * v_[625] - v_[498] * x_in[31];
+ v_[761] = v_[118] * -0.5824264;
+ jac[887] = jac[905] + v_[471] * v_[181] + v_[473] * v_[184] + v_[468] * 0.47422804 + v_[469] * -0.0825825;
+ v_[248] = v_[474] * v_[176] + v_[475] * v_[178] + jac[887] * -1 + v_[118] * -0.5824264;
+ v_[542] = v_[762] * v_[236] + v_[758] * v_[29] + v_[753] * v_[710] + v_[761] * v_[317] + v_[542] * v_[746] - v_[248] * x_in[30];
+ jac[221] = 0 - (0 - (v_[500] * v_[89] + v_[592] * x_in[22]) + v_[592] * x_in[20] * 0.3735 - (v_[297] + v_[501] * v_[149] + v_[755] * x_in[23]) + v_[755] * x_in[19] * -0.3735 + v_[755] * x_in[18] * -0.207 - (v_[763] * x_in[19] + v_[542] * x_in[20])) * v_[590] + (v_[56] + v_[500] * v_[149] + v_[592] * x_in[23] + v_[763] * x_in[20] + v_[592] * x_in[19] * 0.3735 + v_[592] * x_in[18] * 0.207 - (v_[501] * v_[89] + v_[755] * x_in[22]) + v_[755] * x_in[20] * 0.3735 - v_[542] * x_in[19]) * v_[597];
+ v_[56] = v_[618] * 0.881 + (0 - v_[619]) * 0.110125 + v_[620] * -0.000881;
+ v_[297] = v_[56] * v_[514];
+ v_[713] = 0 - v_[56];
+ v_[678] = v_[713] * v_[653];
+ v_[410] = -0.25168 + (0 - v_[29]) * 0.47422804 + v_[25] * 0.0825825;
+ v_[751] = v_[297] * v_[28] + v_[678] * v_[31] + v_[410] * v_[625];
+ v_[582] = 0 - v_[410];
+ v_[442] = v_[297] * v_[32] + v_[678] * v_[28] + v_[582] * v_[617];
+ v_[757] = v_[751] * v_[26] + v_[442] * v_[29] + 0.1466472 * v_[317] - v_[623] * x_in[30];
+ jac[408] = v_[757] * v_[144];
+ jac[426] = v_[757] * v_[118];
+ v_[423] = v_[618] * -0.000881 + v_[620] * -0.000227999999999999;
+ v_[366] = v_[618] * 0.110125 + (0 - v_[619]) * 0.025713;
+ v_[756] = v_[423] * v_[653] + v_[366] * v_[514];
+ v_[123] = -0.0066066 + v_[29] * -0.007418 + v_[25] * 0.002735;
+ v_[131] = -0.0379382432 + (0 - v_[29]) * 0.084376 + (0 - v_[25]) * -0.007418;
+ v_[470] = v_[29] * -0.000102;
+ v_[760] = (0 - v_[25]) * 2.1e-05;
+ v_[767] = v_[470] + v_[760];
+ v_[767] = v_[756] + v_[297] * v_[181] + v_[678] * v_[184] + v_[123] * v_[617] + v_[131] * v_[625] + v_[767] * v_[745] + v_[767] * v_[745];
+ v_[619] = v_[618] * -0.110125 + v_[619] * 0.026409;
+ v_[620] = v_[618] * -0.000881 + v_[620] * 0.000468;
+ jac[588] = v_[619] * v_[33] + v_[620] * v_[653] + v_[756];
+ v_[621] = v_[621] * -0.35 + v_[619] * v_[28] + v_[620] * v_[31] + 0.0379382432 + v_[29] * 0.087136 + v_[25] * -0.007418;
+ v_[756] = v_[619] * v_[111] + v_[620] * v_[28] - 0.0066066 + v_[29] * -0.007418 + v_[25] * 0.005495;
+ jac[570] = v_[621] * v_[293] + v_[756] * v_[617] + v_[767];
+ jac[876] = v_[622] * -0.08 + v_[621] * v_[29] + v_[756] * v_[25] + 0.011033;
+ v_[622] = v_[621] * v_[236] + v_[756] * v_[29] + 0.022734;
+ v_[767] = v_[751] * v_[176] + v_[442] * v_[178] + v_[767] * -1 + -0.022734 * v_[317] + 0.009466 * v_[506] + -3.6e-05 * v_[746] + -3.6e-05 * v_[746] + v_[622] * x_in[30];
+ v_[423] = v_[713] * v_[421] + v_[423] * v_[734] + v_[620] * x_in[32];
+ v_[366] = v_[56] * v_[375] + v_[366] * v_[734] - v_[619] * x_in[32];
+ v_[56] = (0 - v_[29]) * 2.1e-05 + v_[25] * -0.000102;
+ v_[760] = 0 - v_[760];
+ v_[760] = v_[423] * v_[28] + v_[366] * v_[31] + v_[582] * v_[481] + v_[123] * v_[745] + v_[56] * v_[625] + v_[760] * v_[617] + v_[760] * v_[617] + v_[756] * x_in[31];
+ v_[470] = 0 - v_[470];
+ v_[470] = v_[423] * v_[111] + v_[366] * v_[28] + v_[410] * v_[697] + v_[131] * v_[745] + v_[56] * v_[617] + v_[470] * v_[625] + v_[470] * v_[625] - v_[621] * x_in[31];
+ v_[56] = jac[894] * -1 - 5.1e-05;
+ v_[131] = v_[760] * v_[236] + v_[470] * v_[29] + -0.1466472 * v_[710] + -5.1e-05 * v_[317] + 0.009466 * v_[746] + 3.6e-05 * v_[506] + 3.6e-05 * v_[506] - v_[56] * x_in[30];
+ jac[228] = 0 - (0 - v_[623] * v_[89] - v_[757] * x_in[23] + v_[757] * x_in[19] * -0.3735 + v_[757] * x_in[18] * -0.207 - (v_[767] * x_in[19] + v_[131] * x_in[20])) * v_[590] + (v_[623] * v_[149] + v_[767] * x_in[20] - v_[757] * x_in[22] + v_[757] * x_in[20] * 0.3735 - v_[131] * x_in[19]) * v_[597];
+ jac[354] = v_[757] * v_[174] + v_[767] * v_[175] + v_[131] * v_[235];
+ v_[410] = v_[184] * 0.881 + 0.000881;
+ v_[123] = v_[181] * -0.881;
+ v_[582] = v_[123] - 0.110125;
+ v_[713] = v_[410] * v_[653] + v_[582] * v_[514];
+ v_[33] = v_[713] + -0.0825825 * v_[617] + -0.47422804 * v_[625];
+ v_[618] = v_[33] * -1 + v_[639] * x_in[30];
+ v_[768] = 0 - v_[410];
+ v_[769] = v_[768] * v_[734] + v_[635] * x_in[32];
+ v_[123] = 0 - v_[123] + 0.110125;
+ v_[770] = v_[123] * v_[734] - v_[634] * x_in[32];
+ v_[771] = v_[769] * v_[28] + v_[770] * v_[31] + 0.0825825 * v_[745] + v_[637] * x_in[31];
+ v_[772] = v_[769] * v_[32] + v_[770] * v_[28] + 0.47422804 * v_[745] - v_[636] * x_in[31];
+ v_[773] = v_[771] * v_[26] + v_[772] * v_[29];
+ jac[409] = v_[618] * v_[143] + v_[773] * v_[144];
+ jac[427] = v_[618] * v_[105] + v_[773] * v_[118];
+ v_[774] = (0 - v_[181]) * -0.000881;
+ v_[775] = (0 - v_[184]) * 0.110125;
+ v_[776] = v_[774] + v_[775];
+ v_[776] = v_[768] * v_[375] + v_[123] * v_[421] + v_[776] * v_[734] + v_[776] * v_[734];
+ jac[589] = v_[634] * v_[419] + v_[635] * v_[375] + v_[776];
+ v_[776] = v_[776] + v_[769] * v_[181] + v_[770] * v_[184] + 0.0825825 * v_[697] + 0.47422804 * v_[481] + 0.000102 * v_[617] + 2.1e-05 * v_[625];
+ jac[571] = v_[636] * v_[479] + v_[637] * v_[697] + 2.1e-05 * v_[293] + -0.000102 * v_[617] + v_[776];
+ v_[293] = 2.1e-05 * v_[236] + -0.000102 * v_[29];
+ v_[776] = v_[771] * v_[176] + v_[772] * v_[178] + v_[776] * -1 + v_[293] * x_in[30];
+ v_[123] = v_[181] * 0.110125 + v_[184] * -0.000881 + 0.025941;
+ v_[775] = v_[410] * v_[374] + v_[123] * v_[514] + v_[775] * v_[653] + v_[775] * v_[653];
+ v_[123] = v_[582] * v_[374] + v_[123] * v_[653] + v_[774] * v_[514] + v_[774] * v_[514];
+ v_[713] = v_[713] * -0.35 + v_[775] * v_[28] + v_[123] * v_[31] + -0.0825825 * v_[418] + 0.000102 * v_[745] + 0.081641 * v_[625] + 0.007418 * v_[617] + 0.007418 * v_[617] + -0.000102 * x_in[31];
+ v_[418] = v_[775] * v_[111] + v_[123] * v_[28] + -0.47422804 * v_[418] + 2.1e-05 * v_[745] + 0.081641 * v_[617] + -0.007418 * v_[625] + -0.007418 * v_[625] - 2.1e-05 * x_in[31];
+ jac[895] = jac[913] + v_[634] * v_[181] + v_[635] * v_[184] + 0.089871;
+ v_[774] = v_[636] * v_[176] + v_[637] * v_[178] + jac[895] * -1;
+ v_[582] = v_[713] * v_[236] + v_[418] * v_[29] - v_[774] * x_in[30];
+ jac[229] = 0 - (0 - v_[618] * x_in[22] + v_[618] * x_in[20] * 0.3735 - (v_[639] * v_[149] + v_[773] * x_in[23]) + v_[773] * x_in[19] * -0.3735 + v_[773] * x_in[18] * -0.207 - (v_[776] * x_in[19] + v_[582] * x_in[20])) * v_[590] + (v_[618] * x_in[23] + v_[776] * x_in[20] + v_[618] * x_in[19] * 0.3735 + v_[618] * x_in[18] * 0.207 - (v_[639] * v_[89] + v_[773] * x_in[22]) + v_[773] * x_in[20] * 0.3735 - v_[582] * x_in[19]) * v_[597];
+ jac[355] = v_[618] * v_[233] + v_[773] * v_[174] + v_[776] * v_[175] + v_[582] * v_[235];
+ v_[410] = 0.000881 * v_[653] + -0.110125 * v_[514];
+ v_[768] = v_[410] * -1 + v_[652] * x_in[30];
+ v_[777] = -0.000881 * v_[734] + 0.000881 * x_in[32];
+ v_[734] = 0.110125 * v_[734] - 0.110125 * x_in[32];
+ v_[778] = v_[777] * v_[28] + v_[734] * v_[31] + v_[650] * x_in[31];
+ v_[32] = v_[777] * v_[32] + v_[734] * v_[28] - v_[649] * x_in[31];
+ v_[26] = v_[778] * v_[26] + v_[32] * v_[29];
+ jac[410] = v_[768] * v_[143] + v_[26] * v_[144];
+ jac[428] = v_[768] * v_[105] + v_[26] * v_[118];
+ v_[421] = -0.000881 * v_[375] + 0.110125 * v_[421];
+ jac[590] = 0.110125 * v_[419] + 0.000881 * v_[375] + v_[421];
+ v_[421] = v_[421] + v_[777] * v_[181] + v_[734] * v_[184];
+ jac[572] = v_[649] * v_[479] + v_[650] * v_[697] + v_[421];
+ v_[421] = v_[778] * v_[176] + v_[32] * v_[178] + v_[421] * -1;
+ v_[514] = 0.000881 * v_[374] + 0.025941 * v_[514];
+ v_[374] = -0.110125 * v_[374] + 0.025941 * v_[653];
+ v_[31] = v_[410] * -0.35 + v_[514] * v_[28] + v_[374] * v_[31];
+ v_[111] = v_[514] * v_[111] + v_[374] * v_[28];
+ v_[178] = v_[649] * v_[176] + v_[650] * v_[178] + jac[896] * -1;
+ v_[236] = v_[31] * v_[236] + v_[111] * v_[29] - v_[178] * x_in[30];
+ jac[230] = 0 - (0 - v_[768] * x_in[22] + v_[768] * x_in[20] * 0.3735 - (v_[652] * v_[149] + v_[26] * x_in[23]) + v_[26] * x_in[19] * -0.3735 + v_[26] * x_in[18] * -0.207 - (v_[421] * x_in[19] + v_[236] * x_in[20])) * v_[590] + (v_[768] * x_in[23] + v_[421] * x_in[20] + v_[768] * x_in[19] * 0.3735 + v_[768] * x_in[18] * 0.207 - (v_[652] * v_[89] + v_[26] * x_in[22]) + v_[26] * x_in[20] * 0.3735 - v_[236] * x_in[19]) * v_[597];
+ jac[356] = v_[768] * v_[233] + v_[26] * v_[174] + v_[421] * v_[175] + v_[236] * v_[235];
+ v_[597] = sin(x_in[13]);
+ v_[590] = cos(x_in[13]);
+ jac[234] = 0 - (v_[24] * v_[303] + -1 * v_[52] + v_[37] * v_[318] + v_[38] * v_[572] + v_[114] * x_in[48] + v_[107] * v_[600] + v_[576] * v_[710] + v_[571] * v_[384] + v_[202] * v_[317] + v_[69] * v_[506] + (v_[37] * v_[478] + v_[576] * v_[746]) * -0.08) * v_[597] + (-1 * v_[541] + v_[38] * v_[318] + v_[107] * x_in[48] + v_[571] * v_[710] + v_[69] * v_[317] - (v_[24] * v_[302] + v_[37] * v_[572] + v_[576] * v_[384]) + (v_[38] * v_[478] + v_[571] * v_[746]) * -0.08 - (v_[114] * v_[600] + v_[202] * v_[506])) * v_[590];
+ jac[235] = 0 - (v_[174] * v_[303] + v_[235] * v_[541] + v_[187] * v_[318] + v_[188] * v_[572] + v_[242] * x_in[48] + v_[234] * v_[600] + v_[577] * v_[710] + v_[735] * v_[384] + v_[343] * v_[317] + v_[373] * v_[506] + (v_[175] * v_[302] + v_[187] * v_[478] + v_[577] * v_[746]) * -0.08) * v_[597] + (v_[188] * v_[318] + v_[234] * x_in[48] + v_[735] * v_[710] + v_[373] * v_[317] - (v_[174] * v_[302] + v_[187] * v_[572] + v_[577] * v_[384]) + (v_[175] * v_[303] + v_[188] * v_[478] + v_[735] * v_[746]) * -0.08 - (v_[235] * v_[52] + v_[242] * v_[600] + v_[343] * v_[506])) * v_[590];
+ jac[236] = 0 - (0.207 * v_[302] + v_[282] * v_[303] + v_[175] * v_[541] + v_[290] * v_[318] + v_[291] * v_[572] + v_[333] * x_in[48] + v_[327] * v_[600] + v_[429] * v_[710] + v_[212] * v_[384] + v_[574] * v_[317] + v_[743] * v_[506] + (v_[105] * v_[302] + v_[290] * v_[478] + v_[429] * v_[746]) * -0.08) * v_[597] + (0.207 * v_[303] + v_[291] * v_[318] + v_[327] * x_in[48] + v_[212] * v_[710] + v_[743] * v_[317] - (v_[282] * v_[302] + v_[290] * v_[572] + v_[429] * v_[384]) + (v_[105] * v_[303] + v_[291] * v_[478] + v_[212] * v_[746]) * -0.08 - (v_[175] * v_[52] + v_[333] * v_[600] + v_[574] * v_[506])) * v_[590];
+ jac[237] = 0 - (-1 * v_[302] + v_[370] * v_[318] + v_[371] * v_[572] + v_[192] * v_[710] + v_[417] * v_[384] + v_[569] * v_[317] + v_[259] * v_[506] + (v_[370] * v_[478] + v_[192] * v_[746]) * -0.08) * v_[597] + (-1 * v_[303] + v_[371] * v_[318] + v_[417] * v_[710] + v_[259] * v_[317] - (v_[370] * v_[572] + v_[192] * v_[384]) + (v_[371] * v_[478] + v_[417] * v_[746]) * -0.08 - v_[569] * v_[506]) * v_[590];
+ jac[238] = 0 - (v_[144] * v_[303] + v_[414] * v_[318] + v_[415] * v_[572] + v_[438] * x_in[48] + v_[437] * v_[600] + v_[377] * v_[710] + v_[339] * v_[384] + v_[58] * v_[317] + v_[203] * v_[506] + (v_[414] * v_[478] + v_[377] * v_[746]) * -0.08) * v_[597] + (v_[415] * v_[318] + v_[437] * x_in[48] + v_[339] * v_[710] + v_[203] * v_[317] - (v_[144] * v_[302] + v_[414] * v_[572] + v_[377] * v_[384]) + (v_[415] * v_[478] + v_[339] * v_[746]) * -0.08 - (v_[438] * v_[600] + v_[58] * v_[506])) * v_[590];
+ jac[239] = 0 - (v_[118] * v_[303] + v_[474] * v_[318] + v_[475] * v_[572] + v_[498] * x_in[48] + v_[497] * v_[600] + v_[749] * v_[710] + v_[752] * v_[384] + v_[762] * v_[317] + v_[758] * v_[506] + (v_[474] * v_[478] + v_[749] * v_[746]) * -0.08) * v_[597] + (v_[475] * v_[318] + v_[497] * x_in[48] + v_[752] * v_[710] + v_[758] * v_[317] - (v_[118] * v_[302] + v_[474] * v_[572] + v_[749] * v_[384]) + (v_[475] * v_[478] + v_[752] * v_[746]) * -0.08 - (v_[498] * v_[600] + v_[762] * v_[506])) * v_[590];
+ jac[246] = 0 - (v_[52] + v_[621] * x_in[48] + v_[756] * v_[600] + v_[751] * v_[710] + v_[442] * v_[384] + v_[760] * v_[317] + v_[470] * v_[506] + v_[751] * v_[746] * -0.08) * v_[597] + (v_[541] + v_[756] * x_in[48] + v_[442] * v_[710] + v_[470] * v_[317] - v_[751] * v_[384] + v_[442] * v_[746] * -0.08 - (v_[621] * v_[600] + v_[760] * v_[506])) * v_[590];
+ jac[247] = 0 - (v_[636] * v_[318] + v_[637] * v_[572] + 2.1e-05 * x_in[48] + -0.000102 * v_[600] + v_[771] * v_[710] + v_[772] * v_[384] + v_[713] * v_[317] + v_[418] * v_[506] + (v_[636] * v_[478] + v_[771] * v_[746]) * -0.08) * v_[597] + (v_[637] * v_[318] + -0.000102 * x_in[48] + v_[772] * v_[710] + v_[418] * v_[317] - (v_[636] * v_[572] + v_[771] * v_[384]) + (v_[637] * v_[478] + v_[772] * v_[746]) * -0.08 - (2.1e-05 * v_[600] + v_[713] * v_[506])) * v_[590];
+ jac[248] = 0 - (v_[649] * v_[318] + v_[650] * v_[572] + v_[778] * v_[710] + v_[32] * v_[384] + v_[31] * v_[317] + v_[111] * v_[506] + (v_[649] * v_[478] + v_[778] * v_[746]) * -0.08) * v_[597] + (v_[650] * v_[318] + v_[32] * v_[710] + v_[111] * v_[317] - (v_[649] * v_[572] + v_[778] * v_[384]) + (v_[650] * v_[478] + v_[32] * v_[746]) * -0.08 - v_[31] * v_[506]) * v_[590];
+ v_[590] = sin(x_in[14]);
+ v_[597] = cos(x_in[14]);
+ jac[252] = 0 - (v_[27] * v_[75] + v_[30] * v_[527] + v_[108] * v_[191] + v_[110] * v_[520] + v_[34] * v_[477] + v_[36] * v_[430] + v_[112] * v_[198] + v_[113] * v_[307] + v_[308] * v_[697] + v_[660] * v_[481] + v_[148] * v_[617] + v_[35] * v_[625] + (v_[34] * v_[476] + v_[308] * v_[745]) * 0.35) * v_[590] + (v_[27] * v_[527] + v_[108] * v_[520] + v_[36] * v_[477] + v_[113] * v_[198] + v_[660] * v_[697] + v_[35] * v_[617] - (v_[30] * v_[75] + v_[34] * v_[430] + v_[308] * v_[481]) + (v_[36] * v_[476] + v_[660] * v_[745]) * 0.35 - (v_[110] * v_[191] + v_[112] * v_[307] + v_[148] * v_[625])) * v_[597];
+ jac[253] = 0 - (v_[177] * v_[75] + v_[179] * v_[527] + v_[237] * v_[191] + v_[239] * v_[520] + v_[183] * v_[477] + v_[186] * v_[430] + v_[240] * v_[198] + v_[241] * v_[307] + v_[378] * v_[697] + v_[593] * v_[481] + v_[194] * v_[617] + v_[185] * v_[625] + (v_[180] * v_[75] + v_[183] * v_[476] + v_[378] * v_[745]) * 0.35) * v_[590] + (v_[177] * v_[527] + v_[237] * v_[520] + v_[186] * v_[477] + v_[241] * v_[198] + v_[593] * v_[697] + v_[185] * v_[617] - (v_[179] * v_[75] + v_[183] * v_[430] + v_[378] * v_[481]) + (v_[180] * v_[527] + v_[186] * v_[476] + v_[593] * v_[745]) * 0.35 - (v_[239] * v_[191] + v_[240] * v_[307] + v_[194] * v_[625])) * v_[597];
+ jac[254] = 0 - (v_[283] * v_[75] + v_[284] * v_[527] + v_[328] * v_[191] + v_[330] * v_[520] + v_[287] * v_[477] + v_[289] * v_[430] + v_[331] * v_[198] + v_[332] * v_[307] + v_[109] * v_[697] + v_[197] * v_[481] + v_[338] * v_[617] + v_[288] * v_[625] + (v_[285] * v_[75] + v_[287] * v_[476] + v_[109] * v_[745]) * 0.35) * v_[590] + (v_[283] * v_[527] + v_[328] * v_[520] + v_[289] * v_[477] + v_[332] * v_[198] + v_[197] * v_[697] + v_[288] * v_[617] - (v_[284] * v_[75] + v_[287] * v_[430] + v_[109] * v_[481]) + (v_[285] * v_[527] + v_[289] * v_[476] + v_[197] * v_[745]) * 0.35 - (v_[330] * v_[191] + v_[331] * v_[307] + v_[338] * v_[625])) * v_[597];
+ jac[255] = 0 - (v_[364] * v_[75] + v_[365] * v_[527] + v_[367] * v_[477] + v_[369] * v_[430] + v_[726] * v_[697] + v_[298] * v_[481] + v_[286] * v_[617] + v_[368] * v_[625] + (v_[367] * v_[476] + v_[726] * v_[745]) * 0.35) * v_[590] + (v_[364] * v_[527] + v_[369] * v_[477] + v_[298] * v_[697] + v_[368] * v_[617] - (v_[365] * v_[75] + v_[367] * v_[430] + v_[726] * v_[481]) + (v_[369] * v_[476] + v_[298] * v_[745]) * 0.35 - v_[286] * v_[625]) * v_[597];
+ jac[256] = 0 - (v_[408] * v_[75] + v_[409] * v_[527] + v_[411] * v_[477] + v_[413] * v_[430] + v_[140] * v_[198] + v_[199] * v_[307] + v_[345] * v_[697] + v_[422] * v_[481] + v_[121] * v_[617] + v_[412] * v_[625] + (v_[411] * v_[476] + v_[345] * v_[745]) * 0.35) * v_[590] + (v_[408] * v_[527] + v_[413] * v_[477] + v_[199] * v_[198] + v_[422] * v_[697] + v_[412] * v_[617] - (v_[409] * v_[75] + v_[411] * v_[430] + v_[345] * v_[481]) + (v_[413] * v_[476] + v_[422] * v_[745]) * 0.35 - (v_[140] * v_[307] + v_[121] * v_[625])) * v_[597];
+ jac[257] = 0 - (v_[468] * v_[75] + v_[469] * v_[527] + v_[471] * v_[477] + v_[473] * v_[430] + v_[765] * v_[198] + v_[766] * v_[307] + v_[220] * v_[697] + v_[193] * v_[481] + v_[759] * v_[617] + v_[472] * v_[625] + (v_[471] * v_[476] + v_[220] * v_[745]) * 0.35) * v_[590] + (v_[468] * v_[527] + v_[473] * v_[477] + v_[766] * v_[198] + v_[193] * v_[697] + v_[472] * v_[617] - (v_[469] * v_[75] + v_[471] * v_[430] + v_[220] * v_[481]) + (v_[473] * v_[476] + v_[193] * v_[745]) * 0.35 - (v_[765] * v_[307] + v_[759] * v_[625])) * v_[597];
+ jac[264] = 0 - (v_[29] * v_[191] + v_[25] * v_[520] + v_[619] * v_[198] + v_[620] * v_[307] + v_[297] * v_[697] + v_[678] * v_[481] + v_[423] * v_[617] + v_[366] * v_[625] + v_[297] * v_[745] * 0.35) * v_[590] + (v_[29] * v_[520] + v_[620] * v_[198] + v_[678] * v_[697] + v_[366] * v_[617] - v_[297] * v_[481] + v_[678] * v_[745] * 0.35 - (v_[25] * v_[191] + v_[619] * v_[307] + v_[423] * v_[625])) * v_[597];
+ jac[265] = 0 - (v_[634] * v_[477] + v_[635] * v_[430] + v_[769] * v_[697] + v_[770] * v_[481] + v_[775] * v_[617] + v_[123] * v_[625] + (v_[75] + v_[634] * v_[476] + v_[769] * v_[745]) * 0.35) * v_[590] + (v_[635] * v_[477] + v_[770] * v_[697] + v_[123] * v_[617] - (v_[634] * v_[430] + v_[769] * v_[481]) + (v_[527] + v_[635] * v_[476] + v_[770] * v_[745]) * 0.35 - v_[775] * v_[625]) * v_[597];
+ jac[266] = 0 - (0.110125 * v_[477] + 0.000881 * v_[430] + v_[777] * v_[697] + v_[734] * v_[481] + v_[514] * v_[617] + v_[374] * v_[625] + (0.110125 * v_[476] + v_[777] * v_[745]) * 0.35) * v_[590] + (0.000881 * v_[477] + v_[734] * v_[697] + v_[374] * v_[617] - (0.110125 * v_[430] + v_[777] * v_[481]) + (0.000881 * v_[476] + v_[734] * v_[745]) * 0.35 - v_[514] * v_[625]) * v_[597];
+ v_[597] = v_[15] * 0.881 + v_[17] * 8.81e-05;
+ v_[590] = v_[96] * x_in[19] + v_[272] * x_in[20];
+ v_[374] = x_in[18] + x_in[33];
+ v_[514] = v_[6] * v_[590] + v_[12] * v_[374];
+ v_[734] = v_[12] * v_[590] + v_[11] * v_[374];
+ v_[777] = v_[16] * v_[514] + v_[5] * v_[734];
+ v_[430] = v_[10] * -0.881;
+ v_[697] = v_[13] * 8.81e-05;
+ v_[476] = v_[430] + v_[697];
+ v_[477] = v_[5] * v_[514] + v_[8] * v_[734];
+ v_[481] = v_[597] * v_[777] + v_[476] * v_[477];
+ v_[745] = v_[7] * 3.146;
+ v_[617] = v_[4] * -3.146;
+ v_[625] = v_[481] + v_[745] * v_[734] + v_[617] * v_[514];
+ v_[123] = v_[1] * 3.44;
+ v_[775] = 0 - v_[123];
+ v_[770] = v_[625] + v_[775] * v_[374] + v_[103] * x_in[33];
+ v_[769] = 0 - v_[597];
+ v_[527] = 0.207 * x_in[20] + x_in[21];
+ v_[75] = v_[268] * x_in[20] + v_[158] * x_in[19] + v_[1] * x_in[18] + v_[104] * x_in[23] + v_[96] * x_in[22];
+ v_[635] = v_[0] * x_in[19] + v_[96] * x_in[20];
+ v_[634] = v_[20] * v_[527] + v_[3] * v_[75] + v_[159] * v_[635];
+ v_[366] = v_[22] * v_[527] + v_[6] * v_[75] + v_[2] * v_[635];
+ v_[423] = v_[635] + x_in[34];
+ v_[620] = v_[5] * v_[634] + v_[9] * v_[366] + v_[162] * v_[423];
+ v_[697] = 0 - v_[430] - v_[697];
+ v_[430] = v_[8] * v_[634] + v_[5] * v_[366] + v_[168] * v_[423];
+ v_[619] = v_[99] * -0.0004405 + v_[10] * 8.81e-05 + v_[13] * -0.000227999999999999;
+ v_[678] = v_[99] * 0.1104774 + v_[15] * 8.81e-05 + (0 - v_[17]) * 0.025713;
+ v_[297] = (0 - v_[10]) * -0.0004405;
+ v_[520] = (0 - v_[15]) * 0.1104774;
+ v_[191] = v_[297] + v_[520];
+ v_[307] = v_[423] + x_in[35];
+ v_[191] = v_[769] * v_[620] + v_[697] * v_[430] + v_[619] * v_[777] + v_[678] * v_[477] + v_[191] * v_[307] + v_[191] * v_[307];
+ v_[198] = v_[99] * 0.881 + (0 - v_[17]) * 0.1104774 + v_[13] * -0.0004405;
+ v_[769] = v_[769] * v_[307] + v_[198] * v_[477] + v_[18] * x_in[35];
+ v_[472] = 0 - v_[198];
+ v_[697] = v_[697] * v_[307] + v_[472] * v_[777] - v_[14] * x_in[35];
+ v_[759] = 0 - v_[745];
+ v_[766] = 0 - v_[617];
+ v_[765] = v_[98] * 0.0825825 + v_[11] * -0.007418 + v_[12] * 0.002735;
+ v_[193] = v_[98] * 0.47422804 + (0 - v_[11]) * 0.084376 + (0 - v_[12]) * -0.007418;
+ v_[220] = (0 - v_[4]) * 0.0825825;
+ v_[473] = (0 - v_[7]) * 0.47422804;
+ v_[471] = v_[11] * -0.000102;
+ v_[469] = (0 - v_[12]) * 2.1e-05;
+ v_[468] = v_[220] + v_[473] + v_[471] + v_[469];
+ v_[468] = v_[191] + v_[769] * v_[162] + v_[697] * v_[168] + v_[759] * v_[634] + v_[766] * v_[366] + v_[765] * v_[734] + v_[193] * v_[514] + v_[468] * v_[423] + v_[468] * v_[423];
+ v_[412] = v_[98] * 3.146 + (0 - v_[11]) * 0.47422804 + v_[12] * 0.0825825;
+ v_[759] = v_[769] * v_[5] + v_[697] * v_[8] + v_[759] * v_[423] + v_[412] * v_[514] + v_[21] * x_in[34];
+ v_[121] = 0 - v_[412];
+ v_[766] = v_[769] * v_[9] + v_[697] * v_[5] + v_[766] * v_[423] + v_[121] * v_[734] - v_[19] * x_in[34];
+ v_[199] = v_[97] * 0.5824264 + 0.022734;
+ v_[140] = v_[97] * 0.1466472 + 0.009466;
+ v_[422] = (0 - v_[1]) * 0.1466472;
+ v_[345] = v_[422] + 3.6e-05;
+ v_[17] = v_[99] * -0.1104774 + v_[15] * 8.81e-05 + v_[17] * 0.026409;
+ v_[13] = v_[99] * -0.0004405 + v_[10] * -8.81e-05 + v_[13] * 0.000468;
+ v_[100] = v_[100] * -0.35 + v_[17] * v_[5] + v_[13] * v_[8] + v_[98] * -0.47422804 + v_[11] * 0.087136 + v_[12] * -0.007418;
+ v_[98] = v_[17] * v_[16] + v_[13] * v_[5] + v_[98] * 0.0825825 + v_[11] * -0.007418 + v_[12] * 0.005495;
+ jac[918] = v_[101] * 0.08 + v_[100] * v_[11] + v_[98] * v_[12] + v_[97] * 0.1466472 + 0.011033;
+ v_[101] = v_[100] * v_[12] + v_[98] * v_[6] + v_[97] * -0.5824264 - 0.022734;
+ v_[345] = v_[468] + v_[759] * v_[159] + v_[766] * v_[2] + v_[123] * v_[527] + v_[199] * v_[374] + v_[140] * v_[590] + v_[345] * v_[635] + v_[345] * v_[635] + v_[101] * x_in[33];
+ v_[413] = v_[97] * -3.44;
+ v_[411] = 0 - v_[413] + 0.1466472;
+ v_[409] = v_[759] * v_[3] + v_[766] * v_[6] + v_[411] * v_[374] - v_[102] * x_in[33];
+ jac[396] = -0.0053433 * x_in[18] + v_[770] * v_[0] + v_[409] * v_[96] + v_[748] * v_[143] + v_[511] * v_[144] + v_[153] * v_[39] + v_[651] * v_[119] + v_[690] * v_[145] + v_[643] * v_[146];
+ jac[414] = 2.0678571 * x_in[18] + v_[770] * v_[96] + v_[409] * v_[104] + v_[748] * v_[105] + v_[511] * v_[118] + v_[153] * v_[119] + v_[651] * v_[127] + v_[690] * v_[128] + v_[643] * v_[136];
+ v_[408] = v_[321] * x_in[20] + v_[227] * x_in[19] + v_[97] * x_in[18] + v_[96] * x_in[23] + v_[0] * x_in[22];
+ v_[368] = v_[104] * v_[149] + v_[96] * v_[89] + v_[408] * x_in[33];
+ v_[286] = 0 - v_[590];
+ v_[298] = v_[286] * x_in[33];
+ v_[726] = v_[635] * v_[527] - v_[374] * v_[408];
+ v_[369] = v_[590] * v_[374];
+ v_[367] = 0 - v_[366];
+ v_[365] = v_[20] * v_[150] + v_[3] * v_[368] + v_[159] * v_[298] + v_[367] * x_in[34];
+ v_[364] = v_[298] + x_in[52];
+ v_[288] = 0.08 * v_[374] + v_[408];
+ v_[338] = v_[514] * v_[288];
+ v_[332] = v_[423] * v_[366];
+ v_[331] = v_[514] * v_[734];
+ v_[197] = v_[364] + x_in[53];
+ v_[109] = v_[635] * x_in[33];
+ v_[330] = 0 - v_[514];
+ jac[612] = v_[19] * v_[367] + v_[21] * v_[634] + v_[100] * v_[330] + v_[98] * v_[734] + v_[468];
+ v_[468] = v_[11] * x_in[51] + v_[12] * v_[109] + v_[330] * x_in[34];
+ v_[328] = v_[12] * x_in[51] + v_[6] * v_[109] + v_[734] * x_in[34];
+ v_[289] = v_[8] * v_[468] + v_[5] * v_[328] + v_[777] * x_in[35];
+ v_[287] = v_[22] * v_[150] + v_[6] * v_[368] + v_[2] * v_[298] + v_[634] * x_in[34];
+ v_[285] = 0 - v_[430];
+ v_[284] = v_[5] * v_[365] + v_[9] * v_[287] + v_[162] * v_[364] + v_[285] * x_in[35];
+ v_[283] = -0.35 * v_[734] + v_[288];
+ v_[185] = v_[477] * v_[283];
+ v_[194] = v_[307] * v_[430];
+ v_[241] = v_[477] * v_[777];
+ v_[240] = v_[777] * v_[307];
+ v_[593] = v_[307] * v_[307];
+ v_[378] = v_[477] * v_[477];
+ v_[239] = 0.1104774 * v_[197] + -8.81e-05 * v_[289] + 0.881 * v_[284] + -0.881 * (v_[185] - v_[194]) + 0.1104774 * v_[241] + 8.81e-05 * v_[240] - -0.0004405 * (v_[593] + v_[378]);
+ v_[237] = 0 - v_[477];
+ jac[630] = v_[14] * v_[285] + v_[18] * v_[620] + v_[17] * v_[237] + v_[13] * v_[777] + v_[191];
+ v_[191] = v_[5] * v_[468] + v_[16] * v_[328] + v_[237] * x_in[35];
+ v_[186] = v_[8] * v_[365] + v_[5] * v_[287] + v_[168] * v_[364] + v_[620] * x_in[35];
+ v_[183] = v_[777] * v_[283] - v_[307] * v_[620];
+ v_[180] = v_[477] * v_[307];
+ v_[179] = v_[777] * v_[777];
+ v_[593] = 0.0004405 * v_[197] + 8.81e-05 * v_[191] + 0.881 * v_[186] + 0.881 * v_[183] + 8.81e-05 * v_[180] + -0.0004405 * v_[241] - 0.1104774 * (v_[593] + v_[179]);
+ v_[177] = v_[423] * v_[423];
+ v_[35] = v_[514] * v_[514];
+ v_[148] = 3.146 * v_[365] + 0.47422804 * v_[364] + -3.146 * (v_[338] - v_[332]) + 0.47422804 * v_[331] + v_[5] * v_[239] + v_[8] * v_[593] - 0.0825825 * (v_[177] + v_[35]);
+ v_[113] = v_[734] * v_[288] - v_[423] * v_[634];
+ v_[112] = v_[734] * v_[734];
+ v_[660] = 3.146 * v_[287] + -0.0825825 * v_[364] + 3.146 * v_[113] + 0.0825825 * v_[331] + v_[9] * v_[239] + v_[5] * v_[593] - 0.47422804 * (v_[177] + v_[112]);
+ v_[308] = v_[374] * v_[374];
+ v_[110] = v_[635] * v_[635];
+ v_[108] = 3.44 * v_[368] + 0.5824264 * v_[298] + 3.44 * v_[726] + 0.5824264 * v_[369] + v_[3] * v_[148] + v_[6] * v_[660] - 0.1466472 * (v_[308] + v_[110]);
+ v_[15] = v_[10] * 0.1104774 + v_[15] * -0.0004405;
+ v_[99] = (0 - v_[99]) * 8.81e-05;
+ v_[520] = v_[99] + v_[520];
+ v_[520] = v_[597] * v_[283] + v_[472] * v_[430] + v_[619] * v_[307] + v_[15] * v_[477] + v_[520] * v_[777] + v_[520] * v_[777] + v_[13] * x_in[35];
+ v_[99] = v_[99] + v_[297];
+ v_[99] = v_[476] * v_[283] + v_[198] * v_[620] + v_[678] * v_[307] + v_[15] * v_[777] + v_[99] * v_[477] + v_[99] * v_[477] - v_[17] * x_in[35];
+ v_[15] = v_[4] * 0.47422804 + v_[7] * 0.0825825 + (0 - v_[11]) * 2.1e-05 + v_[12] * -0.000102;
+ v_[469] = v_[473] - v_[469];
+ v_[469] = v_[481] * -0.35 + v_[520] * v_[5] + v_[99] * v_[8] + v_[745] * v_[288] + v_[121] * v_[366] + v_[765] * v_[423] + v_[15] * v_[514] + v_[469] * v_[734] + v_[469] * v_[734] + v_[98] * x_in[34];
+ v_[471] = v_[220] - v_[471];
+ v_[471] = v_[520] * v_[16] + v_[99] * v_[5] + v_[617] * v_[288] + v_[412] * v_[634] + v_[193] * v_[423] + v_[15] * v_[734] + v_[471] * v_[514] + v_[471] * v_[514] - v_[100] * x_in[34];
+ v_[413] = v_[413] - 0.1466472;
+ v_[15] = v_[1] * 0.5824264 - 5.1e-05;
+ jac[936] = jac[954] + v_[14] * v_[162] + v_[18] * v_[168] + v_[4] * 0.47422804 + v_[7] * -0.0825825 + v_[11] * 2.1e-05 + v_[12] * -0.000102;
+ v_[412] = jac[936] + v_[19] * v_[159] + v_[21] * v_[2] + v_[1] * 0.5824264 - 5.1e-05;
+ v_[140] = v_[469] * v_[12] + v_[471] * v_[6] + v_[413] * v_[527] + v_[15] * v_[374] + v_[140] * v_[635] + -3.6e-05 * v_[590] + -3.6e-05 * v_[590] - v_[412] * x_in[33];
+ jac[342] = 0.0053433 * x_in[21] + 0.473273 * x_in[20] + 0.190812 * x_in[18] + 0.012668 * x_in[19] + 0.012668 * x_in[19] + v_[770] * v_[227] + v_[409] * v_[158] + v_[345] * v_[0] + v_[140] * v_[96] + v_[748] * v_[233] + v_[511] * v_[174] + v_[195] * v_[175] + v_[591] * v_[235] + v_[153] * v_[246] + v_[651] * v_[189] + v_[614] * v_[39] + v_[484] * v_[119] + v_[690] * v_[252] + v_[643] * v_[205] + v_[395] * v_[206] + v_[655] * v_[214];
+ v_[193] = sin(x_in[15]);
+ v_[617] = 0 - v_[75];
+ v_[220] = v_[96] * v_[149] + v_[0] * v_[89] + v_[617] * x_in[33];
+ v_[121] = v_[590] * v_[635];
+ v_[765] = v_[590] * v_[527];
+ v_[745] = v_[374] * v_[75];
+ v_[481] = v_[635] * v_[374];
+ v_[473] = 0.08 * x_in[51] + v_[220];
+ v_[198] = v_[514] * v_[423];
+ v_[678] = v_[514] * v_[634] - v_[734] * v_[366];
+ v_[476] = v_[734] * v_[423];
+ v_[297] = -0.35 * v_[468] + v_[473];
+ v_[472] = v_[477] * v_[620] - v_[777] * v_[430];
+ v_[179] = -0.1104774 * v_[191] + -0.0004405 * v_[289] + 0.881 * v_[297] + 0.881 * v_[472] + 0.1104774 * v_[180] + -0.0004405 * v_[240] - 8.81e-05 * (v_[179] + v_[378]);
+ v_[378] = 0.1466472 * x_in[51] + -0.5824264 * v_[109] + 3.44 * v_[220] + 0.1466472 * v_[121] + -3.44 * (v_[765] - v_[745]) + 0.5824264 * v_[481] + -0.47422804 * v_[468] + 0.0825825 * v_[328] + 3.146 * v_[473] + 0.47422804 * v_[198] + 3.146 * v_[678] + 0.0825825 * v_[476] + v_[179];
+ v_[619] = cos(x_in[15]);
+ jac[270] = 0 - (v_[102] * v_[89] + v_[770] * x_in[22] + v_[345] * x_in[19] + v_[770] * x_in[20] * -0.3735 - (v_[103] * v_[149] + v_[409] * x_in[23]) + v_[409] * x_in[19] * -0.3735 + (v_[108] + v_[409] * x_in[18]) * 0.207 - v_[140] * x_in[20]) * v_[193] + (v_[102] * v_[149] + v_[103] * v_[89] + v_[770] * x_in[23] + v_[409] * x_in[22] + v_[345] * x_in[20] + v_[140] * x_in[19] + v_[770] * x_in[19] * 0.3735 + (v_[378] + v_[770] * x_in[18]) * -0.207 + v_[409] * x_in[20] * -0.3735) * v_[619];
+ v_[113] = -5.1e-05 * x_in[51] + 0.144171 * v_[298] + -3.6e-05 * v_[109] + -0.1466472 * v_[150] + 0.5824264 * v_[368] + 0.5824264 * v_[726] + -3.6e-05 * v_[481] + -0.022734 * (v_[308] - v_[590] * v_[590]) + v_[159] * v_[148] + v_[2] * v_[660] + 0.089871 * v_[364] + 2.1e-05 * v_[468] + -0.000102 * v_[328] + 0.47422804 * v_[365] + -0.0825825 * v_[287] + 0.47422804 * (v_[332] - v_[338]) + 0.081641 * v_[331] + 2.1e-05 * v_[198] + v_[162] * v_[239] + v_[168] * v_[593] + 0.1104774 * v_[284] + 0.0004405 * v_[186] + 0.026181 * v_[197] + 0.1104774 * (v_[194] - v_[185]) + 0.025941 * v_[241] - -0.0004405 * v_[183] - 0.0825825 * v_[113] - -0.000102 * v_[476] - -0.007418 * (v_[112] - v_[35]) - 0.1466472 * (v_[590] * v_[408] - v_[635] * v_[75]) - -0.123672 * v_[369] - -5.1e-05 * v_[121];
+ v_[241] = v_[169] * 0.881 + (0 - v_[0]) * -0.0004405 + v_[170] * 8.81e-05;
+ v_[197] = v_[163] * -0.881;
+ v_[332] = v_[0] * 0.1104774;
+ v_[338] = v_[166] * 8.81e-05;
+ v_[726] = v_[197] - v_[332] + v_[338];
+ v_[597] = v_[241] * v_[777] + v_[726] * v_[477];
+ v_[10] = v_[161] * 3.146 + (0 - v_[0]) * 0.0825825;
+ v_[36] = v_[160] * -3.146;
+ v_[34] = v_[0] * 0.47422804;
+ v_[30] = v_[36] - v_[34];
+ v_[27] = v_[597] + v_[10] * v_[734] + v_[30] * v_[514];
+ v_[318] = v_[158] * 3.44 + v_[0] * 0.5824264;
+ v_[710] = 0 - v_[318];
+ v_[478] = (0 - v_[0]) * 0.1466472;
+ v_[572] = v_[27] + v_[710] * v_[374] + v_[478] * v_[590] + v_[232] * x_in[33];
+ v_[650] = 0 - v_[241];
+ v_[338] = 0 - v_[197] + v_[332] - v_[338];
+ v_[332] = v_[228] * -0.0004405 + v_[163] * 8.81e-05 + v_[166] * -0.000227999999999999;
+ v_[197] = v_[228] * 0.1104774 + v_[169] * 8.81e-05 + (0 - v_[170]) * 0.025713;
+ v_[649] = (0 - v_[163]) * -0.0004405;
+ v_[600] = (0 - v_[169]) * 0.1104774;
+ v_[637] = v_[649] + v_[600];
+ v_[637] = v_[650] * v_[620] + v_[338] * v_[430] + v_[332] * v_[777] + v_[197] * v_[477] + v_[637] * v_[307] + v_[637] * v_[307];
+ v_[636] = v_[228] * 0.881 + (0 - v_[170]) * 0.1104774 + v_[166] * -0.0004405;
+ v_[650] = v_[650] * v_[307] + v_[636] * v_[477] + v_[171] * x_in[35];
+ v_[756] = 0 - v_[636];
+ v_[338] = v_[338] * v_[307] + v_[756] * v_[777] - v_[167] * x_in[35];
+ v_[621] = 0 - v_[10];
+ v_[34] = 0 - v_[36] + v_[34];
+ v_[36] = v_[227] * 0.0825825 + (0 - v_[0]) * -0.000102 + v_[164] * -0.007418 + v_[165] * 0.002735;
+ v_[541] = v_[227] * 0.47422804 + v_[0] * 2.1e-05 + (0 - v_[164]) * 0.084376 + (0 - v_[165]) * -0.007418;
+ v_[52] = (0 - v_[160]) * 0.0825825;
+ v_[497] = (0 - v_[161]) * 0.47422804;
+ v_[498] = v_[164] * -0.000102;
+ v_[303] = (0 - v_[165]) * 2.1e-05;
+ v_[302] = v_[52] + v_[497] + v_[498] + v_[303];
+ v_[302] = v_[637] + v_[650] * v_[162] + v_[338] * v_[168] + v_[621] * v_[634] + v_[34] * v_[366] + v_[36] * v_[734] + v_[541] * v_[514] + v_[302] * v_[423] + v_[302] * v_[423];
+ v_[475] = v_[227] * 3.146 + (0 - v_[164]) * 0.47422804 + v_[165] * 0.0825825;
+ v_[621] = v_[650] * v_[5] + v_[338] * v_[8] + v_[621] * v_[423] + v_[475] * v_[514] + v_[173] * x_in[34];
+ v_[474] = 0 - v_[475];
+ v_[34] = v_[650] * v_[9] + v_[338] * v_[5] + v_[34] * v_[423] + v_[474] * v_[734] - v_[172] * x_in[34];
+ v_[437] = 0 - v_[478];
+ v_[438] = v_[227] * 0.5824264 + v_[0] * -3.6e-05 + v_[96] * -0.133138;
+ v_[415] = v_[227] * 0.1466472 + (0 - v_[0]) * -5.1e-05 + v_[96] * -0.022734;
+ v_[414] = (0 - v_[158]) * 0.1466472;
+ v_[371] = (0 - v_[96]) * -5.1e-05;
+ v_[370] = v_[414] - v_[371];
+ v_[170] = v_[228] * -0.1104774 + v_[169] * 8.81e-05 + v_[170] * 0.026409;
+ v_[166] = v_[228] * -0.0004405 + v_[163] * -8.81e-05 + v_[166] * 0.000468;
+ jac[631] = v_[167] * v_[285] + v_[171] * v_[620] + v_[170] * v_[237] + v_[166] * v_[777] + v_[637];
+ v_[229] = v_[229] * -0.35 + v_[170] * v_[5] + v_[166] * v_[8] + v_[227] * -0.47422804 + v_[0] * 2.1e-05 + v_[164] * 0.087136 + v_[165] * -0.007418;
+ v_[637] = v_[170] * v_[16] + v_[166] * v_[5] + v_[227] * 0.0825825 + v_[0] * -0.000102 + v_[164] * -0.007418 + v_[165] * 0.005495;
+ jac[613] = v_[172] * v_[367] + v_[173] * v_[634] + v_[229] * v_[330] + v_[637] * v_[734] + v_[302];
+ jac[919] = v_[230] * 0.08 + v_[229] * v_[11] + v_[637] * v_[12] + v_[227] * 0.1466472 + v_[0] * -5.1e-05 + v_[96] * -0.022734;
+ v_[230] = v_[229] * v_[12] + v_[637] * v_[6] + v_[227] * -0.5824264 + v_[0] * -3.6e-05 + v_[96] * 0.134705;
+ v_[370] = v_[302] + v_[621] * v_[159] + v_[34] * v_[2] + v_[318] * v_[527] + v_[437] * v_[75] + v_[438] * v_[374] + v_[415] * v_[590] + v_[370] * v_[635] + v_[370] * v_[635] + v_[230] * x_in[33];
+ v_[302] = v_[227] * -3.44;
+ v_[327] = v_[96] * 0.5824264;
+ v_[333] = 0 - v_[302] - v_[327];
+ v_[437] = v_[621] * v_[3] + v_[34] * v_[6] + v_[333] * v_[374] + v_[437] * v_[635] - v_[231] * x_in[33];
+ jac[397] = -2.0678571 * x_in[20] + 1.1915559 * x_in[18] + v_[572] * v_[0] + v_[437] * v_[96] + v_[741] * v_[143] + v_[573] * v_[144] + v_[73] * v_[39] + v_[139] * v_[119] + v_[262] * v_[145] + v_[709] * v_[146];
+ jac[415] = 2.0678571 * x_in[19] + v_[572] * v_[96] + v_[437] * v_[104] + v_[741] * v_[105] + v_[573] * v_[118] + v_[73] * v_[119] + v_[139] * v_[127] + v_[262] * v_[128] + v_[709] * v_[136];
+ v_[169] = v_[163] * 0.1104774 + v_[169] * -0.0004405 + v_[0] * 0.025941;
+ v_[228] = (0 - v_[228]) * 8.81e-05;
+ v_[600] = v_[228] + v_[600];
+ v_[600] = v_[241] * v_[283] + v_[756] * v_[430] + v_[332] * v_[307] + v_[169] * v_[477] + v_[600] * v_[777] + v_[600] * v_[777] + v_[166] * x_in[35];
+ v_[228] = v_[228] + v_[649];
+ v_[228] = v_[726] * v_[283] + v_[636] * v_[620] + v_[197] * v_[307] + v_[169] * v_[777] + v_[228] * v_[477] + v_[228] * v_[477] - v_[170] * x_in[35];
+ v_[169] = v_[160] * 0.47422804 + v_[161] * 0.0825825 + v_[0] * 0.081641 + (0 - v_[164]) * 2.1e-05 + v_[165] * -0.000102;
+ v_[636] = (0 - v_[0]) * -0.007418;
+ v_[303] = v_[497] + v_[636] - v_[303];
+ v_[303] = v_[597] * -0.35 + v_[600] * v_[5] + v_[228] * v_[8] + v_[10] * v_[288] + v_[474] * v_[366] + v_[36] * v_[423] + v_[169] * v_[514] + v_[303] * v_[734] + v_[303] * v_[734] + v_[637] * x_in[34];
+ v_[636] = v_[52] - v_[636] - v_[498];
+ v_[636] = v_[600] * v_[16] + v_[228] * v_[5] + v_[30] * v_[288] + v_[475] * v_[634] + v_[541] * v_[423] + v_[169] * v_[734] + v_[636] * v_[514] + v_[636] * v_[514] - v_[229] * x_in[34];
+ v_[327] = v_[302] + v_[327];
+ v_[302] = v_[158] * 0.5824264 + (0 - v_[0]) * -0.123672 + (0 - v_[96]) * -3.6e-05;
+ v_[169] = v_[0] * -0.022734;
+ v_[475] = 0 - v_[169];
+ jac[937] = jac[955] + v_[167] * v_[162] + v_[171] * v_[168] + v_[160] * 0.47422804 + v_[161] * -0.0825825 + v_[0] * 0.089871 + v_[164] * 2.1e-05 + v_[165] * -0.000102;
+ v_[541] = jac[937] + v_[172] * v_[159] + v_[173] * v_[2] + v_[158] * 0.5824264 + v_[0] * 0.144171 + v_[96] * -3.6e-05;
+ v_[475] = v_[303] * v_[12] + v_[636] * v_[6] + v_[327] * v_[527] + v_[478] * v_[408] + v_[302] * v_[374] + v_[415] * v_[635] + v_[475] * v_[590] + v_[475] * v_[590] - v_[541] * x_in[33];
+ jac[343] = 2.0678571 * x_in[23] + -1.1915559 * x_in[21] + -0.00571 * x_in[20] + -0.012668 * x_in[18] + v_[572] * v_[227] + v_[437] * v_[158] + v_[370] * v_[0] + v_[475] * v_[96] + v_[741] * v_[233] + v_[573] * v_[174] + v_[210] * v_[175] + v_[744] * v_[235] + v_[73] * v_[246] + v_[139] * v_[189] + v_[507] * v_[39] + v_[661] * v_[119] + v_[262] * v_[252] + v_[709] * v_[205] + v_[694] * v_[206] + v_[263] * v_[214];
+ v_[180] = -0.1104774 * v_[297] + 8.81e-05 * v_[186] + 0.026409 * v_[191] + 8.81e-05 * v_[183] - 0.1104774 * v_[472] - 0.025713 * v_[180];
+ v_[472] = -0.0004405 * v_[297] + -8.81e-05 * v_[284] + 0.000468 * v_[289] + -0.0004405 * v_[472] + 8.81e-05 * (v_[185] - v_[194]) + -0.000227999999999999 * v_[240];
+ v_[179] = 2.1e-05 * v_[364] + 0.087136 * v_[468] + -0.007418 * v_[328] + -0.47422804 * v_[473] + -0.007418 * v_[476] + -0.000102 * (v_[177] - v_[35]) + v_[5] * v_[180] + v_[8] * v_[472] + -0.35 * v_[179] - 0.47422804 * v_[678] - 0.084376 * v_[198] - 2.1e-05 * v_[331];
+ v_[476] = -0.000102 * v_[364] + -0.007418 * v_[468] + 0.005495 * v_[328] + 0.0825825 * v_[473] + 0.002735 * v_[476] + 0.0825825 * v_[678] + -0.000102 * v_[331] + v_[16] * v_[180] + v_[5] * v_[472] - -0.007418 * v_[198] - 2.1e-05 * (v_[177] - v_[112]);
+ v_[481] = -0.022734 * x_in[51] + -3.6e-05 * v_[298] + 0.134705 * v_[109] + -0.5824264 * v_[220] + -0.133138 * v_[481] + 0.5824264 * (v_[765] - v_[745]) + -0.022734 * v_[121] + v_[12] * v_[179] + v_[6] * v_[476] - -3.6e-05 * v_[369] - -5.1e-05 * (v_[308] - v_[110]);
+ jac[271] = 0 - (v_[113] + v_[231] * v_[89] + v_[572] * x_in[22] + v_[370] * x_in[19] + v_[572] * x_in[20] * -0.3735 - (v_[232] * v_[149] + v_[437] * x_in[23]) + (v_[108] + v_[437] * x_in[19]) * -0.3735 + v_[437] * x_in[18] * 0.207 - v_[475] * x_in[20]) * v_[193] + (v_[481] + v_[231] * v_[149] + v_[232] * v_[89] + v_[572] * x_in[23] + v_[437] * x_in[22] + v_[370] * x_in[20] + v_[475] * x_in[19] + (v_[378] + v_[572] * x_in[19]) * 0.3735 + v_[572] * x_in[18] * -0.207 + v_[437] * x_in[20] * -0.3735) * v_[619];
+ v_[745] = v_[277] * 0.881 + (0 - v_[96]) * -0.0004405 + v_[278] * 8.81e-05;
+ v_[765] = v_[271] * -0.881;
+ v_[121] = v_[96] * 0.1104774;
+ v_[220] = v_[275] * 8.81e-05;
+ v_[110] = v_[765] - v_[121] + v_[220];
+ v_[308] = v_[745] * v_[777] + v_[110] * v_[477];
+ v_[369] = v_[270] * 3.146 + (0 - v_[96]) * 0.0825825;
+ v_[678] = v_[269] * -3.146;
+ v_[198] = v_[96] * 0.47422804;
+ v_[473] = v_[678] - v_[198];
+ v_[112] = v_[308] + v_[369] * v_[734] + v_[473] * v_[514];
+ v_[177] = v_[268] * 3.44 + v_[96] * 0.5824264;
+ v_[331] = 0 - v_[177];
+ v_[35] = 0.71208 + (0 - v_[96]) * 0.1466472;
+ v_[297] = v_[112] + v_[331] * v_[374] + v_[35] * v_[590] + v_[326] * x_in[33];
+ v_[240] = 0 - v_[745];
+ v_[220] = 0 - v_[765] + v_[121] - v_[220];
+ v_[121] = v_[322] * -0.0004405 + v_[271] * 8.81e-05 + v_[275] * -0.000227999999999999;
+ v_[765] = v_[322] * 0.1104774 + v_[277] * 8.81e-05 + (0 - v_[278]) * 0.025713;
+ v_[194] = (0 - v_[271]) * -0.0004405;
+ v_[185] = (0 - v_[277]) * 0.1104774;
+ v_[284] = v_[194] + v_[185];
+ v_[284] = v_[240] * v_[620] + v_[220] * v_[430] + v_[121] * v_[777] + v_[765] * v_[477] + v_[284] * v_[307] + v_[284] * v_[307];
+ v_[289] = v_[322] * 0.881 + (0 - v_[278]) * 0.1104774 + v_[275] * -0.0004405;
+ v_[240] = v_[240] * v_[307] + v_[289] * v_[477] + v_[279] * x_in[35];
+ v_[183] = 0 - v_[289];
+ v_[220] = v_[220] * v_[307] + v_[183] * v_[777] - v_[276] * x_in[35];
+ v_[186] = 0 - v_[369];
+ v_[198] = 0 - v_[678] + v_[198];
+ v_[678] = v_[321] * 0.0825825 + (0 - v_[96]) * -0.000102 + v_[273] * -0.007418 + v_[274] * 0.002735;
+ v_[191] = v_[321] * 0.47422804 + v_[96] * 2.1e-05 + (0 - v_[273]) * 0.084376 + (0 - v_[274]) * -0.007418;
+ v_[415] = (0 - v_[269]) * 0.0825825;
+ v_[478] = (0 - v_[270]) * 0.47422804;
+ v_[30] = v_[273] * -0.000102;
+ v_[498] = (0 - v_[274]) * 2.1e-05;
+ v_[52] = v_[415] + v_[478] + v_[30] + v_[498];
+ v_[52] = v_[284] + v_[240] * v_[162] + v_[220] * v_[168] + v_[186] * v_[634] + v_[198] * v_[366] + v_[678] * v_[734] + v_[191] * v_[514] + v_[52] * v_[423] + v_[52] * v_[423];
+ v_[474] = v_[321] * 3.146 + (0 - v_[273]) * 0.47422804 + v_[274] * 0.0825825;
+ v_[186] = v_[240] * v_[5] + v_[220] * v_[8] + v_[186] * v_[423] + v_[474] * v_[514] + v_[281] * x_in[34];
+ v_[36] = 0 - v_[474];
+ v_[198] = v_[240] * v_[9] + v_[220] * v_[5] + v_[198] * v_[423] + v_[36] * v_[734] - v_[280] * x_in[34];
+ v_[10] = 0 - v_[35];
+ v_[597] = v_[321] * 0.5824264 + v_[96] * -3.6e-05 + v_[272] * -0.133138;
+ v_[497] = v_[321] * 0.1466472 + (0 - v_[96]) * -5.1e-05 + v_[272] * -0.022734;
+ v_[197] = (0 - v_[268]) * 0.1466472;
+ v_[726] = (0 - v_[272]) * -5.1e-05;
+ v_[649] = -0.1205622648 + v_[197] - v_[726];
+ v_[278] = v_[322] * -0.1104774 + v_[277] * 8.81e-05 + v_[278] * 0.026409;
+ v_[275] = v_[322] * -0.0004405 + v_[271] * -8.81e-05 + v_[275] * 0.000468;
+ jac[632] = v_[276] * v_[285] + v_[279] * v_[620] + v_[278] * v_[237] + v_[275] * v_[777] + v_[284];
+ v_[323] = v_[323] * -0.35 + v_[278] * v_[5] + v_[275] * v_[8] + v_[321] * -0.47422804 + v_[96] * 2.1e-05 + v_[273] * 0.087136 + v_[274] * -0.007418;
+ v_[284] = v_[278] * v_[16] + v_[275] * v_[5] + v_[321] * 0.0825825 + v_[96] * -0.000102 + v_[273] * -0.007418 + v_[274] * 0.005495;
+ jac[614] = v_[280] * v_[367] + v_[281] * v_[634] + v_[323] * v_[330] + v_[284] * v_[734] + v_[52];
+ jac[920] = v_[324] * 0.08 + v_[323] * v_[11] + v_[284] * v_[12] + v_[321] * 0.1466472 + v_[96] * -5.1e-05 + v_[272] * -0.022734;
+ v_[324] = v_[323] * v_[12] + v_[284] * v_[6] + v_[321] * -0.5824264 + v_[96] * -3.6e-05 + v_[272] * 0.134705;
+ v_[649] = v_[52] + v_[186] * v_[159] + v_[198] * v_[2] + v_[177] * v_[527] + v_[10] * v_[75] + v_[597] * v_[374] + v_[497] * v_[590] + v_[649] * v_[635] + v_[649] * v_[635] + v_[324] * x_in[33];
+ v_[52] = v_[321] * -3.44;
+ v_[756] = v_[272] * 0.5824264;
+ v_[332] = 0 - v_[52] - v_[756];
+ v_[10] = v_[186] * v_[3] + v_[198] * v_[6] + v_[332] * v_[374] + v_[10] * v_[635] - v_[325] * x_in[33];
+ jac[398] = -0.0053433 * x_in[20] + v_[297] * v_[0] + v_[10] * v_[96] + v_[299] * v_[143] + v_[43] * v_[144] + v_[486] * v_[39] + v_[49] * v_[119] + v_[453] * v_[145] + v_[91] * v_[146];
+ jac[416] = 0.0053433 * x_in[19] + 1.1915559 * x_in[18] + v_[297] * v_[96] + v_[10] * v_[104] + v_[299] * v_[105] + v_[43] * v_[118] + v_[486] * v_[119] + v_[49] * v_[127] + v_[453] * v_[128] + v_[91] * v_[136];
+ v_[277] = v_[271] * 0.1104774 + v_[277] * -0.0004405 + v_[96] * 0.025941;
+ v_[322] = (0 - v_[322]) * 8.81e-05;
+ v_[185] = v_[322] + v_[185];
+ v_[185] = v_[745] * v_[283] + v_[183] * v_[430] + v_[121] * v_[307] + v_[277] * v_[477] + v_[185] * v_[777] + v_[185] * v_[777] + v_[275] * x_in[35];
+ v_[322] = v_[322] + v_[194];
+ v_[322] = v_[110] * v_[283] + v_[289] * v_[620] + v_[765] * v_[307] + v_[277] * v_[777] + v_[322] * v_[477] + v_[322] * v_[477] - v_[278] * x_in[35];
+ v_[277] = v_[269] * 0.47422804 + v_[270] * 0.0825825 + v_[96] * 0.081641 + (0 - v_[273]) * 2.1e-05 + v_[274] * -0.000102;
+ v_[289] = (0 - v_[96]) * -0.007418;
+ v_[498] = v_[478] + v_[289] - v_[498];
+ v_[498] = v_[308] * -0.35 + v_[185] * v_[5] + v_[322] * v_[8] + v_[369] * v_[288] + v_[36] * v_[366] + v_[678] * v_[423] + v_[277] * v_[514] + v_[498] * v_[734] + v_[498] * v_[734] + v_[284] * x_in[34];
+ v_[289] = v_[415] - v_[289] - v_[30];
+ v_[289] = v_[185] * v_[16] + v_[322] * v_[5] + v_[473] * v_[288] + v_[474] * v_[634] + v_[191] * v_[423] + v_[277] * v_[734] + v_[289] * v_[514] + v_[289] * v_[514] - v_[323] * x_in[34];
+ v_[756] = v_[52] + v_[756];
+ v_[52] = 0.0303559704 + v_[268] * 0.5824264 + (0 - v_[96]) * -0.123672 + (0 - v_[272]) * -3.6e-05;
+ v_[277] = v_[96] * -0.022734;
+ v_[474] = -0.1205622648 - v_[277];
+ jac[938] = jac[956] + v_[276] * v_[162] + v_[279] * v_[168] + v_[269] * 0.47422804 + v_[270] * -0.0825825 + v_[96] * 0.089871 + v_[273] * 2.1e-05 + v_[274] * -0.000102;
+ v_[191] = jac[938] + v_[280] * v_[159] + v_[281] * v_[2] - 0.0303559704 + v_[268] * 0.5824264 + v_[96] * 0.144171 + v_[272] * -3.6e-05;
+ v_[474] = v_[498] * v_[12] + v_[289] * v_[6] + v_[756] * v_[527] + v_[35] * v_[408] + v_[52] * v_[374] + v_[497] * v_[635] + v_[474] * v_[590] + v_[474] * v_[590] - v_[191] * x_in[33];
+ jac[272] = 0 - (v_[325] * v_[89] + v_[297] * x_in[22] + v_[649] * x_in[19] + (v_[378] + v_[297] * x_in[20]) * -0.3735 - (v_[326] * v_[149] + v_[10] * x_in[23]) + v_[10] * x_in[19] * -0.3735 + v_[10] * x_in[18] * 0.207 - (v_[481] + v_[474] * x_in[20])) * v_[193] + (v_[113] + v_[325] * v_[149] + v_[326] * v_[89] + v_[297] * x_in[23] + v_[10] * x_in[22] + v_[649] * x_in[20] + v_[474] * x_in[19] + v_[297] * x_in[19] * 0.3735 + v_[297] * x_in[18] * -0.207 + (v_[108] + v_[10] * x_in[20]) * -0.3735) * v_[619];
+ jac[344] = 0.0053433 * x_in[23] + -0.190812 * x_in[20] + 4.374212 * x_in[18] + 0.00571 * x_in[19] + 0.00571 * x_in[19] + v_[297] * v_[227] + v_[10] * v_[158] + v_[649] * v_[0] + v_[474] * v_[96] + v_[299] * v_[233] + v_[43] * v_[174] + v_[483] * v_[175] + v_[122] * v_[235] + v_[486] * v_[246] + v_[49] * v_[189] + v_[66] * v_[39] + v_[528] * v_[119] + v_[453] * v_[252] + v_[91] * v_[205] + v_[213] * v_[206] + v_[563] * v_[214];
+ v_[481] = v_[360] * 0.881;
+ v_[113] = v_[358] * -0.881;
+ v_[497] = v_[481] * v_[777] + v_[113] * v_[477];
+ v_[35] = v_[22] * 3.146;
+ v_[473] = v_[20] * -3.146;
+ v_[30] = v_[497] + v_[35] * v_[734] + v_[473] * v_[514];
+ v_[415] = v_[30] + 3.44 * v_[590] + v_[387] * x_in[33];
+ v_[36] = 0 - v_[481];
+ v_[678] = 0 - v_[113];
+ v_[369] = v_[358] * 8.81e-05;
+ v_[308] = v_[360] * 8.81e-05;
+ v_[478] = (0 - v_[358]) * -0.0004405;
+ v_[765] = (0 - v_[360]) * 0.1104774;
+ v_[110] = v_[478] + v_[765];
+ v_[110] = v_[36] * v_[620] + v_[678] * v_[430] + v_[369] * v_[777] + v_[308] * v_[477] + v_[110] * v_[307] + v_[110] * v_[307];
+ v_[36] = v_[36] * v_[307] + v_[361] * x_in[35];
+ v_[678] = v_[678] * v_[307] - v_[359] * x_in[35];
+ v_[194] = 0 - v_[35];
+ v_[183] = 0 - v_[473];
+ v_[121] = (0 - v_[20]) * 0.0825825;
+ v_[745] = (0 - v_[22]) * 0.47422804;
+ v_[271] = v_[121] + v_[745];
+ v_[271] = v_[110] + v_[36] * v_[162] + v_[678] * v_[168] + v_[194] * v_[634] + v_[183] * v_[366] + v_[271] * v_[423] + v_[271] * v_[423];
+ v_[194] = v_[36] * v_[5] + v_[678] * v_[8] + v_[194] * v_[423] + v_[363] * x_in[34];
+ v_[183] = v_[36] * v_[9] + v_[678] * v_[5] + v_[183] * v_[423] - v_[362] * x_in[34];
+ v_[241] = v_[360] * 8.81e-05;
+ v_[163] = v_[358] * -8.81e-05;
+ jac[633] = v_[359] * v_[285] + v_[361] * v_[620] + v_[241] * v_[237] + v_[163] * v_[777] + v_[110];
+ v_[110] = v_[241] * v_[5] + v_[163] * v_[8];
+ v_[291] = v_[241] * v_[16] + v_[163] * v_[5];
+ jac[615] = v_[362] * v_[367] + v_[363] * v_[634] + v_[110] * v_[330] + v_[291] * v_[734] + v_[271];
+ jac[921] = v_[110] * v_[11] + v_[291] * v_[12];
+ v_[290] = v_[110] * v_[12] + v_[291] * v_[6];
+ v_[271] = v_[271] + v_[194] * v_[159] + v_[183] * v_[2] + -3.44 * v_[75] + -0.5824264 * v_[635] + -0.5824264 * v_[635] + v_[290] * x_in[33];
+ v_[234] = v_[194] * v_[3] + v_[183] * v_[6] + -3.44 * v_[635];
+ jac[399] = -53.433 * x_in[20] + v_[415] * v_[0] + v_[234] * v_[96] + v_[560] * v_[143] + v_[599] * v_[144] + v_[525] * v_[39] + v_[604] * v_[119] + v_[707] * v_[145] + v_[700] * v_[146];
+ jac[417] = 53.433 * x_in[19] + v_[415] * v_[96] + v_[234] * v_[104] + v_[560] * v_[105] + v_[599] * v_[118] + v_[525] * v_[119] + v_[604] * v_[127] + v_[707] * v_[128] + v_[700] * v_[136];
+ v_[360] = v_[358] * 0.1104774 + v_[360] * -0.0004405;
+ v_[765] = v_[481] * v_[283] + v_[369] * v_[307] + v_[360] * v_[477] + v_[765] * v_[777] + v_[765] * v_[777] + v_[163] * x_in[35];
+ v_[360] = v_[113] * v_[283] + v_[308] * v_[307] + v_[360] * v_[777] + v_[478] * v_[477] + v_[478] * v_[477] - v_[241] * x_in[35];
+ v_[478] = v_[20] * 0.47422804 + v_[22] * 0.0825825;
+ v_[745] = v_[497] * -0.35 + v_[765] * v_[5] + v_[360] * v_[8] + v_[35] * v_[288] + v_[478] * v_[514] + v_[745] * v_[734] + v_[745] * v_[734] + v_[291] * x_in[34];
+ v_[478] = v_[765] * v_[16] + v_[360] * v_[5] + v_[473] * v_[288] + v_[478] * v_[734] + v_[121] * v_[514] + v_[121] * v_[514] - v_[110] * x_in[34];
+ jac[939] = jac[957] + v_[359] * v_[162] + v_[361] * v_[168] + v_[20] * 0.47422804 + v_[22] * -0.0825825;
+ v_[121] = jac[939] + v_[362] * v_[159] + v_[363] * v_[2] - 0.1466472;
+ v_[473] = v_[745] * v_[12] + v_[478] * v_[6] + 3.44 * v_[408] + 0.1466472 * v_[374] + -0.5824264 * v_[590] + -0.5824264 * v_[590] - v_[121] * x_in[33];
+ jac[273] = 0 - (v_[415] * x_in[22] + v_[271] * x_in[19] + v_[415] * x_in[20] * -0.3735 - (v_[387] * v_[149] + v_[234] * x_in[23]) + v_[234] * x_in[19] * -0.3735 + v_[234] * x_in[18] * 0.207 - v_[473] * x_in[20]) * v_[193] + (v_[387] * v_[89] + v_[415] * x_in[23] + v_[234] * x_in[22] + v_[271] * x_in[20] + v_[473] * x_in[19] + v_[415] * x_in[19] * 0.3735 + v_[415] * x_in[18] * -0.207 + v_[234] * x_in[20] * -0.3735) * v_[619];
+ jac[345] = 53.433 * x_in[23] + -0.0053433 * x_in[18] + 1.1915559 * x_in[19] + 1.1915559 * x_in[19] + v_[415] * v_[227] + v_[234] * v_[158] + v_[271] * v_[0] + v_[473] * v_[96] + v_[560] * v_[233] + v_[599] * v_[174] + v_[48] * v_[175] + v_[294] * v_[235] + v_[525] * v_[246] + v_[604] * v_[189] + v_[295] * v_[39] + v_[456] * v_[119] + v_[707] * v_[252] + v_[700] * v_[205] + v_[392] * v_[206] + v_[451] * v_[214];
+ v_[35] = v_[404] * 0.881;
+ v_[497] = v_[402] * -0.881;
+ v_[308] = v_[35] * v_[777] + v_[497] * v_[477];
+ v_[113] = v_[401] * 3.146;
+ v_[369] = v_[400] * -3.146;
+ v_[481] = v_[308] + v_[113] * v_[734] + v_[369] * v_[514];
+ v_[358] = v_[96] * 3.44;
+ v_[242] = 0 - v_[358];
+ v_[188] = v_[481] + v_[242] * v_[374] + v_[436] * x_in[33];
+ v_[187] = 0 - v_[35];
+ v_[107] = 0 - v_[497];
+ v_[114] = v_[0] * -0.0004405 + v_[402] * 8.81e-05;
+ v_[38] = v_[0] * 0.1104774 + v_[404] * 8.81e-05;
+ v_[37] = (0 - v_[402]) * -0.0004405;
+ v_[176] = (0 - v_[404]) * 0.1104774;
+ v_[28] = v_[37] + v_[176];
+ v_[28] = v_[187] * v_[620] + v_[107] * v_[430] + v_[114] * v_[777] + v_[38] * v_[477] + v_[28] * v_[307] + v_[28] * v_[307];
+ v_[653] = v_[0] * 0.881;
+ v_[187] = v_[187] * v_[307] + v_[653] * v_[477] + v_[405] * x_in[35];
+ v_[479] = 0 - v_[653];
+ v_[107] = v_[107] * v_[307] + v_[479] * v_[777] - v_[403] * x_in[35];
+ v_[184] = 0 - v_[113];
+ v_[181] = 0 - v_[369];
+ v_[375] = v_[0] * 0.0825825;
+ v_[419] = v_[0] * 0.47422804;
+ v_[779] = (0 - v_[400]) * 0.0825825;
+ v_[780] = (0 - v_[401]) * 0.47422804;
+ v_[781] = v_[779] + v_[780];
+ v_[781] = v_[28] + v_[187] * v_[162] + v_[107] * v_[168] + v_[184] * v_[634] + v_[181] * v_[366] + v_[375] * v_[734] + v_[419] * v_[514] + v_[781] * v_[423] + v_[781] * v_[423];
+ v_[782] = v_[0] * 3.146;
+ v_[184] = v_[187] * v_[5] + v_[107] * v_[8] + v_[184] * v_[423] + v_[782] * v_[514] + v_[407] * x_in[34];
+ v_[783] = 0 - v_[782];
+ v_[181] = v_[187] * v_[9] + v_[107] * v_[5] + v_[181] * v_[423] + v_[783] * v_[734] - v_[406] * x_in[34];
+ v_[784] = v_[0] * 0.5824264;
+ v_[785] = v_[0] * 0.1466472;
+ v_[786] = (0 - v_[96]) * 0.1466472;
+ v_[787] = v_[0] * -0.1104774 + v_[404] * 8.81e-05;
+ v_[788] = v_[0] * -0.0004405 + v_[402] * -8.81e-05;
+ jac[634] = v_[403] * v_[285] + v_[405] * v_[620] + v_[787] * v_[237] + v_[788] * v_[777] + v_[28];
+ v_[433] = v_[433] * -0.35 + v_[787] * v_[5] + v_[788] * v_[8] + v_[0] * -0.47422804;
+ v_[28] = v_[787] * v_[16] + v_[788] * v_[5] + v_[0] * 0.0825825;
+ jac[616] = v_[406] * v_[367] + v_[407] * v_[634] + v_[433] * v_[330] + v_[28] * v_[734] + v_[781];
+ jac[922] = v_[434] * 0.08 + v_[433] * v_[11] + v_[28] * v_[12] + v_[0] * 0.1466472;
+ v_[434] = v_[433] * v_[12] + v_[28] * v_[6] + v_[0] * -0.5824264;
+ v_[781] = v_[781] + v_[184] * v_[159] + v_[181] * v_[2] + v_[358] * v_[527] + v_[784] * v_[374] + v_[785] * v_[590] + v_[786] * v_[635] + v_[786] * v_[635] + v_[434] * x_in[33];
+ v_[789] = v_[0] * -3.44;
+ v_[790] = 0 - v_[789];
+ v_[791] = v_[184] * v_[3] + v_[181] * v_[6] + v_[790] * v_[374] - v_[435] * x_in[33];
+ jac[400] = v_[188] * v_[0] + v_[791] * v_[96] + v_[57] * v_[143] + v_[630] * v_[144] + v_[431] * v_[39] + v_[87] * v_[119] + v_[682] * v_[145] + v_[628] * v_[146];
+ jac[418] = -53.433 * x_in[18] + v_[188] * v_[96] + v_[791] * v_[104] + v_[57] * v_[105] + v_[630] * v_[118] + v_[431] * v_[119] + v_[87] * v_[127] + v_[682] * v_[128] + v_[628] * v_[136];
+ v_[404] = v_[402] * 0.1104774 + v_[404] * -0.0004405;
+ v_[402] = (0 - v_[0]) * 8.81e-05;
+ v_[176] = v_[402] + v_[176];
+ v_[176] = v_[35] * v_[283] + v_[479] * v_[430] + v_[114] * v_[307] + v_[404] * v_[477] + v_[176] * v_[777] + v_[176] * v_[777] + v_[788] * x_in[35];
+ v_[402] = v_[402] + v_[37];
+ v_[402] = v_[497] * v_[283] + v_[653] * v_[620] + v_[38] * v_[307] + v_[404] * v_[777] + v_[402] * v_[477] + v_[402] * v_[477] - v_[787] * x_in[35];
+ v_[404] = v_[400] * 0.47422804 + v_[401] * 0.0825825;
+ v_[783] = v_[308] * -0.35 + v_[176] * v_[5] + v_[402] * v_[8] + v_[113] * v_[288] + v_[783] * v_[366] + v_[375] * v_[423] + v_[404] * v_[514] + v_[780] * v_[734] + v_[780] * v_[734] + v_[28] * x_in[34];
+ v_[404] = v_[176] * v_[16] + v_[402] * v_[5] + v_[369] * v_[288] + v_[782] * v_[634] + v_[419] * v_[423] + v_[404] * v_[734] + v_[779] * v_[514] + v_[779] * v_[514] - v_[433] * x_in[34];
+ v_[782] = v_[96] * 0.5824264;
+ jac[940] = jac[958] + v_[403] * v_[162] + v_[405] * v_[168] + v_[400] * 0.47422804 + v_[401] * -0.0825825;
+ v_[779] = jac[940] + v_[406] * v_[159] + v_[407] * v_[2] + v_[96] * 0.5824264;
+ v_[785] = v_[783] * v_[12] + v_[404] * v_[6] + v_[789] * v_[527] + v_[782] * v_[374] + v_[785] * v_[635] - v_[779] * x_in[33];
+ jac[274] = 0 - (v_[378] + v_[435] * v_[89] + v_[188] * x_in[22] + v_[781] * x_in[19] + v_[188] * x_in[20] * -0.3735 - (v_[436] * v_[149] + v_[791] * x_in[23]) + v_[791] * x_in[19] * -0.3735 + v_[791] * x_in[18] * 0.207 - v_[785] * x_in[20]) * v_[193] + (v_[108] + v_[435] * v_[149] + v_[436] * v_[89] + v_[188] * x_in[23] + v_[791] * x_in[22] + v_[781] * x_in[20] + v_[785] * x_in[19] + v_[188] * x_in[19] * 0.3735 + v_[188] * x_in[18] * -0.207 + v_[791] * x_in[20] * -0.3735) * v_[619];
+ jac[346] = 2.0678571 * x_in[20] + -1.1915559 * x_in[18] + v_[188] * v_[227] + v_[791] * v_[158] + v_[781] * v_[0] + v_[785] * v_[96] + v_[57] * v_[233] + v_[630] * v_[174] + v_[190] * v_[175] + v_[491] * v_[235] + v_[431] * v_[246] + v_[87] * v_[189] + v_[82] * v_[39] + v_[702] * v_[119] + v_[682] * v_[252] + v_[628] * v_[205] + v_[601] * v_[206] + v_[658] * v_[214];
+ v_[419] = v_[464] * 0.881;
+ v_[369] = v_[462] * -0.881;
+ v_[780] = v_[419] * v_[777] + v_[369] * v_[477];
+ v_[375] = v_[461] * 3.146;
+ v_[113] = v_[460] * -3.146;
+ v_[308] = v_[780] + v_[375] * v_[734] + v_[113] * v_[514];
+ v_[653] = v_[104] * 3.44;
+ v_[38] = 0 - v_[653];
+ v_[497] = v_[308] + v_[38] * v_[374] + v_[496] * x_in[33];
+ v_[37] = 0 - v_[419];
+ v_[479] = 0 - v_[369];
+ v_[114] = v_[96] * -0.0004405 + v_[462] * 8.81e-05;
+ v_[35] = v_[96] * 0.1104774 + v_[464] * 8.81e-05;
+ v_[792] = (0 - v_[462]) * -0.0004405;
+ v_[793] = (0 - v_[464]) * 0.1104774;
+ v_[794] = v_[792] + v_[793];
+ v_[794] = v_[37] * v_[620] + v_[479] * v_[430] + v_[114] * v_[777] + v_[35] * v_[477] + v_[794] * v_[307] + v_[794] * v_[307];
+ v_[795] = v_[96] * 0.881;
+ v_[37] = v_[37] * v_[307] + v_[795] * v_[477] + v_[465] * x_in[35];
+ v_[796] = 0 - v_[795];
+ v_[479] = v_[479] * v_[307] + v_[796] * v_[777] - v_[463] * x_in[35];
+ v_[797] = 0 - v_[375];
+ v_[798] = 0 - v_[113];
+ v_[799] = v_[96] * 0.0825825;
+ v_[800] = v_[96] * 0.47422804;
+ v_[801] = (0 - v_[460]) * 0.0825825;
+ v_[802] = (0 - v_[461]) * 0.47422804;
+ v_[803] = v_[801] + v_[802];
+ v_[803] = v_[794] + v_[37] * v_[162] + v_[479] * v_[168] + v_[797] * v_[634] + v_[798] * v_[366] + v_[799] * v_[734] + v_[800] * v_[514] + v_[803] * v_[423] + v_[803] * v_[423];
+ v_[804] = v_[96] * 3.146;
+ v_[797] = v_[37] * v_[5] + v_[479] * v_[8] + v_[797] * v_[423] + v_[804] * v_[514] + v_[467] * x_in[34];
+ v_[805] = 0 - v_[804];
+ v_[798] = v_[37] * v_[9] + v_[479] * v_[5] + v_[798] * v_[423] + v_[805] * v_[734] - v_[466] * x_in[34];
+ v_[806] = v_[96] * 0.5824264;
+ v_[807] = v_[96] * 0.1466472;
+ v_[808] = (0 - v_[104]) * 0.1466472;
+ v_[809] = v_[96] * -0.1104774 + v_[464] * 8.81e-05;
+ v_[810] = v_[96] * -0.0004405 + v_[462] * -8.81e-05;
+ jac[635] = v_[463] * v_[285] + v_[465] * v_[620] + v_[809] * v_[237] + v_[810] * v_[777] + v_[794];
+ v_[493] = v_[493] * -0.35 + v_[809] * v_[5] + v_[810] * v_[8] + v_[96] * -0.47422804;
+ v_[794] = v_[809] * v_[16] + v_[810] * v_[5] + v_[96] * 0.0825825;
+ jac[617] = v_[466] * v_[367] + v_[467] * v_[634] + v_[493] * v_[330] + v_[794] * v_[734] + v_[803];
+ jac[923] = v_[494] * 0.08 + v_[493] * v_[11] + v_[794] * v_[12] + v_[96] * 0.1466472;
+ v_[494] = v_[493] * v_[12] + v_[794] * v_[6] + v_[96] * -0.5824264;
+ v_[803] = v_[803] + v_[797] * v_[159] + v_[798] * v_[2] + v_[653] * v_[527] + v_[806] * v_[374] + v_[807] * v_[590] + v_[808] * v_[635] + v_[808] * v_[635] + v_[494] * x_in[33];
+ v_[811] = v_[96] * -3.44;
+ v_[812] = 0 - v_[811];
+ v_[813] = v_[797] * v_[3] + v_[798] * v_[6] + v_[812] * v_[374] - v_[495] * x_in[33];
+ jac[401] = 53.433 * x_in[18] + v_[497] * v_[0] + v_[813] * v_[96] + v_[592] * v_[143] + v_[755] * v_[144] + v_[83] * v_[39] + v_[730] * v_[119] + v_[585] * v_[145] + v_[540] * v_[146];
+ jac[419] = v_[497] * v_[96] + v_[813] * v_[104] + v_[592] * v_[105] + v_[755] * v_[118] + v_[83] * v_[119] + v_[730] * v_[127] + v_[585] * v_[128] + v_[540] * v_[136];
+ v_[464] = v_[462] * 0.1104774 + v_[464] * -0.0004405;
+ v_[462] = (0 - v_[96]) * 8.81e-05;
+ v_[793] = v_[462] + v_[793];
+ v_[793] = v_[419] * v_[283] + v_[796] * v_[430] + v_[114] * v_[307] + v_[464] * v_[477] + v_[793] * v_[777] + v_[793] * v_[777] + v_[810] * x_in[35];
+ v_[462] = v_[462] + v_[792];
+ v_[462] = v_[369] * v_[283] + v_[795] * v_[620] + v_[35] * v_[307] + v_[464] * v_[777] + v_[462] * v_[477] + v_[462] * v_[477] - v_[809] * x_in[35];
+ v_[464] = v_[460] * 0.47422804 + v_[461] * 0.0825825;
+ v_[805] = v_[780] * -0.35 + v_[793] * v_[5] + v_[462] * v_[8] + v_[375] * v_[288] + v_[805] * v_[366] + v_[799] * v_[423] + v_[464] * v_[514] + v_[802] * v_[734] + v_[802] * v_[734] + v_[794] * x_in[34];
+ v_[464] = v_[793] * v_[16] + v_[462] * v_[5] + v_[113] * v_[288] + v_[804] * v_[634] + v_[800] * v_[423] + v_[464] * v_[734] + v_[801] * v_[514] + v_[801] * v_[514] - v_[493] * x_in[34];
+ v_[804] = v_[104] * 0.5824264;
+ jac[941] = jac[959] + v_[463] * v_[162] + v_[465] * v_[168] + v_[460] * 0.47422804 + v_[461] * -0.0825825;
+ v_[801] = jac[941] + v_[466] * v_[159] + v_[467] * v_[2] + v_[104] * 0.5824264;
+ v_[807] = v_[805] * v_[12] + v_[464] * v_[6] + v_[811] * v_[527] + v_[804] * v_[374] + v_[807] * v_[635] - v_[801] * x_in[33];
+ jac[275] = 0 - (v_[495] * v_[89] + v_[497] * x_in[22] + v_[803] * x_in[19] + v_[497] * x_in[20] * -0.3735 - (v_[108] + v_[496] * v_[149] + v_[813] * x_in[23]) + v_[813] * x_in[19] * -0.3735 + v_[813] * x_in[18] * 0.207 - v_[807] * x_in[20]) * v_[193] + (v_[378] + v_[495] * v_[149] + v_[496] * v_[89] + v_[497] * x_in[23] + v_[813] * x_in[22] + v_[803] * x_in[20] + v_[807] * x_in[19] + v_[497] * x_in[19] * 0.3735 + v_[497] * x_in[18] * -0.207 + v_[813] * x_in[20] * -0.3735) * v_[619];
+ jac[347] = -53.433 * x_in[21] + -0.0053433 * x_in[20] + -2.0678571 * x_in[19] + -2.0678571 * x_in[19] + v_[497] * v_[227] + v_[813] * v_[158] + v_[803] * v_[0] + v_[807] * v_[96] + v_[592] * v_[233] + v_[755] * v_[174] + v_[763] * v_[175] + v_[542] * v_[235] + v_[83] * v_[246] + v_[730] * v_[189] + v_[720] * v_[39] + v_[724] * v_[119] + v_[585] * v_[252] + v_[540] * v_[205] + v_[459] * v_[206] + v_[568] * v_[214];
+ v_[252] = v_[664] * 8.81e-05;
+ v_[246] = v_[662] * 8.81e-05;
+ v_[235] = v_[252] * v_[777] + v_[246] * v_[477];
+ v_[233] = v_[235] + v_[673] * x_in[33];
+ v_[214] = 0 - v_[252];
+ v_[205] = 0 - v_[246];
+ v_[189] = v_[669] * -0.0004405 + v_[662] * -0.000227999999999999;
+ v_[174] = v_[669] * 0.1104774 + (0 - v_[664]) * 0.025713;
+ v_[39] = v_[214] * v_[620] + v_[205] * v_[430] + v_[189] * v_[777] + v_[174] * v_[477];
+ v_[378] = v_[669] * 0.881 + (0 - v_[664]) * 0.1104774 + v_[662] * -0.0004405;
+ v_[214] = v_[214] * v_[307] + v_[378] * v_[477] + v_[665] * x_in[35];
+ v_[108] = 0 - v_[378];
+ v_[205] = v_[205] * v_[307] + v_[108] * v_[777] - v_[663] * x_in[35];
+ v_[800] = 0.0066066 + v_[11] * -0.007418 + v_[12] * 0.002735;
+ v_[113] = 0.0379382432 + (0 - v_[11]) * 0.084376 + (0 - v_[12]) * -0.007418;
+ v_[802] = v_[11] * -0.000102;
+ v_[799] = (0 - v_[12]) * 2.1e-05;
+ v_[375] = v_[802] + v_[799];
+ v_[375] = v_[39] + v_[214] * v_[162] + v_[205] * v_[168] + v_[800] * v_[734] + v_[113] * v_[514] + v_[375] * v_[423] + v_[375] * v_[423];
+ v_[780] = 0.25168 + (0 - v_[11]) * 0.47422804 + v_[12] * 0.0825825;
+ v_[795] = v_[214] * v_[5] + v_[205] * v_[8] + v_[780] * v_[514] + v_[667] * x_in[34];
+ v_[35] = 0 - v_[780];
+ v_[369] = v_[214] * v_[9] + v_[205] * v_[5] + v_[35] * v_[734] - v_[666] * x_in[34];
+ jac[393] = v_[795] * v_[20] + v_[369] * v_[22] + -0.1466472 * v_[590];
+ v_[664] = v_[669] * -0.1104774 + v_[664] * 0.026409;
+ v_[662] = v_[669] * -0.0004405 + v_[662] * 0.000468;
+ jac[645] = v_[663] * v_[285] + v_[665] * v_[620] + v_[664] * v_[237] + v_[662] * v_[777] + v_[39];
+ v_[670] = v_[670] * -0.35 + v_[664] * v_[5] + v_[662] * v_[8] - 0.0379382432 + v_[11] * 0.087136 + v_[12] * -0.007418;
+ v_[39] = v_[664] * v_[16] + v_[662] * v_[5] + 0.0066066 + v_[11] * -0.007418 + v_[12] * 0.005495;
+ jac[627] = v_[666] * v_[367] + v_[667] * v_[634] + v_[670] * v_[330] + v_[39] * v_[734] + v_[375];
+ jac[933] = v_[671] * 0.08 + v_[670] * v_[11] + v_[39] * v_[12] + 0.011033;
+ v_[671] = v_[670] * v_[12] + v_[39] * v_[6] - 0.022734;
+ v_[375] = v_[375] + v_[795] * v_[159] + v_[369] * v_[2] + 0.022734 * v_[374] + 0.009466 * v_[590] + 3.6e-05 * v_[635] + 3.6e-05 * v_[635] + v_[671] * x_in[33];
+ v_[792] = v_[795] * v_[3] + v_[369] * v_[6] + 0.1466472 * v_[374] - v_[672] * x_in[33];
+ jac[411] = v_[233] * v_[0] + v_[792] * v_[96];
+ jac[429] = v_[233] * v_[96] + v_[792] * v_[104];
+ v_[669] = (0 - v_[669]) * 8.81e-05;
+ v_[108] = v_[252] * v_[283] + v_[108] * v_[430] + v_[189] * v_[307] + v_[669] * v_[777] + v_[669] * v_[777] + v_[662] * x_in[35];
+ v_[669] = v_[246] * v_[283] + v_[378] * v_[620] + v_[174] * v_[307] + v_[669] * v_[477] + v_[669] * v_[477] - v_[664] * x_in[35];
+ v_[378] = (0 - v_[11]) * 2.1e-05 + v_[12] * -0.000102;
+ v_[799] = 0 - v_[799];
+ v_[799] = v_[235] * -0.35 + v_[108] * v_[5] + v_[669] * v_[8] + v_[35] * v_[366] + v_[800] * v_[423] + v_[378] * v_[514] + v_[799] * v_[734] + v_[799] * v_[734] + v_[39] * x_in[34];
+ v_[802] = 0 - v_[802];
+ v_[802] = v_[108] * v_[16] + v_[669] * v_[5] + v_[780] * v_[634] + v_[113] * v_[423] + v_[378] * v_[734] + v_[802] * v_[514] + v_[802] * v_[514] - v_[670] * x_in[34];
+ v_[378] = jac[951] + v_[666] * v_[159] + v_[667] * v_[2] - 5.1e-05;
+ v_[780] = v_[799] * v_[12] + v_[802] * v_[6] + -0.1466472 * v_[527] + -5.1e-05 * v_[374] + 0.009466 * v_[635] + -3.6e-05 * v_[590] + -3.6e-05 * v_[590] - v_[378] * x_in[33];
+ jac[285] = 0 - (v_[672] * v_[89] + v_[233] * x_in[22] + v_[375] * x_in[19] + v_[233] * x_in[20] * -0.3735 - (v_[673] * v_[149] + v_[792] * x_in[23]) + v_[792] * x_in[19] * -0.3735 + v_[792] * x_in[18] * 0.207 - v_[780] * x_in[20]) * v_[193] + (v_[672] * v_[149] + v_[673] * v_[89] + v_[233] * x_in[23] + v_[792] * x_in[22] + v_[375] * x_in[20] + v_[780] * x_in[19] + v_[233] * x_in[19] * 0.3735 + v_[233] * x_in[18] * -0.207 + v_[792] * x_in[20] * -0.3735) * v_[619];
+ jac[357] = v_[233] * v_[227] + v_[792] * v_[158] + v_[375] * v_[0] + v_[780] * v_[96];
+ v_[113] = v_[168] * 0.881 + 0.0004405;
+ v_[35] = v_[162] * -0.881;
+ v_[800] = v_[35] - 0.1104774;
+ v_[174] = v_[113] * v_[777] + v_[800] * v_[477];
+ v_[246] = v_[174] + -0.0825825 * v_[734] + -0.47422804 * v_[514];
+ v_[189] = v_[246] + v_[688] * x_in[33];
+ v_[252] = 0 - v_[113];
+ v_[35] = 0 - v_[35] + 0.1104774;
+ v_[796] = v_[162] * 8.81e-05;
+ v_[114] = v_[168] * 8.81e-05;
+ v_[419] = (0 - v_[162]) * -0.0004405;
+ v_[136] = (0 - v_[168]) * 0.1104774;
+ v_[127] = v_[419] + v_[136];
+ v_[127] = v_[252] * v_[620] + v_[35] * v_[430] + v_[796] * v_[777] + v_[114] * v_[477] + v_[127] * v_[307] + v_[127] * v_[307];
+ v_[252] = v_[252] * v_[307] + v_[684] * x_in[35];
+ v_[35] = v_[35] * v_[307] - v_[683] * x_in[35];
+ v_[118] = v_[127] + v_[252] * v_[162] + v_[35] * v_[168] + 0.0825825 * v_[634] + 0.47422804 * v_[366] + 0.000102 * v_[734] + 2.1e-05 * v_[514];
+ v_[146] = v_[252] * v_[5] + v_[35] * v_[8] + 0.0825825 * v_[423] + v_[686] * x_in[34];
+ v_[145] = v_[252] * v_[9] + v_[35] * v_[5] + 0.47422804 * v_[423] - v_[685] * x_in[34];
+ jac[394] = v_[146] * v_[20] + v_[145] * v_[22];
+ v_[144] = v_[168] * 8.81e-05;
+ v_[143] = v_[162] * -8.81e-05;
+ jac[646] = v_[683] * v_[285] + v_[684] * v_[620] + v_[144] * v_[237] + v_[143] * v_[777] + v_[127];
+ v_[127] = v_[144] * v_[5] + v_[143] * v_[8] + 2.1e-05;
+ v_[237] = v_[144] * v_[16] + v_[143] * v_[5] - 0.000102;
+ jac[628] = v_[685] * v_[367] + v_[686] * v_[634] + v_[127] * v_[330] + v_[237] * v_[734] + v_[118];
+ jac[934] = v_[127] * v_[11] + v_[237] * v_[12];
+ v_[330] = v_[127] * v_[12] + v_[237] * v_[6];
+ v_[118] = v_[118] + v_[146] * v_[159] + v_[145] * v_[2] + v_[330] * x_in[33];
+ v_[814] = v_[146] * v_[3] + v_[145] * v_[6];
+ jac[412] = v_[189] * v_[0] + v_[814] * v_[96];
+ jac[430] = v_[189] * v_[96] + v_[814] * v_[104];
+ v_[815] = v_[162] * 0.1104774 + v_[168] * -0.0004405 + 0.025941;
+ v_[136] = v_[113] * v_[283] + v_[796] * v_[307] + v_[815] * v_[477] + v_[136] * v_[777] + v_[136] * v_[777] + v_[143] * x_in[35];
+ v_[815] = v_[800] * v_[283] + v_[114] * v_[307] + v_[815] * v_[777] + v_[419] * v_[477] + v_[419] * v_[477] - v_[144] * x_in[35];
+ v_[174] = v_[174] * -0.35 + v_[136] * v_[5] + v_[815] * v_[8] + -0.0825825 * v_[288] + 0.000102 * v_[423] + 0.081641 * v_[514] + 0.007418 * v_[734] + 0.007418 * v_[734] + v_[237] * x_in[34];
+ v_[288] = v_[136] * v_[16] + v_[815] * v_[5] + -0.47422804 * v_[288] + 2.1e-05 * v_[423] + 0.081641 * v_[734] + -0.007418 * v_[514] + -0.007418 * v_[514] - v_[127] * x_in[34];
+ jac[952] = jac[970] + v_[683] * v_[162] + v_[684] * v_[168] + 0.089871;
+ v_[419] = jac[952] + v_[685] * v_[159] + v_[686] * v_[2];
+ v_[114] = v_[174] * v_[12] + v_[288] * v_[6] - v_[419] * x_in[33];
+ jac[286] = 0 - (v_[189] * x_in[22] + v_[118] * x_in[19] + v_[189] * x_in[20] * -0.3735 - (v_[688] * v_[149] + v_[814] * x_in[23]) + v_[814] * x_in[19] * -0.3735 + v_[814] * x_in[18] * 0.207 - v_[114] * x_in[20]) * v_[193] + (v_[688] * v_[89] + v_[189] * x_in[23] + v_[814] * x_in[22] + v_[118] * x_in[20] + v_[114] * x_in[19] + v_[189] * x_in[19] * 0.3735 + v_[189] * x_in[18] * -0.207 + v_[814] * x_in[20] * -0.3735) * v_[619];
+ jac[358] = v_[189] * v_[227] + v_[814] * v_[158] + v_[118] * v_[0] + v_[114] * v_[96];
+ v_[800] = 0.0004405 * v_[777] + -0.1104774 * v_[477];
+ v_[796] = v_[800] + v_[701] * x_in[33];
+ v_[430] = -0.0004405 * v_[620] + 0.1104774 * v_[430];
+ jac[647] = 0.1104774 * v_[285] + 0.0004405 * v_[620] + v_[430];
+ v_[285] = -0.0004405 * v_[307] + 0.0004405 * x_in[35];
+ v_[307] = 0.1104774 * v_[307] - 0.1104774 * x_in[35];
+ v_[430] = v_[430] + v_[285] * v_[162] + v_[307] * v_[168];
+ jac[629] = v_[698] * v_[367] + v_[699] * v_[634] + v_[430];
+ v_[367] = v_[285] * v_[5] + v_[307] * v_[8] + v_[699] * x_in[34];
+ v_[9] = v_[285] * v_[9] + v_[307] * v_[5] - v_[698] * x_in[34];
+ jac[395] = v_[367] * v_[20] + v_[9] * v_[22];
+ v_[430] = v_[430] + v_[367] * v_[159] + v_[9] * v_[2];
+ v_[3] = v_[367] * v_[3] + v_[9] * v_[6];
+ jac[413] = v_[796] * v_[0] + v_[3] * v_[96];
+ jac[431] = v_[796] * v_[96] + v_[3] * v_[104];
+ v_[477] = 0.0004405 * v_[283] + 0.025941 * v_[477];
+ v_[283] = -0.1104774 * v_[283] + 0.025941 * v_[777];
+ v_[8] = v_[800] * -0.35 + v_[477] * v_[5] + v_[283] * v_[8];
+ v_[16] = v_[477] * v_[16] + v_[283] * v_[5];
+ v_[2] = jac[953] + v_[698] * v_[159] + v_[699] * v_[2];
+ v_[6] = v_[8] * v_[12] + v_[16] * v_[6] - v_[2] * x_in[33];
+ jac[287] = 0 - (v_[796] * x_in[22] + v_[430] * x_in[19] + v_[796] * x_in[20] * -0.3735 - (v_[701] * v_[149] + v_[3] * x_in[23]) + v_[3] * x_in[19] * -0.3735 + v_[3] * x_in[18] * 0.207 - v_[6] * x_in[20]) * v_[193] + (v_[701] * v_[89] + v_[796] * x_in[23] + v_[3] * x_in[22] + v_[430] * x_in[20] + v_[6] * x_in[19] + v_[796] * x_in[19] * 0.3735 + v_[796] * x_in[18] * -0.207 + v_[3] * x_in[20] * -0.3735) * v_[619];
+ jac[359] = v_[796] * v_[227] + v_[3] * v_[158] + v_[430] * v_[0] + v_[6] * v_[96];
+ v_[227] = sin(x_in[16]);
+ v_[619] = cos(x_in[16]);
+ jac[288] = 0 - (v_[1] * v_[660] + v_[21] * v_[368] + v_[98] * v_[109] + v_[766] * v_[75] + v_[471] * v_[590] - (v_[19] * v_[150] + v_[759] * v_[527]) + (v_[19] * v_[298] + v_[759] * v_[635]) * 0.08 - (v_[179] + v_[100] * x_in[51] + v_[469] * v_[374])) * v_[227] + (0 - (v_[1] * v_[148] + v_[19] * v_[368] + v_[759] * v_[75]) - (v_[21] * v_[150] + v_[766] * v_[527]) + (v_[21] * v_[298] + v_[766] * v_[635]) * 0.08 - (v_[476] + v_[100] * v_[109] + v_[98] * x_in[51] + v_[469] * v_[590] + v_[471] * v_[374])) * v_[619];
+ jac[289] = 0 - (v_[158] * v_[660] + v_[96] * v_[476] + v_[173] * v_[368] + v_[637] * v_[109] + v_[34] * v_[75] + v_[636] * v_[590] - (v_[172] * v_[150] + v_[621] * v_[527]) + (v_[0] * v_[148] + v_[172] * v_[298] + v_[621] * v_[635]) * 0.08 - (v_[229] * x_in[51] + v_[303] * v_[374])) * v_[227] + (0 - (v_[158] * v_[148] + v_[172] * v_[368] + v_[621] * v_[75]) - (v_[173] * v_[150] + v_[34] * v_[527]) + (v_[0] * v_[660] + v_[173] * v_[298] + v_[34] * v_[635]) * 0.08 - (v_[96] * v_[179] + v_[229] * v_[109] + v_[637] * x_in[51] + v_[303] * v_[590] + v_[636] * v_[374])) * v_[619];
+ jac[290] = 0 - (v_[268] * v_[660] + v_[272] * v_[476] + v_[281] * v_[368] + v_[284] * v_[109] + v_[198] * v_[75] + v_[289] * v_[590] - (0.207 * v_[148] + v_[280] * v_[150] + v_[186] * v_[527]) + (v_[96] * v_[148] + v_[280] * v_[298] + v_[186] * v_[635]) * 0.08 - (v_[323] * x_in[51] + v_[498] * v_[374])) * v_[227] + (0 - (v_[268] * v_[148] + v_[280] * v_[368] + v_[186] * v_[75]) - (0.207 * v_[660] + v_[281] * v_[150] + v_[198] * v_[527]) + (v_[96] * v_[660] + v_[281] * v_[298] + v_[198] * v_[635]) * 0.08 - (v_[272] * v_[179] + v_[323] * v_[109] + v_[284] * x_in[51] + v_[498] * v_[590] + v_[289] * v_[374])) * v_[619];
+ jac[291] = 0 - (v_[363] * v_[368] + v_[291] * v_[109] + v_[183] * v_[75] + v_[478] * v_[590] - (v_[148] + v_[362] * v_[150] + v_[194] * v_[527]) + (v_[362] * v_[298] + v_[194] * v_[635]) * 0.08 - (v_[110] * x_in[51] + v_[745] * v_[374])) * v_[227] + (0 - (v_[362] * v_[368] + v_[194] * v_[75]) - (v_[660] + v_[363] * v_[150] + v_[183] * v_[527]) + (v_[363] * v_[298] + v_[183] * v_[635]) * 0.08 - (v_[110] * v_[109] + v_[291] * x_in[51] + v_[745] * v_[590] + v_[478] * v_[374])) * v_[619];
+ jac[292] = 0 - (v_[96] * v_[660] + v_[407] * v_[368] + v_[28] * v_[109] + v_[181] * v_[75] + v_[404] * v_[590] - (v_[406] * v_[150] + v_[184] * v_[527]) + (v_[406] * v_[298] + v_[184] * v_[635]) * 0.08 - (v_[433] * x_in[51] + v_[783] * v_[374])) * v_[227] + (0 - (v_[96] * v_[148] + v_[406] * v_[368] + v_[184] * v_[75]) - (v_[407] * v_[150] + v_[181] * v_[527]) + (v_[407] * v_[298] + v_[181] * v_[635]) * 0.08 - (v_[433] * v_[109] + v_[28] * x_in[51] + v_[783] * v_[590] + v_[404] * v_[374])) * v_[619];
+ jac[293] = 0 - (v_[104] * v_[660] + v_[467] * v_[368] + v_[794] * v_[109] + v_[798] * v_[75] + v_[464] * v_[590] - (v_[466] * v_[150] + v_[797] * v_[527]) + (v_[466] * v_[298] + v_[797] * v_[635]) * 0.08 - (v_[493] * x_in[51] + v_[805] * v_[374])) * v_[227] + (0 - (v_[104] * v_[148] + v_[466] * v_[368] + v_[797] * v_[75]) - (v_[467] * v_[150] + v_[798] * v_[527]) + (v_[467] * v_[298] + v_[798] * v_[635]) * 0.08 - (v_[493] * v_[109] + v_[794] * x_in[51] + v_[805] * v_[590] + v_[464] * v_[374])) * v_[619];
+ jac[303] = 0 - (v_[667] * v_[368] + v_[39] * v_[109] + v_[369] * v_[75] + v_[802] * v_[590] - (v_[666] * v_[150] + v_[795] * v_[527]) + (v_[666] * v_[298] + v_[795] * v_[635]) * 0.08 - (v_[179] + v_[670] * x_in[51] + v_[799] * v_[374])) * v_[227] + (0 - (v_[666] * v_[368] + v_[795] * v_[75]) - (v_[667] * v_[150] + v_[369] * v_[527]) + (v_[667] * v_[298] + v_[369] * v_[635]) * 0.08 - (v_[476] + v_[670] * v_[109] + v_[39] * x_in[51] + v_[799] * v_[590] + v_[802] * v_[374])) * v_[619];
+ jac[304] = 0 - (v_[686] * v_[368] + v_[237] * v_[109] + v_[145] * v_[75] + v_[288] * v_[590] - (v_[685] * v_[150] + v_[146] * v_[527]) + (v_[685] * v_[298] + v_[146] * v_[635]) * 0.08 - (v_[127] * x_in[51] + v_[174] * v_[374])) * v_[227] + (0 - (v_[685] * v_[368] + v_[146] * v_[75]) - (v_[686] * v_[150] + v_[145] * v_[527]) + (v_[686] * v_[298] + v_[145] * v_[635]) * 0.08 - (v_[127] * v_[109] + v_[237] * x_in[51] + v_[174] * v_[590] + v_[288] * v_[374])) * v_[619];
+ jac[305] = 0 - (v_[699] * v_[368] + v_[9] * v_[75] + v_[16] * v_[590] - (v_[698] * v_[150] + v_[367] * v_[527]) + (v_[698] * v_[298] + v_[367] * v_[635]) * 0.08 - v_[8] * v_[374]) * v_[227] + (0 - (v_[698] * v_[368] + v_[367] * v_[75]) - (v_[699] * v_[150] + v_[9] * v_[527]) + (v_[699] * v_[298] + v_[9] * v_[635]) * 0.08 - (v_[8] * v_[590] + v_[16] * v_[374])) * v_[619];
+ v_[619] = sin(x_in[17]);
+ v_[227] = cos(x_in[17]);
+ jac[306] = 0 - (v_[4] * v_[239] + v_[7] * v_[593] + v_[11] * v_[180] + v_[12] * v_[472] + v_[14] * v_[365] + v_[18] * v_[287] + v_[17] * v_[468] + v_[13] * v_[328] + v_[769] * v_[634] + v_[697] * v_[366] + v_[520] * v_[734] + v_[99] * v_[514] + (v_[14] * v_[364] + v_[769] * v_[423]) * 0.35) * v_[619] + (v_[4] * v_[593] + v_[11] * v_[472] + v_[18] * v_[365] + v_[13] * v_[468] + v_[697] * v_[634] + v_[99] * v_[734] - (v_[7] * v_[239] + v_[14] * v_[287] + v_[769] * v_[366]) + (v_[18] * v_[364] + v_[697] * v_[423]) * 0.35 - (v_[12] * v_[180] + v_[17] * v_[328] + v_[520] * v_[514])) * v_[227];
+ jac[307] = 0 - (v_[160] * v_[239] + v_[161] * v_[593] + v_[164] * v_[180] + v_[165] * v_[472] + v_[167] * v_[365] + v_[171] * v_[287] + v_[170] * v_[468] + v_[166] * v_[328] + v_[650] * v_[634] + v_[338] * v_[366] + v_[600] * v_[734] + v_[228] * v_[514] + (v_[0] * v_[239] + v_[167] * v_[364] + v_[650] * v_[423]) * 0.35) * v_[619] + (v_[160] * v_[593] + v_[164] * v_[472] + v_[171] * v_[365] + v_[166] * v_[468] + v_[338] * v_[634] + v_[228] * v_[734] - (v_[161] * v_[239] + v_[167] * v_[287] + v_[650] * v_[366]) + (v_[0] * v_[593] + v_[171] * v_[364] + v_[338] * v_[423]) * 0.35 - (v_[165] * v_[180] + v_[170] * v_[328] + v_[600] * v_[514])) * v_[227];
+ jac[308] = 0 - (v_[269] * v_[239] + v_[270] * v_[593] + v_[273] * v_[180] + v_[274] * v_[472] + v_[276] * v_[365] + v_[279] * v_[287] + v_[278] * v_[468] + v_[275] * v_[328] + v_[240] * v_[634] + v_[220] * v_[366] + v_[185] * v_[734] + v_[322] * v_[514] + (v_[96] * v_[239] + v_[276] * v_[364] + v_[240] * v_[423]) * 0.35) * v_[619] + (v_[269] * v_[593] + v_[273] * v_[472] + v_[279] * v_[365] + v_[275] * v_[468] + v_[220] * v_[634] + v_[322] * v_[734] - (v_[270] * v_[239] + v_[276] * v_[287] + v_[240] * v_[366]) + (v_[96] * v_[593] + v_[279] * v_[364] + v_[220] * v_[423]) * 0.35 - (v_[274] * v_[180] + v_[278] * v_[328] + v_[185] * v_[514])) * v_[227];
+ jac[309] = 0 - (v_[20] * v_[239] + v_[22] * v_[593] + v_[359] * v_[365] + v_[361] * v_[287] + v_[241] * v_[468] + v_[163] * v_[328] + v_[36] * v_[634] + v_[678] * v_[366] + v_[765] * v_[734] + v_[360] * v_[514] + (v_[359] * v_[364] + v_[36] * v_[423]) * 0.35) * v_[619] + (v_[20] * v_[593] + v_[361] * v_[365] + v_[163] * v_[468] + v_[678] * v_[634] + v_[360] * v_[734] - (v_[22] * v_[239] + v_[359] * v_[287] + v_[36] * v_[366]) + (v_[361] * v_[364] + v_[678] * v_[423]) * 0.35 - (v_[241] * v_[328] + v_[765] * v_[514])) * v_[227];
+ jac[310] = 0 - (v_[400] * v_[239] + v_[401] * v_[593] + v_[403] * v_[365] + v_[405] * v_[287] + v_[787] * v_[468] + v_[788] * v_[328] + v_[187] * v_[634] + v_[107] * v_[366] + v_[176] * v_[734] + v_[402] * v_[514] + (v_[403] * v_[364] + v_[187] * v_[423]) * 0.35) * v_[619] + (v_[400] * v_[593] + v_[405] * v_[365] + v_[788] * v_[468] + v_[107] * v_[634] + v_[402] * v_[734] - (v_[401] * v_[239] + v_[403] * v_[287] + v_[187] * v_[366]) + (v_[405] * v_[364] + v_[107] * v_[423]) * 0.35 - (v_[787] * v_[328] + v_[176] * v_[514])) * v_[227];
+ jac[311] = 0 - (v_[460] * v_[239] + v_[461] * v_[593] + v_[463] * v_[365] + v_[465] * v_[287] + v_[809] * v_[468] + v_[810] * v_[328] + v_[37] * v_[634] + v_[479] * v_[366] + v_[793] * v_[734] + v_[462] * v_[514] + (v_[463] * v_[364] + v_[37] * v_[423]) * 0.35) * v_[619] + (v_[460] * v_[593] + v_[465] * v_[365] + v_[810] * v_[468] + v_[479] * v_[634] + v_[462] * v_[734] - (v_[461] * v_[239] + v_[463] * v_[287] + v_[37] * v_[366]) + (v_[465] * v_[364] + v_[479] * v_[423]) * 0.35 - (v_[809] * v_[328] + v_[793] * v_[514])) * v_[227];
+ jac[321] = 0 - (v_[11] * v_[180] + v_[12] * v_[472] + v_[663] * v_[365] + v_[665] * v_[287] + v_[664] * v_[468] + v_[662] * v_[328] + v_[214] * v_[634] + v_[205] * v_[366] + v_[108] * v_[734] + v_[669] * v_[514] + (v_[663] * v_[364] + v_[214] * v_[423]) * 0.35) * v_[619] + (v_[11] * v_[472] + v_[665] * v_[365] + v_[662] * v_[468] + v_[205] * v_[634] + v_[669] * v_[734] - (v_[663] * v_[287] + v_[214] * v_[366]) + (v_[665] * v_[364] + v_[205] * v_[423]) * 0.35 - (v_[12] * v_[180] + v_[664] * v_[328] + v_[108] * v_[514])) * v_[227];
+ jac[322] = 0 - (v_[683] * v_[365] + v_[684] * v_[287] + v_[144] * v_[468] + v_[143] * v_[328] + v_[252] * v_[634] + v_[35] * v_[366] + v_[136] * v_[734] + v_[815] * v_[514] + (v_[239] + v_[683] * v_[364] + v_[252] * v_[423]) * 0.35) * v_[619] + (v_[684] * v_[365] + v_[143] * v_[468] + v_[35] * v_[634] + v_[815] * v_[734] - (v_[683] * v_[287] + v_[252] * v_[366]) + (v_[593] + v_[684] * v_[364] + v_[35] * v_[423]) * 0.35 - (v_[144] * v_[328] + v_[136] * v_[514])) * v_[227];
+ jac[323] = 0 - (0.1104774 * v_[365] + 0.0004405 * v_[287] + v_[285] * v_[634] + v_[307] * v_[366] + v_[477] * v_[734] + v_[283] * v_[514] + (0.1104774 * v_[364] + v_[285] * v_[423]) * 0.35) * v_[619] + (0.0004405 * v_[365] + v_[307] * v_[634] + v_[283] * v_[734] - (0.1104774 * v_[287] + v_[285] * v_[366]) + (0.0004405 * v_[364] + v_[307] * v_[423]) * 0.35 - v_[477] * v_[514]) * v_[227];
+ v_[15] = v_[625] * 0.08 + v_[469] * v_[11] + v_[471] * v_[12] + v_[775] * v_[408] + v_[411] * v_[75] + v_[199] * v_[635] + v_[15] * v_[590] + v_[422] * v_[374] + v_[422] * v_[374];
+ jac[594] = v_[102] * v_[617] + v_[103] * v_[408] + v_[412] * v_[286] + v_[101] * v_[635] + v_[15];
+ v_[247] = v_[561] * -0.08 + v_[202] * v_[29] + v_[69] * v_[25] + v_[93] * v_[72] + v_[719] * v_[384] + v_[382] * v_[746] + v_[247] * v_[506] + v_[196] * v_[317] + v_[196] * v_[317];
+ jac[540] = v_[116] * v_[201] + v_[117] * v_[72] + v_[740] * v_[570] + v_[115] * v_[746] + v_[247];
+ v_[54] = v_[705] * 0.08 + v_[586] * v_[50] + v_[432] * v_[51] + v_[156] * v_[679] + v_[588] * v_[356] + v_[485] * v_[564] + v_[54] * v_[659] + v_[446] * v_[581] + v_[446] * v_[581];
+ jac[486] = v_[125] * v_[706] + v_[126] * v_[679] + v_[489] * v_[427] + v_[124] * v_[564] + v_[54];
+ v_[77] = v_[692] * -0.08 + v_[393] * v_[68] + v_[452] * v_[64] + v_[689] * v_[644] + v_[646] * v_[141] + v_[657] * v_[676] + v_[77] * v_[704] + v_[394] * v_[708] + v_[394] * v_[708];
+ jac[324] = 2.0678571 * x_in[23] + -0.0053433 * x_in[22] + 0.00571 * x_in[20] + 0.190812 * x_in[19] + v_[15] + v_[770] * v_[97] + v_[409] * v_[1] + v_[748] * v_[106] + v_[511] * v_[24] + v_[247] * -1 + v_[54] + v_[153] * v_[120] + v_[651] * v_[40] + v_[690] * v_[129] + v_[643] * v_[63] + v_[77] * -1;
+ jac[432] = v_[134] * v_[695] + v_[135] * v_[644] + v_[142] * v_[641] + v_[133] * v_[676] + v_[77];
+ v_[169] = v_[414] + v_[169] + v_[371];
+ v_[169] = v_[27] * 0.08 + v_[303] * v_[11] + v_[636] * v_[12] + v_[710] * v_[408] + v_[333] * v_[75] + v_[438] * v_[635] + v_[302] * v_[590] + v_[169] * v_[374] + v_[169] * v_[374];
+ jac[595] = v_[231] * v_[617] + v_[232] * v_[408] + v_[541] * v_[286] + v_[230] * v_[635] + v_[169];
+ v_[311] = v_[711] + v_[311] + v_[502];
+ v_[311] = v_[320] * -0.08 + v_[343] * v_[29] + v_[373] * v_[25] + v_[605] * v_[72] + v_[260] * v_[384] + v_[425] * v_[746] + v_[733] * v_[506] + v_[311] * v_[317] + v_[311] * v_[317];
+ jac[541] = v_[244] * v_[201] + v_[245] * v_[72] + v_[712] * v_[570] + v_[243] * v_[746] + v_[311];
+ v_[200] = v_[524] + v_[200] + v_[518];
+ v_[200] = v_[674] * 0.08 + v_[544] * v_[50] + v_[626] * v_[51] + v_[76] * v_[679] + v_[536] * v_[356] + v_[534] * v_[564] + v_[543] * v_[659] + v_[200] * v_[581] + v_[200] * v_[581];
+ jac[487] = v_[250] * v_[706] + v_[251] * v_[679] + v_[556] * v_[427] + v_[249] * v_[564] + v_[200];
+ v_[221] = v_[696] + v_[221] + v_[687];
+ v_[221] = v_[349] * -0.08 + v_[85] * v_[68] + v_[610] * v_[64] + v_[261] * v_[644] + v_[84] * v_[141] + v_[352] * v_[676] + v_[137] * v_[704] + v_[221] * v_[708] + v_[221] * v_[708];
+ jac[325] = 1.1915559 * x_in[22] + -4.847485 * x_in[20] + -0.012668 * x_in[19] + -0.190812 * x_in[18] + -0.190812 * x_in[18] + v_[169] + v_[572] * v_[97] + v_[437] * v_[1] + v_[741] * v_[106] + v_[573] * v_[24] + v_[311] * -1 + v_[200] + v_[73] * v_[120] + v_[139] * v_[40] + v_[262] * v_[129] + v_[709] * v_[63] + v_[221] * -1;
+ jac[433] = v_[257] * v_[695] + v_[258] * v_[644] + v_[154] * v_[641] + v_[256] * v_[676] + v_[221];
+ v_[277] = v_[197] + v_[277] + v_[726];
+ v_[277] = v_[112] * 0.08 + v_[498] * v_[11] + v_[289] * v_[12] + v_[331] * v_[408] + v_[332] * v_[75] + v_[597] * v_[635] + v_[52] * v_[590] + v_[277] * v_[374] + v_[277] * v_[374];
+ jac[596] = v_[325] * v_[617] + v_[326] * v_[408] + v_[191] * v_[286] + v_[324] * v_[635] + v_[277];
+ v_[46] = v_[238] + v_[46] + v_[217];
+ v_[46] = v_[316] * -0.08 + v_[574] * v_[29] + v_[743] * v_[25] + v_[314] * v_[72] + v_[566] * v_[384] + v_[351] * v_[746] + v_[416] * v_[506] + v_[46] * v_[317] + v_[46] * v_[317];
+ jac[542] = v_[335] * v_[201] + v_[336] * v_[72] + v_[612] * v_[570] + v_[334] * v_[746] + v_[46];
+ v_[301] = v_[379] + v_[301] + v_[424];
+ v_[301] = v_[211] * 0.08 + v_[598] * v_[50] + v_[313] * v_[51] + v_[381] * v_[679] + v_[383] * v_[356] + v_[703] * v_[564] + v_[549] * v_[659] + v_[301] * v_[581] + v_[301] * v_[581];
+ jac[488] = v_[341] * v_[706] + v_[342] * v_[679] + v_[522] * v_[427] + v_[340] * v_[564] + v_[301];
+ v_[315] = v_[397] + v_[315] + v_[86];
+ v_[315] = v_[533] * -0.08 + v_[613] * v_[68] + v_[454] * v_[64] + v_[609] * v_[644] + v_[265] * v_[141] + v_[512] * v_[676] + v_[553] * v_[704] + v_[315] * v_[708] + v_[315] * v_[708];
+ jac[326] = 1.1915559 * x_in[23] + 0.012668 * x_in[20] + 4.374212 * x_in[19] + -0.00571 * x_in[18] + -0.00571 * x_in[18] + v_[277] + v_[297] * v_[97] + v_[10] * v_[1] + v_[299] * v_[106] + v_[43] * v_[24] + v_[46] * -1 + v_[301] + v_[486] * v_[120] + v_[49] * v_[40] + v_[453] * v_[129] + v_[91] * v_[63] + v_[315] * -1;
+ jac[434] = v_[347] * v_[695] + v_[348] * v_[644] + v_[596] * v_[641] + v_[346] * v_[676] + v_[315];
+ v_[478] = v_[30] * 0.08 + v_[745] * v_[11] + v_[478] * v_[12] + 0.1466472 * v_[590];
+ jac[597] = v_[387] * v_[408] + v_[121] * v_[286] + v_[290] * v_[635] + v_[478];
+ v_[259] = v_[727] * -0.08 + v_[569] * v_[29] + v_[259] * v_[25] + -0.1466472 * v_[506];
+ jac[543] = v_[388] * v_[72] + v_[300] * v_[570] + v_[259];
+ v_[74] = v_[675] * 0.08 + v_[680] * v_[50] + v_[74] * v_[51] + 0.1466472 * v_[659];
+ jac[489] = v_[389] * v_[679] + v_[487] * v_[427] + v_[490] * v_[564] + v_[74];
+ v_[310] = v_[391] * -0.08 + v_[455] * v_[68] + v_[310] * v_[64] + -0.1466472 * v_[704];
+ jac[327] = 2.0678571 * x_in[20] + -0.0053433 * x_in[19] + v_[478] + v_[415] * v_[97] + v_[234] * v_[1] + v_[560] * v_[106] + v_[599] * v_[24] + v_[259] * -1 + v_[74] + v_[525] * v_[120] + v_[604] * v_[40] + v_[707] * v_[129] + v_[700] * v_[63] + v_[310] * -1;
+ jac[435] = v_[390] * v_[644] + v_[627] * v_[641] + v_[94] * v_[676] + v_[310];
+ v_[782] = v_[481] * 0.08 + v_[783] * v_[11] + v_[404] * v_[12] + v_[242] * v_[408] + v_[790] * v_[75] + v_[784] * v_[635] + v_[782] * v_[590] + v_[786] * v_[374] + v_[786] * v_[374];
+ jac[598] = v_[435] * v_[617] + v_[436] * v_[408] + v_[779] * v_[286] + v_[434] * v_[635] + v_[782];
+ v_[60] = v_[521] * -0.08 + v_[58] * v_[29] + v_[203] * v_[25] + v_[182] * v_[72] + v_[304] * v_[384] + v_[376] * v_[746] + v_[60] * v_[506] + v_[44] * v_[317] + v_[44] * v_[317];
+ jac[544] = v_[440] * v_[201] + v_[441] * v_[72] + v_[329] * v_[570] + v_[439] * v_[746] + v_[60];
+ v_[81] = v_[95] * 0.08 + v_[207] * v_[50] + v_[420] * v_[51] + v_[447] * v_[679] + v_[584] * v_[356] + v_[67] * v_[564] + v_[81] * v_[659] + v_[624] * v_[581] + v_[624] * v_[581];
+ jac[490] = v_[444] * v_[706] + v_[445] * v_[679] + v_[130] * v_[427] + v_[443] * v_[564] + v_[81];
+ v_[603] = v_[88] * -0.08 + v_[594] * v_[68] + v_[428] * v_[64] + v_[629] * v_[644] + v_[631] * v_[141] + v_[638] * v_[676] + v_[603] * v_[704] + v_[589] * v_[708] + v_[589] * v_[708];
+ jac[328] = -53.433 * x_in[23] + -1.1915559 * x_in[19] + 0.0053433 * x_in[18] + 0.0053433 * x_in[18] + v_[782] + v_[188] * v_[97] + v_[791] * v_[1] + v_[57] * v_[106] + v_[630] * v_[24] + v_[60] * -1 + v_[81] + v_[431] * v_[120] + v_[87] * v_[40] + v_[682] * v_[129] + v_[628] * v_[63] + v_[603] * -1;
+ jac[436] = v_[449] * v_[695] + v_[450] * v_[644] + v_[681] * v_[641] + v_[448] * v_[676] + v_[603];
+ v_[804] = v_[308] * 0.08 + v_[805] * v_[11] + v_[464] * v_[12] + v_[38] * v_[408] + v_[812] * v_[75] + v_[806] * v_[635] + v_[804] * v_[590] + v_[808] * v_[374] + v_[808] * v_[374];
+ jac[599] = v_[495] * v_[617] + v_[496] * v_[408] + v_[801] * v_[286] + v_[494] * v_[635] + v_[804];
+ v_[761] = v_[519] * -0.08 + v_[762] * v_[29] + v_[758] * v_[25] + v_[482] * v_[72] + v_[754] * v_[384] + v_[750] * v_[746] + v_[761] * v_[506] + v_[764] * v_[317] + v_[764] * v_[317];
+ jac[545] = v_[500] * v_[201] + v_[501] * v_[72] + v_[248] * v_[570] + v_[499] * v_[746] + v_[761];
+ v_[721] = v_[208] * 0.08 + v_[722] * v_[50] + v_[480] * v_[51] + v_[385] * v_[679] + v_[729] * v_[356] + v_[723] * v_[564] + v_[721] * v_[659] + v_[725] * v_[581] + v_[725] * v_[581];
+ jac[491] = v_[504] * v_[706] + v_[505] * v_[679] + v_[718] * v_[427] + v_[503] * v_[564] + v_[721];
+ v_[492] = v_[691] * -0.08 + v_[516] * v_[68] + v_[488] * v_[64] + v_[668] * v_[644] + v_[552] * v_[141] + v_[565] * v_[676] + v_[492] * v_[704] + v_[458] * v_[708] + v_[458] * v_[708];
+ jac[329] = 53.433 * x_in[22] + -1.1915559 * x_in[20] + -2.0678571 * x_in[18] + -2.0678571 * x_in[18] + v_[804] + v_[497] * v_[97] + v_[813] * v_[1] + v_[592] * v_[106] + v_[755] * v_[24] + v_[761] * -1 + v_[721] + v_[83] * v_[120] + v_[730] * v_[40] + v_[585] * v_[129] + v_[540] * v_[63] + v_[492] * -1;
+ jac[437] = v_[509] * v_[695] + v_[510] * v_[644] + v_[607] * v_[641] + v_[508] * v_[676] + v_[492];
+ v_[386] = v_[567] * -0.08 + v_[396] * v_[68] + v_[386] * v_[64] + 0.1466472 * v_[141] + 0.022734 * v_[676] + -5.1e-05 * v_[704];
+ jac[330] = v_[532] * v_[129] + v_[648] * v_[63] + v_[386] * -1;
+ jac[438] = v_[530] * v_[695] + v_[531] * v_[644] + v_[399] * v_[641] + v_[529] * v_[676] + v_[386];
+ v_[615] = v_[515] * -0.08 + v_[555] * v_[68] + v_[615] * v_[64];
+ jac[331] = v_[526] * v_[129] + v_[266] * v_[63] + v_[615] * -1;
+ jac[439] = v_[546] * v_[644] + v_[157] * v_[641] + v_[602] * v_[676] + v_[615];
+ v_[78] = v_[539] * -0.08 + v_[70] * v_[68] + v_[78] * v_[64];
+ jac[332] = v_[226] * v_[129] + v_[65] * v_[63] + v_[78] * -1;
+ jac[440] = v_[559] * v_[644] + v_[209] * v_[641] + v_[78];
+ v_[353] = v_[717] * 0.08 + v_[224] * v_[50] + v_[353] * v_[51] + 0.1466472 * v_[356] + -0.022734 * v_[564] + -5.1e-05 * v_[659];
+ jac[333] = v_[353] + v_[216] * v_[120] + v_[736] * v_[40];
+ jac[495] = v_[579] * v_[706] + v_[580] * v_[679] + v_[219] * v_[427] + v_[578] * v_[564] + v_[353];
+ v_[517] = v_[457] * 0.08 + v_[132] * v_[50] + v_[517] * v_[51];
+ jac[334] = v_[517] + v_[225] * v_[120] + v_[747] * v_[40];
+ jac[496] = v_[595] * v_[679] + v_[739] * v_[427] + v_[344] * v_[564] + v_[517];
+ v_[55] = v_[90] * 0.08 + v_[47] * v_[50] + v_[55] * v_[51];
+ jac[335] = v_[55] + v_[737] * v_[120] + v_[42] * v_[40];
+ jac[497] = v_[608] * v_[679] + v_[41] * v_[427] + v_[55];
+ v_[470] = v_[760] * v_[29] + v_[470] * v_[25] + 0.1466472 * v_[384] + -0.022734 * v_[746] + -5.1e-05 * v_[506];
+ jac[336] = v_[757] * v_[24] + v_[470] * -1;
+ jac[552] = v_[623] * v_[201] + v_[56] * v_[570] + v_[622] * v_[746] + v_[470];
+ v_[418] = v_[33] * -0.08 + v_[713] * v_[29] + v_[418] * v_[25];
+ jac[337] = v_[618] * v_[106] + v_[773] * v_[24] + v_[418] * -1;
+ jac[553] = v_[639] * v_[72] + v_[774] * v_[570] + v_[293] * v_[746] + v_[418];
+ v_[111] = v_[410] * -0.08 + v_[31] * v_[29] + v_[111] * v_[25];
+ jac[338] = v_[768] * v_[106] + v_[26] * v_[24] + v_[111] * -1;
+ jac[554] = v_[652] * v_[72] + v_[178] * v_[570] + v_[111];
+ v_[802] = v_[235] * 0.08 + v_[799] * v_[11] + v_[802] * v_[12] + 0.1466472 * v_[75] + 0.022734 * v_[635] + -5.1e-05 * v_[590];
+ jac[339] = v_[802] + v_[233] * v_[97] + v_[792] * v_[1];
+ jac[609] = v_[672] * v_[617] + v_[673] * v_[408] + v_[378] * v_[286] + v_[671] * v_[635] + v_[802];
+ v_[288] = v_[246] * 0.08 + v_[174] * v_[11] + v_[288] * v_[12];
+ jac[340] = v_[288] + v_[189] * v_[97] + v_[814] * v_[1];
+ jac[610] = v_[688] * v_[408] + v_[419] * v_[286] + v_[330] * v_[635] + v_[288];
+ v_[16] = v_[800] * 0.08 + v_[8] * v_[11] + v_[16] * v_[12];
+ jac[341] = v_[16] + v_[796] * v_[97] + v_[3] * v_[1];
+ jac[611] = v_[701] * v_[408] + v_[2] * v_[286] + v_[16];
+ v_[413] = v_[759] * v_[20] + v_[766] * v_[22] + v_[123] * v_[635] + v_[413] * v_[590];
+ v_[716] = v_[576] * v_[29] + v_[571] * v_[25] + v_[677] * v_[746] + v_[716] * v_[506];
+ v_[575] = v_[548] * v_[59] + v_[523] * v_[61] + v_[155] * v_[564] + v_[575] * v_[659];
+ v_[642] = v_[656] * v_[68] + v_[654] * v_[64] + v_[693] * v_[676] + v_[642] * v_[704];
+ jac[360] = -2.0678571 * x_in[21] + 0.473273 * x_in[19] + 0.00571 * x_in[18] + -0.012668 * x_in[20] + -0.012668 * x_in[20] + v_[413] * 0.207 + v_[770] * v_[321] + v_[409] * v_[268] + v_[345] * v_[96] + v_[140] * v_[272] + v_[716] * 0.207 + v_[748] * v_[23] + v_[511] * v_[282] + v_[195] * v_[105] + v_[591] * v_[175] + v_[575] * 0.207 + v_[153] * v_[337] + v_[651] * v_[292] + v_[614] * v_[119] + v_[484] * v_[296] + v_[642] * 0.207 + v_[690] * v_[62] + v_[643] * v_[306] + v_[395] * v_[128] + v_[655] * v_[206];
+ jac[378] = -2.0678571 * x_in[20] + 0.0053433 * x_in[19] + v_[413] + v_[716] * -1 + v_[575] + v_[642] * -1;
+ v_[327] = v_[621] * v_[20] + v_[34] * v_[22] + v_[318] * v_[635] + v_[327] * v_[590];
+ v_[611] = v_[577] * v_[29] + v_[735] * v_[25] + v_[606] * v_[746] + v_[611] * v_[506];
+ v_[513] = v_[557] * v_[59] + v_[79] * v_[61] + v_[80] * v_[564] + v_[513] * v_[659];
+ v_[138] = v_[151] * v_[68] + v_[152] * v_[64] + v_[350] * v_[676] + v_[138] * v_[704];
+ jac[361] = -2.0678571 * x_in[22] + -0.00571 * x_in[19] + -4.847485 * x_in[18] + 0.190812 * x_in[20] + 0.190812 * x_in[20] + v_[327] * 0.207 + v_[572] * v_[321] + v_[437] * v_[268] + v_[370] * v_[96] + v_[475] * v_[272] + v_[611] * 0.207 + v_[741] * v_[23] + v_[573] * v_[282] + v_[210] * v_[105] + v_[744] * v_[175] + v_[513] * 0.207 + v_[73] * v_[337] + v_[139] * v_[292] + v_[507] * v_[119] + v_[661] * v_[296] + v_[138] * 0.207 + v_[262] * v_[62] + v_[709] * v_[306] + v_[694] * v_[128] + v_[263] * v_[206];
+ jac[379] = -1.1915559 * x_in[19] + v_[327] + v_[611] * -1 + v_[513] + v_[138] * -1;
+ v_[756] = v_[186] * v_[20] + v_[198] * v_[22] + v_[177] * v_[635] + v_[756] * v_[590];
+ v_[53] = v_[429] * v_[29] + v_[212] * v_[25] + v_[309] * v_[746] + v_[53] * v_[506];
+ v_[640] = v_[218] * v_[59] + v_[645] * v_[61] + v_[223] * v_[564] + v_[640] * v_[659];
+ v_[147] = v_[547] * v_[68] + v_[551] * v_[64] + v_[538] * v_[676] + v_[147] * v_[704];
+ jac[362] = -0.0053433 * x_in[22] + -1.1915559 * x_in[21] + -0.190812 * x_in[19] + 0.012668 * x_in[18] + v_[756] * 0.207 + v_[297] * v_[321] + v_[10] * v_[268] + v_[649] * v_[96] + v_[474] * v_[272] + v_[53] * 0.207 + v_[299] * v_[23] + v_[43] * v_[282] + v_[483] * v_[105] + v_[122] * v_[175] + v_[640] * 0.207 + v_[486] * v_[337] + v_[49] * v_[292] + v_[66] * v_[119] + v_[528] * v_[296] + v_[147] * 0.207 + v_[453] * v_[62] + v_[91] * v_[306] + v_[213] * v_[128] + v_[563] * v_[206];
+ jac[380] = -1.1915559 * x_in[20] + v_[756] + v_[53] * -1 + v_[640] + v_[147] * -1;
+ v_[183] = v_[194] * v_[20] + v_[183] * v_[22];
+ v_[417] = v_[192] * v_[29] + v_[417] * v_[25];
+ v_[222] = v_[312] * v_[59] + v_[222] * v_[61];
+ v_[355] = v_[562] * v_[68] + v_[355] * v_[64];
+ jac[363] = -53.433 * x_in[22] + 2.0678571 * x_in[18] + 1.1915559 * x_in[20] + 1.1915559 * x_in[20] + v_[183] * 0.207 + v_[415] * v_[321] + v_[234] * v_[268] + v_[271] * v_[96] + v_[473] * v_[272] + v_[417] * 0.207 + v_[560] * v_[23] + v_[599] * v_[282] + v_[48] * v_[105] + v_[294] * v_[175] + v_[222] * 0.207 + v_[525] * v_[337] + v_[604] * v_[292] + v_[295] * v_[119] + v_[456] * v_[296] + v_[355] * 0.207 + v_[707] * v_[62] + v_[700] * v_[306] + v_[392] * v_[128] + v_[451] * v_[206];
+ jac[381] = v_[183] + v_[417] * -1 + v_[222] + v_[355] * -1;
+ v_[789] = v_[184] * v_[20] + v_[181] * v_[22] + v_[358] * v_[635] + v_[789] * v_[590];
+ v_[305] = v_[377] * v_[29] + v_[339] * v_[25] + v_[254] * v_[746] + v_[305] * v_[506];
+ v_[550] = v_[253] * v_[59] + v_[255] * v_[61] + v_[372] * v_[564] + v_[550] * v_[659];
+ v_[632] = v_[647] * v_[68] + v_[633] * v_[64] + v_[380] * v_[676] + v_[632] * v_[704];
+ jac[364] = 53.433 * x_in[21] + 2.0678571 * x_in[19] + 0.0053433 * x_in[20] + 0.0053433 * x_in[20] + v_[789] * 0.207 + v_[188] * v_[321] + v_[791] * v_[268] + v_[781] * v_[96] + v_[785] * v_[272] + v_[305] * 0.207 + v_[57] * v_[23] + v_[630] * v_[282] + v_[190] * v_[105] + v_[491] * v_[175] + v_[550] * 0.207 + v_[431] * v_[337] + v_[87] * v_[292] + v_[82] * v_[119] + v_[702] * v_[296] + v_[632] * 0.207 + v_[682] * v_[62] + v_[628] * v_[306] + v_[601] * v_[128] + v_[658] * v_[206];
+ jac[382] = 53.433 * x_in[20] + v_[789] + v_[305] * -1 + v_[550] + v_[632] * -1;
+ v_[811] = v_[797] * v_[20] + v_[798] * v_[22] + v_[653] * v_[635] + v_[811] * v_[590];
+ v_[753] = v_[749] * v_[29] + v_[752] * v_[25] + v_[204] * v_[746] + v_[753] * v_[506];
+ v_[728] = v_[714] * v_[59] + v_[715] * v_[61] + v_[319] * v_[564] + v_[728] * v_[659];
+ v_[545] = v_[558] * v_[68] + v_[554] * v_[64] + v_[616] * v_[676] + v_[545] * v_[704];
+ jac[365] = -0.0053433 * x_in[19] + -1.1915559 * x_in[18] + v_[811] * 0.207 + v_[497] * v_[321] + v_[813] * v_[268] + v_[803] * v_[96] + v_[807] * v_[272] + v_[753] * 0.207 + v_[592] * v_[23] + v_[755] * v_[282] + v_[763] * v_[105] + v_[542] * v_[175] + v_[728] * 0.207 + v_[83] * v_[337] + v_[730] * v_[292] + v_[720] * v_[119] + v_[724] * v_[296] + v_[545] * 0.207 + v_[585] * v_[62] + v_[540] * v_[306] + v_[459] * v_[128] + v_[568] * v_[206];
+ jac[383] = -53.433 * x_in[19] + v_[811] + v_[753] * -1 + v_[728] + v_[545] * -1;
+ v_[426] = v_[537] * v_[68] + v_[426] * v_[64] + -0.1466472 * v_[704];
+ jac[366] = v_[426] * 0.207 + v_[532] * v_[62] + v_[648] * v_[306] + v_[357] * v_[128] + v_[398] * v_[206];
+ jac[384] = v_[426] * -1;
+ v_[267] = v_[354] * v_[68] + v_[267] * v_[64];
+ jac[367] = v_[267] * 0.207 + v_[526] * v_[62] + v_[266] * v_[306] + v_[535] * v_[128] + v_[264] * v_[206];
+ jac[385] = v_[267] * -1;
+ v_[71] = v_[92] * v_[68] + v_[71] * v_[64];
+ jac[368] = v_[71] * 0.207 + v_[226] * v_[62] + v_[65] * v_[306] + v_[587] * v_[128] + v_[215] * v_[206];
+ jac[369] = jac[387] * 0.207 + v_[216] * v_[337] + v_[736] * v_[292] + v_[731] * v_[119] + v_[732] * v_[296];
+ jac[370] = jac[388] * 0.207 + v_[225] * v_[337] + v_[747] * v_[292] + v_[742] * v_[119] + v_[738] * v_[296];
+ jac[371] = jac[389] * 0.207 + v_[737] * v_[337] + v_[42] * v_[292] + v_[583] * v_[119] + v_[45] * v_[296];
+ jac[386] = v_[71] * -1;
+ v_[442] = v_[751] * v_[29] + v_[442] * v_[25] + -0.1466472 * v_[506];
+ jac[372] = v_[442] * 0.207 + v_[757] * v_[282] + v_[767] * v_[105] + v_[131] * v_[175];
+ jac[390] = v_[442] * -1;
+ v_[772] = v_[771] * v_[29] + v_[772] * v_[25];
+ jac[373] = v_[772] * 0.207 + v_[618] * v_[23] + v_[773] * v_[282] + v_[776] * v_[105] + v_[582] * v_[175];
+ jac[391] = v_[772] * -1;
+ v_[32] = v_[778] * v_[29] + v_[32] * v_[25];
+ jac[374] = v_[32] * 0.207 + v_[768] * v_[23] + v_[26] * v_[282] + v_[421] * v_[105] + v_[236] * v_[175];
+ jac[375] = jac[393] * 0.207 + v_[233] * v_[321] + v_[792] * v_[268] + v_[375] * v_[96] + v_[780] * v_[272];
+ jac[376] = jac[394] * 0.207 + v_[189] * v_[321] + v_[814] * v_[268] + v_[118] * v_[96] + v_[114] * v_[272];
+ jac[377] = jac[395] * 0.207 + v_[796] * v_[321] + v_[3] * v_[268] + v_[430] * v_[96] + v_[6] * v_[272];
+ jac[392] = v_[32] * -1;
+ // dependent variables without operations
+ jac[800] = 0.026181;
+ jac[857] = 0.026181;
+ jac[914] = 0.026181;
+ jac[971] = 0.026181;
+
+
+ return jac_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.h b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.h
new file mode 100644
index 0000000..06af927
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQInverseDynJacReverse.h
@@ -0,0 +1,45 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/math/Derivatives.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQInverseDynJacReverse : public core::Derivatives<54, 18, double>
+{
+public:
+ typedef Eigen::Matrix<double, 18, 54> JAC_TYPE;
+ typedef Eigen::Matrix<double, 54, 1> X_TYPE;
+
+ HyQInverseDynJacReverse()
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ };
+
+ HyQInverseDynJacReverse(const HyQInverseDynJacReverse& other)
+ {
+ jac_.setZero();
+ v_.fill(0.0);
+ }
+
+ virtual ~HyQInverseDynJacReverse(){};
+
+ HyQInverseDynJacReverse* clone() const override { return new HyQInverseDynJacReverse(*this); }
+ JAC_TYPE jacobian(const Eigen::VectorXd& x_in) override;
+
+private:
+ JAC_TYPE jac_;
+ std::array<double, 816> v_;
+};
+
+} /* namespace HyQ */
+} /* namespace models */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.cpp
new file mode 100644
index 0000000..9664502
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.cpp
@@ -0,0 +1,12359 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include "HyQWithContactModelLinearizedForward.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+const HyQWithContactModelLinearizedForward::state_matrix_t& HyQWithContactModelLinearizedForward::getDerivativeState(
+ const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdx_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = 0.5 * x_in[0];
+ vX_[1] = cos(vX_[0]);
+ vX_[2] = 0.5 * x_in[1];
+ vX_[3] = cos(vX_[2]);
+ vX_[4] = vX_[1] * vX_[3];
+ vX_[5] = 0.5 * x_in[2];
+ jac[649] = sin(x_in[2]);
+ jac[685] = cos(x_in[2]);
+ vX_[6] = sin(vX_[5]);
+ vX_[7] = sin(vX_[0]);
+ vX_[8] = sin(vX_[2]);
+ vX_[9] = vX_[7] * vX_[8];
+ vX_[10] = cos(vX_[5]);
+ vX_[11] = vX_[4] * vX_[6] + vX_[9] * vX_[10];
+ vX_[12] = 2. * vX_[11];
+ vX_[13] = 0.5 * cos(vX_[0]);
+ vX_[14] = vX_[13] * vX_[3];
+ vX_[0] = -0.5 * sin(vX_[0]);
+ vX_[15] = vX_[0] * vX_[8];
+ vX_[16] = vX_[14] * vX_[10] + vX_[15] * vX_[6];
+ vX_[0] = vX_[0] * vX_[3];
+ vX_[13] = vX_[13] * vX_[8];
+ vX_[17] = vX_[0] * vX_[6] + vX_[13] * vX_[10];
+ vX_[18] = 2. * vX_[17];
+ vX_[3] = vX_[7] * vX_[3];
+ vX_[8] = vX_[1] * vX_[8];
+ vX_[19] = vX_[3] * vX_[10] + vX_[8] * vX_[6];
+ vX_[20] = vX_[12] * vX_[16] + vX_[18] * vX_[19];
+ vX_[21] = vX_[8] * vX_[10] - vX_[3] * vX_[6];
+ vX_[22] = 2. * vX_[21];
+ vX_[13] = vX_[0] * vX_[10] - vX_[13] * vX_[6];
+ vX_[15] = vX_[15] * vX_[10] - vX_[14] * vX_[6];
+ vX_[14] = 2. * vX_[15];
+ vX_[0] = vX_[4] * vX_[10] - vX_[9] * vX_[6];
+ vX_[23] = vX_[22] * vX_[13] + vX_[14] * vX_[0];
+ vX_[24] = vX_[22] * vX_[16] + vX_[14] * vX_[19];
+ vX_[25] = vX_[12] * vX_[13] + vX_[18] * vX_[0];
+ vX_[17] = vX_[12] * vX_[17] + vX_[18] * vX_[11];
+ vX_[14] = vX_[22] * vX_[15] + vX_[14] * vX_[21];
+ jac[3] = (vX_[20] + vX_[23]) * x_in[23] + (vX_[24] - vX_[25]) * x_in[22] + (0 - vX_[17] - vX_[14]) * x_in[21];
+ vX_[15] = vX_[12] * vX_[15] + vX_[18] * vX_[21];
+ vX_[18] = 2. * vX_[19];
+ vX_[26] = 2. * vX_[16];
+ vX_[13] = vX_[18] * vX_[13] + vX_[26] * vX_[0];
+ vX_[26] = vX_[18] * vX_[16] + vX_[26] * vX_[19];
+ jac[4] = (vX_[15] - vX_[13]) * x_in[23] + (0 - vX_[17] - vX_[26]) * x_in[22] + (vX_[24] + vX_[25]) * x_in[21];
+ jac[5] = (0 - vX_[14] - vX_[26]) * x_in[23] + (vX_[15] + vX_[13]) * x_in[22] + (vX_[20] - vX_[23]) * x_in[21];
+ vX_[26] = cos(x_in[15]);
+ vX_[13] = cos(x_in[16]);
+ vX_[15] = cos(x_in[17]);
+ vX_[14] = -8.81e-05 * vX_[15];
+ vX_[23] = sin(x_in[17]);
+ vX_[20] = 0 - vX_[23];
+ vX_[17] = 8.81e-05 * vX_[20];
+ vX_[25] = 0.35 * vX_[23];
+ vX_[24] = 8.81e-05 * vX_[25];
+ vX_[16] = 2. * vX_[24];
+ vX_[27] = -0.35 * vX_[15];
+ vX_[28] = 0 - -8.81e-05 * vX_[27];
+ vX_[29] = 2. * vX_[28];
+ vX_[24] = 0 - vX_[24];
+ vX_[30] = -0.000102 + vX_[16] * vX_[20] + vX_[29] * vX_[15] - vX_[15] * vX_[28] - vX_[23] * vX_[24];
+ vX_[31] = -0.00185880198235362 * vX_[25] - 0.414812462825713 * vX_[27];
+ vX_[32] = 0.881 * vX_[27];
+ vX_[33] = -0.1104774 + vX_[32];
+ vX_[34] = vX_[31] + vX_[33];
+ vX_[35] = 0.880992588508842 * vX_[25] - -0.00185880198235362 * vX_[27];
+ vX_[36] = 0 - 0.881 * vX_[25];
+ vX_[37] = -0.0004405 + vX_[36];
+ vX_[38] = vX_[35] + vX_[37];
+ vX_[33] = 0 - vX_[33];
+ vX_[39] = vX_[15] * vX_[33] + vX_[20] * vX_[37];
+ vX_[40] = 0.47422804 + vX_[34] * vX_[15] + vX_[38] * vX_[23] + vX_[39];
+ vX_[41] = vX_[35] * vX_[25] - vX_[31] * vX_[27];
+ vX_[42] = 0.089871 + vX_[41];
+ vX_[43] = vX_[40] / vX_[42];
+ vX_[44] = vX_[14] * vX_[15] + vX_[17] * vX_[23] - vX_[30] * vX_[43];
+ vX_[45] = sin(x_in[16]);
+ vX_[46] = 0 - vX_[45];
+ vX_[47] = -8.81e-05 * vX_[23];
+ vX_[48] = 8.81e-05 * vX_[15];
+ vX_[49] = 2.1e-05 + vX_[16] * vX_[15] + vX_[29] * vX_[23] + vX_[20] * vX_[28] + vX_[15] * vX_[24];
+ vX_[50] = vX_[47] * vX_[15] + vX_[48] * vX_[23] - vX_[49] * vX_[43];
+ vX_[51] = vX_[13] * vX_[44] + vX_[46] * vX_[50];
+ vX_[52] = vX_[23] * vX_[33] + vX_[15] * vX_[37];
+ vX_[53] = -0.0825825 + vX_[34] * vX_[20] + vX_[38] * vX_[15] - vX_[52];
+ vX_[54] = vX_[53] / vX_[42];
+ vX_[55] = vX_[14] * vX_[20] + vX_[17] * vX_[15] - vX_[30] * vX_[54];
+ vX_[56] = vX_[47] * vX_[20] + vX_[48] * vX_[15] - vX_[49] * vX_[54];
+ vX_[57] = vX_[13] * vX_[55] + vX_[46] * vX_[56];
+ vX_[58] = -0.0004405 * vX_[27] + vX_[36] * vX_[27] - -0.1104774 * vX_[25];
+ vX_[59] = 0.026409 + -0.2209548 * vX_[27] + vX_[32] * vX_[27] - vX_[41];
+ vX_[60] = vX_[23] * vX_[58] + vX_[15] * vX_[59];
+ vX_[61] = 0.000468 - -0.000881 * vX_[25] - vX_[36] * vX_[25] - vX_[41];
+ vX_[62] = vX_[23] * vX_[61] + vX_[15] * vX_[58];
+ vX_[63] = vX_[49] / vX_[42];
+ vX_[64] = -0.007418 + vX_[60] * vX_[20] + vX_[62] * vX_[15] - vX_[30] * vX_[63];
+ vX_[52] = 0.0825825 + vX_[52];
+ vX_[65] = 0 - vX_[13];
+ vX_[66] = 0.08 * vX_[65];
+ vX_[67] = 0.08 * vX_[45];
+ vX_[68] = 0 - 4.027 * vX_[67];
+ vX_[39] = -0.47422804 - vX_[39];
+ vX_[69] = vX_[64] + vX_[52] * vX_[66] + vX_[68] * vX_[66] - vX_[39] * vX_[67];
+ vX_[70] = 2. * vX_[39];
+ vX_[71] = vX_[62] * vX_[23] + vX_[60] * vX_[15];
+ vX_[72] = 0.087136 + vX_[41] + vX_[71] - vX_[49] * vX_[63];
+ vX_[73] = 4.027 * vX_[66];
+ vX_[74] = -7.4114911576828e-06 * vX_[23] + -0.00185880198235362 * vX_[15];
+ vX_[75] = -0.00185880198235362 * vX_[23] + -0.466187537174287 * vX_[15];
+ vX_[76] = vX_[74] * vX_[23] + vX_[75] * vX_[15];
+ vX_[77] = 3.56080505133456 - vX_[76] - vX_[53] * vX_[54];
+ vX_[78] = vX_[75] * vX_[20] + vX_[74] * vX_[15] - vX_[53] * vX_[43];
+ vX_[79] = vX_[67] * vX_[77] - vX_[66] * vX_[78];
+ vX_[76] = 4.027 + vX_[76] - vX_[40] * vX_[43];
+ vX_[80] = vX_[67] * vX_[78] - vX_[66] * vX_[76];
+ vX_[81] = vX_[79] * vX_[67] - vX_[80] * vX_[66];
+ vX_[82] = vX_[70] * vX_[66] + vX_[72] + vX_[73] * vX_[66] - vX_[81];
+ vX_[83] = vX_[46] * vX_[69] + vX_[65] * vX_[82];
+ vX_[84] = vX_[30] / vX_[42];
+ vX_[71] = 0.005495 + vX_[59] + vX_[61] + vX_[41] - vX_[71] - vX_[30] * vX_[84];
+ vX_[41] = 2. * vX_[52];
+ vX_[85] = vX_[71] - vX_[41] * vX_[67] - vX_[68] * vX_[67] - vX_[81];
+ vX_[86] = vX_[46] * vX_[85] + vX_[65] * vX_[69];
+ vX_[87] = -0.022734 + vX_[83] * vX_[46] + vX_[86] * vX_[13];
+ vX_[88] = vX_[46] * vX_[55] + vX_[65] * vX_[56];
+ vX_[89] = vX_[46] * vX_[44] + vX_[65] * vX_[50];
+ vX_[90] = vX_[88] * vX_[13] + vX_[89] * vX_[46];
+ vX_[91] = vX_[86] * vX_[46] + vX_[83] * vX_[65];
+ vX_[92] = 0.011033 + vX_[81] + vX_[91];
+ vX_[93] = vX_[90] / vX_[92];
+ vX_[94] = vX_[51] * vX_[46] + vX_[57] * vX_[13] - vX_[87] * vX_[93];
+ vX_[95] = 0.207 * vX_[26];
+ vX_[96] = sin(x_in[15]);
+ vX_[97] = 0.3735 * vX_[96];
+ vX_[98] = 0 - vX_[26];
+ vX_[99] = -0.3735 * vX_[26];
+ vX_[100] = vX_[96] * vX_[97] + vX_[98] * vX_[99];
+ vX_[101] = vX_[73] + vX_[39];
+ vX_[102] = 0 - vX_[101];
+ vX_[103] = vX_[68] + vX_[52];
+ vX_[104] = vX_[13] * vX_[102] + vX_[46] * vX_[103];
+ vX_[105] = 0.1466472 + vX_[104];
+ vX_[106] = vX_[105] / vX_[92];
+ vX_[107] = 0 - vX_[90] * vX_[106];
+ vX_[108] = vX_[100] * vX_[107];
+ vX_[109] = vX_[76] - 4.027;
+ vX_[110] = vX_[46] * vX_[78] + vX_[65] * vX_[109];
+ vX_[111] = vX_[77] - 4.027;
+ vX_[112] = vX_[46] * vX_[111] + vX_[65] * vX_[78];
+ vX_[113] = vX_[88] * vX_[46] + vX_[89] * vX_[65];
+ vX_[114] = vX_[113] / vX_[92];
+ vX_[115] = vX_[110] * vX_[46] + vX_[112] * vX_[13] - vX_[90] * vX_[114];
+ vX_[116] = vX_[95] * vX_[115];
+ vX_[117] = vX_[108] - vX_[116];
+ vX_[118] = vX_[46] * vX_[102] + vX_[65] * vX_[103];
+ vX_[119] = -0.5824264 - vX_[118] - vX_[87] * vX_[106];
+ vX_[120] = 0.207 * vX_[96];
+ vX_[121] = 7.467 - vX_[105] * vX_[106];
+ vX_[122] = 0 - vX_[105] * vX_[114];
+ vX_[123] = vX_[100] * vX_[121] - vX_[95] * vX_[122];
+ vX_[124] = vX_[94] * vX_[95] + vX_[117] * vX_[95] - vX_[119] * vX_[120] - vX_[123] * vX_[120];
+ vX_[125] = vX_[55] * vX_[67] - vX_[44] * vX_[66];
+ vX_[126] = vX_[56] * vX_[67] - vX_[50] * vX_[66];
+ vX_[127] = 0 - vX_[126];
+ vX_[128] = -5.1e-05 + vX_[46] * vX_[125] + vX_[13] * vX_[127];
+ vX_[129] = 0 - vX_[128] * vX_[106];
+ vX_[130] = vX_[120] * vX_[122];
+ vX_[108] = vX_[130] - vX_[108];
+ vX_[101] = vX_[80] + vX_[101];
+ vX_[131] = vX_[79] + vX_[103];
+ vX_[118] = 0.5824264 + vX_[101] * vX_[46] + vX_[131] * vX_[13] + vX_[118] - vX_[128] * vX_[93];
+ vX_[132] = vX_[112] * vX_[46] + vX_[110] * vX_[65];
+ vX_[133] = 7.467 + vX_[109] + vX_[111] - vX_[132] - vX_[90] * vX_[93];
+ vX_[134] = vX_[120] * vX_[115] - vX_[100] * vX_[133];
+ vX_[135] = vX_[129] * vX_[120] + vX_[108] * vX_[120] - vX_[118] * vX_[95] - vX_[134] * vX_[95];
+ vX_[136] = 0 - vX_[26] * vX_[124] - vX_[96] * vX_[135];
+ vX_[137] = cos(x_in[12]);
+ vX_[138] = 0 - vX_[137];
+ vX_[139] = cos(x_in[13]);
+ vX_[140] = sin(x_in[14]);
+ vX_[141] = 0.35 * vX_[140];
+ vX_[142] = cos(x_in[14]);
+ vX_[143] = -0.35 * vX_[142];
+ vX_[144] = -0.00370574557885489 * vX_[141] - 0.417781802643138 * vX_[143];
+ vX_[145] = 0.881 * vX_[143];
+ vX_[146] = -0.110125 + vX_[145];
+ vX_[147] = vX_[144] + vX_[146];
+ vX_[148] = 0.880970354035369 * vX_[141] - -0.00370574557885489 * vX_[143];
+ vX_[149] = 0 - 0.881 * vX_[141];
+ vX_[150] = -0.000881 + vX_[149];
+ vX_[151] = vX_[148] + vX_[150];
+ vX_[146] = 0 - vX_[146];
+ vX_[152] = 0 - vX_[140];
+ vX_[153] = vX_[142] * vX_[146] + vX_[152] * vX_[150];
+ vX_[154] = 0.47422804 + vX_[147] * vX_[142] + vX_[151] * vX_[140] + vX_[153];
+ vX_[155] = vX_[148] * vX_[141] - vX_[144] * vX_[143];
+ vX_[156] = 0.089871 + vX_[155];
+ vX_[157] = vX_[154] / vX_[156];
+ vX_[158] = 0 - -0.000102 * vX_[157];
+ vX_[159] = sin(x_in[13]);
+ vX_[160] = 0 - vX_[159];
+ vX_[161] = 0 - 2.1e-05 * vX_[157];
+ vX_[162] = vX_[139] * vX_[158] + vX_[160] * vX_[161];
+ vX_[163] = vX_[140] * vX_[146] + vX_[142] * vX_[150];
+ vX_[164] = -0.0825825 + vX_[147] * vX_[152] + vX_[151] * vX_[142] - vX_[163];
+ vX_[165] = vX_[164] / vX_[156];
+ vX_[166] = 0 - -0.000102 * vX_[165];
+ vX_[167] = 0 - 2.1e-05 * vX_[165];
+ vX_[168] = vX_[139] * vX_[166] + vX_[160] * vX_[167];
+ vX_[169] = -0.000881 * vX_[143] + vX_[149] * vX_[143] - -0.110125 * vX_[141];
+ vX_[170] = 0.026409 + -0.22025 * vX_[143] + vX_[145] * vX_[143] - vX_[155];
+ vX_[171] = vX_[140] * vX_[169] + vX_[142] * vX_[170];
+ vX_[172] = 0.000468 - -0.001762 * vX_[141] - vX_[149] * vX_[141] - vX_[155];
+ vX_[173] = vX_[140] * vX_[172] + vX_[142] * vX_[169];
+ vX_[174] = 2.1e-05 / vX_[156];
+ vX_[175] = -0.007418 + vX_[171] * vX_[152] + vX_[173] * vX_[142] - -0.000102 * vX_[174];
+ vX_[163] = 0.0825825 + vX_[163];
+ vX_[176] = -0.08 * vX_[139];
+ vX_[177] = -0.08 * vX_[159];
+ vX_[178] = -1 * vX_[177];
+ vX_[179] = 0 - 4.027 * vX_[178];
+ vX_[153] = -0.47422804 - vX_[153];
+ vX_[180] = vX_[175] + vX_[163] * vX_[176] + vX_[179] * vX_[176] - vX_[153] * vX_[178];
+ vX_[181] = 2. * vX_[153];
+ vX_[182] = vX_[173] * vX_[140] + vX_[171] * vX_[142];
+ vX_[183] = 0.087136 + vX_[155] + vX_[182] - 2.1e-05 * vX_[174];
+ vX_[184] = 4.027 * vX_[176];
+ vX_[185] = -2.96459646308422e-05 * vX_[140] + -0.00370574557885489 * vX_[142];
+ vX_[186] = -0.00370574557885489 * vX_[140] + -0.463218197356862 * vX_[142];
+ vX_[187] = vX_[185] * vX_[140] + vX_[186] * vX_[142];
+ vX_[188] = 3.56375215667851 - vX_[187] - vX_[164] * vX_[165];
+ vX_[189] = vX_[186] * vX_[152] + vX_[185] * vX_[142] - vX_[164] * vX_[157];
+ vX_[190] = vX_[178] * vX_[188] - vX_[176] * vX_[189];
+ vX_[187] = 4.027 + vX_[187] - vX_[154] * vX_[157];
+ vX_[191] = vX_[178] * vX_[189] - vX_[176] * vX_[187];
+ vX_[192] = vX_[190] * vX_[178] - vX_[191] * vX_[176];
+ vX_[193] = vX_[181] * vX_[176] + vX_[183] + vX_[184] * vX_[176] - vX_[192];
+ vX_[194] = vX_[159] * vX_[180] + vX_[139] * vX_[193];
+ vX_[195] = -0.000102 / vX_[156];
+ vX_[182] = 0.005495 + vX_[170] + vX_[172] + vX_[155] - vX_[182] - -0.000102 * vX_[195];
+ vX_[155] = 2. * vX_[163];
+ vX_[196] = vX_[182] - vX_[155] * vX_[178] - vX_[179] * vX_[178] - vX_[192];
+ vX_[197] = vX_[159] * vX_[196] + vX_[139] * vX_[180];
+ vX_[198] = 0.022734 + vX_[194] * vX_[160] + vX_[197] * vX_[139];
+ vX_[199] = vX_[159] * vX_[166] + vX_[139] * vX_[167];
+ vX_[200] = vX_[159] * vX_[158] + vX_[139] * vX_[161];
+ vX_[201] = vX_[199] * vX_[139] + vX_[200] * vX_[160];
+ vX_[202] = vX_[197] * vX_[159] + vX_[194] * vX_[139];
+ vX_[203] = 0.011033 + vX_[192] + vX_[202];
+ vX_[204] = vX_[201] / vX_[203];
+ vX_[205] = vX_[162] * vX_[160] + vX_[168] * vX_[139] - vX_[198] * vX_[204];
+ vX_[206] = -0.207 * vX_[137];
+ vX_[207] = -1 * vX_[206];
+ vX_[208] = sin(x_in[12]);
+ vX_[209] = 0 - vX_[208];
+ vX_[210] = 0.3735 * vX_[208];
+ vX_[211] = 0.3735 * vX_[137];
+ vX_[212] = vX_[209] * vX_[210] + vX_[138] * vX_[211];
+ vX_[213] = vX_[184] + vX_[153];
+ vX_[214] = 0 - vX_[213];
+ vX_[215] = vX_[179] + vX_[163];
+ vX_[216] = vX_[139] * vX_[214] + vX_[160] * vX_[215];
+ vX_[217] = 0.1466472 + vX_[216];
+ vX_[218] = vX_[217] / vX_[203];
+ vX_[219] = 0 - vX_[201] * vX_[218];
+ vX_[220] = vX_[212] * vX_[219];
+ vX_[221] = vX_[187] - 4.027;
+ vX_[222] = vX_[159] * vX_[189] + vX_[139] * vX_[221];
+ vX_[223] = vX_[188] - 4.027;
+ vX_[224] = vX_[159] * vX_[223] + vX_[139] * vX_[189];
+ vX_[225] = vX_[199] * vX_[159] + vX_[200] * vX_[139];
+ vX_[226] = vX_[225] / vX_[203];
+ vX_[227] = vX_[222] * vX_[160] + vX_[224] * vX_[139] - vX_[201] * vX_[226];
+ vX_[228] = vX_[207] * vX_[227];
+ vX_[229] = vX_[220] - vX_[228];
+ vX_[230] = vX_[159] * vX_[214] + vX_[139] * vX_[215];
+ vX_[231] = 0.5824264 - vX_[230] - vX_[198] * vX_[218];
+ vX_[232] = 0.207 * vX_[208];
+ vX_[233] = 7.467 - vX_[217] * vX_[218];
+ vX_[234] = 0 - vX_[217] * vX_[226];
+ vX_[235] = vX_[212] * vX_[233] - vX_[207] * vX_[234];
+ vX_[236] = vX_[205] * vX_[207] + vX_[229] * vX_[207] - vX_[231] * vX_[232] - vX_[235] * vX_[232];
+ vX_[237] = vX_[166] * vX_[178] - vX_[158] * vX_[176];
+ vX_[238] = vX_[167] * vX_[178] - vX_[161] * vX_[176];
+ vX_[239] = 0 - vX_[238];
+ vX_[240] = -5.1e-05 + vX_[160] * vX_[237] + vX_[139] * vX_[239];
+ vX_[241] = 0 - vX_[240] * vX_[218];
+ vX_[242] = vX_[232] * vX_[234];
+ vX_[220] = vX_[242] - vX_[220];
+ vX_[213] = -1 * (vX_[191] + vX_[213]);
+ vX_[243] = -1 * (vX_[190] + vX_[215]);
+ vX_[230] = -0.5824264 + vX_[213] * vX_[160] + vX_[243] * vX_[139] + vX_[230] - vX_[240] * vX_[204];
+ vX_[244] = vX_[224] * vX_[159] + vX_[222] * vX_[139];
+ vX_[245] = 7.467 + vX_[221] + vX_[223] - vX_[244] - vX_[201] * vX_[204];
+ vX_[246] = vX_[232] * vX_[227] - vX_[212] * vX_[245];
+ vX_[247] = vX_[241] * vX_[232] + vX_[220] * vX_[232] - vX_[230] * vX_[207] - vX_[246] * vX_[207];
+ vX_[248] = 0 - vX_[138] * vX_[236] - vX_[209] * vX_[247];
+ vX_[249] = cos(x_in[9]);
+ vX_[250] = cos(x_in[10]);
+ vX_[251] = cos(x_in[11]);
+ vX_[252] = 8.81e-05 * vX_[251];
+ vX_[253] = sin(x_in[11]);
+ vX_[254] = 0 - vX_[253];
+ vX_[255] = -8.81e-05 * vX_[254];
+ vX_[256] = 0.35 * vX_[253];
+ vX_[257] = -8.81e-05 * vX_[256];
+ vX_[258] = 2. * vX_[257];
+ vX_[259] = -0.35 * vX_[251];
+ vX_[260] = 0 - 8.81e-05 * vX_[259];
+ vX_[261] = 2. * vX_[260];
+ vX_[257] = 0 - vX_[257];
+ vX_[262] = 0.000102 + vX_[258] * vX_[254] + vX_[261] * vX_[251] - vX_[251] * vX_[260] - vX_[253] * vX_[257];
+ vX_[263] = 0.00185880198235362 * vX_[256] - 0.414812462825713 * vX_[259];
+ vX_[264] = 0.881 * vX_[259];
+ vX_[265] = -0.1104774 + vX_[264];
+ vX_[266] = vX_[263] + vX_[265];
+ vX_[267] = 0.880992588508842 * vX_[256] - 0.00185880198235362 * vX_[259];
+ vX_[268] = 0 - 0.881 * vX_[256];
+ vX_[269] = 0.0004405 + vX_[268];
+ vX_[270] = vX_[267] + vX_[269];
+ vX_[265] = 0 - vX_[265];
+ vX_[271] = vX_[251] * vX_[265] + vX_[254] * vX_[269];
+ vX_[272] = 0.47422804 + vX_[266] * vX_[251] + vX_[270] * vX_[253] + vX_[271];
+ vX_[273] = vX_[267] * vX_[256] - vX_[263] * vX_[259];
+ vX_[274] = 0.089871 + vX_[273];
+ vX_[275] = vX_[272] / vX_[274];
+ vX_[276] = vX_[252] * vX_[251] + vX_[255] * vX_[253] - vX_[262] * vX_[275];
+ vX_[277] = sin(x_in[10]);
+ vX_[278] = 0 - vX_[277];
+ vX_[279] = 8.81e-05 * vX_[253];
+ vX_[280] = -8.81e-05 * vX_[251];
+ vX_[281] = 2.1e-05 + vX_[258] * vX_[251] + vX_[261] * vX_[253] + vX_[254] * vX_[260] + vX_[251] * vX_[257];
+ vX_[282] = vX_[279] * vX_[251] + vX_[280] * vX_[253] - vX_[281] * vX_[275];
+ vX_[283] = vX_[250] * vX_[276] + vX_[278] * vX_[282];
+ vX_[284] = vX_[253] * vX_[265] + vX_[251] * vX_[269];
+ vX_[285] = 0.0825825 + vX_[266] * vX_[254] + vX_[270] * vX_[251] - vX_[284];
+ vX_[286] = vX_[285] / vX_[274];
+ vX_[287] = vX_[252] * vX_[254] + vX_[255] * vX_[251] - vX_[262] * vX_[286];
+ vX_[288] = vX_[279] * vX_[254] + vX_[280] * vX_[251] - vX_[281] * vX_[286];
+ vX_[289] = vX_[250] * vX_[287] + vX_[278] * vX_[288];
+ vX_[290] = 0.0004405 * vX_[259] + vX_[268] * vX_[259] - -0.1104774 * vX_[256];
+ vX_[291] = 0.026409 + -0.2209548 * vX_[259] + vX_[264] * vX_[259] - vX_[273];
+ vX_[292] = vX_[253] * vX_[290] + vX_[251] * vX_[291];
+ vX_[293] = 0.000468 - 0.000881 * vX_[256] - vX_[268] * vX_[256] - vX_[273];
+ vX_[294] = vX_[253] * vX_[293] + vX_[251] * vX_[290];
+ vX_[295] = vX_[281] / vX_[274];
+ vX_[296] = 0.007418 + vX_[292] * vX_[254] + vX_[294] * vX_[251] - vX_[262] * vX_[295];
+ vX_[284] = -0.0825825 + vX_[284];
+ vX_[297] = 0 - vX_[250];
+ vX_[298] = 0.08 * vX_[297];
+ vX_[299] = 0.08 * vX_[277];
+ vX_[300] = 0 - 4.027 * vX_[299];
+ vX_[271] = -0.47422804 - vX_[271];
+ vX_[301] = vX_[296] + vX_[284] * vX_[298] + vX_[300] * vX_[298] - vX_[271] * vX_[299];
+ vX_[302] = 2. * vX_[271];
+ vX_[303] = vX_[294] * vX_[253] + vX_[292] * vX_[251];
+ vX_[304] = 0.087136 + vX_[273] + vX_[303] - vX_[281] * vX_[295];
+ vX_[305] = 4.027 * vX_[298];
+ vX_[306] = -7.4114911576828e-06 * vX_[253] + 0.00185880198235362 * vX_[251];
+ vX_[307] = 0.00185880198235362 * vX_[253] + -0.466187537174287 * vX_[251];
+ vX_[308] = vX_[306] * vX_[253] + vX_[307] * vX_[251];
+ vX_[309] = 3.56080505133456 - vX_[308] - vX_[285] * vX_[286];
+ vX_[310] = vX_[307] * vX_[254] + vX_[306] * vX_[251] - vX_[285] * vX_[275];
+ vX_[311] = vX_[299] * vX_[309] - vX_[298] * vX_[310];
+ vX_[308] = 4.027 + vX_[308] - vX_[272] * vX_[275];
+ vX_[312] = vX_[299] * vX_[310] - vX_[298] * vX_[308];
+ vX_[313] = vX_[311] * vX_[299] - vX_[312] * vX_[298];
+ vX_[314] = vX_[302] * vX_[298] + vX_[304] + vX_[305] * vX_[298] - vX_[313];
+ vX_[315] = vX_[278] * vX_[301] + vX_[297] * vX_[314];
+ vX_[316] = vX_[262] / vX_[274];
+ vX_[303] = 0.005495 + vX_[291] + vX_[293] + vX_[273] - vX_[303] - vX_[262] * vX_[316];
+ vX_[273] = 2. * vX_[284];
+ vX_[317] = vX_[303] - vX_[273] * vX_[299] - vX_[300] * vX_[299] - vX_[313];
+ vX_[318] = vX_[278] * vX_[317] + vX_[297] * vX_[301];
+ vX_[319] = 0.022734 + vX_[315] * vX_[278] + vX_[318] * vX_[250];
+ vX_[320] = vX_[278] * vX_[287] + vX_[297] * vX_[288];
+ vX_[321] = vX_[278] * vX_[276] + vX_[297] * vX_[282];
+ vX_[322] = vX_[320] * vX_[250] + vX_[321] * vX_[278];
+ vX_[323] = vX_[318] * vX_[278] + vX_[315] * vX_[297];
+ vX_[324] = 0.011033 + vX_[313] + vX_[323];
+ vX_[325] = vX_[322] / vX_[324];
+ vX_[326] = vX_[283] * vX_[278] + vX_[289] * vX_[250] - vX_[319] * vX_[325];
+ vX_[327] = 0.207 * vX_[249];
+ vX_[328] = sin(x_in[9]);
+ vX_[329] = -0.3735 * vX_[328];
+ vX_[330] = 0 - vX_[249];
+ vX_[331] = 0.3735 * vX_[249];
+ vX_[332] = vX_[328] * vX_[329] + vX_[330] * vX_[331];
+ vX_[333] = vX_[305] + vX_[271];
+ vX_[334] = 0 - vX_[333];
+ vX_[335] = vX_[300] + vX_[284];
+ vX_[336] = vX_[250] * vX_[334] + vX_[278] * vX_[335];
+ vX_[337] = 0.1466472 + vX_[336];
+ vX_[338] = vX_[337] / vX_[324];
+ vX_[339] = 0 - vX_[322] * vX_[338];
+ vX_[340] = vX_[332] * vX_[339];
+ vX_[341] = vX_[308] - 4.027;
+ vX_[342] = vX_[278] * vX_[310] + vX_[297] * vX_[341];
+ vX_[343] = vX_[309] - 4.027;
+ vX_[344] = vX_[278] * vX_[343] + vX_[297] * vX_[310];
+ vX_[345] = vX_[320] * vX_[278] + vX_[321] * vX_[297];
+ vX_[346] = vX_[345] / vX_[324];
+ vX_[347] = vX_[342] * vX_[278] + vX_[344] * vX_[250] - vX_[322] * vX_[346];
+ vX_[348] = vX_[327] * vX_[347];
+ vX_[349] = vX_[340] - vX_[348];
+ vX_[350] = vX_[278] * vX_[334] + vX_[297] * vX_[335];
+ vX_[351] = 0.5824264 - vX_[350] - vX_[319] * vX_[338];
+ vX_[352] = 0.207 * vX_[328];
+ vX_[353] = 7.467 - vX_[337] * vX_[338];
+ vX_[354] = 0 - vX_[337] * vX_[346];
+ vX_[355] = vX_[332] * vX_[353] - vX_[327] * vX_[354];
+ vX_[356] = vX_[326] * vX_[327] + vX_[349] * vX_[327] - vX_[351] * vX_[352] - vX_[355] * vX_[352];
+ vX_[357] = vX_[287] * vX_[299] - vX_[276] * vX_[298];
+ vX_[358] = vX_[288] * vX_[299] - vX_[282] * vX_[298];
+ vX_[359] = 0 - vX_[358];
+ vX_[360] = -5.1e-05 + vX_[278] * vX_[357] + vX_[250] * vX_[359];
+ vX_[361] = 0 - vX_[360] * vX_[338];
+ vX_[362] = vX_[352] * vX_[354];
+ vX_[340] = vX_[362] - vX_[340];
+ vX_[333] = vX_[312] + vX_[333];
+ vX_[363] = vX_[311] + vX_[335];
+ vX_[350] = -0.5824264 + vX_[333] * vX_[278] + vX_[363] * vX_[250] + vX_[350] - vX_[360] * vX_[325];
+ vX_[364] = vX_[344] * vX_[278] + vX_[342] * vX_[297];
+ vX_[365] = 7.467 + vX_[341] + vX_[343] - vX_[364] - vX_[322] * vX_[325];
+ vX_[366] = vX_[352] * vX_[347] - vX_[332] * vX_[365];
+ vX_[367] = vX_[361] * vX_[352] + vX_[340] * vX_[352] - vX_[350] * vX_[327] - vX_[366] * vX_[327];
+ vX_[368] = 0 - vX_[249] * vX_[356] - vX_[328] * vX_[367];
+ vX_[369] = cos(x_in[6]);
+ vX_[370] = 0 - vX_[369];
+ vX_[371] = cos(x_in[7]);
+ vX_[372] = cos(x_in[8]);
+ vX_[373] = 8.81e-05 * vX_[372];
+ vX_[374] = sin(x_in[8]);
+ vX_[375] = 0 - vX_[374];
+ vX_[376] = -8.81e-05 * vX_[375];
+ vX_[377] = 0.35 * vX_[374];
+ vX_[378] = -8.81e-05 * vX_[377];
+ vX_[379] = 2. * vX_[378];
+ vX_[380] = -0.35 * vX_[372];
+ vX_[381] = 0 - 8.81e-05 * vX_[380];
+ vX_[382] = 2. * vX_[381];
+ vX_[378] = 0 - vX_[378];
+ vX_[383] = 0.000102 + vX_[379] * vX_[375] + vX_[382] * vX_[372] - vX_[372] * vX_[381] - vX_[374] * vX_[378];
+ vX_[384] = 0.00185880198235362 * vX_[377] - 0.414812462825713 * vX_[380];
+ vX_[385] = 0.881 * vX_[380];
+ vX_[386] = -0.1104774 + vX_[385];
+ vX_[387] = vX_[384] + vX_[386];
+ vX_[388] = 0.880992588508842 * vX_[377] - 0.00185880198235362 * vX_[380];
+ vX_[389] = 0 - 0.881 * vX_[377];
+ vX_[390] = 0.0004405 + vX_[389];
+ vX_[391] = vX_[388] + vX_[390];
+ vX_[386] = 0 - vX_[386];
+ vX_[392] = vX_[372] * vX_[386] + vX_[375] * vX_[390];
+ vX_[393] = 0.47422804 + vX_[387] * vX_[372] + vX_[391] * vX_[374] + vX_[392];
+ vX_[394] = vX_[388] * vX_[377] - vX_[384] * vX_[380];
+ vX_[395] = 0.089871 + vX_[394];
+ vX_[396] = vX_[393] / vX_[395];
+ vX_[397] = vX_[373] * vX_[372] + vX_[376] * vX_[374] - vX_[383] * vX_[396];
+ vX_[398] = sin(x_in[7]);
+ vX_[399] = 0 - vX_[398];
+ vX_[400] = 8.81e-05 * vX_[374];
+ vX_[401] = -8.81e-05 * vX_[372];
+ vX_[402] = 2.1e-05 + vX_[379] * vX_[372] + vX_[382] * vX_[374] + vX_[375] * vX_[381] + vX_[372] * vX_[378];
+ vX_[403] = vX_[400] * vX_[372] + vX_[401] * vX_[374] - vX_[402] * vX_[396];
+ vX_[404] = vX_[371] * vX_[397] + vX_[399] * vX_[403];
+ vX_[405] = vX_[374] * vX_[386] + vX_[372] * vX_[390];
+ vX_[406] = 0.0825825 + vX_[387] * vX_[375] + vX_[391] * vX_[372] - vX_[405];
+ vX_[407] = vX_[406] / vX_[395];
+ vX_[408] = vX_[373] * vX_[375] + vX_[376] * vX_[372] - vX_[383] * vX_[407];
+ vX_[409] = vX_[400] * vX_[375] + vX_[401] * vX_[372] - vX_[402] * vX_[407];
+ vX_[410] = vX_[371] * vX_[408] + vX_[399] * vX_[409];
+ vX_[411] = 0.0004405 * vX_[380] + vX_[389] * vX_[380] - -0.1104774 * vX_[377];
+ vX_[412] = 0.026409 + -0.2209548 * vX_[380] + vX_[385] * vX_[380] - vX_[394];
+ vX_[413] = vX_[374] * vX_[411] + vX_[372] * vX_[412];
+ vX_[414] = 0.000468 - 0.000881 * vX_[377] - vX_[389] * vX_[377] - vX_[394];
+ vX_[415] = vX_[374] * vX_[414] + vX_[372] * vX_[411];
+ vX_[416] = vX_[402] / vX_[395];
+ vX_[417] = 0.007418 + vX_[413] * vX_[375] + vX_[415] * vX_[372] - vX_[383] * vX_[416];
+ vX_[405] = -0.0825825 + vX_[405];
+ vX_[418] = -0.08 * vX_[371];
+ vX_[419] = -0.08 * vX_[398];
+ vX_[420] = -1 * vX_[419];
+ vX_[421] = 0 - 4.027 * vX_[420];
+ vX_[392] = -0.47422804 - vX_[392];
+ vX_[422] = vX_[417] + vX_[405] * vX_[418] + vX_[421] * vX_[418] - vX_[392] * vX_[420];
+ vX_[423] = 2. * vX_[392];
+ vX_[424] = vX_[415] * vX_[374] + vX_[413] * vX_[372];
+ vX_[425] = 0.087136 + vX_[394] + vX_[424] - vX_[402] * vX_[416];
+ vX_[426] = 4.027 * vX_[418];
+ vX_[427] = -7.4114911576828e-06 * vX_[374] + 0.00185880198235362 * vX_[372];
+ vX_[428] = 0.00185880198235362 * vX_[374] + -0.466187537174287 * vX_[372];
+ vX_[429] = vX_[427] * vX_[374] + vX_[428] * vX_[372];
+ vX_[430] = 3.56080505133456 - vX_[429] - vX_[406] * vX_[407];
+ vX_[431] = vX_[428] * vX_[375] + vX_[427] * vX_[372] - vX_[406] * vX_[396];
+ vX_[432] = vX_[420] * vX_[430] - vX_[418] * vX_[431];
+ vX_[429] = 4.027 + vX_[429] - vX_[393] * vX_[396];
+ vX_[433] = vX_[420] * vX_[431] - vX_[418] * vX_[429];
+ vX_[434] = vX_[432] * vX_[420] - vX_[433] * vX_[418];
+ vX_[435] = vX_[423] * vX_[418] + vX_[425] + vX_[426] * vX_[418] - vX_[434];
+ vX_[436] = vX_[398] * vX_[422] + vX_[371] * vX_[435];
+ vX_[437] = vX_[383] / vX_[395];
+ vX_[424] = 0.005495 + vX_[412] + vX_[414] + vX_[394] - vX_[424] - vX_[383] * vX_[437];
+ vX_[394] = 2. * vX_[405];
+ vX_[438] = vX_[424] - vX_[394] * vX_[420] - vX_[421] * vX_[420] - vX_[434];
+ vX_[439] = vX_[398] * vX_[438] + vX_[371] * vX_[422];
+ vX_[440] = -0.022734 + vX_[436] * vX_[399] + vX_[439] * vX_[371];
+ vX_[441] = vX_[398] * vX_[408] + vX_[371] * vX_[409];
+ vX_[442] = vX_[398] * vX_[397] + vX_[371] * vX_[403];
+ vX_[443] = vX_[441] * vX_[371] + vX_[442] * vX_[399];
+ vX_[444] = vX_[439] * vX_[398] + vX_[436] * vX_[371];
+ vX_[445] = 0.011033 + vX_[434] + vX_[444];
+ vX_[446] = vX_[443] / vX_[445];
+ vX_[447] = vX_[404] * vX_[399] + vX_[410] * vX_[371] - vX_[440] * vX_[446];
+ vX_[448] = -0.207 * vX_[369];
+ vX_[449] = -1 * vX_[448];
+ vX_[450] = sin(x_in[6]);
+ vX_[451] = 0 - vX_[450];
+ vX_[452] = -0.3735 * vX_[450];
+ vX_[453] = -0.3735 * vX_[369];
+ vX_[454] = vX_[451] * vX_[452] + vX_[370] * vX_[453];
+ vX_[455] = vX_[426] + vX_[392];
+ vX_[456] = 0 - vX_[455];
+ vX_[457] = vX_[421] + vX_[405];
+ vX_[458] = vX_[371] * vX_[456] + vX_[399] * vX_[457];
+ vX_[459] = 0.1466472 + vX_[458];
+ vX_[460] = vX_[459] / vX_[445];
+ vX_[461] = 0 - vX_[443] * vX_[460];
+ vX_[462] = vX_[454] * vX_[461];
+ vX_[463] = vX_[429] - 4.027;
+ vX_[464] = vX_[398] * vX_[431] + vX_[371] * vX_[463];
+ vX_[465] = vX_[430] - 4.027;
+ vX_[466] = vX_[398] * vX_[465] + vX_[371] * vX_[431];
+ vX_[467] = vX_[441] * vX_[398] + vX_[442] * vX_[371];
+ vX_[468] = vX_[467] / vX_[445];
+ vX_[469] = vX_[464] * vX_[399] + vX_[466] * vX_[371] - vX_[443] * vX_[468];
+ vX_[470] = vX_[449] * vX_[469];
+ vX_[471] = vX_[462] - vX_[470];
+ vX_[472] = vX_[398] * vX_[456] + vX_[371] * vX_[457];
+ vX_[473] = -0.5824264 - vX_[472] - vX_[440] * vX_[460];
+ vX_[474] = 0.207 * vX_[450];
+ vX_[475] = 7.467 - vX_[459] * vX_[460];
+ vX_[476] = 0 - vX_[459] * vX_[468];
+ vX_[477] = vX_[454] * vX_[475] - vX_[449] * vX_[476];
+ vX_[478] = vX_[447] * vX_[449] + vX_[471] * vX_[449] - vX_[473] * vX_[474] - vX_[477] * vX_[474];
+ vX_[479] = vX_[408] * vX_[420] - vX_[397] * vX_[418];
+ vX_[480] = vX_[409] * vX_[420] - vX_[403] * vX_[418];
+ vX_[481] = 0 - vX_[480];
+ vX_[482] = -5.1e-05 + vX_[399] * vX_[479] + vX_[371] * vX_[481];
+ vX_[483] = 0 - vX_[482] * vX_[460];
+ vX_[484] = vX_[474] * vX_[476];
+ vX_[462] = vX_[484] - vX_[462];
+ vX_[455] = -1 * (vX_[433] + vX_[455]);
+ vX_[485] = -1 * (vX_[432] + vX_[457]);
+ vX_[472] = 0.5824264 + vX_[455] * vX_[399] + vX_[485] * vX_[371] + vX_[472] - vX_[482] * vX_[446];
+ vX_[486] = vX_[466] * vX_[398] + vX_[464] * vX_[371];
+ vX_[487] = 7.467 + vX_[463] + vX_[465] - vX_[486] - vX_[443] * vX_[446];
+ vX_[488] = vX_[474] * vX_[469] - vX_[454] * vX_[487];
+ vX_[489] = vX_[483] * vX_[474] + vX_[462] * vX_[474] - vX_[472] * vX_[449] - vX_[488] * vX_[449];
+ vX_[490] = 0 - vX_[370] * vX_[478] - vX_[451] * vX_[489];
+ vX_[104] = -0.1466472 + vX_[101] * vX_[65] + vX_[131] * vX_[46] - vX_[104] - vX_[128] * vX_[114];
+ vX_[491] = 2. * vX_[104];
+ vX_[492] = vX_[128] / vX_[92];
+ vX_[493] = 0.144171 + vX_[81] - vX_[128] * vX_[492];
+ vX_[132] = 7.467 + vX_[132] - vX_[113] * vX_[114];
+ vX_[494] = vX_[120] * vX_[132] - vX_[100] * vX_[115];
+ vX_[495] = 2. * vX_[118];
+ vX_[496] = vX_[95] * vX_[133] - vX_[120] * vX_[107];
+ vX_[497] = vX_[95] * vX_[107] - vX_[120] * vX_[121];
+ vX_[498] = vX_[496] * vX_[95] - vX_[497] * vX_[120];
+ vX_[499] = vX_[491] * vX_[120] + vX_[493] + vX_[494] * vX_[120] - vX_[495] * vX_[100] - vX_[134] * vX_[100] - vX_[498];
+ vX_[500] = 2. * vX_[119];
+ vX_[501] = vX_[87] / vX_[92];
+ vX_[91] = 0.134705 + vX_[82] + vX_[85] + vX_[81] - vX_[91] - vX_[87] * vX_[501];
+ vX_[81] = vX_[51] * vX_[65] + vX_[57] * vX_[46] - vX_[87] * vX_[114];
+ vX_[502] = 2. * vX_[81];
+ vX_[503] = vX_[100] * vX_[122] - vX_[95] * vX_[132];
+ vX_[504] = vX_[500] * vX_[100] + vX_[91] + vX_[123] * vX_[100] - vX_[502] * vX_[95] - vX_[503] * vX_[95] - vX_[498];
+ vX_[216] = -0.1466472 + vX_[213] * vX_[139] + vX_[243] * vX_[159] - vX_[216] - vX_[240] * vX_[226];
+ vX_[505] = 2. * vX_[216];
+ vX_[506] = vX_[240] / vX_[203];
+ vX_[507] = 0.144171 + vX_[192] - vX_[240] * vX_[506];
+ vX_[244] = 7.467 + vX_[244] - vX_[225] * vX_[226];
+ vX_[508] = vX_[232] * vX_[244] - vX_[212] * vX_[227];
+ vX_[509] = 2. * vX_[230];
+ vX_[510] = vX_[207] * vX_[245] - vX_[232] * vX_[219];
+ vX_[511] = vX_[207] * vX_[219] - vX_[232] * vX_[233];
+ vX_[512] = vX_[510] * vX_[207] - vX_[511] * vX_[232];
+ vX_[513] = vX_[505] * vX_[232] + vX_[507] + vX_[508] * vX_[232] - vX_[509] * vX_[212] - vX_[246] * vX_[212] - vX_[512];
+ vX_[514] = 2. * vX_[231];
+ vX_[515] = vX_[198] / vX_[203];
+ vX_[202] = 0.134705 + vX_[193] + vX_[196] + vX_[192] - vX_[202] - vX_[198] * vX_[515];
+ vX_[192] = vX_[162] * vX_[139] + vX_[168] * vX_[159] - vX_[198] * vX_[226];
+ vX_[516] = 2. * vX_[192];
+ vX_[517] = vX_[212] * vX_[234] - vX_[207] * vX_[244];
+ vX_[518] = vX_[514] * vX_[212] + vX_[202] + vX_[235] * vX_[212] - vX_[516] * vX_[207] - vX_[517] * vX_[207] - vX_[512];
+ vX_[336] = -0.1466472 + vX_[333] * vX_[297] + vX_[363] * vX_[278] - vX_[336] - vX_[360] * vX_[346];
+ vX_[519] = 2. * vX_[336];
+ vX_[520] = vX_[360] / vX_[324];
+ vX_[521] = 0.144171 + vX_[313] - vX_[360] * vX_[520];
+ vX_[364] = 7.467 + vX_[364] - vX_[345] * vX_[346];
+ vX_[522] = vX_[352] * vX_[364] - vX_[332] * vX_[347];
+ vX_[523] = 2. * vX_[350];
+ vX_[524] = vX_[327] * vX_[365] - vX_[352] * vX_[339];
+ vX_[525] = vX_[327] * vX_[339] - vX_[352] * vX_[353];
+ vX_[526] = vX_[524] * vX_[327] - vX_[525] * vX_[352];
+ vX_[527] = vX_[519] * vX_[352] + vX_[521] + vX_[522] * vX_[352] - vX_[523] * vX_[332] - vX_[366] * vX_[332] - vX_[526];
+ vX_[528] = 2. * vX_[351];
+ vX_[529] = vX_[319] / vX_[324];
+ vX_[323] = 0.134705 + vX_[314] + vX_[317] + vX_[313] - vX_[323] - vX_[319] * vX_[529];
+ vX_[313] = vX_[283] * vX_[297] + vX_[289] * vX_[278] - vX_[319] * vX_[346];
+ vX_[530] = 2. * vX_[313];
+ vX_[531] = vX_[332] * vX_[354] - vX_[327] * vX_[364];
+ vX_[532] = vX_[528] * vX_[332] + vX_[323] + vX_[355] * vX_[332] - vX_[530] * vX_[327] - vX_[531] * vX_[327] - vX_[526];
+ vX_[458] = -0.1466472 + vX_[455] * vX_[371] + vX_[485] * vX_[398] - vX_[458] - vX_[482] * vX_[468];
+ vX_[533] = 2. * vX_[458];
+ vX_[534] = vX_[482] / vX_[445];
+ vX_[535] = 0.144171 + vX_[434] - vX_[482] * vX_[534];
+ vX_[486] = 7.467 + vX_[486] - vX_[467] * vX_[468];
+ vX_[536] = vX_[474] * vX_[486] - vX_[454] * vX_[469];
+ vX_[537] = 2. * vX_[472];
+ vX_[538] = vX_[449] * vX_[487] - vX_[474] * vX_[461];
+ vX_[539] = vX_[449] * vX_[461] - vX_[474] * vX_[475];
+ vX_[540] = vX_[538] * vX_[449] - vX_[539] * vX_[474];
+ vX_[541] = vX_[533] * vX_[474] + vX_[535] + vX_[536] * vX_[474] - vX_[537] * vX_[454] - vX_[488] * vX_[454] - vX_[540];
+ vX_[542] = 2. * vX_[473];
+ vX_[543] = vX_[440] / vX_[445];
+ vX_[444] = 0.134705 + vX_[435] + vX_[438] + vX_[434] - vX_[444] - vX_[440] * vX_[543];
+ vX_[434] = vX_[404] * vX_[371] + vX_[410] * vX_[398] - vX_[440] * vX_[468];
+ vX_[544] = 2. * vX_[434];
+ vX_[545] = vX_[454] * vX_[476] - vX_[449] * vX_[486];
+ vX_[546] = vX_[542] * vX_[454] + vX_[444] + vX_[477] * vX_[454] - vX_[544] * vX_[449] - vX_[545] * vX_[449] - vX_[540];
+ vX_[126] = 2. * vX_[126];
+ vX_[547] = 2. * vX_[125];
+ vX_[548] = -3.6e-05 + vX_[126] * vX_[46] + vX_[547] * vX_[13] + vX_[65] * vX_[125] + vX_[46] * vX_[127] - vX_[87] * vX_[492];
+ vX_[549] = vX_[129] * vX_[100] + vX_[548] + vX_[81] * vX_[120] + vX_[503] * vX_[120] - vX_[94] * vX_[100] - vX_[104] * vX_[95] - vX_[117] * vX_[100];
+ vX_[550] = vX_[96] * vX_[504] + vX_[26] * vX_[549];
+ vX_[551] = vX_[96] * vX_[549];
+ vX_[552] = vX_[551] + vX_[26] * vX_[499];
+ vX_[553] = vX_[550] * vX_[96] + vX_[552] * vX_[26];
+ vX_[551] = vX_[98] * vX_[504] + vX_[551];
+ vX_[554] = vX_[98] * vX_[549] + vX_[96] * vX_[499];
+ vX_[555] = vX_[551] * vX_[98] + vX_[554] * vX_[96];
+ vX_[238] = -1 * 2. * vX_[238];
+ vX_[556] = -1 * 2. * vX_[237];
+ vX_[557] = 3.6e-05 + vX_[238] * vX_[160] + vX_[556] * vX_[139] + vX_[139] * vX_[237] + vX_[159] * vX_[239] - vX_[198] * vX_[506];
+ vX_[558] = vX_[241] * vX_[212] + vX_[557] + vX_[192] * vX_[232] + vX_[517] * vX_[232] - vX_[205] * vX_[212] - vX_[216] * vX_[207] - vX_[229] * vX_[212];
+ vX_[559] = vX_[138] * vX_[558];
+ vX_[560] = vX_[209] * vX_[518] + vX_[559];
+ vX_[561] = vX_[209] * vX_[558] + vX_[138] * vX_[513];
+ vX_[562] = vX_[560] * vX_[209] + vX_[561] * vX_[138];
+ vX_[563] = vX_[138] * vX_[518] + vX_[208] * vX_[558];
+ vX_[559] = vX_[559] + vX_[208] * vX_[513];
+ vX_[564] = vX_[563] * vX_[138] + vX_[559] * vX_[208];
+ vX_[358] = 2. * vX_[358];
+ vX_[565] = 2. * vX_[357];
+ vX_[566] = 3.6e-05 + vX_[358] * vX_[278] + vX_[565] * vX_[250] + vX_[297] * vX_[357] + vX_[278] * vX_[359] - vX_[319] * vX_[520];
+ vX_[567] = vX_[361] * vX_[332] + vX_[566] + vX_[313] * vX_[352] + vX_[531] * vX_[352] - vX_[326] * vX_[332] - vX_[336] * vX_[327] - vX_[349] * vX_[332];
+ vX_[568] = vX_[328] * vX_[532] + vX_[249] * vX_[567];
+ vX_[569] = vX_[328] * vX_[567];
+ vX_[570] = vX_[569] + vX_[249] * vX_[527];
+ vX_[571] = vX_[568] * vX_[328] + vX_[570] * vX_[249];
+ vX_[569] = vX_[330] * vX_[532] + vX_[569];
+ vX_[572] = vX_[330] * vX_[567] + vX_[328] * vX_[527];
+ vX_[573] = vX_[569] * vX_[330] + vX_[572] * vX_[328];
+ vX_[480] = -1 * 2. * vX_[480];
+ vX_[574] = -1 * 2. * vX_[479];
+ vX_[575] = -3.6e-05 + vX_[480] * vX_[399] + vX_[574] * vX_[371] + vX_[371] * vX_[479] + vX_[398] * vX_[481] - vX_[440] * vX_[534];
+ vX_[576] = vX_[483] * vX_[454] + vX_[575] + vX_[434] * vX_[474] + vX_[545] * vX_[474] - vX_[447] * vX_[454] - vX_[458] * vX_[449] - vX_[471] * vX_[454];
+ vX_[577] = vX_[370] * vX_[576];
+ vX_[578] = vX_[451] * vX_[546] + vX_[577];
+ vX_[579] = vX_[451] * vX_[576] + vX_[370] * vX_[541];
+ vX_[580] = vX_[578] * vX_[451] + vX_[579] * vX_[370];
+ vX_[581] = vX_[370] * vX_[546] + vX_[450] * vX_[576];
+ vX_[577] = vX_[577] + vX_[450] * vX_[541];
+ vX_[582] = vX_[581] * vX_[370] + vX_[577] * vX_[450];
+ vX_[583] = 1.209488 + vX_[499] + vX_[504] + vX_[498] + vX_[513] + vX_[518] + vX_[512] + vX_[527] + vX_[532] + vX_[526] + vX_[541] + vX_[546] + vX_[540] - vX_[553] - vX_[555] - vX_[562] - vX_[564] - vX_[571] - vX_[573] - vX_[580] - vX_[582];
+ vX_[584] = (0.190812 + vX_[136] + vX_[248] + vX_[368] + vX_[490]) / vX_[583];
+ vX_[585] = -0.33 * vX_[13];
+ vX_[586] = 0.33 * vX_[45];
+ vX_[587] = -0.3735 + vX_[585] * vX_[23] - vX_[586] * vX_[15] - 0.35 * vX_[45];
+ vX_[588] = 0.5 * x_in[0];
+ vX_[589] = cos(vX_[588]);
+ vX_[590] = 0.5 * x_in[1];
+ vX_[591] = cos(vX_[590]);
+ vX_[592] = vX_[589] * vX_[591];
+ vX_[593] = 0.5 * x_in[2];
+ vX_[594] = sin(vX_[593]);
+ vX_[595] = sin(vX_[588]);
+ vX_[596] = sin(vX_[590]);
+ vX_[597] = vX_[595] * vX_[596];
+ vX_[598] = cos(vX_[593]);
+ vX_[599] = vX_[592] * vX_[594] + vX_[597] * vX_[598];
+ vX_[600] = 2. * vX_[599];
+ vX_[601] = vX_[589] * vX_[596];
+ vX_[602] = vX_[595] * vX_[591];
+ vX_[603] = vX_[601] * vX_[598] - vX_[602] * vX_[594];
+ vX_[604] = vX_[600] * vX_[603];
+ vX_[605] = vX_[602] * vX_[598] + vX_[601] * vX_[594];
+ vX_[606] = 2. * vX_[605];
+ vX_[607] = vX_[592] * vX_[598] - vX_[597] * vX_[594];
+ vX_[608] = vX_[606] * vX_[607];
+ vX_[609] = vX_[604] + vX_[608];
+ vX_[610] = 0.5 * x_in[0];
+ vX_[611] = cos(vX_[610]);
+ vX_[612] = 0.5 * x_in[1];
+ vX_[613] = sin(vX_[612]);
+ vX_[614] = vX_[611] * vX_[613];
+ vX_[615] = 0.5 * x_in[2];
+ vX_[616] = cos(vX_[615]);
+ vX_[617] = sin(vX_[610]);
+ vX_[618] = cos(vX_[612]);
+ vX_[619] = vX_[617] * vX_[618];
+ vX_[620] = sin(vX_[615]);
+ vX_[621] = vX_[614] * vX_[616] - vX_[619] * vX_[620];
+ vX_[622] = 2. * vX_[621];
+ vX_[623] = vX_[622] * vX_[621];
+ vX_[624] = vX_[619] * vX_[616] + vX_[614] * vX_[620];
+ vX_[625] = 2. * vX_[624];
+ vX_[626] = vX_[625] * vX_[624];
+ vX_[627] = 1 - vX_[623] - vX_[626];
+ vX_[628] = 0.33 * vX_[26];
+ vX_[629] = vX_[628] * vX_[13];
+ vX_[630] = sin(x_in[17]);
+ vX_[631] = 0.33 * vX_[26];
+ vX_[632] = vX_[631] * vX_[45];
+ vX_[633] = vX_[629] * vX_[630] + vX_[632] * vX_[15];
+ vX_[634] = vX_[628] * vX_[45];
+ vX_[635] = 0.33 * vX_[26];
+ vX_[636] = vX_[635] * vX_[13];
+ vX_[637] = 0.35 * vX_[26];
+ vX_[638] = vX_[634] * vX_[15] + vX_[636] * vX_[630] + vX_[637] * vX_[45];
+ vX_[639] = 0.33 * vX_[96];
+ vX_[640] = vX_[639] * vX_[13];
+ vX_[641] = -0.33 * vX_[96];
+ vX_[642] = vX_[641] * vX_[45];
+ vX_[643] = 0.35 * vX_[96];
+ vX_[644] = vX_[640] * vX_[15] + vX_[642] * vX_[630] + vX_[643] * vX_[13] + 0.08 * vX_[96];
+ vX_[645] = 0.33 * vX_[96];
+ vX_[646] = vX_[645] * vX_[13];
+ vX_[647] = -0.33 * vX_[96];
+ vX_[648] = vX_[647] * vX_[45];
+ vX_[649] = 0.35 * vX_[96];
+ vX_[650] = -0.207 + vX_[646] * vX_[15] + vX_[648] * vX_[630] + vX_[649] * vX_[13] + 0.08 * vX_[96];
+ vX_[651] = -0.33 * vX_[13];
+ vX_[652] = 0.33 * vX_[45];
+ vX_[653] = -0.3735 + vX_[651] * vX_[630] - vX_[652] * vX_[15] - 0.35 * vX_[45];
+ vX_[654] = vX_[633] * x_in[35] + vX_[638] * x_in[34] + vX_[644] * x_in[33] + x_in[23] + x_in[18] * vX_[650] - x_in[19] * vX_[653];
+ vX_[655] = vX_[611] * vX_[618];
+ vX_[656] = vX_[617] * vX_[613];
+ vX_[657] = vX_[655] * vX_[620] + vX_[656] * vX_[616];
+ vX_[658] = 2. * vX_[657];
+ vX_[659] = vX_[658] * vX_[621];
+ vX_[660] = vX_[655] * vX_[616] - vX_[656] * vX_[620];
+ vX_[661] = vX_[625] * vX_[660];
+ vX_[662] = vX_[659] + vX_[661];
+ vX_[663] = -0.33 * vX_[96];
+ vX_[664] = vX_[663] * vX_[13];
+ vX_[665] = 0.33 * vX_[96];
+ vX_[666] = vX_[665] * vX_[45];
+ vX_[667] = vX_[664] * vX_[630] - vX_[666] * vX_[15];
+ vX_[668] = -0.33 * vX_[96];
+ vX_[669] = vX_[668] * vX_[13];
+ vX_[670] = 0.33 * vX_[96];
+ vX_[671] = vX_[670] * vX_[45];
+ vX_[672] = 0.35 * vX_[96];
+ vX_[673] = vX_[669] * vX_[630] - vX_[671] * vX_[15] - vX_[672] * vX_[45];
+ vX_[674] = 0.33 * vX_[26];
+ vX_[675] = vX_[674] * vX_[13];
+ vX_[676] = -0.33 * vX_[26];
+ vX_[677] = vX_[676] * vX_[45];
+ vX_[678] = 0.35 * vX_[26];
+ vX_[679] = vX_[675] * vX_[15] + vX_[677] * vX_[630] + vX_[678] * vX_[13] + 0.08 * vX_[26];
+ vX_[680] = 0.33 * vX_[26];
+ vX_[681] = vX_[680] * vX_[45];
+ vX_[682] = 0.33 * vX_[26];
+ vX_[683] = vX_[682] * vX_[13];
+ vX_[684] = 0.35 * vX_[26];
+ vX_[685] = vX_[681] * vX_[630] - vX_[683] * vX_[15] - vX_[684] * vX_[13] - 0.08 * vX_[26];
+ vX_[686] = vX_[667] * x_in[35] + vX_[673] * x_in[34] + vX_[679] * x_in[33] + x_in[22] + x_in[20] * vX_[653] - x_in[18] * vX_[685];
+ vX_[687] = vX_[658] * vX_[624];
+ vX_[688] = vX_[622] * vX_[660];
+ vX_[689] = vX_[687] - vX_[688];
+ vX_[690] = 0.33 * vX_[45];
+ vX_[691] = 0.33 * vX_[13];
+ vX_[692] = vX_[690] * vX_[630] - vX_[691] * vX_[15];
+ vX_[693] = 0.33 * vX_[45];
+ vX_[694] = 0.33 * vX_[13];
+ vX_[695] = vX_[693] * vX_[630] - vX_[694] * vX_[15] - 0.35 * vX_[13];
+ vX_[696] = vX_[692] * x_in[35] + vX_[695] * x_in[34] + x_in[21] + x_in[19] * vX_[685] - x_in[20] * vX_[650];
+ vX_[697] = -1000. * (vX_[627] * vX_[654] + vX_[662] * vX_[686] + vX_[689] * vX_[696]);
+ vX_[698] = 0.5 * x_in[0];
+ vX_[699] = cos(vX_[698]);
+ vX_[700] = 0.5 * x_in[1];
+ vX_[701] = sin(vX_[700]);
+ vX_[702] = vX_[699] * vX_[701];
+ vX_[703] = 0.5 * x_in[2];
+ vX_[704] = cos(vX_[703]);
+ vX_[705] = sin(vX_[698]);
+ vX_[706] = cos(vX_[700]);
+ vX_[707] = vX_[705] * vX_[706];
+ vX_[708] = sin(vX_[703]);
+ vX_[709] = vX_[702] * vX_[704] - vX_[707] * vX_[708];
+ vX_[710] = 2. * vX_[709];
+ vX_[711] = vX_[707] * vX_[704] + vX_[702] * vX_[708];
+ vX_[712] = 2. * vX_[711];
+ vX_[713] = 1 - vX_[710] * vX_[709] - vX_[712] * vX_[711];
+ vX_[714] = 0.33 * vX_[26];
+ vX_[715] = sin(x_in[16]);
+ vX_[716] = vX_[714] * vX_[715];
+ vX_[717] = 0.33 * vX_[26];
+ vX_[718] = vX_[717] * vX_[13];
+ vX_[719] = 0.35 * vX_[26];
+ vX_[720] = vX_[716] * vX_[630] - vX_[718] * vX_[15] - vX_[719] * vX_[13] - 0.08 * vX_[26];
+ vX_[721] = vX_[699] * vX_[706];
+ vX_[722] = vX_[705] * vX_[701];
+ vX_[723] = 2. * (vX_[721] * vX_[708] + vX_[722] * vX_[704]);
+ vX_[724] = vX_[721] * vX_[704] - vX_[722] * vX_[708];
+ vX_[725] = vX_[723] * vX_[709] + vX_[712] * vX_[724];
+ vX_[726] = 0.33 * vX_[96];
+ vX_[727] = vX_[726] * vX_[13];
+ vX_[728] = -0.33 * vX_[96];
+ vX_[729] = vX_[728] * vX_[715];
+ vX_[730] = 0.35 * vX_[96];
+ vX_[731] = -0.207 + vX_[727] * vX_[15] + vX_[729] * vX_[630] + vX_[730] * vX_[13] + 0.08 * vX_[96];
+ vX_[732] = vX_[723] * vX_[711] - vX_[710] * vX_[724];
+ vX_[733] = -0.33 * vX_[13];
+ vX_[734] = 0.33 * vX_[715];
+ vX_[735] = -0.3735 + vX_[733] * vX_[630] - vX_[734] * vX_[15] - 0.35 * vX_[715];
+ vX_[736] = vX_[713] * vX_[720] + vX_[725] * vX_[731] + vX_[732] * vX_[735] + x_in[5];
+ vX_[737] = exp(100. * vX_[736]);
+ vX_[738] = 1 + vX_[737];
+ vX_[739] = 1 / vX_[738];
+ vX_[740] = -0.5 * sin(vX_[698]);
+ vX_[741] = vX_[740] * vX_[701];
+ vX_[698] = 0.5 * cos(vX_[698]);
+ vX_[742] = vX_[698] * vX_[706];
+ vX_[743] = vX_[741] * vX_[704] - vX_[742] * vX_[708];
+ vX_[744] = 2. * vX_[743];
+ vX_[742] = vX_[742] * vX_[704] + vX_[741] * vX_[708];
+ vX_[741] = 2. * vX_[742];
+ vX_[706] = vX_[740] * vX_[706];
+ vX_[701] = vX_[698] * vX_[701];
+ vX_[745] = 2. * (vX_[706] * vX_[708] + vX_[701] * vX_[704]);
+ vX_[701] = vX_[706] * vX_[704] - vX_[701] * vX_[708];
+ vX_[701] = (0 - (vX_[710] * vX_[743] + vX_[744] * vX_[709]) - (vX_[712] * vX_[742] + vX_[741] * vX_[711])) * vX_[720] + (vX_[723] * vX_[743] + vX_[745] * vX_[709] + vX_[712] * vX_[701] + vX_[741] * vX_[724]) * vX_[731] + (vX_[723] * vX_[742] + vX_[745] * vX_[711] - (vX_[710] * vX_[701] + vX_[744] * vX_[724])) * vX_[735];
+ vX_[745] = ((- vX_[739]) * 100. * vX_[701] * vX_[737]) / vX_[738];
+ vX_[741] = -0.5 * sin(vX_[610]);
+ vX_[742] = vX_[741] * vX_[613];
+ vX_[610] = 0.5 * cos(vX_[610]);
+ vX_[744] = vX_[610] * vX_[618];
+ vX_[743] = vX_[742] * vX_[616] - vX_[744] * vX_[620];
+ vX_[706] = 2. * vX_[743];
+ vX_[746] = vX_[622] * vX_[743] + vX_[706] * vX_[621];
+ vX_[744] = vX_[744] * vX_[616] + vX_[742] * vX_[620];
+ vX_[742] = 2. * vX_[744];
+ vX_[747] = vX_[625] * vX_[744] + vX_[742] * vX_[624];
+ vX_[741] = vX_[741] * vX_[618];
+ vX_[610] = vX_[610] * vX_[613];
+ vX_[613] = vX_[741] * vX_[620] + vX_[610] * vX_[616];
+ vX_[618] = 2. * vX_[613];
+ vX_[743] = vX_[658] * vX_[743] + vX_[618] * vX_[621];
+ vX_[610] = vX_[741] * vX_[616] - vX_[610] * vX_[620];
+ vX_[742] = vX_[625] * vX_[610] + vX_[742] * vX_[660];
+ vX_[741] = vX_[658] * vX_[744] + vX_[618] * vX_[624];
+ vX_[748] = vX_[622] * vX_[610] + vX_[706] * vX_[660];
+ vX_[736] = exp(-100. * (vX_[736] + 0.02));
+ vX_[701] = vX_[697] * vX_[745] + -1000. * ((0 - vX_[746] - vX_[747]) * vX_[654] + (vX_[743] + vX_[742]) * vX_[686] + (vX_[741] - vX_[748]) * vX_[696]) * vX_[739] + 5000. * -100. * vX_[701] * vX_[736];
+ vX_[749] = -0.5 * sin(vX_[588]);
+ vX_[750] = vX_[749] * vX_[596];
+ vX_[588] = 0.5 * cos(vX_[588]);
+ vX_[751] = vX_[588] * vX_[591];
+ vX_[752] = vX_[750] * vX_[598] - vX_[751] * vX_[594];
+ vX_[749] = vX_[749] * vX_[591];
+ vX_[588] = vX_[588] * vX_[596];
+ vX_[596] = vX_[749] * vX_[594] + vX_[588] * vX_[598];
+ vX_[591] = 2. * vX_[596];
+ vX_[753] = vX_[600] * vX_[752] + vX_[591] * vX_[603];
+ vX_[588] = vX_[749] * vX_[598] - vX_[588] * vX_[594];
+ vX_[751] = vX_[751] * vX_[598] + vX_[750] * vX_[594];
+ vX_[750] = 2. * vX_[751];
+ vX_[749] = vX_[606] * vX_[588] + vX_[750] * vX_[607];
+ vX_[754] = vX_[697] * vX_[739] + 5000. * vX_[736];
+ vX_[755] = vX_[600] * vX_[599];
+ vX_[756] = vX_[606] * vX_[605];
+ vX_[757] = 1 - vX_[755] - vX_[756];
+ vX_[661] = vX_[659] - vX_[661];
+ vX_[659] = vX_[658] * vX_[657];
+ vX_[626] = 1 - vX_[659] - vX_[626];
+ vX_[758] = vX_[622] * vX_[624];
+ vX_[759] = vX_[658] * vX_[660];
+ vX_[760] = vX_[758] + vX_[759];
+ vX_[761] = -1000. * (vX_[661] * vX_[654] + vX_[626] * vX_[686] + vX_[760] * vX_[696]);
+ vX_[613] = vX_[658] * vX_[613] + vX_[618] * vX_[657];
+ vX_[744] = vX_[622] * vX_[744] + vX_[706] * vX_[624];
+ vX_[610] = vX_[658] * vX_[610] + vX_[618] * vX_[660];
+ vX_[742] = vX_[761] * vX_[745] + -1000. * ((vX_[743] - vX_[742]) * vX_[654] + (0 - vX_[613] - vX_[747]) * vX_[686] + (vX_[744] + vX_[610]) * vX_[696]) * vX_[739];
+ vX_[596] = vX_[600] * vX_[596] + vX_[591] * vX_[599];
+ vX_[750] = vX_[606] * vX_[751] + vX_[750] * vX_[605];
+ vX_[743] = vX_[761] * vX_[739];
+ vX_[747] = 2. * vX_[603];
+ vX_[618] = vX_[747] * vX_[605];
+ vX_[706] = vX_[600] * vX_[607];
+ vX_[762] = vX_[618] - vX_[706];
+ vX_[688] = vX_[687] + vX_[688];
+ vX_[759] = vX_[758] - vX_[759];
+ vX_[659] = 1 - vX_[659] - vX_[623];
+ vX_[623] = -1000. * (vX_[688] * vX_[654] + vX_[759] * vX_[686] + vX_[659] * vX_[696]);
+ vX_[610] = vX_[623] * vX_[745] + -1000. * ((vX_[741] + vX_[748]) * vX_[654] + (vX_[744] - vX_[610]) * vX_[686] + (0 - vX_[613] - vX_[746]) * vX_[696]) * vX_[739];
+ vX_[744] = 2. * vX_[752];
+ vX_[613] = vX_[747] * vX_[751] + vX_[744] * vX_[605];
+ vX_[748] = vX_[600] * vX_[588] + vX_[591] * vX_[607];
+ vX_[741] = vX_[623] * vX_[739];
+ vX_[746] = vX_[609] * vX_[701] + (vX_[753] + vX_[749]) * vX_[754] + vX_[757] * vX_[742] + (0 - vX_[596] - vX_[750]) * vX_[743] + vX_[762] * vX_[610] + (vX_[613] - vX_[748]) * vX_[741];
+ vX_[745] = 0.33 * vX_[96];
+ vX_[758] = vX_[745] * vX_[13];
+ vX_[687] = -0.33 * vX_[96];
+ vX_[763] = vX_[687] * vX_[45];
+ vX_[764] = 0.35 * vX_[96];
+ vX_[765] = -0.207 + vX_[758] * vX_[15] + vX_[763] * vX_[23] + vX_[764] * vX_[13] + 0.08 * vX_[96];
+ vX_[766] = vX_[600] * vX_[605];
+ vX_[767] = vX_[747] * vX_[607];
+ vX_[768] = vX_[766] - vX_[767];
+ vX_[751] = vX_[600] * vX_[751] + vX_[591] * vX_[605];
+ vX_[588] = vX_[747] * vX_[588] + vX_[744] * vX_[607];
+ vX_[706] = vX_[618] + vX_[706];
+ vX_[618] = vX_[747] * vX_[603];
+ vX_[755] = 1 - vX_[755] - vX_[618];
+ vX_[744] = vX_[747] * vX_[752] + vX_[744] * vX_[603];
+ vX_[748] = vX_[768] * vX_[701] + (vX_[751] - vX_[588]) * vX_[754] + vX_[706] * vX_[742] + (vX_[613] + vX_[748]) * vX_[743] + vX_[755] * vX_[610] + (0 - vX_[596] - vX_[744]) * vX_[741];
+ vX_[613] = vX_[587] * vX_[746] - vX_[765] * vX_[748];
+ vX_[596] = 0.33 * vX_[26];
+ vX_[752] = vX_[596] * vX_[45];
+ vX_[591] = 0.33 * vX_[26];
+ vX_[769] = vX_[591] * vX_[13];
+ vX_[770] = 0.35 * vX_[26];
+ vX_[771] = vX_[752] * vX_[23] - vX_[769] * vX_[15] - vX_[770] * vX_[13] - 0.08 * vX_[26];
+ vX_[618] = 1 - vX_[618] - vX_[756];
+ vX_[608] = vX_[604] - vX_[608];
+ vX_[767] = vX_[766] + vX_[767];
+ vX_[744] = vX_[618] * vX_[701] + (0 - vX_[744] - vX_[750]) * vX_[754] + vX_[608] * vX_[742] + (vX_[753] - vX_[749]) * vX_[743] + vX_[767] * vX_[610] + (vX_[751] + vX_[588]) * vX_[741];
+ vX_[588] = vX_[771] * vX_[748] - vX_[587] * vX_[744];
+ vX_[751] = -0.35 * vX_[26];
+ vX_[610] = vX_[751] * vX_[45] - 0.3735 * vX_[26];
+ vX_[750] = 0.35 * vX_[96];
+ vX_[742] = vX_[750] * vX_[45] + 0.3735 * vX_[96];
+ vX_[749] = 0.08 + 0.35 * vX_[13] - 0.207 * vX_[96];
+ vX_[753] = 0 - vX_[96] * vX_[613] - vX_[26] * vX_[588] - vX_[610] * vX_[744] - vX_[742] * vX_[746] - vX_[749] * vX_[748];
+ vX_[701] = 0 - vX_[753];
+ vX_[766] = 0.35 * vX_[15];
+ vX_[604] = vX_[26] * vX_[13];
+ vX_[756] = vX_[26] * vX_[45];
+ vX_[772] = vX_[604] * vX_[23] + vX_[756] * vX_[15];
+ vX_[773] = 0 - vX_[96];
+ vX_[774] = vX_[773] * vX_[13];
+ vX_[775] = vX_[96] * vX_[45];
+ vX_[776] = vX_[775] * vX_[15];
+ vX_[777] = vX_[774] * vX_[23] - vX_[776];
+ vX_[778] = vX_[45] * vX_[23] - vX_[13] * vX_[15];
+ vX_[779] = (0.1104774 * vX_[701]) / 0.026181 - vX_[772] * vX_[744] - vX_[777] * vX_[746] - vX_[778] * vX_[748];
+ vX_[780] = vX_[604] * vX_[15];
+ vX_[781] = vX_[756] * vX_[23] - vX_[780];
+ vX_[782] = vX_[96] * vX_[13];
+ vX_[783] = vX_[782] * vX_[15] - vX_[775] * vX_[23];
+ vX_[784] = 0 - vX_[13];
+ vX_[785] = vX_[45] * vX_[15];
+ vX_[786] = vX_[784] * vX_[23] - vX_[785];
+ vX_[787] = (0.0004405 * vX_[701]) / 0.026181 - vX_[781] * vX_[744] - vX_[783] * vX_[746] - vX_[786] * vX_[748];
+ vX_[753] = (0.026181 * vX_[701]) / 0.026181 + vX_[753] + vX_[766] * vX_[779] + vX_[25] * vX_[787];
+ vX_[788] = 0 - vX_[753];
+ vX_[789] = 0.08 * vX_[13];
+ vX_[790] = vX_[15] * vX_[779] + vX_[23] * vX_[787] + (vX_[40] * vX_[788]) / vX_[42];
+ vX_[791] = 0 - vX_[23];
+ vX_[787] = vX_[791] * vX_[779] + vX_[15] * vX_[787] + (vX_[53] * vX_[788]) / vX_[42];
+ vX_[779] = 0 - vX_[96];
+ vX_[792] = vX_[779] * vX_[13];
+ vX_[776] = vX_[792] * vX_[23] - vX_[776];
+ vX_[793] = vX_[765] * vX_[744] - vX_[771] * vX_[746];
+ vX_[794] = 0.207 - 0.08 * vX_[96];
+ vX_[795] = 0.3735 * vX_[96];
+ vX_[796] = vX_[794] * vX_[45] + vX_[795] * vX_[13];
+ vX_[797] = 0.08 * vX_[96] - 0.207;
+ vX_[798] = 0.3735 * vX_[96];
+ vX_[799] = vX_[797] * vX_[13] + vX_[798] * vX_[45] + 0.35 * vX_[96];
+ vX_[800] = vX_[796] * vX_[23] + vX_[799] * vX_[15];
+ vX_[801] = 0.3735 * vX_[26];
+ vX_[802] = 0.08 * vX_[26];
+ vX_[803] = vX_[801] * vX_[13] - vX_[802] * vX_[45];
+ vX_[804] = 0.08 * vX_[26];
+ vX_[805] = 0.3735 * vX_[26];
+ vX_[806] = vX_[804] * vX_[13] + vX_[805] * vX_[45] + 0.35 * vX_[26];
+ vX_[807] = vX_[803] * vX_[23] + vX_[806] * vX_[15];
+ vX_[808] = -0.207 * vX_[26];
+ vX_[809] = vX_[808] * vX_[13];
+ vX_[810] = 0.207 * vX_[26];
+ vX_[811] = vX_[810] * vX_[45];
+ vX_[812] = vX_[809] * vX_[23] - vX_[811] * vX_[15];
+ vX_[813] = 0 - vX_[772] * vX_[613] - vX_[776] * vX_[588] - vX_[778] * vX_[793] - vX_[800] * vX_[744] - vX_[807] * vX_[746] - vX_[812] * vX_[748];
+ vX_[780] = vX_[756] * vX_[23] - vX_[780];
+ vX_[814] = 0 - vX_[13];
+ vX_[785] = vX_[814] * vX_[23] - vX_[785];
+ vX_[815] = 0.08 * vX_[96] - 0.207;
+ vX_[816] = 0.3735 * vX_[96];
+ vX_[817] = vX_[815] * vX_[13] + vX_[816] * vX_[45] + 0.35 * vX_[96];
+ vX_[818] = 0.08 * vX_[96] - 0.207;
+ vX_[819] = 0.3735 * vX_[96];
+ vX_[820] = vX_[818] * vX_[45] - vX_[819] * vX_[13];
+ vX_[821] = vX_[817] * vX_[23] + vX_[820] * vX_[15];
+ vX_[822] = 0.08 * vX_[26];
+ vX_[823] = 0.3735 * vX_[26];
+ vX_[824] = vX_[822] * vX_[13] + vX_[823] * vX_[45] + 0.35 * vX_[26];
+ vX_[825] = 0.08 * vX_[26];
+ vX_[826] = 0.3735 * vX_[26];
+ vX_[827] = vX_[825] * vX_[45] - vX_[826] * vX_[13];
+ vX_[828] = vX_[824] * vX_[23] + vX_[827] * vX_[15];
+ vX_[829] = 0.207 * vX_[26];
+ vX_[830] = vX_[829] * vX_[13];
+ vX_[831] = 0.207 * vX_[26];
+ vX_[832] = vX_[831] * vX_[45];
+ vX_[833] = vX_[830] * vX_[15] - vX_[832] * vX_[23];
+ vX_[793] = 0 - vX_[780] * vX_[613] - vX_[783] * vX_[588] - vX_[785] * vX_[793] - vX_[821] * vX_[744] - vX_[828] * vX_[746] - vX_[833] * vX_[748];
+ vX_[744] = 0 - vX_[96] * vX_[744] - vX_[26] * vX_[746];
+ vX_[746] = vX_[15] * vX_[813] + vX_[23] * vX_[793] + -0.35 * vX_[744] + (vX_[49] * vX_[788]) / vX_[42];
+ vX_[793] = vX_[20] * vX_[813] + vX_[15] * vX_[793] + (vX_[30] * vX_[788]) / vX_[42];
+ vX_[813] = vX_[65] * vX_[746] + vX_[46] * vX_[793] + 0.08 * vX_[744];
+ vX_[588] = 0 - vX_[813];
+ vX_[753] = (vX_[42] * vX_[788]) / vX_[42] + vX_[753] + vX_[789] * vX_[790] + vX_[67] * vX_[787] + (vX_[128] * vX_[588]) / vX_[92];
+ vX_[793] = vX_[46] * vX_[746] + vX_[13] * vX_[793] + (vX_[87] * vX_[588]) / vX_[92];
+ vX_[746] = 0 - vX_[13];
+ vX_[613] = 0 - vX_[45];
+ vX_[748] = vX_[746] * vX_[790] + vX_[613] * vX_[787] + (vX_[113] * vX_[588]) / vX_[92];
+ vX_[744] = vX_[744] + (vX_[105] * vX_[588]) / vX_[92];
+ vX_[834] = -0.3735 * vX_[96];
+ vX_[835] = 0 - vX_[45];
+ vX_[787] = vX_[835] * vX_[790] + vX_[13] * vX_[787] + (vX_[90] * vX_[588]) / vX_[92];
+ vX_[790] = -0.08 * vX_[139];
+ vX_[836] = 0 - vX_[208];
+ vX_[837] = -0.33 * vX_[139];
+ vX_[838] = 0.33 * vX_[159];
+ vX_[839] = -0.3735 + vX_[837] * vX_[140] - vX_[838] * vX_[142] - 0.35 * vX_[159];
+ vX_[840] = 0.5 * x_in[0];
+ vX_[841] = cos(vX_[840]);
+ vX_[842] = 0.5 * x_in[1];
+ vX_[843] = cos(vX_[842]);
+ vX_[844] = vX_[841] * vX_[843];
+ vX_[845] = 0.5 * x_in[2];
+ vX_[846] = sin(vX_[845]);
+ vX_[847] = sin(vX_[840]);
+ vX_[848] = sin(vX_[842]);
+ vX_[849] = vX_[847] * vX_[848];
+ vX_[850] = cos(vX_[845]);
+ vX_[851] = vX_[844] * vX_[846] + vX_[849] * vX_[850];
+ vX_[852] = 2. * vX_[851];
+ vX_[853] = vX_[841] * vX_[848];
+ vX_[854] = vX_[847] * vX_[843];
+ vX_[855] = vX_[853] * vX_[850] - vX_[854] * vX_[846];
+ vX_[856] = vX_[852] * vX_[855];
+ vX_[857] = vX_[854] * vX_[850] + vX_[853] * vX_[846];
+ vX_[858] = 2. * vX_[857];
+ vX_[859] = vX_[844] * vX_[850] - vX_[849] * vX_[846];
+ vX_[860] = vX_[858] * vX_[859];
+ vX_[861] = vX_[856] + vX_[860];
+ vX_[862] = 0.5 * x_in[0];
+ vX_[863] = cos(vX_[862]);
+ vX_[864] = 0.5 * x_in[1];
+ vX_[865] = sin(vX_[864]);
+ vX_[866] = vX_[863] * vX_[865];
+ vX_[867] = 0.5 * x_in[2];
+ vX_[868] = cos(vX_[867]);
+ vX_[869] = sin(vX_[862]);
+ vX_[870] = cos(vX_[864]);
+ vX_[871] = vX_[869] * vX_[870];
+ vX_[872] = sin(vX_[867]);
+ vX_[873] = vX_[866] * vX_[868] - vX_[871] * vX_[872];
+ vX_[874] = 2. * vX_[873];
+ vX_[875] = vX_[874] * vX_[873];
+ vX_[876] = vX_[871] * vX_[868] + vX_[866] * vX_[872];
+ vX_[877] = 2. * vX_[876];
+ vX_[878] = vX_[877] * vX_[876];
+ vX_[879] = 1 - vX_[875] - vX_[878];
+ vX_[880] = 0.33 * vX_[137];
+ vX_[881] = vX_[880] * vX_[139];
+ vX_[882] = sin(x_in[14]);
+ vX_[883] = 0.33 * vX_[137];
+ vX_[884] = sin(x_in[13]);
+ vX_[885] = vX_[883] * vX_[884];
+ vX_[886] = vX_[881] * vX_[882] + vX_[885] * vX_[142];
+ vX_[887] = vX_[880] * vX_[884];
+ vX_[888] = 0.33 * vX_[137];
+ vX_[889] = vX_[888] * vX_[139];
+ vX_[890] = 0.35 * vX_[137];
+ vX_[891] = vX_[887] * vX_[142] + vX_[889] * vX_[882] + vX_[890] * vX_[884];
+ vX_[892] = sin(x_in[12]);
+ vX_[893] = 0.33 * vX_[892];
+ vX_[894] = vX_[893] * vX_[139];
+ vX_[895] = -0.33 * vX_[892];
+ vX_[896] = vX_[895] * vX_[884];
+ vX_[897] = 0.35 * vX_[892];
+ vX_[898] = vX_[894] * vX_[142] + vX_[896] * vX_[882] + vX_[897] * vX_[139] + 0.08 * vX_[892];
+ vX_[899] = 0.33 * vX_[892];
+ vX_[900] = vX_[899] * vX_[884];
+ vX_[901] = 0.33 * vX_[892];
+ vX_[902] = vX_[901] * vX_[139];
+ vX_[903] = 0.35 * vX_[892];
+ vX_[904] = 0.207 + vX_[900] * vX_[882] - vX_[902] * vX_[142] - vX_[903] * vX_[139] - 0.08 * vX_[892];
+ vX_[905] = -0.33 * vX_[139];
+ vX_[906] = 0.33 * vX_[884];
+ vX_[907] = -0.3735 + vX_[905] * vX_[882] - vX_[906] * vX_[142] - 0.35 * vX_[884];
+ vX_[908] = vX_[886] * x_in[32] + vX_[891] * x_in[31] + vX_[898] * x_in[30] + x_in[23] + x_in[18] * vX_[904] - x_in[19] * vX_[907];
+ vX_[909] = vX_[863] * vX_[870];
+ vX_[910] = vX_[869] * vX_[865];
+ vX_[911] = vX_[909] * vX_[872] + vX_[910] * vX_[868];
+ vX_[912] = 2. * vX_[911];
+ vX_[913] = vX_[912] * vX_[873];
+ vX_[914] = vX_[909] * vX_[868] - vX_[910] * vX_[872];
+ vX_[915] = vX_[877] * vX_[914];
+ vX_[916] = vX_[913] + vX_[915];
+ vX_[917] = 0.33 * vX_[892];
+ vX_[918] = vX_[917] * vX_[139];
+ vX_[919] = 0.33 * vX_[892];
+ vX_[920] = vX_[919] * vX_[884];
+ vX_[921] = vX_[918] * vX_[882] + vX_[920] * vX_[142];
+ vX_[922] = vX_[917] * vX_[884];
+ vX_[923] = 0.33 * vX_[892];
+ vX_[924] = vX_[923] * vX_[139];
+ vX_[925] = 0.35 * vX_[892];
+ vX_[926] = vX_[922] * vX_[142] + vX_[924] * vX_[882] + vX_[925] * vX_[884];
+ vX_[927] = 0.33 * vX_[137];
+ vX_[928] = vX_[927] * vX_[884];
+ vX_[929] = 0.33 * vX_[137];
+ vX_[930] = vX_[929] * vX_[139];
+ vX_[931] = 0.35 * vX_[137];
+ vX_[932] = vX_[928] * vX_[882] - vX_[930] * vX_[142] - vX_[931] * vX_[139] - 0.08 * vX_[137];
+ vX_[933] = 0.33 * vX_[137];
+ vX_[934] = vX_[933] * vX_[884];
+ vX_[935] = 0.33 * vX_[137];
+ vX_[936] = vX_[935] * vX_[139];
+ vX_[937] = 0.35 * vX_[137];
+ vX_[938] = vX_[934] * vX_[882] - vX_[936] * vX_[142] - vX_[937] * vX_[139] - 0.08 * vX_[137];
+ vX_[939] = vX_[921] * x_in[32] + vX_[926] * x_in[31] + vX_[932] * x_in[30] + x_in[22] + x_in[20] * vX_[907] - x_in[18] * vX_[938];
+ vX_[940] = vX_[912] * vX_[876];
+ vX_[941] = vX_[874] * vX_[914];
+ vX_[942] = vX_[940] - vX_[941];
+ vX_[943] = 0.33 * vX_[884];
+ vX_[944] = 0.33 * vX_[139];
+ vX_[945] = vX_[943] * vX_[882] - vX_[944] * vX_[142];
+ vX_[946] = 0.33 * vX_[884];
+ vX_[947] = 0.33 * vX_[139];
+ vX_[948] = vX_[946] * vX_[882] - vX_[947] * vX_[142] - 0.35 * vX_[139];
+ vX_[949] = vX_[945] * x_in[32] + vX_[948] * x_in[31] + x_in[21] + x_in[19] * vX_[938] - x_in[20] * vX_[904];
+ vX_[950] = -1000. * (vX_[879] * vX_[908] + vX_[916] * vX_[939] + vX_[942] * vX_[949]);
+ vX_[951] = 0.5 * x_in[0];
+ vX_[952] = cos(vX_[951]);
+ vX_[953] = 0.5 * x_in[1];
+ vX_[954] = sin(vX_[953]);
+ vX_[955] = vX_[952] * vX_[954];
+ vX_[956] = 0.5 * x_in[2];
+ vX_[957] = cos(vX_[956]);
+ vX_[958] = sin(vX_[951]);
+ vX_[959] = cos(vX_[953]);
+ vX_[960] = vX_[958] * vX_[959];
+ vX_[961] = sin(vX_[956]);
+ vX_[962] = vX_[955] * vX_[957] - vX_[960] * vX_[961];
+ vX_[963] = 2. * vX_[962];
+ vX_[964] = vX_[960] * vX_[957] + vX_[955] * vX_[961];
+ vX_[965] = 2. * vX_[964];
+ vX_[966] = 1 - vX_[963] * vX_[962] - vX_[965] * vX_[964];
+ vX_[967] = 0.33 * vX_[137];
+ vX_[968] = vX_[967] * vX_[884];
+ vX_[969] = sin(x_in[14]);
+ vX_[970] = 0.33 * vX_[137];
+ vX_[971] = vX_[970] * vX_[139];
+ vX_[972] = 0.35 * vX_[137];
+ vX_[973] = vX_[968] * vX_[969] - vX_[971] * vX_[142] - vX_[972] * vX_[139] - 0.08 * vX_[137];
+ vX_[974] = vX_[952] * vX_[959];
+ vX_[975] = vX_[958] * vX_[954];
+ vX_[976] = 2. * (vX_[974] * vX_[961] + vX_[975] * vX_[957]);
+ vX_[977] = vX_[974] * vX_[957] - vX_[975] * vX_[961];
+ vX_[978] = vX_[976] * vX_[962] + vX_[965] * vX_[977];
+ vX_[979] = 0.33 * vX_[892];
+ vX_[980] = vX_[979] * vX_[884];
+ vX_[981] = 0.33 * vX_[892];
+ vX_[982] = vX_[981] * vX_[139];
+ vX_[983] = 0.35 * vX_[892];
+ vX_[892] = 0.207 + vX_[980] * vX_[969] - vX_[982] * vX_[142] - vX_[983] * vX_[139] - 0.08 * vX_[892];
+ vX_[984] = vX_[976] * vX_[964] - vX_[963] * vX_[977];
+ vX_[985] = -0.33 * vX_[139];
+ vX_[986] = 0.33 * vX_[884];
+ vX_[987] = -0.3735 + vX_[985] * vX_[969] - vX_[986] * vX_[142] - 0.35 * vX_[884];
+ vX_[988] = vX_[966] * vX_[973] + vX_[978] * vX_[892] + vX_[984] * vX_[987] + x_in[5];
+ vX_[989] = exp(100. * vX_[988]);
+ vX_[990] = 1 + vX_[989];
+ vX_[991] = 1 / vX_[990];
+ vX_[992] = -0.5 * sin(vX_[951]);
+ vX_[993] = vX_[992] * vX_[954];
+ vX_[951] = 0.5 * cos(vX_[951]);
+ vX_[994] = vX_[951] * vX_[959];
+ vX_[995] = vX_[993] * vX_[957] - vX_[994] * vX_[961];
+ vX_[996] = 2. * vX_[995];
+ vX_[994] = vX_[994] * vX_[957] + vX_[993] * vX_[961];
+ vX_[993] = 2. * vX_[994];
+ vX_[992] = vX_[992] * vX_[959];
+ vX_[951] = vX_[951] * vX_[954];
+ vX_[954] = 2. * (vX_[992] * vX_[961] + vX_[951] * vX_[957]);
+ vX_[951] = vX_[992] * vX_[957] - vX_[951] * vX_[961];
+ vX_[951] = (0 - (vX_[963] * vX_[995] + vX_[996] * vX_[962]) - (vX_[965] * vX_[994] + vX_[993] * vX_[964])) * vX_[973] + (vX_[976] * vX_[995] + vX_[954] * vX_[962] + vX_[965] * vX_[951] + vX_[993] * vX_[977]) * vX_[892] + (vX_[976] * vX_[994] + vX_[954] * vX_[964] - (vX_[963] * vX_[951] + vX_[996] * vX_[977])) * vX_[987];
+ vX_[954] = ((- vX_[991]) * 100. * vX_[951] * vX_[989]) / vX_[990];
+ vX_[993] = -0.5 * sin(vX_[862]);
+ vX_[994] = vX_[993] * vX_[865];
+ vX_[862] = 0.5 * cos(vX_[862]);
+ vX_[996] = vX_[862] * vX_[870];
+ vX_[995] = vX_[994] * vX_[868] - vX_[996] * vX_[872];
+ vX_[992] = 2. * vX_[995];
+ vX_[959] = vX_[874] * vX_[995] + vX_[992] * vX_[873];
+ vX_[996] = vX_[996] * vX_[868] + vX_[994] * vX_[872];
+ vX_[994] = 2. * vX_[996];
+ vX_[997] = vX_[877] * vX_[996] + vX_[994] * vX_[876];
+ vX_[993] = vX_[993] * vX_[870];
+ vX_[862] = vX_[862] * vX_[865];
+ vX_[865] = vX_[993] * vX_[872] + vX_[862] * vX_[868];
+ vX_[870] = 2. * vX_[865];
+ vX_[995] = vX_[912] * vX_[995] + vX_[870] * vX_[873];
+ vX_[862] = vX_[993] * vX_[868] - vX_[862] * vX_[872];
+ vX_[994] = vX_[877] * vX_[862] + vX_[994] * vX_[914];
+ vX_[993] = vX_[912] * vX_[996] + vX_[870] * vX_[876];
+ vX_[998] = vX_[874] * vX_[862] + vX_[992] * vX_[914];
+ vX_[988] = exp(-100. * (vX_[988] + 0.02));
+ vX_[951] = vX_[950] * vX_[954] + -1000. * ((0 - vX_[959] - vX_[997]) * vX_[908] + (vX_[995] + vX_[994]) * vX_[939] + (vX_[993] - vX_[998]) * vX_[949]) * vX_[991] + 5000. * -100. * vX_[951] * vX_[988];
+ vX_[999] = -0.5 * sin(vX_[840]);
+ vX_[1000] = vX_[999] * vX_[848];
+ vX_[840] = 0.5 * cos(vX_[840]);
+ vX_[1001] = vX_[840] * vX_[843];
+ vX_[1002] = vX_[1000] * vX_[850] - vX_[1001] * vX_[846];
+ vX_[999] = vX_[999] * vX_[843];
+ vX_[840] = vX_[840] * vX_[848];
+ vX_[848] = vX_[999] * vX_[846] + vX_[840] * vX_[850];
+ vX_[843] = 2. * vX_[848];
+ vX_[1003] = vX_[852] * vX_[1002] + vX_[843] * vX_[855];
+ vX_[840] = vX_[999] * vX_[850] - vX_[840] * vX_[846];
+ vX_[1001] = vX_[1001] * vX_[850] + vX_[1000] * vX_[846];
+ vX_[1000] = 2. * vX_[1001];
+ vX_[999] = vX_[858] * vX_[840] + vX_[1000] * vX_[859];
+ vX_[1004] = vX_[950] * vX_[991] + 5000. * vX_[988];
+ vX_[1005] = vX_[852] * vX_[851];
+ vX_[1006] = vX_[858] * vX_[857];
+ vX_[1007] = 1 - vX_[1005] - vX_[1006];
+ vX_[915] = vX_[913] - vX_[915];
+ vX_[913] = vX_[912] * vX_[911];
+ vX_[878] = 1 - vX_[913] - vX_[878];
+ vX_[1008] = vX_[874] * vX_[876];
+ vX_[1009] = vX_[912] * vX_[914];
+ vX_[1010] = vX_[1008] + vX_[1009];
+ vX_[1011] = -1000. * (vX_[915] * vX_[908] + vX_[878] * vX_[939] + vX_[1010] * vX_[949]);
+ vX_[865] = vX_[912] * vX_[865] + vX_[870] * vX_[911];
+ vX_[996] = vX_[874] * vX_[996] + vX_[992] * vX_[876];
+ vX_[862] = vX_[912] * vX_[862] + vX_[870] * vX_[914];
+ vX_[994] = vX_[1011] * vX_[954] + -1000. * ((vX_[995] - vX_[994]) * vX_[908] + (0 - vX_[865] - vX_[997]) * vX_[939] + (vX_[996] + vX_[862]) * vX_[949]) * vX_[991];
+ vX_[848] = vX_[852] * vX_[848] + vX_[843] * vX_[851];
+ vX_[1000] = vX_[858] * vX_[1001] + vX_[1000] * vX_[857];
+ vX_[995] = vX_[1011] * vX_[991];
+ vX_[997] = 2. * vX_[855];
+ vX_[870] = vX_[997] * vX_[857];
+ vX_[992] = vX_[852] * vX_[859];
+ vX_[1012] = vX_[870] - vX_[992];
+ vX_[941] = vX_[940] + vX_[941];
+ vX_[1009] = vX_[1008] - vX_[1009];
+ vX_[913] = 1 - vX_[913] - vX_[875];
+ vX_[875] = -1000. * (vX_[941] * vX_[908] + vX_[1009] * vX_[939] + vX_[913] * vX_[949]);
+ vX_[862] = vX_[875] * vX_[954] + -1000. * ((vX_[993] + vX_[998]) * vX_[908] + (vX_[996] - vX_[862]) * vX_[939] + (0 - vX_[865] - vX_[959]) * vX_[949]) * vX_[991];
+ vX_[996] = 2. * vX_[1002];
+ vX_[865] = vX_[997] * vX_[1001] + vX_[996] * vX_[857];
+ vX_[998] = vX_[852] * vX_[840] + vX_[843] * vX_[859];
+ vX_[993] = vX_[875] * vX_[991];
+ vX_[959] = vX_[861] * vX_[951] + (vX_[1003] + vX_[999]) * vX_[1004] + vX_[1007] * vX_[994] + (0 - vX_[848] - vX_[1000]) * vX_[995] + vX_[1012] * vX_[862] + (vX_[865] - vX_[998]) * vX_[993];
+ vX_[954] = 0.33 * vX_[208];
+ vX_[1008] = vX_[954] * vX_[159];
+ vX_[940] = 0.33 * vX_[208];
+ vX_[1013] = vX_[940] * vX_[139];
+ vX_[1014] = 0.35 * vX_[208];
+ vX_[1015] = 0.207 + vX_[1008] * vX_[140] - vX_[1013] * vX_[142] - vX_[1014] * vX_[139] - 0.08 * vX_[208];
+ vX_[1016] = vX_[852] * vX_[857];
+ vX_[1017] = vX_[997] * vX_[859];
+ vX_[1018] = vX_[1016] - vX_[1017];
+ vX_[1001] = vX_[852] * vX_[1001] + vX_[843] * vX_[857];
+ vX_[840] = vX_[997] * vX_[840] + vX_[996] * vX_[859];
+ vX_[992] = vX_[870] + vX_[992];
+ vX_[870] = vX_[997] * vX_[855];
+ vX_[1005] = 1 - vX_[1005] - vX_[870];
+ vX_[996] = vX_[997] * vX_[1002] + vX_[996] * vX_[855];
+ vX_[998] = vX_[1018] * vX_[951] + (vX_[1001] - vX_[840]) * vX_[1004] + vX_[992] * vX_[994] + (vX_[865] + vX_[998]) * vX_[995] + vX_[1005] * vX_[862] + (0 - vX_[848] - vX_[996]) * vX_[993];
+ vX_[865] = vX_[839] * vX_[959] - vX_[1015] * vX_[998];
+ vX_[848] = 0.33 * vX_[137];
+ vX_[1002] = vX_[848] * vX_[159];
+ vX_[843] = 0.33 * vX_[137];
+ vX_[1019] = vX_[843] * vX_[139];
+ vX_[1020] = 0.35 * vX_[137];
+ vX_[1021] = vX_[1002] * vX_[140] - vX_[1019] * vX_[142] - vX_[1020] * vX_[139] - 0.08 * vX_[137];
+ vX_[870] = 1 - vX_[870] - vX_[1006];
+ vX_[860] = vX_[856] - vX_[860];
+ vX_[1017] = vX_[1016] + vX_[1017];
+ vX_[996] = vX_[870] * vX_[951] + (0 - vX_[996] - vX_[1000]) * vX_[1004] + vX_[860] * vX_[994] + (vX_[1003] - vX_[999]) * vX_[995] + vX_[1017] * vX_[862] + (vX_[1001] + vX_[840]) * vX_[993];
+ vX_[840] = vX_[1021] * vX_[998] - vX_[839] * vX_[996];
+ vX_[1001] = -0.35 * vX_[137];
+ vX_[862] = vX_[1001] * vX_[159] - 0.3735 * vX_[137];
+ vX_[1000] = -0.35 * vX_[208];
+ vX_[994] = vX_[1000] * vX_[159] - 0.3735 * vX_[208];
+ vX_[999] = 0.08 + 0.35 * vX_[139] - 0.207 * vX_[208];
+ vX_[1003] = 0 - vX_[836] * vX_[865] - vX_[137] * vX_[840] - vX_[862] * vX_[996] - vX_[994] * vX_[959] - vX_[999] * vX_[998];
+ vX_[951] = 0 - vX_[1003];
+ vX_[1016] = vX_[137] * vX_[139];
+ vX_[856] = vX_[137] * vX_[159];
+ vX_[1006] = vX_[1016] * vX_[140] + vX_[856] * vX_[142];
+ vX_[1022] = vX_[208] * vX_[139];
+ vX_[1023] = vX_[208] * vX_[159];
+ vX_[1024] = vX_[1023] * vX_[142];
+ vX_[1025] = vX_[1022] * vX_[140] + vX_[1024];
+ vX_[1026] = vX_[159] * vX_[140] - vX_[139] * vX_[142];
+ vX_[1027] = (0.110125 * vX_[951]) / 0.026181 - vX_[1006] * vX_[996] - vX_[1025] * vX_[959] - vX_[1026] * vX_[998];
+ vX_[1028] = vX_[856] * vX_[140] - vX_[1016] * vX_[142];
+ vX_[1029] = vX_[1023] * vX_[140];
+ vX_[1030] = vX_[1029] - vX_[1022] * vX_[142];
+ vX_[1031] = 0 - vX_[139];
+ vX_[1032] = vX_[1031] * vX_[140] - vX_[159] * vX_[142];
+ vX_[1033] = (0.000881 * vX_[951]) / 0.026181 - vX_[1028] * vX_[996] - vX_[1030] * vX_[959] - vX_[1032] * vX_[998];
+ vX_[1034] = 0.35 * vX_[142];
+ vX_[1003] = (0.026181 * vX_[951]) / 0.026181 + vX_[1003] + vX_[1034] * vX_[1027] + vX_[141] * vX_[1033];
+ vX_[1035] = 0 - vX_[1003];
+ vX_[1036] = vX_[142] * vX_[1027] + vX_[140] * vX_[1033] + (vX_[154] * vX_[1035]) / vX_[156];
+ vX_[1037] = 0 - vX_[140];
+ vX_[1033] = vX_[1037] * vX_[1027] + vX_[142] * vX_[1033] + (vX_[164] * vX_[1035]) / vX_[156];
+ vX_[1027] = vX_[208] * vX_[139];
+ vX_[1024] = vX_[1027] * vX_[140] + vX_[1024];
+ vX_[1038] = vX_[1015] * vX_[996] - vX_[1021] * vX_[959];
+ vX_[1039] = 0.08 * vX_[208] - 0.207;
+ vX_[1040] = 0.3735 * vX_[208];
+ vX_[1041] = vX_[1039] * vX_[159] - vX_[1040] * vX_[139];
+ vX_[1042] = 0.207 - 0.08 * vX_[208];
+ vX_[1043] = -0.3735 * vX_[208];
+ vX_[1044] = vX_[1042] * vX_[139] + vX_[1043] * vX_[159] - 0.35 * vX_[208];
+ vX_[1045] = vX_[1041] * vX_[140] + vX_[1044] * vX_[142];
+ vX_[1046] = 0.3735 * vX_[137];
+ vX_[1047] = 0.08 * vX_[137];
+ vX_[1048] = vX_[1046] * vX_[139] - vX_[1047] * vX_[159];
+ vX_[1049] = 0.08 * vX_[137];
+ vX_[1050] = 0.3735 * vX_[137];
+ vX_[1051] = vX_[1049] * vX_[139] + vX_[1050] * vX_[159] + 0.35 * vX_[137];
+ vX_[1052] = vX_[1048] * vX_[140] + vX_[1051] * vX_[142];
+ vX_[1053] = 0.207 * vX_[137];
+ vX_[1054] = vX_[1053] * vX_[139];
+ vX_[1055] = 0.207 * vX_[137];
+ vX_[1056] = vX_[1055] * vX_[159];
+ vX_[1057] = vX_[1054] * vX_[140] + vX_[1056] * vX_[142];
+ vX_[1058] = 0 - vX_[1006] * vX_[865] - vX_[1024] * vX_[840] - vX_[1026] * vX_[1038] - vX_[1045] * vX_[996] - vX_[1052] * vX_[959] - vX_[1057] * vX_[998];
+ vX_[1029] = vX_[1029] - vX_[1027] * vX_[142];
+ vX_[1059] = 0 - vX_[139];
+ vX_[1060] = vX_[1059] * vX_[140] - vX_[159] * vX_[142];
+ vX_[1061] = 0.207 - 0.08 * vX_[208];
+ vX_[1062] = -0.3735 * vX_[208];
+ vX_[1063] = vX_[1061] * vX_[139] + vX_[1062] * vX_[159] - 0.35 * vX_[208];
+ vX_[1064] = 0.207 - 0.08 * vX_[208];
+ vX_[1065] = 0.3735 * vX_[208];
+ vX_[1066] = vX_[1064] * vX_[159] + vX_[1065] * vX_[139];
+ vX_[1067] = vX_[1063] * vX_[140] + vX_[1066] * vX_[142];
+ vX_[1068] = 0.08 * vX_[137];
+ vX_[1069] = 0.3735 * vX_[137];
+ vX_[1070] = vX_[1068] * vX_[139] + vX_[1069] * vX_[159] + 0.35 * vX_[137];
+ vX_[1071] = 0.08 * vX_[137];
+ vX_[1072] = 0.3735 * vX_[137];
+ vX_[1073] = vX_[1071] * vX_[159] - vX_[1072] * vX_[139];
+ vX_[1074] = vX_[1070] * vX_[140] + vX_[1073] * vX_[142];
+ vX_[1075] = vX_[1053] * vX_[159];
+ vX_[1076] = 0.207 * vX_[137];
+ vX_[1077] = vX_[1076] * vX_[139];
+ vX_[1078] = vX_[1075] * vX_[140] - vX_[1077] * vX_[142];
+ vX_[1038] = 0 - vX_[1028] * vX_[865] - vX_[1029] * vX_[840] - vX_[1060] * vX_[1038] - vX_[1067] * vX_[996] - vX_[1074] * vX_[959] - vX_[1078] * vX_[998];
+ vX_[840] = 0 - vX_[208];
+ vX_[996] = 0 - vX_[840] * vX_[996] - vX_[137] * vX_[959];
+ vX_[959] = vX_[142] * vX_[1058] + vX_[140] * vX_[1038] + -0.35 * vX_[996] + (2.1e-05 * vX_[1035]) / vX_[156];
+ vX_[1038] = vX_[152] * vX_[1058] + vX_[142] * vX_[1038] + (-0.000102 * vX_[1035]) / vX_[156];
+ vX_[1058] = vX_[139] * vX_[959] + vX_[159] * vX_[1038] + -0.08 * vX_[996];
+ vX_[865] = 0 - vX_[1058];
+ vX_[1003] = vX_[790] * vX_[1036] + vX_[177] * vX_[1033] + -1 * (vX_[1003] + (vX_[156] * vX_[1035]) / vX_[156]) + (vX_[240] * vX_[865]) / vX_[203];
+ vX_[1038] = vX_[160] * vX_[959] + vX_[139] * vX_[1038] + (vX_[198] * vX_[865]) / vX_[203];
+ vX_[959] = vX_[139] * vX_[1036] + vX_[159] * vX_[1033] + (vX_[225] * vX_[865]) / vX_[203];
+ vX_[996] = -1 * vX_[996] + (vX_[217] * vX_[865]) / vX_[203];
+ vX_[998] = 0.3735 * vX_[208];
+ vX_[1079] = 0 - vX_[159];
+ vX_[1033] = vX_[1079] * vX_[1036] + vX_[139] * vX_[1033] + (vX_[201] * vX_[865]) / vX_[203];
+ vX_[1036] = -0.33 * vX_[250];
+ vX_[1080] = 0.33 * vX_[277];
+ vX_[1081] = 0.3735 + vX_[1036] * vX_[253] - vX_[1080] * vX_[251] - 0.35 * vX_[277];
+ vX_[1082] = 0.5 * x_in[0];
+ vX_[1083] = cos(vX_[1082]);
+ vX_[1084] = 0.5 * x_in[1];
+ vX_[1085] = cos(vX_[1084]);
+ vX_[1086] = vX_[1083] * vX_[1085];
+ vX_[1087] = 0.5 * x_in[2];
+ vX_[1088] = sin(vX_[1087]);
+ vX_[1089] = sin(vX_[1082]);
+ vX_[1090] = sin(vX_[1084]);
+ vX_[1091] = vX_[1089] * vX_[1090];
+ vX_[1092] = cos(vX_[1087]);
+ vX_[1093] = vX_[1086] * vX_[1088] + vX_[1091] * vX_[1092];
+ vX_[1094] = 2. * vX_[1093];
+ vX_[1095] = vX_[1083] * vX_[1090];
+ vX_[1096] = vX_[1089] * vX_[1085];
+ vX_[1097] = vX_[1095] * vX_[1092] - vX_[1096] * vX_[1088];
+ vX_[1098] = vX_[1094] * vX_[1097];
+ vX_[1099] = vX_[1096] * vX_[1092] + vX_[1095] * vX_[1088];
+ vX_[1100] = 2. * vX_[1099];
+ vX_[1101] = vX_[1086] * vX_[1092] - vX_[1091] * vX_[1088];
+ vX_[1102] = vX_[1100] * vX_[1101];
+ vX_[1103] = vX_[1098] + vX_[1102];
+ vX_[1104] = 0.5 * x_in[1];
+ vX_[1105] = sin(vX_[1104]);
+ vX_[1106] = vX_[699] * vX_[1105];
+ vX_[1107] = 0.5 * x_in[2];
+ vX_[1108] = cos(vX_[1107]);
+ vX_[1109] = cos(vX_[1104]);
+ vX_[1110] = vX_[705] * vX_[1109];
+ vX_[1111] = sin(vX_[1107]);
+ vX_[1112] = vX_[1106] * vX_[1108] - vX_[1110] * vX_[1111];
+ vX_[1113] = 2. * vX_[1112];
+ vX_[1114] = vX_[1113] * vX_[1112];
+ vX_[1115] = vX_[1110] * vX_[1108] + vX_[1106] * vX_[1111];
+ vX_[1116] = 2. * vX_[1115];
+ vX_[1117] = vX_[1116] * vX_[1115];
+ vX_[1118] = 1 - vX_[1114] - vX_[1117];
+ vX_[1119] = 0.33 * vX_[249];
+ vX_[1120] = vX_[1119] * vX_[250];
+ vX_[1121] = 0.33 * vX_[249];
+ vX_[1122] = sin(x_in[10]);
+ vX_[1123] = vX_[1121] * vX_[1122];
+ vX_[1124] = vX_[1120] * vX_[253] + vX_[1123] * vX_[251];
+ vX_[1125] = vX_[1119] * vX_[1122];
+ vX_[1126] = 0.33 * vX_[249];
+ vX_[1127] = vX_[1126] * vX_[250];
+ vX_[1128] = 0.35 * vX_[249];
+ vX_[1129] = vX_[1125] * vX_[251] + vX_[1127] * vX_[253] + vX_[1128] * vX_[1122];
+ vX_[1130] = 0.33 * vX_[328];
+ vX_[1131] = vX_[1130] * vX_[250];
+ vX_[1132] = -0.33 * vX_[328];
+ vX_[1133] = vX_[1132] * vX_[1122];
+ vX_[1134] = 0.35 * vX_[328];
+ vX_[1135] = vX_[1131] * vX_[251] + vX_[1133] * vX_[253] + vX_[1134] * vX_[250] + 0.08 * vX_[328];
+ vX_[1136] = 0.33 * vX_[328];
+ vX_[1137] = vX_[1136] * vX_[250];
+ vX_[1138] = -0.33 * vX_[328];
+ vX_[1139] = vX_[1138] * vX_[1122];
+ vX_[1140] = 0.35 * vX_[328];
+ vX_[1141] = -0.207 + vX_[1137] * vX_[251] + vX_[1139] * vX_[253] + vX_[1140] * vX_[250] + 0.08 * vX_[328];
+ vX_[1142] = -0.33 * vX_[250];
+ vX_[1143] = 0.33 * vX_[1122];
+ vX_[1144] = 0.3735 + vX_[1142] * vX_[253] - vX_[1143] * vX_[251] - 0.35 * vX_[1122];
+ vX_[1145] = vX_[1124] * x_in[29] + vX_[1129] * x_in[28] + vX_[1135] * x_in[27] + x_in[23] + x_in[18] * vX_[1141] - x_in[19] * vX_[1144];
+ vX_[1146] = vX_[699] * vX_[1109];
+ vX_[1147] = vX_[705] * vX_[1105];
+ vX_[1148] = vX_[1146] * vX_[1111] + vX_[1147] * vX_[1108];
+ vX_[1149] = 2. * vX_[1148];
+ vX_[1150] = vX_[1149] * vX_[1112];
+ vX_[1151] = vX_[1146] * vX_[1108] - vX_[1147] * vX_[1111];
+ vX_[1152] = vX_[1116] * vX_[1151];
+ vX_[1153] = vX_[1150] + vX_[1152];
+ vX_[1154] = -0.33 * vX_[328];
+ vX_[1155] = vX_[1154] * vX_[250];
+ vX_[1156] = 0.33 * vX_[328];
+ vX_[1157] = vX_[1156] * vX_[1122];
+ vX_[1158] = vX_[1155] * vX_[253] - vX_[1157] * vX_[251];
+ vX_[1159] = vX_[1132] * vX_[250];
+ vX_[1160] = 0.33 * vX_[328];
+ vX_[1161] = vX_[1160] * vX_[1122];
+ vX_[1162] = 0.35 * vX_[328];
+ vX_[1163] = vX_[1159] * vX_[253] - vX_[1161] * vX_[251] - vX_[1162] * vX_[1122];
+ vX_[1164] = 0.33 * vX_[249];
+ vX_[1165] = vX_[1164] * vX_[250];
+ vX_[1166] = -0.33 * vX_[249];
+ vX_[1167] = vX_[1166] * vX_[1122];
+ vX_[1168] = 0.35 * vX_[249];
+ vX_[1169] = vX_[1165] * vX_[251] + vX_[1167] * vX_[253] + vX_[1168] * vX_[250] + 0.08 * vX_[249];
+ vX_[1170] = 0.33 * vX_[249];
+ vX_[1171] = vX_[1170] * vX_[1122];
+ vX_[1172] = 0.33 * vX_[249];
+ vX_[1173] = vX_[1172] * vX_[250];
+ vX_[1174] = 0.35 * vX_[249];
+ vX_[1175] = vX_[1171] * vX_[253] - vX_[1173] * vX_[251] - vX_[1174] * vX_[250] - 0.08 * vX_[249];
+ vX_[1176] = vX_[1158] * x_in[29] + vX_[1163] * x_in[28] + vX_[1169] * x_in[27] + x_in[22] + x_in[20] * vX_[1144] - x_in[18] * vX_[1175];
+ vX_[1177] = vX_[1149] * vX_[1115];
+ vX_[1178] = vX_[1113] * vX_[1151];
+ vX_[1179] = vX_[1177] - vX_[1178];
+ vX_[1180] = 0.33 * vX_[1122];
+ vX_[1181] = 0.33 * vX_[250];
+ vX_[1182] = vX_[1180] * vX_[253] - vX_[1181] * vX_[251];
+ vX_[1183] = 0.33 * vX_[1122];
+ vX_[1184] = 0.33 * vX_[250];
+ vX_[1185] = vX_[1183] * vX_[253] - vX_[1184] * vX_[251] - 0.35 * vX_[250];
+ vX_[1186] = vX_[1182] * x_in[29] + vX_[1185] * x_in[28] + x_in[21] + x_in[19] * vX_[1175] - x_in[20] * vX_[1141];
+ vX_[1187] = -1000. * (vX_[1118] * vX_[1145] + vX_[1153] * vX_[1176] + vX_[1179] * vX_[1186]);
+ vX_[1188] = 0.5 * x_in[0];
+ vX_[1189] = cos(vX_[1188]);
+ vX_[1190] = 0.5 * x_in[1];
+ vX_[1191] = sin(vX_[1190]);
+ vX_[1192] = vX_[1189] * vX_[1191];
+ vX_[1193] = 0.5 * x_in[2];
+ vX_[1194] = cos(vX_[1193]);
+ vX_[1195] = sin(vX_[1188]);
+ vX_[1196] = cos(vX_[1190]);
+ vX_[1197] = vX_[1195] * vX_[1196];
+ vX_[1198] = sin(vX_[1193]);
+ vX_[1199] = vX_[1192] * vX_[1194] - vX_[1197] * vX_[1198];
+ vX_[1200] = 2. * vX_[1199];
+ vX_[1201] = vX_[1197] * vX_[1194] + vX_[1192] * vX_[1198];
+ vX_[1202] = 2. * vX_[1201];
+ vX_[1203] = 1 - vX_[1200] * vX_[1199] - vX_[1202] * vX_[1201];
+ vX_[1204] = 0.33 * vX_[249];
+ vX_[1205] = vX_[1204] * vX_[1122];
+ vX_[1206] = 0.33 * vX_[249];
+ vX_[1207] = vX_[1206] * vX_[250];
+ vX_[1208] = 0.35 * vX_[249];
+ vX_[1209] = vX_[1205] * vX_[253] - vX_[1207] * vX_[251] - vX_[1208] * vX_[250] - 0.08 * vX_[249];
+ vX_[1210] = vX_[1189] * vX_[1196];
+ vX_[1211] = vX_[1195] * vX_[1191];
+ vX_[1212] = 2. * (vX_[1210] * vX_[1198] + vX_[1211] * vX_[1194]);
+ vX_[1213] = vX_[1210] * vX_[1194] - vX_[1211] * vX_[1198];
+ vX_[1214] = vX_[1212] * vX_[1199] + vX_[1202] * vX_[1213];
+ vX_[1215] = 0.33 * vX_[328];
+ vX_[1216] = vX_[1215] * vX_[250];
+ vX_[1217] = -0.33 * vX_[328];
+ vX_[1218] = vX_[1217] * vX_[1122];
+ vX_[1219] = 0.35 * vX_[328];
+ vX_[1220] = -0.207 + vX_[1216] * vX_[251] + vX_[1218] * vX_[253] + vX_[1219] * vX_[250] + 0.08 * vX_[328];
+ vX_[1221] = vX_[1212] * vX_[1201] - vX_[1200] * vX_[1213];
+ vX_[1222] = -0.33 * vX_[250];
+ vX_[1223] = 0.33 * vX_[1122];
+ vX_[1224] = 0.3735 + vX_[1222] * vX_[253] - vX_[1223] * vX_[251] - 0.35 * vX_[1122];
+ vX_[1225] = vX_[1203] * vX_[1209] + vX_[1214] * vX_[1220] + vX_[1221] * vX_[1224] + x_in[5];
+ vX_[1226] = exp(100. * vX_[1225]);
+ vX_[1227] = 1 + vX_[1226];
+ vX_[1228] = 1 / vX_[1227];
+ vX_[1229] = -0.5 * sin(vX_[1188]);
+ vX_[1230] = vX_[1229] * vX_[1191];
+ vX_[1188] = 0.5 * cos(vX_[1188]);
+ vX_[1231] = vX_[1188] * vX_[1196];
+ vX_[1232] = vX_[1230] * vX_[1194] - vX_[1231] * vX_[1198];
+ vX_[1233] = 2. * vX_[1232];
+ vX_[1231] = vX_[1231] * vX_[1194] + vX_[1230] * vX_[1198];
+ vX_[1230] = 2. * vX_[1231];
+ vX_[1229] = vX_[1229] * vX_[1196];
+ vX_[1188] = vX_[1188] * vX_[1191];
+ vX_[1191] = 2. * (vX_[1229] * vX_[1198] + vX_[1188] * vX_[1194]);
+ vX_[1188] = vX_[1229] * vX_[1194] - vX_[1188] * vX_[1198];
+ vX_[1188] = (0 - (vX_[1200] * vX_[1232] + vX_[1233] * vX_[1199]) - (vX_[1202] * vX_[1231] + vX_[1230] * vX_[1201])) * vX_[1209] + (vX_[1212] * vX_[1232] + vX_[1191] * vX_[1199] + vX_[1202] * vX_[1188] + vX_[1230] * vX_[1213]) * vX_[1220] + (vX_[1212] * vX_[1231] + vX_[1191] * vX_[1201] - (vX_[1200] * vX_[1188] + vX_[1233] * vX_[1213])) * vX_[1224];
+ vX_[1191] = ((- vX_[1228]) * 100. * vX_[1188] * vX_[1226]) / vX_[1227];
+ vX_[1230] = vX_[740] * vX_[1105];
+ vX_[1231] = vX_[698] * vX_[1109];
+ vX_[1233] = vX_[1230] * vX_[1108] - vX_[1231] * vX_[1111];
+ vX_[1232] = 2. * vX_[1233];
+ vX_[1229] = vX_[1113] * vX_[1233] + vX_[1232] * vX_[1112];
+ vX_[1231] = vX_[1231] * vX_[1108] + vX_[1230] * vX_[1111];
+ vX_[1230] = 2. * vX_[1231];
+ vX_[1196] = vX_[1116] * vX_[1231] + vX_[1230] * vX_[1115];
+ vX_[1109] = vX_[740] * vX_[1109];
+ vX_[1105] = vX_[698] * vX_[1105];
+ vX_[698] = vX_[1109] * vX_[1111] + vX_[1105] * vX_[1108];
+ vX_[740] = 2. * vX_[698];
+ vX_[1233] = vX_[1149] * vX_[1233] + vX_[740] * vX_[1112];
+ vX_[1105] = vX_[1109] * vX_[1108] - vX_[1105] * vX_[1111];
+ vX_[1230] = vX_[1116] * vX_[1105] + vX_[1230] * vX_[1151];
+ vX_[1109] = vX_[1149] * vX_[1231] + vX_[740] * vX_[1115];
+ vX_[1234] = vX_[1113] * vX_[1105] + vX_[1232] * vX_[1151];
+ vX_[1225] = exp(-100. * (vX_[1225] + 0.02));
+ vX_[1188] = vX_[1187] * vX_[1191] + -1000. * ((0 - vX_[1229] - vX_[1196]) * vX_[1145] + (vX_[1233] + vX_[1230]) * vX_[1176] + (vX_[1109] - vX_[1234]) * vX_[1186]) * vX_[1228] + 5000. * -100. * vX_[1188] * vX_[1225];
+ vX_[1235] = -0.5 * sin(vX_[1082]);
+ vX_[1236] = vX_[1235] * vX_[1090];
+ vX_[1082] = 0.5 * cos(vX_[1082]);
+ vX_[1237] = vX_[1082] * vX_[1085];
+ vX_[1238] = vX_[1236] * vX_[1092] - vX_[1237] * vX_[1088];
+ vX_[1235] = vX_[1235] * vX_[1085];
+ vX_[1082] = vX_[1082] * vX_[1090];
+ vX_[1090] = vX_[1235] * vX_[1088] + vX_[1082] * vX_[1092];
+ vX_[1085] = 2. * vX_[1090];
+ vX_[1239] = vX_[1094] * vX_[1238] + vX_[1085] * vX_[1097];
+ vX_[1082] = vX_[1235] * vX_[1092] - vX_[1082] * vX_[1088];
+ vX_[1237] = vX_[1237] * vX_[1092] + vX_[1236] * vX_[1088];
+ vX_[1236] = 2. * vX_[1237];
+ vX_[1235] = vX_[1100] * vX_[1082] + vX_[1236] * vX_[1101];
+ vX_[1240] = vX_[1187] * vX_[1228] + 5000. * vX_[1225];
+ vX_[1241] = vX_[1094] * vX_[1093];
+ vX_[1242] = vX_[1100] * vX_[1099];
+ vX_[1243] = 1 - vX_[1241] - vX_[1242];
+ vX_[1152] = vX_[1150] - vX_[1152];
+ vX_[1150] = vX_[1149] * vX_[1148];
+ vX_[1117] = 1 - vX_[1150] - vX_[1117];
+ vX_[1244] = vX_[1113] * vX_[1115];
+ vX_[1245] = vX_[1149] * vX_[1151];
+ vX_[1246] = vX_[1244] + vX_[1245];
+ vX_[1247] = -1000. * (vX_[1152] * vX_[1145] + vX_[1117] * vX_[1176] + vX_[1246] * vX_[1186]);
+ vX_[698] = vX_[1149] * vX_[698] + vX_[740] * vX_[1148];
+ vX_[1231] = vX_[1113] * vX_[1231] + vX_[1232] * vX_[1115];
+ vX_[1105] = vX_[1149] * vX_[1105] + vX_[740] * vX_[1151];
+ vX_[1230] = vX_[1247] * vX_[1191] + -1000. * ((vX_[1233] - vX_[1230]) * vX_[1145] + (0 - vX_[698] - vX_[1196]) * vX_[1176] + (vX_[1231] + vX_[1105]) * vX_[1186]) * vX_[1228];
+ vX_[1090] = vX_[1094] * vX_[1090] + vX_[1085] * vX_[1093];
+ vX_[1236] = vX_[1100] * vX_[1237] + vX_[1236] * vX_[1099];
+ vX_[1233] = vX_[1247] * vX_[1228];
+ vX_[1196] = 2. * vX_[1097];
+ vX_[740] = vX_[1196] * vX_[1099];
+ vX_[1232] = vX_[1094] * vX_[1101];
+ vX_[1248] = vX_[740] - vX_[1232];
+ vX_[1178] = vX_[1177] + vX_[1178];
+ vX_[1245] = vX_[1244] - vX_[1245];
+ vX_[1150] = 1 - vX_[1150] - vX_[1114];
+ vX_[1114] = -1000. * (vX_[1178] * vX_[1145] + vX_[1245] * vX_[1176] + vX_[1150] * vX_[1186]);
+ vX_[1105] = vX_[1114] * vX_[1191] + -1000. * ((vX_[1109] + vX_[1234]) * vX_[1145] + (vX_[1231] - vX_[1105]) * vX_[1176] + (0 - vX_[698] - vX_[1229]) * vX_[1186]) * vX_[1228];
+ vX_[1231] = 2. * vX_[1238];
+ vX_[698] = vX_[1196] * vX_[1237] + vX_[1231] * vX_[1099];
+ vX_[1234] = vX_[1094] * vX_[1082] + vX_[1085] * vX_[1101];
+ vX_[1109] = vX_[1114] * vX_[1228];
+ vX_[1229] = vX_[1103] * vX_[1188] + (vX_[1239] + vX_[1235]) * vX_[1240] + vX_[1243] * vX_[1230] + (0 - vX_[1090] - vX_[1236]) * vX_[1233] + vX_[1248] * vX_[1105] + (vX_[698] - vX_[1234]) * vX_[1109];
+ vX_[1191] = 0.33 * vX_[328];
+ vX_[1244] = vX_[1191] * vX_[250];
+ vX_[1177] = -0.33 * vX_[328];
+ vX_[1249] = vX_[1177] * vX_[277];
+ vX_[1250] = 0.35 * vX_[328];
+ vX_[1251] = -0.207 + vX_[1244] * vX_[251] + vX_[1249] * vX_[253] + vX_[1250] * vX_[250] + 0.08 * vX_[328];
+ vX_[1252] = vX_[1094] * vX_[1099];
+ vX_[1253] = vX_[1196] * vX_[1101];
+ vX_[1254] = vX_[1252] - vX_[1253];
+ vX_[1237] = vX_[1094] * vX_[1237] + vX_[1085] * vX_[1099];
+ vX_[1082] = vX_[1196] * vX_[1082] + vX_[1231] * vX_[1101];
+ vX_[1232] = vX_[740] + vX_[1232];
+ vX_[740] = vX_[1196] * vX_[1097];
+ vX_[1241] = 1 - vX_[1241] - vX_[740];
+ vX_[1231] = vX_[1196] * vX_[1238] + vX_[1231] * vX_[1097];
+ vX_[1234] = vX_[1254] * vX_[1188] + (vX_[1237] - vX_[1082]) * vX_[1240] + vX_[1232] * vX_[1230] + (vX_[698] + vX_[1234]) * vX_[1233] + vX_[1241] * vX_[1105] + (0 - vX_[1090] - vX_[1231]) * vX_[1109];
+ vX_[698] = vX_[1081] * vX_[1229] - vX_[1251] * vX_[1234];
+ vX_[1090] = 0.33 * vX_[249];
+ vX_[1238] = vX_[1090] * vX_[277];
+ vX_[1085] = 0.33 * vX_[249];
+ vX_[1255] = vX_[1085] * vX_[250];
+ vX_[1256] = 0.35 * vX_[249];
+ vX_[1257] = vX_[1238] * vX_[253] - vX_[1255] * vX_[251] - vX_[1256] * vX_[250] - 0.08 * vX_[249];
+ vX_[740] = 1 - vX_[740] - vX_[1242];
+ vX_[1102] = vX_[1098] - vX_[1102];
+ vX_[1253] = vX_[1252] + vX_[1253];
+ vX_[1231] = vX_[740] * vX_[1188] + (0 - vX_[1231] - vX_[1236]) * vX_[1240] + vX_[1102] * vX_[1230] + (vX_[1239] - vX_[1235]) * vX_[1233] + vX_[1253] * vX_[1105] + (vX_[1237] + vX_[1082]) * vX_[1109];
+ vX_[1082] = vX_[1257] * vX_[1234] - vX_[1081] * vX_[1231];
+ vX_[1237] = 0.35 * vX_[249];
+ vX_[1105] = 0.3735 * vX_[249] - vX_[1237] * vX_[277];
+ vX_[1236] = 0.35 * vX_[328];
+ vX_[1230] = vX_[1236] * vX_[277] - 0.3735 * vX_[328];
+ vX_[1235] = 0.08 + 0.35 * vX_[250] - 0.207 * vX_[328];
+ vX_[1239] = 0 - vX_[328] * vX_[698] - vX_[249] * vX_[1082] - vX_[1105] * vX_[1231] - vX_[1230] * vX_[1229] - vX_[1235] * vX_[1234];
+ vX_[1188] = 0 - vX_[1239];
+ vX_[1252] = 0.35 * vX_[251];
+ vX_[1098] = vX_[249] * vX_[250];
+ vX_[1242] = vX_[249] * vX_[277];
+ vX_[1258] = vX_[1098] * vX_[253] + vX_[1242] * vX_[251];
+ vX_[1259] = 0 - vX_[328];
+ vX_[1260] = vX_[1259] * vX_[250];
+ vX_[1261] = vX_[328] * vX_[277];
+ vX_[1262] = vX_[1261] * vX_[251];
+ vX_[1263] = vX_[1260] * vX_[253] - vX_[1262];
+ vX_[1264] = vX_[250] * vX_[251];
+ vX_[1265] = vX_[277] * vX_[253] - vX_[1264];
+ vX_[1266] = (0.1104774 * vX_[1188]) / 0.026181 - vX_[1258] * vX_[1231] - vX_[1263] * vX_[1229] - vX_[1265] * vX_[1234];
+ vX_[1267] = vX_[1242] * vX_[253] - vX_[1098] * vX_[251];
+ vX_[1268] = vX_[328] * vX_[250];
+ vX_[1269] = vX_[1268] * vX_[251] - vX_[1261] * vX_[253];
+ vX_[1270] = 0 - vX_[250];
+ vX_[1271] = vX_[1270] * vX_[253] - vX_[277] * vX_[251];
+ vX_[1272] = (-0.0004405 * vX_[1188]) / 0.026181 - vX_[1267] * vX_[1231] - vX_[1269] * vX_[1229] - vX_[1271] * vX_[1234];
+ vX_[1239] = (0.026181 * vX_[1188]) / 0.026181 + vX_[1239] + vX_[1252] * vX_[1266] + vX_[256] * vX_[1272];
+ vX_[1273] = 0 - vX_[1239];
+ vX_[1274] = 0.08 * vX_[250];
+ vX_[1275] = vX_[251] * vX_[1266] + vX_[253] * vX_[1272] + (vX_[272] * vX_[1273]) / vX_[274];
+ vX_[1276] = 0 - vX_[253];
+ vX_[1272] = vX_[1276] * vX_[1266] + vX_[251] * vX_[1272] + (vX_[285] * vX_[1273]) / vX_[274];
+ vX_[1266] = 0 - vX_[328];
+ vX_[1277] = vX_[1266] * vX_[250];
+ vX_[1262] = vX_[1277] * vX_[253] - vX_[1262];
+ vX_[1264] = vX_[277] * vX_[253] - vX_[1264];
+ vX_[1278] = vX_[1251] * vX_[1231] - vX_[1257] * vX_[1229];
+ vX_[1279] = 0.207 - 0.08 * vX_[328];
+ vX_[1280] = 0.3735 * vX_[328];
+ vX_[1281] = vX_[1279] * vX_[277] - vX_[1280] * vX_[250];
+ vX_[1282] = 0.08 * vX_[328] - 0.207;
+ vX_[1283] = -0.3735 * vX_[328];
+ vX_[1284] = vX_[1282] * vX_[250] + vX_[1283] * vX_[277] + 0.35 * vX_[328];
+ vX_[1285] = vX_[1281] * vX_[253] + vX_[1284] * vX_[251];
+ vX_[1286] = -0.08 * vX_[249];
+ vX_[1287] = 0.3735 * vX_[249];
+ vX_[1288] = vX_[1286] * vX_[277] - vX_[1287] * vX_[250];
+ vX_[1289] = 0.08 * vX_[249];
+ vX_[1290] = -0.3735 * vX_[249];
+ vX_[1291] = vX_[1289] * vX_[250] + vX_[1290] * vX_[277] + 0.35 * vX_[249];
+ vX_[1292] = vX_[1288] * vX_[253] + vX_[1291] * vX_[251];
+ vX_[1293] = -0.207 * vX_[249];
+ vX_[1294] = vX_[1293] * vX_[250];
+ vX_[1295] = 0.207 * vX_[249];
+ vX_[1296] = vX_[1295] * vX_[277];
+ vX_[1297] = vX_[1294] * vX_[253] - vX_[1296] * vX_[251];
+ vX_[1298] = 0 - vX_[1258] * vX_[698] - vX_[1262] * vX_[1082] - vX_[1264] * vX_[1278] - vX_[1285] * vX_[1231] - vX_[1292] * vX_[1229] - vX_[1297] * vX_[1234];
+ vX_[1299] = 0.08 * vX_[328] - 0.207;
+ vX_[1300] = -0.3735 * vX_[328];
+ vX_[1301] = vX_[1299] * vX_[250] + vX_[1300] * vX_[277] + 0.35 * vX_[328];
+ vX_[1302] = 0.08 * vX_[328] - 0.207;
+ vX_[1303] = 0.3735 * vX_[328];
+ vX_[1304] = vX_[1302] * vX_[277] + vX_[1303] * vX_[250];
+ vX_[1305] = vX_[1301] * vX_[253] + vX_[1304] * vX_[251];
+ vX_[1306] = 0.08 * vX_[249];
+ vX_[1307] = -0.3735 * vX_[249];
+ vX_[1308] = vX_[1306] * vX_[250] + vX_[1307] * vX_[277] + 0.35 * vX_[249];
+ vX_[1309] = 0.08 * vX_[249];
+ vX_[1310] = 0.3735 * vX_[249];
+ vX_[1311] = vX_[1309] * vX_[277] + vX_[1310] * vX_[250];
+ vX_[1312] = vX_[1308] * vX_[253] + vX_[1311] * vX_[251];
+ vX_[1313] = 0.207 * vX_[249];
+ vX_[1314] = vX_[1313] * vX_[250];
+ vX_[1315] = 0.207 * vX_[249];
+ vX_[1316] = vX_[1315] * vX_[277];
+ vX_[1317] = vX_[1314] * vX_[251] - vX_[1316] * vX_[253];
+ vX_[1278] = 0 - vX_[1267] * vX_[698] - vX_[1269] * vX_[1082] - vX_[1271] * vX_[1278] - vX_[1305] * vX_[1231] - vX_[1312] * vX_[1229] - vX_[1317] * vX_[1234];
+ vX_[1231] = 0 - vX_[328] * vX_[1231] - vX_[249] * vX_[1229];
+ vX_[1229] = vX_[251] * vX_[1298] + vX_[253] * vX_[1278] + -0.35 * vX_[1231] + (vX_[281] * vX_[1273]) / vX_[274];
+ vX_[1278] = vX_[254] * vX_[1298] + vX_[251] * vX_[1278] + (vX_[262] * vX_[1273]) / vX_[274];
+ vX_[1298] = vX_[297] * vX_[1229] + vX_[278] * vX_[1278] + 0.08 * vX_[1231];
+ vX_[1082] = 0 - vX_[1298];
+ vX_[1239] = (vX_[274] * vX_[1273]) / vX_[274] + vX_[1239] + vX_[1274] * vX_[1275] + vX_[299] * vX_[1272] + (vX_[360] * vX_[1082]) / vX_[324];
+ vX_[1278] = vX_[278] * vX_[1229] + vX_[250] * vX_[1278] + (vX_[319] * vX_[1082]) / vX_[324];
+ vX_[1229] = 0 - vX_[250];
+ vX_[698] = 0 - vX_[277];
+ vX_[1234] = vX_[1229] * vX_[1275] + vX_[698] * vX_[1272] + (vX_[345] * vX_[1082]) / vX_[324];
+ vX_[1231] = vX_[1231] + (vX_[337] * vX_[1082]) / vX_[324];
+ vX_[1318] = 0.3735 * vX_[328];
+ vX_[1319] = 0 - vX_[277];
+ vX_[1272] = vX_[1319] * vX_[1275] + vX_[250] * vX_[1272] + (vX_[322] * vX_[1082]) / vX_[324];
+ vX_[1275] = -0.08 * vX_[371];
+ vX_[1320] = sin(x_in[6]);
+ vX_[1321] = 0 - vX_[1320];
+ vX_[1322] = -0.33 * vX_[371];
+ vX_[1323] = sin(x_in[7]);
+ vX_[1324] = 0.33 * vX_[1323];
+ vX_[1325] = 0.3735 + vX_[1322] * vX_[374] - vX_[1324] * vX_[372] - 0.35 * vX_[1323];
+ vX_[1326] = 0.5 * x_in[0];
+ vX_[1327] = cos(vX_[1326]);
+ vX_[1328] = 0.5 * x_in[1];
+ vX_[1329] = cos(vX_[1328]);
+ vX_[1330] = vX_[1327] * vX_[1329];
+ vX_[1331] = 0.5 * x_in[2];
+ vX_[1332] = sin(vX_[1331]);
+ vX_[1333] = sin(vX_[1326]);
+ vX_[1334] = sin(vX_[1328]);
+ vX_[1335] = vX_[1333] * vX_[1334];
+ vX_[1336] = cos(vX_[1331]);
+ vX_[1337] = vX_[1330] * vX_[1332] + vX_[1335] * vX_[1336];
+ vX_[1338] = 2. * vX_[1337];
+ vX_[1339] = vX_[1327] * vX_[1334];
+ vX_[1340] = vX_[1333] * vX_[1329];
+ vX_[1341] = vX_[1339] * vX_[1336] - vX_[1340] * vX_[1332];
+ vX_[1342] = vX_[1338] * vX_[1341];
+ vX_[1343] = vX_[1340] * vX_[1336] + vX_[1339] * vX_[1332];
+ vX_[1344] = 2. * vX_[1343];
+ vX_[1345] = vX_[1330] * vX_[1336] - vX_[1335] * vX_[1332];
+ vX_[1346] = vX_[1344] * vX_[1345];
+ vX_[1347] = vX_[1342] + vX_[1346];
+ vX_[1348] = 0.5 * x_in[0];
+ vX_[1349] = cos(vX_[1348]);
+ vX_[1350] = 0.5 * x_in[1];
+ vX_[1351] = sin(vX_[1350]);
+ vX_[1352] = vX_[1349] * vX_[1351];
+ vX_[1353] = 0.5 * x_in[2];
+ vX_[1354] = cos(vX_[1353]);
+ vX_[1355] = sin(vX_[1348]);
+ vX_[1356] = cos(vX_[1350]);
+ vX_[1357] = vX_[1355] * vX_[1356];
+ vX_[1358] = sin(vX_[1353]);
+ vX_[1359] = vX_[1352] * vX_[1354] - vX_[1357] * vX_[1358];
+ vX_[1360] = 2. * vX_[1359];
+ vX_[1361] = vX_[1360] * vX_[1359];
+ vX_[1362] = vX_[1357] * vX_[1354] + vX_[1352] * vX_[1358];
+ vX_[1363] = 2. * vX_[1362];
+ vX_[1364] = vX_[1363] * vX_[1362];
+ vX_[1365] = 1 - vX_[1361] - vX_[1364];
+ vX_[1366] = 0.33 * vX_[369];
+ vX_[1367] = vX_[1366] * vX_[371];
+ vX_[1368] = 0.33 * vX_[369];
+ vX_[1369] = vX_[1368] * vX_[1323];
+ vX_[1370] = vX_[1367] * vX_[374] + vX_[1369] * vX_[372];
+ vX_[1371] = vX_[1366] * vX_[1323];
+ vX_[1372] = 0.33 * vX_[369];
+ vX_[1373] = vX_[1372] * vX_[371];
+ vX_[1374] = 0.35 * vX_[369];
+ vX_[1375] = vX_[1371] * vX_[372] + vX_[1373] * vX_[374] + vX_[1374] * vX_[1323];
+ vX_[1376] = 0.33 * vX_[1320];
+ vX_[1377] = vX_[1376] * vX_[371];
+ vX_[1378] = -0.33 * vX_[1320];
+ vX_[1379] = vX_[1378] * vX_[1323];
+ vX_[1380] = 0.35 * vX_[1320];
+ vX_[1381] = vX_[1377] * vX_[372] + vX_[1379] * vX_[374] + vX_[1380] * vX_[371] + 0.08 * vX_[1320];
+ vX_[1382] = 0.33 * vX_[1320];
+ vX_[1383] = vX_[1382] * vX_[1323];
+ vX_[1384] = 0.33 * vX_[1320];
+ vX_[1385] = vX_[1384] * vX_[371];
+ vX_[1386] = 0.35 * vX_[1320];
+ vX_[1387] = 0.207 + vX_[1383] * vX_[374] - vX_[1385] * vX_[372] - vX_[1386] * vX_[371] - 0.08 * vX_[1320];
+ vX_[1388] = -0.33 * vX_[371];
+ vX_[1389] = 0.33 * vX_[1323];
+ vX_[1390] = 0.3735 + vX_[1388] * vX_[374] - vX_[1389] * vX_[372] - 0.35 * vX_[1323];
+ vX_[1391] = vX_[1370] * x_in[26] + vX_[1375] * x_in[25] + vX_[1381] * x_in[24] + x_in[23] + x_in[18] * vX_[1387] - x_in[19] * vX_[1390];
+ vX_[1392] = vX_[1349] * vX_[1356];
+ vX_[1393] = vX_[1355] * vX_[1351];
+ vX_[1394] = vX_[1392] * vX_[1358] + vX_[1393] * vX_[1354];
+ vX_[1395] = 2. * vX_[1394];
+ vX_[1396] = vX_[1395] * vX_[1359];
+ vX_[1397] = vX_[1392] * vX_[1354] - vX_[1393] * vX_[1358];
+ vX_[1398] = vX_[1363] * vX_[1397];
+ vX_[1399] = vX_[1396] + vX_[1398];
+ vX_[1400] = 0.33 * vX_[1320];
+ vX_[1401] = vX_[1400] * vX_[371];
+ vX_[1402] = 0.33 * vX_[1320];
+ vX_[1403] = vX_[1402] * vX_[1323];
+ vX_[1404] = vX_[1401] * vX_[374] + vX_[1403] * vX_[372];
+ vX_[1405] = vX_[1400] * vX_[1323];
+ vX_[1406] = 0.33 * vX_[1320];
+ vX_[1407] = vX_[1406] * vX_[371];
+ vX_[1408] = 0.35 * vX_[1320];
+ vX_[1409] = vX_[1405] * vX_[372] + vX_[1407] * vX_[374] + vX_[1408] * vX_[1323];
+ vX_[1410] = 0.33 * vX_[369];
+ vX_[1411] = vX_[1410] * vX_[1323];
+ vX_[1412] = 0.33 * vX_[369];
+ vX_[1413] = vX_[1412] * vX_[371];
+ vX_[1414] = 0.35 * vX_[369];
+ vX_[1415] = vX_[1411] * vX_[374] - vX_[1413] * vX_[372] - vX_[1414] * vX_[371] - 0.08 * vX_[369];
+ vX_[1416] = 0.33 * vX_[369];
+ vX_[1417] = vX_[1416] * vX_[1323];
+ vX_[1418] = 0.33 * vX_[369];
+ vX_[1419] = vX_[1418] * vX_[371];
+ vX_[1420] = 0.35 * vX_[369];
+ vX_[1421] = vX_[1417] * vX_[374] - vX_[1419] * vX_[372] - vX_[1420] * vX_[371] - 0.08 * vX_[369];
+ vX_[1422] = vX_[1404] * x_in[26] + vX_[1409] * x_in[25] + vX_[1415] * x_in[24] + x_in[22] + x_in[20] * vX_[1390] - x_in[18] * vX_[1421];
+ vX_[1423] = vX_[1395] * vX_[1362];
+ vX_[1424] = vX_[1360] * vX_[1397];
+ vX_[1425] = vX_[1423] - vX_[1424];
+ vX_[1426] = 0.33 * vX_[1323];
+ vX_[1427] = 0.33 * vX_[371];
+ vX_[1428] = vX_[1426] * vX_[374] - vX_[1427] * vX_[372];
+ vX_[1429] = 0.33 * vX_[1323];
+ vX_[1430] = 0.33 * vX_[371];
+ vX_[1431] = vX_[1429] * vX_[374] - vX_[1430] * vX_[372] - 0.35 * vX_[371];
+ vX_[1432] = vX_[1428] * x_in[26] + vX_[1431] * x_in[25] + x_in[21] + x_in[19] * vX_[1421] - x_in[20] * vX_[1387];
+ vX_[1433] = -1000. * (vX_[1365] * vX_[1391] + vX_[1399] * vX_[1422] + vX_[1425] * vX_[1432]);
+ vX_[1434] = 0.5 * x_in[0];
+ vX_[1435] = cos(vX_[1434]);
+ vX_[1436] = 0.5 * x_in[1];
+ vX_[1437] = sin(vX_[1436]);
+ vX_[1438] = vX_[1435] * vX_[1437];
+ vX_[1439] = 0.5 * x_in[2];
+ vX_[1440] = cos(vX_[1439]);
+ vX_[1441] = sin(vX_[1434]);
+ vX_[1442] = cos(vX_[1436]);
+ vX_[1443] = vX_[1441] * vX_[1442];
+ vX_[1444] = sin(vX_[1439]);
+ vX_[1445] = vX_[1438] * vX_[1440] - vX_[1443] * vX_[1444];
+ vX_[1446] = 2. * vX_[1445];
+ vX_[1447] = vX_[1443] * vX_[1440] + vX_[1438] * vX_[1444];
+ vX_[1448] = 2. * vX_[1447];
+ vX_[1449] = 1 - vX_[1446] * vX_[1445] - vX_[1448] * vX_[1447];
+ vX_[1450] = 0.33 * vX_[369];
+ vX_[1451] = vX_[1450] * vX_[1323];
+ vX_[1452] = 0.33 * vX_[369];
+ vX_[1453] = vX_[1452] * vX_[371];
+ vX_[1454] = 0.35 * vX_[369];
+ vX_[1455] = vX_[1451] * vX_[374] - vX_[1453] * vX_[372] - vX_[1454] * vX_[371] - 0.08 * vX_[369];
+ vX_[1456] = vX_[1435] * vX_[1442];
+ vX_[1457] = vX_[1441] * vX_[1437];
+ vX_[1458] = 2. * (vX_[1456] * vX_[1444] + vX_[1457] * vX_[1440]);
+ vX_[1459] = vX_[1456] * vX_[1440] - vX_[1457] * vX_[1444];
+ vX_[1460] = vX_[1458] * vX_[1445] + vX_[1448] * vX_[1459];
+ vX_[1461] = 0.33 * vX_[1320];
+ vX_[1462] = vX_[1461] * vX_[1323];
+ vX_[1463] = 0.33 * vX_[1320];
+ vX_[1464] = vX_[1463] * vX_[371];
+ vX_[1465] = 0.35 * vX_[1320];
+ vX_[1466] = 0.207 + vX_[1462] * vX_[374] - vX_[1464] * vX_[372] - vX_[1465] * vX_[371] - 0.08 * vX_[1320];
+ vX_[1467] = vX_[1458] * vX_[1447] - vX_[1446] * vX_[1459];
+ vX_[1468] = -0.33 * vX_[371];
+ vX_[1469] = 0.33 * vX_[1323];
+ vX_[1470] = 0.3735 + vX_[1468] * vX_[374] - vX_[1469] * vX_[372] - 0.35 * vX_[1323];
+ vX_[1471] = vX_[1449] * vX_[1455] + vX_[1460] * vX_[1466] + vX_[1467] * vX_[1470] + x_in[5];
+ vX_[1472] = exp(100. * vX_[1471]);
+ vX_[1473] = 1 + vX_[1472];
+ vX_[1474] = 1 / vX_[1473];
+ vX_[1475] = -0.5 * sin(vX_[1434]);
+ vX_[1476] = vX_[1475] * vX_[1437];
+ vX_[1434] = 0.5 * cos(vX_[1434]);
+ vX_[1477] = vX_[1434] * vX_[1442];
+ vX_[1478] = vX_[1476] * vX_[1440] - vX_[1477] * vX_[1444];
+ vX_[1479] = 2. * vX_[1478];
+ vX_[1477] = vX_[1477] * vX_[1440] + vX_[1476] * vX_[1444];
+ vX_[1476] = 2. * vX_[1477];
+ vX_[1475] = vX_[1475] * vX_[1442];
+ vX_[1434] = vX_[1434] * vX_[1437];
+ vX_[1437] = 2. * (vX_[1475] * vX_[1444] + vX_[1434] * vX_[1440]);
+ vX_[1434] = vX_[1475] * vX_[1440] - vX_[1434] * vX_[1444];
+ vX_[1434] = (0 - (vX_[1446] * vX_[1478] + vX_[1479] * vX_[1445]) - (vX_[1448] * vX_[1477] + vX_[1476] * vX_[1447])) * vX_[1455] + (vX_[1458] * vX_[1478] + vX_[1437] * vX_[1445] + vX_[1448] * vX_[1434] + vX_[1476] * vX_[1459]) * vX_[1466] + (vX_[1458] * vX_[1477] + vX_[1437] * vX_[1447] - (vX_[1446] * vX_[1434] + vX_[1479] * vX_[1459])) * vX_[1470];
+ vX_[1437] = ((- vX_[1474]) * 100. * vX_[1434] * vX_[1472]) / vX_[1473];
+ vX_[1476] = -0.5 * sin(vX_[1348]);
+ vX_[1477] = vX_[1476] * vX_[1351];
+ vX_[1348] = 0.5 * cos(vX_[1348]);
+ vX_[1479] = vX_[1348] * vX_[1356];
+ vX_[1478] = vX_[1477] * vX_[1354] - vX_[1479] * vX_[1358];
+ vX_[1475] = 2. * vX_[1478];
+ vX_[1442] = vX_[1360] * vX_[1478] + vX_[1475] * vX_[1359];
+ vX_[1479] = vX_[1479] * vX_[1354] + vX_[1477] * vX_[1358];
+ vX_[1477] = 2. * vX_[1479];
+ vX_[1480] = vX_[1363] * vX_[1479] + vX_[1477] * vX_[1362];
+ vX_[1476] = vX_[1476] * vX_[1356];
+ vX_[1348] = vX_[1348] * vX_[1351];
+ vX_[1351] = vX_[1476] * vX_[1358] + vX_[1348] * vX_[1354];
+ vX_[1356] = 2. * vX_[1351];
+ vX_[1478] = vX_[1395] * vX_[1478] + vX_[1356] * vX_[1359];
+ vX_[1348] = vX_[1476] * vX_[1354] - vX_[1348] * vX_[1358];
+ vX_[1477] = vX_[1363] * vX_[1348] + vX_[1477] * vX_[1397];
+ vX_[1476] = vX_[1395] * vX_[1479] + vX_[1356] * vX_[1362];
+ vX_[1481] = vX_[1360] * vX_[1348] + vX_[1475] * vX_[1397];
+ vX_[1471] = exp(-100. * (vX_[1471] + 0.02));
+ vX_[1434] = vX_[1433] * vX_[1437] + -1000. * ((0 - vX_[1442] - vX_[1480]) * vX_[1391] + (vX_[1478] + vX_[1477]) * vX_[1422] + (vX_[1476] - vX_[1481]) * vX_[1432]) * vX_[1474] + 5000. * -100. * vX_[1434] * vX_[1471];
+ vX_[1482] = -0.5 * sin(vX_[1326]);
+ vX_[1483] = vX_[1482] * vX_[1334];
+ vX_[1326] = 0.5 * cos(vX_[1326]);
+ vX_[1484] = vX_[1326] * vX_[1329];
+ vX_[1485] = vX_[1483] * vX_[1336] - vX_[1484] * vX_[1332];
+ vX_[1482] = vX_[1482] * vX_[1329];
+ vX_[1326] = vX_[1326] * vX_[1334];
+ vX_[1334] = vX_[1482] * vX_[1332] + vX_[1326] * vX_[1336];
+ vX_[1329] = 2. * vX_[1334];
+ vX_[1486] = vX_[1338] * vX_[1485] + vX_[1329] * vX_[1341];
+ vX_[1326] = vX_[1482] * vX_[1336] - vX_[1326] * vX_[1332];
+ vX_[1484] = vX_[1484] * vX_[1336] + vX_[1483] * vX_[1332];
+ vX_[1483] = 2. * vX_[1484];
+ vX_[1482] = vX_[1344] * vX_[1326] + vX_[1483] * vX_[1345];
+ vX_[1487] = vX_[1433] * vX_[1474] + 5000. * vX_[1471];
+ vX_[1488] = vX_[1338] * vX_[1337];
+ vX_[1489] = vX_[1344] * vX_[1343];
+ vX_[1490] = 1 - vX_[1488] - vX_[1489];
+ vX_[1398] = vX_[1396] - vX_[1398];
+ vX_[1396] = vX_[1395] * vX_[1394];
+ vX_[1364] = 1 - vX_[1396] - vX_[1364];
+ vX_[1491] = vX_[1360] * vX_[1362];
+ vX_[1492] = vX_[1395] * vX_[1397];
+ vX_[1493] = vX_[1491] + vX_[1492];
+ vX_[1494] = -1000. * (vX_[1398] * vX_[1391] + vX_[1364] * vX_[1422] + vX_[1493] * vX_[1432]);
+ vX_[1351] = vX_[1395] * vX_[1351] + vX_[1356] * vX_[1394];
+ vX_[1479] = vX_[1360] * vX_[1479] + vX_[1475] * vX_[1362];
+ vX_[1348] = vX_[1395] * vX_[1348] + vX_[1356] * vX_[1397];
+ vX_[1477] = vX_[1494] * vX_[1437] + -1000. * ((vX_[1478] - vX_[1477]) * vX_[1391] + (0 - vX_[1351] - vX_[1480]) * vX_[1422] + (vX_[1479] + vX_[1348]) * vX_[1432]) * vX_[1474];
+ vX_[1334] = vX_[1338] * vX_[1334] + vX_[1329] * vX_[1337];
+ vX_[1483] = vX_[1344] * vX_[1484] + vX_[1483] * vX_[1343];
+ vX_[1478] = vX_[1494] * vX_[1474];
+ vX_[1480] = 2. * vX_[1341];
+ vX_[1356] = vX_[1480] * vX_[1343];
+ vX_[1475] = vX_[1338] * vX_[1345];
+ vX_[1495] = vX_[1356] - vX_[1475];
+ vX_[1424] = vX_[1423] + vX_[1424];
+ vX_[1492] = vX_[1491] - vX_[1492];
+ vX_[1396] = 1 - vX_[1396] - vX_[1361];
+ vX_[1361] = -1000. * (vX_[1424] * vX_[1391] + vX_[1492] * vX_[1422] + vX_[1396] * vX_[1432]);
+ vX_[1348] = vX_[1361] * vX_[1437] + -1000. * ((vX_[1476] + vX_[1481]) * vX_[1391] + (vX_[1479] - vX_[1348]) * vX_[1422] + (0 - vX_[1351] - vX_[1442]) * vX_[1432]) * vX_[1474];
+ vX_[1479] = 2. * vX_[1485];
+ vX_[1351] = vX_[1480] * vX_[1484] + vX_[1479] * vX_[1343];
+ vX_[1481] = vX_[1338] * vX_[1326] + vX_[1329] * vX_[1345];
+ vX_[1476] = vX_[1361] * vX_[1474];
+ vX_[1442] = vX_[1347] * vX_[1434] + (vX_[1486] + vX_[1482]) * vX_[1487] + vX_[1490] * vX_[1477] + (0 - vX_[1334] - vX_[1483]) * vX_[1478] + vX_[1495] * vX_[1348] + (vX_[1351] - vX_[1481]) * vX_[1476];
+ vX_[1437] = 0.33 * vX_[1320];
+ vX_[1491] = vX_[1437] * vX_[1323];
+ vX_[1423] = 0.33 * vX_[1320];
+ vX_[1496] = vX_[1423] * vX_[371];
+ vX_[1497] = 0.35 * vX_[1320];
+ vX_[1498] = 0.207 + vX_[1491] * vX_[374] - vX_[1496] * vX_[372] - vX_[1497] * vX_[371] - 0.08 * vX_[1320];
+ vX_[1499] = vX_[1338] * vX_[1343];
+ vX_[1500] = vX_[1480] * vX_[1345];
+ vX_[1501] = vX_[1499] - vX_[1500];
+ vX_[1484] = vX_[1338] * vX_[1484] + vX_[1329] * vX_[1343];
+ vX_[1326] = vX_[1480] * vX_[1326] + vX_[1479] * vX_[1345];
+ vX_[1475] = vX_[1356] + vX_[1475];
+ vX_[1356] = vX_[1480] * vX_[1341];
+ vX_[1488] = 1 - vX_[1488] - vX_[1356];
+ vX_[1479] = vX_[1480] * vX_[1485] + vX_[1479] * vX_[1341];
+ vX_[1481] = vX_[1501] * vX_[1434] + (vX_[1484] - vX_[1326]) * vX_[1487] + vX_[1475] * vX_[1477] + (vX_[1351] + vX_[1481]) * vX_[1478] + vX_[1488] * vX_[1348] + (0 - vX_[1334] - vX_[1479]) * vX_[1476];
+ vX_[1351] = vX_[1325] * vX_[1442] - vX_[1498] * vX_[1481];
+ vX_[1334] = 0.33 * vX_[369];
+ vX_[1485] = vX_[1334] * vX_[1323];
+ vX_[1329] = 0.33 * vX_[369];
+ vX_[1502] = vX_[1329] * vX_[371];
+ vX_[1503] = 0.35 * vX_[369];
+ vX_[1504] = vX_[1485] * vX_[374] - vX_[1502] * vX_[372] - vX_[1503] * vX_[371] - 0.08 * vX_[369];
+ vX_[1356] = 1 - vX_[1356] - vX_[1489];
+ vX_[1346] = vX_[1342] - vX_[1346];
+ vX_[1500] = vX_[1499] + vX_[1500];
+ vX_[1479] = vX_[1356] * vX_[1434] + (0 - vX_[1479] - vX_[1483]) * vX_[1487] + vX_[1346] * vX_[1477] + (vX_[1486] - vX_[1482]) * vX_[1478] + vX_[1500] * vX_[1348] + (vX_[1484] + vX_[1326]) * vX_[1476];
+ vX_[1326] = vX_[1504] * vX_[1481] - vX_[1325] * vX_[1479];
+ vX_[1484] = 0.35 * vX_[369];
+ vX_[1348] = 0.3735 * vX_[369] - vX_[1484] * vX_[398];
+ vX_[1483] = 0.35 * vX_[1320];
+ vX_[1477] = 0.3735 * vX_[1320] - vX_[1483] * vX_[398];
+ vX_[1482] = 0.08 + 0.35 * vX_[371] - 0.207 * vX_[1320];
+ vX_[1486] = 0 - vX_[1321] * vX_[1351] - vX_[369] * vX_[1326] - vX_[1348] * vX_[1479] - vX_[1477] * vX_[1442] - vX_[1482] * vX_[1481];
+ vX_[1434] = 0 - vX_[1486];
+ vX_[1499] = vX_[369] * vX_[371];
+ vX_[1342] = vX_[369] * vX_[398];
+ vX_[1489] = vX_[1499] * vX_[374] + vX_[1342] * vX_[372];
+ vX_[1505] = vX_[1320] * vX_[371];
+ vX_[1506] = vX_[1320] * vX_[398];
+ vX_[1507] = vX_[1505] * vX_[374] + vX_[1506] * vX_[372];
+ vX_[1508] = vX_[398] * vX_[374] - vX_[371] * vX_[372];
+ vX_[1509] = (0.1104774 * vX_[1434]) / 0.026181 - vX_[1489] * vX_[1479] - vX_[1507] * vX_[1442] - vX_[1508] * vX_[1481];
+ vX_[1510] = vX_[1499] * vX_[372];
+ vX_[1511] = vX_[1342] * vX_[374] - vX_[1510];
+ vX_[1512] = vX_[1506] * vX_[374] - vX_[1505] * vX_[372];
+ vX_[1513] = 0 - vX_[371];
+ vX_[1514] = vX_[398] * vX_[372];
+ vX_[1515] = vX_[1513] * vX_[374] - vX_[1514];
+ vX_[1516] = (-0.0004405 * vX_[1434]) / 0.026181 - vX_[1511] * vX_[1479] - vX_[1512] * vX_[1442] - vX_[1515] * vX_[1481];
+ vX_[1517] = 0.35 * vX_[372];
+ vX_[1486] = (0.026181 * vX_[1434]) / 0.026181 + vX_[1486] + vX_[1517] * vX_[1509] + vX_[377] * vX_[1516];
+ vX_[1518] = 0 - vX_[1486];
+ vX_[1519] = vX_[372] * vX_[1509] + vX_[374] * vX_[1516] + (vX_[393] * vX_[1518]) / vX_[395];
+ vX_[1520] = 0 - vX_[374];
+ vX_[1516] = vX_[1520] * vX_[1509] + vX_[372] * vX_[1516] + (vX_[406] * vX_[1518]) / vX_[395];
+ vX_[1509] = vX_[369] * vX_[398];
+ vX_[1521] = vX_[1499] * vX_[374] + vX_[1509] * vX_[372];
+ vX_[1522] = vX_[1498] * vX_[1479] - vX_[1504] * vX_[1442];
+ vX_[1523] = 0.08 * vX_[1320] - 0.207;
+ vX_[1524] = 0.3735 * vX_[1320];
+ vX_[1525] = vX_[1523] * vX_[398] + vX_[1524] * vX_[371];
+ vX_[1526] = 0.207 - 0.08 * vX_[1320];
+ vX_[1527] = 0.3735 * vX_[1320];
+ vX_[1528] = vX_[1526] * vX_[371] + vX_[1527] * vX_[398] - 0.35 * vX_[1320];
+ vX_[1529] = vX_[1525] * vX_[374] + vX_[1528] * vX_[372];
+ vX_[1530] = -0.08 * vX_[369];
+ vX_[1531] = 0.3735 * vX_[369];
+ vX_[1532] = vX_[1530] * vX_[398] - vX_[1531] * vX_[371];
+ vX_[1533] = 0.08 * vX_[369];
+ vX_[1534] = -0.3735 * vX_[369];
+ vX_[1535] = vX_[1533] * vX_[371] + vX_[1534] * vX_[398] + 0.35 * vX_[369];
+ vX_[1536] = vX_[1532] * vX_[374] + vX_[1535] * vX_[372];
+ vX_[1537] = 0.207 * vX_[369];
+ vX_[1538] = vX_[1537] * vX_[371];
+ vX_[1539] = 0.207 * vX_[369];
+ vX_[1540] = vX_[1539] * vX_[398];
+ vX_[1541] = vX_[1538] * vX_[374] + vX_[1540] * vX_[372];
+ vX_[1542] = 0 - vX_[1521] * vX_[1351] - vX_[1507] * vX_[1326] - vX_[1508] * vX_[1522] - vX_[1529] * vX_[1479] - vX_[1536] * vX_[1442] - vX_[1541] * vX_[1481];
+ vX_[1510] = vX_[1509] * vX_[374] - vX_[1510];
+ vX_[1543] = 0 - vX_[371];
+ vX_[1514] = vX_[1543] * vX_[374] - vX_[1514];
+ vX_[1544] = 0.207 - 0.08 * vX_[1320];
+ vX_[1545] = 0.3735 * vX_[1320];
+ vX_[1546] = vX_[1544] * vX_[371] + vX_[1545] * vX_[398] - 0.35 * vX_[1320];
+ vX_[1547] = 0.207 - 0.08 * vX_[1320];
+ vX_[1548] = 0.3735 * vX_[1320];
+ vX_[1549] = vX_[1547] * vX_[398] - vX_[1548] * vX_[371];
+ vX_[1550] = vX_[1546] * vX_[374] + vX_[1549] * vX_[372];
+ vX_[1551] = 0.08 * vX_[369];
+ vX_[1552] = -0.3735 * vX_[369];
+ vX_[1553] = vX_[1551] * vX_[371] + vX_[1552] * vX_[398] + 0.35 * vX_[369];
+ vX_[1554] = 0.08 * vX_[369];
+ vX_[1555] = 0.3735 * vX_[369];
+ vX_[1556] = vX_[1554] * vX_[398] + vX_[1555] * vX_[371];
+ vX_[1557] = vX_[1553] * vX_[374] + vX_[1556] * vX_[372];
+ vX_[1558] = vX_[1537] * vX_[398];
+ vX_[1559] = 0.207 * vX_[369];
+ vX_[1560] = vX_[1559] * vX_[371];
+ vX_[1561] = vX_[1558] * vX_[374] - vX_[1560] * vX_[372];
+ vX_[1522] = 0 - vX_[1510] * vX_[1351] - vX_[1512] * vX_[1326] - vX_[1514] * vX_[1522] - vX_[1550] * vX_[1479] - vX_[1557] * vX_[1442] - vX_[1561] * vX_[1481];
+ vX_[1326] = 0 - vX_[1320];
+ vX_[1479] = 0 - vX_[1326] * vX_[1479] - vX_[369] * vX_[1442];
+ vX_[1442] = vX_[372] * vX_[1542] + vX_[374] * vX_[1522] + -0.35 * vX_[1479] + (vX_[402] * vX_[1518]) / vX_[395];
+ vX_[1522] = vX_[375] * vX_[1542] + vX_[372] * vX_[1522] + (vX_[383] * vX_[1518]) / vX_[395];
+ vX_[1542] = vX_[371] * vX_[1442] + vX_[398] * vX_[1522] + -0.08 * vX_[1479];
+ vX_[1351] = 0 - vX_[1542];
+ vX_[1486] = vX_[1275] * vX_[1519] + vX_[419] * vX_[1516] + -1 * (vX_[1486] + (vX_[395] * vX_[1518]) / vX_[395]) + (vX_[482] * vX_[1351]) / vX_[445];
+ vX_[1522] = vX_[399] * vX_[1442] + vX_[371] * vX_[1522] + (vX_[440] * vX_[1351]) / vX_[445];
+ vX_[1442] = vX_[371] * vX_[1519] + vX_[398] * vX_[1516] + (vX_[467] * vX_[1351]) / vX_[445];
+ vX_[1479] = -1 * vX_[1479] + (vX_[459] * vX_[1351]) / vX_[445];
+ vX_[1481] = -0.3735 * vX_[450];
+ vX_[1562] = 0 - vX_[398];
+ vX_[1516] = vX_[1562] * vX_[1519] + vX_[371] * vX_[1516] + (vX_[443] * vX_[1351]) / vX_[445];
+ vX_[1519] = vX_[551] * vX_[96] + vX_[554] * vX_[26];
+ vX_[1563] = vX_[563] * vX_[209] + vX_[559] * vX_[138];
+ vX_[1564] = vX_[569] * vX_[328] + vX_[572] * vX_[249];
+ vX_[1565] = vX_[581] * vX_[451] + vX_[577] * vX_[370];
+ vX_[490] = 0.190812 + vX_[136] + vX_[248] + vX_[368] + vX_[490];
+ vX_[368] = vX_[98] * vX_[135] + vX_[96] * vX_[124];
+ vX_[248] = vX_[138] * vX_[247] + vX_[208] * vX_[236];
+ vX_[136] = vX_[330] * vX_[367] + vX_[328] * vX_[356];
+ vX_[1566] = vX_[370] * vX_[489] + vX_[450] * vX_[478];
+ vX_[1567] = (-0.00571 + vX_[368] + vX_[248] + vX_[136] + vX_[1566]) / vX_[583];
+ vX_[1568] = 0.012668 + vX_[1519] + vX_[1563] + vX_[1564] + vX_[1565] - vX_[490] * vX_[1567];
+ vX_[1569] = -0.3735 * vX_[26];
+ vX_[1570] = -0.3735 * vX_[137];
+ vX_[1571] = 0.3735 * vX_[249];
+ vX_[1572] = 0.3735 * vX_[369];
+ vX_[1566] = -0.00571 + vX_[368] + vX_[248] + vX_[136] + vX_[1566];
+ vX_[136] = -0.207 * vX_[96];
+ vX_[248] = 0.207 * vX_[208];
+ vX_[368] = -0.207 * vX_[328];
+ vX_[1573] = 0.207 * vX_[450];
+ vX_[1542] = ((vX_[92] * vX_[588]) / vX_[92] + vX_[813] + vX_[136] * vX_[744] + vX_[95] * vX_[787] + vX_[248] * vX_[996] + vX_[206] * vX_[1033] + -1 * (vX_[1058] + (vX_[203] * vX_[865]) / vX_[203]) + (vX_[324] * vX_[1082]) / vX_[324] + vX_[1298] + vX_[368] * vX_[1231] + vX_[327] * vX_[1272] + vX_[1573] * vX_[1479] + vX_[448] * vX_[1516] + -1 * (vX_[1542] + (vX_[445] * vX_[1351]) / vX_[445])) / vX_[583];
+ vX_[580] = 5.5837 + vX_[498] + vX_[553] + vX_[512] + vX_[562] + vX_[526] + vX_[571] + vX_[540] + vX_[580] - vX_[1566] * vX_[1567];
+ vX_[571] = (vX_[26] * vX_[753] + vX_[96] * vX_[793] + vX_[97] * vX_[744] + vX_[1569] * vX_[787] + vX_[138] * vX_[1003] + vX_[209] * vX_[1038] + vX_[210] * vX_[996] + vX_[1570] * vX_[1033] + vX_[249] * vX_[1239] + vX_[328] * vX_[1278] + vX_[329] * vX_[1231] + vX_[1571] * vX_[1272] + vX_[370] * vX_[1486] + vX_[451] * vX_[1522] + vX_[452] * vX_[1479] + vX_[1572] * vX_[1516] - vX_[1566] * vX_[1542]) / vX_[580];
+ vX_[1565] = (0.012668 + vX_[1519] + vX_[1563] + vX_[1564] + vX_[1565] - vX_[1566] * vX_[584]) / vX_[580];
+ vX_[582] = 6.056973 + vX_[498] + vX_[555] + vX_[512] + vX_[564] + vX_[526] + vX_[573] + vX_[540] + vX_[582] - vX_[1568] * vX_[1565] - vX_[490] * vX_[584];
+ vX_[1522] = (vX_[96] * vX_[753] + vX_[98] * vX_[793] + 0.207 * vX_[748] + vX_[99] * vX_[744] + vX_[834] * vX_[787] + vX_[208] * vX_[1003] + vX_[138] * vX_[1038] + 0.207 * vX_[959] + vX_[211] * vX_[996] + vX_[998] * vX_[1033] + vX_[328] * vX_[1239] + vX_[330] * vX_[1278] + 0.207 * vX_[1234] + vX_[331] * vX_[1231] + vX_[1318] * vX_[1272] + vX_[450] * vX_[1486] + vX_[370] * vX_[1522] + 0.207 * vX_[1442] + vX_[453] * vX_[1479] + vX_[1481] * vX_[1516] - vX_[1568] * vX_[571] - vX_[490] * vX_[1542]) / vX_[582];
+ vX_[130] = vX_[116] - vX_[130];
+ vX_[116] = vX_[94] + vX_[117] - vX_[130];
+ vX_[1486] = vX_[134] + vX_[118];
+ vX_[1278] = vX_[98] * vX_[116] + vX_[96] * vX_[1486];
+ vX_[1239] = vX_[123] + vX_[119];
+ vX_[1038] = vX_[129] + vX_[108] - vX_[130];
+ vX_[1003] = vX_[98] * vX_[1239] + vX_[96] * vX_[1038];
+ vX_[793] = vX_[1278] * vX_[96] + vX_[1003] * vX_[26];
+ vX_[242] = vX_[228] - vX_[242];
+ vX_[228] = vX_[205] + vX_[229] - vX_[242];
+ vX_[753] = vX_[246] + vX_[230];
+ vX_[573] = vX_[138] * vX_[228] + vX_[208] * vX_[753];
+ vX_[564] = vX_[235] + vX_[231];
+ vX_[555] = vX_[241] + vX_[220] - vX_[242];
+ vX_[540] = vX_[138] * vX_[564] + vX_[208] * vX_[555];
+ vX_[526] = vX_[573] * vX_[209] + vX_[540] * vX_[138];
+ vX_[362] = vX_[348] - vX_[362];
+ vX_[348] = vX_[326] + vX_[349] - vX_[362];
+ vX_[512] = vX_[366] + vX_[350];
+ vX_[498] = vX_[330] * vX_[348] + vX_[328] * vX_[512];
+ vX_[1564] = vX_[355] + vX_[351];
+ vX_[1563] = vX_[361] + vX_[340] - vX_[362];
+ vX_[1519] = vX_[330] * vX_[1564] + vX_[328] * vX_[1563];
+ vX_[562] = vX_[498] * vX_[328] + vX_[1519] * vX_[249];
+ vX_[484] = vX_[470] - vX_[484];
+ vX_[470] = vX_[447] + vX_[471] - vX_[484];
+ vX_[553] = vX_[488] + vX_[472];
+ vX_[1298] = vX_[370] * vX_[470] + vX_[450] * vX_[553];
+ vX_[1058] = vX_[477] + vX_[473];
+ vX_[813] = vX_[483] + vX_[462] - vX_[484];
+ vX_[1574] = vX_[370] * vX_[1058] + vX_[450] * vX_[813];
+ vX_[1575] = vX_[1298] * vX_[451] + vX_[1574] * vX_[370];
+ vX_[1576] = vX_[209] * vX_[564] + vX_[138] * vX_[555];
+ vX_[1577] = vX_[209] * vX_[228] + vX_[138] * vX_[753];
+ vX_[1578] = vX_[1576] * vX_[138] + vX_[1577] * vX_[209] + vX_[242];
+ vX_[1579] = vX_[96] * vX_[1239] + vX_[26] * vX_[1038];
+ vX_[1580] = vX_[96] * vX_[116] + vX_[26] * vX_[1486];
+ vX_[1581] = vX_[1579] * vX_[26] + vX_[1580] * vX_[96] + vX_[130];
+ vX_[1582] = vX_[328] * vX_[1564] + vX_[249] * vX_[1563];
+ vX_[1583] = vX_[328] * vX_[348] + vX_[249] * vX_[512];
+ vX_[1584] = vX_[1582] * vX_[249] + vX_[1583] * vX_[328] + vX_[362];
+ vX_[1585] = vX_[451] * vX_[1058] + vX_[370] * vX_[813];
+ vX_[1586] = vX_[451] * vX_[470] + vX_[370] * vX_[553];
+ vX_[1587] = vX_[1585] * vX_[370] + vX_[1586] * vX_[451] + vX_[484];
+ vX_[1588] = vX_[494] + vX_[104];
+ vX_[1589] = vX_[497] + vX_[1588];
+ vX_[1590] = vX_[503] + vX_[81];
+ vX_[1591] = vX_[496] + vX_[1590];
+ vX_[1588] = 0 - vX_[1588];
+ vX_[1592] = vX_[98] * vX_[1588] + vX_[96] * vX_[1590];
+ vX_[1593] = vX_[1589] * vX_[26] + vX_[1591] * vX_[96] - vX_[1592];
+ vX_[1594] = vX_[508] + vX_[216];
+ vX_[1595] = -1 * (vX_[511] + vX_[1594]);
+ vX_[1596] = vX_[517] + vX_[192];
+ vX_[1597] = -1 * (vX_[510] + vX_[1596]);
+ vX_[1594] = 0 - vX_[1594];
+ vX_[1598] = vX_[138] * vX_[1594] + vX_[208] * vX_[1596];
+ vX_[1599] = vX_[1595] * vX_[138] + vX_[1597] * vX_[209] - vX_[1598];
+ vX_[1600] = vX_[522] + vX_[336];
+ vX_[1601] = vX_[525] + vX_[1600];
+ vX_[1602] = vX_[531] + vX_[313];
+ vX_[1603] = vX_[524] + vX_[1602];
+ vX_[1600] = 0 - vX_[1600];
+ vX_[1604] = vX_[330] * vX_[1600] + vX_[328] * vX_[1602];
+ vX_[1605] = vX_[1601] * vX_[249] + vX_[1603] * vX_[328] - vX_[1604];
+ vX_[1606] = vX_[536] + vX_[458];
+ vX_[1607] = -1 * (vX_[539] + vX_[1606]);
+ vX_[1608] = vX_[545] + vX_[434];
+ vX_[1609] = -1 * (vX_[538] + vX_[1608]);
+ vX_[1606] = 0 - vX_[1606];
+ vX_[1610] = vX_[370] * vX_[1606] + vX_[450] * vX_[1608];
+ vX_[1611] = vX_[1607] * vX_[370] + vX_[1609] * vX_[451] - vX_[1610];
+ vX_[1612] = (-2.0678571 + vX_[1593] + vX_[1599] + vX_[1605] + vX_[1611]) / vX_[583];
+ vX_[1613] = (vX_[1578] + vX_[1581] + vX_[1584] + vX_[1587] - vX_[1566] * vX_[1612]) / vX_[580];
+ vX_[1614] = (-1.1915559 + vX_[793] + vX_[526] + vX_[562] + vX_[1575] - vX_[1568] * vX_[1613] - vX_[490] * vX_[1612]) / vX_[582];
+ vX_[1615] = 0 - vX_[137];
+ vX_[1616] = 0 - vX_[208];
+ vX_[1617] = 0 - vX_[369];
+ vX_[1618] = 0 - vX_[450];
+ vX_[1611] = -2.0678571 + vX_[1593] + vX_[1599] + vX_[1605] + vX_[1611];
+ vX_[1587] = vX_[1578] + vX_[1581] + vX_[1584] + vX_[1587] - vX_[1611] * vX_[1567];
+ vX_[1575] = -1.1915559 + vX_[793] + vX_[526] + vX_[562] + vX_[1575] - vX_[1587] * vX_[1565] - vX_[1611] * vX_[584];
+ vX_[562] = 0 - vX_[234];
+ vX_[526] = vX_[138] * vX_[562] + vX_[208] * vX_[227];
+ vX_[793] = 0 - vX_[122];
+ vX_[1584] = vX_[98] * vX_[793] + vX_[96] * vX_[115];
+ vX_[1581] = 0 - vX_[354];
+ vX_[1578] = vX_[330] * vX_[1581] + vX_[328] * vX_[347];
+ vX_[1605] = 0 - vX_[476];
+ vX_[1599] = vX_[370] * vX_[1605] + vX_[450] * vX_[469];
+ vX_[1593] = (vX_[242] + vX_[130] + vX_[362] + vX_[484]) / vX_[583];
+ vX_[1619] = (2.0678571 + vX_[1592] + vX_[1598] + vX_[1604] + vX_[1610] - vX_[1566] * vX_[1593]) / vX_[580];
+ vX_[1620] = vX_[96] * vX_[1588] + vX_[26] * vX_[1590];
+ vX_[1621] = 0 - vX_[1620];
+ vX_[1622] = vX_[209] * vX_[1594] + vX_[138] * vX_[1596];
+ vX_[1623] = 0 - vX_[1622];
+ vX_[1624] = vX_[328] * vX_[1600] + vX_[249] * vX_[1602];
+ vX_[1625] = 0 - vX_[1624];
+ vX_[1626] = vX_[451] * vX_[1606] + vX_[370] * vX_[1608];
+ vX_[1627] = -0 - vX_[1626];
+ vX_[1628] = (0.0053433 + vX_[1621] + vX_[1623] + vX_[1625] + vX_[1627] - vX_[1568] * vX_[1619] - vX_[490] * vX_[1593]) / vX_[582];
+ vX_[1629] = vX_[526] + vX_[1584] + vX_[1578] + vX_[1599] - vX_[1587] * vX_[1619] - vX_[1611] * vX_[1593] - vX_[1575] * vX_[1628];
+ vX_[1630] = vX_[242] + vX_[130] + vX_[362] + vX_[484];
+ vX_[1610] = 2.0678571 + vX_[1592] + vX_[1598] + vX_[1604] + vX_[1610] - vX_[1630] * vX_[1567];
+ vX_[1627] = 0.0053433 + vX_[1621] + vX_[1623] + vX_[1625] + vX_[1627] - vX_[1610] * vX_[1565] - vX_[1630] * vX_[584];
+ vX_[1625] = vX_[121] - vX_[132];
+ vX_[1623] = vX_[133] - vX_[132];
+ vX_[1621] = vX_[233] - vX_[244];
+ vX_[1604] = vX_[245] - vX_[244];
+ vX_[1598] = vX_[353] - vX_[364];
+ vX_[1592] = vX_[365] - vX_[364];
+ vX_[1631] = vX_[475] - vX_[486];
+ vX_[1632] = vX_[487] - vX_[486];
+ vX_[1633] = vX_[96] * vX_[1623] + vX_[26] * vX_[107];
+ vX_[1634] = vX_[96] * vX_[107];
+ vX_[1635] = vX_[1634] + vX_[26] * vX_[1625];
+ vX_[1636] = vX_[1633] * vX_[96] + vX_[1635] * vX_[26];
+ vX_[1634] = vX_[98] * vX_[1623] + vX_[1634];
+ vX_[1637] = vX_[98] * vX_[107] + vX_[96] * vX_[1625];
+ vX_[1638] = vX_[1634] * vX_[98] + vX_[1637] * vX_[96];
+ vX_[1639] = vX_[138] * vX_[219];
+ vX_[1640] = vX_[209] * vX_[1604] + vX_[1639];
+ vX_[1641] = vX_[209] * vX_[219] + vX_[138] * vX_[1621];
+ vX_[1642] = vX_[1640] * vX_[209] + vX_[1641] * vX_[138];
+ vX_[1643] = vX_[138] * vX_[1604] + vX_[208] * vX_[219];
+ vX_[1639] = vX_[1639] + vX_[208] * vX_[1621];
+ vX_[1644] = vX_[1643] * vX_[138] + vX_[1639] * vX_[208];
+ vX_[1645] = vX_[328] * vX_[1592] + vX_[249] * vX_[339];
+ vX_[1646] = vX_[328] * vX_[339];
+ vX_[1647] = vX_[1646] + vX_[249] * vX_[1598];
+ vX_[1648] = vX_[1645] * vX_[328] + vX_[1647] * vX_[249];
+ vX_[1646] = vX_[330] * vX_[1592] + vX_[1646];
+ vX_[1649] = vX_[330] * vX_[339] + vX_[328] * vX_[1598];
+ vX_[1650] = vX_[1646] * vX_[330] + vX_[1649] * vX_[328];
+ vX_[1651] = vX_[370] * vX_[461];
+ vX_[1652] = vX_[451] * vX_[1632] + vX_[1651];
+ vX_[1653] = vX_[451] * vX_[461] + vX_[370] * vX_[1631];
+ vX_[1654] = vX_[1652] * vX_[451] + vX_[1653] * vX_[370];
+ vX_[1655] = vX_[370] * vX_[1632] + vX_[450] * vX_[461];
+ vX_[1651] = vX_[1651] + vX_[450] * vX_[1631];
+ vX_[1656] = vX_[1655] * vX_[370] + vX_[1651] * vX_[450];
+ vX_[1657] = 53.433 + vX_[1625] + vX_[1623] + vX_[132] + vX_[1621] + vX_[1604] + vX_[244] + vX_[1598] + vX_[1592] + vX_[364] + vX_[1631] + vX_[1632] + vX_[486] - vX_[1636] - vX_[1638] - vX_[1642] - vX_[1644] - vX_[1648] - vX_[1650] - vX_[1654] - vX_[1656] - vX_[1610] * vX_[1619] - vX_[1630] * vX_[1593] - vX_[1627] * vX_[1628];
+ vX_[1442] = (vX_[748] + -1 * vX_[959] + vX_[1234] + -1 * vX_[1442] - vX_[1610] * vX_[571] - vX_[1630] * vX_[1542] - vX_[1627] * vX_[1522]) / vX_[1657];
+ vX_[1599] = (vX_[526] + vX_[1584] + vX_[1578] + vX_[1599] - vX_[1610] * vX_[1613] - vX_[1630] * vX_[1612] - vX_[1627] * vX_[1614]) / vX_[1657];
+ vX_[1654] = 53.433 + vX_[132] + vX_[1636] + vX_[244] + vX_[1642] + vX_[364] + vX_[1648] + vX_[486] + vX_[1654] - vX_[1587] * vX_[1613] - vX_[1611] * vX_[1612] - vX_[1575] * vX_[1614] - vX_[1629] * vX_[1599];
+ vX_[1648] = (vX_[26] * vX_[744] + vX_[96] * vX_[787] + vX_[1615] * vX_[996] + vX_[1616] * vX_[1033] + vX_[249] * vX_[1231] + vX_[328] * vX_[1272] + vX_[1617] * vX_[1479] + vX_[1618] * vX_[1516] - vX_[1587] * vX_[571] - vX_[1611] * vX_[1542] - vX_[1575] * vX_[1522] - vX_[1629] * vX_[1442]) / vX_[1654];
+ vX_[1642] = vX_[1643] * vX_[209] + vX_[1639] * vX_[138];
+ vX_[1636] = vX_[1634] * vX_[96] + vX_[1637] * vX_[26];
+ vX_[1578] = vX_[1646] * vX_[328] + vX_[1649] * vX_[249];
+ vX_[1584] = vX_[1655] * vX_[451] + vX_[1651] * vX_[370];
+ vX_[526] = vX_[1580] * vX_[98] + vX_[1579] * vX_[96];
+ vX_[1234] = vX_[1577] * vX_[138] + vX_[1576] * vX_[208];
+ vX_[959] = vX_[1583] * vX_[330] + vX_[1582] * vX_[328];
+ vX_[748] = vX_[1586] * vX_[370] + vX_[1585] * vX_[450];
+ vX_[1620] = vX_[1589] * vX_[96] + vX_[1591] * vX_[98] + vX_[1620];
+ vX_[1622] = vX_[1595] * vX_[208] + vX_[1597] * vX_[138] + vX_[1622];
+ vX_[1624] = vX_[1601] * vX_[328] + vX_[1603] * vX_[330] + vX_[1624];
+ vX_[1626] = vX_[1607] * vX_[450] + vX_[1609] * vX_[370] + vX_[1626];
+ vX_[1658] = (-0.0053433 + vX_[1620] + vX_[1622] + vX_[1624] + vX_[1626]) / vX_[583];
+ vX_[1659] = (1.1915559 + vX_[526] + vX_[1234] + vX_[959] + vX_[748] - vX_[1566] * vX_[1658]) / vX_[580];
+ vX_[242] = vX_[540] * vX_[208] + vX_[573] * vX_[138] + vX_[242];
+ vX_[130] = vX_[1003] * vX_[96] + vX_[1278] * vX_[98] + vX_[130];
+ vX_[362] = vX_[1519] * vX_[328] + vX_[498] * vX_[330] + vX_[362];
+ vX_[484] = vX_[1574] * vX_[450] + vX_[1298] * vX_[370] + vX_[484];
+ vX_[1660] = (vX_[242] + vX_[130] + vX_[362] + vX_[484] - vX_[1568] * vX_[1659] - vX_[490] * vX_[1658]) / vX_[582];
+ vX_[1661] = 0 - vX_[138] * vX_[227] - vX_[209] * vX_[562];
+ vX_[1662] = 0 - vX_[26] * vX_[115] - vX_[96] * vX_[793];
+ vX_[1663] = 0 - vX_[249] * vX_[347] - vX_[328] * vX_[1581];
+ vX_[1664] = 0 - vX_[370] * vX_[469] - vX_[451] * vX_[1605];
+ vX_[1665] = (vX_[1661] + vX_[1662] + vX_[1663] + vX_[1664] - vX_[1610] * vX_[1659] - vX_[1630] * vX_[1658] - vX_[1627] * vX_[1660]) / vX_[1657];
+ vX_[1666] = (vX_[1642] + vX_[1636] + vX_[1578] + vX_[1584] - vX_[1587] * vX_[1659] - vX_[1611] * vX_[1658] - vX_[1575] * vX_[1660] - vX_[1629] * vX_[1665]) / vX_[1654];
+ vX_[1667] = 0 - vX_[26];
+ vX_[1668] = 0 - vX_[137];
+ vX_[1669] = 0 - vX_[249];
+ vX_[1670] = 0 - vX_[369];
+ vX_[1626] = -0.0053433 + vX_[1620] + vX_[1622] + vX_[1624] + vX_[1626];
+ vX_[748] = 1.1915559 + vX_[526] + vX_[1234] + vX_[959] + vX_[748] - vX_[1626] * vX_[1567];
+ vX_[484] = vX_[242] + vX_[130] + vX_[362] + vX_[484] - vX_[748] * vX_[1565] - vX_[1626] * vX_[584];
+ vX_[1664] = vX_[1661] + vX_[1662] + vX_[1663] + vX_[1664] - vX_[748] * vX_[1619] - vX_[1626] * vX_[1593] - vX_[484] * vX_[1628];
+ vX_[1584] = vX_[1642] + vX_[1636] + vX_[1578] + vX_[1584] - vX_[748] * vX_[1613] - vX_[1626] * vX_[1612] - vX_[484] * vX_[1614] - vX_[1664] * vX_[1599];
+ vX_[1656] = 53.433 + vX_[132] + vX_[1638] + vX_[244] + vX_[1644] + vX_[364] + vX_[1650] + vX_[486] + vX_[1656] - vX_[748] * vX_[1659] - vX_[1626] * vX_[1658] - vX_[484] * vX_[1660] - vX_[1664] * vX_[1665] - vX_[1584] * vX_[1666];
+ vX_[1516] = (vX_[96] * vX_[744] + vX_[1667] * vX_[787] + vX_[208] * vX_[996] + vX_[1668] * vX_[1033] + vX_[328] * vX_[1231] + vX_[1669] * vX_[1272] + vX_[450] * vX_[1479] + vX_[1670] * vX_[1516] - vX_[748] * vX_[571] - vX_[1626] * vX_[1542] - vX_[484] * vX_[1522] - vX_[1664] * vX_[1442] - vX_[1584] * vX_[1648]) / vX_[1656];
+ vX_[1648] = vX_[1648] - vX_[1666] * vX_[1516];
+ vX_[1442] = vX_[1442] - vX_[1665] * vX_[1516] - vX_[1599] * vX_[1648];
+ vX_[1522] = vX_[1522] - vX_[1614] * vX_[1648] - vX_[1628] * vX_[1442] - vX_[1660] * vX_[1516];
+ jac[20] = - vX_[1522];
+ vX_[571] = vX_[571] - vX_[1619] * vX_[1442] - vX_[1565] * vX_[1522] - vX_[1613] * vX_[1648] - vX_[1659] * vX_[1516];
+ jac[18] = vX_[584] * vX_[1522] + vX_[1567] * vX_[571] + vX_[1593] * vX_[1442] + vX_[1612] * vX_[1648] + vX_[1658] * vX_[1516] - vX_[1542];
+ jac[19] = - vX_[571];
+ vX_[1442] = - vX_[1442];
+ vX_[571] = 0.5 * x_in[0];
+ vX_[1522] = cos(vX_[571]);
+ vX_[1542] = 0.5 * x_in[1];
+ vX_[1479] = cos(vX_[1542]);
+ vX_[1272] = vX_[1522] * vX_[1479];
+ vX_[1231] = 0.5 * x_in[2];
+ vX_[1033] = sin(vX_[1231]);
+ vX_[996] = sin(vX_[571]);
+ vX_[787] = sin(vX_[1542]);
+ vX_[744] = vX_[996] * vX_[787];
+ vX_[1650] = cos(vX_[1231]);
+ vX_[1644] = 2. * (vX_[1272] * vX_[1033] + vX_[744] * vX_[1650]);
+ vX_[1638] = 0.5 * cos(vX_[571]);
+ vX_[1578] = vX_[1638] * vX_[1479];
+ vX_[571] = -0.5 * sin(vX_[571]);
+ vX_[1636] = vX_[571] * vX_[787];
+ vX_[1642] = vX_[1578] * vX_[1650] + vX_[1636] * vX_[1033];
+ vX_[571] = vX_[571] * vX_[1479];
+ vX_[1638] = vX_[1638] * vX_[787];
+ vX_[1663] = 2. * (vX_[571] * vX_[1033] + vX_[1638] * vX_[1650]);
+ vX_[1479] = vX_[996] * vX_[1479];
+ vX_[787] = vX_[1522] * vX_[787];
+ vX_[1662] = vX_[1479] * vX_[1650] + vX_[787] * vX_[1033];
+ vX_[1661] = vX_[787] * vX_[1650] - vX_[1479] * vX_[1033];
+ vX_[362] = 2. * vX_[1661];
+ vX_[1638] = vX_[571] * vX_[1650] - vX_[1638] * vX_[1033];
+ vX_[1636] = vX_[1636] * vX_[1650] - vX_[1578] * vX_[1033];
+ vX_[1578] = 2. * vX_[1636];
+ vX_[571] = vX_[1272] * vX_[1650] - vX_[744] * vX_[1033];
+ jac[21] = vX_[1442] + -9.81 * (vX_[1644] * vX_[1642] + vX_[1663] * vX_[1662] - (vX_[362] * vX_[1638] + vX_[1578] * vX_[571]));
+ vX_[1648] = - vX_[1648];
+ vX_[130] = 2. * vX_[1662];
+ vX_[242] = 2. * vX_[1642];
+ jac[22] = vX_[1648] + -9.81 * (vX_[1644] * vX_[1636] + vX_[1663] * vX_[1661] + vX_[130] * vX_[1638] + vX_[242] * vX_[571]);
+ vX_[1516] = - vX_[1516];
+ jac[23] = vX_[1516] + -9.81 * (0 - (vX_[362] * vX_[1636] + vX_[1578] * vX_[1661]) - (vX_[130] * vX_[1642] + vX_[242] * vX_[1662]));
+ vX_[242] = -1 * jac[18];
+ vX_[1578] = vX_[450] * jac[20] + vX_[370] * jac[19];
+ vX_[1636] = vX_[370] * jac[20] + vX_[451] * jac[19];
+ vX_[1642] = -1 * vX_[1442];
+ vX_[1638] = 0.207 * jac[20] + vX_[1642];
+ vX_[1663] = vX_[1481] * jac[20] + vX_[1572] * jac[19] + vX_[448] * jac[18] + vX_[1670] * vX_[1516] + vX_[1618] * vX_[1648];
+ jac[24] = (vX_[1351] - vX_[445] * vX_[242] - vX_[482] * vX_[1578] - vX_[440] * vX_[1636] - vX_[467] * vX_[1638] - vX_[459] * (vX_[453] * jac[20] + vX_[452] * jac[19] + vX_[1573] * jac[18] + vX_[450] * vX_[1516] + vX_[1617] * vX_[1648]) - vX_[443] * vX_[1663]) / vX_[445];
+ vX_[1351] = -1 * vX_[1578];
+ vX_[959] = vX_[242] + jac[24];
+ vX_[1234] = vX_[371] * vX_[1638] + vX_[1562] * vX_[1663] + vX_[1275] * vX_[1578];
+ vX_[1663] = vX_[398] * vX_[1638] + vX_[371] * vX_[1663] + vX_[419] * vX_[1578];
+ jac[25] = (vX_[1518] - vX_[395] * vX_[1351] - vX_[402] * (vX_[371] * vX_[959] + vX_[399] * vX_[1636]) - vX_[383] * (vX_[398] * vX_[959] + vX_[371] * vX_[1636]) - vX_[393] * vX_[1234] - vX_[406] * vX_[1663]) / vX_[395];
+ vX_[1351] = vX_[1351] + jac[25];
+ jac[26] = (vX_[1434] - 0.1104774 * (vX_[372] * vX_[1234] + vX_[1520] * vX_[1663] + vX_[1517] * vX_[1351]) - -0.0004405 * (vX_[374] * vX_[1234] + vX_[372] * vX_[1663] + vX_[377] * vX_[1351]) - 0.026181 * vX_[1351]) / 0.026181;
+ vX_[1351] = vX_[328] * jac[20] + vX_[249] * jac[19];
+ vX_[1663] = vX_[330] * jac[20] + vX_[328] * jac[19];
+ vX_[1234] = 0.207 * jac[20] + vX_[1442];
+ vX_[1434] = vX_[1318] * jac[20] + vX_[1571] * jac[19] + vX_[327] * jac[18] + vX_[1669] * vX_[1516] + vX_[328] * vX_[1648];
+ jac[27] = (vX_[1082] - vX_[324] * jac[18] - vX_[360] * vX_[1351] - vX_[319] * vX_[1663] - vX_[345] * vX_[1234] - vX_[337] * (vX_[331] * jac[20] + vX_[329] * jac[19] + vX_[368] * jac[18] + vX_[328] * vX_[1516] + vX_[249] * vX_[1648]) - vX_[322] * vX_[1434]) / vX_[324];
+ vX_[1082] = jac[18] + jac[27];
+ vX_[959] = vX_[1229] * vX_[1234] + vX_[1319] * vX_[1434] + vX_[1274] * vX_[1351];
+ vX_[1434] = vX_[698] * vX_[1234] + vX_[250] * vX_[1434] + vX_[299] * vX_[1351];
+ jac[28] = (vX_[1273] - vX_[274] * vX_[1351] - vX_[281] * (vX_[297] * vX_[1082] + vX_[278] * vX_[1663]) - vX_[262] * (vX_[278] * vX_[1082] + vX_[250] * vX_[1663]) - vX_[272] * vX_[959] - vX_[285] * vX_[1434]) / vX_[274];
+ vX_[1351] = vX_[1351] + jac[28];
+ jac[29] = (vX_[1188] - 0.1104774 * (vX_[251] * vX_[959] + vX_[1276] * vX_[1434] + vX_[1252] * vX_[1351]) - -0.0004405 * (vX_[253] * vX_[959] + vX_[251] * vX_[1434] + vX_[256] * vX_[1351]) - 0.026181 * vX_[1351]) / 0.026181;
+ vX_[1351] = vX_[208] * jac[20] + vX_[138] * jac[19];
+ vX_[1434] = vX_[138] * jac[20] + vX_[209] * jac[19];
+ vX_[1642] = 0.207 * jac[20] + vX_[1642];
+ vX_[959] = vX_[998] * jac[20] + vX_[1570] * jac[19] + vX_[206] * jac[18] + vX_[1668] * vX_[1516] + vX_[1616] * vX_[1648];
+ jac[30] = (vX_[865] - vX_[203] * vX_[242] - vX_[240] * vX_[1351] - vX_[198] * vX_[1434] - vX_[225] * vX_[1642] - vX_[217] * (vX_[211] * jac[20] + vX_[210] * jac[19] + vX_[248] * jac[18] + vX_[208] * vX_[1516] + vX_[1615] * vX_[1648]) - vX_[201] * vX_[959]) / vX_[203];
+ vX_[865] = -1 * vX_[1351];
+ vX_[242] = vX_[242] + jac[30];
+ vX_[1188] = vX_[139] * vX_[1642] + vX_[1079] * vX_[959] + vX_[790] * vX_[1351];
+ vX_[959] = vX_[159] * vX_[1642] + vX_[139] * vX_[959] + vX_[177] * vX_[1351];
+ jac[31] = (vX_[1035] - vX_[156] * vX_[865] - 2.1e-05 * (vX_[139] * vX_[242] + vX_[160] * vX_[1434]) - -0.000102 * (vX_[159] * vX_[242] + vX_[139] * vX_[1434]) - vX_[154] * vX_[1188] - vX_[164] * vX_[959]) / vX_[156];
+ vX_[865] = vX_[865] + jac[31];
+ jac[32] = (vX_[951] - 0.110125 * (vX_[142] * vX_[1188] + vX_[1037] * vX_[959] + vX_[1034] * vX_[865]) - 0.000881 * (vX_[140] * vX_[1188] + vX_[142] * vX_[959] + vX_[141] * vX_[865]) - 0.026181 * vX_[865]) / 0.026181;
+ vX_[865] = vX_[96] * jac[20] + vX_[26] * jac[19];
+ vX_[959] = vX_[98] * jac[20] + vX_[96] * jac[19];
+ vX_[1442] = 0.207 * jac[20] + vX_[1442];
+ vX_[1188] = vX_[834] * jac[20] + vX_[1569] * jac[19] + vX_[95] * jac[18] + vX_[1667] * vX_[1516] + vX_[96] * vX_[1648];
+ jac[33] = (vX_[588] - vX_[92] * jac[18] - vX_[128] * vX_[865] - vX_[87] * vX_[959] - vX_[113] * vX_[1442] - vX_[105] * (vX_[99] * jac[20] + vX_[97] * jac[19] + vX_[136] * jac[18] + vX_[96] * vX_[1516] + vX_[26] * vX_[1648]) - vX_[90] * vX_[1188]) / vX_[92];
+ vX_[1516] = jac[18] + jac[33];
+ vX_[1648] = vX_[746] * vX_[1442] + vX_[835] * vX_[1188] + vX_[789] * vX_[865];
+ vX_[1188] = vX_[613] * vX_[1442] + vX_[13] * vX_[1188] + vX_[67] * vX_[865];
+ jac[34] = (vX_[788] - vX_[42] * vX_[865] - vX_[49] * (vX_[65] * vX_[1516] + vX_[46] * vX_[959]) - vX_[30] * (vX_[46] * vX_[1516] + vX_[13] * vX_[959]) - vX_[40] * vX_[1648] - vX_[53] * vX_[1188]) / vX_[42];
+ vX_[865] = vX_[865] + jac[34];
+ jac[35] = (vX_[701] - 0.1104774 * (vX_[15] * vX_[1648] + vX_[791] * vX_[1188] + vX_[766] * vX_[865]) - 0.0004405 * (vX_[23] * vX_[1648] + vX_[15] * vX_[1188] + vX_[25] * vX_[865]) - 0.026181 * vX_[865]) / 0.026181;
+ vX_[865] = cos(x_in[1]);
+ vX_[1188] = 1 / vX_[865];
+ vX_[865] = ((- vX_[1188]) * -1 * sin(x_in[1])) / vX_[865];
+ jac[648] = vX_[1188] * jac[685];
+ vX_[1648] = - vX_[865];
+ jac[36] = vX_[865] * jac[685] * x_in[18] + vX_[1648] * jac[649] * x_in[19];
+ vX_[701] = vX_[1188] * jac[649];
+ vX_[1516] = cos(x_in[1]);
+ vX_[959] = sin(x_in[1]);
+ jac[686] = vX_[701] * vX_[959];
+ vX_[788] = 0 - vX_[1188];
+ jac[684] = vX_[788] * jac[649];
+ vX_[1442] = vX_[788] * jac[685];
+ jac[38] = (vX_[701] * vX_[1516] + vX_[865] * jac[649] * vX_[959]) * x_in[19] + (vX_[1442] * vX_[1516] + vX_[1648] * jac[685] * vX_[959]) * x_in[18];
+ jac[650] = vX_[1442] * vX_[959];
+ vX_[1442] = -0.5 * sin(vX_[2]);
+ vX_[1516] = vX_[7] * vX_[1442];
+ vX_[2] = 0.5 * cos(vX_[2]);
+ vX_[701] = vX_[1] * vX_[2];
+ vX_[1648] = vX_[1516] * vX_[10] + vX_[701] * vX_[6];
+ vX_[1442] = vX_[1] * vX_[1442];
+ vX_[2] = vX_[7] * vX_[2];
+ vX_[7] = vX_[1442] * vX_[6] + vX_[2] * vX_[10];
+ vX_[1] = 2. * vX_[7];
+ vX_[865] = vX_[12] * vX_[1648] + vX_[1] * vX_[19];
+ vX_[2] = vX_[1442] * vX_[10] - vX_[2] * vX_[6];
+ vX_[701] = vX_[701] * vX_[10] - vX_[1516] * vX_[6];
+ vX_[1516] = 2. * vX_[701];
+ vX_[10] = vX_[22] * vX_[2] + vX_[1516] * vX_[0];
+ vX_[6] = vX_[22] * vX_[1648] + vX_[1516] * vX_[19];
+ vX_[1442] = vX_[12] * vX_[2] + vX_[1] * vX_[0];
+ vX_[7] = vX_[12] * vX_[7] + vX_[1] * vX_[11];
+ vX_[1516] = vX_[22] * vX_[701] + vX_[1516] * vX_[21];
+ jac[39] = (vX_[865] + vX_[10]) * x_in[23] + (vX_[6] - vX_[1442]) * x_in[22] + (0 - vX_[7] - vX_[1516]) * x_in[21];
+ vX_[701] = vX_[12] * vX_[701] + vX_[1] * vX_[21];
+ vX_[1] = 2. * vX_[1648];
+ vX_[2] = vX_[18] * vX_[2] + vX_[1] * vX_[0];
+ vX_[1] = vX_[18] * vX_[1648] + vX_[1] * vX_[19];
+ jac[40] = (vX_[701] - vX_[2]) * x_in[23] + (0 - vX_[7] - vX_[1]) * x_in[22] + (vX_[6] + vX_[1442]) * x_in[21];
+ jac[41] = (0 - vX_[1516] - vX_[1]) * x_in[23] + (vX_[701] + vX_[2]) * x_in[22] + (vX_[865] - vX_[10]) * x_in[21];
+ vX_[1] = 0.5 * cos(vX_[700]);
+ vX_[2] = vX_[699] * vX_[1];
+ vX_[700] = -0.5 * sin(vX_[700]);
+ vX_[701] = vX_[705] * vX_[700];
+ vX_[1516] = vX_[2] * vX_[704] - vX_[701] * vX_[708];
+ vX_[10] = 2. * vX_[1516];
+ vX_[701] = vX_[701] * vX_[704] + vX_[2] * vX_[708];
+ vX_[2] = 2. * vX_[701];
+ vX_[700] = vX_[699] * vX_[700];
+ vX_[1] = vX_[705] * vX_[1];
+ vX_[865] = 2. * (vX_[700] * vX_[708] + vX_[1] * vX_[704]);
+ vX_[1] = vX_[700] * vX_[704] - vX_[1] * vX_[708];
+ vX_[1] = (0 - (vX_[710] * vX_[1516] + vX_[10] * vX_[709]) - (vX_[712] * vX_[701] + vX_[2] * vX_[711])) * vX_[720] + (vX_[723] * vX_[1516] + vX_[865] * vX_[709] + vX_[712] * vX_[1] + vX_[2] * vX_[724]) * vX_[731] + (vX_[723] * vX_[701] + vX_[865] * vX_[711] - (vX_[710] * vX_[1] + vX_[10] * vX_[724])) * vX_[735];
+ vX_[865] = ((- vX_[739]) * 100. * vX_[1] * vX_[737]) / vX_[738];
+ vX_[2] = 0.5 * cos(vX_[612]);
+ vX_[701] = vX_[611] * vX_[2];
+ vX_[612] = -0.5 * sin(vX_[612]);
+ vX_[10] = vX_[617] * vX_[612];
+ vX_[1516] = vX_[701] * vX_[616] - vX_[10] * vX_[620];
+ vX_[700] = 2. * vX_[1516];
+ vX_[708] = vX_[622] * vX_[1516] + vX_[700] * vX_[621];
+ vX_[10] = vX_[10] * vX_[616] + vX_[701] * vX_[620];
+ vX_[701] = 2. * vX_[10];
+ vX_[704] = vX_[625] * vX_[10] + vX_[701] * vX_[624];
+ vX_[612] = vX_[611] * vX_[612];
+ vX_[2] = vX_[617] * vX_[2];
+ vX_[617] = vX_[612] * vX_[620] + vX_[2] * vX_[616];
+ vX_[611] = 2. * vX_[617];
+ vX_[1516] = vX_[658] * vX_[1516] + vX_[611] * vX_[621];
+ vX_[2] = vX_[612] * vX_[616] - vX_[2] * vX_[620];
+ vX_[701] = vX_[625] * vX_[2] + vX_[701] * vX_[660];
+ vX_[612] = vX_[658] * vX_[10] + vX_[611] * vX_[624];
+ vX_[620] = vX_[622] * vX_[2] + vX_[700] * vX_[660];
+ vX_[1] = vX_[697] * vX_[865] + -1000. * ((0 - vX_[708] - vX_[704]) * vX_[654] + (vX_[1516] + vX_[701]) * vX_[686] + (vX_[612] - vX_[620]) * vX_[696]) * vX_[739] + 5000. * -100. * vX_[1] * vX_[736];
+ vX_[616] = 0.5 * cos(vX_[590]);
+ vX_[7] = vX_[589] * vX_[616];
+ vX_[590] = -0.5 * sin(vX_[590]);
+ vX_[1442] = vX_[595] * vX_[590];
+ vX_[6] = vX_[7] * vX_[598] - vX_[1442] * vX_[594];
+ vX_[590] = vX_[589] * vX_[590];
+ vX_[616] = vX_[595] * vX_[616];
+ vX_[595] = vX_[590] * vX_[594] + vX_[616] * vX_[598];
+ vX_[589] = 2. * vX_[595];
+ vX_[1648] = vX_[600] * vX_[6] + vX_[589] * vX_[603];
+ vX_[616] = vX_[590] * vX_[598] - vX_[616] * vX_[594];
+ vX_[1442] = vX_[1442] * vX_[598] + vX_[7] * vX_[594];
+ vX_[7] = 2. * vX_[1442];
+ vX_[598] = vX_[606] * vX_[616] + vX_[7] * vX_[607];
+ vX_[617] = vX_[658] * vX_[617] + vX_[611] * vX_[657];
+ vX_[10] = vX_[622] * vX_[10] + vX_[700] * vX_[624];
+ vX_[2] = vX_[658] * vX_[2] + vX_[611] * vX_[660];
+ vX_[701] = vX_[761] * vX_[865] + -1000. * ((vX_[1516] - vX_[701]) * vX_[654] + (0 - vX_[617] - vX_[704]) * vX_[686] + (vX_[10] + vX_[2]) * vX_[696]) * vX_[739];
+ vX_[595] = vX_[600] * vX_[595] + vX_[589] * vX_[599];
+ vX_[7] = vX_[606] * vX_[1442] + vX_[7] * vX_[605];
+ vX_[2] = vX_[623] * vX_[865] + -1000. * ((vX_[612] + vX_[620]) * vX_[654] + (vX_[10] - vX_[2]) * vX_[686] + (0 - vX_[617] - vX_[708]) * vX_[696]) * vX_[739];
+ vX_[10] = 2. * vX_[6];
+ vX_[617] = vX_[747] * vX_[1442] + vX_[10] * vX_[605];
+ vX_[620] = vX_[600] * vX_[616] + vX_[589] * vX_[607];
+ vX_[612] = vX_[609] * vX_[1] + (vX_[1648] + vX_[598]) * vX_[754] + vX_[757] * vX_[701] + (0 - vX_[595] - vX_[7]) * vX_[743] + vX_[762] * vX_[2] + (vX_[617] - vX_[620]) * vX_[741];
+ vX_[1442] = vX_[600] * vX_[1442] + vX_[589] * vX_[605];
+ vX_[616] = vX_[747] * vX_[616] + vX_[10] * vX_[607];
+ vX_[10] = vX_[747] * vX_[6] + vX_[10] * vX_[603];
+ vX_[620] = vX_[768] * vX_[1] + (vX_[1442] - vX_[616]) * vX_[754] + vX_[706] * vX_[701] + (vX_[617] + vX_[620]) * vX_[743] + vX_[755] * vX_[2] + (0 - vX_[595] - vX_[10]) * vX_[741];
+ vX_[617] = vX_[587] * vX_[612] - vX_[765] * vX_[620];
+ vX_[10] = vX_[618] * vX_[1] + (0 - vX_[10] - vX_[7]) * vX_[754] + vX_[608] * vX_[701] + (vX_[1648] - vX_[598]) * vX_[743] + vX_[767] * vX_[2] + (vX_[1442] + vX_[616]) * vX_[741];
+ vX_[616] = vX_[771] * vX_[620] - vX_[587] * vX_[10];
+ vX_[1442] = 0 - vX_[96] * vX_[617] - vX_[26] * vX_[616] - vX_[610] * vX_[10] - vX_[742] * vX_[612] - vX_[749] * vX_[620];
+ vX_[2] = 0 - vX_[1442];
+ vX_[7] = (0.1104774 * vX_[2]) / 0.026181 - vX_[772] * vX_[10] - vX_[777] * vX_[612] - vX_[778] * vX_[620];
+ vX_[701] = (0.0004405 * vX_[2]) / 0.026181 - vX_[781] * vX_[10] - vX_[783] * vX_[612] - vX_[786] * vX_[620];
+ vX_[1442] = (0.026181 * vX_[2]) / 0.026181 + vX_[1442] + vX_[766] * vX_[7] + vX_[25] * vX_[701];
+ vX_[598] = 0 - vX_[1442];
+ vX_[1648] = vX_[15] * vX_[7] + vX_[23] * vX_[701] + (vX_[40] * vX_[598]) / vX_[42];
+ vX_[701] = vX_[791] * vX_[7] + vX_[15] * vX_[701] + (vX_[53] * vX_[598]) / vX_[42];
+ vX_[7] = vX_[765] * vX_[10] - vX_[771] * vX_[612];
+ vX_[1] = 0 - vX_[772] * vX_[617] - vX_[776] * vX_[616] - vX_[778] * vX_[7] - vX_[800] * vX_[10] - vX_[807] * vX_[612] - vX_[812] * vX_[620];
+ vX_[7] = 0 - vX_[780] * vX_[617] - vX_[783] * vX_[616] - vX_[785] * vX_[7] - vX_[821] * vX_[10] - vX_[828] * vX_[612] - vX_[833] * vX_[620];
+ vX_[10] = 0 - vX_[96] * vX_[10] - vX_[26] * vX_[612];
+ vX_[612] = vX_[15] * vX_[1] + vX_[23] * vX_[7] + -0.35 * vX_[10] + (vX_[49] * vX_[598]) / vX_[42];
+ vX_[7] = vX_[20] * vX_[1] + vX_[15] * vX_[7] + (vX_[30] * vX_[598]) / vX_[42];
+ vX_[1] = vX_[65] * vX_[612] + vX_[46] * vX_[7] + 0.08 * vX_[10];
+ vX_[616] = 0 - vX_[1];
+ vX_[1442] = (vX_[42] * vX_[598]) / vX_[42] + vX_[1442] + vX_[789] * vX_[1648] + vX_[67] * vX_[701] + (vX_[128] * vX_[616]) / vX_[92];
+ vX_[7] = vX_[46] * vX_[612] + vX_[13] * vX_[7] + (vX_[87] * vX_[616]) / vX_[92];
+ vX_[612] = vX_[746] * vX_[1648] + vX_[613] * vX_[701] + (vX_[113] * vX_[616]) / vX_[92];
+ vX_[10] = vX_[10] + (vX_[105] * vX_[616]) / vX_[92];
+ vX_[701] = vX_[835] * vX_[1648] + vX_[13] * vX_[701] + (vX_[90] * vX_[616]) / vX_[92];
+ vX_[1648] = 0.5 * cos(vX_[953]);
+ vX_[617] = vX_[952] * vX_[1648];
+ vX_[953] = -0.5 * sin(vX_[953]);
+ vX_[620] = vX_[958] * vX_[953];
+ vX_[595] = vX_[617] * vX_[957] - vX_[620] * vX_[961];
+ vX_[6] = 2. * vX_[595];
+ vX_[620] = vX_[620] * vX_[957] + vX_[617] * vX_[961];
+ vX_[617] = 2. * vX_[620];
+ vX_[953] = vX_[952] * vX_[953];
+ vX_[1648] = vX_[958] * vX_[1648];
+ vX_[958] = 2. * (vX_[953] * vX_[961] + vX_[1648] * vX_[957]);
+ vX_[1648] = vX_[953] * vX_[957] - vX_[1648] * vX_[961];
+ vX_[1648] = (0 - (vX_[963] * vX_[595] + vX_[6] * vX_[962]) - (vX_[965] * vX_[620] + vX_[617] * vX_[964])) * vX_[973] + (vX_[976] * vX_[595] + vX_[958] * vX_[962] + vX_[965] * vX_[1648] + vX_[617] * vX_[977]) * vX_[892] + (vX_[976] * vX_[620] + vX_[958] * vX_[964] - (vX_[963] * vX_[1648] + vX_[6] * vX_[977])) * vX_[987];
+ vX_[958] = ((- vX_[991]) * 100. * vX_[1648] * vX_[989]) / vX_[990];
+ vX_[617] = 0.5 * cos(vX_[864]);
+ vX_[620] = vX_[863] * vX_[617];
+ vX_[864] = -0.5 * sin(vX_[864]);
+ vX_[6] = vX_[869] * vX_[864];
+ vX_[595] = vX_[620] * vX_[868] - vX_[6] * vX_[872];
+ vX_[953] = 2. * vX_[595];
+ vX_[961] = vX_[874] * vX_[595] + vX_[953] * vX_[873];
+ vX_[6] = vX_[6] * vX_[868] + vX_[620] * vX_[872];
+ vX_[620] = 2. * vX_[6];
+ vX_[957] = vX_[877] * vX_[6] + vX_[620] * vX_[876];
+ vX_[864] = vX_[863] * vX_[864];
+ vX_[617] = vX_[869] * vX_[617];
+ vX_[869] = vX_[864] * vX_[872] + vX_[617] * vX_[868];
+ vX_[863] = 2. * vX_[869];
+ vX_[595] = vX_[912] * vX_[595] + vX_[863] * vX_[873];
+ vX_[617] = vX_[864] * vX_[868] - vX_[617] * vX_[872];
+ vX_[620] = vX_[877] * vX_[617] + vX_[620] * vX_[914];
+ vX_[864] = vX_[912] * vX_[6] + vX_[863] * vX_[876];
+ vX_[872] = vX_[874] * vX_[617] + vX_[953] * vX_[914];
+ vX_[1648] = vX_[950] * vX_[958] + -1000. * ((0 - vX_[961] - vX_[957]) * vX_[908] + (vX_[595] + vX_[620]) * vX_[939] + (vX_[864] - vX_[872]) * vX_[949]) * vX_[991] + 5000. * -100. * vX_[1648] * vX_[988];
+ vX_[868] = 0.5 * cos(vX_[842]);
+ vX_[952] = vX_[841] * vX_[868];
+ vX_[842] = -0.5 * sin(vX_[842]);
+ vX_[589] = vX_[847] * vX_[842];
+ vX_[708] = vX_[952] * vX_[850] - vX_[589] * vX_[846];
+ vX_[842] = vX_[841] * vX_[842];
+ vX_[868] = vX_[847] * vX_[868];
+ vX_[847] = vX_[842] * vX_[846] + vX_[868] * vX_[850];
+ vX_[841] = 2. * vX_[847];
+ vX_[865] = vX_[852] * vX_[708] + vX_[841] * vX_[855];
+ vX_[868] = vX_[842] * vX_[850] - vX_[868] * vX_[846];
+ vX_[589] = vX_[589] * vX_[850] + vX_[952] * vX_[846];
+ vX_[952] = 2. * vX_[589];
+ vX_[850] = vX_[858] * vX_[868] + vX_[952] * vX_[859];
+ vX_[869] = vX_[912] * vX_[869] + vX_[863] * vX_[911];
+ vX_[6] = vX_[874] * vX_[6] + vX_[953] * vX_[876];
+ vX_[617] = vX_[912] * vX_[617] + vX_[863] * vX_[914];
+ vX_[620] = vX_[1011] * vX_[958] + -1000. * ((vX_[595] - vX_[620]) * vX_[908] + (0 - vX_[869] - vX_[957]) * vX_[939] + (vX_[6] + vX_[617]) * vX_[949]) * vX_[991];
+ vX_[847] = vX_[852] * vX_[847] + vX_[841] * vX_[851];
+ vX_[952] = vX_[858] * vX_[589] + vX_[952] * vX_[857];
+ vX_[617] = vX_[875] * vX_[958] + -1000. * ((vX_[864] + vX_[872]) * vX_[908] + (vX_[6] - vX_[617]) * vX_[939] + (0 - vX_[869] - vX_[961]) * vX_[949]) * vX_[991];
+ vX_[6] = 2. * vX_[708];
+ vX_[869] = vX_[997] * vX_[589] + vX_[6] * vX_[857];
+ vX_[872] = vX_[852] * vX_[868] + vX_[841] * vX_[859];
+ vX_[864] = vX_[861] * vX_[1648] + (vX_[865] + vX_[850]) * vX_[1004] + vX_[1007] * vX_[620] + (0 - vX_[847] - vX_[952]) * vX_[995] + vX_[1012] * vX_[617] + (vX_[869] - vX_[872]) * vX_[993];
+ vX_[589] = vX_[852] * vX_[589] + vX_[841] * vX_[857];
+ vX_[868] = vX_[997] * vX_[868] + vX_[6] * vX_[859];
+ vX_[6] = vX_[997] * vX_[708] + vX_[6] * vX_[855];
+ vX_[872] = vX_[1018] * vX_[1648] + (vX_[589] - vX_[868]) * vX_[1004] + vX_[992] * vX_[620] + (vX_[869] + vX_[872]) * vX_[995] + vX_[1005] * vX_[617] + (0 - vX_[847] - vX_[6]) * vX_[993];
+ vX_[869] = vX_[839] * vX_[864] - vX_[1015] * vX_[872];
+ vX_[6] = vX_[870] * vX_[1648] + (0 - vX_[6] - vX_[952]) * vX_[1004] + vX_[860] * vX_[620] + (vX_[865] - vX_[850]) * vX_[995] + vX_[1017] * vX_[617] + (vX_[589] + vX_[868]) * vX_[993];
+ vX_[868] = vX_[1021] * vX_[872] - vX_[839] * vX_[6];
+ vX_[589] = 0 - vX_[836] * vX_[869] - vX_[137] * vX_[868] - vX_[862] * vX_[6] - vX_[994] * vX_[864] - vX_[999] * vX_[872];
+ vX_[617] = 0 - vX_[589];
+ vX_[952] = (0.110125 * vX_[617]) / 0.026181 - vX_[1006] * vX_[6] - vX_[1025] * vX_[864] - vX_[1026] * vX_[872];
+ vX_[620] = (0.000881 * vX_[617]) / 0.026181 - vX_[1028] * vX_[6] - vX_[1030] * vX_[864] - vX_[1032] * vX_[872];
+ vX_[589] = (0.026181 * vX_[617]) / 0.026181 + vX_[589] + vX_[1034] * vX_[952] + vX_[141] * vX_[620];
+ vX_[850] = 0 - vX_[589];
+ vX_[865] = vX_[142] * vX_[952] + vX_[140] * vX_[620] + (vX_[154] * vX_[850]) / vX_[156];
+ vX_[620] = vX_[1037] * vX_[952] + vX_[142] * vX_[620] + (vX_[164] * vX_[850]) / vX_[156];
+ vX_[952] = vX_[1015] * vX_[6] - vX_[1021] * vX_[864];
+ vX_[1648] = 0 - vX_[1006] * vX_[869] - vX_[1024] * vX_[868] - vX_[1026] * vX_[952] - vX_[1045] * vX_[6] - vX_[1052] * vX_[864] - vX_[1057] * vX_[872];
+ vX_[952] = 0 - vX_[1028] * vX_[869] - vX_[1029] * vX_[868] - vX_[1060] * vX_[952] - vX_[1067] * vX_[6] - vX_[1074] * vX_[864] - vX_[1078] * vX_[872];
+ vX_[6] = 0 - vX_[840] * vX_[6] - vX_[137] * vX_[864];
+ vX_[864] = vX_[142] * vX_[1648] + vX_[140] * vX_[952] + -0.35 * vX_[6] + (2.1e-05 * vX_[850]) / vX_[156];
+ vX_[952] = vX_[152] * vX_[1648] + vX_[142] * vX_[952] + (-0.000102 * vX_[850]) / vX_[156];
+ vX_[1648] = vX_[139] * vX_[864] + vX_[159] * vX_[952] + -0.08 * vX_[6];
+ vX_[868] = 0 - vX_[1648];
+ vX_[589] = vX_[790] * vX_[865] + vX_[177] * vX_[620] + -1 * (vX_[589] + (vX_[156] * vX_[850]) / vX_[156]) + (vX_[240] * vX_[868]) / vX_[203];
+ vX_[952] = vX_[160] * vX_[864] + vX_[139] * vX_[952] + (vX_[198] * vX_[868]) / vX_[203];
+ vX_[864] = vX_[139] * vX_[865] + vX_[159] * vX_[620] + (vX_[225] * vX_[868]) / vX_[203];
+ vX_[6] = -1 * vX_[6] + (vX_[217] * vX_[868]) / vX_[203];
+ vX_[620] = vX_[1079] * vX_[865] + vX_[139] * vX_[620] + (vX_[201] * vX_[868]) / vX_[203];
+ vX_[865] = 0.5 * cos(vX_[1190]);
+ vX_[869] = vX_[1189] * vX_[865];
+ vX_[1190] = -0.5 * sin(vX_[1190]);
+ vX_[872] = vX_[1195] * vX_[1190];
+ vX_[847] = vX_[869] * vX_[1194] - vX_[872] * vX_[1198];
+ vX_[708] = 2. * vX_[847];
+ vX_[872] = vX_[872] * vX_[1194] + vX_[869] * vX_[1198];
+ vX_[869] = 2. * vX_[872];
+ vX_[1190] = vX_[1189] * vX_[1190];
+ vX_[865] = vX_[1195] * vX_[865];
+ vX_[1195] = 2. * (vX_[1190] * vX_[1198] + vX_[865] * vX_[1194]);
+ vX_[865] = vX_[1190] * vX_[1194] - vX_[865] * vX_[1198];
+ vX_[865] = (0 - (vX_[1200] * vX_[847] + vX_[708] * vX_[1199]) - (vX_[1202] * vX_[872] + vX_[869] * vX_[1201])) * vX_[1209] + (vX_[1212] * vX_[847] + vX_[1195] * vX_[1199] + vX_[1202] * vX_[865] + vX_[869] * vX_[1213]) * vX_[1220] + (vX_[1212] * vX_[872] + vX_[1195] * vX_[1201] - (vX_[1200] * vX_[865] + vX_[708] * vX_[1213])) * vX_[1224];
+ vX_[1195] = ((- vX_[1228]) * 100. * vX_[865] * vX_[1226]) / vX_[1227];
+ vX_[869] = 0.5 * cos(vX_[1104]);
+ vX_[872] = vX_[699] * vX_[869];
+ vX_[1104] = -0.5 * sin(vX_[1104]);
+ vX_[708] = vX_[705] * vX_[1104];
+ vX_[847] = vX_[872] * vX_[1108] - vX_[708] * vX_[1111];
+ vX_[1190] = 2. * vX_[847];
+ vX_[1198] = vX_[1113] * vX_[847] + vX_[1190] * vX_[1112];
+ vX_[708] = vX_[708] * vX_[1108] + vX_[872] * vX_[1111];
+ vX_[872] = 2. * vX_[708];
+ vX_[1194] = vX_[1116] * vX_[708] + vX_[872] * vX_[1115];
+ vX_[1104] = vX_[699] * vX_[1104];
+ vX_[869] = vX_[705] * vX_[869];
+ vX_[705] = vX_[1104] * vX_[1111] + vX_[869] * vX_[1108];
+ vX_[699] = 2. * vX_[705];
+ vX_[847] = vX_[1149] * vX_[847] + vX_[699] * vX_[1112];
+ vX_[869] = vX_[1104] * vX_[1108] - vX_[869] * vX_[1111];
+ vX_[872] = vX_[1116] * vX_[869] + vX_[872] * vX_[1151];
+ vX_[1104] = vX_[1149] * vX_[708] + vX_[699] * vX_[1115];
+ vX_[1111] = vX_[1113] * vX_[869] + vX_[1190] * vX_[1151];
+ vX_[865] = vX_[1187] * vX_[1195] + -1000. * ((0 - vX_[1198] - vX_[1194]) * vX_[1145] + (vX_[847] + vX_[872]) * vX_[1176] + (vX_[1104] - vX_[1111]) * vX_[1186]) * vX_[1228] + 5000. * -100. * vX_[865] * vX_[1225];
+ vX_[1108] = 0.5 * cos(vX_[1084]);
+ vX_[1189] = vX_[1083] * vX_[1108];
+ vX_[1084] = -0.5 * sin(vX_[1084]);
+ vX_[841] = vX_[1089] * vX_[1084];
+ vX_[961] = vX_[1189] * vX_[1092] - vX_[841] * vX_[1088];
+ vX_[1084] = vX_[1083] * vX_[1084];
+ vX_[1108] = vX_[1089] * vX_[1108];
+ vX_[1089] = vX_[1084] * vX_[1088] + vX_[1108] * vX_[1092];
+ vX_[1083] = 2. * vX_[1089];
+ vX_[958] = vX_[1094] * vX_[961] + vX_[1083] * vX_[1097];
+ vX_[1108] = vX_[1084] * vX_[1092] - vX_[1108] * vX_[1088];
+ vX_[841] = vX_[841] * vX_[1092] + vX_[1189] * vX_[1088];
+ vX_[1189] = 2. * vX_[841];
+ vX_[1092] = vX_[1100] * vX_[1108] + vX_[1189] * vX_[1101];
+ vX_[705] = vX_[1149] * vX_[705] + vX_[699] * vX_[1148];
+ vX_[708] = vX_[1113] * vX_[708] + vX_[1190] * vX_[1115];
+ vX_[869] = vX_[1149] * vX_[869] + vX_[699] * vX_[1151];
+ vX_[872] = vX_[1247] * vX_[1195] + -1000. * ((vX_[847] - vX_[872]) * vX_[1145] + (0 - vX_[705] - vX_[1194]) * vX_[1176] + (vX_[708] + vX_[869]) * vX_[1186]) * vX_[1228];
+ vX_[1089] = vX_[1094] * vX_[1089] + vX_[1083] * vX_[1093];
+ vX_[1189] = vX_[1100] * vX_[841] + vX_[1189] * vX_[1099];
+ vX_[869] = vX_[1114] * vX_[1195] + -1000. * ((vX_[1104] + vX_[1111]) * vX_[1145] + (vX_[708] - vX_[869]) * vX_[1176] + (0 - vX_[705] - vX_[1198]) * vX_[1186]) * vX_[1228];
+ vX_[708] = 2. * vX_[961];
+ vX_[705] = vX_[1196] * vX_[841] + vX_[708] * vX_[1099];
+ vX_[1111] = vX_[1094] * vX_[1108] + vX_[1083] * vX_[1101];
+ vX_[1104] = vX_[1103] * vX_[865] + (vX_[958] + vX_[1092]) * vX_[1240] + vX_[1243] * vX_[872] + (0 - vX_[1089] - vX_[1189]) * vX_[1233] + vX_[1248] * vX_[869] + (vX_[705] - vX_[1111]) * vX_[1109];
+ vX_[841] = vX_[1094] * vX_[841] + vX_[1083] * vX_[1099];
+ vX_[1108] = vX_[1196] * vX_[1108] + vX_[708] * vX_[1101];
+ vX_[708] = vX_[1196] * vX_[961] + vX_[708] * vX_[1097];
+ vX_[1111] = vX_[1254] * vX_[865] + (vX_[841] - vX_[1108]) * vX_[1240] + vX_[1232] * vX_[872] + (vX_[705] + vX_[1111]) * vX_[1233] + vX_[1241] * vX_[869] + (0 - vX_[1089] - vX_[708]) * vX_[1109];
+ vX_[705] = vX_[1081] * vX_[1104] - vX_[1251] * vX_[1111];
+ vX_[708] = vX_[740] * vX_[865] + (0 - vX_[708] - vX_[1189]) * vX_[1240] + vX_[1102] * vX_[872] + (vX_[958] - vX_[1092]) * vX_[1233] + vX_[1253] * vX_[869] + (vX_[841] + vX_[1108]) * vX_[1109];
+ vX_[1108] = vX_[1257] * vX_[1111] - vX_[1081] * vX_[708];
+ vX_[841] = 0 - vX_[328] * vX_[705] - vX_[249] * vX_[1108] - vX_[1105] * vX_[708] - vX_[1230] * vX_[1104] - vX_[1235] * vX_[1111];
+ vX_[869] = 0 - vX_[841];
+ vX_[1189] = (0.1104774 * vX_[869]) / 0.026181 - vX_[1258] * vX_[708] - vX_[1263] * vX_[1104] - vX_[1265] * vX_[1111];
+ vX_[872] = (-0.0004405 * vX_[869]) / 0.026181 - vX_[1267] * vX_[708] - vX_[1269] * vX_[1104] - vX_[1271] * vX_[1111];
+ vX_[841] = (0.026181 * vX_[869]) / 0.026181 + vX_[841] + vX_[1252] * vX_[1189] + vX_[256] * vX_[872];
+ vX_[1092] = 0 - vX_[841];
+ vX_[958] = vX_[251] * vX_[1189] + vX_[253] * vX_[872] + (vX_[272] * vX_[1092]) / vX_[274];
+ vX_[872] = vX_[1276] * vX_[1189] + vX_[251] * vX_[872] + (vX_[285] * vX_[1092]) / vX_[274];
+ vX_[1189] = vX_[1251] * vX_[708] - vX_[1257] * vX_[1104];
+ vX_[865] = 0 - vX_[1258] * vX_[705] - vX_[1262] * vX_[1108] - vX_[1264] * vX_[1189] - vX_[1285] * vX_[708] - vX_[1292] * vX_[1104] - vX_[1297] * vX_[1111];
+ vX_[1189] = 0 - vX_[1267] * vX_[705] - vX_[1269] * vX_[1108] - vX_[1271] * vX_[1189] - vX_[1305] * vX_[708] - vX_[1312] * vX_[1104] - vX_[1317] * vX_[1111];
+ vX_[708] = 0 - vX_[328] * vX_[708] - vX_[249] * vX_[1104];
+ vX_[1104] = vX_[251] * vX_[865] + vX_[253] * vX_[1189] + -0.35 * vX_[708] + (vX_[281] * vX_[1092]) / vX_[274];
+ vX_[1189] = vX_[254] * vX_[865] + vX_[251] * vX_[1189] + (vX_[262] * vX_[1092]) / vX_[274];
+ vX_[865] = vX_[297] * vX_[1104] + vX_[278] * vX_[1189] + 0.08 * vX_[708];
+ vX_[1108] = 0 - vX_[865];
+ vX_[841] = (vX_[274] * vX_[1092]) / vX_[274] + vX_[841] + vX_[1274] * vX_[958] + vX_[299] * vX_[872] + (vX_[360] * vX_[1108]) / vX_[324];
+ vX_[1189] = vX_[278] * vX_[1104] + vX_[250] * vX_[1189] + (vX_[319] * vX_[1108]) / vX_[324];
+ vX_[1104] = vX_[1229] * vX_[958] + vX_[698] * vX_[872] + (vX_[345] * vX_[1108]) / vX_[324];
+ vX_[708] = vX_[708] + (vX_[337] * vX_[1108]) / vX_[324];
+ vX_[872] = vX_[1319] * vX_[958] + vX_[250] * vX_[872] + (vX_[322] * vX_[1108]) / vX_[324];
+ vX_[958] = 0.5 * cos(vX_[1436]);
+ vX_[705] = vX_[1435] * vX_[958];
+ vX_[1436] = -0.5 * sin(vX_[1436]);
+ vX_[1111] = vX_[1441] * vX_[1436];
+ vX_[1089] = vX_[705] * vX_[1440] - vX_[1111] * vX_[1444];
+ vX_[961] = 2. * vX_[1089];
+ vX_[1111] = vX_[1111] * vX_[1440] + vX_[705] * vX_[1444];
+ vX_[705] = 2. * vX_[1111];
+ vX_[1436] = vX_[1435] * vX_[1436];
+ vX_[958] = vX_[1441] * vX_[958];
+ vX_[1441] = 2. * (vX_[1436] * vX_[1444] + vX_[958] * vX_[1440]);
+ vX_[958] = vX_[1436] * vX_[1440] - vX_[958] * vX_[1444];
+ vX_[958] = (0 - (vX_[1446] * vX_[1089] + vX_[961] * vX_[1445]) - (vX_[1448] * vX_[1111] + vX_[705] * vX_[1447])) * vX_[1455] + (vX_[1458] * vX_[1089] + vX_[1441] * vX_[1445] + vX_[1448] * vX_[958] + vX_[705] * vX_[1459]) * vX_[1466] + (vX_[1458] * vX_[1111] + vX_[1441] * vX_[1447] - (vX_[1446] * vX_[958] + vX_[961] * vX_[1459])) * vX_[1470];
+ vX_[1441] = ((- vX_[1474]) * 100. * vX_[958] * vX_[1472]) / vX_[1473];
+ vX_[705] = 0.5 * cos(vX_[1350]);
+ vX_[1111] = vX_[1349] * vX_[705];
+ vX_[1350] = -0.5 * sin(vX_[1350]);
+ vX_[961] = vX_[1355] * vX_[1350];
+ vX_[1089] = vX_[1111] * vX_[1354] - vX_[961] * vX_[1358];
+ vX_[1436] = 2. * vX_[1089];
+ vX_[1444] = vX_[1360] * vX_[1089] + vX_[1436] * vX_[1359];
+ vX_[961] = vX_[961] * vX_[1354] + vX_[1111] * vX_[1358];
+ vX_[1111] = 2. * vX_[961];
+ vX_[1440] = vX_[1363] * vX_[961] + vX_[1111] * vX_[1362];
+ vX_[1350] = vX_[1349] * vX_[1350];
+ vX_[705] = vX_[1355] * vX_[705];
+ vX_[1355] = vX_[1350] * vX_[1358] + vX_[705] * vX_[1354];
+ vX_[1349] = 2. * vX_[1355];
+ vX_[1089] = vX_[1395] * vX_[1089] + vX_[1349] * vX_[1359];
+ vX_[705] = vX_[1350] * vX_[1354] - vX_[705] * vX_[1358];
+ vX_[1111] = vX_[1363] * vX_[705] + vX_[1111] * vX_[1397];
+ vX_[1350] = vX_[1395] * vX_[961] + vX_[1349] * vX_[1362];
+ vX_[1358] = vX_[1360] * vX_[705] + vX_[1436] * vX_[1397];
+ vX_[958] = vX_[1433] * vX_[1441] + -1000. * ((0 - vX_[1444] - vX_[1440]) * vX_[1391] + (vX_[1089] + vX_[1111]) * vX_[1422] + (vX_[1350] - vX_[1358]) * vX_[1432]) * vX_[1474] + 5000. * -100. * vX_[958] * vX_[1471];
+ vX_[1354] = 0.5 * cos(vX_[1328]);
+ vX_[1435] = vX_[1327] * vX_[1354];
+ vX_[1328] = -0.5 * sin(vX_[1328]);
+ vX_[1083] = vX_[1333] * vX_[1328];
+ vX_[1198] = vX_[1435] * vX_[1336] - vX_[1083] * vX_[1332];
+ vX_[1328] = vX_[1327] * vX_[1328];
+ vX_[1354] = vX_[1333] * vX_[1354];
+ vX_[1333] = vX_[1328] * vX_[1332] + vX_[1354] * vX_[1336];
+ vX_[1327] = 2. * vX_[1333];
+ vX_[1195] = vX_[1338] * vX_[1198] + vX_[1327] * vX_[1341];
+ vX_[1354] = vX_[1328] * vX_[1336] - vX_[1354] * vX_[1332];
+ vX_[1083] = vX_[1083] * vX_[1336] + vX_[1435] * vX_[1332];
+ vX_[1435] = 2. * vX_[1083];
+ vX_[1336] = vX_[1344] * vX_[1354] + vX_[1435] * vX_[1345];
+ vX_[1355] = vX_[1395] * vX_[1355] + vX_[1349] * vX_[1394];
+ vX_[961] = vX_[1360] * vX_[961] + vX_[1436] * vX_[1362];
+ vX_[705] = vX_[1395] * vX_[705] + vX_[1349] * vX_[1397];
+ vX_[1111] = vX_[1494] * vX_[1441] + -1000. * ((vX_[1089] - vX_[1111]) * vX_[1391] + (0 - vX_[1355] - vX_[1440]) * vX_[1422] + (vX_[961] + vX_[705]) * vX_[1432]) * vX_[1474];
+ vX_[1333] = vX_[1338] * vX_[1333] + vX_[1327] * vX_[1337];
+ vX_[1435] = vX_[1344] * vX_[1083] + vX_[1435] * vX_[1343];
+ vX_[705] = vX_[1361] * vX_[1441] + -1000. * ((vX_[1350] + vX_[1358]) * vX_[1391] + (vX_[961] - vX_[705]) * vX_[1422] + (0 - vX_[1355] - vX_[1444]) * vX_[1432]) * vX_[1474];
+ vX_[961] = 2. * vX_[1198];
+ vX_[1355] = vX_[1480] * vX_[1083] + vX_[961] * vX_[1343];
+ vX_[1358] = vX_[1338] * vX_[1354] + vX_[1327] * vX_[1345];
+ vX_[1350] = vX_[1347] * vX_[958] + (vX_[1195] + vX_[1336]) * vX_[1487] + vX_[1490] * vX_[1111] + (0 - vX_[1333] - vX_[1435]) * vX_[1478] + vX_[1495] * vX_[705] + (vX_[1355] - vX_[1358]) * vX_[1476];
+ vX_[1083] = vX_[1338] * vX_[1083] + vX_[1327] * vX_[1343];
+ vX_[1354] = vX_[1480] * vX_[1354] + vX_[961] * vX_[1345];
+ vX_[961] = vX_[1480] * vX_[1198] + vX_[961] * vX_[1341];
+ vX_[1358] = vX_[1501] * vX_[958] + (vX_[1083] - vX_[1354]) * vX_[1487] + vX_[1475] * vX_[1111] + (vX_[1355] + vX_[1358]) * vX_[1478] + vX_[1488] * vX_[705] + (0 - vX_[1333] - vX_[961]) * vX_[1476];
+ vX_[1355] = vX_[1325] * vX_[1350] - vX_[1498] * vX_[1358];
+ vX_[961] = vX_[1356] * vX_[958] + (0 - vX_[961] - vX_[1435]) * vX_[1487] + vX_[1346] * vX_[1111] + (vX_[1195] - vX_[1336]) * vX_[1478] + vX_[1500] * vX_[705] + (vX_[1083] + vX_[1354]) * vX_[1476];
+ vX_[1354] = vX_[1504] * vX_[1358] - vX_[1325] * vX_[961];
+ vX_[1083] = 0 - vX_[1321] * vX_[1355] - vX_[369] * vX_[1354] - vX_[1348] * vX_[961] - vX_[1477] * vX_[1350] - vX_[1482] * vX_[1358];
+ vX_[705] = 0 - vX_[1083];
+ vX_[1435] = (0.1104774 * vX_[705]) / 0.026181 - vX_[1489] * vX_[961] - vX_[1507] * vX_[1350] - vX_[1508] * vX_[1358];
+ vX_[1111] = (-0.0004405 * vX_[705]) / 0.026181 - vX_[1511] * vX_[961] - vX_[1512] * vX_[1350] - vX_[1515] * vX_[1358];
+ vX_[1083] = (0.026181 * vX_[705]) / 0.026181 + vX_[1083] + vX_[1517] * vX_[1435] + vX_[377] * vX_[1111];
+ vX_[1336] = 0 - vX_[1083];
+ vX_[1195] = vX_[372] * vX_[1435] + vX_[374] * vX_[1111] + (vX_[393] * vX_[1336]) / vX_[395];
+ vX_[1111] = vX_[1520] * vX_[1435] + vX_[372] * vX_[1111] + (vX_[406] * vX_[1336]) / vX_[395];
+ vX_[1435] = vX_[1498] * vX_[961] - vX_[1504] * vX_[1350];
+ vX_[958] = 0 - vX_[1521] * vX_[1355] - vX_[1507] * vX_[1354] - vX_[1508] * vX_[1435] - vX_[1529] * vX_[961] - vX_[1536] * vX_[1350] - vX_[1541] * vX_[1358];
+ vX_[1435] = 0 - vX_[1510] * vX_[1355] - vX_[1512] * vX_[1354] - vX_[1514] * vX_[1435] - vX_[1550] * vX_[961] - vX_[1557] * vX_[1350] - vX_[1561] * vX_[1358];
+ vX_[961] = 0 - vX_[1326] * vX_[961] - vX_[369] * vX_[1350];
+ vX_[1350] = vX_[372] * vX_[958] + vX_[374] * vX_[1435] + -0.35 * vX_[961] + (vX_[402] * vX_[1336]) / vX_[395];
+ vX_[1435] = vX_[375] * vX_[958] + vX_[372] * vX_[1435] + (vX_[383] * vX_[1336]) / vX_[395];
+ vX_[958] = vX_[371] * vX_[1350] + vX_[398] * vX_[1435] + -0.08 * vX_[961];
+ vX_[1354] = 0 - vX_[958];
+ vX_[1083] = vX_[1275] * vX_[1195] + vX_[419] * vX_[1111] + -1 * (vX_[1083] + (vX_[395] * vX_[1336]) / vX_[395]) + (vX_[482] * vX_[1354]) / vX_[445];
+ vX_[1435] = vX_[399] * vX_[1350] + vX_[371] * vX_[1435] + (vX_[440] * vX_[1354]) / vX_[445];
+ vX_[1350] = vX_[371] * vX_[1195] + vX_[398] * vX_[1111] + (vX_[467] * vX_[1354]) / vX_[445];
+ vX_[961] = -1 * vX_[961] + (vX_[459] * vX_[1354]) / vX_[445];
+ vX_[1111] = vX_[1562] * vX_[1195] + vX_[371] * vX_[1111] + (vX_[443] * vX_[1354]) / vX_[445];
+ vX_[958] = ((vX_[92] * vX_[616]) / vX_[92] + vX_[1] + vX_[136] * vX_[10] + vX_[95] * vX_[701] + vX_[248] * vX_[6] + vX_[206] * vX_[620] + -1 * (vX_[1648] + (vX_[203] * vX_[868]) / vX_[203]) + (vX_[324] * vX_[1108]) / vX_[324] + vX_[865] + vX_[368] * vX_[708] + vX_[327] * vX_[872] + vX_[1573] * vX_[961] + vX_[448] * vX_[1111] + -1 * (vX_[958] + (vX_[445] * vX_[1354]) / vX_[445])) / vX_[583];
+ vX_[865] = (vX_[26] * vX_[1442] + vX_[96] * vX_[7] + vX_[97] * vX_[10] + vX_[1569] * vX_[701] + vX_[138] * vX_[589] + vX_[209] * vX_[952] + vX_[210] * vX_[6] + vX_[1570] * vX_[620] + vX_[249] * vX_[841] + vX_[328] * vX_[1189] + vX_[329] * vX_[708] + vX_[1571] * vX_[872] + vX_[370] * vX_[1083] + vX_[451] * vX_[1435] + vX_[452] * vX_[961] + vX_[1572] * vX_[1111] - vX_[1566] * vX_[958]) / vX_[580];
+ vX_[1435] = (vX_[96] * vX_[1442] + vX_[98] * vX_[7] + 0.207 * vX_[612] + vX_[99] * vX_[10] + vX_[834] * vX_[701] + vX_[208] * vX_[589] + vX_[138] * vX_[952] + 0.207 * vX_[864] + vX_[211] * vX_[6] + vX_[998] * vX_[620] + vX_[328] * vX_[841] + vX_[330] * vX_[1189] + 0.207 * vX_[1104] + vX_[331] * vX_[708] + vX_[1318] * vX_[872] + vX_[450] * vX_[1083] + vX_[370] * vX_[1435] + 0.207 * vX_[1350] + vX_[453] * vX_[961] + vX_[1481] * vX_[1111] - vX_[1568] * vX_[865] - vX_[490] * vX_[958]) / vX_[582];
+ vX_[1350] = (vX_[612] + -1 * vX_[864] + vX_[1104] + -1 * vX_[1350] - vX_[1610] * vX_[865] - vX_[1630] * vX_[958] - vX_[1627] * vX_[1435]) / vX_[1657];
+ vX_[1104] = (vX_[26] * vX_[10] + vX_[96] * vX_[701] + vX_[1615] * vX_[6] + vX_[1616] * vX_[620] + vX_[249] * vX_[708] + vX_[328] * vX_[872] + vX_[1617] * vX_[961] + vX_[1618] * vX_[1111] - vX_[1587] * vX_[865] - vX_[1611] * vX_[958] - vX_[1575] * vX_[1435] - vX_[1629] * vX_[1350]) / vX_[1654];
+ vX_[1111] = (vX_[96] * vX_[10] + vX_[1667] * vX_[701] + vX_[208] * vX_[6] + vX_[1668] * vX_[620] + vX_[328] * vX_[708] + vX_[1669] * vX_[872] + vX_[450] * vX_[961] + vX_[1670] * vX_[1111] - vX_[748] * vX_[865] - vX_[1626] * vX_[958] - vX_[484] * vX_[1435] - vX_[1664] * vX_[1350] - vX_[1584] * vX_[1104]) / vX_[1656];
+ vX_[1104] = vX_[1104] - vX_[1666] * vX_[1111];
+ vX_[1350] = vX_[1350] - vX_[1665] * vX_[1111] - vX_[1599] * vX_[1104];
+ vX_[1435] = vX_[1435] - vX_[1614] * vX_[1104] - vX_[1628] * vX_[1350] - vX_[1660] * vX_[1111];
+ jac[56] = - vX_[1435];
+ vX_[865] = vX_[865] - vX_[1619] * vX_[1350] - vX_[1565] * vX_[1435] - vX_[1613] * vX_[1104] - vX_[1659] * vX_[1111];
+ jac[54] = vX_[584] * vX_[1435] + vX_[1567] * vX_[865] + vX_[1593] * vX_[1350] + vX_[1612] * vX_[1104] + vX_[1658] * vX_[1111] - vX_[958];
+ jac[55] = - vX_[865];
+ vX_[1350] = - vX_[1350];
+ vX_[865] = -0.5 * sin(vX_[1542]);
+ vX_[1435] = vX_[996] * vX_[865];
+ vX_[1542] = 0.5 * cos(vX_[1542]);
+ vX_[958] = vX_[1522] * vX_[1542];
+ vX_[961] = vX_[1435] * vX_[1650] + vX_[958] * vX_[1033];
+ vX_[865] = vX_[1522] * vX_[865];
+ vX_[1542] = vX_[996] * vX_[1542];
+ vX_[996] = 2. * (vX_[865] * vX_[1033] + vX_[1542] * vX_[1650]);
+ vX_[1542] = vX_[865] * vX_[1650] - vX_[1542] * vX_[1033];
+ vX_[958] = vX_[958] * vX_[1650] - vX_[1435] * vX_[1033];
+ vX_[1435] = 2. * vX_[958];
+ jac[57] = vX_[1350] + -9.81 * (vX_[1644] * vX_[961] + vX_[996] * vX_[1662] - (vX_[362] * vX_[1542] + vX_[1435] * vX_[571]));
+ vX_[1104] = - vX_[1104];
+ vX_[1650] = 2. * vX_[961];
+ jac[58] = vX_[1104] + -9.81 * (vX_[1644] * vX_[958] + vX_[996] * vX_[1661] + vX_[130] * vX_[1542] + vX_[1650] * vX_[571]);
+ vX_[1111] = - vX_[1111];
+ jac[59] = vX_[1111] + -9.81 * (0 - (vX_[362] * vX_[958] + vX_[1435] * vX_[1661]) - (vX_[130] * vX_[961] + vX_[1650] * vX_[1662]));
+ vX_[1650] = -1 * jac[54];
+ vX_[1435] = vX_[450] * jac[56] + vX_[370] * jac[55];
+ vX_[958] = vX_[370] * jac[56] + vX_[451] * jac[55];
+ vX_[961] = -1 * vX_[1350];
+ vX_[1542] = 0.207 * jac[56] + vX_[961];
+ vX_[996] = vX_[1481] * jac[56] + vX_[1572] * jac[55] + vX_[448] * jac[54] + vX_[1670] * vX_[1111] + vX_[1618] * vX_[1104];
+ jac[60] = (vX_[1354] - vX_[445] * vX_[1650] - vX_[482] * vX_[1435] - vX_[440] * vX_[958] - vX_[467] * vX_[1542] - vX_[459] * (vX_[453] * jac[56] + vX_[452] * jac[55] + vX_[1573] * jac[54] + vX_[450] * vX_[1111] + vX_[1617] * vX_[1104]) - vX_[443] * vX_[996]) / vX_[445];
+ vX_[1354] = -1 * vX_[1435];
+ vX_[1033] = vX_[1650] + jac[60];
+ vX_[865] = vX_[371] * vX_[1542] + vX_[1562] * vX_[996] + vX_[1275] * vX_[1435];
+ vX_[996] = vX_[398] * vX_[1542] + vX_[371] * vX_[996] + vX_[419] * vX_[1435];
+ jac[61] = (vX_[1336] - vX_[395] * vX_[1354] - vX_[402] * (vX_[371] * vX_[1033] + vX_[399] * vX_[958]) - vX_[383] * (vX_[398] * vX_[1033] + vX_[371] * vX_[958]) - vX_[393] * vX_[865] - vX_[406] * vX_[996]) / vX_[395];
+ vX_[1354] = vX_[1354] + jac[61];
+ jac[62] = (vX_[705] - 0.1104774 * (vX_[372] * vX_[865] + vX_[1520] * vX_[996] + vX_[1517] * vX_[1354]) - -0.0004405 * (vX_[374] * vX_[865] + vX_[372] * vX_[996] + vX_[377] * vX_[1354]) - 0.026181 * vX_[1354]) / 0.026181;
+ vX_[1354] = vX_[328] * jac[56] + vX_[249] * jac[55];
+ vX_[996] = vX_[330] * jac[56] + vX_[328] * jac[55];
+ vX_[865] = 0.207 * jac[56] + vX_[1350];
+ vX_[705] = vX_[1318] * jac[56] + vX_[1571] * jac[55] + vX_[327] * jac[54] + vX_[1669] * vX_[1111] + vX_[328] * vX_[1104];
+ jac[63] = (vX_[1108] - vX_[324] * jac[54] - vX_[360] * vX_[1354] - vX_[319] * vX_[996] - vX_[345] * vX_[865] - vX_[337] * (vX_[331] * jac[56] + vX_[329] * jac[55] + vX_[368] * jac[54] + vX_[328] * vX_[1111] + vX_[249] * vX_[1104]) - vX_[322] * vX_[705]) / vX_[324];
+ vX_[1108] = jac[54] + jac[63];
+ vX_[1033] = vX_[1229] * vX_[865] + vX_[1319] * vX_[705] + vX_[1274] * vX_[1354];
+ vX_[705] = vX_[698] * vX_[865] + vX_[250] * vX_[705] + vX_[299] * vX_[1354];
+ jac[64] = (vX_[1092] - vX_[274] * vX_[1354] - vX_[281] * (vX_[297] * vX_[1108] + vX_[278] * vX_[996]) - vX_[262] * (vX_[278] * vX_[1108] + vX_[250] * vX_[996]) - vX_[272] * vX_[1033] - vX_[285] * vX_[705]) / vX_[274];
+ vX_[1354] = vX_[1354] + jac[64];
+ jac[65] = (vX_[869] - 0.1104774 * (vX_[251] * vX_[1033] + vX_[1276] * vX_[705] + vX_[1252] * vX_[1354]) - -0.0004405 * (vX_[253] * vX_[1033] + vX_[251] * vX_[705] + vX_[256] * vX_[1354]) - 0.026181 * vX_[1354]) / 0.026181;
+ vX_[1354] = vX_[208] * jac[56] + vX_[138] * jac[55];
+ vX_[705] = vX_[138] * jac[56] + vX_[209] * jac[55];
+ vX_[961] = 0.207 * jac[56] + vX_[961];
+ vX_[1033] = vX_[998] * jac[56] + vX_[1570] * jac[55] + vX_[206] * jac[54] + vX_[1668] * vX_[1111] + vX_[1616] * vX_[1104];
+ jac[66] = (vX_[868] - vX_[203] * vX_[1650] - vX_[240] * vX_[1354] - vX_[198] * vX_[705] - vX_[225] * vX_[961] - vX_[217] * (vX_[211] * jac[56] + vX_[210] * jac[55] + vX_[248] * jac[54] + vX_[208] * vX_[1111] + vX_[1615] * vX_[1104]) - vX_[201] * vX_[1033]) / vX_[203];
+ vX_[868] = -1 * vX_[1354];
+ vX_[1650] = vX_[1650] + jac[66];
+ vX_[869] = vX_[139] * vX_[961] + vX_[1079] * vX_[1033] + vX_[790] * vX_[1354];
+ vX_[1033] = vX_[159] * vX_[961] + vX_[139] * vX_[1033] + vX_[177] * vX_[1354];
+ jac[67] = (vX_[850] - vX_[156] * vX_[868] - 2.1e-05 * (vX_[139] * vX_[1650] + vX_[160] * vX_[705]) - -0.000102 * (vX_[159] * vX_[1650] + vX_[139] * vX_[705]) - vX_[154] * vX_[869] - vX_[164] * vX_[1033]) / vX_[156];
+ vX_[868] = vX_[868] + jac[67];
+ jac[68] = (vX_[617] - 0.110125 * (vX_[142] * vX_[869] + vX_[1037] * vX_[1033] + vX_[1034] * vX_[868]) - 0.000881 * (vX_[140] * vX_[869] + vX_[142] * vX_[1033] + vX_[141] * vX_[868]) - 0.026181 * vX_[868]) / 0.026181;
+ vX_[868] = vX_[96] * jac[56] + vX_[26] * jac[55];
+ vX_[1033] = vX_[98] * jac[56] + vX_[96] * jac[55];
+ vX_[1350] = 0.207 * jac[56] + vX_[1350];
+ vX_[869] = vX_[834] * jac[56] + vX_[1569] * jac[55] + vX_[95] * jac[54] + vX_[1667] * vX_[1111] + vX_[96] * vX_[1104];
+ jac[69] = (vX_[616] - vX_[92] * jac[54] - vX_[128] * vX_[868] - vX_[87] * vX_[1033] - vX_[113] * vX_[1350] - vX_[105] * (vX_[99] * jac[56] + vX_[97] * jac[55] + vX_[136] * jac[54] + vX_[96] * vX_[1111] + vX_[26] * vX_[1104]) - vX_[90] * vX_[869]) / vX_[92];
+ vX_[1111] = jac[54] + jac[69];
+ vX_[1104] = vX_[746] * vX_[1350] + vX_[835] * vX_[869] + vX_[789] * vX_[868];
+ vX_[869] = vX_[613] * vX_[1350] + vX_[13] * vX_[869] + vX_[67] * vX_[868];
+ jac[70] = (vX_[598] - vX_[42] * vX_[868] - vX_[49] * (vX_[65] * vX_[1111] + vX_[46] * vX_[1033]) - vX_[30] * (vX_[46] * vX_[1111] + vX_[13] * vX_[1033]) - vX_[40] * vX_[1104] - vX_[53] * vX_[869]) / vX_[42];
+ vX_[868] = vX_[868] + jac[70];
+ jac[71] = (vX_[2] - 0.1104774 * (vX_[15] * vX_[1104] + vX_[791] * vX_[869] + vX_[766] * vX_[868]) - 0.0004405 * (vX_[23] * vX_[1104] + vX_[15] * vX_[869] + vX_[25] * vX_[868]) - 0.026181 * vX_[868]) / 0.026181;
+ vX_[868] = -1 * sin(x_in[2]);
+ vX_[869] = cos(x_in[2]);
+ jac[72] = vX_[1188] * vX_[868] * x_in[18] + vX_[788] * vX_[869] * x_in[19];
+ jac[73] = vX_[869] * x_in[18] + vX_[868] * x_in[19];
+ jac[74] = vX_[1188] * vX_[869] * vX_[959] * x_in[19] + vX_[788] * vX_[868] * vX_[959] * x_in[18];
+ vX_[869] = -0.5 * sin(vX_[5]);
+ vX_[5] = 0.5 * cos(vX_[5]);
+ vX_[868] = vX_[3] * vX_[869] + vX_[8] * vX_[5];
+ vX_[788] = vX_[4] * vX_[5] + vX_[9] * vX_[869];
+ vX_[959] = 2. * vX_[788];
+ vX_[1188] = vX_[12] * vX_[868] + vX_[959] * vX_[19];
+ vX_[9] = vX_[4] * vX_[869] - vX_[9] * vX_[5];
+ vX_[5] = vX_[8] * vX_[869] - vX_[3] * vX_[5];
+ vX_[869] = 2. * vX_[5];
+ vX_[8] = vX_[22] * vX_[9] + vX_[869] * vX_[0];
+ vX_[3] = vX_[22] * vX_[868] + vX_[869] * vX_[19];
+ vX_[4] = vX_[12] * vX_[9] + vX_[959] * vX_[0];
+ vX_[788] = vX_[12] * vX_[788] + vX_[959] * vX_[11];
+ vX_[869] = vX_[22] * vX_[5] + vX_[869] * vX_[21];
+ jac[75] = (vX_[1188] + vX_[8]) * x_in[23] + (vX_[3] - vX_[4]) * x_in[22] + (0 - vX_[788] - vX_[869]) * x_in[21];
+ vX_[5] = vX_[12] * vX_[5] + vX_[959] * vX_[21];
+ vX_[959] = 2. * vX_[868];
+ vX_[9] = vX_[18] * vX_[9] + vX_[959] * vX_[0];
+ vX_[959] = vX_[18] * vX_[868] + vX_[959] * vX_[19];
+ jac[76] = (vX_[5] - vX_[9]) * x_in[23] + (0 - vX_[788] - vX_[959]) * x_in[22] + (vX_[3] + vX_[4]) * x_in[21];
+ jac[77] = (0 - vX_[869] - vX_[959]) * x_in[23] + (vX_[5] + vX_[9]) * x_in[22] + (vX_[1188] - vX_[8]) * x_in[21];
+ vX_[959] = -0.5 * sin(vX_[703]);
+ vX_[703] = 0.5 * cos(vX_[703]);
+ vX_[9] = vX_[702] * vX_[959] - vX_[707] * vX_[703];
+ vX_[5] = 2. * vX_[9];
+ vX_[707] = vX_[707] * vX_[959] + vX_[702] * vX_[703];
+ vX_[702] = 2. * vX_[707];
+ vX_[869] = 2. * (vX_[721] * vX_[703] + vX_[722] * vX_[959]);
+ vX_[703] = vX_[721] * vX_[959] - vX_[722] * vX_[703];
+ vX_[703] = (0 - (vX_[710] * vX_[9] + vX_[5] * vX_[709]) - (vX_[712] * vX_[707] + vX_[702] * vX_[711])) * vX_[720] + (vX_[723] * vX_[9] + vX_[869] * vX_[709] + vX_[712] * vX_[703] + vX_[702] * vX_[724]) * vX_[731] + (vX_[723] * vX_[707] + vX_[869] * vX_[711] - (vX_[710] * vX_[703] + vX_[5] * vX_[724])) * vX_[735];
+ vX_[869] = ((- vX_[739]) * 100. * vX_[703] * vX_[737]) / vX_[738];
+ vX_[702] = -0.5 * sin(vX_[615]);
+ vX_[615] = 0.5 * cos(vX_[615]);
+ vX_[707] = vX_[614] * vX_[702] - vX_[619] * vX_[615];
+ vX_[5] = 2. * vX_[707];
+ vX_[9] = vX_[622] * vX_[707] + vX_[5] * vX_[621];
+ vX_[619] = vX_[619] * vX_[702] + vX_[614] * vX_[615];
+ vX_[614] = 2. * vX_[619];
+ vX_[735] = vX_[625] * vX_[619] + vX_[614] * vX_[624];
+ vX_[731] = vX_[655] * vX_[615] + vX_[656] * vX_[702];
+ vX_[724] = 2. * vX_[731];
+ vX_[707] = vX_[658] * vX_[707] + vX_[724] * vX_[621];
+ vX_[615] = vX_[655] * vX_[702] - vX_[656] * vX_[615];
+ vX_[614] = vX_[625] * vX_[615] + vX_[614] * vX_[660];
+ vX_[625] = vX_[658] * vX_[619] + vX_[724] * vX_[624];
+ vX_[702] = vX_[622] * vX_[615] + vX_[5] * vX_[660];
+ vX_[703] = vX_[697] * vX_[869] + -1000. * ((0 - vX_[9] - vX_[735]) * vX_[654] + (vX_[707] + vX_[614]) * vX_[686] + (vX_[625] - vX_[702]) * vX_[696]) * vX_[739] + 5000. * -100. * vX_[703] * vX_[736];
+ vX_[656] = -0.5 * sin(vX_[593]);
+ vX_[593] = 0.5 * cos(vX_[593]);
+ vX_[655] = vX_[601] * vX_[656] - vX_[602] * vX_[593];
+ vX_[621] = vX_[592] * vX_[593] + vX_[597] * vX_[656];
+ vX_[723] = 2. * vX_[621];
+ vX_[720] = vX_[600] * vX_[655] + vX_[723] * vX_[603];
+ vX_[597] = vX_[592] * vX_[656] - vX_[597] * vX_[593];
+ vX_[593] = vX_[602] * vX_[656] + vX_[601] * vX_[593];
+ vX_[656] = 2. * vX_[593];
+ vX_[602] = vX_[606] * vX_[597] + vX_[656] * vX_[607];
+ vX_[731] = vX_[658] * vX_[731] + vX_[724] * vX_[657];
+ vX_[619] = vX_[622] * vX_[619] + vX_[5] * vX_[624];
+ vX_[615] = vX_[658] * vX_[615] + vX_[724] * vX_[660];
+ vX_[614] = vX_[761] * vX_[869] + -1000. * ((vX_[707] - vX_[614]) * vX_[654] + (0 - vX_[731] - vX_[735]) * vX_[686] + (vX_[619] + vX_[615]) * vX_[696]) * vX_[739];
+ vX_[621] = vX_[600] * vX_[621] + vX_[723] * vX_[599];
+ vX_[656] = vX_[606] * vX_[593] + vX_[656] * vX_[605];
+ vX_[615] = vX_[623] * vX_[869] + -1000. * ((vX_[625] + vX_[702]) * vX_[654] + (vX_[619] - vX_[615]) * vX_[686] + (0 - vX_[731] - vX_[9]) * vX_[696]) * vX_[739];
+ vX_[619] = 2. * vX_[655];
+ vX_[731] = vX_[747] * vX_[593] + vX_[619] * vX_[605];
+ vX_[702] = vX_[600] * vX_[597] + vX_[723] * vX_[607];
+ vX_[625] = vX_[609] * vX_[703] + (vX_[720] + vX_[602]) * vX_[754] + vX_[757] * vX_[614] + (0 - vX_[621] - vX_[656]) * vX_[743] + vX_[762] * vX_[615] + (vX_[731] - vX_[702]) * vX_[741];
+ vX_[593] = vX_[600] * vX_[593] + vX_[723] * vX_[605];
+ vX_[597] = vX_[747] * vX_[597] + vX_[619] * vX_[607];
+ vX_[619] = vX_[747] * vX_[655] + vX_[619] * vX_[603];
+ vX_[702] = vX_[768] * vX_[703] + (vX_[593] - vX_[597]) * vX_[754] + vX_[706] * vX_[614] + (vX_[731] + vX_[702]) * vX_[743] + vX_[755] * vX_[615] + (0 - vX_[621] - vX_[619]) * vX_[741];
+ vX_[731] = vX_[587] * vX_[625] - vX_[765] * vX_[702];
+ vX_[619] = vX_[618] * vX_[703] + (0 - vX_[619] - vX_[656]) * vX_[754] + vX_[608] * vX_[614] + (vX_[720] - vX_[602]) * vX_[743] + vX_[767] * vX_[615] + (vX_[593] + vX_[597]) * vX_[741];
+ vX_[597] = vX_[771] * vX_[702] - vX_[587] * vX_[619];
+ vX_[593] = 0 - vX_[96] * vX_[731] - vX_[26] * vX_[597] - vX_[610] * vX_[619] - vX_[742] * vX_[625] - vX_[749] * vX_[702];
+ vX_[615] = 0 - vX_[593];
+ vX_[656] = (0.1104774 * vX_[615]) / 0.026181 - vX_[772] * vX_[619] - vX_[777] * vX_[625] - vX_[778] * vX_[702];
+ vX_[614] = (0.0004405 * vX_[615]) / 0.026181 - vX_[781] * vX_[619] - vX_[783] * vX_[625] - vX_[786] * vX_[702];
+ vX_[593] = (0.026181 * vX_[615]) / 0.026181 + vX_[593] + vX_[766] * vX_[656] + vX_[25] * vX_[614];
+ vX_[602] = 0 - vX_[593];
+ vX_[720] = vX_[15] * vX_[656] + vX_[23] * vX_[614] + (vX_[40] * vX_[602]) / vX_[42];
+ vX_[614] = vX_[791] * vX_[656] + vX_[15] * vX_[614] + (vX_[53] * vX_[602]) / vX_[42];
+ vX_[656] = vX_[765] * vX_[619] - vX_[771] * vX_[625];
+ vX_[703] = 0 - vX_[772] * vX_[731] - vX_[776] * vX_[597] - vX_[778] * vX_[656] - vX_[800] * vX_[619] - vX_[807] * vX_[625] - vX_[812] * vX_[702];
+ vX_[656] = 0 - vX_[780] * vX_[731] - vX_[783] * vX_[597] - vX_[785] * vX_[656] - vX_[821] * vX_[619] - vX_[828] * vX_[625] - vX_[833] * vX_[702];
+ vX_[619] = 0 - vX_[96] * vX_[619] - vX_[26] * vX_[625];
+ vX_[625] = vX_[15] * vX_[703] + vX_[23] * vX_[656] + -0.35 * vX_[619] + (vX_[49] * vX_[602]) / vX_[42];
+ vX_[656] = vX_[20] * vX_[703] + vX_[15] * vX_[656] + (vX_[30] * vX_[602]) / vX_[42];
+ vX_[703] = vX_[65] * vX_[625] + vX_[46] * vX_[656] + 0.08 * vX_[619];
+ vX_[597] = 0 - vX_[703];
+ vX_[593] = (vX_[42] * vX_[602]) / vX_[42] + vX_[593] + vX_[789] * vX_[720] + vX_[67] * vX_[614] + (vX_[128] * vX_[597]) / vX_[92];
+ vX_[656] = vX_[46] * vX_[625] + vX_[13] * vX_[656] + (vX_[87] * vX_[597]) / vX_[92];
+ vX_[625] = vX_[746] * vX_[720] + vX_[613] * vX_[614] + (vX_[113] * vX_[597]) / vX_[92];
+ vX_[619] = vX_[619] + (vX_[105] * vX_[597]) / vX_[92];
+ vX_[614] = vX_[835] * vX_[720] + vX_[13] * vX_[614] + (vX_[90] * vX_[597]) / vX_[92];
+ vX_[720] = -0.5 * sin(vX_[956]);
+ vX_[956] = 0.5 * cos(vX_[956]);
+ vX_[731] = vX_[955] * vX_[720] - vX_[960] * vX_[956];
+ vX_[702] = 2. * vX_[731];
+ vX_[960] = vX_[960] * vX_[720] + vX_[955] * vX_[956];
+ vX_[955] = 2. * vX_[960];
+ vX_[621] = 2. * (vX_[974] * vX_[956] + vX_[975] * vX_[720]);
+ vX_[956] = vX_[974] * vX_[720] - vX_[975] * vX_[956];
+ vX_[956] = (0 - (vX_[963] * vX_[731] + vX_[702] * vX_[962]) - (vX_[965] * vX_[960] + vX_[955] * vX_[964])) * vX_[973] + (vX_[976] * vX_[731] + vX_[621] * vX_[962] + vX_[965] * vX_[956] + vX_[955] * vX_[977]) * vX_[892] + (vX_[976] * vX_[960] + vX_[621] * vX_[964] - (vX_[963] * vX_[956] + vX_[702] * vX_[977])) * vX_[987];
+ vX_[621] = ((- vX_[991]) * 100. * vX_[956] * vX_[989]) / vX_[990];
+ vX_[955] = -0.5 * sin(vX_[867]);
+ vX_[867] = 0.5 * cos(vX_[867]);
+ vX_[960] = vX_[866] * vX_[955] - vX_[871] * vX_[867];
+ vX_[702] = 2. * vX_[960];
+ vX_[731] = vX_[874] * vX_[960] + vX_[702] * vX_[873];
+ vX_[871] = vX_[871] * vX_[955] + vX_[866] * vX_[867];
+ vX_[866] = 2. * vX_[871];
+ vX_[987] = vX_[877] * vX_[871] + vX_[866] * vX_[876];
+ vX_[892] = vX_[909] * vX_[867] + vX_[910] * vX_[955];
+ vX_[977] = 2. * vX_[892];
+ vX_[960] = vX_[912] * vX_[960] + vX_[977] * vX_[873];
+ vX_[867] = vX_[909] * vX_[955] - vX_[910] * vX_[867];
+ vX_[866] = vX_[877] * vX_[867] + vX_[866] * vX_[914];
+ vX_[877] = vX_[912] * vX_[871] + vX_[977] * vX_[876];
+ vX_[955] = vX_[874] * vX_[867] + vX_[702] * vX_[914];
+ vX_[956] = vX_[950] * vX_[621] + -1000. * ((0 - vX_[731] - vX_[987]) * vX_[908] + (vX_[960] + vX_[866]) * vX_[939] + (vX_[877] - vX_[955]) * vX_[949]) * vX_[991] + 5000. * -100. * vX_[956] * vX_[988];
+ vX_[910] = -0.5 * sin(vX_[845]);
+ vX_[845] = 0.5 * cos(vX_[845]);
+ vX_[909] = vX_[853] * vX_[910] - vX_[854] * vX_[845];
+ vX_[873] = vX_[844] * vX_[845] + vX_[849] * vX_[910];
+ vX_[976] = 2. * vX_[873];
+ vX_[973] = vX_[852] * vX_[909] + vX_[976] * vX_[855];
+ vX_[849] = vX_[844] * vX_[910] - vX_[849] * vX_[845];
+ vX_[845] = vX_[854] * vX_[910] + vX_[853] * vX_[845];
+ vX_[910] = 2. * vX_[845];
+ vX_[854] = vX_[858] * vX_[849] + vX_[910] * vX_[859];
+ vX_[892] = vX_[912] * vX_[892] + vX_[977] * vX_[911];
+ vX_[871] = vX_[874] * vX_[871] + vX_[702] * vX_[876];
+ vX_[867] = vX_[912] * vX_[867] + vX_[977] * vX_[914];
+ vX_[866] = vX_[1011] * vX_[621] + -1000. * ((vX_[960] - vX_[866]) * vX_[908] + (0 - vX_[892] - vX_[987]) * vX_[939] + (vX_[871] + vX_[867]) * vX_[949]) * vX_[991];
+ vX_[873] = vX_[852] * vX_[873] + vX_[976] * vX_[851];
+ vX_[910] = vX_[858] * vX_[845] + vX_[910] * vX_[857];
+ vX_[867] = vX_[875] * vX_[621] + -1000. * ((vX_[877] + vX_[955]) * vX_[908] + (vX_[871] - vX_[867]) * vX_[939] + (0 - vX_[892] - vX_[731]) * vX_[949]) * vX_[991];
+ vX_[871] = 2. * vX_[909];
+ vX_[892] = vX_[997] * vX_[845] + vX_[871] * vX_[857];
+ vX_[955] = vX_[852] * vX_[849] + vX_[976] * vX_[859];
+ vX_[877] = vX_[861] * vX_[956] + (vX_[973] + vX_[854]) * vX_[1004] + vX_[1007] * vX_[866] + (0 - vX_[873] - vX_[910]) * vX_[995] + vX_[1012] * vX_[867] + (vX_[892] - vX_[955]) * vX_[993];
+ vX_[845] = vX_[852] * vX_[845] + vX_[976] * vX_[857];
+ vX_[849] = vX_[997] * vX_[849] + vX_[871] * vX_[859];
+ vX_[871] = vX_[997] * vX_[909] + vX_[871] * vX_[855];
+ vX_[955] = vX_[1018] * vX_[956] + (vX_[845] - vX_[849]) * vX_[1004] + vX_[992] * vX_[866] + (vX_[892] + vX_[955]) * vX_[995] + vX_[1005] * vX_[867] + (0 - vX_[873] - vX_[871]) * vX_[993];
+ vX_[892] = vX_[839] * vX_[877] - vX_[1015] * vX_[955];
+ vX_[871] = vX_[870] * vX_[956] + (0 - vX_[871] - vX_[910]) * vX_[1004] + vX_[860] * vX_[866] + (vX_[973] - vX_[854]) * vX_[995] + vX_[1017] * vX_[867] + (vX_[845] + vX_[849]) * vX_[993];
+ vX_[849] = vX_[1021] * vX_[955] - vX_[839] * vX_[871];
+ vX_[845] = 0 - vX_[836] * vX_[892] - vX_[137] * vX_[849] - vX_[862] * vX_[871] - vX_[994] * vX_[877] - vX_[999] * vX_[955];
+ vX_[867] = 0 - vX_[845];
+ vX_[910] = (0.110125 * vX_[867]) / 0.026181 - vX_[1006] * vX_[871] - vX_[1025] * vX_[877] - vX_[1026] * vX_[955];
+ vX_[866] = (0.000881 * vX_[867]) / 0.026181 - vX_[1028] * vX_[871] - vX_[1030] * vX_[877] - vX_[1032] * vX_[955];
+ vX_[845] = (0.026181 * vX_[867]) / 0.026181 + vX_[845] + vX_[1034] * vX_[910] + vX_[141] * vX_[866];
+ vX_[854] = 0 - vX_[845];
+ vX_[973] = vX_[142] * vX_[910] + vX_[140] * vX_[866] + (vX_[154] * vX_[854]) / vX_[156];
+ vX_[866] = vX_[1037] * vX_[910] + vX_[142] * vX_[866] + (vX_[164] * vX_[854]) / vX_[156];
+ vX_[910] = vX_[1015] * vX_[871] - vX_[1021] * vX_[877];
+ vX_[956] = 0 - vX_[1006] * vX_[892] - vX_[1024] * vX_[849] - vX_[1026] * vX_[910] - vX_[1045] * vX_[871] - vX_[1052] * vX_[877] - vX_[1057] * vX_[955];
+ vX_[910] = 0 - vX_[1028] * vX_[892] - vX_[1029] * vX_[849] - vX_[1060] * vX_[910] - vX_[1067] * vX_[871] - vX_[1074] * vX_[877] - vX_[1078] * vX_[955];
+ vX_[871] = 0 - vX_[840] * vX_[871] - vX_[137] * vX_[877];
+ vX_[877] = vX_[142] * vX_[956] + vX_[140] * vX_[910] + -0.35 * vX_[871] + (2.1e-05 * vX_[854]) / vX_[156];
+ vX_[910] = vX_[152] * vX_[956] + vX_[142] * vX_[910] + (-0.000102 * vX_[854]) / vX_[156];
+ vX_[956] = vX_[139] * vX_[877] + vX_[159] * vX_[910] + -0.08 * vX_[871];
+ vX_[849] = 0 - vX_[956];
+ vX_[845] = vX_[790] * vX_[973] + vX_[177] * vX_[866] + -1 * (vX_[845] + (vX_[156] * vX_[854]) / vX_[156]) + (vX_[240] * vX_[849]) / vX_[203];
+ vX_[910] = vX_[160] * vX_[877] + vX_[139] * vX_[910] + (vX_[198] * vX_[849]) / vX_[203];
+ vX_[877] = vX_[139] * vX_[973] + vX_[159] * vX_[866] + (vX_[225] * vX_[849]) / vX_[203];
+ vX_[871] = -1 * vX_[871] + (vX_[217] * vX_[849]) / vX_[203];
+ vX_[866] = vX_[1079] * vX_[973] + vX_[139] * vX_[866] + (vX_[201] * vX_[849]) / vX_[203];
+ vX_[973] = -0.5 * sin(vX_[1193]);
+ vX_[1193] = 0.5 * cos(vX_[1193]);
+ vX_[892] = vX_[1192] * vX_[973] - vX_[1197] * vX_[1193];
+ vX_[955] = 2. * vX_[892];
+ vX_[1197] = vX_[1197] * vX_[973] + vX_[1192] * vX_[1193];
+ vX_[1192] = 2. * vX_[1197];
+ vX_[873] = 2. * (vX_[1210] * vX_[1193] + vX_[1211] * vX_[973]);
+ vX_[1193] = vX_[1210] * vX_[973] - vX_[1211] * vX_[1193];
+ vX_[1193] = (0 - (vX_[1200] * vX_[892] + vX_[955] * vX_[1199]) - (vX_[1202] * vX_[1197] + vX_[1192] * vX_[1201])) * vX_[1209] + (vX_[1212] * vX_[892] + vX_[873] * vX_[1199] + vX_[1202] * vX_[1193] + vX_[1192] * vX_[1213]) * vX_[1220] + (vX_[1212] * vX_[1197] + vX_[873] * vX_[1201] - (vX_[1200] * vX_[1193] + vX_[955] * vX_[1213])) * vX_[1224];
+ vX_[873] = ((- vX_[1228]) * 100. * vX_[1193] * vX_[1226]) / vX_[1227];
+ vX_[1192] = -0.5 * sin(vX_[1107]);
+ vX_[1107] = 0.5 * cos(vX_[1107]);
+ vX_[1197] = vX_[1106] * vX_[1192] - vX_[1110] * vX_[1107];
+ vX_[955] = 2. * vX_[1197];
+ vX_[892] = vX_[1113] * vX_[1197] + vX_[955] * vX_[1112];
+ vX_[1110] = vX_[1110] * vX_[1192] + vX_[1106] * vX_[1107];
+ vX_[1106] = 2. * vX_[1110];
+ vX_[1224] = vX_[1116] * vX_[1110] + vX_[1106] * vX_[1115];
+ vX_[1220] = vX_[1146] * vX_[1107] + vX_[1147] * vX_[1192];
+ vX_[1213] = 2. * vX_[1220];
+ vX_[1197] = vX_[1149] * vX_[1197] + vX_[1213] * vX_[1112];
+ vX_[1107] = vX_[1146] * vX_[1192] - vX_[1147] * vX_[1107];
+ vX_[1106] = vX_[1116] * vX_[1107] + vX_[1106] * vX_[1151];
+ vX_[1116] = vX_[1149] * vX_[1110] + vX_[1213] * vX_[1115];
+ vX_[1192] = vX_[1113] * vX_[1107] + vX_[955] * vX_[1151];
+ vX_[1193] = vX_[1187] * vX_[873] + -1000. * ((0 - vX_[892] - vX_[1224]) * vX_[1145] + (vX_[1197] + vX_[1106]) * vX_[1176] + (vX_[1116] - vX_[1192]) * vX_[1186]) * vX_[1228] + 5000. * -100. * vX_[1193] * vX_[1225];
+ vX_[1147] = -0.5 * sin(vX_[1087]);
+ vX_[1087] = 0.5 * cos(vX_[1087]);
+ vX_[1146] = vX_[1095] * vX_[1147] - vX_[1096] * vX_[1087];
+ vX_[1112] = vX_[1086] * vX_[1087] + vX_[1091] * vX_[1147];
+ vX_[1212] = 2. * vX_[1112];
+ vX_[1209] = vX_[1094] * vX_[1146] + vX_[1212] * vX_[1097];
+ vX_[1091] = vX_[1086] * vX_[1147] - vX_[1091] * vX_[1087];
+ vX_[1087] = vX_[1096] * vX_[1147] + vX_[1095] * vX_[1087];
+ vX_[1147] = 2. * vX_[1087];
+ vX_[1096] = vX_[1100] * vX_[1091] + vX_[1147] * vX_[1101];
+ vX_[1220] = vX_[1149] * vX_[1220] + vX_[1213] * vX_[1148];
+ vX_[1110] = vX_[1113] * vX_[1110] + vX_[955] * vX_[1115];
+ vX_[1107] = vX_[1149] * vX_[1107] + vX_[1213] * vX_[1151];
+ vX_[1106] = vX_[1247] * vX_[873] + -1000. * ((vX_[1197] - vX_[1106]) * vX_[1145] + (0 - vX_[1220] - vX_[1224]) * vX_[1176] + (vX_[1110] + vX_[1107]) * vX_[1186]) * vX_[1228];
+ vX_[1112] = vX_[1094] * vX_[1112] + vX_[1212] * vX_[1093];
+ vX_[1147] = vX_[1100] * vX_[1087] + vX_[1147] * vX_[1099];
+ vX_[1107] = vX_[1114] * vX_[873] + -1000. * ((vX_[1116] + vX_[1192]) * vX_[1145] + (vX_[1110] - vX_[1107]) * vX_[1176] + (0 - vX_[1220] - vX_[892]) * vX_[1186]) * vX_[1228];
+ vX_[1110] = 2. * vX_[1146];
+ vX_[1220] = vX_[1196] * vX_[1087] + vX_[1110] * vX_[1099];
+ vX_[1192] = vX_[1094] * vX_[1091] + vX_[1212] * vX_[1101];
+ vX_[1116] = vX_[1103] * vX_[1193] + (vX_[1209] + vX_[1096]) * vX_[1240] + vX_[1243] * vX_[1106] + (0 - vX_[1112] - vX_[1147]) * vX_[1233] + vX_[1248] * vX_[1107] + (vX_[1220] - vX_[1192]) * vX_[1109];
+ vX_[1087] = vX_[1094] * vX_[1087] + vX_[1212] * vX_[1099];
+ vX_[1091] = vX_[1196] * vX_[1091] + vX_[1110] * vX_[1101];
+ vX_[1110] = vX_[1196] * vX_[1146] + vX_[1110] * vX_[1097];
+ vX_[1192] = vX_[1254] * vX_[1193] + (vX_[1087] - vX_[1091]) * vX_[1240] + vX_[1232] * vX_[1106] + (vX_[1220] + vX_[1192]) * vX_[1233] + vX_[1241] * vX_[1107] + (0 - vX_[1112] - vX_[1110]) * vX_[1109];
+ vX_[1220] = vX_[1081] * vX_[1116] - vX_[1251] * vX_[1192];
+ vX_[1110] = vX_[740] * vX_[1193] + (0 - vX_[1110] - vX_[1147]) * vX_[1240] + vX_[1102] * vX_[1106] + (vX_[1209] - vX_[1096]) * vX_[1233] + vX_[1253] * vX_[1107] + (vX_[1087] + vX_[1091]) * vX_[1109];
+ vX_[1091] = vX_[1257] * vX_[1192] - vX_[1081] * vX_[1110];
+ vX_[1087] = 0 - vX_[328] * vX_[1220] - vX_[249] * vX_[1091] - vX_[1105] * vX_[1110] - vX_[1230] * vX_[1116] - vX_[1235] * vX_[1192];
+ vX_[1107] = 0 - vX_[1087];
+ vX_[1147] = (0.1104774 * vX_[1107]) / 0.026181 - vX_[1258] * vX_[1110] - vX_[1263] * vX_[1116] - vX_[1265] * vX_[1192];
+ vX_[1106] = (-0.0004405 * vX_[1107]) / 0.026181 - vX_[1267] * vX_[1110] - vX_[1269] * vX_[1116] - vX_[1271] * vX_[1192];
+ vX_[1087] = (0.026181 * vX_[1107]) / 0.026181 + vX_[1087] + vX_[1252] * vX_[1147] + vX_[256] * vX_[1106];
+ vX_[1096] = 0 - vX_[1087];
+ vX_[1209] = vX_[251] * vX_[1147] + vX_[253] * vX_[1106] + (vX_[272] * vX_[1096]) / vX_[274];
+ vX_[1106] = vX_[1276] * vX_[1147] + vX_[251] * vX_[1106] + (vX_[285] * vX_[1096]) / vX_[274];
+ vX_[1147] = vX_[1251] * vX_[1110] - vX_[1257] * vX_[1116];
+ vX_[1193] = 0 - vX_[1258] * vX_[1220] - vX_[1262] * vX_[1091] - vX_[1264] * vX_[1147] - vX_[1285] * vX_[1110] - vX_[1292] * vX_[1116] - vX_[1297] * vX_[1192];
+ vX_[1147] = 0 - vX_[1267] * vX_[1220] - vX_[1269] * vX_[1091] - vX_[1271] * vX_[1147] - vX_[1305] * vX_[1110] - vX_[1312] * vX_[1116] - vX_[1317] * vX_[1192];
+ vX_[1110] = 0 - vX_[328] * vX_[1110] - vX_[249] * vX_[1116];
+ vX_[1116] = vX_[251] * vX_[1193] + vX_[253] * vX_[1147] + -0.35 * vX_[1110] + (vX_[281] * vX_[1096]) / vX_[274];
+ vX_[1147] = vX_[254] * vX_[1193] + vX_[251] * vX_[1147] + (vX_[262] * vX_[1096]) / vX_[274];
+ vX_[1193] = vX_[297] * vX_[1116] + vX_[278] * vX_[1147] + 0.08 * vX_[1110];
+ vX_[1091] = 0 - vX_[1193];
+ vX_[1087] = (vX_[274] * vX_[1096]) / vX_[274] + vX_[1087] + vX_[1274] * vX_[1209] + vX_[299] * vX_[1106] + (vX_[360] * vX_[1091]) / vX_[324];
+ vX_[1147] = vX_[278] * vX_[1116] + vX_[250] * vX_[1147] + (vX_[319] * vX_[1091]) / vX_[324];
+ vX_[1116] = vX_[1229] * vX_[1209] + vX_[698] * vX_[1106] + (vX_[345] * vX_[1091]) / vX_[324];
+ vX_[1110] = vX_[1110] + (vX_[337] * vX_[1091]) / vX_[324];
+ vX_[1106] = vX_[1319] * vX_[1209] + vX_[250] * vX_[1106] + (vX_[322] * vX_[1091]) / vX_[324];
+ vX_[1209] = -0.5 * sin(vX_[1439]);
+ vX_[1439] = 0.5 * cos(vX_[1439]);
+ vX_[1220] = vX_[1438] * vX_[1209] - vX_[1443] * vX_[1439];
+ vX_[1192] = 2. * vX_[1220];
+ vX_[1443] = vX_[1443] * vX_[1209] + vX_[1438] * vX_[1439];
+ vX_[1438] = 2. * vX_[1443];
+ vX_[1112] = 2. * (vX_[1456] * vX_[1439] + vX_[1457] * vX_[1209]);
+ vX_[1439] = vX_[1456] * vX_[1209] - vX_[1457] * vX_[1439];
+ vX_[1439] = (0 - (vX_[1446] * vX_[1220] + vX_[1192] * vX_[1445]) - (vX_[1448] * vX_[1443] + vX_[1438] * vX_[1447])) * vX_[1455] + (vX_[1458] * vX_[1220] + vX_[1112] * vX_[1445] + vX_[1448] * vX_[1439] + vX_[1438] * vX_[1459]) * vX_[1466] + (vX_[1458] * vX_[1443] + vX_[1112] * vX_[1447] - (vX_[1446] * vX_[1439] + vX_[1192] * vX_[1459])) * vX_[1470];
+ vX_[1112] = ((- vX_[1474]) * 100. * vX_[1439] * vX_[1472]) / vX_[1473];
+ vX_[1438] = -0.5 * sin(vX_[1353]);
+ vX_[1353] = 0.5 * cos(vX_[1353]);
+ vX_[1443] = vX_[1352] * vX_[1438] - vX_[1357] * vX_[1353];
+ vX_[1192] = 2. * vX_[1443];
+ vX_[1220] = vX_[1360] * vX_[1443] + vX_[1192] * vX_[1359];
+ vX_[1357] = vX_[1357] * vX_[1438] + vX_[1352] * vX_[1353];
+ vX_[1352] = 2. * vX_[1357];
+ vX_[1470] = vX_[1363] * vX_[1357] + vX_[1352] * vX_[1362];
+ vX_[1466] = vX_[1392] * vX_[1353] + vX_[1393] * vX_[1438];
+ vX_[1459] = 2. * vX_[1466];
+ vX_[1443] = vX_[1395] * vX_[1443] + vX_[1459] * vX_[1359];
+ vX_[1353] = vX_[1392] * vX_[1438] - vX_[1393] * vX_[1353];
+ vX_[1352] = vX_[1363] * vX_[1353] + vX_[1352] * vX_[1397];
+ vX_[1363] = vX_[1395] * vX_[1357] + vX_[1459] * vX_[1362];
+ vX_[1438] = vX_[1360] * vX_[1353] + vX_[1192] * vX_[1397];
+ vX_[1439] = vX_[1433] * vX_[1112] + -1000. * ((0 - vX_[1220] - vX_[1470]) * vX_[1391] + (vX_[1443] + vX_[1352]) * vX_[1422] + (vX_[1363] - vX_[1438]) * vX_[1432]) * vX_[1474] + 5000. * -100. * vX_[1439] * vX_[1471];
+ vX_[1393] = -0.5 * sin(vX_[1331]);
+ vX_[1331] = 0.5 * cos(vX_[1331]);
+ vX_[1392] = vX_[1339] * vX_[1393] - vX_[1340] * vX_[1331];
+ vX_[1359] = vX_[1330] * vX_[1331] + vX_[1335] * vX_[1393];
+ vX_[1458] = 2. * vX_[1359];
+ vX_[1455] = vX_[1338] * vX_[1392] + vX_[1458] * vX_[1341];
+ vX_[1335] = vX_[1330] * vX_[1393] - vX_[1335] * vX_[1331];
+ vX_[1331] = vX_[1340] * vX_[1393] + vX_[1339] * vX_[1331];
+ vX_[1393] = 2. * vX_[1331];
+ vX_[1340] = vX_[1344] * vX_[1335] + vX_[1393] * vX_[1345];
+ vX_[1466] = vX_[1395] * vX_[1466] + vX_[1459] * vX_[1394];
+ vX_[1357] = vX_[1360] * vX_[1357] + vX_[1192] * vX_[1362];
+ vX_[1353] = vX_[1395] * vX_[1353] + vX_[1459] * vX_[1397];
+ vX_[1352] = vX_[1494] * vX_[1112] + -1000. * ((vX_[1443] - vX_[1352]) * vX_[1391] + (0 - vX_[1466] - vX_[1470]) * vX_[1422] + (vX_[1357] + vX_[1353]) * vX_[1432]) * vX_[1474];
+ vX_[1359] = vX_[1338] * vX_[1359] + vX_[1458] * vX_[1337];
+ vX_[1393] = vX_[1344] * vX_[1331] + vX_[1393] * vX_[1343];
+ vX_[1353] = vX_[1361] * vX_[1112] + -1000. * ((vX_[1363] + vX_[1438]) * vX_[1391] + (vX_[1357] - vX_[1353]) * vX_[1422] + (0 - vX_[1466] - vX_[1220]) * vX_[1432]) * vX_[1474];
+ vX_[1357] = 2. * vX_[1392];
+ vX_[1466] = vX_[1480] * vX_[1331] + vX_[1357] * vX_[1343];
+ vX_[1438] = vX_[1338] * vX_[1335] + vX_[1458] * vX_[1345];
+ vX_[1363] = vX_[1347] * vX_[1439] + (vX_[1455] + vX_[1340]) * vX_[1487] + vX_[1490] * vX_[1352] + (0 - vX_[1359] - vX_[1393]) * vX_[1478] + vX_[1495] * vX_[1353] + (vX_[1466] - vX_[1438]) * vX_[1476];
+ vX_[1331] = vX_[1338] * vX_[1331] + vX_[1458] * vX_[1343];
+ vX_[1335] = vX_[1480] * vX_[1335] + vX_[1357] * vX_[1345];
+ vX_[1357] = vX_[1480] * vX_[1392] + vX_[1357] * vX_[1341];
+ vX_[1438] = vX_[1501] * vX_[1439] + (vX_[1331] - vX_[1335]) * vX_[1487] + vX_[1475] * vX_[1352] + (vX_[1466] + vX_[1438]) * vX_[1478] + vX_[1488] * vX_[1353] + (0 - vX_[1359] - vX_[1357]) * vX_[1476];
+ vX_[1466] = vX_[1325] * vX_[1363] - vX_[1498] * vX_[1438];
+ vX_[1357] = vX_[1356] * vX_[1439] + (0 - vX_[1357] - vX_[1393]) * vX_[1487] + vX_[1346] * vX_[1352] + (vX_[1455] - vX_[1340]) * vX_[1478] + vX_[1500] * vX_[1353] + (vX_[1331] + vX_[1335]) * vX_[1476];
+ vX_[1335] = vX_[1504] * vX_[1438] - vX_[1325] * vX_[1357];
+ vX_[1331] = 0 - vX_[1321] * vX_[1466] - vX_[369] * vX_[1335] - vX_[1348] * vX_[1357] - vX_[1477] * vX_[1363] - vX_[1482] * vX_[1438];
+ vX_[1353] = 0 - vX_[1331];
+ vX_[1393] = (0.1104774 * vX_[1353]) / 0.026181 - vX_[1489] * vX_[1357] - vX_[1507] * vX_[1363] - vX_[1508] * vX_[1438];
+ vX_[1352] = (-0.0004405 * vX_[1353]) / 0.026181 - vX_[1511] * vX_[1357] - vX_[1512] * vX_[1363] - vX_[1515] * vX_[1438];
+ vX_[1331] = (0.026181 * vX_[1353]) / 0.026181 + vX_[1331] + vX_[1517] * vX_[1393] + vX_[377] * vX_[1352];
+ vX_[1340] = 0 - vX_[1331];
+ vX_[1455] = vX_[372] * vX_[1393] + vX_[374] * vX_[1352] + (vX_[393] * vX_[1340]) / vX_[395];
+ vX_[1352] = vX_[1520] * vX_[1393] + vX_[372] * vX_[1352] + (vX_[406] * vX_[1340]) / vX_[395];
+ vX_[1393] = vX_[1498] * vX_[1357] - vX_[1504] * vX_[1363];
+ vX_[1439] = 0 - vX_[1521] * vX_[1466] - vX_[1507] * vX_[1335] - vX_[1508] * vX_[1393] - vX_[1529] * vX_[1357] - vX_[1536] * vX_[1363] - vX_[1541] * vX_[1438];
+ vX_[1393] = 0 - vX_[1510] * vX_[1466] - vX_[1512] * vX_[1335] - vX_[1514] * vX_[1393] - vX_[1550] * vX_[1357] - vX_[1557] * vX_[1363] - vX_[1561] * vX_[1438];
+ vX_[1357] = 0 - vX_[1326] * vX_[1357] - vX_[369] * vX_[1363];
+ vX_[1363] = vX_[372] * vX_[1439] + vX_[374] * vX_[1393] + -0.35 * vX_[1357] + (vX_[402] * vX_[1340]) / vX_[395];
+ vX_[1393] = vX_[375] * vX_[1439] + vX_[372] * vX_[1393] + (vX_[383] * vX_[1340]) / vX_[395];
+ vX_[1439] = vX_[371] * vX_[1363] + vX_[398] * vX_[1393] + -0.08 * vX_[1357];
+ vX_[1335] = 0 - vX_[1439];
+ vX_[1331] = vX_[1275] * vX_[1455] + vX_[419] * vX_[1352] + -1 * (vX_[1331] + (vX_[395] * vX_[1340]) / vX_[395]) + (vX_[482] * vX_[1335]) / vX_[445];
+ vX_[1393] = vX_[399] * vX_[1363] + vX_[371] * vX_[1393] + (vX_[440] * vX_[1335]) / vX_[445];
+ vX_[1363] = vX_[371] * vX_[1455] + vX_[398] * vX_[1352] + (vX_[467] * vX_[1335]) / vX_[445];
+ vX_[1357] = -1 * vX_[1357] + (vX_[459] * vX_[1335]) / vX_[445];
+ vX_[1352] = vX_[1562] * vX_[1455] + vX_[371] * vX_[1352] + (vX_[443] * vX_[1335]) / vX_[445];
+ vX_[1439] = ((vX_[92] * vX_[597]) / vX_[92] + vX_[703] + vX_[136] * vX_[619] + vX_[95] * vX_[614] + vX_[248] * vX_[871] + vX_[206] * vX_[866] + -1 * (vX_[956] + (vX_[203] * vX_[849]) / vX_[203]) + (vX_[324] * vX_[1091]) / vX_[324] + vX_[1193] + vX_[368] * vX_[1110] + vX_[327] * vX_[1106] + vX_[1573] * vX_[1357] + vX_[448] * vX_[1352] + -1 * (vX_[1439] + (vX_[445] * vX_[1335]) / vX_[445])) / vX_[583];
+ vX_[1193] = (vX_[26] * vX_[593] + vX_[96] * vX_[656] + vX_[97] * vX_[619] + vX_[1569] * vX_[614] + vX_[138] * vX_[845] + vX_[209] * vX_[910] + vX_[210] * vX_[871] + vX_[1570] * vX_[866] + vX_[249] * vX_[1087] + vX_[328] * vX_[1147] + vX_[329] * vX_[1110] + vX_[1571] * vX_[1106] + vX_[370] * vX_[1331] + vX_[451] * vX_[1393] + vX_[452] * vX_[1357] + vX_[1572] * vX_[1352] - vX_[1566] * vX_[1439]) / vX_[580];
+ vX_[1393] = (vX_[96] * vX_[593] + vX_[98] * vX_[656] + 0.207 * vX_[625] + vX_[99] * vX_[619] + vX_[834] * vX_[614] + vX_[208] * vX_[845] + vX_[138] * vX_[910] + 0.207 * vX_[877] + vX_[211] * vX_[871] + vX_[998] * vX_[866] + vX_[328] * vX_[1087] + vX_[330] * vX_[1147] + 0.207 * vX_[1116] + vX_[331] * vX_[1110] + vX_[1318] * vX_[1106] + vX_[450] * vX_[1331] + vX_[370] * vX_[1393] + 0.207 * vX_[1363] + vX_[453] * vX_[1357] + vX_[1481] * vX_[1352] - vX_[1568] * vX_[1193] - vX_[490] * vX_[1439]) / vX_[582];
+ vX_[1363] = (vX_[625] + -1 * vX_[877] + vX_[1116] + -1 * vX_[1363] - vX_[1610] * vX_[1193] - vX_[1630] * vX_[1439] - vX_[1627] * vX_[1393]) / vX_[1657];
+ vX_[1116] = (vX_[26] * vX_[619] + vX_[96] * vX_[614] + vX_[1615] * vX_[871] + vX_[1616] * vX_[866] + vX_[249] * vX_[1110] + vX_[328] * vX_[1106] + vX_[1617] * vX_[1357] + vX_[1618] * vX_[1352] - vX_[1587] * vX_[1193] - vX_[1611] * vX_[1439] - vX_[1575] * vX_[1393] - vX_[1629] * vX_[1363]) / vX_[1654];
+ vX_[1352] = (vX_[96] * vX_[619] + vX_[1667] * vX_[614] + vX_[208] * vX_[871] + vX_[1668] * vX_[866] + vX_[328] * vX_[1110] + vX_[1669] * vX_[1106] + vX_[450] * vX_[1357] + vX_[1670] * vX_[1352] - vX_[748] * vX_[1193] - vX_[1626] * vX_[1439] - vX_[484] * vX_[1393] - vX_[1664] * vX_[1363] - vX_[1584] * vX_[1116]) / vX_[1656];
+ vX_[1116] = vX_[1116] - vX_[1666] * vX_[1352];
+ vX_[1363] = vX_[1363] - vX_[1665] * vX_[1352] - vX_[1599] * vX_[1116];
+ vX_[1393] = vX_[1393] - vX_[1614] * vX_[1116] - vX_[1628] * vX_[1363] - vX_[1660] * vX_[1352];
+ jac[92] = - vX_[1393];
+ vX_[1193] = vX_[1193] - vX_[1619] * vX_[1363] - vX_[1565] * vX_[1393] - vX_[1613] * vX_[1116] - vX_[1659] * vX_[1352];
+ jac[90] = vX_[584] * vX_[1393] + vX_[1567] * vX_[1193] + vX_[1593] * vX_[1363] + vX_[1612] * vX_[1116] + vX_[1658] * vX_[1352] - vX_[1439];
+ jac[91] = - vX_[1193];
+ vX_[1363] = - vX_[1363];
+ vX_[1193] = -0.5 * sin(vX_[1231]);
+ vX_[1231] = 0.5 * cos(vX_[1231]);
+ vX_[1393] = vX_[1479] * vX_[1193] + vX_[787] * vX_[1231];
+ vX_[1439] = 2. * (vX_[1272] * vX_[1231] + vX_[744] * vX_[1193]);
+ vX_[744] = vX_[1272] * vX_[1193] - vX_[744] * vX_[1231];
+ vX_[1231] = vX_[787] * vX_[1193] - vX_[1479] * vX_[1231];
+ vX_[1193] = 2. * vX_[1231];
+ jac[93] = vX_[1363] + -9.81 * (vX_[1644] * vX_[1393] + vX_[1439] * vX_[1662] - (vX_[362] * vX_[744] + vX_[1193] * vX_[571]));
+ vX_[1116] = - vX_[1116];
+ vX_[787] = 2. * vX_[1393];
+ jac[94] = vX_[1116] + -9.81 * (vX_[1644] * vX_[1231] + vX_[1439] * vX_[1661] + vX_[130] * vX_[744] + vX_[787] * vX_[571]);
+ vX_[1352] = - vX_[1352];
+ jac[95] = vX_[1352] + -9.81 * (0 - (vX_[362] * vX_[1231] + vX_[1193] * vX_[1661]) - (vX_[130] * vX_[1393] + vX_[787] * vX_[1662]));
+ vX_[787] = -1 * jac[90];
+ vX_[1193] = vX_[450] * jac[92] + vX_[370] * jac[91];
+ vX_[1231] = vX_[370] * jac[92] + vX_[451] * jac[91];
+ vX_[1393] = -1 * vX_[1363];
+ vX_[130] = 0.207 * jac[92] + vX_[1393];
+ vX_[362] = vX_[1481] * jac[92] + vX_[1572] * jac[91] + vX_[448] * jac[90] + vX_[1670] * vX_[1352] + vX_[1618] * vX_[1116];
+ jac[96] = (vX_[1335] - vX_[445] * vX_[787] - vX_[482] * vX_[1193] - vX_[440] * vX_[1231] - vX_[467] * vX_[130] - vX_[459] * (vX_[453] * jac[92] + vX_[452] * jac[91] + vX_[1573] * jac[90] + vX_[450] * vX_[1352] + vX_[1617] * vX_[1116]) - vX_[443] * vX_[362]) / vX_[445];
+ vX_[1335] = -1 * vX_[1193];
+ vX_[1661] = vX_[787] + jac[96];
+ vX_[1662] = vX_[371] * vX_[130] + vX_[1562] * vX_[362] + vX_[1275] * vX_[1193];
+ vX_[362] = vX_[398] * vX_[130] + vX_[371] * vX_[362] + vX_[419] * vX_[1193];
+ jac[97] = (vX_[1340] - vX_[395] * vX_[1335] - vX_[402] * (vX_[371] * vX_[1661] + vX_[399] * vX_[1231]) - vX_[383] * (vX_[398] * vX_[1661] + vX_[371] * vX_[1231]) - vX_[393] * vX_[1662] - vX_[406] * vX_[362]) / vX_[395];
+ vX_[1335] = vX_[1335] + jac[97];
+ jac[98] = (vX_[1353] - 0.1104774 * (vX_[372] * vX_[1662] + vX_[1520] * vX_[362] + vX_[1517] * vX_[1335]) - -0.0004405 * (vX_[374] * vX_[1662] + vX_[372] * vX_[362] + vX_[377] * vX_[1335]) - 0.026181 * vX_[1335]) / 0.026181;
+ vX_[1335] = vX_[328] * jac[92] + vX_[249] * jac[91];
+ vX_[362] = vX_[330] * jac[92] + vX_[328] * jac[91];
+ vX_[1662] = 0.207 * jac[92] + vX_[1363];
+ vX_[1353] = vX_[1318] * jac[92] + vX_[1571] * jac[91] + vX_[327] * jac[90] + vX_[1669] * vX_[1352] + vX_[328] * vX_[1116];
+ jac[99] = (vX_[1091] - vX_[324] * jac[90] - vX_[360] * vX_[1335] - vX_[319] * vX_[362] - vX_[345] * vX_[1662] - vX_[337] * (vX_[331] * jac[92] + vX_[329] * jac[91] + vX_[368] * jac[90] + vX_[328] * vX_[1352] + vX_[249] * vX_[1116]) - vX_[322] * vX_[1353]) / vX_[324];
+ vX_[1091] = jac[90] + jac[99];
+ vX_[1661] = vX_[1229] * vX_[1662] + vX_[1319] * vX_[1353] + vX_[1274] * vX_[1335];
+ vX_[1353] = vX_[698] * vX_[1662] + vX_[250] * vX_[1353] + vX_[299] * vX_[1335];
+ jac[100] = (vX_[1096] - vX_[274] * vX_[1335] - vX_[281] * (vX_[297] * vX_[1091] + vX_[278] * vX_[362]) - vX_[262] * (vX_[278] * vX_[1091] + vX_[250] * vX_[362]) - vX_[272] * vX_[1661] - vX_[285] * vX_[1353]) / vX_[274];
+ vX_[1335] = vX_[1335] + jac[100];
+ jac[101] = (vX_[1107] - 0.1104774 * (vX_[251] * vX_[1661] + vX_[1276] * vX_[1353] + vX_[1252] * vX_[1335]) - -0.0004405 * (vX_[253] * vX_[1661] + vX_[251] * vX_[1353] + vX_[256] * vX_[1335]) - 0.026181 * vX_[1335]) / 0.026181;
+ vX_[1335] = vX_[208] * jac[92] + vX_[138] * jac[91];
+ vX_[1353] = vX_[138] * jac[92] + vX_[209] * jac[91];
+ vX_[1393] = 0.207 * jac[92] + vX_[1393];
+ vX_[1661] = vX_[998] * jac[92] + vX_[1570] * jac[91] + vX_[206] * jac[90] + vX_[1668] * vX_[1352] + vX_[1616] * vX_[1116];
+ jac[102] = (vX_[849] - vX_[203] * vX_[787] - vX_[240] * vX_[1335] - vX_[198] * vX_[1353] - vX_[225] * vX_[1393] - vX_[217] * (vX_[211] * jac[92] + vX_[210] * jac[91] + vX_[248] * jac[90] + vX_[208] * vX_[1352] + vX_[1615] * vX_[1116]) - vX_[201] * vX_[1661]) / vX_[203];
+ vX_[849] = -1 * vX_[1335];
+ vX_[787] = vX_[787] + jac[102];
+ vX_[1107] = vX_[139] * vX_[1393] + vX_[1079] * vX_[1661] + vX_[790] * vX_[1335];
+ vX_[1661] = vX_[159] * vX_[1393] + vX_[139] * vX_[1661] + vX_[177] * vX_[1335];
+ jac[103] = (vX_[854] - vX_[156] * vX_[849] - 2.1e-05 * (vX_[139] * vX_[787] + vX_[160] * vX_[1353]) - -0.000102 * (vX_[159] * vX_[787] + vX_[139] * vX_[1353]) - vX_[154] * vX_[1107] - vX_[164] * vX_[1661]) / vX_[156];
+ vX_[849] = vX_[849] + jac[103];
+ jac[104] = (vX_[867] - 0.110125 * (vX_[142] * vX_[1107] + vX_[1037] * vX_[1661] + vX_[1034] * vX_[849]) - 0.000881 * (vX_[140] * vX_[1107] + vX_[142] * vX_[1661] + vX_[141] * vX_[849]) - 0.026181 * vX_[849]) / 0.026181;
+ vX_[849] = vX_[96] * jac[92] + vX_[26] * jac[91];
+ vX_[1661] = vX_[98] * jac[92] + vX_[96] * jac[91];
+ vX_[1363] = 0.207 * jac[92] + vX_[1363];
+ vX_[1107] = vX_[834] * jac[92] + vX_[1569] * jac[91] + vX_[95] * jac[90] + vX_[1667] * vX_[1352] + vX_[96] * vX_[1116];
+ jac[105] = (vX_[597] - vX_[92] * jac[90] - vX_[128] * vX_[849] - vX_[87] * vX_[1661] - vX_[113] * vX_[1363] - vX_[105] * (vX_[99] * jac[92] + vX_[97] * jac[91] + vX_[136] * jac[90] + vX_[96] * vX_[1352] + vX_[26] * vX_[1116]) - vX_[90] * vX_[1107]) / vX_[92];
+ vX_[1352] = jac[90] + jac[105];
+ vX_[1116] = vX_[746] * vX_[1363] + vX_[835] * vX_[1107] + vX_[789] * vX_[849];
+ vX_[1107] = vX_[613] * vX_[1363] + vX_[13] * vX_[1107] + vX_[67] * vX_[849];
+ jac[106] = (vX_[602] - vX_[42] * vX_[849] - vX_[49] * (vX_[65] * vX_[1352] + vX_[46] * vX_[1661]) - vX_[30] * (vX_[46] * vX_[1352] + vX_[13] * vX_[1661]) - vX_[40] * vX_[1116] - vX_[53] * vX_[1107]) / vX_[42];
+ vX_[849] = vX_[849] + jac[106];
+ jac[107] = (vX_[615] - 0.1104774 * (vX_[15] * vX_[1116] + vX_[791] * vX_[1107] + vX_[766] * vX_[849]) - 0.0004405 * (vX_[23] * vX_[1116] + vX_[15] * vX_[1107] + vX_[25] * vX_[849]) - 0.026181 * vX_[849]) / 0.026181;
+ vX_[849] = ((- vX_[739]) * 100. * vX_[737]) / vX_[738];
+ vX_[1107] = vX_[697] * vX_[849] + 5000. * -100. * vX_[736];
+ vX_[1116] = vX_[761] * vX_[849];
+ vX_[849] = vX_[623] * vX_[849];
+ vX_[615] = vX_[609] * vX_[1107] + vX_[757] * vX_[1116] + vX_[762] * vX_[849];
+ vX_[1352] = vX_[768] * vX_[1107] + vX_[706] * vX_[1116] + vX_[755] * vX_[849];
+ vX_[1661] = vX_[587] * vX_[615] - vX_[765] * vX_[1352];
+ vX_[849] = vX_[618] * vX_[1107] + vX_[608] * vX_[1116] + vX_[767] * vX_[849];
+ vX_[1116] = vX_[771] * vX_[1352] - vX_[587] * vX_[849];
+ vX_[1107] = 0 - vX_[96] * vX_[1661] - vX_[26] * vX_[1116] - vX_[610] * vX_[849] - vX_[742] * vX_[615] - vX_[749] * vX_[1352];
+ vX_[602] = 0 - vX_[1107];
+ vX_[1363] = (0.1104774 * vX_[602]) / 0.026181 - vX_[772] * vX_[849] - vX_[777] * vX_[615] - vX_[778] * vX_[1352];
+ vX_[597] = (0.0004405 * vX_[602]) / 0.026181 - vX_[781] * vX_[849] - vX_[783] * vX_[615] - vX_[786] * vX_[1352];
+ vX_[1107] = (0.026181 * vX_[602]) / 0.026181 + vX_[1107] + vX_[766] * vX_[1363] + vX_[25] * vX_[597];
+ vX_[867] = 0 - vX_[1107];
+ vX_[787] = vX_[15] * vX_[1363] + vX_[23] * vX_[597] + (vX_[40] * vX_[867]) / vX_[42];
+ vX_[597] = vX_[791] * vX_[1363] + vX_[15] * vX_[597] + (vX_[53] * vX_[867]) / vX_[42];
+ vX_[1363] = vX_[765] * vX_[849] - vX_[771] * vX_[615];
+ vX_[1353] = 0 - vX_[772] * vX_[1661] - vX_[776] * vX_[1116] - vX_[778] * vX_[1363] - vX_[800] * vX_[849] - vX_[807] * vX_[615] - vX_[812] * vX_[1352];
+ vX_[1363] = 0 - vX_[780] * vX_[1661] - vX_[783] * vX_[1116] - vX_[785] * vX_[1363] - vX_[821] * vX_[849] - vX_[828] * vX_[615] - vX_[833] * vX_[1352];
+ vX_[849] = 0 - vX_[96] * vX_[849] - vX_[26] * vX_[615];
+ vX_[615] = vX_[15] * vX_[1353] + vX_[23] * vX_[1363] + -0.35 * vX_[849] + (vX_[49] * vX_[867]) / vX_[42];
+ vX_[1363] = vX_[20] * vX_[1353] + vX_[15] * vX_[1363] + (vX_[30] * vX_[867]) / vX_[42];
+ vX_[1353] = vX_[65] * vX_[615] + vX_[46] * vX_[1363] + 0.08 * vX_[849];
+ vX_[1116] = 0 - vX_[1353];
+ vX_[1107] = (vX_[42] * vX_[867]) / vX_[42] + vX_[1107] + vX_[789] * vX_[787] + vX_[67] * vX_[597] + (vX_[128] * vX_[1116]) / vX_[92];
+ vX_[1363] = vX_[46] * vX_[615] + vX_[13] * vX_[1363] + (vX_[87] * vX_[1116]) / vX_[92];
+ vX_[615] = vX_[746] * vX_[787] + vX_[613] * vX_[597] + (vX_[113] * vX_[1116]) / vX_[92];
+ vX_[849] = vX_[849] + (vX_[105] * vX_[1116]) / vX_[92];
+ vX_[597] = vX_[835] * vX_[787] + vX_[13] * vX_[597] + (vX_[90] * vX_[1116]) / vX_[92];
+ vX_[787] = ((- vX_[991]) * 100. * vX_[989]) / vX_[990];
+ vX_[1661] = vX_[950] * vX_[787] + 5000. * -100. * vX_[988];
+ vX_[1352] = vX_[1011] * vX_[787];
+ vX_[787] = vX_[875] * vX_[787];
+ vX_[854] = vX_[861] * vX_[1661] + vX_[1007] * vX_[1352] + vX_[1012] * vX_[787];
+ vX_[1393] = vX_[1018] * vX_[1661] + vX_[992] * vX_[1352] + vX_[1005] * vX_[787];
+ vX_[1335] = vX_[839] * vX_[854] - vX_[1015] * vX_[1393];
+ vX_[787] = vX_[870] * vX_[1661] + vX_[860] * vX_[1352] + vX_[1017] * vX_[787];
+ vX_[1352] = vX_[1021] * vX_[1393] - vX_[839] * vX_[787];
+ vX_[1661] = 0 - vX_[836] * vX_[1335] - vX_[137] * vX_[1352] - vX_[862] * vX_[787] - vX_[994] * vX_[854] - vX_[999] * vX_[1393];
+ vX_[1091] = 0 - vX_[1661];
+ vX_[362] = (0.110125 * vX_[1091]) / 0.026181 - vX_[1006] * vX_[787] - vX_[1025] * vX_[854] - vX_[1026] * vX_[1393];
+ vX_[1096] = (0.000881 * vX_[1091]) / 0.026181 - vX_[1028] * vX_[787] - vX_[1030] * vX_[854] - vX_[1032] * vX_[1393];
+ vX_[1661] = (0.026181 * vX_[1091]) / 0.026181 + vX_[1661] + vX_[1034] * vX_[362] + vX_[141] * vX_[1096];
+ vX_[1662] = 0 - vX_[1661];
+ vX_[1231] = vX_[142] * vX_[362] + vX_[140] * vX_[1096] + (vX_[154] * vX_[1662]) / vX_[156];
+ vX_[1096] = vX_[1037] * vX_[362] + vX_[142] * vX_[1096] + (vX_[164] * vX_[1662]) / vX_[156];
+ vX_[362] = vX_[1015] * vX_[787] - vX_[1021] * vX_[854];
+ vX_[1340] = 0 - vX_[1006] * vX_[1335] - vX_[1024] * vX_[1352] - vX_[1026] * vX_[362] - vX_[1045] * vX_[787] - vX_[1052] * vX_[854] - vX_[1057] * vX_[1393];
+ vX_[362] = 0 - vX_[1028] * vX_[1335] - vX_[1029] * vX_[1352] - vX_[1060] * vX_[362] - vX_[1067] * vX_[787] - vX_[1074] * vX_[854] - vX_[1078] * vX_[1393];
+ vX_[787] = 0 - vX_[840] * vX_[787] - vX_[137] * vX_[854];
+ vX_[854] = vX_[142] * vX_[1340] + vX_[140] * vX_[362] + -0.35 * vX_[787] + (2.1e-05 * vX_[1662]) / vX_[156];
+ vX_[362] = vX_[152] * vX_[1340] + vX_[142] * vX_[362] + (-0.000102 * vX_[1662]) / vX_[156];
+ vX_[1340] = vX_[139] * vX_[854] + vX_[159] * vX_[362] + -0.08 * vX_[787];
+ vX_[1352] = 0 - vX_[1340];
+ vX_[1661] = vX_[790] * vX_[1231] + vX_[177] * vX_[1096] + -1 * (vX_[1661] + (vX_[156] * vX_[1662]) / vX_[156]) + (vX_[240] * vX_[1352]) / vX_[203];
+ vX_[362] = vX_[160] * vX_[854] + vX_[139] * vX_[362] + (vX_[198] * vX_[1352]) / vX_[203];
+ vX_[854] = vX_[139] * vX_[1231] + vX_[159] * vX_[1096] + (vX_[225] * vX_[1352]) / vX_[203];
+ vX_[787] = -1 * vX_[787] + (vX_[217] * vX_[1352]) / vX_[203];
+ vX_[1096] = vX_[1079] * vX_[1231] + vX_[139] * vX_[1096] + (vX_[201] * vX_[1352]) / vX_[203];
+ vX_[1231] = ((- vX_[1228]) * 100. * vX_[1226]) / vX_[1227];
+ vX_[1335] = vX_[1187] * vX_[1231] + 5000. * -100. * vX_[1225];
+ vX_[1393] = vX_[1247] * vX_[1231];
+ vX_[1231] = vX_[1114] * vX_[1231];
+ vX_[130] = vX_[1103] * vX_[1335] + vX_[1243] * vX_[1393] + vX_[1248] * vX_[1231];
+ vX_[1193] = vX_[1254] * vX_[1335] + vX_[1232] * vX_[1393] + vX_[1241] * vX_[1231];
+ vX_[744] = vX_[1081] * vX_[130] - vX_[1251] * vX_[1193];
+ vX_[1231] = vX_[740] * vX_[1335] + vX_[1102] * vX_[1393] + vX_[1253] * vX_[1231];
+ vX_[1393] = vX_[1257] * vX_[1193] - vX_[1081] * vX_[1231];
+ vX_[1335] = 0 - vX_[328] * vX_[744] - vX_[249] * vX_[1393] - vX_[1105] * vX_[1231] - vX_[1230] * vX_[130] - vX_[1235] * vX_[1193];
+ vX_[1439] = 0 - vX_[1335];
+ vX_[571] = (0.1104774 * vX_[1439]) / 0.026181 - vX_[1258] * vX_[1231] - vX_[1263] * vX_[130] - vX_[1265] * vX_[1193];
+ vX_[1644] = (-0.0004405 * vX_[1439]) / 0.026181 - vX_[1267] * vX_[1231] - vX_[1269] * vX_[130] - vX_[1271] * vX_[1193];
+ vX_[1335] = (0.026181 * vX_[1439]) / 0.026181 + vX_[1335] + vX_[1252] * vX_[571] + vX_[256] * vX_[1644];
+ vX_[1479] = 0 - vX_[1335];
+ vX_[1272] = vX_[251] * vX_[571] + vX_[253] * vX_[1644] + (vX_[272] * vX_[1479]) / vX_[274];
+ vX_[1644] = vX_[1276] * vX_[571] + vX_[251] * vX_[1644] + (vX_[285] * vX_[1479]) / vX_[274];
+ vX_[571] = vX_[1251] * vX_[1231] - vX_[1257] * vX_[130];
+ vX_[1357] = 0 - vX_[1258] * vX_[744] - vX_[1262] * vX_[1393] - vX_[1264] * vX_[571] - vX_[1285] * vX_[1231] - vX_[1292] * vX_[130] - vX_[1297] * vX_[1193];
+ vX_[571] = 0 - vX_[1267] * vX_[744] - vX_[1269] * vX_[1393] - vX_[1271] * vX_[571] - vX_[1305] * vX_[1231] - vX_[1312] * vX_[130] - vX_[1317] * vX_[1193];
+ vX_[1231] = 0 - vX_[328] * vX_[1231] - vX_[249] * vX_[130];
+ vX_[130] = vX_[251] * vX_[1357] + vX_[253] * vX_[571] + -0.35 * vX_[1231] + (vX_[281] * vX_[1479]) / vX_[274];
+ vX_[571] = vX_[254] * vX_[1357] + vX_[251] * vX_[571] + (vX_[262] * vX_[1479]) / vX_[274];
+ vX_[1357] = vX_[297] * vX_[130] + vX_[278] * vX_[571] + 0.08 * vX_[1231];
+ vX_[1393] = 0 - vX_[1357];
+ vX_[1335] = (vX_[274] * vX_[1479]) / vX_[274] + vX_[1335] + vX_[1274] * vX_[1272] + vX_[299] * vX_[1644] + (vX_[360] * vX_[1393]) / vX_[324];
+ vX_[571] = vX_[278] * vX_[130] + vX_[250] * vX_[571] + (vX_[319] * vX_[1393]) / vX_[324];
+ vX_[130] = vX_[1229] * vX_[1272] + vX_[698] * vX_[1644] + (vX_[345] * vX_[1393]) / vX_[324];
+ vX_[1231] = vX_[1231] + (vX_[337] * vX_[1393]) / vX_[324];
+ vX_[1644] = vX_[1319] * vX_[1272] + vX_[250] * vX_[1644] + (vX_[322] * vX_[1393]) / vX_[324];
+ vX_[1272] = ((- vX_[1474]) * 100. * vX_[1472]) / vX_[1473];
+ vX_[744] = vX_[1433] * vX_[1272] + 5000. * -100. * vX_[1471];
+ vX_[1193] = vX_[1494] * vX_[1272];
+ vX_[1272] = vX_[1361] * vX_[1272];
+ vX_[1106] = vX_[1347] * vX_[744] + vX_[1490] * vX_[1193] + vX_[1495] * vX_[1272];
+ vX_[1110] = vX_[1501] * vX_[744] + vX_[1475] * vX_[1193] + vX_[1488] * vX_[1272];
+ vX_[866] = vX_[1325] * vX_[1106] - vX_[1498] * vX_[1110];
+ vX_[1272] = vX_[1356] * vX_[744] + vX_[1346] * vX_[1193] + vX_[1500] * vX_[1272];
+ vX_[1193] = vX_[1504] * vX_[1110] - vX_[1325] * vX_[1272];
+ vX_[744] = 0 - vX_[1321] * vX_[866] - vX_[369] * vX_[1193] - vX_[1348] * vX_[1272] - vX_[1477] * vX_[1106] - vX_[1482] * vX_[1110];
+ vX_[871] = 0 - vX_[744];
+ vX_[614] = (0.1104774 * vX_[871]) / 0.026181 - vX_[1489] * vX_[1272] - vX_[1507] * vX_[1106] - vX_[1508] * vX_[1110];
+ vX_[619] = (-0.0004405 * vX_[871]) / 0.026181 - vX_[1511] * vX_[1272] - vX_[1512] * vX_[1106] - vX_[1515] * vX_[1110];
+ vX_[744] = (0.026181 * vX_[871]) / 0.026181 + vX_[744] + vX_[1517] * vX_[614] + vX_[377] * vX_[619];
+ vX_[877] = 0 - vX_[744];
+ vX_[625] = vX_[372] * vX_[614] + vX_[374] * vX_[619] + (vX_[393] * vX_[877]) / vX_[395];
+ vX_[619] = vX_[1520] * vX_[614] + vX_[372] * vX_[619] + (vX_[406] * vX_[877]) / vX_[395];
+ vX_[614] = vX_[1498] * vX_[1272] - vX_[1504] * vX_[1106];
+ vX_[1331] = 0 - vX_[1521] * vX_[866] - vX_[1507] * vX_[1193] - vX_[1508] * vX_[614] - vX_[1529] * vX_[1272] - vX_[1536] * vX_[1106] - vX_[1541] * vX_[1110];
+ vX_[614] = 0 - vX_[1510] * vX_[866] - vX_[1512] * vX_[1193] - vX_[1514] * vX_[614] - vX_[1550] * vX_[1272] - vX_[1557] * vX_[1106] - vX_[1561] * vX_[1110];
+ vX_[1272] = 0 - vX_[1326] * vX_[1272] - vX_[369] * vX_[1106];
+ vX_[1106] = vX_[372] * vX_[1331] + vX_[374] * vX_[614] + -0.35 * vX_[1272] + (vX_[402] * vX_[877]) / vX_[395];
+ vX_[614] = vX_[375] * vX_[1331] + vX_[372] * vX_[614] + (vX_[383] * vX_[877]) / vX_[395];
+ vX_[1331] = vX_[371] * vX_[1106] + vX_[398] * vX_[614] + -0.08 * vX_[1272];
+ vX_[1193] = 0 - vX_[1331];
+ vX_[744] = vX_[1275] * vX_[625] + vX_[419] * vX_[619] + -1 * (vX_[744] + (vX_[395] * vX_[877]) / vX_[395]) + (vX_[482] * vX_[1193]) / vX_[445];
+ vX_[614] = vX_[399] * vX_[1106] + vX_[371] * vX_[614] + (vX_[440] * vX_[1193]) / vX_[445];
+ vX_[1106] = vX_[371] * vX_[625] + vX_[398] * vX_[619] + (vX_[467] * vX_[1193]) / vX_[445];
+ vX_[1272] = -1 * vX_[1272] + (vX_[459] * vX_[1193]) / vX_[445];
+ vX_[619] = vX_[1562] * vX_[625] + vX_[371] * vX_[619] + (vX_[443] * vX_[1193]) / vX_[445];
+ vX_[1331] = ((vX_[92] * vX_[1116]) / vX_[92] + vX_[1353] + vX_[136] * vX_[849] + vX_[95] * vX_[597] + vX_[248] * vX_[787] + vX_[206] * vX_[1096] + -1 * (vX_[1340] + (vX_[203] * vX_[1352]) / vX_[203]) + (vX_[324] * vX_[1393]) / vX_[324] + vX_[1357] + vX_[368] * vX_[1231] + vX_[327] * vX_[1644] + vX_[1573] * vX_[1272] + vX_[448] * vX_[619] + -1 * (vX_[1331] + (vX_[445] * vX_[1193]) / vX_[445])) / vX_[583];
+ vX_[1357] = (vX_[26] * vX_[1107] + vX_[96] * vX_[1363] + vX_[97] * vX_[849] + vX_[1569] * vX_[597] + vX_[138] * vX_[1661] + vX_[209] * vX_[362] + vX_[210] * vX_[787] + vX_[1570] * vX_[1096] + vX_[249] * vX_[1335] + vX_[328] * vX_[571] + vX_[329] * vX_[1231] + vX_[1571] * vX_[1644] + vX_[370] * vX_[744] + vX_[451] * vX_[614] + vX_[452] * vX_[1272] + vX_[1572] * vX_[619] - vX_[1566] * vX_[1331]) / vX_[580];
+ vX_[614] = (vX_[96] * vX_[1107] + vX_[98] * vX_[1363] + 0.207 * vX_[615] + vX_[99] * vX_[849] + vX_[834] * vX_[597] + vX_[208] * vX_[1661] + vX_[138] * vX_[362] + 0.207 * vX_[854] + vX_[211] * vX_[787] + vX_[998] * vX_[1096] + vX_[328] * vX_[1335] + vX_[330] * vX_[571] + 0.207 * vX_[130] + vX_[331] * vX_[1231] + vX_[1318] * vX_[1644] + vX_[450] * vX_[744] + vX_[370] * vX_[614] + 0.207 * vX_[1106] + vX_[453] * vX_[1272] + vX_[1481] * vX_[619] - vX_[1568] * vX_[1357] - vX_[490] * vX_[1331]) / vX_[582];
+ vX_[1106] = (vX_[615] + -1 * vX_[854] + vX_[130] + -1 * vX_[1106] - vX_[1610] * vX_[1357] - vX_[1630] * vX_[1331] - vX_[1627] * vX_[614]) / vX_[1657];
+ vX_[130] = (vX_[26] * vX_[849] + vX_[96] * vX_[597] + vX_[1615] * vX_[787] + vX_[1616] * vX_[1096] + vX_[249] * vX_[1231] + vX_[328] * vX_[1644] + vX_[1617] * vX_[1272] + vX_[1618] * vX_[619] - vX_[1587] * vX_[1357] - vX_[1611] * vX_[1331] - vX_[1575] * vX_[614] - vX_[1629] * vX_[1106]) / vX_[1654];
+ vX_[619] = (vX_[96] * vX_[849] + vX_[1667] * vX_[597] + vX_[208] * vX_[787] + vX_[1668] * vX_[1096] + vX_[328] * vX_[1231] + vX_[1669] * vX_[1644] + vX_[450] * vX_[1272] + vX_[1670] * vX_[619] - vX_[748] * vX_[1357] - vX_[1626] * vX_[1331] - vX_[484] * vX_[614] - vX_[1664] * vX_[1106] - vX_[1584] * vX_[130]) / vX_[1656];
+ jac[203] = - vX_[619];
+ vX_[130] = vX_[130] - vX_[1666] * vX_[619];
+ jac[202] = - vX_[130];
+ vX_[1106] = vX_[1106] - vX_[1665] * vX_[619] - vX_[1599] * vX_[130];
+ jac[201] = - vX_[1106];
+ vX_[614] = vX_[614] - vX_[1614] * vX_[130] - vX_[1628] * vX_[1106] - vX_[1660] * vX_[619];
+ jac[200] = - vX_[614];
+ vX_[1357] = vX_[1357] - vX_[1619] * vX_[1106] - vX_[1565] * vX_[614] - vX_[1613] * vX_[130] - vX_[1659] * vX_[619];
+ jac[198] = vX_[584] * vX_[614] + vX_[1567] * vX_[1357] + vX_[1593] * vX_[1106] + vX_[1612] * vX_[130] + vX_[1658] * vX_[619] - vX_[1331];
+ jac[199] = - vX_[1357];
+ vX_[1357] = -1 * jac[198];
+ vX_[614] = vX_[450] * jac[200] + vX_[370] * jac[199];
+ vX_[1106] = vX_[370] * jac[200] + vX_[451] * jac[199];
+ vX_[130] = -1 * jac[201];
+ vX_[619] = 0.207 * jac[200] + vX_[130];
+ vX_[1331] = vX_[1481] * jac[200] + vX_[1572] * jac[199] + vX_[448] * jac[198] + vX_[1670] * jac[203] + vX_[1618] * jac[202];
+ jac[204] = (vX_[1193] - vX_[445] * vX_[1357] - vX_[482] * vX_[614] - vX_[440] * vX_[1106] - vX_[467] * vX_[619] - vX_[459] * (vX_[453] * jac[200] + vX_[452] * jac[199] + vX_[1573] * jac[198] + vX_[450] * jac[203] + vX_[1617] * jac[202]) - vX_[443] * vX_[1331]) / vX_[445];
+ vX_[1193] = -1 * vX_[614];
+ vX_[1272] = vX_[1357] + jac[204];
+ vX_[1644] = vX_[371] * vX_[619] + vX_[1562] * vX_[1331] + vX_[1275] * vX_[614];
+ vX_[1331] = vX_[398] * vX_[619] + vX_[371] * vX_[1331] + vX_[419] * vX_[614];
+ jac[205] = (vX_[877] - vX_[395] * vX_[1193] - vX_[402] * (vX_[371] * vX_[1272] + vX_[399] * vX_[1106]) - vX_[383] * (vX_[398] * vX_[1272] + vX_[371] * vX_[1106]) - vX_[393] * vX_[1644] - vX_[406] * vX_[1331]) / vX_[395];
+ vX_[1193] = vX_[1193] + jac[205];
+ jac[206] = (vX_[871] - 0.1104774 * (vX_[372] * vX_[1644] + vX_[1520] * vX_[1331] + vX_[1517] * vX_[1193]) - -0.0004405 * (vX_[374] * vX_[1644] + vX_[372] * vX_[1331] + vX_[377] * vX_[1193]) - 0.026181 * vX_[1193]) / 0.026181;
+ vX_[1193] = vX_[328] * jac[200] + vX_[249] * jac[199];
+ vX_[1331] = vX_[330] * jac[200] + vX_[328] * jac[199];
+ vX_[1644] = 0.207 * jac[200] + jac[201];
+ vX_[871] = vX_[1318] * jac[200] + vX_[1571] * jac[199] + vX_[327] * jac[198] + vX_[1669] * jac[203] + vX_[328] * jac[202];
+ jac[207] = (vX_[1393] - vX_[324] * jac[198] - vX_[360] * vX_[1193] - vX_[319] * vX_[1331] - vX_[345] * vX_[1644] - vX_[337] * (vX_[331] * jac[200] + vX_[329] * jac[199] + vX_[368] * jac[198] + vX_[328] * jac[203] + vX_[249] * jac[202]) - vX_[322] * vX_[871]) / vX_[324];
+ vX_[1393] = jac[198] + jac[207];
+ vX_[1272] = vX_[1229] * vX_[1644] + vX_[1319] * vX_[871] + vX_[1274] * vX_[1193];
+ vX_[871] = vX_[698] * vX_[1644] + vX_[250] * vX_[871] + vX_[299] * vX_[1193];
+ jac[208] = (vX_[1479] - vX_[274] * vX_[1193] - vX_[281] * (vX_[297] * vX_[1393] + vX_[278] * vX_[1331]) - vX_[262] * (vX_[278] * vX_[1393] + vX_[250] * vX_[1331]) - vX_[272] * vX_[1272] - vX_[285] * vX_[871]) / vX_[274];
+ vX_[1193] = vX_[1193] + jac[208];
+ jac[209] = (vX_[1439] - 0.1104774 * (vX_[251] * vX_[1272] + vX_[1276] * vX_[871] + vX_[1252] * vX_[1193]) - -0.0004405 * (vX_[253] * vX_[1272] + vX_[251] * vX_[871] + vX_[256] * vX_[1193]) - 0.026181 * vX_[1193]) / 0.026181;
+ vX_[1193] = vX_[208] * jac[200] + vX_[138] * jac[199];
+ vX_[871] = vX_[138] * jac[200] + vX_[209] * jac[199];
+ vX_[130] = 0.207 * jac[200] + vX_[130];
+ vX_[1272] = vX_[998] * jac[200] + vX_[1570] * jac[199] + vX_[206] * jac[198] + vX_[1668] * jac[203] + vX_[1616] * jac[202];
+ jac[210] = (vX_[1352] - vX_[203] * vX_[1357] - vX_[240] * vX_[1193] - vX_[198] * vX_[871] - vX_[225] * vX_[130] - vX_[217] * (vX_[211] * jac[200] + vX_[210] * jac[199] + vX_[248] * jac[198] + vX_[208] * jac[203] + vX_[1615] * jac[202]) - vX_[201] * vX_[1272]) / vX_[203];
+ vX_[1352] = -1 * vX_[1193];
+ vX_[1357] = vX_[1357] + jac[210];
+ vX_[1439] = vX_[139] * vX_[130] + vX_[1079] * vX_[1272] + vX_[790] * vX_[1193];
+ vX_[1272] = vX_[159] * vX_[130] + vX_[139] * vX_[1272] + vX_[177] * vX_[1193];
+ jac[211] = (vX_[1662] - vX_[156] * vX_[1352] - 2.1e-05 * (vX_[139] * vX_[1357] + vX_[160] * vX_[871]) - -0.000102 * (vX_[159] * vX_[1357] + vX_[139] * vX_[871]) - vX_[154] * vX_[1439] - vX_[164] * vX_[1272]) / vX_[156];
+ vX_[1352] = vX_[1352] + jac[211];
+ jac[212] = (vX_[1091] - 0.110125 * (vX_[142] * vX_[1439] + vX_[1037] * vX_[1272] + vX_[1034] * vX_[1352]) - 0.000881 * (vX_[140] * vX_[1439] + vX_[142] * vX_[1272] + vX_[141] * vX_[1352]) - 0.026181 * vX_[1352]) / 0.026181;
+ vX_[1352] = vX_[96] * jac[200] + vX_[26] * jac[199];
+ vX_[1272] = vX_[98] * jac[200] + vX_[96] * jac[199];
+ vX_[1439] = 0.207 * jac[200] + jac[201];
+ vX_[1091] = vX_[834] * jac[200] + vX_[1569] * jac[199] + vX_[95] * jac[198] + vX_[1667] * jac[203] + vX_[96] * jac[202];
+ jac[213] = (vX_[1116] - vX_[92] * jac[198] - vX_[128] * vX_[1352] - vX_[87] * vX_[1272] - vX_[113] * vX_[1439] - vX_[105] * (vX_[99] * jac[200] + vX_[97] * jac[199] + vX_[136] * jac[198] + vX_[96] * jac[203] + vX_[26] * jac[202]) - vX_[90] * vX_[1091]) / vX_[92];
+ vX_[1116] = jac[198] + jac[213];
+ vX_[1357] = vX_[746] * vX_[1439] + vX_[835] * vX_[1091] + vX_[789] * vX_[1352];
+ vX_[1091] = vX_[613] * vX_[1439] + vX_[13] * vX_[1091] + vX_[67] * vX_[1352];
+ jac[214] = (vX_[867] - vX_[42] * vX_[1352] - vX_[49] * (vX_[65] * vX_[1116] + vX_[46] * vX_[1272]) - vX_[30] * (vX_[46] * vX_[1116] + vX_[13] * vX_[1272]) - vX_[40] * vX_[1357] - vX_[53] * vX_[1091]) / vX_[42];
+ vX_[1352] = vX_[1352] + jac[214];
+ jac[215] = (vX_[602] - 0.1104774 * (vX_[15] * vX_[1357] + vX_[791] * vX_[1091] + vX_[766] * vX_[1352]) - 0.0004405 * (vX_[23] * vX_[1357] + vX_[15] * vX_[1091] + vX_[25] * vX_[1352]) - 0.026181 * vX_[1352]) / 0.026181;
+ vX_[1352] = -1 * sin(x_in[6]);
+ vX_[1091] = - vX_[1352];
+ vX_[1357] = cos(x_in[6]);
+ vX_[602] = vX_[1091] * x_in[19] + vX_[1357] * x_in[20];
+ vX_[1116] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[1272] = -1 * x_in[18] + x_in[24];
+ vX_[867] = -0.3735 * vX_[1352];
+ vX_[1439] = -0.3735 * vX_[1357];
+ vX_[871] = 0.207 * vX_[1357];
+ vX_[1662] = - vX_[1352];
+ vX_[130] = vX_[867] * x_in[20] + vX_[1439] * x_in[19] + vX_[871] * x_in[18] + vX_[1357] * x_in[23] + vX_[1662] * x_in[22];
+ vX_[1193] = vX_[602] * vX_[1116] - vX_[1272] * vX_[130];
+ vX_[1393] = vX_[602] * vX_[1272];
+ vX_[1331] = vX_[451] * x_in[19] + vX_[370] * x_in[20];
+ vX_[1479] = - vX_[1357];
+ vX_[1644] = vX_[1479] * x_in[19] + vX_[1091] * x_in[20];
+ vX_[1106] = vX_[1331] * vX_[1644] + vX_[1644] * vX_[1331];
+ vX_[877] = vX_[371] * vX_[1331] + vX_[398] * vX_[1272];
+ vX_[619] = -1 * vX_[130];
+ vX_[614] = vX_[371] * vX_[1644];
+ vX_[1231] = vX_[453] * x_in[20] + vX_[452] * x_in[19] + vX_[1573] * x_in[18] + vX_[450] * x_in[23] + vX_[1617] * x_in[22];
+ vX_[1096] = -0.08 * vX_[1272] + -1 * vX_[1231];
+ vX_[787] = vX_[877] * vX_[619] + vX_[614] * vX_[1096];
+ vX_[597] = vX_[370] * x_in[19] + vX_[450] * x_in[20];
+ vX_[849] = -1 * vX_[597] + x_in[25];
+ vX_[854] = -0.3735 * vX_[1357];
+ vX_[615] = 0.3735 * vX_[1352];
+ vX_[744] = -0.207 * vX_[1352];
+ vX_[571] = - vX_[1352];
+ vX_[1335] = - vX_[1357];
+ vX_[362] = vX_[854] * x_in[20] + vX_[615] * x_in[19] + vX_[744] * x_in[18] + vX_[571] * x_in[23] + vX_[1335] * x_in[22];
+ vX_[1661] = vX_[371] * vX_[362] + vX_[419] * vX_[602];
+ vX_[1363] = -1 * vX_[602];
+ vX_[1107] = vX_[1481] * x_in[20] + vX_[1572] * x_in[19] + vX_[448] * x_in[18] + vX_[1670] * x_in[23] + vX_[1618] * x_in[22];
+ vX_[1340] = vX_[398] * vX_[1116] + vX_[371] * vX_[1107] + vX_[419] * vX_[597];
+ vX_[1353] = vX_[849] * vX_[1661] + vX_[1363] * vX_[1340];
+ vX_[625] = vX_[399] * vX_[1644];
+ vX_[866] = vX_[399] * vX_[1331] + vX_[371] * vX_[1272];
+ vX_[1110] = vX_[877] * vX_[625] + vX_[614] * vX_[866];
+ vX_[1147] = vX_[372] * vX_[877] + vX_[374] * vX_[866];
+ vX_[1087] = -0.35 * vX_[625] + vX_[619];
+ vX_[910] = vX_[372] * vX_[614] + vX_[374] * vX_[625];
+ vX_[845] = -0.35 * vX_[866] + vX_[1096];
+ vX_[656] = vX_[1147] * vX_[1087] + vX_[910] * vX_[845];
+ vX_[593] = vX_[849] + x_in[26];
+ vX_[956] = vX_[1562] * vX_[362] + vX_[1275] * vX_[602];
+ vX_[703] = vX_[374] * vX_[956] + vX_[372] * vX_[1661] + vX_[377] * vX_[1363];
+ vX_[1455] = vX_[371] * vX_[1116] + vX_[1562] * vX_[1107] + vX_[1275] * vX_[597];
+ vX_[1466] = vX_[374] * vX_[1455] + vX_[372] * vX_[1340] + vX_[377] * vX_[849];
+ vX_[1438] = vX_[593] * vX_[703] + vX_[1363] * vX_[1466];
+ vX_[1359] = vX_[375] * vX_[614] + vX_[372] * vX_[625];
+ vX_[1392] = vX_[375] * vX_[877] + vX_[372] * vX_[866];
+ vX_[1480] = vX_[1147] * vX_[1359] + vX_[910] * vX_[1392];
+ vX_[1341] = vX_[1392] * vX_[1363] + vX_[1359] * vX_[593];
+ vX_[1345] = (- vX_[703]) * x_in[26];
+ vX_[1458] = vX_[372] * vX_[956] + vX_[1520] * vX_[1661] + vX_[1517] * vX_[1363];
+ vX_[1343] = vX_[1458] * x_in[26];
+ vX_[1338] = vX_[1359] * x_in[26];
+ vX_[1220] = cos(x_in[6]);
+ vX_[1112] = vX_[1449] * (0.33 * vX_[1352] * vX_[1323] * vX_[374] - 0.33 * vX_[1352] * vX_[371] * vX_[372] - 0.35 * vX_[1352] * vX_[371] - 0.08 * vX_[1352]) + vX_[1460] * (0.33 * vX_[1220] * vX_[1323] * vX_[374] - 0.33 * vX_[1220] * vX_[371] * vX_[372] - 0.35 * vX_[1220] * vX_[371] - 0.08 * vX_[1220]);
+ vX_[1432] = ((- vX_[1474]) * 100. * vX_[1112] * vX_[1472]) / vX_[1473];
+ vX_[1422] = 0.33 * vX_[1352];
+ vX_[1391] = 0.33 * vX_[1220] * vX_[1323] * vX_[374] - 0.33 * vX_[1220] * vX_[371] * vX_[372] - 0.35 * vX_[1220] * vX_[371] - 0.08 * vX_[1220];
+ vX_[1422] = (vX_[1422] * vX_[371] * vX_[374] + 0.33 * vX_[1352] * vX_[1323] * vX_[372]) * x_in[26] + (vX_[1422] * vX_[1323] * vX_[372] + 0.33 * vX_[1352] * vX_[371] * vX_[374] + 0.35 * vX_[1352] * vX_[1323]) * x_in[25] + (0.33 * vX_[1220] * vX_[371] * vX_[372] + -0.33 * vX_[1220] * vX_[1323] * vX_[374] + 0.35 * vX_[1220] * vX_[371] + 0.08 * vX_[1220]) * x_in[24] + x_in[18] * vX_[1391];
+ vX_[1344] = 0.33 * vX_[1220];
+ vX_[1337] = 0.33 * vX_[1352] * vX_[1323] * vX_[374] - 0.33 * vX_[1352] * vX_[371] * vX_[372] - 0.35 * vX_[1352] * vX_[371] - 0.08 * vX_[1352];
+ vX_[1344] = (vX_[1344] * vX_[371] * vX_[374] + 0.33 * vX_[1220] * vX_[1323] * vX_[372]) * x_in[26] + (vX_[1344] * vX_[1323] * vX_[372] + 0.33 * vX_[1220] * vX_[371] * vX_[374] + 0.35 * vX_[1220] * vX_[1323]) * x_in[25] + (0.33 * vX_[1352] * vX_[1323] * vX_[374] - 0.33 * vX_[1352] * vX_[371] * vX_[372] - 0.35 * vX_[1352] * vX_[371] - 0.08 * vX_[1352]) * x_in[24] - x_in[18] * vX_[1337];
+ vX_[1337] = x_in[19] * vX_[1337] - x_in[20] * vX_[1391];
+ vX_[1112] = vX_[1433] * vX_[1432] + -1000. * (vX_[1365] * vX_[1422] + vX_[1399] * vX_[1344] + vX_[1425] * vX_[1337]) * vX_[1474] + 5000. * -100. * vX_[1112] * vX_[1471];
+ vX_[1391] = vX_[1494] * vX_[1432] + -1000. * (vX_[1398] * vX_[1422] + vX_[1364] * vX_[1344] + vX_[1493] * vX_[1337]) * vX_[1474];
+ vX_[1337] = vX_[1361] * vX_[1432] + -1000. * (vX_[1424] * vX_[1422] + vX_[1492] * vX_[1344] + vX_[1396] * vX_[1337]) * vX_[1474];
+ vX_[1344] = vX_[1347] * vX_[1112] + vX_[1490] * vX_[1391] + vX_[1495] * vX_[1337];
+ vX_[1422] = vX_[1501] * vX_[1112] + vX_[1475] * vX_[1391] + vX_[1488] * vX_[1337];
+ vX_[1432] = 0.33 * vX_[1220] * vX_[1323] * vX_[374] - 0.33 * vX_[1220] * vX_[371] * vX_[372] - 0.35 * vX_[1220] * vX_[371] - 0.08 * vX_[1220];
+ vX_[1443] = vX_[1501] * vX_[1487] + vX_[1475] * vX_[1478] + vX_[1488] * vX_[1476];
+ vX_[1470] = vX_[1325] * vX_[1344] - (vX_[1498] * vX_[1422] + vX_[1432] * vX_[1443]);
+ vX_[1459] = vX_[1347] * vX_[1487] + vX_[1490] * vX_[1478] + vX_[1495] * vX_[1476];
+ vX_[1397] = vX_[1325] * vX_[1459] - vX_[1498] * vX_[1443];
+ vX_[1323] = 0.33 * vX_[1352] * vX_[1323] * vX_[374] - 0.33 * vX_[1352] * vX_[371] * vX_[372] - 0.35 * vX_[1352] * vX_[371] - 0.08 * vX_[1352];
+ vX_[1337] = vX_[1356] * vX_[1112] + vX_[1346] * vX_[1391] + vX_[1500] * vX_[1337];
+ vX_[1391] = vX_[1504] * vX_[1422] + vX_[1323] * vX_[1443] - vX_[1325] * vX_[1337];
+ vX_[1476] = vX_[1356] * vX_[1487] + vX_[1346] * vX_[1478] + vX_[1500] * vX_[1476];
+ vX_[1478] = vX_[1504] * vX_[1443] - vX_[1325] * vX_[1476];
+ vX_[1487] = vX_[372] * vX_[1455] + vX_[1520] * vX_[1340] + vX_[1517] * vX_[849];
+ vX_[1087] = vX_[1392] * vX_[1087] + vX_[1359] * vX_[845] - (vX_[593] * vX_[1458] + vX_[1363] * vX_[1487]);
+ vX_[1112] = 0.1104774 * (vX_[1438] - vX_[656]) + 0.025941 * vX_[1480] - (vX_[1321] * vX_[1470] + (- vX_[1220]) * vX_[1397]) - (vX_[369] * vX_[1391] + vX_[1352] * vX_[1478]) - (vX_[1348] * vX_[1337] + (0.3735 * vX_[1352] - 0.35 * vX_[1352] * vX_[398]) * vX_[1476]) - (vX_[1477] * vX_[1344] + (0.3735 * vX_[1220] - 0.35 * vX_[1220] * vX_[398]) * vX_[1459]) - (vX_[1482] * vX_[1422] + (0 - 0.207 * vX_[1220]) * vX_[1443]) - 0.0004405 * vX_[1087];
+ vX_[1395] = 0 - vX_[1112];
+ vX_[1192] = vX_[1352] * vX_[371];
+ vX_[1362] = vX_[1352] * vX_[398];
+ vX_[1360] = vX_[1220] * vX_[371];
+ vX_[1394] = vX_[1220] * vX_[398];
+ vX_[1339] = vX_[1360] * vX_[374] + vX_[1394] * vX_[372];
+ vX_[1330] = vX_[593] * vX_[1363] + vX_[1363] * vX_[593];
+ vX_[1448] = vX_[1147] * vX_[910] + vX_[910] * vX_[1147];
+ vX_[1447] = -0.881 * (vX_[656] - vX_[1438]) + 0.1104774 * vX_[1480] + -8.81e-05 * vX_[1341] + 0.414812462825713 * vX_[1345] + 0.00185880198235362 * vX_[1343] + 8.81e-05 * vX_[1338] + (0.1104774 * vX_[1395]) / 0.026181 - (vX_[1489] * vX_[1337] + (vX_[1192] * vX_[374] + vX_[1362] * vX_[372]) * vX_[1476]) - (vX_[1507] * vX_[1344] + vX_[1339] * vX_[1459]) - vX_[1508] * vX_[1422] - 0.0004405 * (vX_[1330] + vX_[1448]);
+ vX_[1446] = vX_[1147] * vX_[1363] + vX_[910] * vX_[593];
+ vX_[1445] = (- vX_[910]) * x_in[26];
+ vX_[1209] = vX_[1192] * vX_[372];
+ vX_[1394] = vX_[1394] * vX_[374] - vX_[1360] * vX_[372];
+ vX_[1360] = vX_[1392] * vX_[1359] + vX_[1359] * vX_[1392];
+ vX_[1330] = 0.881 * vX_[1087] + -8.81e-05 * vX_[1446] + 0.0004405 * vX_[1480] + 0.00185880198235362 * vX_[1345] + 0.880992588508842 * vX_[1343] + -8.81e-05 * vX_[1445] + (-0.0004405 * vX_[1395]) / 0.026181 - (vX_[1511] * vX_[1337] + (vX_[1362] * vX_[374] - vX_[1209]) * vX_[1476]) - (vX_[1512] * vX_[1344] + vX_[1394] * vX_[1459]) - vX_[1515] * vX_[1422] - 0.1104774 * (vX_[1330] + vX_[1360]);
+ vX_[1362] = (- vX_[614]) * x_in[25];
+ vX_[1480] = vX_[625] * x_in[25];
+ vX_[1457] = (- vX_[1661]) * x_in[25];
+ vX_[1456] = vX_[956] * x_in[25];
+ vX_[1146] = vX_[877] * vX_[1363] + vX_[614] * vX_[849];
+ vX_[619] = vX_[866] * vX_[619] + vX_[625] * vX_[1096] - (vX_[849] * vX_[956] + vX_[1363] * vX_[1455]);
+ vX_[1196] = vX_[866] * vX_[1363] + vX_[625] * vX_[849];
+ vX_[1097] = vX_[866] * vX_[625] + vX_[625] * vX_[866];
+ vX_[1101] = vX_[877] * vX_[614] + vX_[614] * vX_[877];
+ vX_[1112] = 0.47422804 * (vX_[1353] - vX_[787]) + 0.081641 * vX_[1110] + 2.1e-05 * vX_[1146] + (0.026181 * vX_[1395]) / 0.026181 + vX_[1112] + vX_[1517] * vX_[1447] + vX_[377] * vX_[1330] - -0.0825825 * vX_[619] - 0.000102 * vX_[1196] - 0.007418 * (vX_[1097] - vX_[1101]);
+ vX_[1212] = 0 - vX_[1112];
+ vX_[1363] = vX_[849] * vX_[1363] + vX_[1363] * vX_[849];
+ vX_[1353] = -3.146 * (vX_[787] - vX_[1353]) + 0.47422804 * vX_[1110] + vX_[372] * vX_[1447] + vX_[374] * vX_[1330] + vX_[403] * vX_[1362] + vX_[397] * vX_[1480] + vX_[429] * vX_[1457] + vX_[431] * vX_[1456] + (vX_[393] * vX_[1212]) / vX_[395] - -0.0825825 * (vX_[1363] + vX_[1101]);
+ vX_[619] = 3.146 * vX_[619] + -0.0825825 * vX_[1110] + vX_[1520] * vX_[1447] + vX_[372] * vX_[1330] + vX_[409] * vX_[1362] + vX_[408] * vX_[1480] + vX_[431] * vX_[1457] + vX_[430] * vX_[1456] + (vX_[406] * vX_[1212]) / vX_[395] - 0.47422804 * (vX_[1363] + vX_[1097]);
+ vX_[1330] = (- vX_[1644]) * x_in[24];
+ vX_[1447] = vX_[602] * x_in[24];
+ vX_[787] = (- vX_[362]) * x_in[24];
+ vX_[1099] = vX_[130] * x_in[24];
+ vX_[1094] = vX_[1331] * vX_[602] + vX_[1644] * vX_[597];
+ vX_[892] = vX_[1272] * vX_[362];
+ vX_[873] = vX_[1644] * vX_[1116];
+ vX_[1186] = vX_[1644] * vX_[1272];
+ vX_[1176] = vX_[1352] * vX_[398];
+ vX_[1323] = vX_[1498] * vX_[1337] + vX_[1432] * vX_[1476] - (vX_[1504] * vX_[1344] + vX_[1323] * vX_[1459]);
+ vX_[1432] = 0.207 * vX_[1352];
+ vX_[1458] = vX_[1147] * vX_[1458] + vX_[910] * vX_[1487] - (vX_[1392] * vX_[703] + vX_[1359] * vX_[1466]);
+ vX_[1339] = -8.81e-05 * vX_[1087] + -8.81e-05 * vX_[1343] + 0.026409 * vX_[1445] - (vX_[1521] * vX_[1470] + (vX_[1192] * vX_[374] + vX_[1176] * vX_[372]) * vX_[1397]) - (vX_[1507] * vX_[1391] + vX_[1339] * vX_[1478]) - vX_[1508] * vX_[1323] - (vX_[1529] * vX_[1337] + ((0.08 * vX_[1220] * vX_[398] + 0.3735 * vX_[1220] * vX_[371]) * vX_[374] + ((- 0.08 * vX_[1220]) * vX_[371] + 0.3735 * vX_[1220] * vX_[398] - 0.35 * vX_[1220]) * vX_[372]) * vX_[1476]) - (vX_[1536] * vX_[1344] + ((-0.08 * vX_[1352] * vX_[398] - 0.3735 * vX_[1352] * vX_[371]) * vX_[374] + (0.08 * vX_[1352] * vX_[371] + -0.3735 * vX_[1352] * vX_[398] + 0.35 * vX_[1352]) * vX_[372]) * vX_[1459]) - (vX_[1541] * vX_[1422] + (vX_[1432] * vX_[371] * vX_[374] + 0.207 * vX_[1352] * vX_[398] * vX_[372]) * vX_[1443]) - 0.1104774 * vX_[1458] - 0.025713 * vX_[1446];
+ vX_[1432] = 0.0004405 * vX_[1458] + -8.81e-05 * (vX_[656] - vX_[1438]) + -0.000227999999999999 * vX_[1341] + 8.81e-05 * vX_[1345] + 0.000468 * vX_[1338] - (vX_[1510] * vX_[1470] + (vX_[1176] * vX_[374] - vX_[1209]) * vX_[1397]) - (vX_[1512] * vX_[1391] + vX_[1394] * vX_[1478]) - vX_[1514] * vX_[1323] - (vX_[1550] * vX_[1337] + (((- 0.08 * vX_[1220]) * vX_[371] + 0.3735 * vX_[1220] * vX_[398] - 0.35 * vX_[1220]) * vX_[374] + ((- 0.08 * vX_[1220]) * vX_[398] - 0.3735 * vX_[1220] * vX_[371]) * vX_[372]) * vX_[1476]) - (vX_[1557] * vX_[1344] + ((0.08 * vX_[1352] * vX_[371] + -0.3735 * vX_[1352] * vX_[398] + 0.35 * vX_[1352]) * vX_[374] + (0.08 * vX_[1352] * vX_[398] + 0.3735 * vX_[1352] * vX_[371]) * vX_[372]) * vX_[1459]) - (vX_[1561] * vX_[1422] + (vX_[1432] * vX_[398] * vX_[374] - 0.207 * vX_[1352] * vX_[371] * vX_[372]) * vX_[1443]);
+ vX_[1458] = 0.881 * vX_[1458] + 0.1104774 * vX_[1446] + 0.0004405 * vX_[1341] + -0.1104774 * vX_[1445] + 0.0004405 * vX_[1338] - (vX_[1326] * vX_[1337] + (- vX_[1220]) * vX_[1476]) - (vX_[369] * vX_[1344] + vX_[1352] * vX_[1459]) - -8.81e-05 * (vX_[1360] + vX_[1448]);
+ vX_[956] = vX_[877] * vX_[956] + vX_[614] * vX_[1455] - (vX_[866] * vX_[1661] + vX_[625] * vX_[1340]);
+ vX_[1101] = 0.007418 * vX_[1196] + 0.000102 * (vX_[1363] - vX_[1101]) + vX_[372] * vX_[1339] + vX_[374] * vX_[1432] + -0.35 * vX_[1458] + vX_[425] * vX_[1362] + vX_[417] * vX_[1480] + vX_[403] * vX_[1457] + vX_[409] * vX_[1456] + (vX_[402] * vX_[1212]) / vX_[395] - 0.47422804 * vX_[956] - 0.084376 * vX_[1146] - 2.1e-05 * vX_[1110];
+ vX_[1432] = 0.002735 * vX_[1196] + -0.0825825 * vX_[956] + 0.000102 * vX_[1110] + vX_[375] * vX_[1339] + vX_[372] * vX_[1432] + vX_[417] * vX_[1362] + vX_[424] * vX_[1480] + vX_[397] * vX_[1457] + vX_[408] * vX_[1456] + (vX_[383] * vX_[1212]) / vX_[395] - 0.007418 * vX_[1146] - 2.1e-05 * (vX_[1363] - vX_[1097]);
+ vX_[956] = 0.47422804 * vX_[1146] + 3.146 * vX_[956] + -0.0825825 * vX_[1196] + vX_[1458] + vX_[392] * vX_[1362] + vX_[405] * vX_[1480];
+ vX_[1458] = vX_[597] * vX_[602] + vX_[602] * vX_[597];
+ vX_[1196] = 0.009466 * vX_[1094] + 0.1466472 * (vX_[892] - vX_[873]) + -5.1e-05 * vX_[1186] + vX_[371] * vX_[1101] + vX_[398] * vX_[1432] + -0.08 * vX_[956] - -0.022734 * vX_[1393] - -3.6e-05 * (vX_[1458] - vX_[1106]);
+ vX_[1146] = 0 - vX_[1196];
+ vX_[362] = vX_[1331] * vX_[130] + vX_[1644] * vX_[1231] - (vX_[597] * vX_[362] + vX_[602] * vX_[1107]);
+ vX_[1112] = 0.5824264 * vX_[1193] + -3.6e-05 * vX_[1393] + -0.022734 * (0 - vX_[1106]) + vX_[1275] * vX_[1353] + vX_[419] * vX_[619] + -1 * (vX_[1112] + (vX_[395] * vX_[1212]) / vX_[395]) + vX_[535] * vX_[1330] + vX_[575] * vX_[1447] + vX_[483] * vX_[787] + vX_[472] * vX_[1099] + (vX_[482] * vX_[1146]) / vX_[445] - 0.1466472 * vX_[362] - -0.123672 * vX_[1186] - -5.1e-05 * vX_[1094];
+ vX_[1644] = vX_[597] * vX_[1116] - vX_[1272] * vX_[1231];
+ vX_[130] = vX_[597] * vX_[1272];
+ vX_[602] = vX_[1272] * vX_[1272];
+ vX_[1339] = vX_[1331] * vX_[1331];
+ vX_[1363] = vX_[877] * vX_[1096];
+ vX_[1097] = vX_[849] * vX_[1340];
+ vX_[1110] = vX_[877] * vX_[866];
+ vX_[625] = vX_[1147] * vX_[845];
+ vX_[1661] = vX_[593] * vX_[1466];
+ vX_[614] = vX_[1147] * vX_[1392];
+ vX_[1360] = vX_[1392] * vX_[593];
+ vX_[1445] = 0 - vX_[1466];
+ vX_[1446] = vX_[1445] * x_in[26];
+ vX_[1448] = vX_[1487] * x_in[26];
+ vX_[1337] = vX_[1392] * x_in[26];
+ vX_[1344] = vX_[1392] * vX_[845] - vX_[593] * vX_[1487];
+ vX_[1220] = 0.1104774 * (vX_[1661] - vX_[625]) + 0.025941 * vX_[614] - vX_[1321] * vX_[1397] - vX_[369] * vX_[1478] - vX_[1348] * vX_[1476] - vX_[1477] * vX_[1459] - vX_[1482] * vX_[1443] - 0.0004405 * vX_[1344];
+ vX_[1338] = x_in[38] - vX_[1220];
+ vX_[1341] = vX_[593] * vX_[593];
+ vX_[1352] = vX_[1147] * vX_[1147];
+ vX_[1323] = -0.881 * (vX_[625] - vX_[1661]) + 0.1104774 * vX_[614] + -8.81e-05 * vX_[1360] + 0.414812462825713 * vX_[1446] + 0.00185880198235362 * vX_[1448] + 8.81e-05 * vX_[1337] + (0.1104774 * vX_[1338]) / 0.026181 - vX_[1489] * vX_[1476] - vX_[1507] * vX_[1459] - vX_[1508] * vX_[1443] - 0.0004405 * (vX_[1341] + vX_[1352]);
+ vX_[1176] = vX_[1147] * vX_[593];
+ vX_[1394] = 0 - vX_[1147];
+ vX_[1209] = vX_[1394] * x_in[26];
+ vX_[1391] = vX_[1392] * vX_[1392];
+ vX_[1341] = 0.881 * vX_[1344] + -8.81e-05 * vX_[1176] + 0.0004405 * vX_[614] + 0.00185880198235362 * vX_[1446] + 0.880992588508842 * vX_[1448] + -8.81e-05 * vX_[1209] + (-0.0004405 * vX_[1338]) / 0.026181 - vX_[1511] * vX_[1476] - vX_[1512] * vX_[1459] - vX_[1515] * vX_[1443] - 0.1104774 * (vX_[1341] + vX_[1391]);
+ vX_[614] = 0 - vX_[877];
+ vX_[1470] = vX_[614] * x_in[25];
+ vX_[1422] = vX_[866] * x_in[25];
+ vX_[1438] = 0 - vX_[1340];
+ vX_[656] = vX_[1438] * x_in[25];
+ vX_[1192] = vX_[1455] * x_in[25];
+ vX_[1087] = vX_[877] * vX_[849];
+ vX_[1359] = vX_[866] * vX_[1096] - vX_[849] * vX_[1455];
+ vX_[703] = vX_[866] * vX_[849];
+ vX_[910] = vX_[866] * vX_[866];
+ vX_[1145] = vX_[877] * vX_[877];
+ vX_[1338] = 0.47422804 * (vX_[1097] - vX_[1363]) + 0.081641 * vX_[1110] + 2.1e-05 * vX_[1087] + (0.026181 * vX_[1338]) / 0.026181 + vX_[1220] + vX_[1517] * vX_[1323] + vX_[377] * vX_[1341] - -0.0825825 * vX_[1359] - 0.000102 * vX_[703] - 0.007418 * (vX_[910] - vX_[1145]);
+ vX_[1220] = x_in[37] - vX_[1338];
+ vX_[1100] = (vX_[393] * vX_[1220]) / vX_[395];
+ vX_[1093] = vX_[849] * vX_[849];
+ vX_[1097] = -3.146 * (vX_[1363] - vX_[1097]) + 0.47422804 * vX_[1110] + vX_[372] * vX_[1323] + vX_[374] * vX_[1341] + vX_[403] * vX_[1470] + vX_[397] * vX_[1422] + vX_[429] * vX_[656] + vX_[431] * vX_[1192] + vX_[1100] - -0.0825825 * (vX_[1093] + vX_[1145]);
+ vX_[1363] = (vX_[406] * vX_[1220]) / vX_[395];
+ vX_[1359] = 3.146 * vX_[1359] + -0.0825825 * vX_[1110] + vX_[1520] * vX_[1323] + vX_[372] * vX_[1341] + vX_[409] * vX_[1470] + vX_[408] * vX_[1422] + vX_[431] * vX_[656] + vX_[430] * vX_[1192] + vX_[1363] - 0.47422804 * (vX_[1093] + vX_[910]);
+ vX_[1197] = (vX_[395] * vX_[1220]) / vX_[395];
+ vX_[1224] = 0 - vX_[1331];
+ vX_[1213] = vX_[1224] * x_in[24];
+ vX_[1151] = vX_[597] * x_in[24];
+ vX_[1149] = 0 - vX_[1107];
+ vX_[955] = vX_[1149] * x_in[24];
+ vX_[1115] = vX_[1231] * x_in[24];
+ vX_[1113] = vX_[1331] * vX_[597];
+ vX_[1148] = vX_[1272] * vX_[1107];
+ vX_[1095] = vX_[1331] * vX_[1116];
+ vX_[1086] = vX_[1331] * vX_[1272];
+ vX_[1202] = vX_[1498] * vX_[1476] - vX_[1504] * vX_[1459];
+ vX_[1201] = vX_[1147] * vX_[1487] - vX_[1392] * vX_[1466];
+ vX_[1344] = -8.81e-05 * vX_[1344] + -8.81e-05 * vX_[1448] + 0.026409 * vX_[1209] - vX_[1521] * vX_[1397] - vX_[1507] * vX_[1478] - vX_[1508] * vX_[1202] - vX_[1529] * vX_[1476] - vX_[1536] * vX_[1459] - vX_[1541] * vX_[1443] - 0.1104774 * vX_[1201] - 0.025713 * vX_[1176];
+ vX_[1446] = 0.0004405 * vX_[1201] + -8.81e-05 * (vX_[625] - vX_[1661]) + -0.000227999999999999 * vX_[1360] + 8.81e-05 * vX_[1446] + 0.000468 * vX_[1337] - vX_[1510] * vX_[1397] - vX_[1512] * vX_[1478] - vX_[1514] * vX_[1202] - vX_[1550] * vX_[1476] - vX_[1557] * vX_[1459] - vX_[1561] * vX_[1443];
+ vX_[1201] = 0.881 * vX_[1201] + 0.1104774 * vX_[1176] + 0.0004405 * vX_[1360] + -0.1104774 * vX_[1209] + 0.0004405 * vX_[1337] - vX_[1326] * vX_[1476] - vX_[369] * vX_[1459] - -8.81e-05 * (vX_[1391] + vX_[1352]);
+ vX_[1391] = (vX_[402] * vX_[1220]) / vX_[395];
+ vX_[1209] = vX_[877] * vX_[1455] - vX_[866] * vX_[1340];
+ vX_[1145] = 0.007418 * vX_[703] + 0.000102 * (vX_[1093] - vX_[1145]) + vX_[372] * vX_[1344] + vX_[374] * vX_[1446] + -0.35 * vX_[1201] + vX_[425] * vX_[1470] + vX_[417] * vX_[1422] + vX_[403] * vX_[656] + vX_[409] * vX_[1192] + vX_[1391] - 0.47422804 * vX_[1209] - 0.084376 * vX_[1087] - 2.1e-05 * vX_[1110];
+ vX_[1176] = (vX_[383] * vX_[1220]) / vX_[395];
+ vX_[1093] = 0.002735 * vX_[703] + -0.0825825 * vX_[1209] + 0.000102 * vX_[1110] + vX_[375] * vX_[1344] + vX_[372] * vX_[1446] + vX_[417] * vX_[1470] + vX_[424] * vX_[1422] + vX_[397] * vX_[656] + vX_[408] * vX_[1192] + vX_[1176] - 0.007418 * vX_[1087] - 2.1e-05 * (vX_[1093] - vX_[910]);
+ vX_[1209] = 0.47422804 * vX_[1087] + 3.146 * vX_[1209] + -0.0825825 * vX_[703] + vX_[1201] + vX_[392] * vX_[1470] + vX_[405] * vX_[1422];
+ vX_[1201] = vX_[597] * vX_[597];
+ vX_[703] = 0.009466 * vX_[1113] + 0.1466472 * (vX_[1148] - vX_[1095]) + -5.1e-05 * vX_[1086] + vX_[371] * vX_[1145] + vX_[398] * vX_[1093] + -0.08 * vX_[1209] - -0.022734 * vX_[130] - -3.6e-05 * (vX_[1201] - vX_[1339]);
+ vX_[1087] = x_in[36] - vX_[703];
+ vX_[910] = (vX_[482] * vX_[1087]) / vX_[445];
+ vX_[1110] = vX_[1331] * vX_[1231] - vX_[597] * vX_[1107];
+ vX_[1338] = 0.5824264 * vX_[1644] + -3.6e-05 * vX_[130] + -0.022734 * (vX_[602] - vX_[1339]) + vX_[1275] * vX_[1097] + vX_[419] * vX_[1359] + -1 * (vX_[1338] + vX_[1197]) + vX_[535] * vX_[1213] + vX_[575] * vX_[1151] + vX_[483] * vX_[955] + vX_[472] * vX_[1115] + vX_[910] - 0.1466472 * vX_[1110] - -0.123672 * vX_[1086] - -5.1e-05 * vX_[1113];
+ vX_[1432] = -0.133138 * vX_[1393] + 0.5824264 * (vX_[873] - vX_[892]) + -0.022734 * vX_[1094] + vX_[399] * vX_[1101] + vX_[371] * vX_[1432] + vX_[575] * vX_[1330] + vX_[444] * vX_[1447] + vX_[473] * vX_[787] + vX_[447] * vX_[1099] + (vX_[440] * vX_[1146]) / vX_[445] - -3.6e-05 * vX_[1186] - -5.1e-05 * (0 - vX_[1458]);
+ vX_[1101] = (vX_[440] * vX_[1087]) / vX_[445];
+ vX_[1352] = -0.133138 * vX_[130] + 0.5824264 * (vX_[1095] - vX_[1148]) + -0.022734 * vX_[1113] + vX_[399] * vX_[1145] + vX_[371] * vX_[1093] + vX_[575] * vX_[1213] + vX_[444] * vX_[1151] + vX_[473] * vX_[955] + vX_[447] * vX_[1115] + vX_[1101] - -3.6e-05 * vX_[1086] - -5.1e-05 * (vX_[602] - vX_[1201]);
+ vX_[362] = 3.44 * vX_[362] + 0.1466472 * vX_[1186] + vX_[371] * vX_[1353] + vX_[398] * vX_[619] + vX_[458] * vX_[1330] + vX_[434] * vX_[1447] + vX_[476] * vX_[787] + vX_[469] * vX_[1099] + (vX_[467] * vX_[1146]) / vX_[445] - 0.5824264 * (vX_[1458] + vX_[1106]);
+ vX_[956] = 0.1466472 * vX_[1094] + -3.44 * (vX_[873] - vX_[892]) + 0.5824264 * vX_[1393] + -1 * vX_[956] + vX_[483] * vX_[1330] + vX_[473] * vX_[1447] + vX_[475] * vX_[787] + vX_[461] * vX_[1099] + (vX_[459] * vX_[1146]) / vX_[445];
+ vX_[873] = (vX_[459] * vX_[1087]) / vX_[445];
+ vX_[1209] = 0.1466472 * vX_[1113] + -3.44 * (vX_[1095] - vX_[1148]) + 0.5824264 * vX_[130] + -1 * vX_[1209] + vX_[483] * vX_[1213] + vX_[473] * vX_[1151] + vX_[475] * vX_[955] + vX_[461] * vX_[1115] + vX_[873];
+ vX_[1458] = 3.44 * vX_[1193] + 0.5824264 * vX_[1186] + vX_[1562] * vX_[1353] + vX_[371] * vX_[619] + vX_[472] * vX_[1330] + vX_[447] * vX_[1447] + vX_[461] * vX_[787] + vX_[487] * vX_[1099] + (vX_[443] * vX_[1146]) / vX_[445] - 0.1466472 * vX_[1458];
+ vX_[1186] = (vX_[443] * vX_[1087]) / vX_[445];
+ vX_[602] = 3.44 * vX_[1644] + 0.5824264 * vX_[1086] + vX_[1562] * vX_[1097] + vX_[371] * vX_[1359] + vX_[472] * vX_[1213] + vX_[447] * vX_[1151] + vX_[461] * vX_[955] + vX_[487] * vX_[1115] + vX_[1186] - 0.1466472 * (vX_[602] + vX_[1201]);
+ vX_[1644] = x_in[18] * x_in[22] - x_in[19] * x_in[21];
+ vX_[619] = x_in[18] * x_in[23];
+ vX_[1353] = x_in[20] * x_in[21];
+ vX_[1193] = x_in[19] * x_in[20];
+ vX_[1095] = x_in[18] * x_in[19];
+ vX_[1148] = vX_[96] * x_in[19] + vX_[98] * x_in[20];
+ vX_[1113] = vX_[26] * x_in[19] + vX_[96] * x_in[20];
+ vX_[130] = vX_[1148] * vX_[1113];
+ vX_[892] = x_in[18] + x_in[33];
+ vX_[1094] = vX_[834] * x_in[20] + vX_[1569] * x_in[19] + vX_[95] * x_in[18] + vX_[1667] * x_in[23] + vX_[96] * x_in[22];
+ vX_[1393] = vX_[892] * vX_[1094];
+ vX_[1106] = 0.207 * x_in[20] + x_in[21];
+ vX_[1337] = vX_[1148] * vX_[1106];
+ vX_[1360] = vX_[1148] * vX_[892];
+ vX_[1661] = vX_[46] * vX_[1148] + vX_[65] * vX_[892];
+ vX_[625] = vX_[1113] + x_in[34];
+ vX_[1448] = vX_[1661] * vX_[625];
+ vX_[1200] = vX_[625] * vX_[625];
+ vX_[1199] = vX_[13] * vX_[1148] + vX_[46] * vX_[892];
+ vX_[973] = vX_[1199] * vX_[1199];
+ vX_[1211] = vX_[20] * vX_[1199] + vX_[15] * vX_[1661];
+ vX_[1210] = vX_[99] * x_in[20] + vX_[97] * x_in[19] + vX_[136] * x_in[18] + vX_[96] * x_in[23] + vX_[26] * x_in[22];
+ vX_[909] = 0.08 * vX_[892] + vX_[1210];
+ vX_[997] = -0.35 * vX_[1661] + vX_[909];
+ vX_[855] = vX_[625] + x_in[35];
+ vX_[859] = vX_[746] * vX_[1106] + vX_[835] * vX_[1094] + vX_[789] * vX_[1113];
+ vX_[976] = vX_[613] * vX_[1106] + vX_[13] * vX_[1094] + vX_[67] * vX_[1113];
+ vX_[857] = vX_[15] * vX_[859] + vX_[791] * vX_[976] + vX_[766] * vX_[625];
+ vX_[852] = vX_[1211] * vX_[997] - vX_[855] * vX_[857];
+ vX_[731] = vX_[857] * x_in[35];
+ vX_[621] = vX_[15] * vX_[1199] + vX_[23] * vX_[1661];
+ vX_[949] = 0 - vX_[621];
+ vX_[939] = vX_[949] * x_in[35];
+ vX_[908] = vX_[609] * vX_[754] + vX_[757] * vX_[743] + vX_[762] * vX_[741];
+ vX_[858] = vX_[768] * vX_[754] + vX_[706] * vX_[743] + vX_[755] * vX_[741];
+ vX_[851] = vX_[587] * vX_[908] - vX_[765] * vX_[858];
+ vX_[741] = vX_[618] * vX_[754] + vX_[608] * vX_[743] + vX_[767] * vX_[741];
+ vX_[743] = vX_[771] * vX_[858] - vX_[587] * vX_[741];
+ vX_[754] = vX_[765] * vX_[741] - vX_[771] * vX_[908];
+ vX_[960] = vX_[23] * vX_[859] + vX_[15] * vX_[976] + vX_[25] * vX_[625];
+ vX_[987] = vX_[621] * vX_[857] - vX_[1211] * vX_[960];
+ vX_[977] = vX_[621] * vX_[855];
+ vX_[914] = 8.81e-05 * vX_[852] + 8.81e-05 * vX_[731] + 0.026409 * vX_[939] - vX_[772] * vX_[851] - vX_[776] * vX_[743] - vX_[778] * vX_[754] - vX_[800] * vX_[741] - vX_[807] * vX_[908] - vX_[812] * vX_[858] - 0.1104774 * vX_[987] - 0.025713 * vX_[977];
+ vX_[912] = vX_[621] * vX_[997];
+ vX_[702] = vX_[855] * vX_[960];
+ vX_[876] = vX_[1211] * vX_[855];
+ vX_[874] = 0 - vX_[960];
+ vX_[911] = vX_[874] * x_in[35];
+ vX_[853] = vX_[1211] * x_in[35];
+ vX_[844] = -0.0004405 * vX_[987] + 8.81e-05 * (vX_[912] - vX_[702]) + -0.000227999999999999 * vX_[876] + -8.81e-05 * vX_[911] + 0.000468 * vX_[853] - vX_[780] * vX_[851] - vX_[783] * vX_[743] - vX_[785] * vX_[754] - vX_[821] * vX_[741] - vX_[828] * vX_[908] - vX_[833] * vX_[858];
+ vX_[965] = vX_[1211] * vX_[1211];
+ vX_[964] = vX_[621] * vX_[621];
+ vX_[987] = 0.881 * vX_[987] + 0.1104774 * vX_[977] + -0.0004405 * vX_[876] + -0.1104774 * vX_[939] + -0.0004405 * vX_[853] - vX_[96] * vX_[741] - vX_[26] * vX_[908] - 8.81e-05 * (vX_[965] + vX_[964]);
+ vX_[963] = 0 - vX_[1199];
+ vX_[962] = vX_[963] * x_in[34];
+ vX_[720] = vX_[1661] * x_in[34];
+ vX_[975] = 0 - vX_[976];
+ vX_[974] = vX_[975] * x_in[34];
+ vX_[655] = vX_[859] * x_in[34];
+ vX_[747] = vX_[625] * vX_[976];
+ vX_[603] = vX_[1199] * vX_[909];
+ vX_[607] = vX_[1199] * vX_[1661];
+ vX_[723] = vX_[1199] * vX_[625];
+ vX_[605] = vX_[621] * vX_[1211];
+ vX_[600] = 0.1104774 * (vX_[702] - vX_[912]) + 0.025941 * vX_[605] - vX_[96] * vX_[851] - vX_[26] * vX_[743] - vX_[610] * vX_[741] - vX_[742] * vX_[908] - vX_[749] * vX_[858] - -0.0004405 * vX_[852];
+ vX_[9] = x_in[47] - vX_[600];
+ vX_[869] = vX_[855] * vX_[855];
+ vX_[964] = -0.881 * (vX_[912] - vX_[702]) + 0.1104774 * vX_[605] + 8.81e-05 * vX_[876] + 0.414812462825713 * vX_[911] + -0.00185880198235362 * vX_[731] + -8.81e-05 * vX_[853] + (0.1104774 * vX_[9]) / 0.026181 - vX_[772] * vX_[741] - vX_[777] * vX_[908] - vX_[778] * vX_[858] - -0.0004405 * (vX_[869] + vX_[964]);
+ vX_[869] = 0.881 * vX_[852] + 8.81e-05 * vX_[977] + -0.0004405 * vX_[605] + -0.00185880198235362 * vX_[911] + 0.880992588508842 * vX_[731] + 8.81e-05 * vX_[939] + (0.0004405 * vX_[9]) / 0.026181 - vX_[781] * vX_[741] - vX_[783] * vX_[908] - vX_[786] * vX_[858] - 0.1104774 * (vX_[869] + vX_[965]);
+ vX_[605] = vX_[1661] * vX_[909] - vX_[625] * vX_[859];
+ vX_[965] = vX_[1661] * vX_[1661];
+ vX_[9] = 0.47422804 * (vX_[747] - vX_[603]) + 0.081641 * vX_[607] + 2.1e-05 * vX_[723] + (0.026181 * vX_[9]) / 0.026181 + vX_[600] + vX_[766] * vX_[964] + vX_[25] * vX_[869] - 0.0825825 * vX_[605] - -0.000102 * vX_[1448] - -0.007418 * (vX_[965] - vX_[973]);
+ vX_[600] = x_in[46] - vX_[9];
+ vX_[911] = (vX_[49] * vX_[600]) / vX_[42];
+ vX_[977] = vX_[1199] * vX_[859] - vX_[1661] * vX_[976];
+ vX_[939] = -0.007418 * vX_[1448] + -0.000102 * (vX_[1200] - vX_[973]) + vX_[15] * vX_[914] + vX_[23] * vX_[844] + -0.35 * vX_[987] + vX_[72] * vX_[962] + vX_[64] * vX_[720] + vX_[50] * vX_[974] + vX_[56] * vX_[655] + vX_[911] - 0.47422804 * vX_[977] - 0.084376 * vX_[723] - 2.1e-05 * vX_[607];
+ vX_[731] = (vX_[30] * vX_[600]) / vX_[42];
+ vX_[852] = 0.002735 * vX_[1448] + 0.0825825 * vX_[977] + -0.000102 * vX_[607] + vX_[20] * vX_[914] + vX_[15] * vX_[844] + vX_[64] * vX_[962] + vX_[71] * vX_[720] + vX_[44] * vX_[974] + vX_[55] * vX_[655] + vX_[731] - -0.007418 * vX_[723] - 2.1e-05 * (vX_[1200] - vX_[965]);
+ vX_[977] = 0.47422804 * vX_[723] + 3.146 * vX_[977] + 0.0825825 * vX_[1448] + vX_[987] + vX_[39] * vX_[962] + vX_[52] * vX_[720];
+ vX_[723] = vX_[1113] * vX_[892];
+ vX_[987] = vX_[1113] * vX_[1113];
+ vX_[1448] = vX_[1148] * vX_[1148];
+ vX_[853] = 0.009466 * vX_[130] + 0.1466472 * (vX_[1393] - vX_[1337]) + -5.1e-05 * vX_[1360] + vX_[65] * vX_[939] + vX_[46] * vX_[852] + 0.08 * vX_[977] - -0.022734 * vX_[723] - -3.6e-05 * (vX_[987] - vX_[1448]);
+ vX_[876] = x_in[45] - vX_[853];
+ vX_[702] = (vX_[92] * vX_[876]) / vX_[92];
+ vX_[912] = 0 - vX_[1148];
+ vX_[696] = vX_[912] * x_in[33];
+ vX_[686] = vX_[1113] * x_in[33];
+ vX_[654] = 0 - vX_[1094];
+ vX_[606] = vX_[654] * x_in[33];
+ vX_[599] = vX_[1210] * x_in[33];
+ vX_[707] = (vX_[105] * vX_[876]) / vX_[92];
+ vX_[977] = 0.1466472 * vX_[130] + -3.44 * (vX_[1337] - vX_[1393]) + 0.5824264 * vX_[723] + vX_[977] + vX_[129] * vX_[696] + vX_[119] * vX_[686] + vX_[121] * vX_[606] + vX_[107] * vX_[599] + vX_[707];
+ vX_[735] = vX_[1113] * vX_[1106] - vX_[892] * vX_[1210];
+ vX_[724] = (vX_[40] * vX_[600]) / vX_[42];
+ vX_[603] = -3.146 * (vX_[603] - vX_[747]) + 0.47422804 * vX_[607] + vX_[15] * vX_[964] + vX_[23] * vX_[869] + vX_[50] * vX_[962] + vX_[44] * vX_[720] + vX_[76] * vX_[974] + vX_[78] * vX_[655] + vX_[724] - 0.0825825 * (vX_[1200] + vX_[973]);
+ vX_[747] = (vX_[53] * vX_[600]) / vX_[42];
+ vX_[965] = 3.146 * vX_[605] + 0.0825825 * vX_[607] + vX_[791] * vX_[964] + vX_[15] * vX_[869] + vX_[56] * vX_[962] + vX_[55] * vX_[720] + vX_[78] * vX_[974] + vX_[77] * vX_[655] + vX_[747] - 0.47422804 * (vX_[1200] + vX_[965]);
+ vX_[605] = (vX_[90] * vX_[876]) / vX_[92];
+ vX_[607] = vX_[892] * vX_[892];
+ vX_[1200] = 3.44 * vX_[735] + 0.5824264 * vX_[1360] + vX_[835] * vX_[603] + vX_[13] * vX_[965] + vX_[118] * vX_[696] + vX_[94] * vX_[686] + vX_[107] * vX_[606] + vX_[133] * vX_[599] + vX_[605] - 0.1466472 * (vX_[607] + vX_[987]);
+ vX_[973] = vX_[209] * x_in[19] + vX_[138] * x_in[20];
+ vX_[660] = vX_[138] * x_in[19] + vX_[208] * x_in[20];
+ vX_[658] = vX_[973] * vX_[660];
+ vX_[5] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[624] = vX_[973] * vX_[5];
+ vX_[622] = -1 * x_in[18] + x_in[30];
+ vX_[657] = vX_[998] * x_in[20] + vX_[1570] * x_in[19] + vX_[206] * x_in[18] + vX_[1668] * x_in[23] + vX_[1616] * x_in[22];
+ vX_[601] = vX_[622] * vX_[657];
+ vX_[592] = vX_[660] * vX_[622];
+ vX_[712] = vX_[139] * vX_[973] + vX_[159] * vX_[622];
+ vX_[711] = -1 * vX_[660] + x_in[31];
+ vX_[710] = vX_[712] * vX_[711];
+ vX_[709] = vX_[139] * vX_[5] + vX_[1079] * vX_[657] + vX_[790] * vX_[660];
+ vX_[959] = vX_[160] * vX_[973] + vX_[139] * vX_[622];
+ vX_[722] = vX_[159] * vX_[5] + vX_[139] * vX_[657] + vX_[177] * vX_[660];
+ vX_[721] = vX_[712] * vX_[709] - vX_[959] * vX_[722];
+ vX_[8] = vX_[959] * vX_[711];
+ vX_[1188] = vX_[142] * vX_[712] + vX_[140] * vX_[959];
+ vX_[788] = vX_[711] + x_in[32];
+ vX_[4] = vX_[1188] * vX_[788];
+ vX_[3] = vX_[142] * vX_[709] + vX_[1037] * vX_[722] + vX_[1034] * vX_[711];
+ vX_[868] = vX_[152] * vX_[712] + vX_[142] * vX_[959];
+ vX_[1104] = vX_[140] * vX_[709] + vX_[142] * vX_[722] + vX_[141] * vX_[711];
+ vX_[2] = vX_[1188] * vX_[3] - vX_[868] * vX_[1104];
+ vX_[1111] = vX_[868] * vX_[788];
+ vX_[1033] = 0 - vX_[1188];
+ vX_[598] = vX_[1033] * x_in[32];
+ vX_[1350] = vX_[868] * x_in[32];
+ vX_[616] = vX_[870] * vX_[1004] + vX_[860] * vX_[995] + vX_[1017] * vX_[993];
+ vX_[617] = vX_[861] * vX_[1004] + vX_[1007] * vX_[995] + vX_[1012] * vX_[993];
+ vX_[1650] = 0.110125 * vX_[4] + 0.881 * vX_[2] + -0.000881 * vX_[1111] + -0.110125 * vX_[598] + -0.000881 * vX_[1350] - vX_[840] * vX_[616] - vX_[137] * vX_[617];
+ vX_[705] = 0 - vX_[712];
+ vX_[850] = vX_[705] * x_in[31];
+ vX_[961] = vX_[959] * x_in[31];
+ vX_[1354] = 0.47422804 * vX_[710] + 3.146 * vX_[721] + 0.0825825 * vX_[8] + vX_[1650] + vX_[153] * vX_[850] + vX_[163] * vX_[961];
+ vX_[1108] = 0 - vX_[973];
+ vX_[996] = vX_[1108] * x_in[30];
+ vX_[1092] = vX_[660] * x_in[30];
+ vX_[865] = 0 - vX_[657];
+ vX_[958] = vX_[865] * x_in[30];
+ vX_[1336] = vX_[211] * x_in[20] + vX_[210] * x_in[19] + vX_[248] * x_in[18] + vX_[208] * x_in[23] + vX_[1615] * x_in[22];
+ vX_[1542] = vX_[1336] * x_in[30];
+ vX_[1435] = vX_[973] * vX_[622];
+ vX_[1522] = vX_[711] * vX_[711];
+ vX_[872] = vX_[712] * vX_[712];
+ vX_[993] = vX_[1018] * vX_[1004] + vX_[992] * vX_[995] + vX_[1005] * vX_[993];
+ vX_[995] = vX_[839] * vX_[617] - vX_[1015] * vX_[993];
+ vX_[1004] = vX_[1021] * vX_[993] - vX_[839] * vX_[616];
+ vX_[708] = vX_[1015] * vX_[616] - vX_[1021] * vX_[617];
+ vX_[598] = 0.026409 * vX_[598] - vX_[1006] * vX_[995] - vX_[1024] * vX_[1004] - vX_[1026] * vX_[708] - vX_[1045] * vX_[616] - vX_[1052] * vX_[617] - vX_[1057] * vX_[993] - 0.110125 * vX_[2] - 0.025713 * vX_[4];
+ vX_[1350] = -0.000227999999999999 * vX_[1111] + -0.000881 * vX_[2] + 0.000468 * vX_[1350] - vX_[1028] * vX_[995] - vX_[1029] * vX_[1004] - vX_[1060] * vX_[708] - vX_[1067] * vX_[616] - vX_[1074] * vX_[617] - vX_[1078] * vX_[993];
+ vX_[1111] = 0 - vX_[722];
+ vX_[2] = vX_[1111] * x_in[31];
+ vX_[4] = vX_[709] * x_in[31];
+ vX_[620] = vX_[711] * vX_[722];
+ vX_[6] = -0.08 * vX_[622] + -1 * vX_[1336];
+ vX_[701] = vX_[712] * vX_[6];
+ vX_[10] = vX_[712] * vX_[959];
+ vX_[864] = vX_[788] * vX_[1104];
+ vX_[612] = -0.35 * vX_[959] + vX_[6];
+ vX_[1083] = vX_[1188] * vX_[612];
+ vX_[1189] = vX_[1188] * vX_[868];
+ vX_[841] = vX_[868] * vX_[612] - vX_[788] * vX_[3];
+ vX_[952] = 0.110125 * (vX_[864] - vX_[1083]) + 0.025941 * vX_[1189] - vX_[836] * vX_[995] - vX_[137] * vX_[1004] - vX_[862] * vX_[616] - vX_[994] * vX_[617] - vX_[999] * vX_[993] - -0.000881 * vX_[841];
+ vX_[589] = x_in[44] - vX_[952];
+ vX_[7] = 0 - vX_[1104];
+ vX_[1442] = vX_[7] * x_in[32];
+ vX_[1648] = vX_[3] * x_in[32];
+ vX_[1] = vX_[788] * vX_[788];
+ vX_[1083] = -0.881 * (vX_[1083] - vX_[864]) + 0.110125 * vX_[1189] + 0.417781802643138 * vX_[1442] + -0.00370574557885489 * vX_[1648] + (0.110125 * vX_[589]) / 0.026181 - vX_[1006] * vX_[616] - vX_[1025] * vX_[617] - vX_[1026] * vX_[993] - -0.000881 * (vX_[1] + vX_[1188] * vX_[1188]);
+ vX_[1] = 0.881 * vX_[841] + -0.000881 * vX_[1189] + -0.00370574557885489 * vX_[1442] + 0.880970354035369 * vX_[1648] + (0.000881 * vX_[589]) / 0.026181 - vX_[1028] * vX_[616] - vX_[1030] * vX_[617] - vX_[1032] * vX_[993] - 0.110125 * (vX_[1] + vX_[868] * vX_[868]);
+ vX_[1648] = vX_[959] * vX_[6] - vX_[711] * vX_[709];
+ vX_[1442] = vX_[959] * vX_[959];
+ vX_[589] = 0.47422804 * (vX_[620] - vX_[701]) + 0.081641 * vX_[10] + 2.1e-05 * vX_[710] + (0.026181 * vX_[589]) / 0.026181 + vX_[952] + vX_[1034] * vX_[1083] + vX_[141] * vX_[1] - 0.0825825 * vX_[1648] - -0.000102 * vX_[8] - -0.007418 * (vX_[1442] - vX_[872]);
+ vX_[952] = x_in[43] - vX_[589];
+ vX_[841] = (2.1e-05 * vX_[952]) / vX_[156];
+ vX_[1650] = -0.007418 * vX_[8] + -0.000102 * (vX_[1522] - vX_[872]) + vX_[142] * vX_[598] + vX_[140] * vX_[1350] + -0.35 * vX_[1650] + vX_[183] * vX_[850] + vX_[175] * vX_[961] + vX_[161] * vX_[2] + vX_[167] * vX_[4] + vX_[841] - 0.47422804 * vX_[721] - 0.084376 * vX_[710] - 2.1e-05 * vX_[10];
+ vX_[1189] = (-0.000102 * vX_[952]) / vX_[156];
+ vX_[8] = 0.002735 * vX_[8] + 0.0825825 * vX_[721] + -0.000102 * vX_[10] + vX_[152] * vX_[598] + vX_[142] * vX_[1350] + vX_[175] * vX_[850] + vX_[182] * vX_[961] + vX_[158] * vX_[2] + vX_[166] * vX_[4] + vX_[1189] - -0.007418 * vX_[710] - 2.1e-05 * (vX_[1522] - vX_[1442]);
+ vX_[721] = vX_[660] * vX_[660];
+ vX_[710] = vX_[973] * vX_[973];
+ vX_[864] = 0.009466 * vX_[658] + 0.1466472 * (vX_[601] - vX_[624]) + -5.1e-05 * vX_[1435] + vX_[139] * vX_[1650] + vX_[159] * vX_[8] + -0.08 * vX_[1354] - 0.022734 * vX_[592] - 3.6e-05 * (vX_[721] - vX_[710]);
+ vX_[1195] = x_in[42] - vX_[864];
+ vX_[1355] = (vX_[217] * vX_[1195]) / vX_[203];
+ vX_[1354] = 0.1466472 * vX_[658] + -3.44 * (vX_[624] - vX_[601]) + -0.5824264 * vX_[592] + -1 * vX_[1354] + vX_[241] * vX_[996] + vX_[231] * vX_[1092] + vX_[233] * vX_[958] + vX_[219] * vX_[1542] + vX_[1355];
+ vX_[1358] = vX_[660] * vX_[5] - vX_[622] * vX_[1336];
+ vX_[1333] = (vX_[154] * vX_[952]) / vX_[156];
+ vX_[701] = -3.146 * (vX_[701] - vX_[620]) + 0.47422804 * vX_[10] + vX_[142] * vX_[1083] + vX_[140] * vX_[1] + vX_[161] * vX_[850] + vX_[158] * vX_[961] + vX_[187] * vX_[2] + vX_[189] * vX_[4] + vX_[1333] - 0.0825825 * (vX_[1522] + vX_[872]);
+ vX_[620] = (vX_[164] * vX_[952]) / vX_[156];
+ vX_[1442] = 3.146 * vX_[1648] + 0.0825825 * vX_[10] + vX_[1037] * vX_[1083] + vX_[142] * vX_[1] + vX_[167] * vX_[850] + vX_[166] * vX_[961] + vX_[189] * vX_[2] + vX_[188] * vX_[4] + vX_[620] - 0.47422804 * (vX_[1522] + vX_[1442]);
+ vX_[1648] = (vX_[201] * vX_[1195]) / vX_[203];
+ vX_[10] = vX_[622] * vX_[622];
+ vX_[1522] = 3.44 * vX_[1358] + -0.5824264 * vX_[1435] + vX_[1079] * vX_[701] + vX_[139] * vX_[1442] + vX_[230] * vX_[996] + vX_[205] * vX_[1092] + vX_[219] * vX_[958] + vX_[245] * vX_[1542] + vX_[1648] - 0.1466472 * (vX_[10] + vX_[721]);
+ vX_[872] = (vX_[203] * vX_[1195]) / vX_[203];
+ vX_[1198] = vX_[328] * x_in[19] + vX_[330] * x_in[20];
+ vX_[1327] = vX_[249] * x_in[19] + vX_[328] * x_in[20];
+ vX_[1444] = vX_[1198] * vX_[1327];
+ vX_[1441] = x_in[18] + x_in[27];
+ vX_[1089] = vX_[1318] * x_in[20] + vX_[1571] * x_in[19] + vX_[327] * x_in[18] + vX_[1669] * x_in[23] + vX_[328] * x_in[22];
+ vX_[1440] = vX_[1441] * vX_[1089];
+ vX_[1349] = 0.207 * x_in[20] + x_in[21];
+ vX_[1436] = vX_[1198] * vX_[1349];
+ vX_[1332] = vX_[1198] * vX_[1441];
+ vX_[1328] = vX_[278] * vX_[1198] + vX_[297] * vX_[1441];
+ vX_[847] = vX_[1327] + x_in[28];
+ vX_[1194] = vX_[1328] * vX_[847];
+ vX_[699] = vX_[847] * vX_[847];
+ vX_[1190] = vX_[250] * vX_[1198] + vX_[278] * vX_[1441];
+ vX_[1088] = vX_[1190] * vX_[1190];
+ vX_[1084] = vX_[254] * vX_[1190] + vX_[251] * vX_[1328];
+ vX_[595] = vX_[331] * x_in[20] + vX_[329] * x_in[19] + vX_[368] * x_in[18] + vX_[328] * x_in[23] + vX_[249] * x_in[22];
+ vX_[957] = 0.08 * vX_[1441] + vX_[595];
+ vX_[863] = -0.35 * vX_[1328] + vX_[957];
+ vX_[953] = vX_[847] + x_in[29];
+ vX_[846] = vX_[1229] * vX_[1349] + vX_[1319] * vX_[1089] + vX_[1274] * vX_[1327];
+ vX_[842] = vX_[698] * vX_[1349] + vX_[250] * vX_[1089] + vX_[299] * vX_[1327];
+ vX_[1516] = vX_[251] * vX_[846] + vX_[1276] * vX_[842] + vX_[1252] * vX_[847];
+ vX_[704] = vX_[1084] * vX_[863] - vX_[953] * vX_[1516];
+ vX_[611] = vX_[1516] * x_in[29];
+ vX_[700] = vX_[251] * vX_[1190] + vX_[253] * vX_[1328];
+ vX_[594] = 0 - vX_[700];
+ vX_[590] = vX_[594] * x_in[29];
+ vX_[588] = vX_[1103] * vX_[1240] + vX_[1243] * vX_[1233] + vX_[1248] * vX_[1109];
+ vX_[951] = vX_[1254] * vX_[1240] + vX_[1232] * vX_[1233] + vX_[1241] * vX_[1109];
+ vX_[242] = vX_[1081] * vX_[588] - vX_[1251] * vX_[951];
+ vX_[1109] = vX_[740] * vX_[1240] + vX_[1102] * vX_[1233] + vX_[1253] * vX_[1109];
+ vX_[1233] = vX_[1257] * vX_[951] - vX_[1081] * vX_[1109];
+ vX_[1240] = vX_[1251] * vX_[1109] - vX_[1257] * vX_[588];
+ vX_[1434] = vX_[253] * vX_[846] + vX_[251] * vX_[842] + vX_[256] * vX_[847];
+ vX_[1035] = vX_[700] * vX_[1516] - vX_[1084] * vX_[1434];
+ vX_[1642] = vX_[700] * vX_[953];
+ vX_[1351] = -8.81e-05 * vX_[704] + -8.81e-05 * vX_[611] + 0.026409 * vX_[590] - vX_[1258] * vX_[242] - vX_[1262] * vX_[1233] - vX_[1264] * vX_[1240] - vX_[1285] * vX_[1109] - vX_[1292] * vX_[588] - vX_[1297] * vX_[951] - 0.1104774 * vX_[1035] - 0.025713 * vX_[1642];
+ vX_[1082] = vX_[700] * vX_[863];
+ vX_[1663] = vX_[953] * vX_[1434];
+ vX_[1273] = vX_[1084] * vX_[953];
+ vX_[1234] = 0 - vX_[1434];
+ vX_[1636] = vX_[1234] * x_in[29];
+ vX_[1518] = vX_[1084] * x_in[29];
+ vX_[1638] = 0.0004405 * vX_[1035] + -8.81e-05 * (vX_[1082] - vX_[1663]) + -0.000227999999999999 * vX_[1273] + 8.81e-05 * vX_[1636] + 0.000468 * vX_[1518] - vX_[1267] * vX_[242] - vX_[1269] * vX_[1233] - vX_[1271] * vX_[1240] - vX_[1305] * vX_[1109] - vX_[1312] * vX_[588] - vX_[1317] * vX_[951];
+ vX_[1578] = vX_[1084] * vX_[1084];
+ vX_[526] = vX_[700] * vX_[700];
+ vX_[1035] = 0.881 * vX_[1035] + 0.1104774 * vX_[1642] + 0.0004405 * vX_[1273] + -0.1104774 * vX_[590] + 0.0004405 * vX_[1518] - vX_[328] * vX_[1109] - vX_[249] * vX_[588] - -8.81e-05 * (vX_[1578] + vX_[526]);
+ vX_[1624] = 0 - vX_[1190];
+ vX_[1622] = vX_[1624] * x_in[28];
+ vX_[1620] = vX_[1328] * x_in[28];
+ vX_[1671] = 0 - vX_[842];
+ vX_[1672] = vX_[1671] * x_in[28];
+ vX_[1673] = vX_[846] * x_in[28];
+ vX_[1674] = vX_[847] * vX_[842];
+ vX_[1675] = vX_[1190] * vX_[957];
+ vX_[1676] = vX_[1190] * vX_[1328];
+ vX_[1677] = vX_[1190] * vX_[847];
+ vX_[1678] = vX_[700] * vX_[1084];
+ vX_[1679] = 0.1104774 * (vX_[1663] - vX_[1082]) + 0.025941 * vX_[1678] - vX_[328] * vX_[242] - vX_[249] * vX_[1233] - vX_[1105] * vX_[1109] - vX_[1230] * vX_[588] - vX_[1235] * vX_[951] - 0.0004405 * vX_[704];
+ vX_[1680] = x_in[41] - vX_[1679];
+ vX_[1681] = vX_[953] * vX_[953];
+ vX_[526] = -0.881 * (vX_[1082] - vX_[1663]) + 0.1104774 * vX_[1678] + -8.81e-05 * vX_[1273] + 0.414812462825713 * vX_[1636] + 0.00185880198235362 * vX_[611] + 8.81e-05 * vX_[1518] + (0.1104774 * vX_[1680]) / 0.026181 - vX_[1258] * vX_[1109] - vX_[1263] * vX_[588] - vX_[1265] * vX_[951] - 0.0004405 * (vX_[1681] + vX_[526]);
+ vX_[1681] = 0.881 * vX_[704] + -8.81e-05 * vX_[1642] + 0.0004405 * vX_[1678] + 0.00185880198235362 * vX_[1636] + 0.880992588508842 * vX_[611] + -8.81e-05 * vX_[590] + (-0.0004405 * vX_[1680]) / 0.026181 - vX_[1267] * vX_[1109] - vX_[1269] * vX_[588] - vX_[1271] * vX_[951] - 0.1104774 * (vX_[1681] + vX_[1578]);
+ vX_[1678] = vX_[1328] * vX_[957] - vX_[847] * vX_[846];
+ vX_[1578] = vX_[1328] * vX_[1328];
+ vX_[1680] = 0.47422804 * (vX_[1674] - vX_[1675]) + 0.081641 * vX_[1676] + 2.1e-05 * vX_[1677] + (0.026181 * vX_[1680]) / 0.026181 + vX_[1679] + vX_[1252] * vX_[526] + vX_[256] * vX_[1681] - -0.0825825 * vX_[1678] - 0.000102 * vX_[1194] - 0.007418 * (vX_[1578] - vX_[1088]);
+ vX_[1679] = x_in[40] - vX_[1680];
+ vX_[1636] = (vX_[281] * vX_[1679]) / vX_[274];
+ vX_[1642] = vX_[1190] * vX_[846] - vX_[1328] * vX_[842];
+ vX_[590] = 0.007418 * vX_[1194] + 0.000102 * (vX_[699] - vX_[1088]) + vX_[251] * vX_[1351] + vX_[253] * vX_[1638] + -0.35 * vX_[1035] + vX_[304] * vX_[1622] + vX_[296] * vX_[1620] + vX_[282] * vX_[1672] + vX_[288] * vX_[1673] + vX_[1636] - 0.47422804 * vX_[1642] - 0.084376 * vX_[1677] - 2.1e-05 * vX_[1676];
+ vX_[611] = (vX_[262] * vX_[1679]) / vX_[274];
+ vX_[704] = 0.002735 * vX_[1194] + -0.0825825 * vX_[1642] + 0.000102 * vX_[1676] + vX_[254] * vX_[1351] + vX_[251] * vX_[1638] + vX_[296] * vX_[1622] + vX_[303] * vX_[1620] + vX_[276] * vX_[1672] + vX_[287] * vX_[1673] + vX_[611] - 0.007418 * vX_[1677] - 2.1e-05 * (vX_[699] - vX_[1578]);
+ vX_[1642] = 0.47422804 * vX_[1677] + 3.146 * vX_[1642] + -0.0825825 * vX_[1194] + vX_[1035] + vX_[271] * vX_[1622] + vX_[284] * vX_[1620];
+ vX_[1677] = vX_[1327] * vX_[1441];
+ vX_[1035] = vX_[1327] * vX_[1327];
+ vX_[1194] = vX_[1198] * vX_[1198];
+ vX_[1518] = 0.009466 * vX_[1444] + 0.1466472 * (vX_[1440] - vX_[1436]) + -5.1e-05 * vX_[1332] + vX_[297] * vX_[590] + vX_[278] * vX_[704] + 0.08 * vX_[1642] - 0.022734 * vX_[1677] - 3.6e-05 * (vX_[1035] - vX_[1194]);
+ vX_[1273] = x_in[39] - vX_[1518];
+ vX_[1663] = (vX_[324] * vX_[1273]) / vX_[324];
+ vX_[1082] = 0 - vX_[1198];
+ vX_[1682] = vX_[1082] * x_in[27];
+ vX_[1683] = vX_[1327] * x_in[27];
+ vX_[1684] = 0 - vX_[1089];
+ vX_[1685] = vX_[1684] * x_in[27];
+ vX_[1686] = vX_[595] * x_in[27];
+ vX_[1687] = (vX_[337] * vX_[1273]) / vX_[324];
+ vX_[1642] = 0.1466472 * vX_[1444] + -3.44 * (vX_[1436] - vX_[1440]) + -0.5824264 * vX_[1677] + vX_[1642] + vX_[361] * vX_[1682] + vX_[351] * vX_[1683] + vX_[353] * vX_[1685] + vX_[339] * vX_[1686] + vX_[1687];
+ vX_[1688] = vX_[1327] * vX_[1349] - vX_[1441] * vX_[595];
+ vX_[1689] = (vX_[272] * vX_[1679]) / vX_[274];
+ vX_[1675] = -3.146 * (vX_[1675] - vX_[1674]) + 0.47422804 * vX_[1676] + vX_[251] * vX_[526] + vX_[253] * vX_[1681] + vX_[282] * vX_[1622] + vX_[276] * vX_[1620] + vX_[308] * vX_[1672] + vX_[310] * vX_[1673] + vX_[1689] - -0.0825825 * (vX_[699] + vX_[1088]);
+ vX_[1674] = (vX_[285] * vX_[1679]) / vX_[274];
+ vX_[1578] = 3.146 * vX_[1678] + -0.0825825 * vX_[1676] + vX_[1276] * vX_[526] + vX_[251] * vX_[1681] + vX_[288] * vX_[1622] + vX_[287] * vX_[1620] + vX_[310] * vX_[1672] + vX_[309] * vX_[1673] + vX_[1674] - 0.47422804 * (vX_[699] + vX_[1578]);
+ vX_[1678] = (vX_[322] * vX_[1273]) / vX_[324];
+ vX_[1676] = vX_[1441] * vX_[1441];
+ vX_[699] = 3.44 * vX_[1688] + -0.5824264 * vX_[1332] + vX_[1319] * vX_[1675] + vX_[250] * vX_[1578] + vX_[350] * vX_[1682] + vX_[326] * vX_[1683] + vX_[339] * vX_[1685] + vX_[365] * vX_[1686] + vX_[1678] - 0.1466472 * (vX_[1676] + vX_[1035]);
+ vX_[1088] = (vX_[445] * vX_[1087]) / vX_[445];
+ vX_[1690] = x_in[18] * x_in[20];
+ vX_[1691] = x_in[20] * x_in[20];
+ vX_[1692] = x_in[19] * x_in[19];
+ vX_[1518] = (-0.0053433 * vX_[1644] + 2.0678571 * (vX_[619] - vX_[1353]) + 0.473273 * vX_[1193] + 0.190812 * vX_[1095] + vX_[702] + vX_[853] + vX_[136] * vX_[977] + vX_[95] * vX_[1200] + vX_[248] * vX_[1354] + vX_[206] * vX_[1522] + -1 * (vX_[864] + vX_[872]) + vX_[1663] + vX_[1518] + vX_[368] * vX_[1642] + vX_[327] * vX_[699] + vX_[1573] * vX_[1209] + vX_[448] * vX_[602] + -1 * (vX_[703] + vX_[1088]) - -0.00571 * vX_[1690] - 0.012668 * (vX_[1691] - vX_[1692])) / vX_[583];
+ vX_[864] = 0.207 * vX_[1357];
+ vX_[853] = vX_[451] * vX_[1439] + vX_[1479] * vX_[452] + vX_[370] * vX_[867] + vX_[1091] * vX_[453];
+ vX_[703] = vX_[864] * vX_[486] - vX_[853] * vX_[469];
+ vX_[1693] = vX_[864] * vX_[469] - vX_[853] * vX_[487];
+ vX_[1694] = -1 * vX_[744];
+ vX_[1695] = vX_[1694] * vX_[487] - vX_[864] * vX_[461];
+ vX_[1696] = vX_[1694] * vX_[461] - vX_[864] * vX_[475];
+ vX_[539] = vX_[538] * vX_[1694] + vX_[1695] * vX_[449] - (vX_[539] * vX_[864] + vX_[1696] * vX_[474]);
+ vX_[537] = vX_[533] * vX_[864] + vX_[536] * vX_[864] + vX_[703] * vX_[474] - vX_[537] * vX_[853] - (vX_[488] * vX_[853] + vX_[1693] * vX_[454]) - vX_[539];
+ vX_[536] = vX_[853] * vX_[475] - vX_[1694] * vX_[476];
+ vX_[486] = vX_[853] * vX_[476] - vX_[1694] * vX_[486];
+ vX_[544] = vX_[542] * vX_[853] + vX_[477] * vX_[853] + vX_[536] * vX_[454] - vX_[544] * vX_[1694] - (vX_[545] * vX_[1694] + vX_[486] * vX_[449]) - vX_[539];
+ vX_[542] = vX_[853] * vX_[461];
+ vX_[533] = vX_[1694] * vX_[469];
+ vX_[538] = vX_[542] - vX_[533];
+ vX_[853] = vX_[483] * vX_[853] + vX_[434] * vX_[864] + vX_[545] * vX_[864] + vX_[486] * vX_[474] - vX_[447] * vX_[853] - vX_[458] * vX_[1694] - (vX_[471] * vX_[853] + vX_[538] * vX_[454]);
+ vX_[545] = vX_[370] * vX_[853] + vX_[1091] * vX_[576];
+ vX_[579] = vX_[578] * vX_[1479] + (vX_[451] * vX_[544] + vX_[1479] * vX_[546] + vX_[545]) * vX_[451] + vX_[579] * vX_[1091] + (vX_[451] * vX_[853] + vX_[1479] * vX_[576] + vX_[370] * vX_[537] + vX_[1091] * vX_[541]) * vX_[370];
+ vX_[853] = vX_[370] * vX_[544] + vX_[1091] * vX_[546] + vX_[450] * vX_[853] + vX_[1357] * vX_[576];
+ vX_[545] = vX_[545] + vX_[450] * vX_[537] + vX_[1357] * vX_[541];
+ vX_[541] = vX_[581] * vX_[1091] + vX_[853] * vX_[370] + vX_[577] * vX_[1357] + vX_[545] * vX_[450];
+ vX_[544] = vX_[537] + vX_[544] + vX_[539] - vX_[579] - vX_[541];
+ vX_[1196] = (vX_[1573] * vX_[956] + vX_[871] * vX_[1209] + vX_[448] * vX_[1458] + vX_[744] * vX_[602] + -1 * (vX_[1196] + (vX_[445] * vX_[1146]) / vX_[445]) - vX_[1518] * vX_[544]) / vX_[583];
+ vX_[537] = vX_[864] * vX_[476];
+ vX_[542] = vX_[537] - vX_[542];
+ vX_[488] = vX_[483] * vX_[864] + vX_[462] * vX_[864] + vX_[542] * vX_[474] - vX_[472] * vX_[1694] - (vX_[488] * vX_[1694] + vX_[1693] * vX_[449]);
+ vX_[1694] = vX_[447] * vX_[1694] + vX_[471] * vX_[1694] + vX_[538] * vX_[449] - vX_[473] * vX_[864] - (vX_[477] * vX_[864] + vX_[536] * vX_[474]);
+ vX_[864] = vX_[370] * vX_[488] + vX_[1091] * vX_[489] + vX_[450] * vX_[1694] + vX_[1357] * vX_[478];
+ vX_[477] = x_in[19] * x_in[23] - x_in[20] * x_in[22];
+ vX_[471] = x_in[18] * x_in[18];
+ vX_[462] = (vX_[42] * vX_[600]) / vX_[42];
+ vX_[576] = (vX_[128] * vX_[876]) / vX_[92];
+ vX_[546] = vX_[1148] * vX_[1210] - vX_[1113] * vX_[1094];
+ vX_[735] = 0.5824264 * vX_[735] + -3.6e-05 * vX_[723] + -0.022734 * (vX_[607] - vX_[1448]) + vX_[462] + vX_[9] + vX_[789] * vX_[603] + vX_[67] * vX_[965] + vX_[493] * vX_[696] + vX_[548] * vX_[686] + vX_[129] * vX_[606] + vX_[118] * vX_[599] + vX_[576] - 0.1466472 * vX_[546] - -0.123672 * vX_[1360] - -5.1e-05 * vX_[130];
+ vX_[9] = (vX_[87] * vX_[876]) / vX_[92];
+ vX_[607] = -0.133138 * vX_[723] + 0.5824264 * (vX_[1337] - vX_[1393]) + -0.022734 * vX_[130] + vX_[46] * vX_[939] + vX_[13] * vX_[852] + vX_[548] * vX_[696] + vX_[91] * vX_[686] + vX_[119] * vX_[606] + vX_[94] * vX_[599] + vX_[9] - -3.6e-05 * vX_[1360] - -5.1e-05 * (vX_[607] - vX_[987]);
+ vX_[723] = (vX_[156] * vX_[952]) / vX_[156];
+ vX_[1337] = (vX_[240] * vX_[1195]) / vX_[203];
+ vX_[1393] = vX_[973] * vX_[1336] - vX_[660] * vX_[657];
+ vX_[1358] = -0.5824264 * vX_[1358] + 3.6e-05 * vX_[592] + 0.022734 * (vX_[10] - vX_[710]) + vX_[790] * vX_[701] + vX_[177] * vX_[1442] + -1 * (vX_[589] + vX_[723]) + vX_[507] * vX_[996] + vX_[557] * vX_[1092] + vX_[241] * vX_[958] + vX_[230] * vX_[1542] + vX_[1337] - 0.1466472 * vX_[1393] - -0.123672 * vX_[1435] - -5.1e-05 * vX_[658];
+ vX_[589] = (vX_[198] * vX_[1195]) / vX_[203];
+ vX_[10] = -0.133138 * vX_[592] + -0.5824264 * (vX_[624] - vX_[601]) + 0.022734 * vX_[658] + vX_[160] * vX_[1650] + vX_[139] * vX_[8] + vX_[557] * vX_[996] + vX_[202] * vX_[1092] + vX_[231] * vX_[958] + vX_[205] * vX_[1542] + vX_[589] - 3.6e-05 * vX_[1435] - -5.1e-05 * (vX_[10] - vX_[721]);
+ vX_[592] = (vX_[274] * vX_[1679]) / vX_[274];
+ vX_[601] = (vX_[360] * vX_[1273]) / vX_[324];
+ vX_[624] = vX_[1198] * vX_[595] - vX_[1327] * vX_[1089];
+ vX_[1688] = -0.5824264 * vX_[1688] + 3.6e-05 * vX_[1677] + 0.022734 * (vX_[1676] - vX_[1194]) + vX_[592] + vX_[1680] + vX_[1274] * vX_[1675] + vX_[299] * vX_[1578] + vX_[521] * vX_[1682] + vX_[566] * vX_[1683] + vX_[361] * vX_[1685] + vX_[350] * vX_[1686] + vX_[601] - 0.1466472 * vX_[624] - -0.123672 * vX_[1332] - -5.1e-05 * vX_[1444];
+ vX_[1680] = (vX_[319] * vX_[1273]) / vX_[324];
+ vX_[1676] = -0.133138 * vX_[1677] + -0.5824264 * (vX_[1436] - vX_[1440]) + 0.022734 * vX_[1444] + vX_[278] * vX_[590] + vX_[250] * vX_[704] + vX_[566] * vX_[1682] + vX_[323] * vX_[1683] + vX_[351] * vX_[1685] + vX_[326] * vX_[1686] + vX_[1680] - 3.6e-05 * vX_[1332] - -5.1e-05 * (vX_[1676] - vX_[1035]);
+ vX_[1677] = (2.0678571 * vX_[477] + -0.00571 * vX_[1193] + 0.190812 * (vX_[1691] - vX_[471]) + vX_[26] * vX_[735] + vX_[96] * vX_[607] + vX_[97] * vX_[977] + vX_[1569] * vX_[1200] + vX_[138] * vX_[1358] + vX_[209] * vX_[10] + vX_[210] * vX_[1354] + vX_[1570] * vX_[1522] + vX_[249] * vX_[1688] + vX_[328] * vX_[1676] + vX_[329] * vX_[1642] + vX_[1571] * vX_[699] + vX_[370] * vX_[1338] + vX_[451] * vX_[1352] + vX_[452] * vX_[1209] + vX_[1572] * vX_[602] - -1.1915559 * vX_[1644] - 4.847485 * vX_[1690] - 0.012668 * vX_[1095] - vX_[1566] * vX_[1518]) / vX_[580];
+ vX_[1436] = (vX_[864] - vX_[1567] * vX_[544]) / vX_[583];
+ vX_[579] = vX_[539] + vX_[579] - (vX_[1566] * vX_[1436] + vX_[864] * vX_[1567]);
+ vX_[1440] = (vX_[370] * vX_[1112] + vX_[1091] * vX_[1338] + vX_[451] * vX_[1432] + vX_[1479] * vX_[1352] + vX_[452] * vX_[956] + vX_[1439] * vX_[1209] + vX_[1572] * vX_[1458] + vX_[615] * vX_[602] - (vX_[1566] * vX_[1196] + vX_[864] * vX_[1518]) - vX_[1677] * vX_[579]) / vX_[580];
+ vX_[545] = vX_[581] * vX_[1479] + vX_[853] * vX_[451] + vX_[577] * vX_[1091] + vX_[545] * vX_[370];
+ vX_[1694] = 0 - (vX_[370] * vX_[1694] + vX_[1091] * vX_[478]) - (vX_[451] * vX_[488] + vX_[1479] * vX_[489]);
+ vX_[488] = vX_[545] - (vX_[490] * vX_[1436] + vX_[1694] * vX_[1567]);
+ vX_[489] = (vX_[113] * vX_[876]) / vX_[92];
+ vX_[546] = 3.44 * vX_[546] + 0.1466472 * vX_[1360] + vX_[746] * vX_[603] + vX_[613] * vX_[965] + vX_[104] * vX_[696] + vX_[81] * vX_[686] + vX_[122] * vX_[606] + vX_[115] * vX_[599] + vX_[489] - 0.5824264 * (vX_[987] + vX_[1448]);
+ vX_[1448] = (vX_[225] * vX_[1195]) / vX_[203];
+ vX_[1393] = 3.44 * vX_[1393] + 0.1466472 * vX_[1435] + vX_[139] * vX_[701] + vX_[159] * vX_[1442] + vX_[216] * vX_[996] + vX_[192] * vX_[1092] + vX_[234] * vX_[958] + vX_[227] * vX_[1542] + vX_[1448] - -0.5824264 * (vX_[721] + vX_[710]);
+ vX_[710] = (vX_[345] * vX_[1273]) / vX_[324];
+ vX_[624] = 3.44 * vX_[624] + 0.1466472 * vX_[1332] + vX_[1229] * vX_[1675] + vX_[698] * vX_[1578] + vX_[336] * vX_[1682] + vX_[313] * vX_[1683] + vX_[354] * vX_[1685] + vX_[347] * vX_[1686] + vX_[710] - -0.5824264 * (vX_[1035] + vX_[1194]);
+ vX_[1194] = (vX_[467] * vX_[1087]) / vX_[445];
+ vX_[1110] = 3.44 * vX_[1110] + 0.1466472 * vX_[1086] + vX_[371] * vX_[1097] + vX_[398] * vX_[1359] + vX_[458] * vX_[1213] + vX_[434] * vX_[1151] + vX_[476] * vX_[955] + vX_[469] * vX_[1115] + vX_[1194] - 0.5824264 * (vX_[1201] + vX_[1339]);
+ vX_[1201] = (-1.1915559 * (vX_[1353] - vX_[619]) + 4.374212 * vX_[1095] + 0.012668 * vX_[1690] + vX_[96] * vX_[735] + vX_[98] * vX_[607] + 0.207 * vX_[546] + vX_[99] * vX_[977] + vX_[834] * vX_[1200] + vX_[208] * vX_[1358] + vX_[138] * vX_[10] + 0.207 * vX_[1393] + vX_[211] * vX_[1354] + vX_[998] * vX_[1522] + vX_[328] * vX_[1688] + vX_[330] * vX_[1676] + 0.207 * vX_[624] + vX_[331] * vX_[1642] + vX_[1318] * vX_[699] + vX_[450] * vX_[1338] + vX_[370] * vX_[1352] + 0.207 * vX_[1110] + vX_[453] * vX_[1209] + vX_[1481] * vX_[602] - -0.0053433 * vX_[477] - 0.190812 * vX_[1193] - -0.00571 * (vX_[1692] - vX_[471]) - vX_[1568] * vX_[1677] - vX_[490] * vX_[1518]) / vX_[582];
+ vX_[1086] = (vX_[1694] - vX_[584] * vX_[544]) / vX_[583];
+ vX_[545] = (vX_[545] - (vX_[1566] * vX_[1086] + vX_[864] * vX_[584]) - vX_[1565] * vX_[579]) / vX_[580];
+ vX_[541] = vX_[539] + vX_[541] - (vX_[1568] * vX_[545] + vX_[488] * vX_[1565]) - (vX_[490] * vX_[1086] + vX_[1694] * vX_[584]);
+ vX_[1352] = (vX_[450] * vX_[1112] + vX_[1357] * vX_[1338] + vX_[370] * vX_[1432] + vX_[1091] * vX_[1352] + 0.207 * vX_[362] + vX_[453] * vX_[956] + vX_[867] * vX_[1209] + vX_[1481] * vX_[1458] + vX_[854] * vX_[602] - (vX_[1568] * vX_[1440] + vX_[488] * vX_[1677]) - (vX_[490] * vX_[1196] + vX_[1694] * vX_[1518]) - vX_[1201] * vX_[541]) / vX_[582];
+ vX_[537] = vX_[533] - vX_[537];
+ vX_[542] = vX_[542] - vX_[537];
+ vX_[533] = vX_[451] * vX_[536] + vX_[1479] * vX_[1058] + vX_[370] * vX_[542] + vX_[1091] * vX_[813];
+ vX_[538] = vX_[538] - vX_[537];
+ vX_[1432] = vX_[451] * vX_[538] + vX_[1479] * vX_[470] + vX_[370] * vX_[1693] + vX_[1091] * vX_[553];
+ vX_[1338] = vX_[1585] * vX_[1091] + vX_[533] * vX_[370] + vX_[1586] * vX_[1479] + vX_[1432] * vX_[451] + vX_[537];
+ vX_[1696] = -1 * (vX_[1696] + vX_[703]);
+ vX_[1695] = -1 * (vX_[1695] + vX_[486]);
+ vX_[703] = - vX_[703];
+ vX_[1112] = vX_[370] * vX_[703] + vX_[1091] * vX_[1606] + vX_[450] * vX_[486] + vX_[1357] * vX_[1608];
+ vX_[539] = vX_[1607] * vX_[1091] + vX_[1696] * vX_[370] + vX_[1609] * vX_[1479] + vX_[1695] * vX_[451] - vX_[1112];
+ vX_[1339] = vX_[1338] - (vX_[1611] * vX_[1436] + vX_[539] * vX_[1567]);
+ vX_[538] = vX_[370] * vX_[538] + vX_[1091] * vX_[470] + vX_[450] * vX_[1693] + vX_[1357] * vX_[553];
+ vX_[542] = vX_[370] * vX_[536] + vX_[1091] * vX_[1058] + vX_[450] * vX_[542] + vX_[1357] * vX_[813];
+ vX_[536] = vX_[1298] * vX_[1479] + vX_[538] * vX_[451] + vX_[1574] * vX_[1091] + vX_[542] * vX_[370];
+ vX_[813] = vX_[536] - (vX_[1587] * vX_[545] + vX_[1339] * vX_[1565]) - (vX_[1611] * vX_[1086] + vX_[539] * vX_[584]);
+ vX_[1058] = vX_[1112] - (vX_[1630] * vX_[1436] + vX_[537] * vX_[1567]);
+ vX_[703] = vX_[451] * vX_[703] + vX_[1479] * vX_[1606] + vX_[370] * vX_[486] + vX_[1091] * vX_[1608];
+ vX_[486] = - vX_[703];
+ vX_[1606] = vX_[486] - (vX_[1610] * vX_[545] + vX_[1058] * vX_[1565]) - (vX_[1630] * vX_[1086] + vX_[537] * vX_[584]);
+ vX_[1110] = (53.433 * vX_[477] + 2.0678571 * vX_[1690] + -0.0053433 * vX_[1095] + vX_[546] + -1 * vX_[1393] + vX_[624] + -1 * vX_[1110] - -1.1915559 * (vX_[1691] + vX_[1692]) - vX_[1610] * vX_[1677] - vX_[1630] * vX_[1518] - vX_[1627] * vX_[1201]) / vX_[1657];
+ vX_[624] = vX_[1091] * vX_[461];
+ vX_[1653] = vX_[1652] * vX_[1479] + (vX_[1479] * vX_[1632] + vX_[624]) * vX_[451] + vX_[1653] * vX_[1091] + (vX_[1479] * vX_[461] + vX_[1091] * vX_[1631]) * vX_[370];
+ vX_[1632] = vX_[1091] * vX_[1632] + vX_[1357] * vX_[461];
+ vX_[624] = vX_[624] + vX_[1357] * vX_[1631];
+ vX_[1631] = vX_[1655] * vX_[1091] + vX_[1632] * vX_[370] + vX_[1651] * vX_[1357] + vX_[624] * vX_[450];
+ vX_[1652] = (vX_[537] - vX_[1593] * vX_[544]) / vX_[583];
+ vX_[1112] = (vX_[1112] - (vX_[1566] * vX_[1652] + vX_[864] * vX_[1593]) - vX_[1619] * vX_[579]) / vX_[580];
+ vX_[486] = (vX_[486] - (vX_[1568] * vX_[1112] + vX_[488] * vX_[1619]) - (vX_[490] * vX_[1652] + vX_[1694] * vX_[1593]) - vX_[1628] * vX_[541]) / vX_[582];
+ vX_[1393] = 0 - vX_[1653] - vX_[1631] - (vX_[1610] * vX_[1112] + vX_[1058] * vX_[1619]) - (vX_[1630] * vX_[1652] + vX_[537] * vX_[1593]) - (vX_[1627] * vX_[486] + vX_[1606] * vX_[1628]);
+ vX_[362] = (-1 * vX_[362] - (vX_[1610] * vX_[1440] + vX_[1058] * vX_[1677]) - (vX_[1630] * vX_[1196] + vX_[537] * vX_[1518]) - (vX_[1627] * vX_[1352] + vX_[1606] * vX_[1201]) - vX_[1110] * vX_[1393]) / vX_[1657];
+ vX_[546] = vX_[1091] * vX_[1605] + vX_[1357] * vX_[469];
+ vX_[477] = vX_[546] - (vX_[1587] * vX_[1112] + vX_[1339] * vX_[1619]) - (vX_[1611] * vX_[1652] + vX_[539] * vX_[1593]) - (vX_[1575] * vX_[486] + vX_[813] * vX_[1628]);
+ vX_[1691] = (-53.433 * (vX_[619] - vX_[1353]) + -1.1915559 * vX_[1095] + 2.0678571 * vX_[1193] + vX_[26] * vX_[977] + vX_[96] * vX_[1200] + vX_[1615] * vX_[1354] + vX_[1616] * vX_[1522] + vX_[249] * vX_[1642] + vX_[328] * vX_[699] + vX_[1617] * vX_[1209] + vX_[1618] * vX_[602] - -0.0053433 * (vX_[1691] + vX_[471]) - vX_[1587] * vX_[1677] - vX_[1611] * vX_[1518] - vX_[1575] * vX_[1201] - vX_[1629] * vX_[1110]) / vX_[1654];
+ vX_[1095] = (vX_[539] - vX_[1612] * vX_[544]) / vX_[583];
+ vX_[1338] = (vX_[1338] - (vX_[1566] * vX_[1095] + vX_[864] * vX_[1612]) - vX_[1613] * vX_[579]) / vX_[580];
+ vX_[536] = (vX_[536] - (vX_[1568] * vX_[1338] + vX_[488] * vX_[1613]) - (vX_[490] * vX_[1095] + vX_[1694] * vX_[1612]) - vX_[1614] * vX_[541]) / vX_[582];
+ vX_[546] = (vX_[546] - (vX_[1610] * vX_[1338] + vX_[1058] * vX_[1613]) - (vX_[1630] * vX_[1095] + vX_[537] * vX_[1612]) - (vX_[1627] * vX_[536] + vX_[1606] * vX_[1614]) - vX_[1599] * vX_[1393]) / vX_[1657];
+ vX_[1653] = vX_[1653] - (vX_[1587] * vX_[1338] + vX_[1339] * vX_[1613]) - (vX_[1611] * vX_[1095] + vX_[539] * vX_[1612]) - (vX_[1575] * vX_[536] + vX_[813] * vX_[1614]) - (vX_[1629] * vX_[546] + vX_[477] * vX_[1599]);
+ vX_[1353] = (vX_[1617] * vX_[956] + vX_[1662] * vX_[1209] + vX_[1618] * vX_[1458] + vX_[1335] * vX_[602] - (vX_[1587] * vX_[1440] + vX_[1339] * vX_[1677]) - (vX_[1611] * vX_[1196] + vX_[539] * vX_[1518]) - (vX_[1575] * vX_[1352] + vX_[813] * vX_[1201]) - (vX_[1629] * vX_[362] + vX_[477] * vX_[1110]) - vX_[1691] * vX_[1653]) / vX_[1654];
+ vX_[1432] = vX_[1586] * vX_[1091] + vX_[1432] * vX_[370] + vX_[1585] * vX_[1357] + vX_[533] * vX_[450];
+ vX_[703] = vX_[1607] * vX_[1357] + vX_[1696] * vX_[450] + vX_[1609] * vX_[1091] + vX_[1695] * vX_[370] + vX_[703];
+ vX_[1695] = vX_[1432] - (vX_[1626] * vX_[1436] + vX_[703] * vX_[1567]);
+ vX_[542] = vX_[1574] * vX_[1357] + vX_[542] * vX_[450] + vX_[1298] * vX_[1091] + vX_[538] * vX_[370] + vX_[537];
+ vX_[538] = vX_[542] - (vX_[748] * vX_[545] + vX_[1695] * vX_[1565]) - (vX_[1626] * vX_[1086] + vX_[703] * vX_[584]);
+ vX_[1605] = 0 - vX_[1091] * vX_[469] - vX_[1479] * vX_[1605];
+ vX_[1574] = vX_[1605] - (vX_[748] * vX_[1112] + vX_[1695] * vX_[1619]) - (vX_[1626] * vX_[1652] + vX_[703] * vX_[1593]) - (vX_[484] * vX_[486] + vX_[538] * vX_[1628]);
+ vX_[624] = vX_[1655] * vX_[1479] + vX_[1632] * vX_[451] + vX_[1651] * vX_[1091] + vX_[624] * vX_[370];
+ vX_[1632] = vX_[624] - (vX_[748] * vX_[1338] + vX_[1695] * vX_[1613]) - (vX_[1626] * vX_[1095] + vX_[703] * vX_[1612]) - (vX_[484] * vX_[536] + vX_[538] * vX_[1614]) - (vX_[1664] * vX_[546] + vX_[1574] * vX_[1599]);
+ vX_[471] = (53.433 * vX_[1644] + -1.1915559 * vX_[1690] + -0.0053433 * vX_[1193] + vX_[96] * vX_[977] + vX_[1667] * vX_[1200] + vX_[208] * vX_[1354] + vX_[1668] * vX_[1522] + vX_[328] * vX_[1642] + vX_[1669] * vX_[699] + vX_[450] * vX_[1209] + vX_[1670] * vX_[602] - 2.0678571 * (vX_[1692] + vX_[471]) - vX_[748] * vX_[1677] - vX_[1626] * vX_[1518] - vX_[484] * vX_[1201] - vX_[1664] * vX_[1110] - vX_[1584] * vX_[1691]) / vX_[1656];
+ vX_[544] = (vX_[703] - vX_[1658] * vX_[544]) / vX_[583];
+ vX_[1432] = (vX_[1432] - (vX_[1566] * vX_[544] + vX_[864] * vX_[1658]) - vX_[1659] * vX_[579]) / vX_[580];
+ vX_[542] = (vX_[542] - (vX_[1568] * vX_[1432] + vX_[488] * vX_[1659]) - (vX_[490] * vX_[544] + vX_[1694] * vX_[1658]) - vX_[1660] * vX_[541]) / vX_[582];
+ vX_[1605] = (vX_[1605] - (vX_[1610] * vX_[1432] + vX_[1058] * vX_[1659]) - (vX_[1630] * vX_[544] + vX_[537] * vX_[1658]) - (vX_[1627] * vX_[542] + vX_[1606] * vX_[1660]) - vX_[1665] * vX_[1393]) / vX_[1657];
+ vX_[624] = (vX_[624] - (vX_[1587] * vX_[1432] + vX_[1339] * vX_[1659]) - (vX_[1611] * vX_[544] + vX_[539] * vX_[1658]) - (vX_[1575] * vX_[542] + vX_[813] * vX_[1660]) - (vX_[1629] * vX_[1605] + vX_[477] * vX_[1665]) - vX_[1666] * vX_[1653]) / vX_[1654];
+ vX_[1632] = (vX_[450] * vX_[956] + vX_[1357] * vX_[1209] + vX_[1670] * vX_[1458] + vX_[571] * vX_[602] - (vX_[748] * vX_[1440] + vX_[1695] * vX_[1677]) - (vX_[1626] * vX_[1196] + vX_[703] * vX_[1518]) - (vX_[484] * vX_[1352] + vX_[538] * vX_[1201]) - (vX_[1664] * vX_[362] + vX_[1574] * vX_[1110]) - (vX_[1584] * vX_[1353] + vX_[1632] * vX_[1691]) - vX_[471] * (vX_[1631] - (vX_[748] * vX_[1432] + vX_[1695] * vX_[1659]) - (vX_[1626] * vX_[544] + vX_[703] * vX_[1658]) - (vX_[484] * vX_[542] + vX_[538] * vX_[1660]) - (vX_[1664] * vX_[1605] + vX_[1574] * vX_[1665]) - (vX_[1584] * vX_[624] + vX_[1632] * vX_[1666]))) / vX_[1656];
+ jac[239] = - vX_[1632];
+ vX_[624] = vX_[1353] - (vX_[1666] * vX_[1632] + vX_[624] * vX_[471]);
+ jac[238] = - vX_[624];
+ vX_[1353] = vX_[1691] - vX_[1666] * vX_[471];
+ vX_[1605] = vX_[362] - (vX_[1665] * vX_[1632] + vX_[1605] * vX_[471]) - (vX_[1599] * vX_[624] + vX_[546] * vX_[1353]);
+ jac[237] = - vX_[1605];
+ vX_[546] = vX_[1110] - vX_[1665] * vX_[471] - vX_[1599] * vX_[1353];
+ vX_[542] = vX_[1352] - (vX_[1614] * vX_[624] + vX_[536] * vX_[1353]) - (vX_[1628] * vX_[1605] + vX_[486] * vX_[546]) - (vX_[1660] * vX_[1632] + vX_[542] * vX_[471]);
+ jac[236] = - vX_[542];
+ vX_[536] = vX_[1201] - vX_[1614] * vX_[1353] - vX_[1628] * vX_[546] - vX_[1660] * vX_[471];
+ vX_[1432] = vX_[1440] - (vX_[1619] * vX_[1605] + vX_[1112] * vX_[546]) - (vX_[1565] * vX_[542] + vX_[545] * vX_[536]) - (vX_[1613] * vX_[624] + vX_[1338] * vX_[1353]) - (vX_[1659] * vX_[1632] + vX_[1432] * vX_[471]);
+ jac[235] = - vX_[1432];
+ vX_[1338] = vX_[1677] - vX_[1619] * vX_[546] - vX_[1565] * vX_[536] - vX_[1613] * vX_[1353] - vX_[1659] * vX_[471];
+ jac[234] = vX_[584] * vX_[542] + vX_[1086] * vX_[536] + vX_[1567] * vX_[1432] + vX_[1436] * vX_[1338] + vX_[1593] * vX_[1605] + vX_[1652] * vX_[546] + vX_[1612] * vX_[624] + vX_[1095] * vX_[1353] + vX_[1658] * vX_[1632] + vX_[544] * vX_[471] - vX_[1196];
+ vX_[1432] = -1 * jac[234];
+ vX_[542] = 0 - vX_[536];
+ vX_[1605] = 0 - vX_[1338];
+ vX_[1330] = vX_[450] * jac[236] + vX_[1357] * vX_[542] + vX_[370] * jac[235] + vX_[1091] * vX_[1605] + vX_[1330];
+ vX_[1447] = vX_[370] * jac[236] + vX_[1091] * vX_[542] + vX_[451] * jac[235] + vX_[1479] * vX_[1605] + vX_[1447];
+ vX_[1479] = -1 * jac[237];
+ vX_[1091] = 0.207 * jac[236] + vX_[1479];
+ vX_[624] = vX_[584] * vX_[536] + vX_[1567] * vX_[1338] + vX_[1593] * vX_[546] + vX_[1612] * vX_[1353] + vX_[1658] * vX_[471] - vX_[1518];
+ vX_[1632] = 0 - vX_[471];
+ vX_[544] = 0 - vX_[1353];
+ vX_[1099] = vX_[1481] * jac[236] + vX_[854] * vX_[542] + vX_[1572] * jac[235] + vX_[615] * vX_[1605] + vX_[448] * jac[234] + vX_[744] * vX_[624] + vX_[1670] * jac[239] + vX_[571] * vX_[1632] + vX_[1618] * jac[238] + vX_[1335] * vX_[544] + vX_[1099];
+ jac[240] = (vX_[1146] - vX_[445] * vX_[1432] - vX_[482] * vX_[1330] - vX_[440] * vX_[1447] - vX_[467] * vX_[1091] - vX_[459] * (vX_[453] * jac[236] + vX_[867] * vX_[542] + vX_[452] * jac[235] + vX_[1439] * vX_[1605] + vX_[1573] * jac[234] + vX_[871] * vX_[624] + vX_[450] * jac[239] + vX_[1357] * vX_[1632] + vX_[1617] * jac[238] + vX_[1662] * vX_[544] + vX_[787]) - vX_[443] * vX_[1099]) / vX_[445];
+ vX_[1146] = -1 * vX_[1330];
+ vX_[787] = vX_[1432] + jac[240];
+ vX_[1457] = vX_[371] * vX_[1091] + vX_[1562] * vX_[1099] + vX_[1275] * vX_[1330] + vX_[1457];
+ vX_[1099] = vX_[398] * vX_[1091] + vX_[371] * vX_[1099] + vX_[419] * vX_[1330] + vX_[1456];
+ jac[241] = (vX_[1212] - vX_[395] * vX_[1146] - vX_[402] * (vX_[371] * vX_[787] + vX_[399] * vX_[1447] + vX_[1362]) - vX_[383] * (vX_[398] * vX_[787] + vX_[371] * vX_[1447] + vX_[1480]) - vX_[393] * vX_[1457] - vX_[406] * vX_[1099]) / vX_[395];
+ vX_[1146] = vX_[1146] + jac[241];
+ jac[242] = (vX_[1395] - 0.1104774 * (vX_[372] * vX_[1457] + vX_[1520] * vX_[1099] + vX_[1517] * vX_[1146] + vX_[1345]) - -0.0004405 * (vX_[374] * vX_[1457] + vX_[372] * vX_[1099] + vX_[377] * vX_[1146] + vX_[1343]) - 0.026181 * vX_[1146]) / 0.026181;
+ vX_[1146] = vX_[328] * jac[236] + vX_[249] * jac[235];
+ vX_[1099] = vX_[330] * jac[236] + vX_[328] * jac[235];
+ vX_[1457] = 0.207 * jac[236] + jac[237];
+ vX_[1395] = vX_[1318] * jac[236] + vX_[1571] * jac[235] + vX_[327] * jac[234] + vX_[1669] * jac[239] + vX_[328] * jac[238];
+ jac[243] = (0 - vX_[324] * jac[234] - vX_[360] * vX_[1146] - vX_[319] * vX_[1099] - vX_[345] * vX_[1457] - vX_[337] * (vX_[331] * jac[236] + vX_[329] * jac[235] + vX_[368] * jac[234] + vX_[328] * jac[239] + vX_[249] * jac[238]) - vX_[322] * vX_[1395]) / vX_[324];
+ vX_[1343] = jac[234] + jac[243];
+ vX_[1345] = vX_[1229] * vX_[1457] + vX_[1319] * vX_[1395] + vX_[1274] * vX_[1146];
+ vX_[1395] = vX_[698] * vX_[1457] + vX_[250] * vX_[1395] + vX_[299] * vX_[1146];
+ jac[244] = (0 - vX_[274] * vX_[1146] - vX_[281] * (vX_[297] * vX_[1343] + vX_[278] * vX_[1099]) - vX_[262] * (vX_[278] * vX_[1343] + vX_[250] * vX_[1099]) - vX_[272] * vX_[1345] - vX_[285] * vX_[1395]) / vX_[274];
+ vX_[1146] = vX_[1146] + jac[244];
+ jac[245] = (0 - 0.1104774 * (vX_[251] * vX_[1345] + vX_[1276] * vX_[1395] + vX_[1252] * vX_[1146]) - -0.0004405 * (vX_[253] * vX_[1345] + vX_[251] * vX_[1395] + vX_[256] * vX_[1146]) - 0.026181 * vX_[1146]) / 0.026181;
+ vX_[1146] = vX_[208] * jac[236] + vX_[138] * jac[235];
+ vX_[1395] = vX_[138] * jac[236] + vX_[209] * jac[235];
+ vX_[1479] = 0.207 * jac[236] + vX_[1479];
+ vX_[1345] = vX_[998] * jac[236] + vX_[1570] * jac[235] + vX_[206] * jac[234] + vX_[1668] * jac[239] + vX_[1616] * jac[238];
+ jac[246] = (0 - vX_[203] * vX_[1432] - vX_[240] * vX_[1146] - vX_[198] * vX_[1395] - vX_[225] * vX_[1479] - vX_[217] * (vX_[211] * jac[236] + vX_[210] * jac[235] + vX_[248] * jac[234] + vX_[208] * jac[239] + vX_[1615] * jac[238]) - vX_[201] * vX_[1345]) / vX_[203];
+ vX_[1343] = -1 * vX_[1146];
+ vX_[1432] = vX_[1432] + jac[246];
+ vX_[1099] = vX_[139] * vX_[1479] + vX_[1079] * vX_[1345] + vX_[790] * vX_[1146];
+ vX_[1345] = vX_[159] * vX_[1479] + vX_[139] * vX_[1345] + vX_[177] * vX_[1146];
+ jac[247] = (0 - vX_[156] * vX_[1343] - 2.1e-05 * (vX_[139] * vX_[1432] + vX_[160] * vX_[1395]) - -0.000102 * (vX_[159] * vX_[1432] + vX_[139] * vX_[1395]) - vX_[154] * vX_[1099] - vX_[164] * vX_[1345]) / vX_[156];
+ vX_[1343] = vX_[1343] + jac[247];
+ jac[248] = (0 - 0.110125 * (vX_[142] * vX_[1099] + vX_[1037] * vX_[1345] + vX_[1034] * vX_[1343]) - 0.000881 * (vX_[140] * vX_[1099] + vX_[142] * vX_[1345] + vX_[141] * vX_[1343]) - 0.026181 * vX_[1343]) / 0.026181;
+ vX_[1343] = vX_[96] * jac[236] + vX_[26] * jac[235];
+ vX_[1345] = vX_[98] * jac[236] + vX_[96] * jac[235];
+ vX_[1099] = 0.207 * jac[236] + jac[237];
+ vX_[1432] = vX_[834] * jac[236] + vX_[1569] * jac[235] + vX_[95] * jac[234] + vX_[1667] * jac[239] + vX_[96] * jac[238];
+ jac[249] = (0 - vX_[92] * jac[234] - vX_[128] * vX_[1343] - vX_[87] * vX_[1345] - vX_[113] * vX_[1099] - vX_[105] * (vX_[99] * jac[236] + vX_[97] * jac[235] + vX_[136] * jac[234] + vX_[96] * jac[239] + vX_[26] * jac[238]) - vX_[90] * vX_[1432]) / vX_[92];
+ vX_[1395] = jac[234] + jac[249];
+ vX_[1479] = vX_[746] * vX_[1099] + vX_[835] * vX_[1432] + vX_[789] * vX_[1343];
+ vX_[1432] = vX_[613] * vX_[1099] + vX_[13] * vX_[1432] + vX_[67] * vX_[1343];
+ jac[250] = (0 - vX_[42] * vX_[1343] - vX_[49] * (vX_[65] * vX_[1395] + vX_[46] * vX_[1345]) - vX_[30] * (vX_[46] * vX_[1395] + vX_[13] * vX_[1345]) - vX_[40] * vX_[1479] - vX_[53] * vX_[1432]) / vX_[42];
+ vX_[1343] = vX_[1343] + jac[250];
+ jac[251] = (0 - 0.1104774 * (vX_[15] * vX_[1479] + vX_[791] * vX_[1432] + vX_[766] * vX_[1343]) - 0.0004405 * (vX_[23] * vX_[1479] + vX_[15] * vX_[1432] + vX_[25] * vX_[1343]) - 0.026181 * vX_[1343]) / 0.026181;
+ vX_[1343] = -1 * sin(x_in[7]);
+ vX_[1432] = cos(x_in[7]);
+ vX_[1479] = vX_[1343] * vX_[1331] + vX_[1432] * vX_[1272];
+ vX_[1395] = vX_[1479] * vX_[1096];
+ vX_[1345] = -0.08 * vX_[1432];
+ vX_[1099] = vX_[1432] * vX_[1116] + vX_[1343] * vX_[1107] + vX_[1345] * vX_[597];
+ vX_[1146] = vX_[849] * vX_[1099];
+ vX_[1457] = - vX_[1432];
+ vX_[787] = vX_[1457] * vX_[1331] + vX_[1343] * vX_[1272];
+ vX_[1447] = vX_[877] * vX_[787] + vX_[1479] * vX_[866];
+ vX_[1212] = -0.35 * vX_[787];
+ vX_[1480] = vX_[372] * vX_[1479] + vX_[374] * vX_[787];
+ vX_[1362] = vX_[1147] * vX_[1212] + vX_[1480] * vX_[845];
+ vX_[1091] = - vX_[1432];
+ vX_[1330] = -0.08 * vX_[1343];
+ vX_[1456] = vX_[1343] * vX_[1116] + vX_[1091] * vX_[1107] + vX_[1330] * vX_[597];
+ vX_[1662] = vX_[374] * vX_[1456] + vX_[372] * vX_[1099];
+ vX_[871] = vX_[593] * vX_[1662];
+ vX_[1439] = vX_[375] * vX_[1479] + vX_[372] * vX_[787];
+ vX_[867] = vX_[1147] * vX_[1439] + vX_[1480] * vX_[1392];
+ vX_[1357] = vX_[1439] * vX_[593];
+ vX_[1335] = (- vX_[1662]) * x_in[26];
+ vX_[571] = vX_[372] * vX_[1456] + vX_[1520] * vX_[1099];
+ vX_[744] = vX_[571] * x_in[26];
+ vX_[615] = vX_[1439] * x_in[26];
+ vX_[854] = cos(x_in[7]);
+ vX_[1465] = vX_[1449] * (vX_[1450] * vX_[854] * vX_[374] - vX_[1452] * vX_[1343] * vX_[372] - vX_[1454] * vX_[1343]) + vX_[1460] * (vX_[1461] * vX_[854] * vX_[374] - vX_[1463] * vX_[1343] * vX_[372] - vX_[1465] * vX_[1343]) + vX_[1467] * (-0.33 * vX_[1343] * vX_[374] - 0.33 * vX_[854] * vX_[372] - 0.35 * vX_[854]);
+ vX_[1463] = ((- vX_[1474]) * 100. * vX_[1465] * vX_[1472]) / vX_[1473];
+ vX_[1386] = vX_[1382] * vX_[854] * vX_[374] - vX_[1384] * vX_[1343] * vX_[372] - vX_[1386] * vX_[1343];
+ vX_[1384] = -0.33 * vX_[1343] * vX_[374] - 0.33 * vX_[854] * vX_[372] - 0.35 * vX_[854];
+ vX_[1380] = (vX_[1366] * vX_[1343] * vX_[374] + vX_[1368] * vX_[854] * vX_[372]) * x_in[26] + (vX_[1366] * vX_[854] * vX_[372] + vX_[1372] * vX_[1343] * vX_[374] + vX_[1374] * vX_[854]) * x_in[25] + (vX_[1376] * vX_[1343] * vX_[372] + vX_[1378] * vX_[854] * vX_[374] + vX_[1380] * vX_[1343]) * x_in[24] + x_in[18] * vX_[1386] - x_in[19] * vX_[1384];
+ vX_[1420] = vX_[1416] * vX_[854] * vX_[374] - vX_[1418] * vX_[1343] * vX_[372] - vX_[1420] * vX_[1343];
+ vX_[1384] = (vX_[1400] * vX_[1343] * vX_[374] + vX_[1402] * vX_[854] * vX_[372]) * x_in[26] + (vX_[1400] * vX_[854] * vX_[372] + vX_[1406] * vX_[1343] * vX_[374] + vX_[1408] * vX_[854]) * x_in[25] + (vX_[1410] * vX_[854] * vX_[374] - vX_[1412] * vX_[1343] * vX_[372] - vX_[1414] * vX_[1343]) * x_in[24] + x_in[20] * vX_[1384] - x_in[18] * vX_[1420];
+ vX_[1420] = (0.33 * vX_[854] * vX_[374] - 0.33 * vX_[1343] * vX_[372]) * x_in[26] + (0.33 * vX_[854] * vX_[374] - 0.33 * vX_[1343] * vX_[372] - 0.35 * vX_[1343]) * x_in[25] + x_in[19] * vX_[1420] - x_in[20] * vX_[1386];
+ vX_[1465] = vX_[1433] * vX_[1463] + -1000. * (vX_[1365] * vX_[1380] + vX_[1399] * vX_[1384] + vX_[1425] * vX_[1420]) * vX_[1474] + 5000. * -100. * vX_[1465] * vX_[1471];
+ vX_[1386] = vX_[1494] * vX_[1463] + -1000. * (vX_[1398] * vX_[1380] + vX_[1364] * vX_[1384] + vX_[1493] * vX_[1420]) * vX_[1474];
+ vX_[1420] = vX_[1361] * vX_[1463] + -1000. * (vX_[1424] * vX_[1380] + vX_[1492] * vX_[1384] + vX_[1396] * vX_[1420]) * vX_[1474];
+ vX_[1384] = vX_[1347] * vX_[1465] + vX_[1490] * vX_[1386] + vX_[1495] * vX_[1420];
+ vX_[1380] = -0.33 * vX_[1343] * vX_[374] - 0.33 * vX_[854] * vX_[372] - 0.35 * vX_[854];
+ vX_[1463] = vX_[1501] * vX_[1465] + vX_[1475] * vX_[1386] + vX_[1488] * vX_[1420];
+ vX_[1497] = vX_[1437] * vX_[854] * vX_[374] - vX_[1423] * vX_[1343] * vX_[372] - vX_[1497] * vX_[1343];
+ vX_[1423] = vX_[1325] * vX_[1384] + vX_[1380] * vX_[1459] - (vX_[1498] * vX_[1463] + vX_[1497] * vX_[1443]);
+ vX_[854] = vX_[1334] * vX_[854] * vX_[374] - vX_[1329] * vX_[1343] * vX_[372] - vX_[1503] * vX_[1343];
+ vX_[1420] = vX_[1356] * vX_[1465] + vX_[1346] * vX_[1386] + vX_[1500] * vX_[1420];
+ vX_[1380] = vX_[1504] * vX_[1463] + vX_[854] * vX_[1443] - (vX_[1325] * vX_[1420] + vX_[1380] * vX_[1476]);
+ vX_[1212] = vX_[1392] * vX_[1212] + vX_[1439] * vX_[845] - vX_[593] * vX_[571];
+ vX_[1483] = 0.1104774 * (vX_[871] - vX_[1362]) + 0.025941 * vX_[867] - vX_[1321] * vX_[1423] - vX_[369] * vX_[1380] - (vX_[1348] * vX_[1420] + (0 - vX_[1484] * vX_[1432]) * vX_[1476]) - (vX_[1477] * vX_[1384] + (0 - vX_[1483] * vX_[1432]) * vX_[1459]) - (vX_[1482] * vX_[1463] + 0.35 * vX_[1343] * vX_[1443]) - 0.0004405 * vX_[1212];
+ vX_[1484] = 0 - vX_[1483];
+ vX_[1386] = vX_[369] * vX_[1343];
+ vX_[1465] = vX_[369] * vX_[1432];
+ vX_[1503] = vX_[1320] * vX_[1343];
+ vX_[1320] = vX_[1320] * vX_[1432];
+ vX_[1329] = vX_[1503] * vX_[374] + vX_[1320] * vX_[372];
+ vX_[1334] = vX_[1432] * vX_[374] - vX_[1343] * vX_[372];
+ vX_[1437] = vX_[1147] * vX_[1480] + vX_[1480] * vX_[1147];
+ vX_[1414] = -0.881 * (vX_[1362] - vX_[871]) + 0.1104774 * vX_[867] + -8.81e-05 * vX_[1357] + 0.414812462825713 * vX_[1335] + 0.00185880198235362 * vX_[744] + 8.81e-05 * vX_[615] + (0.1104774 * vX_[1484]) / 0.026181 - (vX_[1489] * vX_[1420] + (vX_[1386] * vX_[374] + vX_[1465] * vX_[372]) * vX_[1476]) - (vX_[1507] * vX_[1384] + vX_[1329] * vX_[1459]) - (vX_[1508] * vX_[1463] + vX_[1334] * vX_[1443]) - 0.0004405 * vX_[1437];
+ vX_[1412] = vX_[1480] * vX_[593];
+ vX_[1410] = (- vX_[1480]) * x_in[26];
+ vX_[1408] = vX_[1386] * vX_[372];
+ vX_[1320] = vX_[1320] * vX_[374] - vX_[1503] * vX_[372];
+ vX_[1503] = vX_[1432] * vX_[372];
+ vX_[1406] = vX_[1392] * vX_[1439] + vX_[1439] * vX_[1392];
+ vX_[1465] = 0.881 * vX_[1212] + -8.81e-05 * vX_[1412] + 0.0004405 * vX_[867] + 0.00185880198235362 * vX_[1335] + 0.880992588508842 * vX_[744] + -8.81e-05 * vX_[1410] + (-0.0004405 * vX_[1484]) / 0.026181 - (vX_[1511] * vX_[1420] + (vX_[1465] * vX_[374] - vX_[1408]) * vX_[1476]) - (vX_[1512] * vX_[1384] + vX_[1320] * vX_[1459]) - (vX_[1515] * vX_[1463] + ((- vX_[1343]) * vX_[374] - vX_[1503]) * vX_[1443]) - 0.1104774 * vX_[1406];
+ vX_[867] = (- vX_[1479]) * x_in[25];
+ vX_[1402] = vX_[787] * x_in[25];
+ vX_[1400] = (- vX_[1099]) * x_in[25];
+ vX_[1418] = vX_[1456] * x_in[25];
+ vX_[1416] = vX_[1479] * vX_[849];
+ vX_[1378] = vX_[787] * vX_[1096] - vX_[849] * vX_[1456];
+ vX_[1376] = vX_[787] * vX_[849];
+ vX_[1374] = vX_[866] * vX_[787] + vX_[787] * vX_[866];
+ vX_[1372] = vX_[877] * vX_[1479] + vX_[1479] * vX_[877];
+ vX_[1483] = 0.47422804 * (vX_[1146] - vX_[1395]) + 0.081641 * vX_[1447] + 2.1e-05 * vX_[1416] + (0.026181 * vX_[1484]) / 0.026181 + vX_[1483] + vX_[1517] * vX_[1414] + vX_[377] * vX_[1465] - -0.0825825 * vX_[1378] - 0.000102 * vX_[1376] - 0.007418 * (vX_[1374] - vX_[1372]);
+ vX_[1368] = 0 - vX_[1483];
+ vX_[1146] = -3.146 * (vX_[1395] - vX_[1146]) + 0.47422804 * vX_[1447] + vX_[372] * vX_[1414] + vX_[374] * vX_[1465] + vX_[403] * vX_[867] + vX_[397] * vX_[1402] + vX_[429] * vX_[1400] + vX_[431] * vX_[1418] + (vX_[393] * vX_[1368]) / vX_[395] - -0.0825825 * vX_[1372];
+ vX_[1378] = 3.146 * vX_[1378] + -0.0825825 * vX_[1447] + vX_[1520] * vX_[1414] + vX_[372] * vX_[1465] + vX_[409] * vX_[867] + vX_[408] * vX_[1402] + vX_[431] * vX_[1400] + vX_[430] * vX_[1418] + (vX_[406] * vX_[1368]) / vX_[395] - 0.47422804 * vX_[1374];
+ vX_[1465] = -1 * vX_[1345];
+ vX_[1414] = -0.08 * vX_[1343];
+ vX_[1395] = vX_[1465] * vX_[430] - vX_[1414] * vX_[431];
+ vX_[1366] = vX_[1465] * vX_[431] - vX_[1414] * vX_[429];
+ vX_[433] = vX_[432] * vX_[1465] + vX_[1395] * vX_[420] - (vX_[433] * vX_[1414] + vX_[1366] * vX_[418]);
+ vX_[432] = vX_[408] * vX_[1465] - vX_[397] * vX_[1414];
+ vX_[1382] = vX_[409] * vX_[1465] - vX_[403] * vX_[1414];
+ vX_[1461] = - vX_[1382];
+ vX_[1454] = vX_[399] * vX_[432] + vX_[1457] * vX_[479] + vX_[371] * vX_[1461] + vX_[1343] * vX_[481];
+ vX_[1452] = - 4.027 * vX_[1465];
+ vX_[394] = 0 - vX_[394] * vX_[1465] - (vX_[421] * vX_[1465] + vX_[1452] * vX_[420]) - vX_[433];
+ vX_[1465] = vX_[405] * vX_[1414] + vX_[421] * vX_[1414] + vX_[1452] * vX_[418] - vX_[392] * vX_[1465];
+ vX_[438] = vX_[398] * vX_[394] + vX_[1432] * vX_[438] + vX_[371] * vX_[1465] + vX_[1343] * vX_[422];
+ vX_[421] = 4.027 * vX_[1414];
+ vX_[1414] = vX_[423] * vX_[1414] + vX_[426] * vX_[1414] + vX_[421] * vX_[418] - vX_[433];
+ vX_[1465] = vX_[398] * vX_[1465] + vX_[1432] * vX_[422] + vX_[371] * vX_[1414] + vX_[1343] * vX_[435];
+ vX_[435] = vX_[439] * vX_[1432] + vX_[438] * vX_[398] + vX_[436] * vX_[1343] + vX_[1465] * vX_[371];
+ vX_[422] = vX_[433] + vX_[435];
+ vX_[426] = (vX_[1454] - vX_[534] * vX_[422]) / vX_[445];
+ vX_[423] = vX_[433] - (vX_[482] * vX_[426] + vX_[1454] * vX_[534]);
+ vX_[1465] = vX_[436] * vX_[1457] + vX_[1465] * vX_[399] + vX_[439] * vX_[1343] + vX_[438] * vX_[371];
+ vX_[426] = vX_[480] * vX_[1457] + -1 * 2. * vX_[1382] * vX_[399] + vX_[574] * vX_[1343] + -1 * 2. * vX_[432] * vX_[371] + vX_[371] * vX_[432] + vX_[1343] * vX_[479] + vX_[398] * vX_[1461] + vX_[1432] * vX_[481] - (vX_[440] * vX_[426] + vX_[1465] * vX_[534]);
+ vX_[1461] = - vX_[421];
+ vX_[1382] = vX_[371] * vX_[1461] + vX_[1343] * vX_[456] + vX_[399] * vX_[1452] + vX_[1457] * vX_[457];
+ vX_[432] = (vX_[1382] - vX_[460] * vX_[422]) / vX_[445];
+ vX_[574] = -(vX_[482] * vX_[432] + vX_[1454] * vX_[460]);
+ vX_[421] = -1 * (vX_[1366] + vX_[421]);
+ vX_[1395] = -1 * (vX_[1395] + vX_[1452]);
+ vX_[1461] = vX_[398] * vX_[1461] + vX_[1432] * vX_[456] + vX_[371] * vX_[1452] + vX_[1343] * vX_[457];
+ vX_[1452] = vX_[1432] * vX_[408] + vX_[1343] * vX_[409];
+ vX_[457] = vX_[1432] * vX_[397] + vX_[1343] * vX_[403];
+ vX_[456] = vX_[441] * vX_[1343] + vX_[1452] * vX_[371] + vX_[442] * vX_[1457] + vX_[457] * vX_[399];
+ vX_[1366] = (vX_[456] - vX_[446] * vX_[422]) / vX_[445];
+ vX_[480] = vX_[455] * vX_[1457] + vX_[421] * vX_[399] + vX_[485] * vX_[1343] + vX_[1395] * vX_[371] + vX_[1461] - (vX_[482] * vX_[1366] + vX_[1454] * vX_[446]);
+ vX_[481] = vX_[369] * vX_[1432];
+ vX_[854] = vX_[1498] * vX_[1420] + vX_[1497] * vX_[1476] - (vX_[1504] * vX_[1384] + vX_[854] * vX_[1459]);
+ vX_[571] = vX_[1147] * vX_[571] + vX_[1480] * vX_[1487] - (vX_[1392] * vX_[1662] + vX_[1439] * vX_[1466]);
+ vX_[1334] = -8.81e-05 * vX_[1212] + -8.81e-05 * vX_[744] + 0.026409 * vX_[1410] - (vX_[1521] * vX_[1423] + (vX_[1386] * vX_[374] + vX_[481] * vX_[372]) * vX_[1397]) - (vX_[1507] * vX_[1380] + vX_[1329] * vX_[1478]) - (vX_[1508] * vX_[854] + vX_[1334] * vX_[1202]) - (vX_[1529] * vX_[1420] + ((vX_[1523] * vX_[1432] + vX_[1524] * vX_[1343]) * vX_[374] + (vX_[1526] * vX_[1343] + vX_[1527] * vX_[1432]) * vX_[372]) * vX_[1476]) - (vX_[1536] * vX_[1384] + ((vX_[1530] * vX_[1432] - vX_[1531] * vX_[1343]) * vX_[374] + (vX_[1533] * vX_[1343] + vX_[1534] * vX_[1432]) * vX_[372]) * vX_[1459]) - (vX_[1541] * vX_[1463] + (vX_[1537] * vX_[1343] * vX_[374] + vX_[1539] * vX_[1432] * vX_[372]) * vX_[1443]) - 0.1104774 * vX_[571] - 0.025713 * vX_[1412];
+ vX_[854] = 0.0004405 * vX_[571] + -8.81e-05 * (vX_[1362] - vX_[871]) + -0.000227999999999999 * vX_[1357] + 8.81e-05 * vX_[1335] + 0.000468 * vX_[615] - (vX_[1510] * vX_[1423] + (vX_[481] * vX_[374] - vX_[1408]) * vX_[1397]) - (vX_[1512] * vX_[1380] + vX_[1320] * vX_[1478]) - (vX_[1514] * vX_[854] + ((- vX_[1343]) * vX_[374] - vX_[1503]) * vX_[1202]) - (vX_[1550] * vX_[1420] + ((vX_[1544] * vX_[1343] + vX_[1545] * vX_[1432]) * vX_[374] + (vX_[1547] * vX_[1432] - vX_[1548] * vX_[1343]) * vX_[372]) * vX_[1476]) - (vX_[1557] * vX_[1384] + ((vX_[1551] * vX_[1343] + vX_[1552] * vX_[1432]) * vX_[374] + (vX_[1554] * vX_[1432] + vX_[1555] * vX_[1343]) * vX_[372]) * vX_[1459]) - (vX_[1561] * vX_[1463] + (vX_[1537] * vX_[1432] * vX_[374] - vX_[1559] * vX_[1343] * vX_[372]) * vX_[1443]);
+ vX_[571] = 0.881 * vX_[571] + 0.1104774 * vX_[1412] + 0.0004405 * vX_[1357] + -0.1104774 * vX_[1410] + 0.0004405 * vX_[615] - vX_[1326] * vX_[1420] - vX_[369] * vX_[1384] - -8.81e-05 * (vX_[1406] + vX_[1437]);
+ vX_[1456] = vX_[877] * vX_[1456] + vX_[1479] * vX_[1455] - (vX_[866] * vX_[1099] + vX_[787] * vX_[1340]);
+ vX_[1372] = 0.007418 * vX_[1376] + 0.000102 * (0 - vX_[1372]) + vX_[372] * vX_[1334] + vX_[374] * vX_[854] + -0.35 * vX_[571] + vX_[425] * vX_[867] + vX_[417] * vX_[1402] + vX_[403] * vX_[1400] + vX_[409] * vX_[1418] + (vX_[402] * vX_[1368]) / vX_[395] - 0.47422804 * vX_[1456] - 0.084376 * vX_[1416] - 2.1e-05 * vX_[1447];
+ vX_[854] = 0.002735 * vX_[1376] + -0.0825825 * vX_[1456] + 0.000102 * vX_[1447] + vX_[375] * vX_[1334] + vX_[372] * vX_[854] + vX_[417] * vX_[867] + vX_[424] * vX_[1402] + vX_[397] * vX_[1400] + vX_[408] * vX_[1418] + (vX_[383] * vX_[1368]) / vX_[395] - 0.007418 * vX_[1416] - 2.1e-05 * (0 - vX_[1374]);
+ vX_[1456] = 0.47422804 * vX_[1416] + 3.146 * vX_[1456] + -0.0825825 * vX_[1376] + vX_[571] + vX_[392] * vX_[867] + vX_[405] * vX_[1402];
+ vX_[571] = vX_[371] * vX_[1372] + vX_[1343] * vX_[1145] + vX_[398] * vX_[854] + vX_[1432] * vX_[1093] + -0.08 * vX_[1456];
+ vX_[1376] = 0 - vX_[571];
+ vX_[1483] = vX_[1275] * vX_[1146] + vX_[1330] * vX_[1097] + vX_[419] * vX_[1378] + vX_[1345] * vX_[1359] + -1 * (vX_[1483] + (vX_[395] * vX_[1368]) / vX_[395]) + vX_[423] * vX_[1213] + vX_[426] * vX_[1151] + vX_[574] * vX_[955] + vX_[480] * vX_[1115] + (vX_[482] * vX_[1376] + vX_[1454] * vX_[1087] - vX_[910] * vX_[422]) / vX_[445];
+ vX_[435] = vX_[1414] + vX_[394] + vX_[433] - vX_[435] - (vX_[440] * (vX_[1465] - vX_[543] * vX_[422]) / vX_[445] + vX_[1465] * vX_[543]);
+ vX_[1461] = 0 - vX_[1461] - (vX_[440] * vX_[432] + vX_[1465] * vX_[460]);
+ vX_[1414] = vX_[1343] * vX_[397] + vX_[1457] * vX_[403];
+ vX_[394] = vX_[1343] * vX_[408] + vX_[1457] * vX_[409];
+ vX_[433] = vX_[404] * vX_[1457] + vX_[1414] * vX_[399] + vX_[410] * vX_[1343] + vX_[394] * vX_[371] - (vX_[440] * vX_[1366] + vX_[1465] * vX_[446]);
+ vX_[854] = vX_[399] * vX_[1372] + vX_[1457] * vX_[1145] + vX_[371] * vX_[854] + vX_[1343] * vX_[1093] + vX_[426] * vX_[1213] + vX_[435] * vX_[1151] + vX_[1461] * vX_[955] + vX_[433] * vX_[1115] + (vX_[440] * vX_[1376] + vX_[1465] * vX_[1087] - vX_[1101] * vX_[422]) / vX_[445];
+ vX_[457] = vX_[441] * vX_[1432] + vX_[1452] * vX_[398] + vX_[442] * vX_[1343] + vX_[457] * vX_[371];
+ vX_[1452] = (vX_[457] - vX_[468] * vX_[422]) / vX_[445];
+ vX_[1395] = vX_[455] * vX_[1343] + vX_[421] * vX_[371] + vX_[485] * vX_[1432] + vX_[1395] * vX_[398] - vX_[1382] - (vX_[482] * vX_[1452] + vX_[1454] * vX_[468]);
+ vX_[394] = vX_[404] * vX_[1343] + vX_[1414] * vX_[371] + vX_[410] * vX_[1432] + vX_[394] * vX_[398] - (vX_[440] * vX_[1452] + vX_[1465] * vX_[468]);
+ vX_[1414] = -(vX_[459] * vX_[1452] + vX_[1382] * vX_[468]);
+ vX_[463] = vX_[1432] * vX_[431] + vX_[1343] * vX_[463];
+ vX_[465] = vX_[1432] * vX_[465] + vX_[1343] * vX_[431];
+ vX_[410] = vX_[464] * vX_[1457] + vX_[463] * vX_[399] + vX_[466] * vX_[1343] + vX_[465] * vX_[371] - (vX_[443] * vX_[1452] + vX_[456] * vX_[468]);
+ vX_[404] = vX_[371] * vX_[1146] + vX_[1343] * vX_[1097] + vX_[398] * vX_[1378] + vX_[1432] * vX_[1359] + vX_[1395] * vX_[1213] + vX_[394] * vX_[1151] + vX_[1414] * vX_[955] + vX_[410] * vX_[1115] + (vX_[467] * vX_[1376] + vX_[457] * vX_[1087] - vX_[1194] * vX_[422]) / vX_[445];
+ vX_[421] = -(vX_[459] * vX_[432] + vX_[1382] * vX_[460]);
+ vX_[432] = -(vX_[443] * vX_[432] + vX_[456] * vX_[460]);
+ vX_[1456] = -1 * vX_[1456] + vX_[574] * vX_[1213] + vX_[1461] * vX_[1151] + vX_[421] * vX_[955] + vX_[432] * vX_[1115] + (vX_[459] * vX_[1376] + vX_[1382] * vX_[1087] - vX_[873] * vX_[422]) / vX_[445];
+ vX_[465] = vX_[466] * vX_[1432] + vX_[465] * vX_[398] + vX_[464] * vX_[1343] + vX_[463] * vX_[371];
+ vX_[1366] = 0 - vX_[465] - (vX_[443] * vX_[1366] + vX_[456] * vX_[446]);
+ vX_[1378] = vX_[1562] * vX_[1146] + vX_[1091] * vX_[1097] + vX_[371] * vX_[1378] + vX_[1343] * vX_[1359] + vX_[480] * vX_[1213] + vX_[433] * vX_[1151] + vX_[432] * vX_[955] + vX_[1366] * vX_[1115] + (vX_[443] * vX_[1376] + vX_[456] * vX_[1087] - vX_[1186] * vX_[422]) / vX_[445];
+ vX_[465] = vX_[465] - (vX_[467] * vX_[1452] + vX_[457] * vX_[468]);
+ vX_[1452] = vX_[474] * vX_[465] - vX_[454] * vX_[410];
+ vX_[1146] = vX_[474] * vX_[410] - vX_[454] * vX_[1366];
+ vX_[1359] = vX_[449] * vX_[1366] - vX_[474] * vX_[432];
+ vX_[1097] = vX_[449] * vX_[432] - vX_[474] * vX_[421];
+ vX_[463] = vX_[1359] * vX_[449] - vX_[1097] * vX_[474];
+ vX_[423] = 2. * vX_[1395] * vX_[474] + vX_[423] + vX_[1452] * vX_[474] - 2. * vX_[480] * vX_[454] - vX_[1146] * vX_[454] - vX_[463];
+ vX_[466] = vX_[454] * vX_[421] - vX_[449] * vX_[1414];
+ vX_[464] = vX_[454] * vX_[1414] - vX_[449] * vX_[465];
+ vX_[435] = 2. * vX_[1461] * vX_[454] + vX_[435] + vX_[466] * vX_[454] - 2. * vX_[394] * vX_[449] - vX_[464] * vX_[449] - vX_[463];
+ vX_[485] = vX_[454] * vX_[432];
+ vX_[455] = vX_[449] * vX_[410];
+ vX_[442] = vX_[485] - vX_[455];
+ vX_[426] = vX_[574] * vX_[454] + vX_[426] + vX_[394] * vX_[474] + vX_[464] * vX_[474] - vX_[433] * vX_[454] - vX_[1395] * vX_[449] - vX_[442] * vX_[454];
+ vX_[441] = vX_[370] * vX_[426];
+ vX_[1372] = (vX_[451] * vX_[435] + vX_[441]) * vX_[451] + (vX_[451] * vX_[426] + vX_[370] * vX_[423]) * vX_[370];
+ vX_[426] = vX_[370] * vX_[435] + vX_[450] * vX_[426];
+ vX_[441] = vX_[441] + vX_[450] * vX_[423];
+ vX_[1093] = vX_[426] * vX_[370] + vX_[441] * vX_[450];
+ vX_[435] = vX_[423] + vX_[435] + vX_[463] - vX_[1372] - vX_[1093];
+ vX_[571] = (vX_[1573] * vX_[1456] + vX_[448] * vX_[1378] + -1 * (vX_[571] + (vX_[445] * vX_[1376] + vX_[422] * vX_[1087] - vX_[1088] * vX_[422]) / vX_[445]) - vX_[1518] * vX_[435]) / vX_[583];
+ vX_[423] = vX_[474] * vX_[1414];
+ vX_[485] = vX_[423] - vX_[485];
+ vX_[1145] = vX_[574] * vX_[474] + vX_[485] * vX_[474] - vX_[480] * vX_[449] - vX_[1146] * vX_[449];
+ vX_[1416] = vX_[433] * vX_[449] + vX_[442] * vX_[449] - vX_[1461] * vX_[474] - vX_[466] * vX_[474];
+ vX_[1334] = vX_[370] * vX_[1145] + vX_[450] * vX_[1416];
+ vX_[1374] = (vX_[1334] - vX_[1567] * vX_[435]) / vX_[583];
+ vX_[1372] = vX_[463] + vX_[1372] - (vX_[1566] * vX_[1374] + vX_[1334] * vX_[1567]);
+ vX_[1447] = (vX_[370] * vX_[1483] + vX_[451] * vX_[854] + vX_[452] * vX_[1456] + vX_[1572] * vX_[1378] - (vX_[1566] * vX_[571] + vX_[1334] * vX_[1518]) - vX_[1677] * vX_[1372]) / vX_[580];
+ vX_[441] = vX_[426] * vX_[451] + vX_[441] * vX_[370];
+ vX_[1416] = 0 - vX_[370] * vX_[1416] - vX_[451] * vX_[1145];
+ vX_[1145] = vX_[441] - (vX_[490] * vX_[1374] + vX_[1416] * vX_[1567]);
+ vX_[426] = (vX_[1416] - vX_[584] * vX_[435]) / vX_[583];
+ vX_[441] = (vX_[441] - (vX_[1566] * vX_[426] + vX_[1334] * vX_[584]) - vX_[1565] * vX_[1372]) / vX_[580];
+ vX_[1093] = vX_[463] + vX_[1093] - (vX_[1568] * vX_[441] + vX_[1145] * vX_[1565]) - (vX_[490] * vX_[426] + vX_[1416] * vX_[584]);
+ vX_[854] = (vX_[450] * vX_[1483] + vX_[370] * vX_[854] + 0.207 * vX_[404] + vX_[453] * vX_[1456] + vX_[1481] * vX_[1378] - (vX_[1568] * vX_[1447] + vX_[1145] * vX_[1677]) - (vX_[490] * vX_[571] + vX_[1416] * vX_[1518]) - vX_[1201] * vX_[1093]) / vX_[582];
+ vX_[466] = vX_[466] + vX_[1461];
+ vX_[423] = vX_[455] - vX_[423];
+ vX_[485] = vX_[574] + vX_[485] - vX_[423];
+ vX_[574] = vX_[451] * vX_[466] + vX_[370] * vX_[485];
+ vX_[442] = vX_[433] + vX_[442] - vX_[423];
+ vX_[1146] = vX_[1146] + vX_[480];
+ vX_[480] = vX_[451] * vX_[442] + vX_[370] * vX_[1146];
+ vX_[433] = vX_[574] * vX_[370] + vX_[480] * vX_[451] + vX_[423];
+ vX_[1452] = vX_[1452] + vX_[1395];
+ vX_[1097] = -1 * (vX_[1097] + vX_[1452]);
+ vX_[464] = vX_[464] + vX_[394];
+ vX_[1359] = -1 * (vX_[1359] + vX_[464]);
+ vX_[1452] = - vX_[1452];
+ vX_[394] = vX_[370] * vX_[1452] + vX_[450] * vX_[464];
+ vX_[1395] = vX_[1097] * vX_[370] + vX_[1359] * vX_[451] - vX_[394];
+ vX_[455] = vX_[433] - (vX_[1611] * vX_[1374] + vX_[1395] * vX_[1567]);
+ vX_[1146] = vX_[370] * vX_[442] + vX_[450] * vX_[1146];
+ vX_[485] = vX_[370] * vX_[466] + vX_[450] * vX_[485];
+ vX_[466] = vX_[1146] * vX_[451] + vX_[485] * vX_[370];
+ vX_[442] = vX_[466] - (vX_[1587] * vX_[441] + vX_[455] * vX_[1565]) - (vX_[1611] * vX_[426] + vX_[1395] * vX_[584]);
+ vX_[1461] = vX_[394] - (vX_[1630] * vX_[1374] + vX_[423] * vX_[1567]);
+ vX_[1452] = vX_[451] * vX_[1452] + vX_[370] * vX_[464];
+ vX_[464] = - vX_[1452];
+ vX_[1483] = vX_[464] - (vX_[1610] * vX_[441] + vX_[1461] * vX_[1565]) - (vX_[1630] * vX_[426] + vX_[423] * vX_[584]);
+ vX_[421] = vX_[421] - vX_[465];
+ vX_[1366] = vX_[1366] - vX_[465];
+ vX_[463] = vX_[370] * vX_[432];
+ vX_[787] = (vX_[451] * vX_[1366] + vX_[463]) * vX_[451] + (vX_[451] * vX_[432] + vX_[370] * vX_[421]) * vX_[370];
+ vX_[432] = vX_[370] * vX_[1366] + vX_[450] * vX_[432];
+ vX_[463] = vX_[463] + vX_[450] * vX_[421];
+ vX_[1099] = vX_[432] * vX_[370] + vX_[463] * vX_[450];
+ vX_[1479] = (vX_[423] - vX_[1593] * vX_[435]) / vX_[583];
+ vX_[394] = (vX_[394] - (vX_[1566] * vX_[1479] + vX_[1334] * vX_[1593]) - vX_[1619] * vX_[1372]) / vX_[580];
+ vX_[464] = (vX_[464] - (vX_[1568] * vX_[394] + vX_[1145] * vX_[1619]) - (vX_[490] * vX_[1479] + vX_[1416] * vX_[1593]) - vX_[1628] * vX_[1093]) / vX_[582];
+ vX_[1366] = vX_[421] + vX_[1366] + vX_[465] - vX_[787] - vX_[1099] - (vX_[1610] * vX_[394] + vX_[1461] * vX_[1619]) - (vX_[1630] * vX_[1479] + vX_[423] * vX_[1593]) - (vX_[1627] * vX_[464] + vX_[1483] * vX_[1628]);
+ vX_[404] = (-1 * vX_[404] - (vX_[1610] * vX_[1447] + vX_[1461] * vX_[1677]) - (vX_[1630] * vX_[571] + vX_[423] * vX_[1518]) - (vX_[1627] * vX_[854] + vX_[1483] * vX_[1201]) - vX_[1110] * vX_[1366]) / vX_[1657];
+ vX_[1414] = - vX_[1414];
+ vX_[421] = vX_[370] * vX_[1414] + vX_[450] * vX_[410];
+ vX_[1406] = vX_[421] - (vX_[1587] * vX_[394] + vX_[455] * vX_[1619]) - (vX_[1611] * vX_[1479] + vX_[1395] * vX_[1593]) - (vX_[1575] * vX_[464] + vX_[442] * vX_[1628]);
+ vX_[1410] = (vX_[1395] - vX_[1612] * vX_[435]) / vX_[583];
+ vX_[433] = (vX_[433] - (vX_[1566] * vX_[1410] + vX_[1334] * vX_[1612]) - vX_[1613] * vX_[1372]) / vX_[580];
+ vX_[466] = (vX_[466] - (vX_[1568] * vX_[433] + vX_[1145] * vX_[1613]) - (vX_[490] * vX_[1410] + vX_[1416] * vX_[1612]) - vX_[1614] * vX_[1093]) / vX_[582];
+ vX_[421] = (vX_[421] - (vX_[1610] * vX_[433] + vX_[1461] * vX_[1613]) - (vX_[1630] * vX_[1410] + vX_[423] * vX_[1612]) - (vX_[1627] * vX_[466] + vX_[1483] * vX_[1614]) - vX_[1599] * vX_[1366]) / vX_[1657];
+ vX_[787] = vX_[465] + vX_[787] - (vX_[1587] * vX_[433] + vX_[455] * vX_[1613]) - (vX_[1611] * vX_[1410] + vX_[1395] * vX_[1612]) - (vX_[1575] * vX_[466] + vX_[442] * vX_[1614]) - (vX_[1629] * vX_[421] + vX_[1406] * vX_[1599]);
+ vX_[1412] = (vX_[1617] * vX_[1456] + vX_[1618] * vX_[1378] - (vX_[1587] * vX_[1447] + vX_[455] * vX_[1677]) - (vX_[1611] * vX_[571] + vX_[1395] * vX_[1518]) - (vX_[1575] * vX_[854] + vX_[442] * vX_[1201]) - (vX_[1629] * vX_[404] + vX_[1406] * vX_[1110]) - vX_[1691] * vX_[787]) / vX_[1654];
+ vX_[480] = vX_[480] * vX_[370] + vX_[574] * vX_[450];
+ vX_[1452] = vX_[1097] * vX_[450] + vX_[1359] * vX_[370] + vX_[1452];
+ vX_[1359] = vX_[480] - (vX_[1626] * vX_[1374] + vX_[1452] * vX_[1567]);
+ vX_[485] = vX_[485] * vX_[450] + vX_[1146] * vX_[370] + vX_[423];
+ vX_[1146] = vX_[485] - (vX_[748] * vX_[441] + vX_[1359] * vX_[1565]) - (vX_[1626] * vX_[426] + vX_[1452] * vX_[584]);
+ vX_[1414] = 0 - vX_[370] * vX_[410] - vX_[451] * vX_[1414];
+ vX_[410] = vX_[1414] - (vX_[748] * vX_[394] + vX_[1359] * vX_[1619]) - (vX_[1626] * vX_[1479] + vX_[1452] * vX_[1593]) - (vX_[484] * vX_[464] + vX_[1146] * vX_[1628]);
+ vX_[463] = vX_[432] * vX_[451] + vX_[463] * vX_[370];
+ vX_[432] = vX_[463] - (vX_[748] * vX_[433] + vX_[1359] * vX_[1613]) - (vX_[1626] * vX_[1410] + vX_[1452] * vX_[1612]) - (vX_[484] * vX_[466] + vX_[1146] * vX_[1614]) - (vX_[1664] * vX_[421] + vX_[410] * vX_[1599]);
+ vX_[435] = (vX_[1452] - vX_[1658] * vX_[435]) / vX_[583];
+ vX_[480] = (vX_[480] - (vX_[1566] * vX_[435] + vX_[1334] * vX_[1658]) - vX_[1659] * vX_[1372]) / vX_[580];
+ vX_[485] = (vX_[485] - (vX_[1568] * vX_[480] + vX_[1145] * vX_[1659]) - (vX_[490] * vX_[435] + vX_[1416] * vX_[1658]) - vX_[1660] * vX_[1093]) / vX_[582];
+ vX_[1414] = (vX_[1414] - (vX_[1610] * vX_[480] + vX_[1461] * vX_[1659]) - (vX_[1630] * vX_[435] + vX_[423] * vX_[1658]) - (vX_[1627] * vX_[485] + vX_[1483] * vX_[1660]) - vX_[1665] * vX_[1366]) / vX_[1657];
+ vX_[463] = (vX_[463] - (vX_[1587] * vX_[480] + vX_[455] * vX_[1659]) - (vX_[1611] * vX_[435] + vX_[1395] * vX_[1658]) - (vX_[1575] * vX_[485] + vX_[442] * vX_[1660]) - (vX_[1629] * vX_[1414] + vX_[1406] * vX_[1665]) - vX_[1666] * vX_[787]) / vX_[1654];
+ vX_[432] = (vX_[450] * vX_[1456] + vX_[1670] * vX_[1378] - (vX_[748] * vX_[1447] + vX_[1359] * vX_[1677]) - (vX_[1626] * vX_[571] + vX_[1452] * vX_[1518]) - (vX_[484] * vX_[854] + vX_[1146] * vX_[1201]) - (vX_[1664] * vX_[404] + vX_[410] * vX_[1110]) - (vX_[1584] * vX_[1412] + vX_[432] * vX_[1691]) - vX_[471] * (vX_[465] + vX_[1099] - (vX_[748] * vX_[480] + vX_[1359] * vX_[1659]) - (vX_[1626] * vX_[435] + vX_[1452] * vX_[1658]) - (vX_[484] * vX_[485] + vX_[1146] * vX_[1660]) - (vX_[1664] * vX_[1414] + vX_[410] * vX_[1665]) - (vX_[1584] * vX_[463] + vX_[432] * vX_[1666]))) / vX_[1656];
+ jac[275] = - vX_[432];
+ vX_[463] = vX_[1412] - (vX_[1666] * vX_[432] + vX_[463] * vX_[471]);
+ jac[274] = - vX_[463];
+ vX_[1414] = vX_[404] - (vX_[1665] * vX_[432] + vX_[1414] * vX_[471]) - (vX_[1599] * vX_[463] + vX_[421] * vX_[1353]);
+ jac[273] = - vX_[1414];
+ vX_[485] = vX_[854] - (vX_[1614] * vX_[463] + vX_[466] * vX_[1353]) - (vX_[1628] * vX_[1414] + vX_[464] * vX_[546]) - (vX_[1660] * vX_[432] + vX_[485] * vX_[471]);
+ jac[272] = - vX_[485];
+ vX_[480] = vX_[1447] - (vX_[1619] * vX_[1414] + vX_[394] * vX_[546]) - (vX_[1565] * vX_[485] + vX_[441] * vX_[536]) - (vX_[1613] * vX_[463] + vX_[433] * vX_[1353]) - (vX_[1659] * vX_[432] + vX_[480] * vX_[471]);
+ jac[270] = vX_[584] * vX_[485] + vX_[426] * vX_[536] + vX_[1567] * vX_[480] + vX_[1374] * vX_[1338] + vX_[1593] * vX_[1414] + vX_[1479] * vX_[546] + vX_[1612] * vX_[463] + vX_[1410] * vX_[1353] + vX_[1658] * vX_[432] + vX_[435] * vX_[471] - vX_[571];
+ jac[271] = - vX_[480];
+ vX_[480] = -1 * jac[270];
+ vX_[485] = -1 * vX_[624];
+ vX_[1414] = vX_[450] * jac[272] + vX_[370] * jac[271];
+ vX_[463] = vX_[450] * vX_[542] + vX_[370] * vX_[1605] + vX_[1213];
+ vX_[432] = vX_[370] * jac[272] + vX_[451] * jac[271];
+ vX_[435] = vX_[370] * vX_[542] + vX_[451] * vX_[1605] + vX_[1151];
+ vX_[1410] = -1 * jac[273];
+ vX_[1479] = 0.207 * jac[272] + vX_[1410];
+ vX_[426] = 0 - vX_[546];
+ vX_[1374] = -1 * vX_[426];
+ vX_[571] = 0.207 * vX_[542] + vX_[1374];
+ vX_[433] = vX_[453] * vX_[542] + vX_[452] * vX_[1605] + vX_[1573] * vX_[624] + vX_[450] * vX_[1632] + vX_[1617] * vX_[544] + vX_[955];
+ vX_[394] = vX_[1481] * jac[272] + vX_[1572] * jac[271] + vX_[448] * jac[270] + vX_[1670] * jac[275] + vX_[1618] * jac[274];
+ vX_[441] = vX_[1481] * vX_[542] + vX_[1572] * vX_[1605] + vX_[448] * vX_[624] + vX_[1670] * vX_[1632] + vX_[1618] * vX_[544] + vX_[1115];
+ vX_[1447] = (vX_[1087] - vX_[445] * vX_[485] - vX_[482] * vX_[463] - vX_[440] * vX_[435] - vX_[467] * vX_[571] - vX_[459] * vX_[433] - vX_[443] * vX_[441]) / vX_[445];
+ jac[276] = (vX_[1376] - (vX_[445] * vX_[480] + vX_[422] * vX_[485]) - (vX_[482] * vX_[1414] + vX_[1454] * vX_[463]) - (vX_[440] * vX_[432] + vX_[1465] * vX_[435]) - (vX_[467] * vX_[1479] + vX_[457] * vX_[571]) - (vX_[459] * (vX_[453] * jac[272] + vX_[452] * jac[271] + vX_[1573] * jac[270] + vX_[450] * jac[275] + vX_[1617] * jac[274]) + vX_[1382] * vX_[433]) - (vX_[443] * vX_[394] + vX_[456] * vX_[441]) - vX_[1447] * vX_[422]) / vX_[445];
+ vX_[457] = -1 * vX_[1414];
+ vX_[1376] = vX_[480] + jac[276];
+ vX_[456] = vX_[485] + vX_[1447];
+ vX_[1400] = vX_[371] * vX_[1479] + vX_[1343] * vX_[571] + vX_[1562] * vX_[394] + vX_[1091] * vX_[441] + vX_[1275] * vX_[1414] + vX_[1330] * vX_[463] + vX_[1400];
+ vX_[394] = vX_[398] * vX_[1479] + vX_[1432] * vX_[571] + vX_[371] * vX_[394] + vX_[1343] * vX_[441] + vX_[419] * vX_[1414] + vX_[1345] * vX_[463] + vX_[1418];
+ jac[277] = (vX_[1368] - vX_[395] * vX_[457] - vX_[402] * (vX_[371] * vX_[1376] + vX_[1343] * vX_[456] + vX_[399] * vX_[432] + vX_[1457] * vX_[435] + vX_[867]) - vX_[383] * (vX_[398] * vX_[1376] + vX_[1432] * vX_[456] + vX_[371] * vX_[432] + vX_[1343] * vX_[435] + vX_[1402]) - vX_[393] * vX_[1400] - vX_[406] * vX_[394]) / vX_[395];
+ vX_[457] = vX_[457] + jac[277];
+ jac[278] = (vX_[1484] - 0.1104774 * (vX_[372] * vX_[1400] + vX_[1520] * vX_[394] + vX_[1517] * vX_[457] + vX_[1335]) - -0.0004405 * (vX_[374] * vX_[1400] + vX_[372] * vX_[394] + vX_[377] * vX_[457] + vX_[744]) - 0.026181 * vX_[457]) / 0.026181;
+ vX_[457] = vX_[328] * jac[272] + vX_[249] * jac[271];
+ vX_[394] = vX_[330] * jac[272] + vX_[328] * jac[271];
+ vX_[1400] = 0.207 * jac[272] + jac[273];
+ vX_[1484] = vX_[1318] * jac[272] + vX_[1571] * jac[271] + vX_[327] * jac[270] + vX_[1669] * jac[275] + vX_[328] * jac[274];
+ jac[279] = (0 - vX_[324] * jac[270] - vX_[360] * vX_[457] - vX_[319] * vX_[394] - vX_[345] * vX_[1400] - vX_[337] * (vX_[331] * jac[272] + vX_[329] * jac[271] + vX_[368] * jac[270] + vX_[328] * jac[275] + vX_[249] * jac[274]) - vX_[322] * vX_[1484]) / vX_[324];
+ vX_[744] = jac[270] + jac[279];
+ vX_[1335] = vX_[1229] * vX_[1400] + vX_[1319] * vX_[1484] + vX_[1274] * vX_[457];
+ vX_[1484] = vX_[698] * vX_[1400] + vX_[250] * vX_[1484] + vX_[299] * vX_[457];
+ jac[280] = (0 - vX_[274] * vX_[457] - vX_[281] * (vX_[297] * vX_[744] + vX_[278] * vX_[394]) - vX_[262] * (vX_[278] * vX_[744] + vX_[250] * vX_[394]) - vX_[272] * vX_[1335] - vX_[285] * vX_[1484]) / vX_[274];
+ vX_[457] = vX_[457] + jac[280];
+ jac[281] = (0 - 0.1104774 * (vX_[251] * vX_[1335] + vX_[1276] * vX_[1484] + vX_[1252] * vX_[457]) - -0.0004405 * (vX_[253] * vX_[1335] + vX_[251] * vX_[1484] + vX_[256] * vX_[457]) - 0.026181 * vX_[457]) / 0.026181;
+ vX_[457] = vX_[208] * jac[272] + vX_[138] * jac[271];
+ vX_[1484] = vX_[138] * jac[272] + vX_[209] * jac[271];
+ vX_[1410] = 0.207 * jac[272] + vX_[1410];
+ vX_[1335] = vX_[998] * jac[272] + vX_[1570] * jac[271] + vX_[206] * jac[270] + vX_[1668] * jac[275] + vX_[1616] * jac[274];
+ jac[282] = (0 - vX_[203] * vX_[480] - vX_[240] * vX_[457] - vX_[198] * vX_[1484] - vX_[225] * vX_[1410] - vX_[217] * (vX_[211] * jac[272] + vX_[210] * jac[271] + vX_[248] * jac[270] + vX_[208] * jac[275] + vX_[1615] * jac[274]) - vX_[201] * vX_[1335]) / vX_[203];
+ vX_[744] = -1 * vX_[457];
+ vX_[480] = vX_[480] + jac[282];
+ vX_[394] = vX_[139] * vX_[1410] + vX_[1079] * vX_[1335] + vX_[790] * vX_[457];
+ vX_[1335] = vX_[159] * vX_[1410] + vX_[139] * vX_[1335] + vX_[177] * vX_[457];
+ jac[283] = (0 - vX_[156] * vX_[744] - 2.1e-05 * (vX_[139] * vX_[480] + vX_[160] * vX_[1484]) - -0.000102 * (vX_[159] * vX_[480] + vX_[139] * vX_[1484]) - vX_[154] * vX_[394] - vX_[164] * vX_[1335]) / vX_[156];
+ vX_[744] = vX_[744] + jac[283];
+ jac[284] = (0 - 0.110125 * (vX_[142] * vX_[394] + vX_[1037] * vX_[1335] + vX_[1034] * vX_[744]) - 0.000881 * (vX_[140] * vX_[394] + vX_[142] * vX_[1335] + vX_[141] * vX_[744]) - 0.026181 * vX_[744]) / 0.026181;
+ vX_[744] = vX_[96] * jac[272] + vX_[26] * jac[271];
+ vX_[1335] = vX_[98] * jac[272] + vX_[96] * jac[271];
+ vX_[394] = 0.207 * jac[272] + jac[273];
+ vX_[480] = vX_[834] * jac[272] + vX_[1569] * jac[271] + vX_[95] * jac[270] + vX_[1667] * jac[275] + vX_[96] * jac[274];
+ jac[285] = (0 - vX_[92] * jac[270] - vX_[128] * vX_[744] - vX_[87] * vX_[1335] - vX_[113] * vX_[394] - vX_[105] * (vX_[99] * jac[272] + vX_[97] * jac[271] + vX_[136] * jac[270] + vX_[96] * jac[275] + vX_[26] * jac[274]) - vX_[90] * vX_[480]) / vX_[92];
+ vX_[1484] = jac[270] + jac[285];
+ vX_[1410] = vX_[746] * vX_[394] + vX_[835] * vX_[480] + vX_[789] * vX_[744];
+ vX_[480] = vX_[613] * vX_[394] + vX_[13] * vX_[480] + vX_[67] * vX_[744];
+ jac[286] = (0 - vX_[42] * vX_[744] - vX_[49] * (vX_[65] * vX_[1484] + vX_[46] * vX_[1335]) - vX_[30] * (vX_[46] * vX_[1484] + vX_[13] * vX_[1335]) - vX_[40] * vX_[1410] - vX_[53] * vX_[480]) / vX_[42];
+ vX_[744] = vX_[744] + jac[286];
+ jac[287] = (0 - 0.1104774 * (vX_[15] * vX_[1410] + vX_[791] * vX_[480] + vX_[766] * vX_[744]) - 0.0004405 * (vX_[23] * vX_[1410] + vX_[15] * vX_[480] + vX_[25] * vX_[744]) - 0.026181 * vX_[744]) / 0.026181;
+ vX_[744] = -1 * sin(x_in[8]);
+ vX_[480] = cos(x_in[8]);
+ vX_[1410] = vX_[744] * vX_[877] + vX_[480] * vX_[866];
+ vX_[1484] = vX_[1410] * vX_[845];
+ vX_[1335] = 0.35 * vX_[480];
+ vX_[394] = vX_[480] * vX_[1455] + vX_[744] * vX_[1340] + vX_[1335] * vX_[849];
+ vX_[457] = vX_[593] * vX_[394];
+ vX_[1400] = - vX_[480];
+ vX_[1376] = vX_[1400] * vX_[877] + vX_[744] * vX_[866];
+ vX_[432] = vX_[1147] * vX_[1376] + vX_[1410] * vX_[1392];
+ vX_[1368] = vX_[1376] * vX_[593];
+ vX_[1402] = (- vX_[394]) * x_in[26];
+ vX_[867] = - vX_[480];
+ vX_[1457] = 0.35 * vX_[744];
+ vX_[1432] = vX_[744] * vX_[1455] + vX_[867] * vX_[1340] + vX_[1457] * vX_[849];
+ vX_[1343] = vX_[1432] * x_in[26];
+ vX_[1479] = vX_[1376] * x_in[26];
+ vX_[1469] = vX_[1449] * (vX_[1451] * vX_[480] - vX_[1453] * vX_[744]) + vX_[1460] * (vX_[1462] * vX_[480] - vX_[1464] * vX_[744]) + vX_[1467] * (vX_[1468] * vX_[480] - vX_[1469] * vX_[744]);
+ vX_[1473] = ((- vX_[1474]) * 100. * vX_[1469] * vX_[1472]) / vX_[1473];
+ vX_[1385] = vX_[1383] * vX_[480] - vX_[1385] * vX_[744];
+ vX_[1389] = vX_[1388] * vX_[480] - vX_[1389] * vX_[744];
+ vX_[1379] = (vX_[1367] * vX_[480] + vX_[1369] * vX_[744]) * x_in[26] + (vX_[1371] * vX_[744] + vX_[1373] * vX_[480]) * x_in[25] + (vX_[1377] * vX_[744] + vX_[1379] * vX_[480]) * x_in[24] + x_in[18] * vX_[1385] - x_in[19] * vX_[1389];
+ vX_[1419] = vX_[1417] * vX_[480] - vX_[1419] * vX_[744];
+ vX_[1389] = (vX_[1401] * vX_[480] + vX_[1403] * vX_[744]) * x_in[26] + (vX_[1405] * vX_[744] + vX_[1407] * vX_[480]) * x_in[25] + (vX_[1411] * vX_[480] - vX_[1413] * vX_[744]) * x_in[24] + x_in[20] * vX_[1389] - x_in[18] * vX_[1419];
+ vX_[1419] = (vX_[1426] * vX_[480] - vX_[1427] * vX_[744]) * x_in[26] + (vX_[1429] * vX_[480] - vX_[1430] * vX_[744]) * x_in[25] + x_in[19] * vX_[1419] - x_in[20] * vX_[1385];
+ vX_[1469] = vX_[1433] * vX_[1473] + -1000. * (vX_[1365] * vX_[1379] + vX_[1399] * vX_[1389] + vX_[1425] * vX_[1419]) * vX_[1474] + 5000. * -100. * vX_[1469] * vX_[1471];
+ vX_[1494] = vX_[1494] * vX_[1473] + -1000. * (vX_[1398] * vX_[1379] + vX_[1364] * vX_[1389] + vX_[1493] * vX_[1419]) * vX_[1474];
+ vX_[1419] = vX_[1361] * vX_[1473] + -1000. * (vX_[1424] * vX_[1379] + vX_[1492] * vX_[1389] + vX_[1396] * vX_[1419]) * vX_[1474];
+ vX_[1389] = vX_[1347] * vX_[1469] + vX_[1490] * vX_[1494] + vX_[1495] * vX_[1419];
+ vX_[1324] = vX_[1322] * vX_[480] - vX_[1324] * vX_[744];
+ vX_[1322] = vX_[1501] * vX_[1469] + vX_[1475] * vX_[1494] + vX_[1488] * vX_[1419];
+ vX_[1496] = vX_[1491] * vX_[480] - vX_[1496] * vX_[744];
+ vX_[1491] = vX_[1325] * vX_[1389] + vX_[1324] * vX_[1459] - (vX_[1498] * vX_[1322] + vX_[1496] * vX_[1443]);
+ vX_[1502] = vX_[1485] * vX_[480] - vX_[1502] * vX_[744];
+ vX_[1419] = vX_[1356] * vX_[1469] + vX_[1346] * vX_[1494] + vX_[1500] * vX_[1419];
+ vX_[1324] = vX_[1504] * vX_[1322] + vX_[1502] * vX_[1443] - (vX_[1325] * vX_[1419] + vX_[1324] * vX_[1476]);
+ vX_[1494] = vX_[1376] * vX_[845] - vX_[593] * vX_[1432];
+ vX_[1469] = 0.1104774 * (vX_[457] - vX_[1484]) + 0.025941 * vX_[432] - vX_[1321] * vX_[1491] - vX_[369] * vX_[1324] - vX_[1348] * vX_[1419] - vX_[1477] * vX_[1389] - vX_[1482] * vX_[1322] - 0.0004405 * vX_[1494];
+ vX_[1485] = 0 - vX_[1469];
+ vX_[1379] = vX_[1505] * vX_[480] + vX_[1506] * vX_[744];
+ vX_[1473] = vX_[398] * vX_[480] - vX_[371] * vX_[744];
+ vX_[1361] = vX_[1147] * vX_[1410] + vX_[1410] * vX_[1147];
+ vX_[1471] = -0.881 * (vX_[1484] - vX_[457]) + 0.1104774 * vX_[432] + -8.81e-05 * vX_[1368] + 0.414812462825713 * vX_[1402] + 0.00185880198235362 * vX_[1343] + 8.81e-05 * vX_[1479] + (0.1104774 * vX_[1485]) / 0.026181 - (vX_[1489] * vX_[1419] + (vX_[1499] * vX_[480] + vX_[1342] * vX_[744]) * vX_[1476]) - (vX_[1507] * vX_[1389] + vX_[1379] * vX_[1459]) - (vX_[1508] * vX_[1322] + vX_[1473] * vX_[1443]) - 0.0004405 * vX_[1361];
+ vX_[1433] = vX_[1410] * vX_[593];
+ vX_[1385] = (- vX_[1410]) * x_in[26];
+ vX_[1430] = vX_[1499] * vX_[744];
+ vX_[1506] = vX_[1506] * vX_[480] - vX_[1505] * vX_[744];
+ vX_[1505] = vX_[398] * vX_[744];
+ vX_[1429] = vX_[1392] * vX_[1376] + vX_[1376] * vX_[1392];
+ vX_[432] = 0.881 * vX_[1494] + -8.81e-05 * vX_[1433] + 0.0004405 * vX_[432] + 0.00185880198235362 * vX_[1402] + 0.880992588508842 * vX_[1343] + -8.81e-05 * vX_[1385] + (-0.0004405 * vX_[1485]) / 0.026181 - (vX_[1511] * vX_[1419] + (vX_[1342] * vX_[480] - vX_[1430]) * vX_[1476]) - (vX_[1512] * vX_[1389] + vX_[1506] * vX_[1459]) - (vX_[1515] * vX_[1322] + (vX_[1513] * vX_[480] - vX_[1505]) * vX_[1443]) - 0.1104774 * vX_[1429];
+ vX_[1513] = 8.81e-05 * vX_[480];
+ vX_[1342] = -8.81e-05 * vX_[744];
+ vX_[1427] = -0.35 * vX_[744];
+ vX_[1426] = 0.00185880198235362 * vX_[1335] - 0.414812462825713 * vX_[1427];
+ vX_[1413] = 0.881 * vX_[1427];
+ vX_[1411] = vX_[1426] + vX_[1413];
+ vX_[1407] = 0.880992588508842 * vX_[1335] - 0.00185880198235362 * vX_[1427];
+ vX_[1405] = - 0.881 * vX_[1335];
+ vX_[1403] = vX_[1407] + vX_[1405];
+ vX_[1401] = - vX_[1413];
+ vX_[1417] = vX_[372] * vX_[1401] + vX_[744] * vX_[386] + vX_[375] * vX_[1405] + vX_[1400] * vX_[390];
+ vX_[1377] = vX_[387] * vX_[744] + vX_[1411] * vX_[372] + vX_[391] * vX_[480] + vX_[1403] * vX_[374] + vX_[1417];
+ vX_[1407] = vX_[388] * vX_[1335] + vX_[1407] * vX_[377] - (vX_[384] * vX_[1427] + vX_[1426] * vX_[380]);
+ vX_[1426] = (vX_[1377] - vX_[396] * vX_[1407]) / vX_[395];
+ vX_[388] = -8.81e-05 * vX_[1335];
+ vX_[384] = 2. * vX_[388];
+ vX_[1373] = - 8.81e-05 * vX_[1427];
+ vX_[1371] = 2. * vX_[1373];
+ vX_[388] = - vX_[388];
+ vX_[1369] = vX_[379] * vX_[744] + vX_[384] * vX_[372] + vX_[382] * vX_[480] + vX_[1371] * vX_[374] + vX_[375] * vX_[1373] + vX_[1400] * vX_[381] + vX_[372] * vX_[388] + vX_[744] * vX_[378];
+ vX_[1367] = vX_[400] * vX_[744] + vX_[1513] * vX_[372] + vX_[401] * vX_[480] + vX_[1342] * vX_[374] - (vX_[402] * vX_[1426] + vX_[1369] * vX_[396]);
+ vX_[1388] = 8.81e-05 * vX_[744];
+ vX_[1383] = -8.81e-05 * vX_[1400];
+ vX_[388] = vX_[379] * vX_[1400] + vX_[384] * vX_[375] + vX_[382] * vX_[744] + vX_[1371] * vX_[372] - (vX_[372] * vX_[1373] + vX_[744] * vX_[381]) - (vX_[374] * vX_[388] + vX_[480] * vX_[378]);
+ vX_[1371] = vX_[373] * vX_[744] + vX_[1388] * vX_[372] + vX_[376] * vX_[480] + vX_[1383] * vX_[374] - (vX_[383] * vX_[1426] + vX_[388] * vX_[396]);
+ vX_[1373] = -7.4114911576828e-06 * vX_[480] + 0.00185880198235362 * vX_[744];
+ vX_[384] = 0.00185880198235362 * vX_[480] + -0.466187537174287 * vX_[744];
+ vX_[378] = vX_[427] * vX_[480] + vX_[1373] * vX_[374] + vX_[428] * vX_[744] + vX_[384] * vX_[372];
+ vX_[382] = vX_[378] - (vX_[393] * vX_[1426] + vX_[1377] * vX_[396]);
+ vX_[1401] = vX_[374] * vX_[1401] + vX_[480] * vX_[386] + vX_[372] * vX_[1405] + vX_[744] * vX_[390];
+ vX_[1403] = vX_[387] * vX_[1400] + vX_[1411] * vX_[375] + vX_[391] * vX_[744] + vX_[1403] * vX_[372] - vX_[1401];
+ vX_[384] = vX_[428] * vX_[1400] + vX_[384] * vX_[375] + vX_[427] * vX_[744] + vX_[1373] * vX_[372] - (vX_[406] * vX_[1426] + vX_[1403] * vX_[396]);
+ vX_[1469] = (0.026181 * vX_[1485]) / 0.026181 + vX_[1469] + vX_[1517] * vX_[1471] + vX_[1457] * vX_[1323] + vX_[377] * vX_[432] + vX_[1335] * vX_[1341];
+ vX_[1373] = 0 - vX_[1469];
+ vX_[1100] = vX_[372] * vX_[1471] + vX_[744] * vX_[1323] + vX_[374] * vX_[432] + vX_[480] * vX_[1341] + vX_[1367] * vX_[1470] + vX_[1371] * vX_[1422] + vX_[382] * vX_[656] + vX_[384] * vX_[1192] + (vX_[393] * vX_[1373] + vX_[1377] * vX_[1220] - vX_[1100] * vX_[1407]) / vX_[395];
+ vX_[1426] = (vX_[1403] - vX_[407] * vX_[1407]) / vX_[395];
+ vX_[1342] = vX_[400] * vX_[1400] + vX_[1513] * vX_[375] + vX_[401] * vX_[744] + vX_[1342] * vX_[372] - (vX_[402] * vX_[1426] + vX_[1369] * vX_[407]);
+ vX_[1383] = vX_[373] * vX_[1400] + vX_[1388] * vX_[375] + vX_[376] * vX_[744] + vX_[1383] * vX_[372] - (vX_[383] * vX_[1426] + vX_[388] * vX_[407]);
+ vX_[1426] = 0 - vX_[378] - (vX_[406] * vX_[1426] + vX_[1403] * vX_[407]);
+ vX_[432] = vX_[1520] * vX_[1471] + vX_[867] * vX_[1323] + vX_[372] * vX_[432] + vX_[744] * vX_[1341] + vX_[1342] * vX_[1470] + vX_[1383] * vX_[1422] + vX_[384] * vX_[656] + vX_[1426] * vX_[1192] + (vX_[406] * vX_[1373] + vX_[1403] * vX_[1220] - vX_[1363] * vX_[1407]) / vX_[395];
+ vX_[1471] = vX_[420] * vX_[1426] - vX_[418] * vX_[384];
+ vX_[1363] = vX_[420] * vX_[384] - vX_[418] * vX_[382];
+ vX_[1341] = vX_[1471] * vX_[420] - vX_[1363] * vX_[418];
+ vX_[1323] = vX_[1383] * vX_[420] - vX_[1371] * vX_[418];
+ vX_[378] = vX_[1342] * vX_[420] - vX_[1367] * vX_[418];
+ vX_[407] = - vX_[378];
+ vX_[1388] = vX_[399] * vX_[1323] + vX_[371] * vX_[407];
+ vX_[1413] = -0.2209548 * vX_[1427] + vX_[385] * vX_[1427] + vX_[1413] * vX_[380] - vX_[1407];
+ vX_[385] = 0 - 0.000881 * vX_[1335] - (vX_[389] * vX_[1335] + vX_[1405] * vX_[377]) - vX_[1407];
+ vX_[1405] = 0.0004405 * vX_[1427] + vX_[389] * vX_[1427] + vX_[1405] * vX_[380] - -0.1104774 * vX_[1335];
+ vX_[414] = vX_[374] * vX_[385] + vX_[480] * vX_[414] + vX_[372] * vX_[1405] + vX_[744] * vX_[411];
+ vX_[1405] = vX_[374] * vX_[1405] + vX_[480] * vX_[411] + vX_[372] * vX_[1413] + vX_[744] * vX_[412];
+ vX_[412] = vX_[415] * vX_[480] + vX_[414] * vX_[374] + vX_[413] * vX_[744] + vX_[1405] * vX_[372];
+ vX_[385] = vX_[1413] + vX_[385] + vX_[1407] - vX_[412] - (vX_[383] * (vX_[388] - vX_[437] * vX_[1407]) / vX_[395] + vX_[388] * vX_[437]);
+ vX_[1413] = vX_[385] - 2. * vX_[1401] * vX_[420] - vX_[1341];
+ vX_[437] = (vX_[1369] - vX_[416] * vX_[1407]) / vX_[395];
+ vX_[1405] = vX_[413] * vX_[1400] + vX_[1405] * vX_[375] + vX_[415] * vX_[744] + vX_[414] * vX_[372] - (vX_[383] * vX_[437] + vX_[388] * vX_[416]);
+ vX_[1417] = 0 - vX_[1417];
+ vX_[420] = vX_[1405] + vX_[1401] * vX_[418] - vX_[1417] * vX_[420];
+ vX_[414] = vX_[398] * vX_[1413] + vX_[371] * vX_[420];
+ vX_[437] = vX_[1407] + vX_[412] - (vX_[402] * vX_[437] + vX_[1369] * vX_[416]);
+ vX_[418] = 2. * vX_[1417] * vX_[418] + vX_[437] - vX_[1341];
+ vX_[420] = vX_[398] * vX_[420] + vX_[371] * vX_[418];
+ vX_[412] = vX_[414] * vX_[398] + vX_[420] * vX_[371];
+ vX_[416] = vX_[1341] + vX_[412];
+ vX_[415] = (vX_[1388] - vX_[534] * vX_[416]) / vX_[445];
+ vX_[413] = vX_[1341] - (vX_[482] * vX_[415] + vX_[1388] * vX_[534]);
+ vX_[420] = vX_[420] * vX_[399] + vX_[414] * vX_[371];
+ vX_[415] = -1 * 2. * vX_[378] * vX_[399] + -1 * 2. * vX_[1323] * vX_[371] + vX_[371] * vX_[1323] + vX_[398] * vX_[407] - (vX_[440] * vX_[415] + vX_[420] * vX_[534]);
+ vX_[407] = - vX_[1417];
+ vX_[378] = vX_[371] * vX_[407] + vX_[399] * vX_[1401];
+ vX_[1323] = (vX_[378] - vX_[460] * vX_[416]) / vX_[445];
+ vX_[534] = -(vX_[482] * vX_[1323] + vX_[1388] * vX_[460]);
+ vX_[1363] = -1 * (vX_[1363] + vX_[1417]);
+ vX_[1471] = -1 * (vX_[1471] + vX_[1401]);
+ vX_[407] = vX_[398] * vX_[407] + vX_[371] * vX_[1401];
+ vX_[414] = vX_[398] * vX_[1383] + vX_[371] * vX_[1342];
+ vX_[411] = vX_[398] * vX_[1371] + vX_[371] * vX_[1367];
+ vX_[1427] = vX_[414] * vX_[371] + vX_[411] * vX_[399];
+ vX_[389] = (vX_[1427] - vX_[446] * vX_[416]) / vX_[445];
+ vX_[380] = vX_[1363] * vX_[399] + vX_[1471] * vX_[371] + vX_[407] - (vX_[482] * vX_[389] + vX_[1388] * vX_[446]);
+ vX_[1502] = vX_[1498] * vX_[1419] + vX_[1496] * vX_[1476] - (vX_[1504] * vX_[1389] + vX_[1502] * vX_[1459]);
+ vX_[1432] = vX_[1147] * vX_[1432] + vX_[1410] * vX_[1487] - (vX_[1392] * vX_[394] + vX_[1376] * vX_[1466]);
+ vX_[1473] = -8.81e-05 * vX_[1494] + -8.81e-05 * vX_[1343] + 0.026409 * vX_[1385] - (vX_[1521] * vX_[1491] + (vX_[1499] * vX_[480] + vX_[1509] * vX_[744]) * vX_[1397]) - (vX_[1507] * vX_[1324] + vX_[1379] * vX_[1478]) - (vX_[1508] * vX_[1502] + vX_[1473] * vX_[1202]) - (vX_[1529] * vX_[1419] + (vX_[1525] * vX_[480] + vX_[1528] * vX_[744]) * vX_[1476]) - (vX_[1536] * vX_[1389] + (vX_[1532] * vX_[480] + vX_[1535] * vX_[744]) * vX_[1459]) - (vX_[1541] * vX_[1322] + (vX_[1538] * vX_[480] + vX_[1540] * vX_[744]) * vX_[1443]) - 0.1104774 * vX_[1432] - 0.025713 * vX_[1433];
+ vX_[1502] = 0.0004405 * vX_[1432] + -8.81e-05 * (vX_[1484] - vX_[457]) + -0.000227999999999999 * vX_[1368] + 8.81e-05 * vX_[1402] + 0.000468 * vX_[1479] - (vX_[1510] * vX_[1491] + (vX_[1509] * vX_[480] - vX_[1430]) * vX_[1397]) - (vX_[1512] * vX_[1324] + vX_[1506] * vX_[1478]) - (vX_[1514] * vX_[1502] + (vX_[1543] * vX_[480] - vX_[1505]) * vX_[1202]) - (vX_[1550] * vX_[1419] + (vX_[1546] * vX_[480] + vX_[1549] * vX_[744]) * vX_[1476]) - (vX_[1557] * vX_[1389] + (vX_[1553] * vX_[480] + vX_[1556] * vX_[744]) * vX_[1459]) - (vX_[1561] * vX_[1322] + (vX_[1558] * vX_[480] - vX_[1560] * vX_[744]) * vX_[1443]);
+ vX_[1432] = 0.881 * vX_[1432] + 0.1104774 * vX_[1433] + 0.0004405 * vX_[1368] + -0.1104774 * vX_[1385] + 0.0004405 * vX_[1479] - vX_[1326] * vX_[1419] - vX_[369] * vX_[1389] - -8.81e-05 * (vX_[1429] + vX_[1361]);
+ vX_[437] = vX_[372] * vX_[1473] + vX_[744] * vX_[1344] + vX_[374] * vX_[1502] + vX_[480] * vX_[1446] + -0.35 * vX_[1432] + vX_[437] * vX_[1470] + vX_[1405] * vX_[1422] + vX_[1367] * vX_[656] + vX_[1342] * vX_[1192] + (vX_[402] * vX_[1373] + vX_[1369] * vX_[1220] - vX_[1391] * vX_[1407]) / vX_[395];
+ vX_[1502] = vX_[375] * vX_[1473] + vX_[1400] * vX_[1344] + vX_[372] * vX_[1502] + vX_[744] * vX_[1446] + vX_[1405] * vX_[1470] + vX_[385] * vX_[1422] + vX_[1371] * vX_[656] + vX_[1383] * vX_[1192] + (vX_[383] * vX_[1373] + vX_[388] * vX_[1220] - vX_[1176] * vX_[1407]) / vX_[395];
+ vX_[1432] = vX_[1432] + vX_[1417] * vX_[1470] + vX_[1401] * vX_[1422];
+ vX_[1417] = vX_[371] * vX_[437] + vX_[398] * vX_[1502] + -0.08 * vX_[1432];
+ vX_[1401] = 0 - vX_[1417];
+ vX_[1469] = vX_[1275] * vX_[1100] + vX_[419] * vX_[432] + -1 * (vX_[1469] + (vX_[395] * vX_[1373] + vX_[1407] * vX_[1220] - vX_[1197] * vX_[1407]) / vX_[395]) + vX_[413] * vX_[1213] + vX_[415] * vX_[1151] + vX_[534] * vX_[955] + vX_[380] * vX_[1115] + (vX_[482] * vX_[1401] + vX_[1388] * vX_[1087] - vX_[910] * vX_[416]) / vX_[445];
+ vX_[412] = vX_[418] + vX_[1413] + vX_[1341] - vX_[412] - (vX_[440] * (vX_[420] - vX_[543] * vX_[416]) / vX_[445] + vX_[420] * vX_[543]);
+ vX_[407] = 0 - vX_[407] - (vX_[440] * vX_[1323] + vX_[420] * vX_[460]);
+ vX_[1371] = vX_[371] * vX_[1371] + vX_[399] * vX_[1367];
+ vX_[1383] = vX_[371] * vX_[1383] + vX_[399] * vX_[1342];
+ vX_[1342] = vX_[1371] * vX_[399] + vX_[1383] * vX_[371] - (vX_[440] * vX_[389] + vX_[420] * vX_[446]);
+ vX_[1502] = vX_[399] * vX_[437] + vX_[371] * vX_[1502] + vX_[415] * vX_[1213] + vX_[412] * vX_[1151] + vX_[407] * vX_[955] + vX_[1342] * vX_[1115] + (vX_[440] * vX_[1401] + vX_[420] * vX_[1087] - vX_[1101] * vX_[416]) / vX_[445];
+ vX_[411] = vX_[414] * vX_[398] + vX_[411] * vX_[371];
+ vX_[414] = (vX_[411] - vX_[468] * vX_[416]) / vX_[445];
+ vX_[1471] = vX_[1363] * vX_[371] + vX_[1471] * vX_[398] - vX_[378] - (vX_[482] * vX_[414] + vX_[1388] * vX_[468]);
+ vX_[1383] = vX_[1371] * vX_[371] + vX_[1383] * vX_[398] - (vX_[440] * vX_[414] + vX_[420] * vX_[468]);
+ vX_[1371] = -(vX_[459] * vX_[414] + vX_[378] * vX_[468]);
+ vX_[1363] = vX_[398] * vX_[384] + vX_[371] * vX_[382];
+ vX_[384] = vX_[398] * vX_[1426] + vX_[371] * vX_[384];
+ vX_[437] = vX_[1363] * vX_[399] + vX_[384] * vX_[371] - (vX_[443] * vX_[414] + vX_[1427] * vX_[468]);
+ vX_[1194] = vX_[371] * vX_[1100] + vX_[398] * vX_[432] + vX_[1471] * vX_[1213] + vX_[1383] * vX_[1151] + vX_[1371] * vX_[955] + vX_[437] * vX_[1115] + (vX_[467] * vX_[1401] + vX_[411] * vX_[1087] - vX_[1194] * vX_[416]) / vX_[445];
+ vX_[1101] = -(vX_[459] * vX_[1323] + vX_[378] * vX_[460]);
+ vX_[1323] = -(vX_[443] * vX_[1323] + vX_[1427] * vX_[460]);
+ vX_[1432] = -1 * vX_[1432] + vX_[534] * vX_[1213] + vX_[407] * vX_[1151] + vX_[1101] * vX_[955] + vX_[1323] * vX_[1115] + (vX_[459] * vX_[1401] + vX_[378] * vX_[1087] - vX_[873] * vX_[416]) / vX_[445];
+ vX_[384] = vX_[384] * vX_[398] + vX_[1363] * vX_[371];
+ vX_[389] = vX_[382] + vX_[1426] - vX_[384] - (vX_[443] * vX_[389] + vX_[1427] * vX_[446]);
+ vX_[432] = vX_[1562] * vX_[1100] + vX_[371] * vX_[432] + vX_[380] * vX_[1213] + vX_[1342] * vX_[1151] + vX_[1323] * vX_[955] + vX_[389] * vX_[1115] + (vX_[443] * vX_[1401] + vX_[1427] * vX_[1087] - vX_[1186] * vX_[416]) / vX_[445];
+ vX_[384] = vX_[384] - (vX_[467] * vX_[414] + vX_[411] * vX_[468]);
+ vX_[414] = vX_[474] * vX_[384] - vX_[454] * vX_[437];
+ vX_[468] = vX_[474] * vX_[437] - vX_[454] * vX_[389];
+ vX_[1100] = vX_[449] * vX_[389] - vX_[474] * vX_[1323];
+ vX_[1186] = vX_[449] * vX_[1323] - vX_[474] * vX_[1101];
+ vX_[1115] = vX_[1100] * vX_[449] - vX_[1186] * vX_[474];
+ vX_[413] = 2. * vX_[1471] * vX_[474] + vX_[413] + vX_[414] * vX_[474] - 2. * vX_[380] * vX_[454] - vX_[468] * vX_[454] - vX_[1115];
+ vX_[955] = vX_[454] * vX_[1101] - vX_[449] * vX_[1371];
+ vX_[1151] = vX_[454] * vX_[1371] - vX_[449] * vX_[384];
+ vX_[412] = 2. * vX_[407] * vX_[454] + vX_[412] + vX_[955] * vX_[454] - 2. * vX_[1383] * vX_[449] - vX_[1151] * vX_[449] - vX_[1115];
+ vX_[1213] = vX_[454] * vX_[1323];
+ vX_[1426] = vX_[449] * vX_[437];
+ vX_[382] = vX_[1213] - vX_[1426];
+ vX_[415] = vX_[534] * vX_[454] + vX_[415] + vX_[1383] * vX_[474] + vX_[1151] * vX_[474] - vX_[1342] * vX_[454] - vX_[1471] * vX_[449] - vX_[382] * vX_[454];
+ vX_[454] = vX_[370] * vX_[415];
+ vX_[446] = (vX_[451] * vX_[412] + vX_[454]) * vX_[451] + (vX_[451] * vX_[415] + vX_[370] * vX_[413]) * vX_[370];
+ vX_[415] = vX_[370] * vX_[412] + vX_[450] * vX_[415];
+ vX_[454] = vX_[454] + vX_[450] * vX_[413];
+ vX_[1363] = vX_[415] * vX_[370] + vX_[454] * vX_[450];
+ vX_[412] = vX_[413] + vX_[412] + vX_[1115] - vX_[446] - vX_[1363];
+ vX_[1417] = (vX_[1573] * vX_[1432] + vX_[448] * vX_[432] + -1 * (vX_[1417] + (vX_[445] * vX_[1401] + vX_[416] * vX_[1087] - vX_[1088] * vX_[416]) / vX_[445]) - vX_[1518] * vX_[412]) / vX_[583];
+ vX_[1088] = vX_[474] * vX_[1371];
+ vX_[1213] = vX_[1088] - vX_[1213];
+ vX_[1087] = vX_[534] * vX_[474] + vX_[1213] * vX_[474] - vX_[380] * vX_[449] - vX_[468] * vX_[449];
+ vX_[474] = vX_[1342] * vX_[449] + vX_[382] * vX_[449] - vX_[407] * vX_[474] - vX_[955] * vX_[474];
+ vX_[449] = vX_[370] * vX_[1087] + vX_[450] * vX_[474];
+ vX_[413] = (vX_[449] - vX_[1567] * vX_[412]) / vX_[583];
+ vX_[446] = vX_[1115] + vX_[446] - (vX_[1566] * vX_[413] + vX_[449] * vX_[1567]);
+ vX_[873] = (vX_[370] * vX_[1469] + vX_[451] * vX_[1502] + vX_[452] * vX_[1432] + vX_[1572] * vX_[432] - (vX_[1566] * vX_[1417] + vX_[449] * vX_[1518]) - vX_[1677] * vX_[446]) / vX_[580];
+ vX_[454] = vX_[415] * vX_[451] + vX_[454] * vX_[370];
+ vX_[474] = 0 - vX_[370] * vX_[474] - vX_[451] * vX_[1087];
+ vX_[1087] = vX_[454] - (vX_[490] * vX_[413] + vX_[474] * vX_[1567]);
+ vX_[415] = (vX_[474] - vX_[584] * vX_[412]) / vX_[583];
+ vX_[454] = (vX_[454] - (vX_[1566] * vX_[415] + vX_[449] * vX_[584]) - vX_[1565] * vX_[446]) / vX_[580];
+ vX_[1363] = vX_[1115] + vX_[1363] - (vX_[1568] * vX_[454] + vX_[1087] * vX_[1565]) - (vX_[490] * vX_[415] + vX_[474] * vX_[584]);
+ vX_[1502] = (vX_[450] * vX_[1469] + vX_[370] * vX_[1502] + 0.207 * vX_[1194] + vX_[453] * vX_[1432] + vX_[1481] * vX_[432] - (vX_[1568] * vX_[873] + vX_[1087] * vX_[1677]) - (vX_[490] * vX_[1417] + vX_[474] * vX_[1518]) - vX_[1201] * vX_[1363]) / vX_[582];
+ vX_[955] = vX_[955] + vX_[407];
+ vX_[1088] = vX_[1426] - vX_[1088];
+ vX_[1213] = vX_[534] + vX_[1213] - vX_[1088];
+ vX_[534] = vX_[451] * vX_[955] + vX_[370] * vX_[1213];
+ vX_[382] = vX_[1342] + vX_[382] - vX_[1088];
+ vX_[468] = vX_[468] + vX_[380];
+ vX_[380] = vX_[451] * vX_[382] + vX_[370] * vX_[468];
+ vX_[1342] = vX_[534] * vX_[370] + vX_[380] * vX_[451] + vX_[1088];
+ vX_[414] = vX_[414] + vX_[1471];
+ vX_[1186] = -1 * (vX_[1186] + vX_[414]);
+ vX_[1151] = vX_[1151] + vX_[1383];
+ vX_[1100] = -1 * (vX_[1100] + vX_[1151]);
+ vX_[414] = - vX_[414];
+ vX_[1383] = vX_[370] * vX_[414] + vX_[450] * vX_[1151];
+ vX_[1471] = vX_[1186] * vX_[370] + vX_[1100] * vX_[451] - vX_[1383];
+ vX_[1426] = vX_[1342] - (vX_[1611] * vX_[413] + vX_[1471] * vX_[1567]);
+ vX_[468] = vX_[370] * vX_[382] + vX_[450] * vX_[468];
+ vX_[1213] = vX_[370] * vX_[955] + vX_[450] * vX_[1213];
+ vX_[955] = vX_[468] * vX_[451] + vX_[1213] * vX_[370];
+ vX_[382] = vX_[955] - (vX_[1587] * vX_[454] + vX_[1426] * vX_[1565]) - (vX_[1611] * vX_[415] + vX_[1471] * vX_[584]);
+ vX_[407] = vX_[1383] - (vX_[1630] * vX_[413] + vX_[1088] * vX_[1567]);
+ vX_[414] = vX_[451] * vX_[414] + vX_[370] * vX_[1151];
+ vX_[1151] = - vX_[414];
+ vX_[1469] = vX_[1151] - (vX_[1610] * vX_[454] + vX_[407] * vX_[1565]) - (vX_[1630] * vX_[415] + vX_[1088] * vX_[584]);
+ vX_[1101] = vX_[1101] - vX_[384];
+ vX_[389] = vX_[389] - vX_[384];
+ vX_[1115] = vX_[370] * vX_[1323];
+ vX_[460] = (vX_[451] * vX_[389] + vX_[1115]) * vX_[451] + (vX_[451] * vX_[1323] + vX_[370] * vX_[1101]) * vX_[370];
+ vX_[1323] = vX_[370] * vX_[389] + vX_[450] * vX_[1323];
+ vX_[1115] = vX_[1115] + vX_[450] * vX_[1101];
+ vX_[1367] = vX_[1323] * vX_[370] + vX_[1115] * vX_[450];
+ vX_[418] = (vX_[1088] - vX_[1593] * vX_[412]) / vX_[583];
+ vX_[1383] = (vX_[1383] - (vX_[1566] * vX_[418] + vX_[449] * vX_[1593]) - vX_[1619] * vX_[446]) / vX_[580];
+ vX_[1151] = (vX_[1151] - (vX_[1568] * vX_[1383] + vX_[1087] * vX_[1619]) - (vX_[490] * vX_[418] + vX_[474] * vX_[1593]) - vX_[1628] * vX_[1363]) / vX_[582];
+ vX_[389] = vX_[1101] + vX_[389] + vX_[384] - vX_[460] - vX_[1367] - (vX_[1610] * vX_[1383] + vX_[407] * vX_[1619]) - (vX_[1630] * vX_[418] + vX_[1088] * vX_[1593]) - (vX_[1627] * vX_[1151] + vX_[1469] * vX_[1628]);
+ vX_[1194] = (-1 * vX_[1194] - (vX_[1610] * vX_[873] + vX_[407] * vX_[1677]) - (vX_[1630] * vX_[1417] + vX_[1088] * vX_[1518]) - (vX_[1627] * vX_[1502] + vX_[1469] * vX_[1201]) - vX_[1110] * vX_[389]) / vX_[1657];
+ vX_[1371] = - vX_[1371];
+ vX_[1101] = vX_[370] * vX_[1371] + vX_[450] * vX_[437];
+ vX_[1413] = vX_[1101] - (vX_[1587] * vX_[1383] + vX_[1426] * vX_[1619]) - (vX_[1611] * vX_[418] + vX_[1471] * vX_[1593]) - (vX_[1575] * vX_[1151] + vX_[382] * vX_[1628]);
+ vX_[1341] = (vX_[1471] - vX_[1612] * vX_[412]) / vX_[583];
+ vX_[1342] = (vX_[1342] - (vX_[1566] * vX_[1341] + vX_[449] * vX_[1612]) - vX_[1613] * vX_[446]) / vX_[580];
+ vX_[955] = (vX_[955] - (vX_[1568] * vX_[1342] + vX_[1087] * vX_[1613]) - (vX_[490] * vX_[1341] + vX_[474] * vX_[1612]) - vX_[1614] * vX_[1363]) / vX_[582];
+ vX_[1101] = (vX_[1101] - (vX_[1610] * vX_[1342] + vX_[407] * vX_[1613]) - (vX_[1630] * vX_[1341] + vX_[1088] * vX_[1612]) - (vX_[1627] * vX_[955] + vX_[1469] * vX_[1614]) - vX_[1599] * vX_[389]) / vX_[1657];
+ vX_[460] = vX_[384] + vX_[460] - (vX_[1587] * vX_[1342] + vX_[1426] * vX_[1613]) - (vX_[1611] * vX_[1341] + vX_[1471] * vX_[1612]) - (vX_[1575] * vX_[955] + vX_[382] * vX_[1614]) - (vX_[1629] * vX_[1101] + vX_[1413] * vX_[1599]);
+ vX_[543] = (vX_[1617] * vX_[1432] + vX_[1618] * vX_[432] - (vX_[1587] * vX_[873] + vX_[1426] * vX_[1677]) - (vX_[1611] * vX_[1417] + vX_[1471] * vX_[1518]) - (vX_[1575] * vX_[1502] + vX_[382] * vX_[1201]) - (vX_[1629] * vX_[1194] + vX_[1413] * vX_[1110]) - vX_[1691] * vX_[460]) / vX_[1654];
+ vX_[380] = vX_[380] * vX_[370] + vX_[534] * vX_[450];
+ vX_[414] = vX_[1186] * vX_[450] + vX_[1100] * vX_[370] + vX_[414];
+ vX_[1100] = vX_[380] - (vX_[1626] * vX_[413] + vX_[414] * vX_[1567]);
+ vX_[1213] = vX_[1213] * vX_[450] + vX_[468] * vX_[370] + vX_[1088];
+ vX_[468] = vX_[1213] - (vX_[748] * vX_[454] + vX_[1100] * vX_[1565]) - (vX_[1626] * vX_[415] + vX_[414] * vX_[584]);
+ vX_[1371] = 0 - vX_[370] * vX_[437] - vX_[451] * vX_[1371];
+ vX_[437] = vX_[1371] - (vX_[748] * vX_[1383] + vX_[1100] * vX_[1619]) - (vX_[1626] * vX_[418] + vX_[414] * vX_[1593]) - (vX_[484] * vX_[1151] + vX_[468] * vX_[1628]);
+ vX_[1115] = vX_[1323] * vX_[451] + vX_[1115] * vX_[370];
+ vX_[1323] = vX_[1115] - (vX_[748] * vX_[1342] + vX_[1100] * vX_[1613]) - (vX_[1626] * vX_[1341] + vX_[414] * vX_[1612]) - (vX_[484] * vX_[955] + vX_[468] * vX_[1614]) - (vX_[1664] * vX_[1101] + vX_[437] * vX_[1599]);
+ vX_[412] = (vX_[414] - vX_[1658] * vX_[412]) / vX_[583];
+ vX_[380] = (vX_[380] - (vX_[1566] * vX_[412] + vX_[449] * vX_[1658]) - vX_[1659] * vX_[446]) / vX_[580];
+ vX_[1213] = (vX_[1213] - (vX_[1568] * vX_[380] + vX_[1087] * vX_[1659]) - (vX_[490] * vX_[412] + vX_[474] * vX_[1658]) - vX_[1660] * vX_[1363]) / vX_[582];
+ vX_[1371] = (vX_[1371] - (vX_[1610] * vX_[380] + vX_[407] * vX_[1659]) - (vX_[1630] * vX_[412] + vX_[1088] * vX_[1658]) - (vX_[1627] * vX_[1213] + vX_[1469] * vX_[1660]) - vX_[1665] * vX_[389]) / vX_[1657];
+ vX_[1115] = (vX_[1115] - (vX_[1587] * vX_[380] + vX_[1426] * vX_[1659]) - (vX_[1611] * vX_[412] + vX_[1471] * vX_[1658]) - (vX_[1575] * vX_[1213] + vX_[382] * vX_[1660]) - (vX_[1629] * vX_[1371] + vX_[1413] * vX_[1665]) - vX_[1666] * vX_[460]) / vX_[1654];
+ vX_[1323] = (vX_[450] * vX_[1432] + vX_[1670] * vX_[432] - (vX_[748] * vX_[873] + vX_[1100] * vX_[1677]) - (vX_[1626] * vX_[1417] + vX_[414] * vX_[1518]) - (vX_[484] * vX_[1502] + vX_[468] * vX_[1201]) - (vX_[1664] * vX_[1194] + vX_[437] * vX_[1110]) - (vX_[1584] * vX_[543] + vX_[1323] * vX_[1691]) - vX_[471] * (vX_[384] + vX_[1367] - (vX_[748] * vX_[380] + vX_[1100] * vX_[1659]) - (vX_[1626] * vX_[412] + vX_[414] * vX_[1658]) - (vX_[484] * vX_[1213] + vX_[468] * vX_[1660]) - (vX_[1664] * vX_[1371] + vX_[437] * vX_[1665]) - (vX_[1584] * vX_[1115] + vX_[1323] * vX_[1666]))) / vX_[1656];
+ jac[311] = - vX_[1323];
+ vX_[1115] = vX_[543] - (vX_[1666] * vX_[1323] + vX_[1115] * vX_[471]);
+ jac[310] = - vX_[1115];
+ vX_[1371] = vX_[1194] - (vX_[1665] * vX_[1323] + vX_[1371] * vX_[471]) - (vX_[1599] * vX_[1115] + vX_[1101] * vX_[1353]);
+ jac[309] = - vX_[1371];
+ vX_[1213] = vX_[1502] - (vX_[1614] * vX_[1115] + vX_[955] * vX_[1353]) - (vX_[1628] * vX_[1371] + vX_[1151] * vX_[546]) - (vX_[1660] * vX_[1323] + vX_[1213] * vX_[471]);
+ jac[308] = - vX_[1213];
+ vX_[380] = vX_[873] - (vX_[1619] * vX_[1371] + vX_[1383] * vX_[546]) - (vX_[1565] * vX_[1213] + vX_[454] * vX_[536]) - (vX_[1613] * vX_[1115] + vX_[1342] * vX_[1353]) - (vX_[1659] * vX_[1323] + vX_[380] * vX_[471]);
+ jac[306] = vX_[584] * vX_[1213] + vX_[415] * vX_[536] + vX_[1567] * vX_[380] + vX_[413] * vX_[1338] + vX_[1593] * vX_[1371] + vX_[418] * vX_[546] + vX_[1612] * vX_[1115] + vX_[1341] * vX_[1353] + vX_[1658] * vX_[1323] + vX_[412] * vX_[471] - vX_[1417];
+ jac[307] = - vX_[380];
+ vX_[380] = -1 * jac[306];
+ vX_[1213] = vX_[450] * jac[308] + vX_[370] * jac[307];
+ vX_[1371] = vX_[370] * jac[308] + vX_[451] * jac[307];
+ vX_[1115] = -1 * jac[309];
+ vX_[1323] = 0.207 * jac[308] + vX_[1115];
+ vX_[412] = vX_[1481] * jac[308] + vX_[1572] * jac[307] + vX_[448] * jac[306] + vX_[1670] * jac[311] + vX_[1618] * jac[310];
+ jac[312] = (vX_[1401] - (vX_[445] * vX_[380] + vX_[416] * vX_[485]) - (vX_[482] * vX_[1213] + vX_[1388] * vX_[463]) - (vX_[440] * vX_[1371] + vX_[420] * vX_[435]) - (vX_[467] * vX_[1323] + vX_[411] * vX_[571]) - (vX_[459] * (vX_[453] * jac[308] + vX_[452] * jac[307] + vX_[1573] * jac[306] + vX_[450] * jac[311] + vX_[1617] * jac[310]) + vX_[378] * vX_[433]) - (vX_[443] * vX_[412] + vX_[1427] * vX_[441]) - vX_[1447] * vX_[416]) / vX_[445];
+ vX_[411] = -1 * vX_[1213];
+ vX_[1401] = -1 * vX_[463];
+ vX_[1427] = vX_[380] + jac[312];
+ vX_[1470] = vX_[371] * vX_[456] + vX_[399] * vX_[435] + vX_[1470];
+ vX_[456] = vX_[398] * vX_[456] + vX_[371] * vX_[435] + vX_[1422];
+ vX_[435] = vX_[371] * vX_[1323] + vX_[1562] * vX_[412] + vX_[1275] * vX_[1213];
+ vX_[656] = vX_[371] * vX_[571] + vX_[1562] * vX_[441] + vX_[1275] * vX_[463] + vX_[656];
+ vX_[412] = vX_[398] * vX_[1323] + vX_[371] * vX_[412] + vX_[419] * vX_[1213];
+ vX_[441] = vX_[398] * vX_[571] + vX_[371] * vX_[441] + vX_[419] * vX_[463] + vX_[1192];
+ vX_[1220] = (vX_[1220] - vX_[395] * vX_[1401] - vX_[402] * vX_[1470] - vX_[383] * vX_[456] - vX_[393] * vX_[656] - vX_[406] * vX_[441]) / vX_[395];
+ jac[313] = (vX_[1373] - (vX_[395] * vX_[411] + vX_[1407] * vX_[1401]) - (vX_[402] * (vX_[371] * vX_[1427] + vX_[399] * vX_[1371]) + vX_[1369] * vX_[1470]) - (vX_[383] * (vX_[398] * vX_[1427] + vX_[371] * vX_[1371]) + vX_[388] * vX_[456]) - (vX_[393] * vX_[435] + vX_[1377] * vX_[656]) - (vX_[406] * vX_[412] + vX_[1403] * vX_[441]) - vX_[1220] * vX_[1407]) / vX_[395];
+ vX_[411] = vX_[411] + jac[313];
+ vX_[1220] = vX_[1401] + vX_[1220];
+ jac[314] = (vX_[1485] - 0.1104774 * (vX_[372] * vX_[435] + vX_[744] * vX_[656] + vX_[1520] * vX_[412] + vX_[867] * vX_[441] + vX_[1517] * vX_[411] + vX_[1457] * vX_[1220] + vX_[1402]) - -0.0004405 * (vX_[374] * vX_[435] + vX_[480] * vX_[656] + vX_[372] * vX_[412] + vX_[744] * vX_[441] + vX_[377] * vX_[411] + vX_[1335] * vX_[1220] + vX_[1343]) - 0.026181 * vX_[411]) / 0.026181;
+ vX_[1220] = vX_[328] * jac[308] + vX_[249] * jac[307];
+ vX_[411] = vX_[330] * jac[308] + vX_[328] * jac[307];
+ vX_[441] = 0.207 * jac[308] + jac[309];
+ vX_[412] = vX_[1318] * jac[308] + vX_[1571] * jac[307] + vX_[327] * jac[306] + vX_[1669] * jac[311] + vX_[328] * jac[310];
+ jac[315] = (0 - vX_[324] * jac[306] - vX_[360] * vX_[1220] - vX_[319] * vX_[411] - vX_[345] * vX_[441] - vX_[337] * (vX_[331] * jac[308] + vX_[329] * jac[307] + vX_[368] * jac[306] + vX_[328] * jac[311] + vX_[249] * jac[310]) - vX_[322] * vX_[412]) / vX_[324];
+ vX_[656] = jac[306] + jac[315];
+ vX_[435] = vX_[1229] * vX_[441] + vX_[1319] * vX_[412] + vX_[1274] * vX_[1220];
+ vX_[412] = vX_[698] * vX_[441] + vX_[250] * vX_[412] + vX_[299] * vX_[1220];
+ jac[316] = (0 - vX_[274] * vX_[1220] - vX_[281] * (vX_[297] * vX_[656] + vX_[278] * vX_[411]) - vX_[262] * (vX_[278] * vX_[656] + vX_[250] * vX_[411]) - vX_[272] * vX_[435] - vX_[285] * vX_[412]) / vX_[274];
+ vX_[1220] = vX_[1220] + jac[316];
+ jac[317] = (0 - 0.1104774 * (vX_[251] * vX_[435] + vX_[1276] * vX_[412] + vX_[1252] * vX_[1220]) - -0.0004405 * (vX_[253] * vX_[435] + vX_[251] * vX_[412] + vX_[256] * vX_[1220]) - 0.026181 * vX_[1220]) / 0.026181;
+ vX_[1220] = vX_[208] * jac[308] + vX_[138] * jac[307];
+ vX_[412] = vX_[138] * jac[308] + vX_[209] * jac[307];
+ vX_[1115] = 0.207 * jac[308] + vX_[1115];
+ vX_[435] = vX_[998] * jac[308] + vX_[1570] * jac[307] + vX_[206] * jac[306] + vX_[1668] * jac[311] + vX_[1616] * jac[310];
+ jac[318] = (0 - vX_[203] * vX_[380] - vX_[240] * vX_[1220] - vX_[198] * vX_[412] - vX_[225] * vX_[1115] - vX_[217] * (vX_[211] * jac[308] + vX_[210] * jac[307] + vX_[248] * jac[306] + vX_[208] * jac[311] + vX_[1615] * jac[310]) - vX_[201] * vX_[435]) / vX_[203];
+ vX_[656] = -1 * vX_[1220];
+ vX_[380] = vX_[380] + jac[318];
+ vX_[411] = vX_[139] * vX_[1115] + vX_[1079] * vX_[435] + vX_[790] * vX_[1220];
+ vX_[435] = vX_[159] * vX_[1115] + vX_[139] * vX_[435] + vX_[177] * vX_[1220];
+ jac[319] = (0 - vX_[156] * vX_[656] - 2.1e-05 * (vX_[139] * vX_[380] + vX_[160] * vX_[412]) - -0.000102 * (vX_[159] * vX_[380] + vX_[139] * vX_[412]) - vX_[154] * vX_[411] - vX_[164] * vX_[435]) / vX_[156];
+ vX_[656] = vX_[656] + jac[319];
+ jac[320] = (0 - 0.110125 * (vX_[142] * vX_[411] + vX_[1037] * vX_[435] + vX_[1034] * vX_[656]) - 0.000881 * (vX_[140] * vX_[411] + vX_[142] * vX_[435] + vX_[141] * vX_[656]) - 0.026181 * vX_[656]) / 0.026181;
+ vX_[656] = vX_[96] * jac[308] + vX_[26] * jac[307];
+ vX_[435] = vX_[98] * jac[308] + vX_[96] * jac[307];
+ vX_[411] = 0.207 * jac[308] + jac[309];
+ vX_[380] = vX_[834] * jac[308] + vX_[1569] * jac[307] + vX_[95] * jac[306] + vX_[1667] * jac[311] + vX_[96] * jac[310];
+ jac[321] = (0 - vX_[92] * jac[306] - vX_[128] * vX_[656] - vX_[87] * vX_[435] - vX_[113] * vX_[411] - vX_[105] * (vX_[99] * jac[308] + vX_[97] * jac[307] + vX_[136] * jac[306] + vX_[96] * jac[311] + vX_[26] * jac[310]) - vX_[90] * vX_[380]) / vX_[92];
+ vX_[412] = jac[306] + jac[321];
+ vX_[1115] = vX_[746] * vX_[411] + vX_[835] * vX_[380] + vX_[789] * vX_[656];
+ vX_[380] = vX_[613] * vX_[411] + vX_[13] * vX_[380] + vX_[67] * vX_[656];
+ jac[322] = (0 - vX_[42] * vX_[656] - vX_[49] * (vX_[65] * vX_[412] + vX_[46] * vX_[435]) - vX_[30] * (vX_[46] * vX_[412] + vX_[13] * vX_[435]) - vX_[40] * vX_[1115] - vX_[53] * vX_[380]) / vX_[42];
+ vX_[656] = vX_[656] + jac[322];
+ jac[323] = (0 - 0.1104774 * (vX_[15] * vX_[1115] + vX_[791] * vX_[380] + vX_[766] * vX_[656]) - 0.0004405 * (vX_[23] * vX_[1115] + vX_[15] * vX_[380] + vX_[25] * vX_[656]) - 0.026181 * vX_[656]) / 0.026181;
+ vX_[656] = -1 * sin(x_in[9]);
+ vX_[380] = cos(x_in[9]);
+ vX_[1115] = vX_[656] * x_in[19] + vX_[380] * x_in[20];
+ vX_[412] = 0.3735 * vX_[656];
+ vX_[435] = -0.3735 * vX_[380];
+ vX_[411] = -0.207 * vX_[380];
+ vX_[1220] = vX_[412] * x_in[20] + vX_[435] * x_in[19] + vX_[411] * x_in[18] + vX_[380] * x_in[23] + vX_[656] * x_in[22];
+ vX_[441] = vX_[1115] * vX_[1349] - vX_[1441] * vX_[1220];
+ vX_[1485] = vX_[1115] * vX_[1441];
+ vX_[1343] = - vX_[656];
+ vX_[1457] = vX_[380] * x_in[19] + vX_[1343] * x_in[20];
+ vX_[867] = vX_[1198] * vX_[1457] + vX_[1457] * vX_[1198];
+ vX_[1402] = 0.3735 * vX_[380];
+ vX_[1335] = 0.3735 * vX_[656];
+ vX_[480] = 0.207 * vX_[656];
+ vX_[744] = - vX_[656];
+ vX_[1401] = vX_[1402] * x_in[20] + vX_[1335] * x_in[19] + vX_[480] * x_in[18] + vX_[744] * x_in[23] + vX_[380] * x_in[22];
+ vX_[456] = vX_[250] * vX_[1401] + vX_[299] * vX_[1115];
+ vX_[1470] = vX_[847] * vX_[456] + vX_[1115] * vX_[842];
+ vX_[1427] = vX_[250] * vX_[1457];
+ vX_[1371] = vX_[1190] * vX_[1220] + vX_[1427] * vX_[957];
+ vX_[1373] = vX_[278] * vX_[1457];
+ vX_[1403] = vX_[1190] * vX_[1373] + vX_[1427] * vX_[1328];
+ vX_[388] = vX_[1190] * vX_[1115] + vX_[1427] * vX_[847];
+ vX_[1369] = vX_[1319] * vX_[1401] + vX_[1274] * vX_[1115];
+ vX_[1407] = vX_[253] * vX_[1369] + vX_[251] * vX_[456] + vX_[256] * vX_[1115];
+ vX_[1377] = vX_[953] * vX_[1407] + vX_[1115] * vX_[1434];
+ vX_[571] = -0.35 * vX_[1373] + vX_[1220];
+ vX_[463] = vX_[251] * vX_[1427] + vX_[253] * vX_[1373];
+ vX_[1192] = vX_[700] * vX_[571] + vX_[463] * vX_[863];
+ vX_[1323] = vX_[254] * vX_[1427] + vX_[251] * vX_[1373];
+ vX_[1213] = vX_[700] * vX_[1323] + vX_[463] * vX_[1084];
+ vX_[1422] = vX_[1203] * (0.33 * vX_[656] * vX_[1122] * vX_[253] - 0.33 * vX_[656] * vX_[250] * vX_[251] - 0.35 * vX_[656] * vX_[250] - 0.08 * vX_[656]) + vX_[1214] * (0.33 * vX_[380] * vX_[250] * vX_[251] + -0.33 * vX_[380] * vX_[1122] * vX_[253] + 0.35 * vX_[380] * vX_[250] + 0.08 * vX_[380]);
+ vX_[378] = ((- vX_[1228]) * 100. * vX_[1422] * vX_[1226]) / vX_[1227];
+ vX_[420] = 0.33 * vX_[656];
+ vX_[416] = -0.33 * vX_[380];
+ vX_[1388] = 0.33 * vX_[380] * vX_[250] * vX_[251] + -0.33 * vX_[380] * vX_[1122] * vX_[253] + 0.35 * vX_[380] * vX_[250] + 0.08 * vX_[380];
+ vX_[420] = (vX_[420] * vX_[250] * vX_[253] + 0.33 * vX_[656] * vX_[1122] * vX_[251]) * x_in[29] + (vX_[420] * vX_[1122] * vX_[251] + 0.33 * vX_[656] * vX_[250] * vX_[253] + 0.35 * vX_[656] * vX_[1122]) * x_in[28] + (0.33 * vX_[380] * vX_[250] * vX_[251] + vX_[416] * vX_[1122] * vX_[253] + 0.35 * vX_[380] * vX_[250] + 0.08 * vX_[380]) * x_in[27] + x_in[18] * vX_[1388];
+ vX_[1447] = 0.33 * vX_[656] * vX_[1122] * vX_[253] - 0.33 * vX_[656] * vX_[250] * vX_[251] - 0.35 * vX_[656] * vX_[250] - 0.08 * vX_[656];
+ vX_[416] = (-0.33 * vX_[380] * vX_[250] * vX_[253] - 0.33 * vX_[380] * vX_[1122] * vX_[251]) * x_in[29] + (vX_[416] * vX_[250] * vX_[253] - 0.33 * vX_[380] * vX_[1122] * vX_[251] - 0.35 * vX_[380] * vX_[1122]) * x_in[28] + (0.33 * vX_[656] * vX_[250] * vX_[251] + -0.33 * vX_[656] * vX_[1122] * vX_[253] + 0.35 * vX_[656] * vX_[250] + 0.08 * vX_[656]) * x_in[27] - x_in[18] * vX_[1447];
+ vX_[1447] = x_in[19] * vX_[1447] - x_in[20] * vX_[1388];
+ vX_[1422] = vX_[1187] * vX_[378] + -1000. * (vX_[1118] * vX_[420] + vX_[1153] * vX_[416] + vX_[1179] * vX_[1447]) * vX_[1228] + 5000. * -100. * vX_[1422] * vX_[1225];
+ vX_[1388] = vX_[1247] * vX_[378] + -1000. * (vX_[1152] * vX_[420] + vX_[1117] * vX_[416] + vX_[1246] * vX_[1447]) * vX_[1228];
+ vX_[1447] = vX_[1114] * vX_[378] + -1000. * (vX_[1178] * vX_[420] + vX_[1245] * vX_[416] + vX_[1150] * vX_[1447]) * vX_[1228];
+ vX_[416] = vX_[1103] * vX_[1422] + vX_[1243] * vX_[1388] + vX_[1248] * vX_[1447];
+ vX_[420] = vX_[1254] * vX_[1422] + vX_[1232] * vX_[1388] + vX_[1241] * vX_[1447];
+ vX_[378] = 0.33 * vX_[380] * vX_[250] * vX_[251] + -0.33 * vX_[380] * vX_[277] * vX_[253] + 0.35 * vX_[380] * vX_[250] + 0.08 * vX_[380];
+ vX_[1122] = vX_[1081] * vX_[416] - (vX_[1251] * vX_[420] + vX_[378] * vX_[951]);
+ vX_[433] = 0.33 * vX_[656] * vX_[277] * vX_[253] - 0.33 * vX_[656] * vX_[250] * vX_[251] - 0.35 * vX_[656] * vX_[250] - 0.08 * vX_[656];
+ vX_[1447] = vX_[740] * vX_[1422] + vX_[1102] * vX_[1388] + vX_[1253] * vX_[1447];
+ vX_[1388] = vX_[1257] * vX_[420] + vX_[433] * vX_[951] - vX_[1081] * vX_[1447];
+ vX_[1422] = vX_[251] * vX_[1369] + vX_[1276] * vX_[456] + vX_[1252] * vX_[1115];
+ vX_[571] = vX_[1084] * vX_[571] + vX_[1323] * vX_[863] - (vX_[953] * vX_[1422] + vX_[1115] * vX_[1516]);
+ vX_[1341] = 0.1104774 * (vX_[1377] - vX_[1192]) + 0.025941 * vX_[1213] - (vX_[328] * vX_[1122] + vX_[380] * vX_[242]) - (vX_[249] * vX_[1388] + vX_[656] * vX_[1233]) - (vX_[1105] * vX_[1447] + (0.3735 * vX_[656] - 0.35 * vX_[656] * vX_[277]) * vX_[1109]) - (vX_[1230] * vX_[416] + (0.35 * vX_[380] * vX_[277] - 0.3735 * vX_[380]) * vX_[588]) - (vX_[1235] * vX_[420] + (0 - 0.207 * vX_[380]) * vX_[951]) - 0.0004405 * vX_[571];
+ vX_[418] = 0 - vX_[1341];
+ vX_[415] = vX_[1084] * vX_[1115] + vX_[1323] * vX_[953];
+ vX_[413] = (- vX_[1407]) * x_in[29];
+ vX_[1417] = vX_[1422] * x_in[29];
+ vX_[1342] = vX_[1323] * x_in[29];
+ vX_[1383] = vX_[656] * vX_[250];
+ vX_[454] = vX_[656] * vX_[277];
+ vX_[873] = vX_[1383] * vX_[253] + vX_[454] * vX_[251];
+ vX_[955] = vX_[380] * vX_[277];
+ vX_[1151] = vX_[955] * vX_[251];
+ vX_[1502] = vX_[953] * vX_[1115] + vX_[1115] * vX_[953];
+ vX_[1101] = vX_[700] * vX_[463] + vX_[463] * vX_[700];
+ vX_[1194] = -0.881 * (vX_[1192] - vX_[1377]) + 0.1104774 * vX_[1213] + -8.81e-05 * vX_[415] + 0.414812462825713 * vX_[413] + 0.00185880198235362 * vX_[1417] + 8.81e-05 * vX_[1342] + (0.1104774 * vX_[418]) / 0.026181 - (vX_[1258] * vX_[1447] + vX_[873] * vX_[1109]) - (vX_[1263] * vX_[416] + ((- vX_[380]) * vX_[250] * vX_[253] - vX_[1151]) * vX_[588]) - vX_[1265] * vX_[420] - 0.0004405 * (vX_[1502] + vX_[1101]);
+ vX_[543] = vX_[700] * vX_[1115] + vX_[463] * vX_[953];
+ vX_[437] = (- vX_[463]) * x_in[29];
+ vX_[454] = vX_[454] * vX_[253] - vX_[1383] * vX_[251];
+ vX_[955] = vX_[380] * vX_[250] * vX_[251] - vX_[955] * vX_[253];
+ vX_[1383] = vX_[1084] * vX_[1323] + vX_[1323] * vX_[1084];
+ vX_[1502] = 0.881 * vX_[571] + -8.81e-05 * vX_[543] + 0.0004405 * vX_[1213] + 0.00185880198235362 * vX_[413] + 0.880992588508842 * vX_[1417] + -8.81e-05 * vX_[437] + (-0.0004405 * vX_[418]) / 0.026181 - (vX_[1267] * vX_[1447] + vX_[454] * vX_[1109]) - (vX_[1269] * vX_[416] + vX_[955] * vX_[588]) - vX_[1271] * vX_[420] - 0.1104774 * (vX_[1502] + vX_[1383]);
+ vX_[1213] = vX_[1328] * vX_[1220] + vX_[1373] * vX_[957] - (vX_[847] * vX_[1369] + vX_[1115] * vX_[846]);
+ vX_[468] = vX_[1328] * vX_[1115] + vX_[1373] * vX_[847];
+ vX_[1100] = vX_[1328] * vX_[1373] + vX_[1373] * vX_[1328];
+ vX_[414] = vX_[1190] * vX_[1427] + vX_[1427] * vX_[1190];
+ vX_[1341] = 0.47422804 * (vX_[1470] - vX_[1371]) + 0.081641 * vX_[1403] + 2.1e-05 * vX_[388] + (0.026181 * vX_[418]) / 0.026181 + vX_[1341] + vX_[1252] * vX_[1194] + vX_[256] * vX_[1502] - -0.0825825 * vX_[1213] - 0.000102 * vX_[468] - 0.007418 * (vX_[1100] - vX_[414]);
+ vX_[1367] = 0 - vX_[1341];
+ vX_[384] = (- vX_[1427]) * x_in[28];
+ vX_[432] = vX_[1373] * x_in[28];
+ vX_[1432] = (- vX_[456]) * x_in[28];
+ vX_[460] = vX_[1369] * x_in[28];
+ vX_[1413] = vX_[847] * vX_[1115] + vX_[1115] * vX_[847];
+ vX_[1371] = -3.146 * (vX_[1371] - vX_[1470]) + 0.47422804 * vX_[1403] + vX_[251] * vX_[1194] + vX_[253] * vX_[1502] + vX_[282] * vX_[384] + vX_[276] * vX_[432] + vX_[308] * vX_[1432] + vX_[310] * vX_[460] + (vX_[272] * vX_[1367]) / vX_[274] - -0.0825825 * (vX_[1413] + vX_[414]);
+ vX_[1213] = 3.146 * vX_[1213] + -0.0825825 * vX_[1403] + vX_[1276] * vX_[1194] + vX_[251] * vX_[1502] + vX_[288] * vX_[384] + vX_[287] * vX_[432] + vX_[310] * vX_[1432] + vX_[309] * vX_[460] + (vX_[285] * vX_[1367]) / vX_[274] - 0.47422804 * (vX_[1413] + vX_[1100]);
+ vX_[1502] = (- vX_[1457]) * x_in[27];
+ vX_[1194] = vX_[1115] * x_in[27];
+ vX_[1470] = (- vX_[1401]) * x_in[27];
+ vX_[382] = vX_[1220] * x_in[27];
+ vX_[1426] = vX_[1198] * vX_[1115] + vX_[1457] * vX_[1327];
+ vX_[1471] = vX_[1441] * vX_[1401];
+ vX_[389] = vX_[1457] * vX_[1349];
+ vX_[1469] = vX_[1457] * vX_[1441];
+ vX_[433] = vX_[1251] * vX_[1447] + vX_[378] * vX_[1109] - (vX_[1257] * vX_[416] + vX_[433] * vX_[588]);
+ vX_[1422] = vX_[700] * vX_[1422] + vX_[463] * vX_[1516] - (vX_[1084] * vX_[1407] + vX_[1323] * vX_[1434]);
+ vX_[1151] = -8.81e-05 * vX_[571] + -8.81e-05 * vX_[1417] + 0.026409 * vX_[437] - (vX_[1258] * vX_[1122] + vX_[873] * vX_[242]) - (vX_[1262] * vX_[1388] + ((- vX_[380]) * vX_[250] * vX_[253] - vX_[1151]) * vX_[1233]) - vX_[1264] * vX_[433] - (vX_[1285] * vX_[1447] + (((- 0.08 * vX_[380]) * vX_[277] - 0.3735 * vX_[380] * vX_[250]) * vX_[253] + (0.08 * vX_[380] * vX_[250] + -0.3735 * vX_[380] * vX_[277] + 0.35 * vX_[380]) * vX_[251]) * vX_[1109]) - (vX_[1292] * vX_[416] + ((-0.08 * vX_[656] * vX_[277] - 0.3735 * vX_[656] * vX_[250]) * vX_[253] + (0.08 * vX_[656] * vX_[250] + -0.3735 * vX_[656] * vX_[277] + 0.35 * vX_[656]) * vX_[251]) * vX_[588]) - (vX_[1297] * vX_[420] + (-0.207 * vX_[656] * vX_[250] * vX_[253] - 0.207 * vX_[656] * vX_[277] * vX_[251]) * vX_[951]) - 0.1104774 * vX_[1422] - 0.025713 * vX_[543];
+ vX_[433] = 0.0004405 * vX_[1422] + -8.81e-05 * (vX_[1192] - vX_[1377]) + -0.000227999999999999 * vX_[415] + 8.81e-05 * vX_[413] + 0.000468 * vX_[1342] - (vX_[1267] * vX_[1122] + vX_[454] * vX_[242]) - (vX_[1269] * vX_[1388] + vX_[955] * vX_[1233]) - vX_[1271] * vX_[433] - (vX_[1305] * vX_[1447] + ((0.08 * vX_[380] * vX_[250] + -0.3735 * vX_[380] * vX_[277] + 0.35 * vX_[380]) * vX_[253] + (0.08 * vX_[380] * vX_[277] + 0.3735 * vX_[380] * vX_[250]) * vX_[251]) * vX_[1109]) - (vX_[1312] * vX_[416] + ((0.08 * vX_[656] * vX_[250] + -0.3735 * vX_[656] * vX_[277] + 0.35 * vX_[656]) * vX_[253] + (0.08 * vX_[656] * vX_[277] + 0.3735 * vX_[656] * vX_[250]) * vX_[251]) * vX_[588]) - (vX_[1317] * vX_[420] + (0.207 * vX_[656] * vX_[250] * vX_[251] - 0.207 * vX_[656] * vX_[277] * vX_[253]) * vX_[951]);
+ vX_[1422] = 0.881 * vX_[1422] + 0.1104774 * vX_[543] + 0.0004405 * vX_[415] + -0.1104774 * vX_[437] + 0.0004405 * vX_[1342] - (vX_[328] * vX_[1447] + vX_[380] * vX_[1109]) - (vX_[249] * vX_[416] + vX_[656] * vX_[588]) - -8.81e-05 * (vX_[1383] + vX_[1101]);
+ vX_[1369] = vX_[1190] * vX_[1369] + vX_[1427] * vX_[846] - (vX_[1328] * vX_[456] + vX_[1373] * vX_[842]);
+ vX_[414] = 0.007418 * vX_[468] + 0.000102 * (vX_[1413] - vX_[414]) + vX_[251] * vX_[1151] + vX_[253] * vX_[433] + -0.35 * vX_[1422] + vX_[304] * vX_[384] + vX_[296] * vX_[432] + vX_[282] * vX_[1432] + vX_[288] * vX_[460] + (vX_[281] * vX_[1367]) / vX_[274] - 0.47422804 * vX_[1369] - 0.084376 * vX_[388] - 2.1e-05 * vX_[1403];
+ vX_[433] = 0.002735 * vX_[468] + -0.0825825 * vX_[1369] + 0.000102 * vX_[1403] + vX_[254] * vX_[1151] + vX_[251] * vX_[433] + vX_[296] * vX_[384] + vX_[303] * vX_[432] + vX_[276] * vX_[1432] + vX_[287] * vX_[460] + (vX_[262] * vX_[1367]) / vX_[274] - 0.007418 * vX_[388] - 2.1e-05 * (vX_[1413] - vX_[1100]);
+ vX_[1369] = 0.47422804 * vX_[388] + 3.146 * vX_[1369] + -0.0825825 * vX_[468] + vX_[1422] + vX_[271] * vX_[384] + vX_[284] * vX_[432];
+ vX_[1422] = vX_[1327] * vX_[1115] + vX_[1115] * vX_[1327];
+ vX_[468] = 0.009466 * vX_[1426] + 0.1466472 * (vX_[1471] - vX_[389]) + -5.1e-05 * vX_[1469] + vX_[297] * vX_[414] + vX_[278] * vX_[433] + 0.08 * vX_[1369] - 0.022734 * vX_[1485] - 3.6e-05 * (vX_[1422] - vX_[867]);
+ vX_[388] = 0 - vX_[468];
+ vX_[1401] = vX_[1198] * vX_[1220] + vX_[1457] * vX_[595] - (vX_[1327] * vX_[1401] + vX_[1115] * vX_[1089]);
+ vX_[1341] = -0.5824264 * vX_[441] + 3.6e-05 * vX_[1485] + 0.022734 * (0 - vX_[867]) + (vX_[274] * vX_[1367]) / vX_[274] + vX_[1341] + vX_[1274] * vX_[1371] + vX_[299] * vX_[1213] + vX_[521] * vX_[1502] + vX_[566] * vX_[1194] + vX_[361] * vX_[1470] + vX_[350] * vX_[382] + (vX_[360] * vX_[388]) / vX_[324] - 0.1466472 * vX_[1401] - -0.123672 * vX_[1469] - -5.1e-05 * vX_[1426];
+ vX_[433] = -0.133138 * vX_[1485] + -0.5824264 * (vX_[389] - vX_[1471]) + 0.022734 * vX_[1426] + vX_[278] * vX_[414] + vX_[250] * vX_[433] + vX_[566] * vX_[1502] + vX_[323] * vX_[1194] + vX_[351] * vX_[1470] + vX_[326] * vX_[382] + (vX_[319] * vX_[388]) / vX_[324] - 3.6e-05 * vX_[1469] - -5.1e-05 * (0 - vX_[1422]);
+ vX_[1401] = 3.44 * vX_[1401] + 0.1466472 * vX_[1469] + vX_[1229] * vX_[1371] + vX_[698] * vX_[1213] + vX_[336] * vX_[1502] + vX_[313] * vX_[1194] + vX_[354] * vX_[1470] + vX_[347] * vX_[382] + (vX_[345] * vX_[388]) / vX_[324] - -0.5824264 * (vX_[1422] + vX_[867]);
+ vX_[1369] = 0.1466472 * vX_[1426] + -3.44 * (vX_[389] - vX_[1471]) + -0.5824264 * vX_[1485] + vX_[1369] + vX_[361] * vX_[1502] + vX_[351] * vX_[1194] + vX_[353] * vX_[1470] + vX_[339] * vX_[382] + (vX_[337] * vX_[388]) / vX_[324];
+ vX_[1422] = 3.44 * vX_[441] + -0.5824264 * vX_[1469] + vX_[1319] * vX_[1371] + vX_[250] * vX_[1213] + vX_[350] * vX_[1502] + vX_[326] * vX_[1194] + vX_[339] * vX_[1470] + vX_[365] * vX_[382] + (vX_[322] * vX_[388]) / vX_[324] - 0.1466472 * vX_[1422];
+ vX_[1469] = 0.207 * vX_[380];
+ vX_[1213] = vX_[328] * vX_[435] + vX_[380] * vX_[329] + vX_[330] * vX_[412] + vX_[1343] * vX_[331];
+ vX_[1371] = vX_[1469] * vX_[364] - vX_[1213] * vX_[347];
+ vX_[441] = vX_[1469] * vX_[347] - vX_[1213] * vX_[365];
+ vX_[389] = vX_[480] * vX_[365] - vX_[1469] * vX_[339];
+ vX_[1471] = vX_[480] * vX_[339] - vX_[1469] * vX_[353];
+ vX_[525] = vX_[524] * vX_[480] + vX_[389] * vX_[327] - (vX_[525] * vX_[1469] + vX_[1471] * vX_[352]);
+ vX_[523] = vX_[519] * vX_[1469] + vX_[522] * vX_[1469] + vX_[1371] * vX_[352] - vX_[523] * vX_[1213] - (vX_[366] * vX_[1213] + vX_[441] * vX_[332]) - vX_[525];
+ vX_[522] = vX_[1213] * vX_[353] - vX_[480] * vX_[354];
+ vX_[364] = vX_[1213] * vX_[354] - vX_[480] * vX_[364];
+ vX_[530] = vX_[528] * vX_[1213] + vX_[355] * vX_[1213] + vX_[522] * vX_[332] - vX_[530] * vX_[480] - (vX_[531] * vX_[480] + vX_[364] * vX_[327]) - vX_[525];
+ vX_[528] = vX_[1213] * vX_[339];
+ vX_[519] = vX_[480] * vX_[347];
+ vX_[524] = vX_[528] - vX_[519];
+ vX_[1213] = vX_[361] * vX_[1213] + vX_[313] * vX_[1469] + vX_[531] * vX_[1469] + vX_[364] * vX_[352] - vX_[326] * vX_[1213] - vX_[336] * vX_[480] - (vX_[349] * vX_[1213] + vX_[524] * vX_[332]);
+ vX_[531] = vX_[328] * vX_[1213] + vX_[380] * vX_[567];
+ vX_[570] = vX_[568] * vX_[380] + (vX_[328] * vX_[530] + vX_[380] * vX_[532] + vX_[249] * vX_[1213] + vX_[656] * vX_[567]) * vX_[328] + vX_[570] * vX_[656] + (vX_[531] + vX_[249] * vX_[523] + vX_[656] * vX_[527]) * vX_[249];
+ vX_[531] = vX_[330] * vX_[530] + vX_[1343] * vX_[532] + vX_[531];
+ vX_[1213] = vX_[330] * vX_[1213] + vX_[1343] * vX_[567] + vX_[328] * vX_[523] + vX_[380] * vX_[527];
+ vX_[567] = vX_[569] * vX_[1343] + vX_[531] * vX_[330] + vX_[572] * vX_[380] + vX_[1213] * vX_[328];
+ vX_[530] = vX_[523] + vX_[530] + vX_[525] - vX_[570] - vX_[567];
+ vX_[468] = ((vX_[324] * vX_[388]) / vX_[324] + vX_[468] + vX_[368] * vX_[1369] + vX_[411] * vX_[1642] + vX_[327] * vX_[1422] + vX_[480] * vX_[699] - vX_[1518] * vX_[530]) / vX_[583];
+ vX_[523] = vX_[1469] * vX_[354];
+ vX_[528] = vX_[523] - vX_[528];
+ vX_[366] = vX_[361] * vX_[1469] + vX_[340] * vX_[1469] + vX_[528] * vX_[352] - vX_[350] * vX_[480] - (vX_[366] * vX_[480] + vX_[441] * vX_[327]);
+ vX_[1469] = vX_[326] * vX_[480] + vX_[349] * vX_[480] + vX_[524] * vX_[327] - vX_[351] * vX_[1469] - (vX_[355] * vX_[1469] + vX_[522] * vX_[352]);
+ vX_[355] = vX_[330] * vX_[366] + vX_[1343] * vX_[367] + vX_[328] * vX_[1469] + vX_[380] * vX_[356];
+ vX_[349] = (vX_[355] - vX_[1567] * vX_[530]) / vX_[583];
+ vX_[570] = vX_[525] + vX_[570] - (vX_[1566] * vX_[349] + vX_[355] * vX_[1567]);
+ vX_[340] = (vX_[249] * vX_[1341] + vX_[656] * vX_[1688] + vX_[328] * vX_[433] + vX_[380] * vX_[1676] + vX_[329] * vX_[1369] + vX_[435] * vX_[1642] + vX_[1571] * vX_[1422] + vX_[1335] * vX_[699] - (vX_[1566] * vX_[468] + vX_[355] * vX_[1518]) - vX_[1677] * vX_[570]) / vX_[580];
+ vX_[1213] = vX_[569] * vX_[380] + vX_[531] * vX_[328] + vX_[572] * vX_[656] + vX_[1213] * vX_[249];
+ vX_[1469] = 0 - (vX_[249] * vX_[1469] + vX_[656] * vX_[356]) - (vX_[328] * vX_[366] + vX_[380] * vX_[367]);
+ vX_[366] = vX_[1213] - (vX_[490] * vX_[349] + vX_[1469] * vX_[1567]);
+ vX_[367] = (vX_[1469] - vX_[584] * vX_[530]) / vX_[583];
+ vX_[1213] = (vX_[1213] - (vX_[1566] * vX_[367] + vX_[355] * vX_[584]) - vX_[1565] * vX_[570]) / vX_[580];
+ vX_[567] = vX_[525] + vX_[567] - (vX_[1568] * vX_[1213] + vX_[366] * vX_[1565]) - (vX_[490] * vX_[367] + vX_[1469] * vX_[584]);
+ vX_[433] = (vX_[328] * vX_[1341] + vX_[380] * vX_[1688] + vX_[330] * vX_[433] + vX_[1343] * vX_[1676] + 0.207 * vX_[1401] + vX_[331] * vX_[1369] + vX_[412] * vX_[1642] + vX_[1318] * vX_[1422] + vX_[1402] * vX_[699] - (vX_[1568] * vX_[340] + vX_[366] * vX_[1677]) - (vX_[490] * vX_[468] + vX_[1469] * vX_[1518]) - vX_[1201] * vX_[567]) / vX_[582];
+ vX_[523] = vX_[519] - vX_[523];
+ vX_[528] = vX_[528] - vX_[523];
+ vX_[519] = vX_[328] * vX_[522] + vX_[380] * vX_[1564] + vX_[249] * vX_[528] + vX_[656] * vX_[1563];
+ vX_[524] = vX_[524] - vX_[523];
+ vX_[1341] = vX_[328] * vX_[524] + vX_[380] * vX_[348] + vX_[249] * vX_[441] + vX_[656] * vX_[512];
+ vX_[1676] = vX_[1582] * vX_[656] + vX_[519] * vX_[249] + vX_[1583] * vX_[380] + vX_[1341] * vX_[328] + vX_[523];
+ vX_[1471] = vX_[1471] + vX_[1371];
+ vX_[389] = vX_[389] + vX_[364];
+ vX_[1371] = - vX_[1371];
+ vX_[1688] = vX_[330] * vX_[1371] + vX_[1343] * vX_[1600] + vX_[328] * vX_[364] + vX_[380] * vX_[1602];
+ vX_[525] = vX_[1601] * vX_[656] + vX_[1471] * vX_[249] + vX_[1603] * vX_[380] + vX_[389] * vX_[328] - vX_[1688];
+ vX_[356] = vX_[1676] - (vX_[1611] * vX_[349] + vX_[525] * vX_[1567]);
+ vX_[524] = vX_[330] * vX_[524] + vX_[1343] * vX_[348] + vX_[328] * vX_[441] + vX_[380] * vX_[512];
+ vX_[528] = vX_[330] * vX_[522] + vX_[1343] * vX_[1564] + vX_[328] * vX_[528] + vX_[380] * vX_[1563];
+ vX_[522] = vX_[498] * vX_[380] + vX_[524] * vX_[328] + vX_[1519] * vX_[656] + vX_[528] * vX_[249];
+ vX_[1563] = vX_[522] - (vX_[1587] * vX_[1213] + vX_[356] * vX_[1565]) - (vX_[1611] * vX_[367] + vX_[525] * vX_[584]);
+ vX_[1564] = vX_[1688] - (vX_[1630] * vX_[349] + vX_[523] * vX_[1567]);
+ vX_[1371] = vX_[328] * vX_[1371] + vX_[380] * vX_[1600] + vX_[249] * vX_[364] + vX_[656] * vX_[1602];
+ vX_[364] = - vX_[1371];
+ vX_[1600] = vX_[364] - (vX_[1610] * vX_[1213] + vX_[1564] * vX_[1565]) - (vX_[1630] * vX_[367] + vX_[523] * vX_[584]);
+ vX_[1602] = vX_[380] * vX_[339];
+ vX_[1647] = vX_[1645] * vX_[380] + (vX_[380] * vX_[1592] + vX_[656] * vX_[339]) * vX_[328] + vX_[1647] * vX_[656] + (vX_[1602] + vX_[656] * vX_[1598]) * vX_[249];
+ vX_[1602] = vX_[1343] * vX_[1592] + vX_[1602];
+ vX_[1598] = vX_[1343] * vX_[339] + vX_[380] * vX_[1598];
+ vX_[1592] = vX_[1646] * vX_[1343] + vX_[1602] * vX_[330] + vX_[1649] * vX_[380] + vX_[1598] * vX_[328];
+ vX_[1645] = (vX_[523] - vX_[1593] * vX_[530]) / vX_[583];
+ vX_[1688] = (vX_[1688] - (vX_[1566] * vX_[1645] + vX_[355] * vX_[1593]) - vX_[1619] * vX_[570]) / vX_[580];
+ vX_[364] = (vX_[364] - (vX_[1568] * vX_[1688] + vX_[366] * vX_[1619]) - (vX_[490] * vX_[1645] + vX_[1469] * vX_[1593]) - vX_[1628] * vX_[567]) / vX_[582];
+ vX_[441] = 0 - vX_[1647] - vX_[1592] - (vX_[1610] * vX_[1688] + vX_[1564] * vX_[1619]) - (vX_[1630] * vX_[1645] + vX_[523] * vX_[1593]) - (vX_[1627] * vX_[364] + vX_[1600] * vX_[1628]);
+ vX_[1401] = (vX_[1401] - (vX_[1610] * vX_[340] + vX_[1564] * vX_[1677]) - (vX_[1630] * vX_[468] + vX_[523] * vX_[1518]) - (vX_[1627] * vX_[433] + vX_[1600] * vX_[1201]) - vX_[1110] * vX_[441]) / vX_[1657];
+ vX_[512] = vX_[1343] * vX_[1581] + vX_[380] * vX_[347];
+ vX_[348] = vX_[512] - (vX_[1587] * vX_[1688] + vX_[356] * vX_[1619]) - (vX_[1611] * vX_[1645] + vX_[525] * vX_[1593]) - (vX_[1575] * vX_[364] + vX_[1563] * vX_[1628]);
+ vX_[531] = (vX_[525] - vX_[1612] * vX_[530]) / vX_[583];
+ vX_[1676] = (vX_[1676] - (vX_[1566] * vX_[531] + vX_[355] * vX_[1612]) - vX_[1613] * vX_[570]) / vX_[580];
+ vX_[522] = (vX_[522] - (vX_[1568] * vX_[1676] + vX_[366] * vX_[1613]) - (vX_[490] * vX_[531] + vX_[1469] * vX_[1612]) - vX_[1614] * vX_[567]) / vX_[582];
+ vX_[512] = (vX_[512] - (vX_[1610] * vX_[1676] + vX_[1564] * vX_[1613]) - (vX_[1630] * vX_[531] + vX_[523] * vX_[1612]) - (vX_[1627] * vX_[522] + vX_[1600] * vX_[1614]) - vX_[1599] * vX_[441]) / vX_[1657];
+ vX_[1647] = vX_[1647] - (vX_[1587] * vX_[1676] + vX_[356] * vX_[1613]) - (vX_[1611] * vX_[531] + vX_[525] * vX_[1612]) - (vX_[1575] * vX_[522] + vX_[1563] * vX_[1614]) - (vX_[1629] * vX_[512] + vX_[348] * vX_[1599]);
+ vX_[572] = (vX_[249] * vX_[1369] + vX_[656] * vX_[1642] + vX_[328] * vX_[1422] + vX_[380] * vX_[699] - (vX_[1587] * vX_[340] + vX_[356] * vX_[1677]) - (vX_[1611] * vX_[468] + vX_[525] * vX_[1518]) - (vX_[1575] * vX_[433] + vX_[1563] * vX_[1201]) - (vX_[1629] * vX_[1401] + vX_[348] * vX_[1110]) - vX_[1691] * vX_[1647]) / vX_[1654];
+ vX_[1341] = vX_[1583] * vX_[1343] + vX_[1341] * vX_[330] + vX_[1582] * vX_[380] + vX_[519] * vX_[328];
+ vX_[1371] = vX_[1601] * vX_[380] + vX_[1471] * vX_[328] + vX_[1603] * vX_[1343] + vX_[389] * vX_[330] + vX_[1371];
+ vX_[389] = vX_[1341] - (vX_[1626] * vX_[349] + vX_[1371] * vX_[1567]);
+ vX_[528] = vX_[1519] * vX_[380] + vX_[528] * vX_[328] + vX_[498] * vX_[1343] + vX_[524] * vX_[330] + vX_[523];
+ vX_[524] = vX_[528] - (vX_[748] * vX_[1213] + vX_[389] * vX_[1565]) - (vX_[1626] * vX_[367] + vX_[1371] * vX_[584]);
+ vX_[1581] = 0 - vX_[656] * vX_[347] - vX_[380] * vX_[1581];
+ vX_[1519] = vX_[1581] - (vX_[748] * vX_[1688] + vX_[389] * vX_[1619]) - (vX_[1626] * vX_[1645] + vX_[1371] * vX_[1593]) - (vX_[484] * vX_[364] + vX_[524] * vX_[1628]);
+ vX_[1598] = vX_[1646] * vX_[380] + vX_[1602] * vX_[328] + vX_[1649] * vX_[656] + vX_[1598] * vX_[249];
+ vX_[1602] = vX_[1598] - (vX_[748] * vX_[1676] + vX_[389] * vX_[1613]) - (vX_[1626] * vX_[531] + vX_[1371] * vX_[1612]) - (vX_[484] * vX_[522] + vX_[524] * vX_[1614]) - (vX_[1664] * vX_[512] + vX_[1519] * vX_[1599]);
+ vX_[530] = (vX_[1371] - vX_[1658] * vX_[530]) / vX_[583];
+ vX_[1341] = (vX_[1341] - (vX_[1566] * vX_[530] + vX_[355] * vX_[1658]) - vX_[1659] * vX_[570]) / vX_[580];
+ vX_[528] = (vX_[528] - (vX_[1568] * vX_[1341] + vX_[366] * vX_[1659]) - (vX_[490] * vX_[530] + vX_[1469] * vX_[1658]) - vX_[1660] * vX_[567]) / vX_[582];
+ vX_[1581] = (vX_[1581] - (vX_[1610] * vX_[1341] + vX_[1564] * vX_[1659]) - (vX_[1630] * vX_[530] + vX_[523] * vX_[1658]) - (vX_[1627] * vX_[528] + vX_[1600] * vX_[1660]) - vX_[1665] * vX_[441]) / vX_[1657];
+ vX_[1598] = (vX_[1598] - (vX_[1587] * vX_[1341] + vX_[356] * vX_[1659]) - (vX_[1611] * vX_[530] + vX_[525] * vX_[1658]) - (vX_[1575] * vX_[528] + vX_[1563] * vX_[1660]) - (vX_[1629] * vX_[1581] + vX_[348] * vX_[1665]) - vX_[1666] * vX_[1647]) / vX_[1654];
+ vX_[1602] = (vX_[328] * vX_[1369] + vX_[380] * vX_[1642] + vX_[1669] * vX_[1422] + vX_[744] * vX_[699] - (vX_[748] * vX_[340] + vX_[389] * vX_[1677]) - (vX_[1626] * vX_[468] + vX_[1371] * vX_[1518]) - (vX_[484] * vX_[433] + vX_[524] * vX_[1201]) - (vX_[1664] * vX_[1401] + vX_[1519] * vX_[1110]) - (vX_[1584] * vX_[572] + vX_[1602] * vX_[1691]) - vX_[471] * (vX_[1592] - (vX_[748] * vX_[1341] + vX_[389] * vX_[1659]) - (vX_[1626] * vX_[530] + vX_[1371] * vX_[1658]) - (vX_[484] * vX_[528] + vX_[524] * vX_[1660]) - (vX_[1664] * vX_[1581] + vX_[1519] * vX_[1665]) - (vX_[1584] * vX_[1598] + vX_[1602] * vX_[1666]))) / vX_[1656];
+ jac[347] = - vX_[1602];
+ vX_[1598] = vX_[572] - (vX_[1666] * vX_[1602] + vX_[1598] * vX_[471]);
+ jac[346] = - vX_[1598];
+ vX_[1581] = vX_[1401] - (vX_[1665] * vX_[1602] + vX_[1581] * vX_[471]) - (vX_[1599] * vX_[1598] + vX_[512] * vX_[1353]);
+ jac[345] = - vX_[1581];
+ vX_[528] = vX_[433] - (vX_[1614] * vX_[1598] + vX_[522] * vX_[1353]) - (vX_[1628] * vX_[1581] + vX_[364] * vX_[546]) - (vX_[1660] * vX_[1602] + vX_[528] * vX_[471]);
+ jac[344] = - vX_[528];
+ vX_[1341] = vX_[340] - (vX_[1619] * vX_[1581] + vX_[1688] * vX_[546]) - (vX_[1565] * vX_[528] + vX_[1213] * vX_[536]) - (vX_[1613] * vX_[1598] + vX_[1676] * vX_[1353]) - (vX_[1659] * vX_[1602] + vX_[1341] * vX_[471]);
+ jac[342] = vX_[584] * vX_[528] + vX_[367] * vX_[536] + vX_[1567] * vX_[1341] + vX_[349] * vX_[1338] + vX_[1593] * vX_[1581] + vX_[1645] * vX_[546] + vX_[1612] * vX_[1598] + vX_[531] * vX_[1353] + vX_[1658] * vX_[1602] + vX_[530] * vX_[471] - vX_[468];
+ jac[343] = - vX_[1341];
+ vX_[1341] = -1 * jac[342];
+ vX_[528] = vX_[450] * jac[344] + vX_[370] * jac[343];
+ vX_[1581] = vX_[370] * jac[344] + vX_[451] * jac[343];
+ vX_[1598] = -1 * jac[345];
+ vX_[1602] = 0.207 * jac[344] + vX_[1598];
+ vX_[530] = vX_[1481] * jac[344] + vX_[1572] * jac[343] + vX_[448] * jac[342] + vX_[1670] * jac[347] + vX_[1618] * jac[346];
+ jac[348] = (0 - vX_[445] * vX_[1341] - vX_[482] * vX_[528] - vX_[440] * vX_[1581] - vX_[467] * vX_[1602] - vX_[459] * (vX_[453] * jac[344] + vX_[452] * jac[343] + vX_[1573] * jac[342] + vX_[450] * jac[347] + vX_[1617] * jac[346]) - vX_[443] * vX_[530]) / vX_[445];
+ vX_[531] = -1 * vX_[528];
+ vX_[1645] = vX_[1341] + jac[348];
+ vX_[367] = vX_[371] * vX_[1602] + vX_[1562] * vX_[530] + vX_[1275] * vX_[528];
+ vX_[530] = vX_[398] * vX_[1602] + vX_[371] * vX_[530] + vX_[419] * vX_[528];
+ jac[349] = (0 - vX_[395] * vX_[531] - vX_[402] * (vX_[371] * vX_[1645] + vX_[399] * vX_[1581]) - vX_[383] * (vX_[398] * vX_[1645] + vX_[371] * vX_[1581]) - vX_[393] * vX_[367] - vX_[406] * vX_[530]) / vX_[395];
+ vX_[531] = vX_[531] + jac[349];
+ jac[350] = (0 - 0.1104774 * (vX_[372] * vX_[367] + vX_[1520] * vX_[530] + vX_[1517] * vX_[531]) - -0.0004405 * (vX_[374] * vX_[367] + vX_[372] * vX_[530] + vX_[377] * vX_[531]) - 0.026181 * vX_[531]) / 0.026181;
+ vX_[1502] = vX_[328] * jac[344] + vX_[380] * vX_[542] + vX_[249] * jac[343] + vX_[656] * vX_[1605] + vX_[1502];
+ vX_[1194] = vX_[330] * jac[344] + vX_[1343] * vX_[542] + vX_[328] * jac[343] + vX_[380] * vX_[1605] + vX_[1194];
+ vX_[1343] = 0.207 * jac[344] + jac[345];
+ vX_[382] = vX_[1318] * jac[344] + vX_[1402] * vX_[542] + vX_[1571] * jac[343] + vX_[1335] * vX_[1605] + vX_[327] * jac[342] + vX_[480] * vX_[624] + vX_[1669] * jac[347] + vX_[744] * vX_[1632] + vX_[328] * jac[346] + vX_[380] * vX_[544] + vX_[382];
+ jac[351] = (vX_[388] - vX_[324] * jac[342] - vX_[360] * vX_[1502] - vX_[319] * vX_[1194] - vX_[345] * vX_[1343] - vX_[337] * (vX_[331] * jac[344] + vX_[412] * vX_[542] + vX_[329] * jac[343] + vX_[435] * vX_[1605] + vX_[368] * jac[342] + vX_[411] * vX_[624] + vX_[328] * jac[347] + vX_[380] * vX_[1632] + vX_[249] * jac[346] + vX_[656] * vX_[544] + vX_[1470]) - vX_[322] * vX_[382]) / vX_[324];
+ vX_[388] = jac[342] + jac[351];
+ vX_[1432] = vX_[1229] * vX_[1343] + vX_[1319] * vX_[382] + vX_[1274] * vX_[1502] + vX_[1432];
+ vX_[382] = vX_[698] * vX_[1343] + vX_[250] * vX_[382] + vX_[299] * vX_[1502] + vX_[460];
+ jac[352] = (vX_[1367] - vX_[274] * vX_[1502] - vX_[281] * (vX_[297] * vX_[388] + vX_[278] * vX_[1194] + vX_[384]) - vX_[262] * (vX_[278] * vX_[388] + vX_[250] * vX_[1194] + vX_[432]) - vX_[272] * vX_[1432] - vX_[285] * vX_[382]) / vX_[274];
+ vX_[1502] = vX_[1502] + jac[352];
+ jac[353] = (vX_[418] - 0.1104774 * (vX_[251] * vX_[1432] + vX_[1276] * vX_[382] + vX_[1252] * vX_[1502] + vX_[413]) - -0.0004405 * (vX_[253] * vX_[1432] + vX_[251] * vX_[382] + vX_[256] * vX_[1502] + vX_[1417]) - 0.026181 * vX_[1502]) / 0.026181;
+ vX_[1502] = vX_[208] * jac[344] + vX_[138] * jac[343];
+ vX_[382] = vX_[138] * jac[344] + vX_[209] * jac[343];
+ vX_[1598] = 0.207 * jac[344] + vX_[1598];
+ vX_[1432] = vX_[998] * jac[344] + vX_[1570] * jac[343] + vX_[206] * jac[342] + vX_[1668] * jac[347] + vX_[1616] * jac[346];
+ jac[354] = (0 - vX_[203] * vX_[1341] - vX_[240] * vX_[1502] - vX_[198] * vX_[382] - vX_[225] * vX_[1598] - vX_[217] * (vX_[211] * jac[344] + vX_[210] * jac[343] + vX_[248] * jac[342] + vX_[208] * jac[347] + vX_[1615] * jac[346]) - vX_[201] * vX_[1432]) / vX_[203];
+ vX_[1417] = -1 * vX_[1502];
+ vX_[1341] = vX_[1341] + jac[354];
+ vX_[413] = vX_[139] * vX_[1598] + vX_[1079] * vX_[1432] + vX_[790] * vX_[1502];
+ vX_[1432] = vX_[159] * vX_[1598] + vX_[139] * vX_[1432] + vX_[177] * vX_[1502];
+ jac[355] = (0 - vX_[156] * vX_[1417] - 2.1e-05 * (vX_[139] * vX_[1341] + vX_[160] * vX_[382]) - -0.000102 * (vX_[159] * vX_[1341] + vX_[139] * vX_[382]) - vX_[154] * vX_[413] - vX_[164] * vX_[1432]) / vX_[156];
+ vX_[1417] = vX_[1417] + jac[355];
+ jac[356] = (0 - 0.110125 * (vX_[142] * vX_[413] + vX_[1037] * vX_[1432] + vX_[1034] * vX_[1417]) - 0.000881 * (vX_[140] * vX_[413] + vX_[142] * vX_[1432] + vX_[141] * vX_[1417]) - 0.026181 * vX_[1417]) / 0.026181;
+ vX_[1417] = vX_[96] * jac[344] + vX_[26] * jac[343];
+ vX_[1432] = vX_[98] * jac[344] + vX_[96] * jac[343];
+ vX_[413] = 0.207 * jac[344] + jac[345];
+ vX_[1341] = vX_[834] * jac[344] + vX_[1569] * jac[343] + vX_[95] * jac[342] + vX_[1667] * jac[347] + vX_[96] * jac[346];
+ jac[357] = (0 - vX_[92] * jac[342] - vX_[128] * vX_[1417] - vX_[87] * vX_[1432] - vX_[113] * vX_[413] - vX_[105] * (vX_[99] * jac[344] + vX_[97] * jac[343] + vX_[136] * jac[342] + vX_[96] * jac[347] + vX_[26] * jac[346]) - vX_[90] * vX_[1341]) / vX_[92];
+ vX_[382] = jac[342] + jac[357];
+ vX_[1598] = vX_[746] * vX_[413] + vX_[835] * vX_[1341] + vX_[789] * vX_[1417];
+ vX_[1341] = vX_[613] * vX_[413] + vX_[13] * vX_[1341] + vX_[67] * vX_[1417];
+ jac[358] = (0 - vX_[42] * vX_[1417] - vX_[49] * (vX_[65] * vX_[382] + vX_[46] * vX_[1432]) - vX_[30] * (vX_[46] * vX_[382] + vX_[13] * vX_[1432]) - vX_[40] * vX_[1598] - vX_[53] * vX_[1341]) / vX_[42];
+ vX_[1417] = vX_[1417] + jac[358];
+ jac[359] = (0 - 0.1104774 * (vX_[15] * vX_[1598] + vX_[791] * vX_[1341] + vX_[766] * vX_[1417]) - 0.0004405 * (vX_[23] * vX_[1598] + vX_[15] * vX_[1341] + vX_[25] * vX_[1417]) - 0.026181 * vX_[1417]) / 0.026181;
+ vX_[1417] = cos(x_in[10]);
+ vX_[1341] = - vX_[1417];
+ vX_[1598] = -1 * sin(x_in[10]);
+ vX_[382] = 0.08 * vX_[1417];
+ vX_[1432] = vX_[1341] * vX_[1349] + vX_[1598] * vX_[1089] + vX_[382] * vX_[1327];
+ vX_[413] = vX_[847] * vX_[1432];
+ vX_[1502] = - vX_[1417];
+ vX_[418] = vX_[1598] * vX_[1198] + vX_[1502] * vX_[1441];
+ vX_[388] = vX_[418] * vX_[957];
+ vX_[1194] = - vX_[1598];
+ vX_[432] = vX_[1502] * vX_[1198] + vX_[1194] * vX_[1441];
+ vX_[384] = vX_[1190] * vX_[432] + vX_[418] * vX_[1328];
+ vX_[1367] = vX_[418] * vX_[847];
+ vX_[1343] = - vX_[1598];
+ vX_[460] = - vX_[1417];
+ vX_[1470] = 0.08 * vX_[1598];
+ vX_[411] = vX_[1343] * vX_[1349] + vX_[460] * vX_[1089] + vX_[1470] * vX_[1327];
+ vX_[435] = vX_[253] * vX_[411] + vX_[251] * vX_[1432];
+ vX_[412] = vX_[953] * vX_[435];
+ vX_[380] = -0.35 * vX_[432];
+ vX_[656] = vX_[251] * vX_[418] + vX_[253] * vX_[432];
+ vX_[744] = vX_[700] * vX_[380] + vX_[656] * vX_[863];
+ vX_[480] = vX_[254] * vX_[418] + vX_[251] * vX_[432];
+ vX_[1335] = vX_[700] * vX_[480] + vX_[656] * vX_[1084];
+ vX_[1402] = cos(x_in[10]);
+ vX_[1219] = vX_[1203] * (vX_[1204] * vX_[1402] * vX_[253] - vX_[1206] * vX_[1598] * vX_[251] - vX_[1208] * vX_[1598]) + vX_[1214] * (vX_[1215] * vX_[1598] * vX_[251] + vX_[1217] * vX_[1402] * vX_[253] + vX_[1219] * vX_[1598]) + vX_[1221] * (-0.33 * vX_[1598] * vX_[253] - 0.33 * vX_[1402] * vX_[251] - 0.35 * vX_[1402]);
+ vX_[1217] = ((- vX_[1228]) * 100. * vX_[1219] * vX_[1226]) / vX_[1227];
+ vX_[1140] = vX_[1136] * vX_[1598] * vX_[251] + vX_[1138] * vX_[1402] * vX_[253] + vX_[1140] * vX_[1598];
+ vX_[1138] = -0.33 * vX_[1598] * vX_[253] - 0.33 * vX_[1402] * vX_[251] - 0.35 * vX_[1402];
+ vX_[1134] = (vX_[1119] * vX_[1598] * vX_[253] + vX_[1121] * vX_[1402] * vX_[251]) * x_in[29] + (vX_[1119] * vX_[1402] * vX_[251] + vX_[1126] * vX_[1598] * vX_[253] + vX_[1128] * vX_[1402]) * x_in[28] + (vX_[1130] * vX_[1598] * vX_[251] + vX_[1132] * vX_[1402] * vX_[253] + vX_[1134] * vX_[1598]) * x_in[27] + x_in[18] * vX_[1140] - x_in[19] * vX_[1138];
+ vX_[1174] = vX_[1170] * vX_[1402] * vX_[253] - vX_[1172] * vX_[1598] * vX_[251] - vX_[1174] * vX_[1598];
+ vX_[1138] = (vX_[1154] * vX_[1598] * vX_[253] - vX_[1156] * vX_[1402] * vX_[251]) * x_in[29] + (vX_[1132] * vX_[1598] * vX_[253] - vX_[1160] * vX_[1402] * vX_[251] - vX_[1162] * vX_[1402]) * x_in[28] + (vX_[1164] * vX_[1598] * vX_[251] + vX_[1166] * vX_[1402] * vX_[253] + vX_[1168] * vX_[1598]) * x_in[27] + x_in[20] * vX_[1138] - x_in[18] * vX_[1174];
+ vX_[1174] = (0.33 * vX_[1402] * vX_[253] - 0.33 * vX_[1598] * vX_[251]) * x_in[29] + (0.33 * vX_[1402] * vX_[253] - 0.33 * vX_[1598] * vX_[251] - 0.35 * vX_[1598]) * x_in[28] + x_in[19] * vX_[1174] - x_in[20] * vX_[1140];
+ vX_[1219] = vX_[1187] * vX_[1217] + -1000. * (vX_[1118] * vX_[1134] + vX_[1153] * vX_[1138] + vX_[1179] * vX_[1174]) * vX_[1228] + 5000. * -100. * vX_[1219] * vX_[1225];
+ vX_[1140] = vX_[1247] * vX_[1217] + -1000. * (vX_[1152] * vX_[1134] + vX_[1117] * vX_[1138] + vX_[1246] * vX_[1174]) * vX_[1228];
+ vX_[1174] = vX_[1114] * vX_[1217] + -1000. * (vX_[1178] * vX_[1134] + vX_[1245] * vX_[1138] + vX_[1150] * vX_[1174]) * vX_[1228];
+ vX_[1138] = vX_[1103] * vX_[1219] + vX_[1243] * vX_[1140] + vX_[1248] * vX_[1174];
+ vX_[1134] = -0.33 * vX_[1598] * vX_[253] - 0.33 * vX_[1417] * vX_[251] - 0.35 * vX_[1417];
+ vX_[1217] = vX_[1254] * vX_[1219] + vX_[1232] * vX_[1140] + vX_[1241] * vX_[1174];
+ vX_[1250] = vX_[1191] * vX_[1598] * vX_[251] + vX_[1177] * vX_[1417] * vX_[253] + vX_[1250] * vX_[1598];
+ vX_[1177] = vX_[1081] * vX_[1138] + vX_[1134] * vX_[588] - (vX_[1251] * vX_[1217] + vX_[1250] * vX_[951]);
+ vX_[1256] = vX_[1090] * vX_[1417] * vX_[253] - vX_[1085] * vX_[1598] * vX_[251] - vX_[1256] * vX_[1598];
+ vX_[1174] = vX_[740] * vX_[1219] + vX_[1102] * vX_[1140] + vX_[1253] * vX_[1174];
+ vX_[1134] = vX_[1257] * vX_[1217] + vX_[1256] * vX_[951] - (vX_[1081] * vX_[1174] + vX_[1134] * vX_[1109]);
+ vX_[1140] = vX_[251] * vX_[411] + vX_[1276] * vX_[1432];
+ vX_[380] = vX_[1084] * vX_[380] + vX_[480] * vX_[863] - vX_[953] * vX_[1140];
+ vX_[1236] = 0.1104774 * (vX_[412] - vX_[744]) + 0.025941 * vX_[1335] - vX_[328] * vX_[1177] - vX_[249] * vX_[1134] - (vX_[1105] * vX_[1174] + (0 - vX_[1237] * vX_[1417]) * vX_[1109]) - (vX_[1230] * vX_[1138] + vX_[1236] * vX_[1417] * vX_[588]) - (vX_[1235] * vX_[1217] + 0.35 * vX_[1598] * vX_[951]) - 0.0004405 * vX_[380];
+ vX_[1237] = 0 - vX_[1236];
+ vX_[1219] = vX_[480] * vX_[953];
+ vX_[1085] = (- vX_[435]) * x_in[29];
+ vX_[1090] = vX_[1140] * x_in[29];
+ vX_[1191] = vX_[480] * x_in[29];
+ vX_[1402] = vX_[249] * vX_[1598];
+ vX_[1168] = vX_[249] * vX_[1417];
+ vX_[1166] = vX_[1402] * vX_[253] + vX_[1168] * vX_[251];
+ vX_[1164] = vX_[328] * vX_[1417];
+ vX_[1162] = vX_[1164] * vX_[251];
+ vX_[1160] = vX_[1598] * vX_[251];
+ vX_[1156] = vX_[700] * vX_[656] + vX_[656] * vX_[700];
+ vX_[1259] = -0.881 * (vX_[744] - vX_[412]) + 0.1104774 * vX_[1335] + -8.81e-05 * vX_[1219] + 0.414812462825713 * vX_[1085] + 0.00185880198235362 * vX_[1090] + 8.81e-05 * vX_[1191] + (0.1104774 * vX_[1237]) / 0.026181 - (vX_[1258] * vX_[1174] + vX_[1166] * vX_[1109]) - (vX_[1263] * vX_[1138] + (vX_[1259] * vX_[1598] * vX_[253] - vX_[1162]) * vX_[588]) - (vX_[1265] * vX_[1217] + (vX_[1417] * vX_[253] - vX_[1160]) * vX_[951]) - 0.0004405 * vX_[1156];
+ vX_[1154] = vX_[656] * vX_[953];
+ vX_[1132] = (- vX_[656]) * x_in[29];
+ vX_[1168] = vX_[1168] * vX_[253] - vX_[1402] * vX_[251];
+ vX_[1164] = vX_[328] * vX_[1598] * vX_[251] - vX_[1164] * vX_[253];
+ vX_[1402] = (- vX_[1598]) * vX_[253] - vX_[1417] * vX_[251];
+ vX_[1172] = vX_[1084] * vX_[480] + vX_[480] * vX_[1084];
+ vX_[1335] = 0.881 * vX_[380] + -8.81e-05 * vX_[1154] + 0.0004405 * vX_[1335] + 0.00185880198235362 * vX_[1085] + 0.880992588508842 * vX_[1090] + -8.81e-05 * vX_[1132] + (-0.0004405 * vX_[1237]) / 0.026181 - (vX_[1267] * vX_[1174] + vX_[1168] * vX_[1109]) - (vX_[1269] * vX_[1138] + vX_[1164] * vX_[588]) - (vX_[1271] * vX_[1217] + vX_[1402] * vX_[951]) - 0.1104774 * vX_[1172];
+ vX_[1170] = vX_[432] * vX_[957] - vX_[847] * vX_[411];
+ vX_[1130] = vX_[432] * vX_[847];
+ vX_[1128] = vX_[1328] * vX_[432] + vX_[432] * vX_[1328];
+ vX_[1126] = vX_[1190] * vX_[418] + vX_[418] * vX_[1190];
+ vX_[1236] = 0.47422804 * (vX_[413] - vX_[388]) + 0.081641 * vX_[384] + 2.1e-05 * vX_[1367] + (0.026181 * vX_[1237]) / 0.026181 + vX_[1236] + vX_[1252] * vX_[1259] + vX_[256] * vX_[1335] - -0.0825825 * vX_[1170] - 0.000102 * vX_[1130] - 0.007418 * (vX_[1128] - vX_[1126]);
+ vX_[1121] = 0 - vX_[1236];
+ vX_[1119] = (- vX_[418]) * x_in[28];
+ vX_[1136] = vX_[432] * x_in[28];
+ vX_[1215] = (- vX_[1432]) * x_in[28];
+ vX_[1208] = vX_[411] * x_in[28];
+ vX_[388] = -3.146 * (vX_[388] - vX_[413]) + 0.47422804 * vX_[384] + vX_[251] * vX_[1259] + vX_[253] * vX_[1335] + vX_[282] * vX_[1119] + vX_[276] * vX_[1136] + vX_[308] * vX_[1215] + vX_[310] * vX_[1208] + (vX_[272] * vX_[1121]) / vX_[274] - -0.0825825 * vX_[1126];
+ vX_[1170] = 3.146 * vX_[1170] + -0.0825825 * vX_[384] + vX_[1276] * vX_[1259] + vX_[251] * vX_[1335] + vX_[288] * vX_[1119] + vX_[287] * vX_[1136] + vX_[310] * vX_[1215] + vX_[309] * vX_[1208] + (vX_[285] * vX_[1121]) / vX_[274] - 0.47422804 * vX_[1128];
+ vX_[1335] = 0.08 * vX_[1194];
+ vX_[1259] = vX_[382] * vX_[309] - vX_[1335] * vX_[310];
+ vX_[413] = vX_[382] * vX_[310] - vX_[1335] * vX_[308];
+ vX_[312] = vX_[311] * vX_[382] + vX_[1259] * vX_[299] - (vX_[312] * vX_[1335] + vX_[413] * vX_[298]);
+ vX_[311] = vX_[287] * vX_[382] - vX_[276] * vX_[1335];
+ vX_[1206] = vX_[288] * vX_[382] - vX_[282] * vX_[1335];
+ vX_[1204] = - vX_[1206];
+ vX_[531] = vX_[278] * vX_[311] + vX_[1502] * vX_[357] + vX_[250] * vX_[1204] + vX_[1598] * vX_[359];
+ vX_[530] = - 4.027 * vX_[382];
+ vX_[273] = 0 - vX_[273] * vX_[382] - (vX_[300] * vX_[382] + vX_[530] * vX_[299]) - vX_[312];
+ vX_[300] = vX_[284] * vX_[1335] + vX_[300] * vX_[1335] + vX_[530] * vX_[298] - vX_[271] * vX_[382];
+ vX_[317] = vX_[278] * vX_[273] + vX_[1502] * vX_[317] + vX_[297] * vX_[300] + vX_[1194] * vX_[301];
+ vX_[367] = 4.027 * vX_[1335];
+ vX_[1335] = vX_[302] * vX_[1335] + vX_[305] * vX_[1335] + vX_[367] * vX_[298] - vX_[312];
+ vX_[300] = vX_[278] * vX_[300] + vX_[1502] * vX_[301] + vX_[297] * vX_[1335] + vX_[1194] * vX_[314];
+ vX_[314] = vX_[318] * vX_[1502] + vX_[317] * vX_[278] + vX_[315] * vX_[1194] + vX_[300] * vX_[297];
+ vX_[301] = vX_[312] + vX_[314];
+ vX_[305] = (vX_[531] - vX_[520] * vX_[301]) / vX_[324];
+ vX_[302] = vX_[312] - (vX_[360] * vX_[305] + vX_[531] * vX_[520]);
+ vX_[300] = vX_[315] * vX_[1502] + vX_[300] * vX_[278] + vX_[318] * vX_[1598] + vX_[317] * vX_[250];
+ vX_[305] = vX_[358] * vX_[1502] + 2. * vX_[1206] * vX_[278] + vX_[565] * vX_[1598] + 2. * vX_[311] * vX_[250] + vX_[297] * vX_[311] + vX_[1194] * vX_[357] + vX_[278] * vX_[1204] + vX_[1502] * vX_[359] - (vX_[319] * vX_[305] + vX_[300] * vX_[520]);
+ vX_[1204] = - vX_[367];
+ vX_[1206] = vX_[250] * vX_[1204] + vX_[1598] * vX_[334] + vX_[278] * vX_[530] + vX_[1502] * vX_[335];
+ vX_[311] = (vX_[1206] - vX_[338] * vX_[301]) / vX_[324];
+ vX_[565] = -(vX_[360] * vX_[311] + vX_[531] * vX_[338]);
+ vX_[367] = vX_[413] + vX_[367];
+ vX_[1259] = vX_[1259] + vX_[530];
+ vX_[1204] = vX_[278] * vX_[1204] + vX_[1502] * vX_[334] + vX_[297] * vX_[530] + vX_[1194] * vX_[335];
+ vX_[530] = vX_[1502] * vX_[287] + vX_[1194] * vX_[288];
+ vX_[335] = vX_[1502] * vX_[276] + vX_[1194] * vX_[282];
+ vX_[334] = vX_[320] * vX_[1598] + vX_[530] * vX_[250] + vX_[321] * vX_[1502] + vX_[335] * vX_[278];
+ vX_[413] = (vX_[334] - vX_[325] * vX_[301]) / vX_[324];
+ vX_[358] = vX_[333] * vX_[1502] + vX_[367] * vX_[278] + vX_[363] * vX_[1598] + vX_[1259] * vX_[250] + vX_[1204] - (vX_[360] * vX_[413] + vX_[531] * vX_[325]);
+ vX_[1256] = vX_[1251] * vX_[1174] + vX_[1250] * vX_[1109] - (vX_[1257] * vX_[1138] + vX_[1256] * vX_[588]);
+ vX_[1140] = vX_[700] * vX_[1140] + vX_[656] * vX_[1516] - (vX_[1084] * vX_[435] + vX_[480] * vX_[1434]);
+ vX_[1160] = -8.81e-05 * vX_[380] + -8.81e-05 * vX_[1090] + 0.026409 * vX_[1132] - (vX_[1258] * vX_[1177] + vX_[1166] * vX_[242]) - (vX_[1262] * vX_[1134] + (vX_[1266] * vX_[1598] * vX_[253] - vX_[1162]) * vX_[1233]) - (vX_[1264] * vX_[1256] + (vX_[1417] * vX_[253] - vX_[1160]) * vX_[1240]) - (vX_[1285] * vX_[1174] + ((vX_[1279] * vX_[1417] - vX_[1280] * vX_[1598]) * vX_[253] + (vX_[1282] * vX_[1598] + vX_[1283] * vX_[1417]) * vX_[251]) * vX_[1109]) - (vX_[1292] * vX_[1138] + ((vX_[1286] * vX_[1417] - vX_[1287] * vX_[1598]) * vX_[253] + (vX_[1289] * vX_[1598] + vX_[1290] * vX_[1417]) * vX_[251]) * vX_[588]) - (vX_[1297] * vX_[1217] + (vX_[1293] * vX_[1598] * vX_[253] - vX_[1295] * vX_[1417] * vX_[251]) * vX_[951]) - 0.1104774 * vX_[1140] - 0.025713 * vX_[1154];
+ vX_[1256] = 0.0004405 * vX_[1140] + -8.81e-05 * (vX_[744] - vX_[412]) + -0.000227999999999999 * vX_[1219] + 8.81e-05 * vX_[1085] + 0.000468 * vX_[1191] - (vX_[1267] * vX_[1177] + vX_[1168] * vX_[242]) - (vX_[1269] * vX_[1134] + vX_[1164] * vX_[1233]) - (vX_[1271] * vX_[1256] + vX_[1402] * vX_[1240]) - (vX_[1305] * vX_[1174] + ((vX_[1299] * vX_[1598] + vX_[1300] * vX_[1417]) * vX_[253] + (vX_[1302] * vX_[1417] + vX_[1303] * vX_[1598]) * vX_[251]) * vX_[1109]) - (vX_[1312] * vX_[1138] + ((vX_[1306] * vX_[1598] + vX_[1307] * vX_[1417]) * vX_[253] + (vX_[1309] * vX_[1417] + vX_[1310] * vX_[1598]) * vX_[251]) * vX_[588]) - (vX_[1317] * vX_[1217] + (vX_[1313] * vX_[1598] * vX_[251] - vX_[1315] * vX_[1417] * vX_[253]) * vX_[951]);
+ vX_[1140] = 0.881 * vX_[1140] + 0.1104774 * vX_[1154] + 0.0004405 * vX_[1219] + -0.1104774 * vX_[1132] + 0.0004405 * vX_[1191] - vX_[328] * vX_[1174] - vX_[249] * vX_[1138] - -8.81e-05 * (vX_[1172] + vX_[1156]);
+ vX_[411] = vX_[1190] * vX_[411] + vX_[418] * vX_[846] - (vX_[1328] * vX_[1432] + vX_[432] * vX_[842]);
+ vX_[1126] = 0.007418 * vX_[1130] + 0.000102 * (0 - vX_[1126]) + vX_[251] * vX_[1160] + vX_[253] * vX_[1256] + -0.35 * vX_[1140] + vX_[304] * vX_[1119] + vX_[296] * vX_[1136] + vX_[282] * vX_[1215] + vX_[288] * vX_[1208] + (vX_[281] * vX_[1121]) / vX_[274] - 0.47422804 * vX_[411] - 0.084376 * vX_[1367] - 2.1e-05 * vX_[384];
+ vX_[1256] = 0.002735 * vX_[1130] + -0.0825825 * vX_[411] + 0.000102 * vX_[384] + vX_[254] * vX_[1160] + vX_[251] * vX_[1256] + vX_[296] * vX_[1119] + vX_[303] * vX_[1136] + vX_[276] * vX_[1215] + vX_[287] * vX_[1208] + (vX_[262] * vX_[1121]) / vX_[274] - 0.007418 * vX_[1367] - 2.1e-05 * (0 - vX_[1128]);
+ vX_[411] = 0.47422804 * vX_[1367] + 3.146 * vX_[411] + -0.0825825 * vX_[1130] + vX_[1140] + vX_[271] * vX_[1119] + vX_[284] * vX_[1136];
+ vX_[1140] = vX_[297] * vX_[1126] + vX_[1194] * vX_[590] + vX_[278] * vX_[1256] + vX_[1502] * vX_[704] + 0.08 * vX_[411];
+ vX_[1130] = 0 - vX_[1140];
+ vX_[1236] = (vX_[274] * vX_[1121]) / vX_[274] + vX_[1236] + vX_[1274] * vX_[388] + vX_[1470] * vX_[1675] + vX_[299] * vX_[1170] + vX_[382] * vX_[1578] + vX_[302] * vX_[1682] + vX_[305] * vX_[1683] + vX_[565] * vX_[1685] + vX_[358] * vX_[1686] + (vX_[360] * vX_[1130] + vX_[531] * vX_[1273] - vX_[601] * vX_[301]) / vX_[324];
+ vX_[314] = vX_[1335] + vX_[273] + vX_[312] - vX_[314] - (vX_[319] * (vX_[300] - vX_[529] * vX_[301]) / vX_[324] + vX_[300] * vX_[529]);
+ vX_[1204] = 0 - vX_[1204] - (vX_[319] * vX_[311] + vX_[300] * vX_[338]);
+ vX_[1335] = vX_[1598] * vX_[276] + vX_[1502] * vX_[282];
+ vX_[273] = vX_[1598] * vX_[287] + vX_[1502] * vX_[288];
+ vX_[312] = vX_[283] * vX_[1502] + vX_[1335] * vX_[278] + vX_[289] * vX_[1598] + vX_[273] * vX_[250] - (vX_[319] * vX_[413] + vX_[300] * vX_[325]);
+ vX_[1256] = vX_[278] * vX_[1126] + vX_[1502] * vX_[590] + vX_[250] * vX_[1256] + vX_[1598] * vX_[704] + vX_[305] * vX_[1682] + vX_[314] * vX_[1683] + vX_[1204] * vX_[1685] + vX_[312] * vX_[1686] + (vX_[319] * vX_[1130] + vX_[300] * vX_[1273] - vX_[1680] * vX_[301]) / vX_[324];
+ vX_[335] = vX_[320] * vX_[1502] + vX_[530] * vX_[278] + vX_[321] * vX_[1194] + vX_[335] * vX_[297];
+ vX_[530] = (vX_[335] - vX_[346] * vX_[301]) / vX_[324];
+ vX_[1259] = vX_[333] * vX_[1194] + vX_[367] * vX_[297] + vX_[363] * vX_[1502] + vX_[1259] * vX_[278] - vX_[1206] - (vX_[360] * vX_[530] + vX_[531] * vX_[346]);
+ vX_[273] = vX_[283] * vX_[1194] + vX_[1335] * vX_[297] + vX_[289] * vX_[1502] + vX_[273] * vX_[278] - (vX_[319] * vX_[530] + vX_[300] * vX_[346]);
+ vX_[1335] = -(vX_[337] * vX_[530] + vX_[1206] * vX_[346]);
+ vX_[341] = vX_[1502] * vX_[310] + vX_[1194] * vX_[341];
+ vX_[343] = vX_[1502] * vX_[343] + vX_[1194] * vX_[310];
+ vX_[289] = vX_[342] * vX_[1502] + vX_[341] * vX_[278] + vX_[344] * vX_[1598] + vX_[343] * vX_[250] - (vX_[322] * vX_[530] + vX_[334] * vX_[346]);
+ vX_[283] = vX_[1229] * vX_[388] + vX_[1343] * vX_[1675] + vX_[698] * vX_[1170] + vX_[1341] * vX_[1578] + vX_[1259] * vX_[1682] + vX_[273] * vX_[1683] + vX_[1335] * vX_[1685] + vX_[289] * vX_[1686] + (vX_[345] * vX_[1130] + vX_[335] * vX_[1273] - vX_[710] * vX_[301]) / vX_[324];
+ vX_[367] = -(vX_[337] * vX_[311] + vX_[1206] * vX_[338]);
+ vX_[311] = -(vX_[322] * vX_[311] + vX_[334] * vX_[338]);
+ vX_[411] = vX_[411] + vX_[565] * vX_[1682] + vX_[1204] * vX_[1683] + vX_[367] * vX_[1685] + vX_[311] * vX_[1686] + (vX_[337] * vX_[1130] + vX_[1206] * vX_[1273] - vX_[1687] * vX_[301]) / vX_[324];
+ vX_[343] = vX_[344] * vX_[1502] + vX_[343] * vX_[278] + vX_[342] * vX_[1194] + vX_[341] * vX_[297];
+ vX_[413] = 0 - vX_[343] - (vX_[322] * vX_[413] + vX_[334] * vX_[325]);
+ vX_[1170] = vX_[1319] * vX_[388] + vX_[460] * vX_[1675] + vX_[250] * vX_[1170] + vX_[1598] * vX_[1578] + vX_[358] * vX_[1682] + vX_[312] * vX_[1683] + vX_[311] * vX_[1685] + vX_[413] * vX_[1686] + (vX_[322] * vX_[1130] + vX_[334] * vX_[1273] - vX_[1678] * vX_[301]) / vX_[324];
+ vX_[343] = vX_[343] - (vX_[345] * vX_[530] + vX_[335] * vX_[346]);
+ vX_[530] = vX_[352] * vX_[343] - vX_[332] * vX_[289];
+ vX_[388] = vX_[352] * vX_[289] - vX_[332] * vX_[413];
+ vX_[1578] = vX_[327] * vX_[413] - vX_[352] * vX_[311];
+ vX_[1675] = vX_[327] * vX_[311] - vX_[352] * vX_[367];
+ vX_[341] = vX_[1578] * vX_[327] - vX_[1675] * vX_[352];
+ vX_[302] = 2. * vX_[1259] * vX_[352] + vX_[302] + vX_[530] * vX_[352] - 2. * vX_[358] * vX_[332] - vX_[388] * vX_[332] - vX_[341];
+ vX_[344] = vX_[332] * vX_[367] - vX_[327] * vX_[1335];
+ vX_[342] = vX_[332] * vX_[1335] - vX_[327] * vX_[343];
+ vX_[314] = 2. * vX_[1204] * vX_[332] + vX_[314] + vX_[344] * vX_[332] - 2. * vX_[273] * vX_[327] - vX_[342] * vX_[327] - vX_[341];
+ vX_[363] = vX_[332] * vX_[311];
+ vX_[333] = vX_[327] * vX_[289];
+ vX_[321] = vX_[363] - vX_[333];
+ vX_[305] = vX_[565] * vX_[332] + vX_[305] + vX_[273] * vX_[352] + vX_[342] * vX_[352] - vX_[312] * vX_[332] - vX_[1259] * vX_[327] - vX_[321] * vX_[332];
+ vX_[320] = vX_[328] * vX_[305];
+ vX_[1126] = (vX_[328] * vX_[314] + vX_[249] * vX_[305]) * vX_[328] + (vX_[320] + vX_[249] * vX_[302]) * vX_[249];
+ vX_[320] = vX_[330] * vX_[314] + vX_[320];
+ vX_[305] = vX_[330] * vX_[305] + vX_[328] * vX_[302];
+ vX_[704] = vX_[320] * vX_[330] + vX_[305] * vX_[328];
+ vX_[314] = vX_[302] + vX_[314] + vX_[341] - vX_[1126] - vX_[704];
+ vX_[1140] = ((vX_[324] * vX_[1130] + vX_[301] * vX_[1273] - vX_[1663] * vX_[301]) / vX_[324] + vX_[1140] + vX_[368] * vX_[411] + vX_[327] * vX_[1170] - vX_[1518] * vX_[314]) / vX_[583];
+ vX_[302] = vX_[352] * vX_[1335];
+ vX_[363] = vX_[302] - vX_[363];
+ vX_[590] = vX_[565] * vX_[352] + vX_[363] * vX_[352] - vX_[358] * vX_[327] - vX_[388] * vX_[327];
+ vX_[1367] = vX_[312] * vX_[327] + vX_[321] * vX_[327] - vX_[1204] * vX_[352] - vX_[344] * vX_[352];
+ vX_[1160] = vX_[330] * vX_[590] + vX_[328] * vX_[1367];
+ vX_[1128] = (vX_[1160] - vX_[1567] * vX_[314]) / vX_[583];
+ vX_[1126] = vX_[341] + vX_[1126] - (vX_[1566] * vX_[1128] + vX_[1160] * vX_[1567]);
+ vX_[384] = (vX_[249] * vX_[1236] + vX_[328] * vX_[1256] + vX_[329] * vX_[411] + vX_[1571] * vX_[1170] - (vX_[1566] * vX_[1140] + vX_[1160] * vX_[1518]) - vX_[1677] * vX_[1126]) / vX_[580];
+ vX_[305] = vX_[320] * vX_[328] + vX_[305] * vX_[249];
+ vX_[1367] = 0 - vX_[249] * vX_[1367] - vX_[328] * vX_[590];
+ vX_[590] = vX_[305] - (vX_[490] * vX_[1128] + vX_[1367] * vX_[1567]);
+ vX_[320] = (vX_[1367] - vX_[584] * vX_[314]) / vX_[583];
+ vX_[305] = (vX_[305] - (vX_[1566] * vX_[320] + vX_[1160] * vX_[584]) - vX_[1565] * vX_[1126]) / vX_[580];
+ vX_[704] = vX_[341] + vX_[704] - (vX_[1568] * vX_[305] + vX_[590] * vX_[1565]) - (vX_[490] * vX_[320] + vX_[1367] * vX_[584]);
+ vX_[1256] = (vX_[328] * vX_[1236] + vX_[330] * vX_[1256] + 0.207 * vX_[283] + vX_[331] * vX_[411] + vX_[1318] * vX_[1170] - (vX_[1568] * vX_[384] + vX_[590] * vX_[1677]) - (vX_[490] * vX_[1140] + vX_[1367] * vX_[1518]) - vX_[1201] * vX_[704]) / vX_[582];
+ vX_[344] = vX_[344] + vX_[1204];
+ vX_[302] = vX_[333] - vX_[302];
+ vX_[363] = vX_[565] + vX_[363] - vX_[302];
+ vX_[565] = vX_[328] * vX_[344] + vX_[249] * vX_[363];
+ vX_[321] = vX_[312] + vX_[321] - vX_[302];
+ vX_[388] = vX_[388] + vX_[358];
+ vX_[358] = vX_[328] * vX_[321] + vX_[249] * vX_[388];
+ vX_[312] = vX_[565] * vX_[249] + vX_[358] * vX_[328] + vX_[302];
+ vX_[530] = vX_[530] + vX_[1259];
+ vX_[1675] = vX_[1675] + vX_[530];
+ vX_[342] = vX_[342] + vX_[273];
+ vX_[1578] = vX_[1578] + vX_[342];
+ vX_[530] = - vX_[530];
+ vX_[273] = vX_[330] * vX_[530] + vX_[328] * vX_[342];
+ vX_[1259] = vX_[1675] * vX_[249] + vX_[1578] * vX_[328] - vX_[273];
+ vX_[333] = vX_[312] - (vX_[1611] * vX_[1128] + vX_[1259] * vX_[1567]);
+ vX_[388] = vX_[330] * vX_[321] + vX_[328] * vX_[388];
+ vX_[363] = vX_[330] * vX_[344] + vX_[328] * vX_[363];
+ vX_[344] = vX_[388] * vX_[328] + vX_[363] * vX_[249];
+ vX_[321] = vX_[344] - (vX_[1587] * vX_[305] + vX_[333] * vX_[1565]) - (vX_[1611] * vX_[320] + vX_[1259] * vX_[584]);
+ vX_[1204] = vX_[273] - (vX_[1630] * vX_[1128] + vX_[302] * vX_[1567]);
+ vX_[530] = vX_[328] * vX_[530] + vX_[249] * vX_[342];
+ vX_[342] = - vX_[530];
+ vX_[1236] = vX_[342] - (vX_[1610] * vX_[305] + vX_[1204] * vX_[1565]) - (vX_[1630] * vX_[320] + vX_[302] * vX_[584]);
+ vX_[367] = vX_[367] - vX_[343];
+ vX_[413] = vX_[413] - vX_[343];
+ vX_[341] = vX_[328] * vX_[311];
+ vX_[432] = (vX_[328] * vX_[413] + vX_[249] * vX_[311]) * vX_[328] + (vX_[341] + vX_[249] * vX_[367]) * vX_[249];
+ vX_[341] = vX_[330] * vX_[413] + vX_[341];
+ vX_[311] = vX_[330] * vX_[311] + vX_[328] * vX_[367];
+ vX_[418] = vX_[341] * vX_[330] + vX_[311] * vX_[328];
+ vX_[1432] = (vX_[302] - vX_[1593] * vX_[314]) / vX_[583];
+ vX_[273] = (vX_[273] - (vX_[1566] * vX_[1432] + vX_[1160] * vX_[1593]) - vX_[1619] * vX_[1126]) / vX_[580];
+ vX_[342] = (vX_[342] - (vX_[1568] * vX_[273] + vX_[590] * vX_[1619]) - (vX_[490] * vX_[1432] + vX_[1367] * vX_[1593]) - vX_[1628] * vX_[704]) / vX_[582];
+ vX_[413] = vX_[367] + vX_[413] + vX_[343] - vX_[432] - vX_[418] - (vX_[1610] * vX_[273] + vX_[1204] * vX_[1619]) - (vX_[1630] * vX_[1432] + vX_[302] * vX_[1593]) - (vX_[1627] * vX_[342] + vX_[1236] * vX_[1628]);
+ vX_[283] = (vX_[283] - (vX_[1610] * vX_[384] + vX_[1204] * vX_[1677]) - (vX_[1630] * vX_[1140] + vX_[302] * vX_[1518]) - (vX_[1627] * vX_[1256] + vX_[1236] * vX_[1201]) - vX_[1110] * vX_[413]) / vX_[1657];
+ vX_[1335] = - vX_[1335];
+ vX_[367] = vX_[330] * vX_[1335] + vX_[328] * vX_[289];
+ vX_[1172] = vX_[367] - (vX_[1587] * vX_[273] + vX_[333] * vX_[1619]) - (vX_[1611] * vX_[1432] + vX_[1259] * vX_[1593]) - (vX_[1575] * vX_[342] + vX_[321] * vX_[1628]);
+ vX_[1132] = (vX_[1259] - vX_[1612] * vX_[314]) / vX_[583];
+ vX_[312] = (vX_[312] - (vX_[1566] * vX_[1132] + vX_[1160] * vX_[1612]) - vX_[1613] * vX_[1126]) / vX_[580];
+ vX_[344] = (vX_[344] - (vX_[1568] * vX_[312] + vX_[590] * vX_[1613]) - (vX_[490] * vX_[1132] + vX_[1367] * vX_[1612]) - vX_[1614] * vX_[704]) / vX_[582];
+ vX_[367] = (vX_[367] - (vX_[1610] * vX_[312] + vX_[1204] * vX_[1613]) - (vX_[1630] * vX_[1132] + vX_[302] * vX_[1612]) - (vX_[1627] * vX_[344] + vX_[1236] * vX_[1614]) - vX_[1599] * vX_[413]) / vX_[1657];
+ vX_[432] = vX_[343] + vX_[432] - (vX_[1587] * vX_[312] + vX_[333] * vX_[1613]) - (vX_[1611] * vX_[1132] + vX_[1259] * vX_[1612]) - (vX_[1575] * vX_[344] + vX_[321] * vX_[1614]) - (vX_[1629] * vX_[367] + vX_[1172] * vX_[1599]);
+ vX_[1154] = (vX_[249] * vX_[411] + vX_[328] * vX_[1170] - (vX_[1587] * vX_[384] + vX_[333] * vX_[1677]) - (vX_[1611] * vX_[1140] + vX_[1259] * vX_[1518]) - (vX_[1575] * vX_[1256] + vX_[321] * vX_[1201]) - (vX_[1629] * vX_[283] + vX_[1172] * vX_[1110]) - vX_[1691] * vX_[432]) / vX_[1654];
+ vX_[358] = vX_[358] * vX_[330] + vX_[565] * vX_[328];
+ vX_[530] = vX_[1675] * vX_[328] + vX_[1578] * vX_[330] + vX_[530];
+ vX_[1578] = vX_[358] - (vX_[1626] * vX_[1128] + vX_[530] * vX_[1567]);
+ vX_[363] = vX_[363] * vX_[328] + vX_[388] * vX_[330] + vX_[302];
+ vX_[388] = vX_[363] - (vX_[748] * vX_[305] + vX_[1578] * vX_[1565]) - (vX_[1626] * vX_[320] + vX_[530] * vX_[584]);
+ vX_[1335] = 0 - vX_[249] * vX_[289] - vX_[328] * vX_[1335];
+ vX_[289] = vX_[1335] - (vX_[748] * vX_[273] + vX_[1578] * vX_[1619]) - (vX_[1626] * vX_[1432] + vX_[530] * vX_[1593]) - (vX_[484] * vX_[342] + vX_[388] * vX_[1628]);
+ vX_[311] = vX_[341] * vX_[328] + vX_[311] * vX_[249];
+ vX_[341] = vX_[311] - (vX_[748] * vX_[312] + vX_[1578] * vX_[1613]) - (vX_[1626] * vX_[1132] + vX_[530] * vX_[1612]) - (vX_[484] * vX_[344] + vX_[388] * vX_[1614]) - (vX_[1664] * vX_[367] + vX_[289] * vX_[1599]);
+ vX_[314] = (vX_[530] - vX_[1658] * vX_[314]) / vX_[583];
+ vX_[358] = (vX_[358] - (vX_[1566] * vX_[314] + vX_[1160] * vX_[1658]) - vX_[1659] * vX_[1126]) / vX_[580];
+ vX_[363] = (vX_[363] - (vX_[1568] * vX_[358] + vX_[590] * vX_[1659]) - (vX_[490] * vX_[314] + vX_[1367] * vX_[1658]) - vX_[1660] * vX_[704]) / vX_[582];
+ vX_[1335] = (vX_[1335] - (vX_[1610] * vX_[358] + vX_[1204] * vX_[1659]) - (vX_[1630] * vX_[314] + vX_[302] * vX_[1658]) - (vX_[1627] * vX_[363] + vX_[1236] * vX_[1660]) - vX_[1665] * vX_[413]) / vX_[1657];
+ vX_[311] = (vX_[311] - (vX_[1587] * vX_[358] + vX_[333] * vX_[1659]) - (vX_[1611] * vX_[314] + vX_[1259] * vX_[1658]) - (vX_[1575] * vX_[363] + vX_[321] * vX_[1660]) - (vX_[1629] * vX_[1335] + vX_[1172] * vX_[1665]) - vX_[1666] * vX_[432]) / vX_[1654];
+ vX_[341] = (vX_[328] * vX_[411] + vX_[1669] * vX_[1170] - (vX_[748] * vX_[384] + vX_[1578] * vX_[1677]) - (vX_[1626] * vX_[1140] + vX_[530] * vX_[1518]) - (vX_[484] * vX_[1256] + vX_[388] * vX_[1201]) - (vX_[1664] * vX_[283] + vX_[289] * vX_[1110]) - (vX_[1584] * vX_[1154] + vX_[341] * vX_[1691]) - vX_[471] * (vX_[343] + vX_[418] - (vX_[748] * vX_[358] + vX_[1578] * vX_[1659]) - (vX_[1626] * vX_[314] + vX_[530] * vX_[1658]) - (vX_[484] * vX_[363] + vX_[388] * vX_[1660]) - (vX_[1664] * vX_[1335] + vX_[289] * vX_[1665]) - (vX_[1584] * vX_[311] + vX_[341] * vX_[1666]))) / vX_[1656];
+ jac[383] = - vX_[341];
+ vX_[311] = vX_[1154] - (vX_[1666] * vX_[341] + vX_[311] * vX_[471]);
+ jac[382] = - vX_[311];
+ vX_[1335] = vX_[283] - (vX_[1665] * vX_[341] + vX_[1335] * vX_[471]) - (vX_[1599] * vX_[311] + vX_[367] * vX_[1353]);
+ jac[381] = - vX_[1335];
+ vX_[363] = vX_[1256] - (vX_[1614] * vX_[311] + vX_[344] * vX_[1353]) - (vX_[1628] * vX_[1335] + vX_[342] * vX_[546]) - (vX_[1660] * vX_[341] + vX_[363] * vX_[471]);
+ jac[380] = - vX_[363];
+ vX_[358] = vX_[384] - (vX_[1619] * vX_[1335] + vX_[273] * vX_[546]) - (vX_[1565] * vX_[363] + vX_[305] * vX_[536]) - (vX_[1613] * vX_[311] + vX_[312] * vX_[1353]) - (vX_[1659] * vX_[341] + vX_[358] * vX_[471]);
+ jac[378] = vX_[584] * vX_[363] + vX_[320] * vX_[536] + vX_[1567] * vX_[358] + vX_[1128] * vX_[1338] + vX_[1593] * vX_[1335] + vX_[1432] * vX_[546] + vX_[1612] * vX_[311] + vX_[1132] * vX_[1353] + vX_[1658] * vX_[341] + vX_[314] * vX_[471] - vX_[1140];
+ jac[379] = - vX_[358];
+ vX_[358] = -1 * jac[378];
+ vX_[363] = vX_[450] * jac[380] + vX_[370] * jac[379];
+ vX_[1335] = vX_[370] * jac[380] + vX_[451] * jac[379];
+ vX_[311] = -1 * jac[381];
+ vX_[341] = 0.207 * jac[380] + vX_[311];
+ vX_[314] = vX_[1481] * jac[380] + vX_[1572] * jac[379] + vX_[448] * jac[378] + vX_[1670] * jac[383] + vX_[1618] * jac[382];
+ jac[384] = (0 - vX_[445] * vX_[358] - vX_[482] * vX_[363] - vX_[440] * vX_[1335] - vX_[467] * vX_[341] - vX_[459] * (vX_[453] * jac[380] + vX_[452] * jac[379] + vX_[1573] * jac[378] + vX_[450] * jac[383] + vX_[1617] * jac[382]) - vX_[443] * vX_[314]) / vX_[445];
+ vX_[1132] = -1 * vX_[363];
+ vX_[1432] = vX_[358] + jac[384];
+ vX_[320] = vX_[371] * vX_[341] + vX_[1562] * vX_[314] + vX_[1275] * vX_[363];
+ vX_[314] = vX_[398] * vX_[341] + vX_[371] * vX_[314] + vX_[419] * vX_[363];
+ jac[385] = (0 - vX_[395] * vX_[1132] - vX_[402] * (vX_[371] * vX_[1432] + vX_[399] * vX_[1335]) - vX_[383] * (vX_[398] * vX_[1432] + vX_[371] * vX_[1335]) - vX_[393] * vX_[320] - vX_[406] * vX_[314]) / vX_[395];
+ vX_[1132] = vX_[1132] + jac[385];
+ jac[386] = (0 - 0.1104774 * (vX_[372] * vX_[320] + vX_[1520] * vX_[314] + vX_[1517] * vX_[1132]) - -0.0004405 * (vX_[374] * vX_[320] + vX_[372] * vX_[314] + vX_[377] * vX_[1132]) - 0.026181 * vX_[1132]) / 0.026181;
+ vX_[1132] = vX_[328] * jac[380] + vX_[249] * jac[379];
+ vX_[314] = vX_[328] * vX_[542] + vX_[249] * vX_[1605] + vX_[1682];
+ vX_[320] = vX_[330] * jac[380] + vX_[328] * jac[379];
+ vX_[1432] = vX_[330] * vX_[542] + vX_[328] * vX_[1605] + vX_[1683];
+ vX_[1335] = 0.207 * jac[380] + jac[381];
+ vX_[341] = 0.207 * vX_[542] + vX_[426];
+ vX_[363] = vX_[331] * vX_[542] + vX_[329] * vX_[1605] + vX_[368] * vX_[624] + vX_[328] * vX_[1632] + vX_[249] * vX_[544] + vX_[1685];
+ vX_[1128] = vX_[1318] * jac[380] + vX_[1571] * jac[379] + vX_[327] * jac[378] + vX_[1669] * jac[383] + vX_[328] * jac[382];
+ vX_[1140] = vX_[1318] * vX_[542] + vX_[1571] * vX_[1605] + vX_[327] * vX_[624] + vX_[1669] * vX_[1632] + vX_[328] * vX_[544] + vX_[1686];
+ vX_[312] = (vX_[1273] - vX_[324] * vX_[624] - vX_[360] * vX_[314] - vX_[319] * vX_[1432] - vX_[345] * vX_[341] - vX_[337] * vX_[363] - vX_[322] * vX_[1140]) / vX_[324];
+ jac[387] = (vX_[1130] - (vX_[324] * jac[378] + vX_[301] * vX_[624]) - (vX_[360] * vX_[1132] + vX_[531] * vX_[314]) - (vX_[319] * vX_[320] + vX_[300] * vX_[1432]) - (vX_[345] * vX_[1335] + vX_[335] * vX_[341]) - (vX_[337] * (vX_[331] * jac[380] + vX_[329] * jac[379] + vX_[368] * jac[378] + vX_[328] * jac[383] + vX_[249] * jac[382]) + vX_[1206] * vX_[363]) - (vX_[322] * vX_[1128] + vX_[334] * vX_[1140]) - vX_[312] * vX_[301]) / vX_[324];
+ vX_[335] = jac[378] + jac[387];
+ vX_[1130] = vX_[624] + vX_[312];
+ vX_[1215] = vX_[1229] * vX_[1335] + vX_[1343] * vX_[341] + vX_[1319] * vX_[1128] + vX_[460] * vX_[1140] + vX_[1274] * vX_[1132] + vX_[1470] * vX_[314] + vX_[1215];
+ vX_[1128] = vX_[698] * vX_[1335] + vX_[1341] * vX_[341] + vX_[250] * vX_[1128] + vX_[1598] * vX_[1140] + vX_[299] * vX_[1132] + vX_[382] * vX_[314] + vX_[1208];
+ jac[388] = (vX_[1121] - vX_[274] * vX_[1132] - vX_[281] * (vX_[297] * vX_[335] + vX_[1194] * vX_[1130] + vX_[278] * vX_[320] + vX_[1502] * vX_[1432] + vX_[1119]) - vX_[262] * (vX_[278] * vX_[335] + vX_[1502] * vX_[1130] + vX_[250] * vX_[320] + vX_[1598] * vX_[1432] + vX_[1136]) - vX_[272] * vX_[1215] - vX_[285] * vX_[1128]) / vX_[274];
+ vX_[1132] = vX_[1132] + jac[388];
+ jac[389] = (vX_[1237] - 0.1104774 * (vX_[251] * vX_[1215] + vX_[1276] * vX_[1128] + vX_[1252] * vX_[1132] + vX_[1085]) - -0.0004405 * (vX_[253] * vX_[1215] + vX_[251] * vX_[1128] + vX_[256] * vX_[1132] + vX_[1090]) - 0.026181 * vX_[1132]) / 0.026181;
+ vX_[1132] = vX_[208] * jac[380] + vX_[138] * jac[379];
+ vX_[1128] = vX_[138] * jac[380] + vX_[209] * jac[379];
+ vX_[311] = 0.207 * jac[380] + vX_[311];
+ vX_[1215] = vX_[998] * jac[380] + vX_[1570] * jac[379] + vX_[206] * jac[378] + vX_[1668] * jac[383] + vX_[1616] * jac[382];
+ jac[390] = (0 - vX_[203] * vX_[358] - vX_[240] * vX_[1132] - vX_[198] * vX_[1128] - vX_[225] * vX_[311] - vX_[217] * (vX_[211] * jac[380] + vX_[210] * jac[379] + vX_[248] * jac[378] + vX_[208] * jac[383] + vX_[1615] * jac[382]) - vX_[201] * vX_[1215]) / vX_[203];
+ vX_[1090] = -1 * vX_[1132];
+ vX_[358] = vX_[358] + jac[390];
+ vX_[1085] = vX_[139] * vX_[311] + vX_[1079] * vX_[1215] + vX_[790] * vX_[1132];
+ vX_[1215] = vX_[159] * vX_[311] + vX_[139] * vX_[1215] + vX_[177] * vX_[1132];
+ jac[391] = (0 - vX_[156] * vX_[1090] - 2.1e-05 * (vX_[139] * vX_[358] + vX_[160] * vX_[1128]) - -0.000102 * (vX_[159] * vX_[358] + vX_[139] * vX_[1128]) - vX_[154] * vX_[1085] - vX_[164] * vX_[1215]) / vX_[156];
+ vX_[1090] = vX_[1090] + jac[391];
+ jac[392] = (0 - 0.110125 * (vX_[142] * vX_[1085] + vX_[1037] * vX_[1215] + vX_[1034] * vX_[1090]) - 0.000881 * (vX_[140] * vX_[1085] + vX_[142] * vX_[1215] + vX_[141] * vX_[1090]) - 0.026181 * vX_[1090]) / 0.026181;
+ vX_[1090] = vX_[96] * jac[380] + vX_[26] * jac[379];
+ vX_[1215] = vX_[98] * jac[380] + vX_[96] * jac[379];
+ vX_[1085] = 0.207 * jac[380] + jac[381];
+ vX_[358] = vX_[834] * jac[380] + vX_[1569] * jac[379] + vX_[95] * jac[378] + vX_[1667] * jac[383] + vX_[96] * jac[382];
+ jac[393] = (0 - vX_[92] * jac[378] - vX_[128] * vX_[1090] - vX_[87] * vX_[1215] - vX_[113] * vX_[1085] - vX_[105] * (vX_[99] * jac[380] + vX_[97] * jac[379] + vX_[136] * jac[378] + vX_[96] * jac[383] + vX_[26] * jac[382]) - vX_[90] * vX_[358]) / vX_[92];
+ vX_[1128] = jac[378] + jac[393];
+ vX_[311] = vX_[746] * vX_[1085] + vX_[835] * vX_[358] + vX_[789] * vX_[1090];
+ vX_[358] = vX_[613] * vX_[1085] + vX_[13] * vX_[358] + vX_[67] * vX_[1090];
+ jac[394] = (0 - vX_[42] * vX_[1090] - vX_[49] * (vX_[65] * vX_[1128] + vX_[46] * vX_[1215]) - vX_[30] * (vX_[46] * vX_[1128] + vX_[13] * vX_[1215]) - vX_[40] * vX_[311] - vX_[53] * vX_[358]) / vX_[42];
+ vX_[1090] = vX_[1090] + jac[394];
+ jac[395] = (0 - 0.1104774 * (vX_[15] * vX_[311] + vX_[791] * vX_[358] + vX_[766] * vX_[1090]) - 0.0004405 * (vX_[23] * vX_[311] + vX_[15] * vX_[358] + vX_[25] * vX_[1090]) - 0.026181 * vX_[1090]) / 0.026181;
+ vX_[1090] = cos(x_in[11]);
+ vX_[358] = -1 * sin(x_in[11]);
+ vX_[311] = 0.35 * vX_[1090];
+ vX_[1128] = vX_[1090] * vX_[846] + vX_[358] * vX_[842] + vX_[311] * vX_[847];
+ vX_[1215] = vX_[953] * vX_[1128];
+ vX_[1085] = vX_[358] * vX_[1190] + vX_[1090] * vX_[1328];
+ vX_[1132] = vX_[1085] * vX_[863];
+ vX_[1237] = - vX_[1090];
+ vX_[335] = vX_[1237] * vX_[1190] + vX_[358] * vX_[1328];
+ vX_[320] = vX_[700] * vX_[335] + vX_[1085] * vX_[1084];
+ vX_[1223] = vX_[1203] * (vX_[1205] * vX_[1090] - vX_[1207] * vX_[358]) + vX_[1214] * (vX_[1216] * vX_[358] + vX_[1218] * vX_[1090]) + vX_[1221] * (vX_[1222] * vX_[1090] - vX_[1223] * vX_[358]);
+ vX_[1227] = ((- vX_[1228]) * 100. * vX_[1223] * vX_[1226]) / vX_[1227];
+ vX_[1139] = vX_[1137] * vX_[358] + vX_[1139] * vX_[1090];
+ vX_[1143] = vX_[1142] * vX_[1090] - vX_[1143] * vX_[358];
+ vX_[1133] = (vX_[1120] * vX_[1090] + vX_[1123] * vX_[358]) * x_in[29] + (vX_[1125] * vX_[358] + vX_[1127] * vX_[1090]) * x_in[28] + (vX_[1131] * vX_[358] + vX_[1133] * vX_[1090]) * x_in[27] + x_in[18] * vX_[1139] - x_in[19] * vX_[1143];
+ vX_[1173] = vX_[1171] * vX_[1090] - vX_[1173] * vX_[358];
+ vX_[1143] = (vX_[1155] * vX_[1090] - vX_[1157] * vX_[358]) * x_in[29] + (vX_[1159] * vX_[1090] - vX_[1161] * vX_[358]) * x_in[28] + (vX_[1165] * vX_[358] + vX_[1167] * vX_[1090]) * x_in[27] + x_in[20] * vX_[1143] - x_in[18] * vX_[1173];
+ vX_[1173] = (vX_[1180] * vX_[1090] - vX_[1181] * vX_[358]) * x_in[29] + (vX_[1183] * vX_[1090] - vX_[1184] * vX_[358]) * x_in[28] + x_in[19] * vX_[1173] - x_in[20] * vX_[1139];
+ vX_[1223] = vX_[1187] * vX_[1227] + -1000. * (vX_[1118] * vX_[1133] + vX_[1153] * vX_[1143] + vX_[1179] * vX_[1173]) * vX_[1228] + 5000. * -100. * vX_[1223] * vX_[1225];
+ vX_[1247] = vX_[1247] * vX_[1227] + -1000. * (vX_[1152] * vX_[1133] + vX_[1117] * vX_[1143] + vX_[1246] * vX_[1173]) * vX_[1228];
+ vX_[1173] = vX_[1114] * vX_[1227] + -1000. * (vX_[1178] * vX_[1133] + vX_[1245] * vX_[1143] + vX_[1150] * vX_[1173]) * vX_[1228];
+ vX_[1143] = vX_[1103] * vX_[1223] + vX_[1243] * vX_[1247] + vX_[1248] * vX_[1173];
+ vX_[1080] = vX_[1036] * vX_[1090] - vX_[1080] * vX_[358];
+ vX_[1036] = vX_[1254] * vX_[1223] + vX_[1232] * vX_[1247] + vX_[1241] * vX_[1173];
+ vX_[1249] = vX_[1244] * vX_[358] + vX_[1249] * vX_[1090];
+ vX_[1244] = vX_[1081] * vX_[1143] + vX_[1080] * vX_[588] - (vX_[1251] * vX_[1036] + vX_[1249] * vX_[951]);
+ vX_[1255] = vX_[1238] * vX_[1090] - vX_[1255] * vX_[358];
+ vX_[1173] = vX_[740] * vX_[1223] + vX_[1102] * vX_[1247] + vX_[1253] * vX_[1173];
+ vX_[1080] = vX_[1257] * vX_[1036] + vX_[1255] * vX_[951] - (vX_[1081] * vX_[1173] + vX_[1080] * vX_[1109]);
+ vX_[1247] = - vX_[1090];
+ vX_[1223] = 0.35 * vX_[358];
+ vX_[1238] = vX_[358] * vX_[846] + vX_[1247] * vX_[842] + vX_[1223] * vX_[847];
+ vX_[1133] = vX_[335] * vX_[863] - vX_[953] * vX_[1238];
+ vX_[1227] = 0.1104774 * (vX_[1215] - vX_[1132]) + 0.025941 * vX_[320] - vX_[328] * vX_[1244] - vX_[249] * vX_[1080] - vX_[1105] * vX_[1173] - vX_[1230] * vX_[1143] - vX_[1235] * vX_[1036] - 0.0004405 * vX_[1133];
+ vX_[1114] = 0 - vX_[1227];
+ vX_[1225] = vX_[335] * vX_[953];
+ vX_[1187] = (- vX_[1128]) * x_in[29];
+ vX_[1139] = vX_[1238] * x_in[29];
+ vX_[1184] = vX_[335] * x_in[29];
+ vX_[1183] = vX_[1098] * vX_[1090] + vX_[1242] * vX_[358];
+ vX_[1181] = vX_[1261] * vX_[358];
+ vX_[1180] = vX_[250] * vX_[358];
+ vX_[1167] = vX_[700] * vX_[1085] + vX_[1085] * vX_[700];
+ vX_[1260] = -0.881 * (vX_[1132] - vX_[1215]) + 0.1104774 * vX_[320] + -8.81e-05 * vX_[1225] + 0.414812462825713 * vX_[1187] + 0.00185880198235362 * vX_[1139] + 8.81e-05 * vX_[1184] + (0.1104774 * vX_[1114]) / 0.026181 - (vX_[1258] * vX_[1173] + vX_[1183] * vX_[1109]) - (vX_[1263] * vX_[1143] + (vX_[1260] * vX_[1090] - vX_[1181]) * vX_[588]) - (vX_[1265] * vX_[1036] + (vX_[277] * vX_[1090] - vX_[1180]) * vX_[951]) - 0.0004405 * vX_[1167];
+ vX_[1165] = vX_[1085] * vX_[953];
+ vX_[1161] = (- vX_[1085]) * x_in[29];
+ vX_[1242] = vX_[1242] * vX_[1090] - vX_[1098] * vX_[358];
+ vX_[1268] = vX_[1268] * vX_[358] - vX_[1261] * vX_[1090];
+ vX_[1270] = vX_[1270] * vX_[1090] - vX_[277] * vX_[358];
+ vX_[1261] = vX_[1084] * vX_[335] + vX_[335] * vX_[1084];
+ vX_[320] = 0.881 * vX_[1133] + -8.81e-05 * vX_[1165] + 0.0004405 * vX_[320] + 0.00185880198235362 * vX_[1187] + 0.880992588508842 * vX_[1139] + -8.81e-05 * vX_[1161] + (-0.0004405 * vX_[1114]) / 0.026181 - (vX_[1267] * vX_[1173] + vX_[1242] * vX_[1109]) - (vX_[1269] * vX_[1143] + vX_[1268] * vX_[588]) - (vX_[1271] * vX_[1036] + vX_[1270] * vX_[951]) - 0.1104774 * vX_[1261];
+ vX_[1227] = (0.026181 * vX_[1114]) / 0.026181 + vX_[1227] + vX_[1252] * vX_[1260] + vX_[1223] * vX_[526] + vX_[256] * vX_[320] + vX_[311] * vX_[1681];
+ vX_[1098] = 0 - vX_[1227];
+ vX_[1159] = -0.35 * vX_[358];
+ vX_[1157] = 0.880992588508842 * vX_[311] - 0.00185880198235362 * vX_[1159];
+ vX_[1155] = 0.00185880198235362 * vX_[311] - 0.414812462825713 * vX_[1159];
+ vX_[267] = vX_[267] * vX_[311] + vX_[1157] * vX_[256] - (vX_[263] * vX_[1159] + vX_[1155] * vX_[259]);
+ vX_[263] = 8.81e-05 * vX_[1090];
+ vX_[1171] = -8.81e-05 * vX_[358];
+ vX_[1131] = 0.881 * vX_[1159];
+ vX_[1155] = vX_[1155] + vX_[1131];
+ vX_[1127] = - 0.881 * vX_[311];
+ vX_[1157] = vX_[1157] + vX_[1127];
+ vX_[1125] = - vX_[1131];
+ vX_[1123] = vX_[251] * vX_[1125] + vX_[358] * vX_[265] + vX_[254] * vX_[1127] + vX_[1237] * vX_[269];
+ vX_[1120] = vX_[266] * vX_[358] + vX_[1155] * vX_[251] + vX_[270] * vX_[1090] + vX_[1157] * vX_[253] + vX_[1123];
+ vX_[1142] = (vX_[1120] - vX_[275] * vX_[267]) / vX_[274];
+ vX_[1137] = -8.81e-05 * vX_[311];
+ vX_[1226] = 2. * vX_[1137];
+ vX_[1222] = - 8.81e-05 * vX_[1159];
+ vX_[1221] = 2. * vX_[1222];
+ vX_[1137] = - vX_[1137];
+ vX_[1218] = vX_[258] * vX_[358] + vX_[1226] * vX_[251] + vX_[261] * vX_[1090] + vX_[1221] * vX_[253] + vX_[254] * vX_[1222] + vX_[1237] * vX_[260] + vX_[251] * vX_[1137] + vX_[358] * vX_[257];
+ vX_[1216] = vX_[279] * vX_[358] + vX_[263] * vX_[251] + vX_[280] * vX_[1090] + vX_[1171] * vX_[253] - (vX_[281] * vX_[1142] + vX_[1218] * vX_[275]);
+ vX_[1214] = 8.81e-05 * vX_[358];
+ vX_[1207] = -8.81e-05 * vX_[1237];
+ vX_[1137] = vX_[258] * vX_[1237] + vX_[1226] * vX_[254] + vX_[261] * vX_[358] + vX_[1221] * vX_[251] - (vX_[251] * vX_[1222] + vX_[358] * vX_[260]) - (vX_[253] * vX_[1137] + vX_[1090] * vX_[257]);
+ vX_[1221] = vX_[252] * vX_[358] + vX_[1214] * vX_[251] + vX_[255] * vX_[1090] + vX_[1207] * vX_[253] - (vX_[262] * vX_[1142] + vX_[1137] * vX_[275]);
+ vX_[1222] = -7.4114911576828e-06 * vX_[1090] + 0.00185880198235362 * vX_[358];
+ vX_[1226] = 0.00185880198235362 * vX_[1090] + -0.466187537174287 * vX_[358];
+ vX_[257] = vX_[306] * vX_[1090] + vX_[1222] * vX_[253] + vX_[307] * vX_[358] + vX_[1226] * vX_[251];
+ vX_[261] = vX_[257] - (vX_[272] * vX_[1142] + vX_[1120] * vX_[275]);
+ vX_[1125] = vX_[253] * vX_[1125] + vX_[1090] * vX_[265] + vX_[251] * vX_[1127] + vX_[358] * vX_[269];
+ vX_[1157] = vX_[266] * vX_[1237] + vX_[1155] * vX_[254] + vX_[270] * vX_[358] + vX_[1157] * vX_[251] - vX_[1125];
+ vX_[1226] = vX_[307] * vX_[1237] + vX_[1226] * vX_[254] + vX_[306] * vX_[358] + vX_[1222] * vX_[251] - (vX_[285] * vX_[1142] + vX_[1157] * vX_[275]);
+ vX_[1689] = vX_[251] * vX_[1260] + vX_[358] * vX_[526] + vX_[253] * vX_[320] + vX_[1090] * vX_[1681] + vX_[1216] * vX_[1622] + vX_[1221] * vX_[1620] + vX_[261] * vX_[1672] + vX_[1226] * vX_[1673] + (vX_[272] * vX_[1098] + vX_[1120] * vX_[1679] - vX_[1689] * vX_[267]) / vX_[274];
+ vX_[1222] = (vX_[1157] - vX_[286] * vX_[267]) / vX_[274];
+ vX_[1171] = vX_[279] * vX_[1237] + vX_[263] * vX_[254] + vX_[280] * vX_[358] + vX_[1171] * vX_[251] - (vX_[281] * vX_[1222] + vX_[1218] * vX_[286]);
+ vX_[1207] = vX_[252] * vX_[1237] + vX_[1214] * vX_[254] + vX_[255] * vX_[358] + vX_[1207] * vX_[251] - (vX_[262] * vX_[1222] + vX_[1137] * vX_[286]);
+ vX_[1222] = 0 - vX_[257] - (vX_[285] * vX_[1222] + vX_[1157] * vX_[286]);
+ vX_[320] = vX_[1276] * vX_[1260] + vX_[1247] * vX_[526] + vX_[251] * vX_[320] + vX_[358] * vX_[1681] + vX_[1171] * vX_[1622] + vX_[1207] * vX_[1620] + vX_[1226] * vX_[1672] + vX_[1222] * vX_[1673] + (vX_[285] * vX_[1098] + vX_[1157] * vX_[1679] - vX_[1674] * vX_[267]) / vX_[274];
+ vX_[1260] = vX_[299] * vX_[1222] - vX_[298] * vX_[1226];
+ vX_[1674] = vX_[299] * vX_[1226] - vX_[298] * vX_[261];
+ vX_[1681] = vX_[1260] * vX_[299] - vX_[1674] * vX_[298];
+ vX_[526] = vX_[1207] * vX_[299] - vX_[1221] * vX_[298];
+ vX_[257] = vX_[1171] * vX_[299] - vX_[1216] * vX_[298];
+ vX_[286] = - vX_[257];
+ vX_[1214] = vX_[278] * vX_[526] + vX_[250] * vX_[286];
+ vX_[1131] = -0.2209548 * vX_[1159] + vX_[264] * vX_[1159] + vX_[1131] * vX_[259] - vX_[267];
+ vX_[264] = 0 - 0.000881 * vX_[311] - (vX_[268] * vX_[311] + vX_[1127] * vX_[256]) - vX_[267];
+ vX_[1127] = 0.0004405 * vX_[1159] + vX_[268] * vX_[1159] + vX_[1127] * vX_[259] - -0.1104774 * vX_[311];
+ vX_[293] = vX_[253] * vX_[264] + vX_[1090] * vX_[293] + vX_[251] * vX_[1127] + vX_[358] * vX_[290];
+ vX_[1127] = vX_[253] * vX_[1127] + vX_[1090] * vX_[290] + vX_[251] * vX_[1131] + vX_[358] * vX_[291];
+ vX_[291] = vX_[294] * vX_[1090] + vX_[293] * vX_[253] + vX_[292] * vX_[358] + vX_[1127] * vX_[251];
+ vX_[264] = vX_[1131] + vX_[264] + vX_[267] - vX_[291] - (vX_[262] * (vX_[1137] - vX_[316] * vX_[267]) / vX_[274] + vX_[1137] * vX_[316]);
+ vX_[1131] = vX_[264] - 2. * vX_[1125] * vX_[299] - vX_[1681];
+ vX_[316] = (vX_[1218] - vX_[295] * vX_[267]) / vX_[274];
+ vX_[1127] = vX_[292] * vX_[1237] + vX_[1127] * vX_[254] + vX_[294] * vX_[358] + vX_[293] * vX_[251] - (vX_[262] * vX_[316] + vX_[1137] * vX_[295]);
+ vX_[1123] = 0 - vX_[1123];
+ vX_[293] = vX_[1127] + vX_[1125] * vX_[298] - vX_[1123] * vX_[299];
+ vX_[294] = vX_[278] * vX_[1131] + vX_[297] * vX_[293];
+ vX_[316] = vX_[267] + vX_[291] - (vX_[281] * vX_[316] + vX_[1218] * vX_[295]);
+ vX_[298] = 2. * vX_[1123] * vX_[298] + vX_[316] - vX_[1681];
+ vX_[293] = vX_[278] * vX_[293] + vX_[297] * vX_[298];
+ vX_[291] = vX_[294] * vX_[278] + vX_[293] * vX_[297];
+ vX_[295] = vX_[1681] + vX_[291];
+ vX_[292] = (vX_[1214] - vX_[520] * vX_[295]) / vX_[324];
+ vX_[290] = vX_[1681] - (vX_[360] * vX_[292] + vX_[1214] * vX_[520]);
+ vX_[293] = vX_[293] * vX_[278] + vX_[294] * vX_[250];
+ vX_[292] = 2. * vX_[257] * vX_[278] + 2. * vX_[526] * vX_[250] + vX_[297] * vX_[526] + vX_[278] * vX_[286] - (vX_[319] * vX_[292] + vX_[293] * vX_[520]);
+ vX_[286] = - vX_[1123];
+ vX_[257] = vX_[250] * vX_[286] + vX_[278] * vX_[1125];
+ vX_[526] = (vX_[257] - vX_[338] * vX_[295]) / vX_[324];
+ vX_[520] = -(vX_[360] * vX_[526] + vX_[1214] * vX_[338]);
+ vX_[1674] = vX_[1674] + vX_[1123];
+ vX_[1260] = vX_[1260] + vX_[1125];
+ vX_[286] = vX_[278] * vX_[286] + vX_[297] * vX_[1125];
+ vX_[294] = vX_[278] * vX_[1207] + vX_[297] * vX_[1171];
+ vX_[1159] = vX_[278] * vX_[1221] + vX_[297] * vX_[1216];
+ vX_[268] = vX_[294] * vX_[250] + vX_[1159] * vX_[278];
+ vX_[259] = (vX_[268] - vX_[325] * vX_[295]) / vX_[324];
+ vX_[255] = vX_[1674] * vX_[278] + vX_[1260] * vX_[250] + vX_[286] - (vX_[360] * vX_[259] + vX_[1214] * vX_[325]);
+ vX_[1255] = vX_[1251] * vX_[1173] + vX_[1249] * vX_[1109] - (vX_[1257] * vX_[1143] + vX_[1255] * vX_[588]);
+ vX_[1238] = vX_[700] * vX_[1238] + vX_[1085] * vX_[1516] - (vX_[1084] * vX_[1128] + vX_[335] * vX_[1434]);
+ vX_[1180] = -8.81e-05 * vX_[1133] + -8.81e-05 * vX_[1139] + 0.026409 * vX_[1161] - (vX_[1258] * vX_[1244] + vX_[1183] * vX_[242]) - (vX_[1262] * vX_[1080] + (vX_[1277] * vX_[1090] - vX_[1181]) * vX_[1233]) - (vX_[1264] * vX_[1255] + (vX_[277] * vX_[1090] - vX_[1180]) * vX_[1240]) - (vX_[1285] * vX_[1173] + (vX_[1281] * vX_[1090] + vX_[1284] * vX_[358]) * vX_[1109]) - (vX_[1292] * vX_[1143] + (vX_[1288] * vX_[1090] + vX_[1291] * vX_[358]) * vX_[588]) - (vX_[1297] * vX_[1036] + (vX_[1294] * vX_[1090] - vX_[1296] * vX_[358]) * vX_[951]) - 0.1104774 * vX_[1238] - 0.025713 * vX_[1165];
+ vX_[1255] = 0.0004405 * vX_[1238] + -8.81e-05 * (vX_[1132] - vX_[1215]) + -0.000227999999999999 * vX_[1225] + 8.81e-05 * vX_[1187] + 0.000468 * vX_[1184] - (vX_[1267] * vX_[1244] + vX_[1242] * vX_[242]) - (vX_[1269] * vX_[1080] + vX_[1268] * vX_[1233]) - (vX_[1271] * vX_[1255] + vX_[1270] * vX_[1240]) - (vX_[1305] * vX_[1173] + (vX_[1301] * vX_[1090] + vX_[1304] * vX_[358]) * vX_[1109]) - (vX_[1312] * vX_[1143] + (vX_[1308] * vX_[1090] + vX_[1311] * vX_[358]) * vX_[588]) - (vX_[1317] * vX_[1036] + (vX_[1314] * vX_[358] - vX_[1316] * vX_[1090]) * vX_[951]);
+ vX_[1238] = 0.881 * vX_[1238] + 0.1104774 * vX_[1165] + 0.0004405 * vX_[1225] + -0.1104774 * vX_[1161] + 0.0004405 * vX_[1184] - vX_[328] * vX_[1173] - vX_[249] * vX_[1143] - -8.81e-05 * (vX_[1261] + vX_[1167]);
+ vX_[316] = vX_[251] * vX_[1180] + vX_[358] * vX_[1351] + vX_[253] * vX_[1255] + vX_[1090] * vX_[1638] + -0.35 * vX_[1238] + vX_[316] * vX_[1622] + vX_[1127] * vX_[1620] + vX_[1216] * vX_[1672] + vX_[1171] * vX_[1673] + (vX_[281] * vX_[1098] + vX_[1218] * vX_[1679] - vX_[1636] * vX_[267]) / vX_[274];
+ vX_[1255] = vX_[254] * vX_[1180] + vX_[1237] * vX_[1351] + vX_[251] * vX_[1255] + vX_[358] * vX_[1638] + vX_[1127] * vX_[1622] + vX_[264] * vX_[1620] + vX_[1221] * vX_[1672] + vX_[1207] * vX_[1673] + (vX_[262] * vX_[1098] + vX_[1137] * vX_[1679] - vX_[611] * vX_[267]) / vX_[274];
+ vX_[1238] = vX_[1238] + vX_[1123] * vX_[1622] + vX_[1125] * vX_[1620];
+ vX_[1123] = vX_[297] * vX_[316] + vX_[278] * vX_[1255] + 0.08 * vX_[1238];
+ vX_[1125] = 0 - vX_[1123];
+ vX_[1227] = (vX_[274] * vX_[1098] + vX_[267] * vX_[1679] - vX_[592] * vX_[267]) / vX_[274] + vX_[1227] + vX_[1274] * vX_[1689] + vX_[299] * vX_[320] + vX_[290] * vX_[1682] + vX_[292] * vX_[1683] + vX_[520] * vX_[1685] + vX_[255] * vX_[1686] + (vX_[360] * vX_[1125] + vX_[1214] * vX_[1273] - vX_[601] * vX_[295]) / vX_[324];
+ vX_[291] = vX_[298] + vX_[1131] + vX_[1681] - vX_[291] - (vX_[319] * (vX_[293] - vX_[529] * vX_[295]) / vX_[324] + vX_[293] * vX_[529]);
+ vX_[286] = 0 - vX_[286] - (vX_[319] * vX_[526] + vX_[293] * vX_[338]);
+ vX_[1221] = vX_[250] * vX_[1221] + vX_[278] * vX_[1216];
+ vX_[1207] = vX_[250] * vX_[1207] + vX_[278] * vX_[1171];
+ vX_[1171] = vX_[1221] * vX_[278] + vX_[1207] * vX_[250] - (vX_[319] * vX_[259] + vX_[293] * vX_[325]);
+ vX_[1255] = vX_[278] * vX_[316] + vX_[250] * vX_[1255] + vX_[292] * vX_[1682] + vX_[291] * vX_[1683] + vX_[286] * vX_[1685] + vX_[1171] * vX_[1686] + (vX_[319] * vX_[1125] + vX_[293] * vX_[1273] - vX_[1680] * vX_[295]) / vX_[324];
+ vX_[1159] = vX_[294] * vX_[278] + vX_[1159] * vX_[297];
+ vX_[294] = (vX_[1159] - vX_[346] * vX_[295]) / vX_[324];
+ vX_[1260] = vX_[1674] * vX_[297] + vX_[1260] * vX_[278] - vX_[257] - (vX_[360] * vX_[294] + vX_[1214] * vX_[346]);
+ vX_[1207] = vX_[1221] * vX_[297] + vX_[1207] * vX_[278] - (vX_[319] * vX_[294] + vX_[293] * vX_[346]);
+ vX_[1221] = -(vX_[337] * vX_[294] + vX_[257] * vX_[346]);
+ vX_[1674] = vX_[278] * vX_[1226] + vX_[297] * vX_[261];
+ vX_[1226] = vX_[278] * vX_[1222] + vX_[297] * vX_[1226];
+ vX_[316] = vX_[1674] * vX_[278] + vX_[1226] * vX_[250] - (vX_[322] * vX_[294] + vX_[268] * vX_[346]);
+ vX_[710] = vX_[1229] * vX_[1689] + vX_[698] * vX_[320] + vX_[1260] * vX_[1682] + vX_[1207] * vX_[1683] + vX_[1221] * vX_[1685] + vX_[316] * vX_[1686] + (vX_[345] * vX_[1125] + vX_[1159] * vX_[1273] - vX_[710] * vX_[295]) / vX_[324];
+ vX_[1680] = -(vX_[337] * vX_[526] + vX_[257] * vX_[338]);
+ vX_[526] = -(vX_[322] * vX_[526] + vX_[268] * vX_[338]);
+ vX_[1238] = vX_[1238] + vX_[520] * vX_[1682] + vX_[286] * vX_[1683] + vX_[1680] * vX_[1685] + vX_[526] * vX_[1686] + (vX_[337] * vX_[1125] + vX_[257] * vX_[1273] - vX_[1687] * vX_[295]) / vX_[324];
+ vX_[1226] = vX_[1226] * vX_[278] + vX_[1674] * vX_[297];
+ vX_[259] = vX_[261] + vX_[1222] - vX_[1226] - (vX_[322] * vX_[259] + vX_[268] * vX_[325]);
+ vX_[320] = vX_[1319] * vX_[1689] + vX_[250] * vX_[320] + vX_[255] * vX_[1682] + vX_[1171] * vX_[1683] + vX_[526] * vX_[1685] + vX_[259] * vX_[1686] + (vX_[322] * vX_[1125] + vX_[268] * vX_[1273] - vX_[1678] * vX_[295]) / vX_[324];
+ vX_[1226] = vX_[1226] - (vX_[345] * vX_[294] + vX_[1159] * vX_[346]);
+ vX_[294] = vX_[352] * vX_[1226] - vX_[332] * vX_[316];
+ vX_[346] = vX_[352] * vX_[316] - vX_[332] * vX_[259];
+ vX_[1689] = vX_[327] * vX_[259] - vX_[352] * vX_[526];
+ vX_[1678] = vX_[327] * vX_[526] - vX_[352] * vX_[1680];
+ vX_[1686] = vX_[1689] * vX_[327] - vX_[1678] * vX_[352];
+ vX_[290] = 2. * vX_[1260] * vX_[352] + vX_[290] + vX_[294] * vX_[352] - 2. * vX_[255] * vX_[332] - vX_[346] * vX_[332] - vX_[1686];
+ vX_[1685] = vX_[332] * vX_[1680] - vX_[327] * vX_[1221];
+ vX_[1683] = vX_[332] * vX_[1221] - vX_[327] * vX_[1226];
+ vX_[291] = 2. * vX_[286] * vX_[332] + vX_[291] + vX_[1685] * vX_[332] - 2. * vX_[1207] * vX_[327] - vX_[1683] * vX_[327] - vX_[1686];
+ vX_[1682] = vX_[332] * vX_[526];
+ vX_[1222] = vX_[327] * vX_[316];
+ vX_[261] = vX_[1682] - vX_[1222];
+ vX_[292] = vX_[520] * vX_[332] + vX_[292] + vX_[1207] * vX_[352] + vX_[1683] * vX_[352] - vX_[1171] * vX_[332] - vX_[1260] * vX_[327] - vX_[261] * vX_[332];
+ vX_[332] = vX_[328] * vX_[292];
+ vX_[325] = (vX_[328] * vX_[291] + vX_[249] * vX_[292]) * vX_[328] + (vX_[332] + vX_[249] * vX_[290]) * vX_[249];
+ vX_[332] = vX_[330] * vX_[291] + vX_[332];
+ vX_[292] = vX_[330] * vX_[292] + vX_[328] * vX_[290];
+ vX_[1674] = vX_[332] * vX_[330] + vX_[292] * vX_[328];
+ vX_[291] = vX_[290] + vX_[291] + vX_[1686] - vX_[325] - vX_[1674];
+ vX_[1123] = ((vX_[324] * vX_[1125] + vX_[295] * vX_[1273] - vX_[1663] * vX_[295]) / vX_[324] + vX_[1123] + vX_[368] * vX_[1238] + vX_[327] * vX_[320] - vX_[1518] * vX_[291]) / vX_[583];
+ vX_[1663] = vX_[352] * vX_[1221];
+ vX_[1682] = vX_[1663] - vX_[1682];
+ vX_[1273] = vX_[520] * vX_[352] + vX_[1682] * vX_[352] - vX_[255] * vX_[327] - vX_[346] * vX_[327];
+ vX_[352] = vX_[1171] * vX_[327] + vX_[261] * vX_[327] - vX_[286] * vX_[352] - vX_[1685] * vX_[352];
+ vX_[290] = vX_[330] * vX_[1273] + vX_[328] * vX_[352];
+ vX_[1687] = (vX_[290] - vX_[1567] * vX_[291]) / vX_[583];
+ vX_[325] = vX_[1686] + vX_[325] - (vX_[1566] * vX_[1687] + vX_[290] * vX_[1567]);
+ vX_[338] = (vX_[249] * vX_[1227] + vX_[328] * vX_[1255] + vX_[329] * vX_[1238] + vX_[1571] * vX_[320] - (vX_[1566] * vX_[1123] + vX_[290] * vX_[1518]) - vX_[1677] * vX_[325]) / vX_[580];
+ vX_[292] = vX_[332] * vX_[328] + vX_[292] * vX_[249];
+ vX_[352] = 0 - vX_[249] * vX_[352] - vX_[328] * vX_[1273];
+ vX_[1273] = vX_[292] - (vX_[490] * vX_[1687] + vX_[352] * vX_[1567]);
+ vX_[332] = (vX_[352] - vX_[584] * vX_[291]) / vX_[583];
+ vX_[292] = (vX_[292] - (vX_[1566] * vX_[332] + vX_[290] * vX_[584]) - vX_[1565] * vX_[325]) / vX_[580];
+ vX_[1674] = vX_[1686] + vX_[1674] - (vX_[1568] * vX_[292] + vX_[1273] * vX_[1565]) - (vX_[490] * vX_[332] + vX_[352] * vX_[584]);
+ vX_[1255] = (vX_[328] * vX_[1227] + vX_[330] * vX_[1255] + 0.207 * vX_[710] + vX_[331] * vX_[1238] + vX_[1318] * vX_[320] - (vX_[1568] * vX_[338] + vX_[1273] * vX_[1677]) - (vX_[490] * vX_[1123] + vX_[352] * vX_[1518]) - vX_[1201] * vX_[1674]) / vX_[582];
+ vX_[1685] = vX_[1685] + vX_[286];
+ vX_[1663] = vX_[1222] - vX_[1663];
+ vX_[1682] = vX_[520] + vX_[1682] - vX_[1663];
+ vX_[520] = vX_[328] * vX_[1685] + vX_[249] * vX_[1682];
+ vX_[261] = vX_[1171] + vX_[261] - vX_[1663];
+ vX_[346] = vX_[346] + vX_[255];
+ vX_[255] = vX_[328] * vX_[261] + vX_[249] * vX_[346];
+ vX_[1171] = vX_[520] * vX_[249] + vX_[255] * vX_[328] + vX_[1663];
+ vX_[294] = vX_[294] + vX_[1260];
+ vX_[1678] = vX_[1678] + vX_[294];
+ vX_[1683] = vX_[1683] + vX_[1207];
+ vX_[1689] = vX_[1689] + vX_[1683];
+ vX_[294] = - vX_[294];
+ vX_[1207] = vX_[330] * vX_[294] + vX_[328] * vX_[1683];
+ vX_[1260] = vX_[1678] * vX_[249] + vX_[1689] * vX_[328] - vX_[1207];
+ vX_[1222] = vX_[1171] - (vX_[1611] * vX_[1687] + vX_[1260] * vX_[1567]);
+ vX_[346] = vX_[330] * vX_[261] + vX_[328] * vX_[346];
+ vX_[1682] = vX_[330] * vX_[1685] + vX_[328] * vX_[1682];
+ vX_[1685] = vX_[346] * vX_[328] + vX_[1682] * vX_[249];
+ vX_[261] = vX_[1685] - (vX_[1587] * vX_[292] + vX_[1222] * vX_[1565]) - (vX_[1611] * vX_[332] + vX_[1260] * vX_[584]);
+ vX_[286] = vX_[1207] - (vX_[1630] * vX_[1687] + vX_[1663] * vX_[1567]);
+ vX_[294] = vX_[328] * vX_[294] + vX_[249] * vX_[1683];
+ vX_[1683] = - vX_[294];
+ vX_[1227] = vX_[1683] - (vX_[1610] * vX_[292] + vX_[286] * vX_[1565]) - (vX_[1630] * vX_[332] + vX_[1663] * vX_[584]);
+ vX_[1680] = vX_[1680] - vX_[1226];
+ vX_[259] = vX_[259] - vX_[1226];
+ vX_[1686] = vX_[328] * vX_[526];
+ vX_[1216] = (vX_[328] * vX_[259] + vX_[249] * vX_[526]) * vX_[328] + (vX_[1686] + vX_[249] * vX_[1680]) * vX_[249];
+ vX_[1686] = vX_[330] * vX_[259] + vX_[1686];
+ vX_[526] = vX_[330] * vX_[526] + vX_[328] * vX_[1680];
+ vX_[298] = vX_[1686] * vX_[330] + vX_[526] * vX_[328];
+ vX_[1131] = (vX_[1663] - vX_[1593] * vX_[291]) / vX_[583];
+ vX_[1207] = (vX_[1207] - (vX_[1566] * vX_[1131] + vX_[290] * vX_[1593]) - vX_[1619] * vX_[325]) / vX_[580];
+ vX_[1683] = (vX_[1683] - (vX_[1568] * vX_[1207] + vX_[1273] * vX_[1619]) - (vX_[490] * vX_[1131] + vX_[352] * vX_[1593]) - vX_[1628] * vX_[1674]) / vX_[582];
+ vX_[259] = vX_[1680] + vX_[259] + vX_[1226] - vX_[1216] - vX_[298] - (vX_[1610] * vX_[1207] + vX_[286] * vX_[1619]) - (vX_[1630] * vX_[1131] + vX_[1663] * vX_[1593]) - (vX_[1627] * vX_[1683] + vX_[1227] * vX_[1628]);
+ vX_[710] = (vX_[710] - (vX_[1610] * vX_[338] + vX_[286] * vX_[1677]) - (vX_[1630] * vX_[1123] + vX_[1663] * vX_[1518]) - (vX_[1627] * vX_[1255] + vX_[1227] * vX_[1201]) - vX_[1110] * vX_[259]) / vX_[1657];
+ vX_[1221] = - vX_[1221];
+ vX_[1680] = vX_[330] * vX_[1221] + vX_[328] * vX_[316];
+ vX_[1681] = vX_[1680] - (vX_[1587] * vX_[1207] + vX_[1222] * vX_[1619]) - (vX_[1611] * vX_[1131] + vX_[1260] * vX_[1593]) - (vX_[1575] * vX_[1683] + vX_[261] * vX_[1628]);
+ vX_[529] = (vX_[1260] - vX_[1612] * vX_[291]) / vX_[583];
+ vX_[1171] = (vX_[1171] - (vX_[1566] * vX_[529] + vX_[290] * vX_[1612]) - vX_[1613] * vX_[325]) / vX_[580];
+ vX_[1685] = (vX_[1685] - (vX_[1568] * vX_[1171] + vX_[1273] * vX_[1613]) - (vX_[490] * vX_[529] + vX_[352] * vX_[1612]) - vX_[1614] * vX_[1674]) / vX_[582];
+ vX_[1680] = (vX_[1680] - (vX_[1610] * vX_[1171] + vX_[286] * vX_[1613]) - (vX_[1630] * vX_[529] + vX_[1663] * vX_[1612]) - (vX_[1627] * vX_[1685] + vX_[1227] * vX_[1614]) - vX_[1599] * vX_[259]) / vX_[1657];
+ vX_[1216] = vX_[1226] + vX_[1216] - (vX_[1587] * vX_[1171] + vX_[1222] * vX_[1613]) - (vX_[1611] * vX_[529] + vX_[1260] * vX_[1612]) - (vX_[1575] * vX_[1685] + vX_[261] * vX_[1614]) - (vX_[1629] * vX_[1680] + vX_[1681] * vX_[1599]);
+ vX_[601] = (vX_[249] * vX_[1238] + vX_[328] * vX_[320] - (vX_[1587] * vX_[338] + vX_[1222] * vX_[1677]) - (vX_[1611] * vX_[1123] + vX_[1260] * vX_[1518]) - (vX_[1575] * vX_[1255] + vX_[261] * vX_[1201]) - (vX_[1629] * vX_[710] + vX_[1681] * vX_[1110]) - vX_[1691] * vX_[1216]) / vX_[1654];
+ vX_[255] = vX_[255] * vX_[330] + vX_[520] * vX_[328];
+ vX_[294] = vX_[1678] * vX_[328] + vX_[1689] * vX_[330] + vX_[294];
+ vX_[1689] = vX_[255] - (vX_[1626] * vX_[1687] + vX_[294] * vX_[1567]);
+ vX_[1682] = vX_[1682] * vX_[328] + vX_[346] * vX_[330] + vX_[1663];
+ vX_[346] = vX_[1682] - (vX_[748] * vX_[292] + vX_[1689] * vX_[1565]) - (vX_[1626] * vX_[332] + vX_[294] * vX_[584]);
+ vX_[1221] = 0 - vX_[249] * vX_[316] - vX_[328] * vX_[1221];
+ vX_[316] = vX_[1221] - (vX_[748] * vX_[1207] + vX_[1689] * vX_[1619]) - (vX_[1626] * vX_[1131] + vX_[294] * vX_[1593]) - (vX_[484] * vX_[1683] + vX_[346] * vX_[1628]);
+ vX_[526] = vX_[1686] * vX_[328] + vX_[526] * vX_[249];
+ vX_[1686] = vX_[526] - (vX_[748] * vX_[1171] + vX_[1689] * vX_[1613]) - (vX_[1626] * vX_[529] + vX_[294] * vX_[1612]) - (vX_[484] * vX_[1685] + vX_[346] * vX_[1614]) - (vX_[1664] * vX_[1680] + vX_[316] * vX_[1599]);
+ vX_[291] = (vX_[294] - vX_[1658] * vX_[291]) / vX_[583];
+ vX_[255] = (vX_[255] - (vX_[1566] * vX_[291] + vX_[290] * vX_[1658]) - vX_[1659] * vX_[325]) / vX_[580];
+ vX_[1682] = (vX_[1682] - (vX_[1568] * vX_[255] + vX_[1273] * vX_[1659]) - (vX_[490] * vX_[291] + vX_[352] * vX_[1658]) - vX_[1660] * vX_[1674]) / vX_[582];
+ vX_[1221] = (vX_[1221] - (vX_[1610] * vX_[255] + vX_[286] * vX_[1659]) - (vX_[1630] * vX_[291] + vX_[1663] * vX_[1658]) - (vX_[1627] * vX_[1682] + vX_[1227] * vX_[1660]) - vX_[1665] * vX_[259]) / vX_[1657];
+ vX_[526] = (vX_[526] - (vX_[1587] * vX_[255] + vX_[1222] * vX_[1659]) - (vX_[1611] * vX_[291] + vX_[1260] * vX_[1658]) - (vX_[1575] * vX_[1682] + vX_[261] * vX_[1660]) - (vX_[1629] * vX_[1221] + vX_[1681] * vX_[1665]) - vX_[1666] * vX_[1216]) / vX_[1654];
+ vX_[1686] = (vX_[328] * vX_[1238] + vX_[1669] * vX_[320] - (vX_[748] * vX_[338] + vX_[1689] * vX_[1677]) - (vX_[1626] * vX_[1123] + vX_[294] * vX_[1518]) - (vX_[484] * vX_[1255] + vX_[346] * vX_[1201]) - (vX_[1664] * vX_[710] + vX_[316] * vX_[1110]) - (vX_[1584] * vX_[601] + vX_[1686] * vX_[1691]) - vX_[471] * (vX_[1226] + vX_[298] - (vX_[748] * vX_[255] + vX_[1689] * vX_[1659]) - (vX_[1626] * vX_[291] + vX_[294] * vX_[1658]) - (vX_[484] * vX_[1682] + vX_[346] * vX_[1660]) - (vX_[1664] * vX_[1221] + vX_[316] * vX_[1665]) - (vX_[1584] * vX_[526] + vX_[1686] * vX_[1666]))) / vX_[1656];
+ jac[419] = - vX_[1686];
+ vX_[526] = vX_[601] - (vX_[1666] * vX_[1686] + vX_[526] * vX_[471]);
+ jac[418] = - vX_[526];
+ vX_[1221] = vX_[710] - (vX_[1665] * vX_[1686] + vX_[1221] * vX_[471]) - (vX_[1599] * vX_[526] + vX_[1680] * vX_[1353]);
+ jac[417] = - vX_[1221];
+ vX_[1682] = vX_[1255] - (vX_[1614] * vX_[526] + vX_[1685] * vX_[1353]) - (vX_[1628] * vX_[1221] + vX_[1683] * vX_[546]) - (vX_[1660] * vX_[1686] + vX_[1682] * vX_[471]);
+ jac[416] = - vX_[1682];
+ vX_[255] = vX_[338] - (vX_[1619] * vX_[1221] + vX_[1207] * vX_[546]) - (vX_[1565] * vX_[1682] + vX_[292] * vX_[536]) - (vX_[1613] * vX_[526] + vX_[1171] * vX_[1353]) - (vX_[1659] * vX_[1686] + vX_[255] * vX_[471]);
+ jac[414] = vX_[584] * vX_[1682] + vX_[332] * vX_[536] + vX_[1567] * vX_[255] + vX_[1687] * vX_[1338] + vX_[1593] * vX_[1221] + vX_[1131] * vX_[546] + vX_[1612] * vX_[526] + vX_[529] * vX_[1353] + vX_[1658] * vX_[1686] + vX_[291] * vX_[471] - vX_[1123];
+ jac[415] = - vX_[255];
+ vX_[255] = -1 * jac[414];
+ vX_[1682] = vX_[450] * jac[416] + vX_[370] * jac[415];
+ vX_[1221] = vX_[370] * jac[416] + vX_[451] * jac[415];
+ vX_[526] = -1 * jac[417];
+ vX_[1686] = 0.207 * jac[416] + vX_[526];
+ vX_[291] = vX_[1481] * jac[416] + vX_[1572] * jac[415] + vX_[448] * jac[414] + vX_[1670] * jac[419] + vX_[1618] * jac[418];
+ jac[420] = (0 - vX_[445] * vX_[255] - vX_[482] * vX_[1682] - vX_[440] * vX_[1221] - vX_[467] * vX_[1686] - vX_[459] * (vX_[453] * jac[416] + vX_[452] * jac[415] + vX_[1573] * jac[414] + vX_[450] * jac[419] + vX_[1617] * jac[418]) - vX_[443] * vX_[291]) / vX_[445];
+ vX_[529] = -1 * vX_[1682];
+ vX_[1131] = vX_[255] + jac[420];
+ vX_[332] = vX_[371] * vX_[1686] + vX_[1562] * vX_[291] + vX_[1275] * vX_[1682];
+ vX_[291] = vX_[398] * vX_[1686] + vX_[371] * vX_[291] + vX_[419] * vX_[1682];
+ jac[421] = (0 - vX_[395] * vX_[529] - vX_[402] * (vX_[371] * vX_[1131] + vX_[399] * vX_[1221]) - vX_[383] * (vX_[398] * vX_[1131] + vX_[371] * vX_[1221]) - vX_[393] * vX_[332] - vX_[406] * vX_[291]) / vX_[395];
+ vX_[529] = vX_[529] + jac[421];
+ jac[422] = (0 - 0.1104774 * (vX_[372] * vX_[332] + vX_[1520] * vX_[291] + vX_[1517] * vX_[529]) - -0.0004405 * (vX_[374] * vX_[332] + vX_[372] * vX_[291] + vX_[377] * vX_[529]) - 0.026181 * vX_[529]) / 0.026181;
+ vX_[529] = vX_[328] * jac[416] + vX_[249] * jac[415];
+ vX_[291] = vX_[330] * jac[416] + vX_[328] * jac[415];
+ vX_[332] = 0.207 * jac[416] + jac[417];
+ vX_[1131] = vX_[1318] * jac[416] + vX_[1571] * jac[415] + vX_[327] * jac[414] + vX_[1669] * jac[419] + vX_[328] * jac[418];
+ jac[423] = (vX_[1125] - (vX_[324] * jac[414] + vX_[295] * vX_[624]) - (vX_[360] * vX_[529] + vX_[1214] * vX_[314]) - (vX_[319] * vX_[291] + vX_[293] * vX_[1432]) - (vX_[345] * vX_[332] + vX_[1159] * vX_[341]) - (vX_[337] * (vX_[331] * jac[416] + vX_[329] * jac[415] + vX_[368] * jac[414] + vX_[328] * jac[419] + vX_[249] * jac[418]) + vX_[257] * vX_[363]) - (vX_[322] * vX_[1131] + vX_[268] * vX_[1140]) - vX_[312] * vX_[295]) / vX_[324];
+ vX_[1159] = jac[414] + jac[423];
+ vX_[1622] = vX_[297] * vX_[1130] + vX_[278] * vX_[1432] + vX_[1622];
+ vX_[1130] = vX_[278] * vX_[1130] + vX_[250] * vX_[1432] + vX_[1620];
+ vX_[1432] = vX_[1229] * vX_[332] + vX_[1319] * vX_[1131] + vX_[1274] * vX_[529];
+ vX_[1672] = vX_[1229] * vX_[341] + vX_[1319] * vX_[1140] + vX_[1274] * vX_[314] + vX_[1672];
+ vX_[1131] = vX_[698] * vX_[332] + vX_[250] * vX_[1131] + vX_[299] * vX_[529];
+ vX_[1140] = vX_[698] * vX_[341] + vX_[250] * vX_[1140] + vX_[299] * vX_[314] + vX_[1673];
+ vX_[1679] = (vX_[1679] - vX_[274] * vX_[314] - vX_[281] * vX_[1622] - vX_[262] * vX_[1130] - vX_[272] * vX_[1672] - vX_[285] * vX_[1140]) / vX_[274];
+ jac[424] = (vX_[1098] - (vX_[274] * vX_[529] + vX_[267] * vX_[314]) - (vX_[281] * (vX_[297] * vX_[1159] + vX_[278] * vX_[291]) + vX_[1218] * vX_[1622]) - (vX_[262] * (vX_[278] * vX_[1159] + vX_[250] * vX_[291]) + vX_[1137] * vX_[1130]) - (vX_[272] * vX_[1432] + vX_[1120] * vX_[1672]) - (vX_[285] * vX_[1131] + vX_[1157] * vX_[1140]) - vX_[1679] * vX_[267]) / vX_[274];
+ vX_[529] = vX_[529] + jac[424];
+ vX_[1679] = vX_[314] + vX_[1679];
+ jac[425] = (vX_[1114] - 0.1104774 * (vX_[251] * vX_[1432] + vX_[358] * vX_[1672] + vX_[1276] * vX_[1131] + vX_[1247] * vX_[1140] + vX_[1252] * vX_[529] + vX_[1223] * vX_[1679] + vX_[1187]) - -0.0004405 * (vX_[253] * vX_[1432] + vX_[1090] * vX_[1672] + vX_[251] * vX_[1131] + vX_[358] * vX_[1140] + vX_[256] * vX_[529] + vX_[311] * vX_[1679] + vX_[1139]) - 0.026181 * vX_[529]) / 0.026181;
+ vX_[1679] = vX_[208] * jac[416] + vX_[138] * jac[415];
+ vX_[529] = vX_[138] * jac[416] + vX_[209] * jac[415];
+ vX_[526] = 0.207 * jac[416] + vX_[526];
+ vX_[1140] = vX_[998] * jac[416] + vX_[1570] * jac[415] + vX_[206] * jac[414] + vX_[1668] * jac[419] + vX_[1616] * jac[418];
+ jac[426] = (0 - vX_[203] * vX_[255] - vX_[240] * vX_[1679] - vX_[198] * vX_[529] - vX_[225] * vX_[526] - vX_[217] * (vX_[211] * jac[416] + vX_[210] * jac[415] + vX_[248] * jac[414] + vX_[208] * jac[419] + vX_[1615] * jac[418]) - vX_[201] * vX_[1140]) / vX_[203];
+ vX_[1131] = -1 * vX_[1679];
+ vX_[255] = vX_[255] + jac[426];
+ vX_[1672] = vX_[139] * vX_[526] + vX_[1079] * vX_[1140] + vX_[790] * vX_[1679];
+ vX_[1140] = vX_[159] * vX_[526] + vX_[139] * vX_[1140] + vX_[177] * vX_[1679];
+ jac[427] = (0 - vX_[156] * vX_[1131] - 2.1e-05 * (vX_[139] * vX_[255] + vX_[160] * vX_[529]) - -0.000102 * (vX_[159] * vX_[255] + vX_[139] * vX_[529]) - vX_[154] * vX_[1672] - vX_[164] * vX_[1140]) / vX_[156];
+ vX_[1131] = vX_[1131] + jac[427];
+ jac[428] = (0 - 0.110125 * (vX_[142] * vX_[1672] + vX_[1037] * vX_[1140] + vX_[1034] * vX_[1131]) - 0.000881 * (vX_[140] * vX_[1672] + vX_[142] * vX_[1140] + vX_[141] * vX_[1131]) - 0.026181 * vX_[1131]) / 0.026181;
+ vX_[1131] = vX_[96] * jac[416] + vX_[26] * jac[415];
+ vX_[1140] = vX_[98] * jac[416] + vX_[96] * jac[415];
+ vX_[1672] = 0.207 * jac[416] + jac[417];
+ vX_[255] = vX_[834] * jac[416] + vX_[1569] * jac[415] + vX_[95] * jac[414] + vX_[1667] * jac[419] + vX_[96] * jac[418];
+ jac[429] = (0 - vX_[92] * jac[414] - vX_[128] * vX_[1131] - vX_[87] * vX_[1140] - vX_[113] * vX_[1672] - vX_[105] * (vX_[99] * jac[416] + vX_[97] * jac[415] + vX_[136] * jac[414] + vX_[96] * jac[419] + vX_[26] * jac[418]) - vX_[90] * vX_[255]) / vX_[92];
+ vX_[529] = jac[414] + jac[429];
+ vX_[526] = vX_[746] * vX_[1672] + vX_[835] * vX_[255] + vX_[789] * vX_[1131];
+ vX_[255] = vX_[613] * vX_[1672] + vX_[13] * vX_[255] + vX_[67] * vX_[1131];
+ jac[430] = (0 - vX_[42] * vX_[1131] - vX_[49] * (vX_[65] * vX_[529] + vX_[46] * vX_[1140]) - vX_[30] * (vX_[46] * vX_[529] + vX_[13] * vX_[1140]) - vX_[40] * vX_[526] - vX_[53] * vX_[255]) / vX_[42];
+ vX_[1131] = vX_[1131] + jac[430];
+ jac[431] = (0 - 0.1104774 * (vX_[15] * vX_[526] + vX_[791] * vX_[255] + vX_[766] * vX_[1131]) - 0.0004405 * (vX_[23] * vX_[526] + vX_[15] * vX_[255] + vX_[25] * vX_[1131]) - 0.026181 * vX_[1131]) / 0.026181;
+ vX_[1131] = -1 * sin(x_in[12]);
+ vX_[255] = - vX_[1131];
+ vX_[526] = cos(x_in[12]);
+ vX_[529] = vX_[255] * x_in[19] + vX_[526] * x_in[20];
+ vX_[1140] = 0.3735 * vX_[1131];
+ vX_[1672] = 0.3735 * vX_[526];
+ vX_[1679] = 0.207 * vX_[526];
+ vX_[1432] = - vX_[1131];
+ vX_[1139] = vX_[1140] * x_in[20] + vX_[1672] * x_in[19] + vX_[1679] * x_in[18] + vX_[526] * x_in[23] + vX_[1432] * x_in[22];
+ vX_[1187] = vX_[529] * vX_[5] - vX_[622] * vX_[1139];
+ vX_[1114] = vX_[529] * vX_[622];
+ vX_[1223] = - vX_[526];
+ vX_[1247] = vX_[1223] * x_in[19] + vX_[255] * x_in[20];
+ vX_[311] = vX_[973] * vX_[1247] + vX_[1247] * vX_[973];
+ vX_[358] = -1 * vX_[1139];
+ vX_[1090] = vX_[139] * vX_[1247];
+ vX_[314] = vX_[712] * vX_[358] + vX_[1090] * vX_[6];
+ vX_[1130] = 0.3735 * vX_[526];
+ vX_[1622] = -0.3735 * vX_[1131];
+ vX_[1159] = -0.207 * vX_[1131];
+ vX_[291] = - vX_[1131];
+ vX_[1157] = - vX_[526];
+ vX_[1137] = vX_[1130] * x_in[20] + vX_[1622] * x_in[19] + vX_[1159] * x_in[18] + vX_[291] * x_in[23] + vX_[1157] * x_in[22];
+ vX_[1218] = vX_[139] * vX_[1137] + vX_[177] * vX_[529];
+ vX_[1120] = -1 * vX_[529];
+ vX_[267] = vX_[711] * vX_[1218] + vX_[1120] * vX_[722];
+ vX_[1098] = vX_[160] * vX_[1247];
+ vX_[341] = vX_[712] * vX_[1098] + vX_[1090] * vX_[959];
+ vX_[1673] = -0.35 * vX_[1098] + vX_[358];
+ vX_[332] = vX_[142] * vX_[1090] + vX_[140] * vX_[1098];
+ vX_[1620] = vX_[1188] * vX_[1673] + vX_[332] * vX_[612];
+ vX_[1125] = vX_[1079] * vX_[1137] + vX_[790] * vX_[529];
+ vX_[268] = vX_[140] * vX_[1125] + vX_[142] * vX_[1218] + vX_[141] * vX_[1120];
+ vX_[257] = vX_[788] * vX_[268] + vX_[1120] * vX_[1104];
+ vX_[293] = vX_[152] * vX_[1090] + vX_[142] * vX_[1098];
+ vX_[295] = vX_[1188] * vX_[293] + vX_[332] * vX_[868];
+ vX_[1214] = (- vX_[268]) * x_in[32];
+ vX_[312] = vX_[142] * vX_[1125] + vX_[1037] * vX_[1218] + vX_[1034] * vX_[1120];
+ vX_[363] = vX_[312] * x_in[32];
+ vX_[1221] = cos(x_in[12]);
+ vX_[1686] = vX_[966] * (0.33 * vX_[1131] * vX_[884] * vX_[969] - 0.33 * vX_[1131] * vX_[139] * vX_[142] - 0.35 * vX_[1131] * vX_[139] - 0.08 * vX_[1131]) + vX_[978] * (0.33 * vX_[1221] * vX_[884] * vX_[969] - 0.33 * vX_[1221] * vX_[139] * vX_[142] - 0.35 * vX_[1221] * vX_[139] - 0.08 * vX_[1221]);
+ vX_[1682] = ((- vX_[991]) * 100. * vX_[1686] * vX_[989]) / vX_[990];
+ vX_[1687] = 0.33 * vX_[1131];
+ vX_[1123] = 0.33 * vX_[1221] * vX_[884] * vX_[882] - 0.33 * vX_[1221] * vX_[139] * vX_[142] - 0.35 * vX_[1221] * vX_[139] - 0.08 * vX_[1221];
+ vX_[1687] = (vX_[1687] * vX_[139] * vX_[882] + 0.33 * vX_[1131] * vX_[884] * vX_[142]) * x_in[32] + (vX_[1687] * vX_[884] * vX_[142] + 0.33 * vX_[1131] * vX_[139] * vX_[882] + 0.35 * vX_[1131] * vX_[884]) * x_in[31] + (0.33 * vX_[1221] * vX_[139] * vX_[142] + -0.33 * vX_[1221] * vX_[884] * vX_[882] + 0.35 * vX_[1221] * vX_[139] + 0.08 * vX_[1221]) * x_in[30] + x_in[18] * vX_[1123];
+ vX_[1171] = 0.33 * vX_[1221];
+ vX_[1207] = 0.33 * vX_[1131] * vX_[884] * vX_[882] - 0.33 * vX_[1131] * vX_[139] * vX_[142] - 0.35 * vX_[1131] * vX_[139] - 0.08 * vX_[1131];
+ vX_[1171] = (vX_[1171] * vX_[139] * vX_[882] + 0.33 * vX_[1221] * vX_[884] * vX_[142]) * x_in[32] + (vX_[1171] * vX_[884] * vX_[142] + 0.33 * vX_[1221] * vX_[139] * vX_[882] + 0.35 * vX_[1221] * vX_[884]) * x_in[31] + (0.33 * vX_[1131] * vX_[884] * vX_[882] - 0.33 * vX_[1131] * vX_[139] * vX_[142] - 0.35 * vX_[1131] * vX_[139] - 0.08 * vX_[1131]) * x_in[30] - x_in[18] * vX_[1207];
+ vX_[1207] = x_in[19] * vX_[1207] - x_in[20] * vX_[1123];
+ vX_[1686] = vX_[950] * vX_[1682] + -1000. * (vX_[879] * vX_[1687] + vX_[916] * vX_[1171] + vX_[942] * vX_[1207]) * vX_[991] + 5000. * -100. * vX_[1686] * vX_[988];
+ vX_[1123] = vX_[1011] * vX_[1682] + -1000. * (vX_[915] * vX_[1687] + vX_[878] * vX_[1171] + vX_[1010] * vX_[1207]) * vX_[991];
+ vX_[1207] = vX_[875] * vX_[1682] + -1000. * (vX_[941] * vX_[1687] + vX_[1009] * vX_[1171] + vX_[913] * vX_[1207]) * vX_[991];
+ vX_[1171] = vX_[861] * vX_[1686] + vX_[1007] * vX_[1123] + vX_[1012] * vX_[1207];
+ vX_[1687] = vX_[1018] * vX_[1686] + vX_[992] * vX_[1123] + vX_[1005] * vX_[1207];
+ vX_[1682] = 0.33 * vX_[526] * vX_[159] * vX_[140] - 0.33 * vX_[526] * vX_[139] * vX_[142] - 0.35 * vX_[526] * vX_[139] - 0.08 * vX_[526];
+ vX_[1221] = vX_[839] * vX_[1171] - (vX_[1015] * vX_[1687] + vX_[1682] * vX_[993]);
+ vX_[884] = 0.33 * vX_[1131] * vX_[159] * vX_[140] - 0.33 * vX_[1131] * vX_[139] * vX_[142] - 0.35 * vX_[1131] * vX_[139] - 0.08 * vX_[1131];
+ vX_[1207] = vX_[870] * vX_[1686] + vX_[860] * vX_[1123] + vX_[1017] * vX_[1207];
+ vX_[1123] = vX_[1021] * vX_[1687] + vX_[884] * vX_[993] - vX_[839] * vX_[1207];
+ vX_[1673] = vX_[868] * vX_[1673] + vX_[293] * vX_[612] - (vX_[788] * vX_[312] + vX_[1120] * vX_[3]);
+ vX_[1686] = 0.110125 * (vX_[257] - vX_[1620]) + 0.025941 * vX_[295] - (vX_[836] * vX_[1221] + (- vX_[526]) * vX_[995]) - (vX_[137] * vX_[1123] + vX_[1131] * vX_[1004]) - (vX_[862] * vX_[1207] + (-0.35 * vX_[1131] * vX_[159] - 0.3735 * vX_[1131]) * vX_[616]) - (vX_[994] * vX_[1171] + (-0.35 * vX_[526] * vX_[159] - 0.3735 * vX_[526]) * vX_[617]) - (vX_[999] * vX_[1687] + (0 - 0.207 * vX_[526]) * vX_[993]) - -0.000881 * vX_[1673];
+ vX_[292] = 0 - vX_[1686];
+ vX_[338] = vX_[1131] * vX_[139];
+ vX_[1685] = vX_[1131] * vX_[159];
+ vX_[1683] = vX_[338] * vX_[140] + vX_[1685] * vX_[142];
+ vX_[1255] = vX_[526] * vX_[139];
+ vX_[1680] = vX_[526] * vX_[159];
+ vX_[710] = vX_[1680] * vX_[142];
+ vX_[601] = vX_[788] * vX_[1120] + vX_[1120] * vX_[788];
+ vX_[257] = -0.881 * (vX_[1620] - vX_[257]) + 0.110125 * vX_[295] + 0.417781802643138 * vX_[1214] + -0.00370574557885489 * vX_[363] + (0.110125 * vX_[292]) / 0.026181 - (vX_[1006] * vX_[1207] + vX_[1683] * vX_[616]) - (vX_[1025] * vX_[1171] + (vX_[1255] * vX_[140] + vX_[710]) * vX_[617]) - vX_[1026] * vX_[1687] - -0.000881 * (vX_[601] + vX_[1188] * vX_[332] + vX_[332] * vX_[1188]);
+ vX_[1685] = vX_[1685] * vX_[140] - vX_[338] * vX_[142];
+ vX_[1680] = vX_[1680] * vX_[140];
+ vX_[601] = 0.881 * vX_[1673] + -0.000881 * vX_[295] + -0.00370574557885489 * vX_[1214] + 0.880970354035369 * vX_[363] + (0.000881 * vX_[292]) / 0.026181 - (vX_[1028] * vX_[1207] + vX_[1685] * vX_[616]) - (vX_[1030] * vX_[1171] + (vX_[1680] - vX_[1255] * vX_[142]) * vX_[617]) - vX_[1032] * vX_[1687] - 0.110125 * (vX_[601] + vX_[868] * vX_[293] + vX_[293] * vX_[868]);
+ vX_[1255] = (- vX_[1090]) * x_in[31];
+ vX_[1673] = vX_[1098] * x_in[31];
+ vX_[295] = (- vX_[1218]) * x_in[31];
+ vX_[338] = vX_[1125] * x_in[31];
+ vX_[1620] = vX_[712] * vX_[1120] + vX_[1090] * vX_[711];
+ vX_[358] = vX_[959] * vX_[358] + vX_[1098] * vX_[6] - (vX_[711] * vX_[1125] + vX_[1120] * vX_[709]);
+ vX_[316] = vX_[959] * vX_[1120] + vX_[1098] * vX_[711];
+ vX_[346] = vX_[959] * vX_[1098] + vX_[1098] * vX_[959];
+ vX_[1689] = vX_[712] * vX_[1090] + vX_[1090] * vX_[712];
+ vX_[1686] = 0.47422804 * (vX_[267] - vX_[314]) + 0.081641 * vX_[341] + 2.1e-05 * vX_[1620] + (0.026181 * vX_[292]) / 0.026181 + vX_[1686] + vX_[1034] * vX_[257] + vX_[141] * vX_[601] - 0.0825825 * vX_[358] - -0.000102 * vX_[316] - -0.007418 * (vX_[346] - vX_[1689]);
+ vX_[294] = 0 - vX_[1686];
+ vX_[298] = vX_[711] * vX_[1120] + vX_[1120] * vX_[711];
+ vX_[267] = -3.146 * (vX_[314] - vX_[267]) + 0.47422804 * vX_[341] + vX_[142] * vX_[257] + vX_[140] * vX_[601] + vX_[161] * vX_[1255] + vX_[158] * vX_[1673] + vX_[187] * vX_[295] + vX_[189] * vX_[338] + (vX_[154] * vX_[294]) / vX_[156] - 0.0825825 * (vX_[298] + vX_[1689]);
+ vX_[358] = 3.146 * vX_[358] + 0.0825825 * vX_[341] + vX_[1037] * vX_[257] + vX_[142] * vX_[601] + vX_[167] * vX_[1255] + vX_[166] * vX_[1673] + vX_[189] * vX_[295] + vX_[188] * vX_[338] + (vX_[164] * vX_[294]) / vX_[156] - 0.47422804 * (vX_[298] + vX_[346]);
+ vX_[601] = (- vX_[1247]) * x_in[30];
+ vX_[257] = vX_[529] * x_in[30];
+ vX_[314] = (- vX_[1137]) * x_in[30];
+ vX_[1226] = vX_[1139] * x_in[30];
+ vX_[320] = vX_[973] * vX_[529] + vX_[1247] * vX_[660];
+ vX_[1238] = vX_[622] * vX_[1137];
+ vX_[1216] = vX_[1247] * vX_[5];
+ vX_[1681] = vX_[1247] * vX_[622];
+ vX_[261] = (- vX_[332]) * x_in[32];
+ vX_[1222] = vX_[526] * vX_[139];
+ vX_[884] = vX_[1015] * vX_[1207] + vX_[1682] * vX_[616] - (vX_[1021] * vX_[1171] + vX_[884] * vX_[617]);
+ vX_[1682] = 0.207 * vX_[1131];
+ vX_[312] = vX_[1188] * vX_[312] + vX_[332] * vX_[3] - (vX_[868] * vX_[268] + vX_[293] * vX_[1104]);
+ vX_[332] = vX_[1188] * vX_[1120] + vX_[332] * vX_[788];
+ vX_[710] = 0.026409 * vX_[261] - (vX_[1006] * vX_[1221] + vX_[1683] * vX_[995]) - (vX_[1024] * vX_[1123] + (vX_[1222] * vX_[140] + vX_[710]) * vX_[1004]) - vX_[1026] * vX_[884] - (vX_[1045] * vX_[1207] + ((0.08 * vX_[526] * vX_[159] - 0.3735 * vX_[526] * vX_[139]) * vX_[140] + ((- 0.08 * vX_[526]) * vX_[139] + -0.3735 * vX_[526] * vX_[159] - 0.35 * vX_[526]) * vX_[142]) * vX_[616]) - (vX_[1052] * vX_[1171] + ((0.3735 * vX_[1131] * vX_[139] - 0.08 * vX_[1131] * vX_[159]) * vX_[140] + (0.08 * vX_[1131] * vX_[139] + 0.3735 * vX_[1131] * vX_[159] + 0.35 * vX_[1131]) * vX_[142]) * vX_[617]) - (vX_[1057] * vX_[1687] + (vX_[1682] * vX_[139] * vX_[140] + 0.207 * vX_[1131] * vX_[159] * vX_[142]) * vX_[993]) - 0.110125 * vX_[312] - 0.025713 * vX_[332];
+ vX_[1120] = vX_[868] * vX_[1120] + vX_[293] * vX_[788];
+ vX_[293] = vX_[293] * x_in[32];
+ vX_[1682] = -0.000227999999999999 * vX_[1120] + -0.000881 * vX_[312] + 0.000468 * vX_[293] - (vX_[1028] * vX_[1221] + vX_[1685] * vX_[995]) - (vX_[1029] * vX_[1123] + (vX_[1680] - vX_[1222] * vX_[142]) * vX_[1004]) - vX_[1060] * vX_[884] - (vX_[1067] * vX_[1207] + (((- 0.08 * vX_[526]) * vX_[139] + -0.3735 * vX_[526] * vX_[159] - 0.35 * vX_[526]) * vX_[140] + ((- 0.08 * vX_[526]) * vX_[159] + 0.3735 * vX_[526] * vX_[139]) * vX_[142]) * vX_[616]) - (vX_[1074] * vX_[1171] + ((0.08 * vX_[1131] * vX_[139] + 0.3735 * vX_[1131] * vX_[159] + 0.35 * vX_[1131]) * vX_[140] + (0.08 * vX_[1131] * vX_[159] - 0.3735 * vX_[1131] * vX_[139]) * vX_[142]) * vX_[617]) - (vX_[1078] * vX_[1687] + (vX_[1682] * vX_[159] * vX_[140] - 0.207 * vX_[1131] * vX_[139] * vX_[142]) * vX_[993]);
+ vX_[293] = 0.110125 * vX_[332] + 0.881 * vX_[312] + -0.000881 * vX_[1120] + -0.110125 * vX_[261] + -0.000881 * vX_[293] - (vX_[840] * vX_[1207] + (- vX_[526]) * vX_[616]) - (vX_[137] * vX_[1171] + vX_[1131] * vX_[617]);
+ vX_[1125] = vX_[712] * vX_[1125] + vX_[1090] * vX_[709] - (vX_[959] * vX_[1218] + vX_[1098] * vX_[722]);
+ vX_[1689] = -0.007418 * vX_[316] + -0.000102 * (vX_[298] - vX_[1689]) + vX_[142] * vX_[710] + vX_[140] * vX_[1682] + -0.35 * vX_[293] + vX_[183] * vX_[1255] + vX_[175] * vX_[1673] + vX_[161] * vX_[295] + vX_[167] * vX_[338] + (2.1e-05 * vX_[294]) / vX_[156] - 0.47422804 * vX_[1125] - 0.084376 * vX_[1620] - 2.1e-05 * vX_[341];
+ vX_[1682] = 0.002735 * vX_[316] + 0.0825825 * vX_[1125] + -0.000102 * vX_[341] + vX_[152] * vX_[710] + vX_[142] * vX_[1682] + vX_[175] * vX_[1255] + vX_[182] * vX_[1673] + vX_[158] * vX_[295] + vX_[166] * vX_[338] + (-0.000102 * vX_[294]) / vX_[156] - -0.007418 * vX_[1620] - 2.1e-05 * (vX_[298] - vX_[346]);
+ vX_[1125] = 0.47422804 * vX_[1620] + 3.146 * vX_[1125] + 0.0825825 * vX_[316] + vX_[293] + vX_[153] * vX_[1255] + vX_[163] * vX_[1673];
+ vX_[293] = vX_[660] * vX_[529] + vX_[529] * vX_[660];
+ vX_[316] = 0.009466 * vX_[320] + 0.1466472 * (vX_[1238] - vX_[1216]) + -5.1e-05 * vX_[1681] + vX_[139] * vX_[1689] + vX_[159] * vX_[1682] + -0.08 * vX_[1125] - 0.022734 * vX_[1114] - 3.6e-05 * (vX_[293] - vX_[311]);
+ vX_[1620] = 0 - vX_[316];
+ vX_[1137] = vX_[973] * vX_[1139] + vX_[1247] * vX_[1336] - (vX_[660] * vX_[1137] + vX_[529] * vX_[657]);
+ vX_[1686] = -0.5824264 * vX_[1187] + 3.6e-05 * vX_[1114] + 0.022734 * (0 - vX_[311]) + vX_[790] * vX_[267] + vX_[177] * vX_[358] + -1 * (vX_[1686] + (vX_[156] * vX_[294]) / vX_[156]) + vX_[507] * vX_[601] + vX_[557] * vX_[257] + vX_[241] * vX_[314] + vX_[230] * vX_[1226] + (vX_[240] * vX_[1620]) / vX_[203] - 0.1466472 * vX_[1137] - -0.123672 * vX_[1681] - -5.1e-05 * vX_[320];
+ vX_[1682] = -0.133138 * vX_[1114] + -0.5824264 * (vX_[1216] - vX_[1238]) + 0.022734 * vX_[320] + vX_[160] * vX_[1689] + vX_[139] * vX_[1682] + vX_[557] * vX_[601] + vX_[202] * vX_[257] + vX_[231] * vX_[314] + vX_[205] * vX_[1226] + (vX_[198] * vX_[1620]) / vX_[203] - 3.6e-05 * vX_[1681] - -5.1e-05 * (0 - vX_[293]);
+ vX_[1137] = 3.44 * vX_[1137] + 0.1466472 * vX_[1681] + vX_[139] * vX_[267] + vX_[159] * vX_[358] + vX_[216] * vX_[601] + vX_[192] * vX_[257] + vX_[234] * vX_[314] + vX_[227] * vX_[1226] + (vX_[225] * vX_[1620]) / vX_[203] - -0.5824264 * (vX_[293] + vX_[311]);
+ vX_[1125] = 0.1466472 * vX_[320] + -3.44 * (vX_[1216] - vX_[1238]) + -0.5824264 * vX_[1114] + -1 * vX_[1125] + vX_[241] * vX_[601] + vX_[231] * vX_[257] + vX_[233] * vX_[314] + vX_[219] * vX_[1226] + (vX_[217] * vX_[1620]) / vX_[203];
+ vX_[293] = 3.44 * vX_[1187] + -0.5824264 * vX_[1681] + vX_[1079] * vX_[267] + vX_[139] * vX_[358] + vX_[230] * vX_[601] + vX_[205] * vX_[257] + vX_[219] * vX_[314] + vX_[245] * vX_[1226] + (vX_[201] * vX_[1620]) / vX_[203] - 0.1466472 * vX_[293];
+ vX_[1681] = 0.207 * vX_[526];
+ vX_[358] = vX_[209] * vX_[1672] + vX_[1223] * vX_[210] + vX_[138] * vX_[1140] + vX_[255] * vX_[211];
+ vX_[267] = vX_[1681] * vX_[244] - vX_[358] * vX_[227];
+ vX_[1187] = vX_[1681] * vX_[227] - vX_[358] * vX_[245];
+ vX_[1216] = -1 * vX_[1159];
+ vX_[1238] = vX_[1216] * vX_[245] - vX_[1681] * vX_[219];
+ vX_[320] = vX_[1216] * vX_[219] - vX_[1681] * vX_[233];
+ vX_[511] = vX_[510] * vX_[1216] + vX_[1238] * vX_[207] - (vX_[511] * vX_[1681] + vX_[320] * vX_[232]);
+ vX_[509] = vX_[505] * vX_[1681] + vX_[508] * vX_[1681] + vX_[267] * vX_[232] - vX_[509] * vX_[358] - (vX_[246] * vX_[358] + vX_[1187] * vX_[212]) - vX_[511];
+ vX_[508] = vX_[358] * vX_[233] - vX_[1216] * vX_[234];
+ vX_[244] = vX_[358] * vX_[234] - vX_[1216] * vX_[244];
+ vX_[516] = vX_[514] * vX_[358] + vX_[235] * vX_[358] + vX_[508] * vX_[212] - vX_[516] * vX_[1216] - (vX_[517] * vX_[1216] + vX_[244] * vX_[207]) - vX_[511];
+ vX_[514] = vX_[358] * vX_[219];
+ vX_[505] = vX_[1216] * vX_[227];
+ vX_[510] = vX_[514] - vX_[505];
+ vX_[358] = vX_[241] * vX_[358] + vX_[192] * vX_[1681] + vX_[517] * vX_[1681] + vX_[244] * vX_[232] - vX_[205] * vX_[358] - vX_[216] * vX_[1216] - (vX_[229] * vX_[358] + vX_[510] * vX_[212]);
+ vX_[517] = vX_[138] * vX_[358] + vX_[255] * vX_[558];
+ vX_[561] = vX_[560] * vX_[1223] + (vX_[209] * vX_[516] + vX_[1223] * vX_[518] + vX_[517]) * vX_[209] + vX_[561] * vX_[255] + (vX_[209] * vX_[358] + vX_[1223] * vX_[558] + vX_[138] * vX_[509] + vX_[255] * vX_[513]) * vX_[138];
+ vX_[358] = vX_[138] * vX_[516] + vX_[255] * vX_[518] + vX_[208] * vX_[358] + vX_[526] * vX_[558];
+ vX_[517] = vX_[517] + vX_[208] * vX_[509] + vX_[526] * vX_[513];
+ vX_[513] = vX_[563] * vX_[255] + vX_[358] * vX_[138] + vX_[559] * vX_[526] + vX_[517] * vX_[208];
+ vX_[516] = vX_[509] + vX_[516] + vX_[511] - vX_[561] - vX_[513];
+ vX_[316] = (vX_[248] * vX_[1125] + vX_[1679] * vX_[1354] + vX_[206] * vX_[293] + vX_[1159] * vX_[1522] + -1 * (vX_[316] + (vX_[203] * vX_[1620]) / vX_[203]) - vX_[1518] * vX_[516]) / vX_[583];
+ vX_[509] = vX_[1681] * vX_[234];
+ vX_[514] = vX_[509] - vX_[514];
+ vX_[246] = vX_[241] * vX_[1681] + vX_[220] * vX_[1681] + vX_[514] * vX_[232] - vX_[230] * vX_[1216] - (vX_[246] * vX_[1216] + vX_[1187] * vX_[207]);
+ vX_[1216] = vX_[205] * vX_[1216] + vX_[229] * vX_[1216] + vX_[510] * vX_[207] - vX_[231] * vX_[1681] - (vX_[235] * vX_[1681] + vX_[508] * vX_[232]);
+ vX_[1681] = vX_[138] * vX_[246] + vX_[255] * vX_[247] + vX_[208] * vX_[1216] + vX_[526] * vX_[236];
+ vX_[235] = (vX_[1681] - vX_[1567] * vX_[516]) / vX_[583];
+ vX_[561] = vX_[511] + vX_[561] - (vX_[1566] * vX_[235] + vX_[1681] * vX_[1567]);
+ vX_[229] = (vX_[138] * vX_[1686] + vX_[255] * vX_[1358] + vX_[209] * vX_[1682] + vX_[1223] * vX_[10] + vX_[210] * vX_[1125] + vX_[1672] * vX_[1354] + vX_[1570] * vX_[293] + vX_[1622] * vX_[1522] - (vX_[1566] * vX_[316] + vX_[1681] * vX_[1518]) - vX_[1677] * vX_[561]) / vX_[580];
+ vX_[517] = vX_[563] * vX_[1223] + vX_[358] * vX_[209] + vX_[559] * vX_[255] + vX_[517] * vX_[138];
+ vX_[1216] = 0 - (vX_[138] * vX_[1216] + vX_[255] * vX_[236]) - (vX_[209] * vX_[246] + vX_[1223] * vX_[247]);
+ vX_[246] = vX_[517] - (vX_[490] * vX_[235] + vX_[1216] * vX_[1567]);
+ vX_[247] = (vX_[1216] - vX_[584] * vX_[516]) / vX_[583];
+ vX_[517] = (vX_[517] - (vX_[1566] * vX_[247] + vX_[1681] * vX_[584]) - vX_[1565] * vX_[561]) / vX_[580];
+ vX_[513] = vX_[511] + vX_[513] - (vX_[1568] * vX_[517] + vX_[246] * vX_[1565]) - (vX_[490] * vX_[247] + vX_[1216] * vX_[584]);
+ vX_[1682] = (vX_[208] * vX_[1686] + vX_[526] * vX_[1358] + vX_[138] * vX_[1682] + vX_[255] * vX_[10] + 0.207 * vX_[1137] + vX_[211] * vX_[1125] + vX_[1140] * vX_[1354] + vX_[998] * vX_[293] + vX_[1130] * vX_[1522] - (vX_[1568] * vX_[229] + vX_[246] * vX_[1677]) - (vX_[490] * vX_[316] + vX_[1216] * vX_[1518]) - vX_[1201] * vX_[513]) / vX_[582];
+ vX_[509] = vX_[505] - vX_[509];
+ vX_[514] = vX_[514] - vX_[509];
+ vX_[505] = vX_[209] * vX_[508] + vX_[1223] * vX_[564] + vX_[138] * vX_[514] + vX_[255] * vX_[555];
+ vX_[510] = vX_[510] - vX_[509];
+ vX_[1686] = vX_[209] * vX_[510] + vX_[1223] * vX_[228] + vX_[138] * vX_[1187] + vX_[255] * vX_[753];
+ vX_[10] = vX_[1576] * vX_[255] + vX_[505] * vX_[138] + vX_[1577] * vX_[1223] + vX_[1686] * vX_[209] + vX_[509];
+ vX_[320] = -1 * (vX_[320] + vX_[267]);
+ vX_[1238] = -1 * (vX_[1238] + vX_[244]);
+ vX_[267] = - vX_[267];
+ vX_[1358] = vX_[138] * vX_[267] + vX_[255] * vX_[1594] + vX_[208] * vX_[244] + vX_[526] * vX_[1596];
+ vX_[511] = vX_[1595] * vX_[255] + vX_[320] * vX_[138] + vX_[1597] * vX_[1223] + vX_[1238] * vX_[209] - vX_[1358];
+ vX_[236] = vX_[10] - (vX_[1611] * vX_[235] + vX_[511] * vX_[1567]);
+ vX_[510] = vX_[138] * vX_[510] + vX_[255] * vX_[228] + vX_[208] * vX_[1187] + vX_[526] * vX_[753];
+ vX_[514] = vX_[138] * vX_[508] + vX_[255] * vX_[564] + vX_[208] * vX_[514] + vX_[526] * vX_[555];
+ vX_[508] = vX_[573] * vX_[1223] + vX_[510] * vX_[209] + vX_[540] * vX_[255] + vX_[514] * vX_[138];
+ vX_[555] = vX_[508] - (vX_[1587] * vX_[517] + vX_[236] * vX_[1565]) - (vX_[1611] * vX_[247] + vX_[511] * vX_[584]);
+ vX_[564] = vX_[1358] - (vX_[1630] * vX_[235] + vX_[509] * vX_[1567]);
+ vX_[267] = vX_[209] * vX_[267] + vX_[1223] * vX_[1594] + vX_[138] * vX_[244] + vX_[255] * vX_[1596];
+ vX_[244] = - vX_[267];
+ vX_[1594] = vX_[244] - (vX_[1610] * vX_[517] + vX_[564] * vX_[1565]) - (vX_[1630] * vX_[247] + vX_[509] * vX_[584]);
+ vX_[1596] = vX_[255] * vX_[219];
+ vX_[1641] = vX_[1640] * vX_[1223] + (vX_[1223] * vX_[1604] + vX_[1596]) * vX_[209] + vX_[1641] * vX_[255] + (vX_[1223] * vX_[219] + vX_[255] * vX_[1621]) * vX_[138];
+ vX_[1604] = vX_[255] * vX_[1604] + vX_[526] * vX_[219];
+ vX_[1596] = vX_[1596] + vX_[526] * vX_[1621];
+ vX_[1621] = vX_[1643] * vX_[255] + vX_[1604] * vX_[138] + vX_[1639] * vX_[526] + vX_[1596] * vX_[208];
+ vX_[1640] = (vX_[509] - vX_[1593] * vX_[516]) / vX_[583];
+ vX_[1358] = (vX_[1358] - (vX_[1566] * vX_[1640] + vX_[1681] * vX_[1593]) - vX_[1619] * vX_[561]) / vX_[580];
+ vX_[244] = (vX_[244] - (vX_[1568] * vX_[1358] + vX_[246] * vX_[1619]) - (vX_[490] * vX_[1640] + vX_[1216] * vX_[1593]) - vX_[1628] * vX_[513]) / vX_[582];
+ vX_[1187] = 0 - vX_[1641] - vX_[1621] - (vX_[1610] * vX_[1358] + vX_[564] * vX_[1619]) - (vX_[1630] * vX_[1640] + vX_[509] * vX_[1593]) - (vX_[1627] * vX_[244] + vX_[1594] * vX_[1628]);
+ vX_[1137] = (-1 * vX_[1137] - (vX_[1610] * vX_[229] + vX_[564] * vX_[1677]) - (vX_[1630] * vX_[316] + vX_[509] * vX_[1518]) - (vX_[1627] * vX_[1682] + vX_[1594] * vX_[1201]) - vX_[1110] * vX_[1187]) / vX_[1657];
+ vX_[753] = vX_[255] * vX_[562] + vX_[526] * vX_[227];
+ vX_[228] = vX_[753] - (vX_[1587] * vX_[1358] + vX_[236] * vX_[1619]) - (vX_[1611] * vX_[1640] + vX_[511] * vX_[1593]) - (vX_[1575] * vX_[244] + vX_[555] * vX_[1628]);
+ vX_[358] = (vX_[511] - vX_[1612] * vX_[516]) / vX_[583];
+ vX_[10] = (vX_[10] - (vX_[1566] * vX_[358] + vX_[1681] * vX_[1612]) - vX_[1613] * vX_[561]) / vX_[580];
+ vX_[508] = (vX_[508] - (vX_[1568] * vX_[10] + vX_[246] * vX_[1613]) - (vX_[490] * vX_[358] + vX_[1216] * vX_[1612]) - vX_[1614] * vX_[513]) / vX_[582];
+ vX_[753] = (vX_[753] - (vX_[1610] * vX_[10] + vX_[564] * vX_[1613]) - (vX_[1630] * vX_[358] + vX_[509] * vX_[1612]) - (vX_[1627] * vX_[508] + vX_[1594] * vX_[1614]) - vX_[1599] * vX_[1187]) / vX_[1657];
+ vX_[1641] = vX_[1641] - (vX_[1587] * vX_[10] + vX_[236] * vX_[1613]) - (vX_[1611] * vX_[358] + vX_[511] * vX_[1612]) - (vX_[1575] * vX_[508] + vX_[555] * vX_[1614]) - (vX_[1629] * vX_[753] + vX_[228] * vX_[1599]);
+ vX_[559] = (vX_[1615] * vX_[1125] + vX_[1432] * vX_[1354] + vX_[1616] * vX_[293] + vX_[1157] * vX_[1522] - (vX_[1587] * vX_[229] + vX_[236] * vX_[1677]) - (vX_[1611] * vX_[316] + vX_[511] * vX_[1518]) - (vX_[1575] * vX_[1682] + vX_[555] * vX_[1201]) - (vX_[1629] * vX_[1137] + vX_[228] * vX_[1110]) - vX_[1691] * vX_[1641]) / vX_[1654];
+ vX_[1686] = vX_[1577] * vX_[255] + vX_[1686] * vX_[138] + vX_[1576] * vX_[526] + vX_[505] * vX_[208];
+ vX_[267] = vX_[1595] * vX_[526] + vX_[320] * vX_[208] + vX_[1597] * vX_[255] + vX_[1238] * vX_[138] + vX_[267];
+ vX_[1238] = vX_[1686] - (vX_[1626] * vX_[235] + vX_[267] * vX_[1567]);
+ vX_[514] = vX_[540] * vX_[526] + vX_[514] * vX_[208] + vX_[573] * vX_[255] + vX_[510] * vX_[138] + vX_[509];
+ vX_[510] = vX_[514] - (vX_[748] * vX_[517] + vX_[1238] * vX_[1565]) - (vX_[1626] * vX_[247] + vX_[267] * vX_[584]);
+ vX_[562] = 0 - vX_[255] * vX_[227] - vX_[1223] * vX_[562];
+ vX_[540] = vX_[562] - (vX_[748] * vX_[1358] + vX_[1238] * vX_[1619]) - (vX_[1626] * vX_[1640] + vX_[267] * vX_[1593]) - (vX_[484] * vX_[244] + vX_[510] * vX_[1628]);
+ vX_[1596] = vX_[1643] * vX_[1223] + vX_[1604] * vX_[209] + vX_[1639] * vX_[255] + vX_[1596] * vX_[138];
+ vX_[1604] = vX_[1596] - (vX_[748] * vX_[10] + vX_[1238] * vX_[1613]) - (vX_[1626] * vX_[358] + vX_[267] * vX_[1612]) - (vX_[484] * vX_[508] + vX_[510] * vX_[1614]) - (vX_[1664] * vX_[753] + vX_[540] * vX_[1599]);
+ vX_[516] = (vX_[267] - vX_[1658] * vX_[516]) / vX_[583];
+ vX_[1686] = (vX_[1686] - (vX_[1566] * vX_[516] + vX_[1681] * vX_[1658]) - vX_[1659] * vX_[561]) / vX_[580];
+ vX_[514] = (vX_[514] - (vX_[1568] * vX_[1686] + vX_[246] * vX_[1659]) - (vX_[490] * vX_[516] + vX_[1216] * vX_[1658]) - vX_[1660] * vX_[513]) / vX_[582];
+ vX_[562] = (vX_[562] - (vX_[1610] * vX_[1686] + vX_[564] * vX_[1659]) - (vX_[1630] * vX_[516] + vX_[509] * vX_[1658]) - (vX_[1627] * vX_[514] + vX_[1594] * vX_[1660]) - vX_[1665] * vX_[1187]) / vX_[1657];
+ vX_[1596] = (vX_[1596] - (vX_[1587] * vX_[1686] + vX_[236] * vX_[1659]) - (vX_[1611] * vX_[516] + vX_[511] * vX_[1658]) - (vX_[1575] * vX_[514] + vX_[555] * vX_[1660]) - (vX_[1629] * vX_[562] + vX_[228] * vX_[1665]) - vX_[1666] * vX_[1641]) / vX_[1654];
+ vX_[1604] = (vX_[208] * vX_[1125] + vX_[526] * vX_[1354] + vX_[1668] * vX_[293] + vX_[291] * vX_[1522] - (vX_[748] * vX_[229] + vX_[1238] * vX_[1677]) - (vX_[1626] * vX_[316] + vX_[267] * vX_[1518]) - (vX_[484] * vX_[1682] + vX_[510] * vX_[1201]) - (vX_[1664] * vX_[1137] + vX_[540] * vX_[1110]) - (vX_[1584] * vX_[559] + vX_[1604] * vX_[1691]) - vX_[471] * (vX_[1621] - (vX_[748] * vX_[1686] + vX_[1238] * vX_[1659]) - (vX_[1626] * vX_[516] + vX_[267] * vX_[1658]) - (vX_[484] * vX_[514] + vX_[510] * vX_[1660]) - (vX_[1664] * vX_[562] + vX_[540] * vX_[1665]) - (vX_[1584] * vX_[1596] + vX_[1604] * vX_[1666]))) / vX_[1656];
+ jac[455] = - vX_[1604];
+ vX_[1596] = vX_[559] - (vX_[1666] * vX_[1604] + vX_[1596] * vX_[471]);
+ jac[454] = - vX_[1596];
+ vX_[562] = vX_[1137] - (vX_[1665] * vX_[1604] + vX_[562] * vX_[471]) - (vX_[1599] * vX_[1596] + vX_[753] * vX_[1353]);
+ jac[453] = - vX_[562];
+ vX_[514] = vX_[1682] - (vX_[1614] * vX_[1596] + vX_[508] * vX_[1353]) - (vX_[1628] * vX_[562] + vX_[244] * vX_[546]) - (vX_[1660] * vX_[1604] + vX_[514] * vX_[471]);
+ jac[452] = - vX_[514];
+ vX_[1686] = vX_[229] - (vX_[1619] * vX_[562] + vX_[1358] * vX_[546]) - (vX_[1565] * vX_[514] + vX_[517] * vX_[536]) - (vX_[1613] * vX_[1596] + vX_[10] * vX_[1353]) - (vX_[1659] * vX_[1604] + vX_[1686] * vX_[471]);
+ jac[450] = vX_[584] * vX_[514] + vX_[247] * vX_[536] + vX_[1567] * vX_[1686] + vX_[235] * vX_[1338] + vX_[1593] * vX_[562] + vX_[1640] * vX_[546] + vX_[1612] * vX_[1596] + vX_[358] * vX_[1353] + vX_[1658] * vX_[1604] + vX_[516] * vX_[471] - vX_[316];
+ jac[451] = - vX_[1686];
+ vX_[1686] = -1 * jac[450];
+ vX_[514] = vX_[450] * jac[452] + vX_[370] * jac[451];
+ vX_[562] = vX_[370] * jac[452] + vX_[451] * jac[451];
+ vX_[1596] = -1 * jac[453];
+ vX_[1604] = 0.207 * jac[452] + vX_[1596];
+ vX_[516] = vX_[1481] * jac[452] + vX_[1572] * jac[451] + vX_[448] * jac[450] + vX_[1670] * jac[455] + vX_[1618] * jac[454];
+ jac[456] = (0 - vX_[445] * vX_[1686] - vX_[482] * vX_[514] - vX_[440] * vX_[562] - vX_[467] * vX_[1604] - vX_[459] * (vX_[453] * jac[452] + vX_[452] * jac[451] + vX_[1573] * jac[450] + vX_[450] * jac[455] + vX_[1617] * jac[454]) - vX_[443] * vX_[516]) / vX_[445];
+ vX_[358] = -1 * vX_[514];
+ vX_[1640] = vX_[1686] + jac[456];
+ vX_[247] = vX_[371] * vX_[1604] + vX_[1562] * vX_[516] + vX_[1275] * vX_[514];
+ vX_[516] = vX_[398] * vX_[1604] + vX_[371] * vX_[516] + vX_[419] * vX_[514];
+ jac[457] = (0 - vX_[395] * vX_[358] - vX_[402] * (vX_[371] * vX_[1640] + vX_[399] * vX_[562]) - vX_[383] * (vX_[398] * vX_[1640] + vX_[371] * vX_[562]) - vX_[393] * vX_[247] - vX_[406] * vX_[516]) / vX_[395];
+ vX_[358] = vX_[358] + jac[457];
+ jac[458] = (0 - 0.1104774 * (vX_[372] * vX_[247] + vX_[1520] * vX_[516] + vX_[1517] * vX_[358]) - -0.0004405 * (vX_[374] * vX_[247] + vX_[372] * vX_[516] + vX_[377] * vX_[358]) - 0.026181 * vX_[358]) / 0.026181;
+ vX_[358] = vX_[328] * jac[452] + vX_[249] * jac[451];
+ vX_[516] = vX_[330] * jac[452] + vX_[328] * jac[451];
+ vX_[247] = 0.207 * jac[452] + jac[453];
+ vX_[1640] = vX_[1318] * jac[452] + vX_[1571] * jac[451] + vX_[327] * jac[450] + vX_[1669] * jac[455] + vX_[328] * jac[454];
+ jac[459] = (0 - vX_[324] * jac[450] - vX_[360] * vX_[358] - vX_[319] * vX_[516] - vX_[345] * vX_[247] - vX_[337] * (vX_[331] * jac[452] + vX_[329] * jac[451] + vX_[368] * jac[450] + vX_[328] * jac[455] + vX_[249] * jac[454]) - vX_[322] * vX_[1640]) / vX_[324];
+ vX_[562] = jac[450] + jac[459];
+ vX_[1604] = vX_[1229] * vX_[247] + vX_[1319] * vX_[1640] + vX_[1274] * vX_[358];
+ vX_[1640] = vX_[698] * vX_[247] + vX_[250] * vX_[1640] + vX_[299] * vX_[358];
+ jac[460] = (0 - vX_[274] * vX_[358] - vX_[281] * (vX_[297] * vX_[562] + vX_[278] * vX_[516]) - vX_[262] * (vX_[278] * vX_[562] + vX_[250] * vX_[516]) - vX_[272] * vX_[1604] - vX_[285] * vX_[1640]) / vX_[274];
+ vX_[358] = vX_[358] + jac[460];
+ jac[461] = (0 - 0.1104774 * (vX_[251] * vX_[1604] + vX_[1276] * vX_[1640] + vX_[1252] * vX_[358]) - -0.0004405 * (vX_[253] * vX_[1604] + vX_[251] * vX_[1640] + vX_[256] * vX_[358]) - 0.026181 * vX_[358]) / 0.026181;
+ vX_[601] = vX_[208] * jac[452] + vX_[526] * vX_[542] + vX_[138] * jac[451] + vX_[255] * vX_[1605] + vX_[601];
+ vX_[257] = vX_[138] * jac[452] + vX_[255] * vX_[542] + vX_[209] * jac[451] + vX_[1223] * vX_[1605] + vX_[257];
+ vX_[1596] = 0.207 * jac[452] + vX_[1596];
+ vX_[1226] = vX_[998] * jac[452] + vX_[1130] * vX_[542] + vX_[1570] * jac[451] + vX_[1622] * vX_[1605] + vX_[206] * jac[450] + vX_[1159] * vX_[624] + vX_[1668] * jac[455] + vX_[291] * vX_[1632] + vX_[1616] * jac[454] + vX_[1157] * vX_[544] + vX_[1226];
+ jac[462] = (vX_[1620] - vX_[203] * vX_[1686] - vX_[240] * vX_[601] - vX_[198] * vX_[257] - vX_[225] * vX_[1596] - vX_[217] * (vX_[211] * jac[452] + vX_[1140] * vX_[542] + vX_[210] * jac[451] + vX_[1672] * vX_[1605] + vX_[248] * jac[450] + vX_[1679] * vX_[624] + vX_[208] * jac[455] + vX_[526] * vX_[1632] + vX_[1615] * jac[454] + vX_[1432] * vX_[544] + vX_[314]) - vX_[201] * vX_[1226]) / vX_[203];
+ vX_[1620] = -1 * vX_[601];
+ vX_[1686] = vX_[1686] + jac[462];
+ vX_[295] = vX_[139] * vX_[1596] + vX_[1079] * vX_[1226] + vX_[790] * vX_[601] + vX_[295];
+ vX_[1226] = vX_[159] * vX_[1596] + vX_[139] * vX_[1226] + vX_[177] * vX_[601] + vX_[338];
+ jac[463] = (vX_[294] - vX_[156] * vX_[1620] - 2.1e-05 * (vX_[139] * vX_[1686] + vX_[160] * vX_[257] + vX_[1255]) - -0.000102 * (vX_[159] * vX_[1686] + vX_[139] * vX_[257] + vX_[1673]) - vX_[154] * vX_[295] - vX_[164] * vX_[1226]) / vX_[156];
+ vX_[1620] = vX_[1620] + jac[463];
+ jac[464] = (vX_[292] - 0.110125 * (vX_[142] * vX_[295] + vX_[1037] * vX_[1226] + vX_[1034] * vX_[1620] + vX_[1214]) - 0.000881 * (vX_[140] * vX_[295] + vX_[142] * vX_[1226] + vX_[141] * vX_[1620] + vX_[363]) - 0.026181 * vX_[1620]) / 0.026181;
+ vX_[1620] = vX_[96] * jac[452] + vX_[26] * jac[451];
+ vX_[1226] = vX_[98] * jac[452] + vX_[96] * jac[451];
+ vX_[295] = 0.207 * jac[452] + jac[453];
+ vX_[292] = vX_[834] * jac[452] + vX_[1569] * jac[451] + vX_[95] * jac[450] + vX_[1667] * jac[455] + vX_[96] * jac[454];
+ jac[465] = (0 - vX_[92] * jac[450] - vX_[128] * vX_[1620] - vX_[87] * vX_[1226] - vX_[113] * vX_[295] - vX_[105] * (vX_[99] * jac[452] + vX_[97] * jac[451] + vX_[136] * jac[450] + vX_[96] * jac[455] + vX_[26] * jac[454]) - vX_[90] * vX_[292]) / vX_[92];
+ vX_[363] = jac[450] + jac[465];
+ vX_[1214] = vX_[746] * vX_[295] + vX_[835] * vX_[292] + vX_[789] * vX_[1620];
+ vX_[292] = vX_[613] * vX_[295] + vX_[13] * vX_[292] + vX_[67] * vX_[1620];
+ jac[466] = (0 - vX_[42] * vX_[1620] - vX_[49] * (vX_[65] * vX_[363] + vX_[46] * vX_[1226]) - vX_[30] * (vX_[46] * vX_[363] + vX_[13] * vX_[1226]) - vX_[40] * vX_[1214] - vX_[53] * vX_[292]) / vX_[42];
+ vX_[1620] = vX_[1620] + jac[466];
+ jac[467] = (0 - 0.1104774 * (vX_[15] * vX_[1214] + vX_[791] * vX_[292] + vX_[766] * vX_[1620]) - 0.0004405 * (vX_[23] * vX_[1214] + vX_[15] * vX_[292] + vX_[25] * vX_[1620]) - 0.026181 * vX_[1620]) / 0.026181;
+ vX_[1620] = -1 * sin(x_in[13]);
+ vX_[292] = cos(x_in[13]);
+ vX_[1214] = vX_[1620] * vX_[973] + vX_[292] * vX_[622];
+ vX_[363] = vX_[1214] * vX_[6];
+ vX_[1226] = -0.08 * vX_[292];
+ vX_[295] = vX_[292] * vX_[5] + vX_[1620] * vX_[657] + vX_[1226] * vX_[660];
+ vX_[1686] = vX_[711] * vX_[295];
+ vX_[257] = - vX_[292];
+ vX_[294] = vX_[257] * vX_[973] + vX_[1620] * vX_[622];
+ vX_[1673] = vX_[712] * vX_[294] + vX_[1214] * vX_[959];
+ vX_[1255] = -0.35 * vX_[294];
+ vX_[1596] = vX_[142] * vX_[1214] + vX_[140] * vX_[294];
+ vX_[601] = vX_[1188] * vX_[1255] + vX_[1596] * vX_[612];
+ vX_[338] = - vX_[292];
+ vX_[314] = -0.08 * vX_[1620];
+ vX_[1432] = vX_[1620] * vX_[5] + vX_[338] * vX_[657] + vX_[314] * vX_[660];
+ vX_[1679] = vX_[140] * vX_[1432] + vX_[142] * vX_[295];
+ vX_[1672] = vX_[788] * vX_[1679];
+ vX_[1140] = vX_[152] * vX_[1214] + vX_[142] * vX_[294];
+ vX_[526] = vX_[1188] * vX_[1140] + vX_[1596] * vX_[868];
+ vX_[1157] = (- vX_[1679]) * x_in[32];
+ vX_[291] = vX_[142] * vX_[1432] + vX_[1037] * vX_[295];
+ vX_[1159] = vX_[291] * x_in[32];
+ vX_[1622] = cos(x_in[13]);
+ vX_[983] = vX_[966] * (vX_[967] * vX_[1622] * vX_[969] - vX_[970] * vX_[1620] * vX_[142] - vX_[972] * vX_[1620]) + vX_[978] * (vX_[979] * vX_[1622] * vX_[969] - vX_[981] * vX_[1620] * vX_[142] - vX_[983] * vX_[1620]) + vX_[984] * (-0.33 * vX_[1620] * vX_[969] - 0.33 * vX_[1622] * vX_[142] - 0.35 * vX_[1622]);
+ vX_[981] = ((- vX_[991]) * 100. * vX_[983] * vX_[989]) / vX_[990];
+ vX_[903] = vX_[899] * vX_[1622] * vX_[882] - vX_[901] * vX_[1620] * vX_[142] - vX_[903] * vX_[1620];
+ vX_[901] = -0.33 * vX_[1620] * vX_[882] - 0.33 * vX_[1622] * vX_[142] - 0.35 * vX_[1622];
+ vX_[897] = (vX_[880] * vX_[1620] * vX_[882] + vX_[883] * vX_[1622] * vX_[142]) * x_in[32] + (vX_[880] * vX_[1622] * vX_[142] + vX_[888] * vX_[1620] * vX_[882] + vX_[890] * vX_[1622]) * x_in[31] + (vX_[893] * vX_[1620] * vX_[142] + vX_[895] * vX_[1622] * vX_[882] + vX_[897] * vX_[1620]) * x_in[30] + x_in[18] * vX_[903] - x_in[19] * vX_[901];
+ vX_[937] = vX_[933] * vX_[1622] * vX_[882] - vX_[935] * vX_[1620] * vX_[142] - vX_[937] * vX_[1620];
+ vX_[901] = (vX_[917] * vX_[1620] * vX_[882] + vX_[919] * vX_[1622] * vX_[142]) * x_in[32] + (vX_[917] * vX_[1622] * vX_[142] + vX_[923] * vX_[1620] * vX_[882] + vX_[925] * vX_[1622]) * x_in[31] + (vX_[927] * vX_[1622] * vX_[882] - vX_[929] * vX_[1620] * vX_[142] - vX_[931] * vX_[1620]) * x_in[30] + x_in[20] * vX_[901] - x_in[18] * vX_[937];
+ vX_[937] = (0.33 * vX_[1622] * vX_[882] - 0.33 * vX_[1620] * vX_[142]) * x_in[32] + (0.33 * vX_[1622] * vX_[882] - 0.33 * vX_[1620] * vX_[142] - 0.35 * vX_[1620]) * x_in[31] + x_in[19] * vX_[937] - x_in[20] * vX_[903];
+ vX_[983] = vX_[950] * vX_[981] + -1000. * (vX_[879] * vX_[897] + vX_[916] * vX_[901] + vX_[942] * vX_[937]) * vX_[991] + 5000. * -100. * vX_[983] * vX_[988];
+ vX_[903] = vX_[1011] * vX_[981] + -1000. * (vX_[915] * vX_[897] + vX_[878] * vX_[901] + vX_[1010] * vX_[937]) * vX_[991];
+ vX_[937] = vX_[875] * vX_[981] + -1000. * (vX_[941] * vX_[897] + vX_[1009] * vX_[901] + vX_[913] * vX_[937]) * vX_[991];
+ vX_[901] = vX_[861] * vX_[983] + vX_[1007] * vX_[903] + vX_[1012] * vX_[937];
+ vX_[897] = -0.33 * vX_[1620] * vX_[140] - 0.33 * vX_[292] * vX_[142] - 0.35 * vX_[292];
+ vX_[981] = vX_[1018] * vX_[983] + vX_[992] * vX_[903] + vX_[1005] * vX_[937];
+ vX_[1014] = vX_[954] * vX_[292] * vX_[140] - vX_[940] * vX_[1620] * vX_[142] - vX_[1014] * vX_[1620];
+ vX_[940] = vX_[839] * vX_[901] + vX_[897] * vX_[617] - (vX_[1015] * vX_[981] + vX_[1014] * vX_[993]);
+ vX_[1020] = vX_[848] * vX_[292] * vX_[140] - vX_[843] * vX_[1620] * vX_[142] - vX_[1020] * vX_[1620];
+ vX_[937] = vX_[870] * vX_[983] + vX_[860] * vX_[903] + vX_[1017] * vX_[937];
+ vX_[897] = vX_[1021] * vX_[981] + vX_[1020] * vX_[993] - (vX_[839] * vX_[937] + vX_[897] * vX_[616]);
+ vX_[1255] = vX_[868] * vX_[1255] + vX_[1140] * vX_[612] - vX_[788] * vX_[291];
+ vX_[1000] = 0.110125 * (vX_[1672] - vX_[601]) + 0.025941 * vX_[526] - vX_[836] * vX_[940] - vX_[137] * vX_[897] - (vX_[862] * vX_[937] + vX_[1001] * vX_[292] * vX_[616]) - (vX_[994] * vX_[901] + vX_[1000] * vX_[292] * vX_[617]) - (vX_[999] * vX_[981] + 0.35 * vX_[1620] * vX_[993]) - -0.000881 * vX_[1255];
+ vX_[1001] = 0 - vX_[1000];
+ vX_[903] = vX_[137] * vX_[1620];
+ vX_[983] = vX_[137] * vX_[292];
+ vX_[843] = vX_[903] * vX_[140] + vX_[983] * vX_[142];
+ vX_[848] = vX_[208] * vX_[1620];
+ vX_[954] = vX_[208] * vX_[292];
+ vX_[1622] = vX_[954] * vX_[142];
+ vX_[882] = vX_[292] * vX_[140] - vX_[1620] * vX_[142];
+ vX_[1672] = -0.881 * (vX_[601] - vX_[1672]) + 0.110125 * vX_[526] + 0.417781802643138 * vX_[1157] + -0.00370574557885489 * vX_[1159] + (0.110125 * vX_[1001]) / 0.026181 - (vX_[1006] * vX_[937] + vX_[843] * vX_[616]) - (vX_[1025] * vX_[901] + (vX_[848] * vX_[140] + vX_[1622]) * vX_[617]) - (vX_[1026] * vX_[981] + vX_[882] * vX_[993]) - -0.000881 * (vX_[1188] * vX_[1596] + vX_[1596] * vX_[1188]);
+ vX_[983] = vX_[983] * vX_[140] - vX_[903] * vX_[142];
+ vX_[954] = vX_[954] * vX_[140];
+ vX_[848] = 0.881 * vX_[1255] + -0.000881 * vX_[526] + -0.00370574557885489 * vX_[1157] + 0.880970354035369 * vX_[1159] + (0.000881 * vX_[1001]) / 0.026181 - (vX_[1028] * vX_[937] + vX_[983] * vX_[616]) - (vX_[1030] * vX_[901] + (vX_[954] - vX_[848] * vX_[142]) * vX_[617]) - (vX_[1032] * vX_[981] + ((- vX_[1620]) * vX_[140] - vX_[292] * vX_[142]) * vX_[993]) - 0.110125 * (vX_[868] * vX_[1140] + vX_[1140] * vX_[868]);
+ vX_[1255] = (- vX_[1214]) * x_in[31];
+ vX_[526] = vX_[294] * x_in[31];
+ vX_[903] = (- vX_[295]) * x_in[31];
+ vX_[601] = vX_[1432] * x_in[31];
+ vX_[931] = vX_[1214] * vX_[711];
+ vX_[929] = vX_[294] * vX_[6] - vX_[711] * vX_[1432];
+ vX_[927] = vX_[294] * vX_[711];
+ vX_[925] = vX_[959] * vX_[294] + vX_[294] * vX_[959];
+ vX_[923] = vX_[712] * vX_[1214] + vX_[1214] * vX_[712];
+ vX_[1000] = 0.47422804 * (vX_[1686] - vX_[363]) + 0.081641 * vX_[1673] + 2.1e-05 * vX_[931] + (0.026181 * vX_[1001]) / 0.026181 + vX_[1000] + vX_[1034] * vX_[1672] + vX_[141] * vX_[848] - 0.0825825 * vX_[929] - -0.000102 * vX_[927] - -0.007418 * (vX_[925] - vX_[923]);
+ vX_[919] = 0 - vX_[1000];
+ vX_[1686] = -3.146 * (vX_[363] - vX_[1686]) + 0.47422804 * vX_[1673] + vX_[142] * vX_[1672] + vX_[140] * vX_[848] + vX_[161] * vX_[1255] + vX_[158] * vX_[526] + vX_[187] * vX_[903] + vX_[189] * vX_[601] + (vX_[154] * vX_[919]) / vX_[156] - 0.0825825 * vX_[923];
+ vX_[929] = 3.146 * vX_[929] + 0.0825825 * vX_[1673] + vX_[1037] * vX_[1672] + vX_[142] * vX_[848] + vX_[167] * vX_[1255] + vX_[166] * vX_[526] + vX_[189] * vX_[903] + vX_[188] * vX_[601] + (vX_[164] * vX_[919]) / vX_[156] - 0.47422804 * vX_[925];
+ vX_[848] = -1 * vX_[1226];
+ vX_[1672] = -0.08 * vX_[1620];
+ vX_[363] = vX_[848] * vX_[188] - vX_[1672] * vX_[189];
+ vX_[917] = vX_[848] * vX_[189] - vX_[1672] * vX_[187];
+ vX_[191] = vX_[190] * vX_[848] + vX_[363] * vX_[178] - (vX_[191] * vX_[1672] + vX_[917] * vX_[176]);
+ vX_[190] = vX_[166] * vX_[848] - vX_[158] * vX_[1672];
+ vX_[935] = vX_[167] * vX_[848] - vX_[161] * vX_[1672];
+ vX_[933] = - vX_[935];
+ vX_[895] = vX_[160] * vX_[190] + vX_[257] * vX_[237] + vX_[139] * vX_[933] + vX_[1620] * vX_[239];
+ vX_[893] = - 4.027 * vX_[848];
+ vX_[155] = 0 - vX_[155] * vX_[848] - (vX_[179] * vX_[848] + vX_[893] * vX_[178]) - vX_[191];
+ vX_[848] = vX_[163] * vX_[1672] + vX_[179] * vX_[1672] + vX_[893] * vX_[176] - vX_[153] * vX_[848];
+ vX_[196] = vX_[159] * vX_[155] + vX_[292] * vX_[196] + vX_[139] * vX_[848] + vX_[1620] * vX_[180];
+ vX_[179] = 4.027 * vX_[1672];
+ vX_[1672] = vX_[181] * vX_[1672] + vX_[184] * vX_[1672] + vX_[179] * vX_[176] - vX_[191];
+ vX_[848] = vX_[159] * vX_[848] + vX_[292] * vX_[180] + vX_[139] * vX_[1672] + vX_[1620] * vX_[193];
+ vX_[193] = vX_[197] * vX_[292] + vX_[196] * vX_[159] + vX_[194] * vX_[1620] + vX_[848] * vX_[139];
+ vX_[180] = vX_[191] + vX_[193];
+ vX_[184] = (vX_[895] - vX_[506] * vX_[180]) / vX_[203];
+ vX_[181] = vX_[191] - (vX_[240] * vX_[184] + vX_[895] * vX_[506]);
+ vX_[848] = vX_[194] * vX_[257] + vX_[848] * vX_[160] + vX_[197] * vX_[1620] + vX_[196] * vX_[139];
+ vX_[184] = vX_[238] * vX_[257] + -1 * 2. * vX_[935] * vX_[160] + vX_[556] * vX_[1620] + -1 * 2. * vX_[190] * vX_[139] + vX_[139] * vX_[190] + vX_[1620] * vX_[237] + vX_[159] * vX_[933] + vX_[292] * vX_[239] - (vX_[198] * vX_[184] + vX_[848] * vX_[506]);
+ vX_[933] = - vX_[179];
+ vX_[935] = vX_[139] * vX_[933] + vX_[1620] * vX_[214] + vX_[160] * vX_[893] + vX_[257] * vX_[215];
+ vX_[190] = (vX_[935] - vX_[218] * vX_[180]) / vX_[203];
+ vX_[556] = -(vX_[240] * vX_[190] + vX_[895] * vX_[218]);
+ vX_[179] = -1 * (vX_[917] + vX_[179]);
+ vX_[363] = -1 * (vX_[363] + vX_[893]);
+ vX_[933] = vX_[159] * vX_[933] + vX_[292] * vX_[214] + vX_[139] * vX_[893] + vX_[1620] * vX_[215];
+ vX_[893] = vX_[292] * vX_[166] + vX_[1620] * vX_[167];
+ vX_[215] = vX_[292] * vX_[158] + vX_[1620] * vX_[161];
+ vX_[214] = vX_[199] * vX_[1620] + vX_[893] * vX_[139] + vX_[200] * vX_[257] + vX_[215] * vX_[160];
+ vX_[917] = (vX_[214] - vX_[204] * vX_[180]) / vX_[203];
+ vX_[238] = vX_[213] * vX_[257] + vX_[179] * vX_[160] + vX_[243] * vX_[1620] + vX_[363] * vX_[139] + vX_[933] - (vX_[240] * vX_[917] + vX_[895] * vX_[204]);
+ vX_[239] = (- vX_[1596]) * x_in[32];
+ vX_[237] = vX_[208] * vX_[1620];
+ vX_[1020] = vX_[1015] * vX_[937] + vX_[1014] * vX_[616] - (vX_[1021] * vX_[901] + vX_[1020] * vX_[617]);
+ vX_[291] = vX_[1188] * vX_[291] + vX_[1596] * vX_[3] - (vX_[868] * vX_[1679] + vX_[1140] * vX_[1104]);
+ vX_[1596] = vX_[1596] * vX_[788];
+ vX_[882] = 0.026409 * vX_[239] - (vX_[1006] * vX_[940] + vX_[843] * vX_[995]) - (vX_[1024] * vX_[897] + (vX_[237] * vX_[140] + vX_[1622]) * vX_[1004]) - (vX_[1026] * vX_[1020] + vX_[882] * vX_[708]) - (vX_[1045] * vX_[937] + ((vX_[1039] * vX_[292] - vX_[1040] * vX_[1620]) * vX_[140] + (vX_[1042] * vX_[1620] + vX_[1043] * vX_[292]) * vX_[142]) * vX_[616]) - (vX_[1052] * vX_[901] + ((vX_[1046] * vX_[1620] - vX_[1047] * vX_[292]) * vX_[140] + (vX_[1049] * vX_[1620] + vX_[1050] * vX_[292]) * vX_[142]) * vX_[617]) - (vX_[1057] * vX_[981] + (vX_[1053] * vX_[1620] * vX_[140] + vX_[1055] * vX_[292] * vX_[142]) * vX_[993]) - 0.110125 * vX_[291] - 0.025713 * vX_[1596];
+ vX_[1622] = vX_[1140] * vX_[788];
+ vX_[1140] = vX_[1140] * x_in[32];
+ vX_[1020] = -0.000227999999999999 * vX_[1622] + -0.000881 * vX_[291] + 0.000468 * vX_[1140] - (vX_[1028] * vX_[940] + vX_[983] * vX_[995]) - (vX_[1029] * vX_[897] + (vX_[954] - vX_[237] * vX_[142]) * vX_[1004]) - (vX_[1060] * vX_[1020] + ((- vX_[1620]) * vX_[140] - vX_[292] * vX_[142]) * vX_[708]) - (vX_[1067] * vX_[937] + ((vX_[1061] * vX_[1620] + vX_[1062] * vX_[292]) * vX_[140] + (vX_[1064] * vX_[292] + vX_[1065] * vX_[1620]) * vX_[142]) * vX_[616]) - (vX_[1074] * vX_[901] + ((vX_[1068] * vX_[1620] + vX_[1069] * vX_[292]) * vX_[140] + (vX_[1071] * vX_[292] - vX_[1072] * vX_[1620]) * vX_[142]) * vX_[617]) - (vX_[1078] * vX_[981] + (vX_[1053] * vX_[292] * vX_[140] - vX_[1076] * vX_[1620] * vX_[142]) * vX_[993]);
+ vX_[1140] = 0.110125 * vX_[1596] + 0.881 * vX_[291] + -0.000881 * vX_[1622] + -0.110125 * vX_[239] + -0.000881 * vX_[1140] - vX_[840] * vX_[937] - vX_[137] * vX_[901];
+ vX_[1432] = vX_[712] * vX_[1432] + vX_[1214] * vX_[709] - (vX_[959] * vX_[295] + vX_[294] * vX_[722]);
+ vX_[923] = -0.007418 * vX_[927] + -0.000102 * (0 - vX_[923]) + vX_[142] * vX_[882] + vX_[140] * vX_[1020] + -0.35 * vX_[1140] + vX_[183] * vX_[1255] + vX_[175] * vX_[526] + vX_[161] * vX_[903] + vX_[167] * vX_[601] + (2.1e-05 * vX_[919]) / vX_[156] - 0.47422804 * vX_[1432] - 0.084376 * vX_[931] - 2.1e-05 * vX_[1673];
+ vX_[1020] = 0.002735 * vX_[927] + 0.0825825 * vX_[1432] + -0.000102 * vX_[1673] + vX_[152] * vX_[882] + vX_[142] * vX_[1020] + vX_[175] * vX_[1255] + vX_[182] * vX_[526] + vX_[158] * vX_[903] + vX_[166] * vX_[601] + (-0.000102 * vX_[919]) / vX_[156] - -0.007418 * vX_[931] - 2.1e-05 * (0 - vX_[925]);
+ vX_[1432] = 0.47422804 * vX_[931] + 3.146 * vX_[1432] + 0.0825825 * vX_[927] + vX_[1140] + vX_[153] * vX_[1255] + vX_[163] * vX_[526];
+ vX_[1140] = vX_[139] * vX_[923] + vX_[1620] * vX_[1650] + vX_[159] * vX_[1020] + vX_[292] * vX_[8] + -0.08 * vX_[1432];
+ vX_[927] = 0 - vX_[1140];
+ vX_[1000] = vX_[790] * vX_[1686] + vX_[314] * vX_[701] + vX_[177] * vX_[929] + vX_[1226] * vX_[1442] + -1 * (vX_[1000] + (vX_[156] * vX_[919]) / vX_[156]) + vX_[181] * vX_[996] + vX_[184] * vX_[1092] + vX_[556] * vX_[958] + vX_[238] * vX_[1542] + (vX_[240] * vX_[927] + vX_[895] * vX_[1195] - vX_[1337] * vX_[180]) / vX_[203];
+ vX_[193] = vX_[1672] + vX_[155] + vX_[191] - vX_[193] - (vX_[198] * (vX_[848] - vX_[515] * vX_[180]) / vX_[203] + vX_[848] * vX_[515]);
+ vX_[933] = 0 - vX_[933] - (vX_[198] * vX_[190] + vX_[848] * vX_[218]);
+ vX_[1672] = vX_[1620] * vX_[158] + vX_[257] * vX_[161];
+ vX_[155] = vX_[1620] * vX_[166] + vX_[257] * vX_[167];
+ vX_[191] = vX_[162] * vX_[257] + vX_[1672] * vX_[160] + vX_[168] * vX_[1620] + vX_[155] * vX_[139] - (vX_[198] * vX_[917] + vX_[848] * vX_[204]);
+ vX_[1020] = vX_[160] * vX_[923] + vX_[257] * vX_[1650] + vX_[139] * vX_[1020] + vX_[1620] * vX_[8] + vX_[184] * vX_[996] + vX_[193] * vX_[1092] + vX_[933] * vX_[958] + vX_[191] * vX_[1542] + (vX_[198] * vX_[927] + vX_[848] * vX_[1195] - vX_[589] * vX_[180]) / vX_[203];
+ vX_[215] = vX_[199] * vX_[292] + vX_[893] * vX_[159] + vX_[200] * vX_[1620] + vX_[215] * vX_[139];
+ vX_[893] = (vX_[215] - vX_[226] * vX_[180]) / vX_[203];
+ vX_[363] = vX_[213] * vX_[1620] + vX_[179] * vX_[139] + vX_[243] * vX_[292] + vX_[363] * vX_[159] - vX_[935] - (vX_[240] * vX_[893] + vX_[895] * vX_[226]);
+ vX_[155] = vX_[162] * vX_[1620] + vX_[1672] * vX_[139] + vX_[168] * vX_[292] + vX_[155] * vX_[159] - (vX_[198] * vX_[893] + vX_[848] * vX_[226]);
+ vX_[1672] = -(vX_[217] * vX_[893] + vX_[935] * vX_[226]);
+ vX_[221] = vX_[292] * vX_[189] + vX_[1620] * vX_[221];
+ vX_[223] = vX_[292] * vX_[223] + vX_[1620] * vX_[189];
+ vX_[168] = vX_[222] * vX_[257] + vX_[221] * vX_[160] + vX_[224] * vX_[1620] + vX_[223] * vX_[139] - (vX_[201] * vX_[893] + vX_[214] * vX_[226]);
+ vX_[162] = vX_[139] * vX_[1686] + vX_[1620] * vX_[701] + vX_[159] * vX_[929] + vX_[292] * vX_[1442] + vX_[363] * vX_[996] + vX_[155] * vX_[1092] + vX_[1672] * vX_[958] + vX_[168] * vX_[1542] + (vX_[225] * vX_[927] + vX_[215] * vX_[1195] - vX_[1448] * vX_[180]) / vX_[203];
+ vX_[179] = -(vX_[217] * vX_[190] + vX_[935] * vX_[218]);
+ vX_[190] = -(vX_[201] * vX_[190] + vX_[214] * vX_[218]);
+ vX_[1432] = -1 * vX_[1432] + vX_[556] * vX_[996] + vX_[933] * vX_[1092] + vX_[179] * vX_[958] + vX_[190] * vX_[1542] + (vX_[217] * vX_[927] + vX_[935] * vX_[1195] - vX_[1355] * vX_[180]) / vX_[203];
+ vX_[223] = vX_[224] * vX_[292] + vX_[223] * vX_[159] + vX_[222] * vX_[1620] + vX_[221] * vX_[139];
+ vX_[917] = 0 - vX_[223] - (vX_[201] * vX_[917] + vX_[214] * vX_[204]);
+ vX_[929] = vX_[1079] * vX_[1686] + vX_[338] * vX_[701] + vX_[139] * vX_[929] + vX_[1620] * vX_[1442] + vX_[238] * vX_[996] + vX_[191] * vX_[1092] + vX_[190] * vX_[958] + vX_[917] * vX_[1542] + (vX_[201] * vX_[927] + vX_[214] * vX_[1195] - vX_[1648] * vX_[180]) / vX_[203];
+ vX_[223] = vX_[223] - (vX_[225] * vX_[893] + vX_[215] * vX_[226]);
+ vX_[893] = vX_[232] * vX_[223] - vX_[212] * vX_[168];
+ vX_[1686] = vX_[232] * vX_[168] - vX_[212] * vX_[917];
+ vX_[1442] = vX_[207] * vX_[917] - vX_[232] * vX_[190];
+ vX_[701] = vX_[207] * vX_[190] - vX_[232] * vX_[179];
+ vX_[221] = vX_[1442] * vX_[207] - vX_[701] * vX_[232];
+ vX_[181] = 2. * vX_[363] * vX_[232] + vX_[181] + vX_[893] * vX_[232] - 2. * vX_[238] * vX_[212] - vX_[1686] * vX_[212] - vX_[221];
+ vX_[224] = vX_[212] * vX_[179] - vX_[207] * vX_[1672];
+ vX_[222] = vX_[212] * vX_[1672] - vX_[207] * vX_[223];
+ vX_[193] = 2. * vX_[933] * vX_[212] + vX_[193] + vX_[224] * vX_[212] - 2. * vX_[155] * vX_[207] - vX_[222] * vX_[207] - vX_[221];
+ vX_[243] = vX_[212] * vX_[190];
+ vX_[213] = vX_[207] * vX_[168];
+ vX_[200] = vX_[243] - vX_[213];
+ vX_[184] = vX_[556] * vX_[212] + vX_[184] + vX_[155] * vX_[232] + vX_[222] * vX_[232] - vX_[191] * vX_[212] - vX_[363] * vX_[207] - vX_[200] * vX_[212];
+ vX_[199] = vX_[138] * vX_[184];
+ vX_[923] = (vX_[209] * vX_[193] + vX_[199]) * vX_[209] + (vX_[209] * vX_[184] + vX_[138] * vX_[181]) * vX_[138];
+ vX_[184] = vX_[138] * vX_[193] + vX_[208] * vX_[184];
+ vX_[199] = vX_[199] + vX_[208] * vX_[181];
+ vX_[8] = vX_[184] * vX_[138] + vX_[199] * vX_[208];
+ vX_[193] = vX_[181] + vX_[193] + vX_[221] - vX_[923] - vX_[8];
+ vX_[1140] = (vX_[248] * vX_[1432] + vX_[206] * vX_[929] + -1 * (vX_[1140] + (vX_[203] * vX_[927] + vX_[180] * vX_[1195] - vX_[872] * vX_[180]) / vX_[203]) - vX_[1518] * vX_[193]) / vX_[583];
+ vX_[181] = vX_[232] * vX_[1672];
+ vX_[243] = vX_[181] - vX_[243];
+ vX_[1650] = vX_[556] * vX_[232] + vX_[243] * vX_[232] - vX_[238] * vX_[207] - vX_[1686] * vX_[207];
+ vX_[931] = vX_[191] * vX_[207] + vX_[200] * vX_[207] - vX_[933] * vX_[232] - vX_[224] * vX_[232];
+ vX_[882] = vX_[138] * vX_[1650] + vX_[208] * vX_[931];
+ vX_[925] = (vX_[882] - vX_[1567] * vX_[193]) / vX_[583];
+ vX_[923] = vX_[221] + vX_[923] - (vX_[1566] * vX_[925] + vX_[882] * vX_[1567]);
+ vX_[1673] = (vX_[138] * vX_[1000] + vX_[209] * vX_[1020] + vX_[210] * vX_[1432] + vX_[1570] * vX_[929] - (vX_[1566] * vX_[1140] + vX_[882] * vX_[1518]) - vX_[1677] * vX_[923]) / vX_[580];
+ vX_[199] = vX_[184] * vX_[209] + vX_[199] * vX_[138];
+ vX_[931] = 0 - vX_[138] * vX_[931] - vX_[209] * vX_[1650];
+ vX_[1650] = vX_[199] - (vX_[490] * vX_[925] + vX_[931] * vX_[1567]);
+ vX_[184] = (vX_[931] - vX_[584] * vX_[193]) / vX_[583];
+ vX_[199] = (vX_[199] - (vX_[1566] * vX_[184] + vX_[882] * vX_[584]) - vX_[1565] * vX_[923]) / vX_[580];
+ vX_[8] = vX_[221] + vX_[8] - (vX_[1568] * vX_[199] + vX_[1650] * vX_[1565]) - (vX_[490] * vX_[184] + vX_[931] * vX_[584]);
+ vX_[1020] = (vX_[208] * vX_[1000] + vX_[138] * vX_[1020] + 0.207 * vX_[162] + vX_[211] * vX_[1432] + vX_[998] * vX_[929] - (vX_[1568] * vX_[1673] + vX_[1650] * vX_[1677]) - (vX_[490] * vX_[1140] + vX_[931] * vX_[1518]) - vX_[1201] * vX_[8]) / vX_[582];
+ vX_[224] = vX_[224] + vX_[933];
+ vX_[181] = vX_[213] - vX_[181];
+ vX_[243] = vX_[556] + vX_[243] - vX_[181];
+ vX_[556] = vX_[209] * vX_[224] + vX_[138] * vX_[243];
+ vX_[200] = vX_[191] + vX_[200] - vX_[181];
+ vX_[1686] = vX_[1686] + vX_[238];
+ vX_[238] = vX_[209] * vX_[200] + vX_[138] * vX_[1686];
+ vX_[191] = vX_[556] * vX_[138] + vX_[238] * vX_[209] + vX_[181];
+ vX_[893] = vX_[893] + vX_[363];
+ vX_[701] = -1 * (vX_[701] + vX_[893]);
+ vX_[222] = vX_[222] + vX_[155];
+ vX_[1442] = -1 * (vX_[1442] + vX_[222]);
+ vX_[893] = - vX_[893];
+ vX_[155] = vX_[138] * vX_[893] + vX_[208] * vX_[222];
+ vX_[363] = vX_[701] * vX_[138] + vX_[1442] * vX_[209] - vX_[155];
+ vX_[213] = vX_[191] - (vX_[1611] * vX_[925] + vX_[363] * vX_[1567]);
+ vX_[1686] = vX_[138] * vX_[200] + vX_[208] * vX_[1686];
+ vX_[243] = vX_[138] * vX_[224] + vX_[208] * vX_[243];
+ vX_[224] = vX_[1686] * vX_[209] + vX_[243] * vX_[138];
+ vX_[200] = vX_[224] - (vX_[1587] * vX_[199] + vX_[213] * vX_[1565]) - (vX_[1611] * vX_[184] + vX_[363] * vX_[584]);
+ vX_[933] = vX_[155] - (vX_[1630] * vX_[925] + vX_[181] * vX_[1567]);
+ vX_[893] = vX_[209] * vX_[893] + vX_[138] * vX_[222];
+ vX_[222] = - vX_[893];
+ vX_[1000] = vX_[222] - (vX_[1610] * vX_[199] + vX_[933] * vX_[1565]) - (vX_[1630] * vX_[184] + vX_[181] * vX_[584]);
+ vX_[179] = vX_[179] - vX_[223];
+ vX_[917] = vX_[917] - vX_[223];
+ vX_[221] = vX_[138] * vX_[190];
+ vX_[294] = (vX_[209] * vX_[917] + vX_[221]) * vX_[209] + (vX_[209] * vX_[190] + vX_[138] * vX_[179]) * vX_[138];
+ vX_[190] = vX_[138] * vX_[917] + vX_[208] * vX_[190];
+ vX_[221] = vX_[221] + vX_[208] * vX_[179];
+ vX_[295] = vX_[190] * vX_[138] + vX_[221] * vX_[208];
+ vX_[1214] = (vX_[181] - vX_[1593] * vX_[193]) / vX_[583];
+ vX_[155] = (vX_[155] - (vX_[1566] * vX_[1214] + vX_[882] * vX_[1593]) - vX_[1619] * vX_[923]) / vX_[580];
+ vX_[222] = (vX_[222] - (vX_[1568] * vX_[155] + vX_[1650] * vX_[1619]) - (vX_[490] * vX_[1214] + vX_[931] * vX_[1593]) - vX_[1628] * vX_[8]) / vX_[582];
+ vX_[917] = vX_[179] + vX_[917] + vX_[223] - vX_[294] - vX_[295] - (vX_[1610] * vX_[155] + vX_[933] * vX_[1619]) - (vX_[1630] * vX_[1214] + vX_[181] * vX_[1593]) - (vX_[1627] * vX_[222] + vX_[1000] * vX_[1628]);
+ vX_[162] = (-1 * vX_[162] - (vX_[1610] * vX_[1673] + vX_[933] * vX_[1677]) - (vX_[1630] * vX_[1140] + vX_[181] * vX_[1518]) - (vX_[1627] * vX_[1020] + vX_[1000] * vX_[1201]) - vX_[1110] * vX_[917]) / vX_[1657];
+ vX_[1672] = - vX_[1672];
+ vX_[179] = vX_[138] * vX_[1672] + vX_[208] * vX_[168];
+ vX_[1622] = vX_[179] - (vX_[1587] * vX_[155] + vX_[213] * vX_[1619]) - (vX_[1611] * vX_[1214] + vX_[363] * vX_[1593]) - (vX_[1575] * vX_[222] + vX_[200] * vX_[1628]);
+ vX_[1596] = (vX_[363] - vX_[1612] * vX_[193]) / vX_[583];
+ vX_[191] = (vX_[191] - (vX_[1566] * vX_[1596] + vX_[882] * vX_[1612]) - vX_[1613] * vX_[923]) / vX_[580];
+ vX_[224] = (vX_[224] - (vX_[1568] * vX_[191] + vX_[1650] * vX_[1613]) - (vX_[490] * vX_[1596] + vX_[931] * vX_[1612]) - vX_[1614] * vX_[8]) / vX_[582];
+ vX_[179] = (vX_[179] - (vX_[1610] * vX_[191] + vX_[933] * vX_[1613]) - (vX_[1630] * vX_[1596] + vX_[181] * vX_[1612]) - (vX_[1627] * vX_[224] + vX_[1000] * vX_[1614]) - vX_[1599] * vX_[917]) / vX_[1657];
+ vX_[294] = vX_[223] + vX_[294] - (vX_[1587] * vX_[191] + vX_[213] * vX_[1613]) - (vX_[1611] * vX_[1596] + vX_[363] * vX_[1612]) - (vX_[1575] * vX_[224] + vX_[200] * vX_[1614]) - (vX_[1629] * vX_[179] + vX_[1622] * vX_[1599]);
+ vX_[291] = (vX_[1615] * vX_[1432] + vX_[1616] * vX_[929] - (vX_[1587] * vX_[1673] + vX_[213] * vX_[1677]) - (vX_[1611] * vX_[1140] + vX_[363] * vX_[1518]) - (vX_[1575] * vX_[1020] + vX_[200] * vX_[1201]) - (vX_[1629] * vX_[162] + vX_[1622] * vX_[1110]) - vX_[1691] * vX_[294]) / vX_[1654];
+ vX_[238] = vX_[238] * vX_[138] + vX_[556] * vX_[208];
+ vX_[893] = vX_[701] * vX_[208] + vX_[1442] * vX_[138] + vX_[893];
+ vX_[1442] = vX_[238] - (vX_[1626] * vX_[925] + vX_[893] * vX_[1567]);
+ vX_[243] = vX_[243] * vX_[208] + vX_[1686] * vX_[138] + vX_[181];
+ vX_[1686] = vX_[243] - (vX_[748] * vX_[199] + vX_[1442] * vX_[1565]) - (vX_[1626] * vX_[184] + vX_[893] * vX_[584]);
+ vX_[1672] = 0 - vX_[138] * vX_[168] - vX_[209] * vX_[1672];
+ vX_[168] = vX_[1672] - (vX_[748] * vX_[155] + vX_[1442] * vX_[1619]) - (vX_[1626] * vX_[1214] + vX_[893] * vX_[1593]) - (vX_[484] * vX_[222] + vX_[1686] * vX_[1628]);
+ vX_[221] = vX_[190] * vX_[209] + vX_[221] * vX_[138];
+ vX_[190] = vX_[221] - (vX_[748] * vX_[191] + vX_[1442] * vX_[1613]) - (vX_[1626] * vX_[1596] + vX_[893] * vX_[1612]) - (vX_[484] * vX_[224] + vX_[1686] * vX_[1614]) - (vX_[1664] * vX_[179] + vX_[168] * vX_[1599]);
+ vX_[193] = (vX_[893] - vX_[1658] * vX_[193]) / vX_[583];
+ vX_[238] = (vX_[238] - (vX_[1566] * vX_[193] + vX_[882] * vX_[1658]) - vX_[1659] * vX_[923]) / vX_[580];
+ vX_[243] = (vX_[243] - (vX_[1568] * vX_[238] + vX_[1650] * vX_[1659]) - (vX_[490] * vX_[193] + vX_[931] * vX_[1658]) - vX_[1660] * vX_[8]) / vX_[582];
+ vX_[1672] = (vX_[1672] - (vX_[1610] * vX_[238] + vX_[933] * vX_[1659]) - (vX_[1630] * vX_[193] + vX_[181] * vX_[1658]) - (vX_[1627] * vX_[243] + vX_[1000] * vX_[1660]) - vX_[1665] * vX_[917]) / vX_[1657];
+ vX_[221] = (vX_[221] - (vX_[1587] * vX_[238] + vX_[213] * vX_[1659]) - (vX_[1611] * vX_[193] + vX_[363] * vX_[1658]) - (vX_[1575] * vX_[243] + vX_[200] * vX_[1660]) - (vX_[1629] * vX_[1672] + vX_[1622] * vX_[1665]) - vX_[1666] * vX_[294]) / vX_[1654];
+ vX_[190] = (vX_[208] * vX_[1432] + vX_[1668] * vX_[929] - (vX_[748] * vX_[1673] + vX_[1442] * vX_[1677]) - (vX_[1626] * vX_[1140] + vX_[893] * vX_[1518]) - (vX_[484] * vX_[1020] + vX_[1686] * vX_[1201]) - (vX_[1664] * vX_[162] + vX_[168] * vX_[1110]) - (vX_[1584] * vX_[291] + vX_[190] * vX_[1691]) - vX_[471] * (vX_[223] + vX_[295] - (vX_[748] * vX_[238] + vX_[1442] * vX_[1659]) - (vX_[1626] * vX_[193] + vX_[893] * vX_[1658]) - (vX_[484] * vX_[243] + vX_[1686] * vX_[1660]) - (vX_[1664] * vX_[1672] + vX_[168] * vX_[1665]) - (vX_[1584] * vX_[221] + vX_[190] * vX_[1666]))) / vX_[1656];
+ jac[491] = - vX_[190];
+ vX_[221] = vX_[291] - (vX_[1666] * vX_[190] + vX_[221] * vX_[471]);
+ jac[490] = - vX_[221];
+ vX_[1672] = vX_[162] - (vX_[1665] * vX_[190] + vX_[1672] * vX_[471]) - (vX_[1599] * vX_[221] + vX_[179] * vX_[1353]);
+ jac[489] = - vX_[1672];
+ vX_[243] = vX_[1020] - (vX_[1614] * vX_[221] + vX_[224] * vX_[1353]) - (vX_[1628] * vX_[1672] + vX_[222] * vX_[546]) - (vX_[1660] * vX_[190] + vX_[243] * vX_[471]);
+ jac[488] = - vX_[243];
+ vX_[238] = vX_[1673] - (vX_[1619] * vX_[1672] + vX_[155] * vX_[546]) - (vX_[1565] * vX_[243] + vX_[199] * vX_[536]) - (vX_[1613] * vX_[221] + vX_[191] * vX_[1353]) - (vX_[1659] * vX_[190] + vX_[238] * vX_[471]);
+ jac[486] = vX_[584] * vX_[243] + vX_[184] * vX_[536] + vX_[1567] * vX_[238] + vX_[925] * vX_[1338] + vX_[1593] * vX_[1672] + vX_[1214] * vX_[546] + vX_[1612] * vX_[221] + vX_[1596] * vX_[1353] + vX_[1658] * vX_[190] + vX_[193] * vX_[471] - vX_[1140];
+ jac[487] = - vX_[238];
+ vX_[238] = -1 * jac[486];
+ vX_[243] = vX_[450] * jac[488] + vX_[370] * jac[487];
+ vX_[1672] = vX_[370] * jac[488] + vX_[451] * jac[487];
+ vX_[221] = -1 * jac[489];
+ vX_[190] = 0.207 * jac[488] + vX_[221];
+ vX_[193] = vX_[1481] * jac[488] + vX_[1572] * jac[487] + vX_[448] * jac[486] + vX_[1670] * jac[491] + vX_[1618] * jac[490];
+ jac[492] = (0 - vX_[445] * vX_[238] - vX_[482] * vX_[243] - vX_[440] * vX_[1672] - vX_[467] * vX_[190] - vX_[459] * (vX_[453] * jac[488] + vX_[452] * jac[487] + vX_[1573] * jac[486] + vX_[450] * jac[491] + vX_[1617] * jac[490]) - vX_[443] * vX_[193]) / vX_[445];
+ vX_[1596] = -1 * vX_[243];
+ vX_[1214] = vX_[238] + jac[492];
+ vX_[184] = vX_[371] * vX_[190] + vX_[1562] * vX_[193] + vX_[1275] * vX_[243];
+ vX_[193] = vX_[398] * vX_[190] + vX_[371] * vX_[193] + vX_[419] * vX_[243];
+ jac[493] = (0 - vX_[395] * vX_[1596] - vX_[402] * (vX_[371] * vX_[1214] + vX_[399] * vX_[1672]) - vX_[383] * (vX_[398] * vX_[1214] + vX_[371] * vX_[1672]) - vX_[393] * vX_[184] - vX_[406] * vX_[193]) / vX_[395];
+ vX_[1596] = vX_[1596] + jac[493];
+ jac[494] = (0 - 0.1104774 * (vX_[372] * vX_[184] + vX_[1520] * vX_[193] + vX_[1517] * vX_[1596]) - -0.0004405 * (vX_[374] * vX_[184] + vX_[372] * vX_[193] + vX_[377] * vX_[1596]) - 0.026181 * vX_[1596]) / 0.026181;
+ vX_[1596] = vX_[328] * jac[488] + vX_[249] * jac[487];
+ vX_[193] = vX_[330] * jac[488] + vX_[328] * jac[487];
+ vX_[184] = 0.207 * jac[488] + jac[489];
+ vX_[1214] = vX_[1318] * jac[488] + vX_[1571] * jac[487] + vX_[327] * jac[486] + vX_[1669] * jac[491] + vX_[328] * jac[490];
+ jac[495] = (0 - vX_[324] * jac[486] - vX_[360] * vX_[1596] - vX_[319] * vX_[193] - vX_[345] * vX_[184] - vX_[337] * (vX_[331] * jac[488] + vX_[329] * jac[487] + vX_[368] * jac[486] + vX_[328] * jac[491] + vX_[249] * jac[490]) - vX_[322] * vX_[1214]) / vX_[324];
+ vX_[1672] = jac[486] + jac[495];
+ vX_[190] = vX_[1229] * vX_[184] + vX_[1319] * vX_[1214] + vX_[1274] * vX_[1596];
+ vX_[1214] = vX_[698] * vX_[184] + vX_[250] * vX_[1214] + vX_[299] * vX_[1596];
+ jac[496] = (0 - vX_[274] * vX_[1596] - vX_[281] * (vX_[297] * vX_[1672] + vX_[278] * vX_[193]) - vX_[262] * (vX_[278] * vX_[1672] + vX_[250] * vX_[193]) - vX_[272] * vX_[190] - vX_[285] * vX_[1214]) / vX_[274];
+ vX_[1596] = vX_[1596] + jac[496];
+ jac[497] = (0 - 0.1104774 * (vX_[251] * vX_[190] + vX_[1276] * vX_[1214] + vX_[1252] * vX_[1596]) - -0.0004405 * (vX_[253] * vX_[190] + vX_[251] * vX_[1214] + vX_[256] * vX_[1596]) - 0.026181 * vX_[1596]) / 0.026181;
+ vX_[1596] = vX_[208] * jac[488] + vX_[138] * jac[487];
+ vX_[1214] = vX_[208] * vX_[542] + vX_[138] * vX_[1605] + vX_[996];
+ vX_[190] = vX_[138] * jac[488] + vX_[209] * jac[487];
+ vX_[1672] = vX_[138] * vX_[542] + vX_[209] * vX_[1605] + vX_[1092];
+ vX_[221] = 0.207 * jac[488] + vX_[221];
+ vX_[1374] = 0.207 * vX_[542] + vX_[1374];
+ vX_[193] = vX_[211] * vX_[542] + vX_[210] * vX_[1605] + vX_[248] * vX_[624] + vX_[208] * vX_[1632] + vX_[1615] * vX_[544] + vX_[958];
+ vX_[184] = vX_[998] * jac[488] + vX_[1570] * jac[487] + vX_[206] * jac[486] + vX_[1668] * jac[491] + vX_[1616] * jac[490];
+ vX_[243] = vX_[998] * vX_[542] + vX_[1570] * vX_[1605] + vX_[206] * vX_[624] + vX_[1668] * vX_[1632] + vX_[1616] * vX_[544] + vX_[1542];
+ vX_[925] = (vX_[1195] - vX_[203] * vX_[485] - vX_[240] * vX_[1214] - vX_[198] * vX_[1672] - vX_[225] * vX_[1374] - vX_[217] * vX_[193] - vX_[201] * vX_[243]) / vX_[203];
+ jac[498] = (vX_[927] - (vX_[203] * vX_[238] + vX_[180] * vX_[485]) - (vX_[240] * vX_[1596] + vX_[895] * vX_[1214]) - (vX_[198] * vX_[190] + vX_[848] * vX_[1672]) - (vX_[225] * vX_[221] + vX_[215] * vX_[1374]) - (vX_[217] * (vX_[211] * jac[488] + vX_[210] * jac[487] + vX_[248] * jac[486] + vX_[208] * jac[491] + vX_[1615] * jac[490]) + vX_[935] * vX_[193]) - (vX_[201] * vX_[184] + vX_[214] * vX_[243]) - vX_[925] * vX_[180]) / vX_[203];
+ vX_[215] = -1 * vX_[1596];
+ vX_[238] = vX_[238] + jac[498];
+ vX_[927] = vX_[485] + vX_[925];
+ vX_[903] = vX_[139] * vX_[221] + vX_[1620] * vX_[1374] + vX_[1079] * vX_[184] + vX_[338] * vX_[243] + vX_[790] * vX_[1596] + vX_[314] * vX_[1214] + vX_[903];
+ vX_[184] = vX_[159] * vX_[221] + vX_[292] * vX_[1374] + vX_[139] * vX_[184] + vX_[1620] * vX_[243] + vX_[177] * vX_[1596] + vX_[1226] * vX_[1214] + vX_[601];
+ jac[499] = (vX_[919] - vX_[156] * vX_[215] - 2.1e-05 * (vX_[139] * vX_[238] + vX_[1620] * vX_[927] + vX_[160] * vX_[190] + vX_[257] * vX_[1672] + vX_[1255]) - -0.000102 * (vX_[159] * vX_[238] + vX_[292] * vX_[927] + vX_[139] * vX_[190] + vX_[1620] * vX_[1672] + vX_[526]) - vX_[154] * vX_[903] - vX_[164] * vX_[184]) / vX_[156];
+ vX_[215] = vX_[215] + jac[499];
+ jac[500] = (vX_[1001] - 0.110125 * (vX_[142] * vX_[903] + vX_[1037] * vX_[184] + vX_[1034] * vX_[215] + vX_[1157]) - 0.000881 * (vX_[140] * vX_[903] + vX_[142] * vX_[184] + vX_[141] * vX_[215] + vX_[1159]) - 0.026181 * vX_[215]) / 0.026181;
+ vX_[215] = vX_[96] * jac[488] + vX_[26] * jac[487];
+ vX_[184] = vX_[98] * jac[488] + vX_[96] * jac[487];
+ vX_[903] = 0.207 * jac[488] + jac[489];
+ vX_[1001] = vX_[834] * jac[488] + vX_[1569] * jac[487] + vX_[95] * jac[486] + vX_[1667] * jac[491] + vX_[96] * jac[490];
+ jac[501] = (0 - vX_[92] * jac[486] - vX_[128] * vX_[215] - vX_[87] * vX_[184] - vX_[113] * vX_[903] - vX_[105] * (vX_[99] * jac[488] + vX_[97] * jac[487] + vX_[136] * jac[486] + vX_[96] * jac[491] + vX_[26] * jac[490]) - vX_[90] * vX_[1001]) / vX_[92];
+ vX_[1159] = jac[486] + jac[501];
+ vX_[1157] = vX_[746] * vX_[903] + vX_[835] * vX_[1001] + vX_[789] * vX_[215];
+ vX_[1001] = vX_[613] * vX_[903] + vX_[13] * vX_[1001] + vX_[67] * vX_[215];
+ jac[502] = (0 - vX_[42] * vX_[215] - vX_[49] * (vX_[65] * vX_[1159] + vX_[46] * vX_[184]) - vX_[30] * (vX_[46] * vX_[1159] + vX_[13] * vX_[184]) - vX_[40] * vX_[1157] - vX_[53] * vX_[1001]) / vX_[42];
+ vX_[215] = vX_[215] + jac[502];
+ jac[503] = (0 - 0.1104774 * (vX_[15] * vX_[1157] + vX_[791] * vX_[1001] + vX_[766] * vX_[215]) - 0.0004405 * (vX_[23] * vX_[1157] + vX_[15] * vX_[1001] + vX_[25] * vX_[215]) - 0.026181 * vX_[215]) / 0.026181;
+ vX_[215] = -1 * sin(x_in[14]);
+ vX_[1001] = cos(x_in[14]);
+ vX_[1157] = vX_[215] * vX_[712] + vX_[1001] * vX_[959];
+ vX_[1159] = vX_[1157] * vX_[612];
+ vX_[184] = 0.35 * vX_[1001];
+ vX_[903] = vX_[1001] * vX_[709] + vX_[215] * vX_[722] + vX_[184] * vX_[711];
+ vX_[238] = vX_[788] * vX_[903];
+ vX_[190] = - vX_[1001];
+ vX_[919] = vX_[190] * vX_[712] + vX_[215] * vX_[959];
+ vX_[526] = vX_[1188] * vX_[919] + vX_[1157] * vX_[868];
+ vX_[1255] = (- vX_[903]) * x_in[32];
+ vX_[257] = - vX_[1001];
+ vX_[292] = 0.35 * vX_[215];
+ vX_[1620] = vX_[215] * vX_[709] + vX_[257] * vX_[722] + vX_[292] * vX_[711];
+ vX_[221] = vX_[1620] * x_in[32];
+ vX_[1596] = cos(x_in[14]);
+ vX_[1596] = vX_[966] * (vX_[968] * vX_[1596] - vX_[971] * vX_[215]) + vX_[978] * (vX_[980] * vX_[1596] - vX_[982] * vX_[215]) + vX_[984] * (vX_[985] * vX_[1596] - vX_[986] * vX_[215]);
+ vX_[990] = ((- vX_[991]) * 100. * vX_[1596] * vX_[989]) / vX_[990];
+ vX_[989] = cos(x_in[14]);
+ vX_[902] = vX_[900] * vX_[989] - vX_[902] * vX_[215];
+ vX_[906] = vX_[905] * vX_[989] - vX_[906] * vX_[215];
+ vX_[896] = (vX_[881] * vX_[989] + vX_[885] * vX_[215]) * x_in[32] + (vX_[887] * vX_[215] + vX_[889] * vX_[989]) * x_in[31] + (vX_[894] * vX_[215] + vX_[896] * vX_[989]) * x_in[30] + x_in[18] * vX_[902] - x_in[19] * vX_[906];
+ vX_[936] = vX_[934] * vX_[989] - vX_[936] * vX_[215];
+ vX_[906] = (vX_[918] * vX_[989] + vX_[920] * vX_[215]) * x_in[32] + (vX_[922] * vX_[215] + vX_[924] * vX_[989]) * x_in[31] + (vX_[928] * vX_[989] - vX_[930] * vX_[215]) * x_in[30] + x_in[20] * vX_[906] - x_in[18] * vX_[936];
+ vX_[936] = (vX_[943] * vX_[989] - vX_[944] * vX_[215]) * x_in[32] + (vX_[946] * vX_[989] - vX_[947] * vX_[215]) * x_in[31] + x_in[19] * vX_[936] - x_in[20] * vX_[902];
+ vX_[1596] = vX_[950] * vX_[990] + -1000. * (vX_[879] * vX_[896] + vX_[916] * vX_[906] + vX_[942] * vX_[936]) * vX_[991] + 5000. * -100. * vX_[1596] * vX_[988];
+ vX_[1011] = vX_[1011] * vX_[990] + -1000. * (vX_[915] * vX_[896] + vX_[878] * vX_[906] + vX_[1010] * vX_[936]) * vX_[991];
+ vX_[936] = vX_[875] * vX_[990] + -1000. * (vX_[941] * vX_[896] + vX_[1009] * vX_[906] + vX_[913] * vX_[936]) * vX_[991];
+ vX_[906] = vX_[861] * vX_[1596] + vX_[1007] * vX_[1011] + vX_[1012] * vX_[936];
+ vX_[838] = vX_[837] * vX_[1001] - vX_[838] * vX_[215];
+ vX_[837] = vX_[1018] * vX_[1596] + vX_[992] * vX_[1011] + vX_[1005] * vX_[936];
+ vX_[1013] = vX_[1008] * vX_[1001] - vX_[1013] * vX_[215];
+ vX_[1008] = vX_[839] * vX_[906] + vX_[838] * vX_[617] - (vX_[1015] * vX_[837] + vX_[1013] * vX_[993]);
+ vX_[1019] = vX_[1002] * vX_[1001] - vX_[1019] * vX_[215];
+ vX_[936] = vX_[870] * vX_[1596] + vX_[860] * vX_[1011] + vX_[1017] * vX_[936];
+ vX_[838] = vX_[1021] * vX_[837] + vX_[1019] * vX_[993] - (vX_[839] * vX_[936] + vX_[838] * vX_[616]);
+ vX_[1011] = vX_[919] * vX_[612] - vX_[788] * vX_[1620];
+ vX_[1596] = 0.110125 * (vX_[238] - vX_[1159]) + 0.025941 * vX_[526] - vX_[836] * vX_[1008] - vX_[137] * vX_[838] - vX_[862] * vX_[936] - vX_[994] * vX_[906] - vX_[999] * vX_[837] - -0.000881 * vX_[1011];
+ vX_[1002] = 0 - vX_[1596];
+ vX_[896] = vX_[1016] * vX_[1001] + vX_[856] * vX_[215];
+ vX_[990] = vX_[1023] * vX_[215];
+ vX_[875] = vX_[159] * vX_[1001] - vX_[139] * vX_[215];
+ vX_[238] = -0.881 * (vX_[1159] - vX_[238]) + 0.110125 * vX_[526] + 0.417781802643138 * vX_[1255] + -0.00370574557885489 * vX_[221] + (0.110125 * vX_[1002]) / 0.026181 - (vX_[1006] * vX_[936] + vX_[896] * vX_[616]) - (vX_[1025] * vX_[906] + (vX_[1022] * vX_[1001] + vX_[990]) * vX_[617]) - (vX_[1026] * vX_[837] + vX_[875] * vX_[993]) - -0.000881 * (vX_[1188] * vX_[1157] + vX_[1157] * vX_[1188]);
+ vX_[856] = vX_[856] * vX_[1001] - vX_[1016] * vX_[215];
+ vX_[1023] = vX_[1023] * vX_[1001];
+ vX_[1011] = 0.881 * vX_[1011] + -0.000881 * vX_[526] + -0.00370574557885489 * vX_[1255] + 0.880970354035369 * vX_[221] + (0.000881 * vX_[1002]) / 0.026181 - (vX_[1028] * vX_[936] + vX_[856] * vX_[616]) - (vX_[1030] * vX_[906] + (vX_[1023] - vX_[1022] * vX_[215]) * vX_[617]) - (vX_[1032] * vX_[837] + (vX_[1031] * vX_[1001] - vX_[159] * vX_[215]) * vX_[993]) - 0.110125 * (vX_[868] * vX_[919] + vX_[919] * vX_[868]);
+ vX_[526] = -0.35 * vX_[215];
+ vX_[1031] = -0.00370574557885489 * vX_[184] - 0.417781802643138 * vX_[526];
+ vX_[1022] = 0.881 * vX_[526];
+ vX_[1016] = vX_[1031] + vX_[1022];
+ vX_[1159] = 0.880970354035369 * vX_[184] - -0.00370574557885489 * vX_[526];
+ vX_[988] = - 0.881 * vX_[184];
+ vX_[950] = vX_[1159] + vX_[988];
+ vX_[902] = - vX_[1022];
+ vX_[989] = vX_[142] * vX_[902] + vX_[215] * vX_[146] + vX_[152] * vX_[988] + vX_[190] * vX_[150];
+ vX_[947] = vX_[147] * vX_[215] + vX_[1016] * vX_[142] + vX_[151] * vX_[1001] + vX_[950] * vX_[140] + vX_[989];
+ vX_[1159] = vX_[148] * vX_[184] + vX_[1159] * vX_[141] - (vX_[144] * vX_[526] + vX_[1031] * vX_[143]);
+ vX_[1031] = (vX_[947] - vX_[157] * vX_[1159]) / vX_[156];
+ vX_[148] = - 2.1e-05 * vX_[1031];
+ vX_[144] = - -0.000102 * vX_[1031];
+ vX_[946] = -2.96459646308422e-05 * vX_[1001] + -0.00370574557885489 * vX_[215];
+ vX_[944] = -0.00370574557885489 * vX_[1001] + -0.463218197356862 * vX_[215];
+ vX_[943] = vX_[185] * vX_[1001] + vX_[946] * vX_[140] + vX_[186] * vX_[215] + vX_[944] * vX_[142];
+ vX_[930] = vX_[943] - (vX_[154] * vX_[1031] + vX_[947] * vX_[157]);
+ vX_[902] = vX_[140] * vX_[902] + vX_[1001] * vX_[146] + vX_[142] * vX_[988] + vX_[215] * vX_[150];
+ vX_[950] = vX_[147] * vX_[190] + vX_[1016] * vX_[152] + vX_[151] * vX_[215] + vX_[950] * vX_[142] - vX_[902];
+ vX_[944] = vX_[186] * vX_[190] + vX_[944] * vX_[152] + vX_[185] * vX_[215] + vX_[946] * vX_[142] - (vX_[164] * vX_[1031] + vX_[950] * vX_[157]);
+ vX_[1596] = (0.026181 * vX_[1002]) / 0.026181 + vX_[1596] + vX_[1034] * vX_[238] + vX_[292] * vX_[1083] + vX_[141] * vX_[1011] + vX_[184] * vX_[1];
+ vX_[946] = 0 - vX_[1596];
+ vX_[1333] = vX_[142] * vX_[238] + vX_[215] * vX_[1083] + vX_[140] * vX_[1011] + vX_[1001] * vX_[1] + vX_[148] * vX_[850] + vX_[144] * vX_[961] + vX_[930] * vX_[2] + vX_[944] * vX_[4] + (vX_[154] * vX_[946] + vX_[947] * vX_[952] - vX_[1333] * vX_[1159]) / vX_[156];
+ vX_[1031] = (vX_[950] - vX_[165] * vX_[1159]) / vX_[156];
+ vX_[186] = - 2.1e-05 * vX_[1031];
+ vX_[185] = - -0.000102 * vX_[1031];
+ vX_[1031] = 0 - vX_[943] - (vX_[164] * vX_[1031] + vX_[950] * vX_[165]);
+ vX_[1011] = vX_[1037] * vX_[238] + vX_[257] * vX_[1083] + vX_[142] * vX_[1011] + vX_[215] * vX_[1] + vX_[186] * vX_[850] + vX_[185] * vX_[961] + vX_[944] * vX_[2] + vX_[1031] * vX_[4] + (vX_[164] * vX_[946] + vX_[950] * vX_[952] - vX_[620] * vX_[1159]) / vX_[156];
+ vX_[238] = vX_[178] * vX_[1031] - vX_[176] * vX_[944];
+ vX_[620] = vX_[178] * vX_[944] - vX_[176] * vX_[930];
+ vX_[1] = vX_[238] * vX_[178] - vX_[620] * vX_[176];
+ vX_[1083] = vX_[185] * vX_[178] - vX_[144] * vX_[176];
+ vX_[943] = vX_[186] * vX_[178] - vX_[148] * vX_[176];
+ vX_[165] = - vX_[943];
+ vX_[157] = vX_[160] * vX_[1083] + vX_[139] * vX_[165];
+ vX_[1022] = -0.22025 * vX_[526] + vX_[145] * vX_[526] + vX_[1022] * vX_[143] - vX_[1159];
+ vX_[145] = 0 - -0.001762 * vX_[184] - (vX_[149] * vX_[184] + vX_[988] * vX_[141]) - vX_[1159];
+ vX_[988] = -0.000881 * vX_[526] + vX_[149] * vX_[526] + vX_[988] * vX_[143] - -0.110125 * vX_[184];
+ vX_[172] = vX_[140] * vX_[145] + vX_[1001] * vX_[172] + vX_[142] * vX_[988] + vX_[215] * vX_[169];
+ vX_[988] = vX_[140] * vX_[988] + vX_[1001] * vX_[169] + vX_[142] * vX_[1022] + vX_[215] * vX_[170];
+ vX_[170] = vX_[173] * vX_[1001] + vX_[172] * vX_[140] + vX_[171] * vX_[215] + vX_[988] * vX_[142];
+ vX_[145] = vX_[1022] + vX_[145] + vX_[1159] - vX_[170] - -0.000102 * ((- vX_[195]) * vX_[1159]) / vX_[156];
+ vX_[1022] = vX_[145] - 2. * vX_[902] * vX_[178] - vX_[1];
+ vX_[174] = ((- vX_[174]) * vX_[1159]) / vX_[156];
+ vX_[988] = vX_[171] * vX_[190] + vX_[988] * vX_[152] + vX_[173] * vX_[215] + vX_[172] * vX_[142] - -0.000102 * vX_[174];
+ vX_[989] = 0 - vX_[989];
+ vX_[178] = vX_[988] + vX_[902] * vX_[176] - vX_[989] * vX_[178];
+ vX_[172] = vX_[159] * vX_[1022] + vX_[139] * vX_[178];
+ vX_[174] = vX_[1159] + vX_[170] - 2.1e-05 * vX_[174];
+ vX_[176] = 2. * vX_[989] * vX_[176] + vX_[174] - vX_[1];
+ vX_[178] = vX_[159] * vX_[178] + vX_[139] * vX_[176];
+ vX_[170] = vX_[172] * vX_[159] + vX_[178] * vX_[139];
+ vX_[173] = vX_[1] + vX_[170];
+ vX_[171] = (vX_[157] - vX_[506] * vX_[173]) / vX_[203];
+ vX_[195] = vX_[1] - (vX_[240] * vX_[171] + vX_[157] * vX_[506]);
+ vX_[178] = vX_[178] * vX_[160] + vX_[172] * vX_[139];
+ vX_[171] = -1 * 2. * vX_[943] * vX_[160] + -1 * 2. * vX_[1083] * vX_[139] + vX_[139] * vX_[1083] + vX_[159] * vX_[165] - (vX_[198] * vX_[171] + vX_[178] * vX_[506]);
+ vX_[165] = - vX_[989];
+ vX_[943] = vX_[139] * vX_[165] + vX_[160] * vX_[902];
+ vX_[1083] = (vX_[943] - vX_[218] * vX_[173]) / vX_[203];
+ vX_[506] = -(vX_[240] * vX_[1083] + vX_[157] * vX_[218]);
+ vX_[620] = -1 * (vX_[620] + vX_[989]);
+ vX_[238] = -1 * (vX_[238] + vX_[902]);
+ vX_[165] = vX_[159] * vX_[165] + vX_[139] * vX_[902];
+ vX_[172] = vX_[159] * vX_[185] + vX_[139] * vX_[186];
+ vX_[169] = vX_[159] * vX_[144] + vX_[139] * vX_[148];
+ vX_[526] = vX_[172] * vX_[139] + vX_[169] * vX_[160];
+ vX_[149] = (vX_[526] - vX_[204] * vX_[173]) / vX_[203];
+ vX_[143] = vX_[620] * vX_[160] + vX_[238] * vX_[139] + vX_[165] - (vX_[240] * vX_[149] + vX_[157] * vX_[204]);
+ vX_[1016] = (- vX_[1157]) * x_in[32];
+ vX_[1019] = vX_[1015] * vX_[936] + vX_[1013] * vX_[616] - (vX_[1021] * vX_[906] + vX_[1019] * vX_[617]);
+ vX_[1620] = vX_[1188] * vX_[1620] + vX_[1157] * vX_[3] - (vX_[868] * vX_[903] + vX_[919] * vX_[1104]);
+ vX_[1157] = vX_[1157] * vX_[788];
+ vX_[875] = 0.026409 * vX_[1016] - (vX_[1006] * vX_[1008] + vX_[896] * vX_[995]) - (vX_[1024] * vX_[838] + (vX_[1027] * vX_[1001] + vX_[990]) * vX_[1004]) - (vX_[1026] * vX_[1019] + vX_[875] * vX_[708]) - (vX_[1045] * vX_[936] + (vX_[1041] * vX_[1001] + vX_[1044] * vX_[215]) * vX_[616]) - (vX_[1052] * vX_[906] + (vX_[1048] * vX_[1001] + vX_[1051] * vX_[215]) * vX_[617]) - (vX_[1057] * vX_[837] + (vX_[1054] * vX_[1001] + vX_[1056] * vX_[215]) * vX_[993]) - 0.110125 * vX_[1620] - 0.025713 * vX_[1157];
+ vX_[990] = vX_[919] * vX_[788];
+ vX_[919] = vX_[919] * x_in[32];
+ vX_[1019] = -0.000227999999999999 * vX_[990] + -0.000881 * vX_[1620] + 0.000468 * vX_[919] - (vX_[1028] * vX_[1008] + vX_[856] * vX_[995]) - (vX_[1029] * vX_[838] + (vX_[1023] - vX_[1027] * vX_[215]) * vX_[1004]) - (vX_[1060] * vX_[1019] + (vX_[1059] * vX_[1001] - vX_[159] * vX_[215]) * vX_[708]) - (vX_[1067] * vX_[936] + (vX_[1063] * vX_[1001] + vX_[1066] * vX_[215]) * vX_[616]) - (vX_[1074] * vX_[906] + (vX_[1070] * vX_[1001] + vX_[1073] * vX_[215]) * vX_[617]) - (vX_[1078] * vX_[837] + (vX_[1075] * vX_[1001] - vX_[1077] * vX_[215]) * vX_[993]);
+ vX_[919] = 0.110125 * vX_[1157] + 0.881 * vX_[1620] + -0.000881 * vX_[990] + -0.110125 * vX_[1016] + -0.000881 * vX_[919] - vX_[840] * vX_[936] - vX_[137] * vX_[906];
+ vX_[174] = vX_[142] * vX_[875] + vX_[215] * vX_[598] + vX_[140] * vX_[1019] + vX_[1001] * vX_[1350] + -0.35 * vX_[919] + vX_[174] * vX_[850] + vX_[988] * vX_[961] + vX_[148] * vX_[2] + vX_[186] * vX_[4] + (2.1e-05 * vX_[946] - vX_[841] * vX_[1159]) / vX_[156];
+ vX_[1019] = vX_[152] * vX_[875] + vX_[190] * vX_[598] + vX_[142] * vX_[1019] + vX_[215] * vX_[1350] + vX_[988] * vX_[850] + vX_[145] * vX_[961] + vX_[144] * vX_[2] + vX_[185] * vX_[4] + (-0.000102 * vX_[946] - vX_[1189] * vX_[1159]) / vX_[156];
+ vX_[919] = vX_[919] + vX_[989] * vX_[850] + vX_[902] * vX_[961];
+ vX_[989] = vX_[139] * vX_[174] + vX_[159] * vX_[1019] + -0.08 * vX_[919];
+ vX_[902] = 0 - vX_[989];
+ vX_[1596] = vX_[790] * vX_[1333] + vX_[177] * vX_[1011] + -1 * (vX_[1596] + (vX_[156] * vX_[946] + vX_[1159] * vX_[952] - vX_[723] * vX_[1159]) / vX_[156]) + vX_[195] * vX_[996] + vX_[171] * vX_[1092] + vX_[506] * vX_[958] + vX_[143] * vX_[1542] + (vX_[240] * vX_[902] + vX_[157] * vX_[1195] - vX_[1337] * vX_[173]) / vX_[203];
+ vX_[170] = vX_[176] + vX_[1022] + vX_[1] - vX_[170] - (vX_[198] * (vX_[178] - vX_[515] * vX_[173]) / vX_[203] + vX_[178] * vX_[515]);
+ vX_[165] = 0 - vX_[165] - (vX_[198] * vX_[1083] + vX_[178] * vX_[218]);
+ vX_[144] = vX_[139] * vX_[144] + vX_[160] * vX_[148];
+ vX_[185] = vX_[139] * vX_[185] + vX_[160] * vX_[186];
+ vX_[186] = vX_[144] * vX_[160] + vX_[185] * vX_[139] - (vX_[198] * vX_[149] + vX_[178] * vX_[204]);
+ vX_[1019] = vX_[160] * vX_[174] + vX_[139] * vX_[1019] + vX_[171] * vX_[996] + vX_[170] * vX_[1092] + vX_[165] * vX_[958] + vX_[186] * vX_[1542] + (vX_[198] * vX_[902] + vX_[178] * vX_[1195] - vX_[589] * vX_[173]) / vX_[203];
+ vX_[169] = vX_[172] * vX_[159] + vX_[169] * vX_[139];
+ vX_[172] = (vX_[169] - vX_[226] * vX_[173]) / vX_[203];
+ vX_[238] = vX_[620] * vX_[139] + vX_[238] * vX_[159] - vX_[943] - (vX_[240] * vX_[172] + vX_[157] * vX_[226]);
+ vX_[185] = vX_[144] * vX_[139] + vX_[185] * vX_[159] - (vX_[198] * vX_[172] + vX_[178] * vX_[226]);
+ vX_[144] = -(vX_[217] * vX_[172] + vX_[943] * vX_[226]);
+ vX_[620] = vX_[159] * vX_[944] + vX_[139] * vX_[930];
+ vX_[944] = vX_[159] * vX_[1031] + vX_[139] * vX_[944];
+ vX_[174] = vX_[620] * vX_[160] + vX_[944] * vX_[139] - (vX_[201] * vX_[172] + vX_[526] * vX_[226]);
+ vX_[1448] = vX_[139] * vX_[1333] + vX_[159] * vX_[1011] + vX_[238] * vX_[996] + vX_[185] * vX_[1092] + vX_[144] * vX_[958] + vX_[174] * vX_[1542] + (vX_[225] * vX_[902] + vX_[169] * vX_[1195] - vX_[1448] * vX_[173]) / vX_[203];
+ vX_[589] = -(vX_[217] * vX_[1083] + vX_[943] * vX_[218]);
+ vX_[1083] = -(vX_[201] * vX_[1083] + vX_[526] * vX_[218]);
+ vX_[919] = -1 * vX_[919] + vX_[506] * vX_[996] + vX_[165] * vX_[1092] + vX_[589] * vX_[958] + vX_[1083] * vX_[1542] + (vX_[217] * vX_[902] + vX_[943] * vX_[1195] - vX_[1355] * vX_[173]) / vX_[203];
+ vX_[944] = vX_[944] * vX_[159] + vX_[620] * vX_[139];
+ vX_[149] = vX_[930] + vX_[1031] - vX_[944] - (vX_[201] * vX_[149] + vX_[526] * vX_[204]);
+ vX_[1011] = vX_[1079] * vX_[1333] + vX_[139] * vX_[1011] + vX_[143] * vX_[996] + vX_[186] * vX_[1092] + vX_[1083] * vX_[958] + vX_[149] * vX_[1542] + (vX_[201] * vX_[902] + vX_[526] * vX_[1195] - vX_[1648] * vX_[173]) / vX_[203];
+ vX_[944] = vX_[944] - (vX_[225] * vX_[172] + vX_[169] * vX_[226]);
+ vX_[172] = vX_[232] * vX_[944] - vX_[212] * vX_[174];
+ vX_[226] = vX_[232] * vX_[174] - vX_[212] * vX_[149];
+ vX_[1333] = vX_[207] * vX_[149] - vX_[232] * vX_[1083];
+ vX_[1648] = vX_[207] * vX_[1083] - vX_[232] * vX_[589];
+ vX_[1542] = vX_[1333] * vX_[207] - vX_[1648] * vX_[232];
+ vX_[195] = 2. * vX_[238] * vX_[232] + vX_[195] + vX_[172] * vX_[232] - 2. * vX_[143] * vX_[212] - vX_[226] * vX_[212] - vX_[1542];
+ vX_[958] = vX_[212] * vX_[589] - vX_[207] * vX_[144];
+ vX_[1092] = vX_[212] * vX_[144] - vX_[207] * vX_[944];
+ vX_[170] = 2. * vX_[165] * vX_[212] + vX_[170] + vX_[958] * vX_[212] - 2. * vX_[185] * vX_[207] - vX_[1092] * vX_[207] - vX_[1542];
+ vX_[996] = vX_[212] * vX_[1083];
+ vX_[1031] = vX_[207] * vX_[174];
+ vX_[930] = vX_[996] - vX_[1031];
+ vX_[171] = vX_[506] * vX_[212] + vX_[171] + vX_[185] * vX_[232] + vX_[1092] * vX_[232] - vX_[186] * vX_[212] - vX_[238] * vX_[207] - vX_[930] * vX_[212];
+ vX_[212] = vX_[138] * vX_[171];
+ vX_[204] = (vX_[209] * vX_[170] + vX_[212]) * vX_[209] + (vX_[209] * vX_[171] + vX_[138] * vX_[195]) * vX_[138];
+ vX_[171] = vX_[138] * vX_[170] + vX_[208] * vX_[171];
+ vX_[212] = vX_[212] + vX_[208] * vX_[195];
+ vX_[620] = vX_[171] * vX_[138] + vX_[212] * vX_[208];
+ vX_[170] = vX_[195] + vX_[170] + vX_[1542] - vX_[204] - vX_[620];
+ vX_[989] = (vX_[248] * vX_[919] + vX_[206] * vX_[1011] + -1 * (vX_[989] + (vX_[203] * vX_[902] + vX_[173] * vX_[1195] - vX_[872] * vX_[173]) / vX_[203]) - vX_[1518] * vX_[170]) / vX_[583];
+ vX_[872] = vX_[232] * vX_[144];
+ vX_[996] = vX_[872] - vX_[996];
+ vX_[1195] = vX_[506] * vX_[232] + vX_[996] * vX_[232] - vX_[143] * vX_[207] - vX_[226] * vX_[207];
+ vX_[232] = vX_[186] * vX_[207] + vX_[930] * vX_[207] - vX_[165] * vX_[232] - vX_[958] * vX_[232];
+ vX_[207] = vX_[138] * vX_[1195] + vX_[208] * vX_[232];
+ vX_[195] = (vX_[207] - vX_[1567] * vX_[170]) / vX_[583];
+ vX_[204] = vX_[1542] + vX_[204] - (vX_[1566] * vX_[195] + vX_[207] * vX_[1567]);
+ vX_[1355] = (vX_[138] * vX_[1596] + vX_[209] * vX_[1019] + vX_[210] * vX_[919] + vX_[1570] * vX_[1011] - (vX_[1566] * vX_[989] + vX_[207] * vX_[1518]) - vX_[1677] * vX_[204]) / vX_[580];
+ vX_[212] = vX_[171] * vX_[209] + vX_[212] * vX_[138];
+ vX_[232] = 0 - vX_[138] * vX_[232] - vX_[209] * vX_[1195];
+ vX_[1195] = vX_[212] - (vX_[490] * vX_[195] + vX_[232] * vX_[1567]);
+ vX_[171] = (vX_[232] - vX_[584] * vX_[170]) / vX_[583];
+ vX_[212] = (vX_[212] - (vX_[1566] * vX_[171] + vX_[207] * vX_[584]) - vX_[1565] * vX_[204]) / vX_[580];
+ vX_[620] = vX_[1542] + vX_[620] - (vX_[1568] * vX_[212] + vX_[1195] * vX_[1565]) - (vX_[490] * vX_[171] + vX_[232] * vX_[584]);
+ vX_[1019] = (vX_[208] * vX_[1596] + vX_[138] * vX_[1019] + 0.207 * vX_[1448] + vX_[211] * vX_[919] + vX_[998] * vX_[1011] - (vX_[1568] * vX_[1355] + vX_[1195] * vX_[1677]) - (vX_[490] * vX_[989] + vX_[232] * vX_[1518]) - vX_[1201] * vX_[620]) / vX_[582];
+ vX_[958] = vX_[958] + vX_[165];
+ vX_[872] = vX_[1031] - vX_[872];
+ vX_[996] = vX_[506] + vX_[996] - vX_[872];
+ vX_[506] = vX_[209] * vX_[958] + vX_[138] * vX_[996];
+ vX_[930] = vX_[186] + vX_[930] - vX_[872];
+ vX_[226] = vX_[226] + vX_[143];
+ vX_[143] = vX_[209] * vX_[930] + vX_[138] * vX_[226];
+ vX_[186] = vX_[506] * vX_[138] + vX_[143] * vX_[209] + vX_[872];
+ vX_[172] = vX_[172] + vX_[238];
+ vX_[1648] = -1 * (vX_[1648] + vX_[172]);
+ vX_[1092] = vX_[1092] + vX_[185];
+ vX_[1333] = -1 * (vX_[1333] + vX_[1092]);
+ vX_[172] = - vX_[172];
+ vX_[185] = vX_[138] * vX_[172] + vX_[208] * vX_[1092];
+ vX_[238] = vX_[1648] * vX_[138] + vX_[1333] * vX_[209] - vX_[185];
+ vX_[1031] = vX_[186] - (vX_[1611] * vX_[195] + vX_[238] * vX_[1567]);
+ vX_[226] = vX_[138] * vX_[930] + vX_[208] * vX_[226];
+ vX_[996] = vX_[138] * vX_[958] + vX_[208] * vX_[996];
+ vX_[958] = vX_[226] * vX_[209] + vX_[996] * vX_[138];
+ vX_[930] = vX_[958] - (vX_[1587] * vX_[212] + vX_[1031] * vX_[1565]) - (vX_[1611] * vX_[171] + vX_[238] * vX_[584]);
+ vX_[165] = vX_[185] - (vX_[1630] * vX_[195] + vX_[872] * vX_[1567]);
+ vX_[172] = vX_[209] * vX_[172] + vX_[138] * vX_[1092];
+ vX_[1092] = - vX_[172];
+ vX_[1596] = vX_[1092] - (vX_[1610] * vX_[212] + vX_[165] * vX_[1565]) - (vX_[1630] * vX_[171] + vX_[872] * vX_[584]);
+ vX_[589] = vX_[589] - vX_[944];
+ vX_[149] = vX_[149] - vX_[944];
+ vX_[1542] = vX_[138] * vX_[1083];
+ vX_[218] = (vX_[209] * vX_[149] + vX_[1542]) * vX_[209] + (vX_[209] * vX_[1083] + vX_[138] * vX_[589]) * vX_[138];
+ vX_[1083] = vX_[138] * vX_[149] + vX_[208] * vX_[1083];
+ vX_[1542] = vX_[1542] + vX_[208] * vX_[589];
+ vX_[148] = vX_[1083] * vX_[138] + vX_[1542] * vX_[208];
+ vX_[176] = (vX_[872] - vX_[1593] * vX_[170]) / vX_[583];
+ vX_[185] = (vX_[185] - (vX_[1566] * vX_[176] + vX_[207] * vX_[1593]) - vX_[1619] * vX_[204]) / vX_[580];
+ vX_[1092] = (vX_[1092] - (vX_[1568] * vX_[185] + vX_[1195] * vX_[1619]) - (vX_[490] * vX_[176] + vX_[232] * vX_[1593]) - vX_[1628] * vX_[620]) / vX_[582];
+ vX_[149] = vX_[589] + vX_[149] + vX_[944] - vX_[218] - vX_[148] - (vX_[1610] * vX_[185] + vX_[165] * vX_[1619]) - (vX_[1630] * vX_[176] + vX_[872] * vX_[1593]) - (vX_[1627] * vX_[1092] + vX_[1596] * vX_[1628]);
+ vX_[1448] = (-1 * vX_[1448] - (vX_[1610] * vX_[1355] + vX_[165] * vX_[1677]) - (vX_[1630] * vX_[989] + vX_[872] * vX_[1518]) - (vX_[1627] * vX_[1019] + vX_[1596] * vX_[1201]) - vX_[1110] * vX_[149]) / vX_[1657];
+ vX_[144] = - vX_[144];
+ vX_[589] = vX_[138] * vX_[144] + vX_[208] * vX_[174];
+ vX_[1022] = vX_[589] - (vX_[1587] * vX_[185] + vX_[1031] * vX_[1619]) - (vX_[1611] * vX_[176] + vX_[238] * vX_[1593]) - (vX_[1575] * vX_[1092] + vX_[930] * vX_[1628]);
+ vX_[1] = (vX_[238] - vX_[1612] * vX_[170]) / vX_[583];
+ vX_[186] = (vX_[186] - (vX_[1566] * vX_[1] + vX_[207] * vX_[1612]) - vX_[1613] * vX_[204]) / vX_[580];
+ vX_[958] = (vX_[958] - (vX_[1568] * vX_[186] + vX_[1195] * vX_[1613]) - (vX_[490] * vX_[1] + vX_[232] * vX_[1612]) - vX_[1614] * vX_[620]) / vX_[582];
+ vX_[589] = (vX_[589] - (vX_[1610] * vX_[186] + vX_[165] * vX_[1613]) - (vX_[1630] * vX_[1] + vX_[872] * vX_[1612]) - (vX_[1627] * vX_[958] + vX_[1596] * vX_[1614]) - vX_[1599] * vX_[149]) / vX_[1657];
+ vX_[218] = vX_[944] + vX_[218] - (vX_[1587] * vX_[186] + vX_[1031] * vX_[1613]) - (vX_[1611] * vX_[1] + vX_[238] * vX_[1612]) - (vX_[1575] * vX_[958] + vX_[930] * vX_[1614]) - (vX_[1629] * vX_[589] + vX_[1022] * vX_[1599]);
+ vX_[515] = (vX_[1615] * vX_[919] + vX_[1616] * vX_[1011] - (vX_[1587] * vX_[1355] + vX_[1031] * vX_[1677]) - (vX_[1611] * vX_[989] + vX_[238] * vX_[1518]) - (vX_[1575] * vX_[1019] + vX_[930] * vX_[1201]) - (vX_[1629] * vX_[1448] + vX_[1022] * vX_[1110]) - vX_[1691] * vX_[218]) / vX_[1654];
+ vX_[143] = vX_[143] * vX_[138] + vX_[506] * vX_[208];
+ vX_[172] = vX_[1648] * vX_[208] + vX_[1333] * vX_[138] + vX_[172];
+ vX_[1333] = vX_[143] - (vX_[1626] * vX_[195] + vX_[172] * vX_[1567]);
+ vX_[996] = vX_[996] * vX_[208] + vX_[226] * vX_[138] + vX_[872];
+ vX_[226] = vX_[996] - (vX_[748] * vX_[212] + vX_[1333] * vX_[1565]) - (vX_[1626] * vX_[171] + vX_[172] * vX_[584]);
+ vX_[144] = 0 - vX_[138] * vX_[174] - vX_[209] * vX_[144];
+ vX_[174] = vX_[144] - (vX_[748] * vX_[185] + vX_[1333] * vX_[1619]) - (vX_[1626] * vX_[176] + vX_[172] * vX_[1593]) - (vX_[484] * vX_[1092] + vX_[226] * vX_[1628]);
+ vX_[1542] = vX_[1083] * vX_[209] + vX_[1542] * vX_[138];
+ vX_[1083] = vX_[1542] - (vX_[748] * vX_[186] + vX_[1333] * vX_[1613]) - (vX_[1626] * vX_[1] + vX_[172] * vX_[1612]) - (vX_[484] * vX_[958] + vX_[226] * vX_[1614]) - (vX_[1664] * vX_[589] + vX_[174] * vX_[1599]);
+ vX_[170] = (vX_[172] - vX_[1658] * vX_[170]) / vX_[583];
+ vX_[143] = (vX_[143] - (vX_[1566] * vX_[170] + vX_[207] * vX_[1658]) - vX_[1659] * vX_[204]) / vX_[580];
+ vX_[996] = (vX_[996] - (vX_[1568] * vX_[143] + vX_[1195] * vX_[1659]) - (vX_[490] * vX_[170] + vX_[232] * vX_[1658]) - vX_[1660] * vX_[620]) / vX_[582];
+ vX_[144] = (vX_[144] - (vX_[1610] * vX_[143] + vX_[165] * vX_[1659]) - (vX_[1630] * vX_[170] + vX_[872] * vX_[1658]) - (vX_[1627] * vX_[996] + vX_[1596] * vX_[1660]) - vX_[1665] * vX_[149]) / vX_[1657];
+ vX_[1542] = (vX_[1542] - (vX_[1587] * vX_[143] + vX_[1031] * vX_[1659]) - (vX_[1611] * vX_[170] + vX_[238] * vX_[1658]) - (vX_[1575] * vX_[996] + vX_[930] * vX_[1660]) - (vX_[1629] * vX_[144] + vX_[1022] * vX_[1665]) - vX_[1666] * vX_[218]) / vX_[1654];
+ vX_[1083] = (vX_[208] * vX_[919] + vX_[1668] * vX_[1011] - (vX_[748] * vX_[1355] + vX_[1333] * vX_[1677]) - (vX_[1626] * vX_[989] + vX_[172] * vX_[1518]) - (vX_[484] * vX_[1019] + vX_[226] * vX_[1201]) - (vX_[1664] * vX_[1448] + vX_[174] * vX_[1110]) - (vX_[1584] * vX_[515] + vX_[1083] * vX_[1691]) - vX_[471] * (vX_[944] + vX_[148] - (vX_[748] * vX_[143] + vX_[1333] * vX_[1659]) - (vX_[1626] * vX_[170] + vX_[172] * vX_[1658]) - (vX_[484] * vX_[996] + vX_[226] * vX_[1660]) - (vX_[1664] * vX_[144] + vX_[174] * vX_[1665]) - (vX_[1584] * vX_[1542] + vX_[1083] * vX_[1666]))) / vX_[1656];
+ jac[527] = - vX_[1083];
+ vX_[1542] = vX_[515] - (vX_[1666] * vX_[1083] + vX_[1542] * vX_[471]);
+ jac[526] = - vX_[1542];
+ vX_[144] = vX_[1448] - (vX_[1665] * vX_[1083] + vX_[144] * vX_[471]) - (vX_[1599] * vX_[1542] + vX_[589] * vX_[1353]);
+ jac[525] = - vX_[144];
+ vX_[996] = vX_[1019] - (vX_[1614] * vX_[1542] + vX_[958] * vX_[1353]) - (vX_[1628] * vX_[144] + vX_[1092] * vX_[546]) - (vX_[1660] * vX_[1083] + vX_[996] * vX_[471]);
+ jac[524] = - vX_[996];
+ vX_[143] = vX_[1355] - (vX_[1619] * vX_[144] + vX_[185] * vX_[546]) - (vX_[1565] * vX_[996] + vX_[212] * vX_[536]) - (vX_[1613] * vX_[1542] + vX_[186] * vX_[1353]) - (vX_[1659] * vX_[1083] + vX_[143] * vX_[471]);
+ jac[522] = vX_[584] * vX_[996] + vX_[171] * vX_[536] + vX_[1567] * vX_[143] + vX_[195] * vX_[1338] + vX_[1593] * vX_[144] + vX_[176] * vX_[546] + vX_[1612] * vX_[1542] + vX_[1] * vX_[1353] + vX_[1658] * vX_[1083] + vX_[170] * vX_[471] - vX_[989];
+ jac[523] = - vX_[143];
+ vX_[143] = -1 * jac[522];
+ vX_[996] = vX_[450] * jac[524] + vX_[370] * jac[523];
+ vX_[144] = vX_[370] * jac[524] + vX_[451] * jac[523];
+ vX_[1542] = -1 * jac[525];
+ vX_[1083] = 0.207 * jac[524] + vX_[1542];
+ vX_[170] = vX_[1481] * jac[524] + vX_[1572] * jac[523] + vX_[448] * jac[522] + vX_[1670] * jac[527] + vX_[1618] * jac[526];
+ jac[528] = (0 - vX_[445] * vX_[143] - vX_[482] * vX_[996] - vX_[440] * vX_[144] - vX_[467] * vX_[1083] - vX_[459] * (vX_[453] * jac[524] + vX_[452] * jac[523] + vX_[1573] * jac[522] + vX_[450] * jac[527] + vX_[1617] * jac[526]) - vX_[443] * vX_[170]) / vX_[445];
+ vX_[1] = -1 * vX_[996];
+ vX_[176] = vX_[143] + jac[528];
+ vX_[171] = vX_[371] * vX_[1083] + vX_[1562] * vX_[170] + vX_[1275] * vX_[996];
+ vX_[170] = vX_[398] * vX_[1083] + vX_[371] * vX_[170] + vX_[419] * vX_[996];
+ jac[529] = (0 - vX_[395] * vX_[1] - vX_[402] * (vX_[371] * vX_[176] + vX_[399] * vX_[144]) - vX_[383] * (vX_[398] * vX_[176] + vX_[371] * vX_[144]) - vX_[393] * vX_[171] - vX_[406] * vX_[170]) / vX_[395];
+ vX_[1] = vX_[1] + jac[529];
+ jac[530] = (0 - 0.1104774 * (vX_[372] * vX_[171] + vX_[1520] * vX_[170] + vX_[1517] * vX_[1]) - -0.0004405 * (vX_[374] * vX_[171] + vX_[372] * vX_[170] + vX_[377] * vX_[1]) - 0.026181 * vX_[1]) / 0.026181;
+ vX_[1] = vX_[328] * jac[524] + vX_[249] * jac[523];
+ vX_[170] = vX_[330] * jac[524] + vX_[328] * jac[523];
+ vX_[171] = 0.207 * jac[524] + jac[525];
+ vX_[176] = vX_[1318] * jac[524] + vX_[1571] * jac[523] + vX_[327] * jac[522] + vX_[1669] * jac[527] + vX_[328] * jac[526];
+ jac[531] = (0 - vX_[324] * jac[522] - vX_[360] * vX_[1] - vX_[319] * vX_[170] - vX_[345] * vX_[171] - vX_[337] * (vX_[331] * jac[524] + vX_[329] * jac[523] + vX_[368] * jac[522] + vX_[328] * jac[527] + vX_[249] * jac[526]) - vX_[322] * vX_[176]) / vX_[324];
+ vX_[144] = jac[522] + jac[531];
+ vX_[1083] = vX_[1229] * vX_[171] + vX_[1319] * vX_[176] + vX_[1274] * vX_[1];
+ vX_[176] = vX_[698] * vX_[171] + vX_[250] * vX_[176] + vX_[299] * vX_[1];
+ jac[532] = (0 - vX_[274] * vX_[1] - vX_[281] * (vX_[297] * vX_[144] + vX_[278] * vX_[170]) - vX_[262] * (vX_[278] * vX_[144] + vX_[250] * vX_[170]) - vX_[272] * vX_[1083] - vX_[285] * vX_[176]) / vX_[274];
+ vX_[1] = vX_[1] + jac[532];
+ jac[533] = (0 - 0.1104774 * (vX_[251] * vX_[1083] + vX_[1276] * vX_[176] + vX_[1252] * vX_[1]) - -0.0004405 * (vX_[253] * vX_[1083] + vX_[251] * vX_[176] + vX_[256] * vX_[1]) - 0.026181 * vX_[1]) / 0.026181;
+ vX_[1] = vX_[208] * jac[524] + vX_[138] * jac[523];
+ vX_[176] = vX_[138] * jac[524] + vX_[209] * jac[523];
+ vX_[1542] = 0.207 * jac[524] + vX_[1542];
+ vX_[1083] = vX_[998] * jac[524] + vX_[1570] * jac[523] + vX_[206] * jac[522] + vX_[1668] * jac[527] + vX_[1616] * jac[526];
+ jac[534] = (vX_[902] - (vX_[203] * vX_[143] + vX_[173] * vX_[485]) - (vX_[240] * vX_[1] + vX_[157] * vX_[1214]) - (vX_[198] * vX_[176] + vX_[178] * vX_[1672]) - (vX_[225] * vX_[1542] + vX_[169] * vX_[1374]) - (vX_[217] * (vX_[211] * jac[524] + vX_[210] * jac[523] + vX_[248] * jac[522] + vX_[208] * jac[527] + vX_[1615] * jac[526]) + vX_[943] * vX_[193]) - (vX_[201] * vX_[1083] + vX_[526] * vX_[243]) - vX_[925] * vX_[173]) / vX_[203];
+ vX_[169] = -1 * vX_[1];
+ vX_[902] = -1 * vX_[1214];
+ vX_[143] = vX_[143] + jac[534];
+ vX_[526] = vX_[139] * vX_[1542] + vX_[1079] * vX_[1083] + vX_[790] * vX_[1];
+ vX_[2] = vX_[139] * vX_[1374] + vX_[1079] * vX_[243] + vX_[790] * vX_[1214] + vX_[2];
+ vX_[1083] = vX_[159] * vX_[1542] + vX_[139] * vX_[1083] + vX_[177] * vX_[1];
+ vX_[243] = vX_[159] * vX_[1374] + vX_[139] * vX_[243] + vX_[177] * vX_[1214] + vX_[4];
+ vX_[927] = (vX_[952] - vX_[156] * vX_[902] - 2.1e-05 * (vX_[139] * vX_[927] + vX_[160] * vX_[1672] + vX_[850]) - -0.000102 * (vX_[159] * vX_[927] + vX_[139] * vX_[1672] + vX_[961]) - vX_[154] * vX_[2] - vX_[164] * vX_[243]) / vX_[156];
+ jac[535] = (vX_[946] - (vX_[156] * vX_[169] + vX_[1159] * vX_[902]) - 2.1e-05 * (vX_[139] * vX_[143] + vX_[160] * vX_[176]) - -0.000102 * (vX_[159] * vX_[143] + vX_[139] * vX_[176]) - (vX_[154] * vX_[526] + vX_[947] * vX_[2]) - (vX_[164] * vX_[1083] + vX_[950] * vX_[243]) - vX_[927] * vX_[1159]) / vX_[156];
+ vX_[169] = vX_[169] + jac[535];
+ vX_[927] = vX_[902] + vX_[927];
+ jac[536] = (vX_[1002] - 0.110125 * (vX_[142] * vX_[526] + vX_[215] * vX_[2] + vX_[1037] * vX_[1083] + vX_[257] * vX_[243] + vX_[1034] * vX_[169] + vX_[292] * vX_[927] + vX_[1255]) - 0.000881 * (vX_[140] * vX_[526] + vX_[1001] * vX_[2] + vX_[142] * vX_[1083] + vX_[215] * vX_[243] + vX_[141] * vX_[169] + vX_[184] * vX_[927] + vX_[221]) - 0.026181 * vX_[169]) / 0.026181;
+ vX_[927] = vX_[96] * jac[524] + vX_[26] * jac[523];
+ vX_[169] = vX_[98] * jac[524] + vX_[96] * jac[523];
+ vX_[243] = 0.207 * jac[524] + jac[525];
+ vX_[1083] = vX_[834] * jac[524] + vX_[1569] * jac[523] + vX_[95] * jac[522] + vX_[1667] * jac[527] + vX_[96] * jac[526];
+ jac[537] = (0 - vX_[92] * jac[522] - vX_[128] * vX_[927] - vX_[87] * vX_[169] - vX_[113] * vX_[243] - vX_[105] * (vX_[99] * jac[524] + vX_[97] * jac[523] + vX_[136] * jac[522] + vX_[96] * jac[527] + vX_[26] * jac[526]) - vX_[90] * vX_[1083]) / vX_[92];
+ vX_[2] = jac[522] + jac[537];
+ vX_[526] = vX_[746] * vX_[243] + vX_[835] * vX_[1083] + vX_[789] * vX_[927];
+ vX_[1083] = vX_[613] * vX_[243] + vX_[13] * vX_[1083] + vX_[67] * vX_[927];
+ jac[538] = (0 - vX_[42] * vX_[927] - vX_[49] * (vX_[65] * vX_[2] + vX_[46] * vX_[169]) - vX_[30] * (vX_[46] * vX_[2] + vX_[13] * vX_[169]) - vX_[40] * vX_[526] - vX_[53] * vX_[1083]) / vX_[42];
+ vX_[927] = vX_[927] + jac[538];
+ jac[539] = (0 - 0.1104774 * (vX_[15] * vX_[526] + vX_[791] * vX_[1083] + vX_[766] * vX_[927]) - 0.0004405 * (vX_[23] * vX_[526] + vX_[15] * vX_[1083] + vX_[25] * vX_[927]) - 0.026181 * vX_[927]) / 0.026181;
+ vX_[927] = -1 * sin(x_in[15]);
+ vX_[1083] = cos(x_in[15]);
+ vX_[526] = vX_[927] * x_in[19] + vX_[1083] * x_in[20];
+ vX_[2] = -0.3735 * vX_[927];
+ vX_[169] = 0.3735 * vX_[1083];
+ vX_[243] = -0.207 * vX_[1083];
+ vX_[1002] = vX_[2] * x_in[20] + vX_[169] * x_in[19] + vX_[243] * x_in[18] + vX_[1083] * x_in[23] + vX_[927] * x_in[22];
+ vX_[221] = vX_[526] * vX_[1106] - vX_[892] * vX_[1002];
+ vX_[292] = vX_[526] * vX_[892];
+ vX_[257] = - vX_[927];
+ vX_[1255] = vX_[1083] * x_in[19] + vX_[257] * x_in[20];
+ vX_[184] = vX_[1148] * vX_[1255] + vX_[1255] * vX_[1148];
+ vX_[1001] = -0.3735 * vX_[1083];
+ vX_[215] = -0.3735 * vX_[927];
+ vX_[902] = 0.207 * vX_[927];
+ vX_[143] = - vX_[927];
+ vX_[176] = vX_[1001] * x_in[20] + vX_[215] * x_in[19] + vX_[902] * x_in[18] + vX_[143] * x_in[23] + vX_[1083] * x_in[22];
+ vX_[946] = vX_[13] * vX_[176] + vX_[67] * vX_[526];
+ vX_[950] = vX_[625] * vX_[946] + vX_[526] * vX_[976];
+ vX_[1159] = vX_[13] * vX_[1255];
+ vX_[947] = vX_[1199] * vX_[1002] + vX_[1159] * vX_[909];
+ vX_[1672] = vX_[46] * vX_[1255];
+ vX_[952] = vX_[1199] * vX_[1672] + vX_[1159] * vX_[1661];
+ vX_[961] = vX_[1199] * vX_[526] + vX_[1159] * vX_[625];
+ vX_[850] = vX_[835] * vX_[176] + vX_[789] * vX_[526];
+ vX_[1374] = vX_[23] * vX_[850] + vX_[15] * vX_[946] + vX_[25] * vX_[526];
+ vX_[1214] = vX_[855] * vX_[1374] + vX_[526] * vX_[960];
+ vX_[4] = -0.35 * vX_[1672] + vX_[1002];
+ vX_[1542] = vX_[15] * vX_[1159] + vX_[23] * vX_[1672];
+ vX_[1] = vX_[621] * vX_[4] + vX_[1542] * vX_[997];
+ vX_[943] = vX_[20] * vX_[1159] + vX_[15] * vX_[1672];
+ vX_[178] = vX_[621] * vX_[943] + vX_[1542] * vX_[1211];
+ vX_[715] = vX_[713] * (0.33 * vX_[927] * vX_[715] * vX_[630] - 0.33 * vX_[927] * vX_[13] * vX_[15] - 0.35 * vX_[927] * vX_[13] - 0.08 * vX_[927]) + vX_[725] * (0.33 * vX_[1083] * vX_[13] * vX_[15] + -0.33 * vX_[1083] * vX_[715] * vX_[630] + 0.35 * vX_[1083] * vX_[13] + 0.08 * vX_[1083]);
+ vX_[173] = ((- vX_[739]) * 100. * vX_[715] * vX_[737]) / vX_[738];
+ vX_[157] = 0.33 * vX_[927];
+ vX_[925] = 0.33 * vX_[1083] * vX_[13] * vX_[15] + -0.33 * vX_[1083] * vX_[45] * vX_[630] + 0.35 * vX_[1083] * vX_[13] + 0.08 * vX_[1083];
+ vX_[157] = (vX_[157] * vX_[13] * vX_[630] + 0.33 * vX_[927] * vX_[45] * vX_[15]) * x_in[35] + (vX_[157] * vX_[45] * vX_[15] + 0.33 * vX_[927] * vX_[13] * vX_[630] + 0.35 * vX_[927] * vX_[45]) * x_in[34] + (0.33 * vX_[1083] * vX_[13] * vX_[15] + -0.33 * vX_[1083] * vX_[45] * vX_[630] + 0.35 * vX_[1083] * vX_[13] + 0.08 * vX_[1083]) * x_in[33] + x_in[18] * vX_[925];
+ vX_[193] = 0.33 * vX_[927] * vX_[45] * vX_[630] - 0.33 * vX_[927] * vX_[13] * vX_[15] - 0.35 * vX_[927] * vX_[13] - 0.08 * vX_[927];
+ vX_[485] = (-0.33 * vX_[1083] * vX_[13] * vX_[630] - 0.33 * vX_[1083] * vX_[45] * vX_[15]) * x_in[35] + (-0.33 * vX_[1083] * vX_[13] * vX_[630] - 0.33 * vX_[1083] * vX_[45] * vX_[15] - 0.35 * vX_[1083] * vX_[45]) * x_in[34] + (0.33 * vX_[927] * vX_[13] * vX_[15] + -0.33 * vX_[927] * vX_[45] * vX_[630] + 0.35 * vX_[927] * vX_[13] + 0.08 * vX_[927]) * x_in[33] - x_in[18] * vX_[193];
+ vX_[193] = x_in[19] * vX_[193] - x_in[20] * vX_[925];
+ vX_[715] = vX_[697] * vX_[173] + -1000. * (vX_[627] * vX_[157] + vX_[662] * vX_[485] + vX_[689] * vX_[193]) * vX_[739] + 5000. * -100. * vX_[715] * vX_[736];
+ vX_[925] = vX_[761] * vX_[173] + -1000. * (vX_[661] * vX_[157] + vX_[626] * vX_[485] + vX_[760] * vX_[193]) * vX_[739];
+ vX_[193] = vX_[623] * vX_[173] + -1000. * (vX_[688] * vX_[157] + vX_[759] * vX_[485] + vX_[659] * vX_[193]) * vX_[739];
+ vX_[485] = vX_[609] * vX_[715] + vX_[757] * vX_[925] + vX_[762] * vX_[193];
+ vX_[157] = vX_[768] * vX_[715] + vX_[706] * vX_[925] + vX_[755] * vX_[193];
+ vX_[173] = 0.33 * vX_[1083] * vX_[13] * vX_[15] + -0.33 * vX_[1083] * vX_[45] * vX_[23] + 0.35 * vX_[1083] * vX_[13] + 0.08 * vX_[1083];
+ vX_[144] = vX_[587] * vX_[485] - (vX_[765] * vX_[157] + vX_[173] * vX_[858]);
+ vX_[170] = 0.33 * vX_[927] * vX_[45] * vX_[23] - 0.33 * vX_[927] * vX_[13] * vX_[15] - 0.35 * vX_[927] * vX_[13] - 0.08 * vX_[927];
+ vX_[193] = vX_[618] * vX_[715] + vX_[608] * vX_[925] + vX_[767] * vX_[193];
+ vX_[925] = vX_[771] * vX_[157] + vX_[170] * vX_[858] - vX_[587] * vX_[193];
+ vX_[715] = vX_[15] * vX_[850] + vX_[791] * vX_[946] + vX_[766] * vX_[526];
+ vX_[4] = vX_[1211] * vX_[4] + vX_[943] * vX_[997] - (vX_[855] * vX_[715] + vX_[526] * vX_[857]);
+ vX_[171] = 0.1104774 * (vX_[1214] - vX_[1]) + 0.025941 * vX_[178] - (vX_[96] * vX_[144] + vX_[1083] * vX_[851]) - (vX_[26] * vX_[925] + vX_[927] * vX_[743]) - (vX_[610] * vX_[193] + (-0.35 * vX_[927] * vX_[45] - 0.3735 * vX_[927]) * vX_[741]) - (vX_[742] * vX_[485] + (0.35 * vX_[1083] * vX_[45] + 0.3735 * vX_[1083]) * vX_[908]) - (vX_[749] * vX_[157] + (0 - 0.207 * vX_[1083]) * vX_[858]) - -0.0004405 * vX_[4];
+ vX_[996] = 0 - vX_[171];
+ vX_[195] = vX_[1211] * vX_[526] + vX_[943] * vX_[855];
+ vX_[989] = (- vX_[1374]) * x_in[35];
+ vX_[186] = vX_[715] * x_in[35];
+ vX_[185] = vX_[943] * x_in[35];
+ vX_[212] = vX_[927] * vX_[13];
+ vX_[1355] = vX_[927] * vX_[45];
+ vX_[958] = vX_[212] * vX_[23] + vX_[1355] * vX_[15];
+ vX_[1092] = vX_[1083] * vX_[45];
+ vX_[1019] = vX_[1092] * vX_[15];
+ vX_[589] = vX_[855] * vX_[526] + vX_[526] * vX_[855];
+ vX_[1448] = vX_[621] * vX_[1542] + vX_[1542] * vX_[621];
+ vX_[515] = -0.881 * (vX_[1] - vX_[1214]) + 0.1104774 * vX_[178] + 8.81e-05 * vX_[195] + 0.414812462825713 * vX_[989] + -0.00185880198235362 * vX_[186] + -8.81e-05 * vX_[185] + (0.1104774 * vX_[996]) / 0.026181 - (vX_[772] * vX_[193] + vX_[958] * vX_[741]) - (vX_[777] * vX_[485] + ((- vX_[1083]) * vX_[13] * vX_[23] - vX_[1019]) * vX_[908]) - vX_[778] * vX_[157] - -0.0004405 * (vX_[589] + vX_[1448]);
+ vX_[174] = vX_[621] * vX_[526] + vX_[1542] * vX_[855];
+ vX_[226] = (- vX_[1542]) * x_in[35];
+ vX_[212] = vX_[212] * vX_[15];
+ vX_[1092] = vX_[1083] * vX_[13] * vX_[15] - vX_[1092] * vX_[23];
+ vX_[1333] = vX_[1211] * vX_[943] + vX_[943] * vX_[1211];
+ vX_[589] = 0.881 * vX_[4] + 8.81e-05 * vX_[174] + -0.0004405 * vX_[178] + -0.00185880198235362 * vX_[989] + 0.880992588508842 * vX_[186] + 8.81e-05 * vX_[226] + (0.0004405 * vX_[996]) / 0.026181 - (vX_[781] * vX_[193] + (vX_[1355] * vX_[23] - vX_[212]) * vX_[741]) - (vX_[783] * vX_[485] + vX_[1092] * vX_[908]) - vX_[786] * vX_[157] - 0.1104774 * (vX_[589] + vX_[1333]);
+ vX_[178] = vX_[1661] * vX_[1002] + vX_[1672] * vX_[909] - (vX_[625] * vX_[850] + vX_[526] * vX_[859]);
+ vX_[172] = vX_[1661] * vX_[526] + vX_[1672] * vX_[625];
+ vX_[148] = vX_[1661] * vX_[1672] + vX_[1672] * vX_[1661];
+ vX_[944] = vX_[1199] * vX_[1159] + vX_[1159] * vX_[1199];
+ vX_[171] = 0.47422804 * (vX_[950] - vX_[947]) + 0.081641 * vX_[952] + 2.1e-05 * vX_[961] + (0.026181 * vX_[996]) / 0.026181 + vX_[171] + vX_[766] * vX_[515] + vX_[25] * vX_[589] - 0.0825825 * vX_[178] - -0.000102 * vX_[172] - -0.007418 * (vX_[148] - vX_[944]);
+ vX_[1011] = 0 - vX_[171];
+ vX_[919] = (- vX_[1159]) * x_in[34];
+ vX_[218] = vX_[1672] * x_in[34];
+ vX_[1022] = (- vX_[946]) * x_in[34];
+ vX_[930] = vX_[850] * x_in[34];
+ vX_[1031] = vX_[625] * vX_[526] + vX_[526] * vX_[625];
+ vX_[947] = -3.146 * (vX_[947] - vX_[950]) + 0.47422804 * vX_[952] + vX_[15] * vX_[515] + vX_[23] * vX_[589] + vX_[50] * vX_[919] + vX_[44] * vX_[218] + vX_[76] * vX_[1022] + vX_[78] * vX_[930] + (vX_[40] * vX_[1011]) / vX_[42] - 0.0825825 * (vX_[1031] + vX_[944]);
+ vX_[178] = 3.146 * vX_[178] + 0.0825825 * vX_[952] + vX_[791] * vX_[515] + vX_[15] * vX_[589] + vX_[56] * vX_[919] + vX_[55] * vX_[218] + vX_[78] * vX_[1022] + vX_[77] * vX_[930] + (vX_[53] * vX_[1011]) / vX_[42] - 0.47422804 * (vX_[1031] + vX_[148]);
+ vX_[589] = (- vX_[1255]) * x_in[33];
+ vX_[515] = vX_[526] * x_in[33];
+ vX_[950] = (- vX_[176]) * x_in[33];
+ vX_[238] = vX_[1002] * x_in[33];
+ vX_[149] = vX_[1148] * vX_[526] + vX_[1255] * vX_[1113];
+ vX_[1596] = vX_[892] * vX_[176];
+ vX_[165] = vX_[1255] * vX_[1106];
+ vX_[872] = vX_[1255] * vX_[892];
+ vX_[170] = vX_[765] * vX_[193] + vX_[173] * vX_[741] - (vX_[771] * vX_[485] + vX_[170] * vX_[908]);
+ vX_[715] = vX_[621] * vX_[715] + vX_[1542] * vX_[857] - (vX_[1211] * vX_[1374] + vX_[943] * vX_[960]);
+ vX_[1019] = 8.81e-05 * vX_[4] + 8.81e-05 * vX_[186] + 0.026409 * vX_[226] - (vX_[772] * vX_[144] + vX_[958] * vX_[851]) - (vX_[776] * vX_[925] + ((- vX_[1083]) * vX_[13] * vX_[23] - vX_[1019]) * vX_[743]) - vX_[778] * vX_[170] - (vX_[800] * vX_[193] + (((- 0.08 * vX_[1083]) * vX_[45] + 0.3735 * vX_[1083] * vX_[13]) * vX_[23] + (0.08 * vX_[1083] * vX_[13] + 0.3735 * vX_[1083] * vX_[45] + 0.35 * vX_[1083]) * vX_[15]) * vX_[741]) - (vX_[807] * vX_[485] + ((0.3735 * vX_[927] * vX_[13] - 0.08 * vX_[927] * vX_[45]) * vX_[23] + (0.08 * vX_[927] * vX_[13] + 0.3735 * vX_[927] * vX_[45] + 0.35 * vX_[927]) * vX_[15]) * vX_[908]) - (vX_[812] * vX_[157] + (-0.207 * vX_[927] * vX_[13] * vX_[23] - 0.207 * vX_[927] * vX_[45] * vX_[15]) * vX_[858]) - 0.1104774 * vX_[715] - 0.025713 * vX_[174];
+ vX_[170] = -0.0004405 * vX_[715] + 8.81e-05 * (vX_[1] - vX_[1214]) + -0.000227999999999999 * vX_[195] + -8.81e-05 * vX_[989] + 0.000468 * vX_[185] - (vX_[780] * vX_[144] + (vX_[1355] * vX_[23] - vX_[212]) * vX_[851]) - (vX_[783] * vX_[925] + vX_[1092] * vX_[743]) - vX_[785] * vX_[170] - (vX_[821] * vX_[193] + ((0.08 * vX_[1083] * vX_[13] + 0.3735 * vX_[1083] * vX_[45] + 0.35 * vX_[1083]) * vX_[23] + (0.08 * vX_[1083] * vX_[45] - 0.3735 * vX_[1083] * vX_[13]) * vX_[15]) * vX_[741]) - (vX_[828] * vX_[485] + ((0.08 * vX_[927] * vX_[13] + 0.3735 * vX_[927] * vX_[45] + 0.35 * vX_[927]) * vX_[23] + (0.08 * vX_[927] * vX_[45] - 0.3735 * vX_[927] * vX_[13]) * vX_[15]) * vX_[908]) - (vX_[833] * vX_[157] + (0.207 * vX_[927] * vX_[13] * vX_[15] - 0.207 * vX_[927] * vX_[45] * vX_[23]) * vX_[858]);
+ vX_[715] = 0.881 * vX_[715] + 0.1104774 * vX_[174] + -0.0004405 * vX_[195] + -0.1104774 * vX_[226] + -0.0004405 * vX_[185] - (vX_[96] * vX_[193] + vX_[1083] * vX_[741]) - (vX_[26] * vX_[485] + vX_[927] * vX_[908]) - 8.81e-05 * (vX_[1333] + vX_[1448]);
+ vX_[850] = vX_[1199] * vX_[850] + vX_[1159] * vX_[859] - (vX_[1661] * vX_[946] + vX_[1672] * vX_[976]);
+ vX_[944] = -0.007418 * vX_[172] + -0.000102 * (vX_[1031] - vX_[944]) + vX_[15] * vX_[1019] + vX_[23] * vX_[170] + -0.35 * vX_[715] + vX_[72] * vX_[919] + vX_[64] * vX_[218] + vX_[50] * vX_[1022] + vX_[56] * vX_[930] + (vX_[49] * vX_[1011]) / vX_[42] - 0.47422804 * vX_[850] - 0.084376 * vX_[961] - 2.1e-05 * vX_[952];
+ vX_[170] = 0.002735 * vX_[172] + 0.0825825 * vX_[850] + -0.000102 * vX_[952] + vX_[20] * vX_[1019] + vX_[15] * vX_[170] + vX_[64] * vX_[919] + vX_[71] * vX_[218] + vX_[44] * vX_[1022] + vX_[55] * vX_[930] + (vX_[30] * vX_[1011]) / vX_[42] - -0.007418 * vX_[961] - 2.1e-05 * (vX_[1031] - vX_[148]);
+ vX_[850] = 0.47422804 * vX_[961] + 3.146 * vX_[850] + 0.0825825 * vX_[172] + vX_[715] + vX_[39] * vX_[919] + vX_[52] * vX_[218];
+ vX_[715] = vX_[1113] * vX_[526] + vX_[526] * vX_[1113];
+ vX_[172] = 0.009466 * vX_[149] + 0.1466472 * (vX_[1596] - vX_[165]) + -5.1e-05 * vX_[872] + vX_[65] * vX_[944] + vX_[46] * vX_[170] + 0.08 * vX_[850] - -0.022734 * vX_[292] - -3.6e-05 * (vX_[715] - vX_[184]);
+ vX_[961] = 0 - vX_[172];
+ vX_[176] = vX_[1148] * vX_[1002] + vX_[1255] * vX_[1210] - (vX_[1113] * vX_[176] + vX_[526] * vX_[1094]);
+ vX_[171] = 0.5824264 * vX_[221] + -3.6e-05 * vX_[292] + -0.022734 * (0 - vX_[184]) + (vX_[42] * vX_[1011]) / vX_[42] + vX_[171] + vX_[789] * vX_[947] + vX_[67] * vX_[178] + vX_[493] * vX_[589] + vX_[548] * vX_[515] + vX_[129] * vX_[950] + vX_[118] * vX_[238] + (vX_[128] * vX_[961]) / vX_[92] - 0.1466472 * vX_[176] - -0.123672 * vX_[872] - -5.1e-05 * vX_[149];
+ vX_[170] = -0.133138 * vX_[292] + 0.5824264 * (vX_[165] - vX_[1596]) + -0.022734 * vX_[149] + vX_[46] * vX_[944] + vX_[13] * vX_[170] + vX_[548] * vX_[589] + vX_[91] * vX_[515] + vX_[119] * vX_[950] + vX_[94] * vX_[238] + (vX_[87] * vX_[961]) / vX_[92] - -3.6e-05 * vX_[872] - -5.1e-05 * (0 - vX_[715]);
+ vX_[176] = 3.44 * vX_[176] + 0.1466472 * vX_[872] + vX_[746] * vX_[947] + vX_[613] * vX_[178] + vX_[104] * vX_[589] + vX_[81] * vX_[515] + vX_[122] * vX_[950] + vX_[115] * vX_[238] + (vX_[113] * vX_[961]) / vX_[92] - 0.5824264 * (vX_[715] + vX_[184]);
+ vX_[850] = 0.1466472 * vX_[149] + -3.44 * (vX_[165] - vX_[1596]) + 0.5824264 * vX_[292] + vX_[850] + vX_[129] * vX_[589] + vX_[119] * vX_[515] + vX_[121] * vX_[950] + vX_[107] * vX_[238] + (vX_[105] * vX_[961]) / vX_[92];
+ vX_[715] = 3.44 * vX_[221] + 0.5824264 * vX_[872] + vX_[835] * vX_[947] + vX_[13] * vX_[178] + vX_[118] * vX_[589] + vX_[94] * vX_[515] + vX_[107] * vX_[950] + vX_[133] * vX_[238] + (vX_[90] * vX_[961]) / vX_[92] - 0.1466472 * vX_[715];
+ vX_[872] = 0.207 * vX_[1083];
+ vX_[178] = vX_[96] * vX_[169] + vX_[1083] * vX_[97] + vX_[98] * vX_[2] + vX_[257] * vX_[99];
+ vX_[947] = vX_[872] * vX_[132] - vX_[178] * vX_[115];
+ vX_[221] = vX_[872] * vX_[115] - vX_[178] * vX_[133];
+ vX_[165] = vX_[902] * vX_[133] - vX_[872] * vX_[107];
+ vX_[1596] = vX_[902] * vX_[107] - vX_[872] * vX_[121];
+ vX_[497] = vX_[496] * vX_[902] + vX_[165] * vX_[95] - (vX_[497] * vX_[872] + vX_[1596] * vX_[120]);
+ vX_[495] = vX_[491] * vX_[872] + vX_[494] * vX_[872] + vX_[947] * vX_[120] - vX_[495] * vX_[178] - (vX_[134] * vX_[178] + vX_[221] * vX_[100]) - vX_[497];
+ vX_[494] = vX_[178] * vX_[121] - vX_[902] * vX_[122];
+ vX_[132] = vX_[178] * vX_[122] - vX_[902] * vX_[132];
+ vX_[502] = vX_[500] * vX_[178] + vX_[123] * vX_[178] + vX_[494] * vX_[100] - vX_[502] * vX_[902] - (vX_[503] * vX_[902] + vX_[132] * vX_[95]) - vX_[497];
+ vX_[500] = vX_[178] * vX_[107];
+ vX_[491] = vX_[902] * vX_[115];
+ vX_[496] = vX_[500] - vX_[491];
+ vX_[178] = vX_[129] * vX_[178] + vX_[81] * vX_[872] + vX_[503] * vX_[872] + vX_[132] * vX_[120] - vX_[94] * vX_[178] - vX_[104] * vX_[902] - (vX_[117] * vX_[178] + vX_[496] * vX_[100]);
+ vX_[503] = vX_[96] * vX_[178] + vX_[1083] * vX_[549];
+ vX_[552] = vX_[550] * vX_[1083] + (vX_[96] * vX_[502] + vX_[1083] * vX_[504] + vX_[26] * vX_[178] + vX_[927] * vX_[549]) * vX_[96] + vX_[552] * vX_[927] + (vX_[503] + vX_[26] * vX_[495] + vX_[927] * vX_[499]) * vX_[26];
+ vX_[503] = vX_[98] * vX_[502] + vX_[257] * vX_[504] + vX_[503];
+ vX_[178] = vX_[98] * vX_[178] + vX_[257] * vX_[549] + vX_[96] * vX_[495] + vX_[1083] * vX_[499];
+ vX_[549] = vX_[551] * vX_[257] + vX_[503] * vX_[98] + vX_[554] * vX_[1083] + vX_[178] * vX_[96];
+ vX_[502] = vX_[495] + vX_[502] + vX_[497] - vX_[552] - vX_[549];
+ vX_[172] = ((vX_[92] * vX_[961]) / vX_[92] + vX_[172] + vX_[136] * vX_[850] + vX_[243] * vX_[977] + vX_[95] * vX_[715] + vX_[902] * vX_[1200] - vX_[1518] * vX_[502]) / vX_[583];
+ vX_[495] = vX_[872] * vX_[122];
+ vX_[500] = vX_[495] - vX_[500];
+ vX_[134] = vX_[129] * vX_[872] + vX_[108] * vX_[872] + vX_[500] * vX_[120] - vX_[118] * vX_[902] - (vX_[134] * vX_[902] + vX_[221] * vX_[95]);
+ vX_[872] = vX_[94] * vX_[902] + vX_[117] * vX_[902] + vX_[496] * vX_[95] - vX_[119] * vX_[872] - (vX_[123] * vX_[872] + vX_[494] * vX_[120]);
+ vX_[123] = vX_[98] * vX_[134] + vX_[257] * vX_[135] + vX_[96] * vX_[872] + vX_[1083] * vX_[124];
+ vX_[117] = (vX_[123] - vX_[1567] * vX_[502]) / vX_[583];
+ vX_[552] = vX_[497] + vX_[552] - (vX_[1566] * vX_[117] + vX_[123] * vX_[1567]);
+ vX_[108] = (vX_[26] * vX_[171] + vX_[927] * vX_[735] + vX_[96] * vX_[170] + vX_[1083] * vX_[607] + vX_[97] * vX_[850] + vX_[169] * vX_[977] + vX_[1569] * vX_[715] + vX_[215] * vX_[1200] - (vX_[1566] * vX_[172] + vX_[123] * vX_[1518]) - vX_[1677] * vX_[552]) / vX_[580];
+ vX_[178] = vX_[551] * vX_[1083] + vX_[503] * vX_[96] + vX_[554] * vX_[927] + vX_[178] * vX_[26];
+ vX_[872] = 0 - (vX_[26] * vX_[872] + vX_[927] * vX_[124]) - (vX_[96] * vX_[134] + vX_[1083] * vX_[135]);
+ vX_[134] = vX_[178] - (vX_[490] * vX_[117] + vX_[872] * vX_[1567]);
+ vX_[135] = (vX_[872] - vX_[584] * vX_[502]) / vX_[583];
+ vX_[178] = (vX_[178] - (vX_[1566] * vX_[135] + vX_[123] * vX_[584]) - vX_[1565] * vX_[552]) / vX_[580];
+ vX_[549] = vX_[497] + vX_[549] - (vX_[1568] * vX_[178] + vX_[134] * vX_[1565]) - (vX_[490] * vX_[135] + vX_[872] * vX_[584]);
+ vX_[170] = (vX_[96] * vX_[171] + vX_[1083] * vX_[735] + vX_[98] * vX_[170] + vX_[257] * vX_[607] + 0.207 * vX_[176] + vX_[99] * vX_[850] + vX_[2] * vX_[977] + vX_[834] * vX_[715] + vX_[1001] * vX_[1200] - (vX_[1568] * vX_[108] + vX_[134] * vX_[1677]) - (vX_[490] * vX_[172] + vX_[872] * vX_[1518]) - vX_[1201] * vX_[549]) / vX_[582];
+ vX_[495] = vX_[491] - vX_[495];
+ vX_[500] = vX_[500] - vX_[495];
+ vX_[491] = vX_[96] * vX_[494] + vX_[1083] * vX_[1239] + vX_[26] * vX_[500] + vX_[927] * vX_[1038];
+ vX_[496] = vX_[496] - vX_[495];
+ vX_[171] = vX_[96] * vX_[496] + vX_[1083] * vX_[116] + vX_[26] * vX_[221] + vX_[927] * vX_[1486];
+ vX_[607] = vX_[1579] * vX_[927] + vX_[491] * vX_[26] + vX_[1580] * vX_[1083] + vX_[171] * vX_[96] + vX_[495];
+ vX_[1596] = vX_[1596] + vX_[947];
+ vX_[165] = vX_[165] + vX_[132];
+ vX_[947] = - vX_[947];
+ vX_[735] = vX_[98] * vX_[947] + vX_[257] * vX_[1588] + vX_[96] * vX_[132] + vX_[1083] * vX_[1590];
+ vX_[497] = vX_[1589] * vX_[927] + vX_[1596] * vX_[26] + vX_[1591] * vX_[1083] + vX_[165] * vX_[96] - vX_[735];
+ vX_[124] = vX_[607] - (vX_[1611] * vX_[117] + vX_[497] * vX_[1567]);
+ vX_[496] = vX_[98] * vX_[496] + vX_[257] * vX_[116] + vX_[96] * vX_[221] + vX_[1083] * vX_[1486];
+ vX_[500] = vX_[98] * vX_[494] + vX_[257] * vX_[1239] + vX_[96] * vX_[500] + vX_[1083] * vX_[1038];
+ vX_[494] = vX_[1278] * vX_[1083] + vX_[496] * vX_[96] + vX_[1003] * vX_[927] + vX_[500] * vX_[26];
+ vX_[1038] = vX_[494] - (vX_[1587] * vX_[178] + vX_[124] * vX_[1565]) - (vX_[1611] * vX_[135] + vX_[497] * vX_[584]);
+ vX_[1239] = vX_[735] - (vX_[1630] * vX_[117] + vX_[495] * vX_[1567]);
+ vX_[947] = vX_[96] * vX_[947] + vX_[1083] * vX_[1588] + vX_[26] * vX_[132] + vX_[927] * vX_[1590];
+ vX_[132] = - vX_[947];
+ vX_[1588] = vX_[132] - (vX_[1610] * vX_[178] + vX_[1239] * vX_[1565]) - (vX_[1630] * vX_[135] + vX_[495] * vX_[584]);
+ vX_[1590] = vX_[1083] * vX_[107];
+ vX_[1635] = vX_[1633] * vX_[1083] + (vX_[1083] * vX_[1623] + vX_[927] * vX_[107]) * vX_[96] + vX_[1635] * vX_[927] + (vX_[1590] + vX_[927] * vX_[1625]) * vX_[26];
+ vX_[1590] = vX_[257] * vX_[1623] + vX_[1590];
+ vX_[1625] = vX_[257] * vX_[107] + vX_[1083] * vX_[1625];
+ vX_[1623] = vX_[1634] * vX_[257] + vX_[1590] * vX_[98] + vX_[1637] * vX_[1083] + vX_[1625] * vX_[96];
+ vX_[1633] = (vX_[495] - vX_[1593] * vX_[502]) / vX_[583];
+ vX_[735] = (vX_[735] - (vX_[1566] * vX_[1633] + vX_[123] * vX_[1593]) - vX_[1619] * vX_[552]) / vX_[580];
+ vX_[132] = (vX_[132] - (vX_[1568] * vX_[735] + vX_[134] * vX_[1619]) - (vX_[490] * vX_[1633] + vX_[872] * vX_[1593]) - vX_[1628] * vX_[549]) / vX_[582];
+ vX_[221] = 0 - vX_[1635] - vX_[1623] - (vX_[1610] * vX_[735] + vX_[1239] * vX_[1619]) - (vX_[1630] * vX_[1633] + vX_[495] * vX_[1593]) - (vX_[1627] * vX_[132] + vX_[1588] * vX_[1628]);
+ vX_[176] = (vX_[176] - (vX_[1610] * vX_[108] + vX_[1239] * vX_[1677]) - (vX_[1630] * vX_[172] + vX_[495] * vX_[1518]) - (vX_[1627] * vX_[170] + vX_[1588] * vX_[1201]) - vX_[1110] * vX_[221]) / vX_[1657];
+ vX_[1486] = vX_[257] * vX_[793] + vX_[1083] * vX_[115];
+ vX_[116] = vX_[1486] - (vX_[1587] * vX_[735] + vX_[124] * vX_[1619]) - (vX_[1611] * vX_[1633] + vX_[497] * vX_[1593]) - (vX_[1575] * vX_[132] + vX_[1038] * vX_[1628]);
+ vX_[503] = (vX_[497] - vX_[1612] * vX_[502]) / vX_[583];
+ vX_[607] = (vX_[607] - (vX_[1566] * vX_[503] + vX_[123] * vX_[1612]) - vX_[1613] * vX_[552]) / vX_[580];
+ vX_[494] = (vX_[494] - (vX_[1568] * vX_[607] + vX_[134] * vX_[1613]) - (vX_[490] * vX_[503] + vX_[872] * vX_[1612]) - vX_[1614] * vX_[549]) / vX_[582];
+ vX_[1486] = (vX_[1486] - (vX_[1610] * vX_[607] + vX_[1239] * vX_[1613]) - (vX_[1630] * vX_[503] + vX_[495] * vX_[1612]) - (vX_[1627] * vX_[494] + vX_[1588] * vX_[1614]) - vX_[1599] * vX_[221]) / vX_[1657];
+ vX_[1635] = vX_[1635] - (vX_[1587] * vX_[607] + vX_[124] * vX_[1613]) - (vX_[1611] * vX_[503] + vX_[497] * vX_[1612]) - (vX_[1575] * vX_[494] + vX_[1038] * vX_[1614]) - (vX_[1629] * vX_[1486] + vX_[116] * vX_[1599]);
+ vX_[554] = (vX_[26] * vX_[850] + vX_[927] * vX_[977] + vX_[96] * vX_[715] + vX_[1083] * vX_[1200] - (vX_[1587] * vX_[108] + vX_[124] * vX_[1677]) - (vX_[1611] * vX_[172] + vX_[497] * vX_[1518]) - (vX_[1575] * vX_[170] + vX_[1038] * vX_[1201]) - (vX_[1629] * vX_[176] + vX_[116] * vX_[1110]) - vX_[1691] * vX_[1635]) / vX_[1654];
+ vX_[171] = vX_[1580] * vX_[257] + vX_[171] * vX_[98] + vX_[1579] * vX_[1083] + vX_[491] * vX_[96];
+ vX_[947] = vX_[1589] * vX_[1083] + vX_[1596] * vX_[96] + vX_[1591] * vX_[257] + vX_[165] * vX_[98] + vX_[947];
+ vX_[165] = vX_[171] - (vX_[1626] * vX_[117] + vX_[947] * vX_[1567]);
+ vX_[500] = vX_[1003] * vX_[1083] + vX_[500] * vX_[96] + vX_[1278] * vX_[257] + vX_[496] * vX_[98] + vX_[495];
+ vX_[496] = vX_[500] - (vX_[748] * vX_[178] + vX_[165] * vX_[1565]) - (vX_[1626] * vX_[135] + vX_[947] * vX_[584]);
+ vX_[793] = 0 - vX_[927] * vX_[115] - vX_[1083] * vX_[793];
+ vX_[1003] = vX_[793] - (vX_[748] * vX_[735] + vX_[165] * vX_[1619]) - (vX_[1626] * vX_[1633] + vX_[947] * vX_[1593]) - (vX_[484] * vX_[132] + vX_[496] * vX_[1628]);
+ vX_[1625] = vX_[1634] * vX_[1083] + vX_[1590] * vX_[96] + vX_[1637] * vX_[927] + vX_[1625] * vX_[26];
+ vX_[1590] = vX_[1625] - (vX_[748] * vX_[607] + vX_[165] * vX_[1613]) - (vX_[1626] * vX_[503] + vX_[947] * vX_[1612]) - (vX_[484] * vX_[494] + vX_[496] * vX_[1614]) - (vX_[1664] * vX_[1486] + vX_[1003] * vX_[1599]);
+ vX_[502] = (vX_[947] - vX_[1658] * vX_[502]) / vX_[583];
+ vX_[171] = (vX_[171] - (vX_[1566] * vX_[502] + vX_[123] * vX_[1658]) - vX_[1659] * vX_[552]) / vX_[580];
+ vX_[500] = (vX_[500] - (vX_[1568] * vX_[171] + vX_[134] * vX_[1659]) - (vX_[490] * vX_[502] + vX_[872] * vX_[1658]) - vX_[1660] * vX_[549]) / vX_[582];
+ vX_[793] = (vX_[793] - (vX_[1610] * vX_[171] + vX_[1239] * vX_[1659]) - (vX_[1630] * vX_[502] + vX_[495] * vX_[1658]) - (vX_[1627] * vX_[500] + vX_[1588] * vX_[1660]) - vX_[1665] * vX_[221]) / vX_[1657];
+ vX_[1625] = (vX_[1625] - (vX_[1587] * vX_[171] + vX_[124] * vX_[1659]) - (vX_[1611] * vX_[502] + vX_[497] * vX_[1658]) - (vX_[1575] * vX_[500] + vX_[1038] * vX_[1660]) - (vX_[1629] * vX_[793] + vX_[116] * vX_[1665]) - vX_[1666] * vX_[1635]) / vX_[1654];
+ vX_[1590] = (vX_[96] * vX_[850] + vX_[1083] * vX_[977] + vX_[1667] * vX_[715] + vX_[143] * vX_[1200] - (vX_[748] * vX_[108] + vX_[165] * vX_[1677]) - (vX_[1626] * vX_[172] + vX_[947] * vX_[1518]) - (vX_[484] * vX_[170] + vX_[496] * vX_[1201]) - (vX_[1664] * vX_[176] + vX_[1003] * vX_[1110]) - (vX_[1584] * vX_[554] + vX_[1590] * vX_[1691]) - vX_[471] * (vX_[1623] - (vX_[748] * vX_[171] + vX_[165] * vX_[1659]) - (vX_[1626] * vX_[502] + vX_[947] * vX_[1658]) - (vX_[484] * vX_[500] + vX_[496] * vX_[1660]) - (vX_[1664] * vX_[793] + vX_[1003] * vX_[1665]) - (vX_[1584] * vX_[1625] + vX_[1590] * vX_[1666]))) / vX_[1656];
+ jac[563] = - vX_[1590];
+ vX_[1625] = vX_[554] - (vX_[1666] * vX_[1590] + vX_[1625] * vX_[471]);
+ jac[562] = - vX_[1625];
+ vX_[793] = vX_[176] - (vX_[1665] * vX_[1590] + vX_[793] * vX_[471]) - (vX_[1599] * vX_[1625] + vX_[1486] * vX_[1353]);
+ jac[561] = - vX_[793];
+ vX_[500] = vX_[170] - (vX_[1614] * vX_[1625] + vX_[494] * vX_[1353]) - (vX_[1628] * vX_[793] + vX_[132] * vX_[546]) - (vX_[1660] * vX_[1590] + vX_[500] * vX_[471]);
+ jac[560] = - vX_[500];
+ vX_[171] = vX_[108] - (vX_[1619] * vX_[793] + vX_[735] * vX_[546]) - (vX_[1565] * vX_[500] + vX_[178] * vX_[536]) - (vX_[1613] * vX_[1625] + vX_[607] * vX_[1353]) - (vX_[1659] * vX_[1590] + vX_[171] * vX_[471]);
+ jac[558] = vX_[584] * vX_[500] + vX_[135] * vX_[536] + vX_[1567] * vX_[171] + vX_[117] * vX_[1338] + vX_[1593] * vX_[793] + vX_[1633] * vX_[546] + vX_[1612] * vX_[1625] + vX_[503] * vX_[1353] + vX_[1658] * vX_[1590] + vX_[502] * vX_[471] - vX_[172];
+ jac[559] = - vX_[171];
+ vX_[171] = -1 * jac[558];
+ vX_[500] = vX_[450] * jac[560] + vX_[370] * jac[559];
+ vX_[793] = vX_[370] * jac[560] + vX_[451] * jac[559];
+ vX_[1625] = -1 * jac[561];
+ vX_[1590] = 0.207 * jac[560] + vX_[1625];
+ vX_[502] = vX_[1481] * jac[560] + vX_[1572] * jac[559] + vX_[448] * jac[558] + vX_[1670] * jac[563] + vX_[1618] * jac[562];
+ jac[564] = (0 - vX_[445] * vX_[171] - vX_[482] * vX_[500] - vX_[440] * vX_[793] - vX_[467] * vX_[1590] - vX_[459] * (vX_[453] * jac[560] + vX_[452] * jac[559] + vX_[1573] * jac[558] + vX_[450] * jac[563] + vX_[1617] * jac[562]) - vX_[443] * vX_[502]) / vX_[445];
+ vX_[503] = -1 * vX_[500];
+ vX_[1633] = vX_[171] + jac[564];
+ vX_[135] = vX_[371] * vX_[1590] + vX_[1562] * vX_[502] + vX_[1275] * vX_[500];
+ vX_[502] = vX_[398] * vX_[1590] + vX_[371] * vX_[502] + vX_[419] * vX_[500];
+ jac[565] = (0 - vX_[395] * vX_[503] - vX_[402] * (vX_[371] * vX_[1633] + vX_[399] * vX_[793]) - vX_[383] * (vX_[398] * vX_[1633] + vX_[371] * vX_[793]) - vX_[393] * vX_[135] - vX_[406] * vX_[502]) / vX_[395];
+ vX_[503] = vX_[503] + jac[565];
+ jac[566] = (0 - 0.1104774 * (vX_[372] * vX_[135] + vX_[1520] * vX_[502] + vX_[1517] * vX_[503]) - -0.0004405 * (vX_[374] * vX_[135] + vX_[372] * vX_[502] + vX_[377] * vX_[503]) - 0.026181 * vX_[503]) / 0.026181;
+ vX_[503] = vX_[328] * jac[560] + vX_[249] * jac[559];
+ vX_[502] = vX_[330] * jac[560] + vX_[328] * jac[559];
+ vX_[135] = 0.207 * jac[560] + jac[561];
+ vX_[1633] = vX_[1318] * jac[560] + vX_[1571] * jac[559] + vX_[327] * jac[558] + vX_[1669] * jac[563] + vX_[328] * jac[562];
+ jac[567] = (0 - vX_[324] * jac[558] - vX_[360] * vX_[503] - vX_[319] * vX_[502] - vX_[345] * vX_[135] - vX_[337] * (vX_[331] * jac[560] + vX_[329] * jac[559] + vX_[368] * jac[558] + vX_[328] * jac[563] + vX_[249] * jac[562]) - vX_[322] * vX_[1633]) / vX_[324];
+ vX_[793] = jac[558] + jac[567];
+ vX_[1590] = vX_[1229] * vX_[135] + vX_[1319] * vX_[1633] + vX_[1274] * vX_[503];
+ vX_[1633] = vX_[698] * vX_[135] + vX_[250] * vX_[1633] + vX_[299] * vX_[503];
+ jac[568] = (0 - vX_[274] * vX_[503] - vX_[281] * (vX_[297] * vX_[793] + vX_[278] * vX_[502]) - vX_[262] * (vX_[278] * vX_[793] + vX_[250] * vX_[502]) - vX_[272] * vX_[1590] - vX_[285] * vX_[1633]) / vX_[274];
+ vX_[503] = vX_[503] + jac[568];
+ jac[569] = (0 - 0.1104774 * (vX_[251] * vX_[1590] + vX_[1276] * vX_[1633] + vX_[1252] * vX_[503]) - -0.0004405 * (vX_[253] * vX_[1590] + vX_[251] * vX_[1633] + vX_[256] * vX_[503]) - 0.026181 * vX_[503]) / 0.026181;
+ vX_[503] = vX_[208] * jac[560] + vX_[138] * jac[559];
+ vX_[1633] = vX_[138] * jac[560] + vX_[209] * jac[559];
+ vX_[1625] = 0.207 * jac[560] + vX_[1625];
+ vX_[1590] = vX_[998] * jac[560] + vX_[1570] * jac[559] + vX_[206] * jac[558] + vX_[1668] * jac[563] + vX_[1616] * jac[562];
+ jac[570] = (0 - vX_[203] * vX_[171] - vX_[240] * vX_[503] - vX_[198] * vX_[1633] - vX_[225] * vX_[1625] - vX_[217] * (vX_[211] * jac[560] + vX_[210] * jac[559] + vX_[248] * jac[558] + vX_[208] * jac[563] + vX_[1615] * jac[562]) - vX_[201] * vX_[1590]) / vX_[203];
+ vX_[793] = -1 * vX_[503];
+ vX_[171] = vX_[171] + jac[570];
+ vX_[502] = vX_[139] * vX_[1625] + vX_[1079] * vX_[1590] + vX_[790] * vX_[503];
+ vX_[1590] = vX_[159] * vX_[1625] + vX_[139] * vX_[1590] + vX_[177] * vX_[503];
+ jac[571] = (0 - vX_[156] * vX_[793] - 2.1e-05 * (vX_[139] * vX_[171] + vX_[160] * vX_[1633]) - -0.000102 * (vX_[159] * vX_[171] + vX_[139] * vX_[1633]) - vX_[154] * vX_[502] - vX_[164] * vX_[1590]) / vX_[156];
+ vX_[793] = vX_[793] + jac[571];
+ jac[572] = (0 - 0.110125 * (vX_[142] * vX_[502] + vX_[1037] * vX_[1590] + vX_[1034] * vX_[793]) - 0.000881 * (vX_[140] * vX_[502] + vX_[142] * vX_[1590] + vX_[141] * vX_[793]) - 0.026181 * vX_[793]) / 0.026181;
+ vX_[589] = vX_[96] * jac[560] + vX_[1083] * vX_[542] + vX_[26] * jac[559] + vX_[927] * vX_[1605] + vX_[589];
+ vX_[515] = vX_[98] * jac[560] + vX_[257] * vX_[542] + vX_[96] * jac[559] + vX_[1083] * vX_[1605] + vX_[515];
+ vX_[257] = 0.207 * jac[560] + jac[561];
+ vX_[238] = vX_[834] * jac[560] + vX_[1001] * vX_[542] + vX_[1569] * jac[559] + vX_[215] * vX_[1605] + vX_[95] * jac[558] + vX_[902] * vX_[624] + vX_[1667] * jac[563] + vX_[143] * vX_[1632] + vX_[96] * jac[562] + vX_[1083] * vX_[544] + vX_[238];
+ jac[573] = (vX_[961] - vX_[92] * jac[558] - vX_[128] * vX_[589] - vX_[87] * vX_[515] - vX_[113] * vX_[257] - vX_[105] * (vX_[99] * jac[560] + vX_[2] * vX_[542] + vX_[97] * jac[559] + vX_[169] * vX_[1605] + vX_[136] * jac[558] + vX_[243] * vX_[624] + vX_[96] * jac[563] + vX_[1083] * vX_[1632] + vX_[26] * jac[562] + vX_[927] * vX_[544] + vX_[950]) - vX_[90] * vX_[238]) / vX_[92];
+ vX_[961] = jac[558] + jac[573];
+ vX_[1022] = vX_[746] * vX_[257] + vX_[835] * vX_[238] + vX_[789] * vX_[589] + vX_[1022];
+ vX_[238] = vX_[613] * vX_[257] + vX_[13] * vX_[238] + vX_[67] * vX_[589] + vX_[930];
+ jac[574] = (vX_[1011] - vX_[42] * vX_[589] - vX_[49] * (vX_[65] * vX_[961] + vX_[46] * vX_[515] + vX_[919]) - vX_[30] * (vX_[46] * vX_[961] + vX_[13] * vX_[515] + vX_[218]) - vX_[40] * vX_[1022] - vX_[53] * vX_[238]) / vX_[42];
+ vX_[589] = vX_[589] + jac[574];
+ jac[575] = (vX_[996] - 0.1104774 * (vX_[15] * vX_[1022] + vX_[791] * vX_[238] + vX_[766] * vX_[589] + vX_[989]) - 0.0004405 * (vX_[23] * vX_[1022] + vX_[15] * vX_[238] + vX_[25] * vX_[589] + vX_[186]) - 0.026181 * vX_[589]) / 0.026181;
+ vX_[589] = cos(x_in[16]);
+ vX_[238] = - vX_[589];
+ vX_[1022] = -1 * sin(x_in[16]);
+ vX_[186] = 0.08 * vX_[589];
+ vX_[989] = vX_[238] * vX_[1106] + vX_[1022] * vX_[1094] + vX_[186] * vX_[1113];
+ vX_[996] = vX_[625] * vX_[989];
+ vX_[961] = - vX_[589];
+ vX_[515] = vX_[1022] * vX_[1148] + vX_[961] * vX_[892];
+ vX_[218] = vX_[515] * vX_[909];
+ vX_[919] = - vX_[1022];
+ vX_[1011] = vX_[961] * vX_[1148] + vX_[919] * vX_[892];
+ vX_[257] = vX_[1199] * vX_[1011] + vX_[515] * vX_[1661];
+ vX_[930] = vX_[515] * vX_[625];
+ vX_[950] = - vX_[1022];
+ vX_[243] = - vX_[589];
+ vX_[169] = 0.08 * vX_[1022];
+ vX_[2] = vX_[950] * vX_[1106] + vX_[243] * vX_[1094] + vX_[169] * vX_[1113];
+ vX_[1083] = vX_[23] * vX_[2] + vX_[15] * vX_[989];
+ vX_[927] = vX_[855] * vX_[1083];
+ vX_[143] = -0.35 * vX_[1011];
+ vX_[902] = vX_[15] * vX_[515] + vX_[23] * vX_[1011];
+ vX_[215] = vX_[621] * vX_[143] + vX_[902] * vX_[997];
+ vX_[1001] = vX_[20] * vX_[515] + vX_[15] * vX_[1011];
+ vX_[793] = vX_[621] * vX_[1001] + vX_[902] * vX_[1211];
+ vX_[1590] = cos(x_in[16]);
+ vX_[1590] = vX_[713] * (vX_[714] * vX_[1590] * vX_[630] - vX_[717] * vX_[1022] * vX_[15] - vX_[719] * vX_[1022]) + vX_[725] * (vX_[726] * vX_[1022] * vX_[15] + vX_[728] * vX_[1590] * vX_[630] + vX_[730] * vX_[1022]) + vX_[732] * (-0.33 * vX_[1022] * vX_[630] - 0.33 * vX_[1590] * vX_[15] - 0.35 * vX_[1590]);
+ vX_[730] = ((- vX_[739]) * 100. * vX_[1590] * vX_[737]) / vX_[738];
+ vX_[649] = vX_[645] * vX_[1022] * vX_[15] + vX_[647] * vX_[589] * vX_[630] + vX_[649] * vX_[1022];
+ vX_[647] = -0.33 * vX_[1022] * vX_[630] - 0.33 * vX_[589] * vX_[15] - 0.35 * vX_[589];
+ vX_[643] = (vX_[628] * vX_[1022] * vX_[630] + vX_[631] * vX_[589] * vX_[15]) * x_in[35] + (vX_[628] * vX_[589] * vX_[15] + vX_[635] * vX_[1022] * vX_[630] + vX_[637] * vX_[589]) * x_in[34] + (vX_[639] * vX_[1022] * vX_[15] + vX_[641] * vX_[589] * vX_[630] + vX_[643] * vX_[1022]) * x_in[33] + x_in[18] * vX_[649] - x_in[19] * vX_[647];
+ vX_[684] = vX_[680] * vX_[589] * vX_[630] - vX_[682] * vX_[1022] * vX_[15] - vX_[684] * vX_[1022];
+ vX_[647] = (vX_[663] * vX_[1022] * vX_[630] - vX_[665] * vX_[589] * vX_[15]) * x_in[35] + (vX_[668] * vX_[1022] * vX_[630] - vX_[670] * vX_[589] * vX_[15] - vX_[672] * vX_[589]) * x_in[34] + (vX_[674] * vX_[1022] * vX_[15] + vX_[676] * vX_[589] * vX_[630] + vX_[678] * vX_[1022]) * x_in[33] + x_in[20] * vX_[647] - x_in[18] * vX_[684];
+ vX_[684] = (0.33 * vX_[589] * vX_[630] - 0.33 * vX_[1022] * vX_[15]) * x_in[35] + (0.33 * vX_[589] * vX_[630] - 0.33 * vX_[1022] * vX_[15] - 0.35 * vX_[1022]) * x_in[34] + x_in[19] * vX_[684] - x_in[20] * vX_[649];
+ vX_[1590] = vX_[697] * vX_[730] + -1000. * (vX_[627] * vX_[643] + vX_[662] * vX_[647] + vX_[689] * vX_[684]) * vX_[739] + 5000. * -100. * vX_[1590] * vX_[736];
+ vX_[649] = vX_[761] * vX_[730] + -1000. * (vX_[661] * vX_[643] + vX_[626] * vX_[647] + vX_[760] * vX_[684]) * vX_[739];
+ vX_[684] = vX_[623] * vX_[730] + -1000. * (vX_[688] * vX_[643] + vX_[759] * vX_[647] + vX_[659] * vX_[684]) * vX_[739];
+ vX_[647] = vX_[609] * vX_[1590] + vX_[757] * vX_[649] + vX_[762] * vX_[684];
+ vX_[643] = -0.33 * vX_[1022] * vX_[23] - 0.33 * vX_[589] * vX_[15] - 0.35 * vX_[589];
+ vX_[730] = vX_[768] * vX_[1590] + vX_[706] * vX_[649] + vX_[755] * vX_[684];
+ vX_[764] = vX_[745] * vX_[1022] * vX_[15] + vX_[687] * vX_[589] * vX_[23] + vX_[764] * vX_[1022];
+ vX_[687] = vX_[587] * vX_[647] + vX_[643] * vX_[908] - (vX_[765] * vX_[730] + vX_[764] * vX_[858]);
+ vX_[770] = vX_[596] * vX_[589] * vX_[23] - vX_[591] * vX_[1022] * vX_[15] - vX_[770] * vX_[1022];
+ vX_[684] = vX_[618] * vX_[1590] + vX_[608] * vX_[649] + vX_[767] * vX_[684];
+ vX_[643] = vX_[771] * vX_[730] + vX_[770] * vX_[858] - (vX_[587] * vX_[684] + vX_[643] * vX_[741]);
+ vX_[649] = vX_[15] * vX_[2] + vX_[791] * vX_[989];
+ vX_[143] = vX_[1211] * vX_[143] + vX_[1001] * vX_[997] - vX_[855] * vX_[649];
+ vX_[750] = 0.1104774 * (vX_[927] - vX_[215]) + 0.025941 * vX_[793] - vX_[96] * vX_[687] - vX_[26] * vX_[643] - (vX_[610] * vX_[684] + vX_[751] * vX_[589] * vX_[741]) - (vX_[742] * vX_[647] + vX_[750] * vX_[589] * vX_[908]) - (vX_[749] * vX_[730] + 0.35 * vX_[1022] * vX_[858]) - -0.0004405 * vX_[143];
+ vX_[751] = 0 - vX_[750];
+ vX_[1590] = vX_[1001] * vX_[855];
+ vX_[591] = (- vX_[1083]) * x_in[35];
+ vX_[596] = vX_[649] * x_in[35];
+ vX_[745] = vX_[1001] * x_in[35];
+ vX_[630] = vX_[26] * vX_[1022];
+ vX_[678] = vX_[26] * vX_[589];
+ vX_[676] = vX_[630] * vX_[23] + vX_[678] * vX_[15];
+ vX_[674] = vX_[96] * vX_[589];
+ vX_[672] = vX_[674] * vX_[15];
+ vX_[670] = vX_[589] * vX_[23] - vX_[1022] * vX_[15];
+ vX_[668] = vX_[621] * vX_[902] + vX_[902] * vX_[621];
+ vX_[773] = -0.881 * (vX_[215] - vX_[927]) + 0.1104774 * vX_[793] + 8.81e-05 * vX_[1590] + 0.414812462825713 * vX_[591] + -0.00185880198235362 * vX_[596] + -8.81e-05 * vX_[745] + (0.1104774 * vX_[751]) / 0.026181 - (vX_[772] * vX_[684] + vX_[676] * vX_[741]) - (vX_[777] * vX_[647] + (vX_[773] * vX_[1022] * vX_[23] - vX_[672]) * vX_[908]) - (vX_[778] * vX_[730] + vX_[670] * vX_[858]) - -0.0004405 * vX_[668];
+ vX_[665] = vX_[902] * vX_[855];
+ vX_[663] = (- vX_[902]) * x_in[35];
+ vX_[630] = vX_[630] * vX_[15];
+ vX_[674] = vX_[96] * vX_[1022] * vX_[15] - vX_[674] * vX_[23];
+ vX_[682] = vX_[589] * vX_[15];
+ vX_[680] = vX_[1211] * vX_[1001] + vX_[1001] * vX_[1211];
+ vX_[793] = 0.881 * vX_[143] + 8.81e-05 * vX_[665] + -0.0004405 * vX_[793] + -0.00185880198235362 * vX_[591] + 0.880992588508842 * vX_[596] + 8.81e-05 * vX_[663] + (0.0004405 * vX_[751]) / 0.026181 - (vX_[781] * vX_[684] + (vX_[678] * vX_[23] - vX_[630]) * vX_[741]) - (vX_[783] * vX_[647] + vX_[674] * vX_[908]) - (vX_[786] * vX_[730] + ((- vX_[1022]) * vX_[23] - vX_[682]) * vX_[858]) - 0.1104774 * vX_[680];
+ vX_[641] = vX_[1011] * vX_[909] - vX_[625] * vX_[2];
+ vX_[639] = vX_[1011] * vX_[625];
+ vX_[637] = vX_[1661] * vX_[1011] + vX_[1011] * vX_[1661];
+ vX_[635] = vX_[1199] * vX_[515] + vX_[515] * vX_[1199];
+ vX_[750] = 0.47422804 * (vX_[996] - vX_[218]) + 0.081641 * vX_[257] + 2.1e-05 * vX_[930] + (0.026181 * vX_[751]) / 0.026181 + vX_[750] + vX_[766] * vX_[773] + vX_[25] * vX_[793] - 0.0825825 * vX_[641] - -0.000102 * vX_[639] - -0.007418 * (vX_[637] - vX_[635]);
+ vX_[631] = 0 - vX_[750];
+ vX_[628] = (- vX_[515]) * x_in[34];
+ vX_[645] = vX_[1011] * x_in[34];
+ vX_[728] = (- vX_[989]) * x_in[34];
+ vX_[726] = vX_[2] * x_in[34];
+ vX_[218] = -3.146 * (vX_[218] - vX_[996]) + 0.47422804 * vX_[257] + vX_[15] * vX_[773] + vX_[23] * vX_[793] + vX_[50] * vX_[628] + vX_[44] * vX_[645] + vX_[76] * vX_[728] + vX_[78] * vX_[726] + (vX_[40] * vX_[631]) / vX_[42] - 0.0825825 * vX_[635];
+ vX_[641] = 3.146 * vX_[641] + 0.0825825 * vX_[257] + vX_[791] * vX_[773] + vX_[15] * vX_[793] + vX_[56] * vX_[628] + vX_[55] * vX_[645] + vX_[78] * vX_[728] + vX_[77] * vX_[726] + (vX_[53] * vX_[631]) / vX_[42] - 0.47422804 * vX_[637];
+ vX_[793] = 0.08 * vX_[919];
+ vX_[773] = vX_[186] * vX_[77] - vX_[793] * vX_[78];
+ vX_[996] = vX_[186] * vX_[78] - vX_[793] * vX_[76];
+ vX_[80] = vX_[79] * vX_[186] + vX_[773] * vX_[67] - (vX_[80] * vX_[793] + vX_[996] * vX_[66]);
+ vX_[79] = vX_[55] * vX_[186] - vX_[44] * vX_[793];
+ vX_[719] = vX_[56] * vX_[186] - vX_[50] * vX_[793];
+ vX_[717] = - vX_[719];
+ vX_[714] = vX_[46] * vX_[79] + vX_[961] * vX_[125] + vX_[13] * vX_[717] + vX_[1022] * vX_[127];
+ vX_[502] = - 4.027 * vX_[186];
+ vX_[41] = 0 - vX_[41] * vX_[186] - (vX_[68] * vX_[186] + vX_[502] * vX_[67]) - vX_[80];
+ vX_[68] = vX_[52] * vX_[793] + vX_[68] * vX_[793] + vX_[502] * vX_[66] - vX_[39] * vX_[186];
+ vX_[85] = vX_[46] * vX_[41] + vX_[961] * vX_[85] + vX_[65] * vX_[68] + vX_[919] * vX_[69];
+ vX_[171] = 4.027 * vX_[793];
+ vX_[793] = vX_[70] * vX_[793] + vX_[73] * vX_[793] + vX_[171] * vX_[66] - vX_[80];
+ vX_[68] = vX_[46] * vX_[68] + vX_[961] * vX_[69] + vX_[65] * vX_[793] + vX_[919] * vX_[82];
+ vX_[82] = vX_[86] * vX_[961] + vX_[85] * vX_[46] + vX_[83] * vX_[919] + vX_[68] * vX_[65];
+ vX_[69] = vX_[80] + vX_[82];
+ vX_[73] = (vX_[714] - vX_[492] * vX_[69]) / vX_[92];
+ vX_[70] = vX_[80] - (vX_[128] * vX_[73] + vX_[714] * vX_[492]);
+ vX_[68] = vX_[83] * vX_[961] + vX_[68] * vX_[46] + vX_[86] * vX_[1022] + vX_[85] * vX_[13];
+ vX_[73] = vX_[126] * vX_[961] + 2. * vX_[719] * vX_[46] + vX_[547] * vX_[1022] + 2. * vX_[79] * vX_[13] + vX_[65] * vX_[79] + vX_[919] * vX_[125] + vX_[46] * vX_[717] + vX_[961] * vX_[127] - (vX_[87] * vX_[73] + vX_[68] * vX_[492]);
+ vX_[717] = - vX_[171];
+ vX_[719] = vX_[13] * vX_[717] + vX_[1022] * vX_[102] + vX_[46] * vX_[502] + vX_[961] * vX_[103];
+ vX_[79] = (vX_[719] - vX_[106] * vX_[69]) / vX_[92];
+ vX_[547] = -(vX_[128] * vX_[79] + vX_[714] * vX_[106]);
+ vX_[171] = vX_[996] + vX_[171];
+ vX_[773] = vX_[773] + vX_[502];
+ vX_[717] = vX_[46] * vX_[717] + vX_[961] * vX_[102] + vX_[65] * vX_[502] + vX_[919] * vX_[103];
+ vX_[502] = vX_[961] * vX_[55] + vX_[919] * vX_[56];
+ vX_[103] = vX_[961] * vX_[44] + vX_[919] * vX_[50];
+ vX_[102] = vX_[88] * vX_[1022] + vX_[502] * vX_[13] + vX_[89] * vX_[961] + vX_[103] * vX_[46];
+ vX_[996] = (vX_[102] - vX_[93] * vX_[69]) / vX_[92];
+ vX_[126] = vX_[101] * vX_[961] + vX_[171] * vX_[46] + vX_[131] * vX_[1022] + vX_[773] * vX_[13] + vX_[717] - (vX_[128] * vX_[996] + vX_[714] * vX_[93]);
+ vX_[770] = vX_[765] * vX_[684] + vX_[764] * vX_[741] - (vX_[771] * vX_[647] + vX_[770] * vX_[908]);
+ vX_[649] = vX_[621] * vX_[649] + vX_[902] * vX_[857] - (vX_[1211] * vX_[1083] + vX_[1001] * vX_[960]);
+ vX_[670] = 8.81e-05 * vX_[143] + 8.81e-05 * vX_[596] + 0.026409 * vX_[663] - (vX_[772] * vX_[687] + vX_[676] * vX_[851]) - (vX_[776] * vX_[643] + (vX_[779] * vX_[1022] * vX_[23] - vX_[672]) * vX_[743]) - (vX_[778] * vX_[770] + vX_[670] * vX_[754]) - (vX_[800] * vX_[684] + ((vX_[794] * vX_[589] + vX_[795] * vX_[1022]) * vX_[23] + (vX_[797] * vX_[1022] + vX_[798] * vX_[589]) * vX_[15]) * vX_[741]) - (vX_[807] * vX_[647] + ((vX_[801] * vX_[1022] - vX_[802] * vX_[589]) * vX_[23] + (vX_[804] * vX_[1022] + vX_[805] * vX_[589]) * vX_[15]) * vX_[908]) - (vX_[812] * vX_[730] + (vX_[808] * vX_[1022] * vX_[23] - vX_[810] * vX_[589] * vX_[15]) * vX_[858]) - 0.1104774 * vX_[649] - 0.025713 * vX_[665];
+ vX_[770] = -0.0004405 * vX_[649] + 8.81e-05 * (vX_[215] - vX_[927]) + -0.000227999999999999 * vX_[1590] + -8.81e-05 * vX_[591] + 0.000468 * vX_[745] - (vX_[780] * vX_[687] + (vX_[678] * vX_[23] - vX_[630]) * vX_[851]) - (vX_[783] * vX_[643] + vX_[674] * vX_[743]) - (vX_[785] * vX_[770] + ((- vX_[1022]) * vX_[23] - vX_[682]) * vX_[754]) - (vX_[821] * vX_[684] + ((vX_[815] * vX_[1022] + vX_[816] * vX_[589]) * vX_[23] + (vX_[818] * vX_[589] - vX_[819] * vX_[1022]) * vX_[15]) * vX_[741]) - (vX_[828] * vX_[647] + ((vX_[822] * vX_[1022] + vX_[823] * vX_[589]) * vX_[23] + (vX_[825] * vX_[589] - vX_[826] * vX_[1022]) * vX_[15]) * vX_[908]) - (vX_[833] * vX_[730] + (vX_[829] * vX_[1022] * vX_[15] - vX_[831] * vX_[589] * vX_[23]) * vX_[858]);
+ vX_[649] = 0.881 * vX_[649] + 0.1104774 * vX_[665] + -0.0004405 * vX_[1590] + -0.1104774 * vX_[663] + -0.0004405 * vX_[745] - vX_[96] * vX_[684] - vX_[26] * vX_[647] - 8.81e-05 * (vX_[680] + vX_[668]);
+ vX_[2] = vX_[1199] * vX_[2] + vX_[515] * vX_[859] - (vX_[1661] * vX_[989] + vX_[1011] * vX_[976]);
+ vX_[635] = -0.007418 * vX_[639] + -0.000102 * (0 - vX_[635]) + vX_[15] * vX_[670] + vX_[23] * vX_[770] + -0.35 * vX_[649] + vX_[72] * vX_[628] + vX_[64] * vX_[645] + vX_[50] * vX_[728] + vX_[56] * vX_[726] + (vX_[49] * vX_[631]) / vX_[42] - 0.47422804 * vX_[2] - 0.084376 * vX_[930] - 2.1e-05 * vX_[257];
+ vX_[770] = 0.002735 * vX_[639] + 0.0825825 * vX_[2] + -0.000102 * vX_[257] + vX_[20] * vX_[670] + vX_[15] * vX_[770] + vX_[64] * vX_[628] + vX_[71] * vX_[645] + vX_[44] * vX_[728] + vX_[55] * vX_[726] + (vX_[30] * vX_[631]) / vX_[42] - -0.007418 * vX_[930] - 2.1e-05 * (0 - vX_[637]);
+ vX_[2] = 0.47422804 * vX_[930] + 3.146 * vX_[2] + 0.0825825 * vX_[639] + vX_[649] + vX_[39] * vX_[628] + vX_[52] * vX_[645];
+ vX_[649] = vX_[65] * vX_[635] + vX_[919] * vX_[939] + vX_[46] * vX_[770] + vX_[961] * vX_[852] + 0.08 * vX_[2];
+ vX_[639] = 0 - vX_[649];
+ vX_[750] = (vX_[42] * vX_[631]) / vX_[42] + vX_[750] + vX_[789] * vX_[218] + vX_[169] * vX_[603] + vX_[67] * vX_[641] + vX_[186] * vX_[965] + vX_[70] * vX_[696] + vX_[73] * vX_[686] + vX_[547] * vX_[606] + vX_[126] * vX_[599] + (vX_[128] * vX_[639] + vX_[714] * vX_[876] - vX_[576] * vX_[69]) / vX_[92];
+ vX_[82] = vX_[793] + vX_[41] + vX_[80] - vX_[82] - (vX_[87] * (vX_[68] - vX_[501] * vX_[69]) / vX_[92] + vX_[68] * vX_[501]);
+ vX_[717] = 0 - vX_[717] - (vX_[87] * vX_[79] + vX_[68] * vX_[106]);
+ vX_[793] = vX_[1022] * vX_[44] + vX_[961] * vX_[50];
+ vX_[41] = vX_[1022] * vX_[55] + vX_[961] * vX_[56];
+ vX_[80] = vX_[51] * vX_[961] + vX_[793] * vX_[46] + vX_[57] * vX_[1022] + vX_[41] * vX_[13] - (vX_[87] * vX_[996] + vX_[68] * vX_[93]);
+ vX_[770] = vX_[46] * vX_[635] + vX_[961] * vX_[939] + vX_[13] * vX_[770] + vX_[1022] * vX_[852] + vX_[73] * vX_[696] + vX_[82] * vX_[686] + vX_[717] * vX_[606] + vX_[80] * vX_[599] + (vX_[87] * vX_[639] + vX_[68] * vX_[876] - vX_[9] * vX_[69]) / vX_[92];
+ vX_[103] = vX_[88] * vX_[961] + vX_[502] * vX_[46] + vX_[89] * vX_[919] + vX_[103] * vX_[65];
+ vX_[502] = (vX_[103] - vX_[114] * vX_[69]) / vX_[92];
+ vX_[773] = vX_[101] * vX_[919] + vX_[171] * vX_[65] + vX_[131] * vX_[961] + vX_[773] * vX_[46] - vX_[719] - (vX_[128] * vX_[502] + vX_[714] * vX_[114]);
+ vX_[41] = vX_[51] * vX_[919] + vX_[793] * vX_[65] + vX_[57] * vX_[961] + vX_[41] * vX_[46] - (vX_[87] * vX_[502] + vX_[68] * vX_[114]);
+ vX_[793] = -(vX_[105] * vX_[502] + vX_[719] * vX_[114]);
+ vX_[109] = vX_[961] * vX_[78] + vX_[919] * vX_[109];
+ vX_[111] = vX_[961] * vX_[111] + vX_[919] * vX_[78];
+ vX_[57] = vX_[110] * vX_[961] + vX_[109] * vX_[46] + vX_[112] * vX_[1022] + vX_[111] * vX_[13] - (vX_[90] * vX_[502] + vX_[102] * vX_[114]);
+ vX_[51] = vX_[746] * vX_[218] + vX_[950] * vX_[603] + vX_[613] * vX_[641] + vX_[238] * vX_[965] + vX_[773] * vX_[696] + vX_[41] * vX_[686] + vX_[793] * vX_[606] + vX_[57] * vX_[599] + (vX_[113] * vX_[639] + vX_[103] * vX_[876] - vX_[489] * vX_[69]) / vX_[92];
+ vX_[171] = -(vX_[105] * vX_[79] + vX_[719] * vX_[106]);
+ vX_[79] = -(vX_[90] * vX_[79] + vX_[102] * vX_[106]);
+ vX_[2] = vX_[2] + vX_[547] * vX_[696] + vX_[717] * vX_[686] + vX_[171] * vX_[606] + vX_[79] * vX_[599] + (vX_[105] * vX_[639] + vX_[719] * vX_[876] - vX_[707] * vX_[69]) / vX_[92];
+ vX_[111] = vX_[112] * vX_[961] + vX_[111] * vX_[46] + vX_[110] * vX_[919] + vX_[109] * vX_[65];
+ vX_[996] = 0 - vX_[111] - (vX_[90] * vX_[996] + vX_[102] * vX_[93]);
+ vX_[641] = vX_[835] * vX_[218] + vX_[243] * vX_[603] + vX_[13] * vX_[641] + vX_[1022] * vX_[965] + vX_[126] * vX_[696] + vX_[80] * vX_[686] + vX_[79] * vX_[606] + vX_[996] * vX_[599] + (vX_[90] * vX_[639] + vX_[102] * vX_[876] - vX_[605] * vX_[69]) / vX_[92];
+ vX_[111] = vX_[111] - (vX_[113] * vX_[502] + vX_[103] * vX_[114]);
+ vX_[502] = vX_[120] * vX_[111] - vX_[100] * vX_[57];
+ vX_[218] = vX_[120] * vX_[57] - vX_[100] * vX_[996];
+ vX_[965] = vX_[95] * vX_[996] - vX_[120] * vX_[79];
+ vX_[603] = vX_[95] * vX_[79] - vX_[120] * vX_[171];
+ vX_[109] = vX_[965] * vX_[95] - vX_[603] * vX_[120];
+ vX_[70] = 2. * vX_[773] * vX_[120] + vX_[70] + vX_[502] * vX_[120] - 2. * vX_[126] * vX_[100] - vX_[218] * vX_[100] - vX_[109];
+ vX_[112] = vX_[100] * vX_[171] - vX_[95] * vX_[793];
+ vX_[110] = vX_[100] * vX_[793] - vX_[95] * vX_[111];
+ vX_[82] = 2. * vX_[717] * vX_[100] + vX_[82] + vX_[112] * vX_[100] - 2. * vX_[41] * vX_[95] - vX_[110] * vX_[95] - vX_[109];
+ vX_[131] = vX_[100] * vX_[79];
+ vX_[101] = vX_[95] * vX_[57];
+ vX_[89] = vX_[131] - vX_[101];
+ vX_[73] = vX_[547] * vX_[100] + vX_[73] + vX_[41] * vX_[120] + vX_[110] * vX_[120] - vX_[80] * vX_[100] - vX_[773] * vX_[95] - vX_[89] * vX_[100];
+ vX_[88] = vX_[96] * vX_[73];
+ vX_[635] = (vX_[96] * vX_[82] + vX_[26] * vX_[73]) * vX_[96] + (vX_[88] + vX_[26] * vX_[70]) * vX_[26];
+ vX_[88] = vX_[98] * vX_[82] + vX_[88];
+ vX_[73] = vX_[98] * vX_[73] + vX_[96] * vX_[70];
+ vX_[852] = vX_[88] * vX_[98] + vX_[73] * vX_[96];
+ vX_[82] = vX_[70] + vX_[82] + vX_[109] - vX_[635] - vX_[852];
+ vX_[649] = ((vX_[92] * vX_[639] + vX_[69] * vX_[876] - vX_[702] * vX_[69]) / vX_[92] + vX_[649] + vX_[136] * vX_[2] + vX_[95] * vX_[641] - vX_[1518] * vX_[82]) / vX_[583];
+ vX_[70] = vX_[120] * vX_[793];
+ vX_[131] = vX_[70] - vX_[131];
+ vX_[939] = vX_[547] * vX_[120] + vX_[131] * vX_[120] - vX_[126] * vX_[95] - vX_[218] * vX_[95];
+ vX_[930] = vX_[80] * vX_[95] + vX_[89] * vX_[95] - vX_[717] * vX_[120] - vX_[112] * vX_[120];
+ vX_[670] = vX_[98] * vX_[939] + vX_[96] * vX_[930];
+ vX_[637] = (vX_[670] - vX_[1567] * vX_[82]) / vX_[583];
+ vX_[635] = vX_[109] + vX_[635] - (vX_[1566] * vX_[637] + vX_[670] * vX_[1567]);
+ vX_[257] = (vX_[26] * vX_[750] + vX_[96] * vX_[770] + vX_[97] * vX_[2] + vX_[1569] * vX_[641] - (vX_[1566] * vX_[649] + vX_[670] * vX_[1518]) - vX_[1677] * vX_[635]) / vX_[580];
+ vX_[73] = vX_[88] * vX_[96] + vX_[73] * vX_[26];
+ vX_[930] = 0 - vX_[26] * vX_[930] - vX_[96] * vX_[939];
+ vX_[939] = vX_[73] - (vX_[490] * vX_[637] + vX_[930] * vX_[1567]);
+ vX_[88] = (vX_[930] - vX_[584] * vX_[82]) / vX_[583];
+ vX_[73] = (vX_[73] - (vX_[1566] * vX_[88] + vX_[670] * vX_[584]) - vX_[1565] * vX_[635]) / vX_[580];
+ vX_[852] = vX_[109] + vX_[852] - (vX_[1568] * vX_[73] + vX_[939] * vX_[1565]) - (vX_[490] * vX_[88] + vX_[930] * vX_[584]);
+ vX_[770] = (vX_[96] * vX_[750] + vX_[98] * vX_[770] + 0.207 * vX_[51] + vX_[99] * vX_[2] + vX_[834] * vX_[641] - (vX_[1568] * vX_[257] + vX_[939] * vX_[1677]) - (vX_[490] * vX_[649] + vX_[930] * vX_[1518]) - vX_[1201] * vX_[852]) / vX_[582];
+ vX_[112] = vX_[112] + vX_[717];
+ vX_[70] = vX_[101] - vX_[70];
+ vX_[131] = vX_[547] + vX_[131] - vX_[70];
+ vX_[547] = vX_[96] * vX_[112] + vX_[26] * vX_[131];
+ vX_[89] = vX_[80] + vX_[89] - vX_[70];
+ vX_[218] = vX_[218] + vX_[126];
+ vX_[126] = vX_[96] * vX_[89] + vX_[26] * vX_[218];
+ vX_[80] = vX_[547] * vX_[26] + vX_[126] * vX_[96] + vX_[70];
+ vX_[502] = vX_[502] + vX_[773];
+ vX_[603] = vX_[603] + vX_[502];
+ vX_[110] = vX_[110] + vX_[41];
+ vX_[965] = vX_[965] + vX_[110];
+ vX_[502] = - vX_[502];
+ vX_[41] = vX_[98] * vX_[502] + vX_[96] * vX_[110];
+ vX_[773] = vX_[603] * vX_[26] + vX_[965] * vX_[96] - vX_[41];
+ vX_[101] = vX_[80] - (vX_[1611] * vX_[637] + vX_[773] * vX_[1567]);
+ vX_[218] = vX_[98] * vX_[89] + vX_[96] * vX_[218];
+ vX_[131] = vX_[98] * vX_[112] + vX_[96] * vX_[131];
+ vX_[112] = vX_[218] * vX_[96] + vX_[131] * vX_[26];
+ vX_[89] = vX_[112] - (vX_[1587] * vX_[73] + vX_[101] * vX_[1565]) - (vX_[1611] * vX_[88] + vX_[773] * vX_[584]);
+ vX_[717] = vX_[41] - (vX_[1630] * vX_[637] + vX_[70] * vX_[1567]);
+ vX_[502] = vX_[96] * vX_[502] + vX_[26] * vX_[110];
+ vX_[110] = - vX_[502];
+ vX_[750] = vX_[110] - (vX_[1610] * vX_[73] + vX_[717] * vX_[1565]) - (vX_[1630] * vX_[88] + vX_[70] * vX_[584]);
+ vX_[171] = vX_[171] - vX_[111];
+ vX_[996] = vX_[996] - vX_[111];
+ vX_[109] = vX_[96] * vX_[79];
+ vX_[1011] = (vX_[96] * vX_[996] + vX_[26] * vX_[79]) * vX_[96] + (vX_[109] + vX_[26] * vX_[171]) * vX_[26];
+ vX_[109] = vX_[98] * vX_[996] + vX_[109];
+ vX_[79] = vX_[98] * vX_[79] + vX_[96] * vX_[171];
+ vX_[515] = vX_[109] * vX_[98] + vX_[79] * vX_[96];
+ vX_[989] = (vX_[70] - vX_[1593] * vX_[82]) / vX_[583];
+ vX_[41] = (vX_[41] - (vX_[1566] * vX_[989] + vX_[670] * vX_[1593]) - vX_[1619] * vX_[635]) / vX_[580];
+ vX_[110] = (vX_[110] - (vX_[1568] * vX_[41] + vX_[939] * vX_[1619]) - (vX_[490] * vX_[989] + vX_[930] * vX_[1593]) - vX_[1628] * vX_[852]) / vX_[582];
+ vX_[996] = vX_[171] + vX_[996] + vX_[111] - vX_[1011] - vX_[515] - (vX_[1610] * vX_[41] + vX_[717] * vX_[1619]) - (vX_[1630] * vX_[989] + vX_[70] * vX_[1593]) - (vX_[1627] * vX_[110] + vX_[750] * vX_[1628]);
+ vX_[51] = (vX_[51] - (vX_[1610] * vX_[257] + vX_[717] * vX_[1677]) - (vX_[1630] * vX_[649] + vX_[70] * vX_[1518]) - (vX_[1627] * vX_[770] + vX_[750] * vX_[1201]) - vX_[1110] * vX_[996]) / vX_[1657];
+ vX_[793] = - vX_[793];
+ vX_[171] = vX_[98] * vX_[793] + vX_[96] * vX_[57];
+ vX_[680] = vX_[171] - (vX_[1587] * vX_[41] + vX_[101] * vX_[1619]) - (vX_[1611] * vX_[989] + vX_[773] * vX_[1593]) - (vX_[1575] * vX_[110] + vX_[89] * vX_[1628]);
+ vX_[663] = (vX_[773] - vX_[1612] * vX_[82]) / vX_[583];
+ vX_[80] = (vX_[80] - (vX_[1566] * vX_[663] + vX_[670] * vX_[1612]) - vX_[1613] * vX_[635]) / vX_[580];
+ vX_[112] = (vX_[112] - (vX_[1568] * vX_[80] + vX_[939] * vX_[1613]) - (vX_[490] * vX_[663] + vX_[930] * vX_[1612]) - vX_[1614] * vX_[852]) / vX_[582];
+ vX_[171] = (vX_[171] - (vX_[1610] * vX_[80] + vX_[717] * vX_[1613]) - (vX_[1630] * vX_[663] + vX_[70] * vX_[1612]) - (vX_[1627] * vX_[112] + vX_[750] * vX_[1614]) - vX_[1599] * vX_[996]) / vX_[1657];
+ vX_[1011] = vX_[111] + vX_[1011] - (vX_[1587] * vX_[80] + vX_[101] * vX_[1613]) - (vX_[1611] * vX_[663] + vX_[773] * vX_[1612]) - (vX_[1575] * vX_[112] + vX_[89] * vX_[1614]) - (vX_[1629] * vX_[171] + vX_[680] * vX_[1599]);
+ vX_[665] = (vX_[26] * vX_[2] + vX_[96] * vX_[641] - (vX_[1587] * vX_[257] + vX_[101] * vX_[1677]) - (vX_[1611] * vX_[649] + vX_[773] * vX_[1518]) - (vX_[1575] * vX_[770] + vX_[89] * vX_[1201]) - (vX_[1629] * vX_[51] + vX_[680] * vX_[1110]) - vX_[1691] * vX_[1011]) / vX_[1654];
+ vX_[126] = vX_[126] * vX_[98] + vX_[547] * vX_[96];
+ vX_[502] = vX_[603] * vX_[96] + vX_[965] * vX_[98] + vX_[502];
+ vX_[965] = vX_[126] - (vX_[1626] * vX_[637] + vX_[502] * vX_[1567]);
+ vX_[131] = vX_[131] * vX_[96] + vX_[218] * vX_[98] + vX_[70];
+ vX_[218] = vX_[131] - (vX_[748] * vX_[73] + vX_[965] * vX_[1565]) - (vX_[1626] * vX_[88] + vX_[502] * vX_[584]);
+ vX_[793] = 0 - vX_[26] * vX_[57] - vX_[96] * vX_[793];
+ vX_[57] = vX_[793] - (vX_[748] * vX_[41] + vX_[965] * vX_[1619]) - (vX_[1626] * vX_[989] + vX_[502] * vX_[1593]) - (vX_[484] * vX_[110] + vX_[218] * vX_[1628]);
+ vX_[79] = vX_[109] * vX_[96] + vX_[79] * vX_[26];
+ vX_[109] = vX_[79] - (vX_[748] * vX_[80] + vX_[965] * vX_[1613]) - (vX_[1626] * vX_[663] + vX_[502] * vX_[1612]) - (vX_[484] * vX_[112] + vX_[218] * vX_[1614]) - (vX_[1664] * vX_[171] + vX_[57] * vX_[1599]);
+ vX_[82] = (vX_[502] - vX_[1658] * vX_[82]) / vX_[583];
+ vX_[126] = (vX_[126] - (vX_[1566] * vX_[82] + vX_[670] * vX_[1658]) - vX_[1659] * vX_[635]) / vX_[580];
+ vX_[131] = (vX_[131] - (vX_[1568] * vX_[126] + vX_[939] * vX_[1659]) - (vX_[490] * vX_[82] + vX_[930] * vX_[1658]) - vX_[1660] * vX_[852]) / vX_[582];
+ vX_[793] = (vX_[793] - (vX_[1610] * vX_[126] + vX_[717] * vX_[1659]) - (vX_[1630] * vX_[82] + vX_[70] * vX_[1658]) - (vX_[1627] * vX_[131] + vX_[750] * vX_[1660]) - vX_[1665] * vX_[996]) / vX_[1657];
+ vX_[79] = (vX_[79] - (vX_[1587] * vX_[126] + vX_[101] * vX_[1659]) - (vX_[1611] * vX_[82] + vX_[773] * vX_[1658]) - (vX_[1575] * vX_[131] + vX_[89] * vX_[1660]) - (vX_[1629] * vX_[793] + vX_[680] * vX_[1665]) - vX_[1666] * vX_[1011]) / vX_[1654];
+ vX_[109] = (vX_[96] * vX_[2] + vX_[1667] * vX_[641] - (vX_[748] * vX_[257] + vX_[965] * vX_[1677]) - (vX_[1626] * vX_[649] + vX_[502] * vX_[1518]) - (vX_[484] * vX_[770] + vX_[218] * vX_[1201]) - (vX_[1664] * vX_[51] + vX_[57] * vX_[1110]) - (vX_[1584] * vX_[665] + vX_[109] * vX_[1691]) - vX_[471] * (vX_[111] + vX_[515] - (vX_[748] * vX_[126] + vX_[965] * vX_[1659]) - (vX_[1626] * vX_[82] + vX_[502] * vX_[1658]) - (vX_[484] * vX_[131] + vX_[218] * vX_[1660]) - (vX_[1664] * vX_[793] + vX_[57] * vX_[1665]) - (vX_[1584] * vX_[79] + vX_[109] * vX_[1666]))) / vX_[1656];
+ jac[599] = - vX_[109];
+ vX_[79] = vX_[665] - (vX_[1666] * vX_[109] + vX_[79] * vX_[471]);
+ jac[598] = - vX_[79];
+ vX_[793] = vX_[51] - (vX_[1665] * vX_[109] + vX_[793] * vX_[471]) - (vX_[1599] * vX_[79] + vX_[171] * vX_[1353]);
+ jac[597] = - vX_[793];
+ vX_[131] = vX_[770] - (vX_[1614] * vX_[79] + vX_[112] * vX_[1353]) - (vX_[1628] * vX_[793] + vX_[110] * vX_[546]) - (vX_[1660] * vX_[109] + vX_[131] * vX_[471]);
+ jac[596] = - vX_[131];
+ vX_[126] = vX_[257] - (vX_[1619] * vX_[793] + vX_[41] * vX_[546]) - (vX_[1565] * vX_[131] + vX_[73] * vX_[536]) - (vX_[1613] * vX_[79] + vX_[80] * vX_[1353]) - (vX_[1659] * vX_[109] + vX_[126] * vX_[471]);
+ jac[594] = vX_[584] * vX_[131] + vX_[88] * vX_[536] + vX_[1567] * vX_[126] + vX_[637] * vX_[1338] + vX_[1593] * vX_[793] + vX_[989] * vX_[546] + vX_[1612] * vX_[79] + vX_[663] * vX_[1353] + vX_[1658] * vX_[109] + vX_[82] * vX_[471] - vX_[649];
+ jac[595] = - vX_[126];
+ vX_[126] = -1 * jac[594];
+ vX_[131] = vX_[450] * jac[596] + vX_[370] * jac[595];
+ vX_[793] = vX_[370] * jac[596] + vX_[451] * jac[595];
+ vX_[79] = -1 * jac[597];
+ vX_[109] = 0.207 * jac[596] + vX_[79];
+ vX_[82] = vX_[1481] * jac[596] + vX_[1572] * jac[595] + vX_[448] * jac[594] + vX_[1670] * jac[599] + vX_[1618] * jac[598];
+ jac[600] = (0 - vX_[445] * vX_[126] - vX_[482] * vX_[131] - vX_[440] * vX_[793] - vX_[467] * vX_[109] - vX_[459] * (vX_[453] * jac[596] + vX_[452] * jac[595] + vX_[1573] * jac[594] + vX_[450] * jac[599] + vX_[1617] * jac[598]) - vX_[443] * vX_[82]) / vX_[445];
+ vX_[663] = -1 * vX_[131];
+ vX_[989] = vX_[126] + jac[600];
+ vX_[88] = vX_[371] * vX_[109] + vX_[1562] * vX_[82] + vX_[1275] * vX_[131];
+ vX_[82] = vX_[398] * vX_[109] + vX_[371] * vX_[82] + vX_[419] * vX_[131];
+ jac[601] = (0 - vX_[395] * vX_[663] - vX_[402] * (vX_[371] * vX_[989] + vX_[399] * vX_[793]) - vX_[383] * (vX_[398] * vX_[989] + vX_[371] * vX_[793]) - vX_[393] * vX_[88] - vX_[406] * vX_[82]) / vX_[395];
+ vX_[663] = vX_[663] + jac[601];
+ jac[602] = (0 - 0.1104774 * (vX_[372] * vX_[88] + vX_[1520] * vX_[82] + vX_[1517] * vX_[663]) - -0.0004405 * (vX_[374] * vX_[88] + vX_[372] * vX_[82] + vX_[377] * vX_[663]) - 0.026181 * vX_[663]) / 0.026181;
+ vX_[663] = vX_[328] * jac[596] + vX_[249] * jac[595];
+ vX_[82] = vX_[330] * jac[596] + vX_[328] * jac[595];
+ vX_[88] = 0.207 * jac[596] + jac[597];
+ vX_[989] = vX_[1318] * jac[596] + vX_[1571] * jac[595] + vX_[327] * jac[594] + vX_[1669] * jac[599] + vX_[328] * jac[598];
+ jac[603] = (0 - vX_[324] * jac[594] - vX_[360] * vX_[663] - vX_[319] * vX_[82] - vX_[345] * vX_[88] - vX_[337] * (vX_[331] * jac[596] + vX_[329] * jac[595] + vX_[368] * jac[594] + vX_[328] * jac[599] + vX_[249] * jac[598]) - vX_[322] * vX_[989]) / vX_[324];
+ vX_[793] = jac[594] + jac[603];
+ vX_[109] = vX_[1229] * vX_[88] + vX_[1319] * vX_[989] + vX_[1274] * vX_[663];
+ vX_[989] = vX_[698] * vX_[88] + vX_[250] * vX_[989] + vX_[299] * vX_[663];
+ jac[604] = (0 - vX_[274] * vX_[663] - vX_[281] * (vX_[297] * vX_[793] + vX_[278] * vX_[82]) - vX_[262] * (vX_[278] * vX_[793] + vX_[250] * vX_[82]) - vX_[272] * vX_[109] - vX_[285] * vX_[989]) / vX_[274];
+ vX_[663] = vX_[663] + jac[604];
+ jac[605] = (0 - 0.1104774 * (vX_[251] * vX_[109] + vX_[1276] * vX_[989] + vX_[1252] * vX_[663]) - -0.0004405 * (vX_[253] * vX_[109] + vX_[251] * vX_[989] + vX_[256] * vX_[663]) - 0.026181 * vX_[663]) / 0.026181;
+ vX_[663] = vX_[208] * jac[596] + vX_[138] * jac[595];
+ vX_[989] = vX_[138] * jac[596] + vX_[209] * jac[595];
+ vX_[79] = 0.207 * jac[596] + vX_[79];
+ vX_[109] = vX_[998] * jac[596] + vX_[1570] * jac[595] + vX_[206] * jac[594] + vX_[1668] * jac[599] + vX_[1616] * jac[598];
+ jac[606] = (0 - vX_[203] * vX_[126] - vX_[240] * vX_[663] - vX_[198] * vX_[989] - vX_[225] * vX_[79] - vX_[217] * (vX_[211] * jac[596] + vX_[210] * jac[595] + vX_[248] * jac[594] + vX_[208] * jac[599] + vX_[1615] * jac[598]) - vX_[201] * vX_[109]) / vX_[203];
+ vX_[793] = -1 * vX_[663];
+ vX_[126] = vX_[126] + jac[606];
+ vX_[82] = vX_[139] * vX_[79] + vX_[1079] * vX_[109] + vX_[790] * vX_[663];
+ vX_[109] = vX_[159] * vX_[79] + vX_[139] * vX_[109] + vX_[177] * vX_[663];
+ jac[607] = (0 - vX_[156] * vX_[793] - 2.1e-05 * (vX_[139] * vX_[126] + vX_[160] * vX_[989]) - -0.000102 * (vX_[159] * vX_[126] + vX_[139] * vX_[989]) - vX_[154] * vX_[82] - vX_[164] * vX_[109]) / vX_[156];
+ vX_[793] = vX_[793] + jac[607];
+ jac[608] = (0 - 0.110125 * (vX_[142] * vX_[82] + vX_[1037] * vX_[109] + vX_[1034] * vX_[793]) - 0.000881 * (vX_[140] * vX_[82] + vX_[142] * vX_[109] + vX_[141] * vX_[793]) - 0.026181 * vX_[793]) / 0.026181;
+ vX_[793] = vX_[96] * jac[596] + vX_[26] * jac[595];
+ vX_[109] = vX_[96] * vX_[542] + vX_[26] * vX_[1605] + vX_[696];
+ vX_[82] = vX_[98] * jac[596] + vX_[96] * jac[595];
+ vX_[126] = vX_[98] * vX_[542] + vX_[96] * vX_[1605] + vX_[686];
+ vX_[989] = 0.207 * jac[596] + jac[597];
+ vX_[426] = 0.207 * vX_[542] + vX_[426];
+ vX_[79] = vX_[99] * vX_[542] + vX_[97] * vX_[1605] + vX_[136] * vX_[624] + vX_[96] * vX_[1632] + vX_[26] * vX_[544] + vX_[606];
+ vX_[663] = vX_[834] * jac[596] + vX_[1569] * jac[595] + vX_[95] * jac[594] + vX_[1667] * jac[599] + vX_[96] * jac[598];
+ vX_[544] = vX_[834] * vX_[542] + vX_[1569] * vX_[1605] + vX_[95] * vX_[624] + vX_[1667] * vX_[1632] + vX_[96] * vX_[544] + vX_[599];
+ vX_[1632] = (vX_[876] - vX_[92] * vX_[624] - vX_[128] * vX_[109] - vX_[87] * vX_[126] - vX_[113] * vX_[426] - vX_[105] * vX_[79] - vX_[90] * vX_[544]) / vX_[92];
+ jac[609] = (vX_[639] - (vX_[92] * jac[594] + vX_[69] * vX_[624]) - (vX_[128] * vX_[793] + vX_[714] * vX_[109]) - (vX_[87] * vX_[82] + vX_[68] * vX_[126]) - (vX_[113] * vX_[989] + vX_[103] * vX_[426]) - (vX_[105] * (vX_[99] * jac[596] + vX_[97] * jac[595] + vX_[136] * jac[594] + vX_[96] * jac[599] + vX_[26] * jac[598]) + vX_[719] * vX_[79]) - (vX_[90] * vX_[663] + vX_[102] * vX_[544]) - vX_[1632] * vX_[69]) / vX_[92];
+ vX_[103] = jac[594] + jac[609];
+ vX_[639] = vX_[624] + vX_[1632];
+ vX_[728] = vX_[746] * vX_[989] + vX_[950] * vX_[426] + vX_[835] * vX_[663] + vX_[243] * vX_[544] + vX_[789] * vX_[793] + vX_[169] * vX_[109] + vX_[728];
+ vX_[663] = vX_[613] * vX_[989] + vX_[238] * vX_[426] + vX_[13] * vX_[663] + vX_[1022] * vX_[544] + vX_[67] * vX_[793] + vX_[186] * vX_[109] + vX_[726];
+ jac[610] = (vX_[631] - vX_[42] * vX_[793] - vX_[49] * (vX_[65] * vX_[103] + vX_[919] * vX_[639] + vX_[46] * vX_[82] + vX_[961] * vX_[126] + vX_[628]) - vX_[30] * (vX_[46] * vX_[103] + vX_[961] * vX_[639] + vX_[13] * vX_[82] + vX_[1022] * vX_[126] + vX_[645]) - vX_[40] * vX_[728] - vX_[53] * vX_[663]) / vX_[42];
+ vX_[793] = vX_[793] + jac[610];
+ jac[611] = (vX_[751] - 0.1104774 * (vX_[15] * vX_[728] + vX_[791] * vX_[663] + vX_[766] * vX_[793] + vX_[591]) - 0.0004405 * (vX_[23] * vX_[728] + vX_[15] * vX_[663] + vX_[25] * vX_[793] + vX_[596]) - 0.026181 * vX_[793]) / 0.026181;
+ vX_[793] = cos(x_in[17]);
+ vX_[663] = -1 * sin(x_in[17]);
+ vX_[728] = 0.35 * vX_[793];
+ vX_[596] = vX_[793] * vX_[859] + vX_[663] * vX_[976] + vX_[728] * vX_[625];
+ vX_[591] = vX_[855] * vX_[596];
+ vX_[751] = vX_[663] * vX_[1199] + vX_[793] * vX_[1661];
+ vX_[103] = vX_[751] * vX_[997];
+ vX_[82] = - vX_[793];
+ vX_[645] = vX_[82] * vX_[1199] + vX_[663] * vX_[1661];
+ vX_[628] = vX_[621] * vX_[645] + vX_[751] * vX_[1211];
+ vX_[631] = cos(x_in[17]);
+ vX_[734] = vX_[713] * (vX_[716] * vX_[631] - vX_[718] * vX_[663]) + vX_[725] * (vX_[727] * vX_[663] + vX_[729] * vX_[631]) + vX_[732] * (vX_[733] * vX_[631] - vX_[734] * vX_[663]);
+ vX_[738] = ((- vX_[739]) * 100. * vX_[734] * vX_[737]) / vX_[738];
+ vX_[648] = vX_[646] * vX_[663] + vX_[648] * vX_[631];
+ vX_[652] = vX_[651] * vX_[631] - vX_[652] * vX_[663];
+ vX_[642] = (vX_[629] * vX_[631] + vX_[632] * vX_[663]) * x_in[35] + (vX_[634] * vX_[663] + vX_[636] * vX_[631]) * x_in[34] + (vX_[640] * vX_[663] + vX_[642] * vX_[631]) * x_in[33] + x_in[18] * vX_[648] - x_in[19] * vX_[652];
+ vX_[683] = vX_[681] * vX_[631] - vX_[683] * vX_[663];
+ vX_[652] = (vX_[664] * vX_[631] - vX_[666] * vX_[663]) * x_in[35] + (vX_[669] * vX_[631] - vX_[671] * vX_[663]) * x_in[34] + (vX_[675] * vX_[663] + vX_[677] * vX_[631]) * x_in[33] + x_in[20] * vX_[652] - x_in[18] * vX_[683];
+ vX_[683] = (vX_[690] * vX_[631] - vX_[691] * vX_[663]) * x_in[35] + (vX_[693] * vX_[631] - vX_[694] * vX_[663]) * x_in[34] + x_in[19] * vX_[683] - x_in[20] * vX_[648];
+ vX_[734] = vX_[697] * vX_[738] + -1000. * (vX_[627] * vX_[642] + vX_[662] * vX_[652] + vX_[689] * vX_[683]) * vX_[739] + 5000. * -100. * vX_[734] * vX_[736];
+ vX_[761] = vX_[761] * vX_[738] + -1000. * (vX_[661] * vX_[642] + vX_[626] * vX_[652] + vX_[760] * vX_[683]) * vX_[739];
+ vX_[683] = vX_[623] * vX_[738] + -1000. * (vX_[688] * vX_[642] + vX_[759] * vX_[652] + vX_[659] * vX_[683]) * vX_[739];
+ vX_[652] = vX_[609] * vX_[734] + vX_[757] * vX_[761] + vX_[762] * vX_[683];
+ vX_[586] = vX_[585] * vX_[793] - vX_[586] * vX_[663];
+ vX_[585] = vX_[768] * vX_[734] + vX_[706] * vX_[761] + vX_[755] * vX_[683];
+ vX_[763] = vX_[758] * vX_[663] + vX_[763] * vX_[793];
+ vX_[758] = vX_[587] * vX_[652] + vX_[586] * vX_[908] - (vX_[765] * vX_[585] + vX_[763] * vX_[858]);
+ vX_[769] = vX_[752] * vX_[793] - vX_[769] * vX_[663];
+ vX_[683] = vX_[618] * vX_[734] + vX_[608] * vX_[761] + vX_[767] * vX_[683];
+ vX_[586] = vX_[771] * vX_[585] + vX_[769] * vX_[858] - (vX_[587] * vX_[683] + vX_[586] * vX_[741]);
+ vX_[761] = - vX_[793];
+ vX_[734] = 0.35 * vX_[663];
+ vX_[752] = vX_[663] * vX_[859] + vX_[761] * vX_[976] + vX_[734] * vX_[625];
+ vX_[642] = vX_[645] * vX_[997] - vX_[855] * vX_[752];
+ vX_[738] = 0.1104774 * (vX_[591] - vX_[103]) + 0.025941 * vX_[628] - vX_[96] * vX_[758] - vX_[26] * vX_[586] - vX_[610] * vX_[683] - vX_[742] * vX_[652] - vX_[749] * vX_[585] - -0.0004405 * vX_[642];
+ vX_[623] = 0 - vX_[738];
+ vX_[736] = vX_[645] * vX_[855];
+ vX_[697] = (- vX_[596]) * x_in[35];
+ vX_[648] = vX_[752] * x_in[35];
+ vX_[631] = vX_[645] * x_in[35];
+ vX_[694] = vX_[604] * vX_[793] + vX_[756] * vX_[663];
+ vX_[693] = vX_[775] * vX_[663];
+ vX_[691] = vX_[45] * vX_[793] - vX_[13] * vX_[663];
+ vX_[690] = vX_[621] * vX_[751] + vX_[751] * vX_[621];
+ vX_[774] = -0.881 * (vX_[103] - vX_[591]) + 0.1104774 * vX_[628] + 8.81e-05 * vX_[736] + 0.414812462825713 * vX_[697] + -0.00185880198235362 * vX_[648] + -8.81e-05 * vX_[631] + (0.1104774 * vX_[623]) / 0.026181 - (vX_[772] * vX_[683] + vX_[694] * vX_[741]) - (vX_[777] * vX_[652] + (vX_[774] * vX_[793] - vX_[693]) * vX_[908]) - (vX_[778] * vX_[585] + vX_[691] * vX_[858]) - -0.0004405 * vX_[690];
+ vX_[677] = vX_[751] * vX_[855];
+ vX_[675] = (- vX_[751]) * x_in[35];
+ vX_[604] = vX_[604] * vX_[663];
+ vX_[782] = vX_[782] * vX_[663] - vX_[775] * vX_[793];
+ vX_[45] = vX_[45] * vX_[663];
+ vX_[775] = vX_[1211] * vX_[645] + vX_[645] * vX_[1211];
+ vX_[628] = 0.881 * vX_[642] + 8.81e-05 * vX_[677] + -0.0004405 * vX_[628] + -0.00185880198235362 * vX_[697] + 0.880992588508842 * vX_[648] + 8.81e-05 * vX_[675] + (0.0004405 * vX_[623]) / 0.026181 - (vX_[781] * vX_[683] + (vX_[756] * vX_[793] - vX_[604]) * vX_[741]) - (vX_[783] * vX_[652] + vX_[782] * vX_[908]) - (vX_[786] * vX_[585] + (vX_[784] * vX_[793] - vX_[45]) * vX_[858]) - 0.1104774 * vX_[775];
+ vX_[738] = (0.026181 * vX_[623]) / 0.026181 + vX_[738] + vX_[766] * vX_[774] + vX_[734] * vX_[964] + vX_[25] * vX_[628] + vX_[728] * vX_[869];
+ vX_[784] = 0 - vX_[738];
+ vX_[671] = -0.35 * vX_[663];
+ vX_[669] = 0.880992588508842 * vX_[728] - -0.00185880198235362 * vX_[671];
+ vX_[666] = -0.00185880198235362 * vX_[728] - 0.414812462825713 * vX_[671];
+ vX_[35] = vX_[35] * vX_[728] + vX_[669] * vX_[25] - (vX_[31] * vX_[671] + vX_[666] * vX_[27]);
+ vX_[31] = -8.81e-05 * vX_[793];
+ vX_[664] = 8.81e-05 * vX_[663];
+ vX_[681] = 0.881 * vX_[671];
+ vX_[666] = vX_[666] + vX_[681];
+ vX_[640] = - 0.881 * vX_[728];
+ vX_[669] = vX_[669] + vX_[640];
+ vX_[636] = - vX_[681];
+ vX_[634] = vX_[15] * vX_[636] + vX_[663] * vX_[33] + vX_[20] * vX_[640] + vX_[82] * vX_[37];
+ vX_[632] = vX_[34] * vX_[663] + vX_[666] * vX_[15] + vX_[38] * vX_[793] + vX_[669] * vX_[23] + vX_[634];
+ vX_[629] = (vX_[632] - vX_[43] * vX_[35]) / vX_[42];
+ vX_[651] = 8.81e-05 * vX_[728];
+ vX_[646] = 2. * vX_[651];
+ vX_[737] = - -8.81e-05 * vX_[671];
+ vX_[733] = 2. * vX_[737];
+ vX_[651] = - vX_[651];
+ vX_[732] = vX_[16] * vX_[663] + vX_[646] * vX_[15] + vX_[29] * vX_[793] + vX_[733] * vX_[23] + vX_[20] * vX_[737] + vX_[82] * vX_[28] + vX_[15] * vX_[651] + vX_[663] * vX_[24];
+ vX_[729] = vX_[47] * vX_[663] + vX_[31] * vX_[15] + vX_[48] * vX_[793] + vX_[664] * vX_[23] - (vX_[49] * vX_[629] + vX_[732] * vX_[43]);
+ vX_[727] = -8.81e-05 * vX_[663];
+ vX_[725] = 8.81e-05 * vX_[82];
+ vX_[651] = vX_[16] * vX_[82] + vX_[646] * vX_[20] + vX_[29] * vX_[663] + vX_[733] * vX_[15] - (vX_[15] * vX_[737] + vX_[663] * vX_[28]) - (vX_[23] * vX_[651] + vX_[793] * vX_[24]);
+ vX_[733] = vX_[14] * vX_[663] + vX_[727] * vX_[15] + vX_[17] * vX_[793] + vX_[725] * vX_[23] - (vX_[30] * vX_[629] + vX_[651] * vX_[43]);
+ vX_[737] = -7.4114911576828e-06 * vX_[793] + -0.00185880198235362 * vX_[663];
+ vX_[646] = -0.00185880198235362 * vX_[793] + -0.466187537174287 * vX_[663];
+ vX_[24] = vX_[74] * vX_[793] + vX_[737] * vX_[23] + vX_[75] * vX_[663] + vX_[646] * vX_[15];
+ vX_[29] = vX_[24] - (vX_[40] * vX_[629] + vX_[632] * vX_[43]);
+ vX_[636] = vX_[23] * vX_[636] + vX_[793] * vX_[33] + vX_[15] * vX_[640] + vX_[663] * vX_[37];
+ vX_[669] = vX_[34] * vX_[82] + vX_[666] * vX_[20] + vX_[38] * vX_[663] + vX_[669] * vX_[15] - vX_[636];
+ vX_[646] = vX_[75] * vX_[82] + vX_[646] * vX_[20] + vX_[74] * vX_[663] + vX_[737] * vX_[15] - (vX_[53] * vX_[629] + vX_[669] * vX_[43]);
+ vX_[724] = vX_[15] * vX_[774] + vX_[663] * vX_[964] + vX_[23] * vX_[628] + vX_[793] * vX_[869] + vX_[729] * vX_[962] + vX_[733] * vX_[720] + vX_[29] * vX_[974] + vX_[646] * vX_[655] + (vX_[40] * vX_[784] + vX_[632] * vX_[600] - vX_[724] * vX_[35]) / vX_[42];
+ vX_[737] = (vX_[669] - vX_[54] * vX_[35]) / vX_[42];
+ vX_[664] = vX_[47] * vX_[82] + vX_[31] * vX_[20] + vX_[48] * vX_[663] + vX_[664] * vX_[15] - (vX_[49] * vX_[737] + vX_[732] * vX_[54]);
+ vX_[725] = vX_[14] * vX_[82] + vX_[727] * vX_[20] + vX_[17] * vX_[663] + vX_[725] * vX_[15] - (vX_[30] * vX_[737] + vX_[651] * vX_[54]);
+ vX_[737] = 0 - vX_[24] - (vX_[53] * vX_[737] + vX_[669] * vX_[54]);
+ vX_[628] = vX_[791] * vX_[774] + vX_[761] * vX_[964] + vX_[15] * vX_[628] + vX_[663] * vX_[869] + vX_[664] * vX_[962] + vX_[725] * vX_[720] + vX_[646] * vX_[974] + vX_[737] * vX_[655] + (vX_[53] * vX_[784] + vX_[669] * vX_[600] - vX_[747] * vX_[35]) / vX_[42];
+ vX_[774] = vX_[67] * vX_[737] - vX_[66] * vX_[646];
+ vX_[747] = vX_[67] * vX_[646] - vX_[66] * vX_[29];
+ vX_[869] = vX_[774] * vX_[67] - vX_[747] * vX_[66];
+ vX_[964] = vX_[725] * vX_[67] - vX_[733] * vX_[66];
+ vX_[24] = vX_[664] * vX_[67] - vX_[729] * vX_[66];
+ vX_[54] = - vX_[24];
+ vX_[727] = vX_[46] * vX_[964] + vX_[13] * vX_[54];
+ vX_[681] = -0.2209548 * vX_[671] + vX_[32] * vX_[671] + vX_[681] * vX_[27] - vX_[35];
+ vX_[32] = 0 - -0.000881 * vX_[728] - (vX_[36] * vX_[728] + vX_[640] * vX_[25]) - vX_[35];
+ vX_[640] = -0.0004405 * vX_[671] + vX_[36] * vX_[671] + vX_[640] * vX_[27] - -0.1104774 * vX_[728];
+ vX_[61] = vX_[23] * vX_[32] + vX_[793] * vX_[61] + vX_[15] * vX_[640] + vX_[663] * vX_[58];
+ vX_[640] = vX_[23] * vX_[640] + vX_[793] * vX_[58] + vX_[15] * vX_[681] + vX_[663] * vX_[59];
+ vX_[59] = vX_[62] * vX_[793] + vX_[61] * vX_[23] + vX_[60] * vX_[663] + vX_[640] * vX_[15];
+ vX_[32] = vX_[681] + vX_[32] + vX_[35] - vX_[59] - (vX_[30] * (vX_[651] - vX_[84] * vX_[35]) / vX_[42] + vX_[651] * vX_[84]);
+ vX_[681] = vX_[32] - 2. * vX_[636] * vX_[67] - vX_[869];
+ vX_[84] = (vX_[732] - vX_[63] * vX_[35]) / vX_[42];
+ vX_[640] = vX_[60] * vX_[82] + vX_[640] * vX_[20] + vX_[62] * vX_[663] + vX_[61] * vX_[15] - (vX_[30] * vX_[84] + vX_[651] * vX_[63]);
+ vX_[634] = 0 - vX_[634];
+ vX_[61] = vX_[640] + vX_[636] * vX_[66] - vX_[634] * vX_[67];
+ vX_[62] = vX_[46] * vX_[681] + vX_[65] * vX_[61];
+ vX_[84] = vX_[35] + vX_[59] - (vX_[49] * vX_[84] + vX_[732] * vX_[63]);
+ vX_[66] = 2. * vX_[634] * vX_[66] + vX_[84] - vX_[869];
+ vX_[61] = vX_[46] * vX_[61] + vX_[65] * vX_[66];
+ vX_[59] = vX_[62] * vX_[46] + vX_[61] * vX_[65];
+ vX_[63] = vX_[869] + vX_[59];
+ vX_[60] = (vX_[727] - vX_[492] * vX_[63]) / vX_[92];
+ vX_[58] = vX_[869] - (vX_[128] * vX_[60] + vX_[727] * vX_[492]);
+ vX_[61] = vX_[61] * vX_[46] + vX_[62] * vX_[13];
+ vX_[60] = 2. * vX_[24] * vX_[46] + 2. * vX_[964] * vX_[13] + vX_[65] * vX_[964] + vX_[46] * vX_[54] - (vX_[87] * vX_[60] + vX_[61] * vX_[492]);
+ vX_[54] = - vX_[634];
+ vX_[24] = vX_[13] * vX_[54] + vX_[46] * vX_[636];
+ vX_[964] = (vX_[24] - vX_[106] * vX_[63]) / vX_[92];
+ vX_[492] = -(vX_[128] * vX_[964] + vX_[727] * vX_[106]);
+ vX_[747] = vX_[747] + vX_[634];
+ vX_[774] = vX_[774] + vX_[636];
+ vX_[54] = vX_[46] * vX_[54] + vX_[65] * vX_[636];
+ vX_[62] = vX_[46] * vX_[725] + vX_[65] * vX_[664];
+ vX_[671] = vX_[46] * vX_[733] + vX_[65] * vX_[729];
+ vX_[36] = vX_[62] * vX_[13] + vX_[671] * vX_[46];
+ vX_[27] = (vX_[36] - vX_[93] * vX_[63]) / vX_[92];
+ vX_[17] = vX_[747] * vX_[46] + vX_[774] * vX_[13] + vX_[54] - (vX_[128] * vX_[27] + vX_[727] * vX_[93]);
+ vX_[769] = vX_[765] * vX_[683] + vX_[763] * vX_[741] - (vX_[771] * vX_[652] + vX_[769] * vX_[908]);
+ vX_[752] = vX_[621] * vX_[752] + vX_[751] * vX_[857] - (vX_[1211] * vX_[596] + vX_[645] * vX_[960]);
+ vX_[691] = 8.81e-05 * vX_[642] + 8.81e-05 * vX_[648] + 0.026409 * vX_[675] - (vX_[772] * vX_[758] + vX_[694] * vX_[851]) - (vX_[776] * vX_[586] + (vX_[792] * vX_[793] - vX_[693]) * vX_[743]) - (vX_[778] * vX_[769] + vX_[691] * vX_[754]) - (vX_[800] * vX_[683] + (vX_[796] * vX_[793] + vX_[799] * vX_[663]) * vX_[741]) - (vX_[807] * vX_[652] + (vX_[803] * vX_[793] + vX_[806] * vX_[663]) * vX_[908]) - (vX_[812] * vX_[585] + (vX_[809] * vX_[793] - vX_[811] * vX_[663]) * vX_[858]) - 0.1104774 * vX_[752] - 0.025713 * vX_[677];
+ vX_[769] = -0.0004405 * vX_[752] + 8.81e-05 * (vX_[103] - vX_[591]) + -0.000227999999999999 * vX_[736] + -8.81e-05 * vX_[697] + 0.000468 * vX_[631] - (vX_[780] * vX_[758] + (vX_[756] * vX_[793] - vX_[604]) * vX_[851]) - (vX_[783] * vX_[586] + vX_[782] * vX_[743]) - (vX_[785] * vX_[769] + (vX_[814] * vX_[793] - vX_[45]) * vX_[754]) - (vX_[821] * vX_[683] + (vX_[817] * vX_[793] + vX_[820] * vX_[663]) * vX_[741]) - (vX_[828] * vX_[652] + (vX_[824] * vX_[793] + vX_[827] * vX_[663]) * vX_[908]) - (vX_[833] * vX_[585] + (vX_[830] * vX_[663] - vX_[832] * vX_[793]) * vX_[858]);
+ vX_[752] = 0.881 * vX_[752] + 0.1104774 * vX_[677] + -0.0004405 * vX_[736] + -0.1104774 * vX_[675] + -0.0004405 * vX_[631] - vX_[96] * vX_[683] - vX_[26] * vX_[652] - 8.81e-05 * (vX_[775] + vX_[690]);
+ vX_[84] = vX_[15] * vX_[691] + vX_[663] * vX_[914] + vX_[23] * vX_[769] + vX_[793] * vX_[844] + -0.35 * vX_[752] + vX_[84] * vX_[962] + vX_[640] * vX_[720] + vX_[729] * vX_[974] + vX_[664] * vX_[655] + (vX_[49] * vX_[784] + vX_[732] * vX_[600] - vX_[911] * vX_[35]) / vX_[42];
+ vX_[769] = vX_[20] * vX_[691] + vX_[82] * vX_[914] + vX_[15] * vX_[769] + vX_[663] * vX_[844] + vX_[640] * vX_[962] + vX_[32] * vX_[720] + vX_[733] * vX_[974] + vX_[725] * vX_[655] + (vX_[30] * vX_[784] + vX_[651] * vX_[600] - vX_[731] * vX_[35]) / vX_[42];
+ vX_[752] = vX_[752] + vX_[634] * vX_[962] + vX_[636] * vX_[720];
+ vX_[634] = vX_[65] * vX_[84] + vX_[46] * vX_[769] + 0.08 * vX_[752];
+ vX_[636] = 0 - vX_[634];
+ vX_[738] = (vX_[42] * vX_[784] + vX_[35] * vX_[600] - vX_[462] * vX_[35]) / vX_[42] + vX_[738] + vX_[789] * vX_[724] + vX_[67] * vX_[628] + vX_[58] * vX_[696] + vX_[60] * vX_[686] + vX_[492] * vX_[606] + vX_[17] * vX_[599] + (vX_[128] * vX_[636] + vX_[727] * vX_[876] - vX_[576] * vX_[63]) / vX_[92];
+ vX_[59] = vX_[66] + vX_[681] + vX_[869] - vX_[59] - (vX_[87] * (vX_[61] - vX_[501] * vX_[63]) / vX_[92] + vX_[61] * vX_[501]);
+ vX_[54] = 0 - vX_[54] - (vX_[87] * vX_[964] + vX_[61] * vX_[106]);
+ vX_[733] = vX_[13] * vX_[733] + vX_[46] * vX_[729];
+ vX_[725] = vX_[13] * vX_[725] + vX_[46] * vX_[664];
+ vX_[664] = vX_[733] * vX_[46] + vX_[725] * vX_[13] - (vX_[87] * vX_[27] + vX_[61] * vX_[93]);
+ vX_[769] = vX_[46] * vX_[84] + vX_[13] * vX_[769] + vX_[60] * vX_[696] + vX_[59] * vX_[686] + vX_[54] * vX_[606] + vX_[664] * vX_[599] + (vX_[87] * vX_[636] + vX_[61] * vX_[876] - vX_[9] * vX_[63]) / vX_[92];
+ vX_[671] = vX_[62] * vX_[46] + vX_[671] * vX_[65];
+ vX_[62] = (vX_[671] - vX_[114] * vX_[63]) / vX_[92];
+ vX_[774] = vX_[747] * vX_[65] + vX_[774] * vX_[46] - vX_[24] - (vX_[128] * vX_[62] + vX_[727] * vX_[114]);
+ vX_[725] = vX_[733] * vX_[65] + vX_[725] * vX_[46] - (vX_[87] * vX_[62] + vX_[61] * vX_[114]);
+ vX_[733] = -(vX_[105] * vX_[62] + vX_[24] * vX_[114]);
+ vX_[747] = vX_[46] * vX_[646] + vX_[65] * vX_[29];
+ vX_[646] = vX_[46] * vX_[737] + vX_[65] * vX_[646];
+ vX_[84] = vX_[747] * vX_[46] + vX_[646] * vX_[13] - (vX_[90] * vX_[62] + vX_[36] * vX_[114]);
+ vX_[489] = vX_[746] * vX_[724] + vX_[613] * vX_[628] + vX_[774] * vX_[696] + vX_[725] * vX_[686] + vX_[733] * vX_[606] + vX_[84] * vX_[599] + (vX_[113] * vX_[636] + vX_[671] * vX_[876] - vX_[489] * vX_[63]) / vX_[92];
+ vX_[9] = -(vX_[105] * vX_[964] + vX_[24] * vX_[106]);
+ vX_[964] = -(vX_[90] * vX_[964] + vX_[36] * vX_[106]);
+ vX_[752] = vX_[752] + vX_[492] * vX_[696] + vX_[54] * vX_[686] + vX_[9] * vX_[606] + vX_[964] * vX_[599] + (vX_[105] * vX_[636] + vX_[24] * vX_[876] - vX_[707] * vX_[63]) / vX_[92];
+ vX_[646] = vX_[646] * vX_[46] + vX_[747] * vX_[65];
+ vX_[27] = vX_[29] + vX_[737] - vX_[646] - (vX_[90] * vX_[27] + vX_[36] * vX_[93]);
+ vX_[628] = vX_[835] * vX_[724] + vX_[13] * vX_[628] + vX_[17] * vX_[696] + vX_[664] * vX_[686] + vX_[964] * vX_[606] + vX_[27] * vX_[599] + (vX_[90] * vX_[636] + vX_[36] * vX_[876] - vX_[605] * vX_[63]) / vX_[92];
+ vX_[646] = vX_[646] - (vX_[113] * vX_[62] + vX_[671] * vX_[114]);
+ vX_[62] = vX_[120] * vX_[646] - vX_[100] * vX_[84];
+ vX_[114] = vX_[120] * vX_[84] - vX_[100] * vX_[27];
+ vX_[724] = vX_[95] * vX_[27] - vX_[120] * vX_[964];
+ vX_[605] = vX_[95] * vX_[964] - vX_[120] * vX_[9];
+ vX_[599] = vX_[724] * vX_[95] - vX_[605] * vX_[120];
+ vX_[58] = 2. * vX_[774] * vX_[120] + vX_[58] + vX_[62] * vX_[120] - 2. * vX_[17] * vX_[100] - vX_[114] * vX_[100] - vX_[599];
+ vX_[606] = vX_[100] * vX_[9] - vX_[95] * vX_[733];
+ vX_[686] = vX_[100] * vX_[733] - vX_[95] * vX_[646];
+ vX_[59] = 2. * vX_[54] * vX_[100] + vX_[59] + vX_[606] * vX_[100] - 2. * vX_[725] * vX_[95] - vX_[686] * vX_[95] - vX_[599];
+ vX_[696] = vX_[100] * vX_[964];
+ vX_[737] = vX_[95] * vX_[84];
+ vX_[29] = vX_[696] - vX_[737];
+ vX_[60] = vX_[492] * vX_[100] + vX_[60] + vX_[725] * vX_[120] + vX_[686] * vX_[120] - vX_[664] * vX_[100] - vX_[774] * vX_[95] - vX_[29] * vX_[100];
+ vX_[100] = vX_[96] * vX_[60];
+ vX_[93] = (vX_[96] * vX_[59] + vX_[26] * vX_[60]) * vX_[96] + (vX_[100] + vX_[26] * vX_[58]) * vX_[26];
+ vX_[100] = vX_[98] * vX_[59] + vX_[100];
+ vX_[60] = vX_[98] * vX_[60] + vX_[96] * vX_[58];
+ vX_[747] = vX_[100] * vX_[98] + vX_[60] * vX_[96];
+ vX_[59] = vX_[58] + vX_[59] + vX_[599] - vX_[93] - vX_[747];
+ vX_[634] = ((vX_[92] * vX_[636] + vX_[63] * vX_[876] - vX_[702] * vX_[63]) / vX_[92] + vX_[634] + vX_[136] * vX_[752] + vX_[95] * vX_[628] - vX_[1518] * vX_[59]) / vX_[583];
+ vX_[702] = vX_[120] * vX_[733];
+ vX_[696] = vX_[702] - vX_[696];
+ vX_[876] = vX_[492] * vX_[120] + vX_[696] * vX_[120] - vX_[17] * vX_[95] - vX_[114] * vX_[95];
+ vX_[120] = vX_[664] * vX_[95] + vX_[29] * vX_[95] - vX_[54] * vX_[120] - vX_[606] * vX_[120];
+ vX_[58] = vX_[98] * vX_[876] + vX_[96] * vX_[120];
+ vX_[707] = (vX_[58] - vX_[1567] * vX_[59]) / vX_[583];
+ vX_[93] = vX_[599] + vX_[93] - (vX_[1566] * vX_[707] + vX_[58] * vX_[1567]);
+ vX_[106] = (vX_[26] * vX_[738] + vX_[96] * vX_[769] + vX_[97] * vX_[752] + vX_[1569] * vX_[628] - (vX_[1566] * vX_[634] + vX_[58] * vX_[1518]) - vX_[1677] * vX_[93]) / vX_[580];
+ vX_[60] = vX_[100] * vX_[96] + vX_[60] * vX_[26];
+ vX_[120] = 0 - vX_[26] * vX_[120] - vX_[96] * vX_[876];
+ vX_[876] = vX_[60] - (vX_[490] * vX_[707] + vX_[120] * vX_[1567]);
+ vX_[100] = (vX_[120] - vX_[584] * vX_[59]) / vX_[583];
+ vX_[60] = (vX_[60] - (vX_[1566] * vX_[100] + vX_[58] * vX_[584]) - vX_[1565] * vX_[93]) / vX_[580];
+ vX_[747] = vX_[599] + vX_[747] - (vX_[1568] * vX_[60] + vX_[876] * vX_[1565]) - (vX_[490] * vX_[100] + vX_[120] * vX_[584]);
+ vX_[769] = (vX_[96] * vX_[738] + vX_[98] * vX_[769] + 0.207 * vX_[489] + vX_[99] * vX_[752] + vX_[834] * vX_[628] - (vX_[1568] * vX_[106] + vX_[876] * vX_[1677]) - (vX_[490] * vX_[634] + vX_[120] * vX_[1518]) - vX_[1201] * vX_[747]) / vX_[582];
+ vX_[606] = vX_[606] + vX_[54];
+ vX_[702] = vX_[737] - vX_[702];
+ vX_[696] = vX_[492] + vX_[696] - vX_[702];
+ vX_[492] = vX_[96] * vX_[606] + vX_[26] * vX_[696];
+ vX_[29] = vX_[664] + vX_[29] - vX_[702];
+ vX_[114] = vX_[114] + vX_[17];
+ vX_[17] = vX_[96] * vX_[29] + vX_[26] * vX_[114];
+ vX_[664] = vX_[492] * vX_[26] + vX_[17] * vX_[96] + vX_[702];
+ vX_[62] = vX_[62] + vX_[774];
+ vX_[605] = vX_[605] + vX_[62];
+ vX_[686] = vX_[686] + vX_[725];
+ vX_[724] = vX_[724] + vX_[686];
+ vX_[62] = - vX_[62];
+ vX_[725] = vX_[98] * vX_[62] + vX_[96] * vX_[686];
+ vX_[774] = vX_[605] * vX_[26] + vX_[724] * vX_[96] - vX_[725];
+ vX_[737] = vX_[664] - (vX_[1611] * vX_[707] + vX_[774] * vX_[1567]);
+ vX_[114] = vX_[98] * vX_[29] + vX_[96] * vX_[114];
+ vX_[696] = vX_[98] * vX_[606] + vX_[96] * vX_[696];
+ vX_[606] = vX_[114] * vX_[96] + vX_[696] * vX_[26];
+ vX_[29] = vX_[606] - (vX_[1587] * vX_[60] + vX_[737] * vX_[1565]) - (vX_[1611] * vX_[100] + vX_[774] * vX_[584]);
+ vX_[54] = vX_[725] - (vX_[1630] * vX_[707] + vX_[702] * vX_[1567]);
+ vX_[62] = vX_[96] * vX_[62] + vX_[26] * vX_[686];
+ vX_[686] = - vX_[62];
+ vX_[738] = vX_[686] - (vX_[1610] * vX_[60] + vX_[54] * vX_[1565]) - (vX_[1630] * vX_[100] + vX_[702] * vX_[584]);
+ vX_[9] = vX_[9] - vX_[646];
+ vX_[27] = vX_[27] - vX_[646];
+ vX_[599] = vX_[96] * vX_[964];
+ vX_[729] = (vX_[96] * vX_[27] + vX_[26] * vX_[964]) * vX_[96] + (vX_[599] + vX_[26] * vX_[9]) * vX_[26];
+ vX_[599] = vX_[98] * vX_[27] + vX_[599];
+ vX_[964] = vX_[98] * vX_[964] + vX_[96] * vX_[9];
+ vX_[66] = vX_[599] * vX_[98] + vX_[964] * vX_[96];
+ vX_[681] = (vX_[702] - vX_[1593] * vX_[59]) / vX_[583];
+ vX_[725] = (vX_[725] - (vX_[1566] * vX_[681] + vX_[58] * vX_[1593]) - vX_[1619] * vX_[93]) / vX_[580];
+ vX_[686] = (vX_[686] - (vX_[1568] * vX_[725] + vX_[876] * vX_[1619]) - (vX_[490] * vX_[681] + vX_[120] * vX_[1593]) - vX_[1628] * vX_[747]) / vX_[582];
+ vX_[27] = vX_[9] + vX_[27] + vX_[646] - vX_[729] - vX_[66] - (vX_[1610] * vX_[725] + vX_[54] * vX_[1619]) - (vX_[1630] * vX_[681] + vX_[702] * vX_[1593]) - (vX_[1627] * vX_[686] + vX_[738] * vX_[1628]);
+ vX_[489] = (vX_[489] - (vX_[1610] * vX_[106] + vX_[54] * vX_[1677]) - (vX_[1630] * vX_[634] + vX_[702] * vX_[1518]) - (vX_[1627] * vX_[769] + vX_[738] * vX_[1201]) - vX_[1110] * vX_[27]) / vX_[1657];
+ vX_[733] = - vX_[733];
+ vX_[9] = vX_[98] * vX_[733] + vX_[96] * vX_[84];
+ vX_[869] = vX_[9] - (vX_[1587] * vX_[725] + vX_[737] * vX_[1619]) - (vX_[1611] * vX_[681] + vX_[774] * vX_[1593]) - (vX_[1575] * vX_[686] + vX_[29] * vX_[1628]);
+ vX_[501] = (vX_[774] - vX_[1612] * vX_[59]) / vX_[583];
+ vX_[664] = (vX_[664] - (vX_[1566] * vX_[501] + vX_[58] * vX_[1612]) - vX_[1613] * vX_[93]) / vX_[580];
+ vX_[606] = (vX_[606] - (vX_[1568] * vX_[664] + vX_[876] * vX_[1613]) - (vX_[490] * vX_[501] + vX_[120] * vX_[1612]) - vX_[1614] * vX_[747]) / vX_[582];
+ vX_[9] = (vX_[9] - (vX_[1610] * vX_[664] + vX_[54] * vX_[1613]) - (vX_[1630] * vX_[501] + vX_[702] * vX_[1612]) - (vX_[1627] * vX_[606] + vX_[738] * vX_[1614]) - vX_[1599] * vX_[27]) / vX_[1657];
+ vX_[729] = vX_[646] + vX_[729] - (vX_[1587] * vX_[664] + vX_[737] * vX_[1613]) - (vX_[1611] * vX_[501] + vX_[774] * vX_[1612]) - (vX_[1575] * vX_[606] + vX_[29] * vX_[1614]) - (vX_[1629] * vX_[9] + vX_[869] * vX_[1599]);
+ vX_[576] = (vX_[26] * vX_[752] + vX_[96] * vX_[628] - (vX_[1587] * vX_[106] + vX_[737] * vX_[1677]) - (vX_[1611] * vX_[634] + vX_[774] * vX_[1518]) - (vX_[1575] * vX_[769] + vX_[29] * vX_[1201]) - (vX_[1629] * vX_[489] + vX_[869] * vX_[1110]) - vX_[1691] * vX_[729]) / vX_[1654];
+ vX_[17] = vX_[17] * vX_[98] + vX_[492] * vX_[96];
+ vX_[62] = vX_[605] * vX_[96] + vX_[724] * vX_[98] + vX_[62];
+ vX_[724] = vX_[17] - (vX_[1626] * vX_[707] + vX_[62] * vX_[1567]);
+ vX_[696] = vX_[696] * vX_[96] + vX_[114] * vX_[98] + vX_[702];
+ vX_[114] = vX_[696] - (vX_[748] * vX_[60] + vX_[724] * vX_[1565]) - (vX_[1626] * vX_[100] + vX_[62] * vX_[584]);
+ vX_[733] = 0 - vX_[26] * vX_[84] - vX_[96] * vX_[733];
+ vX_[84] = vX_[733] - (vX_[748] * vX_[725] + vX_[724] * vX_[1619]) - (vX_[1626] * vX_[681] + vX_[62] * vX_[1593]) - (vX_[484] * vX_[686] + vX_[114] * vX_[1628]);
+ vX_[964] = vX_[599] * vX_[96] + vX_[964] * vX_[26];
+ vX_[599] = vX_[964] - (vX_[748] * vX_[664] + vX_[724] * vX_[1613]) - (vX_[1626] * vX_[501] + vX_[62] * vX_[1612]) - (vX_[484] * vX_[606] + vX_[114] * vX_[1614]) - (vX_[1664] * vX_[9] + vX_[84] * vX_[1599]);
+ vX_[59] = (vX_[62] - vX_[1658] * vX_[59]) / vX_[583];
+ vX_[17] = (vX_[17] - (vX_[1566] * vX_[59] + vX_[58] * vX_[1658]) - vX_[1659] * vX_[93]) / vX_[580];
+ vX_[696] = (vX_[696] - (vX_[1568] * vX_[17] + vX_[876] * vX_[1659]) - (vX_[490] * vX_[59] + vX_[120] * vX_[1658]) - vX_[1660] * vX_[747]) / vX_[582];
+ vX_[733] = (vX_[733] - (vX_[1610] * vX_[17] + vX_[54] * vX_[1659]) - (vX_[1630] * vX_[59] + vX_[702] * vX_[1658]) - (vX_[1627] * vX_[696] + vX_[738] * vX_[1660]) - vX_[1665] * vX_[27]) / vX_[1657];
+ vX_[964] = (vX_[964] - (vX_[1587] * vX_[17] + vX_[737] * vX_[1659]) - (vX_[1611] * vX_[59] + vX_[774] * vX_[1658]) - (vX_[1575] * vX_[696] + vX_[29] * vX_[1660]) - (vX_[1629] * vX_[733] + vX_[869] * vX_[1665]) - vX_[1666] * vX_[729]) / vX_[1654];
+ vX_[599] = (vX_[96] * vX_[752] + vX_[1667] * vX_[628] - (vX_[748] * vX_[106] + vX_[724] * vX_[1677]) - (vX_[1626] * vX_[634] + vX_[62] * vX_[1518]) - (vX_[484] * vX_[769] + vX_[114] * vX_[1201]) - (vX_[1664] * vX_[489] + vX_[84] * vX_[1110]) - (vX_[1584] * vX_[576] + vX_[599] * vX_[1691]) - vX_[471] * (vX_[646] + vX_[66] - (vX_[748] * vX_[17] + vX_[724] * vX_[1659]) - (vX_[1626] * vX_[59] + vX_[62] * vX_[1658]) - (vX_[484] * vX_[696] + vX_[114] * vX_[1660]) - (vX_[1664] * vX_[733] + vX_[84] * vX_[1665]) - (vX_[1584] * vX_[964] + vX_[599] * vX_[1666]))) / vX_[1656];
+ jac[635] = - vX_[599];
+ vX_[964] = vX_[576] - (vX_[1666] * vX_[599] + vX_[964] * vX_[471]);
+ jac[634] = - vX_[964];
+ vX_[733] = vX_[489] - (vX_[1665] * vX_[599] + vX_[733] * vX_[471]) - (vX_[1599] * vX_[964] + vX_[9] * vX_[1353]);
+ jac[633] = - vX_[733];
+ vX_[696] = vX_[769] - (vX_[1614] * vX_[964] + vX_[606] * vX_[1353]) - (vX_[1628] * vX_[733] + vX_[686] * vX_[546]) - (vX_[1660] * vX_[599] + vX_[696] * vX_[471]);
+ jac[632] = - vX_[696];
+ vX_[17] = vX_[106] - (vX_[1619] * vX_[733] + vX_[725] * vX_[546]) - (vX_[1565] * vX_[696] + vX_[60] * vX_[536]) - (vX_[1613] * vX_[964] + vX_[664] * vX_[1353]) - (vX_[1659] * vX_[599] + vX_[17] * vX_[471]);
+ jac[630] = vX_[584] * vX_[696] + vX_[100] * vX_[536] + vX_[1567] * vX_[17] + vX_[707] * vX_[1338] + vX_[1593] * vX_[733] + vX_[681] * vX_[546] + vX_[1612] * vX_[964] + vX_[501] * vX_[1353] + vX_[1658] * vX_[599] + vX_[59] * vX_[471] - vX_[634];
+ jac[631] = - vX_[17];
+ vX_[17] = -1 * jac[630];
+ vX_[696] = vX_[450] * jac[632] + vX_[370] * jac[631];
+ vX_[733] = vX_[370] * jac[632] + vX_[451] * jac[631];
+ vX_[964] = -1 * jac[633];
+ vX_[599] = 0.207 * jac[632] + vX_[964];
+ vX_[59] = vX_[1481] * jac[632] + vX_[1572] * jac[631] + vX_[448] * jac[630] + vX_[1670] * jac[635] + vX_[1618] * jac[634];
+ jac[636] = (0 - vX_[445] * vX_[17] - vX_[482] * vX_[696] - vX_[440] * vX_[733] - vX_[467] * vX_[599] - vX_[459] * (vX_[453] * jac[632] + vX_[452] * jac[631] + vX_[1573] * jac[630] + vX_[450] * jac[635] + vX_[1617] * jac[634]) - vX_[443] * vX_[59]) / vX_[445];
+ vX_[501] = -1 * vX_[696];
+ vX_[681] = vX_[17] + jac[636];
+ vX_[100] = vX_[371] * vX_[599] + vX_[1562] * vX_[59] + vX_[1275] * vX_[696];
+ vX_[59] = vX_[398] * vX_[599] + vX_[371] * vX_[59] + vX_[419] * vX_[696];
+ jac[637] = (0 - vX_[395] * vX_[501] - vX_[402] * (vX_[371] * vX_[681] + vX_[399] * vX_[733]) - vX_[383] * (vX_[398] * vX_[681] + vX_[371] * vX_[733]) - vX_[393] * vX_[100] - vX_[406] * vX_[59]) / vX_[395];
+ vX_[501] = vX_[501] + jac[637];
+ jac[638] = (0 - 0.1104774 * (vX_[372] * vX_[100] + vX_[1520] * vX_[59] + vX_[1517] * vX_[501]) - -0.0004405 * (vX_[374] * vX_[100] + vX_[372] * vX_[59] + vX_[377] * vX_[501]) - 0.026181 * vX_[501]) / 0.026181;
+ vX_[501] = vX_[328] * jac[632] + vX_[249] * jac[631];
+ vX_[59] = vX_[330] * jac[632] + vX_[328] * jac[631];
+ vX_[100] = 0.207 * jac[632] + jac[633];
+ vX_[681] = vX_[1318] * jac[632] + vX_[1571] * jac[631] + vX_[327] * jac[630] + vX_[1669] * jac[635] + vX_[328] * jac[634];
+ jac[639] = (0 - vX_[324] * jac[630] - vX_[360] * vX_[501] - vX_[319] * vX_[59] - vX_[345] * vX_[100] - vX_[337] * (vX_[331] * jac[632] + vX_[329] * jac[631] + vX_[368] * jac[630] + vX_[328] * jac[635] + vX_[249] * jac[634]) - vX_[322] * vX_[681]) / vX_[324];
+ vX_[733] = jac[630] + jac[639];
+ vX_[599] = vX_[1229] * vX_[100] + vX_[1319] * vX_[681] + vX_[1274] * vX_[501];
+ vX_[681] = vX_[698] * vX_[100] + vX_[250] * vX_[681] + vX_[299] * vX_[501];
+ jac[640] = (0 - vX_[274] * vX_[501] - vX_[281] * (vX_[297] * vX_[733] + vX_[278] * vX_[59]) - vX_[262] * (vX_[278] * vX_[733] + vX_[250] * vX_[59]) - vX_[272] * vX_[599] - vX_[285] * vX_[681]) / vX_[274];
+ vX_[501] = vX_[501] + jac[640];
+ jac[641] = (0 - 0.1104774 * (vX_[251] * vX_[599] + vX_[1276] * vX_[681] + vX_[1252] * vX_[501]) - -0.0004405 * (vX_[253] * vX_[599] + vX_[251] * vX_[681] + vX_[256] * vX_[501]) - 0.026181 * vX_[501]) / 0.026181;
+ vX_[501] = vX_[208] * jac[632] + vX_[138] * jac[631];
+ vX_[681] = vX_[138] * jac[632] + vX_[209] * jac[631];
+ vX_[964] = 0.207 * jac[632] + vX_[964];
+ vX_[599] = vX_[998] * jac[632] + vX_[1570] * jac[631] + vX_[206] * jac[630] + vX_[1668] * jac[635] + vX_[1616] * jac[634];
+ jac[642] = (0 - vX_[203] * vX_[17] - vX_[240] * vX_[501] - vX_[198] * vX_[681] - vX_[225] * vX_[964] - vX_[217] * (vX_[211] * jac[632] + vX_[210] * jac[631] + vX_[248] * jac[630] + vX_[208] * jac[635] + vX_[1615] * jac[634]) - vX_[201] * vX_[599]) / vX_[203];
+ vX_[733] = -1 * vX_[501];
+ vX_[17] = vX_[17] + jac[642];
+ vX_[59] = vX_[139] * vX_[964] + vX_[1079] * vX_[599] + vX_[790] * vX_[501];
+ vX_[599] = vX_[159] * vX_[964] + vX_[139] * vX_[599] + vX_[177] * vX_[501];
+ jac[643] = (0 - vX_[156] * vX_[733] - 2.1e-05 * (vX_[139] * vX_[17] + vX_[160] * vX_[681]) - -0.000102 * (vX_[159] * vX_[17] + vX_[139] * vX_[681]) - vX_[154] * vX_[59] - vX_[164] * vX_[599]) / vX_[156];
+ vX_[733] = vX_[733] + jac[643];
+ jac[644] = (0 - 0.110125 * (vX_[142] * vX_[59] + vX_[1037] * vX_[599] + vX_[1034] * vX_[733]) - 0.000881 * (vX_[140] * vX_[59] + vX_[142] * vX_[599] + vX_[141] * vX_[733]) - 0.026181 * vX_[733]) / 0.026181;
+ vX_[733] = vX_[96] * jac[632] + vX_[26] * jac[631];
+ vX_[599] = vX_[98] * jac[632] + vX_[96] * jac[631];
+ vX_[59] = 0.207 * jac[632] + jac[633];
+ vX_[17] = vX_[834] * jac[632] + vX_[1569] * jac[631] + vX_[95] * jac[630] + vX_[1667] * jac[635] + vX_[96] * jac[634];
+ jac[645] = (vX_[636] - (vX_[92] * jac[630] + vX_[63] * vX_[624]) - (vX_[128] * vX_[733] + vX_[727] * vX_[109]) - (vX_[87] * vX_[599] + vX_[61] * vX_[126]) - (vX_[113] * vX_[59] + vX_[671] * vX_[426]) - (vX_[105] * (vX_[99] * jac[632] + vX_[97] * jac[631] + vX_[136] * jac[630] + vX_[96] * jac[635] + vX_[26] * jac[634]) + vX_[24] * vX_[79]) - (vX_[90] * vX_[17] + vX_[36] * vX_[544]) - vX_[1632] * vX_[63]) / vX_[92];
+ vX_[671] = jac[630] + jac[645];
+ vX_[962] = vX_[65] * vX_[639] + vX_[46] * vX_[126] + vX_[962];
+ vX_[639] = vX_[46] * vX_[639] + vX_[13] * vX_[126] + vX_[720];
+ vX_[126] = vX_[746] * vX_[59] + vX_[835] * vX_[17] + vX_[789] * vX_[733];
+ vX_[974] = vX_[746] * vX_[426] + vX_[835] * vX_[544] + vX_[789] * vX_[109] + vX_[974];
+ vX_[17] = vX_[613] * vX_[59] + vX_[13] * vX_[17] + vX_[67] * vX_[733];
+ vX_[544] = vX_[613] * vX_[426] + vX_[13] * vX_[544] + vX_[67] * vX_[109] + vX_[655];
+ vX_[600] = (vX_[600] - vX_[42] * vX_[109] - vX_[49] * vX_[962] - vX_[30] * vX_[639] - vX_[40] * vX_[974] - vX_[53] * vX_[544]) / vX_[42];
+ jac[646] = (vX_[784] - (vX_[42] * vX_[733] + vX_[35] * vX_[109]) - (vX_[49] * (vX_[65] * vX_[671] + vX_[46] * vX_[599]) + vX_[732] * vX_[962]) - (vX_[30] * (vX_[46] * vX_[671] + vX_[13] * vX_[599]) + vX_[651] * vX_[639]) - (vX_[40] * vX_[126] + vX_[632] * vX_[974]) - (vX_[53] * vX_[17] + vX_[669] * vX_[544]) - vX_[600] * vX_[35]) / vX_[42];
+ vX_[733] = vX_[733] + jac[646];
+ vX_[600] = vX_[109] + vX_[600];
+ jac[647] = (vX_[623] - 0.1104774 * (vX_[15] * vX_[126] + vX_[663] * vX_[974] + vX_[791] * vX_[17] + vX_[761] * vX_[544] + vX_[766] * vX_[733] + vX_[734] * vX_[600] + vX_[697]) - 0.0004405 * (vX_[23] * vX_[126] + vX_[793] * vX_[974] + vX_[15] * vX_[17] + vX_[663] * vX_[544] + vX_[25] * vX_[733] + vX_[728] * vX_[600] + vX_[648]) - 0.026181 * vX_[733]) / 0.026181;
+ vX_[600] = 0 - (vX_[892] * vX_[136] + vX_[1210]);
+ vX_[733] = vX_[892] + vX_[892];
+ vX_[544] = vX_[13] * vX_[95];
+ vX_[17] = vX_[625] * vX_[544];
+ vX_[974] = 0.08 + vX_[136];
+ vX_[126] = vX_[1199] * vX_[974] + vX_[46] * vX_[909];
+ vX_[648] = vX_[1199] * vX_[65] + vX_[46] * vX_[1661];
+ vX_[697] = vX_[46] * vX_[625];
+ vX_[623] = vX_[835] * vX_[95];
+ vX_[734] = vX_[23] * vX_[623] + vX_[15] * vX_[544];
+ vX_[761] = vX_[855] * vX_[734];
+ vX_[728] = -0.35 * vX_[65] + vX_[974];
+ vX_[663] = vX_[15] * vX_[46] + vX_[23] * vX_[65];
+ vX_[793] = vX_[621] * vX_[728] + vX_[663] * vX_[997];
+ vX_[109] = vX_[20] * vX_[46] + vX_[15] * vX_[65];
+ vX_[639] = vX_[621] * vX_[109] + vX_[663] * vX_[1211];
+ vX_[962] = 0 - vX_[685];
+ vX_[671] = -1000. * (vX_[627] * vX_[650] + vX_[662] * vX_[962]) * vX_[739];
+ vX_[599] = -1000. * (vX_[661] * vX_[650] + vX_[626] * vX_[962]) * vX_[739];
+ vX_[962] = -1000. * (vX_[688] * vX_[650] + vX_[759] * vX_[962]) * vX_[739];
+ vX_[669] = vX_[609] * vX_[671] + vX_[757] * vX_[599] + vX_[762] * vX_[962];
+ vX_[651] = vX_[768] * vX_[671] + vX_[706] * vX_[599] + vX_[755] * vX_[962];
+ vX_[732] = vX_[587] * vX_[669] - vX_[765] * vX_[651];
+ vX_[962] = vX_[618] * vX_[671] + vX_[608] * vX_[599] + vX_[767] * vX_[962];
+ vX_[599] = vX_[771] * vX_[651] - vX_[587] * vX_[962];
+ vX_[671] = vX_[15] * vX_[623] + vX_[791] * vX_[544];
+ vX_[728] = vX_[1211] * vX_[728] + vX_[109] * vX_[997] - vX_[855] * vX_[671];
+ vX_[632] = 0.1104774 * (vX_[761] - vX_[793]) + 0.025941 * vX_[639] - vX_[96] * vX_[732] - vX_[26] * vX_[599] - vX_[610] * vX_[962] - vX_[742] * vX_[669] - vX_[749] * vX_[651] - -0.0004405 * vX_[728];
+ vX_[35] = 0 - vX_[632];
+ vX_[784] = vX_[109] * vX_[855];
+ vX_[426] = (- vX_[734]) * x_in[35];
+ vX_[655] = vX_[671] * x_in[35];
+ vX_[59] = vX_[109] * x_in[35];
+ vX_[720] = vX_[621] * vX_[663] + vX_[663] * vX_[621];
+ vX_[636] = -0.881 * (vX_[793] - vX_[761]) + 0.1104774 * vX_[639] + 8.81e-05 * vX_[784] + 0.414812462825713 * vX_[426] + -0.00185880198235362 * vX_[655] + -8.81e-05 * vX_[59] + (0.1104774 * vX_[35]) / 0.026181 - vX_[772] * vX_[962] - vX_[777] * vX_[669] - vX_[778] * vX_[651] - -0.0004405 * vX_[720];
+ vX_[36] = vX_[663] * vX_[855];
+ vX_[24] = (- vX_[663]) * x_in[35];
+ vX_[61] = vX_[1211] * vX_[109] + vX_[109] * vX_[1211];
+ vX_[639] = 0.881 * vX_[728] + 8.81e-05 * vX_[36] + -0.0004405 * vX_[639] + -0.00185880198235362 * vX_[426] + 0.880992588508842 * vX_[655] + 8.81e-05 * vX_[24] + (0.0004405 * vX_[35]) / 0.026181 - vX_[781] * vX_[962] - vX_[783] * vX_[669] - vX_[786] * vX_[651] - 0.1104774 * vX_[61];
+ vX_[974] = vX_[1661] * vX_[974] + vX_[65] * vX_[909] - vX_[625] * vX_[623];
+ vX_[63] = vX_[65] * vX_[625];
+ vX_[727] = vX_[1661] * vX_[65] + vX_[65] * vX_[1661];
+ vX_[1632] = vX_[1199] * vX_[46] + vX_[46] * vX_[1199];
+ vX_[632] = 0.47422804 * (vX_[17] - vX_[126]) + 0.081641 * vX_[648] + 2.1e-05 * vX_[697] + (0.026181 * vX_[35]) / 0.026181 + vX_[632] + vX_[766] * vX_[636] + vX_[25] * vX_[639] - 0.0825825 * vX_[974] - -0.000102 * vX_[63] - -0.007418 * (vX_[727] - vX_[1632]);
+ vX_[79] = 0 - vX_[632];
+ vX_[624] = (- vX_[46]) * x_in[34];
+ vX_[681] = vX_[65] * x_in[34];
+ vX_[964] = (- vX_[544]) * x_in[34];
+ vX_[501] = vX_[623] * x_in[34];
+ vX_[126] = -3.146 * (vX_[126] - vX_[17]) + 0.47422804 * vX_[648] + vX_[15] * vX_[636] + vX_[23] * vX_[639] + vX_[50] * vX_[624] + vX_[44] * vX_[681] + vX_[76] * vX_[964] + vX_[78] * vX_[501] + (vX_[40] * vX_[79]) / vX_[42] - 0.0825825 * vX_[1632];
+ vX_[974] = 3.146 * vX_[974] + 0.0825825 * vX_[648] + vX_[791] * vX_[636] + vX_[15] * vX_[639] + vX_[56] * vX_[624] + vX_[55] * vX_[681] + vX_[78] * vX_[964] + vX_[77] * vX_[501] + (vX_[53] * vX_[79]) / vX_[42] - 0.47422804 * vX_[727];
+ vX_[639] = (- vX_[95]) * x_in[33];
+ vX_[636] = vX_[136] * x_in[33];
+ vX_[17] = vX_[892] * vX_[95] + vX_[1094];
+ vX_[100] = vX_[765] * vX_[962] - vX_[771] * vX_[669];
+ vX_[671] = vX_[621] * vX_[671] + vX_[663] * vX_[857] - (vX_[1211] * vX_[734] + vX_[109] * vX_[960]);
+ vX_[728] = 8.81e-05 * vX_[728] + 8.81e-05 * vX_[655] + 0.026409 * vX_[24] - vX_[772] * vX_[732] - vX_[776] * vX_[599] - vX_[778] * vX_[100] - vX_[800] * vX_[962] - vX_[807] * vX_[669] - vX_[812] * vX_[651] - 0.1104774 * vX_[671] - 0.025713 * vX_[36];
+ vX_[100] = -0.0004405 * vX_[671] + 8.81e-05 * (vX_[793] - vX_[761]) + -0.000227999999999999 * vX_[784] + -8.81e-05 * vX_[426] + 0.000468 * vX_[59] - vX_[780] * vX_[732] - vX_[783] * vX_[599] - vX_[785] * vX_[100] - vX_[821] * vX_[962] - vX_[828] * vX_[669] - vX_[833] * vX_[651];
+ vX_[671] = 0.881 * vX_[671] + 0.1104774 * vX_[36] + -0.0004405 * vX_[784] + -0.1104774 * vX_[24] + -0.0004405 * vX_[59] - vX_[96] * vX_[962] - vX_[26] * vX_[669] - 8.81e-05 * (vX_[61] + vX_[720]);
+ vX_[623] = vX_[1199] * vX_[623] + vX_[46] * vX_[859] - (vX_[1661] * vX_[544] + vX_[65] * vX_[976]);
+ vX_[1632] = -0.007418 * vX_[63] + -0.000102 * (0 - vX_[1632]) + vX_[15] * vX_[728] + vX_[23] * vX_[100] + -0.35 * vX_[671] + vX_[72] * vX_[624] + vX_[64] * vX_[681] + vX_[50] * vX_[964] + vX_[56] * vX_[501] + (vX_[49] * vX_[79]) / vX_[42] - 0.47422804 * vX_[623] - 0.084376 * vX_[697] - 2.1e-05 * vX_[648];
+ vX_[100] = 0.002735 * vX_[63] + 0.0825825 * vX_[623] + -0.000102 * vX_[648] + vX_[20] * vX_[728] + vX_[15] * vX_[100] + vX_[64] * vX_[624] + vX_[71] * vX_[681] + vX_[44] * vX_[964] + vX_[55] * vX_[501] + (vX_[30] * vX_[79]) / vX_[42] - -0.007418 * vX_[697] - 2.1e-05 * (0 - vX_[727]);
+ vX_[623] = 0.47422804 * vX_[697] + 3.146 * vX_[623] + 0.0825825 * vX_[63] + vX_[671] + vX_[39] * vX_[624] + vX_[52] * vX_[681];
+ vX_[671] = 0.1466472 * vX_[17] + -5.1e-05 * vX_[1148] + vX_[65] * vX_[1632] + vX_[46] * vX_[100] + 0.08 * vX_[623] - -0.022734 * vX_[1113];
+ vX_[63] = 0 - vX_[671];
+ vX_[697] = vX_[1148] * vX_[136] - vX_[1113] * vX_[95];
+ vX_[632] = 0.5824264 * vX_[600] + -3.6e-05 * vX_[1113] + -0.022734 * vX_[733] + (vX_[42] * vX_[79]) / vX_[42] + vX_[632] + vX_[789] * vX_[126] + vX_[67] * vX_[974] + vX_[129] * vX_[639] + vX_[118] * vX_[636] + (vX_[128] * vX_[63]) / vX_[92] - 0.1466472 * vX_[697] - -0.123672 * vX_[1148];
+ vX_[100] = -0.133138 * vX_[1113] + 0.5824264 * (0 - vX_[17]) + vX_[46] * vX_[1632] + vX_[13] * vX_[100] + vX_[119] * vX_[639] + vX_[94] * vX_[636] + (vX_[87] * vX_[63]) / vX_[92] - -3.6e-05 * vX_[1148] - -5.1e-05 * vX_[733];
+ vX_[697] = 3.44 * vX_[697] + 0.1466472 * vX_[1148] + vX_[746] * vX_[126] + vX_[613] * vX_[974] + vX_[122] * vX_[639] + vX_[115] * vX_[636] + (vX_[113] * vX_[63]) / vX_[92];
+ vX_[623] = -3.44 * (0 - vX_[17]) + 0.5824264 * vX_[1113] + vX_[623] + vX_[121] * vX_[639] + vX_[107] * vX_[636] + (vX_[105] * vX_[63]) / vX_[92];
+ vX_[974] = 3.44 * vX_[600] + 0.5824264 * vX_[1148] + vX_[835] * vX_[126] + vX_[13] * vX_[974] + vX_[107] * vX_[639] + vX_[133] * vX_[636] + (vX_[90] * vX_[63]) / vX_[92] - 0.1466472 * vX_[733];
+ vX_[126] = 0 - (vX_[622] * vX_[248] + -1 * vX_[1336]);
+ vX_[733] = vX_[660] * -1;
+ vX_[600] = vX_[622] * -1 + -1 * vX_[622];
+ vX_[17] = 0.08 + -1 * vX_[248];
+ vX_[1632] = vX_[159] * -1;
+ vX_[728] = vX_[712] * vX_[17] + vX_[1632] * vX_[6];
+ vX_[727] = vX_[139] * vX_[206];
+ vX_[648] = vX_[711] * vX_[727];
+ vX_[544] = vX_[139] * -1;
+ vX_[61] = vX_[712] * vX_[544] + vX_[1632] * vX_[959];
+ vX_[24] = -0.35 * vX_[544] + vX_[17];
+ vX_[36] = vX_[142] * vX_[1632] + vX_[140] * vX_[544];
+ vX_[720] = vX_[1188] * vX_[24] + vX_[36] * vX_[612];
+ vX_[59] = vX_[1079] * vX_[206];
+ vX_[784] = vX_[140] * vX_[59] + vX_[142] * vX_[727];
+ vX_[962] = vX_[788] * vX_[784];
+ vX_[669] = vX_[152] * vX_[1632] + vX_[142] * vX_[544];
+ vX_[599] = vX_[1188] * vX_[669] + vX_[36] * vX_[868];
+ vX_[732] = (- vX_[784]) * x_in[32];
+ vX_[651] = vX_[142] * vX_[59] + vX_[1037] * vX_[727];
+ vX_[793] = vX_[651] * x_in[32];
+ vX_[761] = 0 - vX_[938];
+ vX_[109] = -1000. * (vX_[879] * vX_[904] + vX_[916] * vX_[761]) * vX_[991];
+ vX_[663] = -1000. * (vX_[915] * vX_[904] + vX_[878] * vX_[761]) * vX_[991];
+ vX_[761] = -1000. * (vX_[941] * vX_[904] + vX_[1009] * vX_[761]) * vX_[991];
+ vX_[734] = vX_[861] * vX_[109] + vX_[1007] * vX_[663] + vX_[1012] * vX_[761];
+ vX_[696] = vX_[1018] * vX_[109] + vX_[992] * vX_[663] + vX_[1005] * vX_[761];
+ vX_[707] = vX_[839] * vX_[734] - vX_[1015] * vX_[696];
+ vX_[761] = vX_[870] * vX_[109] + vX_[860] * vX_[663] + vX_[1017] * vX_[761];
+ vX_[663] = vX_[1021] * vX_[696] - vX_[839] * vX_[761];
+ vX_[24] = vX_[868] * vX_[24] + vX_[669] * vX_[612] - vX_[788] * vX_[651];
+ vX_[109] = 0.110125 * (vX_[962] - vX_[720]) + 0.025941 * vX_[599] - vX_[836] * vX_[707] - vX_[137] * vX_[663] - vX_[862] * vX_[761] - vX_[994] * vX_[734] - vX_[999] * vX_[696] - -0.000881 * vX_[24];
+ vX_[634] = 0 - vX_[109];
+ vX_[962] = -0.881 * (vX_[720] - vX_[962]) + 0.110125 * vX_[599] + 0.417781802643138 * vX_[732] + -0.00370574557885489 * vX_[793] + (0.110125 * vX_[634]) / 0.026181 - vX_[1006] * vX_[761] - vX_[1025] * vX_[734] - vX_[1026] * vX_[696] - -0.000881 * (vX_[1188] * vX_[36] + vX_[36] * vX_[1188]);
+ vX_[24] = 0.881 * vX_[24] + -0.000881 * vX_[599] + -0.00370574557885489 * vX_[732] + 0.880970354035369 * vX_[793] + (0.000881 * vX_[634]) / 0.026181 - vX_[1028] * vX_[761] - vX_[1030] * vX_[734] - vX_[1032] * vX_[696] - 0.110125 * (vX_[868] * vX_[669] + vX_[669] * vX_[868]);
+ vX_[599] = (- vX_[1632]) * x_in[31];
+ vX_[720] = vX_[544] * x_in[31];
+ vX_[1338] = (- vX_[727]) * x_in[31];
+ vX_[536] = vX_[59] * x_in[31];
+ vX_[546] = vX_[1632] * vX_[711];
+ vX_[17] = vX_[959] * vX_[17] + vX_[544] * vX_[6] - vX_[711] * vX_[59];
+ vX_[1353] = vX_[544] * vX_[711];
+ vX_[471] = vX_[959] * vX_[544] + vX_[544] * vX_[959];
+ vX_[664] = vX_[712] * vX_[1632] + vX_[1632] * vX_[712];
+ vX_[109] = 0.47422804 * (vX_[648] - vX_[728]) + 0.081641 * vX_[61] + 2.1e-05 * vX_[546] + (0.026181 * vX_[634]) / 0.026181 + vX_[109] + vX_[1034] * vX_[962] + vX_[141] * vX_[24] - 0.0825825 * vX_[17] - -0.000102 * vX_[1353] - -0.007418 * (vX_[471] - vX_[664]);
+ vX_[725] = 0 - vX_[109];
+ vX_[648] = -3.146 * (vX_[728] - vX_[648]) + 0.47422804 * vX_[61] + vX_[142] * vX_[962] + vX_[140] * vX_[24] + vX_[161] * vX_[599] + vX_[158] * vX_[720] + vX_[187] * vX_[1338] + vX_[189] * vX_[536] + (vX_[154] * vX_[725]) / vX_[156] - 0.0825825 * vX_[664];
+ vX_[17] = 3.146 * vX_[17] + 0.0825825 * vX_[61] + vX_[1037] * vX_[962] + vX_[142] * vX_[24] + vX_[167] * vX_[599] + vX_[166] * vX_[720] + vX_[189] * vX_[1338] + vX_[188] * vX_[536] + (vX_[164] * vX_[725]) / vX_[156] - 0.47422804 * vX_[471];
+ vX_[24] = (- vX_[206]) * x_in[30];
+ vX_[962] = vX_[248] * x_in[30];
+ vX_[728] = vX_[622] * vX_[206] + -1 * vX_[657];
+ vX_[60] = vX_[973] * -1;
+ vX_[106] = (- vX_[36]) * x_in[32];
+ vX_[606] = vX_[1015] * vX_[761] - vX_[1021] * vX_[734];
+ vX_[651] = vX_[1188] * vX_[651] + vX_[36] * vX_[3] - (vX_[868] * vX_[784] + vX_[669] * vX_[1104]);
+ vX_[36] = vX_[36] * vX_[788];
+ vX_[784] = 0.026409 * vX_[106] - vX_[1006] * vX_[707] - vX_[1024] * vX_[663] - vX_[1026] * vX_[606] - vX_[1045] * vX_[761] - vX_[1052] * vX_[734] - vX_[1057] * vX_[696] - 0.110125 * vX_[651] - 0.025713 * vX_[36];
+ vX_[686] = vX_[669] * vX_[788];
+ vX_[669] = vX_[669] * x_in[32];
+ vX_[606] = -0.000227999999999999 * vX_[686] + -0.000881 * vX_[651] + 0.000468 * vX_[669] - vX_[1028] * vX_[707] - vX_[1029] * vX_[663] - vX_[1060] * vX_[606] - vX_[1067] * vX_[761] - vX_[1074] * vX_[734] - vX_[1078] * vX_[696];
+ vX_[669] = 0.110125 * vX_[36] + 0.881 * vX_[651] + -0.000881 * vX_[686] + -0.110125 * vX_[106] + -0.000881 * vX_[669] - vX_[840] * vX_[761] - vX_[137] * vX_[734];
+ vX_[59] = vX_[712] * vX_[59] + vX_[1632] * vX_[709] - (vX_[959] * vX_[727] + vX_[544] * vX_[722]);
+ vX_[664] = -0.007418 * vX_[1353] + -0.000102 * (0 - vX_[664]) + vX_[142] * vX_[784] + vX_[140] * vX_[606] + -0.35 * vX_[669] + vX_[183] * vX_[599] + vX_[175] * vX_[720] + vX_[161] * vX_[1338] + vX_[167] * vX_[536] + (2.1e-05 * vX_[725]) / vX_[156] - 0.47422804 * vX_[59] - 0.084376 * vX_[546] - 2.1e-05 * vX_[61];
+ vX_[606] = 0.002735 * vX_[1353] + 0.0825825 * vX_[59] + -0.000102 * vX_[61] + vX_[152] * vX_[784] + vX_[142] * vX_[606] + vX_[175] * vX_[599] + vX_[182] * vX_[720] + vX_[158] * vX_[1338] + vX_[166] * vX_[536] + (-0.000102 * vX_[725]) / vX_[156] - -0.007418 * vX_[546] - 2.1e-05 * (0 - vX_[471]);
+ vX_[59] = 0.47422804 * vX_[546] + 3.146 * vX_[59] + 0.0825825 * vX_[1353] + vX_[669] + vX_[153] * vX_[599] + vX_[163] * vX_[720];
+ vX_[669] = 0.1466472 * vX_[728] + -5.1e-05 * vX_[60] + vX_[139] * vX_[664] + vX_[159] * vX_[606] + -0.08 * vX_[59] - 0.022734 * vX_[733];
+ vX_[1353] = 0 - vX_[669];
+ vX_[546] = vX_[973] * vX_[248] - vX_[660] * vX_[206];
+ vX_[109] = -0.5824264 * vX_[126] + 3.6e-05 * vX_[733] + 0.022734 * vX_[600] + vX_[790] * vX_[648] + vX_[177] * vX_[17] + -1 * (vX_[109] + (vX_[156] * vX_[725]) / vX_[156]) + vX_[241] * vX_[24] + vX_[230] * vX_[962] + (vX_[240] * vX_[1353]) / vX_[203] - 0.1466472 * vX_[546] - -0.123672 * vX_[60];
+ vX_[606] = -0.133138 * vX_[733] + -0.5824264 * (0 - vX_[728]) + vX_[160] * vX_[664] + vX_[139] * vX_[606] + vX_[231] * vX_[24] + vX_[205] * vX_[962] + (vX_[198] * vX_[1353]) / vX_[203] - 3.6e-05 * vX_[60] - -5.1e-05 * vX_[600];
+ vX_[546] = 3.44 * vX_[546] + 0.1466472 * vX_[60] + vX_[139] * vX_[648] + vX_[159] * vX_[17] + vX_[234] * vX_[24] + vX_[227] * vX_[962] + (vX_[225] * vX_[1353]) / vX_[203];
+ vX_[59] = -3.44 * (0 - vX_[728]) + -0.5824264 * vX_[733] + -1 * vX_[59] + vX_[233] * vX_[24] + vX_[219] * vX_[962] + (vX_[217] * vX_[1353]) / vX_[203];
+ vX_[60] = 3.44 * vX_[126] + -0.5824264 * vX_[60] + vX_[1079] * vX_[648] + vX_[139] * vX_[17] + vX_[219] * vX_[24] + vX_[245] * vX_[962] + (vX_[201] * vX_[1353]) / vX_[203] - 0.1466472 * vX_[600];
+ vX_[17] = 0 - (vX_[1441] * vX_[368] + vX_[595]);
+ vX_[648] = vX_[1441] + vX_[1441];
+ vX_[600] = vX_[250] * vX_[327];
+ vX_[126] = vX_[847] * vX_[600];
+ vX_[728] = 0.08 + vX_[368];
+ vX_[733] = vX_[1190] * vX_[728] + vX_[278] * vX_[957];
+ vX_[664] = vX_[1190] * vX_[297] + vX_[278] * vX_[1328];
+ vX_[784] = vX_[278] * vX_[847];
+ vX_[471] = vX_[1319] * vX_[327];
+ vX_[61] = vX_[253] * vX_[471] + vX_[251] * vX_[600];
+ vX_[544] = vX_[953] * vX_[61];
+ vX_[727] = -0.35 * vX_[297] + vX_[728];
+ vX_[1632] = vX_[251] * vX_[278] + vX_[253] * vX_[297];
+ vX_[686] = vX_[700] * vX_[727] + vX_[1632] * vX_[863];
+ vX_[36] = vX_[254] * vX_[278] + vX_[251] * vX_[297];
+ vX_[651] = vX_[700] * vX_[36] + vX_[1632] * vX_[1084];
+ vX_[106] = 0 - vX_[1175];
+ vX_[761] = -1000. * (vX_[1118] * vX_[1141] + vX_[1153] * vX_[106]) * vX_[1228];
+ vX_[734] = -1000. * (vX_[1152] * vX_[1141] + vX_[1117] * vX_[106]) * vX_[1228];
+ vX_[106] = -1000. * (vX_[1178] * vX_[1141] + vX_[1245] * vX_[106]) * vX_[1228];
+ vX_[663] = vX_[1103] * vX_[761] + vX_[1243] * vX_[734] + vX_[1248] * vX_[106];
+ vX_[707] = vX_[1254] * vX_[761] + vX_[1232] * vX_[734] + vX_[1241] * vX_[106];
+ vX_[696] = vX_[1081] * vX_[663] - vX_[1251] * vX_[707];
+ vX_[106] = vX_[740] * vX_[761] + vX_[1102] * vX_[734] + vX_[1253] * vX_[106];
+ vX_[734] = vX_[1257] * vX_[707] - vX_[1081] * vX_[106];
+ vX_[761] = vX_[251] * vX_[471] + vX_[1276] * vX_[600];
+ vX_[727] = vX_[1084] * vX_[727] + vX_[36] * vX_[863] - vX_[953] * vX_[761];
+ vX_[769] = 0.1104774 * (vX_[544] - vX_[686]) + 0.025941 * vX_[651] - vX_[328] * vX_[696] - vX_[249] * vX_[734] - vX_[1105] * vX_[106] - vX_[1230] * vX_[663] - vX_[1235] * vX_[707] - 0.0004405 * vX_[727];
+ vX_[9] = 0 - vX_[769];
+ vX_[489] = vX_[36] * vX_[953];
+ vX_[576] = (- vX_[61]) * x_in[29];
+ vX_[84] = vX_[761] * x_in[29];
+ vX_[114] = vX_[36] * x_in[29];
+ vX_[724] = vX_[700] * vX_[1632] + vX_[1632] * vX_[700];
+ vX_[62] = -0.881 * (vX_[686] - vX_[544]) + 0.1104774 * vX_[651] + -8.81e-05 * vX_[489] + 0.414812462825713 * vX_[576] + 0.00185880198235362 * vX_[84] + 8.81e-05 * vX_[114] + (0.1104774 * vX_[9]) / 0.026181 - vX_[1258] * vX_[106] - vX_[1263] * vX_[663] - vX_[1265] * vX_[707] - 0.0004405 * vX_[724];
+ vX_[66] = vX_[1632] * vX_[953];
+ vX_[646] = (- vX_[1632]) * x_in[29];
+ vX_[628] = vX_[1084] * vX_[36] + vX_[36] * vX_[1084];
+ vX_[651] = 0.881 * vX_[727] + -8.81e-05 * vX_[66] + 0.0004405 * vX_[651] + 0.00185880198235362 * vX_[576] + 0.880992588508842 * vX_[84] + -8.81e-05 * vX_[646] + (-0.0004405 * vX_[9]) / 0.026181 - vX_[1267] * vX_[106] - vX_[1269] * vX_[663] - vX_[1271] * vX_[707] - 0.1104774 * vX_[628];
+ vX_[728] = vX_[1328] * vX_[728] + vX_[297] * vX_[957] - vX_[847] * vX_[471];
+ vX_[752] = vX_[297] * vX_[847];
+ vX_[1691] = vX_[1328] * vX_[297] + vX_[297] * vX_[1328];
+ vX_[1110] = vX_[1190] * vX_[278] + vX_[278] * vX_[1190];
+ vX_[769] = 0.47422804 * (vX_[126] - vX_[733]) + 0.081641 * vX_[664] + 2.1e-05 * vX_[784] + (0.026181 * vX_[9]) / 0.026181 + vX_[769] + vX_[1252] * vX_[62] + vX_[256] * vX_[651] - -0.0825825 * vX_[728] - 0.000102 * vX_[752] - 0.007418 * (vX_[1691] - vX_[1110]);
+ vX_[1201] = 0 - vX_[769];
+ vX_[1677] = (- vX_[278]) * x_in[28];
+ vX_[1518] = vX_[297] * x_in[28];
+ vX_[729] = (- vX_[600]) * x_in[28];
+ vX_[869] = vX_[471] * x_in[28];
+ vX_[733] = -3.146 * (vX_[733] - vX_[126]) + 0.47422804 * vX_[664] + vX_[251] * vX_[62] + vX_[253] * vX_[651] + vX_[282] * vX_[1677] + vX_[276] * vX_[1518] + vX_[308] * vX_[729] + vX_[310] * vX_[869] + (vX_[272] * vX_[1201]) / vX_[274] - -0.0825825 * vX_[1110];
+ vX_[728] = 3.146 * vX_[728] + -0.0825825 * vX_[664] + vX_[1276] * vX_[62] + vX_[251] * vX_[651] + vX_[288] * vX_[1677] + vX_[287] * vX_[1518] + vX_[310] * vX_[729] + vX_[309] * vX_[869] + (vX_[285] * vX_[1201]) / vX_[274] - 0.47422804 * vX_[1691];
+ vX_[651] = (- vX_[327]) * x_in[27];
+ vX_[62] = vX_[368] * x_in[27];
+ vX_[126] = vX_[1441] * vX_[327] + vX_[1089];
+ vX_[29] = vX_[1251] * vX_[106] - vX_[1257] * vX_[663];
+ vX_[761] = vX_[700] * vX_[761] + vX_[1632] * vX_[1516] - (vX_[1084] * vX_[61] + vX_[36] * vX_[1434]);
+ vX_[727] = -8.81e-05 * vX_[727] + -8.81e-05 * vX_[84] + 0.026409 * vX_[646] - vX_[1258] * vX_[696] - vX_[1262] * vX_[734] - vX_[1264] * vX_[29] - vX_[1285] * vX_[106] - vX_[1292] * vX_[663] - vX_[1297] * vX_[707] - 0.1104774 * vX_[761] - 0.025713 * vX_[66];
+ vX_[29] = 0.0004405 * vX_[761] + -8.81e-05 * (vX_[686] - vX_[544]) + -0.000227999999999999 * vX_[489] + 8.81e-05 * vX_[576] + 0.000468 * vX_[114] - vX_[1267] * vX_[696] - vX_[1269] * vX_[734] - vX_[1271] * vX_[29] - vX_[1305] * vX_[106] - vX_[1312] * vX_[663] - vX_[1317] * vX_[707];
+ vX_[761] = 0.881 * vX_[761] + 0.1104774 * vX_[66] + 0.0004405 * vX_[489] + -0.1104774 * vX_[646] + 0.0004405 * vX_[114] - vX_[328] * vX_[106] - vX_[249] * vX_[663] - -8.81e-05 * (vX_[628] + vX_[724]);
+ vX_[471] = vX_[1190] * vX_[471] + vX_[278] * vX_[846] - (vX_[1328] * vX_[600] + vX_[297] * vX_[842]);
+ vX_[1110] = 0.007418 * vX_[752] + 0.000102 * (0 - vX_[1110]) + vX_[251] * vX_[727] + vX_[253] * vX_[29] + -0.35 * vX_[761] + vX_[304] * vX_[1677] + vX_[296] * vX_[1518] + vX_[282] * vX_[729] + vX_[288] * vX_[869] + (vX_[281] * vX_[1201]) / vX_[274] - 0.47422804 * vX_[471] - 0.084376 * vX_[784] - 2.1e-05 * vX_[664];
+ vX_[29] = 0.002735 * vX_[752] + -0.0825825 * vX_[471] + 0.000102 * vX_[664] + vX_[254] * vX_[727] + vX_[251] * vX_[29] + vX_[296] * vX_[1677] + vX_[303] * vX_[1518] + vX_[276] * vX_[729] + vX_[287] * vX_[869] + (vX_[262] * vX_[1201]) / vX_[274] - 0.007418 * vX_[784] - 2.1e-05 * (0 - vX_[1691]);
+ vX_[471] = 0.47422804 * vX_[784] + 3.146 * vX_[471] + -0.0825825 * vX_[752] + vX_[761] + vX_[271] * vX_[1677] + vX_[284] * vX_[1518];
+ vX_[761] = 0.1466472 * vX_[126] + -5.1e-05 * vX_[1198] + vX_[297] * vX_[1110] + vX_[278] * vX_[29] + 0.08 * vX_[471] - 0.022734 * vX_[1327];
+ vX_[752] = 0 - vX_[761];
+ vX_[784] = vX_[1198] * vX_[368] - vX_[1327] * vX_[327];
+ vX_[769] = -0.5824264 * vX_[17] + 3.6e-05 * vX_[1327] + 0.022734 * vX_[648] + (vX_[274] * vX_[1201]) / vX_[274] + vX_[769] + vX_[1274] * vX_[733] + vX_[299] * vX_[728] + vX_[361] * vX_[651] + vX_[350] * vX_[62] + (vX_[360] * vX_[752]) / vX_[324] - 0.1466472 * vX_[784] - -0.123672 * vX_[1198];
+ vX_[29] = -0.133138 * vX_[1327] + -0.5824264 * (0 - vX_[126]) + vX_[278] * vX_[1110] + vX_[250] * vX_[29] + vX_[351] * vX_[651] + vX_[326] * vX_[62] + (vX_[319] * vX_[752]) / vX_[324] - 3.6e-05 * vX_[1198] - -5.1e-05 * vX_[648];
+ vX_[784] = 3.44 * vX_[784] + 0.1466472 * vX_[1198] + vX_[1229] * vX_[733] + vX_[698] * vX_[728] + vX_[354] * vX_[651] + vX_[347] * vX_[62] + (vX_[345] * vX_[752]) / vX_[324];
+ vX_[471] = -3.44 * (0 - vX_[126]) + -0.5824264 * vX_[1327] + vX_[471] + vX_[353] * vX_[651] + vX_[339] * vX_[62] + (vX_[337] * vX_[752]) / vX_[324];
+ vX_[728] = 3.44 * vX_[17] + -0.5824264 * vX_[1198] + vX_[1319] * vX_[733] + vX_[250] * vX_[728] + vX_[339] * vX_[651] + vX_[365] * vX_[62] + (vX_[322] * vX_[752]) / vX_[324] - 0.1466472 * vX_[648];
+ vX_[733] = 0 - (vX_[1272] * vX_[1573] + -1 * vX_[1231]);
+ vX_[648] = vX_[597] * -1;
+ vX_[17] = vX_[1272] * -1 + -1 * vX_[1272];
+ vX_[126] = 0.08 + -1 * vX_[1573];
+ vX_[1110] = vX_[398] * -1;
+ vX_[727] = vX_[877] * vX_[126] + vX_[1110] * vX_[1096];
+ vX_[1691] = vX_[371] * vX_[448];
+ vX_[664] = vX_[849] * vX_[1691];
+ vX_[600] = vX_[371] * -1;
+ vX_[628] = vX_[877] * vX_[600] + vX_[1110] * vX_[866];
+ vX_[646] = -0.35 * vX_[600] + vX_[126];
+ vX_[66] = vX_[372] * vX_[1110] + vX_[374] * vX_[600];
+ vX_[724] = vX_[1147] * vX_[646] + vX_[66] * vX_[845];
+ vX_[114] = vX_[1562] * vX_[448];
+ vX_[489] = vX_[374] * vX_[114] + vX_[372] * vX_[1691];
+ vX_[106] = vX_[593] * vX_[489];
+ vX_[663] = vX_[375] * vX_[1110] + vX_[372] * vX_[600];
+ vX_[734] = vX_[1147] * vX_[663] + vX_[66] * vX_[1392];
+ vX_[696] = vX_[663] * vX_[593];
+ vX_[707] = (- vX_[489]) * x_in[26];
+ vX_[686] = vX_[372] * vX_[114] + vX_[1520] * vX_[1691];
+ vX_[544] = vX_[686] * x_in[26];
+ vX_[36] = vX_[663] * x_in[26];
+ vX_[1632] = 0 - vX_[1421];
+ vX_[61] = -1000. * (vX_[1365] * vX_[1387] + vX_[1399] * vX_[1632]) * vX_[1474];
+ vX_[737] = -1000. * (vX_[1398] * vX_[1387] + vX_[1364] * vX_[1632]) * vX_[1474];
+ vX_[1632] = -1000. * (vX_[1424] * vX_[1387] + vX_[1492] * vX_[1632]) * vX_[1474];
+ vX_[774] = vX_[1347] * vX_[61] + vX_[1490] * vX_[737] + vX_[1495] * vX_[1632];
+ vX_[27] = vX_[1501] * vX_[61] + vX_[1475] * vX_[737] + vX_[1488] * vX_[1632];
+ vX_[738] = vX_[1325] * vX_[774] - vX_[1498] * vX_[27];
+ vX_[1632] = vX_[1356] * vX_[61] + vX_[1346] * vX_[737] + vX_[1500] * vX_[1632];
+ vX_[737] = vX_[1504] * vX_[27] - vX_[1325] * vX_[1632];
+ vX_[646] = vX_[1392] * vX_[646] + vX_[663] * vX_[845] - vX_[593] * vX_[686];
+ vX_[61] = 0.1104774 * (vX_[106] - vX_[724]) + 0.025941 * vX_[734] - vX_[1321] * vX_[738] - vX_[369] * vX_[737] - vX_[1348] * vX_[1632] - vX_[1477] * vX_[774] - vX_[1482] * vX_[27] - 0.0004405 * vX_[646];
+ vX_[54] = 0 - vX_[61];
+ vX_[702] = vX_[1147] * vX_[66] + vX_[66] * vX_[1147];
+ vX_[747] = -0.881 * (vX_[724] - vX_[106]) + 0.1104774 * vX_[734] + -8.81e-05 * vX_[696] + 0.414812462825713 * vX_[707] + 0.00185880198235362 * vX_[544] + 8.81e-05 * vX_[36] + (0.1104774 * vX_[54]) / 0.026181 - vX_[1489] * vX_[1632] - vX_[1507] * vX_[774] - vX_[1508] * vX_[27] - 0.0004405 * vX_[702];
+ vX_[876] = vX_[66] * vX_[593];
+ vX_[120] = (- vX_[66]) * x_in[26];
+ vX_[93] = vX_[1392] * vX_[663] + vX_[663] * vX_[1392];
+ vX_[734] = 0.881 * vX_[646] + -8.81e-05 * vX_[876] + 0.0004405 * vX_[734] + 0.00185880198235362 * vX_[707] + 0.880992588508842 * vX_[544] + -8.81e-05 * vX_[120] + (-0.0004405 * vX_[54]) / 0.026181 - vX_[1511] * vX_[1632] - vX_[1512] * vX_[774] - vX_[1515] * vX_[27] - 0.1104774 * vX_[93];
+ vX_[58] = (- vX_[1110]) * x_in[25];
+ vX_[605] = vX_[600] * x_in[25];
+ vX_[492] = (- vX_[1691]) * x_in[25];
+ vX_[462] = vX_[114] * x_in[25];
+ vX_[691] = vX_[1110] * vX_[849];
+ vX_[126] = vX_[866] * vX_[126] + vX_[600] * vX_[1096] - vX_[849] * vX_[114];
+ vX_[640] = vX_[600] * vX_[849];
+ vX_[32] = vX_[866] * vX_[600] + vX_[600] * vX_[866];
+ vX_[82] = vX_[877] * vX_[1110] + vX_[1110] * vX_[877];
+ vX_[61] = 0.47422804 * (vX_[664] - vX_[727]) + 0.081641 * vX_[628] + 2.1e-05 * vX_[691] + (0.026181 * vX_[54]) / 0.026181 + vX_[61] + vX_[1517] * vX_[747] + vX_[377] * vX_[734] - -0.0825825 * vX_[126] - 0.000102 * vX_[640] - 0.007418 * (vX_[32] - vX_[82]);
+ vX_[731] = 0 - vX_[61];
+ vX_[664] = -3.146 * (vX_[727] - vX_[664]) + 0.47422804 * vX_[628] + vX_[372] * vX_[747] + vX_[374] * vX_[734] + vX_[403] * vX_[58] + vX_[397] * vX_[605] + vX_[429] * vX_[492] + vX_[431] * vX_[462] + (vX_[393] * vX_[731]) / vX_[395] - -0.0825825 * vX_[82];
+ vX_[126] = 3.146 * vX_[126] + -0.0825825 * vX_[628] + vX_[1520] * vX_[747] + vX_[372] * vX_[734] + vX_[409] * vX_[58] + vX_[408] * vX_[605] + vX_[431] * vX_[492] + vX_[430] * vX_[462] + (vX_[406] * vX_[731]) / vX_[395] - 0.47422804 * vX_[32];
+ vX_[734] = (- vX_[448]) * x_in[24];
+ vX_[747] = vX_[1573] * x_in[24];
+ vX_[727] = vX_[1272] * vX_[448] + -1 * vX_[1107];
+ vX_[844] = vX_[1331] * -1;
+ vX_[914] = vX_[1498] * vX_[1632] - vX_[1504] * vX_[774];
+ vX_[686] = vX_[1147] * vX_[686] + vX_[66] * vX_[1487] - (vX_[1392] * vX_[489] + vX_[663] * vX_[1466]);
+ vX_[646] = -8.81e-05 * vX_[646] + -8.81e-05 * vX_[544] + 0.026409 * vX_[120] - vX_[1521] * vX_[738] - vX_[1507] * vX_[737] - vX_[1508] * vX_[914] - vX_[1529] * vX_[1632] - vX_[1536] * vX_[774] - vX_[1541] * vX_[27] - 0.1104774 * vX_[686] - 0.025713 * vX_[876];
+ vX_[914] = 0.0004405 * vX_[686] + -8.81e-05 * (vX_[724] - vX_[106]) + -0.000227999999999999 * vX_[696] + 8.81e-05 * vX_[707] + 0.000468 * vX_[36] - vX_[1510] * vX_[738] - vX_[1512] * vX_[737] - vX_[1514] * vX_[914] - vX_[1550] * vX_[1632] - vX_[1557] * vX_[774] - vX_[1561] * vX_[27];
+ vX_[686] = 0.881 * vX_[686] + 0.1104774 * vX_[876] + 0.0004405 * vX_[696] + -0.1104774 * vX_[120] + 0.0004405 * vX_[36] - vX_[1326] * vX_[1632] - vX_[369] * vX_[774] - -8.81e-05 * (vX_[93] + vX_[702]);
+ vX_[114] = vX_[877] * vX_[114] + vX_[1110] * vX_[1455] - (vX_[866] * vX_[1691] + vX_[600] * vX_[1340]);
+ vX_[82] = 0.007418 * vX_[640] + 0.000102 * (0 - vX_[82]) + vX_[372] * vX_[646] + vX_[374] * vX_[914] + -0.35 * vX_[686] + vX_[425] * vX_[58] + vX_[417] * vX_[605] + vX_[403] * vX_[492] + vX_[409] * vX_[462] + (vX_[402] * vX_[731]) / vX_[395] - 0.47422804 * vX_[114] - 0.084376 * vX_[691] - 2.1e-05 * vX_[628];
+ vX_[914] = 0.002735 * vX_[640] + -0.0825825 * vX_[114] + 0.000102 * vX_[628] + vX_[375] * vX_[646] + vX_[372] * vX_[914] + vX_[417] * vX_[58] + vX_[424] * vX_[605] + vX_[397] * vX_[492] + vX_[408] * vX_[462] + (vX_[383] * vX_[731]) / vX_[395] - 0.007418 * vX_[691] - 2.1e-05 * (0 - vX_[32]);
+ vX_[114] = 0.47422804 * vX_[691] + 3.146 * vX_[114] + -0.0825825 * vX_[640] + vX_[686] + vX_[392] * vX_[58] + vX_[405] * vX_[605];
+ vX_[686] = 0.1466472 * vX_[727] + -5.1e-05 * vX_[844] + vX_[371] * vX_[82] + vX_[398] * vX_[914] + -0.08 * vX_[114] - -0.022734 * vX_[648];
+ vX_[640] = 0 - vX_[686];
+ vX_[691] = vX_[1331] * vX_[1573] - vX_[597] * vX_[448];
+ vX_[61] = 0.5824264 * vX_[733] + -3.6e-05 * vX_[648] + -0.022734 * vX_[17] + vX_[1275] * vX_[664] + vX_[419] * vX_[126] + -1 * (vX_[61] + (vX_[395] * vX_[731]) / vX_[395]) + vX_[483] * vX_[734] + vX_[472] * vX_[747] + (vX_[482] * vX_[640]) / vX_[445] - 0.1466472 * vX_[691] - -0.123672 * vX_[844];
+ vX_[914] = -0.133138 * vX_[648] + 0.5824264 * (0 - vX_[727]) + vX_[399] * vX_[82] + vX_[371] * vX_[914] + vX_[473] * vX_[734] + vX_[447] * vX_[747] + (vX_[440] * vX_[640]) / vX_[445] - -3.6e-05 * vX_[844] - -5.1e-05 * vX_[17];
+ vX_[691] = 3.44 * vX_[691] + 0.1466472 * vX_[844] + vX_[371] * vX_[664] + vX_[398] * vX_[126] + vX_[476] * vX_[734] + vX_[469] * vX_[747] + (vX_[467] * vX_[640]) / vX_[445];
+ vX_[114] = -3.44 * (0 - vX_[727]) + 0.5824264 * vX_[648] + -1 * vX_[114] + vX_[475] * vX_[734] + vX_[461] * vX_[747] + (vX_[459] * vX_[640]) / vX_[445];
+ vX_[844] = 3.44 * vX_[733] + 0.5824264 * vX_[844] + vX_[1562] * vX_[664] + vX_[371] * vX_[126] + vX_[461] * vX_[734] + vX_[487] * vX_[747] + (vX_[443] * vX_[640]) / vX_[445] - 0.1466472 * vX_[17];
+ vX_[126] = x_in[18] + x_in[18];
+ vX_[686] = (-0.0053433 * x_in[22] + 2.0678571 * x_in[23] + 0.190812 * x_in[19] + (vX_[92] * vX_[63]) / vX_[92] + vX_[671] + vX_[136] * vX_[623] + vX_[95] * vX_[974] + vX_[248] * vX_[59] + vX_[206] * vX_[60] + -1 * (vX_[669] + (vX_[203] * vX_[1353]) / vX_[203]) + (vX_[324] * vX_[752]) / vX_[324] + vX_[761] + vX_[368] * vX_[471] + vX_[327] * vX_[728] + vX_[1573] * vX_[114] + vX_[448] * vX_[844] + -1 * (vX_[686] + (vX_[445] * vX_[640]) / vX_[445]) - -0.00571 * x_in[20]) / vX_[583];
+ vX_[761] = (0.190812 * (0 - vX_[126]) + vX_[26] * vX_[632] + vX_[96] * vX_[100] + vX_[97] * vX_[623] + vX_[1569] * vX_[974] + vX_[138] * vX_[109] + vX_[209] * vX_[606] + vX_[210] * vX_[59] + vX_[1570] * vX_[60] + vX_[249] * vX_[769] + vX_[328] * vX_[29] + vX_[329] * vX_[471] + vX_[1571] * vX_[728] + vX_[370] * vX_[61] + vX_[451] * vX_[914] + vX_[452] * vX_[114] + vX_[1572] * vX_[844] - -1.1915559 * x_in[22] - 4.847485 * x_in[20] - 0.012668 * x_in[19] - vX_[1566] * vX_[686]) / vX_[580];
+ vX_[914] = (-1.1915559 * (0 - x_in[23]) + 4.374212 * x_in[19] + 0.012668 * x_in[20] + vX_[96] * vX_[632] + vX_[98] * vX_[100] + 0.207 * vX_[697] + vX_[99] * vX_[623] + vX_[834] * vX_[974] + vX_[208] * vX_[109] + vX_[138] * vX_[606] + 0.207 * vX_[546] + vX_[211] * vX_[59] + vX_[998] * vX_[60] + vX_[328] * vX_[769] + vX_[330] * vX_[29] + 0.207 * vX_[784] + vX_[331] * vX_[471] + vX_[1318] * vX_[728] + vX_[450] * vX_[61] + vX_[370] * vX_[914] + 0.207 * vX_[691] + vX_[453] * vX_[114] + vX_[1481] * vX_[844] - -0.00571 * (0 - vX_[126]) - vX_[1568] * vX_[761] - vX_[490] * vX_[686]) / vX_[582];
+ vX_[691] = (2.0678571 * x_in[20] + -0.0053433 * x_in[19] + vX_[697] + -1 * vX_[546] + vX_[784] + -1 * vX_[691] - vX_[1610] * vX_[761] - vX_[1630] * vX_[686] - vX_[1627] * vX_[914]) / vX_[1657];
+ vX_[784] = (-53.433 * x_in[23] + -1.1915559 * x_in[19] + vX_[26] * vX_[623] + vX_[96] * vX_[974] + vX_[1615] * vX_[59] + vX_[1616] * vX_[60] + vX_[249] * vX_[471] + vX_[328] * vX_[728] + vX_[1617] * vX_[114] + vX_[1618] * vX_[844] - -0.0053433 * vX_[126] - vX_[1587] * vX_[761] - vX_[1611] * vX_[686] - vX_[1575] * vX_[914] - vX_[1629] * vX_[691]) / vX_[1654];
+ vX_[126] = (53.433 * x_in[22] + -1.1915559 * x_in[20] + vX_[96] * vX_[623] + vX_[1667] * vX_[974] + vX_[208] * vX_[59] + vX_[1668] * vX_[60] + vX_[328] * vX_[471] + vX_[1669] * vX_[728] + vX_[450] * vX_[114] + vX_[1670] * vX_[844] - 2.0678571 * vX_[126] - vX_[748] * vX_[761] - vX_[1626] * vX_[686] - vX_[484] * vX_[914] - vX_[1664] * vX_[691] - vX_[1584] * vX_[784]) / vX_[1656];
+ jac[671] = - vX_[126];
+ vX_[784] = vX_[784] - vX_[1666] * vX_[126];
+ jac[670] = - vX_[784];
+ vX_[691] = vX_[691] - vX_[1665] * vX_[126] - vX_[1599] * vX_[784];
+ jac[669] = - vX_[691];
+ vX_[914] = vX_[914] - vX_[1614] * vX_[784] - vX_[1628] * vX_[691] - vX_[1660] * vX_[126];
+ jac[668] = - vX_[914];
+ vX_[761] = vX_[761] - vX_[1619] * vX_[691] - vX_[1565] * vX_[914] - vX_[1613] * vX_[784] - vX_[1659] * vX_[126];
+ jac[666] = vX_[584] * vX_[914] + vX_[1567] * vX_[761] + vX_[1593] * vX_[691] + vX_[1612] * vX_[784] + vX_[1658] * vX_[126] - vX_[686];
+ jac[667] = - vX_[761];
+ vX_[761] = -1 * jac[666];
+ vX_[914] = vX_[450] * jac[668] + vX_[370] * jac[667];
+ vX_[691] = vX_[370] * jac[668] + vX_[451] * jac[667];
+ vX_[784] = -1 * jac[669];
+ vX_[126] = 0.207 * jac[668] + vX_[784];
+ vX_[747] = vX_[1481] * jac[668] + vX_[1572] * jac[667] + vX_[448] * jac[666] + vX_[1670] * jac[671] + vX_[1618] * jac[670] + vX_[747];
+ jac[672] = (vX_[640] - vX_[445] * vX_[761] - vX_[482] * vX_[914] - vX_[440] * vX_[691] - vX_[467] * vX_[126] - vX_[459] * (vX_[453] * jac[668] + vX_[452] * jac[667] + vX_[1573] * jac[666] + vX_[450] * jac[671] + vX_[1617] * jac[670] + vX_[734]) - vX_[443] * vX_[747]) / vX_[445];
+ vX_[640] = -1 * vX_[914];
+ vX_[734] = vX_[761] + jac[672];
+ vX_[492] = vX_[371] * vX_[126] + vX_[1562] * vX_[747] + vX_[1275] * vX_[914] + vX_[492];
+ vX_[747] = vX_[398] * vX_[126] + vX_[371] * vX_[747] + vX_[419] * vX_[914] + vX_[462];
+ jac[673] = (vX_[731] - vX_[395] * vX_[640] - vX_[402] * (vX_[371] * vX_[734] + vX_[399] * vX_[691] + vX_[58]) - vX_[383] * (vX_[398] * vX_[734] + vX_[371] * vX_[691] + vX_[605]) - vX_[393] * vX_[492] - vX_[406] * vX_[747]) / vX_[395];
+ vX_[640] = vX_[640] + jac[673];
+ jac[674] = (vX_[54] - 0.1104774 * (vX_[372] * vX_[492] + vX_[1520] * vX_[747] + vX_[1517] * vX_[640] + vX_[707]) - -0.0004405 * (vX_[374] * vX_[492] + vX_[372] * vX_[747] + vX_[377] * vX_[640] + vX_[544]) - 0.026181 * vX_[640]) / 0.026181;
+ vX_[640] = vX_[328] * jac[668] + vX_[249] * jac[667];
+ vX_[747] = vX_[330] * jac[668] + vX_[328] * jac[667];
+ vX_[492] = 0.207 * jac[668] + jac[669];
+ vX_[62] = vX_[1318] * jac[668] + vX_[1571] * jac[667] + vX_[327] * jac[666] + vX_[1669] * jac[671] + vX_[328] * jac[670] + vX_[62];
+ jac[675] = (vX_[752] - vX_[324] * jac[666] - vX_[360] * vX_[640] - vX_[319] * vX_[747] - vX_[345] * vX_[492] - vX_[337] * (vX_[331] * jac[668] + vX_[329] * jac[667] + vX_[368] * jac[666] + vX_[328] * jac[671] + vX_[249] * jac[670] + vX_[651]) - vX_[322] * vX_[62]) / vX_[324];
+ vX_[752] = jac[666] + jac[675];
+ vX_[729] = vX_[1229] * vX_[492] + vX_[1319] * vX_[62] + vX_[1274] * vX_[640] + vX_[729];
+ vX_[62] = vX_[698] * vX_[492] + vX_[250] * vX_[62] + vX_[299] * vX_[640] + vX_[869];
+ jac[676] = (vX_[1201] - vX_[274] * vX_[640] - vX_[281] * (vX_[297] * vX_[752] + vX_[278] * vX_[747] + vX_[1677]) - vX_[262] * (vX_[278] * vX_[752] + vX_[250] * vX_[747] + vX_[1518]) - vX_[272] * vX_[729] - vX_[285] * vX_[62]) / vX_[274];
+ vX_[640] = vX_[640] + jac[676];
+ jac[677] = (vX_[9] - 0.1104774 * (vX_[251] * vX_[729] + vX_[1276] * vX_[62] + vX_[1252] * vX_[640] + vX_[576]) - -0.0004405 * (vX_[253] * vX_[729] + vX_[251] * vX_[62] + vX_[256] * vX_[640] + vX_[84]) - 0.026181 * vX_[640]) / 0.026181;
+ vX_[640] = vX_[208] * jac[668] + vX_[138] * jac[667];
+ vX_[62] = vX_[138] * jac[668] + vX_[209] * jac[667];
+ vX_[784] = 0.207 * jac[668] + vX_[784];
+ vX_[962] = vX_[998] * jac[668] + vX_[1570] * jac[667] + vX_[206] * jac[666] + vX_[1668] * jac[671] + vX_[1616] * jac[670] + vX_[962];
+ jac[678] = (vX_[1353] - vX_[203] * vX_[761] - vX_[240] * vX_[640] - vX_[198] * vX_[62] - vX_[225] * vX_[784] - vX_[217] * (vX_[211] * jac[668] + vX_[210] * jac[667] + vX_[248] * jac[666] + vX_[208] * jac[671] + vX_[1615] * jac[670] + vX_[24]) - vX_[201] * vX_[962]) / vX_[203];
+ vX_[1353] = -1 * vX_[640];
+ vX_[761] = vX_[761] + jac[678];
+ vX_[1338] = vX_[139] * vX_[784] + vX_[1079] * vX_[962] + vX_[790] * vX_[640] + vX_[1338];
+ vX_[962] = vX_[159] * vX_[784] + vX_[139] * vX_[962] + vX_[177] * vX_[640] + vX_[536];
+ jac[679] = (vX_[725] - vX_[156] * vX_[1353] - 2.1e-05 * (vX_[139] * vX_[761] + vX_[160] * vX_[62] + vX_[599]) - -0.000102 * (vX_[159] * vX_[761] + vX_[139] * vX_[62] + vX_[720]) - vX_[154] * vX_[1338] - vX_[164] * vX_[962]) / vX_[156];
+ vX_[1353] = vX_[1353] + jac[679];
+ jac[680] = (vX_[634] - 0.110125 * (vX_[142] * vX_[1338] + vX_[1037] * vX_[962] + vX_[1034] * vX_[1353] + vX_[732]) - 0.000881 * (vX_[140] * vX_[1338] + vX_[142] * vX_[962] + vX_[141] * vX_[1353] + vX_[793]) - 0.026181 * vX_[1353]) / 0.026181;
+ vX_[1353] = vX_[96] * jac[668] + vX_[26] * jac[667];
+ vX_[962] = vX_[98] * jac[668] + vX_[96] * jac[667];
+ vX_[1338] = 0.207 * jac[668] + jac[669];
+ vX_[636] = vX_[834] * jac[668] + vX_[1569] * jac[667] + vX_[95] * jac[666] + vX_[1667] * jac[671] + vX_[96] * jac[670] + vX_[636];
+ jac[681] = (vX_[63] - vX_[92] * jac[666] - vX_[128] * vX_[1353] - vX_[87] * vX_[962] - vX_[113] * vX_[1338] - vX_[105] * (vX_[99] * jac[668] + vX_[97] * jac[667] + vX_[136] * jac[666] + vX_[96] * jac[671] + vX_[26] * jac[670] + vX_[639]) - vX_[90] * vX_[636]) / vX_[92];
+ vX_[63] = jac[666] + jac[681];
+ vX_[964] = vX_[746] * vX_[1338] + vX_[835] * vX_[636] + vX_[789] * vX_[1353] + vX_[964];
+ vX_[636] = vX_[613] * vX_[1338] + vX_[13] * vX_[636] + vX_[67] * vX_[1353] + vX_[501];
+ jac[682] = (vX_[79] - vX_[42] * vX_[1353] - vX_[49] * (vX_[65] * vX_[63] + vX_[46] * vX_[962] + vX_[624]) - vX_[30] * (vX_[46] * vX_[63] + vX_[13] * vX_[962] + vX_[681]) - vX_[40] * vX_[964] - vX_[53] * vX_[636]) / vX_[42];
+ vX_[1353] = vX_[1353] + jac[682];
+ jac[683] = (vX_[35] - 0.1104774 * (vX_[15] * vX_[964] + vX_[791] * vX_[636] + vX_[766] * vX_[1353] + vX_[426]) - 0.0004405 * (vX_[23] * vX_[964] + vX_[15] * vX_[636] + vX_[25] * vX_[1353] + vX_[655]) - 0.026181 * vX_[1353]) / 0.026181;
+ vX_[1353] = vX_[26] * vX_[1106] - vX_[892] * vX_[97];
+ vX_[636] = vX_[26] * vX_[892];
+ vX_[964] = vX_[1148] * vX_[96] + vX_[96] * vX_[1148];
+ vX_[655] = vX_[13] * vX_[1569] + vX_[67] * vX_[26];
+ vX_[426] = vX_[625] * vX_[655] + vX_[26] * vX_[976];
+ vX_[35] = vX_[13] * vX_[96];
+ vX_[63] = vX_[1199] * vX_[97] + vX_[35] * vX_[909];
+ vX_[962] = vX_[46] * vX_[96];
+ vX_[681] = vX_[1199] * vX_[962] + vX_[35] * vX_[1661];
+ vX_[624] = vX_[1199] * vX_[26] + vX_[35] * vX_[625];
+ vX_[79] = vX_[835] * vX_[1569] + vX_[789] * vX_[26];
+ vX_[1338] = vX_[23] * vX_[79] + vX_[15] * vX_[655] + vX_[25] * vX_[26];
+ vX_[501] = vX_[855] * vX_[1338] + vX_[26] * vX_[960];
+ vX_[639] = -0.35 * vX_[962] + vX_[97];
+ vX_[634] = vX_[15] * vX_[35] + vX_[23] * vX_[962];
+ vX_[793] = vX_[621] * vX_[639] + vX_[634] * vX_[997];
+ vX_[732] = vX_[20] * vX_[35] + vX_[15] * vX_[962];
+ vX_[761] = vX_[621] * vX_[732] + vX_[634] * vX_[1211];
+ vX_[62] = 0 - vX_[653];
+ vX_[725] = -1000. * (vX_[627] * vX_[62] + vX_[689] * vX_[685]) * vX_[739];
+ vX_[720] = -1000. * (vX_[661] * vX_[62] + vX_[760] * vX_[685]) * vX_[739];
+ vX_[62] = -1000. * (vX_[688] * vX_[62] + vX_[659] * vX_[685]) * vX_[739];
+ vX_[685] = vX_[609] * vX_[725] + vX_[757] * vX_[720] + vX_[762] * vX_[62];
+ vX_[599] = vX_[768] * vX_[725] + vX_[706] * vX_[720] + vX_[755] * vX_[62];
+ vX_[784] = vX_[587] * vX_[685] - vX_[765] * vX_[599];
+ vX_[62] = vX_[618] * vX_[725] + vX_[608] * vX_[720] + vX_[767] * vX_[62];
+ vX_[720] = vX_[771] * vX_[599] - vX_[587] * vX_[62];
+ vX_[725] = vX_[15] * vX_[79] + vX_[791] * vX_[655] + vX_[766] * vX_[26];
+ vX_[639] = vX_[1211] * vX_[639] + vX_[732] * vX_[997] - (vX_[855] * vX_[725] + vX_[26] * vX_[857]);
+ vX_[640] = 0.1104774 * (vX_[501] - vX_[793]) + 0.025941 * vX_[761] - vX_[96] * vX_[784] - vX_[26] * vX_[720] - vX_[610] * vX_[62] - vX_[742] * vX_[685] - vX_[749] * vX_[599] - -0.0004405 * vX_[639];
+ vX_[536] = 0 - vX_[640];
+ vX_[24] = vX_[1211] * vX_[26] + vX_[732] * vX_[855];
+ vX_[729] = (- vX_[1338]) * x_in[35];
+ vX_[84] = vX_[725] * x_in[35];
+ vX_[576] = vX_[732] * x_in[35];
+ vX_[9] = vX_[855] * vX_[26] + vX_[26] * vX_[855];
+ vX_[752] = vX_[621] * vX_[634] + vX_[634] * vX_[621];
+ vX_[747] = -0.881 * (vX_[793] - vX_[501]) + 0.1104774 * vX_[761] + 8.81e-05 * vX_[24] + 0.414812462825713 * vX_[729] + -0.00185880198235362 * vX_[84] + -8.81e-05 * vX_[576] + (0.1104774 * vX_[536]) / 0.026181 - vX_[772] * vX_[62] - vX_[777] * vX_[685] - vX_[778] * vX_[599] - -0.0004405 * (vX_[9] + vX_[752]);
+ vX_[1518] = vX_[621] * vX_[26] + vX_[634] * vX_[855];
+ vX_[1677] = (- vX_[634]) * x_in[35];
+ vX_[1201] = vX_[1211] * vX_[732] + vX_[732] * vX_[1211];
+ vX_[9] = 0.881 * vX_[639] + 8.81e-05 * vX_[1518] + -0.0004405 * vX_[761] + -0.00185880198235362 * vX_[729] + 0.880992588508842 * vX_[84] + 8.81e-05 * vX_[1677] + (0.0004405 * vX_[536]) / 0.026181 - vX_[781] * vX_[62] - vX_[783] * vX_[685] - vX_[786] * vX_[599] - 0.1104774 * (vX_[9] + vX_[1201]);
+ vX_[761] = vX_[1661] * vX_[97] + vX_[962] * vX_[909] - (vX_[625] * vX_[79] + vX_[26] * vX_[859]);
+ vX_[492] = vX_[1661] * vX_[26] + vX_[962] * vX_[625];
+ vX_[869] = vX_[1661] * vX_[962] + vX_[962] * vX_[1661];
+ vX_[651] = vX_[1199] * vX_[35] + vX_[35] * vX_[1199];
+ vX_[640] = 0.47422804 * (vX_[426] - vX_[63]) + 0.081641 * vX_[681] + 2.1e-05 * vX_[624] + (0.026181 * vX_[536]) / 0.026181 + vX_[640] + vX_[766] * vX_[747] + vX_[25] * vX_[9] - 0.0825825 * vX_[761] - -0.000102 * vX_[492] - -0.007418 * (vX_[869] - vX_[651]);
+ vX_[54] = 0 - vX_[640];
+ vX_[544] = (- vX_[35]) * x_in[34];
+ vX_[707] = vX_[962] * x_in[34];
+ vX_[734] = (- vX_[655]) * x_in[34];
+ vX_[691] = vX_[79] * x_in[34];
+ vX_[731] = vX_[625] * vX_[26] + vX_[26] * vX_[625];
+ vX_[63] = -3.146 * (vX_[63] - vX_[426]) + 0.47422804 * vX_[681] + vX_[15] * vX_[747] + vX_[23] * vX_[9] + vX_[50] * vX_[544] + vX_[44] * vX_[707] + vX_[76] * vX_[734] + vX_[78] * vX_[691] + (vX_[40] * vX_[54]) / vX_[42] - 0.0825825 * (vX_[731] + vX_[651]);
+ vX_[761] = 3.146 * vX_[761] + 0.0825825 * vX_[681] + vX_[791] * vX_[747] + vX_[15] * vX_[9] + vX_[56] * vX_[544] + vX_[55] * vX_[707] + vX_[78] * vX_[734] + vX_[77] * vX_[691] + (vX_[53] * vX_[54]) / vX_[42] - 0.47422804 * (vX_[731] + vX_[869]);
+ vX_[9] = (- vX_[96]) * x_in[33];
+ vX_[747] = vX_[26] * x_in[33];
+ vX_[426] = (- vX_[1569]) * x_in[33];
+ vX_[605] = vX_[97] * x_in[33];
+ vX_[58] = vX_[1148] * vX_[26] + vX_[96] * vX_[1113];
+ vX_[126] = vX_[892] * vX_[1569];
+ vX_[914] = vX_[96] * vX_[1106];
+ vX_[462] = vX_[96] * vX_[892];
+ vX_[686] = vX_[765] * vX_[62] - vX_[771] * vX_[685];
+ vX_[725] = vX_[621] * vX_[725] + vX_[634] * vX_[857] - (vX_[1211] * vX_[1338] + vX_[732] * vX_[960]);
+ vX_[639] = 8.81e-05 * vX_[639] + 8.81e-05 * vX_[84] + 0.026409 * vX_[1677] - vX_[772] * vX_[784] - vX_[776] * vX_[720] - vX_[778] * vX_[686] - vX_[800] * vX_[62] - vX_[807] * vX_[685] - vX_[812] * vX_[599] - 0.1104774 * vX_[725] - 0.025713 * vX_[1518];
+ vX_[686] = -0.0004405 * vX_[725] + 8.81e-05 * (vX_[793] - vX_[501]) + -0.000227999999999999 * vX_[24] + -8.81e-05 * vX_[729] + 0.000468 * vX_[576] - vX_[780] * vX_[784] - vX_[783] * vX_[720] - vX_[785] * vX_[686] - vX_[821] * vX_[62] - vX_[828] * vX_[685] - vX_[833] * vX_[599];
+ vX_[725] = 0.881 * vX_[725] + 0.1104774 * vX_[1518] + -0.0004405 * vX_[24] + -0.1104774 * vX_[1677] + -0.0004405 * vX_[576] - vX_[96] * vX_[62] - vX_[26] * vX_[685] - 8.81e-05 * (vX_[1201] + vX_[752]);
+ vX_[79] = vX_[1199] * vX_[79] + vX_[35] * vX_[859] - (vX_[1661] * vX_[655] + vX_[962] * vX_[976]);
+ vX_[651] = -0.007418 * vX_[492] + -0.000102 * (vX_[731] - vX_[651]) + vX_[15] * vX_[639] + vX_[23] * vX_[686] + -0.35 * vX_[725] + vX_[72] * vX_[544] + vX_[64] * vX_[707] + vX_[50] * vX_[734] + vX_[56] * vX_[691] + (vX_[49] * vX_[54]) / vX_[42] - 0.47422804 * vX_[79] - 0.084376 * vX_[624] - 2.1e-05 * vX_[681];
+ vX_[686] = 0.002735 * vX_[492] + 0.0825825 * vX_[79] + -0.000102 * vX_[681] + vX_[20] * vX_[639] + vX_[15] * vX_[686] + vX_[64] * vX_[544] + vX_[71] * vX_[707] + vX_[44] * vX_[734] + vX_[55] * vX_[691] + (vX_[30] * vX_[54]) / vX_[42] - -0.007418 * vX_[624] - 2.1e-05 * (vX_[731] - vX_[869]);
+ vX_[79] = 0.47422804 * vX_[624] + 3.146 * vX_[79] + 0.0825825 * vX_[492] + vX_[725] + vX_[39] * vX_[544] + vX_[52] * vX_[707];
+ vX_[725] = vX_[1113] * vX_[26] + vX_[26] * vX_[1113];
+ vX_[492] = 0.009466 * vX_[58] + 0.1466472 * (vX_[126] - vX_[914]) + -5.1e-05 * vX_[462] + vX_[65] * vX_[651] + vX_[46] * vX_[686] + 0.08 * vX_[79] - -0.022734 * vX_[636] - -3.6e-05 * (vX_[725] - vX_[964]);
+ vX_[624] = 0 - vX_[492];
+ vX_[639] = vX_[1148] * vX_[97] + vX_[96] * vX_[1210] - (vX_[1113] * vX_[1569] + vX_[26] * vX_[1094]);
+ vX_[640] = 0.5824264 * vX_[1353] + -3.6e-05 * vX_[636] + -0.022734 * (0 - vX_[964]) + (vX_[42] * vX_[54]) / vX_[42] + vX_[640] + vX_[789] * vX_[63] + vX_[67] * vX_[761] + vX_[493] * vX_[9] + vX_[548] * vX_[747] + vX_[129] * vX_[426] + vX_[118] * vX_[605] + (vX_[128] * vX_[624]) / vX_[92] - 0.1466472 * vX_[639] - -0.123672 * vX_[462] - -5.1e-05 * vX_[58];
+ vX_[686] = -0.133138 * vX_[636] + 0.5824264 * (vX_[914] - vX_[126]) + -0.022734 * vX_[58] + vX_[46] * vX_[651] + vX_[13] * vX_[686] + vX_[548] * vX_[9] + vX_[91] * vX_[747] + vX_[119] * vX_[426] + vX_[94] * vX_[605] + (vX_[87] * vX_[624]) / vX_[92] - -3.6e-05 * vX_[462] - -5.1e-05 * (0 - vX_[725]);
+ vX_[639] = 3.44 * vX_[639] + 0.1466472 * vX_[462] + vX_[746] * vX_[63] + vX_[613] * vX_[761] + vX_[104] * vX_[9] + vX_[81] * vX_[747] + vX_[122] * vX_[426] + vX_[115] * vX_[605] + (vX_[113] * vX_[624]) / vX_[92] - 0.5824264 * (vX_[725] + vX_[964]);
+ vX_[79] = 0.1466472 * vX_[58] + -3.44 * (vX_[914] - vX_[126]) + 0.5824264 * vX_[636] + vX_[79] + vX_[129] * vX_[9] + vX_[119] * vX_[747] + vX_[121] * vX_[426] + vX_[107] * vX_[605] + (vX_[105] * vX_[624]) / vX_[92];
+ vX_[725] = 3.44 * vX_[1353] + 0.5824264 * vX_[462] + vX_[835] * vX_[63] + vX_[13] * vX_[761] + vX_[118] * vX_[9] + vX_[94] * vX_[747] + vX_[107] * vX_[426] + vX_[133] * vX_[605] + (vX_[90] * vX_[624]) / vX_[92] - 0.1466472 * vX_[725];
+ vX_[462] = vX_[138] * vX_[5] - vX_[622] * vX_[210];
+ vX_[761] = vX_[138] * vX_[622];
+ vX_[63] = vX_[973] * vX_[209] + vX_[209] * vX_[973];
+ vX_[1353] = -1 * vX_[210];
+ vX_[914] = vX_[139] * vX_[209];
+ vX_[126] = vX_[712] * vX_[1353] + vX_[914] * vX_[6];
+ vX_[58] = vX_[139] * vX_[1570] + vX_[177] * vX_[138];
+ vX_[636] = -1 * vX_[138];
+ vX_[964] = vX_[711] * vX_[58] + vX_[636] * vX_[722];
+ vX_[651] = vX_[160] * vX_[209];
+ vX_[731] = vX_[712] * vX_[651] + vX_[914] * vX_[959];
+ vX_[869] = -0.35 * vX_[651] + vX_[1353];
+ vX_[681] = vX_[142] * vX_[914] + vX_[140] * vX_[651];
+ vX_[962] = vX_[1188] * vX_[869] + vX_[681] * vX_[612];
+ vX_[35] = vX_[1079] * vX_[1570] + vX_[790] * vX_[138];
+ vX_[655] = vX_[140] * vX_[35] + vX_[142] * vX_[58] + vX_[141] * vX_[636];
+ vX_[1201] = vX_[788] * vX_[655] + vX_[636] * vX_[1104];
+ vX_[1677] = vX_[152] * vX_[914] + vX_[142] * vX_[651];
+ vX_[1518] = vX_[1188] * vX_[1677] + vX_[681] * vX_[868];
+ vX_[752] = (- vX_[655]) * x_in[32];
+ vX_[576] = vX_[142] * vX_[35] + vX_[1037] * vX_[58] + vX_[1034] * vX_[636];
+ vX_[24] = vX_[576] * x_in[32];
+ vX_[62] = 0 - vX_[907];
+ vX_[685] = -1000. * (vX_[879] * vX_[62] + vX_[942] * vX_[938]) * vX_[991];
+ vX_[720] = -1000. * (vX_[915] * vX_[62] + vX_[1010] * vX_[938]) * vX_[991];
+ vX_[62] = -1000. * (vX_[941] * vX_[62] + vX_[913] * vX_[938]) * vX_[991];
+ vX_[938] = vX_[861] * vX_[685] + vX_[1007] * vX_[720] + vX_[1012] * vX_[62];
+ vX_[784] = vX_[1018] * vX_[685] + vX_[992] * vX_[720] + vX_[1005] * vX_[62];
+ vX_[599] = vX_[839] * vX_[938] - vX_[1015] * vX_[784];
+ vX_[62] = vX_[870] * vX_[685] + vX_[860] * vX_[720] + vX_[1017] * vX_[62];
+ vX_[720] = vX_[1021] * vX_[784] - vX_[839] * vX_[62];
+ vX_[869] = vX_[868] * vX_[869] + vX_[1677] * vX_[612] - (vX_[788] * vX_[576] + vX_[636] * vX_[3]);
+ vX_[685] = 0.110125 * (vX_[1201] - vX_[962]) + 0.025941 * vX_[1518] - vX_[836] * vX_[599] - vX_[137] * vX_[720] - vX_[862] * vX_[62] - vX_[994] * vX_[938] - vX_[999] * vX_[784] - -0.000881 * vX_[869];
+ vX_[793] = 0 - vX_[685];
+ vX_[501] = vX_[788] * vX_[636] + vX_[636] * vX_[788];
+ vX_[1201] = -0.881 * (vX_[962] - vX_[1201]) + 0.110125 * vX_[1518] + 0.417781802643138 * vX_[752] + -0.00370574557885489 * vX_[24] + (0.110125 * vX_[793]) / 0.026181 - vX_[1006] * vX_[62] - vX_[1025] * vX_[938] - vX_[1026] * vX_[784] - -0.000881 * (vX_[501] + vX_[1188] * vX_[681] + vX_[681] * vX_[1188]);
+ vX_[501] = 0.881 * vX_[869] + -0.000881 * vX_[1518] + -0.00370574557885489 * vX_[752] + 0.880970354035369 * vX_[24] + (0.000881 * vX_[793]) / 0.026181 - vX_[1028] * vX_[62] - vX_[1030] * vX_[938] - vX_[1032] * vX_[784] - 0.110125 * (vX_[501] + vX_[868] * vX_[1677] + vX_[1677] * vX_[868]);
+ vX_[869] = (- vX_[914]) * x_in[31];
+ vX_[1518] = vX_[651] * x_in[31];
+ vX_[962] = (- vX_[58]) * x_in[31];
+ vX_[732] = vX_[35] * x_in[31];
+ vX_[634] = vX_[712] * vX_[636] + vX_[914] * vX_[711];
+ vX_[1353] = vX_[959] * vX_[1353] + vX_[651] * vX_[6] - (vX_[711] * vX_[35] + vX_[636] * vX_[709]);
+ vX_[1338] = vX_[959] * vX_[636] + vX_[651] * vX_[711];
+ vX_[844] = vX_[959] * vX_[651] + vX_[651] * vX_[959];
+ vX_[114] = vX_[712] * vX_[914] + vX_[914] * vX_[712];
+ vX_[685] = 0.47422804 * (vX_[964] - vX_[126]) + 0.081641 * vX_[731] + 2.1e-05 * vX_[634] + (0.026181 * vX_[793]) / 0.026181 + vX_[685] + vX_[1034] * vX_[1201] + vX_[141] * vX_[501] - 0.0825825 * vX_[1353] - -0.000102 * vX_[1338] - -0.007418 * (vX_[844] - vX_[114]);
+ vX_[728] = 0 - vX_[685];
+ vX_[471] = vX_[711] * vX_[636] + vX_[636] * vX_[711];
+ vX_[964] = -3.146 * (vX_[126] - vX_[964]) + 0.47422804 * vX_[731] + vX_[142] * vX_[1201] + vX_[140] * vX_[501] + vX_[161] * vX_[869] + vX_[158] * vX_[1518] + vX_[187] * vX_[962] + vX_[189] * vX_[732] + (vX_[154] * vX_[728]) / vX_[156] - 0.0825825 * (vX_[471] + vX_[114]);
+ vX_[1353] = 3.146 * vX_[1353] + 0.0825825 * vX_[731] + vX_[1037] * vX_[1201] + vX_[142] * vX_[501] + vX_[167] * vX_[869] + vX_[166] * vX_[1518] + vX_[189] * vX_[962] + vX_[188] * vX_[732] + (vX_[164] * vX_[728]) / vX_[156] - 0.47422804 * (vX_[471] + vX_[844]);
+ vX_[501] = (- vX_[209]) * x_in[30];
+ vX_[1201] = vX_[138] * x_in[30];
+ vX_[126] = (- vX_[1570]) * x_in[30];
+ vX_[60] = vX_[210] * x_in[30];
+ vX_[59] = vX_[973] * vX_[138] + vX_[209] * vX_[660];
+ vX_[974] = vX_[622] * vX_[1570];
+ vX_[623] = vX_[209] * vX_[5];
+ vX_[546] = vX_[209] * vX_[622];
+ vX_[697] = (- vX_[681]) * x_in[32];
+ vX_[61] = vX_[1015] * vX_[62] - vX_[1021] * vX_[938];
+ vX_[576] = vX_[1188] * vX_[576] + vX_[681] * vX_[3] - (vX_[868] * vX_[655] + vX_[1677] * vX_[1104]);
+ vX_[681] = vX_[1188] * vX_[636] + vX_[681] * vX_[788];
+ vX_[655] = 0.026409 * vX_[697] - vX_[1006] * vX_[599] - vX_[1024] * vX_[720] - vX_[1026] * vX_[61] - vX_[1045] * vX_[62] - vX_[1052] * vX_[938] - vX_[1057] * vX_[784] - 0.110125 * vX_[576] - 0.025713 * vX_[681];
+ vX_[636] = vX_[868] * vX_[636] + vX_[1677] * vX_[788];
+ vX_[1677] = vX_[1677] * x_in[32];
+ vX_[61] = -0.000227999999999999 * vX_[636] + -0.000881 * vX_[576] + 0.000468 * vX_[1677] - vX_[1028] * vX_[599] - vX_[1029] * vX_[720] - vX_[1060] * vX_[61] - vX_[1067] * vX_[62] - vX_[1074] * vX_[938] - vX_[1078] * vX_[784];
+ vX_[1677] = 0.110125 * vX_[681] + 0.881 * vX_[576] + -0.000881 * vX_[636] + -0.110125 * vX_[697] + -0.000881 * vX_[1677] - vX_[840] * vX_[62] - vX_[137] * vX_[938];
+ vX_[35] = vX_[712] * vX_[35] + vX_[914] * vX_[709] - (vX_[959] * vX_[58] + vX_[651] * vX_[722]);
+ vX_[114] = -0.007418 * vX_[1338] + -0.000102 * (vX_[471] - vX_[114]) + vX_[142] * vX_[655] + vX_[140] * vX_[61] + -0.35 * vX_[1677] + vX_[183] * vX_[869] + vX_[175] * vX_[1518] + vX_[161] * vX_[962] + vX_[167] * vX_[732] + (2.1e-05 * vX_[728]) / vX_[156] - 0.47422804 * vX_[35] - 0.084376 * vX_[634] - 2.1e-05 * vX_[731];
+ vX_[61] = 0.002735 * vX_[1338] + 0.0825825 * vX_[35] + -0.000102 * vX_[731] + vX_[152] * vX_[655] + vX_[142] * vX_[61] + vX_[175] * vX_[869] + vX_[182] * vX_[1518] + vX_[158] * vX_[962] + vX_[166] * vX_[732] + (-0.000102 * vX_[728]) / vX_[156] - -0.007418 * vX_[634] - 2.1e-05 * (vX_[471] - vX_[844]);
+ vX_[35] = 0.47422804 * vX_[634] + 3.146 * vX_[35] + 0.0825825 * vX_[1338] + vX_[1677] + vX_[153] * vX_[869] + vX_[163] * vX_[1518];
+ vX_[1677] = vX_[660] * vX_[138] + vX_[138] * vX_[660];
+ vX_[1338] = 0.009466 * vX_[59] + 0.1466472 * (vX_[974] - vX_[623]) + -5.1e-05 * vX_[546] + vX_[139] * vX_[114] + vX_[159] * vX_[61] + -0.08 * vX_[35] - 0.022734 * vX_[761] - 3.6e-05 * (vX_[1677] - vX_[63]);
+ vX_[634] = 0 - vX_[1338];
+ vX_[655] = vX_[973] * vX_[210] + vX_[209] * vX_[1336] - (vX_[660] * vX_[1570] + vX_[138] * vX_[657]);
+ vX_[685] = -0.5824264 * vX_[462] + 3.6e-05 * vX_[761] + 0.022734 * (0 - vX_[63]) + vX_[790] * vX_[964] + vX_[177] * vX_[1353] + -1 * (vX_[685] + (vX_[156] * vX_[728]) / vX_[156]) + vX_[507] * vX_[501] + vX_[557] * vX_[1201] + vX_[241] * vX_[126] + vX_[230] * vX_[60] + (vX_[240] * vX_[634]) / vX_[203] - 0.1466472 * vX_[655] - -0.123672 * vX_[546] - -5.1e-05 * vX_[59];
+ vX_[61] = -0.133138 * vX_[761] + -0.5824264 * (vX_[623] - vX_[974]) + 0.022734 * vX_[59] + vX_[160] * vX_[114] + vX_[139] * vX_[61] + vX_[557] * vX_[501] + vX_[202] * vX_[1201] + vX_[231] * vX_[126] + vX_[205] * vX_[60] + (vX_[198] * vX_[634]) / vX_[203] - 3.6e-05 * vX_[546] - -5.1e-05 * (0 - vX_[1677]);
+ vX_[655] = 3.44 * vX_[655] + 0.1466472 * vX_[546] + vX_[139] * vX_[964] + vX_[159] * vX_[1353] + vX_[216] * vX_[501] + vX_[192] * vX_[1201] + vX_[234] * vX_[126] + vX_[227] * vX_[60] + (vX_[225] * vX_[634]) / vX_[203] - -0.5824264 * (vX_[1677] + vX_[63]);
+ vX_[35] = 0.1466472 * vX_[59] + -3.44 * (vX_[623] - vX_[974]) + -0.5824264 * vX_[761] + -1 * vX_[35] + vX_[241] * vX_[501] + vX_[231] * vX_[1201] + vX_[233] * vX_[126] + vX_[219] * vX_[60] + (vX_[217] * vX_[634]) / vX_[203];
+ vX_[1677] = 3.44 * vX_[462] + -0.5824264 * vX_[546] + vX_[1079] * vX_[964] + vX_[139] * vX_[1353] + vX_[230] * vX_[501] + vX_[205] * vX_[1201] + vX_[219] * vX_[126] + vX_[245] * vX_[60] + (vX_[201] * vX_[634]) / vX_[203] - 0.1466472 * vX_[1677];
+ vX_[546] = vX_[249] * vX_[1349] - vX_[1441] * vX_[329];
+ vX_[1353] = vX_[249] * vX_[1441];
+ vX_[964] = vX_[1198] * vX_[328] + vX_[328] * vX_[1198];
+ vX_[462] = vX_[250] * vX_[1571] + vX_[299] * vX_[249];
+ vX_[623] = vX_[847] * vX_[462] + vX_[249] * vX_[842];
+ vX_[974] = vX_[250] * vX_[328];
+ vX_[59] = vX_[1190] * vX_[329] + vX_[974] * vX_[957];
+ vX_[761] = vX_[278] * vX_[328];
+ vX_[63] = vX_[1190] * vX_[761] + vX_[974] * vX_[1328];
+ vX_[114] = vX_[1190] * vX_[249] + vX_[974] * vX_[847];
+ vX_[471] = vX_[1319] * vX_[1571] + vX_[1274] * vX_[249];
+ vX_[844] = vX_[253] * vX_[471] + vX_[251] * vX_[462] + vX_[256] * vX_[249];
+ vX_[731] = vX_[953] * vX_[844] + vX_[249] * vX_[1434];
+ vX_[651] = -0.35 * vX_[761] + vX_[329];
+ vX_[58] = vX_[251] * vX_[974] + vX_[253] * vX_[761];
+ vX_[914] = vX_[700] * vX_[651] + vX_[58] * vX_[863];
+ vX_[636] = vX_[254] * vX_[974] + vX_[251] * vX_[761];
+ vX_[681] = vX_[700] * vX_[636] + vX_[58] * vX_[1084];
+ vX_[576] = 0 - vX_[1144];
+ vX_[697] = -1000. * (vX_[1118] * vX_[576] + vX_[1179] * vX_[1175]) * vX_[1228];
+ vX_[62] = -1000. * (vX_[1152] * vX_[576] + vX_[1246] * vX_[1175]) * vX_[1228];
+ vX_[576] = -1000. * (vX_[1178] * vX_[576] + vX_[1150] * vX_[1175]) * vX_[1228];
+ vX_[1175] = vX_[1103] * vX_[697] + vX_[1243] * vX_[62] + vX_[1248] * vX_[576];
+ vX_[938] = vX_[1254] * vX_[697] + vX_[1232] * vX_[62] + vX_[1241] * vX_[576];
+ vX_[720] = vX_[1081] * vX_[1175] - vX_[1251] * vX_[938];
+ vX_[576] = vX_[740] * vX_[697] + vX_[1102] * vX_[62] + vX_[1253] * vX_[576];
+ vX_[62] = vX_[1257] * vX_[938] - vX_[1081] * vX_[576];
+ vX_[697] = vX_[251] * vX_[471] + vX_[1276] * vX_[462] + vX_[1252] * vX_[249];
+ vX_[651] = vX_[1084] * vX_[651] + vX_[636] * vX_[863] - (vX_[953] * vX_[697] + vX_[249] * vX_[1516]);
+ vX_[599] = 0.1104774 * (vX_[731] - vX_[914]) + 0.025941 * vX_[681] - vX_[328] * vX_[720] - vX_[249] * vX_[62] - vX_[1105] * vX_[576] - vX_[1230] * vX_[1175] - vX_[1235] * vX_[938] - 0.0004405 * vX_[651];
+ vX_[784] = 0 - vX_[599];
+ vX_[29] = vX_[1084] * vX_[249] + vX_[636] * vX_[953];
+ vX_[769] = (- vX_[844]) * x_in[29];
+ vX_[606] = vX_[697] * x_in[29];
+ vX_[109] = vX_[636] * x_in[29];
+ vX_[100] = vX_[953] * vX_[249] + vX_[249] * vX_[953];
+ vX_[632] = vX_[700] * vX_[58] + vX_[58] * vX_[700];
+ vX_[669] = -0.881 * (vX_[914] - vX_[731]) + 0.1104774 * vX_[681] + -8.81e-05 * vX_[29] + 0.414812462825713 * vX_[769] + 0.00185880198235362 * vX_[606] + 8.81e-05 * vX_[109] + (0.1104774 * vX_[784]) / 0.026181 - vX_[1258] * vX_[576] - vX_[1263] * vX_[1175] - vX_[1265] * vX_[938] - 0.0004405 * (vX_[100] + vX_[632]);
+ vX_[671] = vX_[700] * vX_[249] + vX_[58] * vX_[953];
+ vX_[664] = (- vX_[58]) * x_in[29];
+ vX_[17] = vX_[1084] * vX_[636] + vX_[636] * vX_[1084];
+ vX_[100] = 0.881 * vX_[651] + -8.81e-05 * vX_[671] + 0.0004405 * vX_[681] + 0.00185880198235362 * vX_[769] + 0.880992588508842 * vX_[606] + -8.81e-05 * vX_[664] + (-0.0004405 * vX_[784]) / 0.026181 - vX_[1267] * vX_[576] - vX_[1269] * vX_[1175] - vX_[1271] * vX_[938] - 0.1104774 * (vX_[100] + vX_[17]);
+ vX_[681] = vX_[1328] * vX_[329] + vX_[761] * vX_[957] - (vX_[847] * vX_[471] + vX_[249] * vX_[846]);
+ vX_[733] = vX_[1328] * vX_[249] + vX_[761] * vX_[847];
+ vX_[727] = vX_[1328] * vX_[761] + vX_[761] * vX_[1328];
+ vX_[648] = vX_[1190] * vX_[974] + vX_[974] * vX_[1190];
+ vX_[599] = 0.47422804 * (vX_[623] - vX_[59]) + 0.081641 * vX_[63] + 2.1e-05 * vX_[114] + (0.026181 * vX_[784]) / 0.026181 + vX_[599] + vX_[1252] * vX_[669] + vX_[256] * vX_[100] - -0.0825825 * vX_[681] - 0.000102 * vX_[733] - 0.007418 * (vX_[727] - vX_[648]);
+ vX_[82] = 0 - vX_[599];
+ vX_[646] = (- vX_[974]) * x_in[28];
+ vX_[32] = vX_[761] * x_in[28];
+ vX_[628] = (- vX_[462]) * x_in[28];
+ vX_[600] = vX_[471] * x_in[28];
+ vX_[1691] = vX_[847] * vX_[249] + vX_[249] * vX_[847];
+ vX_[59] = -3.146 * (vX_[59] - vX_[623]) + 0.47422804 * vX_[63] + vX_[251] * vX_[669] + vX_[253] * vX_[100] + vX_[282] * vX_[646] + vX_[276] * vX_[32] + vX_[308] * vX_[628] + vX_[310] * vX_[600] + (vX_[272] * vX_[82]) / vX_[274] - -0.0825825 * (vX_[1691] + vX_[648]);
+ vX_[681] = 3.146 * vX_[681] + -0.0825825 * vX_[63] + vX_[1276] * vX_[669] + vX_[251] * vX_[100] + vX_[288] * vX_[646] + vX_[287] * vX_[32] + vX_[310] * vX_[628] + vX_[309] * vX_[600] + (vX_[285] * vX_[82]) / vX_[274] - 0.47422804 * (vX_[1691] + vX_[727]);
+ vX_[100] = (- vX_[328]) * x_in[27];
+ vX_[669] = vX_[249] * x_in[27];
+ vX_[623] = (- vX_[1571]) * x_in[27];
+ vX_[1110] = vX_[329] * x_in[27];
+ vX_[93] = vX_[1198] * vX_[249] + vX_[328] * vX_[1327];
+ vX_[120] = vX_[1441] * vX_[1571];
+ vX_[876] = vX_[328] * vX_[1349];
+ vX_[702] = vX_[328] * vX_[1441];
+ vX_[1632] = vX_[1251] * vX_[576] - vX_[1257] * vX_[1175];
+ vX_[697] = vX_[700] * vX_[697] + vX_[58] * vX_[1516] - (vX_[1084] * vX_[844] + vX_[636] * vX_[1434]);
+ vX_[651] = -8.81e-05 * vX_[651] + -8.81e-05 * vX_[606] + 0.026409 * vX_[664] - vX_[1258] * vX_[720] - vX_[1262] * vX_[62] - vX_[1264] * vX_[1632] - vX_[1285] * vX_[576] - vX_[1292] * vX_[1175] - vX_[1297] * vX_[938] - 0.1104774 * vX_[697] - 0.025713 * vX_[671];
+ vX_[1632] = 0.0004405 * vX_[697] + -8.81e-05 * (vX_[914] - vX_[731]) + -0.000227999999999999 * vX_[29] + 8.81e-05 * vX_[769] + 0.000468 * vX_[109] - vX_[1267] * vX_[720] - vX_[1269] * vX_[62] - vX_[1271] * vX_[1632] - vX_[1305] * vX_[576] - vX_[1312] * vX_[1175] - vX_[1317] * vX_[938];
+ vX_[697] = 0.881 * vX_[697] + 0.1104774 * vX_[671] + 0.0004405 * vX_[29] + -0.1104774 * vX_[664] + 0.0004405 * vX_[109] - vX_[328] * vX_[576] - vX_[249] * vX_[1175] - -8.81e-05 * (vX_[17] + vX_[632]);
+ vX_[471] = vX_[1190] * vX_[471] + vX_[974] * vX_[846] - (vX_[1328] * vX_[462] + vX_[761] * vX_[842]);
+ vX_[648] = 0.007418 * vX_[733] + 0.000102 * (vX_[1691] - vX_[648]) + vX_[251] * vX_[651] + vX_[253] * vX_[1632] + -0.35 * vX_[697] + vX_[304] * vX_[646] + vX_[296] * vX_[32] + vX_[282] * vX_[628] + vX_[288] * vX_[600] + (vX_[281] * vX_[82]) / vX_[274] - 0.47422804 * vX_[471] - 0.084376 * vX_[114] - 2.1e-05 * vX_[63];
+ vX_[1632] = 0.002735 * vX_[733] + -0.0825825 * vX_[471] + 0.000102 * vX_[63] + vX_[254] * vX_[651] + vX_[251] * vX_[1632] + vX_[296] * vX_[646] + vX_[303] * vX_[32] + vX_[276] * vX_[628] + vX_[287] * vX_[600] + (vX_[262] * vX_[82]) / vX_[274] - 0.007418 * vX_[114] - 2.1e-05 * (vX_[1691] - vX_[727]);
+ vX_[471] = 0.47422804 * vX_[114] + 3.146 * vX_[471] + -0.0825825 * vX_[733] + vX_[697] + vX_[271] * vX_[646] + vX_[284] * vX_[32];
+ vX_[697] = vX_[1327] * vX_[249] + vX_[249] * vX_[1327];
+ vX_[733] = 0.009466 * vX_[93] + 0.1466472 * (vX_[120] - vX_[876]) + -5.1e-05 * vX_[702] + vX_[297] * vX_[648] + vX_[278] * vX_[1632] + 0.08 * vX_[471] - 0.022734 * vX_[1353] - 3.6e-05 * (vX_[697] - vX_[964]);
+ vX_[114] = 0 - vX_[733];
+ vX_[651] = vX_[1198] * vX_[329] + vX_[328] * vX_[595] - (vX_[1327] * vX_[1571] + vX_[249] * vX_[1089]);
+ vX_[599] = -0.5824264 * vX_[546] + 3.6e-05 * vX_[1353] + 0.022734 * (0 - vX_[964]) + (vX_[274] * vX_[82]) / vX_[274] + vX_[599] + vX_[1274] * vX_[59] + vX_[299] * vX_[681] + vX_[521] * vX_[100] + vX_[566] * vX_[669] + vX_[361] * vX_[623] + vX_[350] * vX_[1110] + (vX_[360] * vX_[114]) / vX_[324] - 0.1466472 * vX_[651] - -0.123672 * vX_[702] - -5.1e-05 * vX_[93];
+ vX_[1632] = -0.133138 * vX_[1353] + -0.5824264 * (vX_[876] - vX_[120]) + 0.022734 * vX_[93] + vX_[278] * vX_[648] + vX_[250] * vX_[1632] + vX_[566] * vX_[100] + vX_[323] * vX_[669] + vX_[351] * vX_[623] + vX_[326] * vX_[1110] + (vX_[319] * vX_[114]) / vX_[324] - 3.6e-05 * vX_[702] - -5.1e-05 * (0 - vX_[697]);
+ vX_[651] = 3.44 * vX_[651] + 0.1466472 * vX_[702] + vX_[1229] * vX_[59] + vX_[698] * vX_[681] + vX_[336] * vX_[100] + vX_[313] * vX_[669] + vX_[354] * vX_[623] + vX_[347] * vX_[1110] + (vX_[345] * vX_[114]) / vX_[324] - -0.5824264 * (vX_[697] + vX_[964]);
+ vX_[471] = 0.1466472 * vX_[93] + -3.44 * (vX_[876] - vX_[120]) + -0.5824264 * vX_[1353] + vX_[471] + vX_[361] * vX_[100] + vX_[351] * vX_[669] + vX_[353] * vX_[623] + vX_[339] * vX_[1110] + (vX_[337] * vX_[114]) / vX_[324];
+ vX_[697] = 3.44 * vX_[546] + -0.5824264 * vX_[702] + vX_[1319] * vX_[59] + vX_[250] * vX_[681] + vX_[350] * vX_[100] + vX_[326] * vX_[669] + vX_[339] * vX_[623] + vX_[365] * vX_[1110] + (vX_[322] * vX_[114]) / vX_[324] - 0.1466472 * vX_[697];
+ vX_[702] = vX_[370] * vX_[1116] - vX_[1272] * vX_[452];
+ vX_[681] = vX_[370] * vX_[1272];
+ vX_[59] = vX_[1331] * vX_[451] + vX_[451] * vX_[1331];
+ vX_[546] = -1 * vX_[452];
+ vX_[876] = vX_[371] * vX_[451];
+ vX_[120] = vX_[877] * vX_[546] + vX_[876] * vX_[1096];
+ vX_[93] = vX_[371] * vX_[1572] + vX_[419] * vX_[370];
+ vX_[1353] = -1 * vX_[370];
+ vX_[964] = vX_[849] * vX_[93] + vX_[1353] * vX_[1340];
+ vX_[648] = vX_[399] * vX_[451];
+ vX_[1691] = vX_[877] * vX_[648] + vX_[876] * vX_[866];
+ vX_[727] = -0.35 * vX_[648] + vX_[546];
+ vX_[63] = vX_[372] * vX_[876] + vX_[374] * vX_[648];
+ vX_[761] = vX_[1147] * vX_[727] + vX_[63] * vX_[845];
+ vX_[974] = vX_[1562] * vX_[1572] + vX_[1275] * vX_[370];
+ vX_[462] = vX_[374] * vX_[974] + vX_[372] * vX_[93] + vX_[377] * vX_[1353];
+ vX_[17] = vX_[593] * vX_[462] + vX_[1353] * vX_[1466];
+ vX_[664] = vX_[375] * vX_[876] + vX_[372] * vX_[648];
+ vX_[671] = vX_[1147] * vX_[664] + vX_[63] * vX_[1392];
+ vX_[632] = vX_[1392] * vX_[1353] + vX_[664] * vX_[593];
+ vX_[109] = (- vX_[462]) * x_in[26];
+ vX_[29] = vX_[372] * vX_[974] + vX_[1520] * vX_[93] + vX_[1517] * vX_[1353];
+ vX_[576] = vX_[29] * x_in[26];
+ vX_[1175] = vX_[664] * x_in[26];
+ vX_[62] = 0 - vX_[1390];
+ vX_[720] = -1000. * (vX_[1365] * vX_[62] + vX_[1425] * vX_[1421]) * vX_[1474];
+ vX_[938] = -1000. * (vX_[1398] * vX_[62] + vX_[1493] * vX_[1421]) * vX_[1474];
+ vX_[62] = -1000. * (vX_[1424] * vX_[62] + vX_[1396] * vX_[1421]) * vX_[1474];
+ vX_[1421] = vX_[1347] * vX_[720] + vX_[1490] * vX_[938] + vX_[1495] * vX_[62];
+ vX_[914] = vX_[1501] * vX_[720] + vX_[1475] * vX_[938] + vX_[1488] * vX_[62];
+ vX_[731] = vX_[1325] * vX_[1421] - vX_[1498] * vX_[914];
+ vX_[62] = vX_[1356] * vX_[720] + vX_[1346] * vX_[938] + vX_[1500] * vX_[62];
+ vX_[938] = vX_[1504] * vX_[914] - vX_[1325] * vX_[62];
+ vX_[727] = vX_[1392] * vX_[727] + vX_[664] * vX_[845] - (vX_[593] * vX_[29] + vX_[1353] * vX_[1487]);
+ vX_[720] = 0.1104774 * (vX_[17] - vX_[761]) + 0.025941 * vX_[671] - vX_[1321] * vX_[731] - vX_[369] * vX_[938] - vX_[1348] * vX_[62] - vX_[1477] * vX_[1421] - vX_[1482] * vX_[914] - 0.0004405 * vX_[727];
+ vX_[636] = 0 - vX_[720];
+ vX_[58] = vX_[593] * vX_[1353] + vX_[1353] * vX_[593];
+ vX_[844] = vX_[1147] * vX_[63] + vX_[63] * vX_[1147];
+ vX_[774] = -0.881 * (vX_[761] - vX_[17]) + 0.1104774 * vX_[671] + -8.81e-05 * vX_[632] + 0.414812462825713 * vX_[109] + 0.00185880198235362 * vX_[576] + 8.81e-05 * vX_[1175] + (0.1104774 * vX_[636]) / 0.026181 - vX_[1489] * vX_[62] - vX_[1507] * vX_[1421] - vX_[1508] * vX_[914] - 0.0004405 * (vX_[58] + vX_[844]);
+ vX_[36] = vX_[1147] * vX_[1353] + vX_[63] * vX_[593];
+ vX_[696] = (- vX_[63]) * x_in[26];
+ vX_[737] = vX_[1392] * vX_[664] + vX_[664] * vX_[1392];
+ vX_[58] = 0.881 * vX_[727] + -8.81e-05 * vX_[36] + 0.0004405 * vX_[671] + 0.00185880198235362 * vX_[109] + 0.880992588508842 * vX_[576] + -8.81e-05 * vX_[696] + (-0.0004405 * vX_[636]) / 0.026181 - vX_[1511] * vX_[62] - vX_[1512] * vX_[1421] - vX_[1515] * vX_[914] - 0.1104774 * (vX_[58] + vX_[737]);
+ vX_[671] = (- vX_[876]) * x_in[25];
+ vX_[738] = vX_[648] * x_in[25];
+ vX_[27] = (- vX_[93]) * x_in[25];
+ vX_[106] = vX_[974] * x_in[25];
+ vX_[724] = vX_[877] * vX_[1353] + vX_[876] * vX_[849];
+ vX_[546] = vX_[866] * vX_[546] + vX_[648] * vX_[1096] - (vX_[849] * vX_[974] + vX_[1353] * vX_[1455]);
+ vX_[663] = vX_[866] * vX_[1353] + vX_[648] * vX_[849];
+ vX_[489] = vX_[866] * vX_[648] + vX_[648] * vX_[866];
+ vX_[66] = vX_[877] * vX_[876] + vX_[876] * vX_[877];
+ vX_[720] = 0.47422804 * (vX_[964] - vX_[120]) + 0.081641 * vX_[1691] + 2.1e-05 * vX_[724] + (0.026181 * vX_[636]) / 0.026181 + vX_[720] + vX_[1517] * vX_[774] + vX_[377] * vX_[58] - -0.0825825 * vX_[546] - 0.000102 * vX_[663] - 0.007418 * (vX_[489] - vX_[66]);
+ vX_[911] = 0 - vX_[720];
+ vX_[1353] = vX_[849] * vX_[1353] + vX_[1353] * vX_[849];
+ vX_[964] = -3.146 * (vX_[120] - vX_[964]) + 0.47422804 * vX_[1691] + vX_[372] * vX_[774] + vX_[374] * vX_[58] + vX_[403] * vX_[671] + vX_[397] * vX_[738] + vX_[429] * vX_[27] + vX_[431] * vX_[106] + (vX_[393] * vX_[911]) / vX_[395] - -0.0825825 * (vX_[1353] + vX_[66]);
+ vX_[546] = 3.146 * vX_[546] + -0.0825825 * vX_[1691] + vX_[1520] * vX_[774] + vX_[372] * vX_[58] + vX_[409] * vX_[671] + vX_[408] * vX_[738] + vX_[431] * vX_[27] + vX_[430] * vX_[106] + (vX_[406] * vX_[911]) / vX_[395] - 0.47422804 * (vX_[1353] + vX_[489]);
+ vX_[58] = (- vX_[451]) * x_in[24];
+ vX_[774] = vX_[370] * x_in[24];
+ vX_[120] = (- vX_[1572]) * x_in[24];
+ vX_[775] = vX_[452] * x_in[24];
+ vX_[675] = vX_[1331] * vX_[370] + vX_[451] * vX_[597];
+ vX_[677] = vX_[1272] * vX_[1572];
+ vX_[690] = vX_[451] * vX_[1116];
+ vX_[631] = vX_[451] * vX_[1272];
+ vX_[736] = vX_[1498] * vX_[62] - vX_[1504] * vX_[1421];
+ vX_[29] = vX_[1147] * vX_[29] + vX_[63] * vX_[1487] - (vX_[1392] * vX_[462] + vX_[664] * vX_[1466]);
+ vX_[727] = -8.81e-05 * vX_[727] + -8.81e-05 * vX_[576] + 0.026409 * vX_[696] - vX_[1521] * vX_[731] - vX_[1507] * vX_[938] - vX_[1508] * vX_[736] - vX_[1529] * vX_[62] - vX_[1536] * vX_[1421] - vX_[1541] * vX_[914] - 0.1104774 * vX_[29] - 0.025713 * vX_[36];
+ vX_[736] = 0.0004405 * vX_[29] + -8.81e-05 * (vX_[761] - vX_[17]) + -0.000227999999999999 * vX_[632] + 8.81e-05 * vX_[109] + 0.000468 * vX_[1175] - vX_[1510] * vX_[731] - vX_[1512] * vX_[938] - vX_[1514] * vX_[736] - vX_[1550] * vX_[62] - vX_[1557] * vX_[1421] - vX_[1561] * vX_[914];
+ vX_[29] = 0.881 * vX_[29] + 0.1104774 * vX_[36] + 0.0004405 * vX_[632] + -0.1104774 * vX_[696] + 0.0004405 * vX_[1175] - vX_[1326] * vX_[62] - vX_[369] * vX_[1421] - -8.81e-05 * (vX_[737] + vX_[844]);
+ vX_[974] = vX_[877] * vX_[974] + vX_[876] * vX_[1455] - (vX_[866] * vX_[93] + vX_[648] * vX_[1340]);
+ vX_[66] = 0.007418 * vX_[663] + 0.000102 * (vX_[1353] - vX_[66]) + vX_[372] * vX_[727] + vX_[374] * vX_[736] + -0.35 * vX_[29] + vX_[425] * vX_[671] + vX_[417] * vX_[738] + vX_[403] * vX_[27] + vX_[409] * vX_[106] + (vX_[402] * vX_[911]) / vX_[395] - 0.47422804 * vX_[974] - 0.084376 * vX_[724] - 2.1e-05 * vX_[1691];
+ vX_[736] = 0.002735 * vX_[663] + -0.0825825 * vX_[974] + 0.000102 * vX_[1691] + vX_[375] * vX_[727] + vX_[372] * vX_[736] + vX_[417] * vX_[671] + vX_[424] * vX_[738] + vX_[397] * vX_[27] + vX_[408] * vX_[106] + (vX_[383] * vX_[911]) / vX_[395] - 0.007418 * vX_[724] - 2.1e-05 * (vX_[1353] - vX_[489]);
+ vX_[974] = 0.47422804 * vX_[724] + 3.146 * vX_[974] + -0.0825825 * vX_[663] + vX_[29] + vX_[392] * vX_[671] + vX_[405] * vX_[738];
+ vX_[29] = vX_[597] * vX_[370] + vX_[370] * vX_[597];
+ vX_[663] = 0.009466 * vX_[675] + 0.1466472 * (vX_[677] - vX_[690]) + -5.1e-05 * vX_[631] + vX_[371] * vX_[66] + vX_[398] * vX_[736] + -0.08 * vX_[974] - -0.022734 * vX_[681] - -3.6e-05 * (vX_[29] - vX_[59]);
+ vX_[724] = 0 - vX_[663];
+ vX_[727] = vX_[1331] * vX_[452] + vX_[451] * vX_[1231] - (vX_[597] * vX_[1572] + vX_[370] * vX_[1107]);
+ vX_[720] = 0.5824264 * vX_[702] + -3.6e-05 * vX_[681] + -0.022734 * (0 - vX_[59]) + vX_[1275] * vX_[964] + vX_[419] * vX_[546] + -1 * (vX_[720] + (vX_[395] * vX_[911]) / vX_[395]) + vX_[535] * vX_[58] + vX_[575] * vX_[774] + vX_[483] * vX_[120] + vX_[472] * vX_[775] + (vX_[482] * vX_[724]) / vX_[445] - 0.1466472 * vX_[727] - -0.123672 * vX_[631] - -5.1e-05 * vX_[675];
+ vX_[736] = -0.133138 * vX_[681] + 0.5824264 * (vX_[690] - vX_[677]) + -0.022734 * vX_[675] + vX_[399] * vX_[66] + vX_[371] * vX_[736] + vX_[575] * vX_[58] + vX_[444] * vX_[774] + vX_[473] * vX_[120] + vX_[447] * vX_[775] + (vX_[440] * vX_[724]) / vX_[445] - -3.6e-05 * vX_[631] - -5.1e-05 * (0 - vX_[29]);
+ vX_[727] = 3.44 * vX_[727] + 0.1466472 * vX_[631] + vX_[371] * vX_[964] + vX_[398] * vX_[546] + vX_[458] * vX_[58] + vX_[434] * vX_[774] + vX_[476] * vX_[120] + vX_[469] * vX_[775] + (vX_[467] * vX_[724]) / vX_[445] - 0.5824264 * (vX_[29] + vX_[59]);
+ vX_[974] = 0.1466472 * vX_[675] + -3.44 * (vX_[690] - vX_[677]) + 0.5824264 * vX_[681] + -1 * vX_[974] + vX_[483] * vX_[58] + vX_[473] * vX_[774] + vX_[475] * vX_[120] + vX_[461] * vX_[775] + (vX_[459] * vX_[724]) / vX_[445];
+ vX_[29] = 3.44 * vX_[702] + 0.5824264 * vX_[631] + vX_[1562] * vX_[964] + vX_[371] * vX_[546] + vX_[472] * vX_[58] + vX_[447] * vX_[774] + vX_[461] * vX_[120] + vX_[487] * vX_[775] + (vX_[443] * vX_[724]) / vX_[445] - 0.1466472 * vX_[29];
+ vX_[631] = x_in[19] + x_in[19];
+ vX_[546] = 0 - x_in[21];
+ vX_[663] = (-0.0053433 * vX_[546] + 0.473273 * x_in[20] + 0.190812 * x_in[18] + (vX_[92] * vX_[624]) / vX_[92] + vX_[492] + vX_[136] * vX_[79] + vX_[95] * vX_[725] + vX_[248] * vX_[35] + vX_[206] * vX_[1677] + -1 * (vX_[1338] + (vX_[203] * vX_[634]) / vX_[203]) + (vX_[324] * vX_[114]) / vX_[324] + vX_[733] + vX_[368] * vX_[471] + vX_[327] * vX_[697] + vX_[1573] * vX_[974] + vX_[448] * vX_[29] + -1 * (vX_[663] + (vX_[445] * vX_[724]) / vX_[445]) - 0.012668 * (0 - vX_[631])) / vX_[583];
+ vX_[733] = (2.0678571 * x_in[23] + -0.00571 * x_in[20] + vX_[26] * vX_[640] + vX_[96] * vX_[686] + vX_[97] * vX_[79] + vX_[1569] * vX_[725] + vX_[138] * vX_[685] + vX_[209] * vX_[61] + vX_[210] * vX_[35] + vX_[1570] * vX_[1677] + vX_[249] * vX_[599] + vX_[328] * vX_[1632] + vX_[329] * vX_[471] + vX_[1571] * vX_[697] + vX_[370] * vX_[720] + vX_[451] * vX_[736] + vX_[452] * vX_[974] + vX_[1572] * vX_[29] - -1.1915559 * vX_[546] - 0.012668 * x_in[18] - vX_[1566] * vX_[663]) / vX_[580];
+ vX_[736] = (4.374212 * x_in[18] + vX_[96] * vX_[640] + vX_[98] * vX_[686] + 0.207 * vX_[639] + vX_[99] * vX_[79] + vX_[834] * vX_[725] + vX_[208] * vX_[685] + vX_[138] * vX_[61] + 0.207 * vX_[655] + vX_[211] * vX_[35] + vX_[998] * vX_[1677] + vX_[328] * vX_[599] + vX_[330] * vX_[1632] + 0.207 * vX_[651] + vX_[331] * vX_[471] + vX_[1318] * vX_[697] + vX_[450] * vX_[720] + vX_[370] * vX_[736] + 0.207 * vX_[727] + vX_[453] * vX_[974] + vX_[1481] * vX_[29] - -0.0053433 * x_in[23] - 0.190812 * x_in[20] - -0.00571 * vX_[631] - vX_[1568] * vX_[733] - vX_[490] * vX_[663]) / vX_[582];
+ vX_[727] = (53.433 * x_in[23] + -0.0053433 * x_in[18] + vX_[639] + -1 * vX_[655] + vX_[651] + -1 * vX_[727] - -1.1915559 * vX_[631] - vX_[1610] * vX_[733] - vX_[1630] * vX_[663] - vX_[1627] * vX_[736]) / vX_[1657];
+ vX_[651] = (-1.1915559 * x_in[18] + 2.0678571 * x_in[20] + vX_[26] * vX_[79] + vX_[96] * vX_[725] + vX_[1615] * vX_[35] + vX_[1616] * vX_[1677] + vX_[249] * vX_[471] + vX_[328] * vX_[697] + vX_[1617] * vX_[974] + vX_[1618] * vX_[29] - vX_[1587] * vX_[733] - vX_[1611] * vX_[663] - vX_[1575] * vX_[736] - vX_[1629] * vX_[727]) / vX_[1654];
+ vX_[546] = (53.433 * vX_[546] + -0.0053433 * x_in[20] + vX_[96] * vX_[79] + vX_[1667] * vX_[725] + vX_[208] * vX_[35] + vX_[1668] * vX_[1677] + vX_[328] * vX_[471] + vX_[1669] * vX_[697] + vX_[450] * vX_[974] + vX_[1670] * vX_[29] - 2.0678571 * vX_[631] - vX_[748] * vX_[733] - vX_[1626] * vX_[663] - vX_[484] * vX_[736] - vX_[1664] * vX_[727] - vX_[1584] * vX_[651]) / vX_[1656];
+ jac[707] = - vX_[546];
+ vX_[651] = vX_[651] - vX_[1666] * vX_[546];
+ jac[706] = - vX_[651];
+ vX_[727] = vX_[727] - vX_[1665] * vX_[546] - vX_[1599] * vX_[651];
+ jac[705] = - vX_[727];
+ vX_[736] = vX_[736] - vX_[1614] * vX_[651] - vX_[1628] * vX_[727] - vX_[1660] * vX_[546];
+ jac[704] = - vX_[736];
+ vX_[733] = vX_[733] - vX_[1619] * vX_[727] - vX_[1565] * vX_[736] - vX_[1613] * vX_[651] - vX_[1659] * vX_[546];
+ jac[702] = vX_[584] * vX_[736] + vX_[1567] * vX_[733] + vX_[1593] * vX_[727] + vX_[1612] * vX_[651] + vX_[1658] * vX_[546] - vX_[663];
+ jac[703] = - vX_[733];
+ vX_[733] = -1 * jac[702];
+ vX_[58] = vX_[450] * jac[704] + vX_[370] * jac[703] + vX_[58];
+ vX_[774] = vX_[370] * jac[704] + vX_[451] * jac[703] + vX_[774];
+ vX_[736] = -1 * jac[705];
+ vX_[727] = 0.207 * jac[704] + vX_[736];
+ vX_[775] = vX_[1481] * jac[704] + vX_[1572] * jac[703] + vX_[448] * jac[702] + vX_[1670] * jac[707] + vX_[1618] * jac[706] + vX_[775];
+ jac[708] = (vX_[724] - vX_[445] * vX_[733] - vX_[482] * vX_[58] - vX_[440] * vX_[774] - vX_[467] * vX_[727] - vX_[459] * (vX_[453] * jac[704] + vX_[452] * jac[703] + vX_[1573] * jac[702] + vX_[450] * jac[707] + vX_[1617] * jac[706] + vX_[120]) - vX_[443] * vX_[775]) / vX_[445];
+ vX_[724] = -1 * vX_[58];
+ vX_[120] = vX_[733] + jac[708];
+ vX_[27] = vX_[371] * vX_[727] + vX_[1562] * vX_[775] + vX_[1275] * vX_[58] + vX_[27];
+ vX_[775] = vX_[398] * vX_[727] + vX_[371] * vX_[775] + vX_[419] * vX_[58] + vX_[106];
+ jac[709] = (vX_[911] - vX_[395] * vX_[724] - vX_[402] * (vX_[371] * vX_[120] + vX_[399] * vX_[774] + vX_[671]) - vX_[383] * (vX_[398] * vX_[120] + vX_[371] * vX_[774] + vX_[738]) - vX_[393] * vX_[27] - vX_[406] * vX_[775]) / vX_[395];
+ vX_[724] = vX_[724] + jac[709];
+ jac[710] = (vX_[636] - 0.1104774 * (vX_[372] * vX_[27] + vX_[1520] * vX_[775] + vX_[1517] * vX_[724] + vX_[109]) - -0.0004405 * (vX_[374] * vX_[27] + vX_[372] * vX_[775] + vX_[377] * vX_[724] + vX_[576]) - 0.026181 * vX_[724]) / 0.026181;
+ vX_[100] = vX_[328] * jac[704] + vX_[249] * jac[703] + vX_[100];
+ vX_[669] = vX_[330] * jac[704] + vX_[328] * jac[703] + vX_[669];
+ vX_[724] = 0.207 * jac[704] + jac[705];
+ vX_[1110] = vX_[1318] * jac[704] + vX_[1571] * jac[703] + vX_[327] * jac[702] + vX_[1669] * jac[707] + vX_[328] * jac[706] + vX_[1110];
+ jac[711] = (vX_[114] - vX_[324] * jac[702] - vX_[360] * vX_[100] - vX_[319] * vX_[669] - vX_[345] * vX_[724] - vX_[337] * (vX_[331] * jac[704] + vX_[329] * jac[703] + vX_[368] * jac[702] + vX_[328] * jac[707] + vX_[249] * jac[706] + vX_[623]) - vX_[322] * vX_[1110]) / vX_[324];
+ vX_[114] = jac[702] + jac[711];
+ vX_[628] = vX_[1229] * vX_[724] + vX_[1319] * vX_[1110] + vX_[1274] * vX_[100] + vX_[628];
+ vX_[1110] = vX_[698] * vX_[724] + vX_[250] * vX_[1110] + vX_[299] * vX_[100] + vX_[600];
+ jac[712] = (vX_[82] - vX_[274] * vX_[100] - vX_[281] * (vX_[297] * vX_[114] + vX_[278] * vX_[669] + vX_[646]) - vX_[262] * (vX_[278] * vX_[114] + vX_[250] * vX_[669] + vX_[32]) - vX_[272] * vX_[628] - vX_[285] * vX_[1110]) / vX_[274];
+ vX_[100] = vX_[100] + jac[712];
+ jac[713] = (vX_[784] - 0.1104774 * (vX_[251] * vX_[628] + vX_[1276] * vX_[1110] + vX_[1252] * vX_[100] + vX_[769]) - -0.0004405 * (vX_[253] * vX_[628] + vX_[251] * vX_[1110] + vX_[256] * vX_[100] + vX_[606]) - 0.026181 * vX_[100]) / 0.026181;
+ vX_[501] = vX_[208] * jac[704] + vX_[138] * jac[703] + vX_[501];
+ vX_[1201] = vX_[138] * jac[704] + vX_[209] * jac[703] + vX_[1201];
+ vX_[736] = 0.207 * jac[704] + vX_[736];
+ vX_[60] = vX_[998] * jac[704] + vX_[1570] * jac[703] + vX_[206] * jac[702] + vX_[1668] * jac[707] + vX_[1616] * jac[706] + vX_[60];
+ jac[714] = (vX_[634] - vX_[203] * vX_[733] - vX_[240] * vX_[501] - vX_[198] * vX_[1201] - vX_[225] * vX_[736] - vX_[217] * (vX_[211] * jac[704] + vX_[210] * jac[703] + vX_[248] * jac[702] + vX_[208] * jac[707] + vX_[1615] * jac[706] + vX_[126]) - vX_[201] * vX_[60]) / vX_[203];
+ vX_[634] = -1 * vX_[501];
+ vX_[733] = vX_[733] + jac[714];
+ vX_[962] = vX_[139] * vX_[736] + vX_[1079] * vX_[60] + vX_[790] * vX_[501] + vX_[962];
+ vX_[60] = vX_[159] * vX_[736] + vX_[139] * vX_[60] + vX_[177] * vX_[501] + vX_[732];
+ jac[715] = (vX_[728] - vX_[156] * vX_[634] - 2.1e-05 * (vX_[139] * vX_[733] + vX_[160] * vX_[1201] + vX_[869]) - -0.000102 * (vX_[159] * vX_[733] + vX_[139] * vX_[1201] + vX_[1518]) - vX_[154] * vX_[962] - vX_[164] * vX_[60]) / vX_[156];
+ vX_[634] = vX_[634] + jac[715];
+ jac[716] = (vX_[793] - 0.110125 * (vX_[142] * vX_[962] + vX_[1037] * vX_[60] + vX_[1034] * vX_[634] + vX_[752]) - 0.000881 * (vX_[140] * vX_[962] + vX_[142] * vX_[60] + vX_[141] * vX_[634] + vX_[24]) - 0.026181 * vX_[634]) / 0.026181;
+ vX_[9] = vX_[96] * jac[704] + vX_[26] * jac[703] + vX_[9];
+ vX_[747] = vX_[98] * jac[704] + vX_[96] * jac[703] + vX_[747];
+ vX_[634] = 0.207 * jac[704] + jac[705];
+ vX_[605] = vX_[834] * jac[704] + vX_[1569] * jac[703] + vX_[95] * jac[702] + vX_[1667] * jac[707] + vX_[96] * jac[706] + vX_[605];
+ jac[717] = (vX_[624] - vX_[92] * jac[702] - vX_[128] * vX_[9] - vX_[87] * vX_[747] - vX_[113] * vX_[634] - vX_[105] * (vX_[99] * jac[704] + vX_[97] * jac[703] + vX_[136] * jac[702] + vX_[96] * jac[707] + vX_[26] * jac[706] + vX_[426]) - vX_[90] * vX_[605]) / vX_[92];
+ vX_[624] = jac[702] + jac[717];
+ vX_[734] = vX_[746] * vX_[634] + vX_[835] * vX_[605] + vX_[789] * vX_[9] + vX_[734];
+ vX_[605] = vX_[613] * vX_[634] + vX_[13] * vX_[605] + vX_[67] * vX_[9] + vX_[691];
+ jac[718] = (vX_[54] - vX_[42] * vX_[9] - vX_[49] * (vX_[65] * vX_[624] + vX_[46] * vX_[747] + vX_[544]) - vX_[30] * (vX_[46] * vX_[624] + vX_[13] * vX_[747] + vX_[707]) - vX_[40] * vX_[734] - vX_[53] * vX_[605]) / vX_[42];
+ vX_[9] = vX_[9] + jac[718];
+ jac[719] = (vX_[536] - 0.1104774 * (vX_[15] * vX_[734] + vX_[791] * vX_[605] + vX_[766] * vX_[9] + vX_[729]) - 0.0004405 * (vX_[23] * vX_[734] + vX_[15] * vX_[605] + vX_[25] * vX_[9] + vX_[84]) - 0.026181 * vX_[9]) / 0.026181;
+ vX_[9] = vX_[1113] * 0.207 + vX_[96] * vX_[1106] - vX_[892] * vX_[99];
+ vX_[605] = vX_[96] * vX_[892];
+ vX_[734] = vX_[1148] * vX_[98] + vX_[98] * vX_[1148];
+ vX_[84] = vX_[613] * 0.207 + vX_[13] * vX_[834] + vX_[67] * vX_[96];
+ vX_[729] = vX_[625] * vX_[84] + vX_[96] * vX_[976];
+ vX_[536] = vX_[13] * vX_[98];
+ vX_[624] = vX_[1199] * vX_[99] + vX_[536] * vX_[909];
+ vX_[747] = vX_[46] * vX_[98];
+ vX_[707] = vX_[1199] * vX_[747] + vX_[536] * vX_[1661];
+ vX_[544] = vX_[1199] * vX_[96] + vX_[536] * vX_[625];
+ vX_[54] = vX_[746] * 0.207 + vX_[835] * vX_[834] + vX_[789] * vX_[96];
+ vX_[634] = vX_[23] * vX_[54] + vX_[15] * vX_[84] + vX_[25] * vX_[96];
+ vX_[691] = vX_[855] * vX_[634] + vX_[96] * vX_[960];
+ vX_[426] = -0.35 * vX_[747] + vX_[99];
+ vX_[60] = vX_[15] * vX_[536] + vX_[23] * vX_[747];
+ vX_[962] = vX_[621] * vX_[426] + vX_[60] * vX_[997];
+ vX_[793] = vX_[20] * vX_[536] + vX_[15] * vX_[747];
+ vX_[24] = vX_[621] * vX_[793] + vX_[60] * vX_[1211];
+ vX_[650] = 0 - vX_[650];
+ vX_[752] = -1000. * (vX_[662] * vX_[653] + vX_[689] * vX_[650]) * vX_[739];
+ vX_[733] = -1000. * (vX_[626] * vX_[653] + vX_[760] * vX_[650]) * vX_[739];
+ vX_[650] = -1000. * (vX_[759] * vX_[653] + vX_[659] * vX_[650]) * vX_[739];
+ vX_[653] = vX_[609] * vX_[752] + vX_[757] * vX_[733] + vX_[762] * vX_[650];
+ vX_[1201] = vX_[768] * vX_[752] + vX_[706] * vX_[733] + vX_[755] * vX_[650];
+ vX_[728] = vX_[587] * vX_[653] - vX_[765] * vX_[1201];
+ vX_[650] = vX_[618] * vX_[752] + vX_[608] * vX_[733] + vX_[767] * vX_[650];
+ vX_[733] = vX_[771] * vX_[1201] - vX_[587] * vX_[650];
+ vX_[752] = vX_[15] * vX_[54] + vX_[791] * vX_[84] + vX_[766] * vX_[96];
+ vX_[426] = vX_[1211] * vX_[426] + vX_[793] * vX_[997] - (vX_[855] * vX_[752] + vX_[96] * vX_[857]);
+ vX_[1518] = 0.1104774 * (vX_[691] - vX_[962]) + 0.025941 * vX_[24] - vX_[96] * vX_[728] - vX_[26] * vX_[733] - vX_[610] * vX_[650] - vX_[742] * vX_[653] - vX_[749] * vX_[1201] - -0.0004405 * vX_[426];
+ vX_[869] = 0 - vX_[1518];
+ vX_[736] = vX_[1211] * vX_[96] + vX_[793] * vX_[855];
+ vX_[501] = (- vX_[634]) * x_in[35];
+ vX_[732] = vX_[752] * x_in[35];
+ vX_[126] = vX_[793] * x_in[35];
+ vX_[100] = vX_[855] * vX_[96] + vX_[96] * vX_[855];
+ vX_[1110] = vX_[621] * vX_[60] + vX_[60] * vX_[621];
+ vX_[628] = -0.881 * (vX_[962] - vX_[691]) + 0.1104774 * vX_[24] + 8.81e-05 * vX_[736] + 0.414812462825713 * vX_[501] + -0.00185880198235362 * vX_[732] + -8.81e-05 * vX_[126] + (0.1104774 * vX_[869]) / 0.026181 - vX_[772] * vX_[650] - vX_[777] * vX_[653] - vX_[778] * vX_[1201] - -0.0004405 * (vX_[100] + vX_[1110]);
+ vX_[606] = vX_[621] * vX_[96] + vX_[60] * vX_[855];
+ vX_[769] = (- vX_[60]) * x_in[35];
+ vX_[784] = vX_[1211] * vX_[793] + vX_[793] * vX_[1211];
+ vX_[100] = 0.881 * vX_[426] + 8.81e-05 * vX_[606] + -0.0004405 * vX_[24] + -0.00185880198235362 * vX_[501] + 0.880992588508842 * vX_[732] + 8.81e-05 * vX_[769] + (0.0004405 * vX_[869]) / 0.026181 - vX_[781] * vX_[650] - vX_[783] * vX_[653] - vX_[786] * vX_[1201] - 0.1104774 * (vX_[100] + vX_[784]);
+ vX_[24] = vX_[1661] * vX_[99] + vX_[747] * vX_[909] - (vX_[625] * vX_[54] + vX_[96] * vX_[859]);
+ vX_[114] = vX_[1661] * vX_[96] + vX_[747] * vX_[625];
+ vX_[669] = vX_[1661] * vX_[747] + vX_[747] * vX_[1661];
+ vX_[32] = vX_[1199] * vX_[536] + vX_[536] * vX_[1199];
+ vX_[1518] = 0.47422804 * (vX_[729] - vX_[624]) + 0.081641 * vX_[707] + 2.1e-05 * vX_[544] + (0.026181 * vX_[869]) / 0.026181 + vX_[1518] + vX_[766] * vX_[628] + vX_[25] * vX_[100] - 0.0825825 * vX_[24] - -0.000102 * vX_[114] - -0.007418 * (vX_[669] - vX_[32]);
+ vX_[646] = 0 - vX_[1518];
+ vX_[82] = (- vX_[536]) * x_in[34];
+ vX_[724] = vX_[747] * x_in[34];
+ vX_[600] = (- vX_[84]) * x_in[34];
+ vX_[623] = vX_[54] * x_in[34];
+ vX_[775] = vX_[625] * vX_[96] + vX_[96] * vX_[625];
+ vX_[624] = -3.146 * (vX_[624] - vX_[729]) + 0.47422804 * vX_[707] + vX_[15] * vX_[628] + vX_[23] * vX_[100] + vX_[50] * vX_[82] + vX_[44] * vX_[724] + vX_[76] * vX_[600] + vX_[78] * vX_[623] + (vX_[40] * vX_[646]) / vX_[42] - 0.0825825 * (vX_[775] + vX_[32]);
+ vX_[24] = 3.146 * vX_[24] + 0.0825825 * vX_[707] + vX_[791] * vX_[628] + vX_[15] * vX_[100] + vX_[56] * vX_[82] + vX_[55] * vX_[724] + vX_[78] * vX_[600] + vX_[77] * vX_[623] + (vX_[53] * vX_[646]) / vX_[42] - 0.47422804 * (vX_[775] + vX_[669]);
+ vX_[100] = (- vX_[98]) * x_in[33];
+ vX_[628] = vX_[96] * x_in[33];
+ vX_[729] = (- vX_[834]) * x_in[33];
+ vX_[27] = vX_[99] * x_in[33];
+ vX_[636] = vX_[1148] * vX_[96] + vX_[98] * vX_[1113];
+ vX_[576] = vX_[892] * vX_[834];
+ vX_[1106] = vX_[1148] * 0.207 + vX_[98] * vX_[1106];
+ vX_[109] = vX_[98] * vX_[892];
+ vX_[120] = vX_[765] * vX_[650] - vX_[771] * vX_[653];
+ vX_[752] = vX_[621] * vX_[752] + vX_[60] * vX_[857] - (vX_[1211] * vX_[634] + vX_[793] * vX_[960]);
+ vX_[426] = 8.81e-05 * vX_[426] + 8.81e-05 * vX_[732] + 0.026409 * vX_[769] - vX_[772] * vX_[728] - vX_[776] * vX_[733] - vX_[778] * vX_[120] - vX_[800] * vX_[650] - vX_[807] * vX_[653] - vX_[812] * vX_[1201] - 0.1104774 * vX_[752] - 0.025713 * vX_[606];
+ vX_[120] = -0.0004405 * vX_[752] + 8.81e-05 * (vX_[962] - vX_[691]) + -0.000227999999999999 * vX_[736] + -8.81e-05 * vX_[501] + 0.000468 * vX_[126] - vX_[780] * vX_[728] - vX_[783] * vX_[733] - vX_[785] * vX_[120] - vX_[821] * vX_[650] - vX_[828] * vX_[653] - vX_[833] * vX_[1201];
+ vX_[752] = 0.881 * vX_[752] + 0.1104774 * vX_[606] + -0.0004405 * vX_[736] + -0.1104774 * vX_[769] + -0.0004405 * vX_[126] - vX_[96] * vX_[650] - vX_[26] * vX_[653] - 8.81e-05 * (vX_[784] + vX_[1110]);
+ vX_[54] = vX_[1199] * vX_[54] + vX_[536] * vX_[859] - (vX_[1661] * vX_[84] + vX_[747] * vX_[976]);
+ vX_[32] = -0.007418 * vX_[114] + -0.000102 * (vX_[775] - vX_[32]) + vX_[15] * vX_[426] + vX_[23] * vX_[120] + -0.35 * vX_[752] + vX_[72] * vX_[82] + vX_[64] * vX_[724] + vX_[50] * vX_[600] + vX_[56] * vX_[623] + (vX_[49] * vX_[646]) / vX_[42] - 0.47422804 * vX_[54] - 0.084376 * vX_[544] - 2.1e-05 * vX_[707];
+ vX_[120] = 0.002735 * vX_[114] + 0.0825825 * vX_[54] + -0.000102 * vX_[707] + vX_[20] * vX_[426] + vX_[15] * vX_[120] + vX_[64] * vX_[82] + vX_[71] * vX_[724] + vX_[44] * vX_[600] + vX_[55] * vX_[623] + (vX_[30] * vX_[646]) / vX_[42] - -0.007418 * vX_[544] - 2.1e-05 * (vX_[775] - vX_[669]);
+ vX_[54] = 0.47422804 * vX_[544] + 3.146 * vX_[54] + 0.0825825 * vX_[114] + vX_[752] + vX_[39] * vX_[82] + vX_[52] * vX_[724];
+ vX_[752] = vX_[1113] * vX_[96] + vX_[96] * vX_[1113];
+ vX_[114] = 0.009466 * vX_[636] + 0.1466472 * (vX_[576] - vX_[1106]) + -5.1e-05 * vX_[109] + vX_[65] * vX_[32] + vX_[46] * vX_[120] + 0.08 * vX_[54] - -0.022734 * vX_[605] - -3.6e-05 * (vX_[752] - vX_[734]);
+ vX_[544] = 0 - vX_[114];
+ vX_[426] = vX_[1148] * vX_[99] + vX_[98] * vX_[1210] - (vX_[1113] * vX_[834] + vX_[96] * vX_[1094]);
+ vX_[1518] = 0.5824264 * vX_[9] + -3.6e-05 * vX_[605] + -0.022734 * (0 - vX_[734]) + (vX_[42] * vX_[646]) / vX_[42] + vX_[1518] + vX_[789] * vX_[624] + vX_[67] * vX_[24] + vX_[493] * vX_[100] + vX_[548] * vX_[628] + vX_[129] * vX_[729] + vX_[118] * vX_[27] + (vX_[128] * vX_[544]) / vX_[92] - 0.1466472 * vX_[426] - -0.123672 * vX_[109] - -5.1e-05 * vX_[636];
+ vX_[120] = -0.133138 * vX_[605] + 0.5824264 * (vX_[1106] - vX_[576]) + -0.022734 * vX_[636] + vX_[46] * vX_[32] + vX_[13] * vX_[120] + vX_[548] * vX_[100] + vX_[91] * vX_[628] + vX_[119] * vX_[729] + vX_[94] * vX_[27] + (vX_[87] * vX_[544]) / vX_[92] - -3.6e-05 * vX_[109] - -5.1e-05 * (0 - vX_[752]);
+ vX_[426] = 3.44 * vX_[426] + 0.1466472 * vX_[109] + vX_[746] * vX_[624] + vX_[613] * vX_[24] + vX_[104] * vX_[100] + vX_[81] * vX_[628] + vX_[122] * vX_[729] + vX_[115] * vX_[27] + (vX_[113] * vX_[544]) / vX_[92] - 0.5824264 * (vX_[752] + vX_[734]);
+ vX_[54] = 0.1466472 * vX_[636] + -3.44 * (vX_[1106] - vX_[576]) + 0.5824264 * vX_[605] + vX_[54] + vX_[129] * vX_[100] + vX_[119] * vX_[628] + vX_[121] * vX_[729] + vX_[107] * vX_[27] + (vX_[105] * vX_[544]) / vX_[92];
+ vX_[752] = 3.44 * vX_[9] + 0.5824264 * vX_[109] + vX_[835] * vX_[624] + vX_[13] * vX_[24] + vX_[118] * vX_[100] + vX_[94] * vX_[628] + vX_[107] * vX_[729] + vX_[133] * vX_[27] + (vX_[90] * vX_[544]) / vX_[92] - 0.1466472 * vX_[752];
+ vX_[109] = vX_[660] * 0.207 + vX_[208] * vX_[5] - vX_[622] * vX_[211];
+ vX_[24] = vX_[208] * vX_[622];
+ vX_[624] = vX_[973] * vX_[138] + vX_[138] * vX_[973];
+ vX_[9] = -1 * vX_[211];
+ vX_[1106] = vX_[139] * vX_[138];
+ vX_[576] = vX_[712] * vX_[9] + vX_[1106] * vX_[6];
+ vX_[636] = vX_[159] * 0.207 + vX_[139] * vX_[998] + vX_[177] * vX_[208];
+ vX_[605] = -1 * vX_[208];
+ vX_[734] = vX_[711] * vX_[636] + vX_[605] * vX_[722];
+ vX_[32] = vX_[160] * vX_[138];
+ vX_[775] = vX_[712] * vX_[32] + vX_[1106] * vX_[959];
+ vX_[669] = -0.35 * vX_[32] + vX_[9];
+ vX_[707] = vX_[142] * vX_[1106] + vX_[140] * vX_[32];
+ vX_[747] = vX_[1188] * vX_[669] + vX_[707] * vX_[612];
+ vX_[536] = vX_[139] * 0.207 + vX_[1079] * vX_[998] + vX_[790] * vX_[208];
+ vX_[84] = vX_[140] * vX_[536] + vX_[142] * vX_[636] + vX_[141] * vX_[605];
+ vX_[784] = vX_[788] * vX_[84] + vX_[605] * vX_[1104];
+ vX_[769] = vX_[152] * vX_[1106] + vX_[142] * vX_[32];
+ vX_[606] = vX_[1188] * vX_[769] + vX_[707] * vX_[868];
+ vX_[1110] = (- vX_[84]) * x_in[32];
+ vX_[126] = vX_[142] * vX_[536] + vX_[1037] * vX_[636] + vX_[1034] * vX_[605];
+ vX_[736] = vX_[126] * x_in[32];
+ vX_[904] = 0 - vX_[904];
+ vX_[650] = -1000. * (vX_[916] * vX_[907] + vX_[942] * vX_[904]) * vX_[991];
+ vX_[653] = -1000. * (vX_[878] * vX_[907] + vX_[1010] * vX_[904]) * vX_[991];
+ vX_[904] = -1000. * (vX_[1009] * vX_[907] + vX_[913] * vX_[904]) * vX_[991];
+ vX_[907] = vX_[861] * vX_[650] + vX_[1007] * vX_[653] + vX_[1012] * vX_[904];
+ vX_[733] = vX_[1018] * vX_[650] + vX_[992] * vX_[653] + vX_[1005] * vX_[904];
+ vX_[728] = vX_[839] * vX_[907] - vX_[1015] * vX_[733];
+ vX_[904] = vX_[870] * vX_[650] + vX_[860] * vX_[653] + vX_[1017] * vX_[904];
+ vX_[653] = vX_[1021] * vX_[733] - vX_[839] * vX_[904];
+ vX_[669] = vX_[868] * vX_[669] + vX_[769] * vX_[612] - (vX_[788] * vX_[126] + vX_[605] * vX_[3]);
+ vX_[650] = 0.110125 * (vX_[784] - vX_[747]) + 0.025941 * vX_[606] - vX_[836] * vX_[728] - vX_[137] * vX_[653] - vX_[862] * vX_[904] - vX_[994] * vX_[907] - vX_[999] * vX_[733] - -0.000881 * vX_[669];
+ vX_[1201] = 0 - vX_[650];
+ vX_[962] = vX_[788] * vX_[605] + vX_[605] * vX_[788];
+ vX_[784] = -0.881 * (vX_[747] - vX_[784]) + 0.110125 * vX_[606] + 0.417781802643138 * vX_[1110] + -0.00370574557885489 * vX_[736] + (0.110125 * vX_[1201]) / 0.026181 - vX_[1006] * vX_[904] - vX_[1025] * vX_[907] - vX_[1026] * vX_[733] - -0.000881 * (vX_[962] + vX_[1188] * vX_[707] + vX_[707] * vX_[1188]);
+ vX_[962] = 0.881 * vX_[669] + -0.000881 * vX_[606] + -0.00370574557885489 * vX_[1110] + 0.880970354035369 * vX_[736] + (0.000881 * vX_[1201]) / 0.026181 - vX_[1028] * vX_[904] - vX_[1030] * vX_[907] - vX_[1032] * vX_[733] - 0.110125 * (vX_[962] + vX_[868] * vX_[769] + vX_[769] * vX_[868]);
+ vX_[669] = (- vX_[1106]) * x_in[31];
+ vX_[606] = vX_[32] * x_in[31];
+ vX_[747] = (- vX_[636]) * x_in[31];
+ vX_[691] = vX_[536] * x_in[31];
+ vX_[793] = vX_[712] * vX_[605] + vX_[1106] * vX_[711];
+ vX_[9] = vX_[959] * vX_[9] + vX_[32] * vX_[6] - (vX_[711] * vX_[536] + vX_[605] * vX_[709]);
+ vX_[60] = vX_[959] * vX_[605] + vX_[32] * vX_[711];
+ vX_[634] = vX_[959] * vX_[32] + vX_[32] * vX_[959];
+ vX_[774] = vX_[712] * vX_[1106] + vX_[1106] * vX_[712];
+ vX_[650] = 0.47422804 * (vX_[734] - vX_[576]) + 0.081641 * vX_[775] + 2.1e-05 * vX_[793] + (0.026181 * vX_[1201]) / 0.026181 + vX_[650] + vX_[1034] * vX_[784] + vX_[141] * vX_[962] - 0.0825825 * vX_[9] - -0.000102 * vX_[60] - -0.007418 * (vX_[634] - vX_[774]);
+ vX_[911] = 0 - vX_[650];
+ vX_[738] = vX_[711] * vX_[605] + vX_[605] * vX_[711];
+ vX_[734] = -3.146 * (vX_[576] - vX_[734]) + 0.47422804 * vX_[775] + vX_[142] * vX_[784] + vX_[140] * vX_[962] + vX_[161] * vX_[669] + vX_[158] * vX_[606] + vX_[187] * vX_[747] + vX_[189] * vX_[691] + (vX_[154] * vX_[911]) / vX_[156] - 0.0825825 * (vX_[738] + vX_[774]);
+ vX_[9] = 3.146 * vX_[9] + 0.0825825 * vX_[775] + vX_[1037] * vX_[784] + vX_[142] * vX_[962] + vX_[167] * vX_[669] + vX_[166] * vX_[606] + vX_[189] * vX_[747] + vX_[188] * vX_[691] + (vX_[164] * vX_[911]) / vX_[156] - 0.47422804 * (vX_[738] + vX_[634]);
+ vX_[962] = (- vX_[138]) * x_in[30];
+ vX_[784] = vX_[208] * x_in[30];
+ vX_[576] = (- vX_[998]) * x_in[30];
+ vX_[671] = vX_[211] * x_in[30];
+ vX_[727] = vX_[973] * vX_[208] + vX_[138] * vX_[660];
+ vX_[58] = vX_[622] * vX_[998];
+ vX_[5] = vX_[973] * 0.207 + vX_[138] * vX_[5];
+ vX_[106] = vX_[138] * vX_[622];
+ vX_[651] = (- vX_[707]) * x_in[32];
+ vX_[546] = vX_[1015] * vX_[904] - vX_[1021] * vX_[907];
+ vX_[126] = vX_[1188] * vX_[126] + vX_[707] * vX_[3] - (vX_[868] * vX_[84] + vX_[769] * vX_[1104]);
+ vX_[707] = vX_[1188] * vX_[605] + vX_[707] * vX_[788];
+ vX_[84] = 0.026409 * vX_[651] - vX_[1006] * vX_[728] - vX_[1024] * vX_[653] - vX_[1026] * vX_[546] - vX_[1045] * vX_[904] - vX_[1052] * vX_[907] - vX_[1057] * vX_[733] - 0.110125 * vX_[126] - 0.025713 * vX_[707];
+ vX_[605] = vX_[868] * vX_[605] + vX_[769] * vX_[788];
+ vX_[769] = vX_[769] * x_in[32];
+ vX_[546] = -0.000227999999999999 * vX_[605] + -0.000881 * vX_[126] + 0.000468 * vX_[769] - vX_[1028] * vX_[728] - vX_[1029] * vX_[653] - vX_[1060] * vX_[546] - vX_[1067] * vX_[904] - vX_[1074] * vX_[907] - vX_[1078] * vX_[733];
+ vX_[769] = 0.110125 * vX_[707] + 0.881 * vX_[126] + -0.000881 * vX_[605] + -0.110125 * vX_[651] + -0.000881 * vX_[769] - vX_[840] * vX_[904] - vX_[137] * vX_[907];
+ vX_[536] = vX_[712] * vX_[536] + vX_[1106] * vX_[709] - (vX_[959] * vX_[636] + vX_[32] * vX_[722]);
+ vX_[774] = -0.007418 * vX_[60] + -0.000102 * (vX_[738] - vX_[774]) + vX_[142] * vX_[84] + vX_[140] * vX_[546] + -0.35 * vX_[769] + vX_[183] * vX_[669] + vX_[175] * vX_[606] + vX_[161] * vX_[747] + vX_[167] * vX_[691] + (2.1e-05 * vX_[911]) / vX_[156] - 0.47422804 * vX_[536] - 0.084376 * vX_[793] - 2.1e-05 * vX_[775];
+ vX_[546] = 0.002735 * vX_[60] + 0.0825825 * vX_[536] + -0.000102 * vX_[775] + vX_[152] * vX_[84] + vX_[142] * vX_[546] + vX_[175] * vX_[669] + vX_[182] * vX_[606] + vX_[158] * vX_[747] + vX_[166] * vX_[691] + (-0.000102 * vX_[911]) / vX_[156] - -0.007418 * vX_[793] - 2.1e-05 * (vX_[738] - vX_[634]);
+ vX_[536] = 0.47422804 * vX_[793] + 3.146 * vX_[536] + 0.0825825 * vX_[60] + vX_[769] + vX_[153] * vX_[669] + vX_[163] * vX_[606];
+ vX_[769] = vX_[660] * vX_[208] + vX_[208] * vX_[660];
+ vX_[60] = 0.009466 * vX_[727] + 0.1466472 * (vX_[58] - vX_[5]) + -5.1e-05 * vX_[106] + vX_[139] * vX_[774] + vX_[159] * vX_[546] + -0.08 * vX_[536] - 0.022734 * vX_[24] - 3.6e-05 * (vX_[769] - vX_[624]);
+ vX_[793] = 0 - vX_[60];
+ vX_[84] = vX_[973] * vX_[211] + vX_[138] * vX_[1336] - (vX_[660] * vX_[998] + vX_[208] * vX_[657]);
+ vX_[650] = -0.5824264 * vX_[109] + 3.6e-05 * vX_[24] + 0.022734 * (0 - vX_[624]) + vX_[790] * vX_[734] + vX_[177] * vX_[9] + -1 * (vX_[650] + (vX_[156] * vX_[911]) / vX_[156]) + vX_[507] * vX_[962] + vX_[557] * vX_[784] + vX_[241] * vX_[576] + vX_[230] * vX_[671] + (vX_[240] * vX_[793]) / vX_[203] - 0.1466472 * vX_[84] - -0.123672 * vX_[106] - -5.1e-05 * vX_[727];
+ vX_[546] = -0.133138 * vX_[24] + -0.5824264 * (vX_[5] - vX_[58]) + 0.022734 * vX_[727] + vX_[160] * vX_[774] + vX_[139] * vX_[546] + vX_[557] * vX_[962] + vX_[202] * vX_[784] + vX_[231] * vX_[576] + vX_[205] * vX_[671] + (vX_[198] * vX_[793]) / vX_[203] - 3.6e-05 * vX_[106] - -5.1e-05 * (0 - vX_[769]);
+ vX_[84] = 3.44 * vX_[84] + 0.1466472 * vX_[106] + vX_[139] * vX_[734] + vX_[159] * vX_[9] + vX_[216] * vX_[962] + vX_[192] * vX_[784] + vX_[234] * vX_[576] + vX_[227] * vX_[671] + (vX_[225] * vX_[793]) / vX_[203] - -0.5824264 * (vX_[769] + vX_[624]);
+ vX_[536] = 0.1466472 * vX_[727] + -3.44 * (vX_[5] - vX_[58]) + -0.5824264 * vX_[24] + -1 * vX_[536] + vX_[241] * vX_[962] + vX_[231] * vX_[784] + vX_[233] * vX_[576] + vX_[219] * vX_[671] + (vX_[217] * vX_[793]) / vX_[203];
+ vX_[769] = 3.44 * vX_[109] + -0.5824264 * vX_[106] + vX_[1079] * vX_[734] + vX_[139] * vX_[9] + vX_[230] * vX_[962] + vX_[205] * vX_[784] + vX_[219] * vX_[576] + vX_[245] * vX_[671] + (vX_[201] * vX_[793]) / vX_[203] - 0.1466472 * vX_[769];
+ vX_[106] = vX_[1327] * 0.207 + vX_[328] * vX_[1349] - vX_[1441] * vX_[331];
+ vX_[9] = vX_[328] * vX_[1441];
+ vX_[734] = vX_[1198] * vX_[330] + vX_[330] * vX_[1198];
+ vX_[109] = vX_[698] * 0.207 + vX_[250] * vX_[1318] + vX_[299] * vX_[328];
+ vX_[5] = vX_[847] * vX_[109] + vX_[328] * vX_[842];
+ vX_[58] = vX_[250] * vX_[330];
+ vX_[727] = vX_[1190] * vX_[331] + vX_[58] * vX_[957];
+ vX_[24] = vX_[278] * vX_[330];
+ vX_[624] = vX_[1190] * vX_[24] + vX_[58] * vX_[1328];
+ vX_[774] = vX_[1190] * vX_[328] + vX_[58] * vX_[847];
+ vX_[738] = vX_[1229] * 0.207 + vX_[1319] * vX_[1318] + vX_[1274] * vX_[328];
+ vX_[634] = vX_[253] * vX_[738] + vX_[251] * vX_[109] + vX_[256] * vX_[328];
+ vX_[775] = vX_[953] * vX_[634] + vX_[328] * vX_[1434];
+ vX_[32] = -0.35 * vX_[24] + vX_[331];
+ vX_[636] = vX_[251] * vX_[58] + vX_[253] * vX_[24];
+ vX_[1106] = vX_[700] * vX_[32] + vX_[636] * vX_[863];
+ vX_[605] = vX_[254] * vX_[58] + vX_[251] * vX_[24];
+ vX_[707] = vX_[700] * vX_[605] + vX_[636] * vX_[1084];
+ vX_[1141] = 0 - vX_[1141];
+ vX_[126] = -1000. * (vX_[1153] * vX_[1144] + vX_[1179] * vX_[1141]) * vX_[1228];
+ vX_[651] = -1000. * (vX_[1117] * vX_[1144] + vX_[1246] * vX_[1141]) * vX_[1228];
+ vX_[1141] = -1000. * (vX_[1245] * vX_[1144] + vX_[1150] * vX_[1141]) * vX_[1228];
+ vX_[1144] = vX_[1103] * vX_[126] + vX_[1243] * vX_[651] + vX_[1248] * vX_[1141];
+ vX_[904] = vX_[1254] * vX_[126] + vX_[1232] * vX_[651] + vX_[1241] * vX_[1141];
+ vX_[907] = vX_[1081] * vX_[1144] - vX_[1251] * vX_[904];
+ vX_[1141] = vX_[740] * vX_[126] + vX_[1102] * vX_[651] + vX_[1253] * vX_[1141];
+ vX_[651] = vX_[1257] * vX_[904] - vX_[1081] * vX_[1141];
+ vX_[126] = vX_[251] * vX_[738] + vX_[1276] * vX_[109] + vX_[1252] * vX_[328];
+ vX_[32] = vX_[1084] * vX_[32] + vX_[605] * vX_[863] - (vX_[953] * vX_[126] + vX_[328] * vX_[1516]);
+ vX_[653] = 0.1104774 * (vX_[775] - vX_[1106]) + 0.025941 * vX_[707] - vX_[328] * vX_[907] - vX_[249] * vX_[651] - vX_[1105] * vX_[1141] - vX_[1230] * vX_[1144] - vX_[1235] * vX_[904] - 0.0004405 * vX_[32];
+ vX_[728] = 0 - vX_[653];
+ vX_[733] = vX_[1084] * vX_[328] + vX_[605] * vX_[953];
+ vX_[663] = (- vX_[634]) * x_in[29];
+ vX_[631] = vX_[126] * x_in[29];
+ vX_[29] = vX_[605] * x_in[29];
+ vX_[974] = vX_[953] * vX_[328] + vX_[328] * vX_[953];
+ vX_[697] = vX_[700] * vX_[636] + vX_[636] * vX_[700];
+ vX_[471] = -0.881 * (vX_[1106] - vX_[775]) + 0.1104774 * vX_[707] + -8.81e-05 * vX_[733] + 0.414812462825713 * vX_[663] + 0.00185880198235362 * vX_[631] + 8.81e-05 * vX_[29] + (0.1104774 * vX_[728]) / 0.026181 - vX_[1258] * vX_[1141] - vX_[1263] * vX_[1144] - vX_[1265] * vX_[904] - 0.0004405 * (vX_[974] + vX_[697]);
+ vX_[1677] = vX_[700] * vX_[328] + vX_[636] * vX_[953];
+ vX_[35] = (- vX_[636]) * x_in[29];
+ vX_[725] = vX_[1084] * vX_[605] + vX_[605] * vX_[1084];
+ vX_[974] = 0.881 * vX_[32] + -8.81e-05 * vX_[1677] + 0.0004405 * vX_[707] + 0.00185880198235362 * vX_[663] + 0.880992588508842 * vX_[631] + -8.81e-05 * vX_[35] + (-0.0004405 * vX_[728]) / 0.026181 - vX_[1267] * vX_[1141] - vX_[1269] * vX_[1144] - vX_[1271] * vX_[904] - 0.1104774 * (vX_[974] + vX_[725]);
+ vX_[707] = vX_[1328] * vX_[331] + vX_[24] * vX_[957] - (vX_[847] * vX_[738] + vX_[328] * vX_[846]);
+ vX_[79] = vX_[1328] * vX_[328] + vX_[24] * vX_[847];
+ vX_[655] = vX_[1328] * vX_[24] + vX_[24] * vX_[1328];
+ vX_[639] = vX_[1190] * vX_[58] + vX_[58] * vX_[1190];
+ vX_[653] = 0.47422804 * (vX_[5] - vX_[727]) + 0.081641 * vX_[624] + 2.1e-05 * vX_[774] + (0.026181 * vX_[728]) / 0.026181 + vX_[653] + vX_[1252] * vX_[471] + vX_[256] * vX_[974] - -0.0825825 * vX_[707] - 0.000102 * vX_[79] - 0.007418 * (vX_[655] - vX_[639]);
+ vX_[720] = 0 - vX_[653];
+ vX_[1632] = (- vX_[58]) * x_in[28];
+ vX_[599] = vX_[24] * x_in[28];
+ vX_[61] = (- vX_[109]) * x_in[28];
+ vX_[685] = vX_[738] * x_in[28];
+ vX_[686] = vX_[847] * vX_[328] + vX_[328] * vX_[847];
+ vX_[727] = -3.146 * (vX_[727] - vX_[5]) + 0.47422804 * vX_[624] + vX_[251] * vX_[471] + vX_[253] * vX_[974] + vX_[282] * vX_[1632] + vX_[276] * vX_[599] + vX_[308] * vX_[61] + vX_[310] * vX_[685] + (vX_[272] * vX_[720]) / vX_[274] - -0.0825825 * (vX_[686] + vX_[639]);
+ vX_[707] = 3.146 * vX_[707] + -0.0825825 * vX_[624] + vX_[1276] * vX_[471] + vX_[251] * vX_[974] + vX_[288] * vX_[1632] + vX_[287] * vX_[599] + vX_[310] * vX_[61] + vX_[309] * vX_[685] + (vX_[285] * vX_[720]) / vX_[274] - 0.47422804 * (vX_[686] + vX_[655]);
+ vX_[974] = (- vX_[330]) * x_in[27];
+ vX_[471] = vX_[328] * x_in[27];
+ vX_[5] = (- vX_[1318]) * x_in[27];
+ vX_[640] = vX_[331] * x_in[27];
+ vX_[1338] = vX_[1198] * vX_[328] + vX_[330] * vX_[1327];
+ vX_[492] = vX_[1441] * vX_[1318];
+ vX_[1349] = vX_[1198] * 0.207 + vX_[330] * vX_[1349];
+ vX_[964] = vX_[330] * vX_[1441];
+ vX_[702] = vX_[1251] * vX_[1141] - vX_[1257] * vX_[1144];
+ vX_[126] = vX_[700] * vX_[126] + vX_[636] * vX_[1516] - (vX_[1084] * vX_[634] + vX_[605] * vX_[1434]);
+ vX_[32] = -8.81e-05 * vX_[32] + -8.81e-05 * vX_[631] + 0.026409 * vX_[35] - vX_[1258] * vX_[907] - vX_[1262] * vX_[651] - vX_[1264] * vX_[702] - vX_[1285] * vX_[1141] - vX_[1292] * vX_[1144] - vX_[1297] * vX_[904] - 0.1104774 * vX_[126] - 0.025713 * vX_[1677];
+ vX_[702] = 0.0004405 * vX_[126] + -8.81e-05 * (vX_[1106] - vX_[775]) + -0.000227999999999999 * vX_[733] + 8.81e-05 * vX_[663] + 0.000468 * vX_[29] - vX_[1267] * vX_[907] - vX_[1269] * vX_[651] - vX_[1271] * vX_[702] - vX_[1305] * vX_[1141] - vX_[1312] * vX_[1144] - vX_[1317] * vX_[904];
+ vX_[126] = 0.881 * vX_[126] + 0.1104774 * vX_[1677] + 0.0004405 * vX_[733] + -0.1104774 * vX_[35] + 0.0004405 * vX_[29] - vX_[328] * vX_[1141] - vX_[249] * vX_[1144] - -8.81e-05 * (vX_[725] + vX_[697]);
+ vX_[738] = vX_[1190] * vX_[738] + vX_[58] * vX_[846] - (vX_[1328] * vX_[109] + vX_[24] * vX_[842]);
+ vX_[639] = 0.007418 * vX_[79] + 0.000102 * (vX_[686] - vX_[639]) + vX_[251] * vX_[32] + vX_[253] * vX_[702] + -0.35 * vX_[126] + vX_[304] * vX_[1632] + vX_[296] * vX_[599] + vX_[282] * vX_[61] + vX_[288] * vX_[685] + (vX_[281] * vX_[720]) / vX_[274] - 0.47422804 * vX_[738] - 0.084376 * vX_[774] - 2.1e-05 * vX_[624];
+ vX_[702] = 0.002735 * vX_[79] + -0.0825825 * vX_[738] + 0.000102 * vX_[624] + vX_[254] * vX_[32] + vX_[251] * vX_[702] + vX_[296] * vX_[1632] + vX_[303] * vX_[599] + vX_[276] * vX_[61] + vX_[287] * vX_[685] + (vX_[262] * vX_[720]) / vX_[274] - 0.007418 * vX_[774] - 2.1e-05 * (vX_[686] - vX_[655]);
+ vX_[738] = 0.47422804 * vX_[774] + 3.146 * vX_[738] + -0.0825825 * vX_[79] + vX_[126] + vX_[271] * vX_[1632] + vX_[284] * vX_[599];
+ vX_[126] = vX_[1327] * vX_[328] + vX_[328] * vX_[1327];
+ vX_[79] = 0.009466 * vX_[1338] + 0.1466472 * (vX_[492] - vX_[1349]) + -5.1e-05 * vX_[964] + vX_[297] * vX_[639] + vX_[278] * vX_[702] + 0.08 * vX_[738] - 0.022734 * vX_[9] - 3.6e-05 * (vX_[126] - vX_[734]);
+ vX_[774] = 0 - vX_[79];
+ vX_[32] = vX_[1198] * vX_[331] + vX_[330] * vX_[595] - (vX_[1327] * vX_[1318] + vX_[328] * vX_[1089]);
+ vX_[653] = -0.5824264 * vX_[106] + 3.6e-05 * vX_[9] + 0.022734 * (0 - vX_[734]) + (vX_[274] * vX_[720]) / vX_[274] + vX_[653] + vX_[1274] * vX_[727] + vX_[299] * vX_[707] + vX_[521] * vX_[974] + vX_[566] * vX_[471] + vX_[361] * vX_[5] + vX_[350] * vX_[640] + (vX_[360] * vX_[774]) / vX_[324] - 0.1466472 * vX_[32] - -0.123672 * vX_[964] - -5.1e-05 * vX_[1338];
+ vX_[702] = -0.133138 * vX_[9] + -0.5824264 * (vX_[1349] - vX_[492]) + 0.022734 * vX_[1338] + vX_[278] * vX_[639] + vX_[250] * vX_[702] + vX_[566] * vX_[974] + vX_[323] * vX_[471] + vX_[351] * vX_[5] + vX_[326] * vX_[640] + (vX_[319] * vX_[774]) / vX_[324] - 3.6e-05 * vX_[964] - -5.1e-05 * (0 - vX_[126]);
+ vX_[32] = 3.44 * vX_[32] + 0.1466472 * vX_[964] + vX_[1229] * vX_[727] + vX_[698] * vX_[707] + vX_[336] * vX_[974] + vX_[313] * vX_[471] + vX_[354] * vX_[5] + vX_[347] * vX_[640] + (vX_[345] * vX_[774]) / vX_[324] - -0.5824264 * (vX_[126] + vX_[734]);
+ vX_[738] = 0.1466472 * vX_[1338] + -3.44 * (vX_[1349] - vX_[492]) + -0.5824264 * vX_[9] + vX_[738] + vX_[361] * vX_[974] + vX_[351] * vX_[471] + vX_[353] * vX_[5] + vX_[339] * vX_[640] + (vX_[337] * vX_[774]) / vX_[324];
+ vX_[126] = 3.44 * vX_[106] + -0.5824264 * vX_[964] + vX_[1319] * vX_[727] + vX_[250] * vX_[707] + vX_[350] * vX_[974] + vX_[326] * vX_[471] + vX_[339] * vX_[5] + vX_[365] * vX_[640] + (vX_[322] * vX_[774]) / vX_[324] - 0.1466472 * vX_[126];
+ vX_[964] = vX_[597] * 0.207 + vX_[450] * vX_[1116] - vX_[1272] * vX_[453];
+ vX_[707] = vX_[450] * vX_[1272];
+ vX_[727] = vX_[1331] * vX_[370] + vX_[370] * vX_[1331];
+ vX_[106] = -1 * vX_[453];
+ vX_[1349] = vX_[371] * vX_[370];
+ vX_[492] = vX_[877] * vX_[106] + vX_[1349] * vX_[1096];
+ vX_[1338] = vX_[398] * 0.207 + vX_[371] * vX_[1481] + vX_[419] * vX_[450];
+ vX_[9] = -1 * vX_[450];
+ vX_[734] = vX_[849] * vX_[1338] + vX_[9] * vX_[1340];
+ vX_[639] = vX_[399] * vX_[370];
+ vX_[686] = vX_[877] * vX_[639] + vX_[1349] * vX_[866];
+ vX_[655] = -0.35 * vX_[639] + vX_[106];
+ vX_[624] = vX_[372] * vX_[1349] + vX_[374] * vX_[639];
+ vX_[24] = vX_[1147] * vX_[655] + vX_[624] * vX_[845];
+ vX_[58] = vX_[371] * 0.207 + vX_[1562] * vX_[1481] + vX_[1275] * vX_[450];
+ vX_[109] = vX_[374] * vX_[58] + vX_[372] * vX_[1338] + vX_[377] * vX_[9];
+ vX_[725] = vX_[593] * vX_[109] + vX_[9] * vX_[1466];
+ vX_[35] = vX_[375] * vX_[1349] + vX_[372] * vX_[639];
+ vX_[1677] = vX_[1147] * vX_[35] + vX_[624] * vX_[1392];
+ vX_[697] = vX_[1392] * vX_[9] + vX_[35] * vX_[593];
+ vX_[29] = (- vX_[109]) * x_in[26];
+ vX_[733] = vX_[372] * vX_[58] + vX_[1520] * vX_[1338] + vX_[1517] * vX_[9];
+ vX_[1141] = vX_[733] * x_in[26];
+ vX_[1144] = vX_[35] * x_in[26];
+ vX_[1387] = 0 - vX_[1387];
+ vX_[651] = -1000. * (vX_[1399] * vX_[1390] + vX_[1425] * vX_[1387]) * vX_[1474];
+ vX_[907] = -1000. * (vX_[1364] * vX_[1390] + vX_[1493] * vX_[1387]) * vX_[1474];
+ vX_[1387] = -1000. * (vX_[1492] * vX_[1390] + vX_[1396] * vX_[1387]) * vX_[1474];
+ vX_[1390] = vX_[1347] * vX_[651] + vX_[1490] * vX_[907] + vX_[1495] * vX_[1387];
+ vX_[904] = vX_[1501] * vX_[651] + vX_[1475] * vX_[907] + vX_[1488] * vX_[1387];
+ vX_[1106] = vX_[1325] * vX_[1390] - vX_[1498] * vX_[904];
+ vX_[1387] = vX_[1356] * vX_[651] + vX_[1346] * vX_[907] + vX_[1500] * vX_[1387];
+ vX_[907] = vX_[1504] * vX_[904] - vX_[1325] * vX_[1387];
+ vX_[655] = vX_[1392] * vX_[655] + vX_[35] * vX_[845] - (vX_[593] * vX_[733] + vX_[9] * vX_[1487]);
+ vX_[651] = 0.1104774 * (vX_[725] - vX_[24]) + 0.025941 * vX_[1677] - vX_[1321] * vX_[1106] - vX_[369] * vX_[907] - vX_[1348] * vX_[1387] - vX_[1477] * vX_[1390] - vX_[1482] * vX_[904] - 0.0004405 * vX_[655];
+ vX_[775] = 0 - vX_[651];
+ vX_[605] = vX_[593] * vX_[9] + vX_[9] * vX_[593];
+ vX_[636] = vX_[1147] * vX_[624] + vX_[624] * vX_[1147];
+ vX_[634] = -0.881 * (vX_[24] - vX_[725]) + 0.1104774 * vX_[1677] + -8.81e-05 * vX_[697] + 0.414812462825713 * vX_[29] + 0.00185880198235362 * vX_[1141] + 8.81e-05 * vX_[1144] + (0.1104774 * vX_[775]) / 0.026181 - vX_[1489] * vX_[1387] - vX_[1507] * vX_[1390] - vX_[1508] * vX_[904] - 0.0004405 * (vX_[605] + vX_[636]);
+ vX_[690] = vX_[1147] * vX_[9] + vX_[624] * vX_[593];
+ vX_[677] = (- vX_[624]) * x_in[26];
+ vX_[675] = vX_[1392] * vX_[35] + vX_[35] * vX_[1392];
+ vX_[605] = 0.881 * vX_[655] + -8.81e-05 * vX_[690] + 0.0004405 * vX_[1677] + 0.00185880198235362 * vX_[29] + 0.880992588508842 * vX_[1141] + -8.81e-05 * vX_[677] + (-0.0004405 * vX_[775]) / 0.026181 - vX_[1511] * vX_[1387] - vX_[1512] * vX_[1390] - vX_[1515] * vX_[904] - 0.1104774 * (vX_[605] + vX_[675]);
+ vX_[1677] = (- vX_[1349]) * x_in[25];
+ vX_[681] = vX_[639] * x_in[25];
+ vX_[59] = (- vX_[1338]) * x_in[25];
+ vX_[66] = vX_[58] * x_in[25];
+ vX_[1353] = vX_[877] * vX_[9] + vX_[1349] * vX_[849];
+ vX_[106] = vX_[866] * vX_[106] + vX_[639] * vX_[1096] - (vX_[849] * vX_[58] + vX_[9] * vX_[1455]);
+ vX_[489] = vX_[866] * vX_[9] + vX_[639] * vX_[849];
+ vX_[1691] = vX_[866] * vX_[639] + vX_[639] * vX_[866];
+ vX_[648] = vX_[877] * vX_[1349] + vX_[1349] * vX_[877];
+ vX_[651] = 0.47422804 * (vX_[734] - vX_[492]) + 0.081641 * vX_[686] + 2.1e-05 * vX_[1353] + (0.026181 * vX_[775]) / 0.026181 + vX_[651] + vX_[1517] * vX_[634] + vX_[377] * vX_[605] - -0.0825825 * vX_[106] - 0.000102 * vX_[489] - 0.007418 * (vX_[1691] - vX_[648]);
+ vX_[93] = 0 - vX_[651];
+ vX_[9] = vX_[849] * vX_[9] + vX_[9] * vX_[849];
+ vX_[734] = -3.146 * (vX_[492] - vX_[734]) + 0.47422804 * vX_[686] + vX_[372] * vX_[634] + vX_[374] * vX_[605] + vX_[403] * vX_[1677] + vX_[397] * vX_[681] + vX_[429] * vX_[59] + vX_[431] * vX_[66] + (vX_[393] * vX_[93]) / vX_[395] - -0.0825825 * (vX_[9] + vX_[648]);
+ vX_[106] = 3.146 * vX_[106] + -0.0825825 * vX_[686] + vX_[1520] * vX_[634] + vX_[372] * vX_[605] + vX_[409] * vX_[1677] + vX_[408] * vX_[681] + vX_[431] * vX_[59] + vX_[430] * vX_[66] + (vX_[406] * vX_[93]) / vX_[395] - 0.47422804 * (vX_[9] + vX_[1691]);
+ vX_[605] = (- vX_[370]) * x_in[24];
+ vX_[634] = vX_[450] * x_in[24];
+ vX_[492] = (- vX_[1481]) * x_in[24];
+ vX_[876] = vX_[453] * x_in[24];
+ vX_[737] = vX_[1331] * vX_[450] + vX_[370] * vX_[597];
+ vX_[696] = vX_[1272] * vX_[1481];
+ vX_[1116] = vX_[1331] * 0.207 + vX_[370] * vX_[1116];
+ vX_[36] = vX_[370] * vX_[1272];
+ vX_[844] = vX_[1498] * vX_[1387] - vX_[1504] * vX_[1390];
+ vX_[733] = vX_[1147] * vX_[733] + vX_[624] * vX_[1487] - (vX_[1392] * vX_[109] + vX_[35] * vX_[1466]);
+ vX_[655] = -8.81e-05 * vX_[655] + -8.81e-05 * vX_[1141] + 0.026409 * vX_[677] - vX_[1521] * vX_[1106] - vX_[1507] * vX_[907] - vX_[1508] * vX_[844] - vX_[1529] * vX_[1387] - vX_[1536] * vX_[1390] - vX_[1541] * vX_[904] - 0.1104774 * vX_[733] - 0.025713 * vX_[690];
+ vX_[844] = 0.0004405 * vX_[733] + -8.81e-05 * (vX_[24] - vX_[725]) + -0.000227999999999999 * vX_[697] + 8.81e-05 * vX_[29] + 0.000468 * vX_[1144] - vX_[1510] * vX_[1106] - vX_[1512] * vX_[907] - vX_[1514] * vX_[844] - vX_[1550] * vX_[1387] - vX_[1557] * vX_[1390] - vX_[1561] * vX_[904];
+ vX_[733] = 0.881 * vX_[733] + 0.1104774 * vX_[690] + 0.0004405 * vX_[697] + -0.1104774 * vX_[677] + 0.0004405 * vX_[1144] - vX_[1326] * vX_[1387] - vX_[369] * vX_[1390] - -8.81e-05 * (vX_[675] + vX_[636]);
+ vX_[58] = vX_[877] * vX_[58] + vX_[1349] * vX_[1455] - (vX_[866] * vX_[1338] + vX_[639] * vX_[1340]);
+ vX_[648] = 0.007418 * vX_[489] + 0.000102 * (vX_[9] - vX_[648]) + vX_[372] * vX_[655] + vX_[374] * vX_[844] + -0.35 * vX_[733] + vX_[425] * vX_[1677] + vX_[417] * vX_[681] + vX_[403] * vX_[59] + vX_[409] * vX_[66] + (vX_[402] * vX_[93]) / vX_[395] - 0.47422804 * vX_[58] - 0.084376 * vX_[1353] - 2.1e-05 * vX_[686];
+ vX_[844] = 0.002735 * vX_[489] + -0.0825825 * vX_[58] + 0.000102 * vX_[686] + vX_[375] * vX_[655] + vX_[372] * vX_[844] + vX_[417] * vX_[1677] + vX_[424] * vX_[681] + vX_[397] * vX_[59] + vX_[408] * vX_[66] + (vX_[383] * vX_[93]) / vX_[395] - 0.007418 * vX_[1353] - 2.1e-05 * (vX_[9] - vX_[1691]);
+ vX_[58] = 0.47422804 * vX_[1353] + 3.146 * vX_[58] + -0.0825825 * vX_[489] + vX_[733] + vX_[392] * vX_[1677] + vX_[405] * vX_[681];
+ vX_[733] = vX_[597] * vX_[450] + vX_[450] * vX_[597];
+ vX_[489] = 0.009466 * vX_[737] + 0.1466472 * (vX_[696] - vX_[1116]) + -5.1e-05 * vX_[36] + vX_[371] * vX_[648] + vX_[398] * vX_[844] + -0.08 * vX_[58] - -0.022734 * vX_[707] - -3.6e-05 * (vX_[733] - vX_[727]);
+ vX_[1353] = 0 - vX_[489];
+ vX_[655] = vX_[1331] * vX_[453] + vX_[370] * vX_[1231] - (vX_[597] * vX_[1481] + vX_[450] * vX_[1107]);
+ vX_[651] = 0.5824264 * vX_[964] + -3.6e-05 * vX_[707] + -0.022734 * (0 - vX_[727]) + vX_[1275] * vX_[734] + vX_[419] * vX_[106] + -1 * (vX_[651] + (vX_[395] * vX_[93]) / vX_[395]) + vX_[535] * vX_[605] + vX_[575] * vX_[634] + vX_[483] * vX_[492] + vX_[472] * vX_[876] + (vX_[482] * vX_[1353]) / vX_[445] - 0.1466472 * vX_[655] - -0.123672 * vX_[36] - -5.1e-05 * vX_[737];
+ vX_[844] = -0.133138 * vX_[707] + 0.5824264 * (vX_[1116] - vX_[696]) + -0.022734 * vX_[737] + vX_[399] * vX_[648] + vX_[371] * vX_[844] + vX_[575] * vX_[605] + vX_[444] * vX_[634] + vX_[473] * vX_[492] + vX_[447] * vX_[876] + (vX_[440] * vX_[1353]) / vX_[445] - -3.6e-05 * vX_[36] - -5.1e-05 * (0 - vX_[733]);
+ vX_[655] = 3.44 * vX_[655] + 0.1466472 * vX_[36] + vX_[371] * vX_[734] + vX_[398] * vX_[106] + vX_[458] * vX_[605] + vX_[434] * vX_[634] + vX_[476] * vX_[492] + vX_[469] * vX_[876] + (vX_[467] * vX_[1353]) / vX_[445] - 0.5824264 * (vX_[733] + vX_[727]);
+ vX_[58] = 0.1466472 * vX_[737] + -3.44 * (vX_[1116] - vX_[696]) + 0.5824264 * vX_[707] + -1 * vX_[58] + vX_[483] * vX_[605] + vX_[473] * vX_[634] + vX_[475] * vX_[492] + vX_[461] * vX_[876] + (vX_[459] * vX_[1353]) / vX_[445];
+ vX_[733] = 3.44 * vX_[964] + 0.5824264 * vX_[36] + vX_[1562] * vX_[734] + vX_[371] * vX_[106] + vX_[472] * vX_[605] + vX_[447] * vX_[634] + vX_[461] * vX_[492] + vX_[487] * vX_[876] + (vX_[443] * vX_[1353]) / vX_[445] - 0.1466472 * vX_[733];
+ vX_[36] = 0 - x_in[22];
+ vX_[106] = x_in[20] + x_in[20];
+ vX_[489] = (2.0678571 * (0 - x_in[21]) + 0.473273 * x_in[19] + (vX_[92] * vX_[544]) / vX_[92] + vX_[114] + vX_[136] * vX_[54] + vX_[95] * vX_[752] + vX_[248] * vX_[536] + vX_[206] * vX_[769] + -1 * (vX_[60] + (vX_[203] * vX_[793]) / vX_[203]) + (vX_[324] * vX_[774]) / vX_[324] + vX_[79] + vX_[368] * vX_[738] + vX_[327] * vX_[126] + vX_[1573] * vX_[58] + vX_[448] * vX_[733] + -1 * (vX_[489] + (vX_[445] * vX_[1353]) / vX_[445]) - -0.00571 * x_in[18] - 0.012668 * vX_[106]) / vX_[583];
+ vX_[79] = (2.0678571 * vX_[36] + -0.00571 * x_in[19] + 0.190812 * vX_[106] + vX_[26] * vX_[1518] + vX_[96] * vX_[120] + vX_[97] * vX_[54] + vX_[1569] * vX_[752] + vX_[138] * vX_[650] + vX_[209] * vX_[546] + vX_[210] * vX_[536] + vX_[1570] * vX_[769] + vX_[249] * vX_[653] + vX_[328] * vX_[702] + vX_[329] * vX_[738] + vX_[1571] * vX_[126] + vX_[370] * vX_[651] + vX_[451] * vX_[844] + vX_[452] * vX_[58] + vX_[1572] * vX_[733] - 4.847485 * x_in[18] - vX_[1566] * vX_[489]) / vX_[580];
+ vX_[844] = (-1.1915559 * x_in[21] + 0.012668 * x_in[18] + vX_[96] * vX_[1518] + vX_[98] * vX_[120] + 0.207 * vX_[426] + vX_[99] * vX_[54] + vX_[834] * vX_[752] + vX_[208] * vX_[650] + vX_[138] * vX_[546] + 0.207 * vX_[84] + vX_[211] * vX_[536] + vX_[998] * vX_[769] + vX_[328] * vX_[653] + vX_[330] * vX_[702] + 0.207 * vX_[32] + vX_[331] * vX_[738] + vX_[1318] * vX_[126] + vX_[450] * vX_[651] + vX_[370] * vX_[844] + 0.207 * vX_[655] + vX_[453] * vX_[58] + vX_[1481] * vX_[733] - -0.0053433 * vX_[36] - 0.190812 * x_in[19] - vX_[1568] * vX_[79] - vX_[490] * vX_[489]) / vX_[582];
+ vX_[36] = (53.433 * vX_[36] + 2.0678571 * x_in[18] + vX_[426] + -1 * vX_[84] + vX_[32] + -1 * vX_[655] - -1.1915559 * vX_[106] - vX_[1610] * vX_[79] - vX_[1630] * vX_[489] - vX_[1627] * vX_[844]) / vX_[1657];
+ vX_[106] = (-53.433 * (0 - x_in[21]) + 2.0678571 * x_in[19] + vX_[26] * vX_[54] + vX_[96] * vX_[752] + vX_[1615] * vX_[536] + vX_[1616] * vX_[769] + vX_[249] * vX_[738] + vX_[328] * vX_[126] + vX_[1617] * vX_[58] + vX_[1618] * vX_[733] - -0.0053433 * vX_[106] - vX_[1587] * vX_[79] - vX_[1611] * vX_[489] - vX_[1575] * vX_[844] - vX_[1629] * vX_[36]) / vX_[1654];
+ vX_[733] = (-1.1915559 * x_in[18] + -0.0053433 * x_in[19] + vX_[96] * vX_[54] + vX_[1667] * vX_[752] + vX_[208] * vX_[536] + vX_[1668] * vX_[769] + vX_[328] * vX_[738] + vX_[1669] * vX_[126] + vX_[450] * vX_[58] + vX_[1670] * vX_[733] - vX_[748] * vX_[79] - vX_[1626] * vX_[489] - vX_[484] * vX_[844] - vX_[1664] * vX_[36] - vX_[1584] * vX_[106]) / vX_[1656];
+ jac[743] = - vX_[733];
+ vX_[106] = vX_[106] - vX_[1666] * vX_[733];
+ jac[742] = - vX_[106];
+ vX_[36] = vX_[36] - vX_[1665] * vX_[733] - vX_[1599] * vX_[106];
+ jac[741] = - vX_[36];
+ vX_[844] = vX_[844] - vX_[1614] * vX_[106] - vX_[1628] * vX_[36] - vX_[1660] * vX_[733];
+ jac[740] = - vX_[844];
+ vX_[79] = vX_[79] - vX_[1619] * vX_[36] - vX_[1565] * vX_[844] - vX_[1613] * vX_[106] - vX_[1659] * vX_[733];
+ jac[738] = vX_[584] * vX_[844] + vX_[1567] * vX_[79] + vX_[1593] * vX_[36] + vX_[1612] * vX_[106] + vX_[1658] * vX_[733] - vX_[489];
+ jac[739] = - vX_[79];
+ vX_[79] = -1 * jac[738];
+ vX_[605] = vX_[450] * jac[740] + vX_[370] * jac[739] + vX_[605];
+ vX_[634] = vX_[370] * jac[740] + vX_[451] * jac[739] + vX_[634];
+ vX_[844] = -1 * jac[741];
+ vX_[36] = 0.207 * jac[740] + vX_[844];
+ vX_[876] = vX_[1481] * jac[740] + vX_[1572] * jac[739] + vX_[448] * jac[738] + vX_[1670] * jac[743] + vX_[1618] * jac[742] + vX_[876];
+ jac[744] = (vX_[1353] - vX_[445] * vX_[79] - vX_[482] * vX_[605] - vX_[440] * vX_[634] - vX_[467] * vX_[36] - vX_[459] * (vX_[453] * jac[740] + vX_[452] * jac[739] + vX_[1573] * jac[738] + vX_[450] * jac[743] + vX_[1617] * jac[742] + vX_[492]) - vX_[443] * vX_[876]) / vX_[445];
+ vX_[1353] = -1 * vX_[605];
+ vX_[492] = vX_[79] + jac[744];
+ vX_[59] = vX_[371] * vX_[36] + vX_[1562] * vX_[876] + vX_[1275] * vX_[605] + vX_[59];
+ vX_[876] = vX_[398] * vX_[36] + vX_[371] * vX_[876] + vX_[419] * vX_[605] + vX_[66];
+ jac[745] = (vX_[93] - vX_[395] * vX_[1353] - vX_[402] * (vX_[371] * vX_[492] + vX_[399] * vX_[634] + vX_[1677]) - vX_[383] * (vX_[398] * vX_[492] + vX_[371] * vX_[634] + vX_[681]) - vX_[393] * vX_[59] - vX_[406] * vX_[876]) / vX_[395];
+ vX_[1353] = vX_[1353] + jac[745];
+ jac[746] = (vX_[775] - 0.1104774 * (vX_[372] * vX_[59] + vX_[1520] * vX_[876] + vX_[1517] * vX_[1353] + vX_[29]) - -0.0004405 * (vX_[374] * vX_[59] + vX_[372] * vX_[876] + vX_[377] * vX_[1353] + vX_[1141]) - 0.026181 * vX_[1353]) / 0.026181;
+ vX_[974] = vX_[328] * jac[740] + vX_[249] * jac[739] + vX_[974];
+ vX_[471] = vX_[330] * jac[740] + vX_[328] * jac[739] + vX_[471];
+ vX_[1353] = 0.207 * jac[740] + jac[741];
+ vX_[640] = vX_[1318] * jac[740] + vX_[1571] * jac[739] + vX_[327] * jac[738] + vX_[1669] * jac[743] + vX_[328] * jac[742] + vX_[640];
+ jac[747] = (vX_[774] - vX_[324] * jac[738] - vX_[360] * vX_[974] - vX_[319] * vX_[471] - vX_[345] * vX_[1353] - vX_[337] * (vX_[331] * jac[740] + vX_[329] * jac[739] + vX_[368] * jac[738] + vX_[328] * jac[743] + vX_[249] * jac[742] + vX_[5]) - vX_[322] * vX_[640]) / vX_[324];
+ vX_[774] = jac[738] + jac[747];
+ vX_[61] = vX_[1229] * vX_[1353] + vX_[1319] * vX_[640] + vX_[1274] * vX_[974] + vX_[61];
+ vX_[640] = vX_[698] * vX_[1353] + vX_[250] * vX_[640] + vX_[299] * vX_[974] + vX_[685];
+ jac[748] = (vX_[720] - vX_[274] * vX_[974] - vX_[281] * (vX_[297] * vX_[774] + vX_[278] * vX_[471] + vX_[1632]) - vX_[262] * (vX_[278] * vX_[774] + vX_[250] * vX_[471] + vX_[599]) - vX_[272] * vX_[61] - vX_[285] * vX_[640]) / vX_[274];
+ vX_[974] = vX_[974] + jac[748];
+ jac[749] = (vX_[728] - 0.1104774 * (vX_[251] * vX_[61] + vX_[1276] * vX_[640] + vX_[1252] * vX_[974] + vX_[663]) - -0.0004405 * (vX_[253] * vX_[61] + vX_[251] * vX_[640] + vX_[256] * vX_[974] + vX_[631]) - 0.026181 * vX_[974]) / 0.026181;
+ vX_[962] = vX_[208] * jac[740] + vX_[138] * jac[739] + vX_[962];
+ vX_[784] = vX_[138] * jac[740] + vX_[209] * jac[739] + vX_[784];
+ vX_[844] = 0.207 * jac[740] + vX_[844];
+ vX_[671] = vX_[998] * jac[740] + vX_[1570] * jac[739] + vX_[206] * jac[738] + vX_[1668] * jac[743] + vX_[1616] * jac[742] + vX_[671];
+ jac[750] = (vX_[793] - vX_[203] * vX_[79] - vX_[240] * vX_[962] - vX_[198] * vX_[784] - vX_[225] * vX_[844] - vX_[217] * (vX_[211] * jac[740] + vX_[210] * jac[739] + vX_[248] * jac[738] + vX_[208] * jac[743] + vX_[1615] * jac[742] + vX_[576]) - vX_[201] * vX_[671]) / vX_[203];
+ vX_[793] = -1 * vX_[962];
+ vX_[79] = vX_[79] + jac[750];
+ vX_[747] = vX_[139] * vX_[844] + vX_[1079] * vX_[671] + vX_[790] * vX_[962] + vX_[747];
+ vX_[671] = vX_[159] * vX_[844] + vX_[139] * vX_[671] + vX_[177] * vX_[962] + vX_[691];
+ jac[751] = (vX_[911] - vX_[156] * vX_[793] - 2.1e-05 * (vX_[139] * vX_[79] + vX_[160] * vX_[784] + vX_[669]) - -0.000102 * (vX_[159] * vX_[79] + vX_[139] * vX_[784] + vX_[606]) - vX_[154] * vX_[747] - vX_[164] * vX_[671]) / vX_[156];
+ vX_[793] = vX_[793] + jac[751];
+ jac[752] = (vX_[1201] - 0.110125 * (vX_[142] * vX_[747] + vX_[1037] * vX_[671] + vX_[1034] * vX_[793] + vX_[1110]) - 0.000881 * (vX_[140] * vX_[747] + vX_[142] * vX_[671] + vX_[141] * vX_[793] + vX_[736]) - 0.026181 * vX_[793]) / 0.026181;
+ vX_[100] = vX_[96] * jac[740] + vX_[26] * jac[739] + vX_[100];
+ vX_[628] = vX_[98] * jac[740] + vX_[96] * jac[739] + vX_[628];
+ vX_[793] = 0.207 * jac[740] + jac[741];
+ vX_[27] = vX_[834] * jac[740] + vX_[1569] * jac[739] + vX_[95] * jac[738] + vX_[1667] * jac[743] + vX_[96] * jac[742] + vX_[27];
+ jac[753] = (vX_[544] - vX_[92] * jac[738] - vX_[128] * vX_[100] - vX_[87] * vX_[628] - vX_[113] * vX_[793] - vX_[105] * (vX_[99] * jac[740] + vX_[97] * jac[739] + vX_[136] * jac[738] + vX_[96] * jac[743] + vX_[26] * jac[742] + vX_[729]) - vX_[90] * vX_[27]) / vX_[92];
+ vX_[544] = jac[738] + jac[753];
+ vX_[600] = vX_[746] * vX_[793] + vX_[835] * vX_[27] + vX_[789] * vX_[100] + vX_[600];
+ vX_[27] = vX_[613] * vX_[793] + vX_[13] * vX_[27] + vX_[67] * vX_[100] + vX_[623];
+ jac[754] = (vX_[646] - vX_[42] * vX_[100] - vX_[49] * (vX_[65] * vX_[544] + vX_[46] * vX_[628] + vX_[82]) - vX_[30] * (vX_[46] * vX_[544] + vX_[13] * vX_[628] + vX_[724]) - vX_[40] * vX_[600] - vX_[53] * vX_[27]) / vX_[42];
+ vX_[100] = vX_[100] + jac[754];
+ jac[755] = (vX_[869] - 0.1104774 * (vX_[15] * vX_[600] + vX_[791] * vX_[27] + vX_[766] * vX_[100] + vX_[501]) - 0.0004405 * (vX_[23] * vX_[600] + vX_[15] * vX_[27] + vX_[25] * vX_[100] + vX_[732]) - 0.026181 * vX_[100]) / 0.026181;
+ vX_[11] = vX_[12] * vX_[11];
+ vX_[100] = vX_[22] * vX_[21];
+ jac[759] = 1 - vX_[11] - vX_[100];
+ vX_[27] = vX_[22] * vX_[19];
+ vX_[600] = vX_[12] * vX_[0];
+ jac[760] = vX_[27] + vX_[600];
+ jac[795] = vX_[27] - vX_[600];
+ vX_[600] = vX_[12] * vX_[19];
+ vX_[22] = vX_[22] * vX_[0];
+ jac[761] = vX_[600] - vX_[22];
+ jac[831] = vX_[600] + vX_[22];
+ vX_[22] = vX_[625] * vX_[613];
+ vX_[600] = vX_[23] * vX_[746] + vX_[15] * vX_[613];
+ vX_[27] = vX_[855] * vX_[600];
+ vX_[732] = -1000. * vX_[689] * vX_[739];
+ vX_[501] = -1000. * vX_[760] * vX_[739];
+ vX_[869] = -1000. * vX_[659] * vX_[739];
+ vX_[544] = vX_[609] * vX_[732] + vX_[757] * vX_[501] + vX_[762] * vX_[869];
+ vX_[628] = vX_[768] * vX_[732] + vX_[706] * vX_[501] + vX_[755] * vX_[869];
+ vX_[724] = vX_[587] * vX_[544] - vX_[765] * vX_[628];
+ vX_[869] = vX_[618] * vX_[732] + vX_[608] * vX_[501] + vX_[767] * vX_[869];
+ vX_[501] = vX_[771] * vX_[628] - vX_[587] * vX_[869];
+ vX_[732] = vX_[15] * vX_[746] + vX_[791] * vX_[613];
+ vX_[82] = 0 - vX_[855] * vX_[732];
+ vX_[646] = 0.1104774 * vX_[27] - vX_[96] * vX_[724] - vX_[26] * vX_[501] - vX_[610] * vX_[869] - vX_[742] * vX_[544] - vX_[749] * vX_[628] - -0.0004405 * vX_[82];
+ vX_[793] = 0 - vX_[646];
+ vX_[623] = (- vX_[600]) * x_in[35];
+ vX_[729] = vX_[732] * x_in[35];
+ vX_[671] = -0.881 * (0 - vX_[27]) + 0.414812462825713 * vX_[623] + -0.00185880198235362 * vX_[729] + (0.1104774 * vX_[793]) / 0.026181 - vX_[772] * vX_[869] - vX_[777] * vX_[544] - vX_[778] * vX_[628];
+ vX_[747] = 0.881 * vX_[82] + -0.00185880198235362 * vX_[623] + 0.880992588508842 * vX_[729] + (0.0004405 * vX_[793]) / 0.026181 - vX_[781] * vX_[869] - vX_[783] * vX_[544] - vX_[786] * vX_[628];
+ vX_[1201] = 0 - vX_[625] * vX_[746];
+ vX_[646] = 0.47422804 * vX_[22] + (0.026181 * vX_[793]) / 0.026181 + vX_[646] + vX_[766] * vX_[671] + vX_[25] * vX_[747] - 0.0825825 * vX_[1201];
+ vX_[736] = 0 - vX_[646];
+ vX_[1110] = (- vX_[613]) * x_in[34];
+ vX_[79] = vX_[746] * x_in[34];
+ vX_[22] = -3.146 * (0 - vX_[22]) + vX_[15] * vX_[671] + vX_[23] * vX_[747] + vX_[76] * vX_[1110] + vX_[78] * vX_[79] + (vX_[40] * vX_[736]) / vX_[42];
+ vX_[1201] = 3.146 * vX_[1201] + vX_[791] * vX_[671] + vX_[15] * vX_[747] + vX_[78] * vX_[1110] + vX_[77] * vX_[79] + (vX_[53] * vX_[736]) / vX_[42];
+ vX_[747] = vX_[765] * vX_[869] - vX_[771] * vX_[544];
+ vX_[732] = vX_[621] * vX_[732] - vX_[1211] * vX_[600];
+ vX_[82] = 8.81e-05 * vX_[82] + 8.81e-05 * vX_[729] - vX_[772] * vX_[724] - vX_[776] * vX_[501] - vX_[778] * vX_[747] - vX_[800] * vX_[869] - vX_[807] * vX_[544] - vX_[812] * vX_[628] - 0.1104774 * vX_[732];
+ vX_[747] = -0.0004405 * vX_[732] + 8.81e-05 * (0 - vX_[27]) + -8.81e-05 * vX_[623] - vX_[780] * vX_[724] - vX_[783] * vX_[501] - vX_[785] * vX_[747] - vX_[821] * vX_[869] - vX_[828] * vX_[544] - vX_[833] * vX_[628];
+ vX_[732] = 0.881 * vX_[732] - vX_[96] * vX_[869] - vX_[26] * vX_[544];
+ vX_[869] = vX_[1199] * vX_[746] - vX_[1661] * vX_[613];
+ vX_[544] = vX_[15] * vX_[82] + vX_[23] * vX_[747] + -0.35 * vX_[732] + vX_[50] * vX_[1110] + vX_[56] * vX_[79] + (vX_[49] * vX_[736]) / vX_[42] - 0.47422804 * vX_[869];
+ vX_[747] = 0.0825825 * vX_[869] + vX_[20] * vX_[82] + vX_[15] * vX_[747] + vX_[44] * vX_[1110] + vX_[55] * vX_[79] + (vX_[30] * vX_[736]) / vX_[42];
+ vX_[869] = 3.146 * vX_[869] + vX_[732];
+ vX_[732] = 0.1466472 * (0 - vX_[1148]) + vX_[65] * vX_[544] + vX_[46] * vX_[747] + 0.08 * vX_[869];
+ vX_[82] = 0 - vX_[732];
+ vX_[646] = 0.5824264 * vX_[1113] + (vX_[42] * vX_[736]) / vX_[42] + vX_[646] + vX_[789] * vX_[22] + vX_[67] * vX_[1201] + (vX_[128] * vX_[82]) / vX_[92];
+ vX_[747] = 0.5824264 * vX_[1148] + vX_[46] * vX_[544] + vX_[13] * vX_[747] + (vX_[87] * vX_[82]) / vX_[92];
+ vX_[544] = vX_[746] * vX_[22] + vX_[613] * vX_[1201] + (vX_[113] * vX_[82]) / vX_[92];
+ vX_[869] = -3.44 * vX_[1148] + vX_[869] + (vX_[105] * vX_[82]) / vX_[92];
+ vX_[1201] = 3.44 * vX_[1113] + vX_[835] * vX_[22] + vX_[13] * vX_[1201] + (vX_[90] * vX_[82]) / vX_[92];
+ vX_[22] = vX_[660] * -1;
+ vX_[501] = vX_[159] * -1;
+ vX_[724] = vX_[711] * vX_[501];
+ vX_[628] = vX_[139] * -1;
+ vX_[27] = vX_[140] * vX_[628] + vX_[142] * vX_[501];
+ vX_[600] = vX_[788] * vX_[27];
+ vX_[671] = (- vX_[27]) * x_in[32];
+ vX_[784] = vX_[142] * vX_[628] + vX_[1037] * vX_[501];
+ vX_[911] = vX_[784] * x_in[32];
+ vX_[606] = -1000. * vX_[942] * vX_[991];
+ vX_[669] = -1000. * vX_[1010] * vX_[991];
+ vX_[844] = -1000. * vX_[913] * vX_[991];
+ vX_[962] = vX_[861] * vX_[606] + vX_[1007] * vX_[669] + vX_[1012] * vX_[844];
+ vX_[691] = vX_[1018] * vX_[606] + vX_[992] * vX_[669] + vX_[1005] * vX_[844];
+ vX_[576] = vX_[839] * vX_[962] - vX_[1015] * vX_[691];
+ vX_[844] = vX_[870] * vX_[606] + vX_[860] * vX_[669] + vX_[1017] * vX_[844];
+ vX_[669] = vX_[1021] * vX_[691] - vX_[839] * vX_[844];
+ vX_[606] = 0 - vX_[788] * vX_[784];
+ vX_[974] = 0.110125 * vX_[600] - vX_[836] * vX_[576] - vX_[137] * vX_[669] - vX_[862] * vX_[844] - vX_[994] * vX_[962] - vX_[999] * vX_[691] - -0.000881 * vX_[606];
+ vX_[640] = 0 - vX_[974];
+ vX_[600] = -0.881 * (0 - vX_[600]) + 0.417781802643138 * vX_[671] + -0.00370574557885489 * vX_[911] + (0.110125 * vX_[640]) / 0.026181 - vX_[1006] * vX_[844] - vX_[1025] * vX_[962] - vX_[1026] * vX_[691];
+ vX_[606] = 0.881 * vX_[606] + -0.00370574557885489 * vX_[671] + 0.880970354035369 * vX_[911] + (0.000881 * vX_[640]) / 0.026181 - vX_[1028] * vX_[844] - vX_[1030] * vX_[962] - vX_[1032] * vX_[691];
+ vX_[61] = (- vX_[501]) * x_in[31];
+ vX_[631] = vX_[628] * x_in[31];
+ vX_[663] = 0 - vX_[711] * vX_[628];
+ vX_[974] = 0.47422804 * vX_[724] + (0.026181 * vX_[640]) / 0.026181 + vX_[974] + vX_[1034] * vX_[600] + vX_[141] * vX_[606] - 0.0825825 * vX_[663];
+ vX_[728] = 0 - vX_[974];
+ vX_[724] = -3.146 * (0 - vX_[724]) + vX_[142] * vX_[600] + vX_[140] * vX_[606] + vX_[187] * vX_[61] + vX_[189] * vX_[631] + (vX_[154] * vX_[728]) / vX_[156];
+ vX_[663] = 3.146 * vX_[663] + vX_[1037] * vX_[600] + vX_[142] * vX_[606] + vX_[189] * vX_[61] + vX_[188] * vX_[631] + (vX_[164] * vX_[728]) / vX_[156];
+ vX_[606] = vX_[973] * -1;
+ vX_[600] = vX_[1015] * vX_[844] - vX_[1021] * vX_[962];
+ vX_[784] = vX_[1188] * vX_[784] - vX_[868] * vX_[27];
+ vX_[27] = 0 - vX_[1006] * vX_[576] - vX_[1024] * vX_[669] - vX_[1026] * vX_[600] - vX_[1045] * vX_[844] - vX_[1052] * vX_[962] - vX_[1057] * vX_[691] - 0.110125 * vX_[784];
+ vX_[600] = -0.000881 * vX_[784] - vX_[1028] * vX_[576] - vX_[1029] * vX_[669] - vX_[1060] * vX_[600] - vX_[1067] * vX_[844] - vX_[1074] * vX_[962] - vX_[1078] * vX_[691];
+ vX_[784] = 0.881 * vX_[784] - vX_[840] * vX_[844] - vX_[137] * vX_[962];
+ vX_[628] = vX_[712] * vX_[628] - vX_[959] * vX_[501];
+ vX_[501] = vX_[142] * vX_[27] + vX_[140] * vX_[600] + -0.35 * vX_[784] + vX_[161] * vX_[61] + vX_[167] * vX_[631] + (2.1e-05 * vX_[728]) / vX_[156] - 0.47422804 * vX_[628];
+ vX_[600] = 0.0825825 * vX_[628] + vX_[152] * vX_[27] + vX_[142] * vX_[600] + vX_[158] * vX_[61] + vX_[166] * vX_[631] + (-0.000102 * vX_[728]) / vX_[156];
+ vX_[628] = 3.146 * vX_[628] + vX_[784];
+ vX_[784] = 0.1466472 * (0 - vX_[606]) + vX_[139] * vX_[501] + vX_[159] * vX_[600] + -0.08 * vX_[628];
+ vX_[27] = 0 - vX_[784];
+ vX_[974] = -0.5824264 * vX_[22] + vX_[790] * vX_[724] + vX_[177] * vX_[663] + -1 * (vX_[974] + (vX_[156] * vX_[728]) / vX_[156]) + (vX_[240] * vX_[27]) / vX_[203];
+ vX_[600] = -0.5824264 * vX_[606] + vX_[160] * vX_[501] + vX_[139] * vX_[600] + (vX_[198] * vX_[27]) / vX_[203];
+ vX_[501] = vX_[139] * vX_[724] + vX_[159] * vX_[663] + (vX_[225] * vX_[27]) / vX_[203];
+ vX_[628] = -3.44 * vX_[606] + -1 * vX_[628] + (vX_[217] * vX_[27]) / vX_[203];
+ vX_[663] = 3.44 * vX_[22] + vX_[1079] * vX_[724] + vX_[139] * vX_[663] + (vX_[201] * vX_[27]) / vX_[203];
+ vX_[724] = vX_[847] * vX_[698];
+ vX_[22] = vX_[253] * vX_[1229] + vX_[251] * vX_[698];
+ vX_[606] = vX_[953] * vX_[22];
+ vX_[844] = -1000. * vX_[1179] * vX_[1228];
+ vX_[962] = -1000. * vX_[1246] * vX_[1228];
+ vX_[669] = -1000. * vX_[1150] * vX_[1228];
+ vX_[576] = vX_[1103] * vX_[844] + vX_[1243] * vX_[962] + vX_[1248] * vX_[669];
+ vX_[691] = vX_[1254] * vX_[844] + vX_[1232] * vX_[962] + vX_[1241] * vX_[669];
+ vX_[774] = vX_[1081] * vX_[576] - vX_[1251] * vX_[691];
+ vX_[669] = vX_[740] * vX_[844] + vX_[1102] * vX_[962] + vX_[1253] * vX_[669];
+ vX_[962] = vX_[1257] * vX_[691] - vX_[1081] * vX_[669];
+ vX_[844] = vX_[251] * vX_[1229] + vX_[1276] * vX_[698];
+ vX_[471] = 0 - vX_[953] * vX_[844];
+ vX_[599] = 0.1104774 * vX_[606] - vX_[328] * vX_[774] - vX_[249] * vX_[962] - vX_[1105] * vX_[669] - vX_[1230] * vX_[576] - vX_[1235] * vX_[691] - 0.0004405 * vX_[471];
+ vX_[1632] = 0 - vX_[599];
+ vX_[720] = (- vX_[22]) * x_in[29];
+ vX_[1353] = vX_[844] * x_in[29];
+ vX_[685] = -0.881 * (0 - vX_[606]) + 0.414812462825713 * vX_[720] + 0.00185880198235362 * vX_[1353] + (0.1104774 * vX_[1632]) / 0.026181 - vX_[1258] * vX_[669] - vX_[1263] * vX_[576] - vX_[1265] * vX_[691];
+ vX_[5] = 0.881 * vX_[471] + 0.00185880198235362 * vX_[720] + 0.880992588508842 * vX_[1353] + (-0.0004405 * vX_[1632]) / 0.026181 - vX_[1267] * vX_[669] - vX_[1269] * vX_[576] - vX_[1271] * vX_[691];
+ vX_[876] = 0 - vX_[847] * vX_[1229];
+ vX_[599] = 0.47422804 * vX_[724] + (0.026181 * vX_[1632]) / 0.026181 + vX_[599] + vX_[1252] * vX_[685] + vX_[256] * vX_[5] - -0.0825825 * vX_[876];
+ vX_[59] = 0 - vX_[599];
+ vX_[775] = (- vX_[698]) * x_in[28];
+ vX_[1141] = vX_[1229] * x_in[28];
+ vX_[724] = -3.146 * (0 - vX_[724]) + vX_[251] * vX_[685] + vX_[253] * vX_[5] + vX_[308] * vX_[775] + vX_[310] * vX_[1141] + (vX_[272] * vX_[59]) / vX_[274];
+ vX_[876] = 3.146 * vX_[876] + vX_[1276] * vX_[685] + vX_[251] * vX_[5] + vX_[310] * vX_[775] + vX_[309] * vX_[1141] + (vX_[285] * vX_[59]) / vX_[274];
+ vX_[5] = vX_[1251] * vX_[669] - vX_[1257] * vX_[576];
+ vX_[844] = vX_[700] * vX_[844] - vX_[1084] * vX_[22];
+ vX_[471] = -8.81e-05 * vX_[471] + -8.81e-05 * vX_[1353] - vX_[1258] * vX_[774] - vX_[1262] * vX_[962] - vX_[1264] * vX_[5] - vX_[1285] * vX_[669] - vX_[1292] * vX_[576] - vX_[1297] * vX_[691] - 0.1104774 * vX_[844];
+ vX_[5] = 0.0004405 * vX_[844] + -8.81e-05 * (0 - vX_[606]) + 8.81e-05 * vX_[720] - vX_[1267] * vX_[774] - vX_[1269] * vX_[962] - vX_[1271] * vX_[5] - vX_[1305] * vX_[669] - vX_[1312] * vX_[576] - vX_[1317] * vX_[691];
+ vX_[844] = 0.881 * vX_[844] - vX_[328] * vX_[669] - vX_[249] * vX_[576];
+ vX_[669] = vX_[1190] * vX_[1229] - vX_[1328] * vX_[698];
+ vX_[576] = vX_[251] * vX_[471] + vX_[253] * vX_[5] + -0.35 * vX_[844] + vX_[282] * vX_[775] + vX_[288] * vX_[1141] + (vX_[281] * vX_[59]) / vX_[274] - 0.47422804 * vX_[669];
+ vX_[5] = -0.0825825 * vX_[669] + vX_[254] * vX_[471] + vX_[251] * vX_[5] + vX_[276] * vX_[775] + vX_[287] * vX_[1141] + (vX_[262] * vX_[59]) / vX_[274];
+ vX_[669] = 3.146 * vX_[669] + vX_[844];
+ vX_[844] = 0.1466472 * (0 - vX_[1198]) + vX_[297] * vX_[576] + vX_[278] * vX_[5] + 0.08 * vX_[669];
+ vX_[471] = 0 - vX_[844];
+ vX_[599] = -0.5824264 * vX_[1327] + (vX_[274] * vX_[59]) / vX_[274] + vX_[599] + vX_[1274] * vX_[724] + vX_[299] * vX_[876] + (vX_[360] * vX_[471]) / vX_[324];
+ vX_[5] = -0.5824264 * vX_[1198] + vX_[278] * vX_[576] + vX_[250] * vX_[5] + (vX_[319] * vX_[471]) / vX_[324];
+ vX_[576] = vX_[1229] * vX_[724] + vX_[698] * vX_[876] + (vX_[345] * vX_[471]) / vX_[324];
+ vX_[669] = -3.44 * vX_[1198] + vX_[669] + (vX_[337] * vX_[471]) / vX_[324];
+ vX_[876] = 3.44 * vX_[1327] + vX_[1319] * vX_[724] + vX_[250] * vX_[876] + (vX_[322] * vX_[471]) / vX_[324];
+ vX_[724] = vX_[597] * -1;
+ vX_[962] = vX_[398] * -1;
+ vX_[774] = vX_[849] * vX_[962];
+ vX_[691] = vX_[371] * -1;
+ vX_[606] = vX_[374] * vX_[691] + vX_[372] * vX_[962];
+ vX_[22] = vX_[593] * vX_[606];
+ vX_[685] = (- vX_[606]) * x_in[26];
+ vX_[29] = vX_[372] * vX_[691] + vX_[1520] * vX_[962];
+ vX_[492] = vX_[29] * x_in[26];
+ vX_[634] = -1000. * vX_[1425] * vX_[1474];
+ vX_[93] = -1000. * vX_[1493] * vX_[1474];
+ vX_[681] = -1000. * vX_[1396] * vX_[1474];
+ vX_[1677] = vX_[1347] * vX_[634] + vX_[1490] * vX_[93] + vX_[1495] * vX_[681];
+ vX_[36] = vX_[1501] * vX_[634] + vX_[1475] * vX_[93] + vX_[1488] * vX_[681];
+ vX_[605] = vX_[1325] * vX_[1677] - vX_[1498] * vX_[36];
+ vX_[681] = vX_[1356] * vX_[634] + vX_[1346] * vX_[93] + vX_[1500] * vX_[681];
+ vX_[93] = vX_[1504] * vX_[36] - vX_[1325] * vX_[681];
+ vX_[634] = 0 - vX_[593] * vX_[29];
+ vX_[66] = 0.1104774 * vX_[22] - vX_[1321] * vX_[605] - vX_[369] * vX_[93] - vX_[1348] * vX_[681] - vX_[1477] * vX_[1677] - vX_[1482] * vX_[36] - 0.0004405 * vX_[634];
+ vX_[106] = 0 - vX_[66];
+ vX_[733] = -0.881 * (0 - vX_[22]) + 0.414812462825713 * vX_[685] + 0.00185880198235362 * vX_[492] + (0.1104774 * vX_[106]) / 0.026181 - vX_[1489] * vX_[681] - vX_[1507] * vX_[1677] - vX_[1508] * vX_[36];
+ vX_[489] = 0.881 * vX_[634] + 0.00185880198235362 * vX_[685] + 0.880992588508842 * vX_[492] + (-0.0004405 * vX_[106]) / 0.026181 - vX_[1511] * vX_[681] - vX_[1512] * vX_[1677] - vX_[1515] * vX_[36];
+ vX_[58] = (- vX_[962]) * x_in[25];
+ vX_[126] = vX_[691] * x_in[25];
+ vX_[738] = 0 - vX_[849] * vX_[691];
+ vX_[66] = 0.47422804 * vX_[774] + (0.026181 * vX_[106]) / 0.026181 + vX_[66] + vX_[1517] * vX_[733] + vX_[377] * vX_[489] - -0.0825825 * vX_[738];
+ vX_[769] = 0 - vX_[66];
+ vX_[774] = -3.146 * (0 - vX_[774]) + vX_[372] * vX_[733] + vX_[374] * vX_[489] + vX_[429] * vX_[58] + vX_[431] * vX_[126] + (vX_[393] * vX_[769]) / vX_[395];
+ vX_[738] = 3.146 * vX_[738] + vX_[1520] * vX_[733] + vX_[372] * vX_[489] + vX_[431] * vX_[58] + vX_[430] * vX_[126] + (vX_[406] * vX_[769]) / vX_[395];
+ vX_[489] = vX_[1331] * -1;
+ vX_[733] = vX_[1498] * vX_[681] - vX_[1504] * vX_[1677];
+ vX_[29] = vX_[1147] * vX_[29] - vX_[1392] * vX_[606];
+ vX_[634] = -8.81e-05 * vX_[634] + -8.81e-05 * vX_[492] - vX_[1521] * vX_[605] - vX_[1507] * vX_[93] - vX_[1508] * vX_[733] - vX_[1529] * vX_[681] - vX_[1536] * vX_[1677] - vX_[1541] * vX_[36] - 0.1104774 * vX_[29];
+ vX_[733] = 0.0004405 * vX_[29] + -8.81e-05 * (0 - vX_[22]) + 8.81e-05 * vX_[685] - vX_[1510] * vX_[605] - vX_[1512] * vX_[93] - vX_[1514] * vX_[733] - vX_[1550] * vX_[681] - vX_[1557] * vX_[1677] - vX_[1561] * vX_[36];
+ vX_[29] = 0.881 * vX_[29] - vX_[1326] * vX_[681] - vX_[369] * vX_[1677];
+ vX_[691] = vX_[877] * vX_[691] - vX_[866] * vX_[962];
+ vX_[962] = vX_[372] * vX_[634] + vX_[374] * vX_[733] + -0.35 * vX_[29] + vX_[403] * vX_[58] + vX_[409] * vX_[126] + (vX_[402] * vX_[769]) / vX_[395] - 0.47422804 * vX_[691];
+ vX_[733] = -0.0825825 * vX_[691] + vX_[375] * vX_[634] + vX_[372] * vX_[733] + vX_[397] * vX_[58] + vX_[408] * vX_[126] + (vX_[383] * vX_[769]) / vX_[395];
+ vX_[691] = 3.146 * vX_[691] + vX_[29];
+ vX_[29] = 0.1466472 * (0 - vX_[489]) + vX_[371] * vX_[962] + vX_[398] * vX_[733] + -0.08 * vX_[691];
+ vX_[634] = 0 - vX_[29];
+ vX_[66] = 0.5824264 * vX_[724] + vX_[1275] * vX_[774] + vX_[419] * vX_[738] + -1 * (vX_[66] + (vX_[395] * vX_[769]) / vX_[395]) + (vX_[482] * vX_[634]) / vX_[445];
+ vX_[733] = 0.5824264 * vX_[489] + vX_[399] * vX_[962] + vX_[371] * vX_[733] + (vX_[440] * vX_[634]) / vX_[445];
+ vX_[962] = vX_[371] * vX_[774] + vX_[398] * vX_[738] + (vX_[467] * vX_[634]) / vX_[445];
+ vX_[691] = -3.44 * vX_[489] + -1 * vX_[691] + (vX_[459] * vX_[634]) / vX_[445];
+ vX_[738] = 3.44 * vX_[724] + vX_[1562] * vX_[774] + vX_[371] * vX_[738] + (vX_[443] * vX_[634]) / vX_[445];
+ vX_[774] = 0 - x_in[19];
+ vX_[29] = (-0.0053433 * vX_[774] + 2.0678571 * (0 - x_in[20]) + (vX_[92] * vX_[82]) / vX_[92] + vX_[732] + vX_[136] * vX_[869] + vX_[95] * vX_[1201] + vX_[248] * vX_[628] + vX_[206] * vX_[663] + -1 * (vX_[784] + (vX_[203] * vX_[27]) / vX_[203]) + (vX_[324] * vX_[471]) / vX_[324] + vX_[844] + vX_[368] * vX_[669] + vX_[327] * vX_[876] + vX_[1573] * vX_[691] + vX_[448] * vX_[738] + -1 * (vX_[29] + (vX_[445] * vX_[634]) / vX_[445])) / vX_[583];
+ vX_[844] = (vX_[26] * vX_[646] + vX_[96] * vX_[747] + vX_[97] * vX_[869] + vX_[1569] * vX_[1201] + vX_[138] * vX_[974] + vX_[209] * vX_[600] + vX_[210] * vX_[628] + vX_[1570] * vX_[663] + vX_[249] * vX_[599] + vX_[328] * vX_[5] + vX_[329] * vX_[669] + vX_[1571] * vX_[876] + vX_[370] * vX_[66] + vX_[451] * vX_[733] + vX_[452] * vX_[691] + vX_[1572] * vX_[738] - -1.1915559 * vX_[774] - vX_[1566] * vX_[29]) / vX_[580];
+ vX_[733] = (-1.1915559 * x_in[20] + vX_[96] * vX_[646] + vX_[98] * vX_[747] + 0.207 * vX_[544] + vX_[99] * vX_[869] + vX_[834] * vX_[1201] + vX_[208] * vX_[974] + vX_[138] * vX_[600] + 0.207 * vX_[501] + vX_[211] * vX_[628] + vX_[998] * vX_[663] + vX_[328] * vX_[599] + vX_[330] * vX_[5] + 0.207 * vX_[576] + vX_[331] * vX_[669] + vX_[1318] * vX_[876] + vX_[450] * vX_[66] + vX_[370] * vX_[733] + 0.207 * vX_[962] + vX_[453] * vX_[691] + vX_[1481] * vX_[738] - vX_[1568] * vX_[844] - vX_[490] * vX_[29]) / vX_[582];
+ vX_[962] = (vX_[544] + -1 * vX_[501] + vX_[576] + -1 * vX_[962] - vX_[1610] * vX_[844] - vX_[1630] * vX_[29] - vX_[1627] * vX_[733]) / vX_[1657];
+ vX_[576] = (-53.433 * (0 - x_in[20]) + vX_[26] * vX_[869] + vX_[96] * vX_[1201] + vX_[1615] * vX_[628] + vX_[1616] * vX_[663] + vX_[249] * vX_[669] + vX_[328] * vX_[876] + vX_[1617] * vX_[691] + vX_[1618] * vX_[738] - vX_[1587] * vX_[844] - vX_[1611] * vX_[29] - vX_[1575] * vX_[733] - vX_[1629] * vX_[962]) / vX_[1654];
+ vX_[774] = (53.433 * vX_[774] + vX_[96] * vX_[869] + vX_[1667] * vX_[1201] + vX_[208] * vX_[628] + vX_[1668] * vX_[663] + vX_[328] * vX_[669] + vX_[1669] * vX_[876] + vX_[450] * vX_[691] + vX_[1670] * vX_[738] - vX_[748] * vX_[844] - vX_[1626] * vX_[29] - vX_[484] * vX_[733] - vX_[1664] * vX_[962] - vX_[1584] * vX_[576]) / vX_[1656];
+ jac[779] = - vX_[774];
+ vX_[576] = vX_[576] - vX_[1666] * vX_[774];
+ jac[778] = - vX_[576];
+ vX_[962] = vX_[962] - vX_[1665] * vX_[774] - vX_[1599] * vX_[576];
+ jac[777] = - vX_[962];
+ vX_[733] = vX_[733] - vX_[1614] * vX_[576] - vX_[1628] * vX_[962] - vX_[1660] * vX_[774];
+ jac[776] = - vX_[733];
+ vX_[844] = vX_[844] - vX_[1619] * vX_[962] - vX_[1565] * vX_[733] - vX_[1613] * vX_[576] - vX_[1659] * vX_[774];
+ jac[774] = vX_[584] * vX_[733] + vX_[1567] * vX_[844] + vX_[1593] * vX_[962] + vX_[1612] * vX_[576] + vX_[1658] * vX_[774] - vX_[29];
+ jac[775] = - vX_[844];
+ vX_[844] = -1 * jac[774];
+ vX_[733] = vX_[450] * jac[776] + vX_[370] * jac[775];
+ vX_[962] = vX_[370] * jac[776] + vX_[451] * jac[775];
+ vX_[576] = -1 * jac[777];
+ vX_[774] = 0.207 * jac[776] + vX_[576];
+ vX_[29] = vX_[1481] * jac[776] + vX_[1572] * jac[775] + vX_[448] * jac[774] + vX_[1670] * jac[779] + vX_[1618] * jac[778];
+ jac[780] = (vX_[634] - vX_[445] * vX_[844] - vX_[482] * vX_[733] - vX_[440] * vX_[962] - vX_[467] * vX_[774] - vX_[459] * (vX_[453] * jac[776] + vX_[452] * jac[775] + vX_[1573] * jac[774] + vX_[450] * jac[779] + vX_[1617] * jac[778]) - vX_[443] * vX_[29]) / vX_[445];
+ vX_[634] = -1 * vX_[733];
+ vX_[738] = vX_[844] + jac[780];
+ vX_[58] = vX_[371] * vX_[774] + vX_[1562] * vX_[29] + vX_[1275] * vX_[733] + vX_[58];
+ vX_[29] = vX_[398] * vX_[774] + vX_[371] * vX_[29] + vX_[419] * vX_[733] + vX_[126];
+ jac[781] = (vX_[769] - vX_[395] * vX_[634] - vX_[402] * (vX_[371] * vX_[738] + vX_[399] * vX_[962]) - vX_[383] * (vX_[398] * vX_[738] + vX_[371] * vX_[962]) - vX_[393] * vX_[58] - vX_[406] * vX_[29]) / vX_[395];
+ vX_[634] = vX_[634] + jac[781];
+ jac[782] = (vX_[106] - 0.1104774 * (vX_[372] * vX_[58] + vX_[1520] * vX_[29] + vX_[1517] * vX_[634] + vX_[685]) - -0.0004405 * (vX_[374] * vX_[58] + vX_[372] * vX_[29] + vX_[377] * vX_[634] + vX_[492]) - 0.026181 * vX_[634]) / 0.026181;
+ vX_[634] = vX_[328] * jac[776] + vX_[249] * jac[775];
+ vX_[29] = vX_[330] * jac[776] + vX_[328] * jac[775];
+ vX_[58] = 0.207 * jac[776] + jac[777];
+ vX_[106] = vX_[1318] * jac[776] + vX_[1571] * jac[775] + vX_[327] * jac[774] + vX_[1669] * jac[779] + vX_[328] * jac[778];
+ jac[783] = (vX_[471] - vX_[324] * jac[774] - vX_[360] * vX_[634] - vX_[319] * vX_[29] - vX_[345] * vX_[58] - vX_[337] * (vX_[331] * jac[776] + vX_[329] * jac[775] + vX_[368] * jac[774] + vX_[328] * jac[779] + vX_[249] * jac[778]) - vX_[322] * vX_[106]) / vX_[324];
+ vX_[471] = jac[774] + jac[783];
+ vX_[775] = vX_[1229] * vX_[58] + vX_[1319] * vX_[106] + vX_[1274] * vX_[634] + vX_[775];
+ vX_[106] = vX_[698] * vX_[58] + vX_[250] * vX_[106] + vX_[299] * vX_[634] + vX_[1141];
+ jac[784] = (vX_[59] - vX_[274] * vX_[634] - vX_[281] * (vX_[297] * vX_[471] + vX_[278] * vX_[29]) - vX_[262] * (vX_[278] * vX_[471] + vX_[250] * vX_[29]) - vX_[272] * vX_[775] - vX_[285] * vX_[106]) / vX_[274];
+ vX_[634] = vX_[634] + jac[784];
+ jac[785] = (vX_[1632] - 0.1104774 * (vX_[251] * vX_[775] + vX_[1276] * vX_[106] + vX_[1252] * vX_[634] + vX_[720]) - -0.0004405 * (vX_[253] * vX_[775] + vX_[251] * vX_[106] + vX_[256] * vX_[634] + vX_[1353]) - 0.026181 * vX_[634]) / 0.026181;
+ vX_[634] = vX_[208] * jac[776] + vX_[138] * jac[775];
+ vX_[106] = vX_[138] * jac[776] + vX_[209] * jac[775];
+ vX_[576] = 0.207 * jac[776] + vX_[576];
+ vX_[775] = vX_[998] * jac[776] + vX_[1570] * jac[775] + vX_[206] * jac[774] + vX_[1668] * jac[779] + vX_[1616] * jac[778];
+ jac[786] = (vX_[27] - vX_[203] * vX_[844] - vX_[240] * vX_[634] - vX_[198] * vX_[106] - vX_[225] * vX_[576] - vX_[217] * (vX_[211] * jac[776] + vX_[210] * jac[775] + vX_[248] * jac[774] + vX_[208] * jac[779] + vX_[1615] * jac[778]) - vX_[201] * vX_[775]) / vX_[203];
+ vX_[27] = -1 * vX_[634];
+ vX_[844] = vX_[844] + jac[786];
+ vX_[61] = vX_[139] * vX_[576] + vX_[1079] * vX_[775] + vX_[790] * vX_[634] + vX_[61];
+ vX_[775] = vX_[159] * vX_[576] + vX_[139] * vX_[775] + vX_[177] * vX_[634] + vX_[631];
+ jac[787] = (vX_[728] - vX_[156] * vX_[27] - 2.1e-05 * (vX_[139] * vX_[844] + vX_[160] * vX_[106]) - -0.000102 * (vX_[159] * vX_[844] + vX_[139] * vX_[106]) - vX_[154] * vX_[61] - vX_[164] * vX_[775]) / vX_[156];
+ vX_[27] = vX_[27] + jac[787];
+ jac[788] = (vX_[640] - 0.110125 * (vX_[142] * vX_[61] + vX_[1037] * vX_[775] + vX_[1034] * vX_[27] + vX_[671]) - 0.000881 * (vX_[140] * vX_[61] + vX_[142] * vX_[775] + vX_[141] * vX_[27] + vX_[911]) - 0.026181 * vX_[27]) / 0.026181;
+ vX_[27] = vX_[96] * jac[776] + vX_[26] * jac[775];
+ vX_[775] = vX_[98] * jac[776] + vX_[96] * jac[775];
+ vX_[61] = 0.207 * jac[776] + jac[777];
+ vX_[640] = vX_[834] * jac[776] + vX_[1569] * jac[775] + vX_[95] * jac[774] + vX_[1667] * jac[779] + vX_[96] * jac[778];
+ jac[789] = (vX_[82] - vX_[92] * jac[774] - vX_[128] * vX_[27] - vX_[87] * vX_[775] - vX_[113] * vX_[61] - vX_[105] * (vX_[99] * jac[776] + vX_[97] * jac[775] + vX_[136] * jac[774] + vX_[96] * jac[779] + vX_[26] * jac[778]) - vX_[90] * vX_[640]) / vX_[92];
+ vX_[82] = jac[774] + jac[789];
+ vX_[1110] = vX_[746] * vX_[61] + vX_[835] * vX_[640] + vX_[789] * vX_[27] + vX_[1110];
+ vX_[640] = vX_[613] * vX_[61] + vX_[13] * vX_[640] + vX_[67] * vX_[27] + vX_[79];
+ jac[790] = (vX_[736] - vX_[42] * vX_[27] - vX_[49] * (vX_[65] * vX_[82] + vX_[46] * vX_[775]) - vX_[30] * (vX_[46] * vX_[82] + vX_[13] * vX_[775]) - vX_[40] * vX_[1110] - vX_[53] * vX_[640]) / vX_[42];
+ vX_[27] = vX_[27] + jac[790];
+ jac[791] = (vX_[793] - 0.1104774 * (vX_[15] * vX_[1110] + vX_[791] * vX_[640] + vX_[766] * vX_[27] + vX_[623]) - 0.0004405 * (vX_[23] * vX_[1110] + vX_[15] * vX_[640] + vX_[25] * vX_[27] + vX_[729]) - 0.026181 * vX_[27]) / 0.026181;
+ vX_[19] = vX_[18] * vX_[19];
+ jac[796] = 1 - vX_[11] - vX_[19];
+ jac[833] = 1 - vX_[100] - vX_[19];
+ vX_[21] = vX_[12] * vX_[21];
+ vX_[18] = vX_[18] * vX_[0];
+ jac[797] = vX_[21] + vX_[18];
+ jac[832] = vX_[21] - vX_[18];
+ vX_[18] = 0 - vX_[892] * vX_[26];
+ vX_[21] = vX_[13] * vX_[96];
+ vX_[0] = vX_[625] * vX_[21];
+ vX_[12] = vX_[1199] * vX_[26];
+ vX_[19] = vX_[835] * vX_[96];
+ vX_[100] = vX_[23] * vX_[19] + vX_[15] * vX_[21];
+ vX_[11] = vX_[855] * vX_[100];
+ vX_[27] = vX_[621] * vX_[26];
+ vX_[640] = -1000. * vX_[662] * vX_[739];
+ vX_[1110] = -1000. * vX_[626] * vX_[739];
+ vX_[729] = -1000. * vX_[759] * vX_[739];
+ vX_[623] = vX_[609] * vX_[640] + vX_[757] * vX_[1110] + vX_[762] * vX_[729];
+ vX_[793] = vX_[768] * vX_[640] + vX_[706] * vX_[1110] + vX_[755] * vX_[729];
+ vX_[82] = vX_[587] * vX_[623] - vX_[765] * vX_[793];
+ vX_[729] = vX_[618] * vX_[640] + vX_[608] * vX_[1110] + vX_[767] * vX_[729];
+ vX_[1110] = vX_[771] * vX_[793] - vX_[587] * vX_[729];
+ vX_[640] = vX_[15] * vX_[19] + vX_[791] * vX_[21];
+ vX_[775] = vX_[1211] * vX_[26] - vX_[855] * vX_[640];
+ vX_[736] = 0.1104774 * (vX_[11] - vX_[27]) - vX_[96] * vX_[82] - vX_[26] * vX_[1110] - vX_[610] * vX_[729] - vX_[742] * vX_[623] - vX_[749] * vX_[793] - -0.0004405 * vX_[775];
+ vX_[61] = 0 - vX_[736];
+ vX_[79] = (- vX_[100]) * x_in[35];
+ vX_[911] = vX_[640] * x_in[35];
+ vX_[671] = -0.881 * (vX_[27] - vX_[11]) + 0.414812462825713 * vX_[79] + -0.00185880198235362 * vX_[911] + (0.1104774 * vX_[61]) / 0.026181 - vX_[772] * vX_[729] - vX_[777] * vX_[623] - vX_[778] * vX_[793];
+ vX_[844] = 0.881 * vX_[775] + -0.00185880198235362 * vX_[79] + 0.880992588508842 * vX_[911] + (0.0004405 * vX_[61]) / 0.026181 - vX_[781] * vX_[729] - vX_[783] * vX_[623] - vX_[786] * vX_[793];
+ vX_[106] = vX_[1661] * vX_[26] - vX_[625] * vX_[19];
+ vX_[736] = 0.47422804 * (vX_[0] - vX_[12]) + (0.026181 * vX_[61]) / 0.026181 + vX_[736] + vX_[766] * vX_[671] + vX_[25] * vX_[844] - 0.0825825 * vX_[106];
+ vX_[728] = 0 - vX_[736];
+ vX_[576] = (- vX_[21]) * x_in[34];
+ vX_[634] = vX_[19] * x_in[34];
+ vX_[12] = -3.146 * (vX_[12] - vX_[0]) + vX_[15] * vX_[671] + vX_[23] * vX_[844] + vX_[76] * vX_[576] + vX_[78] * vX_[634] + (vX_[40] * vX_[728]) / vX_[42];
+ vX_[106] = 3.146 * vX_[106] + vX_[791] * vX_[671] + vX_[15] * vX_[844] + vX_[78] * vX_[576] + vX_[77] * vX_[634] + (vX_[53] * vX_[728]) / vX_[42];
+ vX_[844] = (- vX_[96]) * x_in[33];
+ vX_[671] = vX_[26] * x_in[33];
+ vX_[0] = vX_[892] * vX_[96];
+ vX_[631] = vX_[765] * vX_[729] - vX_[771] * vX_[623];
+ vX_[640] = vX_[621] * vX_[640] - vX_[1211] * vX_[100];
+ vX_[775] = 8.81e-05 * vX_[775] + 8.81e-05 * vX_[911] - vX_[772] * vX_[82] - vX_[776] * vX_[1110] - vX_[778] * vX_[631] - vX_[800] * vX_[729] - vX_[807] * vX_[623] - vX_[812] * vX_[793] - 0.1104774 * vX_[640];
+ vX_[631] = -0.0004405 * vX_[640] + 8.81e-05 * (vX_[27] - vX_[11]) + -8.81e-05 * vX_[79] - vX_[780] * vX_[82] - vX_[783] * vX_[1110] - vX_[785] * vX_[631] - vX_[821] * vX_[729] - vX_[828] * vX_[623] - vX_[833] * vX_[793];
+ vX_[640] = 0.881 * vX_[640] - vX_[96] * vX_[729] - vX_[26] * vX_[623];
+ vX_[19] = vX_[1199] * vX_[19] - vX_[1661] * vX_[21];
+ vX_[21] = vX_[15] * vX_[775] + vX_[23] * vX_[631] + -0.35 * vX_[640] + vX_[50] * vX_[576] + vX_[56] * vX_[634] + (vX_[49] * vX_[728]) / vX_[42] - 0.47422804 * vX_[19];
+ vX_[631] = 0.0825825 * vX_[19] + vX_[20] * vX_[775] + vX_[15] * vX_[631] + vX_[44] * vX_[576] + vX_[55] * vX_[634] + (vX_[30] * vX_[728]) / vX_[42];
+ vX_[19] = 3.146 * vX_[19] + vX_[640];
+ vX_[640] = 0.1466472 * vX_[0] + vX_[65] * vX_[21] + vX_[46] * vX_[631] + 0.08 * vX_[19];
+ vX_[775] = 0 - vX_[640];
+ vX_[729] = vX_[1148] * vX_[26] - vX_[1113] * vX_[96];
+ vX_[736] = 0.5824264 * vX_[18] + (vX_[42] * vX_[728]) / vX_[42] + vX_[736] + vX_[789] * vX_[12] + vX_[67] * vX_[106] + vX_[129] * vX_[844] + vX_[118] * vX_[671] + (vX_[128] * vX_[775]) / vX_[92] - 0.1466472 * vX_[729];
+ vX_[631] = 0.5824264 * (0 - vX_[0]) + vX_[46] * vX_[21] + vX_[13] * vX_[631] + vX_[119] * vX_[844] + vX_[94] * vX_[671] + (vX_[87] * vX_[775]) / vX_[92];
+ vX_[729] = 3.44 * vX_[729] + vX_[746] * vX_[12] + vX_[613] * vX_[106] + vX_[122] * vX_[844] + vX_[115] * vX_[671] + (vX_[113] * vX_[775]) / vX_[92];
+ vX_[19] = -3.44 * (0 - vX_[0]) + vX_[19] + vX_[121] * vX_[844] + vX_[107] * vX_[671] + (vX_[105] * vX_[775]) / vX_[92];
+ vX_[106] = 3.44 * vX_[18] + vX_[835] * vX_[12] + vX_[13] * vX_[106] + vX_[107] * vX_[844] + vX_[133] * vX_[671] + (vX_[90] * vX_[775]) / vX_[92];
+ vX_[12] = 0 - vX_[622] * vX_[1615];
+ vX_[18] = -1 * vX_[1615];
+ vX_[0] = vX_[712] * vX_[18];
+ vX_[21] = vX_[139] * vX_[1616];
+ vX_[623] = vX_[711] * vX_[21];
+ vX_[1110] = vX_[1188] * vX_[18];
+ vX_[82] = vX_[1079] * vX_[1616];
+ vX_[793] = vX_[140] * vX_[82] + vX_[142] * vX_[21];
+ vX_[27] = vX_[788] * vX_[793];
+ vX_[11] = (- vX_[793]) * x_in[32];
+ vX_[100] = vX_[142] * vX_[82] + vX_[1037] * vX_[21];
+ vX_[1353] = vX_[100] * x_in[32];
+ vX_[720] = -1000. * vX_[916] * vX_[991];
+ vX_[1632] = -1000. * vX_[878] * vX_[991];
+ vX_[471] = -1000. * vX_[1009] * vX_[991];
+ vX_[29] = vX_[861] * vX_[720] + vX_[1007] * vX_[1632] + vX_[1012] * vX_[471];
+ vX_[59] = vX_[1018] * vX_[720] + vX_[992] * vX_[1632] + vX_[1005] * vX_[471];
+ vX_[58] = vX_[839] * vX_[29] - vX_[1015] * vX_[59];
+ vX_[471] = vX_[870] * vX_[720] + vX_[860] * vX_[1632] + vX_[1017] * vX_[471];
+ vX_[1632] = vX_[1021] * vX_[59] - vX_[839] * vX_[471];
+ vX_[720] = vX_[868] * vX_[18] - vX_[788] * vX_[100];
+ vX_[1141] = 0.110125 * (vX_[27] - vX_[1110]) - vX_[836] * vX_[58] - vX_[137] * vX_[1632] - vX_[862] * vX_[471] - vX_[994] * vX_[29] - vX_[999] * vX_[59] - -0.000881 * vX_[720];
+ vX_[492] = 0 - vX_[1141];
+ vX_[27] = -0.881 * (vX_[1110] - vX_[27]) + 0.417781802643138 * vX_[11] + -0.00370574557885489 * vX_[1353] + (0.110125 * vX_[492]) / 0.026181 - vX_[1006] * vX_[471] - vX_[1025] * vX_[29] - vX_[1026] * vX_[59];
+ vX_[720] = 0.881 * vX_[720] + -0.00370574557885489 * vX_[11] + 0.880970354035369 * vX_[1353] + (0.000881 * vX_[492]) / 0.026181 - vX_[1028] * vX_[471] - vX_[1030] * vX_[29] - vX_[1032] * vX_[59];
+ vX_[1110] = (- vX_[21]) * x_in[31];
+ vX_[685] = vX_[82] * x_in[31];
+ vX_[18] = vX_[959] * vX_[18] - vX_[711] * vX_[82];
+ vX_[1141] = 0.47422804 * (vX_[623] - vX_[0]) + (0.026181 * vX_[492]) / 0.026181 + vX_[1141] + vX_[1034] * vX_[27] + vX_[141] * vX_[720] - 0.0825825 * vX_[18];
+ vX_[738] = 0 - vX_[1141];
+ vX_[623] = -3.146 * (vX_[0] - vX_[623]) + vX_[142] * vX_[27] + vX_[140] * vX_[720] + vX_[187] * vX_[1110] + vX_[189] * vX_[685] + (vX_[154] * vX_[738]) / vX_[156];
+ vX_[18] = 3.146 * vX_[18] + vX_[1037] * vX_[27] + vX_[142] * vX_[720] + vX_[189] * vX_[1110] + vX_[188] * vX_[685] + (vX_[164] * vX_[738]) / vX_[156];
+ vX_[720] = (- vX_[1616]) * x_in[30];
+ vX_[27] = vX_[1615] * x_in[30];
+ vX_[0] = vX_[622] * vX_[1616];
+ vX_[962] = vX_[1015] * vX_[471] - vX_[1021] * vX_[29];
+ vX_[100] = vX_[1188] * vX_[100] - vX_[868] * vX_[793];
+ vX_[793] = 0 - vX_[1006] * vX_[58] - vX_[1024] * vX_[1632] - vX_[1026] * vX_[962] - vX_[1045] * vX_[471] - vX_[1052] * vX_[29] - vX_[1057] * vX_[59] - 0.110125 * vX_[100];
+ vX_[962] = -0.000881 * vX_[100] - vX_[1028] * vX_[58] - vX_[1029] * vX_[1632] - vX_[1060] * vX_[962] - vX_[1067] * vX_[471] - vX_[1074] * vX_[29] - vX_[1078] * vX_[59];
+ vX_[100] = 0.881 * vX_[100] - vX_[840] * vX_[471] - vX_[137] * vX_[29];
+ vX_[82] = vX_[712] * vX_[82] - vX_[959] * vX_[21];
+ vX_[21] = vX_[142] * vX_[793] + vX_[140] * vX_[962] + -0.35 * vX_[100] + vX_[161] * vX_[1110] + vX_[167] * vX_[685] + (2.1e-05 * vX_[738]) / vX_[156] - 0.47422804 * vX_[82];
+ vX_[962] = 0.0825825 * vX_[82] + vX_[152] * vX_[793] + vX_[142] * vX_[962] + vX_[158] * vX_[1110] + vX_[166] * vX_[685] + (-0.000102 * vX_[738]) / vX_[156];
+ vX_[82] = 3.146 * vX_[82] + vX_[100];
+ vX_[100] = 0.1466472 * vX_[0] + vX_[139] * vX_[21] + vX_[159] * vX_[962] + -0.08 * vX_[82];
+ vX_[793] = 0 - vX_[100];
+ vX_[471] = vX_[973] * vX_[1615] - vX_[660] * vX_[1616];
+ vX_[1141] = -0.5824264 * vX_[12] + vX_[790] * vX_[623] + vX_[177] * vX_[18] + -1 * (vX_[1141] + (vX_[156] * vX_[738]) / vX_[156]) + vX_[241] * vX_[720] + vX_[230] * vX_[27] + (vX_[240] * vX_[793]) / vX_[203] - 0.1466472 * vX_[471];
+ vX_[962] = -0.5824264 * (0 - vX_[0]) + vX_[160] * vX_[21] + vX_[139] * vX_[962] + vX_[231] * vX_[720] + vX_[205] * vX_[27] + (vX_[198] * vX_[793]) / vX_[203];
+ vX_[471] = 3.44 * vX_[471] + vX_[139] * vX_[623] + vX_[159] * vX_[18] + vX_[234] * vX_[720] + vX_[227] * vX_[27] + (vX_[225] * vX_[793]) / vX_[203];
+ vX_[82] = -3.44 * (0 - vX_[0]) + -1 * vX_[82] + vX_[233] * vX_[720] + vX_[219] * vX_[27] + (vX_[217] * vX_[793]) / vX_[203];
+ vX_[18] = 3.44 * vX_[12] + vX_[1079] * vX_[623] + vX_[139] * vX_[18] + vX_[219] * vX_[720] + vX_[245] * vX_[27] + (vX_[201] * vX_[793]) / vX_[203];
+ vX_[623] = 0 - vX_[1441] * vX_[249];
+ vX_[12] = vX_[250] * vX_[328];
+ vX_[0] = vX_[847] * vX_[12];
+ vX_[21] = vX_[1190] * vX_[249];
+ vX_[29] = vX_[1319] * vX_[328];
+ vX_[1632] = vX_[253] * vX_[29] + vX_[251] * vX_[12];
+ vX_[58] = vX_[953] * vX_[1632];
+ vX_[59] = vX_[700] * vX_[249];
+ vX_[769] = -1000. * vX_[1153] * vX_[1228];
+ vX_[774] = -1000. * vX_[1117] * vX_[1228];
+ vX_[733] = -1000. * vX_[1245] * vX_[1228];
+ vX_[126] = vX_[1103] * vX_[769] + vX_[1243] * vX_[774] + vX_[1248] * vX_[733];
+ vX_[691] = vX_[1254] * vX_[769] + vX_[1232] * vX_[774] + vX_[1241] * vX_[733];
+ vX_[876] = vX_[1081] * vX_[126] - vX_[1251] * vX_[691];
+ vX_[733] = vX_[740] * vX_[769] + vX_[1102] * vX_[774] + vX_[1253] * vX_[733];
+ vX_[774] = vX_[1257] * vX_[691] - vX_[1081] * vX_[733];
+ vX_[769] = vX_[251] * vX_[29] + vX_[1276] * vX_[12];
+ vX_[669] = vX_[1084] * vX_[249] - vX_[953] * vX_[769];
+ vX_[663] = 0.1104774 * (vX_[58] - vX_[59]) - vX_[328] * vX_[876] - vX_[249] * vX_[774] - vX_[1105] * vX_[733] - vX_[1230] * vX_[126] - vX_[1235] * vX_[691] - 0.0004405 * vX_[669];
+ vX_[628] = 0 - vX_[663];
+ vX_[1201] = (- vX_[1632]) * x_in[29];
+ vX_[869] = vX_[769] * x_in[29];
+ vX_[501] = -0.881 * (vX_[59] - vX_[58]) + 0.414812462825713 * vX_[1201] + 0.00185880198235362 * vX_[869] + (0.1104774 * vX_[628]) / 0.026181 - vX_[1258] * vX_[733] - vX_[1263] * vX_[126] - vX_[1265] * vX_[691];
+ vX_[544] = 0.881 * vX_[669] + 0.00185880198235362 * vX_[1201] + 0.880992588508842 * vX_[869] + (-0.0004405 * vX_[628]) / 0.026181 - vX_[1267] * vX_[733] - vX_[1269] * vX_[126] - vX_[1271] * vX_[691];
+ vX_[66] = vX_[1328] * vX_[249] - vX_[847] * vX_[29];
+ vX_[663] = 0.47422804 * (vX_[0] - vX_[21]) + (0.026181 * vX_[628]) / 0.026181 + vX_[663] + vX_[1252] * vX_[501] + vX_[256] * vX_[544] - -0.0825825 * vX_[66];
+ vX_[5] = 0 - vX_[663];
+ vX_[599] = (- vX_[12]) * x_in[28];
+ vX_[600] = vX_[29] * x_in[28];
+ vX_[21] = -3.146 * (vX_[21] - vX_[0]) + vX_[251] * vX_[501] + vX_[253] * vX_[544] + vX_[308] * vX_[599] + vX_[310] * vX_[600] + (vX_[272] * vX_[5]) / vX_[274];
+ vX_[66] = 3.146 * vX_[66] + vX_[1276] * vX_[501] + vX_[251] * vX_[544] + vX_[310] * vX_[599] + vX_[309] * vX_[600] + (vX_[285] * vX_[5]) / vX_[274];
+ vX_[544] = (- vX_[328]) * x_in[27];
+ vX_[501] = vX_[249] * x_in[27];
+ vX_[0] = vX_[1441] * vX_[328];
+ vX_[974] = vX_[1251] * vX_[733] - vX_[1257] * vX_[126];
+ vX_[769] = vX_[700] * vX_[769] - vX_[1084] * vX_[1632];
+ vX_[669] = -8.81e-05 * vX_[669] + -8.81e-05 * vX_[869] - vX_[1258] * vX_[876] - vX_[1262] * vX_[774] - vX_[1264] * vX_[974] - vX_[1285] * vX_[733] - vX_[1292] * vX_[126] - vX_[1297] * vX_[691] - 0.1104774 * vX_[769];
+ vX_[974] = 0.0004405 * vX_[769] + -8.81e-05 * (vX_[59] - vX_[58]) + 8.81e-05 * vX_[1201] - vX_[1267] * vX_[876] - vX_[1269] * vX_[774] - vX_[1271] * vX_[974] - vX_[1305] * vX_[733] - vX_[1312] * vX_[126] - vX_[1317] * vX_[691];
+ vX_[769] = 0.881 * vX_[769] - vX_[328] * vX_[733] - vX_[249] * vX_[126];
+ vX_[29] = vX_[1190] * vX_[29] - vX_[1328] * vX_[12];
+ vX_[12] = vX_[251] * vX_[669] + vX_[253] * vX_[974] + -0.35 * vX_[769] + vX_[282] * vX_[599] + vX_[288] * vX_[600] + (vX_[281] * vX_[5]) / vX_[274] - 0.47422804 * vX_[29];
+ vX_[974] = -0.0825825 * vX_[29] + vX_[254] * vX_[669] + vX_[251] * vX_[974] + vX_[276] * vX_[599] + vX_[287] * vX_[600] + (vX_[262] * vX_[5]) / vX_[274];
+ vX_[29] = 3.146 * vX_[29] + vX_[769];
+ vX_[769] = 0.1466472 * vX_[0] + vX_[297] * vX_[12] + vX_[278] * vX_[974] + 0.08 * vX_[29];
+ vX_[669] = 0 - vX_[769];
+ vX_[733] = vX_[1198] * vX_[249] - vX_[1327] * vX_[328];
+ vX_[663] = -0.5824264 * vX_[623] + (vX_[274] * vX_[5]) / vX_[274] + vX_[663] + vX_[1274] * vX_[21] + vX_[299] * vX_[66] + vX_[361] * vX_[544] + vX_[350] * vX_[501] + (vX_[360] * vX_[669]) / vX_[324] - 0.1466472 * vX_[733];
+ vX_[974] = -0.5824264 * (0 - vX_[0]) + vX_[278] * vX_[12] + vX_[250] * vX_[974] + vX_[351] * vX_[544] + vX_[326] * vX_[501] + (vX_[319] * vX_[669]) / vX_[324];
+ vX_[733] = 3.44 * vX_[733] + vX_[1229] * vX_[21] + vX_[698] * vX_[66] + vX_[354] * vX_[544] + vX_[347] * vX_[501] + (vX_[345] * vX_[669]) / vX_[324];
+ vX_[29] = -3.44 * (0 - vX_[0]) + vX_[29] + vX_[353] * vX_[544] + vX_[339] * vX_[501] + (vX_[337] * vX_[669]) / vX_[324];
+ vX_[66] = 3.44 * vX_[623] + vX_[1319] * vX_[21] + vX_[250] * vX_[66] + vX_[339] * vX_[544] + vX_[365] * vX_[501] + (vX_[322] * vX_[669]) / vX_[324];
+ vX_[21] = 0 - vX_[1272] * vX_[1617];
+ vX_[623] = -1 * vX_[1617];
+ vX_[0] = vX_[877] * vX_[623];
+ vX_[12] = vX_[371] * vX_[1618];
+ vX_[126] = vX_[849] * vX_[12];
+ vX_[774] = vX_[1147] * vX_[623];
+ vX_[876] = vX_[1562] * vX_[1618];
+ vX_[691] = vX_[374] * vX_[876] + vX_[372] * vX_[12];
+ vX_[59] = vX_[593] * vX_[691];
+ vX_[58] = (- vX_[691]) * x_in[26];
+ vX_[1632] = vX_[372] * vX_[876] + vX_[1520] * vX_[12];
+ vX_[747] = vX_[1632] * x_in[26];
+ vX_[646] = -1000. * vX_[1399] * vX_[1474];
+ vX_[784] = -1000. * vX_[1364] * vX_[1474];
+ vX_[732] = -1000. * vX_[1492] * vX_[1474];
+ vX_[724] = vX_[1347] * vX_[646] + vX_[1490] * vX_[784] + vX_[1495] * vX_[732];
+ vX_[489] = vX_[1501] * vX_[646] + vX_[1475] * vX_[784] + vX_[1488] * vX_[732];
+ vX_[681] = vX_[1325] * vX_[724] - vX_[1498] * vX_[489];
+ vX_[732] = vX_[1356] * vX_[646] + vX_[1346] * vX_[784] + vX_[1500] * vX_[732];
+ vX_[784] = vX_[1504] * vX_[489] - vX_[1325] * vX_[732];
+ vX_[646] = vX_[1392] * vX_[623] - vX_[593] * vX_[1632];
+ vX_[1677] = 0.1104774 * (vX_[59] - vX_[774]) - vX_[1321] * vX_[681] - vX_[369] * vX_[784] - vX_[1348] * vX_[732] - vX_[1477] * vX_[724] - vX_[1482] * vX_[489] - 0.0004405 * vX_[646];
+ vX_[93] = 0 - vX_[1677];
+ vX_[605] = -0.881 * (vX_[774] - vX_[59]) + 0.414812462825713 * vX_[58] + 0.00185880198235362 * vX_[747] + (0.1104774 * vX_[93]) / 0.026181 - vX_[1489] * vX_[732] - vX_[1507] * vX_[724] - vX_[1508] * vX_[489];
+ vX_[36] = 0.881 * vX_[646] + 0.00185880198235362 * vX_[58] + 0.880992588508842 * vX_[747] + (-0.0004405 * vX_[93]) / 0.026181 - vX_[1511] * vX_[732] - vX_[1512] * vX_[724] - vX_[1515] * vX_[489];
+ vX_[22] = (- vX_[12]) * x_in[25];
+ vX_[606] = vX_[876] * x_in[25];
+ vX_[623] = vX_[866] * vX_[623] - vX_[849] * vX_[876];
+ vX_[1677] = 0.47422804 * (vX_[126] - vX_[0]) + (0.026181 * vX_[93]) / 0.026181 + vX_[1677] + vX_[1517] * vX_[605] + vX_[377] * vX_[36] - -0.0825825 * vX_[623];
+ vX_[536] = 0 - vX_[1677];
+ vX_[126] = -3.146 * (vX_[0] - vX_[126]) + vX_[372] * vX_[605] + vX_[374] * vX_[36] + vX_[429] * vX_[22] + vX_[431] * vX_[606] + (vX_[393] * vX_[536]) / vX_[395];
+ vX_[623] = 3.146 * vX_[623] + vX_[1520] * vX_[605] + vX_[372] * vX_[36] + vX_[431] * vX_[22] + vX_[430] * vX_[606] + (vX_[406] * vX_[536]) / vX_[395];
+ vX_[36] = (- vX_[1618]) * x_in[24];
+ vX_[605] = vX_[1617] * x_in[24];
+ vX_[0] = vX_[1272] * vX_[1618];
+ vX_[752] = vX_[1498] * vX_[732] - vX_[1504] * vX_[724];
+ vX_[1632] = vX_[1147] * vX_[1632] - vX_[1392] * vX_[691];
+ vX_[646] = -8.81e-05 * vX_[646] + -8.81e-05 * vX_[747] - vX_[1521] * vX_[681] - vX_[1507] * vX_[784] - vX_[1508] * vX_[752] - vX_[1529] * vX_[732] - vX_[1536] * vX_[724] - vX_[1541] * vX_[489] - 0.1104774 * vX_[1632];
+ vX_[752] = 0.0004405 * vX_[1632] + -8.81e-05 * (vX_[774] - vX_[59]) + 8.81e-05 * vX_[58] - vX_[1510] * vX_[681] - vX_[1512] * vX_[784] - vX_[1514] * vX_[752] - vX_[1550] * vX_[732] - vX_[1557] * vX_[724] - vX_[1561] * vX_[489];
+ vX_[1632] = 0.881 * vX_[1632] - vX_[1326] * vX_[732] - vX_[369] * vX_[724];
+ vX_[876] = vX_[877] * vX_[876] - vX_[866] * vX_[12];
+ vX_[12] = vX_[372] * vX_[646] + vX_[374] * vX_[752] + -0.35 * vX_[1632] + vX_[403] * vX_[22] + vX_[409] * vX_[606] + (vX_[402] * vX_[536]) / vX_[395] - 0.47422804 * vX_[876];
+ vX_[752] = -0.0825825 * vX_[876] + vX_[375] * vX_[646] + vX_[372] * vX_[752] + vX_[397] * vX_[22] + vX_[408] * vX_[606] + (vX_[383] * vX_[536]) / vX_[395];
+ vX_[876] = 3.146 * vX_[876] + vX_[1632];
+ vX_[1632] = 0.1466472 * vX_[0] + vX_[371] * vX_[12] + vX_[398] * vX_[752] + -0.08 * vX_[876];
+ vX_[646] = 0 - vX_[1632];
+ vX_[732] = vX_[1331] * vX_[1617] - vX_[597] * vX_[1618];
+ vX_[1677] = 0.5824264 * vX_[21] + vX_[1275] * vX_[126] + vX_[419] * vX_[623] + -1 * (vX_[1677] + (vX_[395] * vX_[536]) / vX_[395]) + vX_[483] * vX_[36] + vX_[472] * vX_[605] + (vX_[482] * vX_[646]) / vX_[445] - 0.1466472 * vX_[732];
+ vX_[752] = 0.5824264 * (0 - vX_[0]) + vX_[399] * vX_[12] + vX_[371] * vX_[752] + vX_[473] * vX_[36] + vX_[447] * vX_[605] + (vX_[440] * vX_[646]) / vX_[445];
+ vX_[732] = 3.44 * vX_[732] + vX_[371] * vX_[126] + vX_[398] * vX_[623] + vX_[476] * vX_[36] + vX_[469] * vX_[605] + (vX_[467] * vX_[646]) / vX_[445];
+ vX_[876] = -3.44 * (0 - vX_[0]) + -1 * vX_[876] + vX_[475] * vX_[36] + vX_[461] * vX_[605] + (vX_[459] * vX_[646]) / vX_[445];
+ vX_[623] = 3.44 * vX_[21] + vX_[1562] * vX_[126] + vX_[371] * vX_[623] + vX_[461] * vX_[36] + vX_[487] * vX_[605] + (vX_[443] * vX_[646]) / vX_[445];
+ vX_[126] = 0 - x_in[20];
+ vX_[1632] = (-0.0053433 * x_in[18] + (vX_[92] * vX_[775]) / vX_[92] + vX_[640] + vX_[136] * vX_[19] + vX_[95] * vX_[106] + vX_[248] * vX_[82] + vX_[206] * vX_[18] + -1 * (vX_[100] + (vX_[203] * vX_[793]) / vX_[203]) + (vX_[324] * vX_[669]) / vX_[324] + vX_[769] + vX_[368] * vX_[29] + vX_[327] * vX_[66] + vX_[1573] * vX_[876] + vX_[448] * vX_[623] + -1 * (vX_[1632] + (vX_[445] * vX_[646]) / vX_[445])) / vX_[583];
+ vX_[769] = (2.0678571 * vX_[126] + vX_[26] * vX_[736] + vX_[96] * vX_[631] + vX_[97] * vX_[19] + vX_[1569] * vX_[106] + vX_[138] * vX_[1141] + vX_[209] * vX_[962] + vX_[210] * vX_[82] + vX_[1570] * vX_[18] + vX_[249] * vX_[663] + vX_[328] * vX_[974] + vX_[329] * vX_[29] + vX_[1571] * vX_[66] + vX_[370] * vX_[1677] + vX_[451] * vX_[752] + vX_[452] * vX_[876] + vX_[1572] * vX_[623] - -1.1915559 * x_in[18] - vX_[1566] * vX_[1632]) / vX_[580];
+ vX_[752] = (vX_[96] * vX_[736] + vX_[98] * vX_[631] + 0.207 * vX_[729] + vX_[99] * vX_[19] + vX_[834] * vX_[106] + vX_[208] * vX_[1141] + vX_[138] * vX_[962] + 0.207 * vX_[471] + vX_[211] * vX_[82] + vX_[998] * vX_[18] + vX_[328] * vX_[663] + vX_[330] * vX_[974] + 0.207 * vX_[733] + vX_[331] * vX_[29] + vX_[1318] * vX_[66] + vX_[450] * vX_[1677] + vX_[370] * vX_[752] + 0.207 * vX_[732] + vX_[453] * vX_[876] + vX_[1481] * vX_[623] - -0.0053433 * vX_[126] - vX_[1568] * vX_[769] - vX_[490] * vX_[1632]) / vX_[582];
+ vX_[126] = (53.433 * vX_[126] + vX_[729] + -1 * vX_[471] + vX_[733] + -1 * vX_[732] - vX_[1610] * vX_[769] - vX_[1630] * vX_[1632] - vX_[1627] * vX_[752]) / vX_[1657];
+ vX_[732] = (vX_[26] * vX_[19] + vX_[96] * vX_[106] + vX_[1615] * vX_[82] + vX_[1616] * vX_[18] + vX_[249] * vX_[29] + vX_[328] * vX_[66] + vX_[1617] * vX_[876] + vX_[1618] * vX_[623] - vX_[1587] * vX_[769] - vX_[1611] * vX_[1632] - vX_[1575] * vX_[752] - vX_[1629] * vX_[126]) / vX_[1654];
+ vX_[623] = (53.433 * x_in[18] + vX_[96] * vX_[19] + vX_[1667] * vX_[106] + vX_[208] * vX_[82] + vX_[1668] * vX_[18] + vX_[328] * vX_[29] + vX_[1669] * vX_[66] + vX_[450] * vX_[876] + vX_[1670] * vX_[623] - vX_[748] * vX_[769] - vX_[1626] * vX_[1632] - vX_[484] * vX_[752] - vX_[1664] * vX_[126] - vX_[1584] * vX_[732]) / vX_[1656];
+ jac[815] = - vX_[623];
+ vX_[732] = vX_[732] - vX_[1666] * vX_[623];
+ jac[814] = - vX_[732];
+ vX_[126] = vX_[126] - vX_[1665] * vX_[623] - vX_[1599] * vX_[732];
+ jac[813] = - vX_[126];
+ vX_[752] = vX_[752] - vX_[1614] * vX_[732] - vX_[1628] * vX_[126] - vX_[1660] * vX_[623];
+ jac[812] = - vX_[752];
+ vX_[769] = vX_[769] - vX_[1619] * vX_[126] - vX_[1565] * vX_[752] - vX_[1613] * vX_[732] - vX_[1659] * vX_[623];
+ jac[810] = vX_[584] * vX_[752] + vX_[1567] * vX_[769] + vX_[1593] * vX_[126] + vX_[1612] * vX_[732] + vX_[1658] * vX_[623] - vX_[1632];
+ jac[811] = - vX_[769];
+ vX_[769] = -1 * jac[810];
+ vX_[752] = vX_[450] * jac[812] + vX_[370] * jac[811];
+ vX_[126] = vX_[370] * jac[812] + vX_[451] * jac[811];
+ vX_[732] = -1 * jac[813];
+ vX_[623] = 0.207 * jac[812] + vX_[732];
+ vX_[605] = vX_[1481] * jac[812] + vX_[1572] * jac[811] + vX_[448] * jac[810] + vX_[1670] * jac[815] + vX_[1618] * jac[814] + vX_[605];
+ jac[816] = (vX_[646] - vX_[445] * vX_[769] - vX_[482] * vX_[752] - vX_[440] * vX_[126] - vX_[467] * vX_[623] - vX_[459] * (vX_[453] * jac[812] + vX_[452] * jac[811] + vX_[1573] * jac[810] + vX_[450] * jac[815] + vX_[1617] * jac[814] + vX_[36]) - vX_[443] * vX_[605]) / vX_[445];
+ vX_[646] = -1 * vX_[752];
+ vX_[36] = vX_[769] + jac[816];
+ vX_[22] = vX_[371] * vX_[623] + vX_[1562] * vX_[605] + vX_[1275] * vX_[752] + vX_[22];
+ vX_[605] = vX_[398] * vX_[623] + vX_[371] * vX_[605] + vX_[419] * vX_[752] + vX_[606];
+ jac[817] = (vX_[536] - vX_[395] * vX_[646] - vX_[402] * (vX_[371] * vX_[36] + vX_[399] * vX_[126]) - vX_[383] * (vX_[398] * vX_[36] + vX_[371] * vX_[126]) - vX_[393] * vX_[22] - vX_[406] * vX_[605]) / vX_[395];
+ vX_[646] = vX_[646] + jac[817];
+ jac[818] = (vX_[93] - 0.1104774 * (vX_[372] * vX_[22] + vX_[1520] * vX_[605] + vX_[1517] * vX_[646] + vX_[58]) - -0.0004405 * (vX_[374] * vX_[22] + vX_[372] * vX_[605] + vX_[377] * vX_[646] + vX_[747]) - 0.026181 * vX_[646]) / 0.026181;
+ vX_[646] = vX_[328] * jac[812] + vX_[249] * jac[811];
+ vX_[605] = vX_[330] * jac[812] + vX_[328] * jac[811];
+ vX_[22] = 0.207 * jac[812] + jac[813];
+ vX_[501] = vX_[1318] * jac[812] + vX_[1571] * jac[811] + vX_[327] * jac[810] + vX_[1669] * jac[815] + vX_[328] * jac[814] + vX_[501];
+ jac[819] = (vX_[669] - vX_[324] * jac[810] - vX_[360] * vX_[646] - vX_[319] * vX_[605] - vX_[345] * vX_[22] - vX_[337] * (vX_[331] * jac[812] + vX_[329] * jac[811] + vX_[368] * jac[810] + vX_[328] * jac[815] + vX_[249] * jac[814] + vX_[544]) - vX_[322] * vX_[501]) / vX_[324];
+ vX_[669] = jac[810] + jac[819];
+ vX_[599] = vX_[1229] * vX_[22] + vX_[1319] * vX_[501] + vX_[1274] * vX_[646] + vX_[599];
+ vX_[501] = vX_[698] * vX_[22] + vX_[250] * vX_[501] + vX_[299] * vX_[646] + vX_[600];
+ jac[820] = (vX_[5] - vX_[274] * vX_[646] - vX_[281] * (vX_[297] * vX_[669] + vX_[278] * vX_[605]) - vX_[262] * (vX_[278] * vX_[669] + vX_[250] * vX_[605]) - vX_[272] * vX_[599] - vX_[285] * vX_[501]) / vX_[274];
+ vX_[646] = vX_[646] + jac[820];
+ jac[821] = (vX_[628] - 0.1104774 * (vX_[251] * vX_[599] + vX_[1276] * vX_[501] + vX_[1252] * vX_[646] + vX_[1201]) - -0.0004405 * (vX_[253] * vX_[599] + vX_[251] * vX_[501] + vX_[256] * vX_[646] + vX_[869]) - 0.026181 * vX_[646]) / 0.026181;
+ vX_[646] = vX_[208] * jac[812] + vX_[138] * jac[811];
+ vX_[501] = vX_[138] * jac[812] + vX_[209] * jac[811];
+ vX_[732] = 0.207 * jac[812] + vX_[732];
+ vX_[27] = vX_[998] * jac[812] + vX_[1570] * jac[811] + vX_[206] * jac[810] + vX_[1668] * jac[815] + vX_[1616] * jac[814] + vX_[27];
+ jac[822] = (vX_[793] - vX_[203] * vX_[769] - vX_[240] * vX_[646] - vX_[198] * vX_[501] - vX_[225] * vX_[732] - vX_[217] * (vX_[211] * jac[812] + vX_[210] * jac[811] + vX_[248] * jac[810] + vX_[208] * jac[815] + vX_[1615] * jac[814] + vX_[720]) - vX_[201] * vX_[27]) / vX_[203];
+ vX_[793] = -1 * vX_[646];
+ vX_[769] = vX_[769] + jac[822];
+ vX_[1110] = vX_[139] * vX_[732] + vX_[1079] * vX_[27] + vX_[790] * vX_[646] + vX_[1110];
+ vX_[27] = vX_[159] * vX_[732] + vX_[139] * vX_[27] + vX_[177] * vX_[646] + vX_[685];
+ jac[823] = (vX_[738] - vX_[156] * vX_[793] - 2.1e-05 * (vX_[139] * vX_[769] + vX_[160] * vX_[501]) - -0.000102 * (vX_[159] * vX_[769] + vX_[139] * vX_[501]) - vX_[154] * vX_[1110] - vX_[164] * vX_[27]) / vX_[156];
+ vX_[793] = vX_[793] + jac[823];
+ jac[824] = (vX_[492] - 0.110125 * (vX_[142] * vX_[1110] + vX_[1037] * vX_[27] + vX_[1034] * vX_[793] + vX_[11]) - 0.000881 * (vX_[140] * vX_[1110] + vX_[142] * vX_[27] + vX_[141] * vX_[793] + vX_[1353]) - 0.026181 * vX_[793]) / 0.026181;
+ vX_[793] = vX_[96] * jac[812] + vX_[26] * jac[811];
+ vX_[27] = vX_[98] * jac[812] + vX_[96] * jac[811];
+ vX_[1110] = 0.207 * jac[812] + jac[813];
+ vX_[671] = vX_[834] * jac[812] + vX_[1569] * jac[811] + vX_[95] * jac[810] + vX_[1667] * jac[815] + vX_[96] * jac[814] + vX_[671];
+ jac[825] = (vX_[775] - vX_[92] * jac[810] - vX_[128] * vX_[793] - vX_[87] * vX_[27] - vX_[113] * vX_[1110] - vX_[105] * (vX_[99] * jac[812] + vX_[97] * jac[811] + vX_[136] * jac[810] + vX_[96] * jac[815] + vX_[26] * jac[814] + vX_[844]) - vX_[90] * vX_[671]) / vX_[92];
+ vX_[775] = jac[810] + jac[825];
+ vX_[576] = vX_[746] * vX_[1110] + vX_[835] * vX_[671] + vX_[789] * vX_[793] + vX_[576];
+ vX_[671] = vX_[613] * vX_[1110] + vX_[13] * vX_[671] + vX_[67] * vX_[793] + vX_[634];
+ jac[826] = (vX_[728] - vX_[42] * vX_[793] - vX_[49] * (vX_[65] * vX_[775] + vX_[46] * vX_[27]) - vX_[30] * (vX_[46] * vX_[775] + vX_[13] * vX_[27]) - vX_[40] * vX_[576] - vX_[53] * vX_[671]) / vX_[42];
+ vX_[793] = vX_[793] + jac[826];
+ jac[827] = (vX_[61] - 0.1104774 * (vX_[15] * vX_[576] + vX_[791] * vX_[671] + vX_[766] * vX_[793] + vX_[79]) - 0.0004405 * (vX_[23] * vX_[576] + vX_[15] * vX_[671] + vX_[25] * vX_[793] + vX_[911]) - 0.026181 * vX_[793]) / 0.026181;
+ vX_[793] = 0 - vX_[892] * vX_[96];
+ vX_[671] = vX_[13] * vX_[1667];
+ vX_[576] = vX_[625] * vX_[671];
+ vX_[911] = vX_[1199] * vX_[96];
+ vX_[79] = vX_[835] * vX_[1667];
+ vX_[61] = vX_[23] * vX_[79] + vX_[15] * vX_[671];
+ vX_[775] = vX_[855] * vX_[61];
+ vX_[27] = vX_[621] * vX_[96];
+ vX_[728] = -1000. * vX_[627] * vX_[739];
+ vX_[1110] = -1000. * vX_[661] * vX_[739];
+ vX_[634] = -1000. * vX_[688] * vX_[739];
+ vX_[844] = vX_[609] * vX_[728] + vX_[757] * vX_[1110] + vX_[762] * vX_[634];
+ vX_[492] = vX_[768] * vX_[728] + vX_[706] * vX_[1110] + vX_[755] * vX_[634];
+ vX_[1353] = vX_[587] * vX_[844] - vX_[765] * vX_[492];
+ vX_[634] = vX_[618] * vX_[728] + vX_[608] * vX_[1110] + vX_[767] * vX_[634];
+ vX_[1110] = vX_[771] * vX_[492] - vX_[587] * vX_[634];
+ vX_[728] = vX_[15] * vX_[79] + vX_[791] * vX_[671];
+ vX_[11] = vX_[1211] * vX_[96] - vX_[855] * vX_[728];
+ vX_[769] = 0.1104774 * (vX_[775] - vX_[27]) - vX_[96] * vX_[1353] - vX_[26] * vX_[1110] - vX_[610] * vX_[634] - vX_[742] * vX_[844] - vX_[749] * vX_[492] - -0.0004405 * vX_[11];
+ vX_[501] = 0 - vX_[769];
+ vX_[738] = (- vX_[61]) * x_in[35];
+ vX_[732] = vX_[728] * x_in[35];
+ vX_[646] = -0.881 * (vX_[27] - vX_[775]) + 0.414812462825713 * vX_[738] + -0.00185880198235362 * vX_[732] + (0.1104774 * vX_[501]) / 0.026181 - vX_[772] * vX_[634] - vX_[777] * vX_[844] - vX_[778] * vX_[492];
+ vX_[685] = 0.881 * vX_[11] + -0.00185880198235362 * vX_[738] + 0.880992588508842 * vX_[732] + (0.0004405 * vX_[501]) / 0.026181 - vX_[781] * vX_[634] - vX_[783] * vX_[844] - vX_[786] * vX_[492];
+ vX_[720] = vX_[1661] * vX_[96] - vX_[625] * vX_[79];
+ vX_[769] = 0.47422804 * (vX_[576] - vX_[911]) + (0.026181 * vX_[501]) / 0.026181 + vX_[769] + vX_[766] * vX_[646] + vX_[25] * vX_[685] - 0.0825825 * vX_[720];
+ vX_[599] = 0 - vX_[769];
+ vX_[869] = (- vX_[671]) * x_in[34];
+ vX_[1201] = vX_[79] * x_in[34];
+ vX_[911] = -3.146 * (vX_[911] - vX_[576]) + vX_[15] * vX_[646] + vX_[23] * vX_[685] + vX_[76] * vX_[869] + vX_[78] * vX_[1201] + (vX_[40] * vX_[599]) / vX_[42];
+ vX_[720] = 3.146 * vX_[720] + vX_[791] * vX_[646] + vX_[15] * vX_[685] + vX_[78] * vX_[869] + vX_[77] * vX_[1201] + (vX_[53] * vX_[599]) / vX_[42];
+ vX_[685] = (- vX_[1667]) * x_in[33];
+ vX_[646] = vX_[96] * x_in[33];
+ vX_[576] = vX_[892] * vX_[1667];
+ vX_[628] = vX_[765] * vX_[634] - vX_[771] * vX_[844];
+ vX_[728] = vX_[621] * vX_[728] - vX_[1211] * vX_[61];
+ vX_[11] = 8.81e-05 * vX_[11] + 8.81e-05 * vX_[732] - vX_[772] * vX_[1353] - vX_[776] * vX_[1110] - vX_[778] * vX_[628] - vX_[800] * vX_[634] - vX_[807] * vX_[844] - vX_[812] * vX_[492] - 0.1104774 * vX_[728];
+ vX_[628] = -0.0004405 * vX_[728] + 8.81e-05 * (vX_[27] - vX_[775]) + -8.81e-05 * vX_[738] - vX_[780] * vX_[1353] - vX_[783] * vX_[1110] - vX_[785] * vX_[628] - vX_[821] * vX_[634] - vX_[828] * vX_[844] - vX_[833] * vX_[492];
+ vX_[728] = 0.881 * vX_[728] - vX_[96] * vX_[634] - vX_[26] * vX_[844];
+ vX_[79] = vX_[1199] * vX_[79] - vX_[1661] * vX_[671];
+ vX_[671] = vX_[15] * vX_[11] + vX_[23] * vX_[628] + -0.35 * vX_[728] + vX_[50] * vX_[869] + vX_[56] * vX_[1201] + (vX_[49] * vX_[599]) / vX_[42] - 0.47422804 * vX_[79];
+ vX_[628] = 0.0825825 * vX_[79] + vX_[20] * vX_[11] + vX_[15] * vX_[628] + vX_[44] * vX_[869] + vX_[55] * vX_[1201] + (vX_[30] * vX_[599]) / vX_[42];
+ vX_[79] = 3.146 * vX_[79] + vX_[728];
+ vX_[728] = 0.1466472 * vX_[576] + vX_[65] * vX_[671] + vX_[46] * vX_[628] + 0.08 * vX_[79];
+ vX_[11] = 0 - vX_[728];
+ vX_[634] = vX_[1148] * vX_[96] - vX_[1113] * vX_[1667];
+ vX_[769] = 0.5824264 * vX_[793] + (vX_[42] * vX_[599]) / vX_[42] + vX_[769] + vX_[789] * vX_[911] + vX_[67] * vX_[720] + vX_[129] * vX_[685] + vX_[118] * vX_[646] + (vX_[128] * vX_[11]) / vX_[92] - 0.1466472 * vX_[634];
+ vX_[628] = 0.5824264 * (0 - vX_[576]) + vX_[46] * vX_[671] + vX_[13] * vX_[628] + vX_[119] * vX_[685] + vX_[94] * vX_[646] + (vX_[87] * vX_[11]) / vX_[92];
+ vX_[634] = 3.44 * vX_[634] + vX_[746] * vX_[911] + vX_[613] * vX_[720] + vX_[122] * vX_[685] + vX_[115] * vX_[646] + (vX_[113] * vX_[11]) / vX_[92];
+ vX_[79] = -3.44 * (0 - vX_[576]) + vX_[79] + vX_[121] * vX_[685] + vX_[107] * vX_[646] + (vX_[105] * vX_[11]) / vX_[92];
+ vX_[720] = 3.44 * vX_[793] + vX_[835] * vX_[911] + vX_[13] * vX_[720] + vX_[107] * vX_[685] + vX_[133] * vX_[646] + (vX_[90] * vX_[11]) / vX_[92];
+ vX_[911] = 0 - vX_[622] * vX_[208];
+ vX_[793] = -1 * vX_[208];
+ vX_[576] = vX_[712] * vX_[793];
+ vX_[671] = vX_[139] * vX_[1668];
+ vX_[844] = vX_[711] * vX_[671];
+ vX_[1110] = vX_[1188] * vX_[793];
+ vX_[1353] = vX_[1079] * vX_[1668];
+ vX_[492] = vX_[140] * vX_[1353] + vX_[142] * vX_[671];
+ vX_[27] = vX_[788] * vX_[492];
+ vX_[775] = (- vX_[492]) * x_in[32];
+ vX_[61] = vX_[142] * vX_[1353] + vX_[1037] * vX_[671];
+ vX_[669] = vX_[61] * x_in[32];
+ vX_[605] = -1000. * vX_[879] * vX_[991];
+ vX_[5] = -1000. * vX_[915] * vX_[991];
+ vX_[22] = -1000. * vX_[941] * vX_[991];
+ vX_[600] = vX_[861] * vX_[605] + vX_[1007] * vX_[5] + vX_[1012] * vX_[22];
+ vX_[544] = vX_[1018] * vX_[605] + vX_[992] * vX_[5] + vX_[1005] * vX_[22];
+ vX_[93] = vX_[839] * vX_[600] - vX_[1015] * vX_[544];
+ vX_[22] = vX_[870] * vX_[605] + vX_[860] * vX_[5] + vX_[1017] * vX_[22];
+ vX_[5] = vX_[1021] * vX_[544] - vX_[839] * vX_[22];
+ vX_[605] = vX_[868] * vX_[793] - vX_[788] * vX_[61];
+ vX_[747] = 0.110125 * (vX_[27] - vX_[1110]) - vX_[836] * vX_[93] - vX_[137] * vX_[5] - vX_[862] * vX_[22] - vX_[994] * vX_[600] - vX_[999] * vX_[544] - -0.000881 * vX_[605];
+ vX_[58] = 0 - vX_[747];
+ vX_[27] = -0.881 * (vX_[1110] - vX_[27]) + 0.417781802643138 * vX_[775] + -0.00370574557885489 * vX_[669] + (0.110125 * vX_[58]) / 0.026181 - vX_[1006] * vX_[22] - vX_[1025] * vX_[600] - vX_[1026] * vX_[544];
+ vX_[605] = 0.881 * vX_[605] + -0.00370574557885489 * vX_[775] + 0.880970354035369 * vX_[669] + (0.000881 * vX_[58]) / 0.026181 - vX_[1028] * vX_[22] - vX_[1030] * vX_[600] - vX_[1032] * vX_[544];
+ vX_[1110] = (- vX_[671]) * x_in[31];
+ vX_[36] = vX_[1353] * x_in[31];
+ vX_[793] = vX_[959] * vX_[793] - vX_[711] * vX_[1353];
+ vX_[747] = 0.47422804 * (vX_[844] - vX_[576]) + (0.026181 * vX_[58]) / 0.026181 + vX_[747] + vX_[1034] * vX_[27] + vX_[141] * vX_[605] - 0.0825825 * vX_[793];
+ vX_[126] = 0 - vX_[747];
+ vX_[844] = -3.146 * (vX_[576] - vX_[844]) + vX_[142] * vX_[27] + vX_[140] * vX_[605] + vX_[187] * vX_[1110] + vX_[189] * vX_[36] + (vX_[154] * vX_[126]) / vX_[156];
+ vX_[793] = 3.146 * vX_[793] + vX_[1037] * vX_[27] + vX_[142] * vX_[605] + vX_[189] * vX_[1110] + vX_[188] * vX_[36] + (vX_[164] * vX_[126]) / vX_[156];
+ vX_[605] = (- vX_[1668]) * x_in[30];
+ vX_[27] = vX_[208] * x_in[30];
+ vX_[576] = vX_[622] * vX_[1668];
+ vX_[536] = vX_[1015] * vX_[22] - vX_[1021] * vX_[600];
+ vX_[61] = vX_[1188] * vX_[61] - vX_[868] * vX_[492];
+ vX_[492] = 0 - vX_[1006] * vX_[93] - vX_[1024] * vX_[5] - vX_[1026] * vX_[536] - vX_[1045] * vX_[22] - vX_[1052] * vX_[600] - vX_[1057] * vX_[544] - 0.110125 * vX_[61];
+ vX_[536] = -0.000881 * vX_[61] - vX_[1028] * vX_[93] - vX_[1029] * vX_[5] - vX_[1060] * vX_[536] - vX_[1067] * vX_[22] - vX_[1074] * vX_[600] - vX_[1078] * vX_[544];
+ vX_[61] = 0.881 * vX_[61] - vX_[840] * vX_[22] - vX_[137] * vX_[600];
+ vX_[1353] = vX_[712] * vX_[1353] - vX_[959] * vX_[671];
+ vX_[671] = vX_[142] * vX_[492] + vX_[140] * vX_[536] + -0.35 * vX_[61] + vX_[161] * vX_[1110] + vX_[167] * vX_[36] + (2.1e-05 * vX_[126]) / vX_[156] - 0.47422804 * vX_[1353];
+ vX_[536] = 0.0825825 * vX_[1353] + vX_[152] * vX_[492] + vX_[142] * vX_[536] + vX_[158] * vX_[1110] + vX_[166] * vX_[36] + (-0.000102 * vX_[126]) / vX_[156];
+ vX_[1353] = 3.146 * vX_[1353] + vX_[61];
+ vX_[61] = 0.1466472 * vX_[576] + vX_[139] * vX_[671] + vX_[159] * vX_[536] + -0.08 * vX_[1353];
+ vX_[492] = 0 - vX_[61];
+ vX_[22] = vX_[973] * vX_[208] - vX_[660] * vX_[1668];
+ vX_[747] = -0.5824264 * vX_[911] + vX_[790] * vX_[844] + vX_[177] * vX_[793] + -1 * (vX_[747] + (vX_[156] * vX_[126]) / vX_[156]) + vX_[241] * vX_[605] + vX_[230] * vX_[27] + (vX_[240] * vX_[492]) / vX_[203] - 0.1466472 * vX_[22];
+ vX_[536] = -0.5824264 * (0 - vX_[576]) + vX_[160] * vX_[671] + vX_[139] * vX_[536] + vX_[231] * vX_[605] + vX_[205] * vX_[27] + (vX_[198] * vX_[492]) / vX_[203];
+ vX_[22] = 3.44 * vX_[22] + vX_[139] * vX_[844] + vX_[159] * vX_[793] + vX_[234] * vX_[605] + vX_[227] * vX_[27] + (vX_[225] * vX_[492]) / vX_[203];
+ vX_[1353] = -3.44 * (0 - vX_[576]) + -1 * vX_[1353] + vX_[233] * vX_[605] + vX_[219] * vX_[27] + (vX_[217] * vX_[492]) / vX_[203];
+ vX_[793] = 3.44 * vX_[911] + vX_[1079] * vX_[844] + vX_[139] * vX_[793] + vX_[219] * vX_[605] + vX_[245] * vX_[27] + (vX_[201] * vX_[492]) / vX_[203];
+ vX_[844] = 0 - vX_[1441] * vX_[328];
+ vX_[911] = vX_[250] * vX_[1669];
+ vX_[576] = vX_[847] * vX_[911];
+ vX_[671] = vX_[1190] * vX_[328];
+ vX_[600] = vX_[1319] * vX_[1669];
+ vX_[5] = vX_[253] * vX_[600] + vX_[251] * vX_[911];
+ vX_[93] = vX_[953] * vX_[5];
+ vX_[544] = vX_[700] * vX_[328];
+ vX_[623] = -1000. * vX_[1118] * vX_[1228];
+ vX_[752] = -1000. * vX_[1152] * vX_[1228];
+ vX_[606] = -1000. * vX_[1178] * vX_[1228];
+ vX_[1632] = vX_[1103] * vX_[623] + vX_[1243] * vX_[752] + vX_[1248] * vX_[606];
+ vX_[876] = vX_[1254] * vX_[623] + vX_[1232] * vX_[752] + vX_[1241] * vX_[606];
+ vX_[66] = vX_[1081] * vX_[1632] - vX_[1251] * vX_[876];
+ vX_[606] = vX_[740] * vX_[623] + vX_[1102] * vX_[752] + vX_[1253] * vX_[606];
+ vX_[752] = vX_[1257] * vX_[876] - vX_[1081] * vX_[606];
+ vX_[623] = vX_[251] * vX_[600] + vX_[1276] * vX_[911];
+ vX_[29] = vX_[1084] * vX_[328] - vX_[953] * vX_[623];
+ vX_[18] = 0.1104774 * (vX_[93] - vX_[544]) - vX_[328] * vX_[66] - vX_[249] * vX_[752] - vX_[1105] * vX_[606] - vX_[1230] * vX_[1632] - vX_[1235] * vX_[876] - 0.0004405 * vX_[29];
+ vX_[82] = 0 - vX_[18];
+ vX_[106] = (- vX_[5]) * x_in[29];
+ vX_[19] = vX_[623] * x_in[29];
+ vX_[733] = -0.881 * (vX_[544] - vX_[93]) + 0.414812462825713 * vX_[106] + 0.00185880198235362 * vX_[19] + (0.1104774 * vX_[82]) / 0.026181 - vX_[1258] * vX_[606] - vX_[1263] * vX_[1632] - vX_[1265] * vX_[876];
+ vX_[471] = 0.881 * vX_[29] + 0.00185880198235362 * vX_[106] + 0.880992588508842 * vX_[19] + (-0.0004405 * vX_[82]) / 0.026181 - vX_[1267] * vX_[606] - vX_[1269] * vX_[1632] - vX_[1271] * vX_[876];
+ vX_[729] = vX_[1328] * vX_[328] - vX_[847] * vX_[600];
+ vX_[18] = 0.47422804 * (vX_[576] - vX_[671]) + (0.026181 * vX_[82]) / 0.026181 + vX_[18] + vX_[1252] * vX_[733] + vX_[256] * vX_[471] - -0.0825825 * vX_[729];
+ vX_[1677] = 0 - vX_[18];
+ vX_[974] = (- vX_[911]) * x_in[28];
+ vX_[663] = vX_[600] * x_in[28];
+ vX_[671] = -3.146 * (vX_[671] - vX_[576]) + vX_[251] * vX_[733] + vX_[253] * vX_[471] + vX_[308] * vX_[974] + vX_[310] * vX_[663] + (vX_[272] * vX_[1677]) / vX_[274];
+ vX_[729] = 3.146 * vX_[729] + vX_[1276] * vX_[733] + vX_[251] * vX_[471] + vX_[310] * vX_[974] + vX_[309] * vX_[663] + (vX_[285] * vX_[1677]) / vX_[274];
+ vX_[471] = (- vX_[1669]) * x_in[27];
+ vX_[733] = vX_[328] * x_in[27];
+ vX_[576] = vX_[1441] * vX_[1669];
+ vX_[962] = vX_[1251] * vX_[606] - vX_[1257] * vX_[1632];
+ vX_[623] = vX_[700] * vX_[623] - vX_[1084] * vX_[5];
+ vX_[29] = -8.81e-05 * vX_[29] + -8.81e-05 * vX_[19] - vX_[1258] * vX_[66] - vX_[1262] * vX_[752] - vX_[1264] * vX_[962] - vX_[1285] * vX_[606] - vX_[1292] * vX_[1632] - vX_[1297] * vX_[876] - 0.1104774 * vX_[623];
+ vX_[962] = 0.0004405 * vX_[623] + -8.81e-05 * (vX_[544] - vX_[93]) + 8.81e-05 * vX_[106] - vX_[1267] * vX_[66] - vX_[1269] * vX_[752] - vX_[1271] * vX_[962] - vX_[1305] * vX_[606] - vX_[1312] * vX_[1632] - vX_[1317] * vX_[876];
+ vX_[623] = 0.881 * vX_[623] - vX_[328] * vX_[606] - vX_[249] * vX_[1632];
+ vX_[600] = vX_[1190] * vX_[600] - vX_[1328] * vX_[911];
+ vX_[911] = vX_[251] * vX_[29] + vX_[253] * vX_[962] + -0.35 * vX_[623] + vX_[282] * vX_[974] + vX_[288] * vX_[663] + (vX_[281] * vX_[1677]) / vX_[274] - 0.47422804 * vX_[600];
+ vX_[962] = -0.0825825 * vX_[600] + vX_[254] * vX_[29] + vX_[251] * vX_[962] + vX_[276] * vX_[974] + vX_[287] * vX_[663] + (vX_[262] * vX_[1677]) / vX_[274];
+ vX_[600] = 3.146 * vX_[600] + vX_[623];
+ vX_[623] = 0.1466472 * vX_[576] + vX_[297] * vX_[911] + vX_[278] * vX_[962] + 0.08 * vX_[600];
+ vX_[29] = 0 - vX_[623];
+ vX_[606] = vX_[1198] * vX_[328] - vX_[1327] * vX_[1669];
+ vX_[18] = -0.5824264 * vX_[844] + (vX_[274] * vX_[1677]) / vX_[274] + vX_[18] + vX_[1274] * vX_[671] + vX_[299] * vX_[729] + vX_[361] * vX_[471] + vX_[350] * vX_[733] + (vX_[360] * vX_[29]) / vX_[324] - 0.1466472 * vX_[606];
+ vX_[962] = -0.5824264 * (0 - vX_[576]) + vX_[278] * vX_[911] + vX_[250] * vX_[962] + vX_[351] * vX_[471] + vX_[326] * vX_[733] + (vX_[319] * vX_[29]) / vX_[324];
+ vX_[606] = 3.44 * vX_[606] + vX_[1229] * vX_[671] + vX_[698] * vX_[729] + vX_[354] * vX_[471] + vX_[347] * vX_[733] + (vX_[345] * vX_[29]) / vX_[324];
+ vX_[600] = -3.44 * (0 - vX_[576]) + vX_[600] + vX_[353] * vX_[471] + vX_[339] * vX_[733] + (vX_[337] * vX_[29]) / vX_[324];
+ vX_[729] = 3.44 * vX_[844] + vX_[1319] * vX_[671] + vX_[250] * vX_[729] + vX_[339] * vX_[471] + vX_[365] * vX_[733] + (vX_[322] * vX_[29]) / vX_[324];
+ vX_[671] = 0 - vX_[1272] * vX_[450];
+ vX_[844] = -1 * vX_[450];
+ vX_[576] = vX_[877] * vX_[844];
+ vX_[911] = vX_[371] * vX_[1670];
+ vX_[1632] = vX_[849] * vX_[911];
+ vX_[752] = vX_[1147] * vX_[844];
+ vX_[66] = vX_[1562] * vX_[1670];
+ vX_[876] = vX_[374] * vX_[66] + vX_[372] * vX_[911];
+ vX_[544] = vX_[593] * vX_[876];
+ vX_[93] = (- vX_[876]) * x_in[26];
+ vX_[5] = vX_[372] * vX_[66] + vX_[1520] * vX_[911];
+ vX_[1141] = vX_[5] * x_in[26];
+ vX_[631] = -1000. * vX_[1365] * vX_[1474];
+ vX_[736] = -1000. * vX_[1398] * vX_[1474];
+ vX_[100] = -1000. * vX_[1424] * vX_[1474];
+ vX_[640] = vX_[1347] * vX_[631] + vX_[1490] * vX_[736] + vX_[1495] * vX_[100];
+ vX_[21] = vX_[1501] * vX_[631] + vX_[1475] * vX_[736] + vX_[1488] * vX_[100];
+ vX_[0] = vX_[1325] * vX_[640] - vX_[1498] * vX_[21];
+ vX_[100] = vX_[1356] * vX_[631] + vX_[1346] * vX_[736] + vX_[1500] * vX_[100];
+ vX_[736] = vX_[1504] * vX_[21] - vX_[1325] * vX_[100];
+ vX_[631] = vX_[1392] * vX_[844] - vX_[593] * vX_[5];
+ vX_[12] = 0.1104774 * (vX_[544] - vX_[752]) - vX_[1321] * vX_[0] - vX_[369] * vX_[736] - vX_[1348] * vX_[100] - vX_[1477] * vX_[640] - vX_[1482] * vX_[21] - 0.0004405 * vX_[631];
+ vX_[724] = 0 - vX_[12];
+ vX_[784] = -0.881 * (vX_[752] - vX_[544]) + 0.414812462825713 * vX_[93] + 0.00185880198235362 * vX_[1141] + (0.1104774 * vX_[724]) / 0.026181 - vX_[1489] * vX_[100] - vX_[1507] * vX_[640] - vX_[1508] * vX_[21];
+ vX_[681] = 0.881 * vX_[631] + 0.00185880198235362 * vX_[93] + 0.880992588508842 * vX_[1141] + (-0.0004405 * vX_[724]) / 0.026181 - vX_[1511] * vX_[100] - vX_[1512] * vX_[640] - vX_[1515] * vX_[21];
+ vX_[489] = (- vX_[911]) * x_in[25];
+ vX_[59] = vX_[66] * x_in[25];
+ vX_[844] = vX_[866] * vX_[844] - vX_[849] * vX_[66];
+ vX_[12] = 0.47422804 * (vX_[1632] - vX_[576]) + (0.026181 * vX_[724]) / 0.026181 + vX_[12] + vX_[1517] * vX_[784] + vX_[377] * vX_[681] - -0.0825825 * vX_[844];
+ vX_[774] = 0 - vX_[12];
+ vX_[1632] = -3.146 * (vX_[576] - vX_[1632]) + vX_[372] * vX_[784] + vX_[374] * vX_[681] + vX_[429] * vX_[489] + vX_[431] * vX_[59] + (vX_[393] * vX_[774]) / vX_[395];
+ vX_[844] = 3.146 * vX_[844] + vX_[1520] * vX_[784] + vX_[372] * vX_[681] + vX_[431] * vX_[489] + vX_[430] * vX_[59] + (vX_[406] * vX_[774]) / vX_[395];
+ vX_[681] = (- vX_[1670]) * x_in[24];
+ vX_[784] = vX_[450] * x_in[24];
+ vX_[576] = vX_[1272] * vX_[1670];
+ vX_[691] = vX_[1498] * vX_[100] - vX_[1504] * vX_[640];
+ vX_[5] = vX_[1147] * vX_[5] - vX_[1392] * vX_[876];
+ vX_[631] = -8.81e-05 * vX_[631] + -8.81e-05 * vX_[1141] - vX_[1521] * vX_[0] - vX_[1507] * vX_[736] - vX_[1508] * vX_[691] - vX_[1529] * vX_[100] - vX_[1536] * vX_[640] - vX_[1541] * vX_[21] - 0.1104774 * vX_[5];
+ vX_[691] = 0.0004405 * vX_[5] + -8.81e-05 * (vX_[752] - vX_[544]) + 8.81e-05 * vX_[93] - vX_[1510] * vX_[0] - vX_[1512] * vX_[736] - vX_[1514] * vX_[691] - vX_[1550] * vX_[100] - vX_[1557] * vX_[640] - vX_[1561] * vX_[21];
+ vX_[5] = 0.881 * vX_[5] - vX_[1326] * vX_[100] - vX_[369] * vX_[640];
+ vX_[66] = vX_[877] * vX_[66] - vX_[866] * vX_[911];
+ vX_[911] = vX_[372] * vX_[631] + vX_[374] * vX_[691] + -0.35 * vX_[5] + vX_[403] * vX_[489] + vX_[409] * vX_[59] + (vX_[402] * vX_[774]) / vX_[395] - 0.47422804 * vX_[66];
+ vX_[691] = -0.0825825 * vX_[66] + vX_[375] * vX_[631] + vX_[372] * vX_[691] + vX_[397] * vX_[489] + vX_[408] * vX_[59] + (vX_[383] * vX_[774]) / vX_[395];
+ vX_[66] = 3.146 * vX_[66] + vX_[5];
+ vX_[5] = 0.1466472 * vX_[576] + vX_[371] * vX_[911] + vX_[398] * vX_[691] + -0.08 * vX_[66];
+ vX_[631] = 0 - vX_[5];
+ vX_[100] = vX_[1331] * vX_[450] - vX_[597] * vX_[1670];
+ vX_[12] = 0.5824264 * vX_[671] + vX_[1275] * vX_[1632] + vX_[419] * vX_[844] + -1 * (vX_[12] + (vX_[395] * vX_[774]) / vX_[395]) + vX_[483] * vX_[681] + vX_[472] * vX_[784] + (vX_[482] * vX_[631]) / vX_[445] - 0.1466472 * vX_[100];
+ vX_[691] = 0.5824264 * (0 - vX_[576]) + vX_[399] * vX_[911] + vX_[371] * vX_[691] + vX_[473] * vX_[681] + vX_[447] * vX_[784] + (vX_[440] * vX_[631]) / vX_[445];
+ vX_[100] = 3.44 * vX_[100] + vX_[371] * vX_[1632] + vX_[398] * vX_[844] + vX_[476] * vX_[681] + vX_[469] * vX_[784] + (vX_[467] * vX_[631]) / vX_[445];
+ vX_[66] = -3.44 * (0 - vX_[576]) + -1 * vX_[66] + vX_[475] * vX_[681] + vX_[461] * vX_[784] + (vX_[459] * vX_[631]) / vX_[445];
+ vX_[844] = 3.44 * vX_[671] + vX_[1562] * vX_[1632] + vX_[371] * vX_[844] + vX_[461] * vX_[681] + vX_[487] * vX_[784] + (vX_[443] * vX_[631]) / vX_[445];
+ vX_[5] = (2.0678571 * x_in[18] + (vX_[92] * vX_[11]) / vX_[92] + vX_[728] + vX_[136] * vX_[79] + vX_[95] * vX_[720] + vX_[248] * vX_[1353] + vX_[206] * vX_[793] + -1 * (vX_[61] + (vX_[203] * vX_[492]) / vX_[203]) + (vX_[324] * vX_[29]) / vX_[324] + vX_[623] + vX_[368] * vX_[600] + vX_[327] * vX_[729] + vX_[1573] * vX_[66] + vX_[448] * vX_[844] + -1 * (vX_[5] + (vX_[445] * vX_[631]) / vX_[445])) / vX_[583];
+ vX_[623] = (2.0678571 * x_in[19] + vX_[26] * vX_[769] + vX_[96] * vX_[628] + vX_[97] * vX_[79] + vX_[1569] * vX_[720] + vX_[138] * vX_[747] + vX_[209] * vX_[536] + vX_[210] * vX_[1353] + vX_[1570] * vX_[793] + vX_[249] * vX_[18] + vX_[328] * vX_[962] + vX_[329] * vX_[600] + vX_[1571] * vX_[729] + vX_[370] * vX_[12] + vX_[451] * vX_[691] + vX_[452] * vX_[66] + vX_[1572] * vX_[844] - vX_[1566] * vX_[5]) / vX_[580];
+ vX_[691] = (-1.1915559 * (0 - x_in[18]) + vX_[96] * vX_[769] + vX_[98] * vX_[628] + 0.207 * vX_[634] + vX_[99] * vX_[79] + vX_[834] * vX_[720] + vX_[208] * vX_[747] + vX_[138] * vX_[536] + 0.207 * vX_[22] + vX_[211] * vX_[1353] + vX_[998] * vX_[793] + vX_[328] * vX_[18] + vX_[330] * vX_[962] + 0.207 * vX_[606] + vX_[331] * vX_[600] + vX_[1318] * vX_[729] + vX_[450] * vX_[12] + vX_[370] * vX_[691] + 0.207 * vX_[100] + vX_[453] * vX_[66] + vX_[1481] * vX_[844] - -0.0053433 * x_in[19] - vX_[1568] * vX_[623] - vX_[490] * vX_[5]) / vX_[582];
+ vX_[100] = (53.433 * x_in[19] + vX_[634] + -1 * vX_[22] + vX_[606] + -1 * vX_[100] - vX_[1610] * vX_[623] - vX_[1630] * vX_[5] - vX_[1627] * vX_[691]) / vX_[1657];
+ vX_[606] = (-53.433 * x_in[18] + vX_[26] * vX_[79] + vX_[96] * vX_[720] + vX_[1615] * vX_[1353] + vX_[1616] * vX_[793] + vX_[249] * vX_[600] + vX_[328] * vX_[729] + vX_[1617] * vX_[66] + vX_[1618] * vX_[844] - vX_[1587] * vX_[623] - vX_[1611] * vX_[5] - vX_[1575] * vX_[691] - vX_[1629] * vX_[100]) / vX_[1654];
+ vX_[844] = (vX_[96] * vX_[79] + vX_[1667] * vX_[720] + vX_[208] * vX_[1353] + vX_[1668] * vX_[793] + vX_[328] * vX_[600] + vX_[1669] * vX_[729] + vX_[450] * vX_[66] + vX_[1670] * vX_[844] - vX_[748] * vX_[623] - vX_[1626] * vX_[5] - vX_[484] * vX_[691] - vX_[1664] * vX_[100] - vX_[1584] * vX_[606]) / vX_[1656];
+ jac[851] = - vX_[844];
+ vX_[606] = vX_[606] - vX_[1666] * vX_[844];
+ jac[850] = - vX_[606];
+ vX_[100] = vX_[100] - vX_[1665] * vX_[844] - vX_[1599] * vX_[606];
+ jac[849] = - vX_[100];
+ vX_[691] = vX_[691] - vX_[1614] * vX_[606] - vX_[1628] * vX_[100] - vX_[1660] * vX_[844];
+ jac[848] = - vX_[691];
+ vX_[623] = vX_[623] - vX_[1619] * vX_[100] - vX_[1565] * vX_[691] - vX_[1613] * vX_[606] - vX_[1659] * vX_[844];
+ jac[846] = vX_[584] * vX_[691] + vX_[1567] * vX_[623] + vX_[1593] * vX_[100] + vX_[1612] * vX_[606] + vX_[1658] * vX_[844] - vX_[5];
+ jac[847] = - vX_[623];
+ vX_[623] = -1 * jac[846];
+ vX_[691] = vX_[450] * jac[848] + vX_[370] * jac[847];
+ vX_[100] = vX_[370] * jac[848] + vX_[451] * jac[847];
+ vX_[606] = -1 * jac[849];
+ vX_[844] = 0.207 * jac[848] + vX_[606];
+ vX_[784] = vX_[1481] * jac[848] + vX_[1572] * jac[847] + vX_[448] * jac[846] + vX_[1670] * jac[851] + vX_[1618] * jac[850] + vX_[784];
+ jac[852] = (vX_[631] - vX_[445] * vX_[623] - vX_[482] * vX_[691] - vX_[440] * vX_[100] - vX_[467] * vX_[844] - vX_[459] * (vX_[453] * jac[848] + vX_[452] * jac[847] + vX_[1573] * jac[846] + vX_[450] * jac[851] + vX_[1617] * jac[850] + vX_[681]) - vX_[443] * vX_[784]) / vX_[445];
+ vX_[631] = -1 * vX_[691];
+ vX_[681] = vX_[623] + jac[852];
+ vX_[489] = vX_[371] * vX_[844] + vX_[1562] * vX_[784] + vX_[1275] * vX_[691] + vX_[489];
+ vX_[784] = vX_[398] * vX_[844] + vX_[371] * vX_[784] + vX_[419] * vX_[691] + vX_[59];
+ jac[853] = (vX_[774] - vX_[395] * vX_[631] - vX_[402] * (vX_[371] * vX_[681] + vX_[399] * vX_[100]) - vX_[383] * (vX_[398] * vX_[681] + vX_[371] * vX_[100]) - vX_[393] * vX_[489] - vX_[406] * vX_[784]) / vX_[395];
+ vX_[631] = vX_[631] + jac[853];
+ jac[854] = (vX_[724] - 0.1104774 * (vX_[372] * vX_[489] + vX_[1520] * vX_[784] + vX_[1517] * vX_[631] + vX_[93]) - -0.0004405 * (vX_[374] * vX_[489] + vX_[372] * vX_[784] + vX_[377] * vX_[631] + vX_[1141]) - 0.026181 * vX_[631]) / 0.026181;
+ vX_[631] = vX_[328] * jac[848] + vX_[249] * jac[847];
+ vX_[784] = vX_[330] * jac[848] + vX_[328] * jac[847];
+ vX_[489] = 0.207 * jac[848] + jac[849];
+ vX_[733] = vX_[1318] * jac[848] + vX_[1571] * jac[847] + vX_[327] * jac[846] + vX_[1669] * jac[851] + vX_[328] * jac[850] + vX_[733];
+ jac[855] = (vX_[29] - vX_[324] * jac[846] - vX_[360] * vX_[631] - vX_[319] * vX_[784] - vX_[345] * vX_[489] - vX_[337] * (vX_[331] * jac[848] + vX_[329] * jac[847] + vX_[368] * jac[846] + vX_[328] * jac[851] + vX_[249] * jac[850] + vX_[471]) - vX_[322] * vX_[733]) / vX_[324];
+ vX_[29] = jac[846] + jac[855];
+ vX_[974] = vX_[1229] * vX_[489] + vX_[1319] * vX_[733] + vX_[1274] * vX_[631] + vX_[974];
+ vX_[733] = vX_[698] * vX_[489] + vX_[250] * vX_[733] + vX_[299] * vX_[631] + vX_[663];
+ jac[856] = (vX_[1677] - vX_[274] * vX_[631] - vX_[281] * (vX_[297] * vX_[29] + vX_[278] * vX_[784]) - vX_[262] * (vX_[278] * vX_[29] + vX_[250] * vX_[784]) - vX_[272] * vX_[974] - vX_[285] * vX_[733]) / vX_[274];
+ vX_[631] = vX_[631] + jac[856];
+ jac[857] = (vX_[82] - 0.1104774 * (vX_[251] * vX_[974] + vX_[1276] * vX_[733] + vX_[1252] * vX_[631] + vX_[106]) - -0.0004405 * (vX_[253] * vX_[974] + vX_[251] * vX_[733] + vX_[256] * vX_[631] + vX_[19]) - 0.026181 * vX_[631]) / 0.026181;
+ vX_[631] = vX_[208] * jac[848] + vX_[138] * jac[847];
+ vX_[733] = vX_[138] * jac[848] + vX_[209] * jac[847];
+ vX_[606] = 0.207 * jac[848] + vX_[606];
+ vX_[27] = vX_[998] * jac[848] + vX_[1570] * jac[847] + vX_[206] * jac[846] + vX_[1668] * jac[851] + vX_[1616] * jac[850] + vX_[27];
+ jac[858] = (vX_[492] - vX_[203] * vX_[623] - vX_[240] * vX_[631] - vX_[198] * vX_[733] - vX_[225] * vX_[606] - vX_[217] * (vX_[211] * jac[848] + vX_[210] * jac[847] + vX_[248] * jac[846] + vX_[208] * jac[851] + vX_[1615] * jac[850] + vX_[605]) - vX_[201] * vX_[27]) / vX_[203];
+ vX_[492] = -1 * vX_[631];
+ vX_[623] = vX_[623] + jac[858];
+ vX_[1110] = vX_[139] * vX_[606] + vX_[1079] * vX_[27] + vX_[790] * vX_[631] + vX_[1110];
+ vX_[27] = vX_[159] * vX_[606] + vX_[139] * vX_[27] + vX_[177] * vX_[631] + vX_[36];
+ jac[859] = (vX_[126] - vX_[156] * vX_[492] - 2.1e-05 * (vX_[139] * vX_[623] + vX_[160] * vX_[733]) - -0.000102 * (vX_[159] * vX_[623] + vX_[139] * vX_[733]) - vX_[154] * vX_[1110] - vX_[164] * vX_[27]) / vX_[156];
+ vX_[492] = vX_[492] + jac[859];
+ jac[860] = (vX_[58] - 0.110125 * (vX_[142] * vX_[1110] + vX_[1037] * vX_[27] + vX_[1034] * vX_[492] + vX_[775]) - 0.000881 * (vX_[140] * vX_[1110] + vX_[142] * vX_[27] + vX_[141] * vX_[492] + vX_[669]) - 0.026181 * vX_[492]) / 0.026181;
+ vX_[492] = vX_[96] * jac[848] + vX_[26] * jac[847];
+ vX_[27] = vX_[98] * jac[848] + vX_[96] * jac[847];
+ vX_[1110] = 0.207 * jac[848] + jac[849];
+ vX_[646] = vX_[834] * jac[848] + vX_[1569] * jac[847] + vX_[95] * jac[846] + vX_[1667] * jac[851] + vX_[96] * jac[850] + vX_[646];
+ jac[861] = (vX_[11] - vX_[92] * jac[846] - vX_[128] * vX_[492] - vX_[87] * vX_[27] - vX_[113] * vX_[1110] - vX_[105] * (vX_[99] * jac[848] + vX_[97] * jac[847] + vX_[136] * jac[846] + vX_[96] * jac[851] + vX_[26] * jac[850] + vX_[685]) - vX_[90] * vX_[646]) / vX_[92];
+ vX_[11] = jac[846] + jac[861];
+ vX_[869] = vX_[746] * vX_[1110] + vX_[835] * vX_[646] + vX_[789] * vX_[492] + vX_[869];
+ vX_[646] = vX_[613] * vX_[1110] + vX_[13] * vX_[646] + vX_[67] * vX_[492] + vX_[1201];
+ jac[862] = (vX_[599] - vX_[42] * vX_[492] - vX_[49] * (vX_[65] * vX_[11] + vX_[46] * vX_[27]) - vX_[30] * (vX_[46] * vX_[11] + vX_[13] * vX_[27]) - vX_[40] * vX_[869] - vX_[53] * vX_[646]) / vX_[42];
+ vX_[492] = vX_[492] + jac[862];
+ jac[863] = (vX_[501] - 0.1104774 * (vX_[15] * vX_[869] + vX_[791] * vX_[646] + vX_[766] * vX_[492] + vX_[738]) - 0.0004405 * (vX_[23] * vX_[869] + vX_[15] * vX_[646] + vX_[25] * vX_[492] + vX_[732]) - 0.026181 * vX_[492]) / 0.026181;
+ vX_[492] = 0 - vX_[1231];
+ vX_[1272] = vX_[1272] + vX_[1272];
+ vX_[646] = vX_[877] * -0.08 + vX_[398] * vX_[1096];
+ vX_[869] = vX_[877] * vX_[371] + vX_[398] * vX_[866];
+ vX_[732] = -0.35 * vX_[371] - 0.08;
+ vX_[738] = vX_[372] * vX_[398] + vX_[374] * vX_[371];
+ vX_[501] = vX_[1147] * vX_[732] + vX_[738] * vX_[845];
+ vX_[11] = vX_[375] * vX_[398] + vX_[372] * vX_[371];
+ vX_[27] = vX_[1147] * vX_[11] + vX_[738] * vX_[1392];
+ vX_[599] = vX_[11] * vX_[593];
+ vX_[1110] = vX_[11] * x_in[26];
+ vX_[1201] = -1000. * (vX_[1365] * vX_[1381] + vX_[1399] * vX_[1415]) * vX_[1474];
+ vX_[685] = -1000. * (vX_[1398] * vX_[1381] + vX_[1364] * vX_[1415]) * vX_[1474];
+ vX_[1415] = -1000. * (vX_[1424] * vX_[1381] + vX_[1492] * vX_[1415]) * vX_[1474];
+ vX_[1381] = vX_[1347] * vX_[1201] + vX_[1490] * vX_[685] + vX_[1495] * vX_[1415];
+ vX_[58] = vX_[1501] * vX_[1201] + vX_[1475] * vX_[685] + vX_[1488] * vX_[1415];
+ vX_[669] = vX_[1325] * vX_[1381] - vX_[1498] * vX_[58];
+ vX_[1415] = vX_[1356] * vX_[1201] + vX_[1346] * vX_[685] + vX_[1500] * vX_[1415];
+ vX_[685] = vX_[1504] * vX_[58] - vX_[1325] * vX_[1415];
+ vX_[732] = vX_[1392] * vX_[732] + vX_[11] * vX_[845];
+ vX_[845] = 0.1104774 * (0 - vX_[501]) + 0.025941 * vX_[27] - vX_[1321] * vX_[669] - vX_[369] * vX_[685] - vX_[1348] * vX_[1415] - vX_[1477] * vX_[1381] - vX_[1482] * vX_[58] - 0.0004405 * vX_[732];
+ vX_[1201] = 0 - vX_[845];
+ vX_[775] = vX_[1147] * vX_[738] + vX_[738] * vX_[1147];
+ vX_[623] = -0.881 * vX_[501] + 0.1104774 * vX_[27] + -8.81e-05 * vX_[599] + 8.81e-05 * vX_[1110] + (0.1104774 * vX_[1201]) / 0.026181 - vX_[1489] * vX_[1415] - vX_[1507] * vX_[1381] - vX_[1508] * vX_[58] - 0.0004405 * vX_[775];
+ vX_[733] = vX_[738] * vX_[593];
+ vX_[126] = (- vX_[738]) * x_in[26];
+ vX_[606] = vX_[1392] * vX_[11] + vX_[11] * vX_[1392];
+ vX_[27] = 0.881 * vX_[732] + -8.81e-05 * vX_[733] + 0.0004405 * vX_[27] + -8.81e-05 * vX_[126] + (-0.0004405 * vX_[1201]) / 0.026181 - vX_[1511] * vX_[1415] - vX_[1512] * vX_[1381] - vX_[1515] * vX_[58] - 0.1104774 * vX_[606];
+ vX_[631] = (- vX_[398]) * x_in[25];
+ vX_[36] = vX_[371] * x_in[25];
+ vX_[605] = vX_[398] * vX_[849];
+ vX_[1096] = vX_[866] * -0.08 + vX_[371] * vX_[1096];
+ vX_[974] = vX_[371] * vX_[849];
+ vX_[19] = vX_[866] * vX_[371] + vX_[371] * vX_[866];
+ vX_[106] = vX_[877] * vX_[398] + vX_[398] * vX_[877];
+ vX_[845] = 0.47422804 * (0 - vX_[646]) + 0.081641 * vX_[869] + 2.1e-05 * vX_[605] + (0.026181 * vX_[1201]) / 0.026181 + vX_[845] + vX_[1517] * vX_[623] + vX_[377] * vX_[27] - -0.0825825 * vX_[1096] - 0.000102 * vX_[974] - 0.007418 * (vX_[19] - vX_[106]);
+ vX_[82] = 0 - vX_[845];
+ vX_[646] = -3.146 * vX_[646] + 0.47422804 * vX_[869] + vX_[372] * vX_[623] + vX_[374] * vX_[27] + vX_[403] * vX_[631] + vX_[397] * vX_[36] + (vX_[393] * vX_[82]) / vX_[395] - -0.0825825 * vX_[106];
+ vX_[1096] = 3.146 * vX_[1096] + -0.0825825 * vX_[869] + vX_[1520] * vX_[623] + vX_[372] * vX_[27] + vX_[409] * vX_[631] + vX_[408] * vX_[36] + (vX_[406] * vX_[82]) / vX_[395] - 0.47422804 * vX_[19];
+ vX_[27] = vX_[1498] * vX_[1415] - vX_[1504] * vX_[1381];
+ vX_[11] = vX_[738] * vX_[1487] - vX_[11] * vX_[1466];
+ vX_[732] = -8.81e-05 * vX_[732] + 0.026409 * vX_[126] - vX_[1521] * vX_[669] - vX_[1507] * vX_[685] - vX_[1508] * vX_[27] - vX_[1529] * vX_[1415] - vX_[1536] * vX_[1381] - vX_[1541] * vX_[58] - 0.1104774 * vX_[11] - 0.025713 * vX_[733];
+ vX_[27] = 0.0004405 * vX_[11] + -8.81e-05 * vX_[501] + -0.000227999999999999 * vX_[599] + 0.000468 * vX_[1110] - vX_[1510] * vX_[669] - vX_[1512] * vX_[685] - vX_[1514] * vX_[27] - vX_[1550] * vX_[1415] - vX_[1557] * vX_[1381] - vX_[1561] * vX_[58];
+ vX_[11] = 0.881 * vX_[11] + 0.1104774 * vX_[733] + 0.0004405 * vX_[599] + -0.1104774 * vX_[126] + 0.0004405 * vX_[1110] - vX_[1326] * vX_[1415] - vX_[369] * vX_[1381] - -8.81e-05 * (vX_[606] + vX_[775]);
+ vX_[606] = vX_[398] * vX_[1455] - vX_[371] * vX_[1340];
+ vX_[106] = 0.007418 * vX_[974] + 0.000102 * (0 - vX_[106]) + vX_[372] * vX_[732] + vX_[374] * vX_[27] + -0.35 * vX_[11] + vX_[425] * vX_[631] + vX_[417] * vX_[36] + (vX_[402] * vX_[82]) / vX_[395] - 0.47422804 * vX_[606] - 0.084376 * vX_[605] - 2.1e-05 * vX_[869];
+ vX_[27] = 0.002735 * vX_[974] + -0.0825825 * vX_[606] + 0.000102 * vX_[869] + vX_[375] * vX_[732] + vX_[372] * vX_[27] + vX_[417] * vX_[631] + vX_[424] * vX_[36] + (vX_[383] * vX_[82]) / vX_[395] - 0.007418 * vX_[605] - 2.1e-05 * (0 - vX_[19]);
+ vX_[606] = 0.47422804 * vX_[605] + 3.146 * vX_[606] + -0.0825825 * vX_[974] + vX_[11] + vX_[392] * vX_[631] + vX_[405] * vX_[36];
+ vX_[11] = 0.1466472 * vX_[1107] + -5.1e-05 * vX_[1331] + vX_[371] * vX_[106] + vX_[398] * vX_[27] + -0.08 * vX_[606] - -0.022734 * vX_[597];
+ vX_[974] = 0 - vX_[11];
+ vX_[845] = 0.5824264 * vX_[492] + -3.6e-05 * vX_[597] + -0.022734 * vX_[1272] + vX_[1275] * vX_[646] + vX_[419] * vX_[1096] + -1 * (vX_[845] + (vX_[395] * vX_[82]) / vX_[395]) + vX_[535] * vX_[1224] + vX_[575] * vX_[597] + vX_[483] * vX_[1149] + vX_[472] * vX_[1231] + (vX_[482] * vX_[974]) / vX_[445] - -0.123672 * vX_[1331];
+ vX_[27] = -0.133138 * vX_[597] + 0.5824264 * (0 - vX_[1107]) + vX_[399] * vX_[106] + vX_[371] * vX_[27] + vX_[575] * vX_[1224] + vX_[444] * vX_[597] + vX_[473] * vX_[1149] + vX_[447] * vX_[1231] + (vX_[440] * vX_[974]) / vX_[445] - -3.6e-05 * vX_[1331] - -5.1e-05 * vX_[1272];
+ vX_[434] = 0.1466472 * vX_[1331] + vX_[371] * vX_[646] + vX_[398] * vX_[1096] + vX_[458] * vX_[1224] + vX_[434] * vX_[597] + vX_[476] * vX_[1149] + vX_[469] * vX_[1231] + (vX_[467] * vX_[974]) / vX_[445];
+ vX_[606] = -3.44 * (0 - vX_[1107]) + 0.5824264 * vX_[597] + -1 * vX_[606] + vX_[483] * vX_[1224] + vX_[473] * vX_[597] + vX_[475] * vX_[1149] + vX_[461] * vX_[1231] + (vX_[459] * vX_[974]) / vX_[445];
+ vX_[1096] = 3.44 * vX_[492] + 0.5824264 * vX_[1331] + vX_[1562] * vX_[646] + vX_[371] * vX_[1096] + vX_[472] * vX_[1224] + vX_[447] * vX_[597] + vX_[461] * vX_[1149] + vX_[487] * vX_[1231] + (vX_[443] * vX_[974]) / vX_[445] - 0.1466472 * vX_[1272];
+ vX_[11] = (vX_[1573] * vX_[606] + vX_[448] * vX_[1096] + -1 * (vX_[11] + (vX_[445] * vX_[974]) / vX_[445])) / vX_[583];
+ vX_[646] = (vX_[370] * vX_[845] + vX_[451] * vX_[27] + vX_[452] * vX_[606] + vX_[1572] * vX_[1096] - vX_[1566] * vX_[11]) / vX_[580];
+ vX_[27] = (vX_[450] * vX_[845] + vX_[370] * vX_[27] + 0.207 * vX_[434] + vX_[453] * vX_[606] + vX_[1481] * vX_[1096] - vX_[1568] * vX_[646] - vX_[490] * vX_[11]) / vX_[582];
+ vX_[434] = (-1 * vX_[434] - vX_[1610] * vX_[646] - vX_[1630] * vX_[11] - vX_[1627] * vX_[27]) / vX_[1657];
+ vX_[845] = (vX_[1617] * vX_[606] + vX_[1618] * vX_[1096] - vX_[1587] * vX_[646] - vX_[1611] * vX_[11] - vX_[1575] * vX_[27] - vX_[1629] * vX_[434]) / vX_[1654];
+ vX_[1096] = (vX_[450] * vX_[606] + vX_[1670] * vX_[1096] - vX_[748] * vX_[646] - vX_[1626] * vX_[11] - vX_[484] * vX_[27] - vX_[1664] * vX_[434] - vX_[1584] * vX_[845]) / vX_[1656];
+ jac[887] = - vX_[1096];
+ vX_[845] = vX_[845] - vX_[1666] * vX_[1096];
+ jac[886] = - vX_[845];
+ vX_[434] = vX_[434] - vX_[1665] * vX_[1096] - vX_[1599] * vX_[845];
+ jac[885] = - vX_[434];
+ vX_[27] = vX_[27] - vX_[1614] * vX_[845] - vX_[1628] * vX_[434] - vX_[1660] * vX_[1096];
+ jac[884] = - vX_[27];
+ vX_[646] = vX_[646] - vX_[1619] * vX_[434] - vX_[1565] * vX_[27] - vX_[1613] * vX_[845] - vX_[1659] * vX_[1096];
+ jac[882] = vX_[584] * vX_[27] + vX_[1567] * vX_[646] + vX_[1593] * vX_[434] + vX_[1612] * vX_[845] + vX_[1658] * vX_[1096] - vX_[11];
+ jac[883] = - vX_[646];
+ vX_[646] = -1 * jac[882];
+ vX_[1224] = vX_[450] * jac[884] + vX_[370] * jac[883] + vX_[1224];
+ vX_[597] = vX_[370] * jac[884] + vX_[451] * jac[883] + vX_[597];
+ vX_[27] = -1 * jac[885];
+ vX_[434] = 0.207 * jac[884] + vX_[27];
+ vX_[1231] = vX_[1481] * jac[884] + vX_[1572] * jac[883] + vX_[448] * jac[882] + vX_[1670] * jac[887] + vX_[1618] * jac[886] + vX_[1231];
+ jac[888] = (vX_[974] - vX_[445] * vX_[646] - vX_[482] * vX_[1224] - vX_[440] * vX_[597] - vX_[467] * vX_[434] - vX_[459] * (vX_[453] * jac[884] + vX_[452] * jac[883] + vX_[1573] * jac[882] + vX_[450] * jac[887] + vX_[1617] * jac[886] + vX_[1149]) - vX_[443] * vX_[1231]) / vX_[445];
+ vX_[974] = -1 * vX_[1224];
+ vX_[1149] = vX_[646] + jac[888];
+ vX_[845] = vX_[371] * vX_[434] + vX_[1562] * vX_[1231] + vX_[1275] * vX_[1224];
+ vX_[1231] = vX_[398] * vX_[434] + vX_[371] * vX_[1231] + vX_[419] * vX_[1224];
+ jac[889] = (vX_[82] - vX_[395] * vX_[974] - vX_[402] * (vX_[371] * vX_[1149] + vX_[399] * vX_[597] + vX_[631]) - vX_[383] * (vX_[398] * vX_[1149] + vX_[371] * vX_[597] + vX_[36]) - vX_[393] * vX_[845] - vX_[406] * vX_[1231]) / vX_[395];
+ vX_[974] = vX_[974] + jac[889];
+ jac[890] = (vX_[1201] - 0.1104774 * (vX_[372] * vX_[845] + vX_[1520] * vX_[1231] + vX_[1517] * vX_[974]) - -0.0004405 * (vX_[374] * vX_[845] + vX_[372] * vX_[1231] + vX_[377] * vX_[974]) - 0.026181 * vX_[974]) / 0.026181;
+ vX_[974] = vX_[328] * jac[884] + vX_[249] * jac[883];
+ vX_[1231] = vX_[330] * jac[884] + vX_[328] * jac[883];
+ vX_[845] = 0.207 * jac[884] + jac[885];
+ vX_[1201] = vX_[1318] * jac[884] + vX_[1571] * jac[883] + vX_[327] * jac[882] + vX_[1669] * jac[887] + vX_[328] * jac[886];
+ jac[891] = (0 - vX_[324] * jac[882] - vX_[360] * vX_[974] - vX_[319] * vX_[1231] - vX_[345] * vX_[845] - vX_[337] * (vX_[331] * jac[884] + vX_[329] * jac[883] + vX_[368] * jac[882] + vX_[328] * jac[887] + vX_[249] * jac[886]) - vX_[322] * vX_[1201]) / vX_[324];
+ vX_[1149] = jac[882] + jac[891];
+ vX_[597] = vX_[1229] * vX_[845] + vX_[1319] * vX_[1201] + vX_[1274] * vX_[974];
+ vX_[1201] = vX_[698] * vX_[845] + vX_[250] * vX_[1201] + vX_[299] * vX_[974];
+ jac[892] = (0 - vX_[274] * vX_[974] - vX_[281] * (vX_[297] * vX_[1149] + vX_[278] * vX_[1231]) - vX_[262] * (vX_[278] * vX_[1149] + vX_[250] * vX_[1231]) - vX_[272] * vX_[597] - vX_[285] * vX_[1201]) / vX_[274];
+ vX_[974] = vX_[974] + jac[892];
+ jac[893] = (0 - 0.1104774 * (vX_[251] * vX_[597] + vX_[1276] * vX_[1201] + vX_[1252] * vX_[974]) - -0.0004405 * (vX_[253] * vX_[597] + vX_[251] * vX_[1201] + vX_[256] * vX_[974]) - 0.026181 * vX_[974]) / 0.026181;
+ vX_[974] = vX_[208] * jac[884] + vX_[138] * jac[883];
+ vX_[1201] = vX_[138] * jac[884] + vX_[209] * jac[883];
+ vX_[27] = 0.207 * jac[884] + vX_[27];
+ vX_[597] = vX_[998] * jac[884] + vX_[1570] * jac[883] + vX_[206] * jac[882] + vX_[1668] * jac[887] + vX_[1616] * jac[886];
+ jac[894] = (0 - vX_[203] * vX_[646] - vX_[240] * vX_[974] - vX_[198] * vX_[1201] - vX_[225] * vX_[27] - vX_[217] * (vX_[211] * jac[884] + vX_[210] * jac[883] + vX_[248] * jac[882] + vX_[208] * jac[887] + vX_[1615] * jac[886]) - vX_[201] * vX_[597]) / vX_[203];
+ vX_[1149] = -1 * vX_[974];
+ vX_[646] = vX_[646] + jac[894];
+ vX_[1231] = vX_[139] * vX_[27] + vX_[1079] * vX_[597] + vX_[790] * vX_[974];
+ vX_[597] = vX_[159] * vX_[27] + vX_[139] * vX_[597] + vX_[177] * vX_[974];
+ jac[895] = (0 - vX_[156] * vX_[1149] - 2.1e-05 * (vX_[139] * vX_[646] + vX_[160] * vX_[1201]) - -0.000102 * (vX_[159] * vX_[646] + vX_[139] * vX_[1201]) - vX_[154] * vX_[1231] - vX_[164] * vX_[597]) / vX_[156];
+ vX_[1149] = vX_[1149] + jac[895];
+ jac[896] = (0 - 0.110125 * (vX_[142] * vX_[1231] + vX_[1037] * vX_[597] + vX_[1034] * vX_[1149]) - 0.000881 * (vX_[140] * vX_[1231] + vX_[142] * vX_[597] + vX_[141] * vX_[1149]) - 0.026181 * vX_[1149]) / 0.026181;
+ vX_[1149] = vX_[96] * jac[884] + vX_[26] * jac[883];
+ vX_[597] = vX_[98] * jac[884] + vX_[96] * jac[883];
+ vX_[1231] = 0.207 * jac[884] + jac[885];
+ vX_[646] = vX_[834] * jac[884] + vX_[1569] * jac[883] + vX_[95] * jac[882] + vX_[1667] * jac[887] + vX_[96] * jac[886];
+ jac[897] = (0 - vX_[92] * jac[882] - vX_[128] * vX_[1149] - vX_[87] * vX_[597] - vX_[113] * vX_[1231] - vX_[105] * (vX_[99] * jac[884] + vX_[97] * jac[883] + vX_[136] * jac[882] + vX_[96] * jac[887] + vX_[26] * jac[886]) - vX_[90] * vX_[646]) / vX_[92];
+ vX_[1201] = jac[882] + jac[897];
+ vX_[27] = vX_[746] * vX_[1231] + vX_[835] * vX_[646] + vX_[789] * vX_[1149];
+ vX_[646] = vX_[613] * vX_[1231] + vX_[13] * vX_[646] + vX_[67] * vX_[1149];
+ jac[898] = (0 - vX_[42] * vX_[1149] - vX_[49] * (vX_[65] * vX_[1201] + vX_[46] * vX_[597]) - vX_[30] * (vX_[46] * vX_[1201] + vX_[13] * vX_[597]) - vX_[40] * vX_[27] - vX_[53] * vX_[646]) / vX_[42];
+ vX_[1149] = vX_[1149] + jac[898];
+ jac[899] = (0 - 0.1104774 * (vX_[15] * vX_[27] + vX_[791] * vX_[646] + vX_[766] * vX_[1149]) - 0.0004405 * (vX_[23] * vX_[27] + vX_[15] * vX_[646] + vX_[25] * vX_[1149]) - 0.026181 * vX_[1149]) / 0.026181;
+ vX_[1149] = vX_[593] * vX_[377] + vX_[1466];
+ vX_[646] = (- vX_[377]) * x_in[26];
+ vX_[27] = vX_[1517] * x_in[26];
+ vX_[1201] = -1000. * (vX_[1365] * vX_[1375] + vX_[1399] * vX_[1409] + vX_[1425] * vX_[1431]) * vX_[1474];
+ vX_[597] = -1000. * (vX_[1398] * vX_[1375] + vX_[1364] * vX_[1409] + vX_[1493] * vX_[1431]) * vX_[1474];
+ vX_[1431] = -1000. * (vX_[1424] * vX_[1375] + vX_[1492] * vX_[1409] + vX_[1396] * vX_[1431]) * vX_[1474];
+ vX_[1409] = vX_[1347] * vX_[1201] + vX_[1490] * vX_[597] + vX_[1495] * vX_[1431];
+ vX_[1375] = vX_[1501] * vX_[1201] + vX_[1475] * vX_[597] + vX_[1488] * vX_[1431];
+ vX_[1231] = vX_[1325] * vX_[1409] - vX_[1498] * vX_[1375];
+ vX_[1431] = vX_[1356] * vX_[1201] + vX_[1346] * vX_[597] + vX_[1500] * vX_[1431];
+ vX_[597] = vX_[1504] * vX_[1375] - vX_[1325] * vX_[1431];
+ vX_[1201] = 0 - (vX_[593] * vX_[1517] + vX_[1487]);
+ vX_[974] = 0.1104774 * vX_[1149] - vX_[1321] * vX_[1231] - vX_[369] * vX_[597] - vX_[1348] * vX_[1431] - vX_[1477] * vX_[1409] - vX_[1482] * vX_[1375] - 0.0004405 * vX_[1201];
+ vX_[845] = 0 - vX_[974];
+ vX_[82] = vX_[593] + vX_[593];
+ vX_[36] = -0.881 * (0 - vX_[1149]) + -8.81e-05 * vX_[1392] + 0.414812462825713 * vX_[646] + 0.00185880198235362 * vX_[27] + (0.1104774 * vX_[845]) / 0.026181 - vX_[1489] * vX_[1431] - vX_[1507] * vX_[1409] - vX_[1508] * vX_[1375] - 0.0004405 * vX_[82];
+ vX_[82] = 0.881 * vX_[1201] + -8.81e-05 * vX_[1147] + 0.00185880198235362 * vX_[646] + 0.880992588508842 * vX_[27] + (-0.0004405 * vX_[845]) / 0.026181 - vX_[1511] * vX_[1431] - vX_[1512] * vX_[1409] - vX_[1515] * vX_[1375] - 0.1104774 * vX_[82];
+ vX_[631] = 0 - vX_[1455];
+ vX_[974] = 0.47422804 * vX_[1340] + 2.1e-05 * vX_[877] + (0.026181 * vX_[845]) / 0.026181 + vX_[974] + vX_[1517] * vX_[36] + vX_[377] * vX_[82] - -0.0825825 * vX_[631] - 0.000102 * vX_[866];
+ vX_[434] = 0 - vX_[974];
+ vX_[849] = vX_[849] + vX_[849];
+ vX_[1340] = -3.146 * (0 - vX_[1340]) + vX_[372] * vX_[36] + vX_[374] * vX_[82] + vX_[403] * vX_[614] + vX_[397] * vX_[866] + vX_[429] * vX_[1438] + vX_[431] * vX_[1455] + (vX_[393] * vX_[434]) / vX_[395] - -0.0825825 * vX_[849];
+ vX_[631] = 3.146 * vX_[631] + vX_[1520] * vX_[36] + vX_[372] * vX_[82] + vX_[409] * vX_[614] + vX_[408] * vX_[866] + vX_[431] * vX_[1438] + vX_[430] * vX_[1455] + (vX_[406] * vX_[434]) / vX_[395] - 0.47422804 * vX_[849];
+ vX_[82] = vX_[1498] * vX_[1431] - vX_[1504] * vX_[1409];
+ vX_[36] = vX_[1147] * vX_[1517] - vX_[1392] * vX_[377];
+ vX_[1201] = -8.81e-05 * vX_[1201] + -8.81e-05 * vX_[27] - vX_[1521] * vX_[1231] - vX_[1507] * vX_[597] - vX_[1508] * vX_[82] - vX_[1529] * vX_[1431] - vX_[1536] * vX_[1409] - vX_[1541] * vX_[1375] - 0.1104774 * vX_[36] - 0.025713 * vX_[1147];
+ vX_[82] = 0.0004405 * vX_[36] + -8.81e-05 * (0 - vX_[1149]) + -0.000227999999999999 * vX_[1392] + 8.81e-05 * vX_[646] - vX_[1510] * vX_[1231] - vX_[1512] * vX_[597] - vX_[1514] * vX_[82] - vX_[1550] * vX_[1431] - vX_[1557] * vX_[1409] - vX_[1561] * vX_[1375];
+ vX_[36] = 0.881 * vX_[36] + 0.1104774 * vX_[1147] + 0.0004405 * vX_[1392] - vX_[1326] * vX_[1431] - vX_[369] * vX_[1409];
+ vX_[425] = 0.007418 * vX_[866] + 0.000102 * vX_[849] + vX_[372] * vX_[1201] + vX_[374] * vX_[82] + -0.35 * vX_[36] + vX_[425] * vX_[614] + vX_[417] * vX_[866] + vX_[403] * vX_[1438] + vX_[409] * vX_[1455] + (vX_[402] * vX_[434]) / vX_[395] - 0.084376 * vX_[877];
+ vX_[82] = 0.002735 * vX_[866] + vX_[375] * vX_[1201] + vX_[372] * vX_[82] + vX_[417] * vX_[614] + vX_[424] * vX_[866] + vX_[397] * vX_[1438] + vX_[408] * vX_[1455] + (vX_[383] * vX_[434]) / vX_[395] - 0.007418 * vX_[877] - 2.1e-05 * vX_[849];
+ vX_[36] = 0.47422804 * vX_[877] + -0.0825825 * vX_[866] + vX_[36] + vX_[392] * vX_[614] + vX_[405] * vX_[866];
+ vX_[877] = vX_[371] * vX_[425] + vX_[398] * vX_[82] + -0.08 * vX_[36];
+ vX_[392] = 0 - vX_[877];
+ vX_[974] = vX_[1275] * vX_[1340] + vX_[419] * vX_[631] + -1 * (vX_[974] + (vX_[395] * vX_[434]) / vX_[395]) + (vX_[482] * vX_[392]) / vX_[445];
+ vX_[82] = vX_[399] * vX_[425] + vX_[371] * vX_[82] + (vX_[440] * vX_[392]) / vX_[445];
+ vX_[425] = vX_[371] * vX_[1340] + vX_[398] * vX_[631] + (vX_[467] * vX_[392]) / vX_[445];
+ vX_[36] = -1 * vX_[36] + (vX_[459] * vX_[392]) / vX_[445];
+ vX_[631] = vX_[1562] * vX_[1340] + vX_[371] * vX_[631] + (vX_[443] * vX_[392]) / vX_[445];
+ vX_[877] = (vX_[1573] * vX_[36] + vX_[448] * vX_[631] + -1 * (vX_[877] + (vX_[445] * vX_[392]) / vX_[445])) / vX_[583];
+ vX_[1340] = (vX_[370] * vX_[974] + vX_[451] * vX_[82] + vX_[452] * vX_[36] + vX_[1572] * vX_[631] - vX_[1566] * vX_[877]) / vX_[580];
+ vX_[82] = (vX_[450] * vX_[974] + vX_[370] * vX_[82] + 0.207 * vX_[425] + vX_[453] * vX_[36] + vX_[1481] * vX_[631] - vX_[1568] * vX_[1340] - vX_[490] * vX_[877]) / vX_[582];
+ vX_[425] = (-1 * vX_[425] - vX_[1610] * vX_[1340] - vX_[1630] * vX_[877] - vX_[1627] * vX_[82]) / vX_[1657];
+ vX_[974] = (vX_[1617] * vX_[36] + vX_[1618] * vX_[631] - vX_[1587] * vX_[1340] - vX_[1611] * vX_[877] - vX_[1575] * vX_[82] - vX_[1629] * vX_[425]) / vX_[1654];
+ vX_[631] = (vX_[450] * vX_[36] + vX_[1670] * vX_[631] - vX_[748] * vX_[1340] - vX_[1626] * vX_[877] - vX_[484] * vX_[82] - vX_[1664] * vX_[425] - vX_[1584] * vX_[974]) / vX_[1656];
+ jac[923] = - vX_[631];
+ vX_[974] = vX_[974] - vX_[1666] * vX_[631];
+ jac[922] = - vX_[974];
+ vX_[425] = vX_[425] - vX_[1665] * vX_[631] - vX_[1599] * vX_[974];
+ jac[921] = - vX_[425];
+ vX_[82] = vX_[82] - vX_[1614] * vX_[974] - vX_[1628] * vX_[425] - vX_[1660] * vX_[631];
+ jac[920] = - vX_[82];
+ vX_[1340] = vX_[1340] - vX_[1619] * vX_[425] - vX_[1565] * vX_[82] - vX_[1613] * vX_[974] - vX_[1659] * vX_[631];
+ jac[918] = vX_[584] * vX_[82] + vX_[1567] * vX_[1340] + vX_[1593] * vX_[425] + vX_[1612] * vX_[974] + vX_[1658] * vX_[631] - vX_[877];
+ jac[919] = - vX_[1340];
+ vX_[1340] = -1 * jac[918];
+ vX_[82] = vX_[450] * jac[920] + vX_[370] * jac[919];
+ vX_[425] = vX_[370] * jac[920] + vX_[451] * jac[919];
+ vX_[974] = -1 * jac[921];
+ vX_[631] = 0.207 * jac[920] + vX_[974];
+ vX_[877] = vX_[1481] * jac[920] + vX_[1572] * jac[919] + vX_[448] * jac[918] + vX_[1670] * jac[923] + vX_[1618] * jac[922];
+ jac[924] = (vX_[392] - vX_[445] * vX_[1340] - vX_[482] * vX_[82] - vX_[440] * vX_[425] - vX_[467] * vX_[631] - vX_[459] * (vX_[453] * jac[920] + vX_[452] * jac[919] + vX_[1573] * jac[918] + vX_[450] * jac[923] + vX_[1617] * jac[922]) - vX_[443] * vX_[877]) / vX_[445];
+ vX_[392] = -1 * vX_[82];
+ vX_[36] = vX_[1340] + jac[924];
+ vX_[1438] = vX_[371] * vX_[631] + vX_[1562] * vX_[877] + vX_[1275] * vX_[82] + vX_[1438];
+ vX_[877] = vX_[398] * vX_[631] + vX_[371] * vX_[877] + vX_[419] * vX_[82] + vX_[1455];
+ jac[925] = (vX_[434] - vX_[395] * vX_[392] - vX_[402] * (vX_[371] * vX_[36] + vX_[399] * vX_[425] + vX_[614]) - vX_[383] * (vX_[398] * vX_[36] + vX_[371] * vX_[425] + vX_[866]) - vX_[393] * vX_[1438] - vX_[406] * vX_[877]) / vX_[395];
+ vX_[392] = vX_[392] + jac[925];
+ jac[926] = (vX_[845] - 0.1104774 * (vX_[372] * vX_[1438] + vX_[1520] * vX_[877] + vX_[1517] * vX_[392] + vX_[646]) - -0.0004405 * (vX_[374] * vX_[1438] + vX_[372] * vX_[877] + vX_[377] * vX_[392] + vX_[27]) - 0.026181 * vX_[392]) / 0.026181;
+ vX_[392] = vX_[328] * jac[920] + vX_[249] * jac[919];
+ vX_[877] = vX_[330] * jac[920] + vX_[328] * jac[919];
+ vX_[1438] = 0.207 * jac[920] + jac[921];
+ vX_[845] = vX_[1318] * jac[920] + vX_[1571] * jac[919] + vX_[327] * jac[918] + vX_[1669] * jac[923] + vX_[328] * jac[922];
+ jac[927] = (0 - vX_[324] * jac[918] - vX_[360] * vX_[392] - vX_[319] * vX_[877] - vX_[345] * vX_[1438] - vX_[337] * (vX_[331] * jac[920] + vX_[329] * jac[919] + vX_[368] * jac[918] + vX_[328] * jac[923] + vX_[249] * jac[922]) - vX_[322] * vX_[845]) / vX_[324];
+ vX_[27] = jac[918] + jac[927];
+ vX_[646] = vX_[1229] * vX_[1438] + vX_[1319] * vX_[845] + vX_[1274] * vX_[392];
+ vX_[845] = vX_[698] * vX_[1438] + vX_[250] * vX_[845] + vX_[299] * vX_[392];
+ jac[928] = (0 - vX_[274] * vX_[392] - vX_[281] * (vX_[297] * vX_[27] + vX_[278] * vX_[877]) - vX_[262] * (vX_[278] * vX_[27] + vX_[250] * vX_[877]) - vX_[272] * vX_[646] - vX_[285] * vX_[845]) / vX_[274];
+ vX_[392] = vX_[392] + jac[928];
+ jac[929] = (0 - 0.1104774 * (vX_[251] * vX_[646] + vX_[1276] * vX_[845] + vX_[1252] * vX_[392]) - -0.0004405 * (vX_[253] * vX_[646] + vX_[251] * vX_[845] + vX_[256] * vX_[392]) - 0.026181 * vX_[392]) / 0.026181;
+ vX_[392] = vX_[208] * jac[920] + vX_[138] * jac[919];
+ vX_[845] = vX_[138] * jac[920] + vX_[209] * jac[919];
+ vX_[974] = 0.207 * jac[920] + vX_[974];
+ vX_[646] = vX_[998] * jac[920] + vX_[1570] * jac[919] + vX_[206] * jac[918] + vX_[1668] * jac[923] + vX_[1616] * jac[922];
+ jac[930] = (0 - vX_[203] * vX_[1340] - vX_[240] * vX_[392] - vX_[198] * vX_[845] - vX_[225] * vX_[974] - vX_[217] * (vX_[211] * jac[920] + vX_[210] * jac[919] + vX_[248] * jac[918] + vX_[208] * jac[923] + vX_[1615] * jac[922]) - vX_[201] * vX_[646]) / vX_[203];
+ vX_[27] = -1 * vX_[392];
+ vX_[1340] = vX_[1340] + jac[930];
+ vX_[877] = vX_[139] * vX_[974] + vX_[1079] * vX_[646] + vX_[790] * vX_[392];
+ vX_[646] = vX_[159] * vX_[974] + vX_[139] * vX_[646] + vX_[177] * vX_[392];
+ jac[931] = (0 - vX_[156] * vX_[27] - 2.1e-05 * (vX_[139] * vX_[1340] + vX_[160] * vX_[845]) - -0.000102 * (vX_[159] * vX_[1340] + vX_[139] * vX_[845]) - vX_[154] * vX_[877] - vX_[164] * vX_[646]) / vX_[156];
+ vX_[27] = vX_[27] + jac[931];
+ jac[932] = (0 - 0.110125 * (vX_[142] * vX_[877] + vX_[1037] * vX_[646] + vX_[1034] * vX_[27]) - 0.000881 * (vX_[140] * vX_[877] + vX_[142] * vX_[646] + vX_[141] * vX_[27]) - 0.026181 * vX_[27]) / 0.026181;
+ vX_[27] = vX_[96] * jac[920] + vX_[26] * jac[919];
+ vX_[646] = vX_[98] * jac[920] + vX_[96] * jac[919];
+ vX_[877] = 0.207 * jac[920] + jac[921];
+ vX_[1340] = vX_[834] * jac[920] + vX_[1569] * jac[919] + vX_[95] * jac[918] + vX_[1667] * jac[923] + vX_[96] * jac[922];
+ jac[933] = (0 - vX_[92] * jac[918] - vX_[128] * vX_[27] - vX_[87] * vX_[646] - vX_[113] * vX_[877] - vX_[105] * (vX_[99] * jac[920] + vX_[97] * jac[919] + vX_[136] * jac[918] + vX_[96] * jac[923] + vX_[26] * jac[922]) - vX_[90] * vX_[1340]) / vX_[92];
+ vX_[845] = jac[918] + jac[933];
+ vX_[974] = vX_[746] * vX_[877] + vX_[835] * vX_[1340] + vX_[789] * vX_[27];
+ vX_[1340] = vX_[613] * vX_[877] + vX_[13] * vX_[1340] + vX_[67] * vX_[27];
+ jac[934] = (0 - vX_[42] * vX_[27] - vX_[49] * (vX_[65] * vX_[845] + vX_[46] * vX_[646]) - vX_[30] * (vX_[46] * vX_[845] + vX_[13] * vX_[646]) - vX_[40] * vX_[974] - vX_[53] * vX_[1340]) / vX_[42];
+ vX_[27] = vX_[27] + jac[934];
+ jac[935] = (0 - 0.1104774 * (vX_[15] * vX_[974] + vX_[791] * vX_[1340] + vX_[766] * vX_[27]) - 0.0004405 * (vX_[23] * vX_[974] + vX_[15] * vX_[1340] + vX_[25] * vX_[27]) - 0.026181 * vX_[27]) / 0.026181;
+ vX_[1425] = -1000. * (vX_[1365] * vX_[1370] + vX_[1399] * vX_[1404] + vX_[1425] * vX_[1428]) * vX_[1474];
+ vX_[1493] = -1000. * (vX_[1398] * vX_[1370] + vX_[1364] * vX_[1404] + vX_[1493] * vX_[1428]) * vX_[1474];
+ vX_[1396] = -1000. * (vX_[1424] * vX_[1370] + vX_[1492] * vX_[1404] + vX_[1396] * vX_[1428]) * vX_[1474];
+ vX_[1495] = vX_[1347] * vX_[1425] + vX_[1490] * vX_[1493] + vX_[1495] * vX_[1396];
+ vX_[1488] = vX_[1501] * vX_[1425] + vX_[1475] * vX_[1493] + vX_[1488] * vX_[1396];
+ vX_[1475] = vX_[1325] * vX_[1495] - vX_[1498] * vX_[1488];
+ vX_[1396] = vX_[1356] * vX_[1425] + vX_[1346] * vX_[1493] + vX_[1500] * vX_[1396];
+ vX_[1325] = vX_[1504] * vX_[1488] - vX_[1325] * vX_[1396];
+ vX_[1493] = 0 - vX_[1487];
+ vX_[1482] = 0.1104774 * vX_[1466] - vX_[1321] * vX_[1475] - vX_[369] * vX_[1325] - vX_[1348] * vX_[1396] - vX_[1477] * vX_[1495] - vX_[1482] * vX_[1488] - 0.0004405 * vX_[1493];
+ vX_[1477] = 0 - vX_[1482];
+ vX_[593] = vX_[593] + vX_[593];
+ vX_[1489] = -0.881 * (0 - vX_[1466]) + -8.81e-05 * vX_[1392] + 0.414812462825713 * vX_[1445] + 0.00185880198235362 * vX_[1487] + 8.81e-05 * vX_[1392] + (0.1104774 * vX_[1477]) / 0.026181 - vX_[1489] * vX_[1396] - vX_[1507] * vX_[1495] - vX_[1508] * vX_[1488] - 0.0004405 * vX_[593];
+ vX_[593] = 0.881 * vX_[1493] + -8.81e-05 * vX_[1147] + 0.00185880198235362 * vX_[1445] + 0.880992588508842 * vX_[1487] + -8.81e-05 * vX_[1394] + (-0.0004405 * vX_[1477]) / 0.026181 - vX_[1511] * vX_[1396] - vX_[1512] * vX_[1495] - vX_[1515] * vX_[1488] - 0.1104774 * vX_[593];
+ vX_[1482] = (0.026181 * vX_[1477]) / 0.026181 + vX_[1482] + vX_[1517] * vX_[1489] + vX_[377] * vX_[593];
+ vX_[1515] = 0 - vX_[1482];
+ vX_[1511] = vX_[372] * vX_[1489] + vX_[374] * vX_[593] + (vX_[393] * vX_[1515]) / vX_[395];
+ vX_[593] = vX_[1520] * vX_[1489] + vX_[372] * vX_[593] + (vX_[406] * vX_[1515]) / vX_[395];
+ vX_[1504] = vX_[1498] * vX_[1396] - vX_[1504] * vX_[1495];
+ vX_[1493] = -8.81e-05 * vX_[1493] + -8.81e-05 * vX_[1487] + 0.026409 * vX_[1394] - vX_[1521] * vX_[1475] - vX_[1507] * vX_[1325] - vX_[1508] * vX_[1504] - vX_[1529] * vX_[1396] - vX_[1536] * vX_[1495] - vX_[1541] * vX_[1488] - 0.025713 * vX_[1147];
+ vX_[1504] = -8.81e-05 * (0 - vX_[1466]) + -0.000227999999999999 * vX_[1392] + 8.81e-05 * vX_[1445] + 0.000468 * vX_[1392] - vX_[1510] * vX_[1475] - vX_[1512] * vX_[1325] - vX_[1514] * vX_[1504] - vX_[1550] * vX_[1396] - vX_[1557] * vX_[1495] - vX_[1561] * vX_[1488];
+ vX_[1396] = 0.1104774 * vX_[1147] + 0.0004405 * vX_[1392] + -0.1104774 * vX_[1394] + 0.0004405 * vX_[1392] - vX_[1326] * vX_[1396] - vX_[369] * vX_[1495];
+ vX_[1495] = vX_[372] * vX_[1493] + vX_[374] * vX_[1504] + -0.35 * vX_[1396] + (vX_[402] * vX_[1515]) / vX_[395];
+ vX_[1504] = vX_[375] * vX_[1493] + vX_[372] * vX_[1504] + (vX_[383] * vX_[1515]) / vX_[395];
+ vX_[1493] = vX_[371] * vX_[1495] + vX_[398] * vX_[1504] + -0.08 * vX_[1396];
+ vX_[375] = 0 - vX_[1493];
+ vX_[1482] = vX_[1275] * vX_[1511] + vX_[419] * vX_[593] + -1 * (vX_[1482] + (vX_[395] * vX_[1515]) / vX_[395]) + (vX_[482] * vX_[375]) / vX_[445];
+ vX_[1504] = vX_[399] * vX_[1495] + vX_[371] * vX_[1504] + (vX_[440] * vX_[375]) / vX_[445];
+ vX_[1495] = vX_[371] * vX_[1511] + vX_[398] * vX_[593] + (vX_[467] * vX_[375]) / vX_[445];
+ vX_[1396] = -1 * vX_[1396] + (vX_[459] * vX_[375]) / vX_[445];
+ vX_[593] = vX_[1562] * vX_[1511] + vX_[371] * vX_[593] + (vX_[443] * vX_[375]) / vX_[445];
+ vX_[1493] = (vX_[1573] * vX_[1396] + vX_[448] * vX_[593] + -1 * (vX_[1493] + (vX_[445] * vX_[375]) / vX_[445])) / vX_[583];
+ vX_[1511] = (vX_[370] * vX_[1482] + vX_[451] * vX_[1504] + vX_[452] * vX_[1396] + vX_[1572] * vX_[593] - vX_[1566] * vX_[1493]) / vX_[580];
+ vX_[1504] = (vX_[450] * vX_[1482] + vX_[370] * vX_[1504] + 0.207 * vX_[1495] + vX_[453] * vX_[1396] + vX_[1481] * vX_[593] - vX_[1568] * vX_[1511] - vX_[490] * vX_[1493]) / vX_[582];
+ vX_[1495] = (-1 * vX_[1495] - vX_[1610] * vX_[1511] - vX_[1630] * vX_[1493] - vX_[1627] * vX_[1504]) / vX_[1657];
+ vX_[1482] = (vX_[1617] * vX_[1396] + vX_[1618] * vX_[593] - vX_[1587] * vX_[1511] - vX_[1611] * vX_[1493] - vX_[1575] * vX_[1504] - vX_[1629] * vX_[1495]) / vX_[1654];
+ vX_[593] = (vX_[450] * vX_[1396] + vX_[1670] * vX_[593] - vX_[748] * vX_[1511] - vX_[1626] * vX_[1493] - vX_[484] * vX_[1504] - vX_[1664] * vX_[1495] - vX_[1584] * vX_[1482]) / vX_[1656];
+ jac[959] = - vX_[593];
+ vX_[1482] = vX_[1482] - vX_[1666] * vX_[593];
+ jac[958] = - vX_[1482];
+ vX_[1495] = vX_[1495] - vX_[1665] * vX_[593] - vX_[1599] * vX_[1482];
+ jac[957] = - vX_[1495];
+ vX_[1504] = vX_[1504] - vX_[1614] * vX_[1482] - vX_[1628] * vX_[1495] - vX_[1660] * vX_[593];
+ jac[956] = - vX_[1504];
+ vX_[1511] = vX_[1511] - vX_[1619] * vX_[1495] - vX_[1565] * vX_[1504] - vX_[1613] * vX_[1482] - vX_[1659] * vX_[593];
+ jac[954] = vX_[584] * vX_[1504] + vX_[1567] * vX_[1511] + vX_[1593] * vX_[1495] + vX_[1612] * vX_[1482] + vX_[1658] * vX_[593] - vX_[1493];
+ jac[955] = - vX_[1511];
+ vX_[1511] = -1 * jac[954];
+ vX_[1504] = vX_[450] * jac[956] + vX_[370] * jac[955];
+ vX_[1495] = vX_[370] * jac[956] + vX_[451] * jac[955];
+ vX_[1482] = -1 * jac[957];
+ vX_[593] = 0.207 * jac[956] + vX_[1482];
+ vX_[1493] = vX_[1481] * jac[956] + vX_[1572] * jac[955] + vX_[448] * jac[954] + vX_[1670] * jac[959] + vX_[1618] * jac[958];
+ jac[960] = (vX_[375] - vX_[445] * vX_[1511] - vX_[482] * vX_[1504] - vX_[440] * vX_[1495] - vX_[467] * vX_[593] - vX_[459] * (vX_[453] * jac[956] + vX_[452] * jac[955] + vX_[1573] * jac[954] + vX_[450] * jac[959] + vX_[1617] * jac[958]) - vX_[443] * vX_[1493]) / vX_[445];
+ vX_[375] = -1 * vX_[1504];
+ vX_[1396] = vX_[1511] + jac[960];
+ vX_[1394] = vX_[371] * vX_[593] + vX_[1562] * vX_[1493] + vX_[1275] * vX_[1504];
+ vX_[1493] = vX_[398] * vX_[593] + vX_[371] * vX_[1493] + vX_[419] * vX_[1504];
+ jac[961] = (vX_[1515] - vX_[395] * vX_[375] - vX_[402] * (vX_[371] * vX_[1396] + vX_[399] * vX_[1495]) - vX_[383] * (vX_[398] * vX_[1396] + vX_[371] * vX_[1495]) - vX_[393] * vX_[1394] - vX_[406] * vX_[1493]) / vX_[395];
+ vX_[375] = vX_[375] + jac[961];
+ jac[962] = (vX_[1477] - 0.1104774 * (vX_[372] * vX_[1394] + vX_[1520] * vX_[1493] + vX_[1517] * vX_[375] + vX_[1445]) - -0.0004405 * (vX_[374] * vX_[1394] + vX_[372] * vX_[1493] + vX_[377] * vX_[375] + vX_[1487]) - 0.026181 * vX_[375]) / 0.026181;
+ vX_[375] = vX_[328] * jac[956] + vX_[249] * jac[955];
+ vX_[1493] = vX_[330] * jac[956] + vX_[328] * jac[955];
+ vX_[1394] = 0.207 * jac[956] + jac[957];
+ vX_[1477] = vX_[1318] * jac[956] + vX_[1571] * jac[955] + vX_[327] * jac[954] + vX_[1669] * jac[959] + vX_[328] * jac[958];
+ jac[963] = (0 - vX_[324] * jac[954] - vX_[360] * vX_[375] - vX_[319] * vX_[1493] - vX_[345] * vX_[1394] - vX_[337] * (vX_[331] * jac[956] + vX_[329] * jac[955] + vX_[368] * jac[954] + vX_[328] * jac[959] + vX_[249] * jac[958]) - vX_[322] * vX_[1477]) / vX_[324];
+ vX_[1445] = jac[954] + jac[963];
+ vX_[1487] = vX_[1229] * vX_[1394] + vX_[1319] * vX_[1477] + vX_[1274] * vX_[375];
+ vX_[1477] = vX_[698] * vX_[1394] + vX_[250] * vX_[1477] + vX_[299] * vX_[375];
+ jac[964] = (0 - vX_[274] * vX_[375] - vX_[281] * (vX_[297] * vX_[1445] + vX_[278] * vX_[1493]) - vX_[262] * (vX_[278] * vX_[1445] + vX_[250] * vX_[1493]) - vX_[272] * vX_[1487] - vX_[285] * vX_[1477]) / vX_[274];
+ vX_[375] = vX_[375] + jac[964];
+ jac[965] = (0 - 0.1104774 * (vX_[251] * vX_[1487] + vX_[1276] * vX_[1477] + vX_[1252] * vX_[375]) - -0.0004405 * (vX_[253] * vX_[1487] + vX_[251] * vX_[1477] + vX_[256] * vX_[375]) - 0.026181 * vX_[375]) / 0.026181;
+ vX_[375] = vX_[208] * jac[956] + vX_[138] * jac[955];
+ vX_[1477] = vX_[138] * jac[956] + vX_[209] * jac[955];
+ vX_[1482] = 0.207 * jac[956] + vX_[1482];
+ vX_[1487] = vX_[998] * jac[956] + vX_[1570] * jac[955] + vX_[206] * jac[954] + vX_[1668] * jac[959] + vX_[1616] * jac[958];
+ jac[966] = (0 - vX_[203] * vX_[1511] - vX_[240] * vX_[375] - vX_[198] * vX_[1477] - vX_[225] * vX_[1482] - vX_[217] * (vX_[211] * jac[956] + vX_[210] * jac[955] + vX_[248] * jac[954] + vX_[208] * jac[959] + vX_[1615] * jac[958]) - vX_[201] * vX_[1487]) / vX_[203];
+ vX_[1445] = -1 * vX_[375];
+ vX_[1511] = vX_[1511] + jac[966];
+ vX_[1493] = vX_[139] * vX_[1482] + vX_[1079] * vX_[1487] + vX_[790] * vX_[375];
+ vX_[1487] = vX_[159] * vX_[1482] + vX_[139] * vX_[1487] + vX_[177] * vX_[375];
+ jac[967] = (0 - vX_[156] * vX_[1445] - 2.1e-05 * (vX_[139] * vX_[1511] + vX_[160] * vX_[1477]) - -0.000102 * (vX_[159] * vX_[1511] + vX_[139] * vX_[1477]) - vX_[154] * vX_[1493] - vX_[164] * vX_[1487]) / vX_[156];
+ vX_[1445] = vX_[1445] + jac[967];
+ jac[968] = (0 - 0.110125 * (vX_[142] * vX_[1493] + vX_[1037] * vX_[1487] + vX_[1034] * vX_[1445]) - 0.000881 * (vX_[140] * vX_[1493] + vX_[142] * vX_[1487] + vX_[141] * vX_[1445]) - 0.026181 * vX_[1445]) / 0.026181;
+ vX_[1445] = vX_[96] * jac[956] + vX_[26] * jac[955];
+ vX_[1487] = vX_[98] * jac[956] + vX_[96] * jac[955];
+ vX_[1493] = 0.207 * jac[956] + jac[957];
+ vX_[1511] = vX_[834] * jac[956] + vX_[1569] * jac[955] + vX_[95] * jac[954] + vX_[1667] * jac[959] + vX_[96] * jac[958];
+ jac[969] = (0 - vX_[92] * jac[954] - vX_[128] * vX_[1445] - vX_[87] * vX_[1487] - vX_[113] * vX_[1493] - vX_[105] * (vX_[99] * jac[956] + vX_[97] * jac[955] + vX_[136] * jac[954] + vX_[96] * jac[959] + vX_[26] * jac[958]) - vX_[90] * vX_[1511]) / vX_[92];
+ vX_[1477] = jac[954] + jac[969];
+ vX_[1482] = vX_[746] * vX_[1493] + vX_[835] * vX_[1511] + vX_[789] * vX_[1445];
+ vX_[1511] = vX_[613] * vX_[1493] + vX_[13] * vX_[1511] + vX_[67] * vX_[1445];
+ jac[970] = (0 - vX_[42] * vX_[1445] - vX_[49] * (vX_[65] * vX_[1477] + vX_[46] * vX_[1487]) - vX_[30] * (vX_[46] * vX_[1477] + vX_[13] * vX_[1487]) - vX_[40] * vX_[1482] - vX_[53] * vX_[1511]) / vX_[42];
+ vX_[1445] = vX_[1445] + jac[970];
+ jac[971] = (0 - 0.1104774 * (vX_[15] * vX_[1482] + vX_[791] * vX_[1511] + vX_[766] * vX_[1445]) - 0.0004405 * (vX_[23] * vX_[1482] + vX_[15] * vX_[1511] + vX_[25] * vX_[1445]) - 0.026181 * vX_[1445]) / 0.026181;
+ vX_[1445] = 0 - vX_[595];
+ vX_[1441] = vX_[1441] + vX_[1441];
+ vX_[1511] = vX_[1190] * 0.08 + vX_[278] * vX_[957];
+ vX_[1482] = vX_[1190] * vX_[297] + vX_[278] * vX_[1328];
+ vX_[1477] = vX_[278] * vX_[847];
+ vX_[1487] = -0.35 * vX_[297] + 0.08;
+ vX_[1493] = vX_[251] * vX_[278] + vX_[253] * vX_[297];
+ vX_[375] = vX_[700] * vX_[1487] + vX_[1493] * vX_[863];
+ vX_[1394] = vX_[254] * vX_[278] + vX_[251] * vX_[297];
+ vX_[1396] = vX_[700] * vX_[1394] + vX_[1493] * vX_[1084];
+ vX_[1495] = -1000. * (vX_[1118] * vX_[1135] + vX_[1153] * vX_[1169]) * vX_[1228];
+ vX_[1515] = -1000. * (vX_[1152] * vX_[1135] + vX_[1117] * vX_[1169]) * vX_[1228];
+ vX_[1169] = -1000. * (vX_[1178] * vX_[1135] + vX_[1245] * vX_[1169]) * vX_[1228];
+ vX_[1135] = vX_[1103] * vX_[1495] + vX_[1243] * vX_[1515] + vX_[1248] * vX_[1169];
+ vX_[593] = vX_[1254] * vX_[1495] + vX_[1232] * vX_[1515] + vX_[1241] * vX_[1169];
+ vX_[1504] = vX_[1081] * vX_[1135] - vX_[1251] * vX_[593];
+ vX_[1169] = vX_[740] * vX_[1495] + vX_[1102] * vX_[1515] + vX_[1253] * vX_[1169];
+ vX_[1515] = vX_[1257] * vX_[593] - vX_[1081] * vX_[1169];
+ vX_[1487] = vX_[1084] * vX_[1487] + vX_[1394] * vX_[863];
+ vX_[863] = 0.1104774 * (0 - vX_[375]) + 0.025941 * vX_[1396] - vX_[328] * vX_[1504] - vX_[249] * vX_[1515] - vX_[1105] * vX_[1169] - vX_[1230] * vX_[1135] - vX_[1235] * vX_[593] - 0.0004405 * vX_[1487];
+ vX_[1495] = 0 - vX_[863];
+ vX_[1392] = vX_[1394] * vX_[953];
+ vX_[1147] = vX_[1394] * x_in[29];
+ vX_[1326] = vX_[700] * vX_[1493] + vX_[1493] * vX_[700];
+ vX_[369] = -0.881 * vX_[375] + 0.1104774 * vX_[1396] + -8.81e-05 * vX_[1392] + 8.81e-05 * vX_[1147] + (0.1104774 * vX_[1495]) / 0.026181 - vX_[1258] * vX_[1169] - vX_[1263] * vX_[1135] - vX_[1265] * vX_[593] - 0.0004405 * vX_[1326];
+ vX_[1325] = vX_[1493] * vX_[953];
+ vX_[1475] = (- vX_[1493]) * x_in[29];
+ vX_[1488] = vX_[1084] * vX_[1394] + vX_[1394] * vX_[1084];
+ vX_[1396] = 0.881 * vX_[1487] + -8.81e-05 * vX_[1325] + 0.0004405 * vX_[1396] + -8.81e-05 * vX_[1475] + (-0.0004405 * vX_[1495]) / 0.026181 - vX_[1267] * vX_[1169] - vX_[1269] * vX_[1135] - vX_[1271] * vX_[593] - 0.1104774 * vX_[1488];
+ vX_[957] = vX_[1328] * 0.08 + vX_[297] * vX_[957];
+ vX_[1466] = vX_[297] * vX_[847];
+ vX_[1561] = vX_[1328] * vX_[297] + vX_[297] * vX_[1328];
+ vX_[1557] = vX_[1190] * vX_[278] + vX_[278] * vX_[1190];
+ vX_[863] = 0.47422804 * (0 - vX_[1511]) + 0.081641 * vX_[1482] + 2.1e-05 * vX_[1477] + (0.026181 * vX_[1495]) / 0.026181 + vX_[863] + vX_[1252] * vX_[369] + vX_[256] * vX_[1396] - -0.0825825 * vX_[957] - 0.000102 * vX_[1466] - 0.007418 * (vX_[1561] - vX_[1557]);
+ vX_[1550] = 0 - vX_[863];
+ vX_[1514] = (- vX_[278]) * x_in[28];
+ vX_[1510] = vX_[297] * x_in[28];
+ vX_[1511] = -3.146 * vX_[1511] + 0.47422804 * vX_[1482] + vX_[251] * vX_[369] + vX_[253] * vX_[1396] + vX_[282] * vX_[1514] + vX_[276] * vX_[1510] + (vX_[272] * vX_[1550]) / vX_[274] - -0.0825825 * vX_[1557];
+ vX_[957] = 3.146 * vX_[957] + -0.0825825 * vX_[1482] + vX_[1276] * vX_[369] + vX_[251] * vX_[1396] + vX_[288] * vX_[1514] + vX_[287] * vX_[1510] + (vX_[285] * vX_[1550]) / vX_[274] - 0.47422804 * vX_[1561];
+ vX_[1396] = vX_[1251] * vX_[1169] - vX_[1257] * vX_[1135];
+ vX_[1394] = vX_[1493] * vX_[1516] - vX_[1394] * vX_[1434];
+ vX_[1487] = -8.81e-05 * vX_[1487] + 0.026409 * vX_[1475] - vX_[1258] * vX_[1504] - vX_[1262] * vX_[1515] - vX_[1264] * vX_[1396] - vX_[1285] * vX_[1169] - vX_[1292] * vX_[1135] - vX_[1297] * vX_[593] - 0.1104774 * vX_[1394] - 0.025713 * vX_[1325];
+ vX_[1396] = 0.0004405 * vX_[1394] + -8.81e-05 * vX_[375] + -0.000227999999999999 * vX_[1392] + 0.000468 * vX_[1147] - vX_[1267] * vX_[1504] - vX_[1269] * vX_[1515] - vX_[1271] * vX_[1396] - vX_[1305] * vX_[1169] - vX_[1312] * vX_[1135] - vX_[1317] * vX_[593];
+ vX_[1394] = 0.881 * vX_[1394] + 0.1104774 * vX_[1325] + 0.0004405 * vX_[1392] + -0.1104774 * vX_[1475] + 0.0004405 * vX_[1147] - vX_[328] * vX_[1169] - vX_[249] * vX_[1135] - -8.81e-05 * (vX_[1488] + vX_[1326]);
+ vX_[1488] = vX_[278] * vX_[846] - vX_[297] * vX_[842];
+ vX_[1557] = 0.007418 * vX_[1466] + 0.000102 * (0 - vX_[1557]) + vX_[251] * vX_[1487] + vX_[253] * vX_[1396] + -0.35 * vX_[1394] + vX_[304] * vX_[1514] + vX_[296] * vX_[1510] + (vX_[281] * vX_[1550]) / vX_[274] - 0.47422804 * vX_[1488] - 0.084376 * vX_[1477] - 2.1e-05 * vX_[1482];
+ vX_[1396] = 0.002735 * vX_[1466] + -0.0825825 * vX_[1488] + 0.000102 * vX_[1482] + vX_[254] * vX_[1487] + vX_[251] * vX_[1396] + vX_[296] * vX_[1514] + vX_[303] * vX_[1510] + (vX_[262] * vX_[1550]) / vX_[274] - 0.007418 * vX_[1477] - 2.1e-05 * (0 - vX_[1561]);
+ vX_[1488] = 0.47422804 * vX_[1477] + 3.146 * vX_[1488] + -0.0825825 * vX_[1466] + vX_[1394] + vX_[271] * vX_[1514] + vX_[284] * vX_[1510];
+ vX_[1394] = 0.1466472 * vX_[1089] + -5.1e-05 * vX_[1198] + vX_[297] * vX_[1557] + vX_[278] * vX_[1396] + 0.08 * vX_[1488] - 0.022734 * vX_[1327];
+ vX_[1466] = 0 - vX_[1394];
+ vX_[863] = -0.5824264 * vX_[1445] + 3.6e-05 * vX_[1327] + 0.022734 * vX_[1441] + (vX_[274] * vX_[1550]) / vX_[274] + vX_[863] + vX_[1274] * vX_[1511] + vX_[299] * vX_[957] + vX_[521] * vX_[1082] + vX_[566] * vX_[1327] + vX_[361] * vX_[1684] + vX_[350] * vX_[595] + (vX_[360] * vX_[1466]) / vX_[324] - -0.123672 * vX_[1198];
+ vX_[1396] = -0.133138 * vX_[1327] + -0.5824264 * (0 - vX_[1089]) + vX_[278] * vX_[1557] + vX_[250] * vX_[1396] + vX_[566] * vX_[1082] + vX_[323] * vX_[1327] + vX_[351] * vX_[1684] + vX_[326] * vX_[595] + (vX_[319] * vX_[1466]) / vX_[324] - 3.6e-05 * vX_[1198] - -5.1e-05 * vX_[1441];
+ vX_[313] = 0.1466472 * vX_[1198] + vX_[1229] * vX_[1511] + vX_[698] * vX_[957] + vX_[336] * vX_[1082] + vX_[313] * vX_[1327] + vX_[354] * vX_[1684] + vX_[347] * vX_[595] + (vX_[345] * vX_[1466]) / vX_[324];
+ vX_[1488] = -3.44 * (0 - vX_[1089]) + -0.5824264 * vX_[1327] + vX_[1488] + vX_[361] * vX_[1082] + vX_[351] * vX_[1327] + vX_[353] * vX_[1684] + vX_[339] * vX_[595] + (vX_[337] * vX_[1466]) / vX_[324];
+ vX_[957] = 3.44 * vX_[1445] + -0.5824264 * vX_[1198] + vX_[1319] * vX_[1511] + vX_[250] * vX_[957] + vX_[350] * vX_[1082] + vX_[326] * vX_[1327] + vX_[339] * vX_[1684] + vX_[365] * vX_[595] + (vX_[322] * vX_[1466]) / vX_[324] - 0.1466472 * vX_[1441];
+ vX_[1394] = ((vX_[324] * vX_[1466]) / vX_[324] + vX_[1394] + vX_[368] * vX_[1488] + vX_[327] * vX_[957]) / vX_[583];
+ vX_[1511] = (vX_[249] * vX_[863] + vX_[328] * vX_[1396] + vX_[329] * vX_[1488] + vX_[1571] * vX_[957] - vX_[1566] * vX_[1394]) / vX_[580];
+ vX_[1396] = (vX_[328] * vX_[863] + vX_[330] * vX_[1396] + 0.207 * vX_[313] + vX_[331] * vX_[1488] + vX_[1318] * vX_[957] - vX_[1568] * vX_[1511] - vX_[490] * vX_[1394]) / vX_[582];
+ vX_[313] = (vX_[313] - vX_[1610] * vX_[1511] - vX_[1630] * vX_[1394] - vX_[1627] * vX_[1396]) / vX_[1657];
+ vX_[863] = (vX_[249] * vX_[1488] + vX_[328] * vX_[957] - vX_[1587] * vX_[1511] - vX_[1611] * vX_[1394] - vX_[1575] * vX_[1396] - vX_[1629] * vX_[313]) / vX_[1654];
+ vX_[957] = (vX_[328] * vX_[1488] + vX_[1669] * vX_[957] - vX_[748] * vX_[1511] - vX_[1626] * vX_[1394] - vX_[484] * vX_[1396] - vX_[1664] * vX_[313] - vX_[1584] * vX_[863]) / vX_[1656];
+ jac[995] = - vX_[957];
+ vX_[863] = vX_[863] - vX_[1666] * vX_[957];
+ jac[994] = - vX_[863];
+ vX_[313] = vX_[313] - vX_[1665] * vX_[957] - vX_[1599] * vX_[863];
+ jac[993] = - vX_[313];
+ vX_[1396] = vX_[1396] - vX_[1614] * vX_[863] - vX_[1628] * vX_[313] - vX_[1660] * vX_[957];
+ jac[992] = - vX_[1396];
+ vX_[1511] = vX_[1511] - vX_[1619] * vX_[313] - vX_[1565] * vX_[1396] - vX_[1613] * vX_[863] - vX_[1659] * vX_[957];
+ jac[990] = vX_[584] * vX_[1396] + vX_[1567] * vX_[1511] + vX_[1593] * vX_[313] + vX_[1612] * vX_[863] + vX_[1658] * vX_[957] - vX_[1394];
+ jac[991] = - vX_[1511];
+ vX_[1511] = -1 * jac[990];
+ vX_[1396] = vX_[450] * jac[992] + vX_[370] * jac[991];
+ vX_[313] = vX_[370] * jac[992] + vX_[451] * jac[991];
+ vX_[863] = -1 * jac[993];
+ vX_[957] = 0.207 * jac[992] + vX_[863];
+ vX_[1394] = vX_[1481] * jac[992] + vX_[1572] * jac[991] + vX_[448] * jac[990] + vX_[1670] * jac[995] + vX_[1618] * jac[994];
+ jac[996] = (0 - vX_[445] * vX_[1511] - vX_[482] * vX_[1396] - vX_[440] * vX_[313] - vX_[467] * vX_[957] - vX_[459] * (vX_[453] * jac[992] + vX_[452] * jac[991] + vX_[1573] * jac[990] + vX_[450] * jac[995] + vX_[1617] * jac[994]) - vX_[443] * vX_[1394]) / vX_[445];
+ vX_[1488] = -1 * vX_[1396];
+ vX_[1441] = vX_[1511] + jac[996];
+ vX_[1445] = vX_[371] * vX_[957] + vX_[1562] * vX_[1394] + vX_[1275] * vX_[1396];
+ vX_[1394] = vX_[398] * vX_[957] + vX_[371] * vX_[1394] + vX_[419] * vX_[1396];
+ jac[997] = (0 - vX_[395] * vX_[1488] - vX_[402] * (vX_[371] * vX_[1441] + vX_[399] * vX_[313]) - vX_[383] * (vX_[398] * vX_[1441] + vX_[371] * vX_[313]) - vX_[393] * vX_[1445] - vX_[406] * vX_[1394]) / vX_[395];
+ vX_[1488] = vX_[1488] + jac[997];
+ jac[998] = (0 - 0.1104774 * (vX_[372] * vX_[1445] + vX_[1520] * vX_[1394] + vX_[1517] * vX_[1488]) - -0.0004405 * (vX_[374] * vX_[1445] + vX_[372] * vX_[1394] + vX_[377] * vX_[1488]) - 0.026181 * vX_[1488]) / 0.026181;
+ vX_[1082] = vX_[328] * jac[992] + vX_[249] * jac[991] + vX_[1082];
+ vX_[1327] = vX_[330] * jac[992] + vX_[328] * jac[991] + vX_[1327];
+ vX_[1488] = 0.207 * jac[992] + jac[993];
+ vX_[595] = vX_[1318] * jac[992] + vX_[1571] * jac[991] + vX_[327] * jac[990] + vX_[1669] * jac[995] + vX_[328] * jac[994] + vX_[595];
+ jac[999] = (vX_[1466] - vX_[324] * jac[990] - vX_[360] * vX_[1082] - vX_[319] * vX_[1327] - vX_[345] * vX_[1488] - vX_[337] * (vX_[331] * jac[992] + vX_[329] * jac[991] + vX_[368] * jac[990] + vX_[328] * jac[995] + vX_[249] * jac[994] + vX_[1684]) - vX_[322] * vX_[595]) / vX_[324];
+ vX_[1466] = jac[990] + jac[999];
+ vX_[1684] = vX_[1229] * vX_[1488] + vX_[1319] * vX_[595] + vX_[1274] * vX_[1082];
+ vX_[595] = vX_[698] * vX_[1488] + vX_[250] * vX_[595] + vX_[299] * vX_[1082];
+ jac[1000] = (vX_[1550] - vX_[274] * vX_[1082] - vX_[281] * (vX_[297] * vX_[1466] + vX_[278] * vX_[1327] + vX_[1514]) - vX_[262] * (vX_[278] * vX_[1466] + vX_[250] * vX_[1327] + vX_[1510]) - vX_[272] * vX_[1684] - vX_[285] * vX_[595]) / vX_[274];
+ vX_[1082] = vX_[1082] + jac[1000];
+ jac[1001] = (vX_[1495] - 0.1104774 * (vX_[251] * vX_[1684] + vX_[1276] * vX_[595] + vX_[1252] * vX_[1082]) - -0.0004405 * (vX_[253] * vX_[1684] + vX_[251] * vX_[595] + vX_[256] * vX_[1082]) - 0.026181 * vX_[1082]) / 0.026181;
+ vX_[1082] = vX_[208] * jac[992] + vX_[138] * jac[991];
+ vX_[595] = vX_[138] * jac[992] + vX_[209] * jac[991];
+ vX_[863] = 0.207 * jac[992] + vX_[863];
+ vX_[1684] = vX_[998] * jac[992] + vX_[1570] * jac[991] + vX_[206] * jac[990] + vX_[1668] * jac[995] + vX_[1616] * jac[994];
+ jac[1002] = (0 - vX_[203] * vX_[1511] - vX_[240] * vX_[1082] - vX_[198] * vX_[595] - vX_[225] * vX_[863] - vX_[217] * (vX_[211] * jac[992] + vX_[210] * jac[991] + vX_[248] * jac[990] + vX_[208] * jac[995] + vX_[1615] * jac[994]) - vX_[201] * vX_[1684]) / vX_[203];
+ vX_[1495] = -1 * vX_[1082];
+ vX_[1511] = vX_[1511] + jac[1002];
+ vX_[1466] = vX_[139] * vX_[863] + vX_[1079] * vX_[1684] + vX_[790] * vX_[1082];
+ vX_[1684] = vX_[159] * vX_[863] + vX_[139] * vX_[1684] + vX_[177] * vX_[1082];
+ jac[1003] = (0 - vX_[156] * vX_[1495] - 2.1e-05 * (vX_[139] * vX_[1511] + vX_[160] * vX_[595]) - -0.000102 * (vX_[159] * vX_[1511] + vX_[139] * vX_[595]) - vX_[154] * vX_[1466] - vX_[164] * vX_[1684]) / vX_[156];
+ vX_[1495] = vX_[1495] + jac[1003];
+ jac[1004] = (0 - 0.110125 * (vX_[142] * vX_[1466] + vX_[1037] * vX_[1684] + vX_[1034] * vX_[1495]) - 0.000881 * (vX_[140] * vX_[1466] + vX_[142] * vX_[1684] + vX_[141] * vX_[1495]) - 0.026181 * vX_[1495]) / 0.026181;
+ vX_[1495] = vX_[96] * jac[992] + vX_[26] * jac[991];
+ vX_[1684] = vX_[98] * jac[992] + vX_[96] * jac[991];
+ vX_[1466] = 0.207 * jac[992] + jac[993];
+ vX_[1511] = vX_[834] * jac[992] + vX_[1569] * jac[991] + vX_[95] * jac[990] + vX_[1667] * jac[995] + vX_[96] * jac[994];
+ jac[1005] = (0 - vX_[92] * jac[990] - vX_[128] * vX_[1495] - vX_[87] * vX_[1684] - vX_[113] * vX_[1466] - vX_[105] * (vX_[99] * jac[992] + vX_[97] * jac[991] + vX_[136] * jac[990] + vX_[96] * jac[995] + vX_[26] * jac[994]) - vX_[90] * vX_[1511]) / vX_[92];
+ vX_[595] = jac[990] + jac[1005];
+ vX_[863] = vX_[746] * vX_[1466] + vX_[835] * vX_[1511] + vX_[789] * vX_[1495];
+ vX_[1511] = vX_[613] * vX_[1466] + vX_[13] * vX_[1511] + vX_[67] * vX_[1495];
+ jac[1006] = (0 - vX_[42] * vX_[1495] - vX_[49] * (vX_[65] * vX_[595] + vX_[46] * vX_[1684]) - vX_[30] * (vX_[46] * vX_[595] + vX_[13] * vX_[1684]) - vX_[40] * vX_[863] - vX_[53] * vX_[1511]) / vX_[42];
+ vX_[1495] = vX_[1495] + jac[1006];
+ jac[1007] = (0 - 0.1104774 * (vX_[15] * vX_[863] + vX_[791] * vX_[1511] + vX_[766] * vX_[1495]) - 0.0004405 * (vX_[23] * vX_[863] + vX_[15] * vX_[1511] + vX_[25] * vX_[1495]) - 0.026181 * vX_[1495]) / 0.026181;
+ vX_[1495] = vX_[953] * vX_[256] + vX_[1434];
+ vX_[1511] = -1000. * (vX_[1118] * vX_[1129] + vX_[1153] * vX_[1163] + vX_[1179] * vX_[1185]) * vX_[1228];
+ vX_[863] = -1000. * (vX_[1152] * vX_[1129] + vX_[1117] * vX_[1163] + vX_[1246] * vX_[1185]) * vX_[1228];
+ vX_[1185] = -1000. * (vX_[1178] * vX_[1129] + vX_[1245] * vX_[1163] + vX_[1150] * vX_[1185]) * vX_[1228];
+ vX_[1163] = vX_[1103] * vX_[1511] + vX_[1243] * vX_[863] + vX_[1248] * vX_[1185];
+ vX_[1129] = vX_[1254] * vX_[1511] + vX_[1232] * vX_[863] + vX_[1241] * vX_[1185];
+ vX_[595] = vX_[1081] * vX_[1163] - vX_[1251] * vX_[1129];
+ vX_[1185] = vX_[740] * vX_[1511] + vX_[1102] * vX_[863] + vX_[1253] * vX_[1185];
+ vX_[863] = vX_[1257] * vX_[1129] - vX_[1081] * vX_[1185];
+ vX_[1511] = 0 - (vX_[953] * vX_[1252] + vX_[1516]);
+ vX_[1684] = 0.1104774 * vX_[1495] - vX_[328] * vX_[595] - vX_[249] * vX_[863] - vX_[1105] * vX_[1185] - vX_[1230] * vX_[1163] - vX_[1235] * vX_[1129] - 0.0004405 * vX_[1511];
+ vX_[1466] = 0 - vX_[1684];
+ vX_[1082] = (- vX_[256]) * x_in[29];
+ vX_[1327] = vX_[1252] * x_in[29];
+ vX_[1510] = vX_[953] + vX_[953];
+ vX_[1514] = -0.881 * (0 - vX_[1495]) + -8.81e-05 * vX_[1084] + 0.414812462825713 * vX_[1082] + 0.00185880198235362 * vX_[1327] + (0.1104774 * vX_[1466]) / 0.026181 - vX_[1258] * vX_[1185] - vX_[1263] * vX_[1163] - vX_[1265] * vX_[1129] - 0.0004405 * vX_[1510];
+ vX_[1510] = 0.881 * vX_[1511] + -8.81e-05 * vX_[700] + 0.00185880198235362 * vX_[1082] + 0.880992588508842 * vX_[1327] + (-0.0004405 * vX_[1466]) / 0.026181 - vX_[1267] * vX_[1185] - vX_[1269] * vX_[1163] - vX_[1271] * vX_[1129] - 0.1104774 * vX_[1510];
+ vX_[1550] = 0 - vX_[846];
+ vX_[1684] = 0.47422804 * vX_[842] + 2.1e-05 * vX_[1190] + (0.026181 * vX_[1466]) / 0.026181 + vX_[1684] + vX_[1252] * vX_[1514] + vX_[256] * vX_[1510] - -0.0825825 * vX_[1550] - 0.000102 * vX_[1328];
+ vX_[1488] = 0 - vX_[1684];
+ vX_[847] = vX_[847] + vX_[847];
+ vX_[842] = -3.146 * (0 - vX_[842]) + vX_[251] * vX_[1514] + vX_[253] * vX_[1510] + vX_[282] * vX_[1624] + vX_[276] * vX_[1328] + vX_[308] * vX_[1671] + vX_[310] * vX_[846] + (vX_[272] * vX_[1488]) / vX_[274] - -0.0825825 * vX_[847];
+ vX_[1550] = 3.146 * vX_[1550] + vX_[1276] * vX_[1514] + vX_[251] * vX_[1510] + vX_[288] * vX_[1624] + vX_[287] * vX_[1328] + vX_[310] * vX_[1671] + vX_[309] * vX_[846] + (vX_[285] * vX_[1488]) / vX_[274] - 0.47422804 * vX_[847];
+ vX_[1510] = vX_[1251] * vX_[1185] - vX_[1257] * vX_[1163];
+ vX_[1514] = vX_[700] * vX_[1252] - vX_[1084] * vX_[256];
+ vX_[1511] = -8.81e-05 * vX_[1511] + -8.81e-05 * vX_[1327] - vX_[1258] * vX_[595] - vX_[1262] * vX_[863] - vX_[1264] * vX_[1510] - vX_[1285] * vX_[1185] - vX_[1292] * vX_[1163] - vX_[1297] * vX_[1129] - 0.1104774 * vX_[1514] - 0.025713 * vX_[700];
+ vX_[1510] = 0.0004405 * vX_[1514] + -8.81e-05 * (0 - vX_[1495]) + -0.000227999999999999 * vX_[1084] + 8.81e-05 * vX_[1082] - vX_[1267] * vX_[595] - vX_[1269] * vX_[863] - vX_[1271] * vX_[1510] - vX_[1305] * vX_[1185] - vX_[1312] * vX_[1163] - vX_[1317] * vX_[1129];
+ vX_[1514] = 0.881 * vX_[1514] + 0.1104774 * vX_[700] + 0.0004405 * vX_[1084] - vX_[328] * vX_[1185] - vX_[249] * vX_[1163];
+ vX_[304] = 0.007418 * vX_[1328] + 0.000102 * vX_[847] + vX_[251] * vX_[1511] + vX_[253] * vX_[1510] + -0.35 * vX_[1514] + vX_[304] * vX_[1624] + vX_[296] * vX_[1328] + vX_[282] * vX_[1671] + vX_[288] * vX_[846] + (vX_[281] * vX_[1488]) / vX_[274] - 0.084376 * vX_[1190];
+ vX_[1510] = 0.002735 * vX_[1328] + vX_[254] * vX_[1511] + vX_[251] * vX_[1510] + vX_[296] * vX_[1624] + vX_[303] * vX_[1328] + vX_[276] * vX_[1671] + vX_[287] * vX_[846] + (vX_[262] * vX_[1488]) / vX_[274] - 0.007418 * vX_[1190] - 2.1e-05 * vX_[847];
+ vX_[1514] = 0.47422804 * vX_[1190] + -0.0825825 * vX_[1328] + vX_[1514] + vX_[271] * vX_[1624] + vX_[284] * vX_[1328];
+ vX_[1190] = vX_[297] * vX_[304] + vX_[278] * vX_[1510] + 0.08 * vX_[1514];
+ vX_[271] = 0 - vX_[1190];
+ vX_[1684] = (vX_[274] * vX_[1488]) / vX_[274] + vX_[1684] + vX_[1274] * vX_[842] + vX_[299] * vX_[1550] + (vX_[360] * vX_[271]) / vX_[324];
+ vX_[1510] = vX_[278] * vX_[304] + vX_[250] * vX_[1510] + (vX_[319] * vX_[271]) / vX_[324];
+ vX_[304] = vX_[1229] * vX_[842] + vX_[698] * vX_[1550] + (vX_[345] * vX_[271]) / vX_[324];
+ vX_[1514] = vX_[1514] + (vX_[337] * vX_[271]) / vX_[324];
+ vX_[1550] = vX_[1319] * vX_[842] + vX_[250] * vX_[1550] + (vX_[322] * vX_[271]) / vX_[324];
+ vX_[1190] = ((vX_[324] * vX_[271]) / vX_[324] + vX_[1190] + vX_[368] * vX_[1514] + vX_[327] * vX_[1550]) / vX_[583];
+ vX_[842] = (vX_[249] * vX_[1684] + vX_[328] * vX_[1510] + vX_[329] * vX_[1514] + vX_[1571] * vX_[1550] - vX_[1566] * vX_[1190]) / vX_[580];
+ vX_[1510] = (vX_[328] * vX_[1684] + vX_[330] * vX_[1510] + 0.207 * vX_[304] + vX_[331] * vX_[1514] + vX_[1318] * vX_[1550] - vX_[1568] * vX_[842] - vX_[490] * vX_[1190]) / vX_[582];
+ vX_[304] = (vX_[304] - vX_[1610] * vX_[842] - vX_[1630] * vX_[1190] - vX_[1627] * vX_[1510]) / vX_[1657];
+ vX_[1684] = (vX_[249] * vX_[1514] + vX_[328] * vX_[1550] - vX_[1587] * vX_[842] - vX_[1611] * vX_[1190] - vX_[1575] * vX_[1510] - vX_[1629] * vX_[304]) / vX_[1654];
+ vX_[1550] = (vX_[328] * vX_[1514] + vX_[1669] * vX_[1550] - vX_[748] * vX_[842] - vX_[1626] * vX_[1190] - vX_[484] * vX_[1510] - vX_[1664] * vX_[304] - vX_[1584] * vX_[1684]) / vX_[1656];
+ jac[1031] = - vX_[1550];
+ vX_[1684] = vX_[1684] - vX_[1666] * vX_[1550];
+ jac[1030] = - vX_[1684];
+ vX_[304] = vX_[304] - vX_[1665] * vX_[1550] - vX_[1599] * vX_[1684];
+ jac[1029] = - vX_[304];
+ vX_[1510] = vX_[1510] - vX_[1614] * vX_[1684] - vX_[1628] * vX_[304] - vX_[1660] * vX_[1550];
+ jac[1028] = - vX_[1510];
+ vX_[842] = vX_[842] - vX_[1619] * vX_[304] - vX_[1565] * vX_[1510] - vX_[1613] * vX_[1684] - vX_[1659] * vX_[1550];
+ jac[1026] = vX_[584] * vX_[1510] + vX_[1567] * vX_[842] + vX_[1593] * vX_[304] + vX_[1612] * vX_[1684] + vX_[1658] * vX_[1550] - vX_[1190];
+ jac[1027] = - vX_[842];
+ vX_[842] = -1 * jac[1026];
+ vX_[1510] = vX_[450] * jac[1028] + vX_[370] * jac[1027];
+ vX_[304] = vX_[370] * jac[1028] + vX_[451] * jac[1027];
+ vX_[1684] = -1 * jac[1029];
+ vX_[1550] = 0.207 * jac[1028] + vX_[1684];
+ vX_[1190] = vX_[1481] * jac[1028] + vX_[1572] * jac[1027] + vX_[448] * jac[1026] + vX_[1670] * jac[1031] + vX_[1618] * jac[1030];
+ jac[1032] = (0 - vX_[445] * vX_[842] - vX_[482] * vX_[1510] - vX_[440] * vX_[304] - vX_[467] * vX_[1550] - vX_[459] * (vX_[453] * jac[1028] + vX_[452] * jac[1027] + vX_[1573] * jac[1026] + vX_[450] * jac[1031] + vX_[1617] * jac[1030]) - vX_[443] * vX_[1190]) / vX_[445];
+ vX_[1514] = -1 * vX_[1510];
+ vX_[284] = vX_[842] + jac[1032];
+ vX_[1511] = vX_[371] * vX_[1550] + vX_[1562] * vX_[1190] + vX_[1275] * vX_[1510];
+ vX_[1190] = vX_[398] * vX_[1550] + vX_[371] * vX_[1190] + vX_[419] * vX_[1510];
+ jac[1033] = (0 - vX_[395] * vX_[1514] - vX_[402] * (vX_[371] * vX_[284] + vX_[399] * vX_[304]) - vX_[383] * (vX_[398] * vX_[284] + vX_[371] * vX_[304]) - vX_[393] * vX_[1511] - vX_[406] * vX_[1190]) / vX_[395];
+ vX_[1514] = vX_[1514] + jac[1033];
+ jac[1034] = (0 - 0.1104774 * (vX_[372] * vX_[1511] + vX_[1520] * vX_[1190] + vX_[1517] * vX_[1514]) - -0.0004405 * (vX_[374] * vX_[1511] + vX_[372] * vX_[1190] + vX_[377] * vX_[1514]) - 0.026181 * vX_[1514]) / 0.026181;
+ vX_[1514] = vX_[328] * jac[1028] + vX_[249] * jac[1027];
+ vX_[1190] = vX_[330] * jac[1028] + vX_[328] * jac[1027];
+ vX_[1511] = 0.207 * jac[1028] + jac[1029];
+ vX_[284] = vX_[1318] * jac[1028] + vX_[1571] * jac[1027] + vX_[327] * jac[1026] + vX_[1669] * jac[1031] + vX_[328] * jac[1030];
+ jac[1035] = (vX_[271] - vX_[324] * jac[1026] - vX_[360] * vX_[1514] - vX_[319] * vX_[1190] - vX_[345] * vX_[1511] - vX_[337] * (vX_[331] * jac[1028] + vX_[329] * jac[1027] + vX_[368] * jac[1026] + vX_[328] * jac[1031] + vX_[249] * jac[1030]) - vX_[322] * vX_[284]) / vX_[324];
+ vX_[271] = jac[1026] + jac[1035];
+ vX_[1671] = vX_[1229] * vX_[1511] + vX_[1319] * vX_[284] + vX_[1274] * vX_[1514] + vX_[1671];
+ vX_[284] = vX_[698] * vX_[1511] + vX_[250] * vX_[284] + vX_[299] * vX_[1514] + vX_[846];
+ jac[1036] = (vX_[1488] - vX_[274] * vX_[1514] - vX_[281] * (vX_[297] * vX_[271] + vX_[278] * vX_[1190] + vX_[1624]) - vX_[262] * (vX_[278] * vX_[271] + vX_[250] * vX_[1190] + vX_[1328]) - vX_[272] * vX_[1671] - vX_[285] * vX_[284]) / vX_[274];
+ vX_[1514] = vX_[1514] + jac[1036];
+ jac[1037] = (vX_[1466] - 0.1104774 * (vX_[251] * vX_[1671] + vX_[1276] * vX_[284] + vX_[1252] * vX_[1514] + vX_[1082]) - -0.0004405 * (vX_[253] * vX_[1671] + vX_[251] * vX_[284] + vX_[256] * vX_[1514] + vX_[1327]) - 0.026181 * vX_[1514]) / 0.026181;
+ vX_[1514] = vX_[208] * jac[1028] + vX_[138] * jac[1027];
+ vX_[284] = vX_[138] * jac[1028] + vX_[209] * jac[1027];
+ vX_[1684] = 0.207 * jac[1028] + vX_[1684];
+ vX_[1671] = vX_[998] * jac[1028] + vX_[1570] * jac[1027] + vX_[206] * jac[1026] + vX_[1668] * jac[1031] + vX_[1616] * jac[1030];
+ jac[1038] = (0 - vX_[203] * vX_[842] - vX_[240] * vX_[1514] - vX_[198] * vX_[284] - vX_[225] * vX_[1684] - vX_[217] * (vX_[211] * jac[1028] + vX_[210] * jac[1027] + vX_[248] * jac[1026] + vX_[208] * jac[1031] + vX_[1615] * jac[1030]) - vX_[201] * vX_[1671]) / vX_[203];
+ vX_[1327] = -1 * vX_[1514];
+ vX_[842] = vX_[842] + jac[1038];
+ vX_[1082] = vX_[139] * vX_[1684] + vX_[1079] * vX_[1671] + vX_[790] * vX_[1514];
+ vX_[1671] = vX_[159] * vX_[1684] + vX_[139] * vX_[1671] + vX_[177] * vX_[1514];
+ jac[1039] = (0 - vX_[156] * vX_[1327] - 2.1e-05 * (vX_[139] * vX_[842] + vX_[160] * vX_[284]) - -0.000102 * (vX_[159] * vX_[842] + vX_[139] * vX_[284]) - vX_[154] * vX_[1082] - vX_[164] * vX_[1671]) / vX_[156];
+ vX_[1327] = vX_[1327] + jac[1039];
+ jac[1040] = (0 - 0.110125 * (vX_[142] * vX_[1082] + vX_[1037] * vX_[1671] + vX_[1034] * vX_[1327]) - 0.000881 * (vX_[140] * vX_[1082] + vX_[142] * vX_[1671] + vX_[141] * vX_[1327]) - 0.026181 * vX_[1327]) / 0.026181;
+ vX_[1327] = vX_[96] * jac[1028] + vX_[26] * jac[1027];
+ vX_[1671] = vX_[98] * jac[1028] + vX_[96] * jac[1027];
+ vX_[1082] = 0.207 * jac[1028] + jac[1029];
+ vX_[842] = vX_[834] * jac[1028] + vX_[1569] * jac[1027] + vX_[95] * jac[1026] + vX_[1667] * jac[1031] + vX_[96] * jac[1030];
+ jac[1041] = (0 - vX_[92] * jac[1026] - vX_[128] * vX_[1327] - vX_[87] * vX_[1671] - vX_[113] * vX_[1082] - vX_[105] * (vX_[99] * jac[1028] + vX_[97] * jac[1027] + vX_[136] * jac[1026] + vX_[96] * jac[1031] + vX_[26] * jac[1030]) - vX_[90] * vX_[842]) / vX_[92];
+ vX_[284] = jac[1026] + jac[1041];
+ vX_[1684] = vX_[746] * vX_[1082] + vX_[835] * vX_[842] + vX_[789] * vX_[1327];
+ vX_[842] = vX_[613] * vX_[1082] + vX_[13] * vX_[842] + vX_[67] * vX_[1327];
+ jac[1042] = (0 - vX_[42] * vX_[1327] - vX_[49] * (vX_[65] * vX_[284] + vX_[46] * vX_[1671]) - vX_[30] * (vX_[46] * vX_[284] + vX_[13] * vX_[1671]) - vX_[40] * vX_[1684] - vX_[53] * vX_[842]) / vX_[42];
+ vX_[1327] = vX_[1327] + jac[1042];
+ jac[1043] = (0 - 0.1104774 * (vX_[15] * vX_[1684] + vX_[791] * vX_[842] + vX_[766] * vX_[1327]) - 0.0004405 * (vX_[23] * vX_[1684] + vX_[15] * vX_[842] + vX_[25] * vX_[1327]) - 0.026181 * vX_[1327]) / 0.026181;
+ vX_[1179] = -1000. * (vX_[1118] * vX_[1124] + vX_[1153] * vX_[1158] + vX_[1179] * vX_[1182]) * vX_[1228];
+ vX_[1246] = -1000. * (vX_[1152] * vX_[1124] + vX_[1117] * vX_[1158] + vX_[1246] * vX_[1182]) * vX_[1228];
+ vX_[1150] = -1000. * (vX_[1178] * vX_[1124] + vX_[1245] * vX_[1158] + vX_[1150] * vX_[1182]) * vX_[1228];
+ vX_[1248] = vX_[1103] * vX_[1179] + vX_[1243] * vX_[1246] + vX_[1248] * vX_[1150];
+ vX_[1241] = vX_[1254] * vX_[1179] + vX_[1232] * vX_[1246] + vX_[1241] * vX_[1150];
+ vX_[1232] = vX_[1081] * vX_[1248] - vX_[1251] * vX_[1241];
+ vX_[1150] = vX_[740] * vX_[1179] + vX_[1102] * vX_[1246] + vX_[1253] * vX_[1150];
+ vX_[1081] = vX_[1257] * vX_[1241] - vX_[1081] * vX_[1150];
+ vX_[1246] = 0 - vX_[1516];
+ vX_[1235] = 0.1104774 * vX_[1434] - vX_[328] * vX_[1232] - vX_[249] * vX_[1081] - vX_[1105] * vX_[1150] - vX_[1230] * vX_[1248] - vX_[1235] * vX_[1241] - 0.0004405 * vX_[1246];
+ vX_[1230] = 0 - vX_[1235];
+ vX_[953] = vX_[953] + vX_[953];
+ vX_[1265] = -0.881 * (0 - vX_[1434]) + -8.81e-05 * vX_[1084] + 0.414812462825713 * vX_[1234] + 0.00185880198235362 * vX_[1516] + 8.81e-05 * vX_[1084] + (0.1104774 * vX_[1230]) / 0.026181 - vX_[1258] * vX_[1150] - vX_[1263] * vX_[1248] - vX_[1265] * vX_[1241] - 0.0004405 * vX_[953];
+ vX_[953] = 0.881 * vX_[1246] + -8.81e-05 * vX_[700] + 0.00185880198235362 * vX_[1234] + 0.880992588508842 * vX_[1516] + -8.81e-05 * vX_[594] + (-0.0004405 * vX_[1230]) / 0.026181 - vX_[1267] * vX_[1150] - vX_[1269] * vX_[1248] - vX_[1271] * vX_[1241] - 0.1104774 * vX_[953];
+ vX_[1235] = (0.026181 * vX_[1230]) / 0.026181 + vX_[1235] + vX_[1252] * vX_[1265] + vX_[256] * vX_[953];
+ vX_[1263] = 0 - vX_[1235];
+ vX_[1105] = vX_[251] * vX_[1265] + vX_[253] * vX_[953] + (vX_[272] * vX_[1263]) / vX_[274];
+ vX_[953] = vX_[1276] * vX_[1265] + vX_[251] * vX_[953] + (vX_[285] * vX_[1263]) / vX_[274];
+ vX_[1257] = vX_[1251] * vX_[1150] - vX_[1257] * vX_[1248];
+ vX_[1246] = -8.81e-05 * vX_[1246] + -8.81e-05 * vX_[1516] + 0.026409 * vX_[594] - vX_[1258] * vX_[1232] - vX_[1262] * vX_[1081] - vX_[1264] * vX_[1257] - vX_[1285] * vX_[1150] - vX_[1292] * vX_[1248] - vX_[1297] * vX_[1241] - 0.025713 * vX_[700];
+ vX_[1257] = -8.81e-05 * (0 - vX_[1434]) + -0.000227999999999999 * vX_[1084] + 8.81e-05 * vX_[1234] + 0.000468 * vX_[1084] - vX_[1267] * vX_[1232] - vX_[1269] * vX_[1081] - vX_[1271] * vX_[1257] - vX_[1305] * vX_[1150] - vX_[1312] * vX_[1248] - vX_[1317] * vX_[1241];
+ vX_[1150] = 0.1104774 * vX_[700] + 0.0004405 * vX_[1084] + -0.1104774 * vX_[594] + 0.0004405 * vX_[1084] - vX_[328] * vX_[1150] - vX_[249] * vX_[1248];
+ vX_[1248] = vX_[251] * vX_[1246] + vX_[253] * vX_[1257] + -0.35 * vX_[1150] + (vX_[281] * vX_[1263]) / vX_[274];
+ vX_[1257] = vX_[254] * vX_[1246] + vX_[251] * vX_[1257] + (vX_[262] * vX_[1263]) / vX_[274];
+ vX_[1246] = vX_[297] * vX_[1248] + vX_[278] * vX_[1257] + 0.08 * vX_[1150];
+ vX_[254] = 0 - vX_[1246];
+ vX_[1235] = (vX_[274] * vX_[1263]) / vX_[274] + vX_[1235] + vX_[1274] * vX_[1105] + vX_[299] * vX_[953] + (vX_[360] * vX_[254]) / vX_[324];
+ vX_[1257] = vX_[278] * vX_[1248] + vX_[250] * vX_[1257] + (vX_[319] * vX_[254]) / vX_[324];
+ vX_[1248] = vX_[1229] * vX_[1105] + vX_[698] * vX_[953] + (vX_[345] * vX_[254]) / vX_[324];
+ vX_[1150] = vX_[1150] + (vX_[337] * vX_[254]) / vX_[324];
+ vX_[953] = vX_[1319] * vX_[1105] + vX_[250] * vX_[953] + (vX_[322] * vX_[254]) / vX_[324];
+ vX_[1246] = ((vX_[324] * vX_[254]) / vX_[324] + vX_[1246] + vX_[368] * vX_[1150] + vX_[327] * vX_[953]) / vX_[583];
+ vX_[1105] = (vX_[249] * vX_[1235] + vX_[328] * vX_[1257] + vX_[329] * vX_[1150] + vX_[1571] * vX_[953] - vX_[1566] * vX_[1246]) / vX_[580];
+ vX_[1257] = (vX_[328] * vX_[1235] + vX_[330] * vX_[1257] + 0.207 * vX_[1248] + vX_[331] * vX_[1150] + vX_[1318] * vX_[953] - vX_[1568] * vX_[1105] - vX_[490] * vX_[1246]) / vX_[582];
+ vX_[1248] = (vX_[1248] - vX_[1610] * vX_[1105] - vX_[1630] * vX_[1246] - vX_[1627] * vX_[1257]) / vX_[1657];
+ vX_[1235] = (vX_[249] * vX_[1150] + vX_[328] * vX_[953] - vX_[1587] * vX_[1105] - vX_[1611] * vX_[1246] - vX_[1575] * vX_[1257] - vX_[1629] * vX_[1248]) / vX_[1654];
+ vX_[953] = (vX_[328] * vX_[1150] + vX_[1669] * vX_[953] - vX_[748] * vX_[1105] - vX_[1626] * vX_[1246] - vX_[484] * vX_[1257] - vX_[1664] * vX_[1248] - vX_[1584] * vX_[1235]) / vX_[1656];
+ jac[1067] = - vX_[953];
+ vX_[1235] = vX_[1235] - vX_[1666] * vX_[953];
+ jac[1066] = - vX_[1235];
+ vX_[1248] = vX_[1248] - vX_[1665] * vX_[953] - vX_[1599] * vX_[1235];
+ jac[1065] = - vX_[1248];
+ vX_[1257] = vX_[1257] - vX_[1614] * vX_[1235] - vX_[1628] * vX_[1248] - vX_[1660] * vX_[953];
+ jac[1064] = - vX_[1257];
+ vX_[1105] = vX_[1105] - vX_[1619] * vX_[1248] - vX_[1565] * vX_[1257] - vX_[1613] * vX_[1235] - vX_[1659] * vX_[953];
+ jac[1062] = vX_[584] * vX_[1257] + vX_[1567] * vX_[1105] + vX_[1593] * vX_[1248] + vX_[1612] * vX_[1235] + vX_[1658] * vX_[953] - vX_[1246];
+ jac[1063] = - vX_[1105];
+ vX_[1105] = -1 * jac[1062];
+ vX_[1257] = vX_[450] * jac[1064] + vX_[370] * jac[1063];
+ vX_[1248] = vX_[370] * jac[1064] + vX_[451] * jac[1063];
+ vX_[1235] = -1 * jac[1065];
+ vX_[953] = 0.207 * jac[1064] + vX_[1235];
+ vX_[1246] = vX_[1481] * jac[1064] + vX_[1572] * jac[1063] + vX_[448] * jac[1062] + vX_[1670] * jac[1067] + vX_[1618] * jac[1066];
+ jac[1068] = (0 - vX_[445] * vX_[1105] - vX_[482] * vX_[1257] - vX_[440] * vX_[1248] - vX_[467] * vX_[953] - vX_[459] * (vX_[453] * jac[1064] + vX_[452] * jac[1063] + vX_[1573] * jac[1062] + vX_[450] * jac[1067] + vX_[1617] * jac[1066]) - vX_[443] * vX_[1246]) / vX_[445];
+ vX_[1150] = -1 * vX_[1257];
+ vX_[594] = vX_[1105] + jac[1068];
+ vX_[700] = vX_[371] * vX_[953] + vX_[1562] * vX_[1246] + vX_[1275] * vX_[1257];
+ vX_[1246] = vX_[398] * vX_[953] + vX_[371] * vX_[1246] + vX_[419] * vX_[1257];
+ jac[1069] = (0 - vX_[395] * vX_[1150] - vX_[402] * (vX_[371] * vX_[594] + vX_[399] * vX_[1248]) - vX_[383] * (vX_[398] * vX_[594] + vX_[371] * vX_[1248]) - vX_[393] * vX_[700] - vX_[406] * vX_[1246]) / vX_[395];
+ vX_[1150] = vX_[1150] + jac[1069];
+ jac[1070] = (0 - 0.1104774 * (vX_[372] * vX_[700] + vX_[1520] * vX_[1246] + vX_[1517] * vX_[1150]) - -0.0004405 * (vX_[374] * vX_[700] + vX_[372] * vX_[1246] + vX_[377] * vX_[1150]) - 0.026181 * vX_[1150]) / 0.026181;
+ vX_[1150] = vX_[328] * jac[1064] + vX_[249] * jac[1063];
+ vX_[1246] = vX_[330] * jac[1064] + vX_[328] * jac[1063];
+ vX_[700] = 0.207 * jac[1064] + jac[1065];
+ vX_[594] = vX_[1318] * jac[1064] + vX_[1571] * jac[1063] + vX_[327] * jac[1062] + vX_[1669] * jac[1067] + vX_[328] * jac[1066];
+ jac[1071] = (vX_[254] - vX_[324] * jac[1062] - vX_[360] * vX_[1150] - vX_[319] * vX_[1246] - vX_[345] * vX_[700] - vX_[337] * (vX_[331] * jac[1064] + vX_[329] * jac[1063] + vX_[368] * jac[1062] + vX_[328] * jac[1067] + vX_[249] * jac[1066]) - vX_[322] * vX_[594]) / vX_[324];
+ vX_[254] = jac[1062] + jac[1071];
+ vX_[1248] = vX_[1229] * vX_[700] + vX_[1319] * vX_[594] + vX_[1274] * vX_[1150];
+ vX_[594] = vX_[698] * vX_[700] + vX_[250] * vX_[594] + vX_[299] * vX_[1150];
+ jac[1072] = (vX_[1263] - vX_[274] * vX_[1150] - vX_[281] * (vX_[297] * vX_[254] + vX_[278] * vX_[1246]) - vX_[262] * (vX_[278] * vX_[254] + vX_[250] * vX_[1246]) - vX_[272] * vX_[1248] - vX_[285] * vX_[594]) / vX_[274];
+ vX_[1150] = vX_[1150] + jac[1072];
+ jac[1073] = (vX_[1230] - 0.1104774 * (vX_[251] * vX_[1248] + vX_[1276] * vX_[594] + vX_[1252] * vX_[1150] + vX_[1234]) - -0.0004405 * (vX_[253] * vX_[1248] + vX_[251] * vX_[594] + vX_[256] * vX_[1150] + vX_[1516]) - 0.026181 * vX_[1150]) / 0.026181;
+ vX_[1150] = vX_[208] * jac[1064] + vX_[138] * jac[1063];
+ vX_[594] = vX_[138] * jac[1064] + vX_[209] * jac[1063];
+ vX_[1235] = 0.207 * jac[1064] + vX_[1235];
+ vX_[1248] = vX_[998] * jac[1064] + vX_[1570] * jac[1063] + vX_[206] * jac[1062] + vX_[1668] * jac[1067] + vX_[1616] * jac[1066];
+ jac[1074] = (0 - vX_[203] * vX_[1105] - vX_[240] * vX_[1150] - vX_[198] * vX_[594] - vX_[225] * vX_[1235] - vX_[217] * (vX_[211] * jac[1064] + vX_[210] * jac[1063] + vX_[248] * jac[1062] + vX_[208] * jac[1067] + vX_[1615] * jac[1066]) - vX_[201] * vX_[1248]) / vX_[203];
+ vX_[1230] = -1 * vX_[1150];
+ vX_[1105] = vX_[1105] + jac[1074];
+ vX_[1234] = vX_[139] * vX_[1235] + vX_[1079] * vX_[1248] + vX_[790] * vX_[1150];
+ vX_[1248] = vX_[159] * vX_[1235] + vX_[139] * vX_[1248] + vX_[177] * vX_[1150];
+ jac[1075] = (0 - vX_[156] * vX_[1230] - 2.1e-05 * (vX_[139] * vX_[1105] + vX_[160] * vX_[594]) - -0.000102 * (vX_[159] * vX_[1105] + vX_[139] * vX_[594]) - vX_[154] * vX_[1234] - vX_[164] * vX_[1248]) / vX_[156];
+ vX_[1230] = vX_[1230] + jac[1075];
+ jac[1076] = (0 - 0.110125 * (vX_[142] * vX_[1234] + vX_[1037] * vX_[1248] + vX_[1034] * vX_[1230]) - 0.000881 * (vX_[140] * vX_[1234] + vX_[142] * vX_[1248] + vX_[141] * vX_[1230]) - 0.026181 * vX_[1230]) / 0.026181;
+ vX_[1230] = vX_[96] * jac[1064] + vX_[26] * jac[1063];
+ vX_[1248] = vX_[98] * jac[1064] + vX_[96] * jac[1063];
+ vX_[1234] = 0.207 * jac[1064] + jac[1065];
+ vX_[1105] = vX_[834] * jac[1064] + vX_[1569] * jac[1063] + vX_[95] * jac[1062] + vX_[1667] * jac[1067] + vX_[96] * jac[1066];
+ jac[1077] = (0 - vX_[92] * jac[1062] - vX_[128] * vX_[1230] - vX_[87] * vX_[1248] - vX_[113] * vX_[1234] - vX_[105] * (vX_[99] * jac[1064] + vX_[97] * jac[1063] + vX_[136] * jac[1062] + vX_[96] * jac[1067] + vX_[26] * jac[1066]) - vX_[90] * vX_[1105]) / vX_[92];
+ vX_[594] = jac[1062] + jac[1077];
+ vX_[1235] = vX_[746] * vX_[1234] + vX_[835] * vX_[1105] + vX_[789] * vX_[1230];
+ vX_[1105] = vX_[613] * vX_[1234] + vX_[13] * vX_[1105] + vX_[67] * vX_[1230];
+ jac[1078] = (0 - vX_[42] * vX_[1230] - vX_[49] * (vX_[65] * vX_[594] + vX_[46] * vX_[1248]) - vX_[30] * (vX_[46] * vX_[594] + vX_[13] * vX_[1248]) - vX_[40] * vX_[1235] - vX_[53] * vX_[1105]) / vX_[42];
+ vX_[1230] = vX_[1230] + jac[1078];
+ jac[1079] = (0 - 0.1104774 * (vX_[15] * vX_[1235] + vX_[791] * vX_[1105] + vX_[766] * vX_[1230]) - 0.0004405 * (vX_[23] * vX_[1235] + vX_[15] * vX_[1105] + vX_[25] * vX_[1230]) - 0.026181 * vX_[1230]) / 0.026181;
+ vX_[1230] = 0 - vX_[1336];
+ vX_[622] = vX_[622] + vX_[622];
+ vX_[1105] = vX_[712] * -0.08 + vX_[159] * vX_[6];
+ vX_[1235] = vX_[712] * vX_[139] + vX_[159] * vX_[959];
+ vX_[594] = -0.35 * vX_[139] - 0.08;
+ vX_[1248] = vX_[142] * vX_[159] + vX_[140] * vX_[139];
+ vX_[1234] = vX_[1188] * vX_[594] + vX_[1248] * vX_[612];
+ vX_[1150] = vX_[152] * vX_[159] + vX_[142] * vX_[139];
+ vX_[1516] = vX_[1188] * vX_[1150] + vX_[1248] * vX_[868];
+ vX_[254] = -1000. * (vX_[879] * vX_[898] + vX_[916] * vX_[932]) * vX_[991];
+ vX_[1246] = -1000. * (vX_[915] * vX_[898] + vX_[878] * vX_[932]) * vX_[991];
+ vX_[932] = -1000. * (vX_[941] * vX_[898] + vX_[1009] * vX_[932]) * vX_[991];
+ vX_[898] = vX_[861] * vX_[254] + vX_[1007] * vX_[1246] + vX_[1012] * vX_[932];
+ vX_[1263] = vX_[1018] * vX_[254] + vX_[992] * vX_[1246] + vX_[1005] * vX_[932];
+ vX_[700] = vX_[839] * vX_[898] - vX_[1015] * vX_[1263];
+ vX_[932] = vX_[870] * vX_[254] + vX_[860] * vX_[1246] + vX_[1017] * vX_[932];
+ vX_[1246] = vX_[1021] * vX_[1263] - vX_[839] * vX_[932];
+ vX_[594] = vX_[868] * vX_[594] + vX_[1150] * vX_[612];
+ vX_[612] = 0.110125 * (0 - vX_[1234]) + 0.025941 * vX_[1516] - vX_[836] * vX_[700] - vX_[137] * vX_[1246] - vX_[862] * vX_[932] - vX_[994] * vX_[898] - vX_[999] * vX_[1263] - -0.000881 * vX_[594];
+ vX_[254] = 0 - vX_[612];
+ vX_[1234] = -0.881 * vX_[1234] + 0.110125 * vX_[1516] + (0.110125 * vX_[254]) / 0.026181 - vX_[1006] * vX_[932] - vX_[1025] * vX_[898] - vX_[1026] * vX_[1263] - -0.000881 * (vX_[1188] * vX_[1248] + vX_[1248] * vX_[1188]);
+ vX_[594] = 0.881 * vX_[594] + -0.000881 * vX_[1516] + (0.000881 * vX_[254]) / 0.026181 - vX_[1028] * vX_[932] - vX_[1030] * vX_[898] - vX_[1032] * vX_[1263] - 0.110125 * (vX_[868] * vX_[1150] + vX_[1150] * vX_[868]);
+ vX_[1516] = (- vX_[159]) * x_in[31];
+ vX_[953] = vX_[139] * x_in[31];
+ vX_[1257] = vX_[159] * vX_[711];
+ vX_[6] = vX_[959] * -0.08 + vX_[139] * vX_[6];
+ vX_[1084] = vX_[139] * vX_[711];
+ vX_[1081] = vX_[959] * vX_[139] + vX_[139] * vX_[959];
+ vX_[1232] = vX_[712] * vX_[159] + vX_[159] * vX_[712];
+ vX_[612] = 0.47422804 * (0 - vX_[1105]) + 0.081641 * vX_[1235] + 2.1e-05 * vX_[1257] + (0.026181 * vX_[254]) / 0.026181 + vX_[612] + vX_[1034] * vX_[1234] + vX_[141] * vX_[594] - 0.0825825 * vX_[6] - -0.000102 * vX_[1084] - -0.007418 * (vX_[1081] - vX_[1232]);
+ vX_[1241] = 0 - vX_[612];
+ vX_[1105] = -3.146 * vX_[1105] + 0.47422804 * vX_[1235] + vX_[142] * vX_[1234] + vX_[140] * vX_[594] + vX_[161] * vX_[1516] + vX_[158] * vX_[953] + (vX_[154] * vX_[1241]) / vX_[156] - 0.0825825 * vX_[1232];
+ vX_[6] = 3.146 * vX_[6] + 0.0825825 * vX_[1235] + vX_[1037] * vX_[1234] + vX_[142] * vX_[594] + vX_[167] * vX_[1516] + vX_[166] * vX_[953] + (vX_[164] * vX_[1241]) / vX_[156] - 0.47422804 * vX_[1081];
+ vX_[594] = (- vX_[1248]) * x_in[32];
+ vX_[1234] = vX_[1015] * vX_[932] - vX_[1021] * vX_[898];
+ vX_[1434] = vX_[1248] * vX_[3] - vX_[1150] * vX_[1104];
+ vX_[1248] = vX_[1248] * vX_[788];
+ vX_[1317] = 0.026409 * vX_[594] - vX_[1006] * vX_[700] - vX_[1024] * vX_[1246] - vX_[1026] * vX_[1234] - vX_[1045] * vX_[932] - vX_[1052] * vX_[898] - vX_[1057] * vX_[1263] - 0.110125 * vX_[1434] - 0.025713 * vX_[1248];
+ vX_[1312] = vX_[1150] * vX_[788];
+ vX_[1150] = vX_[1150] * x_in[32];
+ vX_[1234] = -0.000227999999999999 * vX_[1312] + -0.000881 * vX_[1434] + 0.000468 * vX_[1150] - vX_[1028] * vX_[700] - vX_[1029] * vX_[1246] - vX_[1060] * vX_[1234] - vX_[1067] * vX_[932] - vX_[1074] * vX_[898] - vX_[1078] * vX_[1263];
+ vX_[1150] = 0.110125 * vX_[1248] + 0.881 * vX_[1434] + -0.000881 * vX_[1312] + -0.110125 * vX_[594] + -0.000881 * vX_[1150] - vX_[840] * vX_[932] - vX_[137] * vX_[898];
+ vX_[1312] = vX_[159] * vX_[709] - vX_[139] * vX_[722];
+ vX_[1232] = -0.007418 * vX_[1084] + -0.000102 * (0 - vX_[1232]) + vX_[142] * vX_[1317] + vX_[140] * vX_[1234] + -0.35 * vX_[1150] + vX_[183] * vX_[1516] + vX_[175] * vX_[953] + (2.1e-05 * vX_[1241]) / vX_[156] - 0.47422804 * vX_[1312] - 0.084376 * vX_[1257] - 2.1e-05 * vX_[1235];
+ vX_[1234] = 0.002735 * vX_[1084] + 0.0825825 * vX_[1312] + -0.000102 * vX_[1235] + vX_[152] * vX_[1317] + vX_[142] * vX_[1234] + vX_[175] * vX_[1516] + vX_[182] * vX_[953] + (-0.000102 * vX_[1241]) / vX_[156] - -0.007418 * vX_[1257] - 2.1e-05 * (0 - vX_[1081]);
+ vX_[1312] = 0.47422804 * vX_[1257] + 3.146 * vX_[1312] + 0.0825825 * vX_[1084] + vX_[1150] + vX_[153] * vX_[1516] + vX_[163] * vX_[953];
+ vX_[1150] = 0.1466472 * vX_[657] + -5.1e-05 * vX_[973] + vX_[139] * vX_[1232] + vX_[159] * vX_[1234] + -0.08 * vX_[1312] - 0.022734 * vX_[660];
+ vX_[1084] = 0 - vX_[1150];
+ vX_[612] = -0.5824264 * vX_[1230] + 3.6e-05 * vX_[660] + 0.022734 * vX_[622] + vX_[790] * vX_[1105] + vX_[177] * vX_[6] + -1 * (vX_[612] + (vX_[156] * vX_[1241]) / vX_[156]) + vX_[507] * vX_[1108] + vX_[557] * vX_[660] + vX_[241] * vX_[865] + vX_[230] * vX_[1336] + (vX_[240] * vX_[1084]) / vX_[203] - -0.123672 * vX_[973];
+ vX_[1234] = -0.133138 * vX_[660] + -0.5824264 * (0 - vX_[657]) + vX_[160] * vX_[1232] + vX_[139] * vX_[1234] + vX_[557] * vX_[1108] + vX_[202] * vX_[660] + vX_[231] * vX_[865] + vX_[205] * vX_[1336] + (vX_[198] * vX_[1084]) / vX_[203] - 3.6e-05 * vX_[973] - -5.1e-05 * vX_[622];
+ vX_[192] = 0.1466472 * vX_[973] + vX_[139] * vX_[1105] + vX_[159] * vX_[6] + vX_[216] * vX_[1108] + vX_[192] * vX_[660] + vX_[234] * vX_[865] + vX_[227] * vX_[1336] + (vX_[225] * vX_[1084]) / vX_[203];
+ vX_[1312] = -3.44 * (0 - vX_[657]) + -0.5824264 * vX_[660] + -1 * vX_[1312] + vX_[241] * vX_[1108] + vX_[231] * vX_[660] + vX_[233] * vX_[865] + vX_[219] * vX_[1336] + (vX_[217] * vX_[1084]) / vX_[203];
+ vX_[6] = 3.44 * vX_[1230] + -0.5824264 * vX_[973] + vX_[1079] * vX_[1105] + vX_[139] * vX_[6] + vX_[230] * vX_[1108] + vX_[205] * vX_[660] + vX_[219] * vX_[865] + vX_[245] * vX_[1336] + (vX_[201] * vX_[1084]) / vX_[203] - 0.1466472 * vX_[622];
+ vX_[1150] = (vX_[248] * vX_[1312] + vX_[206] * vX_[6] + -1 * (vX_[1150] + (vX_[203] * vX_[1084]) / vX_[203])) / vX_[583];
+ vX_[1105] = (vX_[138] * vX_[612] + vX_[209] * vX_[1234] + vX_[210] * vX_[1312] + vX_[1570] * vX_[6] - vX_[1566] * vX_[1150]) / vX_[580];
+ vX_[1234] = (vX_[208] * vX_[612] + vX_[138] * vX_[1234] + 0.207 * vX_[192] + vX_[211] * vX_[1312] + vX_[998] * vX_[6] - vX_[1568] * vX_[1105] - vX_[490] * vX_[1150]) / vX_[582];
+ vX_[192] = (-1 * vX_[192] - vX_[1610] * vX_[1105] - vX_[1630] * vX_[1150] - vX_[1627] * vX_[1234]) / vX_[1657];
+ vX_[612] = (vX_[1615] * vX_[1312] + vX_[1616] * vX_[6] - vX_[1587] * vX_[1105] - vX_[1611] * vX_[1150] - vX_[1575] * vX_[1234] - vX_[1629] * vX_[192]) / vX_[1654];
+ vX_[6] = (vX_[208] * vX_[1312] + vX_[1668] * vX_[6] - vX_[748] * vX_[1105] - vX_[1626] * vX_[1150] - vX_[484] * vX_[1234] - vX_[1664] * vX_[192] - vX_[1584] * vX_[612]) / vX_[1656];
+ jac[1103] = - vX_[6];
+ vX_[612] = vX_[612] - vX_[1666] * vX_[6];
+ jac[1102] = - vX_[612];
+ vX_[192] = vX_[192] - vX_[1665] * vX_[6] - vX_[1599] * vX_[612];
+ jac[1101] = - vX_[192];
+ vX_[1234] = vX_[1234] - vX_[1614] * vX_[612] - vX_[1628] * vX_[192] - vX_[1660] * vX_[6];
+ jac[1100] = - vX_[1234];
+ vX_[1105] = vX_[1105] - vX_[1619] * vX_[192] - vX_[1565] * vX_[1234] - vX_[1613] * vX_[612] - vX_[1659] * vX_[6];
+ jac[1098] = vX_[584] * vX_[1234] + vX_[1567] * vX_[1105] + vX_[1593] * vX_[192] + vX_[1612] * vX_[612] + vX_[1658] * vX_[6] - vX_[1150];
+ jac[1099] = - vX_[1105];
+ vX_[1105] = -1 * jac[1098];
+ vX_[1234] = vX_[450] * jac[1100] + vX_[370] * jac[1099];
+ vX_[192] = vX_[370] * jac[1100] + vX_[451] * jac[1099];
+ vX_[612] = -1 * jac[1101];
+ vX_[6] = 0.207 * jac[1100] + vX_[612];
+ vX_[1150] = vX_[1481] * jac[1100] + vX_[1572] * jac[1099] + vX_[448] * jac[1098] + vX_[1670] * jac[1103] + vX_[1618] * jac[1102];
+ jac[1104] = (0 - vX_[445] * vX_[1105] - vX_[482] * vX_[1234] - vX_[440] * vX_[192] - vX_[467] * vX_[6] - vX_[459] * (vX_[453] * jac[1100] + vX_[452] * jac[1099] + vX_[1573] * jac[1098] + vX_[450] * jac[1103] + vX_[1617] * jac[1102]) - vX_[443] * vX_[1150]) / vX_[445];
+ vX_[1312] = -1 * vX_[1234];
+ vX_[622] = vX_[1105] + jac[1104];
+ vX_[1230] = vX_[371] * vX_[6] + vX_[1562] * vX_[1150] + vX_[1275] * vX_[1234];
+ vX_[1150] = vX_[398] * vX_[6] + vX_[371] * vX_[1150] + vX_[419] * vX_[1234];
+ jac[1105] = (0 - vX_[395] * vX_[1312] - vX_[402] * (vX_[371] * vX_[622] + vX_[399] * vX_[192]) - vX_[383] * (vX_[398] * vX_[622] + vX_[371] * vX_[192]) - vX_[393] * vX_[1230] - vX_[406] * vX_[1150]) / vX_[395];
+ vX_[1312] = vX_[1312] + jac[1105];
+ jac[1106] = (0 - 0.1104774 * (vX_[372] * vX_[1230] + vX_[1520] * vX_[1150] + vX_[1517] * vX_[1312]) - -0.0004405 * (vX_[374] * vX_[1230] + vX_[372] * vX_[1150] + vX_[377] * vX_[1312]) - 0.026181 * vX_[1312]) / 0.026181;
+ vX_[1312] = vX_[328] * jac[1100] + vX_[249] * jac[1099];
+ vX_[1150] = vX_[330] * jac[1100] + vX_[328] * jac[1099];
+ vX_[1230] = 0.207 * jac[1100] + jac[1101];
+ vX_[622] = vX_[1318] * jac[1100] + vX_[1571] * jac[1099] + vX_[327] * jac[1098] + vX_[1669] * jac[1103] + vX_[328] * jac[1102];
+ jac[1107] = (0 - vX_[324] * jac[1098] - vX_[360] * vX_[1312] - vX_[319] * vX_[1150] - vX_[345] * vX_[1230] - vX_[337] * (vX_[331] * jac[1100] + vX_[329] * jac[1099] + vX_[368] * jac[1098] + vX_[328] * jac[1103] + vX_[249] * jac[1102]) - vX_[322] * vX_[622]) / vX_[324];
+ vX_[192] = jac[1098] + jac[1107];
+ vX_[6] = vX_[1229] * vX_[1230] + vX_[1319] * vX_[622] + vX_[1274] * vX_[1312];
+ vX_[622] = vX_[698] * vX_[1230] + vX_[250] * vX_[622] + vX_[299] * vX_[1312];
+ jac[1108] = (0 - vX_[274] * vX_[1312] - vX_[281] * (vX_[297] * vX_[192] + vX_[278] * vX_[1150]) - vX_[262] * (vX_[278] * vX_[192] + vX_[250] * vX_[1150]) - vX_[272] * vX_[6] - vX_[285] * vX_[622]) / vX_[274];
+ vX_[1312] = vX_[1312] + jac[1108];
+ jac[1109] = (0 - 0.1104774 * (vX_[251] * vX_[6] + vX_[1276] * vX_[622] + vX_[1252] * vX_[1312]) - -0.0004405 * (vX_[253] * vX_[6] + vX_[251] * vX_[622] + vX_[256] * vX_[1312]) - 0.026181 * vX_[1312]) / 0.026181;
+ vX_[1108] = vX_[208] * jac[1100] + vX_[138] * jac[1099] + vX_[1108];
+ vX_[660] = vX_[138] * jac[1100] + vX_[209] * jac[1099] + vX_[660];
+ vX_[612] = 0.207 * jac[1100] + vX_[612];
+ vX_[1336] = vX_[998] * jac[1100] + vX_[1570] * jac[1099] + vX_[206] * jac[1098] + vX_[1668] * jac[1103] + vX_[1616] * jac[1102] + vX_[1336];
+ jac[1110] = (vX_[1084] - vX_[203] * vX_[1105] - vX_[240] * vX_[1108] - vX_[198] * vX_[660] - vX_[225] * vX_[612] - vX_[217] * (vX_[211] * jac[1100] + vX_[210] * jac[1099] + vX_[248] * jac[1098] + vX_[208] * jac[1103] + vX_[1615] * jac[1102] + vX_[865]) - vX_[201] * vX_[1336]) / vX_[203];
+ vX_[1084] = -1 * vX_[1108];
+ vX_[1105] = vX_[1105] + jac[1110];
+ vX_[865] = vX_[139] * vX_[612] + vX_[1079] * vX_[1336] + vX_[790] * vX_[1108];
+ vX_[1336] = vX_[159] * vX_[612] + vX_[139] * vX_[1336] + vX_[177] * vX_[1108];
+ jac[1111] = (vX_[1241] - vX_[156] * vX_[1084] - 2.1e-05 * (vX_[139] * vX_[1105] + vX_[160] * vX_[660] + vX_[1516]) - -0.000102 * (vX_[159] * vX_[1105] + vX_[139] * vX_[660] + vX_[953]) - vX_[154] * vX_[865] - vX_[164] * vX_[1336]) / vX_[156];
+ vX_[1084] = vX_[1084] + jac[1111];
+ jac[1112] = (vX_[254] - 0.110125 * (vX_[142] * vX_[865] + vX_[1037] * vX_[1336] + vX_[1034] * vX_[1084]) - 0.000881 * (vX_[140] * vX_[865] + vX_[142] * vX_[1336] + vX_[141] * vX_[1084]) - 0.026181 * vX_[1084]) / 0.026181;
+ vX_[1084] = vX_[96] * jac[1100] + vX_[26] * jac[1099];
+ vX_[1336] = vX_[98] * jac[1100] + vX_[96] * jac[1099];
+ vX_[865] = 0.207 * jac[1100] + jac[1101];
+ vX_[254] = vX_[834] * jac[1100] + vX_[1569] * jac[1099] + vX_[95] * jac[1098] + vX_[1667] * jac[1103] + vX_[96] * jac[1102];
+ jac[1113] = (0 - vX_[92] * jac[1098] - vX_[128] * vX_[1084] - vX_[87] * vX_[1336] - vX_[113] * vX_[865] - vX_[105] * (vX_[99] * jac[1100] + vX_[97] * jac[1099] + vX_[136] * jac[1098] + vX_[96] * jac[1103] + vX_[26] * jac[1102]) - vX_[90] * vX_[254]) / vX_[92];
+ vX_[1105] = jac[1098] + jac[1113];
+ vX_[660] = vX_[746] * vX_[865] + vX_[835] * vX_[254] + vX_[789] * vX_[1084];
+ vX_[254] = vX_[613] * vX_[865] + vX_[13] * vX_[254] + vX_[67] * vX_[1084];
+ jac[1114] = (0 - vX_[42] * vX_[1084] - vX_[49] * (vX_[65] * vX_[1105] + vX_[46] * vX_[1336]) - vX_[30] * (vX_[46] * vX_[1105] + vX_[13] * vX_[1336]) - vX_[40] * vX_[660] - vX_[53] * vX_[254]) / vX_[42];
+ vX_[1084] = vX_[1084] + jac[1114];
+ jac[1115] = (0 - 0.1104774 * (vX_[15] * vX_[660] + vX_[791] * vX_[254] + vX_[766] * vX_[1084]) - 0.0004405 * (vX_[23] * vX_[660] + vX_[15] * vX_[254] + vX_[25] * vX_[1084]) - 0.026181 * vX_[1084]) / 0.026181;
+ vX_[1084] = vX_[788] * vX_[141] + vX_[1104];
+ vX_[254] = (- vX_[141]) * x_in[32];
+ vX_[660] = vX_[1034] * x_in[32];
+ vX_[1105] = -1000. * (vX_[879] * vX_[891] + vX_[916] * vX_[926] + vX_[942] * vX_[948]) * vX_[991];
+ vX_[1336] = -1000. * (vX_[915] * vX_[891] + vX_[878] * vX_[926] + vX_[1010] * vX_[948]) * vX_[991];
+ vX_[948] = -1000. * (vX_[941] * vX_[891] + vX_[1009] * vX_[926] + vX_[913] * vX_[948]) * vX_[991];
+ vX_[926] = vX_[861] * vX_[1105] + vX_[1007] * vX_[1336] + vX_[1012] * vX_[948];
+ vX_[891] = vX_[1018] * vX_[1105] + vX_[992] * vX_[1336] + vX_[1005] * vX_[948];
+ vX_[865] = vX_[839] * vX_[926] - vX_[1015] * vX_[891];
+ vX_[948] = vX_[870] * vX_[1105] + vX_[860] * vX_[1336] + vX_[1017] * vX_[948];
+ vX_[1336] = vX_[1021] * vX_[891] - vX_[839] * vX_[948];
+ vX_[1105] = 0 - (vX_[788] * vX_[1034] + vX_[3]);
+ vX_[1241] = 0.110125 * vX_[1084] - vX_[836] * vX_[865] - vX_[137] * vX_[1336] - vX_[862] * vX_[948] - vX_[994] * vX_[926] - vX_[999] * vX_[891] - -0.000881 * vX_[1105];
+ vX_[953] = 0 - vX_[1241];
+ vX_[1516] = vX_[788] + vX_[788];
+ vX_[1084] = -0.881 * (0 - vX_[1084]) + 0.417781802643138 * vX_[254] + -0.00370574557885489 * vX_[660] + (0.110125 * vX_[953]) / 0.026181 - vX_[1006] * vX_[948] - vX_[1025] * vX_[926] - vX_[1026] * vX_[891] - -0.000881 * vX_[1516];
+ vX_[1516] = 0.881 * vX_[1105] + -0.00370574557885489 * vX_[254] + 0.880970354035369 * vX_[660] + (0.000881 * vX_[953]) / 0.026181 - vX_[1028] * vX_[948] - vX_[1030] * vX_[926] - vX_[1032] * vX_[891] - 0.110125 * vX_[1516];
+ vX_[1105] = 0 - vX_[709];
+ vX_[1241] = 0.47422804 * vX_[722] + 2.1e-05 * vX_[712] + (0.026181 * vX_[953]) / 0.026181 + vX_[1241] + vX_[1034] * vX_[1084] + vX_[141] * vX_[1516] - 0.0825825 * vX_[1105] - -0.000102 * vX_[959];
+ vX_[612] = 0 - vX_[1241];
+ vX_[711] = vX_[711] + vX_[711];
+ vX_[722] = -3.146 * (0 - vX_[722]) + vX_[142] * vX_[1084] + vX_[140] * vX_[1516] + vX_[161] * vX_[705] + vX_[158] * vX_[959] + vX_[187] * vX_[1111] + vX_[189] * vX_[709] + (vX_[154] * vX_[612]) / vX_[156] - 0.0825825 * vX_[711];
+ vX_[1105] = 3.146 * vX_[1105] + vX_[1037] * vX_[1084] + vX_[142] * vX_[1516] + vX_[167] * vX_[705] + vX_[166] * vX_[959] + vX_[189] * vX_[1111] + vX_[188] * vX_[709] + (vX_[164] * vX_[612]) / vX_[156] - 0.47422804 * vX_[711];
+ vX_[1516] = vX_[1015] * vX_[948] - vX_[1021] * vX_[926];
+ vX_[1084] = vX_[1188] * vX_[1034] - vX_[868] * vX_[141];
+ vX_[189] = 0 - vX_[1006] * vX_[865] - vX_[1024] * vX_[1336] - vX_[1026] * vX_[1516] - vX_[1045] * vX_[948] - vX_[1052] * vX_[926] - vX_[1057] * vX_[891] - 0.110125 * vX_[1084] - 0.025713 * vX_[1188];
+ vX_[1516] = -0.000227999999999999 * vX_[868] + -0.000881 * vX_[1084] - vX_[1028] * vX_[865] - vX_[1029] * vX_[1336] - vX_[1060] * vX_[1516] - vX_[1067] * vX_[948] - vX_[1074] * vX_[926] - vX_[1078] * vX_[891];
+ vX_[1084] = 0.110125 * vX_[1188] + 0.881 * vX_[1084] + -0.000881 * vX_[868] - vX_[840] * vX_[948] - vX_[137] * vX_[926];
+ vX_[183] = -0.007418 * vX_[959] + -0.000102 * vX_[711] + vX_[142] * vX_[189] + vX_[140] * vX_[1516] + -0.35 * vX_[1084] + vX_[183] * vX_[705] + vX_[175] * vX_[959] + vX_[161] * vX_[1111] + vX_[167] * vX_[709] + (2.1e-05 * vX_[612]) / vX_[156] - 0.084376 * vX_[712];
+ vX_[1516] = 0.002735 * vX_[959] + vX_[152] * vX_[189] + vX_[142] * vX_[1516] + vX_[175] * vX_[705] + vX_[182] * vX_[959] + vX_[158] * vX_[1111] + vX_[166] * vX_[709] + (-0.000102 * vX_[612]) / vX_[156] - -0.007418 * vX_[712] - 2.1e-05 * vX_[711];
+ vX_[1084] = 0.47422804 * vX_[712] + 0.0825825 * vX_[959] + vX_[1084] + vX_[153] * vX_[705] + vX_[163] * vX_[959];
+ vX_[712] = vX_[139] * vX_[183] + vX_[159] * vX_[1516] + -0.08 * vX_[1084];
+ vX_[153] = 0 - vX_[712];
+ vX_[1241] = vX_[790] * vX_[722] + vX_[177] * vX_[1105] + -1 * (vX_[1241] + (vX_[156] * vX_[612]) / vX_[156]) + (vX_[240] * vX_[153]) / vX_[203];
+ vX_[1516] = vX_[160] * vX_[183] + vX_[139] * vX_[1516] + (vX_[198] * vX_[153]) / vX_[203];
+ vX_[183] = vX_[139] * vX_[722] + vX_[159] * vX_[1105] + (vX_[225] * vX_[153]) / vX_[203];
+ vX_[1084] = -1 * vX_[1084] + (vX_[217] * vX_[153]) / vX_[203];
+ vX_[1105] = vX_[1079] * vX_[722] + vX_[139] * vX_[1105] + (vX_[201] * vX_[153]) / vX_[203];
+ vX_[712] = (vX_[248] * vX_[1084] + vX_[206] * vX_[1105] + -1 * (vX_[712] + (vX_[203] * vX_[153]) / vX_[203])) / vX_[583];
+ vX_[722] = (vX_[138] * vX_[1241] + vX_[209] * vX_[1516] + vX_[210] * vX_[1084] + vX_[1570] * vX_[1105] - vX_[1566] * vX_[712]) / vX_[580];
+ vX_[1516] = (vX_[208] * vX_[1241] + vX_[138] * vX_[1516] + 0.207 * vX_[183] + vX_[211] * vX_[1084] + vX_[998] * vX_[1105] - vX_[1568] * vX_[722] - vX_[490] * vX_[712]) / vX_[582];
+ vX_[183] = (-1 * vX_[183] - vX_[1610] * vX_[722] - vX_[1630] * vX_[712] - vX_[1627] * vX_[1516]) / vX_[1657];
+ vX_[1241] = (vX_[1615] * vX_[1084] + vX_[1616] * vX_[1105] - vX_[1587] * vX_[722] - vX_[1611] * vX_[712] - vX_[1575] * vX_[1516] - vX_[1629] * vX_[183]) / vX_[1654];
+ vX_[1105] = (vX_[208] * vX_[1084] + vX_[1668] * vX_[1105] - vX_[748] * vX_[722] - vX_[1626] * vX_[712] - vX_[484] * vX_[1516] - vX_[1664] * vX_[183] - vX_[1584] * vX_[1241]) / vX_[1656];
+ jac[1139] = - vX_[1105];
+ vX_[1241] = vX_[1241] - vX_[1666] * vX_[1105];
+ jac[1138] = - vX_[1241];
+ vX_[183] = vX_[183] - vX_[1665] * vX_[1105] - vX_[1599] * vX_[1241];
+ jac[1137] = - vX_[183];
+ vX_[1516] = vX_[1516] - vX_[1614] * vX_[1241] - vX_[1628] * vX_[183] - vX_[1660] * vX_[1105];
+ jac[1136] = - vX_[1516];
+ vX_[722] = vX_[722] - vX_[1619] * vX_[183] - vX_[1565] * vX_[1516] - vX_[1613] * vX_[1241] - vX_[1659] * vX_[1105];
+ jac[1134] = vX_[584] * vX_[1516] + vX_[1567] * vX_[722] + vX_[1593] * vX_[183] + vX_[1612] * vX_[1241] + vX_[1658] * vX_[1105] - vX_[712];
+ jac[1135] = - vX_[722];
+ vX_[722] = -1 * jac[1134];
+ vX_[1516] = vX_[450] * jac[1136] + vX_[370] * jac[1135];
+ vX_[183] = vX_[370] * jac[1136] + vX_[451] * jac[1135];
+ vX_[1241] = -1 * jac[1137];
+ vX_[1105] = 0.207 * jac[1136] + vX_[1241];
+ vX_[712] = vX_[1481] * jac[1136] + vX_[1572] * jac[1135] + vX_[448] * jac[1134] + vX_[1670] * jac[1139] + vX_[1618] * jac[1138];
+ jac[1140] = (0 - vX_[445] * vX_[722] - vX_[482] * vX_[1516] - vX_[440] * vX_[183] - vX_[467] * vX_[1105] - vX_[459] * (vX_[453] * jac[1136] + vX_[452] * jac[1135] + vX_[1573] * jac[1134] + vX_[450] * jac[1139] + vX_[1617] * jac[1138]) - vX_[443] * vX_[712]) / vX_[445];
+ vX_[1084] = -1 * vX_[1516];
+ vX_[163] = vX_[722] + jac[1140];
+ vX_[189] = vX_[371] * vX_[1105] + vX_[1562] * vX_[712] + vX_[1275] * vX_[1516];
+ vX_[712] = vX_[398] * vX_[1105] + vX_[371] * vX_[712] + vX_[419] * vX_[1516];
+ jac[1141] = (0 - vX_[395] * vX_[1084] - vX_[402] * (vX_[371] * vX_[163] + vX_[399] * vX_[183]) - vX_[383] * (vX_[398] * vX_[163] + vX_[371] * vX_[183]) - vX_[393] * vX_[189] - vX_[406] * vX_[712]) / vX_[395];
+ vX_[1084] = vX_[1084] + jac[1141];
+ jac[1142] = (0 - 0.1104774 * (vX_[372] * vX_[189] + vX_[1520] * vX_[712] + vX_[1517] * vX_[1084]) - -0.0004405 * (vX_[374] * vX_[189] + vX_[372] * vX_[712] + vX_[377] * vX_[1084]) - 0.026181 * vX_[1084]) / 0.026181;
+ vX_[1084] = vX_[328] * jac[1136] + vX_[249] * jac[1135];
+ vX_[712] = vX_[330] * jac[1136] + vX_[328] * jac[1135];
+ vX_[189] = 0.207 * jac[1136] + jac[1137];
+ vX_[163] = vX_[1318] * jac[1136] + vX_[1571] * jac[1135] + vX_[327] * jac[1134] + vX_[1669] * jac[1139] + vX_[328] * jac[1138];
+ jac[1143] = (0 - vX_[324] * jac[1134] - vX_[360] * vX_[1084] - vX_[319] * vX_[712] - vX_[345] * vX_[189] - vX_[337] * (vX_[331] * jac[1136] + vX_[329] * jac[1135] + vX_[368] * jac[1134] + vX_[328] * jac[1139] + vX_[249] * jac[1138]) - vX_[322] * vX_[163]) / vX_[324];
+ vX_[183] = jac[1134] + jac[1143];
+ vX_[1105] = vX_[1229] * vX_[189] + vX_[1319] * vX_[163] + vX_[1274] * vX_[1084];
+ vX_[163] = vX_[698] * vX_[189] + vX_[250] * vX_[163] + vX_[299] * vX_[1084];
+ jac[1144] = (0 - vX_[274] * vX_[1084] - vX_[281] * (vX_[297] * vX_[183] + vX_[278] * vX_[712]) - vX_[262] * (vX_[278] * vX_[183] + vX_[250] * vX_[712]) - vX_[272] * vX_[1105] - vX_[285] * vX_[163]) / vX_[274];
+ vX_[1084] = vX_[1084] + jac[1144];
+ jac[1145] = (0 - 0.1104774 * (vX_[251] * vX_[1105] + vX_[1276] * vX_[163] + vX_[1252] * vX_[1084]) - -0.0004405 * (vX_[253] * vX_[1105] + vX_[251] * vX_[163] + vX_[256] * vX_[1084]) - 0.026181 * vX_[1084]) / 0.026181;
+ vX_[1084] = vX_[208] * jac[1136] + vX_[138] * jac[1135];
+ vX_[163] = vX_[138] * jac[1136] + vX_[209] * jac[1135];
+ vX_[1241] = 0.207 * jac[1136] + vX_[1241];
+ vX_[1105] = vX_[998] * jac[1136] + vX_[1570] * jac[1135] + vX_[206] * jac[1134] + vX_[1668] * jac[1139] + vX_[1616] * jac[1138];
+ jac[1146] = (vX_[153] - vX_[203] * vX_[722] - vX_[240] * vX_[1084] - vX_[198] * vX_[163] - vX_[225] * vX_[1241] - vX_[217] * (vX_[211] * jac[1136] + vX_[210] * jac[1135] + vX_[248] * jac[1134] + vX_[208] * jac[1139] + vX_[1615] * jac[1138]) - vX_[201] * vX_[1105]) / vX_[203];
+ vX_[153] = -1 * vX_[1084];
+ vX_[722] = vX_[722] + jac[1146];
+ vX_[1111] = vX_[139] * vX_[1241] + vX_[1079] * vX_[1105] + vX_[790] * vX_[1084] + vX_[1111];
+ vX_[1105] = vX_[159] * vX_[1241] + vX_[139] * vX_[1105] + vX_[177] * vX_[1084] + vX_[709];
+ jac[1147] = (vX_[612] - vX_[156] * vX_[153] - 2.1e-05 * (vX_[139] * vX_[722] + vX_[160] * vX_[163] + vX_[705]) - -0.000102 * (vX_[159] * vX_[722] + vX_[139] * vX_[163] + vX_[959]) - vX_[154] * vX_[1111] - vX_[164] * vX_[1105]) / vX_[156];
+ vX_[153] = vX_[153] + jac[1147];
+ jac[1148] = (vX_[953] - 0.110125 * (vX_[142] * vX_[1111] + vX_[1037] * vX_[1105] + vX_[1034] * vX_[153] + vX_[254]) - 0.000881 * (vX_[140] * vX_[1111] + vX_[142] * vX_[1105] + vX_[141] * vX_[153] + vX_[660]) - 0.026181 * vX_[153]) / 0.026181;
+ vX_[153] = vX_[96] * jac[1136] + vX_[26] * jac[1135];
+ vX_[1105] = vX_[98] * jac[1136] + vX_[96] * jac[1135];
+ vX_[1111] = 0.207 * jac[1136] + jac[1137];
+ vX_[953] = vX_[834] * jac[1136] + vX_[1569] * jac[1135] + vX_[95] * jac[1134] + vX_[1667] * jac[1139] + vX_[96] * jac[1138];
+ jac[1149] = (0 - vX_[92] * jac[1134] - vX_[128] * vX_[153] - vX_[87] * vX_[1105] - vX_[113] * vX_[1111] - vX_[105] * (vX_[99] * jac[1136] + vX_[97] * jac[1135] + vX_[136] * jac[1134] + vX_[96] * jac[1139] + vX_[26] * jac[1138]) - vX_[90] * vX_[953]) / vX_[92];
+ vX_[660] = jac[1134] + jac[1149];
+ vX_[254] = vX_[746] * vX_[1111] + vX_[835] * vX_[953] + vX_[789] * vX_[153];
+ vX_[953] = vX_[613] * vX_[1111] + vX_[13] * vX_[953] + vX_[67] * vX_[153];
+ jac[1150] = (0 - vX_[42] * vX_[153] - vX_[49] * (vX_[65] * vX_[660] + vX_[46] * vX_[1105]) - vX_[30] * (vX_[46] * vX_[660] + vX_[13] * vX_[1105]) - vX_[40] * vX_[254] - vX_[53] * vX_[953]) / vX_[42];
+ vX_[153] = vX_[153] + jac[1150];
+ jac[1151] = (0 - 0.1104774 * (vX_[15] * vX_[254] + vX_[791] * vX_[953] + vX_[766] * vX_[153]) - 0.0004405 * (vX_[23] * vX_[254] + vX_[15] * vX_[953] + vX_[25] * vX_[153]) - 0.026181 * vX_[153]) / 0.026181;
+ vX_[942] = -1000. * (vX_[879] * vX_[886] + vX_[916] * vX_[921] + vX_[942] * vX_[945]) * vX_[991];
+ vX_[1010] = -1000. * (vX_[915] * vX_[886] + vX_[878] * vX_[921] + vX_[1010] * vX_[945]) * vX_[991];
+ vX_[913] = -1000. * (vX_[941] * vX_[886] + vX_[1009] * vX_[921] + vX_[913] * vX_[945]) * vX_[991];
+ vX_[1012] = vX_[861] * vX_[942] + vX_[1007] * vX_[1010] + vX_[1012] * vX_[913];
+ vX_[1005] = vX_[1018] * vX_[942] + vX_[992] * vX_[1010] + vX_[1005] * vX_[913];
+ vX_[992] = vX_[839] * vX_[1012] - vX_[1015] * vX_[1005];
+ vX_[913] = vX_[870] * vX_[942] + vX_[860] * vX_[1010] + vX_[1017] * vX_[913];
+ vX_[839] = vX_[1021] * vX_[1005] - vX_[839] * vX_[913];
+ vX_[1010] = 0 - vX_[3];
+ vX_[999] = 0.110125 * vX_[1104] - vX_[836] * vX_[992] - vX_[137] * vX_[839] - vX_[862] * vX_[913] - vX_[994] * vX_[1012] - vX_[999] * vX_[1005] - -0.000881 * vX_[1010];
+ vX_[994] = 0 - vX_[999];
+ vX_[788] = vX_[788] + vX_[788];
+ vX_[1104] = -0.881 * (0 - vX_[1104]) + 0.417781802643138 * vX_[7] + -0.00370574557885489 * vX_[3] + (0.110125 * vX_[994]) / 0.026181 - vX_[1006] * vX_[913] - vX_[1025] * vX_[1012] - vX_[1026] * vX_[1005] - -0.000881 * vX_[788];
+ vX_[788] = 0.881 * vX_[1010] + -0.00370574557885489 * vX_[7] + 0.880970354035369 * vX_[3] + (0.000881 * vX_[994]) / 0.026181 - vX_[1028] * vX_[913] - vX_[1030] * vX_[1012] - vX_[1032] * vX_[1005] - 0.110125 * vX_[788];
+ vX_[999] = (0.026181 * vX_[994]) / 0.026181 + vX_[999] + vX_[1034] * vX_[1104] + vX_[141] * vX_[788];
+ vX_[1010] = 0 - vX_[999];
+ vX_[1032] = vX_[142] * vX_[1104] + vX_[140] * vX_[788] + (vX_[154] * vX_[1010]) / vX_[156];
+ vX_[788] = vX_[1037] * vX_[1104] + vX_[142] * vX_[788] + (vX_[164] * vX_[1010]) / vX_[156];
+ vX_[1021] = vX_[1015] * vX_[913] - vX_[1021] * vX_[1012];
+ vX_[1057] = 0.026409 * vX_[1033] - vX_[1006] * vX_[992] - vX_[1024] * vX_[839] - vX_[1026] * vX_[1021] - vX_[1045] * vX_[913] - vX_[1052] * vX_[1012] - vX_[1057] * vX_[1005] - 0.025713 * vX_[1188];
+ vX_[1021] = -0.000227999999999999 * vX_[868] + 0.000468 * vX_[868] - vX_[1028] * vX_[992] - vX_[1029] * vX_[839] - vX_[1060] * vX_[1021] - vX_[1067] * vX_[913] - vX_[1074] * vX_[1012] - vX_[1078] * vX_[1005];
+ vX_[913] = 0.110125 * vX_[1188] + -0.000881 * vX_[868] + -0.110125 * vX_[1033] + -0.000881 * vX_[868] - vX_[840] * vX_[913] - vX_[137] * vX_[1012];
+ vX_[1012] = vX_[142] * vX_[1057] + vX_[140] * vX_[1021] + -0.35 * vX_[913] + (2.1e-05 * vX_[1010]) / vX_[156];
+ vX_[1021] = vX_[152] * vX_[1057] + vX_[142] * vX_[1021] + (-0.000102 * vX_[1010]) / vX_[156];
+ vX_[1057] = vX_[139] * vX_[1012] + vX_[159] * vX_[1021] + -0.08 * vX_[913];
+ vX_[152] = 0 - vX_[1057];
+ vX_[999] = vX_[790] * vX_[1032] + vX_[177] * vX_[788] + -1 * (vX_[999] + (vX_[156] * vX_[1010]) / vX_[156]) + (vX_[240] * vX_[152]) / vX_[203];
+ vX_[1021] = vX_[160] * vX_[1012] + vX_[139] * vX_[1021] + (vX_[198] * vX_[152]) / vX_[203];
+ vX_[1012] = vX_[139] * vX_[1032] + vX_[159] * vX_[788] + (vX_[225] * vX_[152]) / vX_[203];
+ vX_[913] = -1 * vX_[913] + (vX_[217] * vX_[152]) / vX_[203];
+ vX_[788] = vX_[1079] * vX_[1032] + vX_[139] * vX_[788] + (vX_[201] * vX_[152]) / vX_[203];
+ vX_[1057] = (vX_[248] * vX_[913] + vX_[206] * vX_[788] + -1 * (vX_[1057] + (vX_[203] * vX_[152]) / vX_[203])) / vX_[583];
+ vX_[1032] = (vX_[138] * vX_[999] + vX_[209] * vX_[1021] + vX_[210] * vX_[913] + vX_[1570] * vX_[788] - vX_[1566] * vX_[1057]) / vX_[580];
+ vX_[1021] = (vX_[208] * vX_[999] + vX_[138] * vX_[1021] + 0.207 * vX_[1012] + vX_[211] * vX_[913] + vX_[998] * vX_[788] - vX_[1568] * vX_[1032] - vX_[490] * vX_[1057]) / vX_[582];
+ vX_[1012] = (-1 * vX_[1012] - vX_[1610] * vX_[1032] - vX_[1630] * vX_[1057] - vX_[1627] * vX_[1021]) / vX_[1657];
+ vX_[999] = (vX_[1615] * vX_[913] + vX_[1616] * vX_[788] - vX_[1587] * vX_[1032] - vX_[1611] * vX_[1057] - vX_[1575] * vX_[1021] - vX_[1629] * vX_[1012]) / vX_[1654];
+ vX_[788] = (vX_[208] * vX_[913] + vX_[1668] * vX_[788] - vX_[748] * vX_[1032] - vX_[1626] * vX_[1057] - vX_[484] * vX_[1021] - vX_[1664] * vX_[1012] - vX_[1584] * vX_[999]) / vX_[1656];
+ jac[1175] = - vX_[788];
+ vX_[999] = vX_[999] - vX_[1666] * vX_[788];
+ jac[1174] = - vX_[999];
+ vX_[1012] = vX_[1012] - vX_[1665] * vX_[788] - vX_[1599] * vX_[999];
+ jac[1173] = - vX_[1012];
+ vX_[1021] = vX_[1021] - vX_[1614] * vX_[999] - vX_[1628] * vX_[1012] - vX_[1660] * vX_[788];
+ jac[1172] = - vX_[1021];
+ vX_[1032] = vX_[1032] - vX_[1619] * vX_[1012] - vX_[1565] * vX_[1021] - vX_[1613] * vX_[999] - vX_[1659] * vX_[788];
+ jac[1170] = vX_[584] * vX_[1021] + vX_[1567] * vX_[1032] + vX_[1593] * vX_[1012] + vX_[1612] * vX_[999] + vX_[1658] * vX_[788] - vX_[1057];
+ jac[1171] = - vX_[1032];
+ vX_[1032] = -1 * jac[1170];
+ vX_[1021] = vX_[450] * jac[1172] + vX_[370] * jac[1171];
+ vX_[1012] = vX_[370] * jac[1172] + vX_[451] * jac[1171];
+ vX_[999] = -1 * jac[1173];
+ vX_[788] = 0.207 * jac[1172] + vX_[999];
+ vX_[1057] = vX_[1481] * jac[1172] + vX_[1572] * jac[1171] + vX_[448] * jac[1170] + vX_[1670] * jac[1175] + vX_[1618] * jac[1174];
+ jac[1176] = (0 - vX_[445] * vX_[1032] - vX_[482] * vX_[1021] - vX_[440] * vX_[1012] - vX_[467] * vX_[788] - vX_[459] * (vX_[453] * jac[1172] + vX_[452] * jac[1171] + vX_[1573] * jac[1170] + vX_[450] * jac[1175] + vX_[1617] * jac[1174]) - vX_[443] * vX_[1057]) / vX_[445];
+ vX_[913] = -1 * vX_[1021];
+ vX_[1033] = vX_[1032] + jac[1176];
+ vX_[868] = vX_[371] * vX_[788] + vX_[1562] * vX_[1057] + vX_[1275] * vX_[1021];
+ vX_[1057] = vX_[398] * vX_[788] + vX_[371] * vX_[1057] + vX_[419] * vX_[1021];
+ jac[1177] = (0 - vX_[395] * vX_[913] - vX_[402] * (vX_[371] * vX_[1033] + vX_[399] * vX_[1012]) - vX_[383] * (vX_[398] * vX_[1033] + vX_[371] * vX_[1012]) - vX_[393] * vX_[868] - vX_[406] * vX_[1057]) / vX_[395];
+ vX_[913] = vX_[913] + jac[1177];
+ jac[1178] = (0 - 0.1104774 * (vX_[372] * vX_[868] + vX_[1520] * vX_[1057] + vX_[1517] * vX_[913]) - -0.0004405 * (vX_[374] * vX_[868] + vX_[372] * vX_[1057] + vX_[377] * vX_[913]) - 0.026181 * vX_[913]) / 0.026181;
+ vX_[913] = vX_[328] * jac[1172] + vX_[249] * jac[1171];
+ vX_[1057] = vX_[330] * jac[1172] + vX_[328] * jac[1171];
+ vX_[868] = 0.207 * jac[1172] + jac[1173];
+ vX_[1033] = vX_[1318] * jac[1172] + vX_[1571] * jac[1171] + vX_[327] * jac[1170] + vX_[1669] * jac[1175] + vX_[328] * jac[1174];
+ jac[1179] = (0 - vX_[324] * jac[1170] - vX_[360] * vX_[913] - vX_[319] * vX_[1057] - vX_[345] * vX_[868] - vX_[337] * (vX_[331] * jac[1172] + vX_[329] * jac[1171] + vX_[368] * jac[1170] + vX_[328] * jac[1175] + vX_[249] * jac[1174]) - vX_[322] * vX_[1033]) / vX_[324];
+ vX_[1012] = jac[1170] + jac[1179];
+ vX_[788] = vX_[1229] * vX_[868] + vX_[1319] * vX_[1033] + vX_[1274] * vX_[913];
+ vX_[1033] = vX_[698] * vX_[868] + vX_[250] * vX_[1033] + vX_[299] * vX_[913];
+ jac[1180] = (0 - vX_[274] * vX_[913] - vX_[281] * (vX_[297] * vX_[1012] + vX_[278] * vX_[1057]) - vX_[262] * (vX_[278] * vX_[1012] + vX_[250] * vX_[1057]) - vX_[272] * vX_[788] - vX_[285] * vX_[1033]) / vX_[274];
+ vX_[913] = vX_[913] + jac[1180];
+ jac[1181] = (0 - 0.1104774 * (vX_[251] * vX_[788] + vX_[1276] * vX_[1033] + vX_[1252] * vX_[913]) - -0.0004405 * (vX_[253] * vX_[788] + vX_[251] * vX_[1033] + vX_[256] * vX_[913]) - 0.026181 * vX_[913]) / 0.026181;
+ vX_[913] = vX_[208] * jac[1172] + vX_[138] * jac[1171];
+ vX_[1033] = vX_[138] * jac[1172] + vX_[209] * jac[1171];
+ vX_[999] = 0.207 * jac[1172] + vX_[999];
+ vX_[788] = vX_[998] * jac[1172] + vX_[1570] * jac[1171] + vX_[206] * jac[1170] + vX_[1668] * jac[1175] + vX_[1616] * jac[1174];
+ jac[1182] = (vX_[152] - vX_[203] * vX_[1032] - vX_[240] * vX_[913] - vX_[198] * vX_[1033] - vX_[225] * vX_[999] - vX_[217] * (vX_[211] * jac[1172] + vX_[210] * jac[1171] + vX_[248] * jac[1170] + vX_[208] * jac[1175] + vX_[1615] * jac[1174]) - vX_[201] * vX_[788]) / vX_[203];
+ vX_[152] = -1 * vX_[913];
+ vX_[1032] = vX_[1032] + jac[1182];
+ vX_[1012] = vX_[139] * vX_[999] + vX_[1079] * vX_[788] + vX_[790] * vX_[913];
+ vX_[788] = vX_[159] * vX_[999] + vX_[139] * vX_[788] + vX_[177] * vX_[913];
+ jac[1183] = (vX_[1010] - vX_[156] * vX_[152] - 2.1e-05 * (vX_[139] * vX_[1032] + vX_[160] * vX_[1033]) - -0.000102 * (vX_[159] * vX_[1032] + vX_[139] * vX_[1033]) - vX_[154] * vX_[1012] - vX_[164] * vX_[788]) / vX_[156];
+ vX_[152] = vX_[152] + jac[1183];
+ jac[1184] = (vX_[994] - 0.110125 * (vX_[142] * vX_[1012] + vX_[1037] * vX_[788] + vX_[1034] * vX_[152] + vX_[7]) - 0.000881 * (vX_[140] * vX_[1012] + vX_[142] * vX_[788] + vX_[141] * vX_[152] + vX_[3]) - 0.026181 * vX_[152]) / 0.026181;
+ vX_[152] = vX_[96] * jac[1172] + vX_[26] * jac[1171];
+ vX_[788] = vX_[98] * jac[1172] + vX_[96] * jac[1171];
+ vX_[1012] = 0.207 * jac[1172] + jac[1173];
+ vX_[994] = vX_[834] * jac[1172] + vX_[1569] * jac[1171] + vX_[95] * jac[1170] + vX_[1667] * jac[1175] + vX_[96] * jac[1174];
+ jac[1185] = (0 - vX_[92] * jac[1170] - vX_[128] * vX_[152] - vX_[87] * vX_[788] - vX_[113] * vX_[1012] - vX_[105] * (vX_[99] * jac[1172] + vX_[97] * jac[1171] + vX_[136] * jac[1170] + vX_[96] * jac[1175] + vX_[26] * jac[1174]) - vX_[90] * vX_[994]) / vX_[92];
+ vX_[7] = jac[1170] + jac[1185];
+ vX_[3] = vX_[746] * vX_[1012] + vX_[835] * vX_[994] + vX_[789] * vX_[152];
+ vX_[994] = vX_[613] * vX_[1012] + vX_[13] * vX_[994] + vX_[67] * vX_[152];
+ jac[1186] = (0 - vX_[42] * vX_[152] - vX_[49] * (vX_[65] * vX_[7] + vX_[46] * vX_[788]) - vX_[30] * (vX_[46] * vX_[7] + vX_[13] * vX_[788]) - vX_[40] * vX_[3] - vX_[53] * vX_[994]) / vX_[42];
+ vX_[152] = vX_[152] + jac[1186];
+ jac[1187] = (0 - 0.1104774 * (vX_[15] * vX_[3] + vX_[791] * vX_[994] + vX_[766] * vX_[152]) - 0.0004405 * (vX_[23] * vX_[3] + vX_[15] * vX_[994] + vX_[25] * vX_[152]) - 0.026181 * vX_[152]) / 0.026181;
+ vX_[152] = 0 - vX_[1210];
+ vX_[892] = vX_[892] + vX_[892];
+ vX_[994] = vX_[1199] * 0.08 + vX_[46] * vX_[909];
+ vX_[3] = vX_[1199] * vX_[65] + vX_[46] * vX_[1661];
+ vX_[7] = vX_[46] * vX_[625];
+ vX_[788] = -0.35 * vX_[65] + 0.08;
+ vX_[1012] = vX_[15] * vX_[46] + vX_[23] * vX_[65];
+ vX_[1032] = vX_[621] * vX_[788] + vX_[1012] * vX_[997];
+ vX_[1033] = vX_[20] * vX_[46] + vX_[15] * vX_[65];
+ vX_[1010] = vX_[621] * vX_[1033] + vX_[1012] * vX_[1211];
+ vX_[999] = -1000. * (vX_[627] * vX_[644] + vX_[662] * vX_[679]) * vX_[739];
+ vX_[913] = -1000. * (vX_[661] * vX_[644] + vX_[626] * vX_[679]) * vX_[739];
+ vX_[679] = -1000. * (vX_[688] * vX_[644] + vX_[759] * vX_[679]) * vX_[739];
+ vX_[644] = vX_[609] * vX_[999] + vX_[757] * vX_[913] + vX_[762] * vX_[679];
+ vX_[1057] = vX_[768] * vX_[999] + vX_[706] * vX_[913] + vX_[755] * vX_[679];
+ vX_[868] = vX_[587] * vX_[644] - vX_[765] * vX_[1057];
+ vX_[679] = vX_[618] * vX_[999] + vX_[608] * vX_[913] + vX_[767] * vX_[679];
+ vX_[913] = vX_[771] * vX_[1057] - vX_[587] * vX_[679];
+ vX_[788] = vX_[1211] * vX_[788] + vX_[1033] * vX_[997];
+ vX_[997] = 0.1104774 * (0 - vX_[1032]) + 0.025941 * vX_[1010] - vX_[96] * vX_[868] - vX_[26] * vX_[913] - vX_[610] * vX_[679] - vX_[742] * vX_[644] - vX_[749] * vX_[1057] - -0.0004405 * vX_[788];
+ vX_[999] = 0 - vX_[997];
+ vX_[1021] = vX_[1033] * vX_[855];
+ vX_[1188] = vX_[1033] * x_in[35];
+ vX_[840] = vX_[621] * vX_[1012] + vX_[1012] * vX_[621];
+ vX_[137] = -0.881 * vX_[1032] + 0.1104774 * vX_[1010] + 8.81e-05 * vX_[1021] + -8.81e-05 * vX_[1188] + (0.1104774 * vX_[999]) / 0.026181 - vX_[772] * vX_[679] - vX_[777] * vX_[644] - vX_[778] * vX_[1057] - -0.0004405 * vX_[840];
+ vX_[839] = vX_[1012] * vX_[855];
+ vX_[992] = (- vX_[1012]) * x_in[35];
+ vX_[1005] = vX_[1211] * vX_[1033] + vX_[1033] * vX_[1211];
+ vX_[1010] = 0.881 * vX_[788] + 8.81e-05 * vX_[839] + -0.0004405 * vX_[1010] + 8.81e-05 * vX_[992] + (0.0004405 * vX_[999]) / 0.026181 - vX_[781] * vX_[679] - vX_[783] * vX_[644] - vX_[786] * vX_[1057] - 0.1104774 * vX_[1005];
+ vX_[909] = vX_[1661] * 0.08 + vX_[65] * vX_[909];
+ vX_[1078] = vX_[65] * vX_[625];
+ vX_[1074] = vX_[1661] * vX_[65] + vX_[65] * vX_[1661];
+ vX_[1067] = vX_[1199] * vX_[46] + vX_[46] * vX_[1199];
+ vX_[997] = 0.47422804 * (0 - vX_[994]) + 0.081641 * vX_[3] + 2.1e-05 * vX_[7] + (0.026181 * vX_[999]) / 0.026181 + vX_[997] + vX_[766] * vX_[137] + vX_[25] * vX_[1010] - 0.0825825 * vX_[909] - -0.000102 * vX_[1078] - -0.007418 * (vX_[1074] - vX_[1067]);
+ vX_[1060] = 0 - vX_[997];
+ vX_[1029] = (- vX_[46]) * x_in[34];
+ vX_[1028] = vX_[65] * x_in[34];
+ vX_[994] = -3.146 * vX_[994] + 0.47422804 * vX_[3] + vX_[15] * vX_[137] + vX_[23] * vX_[1010] + vX_[50] * vX_[1029] + vX_[44] * vX_[1028] + (vX_[40] * vX_[1060]) / vX_[42] - 0.0825825 * vX_[1067];
+ vX_[909] = 3.146 * vX_[909] + 0.0825825 * vX_[3] + vX_[791] * vX_[137] + vX_[15] * vX_[1010] + vX_[56] * vX_[1029] + vX_[55] * vX_[1028] + (vX_[53] * vX_[1060]) / vX_[42] - 0.47422804 * vX_[1074];
+ vX_[1010] = vX_[765] * vX_[679] - vX_[771] * vX_[644];
+ vX_[1033] = vX_[1012] * vX_[857] - vX_[1033] * vX_[960];
+ vX_[788] = 8.81e-05 * vX_[788] + 0.026409 * vX_[992] - vX_[772] * vX_[868] - vX_[776] * vX_[913] - vX_[778] * vX_[1010] - vX_[800] * vX_[679] - vX_[807] * vX_[644] - vX_[812] * vX_[1057] - 0.1104774 * vX_[1033] - 0.025713 * vX_[839];
+ vX_[1010] = -0.0004405 * vX_[1033] + 8.81e-05 * vX_[1032] + -0.000227999999999999 * vX_[1021] + 0.000468 * vX_[1188] - vX_[780] * vX_[868] - vX_[783] * vX_[913] - vX_[785] * vX_[1010] - vX_[821] * vX_[679] - vX_[828] * vX_[644] - vX_[833] * vX_[1057];
+ vX_[1033] = 0.881 * vX_[1033] + 0.1104774 * vX_[839] + -0.0004405 * vX_[1021] + -0.1104774 * vX_[992] + -0.0004405 * vX_[1188] - vX_[96] * vX_[679] - vX_[26] * vX_[644] - 8.81e-05 * (vX_[1005] + vX_[840]);
+ vX_[1005] = vX_[46] * vX_[859] - vX_[65] * vX_[976];
+ vX_[1067] = -0.007418 * vX_[1078] + -0.000102 * (0 - vX_[1067]) + vX_[15] * vX_[788] + vX_[23] * vX_[1010] + -0.35 * vX_[1033] + vX_[72] * vX_[1029] + vX_[64] * vX_[1028] + (vX_[49] * vX_[1060]) / vX_[42] - 0.47422804 * vX_[1005] - 0.084376 * vX_[7] - 2.1e-05 * vX_[3];
+ vX_[1010] = 0.002735 * vX_[1078] + 0.0825825 * vX_[1005] + -0.000102 * vX_[3] + vX_[20] * vX_[788] + vX_[15] * vX_[1010] + vX_[64] * vX_[1029] + vX_[71] * vX_[1028] + (vX_[30] * vX_[1060]) / vX_[42] - -0.007418 * vX_[7] - 2.1e-05 * (0 - vX_[1074]);
+ vX_[1005] = 0.47422804 * vX_[7] + 3.146 * vX_[1005] + 0.0825825 * vX_[1078] + vX_[1033] + vX_[39] * vX_[1029] + vX_[52] * vX_[1028];
+ vX_[1033] = 0.1466472 * vX_[1094] + -5.1e-05 * vX_[1148] + vX_[65] * vX_[1067] + vX_[46] * vX_[1010] + 0.08 * vX_[1005] - -0.022734 * vX_[1113];
+ vX_[1078] = 0 - vX_[1033];
+ vX_[997] = 0.5824264 * vX_[152] + -3.6e-05 * vX_[1113] + -0.022734 * vX_[892] + (vX_[42] * vX_[1060]) / vX_[42] + vX_[997] + vX_[789] * vX_[994] + vX_[67] * vX_[909] + vX_[493] * vX_[912] + vX_[548] * vX_[1113] + vX_[129] * vX_[654] + vX_[118] * vX_[1210] + (vX_[128] * vX_[1078]) / vX_[92] - -0.123672 * vX_[1148];
+ vX_[1010] = -0.133138 * vX_[1113] + 0.5824264 * (0 - vX_[1094]) + vX_[46] * vX_[1067] + vX_[13] * vX_[1010] + vX_[548] * vX_[912] + vX_[91] * vX_[1113] + vX_[119] * vX_[654] + vX_[94] * vX_[1210] + (vX_[87] * vX_[1078]) / vX_[92] - -3.6e-05 * vX_[1148] - -5.1e-05 * vX_[892];
+ vX_[81] = 0.1466472 * vX_[1148] + vX_[746] * vX_[994] + vX_[613] * vX_[909] + vX_[104] * vX_[912] + vX_[81] * vX_[1113] + vX_[122] * vX_[654] + vX_[115] * vX_[1210] + (vX_[113] * vX_[1078]) / vX_[92];
+ vX_[1005] = -3.44 * (0 - vX_[1094]) + 0.5824264 * vX_[1113] + vX_[1005] + vX_[129] * vX_[912] + vX_[119] * vX_[1113] + vX_[121] * vX_[654] + vX_[107] * vX_[1210] + (vX_[105] * vX_[1078]) / vX_[92];
+ vX_[909] = 3.44 * vX_[152] + 0.5824264 * vX_[1148] + vX_[835] * vX_[994] + vX_[13] * vX_[909] + vX_[118] * vX_[912] + vX_[94] * vX_[1113] + vX_[107] * vX_[654] + vX_[133] * vX_[1210] + (vX_[90] * vX_[1078]) / vX_[92] - 0.1466472 * vX_[892];
+ vX_[1033] = ((vX_[92] * vX_[1078]) / vX_[92] + vX_[1033] + vX_[136] * vX_[1005] + vX_[95] * vX_[909]) / vX_[583];
+ vX_[994] = (vX_[26] * vX_[997] + vX_[96] * vX_[1010] + vX_[97] * vX_[1005] + vX_[1569] * vX_[909] - vX_[1566] * vX_[1033]) / vX_[580];
+ vX_[1010] = (vX_[96] * vX_[997] + vX_[98] * vX_[1010] + 0.207 * vX_[81] + vX_[99] * vX_[1005] + vX_[834] * vX_[909] - vX_[1568] * vX_[994] - vX_[490] * vX_[1033]) / vX_[582];
+ vX_[81] = (vX_[81] - vX_[1610] * vX_[994] - vX_[1630] * vX_[1033] - vX_[1627] * vX_[1010]) / vX_[1657];
+ vX_[997] = (vX_[26] * vX_[1005] + vX_[96] * vX_[909] - vX_[1587] * vX_[994] - vX_[1611] * vX_[1033] - vX_[1575] * vX_[1010] - vX_[1629] * vX_[81]) / vX_[1654];
+ vX_[909] = (vX_[96] * vX_[1005] + vX_[1667] * vX_[909] - vX_[748] * vX_[994] - vX_[1626] * vX_[1033] - vX_[484] * vX_[1010] - vX_[1664] * vX_[81] - vX_[1584] * vX_[997]) / vX_[1656];
+ jac[1211] = - vX_[909];
+ vX_[997] = vX_[997] - vX_[1666] * vX_[909];
+ jac[1210] = - vX_[997];
+ vX_[81] = vX_[81] - vX_[1665] * vX_[909] - vX_[1599] * vX_[997];
+ jac[1209] = - vX_[81];
+ vX_[1010] = vX_[1010] - vX_[1614] * vX_[997] - vX_[1628] * vX_[81] - vX_[1660] * vX_[909];
+ jac[1208] = - vX_[1010];
+ vX_[994] = vX_[994] - vX_[1619] * vX_[81] - vX_[1565] * vX_[1010] - vX_[1613] * vX_[997] - vX_[1659] * vX_[909];
+ jac[1206] = vX_[584] * vX_[1010] + vX_[1567] * vX_[994] + vX_[1593] * vX_[81] + vX_[1612] * vX_[997] + vX_[1658] * vX_[909] - vX_[1033];
+ jac[1207] = - vX_[994];
+ vX_[994] = -1 * jac[1206];
+ vX_[1010] = vX_[450] * jac[1208] + vX_[370] * jac[1207];
+ vX_[81] = vX_[370] * jac[1208] + vX_[451] * jac[1207];
+ vX_[997] = -1 * jac[1209];
+ vX_[909] = 0.207 * jac[1208] + vX_[997];
+ vX_[1033] = vX_[1481] * jac[1208] + vX_[1572] * jac[1207] + vX_[448] * jac[1206] + vX_[1670] * jac[1211] + vX_[1618] * jac[1210];
+ jac[1212] = (0 - vX_[445] * vX_[994] - vX_[482] * vX_[1010] - vX_[440] * vX_[81] - vX_[467] * vX_[909] - vX_[459] * (vX_[453] * jac[1208] + vX_[452] * jac[1207] + vX_[1573] * jac[1206] + vX_[450] * jac[1211] + vX_[1617] * jac[1210]) - vX_[443] * vX_[1033]) / vX_[445];
+ vX_[1005] = -1 * vX_[1010];
+ vX_[892] = vX_[994] + jac[1212];
+ vX_[152] = vX_[371] * vX_[909] + vX_[1562] * vX_[1033] + vX_[1275] * vX_[1010];
+ vX_[1033] = vX_[398] * vX_[909] + vX_[371] * vX_[1033] + vX_[419] * vX_[1010];
+ jac[1213] = (0 - vX_[395] * vX_[1005] - vX_[402] * (vX_[371] * vX_[892] + vX_[399] * vX_[81]) - vX_[383] * (vX_[398] * vX_[892] + vX_[371] * vX_[81]) - vX_[393] * vX_[152] - vX_[406] * vX_[1033]) / vX_[395];
+ vX_[1005] = vX_[1005] + jac[1213];
+ jac[1214] = (0 - 0.1104774 * (vX_[372] * vX_[152] + vX_[1520] * vX_[1033] + vX_[1517] * vX_[1005]) - -0.0004405 * (vX_[374] * vX_[152] + vX_[372] * vX_[1033] + vX_[377] * vX_[1005]) - 0.026181 * vX_[1005]) / 0.026181;
+ vX_[1005] = vX_[328] * jac[1208] + vX_[249] * jac[1207];
+ vX_[1033] = vX_[330] * jac[1208] + vX_[328] * jac[1207];
+ vX_[152] = 0.207 * jac[1208] + jac[1209];
+ vX_[892] = vX_[1318] * jac[1208] + vX_[1571] * jac[1207] + vX_[327] * jac[1206] + vX_[1669] * jac[1211] + vX_[328] * jac[1210];
+ jac[1215] = (0 - vX_[324] * jac[1206] - vX_[360] * vX_[1005] - vX_[319] * vX_[1033] - vX_[345] * vX_[152] - vX_[337] * (vX_[331] * jac[1208] + vX_[329] * jac[1207] + vX_[368] * jac[1206] + vX_[328] * jac[1211] + vX_[249] * jac[1210]) - vX_[322] * vX_[892]) / vX_[324];
+ vX_[81] = jac[1206] + jac[1215];
+ vX_[909] = vX_[1229] * vX_[152] + vX_[1319] * vX_[892] + vX_[1274] * vX_[1005];
+ vX_[892] = vX_[698] * vX_[152] + vX_[250] * vX_[892] + vX_[299] * vX_[1005];
+ jac[1216] = (0 - vX_[274] * vX_[1005] - vX_[281] * (vX_[297] * vX_[81] + vX_[278] * vX_[1033]) - vX_[262] * (vX_[278] * vX_[81] + vX_[250] * vX_[1033]) - vX_[272] * vX_[909] - vX_[285] * vX_[892]) / vX_[274];
+ vX_[1005] = vX_[1005] + jac[1216];
+ jac[1217] = (0 - 0.1104774 * (vX_[251] * vX_[909] + vX_[1276] * vX_[892] + vX_[1252] * vX_[1005]) - -0.0004405 * (vX_[253] * vX_[909] + vX_[251] * vX_[892] + vX_[256] * vX_[1005]) - 0.026181 * vX_[1005]) / 0.026181;
+ vX_[1005] = vX_[208] * jac[1208] + vX_[138] * jac[1207];
+ vX_[892] = vX_[138] * jac[1208] + vX_[209] * jac[1207];
+ vX_[997] = 0.207 * jac[1208] + vX_[997];
+ vX_[909] = vX_[998] * jac[1208] + vX_[1570] * jac[1207] + vX_[206] * jac[1206] + vX_[1668] * jac[1211] + vX_[1616] * jac[1210];
+ jac[1218] = (0 - vX_[203] * vX_[994] - vX_[240] * vX_[1005] - vX_[198] * vX_[892] - vX_[225] * vX_[997] - vX_[217] * (vX_[211] * jac[1208] + vX_[210] * jac[1207] + vX_[248] * jac[1206] + vX_[208] * jac[1211] + vX_[1615] * jac[1210]) - vX_[201] * vX_[909]) / vX_[203];
+ vX_[81] = -1 * vX_[1005];
+ vX_[994] = vX_[994] + jac[1218];
+ vX_[1033] = vX_[139] * vX_[997] + vX_[1079] * vX_[909] + vX_[790] * vX_[1005];
+ vX_[909] = vX_[159] * vX_[997] + vX_[139] * vX_[909] + vX_[177] * vX_[1005];
+ jac[1219] = (0 - vX_[156] * vX_[81] - 2.1e-05 * (vX_[139] * vX_[994] + vX_[160] * vX_[892]) - -0.000102 * (vX_[159] * vX_[994] + vX_[139] * vX_[892]) - vX_[154] * vX_[1033] - vX_[164] * vX_[909]) / vX_[156];
+ vX_[81] = vX_[81] + jac[1219];
+ jac[1220] = (0 - 0.110125 * (vX_[142] * vX_[1033] + vX_[1037] * vX_[909] + vX_[1034] * vX_[81]) - 0.000881 * (vX_[140] * vX_[1033] + vX_[142] * vX_[909] + vX_[141] * vX_[81]) - 0.026181 * vX_[81]) / 0.026181;
+ vX_[912] = vX_[96] * jac[1208] + vX_[26] * jac[1207] + vX_[912];
+ vX_[1113] = vX_[98] * jac[1208] + vX_[96] * jac[1207] + vX_[1113];
+ vX_[81] = 0.207 * jac[1208] + jac[1209];
+ vX_[1210] = vX_[834] * jac[1208] + vX_[1569] * jac[1207] + vX_[95] * jac[1206] + vX_[1667] * jac[1211] + vX_[96] * jac[1210] + vX_[1210];
+ jac[1221] = (vX_[1078] - vX_[92] * jac[1206] - vX_[128] * vX_[912] - vX_[87] * vX_[1113] - vX_[113] * vX_[81] - vX_[105] * (vX_[99] * jac[1208] + vX_[97] * jac[1207] + vX_[136] * jac[1206] + vX_[96] * jac[1211] + vX_[26] * jac[1210] + vX_[654]) - vX_[90] * vX_[1210]) / vX_[92];
+ vX_[1078] = jac[1206] + jac[1221];
+ vX_[654] = vX_[746] * vX_[81] + vX_[835] * vX_[1210] + vX_[789] * vX_[912];
+ vX_[1210] = vX_[613] * vX_[81] + vX_[13] * vX_[1210] + vX_[67] * vX_[912];
+ jac[1222] = (vX_[1060] - vX_[42] * vX_[912] - vX_[49] * (vX_[65] * vX_[1078] + vX_[46] * vX_[1113] + vX_[1029]) - vX_[30] * (vX_[46] * vX_[1078] + vX_[13] * vX_[1113] + vX_[1028]) - vX_[40] * vX_[654] - vX_[53] * vX_[1210]) / vX_[42];
+ vX_[912] = vX_[912] + jac[1222];
+ jac[1223] = (vX_[999] - 0.1104774 * (vX_[15] * vX_[654] + vX_[791] * vX_[1210] + vX_[766] * vX_[912]) - 0.0004405 * (vX_[23] * vX_[654] + vX_[15] * vX_[1210] + vX_[25] * vX_[912]) - 0.026181 * vX_[912]) / 0.026181;
+ vX_[912] = vX_[855] * vX_[25] + vX_[960];
+ vX_[1210] = -1000. * (vX_[627] * vX_[638] + vX_[662] * vX_[673] + vX_[689] * vX_[695]) * vX_[739];
+ vX_[654] = -1000. * (vX_[661] * vX_[638] + vX_[626] * vX_[673] + vX_[760] * vX_[695]) * vX_[739];
+ vX_[695] = -1000. * (vX_[688] * vX_[638] + vX_[759] * vX_[673] + vX_[659] * vX_[695]) * vX_[739];
+ vX_[673] = vX_[609] * vX_[1210] + vX_[757] * vX_[654] + vX_[762] * vX_[695];
+ vX_[638] = vX_[768] * vX_[1210] + vX_[706] * vX_[654] + vX_[755] * vX_[695];
+ vX_[999] = vX_[587] * vX_[673] - vX_[765] * vX_[638];
+ vX_[695] = vX_[618] * vX_[1210] + vX_[608] * vX_[654] + vX_[767] * vX_[695];
+ vX_[654] = vX_[771] * vX_[638] - vX_[587] * vX_[695];
+ vX_[1210] = 0 - (vX_[855] * vX_[766] + vX_[857]);
+ vX_[1078] = 0.1104774 * vX_[912] - vX_[96] * vX_[999] - vX_[26] * vX_[654] - vX_[610] * vX_[695] - vX_[742] * vX_[673] - vX_[749] * vX_[638] - -0.0004405 * vX_[1210];
+ vX_[1113] = 0 - vX_[1078];
+ vX_[1028] = (- vX_[25]) * x_in[35];
+ vX_[1029] = vX_[766] * x_in[35];
+ vX_[1060] = vX_[855] + vX_[855];
+ vX_[81] = -0.881 * (0 - vX_[912]) + 8.81e-05 * vX_[1211] + 0.414812462825713 * vX_[1028] + -0.00185880198235362 * vX_[1029] + (0.1104774 * vX_[1113]) / 0.026181 - vX_[772] * vX_[695] - vX_[777] * vX_[673] - vX_[778] * vX_[638] - -0.0004405 * vX_[1060];
+ vX_[1060] = 0.881 * vX_[1210] + 8.81e-05 * vX_[621] + -0.00185880198235362 * vX_[1028] + 0.880992588508842 * vX_[1029] + (0.0004405 * vX_[1113]) / 0.026181 - vX_[781] * vX_[695] - vX_[783] * vX_[673] - vX_[786] * vX_[638] - 0.1104774 * vX_[1060];
+ vX_[909] = 0 - vX_[859];
+ vX_[1078] = 0.47422804 * vX_[976] + 2.1e-05 * vX_[1199] + (0.026181 * vX_[1113]) / 0.026181 + vX_[1078] + vX_[766] * vX_[81] + vX_[25] * vX_[1060] - 0.0825825 * vX_[909] - -0.000102 * vX_[1661];
+ vX_[1033] = 0 - vX_[1078];
+ vX_[625] = vX_[625] + vX_[625];
+ vX_[976] = -3.146 * (0 - vX_[976]) + vX_[15] * vX_[81] + vX_[23] * vX_[1060] + vX_[50] * vX_[963] + vX_[44] * vX_[1661] + vX_[76] * vX_[975] + vX_[78] * vX_[859] + (vX_[40] * vX_[1033]) / vX_[42] - 0.0825825 * vX_[625];
+ vX_[909] = 3.146 * vX_[909] + vX_[791] * vX_[81] + vX_[15] * vX_[1060] + vX_[56] * vX_[963] + vX_[55] * vX_[1661] + vX_[78] * vX_[975] + vX_[77] * vX_[859] + (vX_[53] * vX_[1033]) / vX_[42] - 0.47422804 * vX_[625];
+ vX_[1060] = vX_[765] * vX_[695] - vX_[771] * vX_[673];
+ vX_[81] = vX_[621] * vX_[766] - vX_[1211] * vX_[25];
+ vX_[1210] = 8.81e-05 * vX_[1210] + 8.81e-05 * vX_[1029] - vX_[772] * vX_[999] - vX_[776] * vX_[654] - vX_[778] * vX_[1060] - vX_[800] * vX_[695] - vX_[807] * vX_[673] - vX_[812] * vX_[638] - 0.1104774 * vX_[81] - 0.025713 * vX_[621];
+ vX_[1060] = -0.0004405 * vX_[81] + 8.81e-05 * (0 - vX_[912]) + -0.000227999999999999 * vX_[1211] + -8.81e-05 * vX_[1028] - vX_[780] * vX_[999] - vX_[783] * vX_[654] - vX_[785] * vX_[1060] - vX_[821] * vX_[695] - vX_[828] * vX_[673] - vX_[833] * vX_[638];
+ vX_[81] = 0.881 * vX_[81] + 0.1104774 * vX_[621] + -0.0004405 * vX_[1211] - vX_[96] * vX_[695] - vX_[26] * vX_[673];
+ vX_[72] = -0.007418 * vX_[1661] + -0.000102 * vX_[625] + vX_[15] * vX_[1210] + vX_[23] * vX_[1060] + -0.35 * vX_[81] + vX_[72] * vX_[963] + vX_[64] * vX_[1661] + vX_[50] * vX_[975] + vX_[56] * vX_[859] + (vX_[49] * vX_[1033]) / vX_[42] - 0.084376 * vX_[1199];
+ vX_[1060] = 0.002735 * vX_[1661] + vX_[20] * vX_[1210] + vX_[15] * vX_[1060] + vX_[64] * vX_[963] + vX_[71] * vX_[1661] + vX_[44] * vX_[975] + vX_[55] * vX_[859] + (vX_[30] * vX_[1033]) / vX_[42] - -0.007418 * vX_[1199] - 2.1e-05 * vX_[625];
+ vX_[81] = 0.47422804 * vX_[1199] + 0.0825825 * vX_[1661] + vX_[81] + vX_[39] * vX_[963] + vX_[52] * vX_[1661];
+ vX_[1199] = vX_[65] * vX_[72] + vX_[46] * vX_[1060] + 0.08 * vX_[81];
+ vX_[39] = 0 - vX_[1199];
+ vX_[1078] = (vX_[42] * vX_[1033]) / vX_[42] + vX_[1078] + vX_[789] * vX_[976] + vX_[67] * vX_[909] + (vX_[128] * vX_[39]) / vX_[92];
+ vX_[1060] = vX_[46] * vX_[72] + vX_[13] * vX_[1060] + (vX_[87] * vX_[39]) / vX_[92];
+ vX_[72] = vX_[746] * vX_[976] + vX_[613] * vX_[909] + (vX_[113] * vX_[39]) / vX_[92];
+ vX_[81] = vX_[81] + (vX_[105] * vX_[39]) / vX_[92];
+ vX_[909] = vX_[835] * vX_[976] + vX_[13] * vX_[909] + (vX_[90] * vX_[39]) / vX_[92];
+ vX_[1199] = ((vX_[92] * vX_[39]) / vX_[92] + vX_[1199] + vX_[136] * vX_[81] + vX_[95] * vX_[909]) / vX_[583];
+ vX_[976] = (vX_[26] * vX_[1078] + vX_[96] * vX_[1060] + vX_[97] * vX_[81] + vX_[1569] * vX_[909] - vX_[1566] * vX_[1199]) / vX_[580];
+ vX_[1060] = (vX_[96] * vX_[1078] + vX_[98] * vX_[1060] + 0.207 * vX_[72] + vX_[99] * vX_[81] + vX_[834] * vX_[909] - vX_[1568] * vX_[976] - vX_[490] * vX_[1199]) / vX_[582];
+ vX_[72] = (vX_[72] - vX_[1610] * vX_[976] - vX_[1630] * vX_[1199] - vX_[1627] * vX_[1060]) / vX_[1657];
+ vX_[1078] = (vX_[26] * vX_[81] + vX_[96] * vX_[909] - vX_[1587] * vX_[976] - vX_[1611] * vX_[1199] - vX_[1575] * vX_[1060] - vX_[1629] * vX_[72]) / vX_[1654];
+ vX_[909] = (vX_[96] * vX_[81] + vX_[1667] * vX_[909] - vX_[748] * vX_[976] - vX_[1626] * vX_[1199] - vX_[484] * vX_[1060] - vX_[1664] * vX_[72] - vX_[1584] * vX_[1078]) / vX_[1656];
+ jac[1247] = - vX_[909];
+ vX_[1078] = vX_[1078] - vX_[1666] * vX_[909];
+ jac[1246] = - vX_[1078];
+ vX_[72] = vX_[72] - vX_[1665] * vX_[909] - vX_[1599] * vX_[1078];
+ jac[1245] = - vX_[72];
+ vX_[1060] = vX_[1060] - vX_[1614] * vX_[1078] - vX_[1628] * vX_[72] - vX_[1660] * vX_[909];
+ jac[1244] = - vX_[1060];
+ vX_[976] = vX_[976] - vX_[1619] * vX_[72] - vX_[1565] * vX_[1060] - vX_[1613] * vX_[1078] - vX_[1659] * vX_[909];
+ jac[1242] = vX_[584] * vX_[1060] + vX_[1567] * vX_[976] + vX_[1593] * vX_[72] + vX_[1612] * vX_[1078] + vX_[1658] * vX_[909] - vX_[1199];
+ jac[1243] = - vX_[976];
+ vX_[976] = -1 * jac[1242];
+ vX_[1060] = vX_[450] * jac[1244] + vX_[370] * jac[1243];
+ vX_[72] = vX_[370] * jac[1244] + vX_[451] * jac[1243];
+ vX_[1078] = -1 * jac[1245];
+ vX_[909] = 0.207 * jac[1244] + vX_[1078];
+ vX_[1199] = vX_[1481] * jac[1244] + vX_[1572] * jac[1243] + vX_[448] * jac[1242] + vX_[1670] * jac[1247] + vX_[1618] * jac[1246];
+ jac[1248] = (0 - vX_[445] * vX_[976] - vX_[482] * vX_[1060] - vX_[440] * vX_[72] - vX_[467] * vX_[909] - vX_[459] * (vX_[453] * jac[1244] + vX_[452] * jac[1243] + vX_[1573] * jac[1242] + vX_[450] * jac[1247] + vX_[1617] * jac[1246]) - vX_[443] * vX_[1199]) / vX_[445];
+ vX_[81] = -1 * vX_[1060];
+ vX_[52] = vX_[976] + jac[1248];
+ vX_[1210] = vX_[371] * vX_[909] + vX_[1562] * vX_[1199] + vX_[1275] * vX_[1060];
+ vX_[1199] = vX_[398] * vX_[909] + vX_[371] * vX_[1199] + vX_[419] * vX_[1060];
+ jac[1249] = (0 - vX_[395] * vX_[81] - vX_[402] * (vX_[371] * vX_[52] + vX_[399] * vX_[72]) - vX_[383] * (vX_[398] * vX_[52] + vX_[371] * vX_[72]) - vX_[393] * vX_[1210] - vX_[406] * vX_[1199]) / vX_[395];
+ vX_[81] = vX_[81] + jac[1249];
+ jac[1250] = (0 - 0.1104774 * (vX_[372] * vX_[1210] + vX_[1520] * vX_[1199] + vX_[1517] * vX_[81]) - -0.0004405 * (vX_[374] * vX_[1210] + vX_[372] * vX_[1199] + vX_[377] * vX_[81]) - 0.026181 * vX_[81]) / 0.026181;
+ vX_[81] = vX_[328] * jac[1244] + vX_[249] * jac[1243];
+ vX_[1199] = vX_[330] * jac[1244] + vX_[328] * jac[1243];
+ vX_[1210] = 0.207 * jac[1244] + jac[1245];
+ vX_[52] = vX_[1318] * jac[1244] + vX_[1571] * jac[1243] + vX_[327] * jac[1242] + vX_[1669] * jac[1247] + vX_[328] * jac[1246];
+ jac[1251] = (0 - vX_[324] * jac[1242] - vX_[360] * vX_[81] - vX_[319] * vX_[1199] - vX_[345] * vX_[1210] - vX_[337] * (vX_[331] * jac[1244] + vX_[329] * jac[1243] + vX_[368] * jac[1242] + vX_[328] * jac[1247] + vX_[249] * jac[1246]) - vX_[322] * vX_[52]) / vX_[324];
+ vX_[72] = jac[1242] + jac[1251];
+ vX_[909] = vX_[1229] * vX_[1210] + vX_[1319] * vX_[52] + vX_[1274] * vX_[81];
+ vX_[52] = vX_[698] * vX_[1210] + vX_[250] * vX_[52] + vX_[299] * vX_[81];
+ jac[1252] = (0 - vX_[274] * vX_[81] - vX_[281] * (vX_[297] * vX_[72] + vX_[278] * vX_[1199]) - vX_[262] * (vX_[278] * vX_[72] + vX_[250] * vX_[1199]) - vX_[272] * vX_[909] - vX_[285] * vX_[52]) / vX_[274];
+ vX_[81] = vX_[81] + jac[1252];
+ jac[1253] = (0 - 0.1104774 * (vX_[251] * vX_[909] + vX_[1276] * vX_[52] + vX_[1252] * vX_[81]) - -0.0004405 * (vX_[253] * vX_[909] + vX_[251] * vX_[52] + vX_[256] * vX_[81]) - 0.026181 * vX_[81]) / 0.026181;
+ vX_[81] = vX_[208] * jac[1244] + vX_[138] * jac[1243];
+ vX_[52] = vX_[138] * jac[1244] + vX_[209] * jac[1243];
+ vX_[1078] = 0.207 * jac[1244] + vX_[1078];
+ vX_[909] = vX_[998] * jac[1244] + vX_[1570] * jac[1243] + vX_[206] * jac[1242] + vX_[1668] * jac[1247] + vX_[1616] * jac[1246];
+ jac[1254] = (0 - vX_[203] * vX_[976] - vX_[240] * vX_[81] - vX_[198] * vX_[52] - vX_[225] * vX_[1078] - vX_[217] * (vX_[211] * jac[1244] + vX_[210] * jac[1243] + vX_[248] * jac[1242] + vX_[208] * jac[1247] + vX_[1615] * jac[1246]) - vX_[201] * vX_[909]) / vX_[203];
+ vX_[72] = -1 * vX_[81];
+ vX_[976] = vX_[976] + jac[1254];
+ vX_[1199] = vX_[139] * vX_[1078] + vX_[1079] * vX_[909] + vX_[790] * vX_[81];
+ vX_[909] = vX_[159] * vX_[1078] + vX_[139] * vX_[909] + vX_[177] * vX_[81];
+ jac[1255] = (0 - vX_[156] * vX_[72] - 2.1e-05 * (vX_[139] * vX_[976] + vX_[160] * vX_[52]) - -0.000102 * (vX_[159] * vX_[976] + vX_[139] * vX_[52]) - vX_[154] * vX_[1199] - vX_[164] * vX_[909]) / vX_[156];
+ vX_[72] = vX_[72] + jac[1255];
+ jac[1256] = (0 - 0.110125 * (vX_[142] * vX_[1199] + vX_[1037] * vX_[909] + vX_[1034] * vX_[72]) - 0.000881 * (vX_[140] * vX_[1199] + vX_[142] * vX_[909] + vX_[141] * vX_[72]) - 0.026181 * vX_[72]) / 0.026181;
+ vX_[72] = vX_[96] * jac[1244] + vX_[26] * jac[1243];
+ vX_[909] = vX_[98] * jac[1244] + vX_[96] * jac[1243];
+ vX_[1199] = 0.207 * jac[1244] + jac[1245];
+ vX_[976] = vX_[834] * jac[1244] + vX_[1569] * jac[1243] + vX_[95] * jac[1242] + vX_[1667] * jac[1247] + vX_[96] * jac[1246];
+ jac[1257] = (vX_[39] - vX_[92] * jac[1242] - vX_[128] * vX_[72] - vX_[87] * vX_[909] - vX_[113] * vX_[1199] - vX_[105] * (vX_[99] * jac[1244] + vX_[97] * jac[1243] + vX_[136] * jac[1242] + vX_[96] * jac[1247] + vX_[26] * jac[1246]) - vX_[90] * vX_[976]) / vX_[92];
+ vX_[39] = jac[1242] + jac[1257];
+ vX_[975] = vX_[746] * vX_[1199] + vX_[835] * vX_[976] + vX_[789] * vX_[72] + vX_[975];
+ vX_[976] = vX_[613] * vX_[1199] + vX_[13] * vX_[976] + vX_[67] * vX_[72] + vX_[859];
+ jac[1258] = (vX_[1033] - vX_[42] * vX_[72] - vX_[49] * (vX_[65] * vX_[39] + vX_[46] * vX_[909] + vX_[963]) - vX_[30] * (vX_[46] * vX_[39] + vX_[13] * vX_[909] + vX_[1661]) - vX_[40] * vX_[975] - vX_[53] * vX_[976]) / vX_[42];
+ vX_[72] = vX_[72] + jac[1258];
+ jac[1259] = (vX_[1113] - 0.1104774 * (vX_[15] * vX_[975] + vX_[791] * vX_[976] + vX_[766] * vX_[72] + vX_[1028]) - 0.0004405 * (vX_[23] * vX_[975] + vX_[15] * vX_[976] + vX_[25] * vX_[72] + vX_[1029]) - 0.026181 * vX_[72]) / 0.026181;
+ vX_[689] = -1000. * (vX_[627] * vX_[633] + vX_[662] * vX_[667] + vX_[689] * vX_[692]) * vX_[739];
+ vX_[760] = -1000. * (vX_[661] * vX_[633] + vX_[626] * vX_[667] + vX_[760] * vX_[692]) * vX_[739];
+ vX_[659] = -1000. * (vX_[688] * vX_[633] + vX_[759] * vX_[667] + vX_[659] * vX_[692]) * vX_[739];
+ vX_[762] = vX_[609] * vX_[689] + vX_[757] * vX_[760] + vX_[762] * vX_[659];
+ vX_[755] = vX_[768] * vX_[689] + vX_[706] * vX_[760] + vX_[755] * vX_[659];
+ vX_[706] = vX_[587] * vX_[762] - vX_[765] * vX_[755];
+ vX_[659] = vX_[618] * vX_[689] + vX_[608] * vX_[760] + vX_[767] * vX_[659];
+ vX_[587] = vX_[771] * vX_[755] - vX_[587] * vX_[659];
+ vX_[760] = 0 - vX_[857];
+ vX_[749] = 0.1104774 * vX_[960] - vX_[96] * vX_[706] - vX_[26] * vX_[587] - vX_[610] * vX_[659] - vX_[742] * vX_[762] - vX_[749] * vX_[755] - -0.0004405 * vX_[760];
+ vX_[742] = 0 - vX_[749];
+ vX_[855] = vX_[855] + vX_[855];
+ vX_[777] = -0.881 * (0 - vX_[960]) + 8.81e-05 * vX_[1211] + 0.414812462825713 * vX_[874] + -0.00185880198235362 * vX_[857] + -8.81e-05 * vX_[1211] + (0.1104774 * vX_[742]) / 0.026181 - vX_[772] * vX_[659] - vX_[777] * vX_[762] - vX_[778] * vX_[755] - -0.0004405 * vX_[855];
+ vX_[855] = 0.881 * vX_[760] + 8.81e-05 * vX_[621] + -0.00185880198235362 * vX_[874] + 0.880992588508842 * vX_[857] + 8.81e-05 * vX_[949] + (0.0004405 * vX_[742]) / 0.026181 - vX_[781] * vX_[659] - vX_[783] * vX_[762] - vX_[786] * vX_[755] - 0.1104774 * vX_[855];
+ vX_[749] = (0.026181 * vX_[742]) / 0.026181 + vX_[749] + vX_[766] * vX_[777] + vX_[25] * vX_[855];
+ vX_[786] = 0 - vX_[749];
+ vX_[781] = vX_[15] * vX_[777] + vX_[23] * vX_[855] + (vX_[40] * vX_[786]) / vX_[42];
+ vX_[855] = vX_[791] * vX_[777] + vX_[15] * vX_[855] + (vX_[53] * vX_[786]) / vX_[42];
+ vX_[771] = vX_[765] * vX_[659] - vX_[771] * vX_[762];
+ vX_[760] = 8.81e-05 * vX_[760] + 8.81e-05 * vX_[857] + 0.026409 * vX_[949] - vX_[772] * vX_[706] - vX_[776] * vX_[587] - vX_[778] * vX_[771] - vX_[800] * vX_[659] - vX_[807] * vX_[762] - vX_[812] * vX_[755] - 0.025713 * vX_[621];
+ vX_[771] = 8.81e-05 * (0 - vX_[960]) + -0.000227999999999999 * vX_[1211] + -8.81e-05 * vX_[874] + 0.000468 * vX_[1211] - vX_[780] * vX_[706] - vX_[783] * vX_[587] - vX_[785] * vX_[771] - vX_[821] * vX_[659] - vX_[828] * vX_[762] - vX_[833] * vX_[755];
+ vX_[659] = 0.1104774 * vX_[621] + -0.0004405 * vX_[1211] + -0.1104774 * vX_[949] + -0.0004405 * vX_[1211] - vX_[96] * vX_[659] - vX_[26] * vX_[762];
+ vX_[762] = vX_[15] * vX_[760] + vX_[23] * vX_[771] + -0.35 * vX_[659] + (vX_[49] * vX_[786]) / vX_[42];
+ vX_[771] = vX_[20] * vX_[760] + vX_[15] * vX_[771] + (vX_[30] * vX_[786]) / vX_[42];
+ vX_[760] = vX_[65] * vX_[762] + vX_[46] * vX_[771] + 0.08 * vX_[659];
+ vX_[20] = 0 - vX_[760];
+ vX_[749] = (vX_[42] * vX_[786]) / vX_[42] + vX_[749] + vX_[789] * vX_[781] + vX_[67] * vX_[855] + (vX_[128] * vX_[20]) / vX_[92];
+ vX_[771] = vX_[46] * vX_[762] + vX_[13] * vX_[771] + (vX_[87] * vX_[20]) / vX_[92];
+ vX_[762] = vX_[746] * vX_[781] + vX_[613] * vX_[855] + (vX_[113] * vX_[20]) / vX_[92];
+ vX_[659] = vX_[659] + (vX_[105] * vX_[20]) / vX_[92];
+ vX_[855] = vX_[835] * vX_[781] + vX_[13] * vX_[855] + (vX_[90] * vX_[20]) / vX_[92];
+ vX_[760] = ((vX_[92] * vX_[20]) / vX_[92] + vX_[760] + vX_[136] * vX_[659] + vX_[95] * vX_[855]) / vX_[583];
+ vX_[580] = (vX_[26] * vX_[749] + vX_[96] * vX_[771] + vX_[97] * vX_[659] + vX_[1569] * vX_[855] - vX_[1566] * vX_[760]) / vX_[580];
+ vX_[771] = (vX_[96] * vX_[749] + vX_[98] * vX_[771] + 0.207 * vX_[762] + vX_[99] * vX_[659] + vX_[834] * vX_[855] - vX_[1568] * vX_[580] - vX_[490] * vX_[760]) / vX_[582];
+ vX_[762] = (vX_[762] - vX_[1610] * vX_[580] - vX_[1630] * vX_[760] - vX_[1627] * vX_[771]) / vX_[1657];
+ vX_[1654] = (vX_[26] * vX_[659] + vX_[96] * vX_[855] - vX_[1587] * vX_[580] - vX_[1611] * vX_[760] - vX_[1575] * vX_[771] - vX_[1629] * vX_[762]) / vX_[1654];
+ vX_[855] = (vX_[96] * vX_[659] + vX_[1667] * vX_[855] - vX_[748] * vX_[580] - vX_[1626] * vX_[760] - vX_[484] * vX_[771] - vX_[1664] * vX_[762] - vX_[1584] * vX_[1654]) / vX_[1656];
+ jac[1283] = - vX_[855];
+ vX_[1654] = vX_[1654] - vX_[1666] * vX_[855];
+ jac[1282] = - vX_[1654];
+ vX_[762] = vX_[762] - vX_[1665] * vX_[855] - vX_[1599] * vX_[1654];
+ jac[1281] = - vX_[762];
+ vX_[771] = vX_[771] - vX_[1614] * vX_[1654] - vX_[1628] * vX_[762] - vX_[1660] * vX_[855];
+ jac[1280] = - vX_[771];
+ vX_[580] = vX_[580] - vX_[1619] * vX_[762] - vX_[1565] * vX_[771] - vX_[1613] * vX_[1654] - vX_[1659] * vX_[855];
+ jac[1278] = vX_[584] * vX_[771] + vX_[1567] * vX_[580] + vX_[1593] * vX_[762] + vX_[1612] * vX_[1654] + vX_[1658] * vX_[855] - vX_[760];
+ jac[1279] = - vX_[580];
+ vX_[580] = -1 * jac[1278];
+ vX_[771] = vX_[450] * jac[1280] + vX_[370] * jac[1279];
+ vX_[451] = vX_[370] * jac[1280] + vX_[451] * jac[1279];
+ vX_[370] = -1 * jac[1281];
+ vX_[762] = 0.207 * jac[1280] + vX_[370];
+ vX_[1670] = vX_[1481] * jac[1280] + vX_[1572] * jac[1279] + vX_[448] * jac[1278] + vX_[1670] * jac[1283] + vX_[1618] * jac[1282];
+ jac[1284] = (0 - vX_[445] * vX_[580] - vX_[482] * vX_[771] - vX_[440] * vX_[451] - vX_[467] * vX_[762] - vX_[459] * (vX_[453] * jac[1280] + vX_[452] * jac[1279] + vX_[1573] * jac[1278] + vX_[450] * jac[1283] + vX_[1617] * jac[1282]) - vX_[443] * vX_[1670]) / vX_[445];
+ vX_[1617] = -1 * vX_[771];
+ vX_[1573] = vX_[580] + jac[1284];
+ vX_[1562] = vX_[371] * vX_[762] + vX_[1562] * vX_[1670] + vX_[1275] * vX_[771];
+ vX_[1670] = vX_[398] * vX_[762] + vX_[371] * vX_[1670] + vX_[419] * vX_[771];
+ jac[1285] = (0 - vX_[395] * vX_[1617] - vX_[402] * (vX_[371] * vX_[1573] + vX_[399] * vX_[451]) - vX_[383] * (vX_[398] * vX_[1573] + vX_[371] * vX_[451]) - vX_[393] * vX_[1562] - vX_[406] * vX_[1670]) / vX_[395];
+ vX_[1617] = vX_[1617] + jac[1285];
+ jac[1286] = (0 - 0.1104774 * (vX_[372] * vX_[1562] + vX_[1520] * vX_[1670] + vX_[1517] * vX_[1617]) - -0.0004405 * (vX_[374] * vX_[1562] + vX_[372] * vX_[1670] + vX_[377] * vX_[1617]) - 0.026181 * vX_[1617]) / 0.026181;
+ vX_[1617] = vX_[328] * jac[1280] + vX_[249] * jac[1279];
+ vX_[330] = vX_[330] * jac[1280] + vX_[328] * jac[1279];
+ vX_[1670] = 0.207 * jac[1280] + jac[1281];
+ vX_[1669] = vX_[1318] * jac[1280] + vX_[1571] * jac[1279] + vX_[327] * jac[1278] + vX_[1669] * jac[1283] + vX_[328] * jac[1282];
+ jac[1287] = (0 - vX_[324] * jac[1278] - vX_[360] * vX_[1617] - vX_[319] * vX_[330] - vX_[345] * vX_[1670] - vX_[337] * (vX_[331] * jac[1280] + vX_[329] * jac[1279] + vX_[368] * jac[1278] + vX_[328] * jac[1283] + vX_[249] * jac[1282]) - vX_[322] * vX_[1669]) / vX_[324];
+ vX_[368] = jac[1278] + jac[1287];
+ vX_[1319] = vX_[1229] * vX_[1670] + vX_[1319] * vX_[1669] + vX_[1274] * vX_[1617];
+ vX_[1669] = vX_[698] * vX_[1670] + vX_[250] * vX_[1669] + vX_[299] * vX_[1617];
+ jac[1288] = (0 - vX_[274] * vX_[1617] - vX_[281] * (vX_[297] * vX_[368] + vX_[278] * vX_[330]) - vX_[262] * (vX_[278] * vX_[368] + vX_[250] * vX_[330]) - vX_[272] * vX_[1319] - vX_[285] * vX_[1669]) / vX_[274];
+ vX_[1617] = vX_[1617] + jac[1288];
+ jac[1289] = (0 - 0.1104774 * (vX_[251] * vX_[1319] + vX_[1276] * vX_[1669] + vX_[1252] * vX_[1617]) - -0.0004405 * (vX_[253] * vX_[1319] + vX_[251] * vX_[1669] + vX_[256] * vX_[1617]) - 0.026181 * vX_[1617]) / 0.026181;
+ vX_[1617] = vX_[208] * jac[1280] + vX_[138] * jac[1279];
+ vX_[209] = vX_[138] * jac[1280] + vX_[209] * jac[1279];
+ vX_[370] = 0.207 * jac[1280] + vX_[370];
+ vX_[1668] = vX_[998] * jac[1280] + vX_[1570] * jac[1279] + vX_[206] * jac[1278] + vX_[1668] * jac[1283] + vX_[1616] * jac[1282];
+ jac[1290] = (0 - vX_[203] * vX_[580] - vX_[240] * vX_[1617] - vX_[198] * vX_[209] - vX_[225] * vX_[370] - vX_[217] * (vX_[211] * jac[1280] + vX_[210] * jac[1279] + vX_[248] * jac[1278] + vX_[208] * jac[1283] + vX_[1615] * jac[1282]) - vX_[201] * vX_[1668]) / vX_[203];
+ vX_[1615] = -1 * vX_[1617];
+ vX_[580] = vX_[580] + jac[1290];
+ vX_[1079] = vX_[139] * vX_[370] + vX_[1079] * vX_[1668] + vX_[790] * vX_[1617];
+ vX_[1668] = vX_[159] * vX_[370] + vX_[139] * vX_[1668] + vX_[177] * vX_[1617];
+ jac[1291] = (0 - vX_[156] * vX_[1615] - 2.1e-05 * (vX_[139] * vX_[580] + vX_[160] * vX_[209]) - -0.000102 * (vX_[159] * vX_[580] + vX_[139] * vX_[209]) - vX_[154] * vX_[1079] - vX_[164] * vX_[1668]) / vX_[156];
+ vX_[1615] = vX_[1615] + jac[1291];
+ jac[1292] = (0 - 0.110125 * (vX_[142] * vX_[1079] + vX_[1037] * vX_[1668] + vX_[1034] * vX_[1615]) - 0.000881 * (vX_[140] * vX_[1079] + vX_[142] * vX_[1668] + vX_[141] * vX_[1615]) - 0.026181 * vX_[1615]) / 0.026181;
+ vX_[1615] = vX_[96] * jac[1280] + vX_[26] * jac[1279];
+ vX_[98] = vX_[98] * jac[1280] + vX_[96] * jac[1279];
+ vX_[1668] = 0.207 * jac[1280] + jac[1281];
+ vX_[1667] = vX_[834] * jac[1280] + vX_[1569] * jac[1279] + vX_[95] * jac[1278] + vX_[1667] * jac[1283] + vX_[96] * jac[1282];
+ jac[1293] = (vX_[20] - vX_[92] * jac[1278] - vX_[128] * vX_[1615] - vX_[87] * vX_[98] - vX_[113] * vX_[1668] - vX_[105] * (vX_[99] * jac[1280] + vX_[97] * jac[1279] + vX_[136] * jac[1278] + vX_[96] * jac[1283] + vX_[26] * jac[1282]) - vX_[90] * vX_[1667]) / vX_[92];
+ vX_[20] = jac[1278] + jac[1293];
+ vX_[835] = vX_[746] * vX_[1668] + vX_[835] * vX_[1667] + vX_[789] * vX_[1615];
+ vX_[1667] = vX_[613] * vX_[1668] + vX_[13] * vX_[1667] + vX_[67] * vX_[1615];
+ jac[1294] = (vX_[786] - vX_[42] * vX_[1615] - vX_[49] * (vX_[65] * vX_[20] + vX_[46] * vX_[98]) - vX_[30] * (vX_[46] * vX_[20] + vX_[13] * vX_[98]) - vX_[40] * vX_[835] - vX_[53] * vX_[1667]) / vX_[42];
+ vX_[1615] = vX_[1615] + jac[1294];
+ jac[1295] = (vX_[742] - 0.1104774 * (vX_[15] * vX_[835] + vX_[791] * vX_[1667] + vX_[766] * vX_[1615] + vX_[874]) - 0.0004405 * (vX_[23] * vX_[835] + vX_[15] * vX_[1667] + vX_[25] * vX_[1615] + vX_[857]) - 0.026181 * vX_[1615]) / 0.026181;
+ // dependent variables without operations
+ jac[722] = 1;
+ jac[870] = 1;
+ jac[907] = 1;
+ jac[944] = 1;
+ jac[981] = 1;
+ jac[1018] = 1;
+ jac[1055] = 1;
+ jac[1092] = 1;
+ jac[1129] = 1;
+ jac[1166] = 1;
+ jac[1203] = 1;
+ jac[1240] = 1;
+ jac[1277] = 1;
+
+
+ return dFdx_;
+}
+
+const HyQWithContactModelLinearizedForward::state_control_matrix_t& HyQWithContactModelLinearizedForward::getDerivativeControl(
+ const state_vector_t& x,
+ const control_vector_t& u,
+ const double t)
+{
+ double* jac = dFdu_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = cos(x_in[15]);
+ vU_[1] = cos(x_in[16]);
+ vU_[2] = cos(x_in[17]);
+ vU_[3] = -8.81e-05 * vU_[2];
+ vU_[4] = sin(x_in[17]);
+ vU_[5] = 0 - vU_[4];
+ vU_[6] = 8.81e-05 * vU_[5];
+ vU_[7] = 0.35 * vU_[4];
+ vU_[8] = 8.81e-05 * vU_[7];
+ vU_[9] = 2. * vU_[8];
+ vU_[10] = -0.35 * vU_[2];
+ vU_[11] = 0 - -8.81e-05 * vU_[10];
+ vU_[12] = 2. * vU_[11];
+ vU_[8] = 0 - vU_[8];
+ vU_[13] = -0.000102 + vU_[9] * vU_[5] + vU_[12] * vU_[2] - vU_[2] * vU_[11] - vU_[4] * vU_[8];
+ vU_[14] = -0.00185880198235362 * vU_[7] - 0.414812462825713 * vU_[10];
+ vU_[15] = 0.881 * vU_[10];
+ vU_[16] = -0.1104774 + vU_[15];
+ vU_[17] = vU_[14] + vU_[16];
+ vU_[18] = 0.880992588508842 * vU_[7] - -0.00185880198235362 * vU_[10];
+ vU_[19] = 0 - 0.881 * vU_[7];
+ vU_[20] = -0.0004405 + vU_[19];
+ vU_[21] = vU_[18] + vU_[20];
+ vU_[16] = 0 - vU_[16];
+ vU_[22] = vU_[2] * vU_[16] + vU_[5] * vU_[20];
+ vU_[23] = 0.47422804 + vU_[17] * vU_[2] + vU_[21] * vU_[4] + vU_[22];
+ vU_[18] = vU_[18] * vU_[7] - vU_[14] * vU_[10];
+ vU_[14] = 0.089871 + vU_[18];
+ vU_[24] = vU_[23] / vU_[14];
+ vU_[25] = vU_[3] * vU_[2] + vU_[6] * vU_[4] - vU_[13] * vU_[24];
+ vU_[26] = sin(x_in[16]);
+ vU_[27] = 0 - vU_[26];
+ vU_[28] = -8.81e-05 * vU_[4];
+ vU_[29] = 8.81e-05 * vU_[2];
+ vU_[8] = 2.1e-05 + vU_[9] * vU_[2] + vU_[12] * vU_[4] + vU_[5] * vU_[11] + vU_[2] * vU_[8];
+ vU_[12] = vU_[28] * vU_[2] + vU_[29] * vU_[4] - vU_[8] * vU_[24];
+ vU_[11] = vU_[1] * vU_[25] + vU_[27] * vU_[12];
+ vU_[16] = vU_[4] * vU_[16] + vU_[2] * vU_[20];
+ vU_[21] = -0.0825825 + vU_[17] * vU_[5] + vU_[21] * vU_[2] - vU_[16];
+ vU_[17] = vU_[21] / vU_[14];
+ vU_[6] = vU_[3] * vU_[5] + vU_[6] * vU_[2] - vU_[13] * vU_[17];
+ vU_[29] = vU_[28] * vU_[5] + vU_[29] * vU_[2] - vU_[8] * vU_[17];
+ vU_[28] = vU_[1] * vU_[6] + vU_[27] * vU_[29];
+ vU_[3] = -0.0004405 * vU_[10] + vU_[19] * vU_[10] - -0.1104774 * vU_[7];
+ vU_[15] = 0.026409 + -0.2209548 * vU_[10] + vU_[15] * vU_[10] - vU_[18];
+ vU_[10] = vU_[4] * vU_[3] + vU_[2] * vU_[15];
+ vU_[19] = 0.000468 - -0.000881 * vU_[7] - vU_[19] * vU_[7] - vU_[18];
+ vU_[3] = vU_[4] * vU_[19] + vU_[2] * vU_[3];
+ vU_[20] = vU_[8] / vU_[14];
+ vU_[16] = 0.0825825 + vU_[16];
+ vU_[9] = 0 - vU_[1];
+ vU_[30] = 0.08 * vU_[9];
+ vU_[31] = 0.08 * vU_[26];
+ vU_[32] = 0 - 4.027 * vU_[31];
+ vU_[22] = -0.47422804 - vU_[22];
+ vU_[33] = -0.007418 + vU_[10] * vU_[5] + vU_[3] * vU_[2] - vU_[13] * vU_[20] + vU_[16] * vU_[30] + vU_[32] * vU_[30] - vU_[22] * vU_[31];
+ vU_[3] = vU_[3] * vU_[4] + vU_[10] * vU_[2];
+ vU_[10] = 4.027 * vU_[30];
+ vU_[34] = -7.4114911576828e-06 * vU_[4] + -0.00185880198235362 * vU_[2];
+ vU_[35] = -0.00185880198235362 * vU_[4] + -0.466187537174287 * vU_[2];
+ vU_[36] = vU_[34] * vU_[4] + vU_[35] * vU_[2];
+ vU_[17] = 3.56080505133456 - vU_[36] - vU_[21] * vU_[17];
+ vU_[35] = vU_[35] * vU_[5] + vU_[34] * vU_[2] - vU_[21] * vU_[24];
+ vU_[34] = vU_[31] * vU_[17] - vU_[30] * vU_[35];
+ vU_[36] = 4.027 + vU_[36] - vU_[23] * vU_[24];
+ vU_[24] = vU_[31] * vU_[35] - vU_[30] * vU_[36];
+ vU_[5] = vU_[34] * vU_[31] - vU_[24] * vU_[30];
+ vU_[20] = 2. * vU_[22] * vU_[30] + 0.087136 + vU_[18] + vU_[3] - vU_[8] * vU_[20] + vU_[10] * vU_[30] - vU_[5];
+ vU_[37] = vU_[27] * vU_[33] + vU_[9] * vU_[20];
+ vU_[3] = 0.005495 + vU_[15] + vU_[19] + vU_[18] - vU_[3] - vU_[13] * vU_[13] / vU_[14] - 2. * vU_[16] * vU_[31] - vU_[32] * vU_[31] - vU_[5];
+ vU_[33] = vU_[27] * vU_[3] + vU_[9] * vU_[33];
+ vU_[19] = -0.022734 + vU_[37] * vU_[27] + vU_[33] * vU_[1];
+ vU_[15] = vU_[27] * vU_[6] + vU_[9] * vU_[29];
+ vU_[18] = vU_[27] * vU_[25] + vU_[9] * vU_[12];
+ vU_[38] = vU_[15] * vU_[1] + vU_[18] * vU_[27];
+ vU_[33] = vU_[33] * vU_[27] + vU_[37] * vU_[9];
+ vU_[37] = 0.011033 + vU_[5] + vU_[33];
+ vU_[39] = vU_[38] / vU_[37];
+ vU_[40] = vU_[11] * vU_[27] + vU_[28] * vU_[1] - vU_[19] * vU_[39];
+ vU_[41] = 0.207 * vU_[0];
+ vU_[42] = sin(x_in[15]);
+ vU_[43] = 0.3735 * vU_[42];
+ vU_[44] = 0 - vU_[0];
+ vU_[45] = -0.3735 * vU_[0];
+ vU_[46] = vU_[42] * vU_[43] + vU_[44] * vU_[45];
+ vU_[10] = vU_[10] + vU_[22];
+ vU_[22] = 0 - vU_[10];
+ vU_[32] = vU_[32] + vU_[16];
+ vU_[16] = vU_[1] * vU_[22] + vU_[27] * vU_[32];
+ vU_[47] = 0.1466472 + vU_[16];
+ vU_[48] = vU_[47] / vU_[37];
+ vU_[49] = 0 - vU_[38] * vU_[48];
+ vU_[50] = vU_[46] * vU_[49];
+ vU_[36] = vU_[36] - 4.027;
+ vU_[51] = vU_[27] * vU_[35] + vU_[9] * vU_[36];
+ vU_[17] = vU_[17] - 4.027;
+ vU_[35] = vU_[27] * vU_[17] + vU_[9] * vU_[35];
+ vU_[18] = vU_[15] * vU_[27] + vU_[18] * vU_[9];
+ vU_[15] = vU_[18] / vU_[37];
+ vU_[52] = vU_[51] * vU_[27] + vU_[35] * vU_[1] - vU_[38] * vU_[15];
+ vU_[53] = vU_[41] * vU_[52];
+ vU_[54] = vU_[50] - vU_[53];
+ vU_[22] = vU_[27] * vU_[22] + vU_[9] * vU_[32];
+ vU_[55] = -0.5824264 - vU_[22] - vU_[19] * vU_[48];
+ vU_[56] = 0.207 * vU_[42];
+ vU_[57] = 7.467 - vU_[47] * vU_[48];
+ vU_[58] = 0 - vU_[47] * vU_[15];
+ vU_[59] = vU_[46] * vU_[57] - vU_[41] * vU_[58];
+ vU_[60] = vU_[40] * vU_[41] + vU_[54] * vU_[41] - vU_[55] * vU_[56] - vU_[59] * vU_[56];
+ vU_[6] = vU_[6] * vU_[31] - vU_[25] * vU_[30];
+ vU_[30] = vU_[29] * vU_[31] - vU_[12] * vU_[30];
+ vU_[29] = 0 - vU_[30];
+ vU_[12] = -5.1e-05 + vU_[27] * vU_[6] + vU_[1] * vU_[29];
+ vU_[48] = 0 - vU_[12] * vU_[48];
+ vU_[25] = vU_[56] * vU_[58];
+ vU_[50] = vU_[25] - vU_[50];
+ vU_[10] = vU_[24] + vU_[10];
+ vU_[32] = vU_[34] + vU_[32];
+ vU_[22] = 0.5824264 + vU_[10] * vU_[27] + vU_[32] * vU_[1] + vU_[22] - vU_[12] * vU_[39];
+ vU_[35] = vU_[35] * vU_[27] + vU_[51] * vU_[9];
+ vU_[17] = 7.467 + vU_[36] + vU_[17] - vU_[35] - vU_[38] * vU_[39];
+ vU_[36] = vU_[56] * vU_[52] - vU_[46] * vU_[17];
+ vU_[39] = vU_[48] * vU_[56] + vU_[50] * vU_[56] - vU_[22] * vU_[41] - vU_[36] * vU_[41];
+ vU_[51] = 0 - vU_[0] * vU_[60] - vU_[42] * vU_[39];
+ vU_[34] = cos(x_in[12]);
+ vU_[24] = 0 - vU_[34];
+ vU_[61] = cos(x_in[13]);
+ vU_[62] = sin(x_in[14]);
+ vU_[63] = 0.35 * vU_[62];
+ vU_[64] = cos(x_in[14]);
+ vU_[65] = -0.35 * vU_[64];
+ vU_[66] = -0.00370574557885489 * vU_[63] - 0.417781802643138 * vU_[65];
+ vU_[67] = 0.881 * vU_[65];
+ vU_[68] = -0.110125 + vU_[67];
+ vU_[69] = vU_[66] + vU_[68];
+ vU_[70] = 0.880970354035369 * vU_[63] - -0.00370574557885489 * vU_[65];
+ vU_[71] = 0 - 0.881 * vU_[63];
+ vU_[72] = -0.000881 + vU_[71];
+ vU_[73] = vU_[70] + vU_[72];
+ vU_[68] = 0 - vU_[68];
+ vU_[74] = 0 - vU_[62];
+ vU_[75] = vU_[64] * vU_[68] + vU_[74] * vU_[72];
+ vU_[76] = 0.47422804 + vU_[69] * vU_[64] + vU_[73] * vU_[62] + vU_[75];
+ vU_[70] = vU_[70] * vU_[63] - vU_[66] * vU_[65];
+ vU_[66] = 0.089871 + vU_[70];
+ vU_[77] = vU_[76] / vU_[66];
+ vU_[78] = 0 - -0.000102 * vU_[77];
+ vU_[79] = sin(x_in[13]);
+ vU_[80] = 0 - vU_[79];
+ vU_[81] = 0 - 2.1e-05 * vU_[77];
+ vU_[82] = vU_[61] * vU_[78] + vU_[80] * vU_[81];
+ vU_[68] = vU_[62] * vU_[68] + vU_[64] * vU_[72];
+ vU_[73] = -0.0825825 + vU_[69] * vU_[74] + vU_[73] * vU_[64] - vU_[68];
+ vU_[69] = vU_[73] / vU_[66];
+ vU_[72] = 0 - -0.000102 * vU_[69];
+ vU_[83] = 0 - 2.1e-05 * vU_[69];
+ vU_[84] = vU_[61] * vU_[72] + vU_[80] * vU_[83];
+ vU_[85] = -0.000881 * vU_[65] + vU_[71] * vU_[65] - -0.110125 * vU_[63];
+ vU_[67] = 0.026409 + -0.22025 * vU_[65] + vU_[67] * vU_[65] - vU_[70];
+ vU_[65] = vU_[62] * vU_[85] + vU_[64] * vU_[67];
+ vU_[71] = 0.000468 - -0.001762 * vU_[63] - vU_[71] * vU_[63] - vU_[70];
+ vU_[85] = vU_[62] * vU_[71] + vU_[64] * vU_[85];
+ vU_[86] = 2.1e-05 / vU_[66];
+ vU_[68] = 0.0825825 + vU_[68];
+ vU_[87] = -0.08 * vU_[61];
+ vU_[88] = -0.08 * vU_[79];
+ vU_[89] = -1 * vU_[88];
+ vU_[90] = 0 - 4.027 * vU_[89];
+ vU_[75] = -0.47422804 - vU_[75];
+ vU_[91] = -0.007418 + vU_[65] * vU_[74] + vU_[85] * vU_[64] - -0.000102 * vU_[86] + vU_[68] * vU_[87] + vU_[90] * vU_[87] - vU_[75] * vU_[89];
+ vU_[85] = vU_[85] * vU_[62] + vU_[65] * vU_[64];
+ vU_[65] = 4.027 * vU_[87];
+ vU_[92] = -2.96459646308422e-05 * vU_[62] + -0.00370574557885489 * vU_[64];
+ vU_[93] = -0.00370574557885489 * vU_[62] + -0.463218197356862 * vU_[64];
+ vU_[94] = vU_[92] * vU_[62] + vU_[93] * vU_[64];
+ vU_[69] = 3.56375215667851 - vU_[94] - vU_[73] * vU_[69];
+ vU_[93] = vU_[93] * vU_[74] + vU_[92] * vU_[64] - vU_[73] * vU_[77];
+ vU_[92] = vU_[89] * vU_[69] - vU_[87] * vU_[93];
+ vU_[94] = 4.027 + vU_[94] - vU_[76] * vU_[77];
+ vU_[77] = vU_[89] * vU_[93] - vU_[87] * vU_[94];
+ vU_[74] = vU_[92] * vU_[89] - vU_[77] * vU_[87];
+ vU_[86] = 2. * vU_[75] * vU_[87] + 0.087136 + vU_[70] + vU_[85] - 2.1e-05 * vU_[86] + vU_[65] * vU_[87] - vU_[74];
+ vU_[95] = vU_[79] * vU_[91] + vU_[61] * vU_[86];
+ vU_[85] = 0.005495 + vU_[67] + vU_[71] + vU_[70] - vU_[85] - -0.000102 * -0.000102 / vU_[66] - 2. * vU_[68] * vU_[89] - vU_[90] * vU_[89] - vU_[74];
+ vU_[91] = vU_[79] * vU_[85] + vU_[61] * vU_[91];
+ vU_[71] = 0.022734 + vU_[95] * vU_[80] + vU_[91] * vU_[61];
+ vU_[67] = vU_[79] * vU_[72] + vU_[61] * vU_[83];
+ vU_[70] = vU_[79] * vU_[78] + vU_[61] * vU_[81];
+ vU_[96] = vU_[67] * vU_[61] + vU_[70] * vU_[80];
+ vU_[91] = vU_[91] * vU_[79] + vU_[95] * vU_[61];
+ vU_[95] = 0.011033 + vU_[74] + vU_[91];
+ vU_[97] = vU_[96] / vU_[95];
+ vU_[98] = vU_[82] * vU_[80] + vU_[84] * vU_[61] - vU_[71] * vU_[97];
+ vU_[99] = -0.207 * vU_[34];
+ vU_[100] = -1 * vU_[99];
+ vU_[101] = sin(x_in[12]);
+ vU_[102] = 0 - vU_[101];
+ vU_[103] = 0.3735 * vU_[101];
+ vU_[104] = 0.3735 * vU_[34];
+ vU_[105] = vU_[102] * vU_[103] + vU_[24] * vU_[104];
+ vU_[65] = vU_[65] + vU_[75];
+ vU_[75] = 0 - vU_[65];
+ vU_[90] = vU_[90] + vU_[68];
+ vU_[68] = vU_[61] * vU_[75] + vU_[80] * vU_[90];
+ vU_[106] = 0.1466472 + vU_[68];
+ vU_[107] = vU_[106] / vU_[95];
+ vU_[108] = 0 - vU_[96] * vU_[107];
+ vU_[109] = vU_[105] * vU_[108];
+ vU_[94] = vU_[94] - 4.027;
+ vU_[110] = vU_[79] * vU_[93] + vU_[61] * vU_[94];
+ vU_[69] = vU_[69] - 4.027;
+ vU_[93] = vU_[79] * vU_[69] + vU_[61] * vU_[93];
+ vU_[70] = vU_[67] * vU_[79] + vU_[70] * vU_[61];
+ vU_[67] = vU_[70] / vU_[95];
+ vU_[111] = vU_[110] * vU_[80] + vU_[93] * vU_[61] - vU_[96] * vU_[67];
+ vU_[112] = vU_[100] * vU_[111];
+ vU_[113] = vU_[109] - vU_[112];
+ vU_[75] = vU_[79] * vU_[75] + vU_[61] * vU_[90];
+ vU_[114] = 0.5824264 - vU_[75] - vU_[71] * vU_[107];
+ vU_[115] = 0.207 * vU_[101];
+ vU_[116] = 7.467 - vU_[106] * vU_[107];
+ vU_[117] = 0 - vU_[106] * vU_[67];
+ vU_[118] = vU_[105] * vU_[116] - vU_[100] * vU_[117];
+ vU_[119] = vU_[98] * vU_[100] + vU_[113] * vU_[100] - vU_[114] * vU_[115] - vU_[118] * vU_[115];
+ vU_[72] = vU_[72] * vU_[89] - vU_[78] * vU_[87];
+ vU_[89] = vU_[83] * vU_[89] - vU_[81] * vU_[87];
+ vU_[87] = 0 - vU_[89];
+ vU_[83] = -5.1e-05 + vU_[80] * vU_[72] + vU_[61] * vU_[87];
+ vU_[107] = 0 - vU_[83] * vU_[107];
+ vU_[81] = vU_[115] * vU_[117];
+ vU_[109] = vU_[81] - vU_[109];
+ vU_[65] = -1 * (vU_[77] + vU_[65]);
+ vU_[90] = -1 * (vU_[92] + vU_[90]);
+ vU_[75] = -0.5824264 + vU_[65] * vU_[80] + vU_[90] * vU_[61] + vU_[75] - vU_[83] * vU_[97];
+ vU_[93] = vU_[93] * vU_[79] + vU_[110] * vU_[61];
+ vU_[69] = 7.467 + vU_[94] + vU_[69] - vU_[93] - vU_[96] * vU_[97];
+ vU_[94] = vU_[115] * vU_[111] - vU_[105] * vU_[69];
+ vU_[97] = vU_[107] * vU_[115] + vU_[109] * vU_[115] - vU_[75] * vU_[100] - vU_[94] * vU_[100];
+ vU_[110] = 0 - vU_[24] * vU_[119] - vU_[102] * vU_[97];
+ vU_[92] = cos(x_in[9]);
+ vU_[77] = cos(x_in[10]);
+ vU_[78] = cos(x_in[11]);
+ vU_[120] = 8.81e-05 * vU_[78];
+ vU_[121] = sin(x_in[11]);
+ vU_[122] = 0 - vU_[121];
+ vU_[123] = -8.81e-05 * vU_[122];
+ vU_[124] = 0.35 * vU_[121];
+ vU_[125] = -8.81e-05 * vU_[124];
+ vU_[126] = 2. * vU_[125];
+ vU_[127] = -0.35 * vU_[78];
+ vU_[128] = 0 - 8.81e-05 * vU_[127];
+ vU_[129] = 2. * vU_[128];
+ vU_[125] = 0 - vU_[125];
+ vU_[130] = 0.000102 + vU_[126] * vU_[122] + vU_[129] * vU_[78] - vU_[78] * vU_[128] - vU_[121] * vU_[125];
+ vU_[131] = 0.00185880198235362 * vU_[124] - 0.414812462825713 * vU_[127];
+ vU_[132] = 0.881 * vU_[127];
+ vU_[133] = -0.1104774 + vU_[132];
+ vU_[134] = vU_[131] + vU_[133];
+ vU_[135] = 0.880992588508842 * vU_[124] - 0.00185880198235362 * vU_[127];
+ vU_[136] = 0 - 0.881 * vU_[124];
+ vU_[137] = 0.0004405 + vU_[136];
+ vU_[138] = vU_[135] + vU_[137];
+ vU_[133] = 0 - vU_[133];
+ vU_[139] = vU_[78] * vU_[133] + vU_[122] * vU_[137];
+ vU_[140] = 0.47422804 + vU_[134] * vU_[78] + vU_[138] * vU_[121] + vU_[139];
+ vU_[135] = vU_[135] * vU_[124] - vU_[131] * vU_[127];
+ vU_[131] = 0.089871 + vU_[135];
+ vU_[141] = vU_[140] / vU_[131];
+ vU_[142] = vU_[120] * vU_[78] + vU_[123] * vU_[121] - vU_[130] * vU_[141];
+ vU_[143] = sin(x_in[10]);
+ vU_[144] = 0 - vU_[143];
+ vU_[145] = 8.81e-05 * vU_[121];
+ vU_[146] = -8.81e-05 * vU_[78];
+ vU_[125] = 2.1e-05 + vU_[126] * vU_[78] + vU_[129] * vU_[121] + vU_[122] * vU_[128] + vU_[78] * vU_[125];
+ vU_[129] = vU_[145] * vU_[78] + vU_[146] * vU_[121] - vU_[125] * vU_[141];
+ vU_[128] = vU_[77] * vU_[142] + vU_[144] * vU_[129];
+ vU_[133] = vU_[121] * vU_[133] + vU_[78] * vU_[137];
+ vU_[138] = 0.0825825 + vU_[134] * vU_[122] + vU_[138] * vU_[78] - vU_[133];
+ vU_[134] = vU_[138] / vU_[131];
+ vU_[123] = vU_[120] * vU_[122] + vU_[123] * vU_[78] - vU_[130] * vU_[134];
+ vU_[146] = vU_[145] * vU_[122] + vU_[146] * vU_[78] - vU_[125] * vU_[134];
+ vU_[145] = vU_[77] * vU_[123] + vU_[144] * vU_[146];
+ vU_[120] = 0.0004405 * vU_[127] + vU_[136] * vU_[127] - -0.1104774 * vU_[124];
+ vU_[132] = 0.026409 + -0.2209548 * vU_[127] + vU_[132] * vU_[127] - vU_[135];
+ vU_[127] = vU_[121] * vU_[120] + vU_[78] * vU_[132];
+ vU_[136] = 0.000468 - 0.000881 * vU_[124] - vU_[136] * vU_[124] - vU_[135];
+ vU_[120] = vU_[121] * vU_[136] + vU_[78] * vU_[120];
+ vU_[137] = vU_[125] / vU_[131];
+ vU_[133] = -0.0825825 + vU_[133];
+ vU_[126] = 0 - vU_[77];
+ vU_[147] = 0.08 * vU_[126];
+ vU_[148] = 0.08 * vU_[143];
+ vU_[149] = 0 - 4.027 * vU_[148];
+ vU_[139] = -0.47422804 - vU_[139];
+ vU_[150] = 0.007418 + vU_[127] * vU_[122] + vU_[120] * vU_[78] - vU_[130] * vU_[137] + vU_[133] * vU_[147] + vU_[149] * vU_[147] - vU_[139] * vU_[148];
+ vU_[120] = vU_[120] * vU_[121] + vU_[127] * vU_[78];
+ vU_[127] = 4.027 * vU_[147];
+ vU_[151] = -7.4114911576828e-06 * vU_[121] + 0.00185880198235362 * vU_[78];
+ vU_[152] = 0.00185880198235362 * vU_[121] + -0.466187537174287 * vU_[78];
+ vU_[153] = vU_[151] * vU_[121] + vU_[152] * vU_[78];
+ vU_[134] = 3.56080505133456 - vU_[153] - vU_[138] * vU_[134];
+ vU_[152] = vU_[152] * vU_[122] + vU_[151] * vU_[78] - vU_[138] * vU_[141];
+ vU_[151] = vU_[148] * vU_[134] - vU_[147] * vU_[152];
+ vU_[153] = 4.027 + vU_[153] - vU_[140] * vU_[141];
+ vU_[141] = vU_[148] * vU_[152] - vU_[147] * vU_[153];
+ vU_[122] = vU_[151] * vU_[148] - vU_[141] * vU_[147];
+ vU_[137] = 2. * vU_[139] * vU_[147] + 0.087136 + vU_[135] + vU_[120] - vU_[125] * vU_[137] + vU_[127] * vU_[147] - vU_[122];
+ vU_[154] = vU_[144] * vU_[150] + vU_[126] * vU_[137];
+ vU_[120] = 0.005495 + vU_[132] + vU_[136] + vU_[135] - vU_[120] - vU_[130] * vU_[130] / vU_[131] - 2. * vU_[133] * vU_[148] - vU_[149] * vU_[148] - vU_[122];
+ vU_[150] = vU_[144] * vU_[120] + vU_[126] * vU_[150];
+ vU_[136] = 0.022734 + vU_[154] * vU_[144] + vU_[150] * vU_[77];
+ vU_[132] = vU_[144] * vU_[123] + vU_[126] * vU_[146];
+ vU_[135] = vU_[144] * vU_[142] + vU_[126] * vU_[129];
+ vU_[155] = vU_[132] * vU_[77] + vU_[135] * vU_[144];
+ vU_[150] = vU_[150] * vU_[144] + vU_[154] * vU_[126];
+ vU_[154] = 0.011033 + vU_[122] + vU_[150];
+ vU_[156] = vU_[155] / vU_[154];
+ vU_[157] = vU_[128] * vU_[144] + vU_[145] * vU_[77] - vU_[136] * vU_[156];
+ vU_[158] = 0.207 * vU_[92];
+ vU_[159] = sin(x_in[9]);
+ vU_[160] = -0.3735 * vU_[159];
+ vU_[161] = 0 - vU_[92];
+ vU_[162] = 0.3735 * vU_[92];
+ vU_[163] = vU_[159] * vU_[160] + vU_[161] * vU_[162];
+ vU_[127] = vU_[127] + vU_[139];
+ vU_[139] = 0 - vU_[127];
+ vU_[149] = vU_[149] + vU_[133];
+ vU_[133] = vU_[77] * vU_[139] + vU_[144] * vU_[149];
+ vU_[164] = 0.1466472 + vU_[133];
+ vU_[165] = vU_[164] / vU_[154];
+ vU_[166] = 0 - vU_[155] * vU_[165];
+ vU_[167] = vU_[163] * vU_[166];
+ vU_[153] = vU_[153] - 4.027;
+ vU_[168] = vU_[144] * vU_[152] + vU_[126] * vU_[153];
+ vU_[134] = vU_[134] - 4.027;
+ vU_[152] = vU_[144] * vU_[134] + vU_[126] * vU_[152];
+ vU_[135] = vU_[132] * vU_[144] + vU_[135] * vU_[126];
+ vU_[132] = vU_[135] / vU_[154];
+ vU_[169] = vU_[168] * vU_[144] + vU_[152] * vU_[77] - vU_[155] * vU_[132];
+ vU_[170] = vU_[158] * vU_[169];
+ vU_[171] = vU_[167] - vU_[170];
+ vU_[139] = vU_[144] * vU_[139] + vU_[126] * vU_[149];
+ vU_[172] = 0.5824264 - vU_[139] - vU_[136] * vU_[165];
+ vU_[173] = 0.207 * vU_[159];
+ vU_[174] = 7.467 - vU_[164] * vU_[165];
+ vU_[175] = 0 - vU_[164] * vU_[132];
+ vU_[176] = vU_[163] * vU_[174] - vU_[158] * vU_[175];
+ vU_[177] = vU_[157] * vU_[158] + vU_[171] * vU_[158] - vU_[172] * vU_[173] - vU_[176] * vU_[173];
+ vU_[123] = vU_[123] * vU_[148] - vU_[142] * vU_[147];
+ vU_[147] = vU_[146] * vU_[148] - vU_[129] * vU_[147];
+ vU_[146] = 0 - vU_[147];
+ vU_[129] = -5.1e-05 + vU_[144] * vU_[123] + vU_[77] * vU_[146];
+ vU_[165] = 0 - vU_[129] * vU_[165];
+ vU_[142] = vU_[173] * vU_[175];
+ vU_[167] = vU_[142] - vU_[167];
+ vU_[127] = vU_[141] + vU_[127];
+ vU_[149] = vU_[151] + vU_[149];
+ vU_[139] = -0.5824264 + vU_[127] * vU_[144] + vU_[149] * vU_[77] + vU_[139] - vU_[129] * vU_[156];
+ vU_[152] = vU_[152] * vU_[144] + vU_[168] * vU_[126];
+ vU_[134] = 7.467 + vU_[153] + vU_[134] - vU_[152] - vU_[155] * vU_[156];
+ vU_[153] = vU_[173] * vU_[169] - vU_[163] * vU_[134];
+ vU_[156] = vU_[165] * vU_[173] + vU_[167] * vU_[173] - vU_[139] * vU_[158] - vU_[153] * vU_[158];
+ vU_[168] = 0 - vU_[92] * vU_[177] - vU_[159] * vU_[156];
+ vU_[151] = cos(x_in[6]);
+ vU_[141] = 0 - vU_[151];
+ vU_[178] = cos(x_in[7]);
+ vU_[179] = cos(x_in[8]);
+ vU_[180] = 8.81e-05 * vU_[179];
+ vU_[181] = sin(x_in[8]);
+ vU_[182] = 0 - vU_[181];
+ vU_[183] = -8.81e-05 * vU_[182];
+ vU_[184] = 0.35 * vU_[181];
+ vU_[185] = -8.81e-05 * vU_[184];
+ vU_[186] = 2. * vU_[185];
+ vU_[187] = -0.35 * vU_[179];
+ vU_[188] = 0 - 8.81e-05 * vU_[187];
+ vU_[189] = 2. * vU_[188];
+ vU_[185] = 0 - vU_[185];
+ vU_[190] = 0.000102 + vU_[186] * vU_[182] + vU_[189] * vU_[179] - vU_[179] * vU_[188] - vU_[181] * vU_[185];
+ vU_[191] = 0.00185880198235362 * vU_[184] - 0.414812462825713 * vU_[187];
+ vU_[192] = 0.881 * vU_[187];
+ vU_[193] = -0.1104774 + vU_[192];
+ vU_[194] = vU_[191] + vU_[193];
+ vU_[195] = 0.880992588508842 * vU_[184] - 0.00185880198235362 * vU_[187];
+ vU_[196] = 0 - 0.881 * vU_[184];
+ vU_[197] = 0.0004405 + vU_[196];
+ vU_[198] = vU_[195] + vU_[197];
+ vU_[193] = 0 - vU_[193];
+ vU_[199] = vU_[179] * vU_[193] + vU_[182] * vU_[197];
+ vU_[200] = 0.47422804 + vU_[194] * vU_[179] + vU_[198] * vU_[181] + vU_[199];
+ vU_[195] = vU_[195] * vU_[184] - vU_[191] * vU_[187];
+ vU_[191] = 0.089871 + vU_[195];
+ vU_[201] = vU_[200] / vU_[191];
+ vU_[202] = vU_[180] * vU_[179] + vU_[183] * vU_[181] - vU_[190] * vU_[201];
+ vU_[203] = sin(x_in[7]);
+ vU_[204] = 0 - vU_[203];
+ vU_[205] = 8.81e-05 * vU_[181];
+ vU_[206] = -8.81e-05 * vU_[179];
+ vU_[185] = 2.1e-05 + vU_[186] * vU_[179] + vU_[189] * vU_[181] + vU_[182] * vU_[188] + vU_[179] * vU_[185];
+ vU_[189] = vU_[205] * vU_[179] + vU_[206] * vU_[181] - vU_[185] * vU_[201];
+ vU_[188] = vU_[178] * vU_[202] + vU_[204] * vU_[189];
+ vU_[193] = vU_[181] * vU_[193] + vU_[179] * vU_[197];
+ vU_[198] = 0.0825825 + vU_[194] * vU_[182] + vU_[198] * vU_[179] - vU_[193];
+ vU_[194] = vU_[198] / vU_[191];
+ vU_[183] = vU_[180] * vU_[182] + vU_[183] * vU_[179] - vU_[190] * vU_[194];
+ vU_[206] = vU_[205] * vU_[182] + vU_[206] * vU_[179] - vU_[185] * vU_[194];
+ vU_[205] = vU_[178] * vU_[183] + vU_[204] * vU_[206];
+ vU_[180] = 0.0004405 * vU_[187] + vU_[196] * vU_[187] - -0.1104774 * vU_[184];
+ vU_[192] = 0.026409 + -0.2209548 * vU_[187] + vU_[192] * vU_[187] - vU_[195];
+ vU_[187] = vU_[181] * vU_[180] + vU_[179] * vU_[192];
+ vU_[196] = 0.000468 - 0.000881 * vU_[184] - vU_[196] * vU_[184] - vU_[195];
+ vU_[180] = vU_[181] * vU_[196] + vU_[179] * vU_[180];
+ vU_[197] = vU_[185] / vU_[191];
+ vU_[193] = -0.0825825 + vU_[193];
+ vU_[186] = -0.08 * vU_[178];
+ vU_[207] = -0.08 * vU_[203];
+ vU_[208] = -1 * vU_[207];
+ vU_[209] = 0 - 4.027 * vU_[208];
+ vU_[199] = -0.47422804 - vU_[199];
+ vU_[210] = 0.007418 + vU_[187] * vU_[182] + vU_[180] * vU_[179] - vU_[190] * vU_[197] + vU_[193] * vU_[186] + vU_[209] * vU_[186] - vU_[199] * vU_[208];
+ vU_[180] = vU_[180] * vU_[181] + vU_[187] * vU_[179];
+ vU_[187] = 4.027 * vU_[186];
+ vU_[211] = -7.4114911576828e-06 * vU_[181] + 0.00185880198235362 * vU_[179];
+ vU_[212] = 0.00185880198235362 * vU_[181] + -0.466187537174287 * vU_[179];
+ vU_[213] = vU_[211] * vU_[181] + vU_[212] * vU_[179];
+ vU_[194] = 3.56080505133456 - vU_[213] - vU_[198] * vU_[194];
+ vU_[212] = vU_[212] * vU_[182] + vU_[211] * vU_[179] - vU_[198] * vU_[201];
+ vU_[211] = vU_[208] * vU_[194] - vU_[186] * vU_[212];
+ vU_[213] = 4.027 + vU_[213] - vU_[200] * vU_[201];
+ vU_[201] = vU_[208] * vU_[212] - vU_[186] * vU_[213];
+ vU_[182] = vU_[211] * vU_[208] - vU_[201] * vU_[186];
+ vU_[197] = 2. * vU_[199] * vU_[186] + 0.087136 + vU_[195] + vU_[180] - vU_[185] * vU_[197] + vU_[187] * vU_[186] - vU_[182];
+ vU_[214] = vU_[203] * vU_[210] + vU_[178] * vU_[197];
+ vU_[180] = 0.005495 + vU_[192] + vU_[196] + vU_[195] - vU_[180] - vU_[190] * vU_[190] / vU_[191] - 2. * vU_[193] * vU_[208] - vU_[209] * vU_[208] - vU_[182];
+ vU_[210] = vU_[203] * vU_[180] + vU_[178] * vU_[210];
+ vU_[196] = -0.022734 + vU_[214] * vU_[204] + vU_[210] * vU_[178];
+ vU_[192] = vU_[203] * vU_[183] + vU_[178] * vU_[206];
+ vU_[195] = vU_[203] * vU_[202] + vU_[178] * vU_[189];
+ vU_[215] = vU_[192] * vU_[178] + vU_[195] * vU_[204];
+ vU_[210] = vU_[210] * vU_[203] + vU_[214] * vU_[178];
+ vU_[214] = 0.011033 + vU_[182] + vU_[210];
+ vU_[216] = vU_[215] / vU_[214];
+ vU_[217] = vU_[188] * vU_[204] + vU_[205] * vU_[178] - vU_[196] * vU_[216];
+ vU_[218] = -0.207 * vU_[151];
+ vU_[219] = -1 * vU_[218];
+ vU_[220] = sin(x_in[6]);
+ vU_[221] = 0 - vU_[220];
+ vU_[222] = -0.3735 * vU_[220];
+ vU_[223] = -0.3735 * vU_[151];
+ vU_[224] = vU_[221] * vU_[222] + vU_[141] * vU_[223];
+ vU_[187] = vU_[187] + vU_[199];
+ vU_[199] = 0 - vU_[187];
+ vU_[209] = vU_[209] + vU_[193];
+ vU_[193] = vU_[178] * vU_[199] + vU_[204] * vU_[209];
+ vU_[225] = 0.1466472 + vU_[193];
+ vU_[226] = vU_[225] / vU_[214];
+ vU_[227] = 0 - vU_[215] * vU_[226];
+ vU_[228] = vU_[224] * vU_[227];
+ vU_[213] = vU_[213] - 4.027;
+ vU_[229] = vU_[203] * vU_[212] + vU_[178] * vU_[213];
+ vU_[194] = vU_[194] - 4.027;
+ vU_[212] = vU_[203] * vU_[194] + vU_[178] * vU_[212];
+ vU_[195] = vU_[192] * vU_[203] + vU_[195] * vU_[178];
+ vU_[192] = vU_[195] / vU_[214];
+ vU_[230] = vU_[229] * vU_[204] + vU_[212] * vU_[178] - vU_[215] * vU_[192];
+ vU_[231] = vU_[219] * vU_[230];
+ vU_[232] = vU_[228] - vU_[231];
+ vU_[199] = vU_[203] * vU_[199] + vU_[178] * vU_[209];
+ vU_[233] = -0.5824264 - vU_[199] - vU_[196] * vU_[226];
+ vU_[234] = 0.207 * vU_[220];
+ vU_[235] = 7.467 - vU_[225] * vU_[226];
+ vU_[236] = 0 - vU_[225] * vU_[192];
+ vU_[237] = vU_[224] * vU_[235] - vU_[219] * vU_[236];
+ vU_[238] = vU_[217] * vU_[219] + vU_[232] * vU_[219] - vU_[233] * vU_[234] - vU_[237] * vU_[234];
+ vU_[183] = vU_[183] * vU_[208] - vU_[202] * vU_[186];
+ vU_[208] = vU_[206] * vU_[208] - vU_[189] * vU_[186];
+ vU_[186] = 0 - vU_[208];
+ vU_[206] = -5.1e-05 + vU_[204] * vU_[183] + vU_[178] * vU_[186];
+ vU_[226] = 0 - vU_[206] * vU_[226];
+ vU_[189] = vU_[234] * vU_[236];
+ vU_[228] = vU_[189] - vU_[228];
+ vU_[187] = -1 * (vU_[201] + vU_[187]);
+ vU_[209] = -1 * (vU_[211] + vU_[209]);
+ vU_[199] = 0.5824264 + vU_[187] * vU_[204] + vU_[209] * vU_[178] + vU_[199] - vU_[206] * vU_[216];
+ vU_[212] = vU_[212] * vU_[203] + vU_[229] * vU_[178];
+ vU_[194] = 7.467 + vU_[213] + vU_[194] - vU_[212] - vU_[215] * vU_[216];
+ vU_[213] = vU_[234] * vU_[230] - vU_[224] * vU_[194];
+ vU_[216] = vU_[226] * vU_[234] + vU_[228] * vU_[234] - vU_[199] * vU_[219] - vU_[213] * vU_[219];
+ vU_[229] = 0 - vU_[141] * vU_[238] - vU_[221] * vU_[216];
+ vU_[32] = -0.1466472 + vU_[10] * vU_[9] + vU_[32] * vU_[27] - vU_[16] - vU_[12] * vU_[15];
+ vU_[10] = vU_[12] / vU_[37];
+ vU_[35] = 7.467 + vU_[35] - vU_[18] * vU_[15];
+ vU_[16] = vU_[56] * vU_[35] - vU_[46] * vU_[52];
+ vU_[211] = vU_[41] * vU_[17] - vU_[56] * vU_[49];
+ vU_[201] = vU_[41] * vU_[49] - vU_[56] * vU_[57];
+ vU_[202] = vU_[211] * vU_[41] - vU_[201] * vU_[56];
+ vU_[239] = 2. * vU_[32] * vU_[56] + 0.144171 + vU_[5] - vU_[12] * vU_[10] + vU_[16] * vU_[56] - 2. * vU_[22] * vU_[46] - vU_[36] * vU_[46] - vU_[202];
+ vU_[15] = vU_[11] * vU_[9] + vU_[28] * vU_[27] - vU_[19] * vU_[15];
+ vU_[28] = vU_[46] * vU_[58] - vU_[41] * vU_[35];
+ vU_[33] = 2. * vU_[55] * vU_[46] + 0.134705 + vU_[20] + vU_[3] + vU_[5] - vU_[33] - vU_[19] * vU_[19] / vU_[37] + vU_[59] * vU_[46] - 2. * vU_[15] * vU_[41] - vU_[28] * vU_[41] - vU_[202];
+ vU_[90] = -0.1466472 + vU_[65] * vU_[61] + vU_[90] * vU_[79] - vU_[68] - vU_[83] * vU_[67];
+ vU_[65] = vU_[83] / vU_[95];
+ vU_[93] = 7.467 + vU_[93] - vU_[70] * vU_[67];
+ vU_[68] = vU_[115] * vU_[93] - vU_[105] * vU_[111];
+ vU_[3] = vU_[100] * vU_[69] - vU_[115] * vU_[108];
+ vU_[20] = vU_[100] * vU_[108] - vU_[115] * vU_[116];
+ vU_[5] = vU_[3] * vU_[100] - vU_[20] * vU_[115];
+ vU_[11] = 2. * vU_[90] * vU_[115] + 0.144171 + vU_[74] - vU_[83] * vU_[65] + vU_[68] * vU_[115] - 2. * vU_[75] * vU_[105] - vU_[94] * vU_[105] - vU_[5];
+ vU_[67] = vU_[82] * vU_[61] + vU_[84] * vU_[79] - vU_[71] * vU_[67];
+ vU_[84] = vU_[105] * vU_[117] - vU_[100] * vU_[93];
+ vU_[91] = 2. * vU_[114] * vU_[105] + 0.134705 + vU_[86] + vU_[85] + vU_[74] - vU_[91] - vU_[71] * vU_[71] / vU_[95] + vU_[118] * vU_[105] - 2. * vU_[67] * vU_[100] - vU_[84] * vU_[100] - vU_[5];
+ vU_[149] = -0.1466472 + vU_[127] * vU_[126] + vU_[149] * vU_[144] - vU_[133] - vU_[129] * vU_[132];
+ vU_[127] = vU_[129] / vU_[154];
+ vU_[152] = 7.467 + vU_[152] - vU_[135] * vU_[132];
+ vU_[133] = vU_[173] * vU_[152] - vU_[163] * vU_[169];
+ vU_[85] = vU_[158] * vU_[134] - vU_[173] * vU_[166];
+ vU_[86] = vU_[158] * vU_[166] - vU_[173] * vU_[174];
+ vU_[74] = vU_[85] * vU_[158] - vU_[86] * vU_[173];
+ vU_[82] = 2. * vU_[149] * vU_[173] + 0.144171 + vU_[122] - vU_[129] * vU_[127] + vU_[133] * vU_[173] - 2. * vU_[139] * vU_[163] - vU_[153] * vU_[163] - vU_[74];
+ vU_[132] = vU_[128] * vU_[126] + vU_[145] * vU_[144] - vU_[136] * vU_[132];
+ vU_[145] = vU_[163] * vU_[175] - vU_[158] * vU_[152];
+ vU_[150] = 2. * vU_[172] * vU_[163] + 0.134705 + vU_[137] + vU_[120] + vU_[122] - vU_[150] - vU_[136] * vU_[136] / vU_[154] + vU_[176] * vU_[163] - 2. * vU_[132] * vU_[158] - vU_[145] * vU_[158] - vU_[74];
+ vU_[209] = -0.1466472 + vU_[187] * vU_[178] + vU_[209] * vU_[203] - vU_[193] - vU_[206] * vU_[192];
+ vU_[187] = vU_[206] / vU_[214];
+ vU_[212] = 7.467 + vU_[212] - vU_[195] * vU_[192];
+ vU_[193] = vU_[234] * vU_[212] - vU_[224] * vU_[230];
+ vU_[120] = vU_[219] * vU_[194] - vU_[234] * vU_[227];
+ vU_[137] = vU_[219] * vU_[227] - vU_[234] * vU_[235];
+ vU_[122] = vU_[120] * vU_[219] - vU_[137] * vU_[234];
+ vU_[128] = 2. * vU_[209] * vU_[234] + 0.144171 + vU_[182] - vU_[206] * vU_[187] + vU_[193] * vU_[234] - 2. * vU_[199] * vU_[224] - vU_[213] * vU_[224] - vU_[122];
+ vU_[192] = vU_[188] * vU_[178] + vU_[205] * vU_[203] - vU_[196] * vU_[192];
+ vU_[205] = vU_[224] * vU_[236] - vU_[219] * vU_[212];
+ vU_[210] = 2. * vU_[233] * vU_[224] + 0.134705 + vU_[197] + vU_[180] + vU_[182] - vU_[210] - vU_[196] * vU_[196] / vU_[214] + vU_[237] * vU_[224] - 2. * vU_[192] * vU_[219] - vU_[205] * vU_[219] - vU_[122];
+ vU_[10] = vU_[48] * vU_[46] + -3.6e-05 + 2. * vU_[30] * vU_[27] + 2. * vU_[6] * vU_[1] + vU_[9] * vU_[6] + vU_[27] * vU_[29] - vU_[19] * vU_[10] + vU_[15] * vU_[56] + vU_[28] * vU_[56] - vU_[40] * vU_[46] - vU_[32] * vU_[41] - vU_[54] * vU_[46];
+ vU_[29] = vU_[42] * vU_[10];
+ vU_[30] = (vU_[42] * vU_[33] + vU_[0] * vU_[10]) * vU_[42] + (vU_[29] + vU_[0] * vU_[239]) * vU_[0];
+ vU_[29] = vU_[44] * vU_[33] + vU_[29];
+ vU_[10] = vU_[44] * vU_[10] + vU_[42] * vU_[239];
+ vU_[6] = vU_[29] * vU_[44] + vU_[10] * vU_[42];
+ vU_[65] = vU_[107] * vU_[105] + 3.6e-05 + -1 * 2. * vU_[89] * vU_[80] + -1 * 2. * vU_[72] * vU_[61] + vU_[61] * vU_[72] + vU_[79] * vU_[87] - vU_[71] * vU_[65] + vU_[67] * vU_[115] + vU_[84] * vU_[115] - vU_[98] * vU_[105] - vU_[90] * vU_[100] - vU_[113] * vU_[105];
+ vU_[87] = vU_[24] * vU_[65];
+ vU_[89] = (vU_[102] * vU_[91] + vU_[87]) * vU_[102] + (vU_[102] * vU_[65] + vU_[24] * vU_[11]) * vU_[24];
+ vU_[65] = vU_[24] * vU_[91] + vU_[101] * vU_[65];
+ vU_[87] = vU_[87] + vU_[101] * vU_[11];
+ vU_[72] = vU_[65] * vU_[24] + vU_[87] * vU_[101];
+ vU_[127] = vU_[165] * vU_[163] + 3.6e-05 + 2. * vU_[147] * vU_[144] + 2. * vU_[123] * vU_[77] + vU_[126] * vU_[123] + vU_[144] * vU_[146] - vU_[136] * vU_[127] + vU_[132] * vU_[173] + vU_[145] * vU_[173] - vU_[157] * vU_[163] - vU_[149] * vU_[158] - vU_[171] * vU_[163];
+ vU_[146] = vU_[159] * vU_[127];
+ vU_[147] = (vU_[159] * vU_[150] + vU_[92] * vU_[127]) * vU_[159] + (vU_[146] + vU_[92] * vU_[82]) * vU_[92];
+ vU_[146] = vU_[161] * vU_[150] + vU_[146];
+ vU_[127] = vU_[161] * vU_[127] + vU_[159] * vU_[82];
+ vU_[123] = vU_[146] * vU_[161] + vU_[127] * vU_[159];
+ vU_[187] = vU_[226] * vU_[224] + -3.6e-05 + -1 * 2. * vU_[208] * vU_[204] + -1 * 2. * vU_[183] * vU_[178] + vU_[178] * vU_[183] + vU_[203] * vU_[186] - vU_[196] * vU_[187] + vU_[192] * vU_[234] + vU_[205] * vU_[234] - vU_[217] * vU_[224] - vU_[209] * vU_[219] - vU_[232] * vU_[224];
+ vU_[186] = vU_[141] * vU_[187];
+ vU_[208] = (vU_[221] * vU_[210] + vU_[186]) * vU_[221] + (vU_[221] * vU_[187] + vU_[141] * vU_[128]) * vU_[141];
+ vU_[187] = vU_[141] * vU_[210] + vU_[220] * vU_[187];
+ vU_[186] = vU_[186] + vU_[220] * vU_[128];
+ vU_[183] = vU_[187] * vU_[141] + vU_[186] * vU_[220];
+ vU_[210] = 1.209488 + vU_[239] + vU_[33] + vU_[202] + vU_[11] + vU_[91] + vU_[5] + vU_[82] + vU_[150] + vU_[74] + vU_[128] + vU_[210] + vU_[122] - vU_[30] - vU_[6] - vU_[89] - vU_[72] - vU_[147] - vU_[123] - vU_[208] - vU_[183];
+ vU_[128] = (0.190812 + vU_[51] + vU_[110] + vU_[168] + vU_[229]) / vU_[210];
+ vU_[150] = vU_[206] / vU_[214];
+ vU_[82] = vU_[196] / vU_[214];
+ vU_[91] = vU_[195] / vU_[214];
+ vU_[11] = vU_[225] / vU_[214];
+ vU_[33] = -0.3735 * vU_[220];
+ vU_[239] = vU_[215] / vU_[214];
+ vU_[10] = vU_[29] * vU_[42] + vU_[10] * vU_[0];
+ vU_[87] = vU_[65] * vU_[102] + vU_[87] * vU_[24];
+ vU_[127] = vU_[146] * vU_[159] + vU_[127] * vU_[92];
+ vU_[186] = vU_[187] * vU_[221] + vU_[186] * vU_[141];
+ vU_[229] = 0.190812 + vU_[51] + vU_[110] + vU_[168] + vU_[229];
+ vU_[39] = vU_[44] * vU_[39] + vU_[42] * vU_[60];
+ vU_[97] = vU_[24] * vU_[97] + vU_[101] * vU_[119];
+ vU_[156] = vU_[161] * vU_[156] + vU_[159] * vU_[177];
+ vU_[216] = vU_[141] * vU_[216] + vU_[220] * vU_[238];
+ vU_[238] = (-0.00571 + vU_[39] + vU_[97] + vU_[156] + vU_[216]) / vU_[210];
+ vU_[177] = 0.012668 + vU_[10] + vU_[87] + vU_[127] + vU_[186] - vU_[229] * vU_[238];
+ vU_[119] = 0.3735 * vU_[151];
+ vU_[216] = -0.00571 + vU_[39] + vU_[97] + vU_[156] + vU_[216];
+ vU_[156] = 0.207 * vU_[220];
+ vU_[97] = (vU_[156] * vU_[11] + vU_[218] * vU_[239] + -1 * vU_[214] / vU_[214]) / vU_[210];
+ vU_[208] = 5.5837 + vU_[202] + vU_[30] + vU_[5] + vU_[89] + vU_[74] + vU_[147] + vU_[122] + vU_[208] - vU_[216] * vU_[238];
+ vU_[147] = (vU_[141] * vU_[150] + vU_[221] * vU_[82] + vU_[222] * vU_[11] + vU_[119] * vU_[239] - vU_[216] * vU_[97]) / vU_[208];
+ vU_[186] = (0.012668 + vU_[10] + vU_[87] + vU_[127] + vU_[186] - vU_[216] * vU_[128]) / vU_[208];
+ vU_[183] = 6.056973 + vU_[202] + vU_[6] + vU_[5] + vU_[72] + vU_[74] + vU_[123] + vU_[122] + vU_[183] - vU_[177] * vU_[186] - vU_[229] * vU_[128];
+ vU_[82] = (vU_[220] * vU_[150] + vU_[141] * vU_[82] + 0.207 * vU_[91] + vU_[223] * vU_[11] + vU_[33] * vU_[239] - vU_[177] * vU_[147] - vU_[229] * vU_[97]) / vU_[183];
+ vU_[25] = vU_[53] - vU_[25];
+ vU_[54] = vU_[40] + vU_[54] - vU_[25];
+ vU_[36] = vU_[36] + vU_[22];
+ vU_[22] = vU_[44] * vU_[54] + vU_[42] * vU_[36];
+ vU_[59] = vU_[59] + vU_[55];
+ vU_[50] = vU_[48] + vU_[50] - vU_[25];
+ vU_[48] = vU_[44] * vU_[59] + vU_[42] * vU_[50];
+ vU_[55] = vU_[22] * vU_[42] + vU_[48] * vU_[0];
+ vU_[81] = vU_[112] - vU_[81];
+ vU_[113] = vU_[98] + vU_[113] - vU_[81];
+ vU_[94] = vU_[94] + vU_[75];
+ vU_[75] = vU_[24] * vU_[113] + vU_[101] * vU_[94];
+ vU_[118] = vU_[118] + vU_[114];
+ vU_[109] = vU_[107] + vU_[109] - vU_[81];
+ vU_[107] = vU_[24] * vU_[118] + vU_[101] * vU_[109];
+ vU_[114] = vU_[75] * vU_[102] + vU_[107] * vU_[24];
+ vU_[142] = vU_[170] - vU_[142];
+ vU_[171] = vU_[157] + vU_[171] - vU_[142];
+ vU_[153] = vU_[153] + vU_[139];
+ vU_[139] = vU_[161] * vU_[171] + vU_[159] * vU_[153];
+ vU_[176] = vU_[176] + vU_[172];
+ vU_[167] = vU_[165] + vU_[167] - vU_[142];
+ vU_[165] = vU_[161] * vU_[176] + vU_[159] * vU_[167];
+ vU_[172] = vU_[139] * vU_[159] + vU_[165] * vU_[92];
+ vU_[189] = vU_[231] - vU_[189];
+ vU_[232] = vU_[217] + vU_[232] - vU_[189];
+ vU_[213] = vU_[213] + vU_[199];
+ vU_[199] = vU_[141] * vU_[232] + vU_[220] * vU_[213];
+ vU_[237] = vU_[237] + vU_[233];
+ vU_[228] = vU_[226] + vU_[228] - vU_[189];
+ vU_[226] = vU_[141] * vU_[237] + vU_[220] * vU_[228];
+ vU_[233] = vU_[199] * vU_[221] + vU_[226] * vU_[141];
+ vU_[109] = vU_[102] * vU_[118] + vU_[24] * vU_[109];
+ vU_[94] = vU_[102] * vU_[113] + vU_[24] * vU_[94];
+ vU_[113] = vU_[109] * vU_[24] + vU_[94] * vU_[102] + vU_[81];
+ vU_[50] = vU_[42] * vU_[59] + vU_[0] * vU_[50];
+ vU_[36] = vU_[42] * vU_[54] + vU_[0] * vU_[36];
+ vU_[54] = vU_[50] * vU_[0] + vU_[36] * vU_[42] + vU_[25];
+ vU_[167] = vU_[159] * vU_[176] + vU_[92] * vU_[167];
+ vU_[153] = vU_[159] * vU_[171] + vU_[92] * vU_[153];
+ vU_[171] = vU_[167] * vU_[92] + vU_[153] * vU_[159] + vU_[142];
+ vU_[228] = vU_[221] * vU_[237] + vU_[141] * vU_[228];
+ vU_[213] = vU_[221] * vU_[232] + vU_[141] * vU_[213];
+ vU_[232] = vU_[228] * vU_[141] + vU_[213] * vU_[221] + vU_[189];
+ vU_[16] = vU_[16] + vU_[32];
+ vU_[201] = vU_[201] + vU_[16];
+ vU_[28] = vU_[28] + vU_[15];
+ vU_[211] = vU_[211] + vU_[28];
+ vU_[16] = 0 - vU_[16];
+ vU_[15] = vU_[44] * vU_[16] + vU_[42] * vU_[28];
+ vU_[32] = vU_[201] * vU_[0] + vU_[211] * vU_[42] - vU_[15];
+ vU_[68] = vU_[68] + vU_[90];
+ vU_[20] = -1 * (vU_[20] + vU_[68]);
+ vU_[84] = vU_[84] + vU_[67];
+ vU_[3] = -1 * (vU_[3] + vU_[84]);
+ vU_[68] = 0 - vU_[68];
+ vU_[67] = vU_[24] * vU_[68] + vU_[101] * vU_[84];
+ vU_[90] = vU_[20] * vU_[24] + vU_[3] * vU_[102] - vU_[67];
+ vU_[133] = vU_[133] + vU_[149];
+ vU_[86] = vU_[86] + vU_[133];
+ vU_[145] = vU_[145] + vU_[132];
+ vU_[85] = vU_[85] + vU_[145];
+ vU_[133] = 0 - vU_[133];
+ vU_[132] = vU_[161] * vU_[133] + vU_[159] * vU_[145];
+ vU_[149] = vU_[86] * vU_[92] + vU_[85] * vU_[159] - vU_[132];
+ vU_[193] = vU_[193] + vU_[209];
+ vU_[137] = -1 * (vU_[137] + vU_[193]);
+ vU_[205] = vU_[205] + vU_[192];
+ vU_[120] = -1 * (vU_[120] + vU_[205]);
+ vU_[193] = 0 - vU_[193];
+ vU_[192] = vU_[141] * vU_[193] + vU_[220] * vU_[205];
+ vU_[209] = vU_[137] * vU_[141] + vU_[120] * vU_[221] - vU_[192];
+ vU_[237] = (-2.0678571 + vU_[32] + vU_[90] + vU_[149] + vU_[209]) / vU_[210];
+ vU_[176] = (vU_[113] + vU_[54] + vU_[171] + vU_[232] - vU_[216] * vU_[237]) / vU_[208];
+ vU_[59] = (-1.1915559 + vU_[55] + vU_[114] + vU_[172] + vU_[233] - vU_[177] * vU_[176] - vU_[229] * vU_[237]) / vU_[183];
+ vU_[118] = 0 - vU_[151];
+ vU_[217] = 0 - vU_[220];
+ vU_[209] = -2.0678571 + vU_[32] + vU_[90] + vU_[149] + vU_[209];
+ vU_[232] = vU_[113] + vU_[54] + vU_[171] + vU_[232] - vU_[209] * vU_[238];
+ vU_[233] = -1.1915559 + vU_[55] + vU_[114] + vU_[172] + vU_[233] - vU_[232] * vU_[186] - vU_[209] * vU_[128];
+ vU_[117] = 0 - vU_[117];
+ vU_[172] = vU_[24] * vU_[117] + vU_[101] * vU_[111];
+ vU_[58] = 0 - vU_[58];
+ vU_[114] = vU_[44] * vU_[58] + vU_[42] * vU_[52];
+ vU_[175] = 0 - vU_[175];
+ vU_[55] = vU_[161] * vU_[175] + vU_[159] * vU_[169];
+ vU_[236] = 0 - vU_[236];
+ vU_[171] = vU_[141] * vU_[236] + vU_[220] * vU_[230];
+ vU_[54] = (vU_[81] + vU_[25] + vU_[142] + vU_[189]) / vU_[210];
+ vU_[113] = (2.0678571 + vU_[15] + vU_[67] + vU_[132] + vU_[192] - vU_[216] * vU_[54]) / vU_[208];
+ vU_[16] = vU_[42] * vU_[16] + vU_[0] * vU_[28];
+ vU_[28] = 0 - vU_[16];
+ vU_[68] = vU_[102] * vU_[68] + vU_[24] * vU_[84];
+ vU_[84] = 0 - vU_[68];
+ vU_[133] = vU_[159] * vU_[133] + vU_[92] * vU_[145];
+ vU_[145] = 0 - vU_[133];
+ vU_[193] = vU_[221] * vU_[193] + vU_[141] * vU_[205];
+ vU_[205] = -0 - vU_[193];
+ vU_[149] = (0.0053433 + vU_[28] + vU_[84] + vU_[145] + vU_[205] - vU_[177] * vU_[113] - vU_[229] * vU_[54]) / vU_[183];
+ vU_[90] = vU_[172] + vU_[114] + vU_[55] + vU_[171] - vU_[232] * vU_[113] - vU_[209] * vU_[54] - vU_[233] * vU_[149];
+ vU_[32] = vU_[81] + vU_[25] + vU_[142] + vU_[189];
+ vU_[192] = 2.0678571 + vU_[15] + vU_[67] + vU_[132] + vU_[192] - vU_[32] * vU_[238];
+ vU_[205] = 0.0053433 + vU_[28] + vU_[84] + vU_[145] + vU_[205] - vU_[192] * vU_[186] - vU_[32] * vU_[128];
+ vU_[57] = vU_[57] - vU_[35];
+ vU_[17] = vU_[17] - vU_[35];
+ vU_[116] = vU_[116] - vU_[93];
+ vU_[69] = vU_[69] - vU_[93];
+ vU_[174] = vU_[174] - vU_[152];
+ vU_[134] = vU_[134] - vU_[152];
+ vU_[235] = vU_[235] - vU_[212];
+ vU_[194] = vU_[194] - vU_[212];
+ vU_[145] = vU_[42] * vU_[49];
+ vU_[84] = (vU_[42] * vU_[17] + vU_[0] * vU_[49]) * vU_[42] + (vU_[145] + vU_[0] * vU_[57]) * vU_[0];
+ vU_[145] = vU_[44] * vU_[17] + vU_[145];
+ vU_[49] = vU_[44] * vU_[49] + vU_[42] * vU_[57];
+ vU_[28] = vU_[145] * vU_[44] + vU_[49] * vU_[42];
+ vU_[132] = vU_[24] * vU_[108];
+ vU_[67] = (vU_[102] * vU_[69] + vU_[132]) * vU_[102] + (vU_[102] * vU_[108] + vU_[24] * vU_[116]) * vU_[24];
+ vU_[108] = vU_[24] * vU_[69] + vU_[101] * vU_[108];
+ vU_[132] = vU_[132] + vU_[101] * vU_[116];
+ vU_[15] = vU_[108] * vU_[24] + vU_[132] * vU_[101];
+ vU_[231] = vU_[159] * vU_[166];
+ vU_[157] = (vU_[159] * vU_[134] + vU_[92] * vU_[166]) * vU_[159] + (vU_[231] + vU_[92] * vU_[174]) * vU_[92];
+ vU_[231] = vU_[161] * vU_[134] + vU_[231];
+ vU_[166] = vU_[161] * vU_[166] + vU_[159] * vU_[174];
+ vU_[170] = vU_[231] * vU_[161] + vU_[166] * vU_[159];
+ vU_[98] = vU_[141] * vU_[227];
+ vU_[112] = (vU_[221] * vU_[194] + vU_[98]) * vU_[221] + (vU_[221] * vU_[227] + vU_[141] * vU_[235]) * vU_[141];
+ vU_[227] = vU_[141] * vU_[194] + vU_[220] * vU_[227];
+ vU_[98] = vU_[98] + vU_[220] * vU_[235];
+ vU_[40] = vU_[227] * vU_[141] + vU_[98] * vU_[220];
+ vU_[194] = 53.433 + vU_[57] + vU_[17] + vU_[35] + vU_[116] + vU_[69] + vU_[93] + vU_[174] + vU_[134] + vU_[152] + vU_[235] + vU_[194] + vU_[212] - vU_[84] - vU_[28] - vU_[67] - vU_[15] - vU_[157] - vU_[170] - vU_[112] - vU_[40] - vU_[192] * vU_[113] - vU_[32] * vU_[54] - vU_[205] * vU_[149];
+ vU_[91] = (-1 * vU_[91] - vU_[192] * vU_[147] - vU_[32] * vU_[97] - vU_[205] * vU_[82]) / vU_[194];
+ vU_[171] = (vU_[172] + vU_[114] + vU_[55] + vU_[171] - vU_[192] * vU_[176] - vU_[32] * vU_[237] - vU_[205] * vU_[59]) / vU_[194];
+ vU_[112] = 53.433 + vU_[35] + vU_[84] + vU_[93] + vU_[67] + vU_[152] + vU_[157] + vU_[212] + vU_[112] - vU_[232] * vU_[176] - vU_[209] * vU_[237] - vU_[233] * vU_[59] - vU_[90] * vU_[171];
+ vU_[157] = (vU_[118] * vU_[11] + vU_[217] * vU_[239] - vU_[232] * vU_[147] - vU_[209] * vU_[97] - vU_[233] * vU_[82] - vU_[90] * vU_[91]) / vU_[112];
+ vU_[132] = vU_[108] * vU_[102] + vU_[132] * vU_[24];
+ vU_[49] = vU_[145] * vU_[42] + vU_[49] * vU_[0];
+ vU_[166] = vU_[231] * vU_[159] + vU_[166] * vU_[92];
+ vU_[98] = vU_[227] * vU_[221] + vU_[98] * vU_[141];
+ vU_[36] = vU_[36] * vU_[44] + vU_[50] * vU_[42];
+ vU_[94] = vU_[94] * vU_[24] + vU_[109] * vU_[101];
+ vU_[153] = vU_[153] * vU_[161] + vU_[167] * vU_[159];
+ vU_[213] = vU_[213] * vU_[141] + vU_[228] * vU_[220];
+ vU_[16] = vU_[201] * vU_[42] + vU_[211] * vU_[44] + vU_[16];
+ vU_[68] = vU_[20] * vU_[101] + vU_[3] * vU_[24] + vU_[68];
+ vU_[133] = vU_[86] * vU_[159] + vU_[85] * vU_[161] + vU_[133];
+ vU_[193] = vU_[137] * vU_[220] + vU_[120] * vU_[141] + vU_[193];
+ vU_[120] = (-0.0053433 + vU_[16] + vU_[68] + vU_[133] + vU_[193]) / vU_[210];
+ vU_[137] = (1.1915559 + vU_[36] + vU_[94] + vU_[153] + vU_[213] - vU_[216] * vU_[120]) / vU_[208];
+ vU_[107] = vU_[107] * vU_[101] + vU_[75] * vU_[24] + vU_[81];
+ vU_[48] = vU_[48] * vU_[42] + vU_[22] * vU_[44] + vU_[25];
+ vU_[165] = vU_[165] * vU_[159] + vU_[139] * vU_[161] + vU_[142];
+ vU_[226] = vU_[226] * vU_[220] + vU_[199] * vU_[141] + vU_[189];
+ vU_[199] = (vU_[107] + vU_[48] + vU_[165] + vU_[226] - vU_[177] * vU_[137] - vU_[229] * vU_[120]) / vU_[183];
+ vU_[117] = 0 - vU_[24] * vU_[111] - vU_[102] * vU_[117];
+ vU_[58] = 0 - vU_[0] * vU_[52] - vU_[42] * vU_[58];
+ vU_[175] = 0 - vU_[92] * vU_[169] - vU_[159] * vU_[175];
+ vU_[236] = 0 - vU_[141] * vU_[230] - vU_[221] * vU_[236];
+ vU_[230] = (vU_[117] + vU_[58] + vU_[175] + vU_[236] - vU_[192] * vU_[137] - vU_[32] * vU_[120] - vU_[205] * vU_[199]) / vU_[194];
+ vU_[169] = (vU_[132] + vU_[49] + vU_[166] + vU_[98] - vU_[232] * vU_[137] - vU_[209] * vU_[120] - vU_[233] * vU_[199] - vU_[90] * vU_[230]) / vU_[112];
+ vU_[151] = 0 - vU_[151];
+ vU_[193] = -0.0053433 + vU_[16] + vU_[68] + vU_[133] + vU_[193];
+ vU_[213] = 1.1915559 + vU_[36] + vU_[94] + vU_[153] + vU_[213] - vU_[193] * vU_[238];
+ vU_[226] = vU_[107] + vU_[48] + vU_[165] + vU_[226] - vU_[213] * vU_[186] - vU_[193] * vU_[128];
+ vU_[236] = vU_[117] + vU_[58] + vU_[175] + vU_[236] - vU_[213] * vU_[113] - vU_[193] * vU_[54] - vU_[226] * vU_[149];
+ vU_[98] = vU_[132] + vU_[49] + vU_[166] + vU_[98] - vU_[213] * vU_[176] - vU_[193] * vU_[237] - vU_[226] * vU_[59] - vU_[236] * vU_[171];
+ vU_[40] = 53.433 + vU_[35] + vU_[28] + vU_[93] + vU_[15] + vU_[152] + vU_[170] + vU_[212] + vU_[40] - vU_[213] * vU_[137] - vU_[193] * vU_[120] - vU_[226] * vU_[199] - vU_[236] * vU_[230] - vU_[98] * vU_[169];
+ vU_[239] = (vU_[220] * vU_[11] + vU_[151] * vU_[239] - vU_[213] * vU_[147] - vU_[193] * vU_[97] - vU_[226] * vU_[82] - vU_[236] * vU_[91] - vU_[98] * vU_[157]) / vU_[40];
+ jac[23] = - vU_[239];
+ vU_[157] = vU_[157] - vU_[169] * vU_[239];
+ jac[22] = - vU_[157];
+ vU_[91] = vU_[91] - vU_[230] * vU_[239] - vU_[171] * vU_[157];
+ jac[21] = - vU_[91];
+ vU_[82] = vU_[82] - vU_[59] * vU_[157] - vU_[149] * vU_[91] - vU_[199] * vU_[239];
+ jac[20] = - vU_[82];
+ vU_[147] = vU_[147] - vU_[113] * vU_[91] - vU_[186] * vU_[82] - vU_[176] * vU_[157] - vU_[137] * vU_[239];
+ jac[18] = vU_[128] * vU_[82] + vU_[238] * vU_[147] + vU_[54] * vU_[91] + vU_[237] * vU_[157] + vU_[120] * vU_[239] - vU_[97];
+ jac[19] = - vU_[147];
+ vU_[147] = -1 * jac[18];
+ vU_[82] = vU_[220] * jac[20] + vU_[141] * jac[19];
+ vU_[91] = vU_[141] * jac[20] + vU_[221] * jac[19];
+ vU_[157] = -1 * jac[21];
+ vU_[239] = 0.207 * jac[20] + vU_[157];
+ vU_[97] = vU_[33] * jac[20] + vU_[119] * jac[19] + vU_[218] * jac[18] + vU_[151] * jac[23] + vU_[217] * jac[22];
+ jac[24] = (1 - vU_[214] * vU_[147] - vU_[206] * vU_[82] - vU_[196] * vU_[91] - vU_[195] * vU_[239] - vU_[225] * (vU_[223] * jac[20] + vU_[222] * jac[19] + vU_[156] * jac[18] + vU_[220] * jac[23] + vU_[118] * jac[22]) - vU_[215] * vU_[97]) / vU_[214];
+ vU_[11] = -1 * vU_[82];
+ vU_[170] = vU_[147] + jac[24];
+ vU_[15] = 0 - vU_[203];
+ vU_[28] = -0.08 * vU_[178];
+ vU_[212] = vU_[178] * vU_[239] + vU_[15] * vU_[97] + vU_[28] * vU_[82];
+ vU_[97] = vU_[203] * vU_[239] + vU_[178] * vU_[97] + vU_[207] * vU_[82];
+ jac[25] = (0 - vU_[191] * vU_[11] - vU_[185] * (vU_[178] * vU_[170] + vU_[204] * vU_[91]) - vU_[190] * (vU_[203] * vU_[170] + vU_[178] * vU_[91]) - vU_[200] * vU_[212] - vU_[198] * vU_[97]) / vU_[191];
+ vU_[170] = 0 - vU_[181];
+ vU_[91] = 0.35 * vU_[179];
+ vU_[11] = vU_[11] + jac[25];
+ jac[26] = (0 - 0.1104774 * (vU_[179] * vU_[212] + vU_[170] * vU_[97] + vU_[91] * vU_[11]) - -0.0004405 * (vU_[181] * vU_[212] + vU_[179] * vU_[97] + vU_[184] * vU_[11]) - 0.026181 * vU_[11]) / 0.026181;
+ vU_[11] = vU_[159] * jac[20] + vU_[92] * jac[19];
+ vU_[97] = vU_[161] * jac[20] + vU_[159] * jac[19];
+ vU_[212] = 0.207 * jac[20] + jac[21];
+ vU_[239] = -0.207 * vU_[159];
+ vU_[82] = 0.3735 * vU_[159];
+ vU_[152] = 0.3735 * vU_[92];
+ vU_[93] = 0 - vU_[92];
+ vU_[35] = vU_[82] * jac[20] + vU_[152] * jac[19] + vU_[158] * jac[18] + vU_[93] * jac[23] + vU_[159] * jac[22];
+ jac[27] = (0 - vU_[154] * jac[18] - vU_[129] * vU_[11] - vU_[136] * vU_[97] - vU_[135] * vU_[212] - vU_[164] * (vU_[162] * jac[20] + vU_[160] * jac[19] + vU_[239] * jac[18] + vU_[159] * jac[23] + vU_[92] * jac[22]) - vU_[155] * vU_[35]) / vU_[154];
+ vU_[166] = jac[18] + jac[27];
+ vU_[49] = 0 - vU_[77];
+ vU_[132] = 0 - vU_[143];
+ vU_[175] = 0.08 * vU_[77];
+ vU_[58] = vU_[49] * vU_[212] + vU_[132] * vU_[35] + vU_[175] * vU_[11];
+ vU_[143] = 0 - vU_[143];
+ vU_[35] = vU_[143] * vU_[212] + vU_[77] * vU_[35] + vU_[148] * vU_[11];
+ jac[28] = (0 - vU_[131] * vU_[11] - vU_[125] * (vU_[126] * vU_[166] + vU_[144] * vU_[97]) - vU_[130] * (vU_[144] * vU_[166] + vU_[77] * vU_[97]) - vU_[140] * vU_[58] - vU_[138] * vU_[35]) / vU_[131];
+ vU_[166] = 0 - vU_[121];
+ vU_[97] = 0.35 * vU_[78];
+ vU_[11] = vU_[11] + jac[28];
+ jac[29] = (0 - 0.1104774 * (vU_[78] * vU_[58] + vU_[166] * vU_[35] + vU_[97] * vU_[11]) - -0.0004405 * (vU_[121] * vU_[58] + vU_[78] * vU_[35] + vU_[124] * vU_[11]) - 0.026181 * vU_[11]) / 0.026181;
+ vU_[11] = vU_[101] * jac[20] + vU_[24] * jac[19];
+ vU_[35] = vU_[24] * jac[20] + vU_[102] * jac[19];
+ vU_[157] = 0.207 * jac[20] + vU_[157];
+ vU_[58] = 0.207 * vU_[101];
+ vU_[212] = 0 - vU_[34];
+ vU_[117] = 0.3735 * vU_[101];
+ vU_[165] = -0.3735 * vU_[34];
+ vU_[34] = 0 - vU_[34];
+ vU_[48] = 0 - vU_[101];
+ vU_[107] = vU_[117] * jac[20] + vU_[165] * jac[19] + vU_[99] * jac[18] + vU_[34] * jac[23] + vU_[48] * jac[22];
+ jac[30] = (0 - vU_[95] * vU_[147] - vU_[83] * vU_[11] - vU_[71] * vU_[35] - vU_[70] * vU_[157] - vU_[106] * (vU_[104] * jac[20] + vU_[103] * jac[19] + vU_[58] * jac[18] + vU_[101] * jac[23] + vU_[212] * jac[22]) - vU_[96] * vU_[107]) / vU_[95];
+ vU_[153] = -1 * vU_[11];
+ vU_[147] = vU_[147] + jac[30];
+ vU_[94] = 0 - vU_[79];
+ vU_[36] = -0.08 * vU_[61];
+ vU_[133] = vU_[61] * vU_[157] + vU_[94] * vU_[107] + vU_[36] * vU_[11];
+ vU_[107] = vU_[79] * vU_[157] + vU_[61] * vU_[107] + vU_[88] * vU_[11];
+ jac[31] = (0 - vU_[66] * vU_[153] - 2.1e-05 * (vU_[61] * vU_[147] + vU_[80] * vU_[35]) - -0.000102 * (vU_[79] * vU_[147] + vU_[61] * vU_[35]) - vU_[76] * vU_[133] - vU_[73] * vU_[107]) / vU_[66];
+ vU_[147] = 0 - vU_[62];
+ vU_[35] = 0.35 * vU_[64];
+ vU_[153] = vU_[153] + jac[31];
+ jac[32] = (0 - 0.110125 * (vU_[64] * vU_[133] + vU_[147] * vU_[107] + vU_[35] * vU_[153]) - 0.000881 * (vU_[62] * vU_[133] + vU_[64] * vU_[107] + vU_[63] * vU_[153]) - 0.026181 * vU_[153]) / 0.026181;
+ vU_[153] = vU_[42] * jac[20] + vU_[0] * jac[19];
+ vU_[107] = vU_[44] * jac[20] + vU_[42] * jac[19];
+ vU_[133] = 0.207 * jac[20] + jac[21];
+ vU_[157] = -0.207 * vU_[42];
+ vU_[11] = -0.3735 * vU_[42];
+ vU_[68] = -0.3735 * vU_[0];
+ vU_[16] = 0 - vU_[0];
+ vU_[52] = vU_[11] * jac[20] + vU_[68] * jac[19] + vU_[41] * jac[18] + vU_[16] * jac[23] + vU_[42] * jac[22];
+ jac[33] = (0 - vU_[37] * jac[18] - vU_[12] * vU_[153] - vU_[19] * vU_[107] - vU_[18] * vU_[133] - vU_[47] * (vU_[45] * jac[20] + vU_[43] * jac[19] + vU_[157] * jac[18] + vU_[42] * jac[23] + vU_[0] * jac[22]) - vU_[38] * vU_[52]) / vU_[37];
+ vU_[111] = jac[18] + jac[33];
+ vU_[189] = 0 - vU_[1];
+ vU_[139] = 0 - vU_[26];
+ vU_[142] = 0.08 * vU_[1];
+ vU_[22] = vU_[189] * vU_[133] + vU_[139] * vU_[52] + vU_[142] * vU_[153];
+ vU_[26] = 0 - vU_[26];
+ vU_[52] = vU_[26] * vU_[133] + vU_[1] * vU_[52] + vU_[31] * vU_[153];
+ jac[34] = (0 - vU_[14] * vU_[153] - vU_[8] * (vU_[9] * vU_[111] + vU_[27] * vU_[107]) - vU_[13] * (vU_[27] * vU_[111] + vU_[1] * vU_[107]) - vU_[23] * vU_[22] - vU_[21] * vU_[52]) / vU_[14];
+ vU_[111] = 0 - vU_[4];
+ vU_[107] = 0.35 * vU_[2];
+ vU_[153] = vU_[153] + jac[34];
+ jac[35] = (0 - 0.1104774 * (vU_[2] * vU_[22] + vU_[111] * vU_[52] + vU_[107] * vU_[153]) - 0.0004405 * (vU_[4] * vU_[22] + vU_[2] * vU_[52] + vU_[7] * vU_[153]) - 0.026181 * vU_[153]) / 0.026181;
+ vU_[153] = vU_[200] / vU_[191];
+ vU_[52] = vU_[198] / vU_[191];
+ vU_[22] = vU_[185] / vU_[191];
+ vU_[133] = vU_[190] / vU_[191];
+ vU_[25] = vU_[178] * vU_[22] + vU_[203] * vU_[133];
+ vU_[75] = 0 - vU_[25];
+ vU_[81] = vU_[28] * vU_[153] + vU_[207] * vU_[52] + -1 * vU_[191] / vU_[191] + (vU_[206] * vU_[75]) / vU_[214];
+ vU_[133] = vU_[204] * vU_[22] + vU_[178] * vU_[133] + (vU_[196] * vU_[75]) / vU_[214];
+ vU_[22] = vU_[178] * vU_[153] + vU_[203] * vU_[52] + (vU_[195] * vU_[75]) / vU_[214];
+ vU_[85] = (vU_[225] * vU_[75]) / vU_[214];
+ vU_[52] = vU_[15] * vU_[153] + vU_[178] * vU_[52] + (vU_[215] * vU_[75]) / vU_[214];
+ vU_[25] = (vU_[156] * vU_[85] + vU_[218] * vU_[52] + -1 * (vU_[25] + (vU_[214] * vU_[75]) / vU_[214])) / vU_[210];
+ vU_[153] = (vU_[141] * vU_[81] + vU_[221] * vU_[133] + vU_[222] * vU_[85] + vU_[119] * vU_[52] - vU_[216] * vU_[25]) / vU_[208];
+ vU_[133] = (vU_[220] * vU_[81] + vU_[141] * vU_[133] + 0.207 * vU_[22] + vU_[223] * vU_[85] + vU_[33] * vU_[52] - vU_[177] * vU_[153] - vU_[229] * vU_[25]) / vU_[183];
+ vU_[22] = (-1 * vU_[22] - vU_[192] * vU_[153] - vU_[32] * vU_[25] - vU_[205] * vU_[133]) / vU_[194];
+ vU_[81] = (vU_[118] * vU_[85] + vU_[217] * vU_[52] - vU_[232] * vU_[153] - vU_[209] * vU_[25] - vU_[233] * vU_[133] - vU_[90] * vU_[22]) / vU_[112];
+ vU_[52] = (vU_[220] * vU_[85] + vU_[151] * vU_[52] - vU_[213] * vU_[153] - vU_[193] * vU_[25] - vU_[226] * vU_[133] - vU_[236] * vU_[22] - vU_[98] * vU_[81]) / vU_[40];
+ jac[59] = - vU_[52];
+ vU_[81] = vU_[81] - vU_[169] * vU_[52];
+ jac[58] = - vU_[81];
+ vU_[22] = vU_[22] - vU_[230] * vU_[52] - vU_[171] * vU_[81];
+ jac[57] = - vU_[22];
+ vU_[133] = vU_[133] - vU_[59] * vU_[81] - vU_[149] * vU_[22] - vU_[199] * vU_[52];
+ jac[56] = - vU_[133];
+ vU_[153] = vU_[153] - vU_[113] * vU_[22] - vU_[186] * vU_[133] - vU_[176] * vU_[81] - vU_[137] * vU_[52];
+ jac[54] = vU_[128] * vU_[133] + vU_[238] * vU_[153] + vU_[54] * vU_[22] + vU_[237] * vU_[81] + vU_[120] * vU_[52] - vU_[25];
+ jac[55] = - vU_[153];
+ vU_[153] = -1 * jac[54];
+ vU_[133] = vU_[220] * jac[56] + vU_[141] * jac[55];
+ vU_[22] = vU_[141] * jac[56] + vU_[221] * jac[55];
+ vU_[81] = -1 * jac[57];
+ vU_[52] = 0.207 * jac[56] + vU_[81];
+ vU_[25] = vU_[33] * jac[56] + vU_[119] * jac[55] + vU_[218] * jac[54] + vU_[151] * jac[59] + vU_[217] * jac[58];
+ jac[60] = (vU_[75] - vU_[214] * vU_[153] - vU_[206] * vU_[133] - vU_[196] * vU_[22] - vU_[195] * vU_[52] - vU_[225] * (vU_[223] * jac[56] + vU_[222] * jac[55] + vU_[156] * jac[54] + vU_[220] * jac[59] + vU_[118] * jac[58]) - vU_[215] * vU_[25]) / vU_[214];
+ vU_[75] = -1 * vU_[133];
+ vU_[85] = vU_[153] + jac[60];
+ vU_[86] = vU_[178] * vU_[52] + vU_[15] * vU_[25] + vU_[28] * vU_[133];
+ vU_[25] = vU_[203] * vU_[52] + vU_[178] * vU_[25] + vU_[207] * vU_[133];
+ jac[61] = (1 - vU_[191] * vU_[75] - vU_[185] * (vU_[178] * vU_[85] + vU_[204] * vU_[22]) - vU_[190] * (vU_[203] * vU_[85] + vU_[178] * vU_[22]) - vU_[200] * vU_[86] - vU_[198] * vU_[25]) / vU_[191];
+ vU_[75] = vU_[75] + jac[61];
+ jac[62] = (0 - 0.1104774 * (vU_[179] * vU_[86] + vU_[170] * vU_[25] + vU_[91] * vU_[75]) - -0.0004405 * (vU_[181] * vU_[86] + vU_[179] * vU_[25] + vU_[184] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[159] * jac[56] + vU_[92] * jac[55];
+ vU_[25] = vU_[161] * jac[56] + vU_[159] * jac[55];
+ vU_[86] = 0.207 * jac[56] + jac[57];
+ vU_[85] = vU_[82] * jac[56] + vU_[152] * jac[55] + vU_[158] * jac[54] + vU_[93] * jac[59] + vU_[159] * jac[58];
+ jac[63] = (0 - vU_[154] * jac[54] - vU_[129] * vU_[75] - vU_[136] * vU_[25] - vU_[135] * vU_[86] - vU_[164] * (vU_[162] * jac[56] + vU_[160] * jac[55] + vU_[239] * jac[54] + vU_[159] * jac[59] + vU_[92] * jac[58]) - vU_[155] * vU_[85]) / vU_[154];
+ vU_[22] = jac[54] + jac[63];
+ vU_[52] = vU_[49] * vU_[86] + vU_[132] * vU_[85] + vU_[175] * vU_[75];
+ vU_[85] = vU_[143] * vU_[86] + vU_[77] * vU_[85] + vU_[148] * vU_[75];
+ jac[64] = (0 - vU_[131] * vU_[75] - vU_[125] * (vU_[126] * vU_[22] + vU_[144] * vU_[25]) - vU_[130] * (vU_[144] * vU_[22] + vU_[77] * vU_[25]) - vU_[140] * vU_[52] - vU_[138] * vU_[85]) / vU_[131];
+ vU_[75] = vU_[75] + jac[64];
+ jac[65] = (0 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[85] + vU_[97] * vU_[75]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[85] + vU_[124] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[101] * jac[56] + vU_[24] * jac[55];
+ vU_[85] = vU_[24] * jac[56] + vU_[102] * jac[55];
+ vU_[81] = 0.207 * jac[56] + vU_[81];
+ vU_[52] = vU_[117] * jac[56] + vU_[165] * jac[55] + vU_[99] * jac[54] + vU_[34] * jac[59] + vU_[48] * jac[58];
+ jac[66] = (0 - vU_[95] * vU_[153] - vU_[83] * vU_[75] - vU_[71] * vU_[85] - vU_[70] * vU_[81] - vU_[106] * (vU_[104] * jac[56] + vU_[103] * jac[55] + vU_[58] * jac[54] + vU_[101] * jac[59] + vU_[212] * jac[58]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[22] = -1 * vU_[75];
+ vU_[153] = vU_[153] + jac[66];
+ vU_[25] = vU_[61] * vU_[81] + vU_[94] * vU_[52] + vU_[36] * vU_[75];
+ vU_[52] = vU_[79] * vU_[81] + vU_[61] * vU_[52] + vU_[88] * vU_[75];
+ jac[67] = (0 - vU_[66] * vU_[22] - 2.1e-05 * (vU_[61] * vU_[153] + vU_[80] * vU_[85]) - -0.000102 * (vU_[79] * vU_[153] + vU_[61] * vU_[85]) - vU_[76] * vU_[25] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[22] = vU_[22] + jac[67];
+ jac[68] = (0 - 0.110125 * (vU_[64] * vU_[25] + vU_[147] * vU_[52] + vU_[35] * vU_[22]) - 0.000881 * (vU_[62] * vU_[25] + vU_[64] * vU_[52] + vU_[63] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[42] * jac[56] + vU_[0] * jac[55];
+ vU_[52] = vU_[44] * jac[56] + vU_[42] * jac[55];
+ vU_[25] = 0.207 * jac[56] + jac[57];
+ vU_[153] = vU_[11] * jac[56] + vU_[68] * jac[55] + vU_[41] * jac[54] + vU_[16] * jac[59] + vU_[42] * jac[58];
+ jac[69] = (0 - vU_[37] * jac[54] - vU_[12] * vU_[22] - vU_[19] * vU_[52] - vU_[18] * vU_[25] - vU_[47] * (vU_[45] * jac[56] + vU_[43] * jac[55] + vU_[157] * jac[54] + vU_[42] * jac[59] + vU_[0] * jac[58]) - vU_[38] * vU_[153]) / vU_[37];
+ vU_[85] = jac[54] + jac[69];
+ vU_[81] = vU_[189] * vU_[25] + vU_[139] * vU_[153] + vU_[142] * vU_[22];
+ vU_[153] = vU_[26] * vU_[25] + vU_[1] * vU_[153] + vU_[31] * vU_[22];
+ jac[70] = (0 - vU_[14] * vU_[22] - vU_[8] * (vU_[9] * vU_[85] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[85] + vU_[1] * vU_[52]) - vU_[23] * vU_[81] - vU_[21] * vU_[153]) / vU_[14];
+ vU_[22] = vU_[22] + jac[70];
+ jac[71] = (0 - 0.1104774 * (vU_[2] * vU_[81] + vU_[111] * vU_[153] + vU_[107] * vU_[22]) - 0.0004405 * (vU_[4] * vU_[81] + vU_[2] * vU_[153] + vU_[7] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = 1 + vU_[91] * 4.21975478400367 + vU_[184] * -0.0168251785646079;
+ vU_[153] = 0 - vU_[22];
+ vU_[81] = vU_[179] * 4.21975478400367 + vU_[181] * -0.0168251785646079 + (vU_[200] * vU_[153]) / vU_[191];
+ vU_[85] = vU_[170] * 4.21975478400367 + vU_[179] * -0.0168251785646079 + (vU_[198] * vU_[153]) / vU_[191];
+ vU_[52] = (vU_[185] * vU_[153]) / vU_[191];
+ vU_[25] = (vU_[190] * vU_[153]) / vU_[191];
+ vU_[75] = vU_[178] * vU_[52] + vU_[203] * vU_[25];
+ vU_[86] = 0 - vU_[75];
+ vU_[22] = vU_[28] * vU_[81] + vU_[207] * vU_[85] + -1 * (vU_[22] + (vU_[191] * vU_[153]) / vU_[191]) + (vU_[206] * vU_[86]) / vU_[214];
+ vU_[25] = vU_[204] * vU_[52] + vU_[178] * vU_[25] + (vU_[196] * vU_[86]) / vU_[214];
+ vU_[52] = vU_[178] * vU_[81] + vU_[203] * vU_[85] + (vU_[195] * vU_[86]) / vU_[214];
+ vU_[133] = (vU_[225] * vU_[86]) / vU_[214];
+ vU_[85] = vU_[15] * vU_[81] + vU_[178] * vU_[85] + (vU_[215] * vU_[86]) / vU_[214];
+ vU_[75] = (vU_[156] * vU_[133] + vU_[218] * vU_[85] + -1 * (vU_[75] + (vU_[214] * vU_[86]) / vU_[214])) / vU_[210];
+ vU_[81] = (vU_[141] * vU_[22] + vU_[221] * vU_[25] + vU_[222] * vU_[133] + vU_[119] * vU_[85] - vU_[216] * vU_[75]) / vU_[208];
+ vU_[25] = (vU_[220] * vU_[22] + vU_[141] * vU_[25] + 0.207 * vU_[52] + vU_[223] * vU_[133] + vU_[33] * vU_[85] - vU_[177] * vU_[81] - vU_[229] * vU_[75]) / vU_[183];
+ vU_[52] = (-1 * vU_[52] - vU_[192] * vU_[81] - vU_[32] * vU_[75] - vU_[205] * vU_[25]) / vU_[194];
+ vU_[22] = (vU_[118] * vU_[133] + vU_[217] * vU_[85] - vU_[232] * vU_[81] - vU_[209] * vU_[75] - vU_[233] * vU_[25] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[85] = (vU_[220] * vU_[133] + vU_[151] * vU_[85] - vU_[213] * vU_[81] - vU_[193] * vU_[75] - vU_[226] * vU_[25] - vU_[236] * vU_[52] - vU_[98] * vU_[22]) / vU_[40];
+ jac[95] = - vU_[85];
+ vU_[22] = vU_[22] - vU_[169] * vU_[85];
+ jac[94] = - vU_[22];
+ vU_[52] = vU_[52] - vU_[230] * vU_[85] - vU_[171] * vU_[22];
+ jac[93] = - vU_[52];
+ vU_[25] = vU_[25] - vU_[59] * vU_[22] - vU_[149] * vU_[52] - vU_[199] * vU_[85];
+ jac[92] = - vU_[25];
+ vU_[81] = vU_[81] - vU_[113] * vU_[52] - vU_[186] * vU_[25] - vU_[176] * vU_[22] - vU_[137] * vU_[85];
+ jac[90] = vU_[128] * vU_[25] + vU_[238] * vU_[81] + vU_[54] * vU_[52] + vU_[237] * vU_[22] + vU_[120] * vU_[85] - vU_[75];
+ jac[91] = - vU_[81];
+ vU_[81] = -1 * jac[90];
+ vU_[25] = vU_[220] * jac[92] + vU_[141] * jac[91];
+ vU_[52] = vU_[141] * jac[92] + vU_[221] * jac[91];
+ vU_[22] = -1 * jac[93];
+ vU_[85] = 0.207 * jac[92] + vU_[22];
+ vU_[75] = vU_[33] * jac[92] + vU_[119] * jac[91] + vU_[218] * jac[90] + vU_[151] * jac[95] + vU_[217] * jac[94];
+ jac[96] = (vU_[86] - vU_[214] * vU_[81] - vU_[206] * vU_[25] - vU_[196] * vU_[52] - vU_[195] * vU_[85] - vU_[225] * (vU_[223] * jac[92] + vU_[222] * jac[91] + vU_[156] * jac[90] + vU_[220] * jac[95] + vU_[118] * jac[94]) - vU_[215] * vU_[75]) / vU_[214];
+ vU_[86] = -1 * vU_[25];
+ vU_[133] = vU_[81] + jac[96];
+ vU_[3] = vU_[178] * vU_[85] + vU_[15] * vU_[75] + vU_[28] * vU_[25];
+ vU_[75] = vU_[203] * vU_[85] + vU_[178] * vU_[75] + vU_[207] * vU_[25];
+ jac[97] = (vU_[153] - vU_[191] * vU_[86] - vU_[185] * (vU_[178] * vU_[133] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[133] + vU_[178] * vU_[52]) - vU_[200] * vU_[3] - vU_[198] * vU_[75]) / vU_[191];
+ vU_[86] = vU_[86] + jac[97];
+ jac[98] = (1 - 0.1104774 * (vU_[179] * vU_[3] + vU_[170] * vU_[75] + vU_[91] * vU_[86]) - -0.0004405 * (vU_[181] * vU_[3] + vU_[179] * vU_[75] + vU_[184] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[159] * jac[92] + vU_[92] * jac[91];
+ vU_[75] = vU_[161] * jac[92] + vU_[159] * jac[91];
+ vU_[3] = 0.207 * jac[92] + jac[93];
+ vU_[133] = vU_[82] * jac[92] + vU_[152] * jac[91] + vU_[158] * jac[90] + vU_[93] * jac[95] + vU_[159] * jac[94];
+ jac[99] = (0 - vU_[154] * jac[90] - vU_[129] * vU_[86] - vU_[136] * vU_[75] - vU_[135] * vU_[3] - vU_[164] * (vU_[162] * jac[92] + vU_[160] * jac[91] + vU_[239] * jac[90] + vU_[159] * jac[95] + vU_[92] * jac[94]) - vU_[155] * vU_[133]) / vU_[154];
+ vU_[52] = jac[90] + jac[99];
+ vU_[153] = vU_[49] * vU_[3] + vU_[132] * vU_[133] + vU_[175] * vU_[86];
+ vU_[133] = vU_[143] * vU_[3] + vU_[77] * vU_[133] + vU_[148] * vU_[86];
+ jac[100] = (0 - vU_[131] * vU_[86] - vU_[125] * (vU_[126] * vU_[52] + vU_[144] * vU_[75]) - vU_[130] * (vU_[144] * vU_[52] + vU_[77] * vU_[75]) - vU_[140] * vU_[153] - vU_[138] * vU_[133]) / vU_[131];
+ vU_[86] = vU_[86] + jac[100];
+ jac[101] = (0 - 0.1104774 * (vU_[78] * vU_[153] + vU_[166] * vU_[133] + vU_[97] * vU_[86]) - -0.0004405 * (vU_[121] * vU_[153] + vU_[78] * vU_[133] + vU_[124] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[101] * jac[92] + vU_[24] * jac[91];
+ vU_[133] = vU_[24] * jac[92] + vU_[102] * jac[91];
+ vU_[22] = 0.207 * jac[92] + vU_[22];
+ vU_[153] = vU_[117] * jac[92] + vU_[165] * jac[91] + vU_[99] * jac[90] + vU_[34] * jac[95] + vU_[48] * jac[94];
+ jac[102] = (0 - vU_[95] * vU_[81] - vU_[83] * vU_[86] - vU_[71] * vU_[133] - vU_[70] * vU_[22] - vU_[106] * (vU_[104] * jac[92] + vU_[103] * jac[91] + vU_[58] * jac[90] + vU_[101] * jac[95] + vU_[212] * jac[94]) - vU_[96] * vU_[153]) / vU_[95];
+ vU_[52] = -1 * vU_[86];
+ vU_[81] = vU_[81] + jac[102];
+ vU_[75] = vU_[61] * vU_[22] + vU_[94] * vU_[153] + vU_[36] * vU_[86];
+ vU_[153] = vU_[79] * vU_[22] + vU_[61] * vU_[153] + vU_[88] * vU_[86];
+ jac[103] = (0 - vU_[66] * vU_[52] - 2.1e-05 * (vU_[61] * vU_[81] + vU_[80] * vU_[133]) - -0.000102 * (vU_[79] * vU_[81] + vU_[61] * vU_[133]) - vU_[76] * vU_[75] - vU_[73] * vU_[153]) / vU_[66];
+ vU_[52] = vU_[52] + jac[103];
+ jac[104] = (0 - 0.110125 * (vU_[64] * vU_[75] + vU_[147] * vU_[153] + vU_[35] * vU_[52]) - 0.000881 * (vU_[62] * vU_[75] + vU_[64] * vU_[153] + vU_[63] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[42] * jac[92] + vU_[0] * jac[91];
+ vU_[153] = vU_[44] * jac[92] + vU_[42] * jac[91];
+ vU_[75] = 0.207 * jac[92] + jac[93];
+ vU_[81] = vU_[11] * jac[92] + vU_[68] * jac[91] + vU_[41] * jac[90] + vU_[16] * jac[95] + vU_[42] * jac[94];
+ jac[105] = (0 - vU_[37] * jac[90] - vU_[12] * vU_[52] - vU_[19] * vU_[153] - vU_[18] * vU_[75] - vU_[47] * (vU_[45] * jac[92] + vU_[43] * jac[91] + vU_[157] * jac[90] + vU_[42] * jac[95] + vU_[0] * jac[94]) - vU_[38] * vU_[81]) / vU_[37];
+ vU_[133] = jac[90] + jac[105];
+ vU_[22] = vU_[189] * vU_[75] + vU_[139] * vU_[81] + vU_[142] * vU_[52];
+ vU_[81] = vU_[26] * vU_[75] + vU_[1] * vU_[81] + vU_[31] * vU_[52];
+ jac[106] = (0 - vU_[14] * vU_[52] - vU_[8] * (vU_[9] * vU_[133] + vU_[27] * vU_[153]) - vU_[13] * (vU_[27] * vU_[133] + vU_[1] * vU_[153]) - vU_[23] * vU_[22] - vU_[21] * vU_[81]) / vU_[14];
+ vU_[52] = vU_[52] + jac[106];
+ jac[107] = (0 - 0.1104774 * (vU_[2] * vU_[22] + vU_[111] * vU_[81] + vU_[107] * vU_[52]) - 0.0004405 * (vU_[4] * vU_[22] + vU_[2] * vU_[81] + vU_[7] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[129] / vU_[154];
+ vU_[81] = vU_[136] / vU_[154];
+ vU_[22] = vU_[135] / vU_[154];
+ vU_[133] = vU_[164] / vU_[154];
+ vU_[153] = vU_[155] / vU_[154];
+ vU_[75] = (vU_[154] / vU_[154] + vU_[239] * vU_[133] + vU_[158] * vU_[153]) / vU_[210];
+ vU_[86] = (vU_[92] * vU_[52] + vU_[159] * vU_[81] + vU_[160] * vU_[133] + vU_[152] * vU_[153] - vU_[216] * vU_[75]) / vU_[208];
+ vU_[81] = (vU_[159] * vU_[52] + vU_[161] * vU_[81] + 0.207 * vU_[22] + vU_[162] * vU_[133] + vU_[82] * vU_[153] - vU_[177] * vU_[86] - vU_[229] * vU_[75]) / vU_[183];
+ vU_[22] = (vU_[22] - vU_[192] * vU_[86] - vU_[32] * vU_[75] - vU_[205] * vU_[81]) / vU_[194];
+ vU_[52] = (vU_[92] * vU_[133] + vU_[159] * vU_[153] - vU_[232] * vU_[86] - vU_[209] * vU_[75] - vU_[233] * vU_[81] - vU_[90] * vU_[22]) / vU_[112];
+ vU_[153] = (vU_[159] * vU_[133] + vU_[93] * vU_[153] - vU_[213] * vU_[86] - vU_[193] * vU_[75] - vU_[226] * vU_[81] - vU_[236] * vU_[22] - vU_[98] * vU_[52]) / vU_[40];
+ jac[131] = - vU_[153];
+ vU_[52] = vU_[52] - vU_[169] * vU_[153];
+ jac[130] = - vU_[52];
+ vU_[22] = vU_[22] - vU_[230] * vU_[153] - vU_[171] * vU_[52];
+ jac[129] = - vU_[22];
+ vU_[81] = vU_[81] - vU_[59] * vU_[52] - vU_[149] * vU_[22] - vU_[199] * vU_[153];
+ jac[128] = - vU_[81];
+ vU_[86] = vU_[86] - vU_[113] * vU_[22] - vU_[186] * vU_[81] - vU_[176] * vU_[52] - vU_[137] * vU_[153];
+ jac[126] = vU_[128] * vU_[81] + vU_[238] * vU_[86] + vU_[54] * vU_[22] + vU_[237] * vU_[52] + vU_[120] * vU_[153] - vU_[75];
+ jac[127] = - vU_[86];
+ vU_[86] = -1 * jac[126];
+ vU_[81] = vU_[220] * jac[128] + vU_[141] * jac[127];
+ vU_[22] = vU_[141] * jac[128] + vU_[221] * jac[127];
+ vU_[52] = -1 * jac[129];
+ vU_[153] = 0.207 * jac[128] + vU_[52];
+ vU_[75] = vU_[33] * jac[128] + vU_[119] * jac[127] + vU_[218] * jac[126] + vU_[151] * jac[131] + vU_[217] * jac[130];
+ jac[132] = (0 - vU_[214] * vU_[86] - vU_[206] * vU_[81] - vU_[196] * vU_[22] - vU_[195] * vU_[153] - vU_[225] * (vU_[223] * jac[128] + vU_[222] * jac[127] + vU_[156] * jac[126] + vU_[220] * jac[131] + vU_[118] * jac[130]) - vU_[215] * vU_[75]) / vU_[214];
+ vU_[133] = -1 * vU_[81];
+ vU_[3] = vU_[86] + jac[132];
+ vU_[85] = vU_[178] * vU_[153] + vU_[15] * vU_[75] + vU_[28] * vU_[81];
+ vU_[75] = vU_[203] * vU_[153] + vU_[178] * vU_[75] + vU_[207] * vU_[81];
+ jac[133] = (0 - vU_[191] * vU_[133] - vU_[185] * (vU_[178] * vU_[3] + vU_[204] * vU_[22]) - vU_[190] * (vU_[203] * vU_[3] + vU_[178] * vU_[22]) - vU_[200] * vU_[85] - vU_[198] * vU_[75]) / vU_[191];
+ vU_[133] = vU_[133] + jac[133];
+ jac[134] = (0 - 0.1104774 * (vU_[179] * vU_[85] + vU_[170] * vU_[75] + vU_[91] * vU_[133]) - -0.0004405 * (vU_[181] * vU_[85] + vU_[179] * vU_[75] + vU_[184] * vU_[133]) - 0.026181 * vU_[133]) / 0.026181;
+ vU_[133] = vU_[159] * jac[128] + vU_[92] * jac[127];
+ vU_[75] = vU_[161] * jac[128] + vU_[159] * jac[127];
+ vU_[85] = 0.207 * jac[128] + jac[129];
+ vU_[3] = vU_[82] * jac[128] + vU_[152] * jac[127] + vU_[158] * jac[126] + vU_[93] * jac[131] + vU_[159] * jac[130];
+ jac[135] = (1 - vU_[154] * jac[126] - vU_[129] * vU_[133] - vU_[136] * vU_[75] - vU_[135] * vU_[85] - vU_[164] * (vU_[162] * jac[128] + vU_[160] * jac[127] + vU_[239] * jac[126] + vU_[159] * jac[131] + vU_[92] * jac[130]) - vU_[155] * vU_[3]) / vU_[154];
+ vU_[22] = jac[126] + jac[135];
+ vU_[153] = vU_[49] * vU_[85] + vU_[132] * vU_[3] + vU_[175] * vU_[133];
+ vU_[3] = vU_[143] * vU_[85] + vU_[77] * vU_[3] + vU_[148] * vU_[133];
+ jac[136] = (0 - vU_[131] * vU_[133] - vU_[125] * (vU_[126] * vU_[22] + vU_[144] * vU_[75]) - vU_[130] * (vU_[144] * vU_[22] + vU_[77] * vU_[75]) - vU_[140] * vU_[153] - vU_[138] * vU_[3]) / vU_[131];
+ vU_[133] = vU_[133] + jac[136];
+ jac[137] = (0 - 0.1104774 * (vU_[78] * vU_[153] + vU_[166] * vU_[3] + vU_[97] * vU_[133]) - -0.0004405 * (vU_[121] * vU_[153] + vU_[78] * vU_[3] + vU_[124] * vU_[133]) - 0.026181 * vU_[133]) / 0.026181;
+ vU_[133] = vU_[101] * jac[128] + vU_[24] * jac[127];
+ vU_[3] = vU_[24] * jac[128] + vU_[102] * jac[127];
+ vU_[52] = 0.207 * jac[128] + vU_[52];
+ vU_[153] = vU_[117] * jac[128] + vU_[165] * jac[127] + vU_[99] * jac[126] + vU_[34] * jac[131] + vU_[48] * jac[130];
+ jac[138] = (0 - vU_[95] * vU_[86] - vU_[83] * vU_[133] - vU_[71] * vU_[3] - vU_[70] * vU_[52] - vU_[106] * (vU_[104] * jac[128] + vU_[103] * jac[127] + vU_[58] * jac[126] + vU_[101] * jac[131] + vU_[212] * jac[130]) - vU_[96] * vU_[153]) / vU_[95];
+ vU_[22] = -1 * vU_[133];
+ vU_[86] = vU_[86] + jac[138];
+ vU_[75] = vU_[61] * vU_[52] + vU_[94] * vU_[153] + vU_[36] * vU_[133];
+ vU_[153] = vU_[79] * vU_[52] + vU_[61] * vU_[153] + vU_[88] * vU_[133];
+ jac[139] = (0 - vU_[66] * vU_[22] - 2.1e-05 * (vU_[61] * vU_[86] + vU_[80] * vU_[3]) - -0.000102 * (vU_[79] * vU_[86] + vU_[61] * vU_[3]) - vU_[76] * vU_[75] - vU_[73] * vU_[153]) / vU_[66];
+ vU_[22] = vU_[22] + jac[139];
+ jac[140] = (0 - 0.110125 * (vU_[64] * vU_[75] + vU_[147] * vU_[153] + vU_[35] * vU_[22]) - 0.000881 * (vU_[62] * vU_[75] + vU_[64] * vU_[153] + vU_[63] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[42] * jac[128] + vU_[0] * jac[127];
+ vU_[153] = vU_[44] * jac[128] + vU_[42] * jac[127];
+ vU_[75] = 0.207 * jac[128] + jac[129];
+ vU_[86] = vU_[11] * jac[128] + vU_[68] * jac[127] + vU_[41] * jac[126] + vU_[16] * jac[131] + vU_[42] * jac[130];
+ jac[141] = (0 - vU_[37] * jac[126] - vU_[12] * vU_[22] - vU_[19] * vU_[153] - vU_[18] * vU_[75] - vU_[47] * (vU_[45] * jac[128] + vU_[43] * jac[127] + vU_[157] * jac[126] + vU_[42] * jac[131] + vU_[0] * jac[130]) - vU_[38] * vU_[86]) / vU_[37];
+ vU_[3] = jac[126] + jac[141];
+ vU_[52] = vU_[189] * vU_[75] + vU_[139] * vU_[86] + vU_[142] * vU_[22];
+ vU_[86] = vU_[26] * vU_[75] + vU_[1] * vU_[86] + vU_[31] * vU_[22];
+ jac[142] = (0 - vU_[14] * vU_[22] - vU_[8] * (vU_[9] * vU_[3] + vU_[27] * vU_[153]) - vU_[13] * (vU_[27] * vU_[3] + vU_[1] * vU_[153]) - vU_[23] * vU_[52] - vU_[21] * vU_[86]) / vU_[14];
+ vU_[22] = vU_[22] + jac[142];
+ jac[143] = (0 - 0.1104774 * (vU_[2] * vU_[52] + vU_[111] * vU_[86] + vU_[107] * vU_[22]) - 0.0004405 * (vU_[4] * vU_[52] + vU_[2] * vU_[86] + vU_[7] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[140] / vU_[131];
+ vU_[86] = vU_[138] / vU_[131];
+ vU_[52] = vU_[125] / vU_[131];
+ vU_[3] = vU_[130] / vU_[131];
+ vU_[153] = vU_[126] * vU_[52] + vU_[144] * vU_[3];
+ vU_[75] = 0 - vU_[153];
+ vU_[133] = vU_[131] / vU_[131] + vU_[175] * vU_[22] + vU_[148] * vU_[86] + (vU_[129] * vU_[75]) / vU_[154];
+ vU_[3] = vU_[144] * vU_[52] + vU_[77] * vU_[3] + (vU_[136] * vU_[75]) / vU_[154];
+ vU_[52] = vU_[49] * vU_[22] + vU_[143] * vU_[86] + (vU_[135] * vU_[75]) / vU_[154];
+ vU_[85] = (vU_[164] * vU_[75]) / vU_[154];
+ vU_[86] = vU_[132] * vU_[22] + vU_[77] * vU_[86] + (vU_[155] * vU_[75]) / vU_[154];
+ vU_[153] = ((vU_[154] * vU_[75]) / vU_[154] + vU_[153] + vU_[239] * vU_[85] + vU_[158] * vU_[86]) / vU_[210];
+ vU_[22] = (vU_[92] * vU_[133] + vU_[159] * vU_[3] + vU_[160] * vU_[85] + vU_[152] * vU_[86] - vU_[216] * vU_[153]) / vU_[208];
+ vU_[3] = (vU_[159] * vU_[133] + vU_[161] * vU_[3] + 0.207 * vU_[52] + vU_[162] * vU_[85] + vU_[82] * vU_[86] - vU_[177] * vU_[22] - vU_[229] * vU_[153]) / vU_[183];
+ vU_[52] = (vU_[52] - vU_[192] * vU_[22] - vU_[32] * vU_[153] - vU_[205] * vU_[3]) / vU_[194];
+ vU_[133] = (vU_[92] * vU_[85] + vU_[159] * vU_[86] - vU_[232] * vU_[22] - vU_[209] * vU_[153] - vU_[233] * vU_[3] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[86] = (vU_[159] * vU_[85] + vU_[93] * vU_[86] - vU_[213] * vU_[22] - vU_[193] * vU_[153] - vU_[226] * vU_[3] - vU_[236] * vU_[52] - vU_[98] * vU_[133]) / vU_[40];
+ jac[167] = - vU_[86];
+ vU_[133] = vU_[133] - vU_[169] * vU_[86];
+ jac[166] = - vU_[133];
+ vU_[52] = vU_[52] - vU_[230] * vU_[86] - vU_[171] * vU_[133];
+ jac[165] = - vU_[52];
+ vU_[3] = vU_[3] - vU_[59] * vU_[133] - vU_[149] * vU_[52] - vU_[199] * vU_[86];
+ jac[164] = - vU_[3];
+ vU_[22] = vU_[22] - vU_[113] * vU_[52] - vU_[186] * vU_[3] - vU_[176] * vU_[133] - vU_[137] * vU_[86];
+ jac[162] = vU_[128] * vU_[3] + vU_[238] * vU_[22] + vU_[54] * vU_[52] + vU_[237] * vU_[133] + vU_[120] * vU_[86] - vU_[153];
+ jac[163] = - vU_[22];
+ vU_[22] = -1 * jac[162];
+ vU_[3] = vU_[220] * jac[164] + vU_[141] * jac[163];
+ vU_[52] = vU_[141] * jac[164] + vU_[221] * jac[163];
+ vU_[133] = -1 * jac[165];
+ vU_[86] = 0.207 * jac[164] + vU_[133];
+ vU_[153] = vU_[33] * jac[164] + vU_[119] * jac[163] + vU_[218] * jac[162] + vU_[151] * jac[167] + vU_[217] * jac[166];
+ jac[168] = (0 - vU_[214] * vU_[22] - vU_[206] * vU_[3] - vU_[196] * vU_[52] - vU_[195] * vU_[86] - vU_[225] * (vU_[223] * jac[164] + vU_[222] * jac[163] + vU_[156] * jac[162] + vU_[220] * jac[167] + vU_[118] * jac[166]) - vU_[215] * vU_[153]) / vU_[214];
+ vU_[85] = -1 * vU_[3];
+ vU_[81] = vU_[22] + jac[168];
+ vU_[25] = vU_[178] * vU_[86] + vU_[15] * vU_[153] + vU_[28] * vU_[3];
+ vU_[153] = vU_[203] * vU_[86] + vU_[178] * vU_[153] + vU_[207] * vU_[3];
+ jac[169] = (0 - vU_[191] * vU_[85] - vU_[185] * (vU_[178] * vU_[81] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[81] + vU_[178] * vU_[52]) - vU_[200] * vU_[25] - vU_[198] * vU_[153]) / vU_[191];
+ vU_[85] = vU_[85] + jac[169];
+ jac[170] = (0 - 0.1104774 * (vU_[179] * vU_[25] + vU_[170] * vU_[153] + vU_[91] * vU_[85]) - -0.0004405 * (vU_[181] * vU_[25] + vU_[179] * vU_[153] + vU_[184] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = vU_[159] * jac[164] + vU_[92] * jac[163];
+ vU_[153] = vU_[161] * jac[164] + vU_[159] * jac[163];
+ vU_[25] = 0.207 * jac[164] + jac[165];
+ vU_[81] = vU_[82] * jac[164] + vU_[152] * jac[163] + vU_[158] * jac[162] + vU_[93] * jac[167] + vU_[159] * jac[166];
+ jac[171] = (vU_[75] - vU_[154] * jac[162] - vU_[129] * vU_[85] - vU_[136] * vU_[153] - vU_[135] * vU_[25] - vU_[164] * (vU_[162] * jac[164] + vU_[160] * jac[163] + vU_[239] * jac[162] + vU_[159] * jac[167] + vU_[92] * jac[166]) - vU_[155] * vU_[81]) / vU_[154];
+ vU_[75] = jac[162] + jac[171];
+ vU_[52] = vU_[49] * vU_[25] + vU_[132] * vU_[81] + vU_[175] * vU_[85];
+ vU_[81] = vU_[143] * vU_[25] + vU_[77] * vU_[81] + vU_[148] * vU_[85];
+ jac[172] = (1 - vU_[131] * vU_[85] - vU_[125] * (vU_[126] * vU_[75] + vU_[144] * vU_[153]) - vU_[130] * (vU_[144] * vU_[75] + vU_[77] * vU_[153]) - vU_[140] * vU_[52] - vU_[138] * vU_[81]) / vU_[131];
+ vU_[85] = vU_[85] + jac[172];
+ jac[173] = (0 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[81] + vU_[97] * vU_[85]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[81] + vU_[124] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = vU_[101] * jac[164] + vU_[24] * jac[163];
+ vU_[81] = vU_[24] * jac[164] + vU_[102] * jac[163];
+ vU_[133] = 0.207 * jac[164] + vU_[133];
+ vU_[52] = vU_[117] * jac[164] + vU_[165] * jac[163] + vU_[99] * jac[162] + vU_[34] * jac[167] + vU_[48] * jac[166];
+ jac[174] = (0 - vU_[95] * vU_[22] - vU_[83] * vU_[85] - vU_[71] * vU_[81] - vU_[70] * vU_[133] - vU_[106] * (vU_[104] * jac[164] + vU_[103] * jac[163] + vU_[58] * jac[162] + vU_[101] * jac[167] + vU_[212] * jac[166]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[75] = -1 * vU_[85];
+ vU_[22] = vU_[22] + jac[174];
+ vU_[153] = vU_[61] * vU_[133] + vU_[94] * vU_[52] + vU_[36] * vU_[85];
+ vU_[52] = vU_[79] * vU_[133] + vU_[61] * vU_[52] + vU_[88] * vU_[85];
+ jac[175] = (0 - vU_[66] * vU_[75] - 2.1e-05 * (vU_[61] * vU_[22] + vU_[80] * vU_[81]) - -0.000102 * (vU_[79] * vU_[22] + vU_[61] * vU_[81]) - vU_[76] * vU_[153] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[75] = vU_[75] + jac[175];
+ jac[176] = (0 - 0.110125 * (vU_[64] * vU_[153] + vU_[147] * vU_[52] + vU_[35] * vU_[75]) - 0.000881 * (vU_[62] * vU_[153] + vU_[64] * vU_[52] + vU_[63] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[42] * jac[164] + vU_[0] * jac[163];
+ vU_[52] = vU_[44] * jac[164] + vU_[42] * jac[163];
+ vU_[153] = 0.207 * jac[164] + jac[165];
+ vU_[22] = vU_[11] * jac[164] + vU_[68] * jac[163] + vU_[41] * jac[162] + vU_[16] * jac[167] + vU_[42] * jac[166];
+ jac[177] = (0 - vU_[37] * jac[162] - vU_[12] * vU_[75] - vU_[19] * vU_[52] - vU_[18] * vU_[153] - vU_[47] * (vU_[45] * jac[164] + vU_[43] * jac[163] + vU_[157] * jac[162] + vU_[42] * jac[167] + vU_[0] * jac[166]) - vU_[38] * vU_[22]) / vU_[37];
+ vU_[81] = jac[162] + jac[177];
+ vU_[133] = vU_[189] * vU_[153] + vU_[139] * vU_[22] + vU_[142] * vU_[75];
+ vU_[22] = vU_[26] * vU_[153] + vU_[1] * vU_[22] + vU_[31] * vU_[75];
+ jac[178] = (0 - vU_[14] * vU_[75] - vU_[8] * (vU_[9] * vU_[81] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[81] + vU_[1] * vU_[52]) - vU_[23] * vU_[133] - vU_[21] * vU_[22]) / vU_[14];
+ vU_[75] = vU_[75] + jac[178];
+ jac[179] = (0 - 0.1104774 * (vU_[2] * vU_[133] + vU_[111] * vU_[22] + vU_[107] * vU_[75]) - 0.0004405 * (vU_[4] * vU_[133] + vU_[2] * vU_[22] + vU_[7] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = 1 + vU_[97] * 4.21975478400367 + vU_[124] * -0.0168251785646079;
+ vU_[22] = 0 - vU_[75];
+ vU_[133] = vU_[78] * 4.21975478400367 + vU_[121] * -0.0168251785646079 + (vU_[140] * vU_[22]) / vU_[131];
+ vU_[81] = vU_[166] * 4.21975478400367 + vU_[78] * -0.0168251785646079 + (vU_[138] * vU_[22]) / vU_[131];
+ vU_[52] = (vU_[125] * vU_[22]) / vU_[131];
+ vU_[153] = (vU_[130] * vU_[22]) / vU_[131];
+ vU_[85] = vU_[126] * vU_[52] + vU_[144] * vU_[153];
+ vU_[25] = 0 - vU_[85];
+ vU_[75] = (vU_[131] * vU_[22]) / vU_[131] + vU_[75] + vU_[175] * vU_[133] + vU_[148] * vU_[81] + (vU_[129] * vU_[25]) / vU_[154];
+ vU_[153] = vU_[144] * vU_[52] + vU_[77] * vU_[153] + (vU_[136] * vU_[25]) / vU_[154];
+ vU_[52] = vU_[49] * vU_[133] + vU_[143] * vU_[81] + (vU_[135] * vU_[25]) / vU_[154];
+ vU_[86] = (vU_[164] * vU_[25]) / vU_[154];
+ vU_[81] = vU_[132] * vU_[133] + vU_[77] * vU_[81] + (vU_[155] * vU_[25]) / vU_[154];
+ vU_[85] = ((vU_[154] * vU_[25]) / vU_[154] + vU_[85] + vU_[239] * vU_[86] + vU_[158] * vU_[81]) / vU_[210];
+ vU_[133] = (vU_[92] * vU_[75] + vU_[159] * vU_[153] + vU_[160] * vU_[86] + vU_[152] * vU_[81] - vU_[216] * vU_[85]) / vU_[208];
+ vU_[153] = (vU_[159] * vU_[75] + vU_[161] * vU_[153] + 0.207 * vU_[52] + vU_[162] * vU_[86] + vU_[82] * vU_[81] - vU_[177] * vU_[133] - vU_[229] * vU_[85]) / vU_[183];
+ vU_[52] = (vU_[52] - vU_[192] * vU_[133] - vU_[32] * vU_[85] - vU_[205] * vU_[153]) / vU_[194];
+ vU_[75] = (vU_[92] * vU_[86] + vU_[159] * vU_[81] - vU_[232] * vU_[133] - vU_[209] * vU_[85] - vU_[233] * vU_[153] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[81] = (vU_[159] * vU_[86] + vU_[93] * vU_[81] - vU_[213] * vU_[133] - vU_[193] * vU_[85] - vU_[226] * vU_[153] - vU_[236] * vU_[52] - vU_[98] * vU_[75]) / vU_[40];
+ jac[203] = - vU_[81];
+ vU_[75] = vU_[75] - vU_[169] * vU_[81];
+ jac[202] = - vU_[75];
+ vU_[52] = vU_[52] - vU_[230] * vU_[81] - vU_[171] * vU_[75];
+ jac[201] = - vU_[52];
+ vU_[153] = vU_[153] - vU_[59] * vU_[75] - vU_[149] * vU_[52] - vU_[199] * vU_[81];
+ jac[200] = - vU_[153];
+ vU_[133] = vU_[133] - vU_[113] * vU_[52] - vU_[186] * vU_[153] - vU_[176] * vU_[75] - vU_[137] * vU_[81];
+ jac[198] = vU_[128] * vU_[153] + vU_[238] * vU_[133] + vU_[54] * vU_[52] + vU_[237] * vU_[75] + vU_[120] * vU_[81] - vU_[85];
+ jac[199] = - vU_[133];
+ vU_[133] = -1 * jac[198];
+ vU_[153] = vU_[220] * jac[200] + vU_[141] * jac[199];
+ vU_[52] = vU_[141] * jac[200] + vU_[221] * jac[199];
+ vU_[75] = -1 * jac[201];
+ vU_[81] = 0.207 * jac[200] + vU_[75];
+ vU_[85] = vU_[33] * jac[200] + vU_[119] * jac[199] + vU_[218] * jac[198] + vU_[151] * jac[203] + vU_[217] * jac[202];
+ jac[204] = (0 - vU_[214] * vU_[133] - vU_[206] * vU_[153] - vU_[196] * vU_[52] - vU_[195] * vU_[81] - vU_[225] * (vU_[223] * jac[200] + vU_[222] * jac[199] + vU_[156] * jac[198] + vU_[220] * jac[203] + vU_[118] * jac[202]) - vU_[215] * vU_[85]) / vU_[214];
+ vU_[86] = -1 * vU_[153];
+ vU_[3] = vU_[133] + jac[204];
+ vU_[20] = vU_[178] * vU_[81] + vU_[15] * vU_[85] + vU_[28] * vU_[153];
+ vU_[85] = vU_[203] * vU_[81] + vU_[178] * vU_[85] + vU_[207] * vU_[153];
+ jac[205] = (0 - vU_[191] * vU_[86] - vU_[185] * (vU_[178] * vU_[3] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[3] + vU_[178] * vU_[52]) - vU_[200] * vU_[20] - vU_[198] * vU_[85]) / vU_[191];
+ vU_[86] = vU_[86] + jac[205];
+ jac[206] = (0 - 0.1104774 * (vU_[179] * vU_[20] + vU_[170] * vU_[85] + vU_[91] * vU_[86]) - -0.0004405 * (vU_[181] * vU_[20] + vU_[179] * vU_[85] + vU_[184] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[159] * jac[200] + vU_[92] * jac[199];
+ vU_[85] = vU_[161] * jac[200] + vU_[159] * jac[199];
+ vU_[20] = 0.207 * jac[200] + jac[201];
+ vU_[3] = vU_[82] * jac[200] + vU_[152] * jac[199] + vU_[158] * jac[198] + vU_[93] * jac[203] + vU_[159] * jac[202];
+ jac[207] = (vU_[25] - vU_[154] * jac[198] - vU_[129] * vU_[86] - vU_[136] * vU_[85] - vU_[135] * vU_[20] - vU_[164] * (vU_[162] * jac[200] + vU_[160] * jac[199] + vU_[239] * jac[198] + vU_[159] * jac[203] + vU_[92] * jac[202]) - vU_[155] * vU_[3]) / vU_[154];
+ vU_[25] = jac[198] + jac[207];
+ vU_[52] = vU_[49] * vU_[20] + vU_[132] * vU_[3] + vU_[175] * vU_[86];
+ vU_[3] = vU_[143] * vU_[20] + vU_[77] * vU_[3] + vU_[148] * vU_[86];
+ jac[208] = (vU_[22] - vU_[131] * vU_[86] - vU_[125] * (vU_[126] * vU_[25] + vU_[144] * vU_[85]) - vU_[130] * (vU_[144] * vU_[25] + vU_[77] * vU_[85]) - vU_[140] * vU_[52] - vU_[138] * vU_[3]) / vU_[131];
+ vU_[86] = vU_[86] + jac[208];
+ jac[209] = (1 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[3] + vU_[97] * vU_[86]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[3] + vU_[124] * vU_[86]) - 0.026181 * vU_[86]) / 0.026181;
+ vU_[86] = vU_[101] * jac[200] + vU_[24] * jac[199];
+ vU_[3] = vU_[24] * jac[200] + vU_[102] * jac[199];
+ vU_[75] = 0.207 * jac[200] + vU_[75];
+ vU_[52] = vU_[117] * jac[200] + vU_[165] * jac[199] + vU_[99] * jac[198] + vU_[34] * jac[203] + vU_[48] * jac[202];
+ jac[210] = (0 - vU_[95] * vU_[133] - vU_[83] * vU_[86] - vU_[71] * vU_[3] - vU_[70] * vU_[75] - vU_[106] * (vU_[104] * jac[200] + vU_[103] * jac[199] + vU_[58] * jac[198] + vU_[101] * jac[203] + vU_[212] * jac[202]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[25] = -1 * vU_[86];
+ vU_[133] = vU_[133] + jac[210];
+ vU_[85] = vU_[61] * vU_[75] + vU_[94] * vU_[52] + vU_[36] * vU_[86];
+ vU_[52] = vU_[79] * vU_[75] + vU_[61] * vU_[52] + vU_[88] * vU_[86];
+ jac[211] = (0 - vU_[66] * vU_[25] - 2.1e-05 * (vU_[61] * vU_[133] + vU_[80] * vU_[3]) - -0.000102 * (vU_[79] * vU_[133] + vU_[61] * vU_[3]) - vU_[76] * vU_[85] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[25] = vU_[25] + jac[211];
+ jac[212] = (0 - 0.110125 * (vU_[64] * vU_[85] + vU_[147] * vU_[52] + vU_[35] * vU_[25]) - 0.000881 * (vU_[62] * vU_[85] + vU_[64] * vU_[52] + vU_[63] * vU_[25]) - 0.026181 * vU_[25]) / 0.026181;
+ vU_[25] = vU_[42] * jac[200] + vU_[0] * jac[199];
+ vU_[52] = vU_[44] * jac[200] + vU_[42] * jac[199];
+ vU_[85] = 0.207 * jac[200] + jac[201];
+ vU_[133] = vU_[11] * jac[200] + vU_[68] * jac[199] + vU_[41] * jac[198] + vU_[16] * jac[203] + vU_[42] * jac[202];
+ jac[213] = (0 - vU_[37] * jac[198] - vU_[12] * vU_[25] - vU_[19] * vU_[52] - vU_[18] * vU_[85] - vU_[47] * (vU_[45] * jac[200] + vU_[43] * jac[199] + vU_[157] * jac[198] + vU_[42] * jac[203] + vU_[0] * jac[202]) - vU_[38] * vU_[133]) / vU_[37];
+ vU_[3] = jac[198] + jac[213];
+ vU_[75] = vU_[189] * vU_[85] + vU_[139] * vU_[133] + vU_[142] * vU_[25];
+ vU_[133] = vU_[26] * vU_[85] + vU_[1] * vU_[133] + vU_[31] * vU_[25];
+ jac[214] = (0 - vU_[14] * vU_[25] - vU_[8] * (vU_[9] * vU_[3] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[3] + vU_[1] * vU_[52]) - vU_[23] * vU_[75] - vU_[21] * vU_[133]) / vU_[14];
+ vU_[25] = vU_[25] + jac[214];
+ jac[215] = (0 - 0.1104774 * (vU_[2] * vU_[75] + vU_[111] * vU_[133] + vU_[107] * vU_[25]) - 0.0004405 * (vU_[4] * vU_[75] + vU_[2] * vU_[133] + vU_[7] * vU_[25]) - 0.026181 * vU_[25]) / 0.026181;
+ vU_[25] = vU_[83] / vU_[95];
+ vU_[133] = vU_[71] / vU_[95];
+ vU_[75] = vU_[70] / vU_[95];
+ vU_[3] = vU_[106] / vU_[95];
+ vU_[52] = vU_[96] / vU_[95];
+ vU_[85] = (vU_[58] * vU_[3] + vU_[99] * vU_[52] + -1 * vU_[95] / vU_[95]) / vU_[210];
+ vU_[86] = (vU_[24] * vU_[25] + vU_[102] * vU_[133] + vU_[103] * vU_[3] + vU_[165] * vU_[52] - vU_[216] * vU_[85]) / vU_[208];
+ vU_[133] = (vU_[101] * vU_[25] + vU_[24] * vU_[133] + 0.207 * vU_[75] + vU_[104] * vU_[3] + vU_[117] * vU_[52] - vU_[177] * vU_[86] - vU_[229] * vU_[85]) / vU_[183];
+ vU_[75] = (-1 * vU_[75] - vU_[192] * vU_[86] - vU_[32] * vU_[85] - vU_[205] * vU_[133]) / vU_[194];
+ vU_[25] = (vU_[212] * vU_[3] + vU_[48] * vU_[52] - vU_[232] * vU_[86] - vU_[209] * vU_[85] - vU_[233] * vU_[133] - vU_[90] * vU_[75]) / vU_[112];
+ vU_[52] = (vU_[101] * vU_[3] + vU_[34] * vU_[52] - vU_[213] * vU_[86] - vU_[193] * vU_[85] - vU_[226] * vU_[133] - vU_[236] * vU_[75] - vU_[98] * vU_[25]) / vU_[40];
+ jac[239] = - vU_[52];
+ vU_[25] = vU_[25] - vU_[169] * vU_[52];
+ jac[238] = - vU_[25];
+ vU_[75] = vU_[75] - vU_[230] * vU_[52] - vU_[171] * vU_[25];
+ jac[237] = - vU_[75];
+ vU_[133] = vU_[133] - vU_[59] * vU_[25] - vU_[149] * vU_[75] - vU_[199] * vU_[52];
+ jac[236] = - vU_[133];
+ vU_[86] = vU_[86] - vU_[113] * vU_[75] - vU_[186] * vU_[133] - vU_[176] * vU_[25] - vU_[137] * vU_[52];
+ jac[234] = vU_[128] * vU_[133] + vU_[238] * vU_[86] + vU_[54] * vU_[75] + vU_[237] * vU_[25] + vU_[120] * vU_[52] - vU_[85];
+ jac[235] = - vU_[86];
+ vU_[86] = -1 * jac[234];
+ vU_[133] = vU_[220] * jac[236] + vU_[141] * jac[235];
+ vU_[75] = vU_[141] * jac[236] + vU_[221] * jac[235];
+ vU_[25] = -1 * jac[237];
+ vU_[52] = 0.207 * jac[236] + vU_[25];
+ vU_[85] = vU_[33] * jac[236] + vU_[119] * jac[235] + vU_[218] * jac[234] + vU_[151] * jac[239] + vU_[217] * jac[238];
+ jac[240] = (0 - vU_[214] * vU_[86] - vU_[206] * vU_[133] - vU_[196] * vU_[75] - vU_[195] * vU_[52] - vU_[225] * (vU_[223] * jac[236] + vU_[222] * jac[235] + vU_[156] * jac[234] + vU_[220] * jac[239] + vU_[118] * jac[238]) - vU_[215] * vU_[85]) / vU_[214];
+ vU_[3] = -1 * vU_[133];
+ vU_[22] = vU_[86] + jac[240];
+ vU_[20] = vU_[178] * vU_[52] + vU_[15] * vU_[85] + vU_[28] * vU_[133];
+ vU_[85] = vU_[203] * vU_[52] + vU_[178] * vU_[85] + vU_[207] * vU_[133];
+ jac[241] = (0 - vU_[191] * vU_[3] - vU_[185] * (vU_[178] * vU_[22] + vU_[204] * vU_[75]) - vU_[190] * (vU_[203] * vU_[22] + vU_[178] * vU_[75]) - vU_[200] * vU_[20] - vU_[198] * vU_[85]) / vU_[191];
+ vU_[3] = vU_[3] + jac[241];
+ jac[242] = (0 - 0.1104774 * (vU_[179] * vU_[20] + vU_[170] * vU_[85] + vU_[91] * vU_[3]) - -0.0004405 * (vU_[181] * vU_[20] + vU_[179] * vU_[85] + vU_[184] * vU_[3]) - 0.026181 * vU_[3]) / 0.026181;
+ vU_[3] = vU_[159] * jac[236] + vU_[92] * jac[235];
+ vU_[85] = vU_[161] * jac[236] + vU_[159] * jac[235];
+ vU_[20] = 0.207 * jac[236] + jac[237];
+ vU_[22] = vU_[82] * jac[236] + vU_[152] * jac[235] + vU_[158] * jac[234] + vU_[93] * jac[239] + vU_[159] * jac[238];
+ jac[243] = (0 - vU_[154] * jac[234] - vU_[129] * vU_[3] - vU_[136] * vU_[85] - vU_[135] * vU_[20] - vU_[164] * (vU_[162] * jac[236] + vU_[160] * jac[235] + vU_[239] * jac[234] + vU_[159] * jac[239] + vU_[92] * jac[238]) - vU_[155] * vU_[22]) / vU_[154];
+ vU_[75] = jac[234] + jac[243];
+ vU_[52] = vU_[49] * vU_[20] + vU_[132] * vU_[22] + vU_[175] * vU_[3];
+ vU_[22] = vU_[143] * vU_[20] + vU_[77] * vU_[22] + vU_[148] * vU_[3];
+ jac[244] = (0 - vU_[131] * vU_[3] - vU_[125] * (vU_[126] * vU_[75] + vU_[144] * vU_[85]) - vU_[130] * (vU_[144] * vU_[75] + vU_[77] * vU_[85]) - vU_[140] * vU_[52] - vU_[138] * vU_[22]) / vU_[131];
+ vU_[3] = vU_[3] + jac[244];
+ jac[245] = (0 - 0.1104774 * (vU_[78] * vU_[52] + vU_[166] * vU_[22] + vU_[97] * vU_[3]) - -0.0004405 * (vU_[121] * vU_[52] + vU_[78] * vU_[22] + vU_[124] * vU_[3]) - 0.026181 * vU_[3]) / 0.026181;
+ vU_[3] = vU_[101] * jac[236] + vU_[24] * jac[235];
+ vU_[22] = vU_[24] * jac[236] + vU_[102] * jac[235];
+ vU_[25] = 0.207 * jac[236] + vU_[25];
+ vU_[52] = vU_[117] * jac[236] + vU_[165] * jac[235] + vU_[99] * jac[234] + vU_[34] * jac[239] + vU_[48] * jac[238];
+ jac[246] = (1 - vU_[95] * vU_[86] - vU_[83] * vU_[3] - vU_[71] * vU_[22] - vU_[70] * vU_[25] - vU_[106] * (vU_[104] * jac[236] + vU_[103] * jac[235] + vU_[58] * jac[234] + vU_[101] * jac[239] + vU_[212] * jac[238]) - vU_[96] * vU_[52]) / vU_[95];
+ vU_[75] = -1 * vU_[3];
+ vU_[86] = vU_[86] + jac[246];
+ vU_[85] = vU_[61] * vU_[25] + vU_[94] * vU_[52] + vU_[36] * vU_[3];
+ vU_[52] = vU_[79] * vU_[25] + vU_[61] * vU_[52] + vU_[88] * vU_[3];
+ jac[247] = (0 - vU_[66] * vU_[75] - 2.1e-05 * (vU_[61] * vU_[86] + vU_[80] * vU_[22]) - -0.000102 * (vU_[79] * vU_[86] + vU_[61] * vU_[22]) - vU_[76] * vU_[85] - vU_[73] * vU_[52]) / vU_[66];
+ vU_[75] = vU_[75] + jac[247];
+ jac[248] = (0 - 0.110125 * (vU_[64] * vU_[85] + vU_[147] * vU_[52] + vU_[35] * vU_[75]) - 0.000881 * (vU_[62] * vU_[85] + vU_[64] * vU_[52] + vU_[63] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[42] * jac[236] + vU_[0] * jac[235];
+ vU_[52] = vU_[44] * jac[236] + vU_[42] * jac[235];
+ vU_[85] = 0.207 * jac[236] + jac[237];
+ vU_[86] = vU_[11] * jac[236] + vU_[68] * jac[235] + vU_[41] * jac[234] + vU_[16] * jac[239] + vU_[42] * jac[238];
+ jac[249] = (0 - vU_[37] * jac[234] - vU_[12] * vU_[75] - vU_[19] * vU_[52] - vU_[18] * vU_[85] - vU_[47] * (vU_[45] * jac[236] + vU_[43] * jac[235] + vU_[157] * jac[234] + vU_[42] * jac[239] + vU_[0] * jac[238]) - vU_[38] * vU_[86]) / vU_[37];
+ vU_[22] = jac[234] + jac[249];
+ vU_[25] = vU_[189] * vU_[85] + vU_[139] * vU_[86] + vU_[142] * vU_[75];
+ vU_[86] = vU_[26] * vU_[85] + vU_[1] * vU_[86] + vU_[31] * vU_[75];
+ jac[250] = (0 - vU_[14] * vU_[75] - vU_[8] * (vU_[9] * vU_[22] + vU_[27] * vU_[52]) - vU_[13] * (vU_[27] * vU_[22] + vU_[1] * vU_[52]) - vU_[23] * vU_[25] - vU_[21] * vU_[86]) / vU_[14];
+ vU_[75] = vU_[75] + jac[250];
+ jac[251] = (0 - 0.1104774 * (vU_[2] * vU_[25] + vU_[111] * vU_[86] + vU_[107] * vU_[75]) - 0.0004405 * (vU_[4] * vU_[25] + vU_[2] * vU_[86] + vU_[7] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[76] / vU_[66];
+ vU_[86] = vU_[73] / vU_[66];
+ vU_[25] = 2.1e-05 / vU_[66];
+ vU_[22] = -0.000102 / vU_[66];
+ vU_[52] = vU_[61] * vU_[25] + vU_[79] * vU_[22];
+ vU_[85] = 0 - vU_[52];
+ vU_[3] = vU_[36] * vU_[75] + vU_[88] * vU_[86] + -1 * vU_[66] / vU_[66] + (vU_[83] * vU_[85]) / vU_[95];
+ vU_[22] = vU_[80] * vU_[25] + vU_[61] * vU_[22] + (vU_[71] * vU_[85]) / vU_[95];
+ vU_[25] = vU_[61] * vU_[75] + vU_[79] * vU_[86] + (vU_[70] * vU_[85]) / vU_[95];
+ vU_[20] = (vU_[106] * vU_[85]) / vU_[95];
+ vU_[86] = vU_[94] * vU_[75] + vU_[61] * vU_[86] + (vU_[96] * vU_[85]) / vU_[95];
+ vU_[52] = (vU_[58] * vU_[20] + vU_[99] * vU_[86] + -1 * (vU_[52] + (vU_[95] * vU_[85]) / vU_[95])) / vU_[210];
+ vU_[75] = (vU_[24] * vU_[3] + vU_[102] * vU_[22] + vU_[103] * vU_[20] + vU_[165] * vU_[86] - vU_[216] * vU_[52]) / vU_[208];
+ vU_[22] = (vU_[101] * vU_[3] + vU_[24] * vU_[22] + 0.207 * vU_[25] + vU_[104] * vU_[20] + vU_[117] * vU_[86] - vU_[177] * vU_[75] - vU_[229] * vU_[52]) / vU_[183];
+ vU_[25] = (-1 * vU_[25] - vU_[192] * vU_[75] - vU_[32] * vU_[52] - vU_[205] * vU_[22]) / vU_[194];
+ vU_[3] = (vU_[212] * vU_[20] + vU_[48] * vU_[86] - vU_[232] * vU_[75] - vU_[209] * vU_[52] - vU_[233] * vU_[22] - vU_[90] * vU_[25]) / vU_[112];
+ vU_[86] = (vU_[101] * vU_[20] + vU_[34] * vU_[86] - vU_[213] * vU_[75] - vU_[193] * vU_[52] - vU_[226] * vU_[22] - vU_[236] * vU_[25] - vU_[98] * vU_[3]) / vU_[40];
+ jac[275] = - vU_[86];
+ vU_[3] = vU_[3] - vU_[169] * vU_[86];
+ jac[274] = - vU_[3];
+ vU_[25] = vU_[25] - vU_[230] * vU_[86] - vU_[171] * vU_[3];
+ jac[273] = - vU_[25];
+ vU_[22] = vU_[22] - vU_[59] * vU_[3] - vU_[149] * vU_[25] - vU_[199] * vU_[86];
+ jac[272] = - vU_[22];
+ vU_[75] = vU_[75] - vU_[113] * vU_[25] - vU_[186] * vU_[22] - vU_[176] * vU_[3] - vU_[137] * vU_[86];
+ jac[270] = vU_[128] * vU_[22] + vU_[238] * vU_[75] + vU_[54] * vU_[25] + vU_[237] * vU_[3] + vU_[120] * vU_[86] - vU_[52];
+ jac[271] = - vU_[75];
+ vU_[75] = -1 * jac[270];
+ vU_[22] = vU_[220] * jac[272] + vU_[141] * jac[271];
+ vU_[25] = vU_[141] * jac[272] + vU_[221] * jac[271];
+ vU_[3] = -1 * jac[273];
+ vU_[86] = 0.207 * jac[272] + vU_[3];
+ vU_[52] = vU_[33] * jac[272] + vU_[119] * jac[271] + vU_[218] * jac[270] + vU_[151] * jac[275] + vU_[217] * jac[274];
+ jac[276] = (0 - vU_[214] * vU_[75] - vU_[206] * vU_[22] - vU_[196] * vU_[25] - vU_[195] * vU_[86] - vU_[225] * (vU_[223] * jac[272] + vU_[222] * jac[271] + vU_[156] * jac[270] + vU_[220] * jac[275] + vU_[118] * jac[274]) - vU_[215] * vU_[52]) / vU_[214];
+ vU_[20] = -1 * vU_[22];
+ vU_[133] = vU_[75] + jac[276];
+ vU_[81] = vU_[178] * vU_[86] + vU_[15] * vU_[52] + vU_[28] * vU_[22];
+ vU_[52] = vU_[203] * vU_[86] + vU_[178] * vU_[52] + vU_[207] * vU_[22];
+ jac[277] = (0 - vU_[191] * vU_[20] - vU_[185] * (vU_[178] * vU_[133] + vU_[204] * vU_[25]) - vU_[190] * (vU_[203] * vU_[133] + vU_[178] * vU_[25]) - vU_[200] * vU_[81] - vU_[198] * vU_[52]) / vU_[191];
+ vU_[20] = vU_[20] + jac[277];
+ jac[278] = (0 - 0.1104774 * (vU_[179] * vU_[81] + vU_[170] * vU_[52] + vU_[91] * vU_[20]) - -0.0004405 * (vU_[181] * vU_[81] + vU_[179] * vU_[52] + vU_[184] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[159] * jac[272] + vU_[92] * jac[271];
+ vU_[52] = vU_[161] * jac[272] + vU_[159] * jac[271];
+ vU_[81] = 0.207 * jac[272] + jac[273];
+ vU_[133] = vU_[82] * jac[272] + vU_[152] * jac[271] + vU_[158] * jac[270] + vU_[93] * jac[275] + vU_[159] * jac[274];
+ jac[279] = (0 - vU_[154] * jac[270] - vU_[129] * vU_[20] - vU_[136] * vU_[52] - vU_[135] * vU_[81] - vU_[164] * (vU_[162] * jac[272] + vU_[160] * jac[271] + vU_[239] * jac[270] + vU_[159] * jac[275] + vU_[92] * jac[274]) - vU_[155] * vU_[133]) / vU_[154];
+ vU_[25] = jac[270] + jac[279];
+ vU_[86] = vU_[49] * vU_[81] + vU_[132] * vU_[133] + vU_[175] * vU_[20];
+ vU_[133] = vU_[143] * vU_[81] + vU_[77] * vU_[133] + vU_[148] * vU_[20];
+ jac[280] = (0 - vU_[131] * vU_[20] - vU_[125] * (vU_[126] * vU_[25] + vU_[144] * vU_[52]) - vU_[130] * (vU_[144] * vU_[25] + vU_[77] * vU_[52]) - vU_[140] * vU_[86] - vU_[138] * vU_[133]) / vU_[131];
+ vU_[20] = vU_[20] + jac[280];
+ jac[281] = (0 - 0.1104774 * (vU_[78] * vU_[86] + vU_[166] * vU_[133] + vU_[97] * vU_[20]) - -0.0004405 * (vU_[121] * vU_[86] + vU_[78] * vU_[133] + vU_[124] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[101] * jac[272] + vU_[24] * jac[271];
+ vU_[133] = vU_[24] * jac[272] + vU_[102] * jac[271];
+ vU_[3] = 0.207 * jac[272] + vU_[3];
+ vU_[86] = vU_[117] * jac[272] + vU_[165] * jac[271] + vU_[99] * jac[270] + vU_[34] * jac[275] + vU_[48] * jac[274];
+ jac[282] = (vU_[85] - vU_[95] * vU_[75] - vU_[83] * vU_[20] - vU_[71] * vU_[133] - vU_[70] * vU_[3] - vU_[106] * (vU_[104] * jac[272] + vU_[103] * jac[271] + vU_[58] * jac[270] + vU_[101] * jac[275] + vU_[212] * jac[274]) - vU_[96] * vU_[86]) / vU_[95];
+ vU_[85] = -1 * vU_[20];
+ vU_[75] = vU_[75] + jac[282];
+ vU_[25] = vU_[61] * vU_[3] + vU_[94] * vU_[86] + vU_[36] * vU_[20];
+ vU_[86] = vU_[79] * vU_[3] + vU_[61] * vU_[86] + vU_[88] * vU_[20];
+ jac[283] = (1 - vU_[66] * vU_[85] - 2.1e-05 * (vU_[61] * vU_[75] + vU_[80] * vU_[133]) - -0.000102 * (vU_[79] * vU_[75] + vU_[61] * vU_[133]) - vU_[76] * vU_[25] - vU_[73] * vU_[86]) / vU_[66];
+ vU_[85] = vU_[85] + jac[283];
+ jac[284] = (0 - 0.110125 * (vU_[64] * vU_[25] + vU_[147] * vU_[86] + vU_[35] * vU_[85]) - 0.000881 * (vU_[62] * vU_[25] + vU_[64] * vU_[86] + vU_[63] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = vU_[42] * jac[272] + vU_[0] * jac[271];
+ vU_[86] = vU_[44] * jac[272] + vU_[42] * jac[271];
+ vU_[25] = 0.207 * jac[272] + jac[273];
+ vU_[75] = vU_[11] * jac[272] + vU_[68] * jac[271] + vU_[41] * jac[270] + vU_[16] * jac[275] + vU_[42] * jac[274];
+ jac[285] = (0 - vU_[37] * jac[270] - vU_[12] * vU_[85] - vU_[19] * vU_[86] - vU_[18] * vU_[25] - vU_[47] * (vU_[45] * jac[272] + vU_[43] * jac[271] + vU_[157] * jac[270] + vU_[42] * jac[275] + vU_[0] * jac[274]) - vU_[38] * vU_[75]) / vU_[37];
+ vU_[133] = jac[270] + jac[285];
+ vU_[3] = vU_[189] * vU_[25] + vU_[139] * vU_[75] + vU_[142] * vU_[85];
+ vU_[75] = vU_[26] * vU_[25] + vU_[1] * vU_[75] + vU_[31] * vU_[85];
+ jac[286] = (0 - vU_[14] * vU_[85] - vU_[8] * (vU_[9] * vU_[133] + vU_[27] * vU_[86]) - vU_[13] * (vU_[27] * vU_[133] + vU_[1] * vU_[86]) - vU_[23] * vU_[3] - vU_[21] * vU_[75]) / vU_[14];
+ vU_[85] = vU_[85] + jac[286];
+ jac[287] = (0 - 0.1104774 * (vU_[2] * vU_[3] + vU_[111] * vU_[75] + vU_[107] * vU_[85]) - 0.0004405 * (vU_[4] * vU_[3] + vU_[2] * vU_[75] + vU_[7] * vU_[85]) - 0.026181 * vU_[85]) / 0.026181;
+ vU_[85] = 1 + vU_[35] * 4.20629464115198 + vU_[63] * 0.0336503571292158;
+ vU_[75] = 0 - vU_[85];
+ vU_[3] = vU_[64] * 4.20629464115198 + vU_[62] * 0.0336503571292158 + (vU_[76] * vU_[75]) / vU_[66];
+ vU_[133] = vU_[147] * 4.20629464115198 + vU_[64] * 0.0336503571292158 + (vU_[73] * vU_[75]) / vU_[66];
+ vU_[86] = (2.1e-05 * vU_[75]) / vU_[66];
+ vU_[25] = (-0.000102 * vU_[75]) / vU_[66];
+ vU_[20] = vU_[61] * vU_[86] + vU_[79] * vU_[25];
+ vU_[52] = 0 - vU_[20];
+ vU_[85] = vU_[36] * vU_[3] + vU_[88] * vU_[133] + -1 * (vU_[85] + (vU_[66] * vU_[75]) / vU_[66]) + (vU_[83] * vU_[52]) / vU_[95];
+ vU_[25] = vU_[80] * vU_[86] + vU_[61] * vU_[25] + (vU_[71] * vU_[52]) / vU_[95];
+ vU_[86] = vU_[61] * vU_[3] + vU_[79] * vU_[133] + (vU_[70] * vU_[52]) / vU_[95];
+ vU_[81] = (vU_[106] * vU_[52]) / vU_[95];
+ vU_[133] = vU_[94] * vU_[3] + vU_[61] * vU_[133] + (vU_[96] * vU_[52]) / vU_[95];
+ vU_[20] = (vU_[58] * vU_[81] + vU_[99] * vU_[133] + -1 * (vU_[20] + (vU_[95] * vU_[52]) / vU_[95])) / vU_[210];
+ vU_[3] = (vU_[24] * vU_[85] + vU_[102] * vU_[25] + vU_[103] * vU_[81] + vU_[165] * vU_[133] - vU_[216] * vU_[20]) / vU_[208];
+ vU_[25] = (vU_[101] * vU_[85] + vU_[24] * vU_[25] + 0.207 * vU_[86] + vU_[104] * vU_[81] + vU_[117] * vU_[133] - vU_[177] * vU_[3] - vU_[229] * vU_[20]) / vU_[183];
+ vU_[86] = (-1 * vU_[86] - vU_[192] * vU_[3] - vU_[32] * vU_[20] - vU_[205] * vU_[25]) / vU_[194];
+ vU_[85] = (vU_[212] * vU_[81] + vU_[48] * vU_[133] - vU_[232] * vU_[3] - vU_[209] * vU_[20] - vU_[233] * vU_[25] - vU_[90] * vU_[86]) / vU_[112];
+ vU_[133] = (vU_[101] * vU_[81] + vU_[34] * vU_[133] - vU_[213] * vU_[3] - vU_[193] * vU_[20] - vU_[226] * vU_[25] - vU_[236] * vU_[86] - vU_[98] * vU_[85]) / vU_[40];
+ jac[311] = - vU_[133];
+ vU_[85] = vU_[85] - vU_[169] * vU_[133];
+ jac[310] = - vU_[85];
+ vU_[86] = vU_[86] - vU_[230] * vU_[133] - vU_[171] * vU_[85];
+ jac[309] = - vU_[86];
+ vU_[25] = vU_[25] - vU_[59] * vU_[85] - vU_[149] * vU_[86] - vU_[199] * vU_[133];
+ jac[308] = - vU_[25];
+ vU_[3] = vU_[3] - vU_[113] * vU_[86] - vU_[186] * vU_[25] - vU_[176] * vU_[85] - vU_[137] * vU_[133];
+ jac[306] = vU_[128] * vU_[25] + vU_[238] * vU_[3] + vU_[54] * vU_[86] + vU_[237] * vU_[85] + vU_[120] * vU_[133] - vU_[20];
+ jac[307] = - vU_[3];
+ vU_[3] = -1 * jac[306];
+ vU_[25] = vU_[220] * jac[308] + vU_[141] * jac[307];
+ vU_[86] = vU_[141] * jac[308] + vU_[221] * jac[307];
+ vU_[85] = -1 * jac[309];
+ vU_[133] = 0.207 * jac[308] + vU_[85];
+ vU_[20] = vU_[33] * jac[308] + vU_[119] * jac[307] + vU_[218] * jac[306] + vU_[151] * jac[311] + vU_[217] * jac[310];
+ jac[312] = (0 - vU_[214] * vU_[3] - vU_[206] * vU_[25] - vU_[196] * vU_[86] - vU_[195] * vU_[133] - vU_[225] * (vU_[223] * jac[308] + vU_[222] * jac[307] + vU_[156] * jac[306] + vU_[220] * jac[311] + vU_[118] * jac[310]) - vU_[215] * vU_[20]) / vU_[214];
+ vU_[81] = -1 * vU_[25];
+ vU_[22] = vU_[3] + jac[312];
+ vU_[153] = vU_[178] * vU_[133] + vU_[15] * vU_[20] + vU_[28] * vU_[25];
+ vU_[20] = vU_[203] * vU_[133] + vU_[178] * vU_[20] + vU_[207] * vU_[25];
+ jac[313] = (0 - vU_[191] * vU_[81] - vU_[185] * (vU_[178] * vU_[22] + vU_[204] * vU_[86]) - vU_[190] * (vU_[203] * vU_[22] + vU_[178] * vU_[86]) - vU_[200] * vU_[153] - vU_[198] * vU_[20]) / vU_[191];
+ vU_[81] = vU_[81] + jac[313];
+ jac[314] = (0 - 0.1104774 * (vU_[179] * vU_[153] + vU_[170] * vU_[20] + vU_[91] * vU_[81]) - -0.0004405 * (vU_[181] * vU_[153] + vU_[179] * vU_[20] + vU_[184] * vU_[81]) - 0.026181 * vU_[81]) / 0.026181;
+ vU_[81] = vU_[159] * jac[308] + vU_[92] * jac[307];
+ vU_[20] = vU_[161] * jac[308] + vU_[159] * jac[307];
+ vU_[153] = 0.207 * jac[308] + jac[309];
+ vU_[22] = vU_[82] * jac[308] + vU_[152] * jac[307] + vU_[158] * jac[306] + vU_[93] * jac[311] + vU_[159] * jac[310];
+ jac[315] = (0 - vU_[154] * jac[306] - vU_[129] * vU_[81] - vU_[136] * vU_[20] - vU_[135] * vU_[153] - vU_[164] * (vU_[162] * jac[308] + vU_[160] * jac[307] + vU_[239] * jac[306] + vU_[159] * jac[311] + vU_[92] * jac[310]) - vU_[155] * vU_[22]) / vU_[154];
+ vU_[86] = jac[306] + jac[315];
+ vU_[133] = vU_[49] * vU_[153] + vU_[132] * vU_[22] + vU_[175] * vU_[81];
+ vU_[22] = vU_[143] * vU_[153] + vU_[77] * vU_[22] + vU_[148] * vU_[81];
+ jac[316] = (0 - vU_[131] * vU_[81] - vU_[125] * (vU_[126] * vU_[86] + vU_[144] * vU_[20]) - vU_[130] * (vU_[144] * vU_[86] + vU_[77] * vU_[20]) - vU_[140] * vU_[133] - vU_[138] * vU_[22]) / vU_[131];
+ vU_[81] = vU_[81] + jac[316];
+ jac[317] = (0 - 0.1104774 * (vU_[78] * vU_[133] + vU_[166] * vU_[22] + vU_[97] * vU_[81]) - -0.0004405 * (vU_[121] * vU_[133] + vU_[78] * vU_[22] + vU_[124] * vU_[81]) - 0.026181 * vU_[81]) / 0.026181;
+ vU_[81] = vU_[101] * jac[308] + vU_[24] * jac[307];
+ vU_[22] = vU_[24] * jac[308] + vU_[102] * jac[307];
+ vU_[85] = 0.207 * jac[308] + vU_[85];
+ vU_[133] = vU_[117] * jac[308] + vU_[165] * jac[307] + vU_[99] * jac[306] + vU_[34] * jac[311] + vU_[48] * jac[310];
+ jac[318] = (vU_[52] - vU_[95] * vU_[3] - vU_[83] * vU_[81] - vU_[71] * vU_[22] - vU_[70] * vU_[85] - vU_[106] * (vU_[104] * jac[308] + vU_[103] * jac[307] + vU_[58] * jac[306] + vU_[101] * jac[311] + vU_[212] * jac[310]) - vU_[96] * vU_[133]) / vU_[95];
+ vU_[52] = -1 * vU_[81];
+ vU_[3] = vU_[3] + jac[318];
+ vU_[86] = vU_[61] * vU_[85] + vU_[94] * vU_[133] + vU_[36] * vU_[81];
+ vU_[133] = vU_[79] * vU_[85] + vU_[61] * vU_[133] + vU_[88] * vU_[81];
+ jac[319] = (vU_[75] - vU_[66] * vU_[52] - 2.1e-05 * (vU_[61] * vU_[3] + vU_[80] * vU_[22]) - -0.000102 * (vU_[79] * vU_[3] + vU_[61] * vU_[22]) - vU_[76] * vU_[86] - vU_[73] * vU_[133]) / vU_[66];
+ vU_[52] = vU_[52] + jac[319];
+ jac[320] = (1 - 0.110125 * (vU_[64] * vU_[86] + vU_[147] * vU_[133] + vU_[35] * vU_[52]) - 0.000881 * (vU_[62] * vU_[86] + vU_[64] * vU_[133] + vU_[63] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[42] * jac[308] + vU_[0] * jac[307];
+ vU_[133] = vU_[44] * jac[308] + vU_[42] * jac[307];
+ vU_[86] = 0.207 * jac[308] + jac[309];
+ vU_[3] = vU_[11] * jac[308] + vU_[68] * jac[307] + vU_[41] * jac[306] + vU_[16] * jac[311] + vU_[42] * jac[310];
+ jac[321] = (0 - vU_[37] * jac[306] - vU_[12] * vU_[52] - vU_[19] * vU_[133] - vU_[18] * vU_[86] - vU_[47] * (vU_[45] * jac[308] + vU_[43] * jac[307] + vU_[157] * jac[306] + vU_[42] * jac[311] + vU_[0] * jac[310]) - vU_[38] * vU_[3]) / vU_[37];
+ vU_[22] = jac[306] + jac[321];
+ vU_[75] = vU_[189] * vU_[86] + vU_[139] * vU_[3] + vU_[142] * vU_[52];
+ vU_[3] = vU_[26] * vU_[86] + vU_[1] * vU_[3] + vU_[31] * vU_[52];
+ jac[322] = (0 - vU_[14] * vU_[52] - vU_[8] * (vU_[9] * vU_[22] + vU_[27] * vU_[133]) - vU_[13] * (vU_[27] * vU_[22] + vU_[1] * vU_[133]) - vU_[23] * vU_[75] - vU_[21] * vU_[3]) / vU_[14];
+ vU_[52] = vU_[52] + jac[322];
+ jac[323] = (0 - 0.1104774 * (vU_[2] * vU_[75] + vU_[111] * vU_[3] + vU_[107] * vU_[52]) - 0.0004405 * (vU_[4] * vU_[75] + vU_[2] * vU_[3] + vU_[7] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[12] / vU_[37];
+ vU_[3] = vU_[19] / vU_[37];
+ vU_[75] = vU_[18] / vU_[37];
+ vU_[22] = vU_[47] / vU_[37];
+ vU_[133] = vU_[38] / vU_[37];
+ vU_[86] = (vU_[37] / vU_[37] + vU_[157] * vU_[22] + vU_[41] * vU_[133]) / vU_[210];
+ vU_[85] = (vU_[0] * vU_[52] + vU_[42] * vU_[3] + vU_[43] * vU_[22] + vU_[68] * vU_[133] - vU_[216] * vU_[86]) / vU_[208];
+ vU_[3] = (vU_[42] * vU_[52] + vU_[44] * vU_[3] + 0.207 * vU_[75] + vU_[45] * vU_[22] + vU_[11] * vU_[133] - vU_[177] * vU_[85] - vU_[229] * vU_[86]) / vU_[183];
+ vU_[75] = (vU_[75] - vU_[192] * vU_[85] - vU_[32] * vU_[86] - vU_[205] * vU_[3]) / vU_[194];
+ vU_[52] = (vU_[0] * vU_[22] + vU_[42] * vU_[133] - vU_[232] * vU_[85] - vU_[209] * vU_[86] - vU_[233] * vU_[3] - vU_[90] * vU_[75]) / vU_[112];
+ vU_[133] = (vU_[42] * vU_[22] + vU_[16] * vU_[133] - vU_[213] * vU_[85] - vU_[193] * vU_[86] - vU_[226] * vU_[3] - vU_[236] * vU_[75] - vU_[98] * vU_[52]) / vU_[40];
+ jac[347] = - vU_[133];
+ vU_[52] = vU_[52] - vU_[169] * vU_[133];
+ jac[346] = - vU_[52];
+ vU_[75] = vU_[75] - vU_[230] * vU_[133] - vU_[171] * vU_[52];
+ jac[345] = - vU_[75];
+ vU_[3] = vU_[3] - vU_[59] * vU_[52] - vU_[149] * vU_[75] - vU_[199] * vU_[133];
+ jac[344] = - vU_[3];
+ vU_[85] = vU_[85] - vU_[113] * vU_[75] - vU_[186] * vU_[3] - vU_[176] * vU_[52] - vU_[137] * vU_[133];
+ jac[342] = vU_[128] * vU_[3] + vU_[238] * vU_[85] + vU_[54] * vU_[75] + vU_[237] * vU_[52] + vU_[120] * vU_[133] - vU_[86];
+ jac[343] = - vU_[85];
+ vU_[85] = -1 * jac[342];
+ vU_[3] = vU_[220] * jac[344] + vU_[141] * jac[343];
+ vU_[75] = vU_[141] * jac[344] + vU_[221] * jac[343];
+ vU_[52] = -1 * jac[345];
+ vU_[133] = 0.207 * jac[344] + vU_[52];
+ vU_[86] = vU_[33] * jac[344] + vU_[119] * jac[343] + vU_[218] * jac[342] + vU_[151] * jac[347] + vU_[217] * jac[346];
+ jac[348] = (0 - vU_[214] * vU_[85] - vU_[206] * vU_[3] - vU_[196] * vU_[75] - vU_[195] * vU_[133] - vU_[225] * (vU_[223] * jac[344] + vU_[222] * jac[343] + vU_[156] * jac[342] + vU_[220] * jac[347] + vU_[118] * jac[346]) - vU_[215] * vU_[86]) / vU_[214];
+ vU_[22] = -1 * vU_[3];
+ vU_[81] = vU_[85] + jac[348];
+ vU_[20] = vU_[178] * vU_[133] + vU_[15] * vU_[86] + vU_[28] * vU_[3];
+ vU_[86] = vU_[203] * vU_[133] + vU_[178] * vU_[86] + vU_[207] * vU_[3];
+ jac[349] = (0 - vU_[191] * vU_[22] - vU_[185] * (vU_[178] * vU_[81] + vU_[204] * vU_[75]) - vU_[190] * (vU_[203] * vU_[81] + vU_[178] * vU_[75]) - vU_[200] * vU_[20] - vU_[198] * vU_[86]) / vU_[191];
+ vU_[22] = vU_[22] + jac[349];
+ jac[350] = (0 - 0.1104774 * (vU_[179] * vU_[20] + vU_[170] * vU_[86] + vU_[91] * vU_[22]) - -0.0004405 * (vU_[181] * vU_[20] + vU_[179] * vU_[86] + vU_[184] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[159] * jac[344] + vU_[92] * jac[343];
+ vU_[86] = vU_[161] * jac[344] + vU_[159] * jac[343];
+ vU_[20] = 0.207 * jac[344] + jac[345];
+ vU_[81] = vU_[82] * jac[344] + vU_[152] * jac[343] + vU_[158] * jac[342] + vU_[93] * jac[347] + vU_[159] * jac[346];
+ jac[351] = (0 - vU_[154] * jac[342] - vU_[129] * vU_[22] - vU_[136] * vU_[86] - vU_[135] * vU_[20] - vU_[164] * (vU_[162] * jac[344] + vU_[160] * jac[343] + vU_[239] * jac[342] + vU_[159] * jac[347] + vU_[92] * jac[346]) - vU_[155] * vU_[81]) / vU_[154];
+ vU_[75] = jac[342] + jac[351];
+ vU_[133] = vU_[49] * vU_[20] + vU_[132] * vU_[81] + vU_[175] * vU_[22];
+ vU_[81] = vU_[143] * vU_[20] + vU_[77] * vU_[81] + vU_[148] * vU_[22];
+ jac[352] = (0 - vU_[131] * vU_[22] - vU_[125] * (vU_[126] * vU_[75] + vU_[144] * vU_[86]) - vU_[130] * (vU_[144] * vU_[75] + vU_[77] * vU_[86]) - vU_[140] * vU_[133] - vU_[138] * vU_[81]) / vU_[131];
+ vU_[22] = vU_[22] + jac[352];
+ jac[353] = (0 - 0.1104774 * (vU_[78] * vU_[133] + vU_[166] * vU_[81] + vU_[97] * vU_[22]) - -0.0004405 * (vU_[121] * vU_[133] + vU_[78] * vU_[81] + vU_[124] * vU_[22]) - 0.026181 * vU_[22]) / 0.026181;
+ vU_[22] = vU_[101] * jac[344] + vU_[24] * jac[343];
+ vU_[81] = vU_[24] * jac[344] + vU_[102] * jac[343];
+ vU_[52] = 0.207 * jac[344] + vU_[52];
+ vU_[133] = vU_[117] * jac[344] + vU_[165] * jac[343] + vU_[99] * jac[342] + vU_[34] * jac[347] + vU_[48] * jac[346];
+ jac[354] = (0 - vU_[95] * vU_[85] - vU_[83] * vU_[22] - vU_[71] * vU_[81] - vU_[70] * vU_[52] - vU_[106] * (vU_[104] * jac[344] + vU_[103] * jac[343] + vU_[58] * jac[342] + vU_[101] * jac[347] + vU_[212] * jac[346]) - vU_[96] * vU_[133]) / vU_[95];
+ vU_[75] = -1 * vU_[22];
+ vU_[85] = vU_[85] + jac[354];
+ vU_[86] = vU_[61] * vU_[52] + vU_[94] * vU_[133] + vU_[36] * vU_[22];
+ vU_[133] = vU_[79] * vU_[52] + vU_[61] * vU_[133] + vU_[88] * vU_[22];
+ jac[355] = (0 - vU_[66] * vU_[75] - 2.1e-05 * (vU_[61] * vU_[85] + vU_[80] * vU_[81]) - -0.000102 * (vU_[79] * vU_[85] + vU_[61] * vU_[81]) - vU_[76] * vU_[86] - vU_[73] * vU_[133]) / vU_[66];
+ vU_[75] = vU_[75] + jac[355];
+ jac[356] = (0 - 0.110125 * (vU_[64] * vU_[86] + vU_[147] * vU_[133] + vU_[35] * vU_[75]) - 0.000881 * (vU_[62] * vU_[86] + vU_[64] * vU_[133] + vU_[63] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[42] * jac[344] + vU_[0] * jac[343];
+ vU_[133] = vU_[44] * jac[344] + vU_[42] * jac[343];
+ vU_[86] = 0.207 * jac[344] + jac[345];
+ vU_[85] = vU_[11] * jac[344] + vU_[68] * jac[343] + vU_[41] * jac[342] + vU_[16] * jac[347] + vU_[42] * jac[346];
+ jac[357] = (1 - vU_[37] * jac[342] - vU_[12] * vU_[75] - vU_[19] * vU_[133] - vU_[18] * vU_[86] - vU_[47] * (vU_[45] * jac[344] + vU_[43] * jac[343] + vU_[157] * jac[342] + vU_[42] * jac[347] + vU_[0] * jac[346]) - vU_[38] * vU_[85]) / vU_[37];
+ vU_[81] = jac[342] + jac[357];
+ vU_[52] = vU_[189] * vU_[86] + vU_[139] * vU_[85] + vU_[142] * vU_[75];
+ vU_[85] = vU_[26] * vU_[86] + vU_[1] * vU_[85] + vU_[31] * vU_[75];
+ jac[358] = (0 - vU_[14] * vU_[75] - vU_[8] * (vU_[9] * vU_[81] + vU_[27] * vU_[133]) - vU_[13] * (vU_[27] * vU_[81] + vU_[1] * vU_[133]) - vU_[23] * vU_[52] - vU_[21] * vU_[85]) / vU_[14];
+ vU_[75] = vU_[75] + jac[358];
+ jac[359] = (0 - 0.1104774 * (vU_[2] * vU_[52] + vU_[111] * vU_[85] + vU_[107] * vU_[75]) - 0.0004405 * (vU_[4] * vU_[52] + vU_[2] * vU_[85] + vU_[7] * vU_[75]) - 0.026181 * vU_[75]) / 0.026181;
+ vU_[75] = vU_[23] / vU_[14];
+ vU_[85] = vU_[21] / vU_[14];
+ vU_[52] = vU_[8] / vU_[14];
+ vU_[81] = vU_[13] / vU_[14];
+ vU_[133] = vU_[9] * vU_[52] + vU_[27] * vU_[81];
+ vU_[86] = 0 - vU_[133];
+ vU_[22] = vU_[14] / vU_[14] + vU_[142] * vU_[75] + vU_[31] * vU_[85] + (vU_[12] * vU_[86]) / vU_[37];
+ vU_[81] = vU_[27] * vU_[52] + vU_[1] * vU_[81] + (vU_[19] * vU_[86]) / vU_[37];
+ vU_[52] = vU_[189] * vU_[75] + vU_[26] * vU_[85] + (vU_[18] * vU_[86]) / vU_[37];
+ vU_[20] = (vU_[47] * vU_[86]) / vU_[37];
+ vU_[85] = vU_[139] * vU_[75] + vU_[1] * vU_[85] + (vU_[38] * vU_[86]) / vU_[37];
+ vU_[133] = ((vU_[37] * vU_[86]) / vU_[37] + vU_[133] + vU_[157] * vU_[20] + vU_[41] * vU_[85]) / vU_[210];
+ vU_[75] = (vU_[0] * vU_[22] + vU_[42] * vU_[81] + vU_[43] * vU_[20] + vU_[68] * vU_[85] - vU_[216] * vU_[133]) / vU_[208];
+ vU_[81] = (vU_[42] * vU_[22] + vU_[44] * vU_[81] + 0.207 * vU_[52] + vU_[45] * vU_[20] + vU_[11] * vU_[85] - vU_[177] * vU_[75] - vU_[229] * vU_[133]) / vU_[183];
+ vU_[52] = (vU_[52] - vU_[192] * vU_[75] - vU_[32] * vU_[133] - vU_[205] * vU_[81]) / vU_[194];
+ vU_[22] = (vU_[0] * vU_[20] + vU_[42] * vU_[85] - vU_[232] * vU_[75] - vU_[209] * vU_[133] - vU_[233] * vU_[81] - vU_[90] * vU_[52]) / vU_[112];
+ vU_[85] = (vU_[42] * vU_[20] + vU_[16] * vU_[85] - vU_[213] * vU_[75] - vU_[193] * vU_[133] - vU_[226] * vU_[81] - vU_[236] * vU_[52] - vU_[98] * vU_[22]) / vU_[40];
+ jac[383] = - vU_[85];
+ vU_[22] = vU_[22] - vU_[169] * vU_[85];
+ jac[382] = - vU_[22];
+ vU_[52] = vU_[52] - vU_[230] * vU_[85] - vU_[171] * vU_[22];
+ jac[381] = - vU_[52];
+ vU_[81] = vU_[81] - vU_[59] * vU_[22] - vU_[149] * vU_[52] - vU_[199] * vU_[85];
+ jac[380] = - vU_[81];
+ vU_[75] = vU_[75] - vU_[113] * vU_[52] - vU_[186] * vU_[81] - vU_[176] * vU_[22] - vU_[137] * vU_[85];
+ jac[378] = vU_[128] * vU_[81] + vU_[238] * vU_[75] + vU_[54] * vU_[52] + vU_[237] * vU_[22] + vU_[120] * vU_[85] - vU_[133];
+ jac[379] = - vU_[75];
+ vU_[75] = -1 * jac[378];
+ vU_[81] = vU_[220] * jac[380] + vU_[141] * jac[379];
+ vU_[52] = vU_[141] * jac[380] + vU_[221] * jac[379];
+ vU_[22] = -1 * jac[381];
+ vU_[85] = 0.207 * jac[380] + vU_[22];
+ vU_[133] = vU_[33] * jac[380] + vU_[119] * jac[379] + vU_[218] * jac[378] + vU_[151] * jac[383] + vU_[217] * jac[382];
+ jac[384] = (0 - vU_[214] * vU_[75] - vU_[206] * vU_[81] - vU_[196] * vU_[52] - vU_[195] * vU_[85] - vU_[225] * (vU_[223] * jac[380] + vU_[222] * jac[379] + vU_[156] * jac[378] + vU_[220] * jac[383] + vU_[118] * jac[382]) - vU_[215] * vU_[133]) / vU_[214];
+ vU_[20] = -1 * vU_[81];
+ vU_[3] = vU_[75] + jac[384];
+ vU_[153] = vU_[178] * vU_[85] + vU_[15] * vU_[133] + vU_[28] * vU_[81];
+ vU_[133] = vU_[203] * vU_[85] + vU_[178] * vU_[133] + vU_[207] * vU_[81];
+ jac[385] = (0 - vU_[191] * vU_[20] - vU_[185] * (vU_[178] * vU_[3] + vU_[204] * vU_[52]) - vU_[190] * (vU_[203] * vU_[3] + vU_[178] * vU_[52]) - vU_[200] * vU_[153] - vU_[198] * vU_[133]) / vU_[191];
+ vU_[20] = vU_[20] + jac[385];
+ jac[386] = (0 - 0.1104774 * (vU_[179] * vU_[153] + vU_[170] * vU_[133] + vU_[91] * vU_[20]) - -0.0004405 * (vU_[181] * vU_[153] + vU_[179] * vU_[133] + vU_[184] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[159] * jac[380] + vU_[92] * jac[379];
+ vU_[133] = vU_[161] * jac[380] + vU_[159] * jac[379];
+ vU_[153] = 0.207 * jac[380] + jac[381];
+ vU_[3] = vU_[82] * jac[380] + vU_[152] * jac[379] + vU_[158] * jac[378] + vU_[93] * jac[383] + vU_[159] * jac[382];
+ jac[387] = (0 - vU_[154] * jac[378] - vU_[129] * vU_[20] - vU_[136] * vU_[133] - vU_[135] * vU_[153] - vU_[164] * (vU_[162] * jac[380] + vU_[160] * jac[379] + vU_[239] * jac[378] + vU_[159] * jac[383] + vU_[92] * jac[382]) - vU_[155] * vU_[3]) / vU_[154];
+ vU_[52] = jac[378] + jac[387];
+ vU_[85] = vU_[49] * vU_[153] + vU_[132] * vU_[3] + vU_[175] * vU_[20];
+ vU_[3] = vU_[143] * vU_[153] + vU_[77] * vU_[3] + vU_[148] * vU_[20];
+ jac[388] = (0 - vU_[131] * vU_[20] - vU_[125] * (vU_[126] * vU_[52] + vU_[144] * vU_[133]) - vU_[130] * (vU_[144] * vU_[52] + vU_[77] * vU_[133]) - vU_[140] * vU_[85] - vU_[138] * vU_[3]) / vU_[131];
+ vU_[20] = vU_[20] + jac[388];
+ jac[389] = (0 - 0.1104774 * (vU_[78] * vU_[85] + vU_[166] * vU_[3] + vU_[97] * vU_[20]) - -0.0004405 * (vU_[121] * vU_[85] + vU_[78] * vU_[3] + vU_[124] * vU_[20]) - 0.026181 * vU_[20]) / 0.026181;
+ vU_[20] = vU_[101] * jac[380] + vU_[24] * jac[379];
+ vU_[3] = vU_[24] * jac[380] + vU_[102] * jac[379];
+ vU_[22] = 0.207 * jac[380] + vU_[22];
+ vU_[85] = vU_[117] * jac[380] + vU_[165] * jac[379] + vU_[99] * jac[378] + vU_[34] * jac[383] + vU_[48] * jac[382];
+ jac[390] = (0 - vU_[95] * vU_[75] - vU_[83] * vU_[20] - vU_[71] * vU_[3] - vU_[70] * vU_[22] - vU_[106] * (vU_[104] * jac[380] + vU_[103] * jac[379] + vU_[58] * jac[378] + vU_[101] * jac[383] + vU_[212] * jac[382]) - vU_[96] * vU_[85]) / vU_[95];
+ vU_[52] = -1 * vU_[20];
+ vU_[75] = vU_[75] + jac[390];
+ vU_[133] = vU_[61] * vU_[22] + vU_[94] * vU_[85] + vU_[36] * vU_[20];
+ vU_[85] = vU_[79] * vU_[22] + vU_[61] * vU_[85] + vU_[88] * vU_[20];
+ jac[391] = (0 - vU_[66] * vU_[52] - 2.1e-05 * (vU_[61] * vU_[75] + vU_[80] * vU_[3]) - -0.000102 * (vU_[79] * vU_[75] + vU_[61] * vU_[3]) - vU_[76] * vU_[133] - vU_[73] * vU_[85]) / vU_[66];
+ vU_[52] = vU_[52] + jac[391];
+ jac[392] = (0 - 0.110125 * (vU_[64] * vU_[133] + vU_[147] * vU_[85] + vU_[35] * vU_[52]) - 0.000881 * (vU_[62] * vU_[133] + vU_[64] * vU_[85] + vU_[63] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = vU_[42] * jac[380] + vU_[0] * jac[379];
+ vU_[85] = vU_[44] * jac[380] + vU_[42] * jac[379];
+ vU_[133] = 0.207 * jac[380] + jac[381];
+ vU_[75] = vU_[11] * jac[380] + vU_[68] * jac[379] + vU_[41] * jac[378] + vU_[16] * jac[383] + vU_[42] * jac[382];
+ jac[393] = (vU_[86] - vU_[37] * jac[378] - vU_[12] * vU_[52] - vU_[19] * vU_[85] - vU_[18] * vU_[133] - vU_[47] * (vU_[45] * jac[380] + vU_[43] * jac[379] + vU_[157] * jac[378] + vU_[42] * jac[383] + vU_[0] * jac[382]) - vU_[38] * vU_[75]) / vU_[37];
+ vU_[86] = jac[378] + jac[393];
+ vU_[3] = vU_[189] * vU_[133] + vU_[139] * vU_[75] + vU_[142] * vU_[52];
+ vU_[75] = vU_[26] * vU_[133] + vU_[1] * vU_[75] + vU_[31] * vU_[52];
+ jac[394] = (1 - vU_[14] * vU_[52] - vU_[8] * (vU_[9] * vU_[86] + vU_[27] * vU_[85]) - vU_[13] * (vU_[27] * vU_[86] + vU_[1] * vU_[85]) - vU_[23] * vU_[3] - vU_[21] * vU_[75]) / vU_[14];
+ vU_[52] = vU_[52] + jac[394];
+ jac[395] = (0 - 0.1104774 * (vU_[2] * vU_[3] + vU_[111] * vU_[75] + vU_[107] * vU_[52]) - 0.0004405 * (vU_[4] * vU_[3] + vU_[2] * vU_[75] + vU_[7] * vU_[52]) - 0.026181 * vU_[52]) / 0.026181;
+ vU_[52] = 1 + vU_[107] * 4.21975478400367 + vU_[7] * 0.0168251785646079;
+ vU_[75] = 0 - vU_[52];
+ vU_[3] = vU_[2] * 4.21975478400367 + vU_[4] * 0.0168251785646079 + (vU_[23] * vU_[75]) / vU_[14];
+ vU_[86] = vU_[111] * 4.21975478400367 + vU_[2] * 0.0168251785646079 + (vU_[21] * vU_[75]) / vU_[14];
+ vU_[85] = (vU_[8] * vU_[75]) / vU_[14];
+ vU_[133] = (vU_[13] * vU_[75]) / vU_[14];
+ vU_[22] = vU_[9] * vU_[85] + vU_[27] * vU_[133];
+ vU_[20] = 0 - vU_[22];
+ vU_[52] = (vU_[14] * vU_[75]) / vU_[14] + vU_[52] + vU_[142] * vU_[3] + vU_[31] * vU_[86] + (vU_[12] * vU_[20]) / vU_[37];
+ vU_[133] = vU_[27] * vU_[85] + vU_[1] * vU_[133] + (vU_[19] * vU_[20]) / vU_[37];
+ vU_[85] = vU_[189] * vU_[3] + vU_[26] * vU_[86] + (vU_[18] * vU_[20]) / vU_[37];
+ vU_[153] = (vU_[47] * vU_[20]) / vU_[37];
+ vU_[86] = vU_[139] * vU_[3] + vU_[1] * vU_[86] + (vU_[38] * vU_[20]) / vU_[37];
+ vU_[22] = ((vU_[37] * vU_[20]) / vU_[37] + vU_[22] + vU_[157] * vU_[153] + vU_[41] * vU_[86]) / vU_[210];
+ vU_[208] = (vU_[0] * vU_[52] + vU_[42] * vU_[133] + vU_[43] * vU_[153] + vU_[68] * vU_[86] - vU_[216] * vU_[22]) / vU_[208];
+ vU_[133] = (vU_[42] * vU_[52] + vU_[44] * vU_[133] + 0.207 * vU_[85] + vU_[45] * vU_[153] + vU_[11] * vU_[86] - vU_[177] * vU_[208] - vU_[229] * vU_[22]) / vU_[183];
+ vU_[85] = (vU_[85] - vU_[192] * vU_[208] - vU_[32] * vU_[22] - vU_[205] * vU_[133]) / vU_[194];
+ vU_[112] = (vU_[0] * vU_[153] + vU_[42] * vU_[86] - vU_[232] * vU_[208] - vU_[209] * vU_[22] - vU_[233] * vU_[133] - vU_[90] * vU_[85]) / vU_[112];
+ vU_[86] = (vU_[42] * vU_[153] + vU_[16] * vU_[86] - vU_[213] * vU_[208] - vU_[193] * vU_[22] - vU_[226] * vU_[133] - vU_[236] * vU_[85] - vU_[98] * vU_[112]) / vU_[40];
+ jac[419] = - vU_[86];
+ vU_[112] = vU_[112] - vU_[169] * vU_[86];
+ jac[418] = - vU_[112];
+ vU_[85] = vU_[85] - vU_[230] * vU_[86] - vU_[171] * vU_[112];
+ jac[417] = - vU_[85];
+ vU_[133] = vU_[133] - vU_[59] * vU_[112] - vU_[149] * vU_[85] - vU_[199] * vU_[86];
+ jac[416] = - vU_[133];
+ vU_[208] = vU_[208] - vU_[113] * vU_[85] - vU_[186] * vU_[133] - vU_[176] * vU_[112] - vU_[137] * vU_[86];
+ jac[414] = vU_[128] * vU_[133] + vU_[238] * vU_[208] + vU_[54] * vU_[85] + vU_[237] * vU_[112] + vU_[120] * vU_[86] - vU_[22];
+ jac[415] = - vU_[208];
+ vU_[208] = -1 * jac[414];
+ vU_[133] = vU_[220] * jac[416] + vU_[141] * jac[415];
+ vU_[221] = vU_[141] * jac[416] + vU_[221] * jac[415];
+ vU_[141] = -1 * jac[417];
+ vU_[85] = 0.207 * jac[416] + vU_[141];
+ vU_[151] = vU_[33] * jac[416] + vU_[119] * jac[415] + vU_[218] * jac[414] + vU_[151] * jac[419] + vU_[217] * jac[418];
+ jac[420] = (0 - vU_[214] * vU_[208] - vU_[206] * vU_[133] - vU_[196] * vU_[221] - vU_[195] * vU_[85] - vU_[225] * (vU_[223] * jac[416] + vU_[222] * jac[415] + vU_[156] * jac[414] + vU_[220] * jac[419] + vU_[118] * jac[418]) - vU_[215] * vU_[151]) / vU_[214];
+ vU_[118] = -1 * vU_[133];
+ vU_[156] = vU_[208] + jac[420];
+ vU_[28] = vU_[178] * vU_[85] + vU_[15] * vU_[151] + vU_[28] * vU_[133];
+ vU_[151] = vU_[203] * vU_[85] + vU_[178] * vU_[151] + vU_[207] * vU_[133];
+ jac[421] = (0 - vU_[191] * vU_[118] - vU_[185] * (vU_[178] * vU_[156] + vU_[204] * vU_[221]) - vU_[190] * (vU_[203] * vU_[156] + vU_[178] * vU_[221]) - vU_[200] * vU_[28] - vU_[198] * vU_[151]) / vU_[191];
+ vU_[118] = vU_[118] + jac[421];
+ jac[422] = (0 - 0.1104774 * (vU_[179] * vU_[28] + vU_[170] * vU_[151] + vU_[91] * vU_[118]) - -0.0004405 * (vU_[181] * vU_[28] + vU_[179] * vU_[151] + vU_[184] * vU_[118]) - 0.026181 * vU_[118]) / 0.026181;
+ vU_[118] = vU_[159] * jac[416] + vU_[92] * jac[415];
+ vU_[161] = vU_[161] * jac[416] + vU_[159] * jac[415];
+ vU_[151] = 0.207 * jac[416] + jac[417];
+ vU_[93] = vU_[82] * jac[416] + vU_[152] * jac[415] + vU_[158] * jac[414] + vU_[93] * jac[419] + vU_[159] * jac[418];
+ jac[423] = (0 - vU_[154] * jac[414] - vU_[129] * vU_[118] - vU_[136] * vU_[161] - vU_[135] * vU_[151] - vU_[164] * (vU_[162] * jac[416] + vU_[160] * jac[415] + vU_[239] * jac[414] + vU_[159] * jac[419] + vU_[92] * jac[418]) - vU_[155] * vU_[93]) / vU_[154];
+ vU_[239] = jac[414] + jac[423];
+ vU_[175] = vU_[49] * vU_[151] + vU_[132] * vU_[93] + vU_[175] * vU_[118];
+ vU_[93] = vU_[143] * vU_[151] + vU_[77] * vU_[93] + vU_[148] * vU_[118];
+ jac[424] = (0 - vU_[131] * vU_[118] - vU_[125] * (vU_[126] * vU_[239] + vU_[144] * vU_[161]) - vU_[130] * (vU_[144] * vU_[239] + vU_[77] * vU_[161]) - vU_[140] * vU_[175] - vU_[138] * vU_[93]) / vU_[131];
+ vU_[118] = vU_[118] + jac[424];
+ jac[425] = (0 - 0.1104774 * (vU_[78] * vU_[175] + vU_[166] * vU_[93] + vU_[97] * vU_[118]) - -0.0004405 * (vU_[121] * vU_[175] + vU_[78] * vU_[93] + vU_[124] * vU_[118]) - 0.026181 * vU_[118]) / 0.026181;
+ vU_[118] = vU_[101] * jac[416] + vU_[24] * jac[415];
+ vU_[102] = vU_[24] * jac[416] + vU_[102] * jac[415];
+ vU_[141] = 0.207 * jac[416] + vU_[141];
+ vU_[48] = vU_[117] * jac[416] + vU_[165] * jac[415] + vU_[99] * jac[414] + vU_[34] * jac[419] + vU_[48] * jac[418];
+ jac[426] = (0 - vU_[95] * vU_[208] - vU_[83] * vU_[118] - vU_[71] * vU_[102] - vU_[70] * vU_[141] - vU_[106] * (vU_[104] * jac[416] + vU_[103] * jac[415] + vU_[58] * jac[414] + vU_[101] * jac[419] + vU_[212] * jac[418]) - vU_[96] * vU_[48]) / vU_[95];
+ vU_[212] = -1 * vU_[118];
+ vU_[208] = vU_[208] + jac[426];
+ vU_[36] = vU_[61] * vU_[141] + vU_[94] * vU_[48] + vU_[36] * vU_[118];
+ vU_[48] = vU_[79] * vU_[141] + vU_[61] * vU_[48] + vU_[88] * vU_[118];
+ jac[427] = (0 - vU_[66] * vU_[212] - 2.1e-05 * (vU_[61] * vU_[208] + vU_[80] * vU_[102]) - -0.000102 * (vU_[79] * vU_[208] + vU_[61] * vU_[102]) - vU_[76] * vU_[36] - vU_[73] * vU_[48]) / vU_[66];
+ vU_[212] = vU_[212] + jac[427];
+ jac[428] = (0 - 0.110125 * (vU_[64] * vU_[36] + vU_[147] * vU_[48] + vU_[35] * vU_[212]) - 0.000881 * (vU_[62] * vU_[36] + vU_[64] * vU_[48] + vU_[63] * vU_[212]) - 0.026181 * vU_[212]) / 0.026181;
+ vU_[212] = vU_[42] * jac[416] + vU_[0] * jac[415];
+ vU_[44] = vU_[44] * jac[416] + vU_[42] * jac[415];
+ vU_[48] = 0.207 * jac[416] + jac[417];
+ vU_[16] = vU_[11] * jac[416] + vU_[68] * jac[415] + vU_[41] * jac[414] + vU_[16] * jac[419] + vU_[42] * jac[418];
+ jac[429] = (vU_[20] - vU_[37] * jac[414] - vU_[12] * vU_[212] - vU_[19] * vU_[44] - vU_[18] * vU_[48] - vU_[47] * (vU_[45] * jac[416] + vU_[43] * jac[415] + vU_[157] * jac[414] + vU_[42] * jac[419] + vU_[0] * jac[418]) - vU_[38] * vU_[16]) / vU_[37];
+ vU_[20] = jac[414] + jac[429];
+ vU_[142] = vU_[189] * vU_[48] + vU_[139] * vU_[16] + vU_[142] * vU_[212];
+ vU_[16] = vU_[26] * vU_[48] + vU_[1] * vU_[16] + vU_[31] * vU_[212];
+ jac[430] = (vU_[75] - vU_[14] * vU_[212] - vU_[8] * (vU_[9] * vU_[20] + vU_[27] * vU_[44]) - vU_[13] * (vU_[27] * vU_[20] + vU_[1] * vU_[44]) - vU_[23] * vU_[142] - vU_[21] * vU_[16]) / vU_[14];
+ vU_[212] = vU_[212] + jac[430];
+ jac[431] = (1 - 0.1104774 * (vU_[2] * vU_[142] + vU_[111] * vU_[16] + vU_[107] * vU_[212]) - 0.0004405 * (vU_[4] * vU_[142] + vU_[2] * vU_[16] + vU_[7] * vU_[212]) - 0.026181 * vU_[212]) / 0.026181;
+
+
+ return dFdu_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.h b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.h
new file mode 100644
index 0000000..eb318b3
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.h
@@ -0,0 +1,63 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQWithContactModelLinearizedForward : public ct::core::LinearSystem<36, 12, double>
+{
+public:
+ typedef ct::core::LinearSystem<36, 12, double> Base;
+
+ typedef typename Base::state_vector_t state_vector_t;
+ typedef typename Base::control_vector_t control_vector_t;
+ typedef typename Base::state_matrix_t state_matrix_t;
+ typedef typename Base::state_control_matrix_t state_control_matrix_t;
+
+ HyQWithContactModelLinearizedForward(const ct::core::SYSTEM_TYPE& type = ct::core::SYSTEM_TYPE::GENERAL)
+ : ct::core::LinearSystem<36, 12>(type)
+ {
+ initialize();
+ }
+
+ HyQWithContactModelLinearizedForward(const HyQWithContactModelLinearizedForward& other) { initialize(); }
+ virtual ~HyQWithContactModelLinearizedForward(){};
+
+ virtual HyQWithContactModelLinearizedForward* clone() const override
+ {
+ return new HyQWithContactModelLinearizedForward;
+ }
+
+ virtual const state_matrix_t& getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+ virtual const state_control_matrix_t& getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const double t = double(0.0)) override;
+
+private:
+ void initialize()
+ {
+ dFdx_.setZero();
+ dFdu_.setZero();
+ vX_.fill(0.0);
+ vU_.fill(0.0);
+ }
+
+ state_matrix_t dFdx_;
+ state_control_matrix_t dFdu_;
+ std::array<double, 1697> vX_;
+ std::array<double, 240> vU_;
+};
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.cpp b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.cpp
new file mode 100644
index 0000000..7ee806e
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.cpp
@@ -0,0 +1,68696 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#include "HyQWithContactModelLinearizedReverse.h"
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+
+const HyQWithContactModelLinearizedReverse::state_matrix_t& HyQWithContactModelLinearizedReverse::getDerivativeState(
+ const ct::core::StateVector<36>& x,
+ const ct::core::ControlVector<12>& u,
+ const double t)
+{
+ double* jac = dFdx_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vX_[0] = 0 - x_in[21];
+ vX_[1] = 0.5 * x_in[0];
+ vX_[2] = cos(vX_[1]);
+ vX_[3] = 0.5 * x_in[1];
+ vX_[4] = cos(vX_[3]);
+ vX_[5] = vX_[2] * vX_[4];
+ vX_[6] = 0.5 * x_in[2];
+ jac[649] = sin(x_in[2]);
+ jac[685] = cos(x_in[2]);
+ vX_[7] = sin(vX_[6]);
+ vX_[8] = sin(vX_[1]);
+ vX_[9] = sin(vX_[3]);
+ vX_[10] = vX_[8] * vX_[9];
+ vX_[11] = cos(vX_[6]);
+ vX_[12] = vX_[5] * vX_[7] + vX_[10] * vX_[11];
+ vX_[13] = 2. * vX_[12];
+ vX_[14] = vX_[8] * vX_[4];
+ vX_[15] = vX_[2] * vX_[9];
+ vX_[16] = vX_[14] * vX_[11] + vX_[15] * vX_[7];
+ vX_[17] = 0 - x_in[22];
+ vX_[18] = vX_[5] * vX_[11] - vX_[10] * vX_[7];
+ vX_[0] = vX_[0] * vX_[13] + (vX_[0] * vX_[12] + x_in[23] * vX_[16] + vX_[17] * vX_[18]) * 2.;
+ vX_[19] = vX_[15] * vX_[11] - vX_[14] * vX_[7];
+ vX_[20] = 2. * vX_[19];
+ vX_[17] = vX_[17] * vX_[13] + x_in[23] * vX_[20];
+ vX_[21] = 0 - vX_[17];
+ vX_[22] = vX_[0] * vX_[11] + vX_[21] * vX_[7];
+ vX_[23] = 0 - x_in[21];
+ vX_[23] = vX_[23] * vX_[20] + (vX_[23] * vX_[19] + x_in[22] * vX_[16] + x_in[23] * vX_[18]) * 2.;
+ vX_[24] = 0 - vX_[23];
+ vX_[25] = x_in[23] * vX_[13] + x_in[22] * vX_[20];
+ vX_[26] = vX_[24] * vX_[7] + vX_[25] * vX_[11];
+ vX_[27] = cos(vX_[1]);
+ vX_[28] = vX_[23] * vX_[11] + vX_[25] * vX_[7];
+ vX_[29] = vX_[0] * vX_[7] + vX_[17] * vX_[11];
+ vX_[1] = sin(vX_[1]);
+ jac[3] = ((vX_[22] * vX_[9] + vX_[26] * vX_[4]) * vX_[27] - (vX_[28] * vX_[9] + vX_[29] * vX_[4]) * vX_[1]) * 0.5;
+ vX_[30] = 0 - x_in[22];
+ vX_[30] = vX_[30] * vX_[13] + (vX_[30] * vX_[12] + x_in[23] * vX_[19] + x_in[21] * vX_[18]) * 2.;
+ vX_[31] = 0 - x_in[23];
+ vX_[32] = 2. * vX_[16];
+ vX_[33] = x_in[21] * vX_[13] + vX_[31] * vX_[32];
+ vX_[34] = 0 - vX_[33];
+ vX_[35] = vX_[30] * vX_[11] + vX_[34] * vX_[7];
+ vX_[36] = x_in[23] * vX_[13] + x_in[21] * vX_[16] * 2.;
+ vX_[37] = 0 - vX_[36];
+ vX_[38] = 0 - x_in[22];
+ vX_[38] = x_in[21] * vX_[20] + vX_[38] * vX_[32] + (vX_[38] * vX_[16] + vX_[31] * vX_[18]) * 2.;
+ vX_[31] = vX_[37] * vX_[7] + vX_[38] * vX_[11];
+ vX_[39] = vX_[36] * vX_[11] + vX_[38] * vX_[7];
+ vX_[40] = vX_[30] * vX_[7] + vX_[33] * vX_[11];
+ jac[4] = ((vX_[35] * vX_[9] + vX_[31] * vX_[4]) * vX_[27] - (vX_[39] * vX_[9] + vX_[40] * vX_[4]) * vX_[1]) * 0.5;
+ vX_[41] = (x_in[22] * vX_[19] + x_in[21] * vX_[16]) * 2.;
+ vX_[42] = 0 - x_in[21];
+ vX_[43] = vX_[42] * vX_[20] + x_in[22] * vX_[32];
+ vX_[44] = 0 - vX_[43];
+ vX_[45] = vX_[41] * vX_[11] + vX_[44] * vX_[7];
+ vX_[46] = 0 - x_in[23];
+ vX_[46] = x_in[22] * vX_[13] + vX_[46] * vX_[20] + (vX_[46] * vX_[19] + vX_[42] * vX_[18]) * 2.;
+ vX_[42] = 0 - vX_[46];
+ vX_[47] = 0 - x_in[23];
+ vX_[47] = x_in[21] * vX_[13] + vX_[47] * vX_[32] + (vX_[47] * vX_[16] + x_in[22] * vX_[18]) * 2.;
+ vX_[48] = vX_[42] * vX_[7] + vX_[47] * vX_[11];
+ vX_[49] = vX_[46] * vX_[11] + vX_[47] * vX_[7];
+ vX_[11] = vX_[41] * vX_[7] + vX_[43] * vX_[11];
+ jac[5] = ((vX_[45] * vX_[9] + vX_[48] * vX_[4]) * vX_[27] - (vX_[49] * vX_[9] + vX_[11] * vX_[4]) * vX_[1]) * 0.5;
+ vX_[1] = cos(x_in[15]);
+ vX_[27] = 0.207 * vX_[1];
+ vX_[9] = sin(x_in[16]);
+ vX_[4] = 0 - vX_[9];
+ vX_[7] = cos(x_in[17]);
+ vX_[50] = -8.81e-05 * vX_[7];
+ vX_[51] = sin(x_in[17]);
+ vX_[52] = 0 - vX_[51];
+ vX_[53] = 8.81e-05 * vX_[52];
+ vX_[54] = 0.35 * vX_[51];
+ vX_[55] = 8.81e-05 * vX_[54];
+ vX_[56] = 2. * vX_[55];
+ vX_[57] = -0.35 * vX_[7];
+ vX_[58] = 0 - -8.81e-05 * vX_[57];
+ vX_[59] = 2. * vX_[58];
+ vX_[55] = 0 - vX_[55];
+ vX_[60] = -0.000102 + vX_[56] * vX_[52] + vX_[59] * vX_[7] - vX_[7] * vX_[58] - vX_[51] * vX_[55];
+ vX_[61] = -0.00185880198235362 * vX_[54] - 0.414812462825713 * vX_[57];
+ vX_[62] = 0.881 * vX_[57];
+ vX_[63] = -0.1104774 + vX_[62];
+ vX_[64] = vX_[61] + vX_[63];
+ vX_[65] = 0.880992588508842 * vX_[54] - -0.00185880198235362 * vX_[57];
+ vX_[66] = 0 - 0.881 * vX_[54];
+ vX_[67] = -0.0004405 + vX_[66];
+ vX_[68] = vX_[65] + vX_[67];
+ vX_[63] = 0 - vX_[63];
+ vX_[69] = vX_[51] * vX_[63] + vX_[7] * vX_[67];
+ vX_[70] = -0.0825825 + vX_[64] * vX_[52] + vX_[68] * vX_[7] - vX_[69];
+ vX_[71] = vX_[65] * vX_[54] - vX_[61] * vX_[57];
+ vX_[72] = 0.089871 + vX_[71];
+ vX_[73] = vX_[70] / vX_[72];
+ vX_[74] = vX_[50] * vX_[52] + vX_[53] * vX_[7] - vX_[60] * vX_[73];
+ vX_[75] = cos(x_in[16]);
+ vX_[76] = 0 - vX_[75];
+ vX_[77] = -8.81e-05 * vX_[51];
+ vX_[78] = 8.81e-05 * vX_[7];
+ vX_[79] = 2.1e-05 + vX_[56] * vX_[7] + vX_[59] * vX_[51] + vX_[52] * vX_[58] + vX_[7] * vX_[55];
+ vX_[80] = vX_[77] * vX_[52] + vX_[78] * vX_[7] - vX_[79] * vX_[73];
+ vX_[81] = vX_[4] * vX_[74] + vX_[76] * vX_[80];
+ vX_[82] = vX_[7] * vX_[63] + vX_[52] * vX_[67];
+ vX_[83] = 0.47422804 + vX_[64] * vX_[7] + vX_[68] * vX_[51] + vX_[82];
+ vX_[84] = vX_[83] / vX_[72];
+ vX_[85] = vX_[50] * vX_[7] + vX_[53] * vX_[51] - vX_[60] * vX_[84];
+ vX_[86] = vX_[77] * vX_[7] + vX_[78] * vX_[51] - vX_[79] * vX_[84];
+ vX_[87] = vX_[4] * vX_[85] + vX_[76] * vX_[86];
+ vX_[88] = vX_[81] * vX_[75] + vX_[87] * vX_[4];
+ vX_[89] = 0.08 * vX_[76];
+ vX_[90] = 4.027 * vX_[89];
+ vX_[82] = -0.47422804 - vX_[82];
+ vX_[91] = vX_[90] + vX_[82];
+ vX_[92] = 0 - vX_[91];
+ vX_[93] = 0.08 * vX_[9];
+ vX_[94] = 0 - 4.027 * vX_[93];
+ vX_[69] = 0.0825825 + vX_[69];
+ vX_[95] = vX_[94] + vX_[69];
+ vX_[96] = vX_[75] * vX_[92] + vX_[4] * vX_[95];
+ vX_[97] = 0.1466472 + vX_[96];
+ vX_[98] = -7.4114911576828e-06 * vX_[51] + -0.00185880198235362 * vX_[7];
+ vX_[99] = -0.00185880198235362 * vX_[51] + -0.466187537174287 * vX_[7];
+ vX_[100] = vX_[98] * vX_[51] + vX_[99] * vX_[7];
+ vX_[101] = 3.56080505133456 - vX_[100] - vX_[70] * vX_[73];
+ vX_[102] = vX_[99] * vX_[52] + vX_[98] * vX_[7] - vX_[70] * vX_[84];
+ vX_[103] = vX_[93] * vX_[101] - vX_[89] * vX_[102];
+ vX_[100] = 4.027 + vX_[100] - vX_[83] * vX_[84];
+ vX_[104] = vX_[93] * vX_[102] - vX_[89] * vX_[100];
+ vX_[105] = vX_[103] * vX_[93] - vX_[104] * vX_[89];
+ vX_[106] = 0.026409 + -0.2209548 * vX_[57] + vX_[62] * vX_[57] - vX_[71];
+ vX_[107] = 0.000468 - -0.000881 * vX_[54] - vX_[66] * vX_[54] - vX_[71];
+ vX_[108] = -0.0004405 * vX_[57] + vX_[66] * vX_[57] - -0.1104774 * vX_[54];
+ vX_[109] = vX_[51] * vX_[107] + vX_[7] * vX_[108];
+ vX_[110] = vX_[51] * vX_[108] + vX_[7] * vX_[106];
+ vX_[111] = vX_[109] * vX_[51] + vX_[110] * vX_[7];
+ vX_[112] = vX_[60] / vX_[72];
+ vX_[113] = 0.005495 + vX_[106] + vX_[107] + vX_[71] - vX_[111] - vX_[60] * vX_[112];
+ vX_[114] = 2. * vX_[69];
+ vX_[115] = vX_[113] - vX_[114] * vX_[93] - vX_[94] * vX_[93] - vX_[105];
+ vX_[116] = vX_[79] / vX_[72];
+ vX_[117] = -0.007418 + vX_[110] * vX_[52] + vX_[109] * vX_[7] - vX_[60] * vX_[116];
+ vX_[118] = vX_[117] + vX_[69] * vX_[89] + vX_[94] * vX_[89] - vX_[82] * vX_[93];
+ vX_[119] = vX_[4] * vX_[115] + vX_[76] * vX_[118];
+ vX_[120] = 2. * vX_[82];
+ vX_[111] = 0.087136 + vX_[71] + vX_[111] - vX_[79] * vX_[116];
+ vX_[71] = vX_[120] * vX_[89] + vX_[111] + vX_[90] * vX_[89] - vX_[105];
+ vX_[121] = vX_[4] * vX_[118] + vX_[76] * vX_[71];
+ vX_[122] = vX_[119] * vX_[4] + vX_[121] * vX_[76];
+ vX_[123] = 0.011033 + vX_[105] + vX_[122];
+ vX_[124] = vX_[97] / vX_[123];
+ vX_[125] = 0 - vX_[88] * vX_[124];
+ vX_[126] = sin(x_in[15]);
+ vX_[127] = 0.207 * vX_[126];
+ vX_[128] = 7.467 - vX_[97] * vX_[124];
+ vX_[129] = vX_[27] * vX_[125] - vX_[127] * vX_[128];
+ vX_[130] = vX_[101] - 4.027;
+ vX_[131] = vX_[4] * vX_[130] + vX_[76] * vX_[102];
+ vX_[132] = vX_[100] - 4.027;
+ vX_[133] = vX_[4] * vX_[102] + vX_[76] * vX_[132];
+ vX_[134] = vX_[131] * vX_[4] + vX_[133] * vX_[76];
+ vX_[135] = vX_[81] * vX_[4] + vX_[87] * vX_[76];
+ vX_[136] = vX_[135] / vX_[123];
+ vX_[137] = 7.467 + vX_[134] - vX_[135] * vX_[136];
+ vX_[138] = 0.3735 * vX_[126];
+ vX_[139] = 0 - vX_[1];
+ vX_[140] = -0.3735 * vX_[1];
+ vX_[141] = vX_[126] * vX_[138] + vX_[139] * vX_[140];
+ vX_[142] = vX_[133] * vX_[4] + vX_[131] * vX_[75] - vX_[88] * vX_[136];
+ vX_[143] = vX_[127] * vX_[137] - vX_[141] * vX_[142];
+ vX_[91] = vX_[104] + vX_[91];
+ vX_[144] = vX_[103] + vX_[95];
+ vX_[145] = vX_[74] * vX_[93] - vX_[85] * vX_[89];
+ vX_[146] = vX_[80] * vX_[93] - vX_[86] * vX_[89];
+ vX_[147] = 0 - vX_[146];
+ vX_[148] = -5.1e-05 + vX_[4] * vX_[145] + vX_[75] * vX_[147];
+ vX_[96] = -0.1466472 + vX_[91] * vX_[76] + vX_[144] * vX_[4] - vX_[96] - vX_[148] * vX_[136];
+ vX_[149] = vX_[143] + vX_[96];
+ vX_[150] = vX_[129] + vX_[149];
+ vX_[151] = vX_[88] / vX_[123];
+ vX_[134] = 7.467 + vX_[132] + vX_[130] - vX_[134] - vX_[88] * vX_[151];
+ vX_[152] = vX_[27] * vX_[134] - vX_[127] * vX_[125];
+ vX_[153] = 0 - vX_[97] * vX_[136];
+ vX_[154] = vX_[141] * vX_[153] - vX_[27] * vX_[137];
+ vX_[155] = vX_[75] * vX_[85] + vX_[4] * vX_[86];
+ vX_[156] = vX_[75] * vX_[74] + vX_[4] * vX_[80];
+ vX_[157] = -0.022734 + vX_[121] * vX_[4] + vX_[119] * vX_[75];
+ vX_[158] = vX_[155] * vX_[76] + vX_[156] * vX_[4] - vX_[157] * vX_[136];
+ vX_[159] = vX_[154] + vX_[158];
+ vX_[160] = vX_[152] + vX_[159];
+ vX_[149] = 0 - vX_[149];
+ vX_[161] = vX_[126] * vX_[149] + vX_[1] * vX_[159];
+ vX_[162] = vX_[150] * vX_[126] + vX_[160] * vX_[139] + vX_[161];
+ vX_[163] = cos(x_in[12]);
+ vX_[164] = -0.207 * vX_[163];
+ vX_[165] = -1 * vX_[164];
+ vX_[166] = sin(x_in[13]);
+ vX_[167] = sin(x_in[14]);
+ vX_[168] = 0.35 * vX_[167];
+ vX_[169] = cos(x_in[14]);
+ vX_[170] = -0.35 * vX_[169];
+ vX_[171] = -0.00370574557885489 * vX_[168] - 0.417781802643138 * vX_[170];
+ vX_[172] = 0.881 * vX_[170];
+ vX_[173] = -0.110125 + vX_[172];
+ vX_[174] = vX_[171] + vX_[173];
+ vX_[175] = 0 - vX_[167];
+ vX_[176] = 0.880970354035369 * vX_[168] - -0.00370574557885489 * vX_[170];
+ vX_[177] = 0 - 0.881 * vX_[168];
+ vX_[178] = -0.000881 + vX_[177];
+ vX_[179] = vX_[176] + vX_[178];
+ vX_[173] = 0 - vX_[173];
+ vX_[180] = vX_[167] * vX_[173] + vX_[169] * vX_[178];
+ vX_[181] = -0.0825825 + vX_[174] * vX_[175] + vX_[179] * vX_[169] - vX_[180];
+ vX_[182] = vX_[176] * vX_[168] - vX_[171] * vX_[170];
+ vX_[183] = 0.089871 + vX_[182];
+ vX_[184] = vX_[181] / vX_[183];
+ vX_[185] = 0 - -0.000102 * vX_[184];
+ vX_[186] = cos(x_in[13]);
+ vX_[187] = 0 - 2.1e-05 * vX_[184];
+ vX_[188] = vX_[166] * vX_[185] + vX_[186] * vX_[187];
+ vX_[189] = vX_[169] * vX_[173] + vX_[175] * vX_[178];
+ vX_[190] = 0.47422804 + vX_[174] * vX_[169] + vX_[179] * vX_[167] + vX_[189];
+ vX_[191] = vX_[190] / vX_[183];
+ vX_[192] = 0 - -0.000102 * vX_[191];
+ vX_[193] = 0 - 2.1e-05 * vX_[191];
+ vX_[194] = vX_[166] * vX_[192] + vX_[186] * vX_[193];
+ vX_[195] = 0 - vX_[166];
+ vX_[196] = vX_[188] * vX_[186] + vX_[194] * vX_[195];
+ vX_[197] = -0.08 * vX_[186];
+ vX_[198] = 4.027 * vX_[197];
+ vX_[189] = -0.47422804 - vX_[189];
+ vX_[199] = vX_[198] + vX_[189];
+ vX_[200] = 0 - vX_[199];
+ vX_[201] = -0.08 * vX_[166];
+ vX_[202] = -1 * vX_[201];
+ vX_[203] = 0 - 4.027 * vX_[202];
+ vX_[180] = 0.0825825 + vX_[180];
+ vX_[204] = vX_[203] + vX_[180];
+ vX_[205] = vX_[186] * vX_[200] + vX_[195] * vX_[204];
+ vX_[206] = 0.1466472 + vX_[205];
+ vX_[207] = -2.96459646308422e-05 * vX_[167] + -0.00370574557885489 * vX_[169];
+ vX_[208] = -0.00370574557885489 * vX_[167] + -0.463218197356862 * vX_[169];
+ vX_[209] = vX_[207] * vX_[167] + vX_[208] * vX_[169];
+ vX_[210] = 3.56375215667851 - vX_[209] - vX_[181] * vX_[184];
+ vX_[211] = vX_[208] * vX_[175] + vX_[207] * vX_[169] - vX_[181] * vX_[191];
+ vX_[212] = vX_[202] * vX_[210] - vX_[197] * vX_[211];
+ vX_[209] = 4.027 + vX_[209] - vX_[190] * vX_[191];
+ vX_[213] = vX_[202] * vX_[211] - vX_[197] * vX_[209];
+ vX_[214] = vX_[212] * vX_[202] - vX_[213] * vX_[197];
+ vX_[215] = 0.026409 + -0.22025 * vX_[170] + vX_[172] * vX_[170] - vX_[182];
+ vX_[216] = 0.000468 - -0.001762 * vX_[168] - vX_[177] * vX_[168] - vX_[182];
+ vX_[217] = -0.000881 * vX_[170] + vX_[177] * vX_[170] - -0.110125 * vX_[168];
+ vX_[218] = vX_[167] * vX_[216] + vX_[169] * vX_[217];
+ vX_[219] = vX_[167] * vX_[217] + vX_[169] * vX_[215];
+ vX_[220] = vX_[218] * vX_[167] + vX_[219] * vX_[169];
+ vX_[221] = -0.000102 / vX_[183];
+ vX_[222] = 0.005495 + vX_[215] + vX_[216] + vX_[182] - vX_[220] - -0.000102 * vX_[221];
+ vX_[223] = 2. * vX_[180];
+ vX_[224] = vX_[222] - vX_[223] * vX_[202] - vX_[203] * vX_[202] - vX_[214];
+ vX_[225] = 2.1e-05 / vX_[183];
+ vX_[226] = -0.007418 + vX_[219] * vX_[175] + vX_[218] * vX_[169] - -0.000102 * vX_[225];
+ vX_[227] = vX_[226] + vX_[180] * vX_[197] + vX_[203] * vX_[197] - vX_[189] * vX_[202];
+ vX_[228] = vX_[166] * vX_[224] + vX_[186] * vX_[227];
+ vX_[229] = 2. * vX_[189];
+ vX_[220] = 0.087136 + vX_[182] + vX_[220] - 2.1e-05 * vX_[225];
+ vX_[182] = vX_[229] * vX_[197] + vX_[220] + vX_[198] * vX_[197] - vX_[214];
+ vX_[230] = vX_[166] * vX_[227] + vX_[186] * vX_[182];
+ vX_[231] = vX_[228] * vX_[166] + vX_[230] * vX_[186];
+ vX_[232] = 0.011033 + vX_[214] + vX_[231];
+ vX_[233] = vX_[206] / vX_[232];
+ vX_[234] = 0 - vX_[196] * vX_[233];
+ vX_[235] = sin(x_in[12]);
+ vX_[236] = 0.207 * vX_[235];
+ vX_[237] = 7.467 - vX_[206] * vX_[233];
+ vX_[238] = vX_[165] * vX_[234] - vX_[236] * vX_[237];
+ vX_[239] = vX_[210] - 4.027;
+ vX_[240] = vX_[166] * vX_[239] + vX_[186] * vX_[211];
+ vX_[241] = vX_[209] - 4.027;
+ vX_[242] = vX_[166] * vX_[211] + vX_[186] * vX_[241];
+ vX_[243] = vX_[240] * vX_[166] + vX_[242] * vX_[186];
+ vX_[244] = vX_[188] * vX_[166] + vX_[194] * vX_[186];
+ vX_[245] = vX_[244] / vX_[232];
+ vX_[246] = 7.467 + vX_[243] - vX_[244] * vX_[245];
+ vX_[247] = 0 - vX_[235];
+ vX_[248] = 0.3735 * vX_[235];
+ vX_[249] = 0 - vX_[163];
+ vX_[250] = 0.3735 * vX_[163];
+ vX_[251] = vX_[247] * vX_[248] + vX_[249] * vX_[250];
+ vX_[252] = vX_[242] * vX_[195] + vX_[240] * vX_[186] - vX_[196] * vX_[245];
+ vX_[253] = vX_[236] * vX_[246] - vX_[251] * vX_[252];
+ vX_[199] = -1 * (vX_[213] + vX_[199]);
+ vX_[254] = -1 * (vX_[212] + vX_[204]);
+ vX_[255] = vX_[185] * vX_[202] - vX_[192] * vX_[197];
+ vX_[256] = vX_[187] * vX_[202] - vX_[193] * vX_[197];
+ vX_[257] = 0 - vX_[256];
+ vX_[258] = -5.1e-05 + vX_[195] * vX_[255] + vX_[186] * vX_[257];
+ vX_[205] = -0.1466472 + vX_[199] * vX_[186] + vX_[254] * vX_[166] - vX_[205] - vX_[258] * vX_[245];
+ vX_[259] = vX_[253] + vX_[205];
+ vX_[260] = -1 * (vX_[238] + vX_[259]);
+ vX_[261] = vX_[196] / vX_[232];
+ vX_[243] = 7.467 + vX_[241] + vX_[239] - vX_[243] - vX_[196] * vX_[261];
+ vX_[262] = vX_[165] * vX_[243] - vX_[236] * vX_[234];
+ vX_[263] = 0 - vX_[206] * vX_[245];
+ vX_[264] = vX_[251] * vX_[263] - vX_[165] * vX_[246];
+ vX_[265] = vX_[186] * vX_[192] + vX_[195] * vX_[193];
+ vX_[266] = vX_[186] * vX_[185] + vX_[195] * vX_[187];
+ vX_[267] = 0.022734 + vX_[230] * vX_[195] + vX_[228] * vX_[186];
+ vX_[268] = vX_[265] * vX_[186] + vX_[266] * vX_[166] - vX_[267] * vX_[245];
+ vX_[269] = vX_[264] + vX_[268];
+ vX_[270] = -1 * (vX_[262] + vX_[269]);
+ vX_[259] = 0 - vX_[259];
+ vX_[271] = vX_[247] * vX_[259] + vX_[249] * vX_[269];
+ vX_[272] = vX_[260] * vX_[235] + vX_[270] * vX_[249] + vX_[271];
+ vX_[273] = cos(x_in[9]);
+ vX_[274] = 0.207 * vX_[273];
+ vX_[275] = sin(x_in[10]);
+ vX_[276] = 0 - vX_[275];
+ vX_[277] = cos(x_in[11]);
+ vX_[278] = 8.81e-05 * vX_[277];
+ vX_[279] = sin(x_in[11]);
+ vX_[280] = 0 - vX_[279];
+ vX_[281] = -8.81e-05 * vX_[280];
+ vX_[282] = 0.35 * vX_[279];
+ vX_[283] = -8.81e-05 * vX_[282];
+ vX_[284] = 2. * vX_[283];
+ vX_[285] = -0.35 * vX_[277];
+ vX_[286] = 0 - 8.81e-05 * vX_[285];
+ vX_[287] = 2. * vX_[286];
+ vX_[283] = 0 - vX_[283];
+ vX_[288] = 0.000102 + vX_[284] * vX_[280] + vX_[287] * vX_[277] - vX_[277] * vX_[286] - vX_[279] * vX_[283];
+ vX_[289] = 0.00185880198235362 * vX_[282] - 0.414812462825713 * vX_[285];
+ vX_[290] = 0.881 * vX_[285];
+ vX_[291] = -0.1104774 + vX_[290];
+ vX_[292] = vX_[289] + vX_[291];
+ vX_[293] = 0.880992588508842 * vX_[282] - 0.00185880198235362 * vX_[285];
+ vX_[294] = 0 - 0.881 * vX_[282];
+ vX_[295] = 0.0004405 + vX_[294];
+ vX_[296] = vX_[293] + vX_[295];
+ vX_[291] = 0 - vX_[291];
+ vX_[297] = vX_[279] * vX_[291] + vX_[277] * vX_[295];
+ vX_[298] = 0.0825825 + vX_[292] * vX_[280] + vX_[296] * vX_[277] - vX_[297];
+ vX_[299] = vX_[293] * vX_[282] - vX_[289] * vX_[285];
+ vX_[300] = 0.089871 + vX_[299];
+ vX_[301] = vX_[298] / vX_[300];
+ vX_[302] = vX_[278] * vX_[280] + vX_[281] * vX_[277] - vX_[288] * vX_[301];
+ vX_[303] = cos(x_in[10]);
+ vX_[304] = 0 - vX_[303];
+ vX_[305] = 8.81e-05 * vX_[279];
+ vX_[306] = -8.81e-05 * vX_[277];
+ vX_[307] = 2.1e-05 + vX_[284] * vX_[277] + vX_[287] * vX_[279] + vX_[280] * vX_[286] + vX_[277] * vX_[283];
+ vX_[308] = vX_[305] * vX_[280] + vX_[306] * vX_[277] - vX_[307] * vX_[301];
+ vX_[309] = vX_[276] * vX_[302] + vX_[304] * vX_[308];
+ vX_[310] = vX_[277] * vX_[291] + vX_[280] * vX_[295];
+ vX_[311] = 0.47422804 + vX_[292] * vX_[277] + vX_[296] * vX_[279] + vX_[310];
+ vX_[312] = vX_[311] / vX_[300];
+ vX_[313] = vX_[278] * vX_[277] + vX_[281] * vX_[279] - vX_[288] * vX_[312];
+ vX_[314] = vX_[305] * vX_[277] + vX_[306] * vX_[279] - vX_[307] * vX_[312];
+ vX_[315] = vX_[276] * vX_[313] + vX_[304] * vX_[314];
+ vX_[316] = vX_[309] * vX_[303] + vX_[315] * vX_[276];
+ vX_[317] = 0.08 * vX_[304];
+ vX_[318] = 4.027 * vX_[317];
+ vX_[310] = -0.47422804 - vX_[310];
+ vX_[319] = vX_[318] + vX_[310];
+ vX_[320] = 0 - vX_[319];
+ vX_[321] = 0.08 * vX_[275];
+ vX_[322] = 0 - 4.027 * vX_[321];
+ vX_[297] = -0.0825825 + vX_[297];
+ vX_[323] = vX_[322] + vX_[297];
+ vX_[324] = vX_[303] * vX_[320] + vX_[276] * vX_[323];
+ vX_[325] = 0.1466472 + vX_[324];
+ vX_[326] = -7.4114911576828e-06 * vX_[279] + 0.00185880198235362 * vX_[277];
+ vX_[327] = 0.00185880198235362 * vX_[279] + -0.466187537174287 * vX_[277];
+ vX_[328] = vX_[326] * vX_[279] + vX_[327] * vX_[277];
+ vX_[329] = 3.56080505133456 - vX_[328] - vX_[298] * vX_[301];
+ vX_[330] = vX_[327] * vX_[280] + vX_[326] * vX_[277] - vX_[298] * vX_[312];
+ vX_[331] = vX_[321] * vX_[329] - vX_[317] * vX_[330];
+ vX_[328] = 4.027 + vX_[328] - vX_[311] * vX_[312];
+ vX_[332] = vX_[321] * vX_[330] - vX_[317] * vX_[328];
+ vX_[333] = vX_[331] * vX_[321] - vX_[332] * vX_[317];
+ vX_[334] = 0.026409 + -0.2209548 * vX_[285] + vX_[290] * vX_[285] - vX_[299];
+ vX_[335] = 0.000468 - 0.000881 * vX_[282] - vX_[294] * vX_[282] - vX_[299];
+ vX_[336] = 0.0004405 * vX_[285] + vX_[294] * vX_[285] - -0.1104774 * vX_[282];
+ vX_[337] = vX_[279] * vX_[335] + vX_[277] * vX_[336];
+ vX_[338] = vX_[279] * vX_[336] + vX_[277] * vX_[334];
+ vX_[339] = vX_[337] * vX_[279] + vX_[338] * vX_[277];
+ vX_[340] = vX_[288] / vX_[300];
+ vX_[341] = 0.005495 + vX_[334] + vX_[335] + vX_[299] - vX_[339] - vX_[288] * vX_[340];
+ vX_[342] = 2. * vX_[297];
+ vX_[343] = vX_[341] - vX_[342] * vX_[321] - vX_[322] * vX_[321] - vX_[333];
+ vX_[344] = vX_[307] / vX_[300];
+ vX_[345] = 0.007418 + vX_[338] * vX_[280] + vX_[337] * vX_[277] - vX_[288] * vX_[344];
+ vX_[346] = vX_[345] + vX_[297] * vX_[317] + vX_[322] * vX_[317] - vX_[310] * vX_[321];
+ vX_[347] = vX_[276] * vX_[343] + vX_[304] * vX_[346];
+ vX_[348] = 2. * vX_[310];
+ vX_[339] = 0.087136 + vX_[299] + vX_[339] - vX_[307] * vX_[344];
+ vX_[299] = vX_[348] * vX_[317] + vX_[339] + vX_[318] * vX_[317] - vX_[333];
+ vX_[349] = vX_[276] * vX_[346] + vX_[304] * vX_[299];
+ vX_[350] = vX_[347] * vX_[276] + vX_[349] * vX_[304];
+ vX_[351] = 0.011033 + vX_[333] + vX_[350];
+ vX_[352] = vX_[325] / vX_[351];
+ vX_[353] = 0 - vX_[316] * vX_[352];
+ vX_[354] = sin(x_in[9]);
+ vX_[355] = 0.207 * vX_[354];
+ vX_[356] = 7.467 - vX_[325] * vX_[352];
+ vX_[357] = vX_[274] * vX_[353] - vX_[355] * vX_[356];
+ vX_[358] = vX_[329] - 4.027;
+ vX_[359] = vX_[276] * vX_[358] + vX_[304] * vX_[330];
+ vX_[360] = vX_[328] - 4.027;
+ vX_[361] = vX_[276] * vX_[330] + vX_[304] * vX_[360];
+ vX_[362] = vX_[359] * vX_[276] + vX_[361] * vX_[304];
+ vX_[363] = vX_[309] * vX_[276] + vX_[315] * vX_[304];
+ vX_[364] = vX_[363] / vX_[351];
+ vX_[365] = 7.467 + vX_[362] - vX_[363] * vX_[364];
+ vX_[366] = -0.3735 * vX_[354];
+ vX_[367] = 0 - vX_[273];
+ vX_[368] = 0.3735 * vX_[273];
+ vX_[369] = vX_[354] * vX_[366] + vX_[367] * vX_[368];
+ vX_[370] = vX_[361] * vX_[276] + vX_[359] * vX_[303] - vX_[316] * vX_[364];
+ vX_[371] = vX_[355] * vX_[365] - vX_[369] * vX_[370];
+ vX_[319] = vX_[332] + vX_[319];
+ vX_[372] = vX_[331] + vX_[323];
+ vX_[373] = vX_[302] * vX_[321] - vX_[313] * vX_[317];
+ vX_[374] = vX_[308] * vX_[321] - vX_[314] * vX_[317];
+ vX_[375] = 0 - vX_[374];
+ vX_[376] = -5.1e-05 + vX_[276] * vX_[373] + vX_[303] * vX_[375];
+ vX_[324] = -0.1466472 + vX_[319] * vX_[304] + vX_[372] * vX_[276] - vX_[324] - vX_[376] * vX_[364];
+ vX_[377] = vX_[371] + vX_[324];
+ vX_[378] = vX_[357] + vX_[377];
+ vX_[379] = vX_[316] / vX_[351];
+ vX_[362] = 7.467 + vX_[360] + vX_[358] - vX_[362] - vX_[316] * vX_[379];
+ vX_[380] = vX_[274] * vX_[362] - vX_[355] * vX_[353];
+ vX_[381] = 0 - vX_[325] * vX_[364];
+ vX_[382] = vX_[369] * vX_[381] - vX_[274] * vX_[365];
+ vX_[383] = vX_[303] * vX_[313] + vX_[276] * vX_[314];
+ vX_[384] = vX_[303] * vX_[302] + vX_[276] * vX_[308];
+ vX_[385] = 0.022734 + vX_[349] * vX_[276] + vX_[347] * vX_[303];
+ vX_[386] = vX_[383] * vX_[304] + vX_[384] * vX_[276] - vX_[385] * vX_[364];
+ vX_[387] = vX_[382] + vX_[386];
+ vX_[388] = vX_[380] + vX_[387];
+ vX_[377] = 0 - vX_[377];
+ vX_[389] = vX_[354] * vX_[377] + vX_[273] * vX_[387];
+ vX_[390] = vX_[378] * vX_[354] + vX_[388] * vX_[367] + vX_[389];
+ vX_[391] = cos(x_in[6]);
+ vX_[392] = -0.207 * vX_[391];
+ vX_[393] = -1 * vX_[392];
+ vX_[394] = sin(x_in[7]);
+ vX_[395] = cos(x_in[8]);
+ vX_[396] = 8.81e-05 * vX_[395];
+ vX_[397] = sin(x_in[8]);
+ vX_[398] = 0 - vX_[397];
+ vX_[399] = -8.81e-05 * vX_[398];
+ vX_[400] = 0.35 * vX_[397];
+ vX_[401] = -8.81e-05 * vX_[400];
+ vX_[402] = 2. * vX_[401];
+ vX_[403] = -0.35 * vX_[395];
+ vX_[404] = 0 - 8.81e-05 * vX_[403];
+ vX_[405] = 2. * vX_[404];
+ vX_[401] = 0 - vX_[401];
+ vX_[406] = 0.000102 + vX_[402] * vX_[398] + vX_[405] * vX_[395] - vX_[395] * vX_[404] - vX_[397] * vX_[401];
+ vX_[407] = 0.00185880198235362 * vX_[400] - 0.414812462825713 * vX_[403];
+ vX_[408] = 0.881 * vX_[403];
+ vX_[409] = -0.1104774 + vX_[408];
+ vX_[410] = vX_[407] + vX_[409];
+ vX_[411] = 0.880992588508842 * vX_[400] - 0.00185880198235362 * vX_[403];
+ vX_[412] = 0 - 0.881 * vX_[400];
+ vX_[413] = 0.0004405 + vX_[412];
+ vX_[414] = vX_[411] + vX_[413];
+ vX_[409] = 0 - vX_[409];
+ vX_[415] = vX_[397] * vX_[409] + vX_[395] * vX_[413];
+ vX_[416] = 0.0825825 + vX_[410] * vX_[398] + vX_[414] * vX_[395] - vX_[415];
+ vX_[417] = vX_[411] * vX_[400] - vX_[407] * vX_[403];
+ vX_[418] = 0.089871 + vX_[417];
+ vX_[419] = vX_[416] / vX_[418];
+ vX_[420] = vX_[396] * vX_[398] + vX_[399] * vX_[395] - vX_[406] * vX_[419];
+ vX_[421] = cos(x_in[7]);
+ vX_[422] = 8.81e-05 * vX_[397];
+ vX_[423] = -8.81e-05 * vX_[395];
+ vX_[424] = 2.1e-05 + vX_[402] * vX_[395] + vX_[405] * vX_[397] + vX_[398] * vX_[404] + vX_[395] * vX_[401];
+ vX_[425] = vX_[422] * vX_[398] + vX_[423] * vX_[395] - vX_[424] * vX_[419];
+ vX_[426] = vX_[394] * vX_[420] + vX_[421] * vX_[425];
+ vX_[427] = vX_[395] * vX_[409] + vX_[398] * vX_[413];
+ vX_[428] = 0.47422804 + vX_[410] * vX_[395] + vX_[414] * vX_[397] + vX_[427];
+ vX_[429] = vX_[428] / vX_[418];
+ vX_[430] = vX_[396] * vX_[395] + vX_[399] * vX_[397] - vX_[406] * vX_[429];
+ vX_[431] = vX_[422] * vX_[395] + vX_[423] * vX_[397] - vX_[424] * vX_[429];
+ vX_[432] = vX_[394] * vX_[430] + vX_[421] * vX_[431];
+ vX_[433] = 0 - vX_[394];
+ vX_[434] = vX_[426] * vX_[421] + vX_[432] * vX_[433];
+ vX_[435] = -0.08 * vX_[421];
+ vX_[436] = 4.027 * vX_[435];
+ vX_[427] = -0.47422804 - vX_[427];
+ vX_[437] = vX_[436] + vX_[427];
+ vX_[438] = 0 - vX_[437];
+ vX_[439] = -0.08 * vX_[394];
+ vX_[440] = -1 * vX_[439];
+ vX_[441] = 0 - 4.027 * vX_[440];
+ vX_[415] = -0.0825825 + vX_[415];
+ vX_[442] = vX_[441] + vX_[415];
+ vX_[443] = vX_[421] * vX_[438] + vX_[433] * vX_[442];
+ vX_[444] = 0.1466472 + vX_[443];
+ vX_[445] = -7.4114911576828e-06 * vX_[397] + 0.00185880198235362 * vX_[395];
+ vX_[446] = 0.00185880198235362 * vX_[397] + -0.466187537174287 * vX_[395];
+ vX_[447] = vX_[445] * vX_[397] + vX_[446] * vX_[395];
+ vX_[448] = 3.56080505133456 - vX_[447] - vX_[416] * vX_[419];
+ vX_[449] = vX_[446] * vX_[398] + vX_[445] * vX_[395] - vX_[416] * vX_[429];
+ vX_[450] = vX_[440] * vX_[448] - vX_[435] * vX_[449];
+ vX_[447] = 4.027 + vX_[447] - vX_[428] * vX_[429];
+ vX_[451] = vX_[440] * vX_[449] - vX_[435] * vX_[447];
+ vX_[452] = vX_[450] * vX_[440] - vX_[451] * vX_[435];
+ vX_[453] = 0.026409 + -0.2209548 * vX_[403] + vX_[408] * vX_[403] - vX_[417];
+ vX_[454] = 0.000468 - 0.000881 * vX_[400] - vX_[412] * vX_[400] - vX_[417];
+ vX_[455] = 0.0004405 * vX_[403] + vX_[412] * vX_[403] - -0.1104774 * vX_[400];
+ vX_[456] = vX_[397] * vX_[454] + vX_[395] * vX_[455];
+ vX_[457] = vX_[397] * vX_[455] + vX_[395] * vX_[453];
+ vX_[458] = vX_[456] * vX_[397] + vX_[457] * vX_[395];
+ vX_[459] = vX_[406] / vX_[418];
+ vX_[460] = 0.005495 + vX_[453] + vX_[454] + vX_[417] - vX_[458] - vX_[406] * vX_[459];
+ vX_[461] = 2. * vX_[415];
+ vX_[462] = vX_[460] - vX_[461] * vX_[440] - vX_[441] * vX_[440] - vX_[452];
+ vX_[463] = vX_[424] / vX_[418];
+ vX_[464] = 0.007418 + vX_[457] * vX_[398] + vX_[456] * vX_[395] - vX_[406] * vX_[463];
+ vX_[465] = vX_[464] + vX_[415] * vX_[435] + vX_[441] * vX_[435] - vX_[427] * vX_[440];
+ vX_[466] = vX_[394] * vX_[462] + vX_[421] * vX_[465];
+ vX_[467] = 2. * vX_[427];
+ vX_[458] = 0.087136 + vX_[417] + vX_[458] - vX_[424] * vX_[463];
+ vX_[417] = vX_[467] * vX_[435] + vX_[458] + vX_[436] * vX_[435] - vX_[452];
+ vX_[468] = vX_[394] * vX_[465] + vX_[421] * vX_[417];
+ vX_[469] = vX_[466] * vX_[394] + vX_[468] * vX_[421];
+ vX_[470] = 0.011033 + vX_[452] + vX_[469];
+ vX_[471] = vX_[444] / vX_[470];
+ vX_[472] = 0 - vX_[434] * vX_[471];
+ vX_[473] = sin(x_in[6]);
+ vX_[474] = 0.207 * vX_[473];
+ vX_[475] = 7.467 - vX_[444] * vX_[471];
+ vX_[476] = vX_[393] * vX_[472] - vX_[474] * vX_[475];
+ vX_[477] = vX_[448] - 4.027;
+ vX_[478] = vX_[394] * vX_[477] + vX_[421] * vX_[449];
+ vX_[479] = vX_[447] - 4.027;
+ vX_[480] = vX_[394] * vX_[449] + vX_[421] * vX_[479];
+ vX_[481] = vX_[478] * vX_[394] + vX_[480] * vX_[421];
+ vX_[482] = vX_[426] * vX_[394] + vX_[432] * vX_[421];
+ vX_[483] = vX_[482] / vX_[470];
+ vX_[484] = 7.467 + vX_[481] - vX_[482] * vX_[483];
+ vX_[485] = 0 - vX_[473];
+ vX_[486] = -0.3735 * vX_[473];
+ vX_[487] = 0 - vX_[391];
+ vX_[488] = -0.3735 * vX_[391];
+ vX_[489] = vX_[485] * vX_[486] + vX_[487] * vX_[488];
+ vX_[490] = vX_[480] * vX_[433] + vX_[478] * vX_[421] - vX_[434] * vX_[483];
+ vX_[491] = vX_[474] * vX_[484] - vX_[489] * vX_[490];
+ vX_[437] = -1 * (vX_[451] + vX_[437]);
+ vX_[492] = -1 * (vX_[450] + vX_[442]);
+ vX_[493] = vX_[420] * vX_[440] - vX_[430] * vX_[435];
+ vX_[494] = vX_[425] * vX_[440] - vX_[431] * vX_[435];
+ vX_[495] = 0 - vX_[494];
+ vX_[496] = -5.1e-05 + vX_[433] * vX_[493] + vX_[421] * vX_[495];
+ vX_[443] = -0.1466472 + vX_[437] * vX_[421] + vX_[492] * vX_[394] - vX_[443] - vX_[496] * vX_[483];
+ vX_[497] = vX_[491] + vX_[443];
+ vX_[498] = -1 * (vX_[476] + vX_[497]);
+ vX_[499] = vX_[434] / vX_[470];
+ vX_[481] = 7.467 + vX_[479] + vX_[477] - vX_[481] - vX_[434] * vX_[499];
+ vX_[500] = vX_[393] * vX_[481] - vX_[474] * vX_[472];
+ vX_[501] = 0 - vX_[444] * vX_[483];
+ vX_[502] = vX_[489] * vX_[501] - vX_[393] * vX_[484];
+ vX_[503] = vX_[421] * vX_[430] + vX_[433] * vX_[431];
+ vX_[504] = vX_[421] * vX_[420] + vX_[433] * vX_[425];
+ vX_[505] = -0.022734 + vX_[468] * vX_[433] + vX_[466] * vX_[421];
+ vX_[506] = vX_[503] * vX_[421] + vX_[504] * vX_[394] - vX_[505] * vX_[483];
+ vX_[507] = vX_[502] + vX_[506];
+ vX_[508] = -1 * (vX_[500] + vX_[507]);
+ vX_[497] = 0 - vX_[497];
+ vX_[509] = vX_[485] * vX_[497] + vX_[487] * vX_[507];
+ vX_[510] = vX_[498] * vX_[473] + vX_[508] * vX_[487] + vX_[509];
+ vX_[511] = 2. * vX_[96];
+ vX_[512] = vX_[148] / vX_[123];
+ vX_[513] = 0.144171 + vX_[105] - vX_[148] * vX_[512];
+ vX_[514] = vX_[4] * vX_[92] + vX_[76] * vX_[95];
+ vX_[515] = 0.5824264 + vX_[91] * vX_[4] + vX_[144] * vX_[75] + vX_[514] - vX_[148] * vX_[151];
+ vX_[516] = 2. * vX_[515];
+ vX_[517] = vX_[127] * vX_[142] - vX_[141] * vX_[134];
+ vX_[518] = vX_[152] * vX_[27] - vX_[129] * vX_[127];
+ vX_[519] =
+ vX_[511] * vX_[127] + vX_[513] + vX_[143] * vX_[127] - vX_[516] * vX_[141] - vX_[517] * vX_[141] - vX_[518];
+ vX_[514] = -0.5824264 - vX_[514] - vX_[157] * vX_[124];
+ vX_[520] = 2. * vX_[514];
+ vX_[521] = vX_[157] / vX_[123];
+ vX_[122] = 0.134705 + vX_[71] + vX_[115] + vX_[105] - vX_[122] - vX_[157] * vX_[521];
+ vX_[105] = vX_[141] * vX_[128] - vX_[27] * vX_[153];
+ vX_[522] = 2. * vX_[158];
+ vX_[523] =
+ vX_[520] * vX_[141] + vX_[122] + vX_[105] * vX_[141] - vX_[522] * vX_[27] - vX_[154] * vX_[27] - vX_[518];
+ vX_[524] = 2. * vX_[205];
+ vX_[525] = vX_[258] / vX_[232];
+ vX_[526] = 0.144171 + vX_[214] - vX_[258] * vX_[525];
+ vX_[527] = vX_[166] * vX_[200] + vX_[186] * vX_[204];
+ vX_[528] = -0.5824264 + vX_[199] * vX_[195] + vX_[254] * vX_[186] + vX_[527] - vX_[258] * vX_[261];
+ vX_[529] = 2. * vX_[528];
+ vX_[530] = vX_[236] * vX_[252] - vX_[251] * vX_[243];
+ vX_[531] = vX_[262] * vX_[165] - vX_[238] * vX_[236];
+ vX_[532] =
+ vX_[524] * vX_[236] + vX_[526] + vX_[253] * vX_[236] - vX_[529] * vX_[251] - vX_[530] * vX_[251] - vX_[531];
+ vX_[527] = 0.5824264 - vX_[527] - vX_[267] * vX_[233];
+ vX_[533] = 2. * vX_[527];
+ vX_[534] = vX_[267] / vX_[232];
+ vX_[231] = 0.134705 + vX_[182] + vX_[224] + vX_[214] - vX_[231] - vX_[267] * vX_[534];
+ vX_[214] = vX_[251] * vX_[237] - vX_[165] * vX_[263];
+ vX_[535] = 2. * vX_[268];
+ vX_[536] =
+ vX_[533] * vX_[251] + vX_[231] + vX_[214] * vX_[251] - vX_[535] * vX_[165] - vX_[264] * vX_[165] - vX_[531];
+ vX_[537] = 2. * vX_[324];
+ vX_[538] = vX_[376] / vX_[351];
+ vX_[539] = 0.144171 + vX_[333] - vX_[376] * vX_[538];
+ vX_[540] = vX_[276] * vX_[320] + vX_[304] * vX_[323];
+ vX_[541] = -0.5824264 + vX_[319] * vX_[276] + vX_[372] * vX_[303] + vX_[540] - vX_[376] * vX_[379];
+ vX_[542] = 2. * vX_[541];
+ vX_[543] = vX_[355] * vX_[370] - vX_[369] * vX_[362];
+ vX_[544] = vX_[380] * vX_[274] - vX_[357] * vX_[355];
+ vX_[545] =
+ vX_[537] * vX_[355] + vX_[539] + vX_[371] * vX_[355] - vX_[542] * vX_[369] - vX_[543] * vX_[369] - vX_[544];
+ vX_[540] = 0.5824264 - vX_[540] - vX_[385] * vX_[352];
+ vX_[546] = 2. * vX_[540];
+ vX_[547] = vX_[385] / vX_[351];
+ vX_[350] = 0.134705 + vX_[299] + vX_[343] + vX_[333] - vX_[350] - vX_[385] * vX_[547];
+ vX_[333] = vX_[369] * vX_[356] - vX_[274] * vX_[381];
+ vX_[548] = 2. * vX_[386];
+ vX_[549] =
+ vX_[546] * vX_[369] + vX_[350] + vX_[333] * vX_[369] - vX_[548] * vX_[274] - vX_[382] * vX_[274] - vX_[544];
+ vX_[550] = 2. * vX_[443];
+ vX_[551] = vX_[496] / vX_[470];
+ vX_[552] = 0.144171 + vX_[452] - vX_[496] * vX_[551];
+ vX_[553] = vX_[394] * vX_[438] + vX_[421] * vX_[442];
+ vX_[554] = 0.5824264 + vX_[437] * vX_[433] + vX_[492] * vX_[421] + vX_[553] - vX_[496] * vX_[499];
+ vX_[555] = 2. * vX_[554];
+ vX_[556] = vX_[474] * vX_[490] - vX_[489] * vX_[481];
+ vX_[557] = vX_[500] * vX_[393] - vX_[476] * vX_[474];
+ vX_[558] =
+ vX_[550] * vX_[474] + vX_[552] + vX_[491] * vX_[474] - vX_[555] * vX_[489] - vX_[556] * vX_[489] - vX_[557];
+ vX_[553] = -0.5824264 - vX_[553] - vX_[505] * vX_[471];
+ vX_[559] = 2. * vX_[553];
+ vX_[560] = vX_[505] / vX_[470];
+ vX_[469] = 0.134705 + vX_[417] + vX_[462] + vX_[452] - vX_[469] - vX_[505] * vX_[560];
+ vX_[452] = vX_[489] * vX_[475] - vX_[393] * vX_[501];
+ vX_[561] = 2. * vX_[506];
+ vX_[562] =
+ vX_[559] * vX_[489] + vX_[469] + vX_[452] * vX_[489] - vX_[561] * vX_[393] - vX_[502] * vX_[393] - vX_[557];
+ vX_[563] = 0 - vX_[148] * vX_[124];
+ vX_[146] = 2. * vX_[146];
+ vX_[564] = 2. * vX_[145];
+ vX_[565] = -3.6e-05 + vX_[146] * vX_[4] + vX_[564] * vX_[75] + vX_[76] * vX_[145] + vX_[4] * vX_[147] -
+ vX_[157] * vX_[512];
+ vX_[566] = vX_[155] * vX_[4] + vX_[156] * vX_[75] - vX_[157] * vX_[151];
+ vX_[567] = vX_[141] * vX_[125];
+ vX_[568] = vX_[27] * vX_[142];
+ vX_[569] = vX_[567] - vX_[568];
+ vX_[570] = vX_[563] * vX_[141] + vX_[565] + vX_[158] * vX_[127] + vX_[154] * vX_[127] - vX_[566] * vX_[141] -
+ vX_[96] * vX_[27] - vX_[569] * vX_[141];
+ vX_[571] = vX_[126] * vX_[523] + vX_[1] * vX_[570];
+ vX_[572] = vX_[126] * vX_[570];
+ vX_[573] = vX_[572] + vX_[1] * vX_[519];
+ vX_[574] = vX_[571] * vX_[126] + vX_[573] * vX_[1];
+ vX_[572] = vX_[139] * vX_[523] + vX_[572];
+ vX_[575] = vX_[139] * vX_[570] + vX_[126] * vX_[519];
+ vX_[576] = vX_[572] * vX_[139] + vX_[575] * vX_[126];
+ vX_[577] = 0 - vX_[258] * vX_[233];
+ vX_[256] = -1 * 2. * vX_[256];
+ vX_[578] = -1 * 2. * vX_[255];
+ vX_[579] = 3.6e-05 + vX_[256] * vX_[195] + vX_[578] * vX_[186] + vX_[186] * vX_[255] + vX_[166] * vX_[257] -
+ vX_[267] * vX_[525];
+ vX_[580] = vX_[265] * vX_[195] + vX_[266] * vX_[186] - vX_[267] * vX_[261];
+ vX_[581] = vX_[251] * vX_[234];
+ vX_[582] = vX_[165] * vX_[252];
+ vX_[583] = vX_[581] - vX_[582];
+ vX_[584] = vX_[577] * vX_[251] + vX_[579] + vX_[268] * vX_[236] + vX_[264] * vX_[236] - vX_[580] * vX_[251] -
+ vX_[205] * vX_[165] - vX_[583] * vX_[251];
+ vX_[585] = vX_[249] * vX_[584];
+ vX_[586] = vX_[247] * vX_[536] + vX_[585];
+ vX_[587] = vX_[247] * vX_[584] + vX_[249] * vX_[532];
+ vX_[588] = vX_[586] * vX_[247] + vX_[587] * vX_[249];
+ vX_[589] = vX_[249] * vX_[536] + vX_[235] * vX_[584];
+ vX_[585] = vX_[585] + vX_[235] * vX_[532];
+ vX_[590] = vX_[589] * vX_[249] + vX_[585] * vX_[235];
+ vX_[591] = 0 - vX_[376] * vX_[352];
+ vX_[374] = 2. * vX_[374];
+ vX_[592] = 2. * vX_[373];
+ vX_[593] = 3.6e-05 + vX_[374] * vX_[276] + vX_[592] * vX_[303] + vX_[304] * vX_[373] + vX_[276] * vX_[375] -
+ vX_[385] * vX_[538];
+ vX_[594] = vX_[383] * vX_[276] + vX_[384] * vX_[303] - vX_[385] * vX_[379];
+ vX_[595] = vX_[369] * vX_[353];
+ vX_[596] = vX_[274] * vX_[370];
+ vX_[597] = vX_[595] - vX_[596];
+ vX_[598] = vX_[591] * vX_[369] + vX_[593] + vX_[386] * vX_[355] + vX_[382] * vX_[355] - vX_[594] * vX_[369] -
+ vX_[324] * vX_[274] - vX_[597] * vX_[369];
+ vX_[599] = vX_[354] * vX_[549] + vX_[273] * vX_[598];
+ vX_[600] = vX_[354] * vX_[598];
+ vX_[601] = vX_[600] + vX_[273] * vX_[545];
+ vX_[602] = vX_[599] * vX_[354] + vX_[601] * vX_[273];
+ vX_[600] = vX_[367] * vX_[549] + vX_[600];
+ vX_[603] = vX_[367] * vX_[598] + vX_[354] * vX_[545];
+ vX_[604] = vX_[600] * vX_[367] + vX_[603] * vX_[354];
+ vX_[605] = 0 - vX_[496] * vX_[471];
+ vX_[494] = -1 * 2. * vX_[494];
+ vX_[606] = -1 * 2. * vX_[493];
+ vX_[607] = -3.6e-05 + vX_[494] * vX_[433] + vX_[606] * vX_[421] + vX_[421] * vX_[493] + vX_[394] * vX_[495] -
+ vX_[505] * vX_[551];
+ vX_[608] = vX_[503] * vX_[433] + vX_[504] * vX_[421] - vX_[505] * vX_[499];
+ vX_[609] = vX_[489] * vX_[472];
+ vX_[610] = vX_[393] * vX_[490];
+ vX_[611] = vX_[609] - vX_[610];
+ vX_[612] = vX_[605] * vX_[489] + vX_[607] + vX_[506] * vX_[474] + vX_[502] * vX_[474] - vX_[608] * vX_[489] -
+ vX_[443] * vX_[393] - vX_[611] * vX_[489];
+ vX_[613] = vX_[487] * vX_[612];
+ vX_[614] = vX_[485] * vX_[562] + vX_[613];
+ vX_[615] = vX_[485] * vX_[612] + vX_[487] * vX_[558];
+ vX_[616] = vX_[614] * vX_[485] + vX_[615] * vX_[487];
+ vX_[617] = vX_[487] * vX_[562] + vX_[473] * vX_[612];
+ vX_[613] = vX_[613] + vX_[473] * vX_[558];
+ vX_[618] = vX_[617] * vX_[487] + vX_[613] * vX_[473];
+ vX_[619] = 1.209488 + vX_[519] + vX_[523] + vX_[518] + vX_[532] + vX_[536] + vX_[531] + vX_[545] + vX_[549] +
+ vX_[544] + vX_[558] + vX_[562] + vX_[557] - vX_[574] - vX_[576] - vX_[588] - vX_[590] - vX_[602] -
+ vX_[604] - vX_[616] - vX_[618];
+ vX_[620] = (-0.0053433 + vX_[162] + vX_[272] + vX_[390] + vX_[510]) / vX_[619];
+ vX_[621] = vX_[127] * vX_[153];
+ vX_[567] = vX_[621] - vX_[567];
+ vX_[622] = vX_[563] * vX_[127] + vX_[567] * vX_[127] - vX_[515] * vX_[27] - vX_[517] * vX_[27];
+ vX_[623] = vX_[566] * vX_[27] + vX_[569] * vX_[27] - vX_[514] * vX_[127] - vX_[105] * vX_[127];
+ vX_[624] = vX_[139] * vX_[622] + vX_[126] * vX_[623];
+ vX_[625] = vX_[236] * vX_[263];
+ vX_[581] = vX_[625] - vX_[581];
+ vX_[626] = vX_[577] * vX_[236] + vX_[581] * vX_[236] - vX_[528] * vX_[165] - vX_[530] * vX_[165];
+ vX_[627] = vX_[580] * vX_[165] + vX_[583] * vX_[165] - vX_[527] * vX_[236] - vX_[214] * vX_[236];
+ vX_[628] = vX_[249] * vX_[626] + vX_[235] * vX_[627];
+ vX_[629] = vX_[355] * vX_[381];
+ vX_[595] = vX_[629] - vX_[595];
+ vX_[630] = vX_[591] * vX_[355] + vX_[595] * vX_[355] - vX_[541] * vX_[274] - vX_[543] * vX_[274];
+ vX_[631] = vX_[594] * vX_[274] + vX_[597] * vX_[274] - vX_[540] * vX_[355] - vX_[333] * vX_[355];
+ vX_[632] = vX_[367] * vX_[630] + vX_[354] * vX_[631];
+ vX_[633] = vX_[474] * vX_[501];
+ vX_[609] = vX_[633] - vX_[609];
+ vX_[634] = vX_[605] * vX_[474] + vX_[609] * vX_[474] - vX_[554] * vX_[393] - vX_[556] * vX_[393];
+ vX_[635] = vX_[608] * vX_[393] + vX_[611] * vX_[393] - vX_[553] * vX_[474] - vX_[452] * vX_[474];
+ vX_[636] = vX_[487] * vX_[634] + vX_[473] * vX_[635];
+ vX_[637] = (-0.00571 + vX_[624] + vX_[628] + vX_[632] + vX_[636]) / vX_[619];
+ vX_[638] = 0 - vX_[637];
+ vX_[621] = vX_[568] - vX_[621];
+ vX_[568] = vX_[566] + vX_[569] - vX_[621];
+ vX_[639] = vX_[517] + vX_[515];
+ vX_[640] = vX_[126] * vX_[568] + vX_[1] * vX_[639];
+ vX_[641] = vX_[105] + vX_[514];
+ vX_[642] = vX_[563] + vX_[567] - vX_[621];
+ vX_[643] = vX_[126] * vX_[641] + vX_[1] * vX_[642];
+ vX_[644] = vX_[640] * vX_[139] + vX_[643] * vX_[126];
+ vX_[625] = vX_[582] - vX_[625];
+ vX_[582] = vX_[580] + vX_[583] - vX_[625];
+ vX_[645] = vX_[530] + vX_[528];
+ vX_[646] = vX_[247] * vX_[582] + vX_[249] * vX_[645];
+ vX_[647] = vX_[214] + vX_[527];
+ vX_[648] = vX_[577] + vX_[581] - vX_[625];
+ vX_[649] = vX_[247] * vX_[647] + vX_[249] * vX_[648];
+ vX_[650] = vX_[646] * vX_[249] + vX_[649] * vX_[235];
+ vX_[629] = vX_[596] - vX_[629];
+ vX_[596] = vX_[594] + vX_[597] - vX_[629];
+ vX_[651] = vX_[543] + vX_[541];
+ vX_[652] = vX_[354] * vX_[596] + vX_[273] * vX_[651];
+ vX_[653] = vX_[333] + vX_[540];
+ vX_[654] = vX_[591] + vX_[595] - vX_[629];
+ vX_[655] = vX_[354] * vX_[653] + vX_[273] * vX_[654];
+ vX_[656] = vX_[652] * vX_[367] + vX_[655] * vX_[354];
+ vX_[633] = vX_[610] - vX_[633];
+ vX_[610] = vX_[608] + vX_[611] - vX_[633];
+ vX_[657] = vX_[556] + vX_[554];
+ vX_[658] = vX_[485] * vX_[610] + vX_[487] * vX_[657];
+ vX_[659] = vX_[452] + vX_[553];
+ vX_[660] = vX_[605] + vX_[609] - vX_[633];
+ vX_[661] = vX_[485] * vX_[659] + vX_[487] * vX_[660];
+ vX_[662] = vX_[658] * vX_[487] + vX_[661] * vX_[473];
+ vX_[636] = -0.00571 + vX_[624] + vX_[628] + vX_[632] + vX_[636];
+ vX_[616] = 5.5837 + vX_[518] + vX_[574] + vX_[531] + vX_[588] + vX_[544] + vX_[602] + vX_[557] + vX_[616] -
+ vX_[636] * vX_[637];
+ vX_[602] = (1.1915559 + vX_[644] + vX_[650] + vX_[656] + vX_[662] - vX_[636] * vX_[620]) / vX_[616];
+ vX_[588] = 0 - vX_[1] * vX_[623] - vX_[126] * vX_[622];
+ vX_[574] = 0 - vX_[249] * vX_[627] - vX_[247] * vX_[626];
+ vX_[632] = 0 - vX_[273] * vX_[631] - vX_[354] * vX_[630];
+ vX_[628] = 0 - vX_[487] * vX_[635] - vX_[485] * vX_[634];
+ vX_[624] = (0.190812 + vX_[588] + vX_[574] + vX_[632] + vX_[628]) / vX_[619];
+ vX_[663] = 0 - vX_[637];
+ vX_[664] = vX_[572] * vX_[126] + vX_[575] * vX_[1];
+ vX_[665] = vX_[589] * vX_[247] + vX_[585] * vX_[249];
+ vX_[666] = vX_[600] * vX_[354] + vX_[603] * vX_[273];
+ vX_[667] = vX_[617] * vX_[485] + vX_[613] * vX_[487];
+ vX_[668] = (0.012668 + vX_[664] + vX_[665] + vX_[666] + vX_[667] - vX_[636] * vX_[624]) / vX_[616];
+ vX_[669] = vX_[624] + vX_[663] * vX_[668];
+ vX_[670] = 0 - vX_[669];
+ vX_[671] = vX_[249] * vX_[647] + vX_[235] * vX_[648];
+ vX_[672] = vX_[249] * vX_[582] + vX_[235] * vX_[645];
+ vX_[673] = vX_[671] * vX_[235] + vX_[672] * vX_[249] + vX_[625];
+ vX_[674] = vX_[139] * vX_[641] + vX_[126] * vX_[642];
+ vX_[675] = vX_[139] * vX_[568] + vX_[126] * vX_[639];
+ vX_[676] = vX_[674] * vX_[126] + vX_[675] * vX_[139] + vX_[621];
+ vX_[677] = vX_[367] * vX_[653] + vX_[354] * vX_[654];
+ vX_[678] = vX_[367] * vX_[596] + vX_[354] * vX_[651];
+ vX_[679] = vX_[677] * vX_[354] + vX_[678] * vX_[367] + vX_[629];
+ vX_[680] = vX_[487] * vX_[659] + vX_[473] * vX_[660];
+ vX_[681] = vX_[487] * vX_[610] + vX_[473] * vX_[657];
+ vX_[682] = vX_[680] * vX_[473] + vX_[681] * vX_[487] + vX_[633];
+ vX_[628] = 0.190812 + vX_[588] + vX_[574] + vX_[632] + vX_[628];
+ vX_[667] = 0.012668 + vX_[664] + vX_[665] + vX_[666] + vX_[667] - vX_[628] * vX_[637];
+ vX_[618] = 6.056973 + vX_[518] + vX_[576] + vX_[531] + vX_[590] + vX_[544] + vX_[604] + vX_[557] + vX_[618] -
+ vX_[667] * vX_[668] - vX_[628] * vX_[624];
+ vX_[604] = (vX_[673] + vX_[676] + vX_[679] + vX_[682] - vX_[667] * vX_[602] - vX_[628] * vX_[620]) / vX_[618];
+ vX_[590] = (vX_[625] + vX_[621] + vX_[629] + vX_[633]) / vX_[619];
+ vX_[576] = 0 - vX_[637];
+ vX_[557] = vX_[139] * vX_[149] + vX_[126] * vX_[159];
+ vX_[544] = vX_[249] * vX_[259] + vX_[235] * vX_[269];
+ vX_[531] = vX_[367] * vX_[377] + vX_[354] * vX_[387];
+ vX_[518] = vX_[487] * vX_[497] + vX_[473] * vX_[507];
+ vX_[666] = (2.0678571 + vX_[557] + vX_[544] + vX_[531] + vX_[518] - vX_[636] * vX_[590]) / vX_[616];
+ vX_[665] = 0 - vX_[669];
+ vX_[161] = -0 - vX_[161];
+ vX_[271] = 0 - vX_[271];
+ vX_[389] = -0 - vX_[389];
+ vX_[509] = -0 - vX_[509];
+ vX_[664] =
+ (0.0053433 + vX_[161] + vX_[271] + vX_[389] + vX_[509] - vX_[667] * vX_[666] - vX_[628] * vX_[590]) / vX_[618];
+ vX_[632] = vX_[590] + vX_[576] * vX_[666] + vX_[665] * vX_[664];
+ vX_[574] = 0 - vX_[632];
+ vX_[588] = 0 - vX_[263];
+ vX_[683] = 0 - vX_[249] * vX_[252] - vX_[247] * vX_[588];
+ vX_[684] = 0 - vX_[153];
+ vX_[685] = 0 - vX_[1] * vX_[142] - vX_[126] * vX_[684];
+ vX_[686] = 0 - vX_[381];
+ vX_[687] = 0 - vX_[273] * vX_[370] - vX_[354] * vX_[686];
+ vX_[688] = 0 - vX_[501];
+ vX_[689] = 0 - vX_[487] * vX_[490] - vX_[485] * vX_[688];
+ vX_[690] = vX_[625] + vX_[621] + vX_[629] + vX_[633];
+ vX_[691] = 2.0678571 + vX_[557] + vX_[544] + vX_[531] + vX_[518] - vX_[690] * vX_[637];
+ vX_[509] = 0.0053433 + vX_[161] + vX_[271] + vX_[389] + vX_[509] - vX_[691] * vX_[668] - vX_[690] * vX_[624];
+ vX_[389] = vX_[128] - vX_[137];
+ vX_[271] = vX_[134] - vX_[137];
+ vX_[161] = vX_[237] - vX_[246];
+ vX_[692] = vX_[243] - vX_[246];
+ vX_[693] = vX_[356] - vX_[365];
+ vX_[694] = vX_[362] - vX_[365];
+ vX_[695] = vX_[475] - vX_[484];
+ vX_[696] = vX_[481] - vX_[484];
+ vX_[697] = vX_[126] * vX_[271] + vX_[1] * vX_[125];
+ vX_[698] = vX_[126] * vX_[125];
+ vX_[699] = vX_[698] + vX_[1] * vX_[389];
+ vX_[700] = vX_[697] * vX_[126] + vX_[699] * vX_[1];
+ vX_[698] = vX_[139] * vX_[271] + vX_[698];
+ vX_[701] = vX_[139] * vX_[125] + vX_[126] * vX_[389];
+ vX_[702] = vX_[698] * vX_[139] + vX_[701] * vX_[126];
+ vX_[703] = vX_[249] * vX_[234];
+ vX_[704] = vX_[247] * vX_[692] + vX_[703];
+ vX_[705] = vX_[247] * vX_[234] + vX_[249] * vX_[161];
+ vX_[706] = vX_[704] * vX_[247] + vX_[705] * vX_[249];
+ vX_[707] = vX_[249] * vX_[692] + vX_[235] * vX_[234];
+ vX_[703] = vX_[703] + vX_[235] * vX_[161];
+ vX_[708] = vX_[707] * vX_[249] + vX_[703] * vX_[235];
+ vX_[709] = vX_[354] * vX_[694] + vX_[273] * vX_[353];
+ vX_[710] = vX_[354] * vX_[353];
+ vX_[711] = vX_[710] + vX_[273] * vX_[693];
+ vX_[712] = vX_[709] * vX_[354] + vX_[711] * vX_[273];
+ vX_[710] = vX_[367] * vX_[694] + vX_[710];
+ vX_[713] = vX_[367] * vX_[353] + vX_[354] * vX_[693];
+ vX_[714] = vX_[710] * vX_[367] + vX_[713] * vX_[354];
+ vX_[715] = vX_[487] * vX_[472];
+ vX_[716] = vX_[485] * vX_[696] + vX_[715];
+ vX_[717] = vX_[485] * vX_[472] + vX_[487] * vX_[695];
+ vX_[718] = vX_[716] * vX_[485] + vX_[717] * vX_[487];
+ vX_[719] = vX_[487] * vX_[696] + vX_[473] * vX_[472];
+ vX_[715] = vX_[715] + vX_[473] * vX_[695];
+ vX_[720] = vX_[719] * vX_[487] + vX_[715] * vX_[473];
+ vX_[721] = 53.433 + vX_[389] + vX_[271] + vX_[137] + vX_[161] + vX_[692] + vX_[246] + vX_[693] + vX_[694] +
+ vX_[365] + vX_[695] + vX_[696] + vX_[484] - vX_[700] - vX_[702] - vX_[706] - vX_[708] - vX_[712] -
+ vX_[714] - vX_[718] - vX_[720] - vX_[691] * vX_[666] - vX_[690] * vX_[590] - vX_[509] * vX_[664];
+ vX_[722] =
+ (vX_[683] + vX_[685] + vX_[687] + vX_[689] - vX_[691] * vX_[602] - vX_[690] * vX_[620] - vX_[509] * vX_[604]) /
+ vX_[721];
+ vX_[557] = vX_[150] * vX_[1] + vX_[160] * vX_[126] - vX_[557];
+ vX_[544] = vX_[260] * vX_[249] + vX_[270] * vX_[247] - vX_[544];
+ vX_[531] = vX_[378] * vX_[273] + vX_[388] * vX_[354] - vX_[531];
+ vX_[518] = vX_[498] * vX_[487] + vX_[508] * vX_[485] - vX_[518];
+ vX_[723] = (-2.0678571 + vX_[557] + vX_[544] + vX_[531] + vX_[518]) / vX_[619];
+ vX_[724] = 0 - vX_[637];
+ vX_[625] = vX_[649] * vX_[249] + vX_[646] * vX_[247] + vX_[625];
+ vX_[621] = vX_[643] * vX_[1] + vX_[640] * vX_[126] + vX_[621];
+ vX_[629] = vX_[655] * vX_[273] + vX_[652] * vX_[354] + vX_[629];
+ vX_[633] = vX_[661] * vX_[487] + vX_[658] * vX_[485] + vX_[633];
+ vX_[725] = (vX_[625] + vX_[621] + vX_[629] + vX_[633] - vX_[636] * vX_[723]) / vX_[616];
+ vX_[726] = 0 - vX_[669];
+ vX_[727] = vX_[675] * vX_[126] + vX_[674] * vX_[1];
+ vX_[728] = vX_[672] * vX_[247] + vX_[671] * vX_[249];
+ vX_[729] = vX_[678] * vX_[354] + vX_[677] * vX_[273];
+ vX_[730] = vX_[681] * vX_[485] + vX_[680] * vX_[487];
+ vX_[731] =
+ (-1.1915559 + vX_[727] + vX_[728] + vX_[729] + vX_[730] - vX_[667] * vX_[725] - vX_[628] * vX_[723]) / vX_[618];
+ vX_[732] = 0 - vX_[632];
+ vX_[733] = vX_[249] * vX_[588] + vX_[235] * vX_[252];
+ vX_[734] = vX_[139] * vX_[684] + vX_[126] * vX_[142];
+ vX_[735] = vX_[367] * vX_[686] + vX_[354] * vX_[370];
+ vX_[736] = vX_[487] * vX_[688] + vX_[473] * vX_[490];
+ vX_[737] =
+ (vX_[733] + vX_[734] + vX_[735] + vX_[736] - vX_[691] * vX_[725] - vX_[690] * vX_[723] - vX_[509] * vX_[731]) /
+ vX_[721];
+ vX_[738] = vX_[723] + vX_[724] * vX_[725] + vX_[726] * vX_[731] + vX_[732] * vX_[737];
+ vX_[739] = 0 - vX_[738];
+ vX_[740] = vX_[707] * vX_[247] + vX_[703] * vX_[249];
+ vX_[741] = vX_[698] * vX_[126] + vX_[701] * vX_[1];
+ vX_[742] = vX_[710] * vX_[354] + vX_[713] * vX_[273];
+ vX_[743] = vX_[719] * vX_[485] + vX_[715] * vX_[487];
+ vX_[518] = -2.0678571 + vX_[557] + vX_[544] + vX_[531] + vX_[518];
+ vX_[633] = vX_[625] + vX_[621] + vX_[629] + vX_[633] - vX_[518] * vX_[637];
+ vX_[730] = -1.1915559 + vX_[727] + vX_[728] + vX_[729] + vX_[730] - vX_[633] * vX_[668] - vX_[518] * vX_[624];
+ vX_[736] =
+ vX_[733] + vX_[734] + vX_[735] + vX_[736] - vX_[633] * vX_[666] - vX_[518] * vX_[590] - vX_[730] * vX_[664];
+ vX_[718] = 53.433 + vX_[137] + vX_[700] + vX_[246] + vX_[706] + vX_[365] + vX_[712] + vX_[484] + vX_[718] -
+ vX_[633] * vX_[725] - vX_[518] * vX_[723] - vX_[730] * vX_[731] - vX_[736] * vX_[737];
+ vX_[712] = (vX_[740] + vX_[741] + vX_[742] + vX_[743] - vX_[633] * vX_[602] - vX_[518] * vX_[620] -
+ vX_[730] * vX_[604] - vX_[736] * vX_[722]) /
+ vX_[718];
+ vX_[510] = -0.0053433 + vX_[162] + vX_[272] + vX_[390] + vX_[510];
+ vX_[662] = 1.1915559 + vX_[644] + vX_[650] + vX_[656] + vX_[662] - vX_[510] * vX_[637];
+ vX_[682] = vX_[673] + vX_[676] + vX_[679] + vX_[682] - vX_[662] * vX_[668] - vX_[510] * vX_[624];
+ vX_[689] =
+ vX_[683] + vX_[685] + vX_[687] + vX_[689] - vX_[662] * vX_[666] - vX_[510] * vX_[590] - vX_[682] * vX_[664];
+ vX_[743] = vX_[740] + vX_[741] + vX_[742] + vX_[743] - vX_[662] * vX_[725] - vX_[510] * vX_[723] -
+ vX_[682] * vX_[731] - vX_[689] * vX_[737];
+ vX_[720] = 53.433 + vX_[137] + vX_[702] + vX_[246] + vX_[708] + vX_[365] + vX_[714] + vX_[484] + vX_[720] -
+ vX_[662] * vX_[602] - vX_[510] * vX_[620] - vX_[682] * vX_[604] - vX_[689] * vX_[722] -
+ vX_[743] * vX_[712];
+ vX_[714] = (vX_[620] + vX_[638] * vX_[602] + vX_[670] * vX_[604] + vX_[574] * vX_[722] + vX_[739] * vX_[712]) * 1 /
+ vX_[720];
+ vX_[708] = 0 - vX_[714];
+ vX_[738] = (vX_[738] + vX_[708] * vX_[743]) * 1 / vX_[718];
+ vX_[702] = 0 - vX_[714];
+ vX_[742] = 0 - vX_[738];
+ vX_[741] = 0 - vX_[714];
+ vX_[740] = 0 - vX_[738];
+ vX_[632] = (vX_[632] + vX_[741] * vX_[689] + vX_[740] * vX_[736]) * 1 / vX_[721];
+ vX_[687] = 0 - vX_[632];
+ vX_[669] = (vX_[669] + vX_[702] * vX_[682] + vX_[742] * vX_[730] + vX_[687] * vX_[509]) * 1 / vX_[618];
+ vX_[685] = 0 - vX_[714];
+ vX_[683] = 0 - vX_[738];
+ vX_[679] = 0 - vX_[632];
+ vX_[676] = 0 - vX_[669];
+ vX_[673] = (vX_[637] + vX_[685] * vX_[662] + vX_[683] * vX_[633] + vX_[679] * vX_[691] + vX_[676] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[656] = 0 - vX_[714];
+ vX_[650] = 0 - vX_[738];
+ vX_[644] = 0 - vX_[632];
+ vX_[390] = 0 - vX_[669];
+ vX_[272] = 0 - vX_[673];
+ vX_[162] = (-1 + vX_[656] * vX_[510] + vX_[650] * vX_[518] + vX_[644] * vX_[690] + vX_[390] * vX_[628] +
+ vX_[272] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[706] = -0.207 * vX_[126];
+ vX_[700] =
+ vX_[714] * vX_[126] + vX_[738] * vX_[1] + vX_[669] * vX_[140] + vX_[673] * vX_[138] + vX_[162] * vX_[706];
+ vX_[735] = vX_[632] + vX_[669] * 0.207;
+ vX_[734] = vX_[735] * 1 / vX_[123];
+ vX_[733] = vX_[700] * 1 / vX_[123];
+ vX_[729] = 0 - vX_[1];
+ vX_[728] = -0.3735 * vX_[126];
+ vX_[727] = -0.3735 * vX_[1];
+ vX_[629] =
+ vX_[714] * vX_[729] + vX_[738] * vX_[126] + vX_[669] * vX_[728] + vX_[673] * vX_[727] + vX_[162] * vX_[27];
+ vX_[621] = vX_[629] * 1 / vX_[123];
+ vX_[625] = vX_[162] * 1 / vX_[123];
+ vX_[531] = vX_[669] * vX_[126] + vX_[673] * vX_[1];
+ vX_[544] = vX_[531] * 1 / vX_[123];
+ vX_[557] = vX_[669] * vX_[139] + vX_[673] * vX_[126];
+ vX_[744] = vX_[557] * 1 / vX_[123];
+ vX_[745] = vX_[162] - (vX_[734] * vX_[135] + vX_[733] * vX_[97] + vX_[621] * vX_[88] + vX_[625] * vX_[123] +
+ vX_[544] * vX_[148] + vX_[744] * vX_[157]);
+ vX_[746] = vX_[700] + vX_[745] * 0.08;
+ vX_[747] = vX_[745] * vX_[76] + vX_[557] * vX_[4];
+ vX_[748] = vX_[746] + vX_[747] * -0.35;
+ vX_[749] = 0 - vX_[748];
+ vX_[750] = 0 - vX_[75];
+ vX_[751] = 0 - vX_[9];
+ vX_[752] = 0.08 * vX_[75];
+ vX_[753] = vX_[735] * vX_[750] + vX_[629] * vX_[751] + vX_[531] * vX_[752];
+ vX_[754] = 0 - vX_[9];
+ vX_[755] = vX_[735] * vX_[754] + vX_[629] * vX_[75] + vX_[531] * vX_[93];
+ vX_[756] = 0 - vX_[51];
+ vX_[757] = vX_[753] * 1 / vX_[72];
+ vX_[758] = vX_[755] * 1 / vX_[72];
+ vX_[759] = vX_[531] * 1 / vX_[72];
+ vX_[760] = vX_[747] * 1 / vX_[72];
+ vX_[761] = vX_[745] * vX_[4] + vX_[557] * vX_[75];
+ vX_[762] = vX_[761] * 1 / vX_[72];
+ vX_[763] = vX_[531] -
+ (vX_[757] * vX_[83] + vX_[758] * vX_[70] + vX_[759] * vX_[72] + vX_[760] * vX_[79] + vX_[762] * vX_[60]);
+ vX_[764] = 0.35 * vX_[7];
+ vX_[765] = vX_[753] * vX_[7] + vX_[755] * vX_[756] + vX_[763] * vX_[764];
+ vX_[766] = 0 - vX_[765];
+ vX_[767] = 0 - vX_[126];
+ vX_[768] = vX_[767] * vX_[75];
+ vX_[769] = vX_[126] * vX_[9];
+ vX_[770] = vX_[769] * vX_[7];
+ vX_[771] = vX_[768] * vX_[51] - vX_[770];
+ vX_[772] = vX_[753] * vX_[51] + vX_[755] * vX_[7] + vX_[763] * vX_[54];
+ vX_[773] = 0 - vX_[772];
+ vX_[774] = vX_[126] * vX_[75];
+ vX_[775] = vX_[769] * vX_[51];
+ vX_[776] = vX_[774] * vX_[7] - vX_[775];
+ vX_[777] = vX_[763] - (vX_[765] * 38.1956380581338 * 0.1104774 + vX_[772] * 38.1956380581338 * 0.0004405 +
+ vX_[763] * 38.1956380581338 * 0.026181);
+ vX_[778] = 0 - vX_[777];
+ vX_[779] = 0.35 * vX_[126];
+ vX_[780] = vX_[779] * vX_[9] + 0.3735 * vX_[126];
+ vX_[781] = vX_[747] * vX_[7] + vX_[761] * vX_[52];
+ vX_[782] = 0 - vX_[781];
+ vX_[783] = 0.3735 * vX_[1];
+ vX_[784] = 0.08 * vX_[1];
+ vX_[785] = vX_[783] * vX_[75] - vX_[784] * vX_[9];
+ vX_[786] = 0.08 * vX_[1];
+ vX_[787] = 0.3735 * vX_[1];
+ vX_[788] = vX_[786] * vX_[75] + vX_[787] * vX_[9] + 0.35 * vX_[1];
+ vX_[789] = vX_[785] * vX_[51] + vX_[788] * vX_[7];
+ vX_[790] = vX_[747] * vX_[51] + vX_[761] * vX_[7];
+ vX_[791] = 0 - vX_[790];
+ vX_[792] = 0.3735 * vX_[1];
+ vX_[793] = vX_[784] * vX_[75] + vX_[792] * vX_[9] + 0.35 * vX_[1];
+ vX_[794] = 0.08 * vX_[1];
+ vX_[795] = 0.3735 * vX_[1];
+ vX_[796] = vX_[794] * vX_[9] - vX_[795] * vX_[75];
+ vX_[797] = vX_[793] * vX_[51] + vX_[796] * vX_[7];
+ vX_[798] = 0 - vX_[777];
+ vX_[799] = 0 - vX_[781];
+ vX_[800] = vX_[1] * vX_[75];
+ vX_[801] = vX_[800] * vX_[51];
+ vX_[802] = vX_[1] * vX_[9];
+ vX_[803] = vX_[801] + vX_[802] * vX_[7];
+ vX_[804] = 0 - vX_[790];
+ vX_[805] = vX_[800] * vX_[7];
+ vX_[806] = vX_[802] * vX_[51] - vX_[805];
+ vX_[807] = vX_[798] * vX_[126] + vX_[799] * vX_[803] + vX_[804] * vX_[806];
+ vX_[808] = -0.33 * vX_[75];
+ vX_[809] = 0.33 * vX_[9];
+ vX_[810] = -0.3735 + vX_[808] * vX_[51] - vX_[809] * vX_[7] - 0.35 * vX_[9];
+ vX_[811] = 0 - vX_[781];
+ vX_[812] = vX_[9] * vX_[51] - vX_[75] * vX_[7];
+ vX_[813] = 0 - vX_[790];
+ vX_[814] = 0 - vX_[75];
+ vX_[815] = vX_[9] * vX_[7];
+ vX_[816] = vX_[814] * vX_[51] - vX_[815];
+ vX_[817] = vX_[811] * vX_[812] + vX_[813] * vX_[816];
+ vX_[818] = 0 - vX_[817];
+ vX_[819] = 0.33 * vX_[1];
+ vX_[820] = vX_[819] * vX_[9];
+ vX_[821] = 0.33 * vX_[1];
+ vX_[822] = vX_[821] * vX_[75];
+ vX_[823] = 0.35 * vX_[1];
+ vX_[824] = vX_[820] * vX_[51] - vX_[822] * vX_[7] - vX_[823] * vX_[75] - vX_[794];
+ vX_[825] = vX_[749] * vX_[1] + vX_[766] * vX_[771] + vX_[773] * vX_[776] + vX_[778] * vX_[780] +
+ vX_[782] * vX_[789] + vX_[791] * vX_[797] + vX_[807] * vX_[810] + vX_[818] * vX_[824];
+ vX_[826] = 0.5 * x_in[0];
+ vX_[827] = cos(vX_[826]);
+ vX_[828] = 0.5 * x_in[1];
+ vX_[829] = cos(vX_[828]);
+ vX_[830] = vX_[827] * vX_[829];
+ vX_[831] = 0.5 * x_in[2];
+ vX_[832] = sin(vX_[831]);
+ vX_[833] = sin(vX_[826]);
+ vX_[834] = sin(vX_[828]);
+ vX_[835] = vX_[833] * vX_[834];
+ vX_[836] = cos(vX_[831]);
+ vX_[837] = vX_[830] * vX_[832] + vX_[835] * vX_[836];
+ vX_[838] = 2. * vX_[837];
+ vX_[839] = vX_[838] * vX_[837];
+ vX_[840] = vX_[833] * vX_[829];
+ vX_[841] = vX_[827] * vX_[834];
+ vX_[842] = vX_[840] * vX_[836] + vX_[841] * vX_[832];
+ vX_[843] = 2. * vX_[842];
+ vX_[844] = vX_[843] * vX_[842];
+ vX_[845] = 1 - vX_[839] - vX_[844];
+ vX_[846] = -0.33 * vX_[126];
+ vX_[847] = vX_[846] * vX_[75];
+ vX_[848] = 0.33 * vX_[126];
+ vX_[849] = vX_[848] * vX_[9];
+ vX_[850] = 0.35 * vX_[126];
+ vX_[851] = vX_[847] * vX_[51] - vX_[849] * vX_[7] - vX_[850] * vX_[9];
+ vX_[852] = 0.33 * vX_[1];
+ vX_[853] = vX_[852] * vX_[75];
+ vX_[854] = -0.33 * vX_[1];
+ vX_[855] = vX_[854] * vX_[9];
+ vX_[856] = 0.35 * vX_[1];
+ vX_[857] = vX_[853] * vX_[7] + vX_[855] * vX_[51] + vX_[856] * vX_[75] + 0.08 * vX_[1];
+ vX_[858] = -0.33 * vX_[126];
+ vX_[859] = vX_[858] * vX_[75];
+ vX_[860] = 0.33 * vX_[126];
+ vX_[861] = vX_[860] * vX_[9];
+ vX_[862] = vX_[859] * vX_[51] - vX_[861] * vX_[7];
+ vX_[863] = -0.33 * vX_[75];
+ vX_[864] = 0.33 * vX_[9];
+ vX_[865] = -0.3735 + vX_[863] * vX_[51] - vX_[864] * vX_[7] - 0.35 * vX_[9];
+ vX_[866] = 0.33 * vX_[1];
+ vX_[867] = vX_[866] * vX_[9];
+ vX_[868] = 0.33 * vX_[1];
+ vX_[869] = vX_[868] * vX_[75];
+ vX_[870] = 0.35 * vX_[1];
+ vX_[871] = vX_[867] * vX_[51] - vX_[869] * vX_[7] - vX_[870] * vX_[75] - 0.08 * vX_[1];
+ vX_[872] = vX_[851] * x_in[34] + vX_[857] * x_in[33] + vX_[862] * x_in[35] + x_in[22] + x_in[20] * vX_[865] -
+ x_in[18] * vX_[871];
+ vX_[873] = vX_[841] * vX_[836] - vX_[840] * vX_[832];
+ vX_[874] = 2. * vX_[873];
+ vX_[875] = vX_[874] * vX_[842];
+ vX_[876] = vX_[830] * vX_[836] - vX_[835] * vX_[832];
+ vX_[877] = vX_[838] * vX_[876];
+ vX_[878] = vX_[875] + vX_[877];
+ vX_[879] = 0.33 * vX_[9];
+ vX_[880] = 0.33 * vX_[75];
+ vX_[881] = vX_[879] * vX_[51] - vX_[880] * vX_[7];
+ vX_[882] = 0.33 * vX_[9];
+ vX_[883] = 0.33 * vX_[75];
+ vX_[884] = vX_[882] * vX_[51] - vX_[883] * vX_[7] - 0.35 * vX_[75];
+ vX_[885] = 0.33 * vX_[126];
+ vX_[886] = vX_[885] * vX_[75];
+ vX_[887] = -0.33 * vX_[126];
+ vX_[888] = vX_[887] * vX_[9];
+ vX_[889] = 0.35 * vX_[126];
+ vX_[890] = -0.207 + vX_[886] * vX_[7] + vX_[888] * vX_[51] + vX_[889] * vX_[75] + 0.08 * vX_[126];
+ vX_[891] = vX_[881] * x_in[35] + vX_[884] * x_in[34] + x_in[21] + x_in[19] * vX_[871] - x_in[20] * vX_[890];
+ vX_[892] = vX_[838] * vX_[873];
+ vX_[893] = vX_[843] * vX_[876];
+ vX_[894] = vX_[892] - vX_[893];
+ vX_[895] = vX_[852] * vX_[9];
+ vX_[896] = 0.33 * vX_[1];
+ vX_[897] = vX_[896] * vX_[75];
+ vX_[898] = 0.35 * vX_[1];
+ vX_[899] = vX_[895] * vX_[7] + vX_[897] * vX_[51] + vX_[898] * vX_[9];
+ vX_[900] = vX_[848] * vX_[75];
+ vX_[901] = vX_[846] * vX_[9];
+ vX_[902] = 0.35 * vX_[126];
+ vX_[903] = vX_[900] * vX_[7] + vX_[901] * vX_[51] + vX_[902] * vX_[75] + 0.08 * vX_[126];
+ vX_[904] = 0.33 * vX_[1];
+ vX_[905] = vX_[904] * vX_[75];
+ vX_[906] = 0.33 * vX_[1];
+ vX_[907] = vX_[906] * vX_[9];
+ vX_[908] = vX_[905] * vX_[51] + vX_[907] * vX_[7];
+ vX_[909] = vX_[899] * x_in[34] + vX_[903] * x_in[33] + vX_[908] * x_in[35] + x_in[23] + x_in[18] * vX_[890] -
+ x_in[19] * vX_[865];
+ vX_[910] = -1000. * (vX_[845] * vX_[872] + vX_[878] * vX_[891] + vX_[894] * vX_[909]);
+ vX_[911] = 0.5 * x_in[0];
+ vX_[912] = cos(vX_[911]);
+ vX_[913] = 0.5 * x_in[1];
+ vX_[914] = cos(vX_[913]);
+ vX_[915] = vX_[912] * vX_[914];
+ vX_[916] = 0.5 * x_in[2];
+ vX_[917] = sin(vX_[916]);
+ vX_[918] = sin(vX_[911]);
+ vX_[919] = sin(vX_[913]);
+ vX_[920] = vX_[918] * vX_[919];
+ vX_[921] = cos(vX_[916]);
+ vX_[922] = 2. * (vX_[915] * vX_[917] + vX_[920] * vX_[921]);
+ vX_[923] = vX_[912] * vX_[919];
+ vX_[924] = vX_[918] * vX_[914];
+ vX_[925] = vX_[923] * vX_[921] - vX_[924] * vX_[917];
+ vX_[926] = vX_[924] * vX_[921] + vX_[923] * vX_[917];
+ vX_[927] = 2. * vX_[926];
+ vX_[928] = vX_[915] * vX_[921] - vX_[920] * vX_[917];
+ vX_[929] = vX_[922] * vX_[925] + vX_[927] * vX_[928];
+ vX_[930] = 0.33 * vX_[126];
+ vX_[931] = vX_[930] * vX_[75];
+ vX_[932] = -0.33 * vX_[126];
+ vX_[933] = vX_[932] * vX_[9];
+ vX_[934] = 0.35 * vX_[126];
+ vX_[935] = -0.207 + vX_[931] * vX_[7] + vX_[933] * vX_[51] + vX_[934] * vX_[75] + 0.08 * vX_[126];
+ vX_[936] = 2. * vX_[925];
+ vX_[937] = vX_[922] * vX_[926] - vX_[936] * vX_[928];
+ vX_[938] = 0.33 * vX_[9];
+ vX_[939] = -0.3735 + vX_[808] * vX_[51] - vX_[938] * vX_[7] - 0.35 * vX_[9];
+ vX_[940] = 1 - vX_[936] * vX_[925] - vX_[927] * vX_[926];
+ vX_[941] = 0.33 * vX_[1];
+ vX_[942] = vX_[941] * vX_[9];
+ vX_[943] = 0.33 * vX_[1];
+ vX_[944] = vX_[943] * vX_[75];
+ vX_[945] = 0.35 * vX_[1];
+ vX_[946] = vX_[942] * vX_[51] - vX_[944] * vX_[7] - vX_[945] * vX_[75] - 0.08 * vX_[1];
+ vX_[947] = vX_[929] * vX_[935] + vX_[937] * vX_[939] + vX_[940] * vX_[946] + x_in[5];
+ vX_[948] = exp(100. * vX_[947]);
+ vX_[949] = 1 + vX_[948];
+ vX_[950] = 1 / vX_[949];
+ vX_[951] = vX_[910] * vX_[950];
+ vX_[952] = vX_[825] * vX_[951];
+ vX_[953] = 0 - vX_[765];
+ vX_[954] = 0 - vX_[772];
+ vX_[955] = 0 - vX_[75];
+ vX_[815] = vX_[955] * vX_[51] - vX_[815];
+ vX_[956] = 0 - vX_[777];
+ vX_[957] = 0.08 + 0.35 * vX_[75] - 0.207 * vX_[126];
+ vX_[958] = 0 - vX_[781];
+ vX_[959] = -0.207 * vX_[1];
+ vX_[960] = vX_[959] * vX_[75];
+ vX_[961] = 0.207 * vX_[1];
+ vX_[962] = vX_[961] * vX_[9];
+ vX_[963] = vX_[960] * vX_[51] - vX_[962] * vX_[7];
+ vX_[964] = 0 - vX_[790];
+ vX_[965] = 0.207 * vX_[1];
+ vX_[966] = vX_[965] * vX_[75];
+ vX_[967] = vX_[961] * vX_[9];
+ vX_[968] = vX_[966] * vX_[7] - vX_[967] * vX_[51];
+ vX_[969] = 0 - vX_[807];
+ vX_[970] = 0.33 * vX_[126];
+ vX_[971] = vX_[970] * vX_[75];
+ vX_[972] = -0.33 * vX_[126];
+ vX_[973] = vX_[972] * vX_[9];
+ vX_[974] = 0.35 * vX_[126];
+ vX_[975] = -0.207 + vX_[971] * vX_[7] + vX_[973] * vX_[51] + vX_[974] * vX_[75] + 0.08 * vX_[126];
+ vX_[976] = 0 - vX_[777];
+ vX_[977] = 0 - vX_[781];
+ vX_[978] = 0 - vX_[126];
+ vX_[979] = vX_[978] * vX_[75];
+ vX_[770] = vX_[979] * vX_[51] - vX_[770];
+ vX_[980] = 0 - vX_[790];
+ vX_[981] = vX_[126] * vX_[75];
+ vX_[775] = vX_[981] * vX_[7] - vX_[775];
+ vX_[982] = vX_[976] * vX_[1] + vX_[977] * vX_[770] + vX_[980] * vX_[775];
+ vX_[983] = vX_[953] * vX_[812] + vX_[954] * vX_[815] + vX_[956] * vX_[957] + vX_[958] * vX_[963] +
+ vX_[964] * vX_[968] + vX_[969] * vX_[975] + vX_[982] * vX_[824];
+ vX_[877] = vX_[875] - vX_[877];
+ vX_[875] = vX_[874] * vX_[873];
+ vX_[839] = 1 - vX_[839] - vX_[875];
+ vX_[984] = vX_[838] * vX_[842];
+ vX_[985] = vX_[874] * vX_[876];
+ vX_[986] = vX_[984] + vX_[985];
+ vX_[987] = -1000. * (vX_[877] * vX_[872] + vX_[839] * vX_[891] + vX_[986] * vX_[909]);
+ vX_[988] = vX_[987] * vX_[950];
+ vX_[989] = vX_[983] * vX_[988];
+ vX_[990] = 0 - vX_[952] - vX_[989];
+ vX_[991] = 0.5 * x_in[0];
+ vX_[992] = cos(vX_[991]);
+ vX_[993] = 0.5 * x_in[1];
+ vX_[994] = cos(vX_[993]);
+ vX_[995] = vX_[992] * vX_[994];
+ vX_[996] = 0.5 * x_in[2];
+ vX_[997] = sin(vX_[996]);
+ vX_[998] = sin(vX_[991]);
+ vX_[999] = sin(vX_[993]);
+ vX_[1000] = vX_[998] * vX_[999];
+ vX_[1001] = cos(vX_[996]);
+ vX_[1002] = vX_[995] * vX_[997] + vX_[1000] * vX_[1001];
+ vX_[1003] = 2. * vX_[1002];
+ vX_[893] = vX_[892] + vX_[893];
+ vX_[985] = vX_[984] - vX_[985];
+ vX_[875] = 1 - vX_[875] - vX_[844];
+ vX_[844] = -1000. * (vX_[893] * vX_[872] + vX_[985] * vX_[891] + vX_[875] * vX_[909]);
+ vX_[947] = exp(-100. * (vX_[947] + 0.02));
+ vX_[984] = vX_[844] * vX_[950] + 5000. * vX_[947];
+ vX_[892] = vX_[825] * vX_[984];
+ vX_[1004] = 0 - vX_[748];
+ vX_[1005] = 0 - vX_[765];
+ vX_[1006] = vX_[1] * vX_[9];
+ vX_[801] = vX_[801] + vX_[1006] * vX_[7];
+ vX_[1007] = 0 - vX_[772];
+ vX_[805] = vX_[1006] * vX_[51] - vX_[805];
+ vX_[1008] = 0 - vX_[777];
+ vX_[1009] = -0.35 * vX_[1];
+ vX_[1010] = vX_[1009] * vX_[9] - 0.3735 * vX_[1];
+ vX_[1011] = 0 - vX_[781];
+ vX_[1012] = 0.207 - 0.08 * vX_[126];
+ vX_[1013] = 0.3735 * vX_[126];
+ vX_[1014] = vX_[1012] * vX_[9] + vX_[1013] * vX_[75];
+ vX_[1015] = 0.08 * vX_[126] - 0.207;
+ vX_[1016] = 0.3735 * vX_[126];
+ vX_[1017] = vX_[1015] * vX_[75] + vX_[1016] * vX_[9] + 0.35 * vX_[126];
+ vX_[1018] = vX_[1014] * vX_[51] + vX_[1017] * vX_[7];
+ vX_[1019] = 0 - vX_[790];
+ vX_[1020] = 0.08 * vX_[126] - 0.207;
+ vX_[1021] = 0.3735 * vX_[126];
+ vX_[1022] = vX_[1020] * vX_[75] + vX_[1021] * vX_[9] + 0.35 * vX_[126];
+ vX_[1023] = 0.08 * vX_[126] - 0.207;
+ vX_[1024] = 0.3735 * vX_[126];
+ vX_[1025] = vX_[1023] * vX_[9] - vX_[1024] * vX_[75];
+ vX_[1026] = vX_[1022] * vX_[51] + vX_[1025] * vX_[7];
+ vX_[1027] = 0 - vX_[982];
+ vX_[1028] = vX_[1004] * vX_[126] + vX_[1005] * vX_[801] + vX_[1007] * vX_[805] + vX_[1008] * vX_[1010] +
+ vX_[1011] * vX_[1018] + vX_[1019] * vX_[1026] + vX_[1027] * vX_[810] + vX_[817] * vX_[975];
+ vX_[1029] = vX_[1028] * vX_[951];
+ vX_[1030] = vX_[892] + vX_[1029];
+ vX_[1031] = vX_[992] * vX_[999];
+ vX_[1032] = vX_[998] * vX_[994];
+ vX_[1033] = vX_[1031] * vX_[1001] - vX_[1032] * vX_[997];
+ vX_[1034] = vX_[983] * vX_[984];
+ vX_[1035] = vX_[1028] * vX_[988];
+ vX_[1036] = vX_[1034] + vX_[1035];
+ vX_[1037] = vX_[1032] * vX_[1001] + vX_[1031] * vX_[997];
+ vX_[1038] = vX_[983] * vX_[951];
+ vX_[1039] = vX_[825] * vX_[988];
+ vX_[1040] = vX_[1038] - vX_[1039];
+ vX_[1041] = vX_[995] * vX_[1001] - vX_[1000] * vX_[997];
+ vX_[990] = vX_[990] * vX_[1003] +
+ (vX_[990] * vX_[1002] + vX_[1030] * vX_[1033] + vX_[1036] * vX_[1037] + vX_[1040] * vX_[1041]) * 2.;
+ vX_[1035] = 0 - vX_[1034] + vX_[1035];
+ vX_[1034] = 2. * vX_[1033];
+ vX_[1029] = vX_[892] - vX_[1029];
+ vX_[892] = 2. * vX_[1037];
+ vX_[1040] = vX_[1040] * vX_[1003] + vX_[1035] * vX_[1034] + vX_[1029] * vX_[892];
+ vX_[1042] = 0 - vX_[1040];
+ vX_[1043] = vX_[990] * vX_[1001] + vX_[1042] * vX_[997];
+ vX_[1044] = vX_[1028] * vX_[984];
+ vX_[989] = 0 - vX_[1044] - vX_[989];
+ vX_[1039] = vX_[1038] + vX_[1039];
+ vX_[989] = vX_[1030] * vX_[1003] + vX_[989] * vX_[1034] +
+ (vX_[989] * vX_[1033] + vX_[1039] * vX_[1037] + vX_[1035] * vX_[1041]) * 2.;
+ vX_[1035] = 0 - vX_[989];
+ vX_[1044] = 0 - vX_[1044] - vX_[952];
+ vX_[1044] = vX_[1036] * vX_[1003] + vX_[1039] * vX_[1034] + vX_[1044] * vX_[892] +
+ (vX_[1044] * vX_[1037] + vX_[1029] * vX_[1041]) * 2.;
+ vX_[1039] = vX_[1035] * vX_[997] + vX_[1044] * vX_[1001];
+ vX_[1029] = cos(vX_[991]);
+ vX_[1036] = vX_[989] * vX_[1001] + vX_[1044] * vX_[997];
+ vX_[952] = vX_[990] * vX_[997] + vX_[1040] * vX_[1001];
+ vX_[991] = sin(vX_[991]);
+ vX_[1030] = 0 - vX_[163];
+ vX_[1038] = 0.207 * vX_[235];
+ vX_[1045] =
+ vX_[714] * vX_[235] + vX_[738] * vX_[1030] + vX_[669] * vX_[250] + vX_[673] * vX_[248] + vX_[162] * vX_[1038];
+ vX_[1046] = vX_[162] * -1;
+ vX_[1047] = vX_[632] * -1 + vX_[669] * 0.207;
+ vX_[1048] = vX_[1047] * 1 / vX_[232];
+ vX_[1049] = vX_[1045] * 1 / vX_[232];
+ vX_[1050] = 0 - vX_[163];
+ vX_[1051] = 0 - vX_[235];
+ vX_[1052] = 0.3735 * vX_[235];
+ vX_[1053] = -0.3735 * vX_[163];
+ vX_[1054] =
+ vX_[714] * vX_[1050] + vX_[738] * vX_[1051] + vX_[669] * vX_[1052] + vX_[673] * vX_[1053] + vX_[162] * vX_[164];
+ vX_[1055] = vX_[1054] * 1 / vX_[232];
+ vX_[1056] = vX_[1046] * 1 / vX_[232];
+ vX_[1057] = vX_[669] * vX_[235] + vX_[673] * vX_[249];
+ vX_[1058] = vX_[1057] * 1 / vX_[232];
+ vX_[1059] = vX_[669] * vX_[249] + vX_[673] * vX_[247];
+ vX_[1060] = vX_[1059] * 1 / vX_[232];
+ vX_[1046] = vX_[1046] - (vX_[1048] * vX_[244] + vX_[1049] * vX_[206] + vX_[1055] * vX_[196] + vX_[1056] * vX_[232] +
+ vX_[1058] * vX_[258] + vX_[1060] * vX_[267]);
+ vX_[1061] = vX_[1045] * -1 + vX_[1046] * -0.08;
+ vX_[1062] = vX_[1046] * vX_[186] + vX_[1059] * vX_[195];
+ vX_[1063] = vX_[1061] + vX_[1062] * -0.35;
+ vX_[1064] = 0 - vX_[1063];
+ vX_[1065] = 0 - vX_[166];
+ vX_[1066] = -0.08 * vX_[186];
+ vX_[1067] = vX_[1047] * vX_[186] + vX_[1054] * vX_[1065] + vX_[1057] * vX_[1066];
+ vX_[1068] = vX_[1047] * vX_[166] + vX_[1054] * vX_[186] + vX_[1057] * vX_[201];
+ vX_[1069] = 0 - vX_[167];
+ vX_[1070] = vX_[1057] * -1;
+ vX_[1071] = vX_[1067] * 1 / vX_[183];
+ vX_[1072] = vX_[1068] * 1 / vX_[183];
+ vX_[1073] = vX_[1070] * 1 / vX_[183];
+ vX_[1074] = vX_[1062] * 1 / vX_[183];
+ vX_[1075] = vX_[1046] * vX_[166] + vX_[1059] * vX_[186];
+ vX_[1076] = vX_[1075] * 1 / vX_[183];
+ vX_[1070] = vX_[1070] - (vX_[1071] * vX_[190] + vX_[1072] * vX_[181] + vX_[1073] * vX_[183] + vX_[1074] * 2.1e-05 +
+ vX_[1076] * -0.000102);
+ vX_[1077] = 0.35 * vX_[169];
+ vX_[1078] = vX_[1067] * vX_[169] + vX_[1068] * vX_[1069] + vX_[1070] * vX_[1077];
+ vX_[1079] = 0 - vX_[1078];
+ vX_[1080] = vX_[235] * vX_[186];
+ vX_[1081] = vX_[235] * vX_[166];
+ vX_[1082] = vX_[1081] * vX_[169];
+ vX_[1083] = vX_[1080] * vX_[167] + vX_[1082];
+ vX_[1084] = vX_[1067] * vX_[167] + vX_[1068] * vX_[169] + vX_[1070] * vX_[168];
+ vX_[1085] = 0 - vX_[1084];
+ vX_[1086] = vX_[1081] * vX_[167];
+ vX_[1087] = vX_[235] * vX_[186];
+ vX_[1088] = vX_[1086] - vX_[1087] * vX_[169];
+ vX_[1089] = vX_[1070] - (vX_[1078] * 38.1956380581338 * 0.110125 + vX_[1084] * 38.1956380581338 * 0.000881 +
+ vX_[1070] * 38.1956380581338 * 0.026181);
+ vX_[1090] = 0 - vX_[1089];
+ vX_[1091] = -0.35 * vX_[235];
+ vX_[1092] = vX_[1091] * vX_[166] - 0.3735 * vX_[235];
+ vX_[1093] = vX_[1062] * vX_[169] + vX_[1075] * vX_[175];
+ vX_[1094] = 0 - vX_[1093];
+ vX_[1095] = 0.3735 * vX_[163];
+ vX_[1096] = 0.08 * vX_[163];
+ vX_[1097] = vX_[1095] * vX_[186] - vX_[1096] * vX_[166];
+ vX_[1098] = 0.08 * vX_[163];
+ vX_[1099] = 0.3735 * vX_[163];
+ vX_[1100] = vX_[1098] * vX_[186] + vX_[1099] * vX_[166] + 0.35 * vX_[163];
+ vX_[1101] = vX_[1097] * vX_[167] + vX_[1100] * vX_[169];
+ vX_[1102] = vX_[1062] * vX_[167] + vX_[1075] * vX_[169];
+ vX_[1103] = 0 - vX_[1102];
+ vX_[1104] = 0.3735 * vX_[163];
+ vX_[1105] = vX_[1096] * vX_[186] + vX_[1104] * vX_[166] + 0.35 * vX_[163];
+ vX_[1106] = 0.08 * vX_[163];
+ vX_[1107] = 0.3735 * vX_[163];
+ vX_[1108] = vX_[1106] * vX_[166] - vX_[1107] * vX_[186];
+ vX_[1109] = vX_[1105] * vX_[167] + vX_[1108] * vX_[169];
+ vX_[1110] = 0 - vX_[1089];
+ vX_[1111] = 0 - vX_[235];
+ vX_[1112] = 0 - vX_[1093];
+ vX_[1113] = vX_[163] * vX_[186];
+ vX_[1114] = vX_[1113] * vX_[167];
+ vX_[1115] = vX_[163] * vX_[166];
+ vX_[1116] = vX_[1114] + vX_[1115] * vX_[169];
+ vX_[1117] = 0 - vX_[1102];
+ vX_[1118] = vX_[163] * vX_[166];
+ vX_[1119] = vX_[1113] * vX_[169];
+ vX_[1120] = vX_[1118] * vX_[167] - vX_[1119];
+ vX_[1121] = vX_[1110] * vX_[1111] + vX_[1112] * vX_[1116] + vX_[1117] * vX_[1120];
+ vX_[1122] = -0.33 * vX_[186];
+ vX_[1123] = 0.33 * vX_[166];
+ vX_[1124] = -0.3735 + vX_[1122] * vX_[167] - vX_[1123] * vX_[169] - 0.35 * vX_[166];
+ vX_[1125] = 0 - vX_[1093];
+ vX_[1126] = vX_[166] * vX_[167] - vX_[186] * vX_[169];
+ vX_[1127] = 0 - vX_[1102];
+ vX_[1128] = 0 - vX_[186];
+ vX_[1129] = vX_[166] * vX_[169];
+ vX_[1130] = vX_[1128] * vX_[167] - vX_[1129];
+ vX_[1131] = vX_[1125] * vX_[1126] + vX_[1127] * vX_[1130];
+ vX_[1132] = 0 - vX_[1131];
+ vX_[1133] = 0.33 * vX_[163];
+ vX_[1134] = vX_[1133] * vX_[166];
+ vX_[1135] = 0.33 * vX_[163];
+ vX_[1136] = vX_[1135] * vX_[186];
+ vX_[1137] = 0.35 * vX_[163];
+ vX_[1138] = vX_[1134] * vX_[167] - vX_[1136] * vX_[169] - vX_[1137] * vX_[186] - vX_[1106];
+ vX_[1139] = vX_[1064] * vX_[163] + vX_[1079] * vX_[1083] + vX_[1085] * vX_[1088] + vX_[1090] * vX_[1092] +
+ vX_[1094] * vX_[1101] + vX_[1103] * vX_[1109] + vX_[1121] * vX_[1124] + vX_[1132] * vX_[1138];
+ vX_[1140] = 0.5 * x_in[0];
+ vX_[1141] = cos(vX_[1140]);
+ vX_[1142] = 0.5 * x_in[1];
+ vX_[1143] = cos(vX_[1142]);
+ vX_[1144] = vX_[1141] * vX_[1143];
+ vX_[1145] = 0.5 * x_in[2];
+ vX_[1146] = sin(vX_[1145]);
+ vX_[1147] = sin(vX_[1140]);
+ vX_[1148] = sin(vX_[1142]);
+ vX_[1149] = vX_[1147] * vX_[1148];
+ vX_[1150] = cos(vX_[1145]);
+ vX_[1151] = vX_[1144] * vX_[1146] + vX_[1149] * vX_[1150];
+ vX_[1152] = 2. * vX_[1151];
+ vX_[1153] = vX_[1152] * vX_[1151];
+ vX_[1154] = vX_[1147] * vX_[1143];
+ vX_[1155] = vX_[1141] * vX_[1148];
+ vX_[1156] = vX_[1154] * vX_[1150] + vX_[1155] * vX_[1146];
+ vX_[1157] = 2. * vX_[1156];
+ vX_[1158] = vX_[1157] * vX_[1156];
+ vX_[1159] = 1 - vX_[1153] - vX_[1158];
+ vX_[1160] = 0.33 * vX_[235];
+ vX_[1161] = vX_[1160] * vX_[166];
+ vX_[1162] = 0.33 * vX_[235];
+ vX_[1163] = vX_[1162] * vX_[186];
+ vX_[1164] = 0.35 * vX_[235];
+ vX_[1165] = vX_[1161] * vX_[169] + vX_[1163] * vX_[167] + vX_[1164] * vX_[166];
+ vX_[1166] = 0.33 * vX_[163];
+ vX_[1167] = vX_[1166] * vX_[166];
+ vX_[1168] = 0.33 * vX_[163];
+ vX_[1169] = vX_[1168] * vX_[186];
+ vX_[1170] = 0.35 * vX_[163];
+ vX_[1171] = vX_[1167] * vX_[167] - vX_[1169] * vX_[169] - vX_[1170] * vX_[186] - 0.08 * vX_[163];
+ vX_[1172] = 0.33 * vX_[235];
+ vX_[1173] = vX_[1172] * vX_[186];
+ vX_[1174] = 0.33 * vX_[235];
+ vX_[1175] = vX_[1174] * vX_[166];
+ vX_[1176] = vX_[1173] * vX_[167] + vX_[1175] * vX_[169];
+ vX_[1177] = -0.33 * vX_[186];
+ vX_[1178] = vX_[1177] * vX_[167];
+ vX_[1179] = 0.33 * vX_[166];
+ vX_[1180] = vX_[1179] * vX_[169];
+ vX_[1181] = 0.35 * vX_[166];
+ vX_[1182] = -0.3735 + vX_[1178] - vX_[1180] - vX_[1181];
+ vX_[1183] = 0.33 * vX_[163];
+ vX_[1184] = vX_[1183] * vX_[166];
+ vX_[1185] = 0.33 * vX_[163];
+ vX_[1186] = vX_[1185] * vX_[186];
+ vX_[1187] = 0.35 * vX_[163];
+ vX_[1188] = vX_[1184] * vX_[167] - vX_[1186] * vX_[169] - vX_[1187] * vX_[186] - 0.08 * vX_[163];
+ vX_[1189] = vX_[1165] * x_in[31] + vX_[1171] * x_in[30] + vX_[1176] * x_in[32] + x_in[22] + x_in[20] * vX_[1182] -
+ x_in[18] * vX_[1188];
+ vX_[1190] = vX_[1155] * vX_[1150] - vX_[1154] * vX_[1146];
+ vX_[1191] = 2. * vX_[1190];
+ vX_[1192] = vX_[1191] * vX_[1156];
+ vX_[1193] = vX_[1144] * vX_[1150] - vX_[1149] * vX_[1146];
+ vX_[1194] = vX_[1152] * vX_[1193];
+ vX_[1195] = vX_[1192] + vX_[1194];
+ vX_[1196] = 0.33 * vX_[166];
+ vX_[1197] = 0.33 * vX_[186];
+ vX_[1198] = vX_[1197] * vX_[169];
+ vX_[1199] = vX_[1196] * vX_[167] - vX_[1198];
+ vX_[1200] = 0.33 * vX_[166];
+ vX_[1198] = vX_[1200] * vX_[167] - vX_[1198] - 0.35 * vX_[186];
+ vX_[1201] = 0.33 * vX_[235];
+ vX_[1202] = vX_[1201] * vX_[166];
+ vX_[1203] = 0.33 * vX_[235];
+ vX_[1204] = vX_[1203] * vX_[186];
+ vX_[1205] = 0.35 * vX_[235];
+ vX_[1206] = 0.207 + vX_[1202] * vX_[167] - vX_[1204] * vX_[169] - vX_[1205] * vX_[186] - 0.08 * vX_[235];
+ vX_[1207] = vX_[1199] * x_in[32] + vX_[1198] * x_in[31] + x_in[21] + x_in[19] * vX_[1188] - x_in[20] * vX_[1206];
+ vX_[1208] = vX_[1152] * vX_[1190];
+ vX_[1209] = vX_[1157] * vX_[1193];
+ vX_[1210] = vX_[1208] - vX_[1209];
+ vX_[1211] = vX_[1168] * vX_[166];
+ vX_[1212] = vX_[1166] * vX_[186];
+ vX_[1213] = 0.35 * vX_[163];
+ vX_[1214] = vX_[1211] * vX_[169] + vX_[1212] * vX_[167] + vX_[1213] * vX_[166];
+ vX_[1215] = vX_[1160] * vX_[186];
+ vX_[1216] = -0.33 * vX_[235];
+ vX_[1217] = vX_[1216] * vX_[166];
+ vX_[1218] = 0.35 * vX_[235];
+ vX_[1219] = 0.08 * vX_[235];
+ vX_[1220] = vX_[1215] * vX_[169] + vX_[1217] * vX_[167] + vX_[1218] * vX_[186] + vX_[1219];
+ vX_[1221] = 0.33 * vX_[163];
+ vX_[1222] = vX_[1221] * vX_[186];
+ vX_[1223] = 0.33 * vX_[163];
+ vX_[1224] = vX_[1223] * vX_[166];
+ vX_[1225] = vX_[1222] * vX_[167] + vX_[1224] * vX_[169];
+ vX_[1226] = vX_[1214] * x_in[31] + vX_[1220] * x_in[30] + vX_[1225] * x_in[32] + x_in[23] + x_in[18] * vX_[1206] -
+ x_in[19] * vX_[1182];
+ vX_[1227] = -1000. * (vX_[1159] * vX_[1189] + vX_[1195] * vX_[1207] + vX_[1210] * vX_[1226]);
+ vX_[1228] = 0.5 * x_in[0];
+ vX_[1229] = cos(vX_[1228]);
+ vX_[1230] = 0.5 * x_in[1];
+ vX_[1231] = cos(vX_[1230]);
+ vX_[1232] = vX_[1229] * vX_[1231];
+ vX_[1233] = 0.5 * x_in[2];
+ vX_[1234] = sin(vX_[1233]);
+ vX_[1235] = sin(vX_[1228]);
+ vX_[1236] = sin(vX_[1230]);
+ vX_[1237] = vX_[1235] * vX_[1236];
+ vX_[1238] = cos(vX_[1233]);
+ vX_[1239] = 2. * (vX_[1232] * vX_[1234] + vX_[1237] * vX_[1238]);
+ vX_[1240] = vX_[1229] * vX_[1236];
+ vX_[1241] = vX_[1235] * vX_[1231];
+ vX_[1242] = vX_[1240] * vX_[1238] - vX_[1241] * vX_[1234];
+ vX_[1243] = vX_[1241] * vX_[1238] + vX_[1240] * vX_[1234];
+ vX_[1244] = 2. * vX_[1243];
+ vX_[1245] = vX_[1232] * vX_[1238] - vX_[1237] * vX_[1234];
+ vX_[1246] = vX_[1239] * vX_[1242] + vX_[1244] * vX_[1245];
+ vX_[1247] = 0.33 * vX_[235];
+ vX_[1248] = vX_[1247] * vX_[166];
+ vX_[1249] = 0.35 * vX_[235];
+ vX_[1250] = 0.207 + vX_[1248] * vX_[167] - vX_[1204] * vX_[169] - vX_[1249] * vX_[186] - 0.08 * vX_[235];
+ vX_[1251] = 2. * vX_[1242];
+ vX_[1252] = vX_[1239] * vX_[1243] - vX_[1251] * vX_[1245];
+ vX_[1181] = -0.3735 + vX_[1178] - vX_[1180] - vX_[1181];
+ vX_[1180] = 1 - vX_[1251] * vX_[1242] - vX_[1244] * vX_[1243];
+ vX_[1178] = 0.33 * vX_[163];
+ vX_[1253] = vX_[1178] * vX_[166];
+ vX_[1254] = 0.33 * vX_[163];
+ vX_[1255] = vX_[1254] * vX_[186];
+ vX_[1256] = 0.35 * vX_[163];
+ vX_[1257] = vX_[1253] * vX_[167] - vX_[1255] * vX_[169] - vX_[1256] * vX_[186] - 0.08 * vX_[163];
+ vX_[1258] = vX_[1246] * vX_[1250] + vX_[1252] * vX_[1181] + vX_[1180] * vX_[1257] + x_in[5];
+ vX_[1259] = exp(100. * vX_[1258]);
+ vX_[1260] = 1 + vX_[1259];
+ vX_[1261] = 1 / vX_[1260];
+ vX_[1262] = vX_[1227] * vX_[1261];
+ vX_[1263] = vX_[1139] * vX_[1262];
+ vX_[1264] = 0 - vX_[1078];
+ vX_[1265] = 0 - vX_[1084];
+ vX_[1266] = 0 - vX_[186];
+ vX_[1129] = vX_[1266] * vX_[167] - vX_[1129];
+ vX_[1267] = 0 - vX_[1089];
+ vX_[1268] = 0.08 + 0.35 * vX_[186] - 0.207 * vX_[235];
+ vX_[1269] = 0 - vX_[1093];
+ vX_[1270] = 0.207 * vX_[163];
+ vX_[1271] = vX_[1270] * vX_[186];
+ vX_[1272] = 0.207 * vX_[163];
+ vX_[1273] = vX_[1272] * vX_[166];
+ vX_[1274] = vX_[1271] * vX_[167] + vX_[1273] * vX_[169];
+ vX_[1275] = 0 - vX_[1102];
+ vX_[1276] = 0.207 * vX_[163];
+ vX_[1277] = vX_[1276] * vX_[166];
+ vX_[1278] = vX_[1272] * vX_[186];
+ vX_[1279] = vX_[1277] * vX_[167] - vX_[1278] * vX_[169];
+ vX_[1280] = 0 - vX_[1121];
+ vX_[1281] = 0.33 * vX_[235];
+ vX_[1282] = vX_[1281] * vX_[166];
+ vX_[1283] = 0.33 * vX_[235];
+ vX_[1284] = vX_[1283] * vX_[186];
+ vX_[1285] = 0.35 * vX_[235];
+ vX_[1219] = 0.207 + vX_[1282] * vX_[167] - vX_[1284] * vX_[169] - vX_[1285] * vX_[186] - vX_[1219];
+ vX_[1286] = 0 - vX_[1089];
+ vX_[1287] = 0 - vX_[1093];
+ vX_[1288] = vX_[235] * vX_[186];
+ vX_[1082] = vX_[1288] * vX_[167] + vX_[1082];
+ vX_[1289] = 0 - vX_[1102];
+ vX_[1290] = vX_[235] * vX_[186];
+ vX_[1086] = vX_[1086] - vX_[1290] * vX_[169];
+ vX_[1291] = vX_[1286] * vX_[163] + vX_[1287] * vX_[1082] + vX_[1289] * vX_[1086];
+ vX_[1292] = vX_[1264] * vX_[1126] + vX_[1265] * vX_[1129] + vX_[1267] * vX_[1268] + vX_[1269] * vX_[1274] +
+ vX_[1275] * vX_[1279] + vX_[1280] * vX_[1219] + vX_[1291] * vX_[1138];
+ vX_[1194] = vX_[1192] - vX_[1194];
+ vX_[1192] = vX_[1191] * vX_[1190];
+ vX_[1153] = 1 - vX_[1153] - vX_[1192];
+ vX_[1293] = vX_[1152] * vX_[1156];
+ vX_[1294] = vX_[1191] * vX_[1193];
+ vX_[1295] = vX_[1293] + vX_[1294];
+ vX_[1296] = -1000. * (vX_[1194] * vX_[1189] + vX_[1153] * vX_[1207] + vX_[1295] * vX_[1226]);
+ vX_[1297] = vX_[1296] * vX_[1261];
+ vX_[1298] = vX_[1292] * vX_[1297];
+ vX_[1299] = 0 - vX_[1263] - vX_[1298];
+ vX_[1300] = 0.5 * x_in[0];
+ vX_[1301] = cos(vX_[1300]);
+ vX_[1302] = 0.5 * x_in[1];
+ vX_[1303] = cos(vX_[1302]);
+ vX_[1304] = vX_[1301] * vX_[1303];
+ vX_[1305] = 0.5 * x_in[2];
+ vX_[1306] = sin(vX_[1305]);
+ vX_[1307] = sin(vX_[1300]);
+ vX_[1308] = sin(vX_[1302]);
+ vX_[1309] = vX_[1307] * vX_[1308];
+ vX_[1310] = cos(vX_[1305]);
+ vX_[1311] = vX_[1304] * vX_[1306] + vX_[1309] * vX_[1310];
+ vX_[1312] = 2. * vX_[1311];
+ vX_[1209] = vX_[1208] + vX_[1209];
+ vX_[1294] = vX_[1293] - vX_[1294];
+ vX_[1192] = 1 - vX_[1192] - vX_[1158];
+ vX_[1158] = -1000. * (vX_[1209] * vX_[1189] + vX_[1294] * vX_[1207] + vX_[1192] * vX_[1226]);
+ vX_[1258] = exp(-100. * (vX_[1258] + 0.02));
+ vX_[1293] = vX_[1158] * vX_[1261] + 5000. * vX_[1258];
+ vX_[1208] = vX_[1139] * vX_[1293];
+ vX_[1313] = 0 - vX_[1063];
+ vX_[1314] = 0 - vX_[235];
+ vX_[1315] = 0 - vX_[1078];
+ vX_[1316] = vX_[163] * vX_[166];
+ vX_[1114] = vX_[1114] + vX_[1316] * vX_[169];
+ vX_[1317] = 0 - vX_[1084];
+ vX_[1318] = vX_[163] * vX_[166];
+ vX_[1119] = vX_[1318] * vX_[167] - vX_[1119];
+ vX_[1319] = 0 - vX_[1089];
+ vX_[1320] = -0.35 * vX_[163];
+ vX_[1321] = vX_[1320] * vX_[166] - 0.3735 * vX_[163];
+ vX_[1322] = 0 - vX_[1093];
+ vX_[1323] = 0.08 * vX_[235] - 0.207;
+ vX_[1324] = 0.3735 * vX_[235];
+ vX_[1325] = vX_[1323] * vX_[166] - vX_[1324] * vX_[186];
+ vX_[1326] = 0.207 - 0.08 * vX_[235];
+ vX_[1327] = -0.3735 * vX_[235];
+ vX_[1328] = vX_[1326] * vX_[186] + vX_[1327] * vX_[166] - 0.35 * vX_[235];
+ vX_[1329] = vX_[1325] * vX_[167] + vX_[1328] * vX_[169];
+ vX_[1330] = 0 - vX_[1102];
+ vX_[1331] = 0.207 - 0.08 * vX_[235];
+ vX_[1332] = -0.3735 * vX_[235];
+ vX_[1333] = vX_[1331] * vX_[186] + vX_[1332] * vX_[166] - 0.35 * vX_[235];
+ vX_[1334] = 0.207 - 0.08 * vX_[235];
+ vX_[1335] = 0.3735 * vX_[235];
+ vX_[1336] = vX_[1334] * vX_[166] + vX_[1335] * vX_[186];
+ vX_[1337] = vX_[1333] * vX_[167] + vX_[1336] * vX_[169];
+ vX_[1338] = 0 - vX_[1291];
+ vX_[1339] = vX_[1313] * vX_[1314] + vX_[1315] * vX_[1114] + vX_[1317] * vX_[1119] + vX_[1319] * vX_[1321] +
+ vX_[1322] * vX_[1329] + vX_[1330] * vX_[1337] + vX_[1338] * vX_[1124] + vX_[1131] * vX_[1219];
+ vX_[1340] = vX_[1339] * vX_[1262];
+ vX_[1341] = vX_[1208] + vX_[1340];
+ vX_[1342] = vX_[1301] * vX_[1308];
+ vX_[1343] = vX_[1307] * vX_[1303];
+ vX_[1344] = vX_[1342] * vX_[1310] - vX_[1343] * vX_[1306];
+ vX_[1345] = vX_[1292] * vX_[1293];
+ vX_[1346] = vX_[1339] * vX_[1297];
+ vX_[1347] = vX_[1345] + vX_[1346];
+ vX_[1348] = vX_[1343] * vX_[1310] + vX_[1342] * vX_[1306];
+ vX_[1349] = vX_[1292] * vX_[1262];
+ vX_[1350] = vX_[1139] * vX_[1297];
+ vX_[1351] = vX_[1349] - vX_[1350];
+ vX_[1352] = vX_[1304] * vX_[1310] - vX_[1309] * vX_[1306];
+ vX_[1299] = vX_[1299] * vX_[1312] +
+ (vX_[1299] * vX_[1311] + vX_[1341] * vX_[1344] + vX_[1347] * vX_[1348] + vX_[1351] * vX_[1352]) * 2.;
+ vX_[1346] = 0 - vX_[1345] + vX_[1346];
+ vX_[1345] = 2. * vX_[1344];
+ vX_[1340] = vX_[1208] - vX_[1340];
+ vX_[1208] = 2. * vX_[1348];
+ vX_[1351] = vX_[1351] * vX_[1312] + vX_[1346] * vX_[1345] + vX_[1340] * vX_[1208];
+ vX_[1353] = 0 - vX_[1351];
+ vX_[1354] = vX_[1299] * vX_[1310] + vX_[1353] * vX_[1306];
+ vX_[1355] = vX_[1339] * vX_[1293];
+ vX_[1298] = 0 - vX_[1355] - vX_[1298];
+ vX_[1350] = vX_[1349] + vX_[1350];
+ vX_[1298] = vX_[1341] * vX_[1312] + vX_[1298] * vX_[1345] +
+ (vX_[1298] * vX_[1344] + vX_[1350] * vX_[1348] + vX_[1346] * vX_[1352]) * 2.;
+ vX_[1346] = 0 - vX_[1298];
+ vX_[1355] = 0 - vX_[1355] - vX_[1263];
+ vX_[1355] = vX_[1347] * vX_[1312] + vX_[1350] * vX_[1345] + vX_[1355] * vX_[1208] +
+ (vX_[1355] * vX_[1348] + vX_[1340] * vX_[1352]) * 2.;
+ vX_[1350] = vX_[1346] * vX_[1306] + vX_[1355] * vX_[1310];
+ vX_[1340] = cos(vX_[1300]);
+ vX_[1347] = vX_[1298] * vX_[1310] + vX_[1355] * vX_[1306];
+ vX_[1263] = vX_[1299] * vX_[1306] + vX_[1351] * vX_[1310];
+ vX_[1300] = sin(vX_[1300]);
+ vX_[1341] = -0.207 * vX_[354];
+ vX_[1349] =
+ vX_[714] * vX_[354] + vX_[738] * vX_[273] + vX_[669] * vX_[368] + vX_[673] * vX_[366] + vX_[162] * vX_[1341];
+ vX_[1356] = vX_[632] + vX_[669] * 0.207;
+ vX_[1357] = vX_[1356] * 1 / vX_[351];
+ vX_[1358] = vX_[1349] * 1 / vX_[351];
+ vX_[1359] = 0 - vX_[273];
+ vX_[1360] = 0.3735 * vX_[354];
+ vX_[1361] = 0.3735 * vX_[273];
+ vX_[1362] =
+ vX_[714] * vX_[1359] + vX_[738] * vX_[354] + vX_[669] * vX_[1360] + vX_[673] * vX_[1361] + vX_[162] * vX_[274];
+ vX_[1363] = vX_[1362] * 1 / vX_[351];
+ vX_[1364] = vX_[162] * 1 / vX_[351];
+ vX_[1365] = vX_[669] * vX_[354] + vX_[673] * vX_[273];
+ vX_[1366] = vX_[1365] * 1 / vX_[351];
+ vX_[1367] = vX_[669] * vX_[367] + vX_[673] * vX_[354];
+ vX_[1368] = vX_[1367] * 1 / vX_[351];
+ vX_[1369] = vX_[162] - (vX_[1357] * vX_[363] + vX_[1358] * vX_[325] + vX_[1363] * vX_[316] + vX_[1364] * vX_[351] +
+ vX_[1366] * vX_[376] + vX_[1368] * vX_[385]);
+ vX_[1370] = vX_[1349] + vX_[1369] * 0.08;
+ vX_[1371] = vX_[1369] * vX_[304] + vX_[1367] * vX_[276];
+ vX_[1372] = vX_[1370] + vX_[1371] * -0.35;
+ vX_[1373] = 0 - vX_[1372];
+ vX_[1374] = 0 - vX_[303];
+ vX_[1375] = 0 - vX_[275];
+ vX_[1376] = 0.08 * vX_[303];
+ vX_[1377] = vX_[1356] * vX_[1374] + vX_[1362] * vX_[1375] + vX_[1365] * vX_[1376];
+ vX_[1378] = 0 - vX_[275];
+ vX_[1379] = vX_[1356] * vX_[1378] + vX_[1362] * vX_[303] + vX_[1365] * vX_[321];
+ vX_[1380] = 0 - vX_[279];
+ vX_[1381] = vX_[1377] * 1 / vX_[300];
+ vX_[1382] = vX_[1379] * 1 / vX_[300];
+ vX_[1383] = vX_[1365] * 1 / vX_[300];
+ vX_[1384] = vX_[1371] * 1 / vX_[300];
+ vX_[1385] = vX_[1369] * vX_[276] + vX_[1367] * vX_[303];
+ vX_[1386] = vX_[1385] * 1 / vX_[300];
+ vX_[1387] = vX_[1365] - (vX_[1381] * vX_[311] + vX_[1382] * vX_[298] + vX_[1383] * vX_[300] + vX_[1384] * vX_[307] +
+ vX_[1386] * vX_[288]);
+ vX_[1388] = 0.35 * vX_[277];
+ vX_[1389] = vX_[1377] * vX_[277] + vX_[1379] * vX_[1380] + vX_[1387] * vX_[1388];
+ vX_[1390] = 0 - vX_[1389];
+ vX_[1391] = 0 - vX_[354];
+ vX_[1392] = vX_[1391] * vX_[303];
+ vX_[1393] = vX_[354] * vX_[275];
+ vX_[1394] = vX_[1393] * vX_[277];
+ vX_[1395] = vX_[1392] * vX_[279] - vX_[1394];
+ vX_[1396] = vX_[1377] * vX_[279] + vX_[1379] * vX_[277] + vX_[1387] * vX_[282];
+ vX_[1397] = 0 - vX_[1396];
+ vX_[1398] = vX_[354] * vX_[303];
+ vX_[1399] = vX_[1393] * vX_[279];
+ vX_[1400] = vX_[1398] * vX_[277] - vX_[1399];
+ vX_[1401] = vX_[1387] - (vX_[1389] * 38.1956380581338 * 0.1104774 + vX_[1396] * 38.1956380581338 * -0.0004405 +
+ vX_[1387] * 38.1956380581338 * 0.026181);
+ vX_[1402] = 0 - vX_[1401];
+ vX_[1403] = 0.35 * vX_[354];
+ vX_[1404] = vX_[1403] * vX_[275] - 0.3735 * vX_[354];
+ vX_[1405] = vX_[1371] * vX_[277] + vX_[1385] * vX_[280];
+ vX_[1406] = 0 - vX_[1405];
+ vX_[1407] = -0.08 * vX_[273];
+ vX_[1408] = 0.3735 * vX_[273];
+ vX_[1409] = vX_[1407] * vX_[275] - vX_[1408] * vX_[303];
+ vX_[1410] = 0.08 * vX_[273];
+ vX_[1411] = -0.3735 * vX_[273];
+ vX_[1412] = vX_[1410] * vX_[303] + vX_[1411] * vX_[275] + 0.35 * vX_[273];
+ vX_[1413] = vX_[1409] * vX_[279] + vX_[1412] * vX_[277];
+ vX_[1414] = vX_[1371] * vX_[279] + vX_[1385] * vX_[277];
+ vX_[1415] = 0 - vX_[1414];
+ vX_[1416] = 0.08 * vX_[273];
+ vX_[1417] = -0.3735 * vX_[273];
+ vX_[1418] = vX_[1416] * vX_[303] + vX_[1417] * vX_[275] + 0.35 * vX_[273];
+ vX_[1419] = 0.08 * vX_[273];
+ vX_[1420] = 0.3735 * vX_[273];
+ vX_[1421] = vX_[1419] * vX_[275] + vX_[1420] * vX_[303];
+ vX_[1422] = vX_[1418] * vX_[279] + vX_[1421] * vX_[277];
+ vX_[1423] = 0 - vX_[1401];
+ vX_[1424] = 0 - vX_[1405];
+ vX_[1425] = vX_[273] * vX_[303];
+ vX_[1426] = vX_[1425] * vX_[279];
+ vX_[1427] = vX_[273] * vX_[275];
+ vX_[1428] = vX_[1426] + vX_[1427] * vX_[277];
+ vX_[1429] = 0 - vX_[1414];
+ vX_[1430] = vX_[1425] * vX_[277];
+ vX_[1431] = vX_[1427] * vX_[279] - vX_[1430];
+ vX_[1432] = vX_[1423] * vX_[354] + vX_[1424] * vX_[1428] + vX_[1429] * vX_[1431];
+ vX_[1433] = -0.33 * vX_[303];
+ vX_[1434] = 0.33 * vX_[275];
+ vX_[1435] = 0.3735 + vX_[1433] * vX_[279] - vX_[1434] * vX_[277] - 0.35 * vX_[275];
+ vX_[1436] = 0 - vX_[1405];
+ vX_[1437] = vX_[275] * vX_[279] - vX_[303] * vX_[277];
+ vX_[1438] = 0 - vX_[1414];
+ vX_[1439] = 0 - vX_[303];
+ vX_[1440] = vX_[275] * vX_[277];
+ vX_[1441] = vX_[1439] * vX_[279] - vX_[1440];
+ vX_[1442] = vX_[1436] * vX_[1437] + vX_[1438] * vX_[1441];
+ vX_[1443] = 0 - vX_[1442];
+ vX_[1444] = 0.33 * vX_[273];
+ vX_[1445] = vX_[1444] * vX_[275];
+ vX_[1446] = 0.33 * vX_[273];
+ vX_[1447] = vX_[1446] * vX_[303];
+ vX_[1448] = 0.35 * vX_[273];
+ vX_[1449] = vX_[1445] * vX_[279] - vX_[1447] * vX_[277] - vX_[1448] * vX_[303] - 0.08 * vX_[273];
+ vX_[1450] = vX_[1373] * vX_[273] + vX_[1390] * vX_[1395] + vX_[1397] * vX_[1400] + vX_[1402] * vX_[1404] +
+ vX_[1406] * vX_[1413] + vX_[1415] * vX_[1422] + vX_[1432] * vX_[1435] + vX_[1443] * vX_[1449];
+ vX_[1451] = 0.5 * x_in[0];
+ vX_[1452] = cos(vX_[1451]);
+ vX_[1453] = 0.5 * x_in[1];
+ vX_[1454] = cos(vX_[1453]);
+ vX_[1455] = vX_[1452] * vX_[1454];
+ vX_[1456] = 0.5 * x_in[2];
+ vX_[1457] = sin(vX_[1456]);
+ vX_[1458] = sin(vX_[1451]);
+ vX_[1459] = sin(vX_[1453]);
+ vX_[1460] = vX_[1458] * vX_[1459];
+ vX_[1461] = cos(vX_[1456]);
+ vX_[1462] = vX_[1455] * vX_[1457] + vX_[1460] * vX_[1461];
+ vX_[1463] = 2. * vX_[1462];
+ vX_[1464] = vX_[1463] * vX_[1462];
+ vX_[1465] = vX_[1458] * vX_[1454];
+ vX_[1466] = vX_[1452] * vX_[1459];
+ vX_[1467] = vX_[1465] * vX_[1461] + vX_[1466] * vX_[1457];
+ vX_[1468] = 2. * vX_[1467];
+ vX_[1469] = vX_[1468] * vX_[1467];
+ vX_[1470] = 1 - vX_[1464] - vX_[1469];
+ vX_[1471] = -0.33 * vX_[354];
+ vX_[1472] = vX_[1471] * vX_[303];
+ vX_[1473] = sin(x_in[11]);
+ vX_[1474] = 0.33 * vX_[354];
+ vX_[1475] = vX_[1474] * vX_[275];
+ vX_[1476] = 0.35 * vX_[354];
+ vX_[1477] = vX_[1472] * vX_[1473] - vX_[1475] * vX_[277] - vX_[1476] * vX_[275];
+ vX_[1478] = 0.33 * vX_[273];
+ vX_[1479] = vX_[1478] * vX_[303];
+ vX_[1480] = -0.33 * vX_[273];
+ vX_[1481] = vX_[1480] * vX_[275];
+ vX_[1482] = 0.35 * vX_[273];
+ vX_[1483] = vX_[1479] * vX_[277] + vX_[1481] * vX_[1473] + vX_[1482] * vX_[303] + 0.08 * vX_[273];
+ vX_[1484] = -0.33 * vX_[354];
+ vX_[1485] = vX_[1484] * vX_[303];
+ vX_[1486] = 0.33 * vX_[354];
+ vX_[1487] = vX_[1486] * vX_[275];
+ vX_[1488] = vX_[1485] * vX_[1473] - vX_[1487] * vX_[277];
+ vX_[1489] = -0.33 * vX_[303];
+ vX_[1490] = 0.33 * vX_[275];
+ vX_[1491] = vX_[1490] * vX_[277];
+ vX_[1492] = 0.3735 + vX_[1489] * vX_[1473] - vX_[1491] - 0.35 * vX_[275];
+ vX_[1493] = 0.33 * vX_[273];
+ vX_[1494] = vX_[1493] * vX_[275];
+ vX_[1495] = 0.33 * vX_[273];
+ vX_[1496] = vX_[1495] * vX_[303];
+ vX_[1497] = 0.35 * vX_[273];
+ vX_[1498] = vX_[1494] * vX_[1473] - vX_[1496] * vX_[277] - vX_[1497] * vX_[303] - 0.08 * vX_[273];
+ vX_[1499] = vX_[1477] * x_in[28] + vX_[1483] * x_in[27] + vX_[1488] * x_in[29] + x_in[22] + x_in[20] * vX_[1492] -
+ x_in[18] * vX_[1498];
+ vX_[1500] = vX_[1466] * vX_[1461] - vX_[1465] * vX_[1457];
+ vX_[1501] = 2. * vX_[1500];
+ vX_[1502] = vX_[1501] * vX_[1467];
+ vX_[1503] = vX_[1455] * vX_[1461] - vX_[1460] * vX_[1457];
+ vX_[1504] = vX_[1463] * vX_[1503];
+ vX_[1505] = vX_[1502] + vX_[1504];
+ vX_[1506] = 0.33 * vX_[275];
+ vX_[1507] = 0.33 * vX_[303];
+ vX_[1508] = vX_[1506] * vX_[1473] - vX_[1507] * vX_[277];
+ vX_[1509] = 0.33 * vX_[275];
+ vX_[1510] = 0.33 * vX_[303];
+ vX_[1511] = vX_[1509] * vX_[1473] - vX_[1510] * vX_[277] - 0.35 * vX_[303];
+ vX_[1512] = 0.33 * vX_[354];
+ vX_[1513] = vX_[1512] * vX_[303];
+ vX_[1514] = -0.33 * vX_[354];
+ vX_[1515] = vX_[1514] * vX_[275];
+ vX_[1516] = 0.35 * vX_[354];
+ vX_[1517] = -0.207 + vX_[1513] * vX_[277] + vX_[1515] * vX_[1473] + vX_[1516] * vX_[303] + 0.08 * vX_[354];
+ vX_[1518] = vX_[1508] * x_in[29] + vX_[1511] * x_in[28] + x_in[21] + x_in[19] * vX_[1498] - x_in[20] * vX_[1517];
+ vX_[1519] = vX_[1463] * vX_[1500];
+ vX_[1520] = vX_[1468] * vX_[1503];
+ vX_[1521] = vX_[1519] - vX_[1520];
+ vX_[1522] = vX_[1478] * vX_[275];
+ vX_[1523] = 0.33 * vX_[273];
+ vX_[1524] = vX_[1523] * vX_[303];
+ vX_[1525] = 0.35 * vX_[273];
+ vX_[1526] = vX_[1522] * vX_[277] + vX_[1524] * vX_[1473] + vX_[1525] * vX_[275];
+ vX_[1527] = vX_[1474] * vX_[303];
+ vX_[1528] = vX_[1471] * vX_[275];
+ vX_[1529] = 0.35 * vX_[354];
+ vX_[1530] = vX_[1527] * vX_[277] + vX_[1528] * vX_[1473] + vX_[1529] * vX_[303] + 0.08 * vX_[354];
+ vX_[1531] = 0.33 * vX_[273];
+ vX_[1532] = vX_[1531] * vX_[303];
+ vX_[1533] = 0.33 * vX_[273];
+ vX_[1534] = vX_[1533] * vX_[275];
+ vX_[1535] = vX_[1532] * vX_[1473] + vX_[1534] * vX_[277];
+ vX_[1536] = vX_[1526] * x_in[28] + vX_[1530] * x_in[27] + vX_[1535] * x_in[29] + x_in[23] + x_in[18] * vX_[1517] -
+ x_in[19] * vX_[1492];
+ vX_[1537] = -1000. * (vX_[1470] * vX_[1499] + vX_[1505] * vX_[1518] + vX_[1521] * vX_[1536]);
+ vX_[1538] = 0.5 * x_in[0];
+ vX_[1539] = cos(vX_[1538]);
+ vX_[1540] = 0.5 * x_in[1];
+ vX_[1541] = cos(vX_[1540]);
+ vX_[1542] = vX_[1539] * vX_[1541];
+ vX_[1543] = 0.5 * x_in[2];
+ vX_[1544] = sin(vX_[1543]);
+ vX_[1545] = sin(vX_[1538]);
+ vX_[1546] = sin(vX_[1540]);
+ vX_[1547] = vX_[1545] * vX_[1546];
+ vX_[1548] = cos(vX_[1543]);
+ vX_[1549] = 2. * (vX_[1542] * vX_[1544] + vX_[1547] * vX_[1548]);
+ vX_[1550] = vX_[1539] * vX_[1546];
+ vX_[1551] = vX_[1545] * vX_[1541];
+ vX_[1552] = vX_[1550] * vX_[1548] - vX_[1551] * vX_[1544];
+ vX_[1553] = vX_[1551] * vX_[1548] + vX_[1550] * vX_[1544];
+ vX_[1554] = 2. * vX_[1553];
+ vX_[1555] = vX_[1542] * vX_[1548] - vX_[1547] * vX_[1544];
+ vX_[1556] = vX_[1549] * vX_[1552] + vX_[1554] * vX_[1555];
+ vX_[1557] = -0.33 * vX_[354];
+ vX_[1558] = vX_[1557] * vX_[275];
+ vX_[1559] = 0.35 * vX_[354];
+ vX_[1560] = -0.207 + vX_[1513] * vX_[277] + vX_[1558] * vX_[1473] + vX_[1559] * vX_[303] + 0.08 * vX_[354];
+ vX_[1561] = 2. * vX_[1552];
+ vX_[1562] = vX_[1549] * vX_[1553] - vX_[1561] * vX_[1555];
+ vX_[1491] = 0.3735 + vX_[1433] * vX_[1473] - vX_[1491] - 0.35 * vX_[275];
+ vX_[1563] = 1 - vX_[1561] * vX_[1552] - vX_[1554] * vX_[1553];
+ vX_[1564] = 0.33 * vX_[273];
+ vX_[1565] = vX_[1564] * vX_[275];
+ vX_[1566] = 0.33 * vX_[273];
+ vX_[1567] = vX_[1566] * vX_[303];
+ vX_[1568] = 0.35 * vX_[273];
+ vX_[1569] = vX_[1565] * vX_[1473] - vX_[1567] * vX_[277] - vX_[1568] * vX_[303] - 0.08 * vX_[273];
+ vX_[1570] = vX_[1556] * vX_[1560] + vX_[1562] * vX_[1491] + vX_[1563] * vX_[1569] + x_in[5];
+ vX_[1571] = exp(100. * vX_[1570]);
+ vX_[1572] = 1 + vX_[1571];
+ vX_[1573] = 1 / vX_[1572];
+ vX_[1574] = vX_[1537] * vX_[1573];
+ vX_[1575] = vX_[1450] * vX_[1574];
+ vX_[1576] = 0 - vX_[1389];
+ vX_[1577] = 0 - vX_[1396];
+ vX_[1578] = 0 - vX_[303];
+ vX_[1440] = vX_[1578] * vX_[279] - vX_[1440];
+ vX_[1579] = 0 - vX_[1401];
+ vX_[1580] = 0.08 + 0.35 * vX_[303] - 0.207 * vX_[354];
+ vX_[1581] = 0 - vX_[1405];
+ vX_[1582] = -0.207 * vX_[273];
+ vX_[1583] = vX_[1582] * vX_[303];
+ vX_[1584] = 0.207 * vX_[273];
+ vX_[1585] = vX_[1584] * vX_[275];
+ vX_[1586] = vX_[1583] * vX_[279] - vX_[1585] * vX_[277];
+ vX_[1587] = 0 - vX_[1414];
+ vX_[1588] = 0.207 * vX_[273];
+ vX_[1589] = vX_[1588] * vX_[303];
+ vX_[1590] = vX_[1584] * vX_[275];
+ vX_[1591] = vX_[1589] * vX_[277] - vX_[1590] * vX_[279];
+ vX_[1592] = 0 - vX_[1432];
+ vX_[1593] = 0.33 * vX_[354];
+ vX_[1594] = vX_[1593] * vX_[303];
+ vX_[1595] = 0.35 * vX_[354];
+ vX_[1596] = -0.207 + vX_[1594] * vX_[277] + vX_[1558] * vX_[279] + vX_[1595] * vX_[303] + 0.08 * vX_[354];
+ vX_[1597] = 0 - vX_[1401];
+ vX_[1598] = 0 - vX_[1405];
+ vX_[1599] = 0 - vX_[354];
+ vX_[1600] = vX_[1599] * vX_[303];
+ vX_[1394] = vX_[1600] * vX_[279] - vX_[1394];
+ vX_[1601] = 0 - vX_[1414];
+ vX_[1602] = vX_[354] * vX_[303];
+ vX_[1399] = vX_[1602] * vX_[277] - vX_[1399];
+ vX_[1603] = vX_[1597] * vX_[273] + vX_[1598] * vX_[1394] + vX_[1601] * vX_[1399];
+ vX_[1604] = vX_[1576] * vX_[1437] + vX_[1577] * vX_[1440] + vX_[1579] * vX_[1580] + vX_[1581] * vX_[1586] +
+ vX_[1587] * vX_[1591] + vX_[1592] * vX_[1596] + vX_[1603] * vX_[1449];
+ vX_[1504] = vX_[1502] - vX_[1504];
+ vX_[1502] = vX_[1501] * vX_[1500];
+ vX_[1464] = 1 - vX_[1464] - vX_[1502];
+ vX_[1605] = vX_[1463] * vX_[1467];
+ vX_[1606] = vX_[1501] * vX_[1503];
+ vX_[1607] = vX_[1605] + vX_[1606];
+ vX_[1608] = -1000. * (vX_[1504] * vX_[1499] + vX_[1464] * vX_[1518] + vX_[1607] * vX_[1536]);
+ vX_[1609] = vX_[1608] * vX_[1573];
+ vX_[1610] = vX_[1604] * vX_[1609];
+ vX_[1611] = 0 - vX_[1575] - vX_[1610];
+ vX_[1612] = 0.5 * x_in[0];
+ vX_[1613] = cos(vX_[1612]);
+ vX_[1614] = 0.5 * x_in[1];
+ vX_[1615] = cos(vX_[1614]);
+ vX_[1616] = vX_[1613] * vX_[1615];
+ vX_[1617] = 0.5 * x_in[2];
+ vX_[1618] = sin(vX_[1617]);
+ vX_[1619] = sin(vX_[1612]);
+ vX_[1620] = sin(vX_[1614]);
+ vX_[1621] = vX_[1619] * vX_[1620];
+ vX_[1622] = cos(vX_[1617]);
+ vX_[1623] = vX_[1616] * vX_[1618] + vX_[1621] * vX_[1622];
+ vX_[1624] = 2. * vX_[1623];
+ vX_[1520] = vX_[1519] + vX_[1520];
+ vX_[1606] = vX_[1605] - vX_[1606];
+ vX_[1502] = 1 - vX_[1502] - vX_[1469];
+ vX_[1469] = -1000. * (vX_[1520] * vX_[1499] + vX_[1606] * vX_[1518] + vX_[1502] * vX_[1536]);
+ vX_[1570] = exp(-100. * (vX_[1570] + 0.02));
+ vX_[1605] = vX_[1469] * vX_[1573] + 5000. * vX_[1570];
+ vX_[1519] = vX_[1450] * vX_[1605];
+ vX_[1625] = 0 - vX_[1372];
+ vX_[1626] = 0 - vX_[1389];
+ vX_[1627] = vX_[273] * vX_[275];
+ vX_[1426] = vX_[1426] + vX_[1627] * vX_[277];
+ vX_[1628] = 0 - vX_[1396];
+ vX_[1430] = vX_[1627] * vX_[279] - vX_[1430];
+ vX_[1629] = 0 - vX_[1401];
+ vX_[1630] = 0.35 * vX_[273];
+ vX_[1631] = 0.3735 * vX_[273] - vX_[1630] * vX_[275];
+ vX_[1632] = 0 - vX_[1405];
+ vX_[1633] = 0.207 - 0.08 * vX_[354];
+ vX_[1634] = 0.3735 * vX_[354];
+ vX_[1635] = vX_[1633] * vX_[275] - vX_[1634] * vX_[303];
+ vX_[1636] = 0.08 * vX_[354] - 0.207;
+ vX_[1637] = -0.3735 * vX_[354];
+ vX_[1638] = vX_[1636] * vX_[303] + vX_[1637] * vX_[275] + 0.35 * vX_[354];
+ vX_[1639] = vX_[1635] * vX_[279] + vX_[1638] * vX_[277];
+ vX_[1640] = 0 - vX_[1414];
+ vX_[1641] = 0.08 * vX_[354] - 0.207;
+ vX_[1642] = -0.3735 * vX_[354];
+ vX_[1643] = vX_[1641] * vX_[303] + vX_[1642] * vX_[275] + 0.35 * vX_[354];
+ vX_[1644] = 0.08 * vX_[354] - 0.207;
+ vX_[1645] = 0.3735 * vX_[354];
+ vX_[1646] = vX_[1644] * vX_[275] + vX_[1645] * vX_[303];
+ vX_[1647] = vX_[1643] * vX_[279] + vX_[1646] * vX_[277];
+ vX_[1648] = 0 - vX_[1603];
+ vX_[1649] = vX_[1625] * vX_[354] + vX_[1626] * vX_[1426] + vX_[1628] * vX_[1430] + vX_[1629] * vX_[1631] +
+ vX_[1632] * vX_[1639] + vX_[1640] * vX_[1647] + vX_[1648] * vX_[1435] + vX_[1442] * vX_[1596];
+ vX_[1650] = vX_[1649] * vX_[1574];
+ vX_[1651] = vX_[1519] + vX_[1650];
+ vX_[1652] = vX_[1613] * vX_[1620];
+ vX_[1653] = vX_[1619] * vX_[1615];
+ vX_[1654] = vX_[1652] * vX_[1622] - vX_[1653] * vX_[1618];
+ vX_[1655] = vX_[1604] * vX_[1605];
+ vX_[1656] = vX_[1649] * vX_[1609];
+ vX_[1657] = vX_[1655] + vX_[1656];
+ vX_[1658] = vX_[1653] * vX_[1622] + vX_[1652] * vX_[1618];
+ vX_[1659] = vX_[1604] * vX_[1574];
+ vX_[1660] = vX_[1450] * vX_[1609];
+ vX_[1661] = vX_[1659] - vX_[1660];
+ vX_[1662] = vX_[1616] * vX_[1622] - vX_[1621] * vX_[1618];
+ vX_[1611] = vX_[1611] * vX_[1624] +
+ (vX_[1611] * vX_[1623] + vX_[1651] * vX_[1654] + vX_[1657] * vX_[1658] + vX_[1661] * vX_[1662]) * 2.;
+ vX_[1656] = 0 - vX_[1655] + vX_[1656];
+ vX_[1655] = 2. * vX_[1654];
+ vX_[1650] = vX_[1519] - vX_[1650];
+ vX_[1519] = 2. * vX_[1658];
+ vX_[1661] = vX_[1661] * vX_[1624] + vX_[1656] * vX_[1655] + vX_[1650] * vX_[1519];
+ vX_[1663] = 0 - vX_[1661];
+ vX_[1664] = vX_[1611] * vX_[1622] + vX_[1663] * vX_[1618];
+ vX_[1665] = vX_[1649] * vX_[1605];
+ vX_[1610] = 0 - vX_[1665] - vX_[1610];
+ vX_[1660] = vX_[1659] + vX_[1660];
+ vX_[1610] = vX_[1651] * vX_[1624] + vX_[1610] * vX_[1655] +
+ (vX_[1610] * vX_[1654] + vX_[1660] * vX_[1658] + vX_[1656] * vX_[1662]) * 2.;
+ vX_[1656] = 0 - vX_[1610];
+ vX_[1665] = 0 - vX_[1665] - vX_[1575];
+ vX_[1665] = vX_[1657] * vX_[1624] + vX_[1660] * vX_[1655] + vX_[1665] * vX_[1519] +
+ (vX_[1665] * vX_[1658] + vX_[1650] * vX_[1662]) * 2.;
+ vX_[1660] = vX_[1656] * vX_[1618] + vX_[1665] * vX_[1622];
+ vX_[1650] = cos(vX_[1612]);
+ vX_[1657] = vX_[1610] * vX_[1622] + vX_[1665] * vX_[1618];
+ vX_[1575] = vX_[1611] * vX_[1618] + vX_[1661] * vX_[1622];
+ vX_[1612] = sin(vX_[1612]);
+ vX_[1651] = 0 - vX_[391];
+ vX_[1659] = 0.207 * vX_[473];
+ vX_[1666] =
+ vX_[714] * vX_[473] + vX_[738] * vX_[1651] + vX_[669] * vX_[488] + vX_[673] * vX_[486] + vX_[162] * vX_[1659];
+ vX_[1667] = vX_[162] * -1;
+ vX_[1668] = vX_[632] * -1 + vX_[669] * 0.207;
+ vX_[1669] = vX_[1668] * 1 / vX_[470];
+ vX_[1670] = vX_[1666] * 1 / vX_[470];
+ vX_[1671] = 0 - vX_[391];
+ vX_[1672] = 0 - vX_[473];
+ vX_[1673] = -0.3735 * vX_[473];
+ vX_[1674] = 0.3735 * vX_[391];
+ vX_[1675] =
+ vX_[714] * vX_[1671] + vX_[738] * vX_[1672] + vX_[669] * vX_[1673] + vX_[673] * vX_[1674] + vX_[162] * vX_[392];
+ vX_[1676] = vX_[1675] * 1 / vX_[470];
+ vX_[1677] = vX_[1667] * 1 / vX_[470];
+ vX_[1678] = vX_[669] * vX_[473] + vX_[673] * vX_[487];
+ vX_[1679] = vX_[1678] * 1 / vX_[470];
+ vX_[1680] = vX_[669] * vX_[487] + vX_[673] * vX_[485];
+ vX_[1681] = vX_[1680] * 1 / vX_[470];
+ vX_[1667] = vX_[1667] - (vX_[1669] * vX_[482] + vX_[1670] * vX_[444] + vX_[1676] * vX_[434] + vX_[1677] * vX_[470] +
+ vX_[1679] * vX_[496] + vX_[1681] * vX_[505]);
+ vX_[1682] = vX_[1666] * -1 + vX_[1667] * -0.08;
+ vX_[1683] = vX_[1667] * vX_[421] + vX_[1680] * vX_[433];
+ vX_[1684] = vX_[1682] + vX_[1683] * -0.35;
+ vX_[1685] = 0 - vX_[1684];
+ vX_[1686] = 0 - vX_[394];
+ vX_[1687] = -0.08 * vX_[421];
+ vX_[1688] = vX_[1668] * vX_[421] + vX_[1675] * vX_[1686] + vX_[1678] * vX_[1687];
+ vX_[1689] = vX_[1668] * vX_[394] + vX_[1675] * vX_[421] + vX_[1678] * vX_[439];
+ vX_[1690] = 0 - vX_[397];
+ vX_[1691] = vX_[1678] * -1;
+ vX_[1692] = vX_[1688] * 1 / vX_[418];
+ vX_[1693] = vX_[1689] * 1 / vX_[418];
+ vX_[1694] = vX_[1691] * 1 / vX_[418];
+ vX_[1695] = vX_[1683] * 1 / vX_[418];
+ vX_[1696] = vX_[1667] * vX_[394] + vX_[1680] * vX_[421];
+ vX_[1697] = vX_[1696] * 1 / vX_[418];
+ vX_[1691] = vX_[1691] - (vX_[1692] * vX_[428] + vX_[1693] * vX_[416] + vX_[1694] * vX_[418] + vX_[1695] * vX_[424] +
+ vX_[1697] * vX_[406]);
+ vX_[1698] = 0.35 * vX_[395];
+ vX_[1699] = vX_[1688] * vX_[395] + vX_[1689] * vX_[1690] + vX_[1691] * vX_[1698];
+ vX_[1700] = 0 - vX_[1699];
+ vX_[1701] = vX_[473] * vX_[421];
+ vX_[1702] = sin(x_in[8]);
+ vX_[1703] = vX_[473] * vX_[394];
+ vX_[1704] = vX_[1703] * vX_[395];
+ vX_[1705] = vX_[1701] * vX_[1702] + vX_[1704];
+ vX_[1706] = vX_[1688] * vX_[397] + vX_[1689] * vX_[395] + vX_[1691] * vX_[400];
+ vX_[1707] = 0 - vX_[1706];
+ vX_[1708] = vX_[1703] * vX_[1702];
+ vX_[1709] = vX_[473] * vX_[421];
+ vX_[1710] = vX_[1708] - vX_[1709] * vX_[395];
+ vX_[1711] = vX_[1691] - (vX_[1699] * 38.1956380581338 * 0.1104774 + vX_[1706] * 38.1956380581338 * -0.0004405 +
+ vX_[1691] * 38.1956380581338 * 0.026181);
+ vX_[1712] = 0 - vX_[1711];
+ vX_[1713] = 0.35 * vX_[473];
+ vX_[1714] = 0.3735 * vX_[473] - vX_[1713] * vX_[394];
+ vX_[1715] = vX_[1683] * vX_[395] + vX_[1696] * vX_[398];
+ vX_[1716] = 0 - vX_[1715];
+ vX_[1717] = -0.08 * vX_[391];
+ vX_[1718] = 0.3735 * vX_[391];
+ vX_[1719] = vX_[1717] * vX_[394] - vX_[1718] * vX_[421];
+ vX_[1720] = 0.08 * vX_[391];
+ vX_[1721] = -0.3735 * vX_[391];
+ vX_[1722] = vX_[1720] * vX_[421] + vX_[1721] * vX_[394] + 0.35 * vX_[391];
+ vX_[1723] = vX_[1719] * vX_[1702] + vX_[1722] * vX_[395];
+ vX_[1724] = vX_[1683] * vX_[397] + vX_[1696] * vX_[395];
+ vX_[1725] = 0 - vX_[1724];
+ vX_[1726] = 0.08 * vX_[391];
+ vX_[1727] = -0.3735 * vX_[391];
+ vX_[1728] = vX_[1726] * vX_[421] + vX_[1727] * vX_[394] + 0.35 * vX_[391];
+ vX_[1729] = 0.08 * vX_[391];
+ vX_[1730] = 0.3735 * vX_[391];
+ vX_[1731] = vX_[1729] * vX_[394] + vX_[1730] * vX_[421];
+ vX_[1732] = vX_[1728] * vX_[1702] + vX_[1731] * vX_[395];
+ vX_[1733] = 0 - vX_[1711];
+ vX_[1734] = 0 - vX_[473];
+ vX_[1735] = 0 - vX_[1715];
+ vX_[1736] = vX_[391] * vX_[421];
+ vX_[1737] = vX_[1736] * vX_[1702];
+ vX_[1738] = vX_[391] * vX_[394];
+ vX_[1739] = vX_[1737] + vX_[1738] * vX_[395];
+ vX_[1740] = 0 - vX_[1724];
+ vX_[1741] = vX_[391] * vX_[394];
+ vX_[1742] = vX_[1736] * vX_[395];
+ vX_[1743] = vX_[1741] * vX_[1702] - vX_[1742];
+ vX_[1744] = vX_[1733] * vX_[1734] + vX_[1735] * vX_[1739] + vX_[1740] * vX_[1743];
+ vX_[1745] = -0.33 * vX_[421];
+ vX_[1746] = 0.33 * vX_[394];
+ vX_[1747] = 0.3735 + vX_[1745] * vX_[1702] - vX_[1746] * vX_[395] - 0.35 * vX_[394];
+ vX_[1748] = 0 - vX_[1715];
+ vX_[1749] = vX_[394] * vX_[1702] - vX_[421] * vX_[395];
+ vX_[1750] = 0 - vX_[1724];
+ vX_[1751] = 0 - vX_[421];
+ vX_[1752] = vX_[394] * vX_[395];
+ vX_[1753] = vX_[1751] * vX_[1702] - vX_[1752];
+ vX_[1754] = vX_[1748] * vX_[1749] + vX_[1750] * vX_[1753];
+ vX_[1755] = 0 - vX_[1754];
+ vX_[1756] = 0.33 * vX_[391];
+ vX_[1757] = vX_[1756] * vX_[394];
+ vX_[1758] = 0.33 * vX_[391];
+ vX_[1759] = vX_[1758] * vX_[421];
+ vX_[1760] = 0.35 * vX_[391];
+ vX_[1761] = vX_[1757] * vX_[1702] - vX_[1759] * vX_[395] - vX_[1760] * vX_[421] - vX_[1726];
+ vX_[1762] = vX_[1685] * vX_[391] + vX_[1700] * vX_[1705] + vX_[1707] * vX_[1710] + vX_[1712] * vX_[1714] +
+ vX_[1716] * vX_[1723] + vX_[1725] * vX_[1732] + vX_[1744] * vX_[1747] + vX_[1755] * vX_[1761];
+ vX_[1763] = 0.5 * x_in[0];
+ vX_[1764] = cos(vX_[1763]);
+ vX_[1765] = 0.5 * x_in[1];
+ vX_[1766] = cos(vX_[1765]);
+ vX_[1767] = vX_[1764] * vX_[1766];
+ vX_[1768] = 0.5 * x_in[2];
+ vX_[1769] = sin(vX_[1768]);
+ vX_[1770] = sin(vX_[1763]);
+ vX_[1771] = sin(vX_[1765]);
+ vX_[1772] = vX_[1770] * vX_[1771];
+ vX_[1773] = cos(vX_[1768]);
+ vX_[1774] = vX_[1767] * vX_[1769] + vX_[1772] * vX_[1773];
+ vX_[1775] = 2. * vX_[1774];
+ vX_[1776] = vX_[1775] * vX_[1774];
+ vX_[1777] = vX_[1770] * vX_[1766];
+ vX_[1778] = vX_[1764] * vX_[1771];
+ vX_[1779] = vX_[1777] * vX_[1773] + vX_[1778] * vX_[1769];
+ vX_[1780] = 2. * vX_[1779];
+ vX_[1781] = vX_[1780] * vX_[1779];
+ vX_[1782] = 1 - vX_[1776] - vX_[1781];
+ vX_[1783] = 0.33 * vX_[473];
+ vX_[1784] = vX_[1783] * vX_[394];
+ vX_[1785] = 0.33 * vX_[473];
+ vX_[1786] = vX_[1785] * vX_[421];
+ vX_[1787] = 0.35 * vX_[473];
+ vX_[1788] = vX_[1784] * vX_[395] + vX_[1786] * vX_[1702] + vX_[1787] * vX_[394];
+ vX_[1789] = 0.33 * vX_[391];
+ vX_[1790] = vX_[1789] * vX_[394];
+ vX_[1791] = 0.33 * vX_[391];
+ vX_[1792] = vX_[1791] * vX_[421];
+ vX_[1793] = 0.35 * vX_[391];
+ vX_[1794] = vX_[1790] * vX_[1702] - vX_[1792] * vX_[395] - vX_[1793] * vX_[421] - 0.08 * vX_[391];
+ vX_[1795] = 0.33 * vX_[473];
+ vX_[1796] = vX_[1795] * vX_[421];
+ vX_[1797] = 0.33 * vX_[473];
+ vX_[1798] = vX_[1797] * vX_[394];
+ vX_[1799] = vX_[1796] * vX_[1702] + vX_[1798] * vX_[395];
+ vX_[1800] = -0.33 * vX_[421];
+ vX_[1801] = 0.33 * vX_[394];
+ vX_[1802] = 0.3735 + vX_[1800] * vX_[1702] - vX_[1801] * vX_[395] - 0.35 * vX_[394];
+ vX_[1803] = 0.33 * vX_[391];
+ vX_[1804] = vX_[1803] * vX_[394];
+ vX_[1805] = 0.33 * vX_[391];
+ vX_[1806] = vX_[1805] * vX_[421];
+ vX_[1807] = 0.35 * vX_[391];
+ vX_[1808] = vX_[1804] * vX_[1702] - vX_[1806] * vX_[395] - vX_[1807] * vX_[421] - 0.08 * vX_[391];
+ vX_[1809] = vX_[1788] * x_in[25] + vX_[1794] * x_in[24] + vX_[1799] * x_in[26] + x_in[22] + x_in[20] * vX_[1802] -
+ x_in[18] * vX_[1808];
+ vX_[1810] = vX_[1778] * vX_[1773] - vX_[1777] * vX_[1769];
+ vX_[1811] = 2. * vX_[1810];
+ vX_[1812] = vX_[1811] * vX_[1779];
+ vX_[1813] = vX_[1767] * vX_[1773] - vX_[1772] * vX_[1769];
+ vX_[1814] = vX_[1775] * vX_[1813];
+ vX_[1815] = vX_[1812] + vX_[1814];
+ vX_[1816] = 0.33 * vX_[394];
+ vX_[1817] = 0.33 * vX_[421];
+ vX_[1818] = vX_[1816] * vX_[1702] - vX_[1817] * vX_[395];
+ vX_[1819] = 0.33 * vX_[394];
+ vX_[1820] = 0.33 * vX_[421];
+ vX_[1821] = vX_[1819] * vX_[1702] - vX_[1820] * vX_[395] - 0.35 * vX_[421];
+ vX_[1822] = 0.33 * vX_[473];
+ vX_[1823] = vX_[1822] * vX_[394];
+ vX_[1824] = 0.33 * vX_[473];
+ vX_[1825] = vX_[1824] * vX_[421];
+ vX_[1826] = 0.35 * vX_[473];
+ vX_[1827] = 0.207 + vX_[1823] * vX_[1702] - vX_[1825] * vX_[395] - vX_[1826] * vX_[421] - 0.08 * vX_[473];
+ vX_[1828] = vX_[1818] * x_in[26] + vX_[1821] * x_in[25] + x_in[21] + x_in[19] * vX_[1808] - x_in[20] * vX_[1827];
+ vX_[1829] = vX_[1775] * vX_[1810];
+ vX_[1830] = vX_[1780] * vX_[1813];
+ vX_[1831] = vX_[1829] - vX_[1830];
+ vX_[1832] = vX_[1791] * vX_[394];
+ vX_[1833] = vX_[1789] * vX_[421];
+ vX_[1834] = 0.35 * vX_[391];
+ vX_[1835] = vX_[1832] * vX_[395] + vX_[1833] * vX_[1702] + vX_[1834] * vX_[394];
+ vX_[1836] = vX_[1783] * vX_[421];
+ vX_[1837] = -0.33 * vX_[473];
+ vX_[1838] = vX_[1837] * vX_[394];
+ vX_[1839] = 0.35 * vX_[473];
+ vX_[1840] = vX_[1836] * vX_[395] + vX_[1838] * vX_[1702] + vX_[1839] * vX_[421] + 0.08 * vX_[473];
+ vX_[1841] = 0.33 * vX_[391];
+ vX_[1842] = vX_[1841] * vX_[421];
+ vX_[1843] = 0.33 * vX_[391];
+ vX_[1844] = vX_[1843] * vX_[394];
+ vX_[1845] = vX_[1842] * vX_[1702] + vX_[1844] * vX_[395];
+ vX_[1846] = vX_[1835] * x_in[25] + vX_[1840] * x_in[24] + vX_[1845] * x_in[26] + x_in[23] + x_in[18] * vX_[1827] -
+ x_in[19] * vX_[1802];
+ vX_[1847] = -1000. * (vX_[1782] * vX_[1809] + vX_[1815] * vX_[1828] + vX_[1831] * vX_[1846]);
+ vX_[1848] = 0.5 * x_in[0];
+ vX_[1849] = cos(vX_[1848]);
+ vX_[1850] = 0.5 * x_in[1];
+ vX_[1851] = cos(vX_[1850]);
+ vX_[1852] = vX_[1849] * vX_[1851];
+ vX_[1853] = 0.5 * x_in[2];
+ vX_[1854] = sin(vX_[1853]);
+ vX_[1855] = sin(vX_[1848]);
+ vX_[1856] = sin(vX_[1850]);
+ vX_[1857] = vX_[1855] * vX_[1856];
+ vX_[1858] = cos(vX_[1853]);
+ vX_[1859] = 2. * (vX_[1852] * vX_[1854] + vX_[1857] * vX_[1858]);
+ vX_[1860] = vX_[1849] * vX_[1856];
+ vX_[1861] = vX_[1855] * vX_[1851];
+ vX_[1862] = vX_[1860] * vX_[1858] - vX_[1861] * vX_[1854];
+ vX_[1863] = vX_[1861] * vX_[1858] + vX_[1860] * vX_[1854];
+ vX_[1864] = 2. * vX_[1863];
+ vX_[1865] = vX_[1852] * vX_[1858] - vX_[1857] * vX_[1854];
+ vX_[1866] = vX_[1859] * vX_[1862] + vX_[1864] * vX_[1865];
+ vX_[1867] = 0.33 * vX_[473];
+ vX_[1868] = vX_[1867] * vX_[394];
+ vX_[1869] = 0.35 * vX_[473];
+ vX_[1870] = 0.207 + vX_[1868] * vX_[1702] - vX_[1825] * vX_[395] - vX_[1869] * vX_[421] - 0.08 * vX_[473];
+ vX_[1871] = 2. * vX_[1862];
+ vX_[1872] = vX_[1859] * vX_[1863] - vX_[1871] * vX_[1865];
+ vX_[1873] = -0.33 * vX_[421];
+ vX_[1874] = 0.33 * vX_[394];
+ vX_[1875] = 0.3735 + vX_[1873] * vX_[1702] - vX_[1874] * vX_[395] - 0.35 * vX_[394];
+ vX_[1876] = 1 - vX_[1871] * vX_[1862] - vX_[1864] * vX_[1863];
+ vX_[1877] = 0.33 * vX_[391];
+ vX_[1878] = vX_[1877] * vX_[394];
+ vX_[1879] = 0.33 * vX_[391];
+ vX_[1880] = vX_[1879] * vX_[421];
+ vX_[1881] = 0.35 * vX_[391];
+ vX_[1882] = vX_[1878] * vX_[1702] - vX_[1880] * vX_[395] - vX_[1881] * vX_[421] - 0.08 * vX_[391];
+ vX_[1883] = vX_[1866] * vX_[1870] + vX_[1872] * vX_[1875] + vX_[1876] * vX_[1882] + x_in[5];
+ vX_[1884] = exp(100. * vX_[1883]);
+ vX_[1885] = 1 + vX_[1884];
+ vX_[1886] = 1 / vX_[1885];
+ vX_[1887] = vX_[1847] * vX_[1886];
+ vX_[1888] = vX_[1762] * vX_[1887];
+ vX_[1889] = 0 - vX_[1699];
+ vX_[1890] = 0 - vX_[1706];
+ vX_[1891] = 0 - vX_[421];
+ vX_[1752] = vX_[1891] * vX_[1702] - vX_[1752];
+ vX_[1892] = 0 - vX_[1711];
+ vX_[1893] = 0.08 + 0.35 * vX_[421] - 0.207 * vX_[473];
+ vX_[1894] = 0 - vX_[1715];
+ vX_[1895] = 0.207 * vX_[391];
+ vX_[1896] = vX_[1895] * vX_[421];
+ vX_[1897] = 0.207 * vX_[391];
+ vX_[1898] = vX_[1897] * vX_[394];
+ vX_[1899] = vX_[1896] * vX_[1702] + vX_[1898] * vX_[395];
+ vX_[1900] = 0 - vX_[1724];
+ vX_[1901] = 0.207 * vX_[391];
+ vX_[1902] = vX_[1901] * vX_[394];
+ vX_[1903] = vX_[1897] * vX_[421];
+ vX_[1904] = vX_[1902] * vX_[1702] - vX_[1903] * vX_[395];
+ vX_[1905] = 0 - vX_[1744];
+ vX_[1906] = 0.33 * vX_[473];
+ vX_[1907] = vX_[1906] * vX_[394];
+ vX_[1908] = 0.33 * vX_[473];
+ vX_[1909] = vX_[1908] * vX_[421];
+ vX_[1910] = 0.35 * vX_[473];
+ vX_[1911] = 0.207 + vX_[1907] * vX_[1702] - vX_[1909] * vX_[395] - vX_[1910] * vX_[421] - 0.08 * vX_[473];
+ vX_[1912] = 0 - vX_[1711];
+ vX_[1913] = 0 - vX_[1715];
+ vX_[1914] = vX_[473] * vX_[421];
+ vX_[1704] = vX_[1914] * vX_[1702] + vX_[1704];
+ vX_[1915] = 0 - vX_[1724];
+ vX_[1916] = vX_[473] * vX_[421];
+ vX_[1708] = vX_[1708] - vX_[1916] * vX_[395];
+ vX_[1917] = vX_[1912] * vX_[391] + vX_[1913] * vX_[1704] + vX_[1915] * vX_[1708];
+ vX_[1918] = vX_[1889] * vX_[1749] + vX_[1890] * vX_[1752] + vX_[1892] * vX_[1893] + vX_[1894] * vX_[1899] +
+ vX_[1900] * vX_[1904] + vX_[1905] * vX_[1911] + vX_[1917] * vX_[1761];
+ vX_[1814] = vX_[1812] - vX_[1814];
+ vX_[1812] = vX_[1811] * vX_[1810];
+ vX_[1776] = 1 - vX_[1776] - vX_[1812];
+ vX_[1919] = vX_[1775] * vX_[1779];
+ vX_[1920] = vX_[1811] * vX_[1813];
+ vX_[1921] = vX_[1919] + vX_[1920];
+ vX_[1922] = -1000. * (vX_[1814] * vX_[1809] + vX_[1776] * vX_[1828] + vX_[1921] * vX_[1846]);
+ vX_[1923] = vX_[1922] * vX_[1886];
+ vX_[1924] = vX_[1918] * vX_[1923];
+ vX_[1925] = 0 - vX_[1888] - vX_[1924];
+ vX_[1926] = 0.5 * x_in[0];
+ vX_[1927] = cos(vX_[1926]);
+ vX_[1928] = 0.5 * x_in[1];
+ vX_[1929] = cos(vX_[1928]);
+ vX_[1930] = vX_[1927] * vX_[1929];
+ vX_[1931] = 0.5 * x_in[2];
+ vX_[1932] = sin(vX_[1931]);
+ vX_[1933] = sin(vX_[1926]);
+ vX_[1934] = sin(vX_[1928]);
+ vX_[1935] = vX_[1933] * vX_[1934];
+ vX_[1936] = cos(vX_[1931]);
+ vX_[1937] = vX_[1930] * vX_[1932] + vX_[1935] * vX_[1936];
+ vX_[1938] = 2. * vX_[1937];
+ vX_[1830] = vX_[1829] + vX_[1830];
+ vX_[1920] = vX_[1919] - vX_[1920];
+ vX_[1812] = 1 - vX_[1812] - vX_[1781];
+ vX_[1781] = -1000. * (vX_[1830] * vX_[1809] + vX_[1920] * vX_[1828] + vX_[1812] * vX_[1846]);
+ vX_[1883] = exp(-100. * (vX_[1883] + 0.02));
+ vX_[1919] = vX_[1781] * vX_[1886] + 5000. * vX_[1883];
+ vX_[1829] = vX_[1762] * vX_[1919];
+ vX_[1939] = 0 - vX_[1684];
+ vX_[1940] = 0 - vX_[473];
+ vX_[1941] = 0 - vX_[1699];
+ vX_[1942] = vX_[391] * vX_[394];
+ vX_[1737] = vX_[1737] + vX_[1942] * vX_[395];
+ vX_[1943] = 0 - vX_[1706];
+ vX_[1944] = vX_[391] * vX_[394];
+ vX_[1742] = vX_[1944] * vX_[1702] - vX_[1742];
+ vX_[1945] = 0 - vX_[1711];
+ vX_[1946] = 0.35 * vX_[391];
+ vX_[1947] = 0.3735 * vX_[391] - vX_[1946] * vX_[394];
+ vX_[1948] = 0 - vX_[1715];
+ vX_[1949] = 0.08 * vX_[473] - 0.207;
+ vX_[1950] = 0.3735 * vX_[473];
+ vX_[1951] = vX_[1949] * vX_[394] + vX_[1950] * vX_[421];
+ vX_[1952] = 0.207 - 0.08 * vX_[473];
+ vX_[1953] = 0.3735 * vX_[473];
+ vX_[1954] = vX_[1952] * vX_[421] + vX_[1953] * vX_[394] - 0.35 * vX_[473];
+ vX_[1955] = vX_[1951] * vX_[1702] + vX_[1954] * vX_[395];
+ vX_[1956] = 0 - vX_[1724];
+ vX_[1957] = 0.207 - 0.08 * vX_[473];
+ vX_[1958] = 0.3735 * vX_[473];
+ vX_[1959] = vX_[1957] * vX_[421] + vX_[1958] * vX_[394] - 0.35 * vX_[473];
+ vX_[1960] = 0.207 - 0.08 * vX_[473];
+ vX_[1961] = 0.3735 * vX_[473];
+ vX_[1962] = vX_[1960] * vX_[394] - vX_[1961] * vX_[421];
+ vX_[1963] = vX_[1959] * vX_[1702] + vX_[1962] * vX_[395];
+ vX_[1964] = 0 - vX_[1917];
+ vX_[1965] = vX_[1939] * vX_[1940] + vX_[1941] * vX_[1737] + vX_[1943] * vX_[1742] + vX_[1945] * vX_[1947] +
+ vX_[1948] * vX_[1955] + vX_[1956] * vX_[1963] + vX_[1964] * vX_[1747] + vX_[1754] * vX_[1911];
+ vX_[1966] = vX_[1965] * vX_[1887];
+ vX_[1967] = vX_[1829] + vX_[1966];
+ vX_[1968] = vX_[1927] * vX_[1934];
+ vX_[1969] = vX_[1933] * vX_[1929];
+ vX_[1970] = vX_[1968] * vX_[1936] - vX_[1969] * vX_[1932];
+ vX_[1971] = vX_[1918] * vX_[1919];
+ vX_[1972] = vX_[1965] * vX_[1923];
+ vX_[1973] = vX_[1971] + vX_[1972];
+ vX_[1974] = vX_[1969] * vX_[1936] + vX_[1968] * vX_[1932];
+ vX_[1975] = vX_[1918] * vX_[1887];
+ vX_[1976] = vX_[1762] * vX_[1923];
+ vX_[1977] = vX_[1975] - vX_[1976];
+ vX_[1978] = vX_[1930] * vX_[1936] - vX_[1935] * vX_[1932];
+ vX_[1925] = vX_[1925] * vX_[1938] +
+ (vX_[1925] * vX_[1937] + vX_[1967] * vX_[1970] + vX_[1973] * vX_[1974] + vX_[1977] * vX_[1978]) * 2.;
+ vX_[1972] = 0 - vX_[1971] + vX_[1972];
+ vX_[1971] = 2. * vX_[1970];
+ vX_[1966] = vX_[1829] - vX_[1966];
+ vX_[1829] = 2. * vX_[1974];
+ vX_[1977] = vX_[1977] * vX_[1938] + vX_[1972] * vX_[1971] + vX_[1966] * vX_[1829];
+ vX_[1979] = 0 - vX_[1977];
+ vX_[1980] = vX_[1925] * vX_[1936] + vX_[1979] * vX_[1932];
+ vX_[1981] = vX_[1965] * vX_[1919];
+ vX_[1924] = 0 - vX_[1981] - vX_[1924];
+ vX_[1976] = vX_[1975] + vX_[1976];
+ vX_[1924] = vX_[1967] * vX_[1938] + vX_[1924] * vX_[1971] +
+ (vX_[1924] * vX_[1970] + vX_[1976] * vX_[1974] + vX_[1972] * vX_[1978]) * 2.;
+ vX_[1972] = 0 - vX_[1924];
+ vX_[1981] = 0 - vX_[1981] - vX_[1888];
+ vX_[1981] = vX_[1973] * vX_[1938] + vX_[1976] * vX_[1971] + vX_[1981] * vX_[1829] +
+ (vX_[1981] * vX_[1974] + vX_[1966] * vX_[1978]) * 2.;
+ vX_[1976] = vX_[1972] * vX_[1932] + vX_[1981] * vX_[1936];
+ vX_[1966] = cos(vX_[1926]);
+ vX_[1973] = vX_[1924] * vX_[1936] + vX_[1981] * vX_[1932];
+ vX_[1888] = vX_[1925] * vX_[1932] + vX_[1977] * vX_[1936];
+ vX_[1926] = sin(vX_[1926]);
+ vX_[1967] = vX_[1003] * vX_[1033];
+ vX_[1975] = vX_[892] * vX_[1041];
+ vX_[1982] = vX_[1967] - vX_[1975];
+ vX_[1983] = vX_[1003] * vX_[1002];
+ vX_[1984] = vX_[892] * vX_[1037];
+ vX_[1985] = 1 - vX_[1983] - vX_[1984];
+ vX_[1986] = vX_[1034] * vX_[1037];
+ vX_[1987] = vX_[1003] * vX_[1041];
+ vX_[1988] = vX_[1986] + vX_[1987];
+ vX_[1989] = vX_[1028] * vX_[1982] + vX_[825] * vX_[1985] + vX_[983] * vX_[1988];
+ vX_[1990] = vX_[1989] * vX_[950] * -1000.;
+ vX_[1991] = vX_[1990] * vX_[872];
+ vX_[1992] = vX_[1003] * vX_[1037];
+ vX_[1993] = vX_[1034] * vX_[1041];
+ vX_[1994] = vX_[1992] + vX_[1993];
+ vX_[1987] = vX_[1986] - vX_[1987];
+ vX_[1986] = vX_[1034] * vX_[1033];
+ vX_[1983] = 1 - vX_[1983] - vX_[1986];
+ vX_[1995] = vX_[1028] * vX_[1994] + vX_[825] * vX_[1987] + vX_[983] * vX_[1983];
+ vX_[1996] = vX_[1995] * vX_[950] * -1000.;
+ vX_[1997] = vX_[1996] * vX_[891];
+ vX_[1998] = 0 - vX_[1991] - vX_[1997];
+ vX_[1986] = 1 - vX_[1986] - vX_[1984];
+ vX_[1975] = vX_[1967] + vX_[1975];
+ vX_[1993] = vX_[1992] - vX_[1993];
+ vX_[1028] = vX_[1028] * vX_[1986] + vX_[825] * vX_[1975] + vX_[983] * vX_[1993];
+ vX_[983] = vX_[1028] * vX_[950] * -1000.;
+ vX_[825] = vX_[983] * vX_[872];
+ vX_[1992] = vX_[1990] * vX_[909];
+ vX_[1967] = vX_[825] + vX_[1992];
+ vX_[1984] = vX_[983] * vX_[891];
+ vX_[1999] = vX_[1996] * vX_[909];
+ vX_[2000] = vX_[1984] + vX_[1999];
+ vX_[2001] = vX_[1990] * vX_[891];
+ vX_[2002] = vX_[1996] * vX_[872];
+ vX_[2003] = vX_[2001] - vX_[2002];
+ vX_[1998] = vX_[1998] * vX_[838] +
+ (vX_[1998] * vX_[837] + vX_[1967] * vX_[873] + vX_[2000] * vX_[842] + vX_[2003] * vX_[876]) * 2.;
+ vX_[1999] = 0 - vX_[1984] + vX_[1999];
+ vX_[1992] = vX_[825] - vX_[1992];
+ vX_[2003] = vX_[2003] * vX_[838] + vX_[1999] * vX_[874] + vX_[1992] * vX_[843];
+ vX_[825] = 0 - vX_[2003];
+ vX_[1984] = vX_[1998] * vX_[836] + vX_[825] * vX_[832];
+ vX_[2004] = vX_[983] * vX_[909];
+ vX_[1997] = 0 - vX_[2004] - vX_[1997];
+ vX_[2002] = vX_[2001] + vX_[2002];
+ vX_[1997] = vX_[1967] * vX_[838] + vX_[1997] * vX_[874] +
+ (vX_[1997] * vX_[873] + vX_[2002] * vX_[842] + vX_[1999] * vX_[876]) * 2.;
+ vX_[1999] = 0 - vX_[1997];
+ vX_[2004] = 0 - vX_[2004] - vX_[1991];
+ vX_[2004] = vX_[2000] * vX_[838] + vX_[2002] * vX_[874] + vX_[2004] * vX_[843] +
+ (vX_[2004] * vX_[842] + vX_[1992] * vX_[876]) * 2.;
+ vX_[2002] = vX_[1999] * vX_[832] + vX_[2004] * vX_[836];
+ vX_[1992] = cos(vX_[826]);
+ vX_[2000] = vX_[1997] * vX_[836] + vX_[2004] * vX_[832];
+ vX_[1991] = vX_[1998] * vX_[832] + vX_[2003] * vX_[836];
+ vX_[826] = sin(vX_[826]);
+ vX_[1028] = vX_[1028] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[1028] * vX_[844] + vX_[1989] * vX_[910] + vX_[1995] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[1995] = vX_[1028] * vX_[935];
+ vX_[1989] = vX_[1028] * vX_[939];
+ vX_[1967] = (vX_[1995] * vX_[925] + vX_[1989] * vX_[926]) * 2.;
+ vX_[2001] = 0 - vX_[1989];
+ vX_[2005] = vX_[2001] * vX_[936] + vX_[1995] * vX_[927];
+ vX_[2006] = 0 - vX_[2005];
+ vX_[2007] = vX_[1967] * vX_[921] + vX_[2006] * vX_[917];
+ vX_[2008] = vX_[1028] * vX_[946];
+ vX_[2009] = 0 - vX_[2008];
+ vX_[2009] = vX_[1995] * vX_[922] + vX_[2009] * vX_[936] + (vX_[2009] * vX_[925] + vX_[2001] * vX_[928]) * 2.;
+ vX_[2001] = 0 - vX_[2009];
+ vX_[2008] = 0 - vX_[2008];
+ vX_[2008] = vX_[1989] * vX_[922] + vX_[2008] * vX_[927] + (vX_[2008] * vX_[926] + vX_[1995] * vX_[928]) * 2.;
+ vX_[1989] = vX_[2001] * vX_[917] + vX_[2008] * vX_[921];
+ vX_[1995] = cos(vX_[911]);
+ vX_[2010] = vX_[2009] * vX_[921] + vX_[2008] * vX_[917];
+ vX_[2011] = vX_[1967] * vX_[917] + vX_[2005] * vX_[921];
+ vX_[911] = sin(vX_[911]);
+ vX_[2012] = vX_[1312] * vX_[1344];
+ vX_[2013] = vX_[1208] * vX_[1352];
+ vX_[2014] = vX_[2012] - vX_[2013];
+ vX_[2015] = vX_[1312] * vX_[1311];
+ vX_[2016] = vX_[1208] * vX_[1348];
+ vX_[2017] = 1 - vX_[2015] - vX_[2016];
+ vX_[2018] = vX_[1345] * vX_[1348];
+ vX_[2019] = vX_[1312] * vX_[1352];
+ vX_[2020] = vX_[2018] + vX_[2019];
+ vX_[2021] = vX_[1339] * vX_[2014] + vX_[1139] * vX_[2017] + vX_[1292] * vX_[2020];
+ vX_[2022] = vX_[2021] * vX_[1261] * -1000.;
+ vX_[2023] = vX_[2022] * vX_[1189];
+ vX_[2024] = vX_[1312] * vX_[1348];
+ vX_[2025] = vX_[1345] * vX_[1352];
+ vX_[2026] = vX_[2024] + vX_[2025];
+ vX_[2019] = vX_[2018] - vX_[2019];
+ vX_[2018] = vX_[1345] * vX_[1344];
+ vX_[2015] = 1 - vX_[2015] - vX_[2018];
+ vX_[2027] = vX_[1339] * vX_[2026] + vX_[1139] * vX_[2019] + vX_[1292] * vX_[2015];
+ vX_[2028] = vX_[2027] * vX_[1261] * -1000.;
+ vX_[2029] = vX_[2028] * vX_[1207];
+ vX_[2030] = 0 - vX_[2023] - vX_[2029];
+ vX_[2018] = 1 - vX_[2018] - vX_[2016];
+ vX_[2013] = vX_[2012] + vX_[2013];
+ vX_[2025] = vX_[2024] - vX_[2025];
+ vX_[1339] = vX_[1339] * vX_[2018] + vX_[1139] * vX_[2013] + vX_[1292] * vX_[2025];
+ vX_[1292] = vX_[1339] * vX_[1261] * -1000.;
+ vX_[1139] = vX_[1292] * vX_[1189];
+ vX_[2024] = vX_[2022] * vX_[1226];
+ vX_[2012] = vX_[1139] + vX_[2024];
+ vX_[2016] = vX_[1292] * vX_[1207];
+ vX_[2031] = vX_[2028] * vX_[1226];
+ vX_[2032] = vX_[2016] + vX_[2031];
+ vX_[2033] = vX_[2022] * vX_[1207];
+ vX_[2034] = vX_[2028] * vX_[1189];
+ vX_[2035] = vX_[2033] - vX_[2034];
+ vX_[2030] = vX_[2030] * vX_[1152] +
+ (vX_[2030] * vX_[1151] + vX_[2012] * vX_[1190] + vX_[2032] * vX_[1156] + vX_[2035] * vX_[1193]) * 2.;
+ vX_[2031] = 0 - vX_[2016] + vX_[2031];
+ vX_[2024] = vX_[1139] - vX_[2024];
+ vX_[2035] = vX_[2035] * vX_[1152] + vX_[2031] * vX_[1191] + vX_[2024] * vX_[1157];
+ vX_[1139] = 0 - vX_[2035];
+ vX_[2016] = vX_[2030] * vX_[1150] + vX_[1139] * vX_[1146];
+ vX_[2036] = vX_[1292] * vX_[1226];
+ vX_[2029] = 0 - vX_[2036] - vX_[2029];
+ vX_[2034] = vX_[2033] + vX_[2034];
+ vX_[2029] = vX_[2012] * vX_[1152] + vX_[2029] * vX_[1191] +
+ (vX_[2029] * vX_[1190] + vX_[2034] * vX_[1156] + vX_[2031] * vX_[1193]) * 2.;
+ vX_[2031] = 0 - vX_[2029];
+ vX_[2036] = 0 - vX_[2036] - vX_[2023];
+ vX_[2036] = vX_[2032] * vX_[1152] + vX_[2034] * vX_[1191] + vX_[2036] * vX_[1157] +
+ (vX_[2036] * vX_[1156] + vX_[2024] * vX_[1193]) * 2.;
+ vX_[2034] = vX_[2031] * vX_[1146] + vX_[2036] * vX_[1150];
+ vX_[2024] = cos(vX_[1140]);
+ vX_[2032] = vX_[2029] * vX_[1150] + vX_[2036] * vX_[1146];
+ vX_[2023] = vX_[2030] * vX_[1146] + vX_[2035] * vX_[1150];
+ vX_[1140] = sin(vX_[1140]);
+ vX_[1339] =
+ vX_[1339] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[1339] * vX_[1158] + vX_[2021] * vX_[1227] + vX_[2027] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[2027] = vX_[1339] * vX_[1250];
+ vX_[2021] = vX_[1339] * vX_[1181];
+ vX_[2012] = (vX_[2027] * vX_[1242] + vX_[2021] * vX_[1243]) * 2.;
+ vX_[2033] = 0 - vX_[2021];
+ vX_[2037] = vX_[2033] * vX_[1251] + vX_[2027] * vX_[1244];
+ vX_[2038] = 0 - vX_[2037];
+ vX_[2039] = vX_[2012] * vX_[1238] + vX_[2038] * vX_[1234];
+ vX_[2040] = vX_[1339] * vX_[1257];
+ vX_[2041] = 0 - vX_[2040];
+ vX_[2041] = vX_[2027] * vX_[1239] + vX_[2041] * vX_[1251] + (vX_[2041] * vX_[1242] + vX_[2033] * vX_[1245]) * 2.;
+ vX_[2033] = 0 - vX_[2041];
+ vX_[2040] = 0 - vX_[2040];
+ vX_[2040] = vX_[2021] * vX_[1239] + vX_[2040] * vX_[1244] + (vX_[2040] * vX_[1243] + vX_[2027] * vX_[1245]) * 2.;
+ vX_[2021] = vX_[2033] * vX_[1234] + vX_[2040] * vX_[1238];
+ vX_[2027] = cos(vX_[1228]);
+ vX_[2042] = vX_[2041] * vX_[1238] + vX_[2040] * vX_[1234];
+ vX_[2043] = vX_[2012] * vX_[1234] + vX_[2037] * vX_[1238];
+ vX_[1228] = sin(vX_[1228]);
+ vX_[2044] = vX_[1624] * vX_[1654];
+ vX_[2045] = vX_[1519] * vX_[1662];
+ vX_[2046] = vX_[2044] - vX_[2045];
+ vX_[2047] = vX_[1624] * vX_[1623];
+ vX_[2048] = vX_[1519] * vX_[1658];
+ vX_[2049] = 1 - vX_[2047] - vX_[2048];
+ vX_[2050] = vX_[1655] * vX_[1658];
+ vX_[2051] = vX_[1624] * vX_[1662];
+ vX_[2052] = vX_[2050] + vX_[2051];
+ vX_[2053] = vX_[1649] * vX_[2046] + vX_[1450] * vX_[2049] + vX_[1604] * vX_[2052];
+ vX_[2054] = vX_[2053] * vX_[1573] * -1000.;
+ vX_[2055] = vX_[2054] * vX_[1499];
+ vX_[2056] = vX_[1624] * vX_[1658];
+ vX_[2057] = vX_[1655] * vX_[1662];
+ vX_[2058] = vX_[2056] + vX_[2057];
+ vX_[2051] = vX_[2050] - vX_[2051];
+ vX_[2050] = vX_[1655] * vX_[1654];
+ vX_[2047] = 1 - vX_[2047] - vX_[2050];
+ vX_[2059] = vX_[1649] * vX_[2058] + vX_[1450] * vX_[2051] + vX_[1604] * vX_[2047];
+ vX_[2060] = vX_[2059] * vX_[1573] * -1000.;
+ vX_[2061] = vX_[2060] * vX_[1518];
+ vX_[2062] = 0 - vX_[2055] - vX_[2061];
+ vX_[2050] = 1 - vX_[2050] - vX_[2048];
+ vX_[2045] = vX_[2044] + vX_[2045];
+ vX_[2057] = vX_[2056] - vX_[2057];
+ vX_[1649] = vX_[1649] * vX_[2050] + vX_[1450] * vX_[2045] + vX_[1604] * vX_[2057];
+ vX_[1604] = vX_[1649] * vX_[1573] * -1000.;
+ vX_[1450] = vX_[1604] * vX_[1499];
+ vX_[2056] = vX_[2054] * vX_[1536];
+ vX_[2044] = vX_[1450] + vX_[2056];
+ vX_[2048] = vX_[1604] * vX_[1518];
+ vX_[2063] = vX_[2060] * vX_[1536];
+ vX_[2064] = vX_[2048] + vX_[2063];
+ vX_[2065] = vX_[2054] * vX_[1518];
+ vX_[2066] = vX_[2060] * vX_[1499];
+ vX_[2067] = vX_[2065] - vX_[2066];
+ vX_[2062] = vX_[2062] * vX_[1463] +
+ (vX_[2062] * vX_[1462] + vX_[2044] * vX_[1500] + vX_[2064] * vX_[1467] + vX_[2067] * vX_[1503]) * 2.;
+ vX_[2063] = 0 - vX_[2048] + vX_[2063];
+ vX_[2056] = vX_[1450] - vX_[2056];
+ vX_[2067] = vX_[2067] * vX_[1463] + vX_[2063] * vX_[1501] + vX_[2056] * vX_[1468];
+ vX_[1450] = 0 - vX_[2067];
+ vX_[2048] = vX_[2062] * vX_[1461] + vX_[1450] * vX_[1457];
+ vX_[2068] = vX_[1604] * vX_[1536];
+ vX_[2061] = 0 - vX_[2068] - vX_[2061];
+ vX_[2066] = vX_[2065] + vX_[2066];
+ vX_[2061] = vX_[2044] * vX_[1463] + vX_[2061] * vX_[1501] +
+ (vX_[2061] * vX_[1500] + vX_[2066] * vX_[1467] + vX_[2063] * vX_[1503]) * 2.;
+ vX_[2063] = 0 - vX_[2061];
+ vX_[2068] = 0 - vX_[2068] - vX_[2055];
+ vX_[2068] = vX_[2064] * vX_[1463] + vX_[2066] * vX_[1501] + vX_[2068] * vX_[1468] +
+ (vX_[2068] * vX_[1467] + vX_[2056] * vX_[1503]) * 2.;
+ vX_[2066] = vX_[2063] * vX_[1457] + vX_[2068] * vX_[1461];
+ vX_[2056] = cos(vX_[1451]);
+ vX_[2064] = vX_[2061] * vX_[1461] + vX_[2068] * vX_[1457];
+ vX_[2055] = vX_[2062] * vX_[1457] + vX_[2067] * vX_[1461];
+ vX_[1451] = sin(vX_[1451]);
+ vX_[1649] =
+ vX_[1649] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[1649] * vX_[1469] + vX_[2053] * vX_[1537] + vX_[2059] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[2059] = vX_[1649] * vX_[1560];
+ vX_[2053] = vX_[1649] * vX_[1491];
+ vX_[2044] = (vX_[2059] * vX_[1552] + vX_[2053] * vX_[1553]) * 2.;
+ vX_[2065] = 0 - vX_[2053];
+ vX_[2069] = vX_[2065] * vX_[1561] + vX_[2059] * vX_[1554];
+ vX_[2070] = 0 - vX_[2069];
+ vX_[2071] = vX_[2044] * vX_[1548] + vX_[2070] * vX_[1544];
+ vX_[2072] = vX_[1649] * vX_[1569];
+ vX_[2073] = 0 - vX_[2072];
+ vX_[2073] = vX_[2059] * vX_[1549] + vX_[2073] * vX_[1561] + (vX_[2073] * vX_[1552] + vX_[2065] * vX_[1555]) * 2.;
+ vX_[2065] = 0 - vX_[2073];
+ vX_[2072] = 0 - vX_[2072];
+ vX_[2072] = vX_[2053] * vX_[1549] + vX_[2072] * vX_[1554] + (vX_[2072] * vX_[1553] + vX_[2059] * vX_[1555]) * 2.;
+ vX_[2053] = vX_[2065] * vX_[1544] + vX_[2072] * vX_[1548];
+ vX_[2059] = cos(vX_[1538]);
+ vX_[2074] = vX_[2073] * vX_[1548] + vX_[2072] * vX_[1544];
+ vX_[2075] = vX_[2044] * vX_[1544] + vX_[2069] * vX_[1548];
+ vX_[1538] = sin(vX_[1538]);
+ vX_[2076] = vX_[1938] * vX_[1970];
+ vX_[2077] = vX_[1829] * vX_[1978];
+ vX_[2078] = vX_[2076] - vX_[2077];
+ vX_[2079] = vX_[1938] * vX_[1937];
+ vX_[2080] = vX_[1829] * vX_[1974];
+ vX_[2081] = 1 - vX_[2079] - vX_[2080];
+ vX_[2082] = vX_[1971] * vX_[1974];
+ vX_[2083] = vX_[1938] * vX_[1978];
+ vX_[2084] = vX_[2082] + vX_[2083];
+ vX_[2085] = vX_[1965] * vX_[2078] + vX_[1762] * vX_[2081] + vX_[1918] * vX_[2084];
+ vX_[2086] = vX_[2085] * vX_[1886] * -1000.;
+ vX_[2087] = vX_[2086] * vX_[1809];
+ vX_[2088] = vX_[1938] * vX_[1974];
+ vX_[2089] = vX_[1971] * vX_[1978];
+ vX_[2090] = vX_[2088] + vX_[2089];
+ vX_[2083] = vX_[2082] - vX_[2083];
+ vX_[2082] = vX_[1971] * vX_[1970];
+ vX_[2079] = 1 - vX_[2079] - vX_[2082];
+ vX_[2091] = vX_[1965] * vX_[2090] + vX_[1762] * vX_[2083] + vX_[1918] * vX_[2079];
+ vX_[2092] = vX_[2091] * vX_[1886] * -1000.;
+ vX_[2093] = vX_[2092] * vX_[1828];
+ vX_[2094] = 0 - vX_[2087] - vX_[2093];
+ vX_[2082] = 1 - vX_[2082] - vX_[2080];
+ vX_[2077] = vX_[2076] + vX_[2077];
+ vX_[2089] = vX_[2088] - vX_[2089];
+ vX_[1965] = vX_[1965] * vX_[2082] + vX_[1762] * vX_[2077] + vX_[1918] * vX_[2089];
+ vX_[1918] = vX_[1965] * vX_[1886] * -1000.;
+ vX_[1762] = vX_[1918] * vX_[1809];
+ vX_[2088] = vX_[2086] * vX_[1846];
+ vX_[2076] = vX_[1762] + vX_[2088];
+ vX_[2080] = vX_[1918] * vX_[1828];
+ vX_[2095] = vX_[2092] * vX_[1846];
+ vX_[2096] = vX_[2080] + vX_[2095];
+ vX_[2097] = vX_[2086] * vX_[1828];
+ vX_[2098] = vX_[2092] * vX_[1809];
+ vX_[2099] = vX_[2097] - vX_[2098];
+ vX_[2094] = vX_[2094] * vX_[1775] +
+ (vX_[2094] * vX_[1774] + vX_[2076] * vX_[1810] + vX_[2096] * vX_[1779] + vX_[2099] * vX_[1813]) * 2.;
+ vX_[2095] = 0 - vX_[2080] + vX_[2095];
+ vX_[2088] = vX_[1762] - vX_[2088];
+ vX_[2099] = vX_[2099] * vX_[1775] + vX_[2095] * vX_[1811] + vX_[2088] * vX_[1780];
+ vX_[1762] = 0 - vX_[2099];
+ vX_[2080] = vX_[2094] * vX_[1773] + vX_[1762] * vX_[1769];
+ vX_[2100] = vX_[1918] * vX_[1846];
+ vX_[2093] = 0 - vX_[2100] - vX_[2093];
+ vX_[2098] = vX_[2097] + vX_[2098];
+ vX_[2093] = vX_[2076] * vX_[1775] + vX_[2093] * vX_[1811] +
+ (vX_[2093] * vX_[1810] + vX_[2098] * vX_[1779] + vX_[2095] * vX_[1813]) * 2.;
+ vX_[2095] = 0 - vX_[2093];
+ vX_[2100] = 0 - vX_[2100] - vX_[2087];
+ vX_[2100] = vX_[2096] * vX_[1775] + vX_[2098] * vX_[1811] + vX_[2100] * vX_[1780] +
+ (vX_[2100] * vX_[1779] + vX_[2088] * vX_[1813]) * 2.;
+ vX_[2098] = vX_[2095] * vX_[1769] + vX_[2100] * vX_[1773];
+ vX_[2088] = cos(vX_[1763]);
+ vX_[2096] = vX_[2093] * vX_[1773] + vX_[2100] * vX_[1769];
+ vX_[2087] = vX_[2094] * vX_[1769] + vX_[2099] * vX_[1773];
+ vX_[1763] = sin(vX_[1763]);
+ vX_[1965] =
+ vX_[1965] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[1965] * vX_[1781] + vX_[2085] * vX_[1847] + vX_[2091] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[198] = vX_[1028] + vX_[1339] + vX_[1649] + vX_[1965];
+ vX_[2091] = vX_[1965] * vX_[1870];
+ vX_[2085] = vX_[1965] * vX_[1875];
+ vX_[2076] = (vX_[2091] * vX_[1862] + vX_[2085] * vX_[1863]) * 2.;
+ vX_[2097] = 0 - vX_[2085];
+ vX_[2101] = vX_[2097] * vX_[1871] + vX_[2091] * vX_[1864];
+ vX_[2102] = 0 - vX_[2101];
+ vX_[2103] = vX_[2076] * vX_[1858] + vX_[2102] * vX_[1854];
+ vX_[2104] = vX_[1965] * vX_[1882];
+ vX_[2105] = 0 - vX_[2104];
+ vX_[2105] = vX_[2091] * vX_[1859] + vX_[2105] * vX_[1871] + (vX_[2105] * vX_[1862] + vX_[2097] * vX_[1865]) * 2.;
+ vX_[2097] = 0 - vX_[2105];
+ vX_[2104] = 0 - vX_[2104];
+ vX_[2104] = vX_[2085] * vX_[1859] + vX_[2104] * vX_[1864] + (vX_[2104] * vX_[1863] + vX_[2091] * vX_[1865]) * 2.;
+ vX_[2085] = vX_[2097] * vX_[1854] + vX_[2104] * vX_[1858];
+ vX_[2091] = cos(vX_[1848]);
+ vX_[2106] = vX_[2105] * vX_[1858] + vX_[2104] * vX_[1854];
+ vX_[2107] = vX_[2076] * vX_[1854] + vX_[2101] * vX_[1858];
+ vX_[1848] = sin(vX_[1848]);
+ jac[18] = ((vX_[1043] * vX_[999] + vX_[1039] * vX_[994]) * vX_[1029] -
+ (vX_[1036] * vX_[999] + vX_[952] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[1354] * vX_[1308] + vX_[1350] * vX_[1303]) * vX_[1340] -
+ (vX_[1347] * vX_[1308] + vX_[1263] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[1664] * vX_[1620] + vX_[1660] * vX_[1615]) * vX_[1650] -
+ (vX_[1657] * vX_[1620] + vX_[1575] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[1980] * vX_[1934] + vX_[1976] * vX_[1929]) * vX_[1966] -
+ (vX_[1973] * vX_[1934] + vX_[1888] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[1984] * vX_[834] + vX_[2002] * vX_[829]) * vX_[1992] -
+ (vX_[2000] * vX_[834] + vX_[1991] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[2007] * vX_[919] + vX_[1989] * vX_[914]) * vX_[1995] -
+ (vX_[2010] * vX_[919] + vX_[2011] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[2016] * vX_[1148] + vX_[2034] * vX_[1143]) * vX_[2024] -
+ (vX_[2032] * vX_[1148] + vX_[2023] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[2039] * vX_[1236] + vX_[2021] * vX_[1231]) * vX_[2027] -
+ (vX_[2042] * vX_[1236] + vX_[2043] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[2048] * vX_[1459] + vX_[2066] * vX_[1454]) * vX_[2056] -
+ (vX_[2064] * vX_[1459] + vX_[2055] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[2071] * vX_[1546] + vX_[2053] * vX_[1541]) * vX_[2059] -
+ (vX_[2074] * vX_[1546] + vX_[2075] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[2080] * vX_[1771] + vX_[2098] * vX_[1766]) * vX_[2088] -
+ (vX_[2096] * vX_[1771] + vX_[2087] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[2103] * vX_[1856] + vX_[2085] * vX_[1851]) * vX_[2091] -
+ (vX_[2106] * vX_[1856] + vX_[2107] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[2108] = 0 - vX_[668];
+ vX_[2109] = 0 - vX_[668];
+ vX_[2110] = vX_[666] + vX_[2109] * vX_[664];
+ vX_[2111] = 0 - vX_[2110];
+ vX_[2112] = 0 - vX_[668];
+ vX_[2113] = 0 - vX_[2110];
+ vX_[2114] = vX_[725] + vX_[2112] * vX_[731] + vX_[2113] * vX_[737];
+ vX_[2115] = 0 - vX_[2114];
+ vX_[2116] = (vX_[602] + vX_[2108] * vX_[604] + vX_[2111] * vX_[722] + vX_[2115] * vX_[712]) * 1 / vX_[720];
+ vX_[2117] = 0 - vX_[2116];
+ vX_[2114] = (vX_[2114] + vX_[2117] * vX_[743]) * 1 / vX_[718];
+ vX_[2118] = 0 - vX_[2116];
+ vX_[2119] = 0 - vX_[2114];
+ vX_[2120] = 0 - vX_[2116];
+ vX_[2121] = 0 - vX_[2114];
+ vX_[2110] = (vX_[2110] + vX_[2120] * vX_[689] + vX_[2121] * vX_[736]) * 1 / vX_[721];
+ vX_[2122] = 0 - vX_[2110];
+ vX_[2123] = (vX_[668] + vX_[2118] * vX_[682] + vX_[2119] * vX_[730] + vX_[2122] * vX_[509]) * 1 / vX_[618];
+ vX_[2124] = 0 - vX_[2116];
+ vX_[2125] = 0 - vX_[2114];
+ vX_[2126] = 0 - vX_[2110];
+ vX_[2127] = 0 - vX_[2123];
+ vX_[2128] =
+ (-1 + vX_[2124] * vX_[662] + vX_[2125] * vX_[633] + vX_[2126] * vX_[691] + vX_[2127] * vX_[667]) * 1 / vX_[616];
+ vX_[2129] = 0 - vX_[2116];
+ vX_[2130] = 0 - vX_[2114];
+ vX_[2131] = 0 - vX_[2110];
+ vX_[2132] = 0 - vX_[2123];
+ vX_[2133] = 0 - vX_[2128];
+ vX_[2134] = (vX_[2129] * vX_[510] + vX_[2130] * vX_[518] + vX_[2131] * vX_[690] + vX_[2132] * vX_[628] +
+ vX_[2133] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2135] =
+ vX_[2116] * vX_[126] + vX_[2114] * vX_[1] + vX_[2123] * vX_[140] + vX_[2128] * vX_[138] + vX_[2134] * vX_[706];
+ vX_[2136] = vX_[2110] + vX_[2123] * 0.207;
+ vX_[2137] = vX_[2136] * 1 / vX_[123];
+ vX_[2138] = vX_[2135] * 1 / vX_[123];
+ vX_[2139] =
+ vX_[2116] * vX_[729] + vX_[2114] * vX_[126] + vX_[2123] * vX_[728] + vX_[2128] * vX_[727] + vX_[2134] * vX_[27];
+ vX_[2140] = vX_[2139] * 1 / vX_[123];
+ vX_[2141] = vX_[2134] * 1 / vX_[123];
+ vX_[2142] = vX_[2123] * vX_[126] + vX_[2128] * vX_[1];
+ vX_[2143] = vX_[2142] * 1 / vX_[123];
+ vX_[2144] = vX_[2123] * vX_[139] + vX_[2128] * vX_[126];
+ vX_[2145] = vX_[2144] * 1 / vX_[123];
+ vX_[2146] = vX_[2134] - (vX_[2137] * vX_[135] + vX_[2138] * vX_[97] + vX_[2140] * vX_[88] + vX_[2141] * vX_[123] +
+ vX_[2143] * vX_[148] + vX_[2145] * vX_[157]);
+ vX_[2147] = vX_[2135] + vX_[2146] * 0.08;
+ vX_[2148] = vX_[2146] * vX_[76] + vX_[2144] * vX_[4];
+ vX_[2149] = vX_[2147] + vX_[2148] * -0.35;
+ vX_[2150] = 0 - vX_[2149];
+ vX_[2151] = vX_[2136] * vX_[750] + vX_[2139] * vX_[751] + vX_[2142] * vX_[752];
+ vX_[2152] = vX_[2136] * vX_[754] + vX_[2139] * vX_[75] + vX_[2142] * vX_[93];
+ vX_[2153] = vX_[2151] * 1 / vX_[72];
+ vX_[2154] = vX_[2152] * 1 / vX_[72];
+ vX_[2155] = vX_[2142] * 1 / vX_[72];
+ vX_[2156] = vX_[2148] * 1 / vX_[72];
+ vX_[2157] = vX_[2146] * vX_[4] + vX_[2144] * vX_[75];
+ vX_[2158] = vX_[2157] * 1 / vX_[72];
+ vX_[2159] = vX_[2142] - (vX_[2153] * vX_[83] + vX_[2154] * vX_[70] + vX_[2155] * vX_[72] + vX_[2156] * vX_[79] +
+ vX_[2158] * vX_[60]);
+ vX_[2160] = vX_[2151] * vX_[7] + vX_[2152] * vX_[756] + vX_[2159] * vX_[764];
+ vX_[2161] = 0 - vX_[2160];
+ vX_[2162] = vX_[2151] * vX_[51] + vX_[2152] * vX_[7] + vX_[2159] * vX_[54];
+ vX_[2163] = 0 - vX_[2162];
+ vX_[2164] = vX_[2159] - (vX_[2160] * 38.1956380581338 * 0.1104774 + vX_[2162] * 38.1956380581338 * 0.0004405 +
+ vX_[2159] * 38.1956380581338 * 0.026181);
+ vX_[2165] = 0 - vX_[2164];
+ vX_[2166] = vX_[2148] * vX_[7] + vX_[2157] * vX_[52];
+ vX_[2167] = 0 - vX_[2166];
+ vX_[2168] = vX_[2148] * vX_[51] + vX_[2157] * vX_[7];
+ vX_[2169] = 0 - vX_[2168];
+ vX_[2170] = 0 - vX_[2164];
+ vX_[2171] = 0 - vX_[2166];
+ vX_[2172] = 0 - vX_[2168];
+ vX_[2173] = vX_[2170] * vX_[126] + vX_[2171] * vX_[803] + vX_[2172] * vX_[806];
+ vX_[2174] = 0 - vX_[2166];
+ vX_[2175] = 0 - vX_[2168];
+ vX_[2176] = vX_[2174] * vX_[812] + vX_[2175] * vX_[816];
+ vX_[2177] = 0 - vX_[2176];
+ vX_[2178] = vX_[2150] * vX_[1] + vX_[2161] * vX_[771] + vX_[2163] * vX_[776] + vX_[2165] * vX_[780] +
+ vX_[2167] * vX_[789] + vX_[2169] * vX_[797] + vX_[2173] * vX_[810] + vX_[2177] * vX_[824];
+ vX_[2179] = vX_[2178] * vX_[951];
+ vX_[2180] = 0 - vX_[2160];
+ vX_[2181] = 0 - vX_[2162];
+ vX_[2182] = 0 - vX_[2164];
+ vX_[2183] = 0 - vX_[2166];
+ vX_[2184] = 0 - vX_[2168];
+ vX_[2185] = 0 - vX_[2173];
+ vX_[2186] = 0 - vX_[2164];
+ vX_[2187] = 0 - vX_[2166];
+ vX_[2188] = 0 - vX_[2168];
+ vX_[2189] = vX_[2186] * vX_[1] + vX_[2187] * vX_[770] + vX_[2188] * vX_[775];
+ vX_[2190] = vX_[2180] * vX_[812] + vX_[2181] * vX_[815] + vX_[2182] * vX_[957] + vX_[2183] * vX_[963] +
+ vX_[2184] * vX_[968] + vX_[2185] * vX_[975] + vX_[2189] * vX_[824];
+ vX_[2191] = vX_[2190] * vX_[988];
+ vX_[2192] = 0 - vX_[2179] - vX_[2191];
+ vX_[2193] = vX_[2178] * vX_[984];
+ vX_[2194] = 0 - vX_[2149];
+ vX_[2195] = 0 - vX_[2160];
+ vX_[2196] = 0 - vX_[2162];
+ vX_[2197] = 0 - vX_[2164];
+ vX_[2198] = 0 - vX_[2166];
+ vX_[2199] = 0 - vX_[2168];
+ vX_[2200] = 0 - vX_[2189];
+ vX_[2201] = vX_[2194] * vX_[126] + vX_[2195] * vX_[801] + vX_[2196] * vX_[805] + vX_[2197] * vX_[1010] +
+ vX_[2198] * vX_[1018] + vX_[2199] * vX_[1026] + vX_[2200] * vX_[810] + vX_[2176] * vX_[975];
+ vX_[2202] = vX_[2201] * vX_[951];
+ vX_[2203] = vX_[2193] + vX_[2202];
+ vX_[2204] = vX_[2190] * vX_[984];
+ vX_[2205] = vX_[2201] * vX_[988];
+ vX_[2206] = vX_[2204] + vX_[2205];
+ vX_[2207] = vX_[2190] * vX_[951];
+ vX_[2208] = vX_[2178] * vX_[988];
+ vX_[2209] = vX_[2207] - vX_[2208];
+ vX_[2192] = vX_[2192] * vX_[1003] +
+ (vX_[2192] * vX_[1002] + vX_[2203] * vX_[1033] + vX_[2206] * vX_[1037] + vX_[2209] * vX_[1041]) * 2.;
+ vX_[2205] = 0 - vX_[2204] + vX_[2205];
+ vX_[2202] = vX_[2193] - vX_[2202];
+ vX_[2209] = vX_[2209] * vX_[1003] + vX_[2205] * vX_[1034] + vX_[2202] * vX_[892];
+ vX_[2193] = 0 - vX_[2209];
+ vX_[2204] = vX_[2192] * vX_[1001] + vX_[2193] * vX_[997];
+ vX_[2210] = vX_[2201] * vX_[984];
+ vX_[2191] = 0 - vX_[2210] - vX_[2191];
+ vX_[2208] = vX_[2207] + vX_[2208];
+ vX_[2191] = vX_[2203] * vX_[1003] + vX_[2191] * vX_[1034] +
+ (vX_[2191] * vX_[1033] + vX_[2208] * vX_[1037] + vX_[2205] * vX_[1041]) * 2.;
+ vX_[2205] = 0 - vX_[2191];
+ vX_[2210] = 0 - vX_[2210] - vX_[2179];
+ vX_[2210] = vX_[2206] * vX_[1003] + vX_[2208] * vX_[1034] + vX_[2210] * vX_[892] +
+ (vX_[2210] * vX_[1037] + vX_[2202] * vX_[1041]) * 2.;
+ vX_[2208] = vX_[2205] * vX_[997] + vX_[2210] * vX_[1001];
+ vX_[2202] = vX_[2191] * vX_[1001] + vX_[2210] * vX_[997];
+ vX_[2206] = vX_[2192] * vX_[997] + vX_[2209] * vX_[1001];
+ vX_[2179] = vX_[2116] * vX_[235] + vX_[2114] * vX_[1030] + vX_[2123] * vX_[250] + vX_[2128] * vX_[248] +
+ vX_[2134] * vX_[1038];
+ vX_[2203] = vX_[2134] * -1;
+ vX_[2207] = vX_[2110] * -1 + vX_[2123] * 0.207;
+ vX_[2211] = vX_[2207] * 1 / vX_[232];
+ vX_[2212] = vX_[2179] * 1 / vX_[232];
+ vX_[2213] = vX_[2116] * vX_[1050] + vX_[2114] * vX_[1051] + vX_[2123] * vX_[1052] + vX_[2128] * vX_[1053] +
+ vX_[2134] * vX_[164];
+ vX_[2214] = vX_[2213] * 1 / vX_[232];
+ vX_[2215] = vX_[2203] * 1 / vX_[232];
+ vX_[2216] = vX_[2123] * vX_[235] + vX_[2128] * vX_[249];
+ vX_[2217] = vX_[2216] * 1 / vX_[232];
+ vX_[2218] = vX_[2123] * vX_[249] + vX_[2128] * vX_[247];
+ vX_[2219] = vX_[2218] * 1 / vX_[232];
+ vX_[2203] = vX_[2203] - (vX_[2211] * vX_[244] + vX_[2212] * vX_[206] + vX_[2214] * vX_[196] + vX_[2215] * vX_[232] +
+ vX_[2217] * vX_[258] + vX_[2219] * vX_[267]);
+ vX_[2220] = vX_[2179] * -1 + vX_[2203] * -0.08;
+ vX_[2221] = vX_[2203] * vX_[186] + vX_[2218] * vX_[195];
+ vX_[2222] = vX_[2220] + vX_[2221] * -0.35;
+ vX_[2223] = 0 - vX_[2222];
+ vX_[2224] = vX_[2207] * vX_[186] + vX_[2213] * vX_[1065] + vX_[2216] * vX_[1066];
+ vX_[2225] = vX_[2207] * vX_[166] + vX_[2213] * vX_[186] + vX_[2216] * vX_[201];
+ vX_[2226] = vX_[2216] * -1;
+ vX_[2227] = vX_[2224] * 1 / vX_[183];
+ vX_[2228] = vX_[2225] * 1 / vX_[183];
+ vX_[2229] = vX_[2226] * 1 / vX_[183];
+ vX_[2230] = vX_[2221] * 1 / vX_[183];
+ vX_[2231] = vX_[2203] * vX_[166] + vX_[2218] * vX_[186];
+ vX_[2232] = vX_[2231] * 1 / vX_[183];
+ vX_[2226] = vX_[2226] - (vX_[2227] * vX_[190] + vX_[2228] * vX_[181] + vX_[2229] * vX_[183] + vX_[2230] * 2.1e-05 +
+ vX_[2232] * -0.000102);
+ vX_[2233] = vX_[2224] * vX_[169] + vX_[2225] * vX_[1069] + vX_[2226] * vX_[1077];
+ vX_[2234] = 0 - vX_[2233];
+ vX_[2235] = vX_[2224] * vX_[167] + vX_[2225] * vX_[169] + vX_[2226] * vX_[168];
+ vX_[2236] = 0 - vX_[2235];
+ vX_[2237] = vX_[2226] - (vX_[2233] * 38.1956380581338 * 0.110125 + vX_[2235] * 38.1956380581338 * 0.000881 +
+ vX_[2226] * 38.1956380581338 * 0.026181);
+ vX_[2238] = 0 - vX_[2237];
+ vX_[2239] = vX_[2221] * vX_[169] + vX_[2231] * vX_[175];
+ vX_[2240] = 0 - vX_[2239];
+ vX_[2241] = vX_[2221] * vX_[167] + vX_[2231] * vX_[169];
+ vX_[2242] = 0 - vX_[2241];
+ vX_[2243] = 0 - vX_[2237];
+ vX_[2244] = 0 - vX_[2239];
+ vX_[2245] = 0 - vX_[2241];
+ vX_[2246] = vX_[2243] * vX_[1111] + vX_[2244] * vX_[1116] + vX_[2245] * vX_[1120];
+ vX_[2247] = 0 - vX_[2239];
+ vX_[2248] = 0 - vX_[2241];
+ vX_[2249] = vX_[2247] * vX_[1126] + vX_[2248] * vX_[1130];
+ vX_[2250] = 0 - vX_[2249];
+ vX_[2251] = vX_[2223] * vX_[163] + vX_[2234] * vX_[1083] + vX_[2236] * vX_[1088] + vX_[2238] * vX_[1092] +
+ vX_[2240] * vX_[1101] + vX_[2242] * vX_[1109] + vX_[2246] * vX_[1124] + vX_[2250] * vX_[1138];
+ vX_[2252] = vX_[2251] * vX_[1262];
+ vX_[2253] = 0 - vX_[2233];
+ vX_[2254] = 0 - vX_[2235];
+ vX_[2255] = 0 - vX_[2237];
+ vX_[2256] = 0 - vX_[2239];
+ vX_[2257] = 0 - vX_[2241];
+ vX_[2258] = 0 - vX_[2246];
+ vX_[2259] = 0 - vX_[2237];
+ vX_[2260] = 0 - vX_[2239];
+ vX_[2261] = 0 - vX_[2241];
+ vX_[2262] = vX_[2259] * vX_[163] + vX_[2260] * vX_[1082] + vX_[2261] * vX_[1086];
+ vX_[2263] = vX_[2253] * vX_[1126] + vX_[2254] * vX_[1129] + vX_[2255] * vX_[1268] + vX_[2256] * vX_[1274] +
+ vX_[2257] * vX_[1279] + vX_[2258] * vX_[1219] + vX_[2262] * vX_[1138];
+ vX_[2264] = vX_[2263] * vX_[1297];
+ vX_[2265] = 0 - vX_[2252] - vX_[2264];
+ vX_[2266] = vX_[2251] * vX_[1293];
+ vX_[2267] = 0 - vX_[2222];
+ vX_[2268] = 0 - vX_[2233];
+ vX_[2269] = 0 - vX_[2235];
+ vX_[2270] = 0 - vX_[2237];
+ vX_[2271] = 0 - vX_[2239];
+ vX_[2272] = 0 - vX_[2241];
+ vX_[2273] = 0 - vX_[2262];
+ vX_[2274] = vX_[2267] * vX_[1314] + vX_[2268] * vX_[1114] + vX_[2269] * vX_[1119] + vX_[2270] * vX_[1321] +
+ vX_[2271] * vX_[1329] + vX_[2272] * vX_[1337] + vX_[2273] * vX_[1124] + vX_[2249] * vX_[1219];
+ vX_[2275] = vX_[2274] * vX_[1262];
+ vX_[2276] = vX_[2266] + vX_[2275];
+ vX_[2277] = vX_[2263] * vX_[1293];
+ vX_[2278] = vX_[2274] * vX_[1297];
+ vX_[2279] = vX_[2277] + vX_[2278];
+ vX_[2280] = vX_[2263] * vX_[1262];
+ vX_[2281] = vX_[2251] * vX_[1297];
+ vX_[2282] = vX_[2280] - vX_[2281];
+ vX_[2265] = vX_[2265] * vX_[1312] +
+ (vX_[2265] * vX_[1311] + vX_[2276] * vX_[1344] + vX_[2279] * vX_[1348] + vX_[2282] * vX_[1352]) * 2.;
+ vX_[2278] = 0 - vX_[2277] + vX_[2278];
+ vX_[2275] = vX_[2266] - vX_[2275];
+ vX_[2282] = vX_[2282] * vX_[1312] + vX_[2278] * vX_[1345] + vX_[2275] * vX_[1208];
+ vX_[2266] = 0 - vX_[2282];
+ vX_[2277] = vX_[2265] * vX_[1310] + vX_[2266] * vX_[1306];
+ vX_[2283] = vX_[2274] * vX_[1293];
+ vX_[2264] = 0 - vX_[2283] - vX_[2264];
+ vX_[2281] = vX_[2280] + vX_[2281];
+ vX_[2264] = vX_[2276] * vX_[1312] + vX_[2264] * vX_[1345] +
+ (vX_[2264] * vX_[1344] + vX_[2281] * vX_[1348] + vX_[2278] * vX_[1352]) * 2.;
+ vX_[2278] = 0 - vX_[2264];
+ vX_[2283] = 0 - vX_[2283] - vX_[2252];
+ vX_[2283] = vX_[2279] * vX_[1312] + vX_[2281] * vX_[1345] + vX_[2283] * vX_[1208] +
+ (vX_[2283] * vX_[1348] + vX_[2275] * vX_[1352]) * 2.;
+ vX_[2281] = vX_[2278] * vX_[1306] + vX_[2283] * vX_[1310];
+ vX_[2275] = vX_[2264] * vX_[1310] + vX_[2283] * vX_[1306];
+ vX_[2279] = vX_[2265] * vX_[1306] + vX_[2282] * vX_[1310];
+ vX_[2252] = vX_[2116] * vX_[354] + vX_[2114] * vX_[273] + vX_[2123] * vX_[368] + vX_[2128] * vX_[366] +
+ vX_[2134] * vX_[1341];
+ vX_[2276] = vX_[2110] + vX_[2123] * 0.207;
+ vX_[2280] = vX_[2276] * 1 / vX_[351];
+ vX_[2284] = vX_[2252] * 1 / vX_[351];
+ vX_[2285] = vX_[2116] * vX_[1359] + vX_[2114] * vX_[354] + vX_[2123] * vX_[1360] + vX_[2128] * vX_[1361] +
+ vX_[2134] * vX_[274];
+ vX_[2286] = vX_[2285] * 1 / vX_[351];
+ vX_[2287] = vX_[2134] * 1 / vX_[351];
+ vX_[2288] = vX_[2123] * vX_[354] + vX_[2128] * vX_[273];
+ vX_[2289] = vX_[2288] * 1 / vX_[351];
+ vX_[2290] = vX_[2123] * vX_[367] + vX_[2128] * vX_[354];
+ vX_[2291] = vX_[2290] * 1 / vX_[351];
+ vX_[2292] = vX_[2134] - (vX_[2280] * vX_[363] + vX_[2284] * vX_[325] + vX_[2286] * vX_[316] + vX_[2287] * vX_[351] +
+ vX_[2289] * vX_[376] + vX_[2291] * vX_[385]);
+ vX_[2293] = vX_[2252] + vX_[2292] * 0.08;
+ vX_[2294] = vX_[2292] * vX_[304] + vX_[2290] * vX_[276];
+ vX_[2295] = vX_[2293] + vX_[2294] * -0.35;
+ vX_[2296] = 0 - vX_[2295];
+ vX_[2297] = vX_[2276] * vX_[1374] + vX_[2285] * vX_[1375] + vX_[2288] * vX_[1376];
+ vX_[2298] = vX_[2276] * vX_[1378] + vX_[2285] * vX_[303] + vX_[2288] * vX_[321];
+ vX_[2299] = vX_[2297] * 1 / vX_[300];
+ vX_[2300] = vX_[2298] * 1 / vX_[300];
+ vX_[2301] = vX_[2288] * 1 / vX_[300];
+ vX_[2302] = vX_[2294] * 1 / vX_[300];
+ vX_[2303] = vX_[2292] * vX_[276] + vX_[2290] * vX_[303];
+ vX_[2304] = vX_[2303] * 1 / vX_[300];
+ vX_[2305] = vX_[2288] - (vX_[2299] * vX_[311] + vX_[2300] * vX_[298] + vX_[2301] * vX_[300] + vX_[2302] * vX_[307] +
+ vX_[2304] * vX_[288]);
+ vX_[2306] = vX_[2297] * vX_[277] + vX_[2298] * vX_[1380] + vX_[2305] * vX_[1388];
+ vX_[2307] = 0 - vX_[2306];
+ vX_[2308] = vX_[2297] * vX_[279] + vX_[2298] * vX_[277] + vX_[2305] * vX_[282];
+ vX_[2309] = 0 - vX_[2308];
+ vX_[2310] = vX_[2305] - (vX_[2306] * 38.1956380581338 * 0.1104774 + vX_[2308] * 38.1956380581338 * -0.0004405 +
+ vX_[2305] * 38.1956380581338 * 0.026181);
+ vX_[2311] = 0 - vX_[2310];
+ vX_[2312] = vX_[2294] * vX_[277] + vX_[2303] * vX_[280];
+ vX_[2313] = 0 - vX_[2312];
+ vX_[2314] = vX_[2294] * vX_[279] + vX_[2303] * vX_[277];
+ vX_[2315] = 0 - vX_[2314];
+ vX_[2316] = 0 - vX_[2310];
+ vX_[2317] = 0 - vX_[2312];
+ vX_[2318] = 0 - vX_[2314];
+ vX_[2319] = vX_[2316] * vX_[354] + vX_[2317] * vX_[1428] + vX_[2318] * vX_[1431];
+ vX_[2320] = 0 - vX_[2312];
+ vX_[2321] = 0 - vX_[2314];
+ vX_[2322] = vX_[2320] * vX_[1437] + vX_[2321] * vX_[1441];
+ vX_[2323] = 0 - vX_[2322];
+ vX_[2324] = vX_[2296] * vX_[273] + vX_[2307] * vX_[1395] + vX_[2309] * vX_[1400] + vX_[2311] * vX_[1404] +
+ vX_[2313] * vX_[1413] + vX_[2315] * vX_[1422] + vX_[2319] * vX_[1435] + vX_[2323] * vX_[1449];
+ vX_[2325] = vX_[2324] * vX_[1574];
+ vX_[2326] = 0 - vX_[2306];
+ vX_[2327] = 0 - vX_[2308];
+ vX_[2328] = 0 - vX_[2310];
+ vX_[2329] = 0 - vX_[2312];
+ vX_[2330] = 0 - vX_[2314];
+ vX_[2331] = 0 - vX_[2319];
+ vX_[2332] = 0 - vX_[2310];
+ vX_[2333] = 0 - vX_[2312];
+ vX_[2334] = 0 - vX_[2314];
+ vX_[2335] = vX_[2332] * vX_[273] + vX_[2333] * vX_[1394] + vX_[2334] * vX_[1399];
+ vX_[2336] = vX_[2326] * vX_[1437] + vX_[2327] * vX_[1440] + vX_[2328] * vX_[1580] + vX_[2329] * vX_[1586] +
+ vX_[2330] * vX_[1591] + vX_[2331] * vX_[1596] + vX_[2335] * vX_[1449];
+ vX_[2337] = vX_[2336] * vX_[1609];
+ vX_[2338] = 0 - vX_[2325] - vX_[2337];
+ vX_[2339] = vX_[2324] * vX_[1605];
+ vX_[2340] = 0 - vX_[2295];
+ vX_[2341] = 0 - vX_[2306];
+ vX_[2342] = 0 - vX_[2308];
+ vX_[2343] = 0 - vX_[2310];
+ vX_[2344] = 0 - vX_[2312];
+ vX_[2345] = 0 - vX_[2314];
+ vX_[2346] = 0 - vX_[2335];
+ vX_[2347] = vX_[2340] * vX_[354] + vX_[2341] * vX_[1426] + vX_[2342] * vX_[1430] + vX_[2343] * vX_[1631] +
+ vX_[2344] * vX_[1639] + vX_[2345] * vX_[1647] + vX_[2346] * vX_[1435] + vX_[2322] * vX_[1596];
+ vX_[2348] = vX_[2347] * vX_[1574];
+ vX_[2349] = vX_[2339] + vX_[2348];
+ vX_[2350] = vX_[2336] * vX_[1605];
+ vX_[2351] = vX_[2347] * vX_[1609];
+ vX_[2352] = vX_[2350] + vX_[2351];
+ vX_[2353] = vX_[2336] * vX_[1574];
+ vX_[2354] = vX_[2324] * vX_[1609];
+ vX_[2355] = vX_[2353] - vX_[2354];
+ vX_[2338] = vX_[2338] * vX_[1624] +
+ (vX_[2338] * vX_[1623] + vX_[2349] * vX_[1654] + vX_[2352] * vX_[1658] + vX_[2355] * vX_[1662]) * 2.;
+ vX_[2351] = 0 - vX_[2350] + vX_[2351];
+ vX_[2348] = vX_[2339] - vX_[2348];
+ vX_[2355] = vX_[2355] * vX_[1624] + vX_[2351] * vX_[1655] + vX_[2348] * vX_[1519];
+ vX_[2339] = 0 - vX_[2355];
+ vX_[2350] = vX_[2338] * vX_[1622] + vX_[2339] * vX_[1618];
+ vX_[2356] = vX_[2347] * vX_[1605];
+ vX_[2337] = 0 - vX_[2356] - vX_[2337];
+ vX_[2354] = vX_[2353] + vX_[2354];
+ vX_[2337] = vX_[2349] * vX_[1624] + vX_[2337] * vX_[1655] +
+ (vX_[2337] * vX_[1654] + vX_[2354] * vX_[1658] + vX_[2351] * vX_[1662]) * 2.;
+ vX_[2351] = 0 - vX_[2337];
+ vX_[2356] = 0 - vX_[2356] - vX_[2325];
+ vX_[2356] = vX_[2352] * vX_[1624] + vX_[2354] * vX_[1655] + vX_[2356] * vX_[1519] +
+ (vX_[2356] * vX_[1658] + vX_[2348] * vX_[1662]) * 2.;
+ vX_[2354] = vX_[2351] * vX_[1618] + vX_[2356] * vX_[1622];
+ vX_[2348] = vX_[2337] * vX_[1622] + vX_[2356] * vX_[1618];
+ vX_[2352] = vX_[2338] * vX_[1618] + vX_[2355] * vX_[1622];
+ vX_[2325] = vX_[2116] * vX_[473] + vX_[2114] * vX_[1651] + vX_[2123] * vX_[488] + vX_[2128] * vX_[486] +
+ vX_[2134] * vX_[1659];
+ vX_[2349] = vX_[2134] * -1;
+ vX_[2353] = vX_[2110] * -1 + vX_[2123] * 0.207;
+ vX_[2357] = vX_[2353] * 1 / vX_[470];
+ vX_[2358] = vX_[2325] * 1 / vX_[470];
+ vX_[2359] = vX_[2116] * vX_[1671] + vX_[2114] * vX_[1672] + vX_[2123] * vX_[1673] + vX_[2128] * vX_[1674] +
+ vX_[2134] * vX_[392];
+ vX_[2360] = vX_[2359] * 1 / vX_[470];
+ vX_[2361] = vX_[2349] * 1 / vX_[470];
+ vX_[2362] = vX_[2123] * vX_[473] + vX_[2128] * vX_[487];
+ vX_[2363] = vX_[2362] * 1 / vX_[470];
+ vX_[2364] = vX_[2123] * vX_[487] + vX_[2128] * vX_[485];
+ vX_[2365] = vX_[2364] * 1 / vX_[470];
+ vX_[2349] = vX_[2349] - (vX_[2357] * vX_[482] + vX_[2358] * vX_[444] + vX_[2360] * vX_[434] + vX_[2361] * vX_[470] +
+ vX_[2363] * vX_[496] + vX_[2365] * vX_[505]);
+ vX_[2366] = vX_[2325] * -1 + vX_[2349] * -0.08;
+ vX_[2367] = vX_[2349] * vX_[421] + vX_[2364] * vX_[433];
+ vX_[2368] = vX_[2366] + vX_[2367] * -0.35;
+ vX_[2369] = 0 - vX_[2368];
+ vX_[2370] = vX_[2353] * vX_[421] + vX_[2359] * vX_[1686] + vX_[2362] * vX_[1687];
+ vX_[2371] = vX_[2353] * vX_[394] + vX_[2359] * vX_[421] + vX_[2362] * vX_[439];
+ vX_[2372] = vX_[2362] * -1;
+ vX_[2373] = vX_[2370] * 1 / vX_[418];
+ vX_[2374] = vX_[2371] * 1 / vX_[418];
+ vX_[2375] = vX_[2372] * 1 / vX_[418];
+ vX_[2376] = vX_[2367] * 1 / vX_[418];
+ vX_[2377] = vX_[2349] * vX_[394] + vX_[2364] * vX_[421];
+ vX_[2378] = vX_[2377] * 1 / vX_[418];
+ vX_[2372] = vX_[2372] - (vX_[2373] * vX_[428] + vX_[2374] * vX_[416] + vX_[2375] * vX_[418] + vX_[2376] * vX_[424] +
+ vX_[2378] * vX_[406]);
+ vX_[2379] = vX_[2370] * vX_[395] + vX_[2371] * vX_[1690] + vX_[2372] * vX_[1698];
+ vX_[2380] = 0 - vX_[2379];
+ vX_[2381] = vX_[2370] * vX_[397] + vX_[2371] * vX_[395] + vX_[2372] * vX_[400];
+ vX_[2382] = 0 - vX_[2381];
+ vX_[2383] = vX_[2372] - (vX_[2379] * 38.1956380581338 * 0.1104774 + vX_[2381] * 38.1956380581338 * -0.0004405 +
+ vX_[2372] * 38.1956380581338 * 0.026181);
+ vX_[2384] = 0 - vX_[2383];
+ vX_[2385] = vX_[2367] * vX_[395] + vX_[2377] * vX_[398];
+ vX_[2386] = 0 - vX_[2385];
+ vX_[2387] = vX_[2367] * vX_[397] + vX_[2377] * vX_[395];
+ vX_[2388] = 0 - vX_[2387];
+ vX_[2389] = 0 - vX_[2383];
+ vX_[2390] = 0 - vX_[2385];
+ vX_[2391] = 0 - vX_[2387];
+ vX_[2392] = vX_[2389] * vX_[1734] + vX_[2390] * vX_[1739] + vX_[2391] * vX_[1743];
+ vX_[2393] = 0 - vX_[2385];
+ vX_[2394] = 0 - vX_[2387];
+ vX_[2395] = vX_[2393] * vX_[1749] + vX_[2394] * vX_[1753];
+ vX_[2396] = 0 - vX_[2395];
+ vX_[2397] = vX_[2369] * vX_[391] + vX_[2380] * vX_[1705] + vX_[2382] * vX_[1710] + vX_[2384] * vX_[1714] +
+ vX_[2386] * vX_[1723] + vX_[2388] * vX_[1732] + vX_[2392] * vX_[1747] + vX_[2396] * vX_[1761];
+ vX_[2398] = vX_[2397] * vX_[1887];
+ vX_[2399] = 0 - vX_[2379];
+ vX_[2400] = 0 - vX_[2381];
+ vX_[2401] = 0 - vX_[2383];
+ vX_[2402] = 0 - vX_[2385];
+ vX_[2403] = 0 - vX_[2387];
+ vX_[2404] = 0 - vX_[2392];
+ vX_[2405] = 0 - vX_[2383];
+ vX_[2406] = 0 - vX_[2385];
+ vX_[2407] = 0 - vX_[2387];
+ vX_[2408] = vX_[2405] * vX_[391] + vX_[2406] * vX_[1704] + vX_[2407] * vX_[1708];
+ vX_[2409] = vX_[2399] * vX_[1749] + vX_[2400] * vX_[1752] + vX_[2401] * vX_[1893] + vX_[2402] * vX_[1899] +
+ vX_[2403] * vX_[1904] + vX_[2404] * vX_[1911] + vX_[2408] * vX_[1761];
+ vX_[2410] = vX_[2409] * vX_[1923];
+ vX_[2411] = 0 - vX_[2398] - vX_[2410];
+ vX_[2412] = vX_[2397] * vX_[1919];
+ vX_[2413] = 0 - vX_[2368];
+ vX_[2414] = 0 - vX_[2379];
+ vX_[2415] = 0 - vX_[2381];
+ vX_[2416] = 0 - vX_[2383];
+ vX_[2417] = 0 - vX_[2385];
+ vX_[2418] = 0 - vX_[2387];
+ vX_[2419] = 0 - vX_[2408];
+ vX_[2420] = vX_[2413] * vX_[1940] + vX_[2414] * vX_[1737] + vX_[2415] * vX_[1742] + vX_[2416] * vX_[1947] +
+ vX_[2417] * vX_[1955] + vX_[2418] * vX_[1963] + vX_[2419] * vX_[1747] + vX_[2395] * vX_[1911];
+ vX_[2421] = vX_[2420] * vX_[1887];
+ vX_[2422] = vX_[2412] + vX_[2421];
+ vX_[2423] = vX_[2409] * vX_[1919];
+ vX_[2424] = vX_[2420] * vX_[1923];
+ vX_[2425] = vX_[2423] + vX_[2424];
+ vX_[2426] = vX_[2409] * vX_[1887];
+ vX_[2427] = vX_[2397] * vX_[1923];
+ vX_[2428] = vX_[2426] - vX_[2427];
+ vX_[2411] = vX_[2411] * vX_[1938] +
+ (vX_[2411] * vX_[1937] + vX_[2422] * vX_[1970] + vX_[2425] * vX_[1974] + vX_[2428] * vX_[1978]) * 2.;
+ vX_[2424] = 0 - vX_[2423] + vX_[2424];
+ vX_[2421] = vX_[2412] - vX_[2421];
+ vX_[2428] = vX_[2428] * vX_[1938] + vX_[2424] * vX_[1971] + vX_[2421] * vX_[1829];
+ vX_[2412] = 0 - vX_[2428];
+ vX_[2423] = vX_[2411] * vX_[1936] + vX_[2412] * vX_[1932];
+ vX_[2429] = vX_[2420] * vX_[1919];
+ vX_[2410] = 0 - vX_[2429] - vX_[2410];
+ vX_[2427] = vX_[2426] + vX_[2427];
+ vX_[2410] = vX_[2422] * vX_[1938] + vX_[2410] * vX_[1971] +
+ (vX_[2410] * vX_[1970] + vX_[2427] * vX_[1974] + vX_[2424] * vX_[1978]) * 2.;
+ vX_[2424] = 0 - vX_[2410];
+ vX_[2429] = 0 - vX_[2429] - vX_[2398];
+ vX_[2429] = vX_[2425] * vX_[1938] + vX_[2427] * vX_[1971] + vX_[2429] * vX_[1829] +
+ (vX_[2429] * vX_[1974] + vX_[2421] * vX_[1978]) * 2.;
+ vX_[2427] = vX_[2424] * vX_[1932] + vX_[2429] * vX_[1936];
+ vX_[2421] = vX_[2410] * vX_[1936] + vX_[2429] * vX_[1932];
+ vX_[2425] = vX_[2411] * vX_[1932] + vX_[2428] * vX_[1936];
+ vX_[2398] = vX_[2201] * vX_[1982] + vX_[2178] * vX_[1985] + vX_[2190] * vX_[1988];
+ vX_[2422] = vX_[2398] * vX_[950] * -1000.;
+ vX_[2426] = vX_[2422] * vX_[872];
+ vX_[2430] = vX_[2201] * vX_[1994] + vX_[2178] * vX_[1987] + vX_[2190] * vX_[1983];
+ vX_[2431] = vX_[2430] * vX_[950] * -1000.;
+ vX_[2432] = vX_[2431] * vX_[891];
+ vX_[2433] = 0 - vX_[2426] - vX_[2432];
+ vX_[2201] = vX_[2201] * vX_[1986] + vX_[2178] * vX_[1975] + vX_[2190] * vX_[1993];
+ vX_[2190] = vX_[2201] * vX_[950] * -1000.;
+ vX_[2178] = vX_[2190] * vX_[872];
+ vX_[2434] = vX_[2422] * vX_[909];
+ vX_[2435] = vX_[2178] + vX_[2434];
+ vX_[2436] = vX_[2190] * vX_[891];
+ vX_[2437] = vX_[2431] * vX_[909];
+ vX_[2438] = vX_[2436] + vX_[2437];
+ vX_[2439] = vX_[2422] * vX_[891];
+ vX_[2440] = vX_[2431] * vX_[872];
+ vX_[2441] = vX_[2439] - vX_[2440];
+ vX_[2433] = vX_[2433] * vX_[838] +
+ (vX_[2433] * vX_[837] + vX_[2435] * vX_[873] + vX_[2438] * vX_[842] + vX_[2441] * vX_[876]) * 2.;
+ vX_[2437] = 0 - vX_[2436] + vX_[2437];
+ vX_[2434] = vX_[2178] - vX_[2434];
+ vX_[2441] = vX_[2441] * vX_[838] + vX_[2437] * vX_[874] + vX_[2434] * vX_[843];
+ vX_[2178] = 0 - vX_[2441];
+ vX_[2436] = vX_[2433] * vX_[836] + vX_[2178] * vX_[832];
+ vX_[2442] = vX_[2190] * vX_[909];
+ vX_[2432] = 0 - vX_[2442] - vX_[2432];
+ vX_[2440] = vX_[2439] + vX_[2440];
+ vX_[2432] = vX_[2435] * vX_[838] + vX_[2432] * vX_[874] +
+ (vX_[2432] * vX_[873] + vX_[2440] * vX_[842] + vX_[2437] * vX_[876]) * 2.;
+ vX_[2437] = 0 - vX_[2432];
+ vX_[2442] = 0 - vX_[2442] - vX_[2426];
+ vX_[2442] = vX_[2438] * vX_[838] + vX_[2440] * vX_[874] + vX_[2442] * vX_[843] +
+ (vX_[2442] * vX_[842] + vX_[2434] * vX_[876]) * 2.;
+ vX_[2440] = vX_[2437] * vX_[832] + vX_[2442] * vX_[836];
+ vX_[2434] = vX_[2432] * vX_[836] + vX_[2442] * vX_[832];
+ vX_[2438] = vX_[2433] * vX_[832] + vX_[2441] * vX_[836];
+ vX_[2201] = vX_[2201] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[2201] * vX_[844] + vX_[2398] * vX_[910] + vX_[2430] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[2430] = vX_[2201] * vX_[935];
+ vX_[2398] = vX_[2201] * vX_[939];
+ vX_[2426] = (vX_[2430] * vX_[925] + vX_[2398] * vX_[926]) * 2.;
+ vX_[2435] = 0 - vX_[2398];
+ vX_[2439] = vX_[2435] * vX_[936] + vX_[2430] * vX_[927];
+ vX_[2443] = 0 - vX_[2439];
+ vX_[2444] = vX_[2426] * vX_[921] + vX_[2443] * vX_[917];
+ vX_[2445] = vX_[2201] * vX_[946];
+ vX_[2446] = 0 - vX_[2445];
+ vX_[2446] = vX_[2430] * vX_[922] + vX_[2446] * vX_[936] + (vX_[2446] * vX_[925] + vX_[2435] * vX_[928]) * 2.;
+ vX_[2435] = 0 - vX_[2446];
+ vX_[2445] = 0 - vX_[2445];
+ vX_[2445] = vX_[2398] * vX_[922] + vX_[2445] * vX_[927] + (vX_[2445] * vX_[926] + vX_[2430] * vX_[928]) * 2.;
+ vX_[2398] = vX_[2435] * vX_[917] + vX_[2445] * vX_[921];
+ vX_[2430] = vX_[2446] * vX_[921] + vX_[2445] * vX_[917];
+ vX_[2447] = vX_[2426] * vX_[917] + vX_[2439] * vX_[921];
+ vX_[2448] = vX_[2274] * vX_[2014] + vX_[2251] * vX_[2017] + vX_[2263] * vX_[2020];
+ vX_[2449] = vX_[2448] * vX_[1261] * -1000.;
+ vX_[2450] = vX_[2449] * vX_[1189];
+ vX_[2451] = vX_[2274] * vX_[2026] + vX_[2251] * vX_[2019] + vX_[2263] * vX_[2015];
+ vX_[2452] = vX_[2451] * vX_[1261] * -1000.;
+ vX_[2453] = vX_[2452] * vX_[1207];
+ vX_[2454] = 0 - vX_[2450] - vX_[2453];
+ vX_[2274] = vX_[2274] * vX_[2018] + vX_[2251] * vX_[2013] + vX_[2263] * vX_[2025];
+ vX_[2263] = vX_[2274] * vX_[1261] * -1000.;
+ vX_[2251] = vX_[2263] * vX_[1189];
+ vX_[2455] = vX_[2449] * vX_[1226];
+ vX_[2456] = vX_[2251] + vX_[2455];
+ vX_[2457] = vX_[2263] * vX_[1207];
+ vX_[2458] = vX_[2452] * vX_[1226];
+ vX_[2459] = vX_[2457] + vX_[2458];
+ vX_[2460] = vX_[2449] * vX_[1207];
+ vX_[2461] = vX_[2452] * vX_[1189];
+ vX_[2462] = vX_[2460] - vX_[2461];
+ vX_[2454] = vX_[2454] * vX_[1152] +
+ (vX_[2454] * vX_[1151] + vX_[2456] * vX_[1190] + vX_[2459] * vX_[1156] + vX_[2462] * vX_[1193]) * 2.;
+ vX_[2458] = 0 - vX_[2457] + vX_[2458];
+ vX_[2455] = vX_[2251] - vX_[2455];
+ vX_[2462] = vX_[2462] * vX_[1152] + vX_[2458] * vX_[1191] + vX_[2455] * vX_[1157];
+ vX_[2251] = 0 - vX_[2462];
+ vX_[2457] = vX_[2454] * vX_[1150] + vX_[2251] * vX_[1146];
+ vX_[2463] = vX_[2263] * vX_[1226];
+ vX_[2453] = 0 - vX_[2463] - vX_[2453];
+ vX_[2461] = vX_[2460] + vX_[2461];
+ vX_[2453] = vX_[2456] * vX_[1152] + vX_[2453] * vX_[1191] +
+ (vX_[2453] * vX_[1190] + vX_[2461] * vX_[1156] + vX_[2458] * vX_[1193]) * 2.;
+ vX_[2458] = 0 - vX_[2453];
+ vX_[2463] = 0 - vX_[2463] - vX_[2450];
+ vX_[2463] = vX_[2459] * vX_[1152] + vX_[2461] * vX_[1191] + vX_[2463] * vX_[1157] +
+ (vX_[2463] * vX_[1156] + vX_[2455] * vX_[1193]) * 2.;
+ vX_[2461] = vX_[2458] * vX_[1146] + vX_[2463] * vX_[1150];
+ vX_[2455] = vX_[2453] * vX_[1150] + vX_[2463] * vX_[1146];
+ vX_[2459] = vX_[2454] * vX_[1146] + vX_[2462] * vX_[1150];
+ vX_[2274] =
+ vX_[2274] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[2274] * vX_[1158] + vX_[2448] * vX_[1227] + vX_[2451] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[2451] = vX_[2274] * vX_[1250];
+ vX_[2448] = vX_[2274] * vX_[1181];
+ vX_[2450] = (vX_[2451] * vX_[1242] + vX_[2448] * vX_[1243]) * 2.;
+ vX_[2456] = 0 - vX_[2448];
+ vX_[2460] = vX_[2456] * vX_[1251] + vX_[2451] * vX_[1244];
+ vX_[2464] = 0 - vX_[2460];
+ vX_[2465] = vX_[2450] * vX_[1238] + vX_[2464] * vX_[1234];
+ vX_[2466] = vX_[2274] * vX_[1257];
+ vX_[2467] = 0 - vX_[2466];
+ vX_[2467] = vX_[2451] * vX_[1239] + vX_[2467] * vX_[1251] + (vX_[2467] * vX_[1242] + vX_[2456] * vX_[1245]) * 2.;
+ vX_[2456] = 0 - vX_[2467];
+ vX_[2466] = 0 - vX_[2466];
+ vX_[2466] = vX_[2448] * vX_[1239] + vX_[2466] * vX_[1244] + (vX_[2466] * vX_[1243] + vX_[2451] * vX_[1245]) * 2.;
+ vX_[2448] = vX_[2456] * vX_[1234] + vX_[2466] * vX_[1238];
+ vX_[2451] = vX_[2467] * vX_[1238] + vX_[2466] * vX_[1234];
+ vX_[2468] = vX_[2450] * vX_[1234] + vX_[2460] * vX_[1238];
+ vX_[2469] = vX_[2347] * vX_[2046] + vX_[2324] * vX_[2049] + vX_[2336] * vX_[2052];
+ vX_[2470] = vX_[2469] * vX_[1573] * -1000.;
+ vX_[2471] = vX_[2470] * vX_[1499];
+ vX_[2472] = vX_[2347] * vX_[2058] + vX_[2324] * vX_[2051] + vX_[2336] * vX_[2047];
+ vX_[2473] = vX_[2472] * vX_[1573] * -1000.;
+ vX_[2474] = vX_[2473] * vX_[1518];
+ vX_[2475] = 0 - vX_[2471] - vX_[2474];
+ vX_[2347] = vX_[2347] * vX_[2050] + vX_[2324] * vX_[2045] + vX_[2336] * vX_[2057];
+ vX_[2336] = vX_[2347] * vX_[1573] * -1000.;
+ vX_[2324] = vX_[2336] * vX_[1499];
+ vX_[2476] = vX_[2470] * vX_[1536];
+ vX_[2477] = vX_[2324] + vX_[2476];
+ vX_[2478] = vX_[2336] * vX_[1518];
+ vX_[2479] = vX_[2473] * vX_[1536];
+ vX_[2480] = vX_[2478] + vX_[2479];
+ vX_[2481] = vX_[2470] * vX_[1518];
+ vX_[2482] = vX_[2473] * vX_[1499];
+ vX_[2483] = vX_[2481] - vX_[2482];
+ vX_[2475] = vX_[2475] * vX_[1463] +
+ (vX_[2475] * vX_[1462] + vX_[2477] * vX_[1500] + vX_[2480] * vX_[1467] + vX_[2483] * vX_[1503]) * 2.;
+ vX_[2479] = 0 - vX_[2478] + vX_[2479];
+ vX_[2476] = vX_[2324] - vX_[2476];
+ vX_[2483] = vX_[2483] * vX_[1463] + vX_[2479] * vX_[1501] + vX_[2476] * vX_[1468];
+ vX_[2324] = 0 - vX_[2483];
+ vX_[2478] = vX_[2475] * vX_[1461] + vX_[2324] * vX_[1457];
+ vX_[2484] = vX_[2336] * vX_[1536];
+ vX_[2474] = 0 - vX_[2484] - vX_[2474];
+ vX_[2482] = vX_[2481] + vX_[2482];
+ vX_[2474] = vX_[2477] * vX_[1463] + vX_[2474] * vX_[1501] +
+ (vX_[2474] * vX_[1500] + vX_[2482] * vX_[1467] + vX_[2479] * vX_[1503]) * 2.;
+ vX_[2479] = 0 - vX_[2474];
+ vX_[2484] = 0 - vX_[2484] - vX_[2471];
+ vX_[2484] = vX_[2480] * vX_[1463] + vX_[2482] * vX_[1501] + vX_[2484] * vX_[1468] +
+ (vX_[2484] * vX_[1467] + vX_[2476] * vX_[1503]) * 2.;
+ vX_[2482] = vX_[2479] * vX_[1457] + vX_[2484] * vX_[1461];
+ vX_[2476] = vX_[2474] * vX_[1461] + vX_[2484] * vX_[1457];
+ vX_[2480] = vX_[2475] * vX_[1457] + vX_[2483] * vX_[1461];
+ vX_[2347] =
+ vX_[2347] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[2347] * vX_[1469] + vX_[2469] * vX_[1537] + vX_[2472] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[2472] = vX_[2347] * vX_[1560];
+ vX_[2469] = vX_[2347] * vX_[1491];
+ vX_[2471] = (vX_[2472] * vX_[1552] + vX_[2469] * vX_[1553]) * 2.;
+ vX_[2477] = 0 - vX_[2469];
+ vX_[2481] = vX_[2477] * vX_[1561] + vX_[2472] * vX_[1554];
+ vX_[2485] = 0 - vX_[2481];
+ vX_[2486] = vX_[2471] * vX_[1548] + vX_[2485] * vX_[1544];
+ vX_[2487] = vX_[2347] * vX_[1569];
+ vX_[2488] = 0 - vX_[2487];
+ vX_[2488] = vX_[2472] * vX_[1549] + vX_[2488] * vX_[1561] + (vX_[2488] * vX_[1552] + vX_[2477] * vX_[1555]) * 2.;
+ vX_[2477] = 0 - vX_[2488];
+ vX_[2487] = 0 - vX_[2487];
+ vX_[2487] = vX_[2469] * vX_[1549] + vX_[2487] * vX_[1554] + (vX_[2487] * vX_[1553] + vX_[2472] * vX_[1555]) * 2.;
+ vX_[2469] = vX_[2477] * vX_[1544] + vX_[2487] * vX_[1548];
+ vX_[2472] = vX_[2488] * vX_[1548] + vX_[2487] * vX_[1544];
+ vX_[2489] = vX_[2471] * vX_[1544] + vX_[2481] * vX_[1548];
+ vX_[2490] = vX_[2420] * vX_[2078] + vX_[2397] * vX_[2081] + vX_[2409] * vX_[2084];
+ vX_[2491] = vX_[2490] * vX_[1886] * -1000.;
+ vX_[2492] = vX_[2491] * vX_[1809];
+ vX_[2493] = vX_[2420] * vX_[2090] + vX_[2397] * vX_[2083] + vX_[2409] * vX_[2079];
+ vX_[2494] = vX_[2493] * vX_[1886] * -1000.;
+ vX_[2495] = vX_[2494] * vX_[1828];
+ vX_[2496] = 0 - vX_[2492] - vX_[2495];
+ vX_[2420] = vX_[2420] * vX_[2082] + vX_[2397] * vX_[2077] + vX_[2409] * vX_[2089];
+ vX_[2409] = vX_[2420] * vX_[1886] * -1000.;
+ vX_[2397] = vX_[2409] * vX_[1809];
+ vX_[2497] = vX_[2491] * vX_[1846];
+ vX_[2498] = vX_[2397] + vX_[2497];
+ vX_[2499] = vX_[2409] * vX_[1828];
+ vX_[2500] = vX_[2494] * vX_[1846];
+ vX_[2501] = vX_[2499] + vX_[2500];
+ vX_[2502] = vX_[2491] * vX_[1828];
+ vX_[2503] = vX_[2494] * vX_[1809];
+ vX_[2504] = vX_[2502] - vX_[2503];
+ vX_[2496] = vX_[2496] * vX_[1775] +
+ (vX_[2496] * vX_[1774] + vX_[2498] * vX_[1810] + vX_[2501] * vX_[1779] + vX_[2504] * vX_[1813]) * 2.;
+ vX_[2500] = 0 - vX_[2499] + vX_[2500];
+ vX_[2497] = vX_[2397] - vX_[2497];
+ vX_[2504] = vX_[2504] * vX_[1775] + vX_[2500] * vX_[1811] + vX_[2497] * vX_[1780];
+ vX_[2397] = 0 - vX_[2504];
+ vX_[2499] = vX_[2496] * vX_[1773] + vX_[2397] * vX_[1769];
+ vX_[2505] = vX_[2409] * vX_[1846];
+ vX_[2495] = 0 - vX_[2505] - vX_[2495];
+ vX_[2503] = vX_[2502] + vX_[2503];
+ vX_[2495] = vX_[2498] * vX_[1775] + vX_[2495] * vX_[1811] +
+ (vX_[2495] * vX_[1810] + vX_[2503] * vX_[1779] + vX_[2500] * vX_[1813]) * 2.;
+ vX_[2500] = 0 - vX_[2495];
+ vX_[2505] = 0 - vX_[2505] - vX_[2492];
+ vX_[2505] = vX_[2501] * vX_[1775] + vX_[2503] * vX_[1811] + vX_[2505] * vX_[1780] +
+ (vX_[2505] * vX_[1779] + vX_[2497] * vX_[1813]) * 2.;
+ vX_[2503] = vX_[2500] * vX_[1769] + vX_[2505] * vX_[1773];
+ vX_[2497] = vX_[2495] * vX_[1773] + vX_[2505] * vX_[1769];
+ vX_[2501] = vX_[2496] * vX_[1769] + vX_[2504] * vX_[1773];
+ vX_[2420] =
+ vX_[2420] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[2420] * vX_[1781] + vX_[2490] * vX_[1847] + vX_[2493] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[199] = vX_[2201] + vX_[2274] + vX_[2347] + vX_[2420];
+ vX_[2493] = vX_[2420] * vX_[1870];
+ vX_[2490] = vX_[2420] * vX_[1875];
+ vX_[2492] = (vX_[2493] * vX_[1862] + vX_[2490] * vX_[1863]) * 2.;
+ vX_[2498] = 0 - vX_[2490];
+ vX_[2502] = vX_[2498] * vX_[1871] + vX_[2493] * vX_[1864];
+ vX_[2506] = 0 - vX_[2502];
+ vX_[2507] = vX_[2492] * vX_[1858] + vX_[2506] * vX_[1854];
+ vX_[2508] = vX_[2420] * vX_[1882];
+ vX_[2509] = 0 - vX_[2508];
+ vX_[2509] = vX_[2493] * vX_[1859] + vX_[2509] * vX_[1871] + (vX_[2509] * vX_[1862] + vX_[2498] * vX_[1865]) * 2.;
+ vX_[2498] = 0 - vX_[2509];
+ vX_[2508] = 0 - vX_[2508];
+ vX_[2508] = vX_[2490] * vX_[1859] + vX_[2508] * vX_[1864] + (vX_[2508] * vX_[1863] + vX_[2493] * vX_[1865]) * 2.;
+ vX_[2490] = vX_[2498] * vX_[1854] + vX_[2508] * vX_[1858];
+ vX_[2493] = vX_[2509] * vX_[1858] + vX_[2508] * vX_[1854];
+ vX_[2510] = vX_[2492] * vX_[1854] + vX_[2502] * vX_[1858];
+ jac[19] = ((vX_[2204] * vX_[999] + vX_[2208] * vX_[994]) * vX_[1029] -
+ (vX_[2202] * vX_[999] + vX_[2206] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[2277] * vX_[1308] + vX_[2281] * vX_[1303]) * vX_[1340] -
+ (vX_[2275] * vX_[1308] + vX_[2279] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[2350] * vX_[1620] + vX_[2354] * vX_[1615]) * vX_[1650] -
+ (vX_[2348] * vX_[1620] + vX_[2352] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[2423] * vX_[1934] + vX_[2427] * vX_[1929]) * vX_[1966] -
+ (vX_[2421] * vX_[1934] + vX_[2425] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[2436] * vX_[834] + vX_[2440] * vX_[829]) * vX_[1992] -
+ (vX_[2434] * vX_[834] + vX_[2438] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[2444] * vX_[919] + vX_[2398] * vX_[914]) * vX_[1995] -
+ (vX_[2430] * vX_[919] + vX_[2447] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[2457] * vX_[1148] + vX_[2461] * vX_[1143]) * vX_[2024] -
+ (vX_[2455] * vX_[1148] + vX_[2459] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[2465] * vX_[1236] + vX_[2448] * vX_[1231]) * vX_[2027] -
+ (vX_[2451] * vX_[1236] + vX_[2468] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[2478] * vX_[1459] + vX_[2482] * vX_[1454]) * vX_[2056] -
+ (vX_[2476] * vX_[1459] + vX_[2480] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[2486] * vX_[1546] + vX_[2469] * vX_[1541]) * vX_[2059] -
+ (vX_[2472] * vX_[1546] + vX_[2489] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[2499] * vX_[1771] + vX_[2503] * vX_[1766]) * vX_[2088] -
+ (vX_[2497] * vX_[1771] + vX_[2501] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[2507] * vX_[1856] + vX_[2490] * vX_[1851]) * vX_[2091] -
+ (vX_[2493] * vX_[1856] + vX_[2510] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[2511] = 0 - vX_[664];
+ vX_[2512] = 0 - vX_[664];
+ vX_[2513] = vX_[731] + vX_[2512] * vX_[737];
+ vX_[2514] = 0 - vX_[2513];
+ vX_[2515] = (vX_[604] + vX_[2511] * vX_[722] + vX_[2514] * vX_[712]) * 1 / vX_[720];
+ vX_[2516] = 0 - vX_[2515];
+ vX_[2513] = (vX_[2513] + vX_[2516] * vX_[743]) * 1 / vX_[718];
+ vX_[2517] = 0 - vX_[2515];
+ vX_[2518] = 0 - vX_[2513];
+ vX_[2519] = 0 - vX_[2515];
+ vX_[2520] = 0 - vX_[2513];
+ vX_[2521] = (vX_[664] + vX_[2519] * vX_[689] + vX_[2520] * vX_[736]) * 1 / vX_[721];
+ vX_[2522] = 0 - vX_[2521];
+ vX_[2523] = (-1 + vX_[2517] * vX_[682] + vX_[2518] * vX_[730] + vX_[2522] * vX_[509]) * 1 / vX_[618];
+ vX_[2524] = 0 - vX_[2515];
+ vX_[2525] = 0 - vX_[2513];
+ vX_[2526] = 0 - vX_[2521];
+ vX_[2527] = 0 - vX_[2523];
+ vX_[2528] =
+ (vX_[2524] * vX_[662] + vX_[2525] * vX_[633] + vX_[2526] * vX_[691] + vX_[2527] * vX_[667]) * 1 / vX_[616];
+ vX_[2529] = 0 - vX_[2515];
+ vX_[2530] = 0 - vX_[2513];
+ vX_[2531] = 0 - vX_[2521];
+ vX_[2532] = 0 - vX_[2523];
+ vX_[2533] = 0 - vX_[2528];
+ vX_[2534] = (vX_[2529] * vX_[510] + vX_[2530] * vX_[518] + vX_[2531] * vX_[690] + vX_[2532] * vX_[628] +
+ vX_[2533] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2535] =
+ vX_[2515] * vX_[126] + vX_[2513] * vX_[1] + vX_[2523] * vX_[140] + vX_[2528] * vX_[138] + vX_[2534] * vX_[706];
+ vX_[2536] = vX_[2521] + vX_[2523] * 0.207;
+ vX_[2537] = vX_[2536] * 1 / vX_[123];
+ vX_[2538] = vX_[2535] * 1 / vX_[123];
+ vX_[2539] =
+ vX_[2515] * vX_[729] + vX_[2513] * vX_[126] + vX_[2523] * vX_[728] + vX_[2528] * vX_[727] + vX_[2534] * vX_[27];
+ vX_[2540] = vX_[2539] * 1 / vX_[123];
+ vX_[2541] = vX_[2534] * 1 / vX_[123];
+ vX_[2542] = vX_[2523] * vX_[126] + vX_[2528] * vX_[1];
+ vX_[2543] = vX_[2542] * 1 / vX_[123];
+ vX_[2544] = vX_[2523] * vX_[139] + vX_[2528] * vX_[126];
+ vX_[2545] = vX_[2544] * 1 / vX_[123];
+ vX_[2546] = vX_[2534] - (vX_[2537] * vX_[135] + vX_[2538] * vX_[97] + vX_[2540] * vX_[88] + vX_[2541] * vX_[123] +
+ vX_[2543] * vX_[148] + vX_[2545] * vX_[157]);
+ vX_[2547] = vX_[2535] + vX_[2546] * 0.08;
+ vX_[2548] = vX_[2546] * vX_[76] + vX_[2544] * vX_[4];
+ vX_[2549] = vX_[2547] + vX_[2548] * -0.35;
+ vX_[2550] = 0 - vX_[2549];
+ vX_[2551] = vX_[2536] * vX_[750] + vX_[2539] * vX_[751] + vX_[2542] * vX_[752];
+ vX_[2552] = vX_[2536] * vX_[754] + vX_[2539] * vX_[75] + vX_[2542] * vX_[93];
+ vX_[2553] = vX_[2551] * 1 / vX_[72];
+ vX_[2554] = vX_[2552] * 1 / vX_[72];
+ vX_[2555] = vX_[2542] * 1 / vX_[72];
+ vX_[2556] = vX_[2548] * 1 / vX_[72];
+ vX_[2557] = vX_[2546] * vX_[4] + vX_[2544] * vX_[75];
+ vX_[2558] = vX_[2557] * 1 / vX_[72];
+ vX_[2559] = vX_[2542] - (vX_[2553] * vX_[83] + vX_[2554] * vX_[70] + vX_[2555] * vX_[72] + vX_[2556] * vX_[79] +
+ vX_[2558] * vX_[60]);
+ vX_[2560] = vX_[2551] * vX_[7] + vX_[2552] * vX_[756] + vX_[2559] * vX_[764];
+ vX_[2561] = 0 - vX_[2560];
+ vX_[2562] = vX_[2551] * vX_[51] + vX_[2552] * vX_[7] + vX_[2559] * vX_[54];
+ vX_[2563] = 0 - vX_[2562];
+ vX_[2564] = vX_[2559] - (vX_[2560] * 38.1956380581338 * 0.1104774 + vX_[2562] * 38.1956380581338 * 0.0004405 +
+ vX_[2559] * 38.1956380581338 * 0.026181);
+ vX_[2565] = 0 - vX_[2564];
+ vX_[2566] = vX_[2548] * vX_[7] + vX_[2557] * vX_[52];
+ vX_[2567] = 0 - vX_[2566];
+ vX_[2568] = vX_[2548] * vX_[51] + vX_[2557] * vX_[7];
+ vX_[2569] = 0 - vX_[2568];
+ vX_[2570] = 0 - vX_[2564];
+ vX_[2571] = 0 - vX_[2566];
+ vX_[2572] = 0 - vX_[2568];
+ vX_[2573] = vX_[2570] * vX_[126] + vX_[2571] * vX_[803] + vX_[2572] * vX_[806];
+ vX_[2574] = 0 - vX_[2566];
+ vX_[2575] = 0 - vX_[2568];
+ vX_[2576] = vX_[2574] * vX_[812] + vX_[2575] * vX_[816];
+ vX_[2577] = 0 - vX_[2576];
+ vX_[2578] = vX_[2550] * vX_[1] + vX_[2561] * vX_[771] + vX_[2563] * vX_[776] + vX_[2565] * vX_[780] +
+ vX_[2567] * vX_[789] + vX_[2569] * vX_[797] + vX_[2573] * vX_[810] + vX_[2577] * vX_[824];
+ vX_[2579] = vX_[2578] * vX_[951];
+ vX_[2580] = 0 - vX_[2560];
+ vX_[2581] = 0 - vX_[2562];
+ vX_[2582] = 0 - vX_[2564];
+ vX_[2583] = 0 - vX_[2566];
+ vX_[2584] = 0 - vX_[2568];
+ vX_[2585] = 0 - vX_[2573];
+ vX_[2586] = 0 - vX_[2564];
+ vX_[2587] = 0 - vX_[2566];
+ vX_[2588] = 0 - vX_[2568];
+ vX_[2589] = vX_[2586] * vX_[1] + vX_[2587] * vX_[770] + vX_[2588] * vX_[775];
+ vX_[2590] = vX_[2580] * vX_[812] + vX_[2581] * vX_[815] + vX_[2582] * vX_[957] + vX_[2583] * vX_[963] +
+ vX_[2584] * vX_[968] + vX_[2585] * vX_[975] + vX_[2589] * vX_[824];
+ vX_[2591] = vX_[2590] * vX_[988];
+ vX_[2592] = 0 - vX_[2579] - vX_[2591];
+ vX_[2593] = vX_[2578] * vX_[984];
+ vX_[2594] = 0 - vX_[2549];
+ vX_[2595] = 0 - vX_[2560];
+ vX_[2596] = 0 - vX_[2562];
+ vX_[2597] = 0 - vX_[2564];
+ vX_[2598] = 0 - vX_[2566];
+ vX_[2599] = 0 - vX_[2568];
+ vX_[2600] = 0 - vX_[2589];
+ vX_[2601] = vX_[2594] * vX_[126] + vX_[2595] * vX_[801] + vX_[2596] * vX_[805] + vX_[2597] * vX_[1010] +
+ vX_[2598] * vX_[1018] + vX_[2599] * vX_[1026] + vX_[2600] * vX_[810] + vX_[2576] * vX_[975];
+ vX_[2602] = vX_[2601] * vX_[951];
+ vX_[2603] = vX_[2593] + vX_[2602];
+ vX_[2604] = vX_[2590] * vX_[984];
+ vX_[2605] = vX_[2601] * vX_[988];
+ vX_[2606] = vX_[2604] + vX_[2605];
+ vX_[2607] = vX_[2590] * vX_[951];
+ vX_[2608] = vX_[2578] * vX_[988];
+ vX_[2609] = vX_[2607] - vX_[2608];
+ vX_[2592] = vX_[2592] * vX_[1003] +
+ (vX_[2592] * vX_[1002] + vX_[2603] * vX_[1033] + vX_[2606] * vX_[1037] + vX_[2609] * vX_[1041]) * 2.;
+ vX_[2605] = 0 - vX_[2604] + vX_[2605];
+ vX_[2602] = vX_[2593] - vX_[2602];
+ vX_[2609] = vX_[2609] * vX_[1003] + vX_[2605] * vX_[1034] + vX_[2602] * vX_[892];
+ vX_[2593] = 0 - vX_[2609];
+ vX_[2604] = vX_[2592] * vX_[1001] + vX_[2593] * vX_[997];
+ vX_[2610] = vX_[2601] * vX_[984];
+ vX_[2591] = 0 - vX_[2610] - vX_[2591];
+ vX_[2608] = vX_[2607] + vX_[2608];
+ vX_[2591] = vX_[2603] * vX_[1003] + vX_[2591] * vX_[1034] +
+ (vX_[2591] * vX_[1033] + vX_[2608] * vX_[1037] + vX_[2605] * vX_[1041]) * 2.;
+ vX_[2605] = 0 - vX_[2591];
+ vX_[2610] = 0 - vX_[2610] - vX_[2579];
+ vX_[2610] = vX_[2606] * vX_[1003] + vX_[2608] * vX_[1034] + vX_[2610] * vX_[892] +
+ (vX_[2610] * vX_[1037] + vX_[2602] * vX_[1041]) * 2.;
+ vX_[2608] = vX_[2605] * vX_[997] + vX_[2610] * vX_[1001];
+ vX_[2602] = vX_[2591] * vX_[1001] + vX_[2610] * vX_[997];
+ vX_[2606] = vX_[2592] * vX_[997] + vX_[2609] * vX_[1001];
+ vX_[2579] = vX_[2515] * vX_[235] + vX_[2513] * vX_[1030] + vX_[2523] * vX_[250] + vX_[2528] * vX_[248] +
+ vX_[2534] * vX_[1038];
+ vX_[2603] = vX_[2534] * -1;
+ vX_[2607] = vX_[2521] * -1 + vX_[2523] * 0.207;
+ vX_[2611] = vX_[2607] * 1 / vX_[232];
+ vX_[2612] = vX_[2579] * 1 / vX_[232];
+ vX_[2613] = vX_[2515] * vX_[1050] + vX_[2513] * vX_[1051] + vX_[2523] * vX_[1052] + vX_[2528] * vX_[1053] +
+ vX_[2534] * vX_[164];
+ vX_[2614] = vX_[2613] * 1 / vX_[232];
+ vX_[2615] = vX_[2603] * 1 / vX_[232];
+ vX_[2616] = vX_[2523] * vX_[235] + vX_[2528] * vX_[249];
+ vX_[2617] = vX_[2616] * 1 / vX_[232];
+ vX_[2618] = vX_[2523] * vX_[249] + vX_[2528] * vX_[247];
+ vX_[2619] = vX_[2618] * 1 / vX_[232];
+ vX_[2603] = vX_[2603] - (vX_[2611] * vX_[244] + vX_[2612] * vX_[206] + vX_[2614] * vX_[196] + vX_[2615] * vX_[232] +
+ vX_[2617] * vX_[258] + vX_[2619] * vX_[267]);
+ vX_[2620] = vX_[2579] * -1 + vX_[2603] * -0.08;
+ vX_[2621] = vX_[2603] * vX_[186] + vX_[2618] * vX_[195];
+ vX_[2622] = vX_[2620] + vX_[2621] * -0.35;
+ vX_[2623] = 0 - vX_[2622];
+ vX_[2624] = vX_[2607] * vX_[186] + vX_[2613] * vX_[1065] + vX_[2616] * vX_[1066];
+ vX_[2625] = vX_[2607] * vX_[166] + vX_[2613] * vX_[186] + vX_[2616] * vX_[201];
+ vX_[2626] = vX_[2616] * -1;
+ vX_[2627] = vX_[2624] * 1 / vX_[183];
+ vX_[2628] = vX_[2625] * 1 / vX_[183];
+ vX_[2629] = vX_[2626] * 1 / vX_[183];
+ vX_[2630] = vX_[2621] * 1 / vX_[183];
+ vX_[2631] = vX_[2603] * vX_[166] + vX_[2618] * vX_[186];
+ vX_[2632] = vX_[2631] * 1 / vX_[183];
+ vX_[2626] = vX_[2626] - (vX_[2627] * vX_[190] + vX_[2628] * vX_[181] + vX_[2629] * vX_[183] + vX_[2630] * 2.1e-05 +
+ vX_[2632] * -0.000102);
+ vX_[2633] = vX_[2624] * vX_[169] + vX_[2625] * vX_[1069] + vX_[2626] * vX_[1077];
+ vX_[2634] = 0 - vX_[2633];
+ vX_[2635] = vX_[2624] * vX_[167] + vX_[2625] * vX_[169] + vX_[2626] * vX_[168];
+ vX_[2636] = 0 - vX_[2635];
+ vX_[2637] = vX_[2626] - (vX_[2633] * 38.1956380581338 * 0.110125 + vX_[2635] * 38.1956380581338 * 0.000881 +
+ vX_[2626] * 38.1956380581338 * 0.026181);
+ vX_[2638] = 0 - vX_[2637];
+ vX_[2639] = vX_[2621] * vX_[169] + vX_[2631] * vX_[175];
+ vX_[2640] = 0 - vX_[2639];
+ vX_[2641] = vX_[2621] * vX_[167] + vX_[2631] * vX_[169];
+ vX_[2642] = 0 - vX_[2641];
+ vX_[2643] = 0 - vX_[2637];
+ vX_[2644] = 0 - vX_[2639];
+ vX_[2645] = 0 - vX_[2641];
+ vX_[2646] = vX_[2643] * vX_[1111] + vX_[2644] * vX_[1116] + vX_[2645] * vX_[1120];
+ vX_[2647] = 0 - vX_[2639];
+ vX_[2648] = 0 - vX_[2641];
+ vX_[2649] = vX_[2647] * vX_[1126] + vX_[2648] * vX_[1130];
+ vX_[2650] = 0 - vX_[2649];
+ vX_[2651] = vX_[2623] * vX_[163] + vX_[2634] * vX_[1083] + vX_[2636] * vX_[1088] + vX_[2638] * vX_[1092] +
+ vX_[2640] * vX_[1101] + vX_[2642] * vX_[1109] + vX_[2646] * vX_[1124] + vX_[2650] * vX_[1138];
+ vX_[2652] = vX_[2651] * vX_[1262];
+ vX_[2653] = 0 - vX_[2633];
+ vX_[2654] = 0 - vX_[2635];
+ vX_[2655] = 0 - vX_[2637];
+ vX_[2656] = 0 - vX_[2639];
+ vX_[2657] = 0 - vX_[2641];
+ vX_[2658] = 0 - vX_[2646];
+ vX_[2659] = 0 - vX_[2637];
+ vX_[2660] = 0 - vX_[2639];
+ vX_[2661] = 0 - vX_[2641];
+ vX_[2662] = vX_[2659] * vX_[163] + vX_[2660] * vX_[1082] + vX_[2661] * vX_[1086];
+ vX_[2663] = vX_[2653] * vX_[1126] + vX_[2654] * vX_[1129] + vX_[2655] * vX_[1268] + vX_[2656] * vX_[1274] +
+ vX_[2657] * vX_[1279] + vX_[2658] * vX_[1219] + vX_[2662] * vX_[1138];
+ vX_[2664] = vX_[2663] * vX_[1297];
+ vX_[2665] = 0 - vX_[2652] - vX_[2664];
+ vX_[2666] = vX_[2651] * vX_[1293];
+ vX_[2667] = 0 - vX_[2622];
+ vX_[2668] = 0 - vX_[2633];
+ vX_[2669] = 0 - vX_[2635];
+ vX_[2670] = 0 - vX_[2637];
+ vX_[2671] = 0 - vX_[2639];
+ vX_[2672] = 0 - vX_[2641];
+ vX_[2673] = 0 - vX_[2662];
+ vX_[2674] = vX_[2667] * vX_[1314] + vX_[2668] * vX_[1114] + vX_[2669] * vX_[1119] + vX_[2670] * vX_[1321] +
+ vX_[2671] * vX_[1329] + vX_[2672] * vX_[1337] + vX_[2673] * vX_[1124] + vX_[2649] * vX_[1219];
+ vX_[2675] = vX_[2674] * vX_[1262];
+ vX_[2676] = vX_[2666] + vX_[2675];
+ vX_[2677] = vX_[2663] * vX_[1293];
+ vX_[2678] = vX_[2674] * vX_[1297];
+ vX_[2679] = vX_[2677] + vX_[2678];
+ vX_[2680] = vX_[2663] * vX_[1262];
+ vX_[2681] = vX_[2651] * vX_[1297];
+ vX_[2682] = vX_[2680] - vX_[2681];
+ vX_[2665] = vX_[2665] * vX_[1312] +
+ (vX_[2665] * vX_[1311] + vX_[2676] * vX_[1344] + vX_[2679] * vX_[1348] + vX_[2682] * vX_[1352]) * 2.;
+ vX_[2678] = 0 - vX_[2677] + vX_[2678];
+ vX_[2675] = vX_[2666] - vX_[2675];
+ vX_[2682] = vX_[2682] * vX_[1312] + vX_[2678] * vX_[1345] + vX_[2675] * vX_[1208];
+ vX_[2666] = 0 - vX_[2682];
+ vX_[2677] = vX_[2665] * vX_[1310] + vX_[2666] * vX_[1306];
+ vX_[2683] = vX_[2674] * vX_[1293];
+ vX_[2664] = 0 - vX_[2683] - vX_[2664];
+ vX_[2681] = vX_[2680] + vX_[2681];
+ vX_[2664] = vX_[2676] * vX_[1312] + vX_[2664] * vX_[1345] +
+ (vX_[2664] * vX_[1344] + vX_[2681] * vX_[1348] + vX_[2678] * vX_[1352]) * 2.;
+ vX_[2678] = 0 - vX_[2664];
+ vX_[2683] = 0 - vX_[2683] - vX_[2652];
+ vX_[2683] = vX_[2679] * vX_[1312] + vX_[2681] * vX_[1345] + vX_[2683] * vX_[1208] +
+ (vX_[2683] * vX_[1348] + vX_[2675] * vX_[1352]) * 2.;
+ vX_[2681] = vX_[2678] * vX_[1306] + vX_[2683] * vX_[1310];
+ vX_[2675] = vX_[2664] * vX_[1310] + vX_[2683] * vX_[1306];
+ vX_[2679] = vX_[2665] * vX_[1306] + vX_[2682] * vX_[1310];
+ vX_[2652] = vX_[2515] * vX_[354] + vX_[2513] * vX_[273] + vX_[2523] * vX_[368] + vX_[2528] * vX_[366] +
+ vX_[2534] * vX_[1341];
+ vX_[2676] = vX_[2521] + vX_[2523] * 0.207;
+ vX_[2680] = vX_[2676] * 1 / vX_[351];
+ vX_[2684] = vX_[2652] * 1 / vX_[351];
+ vX_[2685] = vX_[2515] * vX_[1359] + vX_[2513] * vX_[354] + vX_[2523] * vX_[1360] + vX_[2528] * vX_[1361] +
+ vX_[2534] * vX_[274];
+ vX_[2686] = vX_[2685] * 1 / vX_[351];
+ vX_[2687] = vX_[2534] * 1 / vX_[351];
+ vX_[2688] = vX_[2523] * vX_[354] + vX_[2528] * vX_[273];
+ vX_[2689] = vX_[2688] * 1 / vX_[351];
+ vX_[2690] = vX_[2523] * vX_[367] + vX_[2528] * vX_[354];
+ vX_[2691] = vX_[2690] * 1 / vX_[351];
+ vX_[2692] = vX_[2534] - (vX_[2680] * vX_[363] + vX_[2684] * vX_[325] + vX_[2686] * vX_[316] + vX_[2687] * vX_[351] +
+ vX_[2689] * vX_[376] + vX_[2691] * vX_[385]);
+ vX_[2693] = vX_[2652] + vX_[2692] * 0.08;
+ vX_[2694] = vX_[2692] * vX_[304] + vX_[2690] * vX_[276];
+ vX_[2695] = vX_[2693] + vX_[2694] * -0.35;
+ vX_[2696] = 0 - vX_[2695];
+ vX_[2697] = vX_[2676] * vX_[1374] + vX_[2685] * vX_[1375] + vX_[2688] * vX_[1376];
+ vX_[2698] = vX_[2676] * vX_[1378] + vX_[2685] * vX_[303] + vX_[2688] * vX_[321];
+ vX_[2699] = vX_[2697] * 1 / vX_[300];
+ vX_[2700] = vX_[2698] * 1 / vX_[300];
+ vX_[2701] = vX_[2688] * 1 / vX_[300];
+ vX_[2702] = vX_[2694] * 1 / vX_[300];
+ vX_[2703] = vX_[2692] * vX_[276] + vX_[2690] * vX_[303];
+ vX_[2704] = vX_[2703] * 1 / vX_[300];
+ vX_[2705] = vX_[2688] - (vX_[2699] * vX_[311] + vX_[2700] * vX_[298] + vX_[2701] * vX_[300] + vX_[2702] * vX_[307] +
+ vX_[2704] * vX_[288]);
+ vX_[2706] = vX_[2697] * vX_[277] + vX_[2698] * vX_[1380] + vX_[2705] * vX_[1388];
+ vX_[2707] = 0 - vX_[2706];
+ vX_[2708] = vX_[2697] * vX_[279] + vX_[2698] * vX_[277] + vX_[2705] * vX_[282];
+ vX_[2709] = 0 - vX_[2708];
+ vX_[2710] = vX_[2705] - (vX_[2706] * 38.1956380581338 * 0.1104774 + vX_[2708] * 38.1956380581338 * -0.0004405 +
+ vX_[2705] * 38.1956380581338 * 0.026181);
+ vX_[2711] = 0 - vX_[2710];
+ vX_[2712] = vX_[2694] * vX_[277] + vX_[2703] * vX_[280];
+ vX_[2713] = 0 - vX_[2712];
+ vX_[2714] = vX_[2694] * vX_[279] + vX_[2703] * vX_[277];
+ vX_[2715] = 0 - vX_[2714];
+ vX_[2716] = 0 - vX_[2710];
+ vX_[2717] = 0 - vX_[2712];
+ vX_[2718] = 0 - vX_[2714];
+ vX_[2719] = vX_[2716] * vX_[354] + vX_[2717] * vX_[1428] + vX_[2718] * vX_[1431];
+ vX_[2720] = 0 - vX_[2712];
+ vX_[2721] = 0 - vX_[2714];
+ vX_[2722] = vX_[2720] * vX_[1437] + vX_[2721] * vX_[1441];
+ vX_[2723] = 0 - vX_[2722];
+ vX_[2724] = vX_[2696] * vX_[273] + vX_[2707] * vX_[1395] + vX_[2709] * vX_[1400] + vX_[2711] * vX_[1404] +
+ vX_[2713] * vX_[1413] + vX_[2715] * vX_[1422] + vX_[2719] * vX_[1435] + vX_[2723] * vX_[1449];
+ vX_[2725] = vX_[2724] * vX_[1574];
+ vX_[2726] = 0 - vX_[2706];
+ vX_[2727] = 0 - vX_[2708];
+ vX_[2728] = 0 - vX_[2710];
+ vX_[2729] = 0 - vX_[2712];
+ vX_[2730] = 0 - vX_[2714];
+ vX_[2731] = 0 - vX_[2719];
+ vX_[2732] = 0 - vX_[2710];
+ vX_[2733] = 0 - vX_[2712];
+ vX_[2734] = 0 - vX_[2714];
+ vX_[2735] = vX_[2732] * vX_[273] + vX_[2733] * vX_[1394] + vX_[2734] * vX_[1399];
+ vX_[2736] = vX_[2726] * vX_[1437] + vX_[2727] * vX_[1440] + vX_[2728] * vX_[1580] + vX_[2729] * vX_[1586] +
+ vX_[2730] * vX_[1591] + vX_[2731] * vX_[1596] + vX_[2735] * vX_[1449];
+ vX_[2737] = vX_[2736] * vX_[1609];
+ vX_[2738] = 0 - vX_[2725] - vX_[2737];
+ vX_[2739] = vX_[2724] * vX_[1605];
+ vX_[2740] = 0 - vX_[2695];
+ vX_[2741] = 0 - vX_[2706];
+ vX_[2742] = 0 - vX_[2708];
+ vX_[2743] = 0 - vX_[2710];
+ vX_[2744] = 0 - vX_[2712];
+ vX_[2745] = 0 - vX_[2714];
+ vX_[2746] = 0 - vX_[2735];
+ vX_[2747] = vX_[2740] * vX_[354] + vX_[2741] * vX_[1426] + vX_[2742] * vX_[1430] + vX_[2743] * vX_[1631] +
+ vX_[2744] * vX_[1639] + vX_[2745] * vX_[1647] + vX_[2746] * vX_[1435] + vX_[2722] * vX_[1596];
+ vX_[2748] = vX_[2747] * vX_[1574];
+ vX_[2749] = vX_[2739] + vX_[2748];
+ vX_[2750] = vX_[2736] * vX_[1605];
+ vX_[2751] = vX_[2747] * vX_[1609];
+ vX_[2752] = vX_[2750] + vX_[2751];
+ vX_[2753] = vX_[2736] * vX_[1574];
+ vX_[2754] = vX_[2724] * vX_[1609];
+ vX_[2755] = vX_[2753] - vX_[2754];
+ vX_[2738] = vX_[2738] * vX_[1624] +
+ (vX_[2738] * vX_[1623] + vX_[2749] * vX_[1654] + vX_[2752] * vX_[1658] + vX_[2755] * vX_[1662]) * 2.;
+ vX_[2751] = 0 - vX_[2750] + vX_[2751];
+ vX_[2748] = vX_[2739] - vX_[2748];
+ vX_[2755] = vX_[2755] * vX_[1624] + vX_[2751] * vX_[1655] + vX_[2748] * vX_[1519];
+ vX_[2739] = 0 - vX_[2755];
+ vX_[2750] = vX_[2738] * vX_[1622] + vX_[2739] * vX_[1618];
+ vX_[2756] = vX_[2747] * vX_[1605];
+ vX_[2737] = 0 - vX_[2756] - vX_[2737];
+ vX_[2754] = vX_[2753] + vX_[2754];
+ vX_[2737] = vX_[2749] * vX_[1624] + vX_[2737] * vX_[1655] +
+ (vX_[2737] * vX_[1654] + vX_[2754] * vX_[1658] + vX_[2751] * vX_[1662]) * 2.;
+ vX_[2751] = 0 - vX_[2737];
+ vX_[2756] = 0 - vX_[2756] - vX_[2725];
+ vX_[2756] = vX_[2752] * vX_[1624] + vX_[2754] * vX_[1655] + vX_[2756] * vX_[1519] +
+ (vX_[2756] * vX_[1658] + vX_[2748] * vX_[1662]) * 2.;
+ vX_[2754] = vX_[2751] * vX_[1618] + vX_[2756] * vX_[1622];
+ vX_[2748] = vX_[2737] * vX_[1622] + vX_[2756] * vX_[1618];
+ vX_[2752] = vX_[2738] * vX_[1618] + vX_[2755] * vX_[1622];
+ vX_[2725] = vX_[2515] * vX_[473] + vX_[2513] * vX_[1651] + vX_[2523] * vX_[488] + vX_[2528] * vX_[486] +
+ vX_[2534] * vX_[1659];
+ vX_[2749] = vX_[2534] * -1;
+ vX_[2753] = vX_[2521] * -1 + vX_[2523] * 0.207;
+ vX_[2757] = vX_[2753] * 1 / vX_[470];
+ vX_[2758] = vX_[2725] * 1 / vX_[470];
+ vX_[2759] = vX_[2515] * vX_[1671] + vX_[2513] * vX_[1672] + vX_[2523] * vX_[1673] + vX_[2528] * vX_[1674] +
+ vX_[2534] * vX_[392];
+ vX_[2760] = vX_[2759] * 1 / vX_[470];
+ vX_[2761] = vX_[2749] * 1 / vX_[470];
+ vX_[2762] = vX_[2523] * vX_[473] + vX_[2528] * vX_[487];
+ vX_[2763] = vX_[2762] * 1 / vX_[470];
+ vX_[2764] = vX_[2523] * vX_[487] + vX_[2528] * vX_[485];
+ vX_[2765] = vX_[2764] * 1 / vX_[470];
+ vX_[2749] = vX_[2749] - (vX_[2757] * vX_[482] + vX_[2758] * vX_[444] + vX_[2760] * vX_[434] + vX_[2761] * vX_[470] +
+ vX_[2763] * vX_[496] + vX_[2765] * vX_[505]);
+ vX_[2766] = vX_[2725] * -1 + vX_[2749] * -0.08;
+ vX_[2767] = vX_[2749] * vX_[421] + vX_[2764] * vX_[433];
+ vX_[2768] = vX_[2766] + vX_[2767] * -0.35;
+ vX_[2769] = 0 - vX_[2768];
+ vX_[2770] = vX_[2753] * vX_[421] + vX_[2759] * vX_[1686] + vX_[2762] * vX_[1687];
+ vX_[2771] = vX_[2753] * vX_[394] + vX_[2759] * vX_[421] + vX_[2762] * vX_[439];
+ vX_[2772] = vX_[2762] * -1;
+ vX_[2773] = vX_[2770] * 1 / vX_[418];
+ vX_[2774] = vX_[2771] * 1 / vX_[418];
+ vX_[2775] = vX_[2772] * 1 / vX_[418];
+ vX_[2776] = vX_[2767] * 1 / vX_[418];
+ vX_[2777] = vX_[2749] * vX_[394] + vX_[2764] * vX_[421];
+ vX_[2778] = vX_[2777] * 1 / vX_[418];
+ vX_[2772] = vX_[2772] - (vX_[2773] * vX_[428] + vX_[2774] * vX_[416] + vX_[2775] * vX_[418] + vX_[2776] * vX_[424] +
+ vX_[2778] * vX_[406]);
+ vX_[2779] = vX_[2770] * vX_[395] + vX_[2771] * vX_[1690] + vX_[2772] * vX_[1698];
+ vX_[2780] = 0 - vX_[2779];
+ vX_[2781] = vX_[2770] * vX_[397] + vX_[2771] * vX_[395] + vX_[2772] * vX_[400];
+ vX_[2782] = 0 - vX_[2781];
+ vX_[2783] = vX_[2772] - (vX_[2779] * 38.1956380581338 * 0.1104774 + vX_[2781] * 38.1956380581338 * -0.0004405 +
+ vX_[2772] * 38.1956380581338 * 0.026181);
+ vX_[2784] = 0 - vX_[2783];
+ vX_[2785] = vX_[2767] * vX_[395] + vX_[2777] * vX_[398];
+ vX_[2786] = 0 - vX_[2785];
+ vX_[2787] = vX_[2767] * vX_[397] + vX_[2777] * vX_[395];
+ vX_[2788] = 0 - vX_[2787];
+ vX_[2789] = 0 - vX_[2783];
+ vX_[2790] = 0 - vX_[2785];
+ vX_[2791] = 0 - vX_[2787];
+ vX_[2792] = vX_[2789] * vX_[1734] + vX_[2790] * vX_[1739] + vX_[2791] * vX_[1743];
+ vX_[2793] = 0 - vX_[2785];
+ vX_[2794] = 0 - vX_[2787];
+ vX_[2795] = vX_[2793] * vX_[1749] + vX_[2794] * vX_[1753];
+ vX_[2796] = 0 - vX_[2795];
+ vX_[2797] = vX_[2769] * vX_[391] + vX_[2780] * vX_[1705] + vX_[2782] * vX_[1710] + vX_[2784] * vX_[1714] +
+ vX_[2786] * vX_[1723] + vX_[2788] * vX_[1732] + vX_[2792] * vX_[1747] + vX_[2796] * vX_[1761];
+ vX_[2798] = vX_[2797] * vX_[1887];
+ vX_[2799] = 0 - vX_[2779];
+ vX_[2800] = 0 - vX_[2781];
+ vX_[2801] = 0 - vX_[2783];
+ vX_[2802] = 0 - vX_[2785];
+ vX_[2803] = 0 - vX_[2787];
+ vX_[2804] = 0 - vX_[2792];
+ vX_[2805] = 0 - vX_[2783];
+ vX_[2806] = 0 - vX_[2785];
+ vX_[2807] = 0 - vX_[2787];
+ vX_[2808] = vX_[2805] * vX_[391] + vX_[2806] * vX_[1704] + vX_[2807] * vX_[1708];
+ vX_[2809] = vX_[2799] * vX_[1749] + vX_[2800] * vX_[1752] + vX_[2801] * vX_[1893] + vX_[2802] * vX_[1899] +
+ vX_[2803] * vX_[1904] + vX_[2804] * vX_[1911] + vX_[2808] * vX_[1761];
+ vX_[2810] = vX_[2809] * vX_[1923];
+ vX_[2811] = 0 - vX_[2798] - vX_[2810];
+ vX_[2812] = vX_[2797] * vX_[1919];
+ vX_[2813] = 0 - vX_[2768];
+ vX_[2814] = 0 - vX_[2779];
+ vX_[2815] = 0 - vX_[2781];
+ vX_[2816] = 0 - vX_[2783];
+ vX_[2817] = 0 - vX_[2785];
+ vX_[2818] = 0 - vX_[2787];
+ vX_[2819] = 0 - vX_[2808];
+ vX_[2820] = vX_[2813] * vX_[1940] + vX_[2814] * vX_[1737] + vX_[2815] * vX_[1742] + vX_[2816] * vX_[1947] +
+ vX_[2817] * vX_[1955] + vX_[2818] * vX_[1963] + vX_[2819] * vX_[1747] + vX_[2795] * vX_[1911];
+ vX_[2821] = vX_[2820] * vX_[1887];
+ vX_[2822] = vX_[2812] + vX_[2821];
+ vX_[2823] = vX_[2809] * vX_[1919];
+ vX_[2824] = vX_[2820] * vX_[1923];
+ vX_[2825] = vX_[2823] + vX_[2824];
+ vX_[2826] = vX_[2809] * vX_[1887];
+ vX_[2827] = vX_[2797] * vX_[1923];
+ vX_[2828] = vX_[2826] - vX_[2827];
+ vX_[2811] = vX_[2811] * vX_[1938] +
+ (vX_[2811] * vX_[1937] + vX_[2822] * vX_[1970] + vX_[2825] * vX_[1974] + vX_[2828] * vX_[1978]) * 2.;
+ vX_[2824] = 0 - vX_[2823] + vX_[2824];
+ vX_[2821] = vX_[2812] - vX_[2821];
+ vX_[2828] = vX_[2828] * vX_[1938] + vX_[2824] * vX_[1971] + vX_[2821] * vX_[1829];
+ vX_[2812] = 0 - vX_[2828];
+ vX_[2823] = vX_[2811] * vX_[1936] + vX_[2812] * vX_[1932];
+ vX_[2829] = vX_[2820] * vX_[1919];
+ vX_[2810] = 0 - vX_[2829] - vX_[2810];
+ vX_[2827] = vX_[2826] + vX_[2827];
+ vX_[2810] = vX_[2822] * vX_[1938] + vX_[2810] * vX_[1971] +
+ (vX_[2810] * vX_[1970] + vX_[2827] * vX_[1974] + vX_[2824] * vX_[1978]) * 2.;
+ vX_[2824] = 0 - vX_[2810];
+ vX_[2829] = 0 - vX_[2829] - vX_[2798];
+ vX_[2829] = vX_[2825] * vX_[1938] + vX_[2827] * vX_[1971] + vX_[2829] * vX_[1829] +
+ (vX_[2829] * vX_[1974] + vX_[2821] * vX_[1978]) * 2.;
+ vX_[2827] = vX_[2824] * vX_[1932] + vX_[2829] * vX_[1936];
+ vX_[2821] = vX_[2810] * vX_[1936] + vX_[2829] * vX_[1932];
+ vX_[2825] = vX_[2811] * vX_[1932] + vX_[2828] * vX_[1936];
+ vX_[2798] = vX_[2601] * vX_[1982] + vX_[2578] * vX_[1985] + vX_[2590] * vX_[1988];
+ vX_[2822] = vX_[2798] * vX_[950] * -1000.;
+ vX_[2826] = vX_[2822] * vX_[872];
+ vX_[2830] = vX_[2601] * vX_[1994] + vX_[2578] * vX_[1987] + vX_[2590] * vX_[1983];
+ vX_[2831] = vX_[2830] * vX_[950] * -1000.;
+ vX_[2832] = vX_[2831] * vX_[891];
+ vX_[2833] = 0 - vX_[2826] - vX_[2832];
+ vX_[2601] = vX_[2601] * vX_[1986] + vX_[2578] * vX_[1975] + vX_[2590] * vX_[1993];
+ vX_[2590] = vX_[2601] * vX_[950] * -1000.;
+ vX_[2578] = vX_[2590] * vX_[872];
+ vX_[2834] = vX_[2822] * vX_[909];
+ vX_[2835] = vX_[2578] + vX_[2834];
+ vX_[2836] = vX_[2590] * vX_[891];
+ vX_[2837] = vX_[2831] * vX_[909];
+ vX_[2838] = vX_[2836] + vX_[2837];
+ vX_[2839] = vX_[2822] * vX_[891];
+ vX_[2840] = vX_[2831] * vX_[872];
+ vX_[2841] = vX_[2839] - vX_[2840];
+ vX_[2833] = vX_[2833] * vX_[838] +
+ (vX_[2833] * vX_[837] + vX_[2835] * vX_[873] + vX_[2838] * vX_[842] + vX_[2841] * vX_[876]) * 2.;
+ vX_[2837] = 0 - vX_[2836] + vX_[2837];
+ vX_[2834] = vX_[2578] - vX_[2834];
+ vX_[2841] = vX_[2841] * vX_[838] + vX_[2837] * vX_[874] + vX_[2834] * vX_[843];
+ vX_[2578] = 0 - vX_[2841];
+ vX_[2836] = vX_[2833] * vX_[836] + vX_[2578] * vX_[832];
+ vX_[2842] = vX_[2590] * vX_[909];
+ vX_[2832] = 0 - vX_[2842] - vX_[2832];
+ vX_[2840] = vX_[2839] + vX_[2840];
+ vX_[2832] = vX_[2835] * vX_[838] + vX_[2832] * vX_[874] +
+ (vX_[2832] * vX_[873] + vX_[2840] * vX_[842] + vX_[2837] * vX_[876]) * 2.;
+ vX_[2837] = 0 - vX_[2832];
+ vX_[2842] = 0 - vX_[2842] - vX_[2826];
+ vX_[2842] = vX_[2838] * vX_[838] + vX_[2840] * vX_[874] + vX_[2842] * vX_[843] +
+ (vX_[2842] * vX_[842] + vX_[2834] * vX_[876]) * 2.;
+ vX_[2840] = vX_[2837] * vX_[832] + vX_[2842] * vX_[836];
+ vX_[2834] = vX_[2832] * vX_[836] + vX_[2842] * vX_[832];
+ vX_[2838] = vX_[2833] * vX_[832] + vX_[2841] * vX_[836];
+ vX_[2601] = vX_[2601] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[2601] * vX_[844] + vX_[2798] * vX_[910] + vX_[2830] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[2830] = vX_[2601] * vX_[935];
+ vX_[2798] = vX_[2601] * vX_[939];
+ vX_[2826] = (vX_[2830] * vX_[925] + vX_[2798] * vX_[926]) * 2.;
+ vX_[2835] = 0 - vX_[2798];
+ vX_[2839] = vX_[2835] * vX_[936] + vX_[2830] * vX_[927];
+ vX_[2843] = 0 - vX_[2839];
+ vX_[2844] = vX_[2826] * vX_[921] + vX_[2843] * vX_[917];
+ vX_[2845] = vX_[2601] * vX_[946];
+ vX_[2846] = 0 - vX_[2845];
+ vX_[2846] = vX_[2830] * vX_[922] + vX_[2846] * vX_[936] + (vX_[2846] * vX_[925] + vX_[2835] * vX_[928]) * 2.;
+ vX_[2835] = 0 - vX_[2846];
+ vX_[2845] = 0 - vX_[2845];
+ vX_[2845] = vX_[2798] * vX_[922] + vX_[2845] * vX_[927] + (vX_[2845] * vX_[926] + vX_[2830] * vX_[928]) * 2.;
+ vX_[2798] = vX_[2835] * vX_[917] + vX_[2845] * vX_[921];
+ vX_[2830] = vX_[2846] * vX_[921] + vX_[2845] * vX_[917];
+ vX_[2847] = vX_[2826] * vX_[917] + vX_[2839] * vX_[921];
+ vX_[2848] = vX_[2674] * vX_[2014] + vX_[2651] * vX_[2017] + vX_[2663] * vX_[2020];
+ vX_[2849] = vX_[2848] * vX_[1261] * -1000.;
+ vX_[2850] = vX_[2849] * vX_[1189];
+ vX_[2851] = vX_[2674] * vX_[2026] + vX_[2651] * vX_[2019] + vX_[2663] * vX_[2015];
+ vX_[2852] = vX_[2851] * vX_[1261] * -1000.;
+ vX_[2853] = vX_[2852] * vX_[1207];
+ vX_[2854] = 0 - vX_[2850] - vX_[2853];
+ vX_[2674] = vX_[2674] * vX_[2018] + vX_[2651] * vX_[2013] + vX_[2663] * vX_[2025];
+ vX_[2663] = vX_[2674] * vX_[1261] * -1000.;
+ vX_[2651] = vX_[2663] * vX_[1189];
+ vX_[2855] = vX_[2849] * vX_[1226];
+ vX_[2856] = vX_[2651] + vX_[2855];
+ vX_[2857] = vX_[2663] * vX_[1207];
+ vX_[2858] = vX_[2852] * vX_[1226];
+ vX_[2859] = vX_[2857] + vX_[2858];
+ vX_[2860] = vX_[2849] * vX_[1207];
+ vX_[2861] = vX_[2852] * vX_[1189];
+ vX_[2862] = vX_[2860] - vX_[2861];
+ vX_[2854] = vX_[2854] * vX_[1152] +
+ (vX_[2854] * vX_[1151] + vX_[2856] * vX_[1190] + vX_[2859] * vX_[1156] + vX_[2862] * vX_[1193]) * 2.;
+ vX_[2858] = 0 - vX_[2857] + vX_[2858];
+ vX_[2855] = vX_[2651] - vX_[2855];
+ vX_[2862] = vX_[2862] * vX_[1152] + vX_[2858] * vX_[1191] + vX_[2855] * vX_[1157];
+ vX_[2651] = 0 - vX_[2862];
+ vX_[2857] = vX_[2854] * vX_[1150] + vX_[2651] * vX_[1146];
+ vX_[2863] = vX_[2663] * vX_[1226];
+ vX_[2853] = 0 - vX_[2863] - vX_[2853];
+ vX_[2861] = vX_[2860] + vX_[2861];
+ vX_[2853] = vX_[2856] * vX_[1152] + vX_[2853] * vX_[1191] +
+ (vX_[2853] * vX_[1190] + vX_[2861] * vX_[1156] + vX_[2858] * vX_[1193]) * 2.;
+ vX_[2858] = 0 - vX_[2853];
+ vX_[2863] = 0 - vX_[2863] - vX_[2850];
+ vX_[2863] = vX_[2859] * vX_[1152] + vX_[2861] * vX_[1191] + vX_[2863] * vX_[1157] +
+ (vX_[2863] * vX_[1156] + vX_[2855] * vX_[1193]) * 2.;
+ vX_[2861] = vX_[2858] * vX_[1146] + vX_[2863] * vX_[1150];
+ vX_[2855] = vX_[2853] * vX_[1150] + vX_[2863] * vX_[1146];
+ vX_[2859] = vX_[2854] * vX_[1146] + vX_[2862] * vX_[1150];
+ vX_[2674] =
+ vX_[2674] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[2674] * vX_[1158] + vX_[2848] * vX_[1227] + vX_[2851] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[2851] = vX_[2674] * vX_[1250];
+ vX_[2848] = vX_[2674] * vX_[1181];
+ vX_[2850] = (vX_[2851] * vX_[1242] + vX_[2848] * vX_[1243]) * 2.;
+ vX_[2856] = 0 - vX_[2848];
+ vX_[2860] = vX_[2856] * vX_[1251] + vX_[2851] * vX_[1244];
+ vX_[2864] = 0 - vX_[2860];
+ vX_[2865] = vX_[2850] * vX_[1238] + vX_[2864] * vX_[1234];
+ vX_[2866] = vX_[2674] * vX_[1257];
+ vX_[2867] = 0 - vX_[2866];
+ vX_[2867] = vX_[2851] * vX_[1239] + vX_[2867] * vX_[1251] + (vX_[2867] * vX_[1242] + vX_[2856] * vX_[1245]) * 2.;
+ vX_[2856] = 0 - vX_[2867];
+ vX_[2866] = 0 - vX_[2866];
+ vX_[2866] = vX_[2848] * vX_[1239] + vX_[2866] * vX_[1244] + (vX_[2866] * vX_[1243] + vX_[2851] * vX_[1245]) * 2.;
+ vX_[2848] = vX_[2856] * vX_[1234] + vX_[2866] * vX_[1238];
+ vX_[2851] = vX_[2867] * vX_[1238] + vX_[2866] * vX_[1234];
+ vX_[2868] = vX_[2850] * vX_[1234] + vX_[2860] * vX_[1238];
+ vX_[2869] = vX_[2747] * vX_[2046] + vX_[2724] * vX_[2049] + vX_[2736] * vX_[2052];
+ vX_[2870] = vX_[2869] * vX_[1573] * -1000.;
+ vX_[2871] = vX_[2870] * vX_[1499];
+ vX_[2872] = vX_[2747] * vX_[2058] + vX_[2724] * vX_[2051] + vX_[2736] * vX_[2047];
+ vX_[2873] = vX_[2872] * vX_[1573] * -1000.;
+ vX_[2874] = vX_[2873] * vX_[1518];
+ vX_[2875] = 0 - vX_[2871] - vX_[2874];
+ vX_[2747] = vX_[2747] * vX_[2050] + vX_[2724] * vX_[2045] + vX_[2736] * vX_[2057];
+ vX_[2736] = vX_[2747] * vX_[1573] * -1000.;
+ vX_[2724] = vX_[2736] * vX_[1499];
+ vX_[2876] = vX_[2870] * vX_[1536];
+ vX_[2877] = vX_[2724] + vX_[2876];
+ vX_[2878] = vX_[2736] * vX_[1518];
+ vX_[2879] = vX_[2873] * vX_[1536];
+ vX_[2880] = vX_[2878] + vX_[2879];
+ vX_[2881] = vX_[2870] * vX_[1518];
+ vX_[2882] = vX_[2873] * vX_[1499];
+ vX_[2883] = vX_[2881] - vX_[2882];
+ vX_[2875] = vX_[2875] * vX_[1463] +
+ (vX_[2875] * vX_[1462] + vX_[2877] * vX_[1500] + vX_[2880] * vX_[1467] + vX_[2883] * vX_[1503]) * 2.;
+ vX_[2879] = 0 - vX_[2878] + vX_[2879];
+ vX_[2876] = vX_[2724] - vX_[2876];
+ vX_[2883] = vX_[2883] * vX_[1463] + vX_[2879] * vX_[1501] + vX_[2876] * vX_[1468];
+ vX_[2724] = 0 - vX_[2883];
+ vX_[2878] = vX_[2875] * vX_[1461] + vX_[2724] * vX_[1457];
+ vX_[2884] = vX_[2736] * vX_[1536];
+ vX_[2874] = 0 - vX_[2884] - vX_[2874];
+ vX_[2882] = vX_[2881] + vX_[2882];
+ vX_[2874] = vX_[2877] * vX_[1463] + vX_[2874] * vX_[1501] +
+ (vX_[2874] * vX_[1500] + vX_[2882] * vX_[1467] + vX_[2879] * vX_[1503]) * 2.;
+ vX_[2879] = 0 - vX_[2874];
+ vX_[2884] = 0 - vX_[2884] - vX_[2871];
+ vX_[2884] = vX_[2880] * vX_[1463] + vX_[2882] * vX_[1501] + vX_[2884] * vX_[1468] +
+ (vX_[2884] * vX_[1467] + vX_[2876] * vX_[1503]) * 2.;
+ vX_[2882] = vX_[2879] * vX_[1457] + vX_[2884] * vX_[1461];
+ vX_[2876] = vX_[2874] * vX_[1461] + vX_[2884] * vX_[1457];
+ vX_[2880] = vX_[2875] * vX_[1457] + vX_[2883] * vX_[1461];
+ vX_[2747] =
+ vX_[2747] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[2747] * vX_[1469] + vX_[2869] * vX_[1537] + vX_[2872] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[2872] = vX_[2747] * vX_[1560];
+ vX_[2869] = vX_[2747] * vX_[1491];
+ vX_[2871] = (vX_[2872] * vX_[1552] + vX_[2869] * vX_[1553]) * 2.;
+ vX_[2877] = 0 - vX_[2869];
+ vX_[2881] = vX_[2877] * vX_[1561] + vX_[2872] * vX_[1554];
+ vX_[2885] = 0 - vX_[2881];
+ vX_[2886] = vX_[2871] * vX_[1548] + vX_[2885] * vX_[1544];
+ vX_[2887] = vX_[2747] * vX_[1569];
+ vX_[2888] = 0 - vX_[2887];
+ vX_[2888] = vX_[2872] * vX_[1549] + vX_[2888] * vX_[1561] + (vX_[2888] * vX_[1552] + vX_[2877] * vX_[1555]) * 2.;
+ vX_[2877] = 0 - vX_[2888];
+ vX_[2887] = 0 - vX_[2887];
+ vX_[2887] = vX_[2869] * vX_[1549] + vX_[2887] * vX_[1554] + (vX_[2887] * vX_[1553] + vX_[2872] * vX_[1555]) * 2.;
+ vX_[2869] = vX_[2877] * vX_[1544] + vX_[2887] * vX_[1548];
+ vX_[2872] = vX_[2888] * vX_[1548] + vX_[2887] * vX_[1544];
+ vX_[2889] = vX_[2871] * vX_[1544] + vX_[2881] * vX_[1548];
+ vX_[2890] = vX_[2820] * vX_[2078] + vX_[2797] * vX_[2081] + vX_[2809] * vX_[2084];
+ vX_[2891] = vX_[2890] * vX_[1886] * -1000.;
+ vX_[2892] = vX_[2891] * vX_[1809];
+ vX_[2893] = vX_[2820] * vX_[2090] + vX_[2797] * vX_[2083] + vX_[2809] * vX_[2079];
+ vX_[2894] = vX_[2893] * vX_[1886] * -1000.;
+ vX_[2895] = vX_[2894] * vX_[1828];
+ vX_[2896] = 0 - vX_[2892] - vX_[2895];
+ vX_[2820] = vX_[2820] * vX_[2082] + vX_[2797] * vX_[2077] + vX_[2809] * vX_[2089];
+ vX_[2809] = vX_[2820] * vX_[1886] * -1000.;
+ vX_[2797] = vX_[2809] * vX_[1809];
+ vX_[2897] = vX_[2891] * vX_[1846];
+ vX_[2898] = vX_[2797] + vX_[2897];
+ vX_[2899] = vX_[2809] * vX_[1828];
+ vX_[2900] = vX_[2894] * vX_[1846];
+ vX_[2901] = vX_[2899] + vX_[2900];
+ vX_[2902] = vX_[2891] * vX_[1828];
+ vX_[2903] = vX_[2894] * vX_[1809];
+ vX_[2904] = vX_[2902] - vX_[2903];
+ vX_[2896] = vX_[2896] * vX_[1775] +
+ (vX_[2896] * vX_[1774] + vX_[2898] * vX_[1810] + vX_[2901] * vX_[1779] + vX_[2904] * vX_[1813]) * 2.;
+ vX_[2900] = 0 - vX_[2899] + vX_[2900];
+ vX_[2897] = vX_[2797] - vX_[2897];
+ vX_[2904] = vX_[2904] * vX_[1775] + vX_[2900] * vX_[1811] + vX_[2897] * vX_[1780];
+ vX_[2797] = 0 - vX_[2904];
+ vX_[2899] = vX_[2896] * vX_[1773] + vX_[2797] * vX_[1769];
+ vX_[2905] = vX_[2809] * vX_[1846];
+ vX_[2895] = 0 - vX_[2905] - vX_[2895];
+ vX_[2903] = vX_[2902] + vX_[2903];
+ vX_[2895] = vX_[2898] * vX_[1775] + vX_[2895] * vX_[1811] +
+ (vX_[2895] * vX_[1810] + vX_[2903] * vX_[1779] + vX_[2900] * vX_[1813]) * 2.;
+ vX_[2900] = 0 - vX_[2895];
+ vX_[2905] = 0 - vX_[2905] - vX_[2892];
+ vX_[2905] = vX_[2901] * vX_[1775] + vX_[2903] * vX_[1811] + vX_[2905] * vX_[1780] +
+ (vX_[2905] * vX_[1779] + vX_[2897] * vX_[1813]) * 2.;
+ vX_[2903] = vX_[2900] * vX_[1769] + vX_[2905] * vX_[1773];
+ vX_[2897] = vX_[2895] * vX_[1773] + vX_[2905] * vX_[1769];
+ vX_[2901] = vX_[2896] * vX_[1769] + vX_[2904] * vX_[1773];
+ vX_[2820] =
+ vX_[2820] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[2820] * vX_[1781] + vX_[2890] * vX_[1847] + vX_[2893] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[200] = vX_[2601] + vX_[2674] + vX_[2747] + vX_[2820];
+ vX_[2893] = vX_[2820] * vX_[1870];
+ vX_[2890] = vX_[2820] * vX_[1875];
+ vX_[2892] = (vX_[2893] * vX_[1862] + vX_[2890] * vX_[1863]) * 2.;
+ vX_[2898] = 0 - vX_[2890];
+ vX_[2902] = vX_[2898] * vX_[1871] + vX_[2893] * vX_[1864];
+ vX_[2906] = 0 - vX_[2902];
+ vX_[2907] = vX_[2892] * vX_[1858] + vX_[2906] * vX_[1854];
+ vX_[2908] = vX_[2820] * vX_[1882];
+ vX_[2909] = 0 - vX_[2908];
+ vX_[2909] = vX_[2893] * vX_[1859] + vX_[2909] * vX_[1871] + (vX_[2909] * vX_[1862] + vX_[2898] * vX_[1865]) * 2.;
+ vX_[2898] = 0 - vX_[2909];
+ vX_[2908] = 0 - vX_[2908];
+ vX_[2908] = vX_[2890] * vX_[1859] + vX_[2908] * vX_[1864] + (vX_[2908] * vX_[1863] + vX_[2893] * vX_[1865]) * 2.;
+ vX_[2890] = vX_[2898] * vX_[1854] + vX_[2908] * vX_[1858];
+ vX_[2893] = vX_[2909] * vX_[1858] + vX_[2908] * vX_[1854];
+ vX_[2910] = vX_[2892] * vX_[1854] + vX_[2902] * vX_[1858];
+ jac[20] = ((vX_[2604] * vX_[999] + vX_[2608] * vX_[994]) * vX_[1029] -
+ (vX_[2602] * vX_[999] + vX_[2606] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[2677] * vX_[1308] + vX_[2681] * vX_[1303]) * vX_[1340] -
+ (vX_[2675] * vX_[1308] + vX_[2679] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[2750] * vX_[1620] + vX_[2754] * vX_[1615]) * vX_[1650] -
+ (vX_[2748] * vX_[1620] + vX_[2752] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[2823] * vX_[1934] + vX_[2827] * vX_[1929]) * vX_[1966] -
+ (vX_[2821] * vX_[1934] + vX_[2825] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[2836] * vX_[834] + vX_[2840] * vX_[829]) * vX_[1992] -
+ (vX_[2834] * vX_[834] + vX_[2838] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[2844] * vX_[919] + vX_[2798] * vX_[914]) * vX_[1995] -
+ (vX_[2830] * vX_[919] + vX_[2847] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[2857] * vX_[1148] + vX_[2861] * vX_[1143]) * vX_[2024] -
+ (vX_[2855] * vX_[1148] + vX_[2859] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[2865] * vX_[1236] + vX_[2848] * vX_[1231]) * vX_[2027] -
+ (vX_[2851] * vX_[1236] + vX_[2868] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[2878] * vX_[1459] + vX_[2882] * vX_[1454]) * vX_[2056] -
+ (vX_[2876] * vX_[1459] + vX_[2880] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[2886] * vX_[1546] + vX_[2869] * vX_[1541]) * vX_[2059] -
+ (vX_[2872] * vX_[1546] + vX_[2889] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[2899] * vX_[1771] + vX_[2903] * vX_[1766]) * vX_[2088] -
+ (vX_[2897] * vX_[1771] + vX_[2901] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[2907] * vX_[1856] + vX_[2890] * vX_[1851]) * vX_[2091] -
+ (vX_[2893] * vX_[1856] + vX_[2910] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[2911] = 0.5 * x_in[0];
+ vX_[2912] = sin(vX_[2911]);
+ vX_[2913] = 0.5 * x_in[1];
+ vX_[2914] = cos(vX_[2913]);
+ vX_[2915] = vX_[2912] * vX_[2914];
+ vX_[2916] = 0.5 * x_in[2];
+ vX_[2917] = cos(vX_[2916]);
+ vX_[2918] = cos(vX_[2911]);
+ vX_[2919] = sin(vX_[2913]);
+ vX_[2920] = vX_[2918] * vX_[2919];
+ vX_[2921] = sin(vX_[2916]);
+ vX_[2922] = vX_[2915] * vX_[2917] + vX_[2920] * vX_[2921];
+ vX_[2923] = -9.81 * vX_[2922] * 2.;
+ vX_[2924] = vX_[2920] * vX_[2917] - vX_[2915] * vX_[2921];
+ vX_[2925] = 2. * vX_[2924];
+ vX_[2926] = 9.81 * vX_[2925];
+ vX_[2927] = 0 - vX_[2926];
+ vX_[2928] = vX_[2923] * vX_[2917] + vX_[2927] * vX_[2921];
+ vX_[2929] = vX_[2918] * vX_[2914];
+ vX_[2930] = vX_[2912] * vX_[2919];
+ vX_[2931] = vX_[2929] * vX_[2917] - vX_[2930] * vX_[2921];
+ vX_[2932] = 9.81 * vX_[2931] * 2.;
+ vX_[2933] = 0 - vX_[2932];
+ vX_[2934] = 2. * (vX_[2929] * vX_[2921] + vX_[2930] * vX_[2917]);
+ vX_[2935] = -9.81 * vX_[2934];
+ vX_[2936] = vX_[2933] * vX_[2921] + vX_[2935] * vX_[2917];
+ vX_[2937] = cos(vX_[2911]);
+ vX_[2938] = vX_[2932] * vX_[2917] + vX_[2935] * vX_[2921];
+ vX_[2939] = vX_[2923] * vX_[2921] + vX_[2926] * vX_[2917];
+ vX_[2911] = sin(vX_[2911]);
+ vX_[2940] = 0 - vX_[737];
+ vX_[2941] = (vX_[722] + vX_[2940] * vX_[712]) * 1 / vX_[720];
+ vX_[2942] = 0 - vX_[2941];
+ vX_[2943] = (vX_[737] + vX_[2942] * vX_[743]) * 1 / vX_[718];
+ vX_[2944] = 0 - vX_[2941];
+ vX_[2945] = 0 - vX_[2943];
+ vX_[2946] = 0 - vX_[2941];
+ vX_[2947] = 0 - vX_[2943];
+ vX_[2948] = (-1 + vX_[2946] * vX_[689] + vX_[2947] * vX_[736]) * 1 / vX_[721];
+ vX_[2949] = 0 - vX_[2948];
+ vX_[2950] = (vX_[2944] * vX_[682] + vX_[2945] * vX_[730] + vX_[2949] * vX_[509]) * 1 / vX_[618];
+ vX_[2951] = 0 - vX_[2941];
+ vX_[2952] = 0 - vX_[2943];
+ vX_[2953] = 0 - vX_[2948];
+ vX_[2954] = 0 - vX_[2950];
+ vX_[2955] =
+ (vX_[2951] * vX_[662] + vX_[2952] * vX_[633] + vX_[2953] * vX_[691] + vX_[2954] * vX_[667]) * 1 / vX_[616];
+ vX_[2956] = 0 - vX_[2941];
+ vX_[2957] = 0 - vX_[2943];
+ vX_[2958] = 0 - vX_[2948];
+ vX_[2959] = 0 - vX_[2950];
+ vX_[2960] = 0 - vX_[2955];
+ vX_[2961] = (vX_[2956] * vX_[510] + vX_[2957] * vX_[518] + vX_[2958] * vX_[690] + vX_[2959] * vX_[628] +
+ vX_[2960] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2962] =
+ vX_[2941] * vX_[126] + vX_[2943] * vX_[1] + vX_[2950] * vX_[140] + vX_[2955] * vX_[138] + vX_[2961] * vX_[706];
+ vX_[2963] = vX_[2948] + vX_[2950] * 0.207;
+ vX_[2964] = vX_[2963] * 1 / vX_[123];
+ vX_[2965] = vX_[2962] * 1 / vX_[123];
+ vX_[2966] =
+ vX_[2941] * vX_[729] + vX_[2943] * vX_[126] + vX_[2950] * vX_[728] + vX_[2955] * vX_[727] + vX_[2961] * vX_[27];
+ vX_[2967] = vX_[2966] * 1 / vX_[123];
+ vX_[2968] = vX_[2961] * 1 / vX_[123];
+ vX_[2969] = vX_[2950] * vX_[126] + vX_[2955] * vX_[1];
+ vX_[2970] = vX_[2969] * 1 / vX_[123];
+ vX_[2971] = vX_[2950] * vX_[139] + vX_[2955] * vX_[126];
+ vX_[2972] = vX_[2971] * 1 / vX_[123];
+ vX_[2973] = vX_[2961] - (vX_[2964] * vX_[135] + vX_[2965] * vX_[97] + vX_[2967] * vX_[88] + vX_[2968] * vX_[123] +
+ vX_[2970] * vX_[148] + vX_[2972] * vX_[157]);
+ vX_[2974] = vX_[2962] + vX_[2973] * 0.08;
+ vX_[2975] = vX_[2973] * vX_[76] + vX_[2971] * vX_[4];
+ vX_[2976] = vX_[2974] + vX_[2975] * -0.35;
+ vX_[2977] = 0 - vX_[2976];
+ vX_[2978] = vX_[2963] * vX_[750] + vX_[2966] * vX_[751] + vX_[2969] * vX_[752];
+ vX_[2979] = vX_[2963] * vX_[754] + vX_[2966] * vX_[75] + vX_[2969] * vX_[93];
+ vX_[2980] = vX_[2978] * 1 / vX_[72];
+ vX_[2981] = vX_[2979] * 1 / vX_[72];
+ vX_[2982] = vX_[2969] * 1 / vX_[72];
+ vX_[2983] = vX_[2975] * 1 / vX_[72];
+ vX_[2984] = vX_[2973] * vX_[4] + vX_[2971] * vX_[75];
+ vX_[2985] = vX_[2984] * 1 / vX_[72];
+ vX_[2986] = vX_[2969] - (vX_[2980] * vX_[83] + vX_[2981] * vX_[70] + vX_[2982] * vX_[72] + vX_[2983] * vX_[79] +
+ vX_[2985] * vX_[60]);
+ vX_[2987] = vX_[2978] * vX_[7] + vX_[2979] * vX_[756] + vX_[2986] * vX_[764];
+ vX_[2988] = 0 - vX_[2987];
+ vX_[2989] = vX_[2978] * vX_[51] + vX_[2979] * vX_[7] + vX_[2986] * vX_[54];
+ vX_[2990] = 0 - vX_[2989];
+ vX_[2991] = vX_[2986] - (vX_[2987] * 38.1956380581338 * 0.1104774 + vX_[2989] * 38.1956380581338 * 0.0004405 +
+ vX_[2986] * 38.1956380581338 * 0.026181);
+ vX_[2992] = 0 - vX_[2991];
+ vX_[2993] = vX_[2975] * vX_[7] + vX_[2984] * vX_[52];
+ vX_[2994] = 0 - vX_[2993];
+ vX_[2995] = vX_[2975] * vX_[51] + vX_[2984] * vX_[7];
+ vX_[2996] = 0 - vX_[2995];
+ vX_[2997] = 0 - vX_[2991];
+ vX_[2998] = 0 - vX_[2993];
+ vX_[2999] = 0 - vX_[2995];
+ vX_[3000] = vX_[2997] * vX_[126] + vX_[2998] * vX_[803] + vX_[2999] * vX_[806];
+ vX_[3001] = 0 - vX_[2993];
+ vX_[3002] = 0 - vX_[2995];
+ vX_[3003] = vX_[3001] * vX_[812] + vX_[3002] * vX_[816];
+ vX_[3004] = 0 - vX_[3003];
+ vX_[3005] = vX_[2977] * vX_[1] + vX_[2988] * vX_[771] + vX_[2990] * vX_[776] + vX_[2992] * vX_[780] +
+ vX_[2994] * vX_[789] + vX_[2996] * vX_[797] + vX_[3000] * vX_[810] + vX_[3004] * vX_[824];
+ vX_[3006] = vX_[3005] * vX_[951];
+ vX_[3007] = 0 - vX_[2987];
+ vX_[3008] = 0 - vX_[2989];
+ vX_[3009] = 0 - vX_[2991];
+ vX_[3010] = 0 - vX_[2993];
+ vX_[3011] = 0 - vX_[2995];
+ vX_[3012] = 0 - vX_[3000];
+ vX_[3013] = 0 - vX_[2991];
+ vX_[3014] = 0 - vX_[2993];
+ vX_[3015] = 0 - vX_[2995];
+ vX_[3016] = vX_[3013] * vX_[1] + vX_[3014] * vX_[770] + vX_[3015] * vX_[775];
+ vX_[3017] = vX_[3007] * vX_[812] + vX_[3008] * vX_[815] + vX_[3009] * vX_[957] + vX_[3010] * vX_[963] +
+ vX_[3011] * vX_[968] + vX_[3012] * vX_[975] + vX_[3016] * vX_[824];
+ vX_[3018] = vX_[3017] * vX_[988];
+ vX_[3019] = 0 - vX_[3006] - vX_[3018];
+ vX_[3020] = vX_[3005] * vX_[984];
+ vX_[3021] = 0 - vX_[2976];
+ vX_[3022] = 0 - vX_[2987];
+ vX_[3023] = 0 - vX_[2989];
+ vX_[3024] = 0 - vX_[2991];
+ vX_[3025] = 0 - vX_[2993];
+ vX_[3026] = 0 - vX_[2995];
+ vX_[3027] = 0 - vX_[3016];
+ vX_[3028] = vX_[3021] * vX_[126] + vX_[3022] * vX_[801] + vX_[3023] * vX_[805] + vX_[3024] * vX_[1010] +
+ vX_[3025] * vX_[1018] + vX_[3026] * vX_[1026] + vX_[3027] * vX_[810] + vX_[3003] * vX_[975];
+ vX_[3029] = vX_[3028] * vX_[951];
+ vX_[3030] = vX_[3020] + vX_[3029];
+ vX_[3031] = vX_[3017] * vX_[984];
+ vX_[3032] = vX_[3028] * vX_[988];
+ vX_[3033] = vX_[3031] + vX_[3032];
+ vX_[3034] = vX_[3017] * vX_[951];
+ vX_[3035] = vX_[3005] * vX_[988];
+ vX_[3036] = vX_[3034] - vX_[3035];
+ vX_[3019] = vX_[3019] * vX_[1003] +
+ (vX_[3019] * vX_[1002] + vX_[3030] * vX_[1033] + vX_[3033] * vX_[1037] + vX_[3036] * vX_[1041]) * 2.;
+ vX_[3032] = 0 - vX_[3031] + vX_[3032];
+ vX_[3029] = vX_[3020] - vX_[3029];
+ vX_[3036] = vX_[3036] * vX_[1003] + vX_[3032] * vX_[1034] + vX_[3029] * vX_[892];
+ vX_[3020] = 0 - vX_[3036];
+ vX_[3031] = vX_[3019] * vX_[1001] + vX_[3020] * vX_[997];
+ vX_[3037] = vX_[3028] * vX_[984];
+ vX_[3018] = 0 - vX_[3037] - vX_[3018];
+ vX_[3035] = vX_[3034] + vX_[3035];
+ vX_[3018] = vX_[3030] * vX_[1003] + vX_[3018] * vX_[1034] +
+ (vX_[3018] * vX_[1033] + vX_[3035] * vX_[1037] + vX_[3032] * vX_[1041]) * 2.;
+ vX_[3032] = 0 - vX_[3018];
+ vX_[3037] = 0 - vX_[3037] - vX_[3006];
+ vX_[3037] = vX_[3033] * vX_[1003] + vX_[3035] * vX_[1034] + vX_[3037] * vX_[892] +
+ (vX_[3037] * vX_[1037] + vX_[3029] * vX_[1041]) * 2.;
+ vX_[3035] = vX_[3032] * vX_[997] + vX_[3037] * vX_[1001];
+ vX_[3029] = vX_[3018] * vX_[1001] + vX_[3037] * vX_[997];
+ vX_[3033] = vX_[3019] * vX_[997] + vX_[3036] * vX_[1001];
+ vX_[3006] = vX_[2941] * vX_[235] + vX_[2943] * vX_[1030] + vX_[2950] * vX_[250] + vX_[2955] * vX_[248] +
+ vX_[2961] * vX_[1038];
+ vX_[3030] = vX_[2961] * -1;
+ vX_[3034] = vX_[2948] * -1 + vX_[2950] * 0.207;
+ vX_[3038] = vX_[3034] * 1 / vX_[232];
+ vX_[3039] = vX_[3006] * 1 / vX_[232];
+ vX_[3040] = vX_[2941] * vX_[1050] + vX_[2943] * vX_[1051] + vX_[2950] * vX_[1052] + vX_[2955] * vX_[1053] +
+ vX_[2961] * vX_[164];
+ vX_[3041] = vX_[3040] * 1 / vX_[232];
+ vX_[3042] = vX_[3030] * 1 / vX_[232];
+ vX_[3043] = vX_[2950] * vX_[235] + vX_[2955] * vX_[249];
+ vX_[3044] = vX_[3043] * 1 / vX_[232];
+ vX_[3045] = vX_[2950] * vX_[249] + vX_[2955] * vX_[247];
+ vX_[3046] = vX_[3045] * 1 / vX_[232];
+ vX_[3030] = vX_[3030] - (vX_[3038] * vX_[244] + vX_[3039] * vX_[206] + vX_[3041] * vX_[196] + vX_[3042] * vX_[232] +
+ vX_[3044] * vX_[258] + vX_[3046] * vX_[267]);
+ vX_[3047] = vX_[3006] * -1 + vX_[3030] * -0.08;
+ vX_[3048] = vX_[3030] * vX_[186] + vX_[3045] * vX_[195];
+ vX_[3049] = vX_[3047] + vX_[3048] * -0.35;
+ vX_[3050] = 0 - vX_[3049];
+ vX_[3051] = vX_[3034] * vX_[186] + vX_[3040] * vX_[1065] + vX_[3043] * vX_[1066];
+ vX_[3052] = vX_[3034] * vX_[166] + vX_[3040] * vX_[186] + vX_[3043] * vX_[201];
+ vX_[3053] = vX_[3043] * -1;
+ vX_[3054] = vX_[3051] * 1 / vX_[183];
+ vX_[3055] = vX_[3052] * 1 / vX_[183];
+ vX_[3056] = vX_[3053] * 1 / vX_[183];
+ vX_[3057] = vX_[3048] * 1 / vX_[183];
+ vX_[3058] = vX_[3030] * vX_[166] + vX_[3045] * vX_[186];
+ vX_[3059] = vX_[3058] * 1 / vX_[183];
+ vX_[3053] = vX_[3053] - (vX_[3054] * vX_[190] + vX_[3055] * vX_[181] + vX_[3056] * vX_[183] + vX_[3057] * 2.1e-05 +
+ vX_[3059] * -0.000102);
+ vX_[3060] = vX_[3051] * vX_[169] + vX_[3052] * vX_[1069] + vX_[3053] * vX_[1077];
+ vX_[3061] = 0 - vX_[3060];
+ vX_[3062] = vX_[3051] * vX_[167] + vX_[3052] * vX_[169] + vX_[3053] * vX_[168];
+ vX_[3063] = 0 - vX_[3062];
+ vX_[3064] = vX_[3053] - (vX_[3060] * 38.1956380581338 * 0.110125 + vX_[3062] * 38.1956380581338 * 0.000881 +
+ vX_[3053] * 38.1956380581338 * 0.026181);
+ vX_[3065] = 0 - vX_[3064];
+ vX_[3066] = vX_[3048] * vX_[169] + vX_[3058] * vX_[175];
+ vX_[3067] = 0 - vX_[3066];
+ vX_[3068] = vX_[3048] * vX_[167] + vX_[3058] * vX_[169];
+ vX_[3069] = 0 - vX_[3068];
+ vX_[3070] = 0 - vX_[3064];
+ vX_[3071] = 0 - vX_[3066];
+ vX_[3072] = 0 - vX_[3068];
+ vX_[3073] = vX_[3070] * vX_[1111] + vX_[3071] * vX_[1116] + vX_[3072] * vX_[1120];
+ vX_[3074] = 0 - vX_[3066];
+ vX_[3075] = 0 - vX_[3068];
+ vX_[3076] = vX_[3074] * vX_[1126] + vX_[3075] * vX_[1130];
+ vX_[3077] = 0 - vX_[3076];
+ vX_[3078] = vX_[3050] * vX_[163] + vX_[3061] * vX_[1083] + vX_[3063] * vX_[1088] + vX_[3065] * vX_[1092] +
+ vX_[3067] * vX_[1101] + vX_[3069] * vX_[1109] + vX_[3073] * vX_[1124] + vX_[3077] * vX_[1138];
+ vX_[3079] = vX_[3078] * vX_[1262];
+ vX_[3080] = 0 - vX_[3060];
+ vX_[3081] = 0 - vX_[3062];
+ vX_[3082] = 0 - vX_[3064];
+ vX_[3083] = 0 - vX_[3066];
+ vX_[3084] = 0 - vX_[3068];
+ vX_[3085] = 0 - vX_[3073];
+ vX_[3086] = 0 - vX_[3064];
+ vX_[3087] = 0 - vX_[3066];
+ vX_[3088] = 0 - vX_[3068];
+ vX_[3089] = vX_[3086] * vX_[163] + vX_[3087] * vX_[1082] + vX_[3088] * vX_[1086];
+ vX_[3090] = vX_[3080] * vX_[1126] + vX_[3081] * vX_[1129] + vX_[3082] * vX_[1268] + vX_[3083] * vX_[1274] +
+ vX_[3084] * vX_[1279] + vX_[3085] * vX_[1219] + vX_[3089] * vX_[1138];
+ vX_[3091] = vX_[3090] * vX_[1297];
+ vX_[3092] = 0 - vX_[3079] - vX_[3091];
+ vX_[3093] = vX_[3078] * vX_[1293];
+ vX_[3094] = 0 - vX_[3049];
+ vX_[3095] = 0 - vX_[3060];
+ vX_[3096] = 0 - vX_[3062];
+ vX_[3097] = 0 - vX_[3064];
+ vX_[3098] = 0 - vX_[3066];
+ vX_[3099] = 0 - vX_[3068];
+ vX_[3100] = 0 - vX_[3089];
+ vX_[3101] = vX_[3094] * vX_[1314] + vX_[3095] * vX_[1114] + vX_[3096] * vX_[1119] + vX_[3097] * vX_[1321] +
+ vX_[3098] * vX_[1329] + vX_[3099] * vX_[1337] + vX_[3100] * vX_[1124] + vX_[3076] * vX_[1219];
+ vX_[3102] = vX_[3101] * vX_[1262];
+ vX_[3103] = vX_[3093] + vX_[3102];
+ vX_[3104] = vX_[3090] * vX_[1293];
+ vX_[3105] = vX_[3101] * vX_[1297];
+ vX_[3106] = vX_[3104] + vX_[3105];
+ vX_[3107] = vX_[3090] * vX_[1262];
+ vX_[3108] = vX_[3078] * vX_[1297];
+ vX_[3109] = vX_[3107] - vX_[3108];
+ vX_[3092] = vX_[3092] * vX_[1312] +
+ (vX_[3092] * vX_[1311] + vX_[3103] * vX_[1344] + vX_[3106] * vX_[1348] + vX_[3109] * vX_[1352]) * 2.;
+ vX_[3105] = 0 - vX_[3104] + vX_[3105];
+ vX_[3102] = vX_[3093] - vX_[3102];
+ vX_[3109] = vX_[3109] * vX_[1312] + vX_[3105] * vX_[1345] + vX_[3102] * vX_[1208];
+ vX_[3093] = 0 - vX_[3109];
+ vX_[3104] = vX_[3092] * vX_[1310] + vX_[3093] * vX_[1306];
+ vX_[3110] = vX_[3101] * vX_[1293];
+ vX_[3091] = 0 - vX_[3110] - vX_[3091];
+ vX_[3108] = vX_[3107] + vX_[3108];
+ vX_[3091] = vX_[3103] * vX_[1312] + vX_[3091] * vX_[1345] +
+ (vX_[3091] * vX_[1344] + vX_[3108] * vX_[1348] + vX_[3105] * vX_[1352]) * 2.;
+ vX_[3105] = 0 - vX_[3091];
+ vX_[3110] = 0 - vX_[3110] - vX_[3079];
+ vX_[3110] = vX_[3106] * vX_[1312] + vX_[3108] * vX_[1345] + vX_[3110] * vX_[1208] +
+ (vX_[3110] * vX_[1348] + vX_[3102] * vX_[1352]) * 2.;
+ vX_[3108] = vX_[3105] * vX_[1306] + vX_[3110] * vX_[1310];
+ vX_[3102] = vX_[3091] * vX_[1310] + vX_[3110] * vX_[1306];
+ vX_[3106] = vX_[3092] * vX_[1306] + vX_[3109] * vX_[1310];
+ vX_[3079] = vX_[2941] * vX_[354] + vX_[2943] * vX_[273] + vX_[2950] * vX_[368] + vX_[2955] * vX_[366] +
+ vX_[2961] * vX_[1341];
+ vX_[3103] = vX_[2948] + vX_[2950] * 0.207;
+ vX_[3107] = vX_[3103] * 1 / vX_[351];
+ vX_[3111] = vX_[3079] * 1 / vX_[351];
+ vX_[3112] = vX_[2941] * vX_[1359] + vX_[2943] * vX_[354] + vX_[2950] * vX_[1360] + vX_[2955] * vX_[1361] +
+ vX_[2961] * vX_[274];
+ vX_[3113] = vX_[3112] * 1 / vX_[351];
+ vX_[3114] = vX_[2961] * 1 / vX_[351];
+ vX_[3115] = vX_[2950] * vX_[354] + vX_[2955] * vX_[273];
+ vX_[3116] = vX_[3115] * 1 / vX_[351];
+ vX_[3117] = vX_[2950] * vX_[367] + vX_[2955] * vX_[354];
+ vX_[3118] = vX_[3117] * 1 / vX_[351];
+ vX_[3119] = vX_[2961] - (vX_[3107] * vX_[363] + vX_[3111] * vX_[325] + vX_[3113] * vX_[316] + vX_[3114] * vX_[351] +
+ vX_[3116] * vX_[376] + vX_[3118] * vX_[385]);
+ vX_[3120] = vX_[3079] + vX_[3119] * 0.08;
+ vX_[3121] = vX_[3119] * vX_[304] + vX_[3117] * vX_[276];
+ vX_[3122] = vX_[3120] + vX_[3121] * -0.35;
+ vX_[3123] = 0 - vX_[3122];
+ vX_[3124] = vX_[3103] * vX_[1374] + vX_[3112] * vX_[1375] + vX_[3115] * vX_[1376];
+ vX_[3125] = vX_[3103] * vX_[1378] + vX_[3112] * vX_[303] + vX_[3115] * vX_[321];
+ vX_[3126] = vX_[3124] * 1 / vX_[300];
+ vX_[3127] = vX_[3125] * 1 / vX_[300];
+ vX_[3128] = vX_[3115] * 1 / vX_[300];
+ vX_[3129] = vX_[3121] * 1 / vX_[300];
+ vX_[3130] = vX_[3119] * vX_[276] + vX_[3117] * vX_[303];
+ vX_[3131] = vX_[3130] * 1 / vX_[300];
+ vX_[3132] = vX_[3115] - (vX_[3126] * vX_[311] + vX_[3127] * vX_[298] + vX_[3128] * vX_[300] + vX_[3129] * vX_[307] +
+ vX_[3131] * vX_[288]);
+ vX_[3133] = vX_[3124] * vX_[277] + vX_[3125] * vX_[1380] + vX_[3132] * vX_[1388];
+ vX_[3134] = 0 - vX_[3133];
+ vX_[3135] = vX_[3124] * vX_[279] + vX_[3125] * vX_[277] + vX_[3132] * vX_[282];
+ vX_[3136] = 0 - vX_[3135];
+ vX_[3137] = vX_[3132] - (vX_[3133] * 38.1956380581338 * 0.1104774 + vX_[3135] * 38.1956380581338 * -0.0004405 +
+ vX_[3132] * 38.1956380581338 * 0.026181);
+ vX_[3138] = 0 - vX_[3137];
+ vX_[3139] = vX_[3121] * vX_[277] + vX_[3130] * vX_[280];
+ vX_[3140] = 0 - vX_[3139];
+ vX_[3141] = vX_[3121] * vX_[279] + vX_[3130] * vX_[277];
+ vX_[3142] = 0 - vX_[3141];
+ vX_[3143] = 0 - vX_[3137];
+ vX_[3144] = 0 - vX_[3139];
+ vX_[3145] = 0 - vX_[3141];
+ vX_[3146] = vX_[3143] * vX_[354] + vX_[3144] * vX_[1428] + vX_[3145] * vX_[1431];
+ vX_[3147] = 0 - vX_[3139];
+ vX_[3148] = 0 - vX_[3141];
+ vX_[3149] = vX_[3147] * vX_[1437] + vX_[3148] * vX_[1441];
+ vX_[3150] = 0 - vX_[3149];
+ vX_[3151] = vX_[3123] * vX_[273] + vX_[3134] * vX_[1395] + vX_[3136] * vX_[1400] + vX_[3138] * vX_[1404] +
+ vX_[3140] * vX_[1413] + vX_[3142] * vX_[1422] + vX_[3146] * vX_[1435] + vX_[3150] * vX_[1449];
+ vX_[3152] = vX_[3151] * vX_[1574];
+ vX_[3153] = 0 - vX_[3133];
+ vX_[3154] = 0 - vX_[3135];
+ vX_[3155] = 0 - vX_[3137];
+ vX_[3156] = 0 - vX_[3139];
+ vX_[3157] = 0 - vX_[3141];
+ vX_[3158] = 0 - vX_[3146];
+ vX_[3159] = 0 - vX_[3137];
+ vX_[3160] = 0 - vX_[3139];
+ vX_[3161] = 0 - vX_[3141];
+ vX_[3162] = vX_[3159] * vX_[273] + vX_[3160] * vX_[1394] + vX_[3161] * vX_[1399];
+ vX_[3163] = vX_[3153] * vX_[1437] + vX_[3154] * vX_[1440] + vX_[3155] * vX_[1580] + vX_[3156] * vX_[1586] +
+ vX_[3157] * vX_[1591] + vX_[3158] * vX_[1596] + vX_[3162] * vX_[1449];
+ vX_[3164] = vX_[3163] * vX_[1609];
+ vX_[3165] = 0 - vX_[3152] - vX_[3164];
+ vX_[3166] = vX_[3151] * vX_[1605];
+ vX_[3167] = 0 - vX_[3122];
+ vX_[3168] = 0 - vX_[3133];
+ vX_[3169] = 0 - vX_[3135];
+ vX_[3170] = 0 - vX_[3137];
+ vX_[3171] = 0 - vX_[3139];
+ vX_[3172] = 0 - vX_[3141];
+ vX_[3173] = 0 - vX_[3162];
+ vX_[3174] = vX_[3167] * vX_[354] + vX_[3168] * vX_[1426] + vX_[3169] * vX_[1430] + vX_[3170] * vX_[1631] +
+ vX_[3171] * vX_[1639] + vX_[3172] * vX_[1647] + vX_[3173] * vX_[1435] + vX_[3149] * vX_[1596];
+ vX_[3175] = vX_[3174] * vX_[1574];
+ vX_[3176] = vX_[3166] + vX_[3175];
+ vX_[3177] = vX_[3163] * vX_[1605];
+ vX_[3178] = vX_[3174] * vX_[1609];
+ vX_[3179] = vX_[3177] + vX_[3178];
+ vX_[3180] = vX_[3163] * vX_[1574];
+ vX_[3181] = vX_[3151] * vX_[1609];
+ vX_[3182] = vX_[3180] - vX_[3181];
+ vX_[3165] = vX_[3165] * vX_[1624] +
+ (vX_[3165] * vX_[1623] + vX_[3176] * vX_[1654] + vX_[3179] * vX_[1658] + vX_[3182] * vX_[1662]) * 2.;
+ vX_[3178] = 0 - vX_[3177] + vX_[3178];
+ vX_[3175] = vX_[3166] - vX_[3175];
+ vX_[3182] = vX_[3182] * vX_[1624] + vX_[3178] * vX_[1655] + vX_[3175] * vX_[1519];
+ vX_[3166] = 0 - vX_[3182];
+ vX_[3177] = vX_[3165] * vX_[1622] + vX_[3166] * vX_[1618];
+ vX_[3183] = vX_[3174] * vX_[1605];
+ vX_[3164] = 0 - vX_[3183] - vX_[3164];
+ vX_[3181] = vX_[3180] + vX_[3181];
+ vX_[3164] = vX_[3176] * vX_[1624] + vX_[3164] * vX_[1655] +
+ (vX_[3164] * vX_[1654] + vX_[3181] * vX_[1658] + vX_[3178] * vX_[1662]) * 2.;
+ vX_[3178] = 0 - vX_[3164];
+ vX_[3183] = 0 - vX_[3183] - vX_[3152];
+ vX_[3183] = vX_[3179] * vX_[1624] + vX_[3181] * vX_[1655] + vX_[3183] * vX_[1519] +
+ (vX_[3183] * vX_[1658] + vX_[3175] * vX_[1662]) * 2.;
+ vX_[3181] = vX_[3178] * vX_[1618] + vX_[3183] * vX_[1622];
+ vX_[3175] = vX_[3164] * vX_[1622] + vX_[3183] * vX_[1618];
+ vX_[3179] = vX_[3165] * vX_[1618] + vX_[3182] * vX_[1622];
+ vX_[3152] = vX_[2941] * vX_[473] + vX_[2943] * vX_[1651] + vX_[2950] * vX_[488] + vX_[2955] * vX_[486] +
+ vX_[2961] * vX_[1659];
+ vX_[3176] = vX_[2961] * -1;
+ vX_[3180] = vX_[2948] * -1 + vX_[2950] * 0.207;
+ vX_[3184] = vX_[3180] * 1 / vX_[470];
+ vX_[3185] = vX_[3152] * 1 / vX_[470];
+ vX_[3186] = vX_[2941] * vX_[1671] + vX_[2943] * vX_[1672] + vX_[2950] * vX_[1673] + vX_[2955] * vX_[1674] +
+ vX_[2961] * vX_[392];
+ vX_[3187] = vX_[3186] * 1 / vX_[470];
+ vX_[3188] = vX_[3176] * 1 / vX_[470];
+ vX_[3189] = vX_[2950] * vX_[473] + vX_[2955] * vX_[487];
+ vX_[3190] = vX_[3189] * 1 / vX_[470];
+ vX_[3191] = vX_[2950] * vX_[487] + vX_[2955] * vX_[485];
+ vX_[3192] = vX_[3191] * 1 / vX_[470];
+ vX_[3176] = vX_[3176] - (vX_[3184] * vX_[482] + vX_[3185] * vX_[444] + vX_[3187] * vX_[434] + vX_[3188] * vX_[470] +
+ vX_[3190] * vX_[496] + vX_[3192] * vX_[505]);
+ vX_[3193] = vX_[3152] * -1 + vX_[3176] * -0.08;
+ vX_[3194] = vX_[3176] * vX_[421] + vX_[3191] * vX_[433];
+ vX_[3195] = vX_[3193] + vX_[3194] * -0.35;
+ vX_[3196] = 0 - vX_[3195];
+ vX_[3197] = vX_[3180] * vX_[421] + vX_[3186] * vX_[1686] + vX_[3189] * vX_[1687];
+ vX_[3198] = vX_[3180] * vX_[394] + vX_[3186] * vX_[421] + vX_[3189] * vX_[439];
+ vX_[3199] = vX_[3189] * -1;
+ vX_[3200] = vX_[3197] * 1 / vX_[418];
+ vX_[3201] = vX_[3198] * 1 / vX_[418];
+ vX_[3202] = vX_[3199] * 1 / vX_[418];
+ vX_[3203] = vX_[3194] * 1 / vX_[418];
+ vX_[3204] = vX_[3176] * vX_[394] + vX_[3191] * vX_[421];
+ vX_[3205] = vX_[3204] * 1 / vX_[418];
+ vX_[3199] = vX_[3199] - (vX_[3200] * vX_[428] + vX_[3201] * vX_[416] + vX_[3202] * vX_[418] + vX_[3203] * vX_[424] +
+ vX_[3205] * vX_[406]);
+ vX_[3206] = vX_[3197] * vX_[395] + vX_[3198] * vX_[1690] + vX_[3199] * vX_[1698];
+ vX_[3207] = 0 - vX_[3206];
+ vX_[3208] = vX_[3197] * vX_[397] + vX_[3198] * vX_[395] + vX_[3199] * vX_[400];
+ vX_[3209] = 0 - vX_[3208];
+ vX_[3210] = vX_[3199] - (vX_[3206] * 38.1956380581338 * 0.1104774 + vX_[3208] * 38.1956380581338 * -0.0004405 +
+ vX_[3199] * 38.1956380581338 * 0.026181);
+ vX_[3211] = 0 - vX_[3210];
+ vX_[3212] = vX_[3194] * vX_[395] + vX_[3204] * vX_[398];
+ vX_[3213] = 0 - vX_[3212];
+ vX_[3214] = vX_[3194] * vX_[397] + vX_[3204] * vX_[395];
+ vX_[3215] = 0 - vX_[3214];
+ vX_[3216] = 0 - vX_[3210];
+ vX_[3217] = 0 - vX_[3212];
+ vX_[3218] = 0 - vX_[3214];
+ vX_[3219] = vX_[3216] * vX_[1734] + vX_[3217] * vX_[1739] + vX_[3218] * vX_[1743];
+ vX_[3220] = 0 - vX_[3212];
+ vX_[3221] = 0 - vX_[3214];
+ vX_[3222] = vX_[3220] * vX_[1749] + vX_[3221] * vX_[1753];
+ vX_[3223] = 0 - vX_[3222];
+ vX_[3224] = vX_[3196] * vX_[391] + vX_[3207] * vX_[1705] + vX_[3209] * vX_[1710] + vX_[3211] * vX_[1714] +
+ vX_[3213] * vX_[1723] + vX_[3215] * vX_[1732] + vX_[3219] * vX_[1747] + vX_[3223] * vX_[1761];
+ vX_[3225] = vX_[3224] * vX_[1887];
+ vX_[3226] = 0 - vX_[3206];
+ vX_[3227] = 0 - vX_[3208];
+ vX_[3228] = 0 - vX_[3210];
+ vX_[3229] = 0 - vX_[3212];
+ vX_[3230] = 0 - vX_[3214];
+ vX_[3231] = 0 - vX_[3219];
+ vX_[3232] = 0 - vX_[3210];
+ vX_[3233] = 0 - vX_[3212];
+ vX_[3234] = 0 - vX_[3214];
+ vX_[3235] = vX_[3232] * vX_[391] + vX_[3233] * vX_[1704] + vX_[3234] * vX_[1708];
+ vX_[3236] = vX_[3226] * vX_[1749] + vX_[3227] * vX_[1752] + vX_[3228] * vX_[1893] + vX_[3229] * vX_[1899] +
+ vX_[3230] * vX_[1904] + vX_[3231] * vX_[1911] + vX_[3235] * vX_[1761];
+ vX_[3237] = vX_[3236] * vX_[1923];
+ vX_[3238] = 0 - vX_[3225] - vX_[3237];
+ vX_[3239] = vX_[3224] * vX_[1919];
+ vX_[3240] = 0 - vX_[3195];
+ vX_[3241] = 0 - vX_[3206];
+ vX_[3242] = 0 - vX_[3208];
+ vX_[3243] = 0 - vX_[3210];
+ vX_[3244] = 0 - vX_[3212];
+ vX_[3245] = 0 - vX_[3214];
+ vX_[3246] = 0 - vX_[3235];
+ vX_[3247] = vX_[3240] * vX_[1940] + vX_[3241] * vX_[1737] + vX_[3242] * vX_[1742] + vX_[3243] * vX_[1947] +
+ vX_[3244] * vX_[1955] + vX_[3245] * vX_[1963] + vX_[3246] * vX_[1747] + vX_[3222] * vX_[1911];
+ vX_[3248] = vX_[3247] * vX_[1887];
+ vX_[3249] = vX_[3239] + vX_[3248];
+ vX_[3250] = vX_[3236] * vX_[1919];
+ vX_[3251] = vX_[3247] * vX_[1923];
+ vX_[3252] = vX_[3250] + vX_[3251];
+ vX_[3253] = vX_[3236] * vX_[1887];
+ vX_[3254] = vX_[3224] * vX_[1923];
+ vX_[3255] = vX_[3253] - vX_[3254];
+ vX_[3238] = vX_[3238] * vX_[1938] +
+ (vX_[3238] * vX_[1937] + vX_[3249] * vX_[1970] + vX_[3252] * vX_[1974] + vX_[3255] * vX_[1978]) * 2.;
+ vX_[3251] = 0 - vX_[3250] + vX_[3251];
+ vX_[3248] = vX_[3239] - vX_[3248];
+ vX_[3255] = vX_[3255] * vX_[1938] + vX_[3251] * vX_[1971] + vX_[3248] * vX_[1829];
+ vX_[3239] = 0 - vX_[3255];
+ vX_[3250] = vX_[3238] * vX_[1936] + vX_[3239] * vX_[1932];
+ vX_[3256] = vX_[3247] * vX_[1919];
+ vX_[3237] = 0 - vX_[3256] - vX_[3237];
+ vX_[3254] = vX_[3253] + vX_[3254];
+ vX_[3237] = vX_[3249] * vX_[1938] + vX_[3237] * vX_[1971] +
+ (vX_[3237] * vX_[1970] + vX_[3254] * vX_[1974] + vX_[3251] * vX_[1978]) * 2.;
+ vX_[3251] = 0 - vX_[3237];
+ vX_[3256] = 0 - vX_[3256] - vX_[3225];
+ vX_[3256] = vX_[3252] * vX_[1938] + vX_[3254] * vX_[1971] + vX_[3256] * vX_[1829] +
+ (vX_[3256] * vX_[1974] + vX_[3248] * vX_[1978]) * 2.;
+ vX_[3254] = vX_[3251] * vX_[1932] + vX_[3256] * vX_[1936];
+ vX_[3248] = vX_[3237] * vX_[1936] + vX_[3256] * vX_[1932];
+ vX_[3252] = vX_[3238] * vX_[1932] + vX_[3255] * vX_[1936];
+ vX_[3225] = vX_[3028] * vX_[1982] + vX_[3005] * vX_[1985] + vX_[3017] * vX_[1988];
+ vX_[3249] = vX_[3225] * vX_[950] * -1000.;
+ vX_[3253] = vX_[3249] * vX_[872];
+ vX_[3257] = vX_[3028] * vX_[1994] + vX_[3005] * vX_[1987] + vX_[3017] * vX_[1983];
+ vX_[3258] = vX_[3257] * vX_[950] * -1000.;
+ vX_[3259] = vX_[3258] * vX_[891];
+ vX_[3260] = 0 - vX_[3253] - vX_[3259];
+ vX_[3028] = vX_[3028] * vX_[1986] + vX_[3005] * vX_[1975] + vX_[3017] * vX_[1993];
+ vX_[3017] = vX_[3028] * vX_[950] * -1000.;
+ vX_[3005] = vX_[3017] * vX_[872];
+ vX_[3261] = vX_[3249] * vX_[909];
+ vX_[3262] = vX_[3005] + vX_[3261];
+ vX_[3263] = vX_[3017] * vX_[891];
+ vX_[3264] = vX_[3258] * vX_[909];
+ vX_[3265] = vX_[3263] + vX_[3264];
+ vX_[3266] = vX_[3249] * vX_[891];
+ vX_[3267] = vX_[3258] * vX_[872];
+ vX_[3268] = vX_[3266] - vX_[3267];
+ vX_[3260] = vX_[3260] * vX_[838] +
+ (vX_[3260] * vX_[837] + vX_[3262] * vX_[873] + vX_[3265] * vX_[842] + vX_[3268] * vX_[876]) * 2.;
+ vX_[3264] = 0 - vX_[3263] + vX_[3264];
+ vX_[3261] = vX_[3005] - vX_[3261];
+ vX_[3268] = vX_[3268] * vX_[838] + vX_[3264] * vX_[874] + vX_[3261] * vX_[843];
+ vX_[3005] = 0 - vX_[3268];
+ vX_[3263] = vX_[3260] * vX_[836] + vX_[3005] * vX_[832];
+ vX_[3269] = vX_[3017] * vX_[909];
+ vX_[3259] = 0 - vX_[3269] - vX_[3259];
+ vX_[3267] = vX_[3266] + vX_[3267];
+ vX_[3259] = vX_[3262] * vX_[838] + vX_[3259] * vX_[874] +
+ (vX_[3259] * vX_[873] + vX_[3267] * vX_[842] + vX_[3264] * vX_[876]) * 2.;
+ vX_[3264] = 0 - vX_[3259];
+ vX_[3269] = 0 - vX_[3269] - vX_[3253];
+ vX_[3269] = vX_[3265] * vX_[838] + vX_[3267] * vX_[874] + vX_[3269] * vX_[843] +
+ (vX_[3269] * vX_[842] + vX_[3261] * vX_[876]) * 2.;
+ vX_[3267] = vX_[3264] * vX_[832] + vX_[3269] * vX_[836];
+ vX_[3261] = vX_[3259] * vX_[836] + vX_[3269] * vX_[832];
+ vX_[3265] = vX_[3260] * vX_[832] + vX_[3268] * vX_[836];
+ vX_[3028] = vX_[3028] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[3028] * vX_[844] + vX_[3225] * vX_[910] + vX_[3257] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[3257] = vX_[3028] * vX_[935];
+ vX_[3225] = vX_[3028] * vX_[939];
+ vX_[3253] = (vX_[3257] * vX_[925] + vX_[3225] * vX_[926]) * 2.;
+ vX_[3262] = 0 - vX_[3225];
+ vX_[3266] = vX_[3262] * vX_[936] + vX_[3257] * vX_[927];
+ vX_[3270] = 0 - vX_[3266];
+ vX_[3271] = vX_[3253] * vX_[921] + vX_[3270] * vX_[917];
+ vX_[3272] = vX_[3028] * vX_[946];
+ vX_[3273] = 0 - vX_[3272];
+ vX_[3273] = vX_[3257] * vX_[922] + vX_[3273] * vX_[936] + (vX_[3273] * vX_[925] + vX_[3262] * vX_[928]) * 2.;
+ vX_[3262] = 0 - vX_[3273];
+ vX_[3272] = 0 - vX_[3272];
+ vX_[3272] = vX_[3225] * vX_[922] + vX_[3272] * vX_[927] + (vX_[3272] * vX_[926] + vX_[3257] * vX_[928]) * 2.;
+ vX_[3225] = vX_[3262] * vX_[917] + vX_[3272] * vX_[921];
+ vX_[3257] = vX_[3273] * vX_[921] + vX_[3272] * vX_[917];
+ vX_[3274] = vX_[3253] * vX_[917] + vX_[3266] * vX_[921];
+ vX_[3275] = vX_[3101] * vX_[2014] + vX_[3078] * vX_[2017] + vX_[3090] * vX_[2020];
+ vX_[3276] = vX_[3275] * vX_[1261] * -1000.;
+ vX_[3277] = vX_[3276] * vX_[1189];
+ vX_[3278] = vX_[3101] * vX_[2026] + vX_[3078] * vX_[2019] + vX_[3090] * vX_[2015];
+ vX_[3279] = vX_[3278] * vX_[1261] * -1000.;
+ vX_[3280] = vX_[3279] * vX_[1207];
+ vX_[3281] = 0 - vX_[3277] - vX_[3280];
+ vX_[3101] = vX_[3101] * vX_[2018] + vX_[3078] * vX_[2013] + vX_[3090] * vX_[2025];
+ vX_[3090] = vX_[3101] * vX_[1261] * -1000.;
+ vX_[3078] = vX_[3090] * vX_[1189];
+ vX_[3282] = vX_[3276] * vX_[1226];
+ vX_[3283] = vX_[3078] + vX_[3282];
+ vX_[3284] = vX_[3090] * vX_[1207];
+ vX_[3285] = vX_[3279] * vX_[1226];
+ vX_[3286] = vX_[3284] + vX_[3285];
+ vX_[3287] = vX_[3276] * vX_[1207];
+ vX_[3288] = vX_[3279] * vX_[1189];
+ vX_[3289] = vX_[3287] - vX_[3288];
+ vX_[3281] = vX_[3281] * vX_[1152] +
+ (vX_[3281] * vX_[1151] + vX_[3283] * vX_[1190] + vX_[3286] * vX_[1156] + vX_[3289] * vX_[1193]) * 2.;
+ vX_[3285] = 0 - vX_[3284] + vX_[3285];
+ vX_[3282] = vX_[3078] - vX_[3282];
+ vX_[3289] = vX_[3289] * vX_[1152] + vX_[3285] * vX_[1191] + vX_[3282] * vX_[1157];
+ vX_[3078] = 0 - vX_[3289];
+ vX_[3284] = vX_[3281] * vX_[1150] + vX_[3078] * vX_[1146];
+ vX_[3290] = vX_[3090] * vX_[1226];
+ vX_[3280] = 0 - vX_[3290] - vX_[3280];
+ vX_[3288] = vX_[3287] + vX_[3288];
+ vX_[3280] = vX_[3283] * vX_[1152] + vX_[3280] * vX_[1191] +
+ (vX_[3280] * vX_[1190] + vX_[3288] * vX_[1156] + vX_[3285] * vX_[1193]) * 2.;
+ vX_[3285] = 0 - vX_[3280];
+ vX_[3290] = 0 - vX_[3290] - vX_[3277];
+ vX_[3290] = vX_[3286] * vX_[1152] + vX_[3288] * vX_[1191] + vX_[3290] * vX_[1157] +
+ (vX_[3290] * vX_[1156] + vX_[3282] * vX_[1193]) * 2.;
+ vX_[3288] = vX_[3285] * vX_[1146] + vX_[3290] * vX_[1150];
+ vX_[3282] = vX_[3280] * vX_[1150] + vX_[3290] * vX_[1146];
+ vX_[3286] = vX_[3281] * vX_[1146] + vX_[3289] * vX_[1150];
+ vX_[3101] =
+ vX_[3101] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[3101] * vX_[1158] + vX_[3275] * vX_[1227] + vX_[3278] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[3278] = vX_[3101] * vX_[1250];
+ vX_[3275] = vX_[3101] * vX_[1181];
+ vX_[3277] = (vX_[3278] * vX_[1242] + vX_[3275] * vX_[1243]) * 2.;
+ vX_[3283] = 0 - vX_[3275];
+ vX_[3287] = vX_[3283] * vX_[1251] + vX_[3278] * vX_[1244];
+ vX_[3291] = 0 - vX_[3287];
+ vX_[3292] = vX_[3277] * vX_[1238] + vX_[3291] * vX_[1234];
+ vX_[3293] = vX_[3101] * vX_[1257];
+ vX_[3294] = 0 - vX_[3293];
+ vX_[3294] = vX_[3278] * vX_[1239] + vX_[3294] * vX_[1251] + (vX_[3294] * vX_[1242] + vX_[3283] * vX_[1245]) * 2.;
+ vX_[3283] = 0 - vX_[3294];
+ vX_[3293] = 0 - vX_[3293];
+ vX_[3293] = vX_[3275] * vX_[1239] + vX_[3293] * vX_[1244] + (vX_[3293] * vX_[1243] + vX_[3278] * vX_[1245]) * 2.;
+ vX_[3275] = vX_[3283] * vX_[1234] + vX_[3293] * vX_[1238];
+ vX_[3278] = vX_[3294] * vX_[1238] + vX_[3293] * vX_[1234];
+ vX_[3295] = vX_[3277] * vX_[1234] + vX_[3287] * vX_[1238];
+ vX_[3296] = vX_[3174] * vX_[2046] + vX_[3151] * vX_[2049] + vX_[3163] * vX_[2052];
+ vX_[3297] = vX_[3296] * vX_[1573] * -1000.;
+ vX_[3298] = vX_[3297] * vX_[1499];
+ vX_[3299] = vX_[3174] * vX_[2058] + vX_[3151] * vX_[2051] + vX_[3163] * vX_[2047];
+ vX_[3300] = vX_[3299] * vX_[1573] * -1000.;
+ vX_[3301] = vX_[3300] * vX_[1518];
+ vX_[3302] = 0 - vX_[3298] - vX_[3301];
+ vX_[3174] = vX_[3174] * vX_[2050] + vX_[3151] * vX_[2045] + vX_[3163] * vX_[2057];
+ vX_[3163] = vX_[3174] * vX_[1573] * -1000.;
+ vX_[3151] = vX_[3163] * vX_[1499];
+ vX_[3303] = vX_[3297] * vX_[1536];
+ vX_[3304] = vX_[3151] + vX_[3303];
+ vX_[3305] = vX_[3163] * vX_[1518];
+ vX_[3306] = vX_[3300] * vX_[1536];
+ vX_[3307] = vX_[3305] + vX_[3306];
+ vX_[3308] = vX_[3297] * vX_[1518];
+ vX_[3309] = vX_[3300] * vX_[1499];
+ vX_[3310] = vX_[3308] - vX_[3309];
+ vX_[3302] = vX_[3302] * vX_[1463] +
+ (vX_[3302] * vX_[1462] + vX_[3304] * vX_[1500] + vX_[3307] * vX_[1467] + vX_[3310] * vX_[1503]) * 2.;
+ vX_[3306] = 0 - vX_[3305] + vX_[3306];
+ vX_[3303] = vX_[3151] - vX_[3303];
+ vX_[3310] = vX_[3310] * vX_[1463] + vX_[3306] * vX_[1501] + vX_[3303] * vX_[1468];
+ vX_[3151] = 0 - vX_[3310];
+ vX_[3305] = vX_[3302] * vX_[1461] + vX_[3151] * vX_[1457];
+ vX_[3311] = vX_[3163] * vX_[1536];
+ vX_[3301] = 0 - vX_[3311] - vX_[3301];
+ vX_[3309] = vX_[3308] + vX_[3309];
+ vX_[3301] = vX_[3304] * vX_[1463] + vX_[3301] * vX_[1501] +
+ (vX_[3301] * vX_[1500] + vX_[3309] * vX_[1467] + vX_[3306] * vX_[1503]) * 2.;
+ vX_[3306] = 0 - vX_[3301];
+ vX_[3311] = 0 - vX_[3311] - vX_[3298];
+ vX_[3311] = vX_[3307] * vX_[1463] + vX_[3309] * vX_[1501] + vX_[3311] * vX_[1468] +
+ (vX_[3311] * vX_[1467] + vX_[3303] * vX_[1503]) * 2.;
+ vX_[3309] = vX_[3306] * vX_[1457] + vX_[3311] * vX_[1461];
+ vX_[3303] = vX_[3301] * vX_[1461] + vX_[3311] * vX_[1457];
+ vX_[3307] = vX_[3302] * vX_[1457] + vX_[3310] * vX_[1461];
+ vX_[3174] =
+ vX_[3174] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[3174] * vX_[1469] + vX_[3296] * vX_[1537] + vX_[3299] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[3299] = vX_[3174] * vX_[1560];
+ vX_[3296] = vX_[3174] * vX_[1491];
+ vX_[3298] = (vX_[3299] * vX_[1552] + vX_[3296] * vX_[1553]) * 2.;
+ vX_[3304] = 0 - vX_[3296];
+ vX_[3308] = vX_[3304] * vX_[1561] + vX_[3299] * vX_[1554];
+ vX_[3312] = 0 - vX_[3308];
+ vX_[3313] = vX_[3298] * vX_[1548] + vX_[3312] * vX_[1544];
+ vX_[3314] = vX_[3174] * vX_[1569];
+ vX_[3315] = 0 - vX_[3314];
+ vX_[3315] = vX_[3299] * vX_[1549] + vX_[3315] * vX_[1561] + (vX_[3315] * vX_[1552] + vX_[3304] * vX_[1555]) * 2.;
+ vX_[3304] = 0 - vX_[3315];
+ vX_[3314] = 0 - vX_[3314];
+ vX_[3314] = vX_[3296] * vX_[1549] + vX_[3314] * vX_[1554] + (vX_[3314] * vX_[1553] + vX_[3299] * vX_[1555]) * 2.;
+ vX_[3296] = vX_[3304] * vX_[1544] + vX_[3314] * vX_[1548];
+ vX_[3299] = vX_[3315] * vX_[1548] + vX_[3314] * vX_[1544];
+ vX_[3316] = vX_[3298] * vX_[1544] + vX_[3308] * vX_[1548];
+ vX_[3317] = vX_[3247] * vX_[2078] + vX_[3224] * vX_[2081] + vX_[3236] * vX_[2084];
+ vX_[3318] = vX_[3317] * vX_[1886] * -1000.;
+ vX_[3319] = vX_[3318] * vX_[1809];
+ vX_[3320] = vX_[3247] * vX_[2090] + vX_[3224] * vX_[2083] + vX_[3236] * vX_[2079];
+ vX_[3321] = vX_[3320] * vX_[1886] * -1000.;
+ vX_[3322] = vX_[3321] * vX_[1828];
+ vX_[3323] = 0 - vX_[3319] - vX_[3322];
+ vX_[3247] = vX_[3247] * vX_[2082] + vX_[3224] * vX_[2077] + vX_[3236] * vX_[2089];
+ vX_[3236] = vX_[3247] * vX_[1886] * -1000.;
+ vX_[3224] = vX_[3236] * vX_[1809];
+ vX_[3324] = vX_[3318] * vX_[1846];
+ vX_[3325] = vX_[3224] + vX_[3324];
+ vX_[3326] = vX_[3236] * vX_[1828];
+ vX_[3327] = vX_[3321] * vX_[1846];
+ vX_[3328] = vX_[3326] + vX_[3327];
+ vX_[3329] = vX_[3318] * vX_[1828];
+ vX_[3330] = vX_[3321] * vX_[1809];
+ vX_[3331] = vX_[3329] - vX_[3330];
+ vX_[3323] = vX_[3323] * vX_[1775] +
+ (vX_[3323] * vX_[1774] + vX_[3325] * vX_[1810] + vX_[3328] * vX_[1779] + vX_[3331] * vX_[1813]) * 2.;
+ vX_[3327] = 0 - vX_[3326] + vX_[3327];
+ vX_[3324] = vX_[3224] - vX_[3324];
+ vX_[3331] = vX_[3331] * vX_[1775] + vX_[3327] * vX_[1811] + vX_[3324] * vX_[1780];
+ vX_[3224] = 0 - vX_[3331];
+ vX_[3326] = vX_[3323] * vX_[1773] + vX_[3224] * vX_[1769];
+ vX_[3332] = vX_[3236] * vX_[1846];
+ vX_[3322] = 0 - vX_[3332] - vX_[3322];
+ vX_[3330] = vX_[3329] + vX_[3330];
+ vX_[3322] = vX_[3325] * vX_[1775] + vX_[3322] * vX_[1811] +
+ (vX_[3322] * vX_[1810] + vX_[3330] * vX_[1779] + vX_[3327] * vX_[1813]) * 2.;
+ vX_[3327] = 0 - vX_[3322];
+ vX_[3332] = 0 - vX_[3332] - vX_[3319];
+ vX_[3332] = vX_[3328] * vX_[1775] + vX_[3330] * vX_[1811] + vX_[3332] * vX_[1780] +
+ (vX_[3332] * vX_[1779] + vX_[3324] * vX_[1813]) * 2.;
+ vX_[3330] = vX_[3327] * vX_[1769] + vX_[3332] * vX_[1773];
+ vX_[3324] = vX_[3322] * vX_[1773] + vX_[3332] * vX_[1769];
+ vX_[3328] = vX_[3323] * vX_[1769] + vX_[3331] * vX_[1773];
+ vX_[3247] =
+ vX_[3247] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[3247] * vX_[1781] + vX_[3317] * vX_[1847] + vX_[3320] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[201] = vX_[3028] + vX_[3101] + vX_[3174] + vX_[3247];
+ vX_[3320] = vX_[3247] * vX_[1870];
+ vX_[3317] = vX_[3247] * vX_[1875];
+ vX_[3319] = (vX_[3320] * vX_[1862] + vX_[3317] * vX_[1863]) * 2.;
+ vX_[3325] = 0 - vX_[3317];
+ vX_[3329] = vX_[3325] * vX_[1871] + vX_[3320] * vX_[1864];
+ vX_[3333] = 0 - vX_[3329];
+ vX_[3334] = vX_[3319] * vX_[1858] + vX_[3333] * vX_[1854];
+ vX_[3335] = vX_[3247] * vX_[1882];
+ vX_[3336] = 0 - vX_[3335];
+ vX_[3336] = vX_[3320] * vX_[1859] + vX_[3336] * vX_[1871] + (vX_[3336] * vX_[1862] + vX_[3325] * vX_[1865]) * 2.;
+ vX_[3325] = 0 - vX_[3336];
+ vX_[3335] = 0 - vX_[3335];
+ vX_[3335] = vX_[3317] * vX_[1859] + vX_[3335] * vX_[1864] + (vX_[3335] * vX_[1863] + vX_[3320] * vX_[1865]) * 2.;
+ vX_[3317] = vX_[3325] * vX_[1854] + vX_[3335] * vX_[1858];
+ vX_[3320] = vX_[3336] * vX_[1858] + vX_[3335] * vX_[1854];
+ vX_[3337] = vX_[3319] * vX_[1854] + vX_[3329] * vX_[1858];
+ jac[21] = ((vX_[2928] * vX_[2919] + vX_[2936] * vX_[2914]) * vX_[2937] -
+ (vX_[2938] * vX_[2919] + vX_[2939] * vX_[2914]) * vX_[2911]) *
+ 0.5 +
+ ((vX_[3031] * vX_[999] + vX_[3035] * vX_[994]) * vX_[1029] -
+ (vX_[3029] * vX_[999] + vX_[3033] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[3104] * vX_[1308] + vX_[3108] * vX_[1303]) * vX_[1340] -
+ (vX_[3102] * vX_[1308] + vX_[3106] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[3177] * vX_[1620] + vX_[3181] * vX_[1615]) * vX_[1650] -
+ (vX_[3175] * vX_[1620] + vX_[3179] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[3250] * vX_[1934] + vX_[3254] * vX_[1929]) * vX_[1966] -
+ (vX_[3248] * vX_[1934] + vX_[3252] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[3263] * vX_[834] + vX_[3267] * vX_[829]) * vX_[1992] -
+ (vX_[3261] * vX_[834] + vX_[3265] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[3271] * vX_[919] + vX_[3225] * vX_[914]) * vX_[1995] -
+ (vX_[3257] * vX_[919] + vX_[3274] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[3284] * vX_[1148] + vX_[3288] * vX_[1143]) * vX_[2024] -
+ (vX_[3282] * vX_[1148] + vX_[3286] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[3292] * vX_[1236] + vX_[3275] * vX_[1231]) * vX_[2027] -
+ (vX_[3278] * vX_[1236] + vX_[3295] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[3305] * vX_[1459] + vX_[3309] * vX_[1454]) * vX_[2056] -
+ (vX_[3303] * vX_[1459] + vX_[3307] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[3313] * vX_[1546] + vX_[3296] * vX_[1541]) * vX_[2059] -
+ (vX_[3299] * vX_[1546] + vX_[3316] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[3326] * vX_[1771] + vX_[3330] * vX_[1766]) * vX_[2088] -
+ (vX_[3324] * vX_[1771] + vX_[3328] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[3334] * vX_[1856] + vX_[3317] * vX_[1851]) * vX_[2091] -
+ (vX_[3320] * vX_[1856] + vX_[3337] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[3338] = -9.81 * vX_[2924] * 2.;
+ vX_[3339] = 2. * vX_[2922];
+ vX_[3340] = -9.81 * vX_[3339];
+ vX_[3341] = 0 - vX_[3340];
+ vX_[3342] = vX_[3338] * vX_[2917] + vX_[3341] * vX_[2921];
+ vX_[2934] = -9.81 * vX_[2934];
+ vX_[3343] = 0 - vX_[2934];
+ vX_[2931] = -9.81 * vX_[2931] * 2.;
+ vX_[3344] = vX_[3343] * vX_[2921] + vX_[2931] * vX_[2917];
+ vX_[3345] = vX_[2934] * vX_[2917] + vX_[2931] * vX_[2921];
+ vX_[3346] = vX_[3338] * vX_[2921] + vX_[3340] * vX_[2917];
+ vX_[3347] = vX_[712] * 1 / vX_[720];
+ vX_[3348] = 0 - vX_[3347];
+ vX_[3349] = (-1 + vX_[3348] * vX_[743]) * 1 / vX_[718];
+ vX_[3350] = 0 - vX_[3347];
+ vX_[3351] = 0 - vX_[3349];
+ vX_[3352] = 0 - vX_[3347];
+ vX_[3353] = 0 - vX_[3349];
+ vX_[3354] = (vX_[3352] * vX_[689] + vX_[3353] * vX_[736]) * 1 / vX_[721];
+ vX_[3355] = 0 - vX_[3354];
+ vX_[3356] = (vX_[3350] * vX_[682] + vX_[3351] * vX_[730] + vX_[3355] * vX_[509]) * 1 / vX_[618];
+ vX_[3357] = 0 - vX_[3347];
+ vX_[3358] = 0 - vX_[3349];
+ vX_[3359] = 0 - vX_[3354];
+ vX_[3360] = 0 - vX_[3356];
+ vX_[3361] =
+ (vX_[3357] * vX_[662] + vX_[3358] * vX_[633] + vX_[3359] * vX_[691] + vX_[3360] * vX_[667]) * 1 / vX_[616];
+ vX_[3362] = 0 - vX_[3347];
+ vX_[3363] = 0 - vX_[3349];
+ vX_[3364] = 0 - vX_[3354];
+ vX_[3365] = 0 - vX_[3356];
+ vX_[3366] = 0 - vX_[3361];
+ vX_[3367] = (vX_[3362] * vX_[510] + vX_[3363] * vX_[518] + vX_[3364] * vX_[690] + vX_[3365] * vX_[628] +
+ vX_[3366] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3368] =
+ vX_[3347] * vX_[126] + vX_[3349] * vX_[1] + vX_[3356] * vX_[140] + vX_[3361] * vX_[138] + vX_[3367] * vX_[706];
+ vX_[3369] = vX_[3354] + vX_[3356] * 0.207;
+ vX_[3370] = vX_[3369] * 1 / vX_[123];
+ vX_[3371] = vX_[3368] * 1 / vX_[123];
+ vX_[3372] =
+ vX_[3347] * vX_[729] + vX_[3349] * vX_[126] + vX_[3356] * vX_[728] + vX_[3361] * vX_[727] + vX_[3367] * vX_[27];
+ vX_[3373] = vX_[3372] * 1 / vX_[123];
+ vX_[3374] = vX_[3367] * 1 / vX_[123];
+ vX_[3375] = vX_[3356] * vX_[126] + vX_[3361] * vX_[1];
+ vX_[3376] = vX_[3375] * 1 / vX_[123];
+ vX_[3377] = vX_[3356] * vX_[139] + vX_[3361] * vX_[126];
+ vX_[3378] = vX_[3377] * 1 / vX_[123];
+ vX_[3379] = vX_[3367] - (vX_[3370] * vX_[135] + vX_[3371] * vX_[97] + vX_[3373] * vX_[88] + vX_[3374] * vX_[123] +
+ vX_[3376] * vX_[148] + vX_[3378] * vX_[157]);
+ vX_[3380] = vX_[3368] + vX_[3379] * 0.08;
+ vX_[3381] = vX_[3379] * vX_[76] + vX_[3377] * vX_[4];
+ vX_[3382] = vX_[3380] + vX_[3381] * -0.35;
+ vX_[3383] = 0 - vX_[3382];
+ vX_[3384] = vX_[3369] * vX_[750] + vX_[3372] * vX_[751] + vX_[3375] * vX_[752];
+ vX_[3385] = vX_[3369] * vX_[754] + vX_[3372] * vX_[75] + vX_[3375] * vX_[93];
+ vX_[3386] = vX_[3384] * 1 / vX_[72];
+ vX_[3387] = vX_[3385] * 1 / vX_[72];
+ vX_[3388] = vX_[3375] * 1 / vX_[72];
+ vX_[3389] = vX_[3381] * 1 / vX_[72];
+ vX_[3390] = vX_[3379] * vX_[4] + vX_[3377] * vX_[75];
+ vX_[3391] = vX_[3390] * 1 / vX_[72];
+ vX_[3392] = vX_[3375] - (vX_[3386] * vX_[83] + vX_[3387] * vX_[70] + vX_[3388] * vX_[72] + vX_[3389] * vX_[79] +
+ vX_[3391] * vX_[60]);
+ vX_[3393] = vX_[3384] * vX_[7] + vX_[3385] * vX_[756] + vX_[3392] * vX_[764];
+ vX_[3394] = 0 - vX_[3393];
+ vX_[3395] = vX_[3384] * vX_[51] + vX_[3385] * vX_[7] + vX_[3392] * vX_[54];
+ vX_[3396] = 0 - vX_[3395];
+ vX_[3397] = vX_[3392] - (vX_[3393] * 38.1956380581338 * 0.1104774 + vX_[3395] * 38.1956380581338 * 0.0004405 +
+ vX_[3392] * 38.1956380581338 * 0.026181);
+ vX_[3398] = 0 - vX_[3397];
+ vX_[3399] = vX_[3381] * vX_[7] + vX_[3390] * vX_[52];
+ vX_[3400] = 0 - vX_[3399];
+ vX_[3401] = vX_[3381] * vX_[51] + vX_[3390] * vX_[7];
+ vX_[3402] = 0 - vX_[3401];
+ vX_[3403] = 0 - vX_[3397];
+ vX_[3404] = 0 - vX_[3399];
+ vX_[3405] = 0 - vX_[3401];
+ vX_[3406] = vX_[3403] * vX_[126] + vX_[3404] * vX_[803] + vX_[3405] * vX_[806];
+ vX_[3407] = 0 - vX_[3399];
+ vX_[3408] = 0 - vX_[3401];
+ vX_[3409] = vX_[3407] * vX_[812] + vX_[3408] * vX_[816];
+ vX_[3410] = 0 - vX_[3409];
+ vX_[3411] = vX_[3383] * vX_[1] + vX_[3394] * vX_[771] + vX_[3396] * vX_[776] + vX_[3398] * vX_[780] +
+ vX_[3400] * vX_[789] + vX_[3402] * vX_[797] + vX_[3406] * vX_[810] + vX_[3410] * vX_[824];
+ vX_[3412] = vX_[3411] * vX_[951];
+ vX_[3413] = 0 - vX_[3393];
+ vX_[3414] = 0 - vX_[3395];
+ vX_[3415] = 0 - vX_[3397];
+ vX_[3416] = 0 - vX_[3399];
+ vX_[3417] = 0 - vX_[3401];
+ vX_[3418] = 0 - vX_[3406];
+ vX_[3419] = 0 - vX_[3397];
+ vX_[3420] = 0 - vX_[3399];
+ vX_[3421] = 0 - vX_[3401];
+ vX_[3422] = vX_[3419] * vX_[1] + vX_[3420] * vX_[770] + vX_[3421] * vX_[775];
+ vX_[3423] = vX_[3413] * vX_[812] + vX_[3414] * vX_[815] + vX_[3415] * vX_[957] + vX_[3416] * vX_[963] +
+ vX_[3417] * vX_[968] + vX_[3418] * vX_[975] + vX_[3422] * vX_[824];
+ vX_[3424] = vX_[3423] * vX_[988];
+ vX_[3425] = 0 - vX_[3412] - vX_[3424];
+ vX_[3426] = vX_[3411] * vX_[984];
+ vX_[3427] = 0 - vX_[3382];
+ vX_[3428] = 0 - vX_[3393];
+ vX_[3429] = 0 - vX_[3395];
+ vX_[3430] = 0 - vX_[3397];
+ vX_[3431] = 0 - vX_[3399];
+ vX_[3432] = 0 - vX_[3401];
+ vX_[3433] = 0 - vX_[3422];
+ vX_[3434] = vX_[3427] * vX_[126] + vX_[3428] * vX_[801] + vX_[3429] * vX_[805] + vX_[3430] * vX_[1010] +
+ vX_[3431] * vX_[1018] + vX_[3432] * vX_[1026] + vX_[3433] * vX_[810] + vX_[3409] * vX_[975];
+ vX_[3435] = vX_[3434] * vX_[951];
+ vX_[3436] = vX_[3426] + vX_[3435];
+ vX_[3437] = vX_[3423] * vX_[984];
+ vX_[3438] = vX_[3434] * vX_[988];
+ vX_[3439] = vX_[3437] + vX_[3438];
+ vX_[3440] = vX_[3423] * vX_[951];
+ vX_[3441] = vX_[3411] * vX_[988];
+ vX_[3442] = vX_[3440] - vX_[3441];
+ vX_[3425] = vX_[3425] * vX_[1003] +
+ (vX_[3425] * vX_[1002] + vX_[3436] * vX_[1033] + vX_[3439] * vX_[1037] + vX_[3442] * vX_[1041]) * 2.;
+ vX_[3438] = 0 - vX_[3437] + vX_[3438];
+ vX_[3435] = vX_[3426] - vX_[3435];
+ vX_[3442] = vX_[3442] * vX_[1003] + vX_[3438] * vX_[1034] + vX_[3435] * vX_[892];
+ vX_[3426] = 0 - vX_[3442];
+ vX_[3437] = vX_[3425] * vX_[1001] + vX_[3426] * vX_[997];
+ vX_[3443] = vX_[3434] * vX_[984];
+ vX_[3424] = 0 - vX_[3443] - vX_[3424];
+ vX_[3441] = vX_[3440] + vX_[3441];
+ vX_[3424] = vX_[3436] * vX_[1003] + vX_[3424] * vX_[1034] +
+ (vX_[3424] * vX_[1033] + vX_[3441] * vX_[1037] + vX_[3438] * vX_[1041]) * 2.;
+ vX_[3438] = 0 - vX_[3424];
+ vX_[3443] = 0 - vX_[3443] - vX_[3412];
+ vX_[3443] = vX_[3439] * vX_[1003] + vX_[3441] * vX_[1034] + vX_[3443] * vX_[892] +
+ (vX_[3443] * vX_[1037] + vX_[3435] * vX_[1041]) * 2.;
+ vX_[3441] = vX_[3438] * vX_[997] + vX_[3443] * vX_[1001];
+ vX_[3435] = vX_[3424] * vX_[1001] + vX_[3443] * vX_[997];
+ vX_[3439] = vX_[3425] * vX_[997] + vX_[3442] * vX_[1001];
+ vX_[3412] = vX_[3347] * vX_[235] + vX_[3349] * vX_[1030] + vX_[3356] * vX_[250] + vX_[3361] * vX_[248] +
+ vX_[3367] * vX_[1038];
+ vX_[3436] = vX_[3367] * -1;
+ vX_[3440] = vX_[3354] * -1 + vX_[3356] * 0.207;
+ vX_[3444] = vX_[3440] * 1 / vX_[232];
+ vX_[3445] = vX_[3412] * 1 / vX_[232];
+ vX_[3446] = vX_[3347] * vX_[1050] + vX_[3349] * vX_[1051] + vX_[3356] * vX_[1052] + vX_[3361] * vX_[1053] +
+ vX_[3367] * vX_[164];
+ vX_[3447] = vX_[3446] * 1 / vX_[232];
+ vX_[3448] = vX_[3436] * 1 / vX_[232];
+ vX_[3449] = vX_[3356] * vX_[235] + vX_[3361] * vX_[249];
+ vX_[3450] = vX_[3449] * 1 / vX_[232];
+ vX_[3451] = vX_[3356] * vX_[249] + vX_[3361] * vX_[247];
+ vX_[3452] = vX_[3451] * 1 / vX_[232];
+ vX_[3436] = vX_[3436] - (vX_[3444] * vX_[244] + vX_[3445] * vX_[206] + vX_[3447] * vX_[196] + vX_[3448] * vX_[232] +
+ vX_[3450] * vX_[258] + vX_[3452] * vX_[267]);
+ vX_[3453] = vX_[3412] * -1 + vX_[3436] * -0.08;
+ vX_[3454] = vX_[3436] * vX_[186] + vX_[3451] * vX_[195];
+ vX_[3455] = vX_[3453] + vX_[3454] * -0.35;
+ vX_[3456] = 0 - vX_[3455];
+ vX_[3457] = vX_[3440] * vX_[186] + vX_[3446] * vX_[1065] + vX_[3449] * vX_[1066];
+ vX_[3458] = vX_[3440] * vX_[166] + vX_[3446] * vX_[186] + vX_[3449] * vX_[201];
+ vX_[3459] = vX_[3449] * -1;
+ vX_[3460] = vX_[3457] * 1 / vX_[183];
+ vX_[3461] = vX_[3458] * 1 / vX_[183];
+ vX_[3462] = vX_[3459] * 1 / vX_[183];
+ vX_[3463] = vX_[3454] * 1 / vX_[183];
+ vX_[3464] = vX_[3436] * vX_[166] + vX_[3451] * vX_[186];
+ vX_[3465] = vX_[3464] * 1 / vX_[183];
+ vX_[3459] = vX_[3459] - (vX_[3460] * vX_[190] + vX_[3461] * vX_[181] + vX_[3462] * vX_[183] + vX_[3463] * 2.1e-05 +
+ vX_[3465] * -0.000102);
+ vX_[3466] = vX_[3457] * vX_[169] + vX_[3458] * vX_[1069] + vX_[3459] * vX_[1077];
+ vX_[3467] = 0 - vX_[3466];
+ vX_[3468] = vX_[3457] * vX_[167] + vX_[3458] * vX_[169] + vX_[3459] * vX_[168];
+ vX_[3469] = 0 - vX_[3468];
+ vX_[3470] = vX_[3459] - (vX_[3466] * 38.1956380581338 * 0.110125 + vX_[3468] * 38.1956380581338 * 0.000881 +
+ vX_[3459] * 38.1956380581338 * 0.026181);
+ vX_[3471] = 0 - vX_[3470];
+ vX_[3472] = vX_[3454] * vX_[169] + vX_[3464] * vX_[175];
+ vX_[3473] = 0 - vX_[3472];
+ vX_[3474] = vX_[3454] * vX_[167] + vX_[3464] * vX_[169];
+ vX_[3475] = 0 - vX_[3474];
+ vX_[3476] = 0 - vX_[3470];
+ vX_[3477] = 0 - vX_[3472];
+ vX_[3478] = 0 - vX_[3474];
+ vX_[3479] = vX_[3476] * vX_[1111] + vX_[3477] * vX_[1116] + vX_[3478] * vX_[1120];
+ vX_[3480] = 0 - vX_[3472];
+ vX_[3481] = 0 - vX_[3474];
+ vX_[3482] = vX_[3480] * vX_[1126] + vX_[3481] * vX_[1130];
+ vX_[3483] = 0 - vX_[3482];
+ vX_[3484] = vX_[3456] * vX_[163] + vX_[3467] * vX_[1083] + vX_[3469] * vX_[1088] + vX_[3471] * vX_[1092] +
+ vX_[3473] * vX_[1101] + vX_[3475] * vX_[1109] + vX_[3479] * vX_[1124] + vX_[3483] * vX_[1138];
+ vX_[3485] = vX_[3484] * vX_[1262];
+ vX_[3486] = 0 - vX_[3466];
+ vX_[3487] = 0 - vX_[3468];
+ vX_[3488] = 0 - vX_[3470];
+ vX_[3489] = 0 - vX_[3472];
+ vX_[3490] = 0 - vX_[3474];
+ vX_[3491] = 0 - vX_[3479];
+ vX_[3492] = 0 - vX_[3470];
+ vX_[3493] = 0 - vX_[3472];
+ vX_[3494] = 0 - vX_[3474];
+ vX_[3495] = vX_[3492] * vX_[163] + vX_[3493] * vX_[1082] + vX_[3494] * vX_[1086];
+ vX_[3496] = vX_[3486] * vX_[1126] + vX_[3487] * vX_[1129] + vX_[3488] * vX_[1268] + vX_[3489] * vX_[1274] +
+ vX_[3490] * vX_[1279] + vX_[3491] * vX_[1219] + vX_[3495] * vX_[1138];
+ vX_[3497] = vX_[3496] * vX_[1297];
+ vX_[3498] = 0 - vX_[3485] - vX_[3497];
+ vX_[3499] = vX_[3484] * vX_[1293];
+ vX_[3500] = 0 - vX_[3455];
+ vX_[3501] = 0 - vX_[3466];
+ vX_[3502] = 0 - vX_[3468];
+ vX_[3503] = 0 - vX_[3470];
+ vX_[3504] = 0 - vX_[3472];
+ vX_[3505] = 0 - vX_[3474];
+ vX_[3506] = 0 - vX_[3495];
+ vX_[3507] = vX_[3500] * vX_[1314] + vX_[3501] * vX_[1114] + vX_[3502] * vX_[1119] + vX_[3503] * vX_[1321] +
+ vX_[3504] * vX_[1329] + vX_[3505] * vX_[1337] + vX_[3506] * vX_[1124] + vX_[3482] * vX_[1219];
+ vX_[3508] = vX_[3507] * vX_[1262];
+ vX_[3509] = vX_[3499] + vX_[3508];
+ vX_[3510] = vX_[3496] * vX_[1293];
+ vX_[3511] = vX_[3507] * vX_[1297];
+ vX_[3512] = vX_[3510] + vX_[3511];
+ vX_[3513] = vX_[3496] * vX_[1262];
+ vX_[3514] = vX_[3484] * vX_[1297];
+ vX_[3515] = vX_[3513] - vX_[3514];
+ vX_[3498] = vX_[3498] * vX_[1312] +
+ (vX_[3498] * vX_[1311] + vX_[3509] * vX_[1344] + vX_[3512] * vX_[1348] + vX_[3515] * vX_[1352]) * 2.;
+ vX_[3511] = 0 - vX_[3510] + vX_[3511];
+ vX_[3508] = vX_[3499] - vX_[3508];
+ vX_[3515] = vX_[3515] * vX_[1312] + vX_[3511] * vX_[1345] + vX_[3508] * vX_[1208];
+ vX_[3499] = 0 - vX_[3515];
+ vX_[3510] = vX_[3498] * vX_[1310] + vX_[3499] * vX_[1306];
+ vX_[3516] = vX_[3507] * vX_[1293];
+ vX_[3497] = 0 - vX_[3516] - vX_[3497];
+ vX_[3514] = vX_[3513] + vX_[3514];
+ vX_[3497] = vX_[3509] * vX_[1312] + vX_[3497] * vX_[1345] +
+ (vX_[3497] * vX_[1344] + vX_[3514] * vX_[1348] + vX_[3511] * vX_[1352]) * 2.;
+ vX_[3511] = 0 - vX_[3497];
+ vX_[3516] = 0 - vX_[3516] - vX_[3485];
+ vX_[3516] = vX_[3512] * vX_[1312] + vX_[3514] * vX_[1345] + vX_[3516] * vX_[1208] +
+ (vX_[3516] * vX_[1348] + vX_[3508] * vX_[1352]) * 2.;
+ vX_[3514] = vX_[3511] * vX_[1306] + vX_[3516] * vX_[1310];
+ vX_[3508] = vX_[3497] * vX_[1310] + vX_[3516] * vX_[1306];
+ vX_[3512] = vX_[3498] * vX_[1306] + vX_[3515] * vX_[1310];
+ vX_[3485] = vX_[3347] * vX_[354] + vX_[3349] * vX_[273] + vX_[3356] * vX_[368] + vX_[3361] * vX_[366] +
+ vX_[3367] * vX_[1341];
+ vX_[3509] = vX_[3354] + vX_[3356] * 0.207;
+ vX_[3513] = vX_[3509] * 1 / vX_[351];
+ vX_[3517] = vX_[3485] * 1 / vX_[351];
+ vX_[3518] = vX_[3347] * vX_[1359] + vX_[3349] * vX_[354] + vX_[3356] * vX_[1360] + vX_[3361] * vX_[1361] +
+ vX_[3367] * vX_[274];
+ vX_[3519] = vX_[3518] * 1 / vX_[351];
+ vX_[3520] = vX_[3367] * 1 / vX_[351];
+ vX_[3521] = vX_[3356] * vX_[354] + vX_[3361] * vX_[273];
+ vX_[3522] = vX_[3521] * 1 / vX_[351];
+ vX_[3523] = vX_[3356] * vX_[367] + vX_[3361] * vX_[354];
+ vX_[3524] = vX_[3523] * 1 / vX_[351];
+ vX_[3525] = vX_[3367] - (vX_[3513] * vX_[363] + vX_[3517] * vX_[325] + vX_[3519] * vX_[316] + vX_[3520] * vX_[351] +
+ vX_[3522] * vX_[376] + vX_[3524] * vX_[385]);
+ vX_[3526] = vX_[3485] + vX_[3525] * 0.08;
+ vX_[3527] = vX_[3525] * vX_[304] + vX_[3523] * vX_[276];
+ vX_[3528] = vX_[3526] + vX_[3527] * -0.35;
+ vX_[3529] = 0 - vX_[3528];
+ vX_[3530] = vX_[3509] * vX_[1374] + vX_[3518] * vX_[1375] + vX_[3521] * vX_[1376];
+ vX_[3531] = vX_[3509] * vX_[1378] + vX_[3518] * vX_[303] + vX_[3521] * vX_[321];
+ vX_[3532] = vX_[3530] * 1 / vX_[300];
+ vX_[3533] = vX_[3531] * 1 / vX_[300];
+ vX_[3534] = vX_[3521] * 1 / vX_[300];
+ vX_[3535] = vX_[3527] * 1 / vX_[300];
+ vX_[3536] = vX_[3525] * vX_[276] + vX_[3523] * vX_[303];
+ vX_[3537] = vX_[3536] * 1 / vX_[300];
+ vX_[3538] = vX_[3521] - (vX_[3532] * vX_[311] + vX_[3533] * vX_[298] + vX_[3534] * vX_[300] + vX_[3535] * vX_[307] +
+ vX_[3537] * vX_[288]);
+ vX_[3539] = vX_[3530] * vX_[277] + vX_[3531] * vX_[1380] + vX_[3538] * vX_[1388];
+ vX_[3540] = 0 - vX_[3539];
+ vX_[3541] = vX_[3530] * vX_[279] + vX_[3531] * vX_[277] + vX_[3538] * vX_[282];
+ vX_[3542] = 0 - vX_[3541];
+ vX_[3543] = vX_[3538] - (vX_[3539] * 38.1956380581338 * 0.1104774 + vX_[3541] * 38.1956380581338 * -0.0004405 +
+ vX_[3538] * 38.1956380581338 * 0.026181);
+ vX_[3544] = 0 - vX_[3543];
+ vX_[3545] = vX_[3527] * vX_[277] + vX_[3536] * vX_[280];
+ vX_[3546] = 0 - vX_[3545];
+ vX_[3547] = vX_[3527] * vX_[279] + vX_[3536] * vX_[277];
+ vX_[3548] = 0 - vX_[3547];
+ vX_[3549] = 0 - vX_[3543];
+ vX_[3550] = 0 - vX_[3545];
+ vX_[3551] = 0 - vX_[3547];
+ vX_[3552] = vX_[3549] * vX_[354] + vX_[3550] * vX_[1428] + vX_[3551] * vX_[1431];
+ vX_[3553] = 0 - vX_[3545];
+ vX_[3554] = 0 - vX_[3547];
+ vX_[3555] = vX_[3553] * vX_[1437] + vX_[3554] * vX_[1441];
+ vX_[3556] = 0 - vX_[3555];
+ vX_[3557] = vX_[3529] * vX_[273] + vX_[3540] * vX_[1395] + vX_[3542] * vX_[1400] + vX_[3544] * vX_[1404] +
+ vX_[3546] * vX_[1413] + vX_[3548] * vX_[1422] + vX_[3552] * vX_[1435] + vX_[3556] * vX_[1449];
+ vX_[3558] = vX_[3557] * vX_[1574];
+ vX_[3559] = 0 - vX_[3539];
+ vX_[3560] = 0 - vX_[3541];
+ vX_[3561] = 0 - vX_[3543];
+ vX_[3562] = 0 - vX_[3545];
+ vX_[3563] = 0 - vX_[3547];
+ vX_[3564] = 0 - vX_[3552];
+ vX_[3565] = 0 - vX_[3543];
+ vX_[3566] = 0 - vX_[3545];
+ vX_[3567] = 0 - vX_[3547];
+ vX_[3568] = vX_[3565] * vX_[273] + vX_[3566] * vX_[1394] + vX_[3567] * vX_[1399];
+ vX_[3569] = vX_[3559] * vX_[1437] + vX_[3560] * vX_[1440] + vX_[3561] * vX_[1580] + vX_[3562] * vX_[1586] +
+ vX_[3563] * vX_[1591] + vX_[3564] * vX_[1596] + vX_[3568] * vX_[1449];
+ vX_[3570] = vX_[3569] * vX_[1609];
+ vX_[3571] = 0 - vX_[3558] - vX_[3570];
+ vX_[3572] = vX_[3557] * vX_[1605];
+ vX_[3573] = 0 - vX_[3528];
+ vX_[3574] = 0 - vX_[3539];
+ vX_[3575] = 0 - vX_[3541];
+ vX_[3576] = 0 - vX_[3543];
+ vX_[3577] = 0 - vX_[3545];
+ vX_[3578] = 0 - vX_[3547];
+ vX_[3579] = 0 - vX_[3568];
+ vX_[3580] = vX_[3573] * vX_[354] + vX_[3574] * vX_[1426] + vX_[3575] * vX_[1430] + vX_[3576] * vX_[1631] +
+ vX_[3577] * vX_[1639] + vX_[3578] * vX_[1647] + vX_[3579] * vX_[1435] + vX_[3555] * vX_[1596];
+ vX_[3581] = vX_[3580] * vX_[1574];
+ vX_[3582] = vX_[3572] + vX_[3581];
+ vX_[3583] = vX_[3569] * vX_[1605];
+ vX_[3584] = vX_[3580] * vX_[1609];
+ vX_[3585] = vX_[3583] + vX_[3584];
+ vX_[3586] = vX_[3569] * vX_[1574];
+ vX_[3587] = vX_[3557] * vX_[1609];
+ vX_[3588] = vX_[3586] - vX_[3587];
+ vX_[3571] = vX_[3571] * vX_[1624] +
+ (vX_[3571] * vX_[1623] + vX_[3582] * vX_[1654] + vX_[3585] * vX_[1658] + vX_[3588] * vX_[1662]) * 2.;
+ vX_[3584] = 0 - vX_[3583] + vX_[3584];
+ vX_[3581] = vX_[3572] - vX_[3581];
+ vX_[3588] = vX_[3588] * vX_[1624] + vX_[3584] * vX_[1655] + vX_[3581] * vX_[1519];
+ vX_[3572] = 0 - vX_[3588];
+ vX_[3583] = vX_[3571] * vX_[1622] + vX_[3572] * vX_[1618];
+ vX_[3589] = vX_[3580] * vX_[1605];
+ vX_[3570] = 0 - vX_[3589] - vX_[3570];
+ vX_[3587] = vX_[3586] + vX_[3587];
+ vX_[3570] = vX_[3582] * vX_[1624] + vX_[3570] * vX_[1655] +
+ (vX_[3570] * vX_[1654] + vX_[3587] * vX_[1658] + vX_[3584] * vX_[1662]) * 2.;
+ vX_[3584] = 0 - vX_[3570];
+ vX_[3589] = 0 - vX_[3589] - vX_[3558];
+ vX_[3589] = vX_[3585] * vX_[1624] + vX_[3587] * vX_[1655] + vX_[3589] * vX_[1519] +
+ (vX_[3589] * vX_[1658] + vX_[3581] * vX_[1662]) * 2.;
+ vX_[3587] = vX_[3584] * vX_[1618] + vX_[3589] * vX_[1622];
+ vX_[3581] = vX_[3570] * vX_[1622] + vX_[3589] * vX_[1618];
+ vX_[3585] = vX_[3571] * vX_[1618] + vX_[3588] * vX_[1622];
+ vX_[3558] = vX_[3347] * vX_[473] + vX_[3349] * vX_[1651] + vX_[3356] * vX_[488] + vX_[3361] * vX_[486] +
+ vX_[3367] * vX_[1659];
+ vX_[3582] = vX_[3367] * -1;
+ vX_[3586] = vX_[3354] * -1 + vX_[3356] * 0.207;
+ vX_[3590] = vX_[3586] * 1 / vX_[470];
+ vX_[3591] = vX_[3558] * 1 / vX_[470];
+ vX_[3592] = vX_[3347] * vX_[1671] + vX_[3349] * vX_[1672] + vX_[3356] * vX_[1673] + vX_[3361] * vX_[1674] +
+ vX_[3367] * vX_[392];
+ vX_[3593] = vX_[3592] * 1 / vX_[470];
+ vX_[3594] = vX_[3582] * 1 / vX_[470];
+ vX_[3595] = vX_[3356] * vX_[473] + vX_[3361] * vX_[487];
+ vX_[3596] = vX_[3595] * 1 / vX_[470];
+ vX_[3597] = vX_[3356] * vX_[487] + vX_[3361] * vX_[485];
+ vX_[3598] = vX_[3597] * 1 / vX_[470];
+ vX_[3582] = vX_[3582] - (vX_[3590] * vX_[482] + vX_[3591] * vX_[444] + vX_[3593] * vX_[434] + vX_[3594] * vX_[470] +
+ vX_[3596] * vX_[496] + vX_[3598] * vX_[505]);
+ vX_[3599] = vX_[3558] * -1 + vX_[3582] * -0.08;
+ vX_[3600] = vX_[3582] * vX_[421] + vX_[3597] * vX_[433];
+ vX_[3601] = vX_[3599] + vX_[3600] * -0.35;
+ vX_[3602] = 0 - vX_[3601];
+ vX_[3603] = vX_[3586] * vX_[421] + vX_[3592] * vX_[1686] + vX_[3595] * vX_[1687];
+ vX_[3604] = vX_[3586] * vX_[394] + vX_[3592] * vX_[421] + vX_[3595] * vX_[439];
+ vX_[3605] = vX_[3595] * -1;
+ vX_[3606] = vX_[3603] * 1 / vX_[418];
+ vX_[3607] = vX_[3604] * 1 / vX_[418];
+ vX_[3608] = vX_[3605] * 1 / vX_[418];
+ vX_[3609] = vX_[3600] * 1 / vX_[418];
+ vX_[3610] = vX_[3582] * vX_[394] + vX_[3597] * vX_[421];
+ vX_[3611] = vX_[3610] * 1 / vX_[418];
+ vX_[3605] = vX_[3605] - (vX_[3606] * vX_[428] + vX_[3607] * vX_[416] + vX_[3608] * vX_[418] + vX_[3609] * vX_[424] +
+ vX_[3611] * vX_[406]);
+ vX_[3612] = vX_[3603] * vX_[395] + vX_[3604] * vX_[1690] + vX_[3605] * vX_[1698];
+ vX_[3613] = 0 - vX_[3612];
+ vX_[3614] = vX_[3603] * vX_[397] + vX_[3604] * vX_[395] + vX_[3605] * vX_[400];
+ vX_[3615] = 0 - vX_[3614];
+ vX_[3616] = vX_[3605] - (vX_[3612] * 38.1956380581338 * 0.1104774 + vX_[3614] * 38.1956380581338 * -0.0004405 +
+ vX_[3605] * 38.1956380581338 * 0.026181);
+ vX_[3617] = 0 - vX_[3616];
+ vX_[3618] = vX_[3600] * vX_[395] + vX_[3610] * vX_[398];
+ vX_[3619] = 0 - vX_[3618];
+ vX_[3620] = vX_[3600] * vX_[397] + vX_[3610] * vX_[395];
+ vX_[3621] = 0 - vX_[3620];
+ vX_[3622] = 0 - vX_[3616];
+ vX_[3623] = 0 - vX_[3618];
+ vX_[3624] = 0 - vX_[3620];
+ vX_[3625] = vX_[3622] * vX_[1734] + vX_[3623] * vX_[1739] + vX_[3624] * vX_[1743];
+ vX_[3626] = 0 - vX_[3618];
+ vX_[3627] = 0 - vX_[3620];
+ vX_[3628] = vX_[3626] * vX_[1749] + vX_[3627] * vX_[1753];
+ vX_[3629] = 0 - vX_[3628];
+ vX_[3630] = vX_[3602] * vX_[391] + vX_[3613] * vX_[1705] + vX_[3615] * vX_[1710] + vX_[3617] * vX_[1714] +
+ vX_[3619] * vX_[1723] + vX_[3621] * vX_[1732] + vX_[3625] * vX_[1747] + vX_[3629] * vX_[1761];
+ vX_[3631] = vX_[3630] * vX_[1887];
+ vX_[3632] = 0 - vX_[3612];
+ vX_[3633] = 0 - vX_[3614];
+ vX_[3634] = 0 - vX_[3616];
+ vX_[3635] = 0 - vX_[3618];
+ vX_[3636] = 0 - vX_[3620];
+ vX_[3637] = 0 - vX_[3625];
+ vX_[3638] = 0 - vX_[3616];
+ vX_[3639] = 0 - vX_[3618];
+ vX_[3640] = 0 - vX_[3620];
+ vX_[3641] = vX_[3638] * vX_[391] + vX_[3639] * vX_[1704] + vX_[3640] * vX_[1708];
+ vX_[3642] = vX_[3632] * vX_[1749] + vX_[3633] * vX_[1752] + vX_[3634] * vX_[1893] + vX_[3635] * vX_[1899] +
+ vX_[3636] * vX_[1904] + vX_[3637] * vX_[1911] + vX_[3641] * vX_[1761];
+ vX_[3643] = vX_[3642] * vX_[1923];
+ vX_[3644] = 0 - vX_[3631] - vX_[3643];
+ vX_[3645] = vX_[3630] * vX_[1919];
+ vX_[3646] = 0 - vX_[3601];
+ vX_[3647] = 0 - vX_[3612];
+ vX_[3648] = 0 - vX_[3614];
+ vX_[3649] = 0 - vX_[3616];
+ vX_[3650] = 0 - vX_[3618];
+ vX_[3651] = 0 - vX_[3620];
+ vX_[3652] = 0 - vX_[3641];
+ vX_[3653] = vX_[3646] * vX_[1940] + vX_[3647] * vX_[1737] + vX_[3648] * vX_[1742] + vX_[3649] * vX_[1947] +
+ vX_[3650] * vX_[1955] + vX_[3651] * vX_[1963] + vX_[3652] * vX_[1747] + vX_[3628] * vX_[1911];
+ vX_[3654] = vX_[3653] * vX_[1887];
+ vX_[3655] = vX_[3645] + vX_[3654];
+ vX_[3656] = vX_[3642] * vX_[1919];
+ vX_[3657] = vX_[3653] * vX_[1923];
+ vX_[3658] = vX_[3656] + vX_[3657];
+ vX_[3659] = vX_[3642] * vX_[1887];
+ vX_[3660] = vX_[3630] * vX_[1923];
+ vX_[3661] = vX_[3659] - vX_[3660];
+ vX_[3644] = vX_[3644] * vX_[1938] +
+ (vX_[3644] * vX_[1937] + vX_[3655] * vX_[1970] + vX_[3658] * vX_[1974] + vX_[3661] * vX_[1978]) * 2.;
+ vX_[3657] = 0 - vX_[3656] + vX_[3657];
+ vX_[3654] = vX_[3645] - vX_[3654];
+ vX_[3661] = vX_[3661] * vX_[1938] + vX_[3657] * vX_[1971] + vX_[3654] * vX_[1829];
+ vX_[3645] = 0 - vX_[3661];
+ vX_[3656] = vX_[3644] * vX_[1936] + vX_[3645] * vX_[1932];
+ vX_[3662] = vX_[3653] * vX_[1919];
+ vX_[3643] = 0 - vX_[3662] - vX_[3643];
+ vX_[3660] = vX_[3659] + vX_[3660];
+ vX_[3643] = vX_[3655] * vX_[1938] + vX_[3643] * vX_[1971] +
+ (vX_[3643] * vX_[1970] + vX_[3660] * vX_[1974] + vX_[3657] * vX_[1978]) * 2.;
+ vX_[3657] = 0 - vX_[3643];
+ vX_[3662] = 0 - vX_[3662] - vX_[3631];
+ vX_[3662] = vX_[3658] * vX_[1938] + vX_[3660] * vX_[1971] + vX_[3662] * vX_[1829] +
+ (vX_[3662] * vX_[1974] + vX_[3654] * vX_[1978]) * 2.;
+ vX_[3660] = vX_[3657] * vX_[1932] + vX_[3662] * vX_[1936];
+ vX_[3654] = vX_[3643] * vX_[1936] + vX_[3662] * vX_[1932];
+ vX_[3658] = vX_[3644] * vX_[1932] + vX_[3661] * vX_[1936];
+ vX_[3631] = vX_[3434] * vX_[1982] + vX_[3411] * vX_[1985] + vX_[3423] * vX_[1988];
+ vX_[3655] = vX_[3631] * vX_[950] * -1000.;
+ vX_[3659] = vX_[3655] * vX_[872];
+ vX_[3663] = vX_[3434] * vX_[1994] + vX_[3411] * vX_[1987] + vX_[3423] * vX_[1983];
+ vX_[3664] = vX_[3663] * vX_[950] * -1000.;
+ vX_[3665] = vX_[3664] * vX_[891];
+ vX_[3666] = 0 - vX_[3659] - vX_[3665];
+ vX_[3434] = vX_[3434] * vX_[1986] + vX_[3411] * vX_[1975] + vX_[3423] * vX_[1993];
+ vX_[3423] = vX_[3434] * vX_[950] * -1000.;
+ vX_[3411] = vX_[3423] * vX_[872];
+ vX_[3667] = vX_[3655] * vX_[909];
+ vX_[3668] = vX_[3411] + vX_[3667];
+ vX_[3669] = vX_[3423] * vX_[891];
+ vX_[3670] = vX_[3664] * vX_[909];
+ vX_[3671] = vX_[3669] + vX_[3670];
+ vX_[3672] = vX_[3655] * vX_[891];
+ vX_[3673] = vX_[3664] * vX_[872];
+ vX_[3674] = vX_[3672] - vX_[3673];
+ vX_[3666] = vX_[3666] * vX_[838] +
+ (vX_[3666] * vX_[837] + vX_[3668] * vX_[873] + vX_[3671] * vX_[842] + vX_[3674] * vX_[876]) * 2.;
+ vX_[3670] = 0 - vX_[3669] + vX_[3670];
+ vX_[3667] = vX_[3411] - vX_[3667];
+ vX_[3674] = vX_[3674] * vX_[838] + vX_[3670] * vX_[874] + vX_[3667] * vX_[843];
+ vX_[3411] = 0 - vX_[3674];
+ vX_[3669] = vX_[3666] * vX_[836] + vX_[3411] * vX_[832];
+ vX_[3675] = vX_[3423] * vX_[909];
+ vX_[3665] = 0 - vX_[3675] - vX_[3665];
+ vX_[3673] = vX_[3672] + vX_[3673];
+ vX_[3665] = vX_[3668] * vX_[838] + vX_[3665] * vX_[874] +
+ (vX_[3665] * vX_[873] + vX_[3673] * vX_[842] + vX_[3670] * vX_[876]) * 2.;
+ vX_[3670] = 0 - vX_[3665];
+ vX_[3675] = 0 - vX_[3675] - vX_[3659];
+ vX_[3675] = vX_[3671] * vX_[838] + vX_[3673] * vX_[874] + vX_[3675] * vX_[843] +
+ (vX_[3675] * vX_[842] + vX_[3667] * vX_[876]) * 2.;
+ vX_[3673] = vX_[3670] * vX_[832] + vX_[3675] * vX_[836];
+ vX_[3667] = vX_[3665] * vX_[836] + vX_[3675] * vX_[832];
+ vX_[3671] = vX_[3666] * vX_[832] + vX_[3674] * vX_[836];
+ vX_[3434] = vX_[3434] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[3434] * vX_[844] + vX_[3631] * vX_[910] + vX_[3663] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[3663] = vX_[3434] * vX_[935];
+ vX_[3631] = vX_[3434] * vX_[939];
+ vX_[3659] = (vX_[3663] * vX_[925] + vX_[3631] * vX_[926]) * 2.;
+ vX_[3668] = 0 - vX_[3631];
+ vX_[3672] = vX_[3668] * vX_[936] + vX_[3663] * vX_[927];
+ vX_[3676] = 0 - vX_[3672];
+ vX_[3677] = vX_[3659] * vX_[921] + vX_[3676] * vX_[917];
+ vX_[3678] = vX_[3434] * vX_[946];
+ vX_[3679] = 0 - vX_[3678];
+ vX_[3679] = vX_[3663] * vX_[922] + vX_[3679] * vX_[936] + (vX_[3679] * vX_[925] + vX_[3668] * vX_[928]) * 2.;
+ vX_[3668] = 0 - vX_[3679];
+ vX_[3678] = 0 - vX_[3678];
+ vX_[3678] = vX_[3631] * vX_[922] + vX_[3678] * vX_[927] + (vX_[3678] * vX_[926] + vX_[3663] * vX_[928]) * 2.;
+ vX_[3631] = vX_[3668] * vX_[917] + vX_[3678] * vX_[921];
+ vX_[3663] = vX_[3679] * vX_[921] + vX_[3678] * vX_[917];
+ vX_[3680] = vX_[3659] * vX_[917] + vX_[3672] * vX_[921];
+ vX_[3681] = vX_[3507] * vX_[2014] + vX_[3484] * vX_[2017] + vX_[3496] * vX_[2020];
+ vX_[3682] = vX_[3681] * vX_[1261] * -1000.;
+ vX_[3683] = vX_[3682] * vX_[1189];
+ vX_[3684] = vX_[3507] * vX_[2026] + vX_[3484] * vX_[2019] + vX_[3496] * vX_[2015];
+ vX_[3685] = vX_[3684] * vX_[1261] * -1000.;
+ vX_[3686] = vX_[3685] * vX_[1207];
+ vX_[3687] = 0 - vX_[3683] - vX_[3686];
+ vX_[3507] = vX_[3507] * vX_[2018] + vX_[3484] * vX_[2013] + vX_[3496] * vX_[2025];
+ vX_[3496] = vX_[3507] * vX_[1261] * -1000.;
+ vX_[3484] = vX_[3496] * vX_[1189];
+ vX_[3688] = vX_[3682] * vX_[1226];
+ vX_[3689] = vX_[3484] + vX_[3688];
+ vX_[3690] = vX_[3496] * vX_[1207];
+ vX_[3691] = vX_[3685] * vX_[1226];
+ vX_[3692] = vX_[3690] + vX_[3691];
+ vX_[3693] = vX_[3682] * vX_[1207];
+ vX_[3694] = vX_[3685] * vX_[1189];
+ vX_[3695] = vX_[3693] - vX_[3694];
+ vX_[3687] = vX_[3687] * vX_[1152] +
+ (vX_[3687] * vX_[1151] + vX_[3689] * vX_[1190] + vX_[3692] * vX_[1156] + vX_[3695] * vX_[1193]) * 2.;
+ vX_[3691] = 0 - vX_[3690] + vX_[3691];
+ vX_[3688] = vX_[3484] - vX_[3688];
+ vX_[3695] = vX_[3695] * vX_[1152] + vX_[3691] * vX_[1191] + vX_[3688] * vX_[1157];
+ vX_[3484] = 0 - vX_[3695];
+ vX_[3690] = vX_[3687] * vX_[1150] + vX_[3484] * vX_[1146];
+ vX_[3696] = vX_[3496] * vX_[1226];
+ vX_[3686] = 0 - vX_[3696] - vX_[3686];
+ vX_[3694] = vX_[3693] + vX_[3694];
+ vX_[3686] = vX_[3689] * vX_[1152] + vX_[3686] * vX_[1191] +
+ (vX_[3686] * vX_[1190] + vX_[3694] * vX_[1156] + vX_[3691] * vX_[1193]) * 2.;
+ vX_[3691] = 0 - vX_[3686];
+ vX_[3696] = 0 - vX_[3696] - vX_[3683];
+ vX_[3696] = vX_[3692] * vX_[1152] + vX_[3694] * vX_[1191] + vX_[3696] * vX_[1157] +
+ (vX_[3696] * vX_[1156] + vX_[3688] * vX_[1193]) * 2.;
+ vX_[3694] = vX_[3691] * vX_[1146] + vX_[3696] * vX_[1150];
+ vX_[3688] = vX_[3686] * vX_[1150] + vX_[3696] * vX_[1146];
+ vX_[3692] = vX_[3687] * vX_[1146] + vX_[3695] * vX_[1150];
+ vX_[3507] =
+ vX_[3507] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[3507] * vX_[1158] + vX_[3681] * vX_[1227] + vX_[3684] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[3684] = vX_[3507] * vX_[1250];
+ vX_[3681] = vX_[3507] * vX_[1181];
+ vX_[3683] = (vX_[3684] * vX_[1242] + vX_[3681] * vX_[1243]) * 2.;
+ vX_[3689] = 0 - vX_[3681];
+ vX_[3693] = vX_[3689] * vX_[1251] + vX_[3684] * vX_[1244];
+ vX_[3697] = 0 - vX_[3693];
+ vX_[3698] = vX_[3683] * vX_[1238] + vX_[3697] * vX_[1234];
+ vX_[3699] = vX_[3507] * vX_[1257];
+ vX_[3700] = 0 - vX_[3699];
+ vX_[3700] = vX_[3684] * vX_[1239] + vX_[3700] * vX_[1251] + (vX_[3700] * vX_[1242] + vX_[3689] * vX_[1245]) * 2.;
+ vX_[3689] = 0 - vX_[3700];
+ vX_[3699] = 0 - vX_[3699];
+ vX_[3699] = vX_[3681] * vX_[1239] + vX_[3699] * vX_[1244] + (vX_[3699] * vX_[1243] + vX_[3684] * vX_[1245]) * 2.;
+ vX_[3681] = vX_[3689] * vX_[1234] + vX_[3699] * vX_[1238];
+ vX_[3684] = vX_[3700] * vX_[1238] + vX_[3699] * vX_[1234];
+ vX_[3701] = vX_[3683] * vX_[1234] + vX_[3693] * vX_[1238];
+ vX_[3702] = vX_[3580] * vX_[2046] + vX_[3557] * vX_[2049] + vX_[3569] * vX_[2052];
+ vX_[3703] = vX_[3702] * vX_[1573] * -1000.;
+ vX_[3704] = vX_[3703] * vX_[1499];
+ vX_[3705] = vX_[3580] * vX_[2058] + vX_[3557] * vX_[2051] + vX_[3569] * vX_[2047];
+ vX_[3706] = vX_[3705] * vX_[1573] * -1000.;
+ vX_[3707] = vX_[3706] * vX_[1518];
+ vX_[3708] = 0 - vX_[3704] - vX_[3707];
+ vX_[3580] = vX_[3580] * vX_[2050] + vX_[3557] * vX_[2045] + vX_[3569] * vX_[2057];
+ vX_[3569] = vX_[3580] * vX_[1573] * -1000.;
+ vX_[3557] = vX_[3569] * vX_[1499];
+ vX_[3709] = vX_[3703] * vX_[1536];
+ vX_[3710] = vX_[3557] + vX_[3709];
+ vX_[3711] = vX_[3569] * vX_[1518];
+ vX_[3712] = vX_[3706] * vX_[1536];
+ vX_[3713] = vX_[3711] + vX_[3712];
+ vX_[3714] = vX_[3703] * vX_[1518];
+ vX_[3715] = vX_[3706] * vX_[1499];
+ vX_[3716] = vX_[3714] - vX_[3715];
+ vX_[3708] = vX_[3708] * vX_[1463] +
+ (vX_[3708] * vX_[1462] + vX_[3710] * vX_[1500] + vX_[3713] * vX_[1467] + vX_[3716] * vX_[1503]) * 2.;
+ vX_[3712] = 0 - vX_[3711] + vX_[3712];
+ vX_[3709] = vX_[3557] - vX_[3709];
+ vX_[3716] = vX_[3716] * vX_[1463] + vX_[3712] * vX_[1501] + vX_[3709] * vX_[1468];
+ vX_[3557] = 0 - vX_[3716];
+ vX_[3711] = vX_[3708] * vX_[1461] + vX_[3557] * vX_[1457];
+ vX_[3717] = vX_[3569] * vX_[1536];
+ vX_[3707] = 0 - vX_[3717] - vX_[3707];
+ vX_[3715] = vX_[3714] + vX_[3715];
+ vX_[3707] = vX_[3710] * vX_[1463] + vX_[3707] * vX_[1501] +
+ (vX_[3707] * vX_[1500] + vX_[3715] * vX_[1467] + vX_[3712] * vX_[1503]) * 2.;
+ vX_[3712] = 0 - vX_[3707];
+ vX_[3717] = 0 - vX_[3717] - vX_[3704];
+ vX_[3717] = vX_[3713] * vX_[1463] + vX_[3715] * vX_[1501] + vX_[3717] * vX_[1468] +
+ (vX_[3717] * vX_[1467] + vX_[3709] * vX_[1503]) * 2.;
+ vX_[3715] = vX_[3712] * vX_[1457] + vX_[3717] * vX_[1461];
+ vX_[3709] = vX_[3707] * vX_[1461] + vX_[3717] * vX_[1457];
+ vX_[3713] = vX_[3708] * vX_[1457] + vX_[3716] * vX_[1461];
+ vX_[3580] =
+ vX_[3580] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[3580] * vX_[1469] + vX_[3702] * vX_[1537] + vX_[3705] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[3705] = vX_[3580] * vX_[1560];
+ vX_[3702] = vX_[3580] * vX_[1491];
+ vX_[3704] = (vX_[3705] * vX_[1552] + vX_[3702] * vX_[1553]) * 2.;
+ vX_[3710] = 0 - vX_[3702];
+ vX_[3714] = vX_[3710] * vX_[1561] + vX_[3705] * vX_[1554];
+ vX_[3718] = 0 - vX_[3714];
+ vX_[3719] = vX_[3704] * vX_[1548] + vX_[3718] * vX_[1544];
+ vX_[3720] = vX_[3580] * vX_[1569];
+ vX_[3721] = 0 - vX_[3720];
+ vX_[3721] = vX_[3705] * vX_[1549] + vX_[3721] * vX_[1561] + (vX_[3721] * vX_[1552] + vX_[3710] * vX_[1555]) * 2.;
+ vX_[3710] = 0 - vX_[3721];
+ vX_[3720] = 0 - vX_[3720];
+ vX_[3720] = vX_[3702] * vX_[1549] + vX_[3720] * vX_[1554] + (vX_[3720] * vX_[1553] + vX_[3705] * vX_[1555]) * 2.;
+ vX_[3702] = vX_[3710] * vX_[1544] + vX_[3720] * vX_[1548];
+ vX_[3705] = vX_[3721] * vX_[1548] + vX_[3720] * vX_[1544];
+ vX_[3722] = vX_[3704] * vX_[1544] + vX_[3714] * vX_[1548];
+ vX_[3723] = vX_[3653] * vX_[2078] + vX_[3630] * vX_[2081] + vX_[3642] * vX_[2084];
+ vX_[3724] = vX_[3723] * vX_[1886] * -1000.;
+ vX_[3725] = vX_[3724] * vX_[1809];
+ vX_[3726] = vX_[3653] * vX_[2090] + vX_[3630] * vX_[2083] + vX_[3642] * vX_[2079];
+ vX_[3727] = vX_[3726] * vX_[1886] * -1000.;
+ vX_[3728] = vX_[3727] * vX_[1828];
+ vX_[3729] = 0 - vX_[3725] - vX_[3728];
+ vX_[3653] = vX_[3653] * vX_[2082] + vX_[3630] * vX_[2077] + vX_[3642] * vX_[2089];
+ vX_[3642] = vX_[3653] * vX_[1886] * -1000.;
+ vX_[3630] = vX_[3642] * vX_[1809];
+ vX_[3730] = vX_[3724] * vX_[1846];
+ vX_[3731] = vX_[3630] + vX_[3730];
+ vX_[3732] = vX_[3642] * vX_[1828];
+ vX_[3733] = vX_[3727] * vX_[1846];
+ vX_[3734] = vX_[3732] + vX_[3733];
+ vX_[3735] = vX_[3724] * vX_[1828];
+ vX_[3736] = vX_[3727] * vX_[1809];
+ vX_[3737] = vX_[3735] - vX_[3736];
+ vX_[3729] = vX_[3729] * vX_[1775] +
+ (vX_[3729] * vX_[1774] + vX_[3731] * vX_[1810] + vX_[3734] * vX_[1779] + vX_[3737] * vX_[1813]) * 2.;
+ vX_[3733] = 0 - vX_[3732] + vX_[3733];
+ vX_[3730] = vX_[3630] - vX_[3730];
+ vX_[3737] = vX_[3737] * vX_[1775] + vX_[3733] * vX_[1811] + vX_[3730] * vX_[1780];
+ vX_[3630] = 0 - vX_[3737];
+ vX_[3732] = vX_[3729] * vX_[1773] + vX_[3630] * vX_[1769];
+ vX_[3738] = vX_[3642] * vX_[1846];
+ vX_[3728] = 0 - vX_[3738] - vX_[3728];
+ vX_[3736] = vX_[3735] + vX_[3736];
+ vX_[3728] = vX_[3731] * vX_[1775] + vX_[3728] * vX_[1811] +
+ (vX_[3728] * vX_[1810] + vX_[3736] * vX_[1779] + vX_[3733] * vX_[1813]) * 2.;
+ vX_[3733] = 0 - vX_[3728];
+ vX_[3738] = 0 - vX_[3738] - vX_[3725];
+ vX_[3738] = vX_[3734] * vX_[1775] + vX_[3736] * vX_[1811] + vX_[3738] * vX_[1780] +
+ (vX_[3738] * vX_[1779] + vX_[3730] * vX_[1813]) * 2.;
+ vX_[3736] = vX_[3733] * vX_[1769] + vX_[3738] * vX_[1773];
+ vX_[3730] = vX_[3728] * vX_[1773] + vX_[3738] * vX_[1769];
+ vX_[3734] = vX_[3729] * vX_[1769] + vX_[3737] * vX_[1773];
+ vX_[3653] =
+ vX_[3653] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[3653] * vX_[1781] + vX_[3723] * vX_[1847] + vX_[3726] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[202] = vX_[3434] + vX_[3507] + vX_[3580] + vX_[3653];
+ vX_[3726] = vX_[3653] * vX_[1870];
+ vX_[3723] = vX_[3653] * vX_[1875];
+ vX_[3725] = (vX_[3726] * vX_[1862] + vX_[3723] * vX_[1863]) * 2.;
+ vX_[3731] = 0 - vX_[3723];
+ vX_[3735] = vX_[3731] * vX_[1871] + vX_[3726] * vX_[1864];
+ vX_[3739] = 0 - vX_[3735];
+ vX_[3740] = vX_[3725] * vX_[1858] + vX_[3739] * vX_[1854];
+ vX_[3741] = vX_[3653] * vX_[1882];
+ vX_[3742] = 0 - vX_[3741];
+ vX_[3742] = vX_[3726] * vX_[1859] + vX_[3742] * vX_[1871] + (vX_[3742] * vX_[1862] + vX_[3731] * vX_[1865]) * 2.;
+ vX_[3731] = 0 - vX_[3742];
+ vX_[3741] = 0 - vX_[3741];
+ vX_[3741] = vX_[3723] * vX_[1859] + vX_[3741] * vX_[1864] + (vX_[3741] * vX_[1863] + vX_[3726] * vX_[1865]) * 2.;
+ vX_[3723] = vX_[3731] * vX_[1854] + vX_[3741] * vX_[1858];
+ vX_[3726] = vX_[3742] * vX_[1858] + vX_[3741] * vX_[1854];
+ vX_[3743] = vX_[3725] * vX_[1854] + vX_[3735] * vX_[1858];
+ jac[22] = ((vX_[3342] * vX_[2919] + vX_[3344] * vX_[2914]) * vX_[2937] -
+ (vX_[3345] * vX_[2919] + vX_[3346] * vX_[2914]) * vX_[2911]) *
+ 0.5 +
+ ((vX_[3437] * vX_[999] + vX_[3441] * vX_[994]) * vX_[1029] -
+ (vX_[3435] * vX_[999] + vX_[3439] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[3510] * vX_[1308] + vX_[3514] * vX_[1303]) * vX_[1340] -
+ (vX_[3508] * vX_[1308] + vX_[3512] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[3583] * vX_[1620] + vX_[3587] * vX_[1615]) * vX_[1650] -
+ (vX_[3581] * vX_[1620] + vX_[3585] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[3656] * vX_[1934] + vX_[3660] * vX_[1929]) * vX_[1966] -
+ (vX_[3654] * vX_[1934] + vX_[3658] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[3669] * vX_[834] + vX_[3673] * vX_[829]) * vX_[1992] -
+ (vX_[3667] * vX_[834] + vX_[3671] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[3677] * vX_[919] + vX_[3631] * vX_[914]) * vX_[1995] -
+ (vX_[3663] * vX_[919] + vX_[3680] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[3690] * vX_[1148] + vX_[3694] * vX_[1143]) * vX_[2024] -
+ (vX_[3688] * vX_[1148] + vX_[3692] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[3698] * vX_[1236] + vX_[3681] * vX_[1231]) * vX_[2027] -
+ (vX_[3684] * vX_[1236] + vX_[3701] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[3711] * vX_[1459] + vX_[3715] * vX_[1454]) * vX_[2056] -
+ (vX_[3709] * vX_[1459] + vX_[3713] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[3719] * vX_[1546] + vX_[3702] * vX_[1541]) * vX_[2059] -
+ (vX_[3705] * vX_[1546] + vX_[3722] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[3732] * vX_[1771] + vX_[3736] * vX_[1766]) * vX_[2088] -
+ (vX_[3730] * vX_[1771] + vX_[3734] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[3740] * vX_[1856] + vX_[3723] * vX_[1851]) * vX_[2091] -
+ (vX_[3726] * vX_[1856] + vX_[3743] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[2925] = 9.81 * vX_[2925] + 9.81 * vX_[2924] * 2.;
+ vX_[2924] = 0 - vX_[2925];
+ vX_[3339] = 9.81 * vX_[3339] + 9.81 * vX_[2922] * 2.;
+ vX_[2922] = vX_[2924] * vX_[2921] + vX_[3339] * vX_[2917];
+ vX_[2921] = vX_[2925] * vX_[2917] + vX_[3339] * vX_[2921];
+ vX_[2917] = -1 * 1 / vX_[720];
+ vX_[3744] = 0 - vX_[2917];
+ vX_[3745] = vX_[3744] * vX_[743] * 1 / vX_[718];
+ vX_[3746] = 0 - vX_[2917];
+ vX_[3747] = 0 - vX_[3745];
+ vX_[3748] = 0 - vX_[2917];
+ vX_[3749] = 0 - vX_[3745];
+ vX_[3750] = (vX_[3748] * vX_[689] + vX_[3749] * vX_[736]) * 1 / vX_[721];
+ vX_[3751] = 0 - vX_[3750];
+ vX_[3752] = (vX_[3746] * vX_[682] + vX_[3747] * vX_[730] + vX_[3751] * vX_[509]) * 1 / vX_[618];
+ vX_[3753] = 0 - vX_[2917];
+ vX_[3754] = 0 - vX_[3745];
+ vX_[3755] = 0 - vX_[3750];
+ vX_[3756] = 0 - vX_[3752];
+ vX_[3757] =
+ (vX_[3753] * vX_[662] + vX_[3754] * vX_[633] + vX_[3755] * vX_[691] + vX_[3756] * vX_[667]) * 1 / vX_[616];
+ vX_[3758] = 0 - vX_[2917];
+ vX_[3759] = 0 - vX_[3745];
+ vX_[3760] = 0 - vX_[3750];
+ vX_[3761] = 0 - vX_[3752];
+ vX_[3762] = 0 - vX_[3757];
+ vX_[3763] = (vX_[3758] * vX_[510] + vX_[3759] * vX_[518] + vX_[3760] * vX_[690] + vX_[3761] * vX_[628] +
+ vX_[3762] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3764] =
+ vX_[2917] * vX_[126] + vX_[3745] * vX_[1] + vX_[3752] * vX_[140] + vX_[3757] * vX_[138] + vX_[3763] * vX_[706];
+ vX_[3765] = vX_[3750] + vX_[3752] * 0.207;
+ vX_[3766] = vX_[3765] * 1 / vX_[123];
+ vX_[3767] = vX_[3764] * 1 / vX_[123];
+ vX_[3768] =
+ vX_[2917] * vX_[729] + vX_[3745] * vX_[126] + vX_[3752] * vX_[728] + vX_[3757] * vX_[727] + vX_[3763] * vX_[27];
+ vX_[3769] = vX_[3768] * 1 / vX_[123];
+ vX_[3770] = vX_[3763] * 1 / vX_[123];
+ vX_[3771] = vX_[3752] * vX_[126] + vX_[3757] * vX_[1];
+ vX_[3772] = vX_[3771] * 1 / vX_[123];
+ vX_[3773] = vX_[3752] * vX_[139] + vX_[3757] * vX_[126];
+ vX_[3774] = vX_[3773] * 1 / vX_[123];
+ vX_[3775] = vX_[3763] - (vX_[3766] * vX_[135] + vX_[3767] * vX_[97] + vX_[3769] * vX_[88] + vX_[3770] * vX_[123] +
+ vX_[3772] * vX_[148] + vX_[3774] * vX_[157]);
+ vX_[3776] = vX_[3764] + vX_[3775] * 0.08;
+ vX_[3777] = vX_[3775] * vX_[76] + vX_[3773] * vX_[4];
+ vX_[3778] = vX_[3776] + vX_[3777] * -0.35;
+ vX_[3779] = 0 - vX_[3778];
+ vX_[3780] = vX_[3765] * vX_[750] + vX_[3768] * vX_[751] + vX_[3771] * vX_[752];
+ vX_[3781] = vX_[3765] * vX_[754] + vX_[3768] * vX_[75] + vX_[3771] * vX_[93];
+ vX_[3782] = vX_[3780] * 1 / vX_[72];
+ vX_[3783] = vX_[3781] * 1 / vX_[72];
+ vX_[3784] = vX_[3771] * 1 / vX_[72];
+ vX_[3785] = vX_[3777] * 1 / vX_[72];
+ vX_[3786] = vX_[3775] * vX_[4] + vX_[3773] * vX_[75];
+ vX_[3787] = vX_[3786] * 1 / vX_[72];
+ vX_[3788] = vX_[3771] - (vX_[3782] * vX_[83] + vX_[3783] * vX_[70] + vX_[3784] * vX_[72] + vX_[3785] * vX_[79] +
+ vX_[3787] * vX_[60]);
+ vX_[3789] = vX_[3780] * vX_[7] + vX_[3781] * vX_[756] + vX_[3788] * vX_[764];
+ vX_[3790] = 0 - vX_[3789];
+ vX_[3791] = vX_[3780] * vX_[51] + vX_[3781] * vX_[7] + vX_[3788] * vX_[54];
+ vX_[3792] = 0 - vX_[3791];
+ vX_[3793] = vX_[3788] - (vX_[3789] * 38.1956380581338 * 0.1104774 + vX_[3791] * 38.1956380581338 * 0.0004405 +
+ vX_[3788] * 38.1956380581338 * 0.026181);
+ vX_[3794] = 0 - vX_[3793];
+ vX_[3795] = vX_[3777] * vX_[7] + vX_[3786] * vX_[52];
+ vX_[3796] = 0 - vX_[3795];
+ vX_[3797] = vX_[3777] * vX_[51] + vX_[3786] * vX_[7];
+ vX_[3798] = 0 - vX_[3797];
+ vX_[3799] = 0 - vX_[3793];
+ vX_[3800] = 0 - vX_[3795];
+ vX_[3801] = 0 - vX_[3797];
+ vX_[3802] = vX_[3799] * vX_[126] + vX_[3800] * vX_[803] + vX_[3801] * vX_[806];
+ vX_[3803] = 0 - vX_[3795];
+ vX_[3804] = 0 - vX_[3797];
+ vX_[3805] = vX_[3803] * vX_[812] + vX_[3804] * vX_[816];
+ vX_[3806] = 0 - vX_[3805];
+ vX_[3807] = vX_[3779] * vX_[1] + vX_[3790] * vX_[771] + vX_[3792] * vX_[776] + vX_[3794] * vX_[780] +
+ vX_[3796] * vX_[789] + vX_[3798] * vX_[797] + vX_[3802] * vX_[810] + vX_[3806] * vX_[824];
+ vX_[3808] = vX_[3807] * vX_[951];
+ vX_[3809] = 0 - vX_[3789];
+ vX_[3810] = 0 - vX_[3791];
+ vX_[3811] = 0 - vX_[3793];
+ vX_[3812] = 0 - vX_[3795];
+ vX_[3813] = 0 - vX_[3797];
+ vX_[3814] = 0 - vX_[3802];
+ vX_[3815] = 0 - vX_[3793];
+ vX_[3816] = 0 - vX_[3795];
+ vX_[3817] = 0 - vX_[3797];
+ vX_[3818] = vX_[3815] * vX_[1] + vX_[3816] * vX_[770] + vX_[3817] * vX_[775];
+ vX_[3819] = vX_[3809] * vX_[812] + vX_[3810] * vX_[815] + vX_[3811] * vX_[957] + vX_[3812] * vX_[963] +
+ vX_[3813] * vX_[968] + vX_[3814] * vX_[975] + vX_[3818] * vX_[824];
+ vX_[3820] = vX_[3819] * vX_[988];
+ vX_[3821] = 0 - vX_[3808] - vX_[3820];
+ vX_[3822] = vX_[3807] * vX_[984];
+ vX_[3823] = 0 - vX_[3778];
+ vX_[3824] = 0 - vX_[3789];
+ vX_[3825] = 0 - vX_[3791];
+ vX_[3826] = 0 - vX_[3793];
+ vX_[3827] = 0 - vX_[3795];
+ vX_[3828] = 0 - vX_[3797];
+ vX_[3829] = 0 - vX_[3818];
+ vX_[3830] = vX_[3823] * vX_[126] + vX_[3824] * vX_[801] + vX_[3825] * vX_[805] + vX_[3826] * vX_[1010] +
+ vX_[3827] * vX_[1018] + vX_[3828] * vX_[1026] + vX_[3829] * vX_[810] + vX_[3805] * vX_[975];
+ vX_[3831] = vX_[3830] * vX_[951];
+ vX_[3832] = vX_[3822] + vX_[3831];
+ vX_[3833] = vX_[3819] * vX_[984];
+ vX_[3834] = vX_[3830] * vX_[988];
+ vX_[3835] = vX_[3833] + vX_[3834];
+ vX_[3836] = vX_[3819] * vX_[951];
+ vX_[3837] = vX_[3807] * vX_[988];
+ vX_[3838] = vX_[3836] - vX_[3837];
+ vX_[3821] = vX_[3821] * vX_[1003] +
+ (vX_[3821] * vX_[1002] + vX_[3832] * vX_[1033] + vX_[3835] * vX_[1037] + vX_[3838] * vX_[1041]) * 2.;
+ vX_[3834] = 0 - vX_[3833] + vX_[3834];
+ vX_[3831] = vX_[3822] - vX_[3831];
+ vX_[3838] = vX_[3838] * vX_[1003] + vX_[3834] * vX_[1034] + vX_[3831] * vX_[892];
+ vX_[3822] = 0 - vX_[3838];
+ vX_[3833] = vX_[3821] * vX_[1001] + vX_[3822] * vX_[997];
+ vX_[3839] = vX_[3830] * vX_[984];
+ vX_[3820] = 0 - vX_[3839] - vX_[3820];
+ vX_[3837] = vX_[3836] + vX_[3837];
+ vX_[3820] = vX_[3832] * vX_[1003] + vX_[3820] * vX_[1034] +
+ (vX_[3820] * vX_[1033] + vX_[3837] * vX_[1037] + vX_[3834] * vX_[1041]) * 2.;
+ vX_[3834] = 0 - vX_[3820];
+ vX_[3839] = 0 - vX_[3839] - vX_[3808];
+ vX_[3839] = vX_[3835] * vX_[1003] + vX_[3837] * vX_[1034] + vX_[3839] * vX_[892] +
+ (vX_[3839] * vX_[1037] + vX_[3831] * vX_[1041]) * 2.;
+ vX_[3837] = vX_[3834] * vX_[997] + vX_[3839] * vX_[1001];
+ vX_[3831] = vX_[3820] * vX_[1001] + vX_[3839] * vX_[997];
+ vX_[3835] = vX_[3821] * vX_[997] + vX_[3838] * vX_[1001];
+ vX_[3808] = vX_[2917] * vX_[235] + vX_[3745] * vX_[1030] + vX_[3752] * vX_[250] + vX_[3757] * vX_[248] +
+ vX_[3763] * vX_[1038];
+ vX_[3832] = vX_[3763] * -1;
+ vX_[3836] = vX_[3750] * -1 + vX_[3752] * 0.207;
+ vX_[3840] = vX_[3836] * 1 / vX_[232];
+ vX_[3841] = vX_[3808] * 1 / vX_[232];
+ vX_[3842] = vX_[2917] * vX_[1050] + vX_[3745] * vX_[1051] + vX_[3752] * vX_[1052] + vX_[3757] * vX_[1053] +
+ vX_[3763] * vX_[164];
+ vX_[3843] = vX_[3842] * 1 / vX_[232];
+ vX_[3844] = vX_[3832] * 1 / vX_[232];
+ vX_[3845] = vX_[3752] * vX_[235] + vX_[3757] * vX_[249];
+ vX_[3846] = vX_[3845] * 1 / vX_[232];
+ vX_[3847] = vX_[3752] * vX_[249] + vX_[3757] * vX_[247];
+ vX_[3848] = vX_[3847] * 1 / vX_[232];
+ vX_[3832] = vX_[3832] - (vX_[3840] * vX_[244] + vX_[3841] * vX_[206] + vX_[3843] * vX_[196] + vX_[3844] * vX_[232] +
+ vX_[3846] * vX_[258] + vX_[3848] * vX_[267]);
+ vX_[3849] = vX_[3808] * -1 + vX_[3832] * -0.08;
+ vX_[3850] = vX_[3832] * vX_[186] + vX_[3847] * vX_[195];
+ vX_[3851] = vX_[3849] + vX_[3850] * -0.35;
+ vX_[3852] = 0 - vX_[3851];
+ vX_[3853] = vX_[3836] * vX_[186] + vX_[3842] * vX_[1065] + vX_[3845] * vX_[1066];
+ vX_[3854] = vX_[3836] * vX_[166] + vX_[3842] * vX_[186] + vX_[3845] * vX_[201];
+ vX_[3855] = vX_[3845] * -1;
+ vX_[3856] = vX_[3853] * 1 / vX_[183];
+ vX_[3857] = vX_[3854] * 1 / vX_[183];
+ vX_[3858] = vX_[3855] * 1 / vX_[183];
+ vX_[3859] = vX_[3850] * 1 / vX_[183];
+ vX_[3860] = vX_[3832] * vX_[166] + vX_[3847] * vX_[186];
+ vX_[3861] = vX_[3860] * 1 / vX_[183];
+ vX_[3855] = vX_[3855] - (vX_[3856] * vX_[190] + vX_[3857] * vX_[181] + vX_[3858] * vX_[183] + vX_[3859] * 2.1e-05 +
+ vX_[3861] * -0.000102);
+ vX_[3862] = vX_[3853] * vX_[169] + vX_[3854] * vX_[1069] + vX_[3855] * vX_[1077];
+ vX_[3863] = 0 - vX_[3862];
+ vX_[3864] = vX_[3853] * vX_[167] + vX_[3854] * vX_[169] + vX_[3855] * vX_[168];
+ vX_[3865] = 0 - vX_[3864];
+ vX_[3866] = vX_[3855] - (vX_[3862] * 38.1956380581338 * 0.110125 + vX_[3864] * 38.1956380581338 * 0.000881 +
+ vX_[3855] * 38.1956380581338 * 0.026181);
+ vX_[3867] = 0 - vX_[3866];
+ vX_[3868] = vX_[3850] * vX_[169] + vX_[3860] * vX_[175];
+ vX_[3869] = 0 - vX_[3868];
+ vX_[3870] = vX_[3850] * vX_[167] + vX_[3860] * vX_[169];
+ vX_[3871] = 0 - vX_[3870];
+ vX_[3872] = 0 - vX_[3866];
+ vX_[3873] = 0 - vX_[3868];
+ vX_[3874] = 0 - vX_[3870];
+ vX_[3875] = vX_[3872] * vX_[1111] + vX_[3873] * vX_[1116] + vX_[3874] * vX_[1120];
+ vX_[3876] = 0 - vX_[3868];
+ vX_[3877] = 0 - vX_[3870];
+ vX_[3878] = vX_[3876] * vX_[1126] + vX_[3877] * vX_[1130];
+ vX_[3879] = 0 - vX_[3878];
+ vX_[3880] = vX_[3852] * vX_[163] + vX_[3863] * vX_[1083] + vX_[3865] * vX_[1088] + vX_[3867] * vX_[1092] +
+ vX_[3869] * vX_[1101] + vX_[3871] * vX_[1109] + vX_[3875] * vX_[1124] + vX_[3879] * vX_[1138];
+ vX_[3881] = vX_[3880] * vX_[1262];
+ vX_[3882] = 0 - vX_[3862];
+ vX_[3883] = 0 - vX_[3864];
+ vX_[3884] = 0 - vX_[3866];
+ vX_[3885] = 0 - vX_[3868];
+ vX_[3886] = 0 - vX_[3870];
+ vX_[3887] = 0 - vX_[3875];
+ vX_[3888] = 0 - vX_[3866];
+ vX_[3889] = 0 - vX_[3868];
+ vX_[3890] = 0 - vX_[3870];
+ vX_[3891] = vX_[3888] * vX_[163] + vX_[3889] * vX_[1082] + vX_[3890] * vX_[1086];
+ vX_[3892] = vX_[3882] * vX_[1126] + vX_[3883] * vX_[1129] + vX_[3884] * vX_[1268] + vX_[3885] * vX_[1274] +
+ vX_[3886] * vX_[1279] + vX_[3887] * vX_[1219] + vX_[3891] * vX_[1138];
+ vX_[3893] = vX_[3892] * vX_[1297];
+ vX_[3894] = 0 - vX_[3881] - vX_[3893];
+ vX_[3895] = vX_[3880] * vX_[1293];
+ vX_[3896] = 0 - vX_[3851];
+ vX_[3897] = 0 - vX_[3862];
+ vX_[3898] = 0 - vX_[3864];
+ vX_[3899] = 0 - vX_[3866];
+ vX_[3900] = 0 - vX_[3868];
+ vX_[3901] = 0 - vX_[3870];
+ vX_[3902] = 0 - vX_[3891];
+ vX_[3903] = vX_[3896] * vX_[1314] + vX_[3897] * vX_[1114] + vX_[3898] * vX_[1119] + vX_[3899] * vX_[1321] +
+ vX_[3900] * vX_[1329] + vX_[3901] * vX_[1337] + vX_[3902] * vX_[1124] + vX_[3878] * vX_[1219];
+ vX_[3904] = vX_[3903] * vX_[1262];
+ vX_[3905] = vX_[3895] + vX_[3904];
+ vX_[3906] = vX_[3892] * vX_[1293];
+ vX_[3907] = vX_[3903] * vX_[1297];
+ vX_[3908] = vX_[3906] + vX_[3907];
+ vX_[3909] = vX_[3892] * vX_[1262];
+ vX_[3910] = vX_[3880] * vX_[1297];
+ vX_[3911] = vX_[3909] - vX_[3910];
+ vX_[3894] = vX_[3894] * vX_[1312] +
+ (vX_[3894] * vX_[1311] + vX_[3905] * vX_[1344] + vX_[3908] * vX_[1348] + vX_[3911] * vX_[1352]) * 2.;
+ vX_[3907] = 0 - vX_[3906] + vX_[3907];
+ vX_[3904] = vX_[3895] - vX_[3904];
+ vX_[3911] = vX_[3911] * vX_[1312] + vX_[3907] * vX_[1345] + vX_[3904] * vX_[1208];
+ vX_[3895] = 0 - vX_[3911];
+ vX_[3906] = vX_[3894] * vX_[1310] + vX_[3895] * vX_[1306];
+ vX_[3912] = vX_[3903] * vX_[1293];
+ vX_[3893] = 0 - vX_[3912] - vX_[3893];
+ vX_[3910] = vX_[3909] + vX_[3910];
+ vX_[3893] = vX_[3905] * vX_[1312] + vX_[3893] * vX_[1345] +
+ (vX_[3893] * vX_[1344] + vX_[3910] * vX_[1348] + vX_[3907] * vX_[1352]) * 2.;
+ vX_[3907] = 0 - vX_[3893];
+ vX_[3912] = 0 - vX_[3912] - vX_[3881];
+ vX_[3912] = vX_[3908] * vX_[1312] + vX_[3910] * vX_[1345] + vX_[3912] * vX_[1208] +
+ (vX_[3912] * vX_[1348] + vX_[3904] * vX_[1352]) * 2.;
+ vX_[3910] = vX_[3907] * vX_[1306] + vX_[3912] * vX_[1310];
+ vX_[3904] = vX_[3893] * vX_[1310] + vX_[3912] * vX_[1306];
+ vX_[3908] = vX_[3894] * vX_[1306] + vX_[3911] * vX_[1310];
+ vX_[3881] = vX_[2917] * vX_[354] + vX_[3745] * vX_[273] + vX_[3752] * vX_[368] + vX_[3757] * vX_[366] +
+ vX_[3763] * vX_[1341];
+ vX_[3905] = vX_[3750] + vX_[3752] * 0.207;
+ vX_[3909] = vX_[3905] * 1 / vX_[351];
+ vX_[3913] = vX_[3881] * 1 / vX_[351];
+ vX_[3914] = vX_[2917] * vX_[1359] + vX_[3745] * vX_[354] + vX_[3752] * vX_[1360] + vX_[3757] * vX_[1361] +
+ vX_[3763] * vX_[274];
+ vX_[3915] = vX_[3914] * 1 / vX_[351];
+ vX_[3916] = vX_[3763] * 1 / vX_[351];
+ vX_[3917] = vX_[3752] * vX_[354] + vX_[3757] * vX_[273];
+ vX_[3918] = vX_[3917] * 1 / vX_[351];
+ vX_[3919] = vX_[3752] * vX_[367] + vX_[3757] * vX_[354];
+ vX_[3920] = vX_[3919] * 1 / vX_[351];
+ vX_[3921] = vX_[3763] - (vX_[3909] * vX_[363] + vX_[3913] * vX_[325] + vX_[3915] * vX_[316] + vX_[3916] * vX_[351] +
+ vX_[3918] * vX_[376] + vX_[3920] * vX_[385]);
+ vX_[3922] = vX_[3881] + vX_[3921] * 0.08;
+ vX_[3923] = vX_[3921] * vX_[304] + vX_[3919] * vX_[276];
+ vX_[3924] = vX_[3922] + vX_[3923] * -0.35;
+ vX_[3925] = 0 - vX_[3924];
+ vX_[3926] = vX_[3905] * vX_[1374] + vX_[3914] * vX_[1375] + vX_[3917] * vX_[1376];
+ vX_[3927] = vX_[3905] * vX_[1378] + vX_[3914] * vX_[303] + vX_[3917] * vX_[321];
+ vX_[3928] = vX_[3926] * 1 / vX_[300];
+ vX_[3929] = vX_[3927] * 1 / vX_[300];
+ vX_[3930] = vX_[3917] * 1 / vX_[300];
+ vX_[3931] = vX_[3923] * 1 / vX_[300];
+ vX_[3932] = vX_[3921] * vX_[276] + vX_[3919] * vX_[303];
+ vX_[3933] = vX_[3932] * 1 / vX_[300];
+ vX_[3934] = vX_[3917] - (vX_[3928] * vX_[311] + vX_[3929] * vX_[298] + vX_[3930] * vX_[300] + vX_[3931] * vX_[307] +
+ vX_[3933] * vX_[288]);
+ vX_[3935] = vX_[3926] * vX_[277] + vX_[3927] * vX_[1380] + vX_[3934] * vX_[1388];
+ vX_[3936] = 0 - vX_[3935];
+ vX_[3937] = vX_[3926] * vX_[279] + vX_[3927] * vX_[277] + vX_[3934] * vX_[282];
+ vX_[3938] = 0 - vX_[3937];
+ vX_[3939] = vX_[3934] - (vX_[3935] * 38.1956380581338 * 0.1104774 + vX_[3937] * 38.1956380581338 * -0.0004405 +
+ vX_[3934] * 38.1956380581338 * 0.026181);
+ vX_[3940] = 0 - vX_[3939];
+ vX_[3941] = vX_[3923] * vX_[277] + vX_[3932] * vX_[280];
+ vX_[3942] = 0 - vX_[3941];
+ vX_[3943] = vX_[3923] * vX_[279] + vX_[3932] * vX_[277];
+ vX_[3944] = 0 - vX_[3943];
+ vX_[3945] = 0 - vX_[3939];
+ vX_[3946] = 0 - vX_[3941];
+ vX_[3947] = 0 - vX_[3943];
+ vX_[3948] = vX_[3945] * vX_[354] + vX_[3946] * vX_[1428] + vX_[3947] * vX_[1431];
+ vX_[3949] = 0 - vX_[3941];
+ vX_[3950] = 0 - vX_[3943];
+ vX_[3951] = vX_[3949] * vX_[1437] + vX_[3950] * vX_[1441];
+ vX_[3952] = 0 - vX_[3951];
+ vX_[3953] = vX_[3925] * vX_[273] + vX_[3936] * vX_[1395] + vX_[3938] * vX_[1400] + vX_[3940] * vX_[1404] +
+ vX_[3942] * vX_[1413] + vX_[3944] * vX_[1422] + vX_[3948] * vX_[1435] + vX_[3952] * vX_[1449];
+ vX_[3954] = vX_[3953] * vX_[1574];
+ vX_[3955] = 0 - vX_[3935];
+ vX_[3956] = 0 - vX_[3937];
+ vX_[3957] = 0 - vX_[3939];
+ vX_[3958] = 0 - vX_[3941];
+ vX_[3959] = 0 - vX_[3943];
+ vX_[3960] = 0 - vX_[3948];
+ vX_[3961] = 0 - vX_[3939];
+ vX_[3962] = 0 - vX_[3941];
+ vX_[3963] = 0 - vX_[3943];
+ vX_[3964] = vX_[3961] * vX_[273] + vX_[3962] * vX_[1394] + vX_[3963] * vX_[1399];
+ vX_[3965] = vX_[3955] * vX_[1437] + vX_[3956] * vX_[1440] + vX_[3957] * vX_[1580] + vX_[3958] * vX_[1586] +
+ vX_[3959] * vX_[1591] + vX_[3960] * vX_[1596] + vX_[3964] * vX_[1449];
+ vX_[3966] = vX_[3965] * vX_[1609];
+ vX_[3967] = 0 - vX_[3954] - vX_[3966];
+ vX_[3968] = vX_[3953] * vX_[1605];
+ vX_[3969] = 0 - vX_[3924];
+ vX_[3970] = 0 - vX_[3935];
+ vX_[3971] = 0 - vX_[3937];
+ vX_[3972] = 0 - vX_[3939];
+ vX_[3973] = 0 - vX_[3941];
+ vX_[3974] = 0 - vX_[3943];
+ vX_[3975] = 0 - vX_[3964];
+ vX_[3976] = vX_[3969] * vX_[354] + vX_[3970] * vX_[1426] + vX_[3971] * vX_[1430] + vX_[3972] * vX_[1631] +
+ vX_[3973] * vX_[1639] + vX_[3974] * vX_[1647] + vX_[3975] * vX_[1435] + vX_[3951] * vX_[1596];
+ vX_[3977] = vX_[3976] * vX_[1574];
+ vX_[3978] = vX_[3968] + vX_[3977];
+ vX_[3979] = vX_[3965] * vX_[1605];
+ vX_[3980] = vX_[3976] * vX_[1609];
+ vX_[3981] = vX_[3979] + vX_[3980];
+ vX_[3982] = vX_[3965] * vX_[1574];
+ vX_[3983] = vX_[3953] * vX_[1609];
+ vX_[3984] = vX_[3982] - vX_[3983];
+ vX_[3967] = vX_[3967] * vX_[1624] +
+ (vX_[3967] * vX_[1623] + vX_[3978] * vX_[1654] + vX_[3981] * vX_[1658] + vX_[3984] * vX_[1662]) * 2.;
+ vX_[3980] = 0 - vX_[3979] + vX_[3980];
+ vX_[3977] = vX_[3968] - vX_[3977];
+ vX_[3984] = vX_[3984] * vX_[1624] + vX_[3980] * vX_[1655] + vX_[3977] * vX_[1519];
+ vX_[3968] = 0 - vX_[3984];
+ vX_[3979] = vX_[3967] * vX_[1622] + vX_[3968] * vX_[1618];
+ vX_[3985] = vX_[3976] * vX_[1605];
+ vX_[3966] = 0 - vX_[3985] - vX_[3966];
+ vX_[3983] = vX_[3982] + vX_[3983];
+ vX_[3966] = vX_[3978] * vX_[1624] + vX_[3966] * vX_[1655] +
+ (vX_[3966] * vX_[1654] + vX_[3983] * vX_[1658] + vX_[3980] * vX_[1662]) * 2.;
+ vX_[3980] = 0 - vX_[3966];
+ vX_[3985] = 0 - vX_[3985] - vX_[3954];
+ vX_[3985] = vX_[3981] * vX_[1624] + vX_[3983] * vX_[1655] + vX_[3985] * vX_[1519] +
+ (vX_[3985] * vX_[1658] + vX_[3977] * vX_[1662]) * 2.;
+ vX_[3983] = vX_[3980] * vX_[1618] + vX_[3985] * vX_[1622];
+ vX_[3977] = vX_[3966] * vX_[1622] + vX_[3985] * vX_[1618];
+ vX_[3981] = vX_[3967] * vX_[1618] + vX_[3984] * vX_[1622];
+ vX_[3954] = vX_[2917] * vX_[473] + vX_[3745] * vX_[1651] + vX_[3752] * vX_[488] + vX_[3757] * vX_[486] +
+ vX_[3763] * vX_[1659];
+ vX_[3978] = vX_[3763] * -1;
+ vX_[3982] = vX_[3750] * -1 + vX_[3752] * 0.207;
+ vX_[3986] = vX_[3982] * 1 / vX_[470];
+ vX_[3987] = vX_[3954] * 1 / vX_[470];
+ vX_[3988] = vX_[2917] * vX_[1671] + vX_[3745] * vX_[1672] + vX_[3752] * vX_[1673] + vX_[3757] * vX_[1674] +
+ vX_[3763] * vX_[392];
+ vX_[3989] = vX_[3988] * 1 / vX_[470];
+ vX_[3990] = vX_[3978] * 1 / vX_[470];
+ vX_[3991] = vX_[3752] * vX_[473] + vX_[3757] * vX_[487];
+ vX_[3992] = vX_[3991] * 1 / vX_[470];
+ vX_[3993] = vX_[3752] * vX_[487] + vX_[3757] * vX_[485];
+ vX_[3994] = vX_[3993] * 1 / vX_[470];
+ vX_[3978] = vX_[3978] - (vX_[3986] * vX_[482] + vX_[3987] * vX_[444] + vX_[3989] * vX_[434] + vX_[3990] * vX_[470] +
+ vX_[3992] * vX_[496] + vX_[3994] * vX_[505]);
+ vX_[3995] = vX_[3954] * -1 + vX_[3978] * -0.08;
+ vX_[3996] = vX_[3978] * vX_[421] + vX_[3993] * vX_[433];
+ vX_[3997] = vX_[3995] + vX_[3996] * -0.35;
+ vX_[3998] = 0 - vX_[3997];
+ vX_[3999] = vX_[3982] * vX_[421] + vX_[3988] * vX_[1686] + vX_[3991] * vX_[1687];
+ vX_[4000] = vX_[3982] * vX_[394] + vX_[3988] * vX_[421] + vX_[3991] * vX_[439];
+ vX_[4001] = vX_[3991] * -1;
+ vX_[4002] = vX_[3999] * 1 / vX_[418];
+ vX_[4003] = vX_[4000] * 1 / vX_[418];
+ vX_[4004] = vX_[4001] * 1 / vX_[418];
+ vX_[4005] = vX_[3996] * 1 / vX_[418];
+ vX_[4006] = vX_[3978] * vX_[394] + vX_[3993] * vX_[421];
+ vX_[4007] = vX_[4006] * 1 / vX_[418];
+ vX_[4001] = vX_[4001] - (vX_[4002] * vX_[428] + vX_[4003] * vX_[416] + vX_[4004] * vX_[418] + vX_[4005] * vX_[424] +
+ vX_[4007] * vX_[406]);
+ vX_[4008] = vX_[3999] * vX_[395] + vX_[4000] * vX_[1690] + vX_[4001] * vX_[1698];
+ vX_[4009] = 0 - vX_[4008];
+ vX_[4010] = vX_[3999] * vX_[397] + vX_[4000] * vX_[395] + vX_[4001] * vX_[400];
+ vX_[4011] = 0 - vX_[4010];
+ vX_[4012] = vX_[4001] - (vX_[4008] * 38.1956380581338 * 0.1104774 + vX_[4010] * 38.1956380581338 * -0.0004405 +
+ vX_[4001] * 38.1956380581338 * 0.026181);
+ vX_[4013] = 0 - vX_[4012];
+ vX_[4014] = vX_[3996] * vX_[395] + vX_[4006] * vX_[398];
+ vX_[4015] = 0 - vX_[4014];
+ vX_[4016] = vX_[3996] * vX_[397] + vX_[4006] * vX_[395];
+ vX_[4017] = 0 - vX_[4016];
+ vX_[4018] = 0 - vX_[4012];
+ vX_[4019] = 0 - vX_[4014];
+ vX_[4020] = 0 - vX_[4016];
+ vX_[4021] = vX_[4018] * vX_[1734] + vX_[4019] * vX_[1739] + vX_[4020] * vX_[1743];
+ vX_[4022] = 0 - vX_[4014];
+ vX_[4023] = 0 - vX_[4016];
+ vX_[4024] = vX_[4022] * vX_[1749] + vX_[4023] * vX_[1753];
+ vX_[4025] = 0 - vX_[4024];
+ vX_[4026] = vX_[3998] * vX_[391] + vX_[4009] * vX_[1705] + vX_[4011] * vX_[1710] + vX_[4013] * vX_[1714] +
+ vX_[4015] * vX_[1723] + vX_[4017] * vX_[1732] + vX_[4021] * vX_[1747] + vX_[4025] * vX_[1761];
+ vX_[4027] = vX_[4026] * vX_[1887];
+ vX_[4028] = 0 - vX_[4008];
+ vX_[4029] = 0 - vX_[4010];
+ vX_[4030] = 0 - vX_[4012];
+ vX_[4031] = 0 - vX_[4014];
+ vX_[4032] = 0 - vX_[4016];
+ vX_[4033] = 0 - vX_[4021];
+ vX_[4034] = 0 - vX_[4012];
+ vX_[4035] = 0 - vX_[4014];
+ vX_[4036] = 0 - vX_[4016];
+ vX_[4037] = vX_[4034] * vX_[391] + vX_[4035] * vX_[1704] + vX_[4036] * vX_[1708];
+ vX_[4038] = vX_[4028] * vX_[1749] + vX_[4029] * vX_[1752] + vX_[4030] * vX_[1893] + vX_[4031] * vX_[1899] +
+ vX_[4032] * vX_[1904] + vX_[4033] * vX_[1911] + vX_[4037] * vX_[1761];
+ vX_[4039] = vX_[4038] * vX_[1923];
+ vX_[4040] = 0 - vX_[4027] - vX_[4039];
+ vX_[4041] = vX_[4026] * vX_[1919];
+ vX_[4042] = 0 - vX_[3997];
+ vX_[4043] = 0 - vX_[4008];
+ vX_[4044] = 0 - vX_[4010];
+ vX_[4045] = 0 - vX_[4012];
+ vX_[4046] = 0 - vX_[4014];
+ vX_[4047] = 0 - vX_[4016];
+ vX_[4048] = 0 - vX_[4037];
+ vX_[4049] = vX_[4042] * vX_[1940] + vX_[4043] * vX_[1737] + vX_[4044] * vX_[1742] + vX_[4045] * vX_[1947] +
+ vX_[4046] * vX_[1955] + vX_[4047] * vX_[1963] + vX_[4048] * vX_[1747] + vX_[4024] * vX_[1911];
+ vX_[4050] = vX_[4049] * vX_[1887];
+ vX_[4051] = vX_[4041] + vX_[4050];
+ vX_[4052] = vX_[4038] * vX_[1919];
+ vX_[4053] = vX_[4049] * vX_[1923];
+ vX_[4054] = vX_[4052] + vX_[4053];
+ vX_[4055] = vX_[4038] * vX_[1887];
+ vX_[4056] = vX_[4026] * vX_[1923];
+ vX_[4057] = vX_[4055] - vX_[4056];
+ vX_[4040] = vX_[4040] * vX_[1938] +
+ (vX_[4040] * vX_[1937] + vX_[4051] * vX_[1970] + vX_[4054] * vX_[1974] + vX_[4057] * vX_[1978]) * 2.;
+ vX_[4053] = 0 - vX_[4052] + vX_[4053];
+ vX_[4050] = vX_[4041] - vX_[4050];
+ vX_[4057] = vX_[4057] * vX_[1938] + vX_[4053] * vX_[1971] + vX_[4050] * vX_[1829];
+ vX_[4041] = 0 - vX_[4057];
+ vX_[4052] = vX_[4040] * vX_[1936] + vX_[4041] * vX_[1932];
+ vX_[4058] = vX_[4049] * vX_[1919];
+ vX_[4039] = 0 - vX_[4058] - vX_[4039];
+ vX_[4056] = vX_[4055] + vX_[4056];
+ vX_[4039] = vX_[4051] * vX_[1938] + vX_[4039] * vX_[1971] +
+ (vX_[4039] * vX_[1970] + vX_[4056] * vX_[1974] + vX_[4053] * vX_[1978]) * 2.;
+ vX_[4053] = 0 - vX_[4039];
+ vX_[4058] = 0 - vX_[4058] - vX_[4027];
+ vX_[4058] = vX_[4054] * vX_[1938] + vX_[4056] * vX_[1971] + vX_[4058] * vX_[1829] +
+ (vX_[4058] * vX_[1974] + vX_[4050] * vX_[1978]) * 2.;
+ vX_[4056] = vX_[4053] * vX_[1932] + vX_[4058] * vX_[1936];
+ vX_[4050] = vX_[4039] * vX_[1936] + vX_[4058] * vX_[1932];
+ vX_[4054] = vX_[4040] * vX_[1932] + vX_[4057] * vX_[1936];
+ vX_[4027] = vX_[3830] * vX_[1982] + vX_[3807] * vX_[1985] + vX_[3819] * vX_[1988];
+ vX_[4051] = vX_[4027] * vX_[950] * -1000.;
+ vX_[4055] = vX_[4051] * vX_[872];
+ vX_[4059] = vX_[3830] * vX_[1994] + vX_[3807] * vX_[1987] + vX_[3819] * vX_[1983];
+ vX_[4060] = vX_[4059] * vX_[950] * -1000.;
+ vX_[4061] = vX_[4060] * vX_[891];
+ vX_[4062] = 0 - vX_[4055] - vX_[4061];
+ vX_[3830] = vX_[3830] * vX_[1986] + vX_[3807] * vX_[1975] + vX_[3819] * vX_[1993];
+ vX_[3819] = vX_[3830] * vX_[950] * -1000.;
+ vX_[3807] = vX_[3819] * vX_[872];
+ vX_[4063] = vX_[4051] * vX_[909];
+ vX_[4064] = vX_[3807] + vX_[4063];
+ vX_[4065] = vX_[3819] * vX_[891];
+ vX_[4066] = vX_[4060] * vX_[909];
+ vX_[4067] = vX_[4065] + vX_[4066];
+ vX_[4068] = vX_[4051] * vX_[891];
+ vX_[4069] = vX_[4060] * vX_[872];
+ vX_[4070] = vX_[4068] - vX_[4069];
+ vX_[4062] = vX_[4062] * vX_[838] +
+ (vX_[4062] * vX_[837] + vX_[4064] * vX_[873] + vX_[4067] * vX_[842] + vX_[4070] * vX_[876]) * 2.;
+ vX_[4066] = 0 - vX_[4065] + vX_[4066];
+ vX_[4063] = vX_[3807] - vX_[4063];
+ vX_[4070] = vX_[4070] * vX_[838] + vX_[4066] * vX_[874] + vX_[4063] * vX_[843];
+ vX_[3807] = 0 - vX_[4070];
+ vX_[4065] = vX_[4062] * vX_[836] + vX_[3807] * vX_[832];
+ vX_[4071] = vX_[3819] * vX_[909];
+ vX_[4061] = 0 - vX_[4071] - vX_[4061];
+ vX_[4069] = vX_[4068] + vX_[4069];
+ vX_[4061] = vX_[4064] * vX_[838] + vX_[4061] * vX_[874] +
+ (vX_[4061] * vX_[873] + vX_[4069] * vX_[842] + vX_[4066] * vX_[876]) * 2.;
+ vX_[4066] = 0 - vX_[4061];
+ vX_[4071] = 0 - vX_[4071] - vX_[4055];
+ vX_[4071] = vX_[4067] * vX_[838] + vX_[4069] * vX_[874] + vX_[4071] * vX_[843] +
+ (vX_[4071] * vX_[842] + vX_[4063] * vX_[876]) * 2.;
+ vX_[4069] = vX_[4066] * vX_[832] + vX_[4071] * vX_[836];
+ vX_[4063] = vX_[4061] * vX_[836] + vX_[4071] * vX_[832];
+ vX_[4067] = vX_[4062] * vX_[832] + vX_[4070] * vX_[836];
+ vX_[3830] = vX_[3830] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[3830] * vX_[844] + vX_[4027] * vX_[910] + vX_[4059] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[4059] = vX_[3830] * vX_[935];
+ vX_[4027] = vX_[3830] * vX_[939];
+ vX_[4055] = (vX_[4059] * vX_[925] + vX_[4027] * vX_[926]) * 2.;
+ vX_[4064] = 0 - vX_[4027];
+ vX_[4068] = vX_[4064] * vX_[936] + vX_[4059] * vX_[927];
+ vX_[4072] = 0 - vX_[4068];
+ vX_[4073] = vX_[4055] * vX_[921] + vX_[4072] * vX_[917];
+ vX_[4074] = vX_[3830] * vX_[946];
+ vX_[4075] = 0 - vX_[4074];
+ vX_[4075] = vX_[4059] * vX_[922] + vX_[4075] * vX_[936] + (vX_[4075] * vX_[925] + vX_[4064] * vX_[928]) * 2.;
+ vX_[4064] = 0 - vX_[4075];
+ vX_[4074] = 0 - vX_[4074];
+ vX_[4074] = vX_[4027] * vX_[922] + vX_[4074] * vX_[927] + (vX_[4074] * vX_[926] + vX_[4059] * vX_[928]) * 2.;
+ vX_[4027] = vX_[4064] * vX_[917] + vX_[4074] * vX_[921];
+ vX_[4059] = vX_[4075] * vX_[921] + vX_[4074] * vX_[917];
+ vX_[4076] = vX_[4055] * vX_[917] + vX_[4068] * vX_[921];
+ vX_[4077] = vX_[3903] * vX_[2014] + vX_[3880] * vX_[2017] + vX_[3892] * vX_[2020];
+ vX_[4078] = vX_[4077] * vX_[1261] * -1000.;
+ vX_[4079] = vX_[4078] * vX_[1189];
+ vX_[4080] = vX_[3903] * vX_[2026] + vX_[3880] * vX_[2019] + vX_[3892] * vX_[2015];
+ vX_[4081] = vX_[4080] * vX_[1261] * -1000.;
+ vX_[4082] = vX_[4081] * vX_[1207];
+ vX_[4083] = 0 - vX_[4079] - vX_[4082];
+ vX_[3903] = vX_[3903] * vX_[2018] + vX_[3880] * vX_[2013] + vX_[3892] * vX_[2025];
+ vX_[3892] = vX_[3903] * vX_[1261] * -1000.;
+ vX_[3880] = vX_[3892] * vX_[1189];
+ vX_[4084] = vX_[4078] * vX_[1226];
+ vX_[4085] = vX_[3880] + vX_[4084];
+ vX_[4086] = vX_[3892] * vX_[1207];
+ vX_[4087] = vX_[4081] * vX_[1226];
+ vX_[4088] = vX_[4086] + vX_[4087];
+ vX_[4089] = vX_[4078] * vX_[1207];
+ vX_[4090] = vX_[4081] * vX_[1189];
+ vX_[4091] = vX_[4089] - vX_[4090];
+ vX_[4083] = vX_[4083] * vX_[1152] +
+ (vX_[4083] * vX_[1151] + vX_[4085] * vX_[1190] + vX_[4088] * vX_[1156] + vX_[4091] * vX_[1193]) * 2.;
+ vX_[4087] = 0 - vX_[4086] + vX_[4087];
+ vX_[4084] = vX_[3880] - vX_[4084];
+ vX_[4091] = vX_[4091] * vX_[1152] + vX_[4087] * vX_[1191] + vX_[4084] * vX_[1157];
+ vX_[3880] = 0 - vX_[4091];
+ vX_[4086] = vX_[4083] * vX_[1150] + vX_[3880] * vX_[1146];
+ vX_[4092] = vX_[3892] * vX_[1226];
+ vX_[4082] = 0 - vX_[4092] - vX_[4082];
+ vX_[4090] = vX_[4089] + vX_[4090];
+ vX_[4082] = vX_[4085] * vX_[1152] + vX_[4082] * vX_[1191] +
+ (vX_[4082] * vX_[1190] + vX_[4090] * vX_[1156] + vX_[4087] * vX_[1193]) * 2.;
+ vX_[4087] = 0 - vX_[4082];
+ vX_[4092] = 0 - vX_[4092] - vX_[4079];
+ vX_[4092] = vX_[4088] * vX_[1152] + vX_[4090] * vX_[1191] + vX_[4092] * vX_[1157] +
+ (vX_[4092] * vX_[1156] + vX_[4084] * vX_[1193]) * 2.;
+ vX_[4090] = vX_[4087] * vX_[1146] + vX_[4092] * vX_[1150];
+ vX_[4084] = vX_[4082] * vX_[1150] + vX_[4092] * vX_[1146];
+ vX_[4088] = vX_[4083] * vX_[1146] + vX_[4091] * vX_[1150];
+ vX_[3903] =
+ vX_[3903] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[3903] * vX_[1158] + vX_[4077] * vX_[1227] + vX_[4080] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[4080] = vX_[3903] * vX_[1250];
+ vX_[4077] = vX_[3903] * vX_[1181];
+ vX_[4079] = (vX_[4080] * vX_[1242] + vX_[4077] * vX_[1243]) * 2.;
+ vX_[4085] = 0 - vX_[4077];
+ vX_[4089] = vX_[4085] * vX_[1251] + vX_[4080] * vX_[1244];
+ vX_[4093] = 0 - vX_[4089];
+ vX_[4094] = vX_[4079] * vX_[1238] + vX_[4093] * vX_[1234];
+ vX_[4095] = vX_[3903] * vX_[1257];
+ vX_[4096] = 0 - vX_[4095];
+ vX_[4096] = vX_[4080] * vX_[1239] + vX_[4096] * vX_[1251] + (vX_[4096] * vX_[1242] + vX_[4085] * vX_[1245]) * 2.;
+ vX_[4085] = 0 - vX_[4096];
+ vX_[4095] = 0 - vX_[4095];
+ vX_[4095] = vX_[4077] * vX_[1239] + vX_[4095] * vX_[1244] + (vX_[4095] * vX_[1243] + vX_[4080] * vX_[1245]) * 2.;
+ vX_[4077] = vX_[4085] * vX_[1234] + vX_[4095] * vX_[1238];
+ vX_[4080] = vX_[4096] * vX_[1238] + vX_[4095] * vX_[1234];
+ vX_[4097] = vX_[4079] * vX_[1234] + vX_[4089] * vX_[1238];
+ vX_[4098] = vX_[3976] * vX_[2046] + vX_[3953] * vX_[2049] + vX_[3965] * vX_[2052];
+ vX_[4099] = vX_[4098] * vX_[1573] * -1000.;
+ vX_[4100] = vX_[4099] * vX_[1499];
+ vX_[4101] = vX_[3976] * vX_[2058] + vX_[3953] * vX_[2051] + vX_[3965] * vX_[2047];
+ vX_[4102] = vX_[4101] * vX_[1573] * -1000.;
+ vX_[4103] = vX_[4102] * vX_[1518];
+ vX_[4104] = 0 - vX_[4100] - vX_[4103];
+ vX_[3976] = vX_[3976] * vX_[2050] + vX_[3953] * vX_[2045] + vX_[3965] * vX_[2057];
+ vX_[3965] = vX_[3976] * vX_[1573] * -1000.;
+ vX_[3953] = vX_[3965] * vX_[1499];
+ vX_[4105] = vX_[4099] * vX_[1536];
+ vX_[4106] = vX_[3953] + vX_[4105];
+ vX_[4107] = vX_[3965] * vX_[1518];
+ vX_[4108] = vX_[4102] * vX_[1536];
+ vX_[4109] = vX_[4107] + vX_[4108];
+ vX_[4110] = vX_[4099] * vX_[1518];
+ vX_[4111] = vX_[4102] * vX_[1499];
+ vX_[4112] = vX_[4110] - vX_[4111];
+ vX_[4104] = vX_[4104] * vX_[1463] +
+ (vX_[4104] * vX_[1462] + vX_[4106] * vX_[1500] + vX_[4109] * vX_[1467] + vX_[4112] * vX_[1503]) * 2.;
+ vX_[4108] = 0 - vX_[4107] + vX_[4108];
+ vX_[4105] = vX_[3953] - vX_[4105];
+ vX_[4112] = vX_[4112] * vX_[1463] + vX_[4108] * vX_[1501] + vX_[4105] * vX_[1468];
+ vX_[3953] = 0 - vX_[4112];
+ vX_[4107] = vX_[4104] * vX_[1461] + vX_[3953] * vX_[1457];
+ vX_[4113] = vX_[3965] * vX_[1536];
+ vX_[4103] = 0 - vX_[4113] - vX_[4103];
+ vX_[4111] = vX_[4110] + vX_[4111];
+ vX_[4103] = vX_[4106] * vX_[1463] + vX_[4103] * vX_[1501] +
+ (vX_[4103] * vX_[1500] + vX_[4111] * vX_[1467] + vX_[4108] * vX_[1503]) * 2.;
+ vX_[4108] = 0 - vX_[4103];
+ vX_[4113] = 0 - vX_[4113] - vX_[4100];
+ vX_[4113] = vX_[4109] * vX_[1463] + vX_[4111] * vX_[1501] + vX_[4113] * vX_[1468] +
+ (vX_[4113] * vX_[1467] + vX_[4105] * vX_[1503]) * 2.;
+ vX_[4111] = vX_[4108] * vX_[1457] + vX_[4113] * vX_[1461];
+ vX_[4105] = vX_[4103] * vX_[1461] + vX_[4113] * vX_[1457];
+ vX_[4109] = vX_[4104] * vX_[1457] + vX_[4112] * vX_[1461];
+ vX_[3976] =
+ vX_[3976] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[3976] * vX_[1469] + vX_[4098] * vX_[1537] + vX_[4101] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[4101] = vX_[3976] * vX_[1560];
+ vX_[4098] = vX_[3976] * vX_[1491];
+ vX_[4100] = (vX_[4101] * vX_[1552] + vX_[4098] * vX_[1553]) * 2.;
+ vX_[4106] = 0 - vX_[4098];
+ vX_[4110] = vX_[4106] * vX_[1561] + vX_[4101] * vX_[1554];
+ vX_[4114] = 0 - vX_[4110];
+ vX_[4115] = vX_[4100] * vX_[1548] + vX_[4114] * vX_[1544];
+ vX_[4116] = vX_[3976] * vX_[1569];
+ vX_[4117] = 0 - vX_[4116];
+ vX_[4117] = vX_[4101] * vX_[1549] + vX_[4117] * vX_[1561] + (vX_[4117] * vX_[1552] + vX_[4106] * vX_[1555]) * 2.;
+ vX_[4106] = 0 - vX_[4117];
+ vX_[4116] = 0 - vX_[4116];
+ vX_[4116] = vX_[4098] * vX_[1549] + vX_[4116] * vX_[1554] + (vX_[4116] * vX_[1553] + vX_[4101] * vX_[1555]) * 2.;
+ vX_[4098] = vX_[4106] * vX_[1544] + vX_[4116] * vX_[1548];
+ vX_[4101] = vX_[4117] * vX_[1548] + vX_[4116] * vX_[1544];
+ vX_[4118] = vX_[4100] * vX_[1544] + vX_[4110] * vX_[1548];
+ vX_[4119] = vX_[4049] * vX_[2078] + vX_[4026] * vX_[2081] + vX_[4038] * vX_[2084];
+ vX_[4120] = vX_[4119] * vX_[1886] * -1000.;
+ vX_[4121] = vX_[4120] * vX_[1809];
+ vX_[4122] = vX_[4049] * vX_[2090] + vX_[4026] * vX_[2083] + vX_[4038] * vX_[2079];
+ vX_[4123] = vX_[4122] * vX_[1886] * -1000.;
+ vX_[4124] = vX_[4123] * vX_[1828];
+ vX_[4125] = 0 - vX_[4121] - vX_[4124];
+ vX_[4049] = vX_[4049] * vX_[2082] + vX_[4026] * vX_[2077] + vX_[4038] * vX_[2089];
+ vX_[4038] = vX_[4049] * vX_[1886] * -1000.;
+ vX_[4026] = vX_[4038] * vX_[1809];
+ vX_[4126] = vX_[4120] * vX_[1846];
+ vX_[4127] = vX_[4026] + vX_[4126];
+ vX_[4128] = vX_[4038] * vX_[1828];
+ vX_[4129] = vX_[4123] * vX_[1846];
+ vX_[4130] = vX_[4128] + vX_[4129];
+ vX_[4131] = vX_[4120] * vX_[1828];
+ vX_[4132] = vX_[4123] * vX_[1809];
+ vX_[4133] = vX_[4131] - vX_[4132];
+ vX_[4125] = vX_[4125] * vX_[1775] +
+ (vX_[4125] * vX_[1774] + vX_[4127] * vX_[1810] + vX_[4130] * vX_[1779] + vX_[4133] * vX_[1813]) * 2.;
+ vX_[4129] = 0 - vX_[4128] + vX_[4129];
+ vX_[4126] = vX_[4026] - vX_[4126];
+ vX_[4133] = vX_[4133] * vX_[1775] + vX_[4129] * vX_[1811] + vX_[4126] * vX_[1780];
+ vX_[4026] = 0 - vX_[4133];
+ vX_[4128] = vX_[4125] * vX_[1773] + vX_[4026] * vX_[1769];
+ vX_[4134] = vX_[4038] * vX_[1846];
+ vX_[4124] = 0 - vX_[4134] - vX_[4124];
+ vX_[4132] = vX_[4131] + vX_[4132];
+ vX_[4124] = vX_[4127] * vX_[1775] + vX_[4124] * vX_[1811] +
+ (vX_[4124] * vX_[1810] + vX_[4132] * vX_[1779] + vX_[4129] * vX_[1813]) * 2.;
+ vX_[4129] = 0 - vX_[4124];
+ vX_[4134] = 0 - vX_[4134] - vX_[4121];
+ vX_[4134] = vX_[4130] * vX_[1775] + vX_[4132] * vX_[1811] + vX_[4134] * vX_[1780] +
+ (vX_[4134] * vX_[1779] + vX_[4126] * vX_[1813]) * 2.;
+ vX_[4132] = vX_[4129] * vX_[1769] + vX_[4134] * vX_[1773];
+ vX_[4126] = vX_[4124] * vX_[1773] + vX_[4134] * vX_[1769];
+ vX_[4130] = vX_[4125] * vX_[1769] + vX_[4133] * vX_[1773];
+ vX_[4049] =
+ vX_[4049] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[4049] * vX_[1781] + vX_[4119] * vX_[1847] + vX_[4122] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[203] = vX_[3830] + vX_[3903] + vX_[3976] + vX_[4049];
+ vX_[4122] = vX_[4049] * vX_[1870];
+ vX_[4119] = vX_[4049] * vX_[1875];
+ vX_[4121] = (vX_[4122] * vX_[1862] + vX_[4119] * vX_[1863]) * 2.;
+ vX_[4127] = 0 - vX_[4119];
+ vX_[4131] = vX_[4127] * vX_[1871] + vX_[4122] * vX_[1864];
+ vX_[4135] = 0 - vX_[4131];
+ vX_[4136] = vX_[4121] * vX_[1858] + vX_[4135] * vX_[1854];
+ vX_[4137] = vX_[4049] * vX_[1882];
+ vX_[4138] = 0 - vX_[4137];
+ vX_[4138] = vX_[4122] * vX_[1859] + vX_[4138] * vX_[1871] + (vX_[4138] * vX_[1862] + vX_[4127] * vX_[1865]) * 2.;
+ vX_[4127] = 0 - vX_[4138];
+ vX_[4137] = 0 - vX_[4137];
+ vX_[4137] = vX_[4119] * vX_[1859] + vX_[4137] * vX_[1864] + (vX_[4137] * vX_[1863] + vX_[4122] * vX_[1865]) * 2.;
+ vX_[4119] = vX_[4127] * vX_[1854] + vX_[4137] * vX_[1858];
+ vX_[4122] = vX_[4138] * vX_[1858] + vX_[4137] * vX_[1854];
+ vX_[4139] = vX_[4121] * vX_[1854] + vX_[4131] * vX_[1858];
+ jac[23] = (vX_[2922] * vX_[2914] * vX_[2937] - vX_[2921] * vX_[2919] * vX_[2911]) * 0.5 +
+ ((vX_[3833] * vX_[999] + vX_[3837] * vX_[994]) * vX_[1029] -
+ (vX_[3831] * vX_[999] + vX_[3835] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[3906] * vX_[1308] + vX_[3910] * vX_[1303]) * vX_[1340] -
+ (vX_[3904] * vX_[1308] + vX_[3908] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[3979] * vX_[1620] + vX_[3983] * vX_[1615]) * vX_[1650] -
+ (vX_[3977] * vX_[1620] + vX_[3981] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[4052] * vX_[1934] + vX_[4056] * vX_[1929]) * vX_[1966] -
+ (vX_[4050] * vX_[1934] + vX_[4054] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[4065] * vX_[834] + vX_[4069] * vX_[829]) * vX_[1992] -
+ (vX_[4063] * vX_[834] + vX_[4067] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[4073] * vX_[919] + vX_[4027] * vX_[914]) * vX_[1995] -
+ (vX_[4059] * vX_[919] + vX_[4076] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[4086] * vX_[1148] + vX_[4090] * vX_[1143]) * vX_[2024] -
+ (vX_[4084] * vX_[1148] + vX_[4088] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[4094] * vX_[1236] + vX_[4077] * vX_[1231]) * vX_[2027] -
+ (vX_[4080] * vX_[1236] + vX_[4097] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[4107] * vX_[1459] + vX_[4111] * vX_[1454]) * vX_[2056] -
+ (vX_[4105] * vX_[1459] + vX_[4109] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[4115] * vX_[1546] + vX_[4098] * vX_[1541]) * vX_[2059] -
+ (vX_[4101] * vX_[1546] + vX_[4118] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[4128] * vX_[1771] + vX_[4132] * vX_[1766]) * vX_[2088] -
+ (vX_[4126] * vX_[1771] + vX_[4130] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[4136] * vX_[1856] + vX_[4119] * vX_[1851]) * vX_[2091] -
+ (vX_[4122] * vX_[1856] + vX_[4139] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[2911] = 1 / vX_[470];
+ vX_[2937] = 0 - vX_[2911];
+ vX_[2919] = vX_[2937] * vX_[444];
+ vX_[2914] = 0 - vX_[2911];
+ vX_[4140] = vX_[2914] * vX_[434];
+ vX_[4141] = 0 - vX_[2911];
+ vX_[4142] = vX_[2919] * vX_[1659] + vX_[4140] * vX_[392] + vX_[4141] * vX_[470] * -1;
+ vX_[4143] = 0 - vX_[2911];
+ vX_[4144] = vX_[4143] * vX_[496];
+ vX_[4145] = 0 - vX_[2911];
+ vX_[4146] = vX_[4145] * vX_[505];
+ vX_[4147] = 0 - (vX_[2919] * vX_[486] + vX_[4140] * vX_[1674] + vX_[4144] * vX_[487] + vX_[4146] * vX_[485]) +
+ vX_[4142] * vX_[637];
+ vX_[4148] = 0 - vX_[4147];
+ vX_[4149] = 0 - vX_[2911];
+ vX_[4150] = vX_[4149] * vX_[482];
+ vX_[4151] = 0 - vX_[4147];
+ vX_[4152] = 0 - (vX_[4150] * 0.207 + vX_[2919] * vX_[488] + vX_[4140] * vX_[1673] + vX_[4144] * vX_[473] +
+ vX_[4146] * vX_[487]) +
+ vX_[4142] * vX_[624] + vX_[4151] * vX_[668];
+ vX_[4153] = 0 - vX_[4152];
+ vX_[4154] = 0 - vX_[4147];
+ vX_[4155] = 0 - vX_[4152];
+ vX_[4150] = 0 - vX_[4150] * -1 + vX_[4142] * vX_[590] + vX_[4154] * vX_[666] + vX_[4155] * vX_[664];
+ vX_[4156] = 0 - vX_[4150];
+ vX_[4157] = 0 - vX_[4147];
+ vX_[4158] = 0 - vX_[4152];
+ vX_[4159] = 0 - vX_[4150];
+ vX_[4160] = 0 - (vX_[2919] * vX_[1651] + vX_[4140] * vX_[1672]) + vX_[4142] * vX_[723] + vX_[4157] * vX_[725] +
+ vX_[4158] * vX_[731] + vX_[4159] * vX_[737];
+ vX_[4161] = 0 - vX_[4160];
+ vX_[4162] = (0 - (vX_[2919] * vX_[473] + vX_[4140] * vX_[1671]) + vX_[4142] * vX_[620] + vX_[4148] * vX_[602] +
+ vX_[4153] * vX_[604] + vX_[4156] * vX_[722] + vX_[4161] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[4163] = 0 - vX_[4162];
+ vX_[4160] = (vX_[4160] + vX_[4163] * vX_[743]) * 1 / vX_[718];
+ vX_[4164] = 0 - vX_[4162];
+ vX_[4165] = 0 - vX_[4160];
+ vX_[4166] = 0 - vX_[4162];
+ vX_[4167] = 0 - vX_[4160];
+ vX_[4150] = (vX_[4150] + vX_[4166] * vX_[689] + vX_[4167] * vX_[736]) * 1 / vX_[721];
+ vX_[4168] = 0 - vX_[4150];
+ vX_[4152] = (vX_[4152] + vX_[4164] * vX_[682] + vX_[4165] * vX_[730] + vX_[4168] * vX_[509]) * 1 / vX_[618];
+ vX_[4169] = 0 - vX_[4162];
+ vX_[4170] = 0 - vX_[4160];
+ vX_[4171] = 0 - vX_[4150];
+ vX_[4172] = 0 - vX_[4152];
+ vX_[4147] =
+ (vX_[4147] + vX_[4169] * vX_[662] + vX_[4170] * vX_[633] + vX_[4171] * vX_[691] + vX_[4172] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[4173] = 0 - vX_[4162];
+ vX_[4174] = 0 - vX_[4160];
+ vX_[4175] = 0 - vX_[4150];
+ vX_[4176] = 0 - vX_[4152];
+ vX_[4177] = 0 - vX_[4147];
+ vX_[4178] = (0 - vX_[4142] + vX_[4173] * vX_[510] + vX_[4174] * vX_[518] + vX_[4175] * vX_[690] +
+ vX_[4176] * vX_[628] + vX_[4177] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4179] =
+ vX_[4162] * vX_[126] + vX_[4160] * vX_[1] + vX_[4152] * vX_[140] + vX_[4147] * vX_[138] + vX_[4178] * vX_[706];
+ vX_[4180] = vX_[4150] + vX_[4152] * 0.207;
+ vX_[4181] = vX_[4180] * 1 / vX_[123];
+ vX_[4182] = vX_[4179] * 1 / vX_[123];
+ vX_[4183] =
+ vX_[4162] * vX_[729] + vX_[4160] * vX_[126] + vX_[4152] * vX_[728] + vX_[4147] * vX_[727] + vX_[4178] * vX_[27];
+ vX_[4184] = vX_[4183] * 1 / vX_[123];
+ vX_[4185] = vX_[4178] * 1 / vX_[123];
+ vX_[4186] = vX_[4152] * vX_[126] + vX_[4147] * vX_[1];
+ vX_[4187] = vX_[4186] * 1 / vX_[123];
+ vX_[4188] = vX_[4152] * vX_[139] + vX_[4147] * vX_[126];
+ vX_[4189] = vX_[4188] * 1 / vX_[123];
+ vX_[4190] = vX_[4178] - (vX_[4181] * vX_[135] + vX_[4182] * vX_[97] + vX_[4184] * vX_[88] + vX_[4185] * vX_[123] +
+ vX_[4187] * vX_[148] + vX_[4189] * vX_[157]);
+ vX_[4191] = vX_[4179] + vX_[4190] * 0.08;
+ vX_[4192] = vX_[4190] * vX_[76] + vX_[4188] * vX_[4];
+ vX_[4193] = vX_[4191] + vX_[4192] * -0.35;
+ vX_[4194] = 0 - vX_[4193];
+ vX_[4195] = vX_[4180] * vX_[750] + vX_[4183] * vX_[751] + vX_[4186] * vX_[752];
+ vX_[4196] = vX_[4180] * vX_[754] + vX_[4183] * vX_[75] + vX_[4186] * vX_[93];
+ vX_[4197] = vX_[4195] * 1 / vX_[72];
+ vX_[4198] = vX_[4196] * 1 / vX_[72];
+ vX_[4199] = vX_[4186] * 1 / vX_[72];
+ vX_[4200] = vX_[4192] * 1 / vX_[72];
+ vX_[4201] = vX_[4190] * vX_[4] + vX_[4188] * vX_[75];
+ vX_[4202] = vX_[4201] * 1 / vX_[72];
+ vX_[4203] = vX_[4186] - (vX_[4197] * vX_[83] + vX_[4198] * vX_[70] + vX_[4199] * vX_[72] + vX_[4200] * vX_[79] +
+ vX_[4202] * vX_[60]);
+ vX_[4204] = vX_[4195] * vX_[7] + vX_[4196] * vX_[756] + vX_[4203] * vX_[764];
+ vX_[4205] = 0 - vX_[4204];
+ vX_[4206] = vX_[4195] * vX_[51] + vX_[4196] * vX_[7] + vX_[4203] * vX_[54];
+ vX_[4207] = 0 - vX_[4206];
+ vX_[4208] = vX_[4203] - (vX_[4204] * 38.1956380581338 * 0.1104774 + vX_[4206] * 38.1956380581338 * 0.0004405 +
+ vX_[4203] * 38.1956380581338 * 0.026181);
+ vX_[4209] = 0 - vX_[4208];
+ vX_[4210] = vX_[4192] * vX_[7] + vX_[4201] * vX_[52];
+ vX_[4211] = 0 - vX_[4210];
+ vX_[4212] = vX_[4192] * vX_[51] + vX_[4201] * vX_[7];
+ vX_[4213] = 0 - vX_[4212];
+ vX_[4214] = 0 - vX_[4208];
+ vX_[4215] = 0 - vX_[4210];
+ vX_[4216] = 0 - vX_[4212];
+ vX_[4217] = vX_[4214] * vX_[126] + vX_[4215] * vX_[803] + vX_[4216] * vX_[806];
+ vX_[4218] = 0 - vX_[4210];
+ vX_[4219] = 0 - vX_[4212];
+ vX_[4220] = vX_[4218] * vX_[812] + vX_[4219] * vX_[816];
+ vX_[4221] = 0 - vX_[4220];
+ vX_[4222] = vX_[4194] * vX_[1] + vX_[4205] * vX_[771] + vX_[4207] * vX_[776] + vX_[4209] * vX_[780] +
+ vX_[4211] * vX_[789] + vX_[4213] * vX_[797] + vX_[4217] * vX_[810] + vX_[4221] * vX_[824];
+ vX_[4223] = vX_[4222] * vX_[951];
+ vX_[4224] = 0 - vX_[4204];
+ vX_[4225] = 0 - vX_[4206];
+ vX_[4226] = 0 - vX_[4208];
+ vX_[4227] = 0 - vX_[4210];
+ vX_[4228] = 0 - vX_[4212];
+ vX_[4229] = 0 - vX_[4217];
+ vX_[4230] = 0 - vX_[4208];
+ vX_[4231] = 0 - vX_[4210];
+ vX_[4232] = 0 - vX_[4212];
+ vX_[4233] = vX_[4230] * vX_[1] + vX_[4231] * vX_[770] + vX_[4232] * vX_[775];
+ vX_[4234] = vX_[4224] * vX_[812] + vX_[4225] * vX_[815] + vX_[4226] * vX_[957] + vX_[4227] * vX_[963] +
+ vX_[4228] * vX_[968] + vX_[4229] * vX_[975] + vX_[4233] * vX_[824];
+ vX_[4235] = vX_[4234] * vX_[988];
+ vX_[4236] = 0 - vX_[4223] - vX_[4235];
+ vX_[4237] = vX_[4222] * vX_[984];
+ vX_[4238] = 0 - vX_[4193];
+ vX_[4239] = 0 - vX_[4204];
+ vX_[4240] = 0 - vX_[4206];
+ vX_[4241] = 0 - vX_[4208];
+ vX_[4242] = 0 - vX_[4210];
+ vX_[4243] = 0 - vX_[4212];
+ vX_[4244] = 0 - vX_[4233];
+ vX_[4245] = vX_[4238] * vX_[126] + vX_[4239] * vX_[801] + vX_[4240] * vX_[805] + vX_[4241] * vX_[1010] +
+ vX_[4242] * vX_[1018] + vX_[4243] * vX_[1026] + vX_[4244] * vX_[810] + vX_[4220] * vX_[975];
+ vX_[4246] = vX_[4245] * vX_[951];
+ vX_[4247] = vX_[4237] + vX_[4246];
+ vX_[4248] = vX_[4234] * vX_[984];
+ vX_[4249] = vX_[4245] * vX_[988];
+ vX_[4250] = vX_[4248] + vX_[4249];
+ vX_[4251] = vX_[4234] * vX_[951];
+ vX_[4252] = vX_[4222] * vX_[988];
+ vX_[4253] = vX_[4251] - vX_[4252];
+ vX_[4236] = vX_[4236] * vX_[1003] +
+ (vX_[4236] * vX_[1002] + vX_[4247] * vX_[1033] + vX_[4250] * vX_[1037] + vX_[4253] * vX_[1041]) * 2.;
+ vX_[4249] = 0 - vX_[4248] + vX_[4249];
+ vX_[4246] = vX_[4237] - vX_[4246];
+ vX_[4253] = vX_[4253] * vX_[1003] + vX_[4249] * vX_[1034] + vX_[4246] * vX_[892];
+ vX_[4237] = 0 - vX_[4253];
+ vX_[4248] = vX_[4236] * vX_[1001] + vX_[4237] * vX_[997];
+ vX_[4254] = vX_[4245] * vX_[984];
+ vX_[4235] = 0 - vX_[4254] - vX_[4235];
+ vX_[4252] = vX_[4251] + vX_[4252];
+ vX_[4235] = vX_[4247] * vX_[1003] + vX_[4235] * vX_[1034] +
+ (vX_[4235] * vX_[1033] + vX_[4252] * vX_[1037] + vX_[4249] * vX_[1041]) * 2.;
+ vX_[4249] = 0 - vX_[4235];
+ vX_[4254] = 0 - vX_[4254] - vX_[4223];
+ vX_[4254] = vX_[4250] * vX_[1003] + vX_[4252] * vX_[1034] + vX_[4254] * vX_[892] +
+ (vX_[4254] * vX_[1037] + vX_[4246] * vX_[1041]) * 2.;
+ vX_[4252] = vX_[4249] * vX_[997] + vX_[4254] * vX_[1001];
+ vX_[4246] = vX_[4235] * vX_[1001] + vX_[4254] * vX_[997];
+ vX_[4250] = vX_[4236] * vX_[997] + vX_[4253] * vX_[1001];
+ vX_[4223] = vX_[4162] * vX_[235] + vX_[4160] * vX_[1030] + vX_[4152] * vX_[250] + vX_[4147] * vX_[248] +
+ vX_[4178] * vX_[1038];
+ vX_[4247] = vX_[4178] * -1;
+ vX_[4251] = vX_[4150] * -1 + vX_[4152] * 0.207;
+ vX_[4255] = vX_[4251] * 1 / vX_[232];
+ vX_[4256] = vX_[4223] * 1 / vX_[232];
+ vX_[4257] = vX_[4162] * vX_[1050] + vX_[4160] * vX_[1051] + vX_[4152] * vX_[1052] + vX_[4147] * vX_[1053] +
+ vX_[4178] * vX_[164];
+ vX_[4258] = vX_[4257] * 1 / vX_[232];
+ vX_[4259] = vX_[4247] * 1 / vX_[232];
+ vX_[4260] = vX_[4152] * vX_[235] + vX_[4147] * vX_[249];
+ vX_[4261] = vX_[4260] * 1 / vX_[232];
+ vX_[4262] = vX_[4152] * vX_[249] + vX_[4147] * vX_[247];
+ vX_[4263] = vX_[4262] * 1 / vX_[232];
+ vX_[4247] = vX_[4247] - (vX_[4255] * vX_[244] + vX_[4256] * vX_[206] + vX_[4258] * vX_[196] + vX_[4259] * vX_[232] +
+ vX_[4261] * vX_[258] + vX_[4263] * vX_[267]);
+ vX_[4264] = vX_[4223] * -1 + vX_[4247] * -0.08;
+ vX_[4265] = vX_[4247] * vX_[186] + vX_[4262] * vX_[195];
+ vX_[4266] = vX_[4264] + vX_[4265] * -0.35;
+ vX_[4267] = 0 - vX_[4266];
+ vX_[4268] = vX_[4251] * vX_[186] + vX_[4257] * vX_[1065] + vX_[4260] * vX_[1066];
+ vX_[4269] = vX_[4251] * vX_[166] + vX_[4257] * vX_[186] + vX_[4260] * vX_[201];
+ vX_[4270] = vX_[4260] * -1;
+ vX_[4271] = vX_[4268] * 1 / vX_[183];
+ vX_[4272] = vX_[4269] * 1 / vX_[183];
+ vX_[4273] = vX_[4270] * 1 / vX_[183];
+ vX_[4274] = vX_[4265] * 1 / vX_[183];
+ vX_[4275] = vX_[4247] * vX_[166] + vX_[4262] * vX_[186];
+ vX_[4276] = vX_[4275] * 1 / vX_[183];
+ vX_[4270] = vX_[4270] - (vX_[4271] * vX_[190] + vX_[4272] * vX_[181] + vX_[4273] * vX_[183] + vX_[4274] * 2.1e-05 +
+ vX_[4276] * -0.000102);
+ vX_[4277] = vX_[4268] * vX_[169] + vX_[4269] * vX_[1069] + vX_[4270] * vX_[1077];
+ vX_[4278] = 0 - vX_[4277];
+ vX_[4279] = vX_[4268] * vX_[167] + vX_[4269] * vX_[169] + vX_[4270] * vX_[168];
+ vX_[4280] = 0 - vX_[4279];
+ vX_[4281] = vX_[4270] - (vX_[4277] * 38.1956380581338 * 0.110125 + vX_[4279] * 38.1956380581338 * 0.000881 +
+ vX_[4270] * 38.1956380581338 * 0.026181);
+ vX_[4282] = 0 - vX_[4281];
+ vX_[4283] = vX_[4265] * vX_[169] + vX_[4275] * vX_[175];
+ vX_[4284] = 0 - vX_[4283];
+ vX_[4285] = vX_[4265] * vX_[167] + vX_[4275] * vX_[169];
+ vX_[4286] = 0 - vX_[4285];
+ vX_[4287] = 0 - vX_[4281];
+ vX_[4288] = 0 - vX_[4283];
+ vX_[4289] = 0 - vX_[4285];
+ vX_[4290] = vX_[4287] * vX_[1111] + vX_[4288] * vX_[1116] + vX_[4289] * vX_[1120];
+ vX_[4291] = 0 - vX_[4283];
+ vX_[4292] = 0 - vX_[4285];
+ vX_[4293] = vX_[4291] * vX_[1126] + vX_[4292] * vX_[1130];
+ vX_[4294] = 0 - vX_[4293];
+ vX_[4295] = vX_[4267] * vX_[163] + vX_[4278] * vX_[1083] + vX_[4280] * vX_[1088] + vX_[4282] * vX_[1092] +
+ vX_[4284] * vX_[1101] + vX_[4286] * vX_[1109] + vX_[4290] * vX_[1124] + vX_[4294] * vX_[1138];
+ vX_[4296] = vX_[4295] * vX_[1262];
+ vX_[4297] = 0 - vX_[4277];
+ vX_[4298] = 0 - vX_[4279];
+ vX_[4299] = 0 - vX_[4281];
+ vX_[4300] = 0 - vX_[4283];
+ vX_[4301] = 0 - vX_[4285];
+ vX_[4302] = 0 - vX_[4290];
+ vX_[4303] = 0 - vX_[4281];
+ vX_[4304] = 0 - vX_[4283];
+ vX_[4305] = 0 - vX_[4285];
+ vX_[4306] = vX_[4303] * vX_[163] + vX_[4304] * vX_[1082] + vX_[4305] * vX_[1086];
+ vX_[4307] = vX_[4297] * vX_[1126] + vX_[4298] * vX_[1129] + vX_[4299] * vX_[1268] + vX_[4300] * vX_[1274] +
+ vX_[4301] * vX_[1279] + vX_[4302] * vX_[1219] + vX_[4306] * vX_[1138];
+ vX_[4308] = vX_[4307] * vX_[1297];
+ vX_[4309] = 0 - vX_[4296] - vX_[4308];
+ vX_[4310] = vX_[4295] * vX_[1293];
+ vX_[4311] = 0 - vX_[4266];
+ vX_[4312] = 0 - vX_[4277];
+ vX_[4313] = 0 - vX_[4279];
+ vX_[4314] = 0 - vX_[4281];
+ vX_[4315] = 0 - vX_[4283];
+ vX_[4316] = 0 - vX_[4285];
+ vX_[4317] = 0 - vX_[4306];
+ vX_[4318] = vX_[4311] * vX_[1314] + vX_[4312] * vX_[1114] + vX_[4313] * vX_[1119] + vX_[4314] * vX_[1321] +
+ vX_[4315] * vX_[1329] + vX_[4316] * vX_[1337] + vX_[4317] * vX_[1124] + vX_[4293] * vX_[1219];
+ vX_[4319] = vX_[4318] * vX_[1262];
+ vX_[4320] = vX_[4310] + vX_[4319];
+ vX_[4321] = vX_[4307] * vX_[1293];
+ vX_[4322] = vX_[4318] * vX_[1297];
+ vX_[4323] = vX_[4321] + vX_[4322];
+ vX_[4324] = vX_[4307] * vX_[1262];
+ vX_[4325] = vX_[4295] * vX_[1297];
+ vX_[4326] = vX_[4324] - vX_[4325];
+ vX_[4309] = vX_[4309] * vX_[1312] +
+ (vX_[4309] * vX_[1311] + vX_[4320] * vX_[1344] + vX_[4323] * vX_[1348] + vX_[4326] * vX_[1352]) * 2.;
+ vX_[4322] = 0 - vX_[4321] + vX_[4322];
+ vX_[4319] = vX_[4310] - vX_[4319];
+ vX_[4326] = vX_[4326] * vX_[1312] + vX_[4322] * vX_[1345] + vX_[4319] * vX_[1208];
+ vX_[4310] = 0 - vX_[4326];
+ vX_[4321] = vX_[4309] * vX_[1310] + vX_[4310] * vX_[1306];
+ vX_[4327] = vX_[4318] * vX_[1293];
+ vX_[4308] = 0 - vX_[4327] - vX_[4308];
+ vX_[4325] = vX_[4324] + vX_[4325];
+ vX_[4308] = vX_[4320] * vX_[1312] + vX_[4308] * vX_[1345] +
+ (vX_[4308] * vX_[1344] + vX_[4325] * vX_[1348] + vX_[4322] * vX_[1352]) * 2.;
+ vX_[4322] = 0 - vX_[4308];
+ vX_[4327] = 0 - vX_[4327] - vX_[4296];
+ vX_[4327] = vX_[4323] * vX_[1312] + vX_[4325] * vX_[1345] + vX_[4327] * vX_[1208] +
+ (vX_[4327] * vX_[1348] + vX_[4319] * vX_[1352]) * 2.;
+ vX_[4325] = vX_[4322] * vX_[1306] + vX_[4327] * vX_[1310];
+ vX_[4319] = vX_[4308] * vX_[1310] + vX_[4327] * vX_[1306];
+ vX_[4323] = vX_[4309] * vX_[1306] + vX_[4326] * vX_[1310];
+ vX_[4296] = vX_[4162] * vX_[354] + vX_[4160] * vX_[273] + vX_[4152] * vX_[368] + vX_[4147] * vX_[366] +
+ vX_[4178] * vX_[1341];
+ vX_[4320] = vX_[4150] + vX_[4152] * 0.207;
+ vX_[4324] = vX_[4320] * 1 / vX_[351];
+ vX_[4328] = vX_[4296] * 1 / vX_[351];
+ vX_[4329] = vX_[4162] * vX_[1359] + vX_[4160] * vX_[354] + vX_[4152] * vX_[1360] + vX_[4147] * vX_[1361] +
+ vX_[4178] * vX_[274];
+ vX_[4330] = vX_[4329] * 1 / vX_[351];
+ vX_[4331] = vX_[4178] * 1 / vX_[351];
+ vX_[4332] = vX_[4152] * vX_[354] + vX_[4147] * vX_[273];
+ vX_[4333] = vX_[4332] * 1 / vX_[351];
+ vX_[4334] = vX_[4152] * vX_[367] + vX_[4147] * vX_[354];
+ vX_[4335] = vX_[4334] * 1 / vX_[351];
+ vX_[4336] = vX_[4178] - (vX_[4324] * vX_[363] + vX_[4328] * vX_[325] + vX_[4330] * vX_[316] + vX_[4331] * vX_[351] +
+ vX_[4333] * vX_[376] + vX_[4335] * vX_[385]);
+ vX_[4337] = vX_[4296] + vX_[4336] * 0.08;
+ vX_[4338] = vX_[4336] * vX_[304] + vX_[4334] * vX_[276];
+ vX_[4339] = vX_[4337] + vX_[4338] * -0.35;
+ vX_[4340] = 0 - vX_[4339];
+ vX_[4341] = vX_[4320] * vX_[1374] + vX_[4329] * vX_[1375] + vX_[4332] * vX_[1376];
+ vX_[4342] = vX_[4320] * vX_[1378] + vX_[4329] * vX_[303] + vX_[4332] * vX_[321];
+ vX_[4343] = vX_[4341] * 1 / vX_[300];
+ vX_[4344] = vX_[4342] * 1 / vX_[300];
+ vX_[4345] = vX_[4332] * 1 / vX_[300];
+ vX_[4346] = vX_[4338] * 1 / vX_[300];
+ vX_[4347] = vX_[4336] * vX_[276] + vX_[4334] * vX_[303];
+ vX_[4348] = vX_[4347] * 1 / vX_[300];
+ vX_[4349] = vX_[4332] - (vX_[4343] * vX_[311] + vX_[4344] * vX_[298] + vX_[4345] * vX_[300] + vX_[4346] * vX_[307] +
+ vX_[4348] * vX_[288]);
+ vX_[4350] = vX_[4341] * vX_[277] + vX_[4342] * vX_[1380] + vX_[4349] * vX_[1388];
+ vX_[4351] = 0 - vX_[4350];
+ vX_[4352] = vX_[4341] * vX_[279] + vX_[4342] * vX_[277] + vX_[4349] * vX_[282];
+ vX_[4353] = 0 - vX_[4352];
+ vX_[4354] = vX_[4349] - (vX_[4350] * 38.1956380581338 * 0.1104774 + vX_[4352] * 38.1956380581338 * -0.0004405 +
+ vX_[4349] * 38.1956380581338 * 0.026181);
+ vX_[4355] = 0 - vX_[4354];
+ vX_[4356] = vX_[4338] * vX_[277] + vX_[4347] * vX_[280];
+ vX_[4357] = 0 - vX_[4356];
+ vX_[4358] = vX_[4338] * vX_[279] + vX_[4347] * vX_[277];
+ vX_[4359] = 0 - vX_[4358];
+ vX_[4360] = 0 - vX_[4354];
+ vX_[4361] = 0 - vX_[4356];
+ vX_[4362] = 0 - vX_[4358];
+ vX_[4363] = vX_[4360] * vX_[354] + vX_[4361] * vX_[1428] + vX_[4362] * vX_[1431];
+ vX_[4364] = 0 - vX_[4356];
+ vX_[4365] = 0 - vX_[4358];
+ vX_[4366] = vX_[4364] * vX_[1437] + vX_[4365] * vX_[1441];
+ vX_[4367] = 0 - vX_[4366];
+ vX_[4368] = vX_[4340] * vX_[273] + vX_[4351] * vX_[1395] + vX_[4353] * vX_[1400] + vX_[4355] * vX_[1404] +
+ vX_[4357] * vX_[1413] + vX_[4359] * vX_[1422] + vX_[4363] * vX_[1435] + vX_[4367] * vX_[1449];
+ vX_[4369] = vX_[4368] * vX_[1574];
+ vX_[4370] = 0 - vX_[4350];
+ vX_[4371] = 0 - vX_[4352];
+ vX_[4372] = 0 - vX_[4354];
+ vX_[4373] = 0 - vX_[4356];
+ vX_[4374] = 0 - vX_[4358];
+ vX_[4375] = 0 - vX_[4363];
+ vX_[4376] = 0 - vX_[4354];
+ vX_[4377] = 0 - vX_[4356];
+ vX_[4378] = 0 - vX_[4358];
+ vX_[4379] = vX_[4376] * vX_[273] + vX_[4377] * vX_[1394] + vX_[4378] * vX_[1399];
+ vX_[4380] = vX_[4370] * vX_[1437] + vX_[4371] * vX_[1440] + vX_[4372] * vX_[1580] + vX_[4373] * vX_[1586] +
+ vX_[4374] * vX_[1591] + vX_[4375] * vX_[1596] + vX_[4379] * vX_[1449];
+ vX_[4381] = vX_[4380] * vX_[1609];
+ vX_[4382] = 0 - vX_[4369] - vX_[4381];
+ vX_[4383] = vX_[4368] * vX_[1605];
+ vX_[4384] = 0 - vX_[4339];
+ vX_[4385] = 0 - vX_[4350];
+ vX_[4386] = 0 - vX_[4352];
+ vX_[4387] = 0 - vX_[4354];
+ vX_[4388] = 0 - vX_[4356];
+ vX_[4389] = 0 - vX_[4358];
+ vX_[4390] = 0 - vX_[4379];
+ vX_[4391] = vX_[4384] * vX_[354] + vX_[4385] * vX_[1426] + vX_[4386] * vX_[1430] + vX_[4387] * vX_[1631] +
+ vX_[4388] * vX_[1639] + vX_[4389] * vX_[1647] + vX_[4390] * vX_[1435] + vX_[4366] * vX_[1596];
+ vX_[4392] = vX_[4391] * vX_[1574];
+ vX_[4393] = vX_[4383] + vX_[4392];
+ vX_[4394] = vX_[4380] * vX_[1605];
+ vX_[4395] = vX_[4391] * vX_[1609];
+ vX_[4396] = vX_[4394] + vX_[4395];
+ vX_[4397] = vX_[4380] * vX_[1574];
+ vX_[4398] = vX_[4368] * vX_[1609];
+ vX_[4399] = vX_[4397] - vX_[4398];
+ vX_[4382] = vX_[4382] * vX_[1624] +
+ (vX_[4382] * vX_[1623] + vX_[4393] * vX_[1654] + vX_[4396] * vX_[1658] + vX_[4399] * vX_[1662]) * 2.;
+ vX_[4395] = 0 - vX_[4394] + vX_[4395];
+ vX_[4392] = vX_[4383] - vX_[4392];
+ vX_[4399] = vX_[4399] * vX_[1624] + vX_[4395] * vX_[1655] + vX_[4392] * vX_[1519];
+ vX_[4383] = 0 - vX_[4399];
+ vX_[4394] = vX_[4382] * vX_[1622] + vX_[4383] * vX_[1618];
+ vX_[4400] = vX_[4391] * vX_[1605];
+ vX_[4381] = 0 - vX_[4400] - vX_[4381];
+ vX_[4398] = vX_[4397] + vX_[4398];
+ vX_[4381] = vX_[4393] * vX_[1624] + vX_[4381] * vX_[1655] +
+ (vX_[4381] * vX_[1654] + vX_[4398] * vX_[1658] + vX_[4395] * vX_[1662]) * 2.;
+ vX_[4395] = 0 - vX_[4381];
+ vX_[4400] = 0 - vX_[4400] - vX_[4369];
+ vX_[4400] = vX_[4396] * vX_[1624] + vX_[4398] * vX_[1655] + vX_[4400] * vX_[1519] +
+ (vX_[4400] * vX_[1658] + vX_[4392] * vX_[1662]) * 2.;
+ vX_[4398] = vX_[4395] * vX_[1618] + vX_[4400] * vX_[1622];
+ vX_[4392] = vX_[4381] * vX_[1622] + vX_[4400] * vX_[1618];
+ vX_[4396] = vX_[4382] * vX_[1618] + vX_[4399] * vX_[1622];
+ vX_[4369] = vX_[4162] * vX_[473] + vX_[4160] * vX_[1651] + vX_[4152] * vX_[488] + vX_[4147] * vX_[486] +
+ vX_[4178] * vX_[1659];
+ vX_[4393] = vX_[4178] * -1;
+ vX_[4397] = vX_[4150] * -1 + vX_[4152] * 0.207;
+ vX_[4401] = vX_[4397] * 1 / vX_[470];
+ vX_[4402] = vX_[4369] * 1 / vX_[470];
+ vX_[4403] = vX_[4162] * vX_[1671] + vX_[4160] * vX_[1672] + vX_[4152] * vX_[1673] + vX_[4147] * vX_[1674] +
+ vX_[4178] * vX_[392];
+ vX_[4404] = vX_[4403] * 1 / vX_[470];
+ vX_[4405] = vX_[4393] * 1 / vX_[470];
+ vX_[4406] = vX_[4152] * vX_[473] + vX_[4147] * vX_[487];
+ vX_[4407] = vX_[4406] * 1 / vX_[470];
+ vX_[4408] = vX_[4152] * vX_[487] + vX_[4147] * vX_[485];
+ vX_[4409] = vX_[4408] * 1 / vX_[470];
+ vX_[4393] = vX_[4393] - (vX_[2911] + vX_[4401] * vX_[482] + vX_[4402] * vX_[444] + vX_[4404] * vX_[434] +
+ vX_[4405] * vX_[470] + vX_[4407] * vX_[496] + vX_[4409] * vX_[505]);
+ vX_[4410] = vX_[4369] * -1 + vX_[4393] * -0.08;
+ vX_[4411] = vX_[4393] * vX_[421] + vX_[4408] * vX_[433];
+ vX_[4412] = vX_[4410] + vX_[4411] * -0.35;
+ vX_[4413] = 0 - vX_[4412];
+ vX_[4414] = vX_[4397] * vX_[421] + vX_[4403] * vX_[1686] + vX_[4406] * vX_[1687];
+ vX_[4415] = vX_[4397] * vX_[394] + vX_[4403] * vX_[421] + vX_[4406] * vX_[439];
+ vX_[4416] = vX_[4406] * -1;
+ vX_[4417] = vX_[4414] * 1 / vX_[418];
+ vX_[4418] = vX_[4415] * 1 / vX_[418];
+ vX_[4419] = vX_[4416] * 1 / vX_[418];
+ vX_[4420] = vX_[4411] * 1 / vX_[418];
+ vX_[4421] = vX_[4393] * vX_[394] + vX_[4408] * vX_[421];
+ vX_[4422] = vX_[4421] * 1 / vX_[418];
+ vX_[4416] = vX_[4416] - (vX_[4417] * vX_[428] + vX_[4418] * vX_[416] + vX_[4419] * vX_[418] + vX_[4420] * vX_[424] +
+ vX_[4422] * vX_[406]);
+ vX_[4423] = vX_[4414] * vX_[395] + vX_[4415] * vX_[1690] + vX_[4416] * vX_[1698];
+ vX_[4424] = 0 - vX_[4423];
+ vX_[4425] = vX_[4414] * vX_[397] + vX_[4415] * vX_[395] + vX_[4416] * vX_[400];
+ vX_[4426] = 0 - vX_[4425];
+ vX_[4427] = vX_[4416] - (vX_[4423] * 38.1956380581338 * 0.1104774 + vX_[4425] * 38.1956380581338 * -0.0004405 +
+ vX_[4416] * 38.1956380581338 * 0.026181);
+ vX_[4428] = 0 - vX_[4427];
+ vX_[4429] = vX_[4411] * vX_[395] + vX_[4421] * vX_[398];
+ vX_[4430] = 0 - vX_[4429];
+ vX_[4431] = vX_[4411] * vX_[397] + vX_[4421] * vX_[395];
+ vX_[4432] = 0 - vX_[4431];
+ vX_[4433] = 0 - vX_[4427];
+ vX_[4434] = 0 - vX_[4429];
+ vX_[4435] = 0 - vX_[4431];
+ vX_[4436] = vX_[4433] * vX_[1734] + vX_[4434] * vX_[1739] + vX_[4435] * vX_[1743];
+ vX_[4437] = 0 - vX_[4429];
+ vX_[4438] = 0 - vX_[4431];
+ vX_[4439] = vX_[4437] * vX_[1749] + vX_[4438] * vX_[1753];
+ vX_[4440] = 0 - vX_[4439];
+ vX_[4441] = vX_[4413] * vX_[391] + vX_[4424] * vX_[1705] + vX_[4426] * vX_[1710] + vX_[4428] * vX_[1714] +
+ vX_[4430] * vX_[1723] + vX_[4432] * vX_[1732] + vX_[4436] * vX_[1747] + vX_[4440] * vX_[1761];
+ vX_[4442] = vX_[4441] * vX_[1887];
+ vX_[4443] = 0 - vX_[4423];
+ vX_[4444] = 0 - vX_[4425];
+ vX_[4445] = 0 - vX_[4427];
+ vX_[4446] = 0 - vX_[4429];
+ vX_[4447] = 0 - vX_[4431];
+ vX_[4448] = 0 - vX_[4436];
+ vX_[4449] = 0 - vX_[4427];
+ vX_[4450] = 0 - vX_[4429];
+ vX_[4451] = 0 - vX_[4431];
+ vX_[4452] = vX_[4449] * vX_[391] + vX_[4450] * vX_[1704] + vX_[4451] * vX_[1708];
+ vX_[4453] = vX_[4443] * vX_[1749] + vX_[4444] * vX_[1752] + vX_[4445] * vX_[1893] + vX_[4446] * vX_[1899] +
+ vX_[4447] * vX_[1904] + vX_[4448] * vX_[1911] + vX_[4452] * vX_[1761];
+ vX_[4454] = vX_[4453] * vX_[1923];
+ vX_[4455] = 0 - vX_[4442] - vX_[4454];
+ vX_[4456] = vX_[4441] * vX_[1919];
+ vX_[4457] = 0 - vX_[4412];
+ vX_[4458] = 0 - vX_[4423];
+ vX_[4459] = 0 - vX_[4425];
+ vX_[4460] = 0 - vX_[4427];
+ vX_[4461] = 0 - vX_[4429];
+ vX_[4462] = 0 - vX_[4431];
+ vX_[4463] = 0 - vX_[4452];
+ vX_[4464] = vX_[4457] * vX_[1940] + vX_[4458] * vX_[1737] + vX_[4459] * vX_[1742] + vX_[4460] * vX_[1947] +
+ vX_[4461] * vX_[1955] + vX_[4462] * vX_[1963] + vX_[4463] * vX_[1747] + vX_[4439] * vX_[1911];
+ vX_[4465] = vX_[4464] * vX_[1887];
+ vX_[4466] = vX_[4456] + vX_[4465];
+ vX_[4467] = vX_[4453] * vX_[1919];
+ vX_[4468] = vX_[4464] * vX_[1923];
+ vX_[4469] = vX_[4467] + vX_[4468];
+ vX_[4470] = vX_[4453] * vX_[1887];
+ vX_[4471] = vX_[4441] * vX_[1923];
+ vX_[4472] = vX_[4470] - vX_[4471];
+ vX_[4455] = vX_[4455] * vX_[1938] +
+ (vX_[4455] * vX_[1937] + vX_[4466] * vX_[1970] + vX_[4469] * vX_[1974] + vX_[4472] * vX_[1978]) * 2.;
+ vX_[4468] = 0 - vX_[4467] + vX_[4468];
+ vX_[4465] = vX_[4456] - vX_[4465];
+ vX_[4472] = vX_[4472] * vX_[1938] + vX_[4468] * vX_[1971] + vX_[4465] * vX_[1829];
+ vX_[4456] = 0 - vX_[4472];
+ vX_[4467] = vX_[4455] * vX_[1936] + vX_[4456] * vX_[1932];
+ vX_[4473] = vX_[4464] * vX_[1919];
+ vX_[4454] = 0 - vX_[4473] - vX_[4454];
+ vX_[4471] = vX_[4470] + vX_[4471];
+ vX_[4454] = vX_[4466] * vX_[1938] + vX_[4454] * vX_[1971] +
+ (vX_[4454] * vX_[1970] + vX_[4471] * vX_[1974] + vX_[4468] * vX_[1978]) * 2.;
+ vX_[4468] = 0 - vX_[4454];
+ vX_[4473] = 0 - vX_[4473] - vX_[4442];
+ vX_[4473] = vX_[4469] * vX_[1938] + vX_[4471] * vX_[1971] + vX_[4473] * vX_[1829] +
+ (vX_[4473] * vX_[1974] + vX_[4465] * vX_[1978]) * 2.;
+ vX_[4471] = vX_[4468] * vX_[1932] + vX_[4473] * vX_[1936];
+ vX_[4465] = vX_[4454] * vX_[1936] + vX_[4473] * vX_[1932];
+ vX_[4469] = vX_[4455] * vX_[1932] + vX_[4472] * vX_[1936];
+ vX_[4442] = vX_[4245] * vX_[1982] + vX_[4222] * vX_[1985] + vX_[4234] * vX_[1988];
+ vX_[4466] = vX_[4442] * vX_[950] * -1000.;
+ vX_[4470] = vX_[4466] * vX_[872];
+ vX_[4474] = vX_[4245] * vX_[1994] + vX_[4222] * vX_[1987] + vX_[4234] * vX_[1983];
+ vX_[4475] = vX_[4474] * vX_[950] * -1000.;
+ vX_[4476] = vX_[4475] * vX_[891];
+ vX_[4477] = 0 - vX_[4470] - vX_[4476];
+ vX_[4245] = vX_[4245] * vX_[1986] + vX_[4222] * vX_[1975] + vX_[4234] * vX_[1993];
+ vX_[4234] = vX_[4245] * vX_[950] * -1000.;
+ vX_[4222] = vX_[4234] * vX_[872];
+ vX_[4478] = vX_[4466] * vX_[909];
+ vX_[4479] = vX_[4222] + vX_[4478];
+ vX_[4480] = vX_[4234] * vX_[891];
+ vX_[4481] = vX_[4475] * vX_[909];
+ vX_[4482] = vX_[4480] + vX_[4481];
+ vX_[4483] = vX_[4466] * vX_[891];
+ vX_[4484] = vX_[4475] * vX_[872];
+ vX_[4485] = vX_[4483] - vX_[4484];
+ vX_[4477] = vX_[4477] * vX_[838] +
+ (vX_[4477] * vX_[837] + vX_[4479] * vX_[873] + vX_[4482] * vX_[842] + vX_[4485] * vX_[876]) * 2.;
+ vX_[4481] = 0 - vX_[4480] + vX_[4481];
+ vX_[4478] = vX_[4222] - vX_[4478];
+ vX_[4485] = vX_[4485] * vX_[838] + vX_[4481] * vX_[874] + vX_[4478] * vX_[843];
+ vX_[4222] = 0 - vX_[4485];
+ vX_[4480] = vX_[4477] * vX_[836] + vX_[4222] * vX_[832];
+ vX_[4486] = vX_[4234] * vX_[909];
+ vX_[4476] = 0 - vX_[4486] - vX_[4476];
+ vX_[4484] = vX_[4483] + vX_[4484];
+ vX_[4476] = vX_[4479] * vX_[838] + vX_[4476] * vX_[874] +
+ (vX_[4476] * vX_[873] + vX_[4484] * vX_[842] + vX_[4481] * vX_[876]) * 2.;
+ vX_[4481] = 0 - vX_[4476];
+ vX_[4486] = 0 - vX_[4486] - vX_[4470];
+ vX_[4486] = vX_[4482] * vX_[838] + vX_[4484] * vX_[874] + vX_[4486] * vX_[843] +
+ (vX_[4486] * vX_[842] + vX_[4478] * vX_[876]) * 2.;
+ vX_[4484] = vX_[4481] * vX_[832] + vX_[4486] * vX_[836];
+ vX_[4478] = vX_[4476] * vX_[836] + vX_[4486] * vX_[832];
+ vX_[4482] = vX_[4477] * vX_[832] + vX_[4485] * vX_[836];
+ vX_[4245] = vX_[4245] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[4245] * vX_[844] + vX_[4442] * vX_[910] + vX_[4474] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[4474] = vX_[4245] * vX_[935];
+ vX_[4442] = vX_[4245] * vX_[939];
+ vX_[4470] = (vX_[4474] * vX_[925] + vX_[4442] * vX_[926]) * 2.;
+ vX_[4479] = 0 - vX_[4442];
+ vX_[4483] = vX_[4479] * vX_[936] + vX_[4474] * vX_[927];
+ vX_[4487] = 0 - vX_[4483];
+ vX_[4488] = vX_[4470] * vX_[921] + vX_[4487] * vX_[917];
+ vX_[4489] = vX_[4245] * vX_[946];
+ vX_[4490] = 0 - vX_[4489];
+ vX_[4490] = vX_[4474] * vX_[922] + vX_[4490] * vX_[936] + (vX_[4490] * vX_[925] + vX_[4479] * vX_[928]) * 2.;
+ vX_[4479] = 0 - vX_[4490];
+ vX_[4489] = 0 - vX_[4489];
+ vX_[4489] = vX_[4442] * vX_[922] + vX_[4489] * vX_[927] + (vX_[4489] * vX_[926] + vX_[4474] * vX_[928]) * 2.;
+ vX_[4442] = vX_[4479] * vX_[917] + vX_[4489] * vX_[921];
+ vX_[4474] = vX_[4490] * vX_[921] + vX_[4489] * vX_[917];
+ vX_[4491] = vX_[4470] * vX_[917] + vX_[4483] * vX_[921];
+ vX_[4492] = vX_[4318] * vX_[2014] + vX_[4295] * vX_[2017] + vX_[4307] * vX_[2020];
+ vX_[4493] = vX_[4492] * vX_[1261] * -1000.;
+ vX_[4494] = vX_[4493] * vX_[1189];
+ vX_[4495] = vX_[4318] * vX_[2026] + vX_[4295] * vX_[2019] + vX_[4307] * vX_[2015];
+ vX_[4496] = vX_[4495] * vX_[1261] * -1000.;
+ vX_[4497] = vX_[4496] * vX_[1207];
+ vX_[4498] = 0 - vX_[4494] - vX_[4497];
+ vX_[4318] = vX_[4318] * vX_[2018] + vX_[4295] * vX_[2013] + vX_[4307] * vX_[2025];
+ vX_[4307] = vX_[4318] * vX_[1261] * -1000.;
+ vX_[4295] = vX_[4307] * vX_[1189];
+ vX_[4499] = vX_[4493] * vX_[1226];
+ vX_[4500] = vX_[4295] + vX_[4499];
+ vX_[4501] = vX_[4307] * vX_[1207];
+ vX_[4502] = vX_[4496] * vX_[1226];
+ vX_[4503] = vX_[4501] + vX_[4502];
+ vX_[4504] = vX_[4493] * vX_[1207];
+ vX_[4505] = vX_[4496] * vX_[1189];
+ vX_[4506] = vX_[4504] - vX_[4505];
+ vX_[4498] = vX_[4498] * vX_[1152] +
+ (vX_[4498] * vX_[1151] + vX_[4500] * vX_[1190] + vX_[4503] * vX_[1156] + vX_[4506] * vX_[1193]) * 2.;
+ vX_[4502] = 0 - vX_[4501] + vX_[4502];
+ vX_[4499] = vX_[4295] - vX_[4499];
+ vX_[4506] = vX_[4506] * vX_[1152] + vX_[4502] * vX_[1191] + vX_[4499] * vX_[1157];
+ vX_[4295] = 0 - vX_[4506];
+ vX_[4501] = vX_[4498] * vX_[1150] + vX_[4295] * vX_[1146];
+ vX_[4507] = vX_[4307] * vX_[1226];
+ vX_[4497] = 0 - vX_[4507] - vX_[4497];
+ vX_[4505] = vX_[4504] + vX_[4505];
+ vX_[4497] = vX_[4500] * vX_[1152] + vX_[4497] * vX_[1191] +
+ (vX_[4497] * vX_[1190] + vX_[4505] * vX_[1156] + vX_[4502] * vX_[1193]) * 2.;
+ vX_[4502] = 0 - vX_[4497];
+ vX_[4507] = 0 - vX_[4507] - vX_[4494];
+ vX_[4507] = vX_[4503] * vX_[1152] + vX_[4505] * vX_[1191] + vX_[4507] * vX_[1157] +
+ (vX_[4507] * vX_[1156] + vX_[4499] * vX_[1193]) * 2.;
+ vX_[4505] = vX_[4502] * vX_[1146] + vX_[4507] * vX_[1150];
+ vX_[4499] = vX_[4497] * vX_[1150] + vX_[4507] * vX_[1146];
+ vX_[4503] = vX_[4498] * vX_[1146] + vX_[4506] * vX_[1150];
+ vX_[4318] =
+ vX_[4318] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[4318] * vX_[1158] + vX_[4492] * vX_[1227] + vX_[4495] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[4495] = vX_[4318] * vX_[1250];
+ vX_[4492] = vX_[4318] * vX_[1181];
+ vX_[4494] = (vX_[4495] * vX_[1242] + vX_[4492] * vX_[1243]) * 2.;
+ vX_[4500] = 0 - vX_[4492];
+ vX_[4504] = vX_[4500] * vX_[1251] + vX_[4495] * vX_[1244];
+ vX_[4508] = 0 - vX_[4504];
+ vX_[4509] = vX_[4494] * vX_[1238] + vX_[4508] * vX_[1234];
+ vX_[4510] = vX_[4318] * vX_[1257];
+ vX_[4511] = 0 - vX_[4510];
+ vX_[4511] = vX_[4495] * vX_[1239] + vX_[4511] * vX_[1251] + (vX_[4511] * vX_[1242] + vX_[4500] * vX_[1245]) * 2.;
+ vX_[4500] = 0 - vX_[4511];
+ vX_[4510] = 0 - vX_[4510];
+ vX_[4510] = vX_[4492] * vX_[1239] + vX_[4510] * vX_[1244] + (vX_[4510] * vX_[1243] + vX_[4495] * vX_[1245]) * 2.;
+ vX_[4492] = vX_[4500] * vX_[1234] + vX_[4510] * vX_[1238];
+ vX_[4495] = vX_[4511] * vX_[1238] + vX_[4510] * vX_[1234];
+ vX_[4512] = vX_[4494] * vX_[1234] + vX_[4504] * vX_[1238];
+ vX_[4513] = vX_[4391] * vX_[2046] + vX_[4368] * vX_[2049] + vX_[4380] * vX_[2052];
+ vX_[4514] = vX_[4513] * vX_[1573] * -1000.;
+ vX_[4515] = vX_[4514] * vX_[1499];
+ vX_[4516] = vX_[4391] * vX_[2058] + vX_[4368] * vX_[2051] + vX_[4380] * vX_[2047];
+ vX_[4517] = vX_[4516] * vX_[1573] * -1000.;
+ vX_[4518] = vX_[4517] * vX_[1518];
+ vX_[4519] = 0 - vX_[4515] - vX_[4518];
+ vX_[4391] = vX_[4391] * vX_[2050] + vX_[4368] * vX_[2045] + vX_[4380] * vX_[2057];
+ vX_[4380] = vX_[4391] * vX_[1573] * -1000.;
+ vX_[4368] = vX_[4380] * vX_[1499];
+ vX_[4520] = vX_[4514] * vX_[1536];
+ vX_[4521] = vX_[4368] + vX_[4520];
+ vX_[4522] = vX_[4380] * vX_[1518];
+ vX_[4523] = vX_[4517] * vX_[1536];
+ vX_[4524] = vX_[4522] + vX_[4523];
+ vX_[4525] = vX_[4514] * vX_[1518];
+ vX_[4526] = vX_[4517] * vX_[1499];
+ vX_[4527] = vX_[4525] - vX_[4526];
+ vX_[4519] = vX_[4519] * vX_[1463] +
+ (vX_[4519] * vX_[1462] + vX_[4521] * vX_[1500] + vX_[4524] * vX_[1467] + vX_[4527] * vX_[1503]) * 2.;
+ vX_[4523] = 0 - vX_[4522] + vX_[4523];
+ vX_[4520] = vX_[4368] - vX_[4520];
+ vX_[4527] = vX_[4527] * vX_[1463] + vX_[4523] * vX_[1501] + vX_[4520] * vX_[1468];
+ vX_[4368] = 0 - vX_[4527];
+ vX_[4522] = vX_[4519] * vX_[1461] + vX_[4368] * vX_[1457];
+ vX_[4528] = vX_[4380] * vX_[1536];
+ vX_[4518] = 0 - vX_[4528] - vX_[4518];
+ vX_[4526] = vX_[4525] + vX_[4526];
+ vX_[4518] = vX_[4521] * vX_[1463] + vX_[4518] * vX_[1501] +
+ (vX_[4518] * vX_[1500] + vX_[4526] * vX_[1467] + vX_[4523] * vX_[1503]) * 2.;
+ vX_[4523] = 0 - vX_[4518];
+ vX_[4528] = 0 - vX_[4528] - vX_[4515];
+ vX_[4528] = vX_[4524] * vX_[1463] + vX_[4526] * vX_[1501] + vX_[4528] * vX_[1468] +
+ (vX_[4528] * vX_[1467] + vX_[4520] * vX_[1503]) * 2.;
+ vX_[4526] = vX_[4523] * vX_[1457] + vX_[4528] * vX_[1461];
+ vX_[4520] = vX_[4518] * vX_[1461] + vX_[4528] * vX_[1457];
+ vX_[4524] = vX_[4519] * vX_[1457] + vX_[4527] * vX_[1461];
+ vX_[4391] =
+ vX_[4391] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[4391] * vX_[1469] + vX_[4513] * vX_[1537] + vX_[4516] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[4516] = vX_[4391] * vX_[1560];
+ vX_[4513] = vX_[4391] * vX_[1491];
+ vX_[4515] = (vX_[4516] * vX_[1552] + vX_[4513] * vX_[1553]) * 2.;
+ vX_[4521] = 0 - vX_[4513];
+ vX_[4525] = vX_[4521] * vX_[1561] + vX_[4516] * vX_[1554];
+ vX_[4529] = 0 - vX_[4525];
+ vX_[4530] = vX_[4515] * vX_[1548] + vX_[4529] * vX_[1544];
+ vX_[4531] = vX_[4391] * vX_[1569];
+ vX_[4532] = 0 - vX_[4531];
+ vX_[4532] = vX_[4516] * vX_[1549] + vX_[4532] * vX_[1561] + (vX_[4532] * vX_[1552] + vX_[4521] * vX_[1555]) * 2.;
+ vX_[4521] = 0 - vX_[4532];
+ vX_[4531] = 0 - vX_[4531];
+ vX_[4531] = vX_[4513] * vX_[1549] + vX_[4531] * vX_[1554] + (vX_[4531] * vX_[1553] + vX_[4516] * vX_[1555]) * 2.;
+ vX_[4513] = vX_[4521] * vX_[1544] + vX_[4531] * vX_[1548];
+ vX_[4516] = vX_[4532] * vX_[1548] + vX_[4531] * vX_[1544];
+ vX_[4533] = vX_[4515] * vX_[1544] + vX_[4525] * vX_[1548];
+ vX_[4534] = vX_[4464] * vX_[2078] + vX_[4441] * vX_[2081] + vX_[4453] * vX_[2084];
+ vX_[4535] = vX_[4534] * vX_[1886] * -1000.;
+ vX_[4536] = vX_[4535] * vX_[1809];
+ vX_[4537] = vX_[4464] * vX_[2090] + vX_[4441] * vX_[2083] + vX_[4453] * vX_[2079];
+ vX_[4538] = vX_[4537] * vX_[1886] * -1000.;
+ vX_[4539] = vX_[4538] * vX_[1828];
+ vX_[4540] = 0 - vX_[4536] - vX_[4539];
+ vX_[4464] = vX_[4464] * vX_[2082] + vX_[4441] * vX_[2077] + vX_[4453] * vX_[2089];
+ vX_[4453] = vX_[4464] * vX_[1886] * -1000.;
+ vX_[4441] = vX_[4453] * vX_[1809];
+ vX_[4541] = vX_[4535] * vX_[1846];
+ vX_[4542] = vX_[4441] + vX_[4541];
+ vX_[4543] = vX_[4453] * vX_[1828];
+ vX_[4544] = vX_[4538] * vX_[1846];
+ vX_[4545] = vX_[4543] + vX_[4544];
+ vX_[4546] = vX_[4535] * vX_[1828];
+ vX_[4547] = vX_[4538] * vX_[1809];
+ vX_[4548] = vX_[4546] - vX_[4547];
+ vX_[4540] = vX_[4540] * vX_[1775] +
+ (vX_[4540] * vX_[1774] + vX_[4542] * vX_[1810] + vX_[4545] * vX_[1779] + vX_[4548] * vX_[1813]) * 2.;
+ vX_[4544] = 0 - vX_[4543] + vX_[4544];
+ vX_[4541] = vX_[4441] - vX_[4541];
+ vX_[4548] = vX_[4548] * vX_[1775] + vX_[4544] * vX_[1811] + vX_[4541] * vX_[1780];
+ vX_[4441] = 0 - vX_[4548];
+ vX_[4543] = vX_[4540] * vX_[1773] + vX_[4441] * vX_[1769];
+ vX_[4549] = vX_[4453] * vX_[1846];
+ vX_[4539] = 0 - vX_[4549] - vX_[4539];
+ vX_[4547] = vX_[4546] + vX_[4547];
+ vX_[4539] = vX_[4542] * vX_[1775] + vX_[4539] * vX_[1811] +
+ (vX_[4539] * vX_[1810] + vX_[4547] * vX_[1779] + vX_[4544] * vX_[1813]) * 2.;
+ vX_[4544] = 0 - vX_[4539];
+ vX_[4549] = 0 - vX_[4549] - vX_[4536];
+ vX_[4549] = vX_[4545] * vX_[1775] + vX_[4547] * vX_[1811] + vX_[4549] * vX_[1780] +
+ (vX_[4549] * vX_[1779] + vX_[4541] * vX_[1813]) * 2.;
+ vX_[4547] = vX_[4544] * vX_[1769] + vX_[4549] * vX_[1773];
+ vX_[4541] = vX_[4539] * vX_[1773] + vX_[4549] * vX_[1769];
+ vX_[4545] = vX_[4540] * vX_[1769] + vX_[4548] * vX_[1773];
+ vX_[4464] =
+ vX_[4464] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[4464] * vX_[1781] + vX_[4534] * vX_[1847] + vX_[4537] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[204] = vX_[4245] + vX_[4318] + vX_[4391] + vX_[4464];
+ vX_[4537] = vX_[4464] * vX_[1870];
+ vX_[4534] = vX_[4464] * vX_[1875];
+ vX_[4536] = (vX_[4537] * vX_[1862] + vX_[4534] * vX_[1863]) * 2.;
+ vX_[4542] = 0 - vX_[4534];
+ vX_[4546] = vX_[4542] * vX_[1871] + vX_[4537] * vX_[1864];
+ vX_[4550] = 0 - vX_[4546];
+ vX_[4551] = vX_[4536] * vX_[1858] + vX_[4550] * vX_[1854];
+ vX_[4552] = vX_[4464] * vX_[1882];
+ vX_[4553] = 0 - vX_[4552];
+ vX_[4553] = vX_[4537] * vX_[1859] + vX_[4553] * vX_[1871] + (vX_[4553] * vX_[1862] + vX_[4542] * vX_[1865]) * 2.;
+ vX_[4542] = 0 - vX_[4553];
+ vX_[4552] = 0 - vX_[4552];
+ vX_[4552] = vX_[4534] * vX_[1859] + vX_[4552] * vX_[1864] + (vX_[4552] * vX_[1863] + vX_[4537] * vX_[1865]) * 2.;
+ vX_[4534] = vX_[4542] * vX_[1854] + vX_[4552] * vX_[1858];
+ vX_[4537] = vX_[4553] * vX_[1858] + vX_[4552] * vX_[1854];
+ vX_[4554] = vX_[4536] * vX_[1854] + vX_[4546] * vX_[1858];
+ jac[24] = ((vX_[4248] * vX_[999] + vX_[4252] * vX_[994]) * vX_[1029] -
+ (vX_[4246] * vX_[999] + vX_[4250] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[4321] * vX_[1308] + vX_[4325] * vX_[1303]) * vX_[1340] -
+ (vX_[4319] * vX_[1308] + vX_[4323] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[4394] * vX_[1620] + vX_[4398] * vX_[1615]) * vX_[1650] -
+ (vX_[4392] * vX_[1620] + vX_[4396] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[4467] * vX_[1934] + vX_[4471] * vX_[1929]) * vX_[1966] -
+ (vX_[4465] * vX_[1934] + vX_[4469] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[4480] * vX_[834] + vX_[4484] * vX_[829]) * vX_[1992] -
+ (vX_[4478] * vX_[834] + vX_[4482] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[4488] * vX_[919] + vX_[4442] * vX_[914]) * vX_[1995] -
+ (vX_[4474] * vX_[919] + vX_[4491] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[4501] * vX_[1148] + vX_[4505] * vX_[1143]) * vX_[2024] -
+ (vX_[4499] * vX_[1148] + vX_[4503] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[4509] * vX_[1236] + vX_[4492] * vX_[1231]) * vX_[2027] -
+ (vX_[4495] * vX_[1236] + vX_[4512] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[4522] * vX_[1459] + vX_[4526] * vX_[1454]) * vX_[2056] -
+ (vX_[4520] * vX_[1459] + vX_[4524] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[4530] * vX_[1546] + vX_[4513] * vX_[1541]) * vX_[2059] -
+ (vX_[4516] * vX_[1546] + vX_[4533] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[4543] * vX_[1771] + vX_[4547] * vX_[1766]) * vX_[2088] -
+ (vX_[4541] * vX_[1771] + vX_[4545] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[4551] * vX_[1856] + vX_[4534] * vX_[1851]) * vX_[2091] -
+ (vX_[4537] * vX_[1856] + vX_[4554] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[4555] = 1 / vX_[418];
+ vX_[4556] = 0 - vX_[4555];
+ vX_[4557] = vX_[4556] * vX_[424];
+ vX_[4558] = 0 - vX_[4555];
+ vX_[4559] = vX_[4558] * vX_[406];
+ vX_[4560] = vX_[4557] * vX_[421] + vX_[4559] * vX_[394];
+ vX_[4561] = vX_[4560] * 1 / vX_[470];
+ vX_[4562] = 0 - vX_[4561];
+ vX_[4563] = vX_[4562] * vX_[444];
+ vX_[4564] = 0 - vX_[4555];
+ vX_[4565] = vX_[4564] * vX_[428];
+ vX_[4566] = 0 - vX_[4555];
+ vX_[4567] = vX_[4566] * vX_[416];
+ vX_[4568] = 0 - vX_[4561];
+ vX_[4569] = vX_[4565] * vX_[1686] + vX_[4567] * vX_[421] + vX_[4568] * vX_[434];
+ vX_[4570] = 0 - vX_[4561];
+ vX_[4560] = vX_[4563] * vX_[1659] + vX_[4569] * vX_[392] + (vX_[4560] + vX_[4570] * vX_[470]) * -1;
+ vX_[4571] = 0 - vX_[4555];
+ vX_[4572] = 0 - vX_[4561];
+ vX_[4573] = vX_[4565] * vX_[1687] + vX_[4567] * vX_[439] + vX_[4571] * vX_[418] * -1 + vX_[4572] * vX_[496];
+ vX_[4574] = 0 - vX_[4561];
+ vX_[4575] = vX_[4557] * vX_[433] + vX_[4559] * vX_[421] + vX_[4574] * vX_[505];
+ vX_[4576] = 0 - (vX_[4563] * vX_[486] + vX_[4569] * vX_[1674] + vX_[4573] * vX_[487] + vX_[4575] * vX_[485]) +
+ vX_[4560] * vX_[637];
+ vX_[4577] = 0 - vX_[4576];
+ vX_[4578] = 0 - vX_[4561];
+ vX_[4579] = vX_[4565] * vX_[421] + vX_[4567] * vX_[394] + vX_[4578] * vX_[482];
+ vX_[4580] = 0 - vX_[4576];
+ vX_[4581] = 0 - (vX_[4579] * 0.207 + vX_[4563] * vX_[488] + vX_[4569] * vX_[1673] + vX_[4573] * vX_[473] +
+ vX_[4575] * vX_[487]) +
+ vX_[4560] * vX_[624] + vX_[4580] * vX_[668];
+ vX_[4582] = 0 - vX_[4581];
+ vX_[4583] = 0 - vX_[4576];
+ vX_[4584] = 0 - vX_[4581];
+ vX_[4579] = 0 - vX_[4579] * -1 + vX_[4560] * vX_[590] + vX_[4583] * vX_[666] + vX_[4584] * vX_[664];
+ vX_[4585] = 0 - vX_[4579];
+ vX_[4586] = 0 - vX_[4576];
+ vX_[4587] = 0 - vX_[4581];
+ vX_[4588] = 0 - vX_[4579];
+ vX_[4589] = 0 - (vX_[4563] * vX_[1651] + vX_[4569] * vX_[1672]) + vX_[4560] * vX_[723] + vX_[4586] * vX_[725] +
+ vX_[4587] * vX_[731] + vX_[4588] * vX_[737];
+ vX_[4590] = 0 - vX_[4589];
+ vX_[4591] = (0 - (vX_[4563] * vX_[473] + vX_[4569] * vX_[1671]) + vX_[4560] * vX_[620] + vX_[4577] * vX_[602] +
+ vX_[4582] * vX_[604] + vX_[4585] * vX_[722] + vX_[4590] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[4592] = 0 - vX_[4591];
+ vX_[4589] = (vX_[4589] + vX_[4592] * vX_[743]) * 1 / vX_[718];
+ vX_[4593] = 0 - vX_[4591];
+ vX_[4594] = 0 - vX_[4589];
+ vX_[4595] = 0 - vX_[4591];
+ vX_[4596] = 0 - vX_[4589];
+ vX_[4579] = (vX_[4579] + vX_[4595] * vX_[689] + vX_[4596] * vX_[736]) * 1 / vX_[721];
+ vX_[4597] = 0 - vX_[4579];
+ vX_[4581] = (vX_[4581] + vX_[4593] * vX_[682] + vX_[4594] * vX_[730] + vX_[4597] * vX_[509]) * 1 / vX_[618];
+ vX_[4598] = 0 - vX_[4591];
+ vX_[4599] = 0 - vX_[4589];
+ vX_[4600] = 0 - vX_[4579];
+ vX_[4601] = 0 - vX_[4581];
+ vX_[4576] =
+ (vX_[4576] + vX_[4598] * vX_[662] + vX_[4599] * vX_[633] + vX_[4600] * vX_[691] + vX_[4601] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[4602] = 0 - vX_[4591];
+ vX_[4603] = 0 - vX_[4589];
+ vX_[4604] = 0 - vX_[4579];
+ vX_[4605] = 0 - vX_[4581];
+ vX_[4606] = 0 - vX_[4576];
+ vX_[4607] = (0 - vX_[4560] + vX_[4602] * vX_[510] + vX_[4603] * vX_[518] + vX_[4604] * vX_[690] +
+ vX_[4605] * vX_[628] + vX_[4606] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4608] =
+ vX_[4591] * vX_[126] + vX_[4589] * vX_[1] + vX_[4581] * vX_[140] + vX_[4576] * vX_[138] + vX_[4607] * vX_[706];
+ vX_[4609] = vX_[4579] + vX_[4581] * 0.207;
+ vX_[4610] = vX_[4609] * 1 / vX_[123];
+ vX_[4611] = vX_[4608] * 1 / vX_[123];
+ vX_[4612] =
+ vX_[4591] * vX_[729] + vX_[4589] * vX_[126] + vX_[4581] * vX_[728] + vX_[4576] * vX_[727] + vX_[4607] * vX_[27];
+ vX_[4613] = vX_[4612] * 1 / vX_[123];
+ vX_[4614] = vX_[4607] * 1 / vX_[123];
+ vX_[4615] = vX_[4581] * vX_[126] + vX_[4576] * vX_[1];
+ vX_[4616] = vX_[4615] * 1 / vX_[123];
+ vX_[4617] = vX_[4581] * vX_[139] + vX_[4576] * vX_[126];
+ vX_[4618] = vX_[4617] * 1 / vX_[123];
+ vX_[4619] = vX_[4607] - (vX_[4610] * vX_[135] + vX_[4611] * vX_[97] + vX_[4613] * vX_[88] + vX_[4614] * vX_[123] +
+ vX_[4616] * vX_[148] + vX_[4618] * vX_[157]);
+ vX_[4620] = vX_[4608] + vX_[4619] * 0.08;
+ vX_[4621] = vX_[4619] * vX_[76] + vX_[4617] * vX_[4];
+ vX_[4622] = vX_[4620] + vX_[4621] * -0.35;
+ vX_[4623] = 0 - vX_[4622];
+ vX_[4624] = vX_[4609] * vX_[750] + vX_[4612] * vX_[751] + vX_[4615] * vX_[752];
+ vX_[4625] = vX_[4609] * vX_[754] + vX_[4612] * vX_[75] + vX_[4615] * vX_[93];
+ vX_[4626] = vX_[4624] * 1 / vX_[72];
+ vX_[4627] = vX_[4625] * 1 / vX_[72];
+ vX_[4628] = vX_[4615] * 1 / vX_[72];
+ vX_[4629] = vX_[4621] * 1 / vX_[72];
+ vX_[4630] = vX_[4619] * vX_[4] + vX_[4617] * vX_[75];
+ vX_[4631] = vX_[4630] * 1 / vX_[72];
+ vX_[4632] = vX_[4615] - (vX_[4626] * vX_[83] + vX_[4627] * vX_[70] + vX_[4628] * vX_[72] + vX_[4629] * vX_[79] +
+ vX_[4631] * vX_[60]);
+ vX_[4633] = vX_[4624] * vX_[7] + vX_[4625] * vX_[756] + vX_[4632] * vX_[764];
+ vX_[4634] = 0 - vX_[4633];
+ vX_[4635] = vX_[4624] * vX_[51] + vX_[4625] * vX_[7] + vX_[4632] * vX_[54];
+ vX_[4636] = 0 - vX_[4635];
+ vX_[4637] = vX_[4632] - (vX_[4633] * 38.1956380581338 * 0.1104774 + vX_[4635] * 38.1956380581338 * 0.0004405 +
+ vX_[4632] * 38.1956380581338 * 0.026181);
+ vX_[4638] = 0 - vX_[4637];
+ vX_[4639] = vX_[4621] * vX_[7] + vX_[4630] * vX_[52];
+ vX_[4640] = 0 - vX_[4639];
+ vX_[4641] = vX_[4621] * vX_[51] + vX_[4630] * vX_[7];
+ vX_[4642] = 0 - vX_[4641];
+ vX_[4643] = 0 - vX_[4637];
+ vX_[4644] = 0 - vX_[4639];
+ vX_[4645] = 0 - vX_[4641];
+ vX_[4646] = vX_[4643] * vX_[126] + vX_[4644] * vX_[803] + vX_[4645] * vX_[806];
+ vX_[4647] = 0 - vX_[4639];
+ vX_[4648] = 0 - vX_[4641];
+ vX_[4649] = vX_[4647] * vX_[812] + vX_[4648] * vX_[816];
+ vX_[4650] = 0 - vX_[4649];
+ vX_[4651] = vX_[4623] * vX_[1] + vX_[4634] * vX_[771] + vX_[4636] * vX_[776] + vX_[4638] * vX_[780] +
+ vX_[4640] * vX_[789] + vX_[4642] * vX_[797] + vX_[4646] * vX_[810] + vX_[4650] * vX_[824];
+ vX_[4652] = vX_[4651] * vX_[951];
+ vX_[4653] = 0 - vX_[4633];
+ vX_[4654] = 0 - vX_[4635];
+ vX_[4655] = 0 - vX_[4637];
+ vX_[4656] = 0 - vX_[4639];
+ vX_[4657] = 0 - vX_[4641];
+ vX_[4658] = 0 - vX_[4646];
+ vX_[4659] = 0 - vX_[4637];
+ vX_[4660] = 0 - vX_[4639];
+ vX_[4661] = 0 - vX_[4641];
+ vX_[4662] = vX_[4659] * vX_[1] + vX_[4660] * vX_[770] + vX_[4661] * vX_[775];
+ vX_[4663] = vX_[4653] * vX_[812] + vX_[4654] * vX_[815] + vX_[4655] * vX_[957] + vX_[4656] * vX_[963] +
+ vX_[4657] * vX_[968] + vX_[4658] * vX_[975] + vX_[4662] * vX_[824];
+ vX_[4664] = vX_[4663] * vX_[988];
+ vX_[4665] = 0 - vX_[4652] - vX_[4664];
+ vX_[4666] = vX_[4651] * vX_[984];
+ vX_[4667] = 0 - vX_[4622];
+ vX_[4668] = 0 - vX_[4633];
+ vX_[4669] = 0 - vX_[4635];
+ vX_[4670] = 0 - vX_[4637];
+ vX_[4671] = 0 - vX_[4639];
+ vX_[4672] = 0 - vX_[4641];
+ vX_[4673] = 0 - vX_[4662];
+ vX_[4674] = vX_[4667] * vX_[126] + vX_[4668] * vX_[801] + vX_[4669] * vX_[805] + vX_[4670] * vX_[1010] +
+ vX_[4671] * vX_[1018] + vX_[4672] * vX_[1026] + vX_[4673] * vX_[810] + vX_[4649] * vX_[975];
+ vX_[4675] = vX_[4674] * vX_[951];
+ vX_[4676] = vX_[4666] + vX_[4675];
+ vX_[4677] = vX_[4663] * vX_[984];
+ vX_[4678] = vX_[4674] * vX_[988];
+ vX_[4679] = vX_[4677] + vX_[4678];
+ vX_[4680] = vX_[4663] * vX_[951];
+ vX_[4681] = vX_[4651] * vX_[988];
+ vX_[4682] = vX_[4680] - vX_[4681];
+ vX_[4665] = vX_[4665] * vX_[1003] +
+ (vX_[4665] * vX_[1002] + vX_[4676] * vX_[1033] + vX_[4679] * vX_[1037] + vX_[4682] * vX_[1041]) * 2.;
+ vX_[4678] = 0 - vX_[4677] + vX_[4678];
+ vX_[4675] = vX_[4666] - vX_[4675];
+ vX_[4682] = vX_[4682] * vX_[1003] + vX_[4678] * vX_[1034] + vX_[4675] * vX_[892];
+ vX_[4666] = 0 - vX_[4682];
+ vX_[4677] = vX_[4665] * vX_[1001] + vX_[4666] * vX_[997];
+ vX_[4683] = vX_[4674] * vX_[984];
+ vX_[4664] = 0 - vX_[4683] - vX_[4664];
+ vX_[4681] = vX_[4680] + vX_[4681];
+ vX_[4664] = vX_[4676] * vX_[1003] + vX_[4664] * vX_[1034] +
+ (vX_[4664] * vX_[1033] + vX_[4681] * vX_[1037] + vX_[4678] * vX_[1041]) * 2.;
+ vX_[4678] = 0 - vX_[4664];
+ vX_[4683] = 0 - vX_[4683] - vX_[4652];
+ vX_[4683] = vX_[4679] * vX_[1003] + vX_[4681] * vX_[1034] + vX_[4683] * vX_[892] +
+ (vX_[4683] * vX_[1037] + vX_[4675] * vX_[1041]) * 2.;
+ vX_[4681] = vX_[4678] * vX_[997] + vX_[4683] * vX_[1001];
+ vX_[4675] = vX_[4664] * vX_[1001] + vX_[4683] * vX_[997];
+ vX_[4679] = vX_[4665] * vX_[997] + vX_[4682] * vX_[1001];
+ vX_[4652] = vX_[4591] * vX_[235] + vX_[4589] * vX_[1030] + vX_[4581] * vX_[250] + vX_[4576] * vX_[248] +
+ vX_[4607] * vX_[1038];
+ vX_[4676] = vX_[4607] * -1;
+ vX_[4680] = vX_[4579] * -1 + vX_[4581] * 0.207;
+ vX_[4684] = vX_[4680] * 1 / vX_[232];
+ vX_[4685] = vX_[4652] * 1 / vX_[232];
+ vX_[4686] = vX_[4591] * vX_[1050] + vX_[4589] * vX_[1051] + vX_[4581] * vX_[1052] + vX_[4576] * vX_[1053] +
+ vX_[4607] * vX_[164];
+ vX_[4687] = vX_[4686] * 1 / vX_[232];
+ vX_[4688] = vX_[4676] * 1 / vX_[232];
+ vX_[4689] = vX_[4581] * vX_[235] + vX_[4576] * vX_[249];
+ vX_[4690] = vX_[4689] * 1 / vX_[232];
+ vX_[4691] = vX_[4581] * vX_[249] + vX_[4576] * vX_[247];
+ vX_[4692] = vX_[4691] * 1 / vX_[232];
+ vX_[4676] = vX_[4676] - (vX_[4684] * vX_[244] + vX_[4685] * vX_[206] + vX_[4687] * vX_[196] + vX_[4688] * vX_[232] +
+ vX_[4690] * vX_[258] + vX_[4692] * vX_[267]);
+ vX_[4693] = vX_[4652] * -1 + vX_[4676] * -0.08;
+ vX_[4694] = vX_[4676] * vX_[186] + vX_[4691] * vX_[195];
+ vX_[4695] = vX_[4693] + vX_[4694] * -0.35;
+ vX_[4696] = 0 - vX_[4695];
+ vX_[4697] = vX_[4680] * vX_[186] + vX_[4686] * vX_[1065] + vX_[4689] * vX_[1066];
+ vX_[4698] = vX_[4680] * vX_[166] + vX_[4686] * vX_[186] + vX_[4689] * vX_[201];
+ vX_[4699] = vX_[4689] * -1;
+ vX_[4700] = vX_[4697] * 1 / vX_[183];
+ vX_[4701] = vX_[4698] * 1 / vX_[183];
+ vX_[4702] = vX_[4699] * 1 / vX_[183];
+ vX_[4703] = vX_[4694] * 1 / vX_[183];
+ vX_[4704] = vX_[4676] * vX_[166] + vX_[4691] * vX_[186];
+ vX_[4705] = vX_[4704] * 1 / vX_[183];
+ vX_[4699] = vX_[4699] - (vX_[4700] * vX_[190] + vX_[4701] * vX_[181] + vX_[4702] * vX_[183] + vX_[4703] * 2.1e-05 +
+ vX_[4705] * -0.000102);
+ vX_[4706] = vX_[4697] * vX_[169] + vX_[4698] * vX_[1069] + vX_[4699] * vX_[1077];
+ vX_[4707] = 0 - vX_[4706];
+ vX_[4708] = vX_[4697] * vX_[167] + vX_[4698] * vX_[169] + vX_[4699] * vX_[168];
+ vX_[4709] = 0 - vX_[4708];
+ vX_[4710] = vX_[4699] - (vX_[4706] * 38.1956380581338 * 0.110125 + vX_[4708] * 38.1956380581338 * 0.000881 +
+ vX_[4699] * 38.1956380581338 * 0.026181);
+ vX_[4711] = 0 - vX_[4710];
+ vX_[4712] = vX_[4694] * vX_[169] + vX_[4704] * vX_[175];
+ vX_[4713] = 0 - vX_[4712];
+ vX_[4714] = vX_[4694] * vX_[167] + vX_[4704] * vX_[169];
+ vX_[4715] = 0 - vX_[4714];
+ vX_[4716] = 0 - vX_[4710];
+ vX_[4717] = 0 - vX_[4712];
+ vX_[4718] = 0 - vX_[4714];
+ vX_[4719] = vX_[4716] * vX_[1111] + vX_[4717] * vX_[1116] + vX_[4718] * vX_[1120];
+ vX_[4720] = 0 - vX_[4712];
+ vX_[4721] = 0 - vX_[4714];
+ vX_[4722] = vX_[4720] * vX_[1126] + vX_[4721] * vX_[1130];
+ vX_[4723] = 0 - vX_[4722];
+ vX_[4724] = vX_[4696] * vX_[163] + vX_[4707] * vX_[1083] + vX_[4709] * vX_[1088] + vX_[4711] * vX_[1092] +
+ vX_[4713] * vX_[1101] + vX_[4715] * vX_[1109] + vX_[4719] * vX_[1124] + vX_[4723] * vX_[1138];
+ vX_[4725] = vX_[4724] * vX_[1262];
+ vX_[4726] = 0 - vX_[4706];
+ vX_[4727] = 0 - vX_[4708];
+ vX_[4728] = 0 - vX_[4710];
+ vX_[4729] = 0 - vX_[4712];
+ vX_[4730] = 0 - vX_[4714];
+ vX_[4731] = 0 - vX_[4719];
+ vX_[4732] = 0 - vX_[4710];
+ vX_[4733] = 0 - vX_[4712];
+ vX_[4734] = 0 - vX_[4714];
+ vX_[4735] = vX_[4732] * vX_[163] + vX_[4733] * vX_[1082] + vX_[4734] * vX_[1086];
+ vX_[4736] = vX_[4726] * vX_[1126] + vX_[4727] * vX_[1129] + vX_[4728] * vX_[1268] + vX_[4729] * vX_[1274] +
+ vX_[4730] * vX_[1279] + vX_[4731] * vX_[1219] + vX_[4735] * vX_[1138];
+ vX_[4737] = vX_[4736] * vX_[1297];
+ vX_[4738] = 0 - vX_[4725] - vX_[4737];
+ vX_[4739] = vX_[4724] * vX_[1293];
+ vX_[4740] = 0 - vX_[4695];
+ vX_[4741] = 0 - vX_[4706];
+ vX_[4742] = 0 - vX_[4708];
+ vX_[4743] = 0 - vX_[4710];
+ vX_[4744] = 0 - vX_[4712];
+ vX_[4745] = 0 - vX_[4714];
+ vX_[4746] = 0 - vX_[4735];
+ vX_[4747] = vX_[4740] * vX_[1314] + vX_[4741] * vX_[1114] + vX_[4742] * vX_[1119] + vX_[4743] * vX_[1321] +
+ vX_[4744] * vX_[1329] + vX_[4745] * vX_[1337] + vX_[4746] * vX_[1124] + vX_[4722] * vX_[1219];
+ vX_[4748] = vX_[4747] * vX_[1262];
+ vX_[4749] = vX_[4739] + vX_[4748];
+ vX_[4750] = vX_[4736] * vX_[1293];
+ vX_[4751] = vX_[4747] * vX_[1297];
+ vX_[4752] = vX_[4750] + vX_[4751];
+ vX_[4753] = vX_[4736] * vX_[1262];
+ vX_[4754] = vX_[4724] * vX_[1297];
+ vX_[4755] = vX_[4753] - vX_[4754];
+ vX_[4738] = vX_[4738] * vX_[1312] +
+ (vX_[4738] * vX_[1311] + vX_[4749] * vX_[1344] + vX_[4752] * vX_[1348] + vX_[4755] * vX_[1352]) * 2.;
+ vX_[4751] = 0 - vX_[4750] + vX_[4751];
+ vX_[4748] = vX_[4739] - vX_[4748];
+ vX_[4755] = vX_[4755] * vX_[1312] + vX_[4751] * vX_[1345] + vX_[4748] * vX_[1208];
+ vX_[4739] = 0 - vX_[4755];
+ vX_[4750] = vX_[4738] * vX_[1310] + vX_[4739] * vX_[1306];
+ vX_[4756] = vX_[4747] * vX_[1293];
+ vX_[4737] = 0 - vX_[4756] - vX_[4737];
+ vX_[4754] = vX_[4753] + vX_[4754];
+ vX_[4737] = vX_[4749] * vX_[1312] + vX_[4737] * vX_[1345] +
+ (vX_[4737] * vX_[1344] + vX_[4754] * vX_[1348] + vX_[4751] * vX_[1352]) * 2.;
+ vX_[4751] = 0 - vX_[4737];
+ vX_[4756] = 0 - vX_[4756] - vX_[4725];
+ vX_[4756] = vX_[4752] * vX_[1312] + vX_[4754] * vX_[1345] + vX_[4756] * vX_[1208] +
+ (vX_[4756] * vX_[1348] + vX_[4748] * vX_[1352]) * 2.;
+ vX_[4754] = vX_[4751] * vX_[1306] + vX_[4756] * vX_[1310];
+ vX_[4748] = vX_[4737] * vX_[1310] + vX_[4756] * vX_[1306];
+ vX_[4752] = vX_[4738] * vX_[1306] + vX_[4755] * vX_[1310];
+ vX_[4725] = vX_[4591] * vX_[354] + vX_[4589] * vX_[273] + vX_[4581] * vX_[368] + vX_[4576] * vX_[366] +
+ vX_[4607] * vX_[1341];
+ vX_[4749] = vX_[4579] + vX_[4581] * 0.207;
+ vX_[4753] = vX_[4749] * 1 / vX_[351];
+ vX_[4757] = vX_[4725] * 1 / vX_[351];
+ vX_[4758] = vX_[4591] * vX_[1359] + vX_[4589] * vX_[354] + vX_[4581] * vX_[1360] + vX_[4576] * vX_[1361] +
+ vX_[4607] * vX_[274];
+ vX_[4759] = vX_[4758] * 1 / vX_[351];
+ vX_[4760] = vX_[4607] * 1 / vX_[351];
+ vX_[4761] = vX_[4581] * vX_[354] + vX_[4576] * vX_[273];
+ vX_[4762] = vX_[4761] * 1 / vX_[351];
+ vX_[4763] = vX_[4581] * vX_[367] + vX_[4576] * vX_[354];
+ vX_[4764] = vX_[4763] * 1 / vX_[351];
+ vX_[4765] = vX_[4607] - (vX_[4753] * vX_[363] + vX_[4757] * vX_[325] + vX_[4759] * vX_[316] + vX_[4760] * vX_[351] +
+ vX_[4762] * vX_[376] + vX_[4764] * vX_[385]);
+ vX_[4766] = vX_[4725] + vX_[4765] * 0.08;
+ vX_[4767] = vX_[4765] * vX_[304] + vX_[4763] * vX_[276];
+ vX_[4768] = vX_[4766] + vX_[4767] * -0.35;
+ vX_[4769] = 0 - vX_[4768];
+ vX_[4770] = vX_[4749] * vX_[1374] + vX_[4758] * vX_[1375] + vX_[4761] * vX_[1376];
+ vX_[4771] = vX_[4749] * vX_[1378] + vX_[4758] * vX_[303] + vX_[4761] * vX_[321];
+ vX_[4772] = vX_[4770] * 1 / vX_[300];
+ vX_[4773] = vX_[4771] * 1 / vX_[300];
+ vX_[4774] = vX_[4761] * 1 / vX_[300];
+ vX_[4775] = vX_[4767] * 1 / vX_[300];
+ vX_[4776] = vX_[4765] * vX_[276] + vX_[4763] * vX_[303];
+ vX_[4777] = vX_[4776] * 1 / vX_[300];
+ vX_[4778] = vX_[4761] - (vX_[4772] * vX_[311] + vX_[4773] * vX_[298] + vX_[4774] * vX_[300] + vX_[4775] * vX_[307] +
+ vX_[4777] * vX_[288]);
+ vX_[4779] = vX_[4770] * vX_[277] + vX_[4771] * vX_[1380] + vX_[4778] * vX_[1388];
+ vX_[4780] = 0 - vX_[4779];
+ vX_[4781] = vX_[4770] * vX_[279] + vX_[4771] * vX_[277] + vX_[4778] * vX_[282];
+ vX_[4782] = 0 - vX_[4781];
+ vX_[4783] = vX_[4778] - (vX_[4779] * 38.1956380581338 * 0.1104774 + vX_[4781] * 38.1956380581338 * -0.0004405 +
+ vX_[4778] * 38.1956380581338 * 0.026181);
+ vX_[4784] = 0 - vX_[4783];
+ vX_[4785] = vX_[4767] * vX_[277] + vX_[4776] * vX_[280];
+ vX_[4786] = 0 - vX_[4785];
+ vX_[4787] = vX_[4767] * vX_[279] + vX_[4776] * vX_[277];
+ vX_[4788] = 0 - vX_[4787];
+ vX_[4789] = 0 - vX_[4783];
+ vX_[4790] = 0 - vX_[4785];
+ vX_[4791] = 0 - vX_[4787];
+ vX_[4792] = vX_[4789] * vX_[354] + vX_[4790] * vX_[1428] + vX_[4791] * vX_[1431];
+ vX_[4793] = 0 - vX_[4785];
+ vX_[4794] = 0 - vX_[4787];
+ vX_[4795] = vX_[4793] * vX_[1437] + vX_[4794] * vX_[1441];
+ vX_[4796] = 0 - vX_[4795];
+ vX_[4797] = vX_[4769] * vX_[273] + vX_[4780] * vX_[1395] + vX_[4782] * vX_[1400] + vX_[4784] * vX_[1404] +
+ vX_[4786] * vX_[1413] + vX_[4788] * vX_[1422] + vX_[4792] * vX_[1435] + vX_[4796] * vX_[1449];
+ vX_[4798] = vX_[4797] * vX_[1574];
+ vX_[4799] = 0 - vX_[4779];
+ vX_[4800] = 0 - vX_[4781];
+ vX_[4801] = 0 - vX_[4783];
+ vX_[4802] = 0 - vX_[4785];
+ vX_[4803] = 0 - vX_[4787];
+ vX_[4804] = 0 - vX_[4792];
+ vX_[4805] = 0 - vX_[4783];
+ vX_[4806] = 0 - vX_[4785];
+ vX_[4807] = 0 - vX_[4787];
+ vX_[4808] = vX_[4805] * vX_[273] + vX_[4806] * vX_[1394] + vX_[4807] * vX_[1399];
+ vX_[4809] = vX_[4799] * vX_[1437] + vX_[4800] * vX_[1440] + vX_[4801] * vX_[1580] + vX_[4802] * vX_[1586] +
+ vX_[4803] * vX_[1591] + vX_[4804] * vX_[1596] + vX_[4808] * vX_[1449];
+ vX_[4810] = vX_[4809] * vX_[1609];
+ vX_[4811] = 0 - vX_[4798] - vX_[4810];
+ vX_[4812] = vX_[4797] * vX_[1605];
+ vX_[4813] = 0 - vX_[4768];
+ vX_[4814] = 0 - vX_[4779];
+ vX_[4815] = 0 - vX_[4781];
+ vX_[4816] = 0 - vX_[4783];
+ vX_[4817] = 0 - vX_[4785];
+ vX_[4818] = 0 - vX_[4787];
+ vX_[4819] = 0 - vX_[4808];
+ vX_[4820] = vX_[4813] * vX_[354] + vX_[4814] * vX_[1426] + vX_[4815] * vX_[1430] + vX_[4816] * vX_[1631] +
+ vX_[4817] * vX_[1639] + vX_[4818] * vX_[1647] + vX_[4819] * vX_[1435] + vX_[4795] * vX_[1596];
+ vX_[4821] = vX_[4820] * vX_[1574];
+ vX_[4822] = vX_[4812] + vX_[4821];
+ vX_[4823] = vX_[4809] * vX_[1605];
+ vX_[4824] = vX_[4820] * vX_[1609];
+ vX_[4825] = vX_[4823] + vX_[4824];
+ vX_[4826] = vX_[4809] * vX_[1574];
+ vX_[4827] = vX_[4797] * vX_[1609];
+ vX_[4828] = vX_[4826] - vX_[4827];
+ vX_[4811] = vX_[4811] * vX_[1624] +
+ (vX_[4811] * vX_[1623] + vX_[4822] * vX_[1654] + vX_[4825] * vX_[1658] + vX_[4828] * vX_[1662]) * 2.;
+ vX_[4824] = 0 - vX_[4823] + vX_[4824];
+ vX_[4821] = vX_[4812] - vX_[4821];
+ vX_[4828] = vX_[4828] * vX_[1624] + vX_[4824] * vX_[1655] + vX_[4821] * vX_[1519];
+ vX_[4812] = 0 - vX_[4828];
+ vX_[4823] = vX_[4811] * vX_[1622] + vX_[4812] * vX_[1618];
+ vX_[4829] = vX_[4820] * vX_[1605];
+ vX_[4810] = 0 - vX_[4829] - vX_[4810];
+ vX_[4827] = vX_[4826] + vX_[4827];
+ vX_[4810] = vX_[4822] * vX_[1624] + vX_[4810] * vX_[1655] +
+ (vX_[4810] * vX_[1654] + vX_[4827] * vX_[1658] + vX_[4824] * vX_[1662]) * 2.;
+ vX_[4824] = 0 - vX_[4810];
+ vX_[4829] = 0 - vX_[4829] - vX_[4798];
+ vX_[4829] = vX_[4825] * vX_[1624] + vX_[4827] * vX_[1655] + vX_[4829] * vX_[1519] +
+ (vX_[4829] * vX_[1658] + vX_[4821] * vX_[1662]) * 2.;
+ vX_[4827] = vX_[4824] * vX_[1618] + vX_[4829] * vX_[1622];
+ vX_[4821] = vX_[4810] * vX_[1622] + vX_[4829] * vX_[1618];
+ vX_[4825] = vX_[4811] * vX_[1618] + vX_[4828] * vX_[1622];
+ vX_[4798] = vX_[4591] * vX_[473] + vX_[4589] * vX_[1651] + vX_[4581] * vX_[488] + vX_[4576] * vX_[486] +
+ vX_[4607] * vX_[1659];
+ vX_[4822] = vX_[4607] * -1;
+ vX_[4826] = vX_[4579] * -1 + vX_[4581] * 0.207;
+ vX_[4830] = vX_[4826] * 1 / vX_[470];
+ vX_[4831] = vX_[4798] * 1 / vX_[470];
+ vX_[4832] = vX_[4591] * vX_[1671] + vX_[4589] * vX_[1672] + vX_[4581] * vX_[1673] + vX_[4576] * vX_[1674] +
+ vX_[4607] * vX_[392];
+ vX_[4833] = vX_[4832] * 1 / vX_[470];
+ vX_[4834] = vX_[4822] * 1 / vX_[470];
+ vX_[4835] = vX_[4581] * vX_[473] + vX_[4576] * vX_[487];
+ vX_[4836] = vX_[4835] * 1 / vX_[470];
+ vX_[4837] = vX_[4581] * vX_[487] + vX_[4576] * vX_[485];
+ vX_[4838] = vX_[4837] * 1 / vX_[470];
+ vX_[4822] = vX_[4822] - (vX_[4561] + vX_[4830] * vX_[482] + vX_[4831] * vX_[444] + vX_[4833] * vX_[434] +
+ vX_[4834] * vX_[470] + vX_[4836] * vX_[496] + vX_[4838] * vX_[505]);
+ vX_[4839] = vX_[4798] * -1 + vX_[4822] * -0.08;
+ vX_[4840] = vX_[4822] * vX_[421] + vX_[4837] * vX_[433];
+ vX_[4841] = vX_[4839] + vX_[4840] * -0.35;
+ vX_[4842] = 0 - vX_[4841];
+ vX_[4843] = vX_[4826] * vX_[421] + vX_[4832] * vX_[1686] + vX_[4835] * vX_[1687];
+ vX_[4844] = vX_[4826] * vX_[394] + vX_[4832] * vX_[421] + vX_[4835] * vX_[439];
+ vX_[4845] = vX_[4835] * -1;
+ vX_[4846] = vX_[4843] * 1 / vX_[418];
+ vX_[4847] = vX_[4844] * 1 / vX_[418];
+ vX_[4848] = vX_[4845] * 1 / vX_[418];
+ vX_[4849] = vX_[4840] * 1 / vX_[418];
+ vX_[4850] = vX_[4822] * vX_[394] + vX_[4837] * vX_[421];
+ vX_[4851] = vX_[4850] * 1 / vX_[418];
+ vX_[4845] = vX_[4845] - (vX_[4555] + vX_[4846] * vX_[428] + vX_[4847] * vX_[416] + vX_[4848] * vX_[418] +
+ vX_[4849] * vX_[424] + vX_[4851] * vX_[406]);
+ vX_[4852] = vX_[4843] * vX_[395] + vX_[4844] * vX_[1690] + vX_[4845] * vX_[1698];
+ vX_[4853] = 0 - vX_[4852];
+ vX_[4854] = vX_[4843] * vX_[397] + vX_[4844] * vX_[395] + vX_[4845] * vX_[400];
+ vX_[4855] = 0 - vX_[4854];
+ vX_[4856] = vX_[4845] - (vX_[4852] * 38.1956380581338 * 0.1104774 + vX_[4854] * 38.1956380581338 * -0.0004405 +
+ vX_[4845] * 38.1956380581338 * 0.026181);
+ vX_[4857] = 0 - vX_[4856];
+ vX_[4858] = vX_[4840] * vX_[395] + vX_[4850] * vX_[398];
+ vX_[4859] = 0 - vX_[4858];
+ vX_[4860] = vX_[4840] * vX_[397] + vX_[4850] * vX_[395];
+ vX_[4861] = 0 - vX_[4860];
+ vX_[4862] = 0 - vX_[4856];
+ vX_[4863] = 0 - vX_[4858];
+ vX_[4864] = 0 - vX_[4860];
+ vX_[4865] = vX_[4862] * vX_[1734] + vX_[4863] * vX_[1739] + vX_[4864] * vX_[1743];
+ vX_[4866] = 0 - vX_[4858];
+ vX_[4867] = 0 - vX_[4860];
+ vX_[4868] = vX_[4866] * vX_[1749] + vX_[4867] * vX_[1753];
+ vX_[4869] = 0 - vX_[4868];
+ vX_[4870] = vX_[4842] * vX_[391] + vX_[4853] * vX_[1705] + vX_[4855] * vX_[1710] + vX_[4857] * vX_[1714] +
+ vX_[4859] * vX_[1723] + vX_[4861] * vX_[1732] + vX_[4865] * vX_[1747] + vX_[4869] * vX_[1761];
+ vX_[4871] = vX_[4870] * vX_[1887];
+ vX_[4872] = 0 - vX_[4852];
+ vX_[4873] = 0 - vX_[4854];
+ vX_[4874] = 0 - vX_[4856];
+ vX_[4875] = 0 - vX_[4858];
+ vX_[4876] = 0 - vX_[4860];
+ vX_[4877] = 0 - vX_[4865];
+ vX_[4878] = 0 - vX_[4856];
+ vX_[4879] = 0 - vX_[4858];
+ vX_[4880] = 0 - vX_[4860];
+ vX_[4881] = vX_[4878] * vX_[391] + vX_[4879] * vX_[1704] + vX_[4880] * vX_[1708];
+ vX_[4882] = vX_[4872] * vX_[1749] + vX_[4873] * vX_[1752] + vX_[4874] * vX_[1893] + vX_[4875] * vX_[1899] +
+ vX_[4876] * vX_[1904] + vX_[4877] * vX_[1911] + vX_[4881] * vX_[1761];
+ vX_[4883] = vX_[4882] * vX_[1923];
+ vX_[4884] = 0 - vX_[4871] - vX_[4883];
+ vX_[4885] = vX_[4870] * vX_[1919];
+ vX_[4886] = 0 - vX_[4841];
+ vX_[4887] = 0 - vX_[4852];
+ vX_[4888] = 0 - vX_[4854];
+ vX_[4889] = 0 - vX_[4856];
+ vX_[4890] = 0 - vX_[4858];
+ vX_[4891] = 0 - vX_[4860];
+ vX_[4892] = 0 - vX_[4881];
+ vX_[4893] = vX_[4886] * vX_[1940] + vX_[4887] * vX_[1737] + vX_[4888] * vX_[1742] + vX_[4889] * vX_[1947] +
+ vX_[4890] * vX_[1955] + vX_[4891] * vX_[1963] + vX_[4892] * vX_[1747] + vX_[4868] * vX_[1911];
+ vX_[4894] = vX_[4893] * vX_[1887];
+ vX_[4895] = vX_[4885] + vX_[4894];
+ vX_[4896] = vX_[4882] * vX_[1919];
+ vX_[4897] = vX_[4893] * vX_[1923];
+ vX_[4898] = vX_[4896] + vX_[4897];
+ vX_[4899] = vX_[4882] * vX_[1887];
+ vX_[4900] = vX_[4870] * vX_[1923];
+ vX_[4901] = vX_[4899] - vX_[4900];
+ vX_[4884] = vX_[4884] * vX_[1938] +
+ (vX_[4884] * vX_[1937] + vX_[4895] * vX_[1970] + vX_[4898] * vX_[1974] + vX_[4901] * vX_[1978]) * 2.;
+ vX_[4897] = 0 - vX_[4896] + vX_[4897];
+ vX_[4894] = vX_[4885] - vX_[4894];
+ vX_[4901] = vX_[4901] * vX_[1938] + vX_[4897] * vX_[1971] + vX_[4894] * vX_[1829];
+ vX_[4885] = 0 - vX_[4901];
+ vX_[4896] = vX_[4884] * vX_[1936] + vX_[4885] * vX_[1932];
+ vX_[4902] = vX_[4893] * vX_[1919];
+ vX_[4883] = 0 - vX_[4902] - vX_[4883];
+ vX_[4900] = vX_[4899] + vX_[4900];
+ vX_[4883] = vX_[4895] * vX_[1938] + vX_[4883] * vX_[1971] +
+ (vX_[4883] * vX_[1970] + vX_[4900] * vX_[1974] + vX_[4897] * vX_[1978]) * 2.;
+ vX_[4897] = 0 - vX_[4883];
+ vX_[4902] = 0 - vX_[4902] - vX_[4871];
+ vX_[4902] = vX_[4898] * vX_[1938] + vX_[4900] * vX_[1971] + vX_[4902] * vX_[1829] +
+ (vX_[4902] * vX_[1974] + vX_[4894] * vX_[1978]) * 2.;
+ vX_[4900] = vX_[4897] * vX_[1932] + vX_[4902] * vX_[1936];
+ vX_[4894] = vX_[4883] * vX_[1936] + vX_[4902] * vX_[1932];
+ vX_[4898] = vX_[4884] * vX_[1932] + vX_[4901] * vX_[1936];
+ vX_[4871] = vX_[4674] * vX_[1982] + vX_[4651] * vX_[1985] + vX_[4663] * vX_[1988];
+ vX_[4895] = vX_[4871] * vX_[950] * -1000.;
+ vX_[4899] = vX_[4895] * vX_[872];
+ vX_[4903] = vX_[4674] * vX_[1994] + vX_[4651] * vX_[1987] + vX_[4663] * vX_[1983];
+ vX_[4904] = vX_[4903] * vX_[950] * -1000.;
+ vX_[4905] = vX_[4904] * vX_[891];
+ vX_[4906] = 0 - vX_[4899] - vX_[4905];
+ vX_[4674] = vX_[4674] * vX_[1986] + vX_[4651] * vX_[1975] + vX_[4663] * vX_[1993];
+ vX_[4663] = vX_[4674] * vX_[950] * -1000.;
+ vX_[4651] = vX_[4663] * vX_[872];
+ vX_[4907] = vX_[4895] * vX_[909];
+ vX_[4908] = vX_[4651] + vX_[4907];
+ vX_[4909] = vX_[4663] * vX_[891];
+ vX_[4910] = vX_[4904] * vX_[909];
+ vX_[4911] = vX_[4909] + vX_[4910];
+ vX_[4912] = vX_[4895] * vX_[891];
+ vX_[4913] = vX_[4904] * vX_[872];
+ vX_[4914] = vX_[4912] - vX_[4913];
+ vX_[4906] = vX_[4906] * vX_[838] +
+ (vX_[4906] * vX_[837] + vX_[4908] * vX_[873] + vX_[4911] * vX_[842] + vX_[4914] * vX_[876]) * 2.;
+ vX_[4910] = 0 - vX_[4909] + vX_[4910];
+ vX_[4907] = vX_[4651] - vX_[4907];
+ vX_[4914] = vX_[4914] * vX_[838] + vX_[4910] * vX_[874] + vX_[4907] * vX_[843];
+ vX_[4651] = 0 - vX_[4914];
+ vX_[4909] = vX_[4906] * vX_[836] + vX_[4651] * vX_[832];
+ vX_[4915] = vX_[4663] * vX_[909];
+ vX_[4905] = 0 - vX_[4915] - vX_[4905];
+ vX_[4913] = vX_[4912] + vX_[4913];
+ vX_[4905] = vX_[4908] * vX_[838] + vX_[4905] * vX_[874] +
+ (vX_[4905] * vX_[873] + vX_[4913] * vX_[842] + vX_[4910] * vX_[876]) * 2.;
+ vX_[4910] = 0 - vX_[4905];
+ vX_[4915] = 0 - vX_[4915] - vX_[4899];
+ vX_[4915] = vX_[4911] * vX_[838] + vX_[4913] * vX_[874] + vX_[4915] * vX_[843] +
+ (vX_[4915] * vX_[842] + vX_[4907] * vX_[876]) * 2.;
+ vX_[4913] = vX_[4910] * vX_[832] + vX_[4915] * vX_[836];
+ vX_[4907] = vX_[4905] * vX_[836] + vX_[4915] * vX_[832];
+ vX_[4911] = vX_[4906] * vX_[832] + vX_[4914] * vX_[836];
+ vX_[4674] = vX_[4674] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[4674] * vX_[844] + vX_[4871] * vX_[910] + vX_[4903] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[4903] = vX_[4674] * vX_[935];
+ vX_[4871] = vX_[4674] * vX_[939];
+ vX_[4899] = (vX_[4903] * vX_[925] + vX_[4871] * vX_[926]) * 2.;
+ vX_[4908] = 0 - vX_[4871];
+ vX_[4912] = vX_[4908] * vX_[936] + vX_[4903] * vX_[927];
+ vX_[4916] = 0 - vX_[4912];
+ vX_[4917] = vX_[4899] * vX_[921] + vX_[4916] * vX_[917];
+ vX_[4918] = vX_[4674] * vX_[946];
+ vX_[4919] = 0 - vX_[4918];
+ vX_[4919] = vX_[4903] * vX_[922] + vX_[4919] * vX_[936] + (vX_[4919] * vX_[925] + vX_[4908] * vX_[928]) * 2.;
+ vX_[4908] = 0 - vX_[4919];
+ vX_[4918] = 0 - vX_[4918];
+ vX_[4918] = vX_[4871] * vX_[922] + vX_[4918] * vX_[927] + (vX_[4918] * vX_[926] + vX_[4903] * vX_[928]) * 2.;
+ vX_[4871] = vX_[4908] * vX_[917] + vX_[4918] * vX_[921];
+ vX_[4903] = vX_[4919] * vX_[921] + vX_[4918] * vX_[917];
+ vX_[4920] = vX_[4899] * vX_[917] + vX_[4912] * vX_[921];
+ vX_[4921] = vX_[4747] * vX_[2014] + vX_[4724] * vX_[2017] + vX_[4736] * vX_[2020];
+ vX_[4922] = vX_[4921] * vX_[1261] * -1000.;
+ vX_[4923] = vX_[4922] * vX_[1189];
+ vX_[4924] = vX_[4747] * vX_[2026] + vX_[4724] * vX_[2019] + vX_[4736] * vX_[2015];
+ vX_[4925] = vX_[4924] * vX_[1261] * -1000.;
+ vX_[4926] = vX_[4925] * vX_[1207];
+ vX_[4927] = 0 - vX_[4923] - vX_[4926];
+ vX_[4747] = vX_[4747] * vX_[2018] + vX_[4724] * vX_[2013] + vX_[4736] * vX_[2025];
+ vX_[4736] = vX_[4747] * vX_[1261] * -1000.;
+ vX_[4724] = vX_[4736] * vX_[1189];
+ vX_[4928] = vX_[4922] * vX_[1226];
+ vX_[4929] = vX_[4724] + vX_[4928];
+ vX_[4930] = vX_[4736] * vX_[1207];
+ vX_[4931] = vX_[4925] * vX_[1226];
+ vX_[4932] = vX_[4930] + vX_[4931];
+ vX_[4933] = vX_[4922] * vX_[1207];
+ vX_[4934] = vX_[4925] * vX_[1189];
+ vX_[4935] = vX_[4933] - vX_[4934];
+ vX_[4927] = vX_[4927] * vX_[1152] +
+ (vX_[4927] * vX_[1151] + vX_[4929] * vX_[1190] + vX_[4932] * vX_[1156] + vX_[4935] * vX_[1193]) * 2.;
+ vX_[4931] = 0 - vX_[4930] + vX_[4931];
+ vX_[4928] = vX_[4724] - vX_[4928];
+ vX_[4935] = vX_[4935] * vX_[1152] + vX_[4931] * vX_[1191] + vX_[4928] * vX_[1157];
+ vX_[4724] = 0 - vX_[4935];
+ vX_[4930] = vX_[4927] * vX_[1150] + vX_[4724] * vX_[1146];
+ vX_[4936] = vX_[4736] * vX_[1226];
+ vX_[4926] = 0 - vX_[4936] - vX_[4926];
+ vX_[4934] = vX_[4933] + vX_[4934];
+ vX_[4926] = vX_[4929] * vX_[1152] + vX_[4926] * vX_[1191] +
+ (vX_[4926] * vX_[1190] + vX_[4934] * vX_[1156] + vX_[4931] * vX_[1193]) * 2.;
+ vX_[4931] = 0 - vX_[4926];
+ vX_[4936] = 0 - vX_[4936] - vX_[4923];
+ vX_[4936] = vX_[4932] * vX_[1152] + vX_[4934] * vX_[1191] + vX_[4936] * vX_[1157] +
+ (vX_[4936] * vX_[1156] + vX_[4928] * vX_[1193]) * 2.;
+ vX_[4934] = vX_[4931] * vX_[1146] + vX_[4936] * vX_[1150];
+ vX_[4928] = vX_[4926] * vX_[1150] + vX_[4936] * vX_[1146];
+ vX_[4932] = vX_[4927] * vX_[1146] + vX_[4935] * vX_[1150];
+ vX_[4747] =
+ vX_[4747] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[4747] * vX_[1158] + vX_[4921] * vX_[1227] + vX_[4924] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[4924] = vX_[4747] * vX_[1250];
+ vX_[4921] = vX_[4747] * vX_[1181];
+ vX_[4923] = (vX_[4924] * vX_[1242] + vX_[4921] * vX_[1243]) * 2.;
+ vX_[4929] = 0 - vX_[4921];
+ vX_[4933] = vX_[4929] * vX_[1251] + vX_[4924] * vX_[1244];
+ vX_[4937] = 0 - vX_[4933];
+ vX_[4938] = vX_[4923] * vX_[1238] + vX_[4937] * vX_[1234];
+ vX_[4939] = vX_[4747] * vX_[1257];
+ vX_[4940] = 0 - vX_[4939];
+ vX_[4940] = vX_[4924] * vX_[1239] + vX_[4940] * vX_[1251] + (vX_[4940] * vX_[1242] + vX_[4929] * vX_[1245]) * 2.;
+ vX_[4929] = 0 - vX_[4940];
+ vX_[4939] = 0 - vX_[4939];
+ vX_[4939] = vX_[4921] * vX_[1239] + vX_[4939] * vX_[1244] + (vX_[4939] * vX_[1243] + vX_[4924] * vX_[1245]) * 2.;
+ vX_[4921] = vX_[4929] * vX_[1234] + vX_[4939] * vX_[1238];
+ vX_[4924] = vX_[4940] * vX_[1238] + vX_[4939] * vX_[1234];
+ vX_[4941] = vX_[4923] * vX_[1234] + vX_[4933] * vX_[1238];
+ vX_[4942] = vX_[4820] * vX_[2046] + vX_[4797] * vX_[2049] + vX_[4809] * vX_[2052];
+ vX_[4943] = vX_[4942] * vX_[1573] * -1000.;
+ vX_[4944] = vX_[4943] * vX_[1499];
+ vX_[4945] = vX_[4820] * vX_[2058] + vX_[4797] * vX_[2051] + vX_[4809] * vX_[2047];
+ vX_[4946] = vX_[4945] * vX_[1573] * -1000.;
+ vX_[4947] = vX_[4946] * vX_[1518];
+ vX_[4948] = 0 - vX_[4944] - vX_[4947];
+ vX_[4820] = vX_[4820] * vX_[2050] + vX_[4797] * vX_[2045] + vX_[4809] * vX_[2057];
+ vX_[4809] = vX_[4820] * vX_[1573] * -1000.;
+ vX_[4797] = vX_[4809] * vX_[1499];
+ vX_[4949] = vX_[4943] * vX_[1536];
+ vX_[4950] = vX_[4797] + vX_[4949];
+ vX_[4951] = vX_[4809] * vX_[1518];
+ vX_[4952] = vX_[4946] * vX_[1536];
+ vX_[4953] = vX_[4951] + vX_[4952];
+ vX_[4954] = vX_[4943] * vX_[1518];
+ vX_[4955] = vX_[4946] * vX_[1499];
+ vX_[4956] = vX_[4954] - vX_[4955];
+ vX_[4948] = vX_[4948] * vX_[1463] +
+ (vX_[4948] * vX_[1462] + vX_[4950] * vX_[1500] + vX_[4953] * vX_[1467] + vX_[4956] * vX_[1503]) * 2.;
+ vX_[4952] = 0 - vX_[4951] + vX_[4952];
+ vX_[4949] = vX_[4797] - vX_[4949];
+ vX_[4956] = vX_[4956] * vX_[1463] + vX_[4952] * vX_[1501] + vX_[4949] * vX_[1468];
+ vX_[4797] = 0 - vX_[4956];
+ vX_[4951] = vX_[4948] * vX_[1461] + vX_[4797] * vX_[1457];
+ vX_[4957] = vX_[4809] * vX_[1536];
+ vX_[4947] = 0 - vX_[4957] - vX_[4947];
+ vX_[4955] = vX_[4954] + vX_[4955];
+ vX_[4947] = vX_[4950] * vX_[1463] + vX_[4947] * vX_[1501] +
+ (vX_[4947] * vX_[1500] + vX_[4955] * vX_[1467] + vX_[4952] * vX_[1503]) * 2.;
+ vX_[4952] = 0 - vX_[4947];
+ vX_[4957] = 0 - vX_[4957] - vX_[4944];
+ vX_[4957] = vX_[4953] * vX_[1463] + vX_[4955] * vX_[1501] + vX_[4957] * vX_[1468] +
+ (vX_[4957] * vX_[1467] + vX_[4949] * vX_[1503]) * 2.;
+ vX_[4955] = vX_[4952] * vX_[1457] + vX_[4957] * vX_[1461];
+ vX_[4949] = vX_[4947] * vX_[1461] + vX_[4957] * vX_[1457];
+ vX_[4953] = vX_[4948] * vX_[1457] + vX_[4956] * vX_[1461];
+ vX_[4820] =
+ vX_[4820] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[4820] * vX_[1469] + vX_[4942] * vX_[1537] + vX_[4945] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[4945] = vX_[4820] * vX_[1560];
+ vX_[4942] = vX_[4820] * vX_[1491];
+ vX_[4944] = (vX_[4945] * vX_[1552] + vX_[4942] * vX_[1553]) * 2.;
+ vX_[4950] = 0 - vX_[4942];
+ vX_[4954] = vX_[4950] * vX_[1561] + vX_[4945] * vX_[1554];
+ vX_[4958] = 0 - vX_[4954];
+ vX_[4959] = vX_[4944] * vX_[1548] + vX_[4958] * vX_[1544];
+ vX_[4960] = vX_[4820] * vX_[1569];
+ vX_[4961] = 0 - vX_[4960];
+ vX_[4961] = vX_[4945] * vX_[1549] + vX_[4961] * vX_[1561] + (vX_[4961] * vX_[1552] + vX_[4950] * vX_[1555]) * 2.;
+ vX_[4950] = 0 - vX_[4961];
+ vX_[4960] = 0 - vX_[4960];
+ vX_[4960] = vX_[4942] * vX_[1549] + vX_[4960] * vX_[1554] + (vX_[4960] * vX_[1553] + vX_[4945] * vX_[1555]) * 2.;
+ vX_[4942] = vX_[4950] * vX_[1544] + vX_[4960] * vX_[1548];
+ vX_[4945] = vX_[4961] * vX_[1548] + vX_[4960] * vX_[1544];
+ vX_[4962] = vX_[4944] * vX_[1544] + vX_[4954] * vX_[1548];
+ vX_[4963] = vX_[4893] * vX_[2078] + vX_[4870] * vX_[2081] + vX_[4882] * vX_[2084];
+ vX_[4964] = vX_[4963] * vX_[1886] * -1000.;
+ vX_[4965] = vX_[4964] * vX_[1809];
+ vX_[4966] = vX_[4893] * vX_[2090] + vX_[4870] * vX_[2083] + vX_[4882] * vX_[2079];
+ vX_[4967] = vX_[4966] * vX_[1886] * -1000.;
+ vX_[4968] = vX_[4967] * vX_[1828];
+ vX_[4969] = 0 - vX_[4965] - vX_[4968];
+ vX_[4893] = vX_[4893] * vX_[2082] + vX_[4870] * vX_[2077] + vX_[4882] * vX_[2089];
+ vX_[4882] = vX_[4893] * vX_[1886] * -1000.;
+ vX_[4870] = vX_[4882] * vX_[1809];
+ vX_[4970] = vX_[4964] * vX_[1846];
+ vX_[4971] = vX_[4870] + vX_[4970];
+ vX_[4972] = vX_[4882] * vX_[1828];
+ vX_[4973] = vX_[4967] * vX_[1846];
+ vX_[4974] = vX_[4972] + vX_[4973];
+ vX_[4975] = vX_[4964] * vX_[1828];
+ vX_[4976] = vX_[4967] * vX_[1809];
+ vX_[4977] = vX_[4975] - vX_[4976];
+ vX_[4969] = vX_[4969] * vX_[1775] +
+ (vX_[4969] * vX_[1774] + vX_[4971] * vX_[1810] + vX_[4974] * vX_[1779] + vX_[4977] * vX_[1813]) * 2.;
+ vX_[4973] = 0 - vX_[4972] + vX_[4973];
+ vX_[4970] = vX_[4870] - vX_[4970];
+ vX_[4977] = vX_[4977] * vX_[1775] + vX_[4973] * vX_[1811] + vX_[4970] * vX_[1780];
+ vX_[4870] = 0 - vX_[4977];
+ vX_[4972] = vX_[4969] * vX_[1773] + vX_[4870] * vX_[1769];
+ vX_[4978] = vX_[4882] * vX_[1846];
+ vX_[4968] = 0 - vX_[4978] - vX_[4968];
+ vX_[4976] = vX_[4975] + vX_[4976];
+ vX_[4968] = vX_[4971] * vX_[1775] + vX_[4968] * vX_[1811] +
+ (vX_[4968] * vX_[1810] + vX_[4976] * vX_[1779] + vX_[4973] * vX_[1813]) * 2.;
+ vX_[4973] = 0 - vX_[4968];
+ vX_[4978] = 0 - vX_[4978] - vX_[4965];
+ vX_[4978] = vX_[4974] * vX_[1775] + vX_[4976] * vX_[1811] + vX_[4978] * vX_[1780] +
+ (vX_[4978] * vX_[1779] + vX_[4970] * vX_[1813]) * 2.;
+ vX_[4976] = vX_[4973] * vX_[1769] + vX_[4978] * vX_[1773];
+ vX_[4970] = vX_[4968] * vX_[1773] + vX_[4978] * vX_[1769];
+ vX_[4974] = vX_[4969] * vX_[1769] + vX_[4977] * vX_[1773];
+ vX_[4893] =
+ vX_[4893] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[4893] * vX_[1781] + vX_[4963] * vX_[1847] + vX_[4966] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[205] = vX_[4674] + vX_[4747] + vX_[4820] + vX_[4893];
+ vX_[4966] = vX_[4893] * vX_[1870];
+ vX_[4963] = vX_[4893] * vX_[1875];
+ vX_[4965] = (vX_[4966] * vX_[1862] + vX_[4963] * vX_[1863]) * 2.;
+ vX_[4971] = 0 - vX_[4963];
+ vX_[4975] = vX_[4971] * vX_[1871] + vX_[4966] * vX_[1864];
+ vX_[4979] = 0 - vX_[4975];
+ vX_[4980] = vX_[4965] * vX_[1858] + vX_[4979] * vX_[1854];
+ vX_[4981] = vX_[4893] * vX_[1882];
+ vX_[4982] = 0 - vX_[4981];
+ vX_[4982] = vX_[4966] * vX_[1859] + vX_[4982] * vX_[1871] + (vX_[4982] * vX_[1862] + vX_[4971] * vX_[1865]) * 2.;
+ vX_[4971] = 0 - vX_[4982];
+ vX_[4981] = 0 - vX_[4981];
+ vX_[4981] = vX_[4963] * vX_[1859] + vX_[4981] * vX_[1864] + (vX_[4981] * vX_[1863] + vX_[4966] * vX_[1865]) * 2.;
+ vX_[4963] = vX_[4971] * vX_[1854] + vX_[4981] * vX_[1858];
+ vX_[4966] = vX_[4982] * vX_[1858] + vX_[4981] * vX_[1854];
+ vX_[4983] = vX_[4965] * vX_[1854] + vX_[4975] * vX_[1858];
+ jac[25] = ((vX_[4677] * vX_[999] + vX_[4681] * vX_[994]) * vX_[1029] -
+ (vX_[4675] * vX_[999] + vX_[4679] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[4750] * vX_[1308] + vX_[4754] * vX_[1303]) * vX_[1340] -
+ (vX_[4748] * vX_[1308] + vX_[4752] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[4823] * vX_[1620] + vX_[4827] * vX_[1615]) * vX_[1650] -
+ (vX_[4821] * vX_[1620] + vX_[4825] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[4896] * vX_[1934] + vX_[4900] * vX_[1929]) * vX_[1966] -
+ (vX_[4894] * vX_[1934] + vX_[4898] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[4909] * vX_[834] + vX_[4913] * vX_[829]) * vX_[1992] -
+ (vX_[4907] * vX_[834] + vX_[4911] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[4917] * vX_[919] + vX_[4871] * vX_[914]) * vX_[1995] -
+ (vX_[4903] * vX_[919] + vX_[4920] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[4930] * vX_[1148] + vX_[4934] * vX_[1143]) * vX_[2024] -
+ (vX_[4928] * vX_[1148] + vX_[4932] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[4938] * vX_[1236] + vX_[4921] * vX_[1231]) * vX_[2027] -
+ (vX_[4924] * vX_[1236] + vX_[4941] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[4951] * vX_[1459] + vX_[4955] * vX_[1454]) * vX_[2056] -
+ (vX_[4949] * vX_[1459] + vX_[4953] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[4959] * vX_[1546] + vX_[4942] * vX_[1541]) * vX_[2059] -
+ (vX_[4945] * vX_[1546] + vX_[4962] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[4972] * vX_[1771] + vX_[4976] * vX_[1766]) * vX_[2088] -
+ (vX_[4970] * vX_[1771] + vX_[4974] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[4980] * vX_[1856] + vX_[4963] * vX_[1851]) * vX_[2091] -
+ (vX_[4966] * vX_[1856] + vX_[4983] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[4984] = -1. + -4.21975478400367 * vX_[1698] + 0.0168251785646079 * vX_[400];
+ vX_[4985] = vX_[4984] * 1 / vX_[418];
+ vX_[4986] = 0 - vX_[4985];
+ vX_[4987] = vX_[4986] * vX_[424];
+ vX_[4988] = 0 - vX_[4985];
+ vX_[4989] = vX_[4988] * vX_[406];
+ vX_[4990] = vX_[4987] * vX_[421] + vX_[4989] * vX_[394];
+ vX_[4991] = vX_[4990] * 1 / vX_[470];
+ vX_[4992] = 0 - vX_[4991];
+ vX_[4993] = vX_[4992] * vX_[444];
+ vX_[4994] = 0 - vX_[4985];
+ vX_[4995] = -4.21975478400367 * vX_[395] + 0.0168251785646079 * vX_[397] + vX_[4994] * vX_[428];
+ vX_[4996] = 0 - vX_[4985];
+ vX_[4997] = -4.21975478400367 * vX_[1690] + 0.0168251785646079 * vX_[395] + vX_[4996] * vX_[416];
+ vX_[4998] = 0 - vX_[4991];
+ vX_[4999] = vX_[4995] * vX_[1686] + vX_[4997] * vX_[421] + vX_[4998] * vX_[434];
+ vX_[5000] = 0 - vX_[4991];
+ vX_[4990] = vX_[4993] * vX_[1659] + vX_[4999] * vX_[392] + (vX_[4990] + vX_[5000] * vX_[470]) * -1;
+ vX_[5001] = 0 - vX_[4985];
+ vX_[5002] = 0 - vX_[4991];
+ vX_[4984] =
+ vX_[4995] * vX_[1687] + vX_[4997] * vX_[439] + (vX_[4984] + vX_[5001] * vX_[418]) * -1 + vX_[5002] * vX_[496];
+ vX_[5003] = 0 - vX_[4991];
+ vX_[5004] = vX_[4987] * vX_[433] + vX_[4989] * vX_[421] + vX_[5003] * vX_[505];
+ vX_[5005] = 0 - (vX_[4993] * vX_[486] + vX_[4999] * vX_[1674] + vX_[4984] * vX_[487] + vX_[5004] * vX_[485]) +
+ vX_[4990] * vX_[637];
+ vX_[5006] = 0 - vX_[5005];
+ vX_[5007] = 0 - vX_[4991];
+ vX_[5008] = vX_[4995] * vX_[421] + vX_[4997] * vX_[394] + vX_[5007] * vX_[482];
+ vX_[5009] = 0 - vX_[5005];
+ vX_[5010] = 0 - (vX_[5008] * 0.207 + vX_[4993] * vX_[488] + vX_[4999] * vX_[1673] + vX_[4984] * vX_[473] +
+ vX_[5004] * vX_[487]) +
+ vX_[4990] * vX_[624] + vX_[5009] * vX_[668];
+ vX_[5011] = 0 - vX_[5010];
+ vX_[5012] = 0 - vX_[5005];
+ vX_[5013] = 0 - vX_[5010];
+ vX_[5008] = 0 - vX_[5008] * -1 + vX_[4990] * vX_[590] + vX_[5012] * vX_[666] + vX_[5013] * vX_[664];
+ vX_[5014] = 0 - vX_[5008];
+ vX_[5015] = 0 - vX_[5005];
+ vX_[5016] = 0 - vX_[5010];
+ vX_[5017] = 0 - vX_[5008];
+ vX_[5018] = 0 - (vX_[4993] * vX_[1651] + vX_[4999] * vX_[1672]) + vX_[4990] * vX_[723] + vX_[5015] * vX_[725] +
+ vX_[5016] * vX_[731] + vX_[5017] * vX_[737];
+ vX_[5019] = 0 - vX_[5018];
+ vX_[5020] = (0 - (vX_[4993] * vX_[473] + vX_[4999] * vX_[1671]) + vX_[4990] * vX_[620] + vX_[5006] * vX_[602] +
+ vX_[5011] * vX_[604] + vX_[5014] * vX_[722] + vX_[5019] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[5021] = 0 - vX_[5020];
+ vX_[5018] = (vX_[5018] + vX_[5021] * vX_[743]) * 1 / vX_[718];
+ vX_[5022] = 0 - vX_[5020];
+ vX_[5023] = 0 - vX_[5018];
+ vX_[5024] = 0 - vX_[5020];
+ vX_[5025] = 0 - vX_[5018];
+ vX_[5008] = (vX_[5008] + vX_[5024] * vX_[689] + vX_[5025] * vX_[736]) * 1 / vX_[721];
+ vX_[5026] = 0 - vX_[5008];
+ vX_[5010] = (vX_[5010] + vX_[5022] * vX_[682] + vX_[5023] * vX_[730] + vX_[5026] * vX_[509]) * 1 / vX_[618];
+ vX_[5027] = 0 - vX_[5020];
+ vX_[5028] = 0 - vX_[5018];
+ vX_[5029] = 0 - vX_[5008];
+ vX_[5030] = 0 - vX_[5010];
+ vX_[5005] =
+ (vX_[5005] + vX_[5027] * vX_[662] + vX_[5028] * vX_[633] + vX_[5029] * vX_[691] + vX_[5030] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[5031] = 0 - vX_[5020];
+ vX_[5032] = 0 - vX_[5018];
+ vX_[5033] = 0 - vX_[5008];
+ vX_[5034] = 0 - vX_[5010];
+ vX_[5035] = 0 - vX_[5005];
+ vX_[5036] = (0 - vX_[4990] + vX_[5031] * vX_[510] + vX_[5032] * vX_[518] + vX_[5033] * vX_[690] +
+ vX_[5034] * vX_[628] + vX_[5035] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5037] =
+ vX_[5020] * vX_[126] + vX_[5018] * vX_[1] + vX_[5010] * vX_[140] + vX_[5005] * vX_[138] + vX_[5036] * vX_[706];
+ vX_[5038] = vX_[5008] + vX_[5010] * 0.207;
+ vX_[5039] = vX_[5038] * 1 / vX_[123];
+ vX_[5040] = vX_[5037] * 1 / vX_[123];
+ vX_[5041] =
+ vX_[5020] * vX_[729] + vX_[5018] * vX_[126] + vX_[5010] * vX_[728] + vX_[5005] * vX_[727] + vX_[5036] * vX_[27];
+ vX_[5042] = vX_[5041] * 1 / vX_[123];
+ vX_[5043] = vX_[5036] * 1 / vX_[123];
+ vX_[5044] = vX_[5010] * vX_[126] + vX_[5005] * vX_[1];
+ vX_[5045] = vX_[5044] * 1 / vX_[123];
+ vX_[5046] = vX_[5010] * vX_[139] + vX_[5005] * vX_[126];
+ vX_[5047] = vX_[5046] * 1 / vX_[123];
+ vX_[5048] = vX_[5036] - (vX_[5039] * vX_[135] + vX_[5040] * vX_[97] + vX_[5042] * vX_[88] + vX_[5043] * vX_[123] +
+ vX_[5045] * vX_[148] + vX_[5047] * vX_[157]);
+ vX_[5049] = vX_[5037] + vX_[5048] * 0.08;
+ vX_[5050] = vX_[5048] * vX_[76] + vX_[5046] * vX_[4];
+ vX_[5051] = vX_[5049] + vX_[5050] * -0.35;
+ vX_[5052] = 0 - vX_[5051];
+ vX_[5053] = vX_[5038] * vX_[750] + vX_[5041] * vX_[751] + vX_[5044] * vX_[752];
+ vX_[5054] = vX_[5038] * vX_[754] + vX_[5041] * vX_[75] + vX_[5044] * vX_[93];
+ vX_[5055] = vX_[5053] * 1 / vX_[72];
+ vX_[5056] = vX_[5054] * 1 / vX_[72];
+ vX_[5057] = vX_[5044] * 1 / vX_[72];
+ vX_[5058] = vX_[5050] * 1 / vX_[72];
+ vX_[5059] = vX_[5048] * vX_[4] + vX_[5046] * vX_[75];
+ vX_[5060] = vX_[5059] * 1 / vX_[72];
+ vX_[5061] = vX_[5044] - (vX_[5055] * vX_[83] + vX_[5056] * vX_[70] + vX_[5057] * vX_[72] + vX_[5058] * vX_[79] +
+ vX_[5060] * vX_[60]);
+ vX_[5062] = vX_[5053] * vX_[7] + vX_[5054] * vX_[756] + vX_[5061] * vX_[764];
+ vX_[5063] = 0 - vX_[5062];
+ vX_[5064] = vX_[5053] * vX_[51] + vX_[5054] * vX_[7] + vX_[5061] * vX_[54];
+ vX_[5065] = 0 - vX_[5064];
+ vX_[5066] = vX_[5061] - (vX_[5062] * 38.1956380581338 * 0.1104774 + vX_[5064] * 38.1956380581338 * 0.0004405 +
+ vX_[5061] * 38.1956380581338 * 0.026181);
+ vX_[5067] = 0 - vX_[5066];
+ vX_[5068] = vX_[5050] * vX_[7] + vX_[5059] * vX_[52];
+ vX_[5069] = 0 - vX_[5068];
+ vX_[5070] = vX_[5050] * vX_[51] + vX_[5059] * vX_[7];
+ vX_[5071] = 0 - vX_[5070];
+ vX_[5072] = 0 - vX_[5066];
+ vX_[5073] = 0 - vX_[5068];
+ vX_[5074] = 0 - vX_[5070];
+ vX_[5075] = vX_[5072] * vX_[126] + vX_[5073] * vX_[803] + vX_[5074] * vX_[806];
+ vX_[5076] = 0 - vX_[5068];
+ vX_[5077] = 0 - vX_[5070];
+ vX_[5078] = vX_[5076] * vX_[812] + vX_[5077] * vX_[816];
+ vX_[5079] = 0 - vX_[5078];
+ vX_[5080] = vX_[5052] * vX_[1] + vX_[5063] * vX_[771] + vX_[5065] * vX_[776] + vX_[5067] * vX_[780] +
+ vX_[5069] * vX_[789] + vX_[5071] * vX_[797] + vX_[5075] * vX_[810] + vX_[5079] * vX_[824];
+ vX_[5081] = vX_[5080] * vX_[951];
+ vX_[5082] = 0 - vX_[5062];
+ vX_[5083] = 0 - vX_[5064];
+ vX_[5084] = 0 - vX_[5066];
+ vX_[5085] = 0 - vX_[5068];
+ vX_[5086] = 0 - vX_[5070];
+ vX_[5087] = 0 - vX_[5075];
+ vX_[5088] = 0 - vX_[5066];
+ vX_[5089] = 0 - vX_[5068];
+ vX_[5090] = 0 - vX_[5070];
+ vX_[5091] = vX_[5088] * vX_[1] + vX_[5089] * vX_[770] + vX_[5090] * vX_[775];
+ vX_[5092] = vX_[5082] * vX_[812] + vX_[5083] * vX_[815] + vX_[5084] * vX_[957] + vX_[5085] * vX_[963] +
+ vX_[5086] * vX_[968] + vX_[5087] * vX_[975] + vX_[5091] * vX_[824];
+ vX_[5093] = vX_[5092] * vX_[988];
+ vX_[5094] = 0 - vX_[5081] - vX_[5093];
+ vX_[5095] = vX_[5080] * vX_[984];
+ vX_[5096] = 0 - vX_[5051];
+ vX_[5097] = 0 - vX_[5062];
+ vX_[5098] = 0 - vX_[5064];
+ vX_[5099] = 0 - vX_[5066];
+ vX_[5100] = 0 - vX_[5068];
+ vX_[5101] = 0 - vX_[5070];
+ vX_[5102] = 0 - vX_[5091];
+ vX_[5103] = vX_[5096] * vX_[126] + vX_[5097] * vX_[801] + vX_[5098] * vX_[805] + vX_[5099] * vX_[1010] +
+ vX_[5100] * vX_[1018] + vX_[5101] * vX_[1026] + vX_[5102] * vX_[810] + vX_[5078] * vX_[975];
+ vX_[5104] = vX_[5103] * vX_[951];
+ vX_[5105] = vX_[5095] + vX_[5104];
+ vX_[5106] = vX_[5092] * vX_[984];
+ vX_[5107] = vX_[5103] * vX_[988];
+ vX_[5108] = vX_[5106] + vX_[5107];
+ vX_[5109] = vX_[5092] * vX_[951];
+ vX_[5110] = vX_[5080] * vX_[988];
+ vX_[5111] = vX_[5109] - vX_[5110];
+ vX_[5094] = vX_[5094] * vX_[1003] +
+ (vX_[5094] * vX_[1002] + vX_[5105] * vX_[1033] + vX_[5108] * vX_[1037] + vX_[5111] * vX_[1041]) * 2.;
+ vX_[5107] = 0 - vX_[5106] + vX_[5107];
+ vX_[5104] = vX_[5095] - vX_[5104];
+ vX_[5111] = vX_[5111] * vX_[1003] + vX_[5107] * vX_[1034] + vX_[5104] * vX_[892];
+ vX_[5095] = 0 - vX_[5111];
+ vX_[5106] = vX_[5094] * vX_[1001] + vX_[5095] * vX_[997];
+ vX_[5112] = vX_[5103] * vX_[984];
+ vX_[5093] = 0 - vX_[5112] - vX_[5093];
+ vX_[5110] = vX_[5109] + vX_[5110];
+ vX_[5093] = vX_[5105] * vX_[1003] + vX_[5093] * vX_[1034] +
+ (vX_[5093] * vX_[1033] + vX_[5110] * vX_[1037] + vX_[5107] * vX_[1041]) * 2.;
+ vX_[5107] = 0 - vX_[5093];
+ vX_[5112] = 0 - vX_[5112] - vX_[5081];
+ vX_[5112] = vX_[5108] * vX_[1003] + vX_[5110] * vX_[1034] + vX_[5112] * vX_[892] +
+ (vX_[5112] * vX_[1037] + vX_[5104] * vX_[1041]) * 2.;
+ vX_[5110] = vX_[5107] * vX_[997] + vX_[5112] * vX_[1001];
+ vX_[5104] = vX_[5093] * vX_[1001] + vX_[5112] * vX_[997];
+ vX_[5108] = vX_[5094] * vX_[997] + vX_[5111] * vX_[1001];
+ vX_[5081] = vX_[5020] * vX_[235] + vX_[5018] * vX_[1030] + vX_[5010] * vX_[250] + vX_[5005] * vX_[248] +
+ vX_[5036] * vX_[1038];
+ vX_[5105] = vX_[5036] * -1;
+ vX_[5109] = vX_[5008] * -1 + vX_[5010] * 0.207;
+ vX_[5113] = vX_[5109] * 1 / vX_[232];
+ vX_[5114] = vX_[5081] * 1 / vX_[232];
+ vX_[5115] = vX_[5020] * vX_[1050] + vX_[5018] * vX_[1051] + vX_[5010] * vX_[1052] + vX_[5005] * vX_[1053] +
+ vX_[5036] * vX_[164];
+ vX_[5116] = vX_[5115] * 1 / vX_[232];
+ vX_[5117] = vX_[5105] * 1 / vX_[232];
+ vX_[5118] = vX_[5010] * vX_[235] + vX_[5005] * vX_[249];
+ vX_[5119] = vX_[5118] * 1 / vX_[232];
+ vX_[5120] = vX_[5010] * vX_[249] + vX_[5005] * vX_[247];
+ vX_[5121] = vX_[5120] * 1 / vX_[232];
+ vX_[5105] = vX_[5105] - (vX_[5113] * vX_[244] + vX_[5114] * vX_[206] + vX_[5116] * vX_[196] + vX_[5117] * vX_[232] +
+ vX_[5119] * vX_[258] + vX_[5121] * vX_[267]);
+ vX_[5122] = vX_[5081] * -1 + vX_[5105] * -0.08;
+ vX_[5123] = vX_[5105] * vX_[186] + vX_[5120] * vX_[195];
+ vX_[5124] = vX_[5122] + vX_[5123] * -0.35;
+ vX_[5125] = 0 - vX_[5124];
+ vX_[5126] = vX_[5109] * vX_[186] + vX_[5115] * vX_[1065] + vX_[5118] * vX_[1066];
+ vX_[5127] = vX_[5109] * vX_[166] + vX_[5115] * vX_[186] + vX_[5118] * vX_[201];
+ vX_[5128] = vX_[5118] * -1;
+ vX_[5129] = vX_[5126] * 1 / vX_[183];
+ vX_[5130] = vX_[5127] * 1 / vX_[183];
+ vX_[5131] = vX_[5128] * 1 / vX_[183];
+ vX_[5132] = vX_[5123] * 1 / vX_[183];
+ vX_[5133] = vX_[5105] * vX_[166] + vX_[5120] * vX_[186];
+ vX_[5134] = vX_[5133] * 1 / vX_[183];
+ vX_[5128] = vX_[5128] - (vX_[5129] * vX_[190] + vX_[5130] * vX_[181] + vX_[5131] * vX_[183] + vX_[5132] * 2.1e-05 +
+ vX_[5134] * -0.000102);
+ vX_[5135] = vX_[5126] * vX_[169] + vX_[5127] * vX_[1069] + vX_[5128] * vX_[1077];
+ vX_[5136] = 0 - vX_[5135];
+ vX_[5137] = vX_[5126] * vX_[167] + vX_[5127] * vX_[169] + vX_[5128] * vX_[168];
+ vX_[5138] = 0 - vX_[5137];
+ vX_[5139] = vX_[5128] - (vX_[5135] * 38.1956380581338 * 0.110125 + vX_[5137] * 38.1956380581338 * 0.000881 +
+ vX_[5128] * 38.1956380581338 * 0.026181);
+ vX_[5140] = 0 - vX_[5139];
+ vX_[5141] = vX_[5123] * vX_[169] + vX_[5133] * vX_[175];
+ vX_[5142] = 0 - vX_[5141];
+ vX_[5143] = vX_[5123] * vX_[167] + vX_[5133] * vX_[169];
+ vX_[5144] = 0 - vX_[5143];
+ vX_[5145] = 0 - vX_[5139];
+ vX_[5146] = 0 - vX_[5141];
+ vX_[5147] = 0 - vX_[5143];
+ vX_[5148] = vX_[5145] * vX_[1111] + vX_[5146] * vX_[1116] + vX_[5147] * vX_[1120];
+ vX_[5149] = 0 - vX_[5141];
+ vX_[5150] = 0 - vX_[5143];
+ vX_[5151] = vX_[5149] * vX_[1126] + vX_[5150] * vX_[1130];
+ vX_[5152] = 0 - vX_[5151];
+ vX_[5153] = vX_[5125] * vX_[163] + vX_[5136] * vX_[1083] + vX_[5138] * vX_[1088] + vX_[5140] * vX_[1092] +
+ vX_[5142] * vX_[1101] + vX_[5144] * vX_[1109] + vX_[5148] * vX_[1124] + vX_[5152] * vX_[1138];
+ vX_[5154] = vX_[5153] * vX_[1262];
+ vX_[5155] = 0 - vX_[5135];
+ vX_[5156] = 0 - vX_[5137];
+ vX_[5157] = 0 - vX_[5139];
+ vX_[5158] = 0 - vX_[5141];
+ vX_[5159] = 0 - vX_[5143];
+ vX_[5160] = 0 - vX_[5148];
+ vX_[5161] = 0 - vX_[5139];
+ vX_[5162] = 0 - vX_[5141];
+ vX_[5163] = 0 - vX_[5143];
+ vX_[5164] = vX_[5161] * vX_[163] + vX_[5162] * vX_[1082] + vX_[5163] * vX_[1086];
+ vX_[5165] = vX_[5155] * vX_[1126] + vX_[5156] * vX_[1129] + vX_[5157] * vX_[1268] + vX_[5158] * vX_[1274] +
+ vX_[5159] * vX_[1279] + vX_[5160] * vX_[1219] + vX_[5164] * vX_[1138];
+ vX_[5166] = vX_[5165] * vX_[1297];
+ vX_[5167] = 0 - vX_[5154] - vX_[5166];
+ vX_[5168] = vX_[5153] * vX_[1293];
+ vX_[5169] = 0 - vX_[5124];
+ vX_[5170] = 0 - vX_[5135];
+ vX_[5171] = 0 - vX_[5137];
+ vX_[5172] = 0 - vX_[5139];
+ vX_[5173] = 0 - vX_[5141];
+ vX_[5174] = 0 - vX_[5143];
+ vX_[5175] = 0 - vX_[5164];
+ vX_[5176] = vX_[5169] * vX_[1314] + vX_[5170] * vX_[1114] + vX_[5171] * vX_[1119] + vX_[5172] * vX_[1321] +
+ vX_[5173] * vX_[1329] + vX_[5174] * vX_[1337] + vX_[5175] * vX_[1124] + vX_[5151] * vX_[1219];
+ vX_[5177] = vX_[5176] * vX_[1262];
+ vX_[5178] = vX_[5168] + vX_[5177];
+ vX_[5179] = vX_[5165] * vX_[1293];
+ vX_[5180] = vX_[5176] * vX_[1297];
+ vX_[5181] = vX_[5179] + vX_[5180];
+ vX_[5182] = vX_[5165] * vX_[1262];
+ vX_[5183] = vX_[5153] * vX_[1297];
+ vX_[5184] = vX_[5182] - vX_[5183];
+ vX_[5167] = vX_[5167] * vX_[1312] +
+ (vX_[5167] * vX_[1311] + vX_[5178] * vX_[1344] + vX_[5181] * vX_[1348] + vX_[5184] * vX_[1352]) * 2.;
+ vX_[5180] = 0 - vX_[5179] + vX_[5180];
+ vX_[5177] = vX_[5168] - vX_[5177];
+ vX_[5184] = vX_[5184] * vX_[1312] + vX_[5180] * vX_[1345] + vX_[5177] * vX_[1208];
+ vX_[5168] = 0 - vX_[5184];
+ vX_[5179] = vX_[5167] * vX_[1310] + vX_[5168] * vX_[1306];
+ vX_[5185] = vX_[5176] * vX_[1293];
+ vX_[5166] = 0 - vX_[5185] - vX_[5166];
+ vX_[5183] = vX_[5182] + vX_[5183];
+ vX_[5166] = vX_[5178] * vX_[1312] + vX_[5166] * vX_[1345] +
+ (vX_[5166] * vX_[1344] + vX_[5183] * vX_[1348] + vX_[5180] * vX_[1352]) * 2.;
+ vX_[5180] = 0 - vX_[5166];
+ vX_[5185] = 0 - vX_[5185] - vX_[5154];
+ vX_[5185] = vX_[5181] * vX_[1312] + vX_[5183] * vX_[1345] + vX_[5185] * vX_[1208] +
+ (vX_[5185] * vX_[1348] + vX_[5177] * vX_[1352]) * 2.;
+ vX_[5183] = vX_[5180] * vX_[1306] + vX_[5185] * vX_[1310];
+ vX_[5177] = vX_[5166] * vX_[1310] + vX_[5185] * vX_[1306];
+ vX_[5181] = vX_[5167] * vX_[1306] + vX_[5184] * vX_[1310];
+ vX_[5154] = vX_[5020] * vX_[354] + vX_[5018] * vX_[273] + vX_[5010] * vX_[368] + vX_[5005] * vX_[366] +
+ vX_[5036] * vX_[1341];
+ vX_[5178] = vX_[5008] + vX_[5010] * 0.207;
+ vX_[5182] = vX_[5178] * 1 / vX_[351];
+ vX_[5186] = vX_[5154] * 1 / vX_[351];
+ vX_[5187] = vX_[5020] * vX_[1359] + vX_[5018] * vX_[354] + vX_[5010] * vX_[1360] + vX_[5005] * vX_[1361] +
+ vX_[5036] * vX_[274];
+ vX_[5188] = vX_[5187] * 1 / vX_[351];
+ vX_[5189] = vX_[5036] * 1 / vX_[351];
+ vX_[5190] = vX_[5010] * vX_[354] + vX_[5005] * vX_[273];
+ vX_[5191] = vX_[5190] * 1 / vX_[351];
+ vX_[5192] = vX_[5010] * vX_[367] + vX_[5005] * vX_[354];
+ vX_[5193] = vX_[5192] * 1 / vX_[351];
+ vX_[5194] = vX_[5036] - (vX_[5182] * vX_[363] + vX_[5186] * vX_[325] + vX_[5188] * vX_[316] + vX_[5189] * vX_[351] +
+ vX_[5191] * vX_[376] + vX_[5193] * vX_[385]);
+ vX_[5195] = vX_[5154] + vX_[5194] * 0.08;
+ vX_[5196] = vX_[5194] * vX_[304] + vX_[5192] * vX_[276];
+ vX_[5197] = vX_[5195] + vX_[5196] * -0.35;
+ vX_[5198] = 0 - vX_[5197];
+ vX_[5199] = vX_[5178] * vX_[1374] + vX_[5187] * vX_[1375] + vX_[5190] * vX_[1376];
+ vX_[5200] = vX_[5178] * vX_[1378] + vX_[5187] * vX_[303] + vX_[5190] * vX_[321];
+ vX_[5201] = vX_[5199] * 1 / vX_[300];
+ vX_[5202] = vX_[5200] * 1 / vX_[300];
+ vX_[5203] = vX_[5190] * 1 / vX_[300];
+ vX_[5204] = vX_[5196] * 1 / vX_[300];
+ vX_[5205] = vX_[5194] * vX_[276] + vX_[5192] * vX_[303];
+ vX_[5206] = vX_[5205] * 1 / vX_[300];
+ vX_[5207] = vX_[5190] - (vX_[5201] * vX_[311] + vX_[5202] * vX_[298] + vX_[5203] * vX_[300] + vX_[5204] * vX_[307] +
+ vX_[5206] * vX_[288]);
+ vX_[5208] = vX_[5199] * vX_[277] + vX_[5200] * vX_[1380] + vX_[5207] * vX_[1388];
+ vX_[5209] = 0 - vX_[5208];
+ vX_[5210] = vX_[5199] * vX_[279] + vX_[5200] * vX_[277] + vX_[5207] * vX_[282];
+ vX_[5211] = 0 - vX_[5210];
+ vX_[5212] = vX_[5207] - (vX_[5208] * 38.1956380581338 * 0.1104774 + vX_[5210] * 38.1956380581338 * -0.0004405 +
+ vX_[5207] * 38.1956380581338 * 0.026181);
+ vX_[5213] = 0 - vX_[5212];
+ vX_[5214] = vX_[5196] * vX_[277] + vX_[5205] * vX_[280];
+ vX_[5215] = 0 - vX_[5214];
+ vX_[5216] = vX_[5196] * vX_[279] + vX_[5205] * vX_[277];
+ vX_[5217] = 0 - vX_[5216];
+ vX_[5218] = 0 - vX_[5212];
+ vX_[5219] = 0 - vX_[5214];
+ vX_[5220] = 0 - vX_[5216];
+ vX_[5221] = vX_[5218] * vX_[354] + vX_[5219] * vX_[1428] + vX_[5220] * vX_[1431];
+ vX_[5222] = 0 - vX_[5214];
+ vX_[5223] = 0 - vX_[5216];
+ vX_[5224] = vX_[5222] * vX_[1437] + vX_[5223] * vX_[1441];
+ vX_[5225] = 0 - vX_[5224];
+ vX_[5226] = vX_[5198] * vX_[273] + vX_[5209] * vX_[1395] + vX_[5211] * vX_[1400] + vX_[5213] * vX_[1404] +
+ vX_[5215] * vX_[1413] + vX_[5217] * vX_[1422] + vX_[5221] * vX_[1435] + vX_[5225] * vX_[1449];
+ vX_[5227] = vX_[5226] * vX_[1574];
+ vX_[5228] = 0 - vX_[5208];
+ vX_[5229] = 0 - vX_[5210];
+ vX_[5230] = 0 - vX_[5212];
+ vX_[5231] = 0 - vX_[5214];
+ vX_[5232] = 0 - vX_[5216];
+ vX_[5233] = 0 - vX_[5221];
+ vX_[5234] = 0 - vX_[5212];
+ vX_[5235] = 0 - vX_[5214];
+ vX_[5236] = 0 - vX_[5216];
+ vX_[5237] = vX_[5234] * vX_[273] + vX_[5235] * vX_[1394] + vX_[5236] * vX_[1399];
+ vX_[5238] = vX_[5228] * vX_[1437] + vX_[5229] * vX_[1440] + vX_[5230] * vX_[1580] + vX_[5231] * vX_[1586] +
+ vX_[5232] * vX_[1591] + vX_[5233] * vX_[1596] + vX_[5237] * vX_[1449];
+ vX_[5239] = vX_[5238] * vX_[1609];
+ vX_[5240] = 0 - vX_[5227] - vX_[5239];
+ vX_[5241] = vX_[5226] * vX_[1605];
+ vX_[5242] = 0 - vX_[5197];
+ vX_[5243] = 0 - vX_[5208];
+ vX_[5244] = 0 - vX_[5210];
+ vX_[5245] = 0 - vX_[5212];
+ vX_[5246] = 0 - vX_[5214];
+ vX_[5247] = 0 - vX_[5216];
+ vX_[5248] = 0 - vX_[5237];
+ vX_[5249] = vX_[5242] * vX_[354] + vX_[5243] * vX_[1426] + vX_[5244] * vX_[1430] + vX_[5245] * vX_[1631] +
+ vX_[5246] * vX_[1639] + vX_[5247] * vX_[1647] + vX_[5248] * vX_[1435] + vX_[5224] * vX_[1596];
+ vX_[5250] = vX_[5249] * vX_[1574];
+ vX_[5251] = vX_[5241] + vX_[5250];
+ vX_[5252] = vX_[5238] * vX_[1605];
+ vX_[5253] = vX_[5249] * vX_[1609];
+ vX_[5254] = vX_[5252] + vX_[5253];
+ vX_[5255] = vX_[5238] * vX_[1574];
+ vX_[5256] = vX_[5226] * vX_[1609];
+ vX_[5257] = vX_[5255] - vX_[5256];
+ vX_[5240] = vX_[5240] * vX_[1624] +
+ (vX_[5240] * vX_[1623] + vX_[5251] * vX_[1654] + vX_[5254] * vX_[1658] + vX_[5257] * vX_[1662]) * 2.;
+ vX_[5253] = 0 - vX_[5252] + vX_[5253];
+ vX_[5250] = vX_[5241] - vX_[5250];
+ vX_[5257] = vX_[5257] * vX_[1624] + vX_[5253] * vX_[1655] + vX_[5250] * vX_[1519];
+ vX_[5241] = 0 - vX_[5257];
+ vX_[5252] = vX_[5240] * vX_[1622] + vX_[5241] * vX_[1618];
+ vX_[5258] = vX_[5249] * vX_[1605];
+ vX_[5239] = 0 - vX_[5258] - vX_[5239];
+ vX_[5256] = vX_[5255] + vX_[5256];
+ vX_[5239] = vX_[5251] * vX_[1624] + vX_[5239] * vX_[1655] +
+ (vX_[5239] * vX_[1654] + vX_[5256] * vX_[1658] + vX_[5253] * vX_[1662]) * 2.;
+ vX_[5253] = 0 - vX_[5239];
+ vX_[5258] = 0 - vX_[5258] - vX_[5227];
+ vX_[5258] = vX_[5254] * vX_[1624] + vX_[5256] * vX_[1655] + vX_[5258] * vX_[1519] +
+ (vX_[5258] * vX_[1658] + vX_[5250] * vX_[1662]) * 2.;
+ vX_[5256] = vX_[5253] * vX_[1618] + vX_[5258] * vX_[1622];
+ vX_[5250] = vX_[5239] * vX_[1622] + vX_[5258] * vX_[1618];
+ vX_[5254] = vX_[5240] * vX_[1618] + vX_[5257] * vX_[1622];
+ vX_[5227] = vX_[5020] * vX_[473] + vX_[5018] * vX_[1651] + vX_[5010] * vX_[488] + vX_[5005] * vX_[486] +
+ vX_[5036] * vX_[1659];
+ vX_[5251] = vX_[5036] * -1;
+ vX_[5255] = vX_[5008] * -1 + vX_[5010] * 0.207;
+ vX_[5259] = vX_[5255] * 1 / vX_[470];
+ vX_[5260] = vX_[5227] * 1 / vX_[470];
+ vX_[5261] = vX_[5020] * vX_[1671] + vX_[5018] * vX_[1672] + vX_[5010] * vX_[1673] + vX_[5005] * vX_[1674] +
+ vX_[5036] * vX_[392];
+ vX_[5262] = vX_[5261] * 1 / vX_[470];
+ vX_[5263] = vX_[5251] * 1 / vX_[470];
+ vX_[5264] = vX_[5010] * vX_[473] + vX_[5005] * vX_[487];
+ vX_[5265] = vX_[5264] * 1 / vX_[470];
+ vX_[5266] = vX_[5010] * vX_[487] + vX_[5005] * vX_[485];
+ vX_[5267] = vX_[5266] * 1 / vX_[470];
+ vX_[5251] = vX_[5251] - (vX_[4991] + vX_[5259] * vX_[482] + vX_[5260] * vX_[444] + vX_[5262] * vX_[434] +
+ vX_[5263] * vX_[470] + vX_[5265] * vX_[496] + vX_[5267] * vX_[505]);
+ vX_[5268] = vX_[5227] * -1 + vX_[5251] * -0.08;
+ vX_[5269] = vX_[5251] * vX_[421] + vX_[5266] * vX_[433];
+ vX_[5270] = vX_[5268] + vX_[5269] * -0.35;
+ vX_[5271] = 0 - vX_[5270];
+ vX_[5272] = vX_[5255] * vX_[421] + vX_[5261] * vX_[1686] + vX_[5264] * vX_[1687];
+ vX_[5273] = vX_[5255] * vX_[394] + vX_[5261] * vX_[421] + vX_[5264] * vX_[439];
+ vX_[5274] = vX_[5264] * -1;
+ vX_[5275] = vX_[5272] * 1 / vX_[418];
+ vX_[5276] = vX_[5273] * 1 / vX_[418];
+ vX_[5277] = vX_[5274] * 1 / vX_[418];
+ vX_[5278] = vX_[5269] * 1 / vX_[418];
+ vX_[5279] = vX_[5251] * vX_[394] + vX_[5266] * vX_[421];
+ vX_[5280] = vX_[5279] * 1 / vX_[418];
+ vX_[5274] = vX_[5274] - (vX_[4985] + vX_[5275] * vX_[428] + vX_[5276] * vX_[416] + vX_[5277] * vX_[418] +
+ vX_[5278] * vX_[424] + vX_[5280] * vX_[406]);
+ vX_[5281] = vX_[5272] * vX_[395] + vX_[5273] * vX_[1690] + vX_[5274] * vX_[1698];
+ vX_[5282] = 0 - vX_[5281];
+ vX_[5283] = vX_[5272] * vX_[397] + vX_[5273] * vX_[395] + vX_[5274] * vX_[400];
+ vX_[5284] = 0 - vX_[5283];
+ vX_[5285] = vX_[5274] - (38.1956380581338 + vX_[5281] * 38.1956380581338 * 0.1104774 +
+ vX_[5283] * 38.1956380581338 * -0.0004405 + vX_[5274] * 38.1956380581338 * 0.026181);
+ vX_[5286] = 0 - vX_[5285];
+ vX_[5287] = vX_[5269] * vX_[395] + vX_[5279] * vX_[398];
+ vX_[5288] = 0 - vX_[5287];
+ vX_[5289] = vX_[5269] * vX_[397] + vX_[5279] * vX_[395];
+ vX_[5290] = 0 - vX_[5289];
+ vX_[5291] = 0 - vX_[5285];
+ vX_[5292] = 0 - vX_[5287];
+ vX_[5293] = 0 - vX_[5289];
+ vX_[5294] = vX_[5291] * vX_[1734] + vX_[5292] * vX_[1739] + vX_[5293] * vX_[1743];
+ vX_[5295] = 0 - vX_[5287];
+ vX_[5296] = 0 - vX_[5289];
+ vX_[5297] = vX_[5295] * vX_[1749] + vX_[5296] * vX_[1753];
+ vX_[5298] = 0 - vX_[5297];
+ vX_[5299] = vX_[5271] * vX_[391] + vX_[5282] * vX_[1705] + vX_[5284] * vX_[1710] + vX_[5286] * vX_[1714] +
+ vX_[5288] * vX_[1723] + vX_[5290] * vX_[1732] + vX_[5294] * vX_[1747] + vX_[5298] * vX_[1761];
+ vX_[5300] = vX_[5299] * vX_[1887];
+ vX_[5301] = 0 - vX_[5281];
+ vX_[5302] = 0 - vX_[5283];
+ vX_[5303] = 0 - vX_[5285];
+ vX_[5304] = 0 - vX_[5287];
+ vX_[5305] = 0 - vX_[5289];
+ vX_[5306] = 0 - vX_[5294];
+ vX_[5307] = 0 - vX_[5285];
+ vX_[5308] = 0 - vX_[5287];
+ vX_[5309] = 0 - vX_[5289];
+ vX_[5310] = vX_[5307] * vX_[391] + vX_[5308] * vX_[1704] + vX_[5309] * vX_[1708];
+ vX_[5311] = vX_[5301] * vX_[1749] + vX_[5302] * vX_[1752] + vX_[5303] * vX_[1893] + vX_[5304] * vX_[1899] +
+ vX_[5305] * vX_[1904] + vX_[5306] * vX_[1911] + vX_[5310] * vX_[1761];
+ vX_[5312] = vX_[5311] * vX_[1923];
+ vX_[5313] = 0 - vX_[5300] - vX_[5312];
+ vX_[5314] = vX_[5299] * vX_[1919];
+ vX_[5315] = 0 - vX_[5270];
+ vX_[5316] = 0 - vX_[5281];
+ vX_[5317] = 0 - vX_[5283];
+ vX_[5318] = 0 - vX_[5285];
+ vX_[5319] = 0 - vX_[5287];
+ vX_[5320] = 0 - vX_[5289];
+ vX_[5321] = 0 - vX_[5310];
+ vX_[5322] = vX_[5315] * vX_[1940] + vX_[5316] * vX_[1737] + vX_[5317] * vX_[1742] + vX_[5318] * vX_[1947] +
+ vX_[5319] * vX_[1955] + vX_[5320] * vX_[1963] + vX_[5321] * vX_[1747] + vX_[5297] * vX_[1911];
+ vX_[5323] = vX_[5322] * vX_[1887];
+ vX_[5324] = vX_[5314] + vX_[5323];
+ vX_[5325] = vX_[5311] * vX_[1919];
+ vX_[5326] = vX_[5322] * vX_[1923];
+ vX_[5327] = vX_[5325] + vX_[5326];
+ vX_[5328] = vX_[5311] * vX_[1887];
+ vX_[5329] = vX_[5299] * vX_[1923];
+ vX_[5330] = vX_[5328] - vX_[5329];
+ vX_[5313] = vX_[5313] * vX_[1938] +
+ (vX_[5313] * vX_[1937] + vX_[5324] * vX_[1970] + vX_[5327] * vX_[1974] + vX_[5330] * vX_[1978]) * 2.;
+ vX_[5326] = 0 - vX_[5325] + vX_[5326];
+ vX_[5323] = vX_[5314] - vX_[5323];
+ vX_[5330] = vX_[5330] * vX_[1938] + vX_[5326] * vX_[1971] + vX_[5323] * vX_[1829];
+ vX_[5314] = 0 - vX_[5330];
+ vX_[5325] = vX_[5313] * vX_[1936] + vX_[5314] * vX_[1932];
+ vX_[5331] = vX_[5322] * vX_[1919];
+ vX_[5312] = 0 - vX_[5331] - vX_[5312];
+ vX_[5329] = vX_[5328] + vX_[5329];
+ vX_[5312] = vX_[5324] * vX_[1938] + vX_[5312] * vX_[1971] +
+ (vX_[5312] * vX_[1970] + vX_[5329] * vX_[1974] + vX_[5326] * vX_[1978]) * 2.;
+ vX_[5326] = 0 - vX_[5312];
+ vX_[5331] = 0 - vX_[5331] - vX_[5300];
+ vX_[5331] = vX_[5327] * vX_[1938] + vX_[5329] * vX_[1971] + vX_[5331] * vX_[1829] +
+ (vX_[5331] * vX_[1974] + vX_[5323] * vX_[1978]) * 2.;
+ vX_[5329] = vX_[5326] * vX_[1932] + vX_[5331] * vX_[1936];
+ vX_[5323] = vX_[5312] * vX_[1936] + vX_[5331] * vX_[1932];
+ vX_[5327] = vX_[5313] * vX_[1932] + vX_[5330] * vX_[1936];
+ vX_[5300] = vX_[5103] * vX_[1982] + vX_[5080] * vX_[1985] + vX_[5092] * vX_[1988];
+ vX_[5324] = vX_[5300] * vX_[950] * -1000.;
+ vX_[5328] = vX_[5324] * vX_[872];
+ vX_[5332] = vX_[5103] * vX_[1994] + vX_[5080] * vX_[1987] + vX_[5092] * vX_[1983];
+ vX_[5333] = vX_[5332] * vX_[950] * -1000.;
+ vX_[5334] = vX_[5333] * vX_[891];
+ vX_[5335] = 0 - vX_[5328] - vX_[5334];
+ vX_[5103] = vX_[5103] * vX_[1986] + vX_[5080] * vX_[1975] + vX_[5092] * vX_[1993];
+ vX_[5092] = vX_[5103] * vX_[950] * -1000.;
+ vX_[5080] = vX_[5092] * vX_[872];
+ vX_[5336] = vX_[5324] * vX_[909];
+ vX_[5337] = vX_[5080] + vX_[5336];
+ vX_[5338] = vX_[5092] * vX_[891];
+ vX_[5339] = vX_[5333] * vX_[909];
+ vX_[5340] = vX_[5338] + vX_[5339];
+ vX_[5341] = vX_[5324] * vX_[891];
+ vX_[5342] = vX_[5333] * vX_[872];
+ vX_[5343] = vX_[5341] - vX_[5342];
+ vX_[5335] = vX_[5335] * vX_[838] +
+ (vX_[5335] * vX_[837] + vX_[5337] * vX_[873] + vX_[5340] * vX_[842] + vX_[5343] * vX_[876]) * 2.;
+ vX_[5339] = 0 - vX_[5338] + vX_[5339];
+ vX_[5336] = vX_[5080] - vX_[5336];
+ vX_[5343] = vX_[5343] * vX_[838] + vX_[5339] * vX_[874] + vX_[5336] * vX_[843];
+ vX_[5080] = 0 - vX_[5343];
+ vX_[5338] = vX_[5335] * vX_[836] + vX_[5080] * vX_[832];
+ vX_[5344] = vX_[5092] * vX_[909];
+ vX_[5334] = 0 - vX_[5344] - vX_[5334];
+ vX_[5342] = vX_[5341] + vX_[5342];
+ vX_[5334] = vX_[5337] * vX_[838] + vX_[5334] * vX_[874] +
+ (vX_[5334] * vX_[873] + vX_[5342] * vX_[842] + vX_[5339] * vX_[876]) * 2.;
+ vX_[5339] = 0 - vX_[5334];
+ vX_[5344] = 0 - vX_[5344] - vX_[5328];
+ vX_[5344] = vX_[5340] * vX_[838] + vX_[5342] * vX_[874] + vX_[5344] * vX_[843] +
+ (vX_[5344] * vX_[842] + vX_[5336] * vX_[876]) * 2.;
+ vX_[5342] = vX_[5339] * vX_[832] + vX_[5344] * vX_[836];
+ vX_[5336] = vX_[5334] * vX_[836] + vX_[5344] * vX_[832];
+ vX_[5340] = vX_[5335] * vX_[832] + vX_[5343] * vX_[836];
+ vX_[5103] = vX_[5103] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[5103] * vX_[844] + vX_[5300] * vX_[910] + vX_[5332] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[5332] = vX_[5103] * vX_[935];
+ vX_[5300] = vX_[5103] * vX_[939];
+ vX_[5328] = (vX_[5332] * vX_[925] + vX_[5300] * vX_[926]) * 2.;
+ vX_[5337] = 0 - vX_[5300];
+ vX_[5341] = vX_[5337] * vX_[936] + vX_[5332] * vX_[927];
+ vX_[5345] = 0 - vX_[5341];
+ vX_[5346] = vX_[5328] * vX_[921] + vX_[5345] * vX_[917];
+ vX_[5347] = vX_[5103] * vX_[946];
+ vX_[5348] = 0 - vX_[5347];
+ vX_[5348] = vX_[5332] * vX_[922] + vX_[5348] * vX_[936] + (vX_[5348] * vX_[925] + vX_[5337] * vX_[928]) * 2.;
+ vX_[5337] = 0 - vX_[5348];
+ vX_[5347] = 0 - vX_[5347];
+ vX_[5347] = vX_[5300] * vX_[922] + vX_[5347] * vX_[927] + (vX_[5347] * vX_[926] + vX_[5332] * vX_[928]) * 2.;
+ vX_[5300] = vX_[5337] * vX_[917] + vX_[5347] * vX_[921];
+ vX_[5332] = vX_[5348] * vX_[921] + vX_[5347] * vX_[917];
+ vX_[5349] = vX_[5328] * vX_[917] + vX_[5341] * vX_[921];
+ vX_[5350] = vX_[5176] * vX_[2014] + vX_[5153] * vX_[2017] + vX_[5165] * vX_[2020];
+ vX_[5351] = vX_[5350] * vX_[1261] * -1000.;
+ vX_[5352] = vX_[5351] * vX_[1189];
+ vX_[5353] = vX_[5176] * vX_[2026] + vX_[5153] * vX_[2019] + vX_[5165] * vX_[2015];
+ vX_[5354] = vX_[5353] * vX_[1261] * -1000.;
+ vX_[5355] = vX_[5354] * vX_[1207];
+ vX_[5356] = 0 - vX_[5352] - vX_[5355];
+ vX_[5176] = vX_[5176] * vX_[2018] + vX_[5153] * vX_[2013] + vX_[5165] * vX_[2025];
+ vX_[5165] = vX_[5176] * vX_[1261] * -1000.;
+ vX_[5153] = vX_[5165] * vX_[1189];
+ vX_[5357] = vX_[5351] * vX_[1226];
+ vX_[5358] = vX_[5153] + vX_[5357];
+ vX_[5359] = vX_[5165] * vX_[1207];
+ vX_[5360] = vX_[5354] * vX_[1226];
+ vX_[5361] = vX_[5359] + vX_[5360];
+ vX_[5362] = vX_[5351] * vX_[1207];
+ vX_[5363] = vX_[5354] * vX_[1189];
+ vX_[5364] = vX_[5362] - vX_[5363];
+ vX_[5356] = vX_[5356] * vX_[1152] +
+ (vX_[5356] * vX_[1151] + vX_[5358] * vX_[1190] + vX_[5361] * vX_[1156] + vX_[5364] * vX_[1193]) * 2.;
+ vX_[5360] = 0 - vX_[5359] + vX_[5360];
+ vX_[5357] = vX_[5153] - vX_[5357];
+ vX_[5364] = vX_[5364] * vX_[1152] + vX_[5360] * vX_[1191] + vX_[5357] * vX_[1157];
+ vX_[5153] = 0 - vX_[5364];
+ vX_[5359] = vX_[5356] * vX_[1150] + vX_[5153] * vX_[1146];
+ vX_[5365] = vX_[5165] * vX_[1226];
+ vX_[5355] = 0 - vX_[5365] - vX_[5355];
+ vX_[5363] = vX_[5362] + vX_[5363];
+ vX_[5355] = vX_[5358] * vX_[1152] + vX_[5355] * vX_[1191] +
+ (vX_[5355] * vX_[1190] + vX_[5363] * vX_[1156] + vX_[5360] * vX_[1193]) * 2.;
+ vX_[5360] = 0 - vX_[5355];
+ vX_[5365] = 0 - vX_[5365] - vX_[5352];
+ vX_[5365] = vX_[5361] * vX_[1152] + vX_[5363] * vX_[1191] + vX_[5365] * vX_[1157] +
+ (vX_[5365] * vX_[1156] + vX_[5357] * vX_[1193]) * 2.;
+ vX_[5363] = vX_[5360] * vX_[1146] + vX_[5365] * vX_[1150];
+ vX_[5357] = vX_[5355] * vX_[1150] + vX_[5365] * vX_[1146];
+ vX_[5361] = vX_[5356] * vX_[1146] + vX_[5364] * vX_[1150];
+ vX_[5176] =
+ vX_[5176] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[5176] * vX_[1158] + vX_[5350] * vX_[1227] + vX_[5353] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[5353] = vX_[5176] * vX_[1250];
+ vX_[5350] = vX_[5176] * vX_[1181];
+ vX_[5352] = (vX_[5353] * vX_[1242] + vX_[5350] * vX_[1243]) * 2.;
+ vX_[5358] = 0 - vX_[5350];
+ vX_[5362] = vX_[5358] * vX_[1251] + vX_[5353] * vX_[1244];
+ vX_[5366] = 0 - vX_[5362];
+ vX_[5367] = vX_[5352] * vX_[1238] + vX_[5366] * vX_[1234];
+ vX_[5368] = vX_[5176] * vX_[1257];
+ vX_[5369] = 0 - vX_[5368];
+ vX_[5369] = vX_[5353] * vX_[1239] + vX_[5369] * vX_[1251] + (vX_[5369] * vX_[1242] + vX_[5358] * vX_[1245]) * 2.;
+ vX_[5358] = 0 - vX_[5369];
+ vX_[5368] = 0 - vX_[5368];
+ vX_[5368] = vX_[5350] * vX_[1239] + vX_[5368] * vX_[1244] + (vX_[5368] * vX_[1243] + vX_[5353] * vX_[1245]) * 2.;
+ vX_[5350] = vX_[5358] * vX_[1234] + vX_[5368] * vX_[1238];
+ vX_[5353] = vX_[5369] * vX_[1238] + vX_[5368] * vX_[1234];
+ vX_[5370] = vX_[5352] * vX_[1234] + vX_[5362] * vX_[1238];
+ vX_[5371] = vX_[5249] * vX_[2046] + vX_[5226] * vX_[2049] + vX_[5238] * vX_[2052];
+ vX_[5372] = vX_[5371] * vX_[1573] * -1000.;
+ vX_[5373] = vX_[5372] * vX_[1499];
+ vX_[5374] = vX_[5249] * vX_[2058] + vX_[5226] * vX_[2051] + vX_[5238] * vX_[2047];
+ vX_[5375] = vX_[5374] * vX_[1573] * -1000.;
+ vX_[5376] = vX_[5375] * vX_[1518];
+ vX_[5377] = 0 - vX_[5373] - vX_[5376];
+ vX_[5249] = vX_[5249] * vX_[2050] + vX_[5226] * vX_[2045] + vX_[5238] * vX_[2057];
+ vX_[5238] = vX_[5249] * vX_[1573] * -1000.;
+ vX_[5226] = vX_[5238] * vX_[1499];
+ vX_[5378] = vX_[5372] * vX_[1536];
+ vX_[5379] = vX_[5226] + vX_[5378];
+ vX_[5380] = vX_[5238] * vX_[1518];
+ vX_[5381] = vX_[5375] * vX_[1536];
+ vX_[5382] = vX_[5380] + vX_[5381];
+ vX_[5383] = vX_[5372] * vX_[1518];
+ vX_[5384] = vX_[5375] * vX_[1499];
+ vX_[5385] = vX_[5383] - vX_[5384];
+ vX_[5377] = vX_[5377] * vX_[1463] +
+ (vX_[5377] * vX_[1462] + vX_[5379] * vX_[1500] + vX_[5382] * vX_[1467] + vX_[5385] * vX_[1503]) * 2.;
+ vX_[5381] = 0 - vX_[5380] + vX_[5381];
+ vX_[5378] = vX_[5226] - vX_[5378];
+ vX_[5385] = vX_[5385] * vX_[1463] + vX_[5381] * vX_[1501] + vX_[5378] * vX_[1468];
+ vX_[5226] = 0 - vX_[5385];
+ vX_[5380] = vX_[5377] * vX_[1461] + vX_[5226] * vX_[1457];
+ vX_[5386] = vX_[5238] * vX_[1536];
+ vX_[5376] = 0 - vX_[5386] - vX_[5376];
+ vX_[5384] = vX_[5383] + vX_[5384];
+ vX_[5376] = vX_[5379] * vX_[1463] + vX_[5376] * vX_[1501] +
+ (vX_[5376] * vX_[1500] + vX_[5384] * vX_[1467] + vX_[5381] * vX_[1503]) * 2.;
+ vX_[5381] = 0 - vX_[5376];
+ vX_[5386] = 0 - vX_[5386] - vX_[5373];
+ vX_[5386] = vX_[5382] * vX_[1463] + vX_[5384] * vX_[1501] + vX_[5386] * vX_[1468] +
+ (vX_[5386] * vX_[1467] + vX_[5378] * vX_[1503]) * 2.;
+ vX_[5384] = vX_[5381] * vX_[1457] + vX_[5386] * vX_[1461];
+ vX_[5378] = vX_[5376] * vX_[1461] + vX_[5386] * vX_[1457];
+ vX_[5382] = vX_[5377] * vX_[1457] + vX_[5385] * vX_[1461];
+ vX_[5249] =
+ vX_[5249] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[5249] * vX_[1469] + vX_[5371] * vX_[1537] + vX_[5374] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[5374] = vX_[5249] * vX_[1560];
+ vX_[5371] = vX_[5249] * vX_[1491];
+ vX_[5373] = (vX_[5374] * vX_[1552] + vX_[5371] * vX_[1553]) * 2.;
+ vX_[5379] = 0 - vX_[5371];
+ vX_[5383] = vX_[5379] * vX_[1561] + vX_[5374] * vX_[1554];
+ vX_[5387] = 0 - vX_[5383];
+ vX_[5388] = vX_[5373] * vX_[1548] + vX_[5387] * vX_[1544];
+ vX_[5389] = vX_[5249] * vX_[1569];
+ vX_[5390] = 0 - vX_[5389];
+ vX_[5390] = vX_[5374] * vX_[1549] + vX_[5390] * vX_[1561] + (vX_[5390] * vX_[1552] + vX_[5379] * vX_[1555]) * 2.;
+ vX_[5379] = 0 - vX_[5390];
+ vX_[5389] = 0 - vX_[5389];
+ vX_[5389] = vX_[5371] * vX_[1549] + vX_[5389] * vX_[1554] + (vX_[5389] * vX_[1553] + vX_[5374] * vX_[1555]) * 2.;
+ vX_[5371] = vX_[5379] * vX_[1544] + vX_[5389] * vX_[1548];
+ vX_[5374] = vX_[5390] * vX_[1548] + vX_[5389] * vX_[1544];
+ vX_[5391] = vX_[5373] * vX_[1544] + vX_[5383] * vX_[1548];
+ vX_[5392] = vX_[5322] * vX_[2078] + vX_[5299] * vX_[2081] + vX_[5311] * vX_[2084];
+ vX_[5393] = vX_[5392] * vX_[1886] * -1000.;
+ vX_[5394] = vX_[5393] * vX_[1809];
+ vX_[5395] = vX_[5322] * vX_[2090] + vX_[5299] * vX_[2083] + vX_[5311] * vX_[2079];
+ vX_[5396] = vX_[5395] * vX_[1886] * -1000.;
+ vX_[5397] = vX_[5396] * vX_[1828];
+ vX_[5398] = 0 - vX_[5394] - vX_[5397];
+ vX_[5322] = vX_[5322] * vX_[2082] + vX_[5299] * vX_[2077] + vX_[5311] * vX_[2089];
+ vX_[5311] = vX_[5322] * vX_[1886] * -1000.;
+ vX_[5299] = vX_[5311] * vX_[1809];
+ vX_[5399] = vX_[5393] * vX_[1846];
+ vX_[5400] = vX_[5299] + vX_[5399];
+ vX_[5401] = vX_[5311] * vX_[1828];
+ vX_[5402] = vX_[5396] * vX_[1846];
+ vX_[5403] = vX_[5401] + vX_[5402];
+ vX_[5404] = vX_[5393] * vX_[1828];
+ vX_[5405] = vX_[5396] * vX_[1809];
+ vX_[5406] = vX_[5404] - vX_[5405];
+ vX_[5398] = vX_[5398] * vX_[1775] +
+ (vX_[5398] * vX_[1774] + vX_[5400] * vX_[1810] + vX_[5403] * vX_[1779] + vX_[5406] * vX_[1813]) * 2.;
+ vX_[5402] = 0 - vX_[5401] + vX_[5402];
+ vX_[5399] = vX_[5299] - vX_[5399];
+ vX_[5406] = vX_[5406] * vX_[1775] + vX_[5402] * vX_[1811] + vX_[5399] * vX_[1780];
+ vX_[5299] = 0 - vX_[5406];
+ vX_[5401] = vX_[5398] * vX_[1773] + vX_[5299] * vX_[1769];
+ vX_[5407] = vX_[5311] * vX_[1846];
+ vX_[5397] = 0 - vX_[5407] - vX_[5397];
+ vX_[5405] = vX_[5404] + vX_[5405];
+ vX_[5397] = vX_[5400] * vX_[1775] + vX_[5397] * vX_[1811] +
+ (vX_[5397] * vX_[1810] + vX_[5405] * vX_[1779] + vX_[5402] * vX_[1813]) * 2.;
+ vX_[5402] = 0 - vX_[5397];
+ vX_[5407] = 0 - vX_[5407] - vX_[5394];
+ vX_[5407] = vX_[5403] * vX_[1775] + vX_[5405] * vX_[1811] + vX_[5407] * vX_[1780] +
+ (vX_[5407] * vX_[1779] + vX_[5399] * vX_[1813]) * 2.;
+ vX_[5405] = vX_[5402] * vX_[1769] + vX_[5407] * vX_[1773];
+ vX_[5399] = vX_[5397] * vX_[1773] + vX_[5407] * vX_[1769];
+ vX_[5403] = vX_[5398] * vX_[1769] + vX_[5406] * vX_[1773];
+ vX_[5322] =
+ vX_[5322] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[5322] * vX_[1781] + vX_[5392] * vX_[1847] + vX_[5395] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[206] = vX_[5103] + vX_[5176] + vX_[5249] + vX_[5322];
+ vX_[5395] = vX_[5322] * vX_[1870];
+ vX_[5392] = vX_[5322] * vX_[1875];
+ vX_[5394] = (vX_[5395] * vX_[1862] + vX_[5392] * vX_[1863]) * 2.;
+ vX_[5400] = 0 - vX_[5392];
+ vX_[5404] = vX_[5400] * vX_[1871] + vX_[5395] * vX_[1864];
+ vX_[5408] = 0 - vX_[5404];
+ vX_[5409] = vX_[5394] * vX_[1858] + vX_[5408] * vX_[1854];
+ vX_[5410] = vX_[5322] * vX_[1882];
+ vX_[5411] = 0 - vX_[5410];
+ vX_[5411] = vX_[5395] * vX_[1859] + vX_[5411] * vX_[1871] + (vX_[5411] * vX_[1862] + vX_[5400] * vX_[1865]) * 2.;
+ vX_[5400] = 0 - vX_[5411];
+ vX_[5410] = 0 - vX_[5410];
+ vX_[5410] = vX_[5392] * vX_[1859] + vX_[5410] * vX_[1864] + (vX_[5410] * vX_[1863] + vX_[5395] * vX_[1865]) * 2.;
+ vX_[5392] = vX_[5400] * vX_[1854] + vX_[5410] * vX_[1858];
+ vX_[5395] = vX_[5411] * vX_[1858] + vX_[5410] * vX_[1854];
+ vX_[5412] = vX_[5394] * vX_[1854] + vX_[5404] * vX_[1858];
+ jac[26] = ((vX_[5106] * vX_[999] + vX_[5110] * vX_[994]) * vX_[1029] -
+ (vX_[5104] * vX_[999] + vX_[5108] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[5179] * vX_[1308] + vX_[5183] * vX_[1303]) * vX_[1340] -
+ (vX_[5177] * vX_[1308] + vX_[5181] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[5252] * vX_[1620] + vX_[5256] * vX_[1615]) * vX_[1650] -
+ (vX_[5250] * vX_[1620] + vX_[5254] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[5325] * vX_[1934] + vX_[5329] * vX_[1929]) * vX_[1966] -
+ (vX_[5323] * vX_[1934] + vX_[5327] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[5338] * vX_[834] + vX_[5342] * vX_[829]) * vX_[1992] -
+ (vX_[5336] * vX_[834] + vX_[5340] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[5346] * vX_[919] + vX_[5300] * vX_[914]) * vX_[1995] -
+ (vX_[5332] * vX_[919] + vX_[5349] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[5359] * vX_[1148] + vX_[5363] * vX_[1143]) * vX_[2024] -
+ (vX_[5357] * vX_[1148] + vX_[5361] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[5367] * vX_[1236] + vX_[5350] * vX_[1231]) * vX_[2027] -
+ (vX_[5353] * vX_[1236] + vX_[5370] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[5380] * vX_[1459] + vX_[5384] * vX_[1454]) * vX_[2056] -
+ (vX_[5378] * vX_[1459] + vX_[5382] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[5388] * vX_[1546] + vX_[5371] * vX_[1541]) * vX_[2059] -
+ (vX_[5374] * vX_[1546] + vX_[5391] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[5401] * vX_[1771] + vX_[5405] * vX_[1766]) * vX_[2088] -
+ (vX_[5399] * vX_[1771] + vX_[5403] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[5409] * vX_[1856] + vX_[5392] * vX_[1851]) * vX_[2091] -
+ (vX_[5395] * vX_[1856] + vX_[5412] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[5413] = 1 / vX_[351];
+ vX_[5414] = 0 - vX_[5413];
+ vX_[5415] = vX_[5414] * vX_[325];
+ vX_[5416] = 0 - vX_[5413];
+ vX_[5417] = vX_[5416] * vX_[316];
+ vX_[5418] = 0 - vX_[5413];
+ vX_[5419] = vX_[5418] * vX_[351] + vX_[5415] * vX_[1341] + vX_[5417] * vX_[274];
+ vX_[5420] = 0 - vX_[5413];
+ vX_[5421] = vX_[5420] * vX_[376];
+ vX_[5422] = 0 - vX_[5413];
+ vX_[5423] = vX_[5422] * vX_[385];
+ vX_[5424] = 0 - (vX_[5415] * vX_[366] + vX_[5417] * vX_[1361] + vX_[5421] * vX_[273] + vX_[5423] * vX_[354]) +
+ vX_[5419] * vX_[637];
+ vX_[5425] = 0 - vX_[5424];
+ vX_[5426] = 0 - vX_[5413];
+ vX_[5427] = vX_[5426] * vX_[363];
+ vX_[5428] = 0 - vX_[5424];
+ vX_[5429] = 0 - (vX_[5427] * 0.207 + vX_[5415] * vX_[368] + vX_[5417] * vX_[1360] + vX_[5421] * vX_[354] +
+ vX_[5423] * vX_[367]) +
+ vX_[5419] * vX_[624] + vX_[5428] * vX_[668];
+ vX_[5430] = 0 - vX_[5429];
+ vX_[5431] = 0 - vX_[5424];
+ vX_[5432] = 0 - vX_[5429];
+ vX_[5427] = 0 - vX_[5427] + vX_[5419] * vX_[590] + vX_[5431] * vX_[666] + vX_[5432] * vX_[664];
+ vX_[5433] = 0 - vX_[5427];
+ vX_[5434] = 0 - vX_[5424];
+ vX_[5435] = 0 - vX_[5429];
+ vX_[5436] = 0 - vX_[5427];
+ vX_[5437] = 0 - (vX_[5415] * vX_[273] + vX_[5417] * vX_[354]) + vX_[5419] * vX_[723] + vX_[5434] * vX_[725] +
+ vX_[5435] * vX_[731] + vX_[5436] * vX_[737];
+ vX_[5438] = 0 - vX_[5437];
+ vX_[5439] = (0 - (vX_[5415] * vX_[354] + vX_[5417] * vX_[1359]) + vX_[5419] * vX_[620] + vX_[5425] * vX_[602] +
+ vX_[5430] * vX_[604] + vX_[5433] * vX_[722] + vX_[5438] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[5440] = 0 - vX_[5439];
+ vX_[5437] = (vX_[5437] + vX_[5440] * vX_[743]) * 1 / vX_[718];
+ vX_[5441] = 0 - vX_[5439];
+ vX_[5442] = 0 - vX_[5437];
+ vX_[5443] = 0 - vX_[5439];
+ vX_[5444] = 0 - vX_[5437];
+ vX_[5427] = (vX_[5427] + vX_[5443] * vX_[689] + vX_[5444] * vX_[736]) * 1 / vX_[721];
+ vX_[5445] = 0 - vX_[5427];
+ vX_[5429] = (vX_[5429] + vX_[5441] * vX_[682] + vX_[5442] * vX_[730] + vX_[5445] * vX_[509]) * 1 / vX_[618];
+ vX_[5446] = 0 - vX_[5439];
+ vX_[5447] = 0 - vX_[5437];
+ vX_[5448] = 0 - vX_[5427];
+ vX_[5449] = 0 - vX_[5429];
+ vX_[5424] =
+ (vX_[5424] + vX_[5446] * vX_[662] + vX_[5447] * vX_[633] + vX_[5448] * vX_[691] + vX_[5449] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[5450] = 0 - vX_[5439];
+ vX_[5451] = 0 - vX_[5437];
+ vX_[5452] = 0 - vX_[5427];
+ vX_[5453] = 0 - vX_[5429];
+ vX_[5454] = 0 - vX_[5424];
+ vX_[5455] = (0 - vX_[5419] + vX_[5450] * vX_[510] + vX_[5451] * vX_[518] + vX_[5452] * vX_[690] +
+ vX_[5453] * vX_[628] + vX_[5454] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5456] =
+ vX_[5439] * vX_[126] + vX_[5437] * vX_[1] + vX_[5429] * vX_[140] + vX_[5424] * vX_[138] + vX_[5455] * vX_[706];
+ vX_[5457] = vX_[5427] + vX_[5429] * 0.207;
+ vX_[5458] = vX_[5457] * 1 / vX_[123];
+ vX_[5459] = vX_[5456] * 1 / vX_[123];
+ vX_[5460] =
+ vX_[5439] * vX_[729] + vX_[5437] * vX_[126] + vX_[5429] * vX_[728] + vX_[5424] * vX_[727] + vX_[5455] * vX_[27];
+ vX_[5461] = vX_[5460] * 1 / vX_[123];
+ vX_[5462] = vX_[5455] * 1 / vX_[123];
+ vX_[5463] = vX_[5429] * vX_[126] + vX_[5424] * vX_[1];
+ vX_[5464] = vX_[5463] * 1 / vX_[123];
+ vX_[5465] = vX_[5429] * vX_[139] + vX_[5424] * vX_[126];
+ vX_[5466] = vX_[5465] * 1 / vX_[123];
+ vX_[5467] = vX_[5455] - (vX_[5458] * vX_[135] + vX_[5459] * vX_[97] + vX_[5461] * vX_[88] + vX_[5462] * vX_[123] +
+ vX_[5464] * vX_[148] + vX_[5466] * vX_[157]);
+ vX_[5468] = vX_[5456] + vX_[5467] * 0.08;
+ vX_[5469] = vX_[5467] * vX_[76] + vX_[5465] * vX_[4];
+ vX_[5470] = vX_[5468] + vX_[5469] * -0.35;
+ vX_[5471] = 0 - vX_[5470];
+ vX_[5472] = vX_[5457] * vX_[750] + vX_[5460] * vX_[751] + vX_[5463] * vX_[752];
+ vX_[5473] = vX_[5457] * vX_[754] + vX_[5460] * vX_[75] + vX_[5463] * vX_[93];
+ vX_[5474] = vX_[5472] * 1 / vX_[72];
+ vX_[5475] = vX_[5473] * 1 / vX_[72];
+ vX_[5476] = vX_[5463] * 1 / vX_[72];
+ vX_[5477] = vX_[5469] * 1 / vX_[72];
+ vX_[5478] = vX_[5467] * vX_[4] + vX_[5465] * vX_[75];
+ vX_[5479] = vX_[5478] * 1 / vX_[72];
+ vX_[5480] = vX_[5463] - (vX_[5474] * vX_[83] + vX_[5475] * vX_[70] + vX_[5476] * vX_[72] + vX_[5477] * vX_[79] +
+ vX_[5479] * vX_[60]);
+ vX_[5481] = vX_[5472] * vX_[7] + vX_[5473] * vX_[756] + vX_[5480] * vX_[764];
+ vX_[5482] = 0 - vX_[5481];
+ vX_[5483] = vX_[5472] * vX_[51] + vX_[5473] * vX_[7] + vX_[5480] * vX_[54];
+ vX_[5484] = 0 - vX_[5483];
+ vX_[5485] = vX_[5480] - (vX_[5481] * 38.1956380581338 * 0.1104774 + vX_[5483] * 38.1956380581338 * 0.0004405 +
+ vX_[5480] * 38.1956380581338 * 0.026181);
+ vX_[5486] = 0 - vX_[5485];
+ vX_[5487] = vX_[5469] * vX_[7] + vX_[5478] * vX_[52];
+ vX_[5488] = 0 - vX_[5487];
+ vX_[5489] = vX_[5469] * vX_[51] + vX_[5478] * vX_[7];
+ vX_[5490] = 0 - vX_[5489];
+ vX_[5491] = 0 - vX_[5485];
+ vX_[5492] = 0 - vX_[5487];
+ vX_[5493] = 0 - vX_[5489];
+ vX_[5494] = vX_[5491] * vX_[126] + vX_[5492] * vX_[803] + vX_[5493] * vX_[806];
+ vX_[5495] = 0 - vX_[5487];
+ vX_[5496] = 0 - vX_[5489];
+ vX_[5497] = vX_[5495] * vX_[812] + vX_[5496] * vX_[816];
+ vX_[5498] = 0 - vX_[5497];
+ vX_[5499] = vX_[5471] * vX_[1] + vX_[5482] * vX_[771] + vX_[5484] * vX_[776] + vX_[5486] * vX_[780] +
+ vX_[5488] * vX_[789] + vX_[5490] * vX_[797] + vX_[5494] * vX_[810] + vX_[5498] * vX_[824];
+ vX_[5500] = vX_[5499] * vX_[951];
+ vX_[5501] = 0 - vX_[5481];
+ vX_[5502] = 0 - vX_[5483];
+ vX_[5503] = 0 - vX_[5485];
+ vX_[5504] = 0 - vX_[5487];
+ vX_[5505] = 0 - vX_[5489];
+ vX_[5506] = 0 - vX_[5494];
+ vX_[5507] = 0 - vX_[5485];
+ vX_[5508] = 0 - vX_[5487];
+ vX_[5509] = 0 - vX_[5489];
+ vX_[5510] = vX_[5507] * vX_[1] + vX_[5508] * vX_[770] + vX_[5509] * vX_[775];
+ vX_[5511] = vX_[5501] * vX_[812] + vX_[5502] * vX_[815] + vX_[5503] * vX_[957] + vX_[5504] * vX_[963] +
+ vX_[5505] * vX_[968] + vX_[5506] * vX_[975] + vX_[5510] * vX_[824];
+ vX_[5512] = vX_[5511] * vX_[988];
+ vX_[5513] = 0 - vX_[5500] - vX_[5512];
+ vX_[5514] = vX_[5499] * vX_[984];
+ vX_[5515] = 0 - vX_[5470];
+ vX_[5516] = 0 - vX_[5481];
+ vX_[5517] = 0 - vX_[5483];
+ vX_[5518] = 0 - vX_[5485];
+ vX_[5519] = 0 - vX_[5487];
+ vX_[5520] = 0 - vX_[5489];
+ vX_[5521] = 0 - vX_[5510];
+ vX_[5522] = vX_[5515] * vX_[126] + vX_[5516] * vX_[801] + vX_[5517] * vX_[805] + vX_[5518] * vX_[1010] +
+ vX_[5519] * vX_[1018] + vX_[5520] * vX_[1026] + vX_[5521] * vX_[810] + vX_[5497] * vX_[975];
+ vX_[5523] = vX_[5522] * vX_[951];
+ vX_[5524] = vX_[5514] + vX_[5523];
+ vX_[5525] = vX_[5511] * vX_[984];
+ vX_[5526] = vX_[5522] * vX_[988];
+ vX_[5527] = vX_[5525] + vX_[5526];
+ vX_[5528] = vX_[5511] * vX_[951];
+ vX_[5529] = vX_[5499] * vX_[988];
+ vX_[5530] = vX_[5528] - vX_[5529];
+ vX_[5513] = vX_[5513] * vX_[1003] +
+ (vX_[5513] * vX_[1002] + vX_[5524] * vX_[1033] + vX_[5527] * vX_[1037] + vX_[5530] * vX_[1041]) * 2.;
+ vX_[5526] = 0 - vX_[5525] + vX_[5526];
+ vX_[5523] = vX_[5514] - vX_[5523];
+ vX_[5530] = vX_[5530] * vX_[1003] + vX_[5526] * vX_[1034] + vX_[5523] * vX_[892];
+ vX_[5514] = 0 - vX_[5530];
+ vX_[5525] = vX_[5513] * vX_[1001] + vX_[5514] * vX_[997];
+ vX_[5531] = vX_[5522] * vX_[984];
+ vX_[5512] = 0 - vX_[5531] - vX_[5512];
+ vX_[5529] = vX_[5528] + vX_[5529];
+ vX_[5512] = vX_[5524] * vX_[1003] + vX_[5512] * vX_[1034] +
+ (vX_[5512] * vX_[1033] + vX_[5529] * vX_[1037] + vX_[5526] * vX_[1041]) * 2.;
+ vX_[5526] = 0 - vX_[5512];
+ vX_[5531] = 0 - vX_[5531] - vX_[5500];
+ vX_[5531] = vX_[5527] * vX_[1003] + vX_[5529] * vX_[1034] + vX_[5531] * vX_[892] +
+ (vX_[5531] * vX_[1037] + vX_[5523] * vX_[1041]) * 2.;
+ vX_[5529] = vX_[5526] * vX_[997] + vX_[5531] * vX_[1001];
+ vX_[5523] = vX_[5512] * vX_[1001] + vX_[5531] * vX_[997];
+ vX_[5527] = vX_[5513] * vX_[997] + vX_[5530] * vX_[1001];
+ vX_[5500] = vX_[5439] * vX_[235] + vX_[5437] * vX_[1030] + vX_[5429] * vX_[250] + vX_[5424] * vX_[248] +
+ vX_[5455] * vX_[1038];
+ vX_[5524] = vX_[5455] * -1;
+ vX_[5528] = vX_[5427] * -1 + vX_[5429] * 0.207;
+ vX_[5532] = vX_[5528] * 1 / vX_[232];
+ vX_[5533] = vX_[5500] * 1 / vX_[232];
+ vX_[5534] = vX_[5439] * vX_[1050] + vX_[5437] * vX_[1051] + vX_[5429] * vX_[1052] + vX_[5424] * vX_[1053] +
+ vX_[5455] * vX_[164];
+ vX_[5535] = vX_[5534] * 1 / vX_[232];
+ vX_[5536] = vX_[5524] * 1 / vX_[232];
+ vX_[5537] = vX_[5429] * vX_[235] + vX_[5424] * vX_[249];
+ vX_[5538] = vX_[5537] * 1 / vX_[232];
+ vX_[5539] = vX_[5429] * vX_[249] + vX_[5424] * vX_[247];
+ vX_[5540] = vX_[5539] * 1 / vX_[232];
+ vX_[5524] = vX_[5524] - (vX_[5532] * vX_[244] + vX_[5533] * vX_[206] + vX_[5535] * vX_[196] + vX_[5536] * vX_[232] +
+ vX_[5538] * vX_[258] + vX_[5540] * vX_[267]);
+ vX_[5541] = vX_[5500] * -1 + vX_[5524] * -0.08;
+ vX_[5542] = vX_[5524] * vX_[186] + vX_[5539] * vX_[195];
+ vX_[5543] = vX_[5541] + vX_[5542] * -0.35;
+ vX_[5544] = 0 - vX_[5543];
+ vX_[5545] = vX_[5528] * vX_[186] + vX_[5534] * vX_[1065] + vX_[5537] * vX_[1066];
+ vX_[5546] = vX_[5528] * vX_[166] + vX_[5534] * vX_[186] + vX_[5537] * vX_[201];
+ vX_[5547] = vX_[5537] * -1;
+ vX_[5548] = vX_[5545] * 1 / vX_[183];
+ vX_[5549] = vX_[5546] * 1 / vX_[183];
+ vX_[5550] = vX_[5547] * 1 / vX_[183];
+ vX_[5551] = vX_[5542] * 1 / vX_[183];
+ vX_[5552] = vX_[5524] * vX_[166] + vX_[5539] * vX_[186];
+ vX_[5553] = vX_[5552] * 1 / vX_[183];
+ vX_[5547] = vX_[5547] - (vX_[5548] * vX_[190] + vX_[5549] * vX_[181] + vX_[5550] * vX_[183] + vX_[5551] * 2.1e-05 +
+ vX_[5553] * -0.000102);
+ vX_[5554] = vX_[5545] * vX_[169] + vX_[5546] * vX_[1069] + vX_[5547] * vX_[1077];
+ vX_[5555] = 0 - vX_[5554];
+ vX_[5556] = vX_[5545] * vX_[167] + vX_[5546] * vX_[169] + vX_[5547] * vX_[168];
+ vX_[5557] = 0 - vX_[5556];
+ vX_[5558] = vX_[5547] - (vX_[5554] * 38.1956380581338 * 0.110125 + vX_[5556] * 38.1956380581338 * 0.000881 +
+ vX_[5547] * 38.1956380581338 * 0.026181);
+ vX_[5559] = 0 - vX_[5558];
+ vX_[5560] = vX_[5542] * vX_[169] + vX_[5552] * vX_[175];
+ vX_[5561] = 0 - vX_[5560];
+ vX_[5562] = vX_[5542] * vX_[167] + vX_[5552] * vX_[169];
+ vX_[5563] = 0 - vX_[5562];
+ vX_[5564] = 0 - vX_[5558];
+ vX_[5565] = 0 - vX_[5560];
+ vX_[5566] = 0 - vX_[5562];
+ vX_[5567] = vX_[5564] * vX_[1111] + vX_[5565] * vX_[1116] + vX_[5566] * vX_[1120];
+ vX_[5568] = 0 - vX_[5560];
+ vX_[5569] = 0 - vX_[5562];
+ vX_[5570] = vX_[5568] * vX_[1126] + vX_[5569] * vX_[1130];
+ vX_[5571] = 0 - vX_[5570];
+ vX_[5572] = vX_[5544] * vX_[163] + vX_[5555] * vX_[1083] + vX_[5557] * vX_[1088] + vX_[5559] * vX_[1092] +
+ vX_[5561] * vX_[1101] + vX_[5563] * vX_[1109] + vX_[5567] * vX_[1124] + vX_[5571] * vX_[1138];
+ vX_[5573] = vX_[5572] * vX_[1262];
+ vX_[5574] = 0 - vX_[5554];
+ vX_[5575] = 0 - vX_[5556];
+ vX_[5576] = 0 - vX_[5558];
+ vX_[5577] = 0 - vX_[5560];
+ vX_[5578] = 0 - vX_[5562];
+ vX_[5579] = 0 - vX_[5567];
+ vX_[5580] = 0 - vX_[5558];
+ vX_[5581] = 0 - vX_[5560];
+ vX_[5582] = 0 - vX_[5562];
+ vX_[5583] = vX_[5580] * vX_[163] + vX_[5581] * vX_[1082] + vX_[5582] * vX_[1086];
+ vX_[5584] = vX_[5574] * vX_[1126] + vX_[5575] * vX_[1129] + vX_[5576] * vX_[1268] + vX_[5577] * vX_[1274] +
+ vX_[5578] * vX_[1279] + vX_[5579] * vX_[1219] + vX_[5583] * vX_[1138];
+ vX_[5585] = vX_[5584] * vX_[1297];
+ vX_[5586] = 0 - vX_[5573] - vX_[5585];
+ vX_[5587] = vX_[5572] * vX_[1293];
+ vX_[5588] = 0 - vX_[5543];
+ vX_[5589] = 0 - vX_[5554];
+ vX_[5590] = 0 - vX_[5556];
+ vX_[5591] = 0 - vX_[5558];
+ vX_[5592] = 0 - vX_[5560];
+ vX_[5593] = 0 - vX_[5562];
+ vX_[5594] = 0 - vX_[5583];
+ vX_[5595] = vX_[5588] * vX_[1314] + vX_[5589] * vX_[1114] + vX_[5590] * vX_[1119] + vX_[5591] * vX_[1321] +
+ vX_[5592] * vX_[1329] + vX_[5593] * vX_[1337] + vX_[5594] * vX_[1124] + vX_[5570] * vX_[1219];
+ vX_[5596] = vX_[5595] * vX_[1262];
+ vX_[5597] = vX_[5587] + vX_[5596];
+ vX_[5598] = vX_[5584] * vX_[1293];
+ vX_[5599] = vX_[5595] * vX_[1297];
+ vX_[5600] = vX_[5598] + vX_[5599];
+ vX_[5601] = vX_[5584] * vX_[1262];
+ vX_[5602] = vX_[5572] * vX_[1297];
+ vX_[5603] = vX_[5601] - vX_[5602];
+ vX_[5586] = vX_[5586] * vX_[1312] +
+ (vX_[5586] * vX_[1311] + vX_[5597] * vX_[1344] + vX_[5600] * vX_[1348] + vX_[5603] * vX_[1352]) * 2.;
+ vX_[5599] = 0 - vX_[5598] + vX_[5599];
+ vX_[5596] = vX_[5587] - vX_[5596];
+ vX_[5603] = vX_[5603] * vX_[1312] + vX_[5599] * vX_[1345] + vX_[5596] * vX_[1208];
+ vX_[5587] = 0 - vX_[5603];
+ vX_[5598] = vX_[5586] * vX_[1310] + vX_[5587] * vX_[1306];
+ vX_[5604] = vX_[5595] * vX_[1293];
+ vX_[5585] = 0 - vX_[5604] - vX_[5585];
+ vX_[5602] = vX_[5601] + vX_[5602];
+ vX_[5585] = vX_[5597] * vX_[1312] + vX_[5585] * vX_[1345] +
+ (vX_[5585] * vX_[1344] + vX_[5602] * vX_[1348] + vX_[5599] * vX_[1352]) * 2.;
+ vX_[5599] = 0 - vX_[5585];
+ vX_[5604] = 0 - vX_[5604] - vX_[5573];
+ vX_[5604] = vX_[5600] * vX_[1312] + vX_[5602] * vX_[1345] + vX_[5604] * vX_[1208] +
+ (vX_[5604] * vX_[1348] + vX_[5596] * vX_[1352]) * 2.;
+ vX_[5602] = vX_[5599] * vX_[1306] + vX_[5604] * vX_[1310];
+ vX_[5596] = vX_[5585] * vX_[1310] + vX_[5604] * vX_[1306];
+ vX_[5600] = vX_[5586] * vX_[1306] + vX_[5603] * vX_[1310];
+ vX_[5573] = vX_[5439] * vX_[354] + vX_[5437] * vX_[273] + vX_[5429] * vX_[368] + vX_[5424] * vX_[366] +
+ vX_[5455] * vX_[1341];
+ vX_[5597] = vX_[5427] + vX_[5429] * 0.207;
+ vX_[5601] = vX_[5597] * 1 / vX_[351];
+ vX_[5605] = vX_[5573] * 1 / vX_[351];
+ vX_[5606] = vX_[5439] * vX_[1359] + vX_[5437] * vX_[354] + vX_[5429] * vX_[1360] + vX_[5424] * vX_[1361] +
+ vX_[5455] * vX_[274];
+ vX_[5607] = vX_[5606] * 1 / vX_[351];
+ vX_[5608] = vX_[5455] * 1 / vX_[351];
+ vX_[5609] = vX_[5429] * vX_[354] + vX_[5424] * vX_[273];
+ vX_[5610] = vX_[5609] * 1 / vX_[351];
+ vX_[5611] = vX_[5429] * vX_[367] + vX_[5424] * vX_[354];
+ vX_[5612] = vX_[5611] * 1 / vX_[351];
+ vX_[5613] = vX_[5455] - (vX_[5413] + vX_[5601] * vX_[363] + vX_[5605] * vX_[325] + vX_[5607] * vX_[316] +
+ vX_[5608] * vX_[351] + vX_[5610] * vX_[376] + vX_[5612] * vX_[385]);
+ vX_[5614] = vX_[5573] + vX_[5613] * 0.08;
+ vX_[5615] = vX_[5613] * vX_[304] + vX_[5611] * vX_[276];
+ vX_[5616] = vX_[5614] + vX_[5615] * -0.35;
+ vX_[5617] = 0 - vX_[5616];
+ vX_[5618] = vX_[5597] * vX_[1374] + vX_[5606] * vX_[1375] + vX_[5609] * vX_[1376];
+ vX_[5619] = vX_[5597] * vX_[1378] + vX_[5606] * vX_[303] + vX_[5609] * vX_[321];
+ vX_[5620] = vX_[5618] * 1 / vX_[300];
+ vX_[5621] = vX_[5619] * 1 / vX_[300];
+ vX_[5622] = vX_[5609] * 1 / vX_[300];
+ vX_[5623] = vX_[5615] * 1 / vX_[300];
+ vX_[5624] = vX_[5613] * vX_[276] + vX_[5611] * vX_[303];
+ vX_[5625] = vX_[5624] * 1 / vX_[300];
+ vX_[5626] = vX_[5609] - (vX_[5620] * vX_[311] + vX_[5621] * vX_[298] + vX_[5622] * vX_[300] + vX_[5623] * vX_[307] +
+ vX_[5625] * vX_[288]);
+ vX_[5627] = vX_[5618] * vX_[277] + vX_[5619] * vX_[1380] + vX_[5626] * vX_[1388];
+ vX_[5628] = 0 - vX_[5627];
+ vX_[5629] = vX_[5618] * vX_[279] + vX_[5619] * vX_[277] + vX_[5626] * vX_[282];
+ vX_[5630] = 0 - vX_[5629];
+ vX_[5631] = vX_[5626] - (vX_[5627] * 38.1956380581338 * 0.1104774 + vX_[5629] * 38.1956380581338 * -0.0004405 +
+ vX_[5626] * 38.1956380581338 * 0.026181);
+ vX_[5632] = 0 - vX_[5631];
+ vX_[5633] = vX_[5615] * vX_[277] + vX_[5624] * vX_[280];
+ vX_[5634] = 0 - vX_[5633];
+ vX_[5635] = vX_[5615] * vX_[279] + vX_[5624] * vX_[277];
+ vX_[5636] = 0 - vX_[5635];
+ vX_[5637] = 0 - vX_[5631];
+ vX_[5638] = 0 - vX_[5633];
+ vX_[5639] = 0 - vX_[5635];
+ vX_[5640] = vX_[5637] * vX_[354] + vX_[5638] * vX_[1428] + vX_[5639] * vX_[1431];
+ vX_[5641] = 0 - vX_[5633];
+ vX_[5642] = 0 - vX_[5635];
+ vX_[5643] = vX_[5641] * vX_[1437] + vX_[5642] * vX_[1441];
+ vX_[5644] = 0 - vX_[5643];
+ vX_[5645] = vX_[5617] * vX_[273] + vX_[5628] * vX_[1395] + vX_[5630] * vX_[1400] + vX_[5632] * vX_[1404] +
+ vX_[5634] * vX_[1413] + vX_[5636] * vX_[1422] + vX_[5640] * vX_[1435] + vX_[5644] * vX_[1449];
+ vX_[5646] = vX_[5645] * vX_[1574];
+ vX_[5647] = 0 - vX_[5627];
+ vX_[5648] = 0 - vX_[5629];
+ vX_[5649] = 0 - vX_[5631];
+ vX_[5650] = 0 - vX_[5633];
+ vX_[5651] = 0 - vX_[5635];
+ vX_[5652] = 0 - vX_[5640];
+ vX_[5653] = 0 - vX_[5631];
+ vX_[5654] = 0 - vX_[5633];
+ vX_[5655] = 0 - vX_[5635];
+ vX_[5656] = vX_[5653] * vX_[273] + vX_[5654] * vX_[1394] + vX_[5655] * vX_[1399];
+ vX_[5657] = vX_[5647] * vX_[1437] + vX_[5648] * vX_[1440] + vX_[5649] * vX_[1580] + vX_[5650] * vX_[1586] +
+ vX_[5651] * vX_[1591] + vX_[5652] * vX_[1596] + vX_[5656] * vX_[1449];
+ vX_[5658] = vX_[5657] * vX_[1609];
+ vX_[5659] = 0 - vX_[5646] - vX_[5658];
+ vX_[5660] = vX_[5645] * vX_[1605];
+ vX_[5661] = 0 - vX_[5616];
+ vX_[5662] = 0 - vX_[5627];
+ vX_[5663] = 0 - vX_[5629];
+ vX_[5664] = 0 - vX_[5631];
+ vX_[5665] = 0 - vX_[5633];
+ vX_[5666] = 0 - vX_[5635];
+ vX_[5667] = 0 - vX_[5656];
+ vX_[5668] = vX_[5661] * vX_[354] + vX_[5662] * vX_[1426] + vX_[5663] * vX_[1430] + vX_[5664] * vX_[1631] +
+ vX_[5665] * vX_[1639] + vX_[5666] * vX_[1647] + vX_[5667] * vX_[1435] + vX_[5643] * vX_[1596];
+ vX_[5669] = vX_[5668] * vX_[1574];
+ vX_[5670] = vX_[5660] + vX_[5669];
+ vX_[5671] = vX_[5657] * vX_[1605];
+ vX_[5672] = vX_[5668] * vX_[1609];
+ vX_[5673] = vX_[5671] + vX_[5672];
+ vX_[5674] = vX_[5657] * vX_[1574];
+ vX_[5675] = vX_[5645] * vX_[1609];
+ vX_[5676] = vX_[5674] - vX_[5675];
+ vX_[5659] = vX_[5659] * vX_[1624] +
+ (vX_[5659] * vX_[1623] + vX_[5670] * vX_[1654] + vX_[5673] * vX_[1658] + vX_[5676] * vX_[1662]) * 2.;
+ vX_[5672] = 0 - vX_[5671] + vX_[5672];
+ vX_[5669] = vX_[5660] - vX_[5669];
+ vX_[5676] = vX_[5676] * vX_[1624] + vX_[5672] * vX_[1655] + vX_[5669] * vX_[1519];
+ vX_[5660] = 0 - vX_[5676];
+ vX_[5671] = vX_[5659] * vX_[1622] + vX_[5660] * vX_[1618];
+ vX_[5677] = vX_[5668] * vX_[1605];
+ vX_[5658] = 0 - vX_[5677] - vX_[5658];
+ vX_[5675] = vX_[5674] + vX_[5675];
+ vX_[5658] = vX_[5670] * vX_[1624] + vX_[5658] * vX_[1655] +
+ (vX_[5658] * vX_[1654] + vX_[5675] * vX_[1658] + vX_[5672] * vX_[1662]) * 2.;
+ vX_[5672] = 0 - vX_[5658];
+ vX_[5677] = 0 - vX_[5677] - vX_[5646];
+ vX_[5677] = vX_[5673] * vX_[1624] + vX_[5675] * vX_[1655] + vX_[5677] * vX_[1519] +
+ (vX_[5677] * vX_[1658] + vX_[5669] * vX_[1662]) * 2.;
+ vX_[5675] = vX_[5672] * vX_[1618] + vX_[5677] * vX_[1622];
+ vX_[5669] = vX_[5658] * vX_[1622] + vX_[5677] * vX_[1618];
+ vX_[5673] = vX_[5659] * vX_[1618] + vX_[5676] * vX_[1622];
+ vX_[5646] = vX_[5439] * vX_[473] + vX_[5437] * vX_[1651] + vX_[5429] * vX_[488] + vX_[5424] * vX_[486] +
+ vX_[5455] * vX_[1659];
+ vX_[5670] = vX_[5455] * -1;
+ vX_[5674] = vX_[5427] * -1 + vX_[5429] * 0.207;
+ vX_[5678] = vX_[5674] * 1 / vX_[470];
+ vX_[5679] = vX_[5646] * 1 / vX_[470];
+ vX_[5680] = vX_[5439] * vX_[1671] + vX_[5437] * vX_[1672] + vX_[5429] * vX_[1673] + vX_[5424] * vX_[1674] +
+ vX_[5455] * vX_[392];
+ vX_[5681] = vX_[5680] * 1 / vX_[470];
+ vX_[5682] = vX_[5670] * 1 / vX_[470];
+ vX_[5683] = vX_[5429] * vX_[473] + vX_[5424] * vX_[487];
+ vX_[5684] = vX_[5683] * 1 / vX_[470];
+ vX_[5685] = vX_[5429] * vX_[487] + vX_[5424] * vX_[485];
+ vX_[5686] = vX_[5685] * 1 / vX_[470];
+ vX_[5670] = vX_[5670] - (vX_[5678] * vX_[482] + vX_[5679] * vX_[444] + vX_[5681] * vX_[434] + vX_[5682] * vX_[470] +
+ vX_[5684] * vX_[496] + vX_[5686] * vX_[505]);
+ vX_[5687] = vX_[5646] * -1 + vX_[5670] * -0.08;
+ vX_[5688] = vX_[5670] * vX_[421] + vX_[5685] * vX_[433];
+ vX_[5689] = vX_[5687] + vX_[5688] * -0.35;
+ vX_[5690] = 0 - vX_[5689];
+ vX_[5691] = vX_[5674] * vX_[421] + vX_[5680] * vX_[1686] + vX_[5683] * vX_[1687];
+ vX_[5692] = vX_[5674] * vX_[394] + vX_[5680] * vX_[421] + vX_[5683] * vX_[439];
+ vX_[5693] = vX_[5683] * -1;
+ vX_[5694] = vX_[5691] * 1 / vX_[418];
+ vX_[5695] = vX_[5692] * 1 / vX_[418];
+ vX_[5696] = vX_[5693] * 1 / vX_[418];
+ vX_[5697] = vX_[5688] * 1 / vX_[418];
+ vX_[5698] = vX_[5670] * vX_[394] + vX_[5685] * vX_[421];
+ vX_[5699] = vX_[5698] * 1 / vX_[418];
+ vX_[5693] = vX_[5693] - (vX_[5694] * vX_[428] + vX_[5695] * vX_[416] + vX_[5696] * vX_[418] + vX_[5697] * vX_[424] +
+ vX_[5699] * vX_[406]);
+ vX_[5700] = vX_[5691] * vX_[395] + vX_[5692] * vX_[1690] + vX_[5693] * vX_[1698];
+ vX_[5701] = 0 - vX_[5700];
+ vX_[5702] = vX_[5691] * vX_[397] + vX_[5692] * vX_[395] + vX_[5693] * vX_[400];
+ vX_[5703] = 0 - vX_[5702];
+ vX_[5704] = vX_[5693] - (vX_[5700] * 38.1956380581338 * 0.1104774 + vX_[5702] * 38.1956380581338 * -0.0004405 +
+ vX_[5693] * 38.1956380581338 * 0.026181);
+ vX_[5705] = 0 - vX_[5704];
+ vX_[5706] = vX_[5688] * vX_[395] + vX_[5698] * vX_[398];
+ vX_[5707] = 0 - vX_[5706];
+ vX_[5708] = vX_[5688] * vX_[397] + vX_[5698] * vX_[395];
+ vX_[5709] = 0 - vX_[5708];
+ vX_[5710] = 0 - vX_[5704];
+ vX_[5711] = 0 - vX_[5706];
+ vX_[5712] = 0 - vX_[5708];
+ vX_[5713] = vX_[5710] * vX_[1734] + vX_[5711] * vX_[1739] + vX_[5712] * vX_[1743];
+ vX_[5714] = 0 - vX_[5706];
+ vX_[5715] = 0 - vX_[5708];
+ vX_[5716] = vX_[5714] * vX_[1749] + vX_[5715] * vX_[1753];
+ vX_[5717] = 0 - vX_[5716];
+ vX_[5718] = vX_[5690] * vX_[391] + vX_[5701] * vX_[1705] + vX_[5703] * vX_[1710] + vX_[5705] * vX_[1714] +
+ vX_[5707] * vX_[1723] + vX_[5709] * vX_[1732] + vX_[5713] * vX_[1747] + vX_[5717] * vX_[1761];
+ vX_[5719] = vX_[5718] * vX_[1887];
+ vX_[5720] = 0 - vX_[5700];
+ vX_[5721] = 0 - vX_[5702];
+ vX_[5722] = 0 - vX_[5704];
+ vX_[5723] = 0 - vX_[5706];
+ vX_[5724] = 0 - vX_[5708];
+ vX_[5725] = 0 - vX_[5713];
+ vX_[5726] = 0 - vX_[5704];
+ vX_[5727] = 0 - vX_[5706];
+ vX_[5728] = 0 - vX_[5708];
+ vX_[5729] = vX_[5726] * vX_[391] + vX_[5727] * vX_[1704] + vX_[5728] * vX_[1708];
+ vX_[5730] = vX_[5720] * vX_[1749] + vX_[5721] * vX_[1752] + vX_[5722] * vX_[1893] + vX_[5723] * vX_[1899] +
+ vX_[5724] * vX_[1904] + vX_[5725] * vX_[1911] + vX_[5729] * vX_[1761];
+ vX_[5731] = vX_[5730] * vX_[1923];
+ vX_[5732] = 0 - vX_[5719] - vX_[5731];
+ vX_[5733] = vX_[5718] * vX_[1919];
+ vX_[5734] = 0 - vX_[5689];
+ vX_[5735] = 0 - vX_[5700];
+ vX_[5736] = 0 - vX_[5702];
+ vX_[5737] = 0 - vX_[5704];
+ vX_[5738] = 0 - vX_[5706];
+ vX_[5739] = 0 - vX_[5708];
+ vX_[5740] = 0 - vX_[5729];
+ vX_[5741] = vX_[5734] * vX_[1940] + vX_[5735] * vX_[1737] + vX_[5736] * vX_[1742] + vX_[5737] * vX_[1947] +
+ vX_[5738] * vX_[1955] + vX_[5739] * vX_[1963] + vX_[5740] * vX_[1747] + vX_[5716] * vX_[1911];
+ vX_[5742] = vX_[5741] * vX_[1887];
+ vX_[5743] = vX_[5733] + vX_[5742];
+ vX_[5744] = vX_[5730] * vX_[1919];
+ vX_[5745] = vX_[5741] * vX_[1923];
+ vX_[5746] = vX_[5744] + vX_[5745];
+ vX_[5747] = vX_[5730] * vX_[1887];
+ vX_[5748] = vX_[5718] * vX_[1923];
+ vX_[5749] = vX_[5747] - vX_[5748];
+ vX_[5732] = vX_[5732] * vX_[1938] +
+ (vX_[5732] * vX_[1937] + vX_[5743] * vX_[1970] + vX_[5746] * vX_[1974] + vX_[5749] * vX_[1978]) * 2.;
+ vX_[5745] = 0 - vX_[5744] + vX_[5745];
+ vX_[5742] = vX_[5733] - vX_[5742];
+ vX_[5749] = vX_[5749] * vX_[1938] + vX_[5745] * vX_[1971] + vX_[5742] * vX_[1829];
+ vX_[5733] = 0 - vX_[5749];
+ vX_[5744] = vX_[5732] * vX_[1936] + vX_[5733] * vX_[1932];
+ vX_[5750] = vX_[5741] * vX_[1919];
+ vX_[5731] = 0 - vX_[5750] - vX_[5731];
+ vX_[5748] = vX_[5747] + vX_[5748];
+ vX_[5731] = vX_[5743] * vX_[1938] + vX_[5731] * vX_[1971] +
+ (vX_[5731] * vX_[1970] + vX_[5748] * vX_[1974] + vX_[5745] * vX_[1978]) * 2.;
+ vX_[5745] = 0 - vX_[5731];
+ vX_[5750] = 0 - vX_[5750] - vX_[5719];
+ vX_[5750] = vX_[5746] * vX_[1938] + vX_[5748] * vX_[1971] + vX_[5750] * vX_[1829] +
+ (vX_[5750] * vX_[1974] + vX_[5742] * vX_[1978]) * 2.;
+ vX_[5748] = vX_[5745] * vX_[1932] + vX_[5750] * vX_[1936];
+ vX_[5742] = vX_[5731] * vX_[1936] + vX_[5750] * vX_[1932];
+ vX_[5746] = vX_[5732] * vX_[1932] + vX_[5749] * vX_[1936];
+ vX_[5719] = vX_[5522] * vX_[1982] + vX_[5499] * vX_[1985] + vX_[5511] * vX_[1988];
+ vX_[5743] = vX_[5719] * vX_[950] * -1000.;
+ vX_[5747] = vX_[5743] * vX_[872];
+ vX_[5751] = vX_[5522] * vX_[1994] + vX_[5499] * vX_[1987] + vX_[5511] * vX_[1983];
+ vX_[5752] = vX_[5751] * vX_[950] * -1000.;
+ vX_[5753] = vX_[5752] * vX_[891];
+ vX_[5754] = 0 - vX_[5747] - vX_[5753];
+ vX_[5522] = vX_[5522] * vX_[1986] + vX_[5499] * vX_[1975] + vX_[5511] * vX_[1993];
+ vX_[5511] = vX_[5522] * vX_[950] * -1000.;
+ vX_[5499] = vX_[5511] * vX_[872];
+ vX_[5755] = vX_[5743] * vX_[909];
+ vX_[5756] = vX_[5499] + vX_[5755];
+ vX_[5757] = vX_[5511] * vX_[891];
+ vX_[5758] = vX_[5752] * vX_[909];
+ vX_[5759] = vX_[5757] + vX_[5758];
+ vX_[5760] = vX_[5743] * vX_[891];
+ vX_[5761] = vX_[5752] * vX_[872];
+ vX_[5762] = vX_[5760] - vX_[5761];
+ vX_[5754] = vX_[5754] * vX_[838] +
+ (vX_[5754] * vX_[837] + vX_[5756] * vX_[873] + vX_[5759] * vX_[842] + vX_[5762] * vX_[876]) * 2.;
+ vX_[5758] = 0 - vX_[5757] + vX_[5758];
+ vX_[5755] = vX_[5499] - vX_[5755];
+ vX_[5762] = vX_[5762] * vX_[838] + vX_[5758] * vX_[874] + vX_[5755] * vX_[843];
+ vX_[5499] = 0 - vX_[5762];
+ vX_[5757] = vX_[5754] * vX_[836] + vX_[5499] * vX_[832];
+ vX_[5763] = vX_[5511] * vX_[909];
+ vX_[5753] = 0 - vX_[5763] - vX_[5753];
+ vX_[5761] = vX_[5760] + vX_[5761];
+ vX_[5753] = vX_[5756] * vX_[838] + vX_[5753] * vX_[874] +
+ (vX_[5753] * vX_[873] + vX_[5761] * vX_[842] + vX_[5758] * vX_[876]) * 2.;
+ vX_[5758] = 0 - vX_[5753];
+ vX_[5763] = 0 - vX_[5763] - vX_[5747];
+ vX_[5763] = vX_[5759] * vX_[838] + vX_[5761] * vX_[874] + vX_[5763] * vX_[843] +
+ (vX_[5763] * vX_[842] + vX_[5755] * vX_[876]) * 2.;
+ vX_[5761] = vX_[5758] * vX_[832] + vX_[5763] * vX_[836];
+ vX_[5755] = vX_[5753] * vX_[836] + vX_[5763] * vX_[832];
+ vX_[5759] = vX_[5754] * vX_[832] + vX_[5762] * vX_[836];
+ vX_[5522] = vX_[5522] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[5522] * vX_[844] + vX_[5719] * vX_[910] + vX_[5751] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[5751] = vX_[5522] * vX_[935];
+ vX_[5719] = vX_[5522] * vX_[939];
+ vX_[5747] = (vX_[5751] * vX_[925] + vX_[5719] * vX_[926]) * 2.;
+ vX_[5756] = 0 - vX_[5719];
+ vX_[5760] = vX_[5756] * vX_[936] + vX_[5751] * vX_[927];
+ vX_[5764] = 0 - vX_[5760];
+ vX_[5765] = vX_[5747] * vX_[921] + vX_[5764] * vX_[917];
+ vX_[5766] = vX_[5522] * vX_[946];
+ vX_[5767] = 0 - vX_[5766];
+ vX_[5767] = vX_[5751] * vX_[922] + vX_[5767] * vX_[936] + (vX_[5767] * vX_[925] + vX_[5756] * vX_[928]) * 2.;
+ vX_[5756] = 0 - vX_[5767];
+ vX_[5766] = 0 - vX_[5766];
+ vX_[5766] = vX_[5719] * vX_[922] + vX_[5766] * vX_[927] + (vX_[5766] * vX_[926] + vX_[5751] * vX_[928]) * 2.;
+ vX_[5719] = vX_[5756] * vX_[917] + vX_[5766] * vX_[921];
+ vX_[5751] = vX_[5767] * vX_[921] + vX_[5766] * vX_[917];
+ vX_[5768] = vX_[5747] * vX_[917] + vX_[5760] * vX_[921];
+ vX_[5769] = vX_[5595] * vX_[2014] + vX_[5572] * vX_[2017] + vX_[5584] * vX_[2020];
+ vX_[5770] = vX_[5769] * vX_[1261] * -1000.;
+ vX_[5771] = vX_[5770] * vX_[1189];
+ vX_[5772] = vX_[5595] * vX_[2026] + vX_[5572] * vX_[2019] + vX_[5584] * vX_[2015];
+ vX_[5773] = vX_[5772] * vX_[1261] * -1000.;
+ vX_[5774] = vX_[5773] * vX_[1207];
+ vX_[5775] = 0 - vX_[5771] - vX_[5774];
+ vX_[5595] = vX_[5595] * vX_[2018] + vX_[5572] * vX_[2013] + vX_[5584] * vX_[2025];
+ vX_[5584] = vX_[5595] * vX_[1261] * -1000.;
+ vX_[5572] = vX_[5584] * vX_[1189];
+ vX_[5776] = vX_[5770] * vX_[1226];
+ vX_[5777] = vX_[5572] + vX_[5776];
+ vX_[5778] = vX_[5584] * vX_[1207];
+ vX_[5779] = vX_[5773] * vX_[1226];
+ vX_[5780] = vX_[5778] + vX_[5779];
+ vX_[5781] = vX_[5770] * vX_[1207];
+ vX_[5782] = vX_[5773] * vX_[1189];
+ vX_[5783] = vX_[5781] - vX_[5782];
+ vX_[5775] = vX_[5775] * vX_[1152] +
+ (vX_[5775] * vX_[1151] + vX_[5777] * vX_[1190] + vX_[5780] * vX_[1156] + vX_[5783] * vX_[1193]) * 2.;
+ vX_[5779] = 0 - vX_[5778] + vX_[5779];
+ vX_[5776] = vX_[5572] - vX_[5776];
+ vX_[5783] = vX_[5783] * vX_[1152] + vX_[5779] * vX_[1191] + vX_[5776] * vX_[1157];
+ vX_[5572] = 0 - vX_[5783];
+ vX_[5778] = vX_[5775] * vX_[1150] + vX_[5572] * vX_[1146];
+ vX_[5784] = vX_[5584] * vX_[1226];
+ vX_[5774] = 0 - vX_[5784] - vX_[5774];
+ vX_[5782] = vX_[5781] + vX_[5782];
+ vX_[5774] = vX_[5777] * vX_[1152] + vX_[5774] * vX_[1191] +
+ (vX_[5774] * vX_[1190] + vX_[5782] * vX_[1156] + vX_[5779] * vX_[1193]) * 2.;
+ vX_[5779] = 0 - vX_[5774];
+ vX_[5784] = 0 - vX_[5784] - vX_[5771];
+ vX_[5784] = vX_[5780] * vX_[1152] + vX_[5782] * vX_[1191] + vX_[5784] * vX_[1157] +
+ (vX_[5784] * vX_[1156] + vX_[5776] * vX_[1193]) * 2.;
+ vX_[5782] = vX_[5779] * vX_[1146] + vX_[5784] * vX_[1150];
+ vX_[5776] = vX_[5774] * vX_[1150] + vX_[5784] * vX_[1146];
+ vX_[5780] = vX_[5775] * vX_[1146] + vX_[5783] * vX_[1150];
+ vX_[5595] =
+ vX_[5595] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[5595] * vX_[1158] + vX_[5769] * vX_[1227] + vX_[5772] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[5772] = vX_[5595] * vX_[1250];
+ vX_[5769] = vX_[5595] * vX_[1181];
+ vX_[5771] = (vX_[5772] * vX_[1242] + vX_[5769] * vX_[1243]) * 2.;
+ vX_[5777] = 0 - vX_[5769];
+ vX_[5781] = vX_[5777] * vX_[1251] + vX_[5772] * vX_[1244];
+ vX_[5785] = 0 - vX_[5781];
+ vX_[5786] = vX_[5771] * vX_[1238] + vX_[5785] * vX_[1234];
+ vX_[5787] = vX_[5595] * vX_[1257];
+ vX_[5788] = 0 - vX_[5787];
+ vX_[5788] = vX_[5772] * vX_[1239] + vX_[5788] * vX_[1251] + (vX_[5788] * vX_[1242] + vX_[5777] * vX_[1245]) * 2.;
+ vX_[5777] = 0 - vX_[5788];
+ vX_[5787] = 0 - vX_[5787];
+ vX_[5787] = vX_[5769] * vX_[1239] + vX_[5787] * vX_[1244] + (vX_[5787] * vX_[1243] + vX_[5772] * vX_[1245]) * 2.;
+ vX_[5769] = vX_[5777] * vX_[1234] + vX_[5787] * vX_[1238];
+ vX_[5772] = vX_[5788] * vX_[1238] + vX_[5787] * vX_[1234];
+ vX_[5789] = vX_[5771] * vX_[1234] + vX_[5781] * vX_[1238];
+ vX_[5790] = vX_[5668] * vX_[2046] + vX_[5645] * vX_[2049] + vX_[5657] * vX_[2052];
+ vX_[5791] = vX_[5790] * vX_[1573] * -1000.;
+ vX_[5792] = vX_[5791] * vX_[1499];
+ vX_[5793] = vX_[5668] * vX_[2058] + vX_[5645] * vX_[2051] + vX_[5657] * vX_[2047];
+ vX_[5794] = vX_[5793] * vX_[1573] * -1000.;
+ vX_[5795] = vX_[5794] * vX_[1518];
+ vX_[5796] = 0 - vX_[5792] - vX_[5795];
+ vX_[5668] = vX_[5668] * vX_[2050] + vX_[5645] * vX_[2045] + vX_[5657] * vX_[2057];
+ vX_[5657] = vX_[5668] * vX_[1573] * -1000.;
+ vX_[5645] = vX_[5657] * vX_[1499];
+ vX_[5797] = vX_[5791] * vX_[1536];
+ vX_[5798] = vX_[5645] + vX_[5797];
+ vX_[5799] = vX_[5657] * vX_[1518];
+ vX_[5800] = vX_[5794] * vX_[1536];
+ vX_[5801] = vX_[5799] + vX_[5800];
+ vX_[5802] = vX_[5791] * vX_[1518];
+ vX_[5803] = vX_[5794] * vX_[1499];
+ vX_[5804] = vX_[5802] - vX_[5803];
+ vX_[5796] = vX_[5796] * vX_[1463] +
+ (vX_[5796] * vX_[1462] + vX_[5798] * vX_[1500] + vX_[5801] * vX_[1467] + vX_[5804] * vX_[1503]) * 2.;
+ vX_[5800] = 0 - vX_[5799] + vX_[5800];
+ vX_[5797] = vX_[5645] - vX_[5797];
+ vX_[5804] = vX_[5804] * vX_[1463] + vX_[5800] * vX_[1501] + vX_[5797] * vX_[1468];
+ vX_[5645] = 0 - vX_[5804];
+ vX_[5799] = vX_[5796] * vX_[1461] + vX_[5645] * vX_[1457];
+ vX_[5805] = vX_[5657] * vX_[1536];
+ vX_[5795] = 0 - vX_[5805] - vX_[5795];
+ vX_[5803] = vX_[5802] + vX_[5803];
+ vX_[5795] = vX_[5798] * vX_[1463] + vX_[5795] * vX_[1501] +
+ (vX_[5795] * vX_[1500] + vX_[5803] * vX_[1467] + vX_[5800] * vX_[1503]) * 2.;
+ vX_[5800] = 0 - vX_[5795];
+ vX_[5805] = 0 - vX_[5805] - vX_[5792];
+ vX_[5805] = vX_[5801] * vX_[1463] + vX_[5803] * vX_[1501] + vX_[5805] * vX_[1468] +
+ (vX_[5805] * vX_[1467] + vX_[5797] * vX_[1503]) * 2.;
+ vX_[5803] = vX_[5800] * vX_[1457] + vX_[5805] * vX_[1461];
+ vX_[5797] = vX_[5795] * vX_[1461] + vX_[5805] * vX_[1457];
+ vX_[5801] = vX_[5796] * vX_[1457] + vX_[5804] * vX_[1461];
+ vX_[5668] =
+ vX_[5668] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[5668] * vX_[1469] + vX_[5790] * vX_[1537] + vX_[5793] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[5793] = vX_[5668] * vX_[1560];
+ vX_[5790] = vX_[5668] * vX_[1491];
+ vX_[5792] = (vX_[5793] * vX_[1552] + vX_[5790] * vX_[1553]) * 2.;
+ vX_[5798] = 0 - vX_[5790];
+ vX_[5802] = vX_[5798] * vX_[1561] + vX_[5793] * vX_[1554];
+ vX_[5806] = 0 - vX_[5802];
+ vX_[5807] = vX_[5792] * vX_[1548] + vX_[5806] * vX_[1544];
+ vX_[5808] = vX_[5668] * vX_[1569];
+ vX_[5809] = 0 - vX_[5808];
+ vX_[5809] = vX_[5793] * vX_[1549] + vX_[5809] * vX_[1561] + (vX_[5809] * vX_[1552] + vX_[5798] * vX_[1555]) * 2.;
+ vX_[5798] = 0 - vX_[5809];
+ vX_[5808] = 0 - vX_[5808];
+ vX_[5808] = vX_[5790] * vX_[1549] + vX_[5808] * vX_[1554] + (vX_[5808] * vX_[1553] + vX_[5793] * vX_[1555]) * 2.;
+ vX_[5790] = vX_[5798] * vX_[1544] + vX_[5808] * vX_[1548];
+ vX_[5793] = vX_[5809] * vX_[1548] + vX_[5808] * vX_[1544];
+ vX_[5810] = vX_[5792] * vX_[1544] + vX_[5802] * vX_[1548];
+ vX_[5811] = vX_[5741] * vX_[2078] + vX_[5718] * vX_[2081] + vX_[5730] * vX_[2084];
+ vX_[5812] = vX_[5811] * vX_[1886] * -1000.;
+ vX_[5813] = vX_[5812] * vX_[1809];
+ vX_[5814] = vX_[5741] * vX_[2090] + vX_[5718] * vX_[2083] + vX_[5730] * vX_[2079];
+ vX_[5815] = vX_[5814] * vX_[1886] * -1000.;
+ vX_[5816] = vX_[5815] * vX_[1828];
+ vX_[5817] = 0 - vX_[5813] - vX_[5816];
+ vX_[5741] = vX_[5741] * vX_[2082] + vX_[5718] * vX_[2077] + vX_[5730] * vX_[2089];
+ vX_[5730] = vX_[5741] * vX_[1886] * -1000.;
+ vX_[5718] = vX_[5730] * vX_[1809];
+ vX_[5818] = vX_[5812] * vX_[1846];
+ vX_[5819] = vX_[5718] + vX_[5818];
+ vX_[5820] = vX_[5730] * vX_[1828];
+ vX_[5821] = vX_[5815] * vX_[1846];
+ vX_[5822] = vX_[5820] + vX_[5821];
+ vX_[5823] = vX_[5812] * vX_[1828];
+ vX_[5824] = vX_[5815] * vX_[1809];
+ vX_[5825] = vX_[5823] - vX_[5824];
+ vX_[5817] = vX_[5817] * vX_[1775] +
+ (vX_[5817] * vX_[1774] + vX_[5819] * vX_[1810] + vX_[5822] * vX_[1779] + vX_[5825] * vX_[1813]) * 2.;
+ vX_[5821] = 0 - vX_[5820] + vX_[5821];
+ vX_[5818] = vX_[5718] - vX_[5818];
+ vX_[5825] = vX_[5825] * vX_[1775] + vX_[5821] * vX_[1811] + vX_[5818] * vX_[1780];
+ vX_[5718] = 0 - vX_[5825];
+ vX_[5820] = vX_[5817] * vX_[1773] + vX_[5718] * vX_[1769];
+ vX_[5826] = vX_[5730] * vX_[1846];
+ vX_[5816] = 0 - vX_[5826] - vX_[5816];
+ vX_[5824] = vX_[5823] + vX_[5824];
+ vX_[5816] = vX_[5819] * vX_[1775] + vX_[5816] * vX_[1811] +
+ (vX_[5816] * vX_[1810] + vX_[5824] * vX_[1779] + vX_[5821] * vX_[1813]) * 2.;
+ vX_[5821] = 0 - vX_[5816];
+ vX_[5826] = 0 - vX_[5826] - vX_[5813];
+ vX_[5826] = vX_[5822] * vX_[1775] + vX_[5824] * vX_[1811] + vX_[5826] * vX_[1780] +
+ (vX_[5826] * vX_[1779] + vX_[5818] * vX_[1813]) * 2.;
+ vX_[5824] = vX_[5821] * vX_[1769] + vX_[5826] * vX_[1773];
+ vX_[5818] = vX_[5816] * vX_[1773] + vX_[5826] * vX_[1769];
+ vX_[5822] = vX_[5817] * vX_[1769] + vX_[5825] * vX_[1773];
+ vX_[5741] =
+ vX_[5741] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[5741] * vX_[1781] + vX_[5811] * vX_[1847] + vX_[5814] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[207] = vX_[5522] + vX_[5595] + vX_[5668] + vX_[5741];
+ vX_[5814] = vX_[5741] * vX_[1870];
+ vX_[5811] = vX_[5741] * vX_[1875];
+ vX_[5813] = (vX_[5814] * vX_[1862] + vX_[5811] * vX_[1863]) * 2.;
+ vX_[5819] = 0 - vX_[5811];
+ vX_[5823] = vX_[5819] * vX_[1871] + vX_[5814] * vX_[1864];
+ vX_[5827] = 0 - vX_[5823];
+ vX_[5828] = vX_[5813] * vX_[1858] + vX_[5827] * vX_[1854];
+ vX_[5829] = vX_[5741] * vX_[1882];
+ vX_[5830] = 0 - vX_[5829];
+ vX_[5830] = vX_[5814] * vX_[1859] + vX_[5830] * vX_[1871] + (vX_[5830] * vX_[1862] + vX_[5819] * vX_[1865]) * 2.;
+ vX_[5819] = 0 - vX_[5830];
+ vX_[5829] = 0 - vX_[5829];
+ vX_[5829] = vX_[5811] * vX_[1859] + vX_[5829] * vX_[1864] + (vX_[5829] * vX_[1863] + vX_[5814] * vX_[1865]) * 2.;
+ vX_[5811] = vX_[5819] * vX_[1854] + vX_[5829] * vX_[1858];
+ vX_[5814] = vX_[5830] * vX_[1858] + vX_[5829] * vX_[1854];
+ vX_[5831] = vX_[5813] * vX_[1854] + vX_[5823] * vX_[1858];
+ jac[27] = ((vX_[5525] * vX_[999] + vX_[5529] * vX_[994]) * vX_[1029] -
+ (vX_[5523] * vX_[999] + vX_[5527] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[5598] * vX_[1308] + vX_[5602] * vX_[1303]) * vX_[1340] -
+ (vX_[5596] * vX_[1308] + vX_[5600] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[5671] * vX_[1620] + vX_[5675] * vX_[1615]) * vX_[1650] -
+ (vX_[5669] * vX_[1620] + vX_[5673] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[5744] * vX_[1934] + vX_[5748] * vX_[1929]) * vX_[1966] -
+ (vX_[5742] * vX_[1934] + vX_[5746] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[5757] * vX_[834] + vX_[5761] * vX_[829]) * vX_[1992] -
+ (vX_[5755] * vX_[834] + vX_[5759] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[5765] * vX_[919] + vX_[5719] * vX_[914]) * vX_[1995] -
+ (vX_[5751] * vX_[919] + vX_[5768] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[5778] * vX_[1148] + vX_[5782] * vX_[1143]) * vX_[2024] -
+ (vX_[5776] * vX_[1148] + vX_[5780] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[5786] * vX_[1236] + vX_[5769] * vX_[1231]) * vX_[2027] -
+ (vX_[5772] * vX_[1236] + vX_[5789] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[5799] * vX_[1459] + vX_[5803] * vX_[1454]) * vX_[2056] -
+ (vX_[5797] * vX_[1459] + vX_[5801] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[5807] * vX_[1546] + vX_[5790] * vX_[1541]) * vX_[2059] -
+ (vX_[5793] * vX_[1546] + vX_[5810] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[5820] * vX_[1771] + vX_[5824] * vX_[1766]) * vX_[2088] -
+ (vX_[5818] * vX_[1771] + vX_[5822] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[5828] * vX_[1856] + vX_[5811] * vX_[1851]) * vX_[2091] -
+ (vX_[5814] * vX_[1856] + vX_[5831] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[5832] = 1 / vX_[300];
+ vX_[5833] = 0 - vX_[5832];
+ vX_[5834] = vX_[5833] * vX_[307];
+ vX_[5835] = 0 - vX_[5832];
+ vX_[5836] = vX_[5835] * vX_[288];
+ vX_[5837] = vX_[5834] * vX_[304] + vX_[5836] * vX_[276];
+ vX_[5838] = vX_[5837] * 1 / vX_[351];
+ vX_[5839] = 0 - vX_[5838];
+ vX_[5840] = vX_[5839] * vX_[325];
+ vX_[5841] = 0 - vX_[5832];
+ vX_[5842] = vX_[5841] * vX_[311];
+ vX_[5843] = 0 - vX_[5832];
+ vX_[5844] = vX_[5843] * vX_[298];
+ vX_[5845] = 0 - vX_[5838];
+ vX_[5846] = vX_[5842] * vX_[1375] + vX_[5844] * vX_[303] + vX_[5845] * vX_[316];
+ vX_[5847] = 0 - vX_[5838];
+ vX_[5837] = vX_[5837] + vX_[5847] * vX_[351] + vX_[5840] * vX_[1341] + vX_[5846] * vX_[274];
+ vX_[5848] = 0 - vX_[5832];
+ vX_[5849] = 0 - vX_[5838];
+ vX_[5850] = vX_[5848] * vX_[300] + vX_[5842] * vX_[1376] + vX_[5844] * vX_[321] + vX_[5849] * vX_[376];
+ vX_[5851] = 0 - vX_[5838];
+ vX_[5852] = vX_[5834] * vX_[276] + vX_[5836] * vX_[303] + vX_[5851] * vX_[385];
+ vX_[5853] = 0 - (vX_[5840] * vX_[366] + vX_[5846] * vX_[1361] + vX_[5850] * vX_[273] + vX_[5852] * vX_[354]) +
+ vX_[5837] * vX_[637];
+ vX_[5854] = 0 - vX_[5853];
+ vX_[5855] = 0 - vX_[5838];
+ vX_[5856] = vX_[5842] * vX_[1374] + vX_[5844] * vX_[1378] + vX_[5855] * vX_[363];
+ vX_[5857] = 0 - vX_[5853];
+ vX_[5858] = 0 - (vX_[5856] * 0.207 + vX_[5840] * vX_[368] + vX_[5846] * vX_[1360] + vX_[5850] * vX_[354] +
+ vX_[5852] * vX_[367]) +
+ vX_[5837] * vX_[624] + vX_[5857] * vX_[668];
+ vX_[5859] = 0 - vX_[5858];
+ vX_[5860] = 0 - vX_[5853];
+ vX_[5861] = 0 - vX_[5858];
+ vX_[5856] = 0 - vX_[5856] + vX_[5837] * vX_[590] + vX_[5860] * vX_[666] + vX_[5861] * vX_[664];
+ vX_[5862] = 0 - vX_[5856];
+ vX_[5863] = 0 - vX_[5853];
+ vX_[5864] = 0 - vX_[5858];
+ vX_[5865] = 0 - vX_[5856];
+ vX_[5866] = 0 - (vX_[5840] * vX_[273] + vX_[5846] * vX_[354]) + vX_[5837] * vX_[723] + vX_[5863] * vX_[725] +
+ vX_[5864] * vX_[731] + vX_[5865] * vX_[737];
+ vX_[5867] = 0 - vX_[5866];
+ vX_[5868] = (0 - (vX_[5840] * vX_[354] + vX_[5846] * vX_[1359]) + vX_[5837] * vX_[620] + vX_[5854] * vX_[602] +
+ vX_[5859] * vX_[604] + vX_[5862] * vX_[722] + vX_[5867] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[5869] = 0 - vX_[5868];
+ vX_[5866] = (vX_[5866] + vX_[5869] * vX_[743]) * 1 / vX_[718];
+ vX_[5870] = 0 - vX_[5868];
+ vX_[5871] = 0 - vX_[5866];
+ vX_[5872] = 0 - vX_[5868];
+ vX_[5873] = 0 - vX_[5866];
+ vX_[5856] = (vX_[5856] + vX_[5872] * vX_[689] + vX_[5873] * vX_[736]) * 1 / vX_[721];
+ vX_[5874] = 0 - vX_[5856];
+ vX_[5858] = (vX_[5858] + vX_[5870] * vX_[682] + vX_[5871] * vX_[730] + vX_[5874] * vX_[509]) * 1 / vX_[618];
+ vX_[5875] = 0 - vX_[5868];
+ vX_[5876] = 0 - vX_[5866];
+ vX_[5877] = 0 - vX_[5856];
+ vX_[5878] = 0 - vX_[5858];
+ vX_[5853] =
+ (vX_[5853] + vX_[5875] * vX_[662] + vX_[5876] * vX_[633] + vX_[5877] * vX_[691] + vX_[5878] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[5879] = 0 - vX_[5868];
+ vX_[5880] = 0 - vX_[5866];
+ vX_[5881] = 0 - vX_[5856];
+ vX_[5882] = 0 - vX_[5858];
+ vX_[5883] = 0 - vX_[5853];
+ vX_[5884] = (0 - vX_[5837] + vX_[5879] * vX_[510] + vX_[5880] * vX_[518] + vX_[5881] * vX_[690] +
+ vX_[5882] * vX_[628] + vX_[5883] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5885] =
+ vX_[5868] * vX_[126] + vX_[5866] * vX_[1] + vX_[5858] * vX_[140] + vX_[5853] * vX_[138] + vX_[5884] * vX_[706];
+ vX_[5886] = vX_[5856] + vX_[5858] * 0.207;
+ vX_[5887] = vX_[5886] * 1 / vX_[123];
+ vX_[5888] = vX_[5885] * 1 / vX_[123];
+ vX_[5889] =
+ vX_[5868] * vX_[729] + vX_[5866] * vX_[126] + vX_[5858] * vX_[728] + vX_[5853] * vX_[727] + vX_[5884] * vX_[27];
+ vX_[5890] = vX_[5889] * 1 / vX_[123];
+ vX_[5891] = vX_[5884] * 1 / vX_[123];
+ vX_[5892] = vX_[5858] * vX_[126] + vX_[5853] * vX_[1];
+ vX_[5893] = vX_[5892] * 1 / vX_[123];
+ vX_[5894] = vX_[5858] * vX_[139] + vX_[5853] * vX_[126];
+ vX_[5895] = vX_[5894] * 1 / vX_[123];
+ vX_[5896] = vX_[5884] - (vX_[5887] * vX_[135] + vX_[5888] * vX_[97] + vX_[5890] * vX_[88] + vX_[5891] * vX_[123] +
+ vX_[5893] * vX_[148] + vX_[5895] * vX_[157]);
+ vX_[5897] = vX_[5885] + vX_[5896] * 0.08;
+ vX_[5898] = vX_[5896] * vX_[76] + vX_[5894] * vX_[4];
+ vX_[5899] = vX_[5897] + vX_[5898] * -0.35;
+ vX_[5900] = 0 - vX_[5899];
+ vX_[5901] = vX_[5886] * vX_[750] + vX_[5889] * vX_[751] + vX_[5892] * vX_[752];
+ vX_[5902] = vX_[5886] * vX_[754] + vX_[5889] * vX_[75] + vX_[5892] * vX_[93];
+ vX_[5903] = vX_[5901] * 1 / vX_[72];
+ vX_[5904] = vX_[5902] * 1 / vX_[72];
+ vX_[5905] = vX_[5892] * 1 / vX_[72];
+ vX_[5906] = vX_[5898] * 1 / vX_[72];
+ vX_[5907] = vX_[5896] * vX_[4] + vX_[5894] * vX_[75];
+ vX_[5908] = vX_[5907] * 1 / vX_[72];
+ vX_[5909] = vX_[5892] - (vX_[5903] * vX_[83] + vX_[5904] * vX_[70] + vX_[5905] * vX_[72] + vX_[5906] * vX_[79] +
+ vX_[5908] * vX_[60]);
+ vX_[5910] = vX_[5901] * vX_[7] + vX_[5902] * vX_[756] + vX_[5909] * vX_[764];
+ vX_[5911] = 0 - vX_[5910];
+ vX_[5912] = vX_[5901] * vX_[51] + vX_[5902] * vX_[7] + vX_[5909] * vX_[54];
+ vX_[5913] = 0 - vX_[5912];
+ vX_[5914] = vX_[5909] - (vX_[5910] * 38.1956380581338 * 0.1104774 + vX_[5912] * 38.1956380581338 * 0.0004405 +
+ vX_[5909] * 38.1956380581338 * 0.026181);
+ vX_[5915] = 0 - vX_[5914];
+ vX_[5916] = vX_[5898] * vX_[7] + vX_[5907] * vX_[52];
+ vX_[5917] = 0 - vX_[5916];
+ vX_[5918] = vX_[5898] * vX_[51] + vX_[5907] * vX_[7];
+ vX_[5919] = 0 - vX_[5918];
+ vX_[5920] = 0 - vX_[5914];
+ vX_[5921] = 0 - vX_[5916];
+ vX_[5922] = 0 - vX_[5918];
+ vX_[5923] = vX_[5920] * vX_[126] + vX_[5921] * vX_[803] + vX_[5922] * vX_[806];
+ vX_[5924] = 0 - vX_[5916];
+ vX_[5925] = 0 - vX_[5918];
+ vX_[5926] = vX_[5924] * vX_[812] + vX_[5925] * vX_[816];
+ vX_[5927] = 0 - vX_[5926];
+ vX_[5928] = vX_[5900] * vX_[1] + vX_[5911] * vX_[771] + vX_[5913] * vX_[776] + vX_[5915] * vX_[780] +
+ vX_[5917] * vX_[789] + vX_[5919] * vX_[797] + vX_[5923] * vX_[810] + vX_[5927] * vX_[824];
+ vX_[5929] = vX_[5928] * vX_[951];
+ vX_[5930] = 0 - vX_[5910];
+ vX_[5931] = 0 - vX_[5912];
+ vX_[5932] = 0 - vX_[5914];
+ vX_[5933] = 0 - vX_[5916];
+ vX_[5934] = 0 - vX_[5918];
+ vX_[5935] = 0 - vX_[5923];
+ vX_[5936] = 0 - vX_[5914];
+ vX_[5937] = 0 - vX_[5916];
+ vX_[5938] = 0 - vX_[5918];
+ vX_[5939] = vX_[5936] * vX_[1] + vX_[5937] * vX_[770] + vX_[5938] * vX_[775];
+ vX_[5940] = vX_[5930] * vX_[812] + vX_[5931] * vX_[815] + vX_[5932] * vX_[957] + vX_[5933] * vX_[963] +
+ vX_[5934] * vX_[968] + vX_[5935] * vX_[975] + vX_[5939] * vX_[824];
+ vX_[5941] = vX_[5940] * vX_[988];
+ vX_[5942] = 0 - vX_[5929] - vX_[5941];
+ vX_[5943] = vX_[5928] * vX_[984];
+ vX_[5944] = 0 - vX_[5899];
+ vX_[5945] = 0 - vX_[5910];
+ vX_[5946] = 0 - vX_[5912];
+ vX_[5947] = 0 - vX_[5914];
+ vX_[5948] = 0 - vX_[5916];
+ vX_[5949] = 0 - vX_[5918];
+ vX_[5950] = 0 - vX_[5939];
+ vX_[5951] = vX_[5944] * vX_[126] + vX_[5945] * vX_[801] + vX_[5946] * vX_[805] + vX_[5947] * vX_[1010] +
+ vX_[5948] * vX_[1018] + vX_[5949] * vX_[1026] + vX_[5950] * vX_[810] + vX_[5926] * vX_[975];
+ vX_[5952] = vX_[5951] * vX_[951];
+ vX_[5953] = vX_[5943] + vX_[5952];
+ vX_[5954] = vX_[5940] * vX_[984];
+ vX_[5955] = vX_[5951] * vX_[988];
+ vX_[5956] = vX_[5954] + vX_[5955];
+ vX_[5957] = vX_[5940] * vX_[951];
+ vX_[5958] = vX_[5928] * vX_[988];
+ vX_[5959] = vX_[5957] - vX_[5958];
+ vX_[5942] = vX_[5942] * vX_[1003] +
+ (vX_[5942] * vX_[1002] + vX_[5953] * vX_[1033] + vX_[5956] * vX_[1037] + vX_[5959] * vX_[1041]) * 2.;
+ vX_[5955] = 0 - vX_[5954] + vX_[5955];
+ vX_[5952] = vX_[5943] - vX_[5952];
+ vX_[5959] = vX_[5959] * vX_[1003] + vX_[5955] * vX_[1034] + vX_[5952] * vX_[892];
+ vX_[5943] = 0 - vX_[5959];
+ vX_[5954] = vX_[5942] * vX_[1001] + vX_[5943] * vX_[997];
+ vX_[5960] = vX_[5951] * vX_[984];
+ vX_[5941] = 0 - vX_[5960] - vX_[5941];
+ vX_[5958] = vX_[5957] + vX_[5958];
+ vX_[5941] = vX_[5953] * vX_[1003] + vX_[5941] * vX_[1034] +
+ (vX_[5941] * vX_[1033] + vX_[5958] * vX_[1037] + vX_[5955] * vX_[1041]) * 2.;
+ vX_[5955] = 0 - vX_[5941];
+ vX_[5960] = 0 - vX_[5960] - vX_[5929];
+ vX_[5960] = vX_[5956] * vX_[1003] + vX_[5958] * vX_[1034] + vX_[5960] * vX_[892] +
+ (vX_[5960] * vX_[1037] + vX_[5952] * vX_[1041]) * 2.;
+ vX_[5958] = vX_[5955] * vX_[997] + vX_[5960] * vX_[1001];
+ vX_[5952] = vX_[5941] * vX_[1001] + vX_[5960] * vX_[997];
+ vX_[5956] = vX_[5942] * vX_[997] + vX_[5959] * vX_[1001];
+ vX_[5929] = vX_[5868] * vX_[235] + vX_[5866] * vX_[1030] + vX_[5858] * vX_[250] + vX_[5853] * vX_[248] +
+ vX_[5884] * vX_[1038];
+ vX_[5953] = vX_[5884] * -1;
+ vX_[5957] = vX_[5856] * -1 + vX_[5858] * 0.207;
+ vX_[5961] = vX_[5957] * 1 / vX_[232];
+ vX_[5962] = vX_[5929] * 1 / vX_[232];
+ vX_[5963] = vX_[5868] * vX_[1050] + vX_[5866] * vX_[1051] + vX_[5858] * vX_[1052] + vX_[5853] * vX_[1053] +
+ vX_[5884] * vX_[164];
+ vX_[5964] = vX_[5963] * 1 / vX_[232];
+ vX_[5965] = vX_[5953] * 1 / vX_[232];
+ vX_[5966] = vX_[5858] * vX_[235] + vX_[5853] * vX_[249];
+ vX_[5967] = vX_[5966] * 1 / vX_[232];
+ vX_[5968] = vX_[5858] * vX_[249] + vX_[5853] * vX_[247];
+ vX_[5969] = vX_[5968] * 1 / vX_[232];
+ vX_[5953] = vX_[5953] - (vX_[5961] * vX_[244] + vX_[5962] * vX_[206] + vX_[5964] * vX_[196] + vX_[5965] * vX_[232] +
+ vX_[5967] * vX_[258] + vX_[5969] * vX_[267]);
+ vX_[5970] = vX_[5929] * -1 + vX_[5953] * -0.08;
+ vX_[5971] = vX_[5953] * vX_[186] + vX_[5968] * vX_[195];
+ vX_[5972] = vX_[5970] + vX_[5971] * -0.35;
+ vX_[5973] = 0 - vX_[5972];
+ vX_[5974] = vX_[5957] * vX_[186] + vX_[5963] * vX_[1065] + vX_[5966] * vX_[1066];
+ vX_[5975] = vX_[5957] * vX_[166] + vX_[5963] * vX_[186] + vX_[5966] * vX_[201];
+ vX_[5976] = vX_[5966] * -1;
+ vX_[5977] = vX_[5974] * 1 / vX_[183];
+ vX_[5978] = vX_[5975] * 1 / vX_[183];
+ vX_[5979] = vX_[5976] * 1 / vX_[183];
+ vX_[5980] = vX_[5971] * 1 / vX_[183];
+ vX_[5981] = vX_[5953] * vX_[166] + vX_[5968] * vX_[186];
+ vX_[5982] = vX_[5981] * 1 / vX_[183];
+ vX_[5976] = vX_[5976] - (vX_[5977] * vX_[190] + vX_[5978] * vX_[181] + vX_[5979] * vX_[183] + vX_[5980] * 2.1e-05 +
+ vX_[5982] * -0.000102);
+ vX_[5983] = vX_[5974] * vX_[169] + vX_[5975] * vX_[1069] + vX_[5976] * vX_[1077];
+ vX_[5984] = 0 - vX_[5983];
+ vX_[5985] = vX_[5974] * vX_[167] + vX_[5975] * vX_[169] + vX_[5976] * vX_[168];
+ vX_[5986] = 0 - vX_[5985];
+ vX_[5987] = vX_[5976] - (vX_[5983] * 38.1956380581338 * 0.110125 + vX_[5985] * 38.1956380581338 * 0.000881 +
+ vX_[5976] * 38.1956380581338 * 0.026181);
+ vX_[5988] = 0 - vX_[5987];
+ vX_[5989] = vX_[5971] * vX_[169] + vX_[5981] * vX_[175];
+ vX_[5990] = 0 - vX_[5989];
+ vX_[5991] = vX_[5971] * vX_[167] + vX_[5981] * vX_[169];
+ vX_[5992] = 0 - vX_[5991];
+ vX_[5993] = 0 - vX_[5987];
+ vX_[5994] = 0 - vX_[5989];
+ vX_[5995] = 0 - vX_[5991];
+ vX_[5996] = vX_[5993] * vX_[1111] + vX_[5994] * vX_[1116] + vX_[5995] * vX_[1120];
+ vX_[5997] = 0 - vX_[5989];
+ vX_[5998] = 0 - vX_[5991];
+ vX_[5999] = vX_[5997] * vX_[1126] + vX_[5998] * vX_[1130];
+ vX_[6000] = 0 - vX_[5999];
+ vX_[6001] = vX_[5973] * vX_[163] + vX_[5984] * vX_[1083] + vX_[5986] * vX_[1088] + vX_[5988] * vX_[1092] +
+ vX_[5990] * vX_[1101] + vX_[5992] * vX_[1109] + vX_[5996] * vX_[1124] + vX_[6000] * vX_[1138];
+ vX_[6002] = vX_[6001] * vX_[1262];
+ vX_[6003] = 0 - vX_[5983];
+ vX_[6004] = 0 - vX_[5985];
+ vX_[6005] = 0 - vX_[5987];
+ vX_[6006] = 0 - vX_[5989];
+ vX_[6007] = 0 - vX_[5991];
+ vX_[6008] = 0 - vX_[5996];
+ vX_[6009] = 0 - vX_[5987];
+ vX_[6010] = 0 - vX_[5989];
+ vX_[6011] = 0 - vX_[5991];
+ vX_[6012] = vX_[6009] * vX_[163] + vX_[6010] * vX_[1082] + vX_[6011] * vX_[1086];
+ vX_[6013] = vX_[6003] * vX_[1126] + vX_[6004] * vX_[1129] + vX_[6005] * vX_[1268] + vX_[6006] * vX_[1274] +
+ vX_[6007] * vX_[1279] + vX_[6008] * vX_[1219] + vX_[6012] * vX_[1138];
+ vX_[6014] = vX_[6013] * vX_[1297];
+ vX_[6015] = 0 - vX_[6002] - vX_[6014];
+ vX_[6016] = vX_[6001] * vX_[1293];
+ vX_[6017] = 0 - vX_[5972];
+ vX_[6018] = 0 - vX_[5983];
+ vX_[6019] = 0 - vX_[5985];
+ vX_[6020] = 0 - vX_[5987];
+ vX_[6021] = 0 - vX_[5989];
+ vX_[6022] = 0 - vX_[5991];
+ vX_[6023] = 0 - vX_[6012];
+ vX_[6024] = vX_[6017] * vX_[1314] + vX_[6018] * vX_[1114] + vX_[6019] * vX_[1119] + vX_[6020] * vX_[1321] +
+ vX_[6021] * vX_[1329] + vX_[6022] * vX_[1337] + vX_[6023] * vX_[1124] + vX_[5999] * vX_[1219];
+ vX_[6025] = vX_[6024] * vX_[1262];
+ vX_[6026] = vX_[6016] + vX_[6025];
+ vX_[6027] = vX_[6013] * vX_[1293];
+ vX_[6028] = vX_[6024] * vX_[1297];
+ vX_[6029] = vX_[6027] + vX_[6028];
+ vX_[6030] = vX_[6013] * vX_[1262];
+ vX_[6031] = vX_[6001] * vX_[1297];
+ vX_[6032] = vX_[6030] - vX_[6031];
+ vX_[6015] = vX_[6015] * vX_[1312] +
+ (vX_[6015] * vX_[1311] + vX_[6026] * vX_[1344] + vX_[6029] * vX_[1348] + vX_[6032] * vX_[1352]) * 2.;
+ vX_[6028] = 0 - vX_[6027] + vX_[6028];
+ vX_[6025] = vX_[6016] - vX_[6025];
+ vX_[6032] = vX_[6032] * vX_[1312] + vX_[6028] * vX_[1345] + vX_[6025] * vX_[1208];
+ vX_[6016] = 0 - vX_[6032];
+ vX_[6027] = vX_[6015] * vX_[1310] + vX_[6016] * vX_[1306];
+ vX_[6033] = vX_[6024] * vX_[1293];
+ vX_[6014] = 0 - vX_[6033] - vX_[6014];
+ vX_[6031] = vX_[6030] + vX_[6031];
+ vX_[6014] = vX_[6026] * vX_[1312] + vX_[6014] * vX_[1345] +
+ (vX_[6014] * vX_[1344] + vX_[6031] * vX_[1348] + vX_[6028] * vX_[1352]) * 2.;
+ vX_[6028] = 0 - vX_[6014];
+ vX_[6033] = 0 - vX_[6033] - vX_[6002];
+ vX_[6033] = vX_[6029] * vX_[1312] + vX_[6031] * vX_[1345] + vX_[6033] * vX_[1208] +
+ (vX_[6033] * vX_[1348] + vX_[6025] * vX_[1352]) * 2.;
+ vX_[6031] = vX_[6028] * vX_[1306] + vX_[6033] * vX_[1310];
+ vX_[6025] = vX_[6014] * vX_[1310] + vX_[6033] * vX_[1306];
+ vX_[6029] = vX_[6015] * vX_[1306] + vX_[6032] * vX_[1310];
+ vX_[6002] = vX_[5868] * vX_[354] + vX_[5866] * vX_[273] + vX_[5858] * vX_[368] + vX_[5853] * vX_[366] +
+ vX_[5884] * vX_[1341];
+ vX_[6026] = vX_[5856] + vX_[5858] * 0.207;
+ vX_[6030] = vX_[6026] * 1 / vX_[351];
+ vX_[6034] = vX_[6002] * 1 / vX_[351];
+ vX_[6035] = vX_[5868] * vX_[1359] + vX_[5866] * vX_[354] + vX_[5858] * vX_[1360] + vX_[5853] * vX_[1361] +
+ vX_[5884] * vX_[274];
+ vX_[6036] = vX_[6035] * 1 / vX_[351];
+ vX_[6037] = vX_[5884] * 1 / vX_[351];
+ vX_[6038] = vX_[5858] * vX_[354] + vX_[5853] * vX_[273];
+ vX_[6039] = vX_[6038] * 1 / vX_[351];
+ vX_[6040] = vX_[5858] * vX_[367] + vX_[5853] * vX_[354];
+ vX_[6041] = vX_[6040] * 1 / vX_[351];
+ vX_[6042] = vX_[5884] - (vX_[5838] + vX_[6030] * vX_[363] + vX_[6034] * vX_[325] + vX_[6036] * vX_[316] +
+ vX_[6037] * vX_[351] + vX_[6039] * vX_[376] + vX_[6041] * vX_[385]);
+ vX_[6043] = vX_[6002] + vX_[6042] * 0.08;
+ vX_[6044] = vX_[6042] * vX_[304] + vX_[6040] * vX_[276];
+ vX_[6045] = vX_[6043] + vX_[6044] * -0.35;
+ vX_[6046] = 0 - vX_[6045];
+ vX_[6047] = vX_[6026] * vX_[1374] + vX_[6035] * vX_[1375] + vX_[6038] * vX_[1376];
+ vX_[6048] = vX_[6026] * vX_[1378] + vX_[6035] * vX_[303] + vX_[6038] * vX_[321];
+ vX_[6049] = vX_[6047] * 1 / vX_[300];
+ vX_[6050] = vX_[6048] * 1 / vX_[300];
+ vX_[6051] = vX_[6038] * 1 / vX_[300];
+ vX_[6052] = vX_[6044] * 1 / vX_[300];
+ vX_[6053] = vX_[6042] * vX_[276] + vX_[6040] * vX_[303];
+ vX_[6054] = vX_[6053] * 1 / vX_[300];
+ vX_[6055] = vX_[6038] - (vX_[5832] + vX_[6049] * vX_[311] + vX_[6050] * vX_[298] + vX_[6051] * vX_[300] +
+ vX_[6052] * vX_[307] + vX_[6054] * vX_[288]);
+ vX_[6056] = vX_[6047] * vX_[277] + vX_[6048] * vX_[1380] + vX_[6055] * vX_[1388];
+ vX_[6057] = 0 - vX_[6056];
+ vX_[6058] = vX_[6047] * vX_[279] + vX_[6048] * vX_[277] + vX_[6055] * vX_[282];
+ vX_[6059] = 0 - vX_[6058];
+ vX_[6060] = vX_[6055] - (vX_[6056] * 38.1956380581338 * 0.1104774 + vX_[6058] * 38.1956380581338 * -0.0004405 +
+ vX_[6055] * 38.1956380581338 * 0.026181);
+ vX_[6061] = 0 - vX_[6060];
+ vX_[6062] = vX_[6044] * vX_[277] + vX_[6053] * vX_[280];
+ vX_[6063] = 0 - vX_[6062];
+ vX_[6064] = vX_[6044] * vX_[279] + vX_[6053] * vX_[277];
+ vX_[6065] = 0 - vX_[6064];
+ vX_[6066] = 0 - vX_[6060];
+ vX_[6067] = 0 - vX_[6062];
+ vX_[6068] = 0 - vX_[6064];
+ vX_[6069] = vX_[6066] * vX_[354] + vX_[6067] * vX_[1428] + vX_[6068] * vX_[1431];
+ vX_[6070] = 0 - vX_[6062];
+ vX_[6071] = 0 - vX_[6064];
+ vX_[6072] = vX_[6070] * vX_[1437] + vX_[6071] * vX_[1441];
+ vX_[6073] = 0 - vX_[6072];
+ vX_[6074] = vX_[6046] * vX_[273] + vX_[6057] * vX_[1395] + vX_[6059] * vX_[1400] + vX_[6061] * vX_[1404] +
+ vX_[6063] * vX_[1413] + vX_[6065] * vX_[1422] + vX_[6069] * vX_[1435] + vX_[6073] * vX_[1449];
+ vX_[6075] = vX_[6074] * vX_[1574];
+ vX_[6076] = 0 - vX_[6056];
+ vX_[6077] = 0 - vX_[6058];
+ vX_[6078] = 0 - vX_[6060];
+ vX_[6079] = 0 - vX_[6062];
+ vX_[6080] = 0 - vX_[6064];
+ vX_[6081] = 0 - vX_[6069];
+ vX_[6082] = 0 - vX_[6060];
+ vX_[6083] = 0 - vX_[6062];
+ vX_[6084] = 0 - vX_[6064];
+ vX_[6085] = vX_[6082] * vX_[273] + vX_[6083] * vX_[1394] + vX_[6084] * vX_[1399];
+ vX_[6086] = vX_[6076] * vX_[1437] + vX_[6077] * vX_[1440] + vX_[6078] * vX_[1580] + vX_[6079] * vX_[1586] +
+ vX_[6080] * vX_[1591] + vX_[6081] * vX_[1596] + vX_[6085] * vX_[1449];
+ vX_[6087] = vX_[6086] * vX_[1609];
+ vX_[6088] = 0 - vX_[6075] - vX_[6087];
+ vX_[6089] = vX_[6074] * vX_[1605];
+ vX_[6090] = 0 - vX_[6045];
+ vX_[6091] = 0 - vX_[6056];
+ vX_[6092] = 0 - vX_[6058];
+ vX_[6093] = 0 - vX_[6060];
+ vX_[6094] = 0 - vX_[6062];
+ vX_[6095] = 0 - vX_[6064];
+ vX_[6096] = 0 - vX_[6085];
+ vX_[6097] = vX_[6090] * vX_[354] + vX_[6091] * vX_[1426] + vX_[6092] * vX_[1430] + vX_[6093] * vX_[1631] +
+ vX_[6094] * vX_[1639] + vX_[6095] * vX_[1647] + vX_[6096] * vX_[1435] + vX_[6072] * vX_[1596];
+ vX_[6098] = vX_[6097] * vX_[1574];
+ vX_[6099] = vX_[6089] + vX_[6098];
+ vX_[6100] = vX_[6086] * vX_[1605];
+ vX_[6101] = vX_[6097] * vX_[1609];
+ vX_[6102] = vX_[6100] + vX_[6101];
+ vX_[6103] = vX_[6086] * vX_[1574];
+ vX_[6104] = vX_[6074] * vX_[1609];
+ vX_[6105] = vX_[6103] - vX_[6104];
+ vX_[6088] = vX_[6088] * vX_[1624] +
+ (vX_[6088] * vX_[1623] + vX_[6099] * vX_[1654] + vX_[6102] * vX_[1658] + vX_[6105] * vX_[1662]) * 2.;
+ vX_[6101] = 0 - vX_[6100] + vX_[6101];
+ vX_[6098] = vX_[6089] - vX_[6098];
+ vX_[6105] = vX_[6105] * vX_[1624] + vX_[6101] * vX_[1655] + vX_[6098] * vX_[1519];
+ vX_[6089] = 0 - vX_[6105];
+ vX_[6100] = vX_[6088] * vX_[1622] + vX_[6089] * vX_[1618];
+ vX_[6106] = vX_[6097] * vX_[1605];
+ vX_[6087] = 0 - vX_[6106] - vX_[6087];
+ vX_[6104] = vX_[6103] + vX_[6104];
+ vX_[6087] = vX_[6099] * vX_[1624] + vX_[6087] * vX_[1655] +
+ (vX_[6087] * vX_[1654] + vX_[6104] * vX_[1658] + vX_[6101] * vX_[1662]) * 2.;
+ vX_[6101] = 0 - vX_[6087];
+ vX_[6106] = 0 - vX_[6106] - vX_[6075];
+ vX_[6106] = vX_[6102] * vX_[1624] + vX_[6104] * vX_[1655] + vX_[6106] * vX_[1519] +
+ (vX_[6106] * vX_[1658] + vX_[6098] * vX_[1662]) * 2.;
+ vX_[6104] = vX_[6101] * vX_[1618] + vX_[6106] * vX_[1622];
+ vX_[6098] = vX_[6087] * vX_[1622] + vX_[6106] * vX_[1618];
+ vX_[6102] = vX_[6088] * vX_[1618] + vX_[6105] * vX_[1622];
+ vX_[6075] = vX_[5868] * vX_[473] + vX_[5866] * vX_[1651] + vX_[5858] * vX_[488] + vX_[5853] * vX_[486] +
+ vX_[5884] * vX_[1659];
+ vX_[6099] = vX_[5884] * -1;
+ vX_[6103] = vX_[5856] * -1 + vX_[5858] * 0.207;
+ vX_[6107] = vX_[6103] * 1 / vX_[470];
+ vX_[6108] = vX_[6075] * 1 / vX_[470];
+ vX_[6109] = vX_[5868] * vX_[1671] + vX_[5866] * vX_[1672] + vX_[5858] * vX_[1673] + vX_[5853] * vX_[1674] +
+ vX_[5884] * vX_[392];
+ vX_[6110] = vX_[6109] * 1 / vX_[470];
+ vX_[6111] = vX_[6099] * 1 / vX_[470];
+ vX_[6112] = vX_[5858] * vX_[473] + vX_[5853] * vX_[487];
+ vX_[6113] = vX_[6112] * 1 / vX_[470];
+ vX_[6114] = vX_[5858] * vX_[487] + vX_[5853] * vX_[485];
+ vX_[6115] = vX_[6114] * 1 / vX_[470];
+ vX_[6099] = vX_[6099] - (vX_[6107] * vX_[482] + vX_[6108] * vX_[444] + vX_[6110] * vX_[434] + vX_[6111] * vX_[470] +
+ vX_[6113] * vX_[496] + vX_[6115] * vX_[505]);
+ vX_[6116] = vX_[6075] * -1 + vX_[6099] * -0.08;
+ vX_[6117] = vX_[6099] * vX_[421] + vX_[6114] * vX_[433];
+ vX_[6118] = vX_[6116] + vX_[6117] * -0.35;
+ vX_[6119] = 0 - vX_[6118];
+ vX_[6120] = vX_[6103] * vX_[421] + vX_[6109] * vX_[1686] + vX_[6112] * vX_[1687];
+ vX_[6121] = vX_[6103] * vX_[394] + vX_[6109] * vX_[421] + vX_[6112] * vX_[439];
+ vX_[6122] = vX_[6112] * -1;
+ vX_[6123] = vX_[6120] * 1 / vX_[418];
+ vX_[6124] = vX_[6121] * 1 / vX_[418];
+ vX_[6125] = vX_[6122] * 1 / vX_[418];
+ vX_[6126] = vX_[6117] * 1 / vX_[418];
+ vX_[6127] = vX_[6099] * vX_[394] + vX_[6114] * vX_[421];
+ vX_[6128] = vX_[6127] * 1 / vX_[418];
+ vX_[6122] = vX_[6122] - (vX_[6123] * vX_[428] + vX_[6124] * vX_[416] + vX_[6125] * vX_[418] + vX_[6126] * vX_[424] +
+ vX_[6128] * vX_[406]);
+ vX_[6129] = vX_[6120] * vX_[395] + vX_[6121] * vX_[1690] + vX_[6122] * vX_[1698];
+ vX_[6130] = 0 - vX_[6129];
+ vX_[6131] = vX_[6120] * vX_[397] + vX_[6121] * vX_[395] + vX_[6122] * vX_[400];
+ vX_[6132] = 0 - vX_[6131];
+ vX_[6133] = vX_[6122] - (vX_[6129] * 38.1956380581338 * 0.1104774 + vX_[6131] * 38.1956380581338 * -0.0004405 +
+ vX_[6122] * 38.1956380581338 * 0.026181);
+ vX_[6134] = 0 - vX_[6133];
+ vX_[6135] = vX_[6117] * vX_[395] + vX_[6127] * vX_[398];
+ vX_[6136] = 0 - vX_[6135];
+ vX_[6137] = vX_[6117] * vX_[397] + vX_[6127] * vX_[395];
+ vX_[6138] = 0 - vX_[6137];
+ vX_[6139] = 0 - vX_[6133];
+ vX_[6140] = 0 - vX_[6135];
+ vX_[6141] = 0 - vX_[6137];
+ vX_[6142] = vX_[6139] * vX_[1734] + vX_[6140] * vX_[1739] + vX_[6141] * vX_[1743];
+ vX_[6143] = 0 - vX_[6135];
+ vX_[6144] = 0 - vX_[6137];
+ vX_[6145] = vX_[6143] * vX_[1749] + vX_[6144] * vX_[1753];
+ vX_[6146] = 0 - vX_[6145];
+ vX_[6147] = vX_[6119] * vX_[391] + vX_[6130] * vX_[1705] + vX_[6132] * vX_[1710] + vX_[6134] * vX_[1714] +
+ vX_[6136] * vX_[1723] + vX_[6138] * vX_[1732] + vX_[6142] * vX_[1747] + vX_[6146] * vX_[1761];
+ vX_[6148] = vX_[6147] * vX_[1887];
+ vX_[6149] = 0 - vX_[6129];
+ vX_[6150] = 0 - vX_[6131];
+ vX_[6151] = 0 - vX_[6133];
+ vX_[6152] = 0 - vX_[6135];
+ vX_[6153] = 0 - vX_[6137];
+ vX_[6154] = 0 - vX_[6142];
+ vX_[6155] = 0 - vX_[6133];
+ vX_[6156] = 0 - vX_[6135];
+ vX_[6157] = 0 - vX_[6137];
+ vX_[6158] = vX_[6155] * vX_[391] + vX_[6156] * vX_[1704] + vX_[6157] * vX_[1708];
+ vX_[6159] = vX_[6149] * vX_[1749] + vX_[6150] * vX_[1752] + vX_[6151] * vX_[1893] + vX_[6152] * vX_[1899] +
+ vX_[6153] * vX_[1904] + vX_[6154] * vX_[1911] + vX_[6158] * vX_[1761];
+ vX_[6160] = vX_[6159] * vX_[1923];
+ vX_[6161] = 0 - vX_[6148] - vX_[6160];
+ vX_[6162] = vX_[6147] * vX_[1919];
+ vX_[6163] = 0 - vX_[6118];
+ vX_[6164] = 0 - vX_[6129];
+ vX_[6165] = 0 - vX_[6131];
+ vX_[6166] = 0 - vX_[6133];
+ vX_[6167] = 0 - vX_[6135];
+ vX_[6168] = 0 - vX_[6137];
+ vX_[6169] = 0 - vX_[6158];
+ vX_[6170] = vX_[6163] * vX_[1940] + vX_[6164] * vX_[1737] + vX_[6165] * vX_[1742] + vX_[6166] * vX_[1947] +
+ vX_[6167] * vX_[1955] + vX_[6168] * vX_[1963] + vX_[6169] * vX_[1747] + vX_[6145] * vX_[1911];
+ vX_[6171] = vX_[6170] * vX_[1887];
+ vX_[6172] = vX_[6162] + vX_[6171];
+ vX_[6173] = vX_[6159] * vX_[1919];
+ vX_[6174] = vX_[6170] * vX_[1923];
+ vX_[6175] = vX_[6173] + vX_[6174];
+ vX_[6176] = vX_[6159] * vX_[1887];
+ vX_[6177] = vX_[6147] * vX_[1923];
+ vX_[6178] = vX_[6176] - vX_[6177];
+ vX_[6161] = vX_[6161] * vX_[1938] +
+ (vX_[6161] * vX_[1937] + vX_[6172] * vX_[1970] + vX_[6175] * vX_[1974] + vX_[6178] * vX_[1978]) * 2.;
+ vX_[6174] = 0 - vX_[6173] + vX_[6174];
+ vX_[6171] = vX_[6162] - vX_[6171];
+ vX_[6178] = vX_[6178] * vX_[1938] + vX_[6174] * vX_[1971] + vX_[6171] * vX_[1829];
+ vX_[6162] = 0 - vX_[6178];
+ vX_[6173] = vX_[6161] * vX_[1936] + vX_[6162] * vX_[1932];
+ vX_[6179] = vX_[6170] * vX_[1919];
+ vX_[6160] = 0 - vX_[6179] - vX_[6160];
+ vX_[6177] = vX_[6176] + vX_[6177];
+ vX_[6160] = vX_[6172] * vX_[1938] + vX_[6160] * vX_[1971] +
+ (vX_[6160] * vX_[1970] + vX_[6177] * vX_[1974] + vX_[6174] * vX_[1978]) * 2.;
+ vX_[6174] = 0 - vX_[6160];
+ vX_[6179] = 0 - vX_[6179] - vX_[6148];
+ vX_[6179] = vX_[6175] * vX_[1938] + vX_[6177] * vX_[1971] + vX_[6179] * vX_[1829] +
+ (vX_[6179] * vX_[1974] + vX_[6171] * vX_[1978]) * 2.;
+ vX_[6177] = vX_[6174] * vX_[1932] + vX_[6179] * vX_[1936];
+ vX_[6171] = vX_[6160] * vX_[1936] + vX_[6179] * vX_[1932];
+ vX_[6175] = vX_[6161] * vX_[1932] + vX_[6178] * vX_[1936];
+ vX_[6148] = vX_[5951] * vX_[1982] + vX_[5928] * vX_[1985] + vX_[5940] * vX_[1988];
+ vX_[6172] = vX_[6148] * vX_[950] * -1000.;
+ vX_[6176] = vX_[6172] * vX_[872];
+ vX_[6180] = vX_[5951] * vX_[1994] + vX_[5928] * vX_[1987] + vX_[5940] * vX_[1983];
+ vX_[6181] = vX_[6180] * vX_[950] * -1000.;
+ vX_[6182] = vX_[6181] * vX_[891];
+ vX_[6183] = 0 - vX_[6176] - vX_[6182];
+ vX_[5951] = vX_[5951] * vX_[1986] + vX_[5928] * vX_[1975] + vX_[5940] * vX_[1993];
+ vX_[5940] = vX_[5951] * vX_[950] * -1000.;
+ vX_[5928] = vX_[5940] * vX_[872];
+ vX_[6184] = vX_[6172] * vX_[909];
+ vX_[6185] = vX_[5928] + vX_[6184];
+ vX_[6186] = vX_[5940] * vX_[891];
+ vX_[6187] = vX_[6181] * vX_[909];
+ vX_[6188] = vX_[6186] + vX_[6187];
+ vX_[6189] = vX_[6172] * vX_[891];
+ vX_[6190] = vX_[6181] * vX_[872];
+ vX_[6191] = vX_[6189] - vX_[6190];
+ vX_[6183] = vX_[6183] * vX_[838] +
+ (vX_[6183] * vX_[837] + vX_[6185] * vX_[873] + vX_[6188] * vX_[842] + vX_[6191] * vX_[876]) * 2.;
+ vX_[6187] = 0 - vX_[6186] + vX_[6187];
+ vX_[6184] = vX_[5928] - vX_[6184];
+ vX_[6191] = vX_[6191] * vX_[838] + vX_[6187] * vX_[874] + vX_[6184] * vX_[843];
+ vX_[5928] = 0 - vX_[6191];
+ vX_[6186] = vX_[6183] * vX_[836] + vX_[5928] * vX_[832];
+ vX_[6192] = vX_[5940] * vX_[909];
+ vX_[6182] = 0 - vX_[6192] - vX_[6182];
+ vX_[6190] = vX_[6189] + vX_[6190];
+ vX_[6182] = vX_[6185] * vX_[838] + vX_[6182] * vX_[874] +
+ (vX_[6182] * vX_[873] + vX_[6190] * vX_[842] + vX_[6187] * vX_[876]) * 2.;
+ vX_[6187] = 0 - vX_[6182];
+ vX_[6192] = 0 - vX_[6192] - vX_[6176];
+ vX_[6192] = vX_[6188] * vX_[838] + vX_[6190] * vX_[874] + vX_[6192] * vX_[843] +
+ (vX_[6192] * vX_[842] + vX_[6184] * vX_[876]) * 2.;
+ vX_[6190] = vX_[6187] * vX_[832] + vX_[6192] * vX_[836];
+ vX_[6184] = vX_[6182] * vX_[836] + vX_[6192] * vX_[832];
+ vX_[6188] = vX_[6183] * vX_[832] + vX_[6191] * vX_[836];
+ vX_[5951] = vX_[5951] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[5951] * vX_[844] + vX_[6148] * vX_[910] + vX_[6180] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[6180] = vX_[5951] * vX_[935];
+ vX_[6148] = vX_[5951] * vX_[939];
+ vX_[6176] = (vX_[6180] * vX_[925] + vX_[6148] * vX_[926]) * 2.;
+ vX_[6185] = 0 - vX_[6148];
+ vX_[6189] = vX_[6185] * vX_[936] + vX_[6180] * vX_[927];
+ vX_[6193] = 0 - vX_[6189];
+ vX_[6194] = vX_[6176] * vX_[921] + vX_[6193] * vX_[917];
+ vX_[6195] = vX_[5951] * vX_[946];
+ vX_[6196] = 0 - vX_[6195];
+ vX_[6196] = vX_[6180] * vX_[922] + vX_[6196] * vX_[936] + (vX_[6196] * vX_[925] + vX_[6185] * vX_[928]) * 2.;
+ vX_[6185] = 0 - vX_[6196];
+ vX_[6195] = 0 - vX_[6195];
+ vX_[6195] = vX_[6148] * vX_[922] + vX_[6195] * vX_[927] + (vX_[6195] * vX_[926] + vX_[6180] * vX_[928]) * 2.;
+ vX_[6148] = vX_[6185] * vX_[917] + vX_[6195] * vX_[921];
+ vX_[6180] = vX_[6196] * vX_[921] + vX_[6195] * vX_[917];
+ vX_[6197] = vX_[6176] * vX_[917] + vX_[6189] * vX_[921];
+ vX_[6198] = vX_[6024] * vX_[2014] + vX_[6001] * vX_[2017] + vX_[6013] * vX_[2020];
+ vX_[6199] = vX_[6198] * vX_[1261] * -1000.;
+ vX_[6200] = vX_[6199] * vX_[1189];
+ vX_[6201] = vX_[6024] * vX_[2026] + vX_[6001] * vX_[2019] + vX_[6013] * vX_[2015];
+ vX_[6202] = vX_[6201] * vX_[1261] * -1000.;
+ vX_[6203] = vX_[6202] * vX_[1207];
+ vX_[6204] = 0 - vX_[6200] - vX_[6203];
+ vX_[6024] = vX_[6024] * vX_[2018] + vX_[6001] * vX_[2013] + vX_[6013] * vX_[2025];
+ vX_[6013] = vX_[6024] * vX_[1261] * -1000.;
+ vX_[6001] = vX_[6013] * vX_[1189];
+ vX_[6205] = vX_[6199] * vX_[1226];
+ vX_[6206] = vX_[6001] + vX_[6205];
+ vX_[6207] = vX_[6013] * vX_[1207];
+ vX_[6208] = vX_[6202] * vX_[1226];
+ vX_[6209] = vX_[6207] + vX_[6208];
+ vX_[6210] = vX_[6199] * vX_[1207];
+ vX_[6211] = vX_[6202] * vX_[1189];
+ vX_[6212] = vX_[6210] - vX_[6211];
+ vX_[6204] = vX_[6204] * vX_[1152] +
+ (vX_[6204] * vX_[1151] + vX_[6206] * vX_[1190] + vX_[6209] * vX_[1156] + vX_[6212] * vX_[1193]) * 2.;
+ vX_[6208] = 0 - vX_[6207] + vX_[6208];
+ vX_[6205] = vX_[6001] - vX_[6205];
+ vX_[6212] = vX_[6212] * vX_[1152] + vX_[6208] * vX_[1191] + vX_[6205] * vX_[1157];
+ vX_[6001] = 0 - vX_[6212];
+ vX_[6207] = vX_[6204] * vX_[1150] + vX_[6001] * vX_[1146];
+ vX_[6213] = vX_[6013] * vX_[1226];
+ vX_[6203] = 0 - vX_[6213] - vX_[6203];
+ vX_[6211] = vX_[6210] + vX_[6211];
+ vX_[6203] = vX_[6206] * vX_[1152] + vX_[6203] * vX_[1191] +
+ (vX_[6203] * vX_[1190] + vX_[6211] * vX_[1156] + vX_[6208] * vX_[1193]) * 2.;
+ vX_[6208] = 0 - vX_[6203];
+ vX_[6213] = 0 - vX_[6213] - vX_[6200];
+ vX_[6213] = vX_[6209] * vX_[1152] + vX_[6211] * vX_[1191] + vX_[6213] * vX_[1157] +
+ (vX_[6213] * vX_[1156] + vX_[6205] * vX_[1193]) * 2.;
+ vX_[6211] = vX_[6208] * vX_[1146] + vX_[6213] * vX_[1150];
+ vX_[6205] = vX_[6203] * vX_[1150] + vX_[6213] * vX_[1146];
+ vX_[6209] = vX_[6204] * vX_[1146] + vX_[6212] * vX_[1150];
+ vX_[6024] =
+ vX_[6024] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[6024] * vX_[1158] + vX_[6198] * vX_[1227] + vX_[6201] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[6201] = vX_[6024] * vX_[1250];
+ vX_[6198] = vX_[6024] * vX_[1181];
+ vX_[6200] = (vX_[6201] * vX_[1242] + vX_[6198] * vX_[1243]) * 2.;
+ vX_[6206] = 0 - vX_[6198];
+ vX_[6210] = vX_[6206] * vX_[1251] + vX_[6201] * vX_[1244];
+ vX_[6214] = 0 - vX_[6210];
+ vX_[6215] = vX_[6200] * vX_[1238] + vX_[6214] * vX_[1234];
+ vX_[6216] = vX_[6024] * vX_[1257];
+ vX_[6217] = 0 - vX_[6216];
+ vX_[6217] = vX_[6201] * vX_[1239] + vX_[6217] * vX_[1251] + (vX_[6217] * vX_[1242] + vX_[6206] * vX_[1245]) * 2.;
+ vX_[6206] = 0 - vX_[6217];
+ vX_[6216] = 0 - vX_[6216];
+ vX_[6216] = vX_[6198] * vX_[1239] + vX_[6216] * vX_[1244] + (vX_[6216] * vX_[1243] + vX_[6201] * vX_[1245]) * 2.;
+ vX_[6198] = vX_[6206] * vX_[1234] + vX_[6216] * vX_[1238];
+ vX_[6201] = vX_[6217] * vX_[1238] + vX_[6216] * vX_[1234];
+ vX_[6218] = vX_[6200] * vX_[1234] + vX_[6210] * vX_[1238];
+ vX_[6219] = vX_[6097] * vX_[2046] + vX_[6074] * vX_[2049] + vX_[6086] * vX_[2052];
+ vX_[6220] = vX_[6219] * vX_[1573] * -1000.;
+ vX_[6221] = vX_[6220] * vX_[1499];
+ vX_[6222] = vX_[6097] * vX_[2058] + vX_[6074] * vX_[2051] + vX_[6086] * vX_[2047];
+ vX_[6223] = vX_[6222] * vX_[1573] * -1000.;
+ vX_[6224] = vX_[6223] * vX_[1518];
+ vX_[6225] = 0 - vX_[6221] - vX_[6224];
+ vX_[6097] = vX_[6097] * vX_[2050] + vX_[6074] * vX_[2045] + vX_[6086] * vX_[2057];
+ vX_[6086] = vX_[6097] * vX_[1573] * -1000.;
+ vX_[6074] = vX_[6086] * vX_[1499];
+ vX_[6226] = vX_[6220] * vX_[1536];
+ vX_[6227] = vX_[6074] + vX_[6226];
+ vX_[6228] = vX_[6086] * vX_[1518];
+ vX_[6229] = vX_[6223] * vX_[1536];
+ vX_[6230] = vX_[6228] + vX_[6229];
+ vX_[6231] = vX_[6220] * vX_[1518];
+ vX_[6232] = vX_[6223] * vX_[1499];
+ vX_[6233] = vX_[6231] - vX_[6232];
+ vX_[6225] = vX_[6225] * vX_[1463] +
+ (vX_[6225] * vX_[1462] + vX_[6227] * vX_[1500] + vX_[6230] * vX_[1467] + vX_[6233] * vX_[1503]) * 2.;
+ vX_[6229] = 0 - vX_[6228] + vX_[6229];
+ vX_[6226] = vX_[6074] - vX_[6226];
+ vX_[6233] = vX_[6233] * vX_[1463] + vX_[6229] * vX_[1501] + vX_[6226] * vX_[1468];
+ vX_[6074] = 0 - vX_[6233];
+ vX_[6228] = vX_[6225] * vX_[1461] + vX_[6074] * vX_[1457];
+ vX_[6234] = vX_[6086] * vX_[1536];
+ vX_[6224] = 0 - vX_[6234] - vX_[6224];
+ vX_[6232] = vX_[6231] + vX_[6232];
+ vX_[6224] = vX_[6227] * vX_[1463] + vX_[6224] * vX_[1501] +
+ (vX_[6224] * vX_[1500] + vX_[6232] * vX_[1467] + vX_[6229] * vX_[1503]) * 2.;
+ vX_[6229] = 0 - vX_[6224];
+ vX_[6234] = 0 - vX_[6234] - vX_[6221];
+ vX_[6234] = vX_[6230] * vX_[1463] + vX_[6232] * vX_[1501] + vX_[6234] * vX_[1468] +
+ (vX_[6234] * vX_[1467] + vX_[6226] * vX_[1503]) * 2.;
+ vX_[6232] = vX_[6229] * vX_[1457] + vX_[6234] * vX_[1461];
+ vX_[6226] = vX_[6224] * vX_[1461] + vX_[6234] * vX_[1457];
+ vX_[6230] = vX_[6225] * vX_[1457] + vX_[6233] * vX_[1461];
+ vX_[6097] =
+ vX_[6097] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[6097] * vX_[1469] + vX_[6219] * vX_[1537] + vX_[6222] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[6222] = vX_[6097] * vX_[1560];
+ vX_[6219] = vX_[6097] * vX_[1491];
+ vX_[6221] = (vX_[6222] * vX_[1552] + vX_[6219] * vX_[1553]) * 2.;
+ vX_[6227] = 0 - vX_[6219];
+ vX_[6231] = vX_[6227] * vX_[1561] + vX_[6222] * vX_[1554];
+ vX_[6235] = 0 - vX_[6231];
+ vX_[6236] = vX_[6221] * vX_[1548] + vX_[6235] * vX_[1544];
+ vX_[6237] = vX_[6097] * vX_[1569];
+ vX_[6238] = 0 - vX_[6237];
+ vX_[6238] = vX_[6222] * vX_[1549] + vX_[6238] * vX_[1561] + (vX_[6238] * vX_[1552] + vX_[6227] * vX_[1555]) * 2.;
+ vX_[6227] = 0 - vX_[6238];
+ vX_[6237] = 0 - vX_[6237];
+ vX_[6237] = vX_[6219] * vX_[1549] + vX_[6237] * vX_[1554] + (vX_[6237] * vX_[1553] + vX_[6222] * vX_[1555]) * 2.;
+ vX_[6219] = vX_[6227] * vX_[1544] + vX_[6237] * vX_[1548];
+ vX_[6222] = vX_[6238] * vX_[1548] + vX_[6237] * vX_[1544];
+ vX_[6239] = vX_[6221] * vX_[1544] + vX_[6231] * vX_[1548];
+ vX_[6240] = vX_[6170] * vX_[2078] + vX_[6147] * vX_[2081] + vX_[6159] * vX_[2084];
+ vX_[6241] = vX_[6240] * vX_[1886] * -1000.;
+ vX_[6242] = vX_[6241] * vX_[1809];
+ vX_[6243] = vX_[6170] * vX_[2090] + vX_[6147] * vX_[2083] + vX_[6159] * vX_[2079];
+ vX_[6244] = vX_[6243] * vX_[1886] * -1000.;
+ vX_[6245] = vX_[6244] * vX_[1828];
+ vX_[6246] = 0 - vX_[6242] - vX_[6245];
+ vX_[6170] = vX_[6170] * vX_[2082] + vX_[6147] * vX_[2077] + vX_[6159] * vX_[2089];
+ vX_[6159] = vX_[6170] * vX_[1886] * -1000.;
+ vX_[6147] = vX_[6159] * vX_[1809];
+ vX_[6247] = vX_[6241] * vX_[1846];
+ vX_[6248] = vX_[6147] + vX_[6247];
+ vX_[6249] = vX_[6159] * vX_[1828];
+ vX_[6250] = vX_[6244] * vX_[1846];
+ vX_[6251] = vX_[6249] + vX_[6250];
+ vX_[6252] = vX_[6241] * vX_[1828];
+ vX_[6253] = vX_[6244] * vX_[1809];
+ vX_[6254] = vX_[6252] - vX_[6253];
+ vX_[6246] = vX_[6246] * vX_[1775] +
+ (vX_[6246] * vX_[1774] + vX_[6248] * vX_[1810] + vX_[6251] * vX_[1779] + vX_[6254] * vX_[1813]) * 2.;
+ vX_[6250] = 0 - vX_[6249] + vX_[6250];
+ vX_[6247] = vX_[6147] - vX_[6247];
+ vX_[6254] = vX_[6254] * vX_[1775] + vX_[6250] * vX_[1811] + vX_[6247] * vX_[1780];
+ vX_[6147] = 0 - vX_[6254];
+ vX_[6249] = vX_[6246] * vX_[1773] + vX_[6147] * vX_[1769];
+ vX_[6255] = vX_[6159] * vX_[1846];
+ vX_[6245] = 0 - vX_[6255] - vX_[6245];
+ vX_[6253] = vX_[6252] + vX_[6253];
+ vX_[6245] = vX_[6248] * vX_[1775] + vX_[6245] * vX_[1811] +
+ (vX_[6245] * vX_[1810] + vX_[6253] * vX_[1779] + vX_[6250] * vX_[1813]) * 2.;
+ vX_[6250] = 0 - vX_[6245];
+ vX_[6255] = 0 - vX_[6255] - vX_[6242];
+ vX_[6255] = vX_[6251] * vX_[1775] + vX_[6253] * vX_[1811] + vX_[6255] * vX_[1780] +
+ (vX_[6255] * vX_[1779] + vX_[6247] * vX_[1813]) * 2.;
+ vX_[6253] = vX_[6250] * vX_[1769] + vX_[6255] * vX_[1773];
+ vX_[6247] = vX_[6245] * vX_[1773] + vX_[6255] * vX_[1769];
+ vX_[6251] = vX_[6246] * vX_[1769] + vX_[6254] * vX_[1773];
+ vX_[6170] =
+ vX_[6170] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[6170] * vX_[1781] + vX_[6240] * vX_[1847] + vX_[6243] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[208] = vX_[5951] + vX_[6024] + vX_[6097] + vX_[6170];
+ vX_[6243] = vX_[6170] * vX_[1870];
+ vX_[6240] = vX_[6170] * vX_[1875];
+ vX_[6242] = (vX_[6243] * vX_[1862] + vX_[6240] * vX_[1863]) * 2.;
+ vX_[6248] = 0 - vX_[6240];
+ vX_[6252] = vX_[6248] * vX_[1871] + vX_[6243] * vX_[1864];
+ vX_[6256] = 0 - vX_[6252];
+ vX_[6257] = vX_[6242] * vX_[1858] + vX_[6256] * vX_[1854];
+ vX_[6258] = vX_[6170] * vX_[1882];
+ vX_[6259] = 0 - vX_[6258];
+ vX_[6259] = vX_[6243] * vX_[1859] + vX_[6259] * vX_[1871] + (vX_[6259] * vX_[1862] + vX_[6248] * vX_[1865]) * 2.;
+ vX_[6248] = 0 - vX_[6259];
+ vX_[6258] = 0 - vX_[6258];
+ vX_[6258] = vX_[6240] * vX_[1859] + vX_[6258] * vX_[1864] + (vX_[6258] * vX_[1863] + vX_[6243] * vX_[1865]) * 2.;
+ vX_[6240] = vX_[6248] * vX_[1854] + vX_[6258] * vX_[1858];
+ vX_[6243] = vX_[6259] * vX_[1858] + vX_[6258] * vX_[1854];
+ vX_[6260] = vX_[6242] * vX_[1854] + vX_[6252] * vX_[1858];
+ jac[28] = ((vX_[5954] * vX_[999] + vX_[5958] * vX_[994]) * vX_[1029] -
+ (vX_[5952] * vX_[999] + vX_[5956] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[6027] * vX_[1308] + vX_[6031] * vX_[1303]) * vX_[1340] -
+ (vX_[6025] * vX_[1308] + vX_[6029] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[6100] * vX_[1620] + vX_[6104] * vX_[1615]) * vX_[1650] -
+ (vX_[6098] * vX_[1620] + vX_[6102] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[6173] * vX_[1934] + vX_[6177] * vX_[1929]) * vX_[1966] -
+ (vX_[6171] * vX_[1934] + vX_[6175] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[6186] * vX_[834] + vX_[6190] * vX_[829]) * vX_[1992] -
+ (vX_[6184] * vX_[834] + vX_[6188] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[6194] * vX_[919] + vX_[6148] * vX_[914]) * vX_[1995] -
+ (vX_[6180] * vX_[919] + vX_[6197] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[6207] * vX_[1148] + vX_[6211] * vX_[1143]) * vX_[2024] -
+ (vX_[6205] * vX_[1148] + vX_[6209] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[6215] * vX_[1236] + vX_[6198] * vX_[1231]) * vX_[2027] -
+ (vX_[6201] * vX_[1236] + vX_[6218] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[6228] * vX_[1459] + vX_[6232] * vX_[1454]) * vX_[2056] -
+ (vX_[6226] * vX_[1459] + vX_[6230] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[6236] * vX_[1546] + vX_[6219] * vX_[1541]) * vX_[2059] -
+ (vX_[6222] * vX_[1546] + vX_[6239] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[6249] * vX_[1771] + vX_[6253] * vX_[1766]) * vX_[2088] -
+ (vX_[6247] * vX_[1771] + vX_[6251] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[6257] * vX_[1856] + vX_[6240] * vX_[1851]) * vX_[2091] -
+ (vX_[6243] * vX_[1856] + vX_[6260] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[6261] = -1. + -4.21975478400367 * vX_[1388] + 0.0168251785646079 * vX_[282];
+ vX_[6262] = vX_[6261] * 1 / vX_[300];
+ vX_[6263] = 0 - vX_[6262];
+ vX_[6264] = vX_[6263] * vX_[307];
+ vX_[6265] = 0 - vX_[6262];
+ vX_[6266] = vX_[6265] * vX_[288];
+ vX_[6267] = vX_[6264] * vX_[304] + vX_[6266] * vX_[276];
+ vX_[6268] = vX_[6267] * 1 / vX_[351];
+ vX_[6269] = 0 - vX_[6268];
+ vX_[6270] = vX_[6269] * vX_[325];
+ vX_[6271] = 0 - vX_[6262];
+ vX_[6272] = -4.21975478400367 * vX_[277] + 0.0168251785646079 * vX_[279] + vX_[6271] * vX_[311];
+ vX_[6273] = 0 - vX_[6262];
+ vX_[6274] = -4.21975478400367 * vX_[1380] + 0.0168251785646079 * vX_[277] + vX_[6273] * vX_[298];
+ vX_[6275] = 0 - vX_[6268];
+ vX_[6276] = vX_[6272] * vX_[1375] + vX_[6274] * vX_[303] + vX_[6275] * vX_[316];
+ vX_[6277] = 0 - vX_[6268];
+ vX_[6267] = vX_[6267] + vX_[6277] * vX_[351] + vX_[6270] * vX_[1341] + vX_[6276] * vX_[274];
+ vX_[6278] = 0 - vX_[6262];
+ vX_[6279] = 0 - vX_[6268];
+ vX_[6261] = vX_[6261] + vX_[6278] * vX_[300] + vX_[6272] * vX_[1376] + vX_[6274] * vX_[321] + vX_[6279] * vX_[376];
+ vX_[6280] = 0 - vX_[6268];
+ vX_[6281] = vX_[6264] * vX_[276] + vX_[6266] * vX_[303] + vX_[6280] * vX_[385];
+ vX_[6282] = 0 - (vX_[6270] * vX_[366] + vX_[6276] * vX_[1361] + vX_[6261] * vX_[273] + vX_[6281] * vX_[354]) +
+ vX_[6267] * vX_[637];
+ vX_[6283] = 0 - vX_[6282];
+ vX_[6284] = 0 - vX_[6268];
+ vX_[6285] = vX_[6272] * vX_[1374] + vX_[6274] * vX_[1378] + vX_[6284] * vX_[363];
+ vX_[6286] = 0 - vX_[6282];
+ vX_[6287] = 0 - (vX_[6285] * 0.207 + vX_[6270] * vX_[368] + vX_[6276] * vX_[1360] + vX_[6261] * vX_[354] +
+ vX_[6281] * vX_[367]) +
+ vX_[6267] * vX_[624] + vX_[6286] * vX_[668];
+ vX_[6288] = 0 - vX_[6287];
+ vX_[6289] = 0 - vX_[6282];
+ vX_[6290] = 0 - vX_[6287];
+ vX_[6285] = 0 - vX_[6285] + vX_[6267] * vX_[590] + vX_[6289] * vX_[666] + vX_[6290] * vX_[664];
+ vX_[6291] = 0 - vX_[6285];
+ vX_[6292] = 0 - vX_[6282];
+ vX_[6293] = 0 - vX_[6287];
+ vX_[6294] = 0 - vX_[6285];
+ vX_[6295] = 0 - (vX_[6270] * vX_[273] + vX_[6276] * vX_[354]) + vX_[6267] * vX_[723] + vX_[6292] * vX_[725] +
+ vX_[6293] * vX_[731] + vX_[6294] * vX_[737];
+ vX_[6296] = 0 - vX_[6295];
+ vX_[6297] = (0 - (vX_[6270] * vX_[354] + vX_[6276] * vX_[1359]) + vX_[6267] * vX_[620] + vX_[6283] * vX_[602] +
+ vX_[6288] * vX_[604] + vX_[6291] * vX_[722] + vX_[6296] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[6298] = 0 - vX_[6297];
+ vX_[6295] = (vX_[6295] + vX_[6298] * vX_[743]) * 1 / vX_[718];
+ vX_[6299] = 0 - vX_[6297];
+ vX_[6300] = 0 - vX_[6295];
+ vX_[6301] = 0 - vX_[6297];
+ vX_[6302] = 0 - vX_[6295];
+ vX_[6285] = (vX_[6285] + vX_[6301] * vX_[689] + vX_[6302] * vX_[736]) * 1 / vX_[721];
+ vX_[6303] = 0 - vX_[6285];
+ vX_[6287] = (vX_[6287] + vX_[6299] * vX_[682] + vX_[6300] * vX_[730] + vX_[6303] * vX_[509]) * 1 / vX_[618];
+ vX_[6304] = 0 - vX_[6297];
+ vX_[6305] = 0 - vX_[6295];
+ vX_[6306] = 0 - vX_[6285];
+ vX_[6307] = 0 - vX_[6287];
+ vX_[6282] =
+ (vX_[6282] + vX_[6304] * vX_[662] + vX_[6305] * vX_[633] + vX_[6306] * vX_[691] + vX_[6307] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[6308] = 0 - vX_[6297];
+ vX_[6309] = 0 - vX_[6295];
+ vX_[6310] = 0 - vX_[6285];
+ vX_[6311] = 0 - vX_[6287];
+ vX_[6312] = 0 - vX_[6282];
+ vX_[6313] = (0 - vX_[6267] + vX_[6308] * vX_[510] + vX_[6309] * vX_[518] + vX_[6310] * vX_[690] +
+ vX_[6311] * vX_[628] + vX_[6312] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6314] =
+ vX_[6297] * vX_[126] + vX_[6295] * vX_[1] + vX_[6287] * vX_[140] + vX_[6282] * vX_[138] + vX_[6313] * vX_[706];
+ vX_[6315] = vX_[6285] + vX_[6287] * 0.207;
+ vX_[6316] = vX_[6315] * 1 / vX_[123];
+ vX_[6317] = vX_[6314] * 1 / vX_[123];
+ vX_[6318] =
+ vX_[6297] * vX_[729] + vX_[6295] * vX_[126] + vX_[6287] * vX_[728] + vX_[6282] * vX_[727] + vX_[6313] * vX_[27];
+ vX_[6319] = vX_[6318] * 1 / vX_[123];
+ vX_[6320] = vX_[6313] * 1 / vX_[123];
+ vX_[6321] = vX_[6287] * vX_[126] + vX_[6282] * vX_[1];
+ vX_[6322] = vX_[6321] * 1 / vX_[123];
+ vX_[6323] = vX_[6287] * vX_[139] + vX_[6282] * vX_[126];
+ vX_[6324] = vX_[6323] * 1 / vX_[123];
+ vX_[6325] = vX_[6313] - (vX_[6316] * vX_[135] + vX_[6317] * vX_[97] + vX_[6319] * vX_[88] + vX_[6320] * vX_[123] +
+ vX_[6322] * vX_[148] + vX_[6324] * vX_[157]);
+ vX_[6326] = vX_[6314] + vX_[6325] * 0.08;
+ vX_[6327] = vX_[6325] * vX_[76] + vX_[6323] * vX_[4];
+ vX_[6328] = vX_[6326] + vX_[6327] * -0.35;
+ vX_[6329] = 0 - vX_[6328];
+ vX_[6330] = vX_[6315] * vX_[750] + vX_[6318] * vX_[751] + vX_[6321] * vX_[752];
+ vX_[6331] = vX_[6315] * vX_[754] + vX_[6318] * vX_[75] + vX_[6321] * vX_[93];
+ vX_[6332] = vX_[6330] * 1 / vX_[72];
+ vX_[6333] = vX_[6331] * 1 / vX_[72];
+ vX_[6334] = vX_[6321] * 1 / vX_[72];
+ vX_[6335] = vX_[6327] * 1 / vX_[72];
+ vX_[6336] = vX_[6325] * vX_[4] + vX_[6323] * vX_[75];
+ vX_[6337] = vX_[6336] * 1 / vX_[72];
+ vX_[6338] = vX_[6321] - (vX_[6332] * vX_[83] + vX_[6333] * vX_[70] + vX_[6334] * vX_[72] + vX_[6335] * vX_[79] +
+ vX_[6337] * vX_[60]);
+ vX_[6339] = vX_[6330] * vX_[7] + vX_[6331] * vX_[756] + vX_[6338] * vX_[764];
+ vX_[6340] = 0 - vX_[6339];
+ vX_[6341] = vX_[6330] * vX_[51] + vX_[6331] * vX_[7] + vX_[6338] * vX_[54];
+ vX_[6342] = 0 - vX_[6341];
+ vX_[6343] = vX_[6338] - (vX_[6339] * 38.1956380581338 * 0.1104774 + vX_[6341] * 38.1956380581338 * 0.0004405 +
+ vX_[6338] * 38.1956380581338 * 0.026181);
+ vX_[6344] = 0 - vX_[6343];
+ vX_[6345] = vX_[6327] * vX_[7] + vX_[6336] * vX_[52];
+ vX_[6346] = 0 - vX_[6345];
+ vX_[6347] = vX_[6327] * vX_[51] + vX_[6336] * vX_[7];
+ vX_[6348] = 0 - vX_[6347];
+ vX_[6349] = 0 - vX_[6343];
+ vX_[6350] = 0 - vX_[6345];
+ vX_[6351] = 0 - vX_[6347];
+ vX_[6352] = vX_[6349] * vX_[126] + vX_[6350] * vX_[803] + vX_[6351] * vX_[806];
+ vX_[6353] = 0 - vX_[6345];
+ vX_[6354] = 0 - vX_[6347];
+ vX_[6355] = vX_[6353] * vX_[812] + vX_[6354] * vX_[816];
+ vX_[6356] = 0 - vX_[6355];
+ vX_[6357] = vX_[6329] * vX_[1] + vX_[6340] * vX_[771] + vX_[6342] * vX_[776] + vX_[6344] * vX_[780] +
+ vX_[6346] * vX_[789] + vX_[6348] * vX_[797] + vX_[6352] * vX_[810] + vX_[6356] * vX_[824];
+ vX_[6358] = vX_[6357] * vX_[951];
+ vX_[6359] = 0 - vX_[6339];
+ vX_[6360] = 0 - vX_[6341];
+ vX_[6361] = 0 - vX_[6343];
+ vX_[6362] = 0 - vX_[6345];
+ vX_[6363] = 0 - vX_[6347];
+ vX_[6364] = 0 - vX_[6352];
+ vX_[6365] = 0 - vX_[6343];
+ vX_[6366] = 0 - vX_[6345];
+ vX_[6367] = 0 - vX_[6347];
+ vX_[6368] = vX_[6365] * vX_[1] + vX_[6366] * vX_[770] + vX_[6367] * vX_[775];
+ vX_[6369] = vX_[6359] * vX_[812] + vX_[6360] * vX_[815] + vX_[6361] * vX_[957] + vX_[6362] * vX_[963] +
+ vX_[6363] * vX_[968] + vX_[6364] * vX_[975] + vX_[6368] * vX_[824];
+ vX_[6370] = vX_[6369] * vX_[988];
+ vX_[6371] = 0 - vX_[6358] - vX_[6370];
+ vX_[6372] = vX_[6357] * vX_[984];
+ vX_[6373] = 0 - vX_[6328];
+ vX_[6374] = 0 - vX_[6339];
+ vX_[6375] = 0 - vX_[6341];
+ vX_[6376] = 0 - vX_[6343];
+ vX_[6377] = 0 - vX_[6345];
+ vX_[6378] = 0 - vX_[6347];
+ vX_[6379] = 0 - vX_[6368];
+ vX_[6380] = vX_[6373] * vX_[126] + vX_[6374] * vX_[801] + vX_[6375] * vX_[805] + vX_[6376] * vX_[1010] +
+ vX_[6377] * vX_[1018] + vX_[6378] * vX_[1026] + vX_[6379] * vX_[810] + vX_[6355] * vX_[975];
+ vX_[6381] = vX_[6380] * vX_[951];
+ vX_[6382] = vX_[6372] + vX_[6381];
+ vX_[6383] = vX_[6369] * vX_[984];
+ vX_[6384] = vX_[6380] * vX_[988];
+ vX_[6385] = vX_[6383] + vX_[6384];
+ vX_[6386] = vX_[6369] * vX_[951];
+ vX_[6387] = vX_[6357] * vX_[988];
+ vX_[6388] = vX_[6386] - vX_[6387];
+ vX_[6371] = vX_[6371] * vX_[1003] +
+ (vX_[6371] * vX_[1002] + vX_[6382] * vX_[1033] + vX_[6385] * vX_[1037] + vX_[6388] * vX_[1041]) * 2.;
+ vX_[6384] = 0 - vX_[6383] + vX_[6384];
+ vX_[6381] = vX_[6372] - vX_[6381];
+ vX_[6388] = vX_[6388] * vX_[1003] + vX_[6384] * vX_[1034] + vX_[6381] * vX_[892];
+ vX_[6372] = 0 - vX_[6388];
+ vX_[6383] = vX_[6371] * vX_[1001] + vX_[6372] * vX_[997];
+ vX_[6389] = vX_[6380] * vX_[984];
+ vX_[6370] = 0 - vX_[6389] - vX_[6370];
+ vX_[6387] = vX_[6386] + vX_[6387];
+ vX_[6370] = vX_[6382] * vX_[1003] + vX_[6370] * vX_[1034] +
+ (vX_[6370] * vX_[1033] + vX_[6387] * vX_[1037] + vX_[6384] * vX_[1041]) * 2.;
+ vX_[6384] = 0 - vX_[6370];
+ vX_[6389] = 0 - vX_[6389] - vX_[6358];
+ vX_[6389] = vX_[6385] * vX_[1003] + vX_[6387] * vX_[1034] + vX_[6389] * vX_[892] +
+ (vX_[6389] * vX_[1037] + vX_[6381] * vX_[1041]) * 2.;
+ vX_[6387] = vX_[6384] * vX_[997] + vX_[6389] * vX_[1001];
+ vX_[6381] = vX_[6370] * vX_[1001] + vX_[6389] * vX_[997];
+ vX_[6385] = vX_[6371] * vX_[997] + vX_[6388] * vX_[1001];
+ vX_[6358] = vX_[6297] * vX_[235] + vX_[6295] * vX_[1030] + vX_[6287] * vX_[250] + vX_[6282] * vX_[248] +
+ vX_[6313] * vX_[1038];
+ vX_[6382] = vX_[6313] * -1;
+ vX_[6386] = vX_[6285] * -1 + vX_[6287] * 0.207;
+ vX_[6390] = vX_[6386] * 1 / vX_[232];
+ vX_[6391] = vX_[6358] * 1 / vX_[232];
+ vX_[6392] = vX_[6297] * vX_[1050] + vX_[6295] * vX_[1051] + vX_[6287] * vX_[1052] + vX_[6282] * vX_[1053] +
+ vX_[6313] * vX_[164];
+ vX_[6393] = vX_[6392] * 1 / vX_[232];
+ vX_[6394] = vX_[6382] * 1 / vX_[232];
+ vX_[6395] = vX_[6287] * vX_[235] + vX_[6282] * vX_[249];
+ vX_[6396] = vX_[6395] * 1 / vX_[232];
+ vX_[6397] = vX_[6287] * vX_[249] + vX_[6282] * vX_[247];
+ vX_[6398] = vX_[6397] * 1 / vX_[232];
+ vX_[6382] = vX_[6382] - (vX_[6390] * vX_[244] + vX_[6391] * vX_[206] + vX_[6393] * vX_[196] + vX_[6394] * vX_[232] +
+ vX_[6396] * vX_[258] + vX_[6398] * vX_[267]);
+ vX_[6399] = vX_[6358] * -1 + vX_[6382] * -0.08;
+ vX_[6400] = vX_[6382] * vX_[186] + vX_[6397] * vX_[195];
+ vX_[6401] = vX_[6399] + vX_[6400] * -0.35;
+ vX_[6402] = 0 - vX_[6401];
+ vX_[6403] = vX_[6386] * vX_[186] + vX_[6392] * vX_[1065] + vX_[6395] * vX_[1066];
+ vX_[6404] = vX_[6386] * vX_[166] + vX_[6392] * vX_[186] + vX_[6395] * vX_[201];
+ vX_[6405] = vX_[6395] * -1;
+ vX_[6406] = vX_[6403] * 1 / vX_[183];
+ vX_[6407] = vX_[6404] * 1 / vX_[183];
+ vX_[6408] = vX_[6405] * 1 / vX_[183];
+ vX_[6409] = vX_[6400] * 1 / vX_[183];
+ vX_[6410] = vX_[6382] * vX_[166] + vX_[6397] * vX_[186];
+ vX_[6411] = vX_[6410] * 1 / vX_[183];
+ vX_[6405] = vX_[6405] - (vX_[6406] * vX_[190] + vX_[6407] * vX_[181] + vX_[6408] * vX_[183] + vX_[6409] * 2.1e-05 +
+ vX_[6411] * -0.000102);
+ vX_[6412] = vX_[6403] * vX_[169] + vX_[6404] * vX_[1069] + vX_[6405] * vX_[1077];
+ vX_[6413] = 0 - vX_[6412];
+ vX_[6414] = vX_[6403] * vX_[167] + vX_[6404] * vX_[169] + vX_[6405] * vX_[168];
+ vX_[6415] = 0 - vX_[6414];
+ vX_[6416] = vX_[6405] - (vX_[6412] * 38.1956380581338 * 0.110125 + vX_[6414] * 38.1956380581338 * 0.000881 +
+ vX_[6405] * 38.1956380581338 * 0.026181);
+ vX_[6417] = 0 - vX_[6416];
+ vX_[6418] = vX_[6400] * vX_[169] + vX_[6410] * vX_[175];
+ vX_[6419] = 0 - vX_[6418];
+ vX_[6420] = vX_[6400] * vX_[167] + vX_[6410] * vX_[169];
+ vX_[6421] = 0 - vX_[6420];
+ vX_[6422] = 0 - vX_[6416];
+ vX_[6423] = 0 - vX_[6418];
+ vX_[6424] = 0 - vX_[6420];
+ vX_[6425] = vX_[6422] * vX_[1111] + vX_[6423] * vX_[1116] + vX_[6424] * vX_[1120];
+ vX_[6426] = 0 - vX_[6418];
+ vX_[6427] = 0 - vX_[6420];
+ vX_[6428] = vX_[6426] * vX_[1126] + vX_[6427] * vX_[1130];
+ vX_[6429] = 0 - vX_[6428];
+ vX_[6430] = vX_[6402] * vX_[163] + vX_[6413] * vX_[1083] + vX_[6415] * vX_[1088] + vX_[6417] * vX_[1092] +
+ vX_[6419] * vX_[1101] + vX_[6421] * vX_[1109] + vX_[6425] * vX_[1124] + vX_[6429] * vX_[1138];
+ vX_[6431] = vX_[6430] * vX_[1262];
+ vX_[6432] = 0 - vX_[6412];
+ vX_[6433] = 0 - vX_[6414];
+ vX_[6434] = 0 - vX_[6416];
+ vX_[6435] = 0 - vX_[6418];
+ vX_[6436] = 0 - vX_[6420];
+ vX_[6437] = 0 - vX_[6425];
+ vX_[6438] = 0 - vX_[6416];
+ vX_[6439] = 0 - vX_[6418];
+ vX_[6440] = 0 - vX_[6420];
+ vX_[6441] = vX_[6438] * vX_[163] + vX_[6439] * vX_[1082] + vX_[6440] * vX_[1086];
+ vX_[6442] = vX_[6432] * vX_[1126] + vX_[6433] * vX_[1129] + vX_[6434] * vX_[1268] + vX_[6435] * vX_[1274] +
+ vX_[6436] * vX_[1279] + vX_[6437] * vX_[1219] + vX_[6441] * vX_[1138];
+ vX_[6443] = vX_[6442] * vX_[1297];
+ vX_[6444] = 0 - vX_[6431] - vX_[6443];
+ vX_[6445] = vX_[6430] * vX_[1293];
+ vX_[6446] = 0 - vX_[6401];
+ vX_[6447] = 0 - vX_[6412];
+ vX_[6448] = 0 - vX_[6414];
+ vX_[6449] = 0 - vX_[6416];
+ vX_[6450] = 0 - vX_[6418];
+ vX_[6451] = 0 - vX_[6420];
+ vX_[6452] = 0 - vX_[6441];
+ vX_[6453] = vX_[6446] * vX_[1314] + vX_[6447] * vX_[1114] + vX_[6448] * vX_[1119] + vX_[6449] * vX_[1321] +
+ vX_[6450] * vX_[1329] + vX_[6451] * vX_[1337] + vX_[6452] * vX_[1124] + vX_[6428] * vX_[1219];
+ vX_[6454] = vX_[6453] * vX_[1262];
+ vX_[6455] = vX_[6445] + vX_[6454];
+ vX_[6456] = vX_[6442] * vX_[1293];
+ vX_[6457] = vX_[6453] * vX_[1297];
+ vX_[6458] = vX_[6456] + vX_[6457];
+ vX_[6459] = vX_[6442] * vX_[1262];
+ vX_[6460] = vX_[6430] * vX_[1297];
+ vX_[6461] = vX_[6459] - vX_[6460];
+ vX_[6444] = vX_[6444] * vX_[1312] +
+ (vX_[6444] * vX_[1311] + vX_[6455] * vX_[1344] + vX_[6458] * vX_[1348] + vX_[6461] * vX_[1352]) * 2.;
+ vX_[6457] = 0 - vX_[6456] + vX_[6457];
+ vX_[6454] = vX_[6445] - vX_[6454];
+ vX_[6461] = vX_[6461] * vX_[1312] + vX_[6457] * vX_[1345] + vX_[6454] * vX_[1208];
+ vX_[6445] = 0 - vX_[6461];
+ vX_[6456] = vX_[6444] * vX_[1310] + vX_[6445] * vX_[1306];
+ vX_[6462] = vX_[6453] * vX_[1293];
+ vX_[6443] = 0 - vX_[6462] - vX_[6443];
+ vX_[6460] = vX_[6459] + vX_[6460];
+ vX_[6443] = vX_[6455] * vX_[1312] + vX_[6443] * vX_[1345] +
+ (vX_[6443] * vX_[1344] + vX_[6460] * vX_[1348] + vX_[6457] * vX_[1352]) * 2.;
+ vX_[6457] = 0 - vX_[6443];
+ vX_[6462] = 0 - vX_[6462] - vX_[6431];
+ vX_[6462] = vX_[6458] * vX_[1312] + vX_[6460] * vX_[1345] + vX_[6462] * vX_[1208] +
+ (vX_[6462] * vX_[1348] + vX_[6454] * vX_[1352]) * 2.;
+ vX_[6460] = vX_[6457] * vX_[1306] + vX_[6462] * vX_[1310];
+ vX_[6454] = vX_[6443] * vX_[1310] + vX_[6462] * vX_[1306];
+ vX_[6458] = vX_[6444] * vX_[1306] + vX_[6461] * vX_[1310];
+ vX_[6431] = vX_[6297] * vX_[354] + vX_[6295] * vX_[273] + vX_[6287] * vX_[368] + vX_[6282] * vX_[366] +
+ vX_[6313] * vX_[1341];
+ vX_[6455] = vX_[6285] + vX_[6287] * 0.207;
+ vX_[6459] = vX_[6455] * 1 / vX_[351];
+ vX_[6463] = vX_[6431] * 1 / vX_[351];
+ vX_[6464] = vX_[6297] * vX_[1359] + vX_[6295] * vX_[354] + vX_[6287] * vX_[1360] + vX_[6282] * vX_[1361] +
+ vX_[6313] * vX_[274];
+ vX_[6465] = vX_[6464] * 1 / vX_[351];
+ vX_[6466] = vX_[6313] * 1 / vX_[351];
+ vX_[6467] = vX_[6287] * vX_[354] + vX_[6282] * vX_[273];
+ vX_[6468] = vX_[6467] * 1 / vX_[351];
+ vX_[6469] = vX_[6287] * vX_[367] + vX_[6282] * vX_[354];
+ vX_[6470] = vX_[6469] * 1 / vX_[351];
+ vX_[6471] = vX_[6313] - (vX_[6268] + vX_[6459] * vX_[363] + vX_[6463] * vX_[325] + vX_[6465] * vX_[316] +
+ vX_[6466] * vX_[351] + vX_[6468] * vX_[376] + vX_[6470] * vX_[385]);
+ vX_[6472] = vX_[6431] + vX_[6471] * 0.08;
+ vX_[6473] = vX_[6471] * vX_[304] + vX_[6469] * vX_[276];
+ vX_[6474] = vX_[6472] + vX_[6473] * -0.35;
+ vX_[6475] = 0 - vX_[6474];
+ vX_[6476] = vX_[6455] * vX_[1374] + vX_[6464] * vX_[1375] + vX_[6467] * vX_[1376];
+ vX_[6477] = vX_[6455] * vX_[1378] + vX_[6464] * vX_[303] + vX_[6467] * vX_[321];
+ vX_[6478] = vX_[6476] * 1 / vX_[300];
+ vX_[6479] = vX_[6477] * 1 / vX_[300];
+ vX_[6480] = vX_[6467] * 1 / vX_[300];
+ vX_[6481] = vX_[6473] * 1 / vX_[300];
+ vX_[6482] = vX_[6471] * vX_[276] + vX_[6469] * vX_[303];
+ vX_[6483] = vX_[6482] * 1 / vX_[300];
+ vX_[6484] = vX_[6467] - (vX_[6262] + vX_[6478] * vX_[311] + vX_[6479] * vX_[298] + vX_[6480] * vX_[300] +
+ vX_[6481] * vX_[307] + vX_[6483] * vX_[288]);
+ vX_[6485] = vX_[6476] * vX_[277] + vX_[6477] * vX_[1380] + vX_[6484] * vX_[1388];
+ vX_[6486] = 0 - vX_[6485];
+ vX_[6487] = vX_[6476] * vX_[279] + vX_[6477] * vX_[277] + vX_[6484] * vX_[282];
+ vX_[6488] = 0 - vX_[6487];
+ vX_[6489] = vX_[6484] - (38.1956380581338 + vX_[6485] * 38.1956380581338 * 0.1104774 +
+ vX_[6487] * 38.1956380581338 * -0.0004405 + vX_[6484] * 38.1956380581338 * 0.026181);
+ vX_[6490] = 0 - vX_[6489];
+ vX_[6491] = vX_[6473] * vX_[277] + vX_[6482] * vX_[280];
+ vX_[6492] = 0 - vX_[6491];
+ vX_[6493] = vX_[6473] * vX_[279] + vX_[6482] * vX_[277];
+ vX_[6494] = 0 - vX_[6493];
+ vX_[6495] = 0 - vX_[6489];
+ vX_[6496] = 0 - vX_[6491];
+ vX_[6497] = 0 - vX_[6493];
+ vX_[6498] = vX_[6495] * vX_[354] + vX_[6496] * vX_[1428] + vX_[6497] * vX_[1431];
+ vX_[6499] = 0 - vX_[6491];
+ vX_[6500] = 0 - vX_[6493];
+ vX_[6501] = vX_[6499] * vX_[1437] + vX_[6500] * vX_[1441];
+ vX_[6502] = 0 - vX_[6501];
+ vX_[6503] = vX_[6475] * vX_[273] + vX_[6486] * vX_[1395] + vX_[6488] * vX_[1400] + vX_[6490] * vX_[1404] +
+ vX_[6492] * vX_[1413] + vX_[6494] * vX_[1422] + vX_[6498] * vX_[1435] + vX_[6502] * vX_[1449];
+ vX_[6504] = vX_[6503] * vX_[1574];
+ vX_[6505] = 0 - vX_[6485];
+ vX_[6506] = 0 - vX_[6487];
+ vX_[6507] = 0 - vX_[6489];
+ vX_[6508] = 0 - vX_[6491];
+ vX_[6509] = 0 - vX_[6493];
+ vX_[6510] = 0 - vX_[6498];
+ vX_[6511] = 0 - vX_[6489];
+ vX_[6512] = 0 - vX_[6491];
+ vX_[6513] = 0 - vX_[6493];
+ vX_[6514] = vX_[6511] * vX_[273] + vX_[6512] * vX_[1394] + vX_[6513] * vX_[1399];
+ vX_[6515] = vX_[6505] * vX_[1437] + vX_[6506] * vX_[1440] + vX_[6507] * vX_[1580] + vX_[6508] * vX_[1586] +
+ vX_[6509] * vX_[1591] + vX_[6510] * vX_[1596] + vX_[6514] * vX_[1449];
+ vX_[6516] = vX_[6515] * vX_[1609];
+ vX_[6517] = 0 - vX_[6504] - vX_[6516];
+ vX_[6518] = vX_[6503] * vX_[1605];
+ vX_[6519] = 0 - vX_[6474];
+ vX_[6520] = 0 - vX_[6485];
+ vX_[6521] = 0 - vX_[6487];
+ vX_[6522] = 0 - vX_[6489];
+ vX_[6523] = 0 - vX_[6491];
+ vX_[6524] = 0 - vX_[6493];
+ vX_[6525] = 0 - vX_[6514];
+ vX_[6526] = vX_[6519] * vX_[354] + vX_[6520] * vX_[1426] + vX_[6521] * vX_[1430] + vX_[6522] * vX_[1631] +
+ vX_[6523] * vX_[1639] + vX_[6524] * vX_[1647] + vX_[6525] * vX_[1435] + vX_[6501] * vX_[1596];
+ vX_[6527] = vX_[6526] * vX_[1574];
+ vX_[6528] = vX_[6518] + vX_[6527];
+ vX_[6529] = vX_[6515] * vX_[1605];
+ vX_[6530] = vX_[6526] * vX_[1609];
+ vX_[6531] = vX_[6529] + vX_[6530];
+ vX_[6532] = vX_[6515] * vX_[1574];
+ vX_[6533] = vX_[6503] * vX_[1609];
+ vX_[6534] = vX_[6532] - vX_[6533];
+ vX_[6517] = vX_[6517] * vX_[1624] +
+ (vX_[6517] * vX_[1623] + vX_[6528] * vX_[1654] + vX_[6531] * vX_[1658] + vX_[6534] * vX_[1662]) * 2.;
+ vX_[6530] = 0 - vX_[6529] + vX_[6530];
+ vX_[6527] = vX_[6518] - vX_[6527];
+ vX_[6534] = vX_[6534] * vX_[1624] + vX_[6530] * vX_[1655] + vX_[6527] * vX_[1519];
+ vX_[6518] = 0 - vX_[6534];
+ vX_[6529] = vX_[6517] * vX_[1622] + vX_[6518] * vX_[1618];
+ vX_[6535] = vX_[6526] * vX_[1605];
+ vX_[6516] = 0 - vX_[6535] - vX_[6516];
+ vX_[6533] = vX_[6532] + vX_[6533];
+ vX_[6516] = vX_[6528] * vX_[1624] + vX_[6516] * vX_[1655] +
+ (vX_[6516] * vX_[1654] + vX_[6533] * vX_[1658] + vX_[6530] * vX_[1662]) * 2.;
+ vX_[6530] = 0 - vX_[6516];
+ vX_[6535] = 0 - vX_[6535] - vX_[6504];
+ vX_[6535] = vX_[6531] * vX_[1624] + vX_[6533] * vX_[1655] + vX_[6535] * vX_[1519] +
+ (vX_[6535] * vX_[1658] + vX_[6527] * vX_[1662]) * 2.;
+ vX_[6533] = vX_[6530] * vX_[1618] + vX_[6535] * vX_[1622];
+ vX_[6527] = vX_[6516] * vX_[1622] + vX_[6535] * vX_[1618];
+ vX_[6531] = vX_[6517] * vX_[1618] + vX_[6534] * vX_[1622];
+ vX_[6504] = vX_[6297] * vX_[473] + vX_[6295] * vX_[1651] + vX_[6287] * vX_[488] + vX_[6282] * vX_[486] +
+ vX_[6313] * vX_[1659];
+ vX_[6528] = vX_[6313] * -1;
+ vX_[6532] = vX_[6285] * -1 + vX_[6287] * 0.207;
+ vX_[6536] = vX_[6532] * 1 / vX_[470];
+ vX_[6537] = vX_[6504] * 1 / vX_[470];
+ vX_[6538] = vX_[6297] * vX_[1671] + vX_[6295] * vX_[1672] + vX_[6287] * vX_[1673] + vX_[6282] * vX_[1674] +
+ vX_[6313] * vX_[392];
+ vX_[6539] = vX_[6538] * 1 / vX_[470];
+ vX_[6540] = vX_[6528] * 1 / vX_[470];
+ vX_[6541] = vX_[6287] * vX_[473] + vX_[6282] * vX_[487];
+ vX_[6542] = vX_[6541] * 1 / vX_[470];
+ vX_[6543] = vX_[6287] * vX_[487] + vX_[6282] * vX_[485];
+ vX_[6544] = vX_[6543] * 1 / vX_[470];
+ vX_[6528] = vX_[6528] - (vX_[6536] * vX_[482] + vX_[6537] * vX_[444] + vX_[6539] * vX_[434] + vX_[6540] * vX_[470] +
+ vX_[6542] * vX_[496] + vX_[6544] * vX_[505]);
+ vX_[6545] = vX_[6504] * -1 + vX_[6528] * -0.08;
+ vX_[6546] = vX_[6528] * vX_[421] + vX_[6543] * vX_[433];
+ vX_[6547] = vX_[6545] + vX_[6546] * -0.35;
+ vX_[6548] = 0 - vX_[6547];
+ vX_[6549] = vX_[6532] * vX_[421] + vX_[6538] * vX_[1686] + vX_[6541] * vX_[1687];
+ vX_[6550] = vX_[6532] * vX_[394] + vX_[6538] * vX_[421] + vX_[6541] * vX_[439];
+ vX_[6551] = vX_[6541] * -1;
+ vX_[6552] = vX_[6549] * 1 / vX_[418];
+ vX_[6553] = vX_[6550] * 1 / vX_[418];
+ vX_[6554] = vX_[6551] * 1 / vX_[418];
+ vX_[6555] = vX_[6546] * 1 / vX_[418];
+ vX_[6556] = vX_[6528] * vX_[394] + vX_[6543] * vX_[421];
+ vX_[6557] = vX_[6556] * 1 / vX_[418];
+ vX_[6551] = vX_[6551] - (vX_[6552] * vX_[428] + vX_[6553] * vX_[416] + vX_[6554] * vX_[418] + vX_[6555] * vX_[424] +
+ vX_[6557] * vX_[406]);
+ vX_[6558] = vX_[6549] * vX_[395] + vX_[6550] * vX_[1690] + vX_[6551] * vX_[1698];
+ vX_[6559] = 0 - vX_[6558];
+ vX_[6560] = vX_[6549] * vX_[397] + vX_[6550] * vX_[395] + vX_[6551] * vX_[400];
+ vX_[6561] = 0 - vX_[6560];
+ vX_[6562] = vX_[6551] - (vX_[6558] * 38.1956380581338 * 0.1104774 + vX_[6560] * 38.1956380581338 * -0.0004405 +
+ vX_[6551] * 38.1956380581338 * 0.026181);
+ vX_[6563] = 0 - vX_[6562];
+ vX_[6564] = vX_[6546] * vX_[395] + vX_[6556] * vX_[398];
+ vX_[6565] = 0 - vX_[6564];
+ vX_[6566] = vX_[6546] * vX_[397] + vX_[6556] * vX_[395];
+ vX_[6567] = 0 - vX_[6566];
+ vX_[6568] = 0 - vX_[6562];
+ vX_[6569] = 0 - vX_[6564];
+ vX_[6570] = 0 - vX_[6566];
+ vX_[6571] = vX_[6568] * vX_[1734] + vX_[6569] * vX_[1739] + vX_[6570] * vX_[1743];
+ vX_[6572] = 0 - vX_[6564];
+ vX_[6573] = 0 - vX_[6566];
+ vX_[6574] = vX_[6572] * vX_[1749] + vX_[6573] * vX_[1753];
+ vX_[6575] = 0 - vX_[6574];
+ vX_[6576] = vX_[6548] * vX_[391] + vX_[6559] * vX_[1705] + vX_[6561] * vX_[1710] + vX_[6563] * vX_[1714] +
+ vX_[6565] * vX_[1723] + vX_[6567] * vX_[1732] + vX_[6571] * vX_[1747] + vX_[6575] * vX_[1761];
+ vX_[6577] = vX_[6576] * vX_[1887];
+ vX_[6578] = 0 - vX_[6558];
+ vX_[6579] = 0 - vX_[6560];
+ vX_[6580] = 0 - vX_[6562];
+ vX_[6581] = 0 - vX_[6564];
+ vX_[6582] = 0 - vX_[6566];
+ vX_[6583] = 0 - vX_[6571];
+ vX_[6584] = 0 - vX_[6562];
+ vX_[6585] = 0 - vX_[6564];
+ vX_[6586] = 0 - vX_[6566];
+ vX_[6587] = vX_[6584] * vX_[391] + vX_[6585] * vX_[1704] + vX_[6586] * vX_[1708];
+ vX_[6588] = vX_[6578] * vX_[1749] + vX_[6579] * vX_[1752] + vX_[6580] * vX_[1893] + vX_[6581] * vX_[1899] +
+ vX_[6582] * vX_[1904] + vX_[6583] * vX_[1911] + vX_[6587] * vX_[1761];
+ vX_[6589] = vX_[6588] * vX_[1923];
+ vX_[6590] = 0 - vX_[6577] - vX_[6589];
+ vX_[6591] = vX_[6576] * vX_[1919];
+ vX_[6592] = 0 - vX_[6547];
+ vX_[6593] = 0 - vX_[6558];
+ vX_[6594] = 0 - vX_[6560];
+ vX_[6595] = 0 - vX_[6562];
+ vX_[6596] = 0 - vX_[6564];
+ vX_[6597] = 0 - vX_[6566];
+ vX_[6598] = 0 - vX_[6587];
+ vX_[6599] = vX_[6592] * vX_[1940] + vX_[6593] * vX_[1737] + vX_[6594] * vX_[1742] + vX_[6595] * vX_[1947] +
+ vX_[6596] * vX_[1955] + vX_[6597] * vX_[1963] + vX_[6598] * vX_[1747] + vX_[6574] * vX_[1911];
+ vX_[6600] = vX_[6599] * vX_[1887];
+ vX_[6601] = vX_[6591] + vX_[6600];
+ vX_[6602] = vX_[6588] * vX_[1919];
+ vX_[6603] = vX_[6599] * vX_[1923];
+ vX_[6604] = vX_[6602] + vX_[6603];
+ vX_[6605] = vX_[6588] * vX_[1887];
+ vX_[6606] = vX_[6576] * vX_[1923];
+ vX_[6607] = vX_[6605] - vX_[6606];
+ vX_[6590] = vX_[6590] * vX_[1938] +
+ (vX_[6590] * vX_[1937] + vX_[6601] * vX_[1970] + vX_[6604] * vX_[1974] + vX_[6607] * vX_[1978]) * 2.;
+ vX_[6603] = 0 - vX_[6602] + vX_[6603];
+ vX_[6600] = vX_[6591] - vX_[6600];
+ vX_[6607] = vX_[6607] * vX_[1938] + vX_[6603] * vX_[1971] + vX_[6600] * vX_[1829];
+ vX_[6591] = 0 - vX_[6607];
+ vX_[6602] = vX_[6590] * vX_[1936] + vX_[6591] * vX_[1932];
+ vX_[6608] = vX_[6599] * vX_[1919];
+ vX_[6589] = 0 - vX_[6608] - vX_[6589];
+ vX_[6606] = vX_[6605] + vX_[6606];
+ vX_[6589] = vX_[6601] * vX_[1938] + vX_[6589] * vX_[1971] +
+ (vX_[6589] * vX_[1970] + vX_[6606] * vX_[1974] + vX_[6603] * vX_[1978]) * 2.;
+ vX_[6603] = 0 - vX_[6589];
+ vX_[6608] = 0 - vX_[6608] - vX_[6577];
+ vX_[6608] = vX_[6604] * vX_[1938] + vX_[6606] * vX_[1971] + vX_[6608] * vX_[1829] +
+ (vX_[6608] * vX_[1974] + vX_[6600] * vX_[1978]) * 2.;
+ vX_[6606] = vX_[6603] * vX_[1932] + vX_[6608] * vX_[1936];
+ vX_[6600] = vX_[6589] * vX_[1936] + vX_[6608] * vX_[1932];
+ vX_[6604] = vX_[6590] * vX_[1932] + vX_[6607] * vX_[1936];
+ vX_[6577] = vX_[6380] * vX_[1982] + vX_[6357] * vX_[1985] + vX_[6369] * vX_[1988];
+ vX_[6601] = vX_[6577] * vX_[950] * -1000.;
+ vX_[6605] = vX_[6601] * vX_[872];
+ vX_[6609] = vX_[6380] * vX_[1994] + vX_[6357] * vX_[1987] + vX_[6369] * vX_[1983];
+ vX_[6610] = vX_[6609] * vX_[950] * -1000.;
+ vX_[6611] = vX_[6610] * vX_[891];
+ vX_[6612] = 0 - vX_[6605] - vX_[6611];
+ vX_[6380] = vX_[6380] * vX_[1986] + vX_[6357] * vX_[1975] + vX_[6369] * vX_[1993];
+ vX_[6369] = vX_[6380] * vX_[950] * -1000.;
+ vX_[6357] = vX_[6369] * vX_[872];
+ vX_[6613] = vX_[6601] * vX_[909];
+ vX_[6614] = vX_[6357] + vX_[6613];
+ vX_[6615] = vX_[6369] * vX_[891];
+ vX_[6616] = vX_[6610] * vX_[909];
+ vX_[6617] = vX_[6615] + vX_[6616];
+ vX_[6618] = vX_[6601] * vX_[891];
+ vX_[6619] = vX_[6610] * vX_[872];
+ vX_[6620] = vX_[6618] - vX_[6619];
+ vX_[6612] = vX_[6612] * vX_[838] +
+ (vX_[6612] * vX_[837] + vX_[6614] * vX_[873] + vX_[6617] * vX_[842] + vX_[6620] * vX_[876]) * 2.;
+ vX_[6616] = 0 - vX_[6615] + vX_[6616];
+ vX_[6613] = vX_[6357] - vX_[6613];
+ vX_[6620] = vX_[6620] * vX_[838] + vX_[6616] * vX_[874] + vX_[6613] * vX_[843];
+ vX_[6357] = 0 - vX_[6620];
+ vX_[6615] = vX_[6612] * vX_[836] + vX_[6357] * vX_[832];
+ vX_[6621] = vX_[6369] * vX_[909];
+ vX_[6611] = 0 - vX_[6621] - vX_[6611];
+ vX_[6619] = vX_[6618] + vX_[6619];
+ vX_[6611] = vX_[6614] * vX_[838] + vX_[6611] * vX_[874] +
+ (vX_[6611] * vX_[873] + vX_[6619] * vX_[842] + vX_[6616] * vX_[876]) * 2.;
+ vX_[6616] = 0 - vX_[6611];
+ vX_[6621] = 0 - vX_[6621] - vX_[6605];
+ vX_[6621] = vX_[6617] * vX_[838] + vX_[6619] * vX_[874] + vX_[6621] * vX_[843] +
+ (vX_[6621] * vX_[842] + vX_[6613] * vX_[876]) * 2.;
+ vX_[6619] = vX_[6616] * vX_[832] + vX_[6621] * vX_[836];
+ vX_[6613] = vX_[6611] * vX_[836] + vX_[6621] * vX_[832];
+ vX_[6617] = vX_[6612] * vX_[832] + vX_[6620] * vX_[836];
+ vX_[6380] = vX_[6380] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[6380] * vX_[844] + vX_[6577] * vX_[910] + vX_[6609] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[6609] = vX_[6380] * vX_[935];
+ vX_[6577] = vX_[6380] * vX_[939];
+ vX_[6605] = (vX_[6609] * vX_[925] + vX_[6577] * vX_[926]) * 2.;
+ vX_[6614] = 0 - vX_[6577];
+ vX_[6618] = vX_[6614] * vX_[936] + vX_[6609] * vX_[927];
+ vX_[6622] = 0 - vX_[6618];
+ vX_[6623] = vX_[6605] * vX_[921] + vX_[6622] * vX_[917];
+ vX_[6624] = vX_[6380] * vX_[946];
+ vX_[6625] = 0 - vX_[6624];
+ vX_[6625] = vX_[6609] * vX_[922] + vX_[6625] * vX_[936] + (vX_[6625] * vX_[925] + vX_[6614] * vX_[928]) * 2.;
+ vX_[6614] = 0 - vX_[6625];
+ vX_[6624] = 0 - vX_[6624];
+ vX_[6624] = vX_[6577] * vX_[922] + vX_[6624] * vX_[927] + (vX_[6624] * vX_[926] + vX_[6609] * vX_[928]) * 2.;
+ vX_[6577] = vX_[6614] * vX_[917] + vX_[6624] * vX_[921];
+ vX_[6609] = vX_[6625] * vX_[921] + vX_[6624] * vX_[917];
+ vX_[6626] = vX_[6605] * vX_[917] + vX_[6618] * vX_[921];
+ vX_[6627] = vX_[6453] * vX_[2014] + vX_[6430] * vX_[2017] + vX_[6442] * vX_[2020];
+ vX_[6628] = vX_[6627] * vX_[1261] * -1000.;
+ vX_[6629] = vX_[6628] * vX_[1189];
+ vX_[6630] = vX_[6453] * vX_[2026] + vX_[6430] * vX_[2019] + vX_[6442] * vX_[2015];
+ vX_[6631] = vX_[6630] * vX_[1261] * -1000.;
+ vX_[6632] = vX_[6631] * vX_[1207];
+ vX_[6633] = 0 - vX_[6629] - vX_[6632];
+ vX_[6453] = vX_[6453] * vX_[2018] + vX_[6430] * vX_[2013] + vX_[6442] * vX_[2025];
+ vX_[6442] = vX_[6453] * vX_[1261] * -1000.;
+ vX_[6430] = vX_[6442] * vX_[1189];
+ vX_[6634] = vX_[6628] * vX_[1226];
+ vX_[6635] = vX_[6430] + vX_[6634];
+ vX_[6636] = vX_[6442] * vX_[1207];
+ vX_[6637] = vX_[6631] * vX_[1226];
+ vX_[6638] = vX_[6636] + vX_[6637];
+ vX_[6639] = vX_[6628] * vX_[1207];
+ vX_[6640] = vX_[6631] * vX_[1189];
+ vX_[6641] = vX_[6639] - vX_[6640];
+ vX_[6633] = vX_[6633] * vX_[1152] +
+ (vX_[6633] * vX_[1151] + vX_[6635] * vX_[1190] + vX_[6638] * vX_[1156] + vX_[6641] * vX_[1193]) * 2.;
+ vX_[6637] = 0 - vX_[6636] + vX_[6637];
+ vX_[6634] = vX_[6430] - vX_[6634];
+ vX_[6641] = vX_[6641] * vX_[1152] + vX_[6637] * vX_[1191] + vX_[6634] * vX_[1157];
+ vX_[6430] = 0 - vX_[6641];
+ vX_[6636] = vX_[6633] * vX_[1150] + vX_[6430] * vX_[1146];
+ vX_[6642] = vX_[6442] * vX_[1226];
+ vX_[6632] = 0 - vX_[6642] - vX_[6632];
+ vX_[6640] = vX_[6639] + vX_[6640];
+ vX_[6632] = vX_[6635] * vX_[1152] + vX_[6632] * vX_[1191] +
+ (vX_[6632] * vX_[1190] + vX_[6640] * vX_[1156] + vX_[6637] * vX_[1193]) * 2.;
+ vX_[6637] = 0 - vX_[6632];
+ vX_[6642] = 0 - vX_[6642] - vX_[6629];
+ vX_[6642] = vX_[6638] * vX_[1152] + vX_[6640] * vX_[1191] + vX_[6642] * vX_[1157] +
+ (vX_[6642] * vX_[1156] + vX_[6634] * vX_[1193]) * 2.;
+ vX_[6640] = vX_[6637] * vX_[1146] + vX_[6642] * vX_[1150];
+ vX_[6634] = vX_[6632] * vX_[1150] + vX_[6642] * vX_[1146];
+ vX_[6638] = vX_[6633] * vX_[1146] + vX_[6641] * vX_[1150];
+ vX_[6453] =
+ vX_[6453] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[6453] * vX_[1158] + vX_[6627] * vX_[1227] + vX_[6630] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[6630] = vX_[6453] * vX_[1250];
+ vX_[6627] = vX_[6453] * vX_[1181];
+ vX_[6629] = (vX_[6630] * vX_[1242] + vX_[6627] * vX_[1243]) * 2.;
+ vX_[6635] = 0 - vX_[6627];
+ vX_[6639] = vX_[6635] * vX_[1251] + vX_[6630] * vX_[1244];
+ vX_[6643] = 0 - vX_[6639];
+ vX_[6644] = vX_[6629] * vX_[1238] + vX_[6643] * vX_[1234];
+ vX_[6645] = vX_[6453] * vX_[1257];
+ vX_[6646] = 0 - vX_[6645];
+ vX_[6646] = vX_[6630] * vX_[1239] + vX_[6646] * vX_[1251] + (vX_[6646] * vX_[1242] + vX_[6635] * vX_[1245]) * 2.;
+ vX_[6635] = 0 - vX_[6646];
+ vX_[6645] = 0 - vX_[6645];
+ vX_[6645] = vX_[6627] * vX_[1239] + vX_[6645] * vX_[1244] + (vX_[6645] * vX_[1243] + vX_[6630] * vX_[1245]) * 2.;
+ vX_[6627] = vX_[6635] * vX_[1234] + vX_[6645] * vX_[1238];
+ vX_[6630] = vX_[6646] * vX_[1238] + vX_[6645] * vX_[1234];
+ vX_[6647] = vX_[6629] * vX_[1234] + vX_[6639] * vX_[1238];
+ vX_[6648] = vX_[6526] * vX_[2046] + vX_[6503] * vX_[2049] + vX_[6515] * vX_[2052];
+ vX_[6649] = vX_[6648] * vX_[1573] * -1000.;
+ vX_[6650] = vX_[6649] * vX_[1499];
+ vX_[6651] = vX_[6526] * vX_[2058] + vX_[6503] * vX_[2051] + vX_[6515] * vX_[2047];
+ vX_[6652] = vX_[6651] * vX_[1573] * -1000.;
+ vX_[6653] = vX_[6652] * vX_[1518];
+ vX_[6654] = 0 - vX_[6650] - vX_[6653];
+ vX_[6526] = vX_[6526] * vX_[2050] + vX_[6503] * vX_[2045] + vX_[6515] * vX_[2057];
+ vX_[6515] = vX_[6526] * vX_[1573] * -1000.;
+ vX_[6503] = vX_[6515] * vX_[1499];
+ vX_[6655] = vX_[6649] * vX_[1536];
+ vX_[6656] = vX_[6503] + vX_[6655];
+ vX_[6657] = vX_[6515] * vX_[1518];
+ vX_[6658] = vX_[6652] * vX_[1536];
+ vX_[6659] = vX_[6657] + vX_[6658];
+ vX_[6660] = vX_[6649] * vX_[1518];
+ vX_[6661] = vX_[6652] * vX_[1499];
+ vX_[6662] = vX_[6660] - vX_[6661];
+ vX_[6654] = vX_[6654] * vX_[1463] +
+ (vX_[6654] * vX_[1462] + vX_[6656] * vX_[1500] + vX_[6659] * vX_[1467] + vX_[6662] * vX_[1503]) * 2.;
+ vX_[6658] = 0 - vX_[6657] + vX_[6658];
+ vX_[6655] = vX_[6503] - vX_[6655];
+ vX_[6662] = vX_[6662] * vX_[1463] + vX_[6658] * vX_[1501] + vX_[6655] * vX_[1468];
+ vX_[6503] = 0 - vX_[6662];
+ vX_[6657] = vX_[6654] * vX_[1461] + vX_[6503] * vX_[1457];
+ vX_[6663] = vX_[6515] * vX_[1536];
+ vX_[6653] = 0 - vX_[6663] - vX_[6653];
+ vX_[6661] = vX_[6660] + vX_[6661];
+ vX_[6653] = vX_[6656] * vX_[1463] + vX_[6653] * vX_[1501] +
+ (vX_[6653] * vX_[1500] + vX_[6661] * vX_[1467] + vX_[6658] * vX_[1503]) * 2.;
+ vX_[6658] = 0 - vX_[6653];
+ vX_[6663] = 0 - vX_[6663] - vX_[6650];
+ vX_[6663] = vX_[6659] * vX_[1463] + vX_[6661] * vX_[1501] + vX_[6663] * vX_[1468] +
+ (vX_[6663] * vX_[1467] + vX_[6655] * vX_[1503]) * 2.;
+ vX_[6661] = vX_[6658] * vX_[1457] + vX_[6663] * vX_[1461];
+ vX_[6655] = vX_[6653] * vX_[1461] + vX_[6663] * vX_[1457];
+ vX_[6659] = vX_[6654] * vX_[1457] + vX_[6662] * vX_[1461];
+ vX_[6526] =
+ vX_[6526] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[6526] * vX_[1469] + vX_[6648] * vX_[1537] + vX_[6651] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[6651] = vX_[6526] * vX_[1560];
+ vX_[6648] = vX_[6526] * vX_[1491];
+ vX_[6650] = (vX_[6651] * vX_[1552] + vX_[6648] * vX_[1553]) * 2.;
+ vX_[6656] = 0 - vX_[6648];
+ vX_[6660] = vX_[6656] * vX_[1561] + vX_[6651] * vX_[1554];
+ vX_[6664] = 0 - vX_[6660];
+ vX_[6665] = vX_[6650] * vX_[1548] + vX_[6664] * vX_[1544];
+ vX_[6666] = vX_[6526] * vX_[1569];
+ vX_[6667] = 0 - vX_[6666];
+ vX_[6667] = vX_[6651] * vX_[1549] + vX_[6667] * vX_[1561] + (vX_[6667] * vX_[1552] + vX_[6656] * vX_[1555]) * 2.;
+ vX_[6656] = 0 - vX_[6667];
+ vX_[6666] = 0 - vX_[6666];
+ vX_[6666] = vX_[6648] * vX_[1549] + vX_[6666] * vX_[1554] + (vX_[6666] * vX_[1553] + vX_[6651] * vX_[1555]) * 2.;
+ vX_[6648] = vX_[6656] * vX_[1544] + vX_[6666] * vX_[1548];
+ vX_[6651] = vX_[6667] * vX_[1548] + vX_[6666] * vX_[1544];
+ vX_[6668] = vX_[6650] * vX_[1544] + vX_[6660] * vX_[1548];
+ vX_[6669] = vX_[6599] * vX_[2078] + vX_[6576] * vX_[2081] + vX_[6588] * vX_[2084];
+ vX_[6670] = vX_[6669] * vX_[1886] * -1000.;
+ vX_[6671] = vX_[6670] * vX_[1809];
+ vX_[6672] = vX_[6599] * vX_[2090] + vX_[6576] * vX_[2083] + vX_[6588] * vX_[2079];
+ vX_[6673] = vX_[6672] * vX_[1886] * -1000.;
+ vX_[6674] = vX_[6673] * vX_[1828];
+ vX_[6675] = 0 - vX_[6671] - vX_[6674];
+ vX_[6599] = vX_[6599] * vX_[2082] + vX_[6576] * vX_[2077] + vX_[6588] * vX_[2089];
+ vX_[6588] = vX_[6599] * vX_[1886] * -1000.;
+ vX_[6576] = vX_[6588] * vX_[1809];
+ vX_[6676] = vX_[6670] * vX_[1846];
+ vX_[6677] = vX_[6576] + vX_[6676];
+ vX_[6678] = vX_[6588] * vX_[1828];
+ vX_[6679] = vX_[6673] * vX_[1846];
+ vX_[6680] = vX_[6678] + vX_[6679];
+ vX_[6681] = vX_[6670] * vX_[1828];
+ vX_[6682] = vX_[6673] * vX_[1809];
+ vX_[6683] = vX_[6681] - vX_[6682];
+ vX_[6675] = vX_[6675] * vX_[1775] +
+ (vX_[6675] * vX_[1774] + vX_[6677] * vX_[1810] + vX_[6680] * vX_[1779] + vX_[6683] * vX_[1813]) * 2.;
+ vX_[6679] = 0 - vX_[6678] + vX_[6679];
+ vX_[6676] = vX_[6576] - vX_[6676];
+ vX_[6683] = vX_[6683] * vX_[1775] + vX_[6679] * vX_[1811] + vX_[6676] * vX_[1780];
+ vX_[6576] = 0 - vX_[6683];
+ vX_[6678] = vX_[6675] * vX_[1773] + vX_[6576] * vX_[1769];
+ vX_[6684] = vX_[6588] * vX_[1846];
+ vX_[6674] = 0 - vX_[6684] - vX_[6674];
+ vX_[6682] = vX_[6681] + vX_[6682];
+ vX_[6674] = vX_[6677] * vX_[1775] + vX_[6674] * vX_[1811] +
+ (vX_[6674] * vX_[1810] + vX_[6682] * vX_[1779] + vX_[6679] * vX_[1813]) * 2.;
+ vX_[6679] = 0 - vX_[6674];
+ vX_[6684] = 0 - vX_[6684] - vX_[6671];
+ vX_[6684] = vX_[6680] * vX_[1775] + vX_[6682] * vX_[1811] + vX_[6684] * vX_[1780] +
+ (vX_[6684] * vX_[1779] + vX_[6676] * vX_[1813]) * 2.;
+ vX_[6682] = vX_[6679] * vX_[1769] + vX_[6684] * vX_[1773];
+ vX_[6676] = vX_[6674] * vX_[1773] + vX_[6684] * vX_[1769];
+ vX_[6680] = vX_[6675] * vX_[1769] + vX_[6683] * vX_[1773];
+ vX_[6599] =
+ vX_[6599] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[6599] * vX_[1781] + vX_[6669] * vX_[1847] + vX_[6672] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[209] = vX_[6380] + vX_[6453] + vX_[6526] + vX_[6599];
+ vX_[6672] = vX_[6599] * vX_[1870];
+ vX_[6669] = vX_[6599] * vX_[1875];
+ vX_[6671] = (vX_[6672] * vX_[1862] + vX_[6669] * vX_[1863]) * 2.;
+ vX_[6677] = 0 - vX_[6669];
+ vX_[6681] = vX_[6677] * vX_[1871] + vX_[6672] * vX_[1864];
+ vX_[6685] = 0 - vX_[6681];
+ vX_[6686] = vX_[6671] * vX_[1858] + vX_[6685] * vX_[1854];
+ vX_[6687] = vX_[6599] * vX_[1882];
+ vX_[6688] = 0 - vX_[6687];
+ vX_[6688] = vX_[6672] * vX_[1859] + vX_[6688] * vX_[1871] + (vX_[6688] * vX_[1862] + vX_[6677] * vX_[1865]) * 2.;
+ vX_[6677] = 0 - vX_[6688];
+ vX_[6687] = 0 - vX_[6687];
+ vX_[6687] = vX_[6669] * vX_[1859] + vX_[6687] * vX_[1864] + (vX_[6687] * vX_[1863] + vX_[6672] * vX_[1865]) * 2.;
+ vX_[6669] = vX_[6677] * vX_[1854] + vX_[6687] * vX_[1858];
+ vX_[6672] = vX_[6688] * vX_[1858] + vX_[6687] * vX_[1854];
+ vX_[6689] = vX_[6671] * vX_[1854] + vX_[6681] * vX_[1858];
+ jac[29] = ((vX_[6383] * vX_[999] + vX_[6387] * vX_[994]) * vX_[1029] -
+ (vX_[6381] * vX_[999] + vX_[6385] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[6456] * vX_[1308] + vX_[6460] * vX_[1303]) * vX_[1340] -
+ (vX_[6454] * vX_[1308] + vX_[6458] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[6529] * vX_[1620] + vX_[6533] * vX_[1615]) * vX_[1650] -
+ (vX_[6527] * vX_[1620] + vX_[6531] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[6602] * vX_[1934] + vX_[6606] * vX_[1929]) * vX_[1966] -
+ (vX_[6600] * vX_[1934] + vX_[6604] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[6615] * vX_[834] + vX_[6619] * vX_[829]) * vX_[1992] -
+ (vX_[6613] * vX_[834] + vX_[6617] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[6623] * vX_[919] + vX_[6577] * vX_[914]) * vX_[1995] -
+ (vX_[6609] * vX_[919] + vX_[6626] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[6636] * vX_[1148] + vX_[6640] * vX_[1143]) * vX_[2024] -
+ (vX_[6634] * vX_[1148] + vX_[6638] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[6644] * vX_[1236] + vX_[6627] * vX_[1231]) * vX_[2027] -
+ (vX_[6630] * vX_[1236] + vX_[6647] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[6657] * vX_[1459] + vX_[6661] * vX_[1454]) * vX_[2056] -
+ (vX_[6655] * vX_[1459] + vX_[6659] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[6665] * vX_[1546] + vX_[6648] * vX_[1541]) * vX_[2059] -
+ (vX_[6651] * vX_[1546] + vX_[6668] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[6678] * vX_[1771] + vX_[6682] * vX_[1766]) * vX_[2088] -
+ (vX_[6676] * vX_[1771] + vX_[6680] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[6686] * vX_[1856] + vX_[6669] * vX_[1851]) * vX_[2091] -
+ (vX_[6672] * vX_[1856] + vX_[6689] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[6690] = 1 / vX_[232];
+ vX_[6691] = 0 - vX_[6690];
+ vX_[6692] = vX_[6691] * vX_[206];
+ vX_[6693] = 0 - vX_[6690];
+ vX_[6694] = vX_[6693] * vX_[196];
+ vX_[6695] = 0 - vX_[6690];
+ vX_[6696] = vX_[6692] * vX_[1038] + vX_[6694] * vX_[164] + vX_[6695] * vX_[232] * -1;
+ vX_[6697] = 0 - vX_[6690];
+ vX_[6698] = vX_[6697] * vX_[258];
+ vX_[6699] = 0 - vX_[6690];
+ vX_[6700] = vX_[6699] * vX_[267];
+ vX_[6701] = 0 - (vX_[6692] * vX_[248] + vX_[6694] * vX_[1053] + vX_[6698] * vX_[249] + vX_[6700] * vX_[247]) +
+ vX_[6696] * vX_[637];
+ vX_[6702] = 0 - vX_[6701];
+ vX_[6703] = 0 - vX_[6690];
+ vX_[6704] = vX_[6703] * vX_[244];
+ vX_[6705] = 0 - vX_[6701];
+ vX_[6706] = 0 - (vX_[6704] * 0.207 + vX_[6692] * vX_[250] + vX_[6694] * vX_[1052] + vX_[6698] * vX_[235] +
+ vX_[6700] * vX_[249]) +
+ vX_[6696] * vX_[624] + vX_[6705] * vX_[668];
+ vX_[6707] = 0 - vX_[6706];
+ vX_[6708] = 0 - vX_[6701];
+ vX_[6709] = 0 - vX_[6706];
+ vX_[6704] = 0 - vX_[6704] * -1 + vX_[6696] * vX_[590] + vX_[6708] * vX_[666] + vX_[6709] * vX_[664];
+ vX_[6710] = 0 - vX_[6704];
+ vX_[6711] = 0 - vX_[6701];
+ vX_[6712] = 0 - vX_[6706];
+ vX_[6713] = 0 - vX_[6704];
+ vX_[6714] = 0 - (vX_[6692] * vX_[1030] + vX_[6694] * vX_[1051]) + vX_[6696] * vX_[723] + vX_[6711] * vX_[725] +
+ vX_[6712] * vX_[731] + vX_[6713] * vX_[737];
+ vX_[6715] = 0 - vX_[6714];
+ vX_[6716] = (0 - (vX_[6692] * vX_[235] + vX_[6694] * vX_[1050]) + vX_[6696] * vX_[620] + vX_[6702] * vX_[602] +
+ vX_[6707] * vX_[604] + vX_[6710] * vX_[722] + vX_[6715] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[6717] = 0 - vX_[6716];
+ vX_[6714] = (vX_[6714] + vX_[6717] * vX_[743]) * 1 / vX_[718];
+ vX_[6718] = 0 - vX_[6716];
+ vX_[6719] = 0 - vX_[6714];
+ vX_[6720] = 0 - vX_[6716];
+ vX_[6721] = 0 - vX_[6714];
+ vX_[6704] = (vX_[6704] + vX_[6720] * vX_[689] + vX_[6721] * vX_[736]) * 1 / vX_[721];
+ vX_[6722] = 0 - vX_[6704];
+ vX_[6706] = (vX_[6706] + vX_[6718] * vX_[682] + vX_[6719] * vX_[730] + vX_[6722] * vX_[509]) * 1 / vX_[618];
+ vX_[6723] = 0 - vX_[6716];
+ vX_[6724] = 0 - vX_[6714];
+ vX_[6725] = 0 - vX_[6704];
+ vX_[6726] = 0 - vX_[6706];
+ vX_[6701] =
+ (vX_[6701] + vX_[6723] * vX_[662] + vX_[6724] * vX_[633] + vX_[6725] * vX_[691] + vX_[6726] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[6727] = 0 - vX_[6716];
+ vX_[6728] = 0 - vX_[6714];
+ vX_[6729] = 0 - vX_[6704];
+ vX_[6730] = 0 - vX_[6706];
+ vX_[6731] = 0 - vX_[6701];
+ vX_[6732] = (0 - vX_[6696] + vX_[6727] * vX_[510] + vX_[6728] * vX_[518] + vX_[6729] * vX_[690] +
+ vX_[6730] * vX_[628] + vX_[6731] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6733] =
+ vX_[6716] * vX_[126] + vX_[6714] * vX_[1] + vX_[6706] * vX_[140] + vX_[6701] * vX_[138] + vX_[6732] * vX_[706];
+ vX_[6734] = vX_[6704] + vX_[6706] * 0.207;
+ vX_[6735] = vX_[6734] * 1 / vX_[123];
+ vX_[6736] = vX_[6733] * 1 / vX_[123];
+ vX_[6737] =
+ vX_[6716] * vX_[729] + vX_[6714] * vX_[126] + vX_[6706] * vX_[728] + vX_[6701] * vX_[727] + vX_[6732] * vX_[27];
+ vX_[6738] = vX_[6737] * 1 / vX_[123];
+ vX_[6739] = vX_[6732] * 1 / vX_[123];
+ vX_[6740] = vX_[6706] * vX_[126] + vX_[6701] * vX_[1];
+ vX_[6741] = vX_[6740] * 1 / vX_[123];
+ vX_[6742] = vX_[6706] * vX_[139] + vX_[6701] * vX_[126];
+ vX_[6743] = vX_[6742] * 1 / vX_[123];
+ vX_[6744] = vX_[6732] - (vX_[6735] * vX_[135] + vX_[6736] * vX_[97] + vX_[6738] * vX_[88] + vX_[6739] * vX_[123] +
+ vX_[6741] * vX_[148] + vX_[6743] * vX_[157]);
+ vX_[6745] = vX_[6733] + vX_[6744] * 0.08;
+ vX_[6746] = vX_[6744] * vX_[76] + vX_[6742] * vX_[4];
+ vX_[6747] = vX_[6745] + vX_[6746] * -0.35;
+ vX_[6748] = 0 - vX_[6747];
+ vX_[6749] = vX_[6734] * vX_[750] + vX_[6737] * vX_[751] + vX_[6740] * vX_[752];
+ vX_[6750] = vX_[6734] * vX_[754] + vX_[6737] * vX_[75] + vX_[6740] * vX_[93];
+ vX_[6751] = vX_[6749] * 1 / vX_[72];
+ vX_[6752] = vX_[6750] * 1 / vX_[72];
+ vX_[6753] = vX_[6740] * 1 / vX_[72];
+ vX_[6754] = vX_[6746] * 1 / vX_[72];
+ vX_[6755] = vX_[6744] * vX_[4] + vX_[6742] * vX_[75];
+ vX_[6756] = vX_[6755] * 1 / vX_[72];
+ vX_[6757] = vX_[6740] - (vX_[6751] * vX_[83] + vX_[6752] * vX_[70] + vX_[6753] * vX_[72] + vX_[6754] * vX_[79] +
+ vX_[6756] * vX_[60]);
+ vX_[6758] = vX_[6749] * vX_[7] + vX_[6750] * vX_[756] + vX_[6757] * vX_[764];
+ vX_[6759] = 0 - vX_[6758];
+ vX_[6760] = vX_[6749] * vX_[51] + vX_[6750] * vX_[7] + vX_[6757] * vX_[54];
+ vX_[6761] = 0 - vX_[6760];
+ vX_[6762] = vX_[6757] - (vX_[6758] * 38.1956380581338 * 0.1104774 + vX_[6760] * 38.1956380581338 * 0.0004405 +
+ vX_[6757] * 38.1956380581338 * 0.026181);
+ vX_[6763] = 0 - vX_[6762];
+ vX_[6764] = vX_[6746] * vX_[7] + vX_[6755] * vX_[52];
+ vX_[6765] = 0 - vX_[6764];
+ vX_[6766] = vX_[6746] * vX_[51] + vX_[6755] * vX_[7];
+ vX_[6767] = 0 - vX_[6766];
+ vX_[6768] = 0 - vX_[6762];
+ vX_[6769] = 0 - vX_[6764];
+ vX_[6770] = 0 - vX_[6766];
+ vX_[6771] = vX_[6768] * vX_[126] + vX_[6769] * vX_[803] + vX_[6770] * vX_[806];
+ vX_[6772] = 0 - vX_[6764];
+ vX_[6773] = 0 - vX_[6766];
+ vX_[6774] = vX_[6772] * vX_[812] + vX_[6773] * vX_[816];
+ vX_[6775] = 0 - vX_[6774];
+ vX_[6776] = vX_[6748] * vX_[1] + vX_[6759] * vX_[771] + vX_[6761] * vX_[776] + vX_[6763] * vX_[780] +
+ vX_[6765] * vX_[789] + vX_[6767] * vX_[797] + vX_[6771] * vX_[810] + vX_[6775] * vX_[824];
+ vX_[6777] = vX_[6776] * vX_[951];
+ vX_[6778] = 0 - vX_[6758];
+ vX_[6779] = 0 - vX_[6760];
+ vX_[6780] = 0 - vX_[6762];
+ vX_[6781] = 0 - vX_[6764];
+ vX_[6782] = 0 - vX_[6766];
+ vX_[6783] = 0 - vX_[6771];
+ vX_[6784] = 0 - vX_[6762];
+ vX_[6785] = 0 - vX_[6764];
+ vX_[6786] = 0 - vX_[6766];
+ vX_[6787] = vX_[6784] * vX_[1] + vX_[6785] * vX_[770] + vX_[6786] * vX_[775];
+ vX_[6788] = vX_[6778] * vX_[812] + vX_[6779] * vX_[815] + vX_[6780] * vX_[957] + vX_[6781] * vX_[963] +
+ vX_[6782] * vX_[968] + vX_[6783] * vX_[975] + vX_[6787] * vX_[824];
+ vX_[6789] = vX_[6788] * vX_[988];
+ vX_[6790] = 0 - vX_[6777] - vX_[6789];
+ vX_[6791] = vX_[6776] * vX_[984];
+ vX_[6792] = 0 - vX_[6747];
+ vX_[6793] = 0 - vX_[6758];
+ vX_[6794] = 0 - vX_[6760];
+ vX_[6795] = 0 - vX_[6762];
+ vX_[6796] = 0 - vX_[6764];
+ vX_[6797] = 0 - vX_[6766];
+ vX_[6798] = 0 - vX_[6787];
+ vX_[6799] = vX_[6792] * vX_[126] + vX_[6793] * vX_[801] + vX_[6794] * vX_[805] + vX_[6795] * vX_[1010] +
+ vX_[6796] * vX_[1018] + vX_[6797] * vX_[1026] + vX_[6798] * vX_[810] + vX_[6774] * vX_[975];
+ vX_[6800] = vX_[6799] * vX_[951];
+ vX_[6801] = vX_[6791] + vX_[6800];
+ vX_[6802] = vX_[6788] * vX_[984];
+ vX_[6803] = vX_[6799] * vX_[988];
+ vX_[6804] = vX_[6802] + vX_[6803];
+ vX_[6805] = vX_[6788] * vX_[951];
+ vX_[6806] = vX_[6776] * vX_[988];
+ vX_[6807] = vX_[6805] - vX_[6806];
+ vX_[6790] = vX_[6790] * vX_[1003] +
+ (vX_[6790] * vX_[1002] + vX_[6801] * vX_[1033] + vX_[6804] * vX_[1037] + vX_[6807] * vX_[1041]) * 2.;
+ vX_[6803] = 0 - vX_[6802] + vX_[6803];
+ vX_[6800] = vX_[6791] - vX_[6800];
+ vX_[6807] = vX_[6807] * vX_[1003] + vX_[6803] * vX_[1034] + vX_[6800] * vX_[892];
+ vX_[6791] = 0 - vX_[6807];
+ vX_[6802] = vX_[6790] * vX_[1001] + vX_[6791] * vX_[997];
+ vX_[6808] = vX_[6799] * vX_[984];
+ vX_[6789] = 0 - vX_[6808] - vX_[6789];
+ vX_[6806] = vX_[6805] + vX_[6806];
+ vX_[6789] = vX_[6801] * vX_[1003] + vX_[6789] * vX_[1034] +
+ (vX_[6789] * vX_[1033] + vX_[6806] * vX_[1037] + vX_[6803] * vX_[1041]) * 2.;
+ vX_[6803] = 0 - vX_[6789];
+ vX_[6808] = 0 - vX_[6808] - vX_[6777];
+ vX_[6808] = vX_[6804] * vX_[1003] + vX_[6806] * vX_[1034] + vX_[6808] * vX_[892] +
+ (vX_[6808] * vX_[1037] + vX_[6800] * vX_[1041]) * 2.;
+ vX_[6806] = vX_[6803] * vX_[997] + vX_[6808] * vX_[1001];
+ vX_[6800] = vX_[6789] * vX_[1001] + vX_[6808] * vX_[997];
+ vX_[6804] = vX_[6790] * vX_[997] + vX_[6807] * vX_[1001];
+ vX_[6777] = vX_[6716] * vX_[235] + vX_[6714] * vX_[1030] + vX_[6706] * vX_[250] + vX_[6701] * vX_[248] +
+ vX_[6732] * vX_[1038];
+ vX_[6801] = vX_[6732] * -1;
+ vX_[6805] = vX_[6704] * -1 + vX_[6706] * 0.207;
+ vX_[6809] = vX_[6805] * 1 / vX_[232];
+ vX_[6810] = vX_[6777] * 1 / vX_[232];
+ vX_[6811] = vX_[6716] * vX_[1050] + vX_[6714] * vX_[1051] + vX_[6706] * vX_[1052] + vX_[6701] * vX_[1053] +
+ vX_[6732] * vX_[164];
+ vX_[6812] = vX_[6811] * 1 / vX_[232];
+ vX_[6813] = vX_[6801] * 1 / vX_[232];
+ vX_[6814] = vX_[6706] * vX_[235] + vX_[6701] * vX_[249];
+ vX_[6815] = vX_[6814] * 1 / vX_[232];
+ vX_[6816] = vX_[6706] * vX_[249] + vX_[6701] * vX_[247];
+ vX_[6817] = vX_[6816] * 1 / vX_[232];
+ vX_[6801] = vX_[6801] - (vX_[6690] + vX_[6809] * vX_[244] + vX_[6810] * vX_[206] + vX_[6812] * vX_[196] +
+ vX_[6813] * vX_[232] + vX_[6815] * vX_[258] + vX_[6817] * vX_[267]);
+ vX_[6818] = vX_[6777] * -1 + vX_[6801] * -0.08;
+ vX_[6819] = vX_[6801] * vX_[186] + vX_[6816] * vX_[195];
+ vX_[6820] = vX_[6818] + vX_[6819] * -0.35;
+ vX_[6821] = 0 - vX_[6820];
+ vX_[6822] = vX_[6805] * vX_[186] + vX_[6811] * vX_[1065] + vX_[6814] * vX_[1066];
+ vX_[6823] = vX_[6805] * vX_[166] + vX_[6811] * vX_[186] + vX_[6814] * vX_[201];
+ vX_[6824] = vX_[6814] * -1;
+ vX_[6825] = vX_[6822] * 1 / vX_[183];
+ vX_[6826] = vX_[6823] * 1 / vX_[183];
+ vX_[6827] = vX_[6824] * 1 / vX_[183];
+ vX_[6828] = vX_[6819] * 1 / vX_[183];
+ vX_[6829] = vX_[6801] * vX_[166] + vX_[6816] * vX_[186];
+ vX_[6830] = vX_[6829] * 1 / vX_[183];
+ vX_[6824] = vX_[6824] - (vX_[6825] * vX_[190] + vX_[6826] * vX_[181] + vX_[6827] * vX_[183] + vX_[6828] * 2.1e-05 +
+ vX_[6830] * -0.000102);
+ vX_[6831] = vX_[6822] * vX_[169] + vX_[6823] * vX_[1069] + vX_[6824] * vX_[1077];
+ vX_[6832] = 0 - vX_[6831];
+ vX_[6833] = vX_[6822] * vX_[167] + vX_[6823] * vX_[169] + vX_[6824] * vX_[168];
+ vX_[6834] = 0 - vX_[6833];
+ vX_[6835] = vX_[6824] - (vX_[6831] * 38.1956380581338 * 0.110125 + vX_[6833] * 38.1956380581338 * 0.000881 +
+ vX_[6824] * 38.1956380581338 * 0.026181);
+ vX_[6836] = 0 - vX_[6835];
+ vX_[6837] = vX_[6819] * vX_[169] + vX_[6829] * vX_[175];
+ vX_[6838] = 0 - vX_[6837];
+ vX_[6839] = vX_[6819] * vX_[167] + vX_[6829] * vX_[169];
+ vX_[6840] = 0 - vX_[6839];
+ vX_[6841] = 0 - vX_[6835];
+ vX_[6842] = 0 - vX_[6837];
+ vX_[6843] = 0 - vX_[6839];
+ vX_[6844] = vX_[6841] * vX_[1111] + vX_[6842] * vX_[1116] + vX_[6843] * vX_[1120];
+ vX_[6845] = 0 - vX_[6837];
+ vX_[6846] = 0 - vX_[6839];
+ vX_[6847] = vX_[6845] * vX_[1126] + vX_[6846] * vX_[1130];
+ vX_[6848] = 0 - vX_[6847];
+ vX_[6849] = vX_[6821] * vX_[163] + vX_[6832] * vX_[1083] + vX_[6834] * vX_[1088] + vX_[6836] * vX_[1092] +
+ vX_[6838] * vX_[1101] + vX_[6840] * vX_[1109] + vX_[6844] * vX_[1124] + vX_[6848] * vX_[1138];
+ vX_[6850] = vX_[6849] * vX_[1262];
+ vX_[6851] = 0 - vX_[6831];
+ vX_[6852] = 0 - vX_[6833];
+ vX_[6853] = 0 - vX_[6835];
+ vX_[6854] = 0 - vX_[6837];
+ vX_[6855] = 0 - vX_[6839];
+ vX_[6856] = 0 - vX_[6844];
+ vX_[6857] = 0 - vX_[6835];
+ vX_[6858] = 0 - vX_[6837];
+ vX_[6859] = 0 - vX_[6839];
+ vX_[6860] = vX_[6857] * vX_[163] + vX_[6858] * vX_[1082] + vX_[6859] * vX_[1086];
+ vX_[6861] = vX_[6851] * vX_[1126] + vX_[6852] * vX_[1129] + vX_[6853] * vX_[1268] + vX_[6854] * vX_[1274] +
+ vX_[6855] * vX_[1279] + vX_[6856] * vX_[1219] + vX_[6860] * vX_[1138];
+ vX_[6862] = vX_[6861] * vX_[1297];
+ vX_[6863] = 0 - vX_[6850] - vX_[6862];
+ vX_[6864] = vX_[6849] * vX_[1293];
+ vX_[6865] = 0 - vX_[6820];
+ vX_[6866] = 0 - vX_[6831];
+ vX_[6867] = 0 - vX_[6833];
+ vX_[6868] = 0 - vX_[6835];
+ vX_[6869] = 0 - vX_[6837];
+ vX_[6870] = 0 - vX_[6839];
+ vX_[6871] = 0 - vX_[6860];
+ vX_[6872] = vX_[6865] * vX_[1314] + vX_[6866] * vX_[1114] + vX_[6867] * vX_[1119] + vX_[6868] * vX_[1321] +
+ vX_[6869] * vX_[1329] + vX_[6870] * vX_[1337] + vX_[6871] * vX_[1124] + vX_[6847] * vX_[1219];
+ vX_[6873] = vX_[6872] * vX_[1262];
+ vX_[6874] = vX_[6864] + vX_[6873];
+ vX_[6875] = vX_[6861] * vX_[1293];
+ vX_[6876] = vX_[6872] * vX_[1297];
+ vX_[6877] = vX_[6875] + vX_[6876];
+ vX_[6878] = vX_[6861] * vX_[1262];
+ vX_[6879] = vX_[6849] * vX_[1297];
+ vX_[6880] = vX_[6878] - vX_[6879];
+ vX_[6863] = vX_[6863] * vX_[1312] +
+ (vX_[6863] * vX_[1311] + vX_[6874] * vX_[1344] + vX_[6877] * vX_[1348] + vX_[6880] * vX_[1352]) * 2.;
+ vX_[6876] = 0 - vX_[6875] + vX_[6876];
+ vX_[6873] = vX_[6864] - vX_[6873];
+ vX_[6880] = vX_[6880] * vX_[1312] + vX_[6876] * vX_[1345] + vX_[6873] * vX_[1208];
+ vX_[6864] = 0 - vX_[6880];
+ vX_[6875] = vX_[6863] * vX_[1310] + vX_[6864] * vX_[1306];
+ vX_[6881] = vX_[6872] * vX_[1293];
+ vX_[6862] = 0 - vX_[6881] - vX_[6862];
+ vX_[6879] = vX_[6878] + vX_[6879];
+ vX_[6862] = vX_[6874] * vX_[1312] + vX_[6862] * vX_[1345] +
+ (vX_[6862] * vX_[1344] + vX_[6879] * vX_[1348] + vX_[6876] * vX_[1352]) * 2.;
+ vX_[6876] = 0 - vX_[6862];
+ vX_[6881] = 0 - vX_[6881] - vX_[6850];
+ vX_[6881] = vX_[6877] * vX_[1312] + vX_[6879] * vX_[1345] + vX_[6881] * vX_[1208] +
+ (vX_[6881] * vX_[1348] + vX_[6873] * vX_[1352]) * 2.;
+ vX_[6879] = vX_[6876] * vX_[1306] + vX_[6881] * vX_[1310];
+ vX_[6873] = vX_[6862] * vX_[1310] + vX_[6881] * vX_[1306];
+ vX_[6877] = vX_[6863] * vX_[1306] + vX_[6880] * vX_[1310];
+ vX_[6850] = vX_[6716] * vX_[354] + vX_[6714] * vX_[273] + vX_[6706] * vX_[368] + vX_[6701] * vX_[366] +
+ vX_[6732] * vX_[1341];
+ vX_[6874] = vX_[6704] + vX_[6706] * 0.207;
+ vX_[6878] = vX_[6874] * 1 / vX_[351];
+ vX_[6882] = vX_[6850] * 1 / vX_[351];
+ vX_[6883] = vX_[6716] * vX_[1359] + vX_[6714] * vX_[354] + vX_[6706] * vX_[1360] + vX_[6701] * vX_[1361] +
+ vX_[6732] * vX_[274];
+ vX_[6884] = vX_[6883] * 1 / vX_[351];
+ vX_[6885] = vX_[6732] * 1 / vX_[351];
+ vX_[6886] = vX_[6706] * vX_[354] + vX_[6701] * vX_[273];
+ vX_[6887] = vX_[6886] * 1 / vX_[351];
+ vX_[6888] = vX_[6706] * vX_[367] + vX_[6701] * vX_[354];
+ vX_[6889] = vX_[6888] * 1 / vX_[351];
+ vX_[6890] = vX_[6732] - (vX_[6878] * vX_[363] + vX_[6882] * vX_[325] + vX_[6884] * vX_[316] + vX_[6885] * vX_[351] +
+ vX_[6887] * vX_[376] + vX_[6889] * vX_[385]);
+ vX_[6891] = vX_[6850] + vX_[6890] * 0.08;
+ vX_[6892] = vX_[6890] * vX_[304] + vX_[6888] * vX_[276];
+ vX_[6893] = vX_[6891] + vX_[6892] * -0.35;
+ vX_[6894] = 0 - vX_[6893];
+ vX_[6895] = vX_[6874] * vX_[1374] + vX_[6883] * vX_[1375] + vX_[6886] * vX_[1376];
+ vX_[6896] = vX_[6874] * vX_[1378] + vX_[6883] * vX_[303] + vX_[6886] * vX_[321];
+ vX_[6897] = vX_[6895] * 1 / vX_[300];
+ vX_[6898] = vX_[6896] * 1 / vX_[300];
+ vX_[6899] = vX_[6886] * 1 / vX_[300];
+ vX_[6900] = vX_[6892] * 1 / vX_[300];
+ vX_[6901] = vX_[6890] * vX_[276] + vX_[6888] * vX_[303];
+ vX_[6902] = vX_[6901] * 1 / vX_[300];
+ vX_[6903] = vX_[6886] - (vX_[6897] * vX_[311] + vX_[6898] * vX_[298] + vX_[6899] * vX_[300] + vX_[6900] * vX_[307] +
+ vX_[6902] * vX_[288]);
+ vX_[6904] = vX_[6895] * vX_[277] + vX_[6896] * vX_[1380] + vX_[6903] * vX_[1388];
+ vX_[6905] = 0 - vX_[6904];
+ vX_[6906] = vX_[6895] * vX_[279] + vX_[6896] * vX_[277] + vX_[6903] * vX_[282];
+ vX_[6907] = 0 - vX_[6906];
+ vX_[6908] = vX_[6903] - (vX_[6904] * 38.1956380581338 * 0.1104774 + vX_[6906] * 38.1956380581338 * -0.0004405 +
+ vX_[6903] * 38.1956380581338 * 0.026181);
+ vX_[6909] = 0 - vX_[6908];
+ vX_[6910] = vX_[6892] * vX_[277] + vX_[6901] * vX_[280];
+ vX_[6911] = 0 - vX_[6910];
+ vX_[6912] = vX_[6892] * vX_[279] + vX_[6901] * vX_[277];
+ vX_[6913] = 0 - vX_[6912];
+ vX_[6914] = 0 - vX_[6908];
+ vX_[6915] = 0 - vX_[6910];
+ vX_[6916] = 0 - vX_[6912];
+ vX_[6917] = vX_[6914] * vX_[354] + vX_[6915] * vX_[1428] + vX_[6916] * vX_[1431];
+ vX_[6918] = 0 - vX_[6910];
+ vX_[6919] = 0 - vX_[6912];
+ vX_[6920] = vX_[6918] * vX_[1437] + vX_[6919] * vX_[1441];
+ vX_[6921] = 0 - vX_[6920];
+ vX_[6922] = vX_[6894] * vX_[273] + vX_[6905] * vX_[1395] + vX_[6907] * vX_[1400] + vX_[6909] * vX_[1404] +
+ vX_[6911] * vX_[1413] + vX_[6913] * vX_[1422] + vX_[6917] * vX_[1435] + vX_[6921] * vX_[1449];
+ vX_[6923] = vX_[6922] * vX_[1574];
+ vX_[6924] = 0 - vX_[6904];
+ vX_[6925] = 0 - vX_[6906];
+ vX_[6926] = 0 - vX_[6908];
+ vX_[6927] = 0 - vX_[6910];
+ vX_[6928] = 0 - vX_[6912];
+ vX_[6929] = 0 - vX_[6917];
+ vX_[6930] = 0 - vX_[6908];
+ vX_[6931] = 0 - vX_[6910];
+ vX_[6932] = 0 - vX_[6912];
+ vX_[6933] = vX_[6930] * vX_[273] + vX_[6931] * vX_[1394] + vX_[6932] * vX_[1399];
+ vX_[6934] = vX_[6924] * vX_[1437] + vX_[6925] * vX_[1440] + vX_[6926] * vX_[1580] + vX_[6927] * vX_[1586] +
+ vX_[6928] * vX_[1591] + vX_[6929] * vX_[1596] + vX_[6933] * vX_[1449];
+ vX_[6935] = vX_[6934] * vX_[1609];
+ vX_[6936] = 0 - vX_[6923] - vX_[6935];
+ vX_[6937] = vX_[6922] * vX_[1605];
+ vX_[6938] = 0 - vX_[6893];
+ vX_[6939] = 0 - vX_[6904];
+ vX_[6940] = 0 - vX_[6906];
+ vX_[6941] = 0 - vX_[6908];
+ vX_[6942] = 0 - vX_[6910];
+ vX_[6943] = 0 - vX_[6912];
+ vX_[6944] = 0 - vX_[6933];
+ vX_[6945] = vX_[6938] * vX_[354] + vX_[6939] * vX_[1426] + vX_[6940] * vX_[1430] + vX_[6941] * vX_[1631] +
+ vX_[6942] * vX_[1639] + vX_[6943] * vX_[1647] + vX_[6944] * vX_[1435] + vX_[6920] * vX_[1596];
+ vX_[6946] = vX_[6945] * vX_[1574];
+ vX_[6947] = vX_[6937] + vX_[6946];
+ vX_[6948] = vX_[6934] * vX_[1605];
+ vX_[6949] = vX_[6945] * vX_[1609];
+ vX_[6950] = vX_[6948] + vX_[6949];
+ vX_[6951] = vX_[6934] * vX_[1574];
+ vX_[6952] = vX_[6922] * vX_[1609];
+ vX_[6953] = vX_[6951] - vX_[6952];
+ vX_[6936] = vX_[6936] * vX_[1624] +
+ (vX_[6936] * vX_[1623] + vX_[6947] * vX_[1654] + vX_[6950] * vX_[1658] + vX_[6953] * vX_[1662]) * 2.;
+ vX_[6949] = 0 - vX_[6948] + vX_[6949];
+ vX_[6946] = vX_[6937] - vX_[6946];
+ vX_[6953] = vX_[6953] * vX_[1624] + vX_[6949] * vX_[1655] + vX_[6946] * vX_[1519];
+ vX_[6937] = 0 - vX_[6953];
+ vX_[6948] = vX_[6936] * vX_[1622] + vX_[6937] * vX_[1618];
+ vX_[6954] = vX_[6945] * vX_[1605];
+ vX_[6935] = 0 - vX_[6954] - vX_[6935];
+ vX_[6952] = vX_[6951] + vX_[6952];
+ vX_[6935] = vX_[6947] * vX_[1624] + vX_[6935] * vX_[1655] +
+ (vX_[6935] * vX_[1654] + vX_[6952] * vX_[1658] + vX_[6949] * vX_[1662]) * 2.;
+ vX_[6949] = 0 - vX_[6935];
+ vX_[6954] = 0 - vX_[6954] - vX_[6923];
+ vX_[6954] = vX_[6950] * vX_[1624] + vX_[6952] * vX_[1655] + vX_[6954] * vX_[1519] +
+ (vX_[6954] * vX_[1658] + vX_[6946] * vX_[1662]) * 2.;
+ vX_[6952] = vX_[6949] * vX_[1618] + vX_[6954] * vX_[1622];
+ vX_[6946] = vX_[6935] * vX_[1622] + vX_[6954] * vX_[1618];
+ vX_[6950] = vX_[6936] * vX_[1618] + vX_[6953] * vX_[1622];
+ vX_[6923] = vX_[6716] * vX_[473] + vX_[6714] * vX_[1651] + vX_[6706] * vX_[488] + vX_[6701] * vX_[486] +
+ vX_[6732] * vX_[1659];
+ vX_[6947] = vX_[6732] * -1;
+ vX_[6951] = vX_[6704] * -1 + vX_[6706] * 0.207;
+ vX_[6955] = vX_[6951] * 1 / vX_[470];
+ vX_[6956] = vX_[6923] * 1 / vX_[470];
+ vX_[6957] = vX_[6716] * vX_[1671] + vX_[6714] * vX_[1672] + vX_[6706] * vX_[1673] + vX_[6701] * vX_[1674] +
+ vX_[6732] * vX_[392];
+ vX_[6958] = vX_[6957] * 1 / vX_[470];
+ vX_[6959] = vX_[6947] * 1 / vX_[470];
+ vX_[6960] = vX_[6706] * vX_[473] + vX_[6701] * vX_[487];
+ vX_[6961] = vX_[6960] * 1 / vX_[470];
+ vX_[6962] = vX_[6706] * vX_[487] + vX_[6701] * vX_[485];
+ vX_[6963] = vX_[6962] * 1 / vX_[470];
+ vX_[6947] = vX_[6947] - (vX_[6955] * vX_[482] + vX_[6956] * vX_[444] + vX_[6958] * vX_[434] + vX_[6959] * vX_[470] +
+ vX_[6961] * vX_[496] + vX_[6963] * vX_[505]);
+ vX_[6964] = vX_[6923] * -1 + vX_[6947] * -0.08;
+ vX_[6965] = vX_[6947] * vX_[421] + vX_[6962] * vX_[433];
+ vX_[6966] = vX_[6964] + vX_[6965] * -0.35;
+ vX_[6967] = 0 - vX_[6966];
+ vX_[6968] = vX_[6951] * vX_[421] + vX_[6957] * vX_[1686] + vX_[6960] * vX_[1687];
+ vX_[6969] = vX_[6951] * vX_[394] + vX_[6957] * vX_[421] + vX_[6960] * vX_[439];
+ vX_[6970] = vX_[6960] * -1;
+ vX_[6971] = vX_[6968] * 1 / vX_[418];
+ vX_[6972] = vX_[6969] * 1 / vX_[418];
+ vX_[6973] = vX_[6970] * 1 / vX_[418];
+ vX_[6974] = vX_[6965] * 1 / vX_[418];
+ vX_[6975] = vX_[6947] * vX_[394] + vX_[6962] * vX_[421];
+ vX_[6976] = vX_[6975] * 1 / vX_[418];
+ vX_[6970] = vX_[6970] - (vX_[6971] * vX_[428] + vX_[6972] * vX_[416] + vX_[6973] * vX_[418] + vX_[6974] * vX_[424] +
+ vX_[6976] * vX_[406]);
+ vX_[6977] = vX_[6968] * vX_[395] + vX_[6969] * vX_[1690] + vX_[6970] * vX_[1698];
+ vX_[6978] = 0 - vX_[6977];
+ vX_[6979] = vX_[6968] * vX_[397] + vX_[6969] * vX_[395] + vX_[6970] * vX_[400];
+ vX_[6980] = 0 - vX_[6979];
+ vX_[6981] = vX_[6970] - (vX_[6977] * 38.1956380581338 * 0.1104774 + vX_[6979] * 38.1956380581338 * -0.0004405 +
+ vX_[6970] * 38.1956380581338 * 0.026181);
+ vX_[6982] = 0 - vX_[6981];
+ vX_[6983] = vX_[6965] * vX_[395] + vX_[6975] * vX_[398];
+ vX_[6984] = 0 - vX_[6983];
+ vX_[6985] = vX_[6965] * vX_[397] + vX_[6975] * vX_[395];
+ vX_[6986] = 0 - vX_[6985];
+ vX_[6987] = 0 - vX_[6981];
+ vX_[6988] = 0 - vX_[6983];
+ vX_[6989] = 0 - vX_[6985];
+ vX_[6990] = vX_[6987] * vX_[1734] + vX_[6988] * vX_[1739] + vX_[6989] * vX_[1743];
+ vX_[6991] = 0 - vX_[6983];
+ vX_[6992] = 0 - vX_[6985];
+ vX_[6993] = vX_[6991] * vX_[1749] + vX_[6992] * vX_[1753];
+ vX_[6994] = 0 - vX_[6993];
+ vX_[6995] = vX_[6967] * vX_[391] + vX_[6978] * vX_[1705] + vX_[6980] * vX_[1710] + vX_[6982] * vX_[1714] +
+ vX_[6984] * vX_[1723] + vX_[6986] * vX_[1732] + vX_[6990] * vX_[1747] + vX_[6994] * vX_[1761];
+ vX_[6996] = vX_[6995] * vX_[1887];
+ vX_[6997] = 0 - vX_[6977];
+ vX_[6998] = 0 - vX_[6979];
+ vX_[6999] = 0 - vX_[6981];
+ vX_[7000] = 0 - vX_[6983];
+ vX_[7001] = 0 - vX_[6985];
+ vX_[7002] = 0 - vX_[6990];
+ vX_[7003] = 0 - vX_[6981];
+ vX_[7004] = 0 - vX_[6983];
+ vX_[7005] = 0 - vX_[6985];
+ vX_[7006] = vX_[7003] * vX_[391] + vX_[7004] * vX_[1704] + vX_[7005] * vX_[1708];
+ vX_[7007] = vX_[6997] * vX_[1749] + vX_[6998] * vX_[1752] + vX_[6999] * vX_[1893] + vX_[7000] * vX_[1899] +
+ vX_[7001] * vX_[1904] + vX_[7002] * vX_[1911] + vX_[7006] * vX_[1761];
+ vX_[7008] = vX_[7007] * vX_[1923];
+ vX_[7009] = 0 - vX_[6996] - vX_[7008];
+ vX_[7010] = vX_[6995] * vX_[1919];
+ vX_[7011] = 0 - vX_[6966];
+ vX_[7012] = 0 - vX_[6977];
+ vX_[7013] = 0 - vX_[6979];
+ vX_[7014] = 0 - vX_[6981];
+ vX_[7015] = 0 - vX_[6983];
+ vX_[7016] = 0 - vX_[6985];
+ vX_[7017] = 0 - vX_[7006];
+ vX_[7018] = vX_[7011] * vX_[1940] + vX_[7012] * vX_[1737] + vX_[7013] * vX_[1742] + vX_[7014] * vX_[1947] +
+ vX_[7015] * vX_[1955] + vX_[7016] * vX_[1963] + vX_[7017] * vX_[1747] + vX_[6993] * vX_[1911];
+ vX_[7019] = vX_[7018] * vX_[1887];
+ vX_[7020] = vX_[7010] + vX_[7019];
+ vX_[7021] = vX_[7007] * vX_[1919];
+ vX_[7022] = vX_[7018] * vX_[1923];
+ vX_[7023] = vX_[7021] + vX_[7022];
+ vX_[7024] = vX_[7007] * vX_[1887];
+ vX_[7025] = vX_[6995] * vX_[1923];
+ vX_[7026] = vX_[7024] - vX_[7025];
+ vX_[7009] = vX_[7009] * vX_[1938] +
+ (vX_[7009] * vX_[1937] + vX_[7020] * vX_[1970] + vX_[7023] * vX_[1974] + vX_[7026] * vX_[1978]) * 2.;
+ vX_[7022] = 0 - vX_[7021] + vX_[7022];
+ vX_[7019] = vX_[7010] - vX_[7019];
+ vX_[7026] = vX_[7026] * vX_[1938] + vX_[7022] * vX_[1971] + vX_[7019] * vX_[1829];
+ vX_[7010] = 0 - vX_[7026];
+ vX_[7021] = vX_[7009] * vX_[1936] + vX_[7010] * vX_[1932];
+ vX_[7027] = vX_[7018] * vX_[1919];
+ vX_[7008] = 0 - vX_[7027] - vX_[7008];
+ vX_[7025] = vX_[7024] + vX_[7025];
+ vX_[7008] = vX_[7020] * vX_[1938] + vX_[7008] * vX_[1971] +
+ (vX_[7008] * vX_[1970] + vX_[7025] * vX_[1974] + vX_[7022] * vX_[1978]) * 2.;
+ vX_[7022] = 0 - vX_[7008];
+ vX_[7027] = 0 - vX_[7027] - vX_[6996];
+ vX_[7027] = vX_[7023] * vX_[1938] + vX_[7025] * vX_[1971] + vX_[7027] * vX_[1829] +
+ (vX_[7027] * vX_[1974] + vX_[7019] * vX_[1978]) * 2.;
+ vX_[7025] = vX_[7022] * vX_[1932] + vX_[7027] * vX_[1936];
+ vX_[7019] = vX_[7008] * vX_[1936] + vX_[7027] * vX_[1932];
+ vX_[7023] = vX_[7009] * vX_[1932] + vX_[7026] * vX_[1936];
+ vX_[6996] = vX_[6799] * vX_[1982] + vX_[6776] * vX_[1985] + vX_[6788] * vX_[1988];
+ vX_[7020] = vX_[6996] * vX_[950] * -1000.;
+ vX_[7024] = vX_[7020] * vX_[872];
+ vX_[7028] = vX_[6799] * vX_[1994] + vX_[6776] * vX_[1987] + vX_[6788] * vX_[1983];
+ vX_[7029] = vX_[7028] * vX_[950] * -1000.;
+ vX_[7030] = vX_[7029] * vX_[891];
+ vX_[7031] = 0 - vX_[7024] - vX_[7030];
+ vX_[6799] = vX_[6799] * vX_[1986] + vX_[6776] * vX_[1975] + vX_[6788] * vX_[1993];
+ vX_[6788] = vX_[6799] * vX_[950] * -1000.;
+ vX_[6776] = vX_[6788] * vX_[872];
+ vX_[7032] = vX_[7020] * vX_[909];
+ vX_[7033] = vX_[6776] + vX_[7032];
+ vX_[7034] = vX_[6788] * vX_[891];
+ vX_[7035] = vX_[7029] * vX_[909];
+ vX_[7036] = vX_[7034] + vX_[7035];
+ vX_[7037] = vX_[7020] * vX_[891];
+ vX_[7038] = vX_[7029] * vX_[872];
+ vX_[7039] = vX_[7037] - vX_[7038];
+ vX_[7031] = vX_[7031] * vX_[838] +
+ (vX_[7031] * vX_[837] + vX_[7033] * vX_[873] + vX_[7036] * vX_[842] + vX_[7039] * vX_[876]) * 2.;
+ vX_[7035] = 0 - vX_[7034] + vX_[7035];
+ vX_[7032] = vX_[6776] - vX_[7032];
+ vX_[7039] = vX_[7039] * vX_[838] + vX_[7035] * vX_[874] + vX_[7032] * vX_[843];
+ vX_[6776] = 0 - vX_[7039];
+ vX_[7034] = vX_[7031] * vX_[836] + vX_[6776] * vX_[832];
+ vX_[7040] = vX_[6788] * vX_[909];
+ vX_[7030] = 0 - vX_[7040] - vX_[7030];
+ vX_[7038] = vX_[7037] + vX_[7038];
+ vX_[7030] = vX_[7033] * vX_[838] + vX_[7030] * vX_[874] +
+ (vX_[7030] * vX_[873] + vX_[7038] * vX_[842] + vX_[7035] * vX_[876]) * 2.;
+ vX_[7035] = 0 - vX_[7030];
+ vX_[7040] = 0 - vX_[7040] - vX_[7024];
+ vX_[7040] = vX_[7036] * vX_[838] + vX_[7038] * vX_[874] + vX_[7040] * vX_[843] +
+ (vX_[7040] * vX_[842] + vX_[7032] * vX_[876]) * 2.;
+ vX_[7038] = vX_[7035] * vX_[832] + vX_[7040] * vX_[836];
+ vX_[7032] = vX_[7030] * vX_[836] + vX_[7040] * vX_[832];
+ vX_[7036] = vX_[7031] * vX_[832] + vX_[7039] * vX_[836];
+ vX_[6799] = vX_[6799] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[6799] * vX_[844] + vX_[6996] * vX_[910] + vX_[7028] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[7028] = vX_[6799] * vX_[935];
+ vX_[6996] = vX_[6799] * vX_[939];
+ vX_[7024] = (vX_[7028] * vX_[925] + vX_[6996] * vX_[926]) * 2.;
+ vX_[7033] = 0 - vX_[6996];
+ vX_[7037] = vX_[7033] * vX_[936] + vX_[7028] * vX_[927];
+ vX_[7041] = 0 - vX_[7037];
+ vX_[7042] = vX_[7024] * vX_[921] + vX_[7041] * vX_[917];
+ vX_[7043] = vX_[6799] * vX_[946];
+ vX_[7044] = 0 - vX_[7043];
+ vX_[7044] = vX_[7028] * vX_[922] + vX_[7044] * vX_[936] + (vX_[7044] * vX_[925] + vX_[7033] * vX_[928]) * 2.;
+ vX_[7033] = 0 - vX_[7044];
+ vX_[7043] = 0 - vX_[7043];
+ vX_[7043] = vX_[6996] * vX_[922] + vX_[7043] * vX_[927] + (vX_[7043] * vX_[926] + vX_[7028] * vX_[928]) * 2.;
+ vX_[6996] = vX_[7033] * vX_[917] + vX_[7043] * vX_[921];
+ vX_[7028] = vX_[7044] * vX_[921] + vX_[7043] * vX_[917];
+ vX_[7045] = vX_[7024] * vX_[917] + vX_[7037] * vX_[921];
+ vX_[7046] = vX_[6872] * vX_[2014] + vX_[6849] * vX_[2017] + vX_[6861] * vX_[2020];
+ vX_[7047] = vX_[7046] * vX_[1261] * -1000.;
+ vX_[7048] = vX_[7047] * vX_[1189];
+ vX_[7049] = vX_[6872] * vX_[2026] + vX_[6849] * vX_[2019] + vX_[6861] * vX_[2015];
+ vX_[7050] = vX_[7049] * vX_[1261] * -1000.;
+ vX_[7051] = vX_[7050] * vX_[1207];
+ vX_[7052] = 0 - vX_[7048] - vX_[7051];
+ vX_[6872] = vX_[6872] * vX_[2018] + vX_[6849] * vX_[2013] + vX_[6861] * vX_[2025];
+ vX_[6861] = vX_[6872] * vX_[1261] * -1000.;
+ vX_[6849] = vX_[6861] * vX_[1189];
+ vX_[7053] = vX_[7047] * vX_[1226];
+ vX_[7054] = vX_[6849] + vX_[7053];
+ vX_[7055] = vX_[6861] * vX_[1207];
+ vX_[7056] = vX_[7050] * vX_[1226];
+ vX_[7057] = vX_[7055] + vX_[7056];
+ vX_[7058] = vX_[7047] * vX_[1207];
+ vX_[7059] = vX_[7050] * vX_[1189];
+ vX_[7060] = vX_[7058] - vX_[7059];
+ vX_[7052] = vX_[7052] * vX_[1152] +
+ (vX_[7052] * vX_[1151] + vX_[7054] * vX_[1190] + vX_[7057] * vX_[1156] + vX_[7060] * vX_[1193]) * 2.;
+ vX_[7056] = 0 - vX_[7055] + vX_[7056];
+ vX_[7053] = vX_[6849] - vX_[7053];
+ vX_[7060] = vX_[7060] * vX_[1152] + vX_[7056] * vX_[1191] + vX_[7053] * vX_[1157];
+ vX_[6849] = 0 - vX_[7060];
+ vX_[7055] = vX_[7052] * vX_[1150] + vX_[6849] * vX_[1146];
+ vX_[7061] = vX_[6861] * vX_[1226];
+ vX_[7051] = 0 - vX_[7061] - vX_[7051];
+ vX_[7059] = vX_[7058] + vX_[7059];
+ vX_[7051] = vX_[7054] * vX_[1152] + vX_[7051] * vX_[1191] +
+ (vX_[7051] * vX_[1190] + vX_[7059] * vX_[1156] + vX_[7056] * vX_[1193]) * 2.;
+ vX_[7056] = 0 - vX_[7051];
+ vX_[7061] = 0 - vX_[7061] - vX_[7048];
+ vX_[7061] = vX_[7057] * vX_[1152] + vX_[7059] * vX_[1191] + vX_[7061] * vX_[1157] +
+ (vX_[7061] * vX_[1156] + vX_[7053] * vX_[1193]) * 2.;
+ vX_[7059] = vX_[7056] * vX_[1146] + vX_[7061] * vX_[1150];
+ vX_[7053] = vX_[7051] * vX_[1150] + vX_[7061] * vX_[1146];
+ vX_[7057] = vX_[7052] * vX_[1146] + vX_[7060] * vX_[1150];
+ vX_[6872] =
+ vX_[6872] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[6872] * vX_[1158] + vX_[7046] * vX_[1227] + vX_[7049] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[7049] = vX_[6872] * vX_[1250];
+ vX_[7046] = vX_[6872] * vX_[1181];
+ vX_[7048] = (vX_[7049] * vX_[1242] + vX_[7046] * vX_[1243]) * 2.;
+ vX_[7054] = 0 - vX_[7046];
+ vX_[7058] = vX_[7054] * vX_[1251] + vX_[7049] * vX_[1244];
+ vX_[7062] = 0 - vX_[7058];
+ vX_[7063] = vX_[7048] * vX_[1238] + vX_[7062] * vX_[1234];
+ vX_[7064] = vX_[6872] * vX_[1257];
+ vX_[7065] = 0 - vX_[7064];
+ vX_[7065] = vX_[7049] * vX_[1239] + vX_[7065] * vX_[1251] + (vX_[7065] * vX_[1242] + vX_[7054] * vX_[1245]) * 2.;
+ vX_[7054] = 0 - vX_[7065];
+ vX_[7064] = 0 - vX_[7064];
+ vX_[7064] = vX_[7046] * vX_[1239] + vX_[7064] * vX_[1244] + (vX_[7064] * vX_[1243] + vX_[7049] * vX_[1245]) * 2.;
+ vX_[7046] = vX_[7054] * vX_[1234] + vX_[7064] * vX_[1238];
+ vX_[7049] = vX_[7065] * vX_[1238] + vX_[7064] * vX_[1234];
+ vX_[7066] = vX_[7048] * vX_[1234] + vX_[7058] * vX_[1238];
+ vX_[7067] = vX_[6945] * vX_[2046] + vX_[6922] * vX_[2049] + vX_[6934] * vX_[2052];
+ vX_[7068] = vX_[7067] * vX_[1573] * -1000.;
+ vX_[7069] = vX_[7068] * vX_[1499];
+ vX_[7070] = vX_[6945] * vX_[2058] + vX_[6922] * vX_[2051] + vX_[6934] * vX_[2047];
+ vX_[7071] = vX_[7070] * vX_[1573] * -1000.;
+ vX_[7072] = vX_[7071] * vX_[1518];
+ vX_[7073] = 0 - vX_[7069] - vX_[7072];
+ vX_[6945] = vX_[6945] * vX_[2050] + vX_[6922] * vX_[2045] + vX_[6934] * vX_[2057];
+ vX_[6934] = vX_[6945] * vX_[1573] * -1000.;
+ vX_[6922] = vX_[6934] * vX_[1499];
+ vX_[7074] = vX_[7068] * vX_[1536];
+ vX_[7075] = vX_[6922] + vX_[7074];
+ vX_[7076] = vX_[6934] * vX_[1518];
+ vX_[7077] = vX_[7071] * vX_[1536];
+ vX_[7078] = vX_[7076] + vX_[7077];
+ vX_[7079] = vX_[7068] * vX_[1518];
+ vX_[7080] = vX_[7071] * vX_[1499];
+ vX_[7081] = vX_[7079] - vX_[7080];
+ vX_[7073] = vX_[7073] * vX_[1463] +
+ (vX_[7073] * vX_[1462] + vX_[7075] * vX_[1500] + vX_[7078] * vX_[1467] + vX_[7081] * vX_[1503]) * 2.;
+ vX_[7077] = 0 - vX_[7076] + vX_[7077];
+ vX_[7074] = vX_[6922] - vX_[7074];
+ vX_[7081] = vX_[7081] * vX_[1463] + vX_[7077] * vX_[1501] + vX_[7074] * vX_[1468];
+ vX_[6922] = 0 - vX_[7081];
+ vX_[7076] = vX_[7073] * vX_[1461] + vX_[6922] * vX_[1457];
+ vX_[7082] = vX_[6934] * vX_[1536];
+ vX_[7072] = 0 - vX_[7082] - vX_[7072];
+ vX_[7080] = vX_[7079] + vX_[7080];
+ vX_[7072] = vX_[7075] * vX_[1463] + vX_[7072] * vX_[1501] +
+ (vX_[7072] * vX_[1500] + vX_[7080] * vX_[1467] + vX_[7077] * vX_[1503]) * 2.;
+ vX_[7077] = 0 - vX_[7072];
+ vX_[7082] = 0 - vX_[7082] - vX_[7069];
+ vX_[7082] = vX_[7078] * vX_[1463] + vX_[7080] * vX_[1501] + vX_[7082] * vX_[1468] +
+ (vX_[7082] * vX_[1467] + vX_[7074] * vX_[1503]) * 2.;
+ vX_[7080] = vX_[7077] * vX_[1457] + vX_[7082] * vX_[1461];
+ vX_[7074] = vX_[7072] * vX_[1461] + vX_[7082] * vX_[1457];
+ vX_[7078] = vX_[7073] * vX_[1457] + vX_[7081] * vX_[1461];
+ vX_[6945] =
+ vX_[6945] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[6945] * vX_[1469] + vX_[7067] * vX_[1537] + vX_[7070] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[7070] = vX_[6945] * vX_[1560];
+ vX_[7067] = vX_[6945] * vX_[1491];
+ vX_[7069] = (vX_[7070] * vX_[1552] + vX_[7067] * vX_[1553]) * 2.;
+ vX_[7075] = 0 - vX_[7067];
+ vX_[7079] = vX_[7075] * vX_[1561] + vX_[7070] * vX_[1554];
+ vX_[7083] = 0 - vX_[7079];
+ vX_[7084] = vX_[7069] * vX_[1548] + vX_[7083] * vX_[1544];
+ vX_[7085] = vX_[6945] * vX_[1569];
+ vX_[7086] = 0 - vX_[7085];
+ vX_[7086] = vX_[7070] * vX_[1549] + vX_[7086] * vX_[1561] + (vX_[7086] * vX_[1552] + vX_[7075] * vX_[1555]) * 2.;
+ vX_[7075] = 0 - vX_[7086];
+ vX_[7085] = 0 - vX_[7085];
+ vX_[7085] = vX_[7067] * vX_[1549] + vX_[7085] * vX_[1554] + (vX_[7085] * vX_[1553] + vX_[7070] * vX_[1555]) * 2.;
+ vX_[7067] = vX_[7075] * vX_[1544] + vX_[7085] * vX_[1548];
+ vX_[7070] = vX_[7086] * vX_[1548] + vX_[7085] * vX_[1544];
+ vX_[7087] = vX_[7069] * vX_[1544] + vX_[7079] * vX_[1548];
+ vX_[7088] = vX_[7018] * vX_[2078] + vX_[6995] * vX_[2081] + vX_[7007] * vX_[2084];
+ vX_[7089] = vX_[7088] * vX_[1886] * -1000.;
+ vX_[7090] = vX_[7089] * vX_[1809];
+ vX_[7091] = vX_[7018] * vX_[2090] + vX_[6995] * vX_[2083] + vX_[7007] * vX_[2079];
+ vX_[7092] = vX_[7091] * vX_[1886] * -1000.;
+ vX_[7093] = vX_[7092] * vX_[1828];
+ vX_[7094] = 0 - vX_[7090] - vX_[7093];
+ vX_[7018] = vX_[7018] * vX_[2082] + vX_[6995] * vX_[2077] + vX_[7007] * vX_[2089];
+ vX_[7007] = vX_[7018] * vX_[1886] * -1000.;
+ vX_[6995] = vX_[7007] * vX_[1809];
+ vX_[7095] = vX_[7089] * vX_[1846];
+ vX_[7096] = vX_[6995] + vX_[7095];
+ vX_[7097] = vX_[7007] * vX_[1828];
+ vX_[7098] = vX_[7092] * vX_[1846];
+ vX_[7099] = vX_[7097] + vX_[7098];
+ vX_[7100] = vX_[7089] * vX_[1828];
+ vX_[7101] = vX_[7092] * vX_[1809];
+ vX_[7102] = vX_[7100] - vX_[7101];
+ vX_[7094] = vX_[7094] * vX_[1775] +
+ (vX_[7094] * vX_[1774] + vX_[7096] * vX_[1810] + vX_[7099] * vX_[1779] + vX_[7102] * vX_[1813]) * 2.;
+ vX_[7098] = 0 - vX_[7097] + vX_[7098];
+ vX_[7095] = vX_[6995] - vX_[7095];
+ vX_[7102] = vX_[7102] * vX_[1775] + vX_[7098] * vX_[1811] + vX_[7095] * vX_[1780];
+ vX_[6995] = 0 - vX_[7102];
+ vX_[7097] = vX_[7094] * vX_[1773] + vX_[6995] * vX_[1769];
+ vX_[7103] = vX_[7007] * vX_[1846];
+ vX_[7093] = 0 - vX_[7103] - vX_[7093];
+ vX_[7101] = vX_[7100] + vX_[7101];
+ vX_[7093] = vX_[7096] * vX_[1775] + vX_[7093] * vX_[1811] +
+ (vX_[7093] * vX_[1810] + vX_[7101] * vX_[1779] + vX_[7098] * vX_[1813]) * 2.;
+ vX_[7098] = 0 - vX_[7093];
+ vX_[7103] = 0 - vX_[7103] - vX_[7090];
+ vX_[7103] = vX_[7099] * vX_[1775] + vX_[7101] * vX_[1811] + vX_[7103] * vX_[1780] +
+ (vX_[7103] * vX_[1779] + vX_[7095] * vX_[1813]) * 2.;
+ vX_[7101] = vX_[7098] * vX_[1769] + vX_[7103] * vX_[1773];
+ vX_[7095] = vX_[7093] * vX_[1773] + vX_[7103] * vX_[1769];
+ vX_[7099] = vX_[7094] * vX_[1769] + vX_[7102] * vX_[1773];
+ vX_[7018] =
+ vX_[7018] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[7018] * vX_[1781] + vX_[7088] * vX_[1847] + vX_[7091] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[210] = vX_[6799] + vX_[6872] + vX_[6945] + vX_[7018];
+ vX_[7091] = vX_[7018] * vX_[1870];
+ vX_[7088] = vX_[7018] * vX_[1875];
+ vX_[7090] = (vX_[7091] * vX_[1862] + vX_[7088] * vX_[1863]) * 2.;
+ vX_[7096] = 0 - vX_[7088];
+ vX_[7100] = vX_[7096] * vX_[1871] + vX_[7091] * vX_[1864];
+ vX_[7104] = 0 - vX_[7100];
+ vX_[7105] = vX_[7090] * vX_[1858] + vX_[7104] * vX_[1854];
+ vX_[7106] = vX_[7018] * vX_[1882];
+ vX_[7107] = 0 - vX_[7106];
+ vX_[7107] = vX_[7091] * vX_[1859] + vX_[7107] * vX_[1871] + (vX_[7107] * vX_[1862] + vX_[7096] * vX_[1865]) * 2.;
+ vX_[7096] = 0 - vX_[7107];
+ vX_[7106] = 0 - vX_[7106];
+ vX_[7106] = vX_[7088] * vX_[1859] + vX_[7106] * vX_[1864] + (vX_[7106] * vX_[1863] + vX_[7091] * vX_[1865]) * 2.;
+ vX_[7088] = vX_[7096] * vX_[1854] + vX_[7106] * vX_[1858];
+ vX_[7091] = vX_[7107] * vX_[1858] + vX_[7106] * vX_[1854];
+ vX_[7108] = vX_[7090] * vX_[1854] + vX_[7100] * vX_[1858];
+ jac[30] = ((vX_[6802] * vX_[999] + vX_[6806] * vX_[994]) * vX_[1029] -
+ (vX_[6800] * vX_[999] + vX_[6804] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[6875] * vX_[1308] + vX_[6879] * vX_[1303]) * vX_[1340] -
+ (vX_[6873] * vX_[1308] + vX_[6877] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[6948] * vX_[1620] + vX_[6952] * vX_[1615]) * vX_[1650] -
+ (vX_[6946] * vX_[1620] + vX_[6950] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[7021] * vX_[1934] + vX_[7025] * vX_[1929]) * vX_[1966] -
+ (vX_[7019] * vX_[1934] + vX_[7023] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[7034] * vX_[834] + vX_[7038] * vX_[829]) * vX_[1992] -
+ (vX_[7032] * vX_[834] + vX_[7036] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[7042] * vX_[919] + vX_[6996] * vX_[914]) * vX_[1995] -
+ (vX_[7028] * vX_[919] + vX_[7045] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[7055] * vX_[1148] + vX_[7059] * vX_[1143]) * vX_[2024] -
+ (vX_[7053] * vX_[1148] + vX_[7057] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[7063] * vX_[1236] + vX_[7046] * vX_[1231]) * vX_[2027] -
+ (vX_[7049] * vX_[1236] + vX_[7066] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[7076] * vX_[1459] + vX_[7080] * vX_[1454]) * vX_[2056] -
+ (vX_[7074] * vX_[1459] + vX_[7078] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[7084] * vX_[1546] + vX_[7067] * vX_[1541]) * vX_[2059] -
+ (vX_[7070] * vX_[1546] + vX_[7087] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[7097] * vX_[1771] + vX_[7101] * vX_[1766]) * vX_[2088] -
+ (vX_[7095] * vX_[1771] + vX_[7099] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[7105] * vX_[1856] + vX_[7088] * vX_[1851]) * vX_[2091] -
+ (vX_[7091] * vX_[1856] + vX_[7108] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[7109] = 1 / vX_[183];
+ vX_[7110] = (0 - vX_[7109]) * 2.1e-05;
+ vX_[7111] = (0 - vX_[7109]) * -0.000102;
+ vX_[7112] = vX_[7110] * vX_[186] + vX_[7111] * vX_[166];
+ vX_[7113] = vX_[7112] * 1 / vX_[232];
+ vX_[7114] = 0 - vX_[7113];
+ vX_[7115] = vX_[7114] * vX_[206];
+ vX_[7116] = 0 - vX_[7109];
+ vX_[7117] = vX_[7116] * vX_[190];
+ vX_[7118] = 0 - vX_[7109];
+ vX_[7119] = vX_[7118] * vX_[181];
+ vX_[7120] = 0 - vX_[7113];
+ vX_[7121] = vX_[7117] * vX_[1065] + vX_[7119] * vX_[186] + vX_[7120] * vX_[196];
+ vX_[7122] = 0 - vX_[7113];
+ vX_[7112] = vX_[7115] * vX_[1038] + vX_[7121] * vX_[164] + (vX_[7112] + vX_[7122] * vX_[232]) * -1;
+ vX_[7123] = 0 - vX_[7109];
+ vX_[7124] = 0 - vX_[7113];
+ vX_[7125] = vX_[7117] * vX_[1066] + vX_[7119] * vX_[201] + vX_[7123] * vX_[183] * -1 + vX_[7124] * vX_[258];
+ vX_[7126] = 0 - vX_[7113];
+ vX_[7127] = vX_[7110] * vX_[195] + vX_[7111] * vX_[186] + vX_[7126] * vX_[267];
+ vX_[7128] = 0 - (vX_[7115] * vX_[248] + vX_[7121] * vX_[1053] + vX_[7125] * vX_[249] + vX_[7127] * vX_[247]) +
+ vX_[7112] * vX_[637];
+ vX_[7129] = 0 - vX_[7128];
+ vX_[7130] = 0 - vX_[7113];
+ vX_[7131] = vX_[7117] * vX_[186] + vX_[7119] * vX_[166] + vX_[7130] * vX_[244];
+ vX_[7132] = 0 - vX_[7128];
+ vX_[7133] = 0 - (vX_[7131] * 0.207 + vX_[7115] * vX_[250] + vX_[7121] * vX_[1052] + vX_[7125] * vX_[235] +
+ vX_[7127] * vX_[249]) +
+ vX_[7112] * vX_[624] + vX_[7132] * vX_[668];
+ vX_[7134] = 0 - vX_[7133];
+ vX_[7135] = 0 - vX_[7128];
+ vX_[7136] = 0 - vX_[7133];
+ vX_[7131] = 0 - vX_[7131] * -1 + vX_[7112] * vX_[590] + vX_[7135] * vX_[666] + vX_[7136] * vX_[664];
+ vX_[7137] = 0 - vX_[7131];
+ vX_[7138] = 0 - vX_[7128];
+ vX_[7139] = 0 - vX_[7133];
+ vX_[7140] = 0 - vX_[7131];
+ vX_[7141] = 0 - (vX_[7115] * vX_[1030] + vX_[7121] * vX_[1051]) + vX_[7112] * vX_[723] + vX_[7138] * vX_[725] +
+ vX_[7139] * vX_[731] + vX_[7140] * vX_[737];
+ vX_[7142] = 0 - vX_[7141];
+ vX_[7143] = (0 - (vX_[7115] * vX_[235] + vX_[7121] * vX_[1050]) + vX_[7112] * vX_[620] + vX_[7129] * vX_[602] +
+ vX_[7134] * vX_[604] + vX_[7137] * vX_[722] + vX_[7142] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[7144] = 0 - vX_[7143];
+ vX_[7141] = (vX_[7141] + vX_[7144] * vX_[743]) * 1 / vX_[718];
+ vX_[7145] = 0 - vX_[7143];
+ vX_[7146] = 0 - vX_[7141];
+ vX_[7147] = 0 - vX_[7143];
+ vX_[7148] = 0 - vX_[7141];
+ vX_[7131] = (vX_[7131] + vX_[7147] * vX_[689] + vX_[7148] * vX_[736]) * 1 / vX_[721];
+ vX_[7149] = 0 - vX_[7131];
+ vX_[7133] = (vX_[7133] + vX_[7145] * vX_[682] + vX_[7146] * vX_[730] + vX_[7149] * vX_[509]) * 1 / vX_[618];
+ vX_[7150] = 0 - vX_[7143];
+ vX_[7151] = 0 - vX_[7141];
+ vX_[7152] = 0 - vX_[7131];
+ vX_[7153] = 0 - vX_[7133];
+ vX_[7128] =
+ (vX_[7128] + vX_[7150] * vX_[662] + vX_[7151] * vX_[633] + vX_[7152] * vX_[691] + vX_[7153] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[7154] = 0 - vX_[7143];
+ vX_[7155] = 0 - vX_[7141];
+ vX_[7156] = 0 - vX_[7131];
+ vX_[7157] = 0 - vX_[7133];
+ vX_[7158] = 0 - vX_[7128];
+ vX_[7159] = (0 - vX_[7112] + vX_[7154] * vX_[510] + vX_[7155] * vX_[518] + vX_[7156] * vX_[690] +
+ vX_[7157] * vX_[628] + vX_[7158] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7160] =
+ vX_[7143] * vX_[126] + vX_[7141] * vX_[1] + vX_[7133] * vX_[140] + vX_[7128] * vX_[138] + vX_[7159] * vX_[706];
+ vX_[7161] = vX_[7131] + vX_[7133] * 0.207;
+ vX_[7162] = vX_[7161] * 1 / vX_[123];
+ vX_[7163] = vX_[7160] * 1 / vX_[123];
+ vX_[7164] =
+ vX_[7143] * vX_[729] + vX_[7141] * vX_[126] + vX_[7133] * vX_[728] + vX_[7128] * vX_[727] + vX_[7159] * vX_[27];
+ vX_[7165] = vX_[7164] * 1 / vX_[123];
+ vX_[7166] = vX_[7159] * 1 / vX_[123];
+ vX_[7167] = vX_[7133] * vX_[126] + vX_[7128] * vX_[1];
+ vX_[7168] = vX_[7167] * 1 / vX_[123];
+ vX_[7169] = vX_[7133] * vX_[139] + vX_[7128] * vX_[126];
+ vX_[7170] = vX_[7169] * 1 / vX_[123];
+ vX_[7171] = vX_[7159] - (vX_[7162] * vX_[135] + vX_[7163] * vX_[97] + vX_[7165] * vX_[88] + vX_[7166] * vX_[123] +
+ vX_[7168] * vX_[148] + vX_[7170] * vX_[157]);
+ vX_[7172] = vX_[7160] + vX_[7171] * 0.08;
+ vX_[7173] = vX_[7171] * vX_[76] + vX_[7169] * vX_[4];
+ vX_[7174] = vX_[7172] + vX_[7173] * -0.35;
+ vX_[7175] = 0 - vX_[7174];
+ vX_[7176] = vX_[7161] * vX_[750] + vX_[7164] * vX_[751] + vX_[7167] * vX_[752];
+ vX_[7177] = vX_[7161] * vX_[754] + vX_[7164] * vX_[75] + vX_[7167] * vX_[93];
+ vX_[7178] = vX_[7176] * 1 / vX_[72];
+ vX_[7179] = vX_[7177] * 1 / vX_[72];
+ vX_[7180] = vX_[7167] * 1 / vX_[72];
+ vX_[7181] = vX_[7173] * 1 / vX_[72];
+ vX_[7182] = vX_[7171] * vX_[4] + vX_[7169] * vX_[75];
+ vX_[7183] = vX_[7182] * 1 / vX_[72];
+ vX_[7184] = vX_[7167] - (vX_[7178] * vX_[83] + vX_[7179] * vX_[70] + vX_[7180] * vX_[72] + vX_[7181] * vX_[79] +
+ vX_[7183] * vX_[60]);
+ vX_[7185] = vX_[7176] * vX_[7] + vX_[7177] * vX_[756] + vX_[7184] * vX_[764];
+ vX_[7186] = 0 - vX_[7185];
+ vX_[7187] = vX_[7176] * vX_[51] + vX_[7177] * vX_[7] + vX_[7184] * vX_[54];
+ vX_[7188] = 0 - vX_[7187];
+ vX_[7189] = vX_[7184] - (vX_[7185] * 38.1956380581338 * 0.1104774 + vX_[7187] * 38.1956380581338 * 0.0004405 +
+ vX_[7184] * 38.1956380581338 * 0.026181);
+ vX_[7190] = 0 - vX_[7189];
+ vX_[7191] = vX_[7173] * vX_[7] + vX_[7182] * vX_[52];
+ vX_[7192] = 0 - vX_[7191];
+ vX_[7193] = vX_[7173] * vX_[51] + vX_[7182] * vX_[7];
+ vX_[7194] = 0 - vX_[7193];
+ vX_[7195] = 0 - vX_[7189];
+ vX_[7196] = 0 - vX_[7191];
+ vX_[7197] = 0 - vX_[7193];
+ vX_[7198] = vX_[7195] * vX_[126] + vX_[7196] * vX_[803] + vX_[7197] * vX_[806];
+ vX_[7199] = 0 - vX_[7191];
+ vX_[7200] = 0 - vX_[7193];
+ vX_[7201] = vX_[7199] * vX_[812] + vX_[7200] * vX_[816];
+ vX_[7202] = 0 - vX_[7201];
+ vX_[7203] = vX_[7175] * vX_[1] + vX_[7186] * vX_[771] + vX_[7188] * vX_[776] + vX_[7190] * vX_[780] +
+ vX_[7192] * vX_[789] + vX_[7194] * vX_[797] + vX_[7198] * vX_[810] + vX_[7202] * vX_[824];
+ vX_[7204] = vX_[7203] * vX_[951];
+ vX_[7205] = 0 - vX_[7185];
+ vX_[7206] = 0 - vX_[7187];
+ vX_[7207] = 0 - vX_[7189];
+ vX_[7208] = 0 - vX_[7191];
+ vX_[7209] = 0 - vX_[7193];
+ vX_[7210] = 0 - vX_[7198];
+ vX_[7211] = 0 - vX_[7189];
+ vX_[7212] = 0 - vX_[7191];
+ vX_[7213] = 0 - vX_[7193];
+ vX_[7214] = vX_[7211] * vX_[1] + vX_[7212] * vX_[770] + vX_[7213] * vX_[775];
+ vX_[7215] = vX_[7205] * vX_[812] + vX_[7206] * vX_[815] + vX_[7207] * vX_[957] + vX_[7208] * vX_[963] +
+ vX_[7209] * vX_[968] + vX_[7210] * vX_[975] + vX_[7214] * vX_[824];
+ vX_[7216] = vX_[7215] * vX_[988];
+ vX_[7217] = 0 - vX_[7204] - vX_[7216];
+ vX_[7218] = vX_[7203] * vX_[984];
+ vX_[7219] = 0 - vX_[7174];
+ vX_[7220] = 0 - vX_[7185];
+ vX_[7221] = 0 - vX_[7187];
+ vX_[7222] = 0 - vX_[7189];
+ vX_[7223] = 0 - vX_[7191];
+ vX_[7224] = 0 - vX_[7193];
+ vX_[7225] = 0 - vX_[7214];
+ vX_[7226] = vX_[7219] * vX_[126] + vX_[7220] * vX_[801] + vX_[7221] * vX_[805] + vX_[7222] * vX_[1010] +
+ vX_[7223] * vX_[1018] + vX_[7224] * vX_[1026] + vX_[7225] * vX_[810] + vX_[7201] * vX_[975];
+ vX_[7227] = vX_[7226] * vX_[951];
+ vX_[7228] = vX_[7218] + vX_[7227];
+ vX_[7229] = vX_[7215] * vX_[984];
+ vX_[7230] = vX_[7226] * vX_[988];
+ vX_[7231] = vX_[7229] + vX_[7230];
+ vX_[7232] = vX_[7215] * vX_[951];
+ vX_[7233] = vX_[7203] * vX_[988];
+ vX_[7234] = vX_[7232] - vX_[7233];
+ vX_[7217] = vX_[7217] * vX_[1003] +
+ (vX_[7217] * vX_[1002] + vX_[7228] * vX_[1033] + vX_[7231] * vX_[1037] + vX_[7234] * vX_[1041]) * 2.;
+ vX_[7230] = 0 - vX_[7229] + vX_[7230];
+ vX_[7227] = vX_[7218] - vX_[7227];
+ vX_[7234] = vX_[7234] * vX_[1003] + vX_[7230] * vX_[1034] + vX_[7227] * vX_[892];
+ vX_[7218] = 0 - vX_[7234];
+ vX_[7229] = vX_[7217] * vX_[1001] + vX_[7218] * vX_[997];
+ vX_[7235] = vX_[7226] * vX_[984];
+ vX_[7216] = 0 - vX_[7235] - vX_[7216];
+ vX_[7233] = vX_[7232] + vX_[7233];
+ vX_[7216] = vX_[7228] * vX_[1003] + vX_[7216] * vX_[1034] +
+ (vX_[7216] * vX_[1033] + vX_[7233] * vX_[1037] + vX_[7230] * vX_[1041]) * 2.;
+ vX_[7230] = 0 - vX_[7216];
+ vX_[7235] = 0 - vX_[7235] - vX_[7204];
+ vX_[7235] = vX_[7231] * vX_[1003] + vX_[7233] * vX_[1034] + vX_[7235] * vX_[892] +
+ (vX_[7235] * vX_[1037] + vX_[7227] * vX_[1041]) * 2.;
+ vX_[7233] = vX_[7230] * vX_[997] + vX_[7235] * vX_[1001];
+ vX_[7227] = vX_[7216] * vX_[1001] + vX_[7235] * vX_[997];
+ vX_[7231] = vX_[7217] * vX_[997] + vX_[7234] * vX_[1001];
+ vX_[7204] = vX_[7143] * vX_[235] + vX_[7141] * vX_[1030] + vX_[7133] * vX_[250] + vX_[7128] * vX_[248] +
+ vX_[7159] * vX_[1038];
+ vX_[7228] = vX_[7159] * -1;
+ vX_[7232] = vX_[7131] * -1 + vX_[7133] * 0.207;
+ vX_[7236] = vX_[7232] * 1 / vX_[232];
+ vX_[7237] = vX_[7204] * 1 / vX_[232];
+ vX_[7238] = vX_[7143] * vX_[1050] + vX_[7141] * vX_[1051] + vX_[7133] * vX_[1052] + vX_[7128] * vX_[1053] +
+ vX_[7159] * vX_[164];
+ vX_[7239] = vX_[7238] * 1 / vX_[232];
+ vX_[7240] = vX_[7228] * 1 / vX_[232];
+ vX_[7241] = vX_[7133] * vX_[235] + vX_[7128] * vX_[249];
+ vX_[7242] = vX_[7241] * 1 / vX_[232];
+ vX_[7243] = vX_[7133] * vX_[249] + vX_[7128] * vX_[247];
+ vX_[7244] = vX_[7243] * 1 / vX_[232];
+ vX_[7228] = vX_[7228] - (vX_[7113] + vX_[7236] * vX_[244] + vX_[7237] * vX_[206] + vX_[7239] * vX_[196] +
+ vX_[7240] * vX_[232] + vX_[7242] * vX_[258] + vX_[7244] * vX_[267]);
+ vX_[7245] = vX_[7204] * -1 + vX_[7228] * -0.08;
+ vX_[7246] = vX_[7228] * vX_[186] + vX_[7243] * vX_[195];
+ vX_[7247] = vX_[7245] + vX_[7246] * -0.35;
+ vX_[7248] = 0 - vX_[7247];
+ vX_[7249] = vX_[7232] * vX_[186] + vX_[7238] * vX_[1065] + vX_[7241] * vX_[1066];
+ vX_[7250] = vX_[7232] * vX_[166] + vX_[7238] * vX_[186] + vX_[7241] * vX_[201];
+ vX_[7251] = vX_[7241] * -1;
+ vX_[7252] = vX_[7249] * 1 / vX_[183];
+ vX_[7253] = vX_[7250] * 1 / vX_[183];
+ vX_[7254] = vX_[7251] * 1 / vX_[183];
+ vX_[7255] = vX_[7246] * 1 / vX_[183];
+ vX_[7256] = vX_[7228] * vX_[166] + vX_[7243] * vX_[186];
+ vX_[7257] = vX_[7256] * 1 / vX_[183];
+ vX_[7251] = vX_[7251] - (vX_[7109] + vX_[7252] * vX_[190] + vX_[7253] * vX_[181] + vX_[7254] * vX_[183] +
+ vX_[7255] * 2.1e-05 + vX_[7257] * -0.000102);
+ vX_[7258] = vX_[7249] * vX_[169] + vX_[7250] * vX_[1069] + vX_[7251] * vX_[1077];
+ vX_[7259] = 0 - vX_[7258];
+ vX_[7260] = vX_[7249] * vX_[167] + vX_[7250] * vX_[169] + vX_[7251] * vX_[168];
+ vX_[7261] = 0 - vX_[7260];
+ vX_[7262] = vX_[7251] - (vX_[7258] * 38.1956380581338 * 0.110125 + vX_[7260] * 38.1956380581338 * 0.000881 +
+ vX_[7251] * 38.1956380581338 * 0.026181);
+ vX_[7263] = 0 - vX_[7262];
+ vX_[7264] = vX_[7246] * vX_[169] + vX_[7256] * vX_[175];
+ vX_[7265] = 0 - vX_[7264];
+ vX_[7266] = vX_[7246] * vX_[167] + vX_[7256] * vX_[169];
+ vX_[7267] = 0 - vX_[7266];
+ vX_[7268] = 0 - vX_[7262];
+ vX_[7269] = 0 - vX_[7264];
+ vX_[7270] = 0 - vX_[7266];
+ vX_[7271] = vX_[7268] * vX_[1111] + vX_[7269] * vX_[1116] + vX_[7270] * vX_[1120];
+ vX_[7272] = 0 - vX_[7264];
+ vX_[7273] = 0 - vX_[7266];
+ vX_[7274] = vX_[7272] * vX_[1126] + vX_[7273] * vX_[1130];
+ vX_[7275] = 0 - vX_[7274];
+ vX_[7276] = vX_[7248] * vX_[163] + vX_[7259] * vX_[1083] + vX_[7261] * vX_[1088] + vX_[7263] * vX_[1092] +
+ vX_[7265] * vX_[1101] + vX_[7267] * vX_[1109] + vX_[7271] * vX_[1124] + vX_[7275] * vX_[1138];
+ vX_[7277] = vX_[7276] * vX_[1262];
+ vX_[7278] = 0 - vX_[7258];
+ vX_[7279] = 0 - vX_[7260];
+ vX_[7280] = 0 - vX_[7262];
+ vX_[7281] = 0 - vX_[7264];
+ vX_[7282] = 0 - vX_[7266];
+ vX_[7283] = 0 - vX_[7271];
+ vX_[7284] = 0 - vX_[7262];
+ vX_[7285] = 0 - vX_[7264];
+ vX_[7286] = 0 - vX_[7266];
+ vX_[7287] = vX_[7284] * vX_[163] + vX_[7285] * vX_[1082] + vX_[7286] * vX_[1086];
+ vX_[7288] = vX_[7278] * vX_[1126] + vX_[7279] * vX_[1129] + vX_[7280] * vX_[1268] + vX_[7281] * vX_[1274] +
+ vX_[7282] * vX_[1279] + vX_[7283] * vX_[1219] + vX_[7287] * vX_[1138];
+ vX_[7289] = vX_[7288] * vX_[1297];
+ vX_[7290] = 0 - vX_[7277] - vX_[7289];
+ vX_[7291] = vX_[7276] * vX_[1293];
+ vX_[7292] = 0 - vX_[7247];
+ vX_[7293] = 0 - vX_[7258];
+ vX_[7294] = 0 - vX_[7260];
+ vX_[7295] = 0 - vX_[7262];
+ vX_[7296] = 0 - vX_[7264];
+ vX_[7297] = 0 - vX_[7266];
+ vX_[7298] = 0 - vX_[7287];
+ vX_[7299] = vX_[7292] * vX_[1314] + vX_[7293] * vX_[1114] + vX_[7294] * vX_[1119] + vX_[7295] * vX_[1321] +
+ vX_[7296] * vX_[1329] + vX_[7297] * vX_[1337] + vX_[7298] * vX_[1124] + vX_[7274] * vX_[1219];
+ vX_[7300] = vX_[7299] * vX_[1262];
+ vX_[7301] = vX_[7291] + vX_[7300];
+ vX_[7302] = vX_[7288] * vX_[1293];
+ vX_[7303] = vX_[7299] * vX_[1297];
+ vX_[7304] = vX_[7302] + vX_[7303];
+ vX_[7305] = vX_[7288] * vX_[1262];
+ vX_[7306] = vX_[7276] * vX_[1297];
+ vX_[7307] = vX_[7305] - vX_[7306];
+ vX_[7290] = vX_[7290] * vX_[1312] +
+ (vX_[7290] * vX_[1311] + vX_[7301] * vX_[1344] + vX_[7304] * vX_[1348] + vX_[7307] * vX_[1352]) * 2.;
+ vX_[7303] = 0 - vX_[7302] + vX_[7303];
+ vX_[7300] = vX_[7291] - vX_[7300];
+ vX_[7307] = vX_[7307] * vX_[1312] + vX_[7303] * vX_[1345] + vX_[7300] * vX_[1208];
+ vX_[7291] = 0 - vX_[7307];
+ vX_[7302] = vX_[7290] * vX_[1310] + vX_[7291] * vX_[1306];
+ vX_[7308] = vX_[7299] * vX_[1293];
+ vX_[7289] = 0 - vX_[7308] - vX_[7289];
+ vX_[7306] = vX_[7305] + vX_[7306];
+ vX_[7289] = vX_[7301] * vX_[1312] + vX_[7289] * vX_[1345] +
+ (vX_[7289] * vX_[1344] + vX_[7306] * vX_[1348] + vX_[7303] * vX_[1352]) * 2.;
+ vX_[7303] = 0 - vX_[7289];
+ vX_[7308] = 0 - vX_[7308] - vX_[7277];
+ vX_[7308] = vX_[7304] * vX_[1312] + vX_[7306] * vX_[1345] + vX_[7308] * vX_[1208] +
+ (vX_[7308] * vX_[1348] + vX_[7300] * vX_[1352]) * 2.;
+ vX_[7306] = vX_[7303] * vX_[1306] + vX_[7308] * vX_[1310];
+ vX_[7300] = vX_[7289] * vX_[1310] + vX_[7308] * vX_[1306];
+ vX_[7304] = vX_[7290] * vX_[1306] + vX_[7307] * vX_[1310];
+ vX_[7277] = vX_[7143] * vX_[354] + vX_[7141] * vX_[273] + vX_[7133] * vX_[368] + vX_[7128] * vX_[366] +
+ vX_[7159] * vX_[1341];
+ vX_[7301] = vX_[7131] + vX_[7133] * 0.207;
+ vX_[7305] = vX_[7301] * 1 / vX_[351];
+ vX_[7309] = vX_[7277] * 1 / vX_[351];
+ vX_[7310] = vX_[7143] * vX_[1359] + vX_[7141] * vX_[354] + vX_[7133] * vX_[1360] + vX_[7128] * vX_[1361] +
+ vX_[7159] * vX_[274];
+ vX_[7311] = vX_[7310] * 1 / vX_[351];
+ vX_[7312] = vX_[7159] * 1 / vX_[351];
+ vX_[7313] = vX_[7133] * vX_[354] + vX_[7128] * vX_[273];
+ vX_[7314] = vX_[7313] * 1 / vX_[351];
+ vX_[7315] = vX_[7133] * vX_[367] + vX_[7128] * vX_[354];
+ vX_[7316] = vX_[7315] * 1 / vX_[351];
+ vX_[7317] = vX_[7159] - (vX_[7305] * vX_[363] + vX_[7309] * vX_[325] + vX_[7311] * vX_[316] + vX_[7312] * vX_[351] +
+ vX_[7314] * vX_[376] + vX_[7316] * vX_[385]);
+ vX_[7318] = vX_[7277] + vX_[7317] * 0.08;
+ vX_[7319] = vX_[7317] * vX_[304] + vX_[7315] * vX_[276];
+ vX_[7320] = vX_[7318] + vX_[7319] * -0.35;
+ vX_[7321] = 0 - vX_[7320];
+ vX_[7322] = vX_[7301] * vX_[1374] + vX_[7310] * vX_[1375] + vX_[7313] * vX_[1376];
+ vX_[7323] = vX_[7301] * vX_[1378] + vX_[7310] * vX_[303] + vX_[7313] * vX_[321];
+ vX_[7324] = vX_[7322] * 1 / vX_[300];
+ vX_[7325] = vX_[7323] * 1 / vX_[300];
+ vX_[7326] = vX_[7313] * 1 / vX_[300];
+ vX_[7327] = vX_[7319] * 1 / vX_[300];
+ vX_[7328] = vX_[7317] * vX_[276] + vX_[7315] * vX_[303];
+ vX_[7329] = vX_[7328] * 1 / vX_[300];
+ vX_[7330] = vX_[7313] - (vX_[7324] * vX_[311] + vX_[7325] * vX_[298] + vX_[7326] * vX_[300] + vX_[7327] * vX_[307] +
+ vX_[7329] * vX_[288]);
+ vX_[7331] = vX_[7322] * vX_[277] + vX_[7323] * vX_[1380] + vX_[7330] * vX_[1388];
+ vX_[7332] = 0 - vX_[7331];
+ vX_[7333] = vX_[7322] * vX_[279] + vX_[7323] * vX_[277] + vX_[7330] * vX_[282];
+ vX_[7334] = 0 - vX_[7333];
+ vX_[7335] = vX_[7330] - (vX_[7331] * 38.1956380581338 * 0.1104774 + vX_[7333] * 38.1956380581338 * -0.0004405 +
+ vX_[7330] * 38.1956380581338 * 0.026181);
+ vX_[7336] = 0 - vX_[7335];
+ vX_[7337] = vX_[7319] * vX_[277] + vX_[7328] * vX_[280];
+ vX_[7338] = 0 - vX_[7337];
+ vX_[7339] = vX_[7319] * vX_[279] + vX_[7328] * vX_[277];
+ vX_[7340] = 0 - vX_[7339];
+ vX_[7341] = 0 - vX_[7335];
+ vX_[7342] = 0 - vX_[7337];
+ vX_[7343] = 0 - vX_[7339];
+ vX_[7344] = vX_[7341] * vX_[354] + vX_[7342] * vX_[1428] + vX_[7343] * vX_[1431];
+ vX_[7345] = 0 - vX_[7337];
+ vX_[7346] = 0 - vX_[7339];
+ vX_[7347] = vX_[7345] * vX_[1437] + vX_[7346] * vX_[1441];
+ vX_[7348] = 0 - vX_[7347];
+ vX_[7349] = vX_[7321] * vX_[273] + vX_[7332] * vX_[1395] + vX_[7334] * vX_[1400] + vX_[7336] * vX_[1404] +
+ vX_[7338] * vX_[1413] + vX_[7340] * vX_[1422] + vX_[7344] * vX_[1435] + vX_[7348] * vX_[1449];
+ vX_[7350] = vX_[7349] * vX_[1574];
+ vX_[7351] = 0 - vX_[7331];
+ vX_[7352] = 0 - vX_[7333];
+ vX_[7353] = 0 - vX_[7335];
+ vX_[7354] = 0 - vX_[7337];
+ vX_[7355] = 0 - vX_[7339];
+ vX_[7356] = 0 - vX_[7344];
+ vX_[7357] = 0 - vX_[7335];
+ vX_[7358] = 0 - vX_[7337];
+ vX_[7359] = 0 - vX_[7339];
+ vX_[7360] = vX_[7357] * vX_[273] + vX_[7358] * vX_[1394] + vX_[7359] * vX_[1399];
+ vX_[7361] = vX_[7351] * vX_[1437] + vX_[7352] * vX_[1440] + vX_[7353] * vX_[1580] + vX_[7354] * vX_[1586] +
+ vX_[7355] * vX_[1591] + vX_[7356] * vX_[1596] + vX_[7360] * vX_[1449];
+ vX_[7362] = vX_[7361] * vX_[1609];
+ vX_[7363] = 0 - vX_[7350] - vX_[7362];
+ vX_[7364] = vX_[7349] * vX_[1605];
+ vX_[7365] = 0 - vX_[7320];
+ vX_[7366] = 0 - vX_[7331];
+ vX_[7367] = 0 - vX_[7333];
+ vX_[7368] = 0 - vX_[7335];
+ vX_[7369] = 0 - vX_[7337];
+ vX_[7370] = 0 - vX_[7339];
+ vX_[7371] = 0 - vX_[7360];
+ vX_[7372] = vX_[7365] * vX_[354] + vX_[7366] * vX_[1426] + vX_[7367] * vX_[1430] + vX_[7368] * vX_[1631] +
+ vX_[7369] * vX_[1639] + vX_[7370] * vX_[1647] + vX_[7371] * vX_[1435] + vX_[7347] * vX_[1596];
+ vX_[7373] = vX_[7372] * vX_[1574];
+ vX_[7374] = vX_[7364] + vX_[7373];
+ vX_[7375] = vX_[7361] * vX_[1605];
+ vX_[7376] = vX_[7372] * vX_[1609];
+ vX_[7377] = vX_[7375] + vX_[7376];
+ vX_[7378] = vX_[7361] * vX_[1574];
+ vX_[7379] = vX_[7349] * vX_[1609];
+ vX_[7380] = vX_[7378] - vX_[7379];
+ vX_[7363] = vX_[7363] * vX_[1624] +
+ (vX_[7363] * vX_[1623] + vX_[7374] * vX_[1654] + vX_[7377] * vX_[1658] + vX_[7380] * vX_[1662]) * 2.;
+ vX_[7376] = 0 - vX_[7375] + vX_[7376];
+ vX_[7373] = vX_[7364] - vX_[7373];
+ vX_[7380] = vX_[7380] * vX_[1624] + vX_[7376] * vX_[1655] + vX_[7373] * vX_[1519];
+ vX_[7364] = 0 - vX_[7380];
+ vX_[7375] = vX_[7363] * vX_[1622] + vX_[7364] * vX_[1618];
+ vX_[7381] = vX_[7372] * vX_[1605];
+ vX_[7362] = 0 - vX_[7381] - vX_[7362];
+ vX_[7379] = vX_[7378] + vX_[7379];
+ vX_[7362] = vX_[7374] * vX_[1624] + vX_[7362] * vX_[1655] +
+ (vX_[7362] * vX_[1654] + vX_[7379] * vX_[1658] + vX_[7376] * vX_[1662]) * 2.;
+ vX_[7376] = 0 - vX_[7362];
+ vX_[7381] = 0 - vX_[7381] - vX_[7350];
+ vX_[7381] = vX_[7377] * vX_[1624] + vX_[7379] * vX_[1655] + vX_[7381] * vX_[1519] +
+ (vX_[7381] * vX_[1658] + vX_[7373] * vX_[1662]) * 2.;
+ vX_[7379] = vX_[7376] * vX_[1618] + vX_[7381] * vX_[1622];
+ vX_[7373] = vX_[7362] * vX_[1622] + vX_[7381] * vX_[1618];
+ vX_[7377] = vX_[7363] * vX_[1618] + vX_[7380] * vX_[1622];
+ vX_[7350] = vX_[7143] * vX_[473] + vX_[7141] * vX_[1651] + vX_[7133] * vX_[488] + vX_[7128] * vX_[486] +
+ vX_[7159] * vX_[1659];
+ vX_[7374] = vX_[7159] * -1;
+ vX_[7378] = vX_[7131] * -1 + vX_[7133] * 0.207;
+ vX_[7382] = vX_[7378] * 1 / vX_[470];
+ vX_[7383] = vX_[7350] * 1 / vX_[470];
+ vX_[7384] = vX_[7143] * vX_[1671] + vX_[7141] * vX_[1672] + vX_[7133] * vX_[1673] + vX_[7128] * vX_[1674] +
+ vX_[7159] * vX_[392];
+ vX_[7385] = vX_[7384] * 1 / vX_[470];
+ vX_[7386] = vX_[7374] * 1 / vX_[470];
+ vX_[7387] = vX_[7133] * vX_[473] + vX_[7128] * vX_[487];
+ vX_[7388] = vX_[7387] * 1 / vX_[470];
+ vX_[7389] = vX_[7133] * vX_[487] + vX_[7128] * vX_[485];
+ vX_[7390] = vX_[7389] * 1 / vX_[470];
+ vX_[7374] = vX_[7374] - (vX_[7382] * vX_[482] + vX_[7383] * vX_[444] + vX_[7385] * vX_[434] + vX_[7386] * vX_[470] +
+ vX_[7388] * vX_[496] + vX_[7390] * vX_[505]);
+ vX_[7391] = vX_[7350] * -1 + vX_[7374] * -0.08;
+ vX_[7392] = vX_[7374] * vX_[421] + vX_[7389] * vX_[433];
+ vX_[7393] = vX_[7391] + vX_[7392] * -0.35;
+ vX_[7394] = 0 - vX_[7393];
+ vX_[7395] = vX_[7378] * vX_[421] + vX_[7384] * vX_[1686] + vX_[7387] * vX_[1687];
+ vX_[7396] = vX_[7378] * vX_[394] + vX_[7384] * vX_[421] + vX_[7387] * vX_[439];
+ vX_[7397] = vX_[7387] * -1;
+ vX_[7398] = vX_[7395] * 1 / vX_[418];
+ vX_[7399] = vX_[7396] * 1 / vX_[418];
+ vX_[7400] = vX_[7397] * 1 / vX_[418];
+ vX_[7401] = vX_[7392] * 1 / vX_[418];
+ vX_[7402] = vX_[7374] * vX_[394] + vX_[7389] * vX_[421];
+ vX_[7403] = vX_[7402] * 1 / vX_[418];
+ vX_[7397] = vX_[7397] - (vX_[7398] * vX_[428] + vX_[7399] * vX_[416] + vX_[7400] * vX_[418] + vX_[7401] * vX_[424] +
+ vX_[7403] * vX_[406]);
+ vX_[7404] = vX_[7395] * vX_[395] + vX_[7396] * vX_[1690] + vX_[7397] * vX_[1698];
+ vX_[7405] = 0 - vX_[7404];
+ vX_[7406] = vX_[7395] * vX_[397] + vX_[7396] * vX_[395] + vX_[7397] * vX_[400];
+ vX_[7407] = 0 - vX_[7406];
+ vX_[7408] = vX_[7397] - (vX_[7404] * 38.1956380581338 * 0.1104774 + vX_[7406] * 38.1956380581338 * -0.0004405 +
+ vX_[7397] * 38.1956380581338 * 0.026181);
+ vX_[7409] = 0 - vX_[7408];
+ vX_[7410] = vX_[7392] * vX_[395] + vX_[7402] * vX_[398];
+ vX_[7411] = 0 - vX_[7410];
+ vX_[7412] = vX_[7392] * vX_[397] + vX_[7402] * vX_[395];
+ vX_[7413] = 0 - vX_[7412];
+ vX_[7414] = 0 - vX_[7408];
+ vX_[7415] = 0 - vX_[7410];
+ vX_[7416] = 0 - vX_[7412];
+ vX_[7417] = vX_[7414] * vX_[1734] + vX_[7415] * vX_[1739] + vX_[7416] * vX_[1743];
+ vX_[7418] = 0 - vX_[7410];
+ vX_[7419] = 0 - vX_[7412];
+ vX_[7420] = vX_[7418] * vX_[1749] + vX_[7419] * vX_[1753];
+ vX_[7421] = 0 - vX_[7420];
+ vX_[7422] = vX_[7394] * vX_[391] + vX_[7405] * vX_[1705] + vX_[7407] * vX_[1710] + vX_[7409] * vX_[1714] +
+ vX_[7411] * vX_[1723] + vX_[7413] * vX_[1732] + vX_[7417] * vX_[1747] + vX_[7421] * vX_[1761];
+ vX_[7423] = vX_[7422] * vX_[1887];
+ vX_[7424] = 0 - vX_[7404];
+ vX_[7425] = 0 - vX_[7406];
+ vX_[7426] = 0 - vX_[7408];
+ vX_[7427] = 0 - vX_[7410];
+ vX_[7428] = 0 - vX_[7412];
+ vX_[7429] = 0 - vX_[7417];
+ vX_[7430] = 0 - vX_[7408];
+ vX_[7431] = 0 - vX_[7410];
+ vX_[7432] = 0 - vX_[7412];
+ vX_[7433] = vX_[7430] * vX_[391] + vX_[7431] * vX_[1704] + vX_[7432] * vX_[1708];
+ vX_[7434] = vX_[7424] * vX_[1749] + vX_[7425] * vX_[1752] + vX_[7426] * vX_[1893] + vX_[7427] * vX_[1899] +
+ vX_[7428] * vX_[1904] + vX_[7429] * vX_[1911] + vX_[7433] * vX_[1761];
+ vX_[7435] = vX_[7434] * vX_[1923];
+ vX_[7436] = 0 - vX_[7423] - vX_[7435];
+ vX_[7437] = vX_[7422] * vX_[1919];
+ vX_[7438] = 0 - vX_[7393];
+ vX_[7439] = 0 - vX_[7404];
+ vX_[7440] = 0 - vX_[7406];
+ vX_[7441] = 0 - vX_[7408];
+ vX_[7442] = 0 - vX_[7410];
+ vX_[7443] = 0 - vX_[7412];
+ vX_[7444] = 0 - vX_[7433];
+ vX_[7445] = vX_[7438] * vX_[1940] + vX_[7439] * vX_[1737] + vX_[7440] * vX_[1742] + vX_[7441] * vX_[1947] +
+ vX_[7442] * vX_[1955] + vX_[7443] * vX_[1963] + vX_[7444] * vX_[1747] + vX_[7420] * vX_[1911];
+ vX_[7446] = vX_[7445] * vX_[1887];
+ vX_[7447] = vX_[7437] + vX_[7446];
+ vX_[7448] = vX_[7434] * vX_[1919];
+ vX_[7449] = vX_[7445] * vX_[1923];
+ vX_[7450] = vX_[7448] + vX_[7449];
+ vX_[7451] = vX_[7434] * vX_[1887];
+ vX_[7452] = vX_[7422] * vX_[1923];
+ vX_[7453] = vX_[7451] - vX_[7452];
+ vX_[7436] = vX_[7436] * vX_[1938] +
+ (vX_[7436] * vX_[1937] + vX_[7447] * vX_[1970] + vX_[7450] * vX_[1974] + vX_[7453] * vX_[1978]) * 2.;
+ vX_[7449] = 0 - vX_[7448] + vX_[7449];
+ vX_[7446] = vX_[7437] - vX_[7446];
+ vX_[7453] = vX_[7453] * vX_[1938] + vX_[7449] * vX_[1971] + vX_[7446] * vX_[1829];
+ vX_[7437] = 0 - vX_[7453];
+ vX_[7448] = vX_[7436] * vX_[1936] + vX_[7437] * vX_[1932];
+ vX_[7454] = vX_[7445] * vX_[1919];
+ vX_[7435] = 0 - vX_[7454] - vX_[7435];
+ vX_[7452] = vX_[7451] + vX_[7452];
+ vX_[7435] = vX_[7447] * vX_[1938] + vX_[7435] * vX_[1971] +
+ (vX_[7435] * vX_[1970] + vX_[7452] * vX_[1974] + vX_[7449] * vX_[1978]) * 2.;
+ vX_[7449] = 0 - vX_[7435];
+ vX_[7454] = 0 - vX_[7454] - vX_[7423];
+ vX_[7454] = vX_[7450] * vX_[1938] + vX_[7452] * vX_[1971] + vX_[7454] * vX_[1829] +
+ (vX_[7454] * vX_[1974] + vX_[7446] * vX_[1978]) * 2.;
+ vX_[7452] = vX_[7449] * vX_[1932] + vX_[7454] * vX_[1936];
+ vX_[7446] = vX_[7435] * vX_[1936] + vX_[7454] * vX_[1932];
+ vX_[7450] = vX_[7436] * vX_[1932] + vX_[7453] * vX_[1936];
+ vX_[7423] = vX_[7226] * vX_[1982] + vX_[7203] * vX_[1985] + vX_[7215] * vX_[1988];
+ vX_[7447] = vX_[7423] * vX_[950] * -1000.;
+ vX_[7451] = vX_[7447] * vX_[872];
+ vX_[7455] = vX_[7226] * vX_[1994] + vX_[7203] * vX_[1987] + vX_[7215] * vX_[1983];
+ vX_[7456] = vX_[7455] * vX_[950] * -1000.;
+ vX_[7457] = vX_[7456] * vX_[891];
+ vX_[7458] = 0 - vX_[7451] - vX_[7457];
+ vX_[7226] = vX_[7226] * vX_[1986] + vX_[7203] * vX_[1975] + vX_[7215] * vX_[1993];
+ vX_[7215] = vX_[7226] * vX_[950] * -1000.;
+ vX_[7203] = vX_[7215] * vX_[872];
+ vX_[7459] = vX_[7447] * vX_[909];
+ vX_[7460] = vX_[7203] + vX_[7459];
+ vX_[7461] = vX_[7215] * vX_[891];
+ vX_[7462] = vX_[7456] * vX_[909];
+ vX_[7463] = vX_[7461] + vX_[7462];
+ vX_[7464] = vX_[7447] * vX_[891];
+ vX_[7465] = vX_[7456] * vX_[872];
+ vX_[7466] = vX_[7464] - vX_[7465];
+ vX_[7458] = vX_[7458] * vX_[838] +
+ (vX_[7458] * vX_[837] + vX_[7460] * vX_[873] + vX_[7463] * vX_[842] + vX_[7466] * vX_[876]) * 2.;
+ vX_[7462] = 0 - vX_[7461] + vX_[7462];
+ vX_[7459] = vX_[7203] - vX_[7459];
+ vX_[7466] = vX_[7466] * vX_[838] + vX_[7462] * vX_[874] + vX_[7459] * vX_[843];
+ vX_[7203] = 0 - vX_[7466];
+ vX_[7461] = vX_[7458] * vX_[836] + vX_[7203] * vX_[832];
+ vX_[7467] = vX_[7215] * vX_[909];
+ vX_[7457] = 0 - vX_[7467] - vX_[7457];
+ vX_[7465] = vX_[7464] + vX_[7465];
+ vX_[7457] = vX_[7460] * vX_[838] + vX_[7457] * vX_[874] +
+ (vX_[7457] * vX_[873] + vX_[7465] * vX_[842] + vX_[7462] * vX_[876]) * 2.;
+ vX_[7462] = 0 - vX_[7457];
+ vX_[7467] = 0 - vX_[7467] - vX_[7451];
+ vX_[7467] = vX_[7463] * vX_[838] + vX_[7465] * vX_[874] + vX_[7467] * vX_[843] +
+ (vX_[7467] * vX_[842] + vX_[7459] * vX_[876]) * 2.;
+ vX_[7465] = vX_[7462] * vX_[832] + vX_[7467] * vX_[836];
+ vX_[7459] = vX_[7457] * vX_[836] + vX_[7467] * vX_[832];
+ vX_[7463] = vX_[7458] * vX_[832] + vX_[7466] * vX_[836];
+ vX_[7226] = vX_[7226] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[7226] * vX_[844] + vX_[7423] * vX_[910] + vX_[7455] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[7455] = vX_[7226] * vX_[935];
+ vX_[7423] = vX_[7226] * vX_[939];
+ vX_[7451] = (vX_[7455] * vX_[925] + vX_[7423] * vX_[926]) * 2.;
+ vX_[7460] = 0 - vX_[7423];
+ vX_[7464] = vX_[7460] * vX_[936] + vX_[7455] * vX_[927];
+ vX_[7468] = 0 - vX_[7464];
+ vX_[7469] = vX_[7451] * vX_[921] + vX_[7468] * vX_[917];
+ vX_[7470] = vX_[7226] * vX_[946];
+ vX_[7471] = 0 - vX_[7470];
+ vX_[7471] = vX_[7455] * vX_[922] + vX_[7471] * vX_[936] + (vX_[7471] * vX_[925] + vX_[7460] * vX_[928]) * 2.;
+ vX_[7460] = 0 - vX_[7471];
+ vX_[7470] = 0 - vX_[7470];
+ vX_[7470] = vX_[7423] * vX_[922] + vX_[7470] * vX_[927] + (vX_[7470] * vX_[926] + vX_[7455] * vX_[928]) * 2.;
+ vX_[7423] = vX_[7460] * vX_[917] + vX_[7470] * vX_[921];
+ vX_[7455] = vX_[7471] * vX_[921] + vX_[7470] * vX_[917];
+ vX_[7472] = vX_[7451] * vX_[917] + vX_[7464] * vX_[921];
+ vX_[7473] = vX_[7299] * vX_[2014] + vX_[7276] * vX_[2017] + vX_[7288] * vX_[2020];
+ vX_[7474] = vX_[7473] * vX_[1261] * -1000.;
+ vX_[7475] = vX_[7474] * vX_[1189];
+ vX_[7476] = vX_[7299] * vX_[2026] + vX_[7276] * vX_[2019] + vX_[7288] * vX_[2015];
+ vX_[7477] = vX_[7476] * vX_[1261] * -1000.;
+ vX_[7478] = vX_[7477] * vX_[1207];
+ vX_[7479] = 0 - vX_[7475] - vX_[7478];
+ vX_[7299] = vX_[7299] * vX_[2018] + vX_[7276] * vX_[2013] + vX_[7288] * vX_[2025];
+ vX_[7288] = vX_[7299] * vX_[1261] * -1000.;
+ vX_[7276] = vX_[7288] * vX_[1189];
+ vX_[7480] = vX_[7474] * vX_[1226];
+ vX_[7481] = vX_[7276] + vX_[7480];
+ vX_[7482] = vX_[7288] * vX_[1207];
+ vX_[7483] = vX_[7477] * vX_[1226];
+ vX_[7484] = vX_[7482] + vX_[7483];
+ vX_[7485] = vX_[7474] * vX_[1207];
+ vX_[7486] = vX_[7477] * vX_[1189];
+ vX_[7487] = vX_[7485] - vX_[7486];
+ vX_[7479] = vX_[7479] * vX_[1152] +
+ (vX_[7479] * vX_[1151] + vX_[7481] * vX_[1190] + vX_[7484] * vX_[1156] + vX_[7487] * vX_[1193]) * 2.;
+ vX_[7483] = 0 - vX_[7482] + vX_[7483];
+ vX_[7480] = vX_[7276] - vX_[7480];
+ vX_[7487] = vX_[7487] * vX_[1152] + vX_[7483] * vX_[1191] + vX_[7480] * vX_[1157];
+ vX_[7276] = 0 - vX_[7487];
+ vX_[7482] = vX_[7479] * vX_[1150] + vX_[7276] * vX_[1146];
+ vX_[7488] = vX_[7288] * vX_[1226];
+ vX_[7478] = 0 - vX_[7488] - vX_[7478];
+ vX_[7486] = vX_[7485] + vX_[7486];
+ vX_[7478] = vX_[7481] * vX_[1152] + vX_[7478] * vX_[1191] +
+ (vX_[7478] * vX_[1190] + vX_[7486] * vX_[1156] + vX_[7483] * vX_[1193]) * 2.;
+ vX_[7483] = 0 - vX_[7478];
+ vX_[7488] = 0 - vX_[7488] - vX_[7475];
+ vX_[7488] = vX_[7484] * vX_[1152] + vX_[7486] * vX_[1191] + vX_[7488] * vX_[1157] +
+ (vX_[7488] * vX_[1156] + vX_[7480] * vX_[1193]) * 2.;
+ vX_[7486] = vX_[7483] * vX_[1146] + vX_[7488] * vX_[1150];
+ vX_[7480] = vX_[7478] * vX_[1150] + vX_[7488] * vX_[1146];
+ vX_[7484] = vX_[7479] * vX_[1146] + vX_[7487] * vX_[1150];
+ vX_[7299] =
+ vX_[7299] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[7299] * vX_[1158] + vX_[7473] * vX_[1227] + vX_[7476] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[7476] = vX_[7299] * vX_[1250];
+ vX_[7473] = vX_[7299] * vX_[1181];
+ vX_[7475] = (vX_[7476] * vX_[1242] + vX_[7473] * vX_[1243]) * 2.;
+ vX_[7481] = 0 - vX_[7473];
+ vX_[7485] = vX_[7481] * vX_[1251] + vX_[7476] * vX_[1244];
+ vX_[7489] = 0 - vX_[7485];
+ vX_[7490] = vX_[7475] * vX_[1238] + vX_[7489] * vX_[1234];
+ vX_[7491] = vX_[7299] * vX_[1257];
+ vX_[7492] = 0 - vX_[7491];
+ vX_[7492] = vX_[7476] * vX_[1239] + vX_[7492] * vX_[1251] + (vX_[7492] * vX_[1242] + vX_[7481] * vX_[1245]) * 2.;
+ vX_[7481] = 0 - vX_[7492];
+ vX_[7491] = 0 - vX_[7491];
+ vX_[7491] = vX_[7473] * vX_[1239] + vX_[7491] * vX_[1244] + (vX_[7491] * vX_[1243] + vX_[7476] * vX_[1245]) * 2.;
+ vX_[7473] = vX_[7481] * vX_[1234] + vX_[7491] * vX_[1238];
+ vX_[7476] = vX_[7492] * vX_[1238] + vX_[7491] * vX_[1234];
+ vX_[7493] = vX_[7475] * vX_[1234] + vX_[7485] * vX_[1238];
+ vX_[7494] = vX_[7372] * vX_[2046] + vX_[7349] * vX_[2049] + vX_[7361] * vX_[2052];
+ vX_[7495] = vX_[7494] * vX_[1573] * -1000.;
+ vX_[7496] = vX_[7495] * vX_[1499];
+ vX_[7497] = vX_[7372] * vX_[2058] + vX_[7349] * vX_[2051] + vX_[7361] * vX_[2047];
+ vX_[7498] = vX_[7497] * vX_[1573] * -1000.;
+ vX_[7499] = vX_[7498] * vX_[1518];
+ vX_[7500] = 0 - vX_[7496] - vX_[7499];
+ vX_[7372] = vX_[7372] * vX_[2050] + vX_[7349] * vX_[2045] + vX_[7361] * vX_[2057];
+ vX_[7361] = vX_[7372] * vX_[1573] * -1000.;
+ vX_[7349] = vX_[7361] * vX_[1499];
+ vX_[7501] = vX_[7495] * vX_[1536];
+ vX_[7502] = vX_[7349] + vX_[7501];
+ vX_[7503] = vX_[7361] * vX_[1518];
+ vX_[7504] = vX_[7498] * vX_[1536];
+ vX_[7505] = vX_[7503] + vX_[7504];
+ vX_[7506] = vX_[7495] * vX_[1518];
+ vX_[7507] = vX_[7498] * vX_[1499];
+ vX_[7508] = vX_[7506] - vX_[7507];
+ vX_[7500] = vX_[7500] * vX_[1463] +
+ (vX_[7500] * vX_[1462] + vX_[7502] * vX_[1500] + vX_[7505] * vX_[1467] + vX_[7508] * vX_[1503]) * 2.;
+ vX_[7504] = 0 - vX_[7503] + vX_[7504];
+ vX_[7501] = vX_[7349] - vX_[7501];
+ vX_[7508] = vX_[7508] * vX_[1463] + vX_[7504] * vX_[1501] + vX_[7501] * vX_[1468];
+ vX_[7349] = 0 - vX_[7508];
+ vX_[7503] = vX_[7500] * vX_[1461] + vX_[7349] * vX_[1457];
+ vX_[7509] = vX_[7361] * vX_[1536];
+ vX_[7499] = 0 - vX_[7509] - vX_[7499];
+ vX_[7507] = vX_[7506] + vX_[7507];
+ vX_[7499] = vX_[7502] * vX_[1463] + vX_[7499] * vX_[1501] +
+ (vX_[7499] * vX_[1500] + vX_[7507] * vX_[1467] + vX_[7504] * vX_[1503]) * 2.;
+ vX_[7504] = 0 - vX_[7499];
+ vX_[7509] = 0 - vX_[7509] - vX_[7496];
+ vX_[7509] = vX_[7505] * vX_[1463] + vX_[7507] * vX_[1501] + vX_[7509] * vX_[1468] +
+ (vX_[7509] * vX_[1467] + vX_[7501] * vX_[1503]) * 2.;
+ vX_[7507] = vX_[7504] * vX_[1457] + vX_[7509] * vX_[1461];
+ vX_[7501] = vX_[7499] * vX_[1461] + vX_[7509] * vX_[1457];
+ vX_[7505] = vX_[7500] * vX_[1457] + vX_[7508] * vX_[1461];
+ vX_[7372] =
+ vX_[7372] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[7372] * vX_[1469] + vX_[7494] * vX_[1537] + vX_[7497] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[7497] = vX_[7372] * vX_[1560];
+ vX_[7494] = vX_[7372] * vX_[1491];
+ vX_[7496] = (vX_[7497] * vX_[1552] + vX_[7494] * vX_[1553]) * 2.;
+ vX_[7502] = 0 - vX_[7494];
+ vX_[7506] = vX_[7502] * vX_[1561] + vX_[7497] * vX_[1554];
+ vX_[7510] = 0 - vX_[7506];
+ vX_[7511] = vX_[7496] * vX_[1548] + vX_[7510] * vX_[1544];
+ vX_[7512] = vX_[7372] * vX_[1569];
+ vX_[7513] = 0 - vX_[7512];
+ vX_[7513] = vX_[7497] * vX_[1549] + vX_[7513] * vX_[1561] + (vX_[7513] * vX_[1552] + vX_[7502] * vX_[1555]) * 2.;
+ vX_[7502] = 0 - vX_[7513];
+ vX_[7512] = 0 - vX_[7512];
+ vX_[7512] = vX_[7494] * vX_[1549] + vX_[7512] * vX_[1554] + (vX_[7512] * vX_[1553] + vX_[7497] * vX_[1555]) * 2.;
+ vX_[7494] = vX_[7502] * vX_[1544] + vX_[7512] * vX_[1548];
+ vX_[7497] = vX_[7513] * vX_[1548] + vX_[7512] * vX_[1544];
+ vX_[7514] = vX_[7496] * vX_[1544] + vX_[7506] * vX_[1548];
+ vX_[7515] = vX_[7445] * vX_[2078] + vX_[7422] * vX_[2081] + vX_[7434] * vX_[2084];
+ vX_[7516] = vX_[7515] * vX_[1886] * -1000.;
+ vX_[7517] = vX_[7516] * vX_[1809];
+ vX_[7518] = vX_[7445] * vX_[2090] + vX_[7422] * vX_[2083] + vX_[7434] * vX_[2079];
+ vX_[7519] = vX_[7518] * vX_[1886] * -1000.;
+ vX_[7520] = vX_[7519] * vX_[1828];
+ vX_[7521] = 0 - vX_[7517] - vX_[7520];
+ vX_[7445] = vX_[7445] * vX_[2082] + vX_[7422] * vX_[2077] + vX_[7434] * vX_[2089];
+ vX_[7434] = vX_[7445] * vX_[1886] * -1000.;
+ vX_[7422] = vX_[7434] * vX_[1809];
+ vX_[7522] = vX_[7516] * vX_[1846];
+ vX_[7523] = vX_[7422] + vX_[7522];
+ vX_[7524] = vX_[7434] * vX_[1828];
+ vX_[7525] = vX_[7519] * vX_[1846];
+ vX_[7526] = vX_[7524] + vX_[7525];
+ vX_[7527] = vX_[7516] * vX_[1828];
+ vX_[7528] = vX_[7519] * vX_[1809];
+ vX_[7529] = vX_[7527] - vX_[7528];
+ vX_[7521] = vX_[7521] * vX_[1775] +
+ (vX_[7521] * vX_[1774] + vX_[7523] * vX_[1810] + vX_[7526] * vX_[1779] + vX_[7529] * vX_[1813]) * 2.;
+ vX_[7525] = 0 - vX_[7524] + vX_[7525];
+ vX_[7522] = vX_[7422] - vX_[7522];
+ vX_[7529] = vX_[7529] * vX_[1775] + vX_[7525] * vX_[1811] + vX_[7522] * vX_[1780];
+ vX_[7422] = 0 - vX_[7529];
+ vX_[7524] = vX_[7521] * vX_[1773] + vX_[7422] * vX_[1769];
+ vX_[7530] = vX_[7434] * vX_[1846];
+ vX_[7520] = 0 - vX_[7530] - vX_[7520];
+ vX_[7528] = vX_[7527] + vX_[7528];
+ vX_[7520] = vX_[7523] * vX_[1775] + vX_[7520] * vX_[1811] +
+ (vX_[7520] * vX_[1810] + vX_[7528] * vX_[1779] + vX_[7525] * vX_[1813]) * 2.;
+ vX_[7525] = 0 - vX_[7520];
+ vX_[7530] = 0 - vX_[7530] - vX_[7517];
+ vX_[7530] = vX_[7526] * vX_[1775] + vX_[7528] * vX_[1811] + vX_[7530] * vX_[1780] +
+ (vX_[7530] * vX_[1779] + vX_[7522] * vX_[1813]) * 2.;
+ vX_[7528] = vX_[7525] * vX_[1769] + vX_[7530] * vX_[1773];
+ vX_[7522] = vX_[7520] * vX_[1773] + vX_[7530] * vX_[1769];
+ vX_[7526] = vX_[7521] * vX_[1769] + vX_[7529] * vX_[1773];
+ vX_[7445] =
+ vX_[7445] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[7445] * vX_[1781] + vX_[7515] * vX_[1847] + vX_[7518] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[211] = vX_[7226] + vX_[7299] + vX_[7372] + vX_[7445];
+ vX_[7518] = vX_[7445] * vX_[1870];
+ vX_[7515] = vX_[7445] * vX_[1875];
+ vX_[7517] = (vX_[7518] * vX_[1862] + vX_[7515] * vX_[1863]) * 2.;
+ vX_[7523] = 0 - vX_[7515];
+ vX_[7527] = vX_[7523] * vX_[1871] + vX_[7518] * vX_[1864];
+ vX_[7531] = 0 - vX_[7527];
+ vX_[7532] = vX_[7517] * vX_[1858] + vX_[7531] * vX_[1854];
+ vX_[7533] = vX_[7445] * vX_[1882];
+ vX_[7534] = 0 - vX_[7533];
+ vX_[7534] = vX_[7518] * vX_[1859] + vX_[7534] * vX_[1871] + (vX_[7534] * vX_[1862] + vX_[7523] * vX_[1865]) * 2.;
+ vX_[7523] = 0 - vX_[7534];
+ vX_[7533] = 0 - vX_[7533];
+ vX_[7533] = vX_[7515] * vX_[1859] + vX_[7533] * vX_[1864] + (vX_[7533] * vX_[1863] + vX_[7518] * vX_[1865]) * 2.;
+ vX_[7515] = vX_[7523] * vX_[1854] + vX_[7533] * vX_[1858];
+ vX_[7518] = vX_[7534] * vX_[1858] + vX_[7533] * vX_[1854];
+ vX_[7535] = vX_[7517] * vX_[1854] + vX_[7527] * vX_[1858];
+ jac[31] = ((vX_[7229] * vX_[999] + vX_[7233] * vX_[994]) * vX_[1029] -
+ (vX_[7227] * vX_[999] + vX_[7231] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[7302] * vX_[1308] + vX_[7306] * vX_[1303]) * vX_[1340] -
+ (vX_[7300] * vX_[1308] + vX_[7304] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[7375] * vX_[1620] + vX_[7379] * vX_[1615]) * vX_[1650] -
+ (vX_[7373] * vX_[1620] + vX_[7377] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[7448] * vX_[1934] + vX_[7452] * vX_[1929]) * vX_[1966] -
+ (vX_[7446] * vX_[1934] + vX_[7450] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[7461] * vX_[834] + vX_[7465] * vX_[829]) * vX_[1992] -
+ (vX_[7459] * vX_[834] + vX_[7463] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[7469] * vX_[919] + vX_[7423] * vX_[914]) * vX_[1995] -
+ (vX_[7455] * vX_[919] + vX_[7472] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[7482] * vX_[1148] + vX_[7486] * vX_[1143]) * vX_[2024] -
+ (vX_[7480] * vX_[1148] + vX_[7484] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[7490] * vX_[1236] + vX_[7473] * vX_[1231]) * vX_[2027] -
+ (vX_[7476] * vX_[1236] + vX_[7493] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[7503] * vX_[1459] + vX_[7507] * vX_[1454]) * vX_[2056] -
+ (vX_[7501] * vX_[1459] + vX_[7505] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[7511] * vX_[1546] + vX_[7494] * vX_[1541]) * vX_[2059] -
+ (vX_[7497] * vX_[1546] + vX_[7514] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[7524] * vX_[1771] + vX_[7528] * vX_[1766]) * vX_[2088] -
+ (vX_[7522] * vX_[1771] + vX_[7526] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[7532] * vX_[1856] + vX_[7515] * vX_[1851]) * vX_[2091] -
+ (vX_[7518] * vX_[1856] + vX_[7535] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[7536] = -1. + -4.20629464115198 * vX_[1077] + -0.0336503571292158 * vX_[168];
+ vX_[7537] = vX_[7536] * 1 / vX_[183];
+ vX_[7538] = (0 - vX_[7537]) * 2.1e-05;
+ vX_[7539] = (0 - vX_[7537]) * -0.000102;
+ vX_[7540] = vX_[7538] * vX_[186] + vX_[7539] * vX_[166];
+ vX_[7541] = vX_[7540] * 1 / vX_[232];
+ vX_[7542] = 0 - vX_[7541];
+ vX_[7543] = vX_[7542] * vX_[206];
+ vX_[7544] = 0 - vX_[7537];
+ vX_[7545] = -4.20629464115198 * vX_[169] + -0.0336503571292158 * vX_[167] + vX_[7544] * vX_[190];
+ vX_[7546] = 0 - vX_[7537];
+ vX_[7547] = -4.20629464115198 * vX_[1069] + -0.0336503571292158 * vX_[169] + vX_[7546] * vX_[181];
+ vX_[7548] = 0 - vX_[7541];
+ vX_[7549] = vX_[7545] * vX_[1065] + vX_[7547] * vX_[186] + vX_[7548] * vX_[196];
+ vX_[7550] = 0 - vX_[7541];
+ vX_[7540] = vX_[7543] * vX_[1038] + vX_[7549] * vX_[164] + (vX_[7540] + vX_[7550] * vX_[232]) * -1;
+ vX_[7551] = 0 - vX_[7537];
+ vX_[7552] = 0 - vX_[7541];
+ vX_[7536] =
+ vX_[7545] * vX_[1066] + vX_[7547] * vX_[201] + (vX_[7536] + vX_[7551] * vX_[183]) * -1 + vX_[7552] * vX_[258];
+ vX_[7553] = 0 - vX_[7541];
+ vX_[7554] = vX_[7538] * vX_[195] + vX_[7539] * vX_[186] + vX_[7553] * vX_[267];
+ vX_[7555] = 0 - (vX_[7543] * vX_[248] + vX_[7549] * vX_[1053] + vX_[7536] * vX_[249] + vX_[7554] * vX_[247]) +
+ vX_[7540] * vX_[637];
+ vX_[7556] = 0 - vX_[7555];
+ vX_[7557] = 0 - vX_[7541];
+ vX_[7558] = vX_[7545] * vX_[186] + vX_[7547] * vX_[166] + vX_[7557] * vX_[244];
+ vX_[7559] = 0 - vX_[7555];
+ vX_[7560] = 0 - (vX_[7558] * 0.207 + vX_[7543] * vX_[250] + vX_[7549] * vX_[1052] + vX_[7536] * vX_[235] +
+ vX_[7554] * vX_[249]) +
+ vX_[7540] * vX_[624] + vX_[7559] * vX_[668];
+ vX_[7561] = 0 - vX_[7560];
+ vX_[7562] = 0 - vX_[7555];
+ vX_[7563] = 0 - vX_[7560];
+ vX_[7558] = 0 - vX_[7558] * -1 + vX_[7540] * vX_[590] + vX_[7562] * vX_[666] + vX_[7563] * vX_[664];
+ vX_[7564] = 0 - vX_[7558];
+ vX_[7565] = 0 - vX_[7555];
+ vX_[7566] = 0 - vX_[7560];
+ vX_[7567] = 0 - vX_[7558];
+ vX_[7568] = 0 - (vX_[7543] * vX_[1030] + vX_[7549] * vX_[1051]) + vX_[7540] * vX_[723] + vX_[7565] * vX_[725] +
+ vX_[7566] * vX_[731] + vX_[7567] * vX_[737];
+ vX_[7569] = 0 - vX_[7568];
+ vX_[7570] = (0 - (vX_[7543] * vX_[235] + vX_[7549] * vX_[1050]) + vX_[7540] * vX_[620] + vX_[7556] * vX_[602] +
+ vX_[7561] * vX_[604] + vX_[7564] * vX_[722] + vX_[7569] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[7571] = 0 - vX_[7570];
+ vX_[7568] = (vX_[7568] + vX_[7571] * vX_[743]) * 1 / vX_[718];
+ vX_[7572] = 0 - vX_[7570];
+ vX_[7573] = 0 - vX_[7568];
+ vX_[7574] = 0 - vX_[7570];
+ vX_[7575] = 0 - vX_[7568];
+ vX_[7558] = (vX_[7558] + vX_[7574] * vX_[689] + vX_[7575] * vX_[736]) * 1 / vX_[721];
+ vX_[7576] = 0 - vX_[7558];
+ vX_[7560] = (vX_[7560] + vX_[7572] * vX_[682] + vX_[7573] * vX_[730] + vX_[7576] * vX_[509]) * 1 / vX_[618];
+ vX_[7577] = 0 - vX_[7570];
+ vX_[7578] = 0 - vX_[7568];
+ vX_[7579] = 0 - vX_[7558];
+ vX_[7580] = 0 - vX_[7560];
+ vX_[7555] =
+ (vX_[7555] + vX_[7577] * vX_[662] + vX_[7578] * vX_[633] + vX_[7579] * vX_[691] + vX_[7580] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[7581] = 0 - vX_[7570];
+ vX_[7582] = 0 - vX_[7568];
+ vX_[7583] = 0 - vX_[7558];
+ vX_[7584] = 0 - vX_[7560];
+ vX_[7585] = 0 - vX_[7555];
+ vX_[7586] = (0 - vX_[7540] + vX_[7581] * vX_[510] + vX_[7582] * vX_[518] + vX_[7583] * vX_[690] +
+ vX_[7584] * vX_[628] + vX_[7585] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7587] =
+ vX_[7570] * vX_[126] + vX_[7568] * vX_[1] + vX_[7560] * vX_[140] + vX_[7555] * vX_[138] + vX_[7586] * vX_[706];
+ vX_[7588] = vX_[7558] + vX_[7560] * 0.207;
+ vX_[7589] = vX_[7588] * 1 / vX_[123];
+ vX_[7590] = vX_[7587] * 1 / vX_[123];
+ vX_[7591] =
+ vX_[7570] * vX_[729] + vX_[7568] * vX_[126] + vX_[7560] * vX_[728] + vX_[7555] * vX_[727] + vX_[7586] * vX_[27];
+ vX_[7592] = vX_[7591] * 1 / vX_[123];
+ vX_[7593] = vX_[7586] * 1 / vX_[123];
+ vX_[7594] = vX_[7560] * vX_[126] + vX_[7555] * vX_[1];
+ vX_[7595] = vX_[7594] * 1 / vX_[123];
+ vX_[7596] = vX_[7560] * vX_[139] + vX_[7555] * vX_[126];
+ vX_[7597] = vX_[7596] * 1 / vX_[123];
+ vX_[7598] = vX_[7586] - (vX_[7589] * vX_[135] + vX_[7590] * vX_[97] + vX_[7592] * vX_[88] + vX_[7593] * vX_[123] +
+ vX_[7595] * vX_[148] + vX_[7597] * vX_[157]);
+ vX_[7599] = vX_[7587] + vX_[7598] * 0.08;
+ vX_[7600] = vX_[7598] * vX_[76] + vX_[7596] * vX_[4];
+ vX_[7601] = vX_[7599] + vX_[7600] * -0.35;
+ vX_[7602] = 0 - vX_[7601];
+ vX_[7603] = vX_[7588] * vX_[750] + vX_[7591] * vX_[751] + vX_[7594] * vX_[752];
+ vX_[7604] = vX_[7588] * vX_[754] + vX_[7591] * vX_[75] + vX_[7594] * vX_[93];
+ vX_[7605] = vX_[7603] * 1 / vX_[72];
+ vX_[7606] = vX_[7604] * 1 / vX_[72];
+ vX_[7607] = vX_[7594] * 1 / vX_[72];
+ vX_[7608] = vX_[7600] * 1 / vX_[72];
+ vX_[7609] = vX_[7598] * vX_[4] + vX_[7596] * vX_[75];
+ vX_[7610] = vX_[7609] * 1 / vX_[72];
+ vX_[7611] = vX_[7594] - (vX_[7605] * vX_[83] + vX_[7606] * vX_[70] + vX_[7607] * vX_[72] + vX_[7608] * vX_[79] +
+ vX_[7610] * vX_[60]);
+ vX_[7612] = vX_[7603] * vX_[7] + vX_[7604] * vX_[756] + vX_[7611] * vX_[764];
+ vX_[7613] = 0 - vX_[7612];
+ vX_[7614] = vX_[7603] * vX_[51] + vX_[7604] * vX_[7] + vX_[7611] * vX_[54];
+ vX_[7615] = 0 - vX_[7614];
+ vX_[7616] = vX_[7611] - (vX_[7612] * 38.1956380581338 * 0.1104774 + vX_[7614] * 38.1956380581338 * 0.0004405 +
+ vX_[7611] * 38.1956380581338 * 0.026181);
+ vX_[7617] = 0 - vX_[7616];
+ vX_[7618] = vX_[7600] * vX_[7] + vX_[7609] * vX_[52];
+ vX_[7619] = 0 - vX_[7618];
+ vX_[7620] = vX_[7600] * vX_[51] + vX_[7609] * vX_[7];
+ vX_[7621] = 0 - vX_[7620];
+ vX_[7622] = 0 - vX_[7616];
+ vX_[7623] = 0 - vX_[7618];
+ vX_[7624] = 0 - vX_[7620];
+ vX_[7625] = vX_[7622] * vX_[126] + vX_[7623] * vX_[803] + vX_[7624] * vX_[806];
+ vX_[7626] = 0 - vX_[7618];
+ vX_[7627] = 0 - vX_[7620];
+ vX_[7628] = vX_[7626] * vX_[812] + vX_[7627] * vX_[816];
+ vX_[7629] = 0 - vX_[7628];
+ vX_[7630] = vX_[7602] * vX_[1] + vX_[7613] * vX_[771] + vX_[7615] * vX_[776] + vX_[7617] * vX_[780] +
+ vX_[7619] * vX_[789] + vX_[7621] * vX_[797] + vX_[7625] * vX_[810] + vX_[7629] * vX_[824];
+ vX_[7631] = vX_[7630] * vX_[951];
+ vX_[7632] = 0 - vX_[7612];
+ vX_[7633] = 0 - vX_[7614];
+ vX_[7634] = 0 - vX_[7616];
+ vX_[7635] = 0 - vX_[7618];
+ vX_[7636] = 0 - vX_[7620];
+ vX_[7637] = 0 - vX_[7625];
+ vX_[7638] = 0 - vX_[7616];
+ vX_[7639] = 0 - vX_[7618];
+ vX_[7640] = 0 - vX_[7620];
+ vX_[7641] = vX_[7638] * vX_[1] + vX_[7639] * vX_[770] + vX_[7640] * vX_[775];
+ vX_[7642] = vX_[7632] * vX_[812] + vX_[7633] * vX_[815] + vX_[7634] * vX_[957] + vX_[7635] * vX_[963] +
+ vX_[7636] * vX_[968] + vX_[7637] * vX_[975] + vX_[7641] * vX_[824];
+ vX_[7643] = vX_[7642] * vX_[988];
+ vX_[7644] = 0 - vX_[7631] - vX_[7643];
+ vX_[7645] = vX_[7630] * vX_[984];
+ vX_[7646] = 0 - vX_[7601];
+ vX_[7647] = 0 - vX_[7612];
+ vX_[7648] = 0 - vX_[7614];
+ vX_[7649] = 0 - vX_[7616];
+ vX_[7650] = 0 - vX_[7618];
+ vX_[7651] = 0 - vX_[7620];
+ vX_[7652] = 0 - vX_[7641];
+ vX_[7653] = vX_[7646] * vX_[126] + vX_[7647] * vX_[801] + vX_[7648] * vX_[805] + vX_[7649] * vX_[1010] +
+ vX_[7650] * vX_[1018] + vX_[7651] * vX_[1026] + vX_[7652] * vX_[810] + vX_[7628] * vX_[975];
+ vX_[7654] = vX_[7653] * vX_[951];
+ vX_[7655] = vX_[7645] + vX_[7654];
+ vX_[7656] = vX_[7642] * vX_[984];
+ vX_[7657] = vX_[7653] * vX_[988];
+ vX_[7658] = vX_[7656] + vX_[7657];
+ vX_[7659] = vX_[7642] * vX_[951];
+ vX_[7660] = vX_[7630] * vX_[988];
+ vX_[7661] = vX_[7659] - vX_[7660];
+ vX_[7644] = vX_[7644] * vX_[1003] +
+ (vX_[7644] * vX_[1002] + vX_[7655] * vX_[1033] + vX_[7658] * vX_[1037] + vX_[7661] * vX_[1041]) * 2.;
+ vX_[7657] = 0 - vX_[7656] + vX_[7657];
+ vX_[7654] = vX_[7645] - vX_[7654];
+ vX_[7661] = vX_[7661] * vX_[1003] + vX_[7657] * vX_[1034] + vX_[7654] * vX_[892];
+ vX_[7645] = 0 - vX_[7661];
+ vX_[7656] = vX_[7644] * vX_[1001] + vX_[7645] * vX_[997];
+ vX_[7662] = vX_[7653] * vX_[984];
+ vX_[7643] = 0 - vX_[7662] - vX_[7643];
+ vX_[7660] = vX_[7659] + vX_[7660];
+ vX_[7643] = vX_[7655] * vX_[1003] + vX_[7643] * vX_[1034] +
+ (vX_[7643] * vX_[1033] + vX_[7660] * vX_[1037] + vX_[7657] * vX_[1041]) * 2.;
+ vX_[7657] = 0 - vX_[7643];
+ vX_[7662] = 0 - vX_[7662] - vX_[7631];
+ vX_[7662] = vX_[7658] * vX_[1003] + vX_[7660] * vX_[1034] + vX_[7662] * vX_[892] +
+ (vX_[7662] * vX_[1037] + vX_[7654] * vX_[1041]) * 2.;
+ vX_[7660] = vX_[7657] * vX_[997] + vX_[7662] * vX_[1001];
+ vX_[7654] = vX_[7643] * vX_[1001] + vX_[7662] * vX_[997];
+ vX_[7658] = vX_[7644] * vX_[997] + vX_[7661] * vX_[1001];
+ vX_[7631] = vX_[7570] * vX_[235] + vX_[7568] * vX_[1030] + vX_[7560] * vX_[250] + vX_[7555] * vX_[248] +
+ vX_[7586] * vX_[1038];
+ vX_[7655] = vX_[7586] * -1;
+ vX_[7659] = vX_[7558] * -1 + vX_[7560] * 0.207;
+ vX_[7663] = vX_[7659] * 1 / vX_[232];
+ vX_[7664] = vX_[7631] * 1 / vX_[232];
+ vX_[7665] = vX_[7570] * vX_[1050] + vX_[7568] * vX_[1051] + vX_[7560] * vX_[1052] + vX_[7555] * vX_[1053] +
+ vX_[7586] * vX_[164];
+ vX_[7666] = vX_[7665] * 1 / vX_[232];
+ vX_[7667] = vX_[7655] * 1 / vX_[232];
+ vX_[7668] = vX_[7560] * vX_[235] + vX_[7555] * vX_[249];
+ vX_[7669] = vX_[7668] * 1 / vX_[232];
+ vX_[7670] = vX_[7560] * vX_[249] + vX_[7555] * vX_[247];
+ vX_[7671] = vX_[7670] * 1 / vX_[232];
+ vX_[7655] = vX_[7655] - (vX_[7541] + vX_[7663] * vX_[244] + vX_[7664] * vX_[206] + vX_[7666] * vX_[196] +
+ vX_[7667] * vX_[232] + vX_[7669] * vX_[258] + vX_[7671] * vX_[267]);
+ vX_[7672] = vX_[7631] * -1 + vX_[7655] * -0.08;
+ vX_[7673] = vX_[7655] * vX_[186] + vX_[7670] * vX_[195];
+ vX_[7674] = vX_[7672] + vX_[7673] * -0.35;
+ vX_[7675] = 0 - vX_[7674];
+ vX_[7676] = vX_[7659] * vX_[186] + vX_[7665] * vX_[1065] + vX_[7668] * vX_[1066];
+ vX_[7677] = vX_[7659] * vX_[166] + vX_[7665] * vX_[186] + vX_[7668] * vX_[201];
+ vX_[7678] = vX_[7668] * -1;
+ vX_[7679] = vX_[7676] * 1 / vX_[183];
+ vX_[7680] = vX_[7677] * 1 / vX_[183];
+ vX_[7681] = vX_[7678] * 1 / vX_[183];
+ vX_[7682] = vX_[7673] * 1 / vX_[183];
+ vX_[7683] = vX_[7655] * vX_[166] + vX_[7670] * vX_[186];
+ vX_[7684] = vX_[7683] * 1 / vX_[183];
+ vX_[7678] = vX_[7678] - (vX_[7537] + vX_[7679] * vX_[190] + vX_[7680] * vX_[181] + vX_[7681] * vX_[183] +
+ vX_[7682] * 2.1e-05 + vX_[7684] * -0.000102);
+ vX_[7685] = vX_[7676] * vX_[169] + vX_[7677] * vX_[1069] + vX_[7678] * vX_[1077];
+ vX_[7686] = 0 - vX_[7685];
+ vX_[7687] = vX_[7676] * vX_[167] + vX_[7677] * vX_[169] + vX_[7678] * vX_[168];
+ vX_[7688] = 0 - vX_[7687];
+ vX_[7689] = vX_[7678] - (38.1956380581338 + vX_[7685] * 38.1956380581338 * 0.110125 +
+ vX_[7687] * 38.1956380581338 * 0.000881 + vX_[7678] * 38.1956380581338 * 0.026181);
+ vX_[7690] = 0 - vX_[7689];
+ vX_[7691] = vX_[7673] * vX_[169] + vX_[7683] * vX_[175];
+ vX_[7692] = 0 - vX_[7691];
+ vX_[7693] = vX_[7673] * vX_[167] + vX_[7683] * vX_[169];
+ vX_[7694] = 0 - vX_[7693];
+ vX_[7695] = 0 - vX_[7689];
+ vX_[7696] = 0 - vX_[7691];
+ vX_[7697] = 0 - vX_[7693];
+ vX_[7698] = vX_[7695] * vX_[1111] + vX_[7696] * vX_[1116] + vX_[7697] * vX_[1120];
+ vX_[7699] = 0 - vX_[7691];
+ vX_[7700] = 0 - vX_[7693];
+ vX_[7701] = vX_[7699] * vX_[1126] + vX_[7700] * vX_[1130];
+ vX_[7702] = 0 - vX_[7701];
+ vX_[7703] = vX_[7675] * vX_[163] + vX_[7686] * vX_[1083] + vX_[7688] * vX_[1088] + vX_[7690] * vX_[1092] +
+ vX_[7692] * vX_[1101] + vX_[7694] * vX_[1109] + vX_[7698] * vX_[1124] + vX_[7702] * vX_[1138];
+ vX_[7704] = vX_[7703] * vX_[1262];
+ vX_[7705] = 0 - vX_[7685];
+ vX_[7706] = 0 - vX_[7687];
+ vX_[7707] = 0 - vX_[7689];
+ vX_[7708] = 0 - vX_[7691];
+ vX_[7709] = 0 - vX_[7693];
+ vX_[7710] = 0 - vX_[7698];
+ vX_[7711] = 0 - vX_[7689];
+ vX_[7712] = 0 - vX_[7691];
+ vX_[7713] = 0 - vX_[7693];
+ vX_[7714] = vX_[7711] * vX_[163] + vX_[7712] * vX_[1082] + vX_[7713] * vX_[1086];
+ vX_[7715] = vX_[7705] * vX_[1126] + vX_[7706] * vX_[1129] + vX_[7707] * vX_[1268] + vX_[7708] * vX_[1274] +
+ vX_[7709] * vX_[1279] + vX_[7710] * vX_[1219] + vX_[7714] * vX_[1138];
+ vX_[7716] = vX_[7715] * vX_[1297];
+ vX_[7717] = 0 - vX_[7704] - vX_[7716];
+ vX_[7718] = vX_[7703] * vX_[1293];
+ vX_[7719] = 0 - vX_[7674];
+ vX_[7720] = 0 - vX_[7685];
+ vX_[7721] = 0 - vX_[7687];
+ vX_[7722] = 0 - vX_[7689];
+ vX_[7723] = 0 - vX_[7691];
+ vX_[7724] = 0 - vX_[7693];
+ vX_[7725] = 0 - vX_[7714];
+ vX_[7726] = vX_[7719] * vX_[1314] + vX_[7720] * vX_[1114] + vX_[7721] * vX_[1119] + vX_[7722] * vX_[1321] +
+ vX_[7723] * vX_[1329] + vX_[7724] * vX_[1337] + vX_[7725] * vX_[1124] + vX_[7701] * vX_[1219];
+ vX_[7727] = vX_[7726] * vX_[1262];
+ vX_[7728] = vX_[7718] + vX_[7727];
+ vX_[7729] = vX_[7715] * vX_[1293];
+ vX_[7730] = vX_[7726] * vX_[1297];
+ vX_[7731] = vX_[7729] + vX_[7730];
+ vX_[7732] = vX_[7715] * vX_[1262];
+ vX_[7733] = vX_[7703] * vX_[1297];
+ vX_[7734] = vX_[7732] - vX_[7733];
+ vX_[7717] = vX_[7717] * vX_[1312] +
+ (vX_[7717] * vX_[1311] + vX_[7728] * vX_[1344] + vX_[7731] * vX_[1348] + vX_[7734] * vX_[1352]) * 2.;
+ vX_[7730] = 0 - vX_[7729] + vX_[7730];
+ vX_[7727] = vX_[7718] - vX_[7727];
+ vX_[7734] = vX_[7734] * vX_[1312] + vX_[7730] * vX_[1345] + vX_[7727] * vX_[1208];
+ vX_[7718] = 0 - vX_[7734];
+ vX_[7729] = vX_[7717] * vX_[1310] + vX_[7718] * vX_[1306];
+ vX_[7735] = vX_[7726] * vX_[1293];
+ vX_[7716] = 0 - vX_[7735] - vX_[7716];
+ vX_[7733] = vX_[7732] + vX_[7733];
+ vX_[7716] = vX_[7728] * vX_[1312] + vX_[7716] * vX_[1345] +
+ (vX_[7716] * vX_[1344] + vX_[7733] * vX_[1348] + vX_[7730] * vX_[1352]) * 2.;
+ vX_[7730] = 0 - vX_[7716];
+ vX_[7735] = 0 - vX_[7735] - vX_[7704];
+ vX_[7735] = vX_[7731] * vX_[1312] + vX_[7733] * vX_[1345] + vX_[7735] * vX_[1208] +
+ (vX_[7735] * vX_[1348] + vX_[7727] * vX_[1352]) * 2.;
+ vX_[7733] = vX_[7730] * vX_[1306] + vX_[7735] * vX_[1310];
+ vX_[7727] = vX_[7716] * vX_[1310] + vX_[7735] * vX_[1306];
+ vX_[7731] = vX_[7717] * vX_[1306] + vX_[7734] * vX_[1310];
+ vX_[7704] = vX_[7570] * vX_[354] + vX_[7568] * vX_[273] + vX_[7560] * vX_[368] + vX_[7555] * vX_[366] +
+ vX_[7586] * vX_[1341];
+ vX_[7728] = vX_[7558] + vX_[7560] * 0.207;
+ vX_[7732] = vX_[7728] * 1 / vX_[351];
+ vX_[7736] = vX_[7704] * 1 / vX_[351];
+ vX_[7737] = vX_[7570] * vX_[1359] + vX_[7568] * vX_[354] + vX_[7560] * vX_[1360] + vX_[7555] * vX_[1361] +
+ vX_[7586] * vX_[274];
+ vX_[7738] = vX_[7737] * 1 / vX_[351];
+ vX_[7739] = vX_[7586] * 1 / vX_[351];
+ vX_[7740] = vX_[7560] * vX_[354] + vX_[7555] * vX_[273];
+ vX_[7741] = vX_[7740] * 1 / vX_[351];
+ vX_[7742] = vX_[7560] * vX_[367] + vX_[7555] * vX_[354];
+ vX_[7743] = vX_[7742] * 1 / vX_[351];
+ vX_[7744] = vX_[7586] - (vX_[7732] * vX_[363] + vX_[7736] * vX_[325] + vX_[7738] * vX_[316] + vX_[7739] * vX_[351] +
+ vX_[7741] * vX_[376] + vX_[7743] * vX_[385]);
+ vX_[7745] = vX_[7704] + vX_[7744] * 0.08;
+ vX_[7746] = vX_[7744] * vX_[304] + vX_[7742] * vX_[276];
+ vX_[7747] = vX_[7745] + vX_[7746] * -0.35;
+ vX_[7748] = 0 - vX_[7747];
+ vX_[7749] = vX_[7728] * vX_[1374] + vX_[7737] * vX_[1375] + vX_[7740] * vX_[1376];
+ vX_[7750] = vX_[7728] * vX_[1378] + vX_[7737] * vX_[303] + vX_[7740] * vX_[321];
+ vX_[7751] = vX_[7749] * 1 / vX_[300];
+ vX_[7752] = vX_[7750] * 1 / vX_[300];
+ vX_[7753] = vX_[7740] * 1 / vX_[300];
+ vX_[7754] = vX_[7746] * 1 / vX_[300];
+ vX_[7755] = vX_[7744] * vX_[276] + vX_[7742] * vX_[303];
+ vX_[7756] = vX_[7755] * 1 / vX_[300];
+ vX_[7757] = vX_[7740] - (vX_[7751] * vX_[311] + vX_[7752] * vX_[298] + vX_[7753] * vX_[300] + vX_[7754] * vX_[307] +
+ vX_[7756] * vX_[288]);
+ vX_[7758] = vX_[7749] * vX_[277] + vX_[7750] * vX_[1380] + vX_[7757] * vX_[1388];
+ vX_[7759] = 0 - vX_[7758];
+ vX_[7760] = vX_[7749] * vX_[279] + vX_[7750] * vX_[277] + vX_[7757] * vX_[282];
+ vX_[7761] = 0 - vX_[7760];
+ vX_[7762] = vX_[7757] - (vX_[7758] * 38.1956380581338 * 0.1104774 + vX_[7760] * 38.1956380581338 * -0.0004405 +
+ vX_[7757] * 38.1956380581338 * 0.026181);
+ vX_[7763] = 0 - vX_[7762];
+ vX_[7764] = vX_[7746] * vX_[277] + vX_[7755] * vX_[280];
+ vX_[7765] = 0 - vX_[7764];
+ vX_[7766] = vX_[7746] * vX_[279] + vX_[7755] * vX_[277];
+ vX_[7767] = 0 - vX_[7766];
+ vX_[7768] = 0 - vX_[7762];
+ vX_[7769] = 0 - vX_[7764];
+ vX_[7770] = 0 - vX_[7766];
+ vX_[7771] = vX_[7768] * vX_[354] + vX_[7769] * vX_[1428] + vX_[7770] * vX_[1431];
+ vX_[7772] = 0 - vX_[7764];
+ vX_[7773] = 0 - vX_[7766];
+ vX_[7774] = vX_[7772] * vX_[1437] + vX_[7773] * vX_[1441];
+ vX_[7775] = 0 - vX_[7774];
+ vX_[7776] = vX_[7748] * vX_[273] + vX_[7759] * vX_[1395] + vX_[7761] * vX_[1400] + vX_[7763] * vX_[1404] +
+ vX_[7765] * vX_[1413] + vX_[7767] * vX_[1422] + vX_[7771] * vX_[1435] + vX_[7775] * vX_[1449];
+ vX_[7777] = vX_[7776] * vX_[1574];
+ vX_[7778] = 0 - vX_[7758];
+ vX_[7779] = 0 - vX_[7760];
+ vX_[7780] = 0 - vX_[7762];
+ vX_[7781] = 0 - vX_[7764];
+ vX_[7782] = 0 - vX_[7766];
+ vX_[7783] = 0 - vX_[7771];
+ vX_[7784] = 0 - vX_[7762];
+ vX_[7785] = 0 - vX_[7764];
+ vX_[7786] = 0 - vX_[7766];
+ vX_[7787] = vX_[7784] * vX_[273] + vX_[7785] * vX_[1394] + vX_[7786] * vX_[1399];
+ vX_[7788] = vX_[7778] * vX_[1437] + vX_[7779] * vX_[1440] + vX_[7780] * vX_[1580] + vX_[7781] * vX_[1586] +
+ vX_[7782] * vX_[1591] + vX_[7783] * vX_[1596] + vX_[7787] * vX_[1449];
+ vX_[7789] = vX_[7788] * vX_[1609];
+ vX_[7790] = 0 - vX_[7777] - vX_[7789];
+ vX_[7791] = vX_[7776] * vX_[1605];
+ vX_[7792] = 0 - vX_[7747];
+ vX_[7793] = 0 - vX_[7758];
+ vX_[7794] = 0 - vX_[7760];
+ vX_[7795] = 0 - vX_[7762];
+ vX_[7796] = 0 - vX_[7764];
+ vX_[7797] = 0 - vX_[7766];
+ vX_[7798] = 0 - vX_[7787];
+ vX_[7799] = vX_[7792] * vX_[354] + vX_[7793] * vX_[1426] + vX_[7794] * vX_[1430] + vX_[7795] * vX_[1631] +
+ vX_[7796] * vX_[1639] + vX_[7797] * vX_[1647] + vX_[7798] * vX_[1435] + vX_[7774] * vX_[1596];
+ vX_[7800] = vX_[7799] * vX_[1574];
+ vX_[7801] = vX_[7791] + vX_[7800];
+ vX_[7802] = vX_[7788] * vX_[1605];
+ vX_[7803] = vX_[7799] * vX_[1609];
+ vX_[7804] = vX_[7802] + vX_[7803];
+ vX_[7805] = vX_[7788] * vX_[1574];
+ vX_[7806] = vX_[7776] * vX_[1609];
+ vX_[7807] = vX_[7805] - vX_[7806];
+ vX_[7790] = vX_[7790] * vX_[1624] +
+ (vX_[7790] * vX_[1623] + vX_[7801] * vX_[1654] + vX_[7804] * vX_[1658] + vX_[7807] * vX_[1662]) * 2.;
+ vX_[7803] = 0 - vX_[7802] + vX_[7803];
+ vX_[7800] = vX_[7791] - vX_[7800];
+ vX_[7807] = vX_[7807] * vX_[1624] + vX_[7803] * vX_[1655] + vX_[7800] * vX_[1519];
+ vX_[7791] = 0 - vX_[7807];
+ vX_[7802] = vX_[7790] * vX_[1622] + vX_[7791] * vX_[1618];
+ vX_[7808] = vX_[7799] * vX_[1605];
+ vX_[7789] = 0 - vX_[7808] - vX_[7789];
+ vX_[7806] = vX_[7805] + vX_[7806];
+ vX_[7789] = vX_[7801] * vX_[1624] + vX_[7789] * vX_[1655] +
+ (vX_[7789] * vX_[1654] + vX_[7806] * vX_[1658] + vX_[7803] * vX_[1662]) * 2.;
+ vX_[7803] = 0 - vX_[7789];
+ vX_[7808] = 0 - vX_[7808] - vX_[7777];
+ vX_[7808] = vX_[7804] * vX_[1624] + vX_[7806] * vX_[1655] + vX_[7808] * vX_[1519] +
+ (vX_[7808] * vX_[1658] + vX_[7800] * vX_[1662]) * 2.;
+ vX_[7806] = vX_[7803] * vX_[1618] + vX_[7808] * vX_[1622];
+ vX_[7800] = vX_[7789] * vX_[1622] + vX_[7808] * vX_[1618];
+ vX_[7804] = vX_[7790] * vX_[1618] + vX_[7807] * vX_[1622];
+ vX_[7777] = vX_[7570] * vX_[473] + vX_[7568] * vX_[1651] + vX_[7560] * vX_[488] + vX_[7555] * vX_[486] +
+ vX_[7586] * vX_[1659];
+ vX_[7801] = vX_[7586] * -1;
+ vX_[7805] = vX_[7558] * -1 + vX_[7560] * 0.207;
+ vX_[7809] = vX_[7805] * 1 / vX_[470];
+ vX_[7810] = vX_[7777] * 1 / vX_[470];
+ vX_[7811] = vX_[7570] * vX_[1671] + vX_[7568] * vX_[1672] + vX_[7560] * vX_[1673] + vX_[7555] * vX_[1674] +
+ vX_[7586] * vX_[392];
+ vX_[7812] = vX_[7811] * 1 / vX_[470];
+ vX_[7813] = vX_[7801] * 1 / vX_[470];
+ vX_[7814] = vX_[7560] * vX_[473] + vX_[7555] * vX_[487];
+ vX_[7815] = vX_[7814] * 1 / vX_[470];
+ vX_[7816] = vX_[7560] * vX_[487] + vX_[7555] * vX_[485];
+ vX_[7817] = vX_[7816] * 1 / vX_[470];
+ vX_[7801] = vX_[7801] - (vX_[7809] * vX_[482] + vX_[7810] * vX_[444] + vX_[7812] * vX_[434] + vX_[7813] * vX_[470] +
+ vX_[7815] * vX_[496] + vX_[7817] * vX_[505]);
+ vX_[7818] = vX_[7777] * -1 + vX_[7801] * -0.08;
+ vX_[7819] = vX_[7801] * vX_[421] + vX_[7816] * vX_[433];
+ vX_[7820] = vX_[7818] + vX_[7819] * -0.35;
+ vX_[7821] = 0 - vX_[7820];
+ vX_[7822] = vX_[7805] * vX_[421] + vX_[7811] * vX_[1686] + vX_[7814] * vX_[1687];
+ vX_[7823] = vX_[7805] * vX_[394] + vX_[7811] * vX_[421] + vX_[7814] * vX_[439];
+ vX_[7824] = vX_[7814] * -1;
+ vX_[7825] = vX_[7822] * 1 / vX_[418];
+ vX_[7826] = vX_[7823] * 1 / vX_[418];
+ vX_[7827] = vX_[7824] * 1 / vX_[418];
+ vX_[7828] = vX_[7819] * 1 / vX_[418];
+ vX_[7829] = vX_[7801] * vX_[394] + vX_[7816] * vX_[421];
+ vX_[7830] = vX_[7829] * 1 / vX_[418];
+ vX_[7824] = vX_[7824] - (vX_[7825] * vX_[428] + vX_[7826] * vX_[416] + vX_[7827] * vX_[418] + vX_[7828] * vX_[424] +
+ vX_[7830] * vX_[406]);
+ vX_[7831] = vX_[7822] * vX_[395] + vX_[7823] * vX_[1690] + vX_[7824] * vX_[1698];
+ vX_[7832] = 0 - vX_[7831];
+ vX_[7833] = vX_[7822] * vX_[397] + vX_[7823] * vX_[395] + vX_[7824] * vX_[400];
+ vX_[7834] = 0 - vX_[7833];
+ vX_[7835] = vX_[7824] - (vX_[7831] * 38.1956380581338 * 0.1104774 + vX_[7833] * 38.1956380581338 * -0.0004405 +
+ vX_[7824] * 38.1956380581338 * 0.026181);
+ vX_[7836] = 0 - vX_[7835];
+ vX_[7837] = vX_[7819] * vX_[395] + vX_[7829] * vX_[398];
+ vX_[7838] = 0 - vX_[7837];
+ vX_[7839] = vX_[7819] * vX_[397] + vX_[7829] * vX_[395];
+ vX_[7840] = 0 - vX_[7839];
+ vX_[7841] = 0 - vX_[7835];
+ vX_[7842] = 0 - vX_[7837];
+ vX_[7843] = 0 - vX_[7839];
+ vX_[7844] = vX_[7841] * vX_[1734] + vX_[7842] * vX_[1739] + vX_[7843] * vX_[1743];
+ vX_[7845] = 0 - vX_[7837];
+ vX_[7846] = 0 - vX_[7839];
+ vX_[7847] = vX_[7845] * vX_[1749] + vX_[7846] * vX_[1753];
+ vX_[7848] = 0 - vX_[7847];
+ vX_[7849] = vX_[7821] * vX_[391] + vX_[7832] * vX_[1705] + vX_[7834] * vX_[1710] + vX_[7836] * vX_[1714] +
+ vX_[7838] * vX_[1723] + vX_[7840] * vX_[1732] + vX_[7844] * vX_[1747] + vX_[7848] * vX_[1761];
+ vX_[7850] = vX_[7849] * vX_[1887];
+ vX_[7851] = 0 - vX_[7831];
+ vX_[7852] = 0 - vX_[7833];
+ vX_[7853] = 0 - vX_[7835];
+ vX_[7854] = 0 - vX_[7837];
+ vX_[7855] = 0 - vX_[7839];
+ vX_[7856] = 0 - vX_[7844];
+ vX_[7857] = 0 - vX_[7835];
+ vX_[7858] = 0 - vX_[7837];
+ vX_[7859] = 0 - vX_[7839];
+ vX_[7860] = vX_[7857] * vX_[391] + vX_[7858] * vX_[1704] + vX_[7859] * vX_[1708];
+ vX_[7861] = vX_[7851] * vX_[1749] + vX_[7852] * vX_[1752] + vX_[7853] * vX_[1893] + vX_[7854] * vX_[1899] +
+ vX_[7855] * vX_[1904] + vX_[7856] * vX_[1911] + vX_[7860] * vX_[1761];
+ vX_[7862] = vX_[7861] * vX_[1923];
+ vX_[7863] = 0 - vX_[7850] - vX_[7862];
+ vX_[7864] = vX_[7849] * vX_[1919];
+ vX_[7865] = 0 - vX_[7820];
+ vX_[7866] = 0 - vX_[7831];
+ vX_[7867] = 0 - vX_[7833];
+ vX_[7868] = 0 - vX_[7835];
+ vX_[7869] = 0 - vX_[7837];
+ vX_[7870] = 0 - vX_[7839];
+ vX_[7871] = 0 - vX_[7860];
+ vX_[7872] = vX_[7865] * vX_[1940] + vX_[7866] * vX_[1737] + vX_[7867] * vX_[1742] + vX_[7868] * vX_[1947] +
+ vX_[7869] * vX_[1955] + vX_[7870] * vX_[1963] + vX_[7871] * vX_[1747] + vX_[7847] * vX_[1911];
+ vX_[7873] = vX_[7872] * vX_[1887];
+ vX_[7874] = vX_[7864] + vX_[7873];
+ vX_[7875] = vX_[7861] * vX_[1919];
+ vX_[7876] = vX_[7872] * vX_[1923];
+ vX_[7877] = vX_[7875] + vX_[7876];
+ vX_[7878] = vX_[7861] * vX_[1887];
+ vX_[7879] = vX_[7849] * vX_[1923];
+ vX_[7880] = vX_[7878] - vX_[7879];
+ vX_[7863] = vX_[7863] * vX_[1938] +
+ (vX_[7863] * vX_[1937] + vX_[7874] * vX_[1970] + vX_[7877] * vX_[1974] + vX_[7880] * vX_[1978]) * 2.;
+ vX_[7876] = 0 - vX_[7875] + vX_[7876];
+ vX_[7873] = vX_[7864] - vX_[7873];
+ vX_[7880] = vX_[7880] * vX_[1938] + vX_[7876] * vX_[1971] + vX_[7873] * vX_[1829];
+ vX_[7864] = 0 - vX_[7880];
+ vX_[7875] = vX_[7863] * vX_[1936] + vX_[7864] * vX_[1932];
+ vX_[7881] = vX_[7872] * vX_[1919];
+ vX_[7862] = 0 - vX_[7881] - vX_[7862];
+ vX_[7879] = vX_[7878] + vX_[7879];
+ vX_[7862] = vX_[7874] * vX_[1938] + vX_[7862] * vX_[1971] +
+ (vX_[7862] * vX_[1970] + vX_[7879] * vX_[1974] + vX_[7876] * vX_[1978]) * 2.;
+ vX_[7876] = 0 - vX_[7862];
+ vX_[7881] = 0 - vX_[7881] - vX_[7850];
+ vX_[7881] = vX_[7877] * vX_[1938] + vX_[7879] * vX_[1971] + vX_[7881] * vX_[1829] +
+ (vX_[7881] * vX_[1974] + vX_[7873] * vX_[1978]) * 2.;
+ vX_[7879] = vX_[7876] * vX_[1932] + vX_[7881] * vX_[1936];
+ vX_[7873] = vX_[7862] * vX_[1936] + vX_[7881] * vX_[1932];
+ vX_[7877] = vX_[7863] * vX_[1932] + vX_[7880] * vX_[1936];
+ vX_[7850] = vX_[7653] * vX_[1982] + vX_[7630] * vX_[1985] + vX_[7642] * vX_[1988];
+ vX_[7874] = vX_[7850] * vX_[950] * -1000.;
+ vX_[7878] = vX_[7874] * vX_[872];
+ vX_[7882] = vX_[7653] * vX_[1994] + vX_[7630] * vX_[1987] + vX_[7642] * vX_[1983];
+ vX_[7883] = vX_[7882] * vX_[950] * -1000.;
+ vX_[7884] = vX_[7883] * vX_[891];
+ vX_[7885] = 0 - vX_[7878] - vX_[7884];
+ vX_[7653] = vX_[7653] * vX_[1986] + vX_[7630] * vX_[1975] + vX_[7642] * vX_[1993];
+ vX_[7642] = vX_[7653] * vX_[950] * -1000.;
+ vX_[7630] = vX_[7642] * vX_[872];
+ vX_[7886] = vX_[7874] * vX_[909];
+ vX_[7887] = vX_[7630] + vX_[7886];
+ vX_[7888] = vX_[7642] * vX_[891];
+ vX_[7889] = vX_[7883] * vX_[909];
+ vX_[7890] = vX_[7888] + vX_[7889];
+ vX_[7891] = vX_[7874] * vX_[891];
+ vX_[7892] = vX_[7883] * vX_[872];
+ vX_[7893] = vX_[7891] - vX_[7892];
+ vX_[7885] = vX_[7885] * vX_[838] +
+ (vX_[7885] * vX_[837] + vX_[7887] * vX_[873] + vX_[7890] * vX_[842] + vX_[7893] * vX_[876]) * 2.;
+ vX_[7889] = 0 - vX_[7888] + vX_[7889];
+ vX_[7886] = vX_[7630] - vX_[7886];
+ vX_[7893] = vX_[7893] * vX_[838] + vX_[7889] * vX_[874] + vX_[7886] * vX_[843];
+ vX_[7630] = 0 - vX_[7893];
+ vX_[7888] = vX_[7885] * vX_[836] + vX_[7630] * vX_[832];
+ vX_[7894] = vX_[7642] * vX_[909];
+ vX_[7884] = 0 - vX_[7894] - vX_[7884];
+ vX_[7892] = vX_[7891] + vX_[7892];
+ vX_[7884] = vX_[7887] * vX_[838] + vX_[7884] * vX_[874] +
+ (vX_[7884] * vX_[873] + vX_[7892] * vX_[842] + vX_[7889] * vX_[876]) * 2.;
+ vX_[7889] = 0 - vX_[7884];
+ vX_[7894] = 0 - vX_[7894] - vX_[7878];
+ vX_[7894] = vX_[7890] * vX_[838] + vX_[7892] * vX_[874] + vX_[7894] * vX_[843] +
+ (vX_[7894] * vX_[842] + vX_[7886] * vX_[876]) * 2.;
+ vX_[7892] = vX_[7889] * vX_[832] + vX_[7894] * vX_[836];
+ vX_[7886] = vX_[7884] * vX_[836] + vX_[7894] * vX_[832];
+ vX_[7890] = vX_[7885] * vX_[832] + vX_[7893] * vX_[836];
+ vX_[7653] = vX_[7653] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[7653] * vX_[844] + vX_[7850] * vX_[910] + vX_[7882] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[7882] = vX_[7653] * vX_[935];
+ vX_[7850] = vX_[7653] * vX_[939];
+ vX_[7878] = (vX_[7882] * vX_[925] + vX_[7850] * vX_[926]) * 2.;
+ vX_[7887] = 0 - vX_[7850];
+ vX_[7891] = vX_[7887] * vX_[936] + vX_[7882] * vX_[927];
+ vX_[7895] = 0 - vX_[7891];
+ vX_[7896] = vX_[7878] * vX_[921] + vX_[7895] * vX_[917];
+ vX_[7897] = vX_[7653] * vX_[946];
+ vX_[7898] = 0 - vX_[7897];
+ vX_[7898] = vX_[7882] * vX_[922] + vX_[7898] * vX_[936] + (vX_[7898] * vX_[925] + vX_[7887] * vX_[928]) * 2.;
+ vX_[7887] = 0 - vX_[7898];
+ vX_[7897] = 0 - vX_[7897];
+ vX_[7897] = vX_[7850] * vX_[922] + vX_[7897] * vX_[927] + (vX_[7897] * vX_[926] + vX_[7882] * vX_[928]) * 2.;
+ vX_[7850] = vX_[7887] * vX_[917] + vX_[7897] * vX_[921];
+ vX_[7882] = vX_[7898] * vX_[921] + vX_[7897] * vX_[917];
+ vX_[7899] = vX_[7878] * vX_[917] + vX_[7891] * vX_[921];
+ vX_[7900] = vX_[7726] * vX_[2014] + vX_[7703] * vX_[2017] + vX_[7715] * vX_[2020];
+ vX_[7901] = vX_[7900] * vX_[1261] * -1000.;
+ vX_[7902] = vX_[7901] * vX_[1189];
+ vX_[7903] = vX_[7726] * vX_[2026] + vX_[7703] * vX_[2019] + vX_[7715] * vX_[2015];
+ vX_[7904] = vX_[7903] * vX_[1261] * -1000.;
+ vX_[7905] = vX_[7904] * vX_[1207];
+ vX_[7906] = 0 - vX_[7902] - vX_[7905];
+ vX_[7726] = vX_[7726] * vX_[2018] + vX_[7703] * vX_[2013] + vX_[7715] * vX_[2025];
+ vX_[7715] = vX_[7726] * vX_[1261] * -1000.;
+ vX_[7703] = vX_[7715] * vX_[1189];
+ vX_[7907] = vX_[7901] * vX_[1226];
+ vX_[7908] = vX_[7703] + vX_[7907];
+ vX_[7909] = vX_[7715] * vX_[1207];
+ vX_[7910] = vX_[7904] * vX_[1226];
+ vX_[7911] = vX_[7909] + vX_[7910];
+ vX_[7912] = vX_[7901] * vX_[1207];
+ vX_[7913] = vX_[7904] * vX_[1189];
+ vX_[7914] = vX_[7912] - vX_[7913];
+ vX_[7906] = vX_[7906] * vX_[1152] +
+ (vX_[7906] * vX_[1151] + vX_[7908] * vX_[1190] + vX_[7911] * vX_[1156] + vX_[7914] * vX_[1193]) * 2.;
+ vX_[7910] = 0 - vX_[7909] + vX_[7910];
+ vX_[7907] = vX_[7703] - vX_[7907];
+ vX_[7914] = vX_[7914] * vX_[1152] + vX_[7910] * vX_[1191] + vX_[7907] * vX_[1157];
+ vX_[7703] = 0 - vX_[7914];
+ vX_[7909] = vX_[7906] * vX_[1150] + vX_[7703] * vX_[1146];
+ vX_[7915] = vX_[7715] * vX_[1226];
+ vX_[7905] = 0 - vX_[7915] - vX_[7905];
+ vX_[7913] = vX_[7912] + vX_[7913];
+ vX_[7905] = vX_[7908] * vX_[1152] + vX_[7905] * vX_[1191] +
+ (vX_[7905] * vX_[1190] + vX_[7913] * vX_[1156] + vX_[7910] * vX_[1193]) * 2.;
+ vX_[7910] = 0 - vX_[7905];
+ vX_[7915] = 0 - vX_[7915] - vX_[7902];
+ vX_[7915] = vX_[7911] * vX_[1152] + vX_[7913] * vX_[1191] + vX_[7915] * vX_[1157] +
+ (vX_[7915] * vX_[1156] + vX_[7907] * vX_[1193]) * 2.;
+ vX_[7913] = vX_[7910] * vX_[1146] + vX_[7915] * vX_[1150];
+ vX_[7907] = vX_[7905] * vX_[1150] + vX_[7915] * vX_[1146];
+ vX_[7911] = vX_[7906] * vX_[1146] + vX_[7914] * vX_[1150];
+ vX_[7726] =
+ vX_[7726] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[7726] * vX_[1158] + vX_[7900] * vX_[1227] + vX_[7903] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[7903] = vX_[7726] * vX_[1250];
+ vX_[7900] = vX_[7726] * vX_[1181];
+ vX_[7902] = (vX_[7903] * vX_[1242] + vX_[7900] * vX_[1243]) * 2.;
+ vX_[7908] = 0 - vX_[7900];
+ vX_[7912] = vX_[7908] * vX_[1251] + vX_[7903] * vX_[1244];
+ vX_[7916] = 0 - vX_[7912];
+ vX_[7917] = vX_[7902] * vX_[1238] + vX_[7916] * vX_[1234];
+ vX_[7918] = vX_[7726] * vX_[1257];
+ vX_[7919] = 0 - vX_[7918];
+ vX_[7919] = vX_[7903] * vX_[1239] + vX_[7919] * vX_[1251] + (vX_[7919] * vX_[1242] + vX_[7908] * vX_[1245]) * 2.;
+ vX_[7908] = 0 - vX_[7919];
+ vX_[7918] = 0 - vX_[7918];
+ vX_[7918] = vX_[7900] * vX_[1239] + vX_[7918] * vX_[1244] + (vX_[7918] * vX_[1243] + vX_[7903] * vX_[1245]) * 2.;
+ vX_[7900] = vX_[7908] * vX_[1234] + vX_[7918] * vX_[1238];
+ vX_[7903] = vX_[7919] * vX_[1238] + vX_[7918] * vX_[1234];
+ vX_[7920] = vX_[7902] * vX_[1234] + vX_[7912] * vX_[1238];
+ vX_[7921] = vX_[7799] * vX_[2046] + vX_[7776] * vX_[2049] + vX_[7788] * vX_[2052];
+ vX_[7922] = vX_[7921] * vX_[1573] * -1000.;
+ vX_[7923] = vX_[7922] * vX_[1499];
+ vX_[7924] = vX_[7799] * vX_[2058] + vX_[7776] * vX_[2051] + vX_[7788] * vX_[2047];
+ vX_[7925] = vX_[7924] * vX_[1573] * -1000.;
+ vX_[7926] = vX_[7925] * vX_[1518];
+ vX_[7927] = 0 - vX_[7923] - vX_[7926];
+ vX_[7799] = vX_[7799] * vX_[2050] + vX_[7776] * vX_[2045] + vX_[7788] * vX_[2057];
+ vX_[7788] = vX_[7799] * vX_[1573] * -1000.;
+ vX_[7776] = vX_[7788] * vX_[1499];
+ vX_[7928] = vX_[7922] * vX_[1536];
+ vX_[7929] = vX_[7776] + vX_[7928];
+ vX_[7930] = vX_[7788] * vX_[1518];
+ vX_[7931] = vX_[7925] * vX_[1536];
+ vX_[7932] = vX_[7930] + vX_[7931];
+ vX_[7933] = vX_[7922] * vX_[1518];
+ vX_[7934] = vX_[7925] * vX_[1499];
+ vX_[7935] = vX_[7933] - vX_[7934];
+ vX_[7927] = vX_[7927] * vX_[1463] +
+ (vX_[7927] * vX_[1462] + vX_[7929] * vX_[1500] + vX_[7932] * vX_[1467] + vX_[7935] * vX_[1503]) * 2.;
+ vX_[7931] = 0 - vX_[7930] + vX_[7931];
+ vX_[7928] = vX_[7776] - vX_[7928];
+ vX_[7935] = vX_[7935] * vX_[1463] + vX_[7931] * vX_[1501] + vX_[7928] * vX_[1468];
+ vX_[7776] = 0 - vX_[7935];
+ vX_[7930] = vX_[7927] * vX_[1461] + vX_[7776] * vX_[1457];
+ vX_[7936] = vX_[7788] * vX_[1536];
+ vX_[7926] = 0 - vX_[7936] - vX_[7926];
+ vX_[7934] = vX_[7933] + vX_[7934];
+ vX_[7926] = vX_[7929] * vX_[1463] + vX_[7926] * vX_[1501] +
+ (vX_[7926] * vX_[1500] + vX_[7934] * vX_[1467] + vX_[7931] * vX_[1503]) * 2.;
+ vX_[7931] = 0 - vX_[7926];
+ vX_[7936] = 0 - vX_[7936] - vX_[7923];
+ vX_[7936] = vX_[7932] * vX_[1463] + vX_[7934] * vX_[1501] + vX_[7936] * vX_[1468] +
+ (vX_[7936] * vX_[1467] + vX_[7928] * vX_[1503]) * 2.;
+ vX_[7934] = vX_[7931] * vX_[1457] + vX_[7936] * vX_[1461];
+ vX_[7928] = vX_[7926] * vX_[1461] + vX_[7936] * vX_[1457];
+ vX_[7932] = vX_[7927] * vX_[1457] + vX_[7935] * vX_[1461];
+ vX_[7799] =
+ vX_[7799] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[7799] * vX_[1469] + vX_[7921] * vX_[1537] + vX_[7924] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[7924] = vX_[7799] * vX_[1560];
+ vX_[7921] = vX_[7799] * vX_[1491];
+ vX_[7923] = (vX_[7924] * vX_[1552] + vX_[7921] * vX_[1553]) * 2.;
+ vX_[7929] = 0 - vX_[7921];
+ vX_[7933] = vX_[7929] * vX_[1561] + vX_[7924] * vX_[1554];
+ vX_[7937] = 0 - vX_[7933];
+ vX_[7938] = vX_[7923] * vX_[1548] + vX_[7937] * vX_[1544];
+ vX_[7939] = vX_[7799] * vX_[1569];
+ vX_[7940] = 0 - vX_[7939];
+ vX_[7940] = vX_[7924] * vX_[1549] + vX_[7940] * vX_[1561] + (vX_[7940] * vX_[1552] + vX_[7929] * vX_[1555]) * 2.;
+ vX_[7929] = 0 - vX_[7940];
+ vX_[7939] = 0 - vX_[7939];
+ vX_[7939] = vX_[7921] * vX_[1549] + vX_[7939] * vX_[1554] + (vX_[7939] * vX_[1553] + vX_[7924] * vX_[1555]) * 2.;
+ vX_[7921] = vX_[7929] * vX_[1544] + vX_[7939] * vX_[1548];
+ vX_[7924] = vX_[7940] * vX_[1548] + vX_[7939] * vX_[1544];
+ vX_[7941] = vX_[7923] * vX_[1544] + vX_[7933] * vX_[1548];
+ vX_[7942] = vX_[7872] * vX_[2078] + vX_[7849] * vX_[2081] + vX_[7861] * vX_[2084];
+ vX_[7943] = vX_[7942] * vX_[1886] * -1000.;
+ vX_[7944] = vX_[7943] * vX_[1809];
+ vX_[7945] = vX_[7872] * vX_[2090] + vX_[7849] * vX_[2083] + vX_[7861] * vX_[2079];
+ vX_[7946] = vX_[7945] * vX_[1886] * -1000.;
+ vX_[7947] = vX_[7946] * vX_[1828];
+ vX_[7948] = 0 - vX_[7944] - vX_[7947];
+ vX_[7872] = vX_[7872] * vX_[2082] + vX_[7849] * vX_[2077] + vX_[7861] * vX_[2089];
+ vX_[7861] = vX_[7872] * vX_[1886] * -1000.;
+ vX_[7849] = vX_[7861] * vX_[1809];
+ vX_[7949] = vX_[7943] * vX_[1846];
+ vX_[7950] = vX_[7849] + vX_[7949];
+ vX_[7951] = vX_[7861] * vX_[1828];
+ vX_[7952] = vX_[7946] * vX_[1846];
+ vX_[7953] = vX_[7951] + vX_[7952];
+ vX_[7954] = vX_[7943] * vX_[1828];
+ vX_[7955] = vX_[7946] * vX_[1809];
+ vX_[7956] = vX_[7954] - vX_[7955];
+ vX_[7948] = vX_[7948] * vX_[1775] +
+ (vX_[7948] * vX_[1774] + vX_[7950] * vX_[1810] + vX_[7953] * vX_[1779] + vX_[7956] * vX_[1813]) * 2.;
+ vX_[7952] = 0 - vX_[7951] + vX_[7952];
+ vX_[7949] = vX_[7849] - vX_[7949];
+ vX_[7956] = vX_[7956] * vX_[1775] + vX_[7952] * vX_[1811] + vX_[7949] * vX_[1780];
+ vX_[7849] = 0 - vX_[7956];
+ vX_[7951] = vX_[7948] * vX_[1773] + vX_[7849] * vX_[1769];
+ vX_[7957] = vX_[7861] * vX_[1846];
+ vX_[7947] = 0 - vX_[7957] - vX_[7947];
+ vX_[7955] = vX_[7954] + vX_[7955];
+ vX_[7947] = vX_[7950] * vX_[1775] + vX_[7947] * vX_[1811] +
+ (vX_[7947] * vX_[1810] + vX_[7955] * vX_[1779] + vX_[7952] * vX_[1813]) * 2.;
+ vX_[7952] = 0 - vX_[7947];
+ vX_[7957] = 0 - vX_[7957] - vX_[7944];
+ vX_[7957] = vX_[7953] * vX_[1775] + vX_[7955] * vX_[1811] + vX_[7957] * vX_[1780] +
+ (vX_[7957] * vX_[1779] + vX_[7949] * vX_[1813]) * 2.;
+ vX_[7955] = vX_[7952] * vX_[1769] + vX_[7957] * vX_[1773];
+ vX_[7949] = vX_[7947] * vX_[1773] + vX_[7957] * vX_[1769];
+ vX_[7953] = vX_[7948] * vX_[1769] + vX_[7956] * vX_[1773];
+ vX_[7872] =
+ vX_[7872] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[7872] * vX_[1781] + vX_[7942] * vX_[1847] + vX_[7945] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[212] = vX_[7653] + vX_[7726] + vX_[7799] + vX_[7872];
+ vX_[7945] = vX_[7872] * vX_[1870];
+ vX_[7942] = vX_[7872] * vX_[1875];
+ vX_[7944] = (vX_[7945] * vX_[1862] + vX_[7942] * vX_[1863]) * 2.;
+ vX_[7950] = 0 - vX_[7942];
+ vX_[7954] = vX_[7950] * vX_[1871] + vX_[7945] * vX_[1864];
+ vX_[7958] = 0 - vX_[7954];
+ vX_[7959] = vX_[7944] * vX_[1858] + vX_[7958] * vX_[1854];
+ vX_[7960] = vX_[7872] * vX_[1882];
+ vX_[7961] = 0 - vX_[7960];
+ vX_[7961] = vX_[7945] * vX_[1859] + vX_[7961] * vX_[1871] + (vX_[7961] * vX_[1862] + vX_[7950] * vX_[1865]) * 2.;
+ vX_[7950] = 0 - vX_[7961];
+ vX_[7960] = 0 - vX_[7960];
+ vX_[7960] = vX_[7942] * vX_[1859] + vX_[7960] * vX_[1864] + (vX_[7960] * vX_[1863] + vX_[7945] * vX_[1865]) * 2.;
+ vX_[7942] = vX_[7950] * vX_[1854] + vX_[7960] * vX_[1858];
+ vX_[7945] = vX_[7961] * vX_[1858] + vX_[7960] * vX_[1854];
+ vX_[7962] = vX_[7944] * vX_[1854] + vX_[7954] * vX_[1858];
+ jac[32] = ((vX_[7656] * vX_[999] + vX_[7660] * vX_[994]) * vX_[1029] -
+ (vX_[7654] * vX_[999] + vX_[7658] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[7729] * vX_[1308] + vX_[7733] * vX_[1303]) * vX_[1340] -
+ (vX_[7727] * vX_[1308] + vX_[7731] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[7802] * vX_[1620] + vX_[7806] * vX_[1615]) * vX_[1650] -
+ (vX_[7800] * vX_[1620] + vX_[7804] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[7875] * vX_[1934] + vX_[7879] * vX_[1929]) * vX_[1966] -
+ (vX_[7873] * vX_[1934] + vX_[7877] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[7888] * vX_[834] + vX_[7892] * vX_[829]) * vX_[1992] -
+ (vX_[7886] * vX_[834] + vX_[7890] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[7896] * vX_[919] + vX_[7850] * vX_[914]) * vX_[1995] -
+ (vX_[7882] * vX_[919] + vX_[7899] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[7909] * vX_[1148] + vX_[7913] * vX_[1143]) * vX_[2024] -
+ (vX_[7907] * vX_[1148] + vX_[7911] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[7917] * vX_[1236] + vX_[7900] * vX_[1231]) * vX_[2027] -
+ (vX_[7903] * vX_[1236] + vX_[7920] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[7930] * vX_[1459] + vX_[7934] * vX_[1454]) * vX_[2056] -
+ (vX_[7928] * vX_[1459] + vX_[7932] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[7938] * vX_[1546] + vX_[7921] * vX_[1541]) * vX_[2059] -
+ (vX_[7924] * vX_[1546] + vX_[7941] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[7951] * vX_[1771] + vX_[7955] * vX_[1766]) * vX_[2088] -
+ (vX_[7949] * vX_[1771] + vX_[7953] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[7959] * vX_[1856] + vX_[7942] * vX_[1851]) * vX_[2091] -
+ (vX_[7945] * vX_[1856] + vX_[7962] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[7963] = 1 / vX_[123];
+ vX_[7964] = 0 - vX_[7963];
+ vX_[7965] = vX_[7964] * vX_[97];
+ vX_[7966] = 0 - vX_[7963];
+ vX_[7967] = vX_[7966] * vX_[88];
+ vX_[7968] = 0 - vX_[7963];
+ vX_[7969] = vX_[7968] * vX_[123] + vX_[7965] * vX_[706] + vX_[7967] * vX_[27];
+ vX_[7970] = 0 - vX_[7963];
+ vX_[7971] = vX_[7970] * vX_[148];
+ vX_[7972] = 0 - vX_[7963];
+ vX_[7973] = vX_[7972] * vX_[157];
+ vX_[7974] = 0 - (vX_[7965] * vX_[138] + vX_[7967] * vX_[727] + vX_[7971] * vX_[1] + vX_[7973] * vX_[126]) +
+ vX_[7969] * vX_[637];
+ vX_[7975] = 0 - vX_[7974];
+ vX_[7976] = 0 - vX_[7963];
+ vX_[7977] = vX_[7976] * vX_[135];
+ vX_[7978] = 0 - vX_[7974];
+ vX_[7979] = 0 - (vX_[7977] * 0.207 + vX_[7965] * vX_[140] + vX_[7967] * vX_[728] + vX_[7971] * vX_[126] +
+ vX_[7973] * vX_[139]) +
+ vX_[7969] * vX_[624] + vX_[7978] * vX_[668];
+ vX_[7980] = 0 - vX_[7979];
+ vX_[7981] = 0 - vX_[7974];
+ vX_[7982] = 0 - vX_[7979];
+ vX_[7977] = 0 - vX_[7977] + vX_[7969] * vX_[590] + vX_[7981] * vX_[666] + vX_[7982] * vX_[664];
+ vX_[7983] = 0 - vX_[7977];
+ vX_[7984] = 0 - vX_[7974];
+ vX_[7985] = 0 - vX_[7979];
+ vX_[7986] = 0 - vX_[7977];
+ vX_[7987] = 0 - (vX_[7965] * vX_[1] + vX_[7967] * vX_[126]) + vX_[7969] * vX_[723] + vX_[7984] * vX_[725] +
+ vX_[7985] * vX_[731] + vX_[7986] * vX_[737];
+ vX_[7988] = 0 - vX_[7987];
+ vX_[7989] = (0 - (vX_[7965] * vX_[126] + vX_[7967] * vX_[729]) + vX_[7969] * vX_[620] + vX_[7975] * vX_[602] +
+ vX_[7980] * vX_[604] + vX_[7983] * vX_[722] + vX_[7988] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[7990] = 0 - vX_[7989];
+ vX_[7987] = (vX_[7987] + vX_[7990] * vX_[743]) * 1 / vX_[718];
+ vX_[7991] = 0 - vX_[7989];
+ vX_[7992] = 0 - vX_[7987];
+ vX_[7993] = 0 - vX_[7989];
+ vX_[7994] = 0 - vX_[7987];
+ vX_[7977] = (vX_[7977] + vX_[7993] * vX_[689] + vX_[7994] * vX_[736]) * 1 / vX_[721];
+ vX_[7995] = 0 - vX_[7977];
+ vX_[7979] = (vX_[7979] + vX_[7991] * vX_[682] + vX_[7992] * vX_[730] + vX_[7995] * vX_[509]) * 1 / vX_[618];
+ vX_[7996] = 0 - vX_[7989];
+ vX_[7997] = 0 - vX_[7987];
+ vX_[7998] = 0 - vX_[7977];
+ vX_[7999] = 0 - vX_[7979];
+ vX_[7974] =
+ (vX_[7974] + vX_[7996] * vX_[662] + vX_[7997] * vX_[633] + vX_[7998] * vX_[691] + vX_[7999] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[8000] = 0 - vX_[7989];
+ vX_[8001] = 0 - vX_[7987];
+ vX_[8002] = 0 - vX_[7977];
+ vX_[8003] = 0 - vX_[7979];
+ vX_[8004] = 0 - vX_[7974];
+ vX_[8005] = (0 - vX_[7969] + vX_[8000] * vX_[510] + vX_[8001] * vX_[518] + vX_[8002] * vX_[690] +
+ vX_[8003] * vX_[628] + vX_[8004] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8006] =
+ vX_[7989] * vX_[126] + vX_[7987] * vX_[1] + vX_[7979] * vX_[140] + vX_[7974] * vX_[138] + vX_[8005] * vX_[706];
+ vX_[8007] = vX_[7977] + vX_[7979] * 0.207;
+ vX_[8008] = vX_[8007] * 1 / vX_[123];
+ vX_[8009] = vX_[8006] * 1 / vX_[123];
+ vX_[8010] =
+ vX_[7989] * vX_[729] + vX_[7987] * vX_[126] + vX_[7979] * vX_[728] + vX_[7974] * vX_[727] + vX_[8005] * vX_[27];
+ vX_[8011] = vX_[8010] * 1 / vX_[123];
+ vX_[8012] = vX_[8005] * 1 / vX_[123];
+ vX_[8013] = vX_[7979] * vX_[126] + vX_[7974] * vX_[1];
+ vX_[8014] = vX_[8013] * 1 / vX_[123];
+ vX_[8015] = vX_[7979] * vX_[139] + vX_[7974] * vX_[126];
+ vX_[8016] = vX_[8015] * 1 / vX_[123];
+ vX_[8017] = vX_[8005] - (vX_[7963] + vX_[8008] * vX_[135] + vX_[8009] * vX_[97] + vX_[8011] * vX_[88] +
+ vX_[8012] * vX_[123] + vX_[8014] * vX_[148] + vX_[8016] * vX_[157]);
+ vX_[8018] = vX_[8006] + vX_[8017] * 0.08;
+ vX_[8019] = vX_[8017] * vX_[76] + vX_[8015] * vX_[4];
+ vX_[8020] = vX_[8018] + vX_[8019] * -0.35;
+ vX_[8021] = 0 - vX_[8020];
+ vX_[8022] = vX_[8007] * vX_[750] + vX_[8010] * vX_[751] + vX_[8013] * vX_[752];
+ vX_[8023] = vX_[8007] * vX_[754] + vX_[8010] * vX_[75] + vX_[8013] * vX_[93];
+ vX_[8024] = vX_[8022] * 1 / vX_[72];
+ vX_[8025] = vX_[8023] * 1 / vX_[72];
+ vX_[8026] = vX_[8013] * 1 / vX_[72];
+ vX_[8027] = vX_[8019] * 1 / vX_[72];
+ vX_[8028] = vX_[8017] * vX_[4] + vX_[8015] * vX_[75];
+ vX_[8029] = vX_[8028] * 1 / vX_[72];
+ vX_[8030] = vX_[8013] - (vX_[8024] * vX_[83] + vX_[8025] * vX_[70] + vX_[8026] * vX_[72] + vX_[8027] * vX_[79] +
+ vX_[8029] * vX_[60]);
+ vX_[8031] = vX_[8022] * vX_[7] + vX_[8023] * vX_[756] + vX_[8030] * vX_[764];
+ vX_[8032] = 0 - vX_[8031];
+ vX_[8033] = vX_[8022] * vX_[51] + vX_[8023] * vX_[7] + vX_[8030] * vX_[54];
+ vX_[8034] = 0 - vX_[8033];
+ vX_[8035] = vX_[8030] - (vX_[8031] * 38.1956380581338 * 0.1104774 + vX_[8033] * 38.1956380581338 * 0.0004405 +
+ vX_[8030] * 38.1956380581338 * 0.026181);
+ vX_[8036] = 0 - vX_[8035];
+ vX_[8037] = vX_[8019] * vX_[7] + vX_[8028] * vX_[52];
+ vX_[8038] = 0 - vX_[8037];
+ vX_[8039] = vX_[8019] * vX_[51] + vX_[8028] * vX_[7];
+ vX_[8040] = 0 - vX_[8039];
+ vX_[8041] = 0 - vX_[8035];
+ vX_[8042] = 0 - vX_[8037];
+ vX_[8043] = 0 - vX_[8039];
+ vX_[8044] = vX_[8041] * vX_[126] + vX_[8042] * vX_[803] + vX_[8043] * vX_[806];
+ vX_[8045] = 0 - vX_[8037];
+ vX_[8046] = 0 - vX_[8039];
+ vX_[8047] = vX_[8045] * vX_[812] + vX_[8046] * vX_[816];
+ vX_[8048] = 0 - vX_[8047];
+ vX_[8049] = vX_[8021] * vX_[1] + vX_[8032] * vX_[771] + vX_[8034] * vX_[776] + vX_[8036] * vX_[780] +
+ vX_[8038] * vX_[789] + vX_[8040] * vX_[797] + vX_[8044] * vX_[810] + vX_[8048] * vX_[824];
+ vX_[8050] = vX_[8049] * vX_[951];
+ vX_[8051] = 0 - vX_[8031];
+ vX_[8052] = 0 - vX_[8033];
+ vX_[8053] = 0 - vX_[8035];
+ vX_[8054] = 0 - vX_[8037];
+ vX_[8055] = 0 - vX_[8039];
+ vX_[8056] = 0 - vX_[8044];
+ vX_[8057] = 0 - vX_[8035];
+ vX_[8058] = 0 - vX_[8037];
+ vX_[8059] = 0 - vX_[8039];
+ vX_[8060] = vX_[8057] * vX_[1] + vX_[8058] * vX_[770] + vX_[8059] * vX_[775];
+ vX_[8061] = vX_[8051] * vX_[812] + vX_[8052] * vX_[815] + vX_[8053] * vX_[957] + vX_[8054] * vX_[963] +
+ vX_[8055] * vX_[968] + vX_[8056] * vX_[975] + vX_[8060] * vX_[824];
+ vX_[8062] = vX_[8061] * vX_[988];
+ vX_[8063] = 0 - vX_[8050] - vX_[8062];
+ vX_[8064] = vX_[8049] * vX_[984];
+ vX_[8065] = 0 - vX_[8020];
+ vX_[8066] = 0 - vX_[8031];
+ vX_[8067] = 0 - vX_[8033];
+ vX_[8068] = 0 - vX_[8035];
+ vX_[8069] = 0 - vX_[8037];
+ vX_[8070] = 0 - vX_[8039];
+ vX_[8071] = 0 - vX_[8060];
+ vX_[8072] = vX_[8065] * vX_[126] + vX_[8066] * vX_[801] + vX_[8067] * vX_[805] + vX_[8068] * vX_[1010] +
+ vX_[8069] * vX_[1018] + vX_[8070] * vX_[1026] + vX_[8071] * vX_[810] + vX_[8047] * vX_[975];
+ vX_[8073] = vX_[8072] * vX_[951];
+ vX_[8074] = vX_[8064] + vX_[8073];
+ vX_[8075] = vX_[8061] * vX_[984];
+ vX_[8076] = vX_[8072] * vX_[988];
+ vX_[8077] = vX_[8075] + vX_[8076];
+ vX_[8078] = vX_[8061] * vX_[951];
+ vX_[8079] = vX_[8049] * vX_[988];
+ vX_[8080] = vX_[8078] - vX_[8079];
+ vX_[8063] = vX_[8063] * vX_[1003] +
+ (vX_[8063] * vX_[1002] + vX_[8074] * vX_[1033] + vX_[8077] * vX_[1037] + vX_[8080] * vX_[1041]) * 2.;
+ vX_[8076] = 0 - vX_[8075] + vX_[8076];
+ vX_[8073] = vX_[8064] - vX_[8073];
+ vX_[8080] = vX_[8080] * vX_[1003] + vX_[8076] * vX_[1034] + vX_[8073] * vX_[892];
+ vX_[8064] = 0 - vX_[8080];
+ vX_[8075] = vX_[8063] * vX_[1001] + vX_[8064] * vX_[997];
+ vX_[8081] = vX_[8072] * vX_[984];
+ vX_[8062] = 0 - vX_[8081] - vX_[8062];
+ vX_[8079] = vX_[8078] + vX_[8079];
+ vX_[8062] = vX_[8074] * vX_[1003] + vX_[8062] * vX_[1034] +
+ (vX_[8062] * vX_[1033] + vX_[8079] * vX_[1037] + vX_[8076] * vX_[1041]) * 2.;
+ vX_[8076] = 0 - vX_[8062];
+ vX_[8081] = 0 - vX_[8081] - vX_[8050];
+ vX_[8081] = vX_[8077] * vX_[1003] + vX_[8079] * vX_[1034] + vX_[8081] * vX_[892] +
+ (vX_[8081] * vX_[1037] + vX_[8073] * vX_[1041]) * 2.;
+ vX_[8079] = vX_[8076] * vX_[997] + vX_[8081] * vX_[1001];
+ vX_[8073] = vX_[8062] * vX_[1001] + vX_[8081] * vX_[997];
+ vX_[8077] = vX_[8063] * vX_[997] + vX_[8080] * vX_[1001];
+ vX_[8050] = vX_[7989] * vX_[235] + vX_[7987] * vX_[1030] + vX_[7979] * vX_[250] + vX_[7974] * vX_[248] +
+ vX_[8005] * vX_[1038];
+ vX_[8074] = vX_[8005] * -1;
+ vX_[8078] = vX_[7977] * -1 + vX_[7979] * 0.207;
+ vX_[8082] = vX_[8078] * 1 / vX_[232];
+ vX_[8083] = vX_[8050] * 1 / vX_[232];
+ vX_[8084] = vX_[7989] * vX_[1050] + vX_[7987] * vX_[1051] + vX_[7979] * vX_[1052] + vX_[7974] * vX_[1053] +
+ vX_[8005] * vX_[164];
+ vX_[8085] = vX_[8084] * 1 / vX_[232];
+ vX_[8086] = vX_[8074] * 1 / vX_[232];
+ vX_[8087] = vX_[7979] * vX_[235] + vX_[7974] * vX_[249];
+ vX_[8088] = vX_[8087] * 1 / vX_[232];
+ vX_[8089] = vX_[7979] * vX_[249] + vX_[7974] * vX_[247];
+ vX_[8090] = vX_[8089] * 1 / vX_[232];
+ vX_[8074] = vX_[8074] - (vX_[8082] * vX_[244] + vX_[8083] * vX_[206] + vX_[8085] * vX_[196] + vX_[8086] * vX_[232] +
+ vX_[8088] * vX_[258] + vX_[8090] * vX_[267]);
+ vX_[8091] = vX_[8050] * -1 + vX_[8074] * -0.08;
+ vX_[8092] = vX_[8074] * vX_[186] + vX_[8089] * vX_[195];
+ vX_[8093] = vX_[8091] + vX_[8092] * -0.35;
+ vX_[8094] = 0 - vX_[8093];
+ vX_[8095] = vX_[8078] * vX_[186] + vX_[8084] * vX_[1065] + vX_[8087] * vX_[1066];
+ vX_[8096] = vX_[8078] * vX_[166] + vX_[8084] * vX_[186] + vX_[8087] * vX_[201];
+ vX_[8097] = vX_[8087] * -1;
+ vX_[8098] = vX_[8095] * 1 / vX_[183];
+ vX_[8099] = vX_[8096] * 1 / vX_[183];
+ vX_[8100] = vX_[8097] * 1 / vX_[183];
+ vX_[8101] = vX_[8092] * 1 / vX_[183];
+ vX_[8102] = vX_[8074] * vX_[166] + vX_[8089] * vX_[186];
+ vX_[8103] = vX_[8102] * 1 / vX_[183];
+ vX_[8097] = vX_[8097] - (vX_[8098] * vX_[190] + vX_[8099] * vX_[181] + vX_[8100] * vX_[183] + vX_[8101] * 2.1e-05 +
+ vX_[8103] * -0.000102);
+ vX_[8104] = vX_[8095] * vX_[169] + vX_[8096] * vX_[1069] + vX_[8097] * vX_[1077];
+ vX_[8105] = 0 - vX_[8104];
+ vX_[8106] = vX_[8095] * vX_[167] + vX_[8096] * vX_[169] + vX_[8097] * vX_[168];
+ vX_[8107] = 0 - vX_[8106];
+ vX_[8108] = vX_[8097] - (vX_[8104] * 38.1956380581338 * 0.110125 + vX_[8106] * 38.1956380581338 * 0.000881 +
+ vX_[8097] * 38.1956380581338 * 0.026181);
+ vX_[8109] = 0 - vX_[8108];
+ vX_[8110] = vX_[8092] * vX_[169] + vX_[8102] * vX_[175];
+ vX_[8111] = 0 - vX_[8110];
+ vX_[8112] = vX_[8092] * vX_[167] + vX_[8102] * vX_[169];
+ vX_[8113] = 0 - vX_[8112];
+ vX_[8114] = 0 - vX_[8108];
+ vX_[8115] = 0 - vX_[8110];
+ vX_[8116] = 0 - vX_[8112];
+ vX_[8117] = vX_[8114] * vX_[1111] + vX_[8115] * vX_[1116] + vX_[8116] * vX_[1120];
+ vX_[8118] = 0 - vX_[8110];
+ vX_[8119] = 0 - vX_[8112];
+ vX_[8120] = vX_[8118] * vX_[1126] + vX_[8119] * vX_[1130];
+ vX_[8121] = 0 - vX_[8120];
+ vX_[8122] = vX_[8094] * vX_[163] + vX_[8105] * vX_[1083] + vX_[8107] * vX_[1088] + vX_[8109] * vX_[1092] +
+ vX_[8111] * vX_[1101] + vX_[8113] * vX_[1109] + vX_[8117] * vX_[1124] + vX_[8121] * vX_[1138];
+ vX_[8123] = vX_[8122] * vX_[1262];
+ vX_[8124] = 0 - vX_[8104];
+ vX_[8125] = 0 - vX_[8106];
+ vX_[8126] = 0 - vX_[8108];
+ vX_[8127] = 0 - vX_[8110];
+ vX_[8128] = 0 - vX_[8112];
+ vX_[8129] = 0 - vX_[8117];
+ vX_[8130] = 0 - vX_[8108];
+ vX_[8131] = 0 - vX_[8110];
+ vX_[8132] = 0 - vX_[8112];
+ vX_[8133] = vX_[8130] * vX_[163] + vX_[8131] * vX_[1082] + vX_[8132] * vX_[1086];
+ vX_[8134] = vX_[8124] * vX_[1126] + vX_[8125] * vX_[1129] + vX_[8126] * vX_[1268] + vX_[8127] * vX_[1274] +
+ vX_[8128] * vX_[1279] + vX_[8129] * vX_[1219] + vX_[8133] * vX_[1138];
+ vX_[8135] = vX_[8134] * vX_[1297];
+ vX_[8136] = 0 - vX_[8123] - vX_[8135];
+ vX_[8137] = vX_[8122] * vX_[1293];
+ vX_[8138] = 0 - vX_[8093];
+ vX_[8139] = 0 - vX_[8104];
+ vX_[8140] = 0 - vX_[8106];
+ vX_[8141] = 0 - vX_[8108];
+ vX_[8142] = 0 - vX_[8110];
+ vX_[8143] = 0 - vX_[8112];
+ vX_[8144] = 0 - vX_[8133];
+ vX_[8145] = vX_[8138] * vX_[1314] + vX_[8139] * vX_[1114] + vX_[8140] * vX_[1119] + vX_[8141] * vX_[1321] +
+ vX_[8142] * vX_[1329] + vX_[8143] * vX_[1337] + vX_[8144] * vX_[1124] + vX_[8120] * vX_[1219];
+ vX_[8146] = vX_[8145] * vX_[1262];
+ vX_[8147] = vX_[8137] + vX_[8146];
+ vX_[8148] = vX_[8134] * vX_[1293];
+ vX_[8149] = vX_[8145] * vX_[1297];
+ vX_[8150] = vX_[8148] + vX_[8149];
+ vX_[8151] = vX_[8134] * vX_[1262];
+ vX_[8152] = vX_[8122] * vX_[1297];
+ vX_[8153] = vX_[8151] - vX_[8152];
+ vX_[8136] = vX_[8136] * vX_[1312] +
+ (vX_[8136] * vX_[1311] + vX_[8147] * vX_[1344] + vX_[8150] * vX_[1348] + vX_[8153] * vX_[1352]) * 2.;
+ vX_[8149] = 0 - vX_[8148] + vX_[8149];
+ vX_[8146] = vX_[8137] - vX_[8146];
+ vX_[8153] = vX_[8153] * vX_[1312] + vX_[8149] * vX_[1345] + vX_[8146] * vX_[1208];
+ vX_[8137] = 0 - vX_[8153];
+ vX_[8148] = vX_[8136] * vX_[1310] + vX_[8137] * vX_[1306];
+ vX_[8154] = vX_[8145] * vX_[1293];
+ vX_[8135] = 0 - vX_[8154] - vX_[8135];
+ vX_[8152] = vX_[8151] + vX_[8152];
+ vX_[8135] = vX_[8147] * vX_[1312] + vX_[8135] * vX_[1345] +
+ (vX_[8135] * vX_[1344] + vX_[8152] * vX_[1348] + vX_[8149] * vX_[1352]) * 2.;
+ vX_[8149] = 0 - vX_[8135];
+ vX_[8154] = 0 - vX_[8154] - vX_[8123];
+ vX_[8154] = vX_[8150] * vX_[1312] + vX_[8152] * vX_[1345] + vX_[8154] * vX_[1208] +
+ (vX_[8154] * vX_[1348] + vX_[8146] * vX_[1352]) * 2.;
+ vX_[8152] = vX_[8149] * vX_[1306] + vX_[8154] * vX_[1310];
+ vX_[8146] = vX_[8135] * vX_[1310] + vX_[8154] * vX_[1306];
+ vX_[8150] = vX_[8136] * vX_[1306] + vX_[8153] * vX_[1310];
+ vX_[8123] = vX_[7989] * vX_[354] + vX_[7987] * vX_[273] + vX_[7979] * vX_[368] + vX_[7974] * vX_[366] +
+ vX_[8005] * vX_[1341];
+ vX_[8147] = vX_[7977] + vX_[7979] * 0.207;
+ vX_[8151] = vX_[8147] * 1 / vX_[351];
+ vX_[8155] = vX_[8123] * 1 / vX_[351];
+ vX_[8156] = vX_[7989] * vX_[1359] + vX_[7987] * vX_[354] + vX_[7979] * vX_[1360] + vX_[7974] * vX_[1361] +
+ vX_[8005] * vX_[274];
+ vX_[8157] = vX_[8156] * 1 / vX_[351];
+ vX_[8158] = vX_[8005] * 1 / vX_[351];
+ vX_[8159] = vX_[7979] * vX_[354] + vX_[7974] * vX_[273];
+ vX_[8160] = vX_[8159] * 1 / vX_[351];
+ vX_[8161] = vX_[7979] * vX_[367] + vX_[7974] * vX_[354];
+ vX_[8162] = vX_[8161] * 1 / vX_[351];
+ vX_[8163] = vX_[8005] - (vX_[8151] * vX_[363] + vX_[8155] * vX_[325] + vX_[8157] * vX_[316] + vX_[8158] * vX_[351] +
+ vX_[8160] * vX_[376] + vX_[8162] * vX_[385]);
+ vX_[8164] = vX_[8123] + vX_[8163] * 0.08;
+ vX_[8165] = vX_[8163] * vX_[304] + vX_[8161] * vX_[276];
+ vX_[8166] = vX_[8164] + vX_[8165] * -0.35;
+ vX_[8167] = 0 - vX_[8166];
+ vX_[8168] = vX_[8147] * vX_[1374] + vX_[8156] * vX_[1375] + vX_[8159] * vX_[1376];
+ vX_[8169] = vX_[8147] * vX_[1378] + vX_[8156] * vX_[303] + vX_[8159] * vX_[321];
+ vX_[8170] = vX_[8168] * 1 / vX_[300];
+ vX_[8171] = vX_[8169] * 1 / vX_[300];
+ vX_[8172] = vX_[8159] * 1 / vX_[300];
+ vX_[8173] = vX_[8165] * 1 / vX_[300];
+ vX_[8174] = vX_[8163] * vX_[276] + vX_[8161] * vX_[303];
+ vX_[8175] = vX_[8174] * 1 / vX_[300];
+ vX_[8176] = vX_[8159] - (vX_[8170] * vX_[311] + vX_[8171] * vX_[298] + vX_[8172] * vX_[300] + vX_[8173] * vX_[307] +
+ vX_[8175] * vX_[288]);
+ vX_[8177] = vX_[8168] * vX_[277] + vX_[8169] * vX_[1380] + vX_[8176] * vX_[1388];
+ vX_[8178] = 0 - vX_[8177];
+ vX_[8179] = vX_[8168] * vX_[279] + vX_[8169] * vX_[277] + vX_[8176] * vX_[282];
+ vX_[8180] = 0 - vX_[8179];
+ vX_[8181] = vX_[8176] - (vX_[8177] * 38.1956380581338 * 0.1104774 + vX_[8179] * 38.1956380581338 * -0.0004405 +
+ vX_[8176] * 38.1956380581338 * 0.026181);
+ vX_[8182] = 0 - vX_[8181];
+ vX_[8183] = vX_[8165] * vX_[277] + vX_[8174] * vX_[280];
+ vX_[8184] = 0 - vX_[8183];
+ vX_[8185] = vX_[8165] * vX_[279] + vX_[8174] * vX_[277];
+ vX_[8186] = 0 - vX_[8185];
+ vX_[8187] = 0 - vX_[8181];
+ vX_[8188] = 0 - vX_[8183];
+ vX_[8189] = 0 - vX_[8185];
+ vX_[8190] = vX_[8187] * vX_[354] + vX_[8188] * vX_[1428] + vX_[8189] * vX_[1431];
+ vX_[8191] = 0 - vX_[8183];
+ vX_[8192] = 0 - vX_[8185];
+ vX_[8193] = vX_[8191] * vX_[1437] + vX_[8192] * vX_[1441];
+ vX_[8194] = 0 - vX_[8193];
+ vX_[8195] = vX_[8167] * vX_[273] + vX_[8178] * vX_[1395] + vX_[8180] * vX_[1400] + vX_[8182] * vX_[1404] +
+ vX_[8184] * vX_[1413] + vX_[8186] * vX_[1422] + vX_[8190] * vX_[1435] + vX_[8194] * vX_[1449];
+ vX_[8196] = vX_[8195] * vX_[1574];
+ vX_[8197] = 0 - vX_[8177];
+ vX_[8198] = 0 - vX_[8179];
+ vX_[8199] = 0 - vX_[8181];
+ vX_[8200] = 0 - vX_[8183];
+ vX_[8201] = 0 - vX_[8185];
+ vX_[8202] = 0 - vX_[8190];
+ vX_[8203] = 0 - vX_[8181];
+ vX_[8204] = 0 - vX_[8183];
+ vX_[8205] = 0 - vX_[8185];
+ vX_[8206] = vX_[8203] * vX_[273] + vX_[8204] * vX_[1394] + vX_[8205] * vX_[1399];
+ vX_[8207] = vX_[8197] * vX_[1437] + vX_[8198] * vX_[1440] + vX_[8199] * vX_[1580] + vX_[8200] * vX_[1586] +
+ vX_[8201] * vX_[1591] + vX_[8202] * vX_[1596] + vX_[8206] * vX_[1449];
+ vX_[8208] = vX_[8207] * vX_[1609];
+ vX_[8209] = 0 - vX_[8196] - vX_[8208];
+ vX_[8210] = vX_[8195] * vX_[1605];
+ vX_[8211] = 0 - vX_[8166];
+ vX_[8212] = 0 - vX_[8177];
+ vX_[8213] = 0 - vX_[8179];
+ vX_[8214] = 0 - vX_[8181];
+ vX_[8215] = 0 - vX_[8183];
+ vX_[8216] = 0 - vX_[8185];
+ vX_[8217] = 0 - vX_[8206];
+ vX_[8218] = vX_[8211] * vX_[354] + vX_[8212] * vX_[1426] + vX_[8213] * vX_[1430] + vX_[8214] * vX_[1631] +
+ vX_[8215] * vX_[1639] + vX_[8216] * vX_[1647] + vX_[8217] * vX_[1435] + vX_[8193] * vX_[1596];
+ vX_[8219] = vX_[8218] * vX_[1574];
+ vX_[8220] = vX_[8210] + vX_[8219];
+ vX_[8221] = vX_[8207] * vX_[1605];
+ vX_[8222] = vX_[8218] * vX_[1609];
+ vX_[8223] = vX_[8221] + vX_[8222];
+ vX_[8224] = vX_[8207] * vX_[1574];
+ vX_[8225] = vX_[8195] * vX_[1609];
+ vX_[8226] = vX_[8224] - vX_[8225];
+ vX_[8209] = vX_[8209] * vX_[1624] +
+ (vX_[8209] * vX_[1623] + vX_[8220] * vX_[1654] + vX_[8223] * vX_[1658] + vX_[8226] * vX_[1662]) * 2.;
+ vX_[8222] = 0 - vX_[8221] + vX_[8222];
+ vX_[8219] = vX_[8210] - vX_[8219];
+ vX_[8226] = vX_[8226] * vX_[1624] + vX_[8222] * vX_[1655] + vX_[8219] * vX_[1519];
+ vX_[8210] = 0 - vX_[8226];
+ vX_[8221] = vX_[8209] * vX_[1622] + vX_[8210] * vX_[1618];
+ vX_[8227] = vX_[8218] * vX_[1605];
+ vX_[8208] = 0 - vX_[8227] - vX_[8208];
+ vX_[8225] = vX_[8224] + vX_[8225];
+ vX_[8208] = vX_[8220] * vX_[1624] + vX_[8208] * vX_[1655] +
+ (vX_[8208] * vX_[1654] + vX_[8225] * vX_[1658] + vX_[8222] * vX_[1662]) * 2.;
+ vX_[8222] = 0 - vX_[8208];
+ vX_[8227] = 0 - vX_[8227] - vX_[8196];
+ vX_[8227] = vX_[8223] * vX_[1624] + vX_[8225] * vX_[1655] + vX_[8227] * vX_[1519] +
+ (vX_[8227] * vX_[1658] + vX_[8219] * vX_[1662]) * 2.;
+ vX_[8225] = vX_[8222] * vX_[1618] + vX_[8227] * vX_[1622];
+ vX_[8219] = vX_[8208] * vX_[1622] + vX_[8227] * vX_[1618];
+ vX_[8223] = vX_[8209] * vX_[1618] + vX_[8226] * vX_[1622];
+ vX_[8196] = vX_[7989] * vX_[473] + vX_[7987] * vX_[1651] + vX_[7979] * vX_[488] + vX_[7974] * vX_[486] +
+ vX_[8005] * vX_[1659];
+ vX_[8220] = vX_[8005] * -1;
+ vX_[8224] = vX_[7977] * -1 + vX_[7979] * 0.207;
+ vX_[8228] = vX_[8224] * 1 / vX_[470];
+ vX_[8229] = vX_[8196] * 1 / vX_[470];
+ vX_[8230] = vX_[7989] * vX_[1671] + vX_[7987] * vX_[1672] + vX_[7979] * vX_[1673] + vX_[7974] * vX_[1674] +
+ vX_[8005] * vX_[392];
+ vX_[8231] = vX_[8230] * 1 / vX_[470];
+ vX_[8232] = vX_[8220] * 1 / vX_[470];
+ vX_[8233] = vX_[7979] * vX_[473] + vX_[7974] * vX_[487];
+ vX_[8234] = vX_[8233] * 1 / vX_[470];
+ vX_[8235] = vX_[7979] * vX_[487] + vX_[7974] * vX_[485];
+ vX_[8236] = vX_[8235] * 1 / vX_[470];
+ vX_[8220] = vX_[8220] - (vX_[8228] * vX_[482] + vX_[8229] * vX_[444] + vX_[8231] * vX_[434] + vX_[8232] * vX_[470] +
+ vX_[8234] * vX_[496] + vX_[8236] * vX_[505]);
+ vX_[8237] = vX_[8196] * -1 + vX_[8220] * -0.08;
+ vX_[8238] = vX_[8220] * vX_[421] + vX_[8235] * vX_[433];
+ vX_[8239] = vX_[8237] + vX_[8238] * -0.35;
+ vX_[8240] = 0 - vX_[8239];
+ vX_[8241] = vX_[8224] * vX_[421] + vX_[8230] * vX_[1686] + vX_[8233] * vX_[1687];
+ vX_[8242] = vX_[8224] * vX_[394] + vX_[8230] * vX_[421] + vX_[8233] * vX_[439];
+ vX_[8243] = vX_[8233] * -1;
+ vX_[8244] = vX_[8241] * 1 / vX_[418];
+ vX_[8245] = vX_[8242] * 1 / vX_[418];
+ vX_[8246] = vX_[8243] * 1 / vX_[418];
+ vX_[8247] = vX_[8238] * 1 / vX_[418];
+ vX_[8248] = vX_[8220] * vX_[394] + vX_[8235] * vX_[421];
+ vX_[8249] = vX_[8248] * 1 / vX_[418];
+ vX_[8243] = vX_[8243] - (vX_[8244] * vX_[428] + vX_[8245] * vX_[416] + vX_[8246] * vX_[418] + vX_[8247] * vX_[424] +
+ vX_[8249] * vX_[406]);
+ vX_[8250] = vX_[8241] * vX_[395] + vX_[8242] * vX_[1690] + vX_[8243] * vX_[1698];
+ vX_[8251] = 0 - vX_[8250];
+ vX_[8252] = vX_[8241] * vX_[397] + vX_[8242] * vX_[395] + vX_[8243] * vX_[400];
+ vX_[8253] = 0 - vX_[8252];
+ vX_[8254] = vX_[8243] - (vX_[8250] * 38.1956380581338 * 0.1104774 + vX_[8252] * 38.1956380581338 * -0.0004405 +
+ vX_[8243] * 38.1956380581338 * 0.026181);
+ vX_[8255] = 0 - vX_[8254];
+ vX_[8256] = vX_[8238] * vX_[395] + vX_[8248] * vX_[398];
+ vX_[8257] = 0 - vX_[8256];
+ vX_[8258] = vX_[8238] * vX_[397] + vX_[8248] * vX_[395];
+ vX_[8259] = 0 - vX_[8258];
+ vX_[8260] = 0 - vX_[8254];
+ vX_[8261] = 0 - vX_[8256];
+ vX_[8262] = 0 - vX_[8258];
+ vX_[8263] = vX_[8260] * vX_[1734] + vX_[8261] * vX_[1739] + vX_[8262] * vX_[1743];
+ vX_[8264] = 0 - vX_[8256];
+ vX_[8265] = 0 - vX_[8258];
+ vX_[8266] = vX_[8264] * vX_[1749] + vX_[8265] * vX_[1753];
+ vX_[8267] = 0 - vX_[8266];
+ vX_[8268] = vX_[8240] * vX_[391] + vX_[8251] * vX_[1705] + vX_[8253] * vX_[1710] + vX_[8255] * vX_[1714] +
+ vX_[8257] * vX_[1723] + vX_[8259] * vX_[1732] + vX_[8263] * vX_[1747] + vX_[8267] * vX_[1761];
+ vX_[8269] = vX_[8268] * vX_[1887];
+ vX_[8270] = 0 - vX_[8250];
+ vX_[8271] = 0 - vX_[8252];
+ vX_[8272] = 0 - vX_[8254];
+ vX_[8273] = 0 - vX_[8256];
+ vX_[8274] = 0 - vX_[8258];
+ vX_[8275] = 0 - vX_[8263];
+ vX_[8276] = 0 - vX_[8254];
+ vX_[8277] = 0 - vX_[8256];
+ vX_[8278] = 0 - vX_[8258];
+ vX_[8279] = vX_[8276] * vX_[391] + vX_[8277] * vX_[1704] + vX_[8278] * vX_[1708];
+ vX_[8280] = vX_[8270] * vX_[1749] + vX_[8271] * vX_[1752] + vX_[8272] * vX_[1893] + vX_[8273] * vX_[1899] +
+ vX_[8274] * vX_[1904] + vX_[8275] * vX_[1911] + vX_[8279] * vX_[1761];
+ vX_[8281] = vX_[8280] * vX_[1923];
+ vX_[8282] = 0 - vX_[8269] - vX_[8281];
+ vX_[8283] = vX_[8268] * vX_[1919];
+ vX_[8284] = 0 - vX_[8239];
+ vX_[8285] = 0 - vX_[8250];
+ vX_[8286] = 0 - vX_[8252];
+ vX_[8287] = 0 - vX_[8254];
+ vX_[8288] = 0 - vX_[8256];
+ vX_[8289] = 0 - vX_[8258];
+ vX_[8290] = 0 - vX_[8279];
+ vX_[8291] = vX_[8284] * vX_[1940] + vX_[8285] * vX_[1737] + vX_[8286] * vX_[1742] + vX_[8287] * vX_[1947] +
+ vX_[8288] * vX_[1955] + vX_[8289] * vX_[1963] + vX_[8290] * vX_[1747] + vX_[8266] * vX_[1911];
+ vX_[8292] = vX_[8291] * vX_[1887];
+ vX_[8293] = vX_[8283] + vX_[8292];
+ vX_[8294] = vX_[8280] * vX_[1919];
+ vX_[8295] = vX_[8291] * vX_[1923];
+ vX_[8296] = vX_[8294] + vX_[8295];
+ vX_[8297] = vX_[8280] * vX_[1887];
+ vX_[8298] = vX_[8268] * vX_[1923];
+ vX_[8299] = vX_[8297] - vX_[8298];
+ vX_[8282] = vX_[8282] * vX_[1938] +
+ (vX_[8282] * vX_[1937] + vX_[8293] * vX_[1970] + vX_[8296] * vX_[1974] + vX_[8299] * vX_[1978]) * 2.;
+ vX_[8295] = 0 - vX_[8294] + vX_[8295];
+ vX_[8292] = vX_[8283] - vX_[8292];
+ vX_[8299] = vX_[8299] * vX_[1938] + vX_[8295] * vX_[1971] + vX_[8292] * vX_[1829];
+ vX_[8283] = 0 - vX_[8299];
+ vX_[8294] = vX_[8282] * vX_[1936] + vX_[8283] * vX_[1932];
+ vX_[8300] = vX_[8291] * vX_[1919];
+ vX_[8281] = 0 - vX_[8300] - vX_[8281];
+ vX_[8298] = vX_[8297] + vX_[8298];
+ vX_[8281] = vX_[8293] * vX_[1938] + vX_[8281] * vX_[1971] +
+ (vX_[8281] * vX_[1970] + vX_[8298] * vX_[1974] + vX_[8295] * vX_[1978]) * 2.;
+ vX_[8295] = 0 - vX_[8281];
+ vX_[8300] = 0 - vX_[8300] - vX_[8269];
+ vX_[8300] = vX_[8296] * vX_[1938] + vX_[8298] * vX_[1971] + vX_[8300] * vX_[1829] +
+ (vX_[8300] * vX_[1974] + vX_[8292] * vX_[1978]) * 2.;
+ vX_[8298] = vX_[8295] * vX_[1932] + vX_[8300] * vX_[1936];
+ vX_[8292] = vX_[8281] * vX_[1936] + vX_[8300] * vX_[1932];
+ vX_[8296] = vX_[8282] * vX_[1932] + vX_[8299] * vX_[1936];
+ vX_[8269] = vX_[8072] * vX_[1982] + vX_[8049] * vX_[1985] + vX_[8061] * vX_[1988];
+ vX_[8293] = vX_[8269] * vX_[950] * -1000.;
+ vX_[8297] = vX_[8293] * vX_[872];
+ vX_[8301] = vX_[8072] * vX_[1994] + vX_[8049] * vX_[1987] + vX_[8061] * vX_[1983];
+ vX_[8302] = vX_[8301] * vX_[950] * -1000.;
+ vX_[8303] = vX_[8302] * vX_[891];
+ vX_[8304] = 0 - vX_[8297] - vX_[8303];
+ vX_[8072] = vX_[8072] * vX_[1986] + vX_[8049] * vX_[1975] + vX_[8061] * vX_[1993];
+ vX_[8061] = vX_[8072] * vX_[950] * -1000.;
+ vX_[8049] = vX_[8061] * vX_[872];
+ vX_[8305] = vX_[8293] * vX_[909];
+ vX_[8306] = vX_[8049] + vX_[8305];
+ vX_[8307] = vX_[8061] * vX_[891];
+ vX_[8308] = vX_[8302] * vX_[909];
+ vX_[8309] = vX_[8307] + vX_[8308];
+ vX_[8310] = vX_[8293] * vX_[891];
+ vX_[8311] = vX_[8302] * vX_[872];
+ vX_[8312] = vX_[8310] - vX_[8311];
+ vX_[8304] = vX_[8304] * vX_[838] +
+ (vX_[8304] * vX_[837] + vX_[8306] * vX_[873] + vX_[8309] * vX_[842] + vX_[8312] * vX_[876]) * 2.;
+ vX_[8308] = 0 - vX_[8307] + vX_[8308];
+ vX_[8305] = vX_[8049] - vX_[8305];
+ vX_[8312] = vX_[8312] * vX_[838] + vX_[8308] * vX_[874] + vX_[8305] * vX_[843];
+ vX_[8049] = 0 - vX_[8312];
+ vX_[8307] = vX_[8304] * vX_[836] + vX_[8049] * vX_[832];
+ vX_[8313] = vX_[8061] * vX_[909];
+ vX_[8303] = 0 - vX_[8313] - vX_[8303];
+ vX_[8311] = vX_[8310] + vX_[8311];
+ vX_[8303] = vX_[8306] * vX_[838] + vX_[8303] * vX_[874] +
+ (vX_[8303] * vX_[873] + vX_[8311] * vX_[842] + vX_[8308] * vX_[876]) * 2.;
+ vX_[8308] = 0 - vX_[8303];
+ vX_[8313] = 0 - vX_[8313] - vX_[8297];
+ vX_[8313] = vX_[8309] * vX_[838] + vX_[8311] * vX_[874] + vX_[8313] * vX_[843] +
+ (vX_[8313] * vX_[842] + vX_[8305] * vX_[876]) * 2.;
+ vX_[8311] = vX_[8308] * vX_[832] + vX_[8313] * vX_[836];
+ vX_[8305] = vX_[8303] * vX_[836] + vX_[8313] * vX_[832];
+ vX_[8309] = vX_[8304] * vX_[832] + vX_[8312] * vX_[836];
+ vX_[8072] = vX_[8072] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[8072] * vX_[844] + vX_[8269] * vX_[910] + vX_[8301] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[8301] = vX_[8072] * vX_[935];
+ vX_[8269] = vX_[8072] * vX_[939];
+ vX_[8297] = (vX_[8301] * vX_[925] + vX_[8269] * vX_[926]) * 2.;
+ vX_[8306] = 0 - vX_[8269];
+ vX_[8310] = vX_[8306] * vX_[936] + vX_[8301] * vX_[927];
+ vX_[8314] = 0 - vX_[8310];
+ vX_[8315] = vX_[8297] * vX_[921] + vX_[8314] * vX_[917];
+ vX_[8316] = vX_[8072] * vX_[946];
+ vX_[8317] = 0 - vX_[8316];
+ vX_[8317] = vX_[8301] * vX_[922] + vX_[8317] * vX_[936] + (vX_[8317] * vX_[925] + vX_[8306] * vX_[928]) * 2.;
+ vX_[8306] = 0 - vX_[8317];
+ vX_[8316] = 0 - vX_[8316];
+ vX_[8316] = vX_[8269] * vX_[922] + vX_[8316] * vX_[927] + (vX_[8316] * vX_[926] + vX_[8301] * vX_[928]) * 2.;
+ vX_[8269] = vX_[8306] * vX_[917] + vX_[8316] * vX_[921];
+ vX_[8301] = vX_[8317] * vX_[921] + vX_[8316] * vX_[917];
+ vX_[8318] = vX_[8297] * vX_[917] + vX_[8310] * vX_[921];
+ vX_[8319] = vX_[8145] * vX_[2014] + vX_[8122] * vX_[2017] + vX_[8134] * vX_[2020];
+ vX_[8320] = vX_[8319] * vX_[1261] * -1000.;
+ vX_[8321] = vX_[8320] * vX_[1189];
+ vX_[8322] = vX_[8145] * vX_[2026] + vX_[8122] * vX_[2019] + vX_[8134] * vX_[2015];
+ vX_[8323] = vX_[8322] * vX_[1261] * -1000.;
+ vX_[8324] = vX_[8323] * vX_[1207];
+ vX_[8325] = 0 - vX_[8321] - vX_[8324];
+ vX_[8145] = vX_[8145] * vX_[2018] + vX_[8122] * vX_[2013] + vX_[8134] * vX_[2025];
+ vX_[8134] = vX_[8145] * vX_[1261] * -1000.;
+ vX_[8122] = vX_[8134] * vX_[1189];
+ vX_[8326] = vX_[8320] * vX_[1226];
+ vX_[8327] = vX_[8122] + vX_[8326];
+ vX_[8328] = vX_[8134] * vX_[1207];
+ vX_[8329] = vX_[8323] * vX_[1226];
+ vX_[8330] = vX_[8328] + vX_[8329];
+ vX_[8331] = vX_[8320] * vX_[1207];
+ vX_[8332] = vX_[8323] * vX_[1189];
+ vX_[8333] = vX_[8331] - vX_[8332];
+ vX_[8325] = vX_[8325] * vX_[1152] +
+ (vX_[8325] * vX_[1151] + vX_[8327] * vX_[1190] + vX_[8330] * vX_[1156] + vX_[8333] * vX_[1193]) * 2.;
+ vX_[8329] = 0 - vX_[8328] + vX_[8329];
+ vX_[8326] = vX_[8122] - vX_[8326];
+ vX_[8333] = vX_[8333] * vX_[1152] + vX_[8329] * vX_[1191] + vX_[8326] * vX_[1157];
+ vX_[8122] = 0 - vX_[8333];
+ vX_[8328] = vX_[8325] * vX_[1150] + vX_[8122] * vX_[1146];
+ vX_[8334] = vX_[8134] * vX_[1226];
+ vX_[8324] = 0 - vX_[8334] - vX_[8324];
+ vX_[8332] = vX_[8331] + vX_[8332];
+ vX_[8324] = vX_[8327] * vX_[1152] + vX_[8324] * vX_[1191] +
+ (vX_[8324] * vX_[1190] + vX_[8332] * vX_[1156] + vX_[8329] * vX_[1193]) * 2.;
+ vX_[8329] = 0 - vX_[8324];
+ vX_[8334] = 0 - vX_[8334] - vX_[8321];
+ vX_[8334] = vX_[8330] * vX_[1152] + vX_[8332] * vX_[1191] + vX_[8334] * vX_[1157] +
+ (vX_[8334] * vX_[1156] + vX_[8326] * vX_[1193]) * 2.;
+ vX_[8332] = vX_[8329] * vX_[1146] + vX_[8334] * vX_[1150];
+ vX_[8326] = vX_[8324] * vX_[1150] + vX_[8334] * vX_[1146];
+ vX_[8330] = vX_[8325] * vX_[1146] + vX_[8333] * vX_[1150];
+ vX_[8145] =
+ vX_[8145] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[8145] * vX_[1158] + vX_[8319] * vX_[1227] + vX_[8322] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[8322] = vX_[8145] * vX_[1250];
+ vX_[8319] = vX_[8145] * vX_[1181];
+ vX_[8321] = (vX_[8322] * vX_[1242] + vX_[8319] * vX_[1243]) * 2.;
+ vX_[8327] = 0 - vX_[8319];
+ vX_[8331] = vX_[8327] * vX_[1251] + vX_[8322] * vX_[1244];
+ vX_[8335] = 0 - vX_[8331];
+ vX_[8336] = vX_[8321] * vX_[1238] + vX_[8335] * vX_[1234];
+ vX_[8337] = vX_[8145] * vX_[1257];
+ vX_[8338] = 0 - vX_[8337];
+ vX_[8338] = vX_[8322] * vX_[1239] + vX_[8338] * vX_[1251] + (vX_[8338] * vX_[1242] + vX_[8327] * vX_[1245]) * 2.;
+ vX_[8327] = 0 - vX_[8338];
+ vX_[8337] = 0 - vX_[8337];
+ vX_[8337] = vX_[8319] * vX_[1239] + vX_[8337] * vX_[1244] + (vX_[8337] * vX_[1243] + vX_[8322] * vX_[1245]) * 2.;
+ vX_[8319] = vX_[8327] * vX_[1234] + vX_[8337] * vX_[1238];
+ vX_[8322] = vX_[8338] * vX_[1238] + vX_[8337] * vX_[1234];
+ vX_[8339] = vX_[8321] * vX_[1234] + vX_[8331] * vX_[1238];
+ vX_[8340] = vX_[8218] * vX_[2046] + vX_[8195] * vX_[2049] + vX_[8207] * vX_[2052];
+ vX_[8341] = vX_[8340] * vX_[1573] * -1000.;
+ vX_[8342] = vX_[8341] * vX_[1499];
+ vX_[8343] = vX_[8218] * vX_[2058] + vX_[8195] * vX_[2051] + vX_[8207] * vX_[2047];
+ vX_[8344] = vX_[8343] * vX_[1573] * -1000.;
+ vX_[8345] = vX_[8344] * vX_[1518];
+ vX_[8346] = 0 - vX_[8342] - vX_[8345];
+ vX_[8218] = vX_[8218] * vX_[2050] + vX_[8195] * vX_[2045] + vX_[8207] * vX_[2057];
+ vX_[8207] = vX_[8218] * vX_[1573] * -1000.;
+ vX_[8195] = vX_[8207] * vX_[1499];
+ vX_[8347] = vX_[8341] * vX_[1536];
+ vX_[8348] = vX_[8195] + vX_[8347];
+ vX_[8349] = vX_[8207] * vX_[1518];
+ vX_[8350] = vX_[8344] * vX_[1536];
+ vX_[8351] = vX_[8349] + vX_[8350];
+ vX_[8352] = vX_[8341] * vX_[1518];
+ vX_[8353] = vX_[8344] * vX_[1499];
+ vX_[8354] = vX_[8352] - vX_[8353];
+ vX_[8346] = vX_[8346] * vX_[1463] +
+ (vX_[8346] * vX_[1462] + vX_[8348] * vX_[1500] + vX_[8351] * vX_[1467] + vX_[8354] * vX_[1503]) * 2.;
+ vX_[8350] = 0 - vX_[8349] + vX_[8350];
+ vX_[8347] = vX_[8195] - vX_[8347];
+ vX_[8354] = vX_[8354] * vX_[1463] + vX_[8350] * vX_[1501] + vX_[8347] * vX_[1468];
+ vX_[8195] = 0 - vX_[8354];
+ vX_[8349] = vX_[8346] * vX_[1461] + vX_[8195] * vX_[1457];
+ vX_[8355] = vX_[8207] * vX_[1536];
+ vX_[8345] = 0 - vX_[8355] - vX_[8345];
+ vX_[8353] = vX_[8352] + vX_[8353];
+ vX_[8345] = vX_[8348] * vX_[1463] + vX_[8345] * vX_[1501] +
+ (vX_[8345] * vX_[1500] + vX_[8353] * vX_[1467] + vX_[8350] * vX_[1503]) * 2.;
+ vX_[8350] = 0 - vX_[8345];
+ vX_[8355] = 0 - vX_[8355] - vX_[8342];
+ vX_[8355] = vX_[8351] * vX_[1463] + vX_[8353] * vX_[1501] + vX_[8355] * vX_[1468] +
+ (vX_[8355] * vX_[1467] + vX_[8347] * vX_[1503]) * 2.;
+ vX_[8353] = vX_[8350] * vX_[1457] + vX_[8355] * vX_[1461];
+ vX_[8347] = vX_[8345] * vX_[1461] + vX_[8355] * vX_[1457];
+ vX_[8351] = vX_[8346] * vX_[1457] + vX_[8354] * vX_[1461];
+ vX_[8218] =
+ vX_[8218] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[8218] * vX_[1469] + vX_[8340] * vX_[1537] + vX_[8343] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[8343] = vX_[8218] * vX_[1560];
+ vX_[8340] = vX_[8218] * vX_[1491];
+ vX_[8342] = (vX_[8343] * vX_[1552] + vX_[8340] * vX_[1553]) * 2.;
+ vX_[8348] = 0 - vX_[8340];
+ vX_[8352] = vX_[8348] * vX_[1561] + vX_[8343] * vX_[1554];
+ vX_[8356] = 0 - vX_[8352];
+ vX_[8357] = vX_[8342] * vX_[1548] + vX_[8356] * vX_[1544];
+ vX_[8358] = vX_[8218] * vX_[1569];
+ vX_[8359] = 0 - vX_[8358];
+ vX_[8359] = vX_[8343] * vX_[1549] + vX_[8359] * vX_[1561] + (vX_[8359] * vX_[1552] + vX_[8348] * vX_[1555]) * 2.;
+ vX_[8348] = 0 - vX_[8359];
+ vX_[8358] = 0 - vX_[8358];
+ vX_[8358] = vX_[8340] * vX_[1549] + vX_[8358] * vX_[1554] + (vX_[8358] * vX_[1553] + vX_[8343] * vX_[1555]) * 2.;
+ vX_[8340] = vX_[8348] * vX_[1544] + vX_[8358] * vX_[1548];
+ vX_[8343] = vX_[8359] * vX_[1548] + vX_[8358] * vX_[1544];
+ vX_[8360] = vX_[8342] * vX_[1544] + vX_[8352] * vX_[1548];
+ vX_[8361] = vX_[8291] * vX_[2078] + vX_[8268] * vX_[2081] + vX_[8280] * vX_[2084];
+ vX_[8362] = vX_[8361] * vX_[1886] * -1000.;
+ vX_[8363] = vX_[8362] * vX_[1809];
+ vX_[8364] = vX_[8291] * vX_[2090] + vX_[8268] * vX_[2083] + vX_[8280] * vX_[2079];
+ vX_[8365] = vX_[8364] * vX_[1886] * -1000.;
+ vX_[8366] = vX_[8365] * vX_[1828];
+ vX_[8367] = 0 - vX_[8363] - vX_[8366];
+ vX_[8291] = vX_[8291] * vX_[2082] + vX_[8268] * vX_[2077] + vX_[8280] * vX_[2089];
+ vX_[8280] = vX_[8291] * vX_[1886] * -1000.;
+ vX_[8268] = vX_[8280] * vX_[1809];
+ vX_[8368] = vX_[8362] * vX_[1846];
+ vX_[8369] = vX_[8268] + vX_[8368];
+ vX_[8370] = vX_[8280] * vX_[1828];
+ vX_[8371] = vX_[8365] * vX_[1846];
+ vX_[8372] = vX_[8370] + vX_[8371];
+ vX_[8373] = vX_[8362] * vX_[1828];
+ vX_[8374] = vX_[8365] * vX_[1809];
+ vX_[8375] = vX_[8373] - vX_[8374];
+ vX_[8367] = vX_[8367] * vX_[1775] +
+ (vX_[8367] * vX_[1774] + vX_[8369] * vX_[1810] + vX_[8372] * vX_[1779] + vX_[8375] * vX_[1813]) * 2.;
+ vX_[8371] = 0 - vX_[8370] + vX_[8371];
+ vX_[8368] = vX_[8268] - vX_[8368];
+ vX_[8375] = vX_[8375] * vX_[1775] + vX_[8371] * vX_[1811] + vX_[8368] * vX_[1780];
+ vX_[8268] = 0 - vX_[8375];
+ vX_[8370] = vX_[8367] * vX_[1773] + vX_[8268] * vX_[1769];
+ vX_[8376] = vX_[8280] * vX_[1846];
+ vX_[8366] = 0 - vX_[8376] - vX_[8366];
+ vX_[8374] = vX_[8373] + vX_[8374];
+ vX_[8366] = vX_[8369] * vX_[1775] + vX_[8366] * vX_[1811] +
+ (vX_[8366] * vX_[1810] + vX_[8374] * vX_[1779] + vX_[8371] * vX_[1813]) * 2.;
+ vX_[8371] = 0 - vX_[8366];
+ vX_[8376] = 0 - vX_[8376] - vX_[8363];
+ vX_[8376] = vX_[8372] * vX_[1775] + vX_[8374] * vX_[1811] + vX_[8376] * vX_[1780] +
+ (vX_[8376] * vX_[1779] + vX_[8368] * vX_[1813]) * 2.;
+ vX_[8374] = vX_[8371] * vX_[1769] + vX_[8376] * vX_[1773];
+ vX_[8368] = vX_[8366] * vX_[1773] + vX_[8376] * vX_[1769];
+ vX_[8372] = vX_[8367] * vX_[1769] + vX_[8375] * vX_[1773];
+ vX_[8291] =
+ vX_[8291] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[8291] * vX_[1781] + vX_[8361] * vX_[1847] + vX_[8364] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[213] = vX_[8072] + vX_[8145] + vX_[8218] + vX_[8291];
+ vX_[8364] = vX_[8291] * vX_[1870];
+ vX_[8361] = vX_[8291] * vX_[1875];
+ vX_[8363] = (vX_[8364] * vX_[1862] + vX_[8361] * vX_[1863]) * 2.;
+ vX_[8369] = 0 - vX_[8361];
+ vX_[8373] = vX_[8369] * vX_[1871] + vX_[8364] * vX_[1864];
+ vX_[8377] = 0 - vX_[8373];
+ vX_[8378] = vX_[8363] * vX_[1858] + vX_[8377] * vX_[1854];
+ vX_[8379] = vX_[8291] * vX_[1882];
+ vX_[8380] = 0 - vX_[8379];
+ vX_[8380] = vX_[8364] * vX_[1859] + vX_[8380] * vX_[1871] + (vX_[8380] * vX_[1862] + vX_[8369] * vX_[1865]) * 2.;
+ vX_[8369] = 0 - vX_[8380];
+ vX_[8379] = 0 - vX_[8379];
+ vX_[8379] = vX_[8361] * vX_[1859] + vX_[8379] * vX_[1864] + (vX_[8379] * vX_[1863] + vX_[8364] * vX_[1865]) * 2.;
+ vX_[8361] = vX_[8369] * vX_[1854] + vX_[8379] * vX_[1858];
+ vX_[8364] = vX_[8380] * vX_[1858] + vX_[8379] * vX_[1854];
+ vX_[8381] = vX_[8363] * vX_[1854] + vX_[8373] * vX_[1858];
+ jac[33] = ((vX_[8075] * vX_[999] + vX_[8079] * vX_[994]) * vX_[1029] -
+ (vX_[8073] * vX_[999] + vX_[8077] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[8148] * vX_[1308] + vX_[8152] * vX_[1303]) * vX_[1340] -
+ (vX_[8146] * vX_[1308] + vX_[8150] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[8221] * vX_[1620] + vX_[8225] * vX_[1615]) * vX_[1650] -
+ (vX_[8219] * vX_[1620] + vX_[8223] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[8294] * vX_[1934] + vX_[8298] * vX_[1929]) * vX_[1966] -
+ (vX_[8292] * vX_[1934] + vX_[8296] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[8307] * vX_[834] + vX_[8311] * vX_[829]) * vX_[1992] -
+ (vX_[8305] * vX_[834] + vX_[8309] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[8315] * vX_[919] + vX_[8269] * vX_[914]) * vX_[1995] -
+ (vX_[8301] * vX_[919] + vX_[8318] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[8328] * vX_[1148] + vX_[8332] * vX_[1143]) * vX_[2024] -
+ (vX_[8326] * vX_[1148] + vX_[8330] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[8336] * vX_[1236] + vX_[8319] * vX_[1231]) * vX_[2027] -
+ (vX_[8322] * vX_[1236] + vX_[8339] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[8349] * vX_[1459] + vX_[8353] * vX_[1454]) * vX_[2056] -
+ (vX_[8347] * vX_[1459] + vX_[8351] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[8357] * vX_[1546] + vX_[8340] * vX_[1541]) * vX_[2059] -
+ (vX_[8343] * vX_[1546] + vX_[8360] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[8370] * vX_[1771] + vX_[8374] * vX_[1766]) * vX_[2088] -
+ (vX_[8368] * vX_[1771] + vX_[8372] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[8378] * vX_[1856] + vX_[8361] * vX_[1851]) * vX_[2091] -
+ (vX_[8364] * vX_[1856] + vX_[8381] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[8382] = 1 / vX_[72];
+ vX_[8383] = 0 - vX_[8382];
+ vX_[8384] = vX_[8383] * vX_[79];
+ vX_[8385] = 0 - vX_[8382];
+ vX_[8386] = vX_[8385] * vX_[60];
+ vX_[8387] = vX_[8384] * vX_[76] + vX_[8386] * vX_[4];
+ vX_[8388] = vX_[8387] * 1 / vX_[123];
+ vX_[8389] = 0 - vX_[8388];
+ vX_[8390] = vX_[8389] * vX_[97];
+ vX_[8391] = 0 - vX_[8382];
+ vX_[8392] = vX_[8391] * vX_[83];
+ vX_[8393] = 0 - vX_[8382];
+ vX_[8394] = vX_[8393] * vX_[70];
+ vX_[8395] = 0 - vX_[8388];
+ vX_[8396] = vX_[8392] * vX_[751] + vX_[8394] * vX_[75] + vX_[8395] * vX_[88];
+ vX_[8397] = 0 - vX_[8388];
+ vX_[8387] = vX_[8387] + vX_[8397] * vX_[123] + vX_[8390] * vX_[706] + vX_[8396] * vX_[27];
+ vX_[8398] = 0 - vX_[8382];
+ vX_[8399] = 0 - vX_[8388];
+ vX_[8400] = vX_[8398] * vX_[72] + vX_[8392] * vX_[752] + vX_[8394] * vX_[93] + vX_[8399] * vX_[148];
+ vX_[8401] = 0 - vX_[8388];
+ vX_[8402] = vX_[8384] * vX_[4] + vX_[8386] * vX_[75] + vX_[8401] * vX_[157];
+ vX_[8403] = 0 - (vX_[8390] * vX_[138] + vX_[8396] * vX_[727] + vX_[8400] * vX_[1] + vX_[8402] * vX_[126]) +
+ vX_[8387] * vX_[637];
+ vX_[8404] = 0 - vX_[8403];
+ vX_[8405] = 0 - vX_[8388];
+ vX_[8406] = vX_[8392] * vX_[750] + vX_[8394] * vX_[754] + vX_[8405] * vX_[135];
+ vX_[8407] = 0 - vX_[8403];
+ vX_[8408] = 0 - (vX_[8406] * 0.207 + vX_[8390] * vX_[140] + vX_[8396] * vX_[728] + vX_[8400] * vX_[126] +
+ vX_[8402] * vX_[139]) +
+ vX_[8387] * vX_[624] + vX_[8407] * vX_[668];
+ vX_[8409] = 0 - vX_[8408];
+ vX_[8410] = 0 - vX_[8403];
+ vX_[8411] = 0 - vX_[8408];
+ vX_[8406] = 0 - vX_[8406] + vX_[8387] * vX_[590] + vX_[8410] * vX_[666] + vX_[8411] * vX_[664];
+ vX_[8412] = 0 - vX_[8406];
+ vX_[8413] = 0 - vX_[8403];
+ vX_[8414] = 0 - vX_[8408];
+ vX_[8415] = 0 - vX_[8406];
+ vX_[8416] = 0 - (vX_[8390] * vX_[1] + vX_[8396] * vX_[126]) + vX_[8387] * vX_[723] + vX_[8413] * vX_[725] +
+ vX_[8414] * vX_[731] + vX_[8415] * vX_[737];
+ vX_[8417] = 0 - vX_[8416];
+ vX_[8418] = (0 - (vX_[8390] * vX_[126] + vX_[8396] * vX_[729]) + vX_[8387] * vX_[620] + vX_[8404] * vX_[602] +
+ vX_[8409] * vX_[604] + vX_[8412] * vX_[722] + vX_[8417] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[8419] = 0 - vX_[8418];
+ vX_[8416] = (vX_[8416] + vX_[8419] * vX_[743]) * 1 / vX_[718];
+ vX_[8420] = 0 - vX_[8418];
+ vX_[8421] = 0 - vX_[8416];
+ vX_[8422] = 0 - vX_[8418];
+ vX_[8423] = 0 - vX_[8416];
+ vX_[8406] = (vX_[8406] + vX_[8422] * vX_[689] + vX_[8423] * vX_[736]) * 1 / vX_[721];
+ vX_[8424] = 0 - vX_[8406];
+ vX_[8408] = (vX_[8408] + vX_[8420] * vX_[682] + vX_[8421] * vX_[730] + vX_[8424] * vX_[509]) * 1 / vX_[618];
+ vX_[8425] = 0 - vX_[8418];
+ vX_[8426] = 0 - vX_[8416];
+ vX_[8427] = 0 - vX_[8406];
+ vX_[8428] = 0 - vX_[8408];
+ vX_[8403] =
+ (vX_[8403] + vX_[8425] * vX_[662] + vX_[8426] * vX_[633] + vX_[8427] * vX_[691] + vX_[8428] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[8429] = 0 - vX_[8418];
+ vX_[8430] = 0 - vX_[8416];
+ vX_[8431] = 0 - vX_[8406];
+ vX_[8432] = 0 - vX_[8408];
+ vX_[8433] = 0 - vX_[8403];
+ vX_[8434] = (0 - vX_[8387] + vX_[8429] * vX_[510] + vX_[8430] * vX_[518] + vX_[8431] * vX_[690] +
+ vX_[8432] * vX_[628] + vX_[8433] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8435] =
+ vX_[8418] * vX_[126] + vX_[8416] * vX_[1] + vX_[8408] * vX_[140] + vX_[8403] * vX_[138] + vX_[8434] * vX_[706];
+ vX_[8436] = vX_[8406] + vX_[8408] * 0.207;
+ vX_[8437] = vX_[8436] * 1 / vX_[123];
+ vX_[8438] = vX_[8435] * 1 / vX_[123];
+ vX_[8439] =
+ vX_[8418] * vX_[729] + vX_[8416] * vX_[126] + vX_[8408] * vX_[728] + vX_[8403] * vX_[727] + vX_[8434] * vX_[27];
+ vX_[8440] = vX_[8439] * 1 / vX_[123];
+ vX_[8441] = vX_[8434] * 1 / vX_[123];
+ vX_[8442] = vX_[8408] * vX_[126] + vX_[8403] * vX_[1];
+ vX_[8443] = vX_[8442] * 1 / vX_[123];
+ vX_[8444] = vX_[8408] * vX_[139] + vX_[8403] * vX_[126];
+ vX_[8445] = vX_[8444] * 1 / vX_[123];
+ vX_[8446] = vX_[8434] - (vX_[8388] + vX_[8437] * vX_[135] + vX_[8438] * vX_[97] + vX_[8440] * vX_[88] +
+ vX_[8441] * vX_[123] + vX_[8443] * vX_[148] + vX_[8445] * vX_[157]);
+ vX_[8447] = vX_[8435] + vX_[8446] * 0.08;
+ vX_[8448] = vX_[8446] * vX_[76] + vX_[8444] * vX_[4];
+ vX_[8449] = vX_[8447] + vX_[8448] * -0.35;
+ vX_[8450] = 0 - vX_[8449];
+ vX_[8451] = vX_[8436] * vX_[750] + vX_[8439] * vX_[751] + vX_[8442] * vX_[752];
+ vX_[8452] = vX_[8436] * vX_[754] + vX_[8439] * vX_[75] + vX_[8442] * vX_[93];
+ vX_[8453] = vX_[8451] * 1 / vX_[72];
+ vX_[8454] = vX_[8452] * 1 / vX_[72];
+ vX_[8455] = vX_[8442] * 1 / vX_[72];
+ vX_[8456] = vX_[8448] * 1 / vX_[72];
+ vX_[8457] = vX_[8446] * vX_[4] + vX_[8444] * vX_[75];
+ vX_[8458] = vX_[8457] * 1 / vX_[72];
+ vX_[8459] = vX_[8442] - (vX_[8382] + vX_[8453] * vX_[83] + vX_[8454] * vX_[70] + vX_[8455] * vX_[72] +
+ vX_[8456] * vX_[79] + vX_[8458] * vX_[60]);
+ vX_[8460] = vX_[8451] * vX_[7] + vX_[8452] * vX_[756] + vX_[8459] * vX_[764];
+ vX_[8461] = 0 - vX_[8460];
+ vX_[8462] = vX_[8451] * vX_[51] + vX_[8452] * vX_[7] + vX_[8459] * vX_[54];
+ vX_[8463] = 0 - vX_[8462];
+ vX_[8464] = vX_[8459] - (vX_[8460] * 38.1956380581338 * 0.1104774 + vX_[8462] * 38.1956380581338 * 0.0004405 +
+ vX_[8459] * 38.1956380581338 * 0.026181);
+ vX_[8465] = 0 - vX_[8464];
+ vX_[8466] = vX_[8448] * vX_[7] + vX_[8457] * vX_[52];
+ vX_[8467] = 0 - vX_[8466];
+ vX_[8468] = vX_[8448] * vX_[51] + vX_[8457] * vX_[7];
+ vX_[8469] = 0 - vX_[8468];
+ vX_[8470] = 0 - vX_[8464];
+ vX_[8471] = 0 - vX_[8466];
+ vX_[8472] = 0 - vX_[8468];
+ vX_[8473] = vX_[8470] * vX_[126] + vX_[8471] * vX_[803] + vX_[8472] * vX_[806];
+ vX_[8474] = 0 - vX_[8466];
+ vX_[8475] = 0 - vX_[8468];
+ vX_[8476] = vX_[8474] * vX_[812] + vX_[8475] * vX_[816];
+ vX_[8477] = 0 - vX_[8476];
+ vX_[8478] = vX_[8450] * vX_[1] + vX_[8461] * vX_[771] + vX_[8463] * vX_[776] + vX_[8465] * vX_[780] +
+ vX_[8467] * vX_[789] + vX_[8469] * vX_[797] + vX_[8473] * vX_[810] + vX_[8477] * vX_[824];
+ vX_[8479] = vX_[8478] * vX_[951];
+ vX_[8480] = 0 - vX_[8460];
+ vX_[8481] = 0 - vX_[8462];
+ vX_[8482] = 0 - vX_[8464];
+ vX_[8483] = 0 - vX_[8466];
+ vX_[8484] = 0 - vX_[8468];
+ vX_[8485] = 0 - vX_[8473];
+ vX_[8486] = 0 - vX_[8464];
+ vX_[8487] = 0 - vX_[8466];
+ vX_[8488] = 0 - vX_[8468];
+ vX_[8489] = vX_[8486] * vX_[1] + vX_[8487] * vX_[770] + vX_[8488] * vX_[775];
+ vX_[8490] = vX_[8480] * vX_[812] + vX_[8481] * vX_[815] + vX_[8482] * vX_[957] + vX_[8483] * vX_[963] +
+ vX_[8484] * vX_[968] + vX_[8485] * vX_[975] + vX_[8489] * vX_[824];
+ vX_[8491] = vX_[8490] * vX_[988];
+ vX_[8492] = 0 - vX_[8479] - vX_[8491];
+ vX_[8493] = vX_[8478] * vX_[984];
+ vX_[8494] = 0 - vX_[8449];
+ vX_[8495] = 0 - vX_[8460];
+ vX_[8496] = 0 - vX_[8462];
+ vX_[8497] = 0 - vX_[8464];
+ vX_[8498] = 0 - vX_[8466];
+ vX_[8499] = 0 - vX_[8468];
+ vX_[8500] = 0 - vX_[8489];
+ vX_[8501] = vX_[8494] * vX_[126] + vX_[8495] * vX_[801] + vX_[8496] * vX_[805] + vX_[8497] * vX_[1010] +
+ vX_[8498] * vX_[1018] + vX_[8499] * vX_[1026] + vX_[8500] * vX_[810] + vX_[8476] * vX_[975];
+ vX_[8502] = vX_[8501] * vX_[951];
+ vX_[8503] = vX_[8493] + vX_[8502];
+ vX_[8504] = vX_[8490] * vX_[984];
+ vX_[8505] = vX_[8501] * vX_[988];
+ vX_[8506] = vX_[8504] + vX_[8505];
+ vX_[8507] = vX_[8490] * vX_[951];
+ vX_[8508] = vX_[8478] * vX_[988];
+ vX_[8509] = vX_[8507] - vX_[8508];
+ vX_[8492] = vX_[8492] * vX_[1003] +
+ (vX_[8492] * vX_[1002] + vX_[8503] * vX_[1033] + vX_[8506] * vX_[1037] + vX_[8509] * vX_[1041]) * 2.;
+ vX_[8505] = 0 - vX_[8504] + vX_[8505];
+ vX_[8502] = vX_[8493] - vX_[8502];
+ vX_[8509] = vX_[8509] * vX_[1003] + vX_[8505] * vX_[1034] + vX_[8502] * vX_[892];
+ vX_[8493] = 0 - vX_[8509];
+ vX_[8504] = vX_[8492] * vX_[1001] + vX_[8493] * vX_[997];
+ vX_[8510] = vX_[8501] * vX_[984];
+ vX_[8491] = 0 - vX_[8510] - vX_[8491];
+ vX_[8508] = vX_[8507] + vX_[8508];
+ vX_[8491] = vX_[8503] * vX_[1003] + vX_[8491] * vX_[1034] +
+ (vX_[8491] * vX_[1033] + vX_[8508] * vX_[1037] + vX_[8505] * vX_[1041]) * 2.;
+ vX_[8505] = 0 - vX_[8491];
+ vX_[8510] = 0 - vX_[8510] - vX_[8479];
+ vX_[8510] = vX_[8506] * vX_[1003] + vX_[8508] * vX_[1034] + vX_[8510] * vX_[892] +
+ (vX_[8510] * vX_[1037] + vX_[8502] * vX_[1041]) * 2.;
+ vX_[8508] = vX_[8505] * vX_[997] + vX_[8510] * vX_[1001];
+ vX_[8502] = vX_[8491] * vX_[1001] + vX_[8510] * vX_[997];
+ vX_[8506] = vX_[8492] * vX_[997] + vX_[8509] * vX_[1001];
+ vX_[8479] = vX_[8418] * vX_[235] + vX_[8416] * vX_[1030] + vX_[8408] * vX_[250] + vX_[8403] * vX_[248] +
+ vX_[8434] * vX_[1038];
+ vX_[8503] = vX_[8434] * -1;
+ vX_[8507] = vX_[8406] * -1 + vX_[8408] * 0.207;
+ vX_[8511] = vX_[8507] * 1 / vX_[232];
+ vX_[8512] = vX_[8479] * 1 / vX_[232];
+ vX_[8513] = vX_[8418] * vX_[1050] + vX_[8416] * vX_[1051] + vX_[8408] * vX_[1052] + vX_[8403] * vX_[1053] +
+ vX_[8434] * vX_[164];
+ vX_[8514] = vX_[8513] * 1 / vX_[232];
+ vX_[8515] = vX_[8503] * 1 / vX_[232];
+ vX_[8516] = vX_[8408] * vX_[235] + vX_[8403] * vX_[249];
+ vX_[8517] = vX_[8516] * 1 / vX_[232];
+ vX_[8518] = vX_[8408] * vX_[249] + vX_[8403] * vX_[247];
+ vX_[8519] = vX_[8518] * 1 / vX_[232];
+ vX_[8503] = vX_[8503] - (vX_[8511] * vX_[244] + vX_[8512] * vX_[206] + vX_[8514] * vX_[196] + vX_[8515] * vX_[232] +
+ vX_[8517] * vX_[258] + vX_[8519] * vX_[267]);
+ vX_[8520] = vX_[8479] * -1 + vX_[8503] * -0.08;
+ vX_[8521] = vX_[8503] * vX_[186] + vX_[8518] * vX_[195];
+ vX_[8522] = vX_[8520] + vX_[8521] * -0.35;
+ vX_[8523] = 0 - vX_[8522];
+ vX_[8524] = vX_[8507] * vX_[186] + vX_[8513] * vX_[1065] + vX_[8516] * vX_[1066];
+ vX_[8525] = vX_[8507] * vX_[166] + vX_[8513] * vX_[186] + vX_[8516] * vX_[201];
+ vX_[8526] = vX_[8516] * -1;
+ vX_[8527] = vX_[8524] * 1 / vX_[183];
+ vX_[8528] = vX_[8525] * 1 / vX_[183];
+ vX_[8529] = vX_[8526] * 1 / vX_[183];
+ vX_[8530] = vX_[8521] * 1 / vX_[183];
+ vX_[8531] = vX_[8503] * vX_[166] + vX_[8518] * vX_[186];
+ vX_[8532] = vX_[8531] * 1 / vX_[183];
+ vX_[8526] = vX_[8526] - (vX_[8527] * vX_[190] + vX_[8528] * vX_[181] + vX_[8529] * vX_[183] + vX_[8530] * 2.1e-05 +
+ vX_[8532] * -0.000102);
+ vX_[8533] = vX_[8524] * vX_[169] + vX_[8525] * vX_[1069] + vX_[8526] * vX_[1077];
+ vX_[8534] = 0 - vX_[8533];
+ vX_[8535] = vX_[8524] * vX_[167] + vX_[8525] * vX_[169] + vX_[8526] * vX_[168];
+ vX_[8536] = 0 - vX_[8535];
+ vX_[8537] = vX_[8526] - (vX_[8533] * 38.1956380581338 * 0.110125 + vX_[8535] * 38.1956380581338 * 0.000881 +
+ vX_[8526] * 38.1956380581338 * 0.026181);
+ vX_[8538] = 0 - vX_[8537];
+ vX_[8539] = vX_[8521] * vX_[169] + vX_[8531] * vX_[175];
+ vX_[8540] = 0 - vX_[8539];
+ vX_[8541] = vX_[8521] * vX_[167] + vX_[8531] * vX_[169];
+ vX_[8542] = 0 - vX_[8541];
+ vX_[8543] = 0 - vX_[8537];
+ vX_[8544] = 0 - vX_[8539];
+ vX_[8545] = 0 - vX_[8541];
+ vX_[8546] = vX_[8543] * vX_[1111] + vX_[8544] * vX_[1116] + vX_[8545] * vX_[1120];
+ vX_[8547] = 0 - vX_[8539];
+ vX_[8548] = 0 - vX_[8541];
+ vX_[8549] = vX_[8547] * vX_[1126] + vX_[8548] * vX_[1130];
+ vX_[8550] = 0 - vX_[8549];
+ vX_[8551] = vX_[8523] * vX_[163] + vX_[8534] * vX_[1083] + vX_[8536] * vX_[1088] + vX_[8538] * vX_[1092] +
+ vX_[8540] * vX_[1101] + vX_[8542] * vX_[1109] + vX_[8546] * vX_[1124] + vX_[8550] * vX_[1138];
+ vX_[8552] = vX_[8551] * vX_[1262];
+ vX_[8553] = 0 - vX_[8533];
+ vX_[8554] = 0 - vX_[8535];
+ vX_[8555] = 0 - vX_[8537];
+ vX_[8556] = 0 - vX_[8539];
+ vX_[8557] = 0 - vX_[8541];
+ vX_[8558] = 0 - vX_[8546];
+ vX_[8559] = 0 - vX_[8537];
+ vX_[8560] = 0 - vX_[8539];
+ vX_[8561] = 0 - vX_[8541];
+ vX_[8562] = vX_[8559] * vX_[163] + vX_[8560] * vX_[1082] + vX_[8561] * vX_[1086];
+ vX_[8563] = vX_[8553] * vX_[1126] + vX_[8554] * vX_[1129] + vX_[8555] * vX_[1268] + vX_[8556] * vX_[1274] +
+ vX_[8557] * vX_[1279] + vX_[8558] * vX_[1219] + vX_[8562] * vX_[1138];
+ vX_[8564] = vX_[8563] * vX_[1297];
+ vX_[8565] = 0 - vX_[8552] - vX_[8564];
+ vX_[8566] = vX_[8551] * vX_[1293];
+ vX_[8567] = 0 - vX_[8522];
+ vX_[8568] = 0 - vX_[8533];
+ vX_[8569] = 0 - vX_[8535];
+ vX_[8570] = 0 - vX_[8537];
+ vX_[8571] = 0 - vX_[8539];
+ vX_[8572] = 0 - vX_[8541];
+ vX_[8573] = 0 - vX_[8562];
+ vX_[8574] = vX_[8567] * vX_[1314] + vX_[8568] * vX_[1114] + vX_[8569] * vX_[1119] + vX_[8570] * vX_[1321] +
+ vX_[8571] * vX_[1329] + vX_[8572] * vX_[1337] + vX_[8573] * vX_[1124] + vX_[8549] * vX_[1219];
+ vX_[8575] = vX_[8574] * vX_[1262];
+ vX_[8576] = vX_[8566] + vX_[8575];
+ vX_[8577] = vX_[8563] * vX_[1293];
+ vX_[8578] = vX_[8574] * vX_[1297];
+ vX_[8579] = vX_[8577] + vX_[8578];
+ vX_[8580] = vX_[8563] * vX_[1262];
+ vX_[8581] = vX_[8551] * vX_[1297];
+ vX_[8582] = vX_[8580] - vX_[8581];
+ vX_[8565] = vX_[8565] * vX_[1312] +
+ (vX_[8565] * vX_[1311] + vX_[8576] * vX_[1344] + vX_[8579] * vX_[1348] + vX_[8582] * vX_[1352]) * 2.;
+ vX_[8578] = 0 - vX_[8577] + vX_[8578];
+ vX_[8575] = vX_[8566] - vX_[8575];
+ vX_[8582] = vX_[8582] * vX_[1312] + vX_[8578] * vX_[1345] + vX_[8575] * vX_[1208];
+ vX_[8566] = 0 - vX_[8582];
+ vX_[8577] = vX_[8565] * vX_[1310] + vX_[8566] * vX_[1306];
+ vX_[8583] = vX_[8574] * vX_[1293];
+ vX_[8564] = 0 - vX_[8583] - vX_[8564];
+ vX_[8581] = vX_[8580] + vX_[8581];
+ vX_[8564] = vX_[8576] * vX_[1312] + vX_[8564] * vX_[1345] +
+ (vX_[8564] * vX_[1344] + vX_[8581] * vX_[1348] + vX_[8578] * vX_[1352]) * 2.;
+ vX_[8578] = 0 - vX_[8564];
+ vX_[8583] = 0 - vX_[8583] - vX_[8552];
+ vX_[8583] = vX_[8579] * vX_[1312] + vX_[8581] * vX_[1345] + vX_[8583] * vX_[1208] +
+ (vX_[8583] * vX_[1348] + vX_[8575] * vX_[1352]) * 2.;
+ vX_[8581] = vX_[8578] * vX_[1306] + vX_[8583] * vX_[1310];
+ vX_[8575] = vX_[8564] * vX_[1310] + vX_[8583] * vX_[1306];
+ vX_[8579] = vX_[8565] * vX_[1306] + vX_[8582] * vX_[1310];
+ vX_[8552] = vX_[8418] * vX_[354] + vX_[8416] * vX_[273] + vX_[8408] * vX_[368] + vX_[8403] * vX_[366] +
+ vX_[8434] * vX_[1341];
+ vX_[8576] = vX_[8406] + vX_[8408] * 0.207;
+ vX_[8580] = vX_[8576] * 1 / vX_[351];
+ vX_[8584] = vX_[8552] * 1 / vX_[351];
+ vX_[8585] = vX_[8418] * vX_[1359] + vX_[8416] * vX_[354] + vX_[8408] * vX_[1360] + vX_[8403] * vX_[1361] +
+ vX_[8434] * vX_[274];
+ vX_[8586] = vX_[8585] * 1 / vX_[351];
+ vX_[8587] = vX_[8434] * 1 / vX_[351];
+ vX_[8588] = vX_[8408] * vX_[354] + vX_[8403] * vX_[273];
+ vX_[8589] = vX_[8588] * 1 / vX_[351];
+ vX_[8590] = vX_[8408] * vX_[367] + vX_[8403] * vX_[354];
+ vX_[8591] = vX_[8590] * 1 / vX_[351];
+ vX_[8592] = vX_[8434] - (vX_[8580] * vX_[363] + vX_[8584] * vX_[325] + vX_[8586] * vX_[316] + vX_[8587] * vX_[351] +
+ vX_[8589] * vX_[376] + vX_[8591] * vX_[385]);
+ vX_[8593] = vX_[8552] + vX_[8592] * 0.08;
+ vX_[8594] = vX_[8592] * vX_[304] + vX_[8590] * vX_[276];
+ vX_[8595] = vX_[8593] + vX_[8594] * -0.35;
+ vX_[8596] = 0 - vX_[8595];
+ vX_[8597] = vX_[8576] * vX_[1374] + vX_[8585] * vX_[1375] + vX_[8588] * vX_[1376];
+ vX_[8598] = vX_[8576] * vX_[1378] + vX_[8585] * vX_[303] + vX_[8588] * vX_[321];
+ vX_[8599] = vX_[8597] * 1 / vX_[300];
+ vX_[8600] = vX_[8598] * 1 / vX_[300];
+ vX_[8601] = vX_[8588] * 1 / vX_[300];
+ vX_[8602] = vX_[8594] * 1 / vX_[300];
+ vX_[8603] = vX_[8592] * vX_[276] + vX_[8590] * vX_[303];
+ vX_[8604] = vX_[8603] * 1 / vX_[300];
+ vX_[8605] = vX_[8588] - (vX_[8599] * vX_[311] + vX_[8600] * vX_[298] + vX_[8601] * vX_[300] + vX_[8602] * vX_[307] +
+ vX_[8604] * vX_[288]);
+ vX_[8606] = vX_[8597] * vX_[277] + vX_[8598] * vX_[1380] + vX_[8605] * vX_[1388];
+ vX_[8607] = 0 - vX_[8606];
+ vX_[8608] = vX_[8597] * vX_[279] + vX_[8598] * vX_[277] + vX_[8605] * vX_[282];
+ vX_[8609] = 0 - vX_[8608];
+ vX_[8610] = vX_[8605] - (vX_[8606] * 38.1956380581338 * 0.1104774 + vX_[8608] * 38.1956380581338 * -0.0004405 +
+ vX_[8605] * 38.1956380581338 * 0.026181);
+ vX_[8611] = 0 - vX_[8610];
+ vX_[8612] = vX_[8594] * vX_[277] + vX_[8603] * vX_[280];
+ vX_[8613] = 0 - vX_[8612];
+ vX_[8614] = vX_[8594] * vX_[279] + vX_[8603] * vX_[277];
+ vX_[8615] = 0 - vX_[8614];
+ vX_[8616] = 0 - vX_[8610];
+ vX_[8617] = 0 - vX_[8612];
+ vX_[8618] = 0 - vX_[8614];
+ vX_[8619] = vX_[8616] * vX_[354] + vX_[8617] * vX_[1428] + vX_[8618] * vX_[1431];
+ vX_[8620] = 0 - vX_[8612];
+ vX_[8621] = 0 - vX_[8614];
+ vX_[8622] = vX_[8620] * vX_[1437] + vX_[8621] * vX_[1441];
+ vX_[8623] = 0 - vX_[8622];
+ vX_[8624] = vX_[8596] * vX_[273] + vX_[8607] * vX_[1395] + vX_[8609] * vX_[1400] + vX_[8611] * vX_[1404] +
+ vX_[8613] * vX_[1413] + vX_[8615] * vX_[1422] + vX_[8619] * vX_[1435] + vX_[8623] * vX_[1449];
+ vX_[8625] = vX_[8624] * vX_[1574];
+ vX_[8626] = 0 - vX_[8606];
+ vX_[8627] = 0 - vX_[8608];
+ vX_[8628] = 0 - vX_[8610];
+ vX_[8629] = 0 - vX_[8612];
+ vX_[8630] = 0 - vX_[8614];
+ vX_[8631] = 0 - vX_[8619];
+ vX_[8632] = 0 - vX_[8610];
+ vX_[8633] = 0 - vX_[8612];
+ vX_[8634] = 0 - vX_[8614];
+ vX_[8635] = vX_[8632] * vX_[273] + vX_[8633] * vX_[1394] + vX_[8634] * vX_[1399];
+ vX_[8636] = vX_[8626] * vX_[1437] + vX_[8627] * vX_[1440] + vX_[8628] * vX_[1580] + vX_[8629] * vX_[1586] +
+ vX_[8630] * vX_[1591] + vX_[8631] * vX_[1596] + vX_[8635] * vX_[1449];
+ vX_[8637] = vX_[8636] * vX_[1609];
+ vX_[8638] = 0 - vX_[8625] - vX_[8637];
+ vX_[8639] = vX_[8624] * vX_[1605];
+ vX_[8640] = 0 - vX_[8595];
+ vX_[8641] = 0 - vX_[8606];
+ vX_[8642] = 0 - vX_[8608];
+ vX_[8643] = 0 - vX_[8610];
+ vX_[8644] = 0 - vX_[8612];
+ vX_[8645] = 0 - vX_[8614];
+ vX_[8646] = 0 - vX_[8635];
+ vX_[8647] = vX_[8640] * vX_[354] + vX_[8641] * vX_[1426] + vX_[8642] * vX_[1430] + vX_[8643] * vX_[1631] +
+ vX_[8644] * vX_[1639] + vX_[8645] * vX_[1647] + vX_[8646] * vX_[1435] + vX_[8622] * vX_[1596];
+ vX_[8648] = vX_[8647] * vX_[1574];
+ vX_[8649] = vX_[8639] + vX_[8648];
+ vX_[8650] = vX_[8636] * vX_[1605];
+ vX_[8651] = vX_[8647] * vX_[1609];
+ vX_[8652] = vX_[8650] + vX_[8651];
+ vX_[8653] = vX_[8636] * vX_[1574];
+ vX_[8654] = vX_[8624] * vX_[1609];
+ vX_[8655] = vX_[8653] - vX_[8654];
+ vX_[8638] = vX_[8638] * vX_[1624] +
+ (vX_[8638] * vX_[1623] + vX_[8649] * vX_[1654] + vX_[8652] * vX_[1658] + vX_[8655] * vX_[1662]) * 2.;
+ vX_[8651] = 0 - vX_[8650] + vX_[8651];
+ vX_[8648] = vX_[8639] - vX_[8648];
+ vX_[8655] = vX_[8655] * vX_[1624] + vX_[8651] * vX_[1655] + vX_[8648] * vX_[1519];
+ vX_[8639] = 0 - vX_[8655];
+ vX_[8650] = vX_[8638] * vX_[1622] + vX_[8639] * vX_[1618];
+ vX_[8656] = vX_[8647] * vX_[1605];
+ vX_[8637] = 0 - vX_[8656] - vX_[8637];
+ vX_[8654] = vX_[8653] + vX_[8654];
+ vX_[8637] = vX_[8649] * vX_[1624] + vX_[8637] * vX_[1655] +
+ (vX_[8637] * vX_[1654] + vX_[8654] * vX_[1658] + vX_[8651] * vX_[1662]) * 2.;
+ vX_[8651] = 0 - vX_[8637];
+ vX_[8656] = 0 - vX_[8656] - vX_[8625];
+ vX_[8656] = vX_[8652] * vX_[1624] + vX_[8654] * vX_[1655] + vX_[8656] * vX_[1519] +
+ (vX_[8656] * vX_[1658] + vX_[8648] * vX_[1662]) * 2.;
+ vX_[8654] = vX_[8651] * vX_[1618] + vX_[8656] * vX_[1622];
+ vX_[8648] = vX_[8637] * vX_[1622] + vX_[8656] * vX_[1618];
+ vX_[8652] = vX_[8638] * vX_[1618] + vX_[8655] * vX_[1622];
+ vX_[8625] = vX_[8418] * vX_[473] + vX_[8416] * vX_[1651] + vX_[8408] * vX_[488] + vX_[8403] * vX_[486] +
+ vX_[8434] * vX_[1659];
+ vX_[8649] = vX_[8434] * -1;
+ vX_[8653] = vX_[8406] * -1 + vX_[8408] * 0.207;
+ vX_[8657] = vX_[8653] * 1 / vX_[470];
+ vX_[8658] = vX_[8625] * 1 / vX_[470];
+ vX_[8659] = vX_[8418] * vX_[1671] + vX_[8416] * vX_[1672] + vX_[8408] * vX_[1673] + vX_[8403] * vX_[1674] +
+ vX_[8434] * vX_[392];
+ vX_[8660] = vX_[8659] * 1 / vX_[470];
+ vX_[8661] = vX_[8649] * 1 / vX_[470];
+ vX_[8662] = vX_[8408] * vX_[473] + vX_[8403] * vX_[487];
+ vX_[8663] = vX_[8662] * 1 / vX_[470];
+ vX_[8664] = vX_[8408] * vX_[487] + vX_[8403] * vX_[485];
+ vX_[8665] = vX_[8664] * 1 / vX_[470];
+ vX_[8649] = vX_[8649] - (vX_[8657] * vX_[482] + vX_[8658] * vX_[444] + vX_[8660] * vX_[434] + vX_[8661] * vX_[470] +
+ vX_[8663] * vX_[496] + vX_[8665] * vX_[505]);
+ vX_[8666] = vX_[8625] * -1 + vX_[8649] * -0.08;
+ vX_[8667] = vX_[8649] * vX_[421] + vX_[8664] * vX_[433];
+ vX_[8668] = vX_[8666] + vX_[8667] * -0.35;
+ vX_[8669] = 0 - vX_[8668];
+ vX_[8670] = vX_[8653] * vX_[421] + vX_[8659] * vX_[1686] + vX_[8662] * vX_[1687];
+ vX_[8671] = vX_[8653] * vX_[394] + vX_[8659] * vX_[421] + vX_[8662] * vX_[439];
+ vX_[8672] = vX_[8662] * -1;
+ vX_[8673] = vX_[8670] * 1 / vX_[418];
+ vX_[8674] = vX_[8671] * 1 / vX_[418];
+ vX_[8675] = vX_[8672] * 1 / vX_[418];
+ vX_[8676] = vX_[8667] * 1 / vX_[418];
+ vX_[8677] = vX_[8649] * vX_[394] + vX_[8664] * vX_[421];
+ vX_[8678] = vX_[8677] * 1 / vX_[418];
+ vX_[8672] = vX_[8672] - (vX_[8673] * vX_[428] + vX_[8674] * vX_[416] + vX_[8675] * vX_[418] + vX_[8676] * vX_[424] +
+ vX_[8678] * vX_[406]);
+ vX_[8679] = vX_[8670] * vX_[395] + vX_[8671] * vX_[1690] + vX_[8672] * vX_[1698];
+ vX_[8680] = 0 - vX_[8679];
+ vX_[8681] = vX_[8670] * vX_[397] + vX_[8671] * vX_[395] + vX_[8672] * vX_[400];
+ vX_[8682] = 0 - vX_[8681];
+ vX_[8683] = vX_[8672] - (vX_[8679] * 38.1956380581338 * 0.1104774 + vX_[8681] * 38.1956380581338 * -0.0004405 +
+ vX_[8672] * 38.1956380581338 * 0.026181);
+ vX_[8684] = 0 - vX_[8683];
+ vX_[8685] = vX_[8667] * vX_[395] + vX_[8677] * vX_[398];
+ vX_[8686] = 0 - vX_[8685];
+ vX_[8687] = vX_[8667] * vX_[397] + vX_[8677] * vX_[395];
+ vX_[8688] = 0 - vX_[8687];
+ vX_[8689] = 0 - vX_[8683];
+ vX_[8690] = 0 - vX_[8685];
+ vX_[8691] = 0 - vX_[8687];
+ vX_[8692] = vX_[8689] * vX_[1734] + vX_[8690] * vX_[1739] + vX_[8691] * vX_[1743];
+ vX_[8693] = 0 - vX_[8685];
+ vX_[8694] = 0 - vX_[8687];
+ vX_[8695] = vX_[8693] * vX_[1749] + vX_[8694] * vX_[1753];
+ vX_[8696] = 0 - vX_[8695];
+ vX_[8697] = vX_[8669] * vX_[391] + vX_[8680] * vX_[1705] + vX_[8682] * vX_[1710] + vX_[8684] * vX_[1714] +
+ vX_[8686] * vX_[1723] + vX_[8688] * vX_[1732] + vX_[8692] * vX_[1747] + vX_[8696] * vX_[1761];
+ vX_[8698] = vX_[8697] * vX_[1887];
+ vX_[8699] = 0 - vX_[8679];
+ vX_[8700] = 0 - vX_[8681];
+ vX_[8701] = 0 - vX_[8683];
+ vX_[8702] = 0 - vX_[8685];
+ vX_[8703] = 0 - vX_[8687];
+ vX_[8704] = 0 - vX_[8692];
+ vX_[8705] = 0 - vX_[8683];
+ vX_[8706] = 0 - vX_[8685];
+ vX_[8707] = 0 - vX_[8687];
+ vX_[8708] = vX_[8705] * vX_[391] + vX_[8706] * vX_[1704] + vX_[8707] * vX_[1708];
+ vX_[8709] = vX_[8699] * vX_[1749] + vX_[8700] * vX_[1752] + vX_[8701] * vX_[1893] + vX_[8702] * vX_[1899] +
+ vX_[8703] * vX_[1904] + vX_[8704] * vX_[1911] + vX_[8708] * vX_[1761];
+ vX_[8710] = vX_[8709] * vX_[1923];
+ vX_[8711] = 0 - vX_[8698] - vX_[8710];
+ vX_[8712] = vX_[8697] * vX_[1919];
+ vX_[8713] = 0 - vX_[8668];
+ vX_[8714] = 0 - vX_[8679];
+ vX_[8715] = 0 - vX_[8681];
+ vX_[8716] = 0 - vX_[8683];
+ vX_[8717] = 0 - vX_[8685];
+ vX_[8718] = 0 - vX_[8687];
+ vX_[8719] = 0 - vX_[8708];
+ vX_[8720] = vX_[8713] * vX_[1940] + vX_[8714] * vX_[1737] + vX_[8715] * vX_[1742] + vX_[8716] * vX_[1947] +
+ vX_[8717] * vX_[1955] + vX_[8718] * vX_[1963] + vX_[8719] * vX_[1747] + vX_[8695] * vX_[1911];
+ vX_[8721] = vX_[8720] * vX_[1887];
+ vX_[8722] = vX_[8712] + vX_[8721];
+ vX_[8723] = vX_[8709] * vX_[1919];
+ vX_[8724] = vX_[8720] * vX_[1923];
+ vX_[8725] = vX_[8723] + vX_[8724];
+ vX_[8726] = vX_[8709] * vX_[1887];
+ vX_[8727] = vX_[8697] * vX_[1923];
+ vX_[8728] = vX_[8726] - vX_[8727];
+ vX_[8711] = vX_[8711] * vX_[1938] +
+ (vX_[8711] * vX_[1937] + vX_[8722] * vX_[1970] + vX_[8725] * vX_[1974] + vX_[8728] * vX_[1978]) * 2.;
+ vX_[8724] = 0 - vX_[8723] + vX_[8724];
+ vX_[8721] = vX_[8712] - vX_[8721];
+ vX_[8728] = vX_[8728] * vX_[1938] + vX_[8724] * vX_[1971] + vX_[8721] * vX_[1829];
+ vX_[8712] = 0 - vX_[8728];
+ vX_[8723] = vX_[8711] * vX_[1936] + vX_[8712] * vX_[1932];
+ vX_[8729] = vX_[8720] * vX_[1919];
+ vX_[8710] = 0 - vX_[8729] - vX_[8710];
+ vX_[8727] = vX_[8726] + vX_[8727];
+ vX_[8710] = vX_[8722] * vX_[1938] + vX_[8710] * vX_[1971] +
+ (vX_[8710] * vX_[1970] + vX_[8727] * vX_[1974] + vX_[8724] * vX_[1978]) * 2.;
+ vX_[8724] = 0 - vX_[8710];
+ vX_[8729] = 0 - vX_[8729] - vX_[8698];
+ vX_[8729] = vX_[8725] * vX_[1938] + vX_[8727] * vX_[1971] + vX_[8729] * vX_[1829] +
+ (vX_[8729] * vX_[1974] + vX_[8721] * vX_[1978]) * 2.;
+ vX_[8727] = vX_[8724] * vX_[1932] + vX_[8729] * vX_[1936];
+ vX_[8721] = vX_[8710] * vX_[1936] + vX_[8729] * vX_[1932];
+ vX_[8725] = vX_[8711] * vX_[1932] + vX_[8728] * vX_[1936];
+ vX_[8698] = vX_[8501] * vX_[1982] + vX_[8478] * vX_[1985] + vX_[8490] * vX_[1988];
+ vX_[8722] = vX_[8698] * vX_[950] * -1000.;
+ vX_[8726] = vX_[8722] * vX_[872];
+ vX_[8730] = vX_[8501] * vX_[1994] + vX_[8478] * vX_[1987] + vX_[8490] * vX_[1983];
+ vX_[8731] = vX_[8730] * vX_[950] * -1000.;
+ vX_[8732] = vX_[8731] * vX_[891];
+ vX_[8733] = 0 - vX_[8726] - vX_[8732];
+ vX_[8501] = vX_[8501] * vX_[1986] + vX_[8478] * vX_[1975] + vX_[8490] * vX_[1993];
+ vX_[8490] = vX_[8501] * vX_[950] * -1000.;
+ vX_[8478] = vX_[8490] * vX_[872];
+ vX_[8734] = vX_[8722] * vX_[909];
+ vX_[8735] = vX_[8478] + vX_[8734];
+ vX_[8736] = vX_[8490] * vX_[891];
+ vX_[8737] = vX_[8731] * vX_[909];
+ vX_[8738] = vX_[8736] + vX_[8737];
+ vX_[8739] = vX_[8722] * vX_[891];
+ vX_[8740] = vX_[8731] * vX_[872];
+ vX_[8741] = vX_[8739] - vX_[8740];
+ vX_[8733] = vX_[8733] * vX_[838] +
+ (vX_[8733] * vX_[837] + vX_[8735] * vX_[873] + vX_[8738] * vX_[842] + vX_[8741] * vX_[876]) * 2.;
+ vX_[8737] = 0 - vX_[8736] + vX_[8737];
+ vX_[8734] = vX_[8478] - vX_[8734];
+ vX_[8741] = vX_[8741] * vX_[838] + vX_[8737] * vX_[874] + vX_[8734] * vX_[843];
+ vX_[8478] = 0 - vX_[8741];
+ vX_[8736] = vX_[8733] * vX_[836] + vX_[8478] * vX_[832];
+ vX_[8742] = vX_[8490] * vX_[909];
+ vX_[8732] = 0 - vX_[8742] - vX_[8732];
+ vX_[8740] = vX_[8739] + vX_[8740];
+ vX_[8732] = vX_[8735] * vX_[838] + vX_[8732] * vX_[874] +
+ (vX_[8732] * vX_[873] + vX_[8740] * vX_[842] + vX_[8737] * vX_[876]) * 2.;
+ vX_[8737] = 0 - vX_[8732];
+ vX_[8742] = 0 - vX_[8742] - vX_[8726];
+ vX_[8742] = vX_[8738] * vX_[838] + vX_[8740] * vX_[874] + vX_[8742] * vX_[843] +
+ (vX_[8742] * vX_[842] + vX_[8734] * vX_[876]) * 2.;
+ vX_[8740] = vX_[8737] * vX_[832] + vX_[8742] * vX_[836];
+ vX_[8734] = vX_[8732] * vX_[836] + vX_[8742] * vX_[832];
+ vX_[8738] = vX_[8733] * vX_[832] + vX_[8741] * vX_[836];
+ vX_[8501] = vX_[8501] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[8501] * vX_[844] + vX_[8698] * vX_[910] + vX_[8730] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[8730] = vX_[8501] * vX_[935];
+ vX_[8698] = vX_[8501] * vX_[939];
+ vX_[8726] = (vX_[8730] * vX_[925] + vX_[8698] * vX_[926]) * 2.;
+ vX_[8735] = 0 - vX_[8698];
+ vX_[8739] = vX_[8735] * vX_[936] + vX_[8730] * vX_[927];
+ vX_[8743] = 0 - vX_[8739];
+ vX_[8744] = vX_[8726] * vX_[921] + vX_[8743] * vX_[917];
+ vX_[8745] = vX_[8501] * vX_[946];
+ vX_[8746] = 0 - vX_[8745];
+ vX_[8746] = vX_[8730] * vX_[922] + vX_[8746] * vX_[936] + (vX_[8746] * vX_[925] + vX_[8735] * vX_[928]) * 2.;
+ vX_[8735] = 0 - vX_[8746];
+ vX_[8745] = 0 - vX_[8745];
+ vX_[8745] = vX_[8698] * vX_[922] + vX_[8745] * vX_[927] + (vX_[8745] * vX_[926] + vX_[8730] * vX_[928]) * 2.;
+ vX_[8698] = vX_[8735] * vX_[917] + vX_[8745] * vX_[921];
+ vX_[8730] = vX_[8746] * vX_[921] + vX_[8745] * vX_[917];
+ vX_[8747] = vX_[8726] * vX_[917] + vX_[8739] * vX_[921];
+ vX_[8748] = vX_[8574] * vX_[2014] + vX_[8551] * vX_[2017] + vX_[8563] * vX_[2020];
+ vX_[8749] = vX_[8748] * vX_[1261] * -1000.;
+ vX_[8750] = vX_[8749] * vX_[1189];
+ vX_[8751] = vX_[8574] * vX_[2026] + vX_[8551] * vX_[2019] + vX_[8563] * vX_[2015];
+ vX_[8752] = vX_[8751] * vX_[1261] * -1000.;
+ vX_[8753] = vX_[8752] * vX_[1207];
+ vX_[8754] = 0 - vX_[8750] - vX_[8753];
+ vX_[8574] = vX_[8574] * vX_[2018] + vX_[8551] * vX_[2013] + vX_[8563] * vX_[2025];
+ vX_[8563] = vX_[8574] * vX_[1261] * -1000.;
+ vX_[8551] = vX_[8563] * vX_[1189];
+ vX_[8755] = vX_[8749] * vX_[1226];
+ vX_[8756] = vX_[8551] + vX_[8755];
+ vX_[8757] = vX_[8563] * vX_[1207];
+ vX_[8758] = vX_[8752] * vX_[1226];
+ vX_[8759] = vX_[8757] + vX_[8758];
+ vX_[8760] = vX_[8749] * vX_[1207];
+ vX_[8761] = vX_[8752] * vX_[1189];
+ vX_[8762] = vX_[8760] - vX_[8761];
+ vX_[8754] = vX_[8754] * vX_[1152] +
+ (vX_[8754] * vX_[1151] + vX_[8756] * vX_[1190] + vX_[8759] * vX_[1156] + vX_[8762] * vX_[1193]) * 2.;
+ vX_[8758] = 0 - vX_[8757] + vX_[8758];
+ vX_[8755] = vX_[8551] - vX_[8755];
+ vX_[8762] = vX_[8762] * vX_[1152] + vX_[8758] * vX_[1191] + vX_[8755] * vX_[1157];
+ vX_[8551] = 0 - vX_[8762];
+ vX_[8757] = vX_[8754] * vX_[1150] + vX_[8551] * vX_[1146];
+ vX_[8763] = vX_[8563] * vX_[1226];
+ vX_[8753] = 0 - vX_[8763] - vX_[8753];
+ vX_[8761] = vX_[8760] + vX_[8761];
+ vX_[8753] = vX_[8756] * vX_[1152] + vX_[8753] * vX_[1191] +
+ (vX_[8753] * vX_[1190] + vX_[8761] * vX_[1156] + vX_[8758] * vX_[1193]) * 2.;
+ vX_[8758] = 0 - vX_[8753];
+ vX_[8763] = 0 - vX_[8763] - vX_[8750];
+ vX_[8763] = vX_[8759] * vX_[1152] + vX_[8761] * vX_[1191] + vX_[8763] * vX_[1157] +
+ (vX_[8763] * vX_[1156] + vX_[8755] * vX_[1193]) * 2.;
+ vX_[8761] = vX_[8758] * vX_[1146] + vX_[8763] * vX_[1150];
+ vX_[8755] = vX_[8753] * vX_[1150] + vX_[8763] * vX_[1146];
+ vX_[8759] = vX_[8754] * vX_[1146] + vX_[8762] * vX_[1150];
+ vX_[8574] =
+ vX_[8574] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[8574] * vX_[1158] + vX_[8748] * vX_[1227] + vX_[8751] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[8751] = vX_[8574] * vX_[1250];
+ vX_[8748] = vX_[8574] * vX_[1181];
+ vX_[8750] = (vX_[8751] * vX_[1242] + vX_[8748] * vX_[1243]) * 2.;
+ vX_[8756] = 0 - vX_[8748];
+ vX_[8760] = vX_[8756] * vX_[1251] + vX_[8751] * vX_[1244];
+ vX_[8764] = 0 - vX_[8760];
+ vX_[8765] = vX_[8750] * vX_[1238] + vX_[8764] * vX_[1234];
+ vX_[8766] = vX_[8574] * vX_[1257];
+ vX_[8767] = 0 - vX_[8766];
+ vX_[8767] = vX_[8751] * vX_[1239] + vX_[8767] * vX_[1251] + (vX_[8767] * vX_[1242] + vX_[8756] * vX_[1245]) * 2.;
+ vX_[8756] = 0 - vX_[8767];
+ vX_[8766] = 0 - vX_[8766];
+ vX_[8766] = vX_[8748] * vX_[1239] + vX_[8766] * vX_[1244] + (vX_[8766] * vX_[1243] + vX_[8751] * vX_[1245]) * 2.;
+ vX_[8748] = vX_[8756] * vX_[1234] + vX_[8766] * vX_[1238];
+ vX_[8751] = vX_[8767] * vX_[1238] + vX_[8766] * vX_[1234];
+ vX_[8768] = vX_[8750] * vX_[1234] + vX_[8760] * vX_[1238];
+ vX_[8769] = vX_[8647] * vX_[2046] + vX_[8624] * vX_[2049] + vX_[8636] * vX_[2052];
+ vX_[8770] = vX_[8769] * vX_[1573] * -1000.;
+ vX_[8771] = vX_[8770] * vX_[1499];
+ vX_[8772] = vX_[8647] * vX_[2058] + vX_[8624] * vX_[2051] + vX_[8636] * vX_[2047];
+ vX_[8773] = vX_[8772] * vX_[1573] * -1000.;
+ vX_[8774] = vX_[8773] * vX_[1518];
+ vX_[8775] = 0 - vX_[8771] - vX_[8774];
+ vX_[8647] = vX_[8647] * vX_[2050] + vX_[8624] * vX_[2045] + vX_[8636] * vX_[2057];
+ vX_[8636] = vX_[8647] * vX_[1573] * -1000.;
+ vX_[8624] = vX_[8636] * vX_[1499];
+ vX_[8776] = vX_[8770] * vX_[1536];
+ vX_[8777] = vX_[8624] + vX_[8776];
+ vX_[8778] = vX_[8636] * vX_[1518];
+ vX_[8779] = vX_[8773] * vX_[1536];
+ vX_[8780] = vX_[8778] + vX_[8779];
+ vX_[8781] = vX_[8770] * vX_[1518];
+ vX_[8782] = vX_[8773] * vX_[1499];
+ vX_[8783] = vX_[8781] - vX_[8782];
+ vX_[8775] = vX_[8775] * vX_[1463] +
+ (vX_[8775] * vX_[1462] + vX_[8777] * vX_[1500] + vX_[8780] * vX_[1467] + vX_[8783] * vX_[1503]) * 2.;
+ vX_[8779] = 0 - vX_[8778] + vX_[8779];
+ vX_[8776] = vX_[8624] - vX_[8776];
+ vX_[8783] = vX_[8783] * vX_[1463] + vX_[8779] * vX_[1501] + vX_[8776] * vX_[1468];
+ vX_[8624] = 0 - vX_[8783];
+ vX_[8778] = vX_[8775] * vX_[1461] + vX_[8624] * vX_[1457];
+ vX_[8784] = vX_[8636] * vX_[1536];
+ vX_[8774] = 0 - vX_[8784] - vX_[8774];
+ vX_[8782] = vX_[8781] + vX_[8782];
+ vX_[8774] = vX_[8777] * vX_[1463] + vX_[8774] * vX_[1501] +
+ (vX_[8774] * vX_[1500] + vX_[8782] * vX_[1467] + vX_[8779] * vX_[1503]) * 2.;
+ vX_[8779] = 0 - vX_[8774];
+ vX_[8784] = 0 - vX_[8784] - vX_[8771];
+ vX_[8784] = vX_[8780] * vX_[1463] + vX_[8782] * vX_[1501] + vX_[8784] * vX_[1468] +
+ (vX_[8784] * vX_[1467] + vX_[8776] * vX_[1503]) * 2.;
+ vX_[8782] = vX_[8779] * vX_[1457] + vX_[8784] * vX_[1461];
+ vX_[8776] = vX_[8774] * vX_[1461] + vX_[8784] * vX_[1457];
+ vX_[8780] = vX_[8775] * vX_[1457] + vX_[8783] * vX_[1461];
+ vX_[8647] =
+ vX_[8647] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[8647] * vX_[1469] + vX_[8769] * vX_[1537] + vX_[8772] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[8772] = vX_[8647] * vX_[1560];
+ vX_[8769] = vX_[8647] * vX_[1491];
+ vX_[8771] = (vX_[8772] * vX_[1552] + vX_[8769] * vX_[1553]) * 2.;
+ vX_[8777] = 0 - vX_[8769];
+ vX_[8781] = vX_[8777] * vX_[1561] + vX_[8772] * vX_[1554];
+ vX_[8785] = 0 - vX_[8781];
+ vX_[8786] = vX_[8771] * vX_[1548] + vX_[8785] * vX_[1544];
+ vX_[8787] = vX_[8647] * vX_[1569];
+ vX_[8788] = 0 - vX_[8787];
+ vX_[8788] = vX_[8772] * vX_[1549] + vX_[8788] * vX_[1561] + (vX_[8788] * vX_[1552] + vX_[8777] * vX_[1555]) * 2.;
+ vX_[8777] = 0 - vX_[8788];
+ vX_[8787] = 0 - vX_[8787];
+ vX_[8787] = vX_[8769] * vX_[1549] + vX_[8787] * vX_[1554] + (vX_[8787] * vX_[1553] + vX_[8772] * vX_[1555]) * 2.;
+ vX_[8769] = vX_[8777] * vX_[1544] + vX_[8787] * vX_[1548];
+ vX_[8772] = vX_[8788] * vX_[1548] + vX_[8787] * vX_[1544];
+ vX_[8789] = vX_[8771] * vX_[1544] + vX_[8781] * vX_[1548];
+ vX_[8790] = vX_[8720] * vX_[2078] + vX_[8697] * vX_[2081] + vX_[8709] * vX_[2084];
+ vX_[8791] = vX_[8790] * vX_[1886] * -1000.;
+ vX_[8792] = vX_[8791] * vX_[1809];
+ vX_[8793] = vX_[8720] * vX_[2090] + vX_[8697] * vX_[2083] + vX_[8709] * vX_[2079];
+ vX_[8794] = vX_[8793] * vX_[1886] * -1000.;
+ vX_[8795] = vX_[8794] * vX_[1828];
+ vX_[8796] = 0 - vX_[8792] - vX_[8795];
+ vX_[8720] = vX_[8720] * vX_[2082] + vX_[8697] * vX_[2077] + vX_[8709] * vX_[2089];
+ vX_[8709] = vX_[8720] * vX_[1886] * -1000.;
+ vX_[8697] = vX_[8709] * vX_[1809];
+ vX_[8797] = vX_[8791] * vX_[1846];
+ vX_[8798] = vX_[8697] + vX_[8797];
+ vX_[8799] = vX_[8709] * vX_[1828];
+ vX_[8800] = vX_[8794] * vX_[1846];
+ vX_[8801] = vX_[8799] + vX_[8800];
+ vX_[8802] = vX_[8791] * vX_[1828];
+ vX_[8803] = vX_[8794] * vX_[1809];
+ vX_[8804] = vX_[8802] - vX_[8803];
+ vX_[8796] = vX_[8796] * vX_[1775] +
+ (vX_[8796] * vX_[1774] + vX_[8798] * vX_[1810] + vX_[8801] * vX_[1779] + vX_[8804] * vX_[1813]) * 2.;
+ vX_[8800] = 0 - vX_[8799] + vX_[8800];
+ vX_[8797] = vX_[8697] - vX_[8797];
+ vX_[8804] = vX_[8804] * vX_[1775] + vX_[8800] * vX_[1811] + vX_[8797] * vX_[1780];
+ vX_[8697] = 0 - vX_[8804];
+ vX_[8799] = vX_[8796] * vX_[1773] + vX_[8697] * vX_[1769];
+ vX_[8805] = vX_[8709] * vX_[1846];
+ vX_[8795] = 0 - vX_[8805] - vX_[8795];
+ vX_[8803] = vX_[8802] + vX_[8803];
+ vX_[8795] = vX_[8798] * vX_[1775] + vX_[8795] * vX_[1811] +
+ (vX_[8795] * vX_[1810] + vX_[8803] * vX_[1779] + vX_[8800] * vX_[1813]) * 2.;
+ vX_[8800] = 0 - vX_[8795];
+ vX_[8805] = 0 - vX_[8805] - vX_[8792];
+ vX_[8805] = vX_[8801] * vX_[1775] + vX_[8803] * vX_[1811] + vX_[8805] * vX_[1780] +
+ (vX_[8805] * vX_[1779] + vX_[8797] * vX_[1813]) * 2.;
+ vX_[8803] = vX_[8800] * vX_[1769] + vX_[8805] * vX_[1773];
+ vX_[8797] = vX_[8795] * vX_[1773] + vX_[8805] * vX_[1769];
+ vX_[8801] = vX_[8796] * vX_[1769] + vX_[8804] * vX_[1773];
+ vX_[8720] =
+ vX_[8720] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[8720] * vX_[1781] + vX_[8790] * vX_[1847] + vX_[8793] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[214] = vX_[8501] + vX_[8574] + vX_[8647] + vX_[8720];
+ vX_[8793] = vX_[8720] * vX_[1870];
+ vX_[8790] = vX_[8720] * vX_[1875];
+ vX_[8792] = (vX_[8793] * vX_[1862] + vX_[8790] * vX_[1863]) * 2.;
+ vX_[8798] = 0 - vX_[8790];
+ vX_[8802] = vX_[8798] * vX_[1871] + vX_[8793] * vX_[1864];
+ vX_[8806] = 0 - vX_[8802];
+ vX_[8807] = vX_[8792] * vX_[1858] + vX_[8806] * vX_[1854];
+ vX_[8808] = vX_[8720] * vX_[1882];
+ vX_[8809] = 0 - vX_[8808];
+ vX_[8809] = vX_[8793] * vX_[1859] + vX_[8809] * vX_[1871] + (vX_[8809] * vX_[1862] + vX_[8798] * vX_[1865]) * 2.;
+ vX_[8798] = 0 - vX_[8809];
+ vX_[8808] = 0 - vX_[8808];
+ vX_[8808] = vX_[8790] * vX_[1859] + vX_[8808] * vX_[1864] + (vX_[8808] * vX_[1863] + vX_[8793] * vX_[1865]) * 2.;
+ vX_[8790] = vX_[8798] * vX_[1854] + vX_[8808] * vX_[1858];
+ vX_[8793] = vX_[8809] * vX_[1858] + vX_[8808] * vX_[1854];
+ vX_[8810] = vX_[8792] * vX_[1854] + vX_[8802] * vX_[1858];
+ jac[34] = ((vX_[8504] * vX_[999] + vX_[8508] * vX_[994]) * vX_[1029] -
+ (vX_[8502] * vX_[999] + vX_[8506] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[8577] * vX_[1308] + vX_[8581] * vX_[1303]) * vX_[1340] -
+ (vX_[8575] * vX_[1308] + vX_[8579] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[8650] * vX_[1620] + vX_[8654] * vX_[1615]) * vX_[1650] -
+ (vX_[8648] * vX_[1620] + vX_[8652] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[8723] * vX_[1934] + vX_[8727] * vX_[1929]) * vX_[1966] -
+ (vX_[8721] * vX_[1934] + vX_[8725] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[8736] * vX_[834] + vX_[8740] * vX_[829]) * vX_[1992] -
+ (vX_[8734] * vX_[834] + vX_[8738] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[8744] * vX_[919] + vX_[8698] * vX_[914]) * vX_[1995] -
+ (vX_[8730] * vX_[919] + vX_[8747] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[8757] * vX_[1148] + vX_[8761] * vX_[1143]) * vX_[2024] -
+ (vX_[8755] * vX_[1148] + vX_[8759] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[8765] * vX_[1236] + vX_[8748] * vX_[1231]) * vX_[2027] -
+ (vX_[8751] * vX_[1236] + vX_[8768] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[8778] * vX_[1459] + vX_[8782] * vX_[1454]) * vX_[2056] -
+ (vX_[8776] * vX_[1459] + vX_[8780] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[8786] * vX_[1546] + vX_[8769] * vX_[1541]) * vX_[2059] -
+ (vX_[8772] * vX_[1546] + vX_[8789] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[8799] * vX_[1771] + vX_[8803] * vX_[1766]) * vX_[2088] -
+ (vX_[8797] * vX_[1771] + vX_[8801] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[8807] * vX_[1856] + vX_[8790] * vX_[1851]) * vX_[2091] -
+ (vX_[8793] * vX_[1856] + vX_[8810] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[8811] = -1. + -4.21975478400367 * vX_[764] + -0.0168251785646079 * vX_[54];
+ vX_[8812] = vX_[8811] * 1 / vX_[72];
+ vX_[8813] = 0 - vX_[8812];
+ vX_[8814] = vX_[8813] * vX_[79];
+ vX_[8815] = 0 - vX_[8812];
+ vX_[8816] = vX_[8815] * vX_[60];
+ vX_[8817] = vX_[8814] * vX_[76] + vX_[8816] * vX_[4];
+ vX_[8818] = vX_[8817] * 1 / vX_[123];
+ vX_[8819] = 0 - vX_[8818];
+ vX_[8820] = vX_[8819] * vX_[97];
+ vX_[8821] = 0 - vX_[8812];
+ vX_[8822] = -4.21975478400367 * vX_[7] + -0.0168251785646079 * vX_[51] + vX_[8821] * vX_[83];
+ vX_[8823] = 0 - vX_[8812];
+ vX_[8824] = -4.21975478400367 * vX_[756] + -0.0168251785646079 * vX_[7] + vX_[8823] * vX_[70];
+ vX_[8825] = 0 - vX_[8818];
+ vX_[8826] = vX_[8822] * vX_[751] + vX_[8824] * vX_[75] + vX_[8825] * vX_[88];
+ vX_[8827] = 0 - vX_[8818];
+ vX_[8817] = vX_[8817] + vX_[8827] * vX_[123] + vX_[8820] * vX_[706] + vX_[8826] * vX_[27];
+ vX_[8828] = 0 - vX_[8812];
+ vX_[8829] = 0 - vX_[8818];
+ vX_[8811] = vX_[8811] + vX_[8828] * vX_[72] + vX_[8822] * vX_[752] + vX_[8824] * vX_[93] + vX_[8829] * vX_[148];
+ vX_[8830] = 0 - vX_[8818];
+ vX_[8831] = vX_[8814] * vX_[4] + vX_[8816] * vX_[75] + vX_[8830] * vX_[157];
+ vX_[8832] = 0 - (vX_[8820] * vX_[138] + vX_[8826] * vX_[727] + vX_[8811] * vX_[1] + vX_[8831] * vX_[126]) +
+ vX_[8817] * vX_[637];
+ vX_[8833] = 0 - vX_[8832];
+ vX_[8834] = 0 - vX_[8818];
+ vX_[8835] = vX_[8822] * vX_[750] + vX_[8824] * vX_[754] + vX_[8834] * vX_[135];
+ vX_[8836] = 0 - vX_[8832];
+ vX_[8837] = 0 - (vX_[8835] * 0.207 + vX_[8820] * vX_[140] + vX_[8826] * vX_[728] + vX_[8811] * vX_[126] +
+ vX_[8831] * vX_[139]) +
+ vX_[8817] * vX_[624] + vX_[8836] * vX_[668];
+ vX_[8838] = 0 - vX_[8837];
+ vX_[8839] = 0 - vX_[8832];
+ vX_[8840] = 0 - vX_[8837];
+ vX_[8835] = 0 - vX_[8835] + vX_[8817] * vX_[590] + vX_[8839] * vX_[666] + vX_[8840] * vX_[664];
+ vX_[8841] = 0 - vX_[8835];
+ vX_[8842] = 0 - vX_[8832];
+ vX_[8843] = 0 - vX_[8837];
+ vX_[8844] = 0 - vX_[8835];
+ vX_[8845] = 0 - (vX_[8820] * vX_[1] + vX_[8826] * vX_[126]) + vX_[8817] * vX_[723] + vX_[8842] * vX_[725] +
+ vX_[8843] * vX_[731] + vX_[8844] * vX_[737];
+ vX_[8846] = 0 - vX_[8845];
+ vX_[8847] = (0 - (vX_[8820] * vX_[126] + vX_[8826] * vX_[729]) + vX_[8817] * vX_[620] + vX_[8833] * vX_[602] +
+ vX_[8838] * vX_[604] + vX_[8841] * vX_[722] + vX_[8846] * vX_[712]) *
+ 1 / vX_[720];
+ vX_[8848] = 0 - vX_[8847];
+ vX_[8845] = (vX_[8845] + vX_[8848] * vX_[743]) * 1 / vX_[718];
+ vX_[8849] = 0 - vX_[8847];
+ vX_[8850] = 0 - vX_[8845];
+ vX_[8851] = 0 - vX_[8847];
+ vX_[8852] = 0 - vX_[8845];
+ vX_[8835] = (vX_[8835] + vX_[8851] * vX_[689] + vX_[8852] * vX_[736]) * 1 / vX_[721];
+ vX_[8853] = 0 - vX_[8835];
+ vX_[8837] = (vX_[8837] + vX_[8849] * vX_[682] + vX_[8850] * vX_[730] + vX_[8853] * vX_[509]) * 1 / vX_[618];
+ vX_[8854] = 0 - vX_[8847];
+ vX_[8855] = 0 - vX_[8845];
+ vX_[8856] = 0 - vX_[8835];
+ vX_[8857] = 0 - vX_[8837];
+ vX_[8832] =
+ (vX_[8832] + vX_[8854] * vX_[662] + vX_[8855] * vX_[633] + vX_[8856] * vX_[691] + vX_[8857] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[8858] = 0 - vX_[8847];
+ vX_[8859] = 0 - vX_[8845];
+ vX_[8860] = 0 - vX_[8835];
+ vX_[8861] = 0 - vX_[8837];
+ vX_[8862] = 0 - vX_[8832];
+ vX_[8863] = (0 - vX_[8817] + vX_[8858] * vX_[510] + vX_[8859] * vX_[518] + vX_[8860] * vX_[690] +
+ vX_[8861] * vX_[628] + vX_[8862] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8864] =
+ vX_[8847] * vX_[126] + vX_[8845] * vX_[1] + vX_[8837] * vX_[140] + vX_[8832] * vX_[138] + vX_[8863] * vX_[706];
+ vX_[8865] = vX_[8835] + vX_[8837] * 0.207;
+ vX_[8866] = vX_[8865] * 1 / vX_[123];
+ vX_[8867] = vX_[8864] * 1 / vX_[123];
+ vX_[8868] =
+ vX_[8847] * vX_[729] + vX_[8845] * vX_[126] + vX_[8837] * vX_[728] + vX_[8832] * vX_[727] + vX_[8863] * vX_[27];
+ vX_[8869] = vX_[8868] * 1 / vX_[123];
+ vX_[8870] = vX_[8863] * 1 / vX_[123];
+ vX_[8871] = vX_[8837] * vX_[126] + vX_[8832] * vX_[1];
+ vX_[8872] = vX_[8871] * 1 / vX_[123];
+ vX_[8873] = vX_[8837] * vX_[139] + vX_[8832] * vX_[126];
+ vX_[8874] = vX_[8873] * 1 / vX_[123];
+ vX_[8875] = vX_[8863] - (vX_[8818] + vX_[8866] * vX_[135] + vX_[8867] * vX_[97] + vX_[8869] * vX_[88] +
+ vX_[8870] * vX_[123] + vX_[8872] * vX_[148] + vX_[8874] * vX_[157]);
+ vX_[8876] = vX_[8864] + vX_[8875] * 0.08;
+ vX_[8877] = vX_[8875] * vX_[76] + vX_[8873] * vX_[4];
+ vX_[8878] = vX_[8876] + vX_[8877] * -0.35;
+ vX_[8879] = 0 - vX_[8878];
+ vX_[8880] = vX_[8865] * vX_[750] + vX_[8868] * vX_[751] + vX_[8871] * vX_[752];
+ vX_[8881] = vX_[8865] * vX_[754] + vX_[8868] * vX_[75] + vX_[8871] * vX_[93];
+ vX_[8882] = vX_[8880] * 1 / vX_[72];
+ vX_[8883] = vX_[8881] * 1 / vX_[72];
+ vX_[8884] = vX_[8871] * 1 / vX_[72];
+ vX_[8885] = vX_[8877] * 1 / vX_[72];
+ vX_[8886] = vX_[8875] * vX_[4] + vX_[8873] * vX_[75];
+ vX_[8887] = vX_[8886] * 1 / vX_[72];
+ vX_[8888] = vX_[8871] - (vX_[8812] + vX_[8882] * vX_[83] + vX_[8883] * vX_[70] + vX_[8884] * vX_[72] +
+ vX_[8885] * vX_[79] + vX_[8887] * vX_[60]);
+ vX_[8889] = vX_[8880] * vX_[7] + vX_[8881] * vX_[756] + vX_[8888] * vX_[764];
+ vX_[8890] = 0 - vX_[8889];
+ vX_[8891] = vX_[8880] * vX_[51] + vX_[8881] * vX_[7] + vX_[8888] * vX_[54];
+ vX_[8892] = 0 - vX_[8891];
+ vX_[8893] = vX_[8888] - (38.1956380581338 + vX_[8889] * 38.1956380581338 * 0.1104774 +
+ vX_[8891] * 38.1956380581338 * 0.0004405 + vX_[8888] * 38.1956380581338 * 0.026181);
+ vX_[8894] = 0 - vX_[8893];
+ vX_[8895] = vX_[8877] * vX_[7] + vX_[8886] * vX_[52];
+ vX_[8896] = 0 - vX_[8895];
+ vX_[8897] = vX_[8877] * vX_[51] + vX_[8886] * vX_[7];
+ vX_[8898] = 0 - vX_[8897];
+ vX_[8899] = 0 - vX_[8893];
+ vX_[8900] = 0 - vX_[8895];
+ vX_[8901] = 0 - vX_[8897];
+ vX_[8902] = vX_[8899] * vX_[126] + vX_[8900] * vX_[803] + vX_[8901] * vX_[806];
+ vX_[8903] = 0 - vX_[8895];
+ vX_[8904] = 0 - vX_[8897];
+ vX_[8905] = vX_[8903] * vX_[812] + vX_[8904] * vX_[816];
+ vX_[8906] = 0 - vX_[8905];
+ vX_[8907] = vX_[8879] * vX_[1] + vX_[8890] * vX_[771] + vX_[8892] * vX_[776] + vX_[8894] * vX_[780] +
+ vX_[8896] * vX_[789] + vX_[8898] * vX_[797] + vX_[8902] * vX_[810] + vX_[8906] * vX_[824];
+ vX_[8908] = vX_[8907] * vX_[951];
+ vX_[8909] = 0 - vX_[8889];
+ vX_[8910] = 0 - vX_[8891];
+ vX_[8911] = 0 - vX_[8893];
+ vX_[8912] = 0 - vX_[8895];
+ vX_[8913] = 0 - vX_[8897];
+ vX_[8914] = 0 - vX_[8902];
+ vX_[8915] = 0 - vX_[8893];
+ vX_[8916] = 0 - vX_[8895];
+ vX_[8917] = 0 - vX_[8897];
+ vX_[8918] = vX_[8915] * vX_[1] + vX_[8916] * vX_[770] + vX_[8917] * vX_[775];
+ vX_[8919] = vX_[8909] * vX_[812] + vX_[8910] * vX_[815] + vX_[8911] * vX_[957] + vX_[8912] * vX_[963] +
+ vX_[8913] * vX_[968] + vX_[8914] * vX_[975] + vX_[8918] * vX_[824];
+ vX_[8920] = vX_[8919] * vX_[988];
+ vX_[8921] = 0 - vX_[8908] - vX_[8920];
+ vX_[8922] = vX_[8907] * vX_[984];
+ vX_[8923] = 0 - vX_[8878];
+ vX_[8924] = 0 - vX_[8889];
+ vX_[8925] = 0 - vX_[8891];
+ vX_[8926] = 0 - vX_[8893];
+ vX_[8927] = 0 - vX_[8895];
+ vX_[8928] = 0 - vX_[8897];
+ vX_[8929] = 0 - vX_[8918];
+ vX_[8930] = vX_[8923] * vX_[126] + vX_[8924] * vX_[801] + vX_[8925] * vX_[805] + vX_[8926] * vX_[1010] +
+ vX_[8927] * vX_[1018] + vX_[8928] * vX_[1026] + vX_[8929] * vX_[810] + vX_[8905] * vX_[975];
+ vX_[8931] = vX_[8930] * vX_[951];
+ vX_[8932] = vX_[8922] + vX_[8931];
+ vX_[8933] = vX_[8919] * vX_[984];
+ vX_[8934] = vX_[8930] * vX_[988];
+ vX_[8935] = vX_[8933] + vX_[8934];
+ vX_[8936] = vX_[8919] * vX_[951];
+ vX_[8937] = vX_[8907] * vX_[988];
+ vX_[8938] = vX_[8936] - vX_[8937];
+ vX_[8921] = vX_[8921] * vX_[1003] +
+ (vX_[8921] * vX_[1002] + vX_[8932] * vX_[1033] + vX_[8935] * vX_[1037] + vX_[8938] * vX_[1041]) * 2.;
+ vX_[8934] = 0 - vX_[8933] + vX_[8934];
+ vX_[8931] = vX_[8922] - vX_[8931];
+ vX_[8938] = vX_[8938] * vX_[1003] + vX_[8934] * vX_[1034] + vX_[8931] * vX_[892];
+ vX_[8922] = 0 - vX_[8938];
+ vX_[8933] = vX_[8921] * vX_[1001] + vX_[8922] * vX_[997];
+ vX_[1002] = vX_[8930] * vX_[984];
+ vX_[8920] = 0 - vX_[1002] - vX_[8920];
+ vX_[8937] = vX_[8936] + vX_[8937];
+ vX_[8920] = vX_[8932] * vX_[1003] + vX_[8920] * vX_[1034] +
+ (vX_[8920] * vX_[1033] + vX_[8937] * vX_[1037] + vX_[8934] * vX_[1041]) * 2.;
+ vX_[8934] = 0 - vX_[8920];
+ vX_[1002] = 0 - vX_[1002] - vX_[8908];
+ vX_[1002] = vX_[8935] * vX_[1003] + vX_[8937] * vX_[1034] + vX_[1002] * vX_[892] +
+ (vX_[1002] * vX_[1037] + vX_[8931] * vX_[1041]) * 2.;
+ vX_[8937] = vX_[8934] * vX_[997] + vX_[1002] * vX_[1001];
+ vX_[8931] = vX_[8920] * vX_[1001] + vX_[1002] * vX_[997];
+ vX_[1001] = vX_[8921] * vX_[997] + vX_[8938] * vX_[1001];
+ vX_[997] = vX_[8847] * vX_[235] + vX_[8845] * vX_[1030] + vX_[8837] * vX_[250] + vX_[8832] * vX_[248] +
+ vX_[8863] * vX_[1038];
+ vX_[8935] = vX_[8863] * -1;
+ vX_[892] = vX_[8835] * -1 + vX_[8837] * 0.207;
+ vX_[1034] = vX_[892] * 1 / vX_[232];
+ vX_[1041] = vX_[997] * 1 / vX_[232];
+ vX_[1037] = vX_[8847] * vX_[1050] + vX_[8845] * vX_[1051] + vX_[8837] * vX_[1052] + vX_[8832] * vX_[1053] +
+ vX_[8863] * vX_[164];
+ vX_[1003] = vX_[1037] * 1 / vX_[232];
+ vX_[8908] = vX_[8935] * 1 / vX_[232];
+ vX_[8932] = vX_[8837] * vX_[235] + vX_[8832] * vX_[249];
+ vX_[1033] = vX_[8932] * 1 / vX_[232];
+ vX_[8936] = vX_[8837] * vX_[249] + vX_[8832] * vX_[247];
+ vX_[8939] = vX_[8936] * 1 / vX_[232];
+ vX_[8935] = vX_[8935] - (vX_[1034] * vX_[244] + vX_[1041] * vX_[206] + vX_[1003] * vX_[196] + vX_[8908] * vX_[232] +
+ vX_[1033] * vX_[258] + vX_[8939] * vX_[267]);
+ vX_[8940] = vX_[997] * -1 + vX_[8935] * -0.08;
+ vX_[8941] = vX_[8935] * vX_[186] + vX_[8936] * vX_[195];
+ vX_[8942] = vX_[8940] + vX_[8941] * -0.35;
+ vX_[8943] = 0 - vX_[8942];
+ vX_[8944] = vX_[892] * vX_[186] + vX_[1037] * vX_[1065] + vX_[8932] * vX_[1066];
+ vX_[8945] = vX_[892] * vX_[166] + vX_[1037] * vX_[186] + vX_[8932] * vX_[201];
+ vX_[8946] = vX_[8932] * -1;
+ vX_[8947] = vX_[8944] * 1 / vX_[183];
+ vX_[8948] = vX_[8945] * 1 / vX_[183];
+ vX_[8949] = vX_[8946] * 1 / vX_[183];
+ vX_[8950] = vX_[8941] * 1 / vX_[183];
+ vX_[8951] = vX_[8935] * vX_[166] + vX_[8936] * vX_[186];
+ vX_[8952] = vX_[8951] * 1 / vX_[183];
+ vX_[8946] = vX_[8946] - (vX_[8947] * vX_[190] + vX_[8948] * vX_[181] + vX_[8949] * vX_[183] + vX_[8950] * 2.1e-05 +
+ vX_[8952] * -0.000102);
+ vX_[8953] = vX_[8944] * vX_[169] + vX_[8945] * vX_[1069] + vX_[8946] * vX_[1077];
+ vX_[8954] = 0 - vX_[8953];
+ vX_[8955] = vX_[8944] * vX_[167] + vX_[8945] * vX_[169] + vX_[8946] * vX_[168];
+ vX_[8956] = 0 - vX_[8955];
+ vX_[8957] = vX_[8946] - (vX_[8953] * 38.1956380581338 * 0.110125 + vX_[8955] * 38.1956380581338 * 0.000881 +
+ vX_[8946] * 38.1956380581338 * 0.026181);
+ vX_[8958] = 0 - vX_[8957];
+ vX_[8959] = vX_[8941] * vX_[169] + vX_[8951] * vX_[175];
+ vX_[8960] = 0 - vX_[8959];
+ vX_[8961] = vX_[8941] * vX_[167] + vX_[8951] * vX_[169];
+ vX_[8962] = 0 - vX_[8961];
+ vX_[8963] = 0 - vX_[8957];
+ vX_[8964] = 0 - vX_[8959];
+ vX_[8965] = 0 - vX_[8961];
+ vX_[8966] = vX_[8963] * vX_[1111] + vX_[8964] * vX_[1116] + vX_[8965] * vX_[1120];
+ vX_[8967] = 0 - vX_[8959];
+ vX_[8968] = 0 - vX_[8961];
+ vX_[8969] = vX_[8967] * vX_[1126] + vX_[8968] * vX_[1130];
+ vX_[8970] = 0 - vX_[8969];
+ vX_[8971] = vX_[8943] * vX_[163] + vX_[8954] * vX_[1083] + vX_[8956] * vX_[1088] + vX_[8958] * vX_[1092] +
+ vX_[8960] * vX_[1101] + vX_[8962] * vX_[1109] + vX_[8966] * vX_[1124] + vX_[8970] * vX_[1138];
+ vX_[8972] = vX_[8971] * vX_[1262];
+ vX_[8973] = 0 - vX_[8953];
+ vX_[8974] = 0 - vX_[8955];
+ vX_[8975] = 0 - vX_[8957];
+ vX_[8976] = 0 - vX_[8959];
+ vX_[8977] = 0 - vX_[8961];
+ vX_[8978] = 0 - vX_[8966];
+ vX_[8979] = 0 - vX_[8957];
+ vX_[8980] = 0 - vX_[8959];
+ vX_[8981] = 0 - vX_[8961];
+ vX_[8982] = vX_[8979] * vX_[163] + vX_[8980] * vX_[1082] + vX_[8981] * vX_[1086];
+ vX_[8983] = vX_[8973] * vX_[1126] + vX_[8974] * vX_[1129] + vX_[8975] * vX_[1268] + vX_[8976] * vX_[1274] +
+ vX_[8977] * vX_[1279] + vX_[8978] * vX_[1219] + vX_[8982] * vX_[1138];
+ vX_[8984] = vX_[8983] * vX_[1297];
+ vX_[8985] = 0 - vX_[8972] - vX_[8984];
+ vX_[8986] = vX_[8971] * vX_[1293];
+ vX_[8987] = 0 - vX_[8942];
+ vX_[8988] = 0 - vX_[8953];
+ vX_[8989] = 0 - vX_[8955];
+ vX_[8990] = 0 - vX_[8957];
+ vX_[8991] = 0 - vX_[8959];
+ vX_[8992] = 0 - vX_[8961];
+ vX_[8993] = 0 - vX_[8982];
+ vX_[8994] = vX_[8987] * vX_[1314] + vX_[8988] * vX_[1114] + vX_[8989] * vX_[1119] + vX_[8990] * vX_[1321] +
+ vX_[8991] * vX_[1329] + vX_[8992] * vX_[1337] + vX_[8993] * vX_[1124] + vX_[8969] * vX_[1219];
+ vX_[8995] = vX_[8994] * vX_[1262];
+ vX_[8996] = vX_[8986] + vX_[8995];
+ vX_[8997] = vX_[8983] * vX_[1293];
+ vX_[8998] = vX_[8994] * vX_[1297];
+ vX_[8999] = vX_[8997] + vX_[8998];
+ vX_[9000] = vX_[8983] * vX_[1262];
+ vX_[9001] = vX_[8971] * vX_[1297];
+ vX_[9002] = vX_[9000] - vX_[9001];
+ vX_[8985] = vX_[8985] * vX_[1312] +
+ (vX_[8985] * vX_[1311] + vX_[8996] * vX_[1344] + vX_[8999] * vX_[1348] + vX_[9002] * vX_[1352]) * 2.;
+ vX_[8998] = 0 - vX_[8997] + vX_[8998];
+ vX_[8995] = vX_[8986] - vX_[8995];
+ vX_[9002] = vX_[9002] * vX_[1312] + vX_[8998] * vX_[1345] + vX_[8995] * vX_[1208];
+ vX_[8986] = 0 - vX_[9002];
+ vX_[8997] = vX_[8985] * vX_[1310] + vX_[8986] * vX_[1306];
+ vX_[1311] = vX_[8994] * vX_[1293];
+ vX_[8984] = 0 - vX_[1311] - vX_[8984];
+ vX_[9001] = vX_[9000] + vX_[9001];
+ vX_[8984] = vX_[8996] * vX_[1312] + vX_[8984] * vX_[1345] +
+ (vX_[8984] * vX_[1344] + vX_[9001] * vX_[1348] + vX_[8998] * vX_[1352]) * 2.;
+ vX_[8998] = 0 - vX_[8984];
+ vX_[1311] = 0 - vX_[1311] - vX_[8972];
+ vX_[1311] = vX_[8999] * vX_[1312] + vX_[9001] * vX_[1345] + vX_[1311] * vX_[1208] +
+ (vX_[1311] * vX_[1348] + vX_[8995] * vX_[1352]) * 2.;
+ vX_[9001] = vX_[8998] * vX_[1306] + vX_[1311] * vX_[1310];
+ vX_[8995] = vX_[8984] * vX_[1310] + vX_[1311] * vX_[1306];
+ vX_[1310] = vX_[8985] * vX_[1306] + vX_[9002] * vX_[1310];
+ vX_[1306] = vX_[8847] * vX_[354] + vX_[8845] * vX_[273] + vX_[8837] * vX_[368] + vX_[8832] * vX_[366] +
+ vX_[8863] * vX_[1341];
+ vX_[8999] = vX_[8835] + vX_[8837] * 0.207;
+ vX_[1208] = vX_[8999] * 1 / vX_[351];
+ vX_[1345] = vX_[1306] * 1 / vX_[351];
+ vX_[1352] = vX_[8847] * vX_[1359] + vX_[8845] * vX_[354] + vX_[8837] * vX_[1360] + vX_[8832] * vX_[1361] +
+ vX_[8863] * vX_[274];
+ vX_[1348] = vX_[1352] * 1 / vX_[351];
+ vX_[1312] = vX_[8863] * 1 / vX_[351];
+ vX_[8972] = vX_[8837] * vX_[354] + vX_[8832] * vX_[273];
+ vX_[8996] = vX_[8972] * 1 / vX_[351];
+ vX_[1344] = vX_[8837] * vX_[367] + vX_[8832] * vX_[354];
+ vX_[9000] = vX_[1344] * 1 / vX_[351];
+ vX_[9003] = vX_[8863] - (vX_[1208] * vX_[363] + vX_[1345] * vX_[325] + vX_[1348] * vX_[316] + vX_[1312] * vX_[351] +
+ vX_[8996] * vX_[376] + vX_[9000] * vX_[385]);
+ vX_[9004] = vX_[1306] + vX_[9003] * 0.08;
+ vX_[9005] = vX_[9003] * vX_[304] + vX_[1344] * vX_[276];
+ vX_[9006] = vX_[9004] + vX_[9005] * -0.35;
+ vX_[9007] = 0 - vX_[9006];
+ vX_[9008] = vX_[8999] * vX_[1374] + vX_[1352] * vX_[1375] + vX_[8972] * vX_[1376];
+ vX_[9009] = vX_[8999] * vX_[1378] + vX_[1352] * vX_[303] + vX_[8972] * vX_[321];
+ vX_[9010] = vX_[9008] * 1 / vX_[300];
+ vX_[9011] = vX_[9009] * 1 / vX_[300];
+ vX_[9012] = vX_[8972] * 1 / vX_[300];
+ vX_[9013] = vX_[9005] * 1 / vX_[300];
+ vX_[9014] = vX_[9003] * vX_[276] + vX_[1344] * vX_[303];
+ vX_[9015] = vX_[9014] * 1 / vX_[300];
+ vX_[9016] = vX_[8972] - (vX_[9010] * vX_[311] + vX_[9011] * vX_[298] + vX_[9012] * vX_[300] + vX_[9013] * vX_[307] +
+ vX_[9015] * vX_[288]);
+ vX_[9017] = vX_[9008] * vX_[277] + vX_[9009] * vX_[1380] + vX_[9016] * vX_[1388];
+ vX_[9018] = 0 - vX_[9017];
+ vX_[9019] = vX_[9008] * vX_[279] + vX_[9009] * vX_[277] + vX_[9016] * vX_[282];
+ vX_[9020] = 0 - vX_[9019];
+ vX_[9021] = vX_[9016] - (vX_[9017] * 38.1956380581338 * 0.1104774 + vX_[9019] * 38.1956380581338 * -0.0004405 +
+ vX_[9016] * 38.1956380581338 * 0.026181);
+ vX_[9022] = 0 - vX_[9021];
+ vX_[9023] = vX_[9005] * vX_[277] + vX_[9014] * vX_[280];
+ vX_[9024] = 0 - vX_[9023];
+ vX_[9025] = vX_[9005] * vX_[279] + vX_[9014] * vX_[277];
+ vX_[9026] = 0 - vX_[9025];
+ vX_[9027] = 0 - vX_[9021];
+ vX_[9028] = 0 - vX_[9023];
+ vX_[9029] = 0 - vX_[9025];
+ vX_[9030] = vX_[9027] * vX_[354] + vX_[9028] * vX_[1428] + vX_[9029] * vX_[1431];
+ vX_[9031] = 0 - vX_[9023];
+ vX_[9032] = 0 - vX_[9025];
+ vX_[9033] = vX_[9031] * vX_[1437] + vX_[9032] * vX_[1441];
+ vX_[9034] = 0 - vX_[9033];
+ vX_[9035] = vX_[9007] * vX_[273] + vX_[9018] * vX_[1395] + vX_[9020] * vX_[1400] + vX_[9022] * vX_[1404] +
+ vX_[9024] * vX_[1413] + vX_[9026] * vX_[1422] + vX_[9030] * vX_[1435] + vX_[9034] * vX_[1449];
+ vX_[9036] = vX_[9035] * vX_[1574];
+ vX_[9037] = 0 - vX_[9017];
+ vX_[9038] = 0 - vX_[9019];
+ vX_[9039] = 0 - vX_[9021];
+ vX_[9040] = 0 - vX_[9023];
+ vX_[9041] = 0 - vX_[9025];
+ vX_[9042] = 0 - vX_[9030];
+ vX_[9043] = 0 - vX_[9021];
+ vX_[9044] = 0 - vX_[9023];
+ vX_[9045] = 0 - vX_[9025];
+ vX_[9046] = vX_[9043] * vX_[273] + vX_[9044] * vX_[1394] + vX_[9045] * vX_[1399];
+ vX_[9047] = vX_[9037] * vX_[1437] + vX_[9038] * vX_[1440] + vX_[9039] * vX_[1580] + vX_[9040] * vX_[1586] +
+ vX_[9041] * vX_[1591] + vX_[9042] * vX_[1596] + vX_[9046] * vX_[1449];
+ vX_[9048] = vX_[9047] * vX_[1609];
+ vX_[9049] = 0 - vX_[9036] - vX_[9048];
+ vX_[9050] = vX_[9035] * vX_[1605];
+ vX_[9051] = 0 - vX_[9006];
+ vX_[9052] = 0 - vX_[9017];
+ vX_[9053] = 0 - vX_[9019];
+ vX_[9054] = 0 - vX_[9021];
+ vX_[9055] = 0 - vX_[9023];
+ vX_[9056] = 0 - vX_[9025];
+ vX_[9057] = 0 - vX_[9046];
+ vX_[9058] = vX_[9051] * vX_[354] + vX_[9052] * vX_[1426] + vX_[9053] * vX_[1430] + vX_[9054] * vX_[1631] +
+ vX_[9055] * vX_[1639] + vX_[9056] * vX_[1647] + vX_[9057] * vX_[1435] + vX_[9033] * vX_[1596];
+ vX_[9059] = vX_[9058] * vX_[1574];
+ vX_[9060] = vX_[9050] + vX_[9059];
+ vX_[9061] = vX_[9047] * vX_[1605];
+ vX_[9062] = vX_[9058] * vX_[1609];
+ vX_[9063] = vX_[9061] + vX_[9062];
+ vX_[9064] = vX_[9047] * vX_[1574];
+ vX_[9065] = vX_[9035] * vX_[1609];
+ vX_[9066] = vX_[9064] - vX_[9065];
+ vX_[9049] = vX_[9049] * vX_[1624] +
+ (vX_[9049] * vX_[1623] + vX_[9060] * vX_[1654] + vX_[9063] * vX_[1658] + vX_[9066] * vX_[1662]) * 2.;
+ vX_[9062] = 0 - vX_[9061] + vX_[9062];
+ vX_[9059] = vX_[9050] - vX_[9059];
+ vX_[9066] = vX_[9066] * vX_[1624] + vX_[9062] * vX_[1655] + vX_[9059] * vX_[1519];
+ vX_[9050] = 0 - vX_[9066];
+ vX_[9061] = vX_[9049] * vX_[1622] + vX_[9050] * vX_[1618];
+ vX_[1623] = vX_[9058] * vX_[1605];
+ vX_[9048] = 0 - vX_[1623] - vX_[9048];
+ vX_[9065] = vX_[9064] + vX_[9065];
+ vX_[9048] = vX_[9060] * vX_[1624] + vX_[9048] * vX_[1655] +
+ (vX_[9048] * vX_[1654] + vX_[9065] * vX_[1658] + vX_[9062] * vX_[1662]) * 2.;
+ vX_[9062] = 0 - vX_[9048];
+ vX_[1623] = 0 - vX_[1623] - vX_[9036];
+ vX_[1623] = vX_[9063] * vX_[1624] + vX_[9065] * vX_[1655] + vX_[1623] * vX_[1519] +
+ (vX_[1623] * vX_[1658] + vX_[9059] * vX_[1662]) * 2.;
+ vX_[9065] = vX_[9062] * vX_[1618] + vX_[1623] * vX_[1622];
+ vX_[9059] = vX_[9048] * vX_[1622] + vX_[1623] * vX_[1618];
+ vX_[1622] = vX_[9049] * vX_[1618] + vX_[9066] * vX_[1622];
+ vX_[1618] = vX_[8847] * vX_[473] + vX_[8845] * vX_[1651] + vX_[8837] * vX_[488] + vX_[8832] * vX_[486] +
+ vX_[8863] * vX_[1659];
+ vX_[9063] = vX_[8863] * -1;
+ vX_[1519] = vX_[8835] * -1 + vX_[8837] * 0.207;
+ vX_[1655] = vX_[1519] * 1 / vX_[470];
+ vX_[1662] = vX_[1618] * 1 / vX_[470];
+ vX_[1658] = vX_[8847] * vX_[1671] + vX_[8845] * vX_[1672] + vX_[8837] * vX_[1673] + vX_[8832] * vX_[1674] +
+ vX_[8863] * vX_[392];
+ vX_[1624] = vX_[1658] * 1 / vX_[470];
+ vX_[9036] = vX_[9063] * 1 / vX_[470];
+ vX_[9060] = vX_[8837] * vX_[473] + vX_[8832] * vX_[487];
+ vX_[1654] = vX_[9060] * 1 / vX_[470];
+ vX_[9064] = vX_[8837] * vX_[487] + vX_[8832] * vX_[485];
+ vX_[9067] = vX_[9064] * 1 / vX_[470];
+ vX_[9063] = vX_[9063] - (vX_[1655] * vX_[482] + vX_[1662] * vX_[444] + vX_[1624] * vX_[434] + vX_[9036] * vX_[470] +
+ vX_[1654] * vX_[496] + vX_[9067] * vX_[505]);
+ vX_[9068] = vX_[1618] * -1 + vX_[9063] * -0.08;
+ vX_[9069] = vX_[9063] * vX_[421] + vX_[9064] * vX_[433];
+ vX_[9070] = vX_[9068] + vX_[9069] * -0.35;
+ vX_[9071] = 0 - vX_[9070];
+ vX_[9072] = vX_[1519] * vX_[421] + vX_[1658] * vX_[1686] + vX_[9060] * vX_[1687];
+ vX_[9073] = vX_[1519] * vX_[394] + vX_[1658] * vX_[421] + vX_[9060] * vX_[439];
+ vX_[9074] = vX_[9060] * -1;
+ vX_[9075] = vX_[9072] * 1 / vX_[418];
+ vX_[9076] = vX_[9073] * 1 / vX_[418];
+ vX_[9077] = vX_[9074] * 1 / vX_[418];
+ vX_[9078] = vX_[9069] * 1 / vX_[418];
+ vX_[9079] = vX_[9063] * vX_[394] + vX_[9064] * vX_[421];
+ vX_[9080] = vX_[9079] * 1 / vX_[418];
+ vX_[9074] = vX_[9074] - (vX_[9075] * vX_[428] + vX_[9076] * vX_[416] + vX_[9077] * vX_[418] + vX_[9078] * vX_[424] +
+ vX_[9080] * vX_[406]);
+ vX_[9081] = vX_[9072] * vX_[395] + vX_[9073] * vX_[1690] + vX_[9074] * vX_[1698];
+ vX_[9082] = 0 - vX_[9081];
+ vX_[9083] = vX_[9072] * vX_[397] + vX_[9073] * vX_[395] + vX_[9074] * vX_[400];
+ vX_[9084] = 0 - vX_[9083];
+ vX_[9085] = vX_[9074] - (vX_[9081] * 38.1956380581338 * 0.1104774 + vX_[9083] * 38.1956380581338 * -0.0004405 +
+ vX_[9074] * 38.1956380581338 * 0.026181);
+ vX_[9086] = 0 - vX_[9085];
+ vX_[9087] = vX_[9069] * vX_[395] + vX_[9079] * vX_[398];
+ vX_[9088] = 0 - vX_[9087];
+ vX_[9089] = vX_[9069] * vX_[397] + vX_[9079] * vX_[395];
+ vX_[9090] = 0 - vX_[9089];
+ vX_[9091] = 0 - vX_[9085];
+ vX_[9092] = 0 - vX_[9087];
+ vX_[9093] = 0 - vX_[9089];
+ vX_[9094] = vX_[9091] * vX_[1734] + vX_[9092] * vX_[1739] + vX_[9093] * vX_[1743];
+ vX_[9095] = 0 - vX_[9087];
+ vX_[9096] = 0 - vX_[9089];
+ vX_[9097] = vX_[9095] * vX_[1749] + vX_[9096] * vX_[1753];
+ vX_[9098] = 0 - vX_[9097];
+ vX_[9099] = vX_[9071] * vX_[391] + vX_[9082] * vX_[1705] + vX_[9084] * vX_[1710] + vX_[9086] * vX_[1714] +
+ vX_[9088] * vX_[1723] + vX_[9090] * vX_[1732] + vX_[9094] * vX_[1747] + vX_[9098] * vX_[1761];
+ vX_[9100] = vX_[9099] * vX_[1887];
+ vX_[9101] = 0 - vX_[9081];
+ vX_[9102] = 0 - vX_[9083];
+ vX_[9103] = 0 - vX_[9085];
+ vX_[9104] = 0 - vX_[9087];
+ vX_[9105] = 0 - vX_[9089];
+ vX_[9106] = 0 - vX_[9094];
+ vX_[9107] = 0 - vX_[9085];
+ vX_[9108] = 0 - vX_[9087];
+ vX_[9109] = 0 - vX_[9089];
+ vX_[9110] = vX_[9107] * vX_[391] + vX_[9108] * vX_[1704] + vX_[9109] * vX_[1708];
+ vX_[9111] = vX_[9101] * vX_[1749] + vX_[9102] * vX_[1752] + vX_[9103] * vX_[1893] + vX_[9104] * vX_[1899] +
+ vX_[9105] * vX_[1904] + vX_[9106] * vX_[1911] + vX_[9110] * vX_[1761];
+ vX_[9112] = vX_[9111] * vX_[1923];
+ vX_[9113] = 0 - vX_[9100] - vX_[9112];
+ vX_[9114] = vX_[9099] * vX_[1919];
+ vX_[9115] = 0 - vX_[9070];
+ vX_[9116] = 0 - vX_[9081];
+ vX_[9117] = 0 - vX_[9083];
+ vX_[9118] = 0 - vX_[9085];
+ vX_[9119] = 0 - vX_[9087];
+ vX_[9120] = 0 - vX_[9089];
+ vX_[9121] = 0 - vX_[9110];
+ vX_[9122] = vX_[9115] * vX_[1940] + vX_[9116] * vX_[1737] + vX_[9117] * vX_[1742] + vX_[9118] * vX_[1947] +
+ vX_[9119] * vX_[1955] + vX_[9120] * vX_[1963] + vX_[9121] * vX_[1747] + vX_[9097] * vX_[1911];
+ vX_[9123] = vX_[9122] * vX_[1887];
+ vX_[9124] = vX_[9114] + vX_[9123];
+ vX_[9125] = vX_[9111] * vX_[1919];
+ vX_[9126] = vX_[9122] * vX_[1923];
+ vX_[9127] = vX_[9125] + vX_[9126];
+ vX_[9128] = vX_[9111] * vX_[1887];
+ vX_[9129] = vX_[9099] * vX_[1923];
+ vX_[9130] = vX_[9128] - vX_[9129];
+ vX_[9113] = vX_[9113] * vX_[1938] +
+ (vX_[9113] * vX_[1937] + vX_[9124] * vX_[1970] + vX_[9127] * vX_[1974] + vX_[9130] * vX_[1978]) * 2.;
+ vX_[9126] = 0 - vX_[9125] + vX_[9126];
+ vX_[9123] = vX_[9114] - vX_[9123];
+ vX_[9130] = vX_[9130] * vX_[1938] + vX_[9126] * vX_[1971] + vX_[9123] * vX_[1829];
+ vX_[9114] = 0 - vX_[9130];
+ vX_[9125] = vX_[9113] * vX_[1936] + vX_[9114] * vX_[1932];
+ vX_[1937] = vX_[9122] * vX_[1919];
+ vX_[9112] = 0 - vX_[1937] - vX_[9112];
+ vX_[9129] = vX_[9128] + vX_[9129];
+ vX_[9112] = vX_[9124] * vX_[1938] + vX_[9112] * vX_[1971] +
+ (vX_[9112] * vX_[1970] + vX_[9129] * vX_[1974] + vX_[9126] * vX_[1978]) * 2.;
+ vX_[9126] = 0 - vX_[9112];
+ vX_[1937] = 0 - vX_[1937] - vX_[9100];
+ vX_[1937] = vX_[9127] * vX_[1938] + vX_[9129] * vX_[1971] + vX_[1937] * vX_[1829] +
+ (vX_[1937] * vX_[1974] + vX_[9123] * vX_[1978]) * 2.;
+ vX_[9129] = vX_[9126] * vX_[1932] + vX_[1937] * vX_[1936];
+ vX_[9123] = vX_[9112] * vX_[1936] + vX_[1937] * vX_[1932];
+ vX_[1936] = vX_[9113] * vX_[1932] + vX_[9130] * vX_[1936];
+ vX_[1932] = vX_[8930] * vX_[1982] + vX_[8907] * vX_[1985] + vX_[8919] * vX_[1988];
+ vX_[9127] = vX_[1932] * vX_[950] * -1000.;
+ vX_[1829] = vX_[9127] * vX_[872];
+ vX_[1971] = vX_[8930] * vX_[1994] + vX_[8907] * vX_[1987] + vX_[8919] * vX_[1983];
+ vX_[1978] = vX_[1971] * vX_[950] * -1000.;
+ vX_[1974] = vX_[1978] * vX_[891];
+ vX_[1938] = 0 - vX_[1829] - vX_[1974];
+ vX_[8930] = vX_[8930] * vX_[1986] + vX_[8907] * vX_[1975] + vX_[8919] * vX_[1993];
+ vX_[8919] = vX_[8930] * vX_[950] * -1000.;
+ vX_[8907] = vX_[8919] * vX_[872];
+ vX_[9100] = vX_[9127] * vX_[909];
+ vX_[9124] = vX_[8907] + vX_[9100];
+ vX_[1970] = vX_[8919] * vX_[891];
+ vX_[9128] = vX_[1978] * vX_[909];
+ vX_[9131] = vX_[1970] + vX_[9128];
+ vX_[891] = vX_[9127] * vX_[891];
+ vX_[872] = vX_[1978] * vX_[872];
+ vX_[9132] = vX_[891] - vX_[872];
+ vX_[1938] = vX_[1938] * vX_[838] +
+ (vX_[1938] * vX_[837] + vX_[9124] * vX_[873] + vX_[9131] * vX_[842] + vX_[9132] * vX_[876]) * 2.;
+ vX_[9128] = 0 - vX_[1970] + vX_[9128];
+ vX_[9100] = vX_[8907] - vX_[9100];
+ vX_[9132] = vX_[9132] * vX_[838] + vX_[9128] * vX_[874] + vX_[9100] * vX_[843];
+ vX_[8907] = 0 - vX_[9132];
+ vX_[1970] = vX_[1938] * vX_[836] + vX_[8907] * vX_[832];
+ vX_[909] = vX_[8919] * vX_[909];
+ vX_[1974] = 0 - vX_[909] - vX_[1974];
+ vX_[872] = vX_[891] + vX_[872];
+ vX_[1974] = vX_[9124] * vX_[838] + vX_[1974] * vX_[874] +
+ (vX_[1974] * vX_[873] + vX_[872] * vX_[842] + vX_[9128] * vX_[876]) * 2.;
+ vX_[9128] = 0 - vX_[1974];
+ vX_[909] = 0 - vX_[909] - vX_[1829];
+ vX_[909] = vX_[9131] * vX_[838] + vX_[872] * vX_[874] + vX_[909] * vX_[843] +
+ (vX_[909] * vX_[842] + vX_[9100] * vX_[876]) * 2.;
+ vX_[872] = vX_[9128] * vX_[832] + vX_[909] * vX_[836];
+ vX_[9100] = vX_[1974] * vX_[836] + vX_[909] * vX_[832];
+ vX_[836] = vX_[1938] * vX_[832] + vX_[9132] * vX_[836];
+ vX_[8930] = vX_[8930] * 5000. * vX_[947] * -100. +
+ (0 - (vX_[8930] * vX_[844] + vX_[1932] * vX_[910] + vX_[1971] * vX_[987]) * 1 / vX_[949] * vX_[950]) *
+ vX_[948] * 100.;
+ vX_[935] = vX_[8930] * vX_[935];
+ vX_[939] = vX_[8930] * vX_[939];
+ vX_[1971] = (vX_[935] * vX_[925] + vX_[939] * vX_[926]) * 2.;
+ vX_[1932] = 0 - vX_[939];
+ vX_[947] = vX_[1932] * vX_[936] + vX_[935] * vX_[927];
+ vX_[844] = 0 - vX_[947];
+ vX_[987] = vX_[1971] * vX_[921] + vX_[844] * vX_[917];
+ vX_[946] = vX_[8930] * vX_[946];
+ vX_[950] = 0 - vX_[946];
+ vX_[950] = vX_[935] * vX_[922] + vX_[950] * vX_[936] + (vX_[950] * vX_[925] + vX_[1932] * vX_[928]) * 2.;
+ vX_[1932] = 0 - vX_[950];
+ vX_[946] = 0 - vX_[946];
+ vX_[946] = vX_[939] * vX_[922] + vX_[946] * vX_[927] + (vX_[946] * vX_[926] + vX_[935] * vX_[928]) * 2.;
+ vX_[939] = vX_[1932] * vX_[917] + vX_[946] * vX_[921];
+ vX_[935] = vX_[950] * vX_[921] + vX_[946] * vX_[917];
+ vX_[921] = vX_[1971] * vX_[917] + vX_[947] * vX_[921];
+ vX_[917] = vX_[8994] * vX_[2014] + vX_[8971] * vX_[2017] + vX_[8983] * vX_[2020];
+ vX_[928] = vX_[917] * vX_[1261] * -1000.;
+ vX_[927] = vX_[928] * vX_[1189];
+ vX_[926] = vX_[8994] * vX_[2026] + vX_[8971] * vX_[2019] + vX_[8983] * vX_[2015];
+ vX_[922] = vX_[926] * vX_[1261] * -1000.;
+ vX_[936] = vX_[922] * vX_[1207];
+ vX_[925] = 0 - vX_[927] - vX_[936];
+ vX_[8994] = vX_[8994] * vX_[2018] + vX_[8971] * vX_[2013] + vX_[8983] * vX_[2025];
+ vX_[8983] = vX_[8994] * vX_[1261] * -1000.;
+ vX_[8971] = vX_[8983] * vX_[1189];
+ vX_[949] = vX_[928] * vX_[1226];
+ vX_[948] = vX_[8971] + vX_[949];
+ vX_[910] = vX_[8983] * vX_[1207];
+ vX_[832] = vX_[922] * vX_[1226];
+ vX_[9131] = vX_[910] + vX_[832];
+ vX_[1207] = vX_[928] * vX_[1207];
+ vX_[1189] = vX_[922] * vX_[1189];
+ vX_[876] = vX_[1207] - vX_[1189];
+ vX_[925] = vX_[925] * vX_[1152] +
+ (vX_[925] * vX_[1151] + vX_[948] * vX_[1190] + vX_[9131] * vX_[1156] + vX_[876] * vX_[1193]) * 2.;
+ vX_[832] = 0 - vX_[910] + vX_[832];
+ vX_[949] = vX_[8971] - vX_[949];
+ vX_[876] = vX_[876] * vX_[1152] + vX_[832] * vX_[1191] + vX_[949] * vX_[1157];
+ vX_[8971] = 0 - vX_[876];
+ vX_[910] = vX_[925] * vX_[1150] + vX_[8971] * vX_[1146];
+ vX_[1226] = vX_[8983] * vX_[1226];
+ vX_[936] = 0 - vX_[1226] - vX_[936];
+ vX_[1189] = vX_[1207] + vX_[1189];
+ vX_[936] = vX_[948] * vX_[1152] + vX_[936] * vX_[1191] +
+ (vX_[936] * vX_[1190] + vX_[1189] * vX_[1156] + vX_[832] * vX_[1193]) * 2.;
+ vX_[832] = 0 - vX_[936];
+ vX_[1226] = 0 - vX_[1226] - vX_[927];
+ vX_[1226] = vX_[9131] * vX_[1152] + vX_[1189] * vX_[1191] + vX_[1226] * vX_[1157] +
+ (vX_[1226] * vX_[1156] + vX_[949] * vX_[1193]) * 2.;
+ vX_[1189] = vX_[832] * vX_[1146] + vX_[1226] * vX_[1150];
+ vX_[949] = vX_[936] * vX_[1150] + vX_[1226] * vX_[1146];
+ vX_[1150] = vX_[925] * vX_[1146] + vX_[876] * vX_[1150];
+ vX_[8994] =
+ vX_[8994] * 5000. * vX_[1258] * -100. +
+ (0 - (vX_[8994] * vX_[1158] + vX_[917] * vX_[1227] + vX_[926] * vX_[1296]) * 1 / vX_[1260] * vX_[1261]) *
+ vX_[1259] * 100.;
+ vX_[1250] = vX_[8994] * vX_[1250];
+ vX_[1181] = vX_[8994] * vX_[1181];
+ vX_[926] = (vX_[1250] * vX_[1242] + vX_[1181] * vX_[1243]) * 2.;
+ vX_[917] = 0 - vX_[1181];
+ vX_[1258] = vX_[917] * vX_[1251] + vX_[1250] * vX_[1244];
+ vX_[1158] = 0 - vX_[1258];
+ vX_[1296] = vX_[926] * vX_[1238] + vX_[1158] * vX_[1234];
+ vX_[1257] = vX_[8994] * vX_[1257];
+ vX_[1261] = 0 - vX_[1257];
+ vX_[1261] = vX_[1250] * vX_[1239] + vX_[1261] * vX_[1251] + (vX_[1261] * vX_[1242] + vX_[917] * vX_[1245]) * 2.;
+ vX_[917] = 0 - vX_[1261];
+ vX_[1257] = 0 - vX_[1257];
+ vX_[1257] = vX_[1181] * vX_[1239] + vX_[1257] * vX_[1244] + (vX_[1257] * vX_[1243] + vX_[1250] * vX_[1245]) * 2.;
+ vX_[1181] = vX_[917] * vX_[1234] + vX_[1257] * vX_[1238];
+ vX_[1250] = vX_[1261] * vX_[1238] + vX_[1257] * vX_[1234];
+ vX_[1238] = vX_[926] * vX_[1234] + vX_[1258] * vX_[1238];
+ vX_[1234] = vX_[9058] * vX_[2046] + vX_[9035] * vX_[2049] + vX_[9047] * vX_[2052];
+ vX_[1245] = vX_[1234] * vX_[1573] * -1000.;
+ vX_[1244] = vX_[1245] * vX_[1499];
+ vX_[1243] = vX_[9058] * vX_[2058] + vX_[9035] * vX_[2051] + vX_[9047] * vX_[2047];
+ vX_[1239] = vX_[1243] * vX_[1573] * -1000.;
+ vX_[1251] = vX_[1239] * vX_[1518];
+ vX_[1242] = 0 - vX_[1244] - vX_[1251];
+ vX_[9058] = vX_[9058] * vX_[2050] + vX_[9035] * vX_[2045] + vX_[9047] * vX_[2057];
+ vX_[9047] = vX_[9058] * vX_[1573] * -1000.;
+ vX_[9035] = vX_[9047] * vX_[1499];
+ vX_[1260] = vX_[1245] * vX_[1536];
+ vX_[1259] = vX_[9035] + vX_[1260];
+ vX_[1227] = vX_[9047] * vX_[1518];
+ vX_[1146] = vX_[1239] * vX_[1536];
+ vX_[9131] = vX_[1227] + vX_[1146];
+ vX_[1518] = vX_[1245] * vX_[1518];
+ vX_[1499] = vX_[1239] * vX_[1499];
+ vX_[1193] = vX_[1518] - vX_[1499];
+ vX_[1242] = vX_[1242] * vX_[1463] +
+ (vX_[1242] * vX_[1462] + vX_[1259] * vX_[1500] + vX_[9131] * vX_[1467] + vX_[1193] * vX_[1503]) * 2.;
+ vX_[1146] = 0 - vX_[1227] + vX_[1146];
+ vX_[1260] = vX_[9035] - vX_[1260];
+ vX_[1193] = vX_[1193] * vX_[1463] + vX_[1146] * vX_[1501] + vX_[1260] * vX_[1468];
+ vX_[9035] = 0 - vX_[1193];
+ vX_[1227] = vX_[1242] * vX_[1461] + vX_[9035] * vX_[1457];
+ vX_[1536] = vX_[9047] * vX_[1536];
+ vX_[1251] = 0 - vX_[1536] - vX_[1251];
+ vX_[1499] = vX_[1518] + vX_[1499];
+ vX_[1251] = vX_[1259] * vX_[1463] + vX_[1251] * vX_[1501] +
+ (vX_[1251] * vX_[1500] + vX_[1499] * vX_[1467] + vX_[1146] * vX_[1503]) * 2.;
+ vX_[1146] = 0 - vX_[1251];
+ vX_[1536] = 0 - vX_[1536] - vX_[1244];
+ vX_[1536] = vX_[9131] * vX_[1463] + vX_[1499] * vX_[1501] + vX_[1536] * vX_[1468] +
+ (vX_[1536] * vX_[1467] + vX_[1260] * vX_[1503]) * 2.;
+ vX_[1499] = vX_[1146] * vX_[1457] + vX_[1536] * vX_[1461];
+ vX_[1260] = vX_[1251] * vX_[1461] + vX_[1536] * vX_[1457];
+ vX_[1461] = vX_[1242] * vX_[1457] + vX_[1193] * vX_[1461];
+ vX_[9058] =
+ vX_[9058] * 5000. * vX_[1570] * -100. +
+ (0 - (vX_[9058] * vX_[1469] + vX_[1234] * vX_[1537] + vX_[1243] * vX_[1608]) * 1 / vX_[1572] * vX_[1573]) *
+ vX_[1571] * 100.;
+ vX_[1560] = vX_[9058] * vX_[1560];
+ vX_[1491] = vX_[9058] * vX_[1491];
+ vX_[1243] = (vX_[1560] * vX_[1552] + vX_[1491] * vX_[1553]) * 2.;
+ vX_[1234] = 0 - vX_[1491];
+ vX_[1570] = vX_[1234] * vX_[1561] + vX_[1560] * vX_[1554];
+ vX_[1469] = 0 - vX_[1570];
+ vX_[1608] = vX_[1243] * vX_[1548] + vX_[1469] * vX_[1544];
+ vX_[1569] = vX_[9058] * vX_[1569];
+ vX_[1573] = 0 - vX_[1569];
+ vX_[1573] = vX_[1560] * vX_[1549] + vX_[1573] * vX_[1561] + (vX_[1573] * vX_[1552] + vX_[1234] * vX_[1555]) * 2.;
+ vX_[1234] = 0 - vX_[1573];
+ vX_[1569] = 0 - vX_[1569];
+ vX_[1569] = vX_[1491] * vX_[1549] + vX_[1569] * vX_[1554] + (vX_[1569] * vX_[1553] + vX_[1560] * vX_[1555]) * 2.;
+ vX_[1491] = vX_[1234] * vX_[1544] + vX_[1569] * vX_[1548];
+ vX_[1560] = vX_[1573] * vX_[1548] + vX_[1569] * vX_[1544];
+ vX_[1548] = vX_[1243] * vX_[1544] + vX_[1570] * vX_[1548];
+ vX_[1544] = vX_[9122] * vX_[2078] + vX_[9099] * vX_[2081] + vX_[9111] * vX_[2084];
+ vX_[1555] = vX_[1544] * vX_[1886] * -1000.;
+ vX_[1554] = vX_[1555] * vX_[1809];
+ vX_[1553] = vX_[9122] * vX_[2090] + vX_[9099] * vX_[2083] + vX_[9111] * vX_[2079];
+ vX_[1549] = vX_[1553] * vX_[1886] * -1000.;
+ vX_[1561] = vX_[1549] * vX_[1828];
+ vX_[1552] = 0 - vX_[1554] - vX_[1561];
+ vX_[9122] = vX_[9122] * vX_[2082] + vX_[9099] * vX_[2077] + vX_[9111] * vX_[2089];
+ vX_[9111] = vX_[9122] * vX_[1886] * -1000.;
+ vX_[9099] = vX_[9111] * vX_[1809];
+ vX_[1572] = vX_[1555] * vX_[1846];
+ vX_[1571] = vX_[9099] + vX_[1572];
+ vX_[1537] = vX_[9111] * vX_[1828];
+ vX_[1457] = vX_[1549] * vX_[1846];
+ vX_[9131] = vX_[1537] + vX_[1457];
+ vX_[1828] = vX_[1555] * vX_[1828];
+ vX_[1809] = vX_[1549] * vX_[1809];
+ vX_[1503] = vX_[1828] - vX_[1809];
+ vX_[1552] = vX_[1552] * vX_[1775] +
+ (vX_[1552] * vX_[1774] + vX_[1571] * vX_[1810] + vX_[9131] * vX_[1779] + vX_[1503] * vX_[1813]) * 2.;
+ vX_[1457] = 0 - vX_[1537] + vX_[1457];
+ vX_[1572] = vX_[9099] - vX_[1572];
+ vX_[1503] = vX_[1503] * vX_[1775] + vX_[1457] * vX_[1811] + vX_[1572] * vX_[1780];
+ vX_[9099] = 0 - vX_[1503];
+ vX_[1537] = vX_[1552] * vX_[1773] + vX_[9099] * vX_[1769];
+ vX_[1846] = vX_[9111] * vX_[1846];
+ vX_[1561] = 0 - vX_[1846] - vX_[1561];
+ vX_[1809] = vX_[1828] + vX_[1809];
+ vX_[1561] = vX_[1571] * vX_[1775] + vX_[1561] * vX_[1811] +
+ (vX_[1561] * vX_[1810] + vX_[1809] * vX_[1779] + vX_[1457] * vX_[1813]) * 2.;
+ vX_[1457] = 0 - vX_[1561];
+ vX_[1846] = 0 - vX_[1846] - vX_[1554];
+ vX_[1846] = vX_[9131] * vX_[1775] + vX_[1809] * vX_[1811] + vX_[1846] * vX_[1780] +
+ (vX_[1846] * vX_[1779] + vX_[1572] * vX_[1813]) * 2.;
+ vX_[1809] = vX_[1457] * vX_[1769] + vX_[1846] * vX_[1773];
+ vX_[1572] = vX_[1561] * vX_[1773] + vX_[1846] * vX_[1769];
+ vX_[1773] = vX_[1552] * vX_[1769] + vX_[1503] * vX_[1773];
+ vX_[9122] =
+ vX_[9122] * 5000. * vX_[1883] * -100. +
+ (0 - (vX_[9122] * vX_[1781] + vX_[1544] * vX_[1847] + vX_[1553] * vX_[1922]) * 1 / vX_[1885] * vX_[1886]) *
+ vX_[1884] * 100.;
+ jac[215] = vX_[8930] + vX_[8994] + vX_[9058] + vX_[9122];
+ vX_[1870] = vX_[9122] * vX_[1870];
+ vX_[1875] = vX_[9122] * vX_[1875];
+ vX_[1553] = (vX_[1870] * vX_[1862] + vX_[1875] * vX_[1863]) * 2.;
+ vX_[1544] = 0 - vX_[1875];
+ vX_[1883] = vX_[1544] * vX_[1871] + vX_[1870] * vX_[1864];
+ vX_[1781] = 0 - vX_[1883];
+ vX_[1922] = vX_[1553] * vX_[1858] + vX_[1781] * vX_[1854];
+ vX_[1882] = vX_[9122] * vX_[1882];
+ vX_[1886] = 0 - vX_[1882];
+ vX_[1886] = vX_[1870] * vX_[1859] + vX_[1886] * vX_[1871] + (vX_[1886] * vX_[1862] + vX_[1544] * vX_[1865]) * 2.;
+ vX_[1544] = 0 - vX_[1886];
+ vX_[1882] = 0 - vX_[1882];
+ vX_[1882] = vX_[1875] * vX_[1859] + vX_[1882] * vX_[1864] + (vX_[1882] * vX_[1863] + vX_[1870] * vX_[1865]) * 2.;
+ vX_[1875] = vX_[1544] * vX_[1854] + vX_[1882] * vX_[1858];
+ vX_[1870] = vX_[1886] * vX_[1858] + vX_[1882] * vX_[1854];
+ vX_[1858] = vX_[1553] * vX_[1854] + vX_[1883] * vX_[1858];
+ jac[35] = ((vX_[8933] * vX_[999] + vX_[8937] * vX_[994]) * vX_[1029] -
+ (vX_[8931] * vX_[999] + vX_[1001] * vX_[994]) * vX_[991]) *
+ 0.5 +
+ ((vX_[8997] * vX_[1308] + vX_[9001] * vX_[1303]) * vX_[1340] -
+ (vX_[8995] * vX_[1308] + vX_[1310] * vX_[1303]) * vX_[1300]) *
+ 0.5 +
+ ((vX_[9061] * vX_[1620] + vX_[9065] * vX_[1615]) * vX_[1650] -
+ (vX_[9059] * vX_[1620] + vX_[1622] * vX_[1615]) * vX_[1612]) *
+ 0.5 +
+ ((vX_[9125] * vX_[1934] + vX_[9129] * vX_[1929]) * vX_[1966] -
+ (vX_[9123] * vX_[1934] + vX_[1936] * vX_[1929]) * vX_[1926]) *
+ 0.5 +
+ ((vX_[1970] * vX_[834] + vX_[872] * vX_[829]) * vX_[1992] -
+ (vX_[9100] * vX_[834] + vX_[836] * vX_[829]) * vX_[826]) *
+ 0.5 +
+ ((vX_[987] * vX_[919] + vX_[939] * vX_[914]) * vX_[1995] -
+ (vX_[935] * vX_[919] + vX_[921] * vX_[914]) * vX_[911]) *
+ 0.5 +
+ ((vX_[910] * vX_[1148] + vX_[1189] * vX_[1143]) * vX_[2024] -
+ (vX_[949] * vX_[1148] + vX_[1150] * vX_[1143]) * vX_[1140]) *
+ 0.5 +
+ ((vX_[1296] * vX_[1236] + vX_[1181] * vX_[1231]) * vX_[2027] -
+ (vX_[1250] * vX_[1236] + vX_[1238] * vX_[1231]) * vX_[1228]) *
+ 0.5 +
+ ((vX_[1227] * vX_[1459] + vX_[1499] * vX_[1454]) * vX_[2056] -
+ (vX_[1260] * vX_[1459] + vX_[1461] * vX_[1454]) * vX_[1451]) *
+ 0.5 +
+ ((vX_[1608] * vX_[1546] + vX_[1491] * vX_[1541]) * vX_[2059] -
+ (vX_[1560] * vX_[1546] + vX_[1548] * vX_[1541]) * vX_[1538]) *
+ 0.5 +
+ ((vX_[1537] * vX_[1771] + vX_[1809] * vX_[1766]) * vX_[2088] -
+ (vX_[1572] * vX_[1771] + vX_[1773] * vX_[1766]) * vX_[1763]) *
+ 0.5 +
+ ((vX_[1922] * vX_[1856] + vX_[1875] * vX_[1851]) * vX_[2091] -
+ (vX_[1870] * vX_[1856] + vX_[1858] * vX_[1851]) * vX_[1848]) *
+ 0.5;
+ vX_[1848] = cos(x_in[1]);
+ vX_[2091] = 1 / vX_[1848];
+ jac[648] = vX_[2091] * jac[685];
+ vX_[1763] = sin(x_in[1]);
+ jac[36] = 0 - (0 - (0 - x_in[19] * jac[649] + x_in[18] * jac[685]) * 1 / vX_[1848] * vX_[2091]) * vX_[1763];
+ vX_[2088] = vX_[2091] * jac[649];
+ vX_[1538] = 0 - vX_[2091];
+ jac[684] = vX_[1538] * jac[649];
+ vX_[2059] = vX_[1538] * jac[685];
+ vX_[1451] = sin(x_in[1]);
+ jac[650] = vX_[2059] * vX_[1451];
+ jac[686] = vX_[2088] * vX_[1451];
+ vX_[2056] = x_in[19] * vX_[1451];
+ vX_[1451] = x_in[18] * vX_[1451];
+ jac[38] = (x_in[19] * vX_[2088] + x_in[18] * vX_[2059]) * cos(x_in[1]) -
+ (0 - (vX_[2056] * jac[649] - vX_[1451] * jac[685]) * 1 / vX_[1848] * vX_[2091]) * vX_[1763];
+ vX_[2059] = cos(vX_[3]);
+ vX_[3] = sin(vX_[3]);
+ jac[39] =
+ ((vX_[22] * vX_[8] + vX_[28] * vX_[2]) * vX_[2059] - (vX_[26] * vX_[8] + vX_[29] * vX_[2]) * vX_[3]) * 0.5;
+ jac[40] =
+ ((vX_[35] * vX_[8] + vX_[39] * vX_[2]) * vX_[2059] - (vX_[31] * vX_[8] + vX_[40] * vX_[2]) * vX_[3]) * 0.5;
+ jac[41] =
+ ((vX_[45] * vX_[8] + vX_[49] * vX_[2]) * vX_[2059] - (vX_[48] * vX_[8] + vX_[11] * vX_[2]) * vX_[3]) * 0.5;
+ vX_[3] = cos(vX_[993]);
+ vX_[993] = sin(vX_[993]);
+ vX_[2059] = cos(vX_[1302]);
+ vX_[1302] = sin(vX_[1302]);
+ vX_[11] = cos(vX_[1614]);
+ vX_[1614] = sin(vX_[1614]);
+ vX_[49] = cos(vX_[1928]);
+ vX_[1928] = sin(vX_[1928]);
+ vX_[48] = cos(vX_[828]);
+ vX_[828] = sin(vX_[828]);
+ vX_[45] = cos(vX_[913]);
+ vX_[913] = sin(vX_[913]);
+ vX_[8] = cos(vX_[1142]);
+ vX_[1142] = sin(vX_[1142]);
+ vX_[2] = cos(vX_[1230]);
+ vX_[1230] = sin(vX_[1230]);
+ vX_[40] = cos(vX_[1453]);
+ vX_[1453] = sin(vX_[1453]);
+ vX_[39] = cos(vX_[1540]);
+ vX_[1540] = sin(vX_[1540]);
+ vX_[31] = cos(vX_[1765]);
+ vX_[1765] = sin(vX_[1765]);
+ vX_[35] = cos(vX_[1850]);
+ vX_[1850] = sin(vX_[1850]);
+ jac[54] = ((vX_[1043] * vX_[998] + vX_[1036] * vX_[992]) * vX_[3] -
+ (vX_[1039] * vX_[998] + vX_[952] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[1354] * vX_[1307] + vX_[1347] * vX_[1301]) * vX_[2059] -
+ (vX_[1350] * vX_[1307] + vX_[1263] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[1664] * vX_[1619] + vX_[1657] * vX_[1613]) * vX_[11] -
+ (vX_[1660] * vX_[1619] + vX_[1575] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[1980] * vX_[1933] + vX_[1973] * vX_[1927]) * vX_[49] -
+ (vX_[1976] * vX_[1933] + vX_[1888] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[1984] * vX_[833] + vX_[2000] * vX_[827]) * vX_[48] -
+ (vX_[2002] * vX_[833] + vX_[1991] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[2007] * vX_[918] + vX_[2010] * vX_[912]) * vX_[45] -
+ (vX_[1989] * vX_[918] + vX_[2011] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[2016] * vX_[1147] + vX_[2032] * vX_[1141]) * vX_[8] -
+ (vX_[2034] * vX_[1147] + vX_[2023] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[2039] * vX_[1235] + vX_[2042] * vX_[1229]) * vX_[2] -
+ (vX_[2021] * vX_[1235] + vX_[2043] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[2048] * vX_[1458] + vX_[2064] * vX_[1452]) * vX_[40] -
+ (vX_[2066] * vX_[1458] + vX_[2055] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[2071] * vX_[1545] + vX_[2074] * vX_[1539]) * vX_[39] -
+ (vX_[2053] * vX_[1545] + vX_[2075] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[2080] * vX_[1770] + vX_[2096] * vX_[1764]) * vX_[31] -
+ (vX_[2098] * vX_[1770] + vX_[2087] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[2103] * vX_[1855] + vX_[2106] * vX_[1849]) * vX_[35] -
+ (vX_[2085] * vX_[1855] + vX_[2107] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[55] = ((vX_[2204] * vX_[998] + vX_[2202] * vX_[992]) * vX_[3] -
+ (vX_[2208] * vX_[998] + vX_[2206] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[2277] * vX_[1307] + vX_[2275] * vX_[1301]) * vX_[2059] -
+ (vX_[2281] * vX_[1307] + vX_[2279] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[2350] * vX_[1619] + vX_[2348] * vX_[1613]) * vX_[11] -
+ (vX_[2354] * vX_[1619] + vX_[2352] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[2423] * vX_[1933] + vX_[2421] * vX_[1927]) * vX_[49] -
+ (vX_[2427] * vX_[1933] + vX_[2425] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[2436] * vX_[833] + vX_[2434] * vX_[827]) * vX_[48] -
+ (vX_[2440] * vX_[833] + vX_[2438] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[2444] * vX_[918] + vX_[2430] * vX_[912]) * vX_[45] -
+ (vX_[2398] * vX_[918] + vX_[2447] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[2457] * vX_[1147] + vX_[2455] * vX_[1141]) * vX_[8] -
+ (vX_[2461] * vX_[1147] + vX_[2459] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[2465] * vX_[1235] + vX_[2451] * vX_[1229]) * vX_[2] -
+ (vX_[2448] * vX_[1235] + vX_[2468] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[2478] * vX_[1458] + vX_[2476] * vX_[1452]) * vX_[40] -
+ (vX_[2482] * vX_[1458] + vX_[2480] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[2486] * vX_[1545] + vX_[2472] * vX_[1539]) * vX_[39] -
+ (vX_[2469] * vX_[1545] + vX_[2489] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[2499] * vX_[1770] + vX_[2497] * vX_[1764]) * vX_[31] -
+ (vX_[2503] * vX_[1770] + vX_[2501] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[2507] * vX_[1855] + vX_[2493] * vX_[1849]) * vX_[35] -
+ (vX_[2490] * vX_[1855] + vX_[2510] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[56] = ((vX_[2604] * vX_[998] + vX_[2602] * vX_[992]) * vX_[3] -
+ (vX_[2608] * vX_[998] + vX_[2606] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[2677] * vX_[1307] + vX_[2675] * vX_[1301]) * vX_[2059] -
+ (vX_[2681] * vX_[1307] + vX_[2679] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[2750] * vX_[1619] + vX_[2748] * vX_[1613]) * vX_[11] -
+ (vX_[2754] * vX_[1619] + vX_[2752] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[2823] * vX_[1933] + vX_[2821] * vX_[1927]) * vX_[49] -
+ (vX_[2827] * vX_[1933] + vX_[2825] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[2836] * vX_[833] + vX_[2834] * vX_[827]) * vX_[48] -
+ (vX_[2840] * vX_[833] + vX_[2838] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[2844] * vX_[918] + vX_[2830] * vX_[912]) * vX_[45] -
+ (vX_[2798] * vX_[918] + vX_[2847] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[2857] * vX_[1147] + vX_[2855] * vX_[1141]) * vX_[8] -
+ (vX_[2861] * vX_[1147] + vX_[2859] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[2865] * vX_[1235] + vX_[2851] * vX_[1229]) * vX_[2] -
+ (vX_[2848] * vX_[1235] + vX_[2868] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[2878] * vX_[1458] + vX_[2876] * vX_[1452]) * vX_[40] -
+ (vX_[2882] * vX_[1458] + vX_[2880] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[2886] * vX_[1545] + vX_[2872] * vX_[1539]) * vX_[39] -
+ (vX_[2869] * vX_[1545] + vX_[2889] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[2899] * vX_[1770] + vX_[2897] * vX_[1764]) * vX_[31] -
+ (vX_[2903] * vX_[1770] + vX_[2901] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[2907] * vX_[1855] + vX_[2893] * vX_[1849]) * vX_[35] -
+ (vX_[2890] * vX_[1855] + vX_[2910] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[60] = ((vX_[4248] * vX_[998] + vX_[4246] * vX_[992]) * vX_[3] -
+ (vX_[4252] * vX_[998] + vX_[4250] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[4321] * vX_[1307] + vX_[4319] * vX_[1301]) * vX_[2059] -
+ (vX_[4325] * vX_[1307] + vX_[4323] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[4394] * vX_[1619] + vX_[4392] * vX_[1613]) * vX_[11] -
+ (vX_[4398] * vX_[1619] + vX_[4396] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[4467] * vX_[1933] + vX_[4465] * vX_[1927]) * vX_[49] -
+ (vX_[4471] * vX_[1933] + vX_[4469] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[4480] * vX_[833] + vX_[4478] * vX_[827]) * vX_[48] -
+ (vX_[4484] * vX_[833] + vX_[4482] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[4488] * vX_[918] + vX_[4474] * vX_[912]) * vX_[45] -
+ (vX_[4442] * vX_[918] + vX_[4491] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[4501] * vX_[1147] + vX_[4499] * vX_[1141]) * vX_[8] -
+ (vX_[4505] * vX_[1147] + vX_[4503] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[4509] * vX_[1235] + vX_[4495] * vX_[1229]) * vX_[2] -
+ (vX_[4492] * vX_[1235] + vX_[4512] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[4522] * vX_[1458] + vX_[4520] * vX_[1452]) * vX_[40] -
+ (vX_[4526] * vX_[1458] + vX_[4524] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[4530] * vX_[1545] + vX_[4516] * vX_[1539]) * vX_[39] -
+ (vX_[4513] * vX_[1545] + vX_[4533] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[4543] * vX_[1770] + vX_[4541] * vX_[1764]) * vX_[31] -
+ (vX_[4547] * vX_[1770] + vX_[4545] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[4551] * vX_[1855] + vX_[4537] * vX_[1849]) * vX_[35] -
+ (vX_[4534] * vX_[1855] + vX_[4554] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[61] = ((vX_[4677] * vX_[998] + vX_[4675] * vX_[992]) * vX_[3] -
+ (vX_[4681] * vX_[998] + vX_[4679] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[4750] * vX_[1307] + vX_[4748] * vX_[1301]) * vX_[2059] -
+ (vX_[4754] * vX_[1307] + vX_[4752] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[4823] * vX_[1619] + vX_[4821] * vX_[1613]) * vX_[11] -
+ (vX_[4827] * vX_[1619] + vX_[4825] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[4896] * vX_[1933] + vX_[4894] * vX_[1927]) * vX_[49] -
+ (vX_[4900] * vX_[1933] + vX_[4898] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[4909] * vX_[833] + vX_[4907] * vX_[827]) * vX_[48] -
+ (vX_[4913] * vX_[833] + vX_[4911] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[4917] * vX_[918] + vX_[4903] * vX_[912]) * vX_[45] -
+ (vX_[4871] * vX_[918] + vX_[4920] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[4930] * vX_[1147] + vX_[4928] * vX_[1141]) * vX_[8] -
+ (vX_[4934] * vX_[1147] + vX_[4932] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[4938] * vX_[1235] + vX_[4924] * vX_[1229]) * vX_[2] -
+ (vX_[4921] * vX_[1235] + vX_[4941] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[4951] * vX_[1458] + vX_[4949] * vX_[1452]) * vX_[40] -
+ (vX_[4955] * vX_[1458] + vX_[4953] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[4959] * vX_[1545] + vX_[4945] * vX_[1539]) * vX_[39] -
+ (vX_[4942] * vX_[1545] + vX_[4962] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[4972] * vX_[1770] + vX_[4970] * vX_[1764]) * vX_[31] -
+ (vX_[4976] * vX_[1770] + vX_[4974] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[4980] * vX_[1855] + vX_[4966] * vX_[1849]) * vX_[35] -
+ (vX_[4963] * vX_[1855] + vX_[4983] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[62] = ((vX_[5106] * vX_[998] + vX_[5104] * vX_[992]) * vX_[3] -
+ (vX_[5110] * vX_[998] + vX_[5108] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[5179] * vX_[1307] + vX_[5177] * vX_[1301]) * vX_[2059] -
+ (vX_[5183] * vX_[1307] + vX_[5181] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[5252] * vX_[1619] + vX_[5250] * vX_[1613]) * vX_[11] -
+ (vX_[5256] * vX_[1619] + vX_[5254] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[5325] * vX_[1933] + vX_[5323] * vX_[1927]) * vX_[49] -
+ (vX_[5329] * vX_[1933] + vX_[5327] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[5338] * vX_[833] + vX_[5336] * vX_[827]) * vX_[48] -
+ (vX_[5342] * vX_[833] + vX_[5340] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[5346] * vX_[918] + vX_[5332] * vX_[912]) * vX_[45] -
+ (vX_[5300] * vX_[918] + vX_[5349] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[5359] * vX_[1147] + vX_[5357] * vX_[1141]) * vX_[8] -
+ (vX_[5363] * vX_[1147] + vX_[5361] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[5367] * vX_[1235] + vX_[5353] * vX_[1229]) * vX_[2] -
+ (vX_[5350] * vX_[1235] + vX_[5370] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[5380] * vX_[1458] + vX_[5378] * vX_[1452]) * vX_[40] -
+ (vX_[5384] * vX_[1458] + vX_[5382] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[5388] * vX_[1545] + vX_[5374] * vX_[1539]) * vX_[39] -
+ (vX_[5371] * vX_[1545] + vX_[5391] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[5401] * vX_[1770] + vX_[5399] * vX_[1764]) * vX_[31] -
+ (vX_[5405] * vX_[1770] + vX_[5403] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[5409] * vX_[1855] + vX_[5395] * vX_[1849]) * vX_[35] -
+ (vX_[5392] * vX_[1855] + vX_[5412] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[63] = ((vX_[5525] * vX_[998] + vX_[5523] * vX_[992]) * vX_[3] -
+ (vX_[5529] * vX_[998] + vX_[5527] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[5598] * vX_[1307] + vX_[5596] * vX_[1301]) * vX_[2059] -
+ (vX_[5602] * vX_[1307] + vX_[5600] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[5671] * vX_[1619] + vX_[5669] * vX_[1613]) * vX_[11] -
+ (vX_[5675] * vX_[1619] + vX_[5673] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[5744] * vX_[1933] + vX_[5742] * vX_[1927]) * vX_[49] -
+ (vX_[5748] * vX_[1933] + vX_[5746] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[5757] * vX_[833] + vX_[5755] * vX_[827]) * vX_[48] -
+ (vX_[5761] * vX_[833] + vX_[5759] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[5765] * vX_[918] + vX_[5751] * vX_[912]) * vX_[45] -
+ (vX_[5719] * vX_[918] + vX_[5768] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[5778] * vX_[1147] + vX_[5776] * vX_[1141]) * vX_[8] -
+ (vX_[5782] * vX_[1147] + vX_[5780] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[5786] * vX_[1235] + vX_[5772] * vX_[1229]) * vX_[2] -
+ (vX_[5769] * vX_[1235] + vX_[5789] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[5799] * vX_[1458] + vX_[5797] * vX_[1452]) * vX_[40] -
+ (vX_[5803] * vX_[1458] + vX_[5801] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[5807] * vX_[1545] + vX_[5793] * vX_[1539]) * vX_[39] -
+ (vX_[5790] * vX_[1545] + vX_[5810] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[5820] * vX_[1770] + vX_[5818] * vX_[1764]) * vX_[31] -
+ (vX_[5824] * vX_[1770] + vX_[5822] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[5828] * vX_[1855] + vX_[5814] * vX_[1849]) * vX_[35] -
+ (vX_[5811] * vX_[1855] + vX_[5831] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[64] = ((vX_[5954] * vX_[998] + vX_[5952] * vX_[992]) * vX_[3] -
+ (vX_[5958] * vX_[998] + vX_[5956] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[6027] * vX_[1307] + vX_[6025] * vX_[1301]) * vX_[2059] -
+ (vX_[6031] * vX_[1307] + vX_[6029] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[6100] * vX_[1619] + vX_[6098] * vX_[1613]) * vX_[11] -
+ (vX_[6104] * vX_[1619] + vX_[6102] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[6173] * vX_[1933] + vX_[6171] * vX_[1927]) * vX_[49] -
+ (vX_[6177] * vX_[1933] + vX_[6175] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[6186] * vX_[833] + vX_[6184] * vX_[827]) * vX_[48] -
+ (vX_[6190] * vX_[833] + vX_[6188] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[6194] * vX_[918] + vX_[6180] * vX_[912]) * vX_[45] -
+ (vX_[6148] * vX_[918] + vX_[6197] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[6207] * vX_[1147] + vX_[6205] * vX_[1141]) * vX_[8] -
+ (vX_[6211] * vX_[1147] + vX_[6209] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[6215] * vX_[1235] + vX_[6201] * vX_[1229]) * vX_[2] -
+ (vX_[6198] * vX_[1235] + vX_[6218] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[6228] * vX_[1458] + vX_[6226] * vX_[1452]) * vX_[40] -
+ (vX_[6232] * vX_[1458] + vX_[6230] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[6236] * vX_[1545] + vX_[6222] * vX_[1539]) * vX_[39] -
+ (vX_[6219] * vX_[1545] + vX_[6239] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[6249] * vX_[1770] + vX_[6247] * vX_[1764]) * vX_[31] -
+ (vX_[6253] * vX_[1770] + vX_[6251] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[6257] * vX_[1855] + vX_[6243] * vX_[1849]) * vX_[35] -
+ (vX_[6240] * vX_[1855] + vX_[6260] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[65] = ((vX_[6383] * vX_[998] + vX_[6381] * vX_[992]) * vX_[3] -
+ (vX_[6387] * vX_[998] + vX_[6385] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[6456] * vX_[1307] + vX_[6454] * vX_[1301]) * vX_[2059] -
+ (vX_[6460] * vX_[1307] + vX_[6458] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[6529] * vX_[1619] + vX_[6527] * vX_[1613]) * vX_[11] -
+ (vX_[6533] * vX_[1619] + vX_[6531] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[6602] * vX_[1933] + vX_[6600] * vX_[1927]) * vX_[49] -
+ (vX_[6606] * vX_[1933] + vX_[6604] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[6615] * vX_[833] + vX_[6613] * vX_[827]) * vX_[48] -
+ (vX_[6619] * vX_[833] + vX_[6617] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[6623] * vX_[918] + vX_[6609] * vX_[912]) * vX_[45] -
+ (vX_[6577] * vX_[918] + vX_[6626] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[6636] * vX_[1147] + vX_[6634] * vX_[1141]) * vX_[8] -
+ (vX_[6640] * vX_[1147] + vX_[6638] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[6644] * vX_[1235] + vX_[6630] * vX_[1229]) * vX_[2] -
+ (vX_[6627] * vX_[1235] + vX_[6647] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[6657] * vX_[1458] + vX_[6655] * vX_[1452]) * vX_[40] -
+ (vX_[6661] * vX_[1458] + vX_[6659] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[6665] * vX_[1545] + vX_[6651] * vX_[1539]) * vX_[39] -
+ (vX_[6648] * vX_[1545] + vX_[6668] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[6678] * vX_[1770] + vX_[6676] * vX_[1764]) * vX_[31] -
+ (vX_[6682] * vX_[1770] + vX_[6680] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[6686] * vX_[1855] + vX_[6672] * vX_[1849]) * vX_[35] -
+ (vX_[6669] * vX_[1855] + vX_[6689] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[66] = ((vX_[6802] * vX_[998] + vX_[6800] * vX_[992]) * vX_[3] -
+ (vX_[6806] * vX_[998] + vX_[6804] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[6875] * vX_[1307] + vX_[6873] * vX_[1301]) * vX_[2059] -
+ (vX_[6879] * vX_[1307] + vX_[6877] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[6948] * vX_[1619] + vX_[6946] * vX_[1613]) * vX_[11] -
+ (vX_[6952] * vX_[1619] + vX_[6950] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[7021] * vX_[1933] + vX_[7019] * vX_[1927]) * vX_[49] -
+ (vX_[7025] * vX_[1933] + vX_[7023] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[7034] * vX_[833] + vX_[7032] * vX_[827]) * vX_[48] -
+ (vX_[7038] * vX_[833] + vX_[7036] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[7042] * vX_[918] + vX_[7028] * vX_[912]) * vX_[45] -
+ (vX_[6996] * vX_[918] + vX_[7045] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[7055] * vX_[1147] + vX_[7053] * vX_[1141]) * vX_[8] -
+ (vX_[7059] * vX_[1147] + vX_[7057] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[7063] * vX_[1235] + vX_[7049] * vX_[1229]) * vX_[2] -
+ (vX_[7046] * vX_[1235] + vX_[7066] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[7076] * vX_[1458] + vX_[7074] * vX_[1452]) * vX_[40] -
+ (vX_[7080] * vX_[1458] + vX_[7078] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[7084] * vX_[1545] + vX_[7070] * vX_[1539]) * vX_[39] -
+ (vX_[7067] * vX_[1545] + vX_[7087] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[7097] * vX_[1770] + vX_[7095] * vX_[1764]) * vX_[31] -
+ (vX_[7101] * vX_[1770] + vX_[7099] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[7105] * vX_[1855] + vX_[7091] * vX_[1849]) * vX_[35] -
+ (vX_[7088] * vX_[1855] + vX_[7108] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[67] = ((vX_[7229] * vX_[998] + vX_[7227] * vX_[992]) * vX_[3] -
+ (vX_[7233] * vX_[998] + vX_[7231] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[7302] * vX_[1307] + vX_[7300] * vX_[1301]) * vX_[2059] -
+ (vX_[7306] * vX_[1307] + vX_[7304] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[7375] * vX_[1619] + vX_[7373] * vX_[1613]) * vX_[11] -
+ (vX_[7379] * vX_[1619] + vX_[7377] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[7448] * vX_[1933] + vX_[7446] * vX_[1927]) * vX_[49] -
+ (vX_[7452] * vX_[1933] + vX_[7450] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[7461] * vX_[833] + vX_[7459] * vX_[827]) * vX_[48] -
+ (vX_[7465] * vX_[833] + vX_[7463] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[7469] * vX_[918] + vX_[7455] * vX_[912]) * vX_[45] -
+ (vX_[7423] * vX_[918] + vX_[7472] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[7482] * vX_[1147] + vX_[7480] * vX_[1141]) * vX_[8] -
+ (vX_[7486] * vX_[1147] + vX_[7484] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[7490] * vX_[1235] + vX_[7476] * vX_[1229]) * vX_[2] -
+ (vX_[7473] * vX_[1235] + vX_[7493] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[7503] * vX_[1458] + vX_[7501] * vX_[1452]) * vX_[40] -
+ (vX_[7507] * vX_[1458] + vX_[7505] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[7511] * vX_[1545] + vX_[7497] * vX_[1539]) * vX_[39] -
+ (vX_[7494] * vX_[1545] + vX_[7514] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[7524] * vX_[1770] + vX_[7522] * vX_[1764]) * vX_[31] -
+ (vX_[7528] * vX_[1770] + vX_[7526] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[7532] * vX_[1855] + vX_[7518] * vX_[1849]) * vX_[35] -
+ (vX_[7515] * vX_[1855] + vX_[7535] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[68] = ((vX_[7656] * vX_[998] + vX_[7654] * vX_[992]) * vX_[3] -
+ (vX_[7660] * vX_[998] + vX_[7658] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[7729] * vX_[1307] + vX_[7727] * vX_[1301]) * vX_[2059] -
+ (vX_[7733] * vX_[1307] + vX_[7731] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[7802] * vX_[1619] + vX_[7800] * vX_[1613]) * vX_[11] -
+ (vX_[7806] * vX_[1619] + vX_[7804] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[7875] * vX_[1933] + vX_[7873] * vX_[1927]) * vX_[49] -
+ (vX_[7879] * vX_[1933] + vX_[7877] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[7888] * vX_[833] + vX_[7886] * vX_[827]) * vX_[48] -
+ (vX_[7892] * vX_[833] + vX_[7890] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[7896] * vX_[918] + vX_[7882] * vX_[912]) * vX_[45] -
+ (vX_[7850] * vX_[918] + vX_[7899] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[7909] * vX_[1147] + vX_[7907] * vX_[1141]) * vX_[8] -
+ (vX_[7913] * vX_[1147] + vX_[7911] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[7917] * vX_[1235] + vX_[7903] * vX_[1229]) * vX_[2] -
+ (vX_[7900] * vX_[1235] + vX_[7920] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[7930] * vX_[1458] + vX_[7928] * vX_[1452]) * vX_[40] -
+ (vX_[7934] * vX_[1458] + vX_[7932] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[7938] * vX_[1545] + vX_[7924] * vX_[1539]) * vX_[39] -
+ (vX_[7921] * vX_[1545] + vX_[7941] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[7951] * vX_[1770] + vX_[7949] * vX_[1764]) * vX_[31] -
+ (vX_[7955] * vX_[1770] + vX_[7953] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[7959] * vX_[1855] + vX_[7945] * vX_[1849]) * vX_[35] -
+ (vX_[7942] * vX_[1855] + vX_[7962] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[69] = ((vX_[8075] * vX_[998] + vX_[8073] * vX_[992]) * vX_[3] -
+ (vX_[8079] * vX_[998] + vX_[8077] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[8148] * vX_[1307] + vX_[8146] * vX_[1301]) * vX_[2059] -
+ (vX_[8152] * vX_[1307] + vX_[8150] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[8221] * vX_[1619] + vX_[8219] * vX_[1613]) * vX_[11] -
+ (vX_[8225] * vX_[1619] + vX_[8223] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[8294] * vX_[1933] + vX_[8292] * vX_[1927]) * vX_[49] -
+ (vX_[8298] * vX_[1933] + vX_[8296] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[8307] * vX_[833] + vX_[8305] * vX_[827]) * vX_[48] -
+ (vX_[8311] * vX_[833] + vX_[8309] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[8315] * vX_[918] + vX_[8301] * vX_[912]) * vX_[45] -
+ (vX_[8269] * vX_[918] + vX_[8318] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[8328] * vX_[1147] + vX_[8326] * vX_[1141]) * vX_[8] -
+ (vX_[8332] * vX_[1147] + vX_[8330] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[8336] * vX_[1235] + vX_[8322] * vX_[1229]) * vX_[2] -
+ (vX_[8319] * vX_[1235] + vX_[8339] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[8349] * vX_[1458] + vX_[8347] * vX_[1452]) * vX_[40] -
+ (vX_[8353] * vX_[1458] + vX_[8351] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[8357] * vX_[1545] + vX_[8343] * vX_[1539]) * vX_[39] -
+ (vX_[8340] * vX_[1545] + vX_[8360] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[8370] * vX_[1770] + vX_[8368] * vX_[1764]) * vX_[31] -
+ (vX_[8374] * vX_[1770] + vX_[8372] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[8378] * vX_[1855] + vX_[8364] * vX_[1849]) * vX_[35] -
+ (vX_[8361] * vX_[1855] + vX_[8381] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[70] = ((vX_[8504] * vX_[998] + vX_[8502] * vX_[992]) * vX_[3] -
+ (vX_[8508] * vX_[998] + vX_[8506] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[8577] * vX_[1307] + vX_[8575] * vX_[1301]) * vX_[2059] -
+ (vX_[8581] * vX_[1307] + vX_[8579] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[8650] * vX_[1619] + vX_[8648] * vX_[1613]) * vX_[11] -
+ (vX_[8654] * vX_[1619] + vX_[8652] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[8723] * vX_[1933] + vX_[8721] * vX_[1927]) * vX_[49] -
+ (vX_[8727] * vX_[1933] + vX_[8725] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[8736] * vX_[833] + vX_[8734] * vX_[827]) * vX_[48] -
+ (vX_[8740] * vX_[833] + vX_[8738] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[8744] * vX_[918] + vX_[8730] * vX_[912]) * vX_[45] -
+ (vX_[8698] * vX_[918] + vX_[8747] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[8757] * vX_[1147] + vX_[8755] * vX_[1141]) * vX_[8] -
+ (vX_[8761] * vX_[1147] + vX_[8759] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[8765] * vX_[1235] + vX_[8751] * vX_[1229]) * vX_[2] -
+ (vX_[8748] * vX_[1235] + vX_[8768] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[8778] * vX_[1458] + vX_[8776] * vX_[1452]) * vX_[40] -
+ (vX_[8782] * vX_[1458] + vX_[8780] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[8786] * vX_[1545] + vX_[8772] * vX_[1539]) * vX_[39] -
+ (vX_[8769] * vX_[1545] + vX_[8789] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[8799] * vX_[1770] + vX_[8797] * vX_[1764]) * vX_[31] -
+ (vX_[8803] * vX_[1770] + vX_[8801] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[8807] * vX_[1855] + vX_[8793] * vX_[1849]) * vX_[35] -
+ (vX_[8790] * vX_[1855] + vX_[8810] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[71] = ((vX_[8933] * vX_[998] + vX_[8931] * vX_[992]) * vX_[3] -
+ (vX_[8937] * vX_[998] + vX_[1001] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[8997] * vX_[1307] + vX_[8995] * vX_[1301]) * vX_[2059] -
+ (vX_[9001] * vX_[1307] + vX_[1310] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[9061] * vX_[1619] + vX_[9059] * vX_[1613]) * vX_[11] -
+ (vX_[9065] * vX_[1619] + vX_[1622] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[9125] * vX_[1933] + vX_[9123] * vX_[1927]) * vX_[49] -
+ (vX_[9129] * vX_[1933] + vX_[1936] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[1970] * vX_[833] + vX_[9100] * vX_[827]) * vX_[48] -
+ (vX_[872] * vX_[833] + vX_[836] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[987] * vX_[918] + vX_[935] * vX_[912]) * vX_[45] -
+ (vX_[939] * vX_[918] + vX_[921] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[910] * vX_[1147] + vX_[949] * vX_[1141]) * vX_[8] -
+ (vX_[1189] * vX_[1147] + vX_[1150] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[1296] * vX_[1235] + vX_[1250] * vX_[1229]) * vX_[2] -
+ (vX_[1181] * vX_[1235] + vX_[1238] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[1227] * vX_[1458] + vX_[1260] * vX_[1452]) * vX_[40] -
+ (vX_[1499] * vX_[1458] + vX_[1461] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[1608] * vX_[1545] + vX_[1560] * vX_[1539]) * vX_[39] -
+ (vX_[1491] * vX_[1545] + vX_[1548] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[1537] * vX_[1770] + vX_[1572] * vX_[1764]) * vX_[31] -
+ (vX_[1809] * vX_[1770] + vX_[1773] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[1922] * vX_[1855] + vX_[1870] * vX_[1849]) * vX_[35] -
+ (vX_[1875] * vX_[1855] + vX_[1858] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ vX_[1858] = cos(vX_[2913]);
+ vX_[2913] = sin(vX_[2913]);
+ jac[57] = ((vX_[2928] * vX_[2912] + vX_[2938] * vX_[2918]) * vX_[1858] -
+ (vX_[2936] * vX_[2912] + vX_[2939] * vX_[2918]) * vX_[2913]) *
+ 0.5 +
+ ((vX_[3031] * vX_[998] + vX_[3029] * vX_[992]) * vX_[3] -
+ (vX_[3035] * vX_[998] + vX_[3033] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[3104] * vX_[1307] + vX_[3102] * vX_[1301]) * vX_[2059] -
+ (vX_[3108] * vX_[1307] + vX_[3106] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[3177] * vX_[1619] + vX_[3175] * vX_[1613]) * vX_[11] -
+ (vX_[3181] * vX_[1619] + vX_[3179] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[3250] * vX_[1933] + vX_[3248] * vX_[1927]) * vX_[49] -
+ (vX_[3254] * vX_[1933] + vX_[3252] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[3263] * vX_[833] + vX_[3261] * vX_[827]) * vX_[48] -
+ (vX_[3267] * vX_[833] + vX_[3265] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[3271] * vX_[918] + vX_[3257] * vX_[912]) * vX_[45] -
+ (vX_[3225] * vX_[918] + vX_[3274] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[3284] * vX_[1147] + vX_[3282] * vX_[1141]) * vX_[8] -
+ (vX_[3288] * vX_[1147] + vX_[3286] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[3292] * vX_[1235] + vX_[3278] * vX_[1229]) * vX_[2] -
+ (vX_[3275] * vX_[1235] + vX_[3295] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[3305] * vX_[1458] + vX_[3303] * vX_[1452]) * vX_[40] -
+ (vX_[3309] * vX_[1458] + vX_[3307] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[3313] * vX_[1545] + vX_[3299] * vX_[1539]) * vX_[39] -
+ (vX_[3296] * vX_[1545] + vX_[3316] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[3326] * vX_[1770] + vX_[3324] * vX_[1764]) * vX_[31] -
+ (vX_[3330] * vX_[1770] + vX_[3328] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[3334] * vX_[1855] + vX_[3320] * vX_[1849]) * vX_[35] -
+ (vX_[3317] * vX_[1855] + vX_[3337] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[58] = ((vX_[3342] * vX_[2912] + vX_[3345] * vX_[2918]) * vX_[1858] -
+ (vX_[3344] * vX_[2912] + vX_[3346] * vX_[2918]) * vX_[2913]) *
+ 0.5 +
+ ((vX_[3437] * vX_[998] + vX_[3435] * vX_[992]) * vX_[3] -
+ (vX_[3441] * vX_[998] + vX_[3439] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[3510] * vX_[1307] + vX_[3508] * vX_[1301]) * vX_[2059] -
+ (vX_[3514] * vX_[1307] + vX_[3512] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[3583] * vX_[1619] + vX_[3581] * vX_[1613]) * vX_[11] -
+ (vX_[3587] * vX_[1619] + vX_[3585] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[3656] * vX_[1933] + vX_[3654] * vX_[1927]) * vX_[49] -
+ (vX_[3660] * vX_[1933] + vX_[3658] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[3669] * vX_[833] + vX_[3667] * vX_[827]) * vX_[48] -
+ (vX_[3673] * vX_[833] + vX_[3671] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[3677] * vX_[918] + vX_[3663] * vX_[912]) * vX_[45] -
+ (vX_[3631] * vX_[918] + vX_[3680] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[3690] * vX_[1147] + vX_[3688] * vX_[1141]) * vX_[8] -
+ (vX_[3694] * vX_[1147] + vX_[3692] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[3698] * vX_[1235] + vX_[3684] * vX_[1229]) * vX_[2] -
+ (vX_[3681] * vX_[1235] + vX_[3701] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[3711] * vX_[1458] + vX_[3709] * vX_[1452]) * vX_[40] -
+ (vX_[3715] * vX_[1458] + vX_[3713] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[3719] * vX_[1545] + vX_[3705] * vX_[1539]) * vX_[39] -
+ (vX_[3702] * vX_[1545] + vX_[3722] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[3732] * vX_[1770] + vX_[3730] * vX_[1764]) * vX_[31] -
+ (vX_[3736] * vX_[1770] + vX_[3734] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[3740] * vX_[1855] + vX_[3726] * vX_[1849]) * vX_[35] -
+ (vX_[3723] * vX_[1855] + vX_[3743] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ jac[59] = (vX_[2921] * vX_[2918] * vX_[1858] - vX_[2922] * vX_[2912] * vX_[2913]) * 0.5 +
+ ((vX_[3833] * vX_[998] + vX_[3831] * vX_[992]) * vX_[3] -
+ (vX_[3837] * vX_[998] + vX_[3835] * vX_[992]) * vX_[993]) *
+ 0.5 +
+ ((vX_[3906] * vX_[1307] + vX_[3904] * vX_[1301]) * vX_[2059] -
+ (vX_[3910] * vX_[1307] + vX_[3908] * vX_[1301]) * vX_[1302]) *
+ 0.5 +
+ ((vX_[3979] * vX_[1619] + vX_[3977] * vX_[1613]) * vX_[11] -
+ (vX_[3983] * vX_[1619] + vX_[3981] * vX_[1613]) * vX_[1614]) *
+ 0.5 +
+ ((vX_[4052] * vX_[1933] + vX_[4050] * vX_[1927]) * vX_[49] -
+ (vX_[4056] * vX_[1933] + vX_[4054] * vX_[1927]) * vX_[1928]) *
+ 0.5 +
+ ((vX_[4065] * vX_[833] + vX_[4063] * vX_[827]) * vX_[48] -
+ (vX_[4069] * vX_[833] + vX_[4067] * vX_[827]) * vX_[828]) *
+ 0.5 +
+ ((vX_[4073] * vX_[918] + vX_[4059] * vX_[912]) * vX_[45] -
+ (vX_[4027] * vX_[918] + vX_[4076] * vX_[912]) * vX_[913]) *
+ 0.5 +
+ ((vX_[4086] * vX_[1147] + vX_[4084] * vX_[1141]) * vX_[8] -
+ (vX_[4090] * vX_[1147] + vX_[4088] * vX_[1141]) * vX_[1142]) *
+ 0.5 +
+ ((vX_[4094] * vX_[1235] + vX_[4080] * vX_[1229]) * vX_[2] -
+ (vX_[4077] * vX_[1235] + vX_[4097] * vX_[1229]) * vX_[1230]) *
+ 0.5 +
+ ((vX_[4107] * vX_[1458] + vX_[4105] * vX_[1452]) * vX_[40] -
+ (vX_[4111] * vX_[1458] + vX_[4109] * vX_[1452]) * vX_[1453]) *
+ 0.5 +
+ ((vX_[4115] * vX_[1545] + vX_[4101] * vX_[1539]) * vX_[39] -
+ (vX_[4098] * vX_[1545] + vX_[4118] * vX_[1539]) * vX_[1540]) *
+ 0.5 +
+ ((vX_[4128] * vX_[1770] + vX_[4126] * vX_[1764]) * vX_[31] -
+ (vX_[4132] * vX_[1770] + vX_[4130] * vX_[1764]) * vX_[1765]) *
+ 0.5 +
+ ((vX_[4136] * vX_[1855] + vX_[4122] * vX_[1849]) * vX_[35] -
+ (vX_[4119] * vX_[1855] + vX_[4139] * vX_[1849]) * vX_[1850]) *
+ 0.5;
+ vX_[2913] = sin(x_in[2]);
+ vX_[1858] = cos(x_in[2]);
+ jac[72] = 0 - x_in[18] * vX_[2091] * vX_[2913] + x_in[19] * vX_[1538] * vX_[1858];
+ jac[73] = 0 - x_in[19] * vX_[2913] + x_in[18] * vX_[1858];
+ jac[74] = 0 - vX_[1451] * vX_[1538] * vX_[2913] + vX_[2056] * vX_[2091] * vX_[1858];
+ vX_[1858] = cos(vX_[6]);
+ vX_[6] = sin(vX_[6]);
+ jac[75] = ((vX_[0] * vX_[5] + vX_[24] * vX_[14] + vX_[25] * vX_[15] + vX_[21] * vX_[10]) * vX_[1858] -
+ (vX_[0] * vX_[10] + vX_[23] * vX_[15] + vX_[25] * vX_[14] + vX_[17] * vX_[5]) * vX_[6]) *
+ 0.5;
+ jac[76] = ((vX_[30] * vX_[5] + vX_[37] * vX_[14] + vX_[38] * vX_[15] + vX_[34] * vX_[10]) * vX_[1858] -
+ (vX_[30] * vX_[10] + vX_[36] * vX_[15] + vX_[38] * vX_[14] + vX_[33] * vX_[5]) * vX_[6]) *
+ 0.5;
+ jac[77] = ((vX_[41] * vX_[5] + vX_[42] * vX_[14] + vX_[47] * vX_[15] + vX_[44] * vX_[10]) * vX_[1858] -
+ (vX_[41] * vX_[10] + vX_[46] * vX_[15] + vX_[47] * vX_[14] + vX_[43] * vX_[5]) * vX_[6]) *
+ 0.5;
+ vX_[6] = cos(vX_[996]);
+ vX_[996] = sin(vX_[996]);
+ vX_[1858] = cos(vX_[1305]);
+ vX_[1305] = sin(vX_[1305]);
+ vX_[47] = cos(vX_[1617]);
+ vX_[1617] = sin(vX_[1617]);
+ vX_[42] = cos(vX_[1931]);
+ vX_[1931] = sin(vX_[1931]);
+ vX_[46] = cos(vX_[831]);
+ vX_[831] = sin(vX_[831]);
+ vX_[44] = cos(vX_[916]);
+ vX_[916] = sin(vX_[916]);
+ vX_[43] = cos(vX_[1145]);
+ vX_[1145] = sin(vX_[1145]);
+ vX_[41] = cos(vX_[1233]);
+ vX_[1233] = sin(vX_[1233]);
+ vX_[15] = cos(vX_[1456]);
+ vX_[1456] = sin(vX_[1456]);
+ vX_[14] = cos(vX_[1543]);
+ vX_[1543] = sin(vX_[1543]);
+ vX_[10] = cos(vX_[1768]);
+ vX_[1768] = sin(vX_[1768]);
+ vX_[5] = cos(vX_[1853]);
+ vX_[1853] = sin(vX_[1853]);
+ jac[90] =
+ ((vX_[990] * vX_[995] + vX_[1035] * vX_[1032] + vX_[1044] * vX_[1031] + vX_[1042] * vX_[1000]) * vX_[6] -
+ (vX_[990] * vX_[1000] + vX_[989] * vX_[1031] + vX_[1044] * vX_[1032] + vX_[1040] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[1299] * vX_[1304] + vX_[1346] * vX_[1343] + vX_[1355] * vX_[1342] + vX_[1353] * vX_[1309]) * vX_[1858] -
+ (vX_[1299] * vX_[1309] + vX_[1298] * vX_[1342] + vX_[1355] * vX_[1343] + vX_[1351] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[1611] * vX_[1616] + vX_[1656] * vX_[1653] + vX_[1665] * vX_[1652] + vX_[1663] * vX_[1621]) * vX_[47] -
+ (vX_[1611] * vX_[1621] + vX_[1610] * vX_[1652] + vX_[1665] * vX_[1653] + vX_[1661] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[1925] * vX_[1930] + vX_[1972] * vX_[1969] + vX_[1981] * vX_[1968] + vX_[1979] * vX_[1935]) * vX_[42] -
+ (vX_[1925] * vX_[1935] + vX_[1924] * vX_[1968] + vX_[1981] * vX_[1969] + vX_[1977] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[1998] * vX_[830] + vX_[1999] * vX_[840] + vX_[2004] * vX_[841] + vX_[825] * vX_[835]) * vX_[46] -
+ (vX_[1998] * vX_[835] + vX_[1997] * vX_[841] + vX_[2004] * vX_[840] + vX_[2003] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[1967] * vX_[915] + vX_[2001] * vX_[924] + vX_[2008] * vX_[923] + vX_[2006] * vX_[920]) * vX_[44] -
+ (vX_[1967] * vX_[920] + vX_[2009] * vX_[923] + vX_[2008] * vX_[924] + vX_[2005] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[2030] * vX_[1144] + vX_[2031] * vX_[1154] + vX_[2036] * vX_[1155] + vX_[1139] * vX_[1149]) * vX_[43] -
+ (vX_[2030] * vX_[1149] + vX_[2029] * vX_[1155] + vX_[2036] * vX_[1154] + vX_[2035] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[2012] * vX_[1232] + vX_[2033] * vX_[1241] + vX_[2040] * vX_[1240] + vX_[2038] * vX_[1237]) * vX_[41] -
+ (vX_[2012] * vX_[1237] + vX_[2041] * vX_[1240] + vX_[2040] * vX_[1241] + vX_[2037] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[2062] * vX_[1455] + vX_[2063] * vX_[1465] + vX_[2068] * vX_[1466] + vX_[1450] * vX_[1460]) * vX_[15] -
+ (vX_[2062] * vX_[1460] + vX_[2061] * vX_[1466] + vX_[2068] * vX_[1465] + vX_[2067] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[2044] * vX_[1542] + vX_[2065] * vX_[1551] + vX_[2072] * vX_[1550] + vX_[2070] * vX_[1547]) * vX_[14] -
+ (vX_[2044] * vX_[1547] + vX_[2073] * vX_[1550] + vX_[2072] * vX_[1551] + vX_[2069] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[2094] * vX_[1767] + vX_[2095] * vX_[1777] + vX_[2100] * vX_[1778] + vX_[1762] * vX_[1772]) * vX_[10] -
+ (vX_[2094] * vX_[1772] + vX_[2093] * vX_[1778] + vX_[2100] * vX_[1777] + vX_[2099] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[2076] * vX_[1852] + vX_[2097] * vX_[1861] + vX_[2104] * vX_[1860] + vX_[2102] * vX_[1857]) * vX_[5] -
+ (vX_[2076] * vX_[1857] + vX_[2105] * vX_[1860] + vX_[2104] * vX_[1861] + vX_[2101] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[91] =
+ ((vX_[2192] * vX_[995] + vX_[2205] * vX_[1032] + vX_[2210] * vX_[1031] + vX_[2193] * vX_[1000]) * vX_[6] -
+ (vX_[2192] * vX_[1000] + vX_[2191] * vX_[1031] + vX_[2210] * vX_[1032] + vX_[2209] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[2265] * vX_[1304] + vX_[2278] * vX_[1343] + vX_[2283] * vX_[1342] + vX_[2266] * vX_[1309]) * vX_[1858] -
+ (vX_[2265] * vX_[1309] + vX_[2264] * vX_[1342] + vX_[2283] * vX_[1343] + vX_[2282] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[2338] * vX_[1616] + vX_[2351] * vX_[1653] + vX_[2356] * vX_[1652] + vX_[2339] * vX_[1621]) * vX_[47] -
+ (vX_[2338] * vX_[1621] + vX_[2337] * vX_[1652] + vX_[2356] * vX_[1653] + vX_[2355] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[2411] * vX_[1930] + vX_[2424] * vX_[1969] + vX_[2429] * vX_[1968] + vX_[2412] * vX_[1935]) * vX_[42] -
+ (vX_[2411] * vX_[1935] + vX_[2410] * vX_[1968] + vX_[2429] * vX_[1969] + vX_[2428] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[2433] * vX_[830] + vX_[2437] * vX_[840] + vX_[2442] * vX_[841] + vX_[2178] * vX_[835]) * vX_[46] -
+ (vX_[2433] * vX_[835] + vX_[2432] * vX_[841] + vX_[2442] * vX_[840] + vX_[2441] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[2426] * vX_[915] + vX_[2435] * vX_[924] + vX_[2445] * vX_[923] + vX_[2443] * vX_[920]) * vX_[44] -
+ (vX_[2426] * vX_[920] + vX_[2446] * vX_[923] + vX_[2445] * vX_[924] + vX_[2439] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[2454] * vX_[1144] + vX_[2458] * vX_[1154] + vX_[2463] * vX_[1155] + vX_[2251] * vX_[1149]) * vX_[43] -
+ (vX_[2454] * vX_[1149] + vX_[2453] * vX_[1155] + vX_[2463] * vX_[1154] + vX_[2462] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[2450] * vX_[1232] + vX_[2456] * vX_[1241] + vX_[2466] * vX_[1240] + vX_[2464] * vX_[1237]) * vX_[41] -
+ (vX_[2450] * vX_[1237] + vX_[2467] * vX_[1240] + vX_[2466] * vX_[1241] + vX_[2460] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[2475] * vX_[1455] + vX_[2479] * vX_[1465] + vX_[2484] * vX_[1466] + vX_[2324] * vX_[1460]) * vX_[15] -
+ (vX_[2475] * vX_[1460] + vX_[2474] * vX_[1466] + vX_[2484] * vX_[1465] + vX_[2483] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[2471] * vX_[1542] + vX_[2477] * vX_[1551] + vX_[2487] * vX_[1550] + vX_[2485] * vX_[1547]) * vX_[14] -
+ (vX_[2471] * vX_[1547] + vX_[2488] * vX_[1550] + vX_[2487] * vX_[1551] + vX_[2481] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[2496] * vX_[1767] + vX_[2500] * vX_[1777] + vX_[2505] * vX_[1778] + vX_[2397] * vX_[1772]) * vX_[10] -
+ (vX_[2496] * vX_[1772] + vX_[2495] * vX_[1778] + vX_[2505] * vX_[1777] + vX_[2504] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[2492] * vX_[1852] + vX_[2498] * vX_[1861] + vX_[2508] * vX_[1860] + vX_[2506] * vX_[1857]) * vX_[5] -
+ (vX_[2492] * vX_[1857] + vX_[2509] * vX_[1860] + vX_[2508] * vX_[1861] + vX_[2502] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[92] =
+ ((vX_[2592] * vX_[995] + vX_[2605] * vX_[1032] + vX_[2610] * vX_[1031] + vX_[2593] * vX_[1000]) * vX_[6] -
+ (vX_[2592] * vX_[1000] + vX_[2591] * vX_[1031] + vX_[2610] * vX_[1032] + vX_[2609] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[2665] * vX_[1304] + vX_[2678] * vX_[1343] + vX_[2683] * vX_[1342] + vX_[2666] * vX_[1309]) * vX_[1858] -
+ (vX_[2665] * vX_[1309] + vX_[2664] * vX_[1342] + vX_[2683] * vX_[1343] + vX_[2682] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[2738] * vX_[1616] + vX_[2751] * vX_[1653] + vX_[2756] * vX_[1652] + vX_[2739] * vX_[1621]) * vX_[47] -
+ (vX_[2738] * vX_[1621] + vX_[2737] * vX_[1652] + vX_[2756] * vX_[1653] + vX_[2755] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[2811] * vX_[1930] + vX_[2824] * vX_[1969] + vX_[2829] * vX_[1968] + vX_[2812] * vX_[1935]) * vX_[42] -
+ (vX_[2811] * vX_[1935] + vX_[2810] * vX_[1968] + vX_[2829] * vX_[1969] + vX_[2828] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[2833] * vX_[830] + vX_[2837] * vX_[840] + vX_[2842] * vX_[841] + vX_[2578] * vX_[835]) * vX_[46] -
+ (vX_[2833] * vX_[835] + vX_[2832] * vX_[841] + vX_[2842] * vX_[840] + vX_[2841] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[2826] * vX_[915] + vX_[2835] * vX_[924] + vX_[2845] * vX_[923] + vX_[2843] * vX_[920]) * vX_[44] -
+ (vX_[2826] * vX_[920] + vX_[2846] * vX_[923] + vX_[2845] * vX_[924] + vX_[2839] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[2854] * vX_[1144] + vX_[2858] * vX_[1154] + vX_[2863] * vX_[1155] + vX_[2651] * vX_[1149]) * vX_[43] -
+ (vX_[2854] * vX_[1149] + vX_[2853] * vX_[1155] + vX_[2863] * vX_[1154] + vX_[2862] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[2850] * vX_[1232] + vX_[2856] * vX_[1241] + vX_[2866] * vX_[1240] + vX_[2864] * vX_[1237]) * vX_[41] -
+ (vX_[2850] * vX_[1237] + vX_[2867] * vX_[1240] + vX_[2866] * vX_[1241] + vX_[2860] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[2875] * vX_[1455] + vX_[2879] * vX_[1465] + vX_[2884] * vX_[1466] + vX_[2724] * vX_[1460]) * vX_[15] -
+ (vX_[2875] * vX_[1460] + vX_[2874] * vX_[1466] + vX_[2884] * vX_[1465] + vX_[2883] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[2871] * vX_[1542] + vX_[2877] * vX_[1551] + vX_[2887] * vX_[1550] + vX_[2885] * vX_[1547]) * vX_[14] -
+ (vX_[2871] * vX_[1547] + vX_[2888] * vX_[1550] + vX_[2887] * vX_[1551] + vX_[2881] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[2896] * vX_[1767] + vX_[2900] * vX_[1777] + vX_[2905] * vX_[1778] + vX_[2797] * vX_[1772]) * vX_[10] -
+ (vX_[2896] * vX_[1772] + vX_[2895] * vX_[1778] + vX_[2905] * vX_[1777] + vX_[2904] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[2892] * vX_[1852] + vX_[2898] * vX_[1861] + vX_[2908] * vX_[1860] + vX_[2906] * vX_[1857]) * vX_[5] -
+ (vX_[2892] * vX_[1857] + vX_[2909] * vX_[1860] + vX_[2908] * vX_[1861] + vX_[2902] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[96] =
+ ((vX_[4236] * vX_[995] + vX_[4249] * vX_[1032] + vX_[4254] * vX_[1031] + vX_[4237] * vX_[1000]) * vX_[6] -
+ (vX_[4236] * vX_[1000] + vX_[4235] * vX_[1031] + vX_[4254] * vX_[1032] + vX_[4253] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[4309] * vX_[1304] + vX_[4322] * vX_[1343] + vX_[4327] * vX_[1342] + vX_[4310] * vX_[1309]) * vX_[1858] -
+ (vX_[4309] * vX_[1309] + vX_[4308] * vX_[1342] + vX_[4327] * vX_[1343] + vX_[4326] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[4382] * vX_[1616] + vX_[4395] * vX_[1653] + vX_[4400] * vX_[1652] + vX_[4383] * vX_[1621]) * vX_[47] -
+ (vX_[4382] * vX_[1621] + vX_[4381] * vX_[1652] + vX_[4400] * vX_[1653] + vX_[4399] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[4455] * vX_[1930] + vX_[4468] * vX_[1969] + vX_[4473] * vX_[1968] + vX_[4456] * vX_[1935]) * vX_[42] -
+ (vX_[4455] * vX_[1935] + vX_[4454] * vX_[1968] + vX_[4473] * vX_[1969] + vX_[4472] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[4477] * vX_[830] + vX_[4481] * vX_[840] + vX_[4486] * vX_[841] + vX_[4222] * vX_[835]) * vX_[46] -
+ (vX_[4477] * vX_[835] + vX_[4476] * vX_[841] + vX_[4486] * vX_[840] + vX_[4485] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[4470] * vX_[915] + vX_[4479] * vX_[924] + vX_[4489] * vX_[923] + vX_[4487] * vX_[920]) * vX_[44] -
+ (vX_[4470] * vX_[920] + vX_[4490] * vX_[923] + vX_[4489] * vX_[924] + vX_[4483] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[4498] * vX_[1144] + vX_[4502] * vX_[1154] + vX_[4507] * vX_[1155] + vX_[4295] * vX_[1149]) * vX_[43] -
+ (vX_[4498] * vX_[1149] + vX_[4497] * vX_[1155] + vX_[4507] * vX_[1154] + vX_[4506] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[4494] * vX_[1232] + vX_[4500] * vX_[1241] + vX_[4510] * vX_[1240] + vX_[4508] * vX_[1237]) * vX_[41] -
+ (vX_[4494] * vX_[1237] + vX_[4511] * vX_[1240] + vX_[4510] * vX_[1241] + vX_[4504] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[4519] * vX_[1455] + vX_[4523] * vX_[1465] + vX_[4528] * vX_[1466] + vX_[4368] * vX_[1460]) * vX_[15] -
+ (vX_[4519] * vX_[1460] + vX_[4518] * vX_[1466] + vX_[4528] * vX_[1465] + vX_[4527] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[4515] * vX_[1542] + vX_[4521] * vX_[1551] + vX_[4531] * vX_[1550] + vX_[4529] * vX_[1547]) * vX_[14] -
+ (vX_[4515] * vX_[1547] + vX_[4532] * vX_[1550] + vX_[4531] * vX_[1551] + vX_[4525] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[4540] * vX_[1767] + vX_[4544] * vX_[1777] + vX_[4549] * vX_[1778] + vX_[4441] * vX_[1772]) * vX_[10] -
+ (vX_[4540] * vX_[1772] + vX_[4539] * vX_[1778] + vX_[4549] * vX_[1777] + vX_[4548] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[4536] * vX_[1852] + vX_[4542] * vX_[1861] + vX_[4552] * vX_[1860] + vX_[4550] * vX_[1857]) * vX_[5] -
+ (vX_[4536] * vX_[1857] + vX_[4553] * vX_[1860] + vX_[4552] * vX_[1861] + vX_[4546] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[97] =
+ ((vX_[4665] * vX_[995] + vX_[4678] * vX_[1032] + vX_[4683] * vX_[1031] + vX_[4666] * vX_[1000]) * vX_[6] -
+ (vX_[4665] * vX_[1000] + vX_[4664] * vX_[1031] + vX_[4683] * vX_[1032] + vX_[4682] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[4738] * vX_[1304] + vX_[4751] * vX_[1343] + vX_[4756] * vX_[1342] + vX_[4739] * vX_[1309]) * vX_[1858] -
+ (vX_[4738] * vX_[1309] + vX_[4737] * vX_[1342] + vX_[4756] * vX_[1343] + vX_[4755] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[4811] * vX_[1616] + vX_[4824] * vX_[1653] + vX_[4829] * vX_[1652] + vX_[4812] * vX_[1621]) * vX_[47] -
+ (vX_[4811] * vX_[1621] + vX_[4810] * vX_[1652] + vX_[4829] * vX_[1653] + vX_[4828] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[4884] * vX_[1930] + vX_[4897] * vX_[1969] + vX_[4902] * vX_[1968] + vX_[4885] * vX_[1935]) * vX_[42] -
+ (vX_[4884] * vX_[1935] + vX_[4883] * vX_[1968] + vX_[4902] * vX_[1969] + vX_[4901] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[4906] * vX_[830] + vX_[4910] * vX_[840] + vX_[4915] * vX_[841] + vX_[4651] * vX_[835]) * vX_[46] -
+ (vX_[4906] * vX_[835] + vX_[4905] * vX_[841] + vX_[4915] * vX_[840] + vX_[4914] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[4899] * vX_[915] + vX_[4908] * vX_[924] + vX_[4918] * vX_[923] + vX_[4916] * vX_[920]) * vX_[44] -
+ (vX_[4899] * vX_[920] + vX_[4919] * vX_[923] + vX_[4918] * vX_[924] + vX_[4912] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[4927] * vX_[1144] + vX_[4931] * vX_[1154] + vX_[4936] * vX_[1155] + vX_[4724] * vX_[1149]) * vX_[43] -
+ (vX_[4927] * vX_[1149] + vX_[4926] * vX_[1155] + vX_[4936] * vX_[1154] + vX_[4935] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[4923] * vX_[1232] + vX_[4929] * vX_[1241] + vX_[4939] * vX_[1240] + vX_[4937] * vX_[1237]) * vX_[41] -
+ (vX_[4923] * vX_[1237] + vX_[4940] * vX_[1240] + vX_[4939] * vX_[1241] + vX_[4933] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[4948] * vX_[1455] + vX_[4952] * vX_[1465] + vX_[4957] * vX_[1466] + vX_[4797] * vX_[1460]) * vX_[15] -
+ (vX_[4948] * vX_[1460] + vX_[4947] * vX_[1466] + vX_[4957] * vX_[1465] + vX_[4956] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[4944] * vX_[1542] + vX_[4950] * vX_[1551] + vX_[4960] * vX_[1550] + vX_[4958] * vX_[1547]) * vX_[14] -
+ (vX_[4944] * vX_[1547] + vX_[4961] * vX_[1550] + vX_[4960] * vX_[1551] + vX_[4954] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[4969] * vX_[1767] + vX_[4973] * vX_[1777] + vX_[4978] * vX_[1778] + vX_[4870] * vX_[1772]) * vX_[10] -
+ (vX_[4969] * vX_[1772] + vX_[4968] * vX_[1778] + vX_[4978] * vX_[1777] + vX_[4977] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[4965] * vX_[1852] + vX_[4971] * vX_[1861] + vX_[4981] * vX_[1860] + vX_[4979] * vX_[1857]) * vX_[5] -
+ (vX_[4965] * vX_[1857] + vX_[4982] * vX_[1860] + vX_[4981] * vX_[1861] + vX_[4975] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[98] =
+ ((vX_[5094] * vX_[995] + vX_[5107] * vX_[1032] + vX_[5112] * vX_[1031] + vX_[5095] * vX_[1000]) * vX_[6] -
+ (vX_[5094] * vX_[1000] + vX_[5093] * vX_[1031] + vX_[5112] * vX_[1032] + vX_[5111] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[5167] * vX_[1304] + vX_[5180] * vX_[1343] + vX_[5185] * vX_[1342] + vX_[5168] * vX_[1309]) * vX_[1858] -
+ (vX_[5167] * vX_[1309] + vX_[5166] * vX_[1342] + vX_[5185] * vX_[1343] + vX_[5184] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[5240] * vX_[1616] + vX_[5253] * vX_[1653] + vX_[5258] * vX_[1652] + vX_[5241] * vX_[1621]) * vX_[47] -
+ (vX_[5240] * vX_[1621] + vX_[5239] * vX_[1652] + vX_[5258] * vX_[1653] + vX_[5257] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[5313] * vX_[1930] + vX_[5326] * vX_[1969] + vX_[5331] * vX_[1968] + vX_[5314] * vX_[1935]) * vX_[42] -
+ (vX_[5313] * vX_[1935] + vX_[5312] * vX_[1968] + vX_[5331] * vX_[1969] + vX_[5330] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[5335] * vX_[830] + vX_[5339] * vX_[840] + vX_[5344] * vX_[841] + vX_[5080] * vX_[835]) * vX_[46] -
+ (vX_[5335] * vX_[835] + vX_[5334] * vX_[841] + vX_[5344] * vX_[840] + vX_[5343] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[5328] * vX_[915] + vX_[5337] * vX_[924] + vX_[5347] * vX_[923] + vX_[5345] * vX_[920]) * vX_[44] -
+ (vX_[5328] * vX_[920] + vX_[5348] * vX_[923] + vX_[5347] * vX_[924] + vX_[5341] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[5356] * vX_[1144] + vX_[5360] * vX_[1154] + vX_[5365] * vX_[1155] + vX_[5153] * vX_[1149]) * vX_[43] -
+ (vX_[5356] * vX_[1149] + vX_[5355] * vX_[1155] + vX_[5365] * vX_[1154] + vX_[5364] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[5352] * vX_[1232] + vX_[5358] * vX_[1241] + vX_[5368] * vX_[1240] + vX_[5366] * vX_[1237]) * vX_[41] -
+ (vX_[5352] * vX_[1237] + vX_[5369] * vX_[1240] + vX_[5368] * vX_[1241] + vX_[5362] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[5377] * vX_[1455] + vX_[5381] * vX_[1465] + vX_[5386] * vX_[1466] + vX_[5226] * vX_[1460]) * vX_[15] -
+ (vX_[5377] * vX_[1460] + vX_[5376] * vX_[1466] + vX_[5386] * vX_[1465] + vX_[5385] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[5373] * vX_[1542] + vX_[5379] * vX_[1551] + vX_[5389] * vX_[1550] + vX_[5387] * vX_[1547]) * vX_[14] -
+ (vX_[5373] * vX_[1547] + vX_[5390] * vX_[1550] + vX_[5389] * vX_[1551] + vX_[5383] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[5398] * vX_[1767] + vX_[5402] * vX_[1777] + vX_[5407] * vX_[1778] + vX_[5299] * vX_[1772]) * vX_[10] -
+ (vX_[5398] * vX_[1772] + vX_[5397] * vX_[1778] + vX_[5407] * vX_[1777] + vX_[5406] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[5394] * vX_[1852] + vX_[5400] * vX_[1861] + vX_[5410] * vX_[1860] + vX_[5408] * vX_[1857]) * vX_[5] -
+ (vX_[5394] * vX_[1857] + vX_[5411] * vX_[1860] + vX_[5410] * vX_[1861] + vX_[5404] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[99] =
+ ((vX_[5513] * vX_[995] + vX_[5526] * vX_[1032] + vX_[5531] * vX_[1031] + vX_[5514] * vX_[1000]) * vX_[6] -
+ (vX_[5513] * vX_[1000] + vX_[5512] * vX_[1031] + vX_[5531] * vX_[1032] + vX_[5530] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[5586] * vX_[1304] + vX_[5599] * vX_[1343] + vX_[5604] * vX_[1342] + vX_[5587] * vX_[1309]) * vX_[1858] -
+ (vX_[5586] * vX_[1309] + vX_[5585] * vX_[1342] + vX_[5604] * vX_[1343] + vX_[5603] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[5659] * vX_[1616] + vX_[5672] * vX_[1653] + vX_[5677] * vX_[1652] + vX_[5660] * vX_[1621]) * vX_[47] -
+ (vX_[5659] * vX_[1621] + vX_[5658] * vX_[1652] + vX_[5677] * vX_[1653] + vX_[5676] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[5732] * vX_[1930] + vX_[5745] * vX_[1969] + vX_[5750] * vX_[1968] + vX_[5733] * vX_[1935]) * vX_[42] -
+ (vX_[5732] * vX_[1935] + vX_[5731] * vX_[1968] + vX_[5750] * vX_[1969] + vX_[5749] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[5754] * vX_[830] + vX_[5758] * vX_[840] + vX_[5763] * vX_[841] + vX_[5499] * vX_[835]) * vX_[46] -
+ (vX_[5754] * vX_[835] + vX_[5753] * vX_[841] + vX_[5763] * vX_[840] + vX_[5762] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[5747] * vX_[915] + vX_[5756] * vX_[924] + vX_[5766] * vX_[923] + vX_[5764] * vX_[920]) * vX_[44] -
+ (vX_[5747] * vX_[920] + vX_[5767] * vX_[923] + vX_[5766] * vX_[924] + vX_[5760] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[5775] * vX_[1144] + vX_[5779] * vX_[1154] + vX_[5784] * vX_[1155] + vX_[5572] * vX_[1149]) * vX_[43] -
+ (vX_[5775] * vX_[1149] + vX_[5774] * vX_[1155] + vX_[5784] * vX_[1154] + vX_[5783] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[5771] * vX_[1232] + vX_[5777] * vX_[1241] + vX_[5787] * vX_[1240] + vX_[5785] * vX_[1237]) * vX_[41] -
+ (vX_[5771] * vX_[1237] + vX_[5788] * vX_[1240] + vX_[5787] * vX_[1241] + vX_[5781] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[5796] * vX_[1455] + vX_[5800] * vX_[1465] + vX_[5805] * vX_[1466] + vX_[5645] * vX_[1460]) * vX_[15] -
+ (vX_[5796] * vX_[1460] + vX_[5795] * vX_[1466] + vX_[5805] * vX_[1465] + vX_[5804] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[5792] * vX_[1542] + vX_[5798] * vX_[1551] + vX_[5808] * vX_[1550] + vX_[5806] * vX_[1547]) * vX_[14] -
+ (vX_[5792] * vX_[1547] + vX_[5809] * vX_[1550] + vX_[5808] * vX_[1551] + vX_[5802] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[5817] * vX_[1767] + vX_[5821] * vX_[1777] + vX_[5826] * vX_[1778] + vX_[5718] * vX_[1772]) * vX_[10] -
+ (vX_[5817] * vX_[1772] + vX_[5816] * vX_[1778] + vX_[5826] * vX_[1777] + vX_[5825] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[5813] * vX_[1852] + vX_[5819] * vX_[1861] + vX_[5829] * vX_[1860] + vX_[5827] * vX_[1857]) * vX_[5] -
+ (vX_[5813] * vX_[1857] + vX_[5830] * vX_[1860] + vX_[5829] * vX_[1861] + vX_[5823] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[100] =
+ ((vX_[5942] * vX_[995] + vX_[5955] * vX_[1032] + vX_[5960] * vX_[1031] + vX_[5943] * vX_[1000]) * vX_[6] -
+ (vX_[5942] * vX_[1000] + vX_[5941] * vX_[1031] + vX_[5960] * vX_[1032] + vX_[5959] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[6015] * vX_[1304] + vX_[6028] * vX_[1343] + vX_[6033] * vX_[1342] + vX_[6016] * vX_[1309]) * vX_[1858] -
+ (vX_[6015] * vX_[1309] + vX_[6014] * vX_[1342] + vX_[6033] * vX_[1343] + vX_[6032] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[6088] * vX_[1616] + vX_[6101] * vX_[1653] + vX_[6106] * vX_[1652] + vX_[6089] * vX_[1621]) * vX_[47] -
+ (vX_[6088] * vX_[1621] + vX_[6087] * vX_[1652] + vX_[6106] * vX_[1653] + vX_[6105] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[6161] * vX_[1930] + vX_[6174] * vX_[1969] + vX_[6179] * vX_[1968] + vX_[6162] * vX_[1935]) * vX_[42] -
+ (vX_[6161] * vX_[1935] + vX_[6160] * vX_[1968] + vX_[6179] * vX_[1969] + vX_[6178] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[6183] * vX_[830] + vX_[6187] * vX_[840] + vX_[6192] * vX_[841] + vX_[5928] * vX_[835]) * vX_[46] -
+ (vX_[6183] * vX_[835] + vX_[6182] * vX_[841] + vX_[6192] * vX_[840] + vX_[6191] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[6176] * vX_[915] + vX_[6185] * vX_[924] + vX_[6195] * vX_[923] + vX_[6193] * vX_[920]) * vX_[44] -
+ (vX_[6176] * vX_[920] + vX_[6196] * vX_[923] + vX_[6195] * vX_[924] + vX_[6189] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[6204] * vX_[1144] + vX_[6208] * vX_[1154] + vX_[6213] * vX_[1155] + vX_[6001] * vX_[1149]) * vX_[43] -
+ (vX_[6204] * vX_[1149] + vX_[6203] * vX_[1155] + vX_[6213] * vX_[1154] + vX_[6212] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[6200] * vX_[1232] + vX_[6206] * vX_[1241] + vX_[6216] * vX_[1240] + vX_[6214] * vX_[1237]) * vX_[41] -
+ (vX_[6200] * vX_[1237] + vX_[6217] * vX_[1240] + vX_[6216] * vX_[1241] + vX_[6210] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[6225] * vX_[1455] + vX_[6229] * vX_[1465] + vX_[6234] * vX_[1466] + vX_[6074] * vX_[1460]) * vX_[15] -
+ (vX_[6225] * vX_[1460] + vX_[6224] * vX_[1466] + vX_[6234] * vX_[1465] + vX_[6233] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[6221] * vX_[1542] + vX_[6227] * vX_[1551] + vX_[6237] * vX_[1550] + vX_[6235] * vX_[1547]) * vX_[14] -
+ (vX_[6221] * vX_[1547] + vX_[6238] * vX_[1550] + vX_[6237] * vX_[1551] + vX_[6231] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[6246] * vX_[1767] + vX_[6250] * vX_[1777] + vX_[6255] * vX_[1778] + vX_[6147] * vX_[1772]) * vX_[10] -
+ (vX_[6246] * vX_[1772] + vX_[6245] * vX_[1778] + vX_[6255] * vX_[1777] + vX_[6254] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[6242] * vX_[1852] + vX_[6248] * vX_[1861] + vX_[6258] * vX_[1860] + vX_[6256] * vX_[1857]) * vX_[5] -
+ (vX_[6242] * vX_[1857] + vX_[6259] * vX_[1860] + vX_[6258] * vX_[1861] + vX_[6252] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[101] =
+ ((vX_[6371] * vX_[995] + vX_[6384] * vX_[1032] + vX_[6389] * vX_[1031] + vX_[6372] * vX_[1000]) * vX_[6] -
+ (vX_[6371] * vX_[1000] + vX_[6370] * vX_[1031] + vX_[6389] * vX_[1032] + vX_[6388] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[6444] * vX_[1304] + vX_[6457] * vX_[1343] + vX_[6462] * vX_[1342] + vX_[6445] * vX_[1309]) * vX_[1858] -
+ (vX_[6444] * vX_[1309] + vX_[6443] * vX_[1342] + vX_[6462] * vX_[1343] + vX_[6461] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[6517] * vX_[1616] + vX_[6530] * vX_[1653] + vX_[6535] * vX_[1652] + vX_[6518] * vX_[1621]) * vX_[47] -
+ (vX_[6517] * vX_[1621] + vX_[6516] * vX_[1652] + vX_[6535] * vX_[1653] + vX_[6534] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[6590] * vX_[1930] + vX_[6603] * vX_[1969] + vX_[6608] * vX_[1968] + vX_[6591] * vX_[1935]) * vX_[42] -
+ (vX_[6590] * vX_[1935] + vX_[6589] * vX_[1968] + vX_[6608] * vX_[1969] + vX_[6607] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[6612] * vX_[830] + vX_[6616] * vX_[840] + vX_[6621] * vX_[841] + vX_[6357] * vX_[835]) * vX_[46] -
+ (vX_[6612] * vX_[835] + vX_[6611] * vX_[841] + vX_[6621] * vX_[840] + vX_[6620] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[6605] * vX_[915] + vX_[6614] * vX_[924] + vX_[6624] * vX_[923] + vX_[6622] * vX_[920]) * vX_[44] -
+ (vX_[6605] * vX_[920] + vX_[6625] * vX_[923] + vX_[6624] * vX_[924] + vX_[6618] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[6633] * vX_[1144] + vX_[6637] * vX_[1154] + vX_[6642] * vX_[1155] + vX_[6430] * vX_[1149]) * vX_[43] -
+ (vX_[6633] * vX_[1149] + vX_[6632] * vX_[1155] + vX_[6642] * vX_[1154] + vX_[6641] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[6629] * vX_[1232] + vX_[6635] * vX_[1241] + vX_[6645] * vX_[1240] + vX_[6643] * vX_[1237]) * vX_[41] -
+ (vX_[6629] * vX_[1237] + vX_[6646] * vX_[1240] + vX_[6645] * vX_[1241] + vX_[6639] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[6654] * vX_[1455] + vX_[6658] * vX_[1465] + vX_[6663] * vX_[1466] + vX_[6503] * vX_[1460]) * vX_[15] -
+ (vX_[6654] * vX_[1460] + vX_[6653] * vX_[1466] + vX_[6663] * vX_[1465] + vX_[6662] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[6650] * vX_[1542] + vX_[6656] * vX_[1551] + vX_[6666] * vX_[1550] + vX_[6664] * vX_[1547]) * vX_[14] -
+ (vX_[6650] * vX_[1547] + vX_[6667] * vX_[1550] + vX_[6666] * vX_[1551] + vX_[6660] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[6675] * vX_[1767] + vX_[6679] * vX_[1777] + vX_[6684] * vX_[1778] + vX_[6576] * vX_[1772]) * vX_[10] -
+ (vX_[6675] * vX_[1772] + vX_[6674] * vX_[1778] + vX_[6684] * vX_[1777] + vX_[6683] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[6671] * vX_[1852] + vX_[6677] * vX_[1861] + vX_[6687] * vX_[1860] + vX_[6685] * vX_[1857]) * vX_[5] -
+ (vX_[6671] * vX_[1857] + vX_[6688] * vX_[1860] + vX_[6687] * vX_[1861] + vX_[6681] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[102] =
+ ((vX_[6790] * vX_[995] + vX_[6803] * vX_[1032] + vX_[6808] * vX_[1031] + vX_[6791] * vX_[1000]) * vX_[6] -
+ (vX_[6790] * vX_[1000] + vX_[6789] * vX_[1031] + vX_[6808] * vX_[1032] + vX_[6807] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[6863] * vX_[1304] + vX_[6876] * vX_[1343] + vX_[6881] * vX_[1342] + vX_[6864] * vX_[1309]) * vX_[1858] -
+ (vX_[6863] * vX_[1309] + vX_[6862] * vX_[1342] + vX_[6881] * vX_[1343] + vX_[6880] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[6936] * vX_[1616] + vX_[6949] * vX_[1653] + vX_[6954] * vX_[1652] + vX_[6937] * vX_[1621]) * vX_[47] -
+ (vX_[6936] * vX_[1621] + vX_[6935] * vX_[1652] + vX_[6954] * vX_[1653] + vX_[6953] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[7009] * vX_[1930] + vX_[7022] * vX_[1969] + vX_[7027] * vX_[1968] + vX_[7010] * vX_[1935]) * vX_[42] -
+ (vX_[7009] * vX_[1935] + vX_[7008] * vX_[1968] + vX_[7027] * vX_[1969] + vX_[7026] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[7031] * vX_[830] + vX_[7035] * vX_[840] + vX_[7040] * vX_[841] + vX_[6776] * vX_[835]) * vX_[46] -
+ (vX_[7031] * vX_[835] + vX_[7030] * vX_[841] + vX_[7040] * vX_[840] + vX_[7039] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[7024] * vX_[915] + vX_[7033] * vX_[924] + vX_[7043] * vX_[923] + vX_[7041] * vX_[920]) * vX_[44] -
+ (vX_[7024] * vX_[920] + vX_[7044] * vX_[923] + vX_[7043] * vX_[924] + vX_[7037] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[7052] * vX_[1144] + vX_[7056] * vX_[1154] + vX_[7061] * vX_[1155] + vX_[6849] * vX_[1149]) * vX_[43] -
+ (vX_[7052] * vX_[1149] + vX_[7051] * vX_[1155] + vX_[7061] * vX_[1154] + vX_[7060] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[7048] * vX_[1232] + vX_[7054] * vX_[1241] + vX_[7064] * vX_[1240] + vX_[7062] * vX_[1237]) * vX_[41] -
+ (vX_[7048] * vX_[1237] + vX_[7065] * vX_[1240] + vX_[7064] * vX_[1241] + vX_[7058] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[7073] * vX_[1455] + vX_[7077] * vX_[1465] + vX_[7082] * vX_[1466] + vX_[6922] * vX_[1460]) * vX_[15] -
+ (vX_[7073] * vX_[1460] + vX_[7072] * vX_[1466] + vX_[7082] * vX_[1465] + vX_[7081] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[7069] * vX_[1542] + vX_[7075] * vX_[1551] + vX_[7085] * vX_[1550] + vX_[7083] * vX_[1547]) * vX_[14] -
+ (vX_[7069] * vX_[1547] + vX_[7086] * vX_[1550] + vX_[7085] * vX_[1551] + vX_[7079] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[7094] * vX_[1767] + vX_[7098] * vX_[1777] + vX_[7103] * vX_[1778] + vX_[6995] * vX_[1772]) * vX_[10] -
+ (vX_[7094] * vX_[1772] + vX_[7093] * vX_[1778] + vX_[7103] * vX_[1777] + vX_[7102] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[7090] * vX_[1852] + vX_[7096] * vX_[1861] + vX_[7106] * vX_[1860] + vX_[7104] * vX_[1857]) * vX_[5] -
+ (vX_[7090] * vX_[1857] + vX_[7107] * vX_[1860] + vX_[7106] * vX_[1861] + vX_[7100] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[103] =
+ ((vX_[7217] * vX_[995] + vX_[7230] * vX_[1032] + vX_[7235] * vX_[1031] + vX_[7218] * vX_[1000]) * vX_[6] -
+ (vX_[7217] * vX_[1000] + vX_[7216] * vX_[1031] + vX_[7235] * vX_[1032] + vX_[7234] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[7290] * vX_[1304] + vX_[7303] * vX_[1343] + vX_[7308] * vX_[1342] + vX_[7291] * vX_[1309]) * vX_[1858] -
+ (vX_[7290] * vX_[1309] + vX_[7289] * vX_[1342] + vX_[7308] * vX_[1343] + vX_[7307] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[7363] * vX_[1616] + vX_[7376] * vX_[1653] + vX_[7381] * vX_[1652] + vX_[7364] * vX_[1621]) * vX_[47] -
+ (vX_[7363] * vX_[1621] + vX_[7362] * vX_[1652] + vX_[7381] * vX_[1653] + vX_[7380] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[7436] * vX_[1930] + vX_[7449] * vX_[1969] + vX_[7454] * vX_[1968] + vX_[7437] * vX_[1935]) * vX_[42] -
+ (vX_[7436] * vX_[1935] + vX_[7435] * vX_[1968] + vX_[7454] * vX_[1969] + vX_[7453] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[7458] * vX_[830] + vX_[7462] * vX_[840] + vX_[7467] * vX_[841] + vX_[7203] * vX_[835]) * vX_[46] -
+ (vX_[7458] * vX_[835] + vX_[7457] * vX_[841] + vX_[7467] * vX_[840] + vX_[7466] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[7451] * vX_[915] + vX_[7460] * vX_[924] + vX_[7470] * vX_[923] + vX_[7468] * vX_[920]) * vX_[44] -
+ (vX_[7451] * vX_[920] + vX_[7471] * vX_[923] + vX_[7470] * vX_[924] + vX_[7464] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[7479] * vX_[1144] + vX_[7483] * vX_[1154] + vX_[7488] * vX_[1155] + vX_[7276] * vX_[1149]) * vX_[43] -
+ (vX_[7479] * vX_[1149] + vX_[7478] * vX_[1155] + vX_[7488] * vX_[1154] + vX_[7487] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[7475] * vX_[1232] + vX_[7481] * vX_[1241] + vX_[7491] * vX_[1240] + vX_[7489] * vX_[1237]) * vX_[41] -
+ (vX_[7475] * vX_[1237] + vX_[7492] * vX_[1240] + vX_[7491] * vX_[1241] + vX_[7485] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[7500] * vX_[1455] + vX_[7504] * vX_[1465] + vX_[7509] * vX_[1466] + vX_[7349] * vX_[1460]) * vX_[15] -
+ (vX_[7500] * vX_[1460] + vX_[7499] * vX_[1466] + vX_[7509] * vX_[1465] + vX_[7508] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[7496] * vX_[1542] + vX_[7502] * vX_[1551] + vX_[7512] * vX_[1550] + vX_[7510] * vX_[1547]) * vX_[14] -
+ (vX_[7496] * vX_[1547] + vX_[7513] * vX_[1550] + vX_[7512] * vX_[1551] + vX_[7506] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[7521] * vX_[1767] + vX_[7525] * vX_[1777] + vX_[7530] * vX_[1778] + vX_[7422] * vX_[1772]) * vX_[10] -
+ (vX_[7521] * vX_[1772] + vX_[7520] * vX_[1778] + vX_[7530] * vX_[1777] + vX_[7529] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[7517] * vX_[1852] + vX_[7523] * vX_[1861] + vX_[7533] * vX_[1860] + vX_[7531] * vX_[1857]) * vX_[5] -
+ (vX_[7517] * vX_[1857] + vX_[7534] * vX_[1860] + vX_[7533] * vX_[1861] + vX_[7527] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[104] =
+ ((vX_[7644] * vX_[995] + vX_[7657] * vX_[1032] + vX_[7662] * vX_[1031] + vX_[7645] * vX_[1000]) * vX_[6] -
+ (vX_[7644] * vX_[1000] + vX_[7643] * vX_[1031] + vX_[7662] * vX_[1032] + vX_[7661] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[7717] * vX_[1304] + vX_[7730] * vX_[1343] + vX_[7735] * vX_[1342] + vX_[7718] * vX_[1309]) * vX_[1858] -
+ (vX_[7717] * vX_[1309] + vX_[7716] * vX_[1342] + vX_[7735] * vX_[1343] + vX_[7734] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[7790] * vX_[1616] + vX_[7803] * vX_[1653] + vX_[7808] * vX_[1652] + vX_[7791] * vX_[1621]) * vX_[47] -
+ (vX_[7790] * vX_[1621] + vX_[7789] * vX_[1652] + vX_[7808] * vX_[1653] + vX_[7807] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[7863] * vX_[1930] + vX_[7876] * vX_[1969] + vX_[7881] * vX_[1968] + vX_[7864] * vX_[1935]) * vX_[42] -
+ (vX_[7863] * vX_[1935] + vX_[7862] * vX_[1968] + vX_[7881] * vX_[1969] + vX_[7880] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[7885] * vX_[830] + vX_[7889] * vX_[840] + vX_[7894] * vX_[841] + vX_[7630] * vX_[835]) * vX_[46] -
+ (vX_[7885] * vX_[835] + vX_[7884] * vX_[841] + vX_[7894] * vX_[840] + vX_[7893] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[7878] * vX_[915] + vX_[7887] * vX_[924] + vX_[7897] * vX_[923] + vX_[7895] * vX_[920]) * vX_[44] -
+ (vX_[7878] * vX_[920] + vX_[7898] * vX_[923] + vX_[7897] * vX_[924] + vX_[7891] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[7906] * vX_[1144] + vX_[7910] * vX_[1154] + vX_[7915] * vX_[1155] + vX_[7703] * vX_[1149]) * vX_[43] -
+ (vX_[7906] * vX_[1149] + vX_[7905] * vX_[1155] + vX_[7915] * vX_[1154] + vX_[7914] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[7902] * vX_[1232] + vX_[7908] * vX_[1241] + vX_[7918] * vX_[1240] + vX_[7916] * vX_[1237]) * vX_[41] -
+ (vX_[7902] * vX_[1237] + vX_[7919] * vX_[1240] + vX_[7918] * vX_[1241] + vX_[7912] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[7927] * vX_[1455] + vX_[7931] * vX_[1465] + vX_[7936] * vX_[1466] + vX_[7776] * vX_[1460]) * vX_[15] -
+ (vX_[7927] * vX_[1460] + vX_[7926] * vX_[1466] + vX_[7936] * vX_[1465] + vX_[7935] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[7923] * vX_[1542] + vX_[7929] * vX_[1551] + vX_[7939] * vX_[1550] + vX_[7937] * vX_[1547]) * vX_[14] -
+ (vX_[7923] * vX_[1547] + vX_[7940] * vX_[1550] + vX_[7939] * vX_[1551] + vX_[7933] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[7948] * vX_[1767] + vX_[7952] * vX_[1777] + vX_[7957] * vX_[1778] + vX_[7849] * vX_[1772]) * vX_[10] -
+ (vX_[7948] * vX_[1772] + vX_[7947] * vX_[1778] + vX_[7957] * vX_[1777] + vX_[7956] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[7944] * vX_[1852] + vX_[7950] * vX_[1861] + vX_[7960] * vX_[1860] + vX_[7958] * vX_[1857]) * vX_[5] -
+ (vX_[7944] * vX_[1857] + vX_[7961] * vX_[1860] + vX_[7960] * vX_[1861] + vX_[7954] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[105] =
+ ((vX_[8063] * vX_[995] + vX_[8076] * vX_[1032] + vX_[8081] * vX_[1031] + vX_[8064] * vX_[1000]) * vX_[6] -
+ (vX_[8063] * vX_[1000] + vX_[8062] * vX_[1031] + vX_[8081] * vX_[1032] + vX_[8080] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[8136] * vX_[1304] + vX_[8149] * vX_[1343] + vX_[8154] * vX_[1342] + vX_[8137] * vX_[1309]) * vX_[1858] -
+ (vX_[8136] * vX_[1309] + vX_[8135] * vX_[1342] + vX_[8154] * vX_[1343] + vX_[8153] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[8209] * vX_[1616] + vX_[8222] * vX_[1653] + vX_[8227] * vX_[1652] + vX_[8210] * vX_[1621]) * vX_[47] -
+ (vX_[8209] * vX_[1621] + vX_[8208] * vX_[1652] + vX_[8227] * vX_[1653] + vX_[8226] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[8282] * vX_[1930] + vX_[8295] * vX_[1969] + vX_[8300] * vX_[1968] + vX_[8283] * vX_[1935]) * vX_[42] -
+ (vX_[8282] * vX_[1935] + vX_[8281] * vX_[1968] + vX_[8300] * vX_[1969] + vX_[8299] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[8304] * vX_[830] + vX_[8308] * vX_[840] + vX_[8313] * vX_[841] + vX_[8049] * vX_[835]) * vX_[46] -
+ (vX_[8304] * vX_[835] + vX_[8303] * vX_[841] + vX_[8313] * vX_[840] + vX_[8312] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[8297] * vX_[915] + vX_[8306] * vX_[924] + vX_[8316] * vX_[923] + vX_[8314] * vX_[920]) * vX_[44] -
+ (vX_[8297] * vX_[920] + vX_[8317] * vX_[923] + vX_[8316] * vX_[924] + vX_[8310] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[8325] * vX_[1144] + vX_[8329] * vX_[1154] + vX_[8334] * vX_[1155] + vX_[8122] * vX_[1149]) * vX_[43] -
+ (vX_[8325] * vX_[1149] + vX_[8324] * vX_[1155] + vX_[8334] * vX_[1154] + vX_[8333] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[8321] * vX_[1232] + vX_[8327] * vX_[1241] + vX_[8337] * vX_[1240] + vX_[8335] * vX_[1237]) * vX_[41] -
+ (vX_[8321] * vX_[1237] + vX_[8338] * vX_[1240] + vX_[8337] * vX_[1241] + vX_[8331] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[8346] * vX_[1455] + vX_[8350] * vX_[1465] + vX_[8355] * vX_[1466] + vX_[8195] * vX_[1460]) * vX_[15] -
+ (vX_[8346] * vX_[1460] + vX_[8345] * vX_[1466] + vX_[8355] * vX_[1465] + vX_[8354] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[8342] * vX_[1542] + vX_[8348] * vX_[1551] + vX_[8358] * vX_[1550] + vX_[8356] * vX_[1547]) * vX_[14] -
+ (vX_[8342] * vX_[1547] + vX_[8359] * vX_[1550] + vX_[8358] * vX_[1551] + vX_[8352] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[8367] * vX_[1767] + vX_[8371] * vX_[1777] + vX_[8376] * vX_[1778] + vX_[8268] * vX_[1772]) * vX_[10] -
+ (vX_[8367] * vX_[1772] + vX_[8366] * vX_[1778] + vX_[8376] * vX_[1777] + vX_[8375] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[8363] * vX_[1852] + vX_[8369] * vX_[1861] + vX_[8379] * vX_[1860] + vX_[8377] * vX_[1857]) * vX_[5] -
+ (vX_[8363] * vX_[1857] + vX_[8380] * vX_[1860] + vX_[8379] * vX_[1861] + vX_[8373] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[106] =
+ ((vX_[8492] * vX_[995] + vX_[8505] * vX_[1032] + vX_[8510] * vX_[1031] + vX_[8493] * vX_[1000]) * vX_[6] -
+ (vX_[8492] * vX_[1000] + vX_[8491] * vX_[1031] + vX_[8510] * vX_[1032] + vX_[8509] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[8565] * vX_[1304] + vX_[8578] * vX_[1343] + vX_[8583] * vX_[1342] + vX_[8566] * vX_[1309]) * vX_[1858] -
+ (vX_[8565] * vX_[1309] + vX_[8564] * vX_[1342] + vX_[8583] * vX_[1343] + vX_[8582] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[8638] * vX_[1616] + vX_[8651] * vX_[1653] + vX_[8656] * vX_[1652] + vX_[8639] * vX_[1621]) * vX_[47] -
+ (vX_[8638] * vX_[1621] + vX_[8637] * vX_[1652] + vX_[8656] * vX_[1653] + vX_[8655] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[8711] * vX_[1930] + vX_[8724] * vX_[1969] + vX_[8729] * vX_[1968] + vX_[8712] * vX_[1935]) * vX_[42] -
+ (vX_[8711] * vX_[1935] + vX_[8710] * vX_[1968] + vX_[8729] * vX_[1969] + vX_[8728] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[8733] * vX_[830] + vX_[8737] * vX_[840] + vX_[8742] * vX_[841] + vX_[8478] * vX_[835]) * vX_[46] -
+ (vX_[8733] * vX_[835] + vX_[8732] * vX_[841] + vX_[8742] * vX_[840] + vX_[8741] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[8726] * vX_[915] + vX_[8735] * vX_[924] + vX_[8745] * vX_[923] + vX_[8743] * vX_[920]) * vX_[44] -
+ (vX_[8726] * vX_[920] + vX_[8746] * vX_[923] + vX_[8745] * vX_[924] + vX_[8739] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[8754] * vX_[1144] + vX_[8758] * vX_[1154] + vX_[8763] * vX_[1155] + vX_[8551] * vX_[1149]) * vX_[43] -
+ (vX_[8754] * vX_[1149] + vX_[8753] * vX_[1155] + vX_[8763] * vX_[1154] + vX_[8762] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[8750] * vX_[1232] + vX_[8756] * vX_[1241] + vX_[8766] * vX_[1240] + vX_[8764] * vX_[1237]) * vX_[41] -
+ (vX_[8750] * vX_[1237] + vX_[8767] * vX_[1240] + vX_[8766] * vX_[1241] + vX_[8760] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[8775] * vX_[1455] + vX_[8779] * vX_[1465] + vX_[8784] * vX_[1466] + vX_[8624] * vX_[1460]) * vX_[15] -
+ (vX_[8775] * vX_[1460] + vX_[8774] * vX_[1466] + vX_[8784] * vX_[1465] + vX_[8783] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[8771] * vX_[1542] + vX_[8777] * vX_[1551] + vX_[8787] * vX_[1550] + vX_[8785] * vX_[1547]) * vX_[14] -
+ (vX_[8771] * vX_[1547] + vX_[8788] * vX_[1550] + vX_[8787] * vX_[1551] + vX_[8781] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[8796] * vX_[1767] + vX_[8800] * vX_[1777] + vX_[8805] * vX_[1778] + vX_[8697] * vX_[1772]) * vX_[10] -
+ (vX_[8796] * vX_[1772] + vX_[8795] * vX_[1778] + vX_[8805] * vX_[1777] + vX_[8804] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[8792] * vX_[1852] + vX_[8798] * vX_[1861] + vX_[8808] * vX_[1860] + vX_[8806] * vX_[1857]) * vX_[5] -
+ (vX_[8792] * vX_[1857] + vX_[8809] * vX_[1860] + vX_[8808] * vX_[1861] + vX_[8802] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[107] =
+ ((vX_[8921] * vX_[995] + vX_[8934] * vX_[1032] + vX_[1002] * vX_[1031] + vX_[8922] * vX_[1000]) * vX_[6] -
+ (vX_[8921] * vX_[1000] + vX_[8920] * vX_[1031] + vX_[1002] * vX_[1032] + vX_[8938] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[8985] * vX_[1304] + vX_[8998] * vX_[1343] + vX_[1311] * vX_[1342] + vX_[8986] * vX_[1309]) * vX_[1858] -
+ (vX_[8985] * vX_[1309] + vX_[8984] * vX_[1342] + vX_[1311] * vX_[1343] + vX_[9002] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[9049] * vX_[1616] + vX_[9062] * vX_[1653] + vX_[1623] * vX_[1652] + vX_[9050] * vX_[1621]) * vX_[47] -
+ (vX_[9049] * vX_[1621] + vX_[9048] * vX_[1652] + vX_[1623] * vX_[1653] + vX_[9066] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[9113] * vX_[1930] + vX_[9126] * vX_[1969] + vX_[1937] * vX_[1968] + vX_[9114] * vX_[1935]) * vX_[42] -
+ (vX_[9113] * vX_[1935] + vX_[9112] * vX_[1968] + vX_[1937] * vX_[1969] + vX_[9130] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[1938] * vX_[830] + vX_[9128] * vX_[840] + vX_[909] * vX_[841] + vX_[8907] * vX_[835]) * vX_[46] -
+ (vX_[1938] * vX_[835] + vX_[1974] * vX_[841] + vX_[909] * vX_[840] + vX_[9132] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[1971] * vX_[915] + vX_[1932] * vX_[924] + vX_[946] * vX_[923] + vX_[844] * vX_[920]) * vX_[44] -
+ (vX_[1971] * vX_[920] + vX_[950] * vX_[923] + vX_[946] * vX_[924] + vX_[947] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[925] * vX_[1144] + vX_[832] * vX_[1154] + vX_[1226] * vX_[1155] + vX_[8971] * vX_[1149]) * vX_[43] -
+ (vX_[925] * vX_[1149] + vX_[936] * vX_[1155] + vX_[1226] * vX_[1154] + vX_[876] * vX_[1144]) * vX_[1145]) *
+ 0.5 +
+ ((vX_[926] * vX_[1232] + vX_[917] * vX_[1241] + vX_[1257] * vX_[1240] + vX_[1158] * vX_[1237]) * vX_[41] -
+ (vX_[926] * vX_[1237] + vX_[1261] * vX_[1240] + vX_[1257] * vX_[1241] + vX_[1258] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[1242] * vX_[1455] + vX_[1146] * vX_[1465] + vX_[1536] * vX_[1466] + vX_[9035] * vX_[1460]) * vX_[15] -
+ (vX_[1242] * vX_[1460] + vX_[1251] * vX_[1466] + vX_[1536] * vX_[1465] + vX_[1193] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[1243] * vX_[1542] + vX_[1234] * vX_[1551] + vX_[1569] * vX_[1550] + vX_[1469] * vX_[1547]) * vX_[14] -
+ (vX_[1243] * vX_[1547] + vX_[1573] * vX_[1550] + vX_[1569] * vX_[1551] + vX_[1570] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[1552] * vX_[1767] + vX_[1457] * vX_[1777] + vX_[1846] * vX_[1778] + vX_[9099] * vX_[1772]) * vX_[10] -
+ (vX_[1552] * vX_[1772] + vX_[1561] * vX_[1778] + vX_[1846] * vX_[1777] + vX_[1503] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[1553] * vX_[1852] + vX_[1544] * vX_[1861] + vX_[1882] * vX_[1860] + vX_[1781] * vX_[1857]) * vX_[5] -
+ (vX_[1553] * vX_[1857] + vX_[1886] * vX_[1860] + vX_[1882] * vX_[1861] + vX_[1883] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ vX_[1882] = cos(vX_[2916]);
+ vX_[2916] = sin(vX_[2916]);
+ jac[93] =
+ ((vX_[2923] * vX_[2929] + vX_[2933] * vX_[2915] + vX_[2935] * vX_[2920] + vX_[2927] * vX_[2930]) * vX_[1882] -
+ (vX_[2923] * vX_[2930] + vX_[2932] * vX_[2920] + vX_[2935] * vX_[2915] + vX_[2926] * vX_[2929]) *
+ vX_[2916]) *
+ 0.5 +
+ ((vX_[3019] * vX_[995] + vX_[3032] * vX_[1032] + vX_[3037] * vX_[1031] + vX_[3020] * vX_[1000]) * vX_[6] -
+ (vX_[3019] * vX_[1000] + vX_[3018] * vX_[1031] + vX_[3037] * vX_[1032] + vX_[3036] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[3092] * vX_[1304] + vX_[3105] * vX_[1343] + vX_[3110] * vX_[1342] + vX_[3093] * vX_[1309]) * vX_[1858] -
+ (vX_[3092] * vX_[1309] + vX_[3091] * vX_[1342] + vX_[3110] * vX_[1343] + vX_[3109] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[3165] * vX_[1616] + vX_[3178] * vX_[1653] + vX_[3183] * vX_[1652] + vX_[3166] * vX_[1621]) * vX_[47] -
+ (vX_[3165] * vX_[1621] + vX_[3164] * vX_[1652] + vX_[3183] * vX_[1653] + vX_[3182] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[3238] * vX_[1930] + vX_[3251] * vX_[1969] + vX_[3256] * vX_[1968] + vX_[3239] * vX_[1935]) * vX_[42] -
+ (vX_[3238] * vX_[1935] + vX_[3237] * vX_[1968] + vX_[3256] * vX_[1969] + vX_[3255] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[3260] * vX_[830] + vX_[3264] * vX_[840] + vX_[3269] * vX_[841] + vX_[3005] * vX_[835]) * vX_[46] -
+ (vX_[3260] * vX_[835] + vX_[3259] * vX_[841] + vX_[3269] * vX_[840] + vX_[3268] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[3253] * vX_[915] + vX_[3262] * vX_[924] + vX_[3272] * vX_[923] + vX_[3270] * vX_[920]) * vX_[44] -
+ (vX_[3253] * vX_[920] + vX_[3273] * vX_[923] + vX_[3272] * vX_[924] + vX_[3266] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[3281] * vX_[1144] + vX_[3285] * vX_[1154] + vX_[3290] * vX_[1155] + vX_[3078] * vX_[1149]) * vX_[43] -
+ (vX_[3281] * vX_[1149] + vX_[3280] * vX_[1155] + vX_[3290] * vX_[1154] + vX_[3289] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[3277] * vX_[1232] + vX_[3283] * vX_[1241] + vX_[3293] * vX_[1240] + vX_[3291] * vX_[1237]) * vX_[41] -
+ (vX_[3277] * vX_[1237] + vX_[3294] * vX_[1240] + vX_[3293] * vX_[1241] + vX_[3287] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[3302] * vX_[1455] + vX_[3306] * vX_[1465] + vX_[3311] * vX_[1466] + vX_[3151] * vX_[1460]) * vX_[15] -
+ (vX_[3302] * vX_[1460] + vX_[3301] * vX_[1466] + vX_[3311] * vX_[1465] + vX_[3310] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[3298] * vX_[1542] + vX_[3304] * vX_[1551] + vX_[3314] * vX_[1550] + vX_[3312] * vX_[1547]) * vX_[14] -
+ (vX_[3298] * vX_[1547] + vX_[3315] * vX_[1550] + vX_[3314] * vX_[1551] + vX_[3308] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[3323] * vX_[1767] + vX_[3327] * vX_[1777] + vX_[3332] * vX_[1778] + vX_[3224] * vX_[1772]) * vX_[10] -
+ (vX_[3323] * vX_[1772] + vX_[3322] * vX_[1778] + vX_[3332] * vX_[1777] + vX_[3331] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[3319] * vX_[1852] + vX_[3325] * vX_[1861] + vX_[3335] * vX_[1860] + vX_[3333] * vX_[1857]) * vX_[5] -
+ (vX_[3319] * vX_[1857] + vX_[3336] * vX_[1860] + vX_[3335] * vX_[1861] + vX_[3329] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[94] =
+ ((vX_[3338] * vX_[2929] + vX_[3343] * vX_[2915] + vX_[2931] * vX_[2920] + vX_[3341] * vX_[2930]) * vX_[1882] -
+ (vX_[3338] * vX_[2930] + vX_[2934] * vX_[2920] + vX_[2931] * vX_[2915] + vX_[3340] * vX_[2929]) *
+ vX_[2916]) *
+ 0.5 +
+ ((vX_[3425] * vX_[995] + vX_[3438] * vX_[1032] + vX_[3443] * vX_[1031] + vX_[3426] * vX_[1000]) * vX_[6] -
+ (vX_[3425] * vX_[1000] + vX_[3424] * vX_[1031] + vX_[3443] * vX_[1032] + vX_[3442] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[3498] * vX_[1304] + vX_[3511] * vX_[1343] + vX_[3516] * vX_[1342] + vX_[3499] * vX_[1309]) * vX_[1858] -
+ (vX_[3498] * vX_[1309] + vX_[3497] * vX_[1342] + vX_[3516] * vX_[1343] + vX_[3515] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[3571] * vX_[1616] + vX_[3584] * vX_[1653] + vX_[3589] * vX_[1652] + vX_[3572] * vX_[1621]) * vX_[47] -
+ (vX_[3571] * vX_[1621] + vX_[3570] * vX_[1652] + vX_[3589] * vX_[1653] + vX_[3588] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[3644] * vX_[1930] + vX_[3657] * vX_[1969] + vX_[3662] * vX_[1968] + vX_[3645] * vX_[1935]) * vX_[42] -
+ (vX_[3644] * vX_[1935] + vX_[3643] * vX_[1968] + vX_[3662] * vX_[1969] + vX_[3661] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[3666] * vX_[830] + vX_[3670] * vX_[840] + vX_[3675] * vX_[841] + vX_[3411] * vX_[835]) * vX_[46] -
+ (vX_[3666] * vX_[835] + vX_[3665] * vX_[841] + vX_[3675] * vX_[840] + vX_[3674] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[3659] * vX_[915] + vX_[3668] * vX_[924] + vX_[3678] * vX_[923] + vX_[3676] * vX_[920]) * vX_[44] -
+ (vX_[3659] * vX_[920] + vX_[3679] * vX_[923] + vX_[3678] * vX_[924] + vX_[3672] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[3687] * vX_[1144] + vX_[3691] * vX_[1154] + vX_[3696] * vX_[1155] + vX_[3484] * vX_[1149]) * vX_[43] -
+ (vX_[3687] * vX_[1149] + vX_[3686] * vX_[1155] + vX_[3696] * vX_[1154] + vX_[3695] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[3683] * vX_[1232] + vX_[3689] * vX_[1241] + vX_[3699] * vX_[1240] + vX_[3697] * vX_[1237]) * vX_[41] -
+ (vX_[3683] * vX_[1237] + vX_[3700] * vX_[1240] + vX_[3699] * vX_[1241] + vX_[3693] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[3708] * vX_[1455] + vX_[3712] * vX_[1465] + vX_[3717] * vX_[1466] + vX_[3557] * vX_[1460]) * vX_[15] -
+ (vX_[3708] * vX_[1460] + vX_[3707] * vX_[1466] + vX_[3717] * vX_[1465] + vX_[3716] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[3704] * vX_[1542] + vX_[3710] * vX_[1551] + vX_[3720] * vX_[1550] + vX_[3718] * vX_[1547]) * vX_[14] -
+ (vX_[3704] * vX_[1547] + vX_[3721] * vX_[1550] + vX_[3720] * vX_[1551] + vX_[3714] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[3729] * vX_[1767] + vX_[3733] * vX_[1777] + vX_[3738] * vX_[1778] + vX_[3630] * vX_[1772]) * vX_[10] -
+ (vX_[3729] * vX_[1772] + vX_[3728] * vX_[1778] + vX_[3738] * vX_[1777] + vX_[3737] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[3725] * vX_[1852] + vX_[3731] * vX_[1861] + vX_[3741] * vX_[1860] + vX_[3739] * vX_[1857]) * vX_[5] -
+ (vX_[3725] * vX_[1857] + vX_[3742] * vX_[1860] + vX_[3741] * vX_[1861] + vX_[3735] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ jac[95] =
+ ((vX_[2924] * vX_[2915] + vX_[3339] * vX_[2920]) * vX_[1882] -
+ (vX_[2925] * vX_[2920] + vX_[3339] * vX_[2915]) * vX_[2916]) *
+ 0.5 +
+ ((vX_[3821] * vX_[995] + vX_[3834] * vX_[1032] + vX_[3839] * vX_[1031] + vX_[3822] * vX_[1000]) * vX_[6] -
+ (vX_[3821] * vX_[1000] + vX_[3820] * vX_[1031] + vX_[3839] * vX_[1032] + vX_[3838] * vX_[995]) * vX_[996]) *
+ 0.5 +
+ ((vX_[3894] * vX_[1304] + vX_[3907] * vX_[1343] + vX_[3912] * vX_[1342] + vX_[3895] * vX_[1309]) * vX_[1858] -
+ (vX_[3894] * vX_[1309] + vX_[3893] * vX_[1342] + vX_[3912] * vX_[1343] + vX_[3911] * vX_[1304]) *
+ vX_[1305]) *
+ 0.5 +
+ ((vX_[3967] * vX_[1616] + vX_[3980] * vX_[1653] + vX_[3985] * vX_[1652] + vX_[3968] * vX_[1621]) * vX_[47] -
+ (vX_[3967] * vX_[1621] + vX_[3966] * vX_[1652] + vX_[3985] * vX_[1653] + vX_[3984] * vX_[1616]) *
+ vX_[1617]) *
+ 0.5 +
+ ((vX_[4040] * vX_[1930] + vX_[4053] * vX_[1969] + vX_[4058] * vX_[1968] + vX_[4041] * vX_[1935]) * vX_[42] -
+ (vX_[4040] * vX_[1935] + vX_[4039] * vX_[1968] + vX_[4058] * vX_[1969] + vX_[4057] * vX_[1930]) *
+ vX_[1931]) *
+ 0.5 +
+ ((vX_[4062] * vX_[830] + vX_[4066] * vX_[840] + vX_[4071] * vX_[841] + vX_[3807] * vX_[835]) * vX_[46] -
+ (vX_[4062] * vX_[835] + vX_[4061] * vX_[841] + vX_[4071] * vX_[840] + vX_[4070] * vX_[830]) * vX_[831]) *
+ 0.5 +
+ ((vX_[4055] * vX_[915] + vX_[4064] * vX_[924] + vX_[4074] * vX_[923] + vX_[4072] * vX_[920]) * vX_[44] -
+ (vX_[4055] * vX_[920] + vX_[4075] * vX_[923] + vX_[4074] * vX_[924] + vX_[4068] * vX_[915]) * vX_[916]) *
+ 0.5 +
+ ((vX_[4083] * vX_[1144] + vX_[4087] * vX_[1154] + vX_[4092] * vX_[1155] + vX_[3880] * vX_[1149]) * vX_[43] -
+ (vX_[4083] * vX_[1149] + vX_[4082] * vX_[1155] + vX_[4092] * vX_[1154] + vX_[4091] * vX_[1144]) *
+ vX_[1145]) *
+ 0.5 +
+ ((vX_[4079] * vX_[1232] + vX_[4085] * vX_[1241] + vX_[4095] * vX_[1240] + vX_[4093] * vX_[1237]) * vX_[41] -
+ (vX_[4079] * vX_[1237] + vX_[4096] * vX_[1240] + vX_[4095] * vX_[1241] + vX_[4089] * vX_[1232]) *
+ vX_[1233]) *
+ 0.5 +
+ ((vX_[4104] * vX_[1455] + vX_[4108] * vX_[1465] + vX_[4113] * vX_[1466] + vX_[3953] * vX_[1460]) * vX_[15] -
+ (vX_[4104] * vX_[1460] + vX_[4103] * vX_[1466] + vX_[4113] * vX_[1465] + vX_[4112] * vX_[1455]) *
+ vX_[1456]) *
+ 0.5 +
+ ((vX_[4100] * vX_[1542] + vX_[4106] * vX_[1551] + vX_[4116] * vX_[1550] + vX_[4114] * vX_[1547]) * vX_[14] -
+ (vX_[4100] * vX_[1547] + vX_[4117] * vX_[1550] + vX_[4116] * vX_[1551] + vX_[4110] * vX_[1542]) *
+ vX_[1543]) *
+ 0.5 +
+ ((vX_[4125] * vX_[1767] + vX_[4129] * vX_[1777] + vX_[4134] * vX_[1778] + vX_[4026] * vX_[1772]) * vX_[10] -
+ (vX_[4125] * vX_[1772] + vX_[4124] * vX_[1778] + vX_[4134] * vX_[1777] + vX_[4133] * vX_[1767]) *
+ vX_[1768]) *
+ 0.5 +
+ ((vX_[4121] * vX_[1852] + vX_[4127] * vX_[1861] + vX_[4137] * vX_[1860] + vX_[4135] * vX_[1857]) * vX_[5] -
+ (vX_[4121] * vX_[1857] + vX_[4138] * vX_[1860] + vX_[4137] * vX_[1861] + vX_[4131] * vX_[1852]) *
+ vX_[1853]) *
+ 0.5;
+ vX_[2916] = vX_[485] * x_in[19] + vX_[487] * x_in[20];
+ vX_[1882] = vX_[487] * x_in[19] + vX_[473] * x_in[20];
+ vX_[1853] = vX_[2916] * vX_[1882];
+ vX_[5] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[1768] = vX_[2916] * vX_[5];
+ vX_[10] = -1 * x_in[18] + x_in[24];
+ vX_[1543] =
+ vX_[1674] * x_in[19] + vX_[392] * x_in[18] + vX_[1673] * x_in[20] + vX_[1672] * x_in[22] + vX_[1671] * x_in[23];
+ vX_[14] = vX_[10] * vX_[1543];
+ vX_[1456] = vX_[1882] * vX_[10];
+ vX_[15] = vX_[421] * vX_[2916] + vX_[394] * vX_[10];
+ vX_[1233] = -1 * vX_[1882] + x_in[25];
+ vX_[41] = vX_[15] * vX_[1233];
+ vX_[1145] = vX_[1686] * vX_[1543] + vX_[1687] * vX_[1882] + vX_[421] * vX_[5];
+ vX_[43] = vX_[433] * vX_[2916] + vX_[421] * vX_[10];
+ vX_[916] = vX_[421] * vX_[1543] + vX_[439] * vX_[1882] + vX_[394] * vX_[5];
+ vX_[44] = vX_[15] * vX_[1145] - vX_[43] * vX_[916];
+ vX_[831] = vX_[43] * vX_[1233];
+ vX_[46] = vX_[395] * vX_[15] + vX_[397] * vX_[43];
+ vX_[1931] = vX_[1690] * vX_[916] + vX_[1698] * vX_[1233] + vX_[395] * vX_[1145];
+ vX_[42] = vX_[398] * vX_[15] + vX_[395] * vX_[43];
+ vX_[1617] = vX_[395] * vX_[916] + vX_[400] * vX_[1233] + vX_[397] * vX_[1145];
+ vX_[47] = vX_[46] * vX_[1931] - vX_[42] * vX_[1617];
+ vX_[1305] = vX_[1233] + x_in[26];
+ vX_[1858] = vX_[46] * vX_[1305];
+ vX_[996] = vX_[42] * vX_[1305];
+ vX_[6] = 0 - vX_[46];
+ vX_[4137] = vX_[6] * x_in[26];
+ vX_[4127] = vX_[42] * x_in[26];
+ vX_[2082] = vX_[2078] * vX_[1887] + vX_[2090] * vX_[1923] + vX_[2082] * vX_[1919];
+ vX_[2077] = vX_[2081] * vX_[1887] + vX_[2083] * vX_[1923] + vX_[2077] * vX_[1919];
+ vX_[2083] = vX_[42] * vX_[42];
+ vX_[2081] = vX_[46] * vX_[46];
+ vX_[1940] = 0.881 * vX_[47] + 0.1104774 * vX_[1858] + 0.0004405 * vX_[996] + -0.1104774 * vX_[4137] +
+ 0.0004405 * vX_[4127] - vX_[1940] * vX_[2082] - vX_[391] * vX_[2077] -
+ -8.81e-05 * (vX_[2083] + vX_[2081]);
+ vX_[2090] = 0 - vX_[15];
+ vX_[2078] = vX_[2090] * x_in[25];
+ vX_[4138] = vX_[43] * x_in[25];
+ vX_[4135] = 0.47422804 * vX_[41] + 3.146 * vX_[44] + -0.0825825 * vX_[831] + vX_[1940] + vX_[427] * vX_[2078] +
+ vX_[415] * vX_[4138];
+ vX_[4131] = 0 - vX_[2916];
+ vX_[4121] = vX_[4131] * x_in[24];
+ vX_[4134] = vX_[1882] * x_in[24];
+ vX_[4129] =
+ vX_[486] * x_in[19] + vX_[1659] * x_in[18] + vX_[488] * x_in[20] + vX_[1651] * x_in[22] + vX_[473] * x_in[23];
+ vX_[4124] = vX_[4129] * x_in[24];
+ vX_[4026] = 0 - vX_[1543];
+ vX_[4133] = vX_[4026] * x_in[24];
+ vX_[4125] = vX_[2916] * vX_[10];
+ vX_[4116] = vX_[1233] * vX_[1233];
+ vX_[4106] = vX_[15] * vX_[15];
+ vX_[4117] = -0.08 * vX_[10] + -1 * vX_[4129];
+ vX_[4114] = -0.35 * vX_[43] + vX_[4117];
+ vX_[4110] = vX_[42] * vX_[4114] - vX_[1305] * vX_[1931];
+ vX_[4100] = vX_[1931] * x_in[26];
+ vX_[2089] = vX_[2084] * vX_[1887] + vX_[2079] * vX_[1923] + vX_[2089] * vX_[1919];
+ vX_[2079] = vX_[1761] * vX_[2089] - vX_[1747] * vX_[2082];
+ vX_[1761] = vX_[1911] * vX_[2082] - vX_[1761] * vX_[2077];
+ vX_[1911] = vX_[1747] * vX_[2077] - vX_[1911] * vX_[2089];
+ vX_[1955] = -8.81e-05 * vX_[4110] + -8.81e-05 * vX_[4100] + 0.026409 * vX_[4137] - vX_[1704] * vX_[2079] -
+ vX_[1749] * vX_[1761] - vX_[1739] * vX_[1911] - vX_[1899] * vX_[2089] - vX_[1723] * vX_[2077] -
+ vX_[1955] * vX_[2082] - 0.1104774 * vX_[47] - 0.025713 * vX_[1858];
+ vX_[1704] = vX_[46] * vX_[4114];
+ vX_[1899] = vX_[1305] * vX_[1617];
+ vX_[1739] = 0 - vX_[1617];
+ vX_[1723] = vX_[1739] * x_in[26];
+ vX_[47] = 0.0004405 * vX_[47] + -8.81e-05 * (vX_[1704] - vX_[1899]) + -0.000227999999999999 * vX_[996] +
+ 8.81e-05 * vX_[1723] + 0.000468 * vX_[4127] - vX_[1708] * vX_[2079] - vX_[1753] * vX_[1761] -
+ vX_[1743] * vX_[1911] - vX_[1904] * vX_[2089] - vX_[1732] * vX_[2077] - vX_[1963] * vX_[2082];
+ vX_[1963] = vX_[1145] * x_in[25];
+ vX_[1708] = 0 - vX_[916];
+ vX_[1904] = vX_[1708] * x_in[25];
+ vX_[1753] = vX_[1233] * vX_[916];
+ vX_[1743] = vX_[15] * vX_[4117];
+ vX_[1732] = vX_[15] * vX_[43];
+ vX_[1747] = vX_[46] * vX_[42];
+ vX_[1947] = 0.1104774 * (vX_[1899] - vX_[1704]) + 0.025941 * vX_[1747] - vX_[1734] * vX_[1911] -
+ vX_[391] * vX_[2079] - vX_[1893] * vX_[2089] - vX_[1714] * vX_[2077] - vX_[1947] * vX_[2082] -
+ 0.0004405 * vX_[4110];
+ vX_[1893] = x_in[38] - vX_[1947];
+ vX_[1734] = vX_[1305] * vX_[1305];
+ vX_[4110] = 0.881 * vX_[4110] + -8.81e-05 * vX_[1858] + 0.0004405 * vX_[1747] + 0.880992588508842 * vX_[4100] +
+ -8.81e-05 * vX_[4137] + 0.00185880198235362 * vX_[1723] + (-0.0004405 * vX_[1893]) / 0.026181 -
+ vX_[1710] * vX_[2077] - vX_[1752] * vX_[2089] - vX_[1742] * vX_[2082] -
+ 0.1104774 * (vX_[1734] + vX_[2083]);
+ vX_[1734] = -0.881 * (vX_[1704] - vX_[1899]) + 0.1104774 * vX_[1747] + -8.81e-05 * vX_[996] +
+ 0.00185880198235362 * vX_[4100] + 8.81e-05 * vX_[4127] + 0.414812462825713 * vX_[1723] +
+ (0.1104774 * vX_[1893]) / 0.026181 - vX_[1705] * vX_[2077] - vX_[1749] * vX_[2089] -
+ vX_[1737] * vX_[2082] - 0.0004405 * (vX_[1734] + vX_[2081]);
+ vX_[1747] = vX_[43] * vX_[4117] - vX_[1233] * vX_[1145];
+ vX_[1723] = vX_[43] * vX_[43];
+ vX_[1893] = 0.47422804 * (vX_[1753] - vX_[1743]) + 0.081641 * vX_[1732] + 2.1e-05 * vX_[41] +
+ (0.026181 * vX_[1893]) / 0.026181 + vX_[1947] + vX_[400] * vX_[4110] + vX_[1698] * vX_[1734] -
+ -0.0825825 * vX_[1747] - 0.000102 * vX_[831] - 0.007418 * (vX_[1723] - vX_[4106]);
+ vX_[1947] = x_in[37] - vX_[1893];
+ vX_[1899] = (vX_[424] * vX_[1947]) / vX_[418];
+ vX_[1940] = 0.007418 * vX_[831] + 0.000102 * (vX_[4116] - vX_[4106]) + vX_[395] * vX_[1955] + vX_[397] * vX_[47] +
+ -0.35 * vX_[1940] + vX_[458] * vX_[2078] + vX_[464] * vX_[4138] + vX_[425] * vX_[1963] +
+ vX_[431] * vX_[1904] + vX_[1899] - 0.47422804 * vX_[44] - 0.084376 * vX_[41] - 2.1e-05 * vX_[1732];
+ vX_[1704] = (vX_[406] * vX_[1947]) / vX_[418];
+ vX_[831] = 0.002735 * vX_[831] + -0.0825825 * vX_[44] + 0.000102 * vX_[1732] + vX_[398] * vX_[1955] +
+ vX_[395] * vX_[47] + vX_[464] * vX_[2078] + vX_[460] * vX_[4138] + vX_[420] * vX_[1963] +
+ vX_[430] * vX_[1904] + vX_[1704] - 0.007418 * vX_[41] - 2.1e-05 * (vX_[4116] - vX_[1723]);
+ vX_[44] = vX_[1882] * vX_[1882];
+ vX_[41] = vX_[2916] * vX_[2916];
+ vX_[4100] = 0.009466 * vX_[1853] + 0.1466472 * (vX_[14] - vX_[1768]) + -5.1e-05 * vX_[4125] + vX_[421] * vX_[1940] +
+ vX_[394] * vX_[831] + -0.08 * vX_[4135] - -0.022734 * vX_[1456] - -3.6e-05 * (vX_[44] - vX_[41]);
+ vX_[2081] = x_in[36] - vX_[4100];
+ vX_[4127] = (vX_[444] * vX_[2081]) / vX_[470];
+ vX_[4135] = 0.1466472 * vX_[1853] + -3.44 * (vX_[1768] - vX_[14]) + 0.5824264 * vX_[1456] + -1 * vX_[4135] +
+ vX_[605] * vX_[4121] + vX_[553] * vX_[4134] + vX_[472] * vX_[4124] + vX_[475] * vX_[4133] + vX_[4127];
+ vX_[996] = vX_[1706] * 0.881 + (0 - vX_[1711]) * 0.0004405 + vX_[1715] * -8.81e-05;
+ vX_[1737] = vX_[1699] * -0.881;
+ vX_[1749] = vX_[1711] * 0.1104774;
+ vX_[1705] = vX_[1724] * -8.81e-05;
+ vX_[2083] = vX_[1737] - vX_[1749] + vX_[1705];
+ vX_[4137] = vX_[996] * vX_[42] + vX_[2083] * vX_[46];
+ vX_[1858] = vX_[1689] * 3.146 + (0 - vX_[1691]) * -0.0825825;
+ vX_[1742] = vX_[1688] * -3.146;
+ vX_[1752] = vX_[1691] * 0.47422804;
+ vX_[1710] = vX_[1742] - vX_[1752];
+ vX_[1714] = vX_[4137] + vX_[1858] * vX_[43] + vX_[1710] * vX_[15];
+ vX_[2084] = vX_[1675] * 3.44 + vX_[1678] * 0.5824264;
+ vX_[1919] = 0 - vX_[2084];
+ vX_[1923] = vX_[1668] * 3.44 + (0 - vX_[1678]) * 0.1466472;
+ vX_[1887] = vX_[1668] * vX_[490] + vX_[1666] * vX_[472] + vX_[1675] * vX_[481] + vX_[1678] * vX_[554] +
+ vX_[1680] * vX_[608];
+ vX_[4113] = vX_[1714] * -1 + vX_[1919] * vX_[10] + vX_[1923] * vX_[2916] + vX_[1887] * x_in[24];
+ vX_[4108] = x_in[20] * x_in[21];
+ vX_[4103] = x_in[18] * x_in[23];
+ vX_[3953] = x_in[18] * x_in[19];
+ vX_[4112] = x_in[18] * x_in[20];
+ vX_[4104] = vX_[1] * x_in[19] + vX_[126] * x_in[20];
+ vX_[4095] = 0.207 * x_in[20] + x_in[21];
+ vX_[4085] = x_in[18] + x_in[33];
+ vX_[4096] =
+ vX_[138] * x_in[19] + vX_[706] * x_in[18] + vX_[140] * x_in[20] + vX_[1] * x_in[22] + vX_[126] * x_in[23];
+ vX_[4093] = vX_[4104] * vX_[4095] - vX_[4085] * vX_[4096];
+ vX_[4089] = vX_[4104] * vX_[4085];
+ vX_[4079] = vX_[4085] * vX_[4085];
+ vX_[4092] = vX_[126] * x_in[19] + vX_[139] * x_in[20];
+ vX_[4087] = vX_[4092] * vX_[4092];
+ vX_[4082] = vX_[4104] + x_in[34];
+ vX_[3880] =
+ vX_[727] * x_in[19] + vX_[27] * x_in[18] + vX_[728] * x_in[20] + vX_[126] * x_in[22] + vX_[729] * x_in[23];
+ vX_[4091] = vX_[75] * vX_[3880] + vX_[93] * vX_[4104] + vX_[754] * vX_[4095];
+ vX_[4083] = vX_[4082] * vX_[4091];
+ vX_[4074] = vX_[75] * vX_[4092] + vX_[4] * vX_[4085];
+ vX_[4064] = 0.08 * vX_[4085] + vX_[4096];
+ vX_[4075] = vX_[4074] * vX_[4064];
+ vX_[4072] = vX_[4] * vX_[4092] + vX_[76] * vX_[4085];
+ vX_[4068] = vX_[4074] * vX_[4072];
+ vX_[4055] = vX_[4074] * vX_[4082];
+ vX_[4071] = vX_[4082] + x_in[35];
+ vX_[4066] = vX_[751] * vX_[3880] + vX_[752] * vX_[4104] + vX_[750] * vX_[4095];
+ vX_[4061] = vX_[7] * vX_[4091] + vX_[54] * vX_[4082] + vX_[51] * vX_[4066];
+ vX_[3807] = vX_[4071] * vX_[4061];
+ vX_[4070] = vX_[7] * vX_[4074] + vX_[51] * vX_[4072];
+ vX_[4062] = -0.35 * vX_[4072] + vX_[4064];
+ vX_[4058] = vX_[4070] * vX_[4062];
+ vX_[4053] = vX_[52] * vX_[4074] + vX_[7] * vX_[4072];
+ vX_[4039] = vX_[4070] * vX_[4053];
+ vX_[1975] = vX_[1985] * vX_[951] + vX_[1987] * vX_[988] + vX_[1975] * vX_[984];
+ vX_[1993] = vX_[1988] * vX_[951] + vX_[1983] * vX_[988] + vX_[1993] * vX_[984];
+ vX_[1983] = vX_[810] * vX_[1975] - vX_[975] * vX_[1993];
+ vX_[1986] = vX_[1982] * vX_[951] + vX_[1994] * vX_[988] + vX_[1986] * vX_[984];
+ vX_[810] = vX_[824] * vX_[1993] - vX_[810] * vX_[1986];
+ vX_[1994] = vX_[756] * vX_[4091] + vX_[764] * vX_[4082] + vX_[7] * vX_[4066];
+ vX_[1982] = vX_[4053] * vX_[4062] - vX_[4071] * vX_[1994];
+ vX_[1010] = 0.1104774 * (vX_[3807] - vX_[4058]) + 0.025941 * vX_[4039] - vX_[126] * vX_[1983] - vX_[1] * vX_[810] -
+ vX_[957] * vX_[1993] - vX_[780] * vX_[1975] - vX_[1010] * vX_[1986] - -0.0004405 * vX_[1982];
+ vX_[957] = x_in[47] - vX_[1010];
+ vX_[780] = vX_[4070] * vX_[4071];
+ vX_[984] = vX_[1994] * x_in[35];
+ vX_[988] = 0 - vX_[4070];
+ vX_[951] = vX_[988] * x_in[35];
+ vX_[1988] = 0 - vX_[4061];
+ vX_[1987] = vX_[1988] * x_in[35];
+ vX_[1985] = vX_[4071] * vX_[4071];
+ vX_[4041] = vX_[4053] * vX_[4053];
+ vX_[805] = 0.881 * vX_[1982] + 8.81e-05 * vX_[780] + -0.0004405 * vX_[4039] + 0.880992588508842 * vX_[984] +
+ 8.81e-05 * vX_[951] + -0.00185880198235362 * vX_[1987] + (0.0004405 * vX_[957]) / 0.026181 -
+ vX_[776] * vX_[1975] - vX_[815] * vX_[1993] - vX_[805] * vX_[1986] - 0.1104774 * (vX_[1985] + vX_[4041]);
+ vX_[815] = vX_[4053] * vX_[4071];
+ vX_[776] = vX_[4053] * x_in[35];
+ vX_[4057] = vX_[4070] * vX_[4070];
+ vX_[1985] = -0.881 * (vX_[4058] - vX_[3807]) + 0.1104774 * vX_[4039] + 8.81e-05 * vX_[815] +
+ -0.00185880198235362 * vX_[984] + -8.81e-05 * vX_[776] + 0.414812462825713 * vX_[1987] +
+ (0.1104774 * vX_[957]) / 0.026181 - vX_[771] * vX_[1975] - vX_[812] * vX_[1993] - vX_[801] * vX_[1986] -
+ -0.0004405 * (vX_[1985] + vX_[4057]);
+ vX_[4039] = vX_[4072] * vX_[4064] - vX_[4082] * vX_[4066];
+ vX_[801] = vX_[4072] * vX_[4082];
+ vX_[771] = vX_[4072] * vX_[4072];
+ vX_[4040] = vX_[4074] * vX_[4074];
+ vX_[957] = 0.47422804 * (vX_[4083] - vX_[4075]) + 0.081641 * vX_[4068] + 2.1e-05 * vX_[4055] +
+ (0.026181 * vX_[957]) / 0.026181 + vX_[1010] + vX_[54] * vX_[805] + vX_[764] * vX_[1985] -
+ 0.0825825 * vX_[4039] - -0.000102 * vX_[801] - -0.007418 * (vX_[771] - vX_[4040]);
+ vX_[1010] = x_in[46] - vX_[957];
+ vX_[3985] = (vX_[72] * vX_[1010]) / vX_[72];
+ vX_[3980] = 0 - vX_[4074];
+ vX_[3966] = vX_[3980] * x_in[34];
+ vX_[3968] = vX_[4072] * x_in[34];
+ vX_[3984] = vX_[4066] * x_in[34];
+ vX_[3967] = 0 - vX_[4091];
+ vX_[3912] = vX_[3967] * x_in[34];
+ vX_[3907] = (vX_[70] * vX_[1010]) / vX_[72];
+ vX_[3893] = vX_[4082] * vX_[4082];
+ vX_[4039] = 3.146 * vX_[4039] + 0.0825825 * vX_[4068] + vX_[756] * vX_[1985] + vX_[7] * vX_[805] +
+ vX_[80] * vX_[3966] + vX_[74] * vX_[3968] + vX_[101] * vX_[3984] + vX_[102] * vX_[3912] + vX_[3907] -
+ 0.47422804 * (vX_[3893] + vX_[771]);
+ vX_[3895] = (vX_[83] * vX_[1010]) / vX_[72];
+ vX_[4075] = -3.146 * (vX_[4075] - vX_[4083]) + 0.47422804 * vX_[4068] + vX_[7] * vX_[1985] + vX_[51] * vX_[805] +
+ vX_[86] * vX_[3966] + vX_[85] * vX_[3968] + vX_[102] * vX_[3984] + vX_[100] * vX_[3912] + vX_[3895] -
+ 0.0825825 * (vX_[3893] + vX_[4040]);
+ vX_[4083] = 0 - vX_[4092];
+ vX_[3911] = vX_[4083] * x_in[33];
+ vX_[3894] = vX_[4104] * x_in[33];
+ vX_[3839] = vX_[4096] * x_in[33];
+ vX_[3834] = 0 - vX_[3880];
+ vX_[3820] = vX_[3834] * x_in[33];
+ vX_[3822] = vX_[4092] * vX_[4104];
+ vX_[3838] = vX_[4085] * vX_[3880];
+ vX_[3821] = vX_[4092] * vX_[4095];
+ vX_[3339] = vX_[4092] * vX_[4085];
+ vX_[975] = vX_[975] * vX_[1986] - vX_[824] * vX_[1975];
+ vX_[824] = vX_[4070] * vX_[1994] - vX_[4053] * vX_[4061];
+ vX_[984] = 8.81e-05 * vX_[1982] + 8.81e-05 * vX_[984] + 0.026409 * vX_[951] - vX_[770] * vX_[810] -
+ vX_[812] * vX_[975] - vX_[803] * vX_[1983] - vX_[963] * vX_[1993] - vX_[789] * vX_[1975] -
+ vX_[1018] * vX_[1986] - 0.1104774 * vX_[824] - 0.025713 * vX_[780];
+ vX_[1987] = -0.0004405 * vX_[824] + 8.81e-05 * (vX_[4058] - vX_[3807]) + -0.000227999999999999 * vX_[815] +
+ -8.81e-05 * vX_[1987] + 0.000468 * vX_[776] - vX_[775] * vX_[810] - vX_[816] * vX_[975] -
+ vX_[806] * vX_[1983] - vX_[968] * vX_[1993] - vX_[797] * vX_[1975] - vX_[1026] * vX_[1986];
+ vX_[824] = 0.881 * vX_[824] + 0.1104774 * vX_[780] + -0.0004405 * vX_[815] + -0.1104774 * vX_[951] +
+ -0.0004405 * vX_[776] - vX_[126] * vX_[1986] - vX_[1] * vX_[1975] - 8.81e-05 * (vX_[4041] + vX_[4057]);
+ vX_[4057] = (vX_[79] * vX_[1010]) / vX_[72];
+ vX_[776] = vX_[4074] * vX_[4066] - vX_[4072] * vX_[4091];
+ vX_[4040] = -0.007418 * vX_[801] + -0.000102 * (vX_[3893] - vX_[4040]) + vX_[7] * vX_[984] + vX_[51] * vX_[1987] +
+ -0.35 * vX_[824] + vX_[111] * vX_[3966] + vX_[117] * vX_[3968] + vX_[80] * vX_[3984] +
+ vX_[86] * vX_[3912] + vX_[4057] - 0.47422804 * vX_[776] - 0.084376 * vX_[4055] - 2.1e-05 * vX_[4068];
+ vX_[815] = (vX_[60] * vX_[1010]) / vX_[72];
+ vX_[3893] = 0.002735 * vX_[801] + 0.0825825 * vX_[776] + -0.000102 * vX_[4068] + vX_[52] * vX_[984] +
+ vX_[7] * vX_[1987] + vX_[117] * vX_[3966] + vX_[113] * vX_[3968] + vX_[74] * vX_[3984] +
+ vX_[85] * vX_[3912] + vX_[815] - -0.007418 * vX_[4055] - 2.1e-05 * (vX_[3893] - vX_[771]);
+ vX_[776] = 0.47422804 * vX_[4055] + 3.146 * vX_[776] + 0.0825825 * vX_[801] + vX_[824] + vX_[82] * vX_[3966] +
+ vX_[69] * vX_[3968];
+ vX_[824] = vX_[4104] * vX_[4104];
+ vX_[801] = 0.009466 * vX_[3822] + 0.1466472 * (vX_[3838] - vX_[3821]) + -5.1e-05 * vX_[3339] + vX_[76] * vX_[4040] +
+ vX_[4] * vX_[3893] + 0.08 * vX_[776] - -0.022734 * vX_[4089] - -3.6e-05 * (vX_[824] - vX_[4087]);
+ vX_[4055] = x_in[45] - vX_[801];
+ vX_[771] = (vX_[148] * vX_[4055]) / vX_[123];
+ vX_[4068] = vX_[4092] * vX_[4096] - vX_[4104] * vX_[3880];
+ vX_[957] = 0.5824264 * vX_[4093] + -3.6e-05 * vX_[4089] + -0.022734 * (vX_[4079] - vX_[4087]) + vX_[3985] +
+ vX_[957] + vX_[93] * vX_[4039] + vX_[752] * vX_[4075] + vX_[513] * vX_[3911] + vX_[565] * vX_[3894] +
+ vX_[515] * vX_[3839] + vX_[563] * vX_[3820] + vX_[771] - 0.1466472 * vX_[4068] - -0.123672 * vX_[3339] -
+ -5.1e-05 * vX_[3822];
+ vX_[4041] = (vX_[157] * vX_[4055]) / vX_[123];
+ vX_[951] = -0.133138 * vX_[4089] + 0.5824264 * (vX_[3821] - vX_[3838]) + -0.022734 * vX_[3822] +
+ vX_[4] * vX_[4040] + vX_[75] * vX_[3893] + vX_[565] * vX_[3911] + vX_[122] * vX_[3894] +
+ vX_[566] * vX_[3839] + vX_[514] * vX_[3820] + vX_[4041] - -3.6e-05 * vX_[3339] -
+ -5.1e-05 * (vX_[4079] - vX_[824]);
+ vX_[780] = (vX_[88] * vX_[4055]) / vX_[123];
+ vX_[4079] = 3.44 * vX_[4093] + 0.5824264 * vX_[3339] + vX_[751] * vX_[4075] + vX_[75] * vX_[4039] +
+ vX_[515] * vX_[3911] + vX_[566] * vX_[3894] + vX_[134] * vX_[3839] + vX_[125] * vX_[3820] + vX_[780] -
+ 0.1466472 * (vX_[4079] + vX_[824]);
+ vX_[4093] = (vX_[97] * vX_[4055]) / vX_[123];
+ vX_[776] = 0.1466472 * vX_[3822] + -3.44 * (vX_[3821] - vX_[3838]) + 0.5824264 * vX_[4089] + vX_[776] +
+ vX_[563] * vX_[3911] + vX_[514] * vX_[3894] + vX_[125] * vX_[3839] + vX_[128] * vX_[3820] + vX_[4093];
+ vX_[3821] = (vX_[135] * vX_[4055]) / vX_[123];
+ vX_[4068] = 3.44 * vX_[4068] + 0.1466472 * vX_[3339] + vX_[750] * vX_[4075] + vX_[754] * vX_[4039] +
+ vX_[96] * vX_[3911] + vX_[158] * vX_[3894] + vX_[142] * vX_[3839] + vX_[153] * vX_[3820] + vX_[3821] -
+ 0.5824264 * (vX_[824] + vX_[4087]);
+ vX_[824] = vX_[249] * x_in[19] + vX_[235] * x_in[20];
+ vX_[3339] = 0.207 * x_in[20] + -1 * x_in[21];
+ vX_[4087] = -1 * x_in[18] + x_in[30];
+ vX_[3838] =
+ vX_[248] * x_in[19] + vX_[1038] * x_in[18] + vX_[250] * x_in[20] + vX_[1030] * x_in[22] + vX_[235] * x_in[23];
+ vX_[3822] = vX_[824] * vX_[3339] - vX_[4087] * vX_[3838];
+ vX_[4089] = vX_[824] * vX_[4087];
+ vX_[4058] = vX_[4087] * vX_[4087];
+ vX_[3807] = vX_[247] * x_in[19] + vX_[249] * x_in[20];
+ vX_[1026] = vX_[3807] * vX_[3807];
+ vX_[775] = vX_[195] * vX_[3807] + vX_[186] * vX_[4087];
+ vX_[968] = -0.08 * vX_[4087] + -1 * vX_[3838];
+ vX_[816] = -1 * vX_[824] + x_in[31];
+ vX_[806] =
+ vX_[1053] * x_in[19] + vX_[164] * x_in[18] + vX_[1052] * x_in[20] + vX_[1051] * x_in[22] + vX_[1050] * x_in[23];
+ vX_[797] = vX_[1065] * vX_[806] + vX_[1066] * vX_[824] + vX_[186] * vX_[3339];
+ vX_[1982] = vX_[775] * vX_[968] - vX_[816] * vX_[797];
+ vX_[1018] = vX_[186] * vX_[3807] + vX_[166] * vX_[4087];
+ vX_[770] = vX_[1018] * vX_[775];
+ vX_[963] = vX_[169] * vX_[1018] + vX_[167] * vX_[775];
+ vX_[812] = -0.35 * vX_[775] + vX_[968];
+ vX_[803] = vX_[963] * vX_[812];
+ vX_[789] = vX_[816] + x_in[32];
+ vX_[2924] = vX_[186] * vX_[806] + vX_[201] * vX_[824] + vX_[166] * vX_[3339];
+ vX_[2925] = vX_[169] * vX_[2924] + vX_[168] * vX_[816] + vX_[167] * vX_[797];
+ vX_[2920] = vX_[789] * vX_[2925];
+ vX_[2915] = vX_[175] * vX_[1018] + vX_[169] * vX_[775];
+ vX_[1969] = vX_[963] * vX_[2915];
+ vX_[1968] = 0 - vX_[2925];
+ vX_[1935] = vX_[1968] * x_in[32];
+ vX_[1930] = vX_[1069] * vX_[2924] + vX_[1077] * vX_[816] + vX_[169] * vX_[797];
+ vX_[1861] = vX_[1930] * x_in[32];
+ vX_[2013] = vX_[2017] * vX_[1262] + vX_[2019] * vX_[1297] + vX_[2013] * vX_[1293];
+ vX_[2025] = vX_[2020] * vX_[1262] + vX_[2015] * vX_[1297] + vX_[2025] * vX_[1293];
+ vX_[2015] = vX_[1124] * vX_[2013] - vX_[1219] * vX_[2025];
+ vX_[2018] = vX_[2014] * vX_[1262] + vX_[2026] * vX_[1297] + vX_[2018] * vX_[1293];
+ vX_[1124] = vX_[1138] * vX_[2025] - vX_[1124] * vX_[2018];
+ vX_[2026] = vX_[2915] * vX_[812] - vX_[789] * vX_[1930];
+ vX_[1321] = 0.110125 * (vX_[2920] - vX_[803]) + 0.025941 * vX_[1969] - vX_[1111] * vX_[2015] -
+ vX_[163] * vX_[1124] - vX_[1268] * vX_[2025] - vX_[1092] * vX_[2013] - vX_[1321] * vX_[2018] -
+ -0.000881 * vX_[2026];
+ vX_[1268] = x_in[44] - vX_[1321];
+ vX_[1111] = vX_[789] * vX_[789];
+ vX_[2920] = -0.881 * (vX_[803] - vX_[2920]) + 0.110125 * vX_[1969] + 0.417781802643138 * vX_[1935] +
+ -0.00370574557885489 * vX_[1861] + (0.110125 * vX_[1268]) / 0.026181 - vX_[1083] * vX_[2013] -
+ vX_[1126] * vX_[2025] - vX_[1114] * vX_[2018] - -0.000881 * (vX_[1111] + vX_[963] * vX_[963]);
+ vX_[1111] = 0.881 * vX_[2026] + -0.000881 * vX_[1969] + -0.00370574557885489 * vX_[1935] +
+ 0.880970354035369 * vX_[1861] + (0.000881 * vX_[1268]) / 0.026181 - vX_[1088] * vX_[2013] -
+ vX_[1129] * vX_[2025] - vX_[1119] * vX_[2018] - 0.110125 * (vX_[1111] + vX_[2915] * vX_[2915]);
+ vX_[2026] = 0 - vX_[1018];
+ vX_[1861] = vX_[2026] * x_in[31];
+ vX_[1935] = vX_[775] * x_in[31];
+ vX_[1969] = vX_[797] * x_in[31];
+ vX_[1119] = 0 - vX_[2924];
+ vX_[1129] = vX_[1119] * x_in[31];
+ vX_[1088] = vX_[816] * vX_[2924];
+ vX_[803] = vX_[1018] * vX_[968];
+ vX_[1114] = vX_[1018] * vX_[816];
+ vX_[1083] = vX_[775] * vX_[816];
+ vX_[1092] = vX_[775] * vX_[775];
+ vX_[2014] = vX_[1018] * vX_[1018];
+ vX_[1268] = 0.47422804 * (vX_[1088] - vX_[803]) + 0.081641 * vX_[770] + 2.1e-05 * vX_[1114] +
+ (0.026181 * vX_[1268]) / 0.026181 + vX_[1321] + vX_[168] * vX_[1111] + vX_[1077] * vX_[2920] -
+ 0.0825825 * vX_[1982] - -0.000102 * vX_[1083] - -0.007418 * (vX_[1092] - vX_[2014]);
+ vX_[1321] = x_in[43] - vX_[1268];
+ vX_[1293] = (vX_[181] * vX_[1321]) / vX_[183];
+ vX_[1297] = vX_[816] * vX_[816];
+ vX_[1982] = 3.146 * vX_[1982] + 0.0825825 * vX_[770] + vX_[1069] * vX_[2920] + vX_[169] * vX_[1111] +
+ vX_[187] * vX_[1861] + vX_[185] * vX_[1935] + vX_[210] * vX_[1969] + vX_[211] * vX_[1129] + vX_[1293] -
+ 0.47422804 * (vX_[1297] + vX_[1092]);
+ vX_[1262] = (vX_[183] * vX_[1321]) / vX_[183];
+ vX_[2020] = (vX_[190] * vX_[1321]) / vX_[183];
+ vX_[803] = -3.146 * (vX_[803] - vX_[1088]) + 0.47422804 * vX_[770] + vX_[169] * vX_[2920] + vX_[167] * vX_[1111] +
+ vX_[193] * vX_[1861] + vX_[192] * vX_[1935] + vX_[211] * vX_[1969] + vX_[209] * vX_[1129] + vX_[2020] -
+ 0.0825825 * (vX_[1297] + vX_[2014]);
+ vX_[1088] = 0 - vX_[3807];
+ vX_[2019] = vX_[1088] * x_in[30];
+ vX_[2017] = vX_[824] * x_in[30];
+ vX_[1860] = vX_[3838] * x_in[30];
+ vX_[1857] = 0 - vX_[806];
+ vX_[1852] = vX_[1857] * x_in[30];
+ vX_[1778] = vX_[3807] * vX_[824];
+ vX_[1777] = vX_[4087] * vX_[806];
+ vX_[1772] = vX_[3807] * vX_[3339];
+ vX_[1767] = vX_[3807] * vX_[4087];
+ vX_[1653] = 0 - vX_[963];
+ vX_[1652] = vX_[1653] * x_in[32];
+ vX_[1219] = vX_[1219] * vX_[2018] - vX_[1138] * vX_[2013];
+ vX_[1138] = vX_[963] * vX_[1930] - vX_[2915] * vX_[2925];
+ vX_[1621] = vX_[963] * vX_[789];
+ vX_[1329] = 0.026409 * vX_[1652] - vX_[1082] * vX_[1124] - vX_[1126] * vX_[1219] - vX_[1116] * vX_[2015] -
+ vX_[1274] * vX_[2025] - vX_[1101] * vX_[2013] - vX_[1329] * vX_[2018] - 0.110125 * vX_[1138] -
+ 0.025713 * vX_[1621];
+ vX_[1082] = vX_[2915] * vX_[789];
+ vX_[1274] = vX_[2915] * x_in[32];
+ vX_[1337] = -0.000227999999999999 * vX_[1082] + -0.000881 * vX_[1138] + 0.000468 * vX_[1274] -
+ vX_[1086] * vX_[1124] - vX_[1130] * vX_[1219] - vX_[1120] * vX_[2015] - vX_[1279] * vX_[2025] -
+ vX_[1109] * vX_[2013] - vX_[1337] * vX_[2018];
+ vX_[1274] = 0.110125 * vX_[1621] + 0.881 * vX_[1138] + -0.000881 * vX_[1082] + -0.110125 * vX_[1652] +
+ -0.000881 * vX_[1274] - vX_[1314] * vX_[2018] - vX_[163] * vX_[2013];
+ vX_[1082] = (2.1e-05 * vX_[1321]) / vX_[183];
+ vX_[1621] = vX_[1018] * vX_[797] - vX_[775] * vX_[2924];
+ vX_[2014] = -0.007418 * vX_[1083] + -0.000102 * (vX_[1297] - vX_[2014]) + vX_[169] * vX_[1329] +
+ vX_[167] * vX_[1337] + -0.35 * vX_[1274] + vX_[220] * vX_[1861] + vX_[226] * vX_[1935] +
+ vX_[187] * vX_[1969] + vX_[193] * vX_[1129] + vX_[1082] - 0.47422804 * vX_[1621] -
+ 0.084376 * vX_[1114] - 2.1e-05 * vX_[770];
+ vX_[1138] = (-0.000102 * vX_[1321]) / vX_[183];
+ vX_[1297] = 0.002735 * vX_[1083] + 0.0825825 * vX_[1621] + -0.000102 * vX_[770] + vX_[175] * vX_[1329] +
+ vX_[169] * vX_[1337] + vX_[226] * vX_[1861] + vX_[222] * vX_[1935] + vX_[185] * vX_[1969] +
+ vX_[192] * vX_[1129] + vX_[1138] - -0.007418 * vX_[1114] - 2.1e-05 * (vX_[1297] - vX_[1092]);
+ vX_[1621] = 0.47422804 * vX_[1114] + 3.146 * vX_[1621] + 0.0825825 * vX_[1083] + vX_[1274] + vX_[189] * vX_[1861] +
+ vX_[180] * vX_[1935];
+ vX_[1274] = vX_[824] * vX_[824];
+ vX_[1083] = 0.009466 * vX_[1778] + 0.1466472 * (vX_[1777] - vX_[1772]) + -5.1e-05 * vX_[1767] +
+ vX_[186] * vX_[2014] + vX_[166] * vX_[1297] + -0.08 * vX_[1621] - 0.022734 * vX_[4089] -
+ 3.6e-05 * (vX_[1274] - vX_[1026]);
+ vX_[1114] = x_in[42] - vX_[1083];
+ vX_[1092] = (vX_[258] * vX_[1114]) / vX_[232];
+ vX_[770] = vX_[3807] * vX_[3838] - vX_[824] * vX_[806];
+ vX_[1268] = -0.5824264 * vX_[3822] + 3.6e-05 * vX_[4089] + 0.022734 * (vX_[4058] - vX_[1026]) +
+ vX_[201] * vX_[1982] + -1 * (vX_[1268] + vX_[1262]) + vX_[1066] * vX_[803] + vX_[526] * vX_[2019] +
+ vX_[579] * vX_[2017] + vX_[528] * vX_[1860] + vX_[577] * vX_[1852] + vX_[1092] - 0.1466472 * vX_[770] -
+ -0.123672 * vX_[1767] - -5.1e-05 * vX_[1778];
+ vX_[1652] = (vX_[267] * vX_[1114]) / vX_[232];
+ vX_[1314] = -0.133138 * vX_[4089] + -0.5824264 * (vX_[1772] - vX_[1777]) + 0.022734 * vX_[1778] +
+ vX_[195] * vX_[2014] + vX_[186] * vX_[1297] + vX_[579] * vX_[2019] + vX_[231] * vX_[2017] +
+ vX_[580] * vX_[1860] + vX_[527] * vX_[1852] + vX_[1652] - 3.6e-05 * vX_[1767] -
+ -5.1e-05 * (vX_[4058] - vX_[1274]);
+ vX_[1086] = (vX_[196] * vX_[1114]) / vX_[232];
+ vX_[4058] = 3.44 * vX_[3822] + -0.5824264 * vX_[1767] + vX_[1065] * vX_[803] + vX_[186] * vX_[1982] +
+ vX_[528] * vX_[2019] + vX_[580] * vX_[2017] + vX_[243] * vX_[1860] + vX_[234] * vX_[1852] + vX_[1086] -
+ 0.1466472 * (vX_[4058] + vX_[1274]);
+ vX_[3822] = (vX_[206] * vX_[1114]) / vX_[232];
+ vX_[1621] = 0.1466472 * vX_[1778] + -3.44 * (vX_[1772] - vX_[1777]) + -0.5824264 * vX_[4089] + -1 * vX_[1621] +
+ vX_[577] * vX_[2019] + vX_[527] * vX_[2017] + vX_[234] * vX_[1860] + vX_[237] * vX_[1852] + vX_[3822];
+ vX_[1772] = (vX_[244] * vX_[1114]) / vX_[232];
+ vX_[770] = 3.44 * vX_[770] + 0.1466472 * vX_[1767] + vX_[186] * vX_[803] + vX_[166] * vX_[1982] +
+ vX_[205] * vX_[2019] + vX_[268] * vX_[2017] + vX_[252] * vX_[1860] + vX_[263] * vX_[1852] + vX_[1772] -
+ -0.5824264 * (vX_[1274] + vX_[1026]);
+ vX_[1274] = vX_[273] * x_in[19] + vX_[354] * x_in[20];
+ vX_[1767] = 0.207 * x_in[20] + x_in[21];
+ vX_[1026] = x_in[18] + x_in[27];
+ vX_[1777] =
+ vX_[366] * x_in[19] + vX_[1341] * x_in[18] + vX_[368] * x_in[20] + vX_[273] * x_in[22] + vX_[354] * x_in[23];
+ vX_[1778] = vX_[1274] * vX_[1767] - vX_[1026] * vX_[1777];
+ vX_[4089] = vX_[1274] * vX_[1026];
+ vX_[1279] = vX_[1026] * vX_[1026];
+ vX_[1130] = vX_[354] * x_in[19] + vX_[367] * x_in[20];
+ vX_[1120] = vX_[1130] * vX_[1130];
+ vX_[1109] = vX_[1274] + x_in[28];
+ vX_[1126] =
+ vX_[1361] * x_in[19] + vX_[274] * x_in[18] + vX_[1360] * x_in[20] + vX_[354] * x_in[22] + vX_[1359] * x_in[23];
+ vX_[1116] = vX_[303] * vX_[1126] + vX_[321] * vX_[1274] + vX_[1378] * vX_[1767];
+ vX_[1101] = vX_[1109] * vX_[1116];
+ vX_[1616] = vX_[303] * vX_[1130] + vX_[276] * vX_[1026];
+ vX_[1551] = 0.08 * vX_[1026] + vX_[1777];
+ vX_[1550] = vX_[1616] * vX_[1551];
+ vX_[1547] = vX_[276] * vX_[1130] + vX_[304] * vX_[1026];
+ vX_[1542] = vX_[1616] * vX_[1547];
+ vX_[1466] = vX_[1616] * vX_[1109];
+ vX_[1465] = vX_[1109] + x_in[29];
+ vX_[1460] = vX_[1375] * vX_[1126] + vX_[1376] * vX_[1274] + vX_[1374] * vX_[1767];
+ vX_[1455] = vX_[277] * vX_[1116] + vX_[282] * vX_[1109] + vX_[279] * vX_[1460];
+ vX_[1343] = vX_[1465] * vX_[1455];
+ vX_[1342] = vX_[277] * vX_[1616] + vX_[279] * vX_[1547];
+ vX_[1309] = -0.35 * vX_[1547] + vX_[1551];
+ vX_[1304] = vX_[1342] * vX_[1309];
+ vX_[1241] = vX_[280] * vX_[1616] + vX_[277] * vX_[1547];
+ vX_[1240] = vX_[1342] * vX_[1241];
+ vX_[2045] = vX_[2049] * vX_[1574] + vX_[2051] * vX_[1609] + vX_[2045] * vX_[1605];
+ vX_[2057] = vX_[2052] * vX_[1574] + vX_[2047] * vX_[1609] + vX_[2057] * vX_[1605];
+ vX_[2047] = vX_[1435] * vX_[2045] - vX_[1596] * vX_[2057];
+ vX_[2050] = vX_[2046] * vX_[1574] + vX_[2058] * vX_[1609] + vX_[2050] * vX_[1605];
+ vX_[1435] = vX_[1449] * vX_[2057] - vX_[1435] * vX_[2050];
+ vX_[2058] = vX_[1380] * vX_[1116] + vX_[1388] * vX_[1109] + vX_[277] * vX_[1460];
+ vX_[2046] = vX_[1241] * vX_[1309] - vX_[1465] * vX_[2058];
+ vX_[1631] = 0.1104774 * (vX_[1343] - vX_[1304]) + 0.025941 * vX_[1240] - vX_[354] * vX_[2047] -
+ vX_[273] * vX_[1435] - vX_[1580] * vX_[2057] - vX_[1404] * vX_[2045] - vX_[1631] * vX_[2050] -
+ 0.0004405 * vX_[2046];
+ vX_[1580] = x_in[41] - vX_[1631];
+ vX_[1404] = vX_[1342] * vX_[1465];
+ vX_[1605] = vX_[2058] * x_in[29];
+ vX_[1609] = 0 - vX_[1342];
+ vX_[1574] = vX_[1609] * x_in[29];
+ vX_[2052] = 0 - vX_[1455];
+ vX_[2051] = vX_[2052] * x_in[29];
+ vX_[2049] = vX_[1465] * vX_[1465];
+ vX_[1237] = vX_[1241] * vX_[1241];
+ vX_[1430] = 0.881 * vX_[2046] + -8.81e-05 * vX_[1404] + 0.0004405 * vX_[1240] + 0.880992588508842 * vX_[1605] +
+ -8.81e-05 * vX_[1574] + 0.00185880198235362 * vX_[2051] + (-0.0004405 * vX_[1580]) / 0.026181 -
+ vX_[1400] * vX_[2045] - vX_[1440] * vX_[2057] - vX_[1430] * vX_[2050] -
+ 0.1104774 * (vX_[2049] + vX_[1237]);
+ vX_[1440] = vX_[1241] * vX_[1465];
+ vX_[1400] = vX_[1241] * x_in[29];
+ vX_[1232] = vX_[1342] * vX_[1342];
+ vX_[2049] = -0.881 * (vX_[1304] - vX_[1343]) + 0.1104774 * vX_[1240] + -8.81e-05 * vX_[1440] +
+ 0.00185880198235362 * vX_[1605] + 8.81e-05 * vX_[1400] + 0.414812462825713 * vX_[2051] +
+ (0.1104774 * vX_[1580]) / 0.026181 - vX_[1395] * vX_[2045] - vX_[1437] * vX_[2057] -
+ vX_[1426] * vX_[2050] - 0.0004405 * (vX_[2049] + vX_[1232]);
+ vX_[1240] = vX_[1547] * vX_[1551] - vX_[1109] * vX_[1460];
+ vX_[1426] = vX_[1547] * vX_[1109];
+ vX_[1395] = vX_[1547] * vX_[1547];
+ vX_[1155] = vX_[1616] * vX_[1616];
+ vX_[1580] = 0.47422804 * (vX_[1101] - vX_[1550]) + 0.081641 * vX_[1542] + 2.1e-05 * vX_[1466] +
+ (0.026181 * vX_[1580]) / 0.026181 + vX_[1631] + vX_[282] * vX_[1430] + vX_[1388] * vX_[2049] -
+ -0.0825825 * vX_[1240] - 0.000102 * vX_[1426] - 0.007418 * (vX_[1395] - vX_[1155]);
+ vX_[1631] = x_in[40] - vX_[1580];
+ vX_[1154] = (vX_[300] * vX_[1631]) / vX_[300];
+ vX_[1149] = 0 - vX_[1616];
+ vX_[1144] = vX_[1149] * x_in[28];
+ vX_[1032] = vX_[1547] * x_in[28];
+ vX_[1031] = vX_[1460] * x_in[28];
+ vX_[1000] = 0 - vX_[1116];
+ vX_[995] = vX_[1000] * x_in[28];
+ vX_[924] = (vX_[298] * vX_[1631]) / vX_[300];
+ vX_[923] = vX_[1109] * vX_[1109];
+ vX_[1240] = 3.146 * vX_[1240] + -0.0825825 * vX_[1542] + vX_[1380] * vX_[2049] + vX_[277] * vX_[1430] +
+ vX_[308] * vX_[1144] + vX_[302] * vX_[1032] + vX_[329] * vX_[1031] + vX_[330] * vX_[995] + vX_[924] -
+ 0.47422804 * (vX_[923] + vX_[1395]);
+ vX_[920] = (vX_[311] * vX_[1631]) / vX_[300];
+ vX_[1550] = -3.146 * (vX_[1550] - vX_[1101]) + 0.47422804 * vX_[1542] + vX_[277] * vX_[2049] +
+ vX_[279] * vX_[1430] + vX_[314] * vX_[1144] + vX_[313] * vX_[1032] + vX_[330] * vX_[1031] +
+ vX_[328] * vX_[995] + vX_[920] - -0.0825825 * (vX_[923] + vX_[1155]);
+ vX_[1101] = 0 - vX_[1130];
+ vX_[915] = vX_[1101] * x_in[27];
+ vX_[841] = vX_[1274] * x_in[27];
+ vX_[840] = vX_[1777] * x_in[27];
+ vX_[835] = 0 - vX_[1126];
+ vX_[830] = vX_[835] * x_in[27];
+ vX_[3741] = vX_[1130] * vX_[1274];
+ vX_[3731] = vX_[1026] * vX_[1126];
+ vX_[3742] = vX_[1130] * vX_[1767];
+ vX_[3739] = vX_[1130] * vX_[1026];
+ vX_[1596] = vX_[1596] * vX_[2050] - vX_[1449] * vX_[2045];
+ vX_[1449] = vX_[1342] * vX_[2058] - vX_[1241] * vX_[1455];
+ vX_[1605] = -8.81e-05 * vX_[2046] + -8.81e-05 * vX_[1605] + 0.026409 * vX_[1574] - vX_[1394] * vX_[1435] -
+ vX_[1437] * vX_[1596] - vX_[1428] * vX_[2047] - vX_[1586] * vX_[2057] - vX_[1413] * vX_[2045] -
+ vX_[1639] * vX_[2050] - 0.1104774 * vX_[1449] - 0.025713 * vX_[1404];
+ vX_[2051] = 0.0004405 * vX_[1449] + -8.81e-05 * (vX_[1304] - vX_[1343]) + -0.000227999999999999 * vX_[1440] +
+ 8.81e-05 * vX_[2051] + 0.000468 * vX_[1400] - vX_[1399] * vX_[1435] - vX_[1441] * vX_[1596] -
+ vX_[1431] * vX_[2047] - vX_[1591] * vX_[2057] - vX_[1422] * vX_[2045] - vX_[1647] * vX_[2050];
+ vX_[1449] = 0.881 * vX_[1449] + 0.1104774 * vX_[1404] + 0.0004405 * vX_[1440] + -0.1104774 * vX_[1574] +
+ 0.0004405 * vX_[1400] - vX_[354] * vX_[2050] - vX_[273] * vX_[2045] -
+ -8.81e-05 * (vX_[1237] + vX_[1232]);
+ vX_[1232] = (vX_[307] * vX_[1631]) / vX_[300];
+ vX_[1400] = vX_[1616] * vX_[1460] - vX_[1547] * vX_[1116];
+ vX_[1155] = 0.007418 * vX_[1426] + 0.000102 * (vX_[923] - vX_[1155]) + vX_[277] * vX_[1605] + vX_[279] * vX_[2051] +
+ -0.35 * vX_[1449] + vX_[339] * vX_[1144] + vX_[345] * vX_[1032] + vX_[308] * vX_[1031] +
+ vX_[314] * vX_[995] + vX_[1232] - 0.47422804 * vX_[1400] - 0.084376 * vX_[1466] - 2.1e-05 * vX_[1542];
+ vX_[1440] = (vX_[288] * vX_[1631]) / vX_[300];
+ vX_[923] = 0.002735 * vX_[1426] + -0.0825825 * vX_[1400] + 0.000102 * vX_[1542] + vX_[280] * vX_[1605] +
+ vX_[277] * vX_[2051] + vX_[345] * vX_[1144] + vX_[341] * vX_[1032] + vX_[302] * vX_[1031] +
+ vX_[313] * vX_[995] + vX_[1440] - 0.007418 * vX_[1466] - 2.1e-05 * (vX_[923] - vX_[1395]);
+ vX_[1400] = 0.47422804 * vX_[1466] + 3.146 * vX_[1400] + -0.0825825 * vX_[1426] + vX_[1449] + vX_[310] * vX_[1144] +
+ vX_[297] * vX_[1032];
+ vX_[1449] = vX_[1274] * vX_[1274];
+ vX_[1426] = 0.009466 * vX_[3741] + 0.1466472 * (vX_[3731] - vX_[3742]) + -5.1e-05 * vX_[3739] +
+ vX_[304] * vX_[1155] + vX_[276] * vX_[923] + 0.08 * vX_[1400] - 0.022734 * vX_[4089] -
+ 3.6e-05 * (vX_[1449] - vX_[1120]);
+ vX_[1466] = x_in[39] - vX_[1426];
+ vX_[1395] = (vX_[376] * vX_[1466]) / vX_[351];
+ vX_[1542] = vX_[1130] * vX_[1777] - vX_[1274] * vX_[1126];
+ vX_[1580] = -0.5824264 * vX_[1778] + 3.6e-05 * vX_[4089] + 0.022734 * (vX_[1279] - vX_[1120]) + vX_[1154] +
+ vX_[1580] + vX_[321] * vX_[1240] + vX_[1376] * vX_[1550] + vX_[539] * vX_[915] + vX_[593] * vX_[841] +
+ vX_[541] * vX_[840] + vX_[591] * vX_[830] + vX_[1395] - 0.1466472 * vX_[1542] - -0.123672 * vX_[3739] -
+ -5.1e-05 * vX_[3741];
+ vX_[1237] = (vX_[385] * vX_[1466]) / vX_[351];
+ vX_[1574] = -0.133138 * vX_[4089] + -0.5824264 * (vX_[3742] - vX_[3731]) + 0.022734 * vX_[3741] +
+ vX_[276] * vX_[1155] + vX_[303] * vX_[923] + vX_[593] * vX_[915] + vX_[350] * vX_[841] +
+ vX_[594] * vX_[840] + vX_[540] * vX_[830] + vX_[1237] - 3.6e-05 * vX_[3739] -
+ -5.1e-05 * (vX_[1279] - vX_[1449]);
+ vX_[1404] = (vX_[316] * vX_[1466]) / vX_[351];
+ vX_[1279] = 3.44 * vX_[1778] + -0.5824264 * vX_[3739] + vX_[1375] * vX_[1550] + vX_[303] * vX_[1240] +
+ vX_[541] * vX_[915] + vX_[594] * vX_[841] + vX_[362] * vX_[840] + vX_[353] * vX_[830] + vX_[1404] -
+ 0.1466472 * (vX_[1279] + vX_[1449]);
+ vX_[1778] = (vX_[325] * vX_[1466]) / vX_[351];
+ vX_[1400] = 0.1466472 * vX_[3741] + -3.44 * (vX_[3742] - vX_[3731]) + -0.5824264 * vX_[4089] + vX_[1400] +
+ vX_[591] * vX_[915] + vX_[540] * vX_[841] + vX_[353] * vX_[840] + vX_[356] * vX_[830] + vX_[1778];
+ vX_[3742] = (vX_[363] * vX_[1466]) / vX_[351];
+ vX_[1542] = 3.44 * vX_[1542] + 0.1466472 * vX_[3739] + vX_[1374] * vX_[1550] + vX_[1378] * vX_[1240] +
+ vX_[324] * vX_[915] + vX_[386] * vX_[841] + vX_[370] * vX_[840] + vX_[381] * vX_[830] + vX_[3742] -
+ -0.5824264 * (vX_[1449] + vX_[1120]);
+ vX_[1449] = vX_[1882] * vX_[5] - vX_[10] * vX_[4129];
+ vX_[3739] = vX_[10] * vX_[10];
+ vX_[1120] = (vX_[416] * vX_[1947]) / vX_[418];
+ vX_[1723] = 3.146 * vX_[1747] + -0.0825825 * vX_[1732] + vX_[1690] * vX_[1734] + vX_[395] * vX_[4110] +
+ vX_[425] * vX_[2078] + vX_[420] * vX_[4138] + vX_[448] * vX_[1963] + vX_[449] * vX_[1904] + vX_[1120] -
+ 0.47422804 * (vX_[4116] + vX_[1723]);
+ vX_[1747] = (vX_[418] * vX_[1947]) / vX_[418];
+ vX_[3731] = (vX_[428] * vX_[1947]) / vX_[418];
+ vX_[1732] = -3.146 * (vX_[1743] - vX_[1753]) + 0.47422804 * vX_[1732] + vX_[395] * vX_[1734] +
+ vX_[397] * vX_[4110] + vX_[431] * vX_[2078] + vX_[430] * vX_[4138] + vX_[449] * vX_[1963] +
+ vX_[447] * vX_[1904] + vX_[3731] - -0.0825825 * (vX_[4116] + vX_[4106]);
+ vX_[1743] = (vX_[496] * vX_[2081]) / vX_[470];
+ vX_[1753] = vX_[2916] * vX_[4129] - vX_[1882] * vX_[1543];
+ vX_[1893] = 0.5824264 * vX_[1449] + -3.6e-05 * vX_[1456] + -0.022734 * (vX_[3739] - vX_[41]) +
+ vX_[439] * vX_[1723] + -1 * (vX_[1893] + vX_[1747]) + vX_[1687] * vX_[1732] + vX_[552] * vX_[4121] +
+ vX_[607] * vX_[4134] + vX_[554] * vX_[4124] + vX_[605] * vX_[4133] + vX_[1743] - 0.1466472 * vX_[1753] -
+ -0.123672 * vX_[4125] - -5.1e-05 * vX_[1853];
+ vX_[4106] = (vX_[505] * vX_[2081]) / vX_[470];
+ vX_[1456] = -0.133138 * vX_[1456] + 0.5824264 * (vX_[1768] - vX_[14]) + -0.022734 * vX_[1853] +
+ vX_[433] * vX_[1940] + vX_[421] * vX_[831] + vX_[607] * vX_[4121] + vX_[469] * vX_[4134] +
+ vX_[608] * vX_[4124] + vX_[553] * vX_[4133] + vX_[4106] - -3.6e-05 * vX_[4125] -
+ -5.1e-05 * (vX_[3739] - vX_[44]);
+ vX_[14] = (vX_[434] * vX_[2081]) / vX_[470];
+ vX_[3739] = 3.44 * vX_[1449] + 0.5824264 * vX_[4125] + vX_[1686] * vX_[1732] + vX_[421] * vX_[1723] +
+ vX_[554] * vX_[4121] + vX_[608] * vX_[4134] + vX_[481] * vX_[4124] + vX_[472] * vX_[4133] + vX_[14] -
+ 0.1466472 * (vX_[3739] + vX_[44]);
+ vX_[1449] = (vX_[482] * vX_[2081]) / vX_[470];
+ vX_[1753] = 3.44 * vX_[1753] + 0.1466472 * vX_[4125] + vX_[421] * vX_[1732] + vX_[394] * vX_[1723] +
+ vX_[443] * vX_[4121] + vX_[506] * vX_[4134] + vX_[490] * vX_[4124] + vX_[501] * vX_[4133] + vX_[1449] -
+ 0.5824264 * (vX_[44] + vX_[41]);
+ vX_[41] = x_in[19] * x_in[23] - x_in[20] * x_in[22];
+ vX_[44] = x_in[19] * x_in[20];
+ vX_[4125] = x_in[19] * x_in[19];
+ vX_[1768] = x_in[18] * x_in[18];
+ vX_[1853] = x_in[20] * x_in[20];
+ vX_[4116] = x_in[18] * x_in[22] - x_in[19] * x_in[21];
+ vX_[3741] = (vX_[123] * vX_[4055]) / vX_[123];
+ vX_[4089] = (vX_[232] * vX_[1114]) / vX_[232];
+ vX_[1304] = (vX_[351] * vX_[1466]) / vX_[351];
+ vX_[1343] = (vX_[470] * vX_[2081]) / vX_[470];
+ vX_[1426] =
+ (-0.0053433 * vX_[4116] + 2.0678571 * (vX_[4103] - vX_[4108]) + 0.473273 * vX_[44] + 0.190812 * vX_[3953] +
+ vX_[3741] + vX_[801] + vX_[27] * vX_[4079] + vX_[706] * vX_[776] + vX_[164] * vX_[4058] +
+ -1 * (vX_[1083] + vX_[4089]) + vX_[1038] * vX_[1621] + vX_[1304] + vX_[1426] + vX_[274] * vX_[1279] +
+ vX_[1341] * vX_[1400] + vX_[392] * vX_[3739] + -1 * (vX_[4100] + vX_[1343]) + vX_[1659] * vX_[4135] -
+ -0.00571 * vX_[4112] - 0.012668 * (vX_[1853] - vX_[4125])) /
+ vX_[619];
+ vX_[1083] = (2.0678571 * vX_[41] + -0.00571 * vX_[44] + 0.190812 * (vX_[1853] - vX_[1768]) + vX_[1] * vX_[957] +
+ vX_[126] * vX_[951] + vX_[727] * vX_[4079] + vX_[138] * vX_[776] + vX_[249] * vX_[1268] +
+ vX_[247] * vX_[1314] + vX_[1053] * vX_[4058] + vX_[248] * vX_[1621] + vX_[273] * vX_[1580] +
+ vX_[354] * vX_[1574] + vX_[1361] * vX_[1279] + vX_[366] * vX_[1400] + vX_[487] * vX_[1893] +
+ vX_[485] * vX_[1456] + vX_[1674] * vX_[3739] + vX_[486] * vX_[4135] - -1.1915559 * vX_[4116] -
+ 4.847485 * vX_[4112] - 0.012668 * vX_[3953] - vX_[636] * vX_[1426]) /
+ vX_[616];
+ vX_[801] =
+ (-1.1915559 * (vX_[4108] - vX_[4103]) + 4.374212 * vX_[3953] + 0.012668 * vX_[4112] + vX_[126] * vX_[957] +
+ vX_[139] * vX_[951] + vX_[728] * vX_[4079] + vX_[140] * vX_[776] + 0.207 * vX_[4068] +
+ vX_[235] * vX_[1268] + vX_[249] * vX_[1314] + vX_[1052] * vX_[4058] + vX_[250] * vX_[1621] +
+ 0.207 * vX_[770] + vX_[354] * vX_[1580] + vX_[367] * vX_[1574] + vX_[1360] * vX_[1279] +
+ vX_[368] * vX_[1400] + 0.207 * vX_[1542] + vX_[473] * vX_[1893] + vX_[487] * vX_[1456] +
+ vX_[1673] * vX_[3739] + vX_[488] * vX_[4135] + 0.207 * vX_[1753] - -0.0053433 * vX_[41] -
+ 0.190812 * vX_[44] - -0.00571 * (vX_[4125] - vX_[1768]) - vX_[667] * vX_[1083] - vX_[628] * vX_[1426]) /
+ vX_[618];
+ vX_[41] = (53.433 * vX_[41] + 2.0678571 * vX_[4112] + -0.0053433 * vX_[3953] + vX_[4068] + -1 * vX_[770] +
+ vX_[1542] + -1 * vX_[1753] - -1.1915559 * (vX_[1853] + vX_[4125]) - vX_[691] * vX_[1083] -
+ vX_[690] * vX_[1426] - vX_[509] * vX_[801]) /
+ vX_[721];
+ vX_[1853] = (-53.433 * (vX_[4103] - vX_[4108]) + -1.1915559 * vX_[3953] + 2.0678571 * vX_[44] + vX_[1] * vX_[776] +
+ vX_[126] * vX_[4079] + vX_[1030] * vX_[1621] + vX_[1051] * vX_[4058] + vX_[273] * vX_[1400] +
+ vX_[354] * vX_[1279] + vX_[1651] * vX_[4135] + vX_[1672] * vX_[3739] -
+ -0.0053433 * (vX_[1853] + vX_[1768]) - vX_[633] * vX_[1083] - vX_[518] * vX_[1426] -
+ vX_[730] * vX_[801] - vX_[736] * vX_[41]) /
+ vX_[718];
+ vX_[4116] = (53.433 * vX_[4116] + -1.1915559 * vX_[4112] + -0.0053433 * vX_[44] + vX_[126] * vX_[776] +
+ vX_[729] * vX_[4079] + vX_[235] * vX_[1621] + vX_[1050] * vX_[4058] + vX_[354] * vX_[1400] +
+ vX_[1359] * vX_[1279] + vX_[473] * vX_[4135] + vX_[1671] * vX_[3739] -
+ 2.0678571 * (vX_[4125] + vX_[1768]) - vX_[662] * vX_[1083] - vX_[510] * vX_[1426] -
+ vX_[682] * vX_[801] - vX_[689] * vX_[41] - vX_[743] * vX_[1853]) /
+ vX_[720];
+ vX_[1768] = 0 - vX_[714] * vX_[4116];
+ vX_[4125] = 0 - vX_[1768];
+ vX_[44] = 0 - vX_[1768];
+ vX_[739] = (vX_[739] * vX_[4116] + vX_[44] * vX_[743]) * 1 / vX_[718];
+ vX_[4112] = 0 - vX_[739];
+ vX_[720] = 0 - vX_[1768];
+ vX_[3953] = 0 - vX_[739];
+ vX_[574] = (vX_[574] * vX_[4116] + vX_[720] * vX_[689] + vX_[3953] * vX_[736]) * 1 / vX_[721];
+ vX_[4103] = 0 - vX_[574];
+ vX_[670] =
+ (vX_[670] * vX_[4116] + vX_[4125] * vX_[682] + vX_[4112] * vX_[730] + vX_[4103] * vX_[509]) * 1 / vX_[618];
+ vX_[4108] = vX_[1853] - vX_[712] * vX_[4116];
+ vX_[44] = vX_[708] * vX_[1853] + vX_[44] * vX_[712];
+ vX_[708] = 0 - vX_[44];
+ vX_[1753] = 0 - vX_[738] * vX_[1853] - vX_[739] * vX_[712];
+ vX_[1542] = 0 - vX_[1753];
+ vX_[770] = 0 - vX_[44];
+ vX_[4068] = 0 - vX_[1753];
+ vX_[732] = (vX_[732] * vX_[4108] + vX_[770] * vX_[689] + vX_[4068] * vX_[736]) * 1 / vX_[721];
+ vX_[4100] = 0 - vX_[732];
+ vX_[726] =
+ (vX_[726] * vX_[4108] + vX_[708] * vX_[682] + vX_[1542] * vX_[730] + vX_[4100] * vX_[509]) * 1 / vX_[618];
+ vX_[1647] = vX_[41] - vX_[722] * vX_[4116] - vX_[737] * vX_[4108];
+ vX_[770] = vX_[741] * vX_[41] + vX_[720] * vX_[722] + vX_[770] * vX_[737];
+ vX_[720] = 0 - vX_[770];
+ vX_[4068] = vX_[740] * vX_[41] + vX_[3953] * vX_[722] + vX_[4068] * vX_[737];
+ vX_[3953] = 0 - vX_[4068];
+ vX_[740] = 0 - vX_[632] * vX_[41] - vX_[574] * vX_[722] - vX_[732] * vX_[737];
+ vX_[741] = 0 - vX_[740];
+ vX_[665] = (vX_[665] * vX_[1647] + vX_[720] * vX_[682] + vX_[3953] * vX_[730] + vX_[741] * vX_[509]) * 1 / vX_[618];
+ vX_[1399] = 0 - vX_[669] * vX_[801] - vX_[670] * vX_[604] - vX_[726] * vX_[731] - vX_[665] * vX_[664];
+ vX_[1591] = 0 - vX_[1768];
+ vX_[1441] = 0 - vX_[739];
+ vX_[1431] = 0 - vX_[574];
+ vX_[1422] = 0 - vX_[670];
+ vX_[2046] = 0 - vX_[1768];
+ vX_[1639] = 0 - vX_[739];
+ vX_[1394] = 0 - vX_[574];
+ vX_[1586] = 0 - vX_[670];
+ vX_[638] = (vX_[638] * vX_[4116] + vX_[2046] * vX_[662] + vX_[1639] * vX_[633] + vX_[1394] * vX_[691] +
+ vX_[1586] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[1437] = 0 - vX_[638];
+ vX_[1428] = (vX_[4116] + vX_[1591] * vX_[510] + vX_[1441] * vX_[518] + vX_[1431] * vX_[690] + vX_[1422] * vX_[628] +
+ vX_[1437] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1413] = 0 - vX_[44];
+ vX_[3735] = 0 - vX_[1753];
+ vX_[3725] = 0 - vX_[732];
+ vX_[3738] = 0 - vX_[726];
+ vX_[3733] = 0 - vX_[44];
+ vX_[3728] = 0 - vX_[1753];
+ vX_[3630] = 0 - vX_[732];
+ vX_[3737] = 0 - vX_[726];
+ vX_[724] = (vX_[724] * vX_[4108] + vX_[3733] * vX_[662] + vX_[3728] * vX_[633] + vX_[3630] * vX_[691] +
+ vX_[3737] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[3729] = 0 - vX_[724];
+ vX_[3720] = (vX_[4108] + vX_[1413] * vX_[510] + vX_[3735] * vX_[518] + vX_[3725] * vX_[690] + vX_[3738] * vX_[628] +
+ vX_[3729] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3710] = 0 - vX_[770];
+ vX_[3721] = 0 - vX_[4068];
+ vX_[3718] = 0 - vX_[740];
+ vX_[3714] = 0 - vX_[665];
+ vX_[3704] = 0 - vX_[770];
+ vX_[3717] = 0 - vX_[4068];
+ vX_[3712] = 0 - vX_[740];
+ vX_[3707] = 0 - vX_[665];
+ vX_[576] = (vX_[576] * vX_[1647] + vX_[3704] * vX_[662] + vX_[3717] * vX_[633] + vX_[3712] * vX_[691] +
+ vX_[3707] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[3557] = 0 - vX_[576];
+ vX_[3716] = (vX_[1647] + vX_[3710] * vX_[510] + vX_[3721] * vX_[518] + vX_[3718] * vX_[690] + vX_[3714] * vX_[628] +
+ vX_[3557] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3708] = vX_[801] - vX_[731] * vX_[4108] - vX_[664] * vX_[1647] - vX_[604] * vX_[4116];
+ vX_[720] = vX_[702] * vX_[801] + vX_[4125] * vX_[604] + vX_[708] * vX_[731] + vX_[720] * vX_[664];
+ vX_[708] = 0 - vX_[720];
+ vX_[3953] = vX_[742] * vX_[801] + vX_[4112] * vX_[604] + vX_[1542] * vX_[731] + vX_[3953] * vX_[664];
+ vX_[1542] = 0 - vX_[3953];
+ vX_[741] = vX_[687] * vX_[801] + vX_[4103] * vX_[604] + vX_[4100] * vX_[731] + vX_[741] * vX_[664];
+ vX_[4100] = 0 - vX_[741];
+ vX_[4103] = 0 - vX_[1399];
+ vX_[687] = 0 - vX_[720];
+ vX_[4112] = 0 - vX_[3953];
+ vX_[742] = 0 - vX_[741];
+ vX_[4125] = 0 - vX_[1399];
+ vX_[663] = (vX_[663] * vX_[3708] + vX_[687] * vX_[662] + vX_[4112] * vX_[633] + vX_[742] * vX_[691] +
+ vX_[4125] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[702] = 0 - vX_[663];
+ vX_[3699] = (vX_[3708] + vX_[708] * vX_[510] + vX_[1542] * vX_[518] + vX_[4100] * vX_[690] + vX_[4103] * vX_[628] +
+ vX_[702] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3689] = vX_[1083] - vX_[666] * vX_[1647] - vX_[668] * vX_[3708] - vX_[725] * vX_[4108] - vX_[602] * vX_[4116];
+ vX_[687] =
+ vX_[685] * vX_[1083] + vX_[2046] * vX_[602] + vX_[3733] * vX_[725] + vX_[3704] * vX_[666] + vX_[687] * vX_[668];
+ vX_[3704] = 0 - vX_[687];
+ vX_[4112] = vX_[683] * vX_[1083] + vX_[1639] * vX_[602] + vX_[3728] * vX_[725] + vX_[3717] * vX_[666] +
+ vX_[4112] * vX_[668];
+ vX_[3717] = 0 - vX_[4112];
+ vX_[742] =
+ vX_[679] * vX_[1083] + vX_[1394] * vX_[602] + vX_[3630] * vX_[725] + vX_[3712] * vX_[666] + vX_[742] * vX_[668];
+ vX_[3712] = 0 - vX_[742];
+ vX_[4125] = vX_[676] * vX_[1083] + vX_[1586] * vX_[602] + vX_[3737] * vX_[725] + vX_[3707] * vX_[666] +
+ vX_[4125] * vX_[668];
+ vX_[3707] = 0 - vX_[4125];
+ vX_[3737] = 0 - vX_[673] * vX_[1083] - vX_[638] * vX_[602] - vX_[724] * vX_[725] - vX_[576] * vX_[666] -
+ vX_[663] * vX_[668];
+ vX_[1586] = 0 - vX_[3737];
+ vX_[676] = (vX_[3689] + vX_[3704] * vX_[510] + vX_[3717] * vX_[518] + vX_[3712] * vX_[690] + vX_[3707] * vX_[628] +
+ vX_[1586] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3630] = 0 - vX_[162] * vX_[1426] - vX_[1428] * vX_[620] - vX_[3720] * vX_[723] - vX_[3716] * vX_[590] -
+ vX_[3699] * vX_[624] - vX_[676] * vX_[637];
+ vX_[1394] = vX_[1399] - vX_[3630];
+ vX_[679] = vX_[663] + vX_[4125];
+ vX_[3728] = vX_[1394] * vX_[487] + vX_[679] * vX_[485];
+ vX_[1639] = vX_[3737] - vX_[3630];
+ vX_[683] = vX_[1639] * vX_[487];
+ vX_[3733] = vX_[1394] * vX_[473] + vX_[679] * vX_[487];
+ vX_[2046] = vX_[1639] * vX_[485];
+ vX_[685] = vX_[3733] + vX_[2046];
+ vX_[3700] = vX_[3728] * vX_[473] + vX_[683] * vX_[485] + vX_[685] * vX_[487];
+ vX_[3697] = 0 - vX_[3700];
+ vX_[3693] = vX_[3630] + vX_[3733] * vX_[473] + vX_[683] * vX_[487];
+ vX_[3683] = 0 - vX_[3693];
+ vX_[3696] = vX_[3630] + vX_[3728] * vX_[487] + vX_[2046] * vX_[485];
+ vX_[3717] = vX_[650] * vX_[1426] + vX_[1441] * vX_[620] + vX_[3735] * vX_[723] + vX_[3721] * vX_[590] +
+ vX_[1542] * vX_[624] + vX_[3717] * vX_[637];
+ vX_[1542] = vX_[3720] + vX_[3717];
+ vX_[3721] = vX_[576] + vX_[742] - vX_[1542];
+ vX_[3704] = vX_[656] * vX_[1426] + vX_[1591] * vX_[620] + vX_[1413] * vX_[723] + vX_[3710] * vX_[590] +
+ vX_[708] * vX_[624] + vX_[3704] * vX_[637];
+ vX_[708] = vX_[1428] + vX_[3704];
+ vX_[3710] = 0 - (vX_[665] + vX_[741]) + vX_[708];
+ vX_[1413] = (vX_[708] * vX_[473] + vX_[1542] * vX_[487]) * -1;
+ vX_[1591] = 0 - (vX_[3721] * vX_[487] + vX_[3710] * vX_[485]) + vX_[1413];
+ vX_[656] = vX_[1591] + vX_[3693] * vX_[474];
+ vX_[3735] = 0 - vX_[656];
+ vX_[1441] = (vX_[708] * vX_[487] + vX_[1542] * vX_[485]) * -1;
+ vX_[650] = vX_[3721] * vX_[473] + vX_[3710] * vX_[487] + vX_[1441];
+ vX_[3691] = 0 - vX_[3696];
+ vX_[3686] = vX_[650] + vX_[3700] * vX_[474] + vX_[3691] * vX_[393];
+ vX_[3484] = vX_[726] + vX_[3953];
+ vX_[3695] = vX_[670] + vX_[720];
+ vX_[3687] = vX_[3484] * vX_[485] + vX_[3695] * vX_[487];
+ vX_[3678] = vX_[638] + vX_[687];
+ vX_[3668] = vX_[724] + vX_[4112];
+ vX_[3679] = vX_[3678] * vX_[487] + vX_[3668] * vX_[485];
+ vX_[3676] = vX_[3687] * vX_[473] + vX_[3679] * vX_[487];
+ vX_[1586] = vX_[272] * vX_[1426] + vX_[1437] * vX_[620] + vX_[3729] * vX_[723] + vX_[3557] * vX_[590] +
+ vX_[702] * vX_[624] + vX_[1586] * vX_[637];
+ vX_[702] = vX_[676] + vX_[1586];
+ vX_[3707] = vX_[390] * vX_[1426] + vX_[1422] * vX_[620] + vX_[3738] * vX_[723] + vX_[3714] * vX_[590] +
+ vX_[4103] * vX_[624] + vX_[3707] * vX_[637];
+ vX_[4103] = vX_[3699] + vX_[3707];
+ vX_[3714] = 0 - vX_[4103];
+ vX_[3738] = vX_[702] * vX_[487] + vX_[3714] * vX_[485];
+ vX_[1422] = 0 - vX_[3738];
+ vX_[390] = vX_[3676] + vX_[1422] * vX_[393] + vX_[3683] * vX_[489];
+ vX_[3557] = 0 - vX_[390];
+ vX_[3729] = vX_[3484] * vX_[487] + vX_[3695] * vX_[473];
+ vX_[1437] = vX_[3678] * vX_[473] + vX_[3668] * vX_[487];
+ vX_[272] = vX_[3729] * vX_[487] + vX_[1437] * vX_[485];
+ vX_[4103] = 0 - vX_[4103];
+ vX_[3672] = vX_[702] * vX_[473] + vX_[4103] * vX_[487];
+ vX_[3659] = 0 - vX_[3672];
+ vX_[3675] = vX_[272] + vX_[3659] * vX_[474] + vX_[3696] * vX_[489];
+ vX_[3670] = vX_[3729] * vX_[473] + vX_[1437] * vX_[487];
+ vX_[3665] = vX_[3670] + vX_[3738] * vX_[474];
+ vX_[3411] = vX_[3687] * vX_[487] + vX_[3679] * vX_[485];
+ vX_[3674] = vX_[3411] + vX_[3672] * vX_[393] + vX_[3697] * vX_[489];
+ vX_[3666] = 0 - vX_[3665] + vX_[3674];
+ vX_[3662] = 0 - vX_[3700];
+ vX_[3657] = 0 - vX_[3693];
+ vX_[3683] = vX_[3697] * vX_[611] + vX_[3683] * vX_[556] + vX_[3696] * vX_[452] + vX_[3735] * vX_[490] +
+ vX_[3686] * vX_[501] + vX_[3557] * vX_[481] + vX_[3675] * vX_[475] + vX_[3666] * vX_[472] +
+ vX_[3662] * vX_[608] + vX_[3700] * vX_[605] + vX_[3657] * vX_[555] + vX_[3696] * vX_[559];
+ vX_[3697] = 0 - vX_[996];
+ vX_[3643] = vX_[1684] * 0.881 + (0 - vX_[1715]) * 0.1104774 + vX_[1724] * 0.0004405;
+ vX_[3645] = vX_[1699] * 0.00185880198235362 + vX_[1706] * 0.880992588508842 + vX_[1715] * -8.81e-05;
+ vX_[3661] = vX_[3697] * vX_[1305] + vX_[3643] * vX_[46] + vX_[3645] * x_in[26];
+ vX_[1705] = 0 - vX_[1737] + vX_[1749] - vX_[1705];
+ vX_[1749] = 0 - vX_[3643];
+ vX_[1737] = vX_[1699] * 0.414812462825713 + vX_[1706] * 0.00185880198235362 + vX_[1724] * 8.81e-05;
+ vX_[3644] = vX_[1705] * vX_[1305] + vX_[1749] * vX_[42] - vX_[1737] * x_in[26];
+ vX_[3589] = 0 - vX_[1858];
+ vX_[3584] = vX_[1682] * 3.146 + (0 - vX_[1683]) * 0.47422804 + vX_[1696] * -0.0825825;
+ vX_[3570] = vX_[1688] * vX_[449] + vX_[1689] * vX_[448] + vX_[1683] * vX_[425] + vX_[1696] * vX_[420];
+ vX_[3572] = vX_[3661] * vX_[395] + vX_[3644] * vX_[397] + vX_[3589] * vX_[1233] + vX_[3584] * vX_[15] +
+ vX_[3570] * x_in[25];
+ vX_[1752] = 0 - vX_[1742] + vX_[1752];
+ vX_[1742] = 0 - vX_[3584];
+ vX_[3588] = vX_[1688] * vX_[447] + vX_[1689] * vX_[449] + vX_[1683] * vX_[431] + vX_[1696] * vX_[430];
+ vX_[3571] = vX_[3661] * vX_[1690] + vX_[3644] * vX_[395] + vX_[1752] * vX_[1233] + vX_[1742] * vX_[43] -
+ vX_[3588] * x_in[25];
+ vX_[3516] = vX_[1666] * -3.44;
+ vX_[3511] = vX_[1667] * 0.1466472;
+ vX_[3497] = vX_[1680] * 0.5824264;
+ vX_[3499] = 0 - vX_[3516] + vX_[3511] - vX_[3497];
+ vX_[3515] = 0 - vX_[1923];
+ vX_[3498] = vX_[1668] * vX_[501] + vX_[1666] * vX_[475] + vX_[1675] * vX_[472] + vX_[1678] * vX_[605] +
+ vX_[1680] * vX_[553];
+ vX_[3443] = vX_[3572] * vX_[1686] + vX_[3571] * vX_[421] + vX_[3499] * vX_[10] + vX_[3515] * vX_[1882] -
+ vX_[3498] * x_in[24];
+ vX_[3438] = vX_[1399] + vX_[3737] + vX_[3630] - vX_[3693] - vX_[3696];
+ vX_[3424] = 0 - vX_[3438];
+ vX_[1413] = vX_[1413] + vX_[3424] * vX_[474];
+ vX_[1441] = vX_[1441] + vX_[3438] * vX_[393];
+ vX_[3426] = 0 - vX_[3686];
+ vX_[3442] = 0 - vX_[3675];
+ vX_[3712] = vX_[644] * vX_[1426] + vX_[1431] * vX_[620] + vX_[3725] * vX_[723] + vX_[3718] * vX_[590] +
+ vX_[4100] * vX_[624] + vX_[3712] * vX_[637];
+ vX_[4100] = vX_[3716] + vX_[3712] + vX_[3695] + vX_[3668] - vX_[3670] - vX_[3411];
+ vX_[3674] = vX_[4100] - vX_[3674];
+ vX_[3718] = 0 - vX_[3738];
+ vX_[3725] = 0 - vX_[3700];
+ vX_[1431] = 0 - vX_[3696];
+ vX_[644] = vX_[1768] - vX_[740];
+ vX_[3425] = vX_[1753] - vX_[740];
+ vX_[2931] = vX_[739] + vX_[44];
+ vX_[3343] = vX_[732] + vX_[4068];
+ vX_[2934] = vX_[574] + vX_[770];
+ vX_[3341] = 0 - vX_[2934];
+ vX_[3340] = vX_[644] * vX_[487] + vX_[2931] * vX_[485];
+ vX_[3338] = vX_[3425] * vX_[487];
+ vX_[2930] = vX_[644] * vX_[473] + vX_[2931] * vX_[487];
+ vX_[2929] = vX_[3425] * vX_[485];
+ vX_[3335] = vX_[2930] + vX_[2929];
+ vX_[3325] = vX_[1684] * 0.0004405 + vX_[1699] * -8.81e-05 + vX_[1724] * -0.000227999999999999;
+ vX_[3336] = vX_[1684] * 0.1104774 + vX_[1706] * -8.81e-05 + (0 - vX_[1715]) * 0.025713;
+ vX_[3333] = (0 - vX_[1699]) * 0.0004405;
+ vX_[3329] = (0 - vX_[1706]) * 0.1104774;
+ vX_[3319] = vX_[3333] + vX_[3329];
+ vX_[3319] = vX_[3697] * vX_[1931] + vX_[1705] * vX_[1617] + vX_[3325] * vX_[42] + vX_[3336] * vX_[46] +
+ vX_[3319] * vX_[1305] + vX_[3319] * vX_[1305];
+ vX_[1705] = vX_[1682] * -0.0825825 + (0 - vX_[1691]) * 0.000102 + vX_[1683] * 0.007418 + vX_[1696] * 0.002735;
+ vX_[3697] = vX_[1682] * 0.47422804 + vX_[1691] * 2.1e-05 + (0 - vX_[1683]) * 0.084376 + (0 - vX_[1696]) * 0.007418;
+ vX_[3332] = (0 - vX_[1688]) * -0.0825825;
+ vX_[3327] = (0 - vX_[1689]) * 0.47422804;
+ vX_[3322] = vX_[1683] * 0.000102;
+ vX_[3224] = (0 - vX_[1696]) * 2.1e-05;
+ vX_[3331] = vX_[3332] + vX_[3327] + vX_[3322] + vX_[3224];
+ vX_[3331] = vX_[3319] + vX_[3661] * vX_[1698] + vX_[3644] * vX_[400] + vX_[3589] * vX_[1145] +
+ vX_[1752] * vX_[916] + vX_[1705] * vX_[43] + vX_[3697] * vX_[15] + vX_[3331] * vX_[1233] +
+ vX_[3331] * vX_[1233];
+ vX_[1752] = vX_[1666] * 0.5824264 + (0 - vX_[1667]) * -0.022734 + vX_[1678] * -3.6e-05 + vX_[1680] * -0.133138;
+ vX_[3589] = vX_[1666] * 0.1466472 + vX_[1667] * 0.009466 + (0 - vX_[1678]) * -5.1e-05 + vX_[1680] * -0.022734;
+ vX_[3323] = (0 - vX_[1668]) * 0.5824264;
+ vX_[3314] = (0 - vX_[1675]) * 0.1466472;
+ vX_[3304] = (0 - vX_[1667]) * -3.6e-05;
+ vX_[3315] = (0 - vX_[1680]) * -5.1e-05;
+ vX_[3312] = vX_[3323] + vX_[3314] + vX_[3304] - vX_[3315];
+ vX_[3308] = vX_[1668] * vX_[506] + vX_[1666] * vX_[553] + vX_[1675] * vX_[608] + vX_[1678] * vX_[607] +
+ vX_[1680] * vX_[469];
+ vX_[3312] = vX_[3572] * vX_[1687] + vX_[3571] * vX_[439] + vX_[3331] * -1 + vX_[2084] * vX_[5] +
+ vX_[3515] * vX_[1543] + vX_[1752] * vX_[10] + vX_[3589] * vX_[2916] + vX_[3312] * vX_[1882] +
+ vX_[3312] * vX_[1882] + vX_[3308] * x_in[24];
+ vX_[1711] = vX_[1699] * 0.1104774 + vX_[1706] * 0.0004405 + vX_[1711] * 0.025941;
+ vX_[3515] = (0 - vX_[1684]) * -8.81e-05;
+ vX_[3329] = vX_[3515] + vX_[3329];
+ vX_[1724] = vX_[1684] * 0.0004405 + vX_[1699] * 8.81e-05 + vX_[1724] * 0.000468;
+ vX_[3329] = vX_[996] * vX_[4114] + vX_[1749] * vX_[1617] + vX_[3325] * vX_[1305] + vX_[1711] * vX_[46] +
+ vX_[3329] * vX_[42] + vX_[3329] * vX_[42] + vX_[1724] * x_in[26];
+ vX_[3515] = vX_[3515] + vX_[3333];
+ vX_[1715] = vX_[1684] * -0.1104774 + vX_[1706] * -8.81e-05 + vX_[1715] * 0.026409;
+ vX_[3515] = vX_[2083] * vX_[4114] + vX_[3643] * vX_[1931] + vX_[3336] * vX_[1305] + vX_[1711] * vX_[42] +
+ vX_[3515] * vX_[46] + vX_[3515] * vX_[46] - vX_[1715] * x_in[26];
+ vX_[1711] = vX_[1688] * 0.47422804 + vX_[1689] * -0.0825825 + vX_[1691] * 0.081641 + (0 - vX_[1683]) * 2.1e-05 +
+ vX_[1696] * 0.000102;
+ vX_[3336] = (0 - vX_[1691]) * 0.007418;
+ vX_[3224] = vX_[3327] + vX_[3336] - vX_[3224];
+ vX_[3327] = vX_[1682] * vX_[415] + vX_[1688] * vX_[430] + vX_[1689] * vX_[420] + vX_[1683] * vX_[464] +
+ vX_[1696] * vX_[460];
+ vX_[3224] = vX_[4137] * -0.35 + vX_[3329] * vX_[395] + vX_[3515] * vX_[397] + vX_[1858] * vX_[4117] +
+ vX_[1742] * vX_[916] + vX_[1705] * vX_[1233] + vX_[1711] * vX_[15] + vX_[3224] * vX_[43] +
+ vX_[3224] * vX_[43] + vX_[3327] * x_in[25];
+ vX_[3336] = vX_[3332] - vX_[3336] - vX_[3322];
+ vX_[3322] = vX_[1682] * vX_[427] + vX_[1688] * vX_[431] + vX_[1689] * vX_[425] + vX_[1683] * vX_[458] +
+ vX_[1696] * vX_[464];
+ vX_[3336] = vX_[3329] * vX_[398] + vX_[3515] * vX_[395] + vX_[1710] * vX_[4117] + vX_[3584] * vX_[1145] +
+ vX_[3697] * vX_[1233] + vX_[1711] * vX_[43] + vX_[3336] * vX_[15] + vX_[3336] * vX_[15] -
+ vX_[3322] * x_in[25];
+ vX_[3497] = vX_[3516] - vX_[3511] + vX_[3497];
+ vX_[3511] = vX_[1668] * 0.1466472 + vX_[1675] * 0.5824264 + vX_[1667] * -5.1e-05 + (0 - vX_[1678]) * -0.123672 +
+ (0 - vX_[1680]) * -3.6e-05;
+ vX_[3516] = vX_[1678] * -0.022734;
+ vX_[3304] = vX_[3323] - vX_[3304] - vX_[3516];
+ vX_[3323] = vX_[1668] * vX_[443] + vX_[1666] * vX_[605] + vX_[1675] * vX_[554] + vX_[1678] * vX_[552] +
+ vX_[1680] * vX_[607];
+ vX_[3304] = vX_[3224] * vX_[433] + vX_[3336] * vX_[421] + vX_[3497] * vX_[5] + vX_[1923] * vX_[4129] +
+ vX_[3511] * vX_[10] + vX_[3589] * vX_[1882] + vX_[3304] * vX_[2916] + vX_[3304] * vX_[2916] -
+ vX_[3323] * x_in[24];
+ vX_[1941] = vX_[1941] * vX_[2082];
+ vX_[3589] = vX_[1941] * vX_[395];
+ vX_[1943] = vX_[1943] * vX_[2082];
+ vX_[1923] = vX_[1943] * vX_[1702];
+ vX_[1945] = vX_[1945] * vX_[2082];
+ vX_[1711] = 0 - vX_[1945];
+ vX_[1716] = vX_[1716] * vX_[2077];
+ vX_[3697] = vX_[1716] * vX_[395];
+ vX_[3584] = vX_[1716] * vX_[1702];
+ vX_[1710] = 0 - vX_[3584];
+ vX_[1894] = vX_[1894] * vX_[2089];
+ vX_[3332] = vX_[1894] * vX_[1702];
+ vX_[1735] = vX_[1735] * vX_[1911];
+ vX_[1705] = vX_[1735] * vX_[395];
+ vX_[1725] = vX_[1725] * vX_[2077];
+ vX_[1742] = vX_[1725] * vX_[395];
+ vX_[1858] = vX_[1725] * vX_[1702];
+ vX_[4137] = vX_[1894] * vX_[395];
+ vX_[1900] = vX_[1900] * vX_[2089];
+ vX_[3643] = 0 - vX_[1900];
+ vX_[2083] = vX_[3643] * vX_[395];
+ vX_[1706] = vX_[1900] * vX_[1702];
+ vX_[1684] = vX_[1941] + vX_[1735];
+ vX_[1740] = vX_[1740] * vX_[1911];
+ vX_[3333] = 0 - vX_[1943] - vX_[1740];
+ vX_[3325] = vX_[1684] * vX_[1702] + vX_[3333] * vX_[395];
+ vX_[1749] = vX_[1740] * vX_[1702];
+ vX_[1917] = vX_[1917] * vX_[2089] + vX_[1755] * vX_[2077];
+ vX_[1755] = 0 - vX_[1917];
+ vX_[996] = 0 - vX_[1917];
+ vX_[1699] = vX_[996] * vX_[395];
+ vX_[3298] = vX_[1917] * vX_[1702];
+ vX_[3311] = vX_[1918] * vX_[1830] + vX_[2086] * vX_[1782] + vX_[2092] * vX_[1814];
+ vX_[3306] = 0 - vX_[3311];
+ vX_[3301] = vX_[1918] * vX_[1920] + vX_[2086] * vX_[1815] + vX_[2092] * vX_[1776];
+ vX_[3151] = vX_[3306] * x_in[18] + vX_[3301] * x_in[19];
+ vX_[3310] = 0 - vX_[3151];
+ vX_[3302] = 0 - vX_[3151];
+ vX_[3293] = vX_[3302] * vX_[395];
+ vX_[3283] = vX_[3151] * vX_[1702];
+ vX_[1918] = vX_[1918] * vX_[1812] + vX_[2086] * vX_[1831] + vX_[2092] * vX_[1921];
+ jac[918] = vX_[3588] * vX_[1708] + vX_[3570] * vX_[1145] + vX_[3322] * vX_[2090] + vX_[3327] * vX_[43] + vX_[3331] +
+ vX_[1918] * vX_[1835] + vX_[3311] * vX_[1788] + vX_[3301] * vX_[1821];
+ jac[954] = vX_[1737] * vX_[1739] + vX_[3645] * vX_[1931] + vX_[1715] * vX_[6] + vX_[1724] * vX_[42] + vX_[3319] +
+ vX_[1918] * vX_[1845] + vX_[3311] * vX_[1799] + vX_[3301] * vX_[1818];
+ vX_[1715] = vX_[1918] * x_in[26];
+ vX_[1724] = vX_[1715] * vX_[395];
+ vX_[3319] = vX_[1715] * vX_[1702];
+ vX_[1737] = vX_[1918] * x_in[25];
+ vX_[3645] = vX_[3311] * x_in[24];
+ vX_[3322] = 0 - vX_[3645];
+ vX_[3327] = vX_[1737] * vX_[395];
+ vX_[3331] = 0 - vX_[3645];
+ vX_[3588] = vX_[3331] * vX_[395];
+ vX_[3570] = vX_[1737] * vX_[1702];
+ vX_[2092] = vX_[3645] * vX_[1702];
+ vX_[2086] = vX_[1965] * vX_[1876];
+ vX_[3294] = 0 - vX_[2086];
+ vX_[3291] = 0 - vX_[2086];
+ vX_[3287] = vX_[3291] * vX_[395];
+ vX_[3277] = vX_[2086] * vX_[1702];
+ vX_[3290] = sin(x_in[6]);
+ vX_[3285] = 0 - vX_[1413];
+ vX_[3280] = 0 - vX_[1441];
+ vX_[4100] = 0 - vX_[4100] + vX_[3665];
+ vX_[3665] = 0 - vX_[3672];
+ vX_[2934] = 0 - vX_[2934];
+ vX_[1700] = vX_[1700] * vX_[2077];
+ vX_[3078] = vX_[1700] * vX_[1702];
+ vX_[1707] = vX_[1707] * vX_[2077];
+ vX_[3289] = 0 - vX_[1707];
+ vX_[3281] = vX_[3289] * vX_[395];
+ vX_[1712] = vX_[1712] * vX_[2077];
+ vX_[3272] = 0 - vX_[1712];
+ vX_[1892] = vX_[1892] * vX_[2089];
+ vX_[1948] = vX_[1948] * vX_[2082];
+ vX_[3262] = vX_[1948] * vX_[395];
+ vX_[3273] = vX_[1948] * vX_[1702];
+ vX_[1913] = vX_[1913] * vX_[2079];
+ vX_[3270] = vX_[1913] * vX_[1702];
+ vX_[1956] = vX_[1956] * vX_[2082];
+ vX_[3266] = vX_[1956] * vX_[395];
+ vX_[3253] = 0 - vX_[3266];
+ vX_[3269] = vX_[1956] * vX_[1702];
+ vX_[1915] = vX_[1915] * vX_[2079];
+ vX_[3264] = 0 - vX_[1915];
+ vX_[3259] = vX_[3264] * vX_[395];
+ vX_[3005] = vX_[1700] + vX_[1913];
+ vX_[1915] = vX_[1707] + vX_[1915];
+ vX_[1707] = vX_[3005] * vX_[395] + vX_[1915] * vX_[1702];
+ vX_[1905] = vX_[1905] * vX_[2089] + vX_[1754] * vX_[2082];
+ vX_[1754] = 0 - vX_[1905];
+ vX_[3268] = 0 - vX_[1905];
+ vX_[3260] = vX_[3268] * vX_[395];
+ vX_[3256] = vX_[1905] * vX_[1702];
+ vX_[3251] = 0 - vX_[3301];
+ vX_[3237] = vX_[1918] * x_in[18] + vX_[3251] * x_in[20];
+ vX_[3239] = 0 - vX_[3237];
+ vX_[3255] = vX_[3237] * vX_[1702];
+ vX_[3238] = vX_[1918] * x_in[24];
+ vX_[3183] = vX_[3238] * vX_[1702];
+ vX_[3178] = vX_[3311] * x_in[26];
+ vX_[3164] = vX_[3178] * vX_[395];
+ vX_[3166] = vX_[3178] * vX_[1702];
+ vX_[3182] = vX_[3311] * x_in[25];
+ vX_[3165] = vX_[3238] * vX_[395];
+ vX_[3110] = vX_[3182] * vX_[395];
+ vX_[3105] = vX_[3182] * vX_[1702];
+ vX_[3091] = vX_[1965] * vX_[1866];
+ vX_[3093] = 0 - vX_[3091];
+ vX_[3109] = 0 - vX_[3237];
+ vX_[3092] = 0 - vX_[3091];
+ vX_[3037] = vX_[3109] * vX_[395] + vX_[3092] * vX_[395];
+ vX_[3032] = vX_[3091] * vX_[1702];
+ vX_[3018] = cos(x_in[6]);
+ jac[234] =
+ 0 -
+ (0 - (vX_[738] * vX_[4135] + vX_[4113] * x_in[22]) +
+ (vX_[669] * vX_[4135] + vX_[3683] * vX_[487] + vX_[4113] * x_in[20]) * -0.3735 -
+ (vX_[714] * vX_[3739] + vX_[3443] * x_in[23]) + (vX_[673] * vX_[3739] + vX_[3443] * x_in[19]) * 0.3735 +
+ (vX_[162] * vX_[3739] +
+ (vX_[1422] * vX_[556] + vX_[3672] * vX_[611] + vX_[3438] * vX_[500] + vX_[3691] * vX_[502] +
+ vX_[1413] * vX_[472] + vX_[1441] * vX_[481] + vX_[3426] * vX_[484] + vX_[3442] * vX_[501] +
+ vX_[3674] * vX_[490] + vX_[3718] * vX_[554] + vX_[3672] * vX_[608] + vX_[3725] * vX_[443] +
+ vX_[1431] * vX_[561]) *
+ -1 +
+ vX_[3443] * x_in[18]) *
+ -0.207 -
+ (vX_[669] * vX_[1456] + vX_[673] * vX_[1893] + vX_[644] * vX_[719] + vX_[3425] * vX_[717] +
+ vX_[2931] * vX_[715] + vX_[3343] * vX_[688] + vX_[3341] * vX_[490] + vX_[3340] * vX_[696] +
+ vX_[3338] * vX_[695] + vX_[3335] * vX_[472] + vX_[3484] * vX_[680] + vX_[3678] * vX_[658] +
+ vX_[708] * vX_[508] + vX_[1542] * vX_[498] + vX_[3695] * vX_[681] + vX_[3668] * vX_[661] +
+ vX_[3729] * vX_[659] + vX_[3687] * vX_[610] + vX_[1437] * vX_[660] + vX_[3679] * vX_[657] +
+ vX_[3721] * vX_[497] + vX_[3710] * vX_[507] + vX_[1394] * vX_[617] + vX_[1639] * vX_[615] +
+ vX_[679] * vX_[613] + vX_[702] * vX_[634] + vX_[4103] * vX_[635] + vX_[3728] * vX_[562] +
+ vX_[683] * vX_[558] + vX_[685] * vX_[612] + vX_[3683] * vX_[488] + vX_[3312] * x_in[19] +
+ vX_[3304] * x_in[20]) +
+ vX_[1685] * vX_[2077] + vX_[1912] * vX_[2079] + vX_[3589] * vX_[394] + vX_[1923] * vX_[394] +
+ vX_[1711] * vX_[394] * 0.35 + vX_[1945] * 0.3735 + vX_[3697] * 0.35 + vX_[3697] * vX_[421] * 0.08 +
+ vX_[3697] * vX_[394] * -0.3735 + vX_[1710] * vX_[421] * 0.3735 + vX_[3584] * vX_[394] * -0.08 +
+ vX_[3332] * vX_[421] * 0.207 + vX_[1705] * vX_[394] + vX_[1742] * vX_[421] * 0.3735 +
+ vX_[1742] * vX_[394] * 0.08 + vX_[1858] * 0.35 + vX_[1858] * vX_[394] * -0.3735 +
+ (vX_[4137] * vX_[394] + vX_[2083] * vX_[421]) * 0.207 + vX_[1706] * vX_[394] * 0.207 +
+ vX_[3325] * vX_[421] + vX_[1749] * vX_[394] + (vX_[1858] * vX_[421] - vX_[1917]) * 0.08 +
+ vX_[1755] * vX_[421] * 0.35 + vX_[1699] * vX_[421] * 0.33 + vX_[3298] * vX_[394] * 0.33 +
+ (0 - vX_[3151]) * 0.08 + vX_[3310] * vX_[421] * 0.35 + vX_[3293] * vX_[421] * 0.33 +
+ vX_[3283] * vX_[394] * 0.33 + vX_[1724] * vX_[394] * 0.33 + vX_[3319] * vX_[421] * 0.33 +
+ vX_[1737] * vX_[394] * 0.35 + (0 - vX_[3645]) * 0.08 + vX_[3322] * vX_[421] * 0.35 +
+ (vX_[3327] * vX_[394] + vX_[3588] * vX_[421]) * 0.33 +
+ (vX_[3570] * vX_[421] + vX_[2092] * vX_[394]) * 0.33 + (0 - vX_[2086]) * 0.08 +
+ vX_[3294] * vX_[421] * 0.35 + vX_[3287] * vX_[421] * 0.33 + vX_[3277] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[714] * vX_[4135] + vX_[669] * vX_[1893] + vX_[644] * vX_[715] + vX_[3343] * vX_[490] +
+ vX_[2930] * vX_[695] + vX_[3340] * vX_[472] + vX_[3678] * vX_[661] + vX_[708] * vX_[498] +
+ vX_[3695] * vX_[680] + vX_[3729] * vX_[660] + vX_[3687] * vX_[657] + vX_[3721] * vX_[507] +
+ vX_[1394] * vX_[613] + vX_[702] * vX_[635] + vX_[3733] * vX_[558] + vX_[3728] * vX_[612] +
+ (vX_[3738] * vX_[609] + vX_[3659] * vX_[452] + vX_[3700] * vX_[502] + vX_[3424] * vX_[476] +
+ vX_[3693] * vX_[491] + vX_[3285] * vX_[475] + vX_[656] * vX_[484] + vX_[3280] * vX_[472] +
+ vX_[390] * vX_[490] + vX_[4100] * vX_[501] + vX_[3738] * vX_[605] + vX_[3665] * vX_[553] +
+ vX_[3700] * vX_[506] + vX_[3693] * vX_[550]) *
+ 0.207 +
+ vX_[4113] * x_in[23] + vX_[3312] * x_in[20] +
+ (vX_[673] * vX_[4135] + vX_[3683] * vX_[485] + vX_[4113] * x_in[19]) * -0.3735 +
+ (vX_[162] * vX_[4135] + vX_[4113] * x_in[18]) * 0.207 - (vX_[738] * vX_[3739] + vX_[3443] * x_in[22]) +
+ (vX_[669] * vX_[3739] + vX_[3443] * x_in[20]) * -0.3735 -
+ (vX_[673] * vX_[1456] + vX_[3425] * vX_[716] + vX_[2931] * vX_[719] + vX_[2934] * vX_[688] +
+ vX_[3338] * vX_[472] + vX_[2929] * vX_[696] + vX_[3484] * vX_[681] + vX_[1542] * vX_[508] +
+ vX_[3668] * vX_[658] + vX_[1437] * vX_[659] + vX_[3679] * vX_[610] + vX_[3710] * vX_[497] +
+ vX_[1639] * vX_[614] + vX_[679] * vX_[617] + vX_[3714] * vX_[634] + vX_[683] * vX_[612] +
+ vX_[2046] * vX_[562] + vX_[3683] * vX_[486] + vX_[3304] * x_in[19]) -
+ vX_[1939] * vX_[2082] + vX_[3078] * vX_[421] + vX_[3281] * vX_[421] + vX_[3272] * vX_[394] * 0.35 +
+ vX_[1712] * 0.3735 + (0 - vX_[1892]) * 0.207 - vX_[1733] * vX_[1911] + (0 - vX_[3262]) * 0.35 +
+ (0 - vX_[3262] * vX_[421]) * 0.08 + vX_[3262] * vX_[394] * 0.3735 + vX_[3273] * vX_[421] * 0.3735 +
+ vX_[3273] * vX_[394] * 0.08 + vX_[3270] * vX_[421] + vX_[3253] * vX_[421] * 0.3735 +
+ (0 - vX_[3266] * vX_[394]) * 0.08 + (0 - vX_[3269]) * 0.35 + (0 - vX_[3269] * vX_[421]) * 0.08 +
+ vX_[3269] * vX_[394] * 0.3735 + vX_[3259] * vX_[421] + vX_[1707] * vX_[394] + (0 - vX_[1905]) * 0.08 +
+ vX_[1754] * vX_[421] * 0.35 + vX_[3260] * vX_[421] * 0.33 + vX_[3256] * vX_[394] * 0.33 +
+ (0 - vX_[3237]) * 0.08 + vX_[3239] * vX_[421] * 0.35 + vX_[3255] * vX_[394] * 0.33 + vX_[3238] * 0.08 +
+ vX_[3238] * vX_[421] * 0.35 + vX_[3183] * vX_[394] * -0.33 + vX_[3164] * vX_[394] * 0.33 +
+ vX_[3166] * vX_[421] * 0.33 + vX_[3182] * vX_[394] * 0.35 +
+ (vX_[3165] * vX_[421] + vX_[3110] * vX_[394]) * 0.33 + vX_[3105] * vX_[421] * 0.33 +
+ (0 - vX_[3091]) * 0.08 + vX_[3093] * vX_[421] * 0.35 + vX_[3037] * vX_[421] * 0.33 +
+ vX_[3032] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[1712] = vX_[2381] * 0.881 + (0 - vX_[2383]) * 0.0004405 + vX_[2385] * -8.81e-05;
+ vX_[1945] = vX_[2379] * -0.881;
+ vX_[2931] = vX_[2383] * 0.1104774;
+ vX_[3425] = vX_[2387] * -8.81e-05;
+ vX_[644] = vX_[1945] - vX_[2931] + vX_[3425];
+ vX_[3424] = vX_[1712] * vX_[42] + vX_[644] * vX_[46];
+ vX_[3438] = vX_[2371] * 3.146 + (0 - vX_[2372]) * -0.0825825;
+ vX_[3683] = vX_[2370] * -3.146;
+ vX_[3659] = vX_[2372] * 0.47422804;
+ vX_[4103] = vX_[3683] - vX_[3659];
+ vX_[1437] = vX_[3424] + vX_[3438] * vX_[43] + vX_[4103] * vX_[15];
+ vX_[3729] = vX_[2359] * 3.44 + vX_[2362] * 0.5824264;
+ vX_[1422] = 0 - vX_[3729];
+ vX_[3714] = vX_[2353] * 3.44 + (0 - vX_[2362]) * 0.1466472;
+ vX_[702] = vX_[2353] * vX_[490] + vX_[2325] * vX_[472] + vX_[2359] * vX_[481] + vX_[2362] * vX_[554] +
+ vX_[2364] * vX_[608];
+ vX_[3679] = vX_[1437] * -1 + vX_[1422] * vX_[10] + vX_[3714] * vX_[2916] + vX_[702] * x_in[24];
+ vX_[3668] = 0 - vX_[2116] * vX_[4116];
+ vX_[3678] = 0 - vX_[3668];
+ vX_[3687] = 0 - vX_[3668];
+ vX_[2115] = (vX_[2115] * vX_[4116] + vX_[3687] * vX_[743]) * 1 / vX_[718];
+ vX_[3695] = 0 - vX_[2115];
+ vX_[3484] = 0 - vX_[3668];
+ vX_[3691] = 0 - vX_[2115];
+ vX_[2111] = (vX_[2111] * vX_[4116] + vX_[3484] * vX_[689] + vX_[3691] * vX_[736]) * 1 / vX_[721];
+ vX_[3710] = 0 - vX_[2111];
+ vX_[2108] =
+ (vX_[2108] * vX_[4116] + vX_[3678] * vX_[682] + vX_[3695] * vX_[730] + vX_[3710] * vX_[509]) * 1 / vX_[618];
+ vX_[3687] = vX_[2117] * vX_[1853] + vX_[3687] * vX_[712];
+ vX_[2117] = 0 - vX_[3687];
+ vX_[708] = 0 - vX_[2114] * vX_[1853] - vX_[2115] * vX_[712];
+ vX_[3721] = 0 - vX_[708];
+ vX_[1542] = 0 - vX_[3687];
+ vX_[685] = 0 - vX_[708];
+ vX_[2113] = (vX_[2113] * vX_[4108] + vX_[1542] * vX_[689] + vX_[685] * vX_[736]) * 1 / vX_[721];
+ vX_[2046] = 0 - vX_[2113];
+ vX_[2112] =
+ (vX_[2112] * vX_[4108] + vX_[2117] * vX_[682] + vX_[3721] * vX_[730] + vX_[2046] * vX_[509]) * 1 / vX_[618];
+ vX_[1542] = vX_[2120] * vX_[41] + vX_[3484] * vX_[722] + vX_[1542] * vX_[737];
+ vX_[3484] = 0 - vX_[1542];
+ vX_[685] = vX_[2121] * vX_[41] + vX_[3691] * vX_[722] + vX_[685] * vX_[737];
+ vX_[3691] = 0 - vX_[685];
+ vX_[2121] = 0 - vX_[2110] * vX_[41] - vX_[2111] * vX_[722] - vX_[2113] * vX_[737];
+ vX_[2120] = 0 - vX_[2121];
+ vX_[2109] =
+ (vX_[2109] * vX_[1647] + vX_[3484] * vX_[682] + vX_[3691] * vX_[730] + vX_[2120] * vX_[509]) * 1 / vX_[618];
+ vX_[3733] = 0 - vX_[2123] * vX_[801] - vX_[2108] * vX_[604] - vX_[2112] * vX_[731] - vX_[2109] * vX_[664];
+ vX_[683] = 0 - vX_[3668];
+ vX_[1639] = 0 - vX_[2115];
+ vX_[3728] = 0 - vX_[2111];
+ vX_[679] = 0 - vX_[2108];
+ vX_[1394] = 0 - vX_[3668];
+ vX_[1939] = 0 - vX_[2115];
+ vX_[1912] = 0 - vX_[2111];
+ vX_[1733] = 0 - vX_[2108];
+ vX_[1685] =
+ (vX_[4116] + vX_[1394] * vX_[662] + vX_[1939] * vX_[633] + vX_[1912] * vX_[691] + vX_[1733] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[3020] = 0 - vX_[1685];
+ vX_[3036] = (vX_[683] * vX_[510] + vX_[1639] * vX_[518] + vX_[3728] * vX_[690] + vX_[679] * vX_[628] +
+ vX_[3020] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3019] = 0 - vX_[3687];
+ vX_[2935] = 0 - vX_[708];
+ vX_[2933] = 0 - vX_[2113];
+ vX_[2932] = 0 - vX_[2112];
+ vX_[2927] = 0 - vX_[3687];
+ vX_[2926] = 0 - vX_[708];
+ vX_[2923] = 0 - vX_[2113];
+ vX_[1544] = 0 - vX_[2112];
+ vX_[1886] =
+ (vX_[4108] + vX_[2927] * vX_[662] + vX_[2926] * vX_[633] + vX_[2923] * vX_[691] + vX_[1544] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[1781] = 0 - vX_[1886];
+ vX_[1883] = (vX_[3019] * vX_[510] + vX_[2935] * vX_[518] + vX_[2933] * vX_[690] + vX_[2932] * vX_[628] +
+ vX_[1781] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1553] = 0 - vX_[1542];
+ vX_[1846] = 0 - vX_[685];
+ vX_[1457] = 0 - vX_[2121];
+ vX_[1561] = 0 - vX_[2109];
+ vX_[9099] = 0 - vX_[1542];
+ vX_[1503] = 0 - vX_[685];
+ vX_[1552] = 0 - vX_[2121];
+ vX_[1569] = 0 - vX_[2109];
+ vX_[1234] =
+ (vX_[1647] + vX_[9099] * vX_[662] + vX_[1503] * vX_[633] + vX_[1552] * vX_[691] + vX_[1569] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[1573] = 0 - vX_[1234];
+ vX_[1469] = (vX_[1553] * vX_[510] + vX_[1846] * vX_[518] + vX_[1457] * vX_[690] + vX_[1561] * vX_[628] +
+ vX_[1573] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3484] = vX_[2118] * vX_[801] + vX_[3678] * vX_[604] + vX_[2117] * vX_[731] + vX_[3484] * vX_[664];
+ vX_[2117] = 0 - vX_[3484];
+ vX_[3691] = vX_[2119] * vX_[801] + vX_[3695] * vX_[604] + vX_[3721] * vX_[731] + vX_[3691] * vX_[664];
+ vX_[3721] = 0 - vX_[3691];
+ vX_[2120] = vX_[2122] * vX_[801] + vX_[3710] * vX_[604] + vX_[2046] * vX_[731] + vX_[2120] * vX_[664];
+ vX_[2046] = 0 - vX_[2120];
+ vX_[3710] = 0 - vX_[3733];
+ vX_[2122] = 0 - vX_[3484];
+ vX_[3695] = 0 - vX_[3691];
+ vX_[2119] = 0 - vX_[2120];
+ vX_[3678] = 0 - vX_[3733];
+ vX_[2118] =
+ (vX_[3708] + vX_[2122] * vX_[662] + vX_[3695] * vX_[633] + vX_[2119] * vX_[691] + vX_[3678] * vX_[667]) * 1 /
+ vX_[616];
+ vX_[1570] = 0 - vX_[2118];
+ vX_[1243] = (vX_[2117] * vX_[510] + vX_[3721] * vX_[518] + vX_[2046] * vX_[690] + vX_[3710] * vX_[628] +
+ vX_[1570] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2122] = vX_[2124] * vX_[1083] + vX_[1394] * vX_[602] + vX_[2927] * vX_[725] + vX_[9099] * vX_[666] +
+ vX_[2122] * vX_[668];
+ vX_[9099] = 0 - vX_[2122];
+ vX_[3695] = vX_[2125] * vX_[1083] + vX_[1939] * vX_[602] + vX_[2926] * vX_[725] + vX_[1503] * vX_[666] +
+ vX_[3695] * vX_[668];
+ vX_[1503] = 0 - vX_[3695];
+ vX_[2119] = vX_[2126] * vX_[1083] + vX_[1912] * vX_[602] + vX_[2923] * vX_[725] + vX_[1552] * vX_[666] +
+ vX_[2119] * vX_[668];
+ vX_[1552] = 0 - vX_[2119];
+ vX_[3678] = vX_[2127] * vX_[1083] + vX_[1733] * vX_[602] + vX_[1544] * vX_[725] + vX_[1569] * vX_[666] +
+ vX_[3678] * vX_[668];
+ vX_[1569] = 0 - vX_[3678];
+ vX_[1544] = 0 - vX_[2128] * vX_[1083] - vX_[1685] * vX_[602] - vX_[1886] * vX_[725] - vX_[1234] * vX_[666] -
+ vX_[2118] * vX_[668];
+ vX_[1733] = 0 - vX_[1544];
+ vX_[2127] = (vX_[9099] * vX_[510] + vX_[1503] * vX_[518] + vX_[1552] * vX_[690] + vX_[1569] * vX_[628] +
+ vX_[1733] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2923] = 0 - vX_[2134] * vX_[1426] - vX_[3036] * vX_[620] - vX_[1883] * vX_[723] - vX_[1469] * vX_[590] -
+ vX_[1243] * vX_[624] - vX_[2127] * vX_[637];
+ vX_[1912] = vX_[3733] - vX_[2923];
+ vX_[2126] = vX_[2118] + vX_[3678];
+ vX_[2926] = vX_[1912] * vX_[487] + vX_[2126] * vX_[485];
+ vX_[1939] = vX_[1544] - vX_[2923];
+ vX_[2125] = vX_[1939] * vX_[487];
+ vX_[2927] = vX_[1912] * vX_[473] + vX_[2126] * vX_[487];
+ vX_[1394] = vX_[1939] * vX_[485];
+ vX_[2124] = vX_[2927] + vX_[1394];
+ vX_[1536] = vX_[2926] * vX_[473] + vX_[2125] * vX_[485] + vX_[2124] * vX_[487];
+ vX_[1146] = 0 - vX_[1536];
+ vX_[1251] = vX_[2923] + vX_[2927] * vX_[473] + vX_[2125] * vX_[487];
+ vX_[9035] = 0 - vX_[1251];
+ vX_[1193] = vX_[2923] + vX_[2926] * vX_[487] + vX_[1394] * vX_[485];
+ vX_[1503] = vX_[2130] * vX_[1426] + vX_[1639] * vX_[620] + vX_[2935] * vX_[723] + vX_[1846] * vX_[590] +
+ vX_[3721] * vX_[624] + vX_[1503] * vX_[637];
+ vX_[3721] = vX_[1883] + vX_[1503];
+ vX_[1846] = vX_[1234] + vX_[2119] - vX_[3721];
+ vX_[9099] = vX_[2129] * vX_[1426] + vX_[683] * vX_[620] + vX_[3019] * vX_[723] + vX_[1553] * vX_[590] +
+ vX_[2117] * vX_[624] + vX_[9099] * vX_[637];
+ vX_[2117] = vX_[3036] + vX_[9099];
+ vX_[1553] = 0 - (vX_[2109] + vX_[2120]) + vX_[2117];
+ vX_[3019] = (vX_[2117] * vX_[473] + vX_[3721] * vX_[487]) * -1;
+ vX_[683] = 0 - (vX_[1846] * vX_[487] + vX_[1553] * vX_[485]) + vX_[3019];
+ vX_[2129] = vX_[683] + vX_[1251] * vX_[474];
+ vX_[2935] = 0 - vX_[2129];
+ vX_[1639] = (vX_[2117] * vX_[487] + vX_[3721] * vX_[485]) * -1;
+ vX_[2130] = vX_[1846] * vX_[473] + vX_[1553] * vX_[487] + vX_[1639];
+ vX_[1242] = 0 - vX_[1193];
+ vX_[1257] = vX_[2130] + vX_[1536] * vX_[474] + vX_[1242] * vX_[393];
+ vX_[917] = vX_[2112] + vX_[3691];
+ vX_[1261] = vX_[2108] + vX_[3484];
+ vX_[1158] = vX_[917] * vX_[485] + vX_[1261] * vX_[487];
+ vX_[1258] = vX_[1685] + vX_[2122];
+ vX_[926] = vX_[1886] + vX_[3695];
+ vX_[1226] = vX_[1258] * vX_[487] + vX_[926] * vX_[485];
+ vX_[832] = vX_[1158] * vX_[473] + vX_[1226] * vX_[487];
+ vX_[1733] = vX_[2133] * vX_[1426] + vX_[3020] * vX_[620] + vX_[1781] * vX_[723] + vX_[1573] * vX_[590] +
+ vX_[1570] * vX_[624] + vX_[1733] * vX_[637];
+ vX_[1570] = vX_[2127] + vX_[1733];
+ vX_[1569] = vX_[2132] * vX_[1426] + vX_[679] * vX_[620] + vX_[2932] * vX_[723] + vX_[1561] * vX_[590] +
+ vX_[3710] * vX_[624] + vX_[1569] * vX_[637];
+ vX_[3710] = vX_[1243] + vX_[1569];
+ vX_[1561] = 0 - vX_[3710];
+ vX_[2932] = vX_[1570] * vX_[487] + vX_[1561] * vX_[485];
+ vX_[679] = 0 - vX_[2932];
+ vX_[2132] = vX_[832] + vX_[679] * vX_[393] + vX_[9035] * vX_[489];
+ vX_[1573] = 0 - vX_[2132];
+ vX_[1781] = vX_[917] * vX_[487] + vX_[1261] * vX_[473];
+ vX_[3020] = vX_[1258] * vX_[473] + vX_[926] * vX_[487];
+ vX_[2133] = vX_[1781] * vX_[487] + vX_[3020] * vX_[485];
+ vX_[3710] = 0 - vX_[3710];
+ vX_[936] = vX_[1570] * vX_[473] + vX_[3710] * vX_[487];
+ vX_[8971] = 0 - vX_[936];
+ vX_[876] = vX_[2133] + vX_[8971] * vX_[474] + vX_[1193] * vX_[489];
+ vX_[925] = vX_[1781] * vX_[473] + vX_[3020] * vX_[487];
+ vX_[946] = vX_[925] + vX_[2932] * vX_[474];
+ vX_[1932] = vX_[1158] * vX_[487] + vX_[1226] * vX_[485];
+ vX_[950] = vX_[1932] + vX_[936] * vX_[393] + vX_[1146] * vX_[489];
+ vX_[844] = 0 - vX_[946] + vX_[950];
+ vX_[947] = 0 - vX_[1536];
+ vX_[1971] = 0 - vX_[1251];
+ vX_[9035] = vX_[1146] * vX_[611] + vX_[9035] * vX_[556] + vX_[1193] * vX_[452] + vX_[2935] * vX_[490] +
+ vX_[1257] * vX_[501] + vX_[1573] * vX_[481] + vX_[876] * vX_[475] + vX_[844] * vX_[472] +
+ vX_[947] * vX_[608] + vX_[1536] * vX_[605] + vX_[1971] * vX_[555] + vX_[1193] * vX_[559];
+ vX_[1146] = 0 - vX_[1712];
+ vX_[909] = vX_[2368] * 0.881 + (0 - vX_[2385]) * 0.1104774 + vX_[2387] * 0.0004405;
+ vX_[9128] = vX_[2379] * 0.00185880198235362 + vX_[2381] * 0.880992588508842 + vX_[2385] * -8.81e-05;
+ vX_[1974] = vX_[1146] * vX_[1305] + vX_[909] * vX_[46] + vX_[9128] * x_in[26];
+ vX_[3425] = 0 - vX_[1945] + vX_[2931] - vX_[3425];
+ vX_[2931] = 0 - vX_[909];
+ vX_[1945] = vX_[2379] * 0.414812462825713 + vX_[2381] * 0.00185880198235362 + vX_[2387] * 8.81e-05;
+ vX_[8907] = vX_[3425] * vX_[1305] + vX_[2931] * vX_[42] - vX_[1945] * x_in[26];
+ vX_[9132] = 0 - vX_[3438];
+ vX_[1938] = vX_[2366] * 3.146 + (0 - vX_[2367]) * 0.47422804 + vX_[2377] * -0.0825825;
+ vX_[1937] = vX_[2370] * vX_[449] + vX_[2371] * vX_[448] + vX_[2367] * vX_[425] + vX_[2377] * vX_[420];
+ vX_[9126] = vX_[1974] * vX_[395] + vX_[8907] * vX_[397] + vX_[9132] * vX_[1233] + vX_[1938] * vX_[15] +
+ vX_[1937] * x_in[25];
+ vX_[3659] = 0 - vX_[3683] + vX_[3659];
+ vX_[3683] = 0 - vX_[1938];
+ vX_[9112] = vX_[2370] * vX_[447] + vX_[2371] * vX_[449] + vX_[2367] * vX_[431] + vX_[2377] * vX_[430];
+ vX_[9114] = vX_[1974] * vX_[1690] + vX_[8907] * vX_[395] + vX_[3659] * vX_[1233] + vX_[3683] * vX_[43] -
+ vX_[9112] * x_in[25];
+ vX_[9130] = vX_[2325] * -3.44;
+ vX_[9113] = vX_[2349] * 0.1466472;
+ vX_[1623] = vX_[2364] * 0.5824264;
+ vX_[9062] = 0 - vX_[9130] + vX_[9113] - vX_[1623];
+ vX_[9048] = 0 - vX_[3714];
+ vX_[9050] = vX_[2353] * vX_[501] + vX_[2325] * vX_[475] + vX_[2359] * vX_[472] + vX_[2362] * vX_[605] +
+ vX_[2364] * vX_[553];
+ vX_[9066] = vX_[9126] * vX_[1686] + vX_[9114] * vX_[421] + vX_[9062] * vX_[10] + vX_[9048] * vX_[1882] -
+ vX_[9050] * x_in[24];
+ vX_[9049] = vX_[3733] + vX_[1544] + vX_[2923] - vX_[1251] - vX_[1193];
+ vX_[1311] = 0 - vX_[9049];
+ vX_[3019] = vX_[3019] + vX_[1311] * vX_[474];
+ vX_[1639] = vX_[1639] + vX_[9049] * vX_[393];
+ vX_[8998] = 0 - vX_[1257];
+ vX_[8984] = 0 - vX_[876];
+ vX_[1552] = vX_[2131] * vX_[1426] + vX_[3728] * vX_[620] + vX_[2933] * vX_[723] + vX_[1457] * vX_[590] +
+ vX_[2046] * vX_[624] + vX_[1552] * vX_[637];
+ vX_[2046] = vX_[1469] + vX_[1552] + vX_[1261] + vX_[926] - vX_[925] - vX_[1932];
+ vX_[950] = vX_[2046] - vX_[950];
+ vX_[1457] = 0 - vX_[2932];
+ vX_[2933] = 0 - vX_[1536];
+ vX_[3728] = 0 - vX_[1193];
+ vX_[2131] = vX_[3668] - vX_[2121];
+ vX_[8986] = vX_[708] - vX_[2121];
+ vX_[9002] = vX_[2115] + vX_[3687];
+ vX_[8985] = vX_[2113] + vX_[685];
+ vX_[1002] = vX_[2111] + vX_[1542];
+ vX_[8934] = 0 - vX_[1002];
+ vX_[8920] = vX_[2131] * vX_[487] + vX_[9002] * vX_[485];
+ vX_[8922] = vX_[8986] * vX_[487];
+ vX_[8938] = vX_[2131] * vX_[473] + vX_[9002] * vX_[487];
+ vX_[8921] = vX_[8986] * vX_[485];
+ vX_[8808] = vX_[8938] + vX_[8921];
+ vX_[8798] = vX_[2368] * 0.0004405 + vX_[2379] * -8.81e-05 + vX_[2387] * -0.000227999999999999;
+ vX_[8809] = vX_[2368] * 0.1104774 + vX_[2381] * -8.81e-05 + (0 - vX_[2385]) * 0.025713;
+ vX_[8806] = (0 - vX_[2379]) * 0.0004405;
+ vX_[8802] = (0 - vX_[2381]) * 0.1104774;
+ vX_[8792] = vX_[8806] + vX_[8802];
+ vX_[8792] = vX_[1146] * vX_[1931] + vX_[3425] * vX_[1617] + vX_[8798] * vX_[42] + vX_[8809] * vX_[46] +
+ vX_[8792] * vX_[1305] + vX_[8792] * vX_[1305];
+ vX_[3425] = vX_[2366] * -0.0825825 + (0 - vX_[2372]) * 0.000102 + vX_[2367] * 0.007418 + vX_[2377] * 0.002735;
+ vX_[1146] = vX_[2366] * 0.47422804 + vX_[2372] * 2.1e-05 + (0 - vX_[2367]) * 0.084376 + (0 - vX_[2377]) * 0.007418;
+ vX_[8805] = (0 - vX_[2370]) * -0.0825825;
+ vX_[8800] = (0 - vX_[2371]) * 0.47422804;
+ vX_[8795] = vX_[2367] * 0.000102;
+ vX_[8697] = (0 - vX_[2377]) * 2.1e-05;
+ vX_[8804] = vX_[8805] + vX_[8800] + vX_[8795] + vX_[8697];
+ vX_[8804] = vX_[8792] + vX_[1974] * vX_[1698] + vX_[8907] * vX_[400] + vX_[9132] * vX_[1145] +
+ vX_[3659] * vX_[916] + vX_[3425] * vX_[43] + vX_[1146] * vX_[15] + vX_[8804] * vX_[1233] +
+ vX_[8804] * vX_[1233];
+ vX_[3659] = vX_[2325] * 0.5824264 + (0 - vX_[2349]) * -0.022734 + vX_[2362] * -3.6e-05 + vX_[2364] * -0.133138;
+ vX_[9132] = vX_[2325] * 0.1466472 + vX_[2349] * 0.009466 + (0 - vX_[2362]) * -5.1e-05 + vX_[2364] * -0.022734;
+ vX_[8796] = (0 - vX_[2353]) * 0.5824264;
+ vX_[8787] = (0 - vX_[2359]) * 0.1466472;
+ vX_[8777] = (0 - vX_[2349]) * -3.6e-05;
+ vX_[8788] = (0 - vX_[2364]) * -5.1e-05;
+ vX_[8785] = vX_[8796] + vX_[8787] + vX_[8777] - vX_[8788];
+ vX_[8781] = vX_[2353] * vX_[506] + vX_[2325] * vX_[553] + vX_[2359] * vX_[608] + vX_[2362] * vX_[607] +
+ vX_[2364] * vX_[469];
+ vX_[8785] = vX_[9126] * vX_[1687] + vX_[9114] * vX_[439] + vX_[8804] * -1 + vX_[3729] * vX_[5] +
+ vX_[9048] * vX_[1543] + vX_[3659] * vX_[10] + vX_[9132] * vX_[2916] + vX_[8785] * vX_[1882] +
+ vX_[8785] * vX_[1882] + vX_[8781] * x_in[24];
+ vX_[2383] = vX_[2379] * 0.1104774 + vX_[2381] * 0.0004405 + vX_[2383] * 0.025941;
+ vX_[9048] = (0 - vX_[2368]) * -8.81e-05;
+ vX_[8802] = vX_[9048] + vX_[8802];
+ vX_[2387] = vX_[2368] * 0.0004405 + vX_[2379] * 8.81e-05 + vX_[2387] * 0.000468;
+ vX_[8802] = vX_[1712] * vX_[4114] + vX_[2931] * vX_[1617] + vX_[8798] * vX_[1305] + vX_[2383] * vX_[46] +
+ vX_[8802] * vX_[42] + vX_[8802] * vX_[42] + vX_[2387] * x_in[26];
+ vX_[9048] = vX_[9048] + vX_[8806];
+ vX_[2385] = vX_[2368] * -0.1104774 + vX_[2381] * -8.81e-05 + vX_[2385] * 0.026409;
+ vX_[9048] = vX_[644] * vX_[4114] + vX_[909] * vX_[1931] + vX_[8809] * vX_[1305] + vX_[2383] * vX_[42] +
+ vX_[9048] * vX_[46] + vX_[9048] * vX_[46] - vX_[2385] * x_in[26];
+ vX_[2383] = vX_[2370] * 0.47422804 + vX_[2371] * -0.0825825 + vX_[2372] * 0.081641 + (0 - vX_[2367]) * 2.1e-05 +
+ vX_[2377] * 0.000102;
+ vX_[8809] = (0 - vX_[2372]) * 0.007418;
+ vX_[8697] = vX_[8800] + vX_[8809] - vX_[8697];
+ vX_[8800] = vX_[2366] * vX_[415] + vX_[2370] * vX_[430] + vX_[2371] * vX_[420] + vX_[2367] * vX_[464] +
+ vX_[2377] * vX_[460];
+ vX_[8697] = vX_[3424] * -0.35 + vX_[8802] * vX_[395] + vX_[9048] * vX_[397] + vX_[3438] * vX_[4117] +
+ vX_[3683] * vX_[916] + vX_[3425] * vX_[1233] + vX_[2383] * vX_[15] + vX_[8697] * vX_[43] +
+ vX_[8697] * vX_[43] + vX_[8800] * x_in[25];
+ vX_[8809] = vX_[8805] - vX_[8809] - vX_[8795];
+ vX_[8795] = vX_[2366] * vX_[427] + vX_[2370] * vX_[431] + vX_[2371] * vX_[425] + vX_[2367] * vX_[458] +
+ vX_[2377] * vX_[464];
+ vX_[8809] = vX_[8802] * vX_[398] + vX_[9048] * vX_[395] + vX_[4103] * vX_[4117] + vX_[1938] * vX_[1145] +
+ vX_[1146] * vX_[1233] + vX_[2383] * vX_[43] + vX_[8809] * vX_[15] + vX_[8809] * vX_[15] -
+ vX_[8795] * x_in[25];
+ vX_[1623] = vX_[9130] - vX_[9113] + vX_[1623];
+ vX_[9113] = vX_[2353] * 0.1466472 + vX_[2359] * 0.5824264 + vX_[2349] * -5.1e-05 + (0 - vX_[2362]) * -0.123672 +
+ (0 - vX_[2364]) * -3.6e-05;
+ vX_[9130] = vX_[2362] * -0.022734;
+ vX_[8777] = vX_[8796] - vX_[8777] - vX_[9130];
+ vX_[8796] = vX_[2353] * vX_[443] + vX_[2325] * vX_[605] + vX_[2359] * vX_[554] + vX_[2362] * vX_[552] +
+ vX_[2364] * vX_[607];
+ vX_[8777] = vX_[8697] * vX_[433] + vX_[8809] * vX_[421] + vX_[1623] * vX_[5] + vX_[3714] * vX_[4129] +
+ vX_[9113] * vX_[10] + vX_[9132] * vX_[1882] + vX_[8777] * vX_[2916] + vX_[8777] * vX_[2916] -
+ vX_[8796] * x_in[24];
+ vX_[2414] = vX_[2414] * vX_[2082];
+ vX_[9132] = vX_[2414] * vX_[395];
+ vX_[2415] = vX_[2415] * vX_[2082];
+ vX_[3714] = vX_[2415] * vX_[1702];
+ vX_[2416] = vX_[2416] * vX_[2082];
+ vX_[2383] = 0 - vX_[2416];
+ vX_[2386] = vX_[2386] * vX_[2077];
+ vX_[1146] = vX_[2386] * vX_[395];
+ vX_[1938] = vX_[2386] * vX_[1702];
+ vX_[4103] = 0 - vX_[1938];
+ vX_[2402] = vX_[2402] * vX_[2089];
+ vX_[8805] = vX_[2402] * vX_[1702];
+ vX_[2390] = vX_[2390] * vX_[1911];
+ vX_[3425] = vX_[2390] * vX_[395];
+ vX_[2388] = vX_[2388] * vX_[2077];
+ vX_[3683] = vX_[2388] * vX_[395];
+ vX_[3438] = vX_[2388] * vX_[1702];
+ vX_[3424] = vX_[2402] * vX_[395];
+ vX_[2403] = vX_[2403] * vX_[2089];
+ vX_[909] = 0 - vX_[2403];
+ vX_[644] = vX_[909] * vX_[395];
+ vX_[2381] = vX_[2403] * vX_[1702];
+ vX_[2368] = vX_[2414] + vX_[2390];
+ vX_[2391] = vX_[2391] * vX_[1911];
+ vX_[8806] = 0 - vX_[2415] - vX_[2391];
+ vX_[8798] = vX_[2368] * vX_[1702] + vX_[8806] * vX_[395];
+ vX_[2931] = vX_[2391] * vX_[1702];
+ vX_[2408] = vX_[2408] * vX_[2089] + vX_[2396] * vX_[2077];
+ vX_[2396] = 0 - vX_[2408];
+ vX_[1712] = 0 - vX_[2408];
+ vX_[2379] = vX_[1712] * vX_[395];
+ vX_[8771] = vX_[2408] * vX_[1702];
+ vX_[8784] = vX_[2409] * vX_[1830] + vX_[2491] * vX_[1782] + vX_[2494] * vX_[1814];
+ vX_[8779] = 0 - vX_[8784];
+ vX_[8774] = vX_[2409] * vX_[1920] + vX_[2491] * vX_[1815] + vX_[2494] * vX_[1776];
+ vX_[8624] = vX_[8779] * x_in[18] + vX_[8774] * x_in[19];
+ vX_[8783] = 0 - vX_[8624];
+ vX_[8775] = 0 - vX_[8624];
+ vX_[8766] = vX_[8775] * vX_[395];
+ vX_[8756] = vX_[8624] * vX_[1702];
+ vX_[2409] = vX_[2409] * vX_[1812] + vX_[2491] * vX_[1831] + vX_[2494] * vX_[1921];
+ jac[919] = vX_[9112] * vX_[1708] + vX_[1937] * vX_[1145] + vX_[8795] * vX_[2090] + vX_[8800] * vX_[43] + vX_[8804] +
+ vX_[2409] * vX_[1835] + vX_[8784] * vX_[1788] + vX_[8774] * vX_[1821];
+ jac[955] = vX_[1945] * vX_[1739] + vX_[9128] * vX_[1931] + vX_[2385] * vX_[6] + vX_[2387] * vX_[42] + vX_[8792] +
+ vX_[2409] * vX_[1845] + vX_[8784] * vX_[1799] + vX_[8774] * vX_[1818];
+ vX_[2385] = vX_[2409] * x_in[26];
+ vX_[2387] = vX_[2385] * vX_[395];
+ vX_[8792] = vX_[2385] * vX_[1702];
+ vX_[1945] = vX_[2409] * x_in[25];
+ vX_[9128] = vX_[8784] * x_in[24];
+ vX_[8795] = 0 - vX_[9128];
+ vX_[8800] = vX_[1945] * vX_[395];
+ vX_[8804] = 0 - vX_[9128];
+ vX_[9112] = vX_[8804] * vX_[395];
+ vX_[1937] = vX_[1945] * vX_[1702];
+ vX_[2494] = vX_[9128] * vX_[1702];
+ vX_[2491] = vX_[2420] * vX_[1876];
+ vX_[8767] = 0 - vX_[2491];
+ vX_[8764] = 0 - vX_[2491];
+ vX_[8760] = vX_[8764] * vX_[395];
+ vX_[8750] = vX_[2491] * vX_[1702];
+ vX_[8763] = 0 - vX_[3019];
+ vX_[8758] = 0 - vX_[1639];
+ vX_[2046] = 0 - vX_[2046] + vX_[946];
+ vX_[946] = 0 - vX_[936];
+ vX_[1002] = 0 - vX_[1002];
+ vX_[2380] = vX_[2380] * vX_[2077];
+ vX_[8753] = vX_[2380] * vX_[1702];
+ vX_[2382] = vX_[2382] * vX_[2077];
+ vX_[8551] = 0 - vX_[2382];
+ vX_[8762] = vX_[8551] * vX_[395];
+ vX_[2384] = vX_[2384] * vX_[2077];
+ vX_[8754] = 0 - vX_[2384];
+ vX_[2401] = vX_[2401] * vX_[2089];
+ vX_[2417] = vX_[2417] * vX_[2082];
+ vX_[8745] = vX_[2417] * vX_[395];
+ vX_[8735] = vX_[2417] * vX_[1702];
+ vX_[2406] = vX_[2406] * vX_[2079];
+ vX_[8746] = vX_[2406] * vX_[1702];
+ vX_[2418] = vX_[2418] * vX_[2082];
+ vX_[8743] = vX_[2418] * vX_[395];
+ vX_[8739] = 0 - vX_[8743];
+ vX_[8726] = vX_[2418] * vX_[1702];
+ vX_[2407] = vX_[2407] * vX_[2079];
+ vX_[8742] = 0 - vX_[2407];
+ vX_[8737] = vX_[8742] * vX_[395];
+ vX_[8732] = vX_[2380] + vX_[2406];
+ vX_[2407] = vX_[2382] + vX_[2407];
+ vX_[2382] = vX_[8732] * vX_[395] + vX_[2407] * vX_[1702];
+ vX_[2404] = vX_[2404] * vX_[2089] + vX_[2395] * vX_[2082];
+ vX_[2395] = 0 - vX_[2404];
+ vX_[8478] = 0 - vX_[2404];
+ vX_[8741] = vX_[8478] * vX_[395];
+ vX_[8733] = vX_[2404] * vX_[1702];
+ vX_[8729] = 0 - vX_[8774];
+ vX_[8724] = vX_[2409] * x_in[18] + vX_[8729] * x_in[20];
+ vX_[8710] = 0 - vX_[8724];
+ vX_[8712] = vX_[8724] * vX_[1702];
+ vX_[8728] = vX_[2409] * x_in[24];
+ vX_[8711] = vX_[8728] * vX_[1702];
+ vX_[8656] = vX_[8784] * x_in[26];
+ vX_[8651] = vX_[8656] * vX_[395];
+ vX_[8637] = vX_[8656] * vX_[1702];
+ vX_[8639] = vX_[8784] * x_in[25];
+ vX_[8655] = vX_[8728] * vX_[395];
+ vX_[8638] = vX_[8639] * vX_[395];
+ vX_[8583] = vX_[8639] * vX_[1702];
+ vX_[8578] = vX_[2420] * vX_[1866];
+ vX_[8564] = 0 - vX_[8578];
+ vX_[8566] = 0 - vX_[8724];
+ vX_[8582] = 0 - vX_[8578];
+ vX_[8565] = vX_[8566] * vX_[395] + vX_[8582] * vX_[395];
+ vX_[8510] = vX_[8578] * vX_[1702];
+ jac[235] =
+ 0 -
+ (0 - (vX_[2114] * vX_[4135] + vX_[3679] * x_in[22]) +
+ (vX_[2123] * vX_[4135] + vX_[9035] * vX_[487] + vX_[3679] * x_in[20]) * -0.3735 -
+ (vX_[2116] * vX_[3739] + vX_[9066] * x_in[23]) + (vX_[2128] * vX_[3739] + vX_[9066] * x_in[19]) * 0.3735 +
+ (vX_[2134] * vX_[3739] +
+ (vX_[679] * vX_[556] + vX_[936] * vX_[611] + vX_[9049] * vX_[500] + vX_[1242] * vX_[502] +
+ vX_[3019] * vX_[472] + vX_[1639] * vX_[481] + vX_[8998] * vX_[484] + vX_[8984] * vX_[501] +
+ vX_[950] * vX_[490] + vX_[1457] * vX_[554] + vX_[936] * vX_[608] + vX_[2933] * vX_[443] +
+ vX_[3728] * vX_[561]) *
+ -1 +
+ vX_[9066] * x_in[18]) *
+ -0.207 -
+ (vX_[2123] * vX_[1456] + vX_[2128] * vX_[1893] + vX_[2131] * vX_[719] + vX_[8986] * vX_[717] +
+ vX_[9002] * vX_[715] + vX_[8985] * vX_[688] + vX_[8934] * vX_[490] + vX_[8920] * vX_[696] +
+ vX_[8922] * vX_[695] + vX_[8808] * vX_[472] + vX_[917] * vX_[680] + vX_[1258] * vX_[658] +
+ vX_[2117] * vX_[508] + vX_[3721] * vX_[498] + vX_[1261] * vX_[681] + vX_[926] * vX_[661] +
+ vX_[1781] * vX_[659] + vX_[1158] * vX_[610] + vX_[3020] * vX_[660] + vX_[1226] * vX_[657] +
+ vX_[1846] * vX_[497] + vX_[1553] * vX_[507] + vX_[1912] * vX_[617] + vX_[1939] * vX_[615] +
+ vX_[2126] * vX_[613] + vX_[1570] * vX_[634] + vX_[3710] * vX_[635] + vX_[2926] * vX_[562] +
+ vX_[2125] * vX_[558] + vX_[2124] * vX_[612] + vX_[9035] * vX_[488] + vX_[8785] * x_in[19] +
+ vX_[8777] * x_in[20]) +
+ vX_[2369] * vX_[2077] + vX_[2405] * vX_[2079] + vX_[9132] * vX_[394] + vX_[3714] * vX_[394] +
+ vX_[2383] * vX_[394] * 0.35 + vX_[2416] * 0.3735 + vX_[1146] * 0.35 + vX_[1146] * vX_[421] * 0.08 +
+ vX_[1146] * vX_[394] * -0.3735 + vX_[4103] * vX_[421] * 0.3735 + vX_[1938] * vX_[394] * -0.08 +
+ vX_[8805] * vX_[421] * 0.207 + vX_[3425] * vX_[394] + vX_[3683] * vX_[421] * 0.3735 +
+ vX_[3683] * vX_[394] * 0.08 + vX_[3438] * 0.35 + vX_[3438] * vX_[394] * -0.3735 +
+ (vX_[3424] * vX_[394] + vX_[644] * vX_[421]) * 0.207 + vX_[2381] * vX_[394] * 0.207 + vX_[8798] * vX_[421] +
+ vX_[2931] * vX_[394] + (vX_[3438] * vX_[421] - vX_[2408]) * 0.08 + vX_[2396] * vX_[421] * 0.35 +
+ vX_[2379] * vX_[421] * 0.33 + vX_[8771] * vX_[394] * 0.33 + (0 - vX_[8624]) * 0.08 +
+ vX_[8783] * vX_[421] * 0.35 + vX_[8766] * vX_[421] * 0.33 + vX_[8756] * vX_[394] * 0.33 +
+ vX_[2387] * vX_[394] * 0.33 + vX_[8792] * vX_[421] * 0.33 + vX_[1945] * vX_[394] * 0.35 +
+ (0 - vX_[9128]) * 0.08 + vX_[8795] * vX_[421] * 0.35 +
+ (vX_[8800] * vX_[394] + vX_[9112] * vX_[421]) * 0.33 +
+ (vX_[1937] * vX_[421] + vX_[2494] * vX_[394]) * 0.33 + (0 - vX_[2491]) * 0.08 +
+ vX_[8767] * vX_[421] * 0.35 + vX_[8760] * vX_[421] * 0.33 + vX_[8750] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[2116] * vX_[4135] + vX_[2123] * vX_[1893] + vX_[2131] * vX_[715] + vX_[8985] * vX_[490] +
+ vX_[8938] * vX_[695] + vX_[8920] * vX_[472] + vX_[1258] * vX_[661] + vX_[2117] * vX_[498] +
+ vX_[1261] * vX_[680] + vX_[1781] * vX_[660] + vX_[1158] * vX_[657] + vX_[1846] * vX_[507] +
+ vX_[1912] * vX_[613] + vX_[1570] * vX_[635] + vX_[2927] * vX_[558] + vX_[2926] * vX_[612] +
+ (vX_[2932] * vX_[609] + vX_[8971] * vX_[452] + vX_[1536] * vX_[502] + vX_[1311] * vX_[476] +
+ vX_[1251] * vX_[491] + vX_[8763] * vX_[475] + vX_[2129] * vX_[484] + vX_[8758] * vX_[472] +
+ vX_[2132] * vX_[490] + vX_[2046] * vX_[501] + vX_[2932] * vX_[605] + vX_[946] * vX_[553] +
+ vX_[1536] * vX_[506] + vX_[1251] * vX_[550]) *
+ 0.207 +
+ vX_[3679] * x_in[23] + vX_[8785] * x_in[20] +
+ (vX_[2128] * vX_[4135] + vX_[9035] * vX_[485] + vX_[3679] * x_in[19]) * -0.3735 +
+ (vX_[2134] * vX_[4135] + vX_[3679] * x_in[18]) * 0.207 - (vX_[2114] * vX_[3739] + vX_[9066] * x_in[22]) +
+ (vX_[2123] * vX_[3739] + vX_[9066] * x_in[20]) * -0.3735 -
+ (vX_[2128] * vX_[1456] + vX_[8986] * vX_[716] + vX_[9002] * vX_[719] + vX_[1002] * vX_[688] +
+ vX_[8922] * vX_[472] + vX_[8921] * vX_[696] + vX_[917] * vX_[681] + vX_[3721] * vX_[508] +
+ vX_[926] * vX_[658] + vX_[3020] * vX_[659] + vX_[1226] * vX_[610] + vX_[1553] * vX_[497] +
+ vX_[1939] * vX_[614] + vX_[2126] * vX_[617] + vX_[1561] * vX_[634] + vX_[2125] * vX_[612] +
+ vX_[1394] * vX_[562] + vX_[9035] * vX_[486] + vX_[8777] * x_in[19]) -
+ vX_[2413] * vX_[2082] + vX_[8753] * vX_[421] + vX_[8762] * vX_[421] + vX_[8754] * vX_[394] * 0.35 +
+ vX_[2384] * 0.3735 + (0 - vX_[2401]) * 0.207 - vX_[2389] * vX_[1911] + (0 - vX_[8745]) * 0.35 +
+ (0 - vX_[8745] * vX_[421]) * 0.08 + vX_[8745] * vX_[394] * 0.3735 + vX_[8735] * vX_[421] * 0.3735 +
+ vX_[8735] * vX_[394] * 0.08 + vX_[8746] * vX_[421] + vX_[8739] * vX_[421] * 0.3735 +
+ (0 - vX_[8743] * vX_[394]) * 0.08 + (0 - vX_[8726]) * 0.35 + (0 - vX_[8726] * vX_[421]) * 0.08 +
+ vX_[8726] * vX_[394] * 0.3735 + vX_[8737] * vX_[421] + vX_[2382] * vX_[394] + (0 - vX_[2404]) * 0.08 +
+ vX_[2395] * vX_[421] * 0.35 + vX_[8741] * vX_[421] * 0.33 + vX_[8733] * vX_[394] * 0.33 +
+ (0 - vX_[8724]) * 0.08 + vX_[8710] * vX_[421] * 0.35 + vX_[8712] * vX_[394] * 0.33 + vX_[8728] * 0.08 +
+ vX_[8728] * vX_[421] * 0.35 + vX_[8711] * vX_[394] * -0.33 + vX_[8651] * vX_[394] * 0.33 +
+ vX_[8637] * vX_[421] * 0.33 + vX_[8639] * vX_[394] * 0.35 +
+ (vX_[8655] * vX_[421] + vX_[8638] * vX_[394]) * 0.33 + vX_[8583] * vX_[421] * 0.33 +
+ (0 - vX_[8578]) * 0.08 + vX_[8564] * vX_[421] * 0.35 + vX_[8565] * vX_[421] * 0.33 +
+ vX_[8510] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[2384] = vX_[2781] * 0.881 + (0 - vX_[2783]) * 0.0004405 + vX_[2785] * -8.81e-05;
+ vX_[2416] = vX_[2779] * -0.881;
+ vX_[9002] = vX_[2783] * 0.1104774;
+ vX_[8986] = vX_[2787] * -8.81e-05;
+ vX_[2131] = vX_[2416] - vX_[9002] + vX_[8986];
+ vX_[1311] = vX_[2384] * vX_[42] + vX_[2131] * vX_[46];
+ vX_[9049] = vX_[2771] * 3.146 + (0 - vX_[2772]) * -0.0825825;
+ vX_[9035] = vX_[2770] * -3.146;
+ vX_[8971] = vX_[2772] * 0.47422804;
+ vX_[3710] = vX_[9035] - vX_[8971];
+ vX_[3020] = vX_[1311] + vX_[9049] * vX_[43] + vX_[3710] * vX_[15];
+ vX_[1781] = vX_[2759] * 3.44 + vX_[2762] * 0.5824264;
+ vX_[679] = 0 - vX_[1781];
+ vX_[1561] = vX_[2753] * 3.44 + (0 - vX_[2762]) * 0.1466472;
+ vX_[1570] = vX_[2753] * vX_[490] + vX_[2725] * vX_[472] + vX_[2759] * vX_[481] + vX_[2762] * vX_[554] +
+ vX_[2764] * vX_[608];
+ vX_[1226] = vX_[3020] * -1 + vX_[679] * vX_[10] + vX_[1561] * vX_[2916] + vX_[1570] * x_in[24];
+ vX_[926] = 0 - vX_[2515] * vX_[4116];
+ vX_[1258] = 0 - vX_[926];
+ vX_[1158] = 0 - vX_[926];
+ vX_[2514] = (vX_[2514] * vX_[4116] + vX_[1158] * vX_[743]) * 1 / vX_[718];
+ vX_[1261] = 0 - vX_[2514];
+ vX_[917] = 0 - vX_[926];
+ vX_[1242] = 0 - vX_[2514];
+ vX_[2511] = (vX_[2511] * vX_[4116] + vX_[917] * vX_[689] + vX_[1242] * vX_[736]) * 1 / vX_[721];
+ vX_[1553] = 0 - vX_[2511];
+ vX_[2117] = (vX_[4116] + vX_[1258] * vX_[682] + vX_[1261] * vX_[730] + vX_[1553] * vX_[509]) * 1 / vX_[618];
+ vX_[1158] = vX_[2516] * vX_[1853] + vX_[1158] * vX_[712];
+ vX_[2516] = 0 - vX_[1158];
+ vX_[1846] = 0 - vX_[2513] * vX_[1853] - vX_[2514] * vX_[712];
+ vX_[3721] = 0 - vX_[1846];
+ vX_[2124] = 0 - vX_[1158];
+ vX_[1394] = 0 - vX_[1846];
+ vX_[2512] = (vX_[2512] * vX_[4108] + vX_[2124] * vX_[689] + vX_[1394] * vX_[736]) * 1 / vX_[721];
+ vX_[2927] = 0 - vX_[2512];
+ vX_[2125] = (vX_[4108] + vX_[2516] * vX_[682] + vX_[3721] * vX_[730] + vX_[2927] * vX_[509]) * 1 / vX_[618];
+ vX_[2124] = vX_[2519] * vX_[41] + vX_[917] * vX_[722] + vX_[2124] * vX_[737];
+ vX_[917] = 0 - vX_[2124];
+ vX_[1394] = vX_[2520] * vX_[41] + vX_[1242] * vX_[722] + vX_[1394] * vX_[737];
+ vX_[1242] = 0 - vX_[1394];
+ vX_[2520] = 0 - vX_[2521] * vX_[41] - vX_[2511] * vX_[722] - vX_[2512] * vX_[737];
+ vX_[2519] = 0 - vX_[2520];
+ vX_[1939] = (vX_[1647] + vX_[917] * vX_[682] + vX_[1242] * vX_[730] + vX_[2519] * vX_[509]) * 1 / vX_[618];
+ vX_[2926] = 0 - vX_[2523] * vX_[801] - vX_[2117] * vX_[604] - vX_[2125] * vX_[731] - vX_[1939] * vX_[664];
+ vX_[2126] = 0 - vX_[926];
+ vX_[1912] = 0 - vX_[2514];
+ vX_[2413] = 0 - vX_[2511];
+ vX_[2405] = 0 - vX_[2117];
+ vX_[2389] = 0 - vX_[926];
+ vX_[2369] = 0 - vX_[2514];
+ vX_[8505] = 0 - vX_[2511];
+ vX_[8491] = 0 - vX_[2117];
+ vX_[8493] =
+ (vX_[2389] * vX_[662] + vX_[2369] * vX_[633] + vX_[8505] * vX_[691] + vX_[8491] * vX_[667]) * 1 / vX_[616];
+ vX_[8509] = 0 - vX_[8493];
+ vX_[8492] = (vX_[2126] * vX_[510] + vX_[1912] * vX_[518] + vX_[2413] * vX_[690] + vX_[2405] * vX_[628] +
+ vX_[8509] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8379] = 0 - vX_[1158];
+ vX_[8369] = 0 - vX_[1846];
+ vX_[8380] = 0 - vX_[2512];
+ vX_[8377] = 0 - vX_[2125];
+ vX_[8373] = 0 - vX_[1158];
+ vX_[8363] = 0 - vX_[1846];
+ vX_[8376] = 0 - vX_[2512];
+ vX_[8371] = 0 - vX_[2125];
+ vX_[8366] =
+ (vX_[8373] * vX_[662] + vX_[8363] * vX_[633] + vX_[8376] * vX_[691] + vX_[8371] * vX_[667]) * 1 / vX_[616];
+ vX_[8268] = 0 - vX_[8366];
+ vX_[8375] = (vX_[8379] * vX_[510] + vX_[8369] * vX_[518] + vX_[8380] * vX_[690] + vX_[8377] * vX_[628] +
+ vX_[8268] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8367] = 0 - vX_[2124];
+ vX_[8358] = 0 - vX_[1394];
+ vX_[8348] = 0 - vX_[2520];
+ vX_[8359] = 0 - vX_[1939];
+ vX_[8356] = 0 - vX_[2124];
+ vX_[8352] = 0 - vX_[1394];
+ vX_[8342] = 0 - vX_[2520];
+ vX_[8355] = 0 - vX_[1939];
+ vX_[8350] =
+ (vX_[8356] * vX_[662] + vX_[8352] * vX_[633] + vX_[8342] * vX_[691] + vX_[8355] * vX_[667]) * 1 / vX_[616];
+ vX_[8345] = 0 - vX_[8350];
+ vX_[8195] = (vX_[8367] * vX_[510] + vX_[8358] * vX_[518] + vX_[8348] * vX_[690] + vX_[8359] * vX_[628] +
+ vX_[8345] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[917] = vX_[2517] * vX_[801] + vX_[1258] * vX_[604] + vX_[2516] * vX_[731] + vX_[917] * vX_[664];
+ vX_[2516] = 0 - vX_[917];
+ vX_[1242] = vX_[2518] * vX_[801] + vX_[1261] * vX_[604] + vX_[3721] * vX_[731] + vX_[1242] * vX_[664];
+ vX_[3721] = 0 - vX_[1242];
+ vX_[2519] = vX_[2522] * vX_[801] + vX_[1553] * vX_[604] + vX_[2927] * vX_[731] + vX_[2519] * vX_[664];
+ vX_[2927] = 0 - vX_[2519];
+ vX_[1553] = 0 - vX_[2926];
+ vX_[2522] = 0 - vX_[917];
+ vX_[1261] = 0 - vX_[1242];
+ vX_[2518] = 0 - vX_[2519];
+ vX_[1258] = 0 - vX_[2926];
+ vX_[2517] =
+ (vX_[2522] * vX_[662] + vX_[1261] * vX_[633] + vX_[2518] * vX_[691] + vX_[1258] * vX_[667]) * 1 / vX_[616];
+ vX_[8354] = 0 - vX_[2517];
+ vX_[8346] = (vX_[2516] * vX_[510] + vX_[3721] * vX_[518] + vX_[2927] * vX_[690] + vX_[1553] * vX_[628] +
+ vX_[8354] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2522] = vX_[2524] * vX_[1083] + vX_[2389] * vX_[602] + vX_[8373] * vX_[725] + vX_[8356] * vX_[666] +
+ vX_[2522] * vX_[668];
+ vX_[8356] = 0 - vX_[2522];
+ vX_[1261] = vX_[2525] * vX_[1083] + vX_[2369] * vX_[602] + vX_[8363] * vX_[725] + vX_[8352] * vX_[666] +
+ vX_[1261] * vX_[668];
+ vX_[8352] = 0 - vX_[1261];
+ vX_[2518] = vX_[2526] * vX_[1083] + vX_[8505] * vX_[602] + vX_[8376] * vX_[725] + vX_[8342] * vX_[666] +
+ vX_[2518] * vX_[668];
+ vX_[8342] = 0 - vX_[2518];
+ vX_[1258] = vX_[2527] * vX_[1083] + vX_[8491] * vX_[602] + vX_[8371] * vX_[725] + vX_[8355] * vX_[666] +
+ vX_[1258] * vX_[668];
+ vX_[8355] = 0 - vX_[1258];
+ vX_[8371] = 0 - vX_[2528] * vX_[1083] - vX_[8493] * vX_[602] - vX_[8366] * vX_[725] - vX_[8350] * vX_[666] -
+ vX_[2517] * vX_[668];
+ vX_[8491] = 0 - vX_[8371];
+ vX_[2527] = (vX_[8356] * vX_[510] + vX_[8352] * vX_[518] + vX_[8342] * vX_[690] + vX_[8355] * vX_[628] +
+ vX_[8491] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8376] = 0 - vX_[2534] * vX_[1426] - vX_[8492] * vX_[620] - vX_[8375] * vX_[723] - vX_[8195] * vX_[590] -
+ vX_[8346] * vX_[624] - vX_[2527] * vX_[637];
+ vX_[8505] = vX_[2926] - vX_[8376];
+ vX_[2526] = vX_[2517] + vX_[1258];
+ vX_[8363] = vX_[8505] * vX_[487] + vX_[2526] * vX_[485];
+ vX_[2369] = vX_[8371] - vX_[8376];
+ vX_[2525] = vX_[2369] * vX_[487];
+ vX_[8373] = vX_[8505] * vX_[473] + vX_[2526] * vX_[487];
+ vX_[2389] = vX_[2369] * vX_[485];
+ vX_[2524] = vX_[8373] + vX_[2389];
+ vX_[8337] = vX_[8363] * vX_[473] + vX_[2525] * vX_[485] + vX_[2524] * vX_[487];
+ vX_[8327] = 0 - vX_[8337];
+ vX_[8338] = vX_[8376] + vX_[8373] * vX_[473] + vX_[2525] * vX_[487];
+ vX_[8335] = 0 - vX_[8338];
+ vX_[8331] = vX_[8376] + vX_[8363] * vX_[487] + vX_[2389] * vX_[485];
+ vX_[8352] = vX_[2530] * vX_[1426] + vX_[1912] * vX_[620] + vX_[8369] * vX_[723] + vX_[8358] * vX_[590] +
+ vX_[3721] * vX_[624] + vX_[8352] * vX_[637];
+ vX_[3721] = vX_[8375] + vX_[8352];
+ vX_[8358] = vX_[8350] + vX_[2518] - vX_[3721];
+ vX_[8356] = vX_[2529] * vX_[1426] + vX_[2126] * vX_[620] + vX_[8379] * vX_[723] + vX_[8367] * vX_[590] +
+ vX_[2516] * vX_[624] + vX_[8356] * vX_[637];
+ vX_[2516] = vX_[8492] + vX_[8356];
+ vX_[8367] = 0 - (vX_[1939] + vX_[2519]) + vX_[2516];
+ vX_[8379] = (vX_[2516] * vX_[473] + vX_[3721] * vX_[487]) * -1;
+ vX_[2126] = 0 - (vX_[8358] * vX_[487] + vX_[8367] * vX_[485]) + vX_[8379];
+ vX_[2529] = vX_[2126] + vX_[8338] * vX_[474];
+ vX_[8369] = 0 - vX_[2529];
+ vX_[1912] = (vX_[2516] * vX_[487] + vX_[3721] * vX_[485]) * -1;
+ vX_[2530] = vX_[8358] * vX_[473] + vX_[8367] * vX_[487] + vX_[1912];
+ vX_[8321] = 0 - vX_[8331];
+ vX_[8334] = vX_[2530] + vX_[8337] * vX_[474] + vX_[8321] * vX_[393];
+ vX_[8329] = vX_[2125] + vX_[1242];
+ vX_[8324] = vX_[2117] + vX_[917];
+ vX_[8122] = vX_[8329] * vX_[485] + vX_[8324] * vX_[487];
+ vX_[8333] = vX_[8493] + vX_[2522];
+ vX_[8325] = vX_[8366] + vX_[1261];
+ vX_[8316] = vX_[8333] * vX_[487] + vX_[8325] * vX_[485];
+ vX_[8306] = vX_[8122] * vX_[473] + vX_[8316] * vX_[487];
+ vX_[8491] = vX_[2533] * vX_[1426] + vX_[8509] * vX_[620] + vX_[8268] * vX_[723] + vX_[8345] * vX_[590] +
+ vX_[8354] * vX_[624] + vX_[8491] * vX_[637];
+ vX_[8354] = vX_[2527] + vX_[8491];
+ vX_[8355] = vX_[2532] * vX_[1426] + vX_[2405] * vX_[620] + vX_[8377] * vX_[723] + vX_[8359] * vX_[590] +
+ vX_[1553] * vX_[624] + vX_[8355] * vX_[637];
+ vX_[1553] = vX_[8346] + vX_[8355];
+ vX_[8359] = 0 - vX_[1553];
+ vX_[8377] = vX_[8354] * vX_[487] + vX_[8359] * vX_[485];
+ vX_[2405] = 0 - vX_[8377];
+ vX_[2532] = vX_[8306] + vX_[2405] * vX_[393] + vX_[8335] * vX_[489];
+ vX_[8345] = 0 - vX_[2532];
+ vX_[8268] = vX_[8329] * vX_[487] + vX_[8324] * vX_[473];
+ vX_[8509] = vX_[8333] * vX_[473] + vX_[8325] * vX_[487];
+ vX_[2533] = vX_[8268] * vX_[487] + vX_[8509] * vX_[485];
+ vX_[1553] = 0 - vX_[1553];
+ vX_[8317] = vX_[8354] * vX_[473] + vX_[1553] * vX_[487];
+ vX_[8314] = 0 - vX_[8317];
+ vX_[8310] = vX_[2533] + vX_[8314] * vX_[474] + vX_[8331] * vX_[489];
+ vX_[8297] = vX_[8268] * vX_[473] + vX_[8509] * vX_[487];
+ vX_[8313] = vX_[8297] + vX_[8377] * vX_[474];
+ vX_[8308] = vX_[8122] * vX_[487] + vX_[8316] * vX_[485];
+ vX_[8303] = vX_[8308] + vX_[8317] * vX_[393] + vX_[8327] * vX_[489];
+ vX_[8049] = 0 - vX_[8313] + vX_[8303];
+ vX_[8312] = 0 - vX_[8337];
+ vX_[8304] = 0 - vX_[8338];
+ vX_[8335] = vX_[8327] * vX_[611] + vX_[8335] * vX_[556] + vX_[8331] * vX_[452] + vX_[8369] * vX_[490] +
+ vX_[8334] * vX_[501] + vX_[8345] * vX_[481] + vX_[8310] * vX_[475] + vX_[8049] * vX_[472] +
+ vX_[8312] * vX_[608] + vX_[8337] * vX_[605] + vX_[8304] * vX_[555] + vX_[8331] * vX_[559];
+ vX_[8327] = 0 - vX_[2384];
+ vX_[8300] = vX_[2768] * 0.881 + (0 - vX_[2785]) * 0.1104774 + vX_[2787] * 0.0004405;
+ vX_[8295] = vX_[2779] * 0.00185880198235362 + vX_[2781] * 0.880992588508842 + vX_[2785] * -8.81e-05;
+ vX_[8281] = vX_[8327] * vX_[1305] + vX_[8300] * vX_[46] + vX_[8295] * x_in[26];
+ vX_[8986] = 0 - vX_[2416] + vX_[9002] - vX_[8986];
+ vX_[9002] = 0 - vX_[8300];
+ vX_[2416] = vX_[2779] * 0.414812462825713 + vX_[2781] * 0.00185880198235362 + vX_[2787] * 8.81e-05;
+ vX_[8283] = vX_[8986] * vX_[1305] + vX_[9002] * vX_[42] - vX_[2416] * x_in[26];
+ vX_[8299] = 0 - vX_[9049];
+ vX_[8282] = vX_[2766] * 3.146 + (0 - vX_[2767]) * 0.47422804 + vX_[2777] * -0.0825825;
+ vX_[8227] = vX_[2770] * vX_[449] + vX_[2771] * vX_[448] + vX_[2767] * vX_[425] + vX_[2777] * vX_[420];
+ vX_[8222] = vX_[8281] * vX_[395] + vX_[8283] * vX_[397] + vX_[8299] * vX_[1233] + vX_[8282] * vX_[15] +
+ vX_[8227] * x_in[25];
+ vX_[8971] = 0 - vX_[9035] + vX_[8971];
+ vX_[9035] = 0 - vX_[8282];
+ vX_[8208] = vX_[2770] * vX_[447] + vX_[2771] * vX_[449] + vX_[2767] * vX_[431] + vX_[2777] * vX_[430];
+ vX_[8210] = vX_[8281] * vX_[1690] + vX_[8283] * vX_[395] + vX_[8971] * vX_[1233] + vX_[9035] * vX_[43] -
+ vX_[8208] * x_in[25];
+ vX_[8226] = vX_[2725] * -3.44;
+ vX_[8209] = vX_[2749] * 0.1466472;
+ vX_[8154] = vX_[2764] * 0.5824264;
+ vX_[8149] = 0 - vX_[8226] + vX_[8209] - vX_[8154];
+ vX_[8135] = 0 - vX_[1561];
+ vX_[8137] = vX_[2753] * vX_[501] + vX_[2725] * vX_[475] + vX_[2759] * vX_[472] + vX_[2762] * vX_[605] +
+ vX_[2764] * vX_[553];
+ vX_[8153] = vX_[8222] * vX_[1686] + vX_[8210] * vX_[421] + vX_[8149] * vX_[10] + vX_[8135] * vX_[1882] -
+ vX_[8137] * x_in[24];
+ vX_[8136] = vX_[2926] + vX_[8371] + vX_[8376] - vX_[8338] - vX_[8331];
+ vX_[8081] = 0 - vX_[8136];
+ vX_[8379] = vX_[8379] + vX_[8081] * vX_[474];
+ vX_[1912] = vX_[1912] + vX_[8136] * vX_[393];
+ vX_[8076] = 0 - vX_[8334];
+ vX_[8062] = 0 - vX_[8310];
+ vX_[8342] = vX_[2531] * vX_[1426] + vX_[2413] * vX_[620] + vX_[8380] * vX_[723] + vX_[8348] * vX_[590] +
+ vX_[2927] * vX_[624] + vX_[8342] * vX_[637];
+ vX_[2927] = vX_[8195] + vX_[8342] + vX_[8324] + vX_[8325] - vX_[8297] - vX_[8308];
+ vX_[8303] = vX_[2927] - vX_[8303];
+ vX_[8348] = 0 - vX_[8377];
+ vX_[8380] = 0 - vX_[8337];
+ vX_[2413] = 0 - vX_[8331];
+ vX_[2531] = vX_[926] - vX_[2520];
+ vX_[8064] = vX_[1846] - vX_[2520];
+ vX_[8080] = vX_[2514] + vX_[1158];
+ vX_[8063] = vX_[2512] + vX_[1394];
+ vX_[7960] = vX_[2511] + vX_[2124];
+ vX_[7950] = 0 - vX_[7960];
+ vX_[7961] = vX_[2531] * vX_[487] + vX_[8080] * vX_[485];
+ vX_[7958] = vX_[8064] * vX_[487];
+ vX_[7954] = vX_[2531] * vX_[473] + vX_[8080] * vX_[487];
+ vX_[7944] = vX_[8064] * vX_[485];
+ vX_[7957] = vX_[7954] + vX_[7944];
+ vX_[7952] = vX_[2768] * 0.0004405 + vX_[2779] * -8.81e-05 + vX_[2787] * -0.000227999999999999;
+ vX_[7947] = vX_[2768] * 0.1104774 + vX_[2781] * -8.81e-05 + (0 - vX_[2785]) * 0.025713;
+ vX_[7849] = (0 - vX_[2779]) * 0.0004405;
+ vX_[7956] = (0 - vX_[2781]) * 0.1104774;
+ vX_[7948] = vX_[7849] + vX_[7956];
+ vX_[7948] = vX_[8327] * vX_[1931] + vX_[8986] * vX_[1617] + vX_[7952] * vX_[42] + vX_[7947] * vX_[46] +
+ vX_[7948] * vX_[1305] + vX_[7948] * vX_[1305];
+ vX_[8986] = vX_[2766] * -0.0825825 + (0 - vX_[2772]) * 0.000102 + vX_[2767] * 0.007418 + vX_[2777] * 0.002735;
+ vX_[8327] = vX_[2766] * 0.47422804 + vX_[2772] * 2.1e-05 + (0 - vX_[2767]) * 0.084376 + (0 - vX_[2777]) * 0.007418;
+ vX_[7939] = (0 - vX_[2770]) * -0.0825825;
+ vX_[7929] = (0 - vX_[2771]) * 0.47422804;
+ vX_[7940] = vX_[2767] * 0.000102;
+ vX_[7937] = (0 - vX_[2777]) * 2.1e-05;
+ vX_[7933] = vX_[7939] + vX_[7929] + vX_[7940] + vX_[7937];
+ vX_[7933] = vX_[7948] + vX_[8281] * vX_[1698] + vX_[8283] * vX_[400] + vX_[8299] * vX_[1145] +
+ vX_[8971] * vX_[916] + vX_[8986] * vX_[43] + vX_[8327] * vX_[15] + vX_[7933] * vX_[1233] +
+ vX_[7933] * vX_[1233];
+ vX_[8971] = vX_[2725] * 0.5824264 + (0 - vX_[2749]) * -0.022734 + vX_[2762] * -3.6e-05 + vX_[2764] * -0.133138;
+ vX_[8299] = vX_[2725] * 0.1466472 + vX_[2749] * 0.009466 + (0 - vX_[2762]) * -5.1e-05 + vX_[2764] * -0.022734;
+ vX_[7923] = (0 - vX_[2753]) * 0.5824264;
+ vX_[7936] = (0 - vX_[2759]) * 0.1466472;
+ vX_[7931] = (0 - vX_[2749]) * -3.6e-05;
+ vX_[7926] = (0 - vX_[2764]) * -5.1e-05;
+ vX_[7776] = vX_[7923] + vX_[7936] + vX_[7931] - vX_[7926];
+ vX_[7935] = vX_[2753] * vX_[506] + vX_[2725] * vX_[553] + vX_[2759] * vX_[608] + vX_[2762] * vX_[607] +
+ vX_[2764] * vX_[469];
+ vX_[7776] = vX_[8222] * vX_[1687] + vX_[8210] * vX_[439] + vX_[7933] * -1 + vX_[1781] * vX_[5] +
+ vX_[8135] * vX_[1543] + vX_[8971] * vX_[10] + vX_[8299] * vX_[2916] + vX_[7776] * vX_[1882] +
+ vX_[7776] * vX_[1882] + vX_[7935] * x_in[24];
+ vX_[2783] = vX_[2779] * 0.1104774 + vX_[2781] * 0.0004405 + vX_[2783] * 0.025941;
+ vX_[8135] = (0 - vX_[2768]) * -8.81e-05;
+ vX_[7956] = vX_[8135] + vX_[7956];
+ vX_[2787] = vX_[2768] * 0.0004405 + vX_[2779] * 8.81e-05 + vX_[2787] * 0.000468;
+ vX_[7956] = vX_[2384] * vX_[4114] + vX_[9002] * vX_[1617] + vX_[7952] * vX_[1305] + vX_[2783] * vX_[46] +
+ vX_[7956] * vX_[42] + vX_[7956] * vX_[42] + vX_[2787] * x_in[26];
+ vX_[8135] = vX_[8135] + vX_[7849];
+ vX_[2785] = vX_[2768] * -0.1104774 + vX_[2781] * -8.81e-05 + vX_[2785] * 0.026409;
+ vX_[8135] = vX_[2131] * vX_[4114] + vX_[8300] * vX_[1931] + vX_[7947] * vX_[1305] + vX_[2783] * vX_[42] +
+ vX_[8135] * vX_[46] + vX_[8135] * vX_[46] - vX_[2785] * x_in[26];
+ vX_[2783] = vX_[2770] * 0.47422804 + vX_[2771] * -0.0825825 + vX_[2772] * 0.081641 + (0 - vX_[2767]) * 2.1e-05 +
+ vX_[2777] * 0.000102;
+ vX_[7947] = (0 - vX_[2772]) * 0.007418;
+ vX_[7937] = vX_[7929] + vX_[7947] - vX_[7937];
+ vX_[7929] = vX_[2766] * vX_[415] + vX_[2770] * vX_[430] + vX_[2771] * vX_[420] + vX_[2767] * vX_[464] +
+ vX_[2777] * vX_[460];
+ vX_[7937] = vX_[1311] * -0.35 + vX_[7956] * vX_[395] + vX_[8135] * vX_[397] + vX_[9049] * vX_[4117] +
+ vX_[9035] * vX_[916] + vX_[8986] * vX_[1233] + vX_[2783] * vX_[15] + vX_[7937] * vX_[43] +
+ vX_[7937] * vX_[43] + vX_[7929] * x_in[25];
+ vX_[7947] = vX_[7939] - vX_[7947] - vX_[7940];
+ vX_[7940] = vX_[2766] * vX_[427] + vX_[2770] * vX_[431] + vX_[2771] * vX_[425] + vX_[2767] * vX_[458] +
+ vX_[2777] * vX_[464];
+ vX_[7947] = vX_[7956] * vX_[398] + vX_[8135] * vX_[395] + vX_[3710] * vX_[4117] + vX_[8282] * vX_[1145] +
+ vX_[8327] * vX_[1233] + vX_[2783] * vX_[43] + vX_[7947] * vX_[15] + vX_[7947] * vX_[15] -
+ vX_[7940] * x_in[25];
+ vX_[8154] = vX_[8226] - vX_[8209] + vX_[8154];
+ vX_[8209] = vX_[2753] * 0.1466472 + vX_[2759] * 0.5824264 + vX_[2749] * -5.1e-05 + (0 - vX_[2762]) * -0.123672 +
+ (0 - vX_[2764]) * -3.6e-05;
+ vX_[8226] = vX_[2762] * -0.022734;
+ vX_[7931] = vX_[7923] - vX_[7931] - vX_[8226];
+ vX_[7923] = vX_[2753] * vX_[443] + vX_[2725] * vX_[605] + vX_[2759] * vX_[554] + vX_[2762] * vX_[552] +
+ vX_[2764] * vX_[607];
+ vX_[7931] = vX_[7937] * vX_[433] + vX_[7947] * vX_[421] + vX_[8154] * vX_[5] + vX_[1561] * vX_[4129] +
+ vX_[8209] * vX_[10] + vX_[8299] * vX_[1882] + vX_[7931] * vX_[2916] + vX_[7931] * vX_[2916] -
+ vX_[7923] * x_in[24];
+ vX_[2814] = vX_[2814] * vX_[2082];
+ vX_[8299] = vX_[2814] * vX_[395];
+ vX_[2815] = vX_[2815] * vX_[2082];
+ vX_[1561] = vX_[2815] * vX_[1702];
+ vX_[2816] = vX_[2816] * vX_[2082];
+ vX_[2783] = 0 - vX_[2816];
+ vX_[2786] = vX_[2786] * vX_[2077];
+ vX_[8327] = vX_[2786] * vX_[395];
+ vX_[8282] = vX_[2786] * vX_[1702];
+ vX_[3710] = 0 - vX_[8282];
+ vX_[2802] = vX_[2802] * vX_[2089];
+ vX_[7939] = vX_[2802] * vX_[1702];
+ vX_[2790] = vX_[2790] * vX_[1911];
+ vX_[8986] = vX_[2790] * vX_[395];
+ vX_[2788] = vX_[2788] * vX_[2077];
+ vX_[9035] = vX_[2788] * vX_[395];
+ vX_[9049] = vX_[2788] * vX_[1702];
+ vX_[1311] = vX_[2802] * vX_[395];
+ vX_[2803] = vX_[2803] * vX_[2089];
+ vX_[8300] = 0 - vX_[2803];
+ vX_[2131] = vX_[8300] * vX_[395];
+ vX_[2781] = vX_[2803] * vX_[1702];
+ vX_[2768] = vX_[2814] + vX_[2790];
+ vX_[2791] = vX_[2791] * vX_[1911];
+ vX_[7849] = 0 - vX_[2815] - vX_[2791];
+ vX_[7952] = vX_[2768] * vX_[1702] + vX_[7849] * vX_[395];
+ vX_[9002] = vX_[2791] * vX_[1702];
+ vX_[2808] = vX_[2808] * vX_[2089] + vX_[2796] * vX_[2077];
+ vX_[2796] = 0 - vX_[2808];
+ vX_[2384] = 0 - vX_[2808];
+ vX_[2779] = vX_[2384] * vX_[395];
+ vX_[7927] = vX_[2808] * vX_[1702];
+ vX_[7918] = vX_[2809] * vX_[1830] + vX_[2891] * vX_[1782] + vX_[2894] * vX_[1814];
+ vX_[7908] = 0 - vX_[7918];
+ vX_[7919] = vX_[2809] * vX_[1920] + vX_[2891] * vX_[1815] + vX_[2894] * vX_[1776];
+ vX_[7916] = vX_[7908] * x_in[18] + vX_[7919] * x_in[19];
+ vX_[7912] = 0 - vX_[7916];
+ vX_[7902] = 0 - vX_[7916];
+ vX_[7915] = vX_[7902] * vX_[395];
+ vX_[7910] = vX_[7916] * vX_[1702];
+ vX_[2809] = vX_[2809] * vX_[1812] + vX_[2891] * vX_[1831] + vX_[2894] * vX_[1921];
+ jac[920] = vX_[8208] * vX_[1708] + vX_[8227] * vX_[1145] + vX_[7940] * vX_[2090] + vX_[7929] * vX_[43] + vX_[7933] +
+ vX_[2809] * vX_[1835] + vX_[7918] * vX_[1788] + vX_[7919] * vX_[1821];
+ jac[956] = vX_[2416] * vX_[1739] + vX_[8295] * vX_[1931] + vX_[2785] * vX_[6] + vX_[2787] * vX_[42] + vX_[7948] +
+ vX_[2809] * vX_[1845] + vX_[7918] * vX_[1799] + vX_[7919] * vX_[1818];
+ vX_[2785] = vX_[2809] * x_in[26];
+ vX_[2787] = vX_[2785] * vX_[395];
+ vX_[7948] = vX_[2785] * vX_[1702];
+ vX_[2416] = vX_[2809] * x_in[25];
+ vX_[8295] = vX_[7918] * x_in[24];
+ vX_[7940] = 0 - vX_[8295];
+ vX_[7929] = vX_[2416] * vX_[395];
+ vX_[7933] = 0 - vX_[8295];
+ vX_[8208] = vX_[7933] * vX_[395];
+ vX_[8227] = vX_[2416] * vX_[1702];
+ vX_[2894] = vX_[8295] * vX_[1702];
+ vX_[2891] = vX_[2820] * vX_[1876];
+ vX_[7905] = 0 - vX_[2891];
+ vX_[7703] = 0 - vX_[2891];
+ vX_[7914] = vX_[7703] * vX_[395];
+ vX_[7906] = vX_[2891] * vX_[1702];
+ vX_[7897] = 0 - vX_[8379];
+ vX_[7887] = 0 - vX_[1912];
+ vX_[2927] = 0 - vX_[2927] + vX_[8313];
+ vX_[8313] = 0 - vX_[8317];
+ vX_[7960] = 0 - vX_[7960];
+ vX_[2780] = vX_[2780] * vX_[2077];
+ vX_[7898] = vX_[2780] * vX_[1702];
+ vX_[2782] = vX_[2782] * vX_[2077];
+ vX_[7895] = 0 - vX_[2782];
+ vX_[7891] = vX_[7895] * vX_[395];
+ vX_[2784] = vX_[2784] * vX_[2077];
+ vX_[7878] = 0 - vX_[2784];
+ vX_[2801] = vX_[2801] * vX_[2089];
+ vX_[2817] = vX_[2817] * vX_[2082];
+ vX_[7894] = vX_[2817] * vX_[395];
+ vX_[7889] = vX_[2817] * vX_[1702];
+ vX_[2806] = vX_[2806] * vX_[2079];
+ vX_[7884] = vX_[2806] * vX_[1702];
+ vX_[2818] = vX_[2818] * vX_[2082];
+ vX_[7630] = vX_[2818] * vX_[395];
+ vX_[7893] = 0 - vX_[7630];
+ vX_[7885] = vX_[2818] * vX_[1702];
+ vX_[2807] = vX_[2807] * vX_[2079];
+ vX_[7881] = 0 - vX_[2807];
+ vX_[7876] = vX_[7881] * vX_[395];
+ vX_[7862] = vX_[2780] + vX_[2806];
+ vX_[2807] = vX_[2782] + vX_[2807];
+ vX_[2782] = vX_[7862] * vX_[395] + vX_[2807] * vX_[1702];
+ vX_[2804] = vX_[2804] * vX_[2089] + vX_[2795] * vX_[2082];
+ vX_[2795] = 0 - vX_[2804];
+ vX_[7864] = 0 - vX_[2804];
+ vX_[7880] = vX_[7864] * vX_[395];
+ vX_[7863] = vX_[2804] * vX_[1702];
+ vX_[7808] = 0 - vX_[7919];
+ vX_[7803] = vX_[2809] * x_in[18] + vX_[7808] * x_in[20];
+ vX_[7789] = 0 - vX_[7803];
+ vX_[7791] = vX_[7803] * vX_[1702];
+ vX_[7807] = vX_[2809] * x_in[24];
+ vX_[7790] = vX_[7807] * vX_[1702];
+ vX_[7735] = vX_[7918] * x_in[26];
+ vX_[7730] = vX_[7735] * vX_[395];
+ vX_[7716] = vX_[7735] * vX_[1702];
+ vX_[7718] = vX_[7918] * x_in[25];
+ vX_[7734] = vX_[7807] * vX_[395];
+ vX_[7717] = vX_[7718] * vX_[395];
+ vX_[7662] = vX_[7718] * vX_[1702];
+ vX_[7657] = vX_[2820] * vX_[1866];
+ vX_[7643] = 0 - vX_[7657];
+ vX_[7645] = 0 - vX_[7803];
+ vX_[7661] = 0 - vX_[7657];
+ vX_[7644] = vX_[7645] * vX_[395] + vX_[7661] * vX_[395];
+ vX_[7533] = vX_[7657] * vX_[1702];
+ jac[236] =
+ 0 -
+ (0 - (vX_[2513] * vX_[4135] + vX_[1226] * x_in[22]) +
+ (vX_[2523] * vX_[4135] + vX_[8335] * vX_[487] + vX_[1226] * x_in[20]) * -0.3735 -
+ (vX_[2515] * vX_[3739] + vX_[8153] * x_in[23]) + (vX_[2528] * vX_[3739] + vX_[8153] * x_in[19]) * 0.3735 +
+ (vX_[2534] * vX_[3739] +
+ (vX_[2405] * vX_[556] + vX_[8317] * vX_[611] + vX_[8136] * vX_[500] + vX_[8321] * vX_[502] +
+ vX_[8379] * vX_[472] + vX_[1912] * vX_[481] + vX_[8076] * vX_[484] + vX_[8062] * vX_[501] +
+ vX_[8303] * vX_[490] + vX_[8348] * vX_[554] + vX_[8317] * vX_[608] + vX_[8380] * vX_[443] +
+ vX_[2413] * vX_[561]) *
+ -1 +
+ vX_[8153] * x_in[18]) *
+ -0.207 -
+ (vX_[2523] * vX_[1456] + vX_[2528] * vX_[1893] + vX_[2531] * vX_[719] + vX_[8064] * vX_[717] +
+ vX_[8080] * vX_[715] + vX_[8063] * vX_[688] + vX_[7950] * vX_[490] + vX_[7961] * vX_[696] +
+ vX_[7958] * vX_[695] + vX_[7957] * vX_[472] + vX_[8329] * vX_[680] + vX_[8333] * vX_[658] +
+ vX_[2516] * vX_[508] + vX_[3721] * vX_[498] + vX_[8324] * vX_[681] + vX_[8325] * vX_[661] +
+ vX_[8268] * vX_[659] + vX_[8122] * vX_[610] + vX_[8509] * vX_[660] + vX_[8316] * vX_[657] +
+ vX_[8358] * vX_[497] + vX_[8367] * vX_[507] + vX_[8505] * vX_[617] + vX_[2369] * vX_[615] +
+ vX_[2526] * vX_[613] + vX_[8354] * vX_[634] + vX_[1553] * vX_[635] + vX_[8363] * vX_[562] +
+ vX_[2525] * vX_[558] + vX_[2524] * vX_[612] + vX_[8335] * vX_[488] + vX_[7776] * x_in[19] +
+ vX_[7931] * x_in[20]) +
+ vX_[2769] * vX_[2077] + vX_[2805] * vX_[2079] + vX_[8299] * vX_[394] + vX_[1561] * vX_[394] +
+ vX_[2783] * vX_[394] * 0.35 + vX_[2816] * 0.3735 + vX_[8327] * 0.35 + vX_[8327] * vX_[421] * 0.08 +
+ vX_[8327] * vX_[394] * -0.3735 + vX_[3710] * vX_[421] * 0.3735 + vX_[8282] * vX_[394] * -0.08 +
+ vX_[7939] * vX_[421] * 0.207 + vX_[8986] * vX_[394] + vX_[9035] * vX_[421] * 0.3735 +
+ vX_[9035] * vX_[394] * 0.08 + vX_[9049] * 0.35 + vX_[9049] * vX_[394] * -0.3735 +
+ (vX_[1311] * vX_[394] + vX_[2131] * vX_[421]) * 0.207 + vX_[2781] * vX_[394] * 0.207 +
+ vX_[7952] * vX_[421] + vX_[9002] * vX_[394] + (vX_[9049] * vX_[421] - vX_[2808]) * 0.08 +
+ vX_[2796] * vX_[421] * 0.35 + vX_[2779] * vX_[421] * 0.33 + vX_[7927] * vX_[394] * 0.33 +
+ (0 - vX_[7916]) * 0.08 + vX_[7912] * vX_[421] * 0.35 + vX_[7915] * vX_[421] * 0.33 +
+ vX_[7910] * vX_[394] * 0.33 + vX_[2787] * vX_[394] * 0.33 + vX_[7948] * vX_[421] * 0.33 +
+ vX_[2416] * vX_[394] * 0.35 + (0 - vX_[8295]) * 0.08 + vX_[7940] * vX_[421] * 0.35 +
+ (vX_[7929] * vX_[394] + vX_[8208] * vX_[421]) * 0.33 +
+ (vX_[8227] * vX_[421] + vX_[2894] * vX_[394]) * 0.33 + (0 - vX_[2891]) * 0.08 +
+ vX_[7905] * vX_[421] * 0.35 + vX_[7914] * vX_[421] * 0.33 + vX_[7906] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[2515] * vX_[4135] + vX_[2523] * vX_[1893] + vX_[2531] * vX_[715] + vX_[8063] * vX_[490] +
+ vX_[7954] * vX_[695] + vX_[7961] * vX_[472] + vX_[8333] * vX_[661] + vX_[2516] * vX_[498] +
+ vX_[8324] * vX_[680] + vX_[8268] * vX_[660] + vX_[8122] * vX_[657] + vX_[8358] * vX_[507] +
+ vX_[8505] * vX_[613] + vX_[8354] * vX_[635] + vX_[8373] * vX_[558] + vX_[8363] * vX_[612] +
+ (vX_[8377] * vX_[609] + vX_[8314] * vX_[452] + vX_[8337] * vX_[502] + vX_[8081] * vX_[476] +
+ vX_[8338] * vX_[491] + vX_[7897] * vX_[475] + vX_[2529] * vX_[484] + vX_[7887] * vX_[472] +
+ vX_[2532] * vX_[490] + vX_[2927] * vX_[501] + vX_[8377] * vX_[605] + vX_[8313] * vX_[553] +
+ vX_[8337] * vX_[506] + vX_[8338] * vX_[550]) *
+ 0.207 +
+ vX_[1226] * x_in[23] + vX_[7776] * x_in[20] +
+ (vX_[2528] * vX_[4135] + vX_[8335] * vX_[485] + vX_[1226] * x_in[19]) * -0.3735 +
+ (vX_[2534] * vX_[4135] + vX_[1226] * x_in[18]) * 0.207 - (vX_[2513] * vX_[3739] + vX_[8153] * x_in[22]) +
+ (vX_[2523] * vX_[3739] + vX_[8153] * x_in[20]) * -0.3735 -
+ (vX_[2528] * vX_[1456] + vX_[8064] * vX_[716] + vX_[8080] * vX_[719] + vX_[7960] * vX_[688] +
+ vX_[7958] * vX_[472] + vX_[7944] * vX_[696] + vX_[8329] * vX_[681] + vX_[3721] * vX_[508] +
+ vX_[8325] * vX_[658] + vX_[8509] * vX_[659] + vX_[8316] * vX_[610] + vX_[8367] * vX_[497] +
+ vX_[2369] * vX_[614] + vX_[2526] * vX_[617] + vX_[8359] * vX_[634] + vX_[2525] * vX_[612] +
+ vX_[2389] * vX_[562] + vX_[8335] * vX_[486] + vX_[7931] * x_in[19]) -
+ vX_[2813] * vX_[2082] + vX_[7898] * vX_[421] + vX_[7891] * vX_[421] + vX_[7878] * vX_[394] * 0.35 +
+ vX_[2784] * 0.3735 + (0 - vX_[2801]) * 0.207 - vX_[2789] * vX_[1911] + (0 - vX_[7894]) * 0.35 +
+ (0 - vX_[7894] * vX_[421]) * 0.08 + vX_[7894] * vX_[394] * 0.3735 + vX_[7889] * vX_[421] * 0.3735 +
+ vX_[7889] * vX_[394] * 0.08 + vX_[7884] * vX_[421] + vX_[7893] * vX_[421] * 0.3735 +
+ (0 - vX_[7630] * vX_[394]) * 0.08 + (0 - vX_[7885]) * 0.35 + (0 - vX_[7885] * vX_[421]) * 0.08 +
+ vX_[7885] * vX_[394] * 0.3735 + vX_[7876] * vX_[421] + vX_[2782] * vX_[394] + (0 - vX_[2804]) * 0.08 +
+ vX_[2795] * vX_[421] * 0.35 + vX_[7880] * vX_[421] * 0.33 + vX_[7863] * vX_[394] * 0.33 +
+ (0 - vX_[7803]) * 0.08 + vX_[7789] * vX_[421] * 0.35 + vX_[7791] * vX_[394] * 0.33 + vX_[7807] * 0.08 +
+ vX_[7807] * vX_[421] * 0.35 + vX_[7790] * vX_[394] * -0.33 + vX_[7730] * vX_[394] * 0.33 +
+ vX_[7716] * vX_[421] * 0.33 + vX_[7718] * vX_[394] * 0.35 +
+ (vX_[7734] * vX_[421] + vX_[7717] * vX_[394]) * 0.33 + vX_[7662] * vX_[421] * 0.33 +
+ (0 - vX_[7657]) * 0.08 + vX_[7643] * vX_[421] * 0.35 + vX_[7644] * vX_[421] * 0.33 +
+ vX_[7533] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[2784] = vX_[3208] * 0.881 + (0 - vX_[3210]) * 0.0004405 + vX_[3212] * -8.81e-05;
+ vX_[2816] = vX_[3206] * -0.881;
+ vX_[8080] = vX_[3210] * 0.1104774;
+ vX_[8064] = vX_[3214] * -8.81e-05;
+ vX_[2531] = vX_[2816] - vX_[8080] + vX_[8064];
+ vX_[8081] = vX_[2784] * vX_[42] + vX_[2531] * vX_[46];
+ vX_[8136] = vX_[3198] * 3.146 + (0 - vX_[3199]) * -0.0825825;
+ vX_[8335] = vX_[3197] * -3.146;
+ vX_[8314] = vX_[3199] * 0.47422804;
+ vX_[1553] = vX_[8335] - vX_[8314];
+ vX_[8509] = vX_[8081] + vX_[8136] * vX_[43] + vX_[1553] * vX_[15];
+ vX_[8268] = vX_[3186] * 3.44 + vX_[3189] * 0.5824264;
+ vX_[2405] = 0 - vX_[8268];
+ vX_[8359] = vX_[3180] * 3.44 + (0 - vX_[3189]) * 0.1466472;
+ vX_[8354] = vX_[3180] * vX_[490] + vX_[3152] * vX_[472] + vX_[3186] * vX_[481] + vX_[3189] * vX_[554] +
+ vX_[3191] * vX_[608];
+ vX_[8316] = vX_[8509] * -1 + vX_[2405] * vX_[10] + vX_[8359] * vX_[2916] + vX_[8354] * x_in[24];
+ vX_[8325] = 0 - vX_[2941] * vX_[4116];
+ vX_[8333] = 0 - vX_[8325];
+ vX_[8122] = 0 - vX_[8325];
+ vX_[2940] = (vX_[2940] * vX_[4116] + vX_[8122] * vX_[743]) * 1 / vX_[718];
+ vX_[8324] = 0 - vX_[2940];
+ vX_[8329] = 0 - vX_[8325];
+ vX_[8321] = 0 - vX_[2940];
+ vX_[8367] = (vX_[4116] + vX_[8329] * vX_[689] + vX_[8321] * vX_[736]) * 1 / vX_[721];
+ vX_[2516] = 0 - vX_[8367];
+ vX_[8358] = (vX_[8333] * vX_[682] + vX_[8324] * vX_[730] + vX_[2516] * vX_[509]) * 1 / vX_[618];
+ vX_[8122] = vX_[2942] * vX_[1853] + vX_[8122] * vX_[712];
+ vX_[2942] = 0 - vX_[8122];
+ vX_[3721] = 0 - vX_[2943] * vX_[1853] - vX_[2940] * vX_[712];
+ vX_[2524] = 0 - vX_[3721];
+ vX_[2389] = 0 - vX_[8122];
+ vX_[8373] = 0 - vX_[3721];
+ vX_[2525] = (vX_[4108] + vX_[2389] * vX_[689] + vX_[8373] * vX_[736]) * 1 / vX_[721];
+ vX_[2369] = 0 - vX_[2525];
+ vX_[8363] = (vX_[2942] * vX_[682] + vX_[2524] * vX_[730] + vX_[2369] * vX_[509]) * 1 / vX_[618];
+ vX_[2389] = vX_[2946] * vX_[41] + vX_[8329] * vX_[722] + vX_[2389] * vX_[737];
+ vX_[8329] = 0 - vX_[2389];
+ vX_[8373] = vX_[2947] * vX_[41] + vX_[8321] * vX_[722] + vX_[8373] * vX_[737];
+ vX_[8321] = 0 - vX_[8373];
+ vX_[2947] = 0 - vX_[2948] * vX_[41] - vX_[8367] * vX_[722] - vX_[2525] * vX_[737];
+ vX_[2946] = 0 - vX_[2947];
+ vX_[2526] = (vX_[8329] * vX_[682] + vX_[8321] * vX_[730] + vX_[2946] * vX_[509]) * 1 / vX_[618];
+ vX_[8505] = 0 - vX_[2950] * vX_[801] - vX_[8358] * vX_[604] - vX_[8363] * vX_[731] - vX_[2526] * vX_[664];
+ vX_[2813] = 0 - vX_[8325];
+ vX_[2805] = 0 - vX_[2940];
+ vX_[2789] = 0 - vX_[8367];
+ vX_[2769] = 0 - vX_[8358];
+ vX_[7523] = 0 - vX_[8325];
+ vX_[7534] = 0 - vX_[2940];
+ vX_[7531] = 0 - vX_[8367];
+ vX_[7527] = 0 - vX_[8358];
+ vX_[7517] =
+ (vX_[7523] * vX_[662] + vX_[7534] * vX_[633] + vX_[7531] * vX_[691] + vX_[7527] * vX_[667]) * 1 / vX_[616];
+ vX_[7530] = 0 - vX_[7517];
+ vX_[7525] = (vX_[2813] * vX_[510] + vX_[2805] * vX_[518] + vX_[2789] * vX_[690] + vX_[2769] * vX_[628] +
+ vX_[7530] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7520] = 0 - vX_[8122];
+ vX_[7422] = 0 - vX_[3721];
+ vX_[7529] = 0 - vX_[2525];
+ vX_[7521] = 0 - vX_[8363];
+ vX_[7512] = 0 - vX_[8122];
+ vX_[7502] = 0 - vX_[3721];
+ vX_[7513] = 0 - vX_[2525];
+ vX_[7510] = 0 - vX_[8363];
+ vX_[7506] =
+ (vX_[7512] * vX_[662] + vX_[7502] * vX_[633] + vX_[7513] * vX_[691] + vX_[7510] * vX_[667]) * 1 / vX_[616];
+ vX_[7496] = 0 - vX_[7506];
+ vX_[7509] = (vX_[7520] * vX_[510] + vX_[7422] * vX_[518] + vX_[7529] * vX_[690] + vX_[7521] * vX_[628] +
+ vX_[7496] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7504] = 0 - vX_[2389];
+ vX_[7499] = 0 - vX_[8373];
+ vX_[7349] = 0 - vX_[2947];
+ vX_[7508] = 0 - vX_[2526];
+ vX_[7500] = 0 - vX_[2389];
+ vX_[7491] = 0 - vX_[8373];
+ vX_[7481] = 0 - vX_[2947];
+ vX_[7492] = 0 - vX_[2526];
+ vX_[7489] =
+ (vX_[7500] * vX_[662] + vX_[7491] * vX_[633] + vX_[7481] * vX_[691] + vX_[7492] * vX_[667]) * 1 / vX_[616];
+ vX_[7485] = 0 - vX_[7489];
+ vX_[7475] = (vX_[7504] * vX_[510] + vX_[7499] * vX_[518] + vX_[7349] * vX_[690] + vX_[7508] * vX_[628] +
+ vX_[7485] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8329] = vX_[2944] * vX_[801] + vX_[8333] * vX_[604] + vX_[2942] * vX_[731] + vX_[8329] * vX_[664];
+ vX_[2942] = 0 - vX_[8329];
+ vX_[8321] = vX_[2945] * vX_[801] + vX_[8324] * vX_[604] + vX_[2524] * vX_[731] + vX_[8321] * vX_[664];
+ vX_[2524] = 0 - vX_[8321];
+ vX_[2946] = vX_[2949] * vX_[801] + vX_[2516] * vX_[604] + vX_[2369] * vX_[731] + vX_[2946] * vX_[664];
+ vX_[2369] = 0 - vX_[2946];
+ vX_[2516] = 0 - vX_[8505];
+ vX_[2949] = 0 - vX_[8329];
+ vX_[8324] = 0 - vX_[8321];
+ vX_[2945] = 0 - vX_[2946];
+ vX_[8333] = 0 - vX_[8505];
+ vX_[2944] =
+ (vX_[2949] * vX_[662] + vX_[8324] * vX_[633] + vX_[2945] * vX_[691] + vX_[8333] * vX_[667]) * 1 / vX_[616];
+ vX_[7488] = 0 - vX_[2944];
+ vX_[7483] = (vX_[2942] * vX_[510] + vX_[2524] * vX_[518] + vX_[2369] * vX_[690] + vX_[2516] * vX_[628] +
+ vX_[7488] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2949] = vX_[2951] * vX_[1083] + vX_[7523] * vX_[602] + vX_[7512] * vX_[725] + vX_[7500] * vX_[666] +
+ vX_[2949] * vX_[668];
+ vX_[7500] = 0 - vX_[2949];
+ vX_[8324] = vX_[2952] * vX_[1083] + vX_[7534] * vX_[602] + vX_[7502] * vX_[725] + vX_[7491] * vX_[666] +
+ vX_[8324] * vX_[668];
+ vX_[7491] = 0 - vX_[8324];
+ vX_[2945] = vX_[2953] * vX_[1083] + vX_[7531] * vX_[602] + vX_[7513] * vX_[725] + vX_[7481] * vX_[666] +
+ vX_[2945] * vX_[668];
+ vX_[7481] = 0 - vX_[2945];
+ vX_[8333] = vX_[2954] * vX_[1083] + vX_[7527] * vX_[602] + vX_[7510] * vX_[725] + vX_[7492] * vX_[666] +
+ vX_[8333] * vX_[668];
+ vX_[7492] = 0 - vX_[8333];
+ vX_[7510] = 0 - vX_[2955] * vX_[1083] - vX_[7517] * vX_[602] - vX_[7506] * vX_[725] - vX_[7489] * vX_[666] -
+ vX_[2944] * vX_[668];
+ vX_[7527] = 0 - vX_[7510];
+ vX_[2954] = (vX_[7500] * vX_[510] + vX_[7491] * vX_[518] + vX_[7481] * vX_[690] + vX_[7492] * vX_[628] +
+ vX_[7527] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7513] = 0 - vX_[2961] * vX_[1426] - vX_[7525] * vX_[620] - vX_[7509] * vX_[723] - vX_[7475] * vX_[590] -
+ vX_[7483] * vX_[624] - vX_[2954] * vX_[637];
+ vX_[7531] = vX_[8505] - vX_[7513];
+ vX_[2953] = vX_[2944] + vX_[8333];
+ vX_[7502] = vX_[7531] * vX_[487] + vX_[2953] * vX_[485];
+ vX_[7534] = vX_[7510] - vX_[7513];
+ vX_[2952] = vX_[7534] * vX_[487];
+ vX_[7512] = vX_[7531] * vX_[473] + vX_[2953] * vX_[487];
+ vX_[7523] = vX_[7534] * vX_[485];
+ vX_[2951] = vX_[7512] + vX_[7523];
+ vX_[7478] = vX_[7502] * vX_[473] + vX_[2952] * vX_[485] + vX_[2951] * vX_[487];
+ vX_[7276] = 0 - vX_[7478];
+ vX_[7487] = vX_[7513] + vX_[7512] * vX_[473] + vX_[2952] * vX_[487];
+ vX_[7479] = 0 - vX_[7487];
+ vX_[7470] = vX_[7513] + vX_[7502] * vX_[487] + vX_[7523] * vX_[485];
+ vX_[7491] = vX_[2957] * vX_[1426] + vX_[2805] * vX_[620] + vX_[7422] * vX_[723] + vX_[7499] * vX_[590] +
+ vX_[2524] * vX_[624] + vX_[7491] * vX_[637];
+ vX_[2524] = vX_[7509] + vX_[7491];
+ vX_[7499] = vX_[7489] + vX_[2945] - vX_[2524];
+ vX_[7500] = vX_[2956] * vX_[1426] + vX_[2813] * vX_[620] + vX_[7520] * vX_[723] + vX_[7504] * vX_[590] +
+ vX_[2942] * vX_[624] + vX_[7500] * vX_[637];
+ vX_[2942] = vX_[7525] + vX_[7500];
+ vX_[7504] = 0 - (vX_[2526] + vX_[2946]) + vX_[2942];
+ vX_[7520] = (vX_[2942] * vX_[473] + vX_[2524] * vX_[487]) * -1;
+ vX_[2813] = 0 - (vX_[7499] * vX_[487] + vX_[7504] * vX_[485]) + vX_[7520];
+ vX_[2956] = vX_[2813] + vX_[7487] * vX_[474];
+ vX_[7422] = 0 - vX_[2956];
+ vX_[2805] = (vX_[2942] * vX_[487] + vX_[2524] * vX_[485]) * -1;
+ vX_[2957] = vX_[7499] * vX_[473] + vX_[7504] * vX_[487] + vX_[2805];
+ vX_[7460] = 0 - vX_[7470];
+ vX_[7471] = vX_[2957] + vX_[7478] * vX_[474] + vX_[7460] * vX_[393];
+ vX_[7468] = vX_[8363] + vX_[8321];
+ vX_[7464] = vX_[8358] + vX_[8329];
+ vX_[7451] = vX_[7468] * vX_[485] + vX_[7464] * vX_[487];
+ vX_[7467] = vX_[7517] + vX_[2949];
+ vX_[7462] = vX_[7506] + vX_[8324];
+ vX_[7457] = vX_[7467] * vX_[487] + vX_[7462] * vX_[485];
+ vX_[7203] = vX_[7451] * vX_[473] + vX_[7457] * vX_[487];
+ vX_[7527] = vX_[2960] * vX_[1426] + vX_[7530] * vX_[620] + vX_[7496] * vX_[723] + vX_[7485] * vX_[590] +
+ vX_[7488] * vX_[624] + vX_[7527] * vX_[637];
+ vX_[7488] = vX_[2954] + vX_[7527];
+ vX_[7492] = vX_[2959] * vX_[1426] + vX_[2769] * vX_[620] + vX_[7521] * vX_[723] + vX_[7508] * vX_[590] +
+ vX_[2516] * vX_[624] + vX_[7492] * vX_[637];
+ vX_[2516] = vX_[7483] + vX_[7492];
+ vX_[7508] = 0 - vX_[2516];
+ vX_[7521] = vX_[7488] * vX_[487] + vX_[7508] * vX_[485];
+ vX_[2769] = 0 - vX_[7521];
+ vX_[2959] = vX_[7203] + vX_[2769] * vX_[393] + vX_[7479] * vX_[489];
+ vX_[7485] = 0 - vX_[2959];
+ vX_[7496] = vX_[7468] * vX_[487] + vX_[7464] * vX_[473];
+ vX_[7530] = vX_[7467] * vX_[473] + vX_[7462] * vX_[487];
+ vX_[2960] = vX_[7496] * vX_[487] + vX_[7530] * vX_[485];
+ vX_[2516] = 0 - vX_[2516];
+ vX_[7466] = vX_[7488] * vX_[473] + vX_[2516] * vX_[487];
+ vX_[7458] = 0 - vX_[7466];
+ vX_[7454] = vX_[2960] + vX_[7458] * vX_[474] + vX_[7470] * vX_[489];
+ vX_[7449] = vX_[7496] * vX_[473] + vX_[7530] * vX_[487];
+ vX_[7435] = vX_[7449] + vX_[7521] * vX_[474];
+ vX_[7437] = vX_[7451] * vX_[487] + vX_[7457] * vX_[485];
+ vX_[7453] = vX_[7437] + vX_[7466] * vX_[393] + vX_[7276] * vX_[489];
+ vX_[7436] = 0 - vX_[7435] + vX_[7453];
+ vX_[7381] = 0 - vX_[7478];
+ vX_[7376] = 0 - vX_[7487];
+ vX_[7479] = vX_[7276] * vX_[611] + vX_[7479] * vX_[556] + vX_[7470] * vX_[452] + vX_[7422] * vX_[490] +
+ vX_[7471] * vX_[501] + vX_[7485] * vX_[481] + vX_[7454] * vX_[475] + vX_[7436] * vX_[472] +
+ vX_[7381] * vX_[608] + vX_[7478] * vX_[605] + vX_[7376] * vX_[555] + vX_[7470] * vX_[559];
+ vX_[7276] = 0 - vX_[2784];
+ vX_[7362] = vX_[3195] * 0.881 + (0 - vX_[3212]) * 0.1104774 + vX_[3214] * 0.0004405;
+ vX_[7364] = vX_[3206] * 0.00185880198235362 + vX_[3208] * 0.880992588508842 + vX_[3212] * -8.81e-05;
+ vX_[7380] = vX_[7276] * vX_[1305] + vX_[7362] * vX_[46] + vX_[7364] * x_in[26];
+ vX_[8064] = 0 - vX_[2816] + vX_[8080] - vX_[8064];
+ vX_[8080] = 0 - vX_[7362];
+ vX_[2816] = vX_[3206] * 0.414812462825713 + vX_[3208] * 0.00185880198235362 + vX_[3214] * 8.81e-05;
+ vX_[7363] = vX_[8064] * vX_[1305] + vX_[8080] * vX_[42] - vX_[2816] * x_in[26];
+ vX_[7308] = 0 - vX_[8136];
+ vX_[7303] = vX_[3193] * 3.146 + (0 - vX_[3194]) * 0.47422804 + vX_[3204] * -0.0825825;
+ vX_[7289] = vX_[3197] * vX_[449] + vX_[3198] * vX_[448] + vX_[3194] * vX_[425] + vX_[3204] * vX_[420];
+ vX_[7291] = vX_[7380] * vX_[395] + vX_[7363] * vX_[397] + vX_[7308] * vX_[1233] + vX_[7303] * vX_[15] +
+ vX_[7289] * x_in[25];
+ vX_[8314] = 0 - vX_[8335] + vX_[8314];
+ vX_[8335] = 0 - vX_[7303];
+ vX_[7307] = vX_[3197] * vX_[447] + vX_[3198] * vX_[449] + vX_[3194] * vX_[431] + vX_[3204] * vX_[430];
+ vX_[7290] = vX_[7380] * vX_[1690] + vX_[7363] * vX_[395] + vX_[8314] * vX_[1233] + vX_[8335] * vX_[43] -
+ vX_[7307] * x_in[25];
+ vX_[7235] = vX_[3152] * -3.44;
+ vX_[7230] = vX_[3176] * 0.1466472;
+ vX_[7216] = vX_[3191] * 0.5824264;
+ vX_[7218] = 0 - vX_[7235] + vX_[7230] - vX_[7216];
+ vX_[7234] = 0 - vX_[8359];
+ vX_[7217] = vX_[3180] * vX_[501] + vX_[3152] * vX_[475] + vX_[3186] * vX_[472] + vX_[3189] * vX_[605] +
+ vX_[3191] * vX_[553];
+ vX_[7106] = vX_[7291] * vX_[1686] + vX_[7290] * vX_[421] + vX_[7218] * vX_[10] + vX_[7234] * vX_[1882] -
+ vX_[7217] * x_in[24];
+ vX_[7096] = vX_[8505] + vX_[7510] + vX_[7513] - vX_[7487] - vX_[7470];
+ vX_[7107] = 0 - vX_[7096];
+ vX_[7520] = vX_[7520] + vX_[7107] * vX_[474];
+ vX_[2805] = vX_[2805] + vX_[7096] * vX_[393];
+ vX_[7104] = 0 - vX_[7471];
+ vX_[7100] = 0 - vX_[7454];
+ vX_[7481] = vX_[2958] * vX_[1426] + vX_[2789] * vX_[620] + vX_[7529] * vX_[723] + vX_[7349] * vX_[590] +
+ vX_[2369] * vX_[624] + vX_[7481] * vX_[637];
+ vX_[2369] = vX_[7475] + vX_[7481] + vX_[7464] + vX_[7462] - vX_[7449] - vX_[7437];
+ vX_[7453] = vX_[2369] - vX_[7453];
+ vX_[7349] = 0 - vX_[7521];
+ vX_[7529] = 0 - vX_[7478];
+ vX_[2789] = 0 - vX_[7470];
+ vX_[2958] = vX_[8325] - vX_[2947];
+ vX_[7090] = vX_[3721] - vX_[2947];
+ vX_[7103] = vX_[2940] + vX_[8122];
+ vX_[7098] = vX_[2525] + vX_[8373];
+ vX_[7093] = vX_[8367] + vX_[2389];
+ vX_[6995] = 0 - vX_[7093];
+ vX_[7102] = vX_[2958] * vX_[487] + vX_[7103] * vX_[485];
+ vX_[7094] = vX_[7090] * vX_[487];
+ vX_[7085] = vX_[2958] * vX_[473] + vX_[7103] * vX_[487];
+ vX_[7075] = vX_[7090] * vX_[485];
+ vX_[7086] = vX_[7085] + vX_[7075];
+ vX_[7083] = vX_[3195] * 0.0004405 + vX_[3206] * -8.81e-05 + vX_[3214] * -0.000227999999999999;
+ vX_[7079] = vX_[3195] * 0.1104774 + vX_[3208] * -8.81e-05 + (0 - vX_[3212]) * 0.025713;
+ vX_[7069] = (0 - vX_[3206]) * 0.0004405;
+ vX_[7082] = (0 - vX_[3208]) * 0.1104774;
+ vX_[7077] = vX_[7069] + vX_[7082];
+ vX_[7077] = vX_[7276] * vX_[1931] + vX_[8064] * vX_[1617] + vX_[7083] * vX_[42] + vX_[7079] * vX_[46] +
+ vX_[7077] * vX_[1305] + vX_[7077] * vX_[1305];
+ vX_[8064] = vX_[3193] * -0.0825825 + (0 - vX_[3199]) * 0.000102 + vX_[3194] * 0.007418 + vX_[3204] * 0.002735;
+ vX_[7276] = vX_[3193] * 0.47422804 + vX_[3199] * 2.1e-05 + (0 - vX_[3194]) * 0.084376 + (0 - vX_[3204]) * 0.007418;
+ vX_[7072] = (0 - vX_[3197]) * -0.0825825;
+ vX_[6922] = (0 - vX_[3198]) * 0.47422804;
+ vX_[7081] = vX_[3194] * 0.000102;
+ vX_[7073] = (0 - vX_[3204]) * 2.1e-05;
+ vX_[7064] = vX_[7072] + vX_[6922] + vX_[7081] + vX_[7073];
+ vX_[7064] = vX_[7077] + vX_[7380] * vX_[1698] + vX_[7363] * vX_[400] + vX_[7308] * vX_[1145] +
+ vX_[8314] * vX_[916] + vX_[8064] * vX_[43] + vX_[7276] * vX_[15] + vX_[7064] * vX_[1233] +
+ vX_[7064] * vX_[1233];
+ vX_[8314] = vX_[3152] * 0.5824264 + (0 - vX_[3176]) * -0.022734 + vX_[3189] * -3.6e-05 + vX_[3191] * -0.133138;
+ vX_[7308] = vX_[3152] * 0.1466472 + vX_[3176] * 0.009466 + (0 - vX_[3189]) * -5.1e-05 + vX_[3191] * -0.022734;
+ vX_[7054] = (0 - vX_[3180]) * 0.5824264;
+ vX_[7065] = (0 - vX_[3186]) * 0.1466472;
+ vX_[7062] = (0 - vX_[3176]) * -3.6e-05;
+ vX_[7058] = (0 - vX_[3191]) * -5.1e-05;
+ vX_[7048] = vX_[7054] + vX_[7065] + vX_[7062] - vX_[7058];
+ vX_[7061] = vX_[3180] * vX_[506] + vX_[3152] * vX_[553] + vX_[3186] * vX_[608] + vX_[3189] * vX_[607] +
+ vX_[3191] * vX_[469];
+ vX_[7048] = vX_[7291] * vX_[1687] + vX_[7290] * vX_[439] + vX_[7064] * -1 + vX_[8268] * vX_[5] +
+ vX_[7234] * vX_[1543] + vX_[8314] * vX_[10] + vX_[7308] * vX_[2916] + vX_[7048] * vX_[1882] +
+ vX_[7048] * vX_[1882] + vX_[7061] * x_in[24];
+ vX_[3210] = vX_[3206] * 0.1104774 + vX_[3208] * 0.0004405 + vX_[3210] * 0.025941;
+ vX_[7234] = (0 - vX_[3195]) * -8.81e-05;
+ vX_[7082] = vX_[7234] + vX_[7082];
+ vX_[3214] = vX_[3195] * 0.0004405 + vX_[3206] * 8.81e-05 + vX_[3214] * 0.000468;
+ vX_[7082] = vX_[2784] * vX_[4114] + vX_[8080] * vX_[1617] + vX_[7083] * vX_[1305] + vX_[3210] * vX_[46] +
+ vX_[7082] * vX_[42] + vX_[7082] * vX_[42] + vX_[3214] * x_in[26];
+ vX_[7234] = vX_[7234] + vX_[7069];
+ vX_[3212] = vX_[3195] * -0.1104774 + vX_[3208] * -8.81e-05 + vX_[3212] * 0.026409;
+ vX_[7234] = vX_[2531] * vX_[4114] + vX_[7362] * vX_[1931] + vX_[7079] * vX_[1305] + vX_[3210] * vX_[42] +
+ vX_[7234] * vX_[46] + vX_[7234] * vX_[46] - vX_[3212] * x_in[26];
+ vX_[3210] = vX_[3197] * 0.47422804 + vX_[3198] * -0.0825825 + vX_[3199] * 0.081641 + (0 - vX_[3194]) * 2.1e-05 +
+ vX_[3204] * 0.000102;
+ vX_[7079] = (0 - vX_[3199]) * 0.007418;
+ vX_[7073] = vX_[6922] + vX_[7079] - vX_[7073];
+ vX_[6922] = vX_[3193] * vX_[415] + vX_[3197] * vX_[430] + vX_[3198] * vX_[420] + vX_[3194] * vX_[464] +
+ vX_[3204] * vX_[460];
+ vX_[7073] = vX_[8081] * -0.35 + vX_[7082] * vX_[395] + vX_[7234] * vX_[397] + vX_[8136] * vX_[4117] +
+ vX_[8335] * vX_[916] + vX_[8064] * vX_[1233] + vX_[3210] * vX_[15] + vX_[7073] * vX_[43] +
+ vX_[7073] * vX_[43] + vX_[6922] * x_in[25];
+ vX_[7079] = vX_[7072] - vX_[7079] - vX_[7081];
+ vX_[7081] = vX_[3193] * vX_[427] + vX_[3197] * vX_[431] + vX_[3198] * vX_[425] + vX_[3194] * vX_[458] +
+ vX_[3204] * vX_[464];
+ vX_[7079] = vX_[7082] * vX_[398] + vX_[7234] * vX_[395] + vX_[1553] * vX_[4117] + vX_[7303] * vX_[1145] +
+ vX_[7276] * vX_[1233] + vX_[3210] * vX_[43] + vX_[7079] * vX_[15] + vX_[7079] * vX_[15] -
+ vX_[7081] * x_in[25];
+ vX_[7216] = vX_[7235] - vX_[7230] + vX_[7216];
+ vX_[7230] = vX_[3180] * 0.1466472 + vX_[3186] * 0.5824264 + vX_[3176] * -5.1e-05 + (0 - vX_[3189]) * -0.123672 +
+ (0 - vX_[3191]) * -3.6e-05;
+ vX_[7235] = vX_[3189] * -0.022734;
+ vX_[7062] = vX_[7054] - vX_[7062] - vX_[7235];
+ vX_[7054] = vX_[3180] * vX_[443] + vX_[3152] * vX_[605] + vX_[3186] * vX_[554] + vX_[3189] * vX_[552] +
+ vX_[3191] * vX_[607];
+ vX_[7062] = vX_[7073] * vX_[433] + vX_[7079] * vX_[421] + vX_[7216] * vX_[5] + vX_[8359] * vX_[4129] +
+ vX_[7230] * vX_[10] + vX_[7308] * vX_[1882] + vX_[7062] * vX_[2916] + vX_[7062] * vX_[2916] -
+ vX_[7054] * x_in[24];
+ vX_[3241] = vX_[3241] * vX_[2082];
+ vX_[7308] = vX_[3241] * vX_[395];
+ vX_[3242] = vX_[3242] * vX_[2082];
+ vX_[8359] = vX_[3242] * vX_[1702];
+ vX_[3243] = vX_[3243] * vX_[2082];
+ vX_[3210] = 0 - vX_[3243];
+ vX_[3213] = vX_[3213] * vX_[2077];
+ vX_[7276] = vX_[3213] * vX_[395];
+ vX_[7303] = vX_[3213] * vX_[1702];
+ vX_[1553] = 0 - vX_[7303];
+ vX_[3229] = vX_[3229] * vX_[2089];
+ vX_[7072] = vX_[3229] * vX_[1702];
+ vX_[3217] = vX_[3217] * vX_[1911];
+ vX_[8064] = vX_[3217] * vX_[395];
+ vX_[3215] = vX_[3215] * vX_[2077];
+ vX_[8335] = vX_[3215] * vX_[395];
+ vX_[8136] = vX_[3215] * vX_[1702];
+ vX_[8081] = vX_[3229] * vX_[395];
+ vX_[3230] = vX_[3230] * vX_[2089];
+ vX_[7362] = 0 - vX_[3230];
+ vX_[2531] = vX_[7362] * vX_[395];
+ vX_[3208] = vX_[3230] * vX_[1702];
+ vX_[3195] = vX_[3241] + vX_[3217];
+ vX_[3218] = vX_[3218] * vX_[1911];
+ vX_[7069] = 0 - vX_[3242] - vX_[3218];
+ vX_[7083] = vX_[3195] * vX_[1702] + vX_[7069] * vX_[395];
+ vX_[8080] = vX_[3218] * vX_[1702];
+ vX_[3235] = vX_[3235] * vX_[2089] + vX_[3223] * vX_[2077];
+ vX_[3223] = 0 - vX_[3235];
+ vX_[2784] = 0 - vX_[3235];
+ vX_[3206] = vX_[2784] * vX_[395];
+ vX_[7056] = vX_[3235] * vX_[1702];
+ vX_[7051] = vX_[3236] * vX_[1830] + vX_[3318] * vX_[1782] + vX_[3321] * vX_[1814];
+ vX_[6849] = 0 - vX_[7051];
+ vX_[7060] = vX_[3236] * vX_[1920] + vX_[3318] * vX_[1815] + vX_[3321] * vX_[1776];
+ vX_[7052] = vX_[6849] * x_in[18] + vX_[7060] * x_in[19];
+ vX_[7043] = 0 - vX_[7052];
+ vX_[7033] = 0 - vX_[7052];
+ vX_[7044] = vX_[7033] * vX_[395];
+ vX_[7041] = vX_[7052] * vX_[1702];
+ vX_[3236] = vX_[3236] * vX_[1812] + vX_[3318] * vX_[1831] + vX_[3321] * vX_[1921];
+ jac[921] = vX_[7307] * vX_[1708] + vX_[7289] * vX_[1145] + vX_[7081] * vX_[2090] + vX_[6922] * vX_[43] + vX_[7064] +
+ vX_[3236] * vX_[1835] + vX_[7051] * vX_[1788] + vX_[7060] * vX_[1821];
+ jac[957] = vX_[2816] * vX_[1739] + vX_[7364] * vX_[1931] + vX_[3212] * vX_[6] + vX_[3214] * vX_[42] + vX_[7077] +
+ vX_[3236] * vX_[1845] + vX_[7051] * vX_[1799] + vX_[7060] * vX_[1818];
+ vX_[3212] = vX_[3236] * x_in[26];
+ vX_[3214] = vX_[3212] * vX_[395];
+ vX_[7077] = vX_[3212] * vX_[1702];
+ vX_[2816] = vX_[3236] * x_in[25];
+ vX_[7364] = vX_[7051] * x_in[24];
+ vX_[7081] = 0 - vX_[7364];
+ vX_[6922] = vX_[2816] * vX_[395];
+ vX_[7064] = 0 - vX_[7364];
+ vX_[7307] = vX_[7064] * vX_[395];
+ vX_[7289] = vX_[2816] * vX_[1702];
+ vX_[3321] = vX_[7364] * vX_[1702];
+ vX_[3318] = vX_[3247] * vX_[1876];
+ vX_[7037] = 0 - vX_[3318];
+ vX_[7024] = 0 - vX_[3318];
+ vX_[7040] = vX_[7024] * vX_[395];
+ vX_[7035] = vX_[3318] * vX_[1702];
+ vX_[7030] = 0 - vX_[7520];
+ vX_[6776] = 0 - vX_[2805];
+ vX_[2369] = 0 - vX_[2369] + vX_[7435];
+ vX_[7435] = 0 - vX_[7466];
+ vX_[7093] = 0 - vX_[7093];
+ vX_[3207] = vX_[3207] * vX_[2077];
+ vX_[7039] = vX_[3207] * vX_[1702];
+ vX_[3209] = vX_[3209] * vX_[2077];
+ vX_[7031] = 0 - vX_[3209];
+ vX_[7027] = vX_[7031] * vX_[395];
+ vX_[3211] = vX_[3211] * vX_[2077];
+ vX_[7022] = 0 - vX_[3211];
+ vX_[3228] = vX_[3228] * vX_[2089];
+ vX_[3244] = vX_[3244] * vX_[2082];
+ vX_[7008] = vX_[3244] * vX_[395];
+ vX_[7010] = vX_[3244] * vX_[1702];
+ vX_[3233] = vX_[3233] * vX_[2079];
+ vX_[7026] = vX_[3233] * vX_[1702];
+ vX_[3245] = vX_[3245] * vX_[2082];
+ vX_[7009] = vX_[3245] * vX_[395];
+ vX_[6954] = 0 - vX_[7009];
+ vX_[6949] = vX_[3245] * vX_[1702];
+ vX_[3234] = vX_[3234] * vX_[2079];
+ vX_[6935] = 0 - vX_[3234];
+ vX_[6937] = vX_[6935] * vX_[395];
+ vX_[6953] = vX_[3207] + vX_[3233];
+ vX_[3234] = vX_[3209] + vX_[3234];
+ vX_[3209] = vX_[6953] * vX_[395] + vX_[3234] * vX_[1702];
+ vX_[3231] = vX_[3231] * vX_[2089] + vX_[3222] * vX_[2082];
+ vX_[3222] = 0 - vX_[3231];
+ vX_[6936] = 0 - vX_[3231];
+ vX_[6881] = vX_[6936] * vX_[395];
+ vX_[6876] = vX_[3231] * vX_[1702];
+ vX_[6862] = 0 - vX_[7060];
+ vX_[6864] = vX_[3236] * x_in[18] + vX_[6862] * x_in[20];
+ vX_[6880] = 0 - vX_[6864];
+ vX_[6863] = vX_[6864] * vX_[1702];
+ vX_[6808] = vX_[3236] * x_in[24];
+ vX_[6803] = vX_[6808] * vX_[1702];
+ vX_[6789] = vX_[7051] * x_in[26];
+ vX_[6791] = vX_[6789] * vX_[395];
+ vX_[6807] = vX_[6789] * vX_[1702];
+ vX_[6790] = vX_[7051] * x_in[25];
+ vX_[6687] = vX_[6808] * vX_[395];
+ vX_[6677] = vX_[6790] * vX_[395];
+ vX_[6688] = vX_[6790] * vX_[1702];
+ vX_[6685] = vX_[3247] * vX_[1866];
+ vX_[6681] = 0 - vX_[6685];
+ vX_[6671] = 0 - vX_[6864];
+ vX_[6684] = 0 - vX_[6685];
+ vX_[6679] = vX_[6671] * vX_[395] + vX_[6684] * vX_[395];
+ vX_[6674] = vX_[6685] * vX_[1702];
+ jac[237] =
+ 0 -
+ (0 - (vX_[2943] * vX_[4135] + vX_[8316] * x_in[22]) +
+ (vX_[2950] * vX_[4135] + vX_[7479] * vX_[487] + vX_[8316] * x_in[20]) * -0.3735 -
+ (vX_[2941] * vX_[3739] + vX_[7106] * x_in[23]) + (vX_[2955] * vX_[3739] + vX_[7106] * x_in[19]) * 0.3735 +
+ (vX_[2961] * vX_[3739] +
+ (vX_[2769] * vX_[556] + vX_[7466] * vX_[611] + vX_[7096] * vX_[500] + vX_[7460] * vX_[502] +
+ vX_[7520] * vX_[472] + vX_[2805] * vX_[481] + vX_[7104] * vX_[484] + vX_[7100] * vX_[501] +
+ vX_[7453] * vX_[490] + vX_[7349] * vX_[554] + vX_[7466] * vX_[608] + vX_[7529] * vX_[443] +
+ vX_[2789] * vX_[561]) *
+ -1 +
+ vX_[7106] * x_in[18]) *
+ -0.207 -
+ (vX_[2950] * vX_[1456] + vX_[2955] * vX_[1893] + vX_[2958] * vX_[719] + vX_[7090] * vX_[717] +
+ vX_[7103] * vX_[715] + vX_[7098] * vX_[688] + vX_[6995] * vX_[490] + vX_[7102] * vX_[696] +
+ vX_[7094] * vX_[695] + vX_[7086] * vX_[472] + vX_[7468] * vX_[680] + vX_[7467] * vX_[658] +
+ vX_[2942] * vX_[508] + vX_[2524] * vX_[498] + vX_[7464] * vX_[681] + vX_[7462] * vX_[661] +
+ vX_[7496] * vX_[659] + vX_[7451] * vX_[610] + vX_[7530] * vX_[660] + vX_[7457] * vX_[657] +
+ vX_[7499] * vX_[497] + vX_[7504] * vX_[507] + vX_[7531] * vX_[617] + vX_[7534] * vX_[615] +
+ vX_[2953] * vX_[613] + vX_[7488] * vX_[634] + vX_[2516] * vX_[635] + vX_[7502] * vX_[562] +
+ vX_[2952] * vX_[558] + vX_[2951] * vX_[612] + vX_[7479] * vX_[488] + vX_[7048] * x_in[19] +
+ vX_[7062] * x_in[20]) +
+ vX_[3196] * vX_[2077] + vX_[3232] * vX_[2079] + vX_[7308] * vX_[394] + vX_[8359] * vX_[394] +
+ vX_[3210] * vX_[394] * 0.35 + vX_[3243] * 0.3735 + vX_[7276] * 0.35 + vX_[7276] * vX_[421] * 0.08 +
+ vX_[7276] * vX_[394] * -0.3735 + vX_[1553] * vX_[421] * 0.3735 + vX_[7303] * vX_[394] * -0.08 +
+ vX_[7072] * vX_[421] * 0.207 + vX_[8064] * vX_[394] + vX_[8335] * vX_[421] * 0.3735 +
+ vX_[8335] * vX_[394] * 0.08 + vX_[8136] * 0.35 + vX_[8136] * vX_[394] * -0.3735 +
+ (vX_[8081] * vX_[394] + vX_[2531] * vX_[421]) * 0.207 + vX_[3208] * vX_[394] * 0.207 +
+ vX_[7083] * vX_[421] + vX_[8080] * vX_[394] + (vX_[8136] * vX_[421] - vX_[3235]) * 0.08 +
+ vX_[3223] * vX_[421] * 0.35 + vX_[3206] * vX_[421] * 0.33 + vX_[7056] * vX_[394] * 0.33 +
+ (0 - vX_[7052]) * 0.08 + vX_[7043] * vX_[421] * 0.35 + vX_[7044] * vX_[421] * 0.33 +
+ vX_[7041] * vX_[394] * 0.33 + vX_[3214] * vX_[394] * 0.33 + vX_[7077] * vX_[421] * 0.33 +
+ vX_[2816] * vX_[394] * 0.35 + (0 - vX_[7364]) * 0.08 + vX_[7081] * vX_[421] * 0.35 +
+ (vX_[6922] * vX_[394] + vX_[7307] * vX_[421]) * 0.33 +
+ (vX_[7289] * vX_[421] + vX_[3321] * vX_[394]) * 0.33 + (0 - vX_[3318]) * 0.08 +
+ vX_[7037] * vX_[421] * 0.35 + vX_[7040] * vX_[421] * 0.33 + vX_[7035] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[2941] * vX_[4135] + vX_[2950] * vX_[1893] + vX_[2958] * vX_[715] + vX_[7098] * vX_[490] +
+ vX_[7085] * vX_[695] + vX_[7102] * vX_[472] + vX_[7467] * vX_[661] + vX_[2942] * vX_[498] +
+ vX_[7464] * vX_[680] + vX_[7496] * vX_[660] + vX_[7451] * vX_[657] + vX_[7499] * vX_[507] +
+ vX_[7531] * vX_[613] + vX_[7488] * vX_[635] + vX_[7512] * vX_[558] + vX_[7502] * vX_[612] +
+ (vX_[7521] * vX_[609] + vX_[7458] * vX_[452] + vX_[7478] * vX_[502] + vX_[7107] * vX_[476] +
+ vX_[7487] * vX_[491] + vX_[7030] * vX_[475] + vX_[2956] * vX_[484] + vX_[6776] * vX_[472] +
+ vX_[2959] * vX_[490] + vX_[2369] * vX_[501] + vX_[7521] * vX_[605] + vX_[7435] * vX_[553] +
+ vX_[7478] * vX_[506] + vX_[7487] * vX_[550]) *
+ 0.207 +
+ vX_[8316] * x_in[23] + vX_[7048] * x_in[20] +
+ (vX_[2955] * vX_[4135] + vX_[7479] * vX_[485] + vX_[8316] * x_in[19]) * -0.3735 +
+ (vX_[2961] * vX_[4135] + vX_[8316] * x_in[18]) * 0.207 - (vX_[2943] * vX_[3739] + vX_[7106] * x_in[22]) +
+ (vX_[2950] * vX_[3739] + vX_[7106] * x_in[20]) * -0.3735 -
+ (vX_[2955] * vX_[1456] + vX_[7090] * vX_[716] + vX_[7103] * vX_[719] + vX_[7093] * vX_[688] +
+ vX_[7094] * vX_[472] + vX_[7075] * vX_[696] + vX_[7468] * vX_[681] + vX_[2524] * vX_[508] +
+ vX_[7462] * vX_[658] + vX_[7530] * vX_[659] + vX_[7457] * vX_[610] + vX_[7504] * vX_[497] +
+ vX_[7534] * vX_[614] + vX_[2953] * vX_[617] + vX_[7508] * vX_[634] + vX_[2952] * vX_[612] +
+ vX_[7523] * vX_[562] + vX_[7479] * vX_[486] + vX_[7062] * x_in[19]) -
+ vX_[3240] * vX_[2082] + vX_[7039] * vX_[421] + vX_[7027] * vX_[421] + vX_[7022] * vX_[394] * 0.35 +
+ vX_[3211] * 0.3735 + (0 - vX_[3228]) * 0.207 - vX_[3216] * vX_[1911] + (0 - vX_[7008]) * 0.35 +
+ (0 - vX_[7008] * vX_[421]) * 0.08 + vX_[7008] * vX_[394] * 0.3735 + vX_[7010] * vX_[421] * 0.3735 +
+ vX_[7010] * vX_[394] * 0.08 + vX_[7026] * vX_[421] + vX_[6954] * vX_[421] * 0.3735 +
+ (0 - vX_[7009] * vX_[394]) * 0.08 + (0 - vX_[6949]) * 0.35 + (0 - vX_[6949] * vX_[421]) * 0.08 +
+ vX_[6949] * vX_[394] * 0.3735 + vX_[6937] * vX_[421] + vX_[3209] * vX_[394] + (0 - vX_[3231]) * 0.08 +
+ vX_[3222] * vX_[421] * 0.35 + vX_[6881] * vX_[421] * 0.33 + vX_[6876] * vX_[394] * 0.33 +
+ (0 - vX_[6864]) * 0.08 + vX_[6880] * vX_[421] * 0.35 + vX_[6863] * vX_[394] * 0.33 + vX_[6808] * 0.08 +
+ vX_[6808] * vX_[421] * 0.35 + vX_[6803] * vX_[394] * -0.33 + vX_[6791] * vX_[394] * 0.33 +
+ vX_[6807] * vX_[421] * 0.33 + vX_[6790] * vX_[394] * 0.35 +
+ (vX_[6687] * vX_[421] + vX_[6677] * vX_[394]) * 0.33 + vX_[6688] * vX_[421] * 0.33 +
+ (0 - vX_[6685]) * 0.08 + vX_[6681] * vX_[421] * 0.35 + vX_[6679] * vX_[421] * 0.33 +
+ vX_[6674] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[3211] = vX_[3614] * 0.881 + (0 - vX_[3616]) * 0.0004405 + vX_[3618] * -8.81e-05;
+ vX_[3243] = vX_[3612] * -0.881;
+ vX_[7103] = vX_[3616] * 0.1104774;
+ vX_[7090] = vX_[3620] * -8.81e-05;
+ vX_[2958] = vX_[3243] - vX_[7103] + vX_[7090];
+ vX_[7107] = vX_[3211] * vX_[42] + vX_[2958] * vX_[46];
+ vX_[7096] = vX_[3604] * 3.146 + (0 - vX_[3605]) * -0.0825825;
+ vX_[7479] = vX_[3603] * -3.146;
+ vX_[7458] = vX_[3605] * 0.47422804;
+ vX_[2516] = vX_[7479] - vX_[7458];
+ vX_[7530] = vX_[7107] + vX_[7096] * vX_[43] + vX_[2516] * vX_[15];
+ vX_[7496] = vX_[3592] * 3.44 + vX_[3595] * 0.5824264;
+ vX_[2769] = 0 - vX_[7496];
+ vX_[7508] = vX_[3586] * 3.44 + (0 - vX_[3595]) * 0.1466472;
+ vX_[7488] = vX_[3586] * vX_[490] + vX_[3558] * vX_[472] + vX_[3592] * vX_[481] + vX_[3595] * vX_[554] +
+ vX_[3597] * vX_[608];
+ vX_[7457] = vX_[7530] * -1 + vX_[2769] * vX_[10] + vX_[7508] * vX_[2916] + vX_[7488] * x_in[24];
+ vX_[7462] = 0 - vX_[3347] * vX_[4116];
+ vX_[7467] = 0 - vX_[7462];
+ vX_[7451] = 0 - vX_[7462];
+ vX_[7464] = (vX_[4116] + vX_[7451] * vX_[743]) * 1 / vX_[718];
+ vX_[7468] = 0 - vX_[7464];
+ vX_[7460] = 0 - vX_[7462];
+ vX_[7504] = 0 - vX_[7464];
+ vX_[2942] = (vX_[7460] * vX_[689] + vX_[7504] * vX_[736]) * 1 / vX_[721];
+ vX_[7499] = 0 - vX_[2942];
+ vX_[2524] = (vX_[7467] * vX_[682] + vX_[7468] * vX_[730] + vX_[7499] * vX_[509]) * 1 / vX_[618];
+ vX_[7451] = vX_[3348] * vX_[1853] + vX_[7451] * vX_[712];
+ vX_[3348] = 0 - vX_[7451];
+ vX_[2951] = 0 - vX_[3349] * vX_[1853] - vX_[7464] * vX_[712];
+ vX_[7523] = 0 - vX_[2951];
+ vX_[7512] = 0 - vX_[7451];
+ vX_[2952] = 0 - vX_[2951];
+ vX_[7534] = (vX_[7512] * vX_[689] + vX_[2952] * vX_[736]) * 1 / vX_[721];
+ vX_[7502] = 0 - vX_[7534];
+ vX_[2953] = (vX_[3348] * vX_[682] + vX_[7523] * vX_[730] + vX_[7502] * vX_[509]) * 1 / vX_[618];
+ vX_[7512] = vX_[3352] * vX_[41] + vX_[7460] * vX_[722] + vX_[7512] * vX_[737];
+ vX_[7460] = 0 - vX_[7512];
+ vX_[2952] = vX_[3353] * vX_[41] + vX_[7504] * vX_[722] + vX_[2952] * vX_[737];
+ vX_[7504] = 0 - vX_[2952];
+ vX_[3353] = 0 - vX_[3354] * vX_[41] - vX_[2942] * vX_[722] - vX_[7534] * vX_[737];
+ vX_[3352] = 0 - vX_[3353];
+ vX_[7531] = (vX_[7460] * vX_[682] + vX_[7504] * vX_[730] + vX_[3352] * vX_[509]) * 1 / vX_[618];
+ vX_[3240] = 0 - vX_[3356] * vX_[801] - vX_[2524] * vX_[604] - vX_[2953] * vX_[731] - vX_[7531] * vX_[664];
+ vX_[3232] = 0 - vX_[7462];
+ vX_[3216] = 0 - vX_[7464];
+ vX_[3196] = 0 - vX_[2942];
+ vX_[6576] = 0 - vX_[2524];
+ vX_[6683] = 0 - vX_[7462];
+ vX_[6675] = 0 - vX_[7464];
+ vX_[6666] = 0 - vX_[2942];
+ vX_[6656] = 0 - vX_[2524];
+ vX_[6667] =
+ (vX_[6683] * vX_[662] + vX_[6675] * vX_[633] + vX_[6666] * vX_[691] + vX_[6656] * vX_[667]) * 1 / vX_[616];
+ vX_[6664] = 0 - vX_[6667];
+ vX_[6660] = (vX_[3232] * vX_[510] + vX_[3216] * vX_[518] + vX_[3196] * vX_[690] + vX_[6576] * vX_[628] +
+ vX_[6664] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6650] = 0 - vX_[7451];
+ vX_[6663] = 0 - vX_[2951];
+ vX_[6658] = 0 - vX_[7534];
+ vX_[6653] = 0 - vX_[2953];
+ vX_[6503] = 0 - vX_[7451];
+ vX_[6662] = 0 - vX_[2951];
+ vX_[6654] = 0 - vX_[7534];
+ vX_[6645] = 0 - vX_[2953];
+ vX_[6635] =
+ (vX_[6503] * vX_[662] + vX_[6662] * vX_[633] + vX_[6654] * vX_[691] + vX_[6645] * vX_[667]) * 1 / vX_[616];
+ vX_[6646] = 0 - vX_[6635];
+ vX_[6643] = (vX_[6650] * vX_[510] + vX_[6663] * vX_[518] + vX_[6658] * vX_[690] + vX_[6653] * vX_[628] +
+ vX_[6646] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6639] = 0 - vX_[7512];
+ vX_[6629] = 0 - vX_[2952];
+ vX_[6642] = 0 - vX_[3353];
+ vX_[6637] = 0 - vX_[7531];
+ vX_[6632] = 0 - vX_[7512];
+ vX_[6430] = 0 - vX_[2952];
+ vX_[6641] = 0 - vX_[3353];
+ vX_[6633] = 0 - vX_[7531];
+ vX_[6624] =
+ (vX_[6632] * vX_[662] + vX_[6430] * vX_[633] + vX_[6641] * vX_[691] + vX_[6633] * vX_[667]) * 1 / vX_[616];
+ vX_[6614] = 0 - vX_[6624];
+ vX_[6625] = (vX_[6639] * vX_[510] + vX_[6629] * vX_[518] + vX_[6642] * vX_[690] + vX_[6637] * vX_[628] +
+ vX_[6614] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7460] = vX_[3350] * vX_[801] + vX_[7467] * vX_[604] + vX_[3348] * vX_[731] + vX_[7460] * vX_[664];
+ vX_[3348] = 0 - vX_[7460];
+ vX_[7504] = vX_[3351] * vX_[801] + vX_[7468] * vX_[604] + vX_[7523] * vX_[731] + vX_[7504] * vX_[664];
+ vX_[7523] = 0 - vX_[7504];
+ vX_[3352] = vX_[3355] * vX_[801] + vX_[7499] * vX_[604] + vX_[7502] * vX_[731] + vX_[3352] * vX_[664];
+ vX_[7502] = 0 - vX_[3352];
+ vX_[7499] = 0 - vX_[3240];
+ vX_[3355] = 0 - vX_[7460];
+ vX_[7468] = 0 - vX_[7504];
+ vX_[3351] = 0 - vX_[3352];
+ vX_[7467] = 0 - vX_[3240];
+ vX_[3350] =
+ (vX_[3355] * vX_[662] + vX_[7468] * vX_[633] + vX_[3351] * vX_[691] + vX_[7467] * vX_[667]) * 1 / vX_[616];
+ vX_[6622] = 0 - vX_[3350];
+ vX_[6618] = (vX_[3348] * vX_[510] + vX_[7523] * vX_[518] + vX_[7502] * vX_[690] + vX_[7499] * vX_[628] +
+ vX_[6622] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3355] = vX_[3357] * vX_[1083] + vX_[6683] * vX_[602] + vX_[6503] * vX_[725] + vX_[6632] * vX_[666] +
+ vX_[3355] * vX_[668];
+ vX_[6632] = 0 - vX_[3355];
+ vX_[7468] = vX_[3358] * vX_[1083] + vX_[6675] * vX_[602] + vX_[6662] * vX_[725] + vX_[6430] * vX_[666] +
+ vX_[7468] * vX_[668];
+ vX_[6430] = 0 - vX_[7468];
+ vX_[3351] = vX_[3359] * vX_[1083] + vX_[6666] * vX_[602] + vX_[6654] * vX_[725] + vX_[6641] * vX_[666] +
+ vX_[3351] * vX_[668];
+ vX_[6641] = 0 - vX_[3351];
+ vX_[7467] = vX_[3360] * vX_[1083] + vX_[6656] * vX_[602] + vX_[6645] * vX_[725] + vX_[6633] * vX_[666] +
+ vX_[7467] * vX_[668];
+ vX_[6633] = 0 - vX_[7467];
+ vX_[6645] = 0 - vX_[3361] * vX_[1083] - vX_[6667] * vX_[602] - vX_[6635] * vX_[725] - vX_[6624] * vX_[666] -
+ vX_[3350] * vX_[668];
+ vX_[6656] = 0 - vX_[6645];
+ vX_[3360] = (vX_[6632] * vX_[510] + vX_[6430] * vX_[518] + vX_[6641] * vX_[690] + vX_[6633] * vX_[628] +
+ vX_[6656] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6654] = 0 - vX_[3367] * vX_[1426] - vX_[6660] * vX_[620] - vX_[6643] * vX_[723] - vX_[6625] * vX_[590] -
+ vX_[6618] * vX_[624] - vX_[3360] * vX_[637];
+ vX_[6666] = vX_[3240] - vX_[6654];
+ vX_[3359] = vX_[3350] + vX_[7467];
+ vX_[6662] = vX_[6666] * vX_[487] + vX_[3359] * vX_[485];
+ vX_[6675] = vX_[6645] - vX_[6654];
+ vX_[3358] = vX_[6675] * vX_[487];
+ vX_[6503] = vX_[6666] * vX_[473] + vX_[3359] * vX_[487];
+ vX_[6683] = vX_[6675] * vX_[485];
+ vX_[3357] = vX_[6503] + vX_[6683];
+ vX_[6605] = vX_[6662] * vX_[473] + vX_[3358] * vX_[485] + vX_[3357] * vX_[487];
+ vX_[6621] = 0 - vX_[6605];
+ vX_[6616] = vX_[6654] + vX_[6503] * vX_[473] + vX_[3358] * vX_[487];
+ vX_[6611] = 0 - vX_[6616];
+ vX_[6357] = vX_[6654] + vX_[6662] * vX_[487] + vX_[6683] * vX_[485];
+ vX_[6430] = vX_[3363] * vX_[1426] + vX_[3216] * vX_[620] + vX_[6663] * vX_[723] + vX_[6629] * vX_[590] +
+ vX_[7523] * vX_[624] + vX_[6430] * vX_[637];
+ vX_[7523] = vX_[6643] + vX_[6430];
+ vX_[6629] = vX_[6624] + vX_[3351] - vX_[7523];
+ vX_[6632] = vX_[3362] * vX_[1426] + vX_[3232] * vX_[620] + vX_[6650] * vX_[723] + vX_[6639] * vX_[590] +
+ vX_[3348] * vX_[624] + vX_[6632] * vX_[637];
+ vX_[3348] = vX_[6660] + vX_[6632];
+ vX_[6639] = 0 - (vX_[7531] + vX_[3352]) + vX_[3348];
+ vX_[6650] = (vX_[3348] * vX_[473] + vX_[7523] * vX_[487]) * -1;
+ vX_[3232] = 0 - (vX_[6629] * vX_[487] + vX_[6639] * vX_[485]) + vX_[6650];
+ vX_[3362] = vX_[3232] + vX_[6616] * vX_[474];
+ vX_[6663] = 0 - vX_[3362];
+ vX_[3216] = (vX_[3348] * vX_[487] + vX_[7523] * vX_[485]) * -1;
+ vX_[3363] = vX_[6629] * vX_[473] + vX_[6639] * vX_[487] + vX_[3216];
+ vX_[6620] = 0 - vX_[6357];
+ vX_[6612] = vX_[3363] + vX_[6605] * vX_[474] + vX_[6620] * vX_[393];
+ vX_[6608] = vX_[2953] + vX_[7504];
+ vX_[6603] = vX_[2524] + vX_[7460];
+ vX_[6589] = vX_[6608] * vX_[485] + vX_[6603] * vX_[487];
+ vX_[6591] = vX_[6667] + vX_[3355];
+ vX_[6607] = vX_[6635] + vX_[7468];
+ vX_[6590] = vX_[6591] * vX_[487] + vX_[6607] * vX_[485];
+ vX_[6535] = vX_[6589] * vX_[473] + vX_[6590] * vX_[487];
+ vX_[6656] = vX_[3366] * vX_[1426] + vX_[6664] * vX_[620] + vX_[6646] * vX_[723] + vX_[6614] * vX_[590] +
+ vX_[6622] * vX_[624] + vX_[6656] * vX_[637];
+ vX_[6622] = vX_[3360] + vX_[6656];
+ vX_[6633] = vX_[3365] * vX_[1426] + vX_[6576] * vX_[620] + vX_[6653] * vX_[723] + vX_[6637] * vX_[590] +
+ vX_[7499] * vX_[624] + vX_[6633] * vX_[637];
+ vX_[7499] = vX_[6618] + vX_[6633];
+ vX_[6637] = 0 - vX_[7499];
+ vX_[6653] = vX_[6622] * vX_[487] + vX_[6637] * vX_[485];
+ vX_[6576] = 0 - vX_[6653];
+ vX_[3365] = vX_[6535] + vX_[6576] * vX_[393] + vX_[6611] * vX_[489];
+ vX_[6614] = 0 - vX_[3365];
+ vX_[6646] = vX_[6608] * vX_[487] + vX_[6603] * vX_[473];
+ vX_[6664] = vX_[6591] * vX_[473] + vX_[6607] * vX_[487];
+ vX_[3366] = vX_[6646] * vX_[487] + vX_[6664] * vX_[485];
+ vX_[7499] = 0 - vX_[7499];
+ vX_[6530] = vX_[6622] * vX_[473] + vX_[7499] * vX_[487];
+ vX_[6516] = 0 - vX_[6530];
+ vX_[6518] = vX_[3366] + vX_[6516] * vX_[474] + vX_[6357] * vX_[489];
+ vX_[6534] = vX_[6646] * vX_[473] + vX_[6664] * vX_[487];
+ vX_[6517] = vX_[6534] + vX_[6653] * vX_[474];
+ vX_[6462] = vX_[6589] * vX_[487] + vX_[6590] * vX_[485];
+ vX_[6457] = vX_[6462] + vX_[6530] * vX_[393] + vX_[6621] * vX_[489];
+ vX_[6443] = 0 - vX_[6517] + vX_[6457];
+ vX_[6445] = 0 - vX_[6605];
+ vX_[6461] = 0 - vX_[6616];
+ vX_[6611] = vX_[6621] * vX_[611] + vX_[6611] * vX_[556] + vX_[6357] * vX_[452] + vX_[6663] * vX_[490] +
+ vX_[6612] * vX_[501] + vX_[6614] * vX_[481] + vX_[6518] * vX_[475] + vX_[6443] * vX_[472] +
+ vX_[6445] * vX_[608] + vX_[6605] * vX_[605] + vX_[6461] * vX_[555] + vX_[6357] * vX_[559];
+ vX_[6621] = 0 - vX_[3211];
+ vX_[6444] = vX_[3601] * 0.881 + (0 - vX_[3618]) * 0.1104774 + vX_[3620] * 0.0004405;
+ vX_[6389] = vX_[3612] * 0.00185880198235362 + vX_[3614] * 0.880992588508842 + vX_[3618] * -8.81e-05;
+ vX_[6384] = vX_[6621] * vX_[1305] + vX_[6444] * vX_[46] + vX_[6389] * x_in[26];
+ vX_[7090] = 0 - vX_[3243] + vX_[7103] - vX_[7090];
+ vX_[7103] = 0 - vX_[6444];
+ vX_[3243] = vX_[3612] * 0.414812462825713 + vX_[3614] * 0.00185880198235362 + vX_[3620] * 8.81e-05;
+ vX_[6370] = vX_[7090] * vX_[1305] + vX_[7103] * vX_[42] - vX_[3243] * x_in[26];
+ vX_[6372] = 0 - vX_[7096];
+ vX_[6388] = vX_[3599] * 3.146 + (0 - vX_[3600]) * 0.47422804 + vX_[3610] * -0.0825825;
+ vX_[6371] = vX_[3603] * vX_[449] + vX_[3604] * vX_[448] + vX_[3600] * vX_[425] + vX_[3610] * vX_[420];
+ vX_[6258] = vX_[6384] * vX_[395] + vX_[6370] * vX_[397] + vX_[6372] * vX_[1233] + vX_[6388] * vX_[15] +
+ vX_[6371] * x_in[25];
+ vX_[7458] = 0 - vX_[7479] + vX_[7458];
+ vX_[7479] = 0 - vX_[6388];
+ vX_[6248] = vX_[3603] * vX_[447] + vX_[3604] * vX_[449] + vX_[3600] * vX_[431] + vX_[3610] * vX_[430];
+ vX_[6259] = vX_[6384] * vX_[1690] + vX_[6370] * vX_[395] + vX_[7458] * vX_[1233] + vX_[7479] * vX_[43] -
+ vX_[6248] * x_in[25];
+ vX_[6256] = vX_[3558] * -3.44;
+ vX_[6252] = vX_[3582] * 0.1466472;
+ vX_[6242] = vX_[3597] * 0.5824264;
+ vX_[6255] = 0 - vX_[6256] + vX_[6252] - vX_[6242];
+ vX_[6250] = 0 - vX_[7508];
+ vX_[6245] = vX_[3586] * vX_[501] + vX_[3558] * vX_[475] + vX_[3592] * vX_[472] + vX_[3595] * vX_[605] +
+ vX_[3597] * vX_[553];
+ vX_[6147] = vX_[6258] * vX_[1686] + vX_[6259] * vX_[421] + vX_[6255] * vX_[10] + vX_[6250] * vX_[1882] -
+ vX_[6245] * x_in[24];
+ vX_[6254] = vX_[3240] + vX_[6645] + vX_[6654] - vX_[6616] - vX_[6357];
+ vX_[6246] = 0 - vX_[6254];
+ vX_[6650] = vX_[6650] + vX_[6246] * vX_[474];
+ vX_[3216] = vX_[3216] + vX_[6254] * vX_[393];
+ vX_[6237] = 0 - vX_[6612];
+ vX_[6227] = 0 - vX_[6518];
+ vX_[6641] = vX_[3364] * vX_[1426] + vX_[3196] * vX_[620] + vX_[6658] * vX_[723] + vX_[6642] * vX_[590] +
+ vX_[7502] * vX_[624] + vX_[6641] * vX_[637];
+ vX_[7502] = vX_[6625] + vX_[6641] + vX_[6603] + vX_[6607] - vX_[6534] - vX_[6462];
+ vX_[6457] = vX_[7502] - vX_[6457];
+ vX_[6642] = 0 - vX_[6653];
+ vX_[6658] = 0 - vX_[6605];
+ vX_[3196] = 0 - vX_[6357];
+ vX_[3364] = vX_[7462] - vX_[3353];
+ vX_[6238] = vX_[2951] - vX_[3353];
+ vX_[6235] = vX_[7464] + vX_[7451];
+ vX_[6231] = vX_[7534] + vX_[2952];
+ vX_[6221] = vX_[2942] + vX_[7512];
+ vX_[6234] = 0 - vX_[6221];
+ vX_[6229] = vX_[3364] * vX_[487] + vX_[6235] * vX_[485];
+ vX_[6224] = vX_[6238] * vX_[487];
+ vX_[6074] = vX_[3364] * vX_[473] + vX_[6235] * vX_[487];
+ vX_[6233] = vX_[6238] * vX_[485];
+ vX_[6225] = vX_[6074] + vX_[6233];
+ vX_[6216] = vX_[3601] * 0.0004405 + vX_[3612] * -8.81e-05 + vX_[3620] * -0.000227999999999999;
+ vX_[6206] = vX_[3601] * 0.1104774 + vX_[3614] * -8.81e-05 + (0 - vX_[3618]) * 0.025713;
+ vX_[6217] = (0 - vX_[3612]) * 0.0004405;
+ vX_[6214] = (0 - vX_[3614]) * 0.1104774;
+ vX_[6210] = vX_[6217] + vX_[6214];
+ vX_[6210] = vX_[6621] * vX_[1931] + vX_[7090] * vX_[1617] + vX_[6216] * vX_[42] + vX_[6206] * vX_[46] +
+ vX_[6210] * vX_[1305] + vX_[6210] * vX_[1305];
+ vX_[7090] = vX_[3599] * -0.0825825 + (0 - vX_[3605]) * 0.000102 + vX_[3600] * 0.007418 + vX_[3610] * 0.002735;
+ vX_[6621] = vX_[3599] * 0.47422804 + vX_[3605] * 2.1e-05 + (0 - vX_[3600]) * 0.084376 + (0 - vX_[3610]) * 0.007418;
+ vX_[6200] = (0 - vX_[3603]) * -0.0825825;
+ vX_[6213] = (0 - vX_[3604]) * 0.47422804;
+ vX_[6208] = vX_[3600] * 0.000102;
+ vX_[6203] = (0 - vX_[3610]) * 2.1e-05;
+ vX_[6001] = vX_[6200] + vX_[6213] + vX_[6208] + vX_[6203];
+ vX_[6001] = vX_[6210] + vX_[6384] * vX_[1698] + vX_[6370] * vX_[400] + vX_[6372] * vX_[1145] +
+ vX_[7458] * vX_[916] + vX_[7090] * vX_[43] + vX_[6621] * vX_[15] + vX_[6001] * vX_[1233] +
+ vX_[6001] * vX_[1233];
+ vX_[7458] = vX_[3558] * 0.5824264 + (0 - vX_[3582]) * -0.022734 + vX_[3595] * -3.6e-05 + vX_[3597] * -0.133138;
+ vX_[6372] = vX_[3558] * 0.1466472 + vX_[3582] * 0.009466 + (0 - vX_[3595]) * -5.1e-05 + vX_[3597] * -0.022734;
+ vX_[6212] = (0 - vX_[3586]) * 0.5824264;
+ vX_[6204] = (0 - vX_[3592]) * 0.1466472;
+ vX_[6195] = (0 - vX_[3582]) * -3.6e-05;
+ vX_[6185] = (0 - vX_[3597]) * -5.1e-05;
+ vX_[6196] = vX_[6212] + vX_[6204] + vX_[6195] - vX_[6185];
+ vX_[6193] = vX_[3586] * vX_[506] + vX_[3558] * vX_[553] + vX_[3592] * vX_[608] + vX_[3595] * vX_[607] +
+ vX_[3597] * vX_[469];
+ vX_[6196] = vX_[6258] * vX_[1687] + vX_[6259] * vX_[439] + vX_[6001] * -1 + vX_[7496] * vX_[5] +
+ vX_[6250] * vX_[1543] + vX_[7458] * vX_[10] + vX_[6372] * vX_[2916] + vX_[6196] * vX_[1882] +
+ vX_[6196] * vX_[1882] + vX_[6193] * x_in[24];
+ vX_[3616] = vX_[3612] * 0.1104774 + vX_[3614] * 0.0004405 + vX_[3616] * 0.025941;
+ vX_[6250] = (0 - vX_[3601]) * -8.81e-05;
+ vX_[6214] = vX_[6250] + vX_[6214];
+ vX_[3620] = vX_[3601] * 0.0004405 + vX_[3612] * 8.81e-05 + vX_[3620] * 0.000468;
+ vX_[6214] = vX_[3211] * vX_[4114] + vX_[7103] * vX_[1617] + vX_[6216] * vX_[1305] + vX_[3616] * vX_[46] +
+ vX_[6214] * vX_[42] + vX_[6214] * vX_[42] + vX_[3620] * x_in[26];
+ vX_[6250] = vX_[6250] + vX_[6217];
+ vX_[3618] = vX_[3601] * -0.1104774 + vX_[3614] * -8.81e-05 + vX_[3618] * 0.026409;
+ vX_[6250] = vX_[2958] * vX_[4114] + vX_[6444] * vX_[1931] + vX_[6206] * vX_[1305] + vX_[3616] * vX_[42] +
+ vX_[6250] * vX_[46] + vX_[6250] * vX_[46] - vX_[3618] * x_in[26];
+ vX_[3616] = vX_[3603] * 0.47422804 + vX_[3604] * -0.0825825 + vX_[3605] * 0.081641 + (0 - vX_[3600]) * 2.1e-05 +
+ vX_[3610] * 0.000102;
+ vX_[6206] = (0 - vX_[3605]) * 0.007418;
+ vX_[6203] = vX_[6213] + vX_[6206] - vX_[6203];
+ vX_[6213] = vX_[3599] * vX_[415] + vX_[3603] * vX_[430] + vX_[3604] * vX_[420] + vX_[3600] * vX_[464] +
+ vX_[3610] * vX_[460];
+ vX_[6203] = vX_[7107] * -0.35 + vX_[6214] * vX_[395] + vX_[6250] * vX_[397] + vX_[7096] * vX_[4117] +
+ vX_[7479] * vX_[916] + vX_[7090] * vX_[1233] + vX_[3616] * vX_[15] + vX_[6203] * vX_[43] +
+ vX_[6203] * vX_[43] + vX_[6213] * x_in[25];
+ vX_[6206] = vX_[6200] - vX_[6206] - vX_[6208];
+ vX_[6208] = vX_[3599] * vX_[427] + vX_[3603] * vX_[431] + vX_[3604] * vX_[425] + vX_[3600] * vX_[458] +
+ vX_[3610] * vX_[464];
+ vX_[6206] = vX_[6214] * vX_[398] + vX_[6250] * vX_[395] + vX_[2516] * vX_[4117] + vX_[6388] * vX_[1145] +
+ vX_[6621] * vX_[1233] + vX_[3616] * vX_[43] + vX_[6206] * vX_[15] + vX_[6206] * vX_[15] -
+ vX_[6208] * x_in[25];
+ vX_[6242] = vX_[6256] - vX_[6252] + vX_[6242];
+ vX_[6252] = vX_[3586] * 0.1466472 + vX_[3592] * 0.5824264 + vX_[3582] * -5.1e-05 + (0 - vX_[3595]) * -0.123672 +
+ (0 - vX_[3597]) * -3.6e-05;
+ vX_[6256] = vX_[3595] * -0.022734;
+ vX_[6195] = vX_[6212] - vX_[6195] - vX_[6256];
+ vX_[6212] = vX_[3586] * vX_[443] + vX_[3558] * vX_[605] + vX_[3592] * vX_[554] + vX_[3595] * vX_[552] +
+ vX_[3597] * vX_[607];
+ vX_[6195] = vX_[6203] * vX_[433] + vX_[6206] * vX_[421] + vX_[6242] * vX_[5] + vX_[7508] * vX_[4129] +
+ vX_[6252] * vX_[10] + vX_[6372] * vX_[1882] + vX_[6195] * vX_[2916] + vX_[6195] * vX_[2916] -
+ vX_[6212] * x_in[24];
+ vX_[3647] = vX_[3647] * vX_[2082];
+ vX_[6372] = vX_[3647] * vX_[395];
+ vX_[3648] = vX_[3648] * vX_[2082];
+ vX_[7508] = vX_[3648] * vX_[1702];
+ vX_[3649] = vX_[3649] * vX_[2082];
+ vX_[3616] = 0 - vX_[3649];
+ vX_[3619] = vX_[3619] * vX_[2077];
+ vX_[6621] = vX_[3619] * vX_[395];
+ vX_[6388] = vX_[3619] * vX_[1702];
+ vX_[2516] = 0 - vX_[6388];
+ vX_[3635] = vX_[3635] * vX_[2089];
+ vX_[6200] = vX_[3635] * vX_[1702];
+ vX_[3623] = vX_[3623] * vX_[1911];
+ vX_[7090] = vX_[3623] * vX_[395];
+ vX_[3621] = vX_[3621] * vX_[2077];
+ vX_[7479] = vX_[3621] * vX_[395];
+ vX_[7096] = vX_[3621] * vX_[1702];
+ vX_[7107] = vX_[3635] * vX_[395];
+ vX_[3636] = vX_[3636] * vX_[2089];
+ vX_[6444] = 0 - vX_[3636];
+ vX_[2958] = vX_[6444] * vX_[395];
+ vX_[3614] = vX_[3636] * vX_[1702];
+ vX_[3601] = vX_[3647] + vX_[3623];
+ vX_[3624] = vX_[3624] * vX_[1911];
+ vX_[6217] = 0 - vX_[3648] - vX_[3624];
+ vX_[6216] = vX_[3601] * vX_[1702] + vX_[6217] * vX_[395];
+ vX_[7103] = vX_[3624] * vX_[1702];
+ vX_[3641] = vX_[3641] * vX_[2089] + vX_[3629] * vX_[2077];
+ vX_[3629] = 0 - vX_[3641];
+ vX_[3211] = 0 - vX_[3641];
+ vX_[3612] = vX_[3211] * vX_[395];
+ vX_[6189] = vX_[3641] * vX_[1702];
+ vX_[6176] = vX_[3642] * vX_[1830] + vX_[3724] * vX_[1782] + vX_[3727] * vX_[1814];
+ vX_[6192] = 0 - vX_[6176];
+ vX_[6187] = vX_[3642] * vX_[1920] + vX_[3724] * vX_[1815] + vX_[3727] * vX_[1776];
+ vX_[6182] = vX_[6192] * x_in[18] + vX_[6187] * x_in[19];
+ vX_[5928] = 0 - vX_[6182];
+ vX_[6191] = 0 - vX_[6182];
+ vX_[6183] = vX_[6191] * vX_[395];
+ vX_[6179] = vX_[6182] * vX_[1702];
+ vX_[3642] = vX_[3642] * vX_[1812] + vX_[3724] * vX_[1831] + vX_[3727] * vX_[1921];
+ jac[922] = vX_[6248] * vX_[1708] + vX_[6371] * vX_[1145] + vX_[6208] * vX_[2090] + vX_[6213] * vX_[43] + vX_[6001] +
+ vX_[3642] * vX_[1835] + vX_[6176] * vX_[1788] + vX_[6187] * vX_[1821];
+ jac[958] = vX_[3243] * vX_[1739] + vX_[6389] * vX_[1931] + vX_[3618] * vX_[6] + vX_[3620] * vX_[42] + vX_[6210] +
+ vX_[3642] * vX_[1845] + vX_[6176] * vX_[1799] + vX_[6187] * vX_[1818];
+ vX_[3618] = vX_[3642] * x_in[26];
+ vX_[3620] = vX_[3618] * vX_[395];
+ vX_[6210] = vX_[3618] * vX_[1702];
+ vX_[3243] = vX_[3642] * x_in[25];
+ vX_[6389] = vX_[6176] * x_in[24];
+ vX_[6208] = 0 - vX_[6389];
+ vX_[6213] = vX_[3243] * vX_[395];
+ vX_[6001] = 0 - vX_[6389];
+ vX_[6248] = vX_[6001] * vX_[395];
+ vX_[6371] = vX_[3243] * vX_[1702];
+ vX_[3727] = vX_[6389] * vX_[1702];
+ vX_[3724] = vX_[3653] * vX_[1876];
+ vX_[6174] = 0 - vX_[3724];
+ vX_[6160] = 0 - vX_[3724];
+ vX_[6162] = vX_[6160] * vX_[395];
+ vX_[6178] = vX_[3724] * vX_[1702];
+ vX_[6161] = 0 - vX_[6650];
+ vX_[6106] = 0 - vX_[3216];
+ vX_[7502] = 0 - vX_[7502] + vX_[6517];
+ vX_[6517] = 0 - vX_[6530];
+ vX_[6221] = 0 - vX_[6221];
+ vX_[3613] = vX_[3613] * vX_[2077];
+ vX_[6101] = vX_[3613] * vX_[1702];
+ vX_[3615] = vX_[3615] * vX_[2077];
+ vX_[6087] = 0 - vX_[3615];
+ vX_[6089] = vX_[6087] * vX_[395];
+ vX_[3617] = vX_[3617] * vX_[2077];
+ vX_[6105] = 0 - vX_[3617];
+ vX_[3634] = vX_[3634] * vX_[2089];
+ vX_[3650] = vX_[3650] * vX_[2082];
+ vX_[6088] = vX_[3650] * vX_[395];
+ vX_[6033] = vX_[3650] * vX_[1702];
+ vX_[3639] = vX_[3639] * vX_[2079];
+ vX_[6028] = vX_[3639] * vX_[1702];
+ vX_[3651] = vX_[3651] * vX_[2082];
+ vX_[6014] = vX_[3651] * vX_[395];
+ vX_[6016] = 0 - vX_[6014];
+ vX_[6032] = vX_[3651] * vX_[1702];
+ vX_[3640] = vX_[3640] * vX_[2079];
+ vX_[6015] = 0 - vX_[3640];
+ vX_[5960] = vX_[6015] * vX_[395];
+ vX_[5955] = vX_[3613] + vX_[3639];
+ vX_[3640] = vX_[3615] + vX_[3640];
+ vX_[3615] = vX_[5955] * vX_[395] + vX_[3640] * vX_[1702];
+ vX_[3637] = vX_[3637] * vX_[2089] + vX_[3628] * vX_[2082];
+ vX_[3628] = 0 - vX_[3637];
+ vX_[5941] = 0 - vX_[3637];
+ vX_[5943] = vX_[5941] * vX_[395];
+ vX_[5959] = vX_[3637] * vX_[1702];
+ vX_[5942] = 0 - vX_[6187];
+ vX_[5829] = vX_[3642] * x_in[18] + vX_[5942] * x_in[20];
+ vX_[5819] = 0 - vX_[5829];
+ vX_[5830] = vX_[5829] * vX_[1702];
+ vX_[5827] = vX_[3642] * x_in[24];
+ vX_[5823] = vX_[5827] * vX_[1702];
+ vX_[5813] = vX_[6176] * x_in[26];
+ vX_[5826] = vX_[5813] * vX_[395];
+ vX_[5821] = vX_[5813] * vX_[1702];
+ vX_[5816] = vX_[6176] * x_in[25];
+ vX_[5718] = vX_[5827] * vX_[395];
+ vX_[5825] = vX_[5816] * vX_[395];
+ vX_[5817] = vX_[5816] * vX_[1702];
+ vX_[5808] = vX_[3653] * vX_[1866];
+ vX_[5798] = 0 - vX_[5808];
+ vX_[5809] = 0 - vX_[5829];
+ vX_[5806] = 0 - vX_[5808];
+ vX_[5802] = vX_[5809] * vX_[395] + vX_[5806] * vX_[395];
+ vX_[5792] = vX_[5808] * vX_[1702];
+ jac[238] =
+ 0 -
+ (0 - (vX_[3349] * vX_[4135] + vX_[7457] * x_in[22]) +
+ (vX_[3356] * vX_[4135] + vX_[6611] * vX_[487] + vX_[7457] * x_in[20]) * -0.3735 -
+ (vX_[3347] * vX_[3739] + vX_[6147] * x_in[23]) + (vX_[3361] * vX_[3739] + vX_[6147] * x_in[19]) * 0.3735 +
+ (vX_[3367] * vX_[3739] +
+ (vX_[6576] * vX_[556] + vX_[6530] * vX_[611] + vX_[6254] * vX_[500] + vX_[6620] * vX_[502] +
+ vX_[6650] * vX_[472] + vX_[3216] * vX_[481] + vX_[6237] * vX_[484] + vX_[6227] * vX_[501] +
+ vX_[6457] * vX_[490] + vX_[6642] * vX_[554] + vX_[6530] * vX_[608] + vX_[6658] * vX_[443] +
+ vX_[3196] * vX_[561]) *
+ -1 +
+ vX_[6147] * x_in[18]) *
+ -0.207 -
+ (vX_[3356] * vX_[1456] + vX_[3361] * vX_[1893] + vX_[3364] * vX_[719] + vX_[6238] * vX_[717] +
+ vX_[6235] * vX_[715] + vX_[6231] * vX_[688] + vX_[6234] * vX_[490] + vX_[6229] * vX_[696] +
+ vX_[6224] * vX_[695] + vX_[6225] * vX_[472] + vX_[6608] * vX_[680] + vX_[6591] * vX_[658] +
+ vX_[3348] * vX_[508] + vX_[7523] * vX_[498] + vX_[6603] * vX_[681] + vX_[6607] * vX_[661] +
+ vX_[6646] * vX_[659] + vX_[6589] * vX_[610] + vX_[6664] * vX_[660] + vX_[6590] * vX_[657] +
+ vX_[6629] * vX_[497] + vX_[6639] * vX_[507] + vX_[6666] * vX_[617] + vX_[6675] * vX_[615] +
+ vX_[3359] * vX_[613] + vX_[6622] * vX_[634] + vX_[7499] * vX_[635] + vX_[6662] * vX_[562] +
+ vX_[3358] * vX_[558] + vX_[3357] * vX_[612] + vX_[6611] * vX_[488] + vX_[6196] * x_in[19] +
+ vX_[6195] * x_in[20]) +
+ vX_[3602] * vX_[2077] + vX_[3638] * vX_[2079] + vX_[6372] * vX_[394] + vX_[7508] * vX_[394] +
+ vX_[3616] * vX_[394] * 0.35 + vX_[3649] * 0.3735 + vX_[6621] * 0.35 + vX_[6621] * vX_[421] * 0.08 +
+ vX_[6621] * vX_[394] * -0.3735 + vX_[2516] * vX_[421] * 0.3735 + vX_[6388] * vX_[394] * -0.08 +
+ vX_[6200] * vX_[421] * 0.207 + vX_[7090] * vX_[394] + vX_[7479] * vX_[421] * 0.3735 +
+ vX_[7479] * vX_[394] * 0.08 + vX_[7096] * 0.35 + vX_[7096] * vX_[394] * -0.3735 +
+ (vX_[7107] * vX_[394] + vX_[2958] * vX_[421]) * 0.207 + vX_[3614] * vX_[394] * 0.207 +
+ vX_[6216] * vX_[421] + vX_[7103] * vX_[394] + (vX_[7096] * vX_[421] - vX_[3641]) * 0.08 +
+ vX_[3629] * vX_[421] * 0.35 + vX_[3612] * vX_[421] * 0.33 + vX_[6189] * vX_[394] * 0.33 +
+ (0 - vX_[6182]) * 0.08 + vX_[5928] * vX_[421] * 0.35 + vX_[6183] * vX_[421] * 0.33 +
+ vX_[6179] * vX_[394] * 0.33 + vX_[3620] * vX_[394] * 0.33 + vX_[6210] * vX_[421] * 0.33 +
+ vX_[3243] * vX_[394] * 0.35 + (0 - vX_[6389]) * 0.08 + vX_[6208] * vX_[421] * 0.35 +
+ (vX_[6213] * vX_[394] + vX_[6248] * vX_[421]) * 0.33 +
+ (vX_[6371] * vX_[421] + vX_[3727] * vX_[394]) * 0.33 + (0 - vX_[3724]) * 0.08 +
+ vX_[6174] * vX_[421] * 0.35 + vX_[6162] * vX_[421] * 0.33 + vX_[6178] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[3347] * vX_[4135] + vX_[3356] * vX_[1893] + vX_[3364] * vX_[715] + vX_[6231] * vX_[490] +
+ vX_[6074] * vX_[695] + vX_[6229] * vX_[472] + vX_[6591] * vX_[661] + vX_[3348] * vX_[498] +
+ vX_[6603] * vX_[680] + vX_[6646] * vX_[660] + vX_[6589] * vX_[657] + vX_[6629] * vX_[507] +
+ vX_[6666] * vX_[613] + vX_[6622] * vX_[635] + vX_[6503] * vX_[558] + vX_[6662] * vX_[612] +
+ (vX_[6653] * vX_[609] + vX_[6516] * vX_[452] + vX_[6605] * vX_[502] + vX_[6246] * vX_[476] +
+ vX_[6616] * vX_[491] + vX_[6161] * vX_[475] + vX_[3362] * vX_[484] + vX_[6106] * vX_[472] +
+ vX_[3365] * vX_[490] + vX_[7502] * vX_[501] + vX_[6653] * vX_[605] + vX_[6517] * vX_[553] +
+ vX_[6605] * vX_[506] + vX_[6616] * vX_[550]) *
+ 0.207 +
+ vX_[7457] * x_in[23] + vX_[6196] * x_in[20] +
+ (vX_[3361] * vX_[4135] + vX_[6611] * vX_[485] + vX_[7457] * x_in[19]) * -0.3735 +
+ (vX_[3367] * vX_[4135] + vX_[7457] * x_in[18]) * 0.207 - (vX_[3349] * vX_[3739] + vX_[6147] * x_in[22]) +
+ (vX_[3356] * vX_[3739] + vX_[6147] * x_in[20]) * -0.3735 -
+ (vX_[3361] * vX_[1456] + vX_[6238] * vX_[716] + vX_[6235] * vX_[719] + vX_[6221] * vX_[688] +
+ vX_[6224] * vX_[472] + vX_[6233] * vX_[696] + vX_[6608] * vX_[681] + vX_[7523] * vX_[508] +
+ vX_[6607] * vX_[658] + vX_[6664] * vX_[659] + vX_[6590] * vX_[610] + vX_[6639] * vX_[497] +
+ vX_[6675] * vX_[614] + vX_[3359] * vX_[617] + vX_[6637] * vX_[634] + vX_[3358] * vX_[612] +
+ vX_[6683] * vX_[562] + vX_[6611] * vX_[486] + vX_[6195] * x_in[19]) -
+ vX_[3646] * vX_[2082] + vX_[6101] * vX_[421] + vX_[6089] * vX_[421] + vX_[6105] * vX_[394] * 0.35 +
+ vX_[3617] * 0.3735 + (0 - vX_[3634]) * 0.207 - vX_[3622] * vX_[1911] + (0 - vX_[6088]) * 0.35 +
+ (0 - vX_[6088] * vX_[421]) * 0.08 + vX_[6088] * vX_[394] * 0.3735 + vX_[6033] * vX_[421] * 0.3735 +
+ vX_[6033] * vX_[394] * 0.08 + vX_[6028] * vX_[421] + vX_[6016] * vX_[421] * 0.3735 +
+ (0 - vX_[6014] * vX_[394]) * 0.08 + (0 - vX_[6032]) * 0.35 + (0 - vX_[6032] * vX_[421]) * 0.08 +
+ vX_[6032] * vX_[394] * 0.3735 + vX_[5960] * vX_[421] + vX_[3615] * vX_[394] + (0 - vX_[3637]) * 0.08 +
+ vX_[3628] * vX_[421] * 0.35 + vX_[5943] * vX_[421] * 0.33 + vX_[5959] * vX_[394] * 0.33 +
+ (0 - vX_[5829]) * 0.08 + vX_[5819] * vX_[421] * 0.35 + vX_[5830] * vX_[394] * 0.33 + vX_[5827] * 0.08 +
+ vX_[5827] * vX_[421] * 0.35 + vX_[5823] * vX_[394] * -0.33 + vX_[5826] * vX_[394] * 0.33 +
+ vX_[5821] * vX_[421] * 0.33 + vX_[5816] * vX_[394] * 0.35 +
+ (vX_[5718] * vX_[421] + vX_[5825] * vX_[394]) * 0.33 + vX_[5817] * vX_[421] * 0.33 +
+ (0 - vX_[5808]) * 0.08 + vX_[5798] * vX_[421] * 0.35 + vX_[5802] * vX_[421] * 0.33 +
+ vX_[5792] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[3617] = vX_[4010] * 0.881 + (0 - vX_[4012]) * 0.0004405 + vX_[4014] * -8.81e-05;
+ vX_[3649] = vX_[4008] * -0.881;
+ vX_[6235] = vX_[4012] * 0.1104774;
+ vX_[6238] = vX_[4016] * -8.81e-05;
+ vX_[3364] = vX_[3649] - vX_[6235] + vX_[6238];
+ vX_[6246] = vX_[3617] * vX_[42] + vX_[3364] * vX_[46];
+ vX_[6254] = vX_[4000] * 3.146 + (0 - vX_[4001]) * -0.0825825;
+ vX_[6611] = vX_[3999] * -3.146;
+ vX_[6516] = vX_[4001] * 0.47422804;
+ vX_[7499] = vX_[6611] - vX_[6516];
+ vX_[6664] = vX_[6246] + vX_[6254] * vX_[43] + vX_[7499] * vX_[15];
+ vX_[6646] = vX_[3988] * 3.44 + vX_[3991] * 0.5824264;
+ vX_[6576] = 0 - vX_[6646];
+ vX_[6637] = vX_[3982] * 3.44 + (0 - vX_[3991]) * 0.1466472;
+ vX_[6622] = vX_[3982] * vX_[490] + vX_[3954] * vX_[472] + vX_[3988] * vX_[481] + vX_[3991] * vX_[554] +
+ vX_[3993] * vX_[608];
+ vX_[6590] = vX_[6664] * -1 + vX_[6576] * vX_[10] + vX_[6637] * vX_[2916] + vX_[6622] * x_in[24];
+ vX_[6607] = 0 - vX_[2917] * vX_[4116];
+ vX_[6591] = 0 - vX_[6607];
+ vX_[6589] = 0 - vX_[6607];
+ vX_[6603] = vX_[6589] * vX_[743] * 1 / vX_[718];
+ vX_[6608] = 0 - vX_[6603];
+ vX_[6620] = 0 - vX_[6607];
+ vX_[6639] = 0 - vX_[6603];
+ vX_[3348] = (vX_[6620] * vX_[689] + vX_[6639] * vX_[736]) * 1 / vX_[721];
+ vX_[6629] = 0 - vX_[3348];
+ vX_[7523] = (vX_[6591] * vX_[682] + vX_[6608] * vX_[730] + vX_[6629] * vX_[509]) * 1 / vX_[618];
+ vX_[6589] = vX_[3744] * vX_[1853] + vX_[6589] * vX_[712];
+ vX_[3744] = 0 - vX_[6589];
+ vX_[3357] = 0 - vX_[3745] * vX_[1853] - vX_[6603] * vX_[712];
+ vX_[6683] = 0 - vX_[3357];
+ vX_[6503] = 0 - vX_[6589];
+ vX_[3358] = 0 - vX_[3357];
+ vX_[6675] = (vX_[6503] * vX_[689] + vX_[3358] * vX_[736]) * 1 / vX_[721];
+ vX_[6662] = 0 - vX_[6675];
+ vX_[3359] = (vX_[3744] * vX_[682] + vX_[6683] * vX_[730] + vX_[6662] * vX_[509]) * 1 / vX_[618];
+ vX_[6503] = vX_[3748] * vX_[41] + vX_[6620] * vX_[722] + vX_[6503] * vX_[737];
+ vX_[6620] = 0 - vX_[6503];
+ vX_[3358] = vX_[3749] * vX_[41] + vX_[6639] * vX_[722] + vX_[3358] * vX_[737];
+ vX_[6639] = 0 - vX_[3358];
+ vX_[3749] = 0 - vX_[3750] * vX_[41] - vX_[3348] * vX_[722] - vX_[6675] * vX_[737];
+ vX_[3748] = 0 - vX_[3749];
+ vX_[6666] = (vX_[6620] * vX_[682] + vX_[6639] * vX_[730] + vX_[3748] * vX_[509]) * 1 / vX_[618];
+ vX_[3646] = 0 - vX_[3752] * vX_[801] - vX_[7523] * vX_[604] - vX_[3359] * vX_[731] - vX_[6666] * vX_[664];
+ vX_[3638] = 0 - vX_[6607];
+ vX_[3622] = 0 - vX_[6603];
+ vX_[3602] = 0 - vX_[3348];
+ vX_[5805] = 0 - vX_[7523];
+ vX_[5800] = 0 - vX_[6607];
+ vX_[5795] = 0 - vX_[6603];
+ vX_[5645] = 0 - vX_[3348];
+ vX_[5804] = 0 - vX_[7523];
+ vX_[5796] =
+ (vX_[5800] * vX_[662] + vX_[5795] * vX_[633] + vX_[5645] * vX_[691] + vX_[5804] * vX_[667]) * 1 / vX_[616];
+ vX_[5787] = 0 - vX_[5796];
+ vX_[5777] = (vX_[3638] * vX_[510] + vX_[3622] * vX_[518] + vX_[3602] * vX_[690] + vX_[5805] * vX_[628] +
+ vX_[5787] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5788] = 0 - vX_[6589];
+ vX_[5785] = 0 - vX_[3357];
+ vX_[5781] = 0 - vX_[6675];
+ vX_[5771] = 0 - vX_[3359];
+ vX_[5784] = 0 - vX_[6589];
+ vX_[5779] = 0 - vX_[3357];
+ vX_[5774] = 0 - vX_[6675];
+ vX_[5572] = 0 - vX_[3359];
+ vX_[5783] =
+ (vX_[5784] * vX_[662] + vX_[5779] * vX_[633] + vX_[5774] * vX_[691] + vX_[5572] * vX_[667]) * 1 / vX_[616];
+ vX_[5775] = 0 - vX_[5783];
+ vX_[5766] = (vX_[5788] * vX_[510] + vX_[5785] * vX_[518] + vX_[5781] * vX_[690] + vX_[5771] * vX_[628] +
+ vX_[5775] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5756] = 0 - vX_[6503];
+ vX_[5767] = 0 - vX_[3358];
+ vX_[5764] = 0 - vX_[3749];
+ vX_[5760] = 0 - vX_[6666];
+ vX_[5747] = 0 - vX_[6503];
+ vX_[5763] = 0 - vX_[3358];
+ vX_[5758] = 0 - vX_[3749];
+ vX_[5753] = 0 - vX_[6666];
+ vX_[5499] =
+ (vX_[5747] * vX_[662] + vX_[5763] * vX_[633] + vX_[5758] * vX_[691] + vX_[5753] * vX_[667]) * 1 / vX_[616];
+ vX_[5762] = 0 - vX_[5499];
+ vX_[5754] = (vX_[5756] * vX_[510] + vX_[5767] * vX_[518] + vX_[5764] * vX_[690] + vX_[5760] * vX_[628] +
+ vX_[5762] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6620] = vX_[3746] * vX_[801] + vX_[6591] * vX_[604] + vX_[3744] * vX_[731] + vX_[6620] * vX_[664];
+ vX_[3744] = 0 - vX_[6620];
+ vX_[6639] = vX_[3747] * vX_[801] + vX_[6608] * vX_[604] + vX_[6683] * vX_[731] + vX_[6639] * vX_[664];
+ vX_[6683] = 0 - vX_[6639];
+ vX_[3748] = vX_[3751] * vX_[801] + vX_[6629] * vX_[604] + vX_[6662] * vX_[731] + vX_[3748] * vX_[664];
+ vX_[6662] = 0 - vX_[3748];
+ vX_[6629] = 0 - vX_[3646];
+ vX_[3751] = 0 - vX_[6620];
+ vX_[6608] = 0 - vX_[6639];
+ vX_[3747] = 0 - vX_[3748];
+ vX_[6591] = 0 - vX_[3646];
+ vX_[3746] =
+ (vX_[3751] * vX_[662] + vX_[6608] * vX_[633] + vX_[3747] * vX_[691] + vX_[6591] * vX_[667]) * 1 / vX_[616];
+ vX_[5750] = 0 - vX_[3746];
+ vX_[5745] = (vX_[3744] * vX_[510] + vX_[6683] * vX_[518] + vX_[6662] * vX_[690] + vX_[6629] * vX_[628] +
+ vX_[5750] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[3751] = vX_[3753] * vX_[1083] + vX_[5800] * vX_[602] + vX_[5784] * vX_[725] + vX_[5747] * vX_[666] +
+ vX_[3751] * vX_[668];
+ vX_[5747] = 0 - vX_[3751];
+ vX_[6608] = vX_[3754] * vX_[1083] + vX_[5795] * vX_[602] + vX_[5779] * vX_[725] + vX_[5763] * vX_[666] +
+ vX_[6608] * vX_[668];
+ vX_[5763] = 0 - vX_[6608];
+ vX_[3747] = vX_[3755] * vX_[1083] + vX_[5645] * vX_[602] + vX_[5774] * vX_[725] + vX_[5758] * vX_[666] +
+ vX_[3747] * vX_[668];
+ vX_[5758] = 0 - vX_[3747];
+ vX_[6591] = vX_[3756] * vX_[1083] + vX_[5804] * vX_[602] + vX_[5572] * vX_[725] + vX_[5753] * vX_[666] +
+ vX_[6591] * vX_[668];
+ vX_[5753] = 0 - vX_[6591];
+ vX_[5572] = 0 - vX_[3757] * vX_[1083] - vX_[5796] * vX_[602] - vX_[5783] * vX_[725] - vX_[5499] * vX_[666] -
+ vX_[3746] * vX_[668];
+ vX_[5804] = 0 - vX_[5572];
+ vX_[3756] = (vX_[5747] * vX_[510] + vX_[5763] * vX_[518] + vX_[5758] * vX_[690] + vX_[5753] * vX_[628] +
+ vX_[5804] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5774] = 0 - vX_[3763] * vX_[1426] - vX_[5777] * vX_[620] - vX_[5766] * vX_[723] - vX_[5754] * vX_[590] -
+ vX_[5745] * vX_[624] - vX_[3756] * vX_[637];
+ vX_[5645] = vX_[3646] - vX_[5774];
+ vX_[3755] = vX_[3746] + vX_[6591];
+ vX_[5779] = vX_[5645] * vX_[487] + vX_[3755] * vX_[485];
+ vX_[5795] = vX_[5572] - vX_[5774];
+ vX_[3754] = vX_[5795] * vX_[487];
+ vX_[5784] = vX_[5645] * vX_[473] + vX_[3755] * vX_[487];
+ vX_[5800] = vX_[5795] * vX_[485];
+ vX_[3753] = vX_[5784] + vX_[5800];
+ vX_[5731] = vX_[5779] * vX_[473] + vX_[3754] * vX_[485] + vX_[3753] * vX_[487];
+ vX_[5733] = 0 - vX_[5731];
+ vX_[5749] = vX_[5774] + vX_[5784] * vX_[473] + vX_[3754] * vX_[487];
+ vX_[5732] = 0 - vX_[5749];
+ vX_[5677] = vX_[5774] + vX_[5779] * vX_[487] + vX_[5800] * vX_[485];
+ vX_[5763] = vX_[3759] * vX_[1426] + vX_[3622] * vX_[620] + vX_[5785] * vX_[723] + vX_[5767] * vX_[590] +
+ vX_[6683] * vX_[624] + vX_[5763] * vX_[637];
+ vX_[6683] = vX_[5766] + vX_[5763];
+ vX_[5767] = vX_[5499] + vX_[3747] - vX_[6683];
+ vX_[5747] = vX_[3758] * vX_[1426] + vX_[3638] * vX_[620] + vX_[5788] * vX_[723] + vX_[5756] * vX_[590] +
+ vX_[3744] * vX_[624] + vX_[5747] * vX_[637];
+ vX_[3744] = vX_[5777] + vX_[5747];
+ vX_[5756] = 0 - (vX_[6666] + vX_[3748]) + vX_[3744];
+ vX_[5788] = (vX_[3744] * vX_[473] + vX_[6683] * vX_[487]) * -1;
+ vX_[3638] = 0 - (vX_[5767] * vX_[487] + vX_[5756] * vX_[485]) + vX_[5788];
+ vX_[3758] = vX_[3638] + vX_[5749] * vX_[474];
+ vX_[5785] = 0 - vX_[3758];
+ vX_[3622] = (vX_[3744] * vX_[487] + vX_[6683] * vX_[485]) * -1;
+ vX_[3759] = vX_[5767] * vX_[473] + vX_[5756] * vX_[487] + vX_[3622];
+ vX_[5672] = 0 - vX_[5677];
+ vX_[5658] = vX_[3759] + vX_[5731] * vX_[474] + vX_[5672] * vX_[393];
+ vX_[5660] = vX_[3359] + vX_[6639];
+ vX_[5676] = vX_[7523] + vX_[6620];
+ vX_[5659] = vX_[5660] * vX_[485] + vX_[5676] * vX_[487];
+ vX_[5604] = vX_[5796] + vX_[3751];
+ vX_[5599] = vX_[5783] + vX_[6608];
+ vX_[5585] = vX_[5604] * vX_[487] + vX_[5599] * vX_[485];
+ vX_[5587] = vX_[5659] * vX_[473] + vX_[5585] * vX_[487];
+ vX_[5804] = vX_[3762] * vX_[1426] + vX_[5787] * vX_[620] + vX_[5775] * vX_[723] + vX_[5762] * vX_[590] +
+ vX_[5750] * vX_[624] + vX_[5804] * vX_[637];
+ vX_[5750] = vX_[3756] + vX_[5804];
+ vX_[5753] = vX_[3761] * vX_[1426] + vX_[5805] * vX_[620] + vX_[5771] * vX_[723] + vX_[5760] * vX_[590] +
+ vX_[6629] * vX_[624] + vX_[5753] * vX_[637];
+ vX_[6629] = vX_[5745] + vX_[5753];
+ vX_[5760] = 0 - vX_[6629];
+ vX_[5771] = vX_[5750] * vX_[487] + vX_[5760] * vX_[485];
+ vX_[5805] = 0 - vX_[5771];
+ vX_[3761] = vX_[5587] + vX_[5805] * vX_[393] + vX_[5732] * vX_[489];
+ vX_[5762] = 0 - vX_[3761];
+ vX_[5775] = vX_[5660] * vX_[487] + vX_[5676] * vX_[473];
+ vX_[5787] = vX_[5604] * vX_[473] + vX_[5599] * vX_[487];
+ vX_[3762] = vX_[5775] * vX_[487] + vX_[5787] * vX_[485];
+ vX_[6629] = 0 - vX_[6629];
+ vX_[5603] = vX_[5750] * vX_[473] + vX_[6629] * vX_[487];
+ vX_[5586] = 0 - vX_[5603];
+ vX_[5531] = vX_[3762] + vX_[5586] * vX_[474] + vX_[5677] * vX_[489];
+ vX_[5526] = vX_[5775] * vX_[473] + vX_[5787] * vX_[487];
+ vX_[5512] = vX_[5526] + vX_[5771] * vX_[474];
+ vX_[5514] = vX_[5659] * vX_[487] + vX_[5585] * vX_[485];
+ vX_[5530] = vX_[5514] + vX_[5603] * vX_[393] + vX_[5733] * vX_[489];
+ vX_[5513] = 0 - vX_[5512] + vX_[5530];
+ vX_[5410] = 0 - vX_[5731];
+ vX_[5400] = 0 - vX_[5749];
+ vX_[5732] = vX_[5733] * vX_[611] + vX_[5732] * vX_[556] + vX_[5677] * vX_[452] + vX_[5785] * vX_[490] +
+ vX_[5658] * vX_[501] + vX_[5762] * vX_[481] + vX_[5531] * vX_[475] + vX_[5513] * vX_[472] +
+ vX_[5410] * vX_[608] + vX_[5731] * vX_[605] + vX_[5400] * vX_[555] + vX_[5677] * vX_[559];
+ vX_[5733] = 0 - vX_[3617];
+ vX_[5411] = vX_[3997] * 0.881 + (0 - vX_[4014]) * 0.1104774 + vX_[4016] * 0.0004405;
+ vX_[5408] = vX_[4008] * 0.00185880198235362 + vX_[4010] * 0.880992588508842 + vX_[4014] * -8.81e-05;
+ vX_[5404] = vX_[5733] * vX_[1305] + vX_[5411] * vX_[46] + vX_[5408] * x_in[26];
+ vX_[6238] = 0 - vX_[3649] + vX_[6235] - vX_[6238];
+ vX_[6235] = 0 - vX_[5411];
+ vX_[3649] = vX_[4008] * 0.414812462825713 + vX_[4010] * 0.00185880198235362 + vX_[4016] * 8.81e-05;
+ vX_[5394] = vX_[6238] * vX_[1305] + vX_[6235] * vX_[42] - vX_[3649] * x_in[26];
+ vX_[5407] = 0 - vX_[6254];
+ vX_[5402] = vX_[3995] * 3.146 + (0 - vX_[3996]) * 0.47422804 + vX_[4006] * -0.0825825;
+ vX_[5397] = vX_[3999] * vX_[449] + vX_[4000] * vX_[448] + vX_[3996] * vX_[425] + vX_[4006] * vX_[420];
+ vX_[5299] = vX_[5404] * vX_[395] + vX_[5394] * vX_[397] + vX_[5407] * vX_[1233] + vX_[5402] * vX_[15] +
+ vX_[5397] * x_in[25];
+ vX_[6516] = 0 - vX_[6611] + vX_[6516];
+ vX_[6611] = 0 - vX_[5402];
+ vX_[5406] = vX_[3999] * vX_[447] + vX_[4000] * vX_[449] + vX_[3996] * vX_[431] + vX_[4006] * vX_[430];
+ vX_[5398] = vX_[5404] * vX_[1690] + vX_[5394] * vX_[395] + vX_[6516] * vX_[1233] + vX_[6611] * vX_[43] -
+ vX_[5406] * x_in[25];
+ vX_[5389] = vX_[3954] * -3.44;
+ vX_[5379] = vX_[3978] * 0.1466472;
+ vX_[5390] = vX_[3993] * 0.5824264;
+ vX_[5387] = 0 - vX_[5389] + vX_[5379] - vX_[5390];
+ vX_[5383] = 0 - vX_[6637];
+ vX_[5373] = vX_[3982] * vX_[501] + vX_[3954] * vX_[475] + vX_[3988] * vX_[472] + vX_[3991] * vX_[605] +
+ vX_[3993] * vX_[553];
+ vX_[5386] = vX_[5299] * vX_[1686] + vX_[5398] * vX_[421] + vX_[5387] * vX_[10] + vX_[5383] * vX_[1882] -
+ vX_[5373] * x_in[24];
+ vX_[5381] = vX_[3646] + vX_[5572] + vX_[5774] - vX_[5749] - vX_[5677];
+ vX_[5376] = 0 - vX_[5381];
+ vX_[5788] = vX_[5788] + vX_[5376] * vX_[474];
+ vX_[3622] = vX_[3622] + vX_[5381] * vX_[393];
+ vX_[5226] = 0 - vX_[5658];
+ vX_[5385] = 0 - vX_[5531];
+ vX_[5758] = vX_[3760] * vX_[1426] + vX_[3602] * vX_[620] + vX_[5781] * vX_[723] + vX_[5764] * vX_[590] +
+ vX_[6662] * vX_[624] + vX_[5758] * vX_[637];
+ vX_[6662] = vX_[5754] + vX_[5758] + vX_[5676] + vX_[5599] - vX_[5526] - vX_[5514];
+ vX_[5530] = vX_[6662] - vX_[5530];
+ vX_[5764] = 0 - vX_[5771];
+ vX_[5781] = 0 - vX_[5731];
+ vX_[3602] = 0 - vX_[5677];
+ vX_[3760] = vX_[6607] - vX_[3749];
+ vX_[5377] = vX_[3357] - vX_[3749];
+ vX_[5368] = vX_[6603] + vX_[6589];
+ vX_[5358] = vX_[6675] + vX_[3358];
+ vX_[5369] = vX_[3348] + vX_[6503];
+ vX_[5366] = 0 - vX_[5369];
+ vX_[5362] = vX_[3760] * vX_[487] + vX_[5368] * vX_[485];
+ vX_[5352] = vX_[5377] * vX_[487];
+ vX_[5365] = vX_[3760] * vX_[473] + vX_[5368] * vX_[487];
+ vX_[5360] = vX_[5377] * vX_[485];
+ vX_[5355] = vX_[5365] + vX_[5360];
+ vX_[5153] = vX_[3997] * 0.0004405 + vX_[4008] * -8.81e-05 + vX_[4016] * -0.000227999999999999;
+ vX_[5364] = vX_[3997] * 0.1104774 + vX_[4010] * -8.81e-05 + (0 - vX_[4014]) * 0.025713;
+ vX_[5356] = (0 - vX_[4008]) * 0.0004405;
+ vX_[5347] = (0 - vX_[4010]) * 0.1104774;
+ vX_[5337] = vX_[5356] + vX_[5347];
+ vX_[5337] = vX_[5733] * vX_[1931] + vX_[6238] * vX_[1617] + vX_[5153] * vX_[42] + vX_[5364] * vX_[46] +
+ vX_[5337] * vX_[1305] + vX_[5337] * vX_[1305];
+ vX_[6238] = vX_[3995] * -0.0825825 + (0 - vX_[4001]) * 0.000102 + vX_[3996] * 0.007418 + vX_[4006] * 0.002735;
+ vX_[5733] = vX_[3995] * 0.47422804 + vX_[4001] * 2.1e-05 + (0 - vX_[3996]) * 0.084376 + (0 - vX_[4006]) * 0.007418;
+ vX_[5348] = (0 - vX_[3999]) * -0.0825825;
+ vX_[5345] = (0 - vX_[4000]) * 0.47422804;
+ vX_[5341] = vX_[3996] * 0.000102;
+ vX_[5328] = (0 - vX_[4006]) * 2.1e-05;
+ vX_[5344] = vX_[5348] + vX_[5345] + vX_[5341] + vX_[5328];
+ vX_[5344] = vX_[5337] + vX_[5404] * vX_[1698] + vX_[5394] * vX_[400] + vX_[5407] * vX_[1145] +
+ vX_[6516] * vX_[916] + vX_[6238] * vX_[43] + vX_[5733] * vX_[15] + vX_[5344] * vX_[1233] +
+ vX_[5344] * vX_[1233];
+ vX_[6516] = vX_[3954] * 0.5824264 + (0 - vX_[3978]) * -0.022734 + vX_[3991] * -3.6e-05 + vX_[3993] * -0.133138;
+ vX_[5407] = vX_[3954] * 0.1466472 + vX_[3978] * 0.009466 + (0 - vX_[3991]) * -5.1e-05 + vX_[3993] * -0.022734;
+ vX_[5339] = (0 - vX_[3982]) * 0.5824264;
+ vX_[5334] = (0 - vX_[3988]) * 0.1466472;
+ vX_[5080] = (0 - vX_[3978]) * -3.6e-05;
+ vX_[5343] = (0 - vX_[3993]) * -5.1e-05;
+ vX_[5335] = vX_[5339] + vX_[5334] + vX_[5080] - vX_[5343];
+ vX_[5331] = vX_[3982] * vX_[506] + vX_[3954] * vX_[553] + vX_[3988] * vX_[608] + vX_[3991] * vX_[607] +
+ vX_[3993] * vX_[469];
+ vX_[5335] = vX_[5299] * vX_[1687] + vX_[5398] * vX_[439] + vX_[5344] * -1 + vX_[6646] * vX_[5] +
+ vX_[5383] * vX_[1543] + vX_[6516] * vX_[10] + vX_[5407] * vX_[2916] + vX_[5335] * vX_[1882] +
+ vX_[5335] * vX_[1882] + vX_[5331] * x_in[24];
+ vX_[4012] = vX_[4008] * 0.1104774 + vX_[4010] * 0.0004405 + vX_[4012] * 0.025941;
+ vX_[5383] = (0 - vX_[3997]) * -8.81e-05;
+ vX_[5347] = vX_[5383] + vX_[5347];
+ vX_[4016] = vX_[3997] * 0.0004405 + vX_[4008] * 8.81e-05 + vX_[4016] * 0.000468;
+ vX_[5347] = vX_[3617] * vX_[4114] + vX_[6235] * vX_[1617] + vX_[5153] * vX_[1305] + vX_[4012] * vX_[46] +
+ vX_[5347] * vX_[42] + vX_[5347] * vX_[42] + vX_[4016] * x_in[26];
+ vX_[5383] = vX_[5383] + vX_[5356];
+ vX_[4014] = vX_[3997] * -0.1104774 + vX_[4010] * -8.81e-05 + vX_[4014] * 0.026409;
+ vX_[5383] = vX_[3364] * vX_[4114] + vX_[5411] * vX_[1931] + vX_[5364] * vX_[1305] + vX_[4012] * vX_[42] +
+ vX_[5383] * vX_[46] + vX_[5383] * vX_[46] - vX_[4014] * x_in[26];
+ vX_[4012] = vX_[3999] * 0.47422804 + vX_[4000] * -0.0825825 + vX_[4001] * 0.081641 + (0 - vX_[3996]) * 2.1e-05 +
+ vX_[4006] * 0.000102;
+ vX_[5364] = (0 - vX_[4001]) * 0.007418;
+ vX_[5328] = vX_[5345] + vX_[5364] - vX_[5328];
+ vX_[5345] = vX_[3995] * vX_[415] + vX_[3999] * vX_[430] + vX_[4000] * vX_[420] + vX_[3996] * vX_[464] +
+ vX_[4006] * vX_[460];
+ vX_[5328] = vX_[6246] * -0.35 + vX_[5347] * vX_[395] + vX_[5383] * vX_[397] + vX_[6254] * vX_[4117] +
+ vX_[6611] * vX_[916] + vX_[6238] * vX_[1233] + vX_[4012] * vX_[15] + vX_[5328] * vX_[43] +
+ vX_[5328] * vX_[43] + vX_[5345] * x_in[25];
+ vX_[5364] = vX_[5348] - vX_[5364] - vX_[5341];
+ vX_[5341] = vX_[3995] * vX_[427] + vX_[3999] * vX_[431] + vX_[4000] * vX_[425] + vX_[3996] * vX_[458] +
+ vX_[4006] * vX_[464];
+ vX_[5364] = vX_[5347] * vX_[398] + vX_[5383] * vX_[395] + vX_[7499] * vX_[4117] + vX_[5402] * vX_[1145] +
+ vX_[5733] * vX_[1233] + vX_[4012] * vX_[43] + vX_[5364] * vX_[15] + vX_[5364] * vX_[15] -
+ vX_[5341] * x_in[25];
+ vX_[5390] = vX_[5389] - vX_[5379] + vX_[5390];
+ vX_[5379] = vX_[3982] * 0.1466472 + vX_[3988] * 0.5824264 + vX_[3978] * -5.1e-05 + (0 - vX_[3991]) * -0.123672 +
+ (0 - vX_[3993]) * -3.6e-05;
+ vX_[5389] = vX_[3991] * -0.022734;
+ vX_[5080] = vX_[5339] - vX_[5080] - vX_[5389];
+ vX_[5339] = vX_[3982] * vX_[443] + vX_[3954] * vX_[605] + vX_[3988] * vX_[554] + vX_[3991] * vX_[552] +
+ vX_[3993] * vX_[607];
+ vX_[5080] = vX_[5328] * vX_[433] + vX_[5364] * vX_[421] + vX_[5390] * vX_[5] + vX_[6637] * vX_[4129] +
+ vX_[5379] * vX_[10] + vX_[5407] * vX_[1882] + vX_[5080] * vX_[2916] + vX_[5080] * vX_[2916] -
+ vX_[5339] * x_in[24];
+ vX_[4043] = vX_[4043] * vX_[2082];
+ vX_[5407] = vX_[4043] * vX_[395];
+ vX_[4044] = vX_[4044] * vX_[2082];
+ vX_[6637] = vX_[4044] * vX_[1702];
+ vX_[4045] = vX_[4045] * vX_[2082];
+ vX_[4012] = 0 - vX_[4045];
+ vX_[4015] = vX_[4015] * vX_[2077];
+ vX_[5733] = vX_[4015] * vX_[395];
+ vX_[5402] = vX_[4015] * vX_[1702];
+ vX_[7499] = 0 - vX_[5402];
+ vX_[4031] = vX_[4031] * vX_[2089];
+ vX_[5348] = vX_[4031] * vX_[1702];
+ vX_[4019] = vX_[4019] * vX_[1911];
+ vX_[6238] = vX_[4019] * vX_[395];
+ vX_[4017] = vX_[4017] * vX_[2077];
+ vX_[6611] = vX_[4017] * vX_[395];
+ vX_[6254] = vX_[4017] * vX_[1702];
+ vX_[6246] = vX_[4031] * vX_[395];
+ vX_[4032] = vX_[4032] * vX_[2089];
+ vX_[5411] = 0 - vX_[4032];
+ vX_[3364] = vX_[5411] * vX_[395];
+ vX_[4010] = vX_[4032] * vX_[1702];
+ vX_[3997] = vX_[4043] + vX_[4019];
+ vX_[4020] = vX_[4020] * vX_[1911];
+ vX_[5356] = 0 - vX_[4044] - vX_[4020];
+ vX_[5153] = vX_[3997] * vX_[1702] + vX_[5356] * vX_[395];
+ vX_[6235] = vX_[4020] * vX_[1702];
+ vX_[4037] = vX_[4037] * vX_[2089] + vX_[4025] * vX_[2077];
+ vX_[4025] = 0 - vX_[4037];
+ vX_[3617] = 0 - vX_[4037];
+ vX_[4008] = vX_[3617] * vX_[395];
+ vX_[5326] = vX_[4037] * vX_[1702];
+ vX_[5312] = vX_[4038] * vX_[1830] + vX_[4120] * vX_[1782] + vX_[4123] * vX_[1814];
+ vX_[5314] = 0 - vX_[5312];
+ vX_[5330] = vX_[4038] * vX_[1920] + vX_[4120] * vX_[1815] + vX_[4123] * vX_[1776];
+ vX_[5313] = vX_[5314] * x_in[18] + vX_[5330] * x_in[19];
+ vX_[5258] = 0 - vX_[5313];
+ vX_[5253] = 0 - vX_[5313];
+ vX_[5239] = vX_[5253] * vX_[395];
+ vX_[5241] = vX_[5313] * vX_[1702];
+ vX_[4038] = vX_[4038] * vX_[1812] + vX_[4120] * vX_[1831] + vX_[4123] * vX_[1921];
+ jac[923] = vX_[5406] * vX_[1708] + vX_[5397] * vX_[1145] + vX_[5341] * vX_[2090] + vX_[5345] * vX_[43] + vX_[5344] +
+ vX_[4038] * vX_[1835] + vX_[5312] * vX_[1788] + vX_[5330] * vX_[1821];
+ jac[959] = vX_[3649] * vX_[1739] + vX_[5408] * vX_[1931] + vX_[4014] * vX_[6] + vX_[4016] * vX_[42] + vX_[5337] +
+ vX_[4038] * vX_[1845] + vX_[5312] * vX_[1799] + vX_[5330] * vX_[1818];
+ vX_[4014] = vX_[4038] * x_in[26];
+ vX_[4016] = vX_[4014] * vX_[395];
+ vX_[5337] = vX_[4014] * vX_[1702];
+ vX_[3649] = vX_[4038] * x_in[25];
+ vX_[5408] = vX_[5312] * x_in[24];
+ vX_[5341] = 0 - vX_[5408];
+ vX_[5345] = vX_[3649] * vX_[395];
+ vX_[5344] = 0 - vX_[5408];
+ vX_[5406] = vX_[5344] * vX_[395];
+ vX_[5397] = vX_[3649] * vX_[1702];
+ vX_[4123] = vX_[5408] * vX_[1702];
+ vX_[4120] = vX_[4049] * vX_[1876];
+ vX_[5257] = 0 - vX_[4120];
+ vX_[5240] = 0 - vX_[4120];
+ vX_[5185] = vX_[5240] * vX_[395];
+ vX_[5180] = vX_[4120] * vX_[1702];
+ vX_[5166] = 0 - vX_[5788];
+ vX_[5168] = 0 - vX_[3622];
+ vX_[6662] = 0 - vX_[6662] + vX_[5512];
+ vX_[5512] = 0 - vX_[5603];
+ vX_[5369] = 0 - vX_[5369];
+ vX_[4009] = vX_[4009] * vX_[2077];
+ vX_[5184] = vX_[4009] * vX_[1702];
+ vX_[4011] = vX_[4011] * vX_[2077];
+ vX_[5167] = 0 - vX_[4011];
+ vX_[5112] = vX_[5167] * vX_[395];
+ vX_[4013] = vX_[4013] * vX_[2077];
+ vX_[5107] = 0 - vX_[4013];
+ vX_[4030] = vX_[4030] * vX_[2089];
+ vX_[4046] = vX_[4046] * vX_[2082];
+ vX_[5093] = vX_[4046] * vX_[395];
+ vX_[5095] = vX_[4046] * vX_[1702];
+ vX_[4035] = vX_[4035] * vX_[2079];
+ vX_[5111] = vX_[4035] * vX_[1702];
+ vX_[4047] = vX_[4047] * vX_[2082];
+ vX_[5094] = vX_[4047] * vX_[395];
+ vX_[4981] = 0 - vX_[5094];
+ vX_[4971] = vX_[4047] * vX_[1702];
+ vX_[4036] = vX_[4036] * vX_[2079];
+ vX_[4982] = 0 - vX_[4036];
+ vX_[4979] = vX_[4982] * vX_[395];
+ vX_[4975] = vX_[4009] + vX_[4035];
+ vX_[4036] = vX_[4011] + vX_[4036];
+ vX_[4011] = vX_[4975] * vX_[395] + vX_[4036] * vX_[1702];
+ vX_[4033] = vX_[4033] * vX_[2089] + vX_[4024] * vX_[2082];
+ vX_[4024] = 0 - vX_[4033];
+ vX_[4965] = 0 - vX_[4033];
+ vX_[4978] = vX_[4965] * vX_[395];
+ vX_[4973] = vX_[4033] * vX_[1702];
+ vX_[4968] = 0 - vX_[5330];
+ vX_[4870] = vX_[4038] * x_in[18] + vX_[4968] * x_in[20];
+ vX_[4977] = 0 - vX_[4870];
+ vX_[4969] = vX_[4870] * vX_[1702];
+ vX_[4960] = vX_[4038] * x_in[24];
+ vX_[4950] = vX_[4960] * vX_[1702];
+ vX_[4961] = vX_[5312] * x_in[26];
+ vX_[4958] = vX_[4961] * vX_[395];
+ vX_[4954] = vX_[4961] * vX_[1702];
+ vX_[4944] = vX_[5312] * x_in[25];
+ vX_[4957] = vX_[4960] * vX_[395];
+ vX_[4952] = vX_[4944] * vX_[395];
+ vX_[4947] = vX_[4944] * vX_[1702];
+ vX_[4797] = vX_[4049] * vX_[1866];
+ vX_[4956] = 0 - vX_[4797];
+ vX_[4948] = 0 - vX_[4870];
+ vX_[4939] = 0 - vX_[4797];
+ vX_[4929] = vX_[4948] * vX_[395] + vX_[4939] * vX_[395];
+ vX_[4940] = vX_[4797] * vX_[1702];
+ jac[239] =
+ 0 -
+ (0 - (vX_[3745] * vX_[4135] + vX_[6590] * x_in[22]) +
+ (vX_[3752] * vX_[4135] + vX_[5732] * vX_[487] + vX_[6590] * x_in[20]) * -0.3735 -
+ (vX_[2917] * vX_[3739] + vX_[5386] * x_in[23]) + (vX_[3757] * vX_[3739] + vX_[5386] * x_in[19]) * 0.3735 +
+ (vX_[3763] * vX_[3739] +
+ (vX_[5805] * vX_[556] + vX_[5603] * vX_[611] + vX_[5381] * vX_[500] + vX_[5672] * vX_[502] +
+ vX_[5788] * vX_[472] + vX_[3622] * vX_[481] + vX_[5226] * vX_[484] + vX_[5385] * vX_[501] +
+ vX_[5530] * vX_[490] + vX_[5764] * vX_[554] + vX_[5603] * vX_[608] + vX_[5781] * vX_[443] +
+ vX_[3602] * vX_[561]) *
+ -1 +
+ vX_[5386] * x_in[18]) *
+ -0.207 -
+ (vX_[3752] * vX_[1456] + vX_[3757] * vX_[1893] + vX_[3760] * vX_[719] + vX_[5377] * vX_[717] +
+ vX_[5368] * vX_[715] + vX_[5358] * vX_[688] + vX_[5366] * vX_[490] + vX_[5362] * vX_[696] +
+ vX_[5352] * vX_[695] + vX_[5355] * vX_[472] + vX_[5660] * vX_[680] + vX_[5604] * vX_[658] +
+ vX_[3744] * vX_[508] + vX_[6683] * vX_[498] + vX_[5676] * vX_[681] + vX_[5599] * vX_[661] +
+ vX_[5775] * vX_[659] + vX_[5659] * vX_[610] + vX_[5787] * vX_[660] + vX_[5585] * vX_[657] +
+ vX_[5767] * vX_[497] + vX_[5756] * vX_[507] + vX_[5645] * vX_[617] + vX_[5795] * vX_[615] +
+ vX_[3755] * vX_[613] + vX_[5750] * vX_[634] + vX_[6629] * vX_[635] + vX_[5779] * vX_[562] +
+ vX_[3754] * vX_[558] + vX_[3753] * vX_[612] + vX_[5732] * vX_[488] + vX_[5335] * x_in[19] +
+ vX_[5080] * x_in[20]) +
+ vX_[3998] * vX_[2077] + vX_[4034] * vX_[2079] + vX_[5407] * vX_[394] + vX_[6637] * vX_[394] +
+ vX_[4012] * vX_[394] * 0.35 + vX_[4045] * 0.3735 + vX_[5733] * 0.35 + vX_[5733] * vX_[421] * 0.08 +
+ vX_[5733] * vX_[394] * -0.3735 + vX_[7499] * vX_[421] * 0.3735 + vX_[5402] * vX_[394] * -0.08 +
+ vX_[5348] * vX_[421] * 0.207 + vX_[6238] * vX_[394] + vX_[6611] * vX_[421] * 0.3735 +
+ vX_[6611] * vX_[394] * 0.08 + vX_[6254] * 0.35 + vX_[6254] * vX_[394] * -0.3735 +
+ (vX_[6246] * vX_[394] + vX_[3364] * vX_[421]) * 0.207 + vX_[4010] * vX_[394] * 0.207 +
+ vX_[5153] * vX_[421] + vX_[6235] * vX_[394] + (vX_[6254] * vX_[421] - vX_[4037]) * 0.08 +
+ vX_[4025] * vX_[421] * 0.35 + vX_[4008] * vX_[421] * 0.33 + vX_[5326] * vX_[394] * 0.33 +
+ (0 - vX_[5313]) * 0.08 + vX_[5258] * vX_[421] * 0.35 + vX_[5239] * vX_[421] * 0.33 +
+ vX_[5241] * vX_[394] * 0.33 + vX_[4016] * vX_[394] * 0.33 + vX_[5337] * vX_[421] * 0.33 +
+ vX_[3649] * vX_[394] * 0.35 + (0 - vX_[5408]) * 0.08 + vX_[5341] * vX_[421] * 0.35 +
+ (vX_[5345] * vX_[394] + vX_[5406] * vX_[421]) * 0.33 +
+ (vX_[5397] * vX_[421] + vX_[4123] * vX_[394]) * 0.33 + (0 - vX_[4120]) * 0.08 +
+ vX_[5257] * vX_[421] * 0.35 + vX_[5185] * vX_[421] * 0.33 + vX_[5180] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[2917] * vX_[4135] + vX_[3752] * vX_[1893] + vX_[3760] * vX_[715] + vX_[5358] * vX_[490] +
+ vX_[5365] * vX_[695] + vX_[5362] * vX_[472] + vX_[5604] * vX_[661] + vX_[3744] * vX_[498] +
+ vX_[5676] * vX_[680] + vX_[5775] * vX_[660] + vX_[5659] * vX_[657] + vX_[5767] * vX_[507] +
+ vX_[5645] * vX_[613] + vX_[5750] * vX_[635] + vX_[5784] * vX_[558] + vX_[5779] * vX_[612] +
+ (vX_[5771] * vX_[609] + vX_[5586] * vX_[452] + vX_[5731] * vX_[502] + vX_[5376] * vX_[476] +
+ vX_[5749] * vX_[491] + vX_[5166] * vX_[475] + vX_[3758] * vX_[484] + vX_[5168] * vX_[472] +
+ vX_[3761] * vX_[490] + vX_[6662] * vX_[501] + vX_[5771] * vX_[605] + vX_[5512] * vX_[553] +
+ vX_[5731] * vX_[506] + vX_[5749] * vX_[550]) *
+ 0.207 +
+ vX_[6590] * x_in[23] + vX_[5335] * x_in[20] +
+ (vX_[3757] * vX_[4135] + vX_[5732] * vX_[485] + vX_[6590] * x_in[19]) * -0.3735 +
+ (vX_[3763] * vX_[4135] + vX_[6590] * x_in[18]) * 0.207 - (vX_[3745] * vX_[3739] + vX_[5386] * x_in[22]) +
+ (vX_[3752] * vX_[3739] + vX_[5386] * x_in[20]) * -0.3735 -
+ (vX_[3757] * vX_[1456] + vX_[5377] * vX_[716] + vX_[5368] * vX_[719] + vX_[5369] * vX_[688] +
+ vX_[5352] * vX_[472] + vX_[5360] * vX_[696] + vX_[5660] * vX_[681] + vX_[6683] * vX_[508] +
+ vX_[5599] * vX_[658] + vX_[5787] * vX_[659] + vX_[5585] * vX_[610] + vX_[5756] * vX_[497] +
+ vX_[5795] * vX_[614] + vX_[3755] * vX_[617] + vX_[5760] * vX_[634] + vX_[3754] * vX_[612] +
+ vX_[5800] * vX_[562] + vX_[5732] * vX_[486] + vX_[5080] * x_in[19]) -
+ vX_[4042] * vX_[2082] + vX_[5184] * vX_[421] + vX_[5112] * vX_[421] + vX_[5107] * vX_[394] * 0.35 +
+ vX_[4013] * 0.3735 + (0 - vX_[4030]) * 0.207 - vX_[4018] * vX_[1911] + (0 - vX_[5093]) * 0.35 +
+ (0 - vX_[5093] * vX_[421]) * 0.08 + vX_[5093] * vX_[394] * 0.3735 + vX_[5095] * vX_[421] * 0.3735 +
+ vX_[5095] * vX_[394] * 0.08 + vX_[5111] * vX_[421] + vX_[4981] * vX_[421] * 0.3735 +
+ (0 - vX_[5094] * vX_[394]) * 0.08 + (0 - vX_[4971]) * 0.35 + (0 - vX_[4971] * vX_[421]) * 0.08 +
+ vX_[4971] * vX_[394] * 0.3735 + vX_[4979] * vX_[421] + vX_[4011] * vX_[394] + (0 - vX_[4033]) * 0.08 +
+ vX_[4024] * vX_[421] * 0.35 + vX_[4978] * vX_[421] * 0.33 + vX_[4973] * vX_[394] * 0.33 +
+ (0 - vX_[4870]) * 0.08 + vX_[4977] * vX_[421] * 0.35 + vX_[4969] * vX_[394] * 0.33 + vX_[4960] * 0.08 +
+ vX_[4960] * vX_[421] * 0.35 + vX_[4950] * vX_[394] * -0.33 + vX_[4958] * vX_[394] * 0.33 +
+ vX_[4954] * vX_[421] * 0.33 + vX_[4944] * vX_[394] * 0.35 +
+ (vX_[4957] * vX_[421] + vX_[4952] * vX_[394]) * 0.33 + vX_[4947] * vX_[421] * 0.33 +
+ (0 - vX_[4797]) * 0.08 + vX_[4956] * vX_[421] * 0.35 + vX_[4929] * vX_[421] * 0.33 +
+ vX_[4940] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[4013] = 0 - vX_[4108];
+ vX_[4045] = vX_[4425] * 0.881 + (0 - vX_[4427]) * 0.0004405 + vX_[4429] * -8.81e-05;
+ vX_[5368] = vX_[4423] * -0.881;
+ vX_[5377] = vX_[4427] * 0.1104774;
+ vX_[3760] = vX_[4431] * -8.81e-05;
+ vX_[5376] = vX_[5368] - vX_[5377] + vX_[3760];
+ vX_[5381] = vX_[4045] * vX_[42] + vX_[5376] * vX_[46];
+ vX_[5732] = vX_[4415] * 3.146 + (0 - vX_[4416]) * -0.0825825;
+ vX_[5586] = vX_[4414] * -3.146;
+ vX_[6629] = vX_[4416] * 0.47422804;
+ vX_[5787] = vX_[5586] - vX_[6629];
+ vX_[5775] = vX_[5381] + vX_[5732] * vX_[43] + vX_[5787] * vX_[15];
+ vX_[5805] = vX_[4403] * 3.44 + vX_[4406] * 0.5824264;
+ vX_[5760] = 0 - vX_[5805];
+ vX_[5750] = vX_[4397] * 3.44 + (0 - vX_[4406]) * 0.1466472;
+ vX_[5585] = vX_[4140] + vX_[4397] * vX_[490] + vX_[4369] * vX_[472] + vX_[4403] * vX_[481] + vX_[4406] * vX_[554] +
+ vX_[4408] * vX_[608];
+ vX_[5599] = vX_[5775] * -1 + vX_[5760] * vX_[10] + vX_[5750] * vX_[2916] + vX_[5585] * x_in[24];
+ vX_[5604] = 0 - vX_[3708];
+ vX_[5659] = 0 - vX_[4162] * vX_[4116];
+ vX_[5676] = 0 - vX_[5659];
+ vX_[5660] = 0 - vX_[5659];
+ vX_[4161] = (vX_[4161] * vX_[4116] + vX_[5660] * vX_[743]) * 1 / vX_[718];
+ vX_[5672] = 0 - vX_[4161];
+ vX_[5756] = 0 - vX_[5659];
+ vX_[3744] = 0 - vX_[4161];
+ vX_[4156] = (vX_[4156] * vX_[4116] + vX_[5756] * vX_[689] + vX_[3744] * vX_[736]) * 1 / vX_[721];
+ vX_[5767] = 0 - vX_[4156];
+ vX_[4153] =
+ (vX_[4153] * vX_[4116] + vX_[5676] * vX_[682] + vX_[5672] * vX_[730] + vX_[5767] * vX_[509]) * 1 / vX_[618];
+ vX_[5660] = vX_[4163] * vX_[1853] + vX_[5660] * vX_[712];
+ vX_[4163] = 0 - vX_[5660];
+ vX_[6683] = 0 - vX_[4160] * vX_[1853] - vX_[4161] * vX_[712];
+ vX_[3753] = 0 - vX_[6683];
+ vX_[5800] = 0 - vX_[5660];
+ vX_[5784] = 0 - vX_[6683];
+ vX_[4159] = (vX_[4159] * vX_[4108] + vX_[5800] * vX_[689] + vX_[5784] * vX_[736]) * 1 / vX_[721];
+ vX_[3754] = 0 - vX_[4159];
+ vX_[4158] =
+ (vX_[4158] * vX_[4108] + vX_[4163] * vX_[682] + vX_[3753] * vX_[730] + vX_[3754] * vX_[509]) * 1 / vX_[618];
+ vX_[5800] = vX_[4166] * vX_[41] + vX_[5756] * vX_[722] + vX_[5800] * vX_[737];
+ vX_[5756] = 0 - vX_[5800];
+ vX_[5784] = vX_[4167] * vX_[41] + vX_[3744] * vX_[722] + vX_[5784] * vX_[737];
+ vX_[3744] = 0 - vX_[5784];
+ vX_[4167] = 0 - vX_[4150] * vX_[41] - vX_[4156] * vX_[722] - vX_[4159] * vX_[737];
+ vX_[4166] = 0 - vX_[4167];
+ vX_[4155] =
+ (vX_[4155] * vX_[1647] + vX_[5756] * vX_[682] + vX_[3744] * vX_[730] + vX_[4166] * vX_[509]) * 1 / vX_[618];
+ vX_[5795] = 0 - vX_[4152] * vX_[801] - vX_[4153] * vX_[604] - vX_[4158] * vX_[731] - vX_[4155] * vX_[664];
+ vX_[5779] = 0 - vX_[5659];
+ vX_[3755] = 0 - vX_[4161];
+ vX_[5645] = 0 - vX_[4156];
+ vX_[4042] = 0 - vX_[4153];
+ vX_[4034] = 0 - vX_[5659];
+ vX_[4018] = 0 - vX_[4161];
+ vX_[3998] = 0 - vX_[4156];
+ vX_[4937] = 0 - vX_[4153];
+ vX_[4148] = (vX_[4148] * vX_[4116] + vX_[4034] * vX_[662] + vX_[4018] * vX_[633] + vX_[3998] * vX_[691] +
+ vX_[4937] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4933] = 0 - vX_[4148];
+ vX_[4923] = (vX_[4142] * vX_[4116] + vX_[5779] * vX_[510] + vX_[3755] * vX_[518] + vX_[5645] * vX_[690] +
+ vX_[4042] * vX_[628] + vX_[4933] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4936] = 0 - vX_[5660];
+ vX_[4931] = 0 - vX_[6683];
+ vX_[4926] = 0 - vX_[4159];
+ vX_[4724] = 0 - vX_[4158];
+ vX_[4935] = 0 - vX_[5660];
+ vX_[4927] = 0 - vX_[6683];
+ vX_[4918] = 0 - vX_[4159];
+ vX_[4908] = 0 - vX_[4158];
+ vX_[4157] = (vX_[4157] * vX_[4108] + vX_[4935] * vX_[662] + vX_[4927] * vX_[633] + vX_[4918] * vX_[691] +
+ vX_[4908] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4919] = 0 - vX_[4157];
+ vX_[4916] = (vX_[4142] * vX_[4108] + vX_[4936] * vX_[510] + vX_[4931] * vX_[518] + vX_[4926] * vX_[690] +
+ vX_[4724] * vX_[628] + vX_[4919] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4912] = 0 - vX_[5800];
+ vX_[4899] = 0 - vX_[5784];
+ vX_[4915] = 0 - vX_[4167];
+ vX_[4910] = 0 - vX_[4155];
+ vX_[4905] = 0 - vX_[5800];
+ vX_[4651] = 0 - vX_[5784];
+ vX_[4914] = 0 - vX_[4167];
+ vX_[4906] = 0 - vX_[4155];
+ vX_[4154] = (vX_[4154] * vX_[1647] + vX_[4905] * vX_[662] + vX_[4651] * vX_[633] + vX_[4914] * vX_[691] +
+ vX_[4906] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4902] = 0 - vX_[4154];
+ vX_[4897] = (vX_[4142] * vX_[1647] + vX_[4912] * vX_[510] + vX_[4899] * vX_[518] + vX_[4915] * vX_[690] +
+ vX_[4910] * vX_[628] + vX_[4902] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5756] = vX_[4164] * vX_[801] + vX_[5676] * vX_[604] + vX_[4163] * vX_[731] + vX_[5756] * vX_[664];
+ vX_[4163] = 0 - vX_[5756];
+ vX_[3744] = vX_[4165] * vX_[801] + vX_[5672] * vX_[604] + vX_[3753] * vX_[731] + vX_[3744] * vX_[664];
+ vX_[3753] = 0 - vX_[3744];
+ vX_[4166] = vX_[4168] * vX_[801] + vX_[5767] * vX_[604] + vX_[3754] * vX_[731] + vX_[4166] * vX_[664];
+ vX_[3754] = 0 - vX_[4166];
+ vX_[5767] = 0 - vX_[5795];
+ vX_[4168] = 0 - vX_[5756];
+ vX_[5672] = 0 - vX_[3744];
+ vX_[4165] = 0 - vX_[4166];
+ vX_[5676] = 0 - vX_[5795];
+ vX_[4151] = (vX_[4151] * vX_[3708] + vX_[4168] * vX_[662] + vX_[5672] * vX_[633] + vX_[4165] * vX_[691] +
+ vX_[5676] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4164] = 0 - vX_[4151];
+ vX_[4883] = (vX_[4142] * vX_[3708] + vX_[4163] * vX_[510] + vX_[3753] * vX_[518] + vX_[3754] * vX_[690] +
+ vX_[5767] * vX_[628] + vX_[4164] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4168] = vX_[4169] * vX_[1083] + vX_[4034] * vX_[602] + vX_[4935] * vX_[725] + vX_[4905] * vX_[666] +
+ vX_[4168] * vX_[668];
+ vX_[4905] = 0 - vX_[4168];
+ vX_[5672] = vX_[4170] * vX_[1083] + vX_[4018] * vX_[602] + vX_[4927] * vX_[725] + vX_[4651] * vX_[666] +
+ vX_[5672] * vX_[668];
+ vX_[4651] = 0 - vX_[5672];
+ vX_[4165] = vX_[4171] * vX_[1083] + vX_[3998] * vX_[602] + vX_[4918] * vX_[725] + vX_[4914] * vX_[666] +
+ vX_[4165] * vX_[668];
+ vX_[4914] = 0 - vX_[4165];
+ vX_[5676] = vX_[4172] * vX_[1083] + vX_[4937] * vX_[602] + vX_[4908] * vX_[725] + vX_[4906] * vX_[666] +
+ vX_[5676] * vX_[668];
+ vX_[4906] = 0 - vX_[5676];
+ vX_[4908] = 0 - vX_[4147] * vX_[1083] - vX_[4148] * vX_[602] - vX_[4157] * vX_[725] - vX_[4154] * vX_[666] -
+ vX_[4151] * vX_[668];
+ vX_[4937] = 0 - vX_[4908];
+ vX_[4142] = (vX_[4142] * vX_[3689] + vX_[4905] * vX_[510] + vX_[4651] * vX_[518] + vX_[4914] * vX_[690] +
+ vX_[4906] * vX_[628] + vX_[4937] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4172] = 0 - vX_[4178] * vX_[1426] - vX_[4923] * vX_[620] - vX_[4916] * vX_[723] - vX_[4897] * vX_[590] -
+ vX_[4883] * vX_[624] - vX_[4142] * vX_[637];
+ vX_[4918] = vX_[5795] - vX_[4172];
+ vX_[3998] = vX_[4151] + vX_[5676];
+ vX_[4171] = vX_[4918] * vX_[487] + vX_[3998] * vX_[485];
+ vX_[4927] = vX_[4908] - vX_[4172];
+ vX_[4018] = vX_[4927] * vX_[487];
+ vX_[4170] = vX_[4918] * vX_[473] + vX_[3998] * vX_[487];
+ vX_[4935] = vX_[4927] * vX_[485];
+ vX_[4034] = vX_[4170] + vX_[4935];
+ vX_[4169] = vX_[4171] * vX_[473] + vX_[4018] * vX_[485] + vX_[4034] * vX_[487];
+ vX_[4885] = 0 - vX_[4169];
+ vX_[4901] = vX_[4172] + vX_[4170] * vX_[473] + vX_[4018] * vX_[487];
+ vX_[4884] = 0 - vX_[4901];
+ vX_[4829] = vX_[4172] + vX_[4171] * vX_[487] + vX_[4935] * vX_[485];
+ vX_[4651] = vX_[4174] * vX_[1426] + vX_[3755] * vX_[620] + vX_[4931] * vX_[723] + vX_[4899] * vX_[590] +
+ vX_[3753] * vX_[624] + vX_[4651] * vX_[637];
+ vX_[3753] = vX_[4916] + vX_[4651];
+ vX_[4899] = vX_[4154] + vX_[4165] - vX_[3753];
+ vX_[4905] = vX_[4173] * vX_[1426] + vX_[5779] * vX_[620] + vX_[4936] * vX_[723] + vX_[4912] * vX_[590] +
+ vX_[4163] * vX_[624] + vX_[4905] * vX_[637];
+ vX_[4163] = vX_[4923] + vX_[4905];
+ vX_[4912] = 0 - (vX_[4155] + vX_[4166]) + vX_[4163];
+ vX_[4936] = (vX_[4163] * vX_[473] + vX_[3753] * vX_[487]) * -1;
+ vX_[5779] = 0 - (vX_[4899] * vX_[487] + vX_[4912] * vX_[485]) + vX_[4936];
+ vX_[4173] = vX_[5779] + vX_[4901] * vX_[474];
+ vX_[4931] = 0 - vX_[4173];
+ vX_[3755] = (vX_[4163] * vX_[487] + vX_[3753] * vX_[485]) * -1;
+ vX_[4174] = vX_[4899] * vX_[473] + vX_[4912] * vX_[487] + vX_[3755];
+ vX_[4824] = 0 - vX_[4829];
+ vX_[4810] = vX_[4174] + vX_[4169] * vX_[474] + vX_[4824] * vX_[393];
+ vX_[4812] = vX_[4158] + vX_[3744];
+ vX_[4828] = vX_[4153] + vX_[5756];
+ vX_[4811] = vX_[4812] * vX_[485] + vX_[4828] * vX_[487];
+ vX_[4756] = vX_[4148] + vX_[4168];
+ vX_[4751] = vX_[4157] + vX_[5672];
+ vX_[4737] = vX_[4756] * vX_[487] + vX_[4751] * vX_[485];
+ vX_[4739] = vX_[4811] * vX_[473] + vX_[4737] * vX_[487];
+ vX_[4937] = vX_[4177] * vX_[1426] + vX_[4933] * vX_[620] + vX_[4919] * vX_[723] + vX_[4902] * vX_[590] +
+ vX_[4164] * vX_[624] + vX_[4937] * vX_[637];
+ vX_[4164] = vX_[4142] + vX_[4937];
+ vX_[4906] = vX_[4176] * vX_[1426] + vX_[4042] * vX_[620] + vX_[4724] * vX_[723] + vX_[4910] * vX_[590] +
+ vX_[5767] * vX_[624] + vX_[4906] * vX_[637];
+ vX_[5767] = vX_[4883] + vX_[4906];
+ vX_[4910] = 0 - vX_[5767];
+ vX_[4724] = vX_[4164] * vX_[487] + vX_[4910] * vX_[485];
+ vX_[4042] = 0 - vX_[4724];
+ vX_[4176] = vX_[4739] + vX_[4042] * vX_[393] + vX_[4884] * vX_[489];
+ vX_[4902] = 0 - vX_[4176];
+ vX_[4919] = vX_[4812] * vX_[487] + vX_[4828] * vX_[473];
+ vX_[4933] = vX_[4756] * vX_[473] + vX_[4751] * vX_[487];
+ vX_[4177] = vX_[4919] * vX_[487] + vX_[4933] * vX_[485];
+ vX_[5767] = 0 - vX_[5767];
+ vX_[4755] = vX_[4164] * vX_[473] + vX_[5767] * vX_[487];
+ vX_[4738] = 0 - vX_[4755];
+ vX_[4683] = vX_[4177] + vX_[4738] * vX_[474] + vX_[4829] * vX_[489];
+ vX_[4678] = vX_[4919] * vX_[473] + vX_[4933] * vX_[487];
+ vX_[4664] = vX_[4678] + vX_[4724] * vX_[474];
+ vX_[4666] = vX_[4811] * vX_[487] + vX_[4737] * vX_[485];
+ vX_[4682] = vX_[4666] + vX_[4755] * vX_[393] + vX_[4885] * vX_[489];
+ vX_[4665] = 0 - vX_[4664] + vX_[4682];
+ vX_[4552] = 0 - vX_[4169];
+ vX_[4542] = 0 - vX_[4901];
+ vX_[4884] = vX_[4885] * vX_[611] + vX_[4884] * vX_[556] + vX_[4829] * vX_[452] + vX_[4931] * vX_[490] +
+ vX_[4810] * vX_[501] + vX_[4902] * vX_[481] + vX_[4683] * vX_[475] + vX_[4665] * vX_[472] +
+ vX_[4552] * vX_[608] + vX_[4169] * vX_[605] + vX_[4542] * vX_[555] + vX_[4829] * vX_[559];
+ vX_[4885] = 0 - vX_[4116];
+ vX_[4553] = 0 - vX_[4045];
+ vX_[4550] = vX_[4412] * 0.881 + (0 - vX_[4429]) * 0.1104774 + vX_[4431] * 0.0004405;
+ vX_[4546] = vX_[4423] * 0.00185880198235362 + vX_[4425] * 0.880992588508842 + vX_[4429] * -8.81e-05;
+ vX_[4536] = vX_[4553] * vX_[1305] + vX_[4550] * vX_[46] + vX_[4546] * x_in[26];
+ vX_[3760] = 0 - vX_[5368] + vX_[5377] - vX_[3760];
+ vX_[5377] = 0 - vX_[4550];
+ vX_[5368] = vX_[4423] * 0.414812462825713 + vX_[4425] * 0.00185880198235362 + vX_[4431] * 8.81e-05;
+ vX_[4549] = vX_[3760] * vX_[1305] + vX_[5377] * vX_[42] - vX_[5368] * x_in[26];
+ vX_[4544] = 0 - vX_[5732];
+ vX_[4539] = vX_[4410] * 3.146 + (0 - vX_[4411]) * 0.47422804 + vX_[4421] * -0.0825825;
+ vX_[4441] = vX_[4414] * vX_[449] + vX_[4415] * vX_[448] + vX_[4411] * vX_[425] + vX_[4421] * vX_[420];
+ vX_[4548] = vX_[4536] * vX_[395] + vX_[4549] * vX_[397] + vX_[4544] * vX_[1233] + vX_[4539] * vX_[15] +
+ vX_[4441] * x_in[25];
+ vX_[6629] = 0 - vX_[5586] + vX_[6629];
+ vX_[5586] = 0 - vX_[4539];
+ vX_[4540] = vX_[4414] * vX_[447] + vX_[4415] * vX_[449] + vX_[4411] * vX_[431] + vX_[4421] * vX_[430];
+ vX_[4531] = vX_[4536] * vX_[1690] + vX_[4549] * vX_[395] + vX_[6629] * vX_[1233] + vX_[5586] * vX_[43] -
+ vX_[4540] * x_in[25];
+ vX_[4521] = vX_[4369] * -3.44;
+ vX_[4532] = vX_[4393] * 0.1466472;
+ vX_[4529] = vX_[4408] * 0.5824264;
+ vX_[4525] = 0 - vX_[4521] + vX_[4532] - vX_[4529];
+ vX_[4515] = 0 - vX_[5750];
+ vX_[4528] = vX_[2919] + vX_[4397] * vX_[501] + vX_[4369] * vX_[475] + vX_[4403] * vX_[472] + vX_[4406] * vX_[605] +
+ vX_[4408] * vX_[553];
+ vX_[4523] = vX_[4548] * vX_[1686] + vX_[4531] * vX_[421] + vX_[4525] * vX_[10] + vX_[4515] * vX_[1882] -
+ vX_[4528] * x_in[24];
+ vX_[4518] = 0 - vX_[3689];
+ vX_[4368] = vX_[624] * vX_[3708] + vX_[637] * vX_[3689] + vX_[590] * vX_[1647] + vX_[723] * vX_[4108] +
+ vX_[620] * vX_[4116] - vX_[1426];
+ vX_[4527] = vX_[5795] + vX_[4908] + vX_[4172] - vX_[4901] - vX_[4829];
+ vX_[4519] = 0 - vX_[4527];
+ vX_[4936] = vX_[4936] + vX_[4519] * vX_[474];
+ vX_[3755] = vX_[3755] + vX_[4527] * vX_[393];
+ vX_[4510] = 0 - vX_[4810];
+ vX_[4500] = 0 - vX_[4683];
+ vX_[4914] = vX_[4175] * vX_[1426] + vX_[5645] * vX_[620] + vX_[4926] * vX_[723] + vX_[4915] * vX_[590] +
+ vX_[3754] * vX_[624] + vX_[4914] * vX_[637];
+ vX_[3754] = vX_[4897] + vX_[4914] + vX_[4828] + vX_[4751] - vX_[4678] - vX_[4666];
+ vX_[4682] = vX_[3754] - vX_[4682];
+ vX_[4915] = 0 - vX_[4724];
+ vX_[4926] = 0 - vX_[4169];
+ vX_[5645] = 0 - vX_[4829];
+ vX_[4175] = vX_[5659] - vX_[4167];
+ vX_[4511] = vX_[6683] - vX_[4167];
+ vX_[4508] = vX_[4161] + vX_[5660];
+ vX_[4504] = vX_[4159] + vX_[5784];
+ vX_[4494] = vX_[4156] + vX_[5800];
+ vX_[4507] = 0 - vX_[4494];
+ vX_[4502] = vX_[4175] * vX_[487] + vX_[4508] * vX_[485];
+ vX_[4497] = vX_[4511] * vX_[487];
+ vX_[4295] = vX_[4175] * vX_[473] + vX_[4508] * vX_[487];
+ vX_[4506] = vX_[4511] * vX_[485];
+ vX_[4498] = vX_[4295] + vX_[4506];
+ vX_[4489] = vX_[4412] * 0.0004405 + vX_[4423] * -8.81e-05 + vX_[4431] * -0.000227999999999999;
+ vX_[4479] = vX_[4412] * 0.1104774 + vX_[4425] * -8.81e-05 + (0 - vX_[4429]) * 0.025713;
+ vX_[4490] = (0 - vX_[4423]) * 0.0004405;
+ vX_[4487] = (0 - vX_[4425]) * 0.1104774;
+ vX_[4483] = vX_[4490] + vX_[4487];
+ vX_[4483] = vX_[4553] * vX_[1931] + vX_[3760] * vX_[1617] + vX_[4489] * vX_[42] + vX_[4479] * vX_[46] +
+ vX_[4483] * vX_[1305] + vX_[4483] * vX_[1305];
+ vX_[3760] = vX_[4410] * -0.0825825 + (0 - vX_[4416]) * 0.000102 + vX_[4411] * 0.007418 + vX_[4421] * 0.002735;
+ vX_[4553] = vX_[4410] * 0.47422804 + vX_[4416] * 2.1e-05 + (0 - vX_[4411]) * 0.084376 + (0 - vX_[4421]) * 0.007418;
+ vX_[4470] = (0 - vX_[4414]) * -0.0825825;
+ vX_[4486] = (0 - vX_[4415]) * 0.47422804;
+ vX_[4481] = vX_[4411] * 0.000102;
+ vX_[4476] = (0 - vX_[4421]) * 2.1e-05;
+ vX_[4222] = vX_[4470] + vX_[4486] + vX_[4481] + vX_[4476];
+ vX_[4222] = vX_[4483] + vX_[4536] * vX_[1698] + vX_[4549] * vX_[400] + vX_[4544] * vX_[1145] +
+ vX_[6629] * vX_[916] + vX_[3760] * vX_[43] + vX_[4553] * vX_[15] + vX_[4222] * vX_[1233] +
+ vX_[4222] * vX_[1233];
+ vX_[6629] = vX_[4369] * 0.5824264 + (0 - vX_[4393]) * -0.022734 + vX_[4406] * -3.6e-05 + vX_[4408] * -0.133138;
+ vX_[4544] = vX_[4369] * 0.1466472 + vX_[4393] * 0.009466 + (0 - vX_[4406]) * -5.1e-05 + vX_[4408] * -0.022734;
+ vX_[4485] = (0 - vX_[4397]) * 0.5824264;
+ vX_[4477] = (0 - vX_[4403]) * 0.1466472;
+ vX_[4473] = (0 - vX_[4393]) * -3.6e-05;
+ vX_[4468] = (0 - vX_[4408]) * -5.1e-05;
+ vX_[4454] = vX_[4485] + vX_[4477] + vX_[4473] - vX_[4468];
+ vX_[4456] = vX_[4146] + vX_[4397] * vX_[506] + vX_[4369] * vX_[553] + vX_[4403] * vX_[608] + vX_[4406] * vX_[607] +
+ vX_[4408] * vX_[469];
+ vX_[4454] = vX_[4548] * vX_[1687] + vX_[4531] * vX_[439] + vX_[4222] * -1 + vX_[5805] * vX_[5] +
+ vX_[4515] * vX_[1543] + vX_[6629] * vX_[10] + vX_[4544] * vX_[2916] + vX_[4454] * vX_[1882] +
+ vX_[4454] * vX_[1882] + vX_[4456] * x_in[24];
+ vX_[4427] = vX_[4423] * 0.1104774 + vX_[4425] * 0.0004405 + vX_[4427] * 0.025941;
+ vX_[4515] = (0 - vX_[4412]) * -8.81e-05;
+ vX_[4487] = vX_[4515] + vX_[4487];
+ vX_[4431] = vX_[4412] * 0.0004405 + vX_[4423] * 8.81e-05 + vX_[4431] * 0.000468;
+ vX_[4487] = vX_[4045] * vX_[4114] + vX_[5377] * vX_[1617] + vX_[4489] * vX_[1305] + vX_[4427] * vX_[46] +
+ vX_[4487] * vX_[42] + vX_[4487] * vX_[42] + vX_[4431] * x_in[26];
+ vX_[4515] = vX_[4515] + vX_[4490];
+ vX_[4429] = vX_[4412] * -0.1104774 + vX_[4425] * -8.81e-05 + vX_[4429] * 0.026409;
+ vX_[4515] = vX_[5376] * vX_[4114] + vX_[4550] * vX_[1931] + vX_[4479] * vX_[1305] + vX_[4427] * vX_[42] +
+ vX_[4515] * vX_[46] + vX_[4515] * vX_[46] - vX_[4429] * x_in[26];
+ vX_[4427] = vX_[4414] * 0.47422804 + vX_[4415] * -0.0825825 + vX_[4416] * 0.081641 + (0 - vX_[4411]) * 2.1e-05 +
+ vX_[4421] * 0.000102;
+ vX_[4479] = (0 - vX_[4416]) * 0.007418;
+ vX_[4476] = vX_[4486] + vX_[4479] - vX_[4476];
+ vX_[4486] = vX_[4410] * vX_[415] + vX_[4414] * vX_[430] + vX_[4415] * vX_[420] + vX_[4411] * vX_[464] +
+ vX_[4421] * vX_[460];
+ vX_[4476] = vX_[5381] * -0.35 + vX_[4487] * vX_[395] + vX_[4515] * vX_[397] + vX_[5732] * vX_[4117] +
+ vX_[5586] * vX_[916] + vX_[3760] * vX_[1233] + vX_[4427] * vX_[15] + vX_[4476] * vX_[43] +
+ vX_[4476] * vX_[43] + vX_[4486] * x_in[25];
+ vX_[4479] = vX_[4470] - vX_[4479] - vX_[4481];
+ vX_[4481] = vX_[4410] * vX_[427] + vX_[4414] * vX_[431] + vX_[4415] * vX_[425] + vX_[4411] * vX_[458] +
+ vX_[4421] * vX_[464];
+ vX_[4479] = vX_[4487] * vX_[398] + vX_[4515] * vX_[395] + vX_[5787] * vX_[4117] + vX_[4539] * vX_[1145] +
+ vX_[4553] * vX_[1233] + vX_[4427] * vX_[43] + vX_[4479] * vX_[15] + vX_[4479] * vX_[15] -
+ vX_[4481] * x_in[25];
+ vX_[4529] = vX_[4521] - vX_[4532] + vX_[4529];
+ vX_[4532] = vX_[4397] * 0.1466472 + vX_[4403] * 0.5824264 + vX_[4393] * -5.1e-05 + (0 - vX_[4406]) * -0.123672 +
+ (0 - vX_[4408]) * -3.6e-05;
+ vX_[4521] = vX_[4406] * -0.022734;
+ vX_[4473] = vX_[4485] - vX_[4473] - vX_[4521];
+ vX_[4485] = vX_[4144] + vX_[4397] * vX_[443] + vX_[4369] * vX_[605] + vX_[4403] * vX_[554] + vX_[4406] * vX_[552] +
+ vX_[4408] * vX_[607];
+ vX_[4473] = vX_[4476] * vX_[433] + vX_[4479] * vX_[421] + vX_[4529] * vX_[5] + vX_[5750] * vX_[4129] +
+ vX_[4532] * vX_[10] + vX_[4544] * vX_[1882] + vX_[4473] * vX_[2916] + vX_[4473] * vX_[2916] -
+ vX_[4485] * x_in[24];
+ vX_[4458] = vX_[4458] * vX_[2082];
+ vX_[4544] = vX_[4458] * vX_[395];
+ vX_[4459] = vX_[4459] * vX_[2082];
+ vX_[5750] = vX_[4459] * vX_[1702];
+ vX_[4460] = vX_[4460] * vX_[2082];
+ vX_[4427] = 0 - vX_[4460];
+ vX_[4430] = vX_[4430] * vX_[2077];
+ vX_[4553] = vX_[4430] * vX_[395];
+ vX_[4539] = vX_[4430] * vX_[1702];
+ vX_[5787] = 0 - vX_[4539];
+ vX_[4446] = vX_[4446] * vX_[2089];
+ vX_[4470] = vX_[4446] * vX_[1702];
+ vX_[4434] = vX_[4434] * vX_[1911];
+ vX_[3760] = vX_[4434] * vX_[395];
+ vX_[4432] = vX_[4432] * vX_[2077];
+ vX_[5586] = vX_[4432] * vX_[395];
+ vX_[5732] = vX_[4432] * vX_[1702];
+ vX_[5381] = vX_[4446] * vX_[395];
+ vX_[4447] = vX_[4447] * vX_[2089];
+ vX_[4550] = 0 - vX_[4447];
+ vX_[5376] = vX_[4550] * vX_[395];
+ vX_[4425] = vX_[4447] * vX_[1702];
+ vX_[4412] = vX_[4458] + vX_[4434];
+ vX_[4435] = vX_[4435] * vX_[1911];
+ vX_[4490] = 0 - vX_[4459] - vX_[4435];
+ vX_[4489] = vX_[4412] * vX_[1702] + vX_[4490] * vX_[395];
+ vX_[5377] = vX_[4435] * vX_[1702];
+ vX_[4452] = vX_[4452] * vX_[2089] + vX_[4440] * vX_[2077];
+ vX_[4440] = 0 - vX_[4452];
+ vX_[4045] = 0 - vX_[4452];
+ vX_[4423] = vX_[4045] * vX_[395];
+ vX_[4472] = vX_[4452] * vX_[1702];
+ vX_[4455] = vX_[4453] * vX_[1830] + vX_[4535] * vX_[1782] + vX_[4538] * vX_[1814];
+ vX_[4400] = 0 - vX_[4455];
+ vX_[4395] = vX_[4453] * vX_[1920] + vX_[4535] * vX_[1815] + vX_[4538] * vX_[1776];
+ vX_[4381] = vX_[4400] * x_in[18] + vX_[4395] * x_in[19];
+ vX_[4383] = 0 - vX_[4381];
+ vX_[4399] = 0 - vX_[4381];
+ vX_[4382] = vX_[4399] * vX_[395];
+ vX_[4327] = vX_[4381] * vX_[1702];
+ vX_[4453] = vX_[4453] * vX_[1812] + vX_[4535] * vX_[1831] + vX_[4538] * vX_[1921];
+ jac[924] = vX_[4540] * vX_[1708] + vX_[4441] * vX_[1145] + vX_[4481] * vX_[2090] + vX_[4486] * vX_[43] + vX_[4222] +
+ vX_[4453] * vX_[1835] + vX_[4455] * vX_[1788] + vX_[4395] * vX_[1821];
+ jac[960] = vX_[5368] * vX_[1739] + vX_[4546] * vX_[1931] + vX_[4429] * vX_[6] + vX_[4431] * vX_[42] + vX_[4483] +
+ vX_[4453] * vX_[1845] + vX_[4455] * vX_[1799] + vX_[4395] * vX_[1818];
+ vX_[4429] = vX_[4453] * x_in[26];
+ vX_[4431] = vX_[4429] * vX_[395];
+ vX_[4483] = vX_[4429] * vX_[1702];
+ vX_[5368] = vX_[4453] * x_in[25];
+ vX_[4546] = vX_[4455] * x_in[24];
+ vX_[4481] = 0 - vX_[4546];
+ vX_[4486] = vX_[5368] * vX_[395];
+ vX_[4222] = 0 - vX_[4546];
+ vX_[4540] = vX_[4222] * vX_[395];
+ vX_[4441] = vX_[5368] * vX_[1702];
+ vX_[4538] = vX_[4546] * vX_[1702];
+ vX_[4535] = vX_[4464] * vX_[1876];
+ vX_[4322] = 0 - vX_[4535];
+ vX_[4308] = 0 - vX_[4535];
+ vX_[4310] = vX_[4308] * vX_[395];
+ vX_[4326] = vX_[4535] * vX_[1702];
+ vX_[4309] = 0 - vX_[4936];
+ vX_[4254] = 0 - vX_[3755];
+ vX_[3754] = 0 - vX_[3754] + vX_[4664];
+ vX_[4664] = 0 - vX_[4755];
+ vX_[4494] = 0 - vX_[4494];
+ vX_[4424] = vX_[4424] * vX_[2077];
+ vX_[4249] = vX_[4424] * vX_[1702];
+ vX_[4426] = vX_[4426] * vX_[2077];
+ vX_[4235] = 0 - vX_[4426];
+ vX_[4237] = vX_[4235] * vX_[395];
+ vX_[4428] = vX_[4428] * vX_[2077];
+ vX_[4253] = 0 - vX_[4428];
+ vX_[4445] = vX_[4445] * vX_[2089];
+ vX_[4461] = vX_[4461] * vX_[2082];
+ vX_[4236] = vX_[4461] * vX_[395];
+ vX_[2908] = vX_[4461] * vX_[1702];
+ vX_[4450] = vX_[4450] * vX_[2079];
+ vX_[2898] = vX_[4450] * vX_[1702];
+ vX_[4462] = vX_[4462] * vX_[2082];
+ vX_[2909] = vX_[4462] * vX_[395];
+ vX_[2906] = 0 - vX_[2909];
+ vX_[2902] = vX_[4462] * vX_[1702];
+ vX_[4451] = vX_[4451] * vX_[2079];
+ vX_[2892] = 0 - vX_[4451];
+ vX_[2905] = vX_[2892] * vX_[395];
+ vX_[2900] = vX_[4424] + vX_[4450];
+ vX_[4451] = vX_[4426] + vX_[4451];
+ vX_[4426] = vX_[2900] * vX_[395] + vX_[4451] * vX_[1702];
+ vX_[4448] = vX_[4448] * vX_[2089] + vX_[4439] * vX_[2082];
+ vX_[4439] = 0 - vX_[4448];
+ vX_[2895] = 0 - vX_[4448];
+ vX_[2797] = vX_[2895] * vX_[395];
+ vX_[2904] = vX_[4448] * vX_[1702];
+ vX_[2896] = 0 - vX_[4395];
+ vX_[2887] = vX_[4453] * x_in[18] + vX_[2896] * x_in[20];
+ vX_[2877] = 0 - vX_[2887];
+ vX_[2888] = vX_[2887] * vX_[1702];
+ vX_[2885] = vX_[4453] * x_in[24];
+ vX_[2881] = vX_[2885] * vX_[1702];
+ vX_[2871] = vX_[4455] * x_in[26];
+ vX_[2884] = vX_[2871] * vX_[395];
+ vX_[2879] = vX_[2871] * vX_[1702];
+ vX_[2874] = vX_[4455] * x_in[25];
+ vX_[2724] = vX_[2885] * vX_[395];
+ vX_[2883] = vX_[2874] * vX_[395];
+ vX_[2875] = vX_[2874] * vX_[1702];
+ vX_[2866] = vX_[4464] * vX_[1866];
+ vX_[2856] = 0 - vX_[2866];
+ vX_[2867] = 0 - vX_[2887];
+ vX_[2864] = 0 - vX_[2866];
+ vX_[2860] = vX_[2867] * vX_[395] + vX_[2864] * vX_[395];
+ vX_[2850] = vX_[2866] * vX_[1702];
+ jac[240] =
+ 0 -
+ (0 - (vX_[2919] * vX_[4013] + vX_[4160] * vX_[4135] + vX_[5599] * x_in[22]) +
+ (vX_[2919] * vX_[5604] + vX_[4152] * vX_[4135] + vX_[4884] * vX_[487] + vX_[5599] * x_in[20]) * -0.3735 -
+ (vX_[4140] * vX_[4885] + vX_[4162] * vX_[3739] + vX_[4523] * x_in[23]) +
+ (vX_[4140] * vX_[4518] + vX_[4147] * vX_[3739] + vX_[4523] * x_in[19]) * 0.3735 +
+ (vX_[4140] * vX_[4368] + vX_[4178] * vX_[3739] +
+ (vX_[4042] * vX_[556] + vX_[4755] * vX_[611] + vX_[4527] * vX_[500] + vX_[4824] * vX_[502] +
+ vX_[4936] * vX_[472] + vX_[3755] * vX_[481] + vX_[4510] * vX_[484] + vX_[4500] * vX_[501] +
+ vX_[4682] * vX_[490] + vX_[4915] * vX_[554] + vX_[4755] * vX_[608] + vX_[4926] * vX_[443] +
+ vX_[5645] * vX_[561]) *
+ -1 +
+ vX_[4523] * x_in[18]) *
+ -0.207 -
+ (vX_[4144] * vX_[4518] + vX_[4146] * vX_[5604] + vX_[4152] * vX_[1456] + vX_[4147] * vX_[1893] +
+ vX_[4175] * vX_[719] + vX_[4511] * vX_[717] + vX_[4508] * vX_[715] + vX_[4504] * vX_[688] +
+ vX_[4507] * vX_[490] + vX_[4502] * vX_[696] + vX_[4497] * vX_[695] + vX_[4498] * vX_[472] +
+ vX_[4812] * vX_[680] + vX_[4756] * vX_[658] + vX_[4163] * vX_[508] + vX_[3753] * vX_[498] +
+ vX_[4828] * vX_[681] + vX_[4751] * vX_[661] + vX_[4919] * vX_[659] + vX_[4811] * vX_[610] +
+ vX_[4933] * vX_[660] + vX_[4737] * vX_[657] + vX_[4899] * vX_[497] + vX_[4912] * vX_[507] +
+ vX_[4918] * vX_[617] + vX_[4927] * vX_[615] + vX_[3998] * vX_[613] + vX_[4164] * vX_[634] +
+ vX_[5767] * vX_[635] + vX_[4171] * vX_[562] + vX_[4018] * vX_[558] + vX_[4034] * vX_[612] +
+ vX_[4884] * vX_[488] + vX_[4454] * x_in[19] + vX_[4473] * x_in[20]) +
+ vX_[4413] * vX_[2077] + vX_[4449] * vX_[2079] + vX_[4544] * vX_[394] + vX_[5750] * vX_[394] +
+ vX_[4427] * vX_[394] * 0.35 + vX_[4460] * 0.3735 + vX_[4553] * 0.35 + vX_[4553] * vX_[421] * 0.08 +
+ vX_[4553] * vX_[394] * -0.3735 + vX_[5787] * vX_[421] * 0.3735 + vX_[4539] * vX_[394] * -0.08 +
+ vX_[4470] * vX_[421] * 0.207 + vX_[3760] * vX_[394] + vX_[5586] * vX_[421] * 0.3735 +
+ vX_[5586] * vX_[394] * 0.08 + vX_[5732] * 0.35 + vX_[5732] * vX_[394] * -0.3735 +
+ (vX_[5381] * vX_[394] + vX_[5376] * vX_[421]) * 0.207 + vX_[4425] * vX_[394] * 0.207 +
+ vX_[4489] * vX_[421] + vX_[5377] * vX_[394] + (vX_[5732] * vX_[421] - vX_[4452]) * 0.08 +
+ vX_[4440] * vX_[421] * 0.35 + vX_[4423] * vX_[421] * 0.33 + vX_[4472] * vX_[394] * 0.33 +
+ (0 - vX_[4381]) * 0.08 + vX_[4383] * vX_[421] * 0.35 + vX_[4382] * vX_[421] * 0.33 +
+ vX_[4327] * vX_[394] * 0.33 + vX_[4431] * vX_[394] * 0.33 + vX_[4483] * vX_[421] * 0.33 +
+ vX_[5368] * vX_[394] * 0.35 + (0 - vX_[4546]) * 0.08 + vX_[4481] * vX_[421] * 0.35 +
+ (vX_[4486] * vX_[394] + vX_[4540] * vX_[421]) * 0.33 +
+ (vX_[4441] * vX_[421] + vX_[4538] * vX_[394]) * 0.33 + (0 - vX_[4535]) * 0.08 +
+ vX_[4322] * vX_[421] * 0.35 + vX_[4310] * vX_[421] * 0.33 + vX_[4326] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[2919] * vX_[4885] + vX_[4144] * vX_[5604] + vX_[4162] * vX_[4135] + vX_[4152] * vX_[1893] +
+ vX_[4175] * vX_[715] + vX_[4504] * vX_[490] + vX_[4295] * vX_[695] + vX_[4502] * vX_[472] +
+ vX_[4756] * vX_[661] + vX_[4163] * vX_[498] + vX_[4828] * vX_[680] + vX_[4919] * vX_[660] +
+ vX_[4811] * vX_[657] + vX_[4899] * vX_[507] + vX_[4918] * vX_[613] + vX_[4164] * vX_[635] +
+ vX_[4170] * vX_[558] + vX_[4171] * vX_[612] +
+ (vX_[4724] * vX_[609] + vX_[4738] * vX_[452] + vX_[4169] * vX_[502] + vX_[4519] * vX_[476] +
+ vX_[4901] * vX_[491] + vX_[4309] * vX_[475] + vX_[4173] * vX_[484] + vX_[4254] * vX_[472] +
+ vX_[4176] * vX_[490] + vX_[3754] * vX_[501] + vX_[4724] * vX_[605] + vX_[4664] * vX_[553] +
+ vX_[4169] * vX_[506] + vX_[4901] * vX_[550]) *
+ 0.207 +
+ vX_[5599] * x_in[23] + vX_[4454] * x_in[20] +
+ (vX_[2919] * vX_[4518] + vX_[4147] * vX_[4135] + vX_[4884] * vX_[485] + vX_[5599] * x_in[19]) * -0.3735 +
+ (vX_[2919] * vX_[4368] + vX_[4178] * vX_[4135] + vX_[5599] * x_in[18]) * 0.207 -
+ (vX_[4140] * vX_[4013] + vX_[4160] * vX_[3739] + vX_[4523] * x_in[22]) +
+ (vX_[4140] * vX_[5604] + vX_[4152] * vX_[3739] + vX_[4523] * x_in[20]) * -0.3735 -
+ (vX_[4146] * vX_[4518] + vX_[4147] * vX_[1456] + vX_[4511] * vX_[716] + vX_[4508] * vX_[719] +
+ vX_[4494] * vX_[688] + vX_[4497] * vX_[472] + vX_[4506] * vX_[696] + vX_[4812] * vX_[681] +
+ vX_[3753] * vX_[508] + vX_[4751] * vX_[658] + vX_[4933] * vX_[659] + vX_[4737] * vX_[610] +
+ vX_[4912] * vX_[497] + vX_[4927] * vX_[614] + vX_[3998] * vX_[617] + vX_[4910] * vX_[634] +
+ vX_[4018] * vX_[612] + vX_[4935] * vX_[562] + vX_[4884] * vX_[486] + vX_[4473] * x_in[19]) -
+ vX_[4457] * vX_[2082] + vX_[4249] * vX_[421] + vX_[4237] * vX_[421] + vX_[4253] * vX_[394] * 0.35 +
+ vX_[4428] * 0.3735 + (0 - vX_[4445]) * 0.207 - vX_[4433] * vX_[1911] + (0 - vX_[4236]) * 0.35 +
+ (0 - vX_[4236] * vX_[421]) * 0.08 + vX_[4236] * vX_[394] * 0.3735 + vX_[2908] * vX_[421] * 0.3735 +
+ vX_[2908] * vX_[394] * 0.08 + vX_[2898] * vX_[421] + vX_[2906] * vX_[421] * 0.3735 +
+ (0 - vX_[2909] * vX_[394]) * 0.08 + (0 - vX_[2902]) * 0.35 + (0 - vX_[2902] * vX_[421]) * 0.08 +
+ vX_[2902] * vX_[394] * 0.3735 + vX_[2905] * vX_[421] + vX_[4426] * vX_[394] + (0 - vX_[4448]) * 0.08 +
+ vX_[4439] * vX_[421] * 0.35 + vX_[2797] * vX_[421] * 0.33 + vX_[2904] * vX_[394] * 0.33 +
+ (0 - vX_[2887]) * 0.08 + vX_[2877] * vX_[421] * 0.35 + vX_[2888] * vX_[394] * 0.33 + vX_[2885] * 0.08 +
+ vX_[2885] * vX_[421] * 0.35 + vX_[2881] * vX_[394] * -0.33 + vX_[2884] * vX_[394] * 0.33 +
+ vX_[2879] * vX_[421] * 0.33 + vX_[2874] * vX_[394] * 0.35 +
+ (vX_[2724] * vX_[421] + vX_[2883] * vX_[394]) * 0.33 + vX_[2875] * vX_[421] * 0.33 +
+ (0 - vX_[2866]) * 0.08 + vX_[2856] * vX_[421] * 0.35 + vX_[2860] * vX_[421] * 0.33 +
+ vX_[2850] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[4428] = vX_[4854] * 0.881 + (0 - vX_[4856]) * 0.0004405 + vX_[4858] * -8.81e-05;
+ vX_[4460] = vX_[4852] * -0.881;
+ vX_[4508] = vX_[4856] * 0.1104774;
+ vX_[4511] = vX_[4860] * -8.81e-05;
+ vX_[4175] = vX_[4460] - vX_[4508] + vX_[4511];
+ vX_[4519] = vX_[4428] * vX_[42] + vX_[4175] * vX_[46];
+ vX_[4527] = vX_[4844] * 3.146 + (0 - vX_[4845]) * -0.0825825;
+ vX_[4884] = vX_[4843] * -3.146;
+ vX_[4738] = vX_[4845] * 0.47422804;
+ vX_[5767] = vX_[4884] - vX_[4738];
+ vX_[4933] = vX_[4519] + vX_[4527] * vX_[43] + vX_[5767] * vX_[15];
+ vX_[4919] = vX_[4832] * 3.44 + vX_[4835] * 0.5824264;
+ vX_[4042] = 0 - vX_[4919];
+ vX_[4910] = vX_[4826] * 3.44 + (0 - vX_[4835]) * 0.1466472;
+ vX_[4164] = vX_[4569] + vX_[4826] * vX_[490] + vX_[4798] * vX_[472] + vX_[4832] * vX_[481] + vX_[4835] * vX_[554] +
+ vX_[4837] * vX_[608];
+ vX_[4737] = vX_[4933] * -1 + vX_[4042] * vX_[10] + vX_[4910] * vX_[2916] + vX_[4164] * x_in[24];
+ vX_[4751] = 0 - vX_[4591] * vX_[4116];
+ vX_[4756] = 0 - vX_[4751];
+ vX_[4811] = 0 - vX_[4751];
+ vX_[4590] = (vX_[4590] * vX_[4116] + vX_[4811] * vX_[743]) * 1 / vX_[718];
+ vX_[4828] = 0 - vX_[4590];
+ vX_[4812] = 0 - vX_[4751];
+ vX_[4824] = 0 - vX_[4590];
+ vX_[4585] = (vX_[4585] * vX_[4116] + vX_[4812] * vX_[689] + vX_[4824] * vX_[736]) * 1 / vX_[721];
+ vX_[4912] = 0 - vX_[4585];
+ vX_[4582] =
+ (vX_[4582] * vX_[4116] + vX_[4756] * vX_[682] + vX_[4828] * vX_[730] + vX_[4912] * vX_[509]) * 1 / vX_[618];
+ vX_[4811] = vX_[4592] * vX_[1853] + vX_[4811] * vX_[712];
+ vX_[4592] = 0 - vX_[4811];
+ vX_[4163] = 0 - vX_[4589] * vX_[1853] - vX_[4590] * vX_[712];
+ vX_[4899] = 0 - vX_[4163];
+ vX_[3753] = 0 - vX_[4811];
+ vX_[4034] = 0 - vX_[4163];
+ vX_[4588] = (vX_[4588] * vX_[4108] + vX_[3753] * vX_[689] + vX_[4034] * vX_[736]) * 1 / vX_[721];
+ vX_[4935] = 0 - vX_[4588];
+ vX_[4587] =
+ (vX_[4587] * vX_[4108] + vX_[4592] * vX_[682] + vX_[4899] * vX_[730] + vX_[4935] * vX_[509]) * 1 / vX_[618];
+ vX_[3753] = vX_[4595] * vX_[41] + vX_[4812] * vX_[722] + vX_[3753] * vX_[737];
+ vX_[4812] = 0 - vX_[3753];
+ vX_[4034] = vX_[4596] * vX_[41] + vX_[4824] * vX_[722] + vX_[4034] * vX_[737];
+ vX_[4824] = 0 - vX_[4034];
+ vX_[4596] = 0 - vX_[4579] * vX_[41] - vX_[4585] * vX_[722] - vX_[4588] * vX_[737];
+ vX_[4595] = 0 - vX_[4596];
+ vX_[4584] =
+ (vX_[4584] * vX_[1647] + vX_[4812] * vX_[682] + vX_[4824] * vX_[730] + vX_[4595] * vX_[509]) * 1 / vX_[618];
+ vX_[4170] = 0 - vX_[4581] * vX_[801] - vX_[4582] * vX_[604] - vX_[4587] * vX_[731] - vX_[4584] * vX_[664];
+ vX_[4018] = 0 - vX_[4751];
+ vX_[4927] = 0 - vX_[4590];
+ vX_[4171] = 0 - vX_[4585];
+ vX_[3998] = 0 - vX_[4582];
+ vX_[4918] = 0 - vX_[4751];
+ vX_[4457] = 0 - vX_[4590];
+ vX_[4449] = 0 - vX_[4585];
+ vX_[4433] = 0 - vX_[4582];
+ vX_[4577] = (vX_[4577] * vX_[4116] + vX_[4918] * vX_[662] + vX_[4457] * vX_[633] + vX_[4449] * vX_[691] +
+ vX_[4433] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4413] = 0 - vX_[4577];
+ vX_[4146] = (vX_[4560] * vX_[4116] + vX_[4018] * vX_[510] + vX_[4927] * vX_[518] + vX_[4171] * vX_[690] +
+ vX_[3998] * vX_[628] + vX_[4413] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4144] = 0 - vX_[4811];
+ vX_[4140] = 0 - vX_[4163];
+ vX_[2919] = 0 - vX_[4588];
+ vX_[2863] = 0 - vX_[4587];
+ vX_[2858] = 0 - vX_[4811];
+ vX_[2853] = 0 - vX_[4163];
+ vX_[2651] = 0 - vX_[4588];
+ vX_[2862] = 0 - vX_[4587];
+ vX_[4586] = (vX_[4586] * vX_[4108] + vX_[2858] * vX_[662] + vX_[2853] * vX_[633] + vX_[2651] * vX_[691] +
+ vX_[2862] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[2854] = 0 - vX_[4586];
+ vX_[2845] = (vX_[4560] * vX_[4108] + vX_[4144] * vX_[510] + vX_[4140] * vX_[518] + vX_[2919] * vX_[690] +
+ vX_[2863] * vX_[628] + vX_[2854] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2835] = 0 - vX_[3753];
+ vX_[2846] = 0 - vX_[4034];
+ vX_[2843] = 0 - vX_[4596];
+ vX_[2839] = 0 - vX_[4584];
+ vX_[2826] = 0 - vX_[3753];
+ vX_[2842] = 0 - vX_[4034];
+ vX_[2837] = 0 - vX_[4596];
+ vX_[2832] = 0 - vX_[4584];
+ vX_[4583] = (vX_[4583] * vX_[1647] + vX_[2826] * vX_[662] + vX_[2842] * vX_[633] + vX_[2837] * vX_[691] +
+ vX_[2832] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[2578] = 0 - vX_[4583];
+ vX_[2841] = (vX_[4560] * vX_[1647] + vX_[2835] * vX_[510] + vX_[2846] * vX_[518] + vX_[2843] * vX_[690] +
+ vX_[2839] * vX_[628] + vX_[2578] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4812] = vX_[4593] * vX_[801] + vX_[4756] * vX_[604] + vX_[4592] * vX_[731] + vX_[4812] * vX_[664];
+ vX_[4592] = 0 - vX_[4812];
+ vX_[4824] = vX_[4594] * vX_[801] + vX_[4828] * vX_[604] + vX_[4899] * vX_[731] + vX_[4824] * vX_[664];
+ vX_[4899] = 0 - vX_[4824];
+ vX_[4595] = vX_[4597] * vX_[801] + vX_[4912] * vX_[604] + vX_[4935] * vX_[731] + vX_[4595] * vX_[664];
+ vX_[4935] = 0 - vX_[4595];
+ vX_[4912] = 0 - vX_[4170];
+ vX_[4597] = 0 - vX_[4812];
+ vX_[4828] = 0 - vX_[4824];
+ vX_[4594] = 0 - vX_[4595];
+ vX_[4756] = 0 - vX_[4170];
+ vX_[4580] = (vX_[4580] * vX_[3708] + vX_[4597] * vX_[662] + vX_[4828] * vX_[633] + vX_[4594] * vX_[691] +
+ vX_[4756] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4593] = 0 - vX_[4580];
+ vX_[2833] = (vX_[4560] * vX_[3708] + vX_[4592] * vX_[510] + vX_[4899] * vX_[518] + vX_[4935] * vX_[690] +
+ vX_[4912] * vX_[628] + vX_[4593] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4597] = vX_[4598] * vX_[1083] + vX_[4918] * vX_[602] + vX_[2858] * vX_[725] + vX_[2826] * vX_[666] +
+ vX_[4597] * vX_[668];
+ vX_[2826] = 0 - vX_[4597];
+ vX_[4828] = vX_[4599] * vX_[1083] + vX_[4457] * vX_[602] + vX_[2853] * vX_[725] + vX_[2842] * vX_[666] +
+ vX_[4828] * vX_[668];
+ vX_[2842] = 0 - vX_[4828];
+ vX_[4594] = vX_[4600] * vX_[1083] + vX_[4449] * vX_[602] + vX_[2651] * vX_[725] + vX_[2837] * vX_[666] +
+ vX_[4594] * vX_[668];
+ vX_[2837] = 0 - vX_[4594];
+ vX_[4756] = vX_[4601] * vX_[1083] + vX_[4433] * vX_[602] + vX_[2862] * vX_[725] + vX_[2832] * vX_[666] +
+ vX_[4756] * vX_[668];
+ vX_[2832] = 0 - vX_[4756];
+ vX_[2862] = 0 - vX_[4576] * vX_[1083] - vX_[4577] * vX_[602] - vX_[4586] * vX_[725] - vX_[4583] * vX_[666] -
+ vX_[4580] * vX_[668];
+ vX_[4433] = 0 - vX_[2862];
+ vX_[4560] = (vX_[4560] * vX_[3689] + vX_[2826] * vX_[510] + vX_[2842] * vX_[518] + vX_[2837] * vX_[690] +
+ vX_[2832] * vX_[628] + vX_[4433] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4601] = 0 - vX_[4607] * vX_[1426] - vX_[4146] * vX_[620] - vX_[2845] * vX_[723] - vX_[2841] * vX_[590] -
+ vX_[2833] * vX_[624] - vX_[4560] * vX_[637];
+ vX_[2651] = vX_[4170] - vX_[4601];
+ vX_[4449] = vX_[4580] + vX_[4756];
+ vX_[4600] = vX_[2651] * vX_[487] + vX_[4449] * vX_[485];
+ vX_[2853] = vX_[2862] - vX_[4601];
+ vX_[4457] = vX_[2853] * vX_[487];
+ vX_[4599] = vX_[2651] * vX_[473] + vX_[4449] * vX_[487];
+ vX_[2858] = vX_[2853] * vX_[485];
+ vX_[4918] = vX_[4599] + vX_[2858];
+ vX_[4598] = vX_[4600] * vX_[473] + vX_[4457] * vX_[485] + vX_[4918] * vX_[487];
+ vX_[2829] = 0 - vX_[4598];
+ vX_[2824] = vX_[4601] + vX_[4599] * vX_[473] + vX_[4457] * vX_[487];
+ vX_[2810] = 0 - vX_[2824];
+ vX_[2812] = vX_[4601] + vX_[4600] * vX_[487] + vX_[2858] * vX_[485];
+ vX_[2842] = vX_[4603] * vX_[1426] + vX_[4927] * vX_[620] + vX_[4140] * vX_[723] + vX_[2846] * vX_[590] +
+ vX_[4899] * vX_[624] + vX_[2842] * vX_[637];
+ vX_[4899] = vX_[2845] + vX_[2842];
+ vX_[2846] = vX_[4583] + vX_[4594] - vX_[4899];
+ vX_[2826] = vX_[4602] * vX_[1426] + vX_[4018] * vX_[620] + vX_[4144] * vX_[723] + vX_[2835] * vX_[590] +
+ vX_[4592] * vX_[624] + vX_[2826] * vX_[637];
+ vX_[4592] = vX_[4146] + vX_[2826];
+ vX_[2835] = 0 - (vX_[4584] + vX_[4595]) + vX_[4592];
+ vX_[4144] = (vX_[4592] * vX_[473] + vX_[4899] * vX_[487]) * -1;
+ vX_[4018] = 0 - (vX_[2846] * vX_[487] + vX_[2835] * vX_[485]) + vX_[4144];
+ vX_[4602] = vX_[4018] + vX_[2824] * vX_[474];
+ vX_[4140] = 0 - vX_[4602];
+ vX_[4927] = (vX_[4592] * vX_[487] + vX_[4899] * vX_[485]) * -1;
+ vX_[4603] = vX_[2846] * vX_[473] + vX_[2835] * vX_[487] + vX_[4927];
+ vX_[2828] = 0 - vX_[2812];
+ vX_[2811] = vX_[4603] + vX_[4598] * vX_[474] + vX_[2828] * vX_[393];
+ vX_[2756] = vX_[4587] + vX_[4824];
+ vX_[2751] = vX_[4582] + vX_[4812];
+ vX_[2737] = vX_[2756] * vX_[485] + vX_[2751] * vX_[487];
+ vX_[2739] = vX_[4577] + vX_[4597];
+ vX_[2755] = vX_[4586] + vX_[4828];
+ vX_[2738] = vX_[2739] * vX_[487] + vX_[2755] * vX_[485];
+ vX_[2683] = vX_[2737] * vX_[473] + vX_[2738] * vX_[487];
+ vX_[4433] = vX_[4606] * vX_[1426] + vX_[4413] * vX_[620] + vX_[2854] * vX_[723] + vX_[2578] * vX_[590] +
+ vX_[4593] * vX_[624] + vX_[4433] * vX_[637];
+ vX_[4593] = vX_[4560] + vX_[4433];
+ vX_[2832] = vX_[4605] * vX_[1426] + vX_[3998] * vX_[620] + vX_[2863] * vX_[723] + vX_[2839] * vX_[590] +
+ vX_[4912] * vX_[624] + vX_[2832] * vX_[637];
+ vX_[4912] = vX_[2833] + vX_[2832];
+ vX_[2839] = 0 - vX_[4912];
+ vX_[2863] = vX_[4593] * vX_[487] + vX_[2839] * vX_[485];
+ vX_[3998] = 0 - vX_[2863];
+ vX_[4605] = vX_[2683] + vX_[3998] * vX_[393] + vX_[2810] * vX_[489];
+ vX_[2578] = 0 - vX_[4605];
+ vX_[2854] = vX_[2756] * vX_[487] + vX_[2751] * vX_[473];
+ vX_[4413] = vX_[2739] * vX_[473] + vX_[2755] * vX_[487];
+ vX_[4606] = vX_[2854] * vX_[487] + vX_[4413] * vX_[485];
+ vX_[4912] = 0 - vX_[4912];
+ vX_[2678] = vX_[4593] * vX_[473] + vX_[4912] * vX_[487];
+ vX_[2664] = 0 - vX_[2678];
+ vX_[2666] = vX_[4606] + vX_[2664] * vX_[474] + vX_[2812] * vX_[489];
+ vX_[2682] = vX_[2854] * vX_[473] + vX_[4413] * vX_[487];
+ vX_[2665] = vX_[2682] + vX_[2863] * vX_[474];
+ vX_[2610] = vX_[2737] * vX_[487] + vX_[2738] * vX_[485];
+ vX_[2605] = vX_[2610] + vX_[2678] * vX_[393] + vX_[2829] * vX_[489];
+ vX_[2591] = 0 - vX_[2665] + vX_[2605];
+ vX_[2593] = 0 - vX_[4598];
+ vX_[2609] = 0 - vX_[2824];
+ vX_[2810] = vX_[2829] * vX_[611] + vX_[2810] * vX_[556] + vX_[2812] * vX_[452] + vX_[4140] * vX_[490] +
+ vX_[2811] * vX_[501] + vX_[2578] * vX_[481] + vX_[2666] * vX_[475] + vX_[2591] * vX_[472] +
+ vX_[2593] * vX_[608] + vX_[4598] * vX_[605] + vX_[2609] * vX_[555] + vX_[2812] * vX_[559];
+ vX_[2829] = 0 - vX_[4428];
+ vX_[2592] = vX_[4841] * 0.881 + (0 - vX_[4858]) * 0.1104774 + vX_[4860] * 0.0004405;
+ vX_[2508] = vX_[4852] * 0.00185880198235362 + vX_[4854] * 0.880992588508842 + vX_[4858] * -8.81e-05;
+ vX_[2498] = vX_[2829] * vX_[1305] + vX_[2592] * vX_[46] + vX_[2508] * x_in[26];
+ vX_[4511] = 0 - vX_[4460] + vX_[4508] - vX_[4511];
+ vX_[4508] = 0 - vX_[2592];
+ vX_[4460] = vX_[4852] * 0.414812462825713 + vX_[4854] * 0.00185880198235362 + vX_[4860] * 8.81e-05;
+ vX_[2509] = vX_[4511] * vX_[1305] + vX_[4508] * vX_[42] - vX_[4460] * x_in[26];
+ vX_[2506] = 0 - vX_[4527];
+ vX_[2502] = vX_[4839] * 3.146 + (0 - vX_[4840]) * 0.47422804 + vX_[4850] * -0.0825825;
+ vX_[2492] = vX_[4567] + vX_[4843] * vX_[449] + vX_[4844] * vX_[448] + vX_[4840] * vX_[425] + vX_[4850] * vX_[420];
+ vX_[2505] = vX_[2498] * vX_[395] + vX_[2509] * vX_[397] + vX_[2506] * vX_[1233] + vX_[2502] * vX_[15] +
+ vX_[2492] * x_in[25];
+ vX_[4738] = 0 - vX_[4884] + vX_[4738];
+ vX_[4884] = 0 - vX_[2502];
+ vX_[2500] = vX_[4565] + vX_[4843] * vX_[447] + vX_[4844] * vX_[449] + vX_[4840] * vX_[431] + vX_[4850] * vX_[430];
+ vX_[2495] = vX_[2498] * vX_[1690] + vX_[2509] * vX_[395] + vX_[4738] * vX_[1233] + vX_[4884] * vX_[43] -
+ vX_[2500] * x_in[25];
+ vX_[2397] = vX_[4798] * -3.44;
+ vX_[2504] = vX_[4822] * 0.1466472;
+ vX_[2496] = vX_[4837] * 0.5824264;
+ vX_[2487] = 0 - vX_[2397] + vX_[2504] - vX_[2496];
+ vX_[2477] = 0 - vX_[4910];
+ vX_[2488] = vX_[4563] + vX_[4826] * vX_[501] + vX_[4798] * vX_[475] + vX_[4832] * vX_[472] + vX_[4835] * vX_[605] +
+ vX_[4837] * vX_[553];
+ vX_[2485] = vX_[2505] * vX_[1686] + vX_[2495] * vX_[421] + vX_[2487] * vX_[10] + vX_[2477] * vX_[1882] -
+ vX_[2488] * x_in[24];
+ vX_[2481] = vX_[4170] + vX_[2862] + vX_[4601] - vX_[2824] - vX_[2812];
+ vX_[2471] = 0 - vX_[2481];
+ vX_[4144] = vX_[4144] + vX_[2471] * vX_[474];
+ vX_[4927] = vX_[4927] + vX_[2481] * vX_[393];
+ vX_[2484] = 0 - vX_[2811];
+ vX_[2479] = 0 - vX_[2666];
+ vX_[2837] = vX_[4604] * vX_[1426] + vX_[4171] * vX_[620] + vX_[2919] * vX_[723] + vX_[2843] * vX_[590] +
+ vX_[4935] * vX_[624] + vX_[2837] * vX_[637];
+ vX_[4935] = vX_[2841] + vX_[2837] + vX_[2751] + vX_[2755] - vX_[2682] - vX_[2610];
+ vX_[2605] = vX_[4935] - vX_[2605];
+ vX_[2843] = 0 - vX_[2863];
+ vX_[2919] = 0 - vX_[4598];
+ vX_[4171] = 0 - vX_[2812];
+ vX_[4604] = vX_[4751] - vX_[4596];
+ vX_[2474] = vX_[4163] - vX_[4596];
+ vX_[2324] = vX_[4590] + vX_[4811];
+ vX_[2483] = vX_[4588] + vX_[4034];
+ vX_[2475] = vX_[4585] + vX_[3753];
+ vX_[2466] = 0 - vX_[2475];
+ vX_[2456] = vX_[4604] * vX_[487] + vX_[2324] * vX_[485];
+ vX_[2467] = vX_[2474] * vX_[487];
+ vX_[2464] = vX_[4604] * vX_[473] + vX_[2324] * vX_[487];
+ vX_[2460] = vX_[2474] * vX_[485];
+ vX_[2450] = vX_[2464] + vX_[2460];
+ vX_[2463] = vX_[4841] * 0.0004405 + vX_[4852] * -8.81e-05 + vX_[4860] * -0.000227999999999999;
+ vX_[2458] = vX_[4841] * 0.1104774 + vX_[4854] * -8.81e-05 + (0 - vX_[4858]) * 0.025713;
+ vX_[2453] = (0 - vX_[4852]) * 0.0004405;
+ vX_[2251] = (0 - vX_[4854]) * 0.1104774;
+ vX_[2462] = vX_[2453] + vX_[2251];
+ vX_[2462] = vX_[2829] * vX_[1931] + vX_[4511] * vX_[1617] + vX_[2463] * vX_[42] + vX_[2458] * vX_[46] +
+ vX_[2462] * vX_[1305] + vX_[2462] * vX_[1305];
+ vX_[4511] = vX_[4839] * -0.0825825 + (0 - vX_[4845]) * 0.000102 + vX_[4840] * 0.007418 + vX_[4850] * 0.002735;
+ vX_[2829] = vX_[4839] * 0.47422804 + vX_[4845] * 2.1e-05 + (0 - vX_[4840]) * 0.084376 + (0 - vX_[4850]) * 0.007418;
+ vX_[2454] = (0 - vX_[4843]) * -0.0825825;
+ vX_[2445] = (0 - vX_[4844]) * 0.47422804;
+ vX_[2435] = vX_[4840] * 0.000102;
+ vX_[2446] = (0 - vX_[4850]) * 2.1e-05;
+ vX_[2443] = vX_[2454] + vX_[2445] + vX_[2435] + vX_[2446];
+ vX_[2443] = vX_[2462] + vX_[2498] * vX_[1698] + vX_[2509] * vX_[400] + vX_[2506] * vX_[1145] +
+ vX_[4738] * vX_[916] + vX_[4511] * vX_[43] + vX_[2829] * vX_[15] + vX_[2443] * vX_[1233] +
+ vX_[2443] * vX_[1233];
+ vX_[4738] = vX_[4798] * 0.5824264 + (0 - vX_[4822]) * -0.022734 + vX_[4835] * -3.6e-05 + vX_[4837] * -0.133138;
+ vX_[2506] = vX_[4798] * 0.1466472 + vX_[4822] * 0.009466 + (0 - vX_[4835]) * -5.1e-05 + vX_[4837] * -0.022734;
+ vX_[2439] = (0 - vX_[4826]) * 0.5824264;
+ vX_[2426] = (0 - vX_[4832]) * 0.1466472;
+ vX_[2442] = (0 - vX_[4822]) * -3.6e-05;
+ vX_[2437] = (0 - vX_[4837]) * -5.1e-05;
+ vX_[2432] = vX_[2439] + vX_[2426] + vX_[2442] - vX_[2437];
+ vX_[2178] = vX_[4575] + vX_[4826] * vX_[506] + vX_[4798] * vX_[553] + vX_[4832] * vX_[608] + vX_[4835] * vX_[607] +
+ vX_[4837] * vX_[469];
+ vX_[2432] = vX_[2505] * vX_[1687] + vX_[2495] * vX_[439] + vX_[2443] * -1 + vX_[4919] * vX_[5] +
+ vX_[2477] * vX_[1543] + vX_[4738] * vX_[10] + vX_[2506] * vX_[2916] + vX_[2432] * vX_[1882] +
+ vX_[2432] * vX_[1882] + vX_[2178] * x_in[24];
+ vX_[4856] = vX_[4852] * 0.1104774 + vX_[4854] * 0.0004405 + vX_[4856] * 0.025941;
+ vX_[2477] = (0 - vX_[4841]) * -8.81e-05;
+ vX_[2251] = vX_[2477] + vX_[2251];
+ vX_[4860] = vX_[4841] * 0.0004405 + vX_[4852] * 8.81e-05 + vX_[4860] * 0.000468;
+ vX_[2251] = vX_[4428] * vX_[4114] + vX_[4508] * vX_[1617] + vX_[2463] * vX_[1305] + vX_[4856] * vX_[46] +
+ vX_[2251] * vX_[42] + vX_[2251] * vX_[42] + vX_[4860] * x_in[26];
+ vX_[2477] = vX_[2477] + vX_[2453];
+ vX_[4858] = vX_[4841] * -0.1104774 + vX_[4854] * -8.81e-05 + vX_[4858] * 0.026409;
+ vX_[2477] = vX_[4175] * vX_[4114] + vX_[2592] * vX_[1931] + vX_[2458] * vX_[1305] + vX_[4856] * vX_[42] +
+ vX_[2477] * vX_[46] + vX_[2477] * vX_[46] - vX_[4858] * x_in[26];
+ vX_[4856] = vX_[4843] * 0.47422804 + vX_[4844] * -0.0825825 + vX_[4845] * 0.081641 + (0 - vX_[4840]) * 2.1e-05 +
+ vX_[4850] * 0.000102;
+ vX_[2458] = (0 - vX_[4845]) * 0.007418;
+ vX_[2446] = vX_[2445] + vX_[2458] - vX_[2446];
+ vX_[2445] = vX_[4559] + vX_[4839] * vX_[415] + vX_[4843] * vX_[430] + vX_[4844] * vX_[420] + vX_[4840] * vX_[464] +
+ vX_[4850] * vX_[460];
+ vX_[2446] = vX_[4519] * -0.35 + vX_[2251] * vX_[395] + vX_[2477] * vX_[397] + vX_[4527] * vX_[4117] +
+ vX_[4884] * vX_[916] + vX_[4511] * vX_[1233] + vX_[4856] * vX_[15] + vX_[2446] * vX_[43] +
+ vX_[2446] * vX_[43] + vX_[2445] * x_in[25];
+ vX_[2458] = vX_[2454] - vX_[2458] - vX_[2435];
+ vX_[2435] = vX_[4557] + vX_[4839] * vX_[427] + vX_[4843] * vX_[431] + vX_[4844] * vX_[425] + vX_[4840] * vX_[458] +
+ vX_[4850] * vX_[464];
+ vX_[2458] = vX_[2251] * vX_[398] + vX_[2477] * vX_[395] + vX_[5767] * vX_[4117] + vX_[2502] * vX_[1145] +
+ vX_[2829] * vX_[1233] + vX_[4856] * vX_[43] + vX_[2458] * vX_[15] + vX_[2458] * vX_[15] -
+ vX_[2435] * x_in[25];
+ vX_[2496] = vX_[2397] - vX_[2504] + vX_[2496];
+ vX_[2504] = vX_[4826] * 0.1466472 + vX_[4832] * 0.5824264 + vX_[4822] * -5.1e-05 + (0 - vX_[4835]) * -0.123672 +
+ (0 - vX_[4837]) * -3.6e-05;
+ vX_[2397] = vX_[4835] * -0.022734;
+ vX_[2442] = vX_[2439] - vX_[2442] - vX_[2397];
+ vX_[2439] = vX_[4573] + vX_[4826] * vX_[443] + vX_[4798] * vX_[605] + vX_[4832] * vX_[554] + vX_[4835] * vX_[552] +
+ vX_[4837] * vX_[607];
+ vX_[2442] = vX_[2446] * vX_[433] + vX_[2458] * vX_[421] + vX_[2496] * vX_[5] + vX_[4910] * vX_[4129] +
+ vX_[2504] * vX_[10] + vX_[2506] * vX_[1882] + vX_[2442] * vX_[2916] + vX_[2442] * vX_[2916] -
+ vX_[2439] * x_in[24];
+ vX_[4887] = vX_[4887] * vX_[2082];
+ vX_[2506] = vX_[4887] * vX_[395];
+ vX_[4888] = vX_[4888] * vX_[2082];
+ vX_[4910] = vX_[4888] * vX_[1702];
+ vX_[4889] = vX_[4889] * vX_[2082];
+ vX_[4856] = 0 - vX_[4889];
+ vX_[4859] = vX_[4859] * vX_[2077];
+ vX_[2829] = vX_[4859] * vX_[395];
+ vX_[2502] = vX_[4859] * vX_[1702];
+ vX_[5767] = 0 - vX_[2502];
+ vX_[4875] = vX_[4875] * vX_[2089];
+ vX_[2454] = vX_[4875] * vX_[1702];
+ vX_[4863] = vX_[4863] * vX_[1911];
+ vX_[4511] = vX_[4863] * vX_[395];
+ vX_[4861] = vX_[4861] * vX_[2077];
+ vX_[4884] = vX_[4861] * vX_[395];
+ vX_[4527] = vX_[4861] * vX_[1702];
+ vX_[4519] = vX_[4875] * vX_[395];
+ vX_[4876] = vX_[4876] * vX_[2089];
+ vX_[2592] = 0 - vX_[4876];
+ vX_[4175] = vX_[2592] * vX_[395];
+ vX_[4854] = vX_[4876] * vX_[1702];
+ vX_[4841] = vX_[4887] + vX_[4863];
+ vX_[4864] = vX_[4864] * vX_[1911];
+ vX_[2453] = 0 - vX_[4888] - vX_[4864];
+ vX_[2463] = vX_[4841] * vX_[1702] + vX_[2453] * vX_[395];
+ vX_[4508] = vX_[4864] * vX_[1702];
+ vX_[4881] = vX_[4881] * vX_[2089] + vX_[4869] * vX_[2077];
+ vX_[4869] = 0 - vX_[4881];
+ vX_[4428] = 0 - vX_[4881];
+ vX_[4852] = vX_[4428] * vX_[395];
+ vX_[2441] = vX_[4881] * vX_[1702];
+ vX_[2433] = vX_[4882] * vX_[1830] + vX_[4964] * vX_[1782] + vX_[4967] * vX_[1814];
+ vX_[2429] = 0 - vX_[2433];
+ vX_[2424] = vX_[4882] * vX_[1920] + vX_[4964] * vX_[1815] + vX_[4967] * vX_[1776];
+ vX_[2410] = vX_[2429] * x_in[18] + vX_[2424] * x_in[19];
+ vX_[2412] = 0 - vX_[2410];
+ vX_[2428] = 0 - vX_[2410];
+ vX_[2411] = vX_[2428] * vX_[395];
+ vX_[2356] = vX_[2410] * vX_[1702];
+ vX_[4882] = vX_[4882] * vX_[1812] + vX_[4964] * vX_[1831] + vX_[4967] * vX_[1921];
+ jac[925] = vX_[2500] * vX_[1708] + vX_[2492] * vX_[1145] + vX_[2435] * vX_[2090] + vX_[2445] * vX_[43] + vX_[2443] +
+ vX_[4882] * vX_[1835] + vX_[2433] * vX_[1788] + vX_[2424] * vX_[1821];
+ jac[961] = vX_[4460] * vX_[1739] + vX_[2508] * vX_[1931] + vX_[4858] * vX_[6] + vX_[4860] * vX_[42] + vX_[2462] +
+ vX_[4882] * vX_[1845] + vX_[2433] * vX_[1799] + vX_[2424] * vX_[1818];
+ vX_[4858] = vX_[4882] * x_in[26];
+ vX_[4860] = vX_[4858] * vX_[395];
+ vX_[2462] = vX_[4858] * vX_[1702];
+ vX_[4460] = vX_[4882] * x_in[25];
+ vX_[2508] = vX_[2433] * x_in[24];
+ vX_[2435] = 0 - vX_[2508];
+ vX_[2445] = vX_[4460] * vX_[395];
+ vX_[2443] = 0 - vX_[2508];
+ vX_[2500] = vX_[2443] * vX_[395];
+ vX_[2492] = vX_[4460] * vX_[1702];
+ vX_[4967] = vX_[2508] * vX_[1702];
+ vX_[4964] = vX_[4893] * vX_[1876];
+ vX_[2351] = 0 - vX_[4964];
+ vX_[2337] = 0 - vX_[4964];
+ vX_[2339] = vX_[2337] * vX_[395];
+ vX_[2355] = vX_[4964] * vX_[1702];
+ vX_[2338] = 0 - vX_[4144];
+ vX_[2283] = 0 - vX_[4927];
+ vX_[4935] = 0 - vX_[4935] + vX_[2665];
+ vX_[2665] = 0 - vX_[2678];
+ vX_[2475] = 0 - vX_[2475];
+ vX_[4853] = vX_[4853] * vX_[2077];
+ vX_[2278] = vX_[4853] * vX_[1702];
+ vX_[4855] = vX_[4855] * vX_[2077];
+ vX_[2264] = 0 - vX_[4855];
+ vX_[2266] = vX_[2264] * vX_[395];
+ vX_[4857] = vX_[4857] * vX_[2077];
+ vX_[2282] = 0 - vX_[4857];
+ vX_[4874] = vX_[4874] * vX_[2089];
+ vX_[4890] = vX_[4890] * vX_[2082];
+ vX_[2265] = vX_[4890] * vX_[395];
+ vX_[2210] = vX_[4890] * vX_[1702];
+ vX_[4879] = vX_[4879] * vX_[2079];
+ vX_[2205] = vX_[4879] * vX_[1702];
+ vX_[4891] = vX_[4891] * vX_[2082];
+ vX_[2191] = vX_[4891] * vX_[395];
+ vX_[2193] = 0 - vX_[2191];
+ vX_[2209] = vX_[4891] * vX_[1702];
+ vX_[4880] = vX_[4880] * vX_[2079];
+ vX_[2192] = 0 - vX_[4880];
+ vX_[2104] = vX_[2192] * vX_[395];
+ vX_[2097] = vX_[4853] + vX_[4879];
+ vX_[4880] = vX_[4855] + vX_[4880];
+ vX_[4855] = vX_[2097] * vX_[395] + vX_[4880] * vX_[1702];
+ vX_[4877] = vX_[4877] * vX_[2089] + vX_[4868] * vX_[2082];
+ vX_[4868] = 0 - vX_[4877];
+ vX_[2105] = 0 - vX_[4877];
+ vX_[2102] = vX_[2105] * vX_[395];
+ vX_[2101] = vX_[4877] * vX_[1702];
+ vX_[2076] = 0 - vX_[2424];
+ vX_[2100] = vX_[4882] * x_in[18] + vX_[2076] * x_in[20];
+ vX_[2095] = 0 - vX_[2100];
+ vX_[2093] = vX_[2100] * vX_[1702];
+ vX_[1762] = vX_[4882] * x_in[24];
+ vX_[2099] = vX_[1762] * vX_[1702];
+ vX_[2094] = vX_[2433] * x_in[26];
+ vX_[2072] = vX_[2094] * vX_[395];
+ vX_[2065] = vX_[2094] * vX_[1702];
+ vX_[2073] = vX_[2433] * x_in[25];
+ vX_[2070] = vX_[1762] * vX_[395];
+ vX_[2069] = vX_[2073] * vX_[395];
+ vX_[2044] = vX_[2073] * vX_[1702];
+ vX_[2068] = vX_[4893] * vX_[1866];
+ vX_[2063] = 0 - vX_[2068];
+ vX_[2061] = 0 - vX_[2100];
+ vX_[1450] = 0 - vX_[2068];
+ vX_[2067] = vX_[2061] * vX_[395] + vX_[1450] * vX_[395];
+ vX_[2062] = vX_[2068] * vX_[1702];
+ jac[241] =
+ 0 -
+ (0 - (vX_[4563] * vX_[4013] + vX_[4589] * vX_[4135] + vX_[4737] * x_in[22]) +
+ (vX_[4563] * vX_[5604] + vX_[4581] * vX_[4135] + vX_[2810] * vX_[487] + vX_[4737] * x_in[20]) * -0.3735 -
+ (vX_[4569] * vX_[4885] + vX_[4591] * vX_[3739] + vX_[2485] * x_in[23]) +
+ (vX_[4569] * vX_[4518] + vX_[4576] * vX_[3739] + vX_[2485] * x_in[19]) * 0.3735 +
+ (vX_[4569] * vX_[4368] + vX_[4607] * vX_[3739] +
+ (vX_[3998] * vX_[556] + vX_[2678] * vX_[611] + vX_[2481] * vX_[500] + vX_[2828] * vX_[502] +
+ vX_[4144] * vX_[472] + vX_[4927] * vX_[481] + vX_[2484] * vX_[484] + vX_[2479] * vX_[501] +
+ vX_[2605] * vX_[490] + vX_[2843] * vX_[554] + vX_[2678] * vX_[608] + vX_[2919] * vX_[443] +
+ vX_[4171] * vX_[561]) *
+ -1 +
+ vX_[2485] * x_in[18]) *
+ -0.207 -
+ (vX_[4573] * vX_[4518] + vX_[4575] * vX_[5604] + vX_[4581] * vX_[1456] + vX_[4576] * vX_[1893] +
+ vX_[4604] * vX_[719] + vX_[2474] * vX_[717] + vX_[2324] * vX_[715] + vX_[2483] * vX_[688] +
+ vX_[2466] * vX_[490] + vX_[2456] * vX_[696] + vX_[2467] * vX_[695] + vX_[2450] * vX_[472] +
+ vX_[2756] * vX_[680] + vX_[2739] * vX_[658] + vX_[4592] * vX_[508] + vX_[4899] * vX_[498] +
+ vX_[2751] * vX_[681] + vX_[2755] * vX_[661] + vX_[2854] * vX_[659] + vX_[2737] * vX_[610] +
+ vX_[4413] * vX_[660] + vX_[2738] * vX_[657] + vX_[2846] * vX_[497] + vX_[2835] * vX_[507] +
+ vX_[2651] * vX_[617] + vX_[2853] * vX_[615] + vX_[4449] * vX_[613] + vX_[4593] * vX_[634] +
+ vX_[4912] * vX_[635] + vX_[4600] * vX_[562] + vX_[4457] * vX_[558] + vX_[4918] * vX_[612] +
+ vX_[2810] * vX_[488] + vX_[2432] * x_in[19] + vX_[2442] * x_in[20]) +
+ vX_[4842] * vX_[2077] + vX_[4878] * vX_[2079] + vX_[2506] * vX_[394] + vX_[4910] * vX_[394] +
+ vX_[4856] * vX_[394] * 0.35 + vX_[4889] * 0.3735 + vX_[2829] * 0.35 + vX_[2829] * vX_[421] * 0.08 +
+ vX_[2829] * vX_[394] * -0.3735 + vX_[5767] * vX_[421] * 0.3735 + vX_[2502] * vX_[394] * -0.08 +
+ vX_[2454] * vX_[421] * 0.207 + vX_[4511] * vX_[394] + vX_[4884] * vX_[421] * 0.3735 +
+ vX_[4884] * vX_[394] * 0.08 + vX_[4527] * 0.35 + vX_[4527] * vX_[394] * -0.3735 +
+ (vX_[4519] * vX_[394] + vX_[4175] * vX_[421]) * 0.207 + vX_[4854] * vX_[394] * 0.207 +
+ vX_[2463] * vX_[421] + vX_[4508] * vX_[394] + (vX_[4527] * vX_[421] - vX_[4881]) * 0.08 +
+ vX_[4869] * vX_[421] * 0.35 + vX_[4852] * vX_[421] * 0.33 + vX_[2441] * vX_[394] * 0.33 +
+ (0 - vX_[2410]) * 0.08 + vX_[2412] * vX_[421] * 0.35 + vX_[2411] * vX_[421] * 0.33 +
+ vX_[2356] * vX_[394] * 0.33 + vX_[4860] * vX_[394] * 0.33 + vX_[2462] * vX_[421] * 0.33 +
+ vX_[4460] * vX_[394] * 0.35 + (0 - vX_[2508]) * 0.08 + vX_[2435] * vX_[421] * 0.35 +
+ (vX_[2445] * vX_[394] + vX_[2500] * vX_[421]) * 0.33 +
+ (vX_[2492] * vX_[421] + vX_[4967] * vX_[394]) * 0.33 + (0 - vX_[4964]) * 0.08 +
+ vX_[2351] * vX_[421] * 0.35 + vX_[2339] * vX_[421] * 0.33 + vX_[2355] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[4563] * vX_[4885] + vX_[4573] * vX_[5604] + vX_[4591] * vX_[4135] + vX_[4581] * vX_[1893] +
+ vX_[4604] * vX_[715] + vX_[2483] * vX_[490] + vX_[2464] * vX_[695] + vX_[2456] * vX_[472] +
+ vX_[2739] * vX_[661] + vX_[4592] * vX_[498] + vX_[2751] * vX_[680] + vX_[2854] * vX_[660] +
+ vX_[2737] * vX_[657] + vX_[2846] * vX_[507] + vX_[2651] * vX_[613] + vX_[4593] * vX_[635] +
+ vX_[4599] * vX_[558] + vX_[4600] * vX_[612] +
+ (vX_[2863] * vX_[609] + vX_[2664] * vX_[452] + vX_[4598] * vX_[502] + vX_[2471] * vX_[476] +
+ vX_[2824] * vX_[491] + vX_[2338] * vX_[475] + vX_[4602] * vX_[484] + vX_[2283] * vX_[472] +
+ vX_[4605] * vX_[490] + vX_[4935] * vX_[501] + vX_[2863] * vX_[605] + vX_[2665] * vX_[553] +
+ vX_[4598] * vX_[506] + vX_[2824] * vX_[550]) *
+ 0.207 +
+ vX_[4737] * x_in[23] + vX_[2432] * x_in[20] +
+ (vX_[4563] * vX_[4518] + vX_[4576] * vX_[4135] + vX_[2810] * vX_[485] + vX_[4737] * x_in[19]) * -0.3735 +
+ (vX_[4563] * vX_[4368] + vX_[4607] * vX_[4135] + vX_[4737] * x_in[18]) * 0.207 -
+ (vX_[4569] * vX_[4013] + vX_[4589] * vX_[3739] + vX_[2485] * x_in[22]) +
+ (vX_[4569] * vX_[5604] + vX_[4581] * vX_[3739] + vX_[2485] * x_in[20]) * -0.3735 -
+ (vX_[4575] * vX_[4518] + vX_[4576] * vX_[1456] + vX_[2474] * vX_[716] + vX_[2324] * vX_[719] +
+ vX_[2475] * vX_[688] + vX_[2467] * vX_[472] + vX_[2460] * vX_[696] + vX_[2756] * vX_[681] +
+ vX_[4899] * vX_[508] + vX_[2755] * vX_[658] + vX_[4413] * vX_[659] + vX_[2738] * vX_[610] +
+ vX_[2835] * vX_[497] + vX_[2853] * vX_[614] + vX_[4449] * vX_[617] + vX_[2839] * vX_[634] +
+ vX_[4457] * vX_[612] + vX_[2858] * vX_[562] + vX_[2810] * vX_[486] + vX_[2442] * x_in[19]) -
+ vX_[4886] * vX_[2082] + vX_[2278] * vX_[421] + vX_[2266] * vX_[421] + vX_[2282] * vX_[394] * 0.35 +
+ vX_[4857] * 0.3735 + (0 - vX_[4874]) * 0.207 - vX_[4862] * vX_[1911] + (0 - vX_[2265]) * 0.35 +
+ (0 - vX_[2265] * vX_[421]) * 0.08 + vX_[2265] * vX_[394] * 0.3735 + vX_[2210] * vX_[421] * 0.3735 +
+ vX_[2210] * vX_[394] * 0.08 + vX_[2205] * vX_[421] + vX_[2193] * vX_[421] * 0.3735 +
+ (0 - vX_[2191] * vX_[394]) * 0.08 + (0 - vX_[2209]) * 0.35 + (0 - vX_[2209] * vX_[421]) * 0.08 +
+ vX_[2209] * vX_[394] * 0.3735 + vX_[2104] * vX_[421] + vX_[4855] * vX_[394] + (0 - vX_[4877]) * 0.08 +
+ vX_[4868] * vX_[421] * 0.35 + vX_[2102] * vX_[421] * 0.33 + vX_[2101] * vX_[394] * 0.33 +
+ (0 - vX_[2100]) * 0.08 + vX_[2095] * vX_[421] * 0.35 + vX_[2093] * vX_[394] * 0.33 + vX_[1762] * 0.08 +
+ vX_[1762] * vX_[421] * 0.35 + vX_[2099] * vX_[394] * -0.33 + vX_[2072] * vX_[394] * 0.33 +
+ vX_[2065] * vX_[421] * 0.33 + vX_[2073] * vX_[394] * 0.35 +
+ (vX_[2070] * vX_[421] + vX_[2069] * vX_[394]) * 0.33 + vX_[2044] * vX_[421] * 0.33 +
+ (0 - vX_[2068]) * 0.08 + vX_[2063] * vX_[421] * 0.35 + vX_[2067] * vX_[421] * 0.33 +
+ vX_[2062] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[4857] = vX_[5283] * 0.881 + (0 - vX_[5285]) * 0.0004405 + vX_[5287] * -8.81e-05;
+ vX_[4889] = vX_[5281] * -0.881;
+ vX_[2324] = vX_[5285] * 0.1104774;
+ vX_[2474] = vX_[5289] * -8.81e-05;
+ vX_[4604] = vX_[4889] - vX_[2324] + vX_[2474];
+ vX_[2471] = vX_[4857] * vX_[42] + vX_[4604] * vX_[46];
+ vX_[2481] = vX_[5273] * 3.146 + (0 - vX_[5274]) * -0.0825825;
+ vX_[2810] = vX_[5272] * -3.146;
+ vX_[2664] = vX_[5274] * 0.47422804;
+ vX_[4912] = vX_[2810] - vX_[2664];
+ vX_[4413] = vX_[2471] + vX_[2481] * vX_[43] + vX_[4912] * vX_[15];
+ vX_[2854] = vX_[5261] * 3.44 + vX_[5264] * 0.5824264;
+ vX_[3998] = 0 - vX_[2854];
+ vX_[2839] = vX_[5255] * 3.44 + (0 - vX_[5264]) * 0.1466472;
+ vX_[4593] = vX_[4999] + vX_[5255] * vX_[490] + vX_[5227] * vX_[472] + vX_[5261] * vX_[481] + vX_[5264] * vX_[554] +
+ vX_[5266] * vX_[608];
+ vX_[2738] = vX_[4413] * -1 + vX_[3998] * vX_[10] + vX_[2839] * vX_[2916] + vX_[4593] * x_in[24];
+ vX_[2755] = 0 - vX_[5020] * vX_[4116];
+ vX_[2739] = 0 - vX_[2755];
+ vX_[2737] = 0 - vX_[2755];
+ vX_[5019] = (vX_[5019] * vX_[4116] + vX_[2737] * vX_[743]) * 1 / vX_[718];
+ vX_[2751] = 0 - vX_[5019];
+ vX_[2756] = 0 - vX_[2755];
+ vX_[2828] = 0 - vX_[5019];
+ vX_[5014] = (vX_[5014] * vX_[4116] + vX_[2756] * vX_[689] + vX_[2828] * vX_[736]) * 1 / vX_[721];
+ vX_[2835] = 0 - vX_[5014];
+ vX_[5011] =
+ (vX_[5011] * vX_[4116] + vX_[2739] * vX_[682] + vX_[2751] * vX_[730] + vX_[2835] * vX_[509]) * 1 / vX_[618];
+ vX_[2737] = vX_[5021] * vX_[1853] + vX_[2737] * vX_[712];
+ vX_[5021] = 0 - vX_[2737];
+ vX_[4592] = 0 - vX_[5018] * vX_[1853] - vX_[5019] * vX_[712];
+ vX_[2846] = 0 - vX_[4592];
+ vX_[4899] = 0 - vX_[2737];
+ vX_[4918] = 0 - vX_[4592];
+ vX_[5017] = (vX_[5017] * vX_[4108] + vX_[4899] * vX_[689] + vX_[4918] * vX_[736]) * 1 / vX_[721];
+ vX_[2858] = 0 - vX_[5017];
+ vX_[5016] =
+ (vX_[5016] * vX_[4108] + vX_[5021] * vX_[682] + vX_[2846] * vX_[730] + vX_[2858] * vX_[509]) * 1 / vX_[618];
+ vX_[4899] = vX_[5024] * vX_[41] + vX_[2756] * vX_[722] + vX_[4899] * vX_[737];
+ vX_[2756] = 0 - vX_[4899];
+ vX_[4918] = vX_[5025] * vX_[41] + vX_[2828] * vX_[722] + vX_[4918] * vX_[737];
+ vX_[2828] = 0 - vX_[4918];
+ vX_[5025] = 0 - vX_[5008] * vX_[41] - vX_[5014] * vX_[722] - vX_[5017] * vX_[737];
+ vX_[5024] = 0 - vX_[5025];
+ vX_[5013] =
+ (vX_[5013] * vX_[1647] + vX_[2756] * vX_[682] + vX_[2828] * vX_[730] + vX_[5024] * vX_[509]) * 1 / vX_[618];
+ vX_[4599] = 0 - vX_[5010] * vX_[801] - vX_[5011] * vX_[604] - vX_[5016] * vX_[731] - vX_[5013] * vX_[664];
+ vX_[4457] = 0 - vX_[2755];
+ vX_[2853] = 0 - vX_[5019];
+ vX_[4600] = 0 - vX_[5014];
+ vX_[4449] = 0 - vX_[5011];
+ vX_[2651] = 0 - vX_[2755];
+ vX_[4886] = 0 - vX_[5019];
+ vX_[4878] = 0 - vX_[5014];
+ vX_[4862] = 0 - vX_[5011];
+ vX_[5006] = (vX_[5006] * vX_[4116] + vX_[2651] * vX_[662] + vX_[4886] * vX_[633] + vX_[4878] * vX_[691] +
+ vX_[4862] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[4842] = 0 - vX_[5006];
+ vX_[4575] = (vX_[4990] * vX_[4116] + vX_[4457] * vX_[510] + vX_[2853] * vX_[518] + vX_[4600] * vX_[690] +
+ vX_[4449] * vX_[628] + vX_[4842] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4573] = 0 - vX_[2737];
+ vX_[4569] = 0 - vX_[4592];
+ vX_[4563] = 0 - vX_[5017];
+ vX_[2040] = 0 - vX_[5016];
+ vX_[2033] = 0 - vX_[2737];
+ vX_[2041] = 0 - vX_[4592];
+ vX_[2038] = 0 - vX_[5017];
+ vX_[2037] = 0 - vX_[5016];
+ vX_[5015] = (vX_[5015] * vX_[4108] + vX_[2033] * vX_[662] + vX_[2041] * vX_[633] + vX_[2038] * vX_[691] +
+ vX_[2037] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[2012] = 0 - vX_[5015];
+ vX_[2036] = (vX_[4990] * vX_[4108] + vX_[4573] * vX_[510] + vX_[4569] * vX_[518] + vX_[4563] * vX_[690] +
+ vX_[2040] * vX_[628] + vX_[2012] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2031] = 0 - vX_[4899];
+ vX_[2029] = 0 - vX_[4918];
+ vX_[1139] = 0 - vX_[5025];
+ vX_[2035] = 0 - vX_[5013];
+ vX_[2030] = 0 - vX_[4899];
+ vX_[2008] = 0 - vX_[4918];
+ vX_[2001] = 0 - vX_[5025];
+ vX_[2009] = 0 - vX_[5013];
+ vX_[5012] = (vX_[5012] * vX_[1647] + vX_[2030] * vX_[662] + vX_[2008] * vX_[633] + vX_[2001] * vX_[691] +
+ vX_[2009] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[2006] = 0 - vX_[5012];
+ vX_[2005] = (vX_[4990] * vX_[1647] + vX_[2031] * vX_[510] + vX_[2029] * vX_[518] + vX_[1139] * vX_[690] +
+ vX_[2035] * vX_[628] + vX_[2006] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2756] = vX_[5022] * vX_[801] + vX_[2739] * vX_[604] + vX_[5021] * vX_[731] + vX_[2756] * vX_[664];
+ vX_[5021] = 0 - vX_[2756];
+ vX_[2828] = vX_[5023] * vX_[801] + vX_[2751] * vX_[604] + vX_[2846] * vX_[731] + vX_[2828] * vX_[664];
+ vX_[2846] = 0 - vX_[2828];
+ vX_[5024] = vX_[5026] * vX_[801] + vX_[2835] * vX_[604] + vX_[2858] * vX_[731] + vX_[5024] * vX_[664];
+ vX_[2858] = 0 - vX_[5024];
+ vX_[2835] = 0 - vX_[4599];
+ vX_[5026] = 0 - vX_[2756];
+ vX_[2751] = 0 - vX_[2828];
+ vX_[5023] = 0 - vX_[5024];
+ vX_[2739] = 0 - vX_[4599];
+ vX_[5009] = (vX_[5009] * vX_[3708] + vX_[5026] * vX_[662] + vX_[2751] * vX_[633] + vX_[5023] * vX_[691] +
+ vX_[2739] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5022] = 0 - vX_[5009];
+ vX_[1967] = (vX_[4990] * vX_[3708] + vX_[5021] * vX_[510] + vX_[2846] * vX_[518] + vX_[2858] * vX_[690] +
+ vX_[2835] * vX_[628] + vX_[5022] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5026] = vX_[5027] * vX_[1083] + vX_[2651] * vX_[602] + vX_[2033] * vX_[725] + vX_[2030] * vX_[666] +
+ vX_[5026] * vX_[668];
+ vX_[2030] = 0 - vX_[5026];
+ vX_[2751] = vX_[5028] * vX_[1083] + vX_[4886] * vX_[602] + vX_[2041] * vX_[725] + vX_[2008] * vX_[666] +
+ vX_[2751] * vX_[668];
+ vX_[2008] = 0 - vX_[2751];
+ vX_[5023] = vX_[5029] * vX_[1083] + vX_[4878] * vX_[602] + vX_[2038] * vX_[725] + vX_[2001] * vX_[666] +
+ vX_[5023] * vX_[668];
+ vX_[2001] = 0 - vX_[5023];
+ vX_[2739] = vX_[5030] * vX_[1083] + vX_[4862] * vX_[602] + vX_[2037] * vX_[725] + vX_[2009] * vX_[666] +
+ vX_[2739] * vX_[668];
+ vX_[2009] = 0 - vX_[2739];
+ vX_[2037] = 0 - vX_[5005] * vX_[1083] - vX_[5006] * vX_[602] - vX_[5015] * vX_[725] - vX_[5012] * vX_[666] -
+ vX_[5009] * vX_[668];
+ vX_[4862] = 0 - vX_[2037];
+ vX_[4990] = (vX_[4990] * vX_[3689] + vX_[2030] * vX_[510] + vX_[2008] * vX_[518] + vX_[2001] * vX_[690] +
+ vX_[2009] * vX_[628] + vX_[4862] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5030] = 0 - vX_[5036] * vX_[1426] - vX_[4575] * vX_[620] - vX_[2036] * vX_[723] - vX_[2005] * vX_[590] -
+ vX_[1967] * vX_[624] - vX_[4990] * vX_[637];
+ vX_[2038] = vX_[4599] - vX_[5030];
+ vX_[4878] = vX_[5009] + vX_[2739];
+ vX_[5029] = vX_[2038] * vX_[487] + vX_[4878] * vX_[485];
+ vX_[2041] = vX_[2037] - vX_[5030];
+ vX_[4886] = vX_[2041] * vX_[487];
+ vX_[5028] = vX_[2038] * vX_[473] + vX_[4878] * vX_[487];
+ vX_[2033] = vX_[2041] * vX_[485];
+ vX_[2651] = vX_[5028] + vX_[2033];
+ vX_[5027] = vX_[5029] * vX_[473] + vX_[4886] * vX_[485] + vX_[2651] * vX_[487];
+ vX_[2004] = 0 - vX_[5027];
+ vX_[1999] = vX_[5030] + vX_[5028] * vX_[473] + vX_[4886] * vX_[487];
+ vX_[1997] = 0 - vX_[1999];
+ vX_[825] = vX_[5030] + vX_[5029] * vX_[487] + vX_[2033] * vX_[485];
+ vX_[2008] = vX_[5032] * vX_[1426] + vX_[2853] * vX_[620] + vX_[4569] * vX_[723] + vX_[2029] * vX_[590] +
+ vX_[2846] * vX_[624] + vX_[2008] * vX_[637];
+ vX_[2846] = vX_[2036] + vX_[2008];
+ vX_[2029] = vX_[5012] + vX_[5023] - vX_[2846];
+ vX_[2030] = vX_[5031] * vX_[1426] + vX_[4457] * vX_[620] + vX_[4573] * vX_[723] + vX_[2031] * vX_[590] +
+ vX_[5021] * vX_[624] + vX_[2030] * vX_[637];
+ vX_[5021] = vX_[4575] + vX_[2030];
+ vX_[2031] = 0 - (vX_[5013] + vX_[5024]) + vX_[5021];
+ vX_[4573] = (vX_[5021] * vX_[473] + vX_[2846] * vX_[487]) * -1;
+ vX_[4457] = 0 - (vX_[2029] * vX_[487] + vX_[2031] * vX_[485]) + vX_[4573];
+ vX_[5031] = vX_[4457] + vX_[1999] * vX_[474];
+ vX_[4569] = 0 - vX_[5031];
+ vX_[2853] = (vX_[5021] * vX_[487] + vX_[2846] * vX_[485]) * -1;
+ vX_[5032] = vX_[2029] * vX_[473] + vX_[2031] * vX_[487] + vX_[2853];
+ vX_[2003] = 0 - vX_[825];
+ vX_[1998] = vX_[5032] + vX_[5027] * vX_[474] + vX_[2003] * vX_[393];
+ vX_[1981] = vX_[5016] + vX_[2828];
+ vX_[1972] = vX_[5011] + vX_[2756];
+ vX_[1924] = vX_[1981] * vX_[485] + vX_[1972] * vX_[487];
+ vX_[1979] = vX_[5006] + vX_[5026];
+ vX_[1977] = vX_[5015] + vX_[2751];
+ vX_[1925] = vX_[1979] * vX_[487] + vX_[1977] * vX_[485];
+ vX_[1665] = vX_[1924] * vX_[473] + vX_[1925] * vX_[487];
+ vX_[4862] = vX_[5035] * vX_[1426] + vX_[4842] * vX_[620] + vX_[2012] * vX_[723] + vX_[2006] * vX_[590] +
+ vX_[5022] * vX_[624] + vX_[4862] * vX_[637];
+ vX_[5022] = vX_[4990] + vX_[4862];
+ vX_[2009] = vX_[5034] * vX_[1426] + vX_[4449] * vX_[620] + vX_[2040] * vX_[723] + vX_[2035] * vX_[590] +
+ vX_[2835] * vX_[624] + vX_[2009] * vX_[637];
+ vX_[2835] = vX_[1967] + vX_[2009];
+ vX_[2035] = 0 - vX_[2835];
+ vX_[2040] = vX_[5022] * vX_[487] + vX_[2035] * vX_[485];
+ vX_[4449] = 0 - vX_[2040];
+ vX_[5034] = vX_[1665] + vX_[4449] * vX_[393] + vX_[1997] * vX_[489];
+ vX_[2006] = 0 - vX_[5034];
+ vX_[2012] = vX_[1981] * vX_[487] + vX_[1972] * vX_[473];
+ vX_[4842] = vX_[1979] * vX_[473] + vX_[1977] * vX_[487];
+ vX_[5035] = vX_[2012] * vX_[487] + vX_[4842] * vX_[485];
+ vX_[2835] = 0 - vX_[2835];
+ vX_[1656] = vX_[5022] * vX_[473] + vX_[2835] * vX_[487];
+ vX_[1610] = 0 - vX_[1656];
+ vX_[1663] = vX_[5035] + vX_[1610] * vX_[474] + vX_[825] * vX_[489];
+ vX_[1661] = vX_[2012] * vX_[473] + vX_[4842] * vX_[487];
+ vX_[1611] = vX_[1661] + vX_[2040] * vX_[474];
+ vX_[1355] = vX_[1924] * vX_[487] + vX_[1925] * vX_[485];
+ vX_[1346] = vX_[1355] + vX_[1656] * vX_[393] + vX_[2004] * vX_[489];
+ vX_[1298] = 0 - vX_[1611] + vX_[1346];
+ vX_[1353] = 0 - vX_[5027];
+ vX_[1351] = 0 - vX_[1999];
+ vX_[1997] = vX_[2004] * vX_[611] + vX_[1997] * vX_[556] + vX_[825] * vX_[452] + vX_[4569] * vX_[490] +
+ vX_[1998] * vX_[501] + vX_[2006] * vX_[481] + vX_[1663] * vX_[475] + vX_[1298] * vX_[472] +
+ vX_[1353] * vX_[608] + vX_[5027] * vX_[605] + vX_[1351] * vX_[555] + vX_[825] * vX_[559];
+ vX_[2004] = 0 - vX_[4857];
+ vX_[1299] = vX_[5270] * 0.881 + (0 - vX_[5287]) * 0.1104774 + vX_[5289] * 0.0004405;
+ vX_[1044] =
+ 0.0168251785646079 + vX_[5281] * 0.00185880198235362 + vX_[5283] * 0.880992588508842 + vX_[5287] * -8.81e-05;
+ vX_[1035] = vX_[2004] * vX_[1305] + vX_[1299] * vX_[46] + vX_[1044] * x_in[26];
+ vX_[2474] = 0 - vX_[4889] + vX_[2324] - vX_[2474];
+ vX_[2324] = 0 - vX_[1299];
+ vX_[4889] =
+ -4.21975478400367 + vX_[5281] * 0.414812462825713 + vX_[5283] * 0.00185880198235362 + vX_[5289] * 8.81e-05;
+ vX_[989] = vX_[2474] * vX_[1305] + vX_[2324] * vX_[42] - vX_[4889] * x_in[26];
+ vX_[1042] = 0 - vX_[2481];
+ vX_[1040] = vX_[5268] * 3.146 + (0 - vX_[5269]) * 0.47422804 + vX_[5279] * -0.0825825;
+ vX_[990] = vX_[4997] + vX_[5272] * vX_[449] + vX_[5273] * vX_[448] + vX_[5269] * vX_[425] + vX_[5279] * vX_[420];
+ vX_[38] =
+ vX_[1035] * vX_[395] + vX_[989] * vX_[397] + vX_[1042] * vX_[1233] + vX_[1040] * vX_[15] + vX_[990] * x_in[25];
+ vX_[2664] = 0 - vX_[2810] + vX_[2664];
+ vX_[2810] = 0 - vX_[1040];
+ vX_[37] = vX_[4995] + vX_[5272] * vX_[447] + vX_[5273] * vX_[449] + vX_[5269] * vX_[431] + vX_[5279] * vX_[430];
+ vX_[36] =
+ vX_[1035] * vX_[1690] + vX_[989] * vX_[395] + vX_[2664] * vX_[1233] + vX_[2810] * vX_[43] - vX_[37] * x_in[25];
+ vX_[34] = vX_[5227] * -3.44;
+ vX_[33] = vX_[5251] * 0.1466472;
+ vX_[30] = vX_[5266] * 0.5824264;
+ vX_[25] = 0 - vX_[34] + vX_[33] - vX_[30];
+ vX_[24] = 0 - vX_[2839];
+ vX_[23] = vX_[4993] + vX_[5255] * vX_[501] + vX_[5227] * vX_[475] + vX_[5261] * vX_[472] + vX_[5264] * vX_[605] +
+ vX_[5266] * vX_[553];
+ vX_[21] = vX_[38] * vX_[1686] + vX_[36] * vX_[421] + vX_[25] * vX_[10] + vX_[24] * vX_[1882] - vX_[23] * x_in[24];
+ vX_[17] = vX_[4599] + vX_[2037] + vX_[5030] - vX_[1999] - vX_[825];
+ vX_[0] = 0 - vX_[17];
+ vX_[4573] = vX_[4573] + vX_[0] * vX_[474];
+ vX_[2853] = vX_[2853] + vX_[17] * vX_[393];
+ vX_[2913] = 0 - vX_[1998];
+ vX_[1451] = 0 - vX_[1663];
+ vX_[2001] = vX_[5033] * vX_[1426] + vX_[4600] * vX_[620] + vX_[4563] * vX_[723] + vX_[1139] * vX_[590] +
+ vX_[2858] * vX_[624] + vX_[2001] * vX_[637];
+ vX_[2858] = vX_[2005] + vX_[2001] + vX_[1972] + vX_[1977] - vX_[1661] - vX_[1355];
+ vX_[1346] = vX_[2858] - vX_[1346];
+ vX_[1139] = 0 - vX_[2040];
+ vX_[4563] = 0 - vX_[5027];
+ vX_[4600] = 0 - vX_[825];
+ vX_[5033] = vX_[2755] - vX_[5025];
+ vX_[2056] = vX_[4592] - vX_[5025];
+ vX_[1538] = vX_[5019] + vX_[2737];
+ vX_[2091] = vX_[5017] + vX_[4918];
+ vX_[1850] = vX_[5014] + vX_[4899];
+ vX_[35] = 0 - vX_[1850];
+ vX_[1765] = vX_[5033] * vX_[487] + vX_[1538] * vX_[485];
+ vX_[31] = vX_[2056] * vX_[487];
+ vX_[1540] = vX_[5033] * vX_[473] + vX_[1538] * vX_[487];
+ vX_[39] = vX_[2056] * vX_[485];
+ vX_[1453] = vX_[1540] + vX_[39];
+ vX_[40] = vX_[5270] * 0.0004405 + vX_[5281] * -8.81e-05 + vX_[5289] * -0.000227999999999999;
+ vX_[1230] = vX_[5270] * 0.1104774 + vX_[5283] * -8.81e-05 + (0 - vX_[5287]) * 0.025713;
+ vX_[2] = (0 - vX_[5281]) * 0.0004405;
+ vX_[1142] = (0 - vX_[5283]) * 0.1104774;
+ vX_[8] = vX_[2] + vX_[1142];
+ vX_[8] = vX_[2004] * vX_[1931] + vX_[2474] * vX_[1617] + vX_[40] * vX_[42] + vX_[1230] * vX_[46] +
+ vX_[8] * vX_[1305] + vX_[8] * vX_[1305];
+ vX_[2474] = vX_[5268] * -0.0825825 + (0 - vX_[5274]) * 0.000102 + vX_[5269] * 0.007418 + vX_[5279] * 0.002735;
+ vX_[2004] = vX_[5268] * 0.47422804 + vX_[5274] * 2.1e-05 + (0 - vX_[5269]) * 0.084376 + (0 - vX_[5279]) * 0.007418;
+ vX_[913] = (0 - vX_[5272]) * -0.0825825;
+ vX_[45] = (0 - vX_[5273]) * 0.47422804;
+ vX_[828] = vX_[5269] * 0.000102;
+ vX_[48] = (0 - vX_[5279]) * 2.1e-05;
+ vX_[1928] = vX_[913] + vX_[45] + vX_[828] + vX_[48];
+ vX_[1928] = vX_[8] + vX_[1035] * vX_[1698] + vX_[989] * vX_[400] + vX_[1042] * vX_[1145] + vX_[2664] * vX_[916] +
+ vX_[2474] * vX_[43] + vX_[2004] * vX_[15] + vX_[1928] * vX_[1233] + vX_[1928] * vX_[1233];
+ vX_[2664] = vX_[5227] * 0.5824264 + (0 - vX_[5251]) * -0.022734 + vX_[5264] * -3.6e-05 + vX_[5266] * -0.133138;
+ vX_[1042] = vX_[5227] * 0.1466472 + vX_[5251] * 0.009466 + (0 - vX_[5264]) * -5.1e-05 + vX_[5266] * -0.022734;
+ vX_[49] = (0 - vX_[5255]) * 0.5824264;
+ vX_[1614] = (0 - vX_[5261]) * 0.1466472;
+ vX_[11] = (0 - vX_[5251]) * -3.6e-05;
+ vX_[1302] = (0 - vX_[5266]) * -5.1e-05;
+ vX_[2059] = vX_[49] + vX_[1614] + vX_[11] - vX_[1302];
+ vX_[993] = vX_[5004] + vX_[5255] * vX_[506] + vX_[5227] * vX_[553] + vX_[5261] * vX_[608] + vX_[5264] * vX_[607] +
+ vX_[5266] * vX_[469];
+ vX_[2059] = vX_[38] * vX_[1687] + vX_[36] * vX_[439] + vX_[1928] * -1 + vX_[2854] * vX_[5] + vX_[24] * vX_[1543] +
+ vX_[2664] * vX_[10] + vX_[1042] * vX_[2916] + vX_[2059] * vX_[1882] + vX_[2059] * vX_[1882] +
+ vX_[993] * x_in[24];
+ vX_[5285] = vX_[5281] * 0.1104774 + vX_[5283] * 0.0004405 + vX_[5285] * 0.025941;
+ vX_[24] = (0 - vX_[5270]) * -8.81e-05;
+ vX_[1142] = vX_[24] + vX_[1142];
+ vX_[5289] = vX_[5270] * 0.0004405 + vX_[5281] * 8.81e-05 + vX_[5289] * 0.000468;
+ vX_[1142] = vX_[4857] * vX_[4114] + vX_[2324] * vX_[1617] + vX_[40] * vX_[1305] + vX_[5285] * vX_[46] +
+ vX_[1142] * vX_[42] + vX_[1142] * vX_[42] + vX_[5289] * x_in[26];
+ vX_[24] = vX_[24] + vX_[2];
+ vX_[5287] = vX_[5270] * -0.1104774 + vX_[5283] * -8.81e-05 + vX_[5287] * 0.026409;
+ vX_[24] = vX_[4604] * vX_[4114] + vX_[1299] * vX_[1931] + vX_[1230] * vX_[1305] + vX_[5285] * vX_[42] +
+ vX_[24] * vX_[46] + vX_[24] * vX_[46] - vX_[5287] * x_in[26];
+ vX_[5285] = vX_[5272] * 0.47422804 + vX_[5273] * -0.0825825 + vX_[5274] * 0.081641 + (0 - vX_[5269]) * 2.1e-05 +
+ vX_[5279] * 0.000102;
+ vX_[1230] = (0 - vX_[5274]) * 0.007418;
+ vX_[48] = vX_[45] + vX_[1230] - vX_[48];
+ vX_[45] = vX_[4989] + vX_[5268] * vX_[415] + vX_[5272] * vX_[430] + vX_[5273] * vX_[420] + vX_[5269] * vX_[464] +
+ vX_[5279] * vX_[460];
+ vX_[48] = vX_[2471] * -0.35 + vX_[1142] * vX_[395] + vX_[24] * vX_[397] + vX_[2481] * vX_[4117] +
+ vX_[2810] * vX_[916] + vX_[2474] * vX_[1233] + vX_[5285] * vX_[15] + vX_[48] * vX_[43] +
+ vX_[48] * vX_[43] + vX_[45] * x_in[25];
+ vX_[1230] = vX_[913] - vX_[1230] - vX_[828];
+ vX_[828] = vX_[4987] + vX_[5268] * vX_[427] + vX_[5272] * vX_[431] + vX_[5273] * vX_[425] + vX_[5269] * vX_[458] +
+ vX_[5279] * vX_[464];
+ vX_[1230] = vX_[1142] * vX_[398] + vX_[24] * vX_[395] + vX_[4912] * vX_[4117] + vX_[1040] * vX_[1145] +
+ vX_[2004] * vX_[1233] + vX_[5285] * vX_[43] + vX_[1230] * vX_[15] + vX_[1230] * vX_[15] -
+ vX_[828] * x_in[25];
+ vX_[30] = vX_[34] - vX_[33] + vX_[30];
+ vX_[33] = vX_[5255] * 0.1466472 + vX_[5261] * 0.5824264 + vX_[5251] * -5.1e-05 + (0 - vX_[5264]) * -0.123672 +
+ (0 - vX_[5266]) * -3.6e-05;
+ vX_[34] = vX_[5264] * -0.022734;
+ vX_[11] = vX_[49] - vX_[11] - vX_[34];
+ vX_[49] = vX_[4984] + vX_[5255] * vX_[443] + vX_[5227] * vX_[605] + vX_[5261] * vX_[554] + vX_[5264] * vX_[552] +
+ vX_[5266] * vX_[607];
+ vX_[11] = vX_[48] * vX_[433] + vX_[1230] * vX_[421] + vX_[30] * vX_[5] + vX_[2839] * vX_[4129] + vX_[33] * vX_[10] +
+ vX_[1042] * vX_[1882] + vX_[11] * vX_[2916] + vX_[11] * vX_[2916] - vX_[49] * x_in[24];
+ vX_[5316] = vX_[5316] * vX_[2082];
+ vX_[1042] = vX_[5316] * vX_[395];
+ vX_[5317] = vX_[5317] * vX_[2082];
+ vX_[2839] = vX_[5317] * vX_[1702];
+ vX_[5318] = vX_[5318] * vX_[2082];
+ vX_[5285] = 0 - vX_[5318];
+ vX_[5288] = vX_[5288] * vX_[2077];
+ vX_[2004] = vX_[5288] * vX_[395];
+ vX_[1040] = vX_[5288] * vX_[1702];
+ vX_[4912] = 0 - vX_[1040];
+ vX_[5304] = vX_[5304] * vX_[2089];
+ vX_[913] = vX_[5304] * vX_[1702];
+ vX_[5292] = vX_[5292] * vX_[1911];
+ vX_[2474] = vX_[5292] * vX_[395];
+ vX_[5290] = vX_[5290] * vX_[2077];
+ vX_[2810] = vX_[5290] * vX_[395];
+ vX_[2481] = vX_[5290] * vX_[1702];
+ vX_[2471] = vX_[5304] * vX_[395];
+ vX_[5305] = vX_[5305] * vX_[2089];
+ vX_[1299] = 0 - vX_[5305];
+ vX_[4604] = vX_[1299] * vX_[395];
+ vX_[5283] = vX_[5305] * vX_[1702];
+ vX_[5270] = vX_[5316] + vX_[5292];
+ vX_[5293] = vX_[5293] * vX_[1911];
+ vX_[2] = 0 - vX_[5317] - vX_[5293];
+ vX_[40] = vX_[5270] * vX_[1702] + vX_[2] * vX_[395];
+ vX_[2324] = vX_[5293] * vX_[1702];
+ vX_[5310] = vX_[5310] * vX_[2089] + vX_[5298] * vX_[2077];
+ vX_[5298] = 0 - vX_[5310];
+ vX_[4857] = 0 - vX_[5310];
+ vX_[5281] = vX_[4857] * vX_[395];
+ vX_[3] = vX_[5310] * vX_[1702];
+ vX_[4139] = vX_[5311] * vX_[1830] + vX_[5393] * vX_[1782] + vX_[5396] * vX_[1814];
+ vX_[4122] = 0 - vX_[4139];
+ vX_[4119] = vX_[5311] * vX_[1920] + vX_[5393] * vX_[1815] + vX_[5396] * vX_[1776];
+ vX_[4136] = vX_[4122] * x_in[18] + vX_[4119] * x_in[19];
+ vX_[4130] = 0 - vX_[4136];
+ vX_[4126] = 0 - vX_[4136];
+ vX_[4132] = vX_[4126] * vX_[395];
+ vX_[4128] = vX_[4136] * vX_[1702];
+ vX_[5311] = vX_[5311] * vX_[1812] + vX_[5393] * vX_[1831] + vX_[5396] * vX_[1921];
+ jac[926] = vX_[37] * vX_[1708] + vX_[990] * vX_[1145] + vX_[828] * vX_[2090] + vX_[45] * vX_[43] + vX_[1928] +
+ vX_[5311] * vX_[1835] + vX_[4139] * vX_[1788] + vX_[4119] * vX_[1821];
+ jac[962] = vX_[4889] * vX_[1739] + vX_[1044] * vX_[1931] + vX_[5287] * vX_[6] + vX_[5289] * vX_[42] + vX_[8] +
+ vX_[5311] * vX_[1845] + vX_[4139] * vX_[1799] + vX_[4119] * vX_[1818];
+ vX_[5287] = vX_[5311] * x_in[26];
+ vX_[5289] = vX_[5287] * vX_[395];
+ vX_[8] = vX_[5287] * vX_[1702];
+ vX_[4889] = vX_[5311] * x_in[25];
+ vX_[1044] = vX_[4139] * x_in[24];
+ vX_[828] = 0 - vX_[1044];
+ vX_[45] = vX_[4889] * vX_[395];
+ vX_[1928] = 0 - vX_[1044];
+ vX_[37] = vX_[1928] * vX_[395];
+ vX_[990] = vX_[4889] * vX_[1702];
+ vX_[5396] = vX_[1044] * vX_[1702];
+ vX_[5393] = vX_[5322] * vX_[1876];
+ vX_[4118] = 0 - vX_[5393];
+ vX_[4101] = 0 - vX_[5393];
+ vX_[4098] = vX_[4101] * vX_[395];
+ vX_[4115] = vX_[5393] * vX_[1702];
+ vX_[4109] = 0 - vX_[4573];
+ vX_[4105] = 0 - vX_[2853];
+ vX_[2858] = 0 - vX_[2858] + vX_[1611];
+ vX_[1611] = 0 - vX_[1656];
+ vX_[1850] = 0 - vX_[1850];
+ vX_[5282] = vX_[5282] * vX_[2077];
+ vX_[4111] = vX_[5282] * vX_[1702];
+ vX_[5284] = vX_[5284] * vX_[2077];
+ vX_[4107] = 0 - vX_[5284];
+ vX_[4097] = vX_[4107] * vX_[395];
+ vX_[5286] = vX_[5286] * vX_[2077];
+ vX_[4080] = 0 - vX_[5286];
+ vX_[5303] = vX_[5303] * vX_[2089];
+ vX_[5319] = vX_[5319] * vX_[2082];
+ vX_[4077] = vX_[5319] * vX_[395];
+ vX_[4094] = vX_[5319] * vX_[1702];
+ vX_[5308] = vX_[5308] * vX_[2079];
+ vX_[4088] = vX_[5308] * vX_[1702];
+ vX_[5320] = vX_[5320] * vX_[2082];
+ vX_[4084] = vX_[5320] * vX_[395];
+ vX_[4090] = 0 - vX_[4084];
+ vX_[4086] = vX_[5320] * vX_[1702];
+ vX_[5309] = vX_[5309] * vX_[2079];
+ vX_[4076] = 0 - vX_[5309];
+ vX_[4059] = vX_[4076] * vX_[395];
+ vX_[4027] = vX_[5282] + vX_[5308];
+ vX_[5309] = vX_[5284] + vX_[5309];
+ vX_[5284] = vX_[4027] * vX_[395] + vX_[5309] * vX_[1702];
+ vX_[5306] = vX_[5306] * vX_[2089] + vX_[5297] * vX_[2082];
+ vX_[5297] = 0 - vX_[5306];
+ vX_[4073] = 0 - vX_[5306];
+ vX_[4067] = vX_[4073] * vX_[395];
+ vX_[4063] = vX_[5306] * vX_[1702];
+ vX_[4069] = 0 - vX_[4119];
+ vX_[4065] = vX_[5311] * x_in[18] + vX_[4069] * x_in[20];
+ vX_[4054] = 0 - vX_[4065];
+ vX_[4050] = vX_[4065] * vX_[1702];
+ vX_[4056] = vX_[5311] * x_in[24];
+ vX_[4052] = vX_[4056] * vX_[1702];
+ vX_[3981] = vX_[4139] * x_in[26];
+ vX_[3977] = vX_[3981] * vX_[395];
+ vX_[3983] = vX_[3981] * vX_[1702];
+ vX_[3979] = vX_[4139] * x_in[25];
+ vX_[3908] = vX_[4056] * vX_[395];
+ vX_[3904] = vX_[3979] * vX_[395];
+ vX_[3910] = vX_[3979] * vX_[1702];
+ vX_[3906] = vX_[5322] * vX_[1866];
+ vX_[3835] = 0 - vX_[3906];
+ vX_[3831] = 0 - vX_[4065];
+ vX_[3837] = 0 - vX_[3906];
+ vX_[3833] = vX_[3831] * vX_[395] + vX_[3837] * vX_[395];
+ vX_[2921] = vX_[3906] * vX_[1702];
+ jac[242] =
+ 0 -
+ (0 - (vX_[4993] * vX_[4013] + vX_[5018] * vX_[4135] + vX_[2738] * x_in[22]) +
+ (vX_[4993] * vX_[5604] + vX_[5010] * vX_[4135] + vX_[1997] * vX_[487] + vX_[2738] * x_in[20]) * -0.3735 -
+ (vX_[4999] * vX_[4885] + vX_[5020] * vX_[3739] + vX_[21] * x_in[23]) +
+ (vX_[4999] * vX_[4518] + vX_[5005] * vX_[3739] + vX_[21] * x_in[19]) * 0.3735 +
+ (vX_[4999] * vX_[4368] + vX_[5036] * vX_[3739] +
+ (vX_[4449] * vX_[556] + vX_[1656] * vX_[611] + vX_[17] * vX_[500] + vX_[2003] * vX_[502] +
+ vX_[4573] * vX_[472] + vX_[2853] * vX_[481] + vX_[2913] * vX_[484] + vX_[1451] * vX_[501] +
+ vX_[1346] * vX_[490] + vX_[1139] * vX_[554] + vX_[1656] * vX_[608] + vX_[4563] * vX_[443] +
+ vX_[4600] * vX_[561]) *
+ -1 +
+ vX_[21] * x_in[18]) *
+ -0.207 -
+ (vX_[4984] * vX_[4518] + vX_[5004] * vX_[5604] + vX_[5010] * vX_[1456] + vX_[5005] * vX_[1893] +
+ vX_[5033] * vX_[719] + vX_[2056] * vX_[717] + vX_[1538] * vX_[715] + vX_[2091] * vX_[688] +
+ vX_[35] * vX_[490] + vX_[1765] * vX_[696] + vX_[31] * vX_[695] + vX_[1453] * vX_[472] +
+ vX_[1981] * vX_[680] + vX_[1979] * vX_[658] + vX_[5021] * vX_[508] + vX_[2846] * vX_[498] +
+ vX_[1972] * vX_[681] + vX_[1977] * vX_[661] + vX_[2012] * vX_[659] + vX_[1924] * vX_[610] +
+ vX_[4842] * vX_[660] + vX_[1925] * vX_[657] + vX_[2029] * vX_[497] + vX_[2031] * vX_[507] +
+ vX_[2038] * vX_[617] + vX_[2041] * vX_[615] + vX_[4878] * vX_[613] + vX_[5022] * vX_[634] +
+ vX_[2835] * vX_[635] + vX_[5029] * vX_[562] + vX_[4886] * vX_[558] + vX_[2651] * vX_[612] +
+ vX_[1997] * vX_[488] + vX_[2059] * x_in[19] + vX_[11] * x_in[20]) +
+ vX_[5271] * vX_[2077] + vX_[5307] * vX_[2079] + vX_[1042] * vX_[394] + vX_[2839] * vX_[394] +
+ vX_[5285] * vX_[394] * 0.35 + vX_[5318] * 0.3735 + vX_[2004] * 0.35 + vX_[2004] * vX_[421] * 0.08 +
+ vX_[2004] * vX_[394] * -0.3735 + vX_[4912] * vX_[421] * 0.3735 + vX_[1040] * vX_[394] * -0.08 +
+ vX_[913] * vX_[421] * 0.207 + vX_[2474] * vX_[394] + vX_[2810] * vX_[421] * 0.3735 +
+ vX_[2810] * vX_[394] * 0.08 + vX_[2481] * 0.35 + vX_[2481] * vX_[394] * -0.3735 +
+ (vX_[2471] * vX_[394] + vX_[4604] * vX_[421]) * 0.207 + vX_[5283] * vX_[394] * 0.207 + vX_[40] * vX_[421] +
+ vX_[2324] * vX_[394] + (vX_[2481] * vX_[421] - vX_[5310]) * 0.08 + vX_[5298] * vX_[421] * 0.35 +
+ vX_[5281] * vX_[421] * 0.33 + vX_[3] * vX_[394] * 0.33 + (0 - vX_[4136]) * 0.08 +
+ vX_[4130] * vX_[421] * 0.35 + vX_[4132] * vX_[421] * 0.33 + vX_[4128] * vX_[394] * 0.33 +
+ vX_[5289] * vX_[394] * 0.33 + vX_[8] * vX_[421] * 0.33 + vX_[4889] * vX_[394] * 0.35 +
+ (0 - vX_[1044]) * 0.08 + vX_[828] * vX_[421] * 0.35 + (vX_[45] * vX_[394] + vX_[37] * vX_[421]) * 0.33 +
+ (vX_[990] * vX_[421] + vX_[5396] * vX_[394]) * 0.33 + (0 - vX_[5393]) * 0.08 + vX_[4118] * vX_[421] * 0.35 +
+ vX_[4098] * vX_[421] * 0.33 + vX_[4115] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[4993] * vX_[4885] + vX_[4984] * vX_[5604] + vX_[5020] * vX_[4135] + vX_[5010] * vX_[1893] +
+ vX_[5033] * vX_[715] + vX_[2091] * vX_[490] + vX_[1540] * vX_[695] + vX_[1765] * vX_[472] +
+ vX_[1979] * vX_[661] + vX_[5021] * vX_[498] + vX_[1972] * vX_[680] + vX_[2012] * vX_[660] +
+ vX_[1924] * vX_[657] + vX_[2029] * vX_[507] + vX_[2038] * vX_[613] + vX_[5022] * vX_[635] +
+ vX_[5028] * vX_[558] + vX_[5029] * vX_[612] +
+ (vX_[2040] * vX_[609] + vX_[1610] * vX_[452] + vX_[5027] * vX_[502] + vX_[0] * vX_[476] +
+ vX_[1999] * vX_[491] + vX_[4109] * vX_[475] + vX_[5031] * vX_[484] + vX_[4105] * vX_[472] +
+ vX_[5034] * vX_[490] + vX_[2858] * vX_[501] + vX_[2040] * vX_[605] + vX_[1611] * vX_[553] +
+ vX_[5027] * vX_[506] + vX_[1999] * vX_[550]) *
+ 0.207 +
+ vX_[2738] * x_in[23] + vX_[2059] * x_in[20] +
+ (vX_[4993] * vX_[4518] + vX_[5005] * vX_[4135] + vX_[1997] * vX_[485] + vX_[2738] * x_in[19]) * -0.3735 +
+ (vX_[4993] * vX_[4368] + vX_[5036] * vX_[4135] + vX_[2738] * x_in[18]) * 0.207 -
+ (vX_[4999] * vX_[4013] + vX_[5018] * vX_[3739] + vX_[21] * x_in[22]) +
+ (vX_[4999] * vX_[5604] + vX_[5010] * vX_[3739] + vX_[21] * x_in[20]) * -0.3735 -
+ (vX_[5004] * vX_[4518] + vX_[5005] * vX_[1456] + vX_[2056] * vX_[716] + vX_[1538] * vX_[719] +
+ vX_[1850] * vX_[688] + vX_[31] * vX_[472] + vX_[39] * vX_[696] + vX_[1981] * vX_[681] +
+ vX_[2846] * vX_[508] + vX_[1977] * vX_[658] + vX_[4842] * vX_[659] + vX_[1925] * vX_[610] +
+ vX_[2031] * vX_[497] + vX_[2041] * vX_[614] + vX_[4878] * vX_[617] + vX_[2035] * vX_[634] +
+ vX_[4886] * vX_[612] + vX_[2033] * vX_[562] + vX_[1997] * vX_[486] + vX_[11] * x_in[19]) -
+ vX_[5315] * vX_[2082] + vX_[4111] * vX_[421] + vX_[4097] * vX_[421] + vX_[4080] * vX_[394] * 0.35 +
+ vX_[5286] * 0.3735 + (0 - vX_[5303]) * 0.207 - vX_[5291] * vX_[1911] + (0 - vX_[4077]) * 0.35 +
+ (0 - vX_[4077] * vX_[421]) * 0.08 + vX_[4077] * vX_[394] * 0.3735 + vX_[4094] * vX_[421] * 0.3735 +
+ vX_[4094] * vX_[394] * 0.08 + vX_[4088] * vX_[421] + vX_[4090] * vX_[421] * 0.3735 +
+ (0 - vX_[4084] * vX_[394]) * 0.08 + (0 - vX_[4086]) * 0.35 + (0 - vX_[4086] * vX_[421]) * 0.08 +
+ vX_[4086] * vX_[394] * 0.3735 + vX_[4059] * vX_[421] + vX_[5284] * vX_[394] + (0 - vX_[5306]) * 0.08 +
+ vX_[5297] * vX_[421] * 0.35 + vX_[4067] * vX_[421] * 0.33 + vX_[4063] * vX_[394] * 0.33 +
+ (0 - vX_[4065]) * 0.08 + vX_[4054] * vX_[421] * 0.35 + vX_[4050] * vX_[394] * 0.33 + vX_[4056] * 0.08 +
+ vX_[4056] * vX_[421] * 0.35 + vX_[4052] * vX_[394] * -0.33 + vX_[3977] * vX_[394] * 0.33 +
+ vX_[3983] * vX_[421] * 0.33 + vX_[3979] * vX_[394] * 0.35 +
+ (vX_[3908] * vX_[421] + vX_[3904] * vX_[394]) * 0.33 + vX_[3910] * vX_[421] * 0.33 +
+ (0 - vX_[3906]) * 0.08 + vX_[3835] * vX_[421] * 0.35 + vX_[3833] * vX_[421] * 0.33 +
+ vX_[2921] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[5286] = vX_[5702] * 0.881 + (0 - vX_[5704]) * 0.0004405 + vX_[5706] * -8.81e-05;
+ vX_[5318] = vX_[5700] * -0.881;
+ vX_[1538] = vX_[5704] * 0.1104774;
+ vX_[2056] = vX_[5708] * -8.81e-05;
+ vX_[5033] = vX_[5318] - vX_[1538] + vX_[2056];
+ vX_[0] = vX_[5286] * vX_[42] + vX_[5033] * vX_[46];
+ vX_[17] = vX_[5692] * 3.146 + (0 - vX_[5693]) * -0.0825825;
+ vX_[1997] = vX_[5691] * -3.146;
+ vX_[1610] = vX_[5693] * 0.47422804;
+ vX_[2835] = vX_[1997] - vX_[1610];
+ vX_[4842] = vX_[0] + vX_[17] * vX_[43] + vX_[2835] * vX_[15];
+ vX_[2012] = vX_[5680] * 3.44 + vX_[5683] * 0.5824264;
+ vX_[4449] = 0 - vX_[2012];
+ vX_[2035] = vX_[5674] * 3.44 + (0 - vX_[5683]) * 0.1466472;
+ vX_[5022] = vX_[5674] * vX_[490] + vX_[5646] * vX_[472] + vX_[5680] * vX_[481] + vX_[5683] * vX_[554] +
+ vX_[5685] * vX_[608];
+ vX_[1925] = vX_[4842] * -1 + vX_[4449] * vX_[10] + vX_[2035] * vX_[2916] + vX_[5022] * x_in[24];
+ vX_[1977] = 0 - vX_[5439] * vX_[4116];
+ vX_[1979] = 0 - vX_[1977];
+ vX_[1924] = 0 - vX_[1977];
+ vX_[5438] = (vX_[5438] * vX_[4116] + vX_[1924] * vX_[743]) * 1 / vX_[718];
+ vX_[1972] = 0 - vX_[5438];
+ vX_[1981] = 0 - vX_[1977];
+ vX_[2003] = 0 - vX_[5438];
+ vX_[5433] = (vX_[5433] * vX_[4116] + vX_[1981] * vX_[689] + vX_[2003] * vX_[736]) * 1 / vX_[721];
+ vX_[2031] = 0 - vX_[5433];
+ vX_[5430] =
+ (vX_[5430] * vX_[4116] + vX_[1979] * vX_[682] + vX_[1972] * vX_[730] + vX_[2031] * vX_[509]) * 1 / vX_[618];
+ vX_[1924] = vX_[5440] * vX_[1853] + vX_[1924] * vX_[712];
+ vX_[5440] = 0 - vX_[1924];
+ vX_[5021] = 0 - vX_[5437] * vX_[1853] - vX_[5438] * vX_[712];
+ vX_[2029] = 0 - vX_[5021];
+ vX_[2846] = 0 - vX_[1924];
+ vX_[2651] = 0 - vX_[5021];
+ vX_[5436] = (vX_[5436] * vX_[4108] + vX_[2846] * vX_[689] + vX_[2651] * vX_[736]) * 1 / vX_[721];
+ vX_[2033] = 0 - vX_[5436];
+ vX_[5435] =
+ (vX_[5435] * vX_[4108] + vX_[5440] * vX_[682] + vX_[2029] * vX_[730] + vX_[2033] * vX_[509]) * 1 / vX_[618];
+ vX_[2846] = vX_[5443] * vX_[41] + vX_[1981] * vX_[722] + vX_[2846] * vX_[737];
+ vX_[1981] = 0 - vX_[2846];
+ vX_[2651] = vX_[5444] * vX_[41] + vX_[2003] * vX_[722] + vX_[2651] * vX_[737];
+ vX_[2003] = 0 - vX_[2651];
+ vX_[5444] = 0 - vX_[5427] * vX_[41] - vX_[5433] * vX_[722] - vX_[5436] * vX_[737];
+ vX_[5443] = 0 - vX_[5444];
+ vX_[5432] =
+ (vX_[5432] * vX_[1647] + vX_[1981] * vX_[682] + vX_[2003] * vX_[730] + vX_[5443] * vX_[509]) * 1 / vX_[618];
+ vX_[5028] = 0 - vX_[5429] * vX_[801] - vX_[5430] * vX_[604] - vX_[5435] * vX_[731] - vX_[5432] * vX_[664];
+ vX_[4886] = 0 - vX_[1977];
+ vX_[2041] = 0 - vX_[5438];
+ vX_[5029] = 0 - vX_[5433];
+ vX_[4878] = 0 - vX_[5430];
+ vX_[2038] = 0 - vX_[1977];
+ vX_[5315] = 0 - vX_[5438];
+ vX_[5307] = 0 - vX_[5433];
+ vX_[5291] = 0 - vX_[5430];
+ vX_[5425] = (vX_[5425] * vX_[4116] + vX_[2038] * vX_[662] + vX_[5315] * vX_[633] + vX_[5307] * vX_[691] +
+ vX_[5291] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5271] = 0 - vX_[5425];
+ vX_[5004] = (vX_[5419] * vX_[4116] + vX_[4886] * vX_[510] + vX_[2041] * vX_[518] + vX_[5029] * vX_[690] +
+ vX_[4878] * vX_[628] + vX_[5271] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[4984] = 0 - vX_[1924];
+ vX_[4999] = 0 - vX_[5021];
+ vX_[4993] = 0 - vX_[5436];
+ vX_[2922] = 0 - vX_[5435];
+ vX_[2918] = 0 - vX_[1924];
+ vX_[2912] = 0 - vX_[5021];
+ vX_[1933] = 0 - vX_[5436];
+ vX_[1927] = 0 - vX_[5435];
+ vX_[5434] = (vX_[5434] * vX_[4108] + vX_[2918] * vX_[662] + vX_[2912] * vX_[633] + vX_[1933] * vX_[691] +
+ vX_[1927] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[1855] = 0 - vX_[5434];
+ vX_[1849] = (vX_[5419] * vX_[4108] + vX_[4984] * vX_[510] + vX_[4999] * vX_[518] + vX_[4993] * vX_[690] +
+ vX_[2922] * vX_[628] + vX_[1855] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1770] = 0 - vX_[2846];
+ vX_[1764] = 0 - vX_[2651];
+ vX_[1619] = 0 - vX_[5444];
+ vX_[1613] = 0 - vX_[5432];
+ vX_[1545] = 0 - vX_[2846];
+ vX_[1539] = 0 - vX_[2651];
+ vX_[1458] = 0 - vX_[5444];
+ vX_[1452] = 0 - vX_[5432];
+ vX_[5431] = (vX_[5431] * vX_[1647] + vX_[1545] * vX_[662] + vX_[1539] * vX_[633] + vX_[1458] * vX_[691] +
+ vX_[1452] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[1307] = 0 - vX_[5431];
+ vX_[1301] = (vX_[5419] * vX_[1647] + vX_[1770] * vX_[510] + vX_[1764] * vX_[518] + vX_[1619] * vX_[690] +
+ vX_[1613] * vX_[628] + vX_[1307] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1981] = vX_[5441] * vX_[801] + vX_[1979] * vX_[604] + vX_[5440] * vX_[731] + vX_[1981] * vX_[664];
+ vX_[5440] = 0 - vX_[1981];
+ vX_[2003] = vX_[5442] * vX_[801] + vX_[1972] * vX_[604] + vX_[2029] * vX_[731] + vX_[2003] * vX_[664];
+ vX_[2029] = 0 - vX_[2003];
+ vX_[5443] = vX_[5445] * vX_[801] + vX_[2031] * vX_[604] + vX_[2033] * vX_[731] + vX_[5443] * vX_[664];
+ vX_[2033] = 0 - vX_[5443];
+ vX_[2031] = 0 - vX_[5028];
+ vX_[5445] = 0 - vX_[1981];
+ vX_[1972] = 0 - vX_[2003];
+ vX_[5442] = 0 - vX_[5443];
+ vX_[1979] = 0 - vX_[5028];
+ vX_[5428] = (vX_[5428] * vX_[3708] + vX_[5445] * vX_[662] + vX_[1972] * vX_[633] + vX_[5442] * vX_[691] +
+ vX_[1979] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5441] = 0 - vX_[5428];
+ vX_[1235] = (vX_[5419] * vX_[3708] + vX_[5440] * vX_[510] + vX_[2029] * vX_[518] + vX_[2033] * vX_[690] +
+ vX_[2031] * vX_[628] + vX_[5441] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5445] = vX_[5446] * vX_[1083] + vX_[2038] * vX_[602] + vX_[2918] * vX_[725] + vX_[1545] * vX_[666] +
+ vX_[5445] * vX_[668];
+ vX_[1545] = 0 - vX_[5445];
+ vX_[1972] = vX_[5447] * vX_[1083] + vX_[5315] * vX_[602] + vX_[2912] * vX_[725] + vX_[1539] * vX_[666] +
+ vX_[1972] * vX_[668];
+ vX_[1539] = 0 - vX_[1972];
+ vX_[5442] = vX_[5448] * vX_[1083] + vX_[5307] * vX_[602] + vX_[1933] * vX_[725] + vX_[1458] * vX_[666] +
+ vX_[5442] * vX_[668];
+ vX_[1458] = 0 - vX_[5442];
+ vX_[1979] = vX_[5449] * vX_[1083] + vX_[5291] * vX_[602] + vX_[1927] * vX_[725] + vX_[1452] * vX_[666] +
+ vX_[1979] * vX_[668];
+ vX_[1452] = 0 - vX_[1979];
+ vX_[1927] = 0 - vX_[5424] * vX_[1083] - vX_[5425] * vX_[602] - vX_[5434] * vX_[725] - vX_[5431] * vX_[666] -
+ vX_[5428] * vX_[668];
+ vX_[5291] = 0 - vX_[1927];
+ vX_[5419] = (vX_[5419] * vX_[3689] + vX_[1545] * vX_[510] + vX_[1539] * vX_[518] + vX_[1458] * vX_[690] +
+ vX_[1452] * vX_[628] + vX_[5291] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5449] = 0 - vX_[5455] * vX_[1426] - vX_[5004] * vX_[620] - vX_[1849] * vX_[723] - vX_[1301] * vX_[590] -
+ vX_[1235] * vX_[624] - vX_[5419] * vX_[637];
+ vX_[1933] = vX_[5028] - vX_[5449];
+ vX_[5307] = vX_[5428] + vX_[1979];
+ vX_[5448] = vX_[1933] * vX_[487] + vX_[5307] * vX_[485];
+ vX_[2912] = vX_[1927] - vX_[5449];
+ vX_[5315] = vX_[2912] * vX_[487];
+ vX_[5447] = vX_[1933] * vX_[473] + vX_[5307] * vX_[487];
+ vX_[2918] = vX_[2912] * vX_[485];
+ vX_[2038] = vX_[5447] + vX_[2918];
+ vX_[5446] = vX_[5448] * vX_[473] + vX_[5315] * vX_[485] + vX_[2038] * vX_[487];
+ vX_[1229] = 0 - vX_[5446];
+ vX_[1147] = vX_[5449] + vX_[5447] * vX_[473] + vX_[5315] * vX_[487];
+ vX_[1141] = 0 - vX_[1147];
+ vX_[998] = vX_[5449] + vX_[5448] * vX_[487] + vX_[2918] * vX_[485];
+ vX_[1539] = vX_[5451] * vX_[1426] + vX_[2041] * vX_[620] + vX_[4999] * vX_[723] + vX_[1764] * vX_[590] +
+ vX_[2029] * vX_[624] + vX_[1539] * vX_[637];
+ vX_[2029] = vX_[1849] + vX_[1539];
+ vX_[1764] = vX_[5431] + vX_[5442] - vX_[2029];
+ vX_[1545] = vX_[5450] * vX_[1426] + vX_[4886] * vX_[620] + vX_[4984] * vX_[723] + vX_[1770] * vX_[590] +
+ vX_[5440] * vX_[624] + vX_[1545] * vX_[637];
+ vX_[5440] = vX_[5004] + vX_[1545];
+ vX_[1770] = 0 - (vX_[5432] + vX_[5443]) + vX_[5440];
+ vX_[4984] = (vX_[5440] * vX_[473] + vX_[2029] * vX_[487]) * -1;
+ vX_[4886] = 0 - (vX_[1764] * vX_[487] + vX_[1770] * vX_[485]) + vX_[4984];
+ vX_[5450] = vX_[4886] + vX_[1147] * vX_[474];
+ vX_[4999] = 0 - vX_[5450];
+ vX_[2041] = (vX_[5440] * vX_[487] + vX_[2029] * vX_[485]) * -1;
+ vX_[5451] = vX_[1764] * vX_[473] + vX_[1770] * vX_[487] + vX_[2041];
+ vX_[992] = 0 - vX_[998];
+ vX_[918] = vX_[5451] + vX_[5446] * vX_[474] + vX_[992] * vX_[393];
+ vX_[912] = vX_[5435] + vX_[2003];
+ vX_[833] = vX_[5430] + vX_[1981];
+ vX_[827] = vX_[912] * vX_[485] + vX_[833] * vX_[487];
+ vX_[3743] = vX_[5425] + vX_[5445];
+ vX_[3726] = vX_[5434] + vX_[1972];
+ vX_[3723] = vX_[3743] * vX_[487] + vX_[3726] * vX_[485];
+ vX_[3740] = vX_[827] * vX_[473] + vX_[3723] * vX_[487];
+ vX_[5291] = vX_[5454] * vX_[1426] + vX_[5271] * vX_[620] + vX_[1855] * vX_[723] + vX_[1307] * vX_[590] +
+ vX_[5441] * vX_[624] + vX_[5291] * vX_[637];
+ vX_[5441] = vX_[5419] + vX_[5291];
+ vX_[1452] = vX_[5453] * vX_[1426] + vX_[4878] * vX_[620] + vX_[2922] * vX_[723] + vX_[1613] * vX_[590] +
+ vX_[2031] * vX_[624] + vX_[1452] * vX_[637];
+ vX_[2031] = vX_[1235] + vX_[1452];
+ vX_[1613] = 0 - vX_[2031];
+ vX_[2922] = vX_[5441] * vX_[487] + vX_[1613] * vX_[485];
+ vX_[4878] = 0 - vX_[2922];
+ vX_[5453] = vX_[3740] + vX_[4878] * vX_[393] + vX_[1141] * vX_[489];
+ vX_[1307] = 0 - vX_[5453];
+ vX_[1855] = vX_[912] * vX_[487] + vX_[833] * vX_[473];
+ vX_[5271] = vX_[3743] * vX_[473] + vX_[3726] * vX_[487];
+ vX_[5454] = vX_[1855] * vX_[487] + vX_[5271] * vX_[485];
+ vX_[2031] = 0 - vX_[2031];
+ vX_[3734] = vX_[5441] * vX_[473] + vX_[2031] * vX_[487];
+ vX_[3730] = 0 - vX_[3734];
+ vX_[3736] = vX_[5454] + vX_[3730] * vX_[474] + vX_[998] * vX_[489];
+ vX_[3732] = vX_[1855] * vX_[473] + vX_[5271] * vX_[487];
+ vX_[3722] = vX_[3732] + vX_[2922] * vX_[474];
+ vX_[3705] = vX_[827] * vX_[487] + vX_[3723] * vX_[485];
+ vX_[3702] = vX_[3705] + vX_[3734] * vX_[393] + vX_[1229] * vX_[489];
+ vX_[3719] = 0 - vX_[3722] + vX_[3702];
+ vX_[3713] = 0 - vX_[5446];
+ vX_[3709] = 0 - vX_[1147];
+ vX_[1141] = vX_[1229] * vX_[611] + vX_[1141] * vX_[556] + vX_[998] * vX_[452] + vX_[4999] * vX_[490] +
+ vX_[918] * vX_[501] + vX_[1307] * vX_[481] + vX_[3736] * vX_[475] + vX_[3719] * vX_[472] +
+ vX_[3713] * vX_[608] + vX_[5446] * vX_[605] + vX_[3709] * vX_[555] + vX_[998] * vX_[559];
+ vX_[1229] = 0 - vX_[5286];
+ vX_[3715] = vX_[5689] * 0.881 + (0 - vX_[5706]) * 0.1104774 + vX_[5708] * 0.0004405;
+ vX_[3711] = vX_[5700] * 0.00185880198235362 + vX_[5702] * 0.880992588508842 + vX_[5706] * -8.81e-05;
+ vX_[3701] = vX_[1229] * vX_[1305] + vX_[3715] * vX_[46] + vX_[3711] * x_in[26];
+ vX_[2056] = 0 - vX_[5318] + vX_[1538] - vX_[2056];
+ vX_[1538] = 0 - vX_[3715];
+ vX_[5318] = vX_[5700] * 0.414812462825713 + vX_[5702] * 0.00185880198235362 + vX_[5708] * 8.81e-05;
+ vX_[3684] = vX_[2056] * vX_[1305] + vX_[1538] * vX_[42] - vX_[5318] * x_in[26];
+ vX_[3681] = 0 - vX_[17];
+ vX_[3698] = vX_[5687] * 3.146 + (0 - vX_[5688]) * 0.47422804 + vX_[5698] * -0.0825825;
+ vX_[3692] = vX_[5691] * vX_[449] + vX_[5692] * vX_[448] + vX_[5688] * vX_[425] + vX_[5698] * vX_[420];
+ vX_[3688] = vX_[3701] * vX_[395] + vX_[3684] * vX_[397] + vX_[3681] * vX_[1233] + vX_[3698] * vX_[15] +
+ vX_[3692] * x_in[25];
+ vX_[1610] = 0 - vX_[1997] + vX_[1610];
+ vX_[1997] = 0 - vX_[3698];
+ vX_[3694] = vX_[5691] * vX_[447] + vX_[5692] * vX_[449] + vX_[5688] * vX_[431] + vX_[5698] * vX_[430];
+ vX_[3690] = vX_[3701] * vX_[1690] + vX_[3684] * vX_[395] + vX_[1610] * vX_[1233] + vX_[1997] * vX_[43] -
+ vX_[3694] * x_in[25];
+ vX_[3680] = vX_[5646] * -3.44;
+ vX_[3663] = vX_[5670] * 0.1466472;
+ vX_[3631] = vX_[5685] * 0.5824264;
+ vX_[3677] = 0 - vX_[3680] + vX_[3663] - vX_[3631];
+ vX_[3671] = 0 - vX_[2035];
+ vX_[3667] = vX_[5674] * vX_[501] + vX_[5646] * vX_[475] + vX_[5680] * vX_[472] + vX_[5683] * vX_[605] +
+ vX_[5685] * vX_[553];
+ vX_[3673] = vX_[3688] * vX_[1686] + vX_[3690] * vX_[421] + vX_[3677] * vX_[10] + vX_[3671] * vX_[1882] -
+ vX_[3667] * x_in[24];
+ vX_[3669] = vX_[5028] + vX_[1927] + vX_[5449] - vX_[1147] - vX_[998];
+ vX_[3658] = 0 - vX_[3669];
+ vX_[4984] = vX_[4984] + vX_[3658] * vX_[474];
+ vX_[2041] = vX_[2041] + vX_[3669] * vX_[393];
+ vX_[3654] = 0 - vX_[918];
+ vX_[3660] = 0 - vX_[3736];
+ vX_[1458] = vX_[5452] * vX_[1426] + vX_[5029] * vX_[620] + vX_[4993] * vX_[723] + vX_[1619] * vX_[590] +
+ vX_[2033] * vX_[624] + vX_[1458] * vX_[637];
+ vX_[2033] = vX_[1301] + vX_[1458] + vX_[833] + vX_[3726] - vX_[3732] - vX_[3705];
+ vX_[3702] = vX_[2033] - vX_[3702];
+ vX_[1619] = 0 - vX_[2922];
+ vX_[4993] = 0 - vX_[5446];
+ vX_[5029] = 0 - vX_[998];
+ vX_[5452] = vX_[1977] - vX_[5444];
+ vX_[3656] = vX_[5021] - vX_[5444];
+ vX_[3585] = vX_[5438] + vX_[1924];
+ vX_[3581] = vX_[5436] + vX_[2651];
+ vX_[3587] = vX_[5433] + vX_[2846];
+ vX_[3583] = 0 - vX_[3587];
+ vX_[3512] = vX_[5452] * vX_[487] + vX_[3585] * vX_[485];
+ vX_[3508] = vX_[3656] * vX_[487];
+ vX_[3514] = vX_[5452] * vX_[473] + vX_[3585] * vX_[487];
+ vX_[3510] = vX_[3656] * vX_[485];
+ vX_[3439] = vX_[3514] + vX_[3510];
+ vX_[3435] = vX_[5689] * 0.0004405 + vX_[5700] * -8.81e-05 + vX_[5708] * -0.000227999999999999;
+ vX_[3441] = vX_[5689] * 0.1104774 + vX_[5702] * -8.81e-05 + (0 - vX_[5706]) * 0.025713;
+ vX_[3437] = (0 - vX_[5700]) * 0.0004405;
+ vX_[3346] = (0 - vX_[5702]) * 0.1104774;
+ vX_[3345] = vX_[3437] + vX_[3346];
+ vX_[3345] = vX_[1229] * vX_[1931] + vX_[2056] * vX_[1617] + vX_[3435] * vX_[42] + vX_[3441] * vX_[46] +
+ vX_[3345] * vX_[1305] + vX_[3345] * vX_[1305];
+ vX_[2056] = vX_[5687] * -0.0825825 + (0 - vX_[5693]) * 0.000102 + vX_[5688] * 0.007418 + vX_[5698] * 0.002735;
+ vX_[1229] = vX_[5687] * 0.47422804 + vX_[5693] * 2.1e-05 + (0 - vX_[5688]) * 0.084376 + (0 - vX_[5698]) * 0.007418;
+ vX_[3344] = (0 - vX_[5691]) * -0.0825825;
+ vX_[3342] = (0 - vX_[5692]) * 0.47422804;
+ vX_[3337] = vX_[5688] * 0.000102;
+ vX_[3320] = (0 - vX_[5698]) * 2.1e-05;
+ vX_[3317] = vX_[3344] + vX_[3342] + vX_[3337] + vX_[3320];
+ vX_[3317] = vX_[3345] + vX_[3701] * vX_[1698] + vX_[3684] * vX_[400] + vX_[3681] * vX_[1145] +
+ vX_[1610] * vX_[916] + vX_[2056] * vX_[43] + vX_[1229] * vX_[15] + vX_[3317] * vX_[1233] +
+ vX_[3317] * vX_[1233];
+ vX_[1610] = vX_[5646] * 0.5824264 + (0 - vX_[5670]) * -0.022734 + vX_[5683] * -3.6e-05 + vX_[5685] * -0.133138;
+ vX_[3681] = vX_[5646] * 0.1466472 + vX_[5670] * 0.009466 + (0 - vX_[5683]) * -5.1e-05 + vX_[5685] * -0.022734;
+ vX_[3334] = (0 - vX_[5674]) * 0.5824264;
+ vX_[3328] = (0 - vX_[5680]) * 0.1466472;
+ vX_[3324] = (0 - vX_[5670]) * -3.6e-05;
+ vX_[3330] = (0 - vX_[5685]) * -5.1e-05;
+ vX_[3326] = vX_[3334] + vX_[3328] + vX_[3324] - vX_[3330];
+ vX_[3316] = vX_[5674] * vX_[506] + vX_[5646] * vX_[553] + vX_[5680] * vX_[608] + vX_[5683] * vX_[607] +
+ vX_[5685] * vX_[469];
+ vX_[3326] = vX_[3688] * vX_[1687] + vX_[3690] * vX_[439] + vX_[3317] * -1 + vX_[2012] * vX_[5] +
+ vX_[3671] * vX_[1543] + vX_[1610] * vX_[10] + vX_[3681] * vX_[2916] + vX_[3326] * vX_[1882] +
+ vX_[3326] * vX_[1882] + vX_[3316] * x_in[24];
+ vX_[5704] = vX_[5700] * 0.1104774 + vX_[5702] * 0.0004405 + vX_[5704] * 0.025941;
+ vX_[3671] = (0 - vX_[5689]) * -8.81e-05;
+ vX_[3346] = vX_[3671] + vX_[3346];
+ vX_[5708] = vX_[5689] * 0.0004405 + vX_[5700] * 8.81e-05 + vX_[5708] * 0.000468;
+ vX_[3346] = vX_[5286] * vX_[4114] + vX_[1538] * vX_[1617] + vX_[3435] * vX_[1305] + vX_[5704] * vX_[46] +
+ vX_[3346] * vX_[42] + vX_[3346] * vX_[42] + vX_[5708] * x_in[26];
+ vX_[3671] = vX_[3671] + vX_[3437];
+ vX_[5706] = vX_[5689] * -0.1104774 + vX_[5702] * -8.81e-05 + vX_[5706] * 0.026409;
+ vX_[3671] = vX_[5033] * vX_[4114] + vX_[3715] * vX_[1931] + vX_[3441] * vX_[1305] + vX_[5704] * vX_[42] +
+ vX_[3671] * vX_[46] + vX_[3671] * vX_[46] - vX_[5706] * x_in[26];
+ vX_[5704] = vX_[5691] * 0.47422804 + vX_[5692] * -0.0825825 + vX_[5693] * 0.081641 + (0 - vX_[5688]) * 2.1e-05 +
+ vX_[5698] * 0.000102;
+ vX_[3441] = (0 - vX_[5693]) * 0.007418;
+ vX_[3320] = vX_[3342] + vX_[3441] - vX_[3320];
+ vX_[3342] = vX_[5687] * vX_[415] + vX_[5691] * vX_[430] + vX_[5692] * vX_[420] + vX_[5688] * vX_[464] +
+ vX_[5698] * vX_[460];
+ vX_[3320] = vX_[0] * -0.35 + vX_[3346] * vX_[395] + vX_[3671] * vX_[397] + vX_[17] * vX_[4117] +
+ vX_[1997] * vX_[916] + vX_[2056] * vX_[1233] + vX_[5704] * vX_[15] + vX_[3320] * vX_[43] +
+ vX_[3320] * vX_[43] + vX_[3342] * x_in[25];
+ vX_[3441] = vX_[3344] - vX_[3441] - vX_[3337];
+ vX_[3337] = vX_[5687] * vX_[427] + vX_[5691] * vX_[431] + vX_[5692] * vX_[425] + vX_[5688] * vX_[458] +
+ vX_[5698] * vX_[464];
+ vX_[3441] = vX_[3346] * vX_[398] + vX_[3671] * vX_[395] + vX_[2835] * vX_[4117] + vX_[3698] * vX_[1145] +
+ vX_[1229] * vX_[1233] + vX_[5704] * vX_[43] + vX_[3441] * vX_[15] + vX_[3441] * vX_[15] -
+ vX_[3337] * x_in[25];
+ vX_[3631] = vX_[3680] - vX_[3663] + vX_[3631];
+ vX_[3663] = vX_[5674] * 0.1466472 + vX_[5680] * 0.5824264 + vX_[5670] * -5.1e-05 + (0 - vX_[5683]) * -0.123672 +
+ (0 - vX_[5685]) * -3.6e-05;
+ vX_[3680] = vX_[5683] * -0.022734;
+ vX_[3324] = vX_[3334] - vX_[3324] - vX_[3680];
+ vX_[3334] = vX_[5674] * vX_[443] + vX_[5646] * vX_[605] + vX_[5680] * vX_[554] + vX_[5683] * vX_[552] +
+ vX_[5685] * vX_[607];
+ vX_[3324] = vX_[3320] * vX_[433] + vX_[3441] * vX_[421] + vX_[3631] * vX_[5] + vX_[2035] * vX_[4129] +
+ vX_[3663] * vX_[10] + vX_[3681] * vX_[1882] + vX_[3324] * vX_[2916] + vX_[3324] * vX_[2916] -
+ vX_[3334] * x_in[24];
+ vX_[5735] = vX_[5735] * vX_[2082];
+ vX_[3681] = vX_[5735] * vX_[395];
+ vX_[5736] = vX_[5736] * vX_[2082];
+ vX_[2035] = vX_[5736] * vX_[1702];
+ vX_[5737] = vX_[5737] * vX_[2082];
+ vX_[5704] = 0 - vX_[5737];
+ vX_[5707] = vX_[5707] * vX_[2077];
+ vX_[1229] = vX_[5707] * vX_[395];
+ vX_[3698] = vX_[5707] * vX_[1702];
+ vX_[2835] = 0 - vX_[3698];
+ vX_[5723] = vX_[5723] * vX_[2089];
+ vX_[3344] = vX_[5723] * vX_[1702];
+ vX_[5711] = vX_[5711] * vX_[1911];
+ vX_[2056] = vX_[5711] * vX_[395];
+ vX_[5709] = vX_[5709] * vX_[2077];
+ vX_[1997] = vX_[5709] * vX_[395];
+ vX_[17] = vX_[5709] * vX_[1702];
+ vX_[0] = vX_[5723] * vX_[395];
+ vX_[5724] = vX_[5724] * vX_[2089];
+ vX_[3715] = 0 - vX_[5724];
+ vX_[5033] = vX_[3715] * vX_[395];
+ vX_[5702] = vX_[5724] * vX_[1702];
+ vX_[5689] = vX_[5735] + vX_[5711];
+ vX_[5712] = vX_[5712] * vX_[1911];
+ vX_[3437] = 0 - vX_[5736] - vX_[5712];
+ vX_[3435] = vX_[5689] * vX_[1702] + vX_[3437] * vX_[395];
+ vX_[1538] = vX_[5712] * vX_[1702];
+ vX_[5729] = vX_[5729] * vX_[2089] + vX_[5717] * vX_[2077];
+ vX_[5717] = 0 - vX_[5729];
+ vX_[5286] = 0 - vX_[5729];
+ vX_[5700] = vX_[5286] * vX_[395];
+ vX_[3299] = vX_[5729] * vX_[1702];
+ vX_[3296] = vX_[5730] * vX_[1830] + vX_[5812] * vX_[1782] + vX_[5815] * vX_[1814];
+ vX_[3313] = 0 - vX_[3296];
+ vX_[3307] = vX_[5730] * vX_[1920] + vX_[5812] * vX_[1815] + vX_[5815] * vX_[1776];
+ vX_[3303] = vX_[3313] * x_in[18] + vX_[3307] * x_in[19];
+ vX_[3309] = 0 - vX_[3303];
+ vX_[3305] = 0 - vX_[3303];
+ vX_[3295] = vX_[3305] * vX_[395];
+ vX_[3278] = vX_[3303] * vX_[1702];
+ vX_[5730] = vX_[5730] * vX_[1812] + vX_[5812] * vX_[1831] + vX_[5815] * vX_[1921];
+ jac[927] = vX_[3694] * vX_[1708] + vX_[3692] * vX_[1145] + vX_[3337] * vX_[2090] + vX_[3342] * vX_[43] + vX_[3317] +
+ vX_[5730] * vX_[1835] + vX_[3296] * vX_[1788] + vX_[3307] * vX_[1821];
+ jac[963] = vX_[5318] * vX_[1739] + vX_[3711] * vX_[1931] + vX_[5706] * vX_[6] + vX_[5708] * vX_[42] + vX_[3345] +
+ vX_[5730] * vX_[1845] + vX_[3296] * vX_[1799] + vX_[3307] * vX_[1818];
+ vX_[5706] = vX_[5730] * x_in[26];
+ vX_[5708] = vX_[5706] * vX_[395];
+ vX_[3345] = vX_[5706] * vX_[1702];
+ vX_[5318] = vX_[5730] * x_in[25];
+ vX_[3711] = vX_[3296] * x_in[24];
+ vX_[3337] = 0 - vX_[3711];
+ vX_[3342] = vX_[5318] * vX_[395];
+ vX_[3317] = 0 - vX_[3711];
+ vX_[3694] = vX_[3317] * vX_[395];
+ vX_[3692] = vX_[5318] * vX_[1702];
+ vX_[5815] = vX_[3711] * vX_[1702];
+ vX_[5812] = vX_[5741] * vX_[1876];
+ vX_[3275] = 0 - vX_[5812];
+ vX_[3292] = 0 - vX_[5812];
+ vX_[3286] = vX_[3292] * vX_[395];
+ vX_[3282] = vX_[5812] * vX_[1702];
+ vX_[3288] = 0 - vX_[4984];
+ vX_[3284] = 0 - vX_[2041];
+ vX_[2033] = 0 - vX_[2033] + vX_[3722];
+ vX_[3722] = 0 - vX_[3734];
+ vX_[3587] = 0 - vX_[3587];
+ vX_[5701] = vX_[5701] * vX_[2077];
+ vX_[3274] = vX_[5701] * vX_[1702];
+ vX_[5703] = vX_[5703] * vX_[2077];
+ vX_[3257] = 0 - vX_[5703];
+ vX_[3225] = vX_[3257] * vX_[395];
+ vX_[5705] = vX_[5705] * vX_[2077];
+ vX_[3271] = 0 - vX_[5705];
+ vX_[5722] = vX_[5722] * vX_[2089];
+ vX_[5738] = vX_[5738] * vX_[2082];
+ vX_[3265] = vX_[5738] * vX_[395];
+ vX_[3261] = vX_[5738] * vX_[1702];
+ vX_[5727] = vX_[5727] * vX_[2079];
+ vX_[3267] = vX_[5727] * vX_[1702];
+ vX_[5739] = vX_[5739] * vX_[2082];
+ vX_[3263] = vX_[5739] * vX_[395];
+ vX_[3252] = 0 - vX_[3263];
+ vX_[3248] = vX_[5739] * vX_[1702];
+ vX_[5728] = vX_[5728] * vX_[2079];
+ vX_[3254] = 0 - vX_[5728];
+ vX_[3250] = vX_[3254] * vX_[395];
+ vX_[3179] = vX_[5701] + vX_[5727];
+ vX_[5728] = vX_[5703] + vX_[5728];
+ vX_[5703] = vX_[3179] * vX_[395] + vX_[5728] * vX_[1702];
+ vX_[5725] = vX_[5725] * vX_[2089] + vX_[5716] * vX_[2082];
+ vX_[5716] = 0 - vX_[5725];
+ vX_[3175] = 0 - vX_[5725];
+ vX_[3181] = vX_[3175] * vX_[395];
+ vX_[3177] = vX_[5725] * vX_[1702];
+ vX_[3106] = 0 - vX_[3307];
+ vX_[3102] = vX_[5730] * x_in[18] + vX_[3106] * x_in[20];
+ vX_[3108] = 0 - vX_[3102];
+ vX_[3104] = vX_[3102] * vX_[1702];
+ vX_[3033] = vX_[5730] * x_in[24];
+ vX_[3029] = vX_[3033] * vX_[1702];
+ vX_[3035] = vX_[3296] * x_in[26];
+ vX_[3031] = vX_[3035] * vX_[395];
+ vX_[2939] = vX_[3035] * vX_[1702];
+ vX_[2938] = vX_[3296] * x_in[25];
+ vX_[2936] = vX_[3033] * vX_[395];
+ vX_[2928] = vX_[2938] * vX_[395];
+ vX_[1870] = vX_[2938] * vX_[1702];
+ vX_[1875] = vX_[5741] * vX_[1866];
+ vX_[1922] = 0 - vX_[1875];
+ vX_[1773] = 0 - vX_[3102];
+ vX_[1572] = 0 - vX_[1875];
+ vX_[1809] = vX_[1773] * vX_[395] + vX_[1572] * vX_[395];
+ vX_[1537] = vX_[1875] * vX_[1702];
+ jac[243] =
+ 0 -
+ (0 - (vX_[5437] * vX_[4135] + vX_[1925] * x_in[22]) +
+ (vX_[5429] * vX_[4135] + vX_[1141] * vX_[487] + vX_[1925] * x_in[20]) * -0.3735 -
+ (vX_[5439] * vX_[3739] + vX_[3673] * x_in[23]) + (vX_[5424] * vX_[3739] + vX_[3673] * x_in[19]) * 0.3735 +
+ (vX_[5455] * vX_[3739] +
+ (vX_[4878] * vX_[556] + vX_[3734] * vX_[611] + vX_[3669] * vX_[500] + vX_[992] * vX_[502] +
+ vX_[4984] * vX_[472] + vX_[2041] * vX_[481] + vX_[3654] * vX_[484] + vX_[3660] * vX_[501] +
+ vX_[3702] * vX_[490] + vX_[1619] * vX_[554] + vX_[3734] * vX_[608] + vX_[4993] * vX_[443] +
+ vX_[5029] * vX_[561]) *
+ -1 +
+ vX_[3673] * x_in[18]) *
+ -0.207 -
+ (vX_[5429] * vX_[1456] + vX_[5424] * vX_[1893] + vX_[5452] * vX_[719] + vX_[3656] * vX_[717] +
+ vX_[3585] * vX_[715] + vX_[3581] * vX_[688] + vX_[3583] * vX_[490] + vX_[3512] * vX_[696] +
+ vX_[3508] * vX_[695] + vX_[3439] * vX_[472] + vX_[912] * vX_[680] + vX_[3743] * vX_[658] +
+ vX_[5440] * vX_[508] + vX_[2029] * vX_[498] + vX_[833] * vX_[681] + vX_[3726] * vX_[661] +
+ vX_[1855] * vX_[659] + vX_[827] * vX_[610] + vX_[5271] * vX_[660] + vX_[3723] * vX_[657] +
+ vX_[1764] * vX_[497] + vX_[1770] * vX_[507] + vX_[1933] * vX_[617] + vX_[2912] * vX_[615] +
+ vX_[5307] * vX_[613] + vX_[5441] * vX_[634] + vX_[2031] * vX_[635] + vX_[5448] * vX_[562] +
+ vX_[5315] * vX_[558] + vX_[2038] * vX_[612] + vX_[1141] * vX_[488] + vX_[3326] * x_in[19] +
+ vX_[3324] * x_in[20]) +
+ vX_[5690] * vX_[2077] + vX_[5726] * vX_[2079] + vX_[3681] * vX_[394] + vX_[2035] * vX_[394] +
+ vX_[5704] * vX_[394] * 0.35 + vX_[5737] * 0.3735 + vX_[1229] * 0.35 + vX_[1229] * vX_[421] * 0.08 +
+ vX_[1229] * vX_[394] * -0.3735 + vX_[2835] * vX_[421] * 0.3735 + vX_[3698] * vX_[394] * -0.08 +
+ vX_[3344] * vX_[421] * 0.207 + vX_[2056] * vX_[394] + vX_[1997] * vX_[421] * 0.3735 +
+ vX_[1997] * vX_[394] * 0.08 + vX_[17] * 0.35 + vX_[17] * vX_[394] * -0.3735 +
+ (vX_[0] * vX_[394] + vX_[5033] * vX_[421]) * 0.207 + vX_[5702] * vX_[394] * 0.207 + vX_[3435] * vX_[421] +
+ vX_[1538] * vX_[394] + (vX_[17] * vX_[421] - vX_[5729]) * 0.08 + vX_[5717] * vX_[421] * 0.35 +
+ vX_[5700] * vX_[421] * 0.33 + vX_[3299] * vX_[394] * 0.33 + (0 - vX_[3303]) * 0.08 +
+ vX_[3309] * vX_[421] * 0.35 + vX_[3295] * vX_[421] * 0.33 + vX_[3278] * vX_[394] * 0.33 +
+ vX_[5708] * vX_[394] * 0.33 + vX_[3345] * vX_[421] * 0.33 + vX_[5318] * vX_[394] * 0.35 +
+ (0 - vX_[3711]) * 0.08 + vX_[3337] * vX_[421] * 0.35 +
+ (vX_[3342] * vX_[394] + vX_[3694] * vX_[421]) * 0.33 +
+ (vX_[3692] * vX_[421] + vX_[5815] * vX_[394]) * 0.33 + (0 - vX_[5812]) * 0.08 +
+ vX_[3275] * vX_[421] * 0.35 + vX_[3286] * vX_[421] * 0.33 + vX_[3282] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[5439] * vX_[4135] + vX_[5429] * vX_[1893] + vX_[5452] * vX_[715] + vX_[3581] * vX_[490] +
+ vX_[3514] * vX_[695] + vX_[3512] * vX_[472] + vX_[3743] * vX_[661] + vX_[5440] * vX_[498] +
+ vX_[833] * vX_[680] + vX_[1855] * vX_[660] + vX_[827] * vX_[657] + vX_[1764] * vX_[507] +
+ vX_[1933] * vX_[613] + vX_[5441] * vX_[635] + vX_[5447] * vX_[558] + vX_[5448] * vX_[612] +
+ (vX_[2922] * vX_[609] + vX_[3730] * vX_[452] + vX_[5446] * vX_[502] + vX_[3658] * vX_[476] +
+ vX_[1147] * vX_[491] + vX_[3288] * vX_[475] + vX_[5450] * vX_[484] + vX_[3284] * vX_[472] +
+ vX_[5453] * vX_[490] + vX_[2033] * vX_[501] + vX_[2922] * vX_[605] + vX_[3722] * vX_[553] +
+ vX_[5446] * vX_[506] + vX_[1147] * vX_[550]) *
+ 0.207 +
+ vX_[1925] * x_in[23] + vX_[3326] * x_in[20] +
+ (vX_[5424] * vX_[4135] + vX_[1141] * vX_[485] + vX_[1925] * x_in[19]) * -0.3735 +
+ (vX_[5455] * vX_[4135] + vX_[1925] * x_in[18]) * 0.207 - (vX_[5437] * vX_[3739] + vX_[3673] * x_in[22]) +
+ (vX_[5429] * vX_[3739] + vX_[3673] * x_in[20]) * -0.3735 -
+ (vX_[5424] * vX_[1456] + vX_[3656] * vX_[716] + vX_[3585] * vX_[719] + vX_[3587] * vX_[688] +
+ vX_[3508] * vX_[472] + vX_[3510] * vX_[696] + vX_[912] * vX_[681] + vX_[2029] * vX_[508] +
+ vX_[3726] * vX_[658] + vX_[5271] * vX_[659] + vX_[3723] * vX_[610] + vX_[1770] * vX_[497] +
+ vX_[2912] * vX_[614] + vX_[5307] * vX_[617] + vX_[1613] * vX_[634] + vX_[5315] * vX_[612] +
+ vX_[2918] * vX_[562] + vX_[1141] * vX_[486] + vX_[3324] * x_in[19]) -
+ vX_[5734] * vX_[2082] + vX_[3274] * vX_[421] + vX_[3225] * vX_[421] + vX_[3271] * vX_[394] * 0.35 +
+ vX_[5705] * 0.3735 + (0 - vX_[5722]) * 0.207 - vX_[5710] * vX_[1911] + (0 - vX_[3265]) * 0.35 +
+ (0 - vX_[3265] * vX_[421]) * 0.08 + vX_[3265] * vX_[394] * 0.3735 + vX_[3261] * vX_[421] * 0.3735 +
+ vX_[3261] * vX_[394] * 0.08 + vX_[3267] * vX_[421] + vX_[3252] * vX_[421] * 0.3735 +
+ (0 - vX_[3263] * vX_[394]) * 0.08 + (0 - vX_[3248]) * 0.35 + (0 - vX_[3248] * vX_[421]) * 0.08 +
+ vX_[3248] * vX_[394] * 0.3735 + vX_[3250] * vX_[421] + vX_[5703] * vX_[394] + (0 - vX_[5725]) * 0.08 +
+ vX_[5716] * vX_[421] * 0.35 + vX_[3181] * vX_[421] * 0.33 + vX_[3177] * vX_[394] * 0.33 +
+ (0 - vX_[3102]) * 0.08 + vX_[3108] * vX_[421] * 0.35 + vX_[3104] * vX_[394] * 0.33 + vX_[3033] * 0.08 +
+ vX_[3033] * vX_[421] * 0.35 + vX_[3029] * vX_[394] * -0.33 + vX_[3031] * vX_[394] * 0.33 +
+ vX_[2939] * vX_[421] * 0.33 + vX_[2938] * vX_[394] * 0.35 +
+ (vX_[2936] * vX_[421] + vX_[2928] * vX_[394]) * 0.33 + vX_[1870] * vX_[421] * 0.33 +
+ (0 - vX_[1875]) * 0.08 + vX_[1922] * vX_[421] * 0.35 + vX_[1809] * vX_[421] * 0.33 +
+ vX_[1537] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[5705] = vX_[6131] * 0.881 + (0 - vX_[6133]) * 0.0004405 + vX_[6135] * -8.81e-05;
+ vX_[5737] = vX_[6129] * -0.881;
+ vX_[3585] = vX_[6133] * 0.1104774;
+ vX_[3656] = vX_[6137] * -8.81e-05;
+ vX_[5452] = vX_[5737] - vX_[3585] + vX_[3656];
+ vX_[3658] = vX_[5705] * vX_[42] + vX_[5452] * vX_[46];
+ vX_[3669] = vX_[6121] * 3.146 + (0 - vX_[6122]) * -0.0825825;
+ vX_[1141] = vX_[6120] * -3.146;
+ vX_[3730] = vX_[6122] * 0.47422804;
+ vX_[2031] = vX_[1141] - vX_[3730];
+ vX_[5271] = vX_[3658] + vX_[3669] * vX_[43] + vX_[2031] * vX_[15];
+ vX_[1855] = vX_[6109] * 3.44 + vX_[6112] * 0.5824264;
+ vX_[4878] = 0 - vX_[1855];
+ vX_[1613] = vX_[6103] * 3.44 + (0 - vX_[6112]) * 0.1466472;
+ vX_[5441] = vX_[6103] * vX_[490] + vX_[6075] * vX_[472] + vX_[6109] * vX_[481] + vX_[6112] * vX_[554] +
+ vX_[6114] * vX_[608];
+ vX_[3723] = vX_[5271] * -1 + vX_[4878] * vX_[10] + vX_[1613] * vX_[2916] + vX_[5441] * x_in[24];
+ vX_[3726] = 0 - vX_[5868] * vX_[4116];
+ vX_[3743] = 0 - vX_[3726];
+ vX_[827] = 0 - vX_[3726];
+ vX_[5867] = (vX_[5867] * vX_[4116] + vX_[827] * vX_[743]) * 1 / vX_[718];
+ vX_[833] = 0 - vX_[5867];
+ vX_[912] = 0 - vX_[3726];
+ vX_[992] = 0 - vX_[5867];
+ vX_[5862] = (vX_[5862] * vX_[4116] + vX_[912] * vX_[689] + vX_[992] * vX_[736]) * 1 / vX_[721];
+ vX_[1770] = 0 - vX_[5862];
+ vX_[5859] =
+ (vX_[5859] * vX_[4116] + vX_[3743] * vX_[682] + vX_[833] * vX_[730] + vX_[1770] * vX_[509]) * 1 / vX_[618];
+ vX_[827] = vX_[5869] * vX_[1853] + vX_[827] * vX_[712];
+ vX_[5869] = 0 - vX_[827];
+ vX_[5440] = 0 - vX_[5866] * vX_[1853] - vX_[5867] * vX_[712];
+ vX_[1764] = 0 - vX_[5440];
+ vX_[2029] = 0 - vX_[827];
+ vX_[2038] = 0 - vX_[5440];
+ vX_[5865] = (vX_[5865] * vX_[4108] + vX_[2029] * vX_[689] + vX_[2038] * vX_[736]) * 1 / vX_[721];
+ vX_[2918] = 0 - vX_[5865];
+ vX_[5864] =
+ (vX_[5864] * vX_[4108] + vX_[5869] * vX_[682] + vX_[1764] * vX_[730] + vX_[2918] * vX_[509]) * 1 / vX_[618];
+ vX_[2029] = vX_[5872] * vX_[41] + vX_[912] * vX_[722] + vX_[2029] * vX_[737];
+ vX_[912] = 0 - vX_[2029];
+ vX_[2038] = vX_[5873] * vX_[41] + vX_[992] * vX_[722] + vX_[2038] * vX_[737];
+ vX_[992] = 0 - vX_[2038];
+ vX_[5873] = 0 - vX_[5856] * vX_[41] - vX_[5862] * vX_[722] - vX_[5865] * vX_[737];
+ vX_[5872] = 0 - vX_[5873];
+ vX_[5861] =
+ (vX_[5861] * vX_[1647] + vX_[912] * vX_[682] + vX_[992] * vX_[730] + vX_[5872] * vX_[509]) * 1 / vX_[618];
+ vX_[5447] = 0 - vX_[5858] * vX_[801] - vX_[5859] * vX_[604] - vX_[5864] * vX_[731] - vX_[5861] * vX_[664];
+ vX_[5315] = 0 - vX_[3726];
+ vX_[2912] = 0 - vX_[5867];
+ vX_[5448] = 0 - vX_[5862];
+ vX_[5307] = 0 - vX_[5859];
+ vX_[1933] = 0 - vX_[3726];
+ vX_[5734] = 0 - vX_[5867];
+ vX_[5726] = 0 - vX_[5862];
+ vX_[5710] = 0 - vX_[5859];
+ vX_[5854] = (vX_[5854] * vX_[4116] + vX_[1933] * vX_[662] + vX_[5734] * vX_[633] + vX_[5726] * vX_[691] +
+ vX_[5710] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5690] = 0 - vX_[5854];
+ vX_[1548] = (vX_[5837] * vX_[4116] + vX_[5315] * vX_[510] + vX_[2912] * vX_[518] + vX_[5448] * vX_[690] +
+ vX_[5307] * vX_[628] + vX_[5690] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1560] = 0 - vX_[827];
+ vX_[1491] = 0 - vX_[5440];
+ vX_[1608] = 0 - vX_[5865];
+ vX_[1461] = 0 - vX_[5864];
+ vX_[1260] = 0 - vX_[827];
+ vX_[1499] = 0 - vX_[5440];
+ vX_[1227] = 0 - vX_[5865];
+ vX_[1238] = 0 - vX_[5864];
+ vX_[5863] = (vX_[5863] * vX_[4108] + vX_[1260] * vX_[662] + vX_[1499] * vX_[633] + vX_[1227] * vX_[691] +
+ vX_[1238] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[1250] = 0 - vX_[5863];
+ vX_[1181] = (vX_[5837] * vX_[4108] + vX_[1560] * vX_[510] + vX_[1491] * vX_[518] + vX_[1608] * vX_[690] +
+ vX_[1461] * vX_[628] + vX_[1250] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1296] = 0 - vX_[2029];
+ vX_[1150] = 0 - vX_[2038];
+ vX_[949] = 0 - vX_[5873];
+ vX_[1189] = 0 - vX_[5861];
+ vX_[910] = 0 - vX_[2029];
+ vX_[921] = 0 - vX_[2038];
+ vX_[935] = 0 - vX_[5873];
+ vX_[939] = 0 - vX_[5861];
+ vX_[5860] = (vX_[5860] * vX_[1647] + vX_[910] * vX_[662] + vX_[921] * vX_[633] + vX_[935] * vX_[691] +
+ vX_[939] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[987] = 0 - vX_[5860];
+ vX_[836] = (vX_[5837] * vX_[1647] + vX_[1296] * vX_[510] + vX_[1150] * vX_[518] + vX_[949] * vX_[690] +
+ vX_[1189] * vX_[628] + vX_[987] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[912] = vX_[5870] * vX_[801] + vX_[3743] * vX_[604] + vX_[5869] * vX_[731] + vX_[912] * vX_[664];
+ vX_[5869] = 0 - vX_[912];
+ vX_[992] = vX_[5871] * vX_[801] + vX_[833] * vX_[604] + vX_[1764] * vX_[731] + vX_[992] * vX_[664];
+ vX_[1764] = 0 - vX_[992];
+ vX_[5872] = vX_[5874] * vX_[801] + vX_[1770] * vX_[604] + vX_[2918] * vX_[731] + vX_[5872] * vX_[664];
+ vX_[2918] = 0 - vX_[5872];
+ vX_[1770] = 0 - vX_[5447];
+ vX_[5874] = 0 - vX_[912];
+ vX_[833] = 0 - vX_[992];
+ vX_[5871] = 0 - vX_[5872];
+ vX_[3743] = 0 - vX_[5447];
+ vX_[5857] = (vX_[5857] * vX_[3708] + vX_[5874] * vX_[662] + vX_[833] * vX_[633] + vX_[5871] * vX_[691] +
+ vX_[3743] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5870] = 0 - vX_[5857];
+ vX_[9100] = (vX_[5837] * vX_[3708] + vX_[5869] * vX_[510] + vX_[1764] * vX_[518] + vX_[2918] * vX_[690] +
+ vX_[1770] * vX_[628] + vX_[5870] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5874] = vX_[5875] * vX_[1083] + vX_[1933] * vX_[602] + vX_[1260] * vX_[725] + vX_[910] * vX_[666] +
+ vX_[5874] * vX_[668];
+ vX_[910] = 0 - vX_[5874];
+ vX_[833] =
+ vX_[5876] * vX_[1083] + vX_[5734] * vX_[602] + vX_[1499] * vX_[725] + vX_[921] * vX_[666] + vX_[833] * vX_[668];
+ vX_[921] = 0 - vX_[833];
+ vX_[5871] = vX_[5877] * vX_[1083] + vX_[5726] * vX_[602] + vX_[1227] * vX_[725] + vX_[935] * vX_[666] +
+ vX_[5871] * vX_[668];
+ vX_[935] = 0 - vX_[5871];
+ vX_[3743] = vX_[5878] * vX_[1083] + vX_[5710] * vX_[602] + vX_[1238] * vX_[725] + vX_[939] * vX_[666] +
+ vX_[3743] * vX_[668];
+ vX_[939] = 0 - vX_[3743];
+ vX_[1238] = 0 - vX_[5853] * vX_[1083] - vX_[5854] * vX_[602] - vX_[5863] * vX_[725] - vX_[5860] * vX_[666] -
+ vX_[5857] * vX_[668];
+ vX_[5710] = 0 - vX_[1238];
+ vX_[5837] = (vX_[5837] * vX_[3689] + vX_[910] * vX_[510] + vX_[921] * vX_[518] + vX_[935] * vX_[690] +
+ vX_[939] * vX_[628] + vX_[5710] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5878] = 0 - vX_[5884] * vX_[1426] - vX_[1548] * vX_[620] - vX_[1181] * vX_[723] - vX_[836] * vX_[590] -
+ vX_[9100] * vX_[624] - vX_[5837] * vX_[637];
+ vX_[1227] = vX_[5447] - vX_[5878];
+ vX_[5726] = vX_[5857] + vX_[3743];
+ vX_[5877] = vX_[1227] * vX_[487] + vX_[5726] * vX_[485];
+ vX_[1499] = vX_[1238] - vX_[5878];
+ vX_[5734] = vX_[1499] * vX_[487];
+ vX_[5876] = vX_[1227] * vX_[473] + vX_[5726] * vX_[487];
+ vX_[1260] = vX_[1499] * vX_[485];
+ vX_[1933] = vX_[5876] + vX_[1260];
+ vX_[5875] = vX_[5877] * vX_[473] + vX_[5734] * vX_[485] + vX_[1933] * vX_[487];
+ vX_[872] = 0 - vX_[5875];
+ vX_[1970] = vX_[5878] + vX_[5876] * vX_[473] + vX_[5734] * vX_[487];
+ vX_[1936] = 0 - vX_[1970];
+ vX_[9123] = vX_[5878] + vX_[5877] * vX_[487] + vX_[1260] * vX_[485];
+ vX_[921] = vX_[5880] * vX_[1426] + vX_[2912] * vX_[620] + vX_[1491] * vX_[723] + vX_[1150] * vX_[590] +
+ vX_[1764] * vX_[624] + vX_[921] * vX_[637];
+ vX_[1764] = vX_[1181] + vX_[921];
+ vX_[1150] = vX_[5860] + vX_[5871] - vX_[1764];
+ vX_[910] = vX_[5879] * vX_[1426] + vX_[5315] * vX_[620] + vX_[1560] * vX_[723] + vX_[1296] * vX_[590] +
+ vX_[5869] * vX_[624] + vX_[910] * vX_[637];
+ vX_[5869] = vX_[1548] + vX_[910];
+ vX_[1296] = 0 - (vX_[5861] + vX_[5872]) + vX_[5869];
+ vX_[1560] = (vX_[5869] * vX_[473] + vX_[1764] * vX_[487]) * -1;
+ vX_[5315] = 0 - (vX_[1150] * vX_[487] + vX_[1296] * vX_[485]) + vX_[1560];
+ vX_[5879] = vX_[5315] + vX_[1970] * vX_[474];
+ vX_[1491] = 0 - vX_[5879];
+ vX_[2912] = (vX_[5869] * vX_[487] + vX_[1764] * vX_[485]) * -1;
+ vX_[5880] = vX_[1150] * vX_[473] + vX_[1296] * vX_[487] + vX_[2912];
+ vX_[9129] = 0 - vX_[9123];
+ vX_[9125] = vX_[5880] + vX_[5875] * vX_[474] + vX_[9129] * vX_[393];
+ vX_[1622] = vX_[5864] + vX_[992];
+ vX_[9059] = vX_[5859] + vX_[912];
+ vX_[9065] = vX_[1622] * vX_[485] + vX_[9059] * vX_[487];
+ vX_[9061] = vX_[5854] + vX_[5874];
+ vX_[1310] = vX_[5863] + vX_[833];
+ vX_[8995] = vX_[9061] * vX_[487] + vX_[1310] * vX_[485];
+ vX_[9001] = vX_[9065] * vX_[473] + vX_[8995] * vX_[487];
+ vX_[5710] = vX_[5883] * vX_[1426] + vX_[5690] * vX_[620] + vX_[1250] * vX_[723] + vX_[987] * vX_[590] +
+ vX_[5870] * vX_[624] + vX_[5710] * vX_[637];
+ vX_[5870] = vX_[5837] + vX_[5710];
+ vX_[939] = vX_[5882] * vX_[1426] + vX_[5307] * vX_[620] + vX_[1461] * vX_[723] + vX_[1189] * vX_[590] +
+ vX_[1770] * vX_[624] + vX_[939] * vX_[637];
+ vX_[1770] = vX_[9100] + vX_[939];
+ vX_[1189] = 0 - vX_[1770];
+ vX_[1461] = vX_[5870] * vX_[487] + vX_[1189] * vX_[485];
+ vX_[5307] = 0 - vX_[1461];
+ vX_[5882] = vX_[9001] + vX_[5307] * vX_[393] + vX_[1936] * vX_[489];
+ vX_[987] = 0 - vX_[5882];
+ vX_[1250] = vX_[1622] * vX_[487] + vX_[9059] * vX_[473];
+ vX_[5690] = vX_[9061] * vX_[473] + vX_[1310] * vX_[487];
+ vX_[5883] = vX_[1250] * vX_[487] + vX_[5690] * vX_[485];
+ vX_[1770] = 0 - vX_[1770];
+ vX_[8997] = vX_[5870] * vX_[473] + vX_[1770] * vX_[487];
+ vX_[1001] = 0 - vX_[8997];
+ vX_[8931] = vX_[5883] + vX_[1001] * vX_[474] + vX_[9123] * vX_[489];
+ vX_[8937] = vX_[1250] * vX_[473] + vX_[5690] * vX_[487];
+ vX_[8933] = vX_[8937] + vX_[1461] * vX_[474];
+ vX_[8810] = vX_[9065] * vX_[487] + vX_[8995] * vX_[485];
+ vX_[8793] = vX_[8810] + vX_[8997] * vX_[393] + vX_[872] * vX_[489];
+ vX_[8790] = 0 - vX_[8933] + vX_[8793];
+ vX_[8807] = 0 - vX_[5875];
+ vX_[8801] = 0 - vX_[1970];
+ vX_[1936] = vX_[872] * vX_[611] + vX_[1936] * vX_[556] + vX_[9123] * vX_[452] + vX_[1491] * vX_[490] +
+ vX_[9125] * vX_[501] + vX_[987] * vX_[481] + vX_[8931] * vX_[475] + vX_[8790] * vX_[472] +
+ vX_[8807] * vX_[608] + vX_[5875] * vX_[605] + vX_[8801] * vX_[555] + vX_[9123] * vX_[559];
+ vX_[872] = 0 - vX_[5705];
+ vX_[8797] = vX_[6118] * 0.881 + (0 - vX_[6135]) * 0.1104774 + vX_[6137] * 0.0004405;
+ vX_[8803] = vX_[6129] * 0.00185880198235362 + vX_[6131] * 0.880992588508842 + vX_[6135] * -8.81e-05;
+ vX_[8799] = vX_[872] * vX_[1305] + vX_[8797] * vX_[46] + vX_[8803] * x_in[26];
+ vX_[3656] = 0 - vX_[5737] + vX_[3585] - vX_[3656];
+ vX_[3585] = 0 - vX_[8797];
+ vX_[5737] = vX_[6129] * 0.414812462825713 + vX_[6131] * 0.00185880198235362 + vX_[6137] * 8.81e-05;
+ vX_[8789] = vX_[3656] * vX_[1305] + vX_[3585] * vX_[42] - vX_[5737] * x_in[26];
+ vX_[8772] = 0 - vX_[3669];
+ vX_[8769] = vX_[6116] * 3.146 + (0 - vX_[6117]) * 0.47422804 + vX_[6127] * -0.0825825;
+ vX_[8786] = vX_[6120] * vX_[449] + vX_[6121] * vX_[448] + vX_[6117] * vX_[425] + vX_[6127] * vX_[420];
+ vX_[8780] = vX_[8799] * vX_[395] + vX_[8789] * vX_[397] + vX_[8772] * vX_[1233] + vX_[8769] * vX_[15] +
+ vX_[8786] * x_in[25];
+ vX_[3730] = 0 - vX_[1141] + vX_[3730];
+ vX_[1141] = 0 - vX_[8769];
+ vX_[8776] = vX_[6120] * vX_[447] + vX_[6121] * vX_[449] + vX_[6117] * vX_[431] + vX_[6127] * vX_[430];
+ vX_[8782] = vX_[8799] * vX_[1690] + vX_[8789] * vX_[395] + vX_[3730] * vX_[1233] + vX_[1141] * vX_[43] -
+ vX_[8776] * x_in[25];
+ vX_[8778] = vX_[6075] * -3.44;
+ vX_[8768] = vX_[6099] * 0.1466472;
+ vX_[8751] = vX_[6114] * 0.5824264;
+ vX_[8748] = 0 - vX_[8778] + vX_[8768] - vX_[8751];
+ vX_[8765] = 0 - vX_[1613];
+ vX_[8759] = vX_[6103] * vX_[501] + vX_[6075] * vX_[475] + vX_[6109] * vX_[472] + vX_[6112] * vX_[605] +
+ vX_[6114] * vX_[553];
+ vX_[8755] = vX_[8780] * vX_[1686] + vX_[8782] * vX_[421] + vX_[8748] * vX_[10] + vX_[8765] * vX_[1882] -
+ vX_[8759] * x_in[24];
+ vX_[8761] = vX_[5447] + vX_[1238] + vX_[5878] - vX_[1970] - vX_[9123];
+ vX_[8757] = 0 - vX_[8761];
+ vX_[1560] = vX_[1560] + vX_[8757] * vX_[474];
+ vX_[2912] = vX_[2912] + vX_[8761] * vX_[393];
+ vX_[8747] = 0 - vX_[9125];
+ vX_[8730] = 0 - vX_[8931];
+ vX_[935] = vX_[5881] * vX_[1426] + vX_[5448] * vX_[620] + vX_[1608] * vX_[723] + vX_[949] * vX_[590] +
+ vX_[2918] * vX_[624] + vX_[935] * vX_[637];
+ vX_[2918] = vX_[836] + vX_[935] + vX_[9059] + vX_[1310] - vX_[8937] - vX_[8810];
+ vX_[8793] = vX_[2918] - vX_[8793];
+ vX_[949] = 0 - vX_[1461];
+ vX_[1608] = 0 - vX_[5875];
+ vX_[5448] = 0 - vX_[9123];
+ vX_[5881] = vX_[3726] - vX_[5873];
+ vX_[8698] = vX_[5440] - vX_[5873];
+ vX_[8744] = vX_[5867] + vX_[827];
+ vX_[8738] = vX_[5865] + vX_[2038];
+ vX_[8734] = vX_[5862] + vX_[2029];
+ vX_[8740] = 0 - vX_[8734];
+ vX_[8736] = vX_[5881] * vX_[487] + vX_[8744] * vX_[485];
+ vX_[8725] = vX_[8698] * vX_[487];
+ vX_[8721] = vX_[5881] * vX_[473] + vX_[8744] * vX_[487];
+ vX_[8727] = vX_[8698] * vX_[485];
+ vX_[8723] = vX_[8721] + vX_[8727];
+ vX_[8652] = vX_[6118] * 0.0004405 + vX_[6129] * -8.81e-05 + vX_[6137] * -0.000227999999999999;
+ vX_[8648] = vX_[6118] * 0.1104774 + vX_[6131] * -8.81e-05 + (0 - vX_[6135]) * 0.025713;
+ vX_[8654] = (0 - vX_[6129]) * 0.0004405;
+ vX_[8650] = (0 - vX_[6131]) * 0.1104774;
+ vX_[8579] = vX_[8654] + vX_[8650];
+ vX_[8579] = vX_[872] * vX_[1931] + vX_[3656] * vX_[1617] + vX_[8652] * vX_[42] + vX_[8648] * vX_[46] +
+ vX_[8579] * vX_[1305] + vX_[8579] * vX_[1305];
+ vX_[3656] = vX_[6116] * -0.0825825 + (0 - vX_[6122]) * 0.000102 + vX_[6117] * 0.007418 + vX_[6127] * 0.002735;
+ vX_[872] = vX_[6116] * 0.47422804 + vX_[6122] * 2.1e-05 + (0 - vX_[6117]) * 0.084376 + (0 - vX_[6127]) * 0.007418;
+ vX_[8575] = (0 - vX_[6120]) * -0.0825825;
+ vX_[8581] = (0 - vX_[6121]) * 0.47422804;
+ vX_[8577] = vX_[6117] * 0.000102;
+ vX_[8506] = (0 - vX_[6127]) * 2.1e-05;
+ vX_[8502] = vX_[8575] + vX_[8581] + vX_[8577] + vX_[8506];
+ vX_[8502] = vX_[8579] + vX_[8799] * vX_[1698] + vX_[8789] * vX_[400] + vX_[8772] * vX_[1145] +
+ vX_[3730] * vX_[916] + vX_[3656] * vX_[43] + vX_[872] * vX_[15] + vX_[8502] * vX_[1233] +
+ vX_[8502] * vX_[1233];
+ vX_[3730] = vX_[6075] * 0.5824264 + (0 - vX_[6099]) * -0.022734 + vX_[6112] * -3.6e-05 + vX_[6114] * -0.133138;
+ vX_[8772] = vX_[6075] * 0.1466472 + vX_[6099] * 0.009466 + (0 - vX_[6112]) * -5.1e-05 + vX_[6114] * -0.022734;
+ vX_[8508] = (0 - vX_[6103]) * 0.5824264;
+ vX_[8504] = (0 - vX_[6109]) * 0.1466472;
+ vX_[8381] = (0 - vX_[6099]) * -3.6e-05;
+ vX_[8364] = (0 - vX_[6114]) * -5.1e-05;
+ vX_[8361] = vX_[8508] + vX_[8504] + vX_[8381] - vX_[8364];
+ vX_[8378] = vX_[6103] * vX_[506] + vX_[6075] * vX_[553] + vX_[6109] * vX_[608] + vX_[6112] * vX_[607] +
+ vX_[6114] * vX_[469];
+ vX_[8361] = vX_[8780] * vX_[1687] + vX_[8782] * vX_[439] + vX_[8502] * -1 + vX_[1855] * vX_[5] +
+ vX_[8765] * vX_[1543] + vX_[3730] * vX_[10] + vX_[8772] * vX_[2916] + vX_[8361] * vX_[1882] +
+ vX_[8361] * vX_[1882] + vX_[8378] * x_in[24];
+ vX_[6133] = vX_[6129] * 0.1104774 + vX_[6131] * 0.0004405 + vX_[6133] * 0.025941;
+ vX_[8765] = (0 - vX_[6118]) * -8.81e-05;
+ vX_[8650] = vX_[8765] + vX_[8650];
+ vX_[6137] = vX_[6118] * 0.0004405 + vX_[6129] * 8.81e-05 + vX_[6137] * 0.000468;
+ vX_[8650] = vX_[5705] * vX_[4114] + vX_[3585] * vX_[1617] + vX_[8652] * vX_[1305] + vX_[6133] * vX_[46] +
+ vX_[8650] * vX_[42] + vX_[8650] * vX_[42] + vX_[6137] * x_in[26];
+ vX_[8765] = vX_[8765] + vX_[8654];
+ vX_[6135] = vX_[6118] * -0.1104774 + vX_[6131] * -8.81e-05 + vX_[6135] * 0.026409;
+ vX_[8765] = vX_[5452] * vX_[4114] + vX_[8797] * vX_[1931] + vX_[8648] * vX_[1305] + vX_[6133] * vX_[42] +
+ vX_[8765] * vX_[46] + vX_[8765] * vX_[46] - vX_[6135] * x_in[26];
+ vX_[6133] = vX_[6120] * 0.47422804 + vX_[6121] * -0.0825825 + vX_[6122] * 0.081641 + (0 - vX_[6117]) * 2.1e-05 +
+ vX_[6127] * 0.000102;
+ vX_[8648] = (0 - vX_[6122]) * 0.007418;
+ vX_[8506] = vX_[8581] + vX_[8648] - vX_[8506];
+ vX_[8581] = vX_[6116] * vX_[415] + vX_[6120] * vX_[430] + vX_[6121] * vX_[420] + vX_[6117] * vX_[464] +
+ vX_[6127] * vX_[460];
+ vX_[8506] = vX_[3658] * -0.35 + vX_[8650] * vX_[395] + vX_[8765] * vX_[397] + vX_[3669] * vX_[4117] +
+ vX_[1141] * vX_[916] + vX_[3656] * vX_[1233] + vX_[6133] * vX_[15] + vX_[8506] * vX_[43] +
+ vX_[8506] * vX_[43] + vX_[8581] * x_in[25];
+ vX_[8648] = vX_[8575] - vX_[8648] - vX_[8577];
+ vX_[8577] = vX_[6116] * vX_[427] + vX_[6120] * vX_[431] + vX_[6121] * vX_[425] + vX_[6117] * vX_[458] +
+ vX_[6127] * vX_[464];
+ vX_[8648] = vX_[8650] * vX_[398] + vX_[8765] * vX_[395] + vX_[2031] * vX_[4117] + vX_[8769] * vX_[1145] +
+ vX_[872] * vX_[1233] + vX_[6133] * vX_[43] + vX_[8648] * vX_[15] + vX_[8648] * vX_[15] -
+ vX_[8577] * x_in[25];
+ vX_[8751] = vX_[8778] - vX_[8768] + vX_[8751];
+ vX_[8768] = vX_[6103] * 0.1466472 + vX_[6109] * 0.5824264 + vX_[6099] * -5.1e-05 + (0 - vX_[6112]) * -0.123672 +
+ (0 - vX_[6114]) * -3.6e-05;
+ vX_[8778] = vX_[6112] * -0.022734;
+ vX_[8381] = vX_[8508] - vX_[8381] - vX_[8778];
+ vX_[8508] = vX_[6103] * vX_[443] + vX_[6075] * vX_[605] + vX_[6109] * vX_[554] + vX_[6112] * vX_[552] +
+ vX_[6114] * vX_[607];
+ vX_[8381] = vX_[8506] * vX_[433] + vX_[8648] * vX_[421] + vX_[8751] * vX_[5] + vX_[1613] * vX_[4129] +
+ vX_[8768] * vX_[10] + vX_[8772] * vX_[1882] + vX_[8381] * vX_[2916] + vX_[8381] * vX_[2916] -
+ vX_[8508] * x_in[24];
+ vX_[6164] = vX_[6164] * vX_[2082];
+ vX_[8772] = vX_[6164] * vX_[395];
+ vX_[6165] = vX_[6165] * vX_[2082];
+ vX_[1613] = vX_[6165] * vX_[1702];
+ vX_[6166] = vX_[6166] * vX_[2082];
+ vX_[6133] = 0 - vX_[6166];
+ vX_[6136] = vX_[6136] * vX_[2077];
+ vX_[872] = vX_[6136] * vX_[395];
+ vX_[8769] = vX_[6136] * vX_[1702];
+ vX_[2031] = 0 - vX_[8769];
+ vX_[6152] = vX_[6152] * vX_[2089];
+ vX_[8575] = vX_[6152] * vX_[1702];
+ vX_[6140] = vX_[6140] * vX_[1911];
+ vX_[3656] = vX_[6140] * vX_[395];
+ vX_[6138] = vX_[6138] * vX_[2077];
+ vX_[1141] = vX_[6138] * vX_[395];
+ vX_[3669] = vX_[6138] * vX_[1702];
+ vX_[3658] = vX_[6152] * vX_[395];
+ vX_[6153] = vX_[6153] * vX_[2089];
+ vX_[8797] = 0 - vX_[6153];
+ vX_[5452] = vX_[8797] * vX_[395];
+ vX_[6131] = vX_[6153] * vX_[1702];
+ vX_[6118] = vX_[6164] + vX_[6140];
+ vX_[6141] = vX_[6141] * vX_[1911];
+ vX_[8654] = 0 - vX_[6165] - vX_[6141];
+ vX_[8652] = vX_[6118] * vX_[1702] + vX_[8654] * vX_[395];
+ vX_[3585] = vX_[6141] * vX_[1702];
+ vX_[6158] = vX_[6158] * vX_[2089] + vX_[6146] * vX_[2077];
+ vX_[6146] = 0 - vX_[6158];
+ vX_[5705] = 0 - vX_[6158];
+ vX_[6129] = vX_[5705] * vX_[395];
+ vX_[8372] = vX_[6158] * vX_[1702];
+ vX_[8368] = vX_[6159] * vX_[1830] + vX_[6241] * vX_[1782] + vX_[6244] * vX_[1814];
+ vX_[8374] = 0 - vX_[8368];
+ vX_[8370] = vX_[6159] * vX_[1920] + vX_[6241] * vX_[1815] + vX_[6244] * vX_[1776];
+ vX_[8360] = vX_[8374] * x_in[18] + vX_[8370] * x_in[19];
+ vX_[8343] = 0 - vX_[8360];
+ vX_[8340] = 0 - vX_[8360];
+ vX_[8357] = vX_[8340] * vX_[395];
+ vX_[8351] = vX_[8360] * vX_[1702];
+ vX_[6159] = vX_[6159] * vX_[1812] + vX_[6241] * vX_[1831] + vX_[6244] * vX_[1921];
+ jac[928] = vX_[8776] * vX_[1708] + vX_[8786] * vX_[1145] + vX_[8577] * vX_[2090] + vX_[8581] * vX_[43] + vX_[8502] +
+ vX_[6159] * vX_[1835] + vX_[8368] * vX_[1788] + vX_[8370] * vX_[1821];
+ jac[964] = vX_[5737] * vX_[1739] + vX_[8803] * vX_[1931] + vX_[6135] * vX_[6] + vX_[6137] * vX_[42] + vX_[8579] +
+ vX_[6159] * vX_[1845] + vX_[8368] * vX_[1799] + vX_[8370] * vX_[1818];
+ vX_[6135] = vX_[6159] * x_in[26];
+ vX_[6137] = vX_[6135] * vX_[395];
+ vX_[8579] = vX_[6135] * vX_[1702];
+ vX_[5737] = vX_[6159] * x_in[25];
+ vX_[8803] = vX_[8368] * x_in[24];
+ vX_[8577] = 0 - vX_[8803];
+ vX_[8581] = vX_[5737] * vX_[395];
+ vX_[8502] = 0 - vX_[8803];
+ vX_[8776] = vX_[8502] * vX_[395];
+ vX_[8786] = vX_[5737] * vX_[1702];
+ vX_[6244] = vX_[8803] * vX_[1702];
+ vX_[6241] = vX_[6170] * vX_[1876];
+ vX_[8347] = 0 - vX_[6241];
+ vX_[8353] = 0 - vX_[6241];
+ vX_[8349] = vX_[8353] * vX_[395];
+ vX_[8339] = vX_[6241] * vX_[1702];
+ vX_[8322] = 0 - vX_[1560];
+ vX_[8319] = 0 - vX_[2912];
+ vX_[2918] = 0 - vX_[2918] + vX_[8933];
+ vX_[8933] = 0 - vX_[8997];
+ vX_[8734] = 0 - vX_[8734];
+ vX_[6130] = vX_[6130] * vX_[2077];
+ vX_[8336] = vX_[6130] * vX_[1702];
+ vX_[6132] = vX_[6132] * vX_[2077];
+ vX_[8330] = 0 - vX_[6132];
+ vX_[8326] = vX_[8330] * vX_[395];
+ vX_[6134] = vX_[6134] * vX_[2077];
+ vX_[8332] = 0 - vX_[6134];
+ vX_[6151] = vX_[6151] * vX_[2089];
+ vX_[6167] = vX_[6167] * vX_[2082];
+ vX_[8328] = vX_[6167] * vX_[395];
+ vX_[8318] = vX_[6167] * vX_[1702];
+ vX_[6156] = vX_[6156] * vX_[2079];
+ vX_[8301] = vX_[6156] * vX_[1702];
+ vX_[6168] = vX_[6168] * vX_[2082];
+ vX_[8269] = vX_[6168] * vX_[395];
+ vX_[8315] = 0 - vX_[8269];
+ vX_[8309] = vX_[6168] * vX_[1702];
+ vX_[6157] = vX_[6157] * vX_[2079];
+ vX_[8305] = 0 - vX_[6157];
+ vX_[8311] = vX_[8305] * vX_[395];
+ vX_[8307] = vX_[6130] + vX_[6156];
+ vX_[6157] = vX_[6132] + vX_[6157];
+ vX_[6132] = vX_[8307] * vX_[395] + vX_[6157] * vX_[1702];
+ vX_[6154] = vX_[6154] * vX_[2089] + vX_[6145] * vX_[2082];
+ vX_[6145] = 0 - vX_[6154];
+ vX_[8296] = 0 - vX_[6154];
+ vX_[8292] = vX_[8296] * vX_[395];
+ vX_[8298] = vX_[6154] * vX_[1702];
+ vX_[8294] = 0 - vX_[8370];
+ vX_[8223] = vX_[6159] * x_in[18] + vX_[8294] * x_in[20];
+ vX_[8219] = 0 - vX_[8223];
+ vX_[8225] = vX_[8223] * vX_[1702];
+ vX_[8221] = vX_[6159] * x_in[24];
+ vX_[8150] = vX_[8221] * vX_[1702];
+ vX_[8146] = vX_[8368] * x_in[26];
+ vX_[8152] = vX_[8146] * vX_[395];
+ vX_[8148] = vX_[8146] * vX_[1702];
+ vX_[8077] = vX_[8368] * x_in[25];
+ vX_[8073] = vX_[8221] * vX_[395];
+ vX_[8079] = vX_[8077] * vX_[395];
+ vX_[8075] = vX_[8077] * vX_[1702];
+ vX_[7962] = vX_[6170] * vX_[1866];
+ vX_[7945] = 0 - vX_[7962];
+ vX_[7942] = 0 - vX_[8223];
+ vX_[7959] = 0 - vX_[7962];
+ vX_[7953] = vX_[7942] * vX_[395] + vX_[7959] * vX_[395];
+ vX_[7949] = vX_[7962] * vX_[1702];
+ jac[244] =
+ 0 -
+ (0 - (vX_[5866] * vX_[4135] + vX_[3723] * x_in[22]) +
+ (vX_[5858] * vX_[4135] + vX_[1936] * vX_[487] + vX_[3723] * x_in[20]) * -0.3735 -
+ (vX_[5868] * vX_[3739] + vX_[8755] * x_in[23]) + (vX_[5853] * vX_[3739] + vX_[8755] * x_in[19]) * 0.3735 +
+ (vX_[5884] * vX_[3739] +
+ (vX_[5307] * vX_[556] + vX_[8997] * vX_[611] + vX_[8761] * vX_[500] + vX_[9129] * vX_[502] +
+ vX_[1560] * vX_[472] + vX_[2912] * vX_[481] + vX_[8747] * vX_[484] + vX_[8730] * vX_[501] +
+ vX_[8793] * vX_[490] + vX_[949] * vX_[554] + vX_[8997] * vX_[608] + vX_[1608] * vX_[443] +
+ vX_[5448] * vX_[561]) *
+ -1 +
+ vX_[8755] * x_in[18]) *
+ -0.207 -
+ (vX_[5858] * vX_[1456] + vX_[5853] * vX_[1893] + vX_[5881] * vX_[719] + vX_[8698] * vX_[717] +
+ vX_[8744] * vX_[715] + vX_[8738] * vX_[688] + vX_[8740] * vX_[490] + vX_[8736] * vX_[696] +
+ vX_[8725] * vX_[695] + vX_[8723] * vX_[472] + vX_[1622] * vX_[680] + vX_[9061] * vX_[658] +
+ vX_[5869] * vX_[508] + vX_[1764] * vX_[498] + vX_[9059] * vX_[681] + vX_[1310] * vX_[661] +
+ vX_[1250] * vX_[659] + vX_[9065] * vX_[610] + vX_[5690] * vX_[660] + vX_[8995] * vX_[657] +
+ vX_[1150] * vX_[497] + vX_[1296] * vX_[507] + vX_[1227] * vX_[617] + vX_[1499] * vX_[615] +
+ vX_[5726] * vX_[613] + vX_[5870] * vX_[634] + vX_[1770] * vX_[635] + vX_[5877] * vX_[562] +
+ vX_[5734] * vX_[558] + vX_[1933] * vX_[612] + vX_[1936] * vX_[488] + vX_[8361] * x_in[19] +
+ vX_[8381] * x_in[20]) +
+ vX_[6119] * vX_[2077] + vX_[6155] * vX_[2079] + vX_[8772] * vX_[394] + vX_[1613] * vX_[394] +
+ vX_[6133] * vX_[394] * 0.35 + vX_[6166] * 0.3735 + vX_[872] * 0.35 + vX_[872] * vX_[421] * 0.08 +
+ vX_[872] * vX_[394] * -0.3735 + vX_[2031] * vX_[421] * 0.3735 + vX_[8769] * vX_[394] * -0.08 +
+ vX_[8575] * vX_[421] * 0.207 + vX_[3656] * vX_[394] + vX_[1141] * vX_[421] * 0.3735 +
+ vX_[1141] * vX_[394] * 0.08 + vX_[3669] * 0.35 + vX_[3669] * vX_[394] * -0.3735 +
+ (vX_[3658] * vX_[394] + vX_[5452] * vX_[421]) * 0.207 + vX_[6131] * vX_[394] * 0.207 +
+ vX_[8652] * vX_[421] + vX_[3585] * vX_[394] + (vX_[3669] * vX_[421] - vX_[6158]) * 0.08 +
+ vX_[6146] * vX_[421] * 0.35 + vX_[6129] * vX_[421] * 0.33 + vX_[8372] * vX_[394] * 0.33 +
+ (0 - vX_[8360]) * 0.08 + vX_[8343] * vX_[421] * 0.35 + vX_[8357] * vX_[421] * 0.33 +
+ vX_[8351] * vX_[394] * 0.33 + vX_[6137] * vX_[394] * 0.33 + vX_[8579] * vX_[421] * 0.33 +
+ vX_[5737] * vX_[394] * 0.35 + (0 - vX_[8803]) * 0.08 + vX_[8577] * vX_[421] * 0.35 +
+ (vX_[8581] * vX_[394] + vX_[8776] * vX_[421]) * 0.33 +
+ (vX_[8786] * vX_[421] + vX_[6244] * vX_[394]) * 0.33 + (0 - vX_[6241]) * 0.08 +
+ vX_[8347] * vX_[421] * 0.35 + vX_[8349] * vX_[421] * 0.33 + vX_[8339] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[5868] * vX_[4135] + vX_[5858] * vX_[1893] + vX_[5881] * vX_[715] + vX_[8738] * vX_[490] +
+ vX_[8721] * vX_[695] + vX_[8736] * vX_[472] + vX_[9061] * vX_[661] + vX_[5869] * vX_[498] +
+ vX_[9059] * vX_[680] + vX_[1250] * vX_[660] + vX_[9065] * vX_[657] + vX_[1150] * vX_[507] +
+ vX_[1227] * vX_[613] + vX_[5870] * vX_[635] + vX_[5876] * vX_[558] + vX_[5877] * vX_[612] +
+ (vX_[1461] * vX_[609] + vX_[1001] * vX_[452] + vX_[5875] * vX_[502] + vX_[8757] * vX_[476] +
+ vX_[1970] * vX_[491] + vX_[8322] * vX_[475] + vX_[5879] * vX_[484] + vX_[8319] * vX_[472] +
+ vX_[5882] * vX_[490] + vX_[2918] * vX_[501] + vX_[1461] * vX_[605] + vX_[8933] * vX_[553] +
+ vX_[5875] * vX_[506] + vX_[1970] * vX_[550]) *
+ 0.207 +
+ vX_[3723] * x_in[23] + vX_[8361] * x_in[20] +
+ (vX_[5853] * vX_[4135] + vX_[1936] * vX_[485] + vX_[3723] * x_in[19]) * -0.3735 +
+ (vX_[5884] * vX_[4135] + vX_[3723] * x_in[18]) * 0.207 - (vX_[5866] * vX_[3739] + vX_[8755] * x_in[22]) +
+ (vX_[5858] * vX_[3739] + vX_[8755] * x_in[20]) * -0.3735 -
+ (vX_[5853] * vX_[1456] + vX_[8698] * vX_[716] + vX_[8744] * vX_[719] + vX_[8734] * vX_[688] +
+ vX_[8725] * vX_[472] + vX_[8727] * vX_[696] + vX_[1622] * vX_[681] + vX_[1764] * vX_[508] +
+ vX_[1310] * vX_[658] + vX_[5690] * vX_[659] + vX_[8995] * vX_[610] + vX_[1296] * vX_[497] +
+ vX_[1499] * vX_[614] + vX_[5726] * vX_[617] + vX_[1189] * vX_[634] + vX_[5734] * vX_[612] +
+ vX_[1260] * vX_[562] + vX_[1936] * vX_[486] + vX_[8381] * x_in[19]) -
+ vX_[6163] * vX_[2082] + vX_[8336] * vX_[421] + vX_[8326] * vX_[421] + vX_[8332] * vX_[394] * 0.35 +
+ vX_[6134] * 0.3735 + (0 - vX_[6151]) * 0.207 - vX_[6139] * vX_[1911] + (0 - vX_[8328]) * 0.35 +
+ (0 - vX_[8328] * vX_[421]) * 0.08 + vX_[8328] * vX_[394] * 0.3735 + vX_[8318] * vX_[421] * 0.3735 +
+ vX_[8318] * vX_[394] * 0.08 + vX_[8301] * vX_[421] + vX_[8315] * vX_[421] * 0.3735 +
+ (0 - vX_[8269] * vX_[394]) * 0.08 + (0 - vX_[8309]) * 0.35 + (0 - vX_[8309] * vX_[421]) * 0.08 +
+ vX_[8309] * vX_[394] * 0.3735 + vX_[8311] * vX_[421] + vX_[6132] * vX_[394] + (0 - vX_[6154]) * 0.08 +
+ vX_[6145] * vX_[421] * 0.35 + vX_[8292] * vX_[421] * 0.33 + vX_[8298] * vX_[394] * 0.33 +
+ (0 - vX_[8223]) * 0.08 + vX_[8219] * vX_[421] * 0.35 + vX_[8225] * vX_[394] * 0.33 + vX_[8221] * 0.08 +
+ vX_[8221] * vX_[421] * 0.35 + vX_[8150] * vX_[394] * -0.33 + vX_[8152] * vX_[394] * 0.33 +
+ vX_[8148] * vX_[421] * 0.33 + vX_[8077] * vX_[394] * 0.35 +
+ (vX_[8073] * vX_[421] + vX_[8079] * vX_[394]) * 0.33 + vX_[8075] * vX_[421] * 0.33 +
+ (0 - vX_[7962]) * 0.08 + vX_[7945] * vX_[421] * 0.35 + vX_[7953] * vX_[421] * 0.33 +
+ vX_[7949] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[6134] = vX_[6560] * 0.881 + (0 - vX_[6562]) * 0.0004405 + vX_[6564] * -8.81e-05;
+ vX_[6166] = vX_[6558] * -0.881;
+ vX_[8744] = vX_[6562] * 0.1104774;
+ vX_[8698] = vX_[6566] * -8.81e-05;
+ vX_[5881] = vX_[6166] - vX_[8744] + vX_[8698];
+ vX_[8757] = vX_[6134] * vX_[42] + vX_[5881] * vX_[46];
+ vX_[8761] = vX_[6550] * 3.146 + (0 - vX_[6551]) * -0.0825825;
+ vX_[1936] = vX_[6549] * -3.146;
+ vX_[1001] = vX_[6551] * 0.47422804;
+ vX_[1770] = vX_[1936] - vX_[1001];
+ vX_[5690] = vX_[8757] + vX_[8761] * vX_[43] + vX_[1770] * vX_[15];
+ vX_[1250] = vX_[6538] * 3.44 + vX_[6541] * 0.5824264;
+ vX_[5307] = 0 - vX_[1250];
+ vX_[1189] = vX_[6532] * 3.44 + (0 - vX_[6541]) * 0.1466472;
+ vX_[5870] = vX_[6532] * vX_[490] + vX_[6504] * vX_[472] + vX_[6538] * vX_[481] + vX_[6541] * vX_[554] +
+ vX_[6543] * vX_[608];
+ vX_[8995] = vX_[5690] * -1 + vX_[5307] * vX_[10] + vX_[1189] * vX_[2916] + vX_[5870] * x_in[24];
+ vX_[1310] = 0 - vX_[6297] * vX_[4116];
+ vX_[9061] = 0 - vX_[1310];
+ vX_[9065] = 0 - vX_[1310];
+ vX_[6296] = (vX_[6296] * vX_[4116] + vX_[9065] * vX_[743]) * 1 / vX_[718];
+ vX_[9059] = 0 - vX_[6296];
+ vX_[1622] = 0 - vX_[1310];
+ vX_[9129] = 0 - vX_[6296];
+ vX_[6291] = (vX_[6291] * vX_[4116] + vX_[1622] * vX_[689] + vX_[9129] * vX_[736]) * 1 / vX_[721];
+ vX_[1296] = 0 - vX_[6291];
+ vX_[6288] =
+ (vX_[6288] * vX_[4116] + vX_[9061] * vX_[682] + vX_[9059] * vX_[730] + vX_[1296] * vX_[509]) * 1 / vX_[618];
+ vX_[9065] = vX_[6298] * vX_[1853] + vX_[9065] * vX_[712];
+ vX_[6298] = 0 - vX_[9065];
+ vX_[5869] = 0 - vX_[6295] * vX_[1853] - vX_[6296] * vX_[712];
+ vX_[1150] = 0 - vX_[5869];
+ vX_[1764] = 0 - vX_[9065];
+ vX_[1933] = 0 - vX_[5869];
+ vX_[6294] = (vX_[6294] * vX_[4108] + vX_[1764] * vX_[689] + vX_[1933] * vX_[736]) * 1 / vX_[721];
+ vX_[1260] = 0 - vX_[6294];
+ vX_[6293] =
+ (vX_[6293] * vX_[4108] + vX_[6298] * vX_[682] + vX_[1150] * vX_[730] + vX_[1260] * vX_[509]) * 1 / vX_[618];
+ vX_[1764] = vX_[6301] * vX_[41] + vX_[1622] * vX_[722] + vX_[1764] * vX_[737];
+ vX_[1622] = 0 - vX_[1764];
+ vX_[1933] = vX_[6302] * vX_[41] + vX_[9129] * vX_[722] + vX_[1933] * vX_[737];
+ vX_[9129] = 0 - vX_[1933];
+ vX_[6302] = 0 - vX_[6285] * vX_[41] - vX_[6291] * vX_[722] - vX_[6294] * vX_[737];
+ vX_[6301] = 0 - vX_[6302];
+ vX_[6290] =
+ (vX_[6290] * vX_[1647] + vX_[1622] * vX_[682] + vX_[9129] * vX_[730] + vX_[6301] * vX_[509]) * 1 / vX_[618];
+ vX_[5876] = 0 - vX_[6287] * vX_[801] - vX_[6288] * vX_[604] - vX_[6293] * vX_[731] - vX_[6290] * vX_[664];
+ vX_[5734] = 0 - vX_[1310];
+ vX_[1499] = 0 - vX_[6296];
+ vX_[5877] = 0 - vX_[6291];
+ vX_[5726] = 0 - vX_[6288];
+ vX_[1227] = 0 - vX_[1310];
+ vX_[6163] = 0 - vX_[6296];
+ vX_[6155] = 0 - vX_[6291];
+ vX_[6139] = 0 - vX_[6288];
+ vX_[6283] = (vX_[6283] * vX_[4116] + vX_[1227] * vX_[662] + vX_[6163] * vX_[633] + vX_[6155] * vX_[691] +
+ vX_[6139] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6119] = 0 - vX_[6283];
+ vX_[7955] = (vX_[6267] * vX_[4116] + vX_[5734] * vX_[510] + vX_[1499] * vX_[518] + vX_[5877] * vX_[690] +
+ vX_[5726] * vX_[628] + vX_[6119] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7951] = 0 - vX_[9065];
+ vX_[7941] = 0 - vX_[5869];
+ vX_[7924] = 0 - vX_[6294];
+ vX_[7921] = 0 - vX_[6293];
+ vX_[7938] = 0 - vX_[9065];
+ vX_[7932] = 0 - vX_[5869];
+ vX_[7928] = 0 - vX_[6294];
+ vX_[7934] = 0 - vX_[6293];
+ vX_[6292] = (vX_[6292] * vX_[4108] + vX_[7938] * vX_[662] + vX_[7932] * vX_[633] + vX_[7928] * vX_[691] +
+ vX_[7934] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7930] = 0 - vX_[6292];
+ vX_[7920] = (vX_[6267] * vX_[4108] + vX_[7951] * vX_[510] + vX_[7941] * vX_[518] + vX_[7924] * vX_[690] +
+ vX_[7921] * vX_[628] + vX_[7930] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7903] = 0 - vX_[1764];
+ vX_[7900] = 0 - vX_[1933];
+ vX_[7917] = 0 - vX_[6302];
+ vX_[7911] = 0 - vX_[6290];
+ vX_[7907] = 0 - vX_[1764];
+ vX_[7913] = 0 - vX_[1933];
+ vX_[7909] = 0 - vX_[6302];
+ vX_[7899] = 0 - vX_[6290];
+ vX_[6289] = (vX_[6289] * vX_[1647] + vX_[7907] * vX_[662] + vX_[7913] * vX_[633] + vX_[7909] * vX_[691] +
+ vX_[7899] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7882] = 0 - vX_[6289];
+ vX_[7850] = (vX_[6267] * vX_[1647] + vX_[7903] * vX_[510] + vX_[7900] * vX_[518] + vX_[7917] * vX_[690] +
+ vX_[7911] * vX_[628] + vX_[7882] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1622] = vX_[6299] * vX_[801] + vX_[9061] * vX_[604] + vX_[6298] * vX_[731] + vX_[1622] * vX_[664];
+ vX_[6298] = 0 - vX_[1622];
+ vX_[9129] = vX_[6300] * vX_[801] + vX_[9059] * vX_[604] + vX_[1150] * vX_[731] + vX_[9129] * vX_[664];
+ vX_[1150] = 0 - vX_[9129];
+ vX_[6301] = vX_[6303] * vX_[801] + vX_[1296] * vX_[604] + vX_[1260] * vX_[731] + vX_[6301] * vX_[664];
+ vX_[1260] = 0 - vX_[6301];
+ vX_[1296] = 0 - vX_[5876];
+ vX_[6303] = 0 - vX_[1622];
+ vX_[9059] = 0 - vX_[9129];
+ vX_[6300] = 0 - vX_[6301];
+ vX_[9061] = 0 - vX_[5876];
+ vX_[6286] = (vX_[6286] * vX_[3708] + vX_[6303] * vX_[662] + vX_[9059] * vX_[633] + vX_[6300] * vX_[691] +
+ vX_[9061] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6299] = 0 - vX_[6286];
+ vX_[7896] = (vX_[6267] * vX_[3708] + vX_[6298] * vX_[510] + vX_[1150] * vX_[518] + vX_[1260] * vX_[690] +
+ vX_[1296] * vX_[628] + vX_[6299] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6303] = vX_[6304] * vX_[1083] + vX_[1227] * vX_[602] + vX_[7938] * vX_[725] + vX_[7907] * vX_[666] +
+ vX_[6303] * vX_[668];
+ vX_[7907] = 0 - vX_[6303];
+ vX_[9059] = vX_[6305] * vX_[1083] + vX_[6163] * vX_[602] + vX_[7932] * vX_[725] + vX_[7913] * vX_[666] +
+ vX_[9059] * vX_[668];
+ vX_[7913] = 0 - vX_[9059];
+ vX_[6300] = vX_[6306] * vX_[1083] + vX_[6155] * vX_[602] + vX_[7928] * vX_[725] + vX_[7909] * vX_[666] +
+ vX_[6300] * vX_[668];
+ vX_[7909] = 0 - vX_[6300];
+ vX_[9061] = vX_[6307] * vX_[1083] + vX_[6139] * vX_[602] + vX_[7934] * vX_[725] + vX_[7899] * vX_[666] +
+ vX_[9061] * vX_[668];
+ vX_[7899] = 0 - vX_[9061];
+ vX_[7934] = 0 - vX_[6282] * vX_[1083] - vX_[6283] * vX_[602] - vX_[6292] * vX_[725] - vX_[6289] * vX_[666] -
+ vX_[6286] * vX_[668];
+ vX_[6139] = 0 - vX_[7934];
+ vX_[6267] = (vX_[6267] * vX_[3689] + vX_[7907] * vX_[510] + vX_[7913] * vX_[518] + vX_[7909] * vX_[690] +
+ vX_[7899] * vX_[628] + vX_[6139] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6307] = 0 - vX_[6313] * vX_[1426] - vX_[7955] * vX_[620] - vX_[7920] * vX_[723] - vX_[7850] * vX_[590] -
+ vX_[7896] * vX_[624] - vX_[6267] * vX_[637];
+ vX_[7928] = vX_[5876] - vX_[6307];
+ vX_[6155] = vX_[6286] + vX_[9061];
+ vX_[6306] = vX_[7928] * vX_[487] + vX_[6155] * vX_[485];
+ vX_[7932] = vX_[7934] - vX_[6307];
+ vX_[6163] = vX_[7932] * vX_[487];
+ vX_[6305] = vX_[7928] * vX_[473] + vX_[6155] * vX_[487];
+ vX_[7938] = vX_[7932] * vX_[485];
+ vX_[1227] = vX_[6305] + vX_[7938];
+ vX_[6304] = vX_[6306] * vX_[473] + vX_[6163] * vX_[485] + vX_[1227] * vX_[487];
+ vX_[7890] = 0 - vX_[6304];
+ vX_[7886] = vX_[6307] + vX_[6305] * vX_[473] + vX_[6163] * vX_[487];
+ vX_[7892] = 0 - vX_[7886];
+ vX_[7888] = vX_[6307] + vX_[6306] * vX_[487] + vX_[7938] * vX_[485];
+ vX_[7913] = vX_[6309] * vX_[1426] + vX_[1499] * vX_[620] + vX_[7941] * vX_[723] + vX_[7900] * vX_[590] +
+ vX_[1150] * vX_[624] + vX_[7913] * vX_[637];
+ vX_[1150] = vX_[7920] + vX_[7913];
+ vX_[7900] = vX_[6289] + vX_[6300] - vX_[1150];
+ vX_[7907] = vX_[6308] * vX_[1426] + vX_[5734] * vX_[620] + vX_[7951] * vX_[723] + vX_[7903] * vX_[590] +
+ vX_[6298] * vX_[624] + vX_[7907] * vX_[637];
+ vX_[6298] = vX_[7955] + vX_[7907];
+ vX_[7903] = 0 - (vX_[6290] + vX_[6301]) + vX_[6298];
+ vX_[7951] = (vX_[6298] * vX_[473] + vX_[1150] * vX_[487]) * -1;
+ vX_[5734] = 0 - (vX_[7900] * vX_[487] + vX_[7903] * vX_[485]) + vX_[7951];
+ vX_[6308] = vX_[5734] + vX_[7886] * vX_[474];
+ vX_[7941] = 0 - vX_[6308];
+ vX_[1499] = (vX_[6298] * vX_[487] + vX_[1150] * vX_[485]) * -1;
+ vX_[6309] = vX_[7900] * vX_[473] + vX_[7903] * vX_[487] + vX_[1499];
+ vX_[7877] = 0 - vX_[7888];
+ vX_[7873] = vX_[6309] + vX_[6304] * vX_[474] + vX_[7877] * vX_[393];
+ vX_[7879] = vX_[6293] + vX_[9129];
+ vX_[7875] = vX_[6288] + vX_[1622];
+ vX_[7804] = vX_[7879] * vX_[485] + vX_[7875] * vX_[487];
+ vX_[7800] = vX_[6283] + vX_[6303];
+ vX_[7806] = vX_[6292] + vX_[9059];
+ vX_[7802] = vX_[7800] * vX_[487] + vX_[7806] * vX_[485];
+ vX_[7731] = vX_[7804] * vX_[473] + vX_[7802] * vX_[487];
+ vX_[6139] = vX_[6312] * vX_[1426] + vX_[6119] * vX_[620] + vX_[7930] * vX_[723] + vX_[7882] * vX_[590] +
+ vX_[6299] * vX_[624] + vX_[6139] * vX_[637];
+ vX_[6299] = vX_[6267] + vX_[6139];
+ vX_[7899] = vX_[6311] * vX_[1426] + vX_[5726] * vX_[620] + vX_[7921] * vX_[723] + vX_[7911] * vX_[590] +
+ vX_[1296] * vX_[624] + vX_[7899] * vX_[637];
+ vX_[1296] = vX_[7896] + vX_[7899];
+ vX_[7911] = 0 - vX_[1296];
+ vX_[7921] = vX_[6299] * vX_[487] + vX_[7911] * vX_[485];
+ vX_[5726] = 0 - vX_[7921];
+ vX_[6311] = vX_[7731] + vX_[5726] * vX_[393] + vX_[7892] * vX_[489];
+ vX_[7882] = 0 - vX_[6311];
+ vX_[7930] = vX_[7879] * vX_[487] + vX_[7875] * vX_[473];
+ vX_[6119] = vX_[7800] * vX_[473] + vX_[7806] * vX_[487];
+ vX_[6312] = vX_[7930] * vX_[487] + vX_[6119] * vX_[485];
+ vX_[1296] = 0 - vX_[1296];
+ vX_[7727] = vX_[6299] * vX_[473] + vX_[1296] * vX_[487];
+ vX_[7733] = 0 - vX_[7727];
+ vX_[7729] = vX_[6312] + vX_[7733] * vX_[474] + vX_[7888] * vX_[489];
+ vX_[7658] = vX_[7930] * vX_[473] + vX_[6119] * vX_[487];
+ vX_[7654] = vX_[7658] + vX_[7921] * vX_[474];
+ vX_[7660] = vX_[7804] * vX_[487] + vX_[7802] * vX_[485];
+ vX_[7656] = vX_[7660] + vX_[7727] * vX_[393] + vX_[7890] * vX_[489];
+ vX_[7535] = 0 - vX_[7654] + vX_[7656];
+ vX_[7518] = 0 - vX_[6304];
+ vX_[7515] = 0 - vX_[7886];
+ vX_[7892] = vX_[7890] * vX_[611] + vX_[7892] * vX_[556] + vX_[7888] * vX_[452] + vX_[7941] * vX_[490] +
+ vX_[7873] * vX_[501] + vX_[7882] * vX_[481] + vX_[7729] * vX_[475] + vX_[7535] * vX_[472] +
+ vX_[7518] * vX_[608] + vX_[6304] * vX_[605] + vX_[7515] * vX_[555] + vX_[7888] * vX_[559];
+ vX_[7890] = 0 - vX_[6134];
+ vX_[7532] = vX_[6547] * 0.881 + (0 - vX_[6564]) * 0.1104774 + vX_[6566] * 0.0004405;
+ vX_[7526] = vX_[6558] * 0.00185880198235362 + vX_[6560] * 0.880992588508842 + vX_[6564] * -8.81e-05;
+ vX_[7522] = vX_[7890] * vX_[1305] + vX_[7532] * vX_[46] + vX_[7526] * x_in[26];
+ vX_[8698] = 0 - vX_[6166] + vX_[8744] - vX_[8698];
+ vX_[8744] = 0 - vX_[7532];
+ vX_[6166] = vX_[6558] * 0.414812462825713 + vX_[6560] * 0.00185880198235362 + vX_[6566] * 8.81e-05;
+ vX_[7528] = vX_[8698] * vX_[1305] + vX_[8744] * vX_[42] - vX_[6166] * x_in[26];
+ vX_[7524] = 0 - vX_[8761];
+ vX_[7514] = vX_[6545] * 3.146 + (0 - vX_[6546]) * 0.47422804 + vX_[6556] * -0.0825825;
+ vX_[7497] = vX_[6549] * vX_[449] + vX_[6550] * vX_[448] + vX_[6546] * vX_[425] + vX_[6556] * vX_[420];
+ vX_[7494] = vX_[7522] * vX_[395] + vX_[7528] * vX_[397] + vX_[7524] * vX_[1233] + vX_[7514] * vX_[15] +
+ vX_[7497] * x_in[25];
+ vX_[1001] = 0 - vX_[1936] + vX_[1001];
+ vX_[1936] = 0 - vX_[7514];
+ vX_[7511] = vX_[6549] * vX_[447] + vX_[6550] * vX_[449] + vX_[6546] * vX_[431] + vX_[6556] * vX_[430];
+ vX_[7505] = vX_[7522] * vX_[1690] + vX_[7528] * vX_[395] + vX_[1001] * vX_[1233] + vX_[1936] * vX_[43] -
+ vX_[7511] * x_in[25];
+ vX_[7501] = vX_[6504] * -3.44;
+ vX_[7507] = vX_[6528] * 0.1466472;
+ vX_[7503] = vX_[6543] * 0.5824264;
+ vX_[7493] = 0 - vX_[7501] + vX_[7507] - vX_[7503];
+ vX_[7476] = 0 - vX_[1189];
+ vX_[7473] = vX_[6532] * vX_[501] + vX_[6504] * vX_[475] + vX_[6538] * vX_[472] + vX_[6541] * vX_[605] +
+ vX_[6543] * vX_[553];
+ vX_[7490] = vX_[7494] * vX_[1686] + vX_[7505] * vX_[421] + vX_[7493] * vX_[10] + vX_[7476] * vX_[1882] -
+ vX_[7473] * x_in[24];
+ vX_[7484] = vX_[5876] + vX_[7934] + vX_[6307] - vX_[7886] - vX_[7888];
+ vX_[7480] = 0 - vX_[7484];
+ vX_[7951] = vX_[7951] + vX_[7480] * vX_[474];
+ vX_[1499] = vX_[1499] + vX_[7484] * vX_[393];
+ vX_[7486] = 0 - vX_[7873];
+ vX_[7482] = 0 - vX_[7729];
+ vX_[7909] = vX_[6310] * vX_[1426] + vX_[5877] * vX_[620] + vX_[7924] * vX_[723] + vX_[7917] * vX_[590] +
+ vX_[1260] * vX_[624] + vX_[7909] * vX_[637];
+ vX_[1260] = vX_[7850] + vX_[7909] + vX_[7875] + vX_[7806] - vX_[7658] - vX_[7660];
+ vX_[7656] = vX_[1260] - vX_[7656];
+ vX_[7917] = 0 - vX_[7921];
+ vX_[7924] = 0 - vX_[6304];
+ vX_[5877] = 0 - vX_[7888];
+ vX_[6310] = vX_[1310] - vX_[6302];
+ vX_[7472] = vX_[5869] - vX_[6302];
+ vX_[7455] = vX_[6296] + vX_[9065];
+ vX_[7423] = vX_[6294] + vX_[1933];
+ vX_[7469] = vX_[6291] + vX_[1764];
+ vX_[7463] = 0 - vX_[7469];
+ vX_[7459] = vX_[6310] * vX_[487] + vX_[7455] * vX_[485];
+ vX_[7465] = vX_[7472] * vX_[487];
+ vX_[7461] = vX_[6310] * vX_[473] + vX_[7455] * vX_[487];
+ vX_[7450] = vX_[7472] * vX_[485];
+ vX_[7446] = vX_[7461] + vX_[7450];
+ vX_[7452] = vX_[6547] * 0.0004405 + vX_[6558] * -8.81e-05 + vX_[6566] * -0.000227999999999999;
+ vX_[7448] = vX_[6547] * 0.1104774 + vX_[6560] * -8.81e-05 + (0 - vX_[6564]) * 0.025713;
+ vX_[7377] = (0 - vX_[6558]) * 0.0004405;
+ vX_[7373] = (0 - vX_[6560]) * 0.1104774;
+ vX_[7379] = vX_[7377] + vX_[7373];
+ vX_[7379] = vX_[7890] * vX_[1931] + vX_[8698] * vX_[1617] + vX_[7452] * vX_[42] + vX_[7448] * vX_[46] +
+ vX_[7379] * vX_[1305] + vX_[7379] * vX_[1305];
+ vX_[8698] = vX_[6545] * -0.0825825 + (0 - vX_[6551]) * 0.000102 + vX_[6546] * 0.007418 + vX_[6556] * 0.002735;
+ vX_[7890] = vX_[6545] * 0.47422804 + vX_[6551] * 2.1e-05 + (0 - vX_[6546]) * 0.084376 + (0 - vX_[6556]) * 0.007418;
+ vX_[7375] = (0 - vX_[6549]) * -0.0825825;
+ vX_[7304] = (0 - vX_[6550]) * 0.47422804;
+ vX_[7300] = vX_[6546] * 0.000102;
+ vX_[7306] = (0 - vX_[6556]) * 2.1e-05;
+ vX_[7302] = vX_[7375] + vX_[7304] + vX_[7300] + vX_[7306];
+ vX_[7302] = vX_[7379] + vX_[7522] * vX_[1698] + vX_[7528] * vX_[400] + vX_[7524] * vX_[1145] +
+ vX_[1001] * vX_[916] + vX_[8698] * vX_[43] + vX_[7890] * vX_[15] + vX_[7302] * vX_[1233] +
+ vX_[7302] * vX_[1233];
+ vX_[1001] = vX_[6504] * 0.5824264 + (0 - vX_[6528]) * -0.022734 + vX_[6541] * -3.6e-05 + vX_[6543] * -0.133138;
+ vX_[7524] = vX_[6504] * 0.1466472 + vX_[6528] * 0.009466 + (0 - vX_[6541]) * -5.1e-05 + vX_[6543] * -0.022734;
+ vX_[7231] = (0 - vX_[6532]) * 0.5824264;
+ vX_[7227] = (0 - vX_[6538]) * 0.1466472;
+ vX_[7233] = (0 - vX_[6528]) * -3.6e-05;
+ vX_[7229] = (0 - vX_[6543]) * -5.1e-05;
+ vX_[7108] = vX_[7231] + vX_[7227] + vX_[7233] - vX_[7229];
+ vX_[7091] = vX_[6532] * vX_[506] + vX_[6504] * vX_[553] + vX_[6538] * vX_[608] + vX_[6541] * vX_[607] +
+ vX_[6543] * vX_[469];
+ vX_[7108] = vX_[7494] * vX_[1687] + vX_[7505] * vX_[439] + vX_[7302] * -1 + vX_[1250] * vX_[5] +
+ vX_[7476] * vX_[1543] + vX_[1001] * vX_[10] + vX_[7524] * vX_[2916] + vX_[7108] * vX_[1882] +
+ vX_[7108] * vX_[1882] + vX_[7091] * x_in[24];
+ vX_[6562] = vX_[6558] * 0.1104774 + vX_[6560] * 0.0004405 + vX_[6562] * 0.025941;
+ vX_[7476] = (0 - vX_[6547]) * -8.81e-05;
+ vX_[7373] = vX_[7476] + vX_[7373];
+ vX_[6566] = vX_[6547] * 0.0004405 + vX_[6558] * 8.81e-05 + vX_[6566] * 0.000468;
+ vX_[7373] = vX_[6134] * vX_[4114] + vX_[8744] * vX_[1617] + vX_[7452] * vX_[1305] + vX_[6562] * vX_[46] +
+ vX_[7373] * vX_[42] + vX_[7373] * vX_[42] + vX_[6566] * x_in[26];
+ vX_[7476] = vX_[7476] + vX_[7377];
+ vX_[6564] = vX_[6547] * -0.1104774 + vX_[6560] * -8.81e-05 + vX_[6564] * 0.026409;
+ vX_[7476] = vX_[5881] * vX_[4114] + vX_[7532] * vX_[1931] + vX_[7448] * vX_[1305] + vX_[6562] * vX_[42] +
+ vX_[7476] * vX_[46] + vX_[7476] * vX_[46] - vX_[6564] * x_in[26];
+ vX_[6562] = vX_[6549] * 0.47422804 + vX_[6550] * -0.0825825 + vX_[6551] * 0.081641 + (0 - vX_[6546]) * 2.1e-05 +
+ vX_[6556] * 0.000102;
+ vX_[7448] = (0 - vX_[6551]) * 0.007418;
+ vX_[7306] = vX_[7304] + vX_[7448] - vX_[7306];
+ vX_[7304] = vX_[6545] * vX_[415] + vX_[6549] * vX_[430] + vX_[6550] * vX_[420] + vX_[6546] * vX_[464] +
+ vX_[6556] * vX_[460];
+ vX_[7306] = vX_[8757] * -0.35 + vX_[7373] * vX_[395] + vX_[7476] * vX_[397] + vX_[8761] * vX_[4117] +
+ vX_[1936] * vX_[916] + vX_[8698] * vX_[1233] + vX_[6562] * vX_[15] + vX_[7306] * vX_[43] +
+ vX_[7306] * vX_[43] + vX_[7304] * x_in[25];
+ vX_[7448] = vX_[7375] - vX_[7448] - vX_[7300];
+ vX_[7300] = vX_[6545] * vX_[427] + vX_[6549] * vX_[431] + vX_[6550] * vX_[425] + vX_[6546] * vX_[458] +
+ vX_[6556] * vX_[464];
+ vX_[7448] = vX_[7373] * vX_[398] + vX_[7476] * vX_[395] + vX_[1770] * vX_[4117] + vX_[7514] * vX_[1145] +
+ vX_[7890] * vX_[1233] + vX_[6562] * vX_[43] + vX_[7448] * vX_[15] + vX_[7448] * vX_[15] -
+ vX_[7300] * x_in[25];
+ vX_[7503] = vX_[7501] - vX_[7507] + vX_[7503];
+ vX_[7507] = vX_[6532] * 0.1466472 + vX_[6538] * 0.5824264 + vX_[6528] * -5.1e-05 + (0 - vX_[6541]) * -0.123672 +
+ (0 - vX_[6543]) * -3.6e-05;
+ vX_[7501] = vX_[6541] * -0.022734;
+ vX_[7233] = vX_[7231] - vX_[7233] - vX_[7501];
+ vX_[7231] = vX_[6532] * vX_[443] + vX_[6504] * vX_[605] + vX_[6538] * vX_[554] + vX_[6541] * vX_[552] +
+ vX_[6543] * vX_[607];
+ vX_[7233] = vX_[7306] * vX_[433] + vX_[7448] * vX_[421] + vX_[7503] * vX_[5] + vX_[1189] * vX_[4129] +
+ vX_[7507] * vX_[10] + vX_[7524] * vX_[1882] + vX_[7233] * vX_[2916] + vX_[7233] * vX_[2916] -
+ vX_[7231] * x_in[24];
+ vX_[6593] = vX_[6593] * vX_[2082];
+ vX_[7524] = vX_[6593] * vX_[395];
+ vX_[6594] = vX_[6594] * vX_[2082];
+ vX_[1189] = vX_[6594] * vX_[1702];
+ vX_[6595] = vX_[6595] * vX_[2082];
+ vX_[6562] = 0 - vX_[6595];
+ vX_[6565] = vX_[6565] * vX_[2077];
+ vX_[7890] = vX_[6565] * vX_[395];
+ vX_[7514] = vX_[6565] * vX_[1702];
+ vX_[1770] = 0 - vX_[7514];
+ vX_[6581] = vX_[6581] * vX_[2089];
+ vX_[7375] = vX_[6581] * vX_[1702];
+ vX_[6569] = vX_[6569] * vX_[1911];
+ vX_[8698] = vX_[6569] * vX_[395];
+ vX_[6567] = vX_[6567] * vX_[2077];
+ vX_[1936] = vX_[6567] * vX_[395];
+ vX_[8761] = vX_[6567] * vX_[1702];
+ vX_[8757] = vX_[6581] * vX_[395];
+ vX_[6582] = vX_[6582] * vX_[2089];
+ vX_[7532] = 0 - vX_[6582];
+ vX_[5881] = vX_[7532] * vX_[395];
+ vX_[6560] = vX_[6582] * vX_[1702];
+ vX_[6547] = vX_[6593] + vX_[6569];
+ vX_[6570] = vX_[6570] * vX_[1911];
+ vX_[7377] = 0 - vX_[6594] - vX_[6570];
+ vX_[7452] = vX_[6547] * vX_[1702] + vX_[7377] * vX_[395];
+ vX_[8744] = vX_[6570] * vX_[1702];
+ vX_[6587] = vX_[6587] * vX_[2089] + vX_[6575] * vX_[2077];
+ vX_[6575] = 0 - vX_[6587];
+ vX_[6134] = 0 - vX_[6587];
+ vX_[6558] = vX_[6134] * vX_[395];
+ vX_[7088] = vX_[6587] * vX_[1702];
+ vX_[7105] = vX_[6588] * vX_[1830] + vX_[6670] * vX_[1782] + vX_[6673] * vX_[1814];
+ vX_[7099] = 0 - vX_[7105];
+ vX_[7095] = vX_[6588] * vX_[1920] + vX_[6670] * vX_[1815] + vX_[6673] * vX_[1776];
+ vX_[7101] = vX_[7099] * x_in[18] + vX_[7095] * x_in[19];
+ vX_[7097] = 0 - vX_[7101];
+ vX_[7087] = 0 - vX_[7101];
+ vX_[7070] = vX_[7087] * vX_[395];
+ vX_[7067] = vX_[7101] * vX_[1702];
+ vX_[6588] = vX_[6588] * vX_[1812] + vX_[6670] * vX_[1831] + vX_[6673] * vX_[1921];
+ jac[929] = vX_[7511] * vX_[1708] + vX_[7497] * vX_[1145] + vX_[7300] * vX_[2090] + vX_[7304] * vX_[43] + vX_[7302] +
+ vX_[6588] * vX_[1835] + vX_[7105] * vX_[1788] + vX_[7095] * vX_[1821];
+ jac[965] = vX_[6166] * vX_[1739] + vX_[7526] * vX_[1931] + vX_[6564] * vX_[6] + vX_[6566] * vX_[42] + vX_[7379] +
+ vX_[6588] * vX_[1845] + vX_[7105] * vX_[1799] + vX_[7095] * vX_[1818];
+ vX_[6564] = vX_[6588] * x_in[26];
+ vX_[6566] = vX_[6564] * vX_[395];
+ vX_[7379] = vX_[6564] * vX_[1702];
+ vX_[6166] = vX_[6588] * x_in[25];
+ vX_[7526] = vX_[7105] * x_in[24];
+ vX_[7300] = 0 - vX_[7526];
+ vX_[7304] = vX_[6166] * vX_[395];
+ vX_[7302] = 0 - vX_[7526];
+ vX_[7511] = vX_[7302] * vX_[395];
+ vX_[7497] = vX_[6166] * vX_[1702];
+ vX_[6673] = vX_[7526] * vX_[1702];
+ vX_[6670] = vX_[6599] * vX_[1876];
+ vX_[7084] = 0 - vX_[6670];
+ vX_[7078] = 0 - vX_[6670];
+ vX_[7074] = vX_[7078] * vX_[395];
+ vX_[7080] = vX_[6670] * vX_[1702];
+ vX_[7076] = 0 - vX_[7951];
+ vX_[7066] = 0 - vX_[1499];
+ vX_[1260] = 0 - vX_[1260] + vX_[7654];
+ vX_[7654] = 0 - vX_[7727];
+ vX_[7469] = 0 - vX_[7469];
+ vX_[6559] = vX_[6559] * vX_[2077];
+ vX_[7049] = vX_[6559] * vX_[1702];
+ vX_[6561] = vX_[6561] * vX_[2077];
+ vX_[7046] = 0 - vX_[6561];
+ vX_[7063] = vX_[7046] * vX_[395];
+ vX_[6563] = vX_[6563] * vX_[2077];
+ vX_[7057] = 0 - vX_[6563];
+ vX_[6580] = vX_[6580] * vX_[2089];
+ vX_[6596] = vX_[6596] * vX_[2082];
+ vX_[7053] = vX_[6596] * vX_[395];
+ vX_[7059] = vX_[6596] * vX_[1702];
+ vX_[6585] = vX_[6585] * vX_[2079];
+ vX_[7055] = vX_[6585] * vX_[1702];
+ vX_[6597] = vX_[6597] * vX_[2082];
+ vX_[7045] = vX_[6597] * vX_[395];
+ vX_[7028] = 0 - vX_[7045];
+ vX_[6996] = vX_[6597] * vX_[1702];
+ vX_[6586] = vX_[6586] * vX_[2079];
+ vX_[7042] = 0 - vX_[6586];
+ vX_[7036] = vX_[7042] * vX_[395];
+ vX_[7032] = vX_[6559] + vX_[6585];
+ vX_[6586] = vX_[6561] + vX_[6586];
+ vX_[6561] = vX_[7032] * vX_[395] + vX_[6586] * vX_[1702];
+ vX_[6583] = vX_[6583] * vX_[2089] + vX_[6574] * vX_[2082];
+ vX_[6574] = 0 - vX_[6583];
+ vX_[7038] = 0 - vX_[6583];
+ vX_[7034] = vX_[7038] * vX_[395];
+ vX_[7023] = vX_[6583] * vX_[1702];
+ vX_[7019] = 0 - vX_[7095];
+ vX_[7025] = vX_[6588] * x_in[18] + vX_[7019] * x_in[20];
+ vX_[7021] = 0 - vX_[7025];
+ vX_[6950] = vX_[7025] * vX_[1702];
+ vX_[6946] = vX_[6588] * x_in[24];
+ vX_[6952] = vX_[6946] * vX_[1702];
+ vX_[6948] = vX_[7105] * x_in[26];
+ vX_[6877] = vX_[6948] * vX_[395];
+ vX_[6873] = vX_[6948] * vX_[1702];
+ vX_[6879] = vX_[7105] * x_in[25];
+ vX_[6875] = vX_[6946] * vX_[395];
+ vX_[6804] = vX_[6879] * vX_[395];
+ vX_[6800] = vX_[6879] * vX_[1702];
+ vX_[6806] = vX_[6599] * vX_[1866];
+ vX_[6802] = 0 - vX_[6806];
+ vX_[6689] = 0 - vX_[7025];
+ vX_[6672] = 0 - vX_[6806];
+ vX_[6669] = vX_[6689] * vX_[395] + vX_[6672] * vX_[395];
+ vX_[6686] = vX_[6806] * vX_[1702];
+ jac[245] =
+ 0 -
+ (0 - (vX_[6295] * vX_[4135] + vX_[8995] * x_in[22]) +
+ (vX_[6287] * vX_[4135] + vX_[7892] * vX_[487] + vX_[8995] * x_in[20]) * -0.3735 -
+ (vX_[6297] * vX_[3739] + vX_[7490] * x_in[23]) + (vX_[6282] * vX_[3739] + vX_[7490] * x_in[19]) * 0.3735 +
+ (vX_[6313] * vX_[3739] +
+ (vX_[5726] * vX_[556] + vX_[7727] * vX_[611] + vX_[7484] * vX_[500] + vX_[7877] * vX_[502] +
+ vX_[7951] * vX_[472] + vX_[1499] * vX_[481] + vX_[7486] * vX_[484] + vX_[7482] * vX_[501] +
+ vX_[7656] * vX_[490] + vX_[7917] * vX_[554] + vX_[7727] * vX_[608] + vX_[7924] * vX_[443] +
+ vX_[5877] * vX_[561]) *
+ -1 +
+ vX_[7490] * x_in[18]) *
+ -0.207 -
+ (vX_[6287] * vX_[1456] + vX_[6282] * vX_[1893] + vX_[6310] * vX_[719] + vX_[7472] * vX_[717] +
+ vX_[7455] * vX_[715] + vX_[7423] * vX_[688] + vX_[7463] * vX_[490] + vX_[7459] * vX_[696] +
+ vX_[7465] * vX_[695] + vX_[7446] * vX_[472] + vX_[7879] * vX_[680] + vX_[7800] * vX_[658] +
+ vX_[6298] * vX_[508] + vX_[1150] * vX_[498] + vX_[7875] * vX_[681] + vX_[7806] * vX_[661] +
+ vX_[7930] * vX_[659] + vX_[7804] * vX_[610] + vX_[6119] * vX_[660] + vX_[7802] * vX_[657] +
+ vX_[7900] * vX_[497] + vX_[7903] * vX_[507] + vX_[7928] * vX_[617] + vX_[7932] * vX_[615] +
+ vX_[6155] * vX_[613] + vX_[6299] * vX_[634] + vX_[1296] * vX_[635] + vX_[6306] * vX_[562] +
+ vX_[6163] * vX_[558] + vX_[1227] * vX_[612] + vX_[7892] * vX_[488] + vX_[7108] * x_in[19] +
+ vX_[7233] * x_in[20]) +
+ vX_[6548] * vX_[2077] + vX_[6584] * vX_[2079] + vX_[7524] * vX_[394] + vX_[1189] * vX_[394] +
+ vX_[6562] * vX_[394] * 0.35 + vX_[6595] * 0.3735 + vX_[7890] * 0.35 + vX_[7890] * vX_[421] * 0.08 +
+ vX_[7890] * vX_[394] * -0.3735 + vX_[1770] * vX_[421] * 0.3735 + vX_[7514] * vX_[394] * -0.08 +
+ vX_[7375] * vX_[421] * 0.207 + vX_[8698] * vX_[394] + vX_[1936] * vX_[421] * 0.3735 +
+ vX_[1936] * vX_[394] * 0.08 + vX_[8761] * 0.35 + vX_[8761] * vX_[394] * -0.3735 +
+ (vX_[8757] * vX_[394] + vX_[5881] * vX_[421]) * 0.207 + vX_[6560] * vX_[394] * 0.207 +
+ vX_[7452] * vX_[421] + vX_[8744] * vX_[394] + (vX_[8761] * vX_[421] - vX_[6587]) * 0.08 +
+ vX_[6575] * vX_[421] * 0.35 + vX_[6558] * vX_[421] * 0.33 + vX_[7088] * vX_[394] * 0.33 +
+ (0 - vX_[7101]) * 0.08 + vX_[7097] * vX_[421] * 0.35 + vX_[7070] * vX_[421] * 0.33 +
+ vX_[7067] * vX_[394] * 0.33 + vX_[6566] * vX_[394] * 0.33 + vX_[7379] * vX_[421] * 0.33 +
+ vX_[6166] * vX_[394] * 0.35 + (0 - vX_[7526]) * 0.08 + vX_[7300] * vX_[421] * 0.35 +
+ (vX_[7304] * vX_[394] + vX_[7511] * vX_[421]) * 0.33 +
+ (vX_[7497] * vX_[421] + vX_[6673] * vX_[394]) * 0.33 + (0 - vX_[6670]) * 0.08 +
+ vX_[7084] * vX_[421] * 0.35 + vX_[7074] * vX_[421] * 0.33 + vX_[7080] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[6297] * vX_[4135] + vX_[6287] * vX_[1893] + vX_[6310] * vX_[715] + vX_[7423] * vX_[490] +
+ vX_[7461] * vX_[695] + vX_[7459] * vX_[472] + vX_[7800] * vX_[661] + vX_[6298] * vX_[498] +
+ vX_[7875] * vX_[680] + vX_[7930] * vX_[660] + vX_[7804] * vX_[657] + vX_[7900] * vX_[507] +
+ vX_[7928] * vX_[613] + vX_[6299] * vX_[635] + vX_[6305] * vX_[558] + vX_[6306] * vX_[612] +
+ (vX_[7921] * vX_[609] + vX_[7733] * vX_[452] + vX_[6304] * vX_[502] + vX_[7480] * vX_[476] +
+ vX_[7886] * vX_[491] + vX_[7076] * vX_[475] + vX_[6308] * vX_[484] + vX_[7066] * vX_[472] +
+ vX_[6311] * vX_[490] + vX_[1260] * vX_[501] + vX_[7921] * vX_[605] + vX_[7654] * vX_[553] +
+ vX_[6304] * vX_[506] + vX_[7886] * vX_[550]) *
+ 0.207 +
+ vX_[8995] * x_in[23] + vX_[7108] * x_in[20] +
+ (vX_[6282] * vX_[4135] + vX_[7892] * vX_[485] + vX_[8995] * x_in[19]) * -0.3735 +
+ (vX_[6313] * vX_[4135] + vX_[8995] * x_in[18]) * 0.207 - (vX_[6295] * vX_[3739] + vX_[7490] * x_in[22]) +
+ (vX_[6287] * vX_[3739] + vX_[7490] * x_in[20]) * -0.3735 -
+ (vX_[6282] * vX_[1456] + vX_[7472] * vX_[716] + vX_[7455] * vX_[719] + vX_[7469] * vX_[688] +
+ vX_[7465] * vX_[472] + vX_[7450] * vX_[696] + vX_[7879] * vX_[681] + vX_[1150] * vX_[508] +
+ vX_[7806] * vX_[658] + vX_[6119] * vX_[659] + vX_[7802] * vX_[610] + vX_[7903] * vX_[497] +
+ vX_[7932] * vX_[614] + vX_[6155] * vX_[617] + vX_[7911] * vX_[634] + vX_[6163] * vX_[612] +
+ vX_[7938] * vX_[562] + vX_[7892] * vX_[486] + vX_[7233] * x_in[19]) -
+ vX_[6592] * vX_[2082] + vX_[7049] * vX_[421] + vX_[7063] * vX_[421] + vX_[7057] * vX_[394] * 0.35 +
+ vX_[6563] * 0.3735 + (0 - vX_[6580]) * 0.207 - vX_[6568] * vX_[1911] + (0 - vX_[7053]) * 0.35 +
+ (0 - vX_[7053] * vX_[421]) * 0.08 + vX_[7053] * vX_[394] * 0.3735 + vX_[7059] * vX_[421] * 0.3735 +
+ vX_[7059] * vX_[394] * 0.08 + vX_[7055] * vX_[421] + vX_[7028] * vX_[421] * 0.3735 +
+ (0 - vX_[7045] * vX_[394]) * 0.08 + (0 - vX_[6996]) * 0.35 + (0 - vX_[6996] * vX_[421]) * 0.08 +
+ vX_[6996] * vX_[394] * 0.3735 + vX_[7036] * vX_[421] + vX_[6561] * vX_[394] + (0 - vX_[6583]) * 0.08 +
+ vX_[6574] * vX_[421] * 0.35 + vX_[7034] * vX_[421] * 0.33 + vX_[7023] * vX_[394] * 0.33 +
+ (0 - vX_[7025]) * 0.08 + vX_[7021] * vX_[421] * 0.35 + vX_[6950] * vX_[394] * 0.33 + vX_[6946] * 0.08 +
+ vX_[6946] * vX_[421] * 0.35 + vX_[6952] * vX_[394] * -0.33 + vX_[6877] * vX_[394] * 0.33 +
+ vX_[6873] * vX_[421] * 0.33 + vX_[6879] * vX_[394] * 0.35 +
+ (vX_[6875] * vX_[421] + vX_[6804] * vX_[394]) * 0.33 + vX_[6800] * vX_[421] * 0.33 +
+ (0 - vX_[6806]) * 0.08 + vX_[6802] * vX_[421] * 0.35 + vX_[6669] * vX_[421] * 0.33 +
+ vX_[6686] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[6563] = vX_[6979] * 0.881 + (0 - vX_[6981]) * 0.0004405 + vX_[6983] * -8.81e-05;
+ vX_[6595] = vX_[6977] * -0.881;
+ vX_[7455] = vX_[6981] * 0.1104774;
+ vX_[7472] = vX_[6985] * -8.81e-05;
+ vX_[6310] = vX_[6595] - vX_[7455] + vX_[7472];
+ vX_[7480] = vX_[6563] * vX_[42] + vX_[6310] * vX_[46];
+ vX_[7484] = vX_[6969] * 3.146 + (0 - vX_[6970]) * -0.0825825;
+ vX_[7892] = vX_[6968] * -3.146;
+ vX_[7733] = vX_[6970] * 0.47422804;
+ vX_[1296] = vX_[7892] - vX_[7733];
+ vX_[6119] = vX_[7480] + vX_[7484] * vX_[43] + vX_[1296] * vX_[15];
+ vX_[7930] = vX_[6957] * 3.44 + vX_[6960] * 0.5824264;
+ vX_[5726] = 0 - vX_[7930];
+ vX_[7911] = vX_[6951] * 3.44 + (0 - vX_[6960]) * 0.1466472;
+ vX_[6299] = vX_[6951] * vX_[490] + vX_[6923] * vX_[472] + vX_[6957] * vX_[481] + vX_[6960] * vX_[554] +
+ vX_[6962] * vX_[608];
+ vX_[7802] = vX_[6119] * -1 + vX_[5726] * vX_[10] + vX_[7911] * vX_[2916] + vX_[6299] * x_in[24];
+ vX_[7806] = 0 - vX_[6716] * vX_[4116];
+ vX_[7800] = 0 - vX_[7806];
+ vX_[7804] = 0 - vX_[7806];
+ vX_[6715] = (vX_[6715] * vX_[4116] + vX_[7804] * vX_[743]) * 1 / vX_[718];
+ vX_[7875] = 0 - vX_[6715];
+ vX_[7879] = 0 - vX_[7806];
+ vX_[7877] = 0 - vX_[6715];
+ vX_[6710] = (vX_[6710] * vX_[4116] + vX_[7879] * vX_[689] + vX_[7877] * vX_[736]) * 1 / vX_[721];
+ vX_[7903] = 0 - vX_[6710];
+ vX_[6707] =
+ (vX_[6707] * vX_[4116] + vX_[7800] * vX_[682] + vX_[7875] * vX_[730] + vX_[7903] * vX_[509]) * 1 / vX_[618];
+ vX_[7804] = vX_[6717] * vX_[1853] + vX_[7804] * vX_[712];
+ vX_[6717] = 0 - vX_[7804];
+ vX_[6298] = 0 - vX_[6714] * vX_[1853] - vX_[6715] * vX_[712];
+ vX_[7900] = 0 - vX_[6298];
+ vX_[1150] = 0 - vX_[7804];
+ vX_[1227] = 0 - vX_[6298];
+ vX_[6713] = (vX_[6713] * vX_[4108] + vX_[1150] * vX_[689] + vX_[1227] * vX_[736]) * 1 / vX_[721];
+ vX_[7938] = 0 - vX_[6713];
+ vX_[6712] =
+ (vX_[6712] * vX_[4108] + vX_[6717] * vX_[682] + vX_[7900] * vX_[730] + vX_[7938] * vX_[509]) * 1 / vX_[618];
+ vX_[1150] = vX_[6720] * vX_[41] + vX_[7879] * vX_[722] + vX_[1150] * vX_[737];
+ vX_[7879] = 0 - vX_[1150];
+ vX_[1227] = vX_[6721] * vX_[41] + vX_[7877] * vX_[722] + vX_[1227] * vX_[737];
+ vX_[7877] = 0 - vX_[1227];
+ vX_[6721] = 0 - vX_[6704] * vX_[41] - vX_[6710] * vX_[722] - vX_[6713] * vX_[737];
+ vX_[6720] = 0 - vX_[6721];
+ vX_[6709] =
+ (vX_[6709] * vX_[1647] + vX_[7879] * vX_[682] + vX_[7877] * vX_[730] + vX_[6720] * vX_[509]) * 1 / vX_[618];
+ vX_[6305] = 0 - vX_[6706] * vX_[801] - vX_[6707] * vX_[604] - vX_[6712] * vX_[731] - vX_[6709] * vX_[664];
+ vX_[6163] = 0 - vX_[7806];
+ vX_[7932] = 0 - vX_[6715];
+ vX_[6306] = 0 - vX_[6710];
+ vX_[6155] = 0 - vX_[6707];
+ vX_[7928] = 0 - vX_[7806];
+ vX_[6592] = 0 - vX_[6715];
+ vX_[6584] = 0 - vX_[6710];
+ vX_[6568] = 0 - vX_[6707];
+ vX_[6702] = (vX_[6702] * vX_[4116] + vX_[7928] * vX_[662] + vX_[6592] * vX_[633] + vX_[6584] * vX_[691] +
+ vX_[6568] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6548] = 0 - vX_[6702];
+ vX_[6680] = (vX_[6696] * vX_[4116] + vX_[6163] * vX_[510] + vX_[7932] * vX_[518] + vX_[6306] * vX_[690] +
+ vX_[6155] * vX_[628] + vX_[6548] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6676] = 0 - vX_[7804];
+ vX_[6682] = 0 - vX_[6298];
+ vX_[6678] = 0 - vX_[6713];
+ vX_[6668] = 0 - vX_[6712];
+ vX_[6651] = 0 - vX_[7804];
+ vX_[6648] = 0 - vX_[6298];
+ vX_[6665] = 0 - vX_[6713];
+ vX_[6659] = 0 - vX_[6712];
+ vX_[6711] = (vX_[6711] * vX_[4108] + vX_[6651] * vX_[662] + vX_[6648] * vX_[633] + vX_[6665] * vX_[691] +
+ vX_[6659] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6655] = 0 - vX_[6711];
+ vX_[6661] = (vX_[6696] * vX_[4108] + vX_[6676] * vX_[510] + vX_[6682] * vX_[518] + vX_[6678] * vX_[690] +
+ vX_[6668] * vX_[628] + vX_[6655] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6657] = 0 - vX_[1150];
+ vX_[6647] = 0 - vX_[1227];
+ vX_[6630] = 0 - vX_[6721];
+ vX_[6627] = 0 - vX_[6709];
+ vX_[6644] = 0 - vX_[1150];
+ vX_[6638] = 0 - vX_[1227];
+ vX_[6634] = 0 - vX_[6721];
+ vX_[6640] = 0 - vX_[6709];
+ vX_[6708] = (vX_[6708] * vX_[1647] + vX_[6644] * vX_[662] + vX_[6638] * vX_[633] + vX_[6634] * vX_[691] +
+ vX_[6640] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6636] = 0 - vX_[6708];
+ vX_[6626] = (vX_[6696] * vX_[1647] + vX_[6657] * vX_[510] + vX_[6647] * vX_[518] + vX_[6630] * vX_[690] +
+ vX_[6627] * vX_[628] + vX_[6636] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7879] = vX_[6718] * vX_[801] + vX_[7800] * vX_[604] + vX_[6717] * vX_[731] + vX_[7879] * vX_[664];
+ vX_[6717] = 0 - vX_[7879];
+ vX_[7877] = vX_[6719] * vX_[801] + vX_[7875] * vX_[604] + vX_[7900] * vX_[731] + vX_[7877] * vX_[664];
+ vX_[7900] = 0 - vX_[7877];
+ vX_[6720] = vX_[6722] * vX_[801] + vX_[7903] * vX_[604] + vX_[7938] * vX_[731] + vX_[6720] * vX_[664];
+ vX_[7938] = 0 - vX_[6720];
+ vX_[7903] = 0 - vX_[6305];
+ vX_[6722] = 0 - vX_[7879];
+ vX_[7875] = 0 - vX_[7877];
+ vX_[6719] = 0 - vX_[6720];
+ vX_[7800] = 0 - vX_[6305];
+ vX_[6705] = (vX_[6705] * vX_[3708] + vX_[6722] * vX_[662] + vX_[7875] * vX_[633] + vX_[6719] * vX_[691] +
+ vX_[7800] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6718] = 0 - vX_[6705];
+ vX_[6609] = (vX_[6696] * vX_[3708] + vX_[6717] * vX_[510] + vX_[7900] * vX_[518] + vX_[7938] * vX_[690] +
+ vX_[7903] * vX_[628] + vX_[6718] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6722] = vX_[6723] * vX_[1083] + vX_[7928] * vX_[602] + vX_[6651] * vX_[725] + vX_[6644] * vX_[666] +
+ vX_[6722] * vX_[668];
+ vX_[6644] = 0 - vX_[6722];
+ vX_[7875] = vX_[6724] * vX_[1083] + vX_[6592] * vX_[602] + vX_[6648] * vX_[725] + vX_[6638] * vX_[666] +
+ vX_[7875] * vX_[668];
+ vX_[6638] = 0 - vX_[7875];
+ vX_[6719] = vX_[6725] * vX_[1083] + vX_[6584] * vX_[602] + vX_[6665] * vX_[725] + vX_[6634] * vX_[666] +
+ vX_[6719] * vX_[668];
+ vX_[6634] = 0 - vX_[6719];
+ vX_[7800] = vX_[6726] * vX_[1083] + vX_[6568] * vX_[602] + vX_[6659] * vX_[725] + vX_[6640] * vX_[666] +
+ vX_[7800] * vX_[668];
+ vX_[6640] = 0 - vX_[7800];
+ vX_[6659] = 0 - vX_[6701] * vX_[1083] - vX_[6702] * vX_[602] - vX_[6711] * vX_[725] - vX_[6708] * vX_[666] -
+ vX_[6705] * vX_[668];
+ vX_[6568] = 0 - vX_[6659];
+ vX_[6696] = (vX_[6696] * vX_[3689] + vX_[6644] * vX_[510] + vX_[6638] * vX_[518] + vX_[6634] * vX_[690] +
+ vX_[6640] * vX_[628] + vX_[6568] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6726] = 0 - vX_[6732] * vX_[1426] - vX_[6680] * vX_[620] - vX_[6661] * vX_[723] - vX_[6626] * vX_[590] -
+ vX_[6609] * vX_[624] - vX_[6696] * vX_[637];
+ vX_[6665] = vX_[6305] - vX_[6726];
+ vX_[6584] = vX_[6705] + vX_[7800];
+ vX_[6725] = vX_[6665] * vX_[487] + vX_[6584] * vX_[485];
+ vX_[6648] = vX_[6659] - vX_[6726];
+ vX_[6592] = vX_[6648] * vX_[487];
+ vX_[6724] = vX_[6665] * vX_[473] + vX_[6584] * vX_[487];
+ vX_[6651] = vX_[6648] * vX_[485];
+ vX_[7928] = vX_[6724] + vX_[6651];
+ vX_[6723] = vX_[6725] * vX_[473] + vX_[6592] * vX_[485] + vX_[7928] * vX_[487];
+ vX_[6577] = 0 - vX_[6723];
+ vX_[6623] = vX_[6726] + vX_[6724] * vX_[473] + vX_[6592] * vX_[487];
+ vX_[6617] = 0 - vX_[6623];
+ vX_[6613] = vX_[6726] + vX_[6725] * vX_[487] + vX_[6651] * vX_[485];
+ vX_[6638] = vX_[6728] * vX_[1426] + vX_[7932] * vX_[620] + vX_[6682] * vX_[723] + vX_[6647] * vX_[590] +
+ vX_[7900] * vX_[624] + vX_[6638] * vX_[637];
+ vX_[7900] = vX_[6661] + vX_[6638];
+ vX_[6647] = vX_[6708] + vX_[6719] - vX_[7900];
+ vX_[6644] = vX_[6727] * vX_[1426] + vX_[6163] * vX_[620] + vX_[6676] * vX_[723] + vX_[6657] * vX_[590] +
+ vX_[6717] * vX_[624] + vX_[6644] * vX_[637];
+ vX_[6717] = vX_[6680] + vX_[6644];
+ vX_[6657] = 0 - (vX_[6709] + vX_[6720]) + vX_[6717];
+ vX_[6676] = (vX_[6717] * vX_[473] + vX_[7900] * vX_[487]) * -1;
+ vX_[6163] = 0 - (vX_[6647] * vX_[487] + vX_[6657] * vX_[485]) + vX_[6676];
+ vX_[6727] = vX_[6163] + vX_[6623] * vX_[474];
+ vX_[6682] = 0 - vX_[6727];
+ vX_[7932] = (vX_[6717] * vX_[487] + vX_[7900] * vX_[485]) * -1;
+ vX_[6728] = vX_[6647] * vX_[473] + vX_[6657] * vX_[487] + vX_[7932];
+ vX_[6619] = 0 - vX_[6613];
+ vX_[6615] = vX_[6728] + vX_[6723] * vX_[474] + vX_[6619] * vX_[393];
+ vX_[6604] = vX_[6712] + vX_[7877];
+ vX_[6600] = vX_[6707] + vX_[7879];
+ vX_[6606] = vX_[6604] * vX_[485] + vX_[6600] * vX_[487];
+ vX_[6602] = vX_[6702] + vX_[6722];
+ vX_[6531] = vX_[6711] + vX_[7875];
+ vX_[6527] = vX_[6602] * vX_[487] + vX_[6531] * vX_[485];
+ vX_[6533] = vX_[6606] * vX_[473] + vX_[6527] * vX_[487];
+ vX_[6568] = vX_[6731] * vX_[1426] + vX_[6548] * vX_[620] + vX_[6655] * vX_[723] + vX_[6636] * vX_[590] +
+ vX_[6718] * vX_[624] + vX_[6568] * vX_[637];
+ vX_[6718] = vX_[6696] + vX_[6568];
+ vX_[6640] = vX_[6730] * vX_[1426] + vX_[6155] * vX_[620] + vX_[6668] * vX_[723] + vX_[6627] * vX_[590] +
+ vX_[7903] * vX_[624] + vX_[6640] * vX_[637];
+ vX_[7903] = vX_[6609] + vX_[6640];
+ vX_[6627] = 0 - vX_[7903];
+ vX_[6668] = vX_[6718] * vX_[487] + vX_[6627] * vX_[485];
+ vX_[6155] = 0 - vX_[6668];
+ vX_[6730] = vX_[6533] + vX_[6155] * vX_[393] + vX_[6617] * vX_[489];
+ vX_[6636] = 0 - vX_[6730];
+ vX_[6655] = vX_[6604] * vX_[487] + vX_[6600] * vX_[473];
+ vX_[6548] = vX_[6602] * vX_[473] + vX_[6531] * vX_[487];
+ vX_[6731] = vX_[6655] * vX_[487] + vX_[6548] * vX_[485];
+ vX_[7903] = 0 - vX_[7903];
+ vX_[6529] = vX_[6718] * vX_[473] + vX_[7903] * vX_[487];
+ vX_[6458] = 0 - vX_[6529];
+ vX_[6454] = vX_[6731] + vX_[6458] * vX_[474] + vX_[6613] * vX_[489];
+ vX_[6460] = vX_[6655] * vX_[473] + vX_[6548] * vX_[487];
+ vX_[6456] = vX_[6460] + vX_[6668] * vX_[474];
+ vX_[6385] = vX_[6606] * vX_[487] + vX_[6527] * vX_[485];
+ vX_[6381] = vX_[6385] + vX_[6529] * vX_[393] + vX_[6577] * vX_[489];
+ vX_[6387] = 0 - vX_[6456] + vX_[6381];
+ vX_[6383] = 0 - vX_[6723];
+ vX_[6260] = 0 - vX_[6623];
+ vX_[6617] = vX_[6577] * vX_[611] + vX_[6617] * vX_[556] + vX_[6613] * vX_[452] + vX_[6682] * vX_[490] +
+ vX_[6615] * vX_[501] + vX_[6636] * vX_[481] + vX_[6454] * vX_[475] + vX_[6387] * vX_[472] +
+ vX_[6383] * vX_[608] + vX_[6723] * vX_[605] + vX_[6260] * vX_[555] + vX_[6613] * vX_[559];
+ vX_[6577] = 0 - vX_[6563];
+ vX_[6243] = vX_[6966] * 0.881 + (0 - vX_[6983]) * 0.1104774 + vX_[6985] * 0.0004405;
+ vX_[6240] = vX_[6977] * 0.00185880198235362 + vX_[6979] * 0.880992588508842 + vX_[6983] * -8.81e-05;
+ vX_[6257] = vX_[6577] * vX_[1305] + vX_[6243] * vX_[46] + vX_[6240] * x_in[26];
+ vX_[7472] = 0 - vX_[6595] + vX_[7455] - vX_[7472];
+ vX_[7455] = 0 - vX_[6243];
+ vX_[6595] = vX_[6977] * 0.414812462825713 + vX_[6979] * 0.00185880198235362 + vX_[6985] * 8.81e-05;
+ vX_[6251] = vX_[7472] * vX_[1305] + vX_[7455] * vX_[42] - vX_[6595] * x_in[26];
+ vX_[6247] = 0 - vX_[7484];
+ vX_[6253] = vX_[6964] * 3.146 + (0 - vX_[6965]) * 0.47422804 + vX_[6975] * -0.0825825;
+ vX_[6249] = vX_[6968] * vX_[449] + vX_[6969] * vX_[448] + vX_[6965] * vX_[425] + vX_[6975] * vX_[420];
+ vX_[6239] = vX_[6257] * vX_[395] + vX_[6251] * vX_[397] + vX_[6247] * vX_[1233] + vX_[6253] * vX_[15] +
+ vX_[6249] * x_in[25];
+ vX_[7733] = 0 - vX_[7892] + vX_[7733];
+ vX_[7892] = 0 - vX_[6253];
+ vX_[6222] = vX_[6968] * vX_[447] + vX_[6969] * vX_[449] + vX_[6965] * vX_[431] + vX_[6975] * vX_[430];
+ vX_[6219] = vX_[6257] * vX_[1690] + vX_[6251] * vX_[395] + vX_[7733] * vX_[1233] + vX_[7892] * vX_[43] -
+ vX_[6222] * x_in[25];
+ vX_[6236] = vX_[6923] * -3.44;
+ vX_[6230] = vX_[6947] * 0.1466472;
+ vX_[6226] = vX_[6962] * 0.5824264;
+ vX_[6232] = 0 - vX_[6236] + vX_[6230] - vX_[6226];
+ vX_[6228] = 0 - vX_[7911];
+ vX_[6218] = vX_[6951] * vX_[501] + vX_[6923] * vX_[475] + vX_[6957] * vX_[472] + vX_[6960] * vX_[605] +
+ vX_[6962] * vX_[553];
+ vX_[6201] = vX_[6239] * vX_[1686] + vX_[6219] * vX_[421] + vX_[6232] * vX_[10] + vX_[6228] * vX_[1882] -
+ vX_[6218] * x_in[24];
+ vX_[6198] = vX_[6305] + vX_[6659] + vX_[6726] - vX_[6623] - vX_[6613];
+ vX_[6215] = 0 - vX_[6198];
+ vX_[6676] = vX_[6676] + vX_[6215] * vX_[474];
+ vX_[7932] = vX_[7932] + vX_[6198] * vX_[393];
+ vX_[6209] = 0 - vX_[6615];
+ vX_[6205] = 0 - vX_[6454];
+ vX_[6634] = vX_[6729] * vX_[1426] + vX_[6306] * vX_[620] + vX_[6678] * vX_[723] + vX_[6630] * vX_[590] +
+ vX_[7938] * vX_[624] + vX_[6634] * vX_[637];
+ vX_[7938] = vX_[6626] + vX_[6634] + vX_[6600] + vX_[6531] - vX_[6460] - vX_[6385];
+ vX_[6381] = vX_[7938] - vX_[6381];
+ vX_[6630] = 0 - vX_[6668];
+ vX_[6678] = 0 - vX_[6723];
+ vX_[6306] = 0 - vX_[6613];
+ vX_[6729] = vX_[7806] - vX_[6721];
+ vX_[6211] = vX_[6298] - vX_[6721];
+ vX_[6207] = vX_[6715] + vX_[7804];
+ vX_[6197] = vX_[6713] + vX_[1227];
+ vX_[6180] = vX_[6710] + vX_[1150];
+ vX_[6148] = 0 - vX_[6180];
+ vX_[6194] = vX_[6729] * vX_[487] + vX_[6207] * vX_[485];
+ vX_[6188] = vX_[6211] * vX_[487];
+ vX_[6184] = vX_[6729] * vX_[473] + vX_[6207] * vX_[487];
+ vX_[6190] = vX_[6211] * vX_[485];
+ vX_[6186] = vX_[6184] + vX_[6190];
+ vX_[6175] = vX_[6966] * 0.0004405 + vX_[6977] * -8.81e-05 + vX_[6985] * -0.000227999999999999;
+ vX_[6171] = vX_[6966] * 0.1104774 + vX_[6979] * -8.81e-05 + (0 - vX_[6983]) * 0.025713;
+ vX_[6177] = (0 - vX_[6977]) * 0.0004405;
+ vX_[6173] = (0 - vX_[6979]) * 0.1104774;
+ vX_[6102] = vX_[6177] + vX_[6173];
+ vX_[6102] = vX_[6577] * vX_[1931] + vX_[7472] * vX_[1617] + vX_[6175] * vX_[42] + vX_[6171] * vX_[46] +
+ vX_[6102] * vX_[1305] + vX_[6102] * vX_[1305];
+ vX_[7472] = vX_[6964] * -0.0825825 + (0 - vX_[6970]) * 0.000102 + vX_[6965] * 0.007418 + vX_[6975] * 0.002735;
+ vX_[6577] = vX_[6964] * 0.47422804 + vX_[6970] * 2.1e-05 + (0 - vX_[6965]) * 0.084376 + (0 - vX_[6975]) * 0.007418;
+ vX_[6098] = (0 - vX_[6968]) * -0.0825825;
+ vX_[6104] = (0 - vX_[6969]) * 0.47422804;
+ vX_[6100] = vX_[6965] * 0.000102;
+ vX_[6029] = (0 - vX_[6975]) * 2.1e-05;
+ vX_[6025] = vX_[6098] + vX_[6104] + vX_[6100] + vX_[6029];
+ vX_[6025] = vX_[6102] + vX_[6257] * vX_[1698] + vX_[6251] * vX_[400] + vX_[6247] * vX_[1145] +
+ vX_[7733] * vX_[916] + vX_[7472] * vX_[43] + vX_[6577] * vX_[15] + vX_[6025] * vX_[1233] +
+ vX_[6025] * vX_[1233];
+ vX_[7733] = vX_[6923] * 0.5824264 + (0 - vX_[6947]) * -0.022734 + vX_[6960] * -3.6e-05 + vX_[6962] * -0.133138;
+ vX_[6247] = vX_[6923] * 0.1466472 + vX_[6947] * 0.009466 + (0 - vX_[6960]) * -5.1e-05 + vX_[6962] * -0.022734;
+ vX_[6031] = (0 - vX_[6951]) * 0.5824264;
+ vX_[6027] = (0 - vX_[6957]) * 0.1466472;
+ vX_[5956] = (0 - vX_[6947]) * -3.6e-05;
+ vX_[5952] = (0 - vX_[6962]) * -5.1e-05;
+ vX_[5958] = vX_[6031] + vX_[6027] + vX_[5956] - vX_[5952];
+ vX_[5954] = vX_[6951] * vX_[506] + vX_[6923] * vX_[553] + vX_[6957] * vX_[608] + vX_[6960] * vX_[607] +
+ vX_[6962] * vX_[469];
+ vX_[5958] = vX_[6239] * vX_[1687] + vX_[6219] * vX_[439] + vX_[6025] * -1 + vX_[7930] * vX_[5] +
+ vX_[6228] * vX_[1543] + vX_[7733] * vX_[10] + vX_[6247] * vX_[2916] + vX_[5958] * vX_[1882] +
+ vX_[5958] * vX_[1882] + vX_[5954] * x_in[24];
+ vX_[6981] = vX_[6977] * 0.1104774 + vX_[6979] * 0.0004405 + vX_[6981] * 0.025941;
+ vX_[6228] = (0 - vX_[6966]) * -8.81e-05;
+ vX_[6173] = vX_[6228] + vX_[6173];
+ vX_[6985] = vX_[6966] * 0.0004405 + vX_[6977] * 8.81e-05 + vX_[6985] * 0.000468;
+ vX_[6173] = vX_[6563] * vX_[4114] + vX_[7455] * vX_[1617] + vX_[6175] * vX_[1305] + vX_[6981] * vX_[46] +
+ vX_[6173] * vX_[42] + vX_[6173] * vX_[42] + vX_[6985] * x_in[26];
+ vX_[6228] = vX_[6228] + vX_[6177];
+ vX_[6983] = vX_[6966] * -0.1104774 + vX_[6979] * -8.81e-05 + vX_[6983] * 0.026409;
+ vX_[6228] = vX_[6310] * vX_[4114] + vX_[6243] * vX_[1931] + vX_[6171] * vX_[1305] + vX_[6981] * vX_[42] +
+ vX_[6228] * vX_[46] + vX_[6228] * vX_[46] - vX_[6983] * x_in[26];
+ vX_[6981] = vX_[6968] * 0.47422804 + vX_[6969] * -0.0825825 + vX_[6970] * 0.081641 + (0 - vX_[6965]) * 2.1e-05 +
+ vX_[6975] * 0.000102;
+ vX_[6171] = (0 - vX_[6970]) * 0.007418;
+ vX_[6029] = vX_[6104] + vX_[6171] - vX_[6029];
+ vX_[6104] = vX_[6964] * vX_[415] + vX_[6968] * vX_[430] + vX_[6969] * vX_[420] + vX_[6965] * vX_[464] +
+ vX_[6975] * vX_[460];
+ vX_[6029] = vX_[7480] * -0.35 + vX_[6173] * vX_[395] + vX_[6228] * vX_[397] + vX_[7484] * vX_[4117] +
+ vX_[7892] * vX_[916] + vX_[7472] * vX_[1233] + vX_[6981] * vX_[15] + vX_[6029] * vX_[43] +
+ vX_[6029] * vX_[43] + vX_[6104] * x_in[25];
+ vX_[6171] = vX_[6098] - vX_[6171] - vX_[6100];
+ vX_[6100] = vX_[6964] * vX_[427] + vX_[6968] * vX_[431] + vX_[6969] * vX_[425] + vX_[6965] * vX_[458] +
+ vX_[6975] * vX_[464];
+ vX_[6171] = vX_[6173] * vX_[398] + vX_[6228] * vX_[395] + vX_[1296] * vX_[4117] + vX_[6253] * vX_[1145] +
+ vX_[6577] * vX_[1233] + vX_[6981] * vX_[43] + vX_[6171] * vX_[15] + vX_[6171] * vX_[15] -
+ vX_[6100] * x_in[25];
+ vX_[6226] = vX_[6236] - vX_[6230] + vX_[6226];
+ vX_[6230] = vX_[6951] * 0.1466472 + vX_[6957] * 0.5824264 + vX_[6947] * -5.1e-05 + (0 - vX_[6960]) * -0.123672 +
+ (0 - vX_[6962]) * -3.6e-05;
+ vX_[6236] = vX_[6960] * -0.022734;
+ vX_[5956] = vX_[6031] - vX_[5956] - vX_[6236];
+ vX_[6031] = vX_[6951] * vX_[443] + vX_[6923] * vX_[605] + vX_[6957] * vX_[554] + vX_[6960] * vX_[552] +
+ vX_[6962] * vX_[607];
+ vX_[5956] = vX_[6029] * vX_[433] + vX_[6171] * vX_[421] + vX_[6226] * vX_[5] + vX_[7911] * vX_[4129] +
+ vX_[6230] * vX_[10] + vX_[6247] * vX_[1882] + vX_[5956] * vX_[2916] + vX_[5956] * vX_[2916] -
+ vX_[6031] * x_in[24];
+ vX_[7012] = vX_[7012] * vX_[2082];
+ vX_[6247] = vX_[7012] * vX_[395];
+ vX_[7013] = vX_[7013] * vX_[2082];
+ vX_[7911] = vX_[7013] * vX_[1702];
+ vX_[7014] = vX_[7014] * vX_[2082];
+ vX_[6981] = 0 - vX_[7014];
+ vX_[6984] = vX_[6984] * vX_[2077];
+ vX_[6577] = vX_[6984] * vX_[395];
+ vX_[6253] = vX_[6984] * vX_[1702];
+ vX_[1296] = 0 - vX_[6253];
+ vX_[7000] = vX_[7000] * vX_[2089];
+ vX_[6098] = vX_[7000] * vX_[1702];
+ vX_[6988] = vX_[6988] * vX_[1911];
+ vX_[7472] = vX_[6988] * vX_[395];
+ vX_[6986] = vX_[6986] * vX_[2077];
+ vX_[7892] = vX_[6986] * vX_[395];
+ vX_[7484] = vX_[6986] * vX_[1702];
+ vX_[7480] = vX_[7000] * vX_[395];
+ vX_[7001] = vX_[7001] * vX_[2089];
+ vX_[6243] = 0 - vX_[7001];
+ vX_[6310] = vX_[6243] * vX_[395];
+ vX_[6979] = vX_[7001] * vX_[1702];
+ vX_[6966] = vX_[7012] + vX_[6988];
+ vX_[6989] = vX_[6989] * vX_[1911];
+ vX_[6177] = 0 - vX_[7013] - vX_[6989];
+ vX_[6175] = vX_[6966] * vX_[1702] + vX_[6177] * vX_[395];
+ vX_[7455] = vX_[6989] * vX_[1702];
+ vX_[7006] = vX_[7006] * vX_[2089] + vX_[6994] * vX_[2077];
+ vX_[6994] = 0 - vX_[7006];
+ vX_[6563] = 0 - vX_[7006];
+ vX_[6977] = vX_[6563] * vX_[395];
+ vX_[5831] = vX_[7006] * vX_[1702];
+ vX_[5814] = vX_[7007] * vX_[1830] + vX_[7089] * vX_[1782] + vX_[7092] * vX_[1814];
+ vX_[5811] = 0 - vX_[5814];
+ vX_[5828] = vX_[7007] * vX_[1920] + vX_[7089] * vX_[1815] + vX_[7092] * vX_[1776];
+ vX_[5822] = vX_[5811] * x_in[18] + vX_[5828] * x_in[19];
+ vX_[5818] = 0 - vX_[5822];
+ vX_[5824] = 0 - vX_[5822];
+ vX_[5820] = vX_[5824] * vX_[395];
+ vX_[5810] = vX_[5822] * vX_[1702];
+ vX_[7007] = vX_[7007] * vX_[1812] + vX_[7089] * vX_[1831] + vX_[7092] * vX_[1921];
+ jac[930] = vX_[6222] * vX_[1708] + vX_[6249] * vX_[1145] + vX_[6100] * vX_[2090] + vX_[6104] * vX_[43] + vX_[6025] +
+ vX_[7007] * vX_[1835] + vX_[5814] * vX_[1788] + vX_[5828] * vX_[1821];
+ jac[966] = vX_[6595] * vX_[1739] + vX_[6240] * vX_[1931] + vX_[6983] * vX_[6] + vX_[6985] * vX_[42] + vX_[6102] +
+ vX_[7007] * vX_[1845] + vX_[5814] * vX_[1799] + vX_[5828] * vX_[1818];
+ vX_[6983] = vX_[7007] * x_in[26];
+ vX_[6985] = vX_[6983] * vX_[395];
+ vX_[6102] = vX_[6983] * vX_[1702];
+ vX_[6595] = vX_[7007] * x_in[25];
+ vX_[6240] = vX_[5814] * x_in[24];
+ vX_[6100] = 0 - vX_[6240];
+ vX_[6104] = vX_[6595] * vX_[395];
+ vX_[6025] = 0 - vX_[6240];
+ vX_[6222] = vX_[6025] * vX_[395];
+ vX_[6249] = vX_[6595] * vX_[1702];
+ vX_[7092] = vX_[6240] * vX_[1702];
+ vX_[7089] = vX_[7018] * vX_[1876];
+ vX_[5793] = 0 - vX_[7089];
+ vX_[5790] = 0 - vX_[7089];
+ vX_[5807] = vX_[5790] * vX_[395];
+ vX_[5801] = vX_[7089] * vX_[1702];
+ vX_[5797] = 0 - vX_[6676];
+ vX_[5803] = 0 - vX_[7932];
+ vX_[7938] = 0 - vX_[7938] + vX_[6456];
+ vX_[6456] = 0 - vX_[6529];
+ vX_[6180] = 0 - vX_[6180];
+ vX_[6978] = vX_[6978] * vX_[2077];
+ vX_[5799] = vX_[6978] * vX_[1702];
+ vX_[6980] = vX_[6980] * vX_[2077];
+ vX_[5789] = 0 - vX_[6980];
+ vX_[5772] = vX_[5789] * vX_[395];
+ vX_[6982] = vX_[6982] * vX_[2077];
+ vX_[5769] = 0 - vX_[6982];
+ vX_[6999] = vX_[6999] * vX_[2089];
+ vX_[7015] = vX_[7015] * vX_[2082];
+ vX_[5786] = vX_[7015] * vX_[395];
+ vX_[5780] = vX_[7015] * vX_[1702];
+ vX_[7004] = vX_[7004] * vX_[2079];
+ vX_[5776] = vX_[7004] * vX_[1702];
+ vX_[7016] = vX_[7016] * vX_[2082];
+ vX_[5782] = vX_[7016] * vX_[395];
+ vX_[5778] = 0 - vX_[5782];
+ vX_[5768] = vX_[7016] * vX_[1702];
+ vX_[7005] = vX_[7005] * vX_[2079];
+ vX_[5751] = 0 - vX_[7005];
+ vX_[5719] = vX_[5751] * vX_[395];
+ vX_[5765] = vX_[6978] + vX_[7004];
+ vX_[7005] = vX_[6980] + vX_[7005];
+ vX_[6980] = vX_[5765] * vX_[395] + vX_[7005] * vX_[1702];
+ vX_[7002] = vX_[7002] * vX_[2089] + vX_[6993] * vX_[2082];
+ vX_[6993] = 0 - vX_[7002];
+ vX_[5759] = 0 - vX_[7002];
+ vX_[5755] = vX_[5759] * vX_[395];
+ vX_[5761] = vX_[7002] * vX_[1702];
+ vX_[5757] = 0 - vX_[5828];
+ vX_[5746] = vX_[7007] * x_in[18] + vX_[5757] * x_in[20];
+ vX_[5742] = 0 - vX_[5746];
+ vX_[5748] = vX_[5746] * vX_[1702];
+ vX_[5744] = vX_[7007] * x_in[24];
+ vX_[5673] = vX_[5744] * vX_[1702];
+ vX_[5669] = vX_[5814] * x_in[26];
+ vX_[5675] = vX_[5669] * vX_[395];
+ vX_[5671] = vX_[5669] * vX_[1702];
+ vX_[5600] = vX_[5814] * x_in[25];
+ vX_[5596] = vX_[5744] * vX_[395];
+ vX_[5602] = vX_[5600] * vX_[395];
+ vX_[5598] = vX_[5600] * vX_[1702];
+ vX_[5527] = vX_[7018] * vX_[1866];
+ vX_[5523] = 0 - vX_[5527];
+ vX_[5529] = 0 - vX_[5746];
+ vX_[5525] = 0 - vX_[5527];
+ vX_[5412] = vX_[5529] * vX_[395] + vX_[5525] * vX_[395];
+ vX_[5395] = vX_[5527] * vX_[1702];
+ jac[246] =
+ 0 -
+ (0 - (vX_[6714] * vX_[4135] + vX_[7802] * x_in[22]) +
+ (vX_[6706] * vX_[4135] + vX_[6617] * vX_[487] + vX_[7802] * x_in[20]) * -0.3735 -
+ (vX_[6716] * vX_[3739] + vX_[6201] * x_in[23]) + (vX_[6701] * vX_[3739] + vX_[6201] * x_in[19]) * 0.3735 +
+ (vX_[6732] * vX_[3739] +
+ (vX_[6155] * vX_[556] + vX_[6529] * vX_[611] + vX_[6198] * vX_[500] + vX_[6619] * vX_[502] +
+ vX_[6676] * vX_[472] + vX_[7932] * vX_[481] + vX_[6209] * vX_[484] + vX_[6205] * vX_[501] +
+ vX_[6381] * vX_[490] + vX_[6630] * vX_[554] + vX_[6529] * vX_[608] + vX_[6678] * vX_[443] +
+ vX_[6306] * vX_[561]) *
+ -1 +
+ vX_[6201] * x_in[18]) *
+ -0.207 -
+ (vX_[6706] * vX_[1456] + vX_[6701] * vX_[1893] + vX_[6729] * vX_[719] + vX_[6211] * vX_[717] +
+ vX_[6207] * vX_[715] + vX_[6197] * vX_[688] + vX_[6148] * vX_[490] + vX_[6194] * vX_[696] +
+ vX_[6188] * vX_[695] + vX_[6186] * vX_[472] + vX_[6604] * vX_[680] + vX_[6602] * vX_[658] +
+ vX_[6717] * vX_[508] + vX_[7900] * vX_[498] + vX_[6600] * vX_[681] + vX_[6531] * vX_[661] +
+ vX_[6655] * vX_[659] + vX_[6606] * vX_[610] + vX_[6548] * vX_[660] + vX_[6527] * vX_[657] +
+ vX_[6647] * vX_[497] + vX_[6657] * vX_[507] + vX_[6665] * vX_[617] + vX_[6648] * vX_[615] +
+ vX_[6584] * vX_[613] + vX_[6718] * vX_[634] + vX_[7903] * vX_[635] + vX_[6725] * vX_[562] +
+ vX_[6592] * vX_[558] + vX_[7928] * vX_[612] + vX_[6617] * vX_[488] + vX_[5958] * x_in[19] +
+ vX_[5956] * x_in[20]) +
+ vX_[6967] * vX_[2077] + vX_[7003] * vX_[2079] + vX_[6247] * vX_[394] + vX_[7911] * vX_[394] +
+ vX_[6981] * vX_[394] * 0.35 + vX_[7014] * 0.3735 + vX_[6577] * 0.35 + vX_[6577] * vX_[421] * 0.08 +
+ vX_[6577] * vX_[394] * -0.3735 + vX_[1296] * vX_[421] * 0.3735 + vX_[6253] * vX_[394] * -0.08 +
+ vX_[6098] * vX_[421] * 0.207 + vX_[7472] * vX_[394] + vX_[7892] * vX_[421] * 0.3735 +
+ vX_[7892] * vX_[394] * 0.08 + vX_[7484] * 0.35 + vX_[7484] * vX_[394] * -0.3735 +
+ (vX_[7480] * vX_[394] + vX_[6310] * vX_[421]) * 0.207 + vX_[6979] * vX_[394] * 0.207 +
+ vX_[6175] * vX_[421] + vX_[7455] * vX_[394] + (vX_[7484] * vX_[421] - vX_[7006]) * 0.08 +
+ vX_[6994] * vX_[421] * 0.35 + vX_[6977] * vX_[421] * 0.33 + vX_[5831] * vX_[394] * 0.33 +
+ (0 - vX_[5822]) * 0.08 + vX_[5818] * vX_[421] * 0.35 + vX_[5820] * vX_[421] * 0.33 +
+ vX_[5810] * vX_[394] * 0.33 + vX_[6985] * vX_[394] * 0.33 + vX_[6102] * vX_[421] * 0.33 +
+ vX_[6595] * vX_[394] * 0.35 + (0 - vX_[6240]) * 0.08 + vX_[6100] * vX_[421] * 0.35 +
+ (vX_[6104] * vX_[394] + vX_[6222] * vX_[421]) * 0.33 +
+ (vX_[6249] * vX_[421] + vX_[7092] * vX_[394]) * 0.33 + (0 - vX_[7089]) * 0.08 +
+ vX_[5793] * vX_[421] * 0.35 + vX_[5807] * vX_[421] * 0.33 + vX_[5801] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[6716] * vX_[4135] + vX_[6706] * vX_[1893] + vX_[6729] * vX_[715] + vX_[6197] * vX_[490] +
+ vX_[6184] * vX_[695] + vX_[6194] * vX_[472] + vX_[6602] * vX_[661] + vX_[6717] * vX_[498] +
+ vX_[6600] * vX_[680] + vX_[6655] * vX_[660] + vX_[6606] * vX_[657] + vX_[6647] * vX_[507] +
+ vX_[6665] * vX_[613] + vX_[6718] * vX_[635] + vX_[6724] * vX_[558] + vX_[6725] * vX_[612] +
+ (vX_[6668] * vX_[609] + vX_[6458] * vX_[452] + vX_[6723] * vX_[502] + vX_[6215] * vX_[476] +
+ vX_[6623] * vX_[491] + vX_[5797] * vX_[475] + vX_[6727] * vX_[484] + vX_[5803] * vX_[472] +
+ vX_[6730] * vX_[490] + vX_[7938] * vX_[501] + vX_[6668] * vX_[605] + vX_[6456] * vX_[553] +
+ vX_[6723] * vX_[506] + vX_[6623] * vX_[550]) *
+ 0.207 +
+ vX_[7802] * x_in[23] + vX_[5958] * x_in[20] +
+ (vX_[6701] * vX_[4135] + vX_[6617] * vX_[485] + vX_[7802] * x_in[19]) * -0.3735 +
+ (vX_[6732] * vX_[4135] + vX_[7802] * x_in[18]) * 0.207 - (vX_[6714] * vX_[3739] + vX_[6201] * x_in[22]) +
+ (vX_[6706] * vX_[3739] + vX_[6201] * x_in[20]) * -0.3735 -
+ (vX_[6701] * vX_[1456] + vX_[6211] * vX_[716] + vX_[6207] * vX_[719] + vX_[6180] * vX_[688] +
+ vX_[6188] * vX_[472] + vX_[6190] * vX_[696] + vX_[6604] * vX_[681] + vX_[7900] * vX_[508] +
+ vX_[6531] * vX_[658] + vX_[6548] * vX_[659] + vX_[6527] * vX_[610] + vX_[6657] * vX_[497] +
+ vX_[6648] * vX_[614] + vX_[6584] * vX_[617] + vX_[6627] * vX_[634] + vX_[6592] * vX_[612] +
+ vX_[6651] * vX_[562] + vX_[6617] * vX_[486] + vX_[5956] * x_in[19]) -
+ vX_[7011] * vX_[2082] + vX_[5799] * vX_[421] + vX_[5772] * vX_[421] + vX_[5769] * vX_[394] * 0.35 +
+ vX_[6982] * 0.3735 + (0 - vX_[6999]) * 0.207 - vX_[6987] * vX_[1911] + (0 - vX_[5786]) * 0.35 +
+ (0 - vX_[5786] * vX_[421]) * 0.08 + vX_[5786] * vX_[394] * 0.3735 + vX_[5780] * vX_[421] * 0.3735 +
+ vX_[5780] * vX_[394] * 0.08 + vX_[5776] * vX_[421] + vX_[5778] * vX_[421] * 0.3735 +
+ (0 - vX_[5782] * vX_[394]) * 0.08 + (0 - vX_[5768]) * 0.35 + (0 - vX_[5768] * vX_[421]) * 0.08 +
+ vX_[5768] * vX_[394] * 0.3735 + vX_[5719] * vX_[421] + vX_[6980] * vX_[394] + (0 - vX_[7002]) * 0.08 +
+ vX_[6993] * vX_[421] * 0.35 + vX_[5755] * vX_[421] * 0.33 + vX_[5761] * vX_[394] * 0.33 +
+ (0 - vX_[5746]) * 0.08 + vX_[5742] * vX_[421] * 0.35 + vX_[5748] * vX_[394] * 0.33 + vX_[5744] * 0.08 +
+ vX_[5744] * vX_[421] * 0.35 + vX_[5673] * vX_[394] * -0.33 + vX_[5675] * vX_[394] * 0.33 +
+ vX_[5671] * vX_[421] * 0.33 + vX_[5600] * vX_[394] * 0.35 +
+ (vX_[5596] * vX_[421] + vX_[5602] * vX_[394]) * 0.33 + vX_[5598] * vX_[421] * 0.33 +
+ (0 - vX_[5527]) * 0.08 + vX_[5523] * vX_[421] * 0.35 + vX_[5412] * vX_[421] * 0.33 +
+ vX_[5395] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[6982] = vX_[7406] * 0.881 + (0 - vX_[7408]) * 0.0004405 + vX_[7410] * -8.81e-05;
+ vX_[7014] = vX_[7404] * -0.881;
+ vX_[6207] = vX_[7408] * 0.1104774;
+ vX_[6211] = vX_[7412] * -8.81e-05;
+ vX_[6729] = vX_[7014] - vX_[6207] + vX_[6211];
+ vX_[6215] = vX_[6982] * vX_[42] + vX_[6729] * vX_[46];
+ vX_[6198] = vX_[7396] * 3.146 + (0 - vX_[7397]) * -0.0825825;
+ vX_[6617] = vX_[7395] * -3.146;
+ vX_[6458] = vX_[7397] * 0.47422804;
+ vX_[7903] = vX_[6617] - vX_[6458];
+ vX_[6548] = vX_[6215] + vX_[6198] * vX_[43] + vX_[7903] * vX_[15];
+ vX_[6655] = vX_[7384] * 3.44 + vX_[7387] * 0.5824264;
+ vX_[6155] = 0 - vX_[6655];
+ vX_[6627] = vX_[7378] * 3.44 + (0 - vX_[7387]) * 0.1466472;
+ vX_[6718] = vX_[7378] * vX_[490] + vX_[7350] * vX_[472] + vX_[7384] * vX_[481] + vX_[7387] * vX_[554] +
+ vX_[7389] * vX_[608];
+ vX_[6527] = vX_[6548] * -1 + vX_[6155] * vX_[10] + vX_[6627] * vX_[2916] + vX_[6718] * x_in[24];
+ vX_[6531] = 0 - vX_[7143] * vX_[4116];
+ vX_[6602] = 0 - vX_[6531];
+ vX_[6606] = 0 - vX_[6531];
+ vX_[7142] = (vX_[7142] * vX_[4116] + vX_[6606] * vX_[743]) * 1 / vX_[718];
+ vX_[6600] = 0 - vX_[7142];
+ vX_[6604] = 0 - vX_[6531];
+ vX_[6619] = 0 - vX_[7142];
+ vX_[7137] = (vX_[7137] * vX_[4116] + vX_[6604] * vX_[689] + vX_[6619] * vX_[736]) * 1 / vX_[721];
+ vX_[6657] = 0 - vX_[7137];
+ vX_[7134] =
+ (vX_[7134] * vX_[4116] + vX_[6602] * vX_[682] + vX_[6600] * vX_[730] + vX_[6657] * vX_[509]) * 1 / vX_[618];
+ vX_[6606] = vX_[7144] * vX_[1853] + vX_[6606] * vX_[712];
+ vX_[7144] = 0 - vX_[6606];
+ vX_[6717] = 0 - vX_[7141] * vX_[1853] - vX_[7142] * vX_[712];
+ vX_[6647] = 0 - vX_[6717];
+ vX_[7900] = 0 - vX_[6606];
+ vX_[7928] = 0 - vX_[6717];
+ vX_[7140] = (vX_[7140] * vX_[4108] + vX_[7900] * vX_[689] + vX_[7928] * vX_[736]) * 1 / vX_[721];
+ vX_[6651] = 0 - vX_[7140];
+ vX_[7139] =
+ (vX_[7139] * vX_[4108] + vX_[7144] * vX_[682] + vX_[6647] * vX_[730] + vX_[6651] * vX_[509]) * 1 / vX_[618];
+ vX_[7900] = vX_[7147] * vX_[41] + vX_[6604] * vX_[722] + vX_[7900] * vX_[737];
+ vX_[6604] = 0 - vX_[7900];
+ vX_[7928] = vX_[7148] * vX_[41] + vX_[6619] * vX_[722] + vX_[7928] * vX_[737];
+ vX_[6619] = 0 - vX_[7928];
+ vX_[7148] = 0 - vX_[7131] * vX_[41] - vX_[7137] * vX_[722] - vX_[7140] * vX_[737];
+ vX_[7147] = 0 - vX_[7148];
+ vX_[7136] =
+ (vX_[7136] * vX_[1647] + vX_[6604] * vX_[682] + vX_[6619] * vX_[730] + vX_[7147] * vX_[509]) * 1 / vX_[618];
+ vX_[6724] = 0 - vX_[7133] * vX_[801] - vX_[7134] * vX_[604] - vX_[7139] * vX_[731] - vX_[7136] * vX_[664];
+ vX_[6592] = 0 - vX_[6531];
+ vX_[6648] = 0 - vX_[7142];
+ vX_[6725] = 0 - vX_[7137];
+ vX_[6584] = 0 - vX_[7134];
+ vX_[6665] = 0 - vX_[6531];
+ vX_[7011] = 0 - vX_[7142];
+ vX_[7003] = 0 - vX_[7137];
+ vX_[6987] = 0 - vX_[7134];
+ vX_[7129] = (vX_[7129] * vX_[4116] + vX_[6665] * vX_[662] + vX_[7011] * vX_[633] + vX_[7003] * vX_[691] +
+ vX_[6987] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[6967] = 0 - vX_[7129];
+ vX_[5392] = (vX_[7112] * vX_[4116] + vX_[6592] * vX_[510] + vX_[6648] * vX_[518] + vX_[6725] * vX_[690] +
+ vX_[6584] * vX_[628] + vX_[6967] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5409] = 0 - vX_[6606];
+ vX_[5403] = 0 - vX_[6717];
+ vX_[5399] = 0 - vX_[7140];
+ vX_[5405] = 0 - vX_[7139];
+ vX_[5401] = 0 - vX_[6606];
+ vX_[5391] = 0 - vX_[6717];
+ vX_[5374] = 0 - vX_[7140];
+ vX_[5371] = 0 - vX_[7139];
+ vX_[7138] = (vX_[7138] * vX_[4108] + vX_[5401] * vX_[662] + vX_[5391] * vX_[633] + vX_[5374] * vX_[691] +
+ vX_[5371] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5388] = 0 - vX_[7138];
+ vX_[5382] = (vX_[7112] * vX_[4108] + vX_[5409] * vX_[510] + vX_[5403] * vX_[518] + vX_[5399] * vX_[690] +
+ vX_[5405] * vX_[628] + vX_[5388] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5378] = 0 - vX_[7900];
+ vX_[5384] = 0 - vX_[7928];
+ vX_[5380] = 0 - vX_[7148];
+ vX_[5370] = 0 - vX_[7136];
+ vX_[5353] = 0 - vX_[7900];
+ vX_[5350] = 0 - vX_[7928];
+ vX_[5367] = 0 - vX_[7148];
+ vX_[5361] = 0 - vX_[7136];
+ vX_[7135] = (vX_[7135] * vX_[1647] + vX_[5353] * vX_[662] + vX_[5350] * vX_[633] + vX_[5367] * vX_[691] +
+ vX_[5361] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[5357] = 0 - vX_[7135];
+ vX_[5363] = (vX_[7112] * vX_[1647] + vX_[5378] * vX_[510] + vX_[5384] * vX_[518] + vX_[5380] * vX_[690] +
+ vX_[5370] * vX_[628] + vX_[5357] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[6604] = vX_[7145] * vX_[801] + vX_[6602] * vX_[604] + vX_[7144] * vX_[731] + vX_[6604] * vX_[664];
+ vX_[7144] = 0 - vX_[6604];
+ vX_[6619] = vX_[7146] * vX_[801] + vX_[6600] * vX_[604] + vX_[6647] * vX_[731] + vX_[6619] * vX_[664];
+ vX_[6647] = 0 - vX_[6619];
+ vX_[7147] = vX_[7149] * vX_[801] + vX_[6657] * vX_[604] + vX_[6651] * vX_[731] + vX_[7147] * vX_[664];
+ vX_[6651] = 0 - vX_[7147];
+ vX_[6657] = 0 - vX_[6724];
+ vX_[7149] = 0 - vX_[6604];
+ vX_[6600] = 0 - vX_[6619];
+ vX_[7146] = 0 - vX_[7147];
+ vX_[6602] = 0 - vX_[6724];
+ vX_[7132] = (vX_[7132] * vX_[3708] + vX_[7149] * vX_[662] + vX_[6600] * vX_[633] + vX_[7146] * vX_[691] +
+ vX_[6602] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7145] = 0 - vX_[7132];
+ vX_[5359] = (vX_[7112] * vX_[3708] + vX_[7144] * vX_[510] + vX_[6647] * vX_[518] + vX_[6651] * vX_[690] +
+ vX_[6657] * vX_[628] + vX_[7145] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7149] = vX_[7150] * vX_[1083] + vX_[6665] * vX_[602] + vX_[5401] * vX_[725] + vX_[5353] * vX_[666] +
+ vX_[7149] * vX_[668];
+ vX_[5353] = 0 - vX_[7149];
+ vX_[6600] = vX_[7151] * vX_[1083] + vX_[7011] * vX_[602] + vX_[5391] * vX_[725] + vX_[5350] * vX_[666] +
+ vX_[6600] * vX_[668];
+ vX_[5350] = 0 - vX_[6600];
+ vX_[7146] = vX_[7152] * vX_[1083] + vX_[7003] * vX_[602] + vX_[5374] * vX_[725] + vX_[5367] * vX_[666] +
+ vX_[7146] * vX_[668];
+ vX_[5367] = 0 - vX_[7146];
+ vX_[6602] = vX_[7153] * vX_[1083] + vX_[6987] * vX_[602] + vX_[5371] * vX_[725] + vX_[5361] * vX_[666] +
+ vX_[6602] * vX_[668];
+ vX_[5361] = 0 - vX_[6602];
+ vX_[5371] = 0 - vX_[7128] * vX_[1083] - vX_[7129] * vX_[602] - vX_[7138] * vX_[725] - vX_[7135] * vX_[666] -
+ vX_[7132] * vX_[668];
+ vX_[6987] = 0 - vX_[5371];
+ vX_[7112] = (vX_[7112] * vX_[3689] + vX_[5353] * vX_[510] + vX_[5350] * vX_[518] + vX_[5367] * vX_[690] +
+ vX_[5361] * vX_[628] + vX_[6987] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7153] = 0 - vX_[7159] * vX_[1426] - vX_[5392] * vX_[620] - vX_[5382] * vX_[723] - vX_[5363] * vX_[590] -
+ vX_[5359] * vX_[624] - vX_[7112] * vX_[637];
+ vX_[5374] = vX_[6724] - vX_[7153];
+ vX_[7003] = vX_[7132] + vX_[6602];
+ vX_[7152] = vX_[5374] * vX_[487] + vX_[7003] * vX_[485];
+ vX_[5391] = vX_[5371] - vX_[7153];
+ vX_[7011] = vX_[5391] * vX_[487];
+ vX_[7151] = vX_[5374] * vX_[473] + vX_[7003] * vX_[487];
+ vX_[5401] = vX_[5391] * vX_[485];
+ vX_[6665] = vX_[7151] + vX_[5401];
+ vX_[7150] = vX_[7152] * vX_[473] + vX_[7011] * vX_[485] + vX_[6665] * vX_[487];
+ vX_[5349] = 0 - vX_[7150];
+ vX_[5332] = vX_[7153] + vX_[7151] * vX_[473] + vX_[7011] * vX_[487];
+ vX_[5300] = 0 - vX_[5332];
+ vX_[5346] = vX_[7153] + vX_[7152] * vX_[487] + vX_[5401] * vX_[485];
+ vX_[5350] = vX_[7155] * vX_[1426] + vX_[6648] * vX_[620] + vX_[5403] * vX_[723] + vX_[5384] * vX_[590] +
+ vX_[6647] * vX_[624] + vX_[5350] * vX_[637];
+ vX_[6647] = vX_[5382] + vX_[5350];
+ vX_[5384] = vX_[7135] + vX_[7146] - vX_[6647];
+ vX_[5353] = vX_[7154] * vX_[1426] + vX_[6592] * vX_[620] + vX_[5409] * vX_[723] + vX_[5378] * vX_[590] +
+ vX_[7144] * vX_[624] + vX_[5353] * vX_[637];
+ vX_[7144] = vX_[5392] + vX_[5353];
+ vX_[5378] = 0 - (vX_[7136] + vX_[7147]) + vX_[7144];
+ vX_[5409] = (vX_[7144] * vX_[473] + vX_[6647] * vX_[487]) * -1;
+ vX_[6592] = 0 - (vX_[5384] * vX_[487] + vX_[5378] * vX_[485]) + vX_[5409];
+ vX_[7154] = vX_[6592] + vX_[5332] * vX_[474];
+ vX_[5403] = 0 - vX_[7154];
+ vX_[6648] = (vX_[7144] * vX_[487] + vX_[6647] * vX_[485]) * -1;
+ vX_[7155] = vX_[5384] * vX_[473] + vX_[5378] * vX_[487] + vX_[6648];
+ vX_[5340] = 0 - vX_[5346];
+ vX_[5336] = vX_[7155] + vX_[7150] * vX_[474] + vX_[5340] * vX_[393];
+ vX_[5342] = vX_[7139] + vX_[6619];
+ vX_[5338] = vX_[7134] + vX_[6604];
+ vX_[5327] = vX_[5342] * vX_[485] + vX_[5338] * vX_[487];
+ vX_[5323] = vX_[7129] + vX_[7149];
+ vX_[5329] = vX_[7138] + vX_[6600];
+ vX_[5325] = vX_[5323] * vX_[487] + vX_[5329] * vX_[485];
+ vX_[5254] = vX_[5327] * vX_[473] + vX_[5325] * vX_[487];
+ vX_[6987] = vX_[7158] * vX_[1426] + vX_[6967] * vX_[620] + vX_[5388] * vX_[723] + vX_[5357] * vX_[590] +
+ vX_[7145] * vX_[624] + vX_[6987] * vX_[637];
+ vX_[7145] = vX_[7112] + vX_[6987];
+ vX_[5361] = vX_[7157] * vX_[1426] + vX_[6584] * vX_[620] + vX_[5405] * vX_[723] + vX_[5370] * vX_[590] +
+ vX_[6657] * vX_[624] + vX_[5361] * vX_[637];
+ vX_[6657] = vX_[5359] + vX_[5361];
+ vX_[5370] = 0 - vX_[6657];
+ vX_[5405] = vX_[7145] * vX_[487] + vX_[5370] * vX_[485];
+ vX_[6584] = 0 - vX_[5405];
+ vX_[7157] = vX_[5254] + vX_[6584] * vX_[393] + vX_[5300] * vX_[489];
+ vX_[5357] = 0 - vX_[7157];
+ vX_[5388] = vX_[5342] * vX_[487] + vX_[5338] * vX_[473];
+ vX_[6967] = vX_[5323] * vX_[473] + vX_[5329] * vX_[487];
+ vX_[7158] = vX_[5388] * vX_[487] + vX_[6967] * vX_[485];
+ vX_[6657] = 0 - vX_[6657];
+ vX_[5250] = vX_[7145] * vX_[473] + vX_[6657] * vX_[487];
+ vX_[5256] = 0 - vX_[5250];
+ vX_[5252] = vX_[7158] + vX_[5256] * vX_[474] + vX_[5346] * vX_[489];
+ vX_[5181] = vX_[5388] * vX_[473] + vX_[6967] * vX_[487];
+ vX_[5177] = vX_[5181] + vX_[5405] * vX_[474];
+ vX_[5183] = vX_[5327] * vX_[487] + vX_[5325] * vX_[485];
+ vX_[5179] = vX_[5183] + vX_[5250] * vX_[393] + vX_[5349] * vX_[489];
+ vX_[5108] = 0 - vX_[5177] + vX_[5179];
+ vX_[5104] = 0 - vX_[7150];
+ vX_[5110] = 0 - vX_[5332];
+ vX_[5300] = vX_[5349] * vX_[611] + vX_[5300] * vX_[556] + vX_[5346] * vX_[452] + vX_[5403] * vX_[490] +
+ vX_[5336] * vX_[501] + vX_[5357] * vX_[481] + vX_[5252] * vX_[475] + vX_[5108] * vX_[472] +
+ vX_[5104] * vX_[608] + vX_[7150] * vX_[605] + vX_[5110] * vX_[555] + vX_[5346] * vX_[559];
+ vX_[5349] = 0 - vX_[6982];
+ vX_[5106] = vX_[7393] * 0.881 + (0 - vX_[7410]) * 0.1104774 + vX_[7412] * 0.0004405;
+ vX_[4983] = vX_[7404] * 0.00185880198235362 + vX_[7406] * 0.880992588508842 + vX_[7410] * -8.81e-05;
+ vX_[4966] = vX_[5349] * vX_[1305] + vX_[5106] * vX_[46] + vX_[4983] * x_in[26];
+ vX_[6211] = 0 - vX_[7014] + vX_[6207] - vX_[6211];
+ vX_[6207] = 0 - vX_[5106];
+ vX_[7014] = vX_[7404] * 0.414812462825713 + vX_[7406] * 0.00185880198235362 + vX_[7412] * 8.81e-05;
+ vX_[4963] = vX_[6211] * vX_[1305] + vX_[6207] * vX_[42] - vX_[7014] * x_in[26];
+ vX_[4980] = 0 - vX_[6198];
+ vX_[4974] = vX_[7391] * 3.146 + (0 - vX_[7392]) * 0.47422804 + vX_[7402] * -0.0825825;
+ vX_[4970] = vX_[7395] * vX_[449] + vX_[7396] * vX_[448] + vX_[7392] * vX_[425] + vX_[7402] * vX_[420];
+ vX_[4976] = vX_[4966] * vX_[395] + vX_[4963] * vX_[397] + vX_[4980] * vX_[1233] + vX_[4974] * vX_[15] +
+ vX_[4970] * x_in[25];
+ vX_[6458] = 0 - vX_[6617] + vX_[6458];
+ vX_[6617] = 0 - vX_[4974];
+ vX_[4972] = vX_[7395] * vX_[447] + vX_[7396] * vX_[449] + vX_[7392] * vX_[431] + vX_[7402] * vX_[430];
+ vX_[4962] = vX_[4966] * vX_[1690] + vX_[4963] * vX_[395] + vX_[6458] * vX_[1233] + vX_[6617] * vX_[43] -
+ vX_[4972] * x_in[25];
+ vX_[4945] = vX_[7350] * -3.44;
+ vX_[4942] = vX_[7374] * 0.1466472;
+ vX_[4959] = vX_[7389] * 0.5824264;
+ vX_[4953] = 0 - vX_[4945] + vX_[4942] - vX_[4959];
+ vX_[4949] = 0 - vX_[6627];
+ vX_[4955] = vX_[7378] * vX_[501] + vX_[7350] * vX_[475] + vX_[7384] * vX_[472] + vX_[7387] * vX_[605] +
+ vX_[7389] * vX_[553];
+ vX_[4951] = vX_[4976] * vX_[1686] + vX_[4962] * vX_[421] + vX_[4953] * vX_[10] + vX_[4949] * vX_[1882] -
+ vX_[4955] * x_in[24];
+ vX_[4941] = vX_[6724] + vX_[5371] + vX_[7153] - vX_[5332] - vX_[5346];
+ vX_[4924] = 0 - vX_[4941];
+ vX_[5409] = vX_[5409] + vX_[4924] * vX_[474];
+ vX_[6648] = vX_[6648] + vX_[4941] * vX_[393];
+ vX_[4921] = 0 - vX_[5336];
+ vX_[4938] = 0 - vX_[5252];
+ vX_[5367] = vX_[7156] * vX_[1426] + vX_[6725] * vX_[620] + vX_[5399] * vX_[723] + vX_[5380] * vX_[590] +
+ vX_[6651] * vX_[624] + vX_[5367] * vX_[637];
+ vX_[6651] = vX_[5363] + vX_[5367] + vX_[5338] + vX_[5329] - vX_[5181] - vX_[5183];
+ vX_[5179] = vX_[6651] - vX_[5179];
+ vX_[5380] = 0 - vX_[5405];
+ vX_[5399] = 0 - vX_[7150];
+ vX_[6725] = 0 - vX_[5346];
+ vX_[7156] = vX_[6531] - vX_[7148];
+ vX_[4932] = vX_[6717] - vX_[7148];
+ vX_[4928] = vX_[7142] + vX_[6606];
+ vX_[4934] = vX_[7140] + vX_[7928];
+ vX_[4930] = vX_[7137] + vX_[7900];
+ vX_[4920] = 0 - vX_[4930];
+ vX_[4903] = vX_[7156] * vX_[487] + vX_[4928] * vX_[485];
+ vX_[4871] = vX_[4932] * vX_[487];
+ vX_[4917] = vX_[7156] * vX_[473] + vX_[4928] * vX_[487];
+ vX_[4911] = vX_[4932] * vX_[485];
+ vX_[4907] = vX_[4917] + vX_[4911];
+ vX_[4913] = vX_[7393] * 0.0004405 + vX_[7404] * -8.81e-05 + vX_[7412] * -0.000227999999999999;
+ vX_[4909] = vX_[7393] * 0.1104774 + vX_[7406] * -8.81e-05 + (0 - vX_[7410]) * 0.025713;
+ vX_[4898] = (0 - vX_[7404]) * 0.0004405;
+ vX_[4894] = (0 - vX_[7406]) * 0.1104774;
+ vX_[4900] = vX_[4898] + vX_[4894];
+ vX_[4900] = vX_[5349] * vX_[1931] + vX_[6211] * vX_[1617] + vX_[4913] * vX_[42] + vX_[4909] * vX_[46] +
+ vX_[4900] * vX_[1305] + vX_[4900] * vX_[1305];
+ vX_[6211] = vX_[7391] * -0.0825825 + (0 - vX_[7397]) * 0.000102 + vX_[7392] * 0.007418 + vX_[7402] * 0.002735;
+ vX_[5349] = vX_[7391] * 0.47422804 + vX_[7397] * 2.1e-05 + (0 - vX_[7392]) * 0.084376 + (0 - vX_[7402]) * 0.007418;
+ vX_[4896] = (0 - vX_[7395]) * -0.0825825;
+ vX_[4825] = (0 - vX_[7396]) * 0.47422804;
+ vX_[4821] = vX_[7392] * 0.000102;
+ vX_[4827] = (0 - vX_[7402]) * 2.1e-05;
+ vX_[4823] = vX_[4896] + vX_[4825] + vX_[4821] + vX_[4827];
+ vX_[4823] = vX_[4900] + vX_[4966] * vX_[1698] + vX_[4963] * vX_[400] + vX_[4980] * vX_[1145] +
+ vX_[6458] * vX_[916] + vX_[6211] * vX_[43] + vX_[5349] * vX_[15] + vX_[4823] * vX_[1233] +
+ vX_[4823] * vX_[1233];
+ vX_[6458] = vX_[7350] * 0.5824264 + (0 - vX_[7374]) * -0.022734 + vX_[7387] * -3.6e-05 + vX_[7389] * -0.133138;
+ vX_[4980] = vX_[7350] * 0.1466472 + vX_[7374] * 0.009466 + (0 - vX_[7387]) * -5.1e-05 + vX_[7389] * -0.022734;
+ vX_[4752] = (0 - vX_[7378]) * 0.5824264;
+ vX_[4748] = (0 - vX_[7384]) * 0.1466472;
+ vX_[4754] = (0 - vX_[7374]) * -3.6e-05;
+ vX_[4750] = (0 - vX_[7389]) * -5.1e-05;
+ vX_[4679] = vX_[4752] + vX_[4748] + vX_[4754] - vX_[4750];
+ vX_[4675] = vX_[7378] * vX_[506] + vX_[7350] * vX_[553] + vX_[7384] * vX_[608] + vX_[7387] * vX_[607] +
+ vX_[7389] * vX_[469];
+ vX_[4679] = vX_[4976] * vX_[1687] + vX_[4962] * vX_[439] + vX_[4823] * -1 + vX_[6655] * vX_[5] +
+ vX_[4949] * vX_[1543] + vX_[6458] * vX_[10] + vX_[4980] * vX_[2916] + vX_[4679] * vX_[1882] +
+ vX_[4679] * vX_[1882] + vX_[4675] * x_in[24];
+ vX_[7408] = vX_[7404] * 0.1104774 + vX_[7406] * 0.0004405 + vX_[7408] * 0.025941;
+ vX_[4949] = (0 - vX_[7393]) * -8.81e-05;
+ vX_[4894] = vX_[4949] + vX_[4894];
+ vX_[7412] = vX_[7393] * 0.0004405 + vX_[7404] * 8.81e-05 + vX_[7412] * 0.000468;
+ vX_[4894] = vX_[6982] * vX_[4114] + vX_[6207] * vX_[1617] + vX_[4913] * vX_[1305] + vX_[7408] * vX_[46] +
+ vX_[4894] * vX_[42] + vX_[4894] * vX_[42] + vX_[7412] * x_in[26];
+ vX_[4949] = vX_[4949] + vX_[4898];
+ vX_[7410] = vX_[7393] * -0.1104774 + vX_[7406] * -8.81e-05 + vX_[7410] * 0.026409;
+ vX_[4949] = vX_[6729] * vX_[4114] + vX_[5106] * vX_[1931] + vX_[4909] * vX_[1305] + vX_[7408] * vX_[42] +
+ vX_[4949] * vX_[46] + vX_[4949] * vX_[46] - vX_[7410] * x_in[26];
+ vX_[7408] = vX_[7395] * 0.47422804 + vX_[7396] * -0.0825825 + vX_[7397] * 0.081641 + (0 - vX_[7392]) * 2.1e-05 +
+ vX_[7402] * 0.000102;
+ vX_[4909] = (0 - vX_[7397]) * 0.007418;
+ vX_[4827] = vX_[4825] + vX_[4909] - vX_[4827];
+ vX_[4825] = vX_[7391] * vX_[415] + vX_[7395] * vX_[430] + vX_[7396] * vX_[420] + vX_[7392] * vX_[464] +
+ vX_[7402] * vX_[460];
+ vX_[4827] = vX_[6215] * -0.35 + vX_[4894] * vX_[395] + vX_[4949] * vX_[397] + vX_[6198] * vX_[4117] +
+ vX_[6617] * vX_[916] + vX_[6211] * vX_[1233] + vX_[7408] * vX_[15] + vX_[4827] * vX_[43] +
+ vX_[4827] * vX_[43] + vX_[4825] * x_in[25];
+ vX_[4909] = vX_[4896] - vX_[4909] - vX_[4821];
+ vX_[4821] = vX_[7391] * vX_[427] + vX_[7395] * vX_[431] + vX_[7396] * vX_[425] + vX_[7392] * vX_[458] +
+ vX_[7402] * vX_[464];
+ vX_[4909] = vX_[4894] * vX_[398] + vX_[4949] * vX_[395] + vX_[7903] * vX_[4117] + vX_[4974] * vX_[1145] +
+ vX_[5349] * vX_[1233] + vX_[7408] * vX_[43] + vX_[4909] * vX_[15] + vX_[4909] * vX_[15] -
+ vX_[4821] * x_in[25];
+ vX_[4959] = vX_[4945] - vX_[4942] + vX_[4959];
+ vX_[4942] = vX_[7378] * 0.1466472 + vX_[7384] * 0.5824264 + vX_[7374] * -5.1e-05 + (0 - vX_[7387]) * -0.123672 +
+ (0 - vX_[7389]) * -3.6e-05;
+ vX_[4945] = vX_[7387] * -0.022734;
+ vX_[4754] = vX_[4752] - vX_[4754] - vX_[4945];
+ vX_[4752] = vX_[7378] * vX_[443] + vX_[7350] * vX_[605] + vX_[7384] * vX_[554] + vX_[7387] * vX_[552] +
+ vX_[7389] * vX_[607];
+ vX_[4754] = vX_[4827] * vX_[433] + vX_[4909] * vX_[421] + vX_[4959] * vX_[5] + vX_[6627] * vX_[4129] +
+ vX_[4942] * vX_[10] + vX_[4980] * vX_[1882] + vX_[4754] * vX_[2916] + vX_[4754] * vX_[2916] -
+ vX_[4752] * x_in[24];
+ vX_[7439] = vX_[7439] * vX_[2082];
+ vX_[4980] = vX_[7439] * vX_[395];
+ vX_[7440] = vX_[7440] * vX_[2082];
+ vX_[6627] = vX_[7440] * vX_[1702];
+ vX_[7441] = vX_[7441] * vX_[2082];
+ vX_[7408] = 0 - vX_[7441];
+ vX_[7411] = vX_[7411] * vX_[2077];
+ vX_[5349] = vX_[7411] * vX_[395];
+ vX_[4974] = vX_[7411] * vX_[1702];
+ vX_[7903] = 0 - vX_[4974];
+ vX_[7427] = vX_[7427] * vX_[2089];
+ vX_[4896] = vX_[7427] * vX_[1702];
+ vX_[7415] = vX_[7415] * vX_[1911];
+ vX_[6211] = vX_[7415] * vX_[395];
+ vX_[7413] = vX_[7413] * vX_[2077];
+ vX_[6617] = vX_[7413] * vX_[395];
+ vX_[6198] = vX_[7413] * vX_[1702];
+ vX_[6215] = vX_[7427] * vX_[395];
+ vX_[7428] = vX_[7428] * vX_[2089];
+ vX_[5106] = 0 - vX_[7428];
+ vX_[6729] = vX_[5106] * vX_[395];
+ vX_[7406] = vX_[7428] * vX_[1702];
+ vX_[7393] = vX_[7439] + vX_[7415];
+ vX_[7416] = vX_[7416] * vX_[1911];
+ vX_[4898] = 0 - vX_[7440] - vX_[7416];
+ vX_[4913] = vX_[7393] * vX_[1702] + vX_[4898] * vX_[395];
+ vX_[6207] = vX_[7416] * vX_[1702];
+ vX_[7433] = vX_[7433] * vX_[2089] + vX_[7421] * vX_[2077];
+ vX_[7421] = 0 - vX_[7433];
+ vX_[6982] = 0 - vX_[7433];
+ vX_[7404] = vX_[6982] * vX_[395];
+ vX_[4681] = vX_[7433] * vX_[1702];
+ vX_[4677] = vX_[7434] * vX_[1830] + vX_[7516] * vX_[1782] + vX_[7519] * vX_[1814];
+ vX_[4554] = 0 - vX_[4677];
+ vX_[4537] = vX_[7434] * vX_[1920] + vX_[7516] * vX_[1815] + vX_[7519] * vX_[1776];
+ vX_[4534] = vX_[4554] * x_in[18] + vX_[4537] * x_in[19];
+ vX_[4551] = 0 - vX_[4534];
+ vX_[4545] = 0 - vX_[4534];
+ vX_[4541] = vX_[4545] * vX_[395];
+ vX_[4547] = vX_[4534] * vX_[1702];
+ vX_[7434] = vX_[7434] * vX_[1812] + vX_[7516] * vX_[1831] + vX_[7519] * vX_[1921];
+ jac[931] = vX_[4972] * vX_[1708] + vX_[4970] * vX_[1145] + vX_[4821] * vX_[2090] + vX_[4825] * vX_[43] + vX_[4823] +
+ vX_[7434] * vX_[1835] + vX_[4677] * vX_[1788] + vX_[4537] * vX_[1821];
+ jac[967] = vX_[7014] * vX_[1739] + vX_[4983] * vX_[1931] + vX_[7410] * vX_[6] + vX_[7412] * vX_[42] + vX_[4900] +
+ vX_[7434] * vX_[1845] + vX_[4677] * vX_[1799] + vX_[4537] * vX_[1818];
+ vX_[7410] = vX_[7434] * x_in[26];
+ vX_[7412] = vX_[7410] * vX_[395];
+ vX_[4900] = vX_[7410] * vX_[1702];
+ vX_[7014] = vX_[7434] * x_in[25];
+ vX_[4983] = vX_[4677] * x_in[24];
+ vX_[4821] = 0 - vX_[4983];
+ vX_[4825] = vX_[7014] * vX_[395];
+ vX_[4823] = 0 - vX_[4983];
+ vX_[4972] = vX_[4823] * vX_[395];
+ vX_[4970] = vX_[7014] * vX_[1702];
+ vX_[7519] = vX_[4983] * vX_[1702];
+ vX_[7516] = vX_[7445] * vX_[1876];
+ vX_[4543] = 0 - vX_[7516];
+ vX_[4533] = 0 - vX_[7516];
+ vX_[4516] = vX_[4533] * vX_[395];
+ vX_[4513] = vX_[7516] * vX_[1702];
+ vX_[4530] = 0 - vX_[5409];
+ vX_[4524] = 0 - vX_[6648];
+ vX_[6651] = 0 - vX_[6651] + vX_[5177];
+ vX_[5177] = 0 - vX_[5250];
+ vX_[4930] = 0 - vX_[4930];
+ vX_[7405] = vX_[7405] * vX_[2077];
+ vX_[4520] = vX_[7405] * vX_[1702];
+ vX_[7407] = vX_[7407] * vX_[2077];
+ vX_[4526] = 0 - vX_[7407];
+ vX_[4522] = vX_[4526] * vX_[395];
+ vX_[7409] = vX_[7409] * vX_[2077];
+ vX_[4512] = 0 - vX_[7409];
+ vX_[7426] = vX_[7426] * vX_[2089];
+ vX_[7442] = vX_[7442] * vX_[2082];
+ vX_[4495] = vX_[7442] * vX_[395];
+ vX_[4492] = vX_[7442] * vX_[1702];
+ vX_[7431] = vX_[7431] * vX_[2079];
+ vX_[4509] = vX_[7431] * vX_[1702];
+ vX_[7443] = vX_[7443] * vX_[2082];
+ vX_[4503] = vX_[7443] * vX_[395];
+ vX_[4499] = 0 - vX_[4503];
+ vX_[4505] = vX_[7443] * vX_[1702];
+ vX_[7432] = vX_[7432] * vX_[2079];
+ vX_[4501] = 0 - vX_[7432];
+ vX_[4491] = vX_[4501] * vX_[395];
+ vX_[4474] = vX_[7405] + vX_[7431];
+ vX_[7432] = vX_[7407] + vX_[7432];
+ vX_[7407] = vX_[4474] * vX_[395] + vX_[7432] * vX_[1702];
+ vX_[7429] = vX_[7429] * vX_[2089] + vX_[7420] * vX_[2082];
+ vX_[7420] = 0 - vX_[7429];
+ vX_[4442] = 0 - vX_[7429];
+ vX_[4488] = vX_[4442] * vX_[395];
+ vX_[4482] = vX_[7429] * vX_[1702];
+ vX_[4478] = 0 - vX_[4537];
+ vX_[4484] = vX_[7434] * x_in[18] + vX_[4478] * x_in[20];
+ vX_[4480] = 0 - vX_[4484];
+ vX_[4469] = vX_[4484] * vX_[1702];
+ vX_[4465] = vX_[7434] * x_in[24];
+ vX_[4471] = vX_[4465] * vX_[1702];
+ vX_[4467] = vX_[4677] * x_in[26];
+ vX_[4396] = vX_[4467] * vX_[395];
+ vX_[4392] = vX_[4467] * vX_[1702];
+ vX_[4398] = vX_[4677] * x_in[25];
+ vX_[4394] = vX_[4465] * vX_[395];
+ vX_[4323] = vX_[4398] * vX_[395];
+ vX_[4319] = vX_[4398] * vX_[1702];
+ vX_[4325] = vX_[7445] * vX_[1866];
+ vX_[4321] = 0 - vX_[4325];
+ vX_[4250] = 0 - vX_[4484];
+ vX_[4246] = 0 - vX_[4325];
+ vX_[4252] = vX_[4250] * vX_[395] + vX_[4246] * vX_[395];
+ vX_[4248] = vX_[4325] * vX_[1702];
+ jac[247] =
+ 0 -
+ (0 - (vX_[7141] * vX_[4135] + vX_[6527] * x_in[22]) +
+ (vX_[7133] * vX_[4135] + vX_[5300] * vX_[487] + vX_[6527] * x_in[20]) * -0.3735 -
+ (vX_[7143] * vX_[3739] + vX_[4951] * x_in[23]) + (vX_[7128] * vX_[3739] + vX_[4951] * x_in[19]) * 0.3735 +
+ (vX_[7159] * vX_[3739] +
+ (vX_[6584] * vX_[556] + vX_[5250] * vX_[611] + vX_[4941] * vX_[500] + vX_[5340] * vX_[502] +
+ vX_[5409] * vX_[472] + vX_[6648] * vX_[481] + vX_[4921] * vX_[484] + vX_[4938] * vX_[501] +
+ vX_[5179] * vX_[490] + vX_[5380] * vX_[554] + vX_[5250] * vX_[608] + vX_[5399] * vX_[443] +
+ vX_[6725] * vX_[561]) *
+ -1 +
+ vX_[4951] * x_in[18]) *
+ -0.207 -
+ (vX_[7133] * vX_[1456] + vX_[7128] * vX_[1893] + vX_[7156] * vX_[719] + vX_[4932] * vX_[717] +
+ vX_[4928] * vX_[715] + vX_[4934] * vX_[688] + vX_[4920] * vX_[490] + vX_[4903] * vX_[696] +
+ vX_[4871] * vX_[695] + vX_[4907] * vX_[472] + vX_[5342] * vX_[680] + vX_[5323] * vX_[658] +
+ vX_[7144] * vX_[508] + vX_[6647] * vX_[498] + vX_[5338] * vX_[681] + vX_[5329] * vX_[661] +
+ vX_[5388] * vX_[659] + vX_[5327] * vX_[610] + vX_[6967] * vX_[660] + vX_[5325] * vX_[657] +
+ vX_[5384] * vX_[497] + vX_[5378] * vX_[507] + vX_[5374] * vX_[617] + vX_[5391] * vX_[615] +
+ vX_[7003] * vX_[613] + vX_[7145] * vX_[634] + vX_[6657] * vX_[635] + vX_[7152] * vX_[562] +
+ vX_[7011] * vX_[558] + vX_[6665] * vX_[612] + vX_[5300] * vX_[488] + vX_[4679] * x_in[19] +
+ vX_[4754] * x_in[20]) +
+ vX_[7394] * vX_[2077] + vX_[7430] * vX_[2079] + vX_[4980] * vX_[394] + vX_[6627] * vX_[394] +
+ vX_[7408] * vX_[394] * 0.35 + vX_[7441] * 0.3735 + vX_[5349] * 0.35 + vX_[5349] * vX_[421] * 0.08 +
+ vX_[5349] * vX_[394] * -0.3735 + vX_[7903] * vX_[421] * 0.3735 + vX_[4974] * vX_[394] * -0.08 +
+ vX_[4896] * vX_[421] * 0.207 + vX_[6211] * vX_[394] + vX_[6617] * vX_[421] * 0.3735 +
+ vX_[6617] * vX_[394] * 0.08 + vX_[6198] * 0.35 + vX_[6198] * vX_[394] * -0.3735 +
+ (vX_[6215] * vX_[394] + vX_[6729] * vX_[421]) * 0.207 + vX_[7406] * vX_[394] * 0.207 +
+ vX_[4913] * vX_[421] + vX_[6207] * vX_[394] + (vX_[6198] * vX_[421] - vX_[7433]) * 0.08 +
+ vX_[7421] * vX_[421] * 0.35 + vX_[7404] * vX_[421] * 0.33 + vX_[4681] * vX_[394] * 0.33 +
+ (0 - vX_[4534]) * 0.08 + vX_[4551] * vX_[421] * 0.35 + vX_[4541] * vX_[421] * 0.33 +
+ vX_[4547] * vX_[394] * 0.33 + vX_[7412] * vX_[394] * 0.33 + vX_[4900] * vX_[421] * 0.33 +
+ vX_[7014] * vX_[394] * 0.35 + (0 - vX_[4983]) * 0.08 + vX_[4821] * vX_[421] * 0.35 +
+ (vX_[4825] * vX_[394] + vX_[4972] * vX_[421]) * 0.33 +
+ (vX_[4970] * vX_[421] + vX_[7519] * vX_[394]) * 0.33 + (0 - vX_[7516]) * 0.08 +
+ vX_[4543] * vX_[421] * 0.35 + vX_[4516] * vX_[421] * 0.33 + vX_[4513] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[7143] * vX_[4135] + vX_[7133] * vX_[1893] + vX_[7156] * vX_[715] + vX_[4934] * vX_[490] +
+ vX_[4917] * vX_[695] + vX_[4903] * vX_[472] + vX_[5323] * vX_[661] + vX_[7144] * vX_[498] +
+ vX_[5338] * vX_[680] + vX_[5388] * vX_[660] + vX_[5327] * vX_[657] + vX_[5384] * vX_[507] +
+ vX_[5374] * vX_[613] + vX_[7145] * vX_[635] + vX_[7151] * vX_[558] + vX_[7152] * vX_[612] +
+ (vX_[5405] * vX_[609] + vX_[5256] * vX_[452] + vX_[7150] * vX_[502] + vX_[4924] * vX_[476] +
+ vX_[5332] * vX_[491] + vX_[4530] * vX_[475] + vX_[7154] * vX_[484] + vX_[4524] * vX_[472] +
+ vX_[7157] * vX_[490] + vX_[6651] * vX_[501] + vX_[5405] * vX_[605] + vX_[5177] * vX_[553] +
+ vX_[7150] * vX_[506] + vX_[5332] * vX_[550]) *
+ 0.207 +
+ vX_[6527] * x_in[23] + vX_[4679] * x_in[20] +
+ (vX_[7128] * vX_[4135] + vX_[5300] * vX_[485] + vX_[6527] * x_in[19]) * -0.3735 +
+ (vX_[7159] * vX_[4135] + vX_[6527] * x_in[18]) * 0.207 - (vX_[7141] * vX_[3739] + vX_[4951] * x_in[22]) +
+ (vX_[7133] * vX_[3739] + vX_[4951] * x_in[20]) * -0.3735 -
+ (vX_[7128] * vX_[1456] + vX_[4932] * vX_[716] + vX_[4928] * vX_[719] + vX_[4930] * vX_[688] +
+ vX_[4871] * vX_[472] + vX_[4911] * vX_[696] + vX_[5342] * vX_[681] + vX_[6647] * vX_[508] +
+ vX_[5329] * vX_[658] + vX_[6967] * vX_[659] + vX_[5325] * vX_[610] + vX_[5378] * vX_[497] +
+ vX_[5391] * vX_[614] + vX_[7003] * vX_[617] + vX_[5370] * vX_[634] + vX_[7011] * vX_[612] +
+ vX_[5401] * vX_[562] + vX_[5300] * vX_[486] + vX_[4754] * x_in[19]) -
+ vX_[7438] * vX_[2082] + vX_[4520] * vX_[421] + vX_[4522] * vX_[421] + vX_[4512] * vX_[394] * 0.35 +
+ vX_[7409] * 0.3735 + (0 - vX_[7426]) * 0.207 - vX_[7414] * vX_[1911] + (0 - vX_[4495]) * 0.35 +
+ (0 - vX_[4495] * vX_[421]) * 0.08 + vX_[4495] * vX_[394] * 0.3735 + vX_[4492] * vX_[421] * 0.3735 +
+ vX_[4492] * vX_[394] * 0.08 + vX_[4509] * vX_[421] + vX_[4499] * vX_[421] * 0.3735 +
+ (0 - vX_[4503] * vX_[394]) * 0.08 + (0 - vX_[4505]) * 0.35 + (0 - vX_[4505] * vX_[421]) * 0.08 +
+ vX_[4505] * vX_[394] * 0.3735 + vX_[4491] * vX_[421] + vX_[7407] * vX_[394] + (0 - vX_[7429]) * 0.08 +
+ vX_[7420] * vX_[421] * 0.35 + vX_[4488] * vX_[421] * 0.33 + vX_[4482] * vX_[394] * 0.33 +
+ (0 - vX_[4484]) * 0.08 + vX_[4480] * vX_[421] * 0.35 + vX_[4469] * vX_[394] * 0.33 + vX_[4465] * 0.08 +
+ vX_[4465] * vX_[421] * 0.35 + vX_[4471] * vX_[394] * -0.33 + vX_[4396] * vX_[394] * 0.33 +
+ vX_[4392] * vX_[421] * 0.33 + vX_[4398] * vX_[394] * 0.35 +
+ (vX_[4394] * vX_[421] + vX_[4323] * vX_[394]) * 0.33 + vX_[4319] * vX_[421] * 0.33 +
+ (0 - vX_[4325]) * 0.08 + vX_[4321] * vX_[421] * 0.35 + vX_[4252] * vX_[421] * 0.33 +
+ vX_[4248] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[7409] = vX_[7833] * 0.881 + (0 - vX_[7835]) * 0.0004405 + vX_[7837] * -8.81e-05;
+ vX_[7441] = vX_[7831] * -0.881;
+ vX_[4928] = vX_[7835] * 0.1104774;
+ vX_[4932] = vX_[7839] * -8.81e-05;
+ vX_[7156] = vX_[7441] - vX_[4928] + vX_[4932];
+ vX_[4924] = vX_[7409] * vX_[42] + vX_[7156] * vX_[46];
+ vX_[4941] = vX_[7823] * 3.146 + (0 - vX_[7824]) * -0.0825825;
+ vX_[5300] = vX_[7822] * -3.146;
+ vX_[5256] = vX_[7824] * 0.47422804;
+ vX_[6657] = vX_[5300] - vX_[5256];
+ vX_[6967] = vX_[4924] + vX_[4941] * vX_[43] + vX_[6657] * vX_[15];
+ vX_[5388] = vX_[7811] * 3.44 + vX_[7814] * 0.5824264;
+ vX_[6584] = 0 - vX_[5388];
+ vX_[5370] = vX_[7805] * 3.44 + (0 - vX_[7814]) * 0.1466472;
+ vX_[7145] = vX_[7805] * vX_[490] + vX_[7777] * vX_[472] + vX_[7811] * vX_[481] + vX_[7814] * vX_[554] +
+ vX_[7816] * vX_[608];
+ vX_[5325] = vX_[6967] * -1 + vX_[6584] * vX_[10] + vX_[5370] * vX_[2916] + vX_[7145] * x_in[24];
+ vX_[5329] = 0 - vX_[7570] * vX_[4116];
+ vX_[5323] = 0 - vX_[5329];
+ vX_[5327] = 0 - vX_[5329];
+ vX_[7569] = (vX_[7569] * vX_[4116] + vX_[5327] * vX_[743]) * 1 / vX_[718];
+ vX_[5338] = 0 - vX_[7569];
+ vX_[5342] = 0 - vX_[5329];
+ vX_[5340] = 0 - vX_[7569];
+ vX_[7564] = (vX_[7564] * vX_[4116] + vX_[5342] * vX_[689] + vX_[5340] * vX_[736]) * 1 / vX_[721];
+ vX_[5378] = 0 - vX_[7564];
+ vX_[7561] =
+ (vX_[7561] * vX_[4116] + vX_[5323] * vX_[682] + vX_[5338] * vX_[730] + vX_[5378] * vX_[509]) * 1 / vX_[618];
+ vX_[5327] = vX_[7571] * vX_[1853] + vX_[5327] * vX_[712];
+ vX_[7571] = 0 - vX_[5327];
+ vX_[7144] = 0 - vX_[7568] * vX_[1853] - vX_[7569] * vX_[712];
+ vX_[5384] = 0 - vX_[7144];
+ vX_[6647] = 0 - vX_[5327];
+ vX_[6665] = 0 - vX_[7144];
+ vX_[7567] = (vX_[7567] * vX_[4108] + vX_[6647] * vX_[689] + vX_[6665] * vX_[736]) * 1 / vX_[721];
+ vX_[5401] = 0 - vX_[7567];
+ vX_[7566] =
+ (vX_[7566] * vX_[4108] + vX_[7571] * vX_[682] + vX_[5384] * vX_[730] + vX_[5401] * vX_[509]) * 1 / vX_[618];
+ vX_[6647] = vX_[7574] * vX_[41] + vX_[5342] * vX_[722] + vX_[6647] * vX_[737];
+ vX_[5342] = 0 - vX_[6647];
+ vX_[6665] = vX_[7575] * vX_[41] + vX_[5340] * vX_[722] + vX_[6665] * vX_[737];
+ vX_[5340] = 0 - vX_[6665];
+ vX_[7575] = 0 - vX_[7558] * vX_[41] - vX_[7564] * vX_[722] - vX_[7567] * vX_[737];
+ vX_[7574] = 0 - vX_[7575];
+ vX_[7563] =
+ (vX_[7563] * vX_[1647] + vX_[5342] * vX_[682] + vX_[5340] * vX_[730] + vX_[7574] * vX_[509]) * 1 / vX_[618];
+ vX_[7151] = 0 - vX_[7560] * vX_[801] - vX_[7561] * vX_[604] - vX_[7566] * vX_[731] - vX_[7563] * vX_[664];
+ vX_[7011] = 0 - vX_[5329];
+ vX_[5391] = 0 - vX_[7569];
+ vX_[7152] = 0 - vX_[7564];
+ vX_[7003] = 0 - vX_[7561];
+ vX_[5374] = 0 - vX_[5329];
+ vX_[7438] = 0 - vX_[7569];
+ vX_[7430] = 0 - vX_[7564];
+ vX_[7414] = 0 - vX_[7561];
+ vX_[7556] = (vX_[7556] * vX_[4116] + vX_[5374] * vX_[662] + vX_[7438] * vX_[633] + vX_[7430] * vX_[691] +
+ vX_[7414] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7394] = 0 - vX_[7556];
+ vX_[2910] = (vX_[7540] * vX_[4116] + vX_[7011] * vX_[510] + vX_[5391] * vX_[518] + vX_[7152] * vX_[690] +
+ vX_[7003] * vX_[628] + vX_[7394] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2893] = 0 - vX_[5327];
+ vX_[2890] = 0 - vX_[7144];
+ vX_[2907] = 0 - vX_[7567];
+ vX_[2901] = 0 - vX_[7566];
+ vX_[2897] = 0 - vX_[5327];
+ vX_[2903] = 0 - vX_[7144];
+ vX_[2899] = 0 - vX_[7567];
+ vX_[2889] = 0 - vX_[7566];
+ vX_[7565] = (vX_[7565] * vX_[4108] + vX_[2897] * vX_[662] + vX_[2903] * vX_[633] + vX_[2899] * vX_[691] +
+ vX_[2889] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[2872] = 0 - vX_[7565];
+ vX_[2869] = (vX_[7540] * vX_[4108] + vX_[2893] * vX_[510] + vX_[2890] * vX_[518] + vX_[2907] * vX_[690] +
+ vX_[2901] * vX_[628] + vX_[2872] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2886] = 0 - vX_[6647];
+ vX_[2880] = 0 - vX_[6665];
+ vX_[2876] = 0 - vX_[7575];
+ vX_[2882] = 0 - vX_[7563];
+ vX_[2878] = 0 - vX_[6647];
+ vX_[2868] = 0 - vX_[6665];
+ vX_[2851] = 0 - vX_[7575];
+ vX_[2848] = 0 - vX_[7563];
+ vX_[7562] = (vX_[7562] * vX_[1647] + vX_[2878] * vX_[662] + vX_[2868] * vX_[633] + vX_[2851] * vX_[691] +
+ vX_[2848] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[2865] = 0 - vX_[7562];
+ vX_[2859] = (vX_[7540] * vX_[1647] + vX_[2886] * vX_[510] + vX_[2880] * vX_[518] + vX_[2876] * vX_[690] +
+ vX_[2882] * vX_[628] + vX_[2865] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[5342] = vX_[7572] * vX_[801] + vX_[5323] * vX_[604] + vX_[7571] * vX_[731] + vX_[5342] * vX_[664];
+ vX_[7571] = 0 - vX_[5342];
+ vX_[5340] = vX_[7573] * vX_[801] + vX_[5338] * vX_[604] + vX_[5384] * vX_[731] + vX_[5340] * vX_[664];
+ vX_[5384] = 0 - vX_[5340];
+ vX_[7574] = vX_[7576] * vX_[801] + vX_[5378] * vX_[604] + vX_[5401] * vX_[731] + vX_[7574] * vX_[664];
+ vX_[5401] = 0 - vX_[7574];
+ vX_[5378] = 0 - vX_[7151];
+ vX_[7576] = 0 - vX_[5342];
+ vX_[5338] = 0 - vX_[5340];
+ vX_[7573] = 0 - vX_[7574];
+ vX_[5323] = 0 - vX_[7151];
+ vX_[7559] = (vX_[7559] * vX_[3708] + vX_[7576] * vX_[662] + vX_[5338] * vX_[633] + vX_[7573] * vX_[691] +
+ vX_[5323] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7572] = 0 - vX_[7559];
+ vX_[2855] = (vX_[7540] * vX_[3708] + vX_[7571] * vX_[510] + vX_[5384] * vX_[518] + vX_[5401] * vX_[690] +
+ vX_[5378] * vX_[628] + vX_[7572] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7576] = vX_[7577] * vX_[1083] + vX_[5374] * vX_[602] + vX_[2897] * vX_[725] + vX_[2878] * vX_[666] +
+ vX_[7576] * vX_[668];
+ vX_[2878] = 0 - vX_[7576];
+ vX_[5338] = vX_[7578] * vX_[1083] + vX_[7438] * vX_[602] + vX_[2903] * vX_[725] + vX_[2868] * vX_[666] +
+ vX_[5338] * vX_[668];
+ vX_[2868] = 0 - vX_[5338];
+ vX_[7573] = vX_[7579] * vX_[1083] + vX_[7430] * vX_[602] + vX_[2899] * vX_[725] + vX_[2851] * vX_[666] +
+ vX_[7573] * vX_[668];
+ vX_[2851] = 0 - vX_[7573];
+ vX_[5323] = vX_[7580] * vX_[1083] + vX_[7414] * vX_[602] + vX_[2889] * vX_[725] + vX_[2848] * vX_[666] +
+ vX_[5323] * vX_[668];
+ vX_[2848] = 0 - vX_[5323];
+ vX_[2889] = 0 - vX_[7555] * vX_[1083] - vX_[7556] * vX_[602] - vX_[7565] * vX_[725] - vX_[7562] * vX_[666] -
+ vX_[7559] * vX_[668];
+ vX_[7414] = 0 - vX_[2889];
+ vX_[7540] = (vX_[7540] * vX_[3689] + vX_[2878] * vX_[510] + vX_[2868] * vX_[518] + vX_[2851] * vX_[690] +
+ vX_[2848] * vX_[628] + vX_[7414] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7580] = 0 - vX_[7586] * vX_[1426] - vX_[2910] * vX_[620] - vX_[2869] * vX_[723] - vX_[2859] * vX_[590] -
+ vX_[2855] * vX_[624] - vX_[7540] * vX_[637];
+ vX_[2899] = vX_[7151] - vX_[7580];
+ vX_[7430] = vX_[7559] + vX_[5323];
+ vX_[7579] = vX_[2899] * vX_[487] + vX_[7430] * vX_[485];
+ vX_[2903] = vX_[2889] - vX_[7580];
+ vX_[7438] = vX_[2903] * vX_[487];
+ vX_[7578] = vX_[2899] * vX_[473] + vX_[7430] * vX_[487];
+ vX_[2897] = vX_[2903] * vX_[485];
+ vX_[5374] = vX_[7578] + vX_[2897];
+ vX_[7577] = vX_[7579] * vX_[473] + vX_[7438] * vX_[485] + vX_[5374] * vX_[487];
+ vX_[2861] = 0 - vX_[7577];
+ vX_[2857] = vX_[7580] + vX_[7578] * vX_[473] + vX_[7438] * vX_[487];
+ vX_[2847] = 0 - vX_[2857];
+ vX_[2830] = vX_[7580] + vX_[7579] * vX_[487] + vX_[2897] * vX_[485];
+ vX_[2868] = vX_[7582] * vX_[1426] + vX_[5391] * vX_[620] + vX_[2890] * vX_[723] + vX_[2880] * vX_[590] +
+ vX_[5384] * vX_[624] + vX_[2868] * vX_[637];
+ vX_[5384] = vX_[2869] + vX_[2868];
+ vX_[2880] = vX_[7562] + vX_[7573] - vX_[5384];
+ vX_[2878] = vX_[7581] * vX_[1426] + vX_[7011] * vX_[620] + vX_[2893] * vX_[723] + vX_[2886] * vX_[590] +
+ vX_[7571] * vX_[624] + vX_[2878] * vX_[637];
+ vX_[7571] = vX_[2910] + vX_[2878];
+ vX_[2886] = 0 - (vX_[7563] + vX_[7574]) + vX_[7571];
+ vX_[2893] = (vX_[7571] * vX_[473] + vX_[5384] * vX_[487]) * -1;
+ vX_[7011] = 0 - (vX_[2880] * vX_[487] + vX_[2886] * vX_[485]) + vX_[2893];
+ vX_[7581] = vX_[7011] + vX_[2857] * vX_[474];
+ vX_[2890] = 0 - vX_[7581];
+ vX_[5391] = (vX_[7571] * vX_[487] + vX_[5384] * vX_[485]) * -1;
+ vX_[7582] = vX_[2880] * vX_[473] + vX_[2886] * vX_[487] + vX_[5391];
+ vX_[2798] = 0 - vX_[2830];
+ vX_[2844] = vX_[7582] + vX_[7577] * vX_[474] + vX_[2798] * vX_[393];
+ vX_[2838] = vX_[7566] + vX_[5340];
+ vX_[2834] = vX_[7561] + vX_[5342];
+ vX_[2840] = vX_[2838] * vX_[485] + vX_[2834] * vX_[487];
+ vX_[2836] = vX_[7556] + vX_[7576];
+ vX_[2825] = vX_[7565] + vX_[5338];
+ vX_[2821] = vX_[2836] * vX_[487] + vX_[2825] * vX_[485];
+ vX_[2827] = vX_[2840] * vX_[473] + vX_[2821] * vX_[487];
+ vX_[7414] = vX_[7585] * vX_[1426] + vX_[7394] * vX_[620] + vX_[2872] * vX_[723] + vX_[2865] * vX_[590] +
+ vX_[7572] * vX_[624] + vX_[7414] * vX_[637];
+ vX_[7572] = vX_[7540] + vX_[7414];
+ vX_[2848] = vX_[7584] * vX_[1426] + vX_[7003] * vX_[620] + vX_[2901] * vX_[723] + vX_[2882] * vX_[590] +
+ vX_[5378] * vX_[624] + vX_[2848] * vX_[637];
+ vX_[5378] = vX_[2855] + vX_[2848];
+ vX_[2882] = 0 - vX_[5378];
+ vX_[2901] = vX_[7572] * vX_[487] + vX_[2882] * vX_[485];
+ vX_[7003] = 0 - vX_[2901];
+ vX_[7584] = vX_[2827] + vX_[7003] * vX_[393] + vX_[2847] * vX_[489];
+ vX_[2865] = 0 - vX_[7584];
+ vX_[2872] = vX_[2838] * vX_[487] + vX_[2834] * vX_[473];
+ vX_[7394] = vX_[2836] * vX_[473] + vX_[2825] * vX_[487];
+ vX_[7585] = vX_[2872] * vX_[487] + vX_[7394] * vX_[485];
+ vX_[5378] = 0 - vX_[5378];
+ vX_[2823] = vX_[7572] * vX_[473] + vX_[5378] * vX_[487];
+ vX_[2752] = 0 - vX_[2823];
+ vX_[2748] = vX_[7585] + vX_[2752] * vX_[474] + vX_[2830] * vX_[489];
+ vX_[2754] = vX_[2872] * vX_[473] + vX_[7394] * vX_[487];
+ vX_[2750] = vX_[2754] + vX_[2901] * vX_[474];
+ vX_[2679] = vX_[2840] * vX_[487] + vX_[2821] * vX_[485];
+ vX_[2675] = vX_[2679] + vX_[2823] * vX_[393] + vX_[2861] * vX_[489];
+ vX_[2681] = 0 - vX_[2750] + vX_[2675];
+ vX_[2677] = 0 - vX_[7577];
+ vX_[2606] = 0 - vX_[2857];
+ vX_[2847] = vX_[2861] * vX_[611] + vX_[2847] * vX_[556] + vX_[2830] * vX_[452] + vX_[2890] * vX_[490] +
+ vX_[2844] * vX_[501] + vX_[2865] * vX_[481] + vX_[2748] * vX_[475] + vX_[2681] * vX_[472] +
+ vX_[2677] * vX_[608] + vX_[7577] * vX_[605] + vX_[2606] * vX_[555] + vX_[2830] * vX_[559];
+ vX_[2861] = 0 - vX_[7409];
+ vX_[2602] = vX_[7820] * 0.881 + (0 - vX_[7837]) * 0.1104774 + vX_[7839] * 0.0004405;
+ vX_[2608] = vX_[7831] * 0.00185880198235362 + vX_[7833] * 0.880992588508842 + vX_[7837] * -8.81e-05;
+ vX_[2604] = vX_[2861] * vX_[1305] + vX_[2602] * vX_[46] + vX_[2608] * x_in[26];
+ vX_[4932] = 0 - vX_[7441] + vX_[4928] - vX_[4932];
+ vX_[4928] = 0 - vX_[2602];
+ vX_[7441] = vX_[7831] * 0.414812462825713 + vX_[7833] * 0.00185880198235362 + vX_[7839] * 8.81e-05;
+ vX_[2510] = vX_[4932] * vX_[1305] + vX_[4928] * vX_[42] - vX_[7441] * x_in[26];
+ vX_[2493] = 0 - vX_[4941];
+ vX_[2490] = vX_[7818] * 3.146 + (0 - vX_[7819]) * 0.47422804 + vX_[7829] * -0.0825825;
+ vX_[2507] = vX_[7822] * vX_[449] + vX_[7823] * vX_[448] + vX_[7819] * vX_[425] + vX_[7829] * vX_[420];
+ vX_[2501] = vX_[2604] * vX_[395] + vX_[2510] * vX_[397] + vX_[2493] * vX_[1233] + vX_[2490] * vX_[15] +
+ vX_[2507] * x_in[25];
+ vX_[5256] = 0 - vX_[5300] + vX_[5256];
+ vX_[5300] = 0 - vX_[2490];
+ vX_[2497] = vX_[7822] * vX_[447] + vX_[7823] * vX_[449] + vX_[7819] * vX_[431] + vX_[7829] * vX_[430];
+ vX_[2503] = vX_[2604] * vX_[1690] + vX_[2510] * vX_[395] + vX_[5256] * vX_[1233] + vX_[5300] * vX_[43] -
+ vX_[2497] * x_in[25];
+ vX_[2499] = vX_[7777] * -3.44;
+ vX_[2489] = vX_[7801] * 0.1466472;
+ vX_[2472] = vX_[7816] * 0.5824264;
+ vX_[2469] = 0 - vX_[2499] + vX_[2489] - vX_[2472];
+ vX_[2486] = 0 - vX_[5370];
+ vX_[2480] = vX_[7805] * vX_[501] + vX_[7777] * vX_[475] + vX_[7811] * vX_[472] + vX_[7814] * vX_[605] +
+ vX_[7816] * vX_[553];
+ vX_[2476] = vX_[2501] * vX_[1686] + vX_[2503] * vX_[421] + vX_[2469] * vX_[10] + vX_[2486] * vX_[1882] -
+ vX_[2480] * x_in[24];
+ vX_[2482] = vX_[7151] + vX_[2889] + vX_[7580] - vX_[2857] - vX_[2830];
+ vX_[2478] = 0 - vX_[2482];
+ vX_[2893] = vX_[2893] + vX_[2478] * vX_[474];
+ vX_[5391] = vX_[5391] + vX_[2482] * vX_[393];
+ vX_[2468] = 0 - vX_[2844];
+ vX_[2451] = 0 - vX_[2748];
+ vX_[2851] = vX_[7583] * vX_[1426] + vX_[7152] * vX_[620] + vX_[2907] * vX_[723] + vX_[2876] * vX_[590] +
+ vX_[5401] * vX_[624] + vX_[2851] * vX_[637];
+ vX_[5401] = vX_[2859] + vX_[2851] + vX_[2834] + vX_[2825] - vX_[2754] - vX_[2679];
+ vX_[2675] = vX_[5401] - vX_[2675];
+ vX_[2876] = 0 - vX_[2901];
+ vX_[2907] = 0 - vX_[7577];
+ vX_[7152] = 0 - vX_[2830];
+ vX_[7583] = vX_[5329] - vX_[7575];
+ vX_[2448] = vX_[7144] - vX_[7575];
+ vX_[2465] = vX_[7569] + vX_[5327];
+ vX_[2459] = vX_[7567] + vX_[6665];
+ vX_[2455] = vX_[7564] + vX_[6647];
+ vX_[2461] = 0 - vX_[2455];
+ vX_[2457] = vX_[7583] * vX_[487] + vX_[2465] * vX_[485];
+ vX_[2447] = vX_[2448] * vX_[487];
+ vX_[2430] = vX_[7583] * vX_[473] + vX_[2465] * vX_[487];
+ vX_[2398] = vX_[2448] * vX_[485];
+ vX_[2444] = vX_[2430] + vX_[2398];
+ vX_[2438] = vX_[7820] * 0.0004405 + vX_[7831] * -8.81e-05 + vX_[7839] * -0.000227999999999999;
+ vX_[2434] = vX_[7820] * 0.1104774 + vX_[7833] * -8.81e-05 + (0 - vX_[7837]) * 0.025713;
+ vX_[2440] = (0 - vX_[7831]) * 0.0004405;
+ vX_[2436] = (0 - vX_[7833]) * 0.1104774;
+ vX_[2425] = vX_[2440] + vX_[2436];
+ vX_[2425] = vX_[2861] * vX_[1931] + vX_[4932] * vX_[1617] + vX_[2438] * vX_[42] + vX_[2434] * vX_[46] +
+ vX_[2425] * vX_[1305] + vX_[2425] * vX_[1305];
+ vX_[4932] = vX_[7818] * -0.0825825 + (0 - vX_[7824]) * 0.000102 + vX_[7819] * 0.007418 + vX_[7829] * 0.002735;
+ vX_[2861] = vX_[7818] * 0.47422804 + vX_[7824] * 2.1e-05 + (0 - vX_[7819]) * 0.084376 + (0 - vX_[7829]) * 0.007418;
+ vX_[2421] = (0 - vX_[7822]) * -0.0825825;
+ vX_[2427] = (0 - vX_[7823]) * 0.47422804;
+ vX_[2423] = vX_[7819] * 0.000102;
+ vX_[2352] = (0 - vX_[7829]) * 2.1e-05;
+ vX_[2348] = vX_[2421] + vX_[2427] + vX_[2423] + vX_[2352];
+ vX_[2348] = vX_[2425] + vX_[2604] * vX_[1698] + vX_[2510] * vX_[400] + vX_[2493] * vX_[1145] +
+ vX_[5256] * vX_[916] + vX_[4932] * vX_[43] + vX_[2861] * vX_[15] + vX_[2348] * vX_[1233] +
+ vX_[2348] * vX_[1233];
+ vX_[5256] = vX_[7777] * 0.5824264 + (0 - vX_[7801]) * -0.022734 + vX_[7814] * -3.6e-05 + vX_[7816] * -0.133138;
+ vX_[2493] = vX_[7777] * 0.1466472 + vX_[7801] * 0.009466 + (0 - vX_[7814]) * -5.1e-05 + vX_[7816] * -0.022734;
+ vX_[2354] = (0 - vX_[7805]) * 0.5824264;
+ vX_[2350] = (0 - vX_[7811]) * 0.1466472;
+ vX_[2279] = (0 - vX_[7801]) * -3.6e-05;
+ vX_[2275] = (0 - vX_[7816]) * -5.1e-05;
+ vX_[2281] = vX_[2354] + vX_[2350] + vX_[2279] - vX_[2275];
+ vX_[2277] = vX_[7805] * vX_[506] + vX_[7777] * vX_[553] + vX_[7811] * vX_[608] + vX_[7814] * vX_[607] +
+ vX_[7816] * vX_[469];
+ vX_[2281] = vX_[2501] * vX_[1687] + vX_[2503] * vX_[439] + vX_[2348] * -1 + vX_[5388] * vX_[5] +
+ vX_[2486] * vX_[1543] + vX_[5256] * vX_[10] + vX_[2493] * vX_[2916] + vX_[2281] * vX_[1882] +
+ vX_[2281] * vX_[1882] + vX_[2277] * x_in[24];
+ vX_[7835] = vX_[7831] * 0.1104774 + vX_[7833] * 0.0004405 + vX_[7835] * 0.025941;
+ vX_[2486] = (0 - vX_[7820]) * -8.81e-05;
+ vX_[2436] = vX_[2486] + vX_[2436];
+ vX_[7839] = vX_[7820] * 0.0004405 + vX_[7831] * 8.81e-05 + vX_[7839] * 0.000468;
+ vX_[2436] = vX_[7409] * vX_[4114] + vX_[4928] * vX_[1617] + vX_[2438] * vX_[1305] + vX_[7835] * vX_[46] +
+ vX_[2436] * vX_[42] + vX_[2436] * vX_[42] + vX_[7839] * x_in[26];
+ vX_[2486] = vX_[2486] + vX_[2440];
+ vX_[7837] = vX_[7820] * -0.1104774 + vX_[7833] * -8.81e-05 + vX_[7837] * 0.026409;
+ vX_[2486] = vX_[7156] * vX_[4114] + vX_[2602] * vX_[1931] + vX_[2434] * vX_[1305] + vX_[7835] * vX_[42] +
+ vX_[2486] * vX_[46] + vX_[2486] * vX_[46] - vX_[7837] * x_in[26];
+ vX_[7835] = vX_[7822] * 0.47422804 + vX_[7823] * -0.0825825 + vX_[7824] * 0.081641 + (0 - vX_[7819]) * 2.1e-05 +
+ vX_[7829] * 0.000102;
+ vX_[2434] = (0 - vX_[7824]) * 0.007418;
+ vX_[2352] = vX_[2427] + vX_[2434] - vX_[2352];
+ vX_[2427] = vX_[7818] * vX_[415] + vX_[7822] * vX_[430] + vX_[7823] * vX_[420] + vX_[7819] * vX_[464] +
+ vX_[7829] * vX_[460];
+ vX_[2352] = vX_[4924] * -0.35 + vX_[2436] * vX_[395] + vX_[2486] * vX_[397] + vX_[4941] * vX_[4117] +
+ vX_[5300] * vX_[916] + vX_[4932] * vX_[1233] + vX_[7835] * vX_[15] + vX_[2352] * vX_[43] +
+ vX_[2352] * vX_[43] + vX_[2427] * x_in[25];
+ vX_[2434] = vX_[2421] - vX_[2434] - vX_[2423];
+ vX_[2423] = vX_[7818] * vX_[427] + vX_[7822] * vX_[431] + vX_[7823] * vX_[425] + vX_[7819] * vX_[458] +
+ vX_[7829] * vX_[464];
+ vX_[2434] = vX_[2436] * vX_[398] + vX_[2486] * vX_[395] + vX_[6657] * vX_[4117] + vX_[2490] * vX_[1145] +
+ vX_[2861] * vX_[1233] + vX_[7835] * vX_[43] + vX_[2434] * vX_[15] + vX_[2434] * vX_[15] -
+ vX_[2423] * x_in[25];
+ vX_[2472] = vX_[2499] - vX_[2489] + vX_[2472];
+ vX_[2489] = vX_[7805] * 0.1466472 + vX_[7811] * 0.5824264 + vX_[7801] * -5.1e-05 + (0 - vX_[7814]) * -0.123672 +
+ (0 - vX_[7816]) * -3.6e-05;
+ vX_[2499] = vX_[7814] * -0.022734;
+ vX_[2279] = vX_[2354] - vX_[2279] - vX_[2499];
+ vX_[2354] = vX_[7805] * vX_[443] + vX_[7777] * vX_[605] + vX_[7811] * vX_[554] + vX_[7814] * vX_[552] +
+ vX_[7816] * vX_[607];
+ vX_[2279] = vX_[2352] * vX_[433] + vX_[2434] * vX_[421] + vX_[2472] * vX_[5] + vX_[5370] * vX_[4129] +
+ vX_[2489] * vX_[10] + vX_[2493] * vX_[1882] + vX_[2279] * vX_[2916] + vX_[2279] * vX_[2916] -
+ vX_[2354] * x_in[24];
+ vX_[7866] = vX_[7866] * vX_[2082];
+ vX_[2493] = vX_[7866] * vX_[395];
+ vX_[7867] = vX_[7867] * vX_[2082];
+ vX_[5370] = vX_[7867] * vX_[1702];
+ vX_[7868] = vX_[7868] * vX_[2082];
+ vX_[7835] = 0 - vX_[7868];
+ vX_[7838] = vX_[7838] * vX_[2077];
+ vX_[2861] = vX_[7838] * vX_[395];
+ vX_[2490] = vX_[7838] * vX_[1702];
+ vX_[6657] = 0 - vX_[2490];
+ vX_[7854] = vX_[7854] * vX_[2089];
+ vX_[2421] = vX_[7854] * vX_[1702];
+ vX_[7842] = vX_[7842] * vX_[1911];
+ vX_[4932] = vX_[7842] * vX_[395];
+ vX_[7840] = vX_[7840] * vX_[2077];
+ vX_[5300] = vX_[7840] * vX_[395];
+ vX_[4941] = vX_[7840] * vX_[1702];
+ vX_[4924] = vX_[7854] * vX_[395];
+ vX_[7855] = vX_[7855] * vX_[2089];
+ vX_[2602] = 0 - vX_[7855];
+ vX_[7156] = vX_[2602] * vX_[395];
+ vX_[7833] = vX_[7855] * vX_[1702];
+ vX_[7820] = vX_[7866] + vX_[7842];
+ vX_[7843] = vX_[7843] * vX_[1911];
+ vX_[2440] = 0 - vX_[7867] - vX_[7843];
+ vX_[2438] = vX_[7820] * vX_[1702] + vX_[2440] * vX_[395];
+ vX_[4928] = vX_[7843] * vX_[1702];
+ vX_[7860] = vX_[7860] * vX_[2089] + vX_[7848] * vX_[2077];
+ vX_[7848] = 0 - vX_[7860];
+ vX_[7409] = 0 - vX_[7860];
+ vX_[7831] = vX_[7409] * vX_[395];
+ vX_[2206] = vX_[7860] * vX_[1702];
+ vX_[2202] = vX_[7861] * vX_[1830] + vX_[7943] * vX_[1782] + vX_[7946] * vX_[1814];
+ vX_[2208] = 0 - vX_[2202];
+ vX_[2204] = vX_[7861] * vX_[1920] + vX_[7943] * vX_[1815] + vX_[7946] * vX_[1776];
+ vX_[2107] = vX_[2208] * x_in[18] + vX_[2204] * x_in[19];
+ vX_[2106] = 0 - vX_[2107];
+ vX_[2085] = 0 - vX_[2107];
+ vX_[2103] = vX_[2085] * vX_[395];
+ vX_[2087] = vX_[2107] * vX_[1702];
+ vX_[7861] = vX_[7861] * vX_[1812] + vX_[7943] * vX_[1831] + vX_[7946] * vX_[1921];
+ jac[932] = vX_[2497] * vX_[1708] + vX_[2507] * vX_[1145] + vX_[2423] * vX_[2090] + vX_[2427] * vX_[43] + vX_[2348] +
+ vX_[7861] * vX_[1835] + vX_[2202] * vX_[1788] + vX_[2204] * vX_[1821];
+ jac[968] = vX_[7441] * vX_[1739] + vX_[2608] * vX_[1931] + vX_[7837] * vX_[6] + vX_[7839] * vX_[42] + vX_[2425] +
+ vX_[7861] * vX_[1845] + vX_[2202] * vX_[1799] + vX_[2204] * vX_[1818];
+ vX_[7837] = vX_[7861] * x_in[26];
+ vX_[7839] = vX_[7837] * vX_[395];
+ vX_[2425] = vX_[7837] * vX_[1702];
+ vX_[7441] = vX_[7861] * x_in[25];
+ vX_[2608] = vX_[2202] * x_in[24];
+ vX_[2423] = 0 - vX_[2608];
+ vX_[2427] = vX_[7441] * vX_[395];
+ vX_[2348] = 0 - vX_[2608];
+ vX_[2497] = vX_[2348] * vX_[395];
+ vX_[2507] = vX_[7441] * vX_[1702];
+ vX_[7946] = vX_[2608] * vX_[1702];
+ vX_[7943] = vX_[7872] * vX_[1876];
+ vX_[2096] = 0 - vX_[7943];
+ vX_[2098] = 0 - vX_[7943];
+ vX_[2080] = vX_[2098] * vX_[395];
+ vX_[2075] = vX_[7943] * vX_[1702];
+ vX_[2074] = 0 - vX_[2893];
+ vX_[2053] = 0 - vX_[5391];
+ vX_[5401] = 0 - vX_[5401] + vX_[2750];
+ vX_[2750] = 0 - vX_[2823];
+ vX_[2455] = 0 - vX_[2455];
+ vX_[7832] = vX_[7832] * vX_[2077];
+ vX_[2071] = vX_[7832] * vX_[1702];
+ vX_[7834] = vX_[7834] * vX_[2077];
+ vX_[2055] = 0 - vX_[7834];
+ vX_[2064] = vX_[2055] * vX_[395];
+ vX_[7836] = vX_[7836] * vX_[2077];
+ vX_[2066] = 0 - vX_[7836];
+ vX_[7853] = vX_[7853] * vX_[2089];
+ vX_[7869] = vX_[7869] * vX_[2082];
+ vX_[2048] = vX_[7869] * vX_[395];
+ vX_[2043] = vX_[7869] * vX_[1702];
+ vX_[7858] = vX_[7858] * vX_[2079];
+ vX_[2042] = vX_[7858] * vX_[1702];
+ vX_[7870] = vX_[7870] * vX_[2082];
+ vX_[2021] = vX_[7870] * vX_[395];
+ vX_[2039] = 0 - vX_[2021];
+ vX_[2023] = vX_[7870] * vX_[1702];
+ vX_[7859] = vX_[7859] * vX_[2079];
+ vX_[2032] = 0 - vX_[7859];
+ vX_[2034] = vX_[2032] * vX_[395];
+ vX_[2016] = vX_[7832] + vX_[7858];
+ vX_[7859] = vX_[7834] + vX_[7859];
+ vX_[7834] = vX_[2016] * vX_[395] + vX_[7859] * vX_[1702];
+ vX_[7856] = vX_[7856] * vX_[2089] + vX_[7847] * vX_[2082];
+ vX_[7847] = 0 - vX_[7856];
+ vX_[2011] = 0 - vX_[7856];
+ vX_[2010] = vX_[2011] * vX_[395];
+ vX_[1989] = vX_[7856] * vX_[1702];
+ vX_[2007] = 0 - vX_[2204];
+ vX_[1991] = vX_[7861] * x_in[18] + vX_[2007] * x_in[20];
+ vX_[2000] = 0 - vX_[1991];
+ vX_[2002] = vX_[1991] * vX_[1702];
+ vX_[1984] = vX_[7861] * x_in[24];
+ vX_[1888] = vX_[1984] * vX_[1702];
+ vX_[1973] = vX_[2202] * x_in[26];
+ vX_[1976] = vX_[1973] * vX_[395];
+ vX_[1980] = vX_[1973] * vX_[1702];
+ vX_[1575] = vX_[2202] * x_in[25];
+ vX_[1657] = vX_[1984] * vX_[395];
+ vX_[1660] = vX_[1575] * vX_[395];
+ vX_[1664] = vX_[1575] * vX_[1702];
+ vX_[1263] = vX_[7872] * vX_[1866];
+ vX_[1347] = 0 - vX_[1263];
+ vX_[1350] = 0 - vX_[1991];
+ vX_[1354] = 0 - vX_[1263];
+ vX_[952] = vX_[1350] * vX_[395] + vX_[1354] * vX_[395];
+ vX_[1036] = vX_[1263] * vX_[1702];
+ jac[248] =
+ 0 -
+ (0 - (vX_[7568] * vX_[4135] + vX_[5325] * x_in[22]) +
+ (vX_[7560] * vX_[4135] + vX_[2847] * vX_[487] + vX_[5325] * x_in[20]) * -0.3735 -
+ (vX_[7570] * vX_[3739] + vX_[2476] * x_in[23]) + (vX_[7555] * vX_[3739] + vX_[2476] * x_in[19]) * 0.3735 +
+ (vX_[7586] * vX_[3739] +
+ (vX_[7003] * vX_[556] + vX_[2823] * vX_[611] + vX_[2482] * vX_[500] + vX_[2798] * vX_[502] +
+ vX_[2893] * vX_[472] + vX_[5391] * vX_[481] + vX_[2468] * vX_[484] + vX_[2451] * vX_[501] +
+ vX_[2675] * vX_[490] + vX_[2876] * vX_[554] + vX_[2823] * vX_[608] + vX_[2907] * vX_[443] +
+ vX_[7152] * vX_[561]) *
+ -1 +
+ vX_[2476] * x_in[18]) *
+ -0.207 -
+ (vX_[7560] * vX_[1456] + vX_[7555] * vX_[1893] + vX_[7583] * vX_[719] + vX_[2448] * vX_[717] +
+ vX_[2465] * vX_[715] + vX_[2459] * vX_[688] + vX_[2461] * vX_[490] + vX_[2457] * vX_[696] +
+ vX_[2447] * vX_[695] + vX_[2444] * vX_[472] + vX_[2838] * vX_[680] + vX_[2836] * vX_[658] +
+ vX_[7571] * vX_[508] + vX_[5384] * vX_[498] + vX_[2834] * vX_[681] + vX_[2825] * vX_[661] +
+ vX_[2872] * vX_[659] + vX_[2840] * vX_[610] + vX_[7394] * vX_[660] + vX_[2821] * vX_[657] +
+ vX_[2880] * vX_[497] + vX_[2886] * vX_[507] + vX_[2899] * vX_[617] + vX_[2903] * vX_[615] +
+ vX_[7430] * vX_[613] + vX_[7572] * vX_[634] + vX_[5378] * vX_[635] + vX_[7579] * vX_[562] +
+ vX_[7438] * vX_[558] + vX_[5374] * vX_[612] + vX_[2847] * vX_[488] + vX_[2281] * x_in[19] +
+ vX_[2279] * x_in[20]) +
+ vX_[7821] * vX_[2077] + vX_[7857] * vX_[2079] + vX_[2493] * vX_[394] + vX_[5370] * vX_[394] +
+ vX_[7835] * vX_[394] * 0.35 + vX_[7868] * 0.3735 + vX_[2861] * 0.35 + vX_[2861] * vX_[421] * 0.08 +
+ vX_[2861] * vX_[394] * -0.3735 + vX_[6657] * vX_[421] * 0.3735 + vX_[2490] * vX_[394] * -0.08 +
+ vX_[2421] * vX_[421] * 0.207 + vX_[4932] * vX_[394] + vX_[5300] * vX_[421] * 0.3735 +
+ vX_[5300] * vX_[394] * 0.08 + vX_[4941] * 0.35 + vX_[4941] * vX_[394] * -0.3735 +
+ (vX_[4924] * vX_[394] + vX_[7156] * vX_[421]) * 0.207 + vX_[7833] * vX_[394] * 0.207 +
+ vX_[2438] * vX_[421] + vX_[4928] * vX_[394] + (vX_[4941] * vX_[421] - vX_[7860]) * 0.08 +
+ vX_[7848] * vX_[421] * 0.35 + vX_[7831] * vX_[421] * 0.33 + vX_[2206] * vX_[394] * 0.33 +
+ (0 - vX_[2107]) * 0.08 + vX_[2106] * vX_[421] * 0.35 + vX_[2103] * vX_[421] * 0.33 +
+ vX_[2087] * vX_[394] * 0.33 + vX_[7839] * vX_[394] * 0.33 + vX_[2425] * vX_[421] * 0.33 +
+ vX_[7441] * vX_[394] * 0.35 + (0 - vX_[2608]) * 0.08 + vX_[2423] * vX_[421] * 0.35 +
+ (vX_[2427] * vX_[394] + vX_[2497] * vX_[421]) * 0.33 +
+ (vX_[2507] * vX_[421] + vX_[7946] * vX_[394]) * 0.33 + (0 - vX_[7943]) * 0.08 +
+ vX_[2096] * vX_[421] * 0.35 + vX_[2080] * vX_[421] * 0.33 + vX_[2075] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[7570] * vX_[4135] + vX_[7560] * vX_[1893] + vX_[7583] * vX_[715] + vX_[2459] * vX_[490] +
+ vX_[2430] * vX_[695] + vX_[2457] * vX_[472] + vX_[2836] * vX_[661] + vX_[7571] * vX_[498] +
+ vX_[2834] * vX_[680] + vX_[2872] * vX_[660] + vX_[2840] * vX_[657] + vX_[2880] * vX_[507] +
+ vX_[2899] * vX_[613] + vX_[7572] * vX_[635] + vX_[7578] * vX_[558] + vX_[7579] * vX_[612] +
+ (vX_[2901] * vX_[609] + vX_[2752] * vX_[452] + vX_[7577] * vX_[502] + vX_[2478] * vX_[476] +
+ vX_[2857] * vX_[491] + vX_[2074] * vX_[475] + vX_[7581] * vX_[484] + vX_[2053] * vX_[472] +
+ vX_[7584] * vX_[490] + vX_[5401] * vX_[501] + vX_[2901] * vX_[605] + vX_[2750] * vX_[553] +
+ vX_[7577] * vX_[506] + vX_[2857] * vX_[550]) *
+ 0.207 +
+ vX_[5325] * x_in[23] + vX_[2281] * x_in[20] +
+ (vX_[7555] * vX_[4135] + vX_[2847] * vX_[485] + vX_[5325] * x_in[19]) * -0.3735 +
+ (vX_[7586] * vX_[4135] + vX_[5325] * x_in[18]) * 0.207 - (vX_[7568] * vX_[3739] + vX_[2476] * x_in[22]) +
+ (vX_[7560] * vX_[3739] + vX_[2476] * x_in[20]) * -0.3735 -
+ (vX_[7555] * vX_[1456] + vX_[2448] * vX_[716] + vX_[2465] * vX_[719] + vX_[2455] * vX_[688] +
+ vX_[2447] * vX_[472] + vX_[2398] * vX_[696] + vX_[2838] * vX_[681] + vX_[5384] * vX_[508] +
+ vX_[2825] * vX_[658] + vX_[7394] * vX_[659] + vX_[2821] * vX_[610] + vX_[2886] * vX_[497] +
+ vX_[2903] * vX_[614] + vX_[7430] * vX_[617] + vX_[2882] * vX_[634] + vX_[7438] * vX_[612] +
+ vX_[2897] * vX_[562] + vX_[2847] * vX_[486] + vX_[2279] * x_in[19]) -
+ vX_[7865] * vX_[2082] + vX_[2071] * vX_[421] + vX_[2064] * vX_[421] + vX_[2066] * vX_[394] * 0.35 +
+ vX_[7836] * 0.3735 + (0 - vX_[7853]) * 0.207 - vX_[7841] * vX_[1911] + (0 - vX_[2048]) * 0.35 +
+ (0 - vX_[2048] * vX_[421]) * 0.08 + vX_[2048] * vX_[394] * 0.3735 + vX_[2043] * vX_[421] * 0.3735 +
+ vX_[2043] * vX_[394] * 0.08 + vX_[2042] * vX_[421] + vX_[2039] * vX_[421] * 0.3735 +
+ (0 - vX_[2021] * vX_[394]) * 0.08 + (0 - vX_[2023]) * 0.35 + (0 - vX_[2023] * vX_[421]) * 0.08 +
+ vX_[2023] * vX_[394] * 0.3735 + vX_[2034] * vX_[421] + vX_[7834] * vX_[394] + (0 - vX_[7856]) * 0.08 +
+ vX_[7847] * vX_[421] * 0.35 + vX_[2010] * vX_[421] * 0.33 + vX_[1989] * vX_[394] * 0.33 +
+ (0 - vX_[1991]) * 0.08 + vX_[2000] * vX_[421] * 0.35 + vX_[2002] * vX_[394] * 0.33 + vX_[1984] * 0.08 +
+ vX_[1984] * vX_[421] * 0.35 + vX_[1888] * vX_[394] * -0.33 + vX_[1976] * vX_[394] * 0.33 +
+ vX_[1980] * vX_[421] * 0.33 + vX_[1575] * vX_[394] * 0.35 +
+ (vX_[1657] * vX_[421] + vX_[1660] * vX_[394]) * 0.33 + vX_[1664] * vX_[421] * 0.33 +
+ (0 - vX_[1263]) * 0.08 + vX_[1347] * vX_[421] * 0.35 + vX_[952] * vX_[421] * 0.33 +
+ vX_[1036] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[7836] = vX_[8252] * 0.881 + (0 - vX_[8254]) * 0.0004405 + vX_[8256] * -8.81e-05;
+ vX_[7868] = vX_[8250] * -0.881;
+ vX_[2465] = vX_[8254] * 0.1104774;
+ vX_[2448] = vX_[8258] * -8.81e-05;
+ vX_[7583] = vX_[7868] - vX_[2465] + vX_[2448];
+ vX_[2478] = vX_[7836] * vX_[42] + vX_[7583] * vX_[46];
+ vX_[2482] = vX_[8242] * 3.146 + (0 - vX_[8243]) * -0.0825825;
+ vX_[2847] = vX_[8241] * -3.146;
+ vX_[2752] = vX_[8243] * 0.47422804;
+ vX_[5378] = vX_[2847] - vX_[2752];
+ vX_[7394] = vX_[2478] + vX_[2482] * vX_[43] + vX_[5378] * vX_[15];
+ vX_[2872] = vX_[8230] * 3.44 + vX_[8233] * 0.5824264;
+ vX_[7003] = 0 - vX_[2872];
+ vX_[2882] = vX_[8224] * 3.44 + (0 - vX_[8233]) * 0.1466472;
+ vX_[7572] = vX_[8224] * vX_[490] + vX_[8196] * vX_[472] + vX_[8230] * vX_[481] + vX_[8233] * vX_[554] +
+ vX_[8235] * vX_[608];
+ vX_[2821] = vX_[7394] * -1 + vX_[7003] * vX_[10] + vX_[2882] * vX_[2916] + vX_[7572] * x_in[24];
+ vX_[2825] = 0 - vX_[7989] * vX_[4116];
+ vX_[2836] = 0 - vX_[2825];
+ vX_[2840] = 0 - vX_[2825];
+ vX_[7988] = (vX_[7988] * vX_[4116] + vX_[2840] * vX_[743]) * 1 / vX_[718];
+ vX_[2834] = 0 - vX_[7988];
+ vX_[2838] = 0 - vX_[2825];
+ vX_[2798] = 0 - vX_[7988];
+ vX_[7983] = (vX_[7983] * vX_[4116] + vX_[2838] * vX_[689] + vX_[2798] * vX_[736]) * 1 / vX_[721];
+ vX_[2886] = 0 - vX_[7983];
+ vX_[7980] =
+ (vX_[7980] * vX_[4116] + vX_[2836] * vX_[682] + vX_[2834] * vX_[730] + vX_[2886] * vX_[509]) * 1 / vX_[618];
+ vX_[2840] = vX_[7990] * vX_[1853] + vX_[2840] * vX_[712];
+ vX_[7990] = 0 - vX_[2840];
+ vX_[7571] = 0 - vX_[7987] * vX_[1853] - vX_[7988] * vX_[712];
+ vX_[2880] = 0 - vX_[7571];
+ vX_[5384] = 0 - vX_[2840];
+ vX_[5374] = 0 - vX_[7571];
+ vX_[7986] = (vX_[7986] * vX_[4108] + vX_[5384] * vX_[689] + vX_[5374] * vX_[736]) * 1 / vX_[721];
+ vX_[2897] = 0 - vX_[7986];
+ vX_[7985] =
+ (vX_[7985] * vX_[4108] + vX_[7990] * vX_[682] + vX_[2880] * vX_[730] + vX_[2897] * vX_[509]) * 1 / vX_[618];
+ vX_[5384] = vX_[7993] * vX_[41] + vX_[2838] * vX_[722] + vX_[5384] * vX_[737];
+ vX_[2838] = 0 - vX_[5384];
+ vX_[5374] = vX_[7994] * vX_[41] + vX_[2798] * vX_[722] + vX_[5374] * vX_[737];
+ vX_[2798] = 0 - vX_[5374];
+ vX_[7994] = 0 - vX_[7977] * vX_[41] - vX_[7983] * vX_[722] - vX_[7986] * vX_[737];
+ vX_[7993] = 0 - vX_[7994];
+ vX_[7982] =
+ (vX_[7982] * vX_[1647] + vX_[2838] * vX_[682] + vX_[2798] * vX_[730] + vX_[7993] * vX_[509]) * 1 / vX_[618];
+ vX_[7578] = 0 - vX_[7979] * vX_[801] - vX_[7980] * vX_[604] - vX_[7985] * vX_[731] - vX_[7982] * vX_[664];
+ vX_[7438] = 0 - vX_[2825];
+ vX_[2903] = 0 - vX_[7988];
+ vX_[7579] = 0 - vX_[7983];
+ vX_[7430] = 0 - vX_[7980];
+ vX_[2899] = 0 - vX_[2825];
+ vX_[7865] = 0 - vX_[7988];
+ vX_[7857] = 0 - vX_[7983];
+ vX_[7841] = 0 - vX_[7980];
+ vX_[7975] = (vX_[7975] * vX_[4116] + vX_[2899] * vX_[662] + vX_[7865] * vX_[633] + vX_[7857] * vX_[691] +
+ vX_[7841] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7821] = 0 - vX_[7975];
+ vX_[1039] = (vX_[7969] * vX_[4116] + vX_[7438] * vX_[510] + vX_[2903] * vX_[518] + vX_[7579] * vX_[690] +
+ vX_[7430] * vX_[628] + vX_[7821] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1043] = 0 - vX_[2840];
+ vX_[29] = 0 - vX_[7571];
+ vX_[28] = 0 - vX_[7986];
+ vX_[26] = 0 - vX_[7985];
+ vX_[22] = 0 - vX_[2840];
+ vX_[2088] = 0 - vX_[7571];
+ vX_[1763] = 0 - vX_[7986];
+ vX_[1848] = 0 - vX_[7985];
+ vX_[7984] = (vX_[7984] * vX_[4108] + vX_[22] * vX_[662] + vX_[2088] * vX_[633] + vX_[1763] * vX_[691] +
+ vX_[1848] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[1228] = 0 - vX_[7984];
+ vX_[2027] = (vX_[7969] * vX_[4108] + vX_[1043] * vX_[510] + vX_[29] * vX_[518] + vX_[28] * vX_[690] +
+ vX_[26] * vX_[628] + vX_[1228] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1140] = 0 - vX_[5384];
+ vX_[2024] = 0 - vX_[5374];
+ vX_[911] = 0 - vX_[7994];
+ vX_[1995] = 0 - vX_[7982];
+ vX_[826] = 0 - vX_[5384];
+ vX_[1992] = 0 - vX_[5374];
+ vX_[1926] = 0 - vX_[7994];
+ vX_[1966] = 0 - vX_[7982];
+ vX_[7981] = (vX_[7981] * vX_[1647] + vX_[826] * vX_[662] + vX_[1992] * vX_[633] + vX_[1926] * vX_[691] +
+ vX_[1966] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[1934] = 0 - vX_[7981];
+ vX_[1929] = (vX_[7969] * vX_[1647] + vX_[1140] * vX_[510] + vX_[2024] * vX_[518] + vX_[911] * vX_[690] +
+ vX_[1995] * vX_[628] + vX_[1934] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[2838] = vX_[7991] * vX_[801] + vX_[2836] * vX_[604] + vX_[7990] * vX_[731] + vX_[2838] * vX_[664];
+ vX_[7990] = 0 - vX_[2838];
+ vX_[2798] = vX_[7992] * vX_[801] + vX_[2834] * vX_[604] + vX_[2880] * vX_[731] + vX_[2798] * vX_[664];
+ vX_[2880] = 0 - vX_[2798];
+ vX_[7993] = vX_[7995] * vX_[801] + vX_[2886] * vX_[604] + vX_[2897] * vX_[731] + vX_[7993] * vX_[664];
+ vX_[2897] = 0 - vX_[7993];
+ vX_[2886] = 0 - vX_[7578];
+ vX_[7995] = 0 - vX_[2838];
+ vX_[2834] = 0 - vX_[2798];
+ vX_[7992] = 0 - vX_[7993];
+ vX_[2836] = 0 - vX_[7578];
+ vX_[7978] = (vX_[7978] * vX_[3708] + vX_[7995] * vX_[662] + vX_[2834] * vX_[633] + vX_[7992] * vX_[691] +
+ vX_[2836] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[7991] = 0 - vX_[7978];
+ vX_[1856] = (vX_[7969] * vX_[3708] + vX_[7990] * vX_[510] + vX_[2880] * vX_[518] + vX_[2897] * vX_[690] +
+ vX_[2886] * vX_[628] + vX_[7991] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7995] =
+ vX_[7996] * vX_[1083] + vX_[2899] * vX_[602] + vX_[22] * vX_[725] + vX_[826] * vX_[666] + vX_[7995] * vX_[668];
+ vX_[826] = 0 - vX_[7995];
+ vX_[2834] = vX_[7997] * vX_[1083] + vX_[7865] * vX_[602] + vX_[2088] * vX_[725] + vX_[1992] * vX_[666] +
+ vX_[2834] * vX_[668];
+ vX_[1992] = 0 - vX_[2834];
+ vX_[7992] = vX_[7998] * vX_[1083] + vX_[7857] * vX_[602] + vX_[1763] * vX_[725] + vX_[1926] * vX_[666] +
+ vX_[7992] * vX_[668];
+ vX_[1926] = 0 - vX_[7992];
+ vX_[2836] = vX_[7999] * vX_[1083] + vX_[7841] * vX_[602] + vX_[1848] * vX_[725] + vX_[1966] * vX_[666] +
+ vX_[2836] * vX_[668];
+ vX_[1966] = 0 - vX_[2836];
+ vX_[1848] = 0 - vX_[7974] * vX_[1083] - vX_[7975] * vX_[602] - vX_[7984] * vX_[725] - vX_[7981] * vX_[666] -
+ vX_[7978] * vX_[668];
+ vX_[7841] = 0 - vX_[1848];
+ vX_[7969] = (vX_[7969] * vX_[3689] + vX_[826] * vX_[510] + vX_[1992] * vX_[518] + vX_[1926] * vX_[690] +
+ vX_[1966] * vX_[628] + vX_[7841] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[7999] = 0 - vX_[8005] * vX_[1426] - vX_[1039] * vX_[620] - vX_[2027] * vX_[723] - vX_[1929] * vX_[590] -
+ vX_[1856] * vX_[624] - vX_[7969] * vX_[637];
+ vX_[1763] = vX_[7578] - vX_[7999];
+ vX_[7857] = vX_[7978] + vX_[2836];
+ vX_[7998] = vX_[1763] * vX_[487] + vX_[7857] * vX_[485];
+ vX_[2088] = vX_[1848] - vX_[7999];
+ vX_[7865] = vX_[2088] * vX_[487];
+ vX_[7997] = vX_[1763] * vX_[473] + vX_[7857] * vX_[487];
+ vX_[22] = vX_[2088] * vX_[485];
+ vX_[2899] = vX_[7997] + vX_[22];
+ vX_[7996] = vX_[7998] * vX_[473] + vX_[7865] * vX_[485] + vX_[2899] * vX_[487];
+ vX_[1851] = 0 - vX_[7996];
+ vX_[1771] = vX_[7999] + vX_[7997] * vX_[473] + vX_[7865] * vX_[487];
+ vX_[1766] = 0 - vX_[1771];
+ vX_[1612] = vX_[7999] + vX_[7998] * vX_[487] + vX_[22] * vX_[485];
+ vX_[1992] = vX_[8001] * vX_[1426] + vX_[2903] * vX_[620] + vX_[29] * vX_[723] + vX_[2024] * vX_[590] +
+ vX_[2880] * vX_[624] + vX_[1992] * vX_[637];
+ vX_[2880] = vX_[2027] + vX_[1992];
+ vX_[2024] = vX_[7981] + vX_[7992] - vX_[2880];
+ vX_[826] = vX_[8000] * vX_[1426] + vX_[7438] * vX_[620] + vX_[1043] * vX_[723] + vX_[1140] * vX_[590] +
+ vX_[7990] * vX_[624] + vX_[826] * vX_[637];
+ vX_[7990] = vX_[1039] + vX_[826];
+ vX_[1140] = 0 - (vX_[7982] + vX_[7993]) + vX_[7990];
+ vX_[1043] = (vX_[7990] * vX_[473] + vX_[2880] * vX_[487]) * -1;
+ vX_[7438] = 0 - (vX_[2024] * vX_[487] + vX_[1140] * vX_[485]) + vX_[1043];
+ vX_[8000] = vX_[7438] + vX_[1771] * vX_[474];
+ vX_[29] = 0 - vX_[8000];
+ vX_[2903] = (vX_[7990] * vX_[487] + vX_[2880] * vX_[485]) * -1;
+ vX_[8001] = vX_[2024] * vX_[473] + vX_[1140] * vX_[487] + vX_[2903];
+ vX_[1650] = 0 - vX_[1612];
+ vX_[1620] = vX_[8001] + vX_[7996] * vX_[474] + vX_[1650] * vX_[393];
+ vX_[1615] = vX_[7985] + vX_[2798];
+ vX_[1546] = vX_[7980] + vX_[2838];
+ vX_[1541] = vX_[1615] * vX_[485] + vX_[1546] * vX_[487];
+ vX_[1459] = vX_[7975] + vX_[7995];
+ vX_[1454] = vX_[7984] + vX_[2834];
+ vX_[1300] = vX_[1459] * vX_[487] + vX_[1454] * vX_[485];
+ vX_[1340] = vX_[1541] * vX_[473] + vX_[1300] * vX_[487];
+ vX_[7841] = vX_[8004] * vX_[1426] + vX_[7821] * vX_[620] + vX_[1228] * vX_[723] + vX_[1934] * vX_[590] +
+ vX_[7991] * vX_[624] + vX_[7841] * vX_[637];
+ vX_[7991] = vX_[7969] + vX_[7841];
+ vX_[1966] = vX_[8003] * vX_[1426] + vX_[7430] * vX_[620] + vX_[26] * vX_[723] + vX_[1995] * vX_[590] +
+ vX_[2886] * vX_[624] + vX_[1966] * vX_[637];
+ vX_[2886] = vX_[1856] + vX_[1966];
+ vX_[1995] = 0 - vX_[2886];
+ vX_[26] = vX_[7991] * vX_[487] + vX_[1995] * vX_[485];
+ vX_[7430] = 0 - vX_[26];
+ vX_[8003] = vX_[1340] + vX_[7430] * vX_[393] + vX_[1766] * vX_[489];
+ vX_[1934] = 0 - vX_[8003];
+ vX_[1228] = vX_[1615] * vX_[487] + vX_[1546] * vX_[473];
+ vX_[7821] = vX_[1459] * vX_[473] + vX_[1454] * vX_[487];
+ vX_[8004] = vX_[1228] * vX_[487] + vX_[7821] * vX_[485];
+ vX_[2886] = 0 - vX_[2886];
+ vX_[1308] = vX_[7991] * vX_[473] + vX_[2886] * vX_[487];
+ vX_[1303] = 0 - vX_[1308];
+ vX_[1236] = vX_[8004] + vX_[1303] * vX_[474] + vX_[1612] * vX_[489];
+ vX_[1231] = vX_[1228] * vX_[473] + vX_[7821] * vX_[487];
+ vX_[1148] = vX_[1231] + vX_[26] * vX_[474];
+ vX_[1143] = vX_[1541] * vX_[487] + vX_[1300] * vX_[485];
+ vX_[991] = vX_[1143] + vX_[1308] * vX_[393] + vX_[1851] * vX_[489];
+ vX_[1029] = 0 - vX_[1148] + vX_[991];
+ vX_[999] = 0 - vX_[7996];
+ vX_[994] = 0 - vX_[1771];
+ vX_[1766] = vX_[1851] * vX_[611] + vX_[1766] * vX_[556] + vX_[1612] * vX_[452] + vX_[29] * vX_[490] +
+ vX_[1620] * vX_[501] + vX_[1934] * vX_[481] + vX_[1236] * vX_[475] + vX_[1029] * vX_[472] +
+ vX_[999] * vX_[608] + vX_[7996] * vX_[605] + vX_[994] * vX_[555] + vX_[1612] * vX_[559];
+ vX_[1851] = 0 - vX_[7836];
+ vX_[919] = vX_[8239] * 0.881 + (0 - vX_[8256]) * 0.1104774 + vX_[8258] * 0.0004405;
+ vX_[914] = vX_[8250] * 0.00185880198235362 + vX_[8252] * 0.880992588508842 + vX_[8256] * -8.81e-05;
+ vX_[834] = vX_[1851] * vX_[1305] + vX_[919] * vX_[46] + vX_[914] * x_in[26];
+ vX_[2448] = 0 - vX_[7868] + vX_[2465] - vX_[2448];
+ vX_[2465] = 0 - vX_[919];
+ vX_[7868] = vX_[8250] * 0.414812462825713 + vX_[8252] * 0.00185880198235362 + vX_[8258] * 8.81e-05;
+ vX_[829] = vX_[2448] * vX_[1305] + vX_[2465] * vX_[42] - vX_[7868] * x_in[26];
+ vX_[1854] = 0 - vX_[2482];
+ vX_[1865] = vX_[8237] * 3.146 + (0 - vX_[8238]) * 0.47422804 + vX_[8248] * -0.0825825;
+ vX_[1864] = vX_[8241] * vX_[449] + vX_[8242] * vX_[448] + vX_[8238] * vX_[425] + vX_[8248] * vX_[420];
+ vX_[1863] =
+ vX_[834] * vX_[395] + vX_[829] * vX_[397] + vX_[1854] * vX_[1233] + vX_[1865] * vX_[15] + vX_[1864] * x_in[25];
+ vX_[2752] = 0 - vX_[2847] + vX_[2752];
+ vX_[2847] = 0 - vX_[1865];
+ vX_[1859] = vX_[8241] * vX_[447] + vX_[8242] * vX_[449] + vX_[8238] * vX_[431] + vX_[8248] * vX_[430];
+ vX_[1871] =
+ vX_[834] * vX_[1690] + vX_[829] * vX_[395] + vX_[2752] * vX_[1233] + vX_[2847] * vX_[43] - vX_[1859] * x_in[25];
+ vX_[1862] = vX_[8196] * -3.44;
+ vX_[1885] = vX_[8220] * 0.1466472;
+ vX_[1884] = vX_[8235] * 0.5824264;
+ vX_[1847] = 0 - vX_[1862] + vX_[1885] - vX_[1884];
+ vX_[1769] = 0 - vX_[2882];
+ vX_[9131] = vX_[8224] * vX_[501] + vX_[8196] * vX_[475] + vX_[8230] * vX_[472] + vX_[8233] * vX_[605] +
+ vX_[8235] * vX_[553];
+ vX_[1813] = vX_[1863] * vX_[1686] + vX_[1871] * vX_[421] + vX_[1847] * vX_[10] + vX_[1769] * vX_[1882] -
+ vX_[9131] * x_in[24];
+ vX_[1811] = vX_[7578] + vX_[1848] + vX_[7999] - vX_[1771] - vX_[1612];
+ vX_[1780] = 0 - vX_[1811];
+ vX_[1043] = vX_[1043] + vX_[1780] * vX_[474];
+ vX_[2903] = vX_[2903] + vX_[1811] * vX_[393];
+ vX_[1779] = 0 - vX_[1620];
+ vX_[1775] = 0 - vX_[1236];
+ vX_[1926] = vX_[8002] * vX_[1426] + vX_[7579] * vX_[620] + vX_[28] * vX_[723] + vX_[911] * vX_[590] +
+ vX_[2897] * vX_[624] + vX_[1926] * vX_[637];
+ vX_[2897] = vX_[1929] + vX_[1926] + vX_[1546] + vX_[1454] - vX_[1231] - vX_[1143];
+ vX_[991] = vX_[2897] - vX_[991];
+ vX_[911] = 0 - vX_[26];
+ vX_[28] = 0 - vX_[7996];
+ vX_[7579] = 0 - vX_[1612];
+ vX_[8002] = vX_[2825] - vX_[7994];
+ vX_[1554] = vX_[7571] - vX_[7994];
+ vX_[1571] = vX_[7988] + vX_[2840];
+ vX_[1810] = vX_[7986] + vX_[5374];
+ vX_[1828] = vX_[7983] + vX_[5384];
+ vX_[1774] = 0 - vX_[1828];
+ vX_[1501] = vX_[8002] * vX_[487] + vX_[1571] * vX_[485];
+ vX_[1468] = vX_[1554] * vX_[487];
+ vX_[1467] = vX_[8002] * vX_[473] + vX_[1571] * vX_[487];
+ vX_[1463] = vX_[1554] * vX_[485];
+ vX_[1244] = vX_[1467] + vX_[1463];
+ vX_[1259] = vX_[8239] * 0.0004405 + vX_[8250] * -8.81e-05 + vX_[8258] * -0.000227999999999999;
+ vX_[1500] = vX_[8239] * 0.1104774 + vX_[8252] * -8.81e-05 + (0 - vX_[8256]) * 0.025713;
+ vX_[1518] = (0 - vX_[8250]) * 0.0004405;
+ vX_[1462] = (0 - vX_[8252]) * 0.1104774;
+ vX_[1191] = vX_[1518] + vX_[1462];
+ vX_[1191] = vX_[1851] * vX_[1931] + vX_[2448] * vX_[1617] + vX_[1259] * vX_[42] + vX_[1500] * vX_[46] +
+ vX_[1191] * vX_[1305] + vX_[1191] * vX_[1305];
+ vX_[2448] = vX_[8237] * -0.0825825 + (0 - vX_[8243]) * 0.000102 + vX_[8238] * 0.007418 + vX_[8248] * 0.002735;
+ vX_[1851] = vX_[8237] * 0.47422804 + vX_[8243] * 2.1e-05 + (0 - vX_[8238]) * 0.084376 + (0 - vX_[8248]) * 0.007418;
+ vX_[1157] = (0 - vX_[8241]) * -0.0825825;
+ vX_[1156] = (0 - vX_[8242]) * 0.47422804;
+ vX_[1152] = vX_[8238] * 0.000102;
+ vX_[927] = (0 - vX_[8248]) * 2.1e-05;
+ vX_[948] = vX_[1157] + vX_[1156] + vX_[1152] + vX_[927];
+ vX_[948] = vX_[1191] + vX_[834] * vX_[1698] + vX_[829] * vX_[400] + vX_[1854] * vX_[1145] + vX_[2752] * vX_[916] +
+ vX_[2448] * vX_[43] + vX_[1851] * vX_[15] + vX_[948] * vX_[1233] + vX_[948] * vX_[1233];
+ vX_[2752] = vX_[8196] * 0.5824264 + (0 - vX_[8220]) * -0.022734 + vX_[8233] * -3.6e-05 + vX_[8235] * -0.133138;
+ vX_[1854] = vX_[8196] * 0.1466472 + vX_[8220] * 0.009466 + (0 - vX_[8233]) * -5.1e-05 + vX_[8235] * -0.022734;
+ vX_[1190] = (0 - vX_[8224]) * 0.5824264;
+ vX_[1207] = (0 - vX_[8230]) * 0.1466472;
+ vX_[1151] = (0 - vX_[8220]) * -3.6e-05;
+ vX_[874] = (0 - vX_[8235]) * -5.1e-05;
+ vX_[843] = vX_[1190] + vX_[1207] + vX_[1151] - vX_[874];
+ vX_[842] = vX_[8224] * vX_[506] + vX_[8196] * vX_[553] + vX_[8230] * vX_[608] + vX_[8233] * vX_[607] +
+ vX_[8235] * vX_[469];
+ vX_[843] = vX_[1863] * vX_[1687] + vX_[1871] * vX_[439] + vX_[948] * -1 + vX_[2872] * vX_[5] +
+ vX_[1769] * vX_[1543] + vX_[2752] * vX_[10] + vX_[1854] * vX_[2916] + vX_[843] * vX_[1882] +
+ vX_[843] * vX_[1882] + vX_[842] * x_in[24];
+ vX_[8254] = vX_[8250] * 0.1104774 + vX_[8252] * 0.0004405 + vX_[8254] * 0.025941;
+ vX_[1769] = (0 - vX_[8239]) * -8.81e-05;
+ vX_[1462] = vX_[1769] + vX_[1462];
+ vX_[8258] = vX_[8239] * 0.0004405 + vX_[8250] * 8.81e-05 + vX_[8258] * 0.000468;
+ vX_[1462] = vX_[7836] * vX_[4114] + vX_[2465] * vX_[1617] + vX_[1259] * vX_[1305] + vX_[8254] * vX_[46] +
+ vX_[1462] * vX_[42] + vX_[1462] * vX_[42] + vX_[8258] * x_in[26];
+ vX_[1769] = vX_[1769] + vX_[1518];
+ vX_[8256] = vX_[8239] * -0.1104774 + vX_[8252] * -8.81e-05 + vX_[8256] * 0.026409;
+ vX_[1769] = vX_[7583] * vX_[4114] + vX_[919] * vX_[1931] + vX_[1500] * vX_[1305] + vX_[8254] * vX_[42] +
+ vX_[1769] * vX_[46] + vX_[1769] * vX_[46] - vX_[8256] * x_in[26];
+ vX_[8254] = vX_[8241] * 0.47422804 + vX_[8242] * -0.0825825 + vX_[8243] * 0.081641 + (0 - vX_[8238]) * 2.1e-05 +
+ vX_[8248] * 0.000102;
+ vX_[1500] = (0 - vX_[8243]) * 0.007418;
+ vX_[927] = vX_[1156] + vX_[1500] - vX_[927];
+ vX_[1156] = vX_[8237] * vX_[415] + vX_[8241] * vX_[430] + vX_[8242] * vX_[420] + vX_[8238] * vX_[464] +
+ vX_[8248] * vX_[460];
+ vX_[927] = vX_[2478] * -0.35 + vX_[1462] * vX_[395] + vX_[1769] * vX_[397] + vX_[2482] * vX_[4117] +
+ vX_[2847] * vX_[916] + vX_[2448] * vX_[1233] + vX_[8254] * vX_[15] + vX_[927] * vX_[43] +
+ vX_[927] * vX_[43] + vX_[1156] * x_in[25];
+ vX_[1500] = vX_[1157] - vX_[1500] - vX_[1152];
+ vX_[1152] = vX_[8237] * vX_[427] + vX_[8241] * vX_[431] + vX_[8242] * vX_[425] + vX_[8238] * vX_[458] +
+ vX_[8248] * vX_[464];
+ vX_[1500] = vX_[1462] * vX_[398] + vX_[1769] * vX_[395] + vX_[5378] * vX_[4117] + vX_[1865] * vX_[1145] +
+ vX_[1851] * vX_[1233] + vX_[8254] * vX_[43] + vX_[1500] * vX_[15] + vX_[1500] * vX_[15] -
+ vX_[1152] * x_in[25];
+ vX_[1884] = vX_[1862] - vX_[1885] + vX_[1884];
+ vX_[1885] = vX_[8224] * 0.1466472 + vX_[8230] * 0.5824264 + vX_[8220] * -5.1e-05 + (0 - vX_[8233]) * -0.123672 +
+ (0 - vX_[8235]) * -3.6e-05;
+ vX_[1862] = vX_[8233] * -0.022734;
+ vX_[1151] = vX_[1190] - vX_[1151] - vX_[1862];
+ vX_[1190] = vX_[8224] * vX_[443] + vX_[8196] * vX_[605] + vX_[8230] * vX_[554] + vX_[8233] * vX_[552] +
+ vX_[8235] * vX_[607];
+ vX_[1151] = vX_[927] * vX_[433] + vX_[1500] * vX_[421] + vX_[1884] * vX_[5] + vX_[2882] * vX_[4129] +
+ vX_[1885] * vX_[10] + vX_[1854] * vX_[1882] + vX_[1151] * vX_[2916] + vX_[1151] * vX_[2916] -
+ vX_[1190] * x_in[24];
+ vX_[8285] = vX_[8285] * vX_[2082];
+ vX_[1854] = vX_[8285] * vX_[395];
+ vX_[8286] = vX_[8286] * vX_[2082];
+ vX_[2882] = vX_[8286] * vX_[1702];
+ vX_[8287] = vX_[8287] * vX_[2082];
+ vX_[8254] = 0 - vX_[8287];
+ vX_[8257] = vX_[8257] * vX_[2077];
+ vX_[1851] = vX_[8257] * vX_[395];
+ vX_[1865] = vX_[8257] * vX_[1702];
+ vX_[5378] = 0 - vX_[1865];
+ vX_[8273] = vX_[8273] * vX_[2089];
+ vX_[1157] = vX_[8273] * vX_[1702];
+ vX_[8261] = vX_[8261] * vX_[1911];
+ vX_[2448] = vX_[8261] * vX_[395];
+ vX_[8259] = vX_[8259] * vX_[2077];
+ vX_[2847] = vX_[8259] * vX_[395];
+ vX_[2482] = vX_[8259] * vX_[1702];
+ vX_[2478] = vX_[8273] * vX_[395];
+ vX_[8274] = vX_[8274] * vX_[2089];
+ vX_[919] = 0 - vX_[8274];
+ vX_[7583] = vX_[919] * vX_[395];
+ vX_[8252] = vX_[8274] * vX_[1702];
+ vX_[8239] = vX_[8285] + vX_[8261];
+ vX_[8262] = vX_[8262] * vX_[1911];
+ vX_[1518] = 0 - vX_[8286] - vX_[8262];
+ vX_[1259] = vX_[8239] * vX_[1702] + vX_[1518] * vX_[395];
+ vX_[2465] = vX_[8262] * vX_[1702];
+ vX_[8279] = vX_[8279] * vX_[2089] + vX_[8267] * vX_[2077];
+ vX_[8267] = 0 - vX_[8279];
+ vX_[7836] = 0 - vX_[8279];
+ vX_[8250] = vX_[7836] * vX_[395];
+ vX_[838] = vX_[8279] * vX_[1702];
+ vX_[1829] = vX_[8280] * vX_[1830] + vX_[8362] * vX_[1782] + vX_[8365] * vX_[1814];
+ vX_[9124] = 0 - vX_[1829];
+ vX_[873] = vX_[8280] * vX_[1920] + vX_[8362] * vX_[1815] + vX_[8365] * vX_[1776];
+ vX_[891] = vX_[9124] * x_in[18] + vX_[873] * x_in[19];
+ vX_[837] = 0 - vX_[891];
+ vX_[9133] = 0 - vX_[891];
+ vX_[9134] = vX_[9133] * vX_[395];
+ vX_[9135] = vX_[891] * vX_[1702];
+ vX_[8280] = vX_[8280] * vX_[1812] + vX_[8362] * vX_[1831] + vX_[8365] * vX_[1921];
+ jac[933] = vX_[1859] * vX_[1708] + vX_[1864] * vX_[1145] + vX_[1152] * vX_[2090] + vX_[1156] * vX_[43] + vX_[948] +
+ vX_[8280] * vX_[1835] + vX_[1829] * vX_[1788] + vX_[873] * vX_[1821];
+ jac[969] = vX_[7868] * vX_[1739] + vX_[914] * vX_[1931] + vX_[8256] * vX_[6] + vX_[8258] * vX_[42] + vX_[1191] +
+ vX_[8280] * vX_[1845] + vX_[1829] * vX_[1799] + vX_[873] * vX_[1818];
+ vX_[8256] = vX_[8280] * x_in[26];
+ vX_[8258] = vX_[8256] * vX_[395];
+ vX_[1191] = vX_[8256] * vX_[1702];
+ vX_[7868] = vX_[8280] * x_in[25];
+ vX_[914] = vX_[1829] * x_in[24];
+ vX_[1152] = 0 - vX_[914];
+ vX_[1156] = vX_[7868] * vX_[395];
+ vX_[948] = 0 - vX_[914];
+ vX_[1859] = vX_[948] * vX_[395];
+ vX_[1864] = vX_[7868] * vX_[1702];
+ vX_[8365] = vX_[914] * vX_[1702];
+ vX_[8362] = vX_[8291] * vX_[1876];
+ vX_[9136] = 0 - vX_[8362];
+ vX_[9137] = 0 - vX_[8362];
+ vX_[9138] = vX_[9137] * vX_[395];
+ vX_[9139] = vX_[8362] * vX_[1702];
+ vX_[9140] = 0 - vX_[1043];
+ vX_[9141] = 0 - vX_[2903];
+ vX_[2897] = 0 - vX_[2897] + vX_[1148];
+ vX_[1148] = 0 - vX_[1308];
+ vX_[1828] = 0 - vX_[1828];
+ vX_[8251] = vX_[8251] * vX_[2077];
+ vX_[9142] = vX_[8251] * vX_[1702];
+ vX_[8253] = vX_[8253] * vX_[2077];
+ vX_[9143] = 0 - vX_[8253];
+ vX_[9144] = vX_[9143] * vX_[395];
+ vX_[8255] = vX_[8255] * vX_[2077];
+ vX_[9145] = 0 - vX_[8255];
+ vX_[8272] = vX_[8272] * vX_[2089];
+ vX_[8288] = vX_[8288] * vX_[2082];
+ vX_[9146] = vX_[8288] * vX_[395];
+ vX_[9147] = vX_[8288] * vX_[1702];
+ vX_[8277] = vX_[8277] * vX_[2079];
+ vX_[9148] = vX_[8277] * vX_[1702];
+ vX_[8289] = vX_[8289] * vX_[2082];
+ vX_[9149] = vX_[8289] * vX_[395];
+ vX_[9150] = 0 - vX_[9149];
+ vX_[9151] = vX_[8289] * vX_[1702];
+ vX_[8278] = vX_[8278] * vX_[2079];
+ vX_[9152] = 0 - vX_[8278];
+ vX_[9153] = vX_[9152] * vX_[395];
+ vX_[9154] = vX_[8251] + vX_[8277];
+ vX_[8278] = vX_[8253] + vX_[8278];
+ vX_[8253] = vX_[9154] * vX_[395] + vX_[8278] * vX_[1702];
+ vX_[8275] = vX_[8275] * vX_[2089] + vX_[8266] * vX_[2082];
+ vX_[8266] = 0 - vX_[8275];
+ vX_[9155] = 0 - vX_[8275];
+ vX_[9156] = vX_[9155] * vX_[395];
+ vX_[9157] = vX_[8275] * vX_[1702];
+ vX_[9158] = 0 - vX_[873];
+ vX_[9159] = vX_[8280] * x_in[18] + vX_[9158] * x_in[20];
+ vX_[9160] = 0 - vX_[9159];
+ vX_[9161] = vX_[9159] * vX_[1702];
+ vX_[9162] = vX_[8280] * x_in[24];
+ vX_[9163] = vX_[9162] * vX_[1702];
+ vX_[9164] = vX_[1829] * x_in[26];
+ vX_[9165] = vX_[9164] * vX_[395];
+ vX_[9166] = vX_[9164] * vX_[1702];
+ vX_[9167] = vX_[1829] * x_in[25];
+ vX_[9168] = vX_[9162] * vX_[395];
+ vX_[9169] = vX_[9167] * vX_[395];
+ vX_[9170] = vX_[9167] * vX_[1702];
+ vX_[9171] = vX_[8291] * vX_[1866];
+ vX_[9172] = 0 - vX_[9171];
+ vX_[9173] = 0 - vX_[9159];
+ vX_[9174] = 0 - vX_[9171];
+ vX_[9175] = vX_[9173] * vX_[395] + vX_[9174] * vX_[395];
+ vX_[9176] = vX_[9171] * vX_[1702];
+ jac[249] =
+ 0 -
+ (0 - (vX_[7987] * vX_[4135] + vX_[2821] * x_in[22]) +
+ (vX_[7979] * vX_[4135] + vX_[1766] * vX_[487] + vX_[2821] * x_in[20]) * -0.3735 -
+ (vX_[7989] * vX_[3739] + vX_[1813] * x_in[23]) + (vX_[7974] * vX_[3739] + vX_[1813] * x_in[19]) * 0.3735 +
+ (vX_[8005] * vX_[3739] +
+ (vX_[7430] * vX_[556] + vX_[1308] * vX_[611] + vX_[1811] * vX_[500] + vX_[1650] * vX_[502] +
+ vX_[1043] * vX_[472] + vX_[2903] * vX_[481] + vX_[1779] * vX_[484] + vX_[1775] * vX_[501] +
+ vX_[991] * vX_[490] + vX_[911] * vX_[554] + vX_[1308] * vX_[608] + vX_[28] * vX_[443] +
+ vX_[7579] * vX_[561]) *
+ -1 +
+ vX_[1813] * x_in[18]) *
+ -0.207 -
+ (vX_[7979] * vX_[1456] + vX_[7974] * vX_[1893] + vX_[8002] * vX_[719] + vX_[1554] * vX_[717] +
+ vX_[1571] * vX_[715] + vX_[1810] * vX_[688] + vX_[1774] * vX_[490] + vX_[1501] * vX_[696] +
+ vX_[1468] * vX_[695] + vX_[1244] * vX_[472] + vX_[1615] * vX_[680] + vX_[1459] * vX_[658] +
+ vX_[7990] * vX_[508] + vX_[2880] * vX_[498] + vX_[1546] * vX_[681] + vX_[1454] * vX_[661] +
+ vX_[1228] * vX_[659] + vX_[1541] * vX_[610] + vX_[7821] * vX_[660] + vX_[1300] * vX_[657] +
+ vX_[2024] * vX_[497] + vX_[1140] * vX_[507] + vX_[1763] * vX_[617] + vX_[2088] * vX_[615] +
+ vX_[7857] * vX_[613] + vX_[7991] * vX_[634] + vX_[2886] * vX_[635] + vX_[7998] * vX_[562] +
+ vX_[7865] * vX_[558] + vX_[2899] * vX_[612] + vX_[1766] * vX_[488] + vX_[843] * x_in[19] +
+ vX_[1151] * x_in[20]) +
+ vX_[8240] * vX_[2077] + vX_[8276] * vX_[2079] + vX_[1854] * vX_[394] + vX_[2882] * vX_[394] +
+ vX_[8254] * vX_[394] * 0.35 + vX_[8287] * 0.3735 + vX_[1851] * 0.35 + vX_[1851] * vX_[421] * 0.08 +
+ vX_[1851] * vX_[394] * -0.3735 + vX_[5378] * vX_[421] * 0.3735 + vX_[1865] * vX_[394] * -0.08 +
+ vX_[1157] * vX_[421] * 0.207 + vX_[2448] * vX_[394] + vX_[2847] * vX_[421] * 0.3735 +
+ vX_[2847] * vX_[394] * 0.08 + vX_[2482] * 0.35 + vX_[2482] * vX_[394] * -0.3735 +
+ (vX_[2478] * vX_[394] + vX_[7583] * vX_[421]) * 0.207 + vX_[8252] * vX_[394] * 0.207 +
+ vX_[1259] * vX_[421] + vX_[2465] * vX_[394] + (vX_[2482] * vX_[421] - vX_[8279]) * 0.08 +
+ vX_[8267] * vX_[421] * 0.35 + vX_[8250] * vX_[421] * 0.33 + vX_[838] * vX_[394] * 0.33 +
+ (0 - vX_[891]) * 0.08 + vX_[837] * vX_[421] * 0.35 + vX_[9134] * vX_[421] * 0.33 +
+ vX_[9135] * vX_[394] * 0.33 + vX_[8258] * vX_[394] * 0.33 + vX_[1191] * vX_[421] * 0.33 +
+ vX_[7868] * vX_[394] * 0.35 + (0 - vX_[914]) * 0.08 + vX_[1152] * vX_[421] * 0.35 +
+ (vX_[1156] * vX_[394] + vX_[1859] * vX_[421]) * 0.33 +
+ (vX_[1864] * vX_[421] + vX_[8365] * vX_[394]) * 0.33 + (0 - vX_[8362]) * 0.08 +
+ vX_[9136] * vX_[421] * 0.35 + vX_[9138] * vX_[421] * 0.33 + vX_[9139] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[7989] * vX_[4135] + vX_[7979] * vX_[1893] + vX_[8002] * vX_[715] + vX_[1810] * vX_[490] +
+ vX_[1467] * vX_[695] + vX_[1501] * vX_[472] + vX_[1459] * vX_[661] + vX_[7990] * vX_[498] +
+ vX_[1546] * vX_[680] + vX_[1228] * vX_[660] + vX_[1541] * vX_[657] + vX_[2024] * vX_[507] +
+ vX_[1763] * vX_[613] + vX_[7991] * vX_[635] + vX_[7997] * vX_[558] + vX_[7998] * vX_[612] +
+ (vX_[26] * vX_[609] + vX_[1303] * vX_[452] + vX_[7996] * vX_[502] + vX_[1780] * vX_[476] +
+ vX_[1771] * vX_[491] + vX_[9140] * vX_[475] + vX_[8000] * vX_[484] + vX_[9141] * vX_[472] +
+ vX_[8003] * vX_[490] + vX_[2897] * vX_[501] + vX_[26] * vX_[605] + vX_[1148] * vX_[553] +
+ vX_[7996] * vX_[506] + vX_[1771] * vX_[550]) *
+ 0.207 +
+ vX_[2821] * x_in[23] + vX_[843] * x_in[20] +
+ (vX_[7974] * vX_[4135] + vX_[1766] * vX_[485] + vX_[2821] * x_in[19]) * -0.3735 +
+ (vX_[8005] * vX_[4135] + vX_[2821] * x_in[18]) * 0.207 - (vX_[7987] * vX_[3739] + vX_[1813] * x_in[22]) +
+ (vX_[7979] * vX_[3739] + vX_[1813] * x_in[20]) * -0.3735 -
+ (vX_[7974] * vX_[1456] + vX_[1554] * vX_[716] + vX_[1571] * vX_[719] + vX_[1828] * vX_[688] +
+ vX_[1468] * vX_[472] + vX_[1463] * vX_[696] + vX_[1615] * vX_[681] + vX_[2880] * vX_[508] +
+ vX_[1454] * vX_[658] + vX_[7821] * vX_[659] + vX_[1300] * vX_[610] + vX_[1140] * vX_[497] +
+ vX_[2088] * vX_[614] + vX_[7857] * vX_[617] + vX_[1995] * vX_[634] + vX_[7865] * vX_[612] +
+ vX_[22] * vX_[562] + vX_[1766] * vX_[486] + vX_[1151] * x_in[19]) -
+ vX_[8284] * vX_[2082] + vX_[9142] * vX_[421] + vX_[9144] * vX_[421] + vX_[9145] * vX_[394] * 0.35 +
+ vX_[8255] * 0.3735 + (0 - vX_[8272]) * 0.207 - vX_[8260] * vX_[1911] + (0 - vX_[9146]) * 0.35 +
+ (0 - vX_[9146] * vX_[421]) * 0.08 + vX_[9146] * vX_[394] * 0.3735 + vX_[9147] * vX_[421] * 0.3735 +
+ vX_[9147] * vX_[394] * 0.08 + vX_[9148] * vX_[421] + vX_[9150] * vX_[421] * 0.3735 +
+ (0 - vX_[9149] * vX_[394]) * 0.08 + (0 - vX_[9151]) * 0.35 + (0 - vX_[9151] * vX_[421]) * 0.08 +
+ vX_[9151] * vX_[394] * 0.3735 + vX_[9153] * vX_[421] + vX_[8253] * vX_[394] + (0 - vX_[8275]) * 0.08 +
+ vX_[8266] * vX_[421] * 0.35 + vX_[9156] * vX_[421] * 0.33 + vX_[9157] * vX_[394] * 0.33 +
+ (0 - vX_[9159]) * 0.08 + vX_[9160] * vX_[421] * 0.35 + vX_[9161] * vX_[394] * 0.33 + vX_[9162] * 0.08 +
+ vX_[9162] * vX_[421] * 0.35 + vX_[9163] * vX_[394] * -0.33 + vX_[9165] * vX_[394] * 0.33 +
+ vX_[9166] * vX_[421] * 0.33 + vX_[9167] * vX_[394] * 0.35 +
+ (vX_[9168] * vX_[421] + vX_[9169] * vX_[394]) * 0.33 + vX_[9170] * vX_[421] * 0.33 +
+ (0 - vX_[9171]) * 0.08 + vX_[9172] * vX_[421] * 0.35 + vX_[9175] * vX_[421] * 0.33 +
+ vX_[9176] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[8255] = vX_[8681] * 0.881 + (0 - vX_[8683]) * 0.0004405 + vX_[8685] * -8.81e-05;
+ vX_[8287] = vX_[8679] * -0.881;
+ vX_[1571] = vX_[8683] * 0.1104774;
+ vX_[1554] = vX_[8687] * -8.81e-05;
+ vX_[8002] = vX_[8287] - vX_[1571] + vX_[1554];
+ vX_[1780] = vX_[8255] * vX_[42] + vX_[8002] * vX_[46];
+ vX_[1811] = vX_[8671] * 3.146 + (0 - vX_[8672]) * -0.0825825;
+ vX_[1766] = vX_[8670] * -3.146;
+ vX_[1303] = vX_[8672] * 0.47422804;
+ vX_[2886] = vX_[1766] - vX_[1303];
+ vX_[7821] = vX_[1780] + vX_[1811] * vX_[43] + vX_[2886] * vX_[15];
+ vX_[1228] = vX_[8659] * 3.44 + vX_[8662] * 0.5824264;
+ vX_[7430] = 0 - vX_[1228];
+ vX_[1995] = vX_[8653] * 3.44 + (0 - vX_[8662]) * 0.1466472;
+ vX_[7991] = vX_[8653] * vX_[490] + vX_[8625] * vX_[472] + vX_[8659] * vX_[481] + vX_[8662] * vX_[554] +
+ vX_[8664] * vX_[608];
+ vX_[1300] = vX_[7821] * -1 + vX_[7430] * vX_[10] + vX_[1995] * vX_[2916] + vX_[7991] * x_in[24];
+ vX_[1454] = 0 - vX_[8418] * vX_[4116];
+ vX_[1459] = 0 - vX_[1454];
+ vX_[1541] = 0 - vX_[1454];
+ vX_[8417] = (vX_[8417] * vX_[4116] + vX_[1541] * vX_[743]) * 1 / vX_[718];
+ vX_[1546] = 0 - vX_[8417];
+ vX_[1615] = 0 - vX_[1454];
+ vX_[1650] = 0 - vX_[8417];
+ vX_[8412] = (vX_[8412] * vX_[4116] + vX_[1615] * vX_[689] + vX_[1650] * vX_[736]) * 1 / vX_[721];
+ vX_[1140] = 0 - vX_[8412];
+ vX_[8409] =
+ (vX_[8409] * vX_[4116] + vX_[1459] * vX_[682] + vX_[1546] * vX_[730] + vX_[1140] * vX_[509]) * 1 / vX_[618];
+ vX_[1541] = vX_[8419] * vX_[1853] + vX_[1541] * vX_[712];
+ vX_[8419] = 0 - vX_[1541];
+ vX_[7990] = 0 - vX_[8416] * vX_[1853] - vX_[8417] * vX_[712];
+ vX_[2024] = 0 - vX_[7990];
+ vX_[2880] = 0 - vX_[1541];
+ vX_[2899] = 0 - vX_[7990];
+ vX_[8415] = (vX_[8415] * vX_[4108] + vX_[2880] * vX_[689] + vX_[2899] * vX_[736]) * 1 / vX_[721];
+ vX_[22] = 0 - vX_[8415];
+ vX_[8414] =
+ (vX_[8414] * vX_[4108] + vX_[8419] * vX_[682] + vX_[2024] * vX_[730] + vX_[22] * vX_[509]) * 1 / vX_[618];
+ vX_[2880] = vX_[8422] * vX_[41] + vX_[1615] * vX_[722] + vX_[2880] * vX_[737];
+ vX_[1615] = 0 - vX_[2880];
+ vX_[2899] = vX_[8423] * vX_[41] + vX_[1650] * vX_[722] + vX_[2899] * vX_[737];
+ vX_[1650] = 0 - vX_[2899];
+ vX_[8423] = 0 - vX_[8406] * vX_[41] - vX_[8412] * vX_[722] - vX_[8415] * vX_[737];
+ vX_[8422] = 0 - vX_[8423];
+ vX_[8411] =
+ (vX_[8411] * vX_[1647] + vX_[1615] * vX_[682] + vX_[1650] * vX_[730] + vX_[8422] * vX_[509]) * 1 / vX_[618];
+ vX_[7997] = 0 - vX_[8408] * vX_[801] - vX_[8409] * vX_[604] - vX_[8414] * vX_[731] - vX_[8411] * vX_[664];
+ vX_[7865] = 0 - vX_[1454];
+ vX_[2088] = 0 - vX_[8417];
+ vX_[7998] = 0 - vX_[8412];
+ vX_[7857] = 0 - vX_[8409];
+ vX_[1763] = 0 - vX_[1454];
+ vX_[8284] = 0 - vX_[8417];
+ vX_[8276] = 0 - vX_[8412];
+ vX_[8260] = 0 - vX_[8409];
+ vX_[8404] = (vX_[8404] * vX_[4116] + vX_[1763] * vX_[662] + vX_[8284] * vX_[633] + vX_[8276] * vX_[691] +
+ vX_[8260] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[8240] = 0 - vX_[8404];
+ vX_[9177] = (vX_[8387] * vX_[4116] + vX_[7865] * vX_[510] + vX_[2088] * vX_[518] + vX_[7998] * vX_[690] +
+ vX_[7857] * vX_[628] + vX_[8240] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[9178] = 0 - vX_[1541];
+ vX_[9179] = 0 - vX_[7990];
+ vX_[9180] = 0 - vX_[8415];
+ vX_[9181] = 0 - vX_[8414];
+ vX_[9182] = 0 - vX_[1541];
+ vX_[9183] = 0 - vX_[7990];
+ vX_[9184] = 0 - vX_[8415];
+ vX_[9185] = 0 - vX_[8414];
+ vX_[8413] = (vX_[8413] * vX_[4108] + vX_[9182] * vX_[662] + vX_[9183] * vX_[633] + vX_[9184] * vX_[691] +
+ vX_[9185] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[9186] = 0 - vX_[8413];
+ vX_[9187] = (vX_[8387] * vX_[4108] + vX_[9178] * vX_[510] + vX_[9179] * vX_[518] + vX_[9180] * vX_[690] +
+ vX_[9181] * vX_[628] + vX_[9186] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[9188] = 0 - vX_[2880];
+ vX_[9189] = 0 - vX_[2899];
+ vX_[9190] = 0 - vX_[8423];
+ vX_[9191] = 0 - vX_[8411];
+ vX_[9192] = 0 - vX_[2880];
+ vX_[9193] = 0 - vX_[2899];
+ vX_[9194] = 0 - vX_[8423];
+ vX_[9195] = 0 - vX_[8411];
+ vX_[8410] = (vX_[8410] * vX_[1647] + vX_[9192] * vX_[662] + vX_[9193] * vX_[633] + vX_[9194] * vX_[691] +
+ vX_[9195] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[9196] = 0 - vX_[8410];
+ vX_[9197] = (vX_[8387] * vX_[1647] + vX_[9188] * vX_[510] + vX_[9189] * vX_[518] + vX_[9190] * vX_[690] +
+ vX_[9191] * vX_[628] + vX_[9196] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[1615] = vX_[8420] * vX_[801] + vX_[1459] * vX_[604] + vX_[8419] * vX_[731] + vX_[1615] * vX_[664];
+ vX_[8419] = 0 - vX_[1615];
+ vX_[1650] = vX_[8421] * vX_[801] + vX_[1546] * vX_[604] + vX_[2024] * vX_[731] + vX_[1650] * vX_[664];
+ vX_[2024] = 0 - vX_[1650];
+ vX_[8422] = vX_[8424] * vX_[801] + vX_[1140] * vX_[604] + vX_[22] * vX_[731] + vX_[8422] * vX_[664];
+ vX_[22] = 0 - vX_[8422];
+ vX_[1140] = 0 - vX_[7997];
+ vX_[8424] = 0 - vX_[1615];
+ vX_[1546] = 0 - vX_[1650];
+ vX_[8421] = 0 - vX_[8422];
+ vX_[1459] = 0 - vX_[7997];
+ vX_[8407] = (vX_[8407] * vX_[3708] + vX_[8424] * vX_[662] + vX_[1546] * vX_[633] + vX_[8421] * vX_[691] +
+ vX_[1459] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[8420] = 0 - vX_[8407];
+ vX_[9198] = (vX_[8387] * vX_[3708] + vX_[8419] * vX_[510] + vX_[2024] * vX_[518] + vX_[22] * vX_[690] +
+ vX_[1140] * vX_[628] + vX_[8420] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8424] = vX_[8425] * vX_[1083] + vX_[1763] * vX_[602] + vX_[9182] * vX_[725] + vX_[9192] * vX_[666] +
+ vX_[8424] * vX_[668];
+ vX_[9192] = 0 - vX_[8424];
+ vX_[1546] = vX_[8426] * vX_[1083] + vX_[8284] * vX_[602] + vX_[9183] * vX_[725] + vX_[9193] * vX_[666] +
+ vX_[1546] * vX_[668];
+ vX_[9193] = 0 - vX_[1546];
+ vX_[8421] = vX_[8427] * vX_[1083] + vX_[8276] * vX_[602] + vX_[9184] * vX_[725] + vX_[9194] * vX_[666] +
+ vX_[8421] * vX_[668];
+ vX_[9194] = 0 - vX_[8421];
+ vX_[1459] = vX_[8428] * vX_[1083] + vX_[8260] * vX_[602] + vX_[9185] * vX_[725] + vX_[9195] * vX_[666] +
+ vX_[1459] * vX_[668];
+ vX_[9195] = 0 - vX_[1459];
+ vX_[9185] = 0 - vX_[8403] * vX_[1083] - vX_[8404] * vX_[602] - vX_[8413] * vX_[725] - vX_[8410] * vX_[666] -
+ vX_[8407] * vX_[668];
+ vX_[8260] = 0 - vX_[9185];
+ vX_[8387] = (vX_[8387] * vX_[3689] + vX_[9192] * vX_[510] + vX_[9193] * vX_[518] + vX_[9194] * vX_[690] +
+ vX_[9195] * vX_[628] + vX_[8260] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8428] = 0 - vX_[8434] * vX_[1426] - vX_[9177] * vX_[620] - vX_[9187] * vX_[723] - vX_[9197] * vX_[590] -
+ vX_[9198] * vX_[624] - vX_[8387] * vX_[637];
+ vX_[9184] = vX_[7997] - vX_[8428];
+ vX_[8276] = vX_[8407] + vX_[1459];
+ vX_[8427] = vX_[9184] * vX_[487] + vX_[8276] * vX_[485];
+ vX_[9183] = vX_[9185] - vX_[8428];
+ vX_[8284] = vX_[9183] * vX_[487];
+ vX_[8426] = vX_[9184] * vX_[473] + vX_[8276] * vX_[487];
+ vX_[9182] = vX_[9183] * vX_[485];
+ vX_[1763] = vX_[8426] + vX_[9182];
+ vX_[8425] = vX_[8427] * vX_[473] + vX_[8284] * vX_[485] + vX_[1763] * vX_[487];
+ vX_[9199] = 0 - vX_[8425];
+ vX_[9200] = vX_[8428] + vX_[8426] * vX_[473] + vX_[8284] * vX_[487];
+ vX_[9201] = 0 - vX_[9200];
+ vX_[9202] = vX_[8428] + vX_[8427] * vX_[487] + vX_[9182] * vX_[485];
+ vX_[9193] = vX_[8430] * vX_[1426] + vX_[2088] * vX_[620] + vX_[9179] * vX_[723] + vX_[9189] * vX_[590] +
+ vX_[2024] * vX_[624] + vX_[9193] * vX_[637];
+ vX_[2024] = vX_[9187] + vX_[9193];
+ vX_[9189] = vX_[8410] + vX_[8421] - vX_[2024];
+ vX_[9192] = vX_[8429] * vX_[1426] + vX_[7865] * vX_[620] + vX_[9178] * vX_[723] + vX_[9188] * vX_[590] +
+ vX_[8419] * vX_[624] + vX_[9192] * vX_[637];
+ vX_[8419] = vX_[9177] + vX_[9192];
+ vX_[9188] = 0 - (vX_[8411] + vX_[8422]) + vX_[8419];
+ vX_[9178] = (vX_[8419] * vX_[473] + vX_[2024] * vX_[487]) * -1;
+ vX_[7865] = 0 - (vX_[9189] * vX_[487] + vX_[9188] * vX_[485]) + vX_[9178];
+ vX_[8429] = vX_[7865] + vX_[9200] * vX_[474];
+ vX_[9179] = 0 - vX_[8429];
+ vX_[2088] = (vX_[8419] * vX_[487] + vX_[2024] * vX_[485]) * -1;
+ vX_[8430] = vX_[9189] * vX_[473] + vX_[9188] * vX_[487] + vX_[2088];
+ vX_[9203] = 0 - vX_[9202];
+ vX_[9204] = vX_[8430] + vX_[8425] * vX_[474] + vX_[9203] * vX_[393];
+ vX_[9205] = vX_[8414] + vX_[1650];
+ vX_[9206] = vX_[8409] + vX_[1615];
+ vX_[9207] = vX_[9205] * vX_[485] + vX_[9206] * vX_[487];
+ vX_[9208] = vX_[8404] + vX_[8424];
+ vX_[9209] = vX_[8413] + vX_[1546];
+ vX_[9210] = vX_[9208] * vX_[487] + vX_[9209] * vX_[485];
+ vX_[9211] = vX_[9207] * vX_[473] + vX_[9210] * vX_[487];
+ vX_[8260] = vX_[8433] * vX_[1426] + vX_[8240] * vX_[620] + vX_[9186] * vX_[723] + vX_[9196] * vX_[590] +
+ vX_[8420] * vX_[624] + vX_[8260] * vX_[637];
+ vX_[8420] = vX_[8387] + vX_[8260];
+ vX_[9195] = vX_[8432] * vX_[1426] + vX_[7857] * vX_[620] + vX_[9181] * vX_[723] + vX_[9191] * vX_[590] +
+ vX_[1140] * vX_[624] + vX_[9195] * vX_[637];
+ vX_[1140] = vX_[9198] + vX_[9195];
+ vX_[9191] = 0 - vX_[1140];
+ vX_[9181] = vX_[8420] * vX_[487] + vX_[9191] * vX_[485];
+ vX_[7857] = 0 - vX_[9181];
+ vX_[8432] = vX_[9211] + vX_[7857] * vX_[393] + vX_[9201] * vX_[489];
+ vX_[9196] = 0 - vX_[8432];
+ vX_[9186] = vX_[9205] * vX_[487] + vX_[9206] * vX_[473];
+ vX_[8240] = vX_[9208] * vX_[473] + vX_[9209] * vX_[487];
+ vX_[8433] = vX_[9186] * vX_[487] + vX_[8240] * vX_[485];
+ vX_[1140] = 0 - vX_[1140];
+ vX_[9212] = vX_[8420] * vX_[473] + vX_[1140] * vX_[487];
+ vX_[9213] = 0 - vX_[9212];
+ vX_[9214] = vX_[8433] + vX_[9213] * vX_[474] + vX_[9202] * vX_[489];
+ vX_[9215] = vX_[9186] * vX_[473] + vX_[8240] * vX_[487];
+ vX_[9216] = vX_[9215] + vX_[9181] * vX_[474];
+ vX_[9217] = vX_[9207] * vX_[487] + vX_[9210] * vX_[485];
+ vX_[9218] = vX_[9217] + vX_[9212] * vX_[393] + vX_[9199] * vX_[489];
+ vX_[9219] = 0 - vX_[9216] + vX_[9218];
+ vX_[9220] = 0 - vX_[8425];
+ vX_[9221] = 0 - vX_[9200];
+ vX_[9201] = vX_[9199] * vX_[611] + vX_[9201] * vX_[556] + vX_[9202] * vX_[452] + vX_[9179] * vX_[490] +
+ vX_[9204] * vX_[501] + vX_[9196] * vX_[481] + vX_[9214] * vX_[475] + vX_[9219] * vX_[472] +
+ vX_[9220] * vX_[608] + vX_[8425] * vX_[605] + vX_[9221] * vX_[555] + vX_[9202] * vX_[559];
+ vX_[9199] = 0 - vX_[8255];
+ vX_[9222] = vX_[8668] * 0.881 + (0 - vX_[8685]) * 0.1104774 + vX_[8687] * 0.0004405;
+ vX_[9223] = vX_[8679] * 0.00185880198235362 + vX_[8681] * 0.880992588508842 + vX_[8685] * -8.81e-05;
+ vX_[9224] = vX_[9199] * vX_[1305] + vX_[9222] * vX_[46] + vX_[9223] * x_in[26];
+ vX_[1554] = 0 - vX_[8287] + vX_[1571] - vX_[1554];
+ vX_[1571] = 0 - vX_[9222];
+ vX_[8287] = vX_[8679] * 0.414812462825713 + vX_[8681] * 0.00185880198235362 + vX_[8687] * 8.81e-05;
+ vX_[9225] = vX_[1554] * vX_[1305] + vX_[1571] * vX_[42] - vX_[8287] * x_in[26];
+ vX_[9226] = 0 - vX_[1811];
+ vX_[9227] = vX_[8666] * 3.146 + (0 - vX_[8667]) * 0.47422804 + vX_[8677] * -0.0825825;
+ vX_[9228] = vX_[8670] * vX_[449] + vX_[8671] * vX_[448] + vX_[8667] * vX_[425] + vX_[8677] * vX_[420];
+ vX_[9229] = vX_[9224] * vX_[395] + vX_[9225] * vX_[397] + vX_[9226] * vX_[1233] + vX_[9227] * vX_[15] +
+ vX_[9228] * x_in[25];
+ vX_[1303] = 0 - vX_[1766] + vX_[1303];
+ vX_[1766] = 0 - vX_[9227];
+ vX_[9230] = vX_[8670] * vX_[447] + vX_[8671] * vX_[449] + vX_[8667] * vX_[431] + vX_[8677] * vX_[430];
+ vX_[9231] = vX_[9224] * vX_[1690] + vX_[9225] * vX_[395] + vX_[1303] * vX_[1233] + vX_[1766] * vX_[43] -
+ vX_[9230] * x_in[25];
+ vX_[9232] = vX_[8625] * -3.44;
+ vX_[9233] = vX_[8649] * 0.1466472;
+ vX_[9234] = vX_[8664] * 0.5824264;
+ vX_[9235] = 0 - vX_[9232] + vX_[9233] - vX_[9234];
+ vX_[9236] = 0 - vX_[1995];
+ vX_[9237] = vX_[8653] * vX_[501] + vX_[8625] * vX_[475] + vX_[8659] * vX_[472] + vX_[8662] * vX_[605] +
+ vX_[8664] * vX_[553];
+ vX_[9238] = vX_[9229] * vX_[1686] + vX_[9231] * vX_[421] + vX_[9235] * vX_[10] + vX_[9236] * vX_[1882] -
+ vX_[9237] * x_in[24];
+ vX_[9239] = vX_[7997] + vX_[9185] + vX_[8428] - vX_[9200] - vX_[9202];
+ vX_[9240] = 0 - vX_[9239];
+ vX_[9178] = vX_[9178] + vX_[9240] * vX_[474];
+ vX_[2088] = vX_[2088] + vX_[9239] * vX_[393];
+ vX_[9241] = 0 - vX_[9204];
+ vX_[9242] = 0 - vX_[9214];
+ vX_[9194] = vX_[8431] * vX_[1426] + vX_[7998] * vX_[620] + vX_[9180] * vX_[723] + vX_[9190] * vX_[590] +
+ vX_[22] * vX_[624] + vX_[9194] * vX_[637];
+ vX_[22] = vX_[9197] + vX_[9194] + vX_[9206] + vX_[9209] - vX_[9215] - vX_[9217];
+ vX_[9218] = vX_[22] - vX_[9218];
+ vX_[9190] = 0 - vX_[9181];
+ vX_[9180] = 0 - vX_[8425];
+ vX_[7998] = 0 - vX_[9202];
+ vX_[8431] = vX_[1454] - vX_[8423];
+ vX_[9243] = vX_[7990] - vX_[8423];
+ vX_[9244] = vX_[8417] + vX_[1541];
+ vX_[9245] = vX_[8415] + vX_[2899];
+ vX_[9246] = vX_[8412] + vX_[2880];
+ vX_[9247] = 0 - vX_[9246];
+ vX_[9248] = vX_[8431] * vX_[487] + vX_[9244] * vX_[485];
+ vX_[9249] = vX_[9243] * vX_[487];
+ vX_[9250] = vX_[8431] * vX_[473] + vX_[9244] * vX_[487];
+ vX_[9251] = vX_[9243] * vX_[485];
+ vX_[9252] = vX_[9250] + vX_[9251];
+ vX_[9253] = vX_[8668] * 0.0004405 + vX_[8679] * -8.81e-05 + vX_[8687] * -0.000227999999999999;
+ vX_[9254] = vX_[8668] * 0.1104774 + vX_[8681] * -8.81e-05 + (0 - vX_[8685]) * 0.025713;
+ vX_[9255] = (0 - vX_[8679]) * 0.0004405;
+ vX_[9256] = (0 - vX_[8681]) * 0.1104774;
+ vX_[9257] = vX_[9255] + vX_[9256];
+ vX_[9257] = vX_[9199] * vX_[1931] + vX_[1554] * vX_[1617] + vX_[9253] * vX_[42] + vX_[9254] * vX_[46] +
+ vX_[9257] * vX_[1305] + vX_[9257] * vX_[1305];
+ vX_[1554] = vX_[8666] * -0.0825825 + (0 - vX_[8672]) * 0.000102 + vX_[8667] * 0.007418 + vX_[8677] * 0.002735;
+ vX_[9199] = vX_[8666] * 0.47422804 + vX_[8672] * 2.1e-05 + (0 - vX_[8667]) * 0.084376 + (0 - vX_[8677]) * 0.007418;
+ vX_[9258] = (0 - vX_[8670]) * -0.0825825;
+ vX_[9259] = (0 - vX_[8671]) * 0.47422804;
+ vX_[9260] = vX_[8667] * 0.000102;
+ vX_[9261] = (0 - vX_[8677]) * 2.1e-05;
+ vX_[9262] = vX_[9258] + vX_[9259] + vX_[9260] + vX_[9261];
+ vX_[9262] = vX_[9257] + vX_[9224] * vX_[1698] + vX_[9225] * vX_[400] + vX_[9226] * vX_[1145] +
+ vX_[1303] * vX_[916] + vX_[1554] * vX_[43] + vX_[9199] * vX_[15] + vX_[9262] * vX_[1233] +
+ vX_[9262] * vX_[1233];
+ vX_[1303] = vX_[8625] * 0.5824264 + (0 - vX_[8649]) * -0.022734 + vX_[8662] * -3.6e-05 + vX_[8664] * -0.133138;
+ vX_[9226] = vX_[8625] * 0.1466472 + vX_[8649] * 0.009466 + (0 - vX_[8662]) * -5.1e-05 + vX_[8664] * -0.022734;
+ vX_[9263] = (0 - vX_[8653]) * 0.5824264;
+ vX_[9264] = (0 - vX_[8659]) * 0.1466472;
+ vX_[9265] = (0 - vX_[8649]) * -3.6e-05;
+ vX_[9266] = (0 - vX_[8664]) * -5.1e-05;
+ vX_[9267] = vX_[9263] + vX_[9264] + vX_[9265] - vX_[9266];
+ vX_[9268] = vX_[8653] * vX_[506] + vX_[8625] * vX_[553] + vX_[8659] * vX_[608] + vX_[8662] * vX_[607] +
+ vX_[8664] * vX_[469];
+ vX_[9267] = vX_[9229] * vX_[1687] + vX_[9231] * vX_[439] + vX_[9262] * -1 + vX_[1228] * vX_[5] +
+ vX_[9236] * vX_[1543] + vX_[1303] * vX_[10] + vX_[9226] * vX_[2916] + vX_[9267] * vX_[1882] +
+ vX_[9267] * vX_[1882] + vX_[9268] * x_in[24];
+ vX_[8683] = vX_[8679] * 0.1104774 + vX_[8681] * 0.0004405 + vX_[8683] * 0.025941;
+ vX_[9236] = (0 - vX_[8668]) * -8.81e-05;
+ vX_[9256] = vX_[9236] + vX_[9256];
+ vX_[8687] = vX_[8668] * 0.0004405 + vX_[8679] * 8.81e-05 + vX_[8687] * 0.000468;
+ vX_[9256] = vX_[8255] * vX_[4114] + vX_[1571] * vX_[1617] + vX_[9253] * vX_[1305] + vX_[8683] * vX_[46] +
+ vX_[9256] * vX_[42] + vX_[9256] * vX_[42] + vX_[8687] * x_in[26];
+ vX_[9236] = vX_[9236] + vX_[9255];
+ vX_[8685] = vX_[8668] * -0.1104774 + vX_[8681] * -8.81e-05 + vX_[8685] * 0.026409;
+ vX_[9236] = vX_[8002] * vX_[4114] + vX_[9222] * vX_[1931] + vX_[9254] * vX_[1305] + vX_[8683] * vX_[42] +
+ vX_[9236] * vX_[46] + vX_[9236] * vX_[46] - vX_[8685] * x_in[26];
+ vX_[8683] = vX_[8670] * 0.47422804 + vX_[8671] * -0.0825825 + vX_[8672] * 0.081641 + (0 - vX_[8667]) * 2.1e-05 +
+ vX_[8677] * 0.000102;
+ vX_[9254] = (0 - vX_[8672]) * 0.007418;
+ vX_[9261] = vX_[9259] + vX_[9254] - vX_[9261];
+ vX_[9259] = vX_[8666] * vX_[415] + vX_[8670] * vX_[430] + vX_[8671] * vX_[420] + vX_[8667] * vX_[464] +
+ vX_[8677] * vX_[460];
+ vX_[9261] = vX_[1780] * -0.35 + vX_[9256] * vX_[395] + vX_[9236] * vX_[397] + vX_[1811] * vX_[4117] +
+ vX_[1766] * vX_[916] + vX_[1554] * vX_[1233] + vX_[8683] * vX_[15] + vX_[9261] * vX_[43] +
+ vX_[9261] * vX_[43] + vX_[9259] * x_in[25];
+ vX_[9254] = vX_[9258] - vX_[9254] - vX_[9260];
+ vX_[9260] = vX_[8666] * vX_[427] + vX_[8670] * vX_[431] + vX_[8671] * vX_[425] + vX_[8667] * vX_[458] +
+ vX_[8677] * vX_[464];
+ vX_[9254] = vX_[9256] * vX_[398] + vX_[9236] * vX_[395] + vX_[2886] * vX_[4117] + vX_[9227] * vX_[1145] +
+ vX_[9199] * vX_[1233] + vX_[8683] * vX_[43] + vX_[9254] * vX_[15] + vX_[9254] * vX_[15] -
+ vX_[9260] * x_in[25];
+ vX_[9234] = vX_[9232] - vX_[9233] + vX_[9234];
+ vX_[9233] = vX_[8653] * 0.1466472 + vX_[8659] * 0.5824264 + vX_[8649] * -5.1e-05 + (0 - vX_[8662]) * -0.123672 +
+ (0 - vX_[8664]) * -3.6e-05;
+ vX_[9232] = vX_[8662] * -0.022734;
+ vX_[9265] = vX_[9263] - vX_[9265] - vX_[9232];
+ vX_[9263] = vX_[8653] * vX_[443] + vX_[8625] * vX_[605] + vX_[8659] * vX_[554] + vX_[8662] * vX_[552] +
+ vX_[8664] * vX_[607];
+ vX_[9265] = vX_[9261] * vX_[433] + vX_[9254] * vX_[421] + vX_[9234] * vX_[5] + vX_[1995] * vX_[4129] +
+ vX_[9233] * vX_[10] + vX_[9226] * vX_[1882] + vX_[9265] * vX_[2916] + vX_[9265] * vX_[2916] -
+ vX_[9263] * x_in[24];
+ vX_[8714] = vX_[8714] * vX_[2082];
+ vX_[9226] = vX_[8714] * vX_[395];
+ vX_[8715] = vX_[8715] * vX_[2082];
+ vX_[1995] = vX_[8715] * vX_[1702];
+ vX_[8716] = vX_[8716] * vX_[2082];
+ vX_[8683] = 0 - vX_[8716];
+ vX_[8686] = vX_[8686] * vX_[2077];
+ vX_[9199] = vX_[8686] * vX_[395];
+ vX_[9227] = vX_[8686] * vX_[1702];
+ vX_[2886] = 0 - vX_[9227];
+ vX_[8702] = vX_[8702] * vX_[2089];
+ vX_[9258] = vX_[8702] * vX_[1702];
+ vX_[8690] = vX_[8690] * vX_[1911];
+ vX_[1554] = vX_[8690] * vX_[395];
+ vX_[8688] = vX_[8688] * vX_[2077];
+ vX_[1766] = vX_[8688] * vX_[395];
+ vX_[1811] = vX_[8688] * vX_[1702];
+ vX_[1780] = vX_[8702] * vX_[395];
+ vX_[8703] = vX_[8703] * vX_[2089];
+ vX_[9222] = 0 - vX_[8703];
+ vX_[8002] = vX_[9222] * vX_[395];
+ vX_[8681] = vX_[8703] * vX_[1702];
+ vX_[8668] = vX_[8714] + vX_[8690];
+ vX_[8691] = vX_[8691] * vX_[1911];
+ vX_[9255] = 0 - vX_[8715] - vX_[8691];
+ vX_[9253] = vX_[8668] * vX_[1702] + vX_[9255] * vX_[395];
+ vX_[1571] = vX_[8691] * vX_[1702];
+ vX_[8708] = vX_[8708] * vX_[2089] + vX_[8696] * vX_[2077];
+ vX_[8696] = 0 - vX_[8708];
+ vX_[8255] = 0 - vX_[8708];
+ vX_[8679] = vX_[8255] * vX_[395];
+ vX_[9269] = vX_[8708] * vX_[1702];
+ vX_[9270] = vX_[8709] * vX_[1830] + vX_[8791] * vX_[1782] + vX_[8794] * vX_[1814];
+ vX_[9271] = 0 - vX_[9270];
+ vX_[9272] = vX_[8709] * vX_[1920] + vX_[8791] * vX_[1815] + vX_[8794] * vX_[1776];
+ vX_[9273] = vX_[9271] * x_in[18] + vX_[9272] * x_in[19];
+ vX_[9274] = 0 - vX_[9273];
+ vX_[9275] = 0 - vX_[9273];
+ vX_[9276] = vX_[9275] * vX_[395];
+ vX_[9277] = vX_[9273] * vX_[1702];
+ vX_[8709] = vX_[8709] * vX_[1812] + vX_[8791] * vX_[1831] + vX_[8794] * vX_[1921];
+ jac[934] = vX_[9230] * vX_[1708] + vX_[9228] * vX_[1145] + vX_[9260] * vX_[2090] + vX_[9259] * vX_[43] + vX_[9262] +
+ vX_[8709] * vX_[1835] + vX_[9270] * vX_[1788] + vX_[9272] * vX_[1821];
+ jac[970] = vX_[8287] * vX_[1739] + vX_[9223] * vX_[1931] + vX_[8685] * vX_[6] + vX_[8687] * vX_[42] + vX_[9257] +
+ vX_[8709] * vX_[1845] + vX_[9270] * vX_[1799] + vX_[9272] * vX_[1818];
+ vX_[8685] = vX_[8709] * x_in[26];
+ vX_[8687] = vX_[8685] * vX_[395];
+ vX_[9257] = vX_[8685] * vX_[1702];
+ vX_[8287] = vX_[8709] * x_in[25];
+ vX_[9223] = vX_[9270] * x_in[24];
+ vX_[9260] = 0 - vX_[9223];
+ vX_[9259] = vX_[8287] * vX_[395];
+ vX_[9262] = 0 - vX_[9223];
+ vX_[9230] = vX_[9262] * vX_[395];
+ vX_[9228] = vX_[8287] * vX_[1702];
+ vX_[8794] = vX_[9223] * vX_[1702];
+ vX_[8791] = vX_[8720] * vX_[1876];
+ vX_[9278] = 0 - vX_[8791];
+ vX_[9279] = 0 - vX_[8791];
+ vX_[9280] = vX_[9279] * vX_[395];
+ vX_[9281] = vX_[8791] * vX_[1702];
+ vX_[9282] = 0 - vX_[9178];
+ vX_[9283] = 0 - vX_[2088];
+ vX_[22] = 0 - vX_[22] + vX_[9216];
+ vX_[9216] = 0 - vX_[9212];
+ vX_[9246] = 0 - vX_[9246];
+ vX_[8680] = vX_[8680] * vX_[2077];
+ vX_[9284] = vX_[8680] * vX_[1702];
+ vX_[8682] = vX_[8682] * vX_[2077];
+ vX_[9285] = 0 - vX_[8682];
+ vX_[9286] = vX_[9285] * vX_[395];
+ vX_[8684] = vX_[8684] * vX_[2077];
+ vX_[9287] = 0 - vX_[8684];
+ vX_[8701] = vX_[8701] * vX_[2089];
+ vX_[8717] = vX_[8717] * vX_[2082];
+ vX_[9288] = vX_[8717] * vX_[395];
+ vX_[9289] = vX_[8717] * vX_[1702];
+ vX_[8706] = vX_[8706] * vX_[2079];
+ vX_[9290] = vX_[8706] * vX_[1702];
+ vX_[8718] = vX_[8718] * vX_[2082];
+ vX_[9291] = vX_[8718] * vX_[395];
+ vX_[9292] = 0 - vX_[9291];
+ vX_[9293] = vX_[8718] * vX_[1702];
+ vX_[8707] = vX_[8707] * vX_[2079];
+ vX_[9294] = 0 - vX_[8707];
+ vX_[9295] = vX_[9294] * vX_[395];
+ vX_[9296] = vX_[8680] + vX_[8706];
+ vX_[8707] = vX_[8682] + vX_[8707];
+ vX_[8682] = vX_[9296] * vX_[395] + vX_[8707] * vX_[1702];
+ vX_[8704] = vX_[8704] * vX_[2089] + vX_[8695] * vX_[2082];
+ vX_[8695] = 0 - vX_[8704];
+ vX_[9297] = 0 - vX_[8704];
+ vX_[9298] = vX_[9297] * vX_[395];
+ vX_[9299] = vX_[8704] * vX_[1702];
+ vX_[9300] = 0 - vX_[9272];
+ vX_[9301] = vX_[8709] * x_in[18] + vX_[9300] * x_in[20];
+ vX_[9302] = 0 - vX_[9301];
+ vX_[9303] = vX_[9301] * vX_[1702];
+ vX_[9304] = vX_[8709] * x_in[24];
+ vX_[9305] = vX_[9304] * vX_[1702];
+ vX_[9306] = vX_[9270] * x_in[26];
+ vX_[9307] = vX_[9306] * vX_[395];
+ vX_[9308] = vX_[9306] * vX_[1702];
+ vX_[9309] = vX_[9270] * x_in[25];
+ vX_[9310] = vX_[9304] * vX_[395];
+ vX_[9311] = vX_[9309] * vX_[395];
+ vX_[9312] = vX_[9309] * vX_[1702];
+ vX_[9313] = vX_[8720] * vX_[1866];
+ vX_[9314] = 0 - vX_[9313];
+ vX_[9315] = 0 - vX_[9301];
+ vX_[9316] = 0 - vX_[9313];
+ vX_[9317] = vX_[9315] * vX_[395] + vX_[9316] * vX_[395];
+ vX_[9318] = vX_[9313] * vX_[1702];
+ jac[250] =
+ 0 -
+ (0 - (vX_[8416] * vX_[4135] + vX_[1300] * x_in[22]) +
+ (vX_[8408] * vX_[4135] + vX_[9201] * vX_[487] + vX_[1300] * x_in[20]) * -0.3735 -
+ (vX_[8418] * vX_[3739] + vX_[9238] * x_in[23]) + (vX_[8403] * vX_[3739] + vX_[9238] * x_in[19]) * 0.3735 +
+ (vX_[8434] * vX_[3739] +
+ (vX_[7857] * vX_[556] + vX_[9212] * vX_[611] + vX_[9239] * vX_[500] + vX_[9203] * vX_[502] +
+ vX_[9178] * vX_[472] + vX_[2088] * vX_[481] + vX_[9241] * vX_[484] + vX_[9242] * vX_[501] +
+ vX_[9218] * vX_[490] + vX_[9190] * vX_[554] + vX_[9212] * vX_[608] + vX_[9180] * vX_[443] +
+ vX_[7998] * vX_[561]) *
+ -1 +
+ vX_[9238] * x_in[18]) *
+ -0.207 -
+ (vX_[8408] * vX_[1456] + vX_[8403] * vX_[1893] + vX_[8431] * vX_[719] + vX_[9243] * vX_[717] +
+ vX_[9244] * vX_[715] + vX_[9245] * vX_[688] + vX_[9247] * vX_[490] + vX_[9248] * vX_[696] +
+ vX_[9249] * vX_[695] + vX_[9252] * vX_[472] + vX_[9205] * vX_[680] + vX_[9208] * vX_[658] +
+ vX_[8419] * vX_[508] + vX_[2024] * vX_[498] + vX_[9206] * vX_[681] + vX_[9209] * vX_[661] +
+ vX_[9186] * vX_[659] + vX_[9207] * vX_[610] + vX_[8240] * vX_[660] + vX_[9210] * vX_[657] +
+ vX_[9189] * vX_[497] + vX_[9188] * vX_[507] + vX_[9184] * vX_[617] + vX_[9183] * vX_[615] +
+ vX_[8276] * vX_[613] + vX_[8420] * vX_[634] + vX_[1140] * vX_[635] + vX_[8427] * vX_[562] +
+ vX_[8284] * vX_[558] + vX_[1763] * vX_[612] + vX_[9201] * vX_[488] + vX_[9267] * x_in[19] +
+ vX_[9265] * x_in[20]) +
+ vX_[8669] * vX_[2077] + vX_[8705] * vX_[2079] + vX_[9226] * vX_[394] + vX_[1995] * vX_[394] +
+ vX_[8683] * vX_[394] * 0.35 + vX_[8716] * 0.3735 + vX_[9199] * 0.35 + vX_[9199] * vX_[421] * 0.08 +
+ vX_[9199] * vX_[394] * -0.3735 + vX_[2886] * vX_[421] * 0.3735 + vX_[9227] * vX_[394] * -0.08 +
+ vX_[9258] * vX_[421] * 0.207 + vX_[1554] * vX_[394] + vX_[1766] * vX_[421] * 0.3735 +
+ vX_[1766] * vX_[394] * 0.08 + vX_[1811] * 0.35 + vX_[1811] * vX_[394] * -0.3735 +
+ (vX_[1780] * vX_[394] + vX_[8002] * vX_[421]) * 0.207 + vX_[8681] * vX_[394] * 0.207 +
+ vX_[9253] * vX_[421] + vX_[1571] * vX_[394] + (vX_[1811] * vX_[421] - vX_[8708]) * 0.08 +
+ vX_[8696] * vX_[421] * 0.35 + vX_[8679] * vX_[421] * 0.33 + vX_[9269] * vX_[394] * 0.33 +
+ (0 - vX_[9273]) * 0.08 + vX_[9274] * vX_[421] * 0.35 + vX_[9276] * vX_[421] * 0.33 +
+ vX_[9277] * vX_[394] * 0.33 + vX_[8687] * vX_[394] * 0.33 + vX_[9257] * vX_[421] * 0.33 +
+ vX_[8287] * vX_[394] * 0.35 + (0 - vX_[9223]) * 0.08 + vX_[9260] * vX_[421] * 0.35 +
+ (vX_[9259] * vX_[394] + vX_[9230] * vX_[421]) * 0.33 +
+ (vX_[9228] * vX_[421] + vX_[8794] * vX_[394]) * 0.33 + (0 - vX_[8791]) * 0.08 +
+ vX_[9278] * vX_[421] * 0.35 + vX_[9280] * vX_[421] * 0.33 + vX_[9281] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[8418] * vX_[4135] + vX_[8408] * vX_[1893] + vX_[8431] * vX_[715] + vX_[9245] * vX_[490] +
+ vX_[9250] * vX_[695] + vX_[9248] * vX_[472] + vX_[9208] * vX_[661] + vX_[8419] * vX_[498] +
+ vX_[9206] * vX_[680] + vX_[9186] * vX_[660] + vX_[9207] * vX_[657] + vX_[9189] * vX_[507] +
+ vX_[9184] * vX_[613] + vX_[8420] * vX_[635] + vX_[8426] * vX_[558] + vX_[8427] * vX_[612] +
+ (vX_[9181] * vX_[609] + vX_[9213] * vX_[452] + vX_[8425] * vX_[502] + vX_[9240] * vX_[476] +
+ vX_[9200] * vX_[491] + vX_[9282] * vX_[475] + vX_[8429] * vX_[484] + vX_[9283] * vX_[472] +
+ vX_[8432] * vX_[490] + vX_[22] * vX_[501] + vX_[9181] * vX_[605] + vX_[9216] * vX_[553] +
+ vX_[8425] * vX_[506] + vX_[9200] * vX_[550]) *
+ 0.207 +
+ vX_[1300] * x_in[23] + vX_[9267] * x_in[20] +
+ (vX_[8403] * vX_[4135] + vX_[9201] * vX_[485] + vX_[1300] * x_in[19]) * -0.3735 +
+ (vX_[8434] * vX_[4135] + vX_[1300] * x_in[18]) * 0.207 - (vX_[8416] * vX_[3739] + vX_[9238] * x_in[22]) +
+ (vX_[8408] * vX_[3739] + vX_[9238] * x_in[20]) * -0.3735 -
+ (vX_[8403] * vX_[1456] + vX_[9243] * vX_[716] + vX_[9244] * vX_[719] + vX_[9246] * vX_[688] +
+ vX_[9249] * vX_[472] + vX_[9251] * vX_[696] + vX_[9205] * vX_[681] + vX_[2024] * vX_[508] +
+ vX_[9209] * vX_[658] + vX_[8240] * vX_[659] + vX_[9210] * vX_[610] + vX_[9188] * vX_[497] +
+ vX_[9183] * vX_[614] + vX_[8276] * vX_[617] + vX_[9191] * vX_[634] + vX_[8284] * vX_[612] +
+ vX_[9182] * vX_[562] + vX_[9201] * vX_[486] + vX_[9265] * x_in[19]) -
+ vX_[8713] * vX_[2082] + vX_[9284] * vX_[421] + vX_[9286] * vX_[421] + vX_[9287] * vX_[394] * 0.35 +
+ vX_[8684] * 0.3735 + (0 - vX_[8701]) * 0.207 - vX_[8689] * vX_[1911] + (0 - vX_[9288]) * 0.35 +
+ (0 - vX_[9288] * vX_[421]) * 0.08 + vX_[9288] * vX_[394] * 0.3735 + vX_[9289] * vX_[421] * 0.3735 +
+ vX_[9289] * vX_[394] * 0.08 + vX_[9290] * vX_[421] + vX_[9292] * vX_[421] * 0.3735 +
+ (0 - vX_[9291] * vX_[394]) * 0.08 + (0 - vX_[9293]) * 0.35 + (0 - vX_[9293] * vX_[421]) * 0.08 +
+ vX_[9293] * vX_[394] * 0.3735 + vX_[9295] * vX_[421] + vX_[8682] * vX_[394] + (0 - vX_[8704]) * 0.08 +
+ vX_[8695] * vX_[421] * 0.35 + vX_[9298] * vX_[421] * 0.33 + vX_[9299] * vX_[394] * 0.33 +
+ (0 - vX_[9301]) * 0.08 + vX_[9302] * vX_[421] * 0.35 + vX_[9303] * vX_[394] * 0.33 + vX_[9304] * 0.08 +
+ vX_[9304] * vX_[421] * 0.35 + vX_[9305] * vX_[394] * -0.33 + vX_[9307] * vX_[394] * 0.33 +
+ vX_[9308] * vX_[421] * 0.33 + vX_[9309] * vX_[394] * 0.35 +
+ (vX_[9310] * vX_[421] + vX_[9311] * vX_[394]) * 0.33 + vX_[9312] * vX_[421] * 0.33 +
+ (0 - vX_[9313]) * 0.08 + vX_[9314] * vX_[421] * 0.35 + vX_[9317] * vX_[421] * 0.33 +
+ vX_[9318] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[8684] = vX_[9083] * 0.881 + (0 - vX_[9085]) * 0.0004405 + vX_[9087] * -8.81e-05;
+ vX_[8716] = vX_[9081] * -0.881;
+ vX_[9244] = vX_[9085] * 0.1104774;
+ vX_[9243] = vX_[9089] * -8.81e-05;
+ vX_[8431] = vX_[8716] - vX_[9244] + vX_[9243];
+ vX_[9240] = vX_[8684] * vX_[42] + vX_[8431] * vX_[46];
+ vX_[9239] = vX_[9073] * 3.146 + (0 - vX_[9074]) * -0.0825825;
+ vX_[9201] = vX_[9072] * -3.146;
+ vX_[9213] = vX_[9074] * 0.47422804;
+ vX_[1140] = vX_[9201] - vX_[9213];
+ vX_[8240] = vX_[9240] + vX_[9239] * vX_[43] + vX_[1140] * vX_[15];
+ vX_[9186] = vX_[1658] * 3.44 + vX_[9060] * 0.5824264;
+ vX_[7857] = 0 - vX_[9186];
+ vX_[9191] = vX_[1519] * 3.44 + (0 - vX_[9060]) * 0.1466472;
+ vX_[8420] = vX_[1519] * vX_[490] + vX_[1618] * vX_[472] + vX_[1658] * vX_[481] + vX_[9060] * vX_[554] +
+ vX_[9064] * vX_[608];
+ vX_[9210] = vX_[8240] * -1 + vX_[7857] * vX_[10] + vX_[9191] * vX_[2916] + vX_[8420] * x_in[24];
+ vX_[9209] = 0 - vX_[8847] * vX_[4116];
+ vX_[9208] = 0 - vX_[9209];
+ vX_[9207] = 0 - vX_[9209];
+ vX_[8846] = (vX_[8846] * vX_[4116] + vX_[9207] * vX_[743]) * 1 / vX_[718];
+ vX_[743] = 0 - vX_[8846];
+ vX_[718] = 0 - vX_[9209];
+ vX_[9206] = 0 - vX_[8846];
+ vX_[8841] = (vX_[8841] * vX_[4116] + vX_[718] * vX_[689] + vX_[9206] * vX_[736]) * 1 / vX_[721];
+ vX_[9205] = 0 - vX_[8841];
+ vX_[8838] =
+ (vX_[8838] * vX_[4116] + vX_[9208] * vX_[682] + vX_[743] * vX_[730] + vX_[9205] * vX_[509]) * 1 / vX_[618];
+ vX_[9207] = vX_[8848] * vX_[1853] + vX_[9207] * vX_[712];
+ vX_[8848] = 0 - vX_[9207];
+ vX_[1853] = 0 - vX_[8845] * vX_[1853] - vX_[8846] * vX_[712];
+ vX_[712] = 0 - vX_[1853];
+ vX_[9203] = 0 - vX_[9207];
+ vX_[9188] = 0 - vX_[1853];
+ vX_[8844] = (vX_[8844] * vX_[4108] + vX_[9203] * vX_[689] + vX_[9188] * vX_[736]) * 1 / vX_[721];
+ vX_[689] = 0 - vX_[8844];
+ vX_[8843] =
+ (vX_[8843] * vX_[4108] + vX_[8848] * vX_[682] + vX_[712] * vX_[730] + vX_[689] * vX_[509]) * 1 / vX_[618];
+ vX_[9203] = vX_[8851] * vX_[41] + vX_[718] * vX_[722] + vX_[9203] * vX_[737];
+ vX_[718] = 0 - vX_[9203];
+ vX_[9188] = vX_[8852] * vX_[41] + vX_[9206] * vX_[722] + vX_[9188] * vX_[737];
+ vX_[9206] = 0 - vX_[9188];
+ vX_[41] = 0 - vX_[8835] * vX_[41] - vX_[8841] * vX_[722] - vX_[8844] * vX_[737];
+ vX_[737] = 0 - vX_[41];
+ vX_[8840] =
+ (vX_[8840] * vX_[1647] + vX_[718] * vX_[682] + vX_[9206] * vX_[730] + vX_[737] * vX_[509]) * 1 / vX_[618];
+ vX_[682] = 0 - vX_[8837] * vX_[801] - vX_[8838] * vX_[604] - vX_[8843] * vX_[731] - vX_[8840] * vX_[664];
+ vX_[730] = 0 - vX_[9209];
+ vX_[509] = 0 - vX_[8846];
+ vX_[618] = 0 - vX_[8841];
+ vX_[722] = 0 - vX_[8838];
+ vX_[8852] = 0 - vX_[9209];
+ vX_[8851] = 0 - vX_[8846];
+ vX_[736] = 0 - vX_[8841];
+ vX_[721] = 0 - vX_[8838];
+ vX_[8833] = (vX_[8833] * vX_[4116] + vX_[8852] * vX_[662] + vX_[8851] * vX_[633] + vX_[736] * vX_[691] +
+ vX_[721] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[8419] = 0 - vX_[8833];
+ vX_[4116] = (vX_[8817] * vX_[4116] + vX_[730] * vX_[510] + vX_[509] * vX_[518] + vX_[618] * vX_[690] +
+ vX_[722] * vX_[628] + vX_[8419] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[9189] = 0 - vX_[9207];
+ vX_[2024] = 0 - vX_[1853];
+ vX_[1763] = 0 - vX_[8844];
+ vX_[9182] = 0 - vX_[8843];
+ vX_[8426] = 0 - vX_[9207];
+ vX_[8284] = 0 - vX_[1853];
+ vX_[9183] = 0 - vX_[8844];
+ vX_[8427] = 0 - vX_[8843];
+ vX_[8842] = (vX_[8842] * vX_[4108] + vX_[8426] * vX_[662] + vX_[8284] * vX_[633] + vX_[9183] * vX_[691] +
+ vX_[8427] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[8276] = 0 - vX_[8842];
+ vX_[4108] = (vX_[8817] * vX_[4108] + vX_[9189] * vX_[510] + vX_[2024] * vX_[518] + vX_[1763] * vX_[690] +
+ vX_[9182] * vX_[628] + vX_[8276] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[9184] = 0 - vX_[9203];
+ vX_[8713] = 0 - vX_[9188];
+ vX_[8705] = 0 - vX_[41];
+ vX_[8689] = 0 - vX_[8840];
+ vX_[8669] = 0 - vX_[9203];
+ vX_[9319] = 0 - vX_[9188];
+ vX_[9320] = 0 - vX_[41];
+ vX_[9321] = 0 - vX_[8840];
+ vX_[8839] = (vX_[8839] * vX_[1647] + vX_[8669] * vX_[662] + vX_[9319] * vX_[633] + vX_[9320] * vX_[691] +
+ vX_[9321] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[9322] = 0 - vX_[8839];
+ vX_[9323] = (vX_[8817] * vX_[1647] + vX_[9184] * vX_[510] + vX_[8713] * vX_[518] + vX_[8705] * vX_[690] +
+ vX_[8689] * vX_[628] + vX_[9322] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[718] = vX_[8849] * vX_[801] + vX_[9208] * vX_[604] + vX_[8848] * vX_[731] + vX_[718] * vX_[664];
+ vX_[8848] = 0 - vX_[718];
+ vX_[9206] = vX_[8850] * vX_[801] + vX_[743] * vX_[604] + vX_[712] * vX_[731] + vX_[9206] * vX_[664];
+ vX_[712] = 0 - vX_[9206];
+ vX_[737] = vX_[8853] * vX_[801] + vX_[9205] * vX_[604] + vX_[689] * vX_[731] + vX_[737] * vX_[664];
+ vX_[689] = 0 - vX_[737];
+ vX_[9205] = 0 - vX_[682];
+ vX_[801] = 0 - vX_[718];
+ vX_[8853] = 0 - vX_[9206];
+ vX_[731] = 0 - vX_[737];
+ vX_[664] = 0 - vX_[682];
+ vX_[8836] = (vX_[8836] * vX_[3708] + vX_[801] * vX_[662] + vX_[8853] * vX_[633] + vX_[731] * vX_[691] +
+ vX_[664] * vX_[667]) *
+ 1 / vX_[616];
+ vX_[662] = 0 - vX_[8836];
+ vX_[3708] = (vX_[8817] * vX_[3708] + vX_[8848] * vX_[510] + vX_[712] * vX_[518] + vX_[689] * vX_[690] +
+ vX_[9205] * vX_[628] + vX_[662] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[801] = vX_[8854] * vX_[1083] + vX_[8852] * vX_[602] + vX_[8426] * vX_[725] + vX_[8669] * vX_[666] +
+ vX_[801] * vX_[668];
+ vX_[8669] = 0 - vX_[801];
+ vX_[8853] = vX_[8855] * vX_[1083] + vX_[8851] * vX_[602] + vX_[8284] * vX_[725] + vX_[9319] * vX_[666] +
+ vX_[8853] * vX_[668];
+ vX_[9319] = 0 - vX_[8853];
+ vX_[731] =
+ vX_[8856] * vX_[1083] + vX_[736] * vX_[602] + vX_[9183] * vX_[725] + vX_[9320] * vX_[666] + vX_[731] * vX_[668];
+ vX_[9320] = 0 - vX_[731];
+ vX_[664] =
+ vX_[8857] * vX_[1083] + vX_[721] * vX_[602] + vX_[8427] * vX_[725] + vX_[9321] * vX_[666] + vX_[664] * vX_[668];
+ vX_[9321] = 0 - vX_[664];
+ vX_[1083] = 0 - vX_[8832] * vX_[1083] - vX_[8833] * vX_[602] - vX_[8842] * vX_[725] - vX_[8839] * vX_[666] -
+ vX_[8836] * vX_[668];
+ vX_[725] = 0 - vX_[1083];
+ vX_[3689] = (vX_[8817] * vX_[3689] + vX_[8669] * vX_[510] + vX_[9319] * vX_[518] + vX_[9320] * vX_[690] +
+ vX_[9321] * vX_[628] + vX_[725] * vX_[636]) *
+ 1 / vX_[619];
+ vX_[8817] = 0 - vX_[8863] * vX_[1426] - vX_[4116] * vX_[620] - vX_[4108] * vX_[723] - vX_[9323] * vX_[590] -
+ vX_[3708] * vX_[624] - vX_[3689] * vX_[637];
+ vX_[510] = vX_[682] - vX_[8817];
+ vX_[518] = vX_[8836] + vX_[664];
+ vX_[690] = vX_[510] * vX_[487] + vX_[518] * vX_[485];
+ vX_[628] = vX_[1083] - vX_[8817];
+ vX_[636] = vX_[628] * vX_[487];
+ vX_[619] = vX_[510] * vX_[473] + vX_[518] * vX_[487];
+ vX_[666] = vX_[628] * vX_[485];
+ vX_[668] = vX_[619] + vX_[666];
+ vX_[602] = vX_[690] * vX_[473] + vX_[636] * vX_[485] + vX_[668] * vX_[487];
+ vX_[8427] = 0 - vX_[602];
+ vX_[721] = vX_[8817] + vX_[619] * vX_[473] + vX_[636] * vX_[487];
+ vX_[8857] = 0 - vX_[721];
+ vX_[9183] = vX_[8817] + vX_[690] * vX_[487] + vX_[666] * vX_[485];
+ vX_[9319] = vX_[8859] * vX_[1426] + vX_[509] * vX_[620] + vX_[2024] * vX_[723] + vX_[8713] * vX_[590] +
+ vX_[712] * vX_[624] + vX_[9319] * vX_[637];
+ vX_[712] = vX_[4108] + vX_[9319];
+ vX_[8713] = vX_[8839] + vX_[731] - vX_[712];
+ vX_[8669] = vX_[8858] * vX_[1426] + vX_[730] * vX_[620] + vX_[9189] * vX_[723] + vX_[9184] * vX_[590] +
+ vX_[8848] * vX_[624] + vX_[8669] * vX_[637];
+ vX_[8848] = vX_[4116] + vX_[8669];
+ vX_[9184] = 0 - (vX_[8840] + vX_[737]) + vX_[8848];
+ vX_[9189] = (vX_[8848] * vX_[473] + vX_[712] * vX_[487]) * -1;
+ vX_[730] = 0 - (vX_[8713] * vX_[487] + vX_[9184] * vX_[485]) + vX_[9189];
+ vX_[8858] = vX_[730] + vX_[721] * vX_[474];
+ vX_[2024] = 0 - vX_[8858];
+ vX_[509] = (vX_[8848] * vX_[487] + vX_[712] * vX_[485]) * -1;
+ vX_[8859] = vX_[8713] * vX_[473] + vX_[9184] * vX_[487] + vX_[509];
+ vX_[736] = 0 - vX_[9183];
+ vX_[8856] = vX_[8859] + vX_[602] * vX_[474] + vX_[736] * vX_[393];
+ vX_[8284] = vX_[8843] + vX_[9206];
+ vX_[8851] = vX_[8838] + vX_[718];
+ vX_[8855] = vX_[8284] * vX_[485] + vX_[8851] * vX_[487];
+ vX_[8426] = vX_[8833] + vX_[801];
+ vX_[8852] = vX_[8842] + vX_[8853];
+ vX_[8854] = vX_[8426] * vX_[487] + vX_[8852] * vX_[485];
+ vX_[633] = vX_[8855] * vX_[473] + vX_[8854] * vX_[487];
+ vX_[725] = vX_[8862] * vX_[1426] + vX_[8419] * vX_[620] + vX_[8276] * vX_[723] + vX_[9322] * vX_[590] +
+ vX_[662] * vX_[624] + vX_[725] * vX_[637];
+ vX_[662] = vX_[3689] + vX_[725];
+ vX_[9321] = vX_[8861] * vX_[1426] + vX_[722] * vX_[620] + vX_[9182] * vX_[723] + vX_[8689] * vX_[590] +
+ vX_[9205] * vX_[624] + vX_[9321] * vX_[637];
+ vX_[9205] = vX_[3708] + vX_[9321];
+ vX_[8689] = 0 - vX_[9205];
+ vX_[9182] = vX_[662] * vX_[487] + vX_[8689] * vX_[485];
+ vX_[722] = 0 - vX_[9182];
+ vX_[8861] = vX_[633] + vX_[722] * vX_[393] + vX_[8857] * vX_[489];
+ vX_[9322] = 0 - vX_[8861];
+ vX_[8276] = vX_[8284] * vX_[487] + vX_[8851] * vX_[473];
+ vX_[8419] = vX_[8426] * vX_[473] + vX_[8852] * vX_[487];
+ vX_[8862] = vX_[8276] * vX_[487] + vX_[8419] * vX_[485];
+ vX_[9205] = 0 - vX_[9205];
+ vX_[691] = vX_[662] * vX_[473] + vX_[9205] * vX_[487];
+ vX_[667] = 0 - vX_[691];
+ vX_[616] = vX_[8862] + vX_[667] * vX_[474] + vX_[9183] * vX_[489];
+ vX_[604] = vX_[8276] * vX_[473] + vX_[8419] * vX_[487];
+ vX_[743] = vX_[604] + vX_[9182] * vX_[474];
+ vX_[8850] = vX_[8855] * vX_[487] + vX_[8854] * vX_[485];
+ vX_[9208] = vX_[8850] + vX_[691] * vX_[393] + vX_[8427] * vX_[489];
+ vX_[8849] = 0 - vX_[743] + vX_[9208];
+ vX_[9324] = 0 - vX_[602];
+ vX_[9325] = 0 - vX_[721];
+ vX_[8857] = vX_[8427] * vX_[611] + vX_[8857] * vX_[556] + vX_[9183] * vX_[452] + vX_[2024] * vX_[490] +
+ vX_[8856] * vX_[501] + vX_[9322] * vX_[481] + vX_[616] * vX_[475] + vX_[8849] * vX_[472] +
+ vX_[9324] * vX_[608] + vX_[602] * vX_[605] + vX_[9325] * vX_[555] + vX_[9183] * vX_[559];
+ vX_[8427] = 0 - vX_[8684];
+ vX_[559] = vX_[9070] * 0.881 + (0 - vX_[9087]) * 0.1104774 + vX_[9089] * 0.0004405;
+ vX_[555] = vX_[9081] * 0.00185880198235362 + vX_[9083] * 0.880992588508842 + vX_[9087] * -8.81e-05;
+ vX_[9326] = vX_[8427] * vX_[1305] + vX_[559] * vX_[46] + vX_[555] * x_in[26];
+ vX_[9243] = 0 - vX_[8716] + vX_[9244] - vX_[9243];
+ vX_[9244] = 0 - vX_[559];
+ vX_[8716] = vX_[9081] * 0.414812462825713 + vX_[9083] * 0.00185880198235362 + vX_[9089] * 8.81e-05;
+ vX_[9327] = vX_[9243] * vX_[1305] + vX_[9244] * vX_[42] - vX_[8716] * x_in[26];
+ vX_[9328] = 0 - vX_[9239];
+ vX_[9329] = vX_[9068] * 3.146 + (0 - vX_[9069]) * 0.47422804 + vX_[9079] * -0.0825825;
+ vX_[9330] = vX_[9072] * vX_[449] + vX_[9073] * vX_[448] + vX_[9069] * vX_[425] + vX_[9079] * vX_[420];
+ vX_[9331] = vX_[9326] * vX_[395] + vX_[9327] * vX_[397] + vX_[9328] * vX_[1233] + vX_[9329] * vX_[15] +
+ vX_[9330] * x_in[25];
+ vX_[9213] = 0 - vX_[9201] + vX_[9213];
+ vX_[9201] = 0 - vX_[9329];
+ vX_[9332] = vX_[9072] * vX_[447] + vX_[9073] * vX_[449] + vX_[9069] * vX_[431] + vX_[9079] * vX_[430];
+ vX_[1690] = vX_[9326] * vX_[1690] + vX_[9327] * vX_[395] + vX_[9213] * vX_[1233] + vX_[9201] * vX_[43] -
+ vX_[9332] * x_in[25];
+ vX_[9333] = vX_[1618] * -3.44;
+ vX_[9334] = vX_[9063] * 0.1466472;
+ vX_[9335] = vX_[9064] * 0.5824264;
+ vX_[9336] = 0 - vX_[9333] + vX_[9334] - vX_[9335];
+ vX_[9337] = 0 - vX_[9191];
+ vX_[9338] = vX_[1519] * vX_[501] + vX_[1618] * vX_[475] + vX_[1658] * vX_[472] + vX_[9060] * vX_[605] +
+ vX_[9064] * vX_[553];
+ vX_[9339] = vX_[9331] * vX_[1686] + vX_[1690] * vX_[421] + vX_[9336] * vX_[10] + vX_[9337] * vX_[1882] -
+ vX_[9338] * x_in[24];
+ vX_[9340] = vX_[682] + vX_[1083] + vX_[8817] - vX_[721] - vX_[9183];
+ vX_[9341] = 0 - vX_[9340];
+ vX_[9189] = vX_[9189] + vX_[9341] * vX_[474];
+ vX_[509] = vX_[509] + vX_[9340] * vX_[393];
+ vX_[9342] = 0 - vX_[8856];
+ vX_[9343] = 0 - vX_[616];
+ vX_[9320] = vX_[8860] * vX_[1426] + vX_[618] * vX_[620] + vX_[1763] * vX_[723] + vX_[8705] * vX_[590] +
+ vX_[689] * vX_[624] + vX_[9320] * vX_[637];
+ vX_[689] = vX_[9323] + vX_[9320] + vX_[8851] + vX_[8852] - vX_[604] - vX_[8850];
+ vX_[9208] = vX_[689] - vX_[9208];
+ vX_[8705] = 0 - vX_[9182];
+ vX_[1763] = 0 - vX_[602];
+ vX_[618] = 0 - vX_[9183];
+ vX_[1426] = vX_[9209] - vX_[41];
+ vX_[8860] = vX_[1853] - vX_[41];
+ vX_[723] = vX_[8846] + vX_[9207];
+ vX_[590] = vX_[8844] + vX_[9188];
+ vX_[624] = vX_[8841] + vX_[9203];
+ vX_[637] = 0 - vX_[624];
+ vX_[620] = vX_[1426] * vX_[487] + vX_[723] * vX_[485];
+ vX_[9344] = vX_[8860] * vX_[487];
+ vX_[9345] = vX_[1426] * vX_[473] + vX_[723] * vX_[487];
+ vX_[9346] = vX_[8860] * vX_[485];
+ vX_[9347] = vX_[9345] + vX_[9346];
+ vX_[9348] = vX_[9070] * 0.0004405 + vX_[9081] * -8.81e-05 + vX_[9089] * -0.000227999999999999;
+ vX_[9349] = vX_[9070] * 0.1104774 + vX_[9083] * -8.81e-05 + (0 - vX_[9087]) * 0.025713;
+ vX_[9350] = (0 - vX_[9081]) * 0.0004405;
+ vX_[9351] = (0 - vX_[9083]) * 0.1104774;
+ vX_[9352] = vX_[9350] + vX_[9351];
+ vX_[9352] = vX_[8427] * vX_[1931] + vX_[9243] * vX_[1617] + vX_[9348] * vX_[42] + vX_[9349] * vX_[46] +
+ vX_[9352] * vX_[1305] + vX_[9352] * vX_[1305];
+ vX_[9243] = vX_[9068] * -0.0825825 + (0 - vX_[9074]) * 0.000102 + vX_[9069] * 0.007418 + vX_[9079] * 0.002735;
+ vX_[8427] = vX_[9068] * 0.47422804 + vX_[9074] * 2.1e-05 + (0 - vX_[9069]) * 0.084376 + (0 - vX_[9079]) * 0.007418;
+ vX_[9353] = (0 - vX_[9072]) * -0.0825825;
+ vX_[9354] = (0 - vX_[9073]) * 0.47422804;
+ vX_[9355] = vX_[9069] * 0.000102;
+ vX_[9356] = (0 - vX_[9079]) * 2.1e-05;
+ vX_[9357] = vX_[9353] + vX_[9354] + vX_[9355] + vX_[9356];
+ vX_[9357] = vX_[9352] + vX_[9326] * vX_[1698] + vX_[9327] * vX_[400] + vX_[9328] * vX_[1145] +
+ vX_[9213] * vX_[916] + vX_[9243] * vX_[43] + vX_[8427] * vX_[15] + vX_[9357] * vX_[1233] +
+ vX_[9357] * vX_[1233];
+ vX_[9213] = vX_[1618] * 0.5824264 + (0 - vX_[9063]) * -0.022734 + vX_[9060] * -3.6e-05 + vX_[9064] * -0.133138;
+ vX_[9328] = vX_[1618] * 0.1466472 + vX_[9063] * 0.009466 + (0 - vX_[9060]) * -5.1e-05 + vX_[9064] * -0.022734;
+ vX_[1698] = (0 - vX_[1519]) * 0.5824264;
+ vX_[9358] = (0 - vX_[1658]) * 0.1466472;
+ vX_[9359] = (0 - vX_[9063]) * -3.6e-05;
+ vX_[9360] = (0 - vX_[9064]) * -5.1e-05;
+ vX_[9361] = vX_[1698] + vX_[9358] + vX_[9359] - vX_[9360];
+ vX_[469] = vX_[1519] * vX_[506] + vX_[1618] * vX_[553] + vX_[1658] * vX_[608] + vX_[9060] * vX_[607] +
+ vX_[9064] * vX_[469];
+ vX_[9361] = vX_[9331] * vX_[1687] + vX_[1690] * vX_[439] + vX_[9357] * -1 + vX_[9186] * vX_[5] +
+ vX_[9337] * vX_[1543] + vX_[9213] * vX_[10] + vX_[9328] * vX_[2916] + vX_[9361] * vX_[1882] +
+ vX_[9361] * vX_[1882] + vX_[469] * x_in[24];
+ vX_[9085] = vX_[9081] * 0.1104774 + vX_[9083] * 0.0004405 + vX_[9085] * 0.025941;
+ vX_[9337] = (0 - vX_[9070]) * -8.81e-05;
+ vX_[9351] = vX_[9337] + vX_[9351];
+ vX_[9089] = vX_[9070] * 0.0004405 + vX_[9081] * 8.81e-05 + vX_[9089] * 0.000468;
+ vX_[9351] = vX_[8684] * vX_[4114] + vX_[9244] * vX_[1617] + vX_[9348] * vX_[1305] + vX_[9085] * vX_[46] +
+ vX_[9351] * vX_[42] + vX_[9351] * vX_[42] + vX_[9089] * x_in[26];
+ vX_[9337] = vX_[9337] + vX_[9350];
+ vX_[9087] = vX_[9070] * -0.1104774 + vX_[9083] * -8.81e-05 + vX_[9087] * 0.026409;
+ vX_[9337] = vX_[8431] * vX_[4114] + vX_[559] * vX_[1931] + vX_[9349] * vX_[1305] + vX_[9085] * vX_[42] +
+ vX_[9337] * vX_[46] + vX_[9337] * vX_[46] - vX_[9087] * x_in[26];
+ vX_[9085] = vX_[9072] * 0.47422804 + vX_[9073] * -0.0825825 + vX_[9074] * 0.081641 + (0 - vX_[9069]) * 2.1e-05 +
+ vX_[9079] * 0.000102;
+ vX_[9349] = (0 - vX_[9074]) * 0.007418;
+ vX_[9356] = vX_[9354] + vX_[9349] - vX_[9356];
+ vX_[460] = vX_[9068] * vX_[415] + vX_[9072] * vX_[430] + vX_[9073] * vX_[420] + vX_[9069] * vX_[464] +
+ vX_[9079] * vX_[460];
+ vX_[9356] = vX_[9240] * -0.35 + vX_[9351] * vX_[395] + vX_[9337] * vX_[397] + vX_[9239] * vX_[4117] +
+ vX_[9201] * vX_[916] + vX_[9243] * vX_[1233] + vX_[9085] * vX_[15] + vX_[9356] * vX_[43] +
+ vX_[9356] * vX_[43] + vX_[460] * x_in[25];
+ vX_[9349] = vX_[9353] - vX_[9349] - vX_[9355];
+ vX_[458] = vX_[9068] * vX_[427] + vX_[9072] * vX_[431] + vX_[9073] * vX_[425] + vX_[9069] * vX_[458] +
+ vX_[9079] * vX_[464];
+ vX_[9349] = vX_[9351] * vX_[398] + vX_[9337] * vX_[395] + vX_[1140] * vX_[4117] + vX_[9329] * vX_[1145] +
+ vX_[8427] * vX_[1233] + vX_[9085] * vX_[43] + vX_[9349] * vX_[15] + vX_[9349] * vX_[15] -
+ vX_[458] * x_in[25];
+ vX_[9335] = vX_[9333] - vX_[9334] + vX_[9335];
+ vX_[9334] = vX_[1519] * 0.1466472 + vX_[1658] * 0.5824264 + vX_[9063] * -5.1e-05 + (0 - vX_[9060]) * -0.123672 +
+ (0 - vX_[9064]) * -3.6e-05;
+ vX_[9333] = vX_[9060] * -0.022734;
+ vX_[9359] = vX_[1698] - vX_[9359] - vX_[9333];
+ vX_[607] = vX_[1519] * vX_[443] + vX_[1618] * vX_[605] + vX_[1658] * vX_[554] + vX_[9060] * vX_[552] +
+ vX_[9064] * vX_[607];
+ vX_[9359] = vX_[9356] * vX_[433] + vX_[9349] * vX_[421] + vX_[9335] * vX_[5] + vX_[9191] * vX_[4129] +
+ vX_[9334] * vX_[10] + vX_[9328] * vX_[1882] + vX_[9359] * vX_[2916] + vX_[9359] * vX_[2916] -
+ vX_[607] * x_in[24];
+ vX_[9116] = vX_[9116] * vX_[2082];
+ vX_[9328] = vX_[9116] * vX_[395];
+ vX_[9117] = vX_[9117] * vX_[2082];
+ vX_[9191] = vX_[9117] * vX_[1702];
+ vX_[9118] = vX_[9118] * vX_[2082];
+ vX_[552] = 0 - vX_[9118];
+ vX_[9088] = vX_[9088] * vX_[2077];
+ vX_[1698] = vX_[9088] * vX_[395];
+ vX_[9085] = vX_[9088] * vX_[1702];
+ vX_[8427] = 0 - vX_[9085];
+ vX_[9104] = vX_[9104] * vX_[2089];
+ vX_[9329] = vX_[9104] * vX_[1702];
+ vX_[9092] = vX_[9092] * vX_[1911];
+ vX_[1140] = vX_[9092] * vX_[395];
+ vX_[9090] = vX_[9090] * vX_[2077];
+ vX_[4117] = vX_[9090] * vX_[395];
+ vX_[464] = vX_[9090] * vX_[1702];
+ vX_[9355] = vX_[9104] * vX_[395];
+ vX_[9105] = vX_[9105] * vX_[2089];
+ vX_[9353] = 0 - vX_[9105];
+ vX_[9243] = vX_[9353] * vX_[395];
+ vX_[9201] = vX_[9105] * vX_[1702];
+ vX_[9239] = vX_[9116] + vX_[9092];
+ vX_[9093] = vX_[9093] * vX_[1911];
+ vX_[9240] = 0 - vX_[9117] - vX_[9093];
+ vX_[9354] = vX_[9239] * vX_[1702] + vX_[9240] * vX_[395];
+ vX_[559] = vX_[9093] * vX_[1702];
+ vX_[9110] = vX_[9110] * vX_[2089] + vX_[9098] * vX_[2077];
+ vX_[9098] = 0 - vX_[9110];
+ vX_[8431] = 0 - vX_[9110];
+ vX_[4114] = vX_[8431] * vX_[395];
+ vX_[1305] = vX_[9110] * vX_[1702];
+ vX_[1830] = vX_[9111] * vX_[1830] + vX_[1555] * vX_[1782] + vX_[1549] * vX_[1814];
+ vX_[1814] = 0 - vX_[1830];
+ vX_[1920] = vX_[9111] * vX_[1920] + vX_[1555] * vX_[1815] + vX_[1549] * vX_[1776];
+ vX_[1776] = vX_[1814] * x_in[18] + vX_[1920] * x_in[19];
+ vX_[1815] = 0 - vX_[1776];
+ vX_[1782] = 0 - vX_[1776];
+ vX_[46] = vX_[1782] * vX_[395];
+ vX_[9083] = vX_[1776] * vX_[1702];
+ vX_[9111] = vX_[9111] * vX_[1812] + vX_[1555] * vX_[1831] + vX_[1549] * vX_[1921];
+ jac[935] = vX_[9332] * vX_[1708] + vX_[9330] * vX_[1145] + vX_[458] * vX_[2090] + vX_[460] * vX_[43] + vX_[9357] +
+ vX_[9111] * vX_[1835] + vX_[1830] * vX_[1788] + vX_[1920] * vX_[1821];
+ jac[971] = vX_[8716] * vX_[1739] + vX_[555] * vX_[1931] + vX_[9087] * vX_[6] + vX_[9089] * vX_[42] + vX_[9352] +
+ vX_[9111] * vX_[1845] + vX_[1830] * vX_[1799] + vX_[1920] * vX_[1818];
+ vX_[9087] = vX_[9111] * x_in[26];
+ vX_[9089] = vX_[9087] * vX_[395];
+ vX_[9352] = vX_[9087] * vX_[1702];
+ vX_[8716] = vX_[9111] * x_in[25];
+ vX_[555] = vX_[1830] * x_in[24];
+ vX_[1739] = 0 - vX_[555];
+ vX_[6] = vX_[8716] * vX_[395];
+ vX_[42] = 0 - vX_[555];
+ vX_[1931] = vX_[42] * vX_[395];
+ vX_[1845] = vX_[8716] * vX_[1702];
+ vX_[1818] = vX_[555] * vX_[1702];
+ vX_[1876] = vX_[9122] * vX_[1876];
+ vX_[1799] = 0 - vX_[1876];
+ vX_[458] = 0 - vX_[1876];
+ vX_[460] = vX_[458] * vX_[395];
+ vX_[9357] = vX_[1876] * vX_[1702];
+ vX_[9332] = 0 - vX_[9189];
+ vX_[9330] = 0 - vX_[509];
+ vX_[689] = 0 - vX_[689] + vX_[743];
+ vX_[743] = 0 - vX_[691];
+ vX_[624] = 0 - vX_[624];
+ vX_[9082] = vX_[9082] * vX_[2077];
+ vX_[1708] = vX_[9082] * vX_[1702];
+ vX_[9084] = vX_[9084] * vX_[2077];
+ vX_[2090] = 0 - vX_[9084];
+ vX_[1835] = vX_[2090] * vX_[395];
+ vX_[9086] = vX_[9086] * vX_[2077];
+ vX_[1821] = 0 - vX_[9086];
+ vX_[9103] = vX_[9103] * vX_[2089];
+ vX_[9119] = vX_[9119] * vX_[2082];
+ vX_[1788] = vX_[9119] * vX_[395];
+ vX_[1549] = vX_[9119] * vX_[1702];
+ vX_[9108] = vX_[9108] * vX_[2079];
+ vX_[1555] = vX_[9108] * vX_[1702];
+ vX_[9120] = vX_[9120] * vX_[2082];
+ vX_[1812] = vX_[9120] * vX_[395];
+ vX_[1921] = 0 - vX_[1812];
+ vX_[1831] = vX_[9120] * vX_[1702];
+ vX_[9109] = vX_[9109] * vX_[2079];
+ vX_[9070] = 0 - vX_[9109];
+ vX_[9350] = vX_[9070] * vX_[395];
+ vX_[9348] = vX_[9082] + vX_[9108];
+ vX_[9109] = vX_[9084] + vX_[9109];
+ vX_[9084] = vX_[9348] * vX_[395] + vX_[9109] * vX_[1702];
+ vX_[9106] = vX_[9106] * vX_[2089] + vX_[9097] * vX_[2082];
+ vX_[9097] = 0 - vX_[9106];
+ vX_[9244] = 0 - vX_[9106];
+ vX_[8684] = vX_[9244] * vX_[395];
+ vX_[1617] = vX_[9106] * vX_[1702];
+ vX_[9081] = 0 - vX_[1920];
+ vX_[9362] = vX_[9111] * x_in[18] + vX_[9081] * x_in[20];
+ vX_[9363] = 0 - vX_[9362];
+ vX_[9364] = vX_[9362] * vX_[1702];
+ vX_[9365] = vX_[9111] * x_in[24];
+ vX_[9366] = vX_[9365] * vX_[1702];
+ vX_[9367] = vX_[1830] * x_in[26];
+ vX_[9368] = vX_[9367] * vX_[395];
+ vX_[9369] = vX_[9367] * vX_[1702];
+ vX_[9370] = vX_[1830] * x_in[25];
+ vX_[9371] = vX_[9365] * vX_[395];
+ vX_[9372] = vX_[9370] * vX_[395];
+ vX_[9373] = vX_[9370] * vX_[1702];
+ vX_[1866] = vX_[9122] * vX_[1866];
+ vX_[9374] = 0 - vX_[1866];
+ vX_[9375] = 0 - vX_[9362];
+ vX_[9376] = 0 - vX_[1866];
+ vX_[9377] = vX_[9375] * vX_[395] + vX_[9376] * vX_[395];
+ vX_[9378] = vX_[1866] * vX_[1702];
+ jac[251] =
+ 0 -
+ (0 - (vX_[8845] * vX_[4135] + vX_[9210] * x_in[22]) +
+ (vX_[8837] * vX_[4135] + vX_[8857] * vX_[487] + vX_[9210] * x_in[20]) * -0.3735 -
+ (vX_[8847] * vX_[3739] + vX_[9339] * x_in[23]) + (vX_[8832] * vX_[3739] + vX_[9339] * x_in[19]) * 0.3735 +
+ (vX_[8863] * vX_[3739] +
+ (vX_[722] * vX_[556] + vX_[691] * vX_[611] + vX_[9340] * vX_[500] + vX_[736] * vX_[502] +
+ vX_[9189] * vX_[472] + vX_[509] * vX_[481] + vX_[9342] * vX_[484] + vX_[9343] * vX_[501] +
+ vX_[9208] * vX_[490] + vX_[8705] * vX_[554] + vX_[691] * vX_[608] + vX_[1763] * vX_[443] +
+ vX_[618] * vX_[561]) *
+ -1 +
+ vX_[9339] * x_in[18]) *
+ -0.207 -
+ (vX_[8837] * vX_[1456] + vX_[8832] * vX_[1893] + vX_[1426] * vX_[719] + vX_[8860] * vX_[717] +
+ vX_[723] * vX_[715] + vX_[590] * vX_[688] + vX_[637] * vX_[490] + vX_[620] * vX_[696] +
+ vX_[9344] * vX_[695] + vX_[9347] * vX_[472] + vX_[8284] * vX_[680] + vX_[8426] * vX_[658] +
+ vX_[8848] * vX_[508] + vX_[712] * vX_[498] + vX_[8851] * vX_[681] + vX_[8852] * vX_[661] +
+ vX_[8276] * vX_[659] + vX_[8855] * vX_[610] + vX_[8419] * vX_[660] + vX_[8854] * vX_[657] +
+ vX_[8713] * vX_[497] + vX_[9184] * vX_[507] + vX_[510] * vX_[617] + vX_[628] * vX_[615] +
+ vX_[518] * vX_[613] + vX_[662] * vX_[634] + vX_[9205] * vX_[635] + vX_[690] * vX_[562] +
+ vX_[636] * vX_[558] + vX_[668] * vX_[612] + vX_[8857] * vX_[488] + vX_[9361] * x_in[19] +
+ vX_[9359] * x_in[20]) +
+ vX_[9071] * vX_[2077] + vX_[9107] * vX_[2079] + vX_[9328] * vX_[394] + vX_[9191] * vX_[394] +
+ vX_[552] * vX_[394] * 0.35 + vX_[9118] * 0.3735 + vX_[1698] * 0.35 + vX_[1698] * vX_[421] * 0.08 +
+ vX_[1698] * vX_[394] * -0.3735 + vX_[8427] * vX_[421] * 0.3735 + vX_[9085] * vX_[394] * -0.08 +
+ vX_[9329] * vX_[421] * 0.207 + vX_[1140] * vX_[394] + vX_[4117] * vX_[421] * 0.3735 +
+ vX_[4117] * vX_[394] * 0.08 + vX_[464] * 0.35 + vX_[464] * vX_[394] * -0.3735 +
+ (vX_[9355] * vX_[394] + vX_[9243] * vX_[421]) * 0.207 + vX_[9201] * vX_[394] * 0.207 +
+ vX_[9354] * vX_[421] + vX_[559] * vX_[394] + (vX_[464] * vX_[421] - vX_[9110]) * 0.08 +
+ vX_[9098] * vX_[421] * 0.35 + vX_[4114] * vX_[421] * 0.33 + vX_[1305] * vX_[394] * 0.33 +
+ (0 - vX_[1776]) * 0.08 + vX_[1815] * vX_[421] * 0.35 + vX_[46] * vX_[421] * 0.33 +
+ vX_[9083] * vX_[394] * 0.33 + vX_[9089] * vX_[394] * 0.33 + vX_[9352] * vX_[421] * 0.33 +
+ vX_[8716] * vX_[394] * 0.35 + (0 - vX_[555]) * 0.08 + vX_[1739] * vX_[421] * 0.35 +
+ (vX_[6] * vX_[394] + vX_[1931] * vX_[421]) * 0.33 + (vX_[1845] * vX_[421] + vX_[1818] * vX_[394]) * 0.33 +
+ (0 - vX_[1876]) * 0.08 + vX_[1799] * vX_[421] * 0.35 + vX_[460] * vX_[421] * 0.33 +
+ vX_[9357] * vX_[394] * 0.33) *
+ vX_[3290] +
+ (vX_[8847] * vX_[4135] + vX_[8837] * vX_[1893] + vX_[1426] * vX_[715] + vX_[590] * vX_[490] +
+ vX_[9345] * vX_[695] + vX_[620] * vX_[472] + vX_[8426] * vX_[661] + vX_[8848] * vX_[498] +
+ vX_[8851] * vX_[680] + vX_[8276] * vX_[660] + vX_[8855] * vX_[657] + vX_[8713] * vX_[507] +
+ vX_[510] * vX_[613] + vX_[662] * vX_[635] + vX_[619] * vX_[558] + vX_[690] * vX_[612] +
+ (vX_[9182] * vX_[609] + vX_[667] * vX_[452] + vX_[602] * vX_[502] + vX_[9341] * vX_[476] +
+ vX_[721] * vX_[491] + vX_[9332] * vX_[475] + vX_[8858] * vX_[484] + vX_[9330] * vX_[472] +
+ vX_[8861] * vX_[490] + vX_[689] * vX_[501] + vX_[9182] * vX_[605] + vX_[743] * vX_[553] +
+ vX_[602] * vX_[506] + vX_[721] * vX_[550]) *
+ 0.207 +
+ vX_[9210] * x_in[23] + vX_[9361] * x_in[20] +
+ (vX_[8832] * vX_[4135] + vX_[8857] * vX_[485] + vX_[9210] * x_in[19]) * -0.3735 +
+ (vX_[8863] * vX_[4135] + vX_[9210] * x_in[18]) * 0.207 - (vX_[8845] * vX_[3739] + vX_[9339] * x_in[22]) +
+ (vX_[8837] * vX_[3739] + vX_[9339] * x_in[20]) * -0.3735 -
+ (vX_[8832] * vX_[1456] + vX_[8860] * vX_[716] + vX_[723] * vX_[719] + vX_[624] * vX_[688] +
+ vX_[9344] * vX_[472] + vX_[9346] * vX_[696] + vX_[8284] * vX_[681] + vX_[712] * vX_[508] +
+ vX_[8852] * vX_[658] + vX_[8419] * vX_[659] + vX_[8854] * vX_[610] + vX_[9184] * vX_[497] +
+ vX_[628] * vX_[614] + vX_[518] * vX_[617] + vX_[8689] * vX_[634] + vX_[636] * vX_[612] +
+ vX_[666] * vX_[562] + vX_[8857] * vX_[486] + vX_[9359] * x_in[19]) -
+ vX_[9115] * vX_[2082] + vX_[1708] * vX_[421] + vX_[1835] * vX_[421] + vX_[1821] * vX_[394] * 0.35 +
+ vX_[9086] * 0.3735 + (0 - vX_[9103]) * 0.207 - vX_[9091] * vX_[1911] + (0 - vX_[1788]) * 0.35 +
+ (0 - vX_[1788] * vX_[421]) * 0.08 + vX_[1788] * vX_[394] * 0.3735 + vX_[1549] * vX_[421] * 0.3735 +
+ vX_[1549] * vX_[394] * 0.08 + vX_[1555] * vX_[421] + vX_[1921] * vX_[421] * 0.3735 +
+ (0 - vX_[1812] * vX_[394]) * 0.08 + (0 - vX_[1831]) * 0.35 + (0 - vX_[1831] * vX_[421]) * 0.08 +
+ vX_[1831] * vX_[394] * 0.3735 + vX_[9350] * vX_[421] + vX_[9084] * vX_[394] + (0 - vX_[9106]) * 0.08 +
+ vX_[9097] * vX_[421] * 0.35 + vX_[8684] * vX_[421] * 0.33 + vX_[1617] * vX_[394] * 0.33 +
+ (0 - vX_[9362]) * 0.08 + vX_[9363] * vX_[421] * 0.35 + vX_[9364] * vX_[394] * 0.33 + vX_[9365] * 0.08 +
+ vX_[9365] * vX_[421] * 0.35 + vX_[9366] * vX_[394] * -0.33 + vX_[9368] * vX_[394] * 0.33 +
+ vX_[9369] * vX_[421] * 0.33 + vX_[9370] * vX_[394] * 0.35 +
+ (vX_[9371] * vX_[421] + vX_[9372] * vX_[394]) * 0.33 + vX_[9373] * vX_[421] * 0.33 +
+ (0 - vX_[1866]) * 0.08 + vX_[9374] * vX_[421] * 0.35 + vX_[9377] * vX_[421] * 0.33 +
+ vX_[9378] * vX_[394] * 0.33) *
+ vX_[3018];
+ vX_[2930] = vX_[740] + vX_[2930] * vX_[473] + vX_[3338] * vX_[487];
+ vX_[2929] = vX_[740] + vX_[3340] * vX_[487] + vX_[2929] * vX_[485];
+ vX_[3426] = vX_[1768] + vX_[1753] + vX_[740] - vX_[2930] - vX_[2929] + vX_[656] * vX_[474] + vX_[3426] * vX_[393];
+ vX_[2929] = vX_[2929] + vX_[1441] * vX_[393] + vX_[3557] * vX_[489] + vX_[1675] * vX_[4124];
+ vX_[1441] = vX_[3426] - vX_[2929];
+ vX_[3341] = vX_[3343] * vX_[473] + vX_[3341] * vX_[487] + vX_[3735] * vX_[489] + vX_[390] * vX_[474] +
+ vX_[3674] * vX_[393] + vX_[1668] * vX_[4124];
+ vX_[3674] = vX_[1441] * vX_[421] + vX_[3341] * vX_[433];
+ vX_[390] = vX_[1441] * vX_[394] + vX_[3341] * vX_[421];
+ vX_[3725] = vX_[1591] + vX_[3725] * vX_[393] + vX_[3693] * vX_[474] * 2. + vX_[1668] * vX_[4121];
+ vX_[1591] = 0 - vX_[3341];
+ vX_[3280] = 0 - (vX_[3340] * vX_[473] + vX_[3338] * vX_[485] + vX_[3335] * vX_[487] + vX_[1413] * vX_[393] +
+ vX_[3280] * vX_[474] + vX_[3666] * vX_[489] + vX_[1666] * vX_[4124] + vX_[1675] * vX_[4133]);
+ vX_[3335] = 0 - vX_[2929];
+ vX_[3718] =
+ vX_[3676] + vX_[3718] * vX_[393] + vX_[3657] * vX_[489] * 2. + vX_[1675] * vX_[4121] + vX_[1678] * vX_[4124];
+ vX_[3657] = 0 - vX_[3718];
+ vX_[3662] = vX_[3411] + vX_[3672] * vX_[393] + vX_[3662] * vX_[489] + vX_[1675] * vX_[4134] + vX_[1680] * vX_[4124];
+ vX_[3411] = 0 - vX_[3662];
+ vX_[3672] = (vX_[3335] * vX_[434] + vX_[3657] * vX_[496] + vX_[3411] * vX_[505]) * 1 / vX_[470];
+ vX_[3335] = vX_[1676] * vX_[2081] + vX_[1591] * vX_[483] + vX_[3280] * vX_[471] + vX_[3335] * vX_[499] + vX_[3672];
+ vX_[1431] = vX_[650] + vX_[3700] * vX_[474] + vX_[1431] * vX_[393] * 2. + vX_[1668] * vX_[4134];
+ vX_[3426] = 0 - vX_[3426];
+ vX_[2934] = 0 - (0 - (vX_[3343] * vX_[487] + vX_[2934] * vX_[485]) + vX_[3686] * vX_[489] + vX_[3442] * vX_[393] +
+ vX_[4100] * vX_[474] + vX_[1668] * vX_[4133]);
+ vX_[4100] = 0 - vX_[3725];
+ vX_[3343] = 0 - vX_[1431];
+ vX_[1591] = (vX_[3426] * vX_[482] + vX_[2934] * vX_[444] + vX_[1591] * vX_[434] + vX_[4100] * vX_[496] +
+ vX_[3343] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[3426] = vX_[1669] * vX_[2081] + vX_[3426] * vX_[483] + vX_[1591];
+ vX_[3442] = vX_[3335] * vX_[433] + vX_[3426] * vX_[421];
+ vX_[3686] = vX_[3335] * vX_[421] + vX_[3426] * vX_[394];
+ vX_[650] = vX_[1431] * vX_[421] + vX_[3662] * vX_[433];
+ vX_[3676] = vX_[1431] * vX_[394] + vX_[3662] * vX_[421];
+ vX_[3665] =
+ vX_[272] + vX_[3665] * vX_[474] + vX_[3696] * vX_[489] * 2. + vX_[1666] * vX_[4134] + vX_[1680] * vX_[4133];
+ vX_[272] = vX_[3718] - vX_[3665];
+ vX_[2930] = 0 - (vX_[2930] + vX_[3285] * vX_[474] + vX_[3675] * vX_[489] + vX_[1666] * vX_[4133]);
+ vX_[3670] =
+ 0 - (vX_[3670] + vX_[3738] * vX_[474] + vX_[3700] * vX_[489] + vX_[1666] * vX_[4121] + vX_[1678] * vX_[4133]);
+ vX_[3665] = 0 - vX_[3665];
+ vX_[3280] =
+ (vX_[2930] * vX_[444] + vX_[3280] * vX_[434] + vX_[3670] * vX_[496] + vX_[3665] * vX_[505]) * 1 / vX_[470];
+ vX_[2930] = 0 - vX_[3725] + vX_[1670] * vX_[2081] + vX_[2934] * vX_[483] + vX_[2930] * vX_[471] + vX_[3280];
+ vX_[3696] = vX_[3696] + vX_[1680] * vX_[4134];
+ vX_[3693] = vX_[3693] + vX_[1678] * vX_[4121];
+ vX_[2934] = 0 - vX_[3693];
+ vX_[3700] = vX_[3700] + vX_[1678] * vX_[4134] + vX_[1680] * vX_[4121];
+ vX_[3738] = 0 - vX_[3700];
+ vX_[1666] = (vX_[2934] * vX_[496] + vX_[3738] * vX_[505]) * 1 / vX_[470];
+ vX_[3285] = 0 - vX_[3696];
+ vX_[3675] = vX_[3285] * vX_[505] * 1 / vX_[470];
+ vX_[3280] = 0 - vX_[1669] * vX_[1449] - vX_[1670] * vX_[4127] - vX_[1676] * vX_[14] - vX_[1677] * vX_[1343] +
+ vX_[1677] * vX_[2081] - vX_[1679] * vX_[1743] - vX_[1681] * vX_[4106] - vX_[1591] * vX_[483] -
+ vX_[3280] * vX_[471] - vX_[3672] * vX_[499] - vX_[1666] * vX_[551] - vX_[3675] * vX_[560];
+ vX_[1591] = 0 - vX_[3696] + vX_[3280];
+ vX_[3675] = vX_[1681] * vX_[2081] + vX_[3343] * vX_[483] + vX_[3665] * vX_[471] + vX_[3411] * vX_[499] +
+ vX_[3738] * vX_[551] + vX_[3285] * vX_[560] + vX_[3675];
+ vX_[1666] = vX_[1679] * vX_[2081] + vX_[4100] * vX_[483] + vX_[3670] * vX_[471] + vX_[3657] * vX_[499] +
+ vX_[2934] * vX_[551] + vX_[1666];
+ vX_[2934] = vX_[1591] * vX_[421] + vX_[3675] * vX_[433];
+ vX_[3670] = vX_[1591] * vX_[394] + vX_[3675] * vX_[421];
+ vX_[4100] = vX_[2934] * vX_[394] + vX_[3670] * vX_[421];
+ vX_[3657] = vX_[3696] + vX_[2934] * vX_[421];
+ vX_[1679] = vX_[3696] + vX_[3670] * vX_[394];
+ vX_[3280] = vX_[3693] + vX_[3696] + vX_[3280] - vX_[3657] - vX_[1679];
+ vX_[3693] = 0 - vX_[3280];
+ vX_[3696] = (vX_[3725] * vX_[421] + vX_[3718] * vX_[433]) * -1;
+ vX_[3285] = vX_[3696] + vX_[3693] * vX_[435];
+ vX_[3738] = 0 - vX_[3285];
+ vX_[3696] = 0 - (vX_[272] * vX_[394] + vX_[2930] * vX_[421]) + vX_[3696];
+ vX_[3665] = (vX_[3725] * vX_[394] + vX_[3718] * vX_[421]) * -1;
+ vX_[3343] = vX_[3665] + vX_[3280] * vX_[440];
+ vX_[3411] = 0 - vX_[3343];
+ vX_[1681] = 0 - (vX_[3700] * vX_[394] + vX_[1666] * vX_[421]) + vX_[3700] * vX_[433] * -1 * 2.;
+ vX_[3672] = 0 - vX_[1681];
+ vX_[1677] = vX_[3700] * vX_[421] + vX_[1666] * vX_[433] + vX_[3700] * vX_[421] * -1 * 2.;
+ vX_[1676] = 0 - vX_[1677];
+ vX_[1890] = vX_[1890] * vX_[2089];
+ vX_[1889] = vX_[1889] * vX_[2089] + vX_[1748] * vX_[1761];
+ vX_[1748] = 0 - vX_[1889];
+ vX_[1750] = vX_[1750] * vX_[1761];
+ vX_[1964] = vX_[1744] * vX_[2077] + vX_[1964] * vX_[2082];
+ vX_[1744] = 0 - vX_[1918];
+ vX_[1670] = vX_[1744] * x_in[19] + vX_[3311] * x_in[20];
+ vX_[1669] = vX_[3301] * x_in[26];
+ vX_[3338] = 0 - vX_[1669];
+ vX_[3340] = vX_[3301] * x_in[25];
+ vX_[1413] = 0 - vX_[3340];
+ vX_[1965] = vX_[1965] * vX_[1872];
+ vX_[3666] = sin(x_in[7]);
+ vX_[3735] = 0 - vX_[1679];
+ vX_[3665] = vX_[272] * vX_[421] + vX_[2930] * vX_[433] + vX_[3665];
+ vX_[3557] = 0 - vX_[4100];
+ vX_[656] = 0 - vX_[1679];
+ vX_[9086] = 0 - vX_[1890] - vX_[1750];
+ vX_[9118] = 0 - vX_[1964];
+ vX_[723] = 0 - vX_[1670];
+ vX_[8860] = 0 - vX_[1965];
+ vX_[1426] = cos(x_in[7]);
+ jac[270] =
+ 0 -
+ (vX_[1668] * vX_[1732] + vX_[1675] * vX_[1723] + vX_[1667] * vX_[1940] + vX_[1680] * vX_[831] +
+ vX_[1441] * vX_[480] + vX_[3341] * vX_[478] + vX_[3674] * vX_[479] + vX_[390] * vX_[449] +
+ vX_[3725] * vX_[437] + vX_[3335] * vX_[426] + vX_[1431] * vX_[503] + vX_[3718] * vX_[492] +
+ vX_[3426] * vX_[432] + vX_[3662] * vX_[504] + vX_[3442] * vX_[431] + vX_[3686] * vX_[425] +
+ vX_[650] * vX_[430] + vX_[3676] * vX_[420] + vX_[272] * vX_[442] + vX_[2930] * vX_[438] +
+ vX_[1591] * vX_[468] + vX_[3675] * vX_[466] + vX_[3700] * vX_[606] + vX_[3700] * vX_[493] +
+ vX_[1666] * vX_[495] + vX_[2934] * vX_[417] + vX_[3670] * vX_[465] +
+ (vX_[4100] * vX_[441] + vX_[3693] * vX_[451] + vX_[3657] * vX_[436] + vX_[3738] * vX_[447] +
+ (vX_[3696] + vX_[3657] * vX_[435]) * 4.027 + vX_[3411] * vX_[449] + vX_[3672] * vX_[431] +
+ vX_[1676] * vX_[430] + vX_[4100] * vX_[415] + vX_[3657] * vX_[467]) *
+ -0.08 +
+ vX_[3572] * vX_[5] + vX_[3571] * vX_[1543] + vX_[3224] * vX_[10] + vX_[3336] * vX_[2916] +
+ (vX_[1678] * vX_[1732] + vX_[3572] * vX_[1882]) * -0.08 + vX_[3078] * vX_[473] + vX_[3281] * vX_[473] -
+ vX_[1890] * vX_[1702] + vX_[1892] * 0.35 + vX_[3262] * vX_[1952] + vX_[3273] * vX_[1950] +
+ vX_[3697] * vX_[1720] + vX_[1710] * vX_[1718] + vX_[3332] * vX_[1895] + vX_[3270] * vX_[473] +
+ vX_[1748] * vX_[395] + vX_[3253] * vX_[1961] + vX_[3269] * vX_[1957] + vX_[1742] * vX_[1730] +
+ vX_[1858] * vX_[1726] + vX_[2083] * vX_[1897] + vX_[3325] * vX_[391] + vX_[3259] * vX_[473] -
+ vX_[1750] * vX_[1702] + vX_[1755] * vX_[1760] + vX_[1699] * vX_[1758] + vX_[1754] * vX_[1910] +
+ vX_[3260] * vX_[1908] + vX_[1964] * vX_[1702] * -0.33 + vX_[3310] * vX_[1807] + vX_[3293] * vX_[1805] +
+ vX_[3239] * vX_[1826] + vX_[1670] * vX_[1702] * -0.33 + vX_[3319] * vX_[1841] + vX_[3570] * vX_[1789] +
+ vX_[3238] * vX_[1839] + vX_[3165] * vX_[1783] + vX_[3166] * vX_[1795] + vX_[3105] * vX_[1785] +
+ vX_[3322] * vX_[1793] + vX_[3588] * vX_[1791] + vX_[3338] * vX_[395] * 0.33 + (0 - vX_[3340]) * 0.35 +
+ vX_[1413] * vX_[395] * 0.33 + vX_[3294] * vX_[1881] + vX_[3287] * vX_[1879] + vX_[3093] * vX_[1869] +
+ vX_[3037] * vX_[1824] + vX_[1965] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[1668] * vX_[1723] + vX_[1667] * vX_[831] + vX_[1441] * vX_[478] + vX_[3674] * vX_[449] +
+ vX_[390] * vX_[477] + vX_[3725] * vX_[492] + vX_[1431] * vX_[504] + vX_[3426] * vX_[426] +
+ vX_[3442] * vX_[430] + vX_[3686] * vX_[420] + vX_[272] * vX_[438] + vX_[1591] * vX_[466] +
+ vX_[3700] * vX_[495] + vX_[2934] * vX_[465] + vX_[3670] * vX_[462] + vX_[3571] * vX_[5] +
+ vX_[3336] * vX_[10] - (vX_[1675] * vX_[1732] + vX_[3572] * vX_[1543]) +
+ (vX_[1678] * vX_[1723] +
+ (vX_[3280] * vX_[450] + vX_[3735] * vX_[441] + vX_[3285] * vX_[449] + vX_[3343] * vX_[448] +
+ (0 - (vX_[3665] + vX_[4100] * vX_[435] + vX_[3735] * vX_[440])) * 4.027 + vX_[1681] * vX_[425] +
+ vX_[1677] * vX_[420] + vX_[3557] * vX_[427] + vX_[656] * vX_[461]) *
+ -1 +
+ vX_[3571] * vX_[1882]) *
+ -0.08 -
+ (vX_[1680] * vX_[1940] + vX_[3341] * vX_[480] + vX_[3335] * vX_[432] + vX_[3718] * vX_[437] +
+ vX_[3662] * vX_[503] + vX_[650] * vX_[431] + vX_[3676] * vX_[425] + vX_[2930] * vX_[442] +
+ vX_[3675] * vX_[468] + vX_[3700] * vX_[494] + vX_[1666] * vX_[493] + vX_[3224] * vX_[2916]) +
+ vX_[3589] * vX_[391] + vX_[1923] * vX_[391] + vX_[1711] * vX_[1946] + vX_[3272] * vX_[1713] +
+ vX_[3262] * vX_[1953] + vX_[3273] * vX_[1949] + vX_[3697] * vX_[1721] + vX_[3584] * vX_[1717] +
+ vX_[4137] * vX_[1897] + vX_[1705] * vX_[391] + vX_[1889] * vX_[1702] + vX_[3266] * vX_[1960] +
+ vX_[3269] * vX_[1958] + vX_[1742] * vX_[1729] + vX_[1858] * vX_[1727] + vX_[1706] * vX_[1901] +
+ vX_[1749] * vX_[391] + vX_[1707] * vX_[473] + vX_[9086] * vX_[395] + vX_[3298] * vX_[1756] +
+ vX_[3256] * vX_[1906] + (0 - vX_[1964]) * 0.35 + vX_[9118] * vX_[395] * 0.33 + vX_[3283] * vX_[1803] +
+ vX_[3255] * vX_[1822] + (0 - vX_[1670]) * 0.35 + vX_[723] * vX_[395] * 0.33 + vX_[1724] * vX_[1843] +
+ vX_[1737] * vX_[1834] + vX_[3327] * vX_[1791] + vX_[3183] * vX_[1837] + vX_[3164] * vX_[1797] +
+ vX_[3182] * vX_[1787] + vX_[3110] * vX_[1783] + vX_[2092] * vX_[1789] + vX_[1669] * vX_[1702] * 0.33 +
+ vX_[3340] * vX_[1702] * 0.33 + vX_[3277] * vX_[1877] + vX_[3032] * vX_[1867] + (0 - vX_[1965]) * 0.35 +
+ vX_[8860] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[8938] = vX_[2121] + vX_[8938] * vX_[473] + vX_[8922] * vX_[487];
+ vX_[8921] = vX_[2121] + vX_[8920] * vX_[487] + vX_[8921] * vX_[485];
+ vX_[8998] = vX_[3668] + vX_[708] + vX_[2121] - vX_[8938] - vX_[8921] + vX_[2129] * vX_[474] + vX_[8998] * vX_[393];
+ vX_[8921] = vX_[8921] + vX_[1639] * vX_[393] + vX_[1573] * vX_[489] + vX_[2359] * vX_[4124];
+ vX_[1639] = vX_[8998] - vX_[8921];
+ vX_[8934] = vX_[8985] * vX_[473] + vX_[8934] * vX_[487] + vX_[2935] * vX_[489] + vX_[2132] * vX_[474] +
+ vX_[950] * vX_[393] + vX_[2353] * vX_[4124];
+ vX_[950] = vX_[1639] * vX_[421] + vX_[8934] * vX_[433];
+ vX_[2132] = vX_[1639] * vX_[394] + vX_[8934] * vX_[421];
+ vX_[2933] = vX_[683] + vX_[2933] * vX_[393] + vX_[1251] * vX_[474] * 2. + vX_[2353] * vX_[4121];
+ vX_[683] = 0 - vX_[8934];
+ vX_[8758] = 0 - (vX_[8920] * vX_[473] + vX_[8922] * vX_[485] + vX_[8808] * vX_[487] + vX_[3019] * vX_[393] +
+ vX_[8758] * vX_[474] + vX_[844] * vX_[489] + vX_[2325] * vX_[4124] + vX_[2359] * vX_[4133]);
+ vX_[8808] = 0 - vX_[8921];
+ vX_[1457] =
+ vX_[832] + vX_[1457] * vX_[393] + vX_[1971] * vX_[489] * 2. + vX_[2359] * vX_[4121] + vX_[2362] * vX_[4124];
+ vX_[1971] = 0 - vX_[1457];
+ vX_[947] = vX_[1932] + vX_[936] * vX_[393] + vX_[947] * vX_[489] + vX_[2359] * vX_[4134] + vX_[2364] * vX_[4124];
+ vX_[1932] = 0 - vX_[947];
+ vX_[936] = (vX_[8808] * vX_[434] + vX_[1971] * vX_[496] + vX_[1932] * vX_[505]) * 1 / vX_[470];
+ vX_[8808] = vX_[2360] * vX_[2081] + vX_[683] * vX_[483] + vX_[8758] * vX_[471] + vX_[8808] * vX_[499] + vX_[936];
+ vX_[3728] = vX_[2130] + vX_[1536] * vX_[474] + vX_[3728] * vX_[393] * 2. + vX_[2353] * vX_[4134];
+ vX_[8998] = 0 - vX_[8998];
+ vX_[1002] = 0 - (0 - (vX_[8985] * vX_[487] + vX_[1002] * vX_[485]) + vX_[1257] * vX_[489] + vX_[8984] * vX_[393] +
+ vX_[2046] * vX_[474] + vX_[2353] * vX_[4133]);
+ vX_[2046] = 0 - vX_[2933];
+ vX_[8985] = 0 - vX_[3728];
+ vX_[683] = (vX_[8998] * vX_[482] + vX_[1002] * vX_[444] + vX_[683] * vX_[434] + vX_[2046] * vX_[496] +
+ vX_[8985] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[8998] = vX_[2357] * vX_[2081] + vX_[8998] * vX_[483] + vX_[683];
+ vX_[8984] = vX_[8808] * vX_[433] + vX_[8998] * vX_[421];
+ vX_[1257] = vX_[8808] * vX_[421] + vX_[8998] * vX_[394];
+ vX_[2130] = vX_[3728] * vX_[421] + vX_[947] * vX_[433];
+ vX_[832] = vX_[3728] * vX_[394] + vX_[947] * vX_[421];
+ vX_[946] =
+ vX_[2133] + vX_[946] * vX_[474] + vX_[1193] * vX_[489] * 2. + vX_[2325] * vX_[4134] + vX_[2364] * vX_[4133];
+ vX_[2133] = vX_[1457] - vX_[946];
+ vX_[8938] = 0 - (vX_[8938] + vX_[8763] * vX_[474] + vX_[876] * vX_[489] + vX_[2325] * vX_[4133]);
+ vX_[925] =
+ 0 - (vX_[925] + vX_[2932] * vX_[474] + vX_[1536] * vX_[489] + vX_[2325] * vX_[4121] + vX_[2362] * vX_[4133]);
+ vX_[946] = 0 - vX_[946];
+ vX_[8758] =
+ (vX_[8938] * vX_[444] + vX_[8758] * vX_[434] + vX_[925] * vX_[496] + vX_[946] * vX_[505]) * 1 / vX_[470];
+ vX_[8938] = 0 - vX_[2933] + vX_[2358] * vX_[2081] + vX_[1002] * vX_[483] + vX_[8938] * vX_[471] + vX_[8758];
+ vX_[1193] = vX_[1193] + vX_[2364] * vX_[4134];
+ vX_[1251] = vX_[1251] + vX_[2362] * vX_[4121];
+ vX_[1002] = 0 - vX_[1251];
+ vX_[1536] = vX_[1536] + vX_[2362] * vX_[4134] + vX_[2364] * vX_[4121];
+ vX_[2932] = 0 - vX_[1536];
+ vX_[2325] = (vX_[1002] * vX_[496] + vX_[2932] * vX_[505]) * 1 / vX_[470];
+ vX_[8763] = 0 - vX_[1193];
+ vX_[876] = vX_[8763] * vX_[505] * 1 / vX_[470];
+ vX_[8758] = 0 - vX_[2357] * vX_[1449] - vX_[2358] * vX_[4127] - vX_[2360] * vX_[14] - vX_[2361] * vX_[1343] +
+ vX_[2361] * vX_[2081] - vX_[2363] * vX_[1743] - vX_[2365] * vX_[4106] - vX_[683] * vX_[483] -
+ vX_[8758] * vX_[471] - vX_[936] * vX_[499] - vX_[2325] * vX_[551] - vX_[876] * vX_[560];
+ vX_[683] = 0 - vX_[1193] + vX_[8758];
+ vX_[876] = vX_[2365] * vX_[2081] + vX_[8985] * vX_[483] + vX_[946] * vX_[471] + vX_[1932] * vX_[499] +
+ vX_[2932] * vX_[551] + vX_[8763] * vX_[560] + vX_[876];
+ vX_[2325] = vX_[2363] * vX_[2081] + vX_[2046] * vX_[483] + vX_[925] * vX_[471] + vX_[1971] * vX_[499] +
+ vX_[1002] * vX_[551] + vX_[2325];
+ vX_[1002] = vX_[683] * vX_[421] + vX_[876] * vX_[433];
+ vX_[925] = vX_[683] * vX_[394] + vX_[876] * vX_[421];
+ vX_[2046] = vX_[1002] * vX_[394] + vX_[925] * vX_[421];
+ vX_[1971] = vX_[1193] + vX_[1002] * vX_[421];
+ vX_[2363] = vX_[1193] + vX_[925] * vX_[394];
+ vX_[8758] = vX_[1251] + vX_[1193] + vX_[8758] - vX_[1971] - vX_[2363];
+ vX_[1251] = 0 - vX_[8758];
+ vX_[1193] = (vX_[2933] * vX_[421] + vX_[1457] * vX_[433]) * -1;
+ vX_[8763] = vX_[1193] + vX_[1251] * vX_[435];
+ vX_[2932] = 0 - vX_[8763];
+ vX_[1193] = 0 - (vX_[2133] * vX_[394] + vX_[8938] * vX_[421]) + vX_[1193];
+ vX_[946] = (vX_[2933] * vX_[394] + vX_[1457] * vX_[421]) * -1;
+ vX_[8985] = vX_[946] + vX_[8758] * vX_[440];
+ vX_[1932] = 0 - vX_[8985];
+ vX_[2365] = 0 - (vX_[1536] * vX_[394] + vX_[2325] * vX_[421]) + vX_[1536] * vX_[433] * -1 * 2.;
+ vX_[936] = 0 - vX_[2365];
+ vX_[2361] = vX_[1536] * vX_[421] + vX_[2325] * vX_[433] + vX_[1536] * vX_[421] * -1 * 2.;
+ vX_[2360] = 0 - vX_[2361];
+ vX_[2400] = vX_[2400] * vX_[2089];
+ vX_[2399] = vX_[2399] * vX_[2089] + vX_[2393] * vX_[1761];
+ vX_[2393] = 0 - vX_[2399];
+ vX_[2394] = vX_[2394] * vX_[1761];
+ vX_[2419] = vX_[2392] * vX_[2077] + vX_[2419] * vX_[2082];
+ vX_[2392] = 0 - vX_[2409];
+ vX_[2358] = vX_[2392] * x_in[19] + vX_[8784] * x_in[20];
+ vX_[2357] = vX_[8774] * x_in[26];
+ vX_[8922] = 0 - vX_[2357];
+ vX_[8920] = vX_[8774] * x_in[25];
+ vX_[3019] = 0 - vX_[8920];
+ vX_[2420] = vX_[2420] * vX_[1872];
+ vX_[844] = 0 - vX_[2363];
+ vX_[946] = vX_[2133] * vX_[421] + vX_[8938] * vX_[433] + vX_[946];
+ vX_[2935] = 0 - vX_[2046];
+ vX_[1573] = 0 - vX_[2363];
+ vX_[2129] = 0 - vX_[2400] - vX_[2394];
+ vX_[3735] = 0 - vX_[2419];
+ vX_[3693] = 0 - vX_[2358];
+ vX_[3280] = 0 - vX_[2420];
+ jac[271] =
+ 0 -
+ (vX_[2353] * vX_[1732] + vX_[2359] * vX_[1723] + vX_[2349] * vX_[1940] + vX_[2364] * vX_[831] +
+ vX_[1639] * vX_[480] + vX_[8934] * vX_[478] + vX_[950] * vX_[479] + vX_[2132] * vX_[449] +
+ vX_[2933] * vX_[437] + vX_[8808] * vX_[426] + vX_[3728] * vX_[503] + vX_[1457] * vX_[492] +
+ vX_[8998] * vX_[432] + vX_[947] * vX_[504] + vX_[8984] * vX_[431] + vX_[1257] * vX_[425] +
+ vX_[2130] * vX_[430] + vX_[832] * vX_[420] + vX_[2133] * vX_[442] + vX_[8938] * vX_[438] +
+ vX_[683] * vX_[468] + vX_[876] * vX_[466] + vX_[1536] * vX_[606] + vX_[1536] * vX_[493] +
+ vX_[2325] * vX_[495] + vX_[1002] * vX_[417] + vX_[925] * vX_[465] +
+ (vX_[2046] * vX_[441] + vX_[1251] * vX_[451] + vX_[1971] * vX_[436] + vX_[2932] * vX_[447] +
+ (vX_[1193] + vX_[1971] * vX_[435]) * 4.027 + vX_[1932] * vX_[449] + vX_[936] * vX_[431] +
+ vX_[2360] * vX_[430] + vX_[2046] * vX_[415] + vX_[1971] * vX_[467]) *
+ -0.08 +
+ vX_[9126] * vX_[5] + vX_[9114] * vX_[1543] + vX_[8697] * vX_[10] + vX_[8809] * vX_[2916] +
+ (vX_[2362] * vX_[1732] + vX_[9126] * vX_[1882]) * -0.08 + vX_[8753] * vX_[473] + vX_[8762] * vX_[473] -
+ vX_[2400] * vX_[1702] + vX_[2401] * 0.35 + vX_[8745] * vX_[1952] + vX_[8735] * vX_[1950] +
+ vX_[1146] * vX_[1720] + vX_[4103] * vX_[1718] + vX_[8805] * vX_[1895] + vX_[8746] * vX_[473] +
+ vX_[2393] * vX_[395] + vX_[8739] * vX_[1961] + vX_[8726] * vX_[1957] + vX_[3683] * vX_[1730] +
+ vX_[3438] * vX_[1726] + vX_[644] * vX_[1897] + vX_[8798] * vX_[391] + vX_[8737] * vX_[473] -
+ vX_[2394] * vX_[1702] + vX_[2396] * vX_[1760] + vX_[2379] * vX_[1758] + vX_[2395] * vX_[1910] +
+ vX_[8741] * vX_[1908] + vX_[2419] * vX_[1702] * -0.33 + vX_[8783] * vX_[1807] + vX_[8766] * vX_[1805] +
+ vX_[8710] * vX_[1826] + vX_[2358] * vX_[1702] * -0.33 + vX_[8792] * vX_[1841] + vX_[1937] * vX_[1789] +
+ vX_[8728] * vX_[1839] + vX_[8655] * vX_[1783] + vX_[8637] * vX_[1795] + vX_[8583] * vX_[1785] +
+ vX_[8795] * vX_[1793] + vX_[9112] * vX_[1791] + vX_[8922] * vX_[395] * 0.33 + (0 - vX_[8920]) * 0.35 +
+ vX_[3019] * vX_[395] * 0.33 + vX_[8767] * vX_[1881] + vX_[8760] * vX_[1879] + vX_[8564] * vX_[1869] +
+ vX_[8565] * vX_[1824] + vX_[2420] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[2353] * vX_[1723] + vX_[2349] * vX_[831] + vX_[1639] * vX_[478] + vX_[950] * vX_[449] +
+ vX_[2132] * vX_[477] + vX_[2933] * vX_[492] + vX_[3728] * vX_[504] + vX_[8998] * vX_[426] +
+ vX_[8984] * vX_[430] + vX_[1257] * vX_[420] + vX_[2133] * vX_[438] + vX_[683] * vX_[466] +
+ vX_[1536] * vX_[495] + vX_[1002] * vX_[465] + vX_[925] * vX_[462] + vX_[9114] * vX_[5] +
+ vX_[8809] * vX_[10] - (vX_[2359] * vX_[1732] + vX_[9126] * vX_[1543]) +
+ (vX_[2362] * vX_[1723] +
+ (vX_[8758] * vX_[450] + vX_[844] * vX_[441] + vX_[8763] * vX_[449] + vX_[8985] * vX_[448] +
+ (0 - (vX_[946] + vX_[2046] * vX_[435] + vX_[844] * vX_[440])) * 4.027 + vX_[2365] * vX_[425] +
+ vX_[2361] * vX_[420] + vX_[2935] * vX_[427] + vX_[1573] * vX_[461]) *
+ -1 +
+ vX_[9114] * vX_[1882]) *
+ -0.08 -
+ (vX_[2364] * vX_[1940] + vX_[8934] * vX_[480] + vX_[8808] * vX_[432] + vX_[1457] * vX_[437] +
+ vX_[947] * vX_[503] + vX_[2130] * vX_[431] + vX_[832] * vX_[425] + vX_[8938] * vX_[442] +
+ vX_[876] * vX_[468] + vX_[1536] * vX_[494] + vX_[2325] * vX_[493] + vX_[8697] * vX_[2916]) +
+ vX_[9132] * vX_[391] + vX_[3714] * vX_[391] + vX_[2383] * vX_[1946] + vX_[8754] * vX_[1713] +
+ vX_[8745] * vX_[1953] + vX_[8735] * vX_[1949] + vX_[1146] * vX_[1721] + vX_[1938] * vX_[1717] +
+ vX_[3424] * vX_[1897] + vX_[3425] * vX_[391] + vX_[2399] * vX_[1702] + vX_[8743] * vX_[1960] +
+ vX_[8726] * vX_[1958] + vX_[3683] * vX_[1729] + vX_[3438] * vX_[1727] + vX_[2381] * vX_[1901] +
+ vX_[2931] * vX_[391] + vX_[2382] * vX_[473] + vX_[2129] * vX_[395] + vX_[8771] * vX_[1756] +
+ vX_[8733] * vX_[1906] + (0 - vX_[2419]) * 0.35 + vX_[3735] * vX_[395] * 0.33 + vX_[8756] * vX_[1803] +
+ vX_[8712] * vX_[1822] + (0 - vX_[2358]) * 0.35 + vX_[3693] * vX_[395] * 0.33 + vX_[2387] * vX_[1843] +
+ vX_[1945] * vX_[1834] + vX_[8800] * vX_[1791] + vX_[8711] * vX_[1837] + vX_[8651] * vX_[1797] +
+ vX_[8639] * vX_[1787] + vX_[8638] * vX_[1783] + vX_[2494] * vX_[1789] + vX_[2357] * vX_[1702] * 0.33 +
+ vX_[8920] * vX_[1702] * 0.33 + vX_[8750] * vX_[1877] + vX_[8510] * vX_[1867] + (0 - vX_[2420]) * 0.35 +
+ vX_[3280] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[7954] = vX_[2520] + vX_[7954] * vX_[473] + vX_[7958] * vX_[487];
+ vX_[7944] = vX_[2520] + vX_[7961] * vX_[487] + vX_[7944] * vX_[485];
+ vX_[8076] = vX_[926] + vX_[1846] + vX_[2520] - vX_[7954] - vX_[7944] + vX_[2529] * vX_[474] + vX_[8076] * vX_[393];
+ vX_[7944] = vX_[7944] + vX_[1912] * vX_[393] + vX_[8345] * vX_[489] + vX_[2759] * vX_[4124];
+ vX_[1912] = vX_[8076] - vX_[7944];
+ vX_[7950] = vX_[8063] * vX_[473] + vX_[7950] * vX_[487] + vX_[8369] * vX_[489] + vX_[2532] * vX_[474] +
+ vX_[8303] * vX_[393] + vX_[2753] * vX_[4124];
+ vX_[8303] = vX_[1912] * vX_[421] + vX_[7950] * vX_[433];
+ vX_[2532] = vX_[1912] * vX_[394] + vX_[7950] * vX_[421];
+ vX_[8380] = vX_[2126] + vX_[8380] * vX_[393] + vX_[8338] * vX_[474] * 2. + vX_[2753] * vX_[4121];
+ vX_[2126] = 0 - vX_[7950];
+ vX_[7887] = 0 - (vX_[7961] * vX_[473] + vX_[7958] * vX_[485] + vX_[7957] * vX_[487] + vX_[8379] * vX_[393] +
+ vX_[7887] * vX_[474] + vX_[8049] * vX_[489] + vX_[2725] * vX_[4124] + vX_[2759] * vX_[4133]);
+ vX_[7957] = 0 - vX_[7944];
+ vX_[8348] =
+ vX_[8306] + vX_[8348] * vX_[393] + vX_[8304] * vX_[489] * 2. + vX_[2759] * vX_[4121] + vX_[2762] * vX_[4124];
+ vX_[8304] = 0 - vX_[8348];
+ vX_[8312] = vX_[8308] + vX_[8317] * vX_[393] + vX_[8312] * vX_[489] + vX_[2759] * vX_[4134] + vX_[2764] * vX_[4124];
+ vX_[8308] = 0 - vX_[8312];
+ vX_[8317] = (vX_[7957] * vX_[434] + vX_[8304] * vX_[496] + vX_[8308] * vX_[505]) * 1 / vX_[470];
+ vX_[7957] = vX_[2760] * vX_[2081] + vX_[2126] * vX_[483] + vX_[7887] * vX_[471] + vX_[7957] * vX_[499] + vX_[8317];
+ vX_[2413] = vX_[2530] + vX_[8337] * vX_[474] + vX_[2413] * vX_[393] * 2. + vX_[2753] * vX_[4134];
+ vX_[8076] = 0 - vX_[8076];
+ vX_[7960] = 0 - (0 - (vX_[8063] * vX_[487] + vX_[7960] * vX_[485]) + vX_[8334] * vX_[489] + vX_[8062] * vX_[393] +
+ vX_[2927] * vX_[474] + vX_[2753] * vX_[4133]);
+ vX_[2927] = 0 - vX_[8380];
+ vX_[8063] = 0 - vX_[2413];
+ vX_[2126] = (vX_[8076] * vX_[482] + vX_[7960] * vX_[444] + vX_[2126] * vX_[434] + vX_[2927] * vX_[496] +
+ vX_[8063] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[8076] = vX_[2757] * vX_[2081] + vX_[8076] * vX_[483] + vX_[2126];
+ vX_[8062] = vX_[7957] * vX_[433] + vX_[8076] * vX_[421];
+ vX_[8334] = vX_[7957] * vX_[421] + vX_[8076] * vX_[394];
+ vX_[2530] = vX_[2413] * vX_[421] + vX_[8312] * vX_[433];
+ vX_[8306] = vX_[2413] * vX_[394] + vX_[8312] * vX_[421];
+ vX_[8313] =
+ vX_[2533] + vX_[8313] * vX_[474] + vX_[8331] * vX_[489] * 2. + vX_[2725] * vX_[4134] + vX_[2764] * vX_[4133];
+ vX_[2533] = vX_[8348] - vX_[8313];
+ vX_[7954] = 0 - (vX_[7954] + vX_[7897] * vX_[474] + vX_[8310] * vX_[489] + vX_[2725] * vX_[4133]);
+ vX_[8297] =
+ 0 - (vX_[8297] + vX_[8377] * vX_[474] + vX_[8337] * vX_[489] + vX_[2725] * vX_[4121] + vX_[2762] * vX_[4133]);
+ vX_[8313] = 0 - vX_[8313];
+ vX_[7887] =
+ (vX_[7954] * vX_[444] + vX_[7887] * vX_[434] + vX_[8297] * vX_[496] + vX_[8313] * vX_[505]) * 1 / vX_[470];
+ vX_[7954] = 0 - vX_[8380] + vX_[2758] * vX_[2081] + vX_[7960] * vX_[483] + vX_[7954] * vX_[471] + vX_[7887];
+ vX_[8331] = vX_[8331] + vX_[2764] * vX_[4134];
+ vX_[8338] = vX_[8338] + vX_[2762] * vX_[4121];
+ vX_[7960] = 0 - vX_[8338];
+ vX_[8337] = vX_[8337] + vX_[2762] * vX_[4134] + vX_[2764] * vX_[4121];
+ vX_[8377] = 0 - vX_[8337];
+ vX_[2725] = (vX_[7960] * vX_[496] + vX_[8377] * vX_[505]) * 1 / vX_[470];
+ vX_[7897] = 0 - vX_[8331];
+ vX_[8310] = vX_[7897] * vX_[505] * 1 / vX_[470];
+ vX_[7887] = 0 - vX_[2757] * vX_[1449] - vX_[2758] * vX_[4127] - vX_[2760] * vX_[14] - vX_[2761] * vX_[1343] +
+ vX_[2761] * vX_[2081] - vX_[2763] * vX_[1743] - vX_[2765] * vX_[4106] - vX_[2126] * vX_[483] -
+ vX_[7887] * vX_[471] - vX_[8317] * vX_[499] - vX_[2725] * vX_[551] - vX_[8310] * vX_[560];
+ vX_[2126] = 0 - vX_[8331] + vX_[7887];
+ vX_[8310] = vX_[2765] * vX_[2081] + vX_[8063] * vX_[483] + vX_[8313] * vX_[471] + vX_[8308] * vX_[499] +
+ vX_[8377] * vX_[551] + vX_[7897] * vX_[560] + vX_[8310];
+ vX_[2725] = vX_[2763] * vX_[2081] + vX_[2927] * vX_[483] + vX_[8297] * vX_[471] + vX_[8304] * vX_[499] +
+ vX_[7960] * vX_[551] + vX_[2725];
+ vX_[7960] = vX_[2126] * vX_[421] + vX_[8310] * vX_[433];
+ vX_[8297] = vX_[2126] * vX_[394] + vX_[8310] * vX_[421];
+ vX_[2927] = vX_[7960] * vX_[394] + vX_[8297] * vX_[421];
+ vX_[8304] = vX_[8331] + vX_[7960] * vX_[421];
+ vX_[2763] = vX_[8331] + vX_[8297] * vX_[394];
+ vX_[7887] = vX_[8338] + vX_[8331] + vX_[7887] - vX_[8304] - vX_[2763];
+ vX_[8338] = 0 - vX_[7887];
+ vX_[8331] = (vX_[8380] * vX_[421] + vX_[8348] * vX_[433]) * -1;
+ vX_[7897] = vX_[8331] + vX_[8338] * vX_[435];
+ vX_[8377] = 0 - vX_[7897];
+ vX_[8331] = 0 - (vX_[2533] * vX_[394] + vX_[7954] * vX_[421]) + vX_[8331];
+ vX_[8313] = (vX_[8380] * vX_[394] + vX_[8348] * vX_[421]) * -1;
+ vX_[8063] = vX_[8313] + vX_[7887] * vX_[440];
+ vX_[8308] = 0 - vX_[8063];
+ vX_[2765] = 0 - (vX_[8337] * vX_[394] + vX_[2725] * vX_[421]) + vX_[8337] * vX_[433] * -1 * 2.;
+ vX_[8317] = 0 - vX_[2765];
+ vX_[2761] = vX_[8337] * vX_[421] + vX_[2725] * vX_[433] + vX_[8337] * vX_[421] * -1 * 2.;
+ vX_[2760] = 0 - vX_[2761];
+ vX_[2800] = vX_[2800] * vX_[2089];
+ vX_[2799] = vX_[2799] * vX_[2089] + vX_[2793] * vX_[1761];
+ vX_[2793] = 0 - vX_[2799];
+ vX_[2794] = vX_[2794] * vX_[1761];
+ vX_[2819] = vX_[2792] * vX_[2077] + vX_[2819] * vX_[2082];
+ vX_[2792] = 0 - vX_[2809];
+ vX_[2758] = vX_[2792] * x_in[19] + vX_[7918] * x_in[20];
+ vX_[2757] = vX_[7919] * x_in[26];
+ vX_[7958] = 0 - vX_[2757];
+ vX_[7961] = vX_[7919] * x_in[25];
+ vX_[8379] = 0 - vX_[7961];
+ vX_[2820] = vX_[2820] * vX_[1872];
+ vX_[8049] = 0 - vX_[2763];
+ vX_[8313] = vX_[2533] * vX_[421] + vX_[7954] * vX_[433] + vX_[8313];
+ vX_[8369] = 0 - vX_[2927];
+ vX_[8345] = 0 - vX_[2763];
+ vX_[2529] = 0 - vX_[2800] - vX_[2794];
+ vX_[844] = 0 - vX_[2819];
+ vX_[1251] = 0 - vX_[2758];
+ vX_[8758] = 0 - vX_[2820];
+ jac[272] =
+ 0 -
+ (vX_[2753] * vX_[1732] + vX_[2759] * vX_[1723] + vX_[2749] * vX_[1940] + vX_[2764] * vX_[831] +
+ vX_[1912] * vX_[480] + vX_[7950] * vX_[478] + vX_[8303] * vX_[479] + vX_[2532] * vX_[449] +
+ vX_[8380] * vX_[437] + vX_[7957] * vX_[426] + vX_[2413] * vX_[503] + vX_[8348] * vX_[492] +
+ vX_[8076] * vX_[432] + vX_[8312] * vX_[504] + vX_[8062] * vX_[431] + vX_[8334] * vX_[425] +
+ vX_[2530] * vX_[430] + vX_[8306] * vX_[420] + vX_[2533] * vX_[442] + vX_[7954] * vX_[438] +
+ vX_[2126] * vX_[468] + vX_[8310] * vX_[466] + vX_[8337] * vX_[606] + vX_[8337] * vX_[493] +
+ vX_[2725] * vX_[495] + vX_[7960] * vX_[417] + vX_[8297] * vX_[465] +
+ (vX_[2927] * vX_[441] + vX_[8338] * vX_[451] + vX_[8304] * vX_[436] + vX_[8377] * vX_[447] +
+ (vX_[8331] + vX_[8304] * vX_[435]) * 4.027 + vX_[8308] * vX_[449] + vX_[8317] * vX_[431] +
+ vX_[2760] * vX_[430] + vX_[2927] * vX_[415] + vX_[8304] * vX_[467]) *
+ -0.08 +
+ vX_[8222] * vX_[5] + vX_[8210] * vX_[1543] + vX_[7937] * vX_[10] + vX_[7947] * vX_[2916] +
+ (vX_[2762] * vX_[1732] + vX_[8222] * vX_[1882]) * -0.08 + vX_[7898] * vX_[473] + vX_[7891] * vX_[473] -
+ vX_[2800] * vX_[1702] + vX_[2801] * 0.35 + vX_[7894] * vX_[1952] + vX_[7889] * vX_[1950] +
+ vX_[8327] * vX_[1720] + vX_[3710] * vX_[1718] + vX_[7939] * vX_[1895] + vX_[7884] * vX_[473] +
+ vX_[2793] * vX_[395] + vX_[7893] * vX_[1961] + vX_[7885] * vX_[1957] + vX_[9035] * vX_[1730] +
+ vX_[9049] * vX_[1726] + vX_[2131] * vX_[1897] + vX_[7952] * vX_[391] + vX_[7876] * vX_[473] -
+ vX_[2794] * vX_[1702] + vX_[2796] * vX_[1760] + vX_[2779] * vX_[1758] + vX_[2795] * vX_[1910] +
+ vX_[7880] * vX_[1908] + vX_[2819] * vX_[1702] * -0.33 + vX_[7912] * vX_[1807] + vX_[7915] * vX_[1805] +
+ vX_[7789] * vX_[1826] + vX_[2758] * vX_[1702] * -0.33 + vX_[7948] * vX_[1841] + vX_[8227] * vX_[1789] +
+ vX_[7807] * vX_[1839] + vX_[7734] * vX_[1783] + vX_[7716] * vX_[1795] + vX_[7662] * vX_[1785] +
+ vX_[7940] * vX_[1793] + vX_[8208] * vX_[1791] + vX_[7958] * vX_[395] * 0.33 + (0 - vX_[7961]) * 0.35 +
+ vX_[8379] * vX_[395] * 0.33 + vX_[7905] * vX_[1881] + vX_[7914] * vX_[1879] + vX_[7643] * vX_[1869] +
+ vX_[7644] * vX_[1824] + vX_[2820] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[2753] * vX_[1723] + vX_[2749] * vX_[831] + vX_[1912] * vX_[478] + vX_[8303] * vX_[449] +
+ vX_[2532] * vX_[477] + vX_[8380] * vX_[492] + vX_[2413] * vX_[504] + vX_[8076] * vX_[426] +
+ vX_[8062] * vX_[430] + vX_[8334] * vX_[420] + vX_[2533] * vX_[438] + vX_[2126] * vX_[466] +
+ vX_[8337] * vX_[495] + vX_[7960] * vX_[465] + vX_[8297] * vX_[462] + vX_[8210] * vX_[5] +
+ vX_[7947] * vX_[10] - (vX_[2759] * vX_[1732] + vX_[8222] * vX_[1543]) +
+ (vX_[2762] * vX_[1723] +
+ (vX_[7887] * vX_[450] + vX_[8049] * vX_[441] + vX_[7897] * vX_[449] + vX_[8063] * vX_[448] +
+ (0 - (vX_[8313] + vX_[2927] * vX_[435] + vX_[8049] * vX_[440])) * 4.027 + vX_[2765] * vX_[425] +
+ vX_[2761] * vX_[420] + vX_[8369] * vX_[427] + vX_[8345] * vX_[461]) *
+ -1 +
+ vX_[8210] * vX_[1882]) *
+ -0.08 -
+ (vX_[2764] * vX_[1940] + vX_[7950] * vX_[480] + vX_[7957] * vX_[432] + vX_[8348] * vX_[437] +
+ vX_[8312] * vX_[503] + vX_[2530] * vX_[431] + vX_[8306] * vX_[425] + vX_[7954] * vX_[442] +
+ vX_[8310] * vX_[468] + vX_[8337] * vX_[494] + vX_[2725] * vX_[493] + vX_[7937] * vX_[2916]) +
+ vX_[8299] * vX_[391] + vX_[1561] * vX_[391] + vX_[2783] * vX_[1946] + vX_[7878] * vX_[1713] +
+ vX_[7894] * vX_[1953] + vX_[7889] * vX_[1949] + vX_[8327] * vX_[1721] + vX_[8282] * vX_[1717] +
+ vX_[1311] * vX_[1897] + vX_[8986] * vX_[391] + vX_[2799] * vX_[1702] + vX_[7630] * vX_[1960] +
+ vX_[7885] * vX_[1958] + vX_[9035] * vX_[1729] + vX_[9049] * vX_[1727] + vX_[2781] * vX_[1901] +
+ vX_[9002] * vX_[391] + vX_[2782] * vX_[473] + vX_[2529] * vX_[395] + vX_[7927] * vX_[1756] +
+ vX_[7863] * vX_[1906] + (0 - vX_[2819]) * 0.35 + vX_[844] * vX_[395] * 0.33 + vX_[7910] * vX_[1803] +
+ vX_[7791] * vX_[1822] + (0 - vX_[2758]) * 0.35 + vX_[1251] * vX_[395] * 0.33 + vX_[2787] * vX_[1843] +
+ vX_[2416] * vX_[1834] + vX_[7929] * vX_[1791] + vX_[7790] * vX_[1837] + vX_[7730] * vX_[1797] +
+ vX_[7718] * vX_[1787] + vX_[7717] * vX_[1783] + vX_[2894] * vX_[1789] + vX_[2757] * vX_[1702] * 0.33 +
+ vX_[7961] * vX_[1702] * 0.33 + vX_[7906] * vX_[1877] + vX_[7533] * vX_[1867] + (0 - vX_[2820]) * 0.35 +
+ vX_[8758] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[7085] = vX_[2947] + vX_[7085] * vX_[473] + vX_[7094] * vX_[487];
+ vX_[7075] = vX_[2947] + vX_[7102] * vX_[487] + vX_[7075] * vX_[485];
+ vX_[7104] = vX_[8325] + vX_[3721] + vX_[2947] - vX_[7085] - vX_[7075] + vX_[2956] * vX_[474] + vX_[7104] * vX_[393];
+ vX_[7075] = vX_[7075] + vX_[2805] * vX_[393] + vX_[7485] * vX_[489] + vX_[3186] * vX_[4124];
+ vX_[2805] = vX_[7104] - vX_[7075];
+ vX_[6995] = vX_[7098] * vX_[473] + vX_[6995] * vX_[487] + vX_[7422] * vX_[489] + vX_[2959] * vX_[474] +
+ vX_[7453] * vX_[393] + vX_[3180] * vX_[4124];
+ vX_[7453] = vX_[2805] * vX_[421] + vX_[6995] * vX_[433];
+ vX_[2959] = vX_[2805] * vX_[394] + vX_[6995] * vX_[421];
+ vX_[7529] = vX_[2813] + vX_[7529] * vX_[393] + vX_[7487] * vX_[474] * 2. + vX_[3180] * vX_[4121];
+ vX_[2813] = 0 - vX_[6995];
+ vX_[6776] = 0 - (vX_[7102] * vX_[473] + vX_[7094] * vX_[485] + vX_[7086] * vX_[487] + vX_[7520] * vX_[393] +
+ vX_[6776] * vX_[474] + vX_[7436] * vX_[489] + vX_[3152] * vX_[4124] + vX_[3186] * vX_[4133]);
+ vX_[7086] = 0 - vX_[7075];
+ vX_[7349] =
+ vX_[7203] + vX_[7349] * vX_[393] + vX_[7376] * vX_[489] * 2. + vX_[3186] * vX_[4121] + vX_[3189] * vX_[4124];
+ vX_[7376] = 0 - vX_[7349];
+ vX_[7381] = vX_[7437] + vX_[7466] * vX_[393] + vX_[7381] * vX_[489] + vX_[3186] * vX_[4134] + vX_[3191] * vX_[4124];
+ vX_[7437] = 0 - vX_[7381];
+ vX_[7466] = (vX_[7086] * vX_[434] + vX_[7376] * vX_[496] + vX_[7437] * vX_[505]) * 1 / vX_[470];
+ vX_[7086] = vX_[3187] * vX_[2081] + vX_[2813] * vX_[483] + vX_[6776] * vX_[471] + vX_[7086] * vX_[499] + vX_[7466];
+ vX_[2789] = vX_[2957] + vX_[7478] * vX_[474] + vX_[2789] * vX_[393] * 2. + vX_[3180] * vX_[4134];
+ vX_[7104] = 0 - vX_[7104];
+ vX_[7093] = 0 - (0 - (vX_[7098] * vX_[487] + vX_[7093] * vX_[485]) + vX_[7471] * vX_[489] + vX_[7100] * vX_[393] +
+ vX_[2369] * vX_[474] + vX_[3180] * vX_[4133]);
+ vX_[2369] = 0 - vX_[7529];
+ vX_[7098] = 0 - vX_[2789];
+ vX_[2813] = (vX_[7104] * vX_[482] + vX_[7093] * vX_[444] + vX_[2813] * vX_[434] + vX_[2369] * vX_[496] +
+ vX_[7098] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[7104] = vX_[3184] * vX_[2081] + vX_[7104] * vX_[483] + vX_[2813];
+ vX_[7100] = vX_[7086] * vX_[433] + vX_[7104] * vX_[421];
+ vX_[7471] = vX_[7086] * vX_[421] + vX_[7104] * vX_[394];
+ vX_[2957] = vX_[2789] * vX_[421] + vX_[7381] * vX_[433];
+ vX_[7203] = vX_[2789] * vX_[394] + vX_[7381] * vX_[421];
+ vX_[7435] =
+ vX_[2960] + vX_[7435] * vX_[474] + vX_[7470] * vX_[489] * 2. + vX_[3152] * vX_[4134] + vX_[3191] * vX_[4133];
+ vX_[2960] = vX_[7349] - vX_[7435];
+ vX_[7085] = 0 - (vX_[7085] + vX_[7030] * vX_[474] + vX_[7454] * vX_[489] + vX_[3152] * vX_[4133]);
+ vX_[7449] =
+ 0 - (vX_[7449] + vX_[7521] * vX_[474] + vX_[7478] * vX_[489] + vX_[3152] * vX_[4121] + vX_[3189] * vX_[4133]);
+ vX_[7435] = 0 - vX_[7435];
+ vX_[6776] =
+ (vX_[7085] * vX_[444] + vX_[6776] * vX_[434] + vX_[7449] * vX_[496] + vX_[7435] * vX_[505]) * 1 / vX_[470];
+ vX_[7085] = 0 - vX_[7529] + vX_[3185] * vX_[2081] + vX_[7093] * vX_[483] + vX_[7085] * vX_[471] + vX_[6776];
+ vX_[7470] = vX_[7470] + vX_[3191] * vX_[4134];
+ vX_[7487] = vX_[7487] + vX_[3189] * vX_[4121];
+ vX_[7093] = 0 - vX_[7487];
+ vX_[7478] = vX_[7478] + vX_[3189] * vX_[4134] + vX_[3191] * vX_[4121];
+ vX_[7521] = 0 - vX_[7478];
+ vX_[3152] = (vX_[7093] * vX_[496] + vX_[7521] * vX_[505]) * 1 / vX_[470];
+ vX_[7030] = 0 - vX_[7470];
+ vX_[7454] = vX_[7030] * vX_[505] * 1 / vX_[470];
+ vX_[6776] = 0 - vX_[3184] * vX_[1449] - vX_[3185] * vX_[4127] - vX_[3187] * vX_[14] - vX_[3188] * vX_[1343] +
+ vX_[3188] * vX_[2081] - vX_[3190] * vX_[1743] - vX_[3192] * vX_[4106] - vX_[2813] * vX_[483] -
+ vX_[6776] * vX_[471] - vX_[7466] * vX_[499] - vX_[3152] * vX_[551] - vX_[7454] * vX_[560];
+ vX_[2813] = 0 - vX_[7470] + vX_[6776];
+ vX_[7454] = vX_[3192] * vX_[2081] + vX_[7098] * vX_[483] + vX_[7435] * vX_[471] + vX_[7437] * vX_[499] +
+ vX_[7521] * vX_[551] + vX_[7030] * vX_[560] + vX_[7454];
+ vX_[3152] = vX_[3190] * vX_[2081] + vX_[2369] * vX_[483] + vX_[7449] * vX_[471] + vX_[7376] * vX_[499] +
+ vX_[7093] * vX_[551] + vX_[3152];
+ vX_[7093] = vX_[2813] * vX_[421] + vX_[7454] * vX_[433];
+ vX_[7449] = vX_[2813] * vX_[394] + vX_[7454] * vX_[421];
+ vX_[2369] = vX_[7093] * vX_[394] + vX_[7449] * vX_[421];
+ vX_[7376] = vX_[7470] + vX_[7093] * vX_[421];
+ vX_[3190] = vX_[7470] + vX_[7449] * vX_[394];
+ vX_[6776] = vX_[7487] + vX_[7470] + vX_[6776] - vX_[7376] - vX_[3190];
+ vX_[7487] = 0 - vX_[6776];
+ vX_[7470] = (vX_[7529] * vX_[421] + vX_[7349] * vX_[433]) * -1;
+ vX_[7030] = vX_[7470] + vX_[7487] * vX_[435];
+ vX_[7521] = 0 - vX_[7030];
+ vX_[7470] = 0 - (vX_[2960] * vX_[394] + vX_[7085] * vX_[421]) + vX_[7470];
+ vX_[7435] = (vX_[7529] * vX_[394] + vX_[7349] * vX_[421]) * -1;
+ vX_[7098] = vX_[7435] + vX_[6776] * vX_[440];
+ vX_[7437] = 0 - vX_[7098];
+ vX_[3192] = 0 - (vX_[7478] * vX_[394] + vX_[3152] * vX_[421]) + vX_[7478] * vX_[433] * -1 * 2.;
+ vX_[7466] = 0 - vX_[3192];
+ vX_[3188] = vX_[7478] * vX_[421] + vX_[3152] * vX_[433] + vX_[7478] * vX_[421] * -1 * 2.;
+ vX_[3187] = 0 - vX_[3188];
+ vX_[3227] = vX_[3227] * vX_[2089];
+ vX_[3226] = vX_[3226] * vX_[2089] + vX_[3220] * vX_[1761];
+ vX_[3220] = 0 - vX_[3226];
+ vX_[3221] = vX_[3221] * vX_[1761];
+ vX_[3246] = vX_[3219] * vX_[2077] + vX_[3246] * vX_[2082];
+ vX_[3219] = 0 - vX_[3236];
+ vX_[3185] = vX_[3219] * x_in[19] + vX_[7051] * x_in[20];
+ vX_[3184] = vX_[7060] * x_in[26];
+ vX_[7094] = 0 - vX_[3184];
+ vX_[7102] = vX_[7060] * x_in[25];
+ vX_[7520] = 0 - vX_[7102];
+ vX_[3247] = vX_[3247] * vX_[1872];
+ vX_[7436] = 0 - vX_[3190];
+ vX_[7435] = vX_[2960] * vX_[421] + vX_[7085] * vX_[433] + vX_[7435];
+ vX_[7422] = 0 - vX_[2369];
+ vX_[7485] = 0 - vX_[3190];
+ vX_[2956] = 0 - vX_[3227] - vX_[3221];
+ vX_[8049] = 0 - vX_[3246];
+ vX_[8338] = 0 - vX_[3185];
+ vX_[7887] = 0 - vX_[3247];
+ jac[273] =
+ 0 -
+ (vX_[3180] * vX_[1732] + vX_[3186] * vX_[1723] + vX_[3176] * vX_[1940] + vX_[3191] * vX_[831] +
+ vX_[2805] * vX_[480] + vX_[6995] * vX_[478] + vX_[7453] * vX_[479] + vX_[2959] * vX_[449] +
+ vX_[7529] * vX_[437] + vX_[7086] * vX_[426] + vX_[2789] * vX_[503] + vX_[7349] * vX_[492] +
+ vX_[7104] * vX_[432] + vX_[7381] * vX_[504] + vX_[7100] * vX_[431] + vX_[7471] * vX_[425] +
+ vX_[2957] * vX_[430] + vX_[7203] * vX_[420] + vX_[2960] * vX_[442] + vX_[7085] * vX_[438] +
+ vX_[2813] * vX_[468] + vX_[7454] * vX_[466] + vX_[7478] * vX_[606] + vX_[7478] * vX_[493] +
+ vX_[3152] * vX_[495] + vX_[7093] * vX_[417] + vX_[7449] * vX_[465] +
+ (vX_[2369] * vX_[441] + vX_[7487] * vX_[451] + vX_[7376] * vX_[436] + vX_[7521] * vX_[447] +
+ (vX_[7470] + vX_[7376] * vX_[435]) * 4.027 + vX_[7437] * vX_[449] + vX_[7466] * vX_[431] +
+ vX_[3187] * vX_[430] + vX_[2369] * vX_[415] + vX_[7376] * vX_[467]) *
+ -0.08 +
+ vX_[7291] * vX_[5] + vX_[7290] * vX_[1543] + vX_[7073] * vX_[10] + vX_[7079] * vX_[2916] +
+ (vX_[3189] * vX_[1732] + vX_[7291] * vX_[1882]) * -0.08 + vX_[7039] * vX_[473] + vX_[7027] * vX_[473] -
+ vX_[3227] * vX_[1702] + vX_[3228] * 0.35 + vX_[7008] * vX_[1952] + vX_[7010] * vX_[1950] +
+ vX_[7276] * vX_[1720] + vX_[1553] * vX_[1718] + vX_[7072] * vX_[1895] + vX_[7026] * vX_[473] +
+ vX_[3220] * vX_[395] + vX_[6954] * vX_[1961] + vX_[6949] * vX_[1957] + vX_[8335] * vX_[1730] +
+ vX_[8136] * vX_[1726] + vX_[2531] * vX_[1897] + vX_[7083] * vX_[391] + vX_[6937] * vX_[473] -
+ vX_[3221] * vX_[1702] + vX_[3223] * vX_[1760] + vX_[3206] * vX_[1758] + vX_[3222] * vX_[1910] +
+ vX_[6881] * vX_[1908] + vX_[3246] * vX_[1702] * -0.33 + vX_[7043] * vX_[1807] + vX_[7044] * vX_[1805] +
+ vX_[6880] * vX_[1826] + vX_[3185] * vX_[1702] * -0.33 + vX_[7077] * vX_[1841] + vX_[7289] * vX_[1789] +
+ vX_[6808] * vX_[1839] + vX_[6687] * vX_[1783] + vX_[6807] * vX_[1795] + vX_[6688] * vX_[1785] +
+ vX_[7081] * vX_[1793] + vX_[7307] * vX_[1791] + vX_[7094] * vX_[395] * 0.33 + (0 - vX_[7102]) * 0.35 +
+ vX_[7520] * vX_[395] * 0.33 + vX_[7037] * vX_[1881] + vX_[7040] * vX_[1879] + vX_[6681] * vX_[1869] +
+ vX_[6679] * vX_[1824] + vX_[3247] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[3180] * vX_[1723] + vX_[3176] * vX_[831] + vX_[2805] * vX_[478] + vX_[7453] * vX_[449] +
+ vX_[2959] * vX_[477] + vX_[7529] * vX_[492] + vX_[2789] * vX_[504] + vX_[7104] * vX_[426] +
+ vX_[7100] * vX_[430] + vX_[7471] * vX_[420] + vX_[2960] * vX_[438] + vX_[2813] * vX_[466] +
+ vX_[7478] * vX_[495] + vX_[7093] * vX_[465] + vX_[7449] * vX_[462] + vX_[7290] * vX_[5] +
+ vX_[7079] * vX_[10] - (vX_[3186] * vX_[1732] + vX_[7291] * vX_[1543]) +
+ (vX_[3189] * vX_[1723] +
+ (vX_[6776] * vX_[450] + vX_[7436] * vX_[441] + vX_[7030] * vX_[449] + vX_[7098] * vX_[448] +
+ (0 - (vX_[7435] + vX_[2369] * vX_[435] + vX_[7436] * vX_[440])) * 4.027 + vX_[3192] * vX_[425] +
+ vX_[3188] * vX_[420] + vX_[7422] * vX_[427] + vX_[7485] * vX_[461]) *
+ -1 +
+ vX_[7290] * vX_[1882]) *
+ -0.08 -
+ (vX_[3191] * vX_[1940] + vX_[6995] * vX_[480] + vX_[7086] * vX_[432] + vX_[7349] * vX_[437] +
+ vX_[7381] * vX_[503] + vX_[2957] * vX_[431] + vX_[7203] * vX_[425] + vX_[7085] * vX_[442] +
+ vX_[7454] * vX_[468] + vX_[7478] * vX_[494] + vX_[3152] * vX_[493] + vX_[7073] * vX_[2916]) +
+ vX_[7308] * vX_[391] + vX_[8359] * vX_[391] + vX_[3210] * vX_[1946] + vX_[7022] * vX_[1713] +
+ vX_[7008] * vX_[1953] + vX_[7010] * vX_[1949] + vX_[7276] * vX_[1721] + vX_[7303] * vX_[1717] +
+ vX_[8081] * vX_[1897] + vX_[8064] * vX_[391] + vX_[3226] * vX_[1702] + vX_[7009] * vX_[1960] +
+ vX_[6949] * vX_[1958] + vX_[8335] * vX_[1729] + vX_[8136] * vX_[1727] + vX_[3208] * vX_[1901] +
+ vX_[8080] * vX_[391] + vX_[3209] * vX_[473] + vX_[2956] * vX_[395] + vX_[7056] * vX_[1756] +
+ vX_[6876] * vX_[1906] + (0 - vX_[3246]) * 0.35 + vX_[8049] * vX_[395] * 0.33 + vX_[7041] * vX_[1803] +
+ vX_[6863] * vX_[1822] + (0 - vX_[3185]) * 0.35 + vX_[8338] * vX_[395] * 0.33 + vX_[3214] * vX_[1843] +
+ vX_[2816] * vX_[1834] + vX_[6922] * vX_[1791] + vX_[6803] * vX_[1837] + vX_[6791] * vX_[1797] +
+ vX_[6790] * vX_[1787] + vX_[6677] * vX_[1783] + vX_[3321] * vX_[1789] + vX_[3184] * vX_[1702] * 0.33 +
+ vX_[7102] * vX_[1702] * 0.33 + vX_[7035] * vX_[1877] + vX_[6674] * vX_[1867] + (0 - vX_[3247]) * 0.35 +
+ vX_[7887] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[6074] = vX_[3353] + vX_[6074] * vX_[473] + vX_[6224] * vX_[487];
+ vX_[6233] = vX_[3353] + vX_[6229] * vX_[487] + vX_[6233] * vX_[485];
+ vX_[6237] = vX_[7462] + vX_[2951] + vX_[3353] - vX_[6074] - vX_[6233] + vX_[3362] * vX_[474] + vX_[6237] * vX_[393];
+ vX_[6233] = vX_[6233] + vX_[3216] * vX_[393] + vX_[6614] * vX_[489] + vX_[3592] * vX_[4124];
+ vX_[3216] = vX_[6237] - vX_[6233];
+ vX_[6234] = vX_[6231] * vX_[473] + vX_[6234] * vX_[487] + vX_[6663] * vX_[489] + vX_[3365] * vX_[474] +
+ vX_[6457] * vX_[393] + vX_[3586] * vX_[4124];
+ vX_[6457] = vX_[3216] * vX_[421] + vX_[6234] * vX_[433];
+ vX_[3365] = vX_[3216] * vX_[394] + vX_[6234] * vX_[421];
+ vX_[6658] = vX_[3232] + vX_[6658] * vX_[393] + vX_[6616] * vX_[474] * 2. + vX_[3586] * vX_[4121];
+ vX_[3232] = 0 - vX_[6234];
+ vX_[6106] = 0 - (vX_[6229] * vX_[473] + vX_[6224] * vX_[485] + vX_[6225] * vX_[487] + vX_[6650] * vX_[393] +
+ vX_[6106] * vX_[474] + vX_[6443] * vX_[489] + vX_[3558] * vX_[4124] + vX_[3592] * vX_[4133]);
+ vX_[6225] = 0 - vX_[6233];
+ vX_[6642] =
+ vX_[6535] + vX_[6642] * vX_[393] + vX_[6461] * vX_[489] * 2. + vX_[3592] * vX_[4121] + vX_[3595] * vX_[4124];
+ vX_[6461] = 0 - vX_[6642];
+ vX_[6445] = vX_[6462] + vX_[6530] * vX_[393] + vX_[6445] * vX_[489] + vX_[3592] * vX_[4134] + vX_[3597] * vX_[4124];
+ vX_[6462] = 0 - vX_[6445];
+ vX_[6530] = (vX_[6225] * vX_[434] + vX_[6461] * vX_[496] + vX_[6462] * vX_[505]) * 1 / vX_[470];
+ vX_[6225] = vX_[3593] * vX_[2081] + vX_[3232] * vX_[483] + vX_[6106] * vX_[471] + vX_[6225] * vX_[499] + vX_[6530];
+ vX_[3196] = vX_[3363] + vX_[6605] * vX_[474] + vX_[3196] * vX_[393] * 2. + vX_[3586] * vX_[4134];
+ vX_[6237] = 0 - vX_[6237];
+ vX_[6221] = 0 - (0 - (vX_[6231] * vX_[487] + vX_[6221] * vX_[485]) + vX_[6612] * vX_[489] + vX_[6227] * vX_[393] +
+ vX_[7502] * vX_[474] + vX_[3586] * vX_[4133]);
+ vX_[7502] = 0 - vX_[6658];
+ vX_[6231] = 0 - vX_[3196];
+ vX_[3232] = (vX_[6237] * vX_[482] + vX_[6221] * vX_[444] + vX_[3232] * vX_[434] + vX_[7502] * vX_[496] +
+ vX_[6231] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[6237] = vX_[3590] * vX_[2081] + vX_[6237] * vX_[483] + vX_[3232];
+ vX_[6227] = vX_[6225] * vX_[433] + vX_[6237] * vX_[421];
+ vX_[6612] = vX_[6225] * vX_[421] + vX_[6237] * vX_[394];
+ vX_[3363] = vX_[3196] * vX_[421] + vX_[6445] * vX_[433];
+ vX_[6535] = vX_[3196] * vX_[394] + vX_[6445] * vX_[421];
+ vX_[6517] =
+ vX_[3366] + vX_[6517] * vX_[474] + vX_[6357] * vX_[489] * 2. + vX_[3558] * vX_[4134] + vX_[3597] * vX_[4133];
+ vX_[3366] = vX_[6642] - vX_[6517];
+ vX_[6074] = 0 - (vX_[6074] + vX_[6161] * vX_[474] + vX_[6518] * vX_[489] + vX_[3558] * vX_[4133]);
+ vX_[6534] =
+ 0 - (vX_[6534] + vX_[6653] * vX_[474] + vX_[6605] * vX_[489] + vX_[3558] * vX_[4121] + vX_[3595] * vX_[4133]);
+ vX_[6517] = 0 - vX_[6517];
+ vX_[6106] =
+ (vX_[6074] * vX_[444] + vX_[6106] * vX_[434] + vX_[6534] * vX_[496] + vX_[6517] * vX_[505]) * 1 / vX_[470];
+ vX_[6074] = 0 - vX_[6658] + vX_[3591] * vX_[2081] + vX_[6221] * vX_[483] + vX_[6074] * vX_[471] + vX_[6106];
+ vX_[6357] = vX_[6357] + vX_[3597] * vX_[4134];
+ vX_[6616] = vX_[6616] + vX_[3595] * vX_[4121];
+ vX_[6221] = 0 - vX_[6616];
+ vX_[6605] = vX_[6605] + vX_[3595] * vX_[4134] + vX_[3597] * vX_[4121];
+ vX_[6653] = 0 - vX_[6605];
+ vX_[3558] = (vX_[6221] * vX_[496] + vX_[6653] * vX_[505]) * 1 / vX_[470];
+ vX_[6161] = 0 - vX_[6357];
+ vX_[6518] = vX_[6161] * vX_[505] * 1 / vX_[470];
+ vX_[6106] = 0 - vX_[3590] * vX_[1449] - vX_[3591] * vX_[4127] - vX_[3593] * vX_[14] - vX_[3594] * vX_[1343] +
+ vX_[3594] * vX_[2081] - vX_[3596] * vX_[1743] - vX_[3598] * vX_[4106] - vX_[3232] * vX_[483] -
+ vX_[6106] * vX_[471] - vX_[6530] * vX_[499] - vX_[3558] * vX_[551] - vX_[6518] * vX_[560];
+ vX_[3232] = 0 - vX_[6357] + vX_[6106];
+ vX_[6518] = vX_[3598] * vX_[2081] + vX_[6231] * vX_[483] + vX_[6517] * vX_[471] + vX_[6462] * vX_[499] +
+ vX_[6653] * vX_[551] + vX_[6161] * vX_[560] + vX_[6518];
+ vX_[3558] = vX_[3596] * vX_[2081] + vX_[7502] * vX_[483] + vX_[6534] * vX_[471] + vX_[6461] * vX_[499] +
+ vX_[6221] * vX_[551] + vX_[3558];
+ vX_[6221] = vX_[3232] * vX_[421] + vX_[6518] * vX_[433];
+ vX_[6534] = vX_[3232] * vX_[394] + vX_[6518] * vX_[421];
+ vX_[7502] = vX_[6221] * vX_[394] + vX_[6534] * vX_[421];
+ vX_[6461] = vX_[6357] + vX_[6221] * vX_[421];
+ vX_[3596] = vX_[6357] + vX_[6534] * vX_[394];
+ vX_[6106] = vX_[6616] + vX_[6357] + vX_[6106] - vX_[6461] - vX_[3596];
+ vX_[6616] = 0 - vX_[6106];
+ vX_[6357] = (vX_[6658] * vX_[421] + vX_[6642] * vX_[433]) * -1;
+ vX_[6161] = vX_[6357] + vX_[6616] * vX_[435];
+ vX_[6653] = 0 - vX_[6161];
+ vX_[6357] = 0 - (vX_[3366] * vX_[394] + vX_[6074] * vX_[421]) + vX_[6357];
+ vX_[6517] = (vX_[6658] * vX_[394] + vX_[6642] * vX_[421]) * -1;
+ vX_[6231] = vX_[6517] + vX_[6106] * vX_[440];
+ vX_[6462] = 0 - vX_[6231];
+ vX_[3598] = 0 - (vX_[6605] * vX_[394] + vX_[3558] * vX_[421]) + vX_[6605] * vX_[433] * -1 * 2.;
+ vX_[6530] = 0 - vX_[3598];
+ vX_[3594] = vX_[6605] * vX_[421] + vX_[3558] * vX_[433] + vX_[6605] * vX_[421] * -1 * 2.;
+ vX_[3593] = 0 - vX_[3594];
+ vX_[3633] = vX_[3633] * vX_[2089];
+ vX_[3632] = vX_[3632] * vX_[2089] + vX_[3626] * vX_[1761];
+ vX_[3626] = 0 - vX_[3632];
+ vX_[3627] = vX_[3627] * vX_[1761];
+ vX_[3652] = vX_[3625] * vX_[2077] + vX_[3652] * vX_[2082];
+ vX_[3625] = 0 - vX_[3642];
+ vX_[3591] = vX_[3625] * x_in[19] + vX_[6176] * x_in[20];
+ vX_[3590] = vX_[6187] * x_in[26];
+ vX_[6224] = 0 - vX_[3590];
+ vX_[6229] = vX_[6187] * x_in[25];
+ vX_[6650] = 0 - vX_[6229];
+ vX_[3653] = vX_[3653] * vX_[1872];
+ vX_[6443] = 0 - vX_[3596];
+ vX_[6517] = vX_[3366] * vX_[421] + vX_[6074] * vX_[433] + vX_[6517];
+ vX_[6663] = 0 - vX_[7502];
+ vX_[6614] = 0 - vX_[3596];
+ vX_[3362] = 0 - vX_[3633] - vX_[3627];
+ vX_[7436] = 0 - vX_[3652];
+ vX_[7487] = 0 - vX_[3591];
+ vX_[6776] = 0 - vX_[3653];
+ jac[274] =
+ 0 -
+ (vX_[3586] * vX_[1732] + vX_[3592] * vX_[1723] + vX_[3582] * vX_[1940] + vX_[3597] * vX_[831] +
+ vX_[3216] * vX_[480] + vX_[6234] * vX_[478] + vX_[6457] * vX_[479] + vX_[3365] * vX_[449] +
+ vX_[6658] * vX_[437] + vX_[6225] * vX_[426] + vX_[3196] * vX_[503] + vX_[6642] * vX_[492] +
+ vX_[6237] * vX_[432] + vX_[6445] * vX_[504] + vX_[6227] * vX_[431] + vX_[6612] * vX_[425] +
+ vX_[3363] * vX_[430] + vX_[6535] * vX_[420] + vX_[3366] * vX_[442] + vX_[6074] * vX_[438] +
+ vX_[3232] * vX_[468] + vX_[6518] * vX_[466] + vX_[6605] * vX_[606] + vX_[6605] * vX_[493] +
+ vX_[3558] * vX_[495] + vX_[6221] * vX_[417] + vX_[6534] * vX_[465] +
+ (vX_[7502] * vX_[441] + vX_[6616] * vX_[451] + vX_[6461] * vX_[436] + vX_[6653] * vX_[447] +
+ (vX_[6357] + vX_[6461] * vX_[435]) * 4.027 + vX_[6462] * vX_[449] + vX_[6530] * vX_[431] +
+ vX_[3593] * vX_[430] + vX_[7502] * vX_[415] + vX_[6461] * vX_[467]) *
+ -0.08 +
+ vX_[6258] * vX_[5] + vX_[6259] * vX_[1543] + vX_[6203] * vX_[10] + vX_[6206] * vX_[2916] +
+ (vX_[3595] * vX_[1732] + vX_[6258] * vX_[1882]) * -0.08 + vX_[6101] * vX_[473] + vX_[6089] * vX_[473] -
+ vX_[3633] * vX_[1702] + vX_[3634] * 0.35 + vX_[6088] * vX_[1952] + vX_[6033] * vX_[1950] +
+ vX_[6621] * vX_[1720] + vX_[2516] * vX_[1718] + vX_[6200] * vX_[1895] + vX_[6028] * vX_[473] +
+ vX_[3626] * vX_[395] + vX_[6016] * vX_[1961] + vX_[6032] * vX_[1957] + vX_[7479] * vX_[1730] +
+ vX_[7096] * vX_[1726] + vX_[2958] * vX_[1897] + vX_[6216] * vX_[391] + vX_[5960] * vX_[473] -
+ vX_[3627] * vX_[1702] + vX_[3629] * vX_[1760] + vX_[3612] * vX_[1758] + vX_[3628] * vX_[1910] +
+ vX_[5943] * vX_[1908] + vX_[3652] * vX_[1702] * -0.33 + vX_[5928] * vX_[1807] + vX_[6183] * vX_[1805] +
+ vX_[5819] * vX_[1826] + vX_[3591] * vX_[1702] * -0.33 + vX_[6210] * vX_[1841] + vX_[6371] * vX_[1789] +
+ vX_[5827] * vX_[1839] + vX_[5718] * vX_[1783] + vX_[5821] * vX_[1795] + vX_[5817] * vX_[1785] +
+ vX_[6208] * vX_[1793] + vX_[6248] * vX_[1791] + vX_[6224] * vX_[395] * 0.33 + (0 - vX_[6229]) * 0.35 +
+ vX_[6650] * vX_[395] * 0.33 + vX_[6174] * vX_[1881] + vX_[6162] * vX_[1879] + vX_[5798] * vX_[1869] +
+ vX_[5802] * vX_[1824] + vX_[3653] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[3586] * vX_[1723] + vX_[3582] * vX_[831] + vX_[3216] * vX_[478] + vX_[6457] * vX_[449] +
+ vX_[3365] * vX_[477] + vX_[6658] * vX_[492] + vX_[3196] * vX_[504] + vX_[6237] * vX_[426] +
+ vX_[6227] * vX_[430] + vX_[6612] * vX_[420] + vX_[3366] * vX_[438] + vX_[3232] * vX_[466] +
+ vX_[6605] * vX_[495] + vX_[6221] * vX_[465] + vX_[6534] * vX_[462] + vX_[6259] * vX_[5] +
+ vX_[6206] * vX_[10] - (vX_[3592] * vX_[1732] + vX_[6258] * vX_[1543]) +
+ (vX_[3595] * vX_[1723] +
+ (vX_[6106] * vX_[450] + vX_[6443] * vX_[441] + vX_[6161] * vX_[449] + vX_[6231] * vX_[448] +
+ (0 - (vX_[6517] + vX_[7502] * vX_[435] + vX_[6443] * vX_[440])) * 4.027 + vX_[3598] * vX_[425] +
+ vX_[3594] * vX_[420] + vX_[6663] * vX_[427] + vX_[6614] * vX_[461]) *
+ -1 +
+ vX_[6259] * vX_[1882]) *
+ -0.08 -
+ (vX_[3597] * vX_[1940] + vX_[6234] * vX_[480] + vX_[6225] * vX_[432] + vX_[6642] * vX_[437] +
+ vX_[6445] * vX_[503] + vX_[3363] * vX_[431] + vX_[6535] * vX_[425] + vX_[6074] * vX_[442] +
+ vX_[6518] * vX_[468] + vX_[6605] * vX_[494] + vX_[3558] * vX_[493] + vX_[6203] * vX_[2916]) +
+ vX_[6372] * vX_[391] + vX_[7508] * vX_[391] + vX_[3616] * vX_[1946] + vX_[6105] * vX_[1713] +
+ vX_[6088] * vX_[1953] + vX_[6033] * vX_[1949] + vX_[6621] * vX_[1721] + vX_[6388] * vX_[1717] +
+ vX_[7107] * vX_[1897] + vX_[7090] * vX_[391] + vX_[3632] * vX_[1702] + vX_[6014] * vX_[1960] +
+ vX_[6032] * vX_[1958] + vX_[7479] * vX_[1729] + vX_[7096] * vX_[1727] + vX_[3614] * vX_[1901] +
+ vX_[7103] * vX_[391] + vX_[3615] * vX_[473] + vX_[3362] * vX_[395] + vX_[6189] * vX_[1756] +
+ vX_[5959] * vX_[1906] + (0 - vX_[3652]) * 0.35 + vX_[7436] * vX_[395] * 0.33 + vX_[6179] * vX_[1803] +
+ vX_[5830] * vX_[1822] + (0 - vX_[3591]) * 0.35 + vX_[7487] * vX_[395] * 0.33 + vX_[3620] * vX_[1843] +
+ vX_[3243] * vX_[1834] + vX_[6213] * vX_[1791] + vX_[5823] * vX_[1837] + vX_[5826] * vX_[1797] +
+ vX_[5816] * vX_[1787] + vX_[5825] * vX_[1783] + vX_[3727] * vX_[1789] + vX_[3590] * vX_[1702] * 0.33 +
+ vX_[6229] * vX_[1702] * 0.33 + vX_[6178] * vX_[1877] + vX_[5792] * vX_[1867] + (0 - vX_[3653]) * 0.35 +
+ vX_[6776] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[5365] = vX_[3749] + vX_[5365] * vX_[473] + vX_[5352] * vX_[487];
+ vX_[5360] = vX_[3749] + vX_[5362] * vX_[487] + vX_[5360] * vX_[485];
+ vX_[5226] = vX_[6607] + vX_[3357] + vX_[3749] - vX_[5365] - vX_[5360] + vX_[3758] * vX_[474] + vX_[5226] * vX_[393];
+ vX_[5360] = vX_[5360] + vX_[3622] * vX_[393] + vX_[5762] * vX_[489] + vX_[3988] * vX_[4124];
+ vX_[3622] = vX_[5226] - vX_[5360];
+ vX_[5366] = vX_[5358] * vX_[473] + vX_[5366] * vX_[487] + vX_[5785] * vX_[489] + vX_[3761] * vX_[474] +
+ vX_[5530] * vX_[393] + vX_[3982] * vX_[4124];
+ vX_[5530] = vX_[3622] * vX_[421] + vX_[5366] * vX_[433];
+ vX_[3761] = vX_[3622] * vX_[394] + vX_[5366] * vX_[421];
+ vX_[5781] = vX_[3638] + vX_[5781] * vX_[393] + vX_[5749] * vX_[474] * 2. + vX_[3982] * vX_[4121];
+ vX_[3638] = 0 - vX_[5366];
+ vX_[5168] = 0 - (vX_[5362] * vX_[473] + vX_[5352] * vX_[485] + vX_[5355] * vX_[487] + vX_[5788] * vX_[393] +
+ vX_[5168] * vX_[474] + vX_[5513] * vX_[489] + vX_[3954] * vX_[4124] + vX_[3988] * vX_[4133]);
+ vX_[5355] = 0 - vX_[5360];
+ vX_[5764] =
+ vX_[5587] + vX_[5764] * vX_[393] + vX_[5400] * vX_[489] * 2. + vX_[3988] * vX_[4121] + vX_[3991] * vX_[4124];
+ vX_[5400] = 0 - vX_[5764];
+ vX_[5410] = vX_[5514] + vX_[5603] * vX_[393] + vX_[5410] * vX_[489] + vX_[3988] * vX_[4134] + vX_[3993] * vX_[4124];
+ vX_[5514] = 0 - vX_[5410];
+ vX_[5603] = (vX_[5355] * vX_[434] + vX_[5400] * vX_[496] + vX_[5514] * vX_[505]) * 1 / vX_[470];
+ vX_[5355] = vX_[3989] * vX_[2081] + vX_[3638] * vX_[483] + vX_[5168] * vX_[471] + vX_[5355] * vX_[499] + vX_[5603];
+ vX_[3602] = vX_[3759] + vX_[5731] * vX_[474] + vX_[3602] * vX_[393] * 2. + vX_[3982] * vX_[4134];
+ vX_[5226] = 0 - vX_[5226];
+ vX_[5369] = 0 - (0 - (vX_[5358] * vX_[487] + vX_[5369] * vX_[485]) + vX_[5658] * vX_[489] + vX_[5385] * vX_[393] +
+ vX_[6662] * vX_[474] + vX_[3982] * vX_[4133]);
+ vX_[6662] = 0 - vX_[5781];
+ vX_[5358] = 0 - vX_[3602];
+ vX_[3638] = (vX_[5226] * vX_[482] + vX_[5369] * vX_[444] + vX_[3638] * vX_[434] + vX_[6662] * vX_[496] +
+ vX_[5358] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[5226] = vX_[3986] * vX_[2081] + vX_[5226] * vX_[483] + vX_[3638];
+ vX_[5385] = vX_[5355] * vX_[433] + vX_[5226] * vX_[421];
+ vX_[5658] = vX_[5355] * vX_[421] + vX_[5226] * vX_[394];
+ vX_[3759] = vX_[3602] * vX_[421] + vX_[5410] * vX_[433];
+ vX_[5587] = vX_[3602] * vX_[394] + vX_[5410] * vX_[421];
+ vX_[5512] =
+ vX_[3762] + vX_[5512] * vX_[474] + vX_[5677] * vX_[489] * 2. + vX_[3954] * vX_[4134] + vX_[3993] * vX_[4133];
+ vX_[3762] = vX_[5764] - vX_[5512];
+ vX_[5365] = 0 - (vX_[5365] + vX_[5166] * vX_[474] + vX_[5531] * vX_[489] + vX_[3954] * vX_[4133]);
+ vX_[5526] =
+ 0 - (vX_[5526] + vX_[5771] * vX_[474] + vX_[5731] * vX_[489] + vX_[3954] * vX_[4121] + vX_[3991] * vX_[4133]);
+ vX_[5512] = 0 - vX_[5512];
+ vX_[5168] =
+ (vX_[5365] * vX_[444] + vX_[5168] * vX_[434] + vX_[5526] * vX_[496] + vX_[5512] * vX_[505]) * 1 / vX_[470];
+ vX_[5365] = 0 - vX_[5781] + vX_[3987] * vX_[2081] + vX_[5369] * vX_[483] + vX_[5365] * vX_[471] + vX_[5168];
+ vX_[5677] = vX_[5677] + vX_[3993] * vX_[4134];
+ vX_[5749] = vX_[5749] + vX_[3991] * vX_[4121];
+ vX_[5369] = 0 - vX_[5749];
+ vX_[5731] = vX_[5731] + vX_[3991] * vX_[4134] + vX_[3993] * vX_[4121];
+ vX_[5771] = 0 - vX_[5731];
+ vX_[3954] = (vX_[5369] * vX_[496] + vX_[5771] * vX_[505]) * 1 / vX_[470];
+ vX_[5166] = 0 - vX_[5677];
+ vX_[5531] = vX_[5166] * vX_[505] * 1 / vX_[470];
+ vX_[5168] = 0 - vX_[3986] * vX_[1449] - vX_[3987] * vX_[4127] - vX_[3989] * vX_[14] - vX_[3990] * vX_[1343] +
+ vX_[3990] * vX_[2081] - vX_[3992] * vX_[1743] - vX_[3994] * vX_[4106] - vX_[3638] * vX_[483] -
+ vX_[5168] * vX_[471] - vX_[5603] * vX_[499] - vX_[3954] * vX_[551] - vX_[5531] * vX_[560];
+ vX_[3638] = 0 - vX_[5677] + vX_[5168];
+ vX_[5531] = vX_[3994] * vX_[2081] + vX_[5358] * vX_[483] + vX_[5512] * vX_[471] + vX_[5514] * vX_[499] +
+ vX_[5771] * vX_[551] + vX_[5166] * vX_[560] + vX_[5531];
+ vX_[3954] = vX_[3992] * vX_[2081] + vX_[6662] * vX_[483] + vX_[5526] * vX_[471] + vX_[5400] * vX_[499] +
+ vX_[5369] * vX_[551] + vX_[3954];
+ vX_[5369] = vX_[3638] * vX_[421] + vX_[5531] * vX_[433];
+ vX_[5526] = vX_[3638] * vX_[394] + vX_[5531] * vX_[421];
+ vX_[6662] = vX_[5369] * vX_[394] + vX_[5526] * vX_[421];
+ vX_[5400] = vX_[5677] + vX_[5369] * vX_[421];
+ vX_[3992] = vX_[5677] + vX_[5526] * vX_[394];
+ vX_[5168] = vX_[5749] + vX_[5677] + vX_[5168] - vX_[5400] - vX_[3992];
+ vX_[5749] = 0 - vX_[5168];
+ vX_[5677] = (vX_[5781] * vX_[421] + vX_[5764] * vX_[433]) * -1;
+ vX_[5166] = vX_[5677] + vX_[5749] * vX_[435];
+ vX_[5771] = 0 - vX_[5166];
+ vX_[5677] = 0 - (vX_[3762] * vX_[394] + vX_[5365] * vX_[421]) + vX_[5677];
+ vX_[5512] = (vX_[5781] * vX_[394] + vX_[5764] * vX_[421]) * -1;
+ vX_[5358] = vX_[5512] + vX_[5168] * vX_[440];
+ vX_[5514] = 0 - vX_[5358];
+ vX_[3994] = 0 - (vX_[5731] * vX_[394] + vX_[3954] * vX_[421]) + vX_[5731] * vX_[433] * -1 * 2.;
+ vX_[5603] = 0 - vX_[3994];
+ vX_[3990] = vX_[5731] * vX_[421] + vX_[3954] * vX_[433] + vX_[5731] * vX_[421] * -1 * 2.;
+ vX_[3989] = 0 - vX_[3990];
+ vX_[4029] = vX_[4029] * vX_[2089];
+ vX_[4028] = vX_[4028] * vX_[2089] + vX_[4022] * vX_[1761];
+ vX_[4022] = 0 - vX_[4028];
+ vX_[4023] = vX_[4023] * vX_[1761];
+ vX_[4048] = vX_[4021] * vX_[2077] + vX_[4048] * vX_[2082];
+ vX_[4021] = 0 - vX_[4038];
+ vX_[3987] = vX_[4021] * x_in[19] + vX_[5312] * x_in[20];
+ vX_[3986] = vX_[5330] * x_in[26];
+ vX_[5352] = 0 - vX_[3986];
+ vX_[5362] = vX_[5330] * x_in[25];
+ vX_[5788] = 0 - vX_[5362];
+ vX_[4049] = vX_[4049] * vX_[1872];
+ vX_[5513] = 0 - vX_[3992];
+ vX_[5512] = vX_[3762] * vX_[421] + vX_[5365] * vX_[433] + vX_[5512];
+ vX_[5785] = 0 - vX_[6662];
+ vX_[5762] = 0 - vX_[3992];
+ vX_[3758] = 0 - vX_[4029] - vX_[4023];
+ vX_[6443] = 0 - vX_[4048];
+ vX_[6616] = 0 - vX_[3987];
+ vX_[6106] = 0 - vX_[4049];
+ jac[275] =
+ 0 -
+ (vX_[3982] * vX_[1732] + vX_[3988] * vX_[1723] + vX_[3978] * vX_[1940] + vX_[3993] * vX_[831] +
+ vX_[3622] * vX_[480] + vX_[5366] * vX_[478] + vX_[5530] * vX_[479] + vX_[3761] * vX_[449] +
+ vX_[5781] * vX_[437] + vX_[5355] * vX_[426] + vX_[3602] * vX_[503] + vX_[5764] * vX_[492] +
+ vX_[5226] * vX_[432] + vX_[5410] * vX_[504] + vX_[5385] * vX_[431] + vX_[5658] * vX_[425] +
+ vX_[3759] * vX_[430] + vX_[5587] * vX_[420] + vX_[3762] * vX_[442] + vX_[5365] * vX_[438] +
+ vX_[3638] * vX_[468] + vX_[5531] * vX_[466] + vX_[5731] * vX_[606] + vX_[5731] * vX_[493] +
+ vX_[3954] * vX_[495] + vX_[5369] * vX_[417] + vX_[5526] * vX_[465] +
+ (vX_[6662] * vX_[441] + vX_[5749] * vX_[451] + vX_[5400] * vX_[436] + vX_[5771] * vX_[447] +
+ (vX_[5677] + vX_[5400] * vX_[435]) * 4.027 + vX_[5514] * vX_[449] + vX_[5603] * vX_[431] +
+ vX_[3989] * vX_[430] + vX_[6662] * vX_[415] + vX_[5400] * vX_[467]) *
+ -0.08 +
+ vX_[5299] * vX_[5] + vX_[5398] * vX_[1543] + vX_[5328] * vX_[10] + vX_[5364] * vX_[2916] +
+ (vX_[3991] * vX_[1732] + vX_[5299] * vX_[1882]) * -0.08 + vX_[5184] * vX_[473] + vX_[5112] * vX_[473] -
+ vX_[4029] * vX_[1702] + vX_[4030] * 0.35 + vX_[5093] * vX_[1952] + vX_[5095] * vX_[1950] +
+ vX_[5733] * vX_[1720] + vX_[7499] * vX_[1718] + vX_[5348] * vX_[1895] + vX_[5111] * vX_[473] +
+ vX_[4022] * vX_[395] + vX_[4981] * vX_[1961] + vX_[4971] * vX_[1957] + vX_[6611] * vX_[1730] +
+ vX_[6254] * vX_[1726] + vX_[3364] * vX_[1897] + vX_[5153] * vX_[391] + vX_[4979] * vX_[473] -
+ vX_[4023] * vX_[1702] + vX_[4025] * vX_[1760] + vX_[4008] * vX_[1758] + vX_[4024] * vX_[1910] +
+ vX_[4978] * vX_[1908] + vX_[4048] * vX_[1702] * -0.33 + vX_[5258] * vX_[1807] + vX_[5239] * vX_[1805] +
+ vX_[4977] * vX_[1826] + vX_[3987] * vX_[1702] * -0.33 + vX_[5337] * vX_[1841] + vX_[5397] * vX_[1789] +
+ vX_[4960] * vX_[1839] + vX_[4957] * vX_[1783] + vX_[4954] * vX_[1795] + vX_[4947] * vX_[1785] +
+ vX_[5341] * vX_[1793] + vX_[5406] * vX_[1791] + vX_[5352] * vX_[395] * 0.33 + (0 - vX_[5362]) * 0.35 +
+ vX_[5788] * vX_[395] * 0.33 + vX_[5257] * vX_[1881] + vX_[5185] * vX_[1879] + vX_[4956] * vX_[1869] +
+ vX_[4929] * vX_[1824] + vX_[4049] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[3982] * vX_[1723] + vX_[3978] * vX_[831] + vX_[3622] * vX_[478] + vX_[5530] * vX_[449] +
+ vX_[3761] * vX_[477] + vX_[5781] * vX_[492] + vX_[3602] * vX_[504] + vX_[5226] * vX_[426] +
+ vX_[5385] * vX_[430] + vX_[5658] * vX_[420] + vX_[3762] * vX_[438] + vX_[3638] * vX_[466] +
+ vX_[5731] * vX_[495] + vX_[5369] * vX_[465] + vX_[5526] * vX_[462] + vX_[5398] * vX_[5] +
+ vX_[5364] * vX_[10] - (vX_[3988] * vX_[1732] + vX_[5299] * vX_[1543]) +
+ (vX_[3991] * vX_[1723] +
+ (vX_[5168] * vX_[450] + vX_[5513] * vX_[441] + vX_[5166] * vX_[449] + vX_[5358] * vX_[448] +
+ (0 - (vX_[5512] + vX_[6662] * vX_[435] + vX_[5513] * vX_[440])) * 4.027 + vX_[3994] * vX_[425] +
+ vX_[3990] * vX_[420] + vX_[5785] * vX_[427] + vX_[5762] * vX_[461]) *
+ -1 +
+ vX_[5398] * vX_[1882]) *
+ -0.08 -
+ (vX_[3993] * vX_[1940] + vX_[5366] * vX_[480] + vX_[5355] * vX_[432] + vX_[5764] * vX_[437] +
+ vX_[5410] * vX_[503] + vX_[3759] * vX_[431] + vX_[5587] * vX_[425] + vX_[5365] * vX_[442] +
+ vX_[5531] * vX_[468] + vX_[5731] * vX_[494] + vX_[3954] * vX_[493] + vX_[5328] * vX_[2916]) +
+ vX_[5407] * vX_[391] + vX_[6637] * vX_[391] + vX_[4012] * vX_[1946] + vX_[5107] * vX_[1713] +
+ vX_[5093] * vX_[1953] + vX_[5095] * vX_[1949] + vX_[5733] * vX_[1721] + vX_[5402] * vX_[1717] +
+ vX_[6246] * vX_[1897] + vX_[6238] * vX_[391] + vX_[4028] * vX_[1702] + vX_[5094] * vX_[1960] +
+ vX_[4971] * vX_[1958] + vX_[6611] * vX_[1729] + vX_[6254] * vX_[1727] + vX_[4010] * vX_[1901] +
+ vX_[6235] * vX_[391] + vX_[4011] * vX_[473] + vX_[3758] * vX_[395] + vX_[5326] * vX_[1756] +
+ vX_[4973] * vX_[1906] + (0 - vX_[4048]) * 0.35 + vX_[6443] * vX_[395] * 0.33 + vX_[5241] * vX_[1803] +
+ vX_[4969] * vX_[1822] + (0 - vX_[3987]) * 0.35 + vX_[6616] * vX_[395] * 0.33 + vX_[4016] * vX_[1843] +
+ vX_[3649] * vX_[1834] + vX_[5345] * vX_[1791] + vX_[4950] * vX_[1837] + vX_[4958] * vX_[1797] +
+ vX_[4944] * vX_[1787] + vX_[4952] * vX_[1783] + vX_[4123] * vX_[1789] + vX_[3986] * vX_[1702] * 0.33 +
+ vX_[5362] * vX_[1702] * 0.33 + vX_[5180] * vX_[1877] + vX_[4940] * vX_[1867] + (0 - vX_[4049]) * 0.35 +
+ vX_[6106] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[4295] = vX_[4167] + vX_[4295] * vX_[473] + vX_[4497] * vX_[487];
+ vX_[4506] = vX_[4167] + vX_[4502] * vX_[487] + vX_[4506] * vX_[485];
+ vX_[4510] = vX_[5659] + vX_[6683] + vX_[4167] - vX_[4295] - vX_[4506] + vX_[4173] * vX_[474] + vX_[4510] * vX_[393];
+ vX_[4506] = vX_[4506] + vX_[3755] * vX_[393] + vX_[4902] * vX_[489] + vX_[4403] * vX_[4124];
+ vX_[3755] = vX_[4510] - vX_[4506];
+ vX_[4507] = vX_[4504] * vX_[473] + vX_[4507] * vX_[487] + vX_[4931] * vX_[489] + vX_[4176] * vX_[474] +
+ vX_[4682] * vX_[393] + vX_[4397] * vX_[4124];
+ vX_[4682] = vX_[3755] * vX_[421] + vX_[4507] * vX_[433];
+ vX_[4176] = vX_[3755] * vX_[394] + vX_[4507] * vX_[421];
+ vX_[4926] = vX_[5779] + vX_[4926] * vX_[393] + vX_[4901] * vX_[474] * 2. + vX_[4397] * vX_[4121];
+ vX_[5779] = vX_[1674] * vX_[4518] + vX_[392] * vX_[4368] + vX_[1673] * vX_[5604] + vX_[1672] * vX_[4013] +
+ vX_[1671] * vX_[4885] + vX_[4124];
+ vX_[4931] = 0 - vX_[4507];
+ vX_[4254] = 0 - (vX_[4502] * vX_[473] + vX_[4497] * vX_[485] + vX_[4498] * vX_[487] + vX_[4936] * vX_[393] +
+ vX_[4254] * vX_[474] + vX_[4665] * vX_[489] + vX_[4369] * vX_[4124] + vX_[4403] * vX_[4133]);
+ vX_[4498] = 0 - vX_[4506];
+ vX_[4915] =
+ vX_[4739] + vX_[4915] * vX_[393] + vX_[4542] * vX_[489] * 2. + vX_[4403] * vX_[4121] + vX_[4406] * vX_[4124];
+ vX_[4542] = 0 - vX_[4915];
+ vX_[4552] = vX_[4666] + vX_[4755] * vX_[393] + vX_[4552] * vX_[489] + vX_[4403] * vX_[4134] + vX_[4408] * vX_[4124];
+ vX_[4666] = 0 - vX_[4552];
+ vX_[4755] = (vX_[4498] * vX_[434] + vX_[4542] * vX_[496] + vX_[4666] * vX_[505]) * 1 / vX_[470];
+ vX_[4498] = vX_[2914] * vX_[5779] + vX_[4404] * vX_[2081] + vX_[4931] * vX_[483] + vX_[4254] * vX_[471] +
+ vX_[4498] * vX_[499] + vX_[4755];
+ vX_[5645] = vX_[4174] + vX_[4169] * vX_[474] + vX_[5645] * vX_[393] * 2. + vX_[4397] * vX_[4134];
+ vX_[1647] = 0 - vX_[1647];
+ vX_[4174] = 0.207 * vX_[5604] + -1 * vX_[1647];
+ vX_[4510] = 0 - vX_[4510];
+ vX_[4494] = 0 - (0 - (vX_[4504] * vX_[487] + vX_[4494] * vX_[485]) + vX_[4810] * vX_[489] + vX_[4500] * vX_[393] +
+ vX_[3754] * vX_[474] + vX_[4397] * vX_[4133]);
+ vX_[3754] = 0 - vX_[4926];
+ vX_[4504] = 0 - vX_[5645];
+ vX_[4931] = (vX_[4510] * vX_[482] + vX_[4494] * vX_[444] + vX_[4931] * vX_[434] + vX_[3754] * vX_[496] +
+ vX_[4504] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[4510] = vX_[4149] * vX_[4174] + vX_[4401] * vX_[2081] + vX_[4510] * vX_[483] + vX_[4931];
+ vX_[4149] = vX_[4498] * vX_[433] + vX_[4510] * vX_[421];
+ vX_[4500] = vX_[4498] * vX_[421] + vX_[4510] * vX_[394];
+ vX_[4810] = vX_[5645] * vX_[421] + vX_[4552] * vX_[433];
+ vX_[2914] = vX_[5645] * vX_[394] + vX_[4552] * vX_[421];
+ vX_[4664] =
+ vX_[4177] + vX_[4664] * vX_[474] + vX_[4829] * vX_[489] * 2. + vX_[4369] * vX_[4134] + vX_[4408] * vX_[4133];
+ vX_[4177] = vX_[4915] - vX_[4664];
+ vX_[4739] = vX_[486] * vX_[4518] + vX_[1659] * vX_[4368] + vX_[488] * vX_[5604] + vX_[1651] * vX_[4013] +
+ vX_[473] * vX_[4885] + vX_[4133];
+ vX_[4295] = 0 - (vX_[4295] + vX_[4309] * vX_[474] + vX_[4683] * vX_[489] + vX_[4369] * vX_[4133]);
+ vX_[4678] =
+ 0 - (vX_[4678] + vX_[4724] * vX_[474] + vX_[4169] * vX_[489] + vX_[4369] * vX_[4121] + vX_[4406] * vX_[4133]);
+ vX_[4664] = 0 - vX_[4664];
+ vX_[4254] =
+ (vX_[4295] * vX_[444] + vX_[4254] * vX_[434] + vX_[4678] * vX_[496] + vX_[4664] * vX_[505]) * 1 / vX_[470];
+ vX_[4295] = 0 - vX_[4926] + vX_[2937] * vX_[4739] + vX_[4402] * vX_[2081] + vX_[4494] * vX_[483] +
+ vX_[4295] * vX_[471] + vX_[4254];
+ vX_[4829] = vX_[4829] + vX_[4408] * vX_[4134];
+ vX_[4494] = -1 * vX_[4368];
+ vX_[2937] = vX_[473] * vX_[5604] + vX_[487] * vX_[4518] + vX_[4121];
+ vX_[4724] = vX_[487] * vX_[5604] + vX_[485] * vX_[4518] + vX_[4134];
+ vX_[4369] = (vX_[2081] - vX_[470] * vX_[4494] - vX_[496] * vX_[2937] - vX_[505] * vX_[4724] - vX_[482] * vX_[4174] -
+ vX_[444] * vX_[4739] - vX_[434] * vX_[5779]) /
+ vX_[470];
+ vX_[4901] = vX_[4901] + vX_[4406] * vX_[4121];
+ vX_[4309] = 0 - vX_[4901];
+ vX_[4169] = vX_[4169] + vX_[4406] * vX_[4134] + vX_[4408] * vX_[4121];
+ vX_[4683] = 0 - vX_[4169];
+ vX_[4497] = (vX_[4309] * vX_[496] + vX_[4683] * vX_[505]) * 1 / vX_[470];
+ vX_[4502] = 0 - vX_[4829];
+ vX_[4936] = vX_[4502] * vX_[505] * 1 / vX_[470];
+ vX_[4254] = 0 - vX_[2911] * vX_[4369] + vX_[4141] * vX_[4494] - vX_[4401] * vX_[1449] - vX_[4402] * vX_[4127] -
+ vX_[4404] * vX_[14] - vX_[4405] * vX_[1343] + vX_[4405] * vX_[2081] - vX_[4407] * vX_[1743] -
+ vX_[4409] * vX_[4106] - vX_[4931] * vX_[483] - vX_[4254] * vX_[471] - vX_[4755] * vX_[499] -
+ vX_[4497] * vX_[551] - vX_[4936] * vX_[560];
+ vX_[4931] = 0 - vX_[4829] + vX_[4254];
+ vX_[4936] = vX_[4145] * vX_[4724] + vX_[4409] * vX_[2081] + vX_[4504] * vX_[483] + vX_[4664] * vX_[471] +
+ vX_[4666] * vX_[499] + vX_[4683] * vX_[551] + vX_[4502] * vX_[560] + vX_[4936];
+ vX_[4497] = vX_[4143] * vX_[2937] + vX_[4407] * vX_[2081] + vX_[3754] * vX_[483] + vX_[4678] * vX_[471] +
+ vX_[4542] * vX_[499] + vX_[4309] * vX_[551] + vX_[4497];
+ vX_[4309] = vX_[4931] * vX_[421] + vX_[4936] * vX_[433];
+ vX_[4678] = vX_[4931] * vX_[394] + vX_[4936] * vX_[421];
+ vX_[3754] = vX_[4309] * vX_[394] + vX_[4678] * vX_[421];
+ vX_[4542] = vX_[4829] + vX_[4309] * vX_[421];
+ vX_[4407] = vX_[4829] + vX_[4678] * vX_[394];
+ vX_[4254] = vX_[4901] + vX_[4829] + vX_[4254] - vX_[4542] - vX_[4407];
+ vX_[4901] = 0 - vX_[4254];
+ vX_[4829] = (vX_[4926] * vX_[421] + vX_[4915] * vX_[433]) * -1;
+ vX_[4143] = vX_[4829] + vX_[4901] * vX_[435];
+ vX_[4502] = 0 - vX_[4143];
+ vX_[4829] = 0 - (vX_[4177] * vX_[394] + vX_[4295] * vX_[421]) + vX_[4829];
+ vX_[4683] = (vX_[4926] * vX_[394] + vX_[4915] * vX_[421]) * -1;
+ vX_[4664] = vX_[4683] + vX_[4254] * vX_[440];
+ vX_[4504] = 0 - vX_[4664];
+ vX_[4666] = 0 - (vX_[4169] * vX_[394] + vX_[4497] * vX_[421]) + vX_[4169] * vX_[433] * -1 * 2.;
+ vX_[4409] = 0 - vX_[4666];
+ vX_[4145] = vX_[4169] * vX_[421] + vX_[4497] * vX_[433] + vX_[4169] * vX_[421] * -1 * 2.;
+ vX_[4755] = 0 - vX_[4145];
+ vX_[4444] = vX_[4444] * vX_[2089];
+ vX_[4443] = vX_[4443] * vX_[2089] + vX_[4437] * vX_[1761];
+ vX_[4437] = 0 - vX_[4443];
+ vX_[4438] = vX_[4438] * vX_[1761];
+ vX_[4463] = vX_[4436] * vX_[2077] + vX_[4463] * vX_[2082];
+ vX_[4436] = 0 - vX_[4453];
+ vX_[4405] = vX_[4436] * x_in[19] + vX_[4455] * x_in[20];
+ vX_[4404] = vX_[4395] * x_in[26];
+ vX_[4402] = 0 - vX_[4404];
+ vX_[4401] = vX_[4395] * x_in[25];
+ vX_[4141] = 0 - vX_[4401];
+ vX_[4464] = vX_[4464] * vX_[1872];
+ vX_[2911] = 0 - vX_[4407];
+ vX_[4683] = vX_[4177] * vX_[421] + vX_[4295] * vX_[433] + vX_[4683];
+ vX_[4665] = 0 - vX_[3754];
+ vX_[4902] = 0 - vX_[4407];
+ vX_[4173] = 0 - vX_[4444] - vX_[4438];
+ vX_[5513] = 0 - vX_[4463];
+ vX_[5749] = 0 - vX_[4405];
+ vX_[5168] = 0 - vX_[4464];
+ jac[276] =
+ 0 -
+ (vX_[4397] * vX_[1732] + vX_[4403] * vX_[1723] + vX_[4393] * vX_[1940] + vX_[4408] * vX_[831] +
+ vX_[3755] * vX_[480] + vX_[4507] * vX_[478] + vX_[4682] * vX_[479] + vX_[4176] * vX_[449] +
+ vX_[4926] * vX_[437] + vX_[4498] * vX_[426] + vX_[5645] * vX_[503] + vX_[4915] * vX_[492] +
+ vX_[4510] * vX_[432] + vX_[4552] * vX_[504] + vX_[4149] * vX_[431] + vX_[4500] * vX_[425] +
+ vX_[4810] * vX_[430] + vX_[2914] * vX_[420] + vX_[4177] * vX_[442] + vX_[4295] * vX_[438] +
+ vX_[4931] * vX_[468] + vX_[4936] * vX_[466] + vX_[4169] * vX_[606] + vX_[4169] * vX_[493] +
+ vX_[4497] * vX_[495] + vX_[4309] * vX_[417] + vX_[4678] * vX_[465] +
+ (vX_[3754] * vX_[441] + vX_[4901] * vX_[451] + vX_[4542] * vX_[436] + vX_[4502] * vX_[447] +
+ (vX_[4829] + vX_[4542] * vX_[435]) * 4.027 + vX_[4504] * vX_[449] + vX_[4409] * vX_[431] +
+ vX_[4755] * vX_[430] + vX_[3754] * vX_[415] + vX_[4542] * vX_[467]) *
+ -0.08 +
+ vX_[4548] * vX_[5] + vX_[4531] * vX_[1543] + vX_[4476] * vX_[10] + vX_[4479] * vX_[2916] +
+ (vX_[4406] * vX_[1732] + vX_[4548] * vX_[1882]) * -0.08 + vX_[4249] * vX_[473] + vX_[4237] * vX_[473] -
+ vX_[4444] * vX_[1702] + vX_[4445] * 0.35 + vX_[4236] * vX_[1952] + vX_[2908] * vX_[1950] +
+ vX_[4553] * vX_[1720] + vX_[5787] * vX_[1718] + vX_[4470] * vX_[1895] + vX_[2898] * vX_[473] +
+ vX_[4437] * vX_[395] + vX_[2906] * vX_[1961] + vX_[2902] * vX_[1957] + vX_[5586] * vX_[1730] +
+ vX_[5732] * vX_[1726] + vX_[5376] * vX_[1897] + vX_[4489] * vX_[391] + vX_[2905] * vX_[473] -
+ vX_[4438] * vX_[1702] + vX_[4440] * vX_[1760] + vX_[4423] * vX_[1758] + vX_[4439] * vX_[1910] +
+ vX_[2797] * vX_[1908] + vX_[4463] * vX_[1702] * -0.33 + vX_[4383] * vX_[1807] + vX_[4382] * vX_[1805] +
+ vX_[2877] * vX_[1826] + vX_[4405] * vX_[1702] * -0.33 + vX_[4483] * vX_[1841] + vX_[4441] * vX_[1789] +
+ vX_[2885] * vX_[1839] + vX_[2724] * vX_[1783] + vX_[2879] * vX_[1795] + vX_[2875] * vX_[1785] +
+ vX_[4481] * vX_[1793] + vX_[4540] * vX_[1791] + vX_[4402] * vX_[395] * 0.33 + (0 - vX_[4401]) * 0.35 +
+ vX_[4141] * vX_[395] * 0.33 + vX_[4322] * vX_[1881] + vX_[4310] * vX_[1879] + vX_[2856] * vX_[1869] +
+ vX_[2860] * vX_[1824] + vX_[4464] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[4397] * vX_[1723] + vX_[4393] * vX_[831] + vX_[3755] * vX_[478] + vX_[4682] * vX_[449] +
+ vX_[4176] * vX_[477] + vX_[4926] * vX_[492] + vX_[5645] * vX_[504] + vX_[4510] * vX_[426] +
+ vX_[4149] * vX_[430] + vX_[4500] * vX_[420] + vX_[4177] * vX_[438] + vX_[4931] * vX_[466] +
+ vX_[4169] * vX_[495] + vX_[4309] * vX_[465] + vX_[4678] * vX_[462] + vX_[4531] * vX_[5] +
+ vX_[4479] * vX_[10] - (vX_[4403] * vX_[1732] + vX_[4548] * vX_[1543]) +
+ (vX_[4406] * vX_[1723] +
+ (vX_[4254] * vX_[450] + vX_[2911] * vX_[441] + vX_[4143] * vX_[449] + vX_[4664] * vX_[448] +
+ (0 - (vX_[4683] + vX_[3754] * vX_[435] + vX_[2911] * vX_[440])) * 4.027 + vX_[4666] * vX_[425] +
+ vX_[4145] * vX_[420] + vX_[4665] * vX_[427] + vX_[4902] * vX_[461]) *
+ -1 +
+ vX_[4531] * vX_[1882]) *
+ -0.08 -
+ (vX_[4408] * vX_[1940] + vX_[4507] * vX_[480] + vX_[4498] * vX_[432] + vX_[4915] * vX_[437] +
+ vX_[4552] * vX_[503] + vX_[4810] * vX_[431] + vX_[2914] * vX_[425] + vX_[4295] * vX_[442] +
+ vX_[4936] * vX_[468] + vX_[4169] * vX_[494] + vX_[4497] * vX_[493] + vX_[4476] * vX_[2916]) +
+ vX_[4544] * vX_[391] + vX_[5750] * vX_[391] + vX_[4427] * vX_[1946] + vX_[4253] * vX_[1713] +
+ vX_[4236] * vX_[1953] + vX_[2908] * vX_[1949] + vX_[4553] * vX_[1721] + vX_[4539] * vX_[1717] +
+ vX_[5381] * vX_[1897] + vX_[3760] * vX_[391] + vX_[4443] * vX_[1702] + vX_[2909] * vX_[1960] +
+ vX_[2902] * vX_[1958] + vX_[5586] * vX_[1729] + vX_[5732] * vX_[1727] + vX_[4425] * vX_[1901] +
+ vX_[5377] * vX_[391] + vX_[4426] * vX_[473] + vX_[4173] * vX_[395] + vX_[4472] * vX_[1756] +
+ vX_[2904] * vX_[1906] + (0 - vX_[4463]) * 0.35 + vX_[5513] * vX_[395] * 0.33 + vX_[4327] * vX_[1803] +
+ vX_[2888] * vX_[1822] + (0 - vX_[4405]) * 0.35 + vX_[5749] * vX_[395] * 0.33 + vX_[4431] * vX_[1843] +
+ vX_[5368] * vX_[1834] + vX_[4486] * vX_[1791] + vX_[2881] * vX_[1837] + vX_[2884] * vX_[1797] +
+ vX_[2874] * vX_[1787] + vX_[2883] * vX_[1783] + vX_[4538] * vX_[1789] + vX_[4404] * vX_[1702] * 0.33 +
+ vX_[4401] * vX_[1702] * 0.33 + vX_[4326] * vX_[1877] + vX_[2850] * vX_[1867] + (0 - vX_[4464]) * 0.35 +
+ vX_[5168] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[2911] = vX_[4494] + vX_[4369];
+ vX_[2464] = vX_[4596] + vX_[2464] * vX_[473] + vX_[2467] * vX_[487];
+ vX_[2460] = vX_[4596] + vX_[2456] * vX_[487] + vX_[2460] * vX_[485];
+ vX_[2484] = vX_[4751] + vX_[4163] + vX_[4596] - vX_[2464] - vX_[2460] + vX_[4602] * vX_[474] + vX_[2484] * vX_[393];
+ vX_[2460] = vX_[2460] + vX_[4927] * vX_[393] + vX_[2578] * vX_[489] + vX_[4832] * vX_[4124];
+ vX_[4927] = vX_[2484] - vX_[2460];
+ vX_[2466] = vX_[2483] * vX_[473] + vX_[2466] * vX_[487] + vX_[4140] * vX_[489] + vX_[4605] * vX_[474] +
+ vX_[2605] * vX_[393] + vX_[4826] * vX_[4124];
+ vX_[2605] = vX_[4927] * vX_[421] + vX_[2466] * vX_[433];
+ vX_[4605] = vX_[4927] * vX_[394] + vX_[2466] * vX_[421];
+ vX_[2919] = vX_[4018] + vX_[2919] * vX_[393] + vX_[2824] * vX_[474] * 2. + vX_[4826] * vX_[4121];
+ vX_[4018] = 0 - vX_[2466];
+ vX_[2283] = 0 - (vX_[2456] * vX_[473] + vX_[2467] * vX_[485] + vX_[2450] * vX_[487] + vX_[4144] * vX_[393] +
+ vX_[2283] * vX_[474] + vX_[2591] * vX_[489] + vX_[4798] * vX_[4124] + vX_[4832] * vX_[4133]);
+ vX_[2450] = 0 - vX_[2460];
+ vX_[2843] =
+ vX_[2683] + vX_[2843] * vX_[393] + vX_[2609] * vX_[489] * 2. + vX_[4832] * vX_[4121] + vX_[4835] * vX_[4124];
+ vX_[2609] = 0 - vX_[2843];
+ vX_[2593] = vX_[2610] + vX_[2678] * vX_[393] + vX_[2593] * vX_[489] + vX_[4832] * vX_[4134] + vX_[4837] * vX_[4124];
+ vX_[2610] = 0 - vX_[2593];
+ vX_[2678] = (vX_[2450] * vX_[434] + vX_[2609] * vX_[496] + vX_[2610] * vX_[505]) * 1 / vX_[470];
+ vX_[2450] = vX_[4568] * vX_[5779] + vX_[4833] * vX_[2081] + vX_[4018] * vX_[483] + vX_[2283] * vX_[471] +
+ vX_[2450] * vX_[499] + vX_[2678];
+ vX_[4171] = vX_[4603] + vX_[4598] * vX_[474] + vX_[4171] * vX_[393] * 2. + vX_[4826] * vX_[4134];
+ vX_[2484] = 0 - vX_[2484];
+ vX_[2475] = 0 - (0 - (vX_[2483] * vX_[487] + vX_[2475] * vX_[485]) + vX_[2811] * vX_[489] + vX_[2479] * vX_[393] +
+ vX_[4935] * vX_[474] + vX_[4826] * vX_[4133]);
+ vX_[4935] = 0 - vX_[2919];
+ vX_[2483] = 0 - vX_[4171];
+ vX_[4018] = (vX_[2484] * vX_[482] + vX_[2475] * vX_[444] + vX_[4018] * vX_[434] + vX_[4935] * vX_[496] +
+ vX_[2483] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[2484] = vX_[4578] * vX_[4174] + vX_[4830] * vX_[2081] + vX_[2484] * vX_[483] + vX_[4018];
+ vX_[4578] = vX_[2450] * vX_[433] + vX_[2484] * vX_[421];
+ vX_[2479] = vX_[2450] * vX_[421] + vX_[2484] * vX_[394];
+ vX_[2811] = vX_[4171] * vX_[421] + vX_[2593] * vX_[433];
+ vX_[4603] = vX_[4171] * vX_[394] + vX_[2593] * vX_[421];
+ vX_[2665] =
+ vX_[4606] + vX_[2665] * vX_[474] + vX_[2812] * vX_[489] * 2. + vX_[4798] * vX_[4134] + vX_[4837] * vX_[4133];
+ vX_[4606] = vX_[2843] - vX_[2665];
+ vX_[2464] = 0 - (vX_[2464] + vX_[2338] * vX_[474] + vX_[2666] * vX_[489] + vX_[4798] * vX_[4133]);
+ vX_[2682] =
+ 0 - (vX_[2682] + vX_[2863] * vX_[474] + vX_[4598] * vX_[489] + vX_[4798] * vX_[4121] + vX_[4835] * vX_[4133]);
+ vX_[2665] = 0 - vX_[2665];
+ vX_[2283] =
+ (vX_[2464] * vX_[444] + vX_[2283] * vX_[434] + vX_[2682] * vX_[496] + vX_[2665] * vX_[505]) * 1 / vX_[470];
+ vX_[2464] = 0 - vX_[2919] + vX_[4562] * vX_[4739] + vX_[4831] * vX_[2081] + vX_[2475] * vX_[483] +
+ vX_[2464] * vX_[471] + vX_[2283];
+ vX_[2812] = vX_[2812] + vX_[4837] * vX_[4134];
+ vX_[2824] = vX_[2824] + vX_[4835] * vX_[4121];
+ vX_[2475] = 0 - vX_[2824];
+ vX_[4598] = vX_[4598] + vX_[4835] * vX_[4134] + vX_[4837] * vX_[4121];
+ vX_[4562] = 0 - vX_[4598];
+ vX_[2863] = (vX_[2475] * vX_[496] + vX_[4562] * vX_[505]) * 1 / vX_[470];
+ vX_[4798] = 0 - vX_[2812];
+ vX_[2338] = vX_[4798] * vX_[505] * 1 / vX_[470];
+ vX_[2283] = 0 - vX_[4561] * vX_[4369] + vX_[4570] * vX_[4494] - vX_[4830] * vX_[1449] - vX_[4831] * vX_[4127] -
+ vX_[4833] * vX_[14] - vX_[4834] * vX_[1343] + vX_[4834] * vX_[2081] - vX_[4836] * vX_[1743] -
+ vX_[4838] * vX_[4106] - vX_[4018] * vX_[483] - vX_[2283] * vX_[471] - vX_[2678] * vX_[499] -
+ vX_[2863] * vX_[551] - vX_[2338] * vX_[560];
+ vX_[4018] = 0 - vX_[2812] + vX_[2283];
+ vX_[2338] = vX_[4574] * vX_[4724] + vX_[4838] * vX_[2081] + vX_[2483] * vX_[483] + vX_[2665] * vX_[471] +
+ vX_[2610] * vX_[499] + vX_[4562] * vX_[551] + vX_[4798] * vX_[560] + vX_[2338];
+ vX_[2863] = vX_[4572] * vX_[2937] + vX_[4836] * vX_[2081] + vX_[4935] * vX_[483] + vX_[2682] * vX_[471] +
+ vX_[2609] * vX_[499] + vX_[2475] * vX_[551] + vX_[2863];
+ vX_[2475] = vX_[4018] * vX_[421] + vX_[2338] * vX_[433];
+ vX_[2682] = vX_[4018] * vX_[394] + vX_[2338] * vX_[421];
+ vX_[4935] = vX_[2475] * vX_[394] + vX_[2682] * vX_[421];
+ vX_[2609] = vX_[2812] + vX_[2475] * vX_[421];
+ vX_[4836] = vX_[2812] + vX_[2682] * vX_[394];
+ vX_[2283] = vX_[2824] + vX_[2812] + vX_[2283] - vX_[2609] - vX_[4836];
+ vX_[2824] = 0 - vX_[2283];
+ vX_[2812] = (vX_[2919] * vX_[421] + vX_[2843] * vX_[433]) * -1;
+ vX_[4572] = vX_[2812] + vX_[2824] * vX_[435];
+ vX_[4798] = 0 - vX_[4572];
+ vX_[2812] = 0 - (vX_[4606] * vX_[394] + vX_[2464] * vX_[421]) + vX_[2812];
+ vX_[4562] = (vX_[2919] * vX_[394] + vX_[2843] * vX_[421]) * -1;
+ vX_[2665] = vX_[4562] + vX_[2283] * vX_[440];
+ vX_[2483] = 0 - vX_[2665];
+ vX_[2610] = 0 - (vX_[4598] * vX_[394] + vX_[2863] * vX_[421]) + vX_[4598] * vX_[433] * -1 * 2.;
+ vX_[4838] = 0 - vX_[2610];
+ vX_[4574] = vX_[4598] * vX_[421] + vX_[2863] * vX_[433] + vX_[4598] * vX_[421] * -1 * 2.;
+ vX_[2678] = 0 - vX_[4574];
+ vX_[4873] = vX_[4873] * vX_[2089];
+ vX_[4872] = vX_[4872] * vX_[2089] + vX_[4866] * vX_[1761];
+ vX_[4866] = 0 - vX_[4872];
+ vX_[4867] = vX_[4867] * vX_[1761];
+ vX_[4892] = vX_[4865] * vX_[2077] + vX_[4892] * vX_[2082];
+ vX_[4865] = 0 - vX_[4882];
+ vX_[4834] = vX_[4865] * x_in[19] + vX_[2433] * x_in[20];
+ vX_[4833] = vX_[2424] * x_in[26];
+ vX_[4831] = 0 - vX_[4833];
+ vX_[4830] = vX_[2424] * x_in[25];
+ vX_[4570] = 0 - vX_[4830];
+ vX_[4893] = vX_[4893] * vX_[1872];
+ vX_[4561] = 0 - vX_[4836];
+ vX_[4562] = vX_[4606] * vX_[421] + vX_[2464] * vX_[433] + vX_[4562];
+ vX_[2666] = 0 - vX_[4935];
+ vX_[4568] = 0 - vX_[4836];
+ vX_[2683] = 0 - vX_[4873] - vX_[4867];
+ vX_[2467] = 0 - vX_[4892];
+ vX_[2456] = 0 - vX_[4834];
+ vX_[4144] = 0 - vX_[4893];
+ jac[277] =
+ 0 -
+ (vX_[4565] * vX_[4174] + vX_[4567] * vX_[5779] + vX_[4557] * vX_[2911] + vX_[4559] * vX_[4724] +
+ vX_[4826] * vX_[1732] + vX_[4832] * vX_[1723] + vX_[4822] * vX_[1940] + vX_[4837] * vX_[831] +
+ vX_[4927] * vX_[480] + vX_[2466] * vX_[478] + vX_[2605] * vX_[479] + vX_[4605] * vX_[449] +
+ vX_[2919] * vX_[437] + vX_[2450] * vX_[426] + vX_[4171] * vX_[503] + vX_[2843] * vX_[492] +
+ vX_[2484] * vX_[432] + vX_[2593] * vX_[504] + vX_[4578] * vX_[431] + vX_[2479] * vX_[425] +
+ vX_[2811] * vX_[430] + vX_[4603] * vX_[420] + vX_[4606] * vX_[442] + vX_[2464] * vX_[438] +
+ vX_[4018] * vX_[468] + vX_[2338] * vX_[466] + vX_[4598] * vX_[606] + vX_[4598] * vX_[493] +
+ vX_[2863] * vX_[495] + vX_[2475] * vX_[417] + vX_[2682] * vX_[465] +
+ (vX_[4935] * vX_[441] + vX_[2824] * vX_[451] + vX_[2609] * vX_[436] + vX_[4798] * vX_[447] +
+ (vX_[2812] + vX_[2609] * vX_[435]) * 4.027 + vX_[2483] * vX_[449] + vX_[4838] * vX_[431] +
+ vX_[2678] * vX_[430] + vX_[4935] * vX_[415] + vX_[2609] * vX_[467]) *
+ -0.08 +
+ vX_[2505] * vX_[5] + vX_[2495] * vX_[1543] + vX_[2446] * vX_[10] + vX_[2458] * vX_[2916] +
+ (vX_[4565] * vX_[2937] + vX_[4835] * vX_[1732] + vX_[2505] * vX_[1882]) * -0.08 + vX_[2278] * vX_[473] +
+ vX_[2266] * vX_[473] - vX_[4873] * vX_[1702] + vX_[4874] * 0.35 + vX_[2265] * vX_[1952] +
+ vX_[2210] * vX_[1950] + vX_[2829] * vX_[1720] + vX_[5767] * vX_[1718] + vX_[2454] * vX_[1895] +
+ vX_[2205] * vX_[473] + vX_[4866] * vX_[395] + vX_[2193] * vX_[1961] + vX_[2209] * vX_[1957] +
+ vX_[4884] * vX_[1730] + vX_[4527] * vX_[1726] + vX_[4175] * vX_[1897] + vX_[2463] * vX_[391] +
+ vX_[2104] * vX_[473] - vX_[4867] * vX_[1702] + vX_[4869] * vX_[1760] + vX_[4852] * vX_[1758] +
+ vX_[4868] * vX_[1910] + vX_[2102] * vX_[1908] + vX_[4892] * vX_[1702] * -0.33 + vX_[2412] * vX_[1807] +
+ vX_[2411] * vX_[1805] + vX_[2095] * vX_[1826] + vX_[4834] * vX_[1702] * -0.33 + vX_[2462] * vX_[1841] +
+ vX_[2492] * vX_[1789] + vX_[1762] * vX_[1839] + vX_[2070] * vX_[1783] + vX_[2065] * vX_[1795] +
+ vX_[2044] * vX_[1785] + vX_[2435] * vX_[1793] + vX_[2500] * vX_[1791] + vX_[4831] * vX_[395] * 0.33 +
+ (0 - vX_[4830]) * 0.35 + vX_[4570] * vX_[395] * 0.33 + vX_[2351] * vX_[1881] + vX_[2339] * vX_[1879] +
+ vX_[2063] * vX_[1869] + vX_[2067] * vX_[1824] + vX_[4893] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[4567] * vX_[4174] + vX_[4559] * vX_[2911] + vX_[4826] * vX_[1723] + vX_[4822] * vX_[831] +
+ vX_[4927] * vX_[478] + vX_[2605] * vX_[449] + vX_[4605] * vX_[477] + vX_[2919] * vX_[492] +
+ vX_[4171] * vX_[504] + vX_[2484] * vX_[426] + vX_[4578] * vX_[430] + vX_[2479] * vX_[420] +
+ vX_[4606] * vX_[438] + vX_[4018] * vX_[466] + vX_[4598] * vX_[495] + vX_[2475] * vX_[465] +
+ vX_[2682] * vX_[462] + vX_[2495] * vX_[5] + vX_[2458] * vX_[10] -
+ (vX_[4565] * vX_[5779] + vX_[4832] * vX_[1732] + vX_[2505] * vX_[1543]) +
+ (vX_[4567] * vX_[2937] + vX_[4835] * vX_[1723] +
+ (vX_[2283] * vX_[450] + vX_[4561] * vX_[441] + vX_[4572] * vX_[449] + vX_[2665] * vX_[448] +
+ (0 - (vX_[4562] + vX_[4935] * vX_[435] + vX_[4561] * vX_[440])) * 4.027 + vX_[2610] * vX_[425] +
+ vX_[4574] * vX_[420] + vX_[2666] * vX_[427] + vX_[4568] * vX_[461]) *
+ -1 +
+ vX_[2495] * vX_[1882]) *
+ -0.08 -
+ (vX_[4557] * vX_[4724] + vX_[4837] * vX_[1940] + vX_[2466] * vX_[480] + vX_[2450] * vX_[432] +
+ vX_[2843] * vX_[437] + vX_[2593] * vX_[503] + vX_[2811] * vX_[431] + vX_[4603] * vX_[425] +
+ vX_[2464] * vX_[442] + vX_[2338] * vX_[468] + vX_[4598] * vX_[494] + vX_[2863] * vX_[493] +
+ vX_[2446] * vX_[2916]) +
+ vX_[2506] * vX_[391] + vX_[4910] * vX_[391] + vX_[4856] * vX_[1946] + vX_[2282] * vX_[1713] +
+ vX_[2265] * vX_[1953] + vX_[2210] * vX_[1949] + vX_[2829] * vX_[1721] + vX_[2502] * vX_[1717] +
+ vX_[4519] * vX_[1897] + vX_[4511] * vX_[391] + vX_[4872] * vX_[1702] + vX_[2191] * vX_[1960] +
+ vX_[2209] * vX_[1958] + vX_[4884] * vX_[1729] + vX_[4527] * vX_[1727] + vX_[4854] * vX_[1901] +
+ vX_[4508] * vX_[391] + vX_[4855] * vX_[473] + vX_[2683] * vX_[395] + vX_[2441] * vX_[1756] +
+ vX_[2101] * vX_[1906] + (0 - vX_[4892]) * 0.35 + vX_[2467] * vX_[395] * 0.33 + vX_[2356] * vX_[1803] +
+ vX_[2093] * vX_[1822] + (0 - vX_[4834]) * 0.35 + vX_[2456] * vX_[395] * 0.33 + vX_[4860] * vX_[1843] +
+ vX_[4460] * vX_[1834] + vX_[2445] * vX_[1791] + vX_[2099] * vX_[1837] + vX_[2072] * vX_[1797] +
+ vX_[2073] * vX_[1787] + vX_[2069] * vX_[1783] + vX_[4967] * vX_[1789] + vX_[4833] * vX_[1702] * 0.33 +
+ vX_[4830] * vX_[1702] * 0.33 + vX_[2355] * vX_[1877] + vX_[2062] * vX_[1867] + (0 - vX_[4893]) * 0.35 +
+ vX_[4144] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[1540] = vX_[5025] + vX_[1540] * vX_[473] + vX_[31] * vX_[487];
+ vX_[39] = vX_[5025] + vX_[1765] * vX_[487] + vX_[39] * vX_[485];
+ vX_[2913] = vX_[2755] + vX_[4592] + vX_[5025] - vX_[1540] - vX_[39] + vX_[5031] * vX_[474] + vX_[2913] * vX_[393];
+ vX_[39] = vX_[39] + vX_[2853] * vX_[393] + vX_[2006] * vX_[489] + vX_[5261] * vX_[4124];
+ vX_[2853] = vX_[2913] - vX_[39];
+ vX_[35] = vX_[2091] * vX_[473] + vX_[35] * vX_[487] + vX_[4569] * vX_[489] + vX_[5034] * vX_[474] +
+ vX_[1346] * vX_[393] + vX_[5255] * vX_[4124];
+ vX_[1346] = vX_[2853] * vX_[421] + vX_[35] * vX_[433];
+ vX_[5034] = vX_[2853] * vX_[394] + vX_[35] * vX_[421];
+ vX_[4563] = vX_[4457] + vX_[4563] * vX_[393] + vX_[1999] * vX_[474] * 2. + vX_[5255] * vX_[4121];
+ vX_[4457] = 0 - vX_[35];
+ vX_[4105] = 0 - (vX_[1765] * vX_[473] + vX_[31] * vX_[485] + vX_[1453] * vX_[487] + vX_[4573] * vX_[393] +
+ vX_[4105] * vX_[474] + vX_[1298] * vX_[489] + vX_[5227] * vX_[4124] + vX_[5261] * vX_[4133]);
+ vX_[1453] = 0 - vX_[39];
+ vX_[1139] =
+ vX_[1665] + vX_[1139] * vX_[393] + vX_[1351] * vX_[489] * 2. + vX_[5261] * vX_[4121] + vX_[5264] * vX_[4124];
+ vX_[1351] = 0 - vX_[1139];
+ vX_[1353] = vX_[1355] + vX_[1656] * vX_[393] + vX_[1353] * vX_[489] + vX_[5261] * vX_[4134] + vX_[5266] * vX_[4124];
+ vX_[1355] = 0 - vX_[1353];
+ vX_[1656] = (vX_[1453] * vX_[434] + vX_[1351] * vX_[496] + vX_[1355] * vX_[505]) * 1 / vX_[470];
+ vX_[1453] = vX_[4998] * vX_[5779] + vX_[5262] * vX_[2081] + vX_[4457] * vX_[483] + vX_[4105] * vX_[471] +
+ vX_[1453] * vX_[499] + vX_[1656];
+ vX_[4600] = vX_[5032] + vX_[5027] * vX_[474] + vX_[4600] * vX_[393] * 2. + vX_[5255] * vX_[4134];
+ vX_[2913] = 0 - vX_[2913];
+ vX_[1850] = 0 - (0 - (vX_[2091] * vX_[487] + vX_[1850] * vX_[485]) + vX_[1998] * vX_[489] + vX_[1451] * vX_[393] +
+ vX_[2858] * vX_[474] + vX_[5255] * vX_[4133]);
+ vX_[2858] = 0 - vX_[4563];
+ vX_[2091] = 0 - vX_[4600];
+ vX_[4457] = (vX_[2913] * vX_[482] + vX_[1850] * vX_[444] + vX_[4457] * vX_[434] + vX_[2858] * vX_[496] +
+ vX_[2091] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[2913] = vX_[5007] * vX_[4174] + vX_[5259] * vX_[2081] + vX_[2913] * vX_[483] + vX_[4457];
+ vX_[5007] = vX_[1453] * vX_[433] + vX_[2913] * vX_[421];
+ vX_[1451] = vX_[1453] * vX_[421] + vX_[2913] * vX_[394];
+ vX_[1998] = vX_[4600] * vX_[421] + vX_[1353] * vX_[433];
+ vX_[5032] = vX_[4600] * vX_[394] + vX_[1353] * vX_[421];
+ vX_[1611] =
+ vX_[5035] + vX_[1611] * vX_[474] + vX_[825] * vX_[489] * 2. + vX_[5227] * vX_[4134] + vX_[5266] * vX_[4133];
+ vX_[5035] = vX_[1139] - vX_[1611];
+ vX_[1540] = 0 - (vX_[1540] + vX_[4109] * vX_[474] + vX_[1663] * vX_[489] + vX_[5227] * vX_[4133]);
+ vX_[1661] =
+ 0 - (vX_[1661] + vX_[2040] * vX_[474] + vX_[5027] * vX_[489] + vX_[5227] * vX_[4121] + vX_[5264] * vX_[4133]);
+ vX_[1611] = 0 - vX_[1611];
+ vX_[4105] =
+ (vX_[1540] * vX_[444] + vX_[4105] * vX_[434] + vX_[1661] * vX_[496] + vX_[1611] * vX_[505]) * 1 / vX_[470];
+ vX_[1540] = 0 - vX_[4563] + vX_[4992] * vX_[4739] + vX_[5260] * vX_[2081] + vX_[1850] * vX_[483] +
+ vX_[1540] * vX_[471] + vX_[4105];
+ vX_[825] = vX_[825] + vX_[5266] * vX_[4134];
+ vX_[1999] = vX_[1999] + vX_[5264] * vX_[4121];
+ vX_[1850] = 0 - vX_[1999];
+ vX_[5027] = vX_[5027] + vX_[5264] * vX_[4134] + vX_[5266] * vX_[4121];
+ vX_[4739] = 0 - vX_[5027];
+ vX_[4992] = (vX_[1850] * vX_[496] + vX_[4739] * vX_[505]) * 1 / vX_[470];
+ vX_[2040] = 0 - vX_[825];
+ vX_[5227] = vX_[2040] * vX_[505] * 1 / vX_[470];
+ vX_[4105] = 0 - vX_[4991] * vX_[4369] + vX_[5000] * vX_[4494] - vX_[5259] * vX_[1449] - vX_[5260] * vX_[4127] -
+ vX_[5262] * vX_[14] - vX_[5263] * vX_[1343] + vX_[5263] * vX_[2081] - vX_[5265] * vX_[1743] -
+ vX_[5267] * vX_[4106] - vX_[4457] * vX_[483] - vX_[4105] * vX_[471] - vX_[1656] * vX_[499] -
+ vX_[4992] * vX_[551] - vX_[5227] * vX_[560];
+ vX_[4457] = 0 - vX_[825] + vX_[4105];
+ vX_[5227] = vX_[5003] * vX_[4724] + vX_[5267] * vX_[2081] + vX_[2091] * vX_[483] + vX_[1611] * vX_[471] +
+ vX_[1355] * vX_[499] + vX_[4739] * vX_[551] + vX_[2040] * vX_[560] + vX_[5227];
+ vX_[4992] = vX_[5002] * vX_[2937] + vX_[5265] * vX_[2081] + vX_[2858] * vX_[483] + vX_[1661] * vX_[471] +
+ vX_[1351] * vX_[499] + vX_[1850] * vX_[551] + vX_[4992];
+ vX_[1850] = vX_[4457] * vX_[421] + vX_[5227] * vX_[433];
+ vX_[1661] = vX_[4457] * vX_[394] + vX_[5227] * vX_[421];
+ vX_[2858] = vX_[1850] * vX_[394] + vX_[1661] * vX_[421];
+ vX_[1351] = vX_[825] + vX_[1850] * vX_[421];
+ vX_[5265] = vX_[825] + vX_[1661] * vX_[394];
+ vX_[4105] = vX_[1999] + vX_[825] + vX_[4105] - vX_[1351] - vX_[5265];
+ vX_[1999] = 0 - vX_[4105];
+ vX_[825] = (vX_[4563] * vX_[421] + vX_[1139] * vX_[433]) * -1;
+ vX_[5002] = vX_[825] + vX_[1999] * vX_[435];
+ vX_[2040] = 0 - vX_[5002];
+ vX_[825] = 0 - (vX_[5035] * vX_[394] + vX_[1540] * vX_[421]) + vX_[825];
+ vX_[4739] = (vX_[4563] * vX_[394] + vX_[1139] * vX_[421]) * -1;
+ vX_[1611] = vX_[4739] + vX_[4105] * vX_[440];
+ vX_[2091] = 0 - vX_[1611];
+ vX_[1355] = 0 - (vX_[5027] * vX_[394] + vX_[4992] * vX_[421]) + vX_[5027] * vX_[433] * -1 * 2.;
+ vX_[5267] = 0 - vX_[1355];
+ vX_[5003] = vX_[5027] * vX_[421] + vX_[4992] * vX_[433] + vX_[5027] * vX_[421] * -1 * 2.;
+ vX_[1656] = 0 - vX_[5003];
+ vX_[5302] = vX_[5302] * vX_[2089];
+ vX_[5301] = vX_[5301] * vX_[2089] + vX_[5295] * vX_[1761];
+ vX_[5295] = 0 - vX_[5301];
+ vX_[5296] = vX_[5296] * vX_[1761];
+ vX_[5321] = vX_[5294] * vX_[2077] + vX_[5321] * vX_[2082];
+ vX_[5294] = 0 - vX_[5311];
+ vX_[4369] = vX_[5294] * x_in[19] + vX_[4139] * x_in[20];
+ vX_[4494] = vX_[4119] * x_in[26];
+ vX_[5263] = 0 - vX_[4494];
+ vX_[5262] = vX_[4119] * x_in[25];
+ vX_[5260] = 0 - vX_[5262];
+ vX_[5322] = vX_[5322] * vX_[1872];
+ vX_[5259] = 0 - vX_[5265];
+ vX_[4739] = vX_[5035] * vX_[421] + vX_[1540] * vX_[433] + vX_[4739];
+ vX_[5000] = 0 - vX_[2858];
+ vX_[4991] = 0 - vX_[5265];
+ vX_[4109] = 0 - vX_[5302] - vX_[5296];
+ vX_[1663] = 0 - vX_[5321];
+ vX_[4998] = 0 - vX_[4369];
+ vX_[1665] = 0 - vX_[5322];
+ jac[278] =
+ 0 -
+ (vX_[4995] * vX_[4174] + vX_[4997] * vX_[5779] + vX_[4987] * vX_[2911] + vX_[4989] * vX_[4724] +
+ vX_[5255] * vX_[1732] + vX_[5261] * vX_[1723] + vX_[5251] * vX_[1940] + vX_[5266] * vX_[831] +
+ vX_[2853] * vX_[480] + vX_[35] * vX_[478] + vX_[1346] * vX_[479] + vX_[5034] * vX_[449] +
+ vX_[4563] * vX_[437] + vX_[1453] * vX_[426] + vX_[4600] * vX_[503] + vX_[1139] * vX_[492] +
+ vX_[2913] * vX_[432] + vX_[1353] * vX_[504] + vX_[5007] * vX_[431] + vX_[1451] * vX_[425] +
+ vX_[1998] * vX_[430] + vX_[5032] * vX_[420] + vX_[5035] * vX_[442] + vX_[1540] * vX_[438] +
+ vX_[4457] * vX_[468] + vX_[5227] * vX_[466] + vX_[5027] * vX_[606] + vX_[5027] * vX_[493] +
+ vX_[4992] * vX_[495] + vX_[1850] * vX_[417] + vX_[1661] * vX_[465] +
+ (vX_[2858] * vX_[441] + vX_[1999] * vX_[451] + vX_[1351] * vX_[436] + vX_[2040] * vX_[447] +
+ (vX_[825] + vX_[1351] * vX_[435]) * 4.027 + vX_[2091] * vX_[449] + vX_[5267] * vX_[431] +
+ vX_[1656] * vX_[430] + vX_[2858] * vX_[415] + vX_[1351] * vX_[467]) *
+ -0.08 +
+ vX_[38] * vX_[5] + vX_[36] * vX_[1543] + vX_[48] * vX_[10] + vX_[1230] * vX_[2916] +
+ (vX_[4995] * vX_[2937] + vX_[5264] * vX_[1732] + vX_[38] * vX_[1882]) * -0.08 + vX_[4111] * vX_[473] +
+ vX_[4097] * vX_[473] - vX_[5302] * vX_[1702] + vX_[5303] * 0.35 + vX_[4077] * vX_[1952] +
+ vX_[4094] * vX_[1950] + vX_[2004] * vX_[1720] + vX_[4912] * vX_[1718] + vX_[913] * vX_[1895] +
+ vX_[4088] * vX_[473] + vX_[5295] * vX_[395] + vX_[4090] * vX_[1961] + vX_[4086] * vX_[1957] +
+ vX_[2810] * vX_[1730] + vX_[2481] * vX_[1726] + vX_[4604] * vX_[1897] + vX_[40] * vX_[391] +
+ vX_[4059] * vX_[473] - vX_[5296] * vX_[1702] + vX_[5298] * vX_[1760] + vX_[5281] * vX_[1758] +
+ vX_[5297] * vX_[1910] + vX_[4067] * vX_[1908] + vX_[5321] * vX_[1702] * -0.33 + vX_[4130] * vX_[1807] +
+ vX_[4132] * vX_[1805] + vX_[4054] * vX_[1826] + vX_[4369] * vX_[1702] * -0.33 + vX_[8] * vX_[1841] +
+ vX_[990] * vX_[1789] + vX_[4056] * vX_[1839] + vX_[3908] * vX_[1783] + vX_[3983] * vX_[1795] +
+ vX_[3910] * vX_[1785] + vX_[828] * vX_[1793] + vX_[37] * vX_[1791] + vX_[5263] * vX_[395] * 0.33 +
+ (0 - vX_[5262]) * 0.35 + vX_[5260] * vX_[395] * 0.33 + vX_[4118] * vX_[1881] + vX_[4098] * vX_[1879] +
+ vX_[3835] * vX_[1869] + vX_[3833] * vX_[1824] + vX_[5322] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[4997] * vX_[4174] + vX_[4989] * vX_[2911] + vX_[5255] * vX_[1723] + vX_[5251] * vX_[831] +
+ vX_[2853] * vX_[478] + vX_[1346] * vX_[449] + vX_[5034] * vX_[477] + vX_[4563] * vX_[492] +
+ vX_[4600] * vX_[504] + vX_[2913] * vX_[426] + vX_[5007] * vX_[430] + vX_[1451] * vX_[420] +
+ vX_[5035] * vX_[438] + vX_[4457] * vX_[466] + vX_[5027] * vX_[495] + vX_[1850] * vX_[465] +
+ vX_[1661] * vX_[462] + vX_[36] * vX_[5] + vX_[1230] * vX_[10] -
+ (vX_[4995] * vX_[5779] + vX_[5261] * vX_[1732] + vX_[38] * vX_[1543]) +
+ (vX_[4997] * vX_[2937] + vX_[5264] * vX_[1723] +
+ (vX_[4105] * vX_[450] + vX_[5259] * vX_[441] + vX_[5002] * vX_[449] + vX_[1611] * vX_[448] +
+ (0 - (vX_[4739] + vX_[2858] * vX_[435] + vX_[5259] * vX_[440])) * 4.027 + vX_[1355] * vX_[425] +
+ vX_[5003] * vX_[420] + vX_[5000] * vX_[427] + vX_[4991] * vX_[461]) *
+ -1 +
+ vX_[36] * vX_[1882]) *
+ -0.08 -
+ (vX_[4987] * vX_[4724] + vX_[5266] * vX_[1940] + vX_[35] * vX_[480] + vX_[1453] * vX_[432] +
+ vX_[1139] * vX_[437] + vX_[1353] * vX_[503] + vX_[1998] * vX_[431] + vX_[5032] * vX_[425] +
+ vX_[1540] * vX_[442] + vX_[5227] * vX_[468] + vX_[5027] * vX_[494] + vX_[4992] * vX_[493] +
+ vX_[48] * vX_[2916]) +
+ vX_[1042] * vX_[391] + vX_[2839] * vX_[391] + vX_[5285] * vX_[1946] + vX_[4080] * vX_[1713] +
+ vX_[4077] * vX_[1953] + vX_[4094] * vX_[1949] + vX_[2004] * vX_[1721] + vX_[1040] * vX_[1717] +
+ vX_[2471] * vX_[1897] + vX_[2474] * vX_[391] + vX_[5301] * vX_[1702] + vX_[4084] * vX_[1960] +
+ vX_[4086] * vX_[1958] + vX_[2810] * vX_[1729] + vX_[2481] * vX_[1727] + vX_[5283] * vX_[1901] +
+ vX_[2324] * vX_[391] + vX_[5284] * vX_[473] + vX_[4109] * vX_[395] + vX_[3] * vX_[1756] +
+ vX_[4063] * vX_[1906] + (0 - vX_[5321]) * 0.35 + vX_[1663] * vX_[395] * 0.33 + vX_[4128] * vX_[1803] +
+ vX_[4050] * vX_[1822] + (0 - vX_[4369]) * 0.35 + vX_[4998] * vX_[395] * 0.33 + vX_[5289] * vX_[1843] +
+ vX_[4889] * vX_[1834] + vX_[45] * vX_[1791] + vX_[4052] * vX_[1837] + vX_[3977] * vX_[1797] +
+ vX_[3979] * vX_[1787] + vX_[3904] * vX_[1783] + vX_[5396] * vX_[1789] + vX_[4494] * vX_[1702] * 0.33 +
+ vX_[5262] * vX_[1702] * 0.33 + vX_[4115] * vX_[1877] + vX_[2921] * vX_[1867] + (0 - vX_[5322]) * 0.35 +
+ vX_[1665] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[3514] = vX_[5444] + vX_[3514] * vX_[473] + vX_[3508] * vX_[487];
+ vX_[3510] = vX_[5444] + vX_[3512] * vX_[487] + vX_[3510] * vX_[485];
+ vX_[3654] = vX_[1977] + vX_[5021] + vX_[5444] - vX_[3514] - vX_[3510] + vX_[5450] * vX_[474] + vX_[3654] * vX_[393];
+ vX_[3510] = vX_[3510] + vX_[2041] * vX_[393] + vX_[1307] * vX_[489] + vX_[5680] * vX_[4124];
+ vX_[2041] = vX_[3654] - vX_[3510];
+ vX_[3583] = vX_[3581] * vX_[473] + vX_[3583] * vX_[487] + vX_[4999] * vX_[489] + vX_[5453] * vX_[474] +
+ vX_[3702] * vX_[393] + vX_[5674] * vX_[4124];
+ vX_[3702] = vX_[2041] * vX_[421] + vX_[3583] * vX_[433];
+ vX_[5453] = vX_[2041] * vX_[394] + vX_[3583] * vX_[421];
+ vX_[4993] = vX_[4886] + vX_[4993] * vX_[393] + vX_[1147] * vX_[474] * 2. + vX_[5674] * vX_[4121];
+ vX_[4886] = 0 - vX_[3583];
+ vX_[3284] = 0 - (vX_[3512] * vX_[473] + vX_[3508] * vX_[485] + vX_[3439] * vX_[487] + vX_[4984] * vX_[393] +
+ vX_[3284] * vX_[474] + vX_[3719] * vX_[489] + vX_[5646] * vX_[4124] + vX_[5680] * vX_[4133]);
+ vX_[3439] = 0 - vX_[3510];
+ vX_[1619] =
+ vX_[3740] + vX_[1619] * vX_[393] + vX_[3709] * vX_[489] * 2. + vX_[5680] * vX_[4121] + vX_[5683] * vX_[4124];
+ vX_[3709] = 0 - vX_[1619];
+ vX_[3713] = vX_[3705] + vX_[3734] * vX_[393] + vX_[3713] * vX_[489] + vX_[5680] * vX_[4134] + vX_[5685] * vX_[4124];
+ vX_[3705] = 0 - vX_[3713];
+ vX_[3734] = (vX_[3439] * vX_[434] + vX_[3709] * vX_[496] + vX_[3705] * vX_[505]) * 1 / vX_[470];
+ vX_[3439] = vX_[5681] * vX_[2081] + vX_[4886] * vX_[483] + vX_[3284] * vX_[471] + vX_[3439] * vX_[499] + vX_[3734];
+ vX_[5029] = vX_[5451] + vX_[5446] * vX_[474] + vX_[5029] * vX_[393] * 2. + vX_[5674] * vX_[4134];
+ vX_[3654] = 0 - vX_[3654];
+ vX_[3587] = 0 - (0 - (vX_[3581] * vX_[487] + vX_[3587] * vX_[485]) + vX_[918] * vX_[489] + vX_[3660] * vX_[393] +
+ vX_[2033] * vX_[474] + vX_[5674] * vX_[4133]);
+ vX_[2033] = 0 - vX_[4993];
+ vX_[3581] = 0 - vX_[5029];
+ vX_[4886] = (vX_[3654] * vX_[482] + vX_[3587] * vX_[444] + vX_[4886] * vX_[434] + vX_[2033] * vX_[496] +
+ vX_[3581] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[3654] = vX_[5678] * vX_[2081] + vX_[3654] * vX_[483] + vX_[4886];
+ vX_[3660] = vX_[3439] * vX_[433] + vX_[3654] * vX_[421];
+ vX_[918] = vX_[3439] * vX_[421] + vX_[3654] * vX_[394];
+ vX_[5451] = vX_[5029] * vX_[421] + vX_[3713] * vX_[433];
+ vX_[3740] = vX_[5029] * vX_[394] + vX_[3713] * vX_[421];
+ vX_[3722] =
+ vX_[5454] + vX_[3722] * vX_[474] + vX_[998] * vX_[489] * 2. + vX_[5646] * vX_[4134] + vX_[5685] * vX_[4133];
+ vX_[5454] = vX_[1619] - vX_[3722];
+ vX_[3514] = 0 - (vX_[3514] + vX_[3288] * vX_[474] + vX_[3736] * vX_[489] + vX_[5646] * vX_[4133]);
+ vX_[3732] =
+ 0 - (vX_[3732] + vX_[2922] * vX_[474] + vX_[5446] * vX_[489] + vX_[5646] * vX_[4121] + vX_[5683] * vX_[4133]);
+ vX_[3722] = 0 - vX_[3722];
+ vX_[3284] =
+ (vX_[3514] * vX_[444] + vX_[3284] * vX_[434] + vX_[3732] * vX_[496] + vX_[3722] * vX_[505]) * 1 / vX_[470];
+ vX_[3514] = 0 - vX_[4993] + vX_[5679] * vX_[2081] + vX_[3587] * vX_[483] + vX_[3514] * vX_[471] + vX_[3284];
+ vX_[998] = vX_[998] + vX_[5685] * vX_[4134];
+ vX_[1147] = vX_[1147] + vX_[5683] * vX_[4121];
+ vX_[3587] = 0 - vX_[1147];
+ vX_[5446] = vX_[5446] + vX_[5683] * vX_[4134] + vX_[5685] * vX_[4121];
+ vX_[2922] = 0 - vX_[5446];
+ vX_[5646] = (vX_[3587] * vX_[496] + vX_[2922] * vX_[505]) * 1 / vX_[470];
+ vX_[3288] = 0 - vX_[998];
+ vX_[3736] = vX_[3288] * vX_[505] * 1 / vX_[470];
+ vX_[3284] = 0 - vX_[5678] * vX_[1449] - vX_[5679] * vX_[4127] - vX_[5681] * vX_[14] - vX_[5682] * vX_[1343] +
+ vX_[5682] * vX_[2081] - vX_[5684] * vX_[1743] - vX_[5686] * vX_[4106] - vX_[4886] * vX_[483] -
+ vX_[3284] * vX_[471] - vX_[3734] * vX_[499] - vX_[5646] * vX_[551] - vX_[3736] * vX_[560];
+ vX_[4886] = 0 - vX_[998] + vX_[3284];
+ vX_[3736] = vX_[5686] * vX_[2081] + vX_[3581] * vX_[483] + vX_[3722] * vX_[471] + vX_[3705] * vX_[499] +
+ vX_[2922] * vX_[551] + vX_[3288] * vX_[560] + vX_[3736];
+ vX_[5646] = vX_[5684] * vX_[2081] + vX_[2033] * vX_[483] + vX_[3732] * vX_[471] + vX_[3709] * vX_[499] +
+ vX_[3587] * vX_[551] + vX_[5646];
+ vX_[3587] = vX_[4886] * vX_[421] + vX_[3736] * vX_[433];
+ vX_[3732] = vX_[4886] * vX_[394] + vX_[3736] * vX_[421];
+ vX_[2033] = vX_[3587] * vX_[394] + vX_[3732] * vX_[421];
+ vX_[3709] = vX_[998] + vX_[3587] * vX_[421];
+ vX_[5684] = vX_[998] + vX_[3732] * vX_[394];
+ vX_[3284] = vX_[1147] + vX_[998] + vX_[3284] - vX_[3709] - vX_[5684];
+ vX_[1147] = 0 - vX_[3284];
+ vX_[998] = (vX_[4993] * vX_[421] + vX_[1619] * vX_[433]) * -1;
+ vX_[3288] = vX_[998] + vX_[1147] * vX_[435];
+ vX_[2922] = 0 - vX_[3288];
+ vX_[998] = 0 - (vX_[5454] * vX_[394] + vX_[3514] * vX_[421]) + vX_[998];
+ vX_[3722] = (vX_[4993] * vX_[394] + vX_[1619] * vX_[421]) * -1;
+ vX_[3581] = vX_[3722] + vX_[3284] * vX_[440];
+ vX_[3705] = 0 - vX_[3581];
+ vX_[5686] = 0 - (vX_[5446] * vX_[394] + vX_[5646] * vX_[421]) + vX_[5446] * vX_[433] * -1 * 2.;
+ vX_[3734] = 0 - vX_[5686];
+ vX_[5682] = vX_[5446] * vX_[421] + vX_[5646] * vX_[433] + vX_[5446] * vX_[421] * -1 * 2.;
+ vX_[5681] = 0 - vX_[5682];
+ vX_[5721] = vX_[5721] * vX_[2089];
+ vX_[5720] = vX_[5720] * vX_[2089] + vX_[5714] * vX_[1761];
+ vX_[5714] = 0 - vX_[5720];
+ vX_[5715] = vX_[5715] * vX_[1761];
+ vX_[5740] = vX_[5713] * vX_[2077] + vX_[5740] * vX_[2082];
+ vX_[5713] = 0 - vX_[5730];
+ vX_[5679] = vX_[5713] * x_in[19] + vX_[3296] * x_in[20];
+ vX_[5678] = vX_[3307] * x_in[26];
+ vX_[3508] = 0 - vX_[5678];
+ vX_[3512] = vX_[3307] * x_in[25];
+ vX_[4984] = 0 - vX_[3512];
+ vX_[5741] = vX_[5741] * vX_[1872];
+ vX_[3719] = 0 - vX_[5684];
+ vX_[3722] = vX_[5454] * vX_[421] + vX_[3514] * vX_[433] + vX_[3722];
+ vX_[4999] = 0 - vX_[2033];
+ vX_[1307] = 0 - vX_[5684];
+ vX_[5450] = 0 - vX_[5721] - vX_[5715];
+ vX_[5259] = 0 - vX_[5740];
+ vX_[1999] = 0 - vX_[5679];
+ vX_[4105] = 0 - vX_[5741];
+ jac[279] =
+ 0 -
+ (vX_[5674] * vX_[1732] + vX_[5680] * vX_[1723] + vX_[5670] * vX_[1940] + vX_[5685] * vX_[831] +
+ vX_[2041] * vX_[480] + vX_[3583] * vX_[478] + vX_[3702] * vX_[479] + vX_[5453] * vX_[449] +
+ vX_[4993] * vX_[437] + vX_[3439] * vX_[426] + vX_[5029] * vX_[503] + vX_[1619] * vX_[492] +
+ vX_[3654] * vX_[432] + vX_[3713] * vX_[504] + vX_[3660] * vX_[431] + vX_[918] * vX_[425] +
+ vX_[5451] * vX_[430] + vX_[3740] * vX_[420] + vX_[5454] * vX_[442] + vX_[3514] * vX_[438] +
+ vX_[4886] * vX_[468] + vX_[3736] * vX_[466] + vX_[5446] * vX_[606] + vX_[5446] * vX_[493] +
+ vX_[5646] * vX_[495] + vX_[3587] * vX_[417] + vX_[3732] * vX_[465] +
+ (vX_[2033] * vX_[441] + vX_[1147] * vX_[451] + vX_[3709] * vX_[436] + vX_[2922] * vX_[447] +
+ (vX_[998] + vX_[3709] * vX_[435]) * 4.027 + vX_[3705] * vX_[449] + vX_[3734] * vX_[431] +
+ vX_[5681] * vX_[430] + vX_[2033] * vX_[415] + vX_[3709] * vX_[467]) *
+ -0.08 +
+ vX_[3688] * vX_[5] + vX_[3690] * vX_[1543] + vX_[3320] * vX_[10] + vX_[3441] * vX_[2916] +
+ (vX_[5683] * vX_[1732] + vX_[3688] * vX_[1882]) * -0.08 + vX_[3274] * vX_[473] + vX_[3225] * vX_[473] -
+ vX_[5721] * vX_[1702] + vX_[5722] * 0.35 + vX_[3265] * vX_[1952] + vX_[3261] * vX_[1950] +
+ vX_[1229] * vX_[1720] + vX_[2835] * vX_[1718] + vX_[3344] * vX_[1895] + vX_[3267] * vX_[473] +
+ vX_[5714] * vX_[395] + vX_[3252] * vX_[1961] + vX_[3248] * vX_[1957] + vX_[1997] * vX_[1730] +
+ vX_[17] * vX_[1726] + vX_[5033] * vX_[1897] + vX_[3435] * vX_[391] + vX_[3250] * vX_[473] -
+ vX_[5715] * vX_[1702] + vX_[5717] * vX_[1760] + vX_[5700] * vX_[1758] + vX_[5716] * vX_[1910] +
+ vX_[3181] * vX_[1908] + vX_[5740] * vX_[1702] * -0.33 + vX_[3309] * vX_[1807] + vX_[3295] * vX_[1805] +
+ vX_[3108] * vX_[1826] + vX_[5679] * vX_[1702] * -0.33 + vX_[3345] * vX_[1841] + vX_[3692] * vX_[1789] +
+ vX_[3033] * vX_[1839] + vX_[2936] * vX_[1783] + vX_[2939] * vX_[1795] + vX_[1870] * vX_[1785] +
+ vX_[3337] * vX_[1793] + vX_[3694] * vX_[1791] + vX_[3508] * vX_[395] * 0.33 + (0 - vX_[3512]) * 0.35 +
+ vX_[4984] * vX_[395] * 0.33 + vX_[3275] * vX_[1881] + vX_[3286] * vX_[1879] + vX_[1922] * vX_[1869] +
+ vX_[1809] * vX_[1824] + vX_[5741] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[5674] * vX_[1723] + vX_[5670] * vX_[831] + vX_[2041] * vX_[478] + vX_[3702] * vX_[449] +
+ vX_[5453] * vX_[477] + vX_[4993] * vX_[492] + vX_[5029] * vX_[504] + vX_[3654] * vX_[426] +
+ vX_[3660] * vX_[430] + vX_[918] * vX_[420] + vX_[5454] * vX_[438] + vX_[4886] * vX_[466] +
+ vX_[5446] * vX_[495] + vX_[3587] * vX_[465] + vX_[3732] * vX_[462] + vX_[3690] * vX_[5] +
+ vX_[3441] * vX_[10] - (vX_[5680] * vX_[1732] + vX_[3688] * vX_[1543]) +
+ (vX_[5683] * vX_[1723] +
+ (vX_[3284] * vX_[450] + vX_[3719] * vX_[441] + vX_[3288] * vX_[449] + vX_[3581] * vX_[448] +
+ (0 - (vX_[3722] + vX_[2033] * vX_[435] + vX_[3719] * vX_[440])) * 4.027 + vX_[5686] * vX_[425] +
+ vX_[5682] * vX_[420] + vX_[4999] * vX_[427] + vX_[1307] * vX_[461]) *
+ -1 +
+ vX_[3690] * vX_[1882]) *
+ -0.08 -
+ (vX_[5685] * vX_[1940] + vX_[3583] * vX_[480] + vX_[3439] * vX_[432] + vX_[1619] * vX_[437] +
+ vX_[3713] * vX_[503] + vX_[5451] * vX_[431] + vX_[3740] * vX_[425] + vX_[3514] * vX_[442] +
+ vX_[3736] * vX_[468] + vX_[5446] * vX_[494] + vX_[5646] * vX_[493] + vX_[3320] * vX_[2916]) +
+ vX_[3681] * vX_[391] + vX_[2035] * vX_[391] + vX_[5704] * vX_[1946] + vX_[3271] * vX_[1713] +
+ vX_[3265] * vX_[1953] + vX_[3261] * vX_[1949] + vX_[1229] * vX_[1721] + vX_[3698] * vX_[1717] +
+ vX_[0] * vX_[1897] + vX_[2056] * vX_[391] + vX_[5720] * vX_[1702] + vX_[3263] * vX_[1960] +
+ vX_[3248] * vX_[1958] + vX_[1997] * vX_[1729] + vX_[17] * vX_[1727] + vX_[5702] * vX_[1901] +
+ vX_[1538] * vX_[391] + vX_[5703] * vX_[473] + vX_[5450] * vX_[395] + vX_[3299] * vX_[1756] +
+ vX_[3177] * vX_[1906] + (0 - vX_[5740]) * 0.35 + vX_[5259] * vX_[395] * 0.33 + vX_[3278] * vX_[1803] +
+ vX_[3104] * vX_[1822] + (0 - vX_[5679]) * 0.35 + vX_[1999] * vX_[395] * 0.33 + vX_[5708] * vX_[1843] +
+ vX_[5318] * vX_[1834] + vX_[3342] * vX_[1791] + vX_[3029] * vX_[1837] + vX_[3031] * vX_[1797] +
+ vX_[2938] * vX_[1787] + vX_[2928] * vX_[1783] + vX_[5815] * vX_[1789] + vX_[5678] * vX_[1702] * 0.33 +
+ vX_[3512] * vX_[1702] * 0.33 + vX_[3282] * vX_[1877] + vX_[1537] * vX_[1867] + (0 - vX_[5741]) * 0.35 +
+ vX_[4105] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[8721] = vX_[5873] + vX_[8721] * vX_[473] + vX_[8725] * vX_[487];
+ vX_[8727] = vX_[5873] + vX_[8736] * vX_[487] + vX_[8727] * vX_[485];
+ vX_[8747] = vX_[3726] + vX_[5440] + vX_[5873] - vX_[8721] - vX_[8727] + vX_[5879] * vX_[474] + vX_[8747] * vX_[393];
+ vX_[8727] = vX_[8727] + vX_[2912] * vX_[393] + vX_[987] * vX_[489] + vX_[6109] * vX_[4124];
+ vX_[2912] = vX_[8747] - vX_[8727];
+ vX_[8740] = vX_[8738] * vX_[473] + vX_[8740] * vX_[487] + vX_[1491] * vX_[489] + vX_[5882] * vX_[474] +
+ vX_[8793] * vX_[393] + vX_[6103] * vX_[4124];
+ vX_[8793] = vX_[2912] * vX_[421] + vX_[8740] * vX_[433];
+ vX_[5882] = vX_[2912] * vX_[394] + vX_[8740] * vX_[421];
+ vX_[1608] = vX_[5315] + vX_[1608] * vX_[393] + vX_[1970] * vX_[474] * 2. + vX_[6103] * vX_[4121];
+ vX_[5315] = 0 - vX_[8740];
+ vX_[8319] = 0 - (vX_[8736] * vX_[473] + vX_[8725] * vX_[485] + vX_[8723] * vX_[487] + vX_[1560] * vX_[393] +
+ vX_[8319] * vX_[474] + vX_[8790] * vX_[489] + vX_[6075] * vX_[4124] + vX_[6109] * vX_[4133]);
+ vX_[8723] = 0 - vX_[8727];
+ vX_[949] =
+ vX_[9001] + vX_[949] * vX_[393] + vX_[8801] * vX_[489] * 2. + vX_[6109] * vX_[4121] + vX_[6112] * vX_[4124];
+ vX_[8801] = 0 - vX_[949];
+ vX_[8807] = vX_[8810] + vX_[8997] * vX_[393] + vX_[8807] * vX_[489] + vX_[6109] * vX_[4134] + vX_[6114] * vX_[4124];
+ vX_[8810] = 0 - vX_[8807];
+ vX_[8997] = (vX_[8723] * vX_[434] + vX_[8801] * vX_[496] + vX_[8810] * vX_[505]) * 1 / vX_[470];
+ vX_[8723] = vX_[6110] * vX_[2081] + vX_[5315] * vX_[483] + vX_[8319] * vX_[471] + vX_[8723] * vX_[499] + vX_[8997];
+ vX_[5448] = vX_[5880] + vX_[5875] * vX_[474] + vX_[5448] * vX_[393] * 2. + vX_[6103] * vX_[4134];
+ vX_[8747] = 0 - vX_[8747];
+ vX_[8734] = 0 - (0 - (vX_[8738] * vX_[487] + vX_[8734] * vX_[485]) + vX_[9125] * vX_[489] + vX_[8730] * vX_[393] +
+ vX_[2918] * vX_[474] + vX_[6103] * vX_[4133]);
+ vX_[2918] = 0 - vX_[1608];
+ vX_[8738] = 0 - vX_[5448];
+ vX_[5315] = (vX_[8747] * vX_[482] + vX_[8734] * vX_[444] + vX_[5315] * vX_[434] + vX_[2918] * vX_[496] +
+ vX_[8738] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[8747] = vX_[6107] * vX_[2081] + vX_[8747] * vX_[483] + vX_[5315];
+ vX_[8730] = vX_[8723] * vX_[433] + vX_[8747] * vX_[421];
+ vX_[9125] = vX_[8723] * vX_[421] + vX_[8747] * vX_[394];
+ vX_[5880] = vX_[5448] * vX_[421] + vX_[8807] * vX_[433];
+ vX_[9001] = vX_[5448] * vX_[394] + vX_[8807] * vX_[421];
+ vX_[8933] =
+ vX_[5883] + vX_[8933] * vX_[474] + vX_[9123] * vX_[489] * 2. + vX_[6075] * vX_[4134] + vX_[6114] * vX_[4133];
+ vX_[5883] = vX_[949] - vX_[8933];
+ vX_[8721] = 0 - (vX_[8721] + vX_[8322] * vX_[474] + vX_[8931] * vX_[489] + vX_[6075] * vX_[4133]);
+ vX_[8937] =
+ 0 - (vX_[8937] + vX_[1461] * vX_[474] + vX_[5875] * vX_[489] + vX_[6075] * vX_[4121] + vX_[6112] * vX_[4133]);
+ vX_[8933] = 0 - vX_[8933];
+ vX_[8319] =
+ (vX_[8721] * vX_[444] + vX_[8319] * vX_[434] + vX_[8937] * vX_[496] + vX_[8933] * vX_[505]) * 1 / vX_[470];
+ vX_[8721] = 0 - vX_[1608] + vX_[6108] * vX_[2081] + vX_[8734] * vX_[483] + vX_[8721] * vX_[471] + vX_[8319];
+ vX_[9123] = vX_[9123] + vX_[6114] * vX_[4134];
+ vX_[1970] = vX_[1970] + vX_[6112] * vX_[4121];
+ vX_[8734] = 0 - vX_[1970];
+ vX_[5875] = vX_[5875] + vX_[6112] * vX_[4134] + vX_[6114] * vX_[4121];
+ vX_[1461] = 0 - vX_[5875];
+ vX_[6075] = (vX_[8734] * vX_[496] + vX_[1461] * vX_[505]) * 1 / vX_[470];
+ vX_[8322] = 0 - vX_[9123];
+ vX_[8931] = vX_[8322] * vX_[505] * 1 / vX_[470];
+ vX_[8319] = 0 - vX_[6107] * vX_[1449] - vX_[6108] * vX_[4127] - vX_[6110] * vX_[14] - vX_[6111] * vX_[1343] +
+ vX_[6111] * vX_[2081] - vX_[6113] * vX_[1743] - vX_[6115] * vX_[4106] - vX_[5315] * vX_[483] -
+ vX_[8319] * vX_[471] - vX_[8997] * vX_[499] - vX_[6075] * vX_[551] - vX_[8931] * vX_[560];
+ vX_[5315] = 0 - vX_[9123] + vX_[8319];
+ vX_[8931] = vX_[6115] * vX_[2081] + vX_[8738] * vX_[483] + vX_[8933] * vX_[471] + vX_[8810] * vX_[499] +
+ vX_[1461] * vX_[551] + vX_[8322] * vX_[560] + vX_[8931];
+ vX_[6075] = vX_[6113] * vX_[2081] + vX_[2918] * vX_[483] + vX_[8937] * vX_[471] + vX_[8801] * vX_[499] +
+ vX_[8734] * vX_[551] + vX_[6075];
+ vX_[8734] = vX_[5315] * vX_[421] + vX_[8931] * vX_[433];
+ vX_[8937] = vX_[5315] * vX_[394] + vX_[8931] * vX_[421];
+ vX_[2918] = vX_[8734] * vX_[394] + vX_[8937] * vX_[421];
+ vX_[8801] = vX_[9123] + vX_[8734] * vX_[421];
+ vX_[6113] = vX_[9123] + vX_[8937] * vX_[394];
+ vX_[8319] = vX_[1970] + vX_[9123] + vX_[8319] - vX_[8801] - vX_[6113];
+ vX_[1970] = 0 - vX_[8319];
+ vX_[9123] = (vX_[1608] * vX_[421] + vX_[949] * vX_[433]) * -1;
+ vX_[8322] = vX_[9123] + vX_[1970] * vX_[435];
+ vX_[1461] = 0 - vX_[8322];
+ vX_[9123] = 0 - (vX_[5883] * vX_[394] + vX_[8721] * vX_[421]) + vX_[9123];
+ vX_[8933] = (vX_[1608] * vX_[394] + vX_[949] * vX_[421]) * -1;
+ vX_[8738] = vX_[8933] + vX_[8319] * vX_[440];
+ vX_[8810] = 0 - vX_[8738];
+ vX_[6115] = 0 - (vX_[5875] * vX_[394] + vX_[6075] * vX_[421]) + vX_[5875] * vX_[433] * -1 * 2.;
+ vX_[8997] = 0 - vX_[6115];
+ vX_[6111] = vX_[5875] * vX_[421] + vX_[6075] * vX_[433] + vX_[5875] * vX_[421] * -1 * 2.;
+ vX_[6110] = 0 - vX_[6111];
+ vX_[6150] = vX_[6150] * vX_[2089];
+ vX_[6149] = vX_[6149] * vX_[2089] + vX_[6143] * vX_[1761];
+ vX_[6143] = 0 - vX_[6149];
+ vX_[6144] = vX_[6144] * vX_[1761];
+ vX_[6169] = vX_[6142] * vX_[2077] + vX_[6169] * vX_[2082];
+ vX_[6142] = 0 - vX_[6159];
+ vX_[6108] = vX_[6142] * x_in[19] + vX_[8368] * x_in[20];
+ vX_[6107] = vX_[8370] * x_in[26];
+ vX_[8725] = 0 - vX_[6107];
+ vX_[8736] = vX_[8370] * x_in[25];
+ vX_[1560] = 0 - vX_[8736];
+ vX_[6170] = vX_[6170] * vX_[1872];
+ vX_[8790] = 0 - vX_[6113];
+ vX_[8933] = vX_[5883] * vX_[421] + vX_[8721] * vX_[433] + vX_[8933];
+ vX_[1491] = 0 - vX_[2918];
+ vX_[987] = 0 - vX_[6113];
+ vX_[5879] = 0 - vX_[6150] - vX_[6144];
+ vX_[3719] = 0 - vX_[6169];
+ vX_[1147] = 0 - vX_[6108];
+ vX_[3284] = 0 - vX_[6170];
+ jac[280] =
+ 0 -
+ (vX_[6103] * vX_[1732] + vX_[6109] * vX_[1723] + vX_[6099] * vX_[1940] + vX_[6114] * vX_[831] +
+ vX_[2912] * vX_[480] + vX_[8740] * vX_[478] + vX_[8793] * vX_[479] + vX_[5882] * vX_[449] +
+ vX_[1608] * vX_[437] + vX_[8723] * vX_[426] + vX_[5448] * vX_[503] + vX_[949] * vX_[492] +
+ vX_[8747] * vX_[432] + vX_[8807] * vX_[504] + vX_[8730] * vX_[431] + vX_[9125] * vX_[425] +
+ vX_[5880] * vX_[430] + vX_[9001] * vX_[420] + vX_[5883] * vX_[442] + vX_[8721] * vX_[438] +
+ vX_[5315] * vX_[468] + vX_[8931] * vX_[466] + vX_[5875] * vX_[606] + vX_[5875] * vX_[493] +
+ vX_[6075] * vX_[495] + vX_[8734] * vX_[417] + vX_[8937] * vX_[465] +
+ (vX_[2918] * vX_[441] + vX_[1970] * vX_[451] + vX_[8801] * vX_[436] + vX_[1461] * vX_[447] +
+ (vX_[9123] + vX_[8801] * vX_[435]) * 4.027 + vX_[8810] * vX_[449] + vX_[8997] * vX_[431] +
+ vX_[6110] * vX_[430] + vX_[2918] * vX_[415] + vX_[8801] * vX_[467]) *
+ -0.08 +
+ vX_[8780] * vX_[5] + vX_[8782] * vX_[1543] + vX_[8506] * vX_[10] + vX_[8648] * vX_[2916] +
+ (vX_[6112] * vX_[1732] + vX_[8780] * vX_[1882]) * -0.08 + vX_[8336] * vX_[473] + vX_[8326] * vX_[473] -
+ vX_[6150] * vX_[1702] + vX_[6151] * 0.35 + vX_[8328] * vX_[1952] + vX_[8318] * vX_[1950] +
+ vX_[872] * vX_[1720] + vX_[2031] * vX_[1718] + vX_[8575] * vX_[1895] + vX_[8301] * vX_[473] +
+ vX_[6143] * vX_[395] + vX_[8315] * vX_[1961] + vX_[8309] * vX_[1957] + vX_[1141] * vX_[1730] +
+ vX_[3669] * vX_[1726] + vX_[5452] * vX_[1897] + vX_[8652] * vX_[391] + vX_[8311] * vX_[473] -
+ vX_[6144] * vX_[1702] + vX_[6146] * vX_[1760] + vX_[6129] * vX_[1758] + vX_[6145] * vX_[1910] +
+ vX_[8292] * vX_[1908] + vX_[6169] * vX_[1702] * -0.33 + vX_[8343] * vX_[1807] + vX_[8357] * vX_[1805] +
+ vX_[8219] * vX_[1826] + vX_[6108] * vX_[1702] * -0.33 + vX_[8579] * vX_[1841] + vX_[8786] * vX_[1789] +
+ vX_[8221] * vX_[1839] + vX_[8073] * vX_[1783] + vX_[8148] * vX_[1795] + vX_[8075] * vX_[1785] +
+ vX_[8577] * vX_[1793] + vX_[8776] * vX_[1791] + vX_[8725] * vX_[395] * 0.33 + (0 - vX_[8736]) * 0.35 +
+ vX_[1560] * vX_[395] * 0.33 + vX_[8347] * vX_[1881] + vX_[8349] * vX_[1879] + vX_[7945] * vX_[1869] +
+ vX_[7953] * vX_[1824] + vX_[6170] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[6103] * vX_[1723] + vX_[6099] * vX_[831] + vX_[2912] * vX_[478] + vX_[8793] * vX_[449] +
+ vX_[5882] * vX_[477] + vX_[1608] * vX_[492] + vX_[5448] * vX_[504] + vX_[8747] * vX_[426] +
+ vX_[8730] * vX_[430] + vX_[9125] * vX_[420] + vX_[5883] * vX_[438] + vX_[5315] * vX_[466] +
+ vX_[5875] * vX_[495] + vX_[8734] * vX_[465] + vX_[8937] * vX_[462] + vX_[8782] * vX_[5] +
+ vX_[8648] * vX_[10] - (vX_[6109] * vX_[1732] + vX_[8780] * vX_[1543]) +
+ (vX_[6112] * vX_[1723] +
+ (vX_[8319] * vX_[450] + vX_[8790] * vX_[441] + vX_[8322] * vX_[449] + vX_[8738] * vX_[448] +
+ (0 - (vX_[8933] + vX_[2918] * vX_[435] + vX_[8790] * vX_[440])) * 4.027 + vX_[6115] * vX_[425] +
+ vX_[6111] * vX_[420] + vX_[1491] * vX_[427] + vX_[987] * vX_[461]) *
+ -1 +
+ vX_[8782] * vX_[1882]) *
+ -0.08 -
+ (vX_[6114] * vX_[1940] + vX_[8740] * vX_[480] + vX_[8723] * vX_[432] + vX_[949] * vX_[437] +
+ vX_[8807] * vX_[503] + vX_[5880] * vX_[431] + vX_[9001] * vX_[425] + vX_[8721] * vX_[442] +
+ vX_[8931] * vX_[468] + vX_[5875] * vX_[494] + vX_[6075] * vX_[493] + vX_[8506] * vX_[2916]) +
+ vX_[8772] * vX_[391] + vX_[1613] * vX_[391] + vX_[6133] * vX_[1946] + vX_[8332] * vX_[1713] +
+ vX_[8328] * vX_[1953] + vX_[8318] * vX_[1949] + vX_[872] * vX_[1721] + vX_[8769] * vX_[1717] +
+ vX_[3658] * vX_[1897] + vX_[3656] * vX_[391] + vX_[6149] * vX_[1702] + vX_[8269] * vX_[1960] +
+ vX_[8309] * vX_[1958] + vX_[1141] * vX_[1729] + vX_[3669] * vX_[1727] + vX_[6131] * vX_[1901] +
+ vX_[3585] * vX_[391] + vX_[6132] * vX_[473] + vX_[5879] * vX_[395] + vX_[8372] * vX_[1756] +
+ vX_[8298] * vX_[1906] + (0 - vX_[6169]) * 0.35 + vX_[3719] * vX_[395] * 0.33 + vX_[8351] * vX_[1803] +
+ vX_[8225] * vX_[1822] + (0 - vX_[6108]) * 0.35 + vX_[1147] * vX_[395] * 0.33 + vX_[6137] * vX_[1843] +
+ vX_[5737] * vX_[1834] + vX_[8581] * vX_[1791] + vX_[8150] * vX_[1837] + vX_[8152] * vX_[1797] +
+ vX_[8077] * vX_[1787] + vX_[8079] * vX_[1783] + vX_[6244] * vX_[1789] + vX_[6107] * vX_[1702] * 0.33 +
+ vX_[8736] * vX_[1702] * 0.33 + vX_[8339] * vX_[1877] + vX_[7949] * vX_[1867] + (0 - vX_[6170]) * 0.35 +
+ vX_[3284] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[7461] = vX_[6302] + vX_[7461] * vX_[473] + vX_[7465] * vX_[487];
+ vX_[7450] = vX_[6302] + vX_[7459] * vX_[487] + vX_[7450] * vX_[485];
+ vX_[7486] = vX_[1310] + vX_[5869] + vX_[6302] - vX_[7461] - vX_[7450] + vX_[6308] * vX_[474] + vX_[7486] * vX_[393];
+ vX_[7450] = vX_[7450] + vX_[1499] * vX_[393] + vX_[7882] * vX_[489] + vX_[6538] * vX_[4124];
+ vX_[1499] = vX_[7486] - vX_[7450];
+ vX_[7463] = vX_[7423] * vX_[473] + vX_[7463] * vX_[487] + vX_[7941] * vX_[489] + vX_[6311] * vX_[474] +
+ vX_[7656] * vX_[393] + vX_[6532] * vX_[4124];
+ vX_[7656] = vX_[1499] * vX_[421] + vX_[7463] * vX_[433];
+ vX_[6311] = vX_[1499] * vX_[394] + vX_[7463] * vX_[421];
+ vX_[7924] = vX_[5734] + vX_[7924] * vX_[393] + vX_[7886] * vX_[474] * 2. + vX_[6532] * vX_[4121];
+ vX_[5734] = 0 - vX_[7463];
+ vX_[7066] = 0 - (vX_[7459] * vX_[473] + vX_[7465] * vX_[485] + vX_[7446] * vX_[487] + vX_[7951] * vX_[393] +
+ vX_[7066] * vX_[474] + vX_[7535] * vX_[489] + vX_[6504] * vX_[4124] + vX_[6538] * vX_[4133]);
+ vX_[7446] = 0 - vX_[7450];
+ vX_[7917] =
+ vX_[7731] + vX_[7917] * vX_[393] + vX_[7515] * vX_[489] * 2. + vX_[6538] * vX_[4121] + vX_[6541] * vX_[4124];
+ vX_[7515] = 0 - vX_[7917];
+ vX_[7518] = vX_[7660] + vX_[7727] * vX_[393] + vX_[7518] * vX_[489] + vX_[6538] * vX_[4134] + vX_[6543] * vX_[4124];
+ vX_[7660] = 0 - vX_[7518];
+ vX_[7727] = (vX_[7446] * vX_[434] + vX_[7515] * vX_[496] + vX_[7660] * vX_[505]) * 1 / vX_[470];
+ vX_[7446] = vX_[6539] * vX_[2081] + vX_[5734] * vX_[483] + vX_[7066] * vX_[471] + vX_[7446] * vX_[499] + vX_[7727];
+ vX_[5877] = vX_[6309] + vX_[6304] * vX_[474] + vX_[5877] * vX_[393] * 2. + vX_[6532] * vX_[4134];
+ vX_[7486] = 0 - vX_[7486];
+ vX_[7469] = 0 - (0 - (vX_[7423] * vX_[487] + vX_[7469] * vX_[485]) + vX_[7873] * vX_[489] + vX_[7482] * vX_[393] +
+ vX_[1260] * vX_[474] + vX_[6532] * vX_[4133]);
+ vX_[1260] = 0 - vX_[7924];
+ vX_[7423] = 0 - vX_[5877];
+ vX_[5734] = (vX_[7486] * vX_[482] + vX_[7469] * vX_[444] + vX_[5734] * vX_[434] + vX_[1260] * vX_[496] +
+ vX_[7423] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[7486] = vX_[6536] * vX_[2081] + vX_[7486] * vX_[483] + vX_[5734];
+ vX_[7482] = vX_[7446] * vX_[433] + vX_[7486] * vX_[421];
+ vX_[7873] = vX_[7446] * vX_[421] + vX_[7486] * vX_[394];
+ vX_[6309] = vX_[5877] * vX_[421] + vX_[7518] * vX_[433];
+ vX_[7731] = vX_[5877] * vX_[394] + vX_[7518] * vX_[421];
+ vX_[7654] =
+ vX_[6312] + vX_[7654] * vX_[474] + vX_[7888] * vX_[489] * 2. + vX_[6504] * vX_[4134] + vX_[6543] * vX_[4133];
+ vX_[6312] = vX_[7917] - vX_[7654];
+ vX_[7461] = 0 - (vX_[7461] + vX_[7076] * vX_[474] + vX_[7729] * vX_[489] + vX_[6504] * vX_[4133]);
+ vX_[7658] =
+ 0 - (vX_[7658] + vX_[7921] * vX_[474] + vX_[6304] * vX_[489] + vX_[6504] * vX_[4121] + vX_[6541] * vX_[4133]);
+ vX_[7654] = 0 - vX_[7654];
+ vX_[7066] =
+ (vX_[7461] * vX_[444] + vX_[7066] * vX_[434] + vX_[7658] * vX_[496] + vX_[7654] * vX_[505]) * 1 / vX_[470];
+ vX_[7461] = 0 - vX_[7924] + vX_[6537] * vX_[2081] + vX_[7469] * vX_[483] + vX_[7461] * vX_[471] + vX_[7066];
+ vX_[7888] = vX_[7888] + vX_[6543] * vX_[4134];
+ vX_[7886] = vX_[7886] + vX_[6541] * vX_[4121];
+ vX_[7469] = 0 - vX_[7886];
+ vX_[6304] = vX_[6304] + vX_[6541] * vX_[4134] + vX_[6543] * vX_[4121];
+ vX_[7921] = 0 - vX_[6304];
+ vX_[6504] = (vX_[7469] * vX_[496] + vX_[7921] * vX_[505]) * 1 / vX_[470];
+ vX_[7076] = 0 - vX_[7888];
+ vX_[7729] = vX_[7076] * vX_[505] * 1 / vX_[470];
+ vX_[7066] = 0 - vX_[6536] * vX_[1449] - vX_[6537] * vX_[4127] - vX_[6539] * vX_[14] - vX_[6540] * vX_[1343] +
+ vX_[6540] * vX_[2081] - vX_[6542] * vX_[1743] - vX_[6544] * vX_[4106] - vX_[5734] * vX_[483] -
+ vX_[7066] * vX_[471] - vX_[7727] * vX_[499] - vX_[6504] * vX_[551] - vX_[7729] * vX_[560];
+ vX_[5734] = 0 - vX_[7888] + vX_[7066];
+ vX_[7729] = vX_[6544] * vX_[2081] + vX_[7423] * vX_[483] + vX_[7654] * vX_[471] + vX_[7660] * vX_[499] +
+ vX_[7921] * vX_[551] + vX_[7076] * vX_[560] + vX_[7729];
+ vX_[6504] = vX_[6542] * vX_[2081] + vX_[1260] * vX_[483] + vX_[7658] * vX_[471] + vX_[7515] * vX_[499] +
+ vX_[7469] * vX_[551] + vX_[6504];
+ vX_[7469] = vX_[5734] * vX_[421] + vX_[7729] * vX_[433];
+ vX_[7658] = vX_[5734] * vX_[394] + vX_[7729] * vX_[421];
+ vX_[1260] = vX_[7469] * vX_[394] + vX_[7658] * vX_[421];
+ vX_[7515] = vX_[7888] + vX_[7469] * vX_[421];
+ vX_[6542] = vX_[7888] + vX_[7658] * vX_[394];
+ vX_[7066] = vX_[7886] + vX_[7888] + vX_[7066] - vX_[7515] - vX_[6542];
+ vX_[7886] = 0 - vX_[7066];
+ vX_[7888] = (vX_[7924] * vX_[421] + vX_[7917] * vX_[433]) * -1;
+ vX_[7076] = vX_[7888] + vX_[7886] * vX_[435];
+ vX_[7921] = 0 - vX_[7076];
+ vX_[7888] = 0 - (vX_[6312] * vX_[394] + vX_[7461] * vX_[421]) + vX_[7888];
+ vX_[7654] = (vX_[7924] * vX_[394] + vX_[7917] * vX_[421]) * -1;
+ vX_[7423] = vX_[7654] + vX_[7066] * vX_[440];
+ vX_[7660] = 0 - vX_[7423];
+ vX_[6544] = 0 - (vX_[6304] * vX_[394] + vX_[6504] * vX_[421]) + vX_[6304] * vX_[433] * -1 * 2.;
+ vX_[7727] = 0 - vX_[6544];
+ vX_[6540] = vX_[6304] * vX_[421] + vX_[6504] * vX_[433] + vX_[6304] * vX_[421] * -1 * 2.;
+ vX_[6539] = 0 - vX_[6540];
+ vX_[6579] = vX_[6579] * vX_[2089];
+ vX_[6578] = vX_[6578] * vX_[2089] + vX_[6572] * vX_[1761];
+ vX_[6572] = 0 - vX_[6578];
+ vX_[6573] = vX_[6573] * vX_[1761];
+ vX_[6598] = vX_[6571] * vX_[2077] + vX_[6598] * vX_[2082];
+ vX_[6571] = 0 - vX_[6588];
+ vX_[6537] = vX_[6571] * x_in[19] + vX_[7105] * x_in[20];
+ vX_[6536] = vX_[7095] * x_in[26];
+ vX_[7465] = 0 - vX_[6536];
+ vX_[7459] = vX_[7095] * x_in[25];
+ vX_[7951] = 0 - vX_[7459];
+ vX_[6599] = vX_[6599] * vX_[1872];
+ vX_[7535] = 0 - vX_[6542];
+ vX_[7654] = vX_[6312] * vX_[421] + vX_[7461] * vX_[433] + vX_[7654];
+ vX_[7941] = 0 - vX_[1260];
+ vX_[7882] = 0 - vX_[6542];
+ vX_[6308] = 0 - vX_[6579] - vX_[6573];
+ vX_[8790] = 0 - vX_[6598];
+ vX_[1970] = 0 - vX_[6537];
+ vX_[8319] = 0 - vX_[6599];
+ jac[281] =
+ 0 -
+ (vX_[6532] * vX_[1732] + vX_[6538] * vX_[1723] + vX_[6528] * vX_[1940] + vX_[6543] * vX_[831] +
+ vX_[1499] * vX_[480] + vX_[7463] * vX_[478] + vX_[7656] * vX_[479] + vX_[6311] * vX_[449] +
+ vX_[7924] * vX_[437] + vX_[7446] * vX_[426] + vX_[5877] * vX_[503] + vX_[7917] * vX_[492] +
+ vX_[7486] * vX_[432] + vX_[7518] * vX_[504] + vX_[7482] * vX_[431] + vX_[7873] * vX_[425] +
+ vX_[6309] * vX_[430] + vX_[7731] * vX_[420] + vX_[6312] * vX_[442] + vX_[7461] * vX_[438] +
+ vX_[5734] * vX_[468] + vX_[7729] * vX_[466] + vX_[6304] * vX_[606] + vX_[6304] * vX_[493] +
+ vX_[6504] * vX_[495] + vX_[7469] * vX_[417] + vX_[7658] * vX_[465] +
+ (vX_[1260] * vX_[441] + vX_[7886] * vX_[451] + vX_[7515] * vX_[436] + vX_[7921] * vX_[447] +
+ (vX_[7888] + vX_[7515] * vX_[435]) * 4.027 + vX_[7660] * vX_[449] + vX_[7727] * vX_[431] +
+ vX_[6539] * vX_[430] + vX_[1260] * vX_[415] + vX_[7515] * vX_[467]) *
+ -0.08 +
+ vX_[7494] * vX_[5] + vX_[7505] * vX_[1543] + vX_[7306] * vX_[10] + vX_[7448] * vX_[2916] +
+ (vX_[6541] * vX_[1732] + vX_[7494] * vX_[1882]) * -0.08 + vX_[7049] * vX_[473] + vX_[7063] * vX_[473] -
+ vX_[6579] * vX_[1702] + vX_[6580] * 0.35 + vX_[7053] * vX_[1952] + vX_[7059] * vX_[1950] +
+ vX_[7890] * vX_[1720] + vX_[1770] * vX_[1718] + vX_[7375] * vX_[1895] + vX_[7055] * vX_[473] +
+ vX_[6572] * vX_[395] + vX_[7028] * vX_[1961] + vX_[6996] * vX_[1957] + vX_[1936] * vX_[1730] +
+ vX_[8761] * vX_[1726] + vX_[5881] * vX_[1897] + vX_[7452] * vX_[391] + vX_[7036] * vX_[473] -
+ vX_[6573] * vX_[1702] + vX_[6575] * vX_[1760] + vX_[6558] * vX_[1758] + vX_[6574] * vX_[1910] +
+ vX_[7034] * vX_[1908] + vX_[6598] * vX_[1702] * -0.33 + vX_[7097] * vX_[1807] + vX_[7070] * vX_[1805] +
+ vX_[7021] * vX_[1826] + vX_[6537] * vX_[1702] * -0.33 + vX_[7379] * vX_[1841] + vX_[7497] * vX_[1789] +
+ vX_[6946] * vX_[1839] + vX_[6875] * vX_[1783] + vX_[6873] * vX_[1795] + vX_[6800] * vX_[1785] +
+ vX_[7300] * vX_[1793] + vX_[7511] * vX_[1791] + vX_[7465] * vX_[395] * 0.33 + (0 - vX_[7459]) * 0.35 +
+ vX_[7951] * vX_[395] * 0.33 + vX_[7084] * vX_[1881] + vX_[7074] * vX_[1879] + vX_[6802] * vX_[1869] +
+ vX_[6669] * vX_[1824] + vX_[6599] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[6532] * vX_[1723] + vX_[6528] * vX_[831] + vX_[1499] * vX_[478] + vX_[7656] * vX_[449] +
+ vX_[6311] * vX_[477] + vX_[7924] * vX_[492] + vX_[5877] * vX_[504] + vX_[7486] * vX_[426] +
+ vX_[7482] * vX_[430] + vX_[7873] * vX_[420] + vX_[6312] * vX_[438] + vX_[5734] * vX_[466] +
+ vX_[6304] * vX_[495] + vX_[7469] * vX_[465] + vX_[7658] * vX_[462] + vX_[7505] * vX_[5] +
+ vX_[7448] * vX_[10] - (vX_[6538] * vX_[1732] + vX_[7494] * vX_[1543]) +
+ (vX_[6541] * vX_[1723] +
+ (vX_[7066] * vX_[450] + vX_[7535] * vX_[441] + vX_[7076] * vX_[449] + vX_[7423] * vX_[448] +
+ (0 - (vX_[7654] + vX_[1260] * vX_[435] + vX_[7535] * vX_[440])) * 4.027 + vX_[6544] * vX_[425] +
+ vX_[6540] * vX_[420] + vX_[7941] * vX_[427] + vX_[7882] * vX_[461]) *
+ -1 +
+ vX_[7505] * vX_[1882]) *
+ -0.08 -
+ (vX_[6543] * vX_[1940] + vX_[7463] * vX_[480] + vX_[7446] * vX_[432] + vX_[7917] * vX_[437] +
+ vX_[7518] * vX_[503] + vX_[6309] * vX_[431] + vX_[7731] * vX_[425] + vX_[7461] * vX_[442] +
+ vX_[7729] * vX_[468] + vX_[6304] * vX_[494] + vX_[6504] * vX_[493] + vX_[7306] * vX_[2916]) +
+ vX_[7524] * vX_[391] + vX_[1189] * vX_[391] + vX_[6562] * vX_[1946] + vX_[7057] * vX_[1713] +
+ vX_[7053] * vX_[1953] + vX_[7059] * vX_[1949] + vX_[7890] * vX_[1721] + vX_[7514] * vX_[1717] +
+ vX_[8757] * vX_[1897] + vX_[8698] * vX_[391] + vX_[6578] * vX_[1702] + vX_[7045] * vX_[1960] +
+ vX_[6996] * vX_[1958] + vX_[1936] * vX_[1729] + vX_[8761] * vX_[1727] + vX_[6560] * vX_[1901] +
+ vX_[8744] * vX_[391] + vX_[6561] * vX_[473] + vX_[6308] * vX_[395] + vX_[7088] * vX_[1756] +
+ vX_[7023] * vX_[1906] + (0 - vX_[6598]) * 0.35 + vX_[8790] * vX_[395] * 0.33 + vX_[7067] * vX_[1803] +
+ vX_[6950] * vX_[1822] + (0 - vX_[6537]) * 0.35 + vX_[1970] * vX_[395] * 0.33 + vX_[6566] * vX_[1843] +
+ vX_[6166] * vX_[1834] + vX_[7304] * vX_[1791] + vX_[6952] * vX_[1837] + vX_[6877] * vX_[1797] +
+ vX_[6879] * vX_[1787] + vX_[6804] * vX_[1783] + vX_[6673] * vX_[1789] + vX_[6536] * vX_[1702] * 0.33 +
+ vX_[7459] * vX_[1702] * 0.33 + vX_[7080] * vX_[1877] + vX_[6686] * vX_[1867] + (0 - vX_[6599]) * 0.35 +
+ vX_[8319] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[6184] = vX_[6721] + vX_[6184] * vX_[473] + vX_[6188] * vX_[487];
+ vX_[6190] = vX_[6721] + vX_[6194] * vX_[487] + vX_[6190] * vX_[485];
+ vX_[6209] = vX_[7806] + vX_[6298] + vX_[6721] - vX_[6184] - vX_[6190] + vX_[6727] * vX_[474] + vX_[6209] * vX_[393];
+ vX_[6190] = vX_[6190] + vX_[7932] * vX_[393] + vX_[6636] * vX_[489] + vX_[6957] * vX_[4124];
+ vX_[7932] = vX_[6209] - vX_[6190];
+ vX_[6148] = vX_[6197] * vX_[473] + vX_[6148] * vX_[487] + vX_[6682] * vX_[489] + vX_[6730] * vX_[474] +
+ vX_[6381] * vX_[393] + vX_[6951] * vX_[4124];
+ vX_[6381] = vX_[7932] * vX_[421] + vX_[6148] * vX_[433];
+ vX_[6730] = vX_[7932] * vX_[394] + vX_[6148] * vX_[421];
+ vX_[6678] = vX_[6163] + vX_[6678] * vX_[393] + vX_[6623] * vX_[474] * 2. + vX_[6951] * vX_[4121];
+ vX_[6163] = 0 - vX_[6148];
+ vX_[5803] = 0 - (vX_[6194] * vX_[473] + vX_[6188] * vX_[485] + vX_[6186] * vX_[487] + vX_[6676] * vX_[393] +
+ vX_[5803] * vX_[474] + vX_[6387] * vX_[489] + vX_[6923] * vX_[4124] + vX_[6957] * vX_[4133]);
+ vX_[6186] = 0 - vX_[6190];
+ vX_[6630] =
+ vX_[6533] + vX_[6630] * vX_[393] + vX_[6260] * vX_[489] * 2. + vX_[6957] * vX_[4121] + vX_[6960] * vX_[4124];
+ vX_[6260] = 0 - vX_[6630];
+ vX_[6383] = vX_[6385] + vX_[6529] * vX_[393] + vX_[6383] * vX_[489] + vX_[6957] * vX_[4134] + vX_[6962] * vX_[4124];
+ vX_[6385] = 0 - vX_[6383];
+ vX_[6529] = (vX_[6186] * vX_[434] + vX_[6260] * vX_[496] + vX_[6385] * vX_[505]) * 1 / vX_[470];
+ vX_[6186] = vX_[6958] * vX_[2081] + vX_[6163] * vX_[483] + vX_[5803] * vX_[471] + vX_[6186] * vX_[499] + vX_[6529];
+ vX_[6306] = vX_[6728] + vX_[6723] * vX_[474] + vX_[6306] * vX_[393] * 2. + vX_[6951] * vX_[4134];
+ vX_[6209] = 0 - vX_[6209];
+ vX_[6180] = 0 - (0 - (vX_[6197] * vX_[487] + vX_[6180] * vX_[485]) + vX_[6615] * vX_[489] + vX_[6205] * vX_[393] +
+ vX_[7938] * vX_[474] + vX_[6951] * vX_[4133]);
+ vX_[7938] = 0 - vX_[6678];
+ vX_[6197] = 0 - vX_[6306];
+ vX_[6163] = (vX_[6209] * vX_[482] + vX_[6180] * vX_[444] + vX_[6163] * vX_[434] + vX_[7938] * vX_[496] +
+ vX_[6197] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[6209] = vX_[6955] * vX_[2081] + vX_[6209] * vX_[483] + vX_[6163];
+ vX_[6205] = vX_[6186] * vX_[433] + vX_[6209] * vX_[421];
+ vX_[6615] = vX_[6186] * vX_[421] + vX_[6209] * vX_[394];
+ vX_[6728] = vX_[6306] * vX_[421] + vX_[6383] * vX_[433];
+ vX_[6533] = vX_[6306] * vX_[394] + vX_[6383] * vX_[421];
+ vX_[6456] =
+ vX_[6731] + vX_[6456] * vX_[474] + vX_[6613] * vX_[489] * 2. + vX_[6923] * vX_[4134] + vX_[6962] * vX_[4133];
+ vX_[6731] = vX_[6630] - vX_[6456];
+ vX_[6184] = 0 - (vX_[6184] + vX_[5797] * vX_[474] + vX_[6454] * vX_[489] + vX_[6923] * vX_[4133]);
+ vX_[6460] =
+ 0 - (vX_[6460] + vX_[6668] * vX_[474] + vX_[6723] * vX_[489] + vX_[6923] * vX_[4121] + vX_[6960] * vX_[4133]);
+ vX_[6456] = 0 - vX_[6456];
+ vX_[5803] =
+ (vX_[6184] * vX_[444] + vX_[5803] * vX_[434] + vX_[6460] * vX_[496] + vX_[6456] * vX_[505]) * 1 / vX_[470];
+ vX_[6184] = 0 - vX_[6678] + vX_[6956] * vX_[2081] + vX_[6180] * vX_[483] + vX_[6184] * vX_[471] + vX_[5803];
+ vX_[6613] = vX_[6613] + vX_[6962] * vX_[4134];
+ vX_[6623] = vX_[6623] + vX_[6960] * vX_[4121];
+ vX_[6180] = 0 - vX_[6623];
+ vX_[6723] = vX_[6723] + vX_[6960] * vX_[4134] + vX_[6962] * vX_[4121];
+ vX_[6668] = 0 - vX_[6723];
+ vX_[6923] = (vX_[6180] * vX_[496] + vX_[6668] * vX_[505]) * 1 / vX_[470];
+ vX_[5797] = 0 - vX_[6613];
+ vX_[6454] = vX_[5797] * vX_[505] * 1 / vX_[470];
+ vX_[5803] = 0 - vX_[6955] * vX_[1449] - vX_[6956] * vX_[4127] - vX_[6958] * vX_[14] - vX_[6959] * vX_[1343] +
+ vX_[6959] * vX_[2081] - vX_[6961] * vX_[1743] - vX_[6963] * vX_[4106] - vX_[6163] * vX_[483] -
+ vX_[5803] * vX_[471] - vX_[6529] * vX_[499] - vX_[6923] * vX_[551] - vX_[6454] * vX_[560];
+ vX_[6163] = 0 - vX_[6613] + vX_[5803];
+ vX_[6454] = vX_[6963] * vX_[2081] + vX_[6197] * vX_[483] + vX_[6456] * vX_[471] + vX_[6385] * vX_[499] +
+ vX_[6668] * vX_[551] + vX_[5797] * vX_[560] + vX_[6454];
+ vX_[6923] = vX_[6961] * vX_[2081] + vX_[7938] * vX_[483] + vX_[6460] * vX_[471] + vX_[6260] * vX_[499] +
+ vX_[6180] * vX_[551] + vX_[6923];
+ vX_[6180] = vX_[6163] * vX_[421] + vX_[6454] * vX_[433];
+ vX_[6460] = vX_[6163] * vX_[394] + vX_[6454] * vX_[421];
+ vX_[7938] = vX_[6180] * vX_[394] + vX_[6460] * vX_[421];
+ vX_[6260] = vX_[6613] + vX_[6180] * vX_[421];
+ vX_[6961] = vX_[6613] + vX_[6460] * vX_[394];
+ vX_[5803] = vX_[6623] + vX_[6613] + vX_[5803] - vX_[6260] - vX_[6961];
+ vX_[6623] = 0 - vX_[5803];
+ vX_[6613] = (vX_[6678] * vX_[421] + vX_[6630] * vX_[433]) * -1;
+ vX_[5797] = vX_[6613] + vX_[6623] * vX_[435];
+ vX_[6668] = 0 - vX_[5797];
+ vX_[6613] = 0 - (vX_[6731] * vX_[394] + vX_[6184] * vX_[421]) + vX_[6613];
+ vX_[6456] = (vX_[6678] * vX_[394] + vX_[6630] * vX_[421]) * -1;
+ vX_[6197] = vX_[6456] + vX_[5803] * vX_[440];
+ vX_[6385] = 0 - vX_[6197];
+ vX_[6963] = 0 - (vX_[6723] * vX_[394] + vX_[6923] * vX_[421]) + vX_[6723] * vX_[433] * -1 * 2.;
+ vX_[6529] = 0 - vX_[6963];
+ vX_[6959] = vX_[6723] * vX_[421] + vX_[6923] * vX_[433] + vX_[6723] * vX_[421] * -1 * 2.;
+ vX_[6958] = 0 - vX_[6959];
+ vX_[6998] = vX_[6998] * vX_[2089];
+ vX_[6997] = vX_[6997] * vX_[2089] + vX_[6991] * vX_[1761];
+ vX_[6991] = 0 - vX_[6997];
+ vX_[6992] = vX_[6992] * vX_[1761];
+ vX_[7017] = vX_[6990] * vX_[2077] + vX_[7017] * vX_[2082];
+ vX_[6990] = 0 - vX_[7007];
+ vX_[6956] = vX_[6990] * x_in[19] + vX_[5814] * x_in[20];
+ vX_[6955] = vX_[5828] * x_in[26];
+ vX_[6188] = 0 - vX_[6955];
+ vX_[6194] = vX_[5828] * x_in[25];
+ vX_[6676] = 0 - vX_[6194];
+ vX_[7018] = vX_[7018] * vX_[1872];
+ vX_[6387] = 0 - vX_[6961];
+ vX_[6456] = vX_[6731] * vX_[421] + vX_[6184] * vX_[433] + vX_[6456];
+ vX_[6682] = 0 - vX_[7938];
+ vX_[6636] = 0 - vX_[6961];
+ vX_[6727] = 0 - vX_[6998] - vX_[6992];
+ vX_[7535] = 0 - vX_[7017];
+ vX_[7886] = 0 - vX_[6956];
+ vX_[7066] = 0 - vX_[7018];
+ jac[282] =
+ 0 -
+ (vX_[6951] * vX_[1732] + vX_[6957] * vX_[1723] + vX_[6947] * vX_[1940] + vX_[6962] * vX_[831] +
+ vX_[7932] * vX_[480] + vX_[6148] * vX_[478] + vX_[6381] * vX_[479] + vX_[6730] * vX_[449] +
+ vX_[6678] * vX_[437] + vX_[6186] * vX_[426] + vX_[6306] * vX_[503] + vX_[6630] * vX_[492] +
+ vX_[6209] * vX_[432] + vX_[6383] * vX_[504] + vX_[6205] * vX_[431] + vX_[6615] * vX_[425] +
+ vX_[6728] * vX_[430] + vX_[6533] * vX_[420] + vX_[6731] * vX_[442] + vX_[6184] * vX_[438] +
+ vX_[6163] * vX_[468] + vX_[6454] * vX_[466] + vX_[6723] * vX_[606] + vX_[6723] * vX_[493] +
+ vX_[6923] * vX_[495] + vX_[6180] * vX_[417] + vX_[6460] * vX_[465] +
+ (vX_[7938] * vX_[441] + vX_[6623] * vX_[451] + vX_[6260] * vX_[436] + vX_[6668] * vX_[447] +
+ (vX_[6613] + vX_[6260] * vX_[435]) * 4.027 + vX_[6385] * vX_[449] + vX_[6529] * vX_[431] +
+ vX_[6958] * vX_[430] + vX_[7938] * vX_[415] + vX_[6260] * vX_[467]) *
+ -0.08 +
+ vX_[6239] * vX_[5] + vX_[6219] * vX_[1543] + vX_[6029] * vX_[10] + vX_[6171] * vX_[2916] +
+ (vX_[6960] * vX_[1732] + vX_[6239] * vX_[1882]) * -0.08 + vX_[5799] * vX_[473] + vX_[5772] * vX_[473] -
+ vX_[6998] * vX_[1702] + vX_[6999] * 0.35 + vX_[5786] * vX_[1952] + vX_[5780] * vX_[1950] +
+ vX_[6577] * vX_[1720] + vX_[1296] * vX_[1718] + vX_[6098] * vX_[1895] + vX_[5776] * vX_[473] +
+ vX_[6991] * vX_[395] + vX_[5778] * vX_[1961] + vX_[5768] * vX_[1957] + vX_[7892] * vX_[1730] +
+ vX_[7484] * vX_[1726] + vX_[6310] * vX_[1897] + vX_[6175] * vX_[391] + vX_[5719] * vX_[473] -
+ vX_[6992] * vX_[1702] + vX_[6994] * vX_[1760] + vX_[6977] * vX_[1758] + vX_[6993] * vX_[1910] +
+ vX_[5755] * vX_[1908] + vX_[7017] * vX_[1702] * -0.33 + vX_[5818] * vX_[1807] + vX_[5820] * vX_[1805] +
+ vX_[5742] * vX_[1826] + vX_[6956] * vX_[1702] * -0.33 + vX_[6102] * vX_[1841] + vX_[6249] * vX_[1789] +
+ vX_[5744] * vX_[1839] + vX_[5596] * vX_[1783] + vX_[5671] * vX_[1795] + vX_[5598] * vX_[1785] +
+ vX_[6100] * vX_[1793] + vX_[6222] * vX_[1791] + vX_[6188] * vX_[395] * 0.33 + (0 - vX_[6194]) * 0.35 +
+ vX_[6676] * vX_[395] * 0.33 + vX_[5793] * vX_[1881] + vX_[5807] * vX_[1879] + vX_[5523] * vX_[1869] +
+ vX_[5412] * vX_[1824] + vX_[7018] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[6951] * vX_[1723] + vX_[6947] * vX_[831] + vX_[7932] * vX_[478] + vX_[6381] * vX_[449] +
+ vX_[6730] * vX_[477] + vX_[6678] * vX_[492] + vX_[6306] * vX_[504] + vX_[6209] * vX_[426] +
+ vX_[6205] * vX_[430] + vX_[6615] * vX_[420] + vX_[6731] * vX_[438] + vX_[6163] * vX_[466] +
+ vX_[6723] * vX_[495] + vX_[6180] * vX_[465] + vX_[6460] * vX_[462] + vX_[6219] * vX_[5] +
+ vX_[6171] * vX_[10] - (vX_[6957] * vX_[1732] + vX_[6239] * vX_[1543]) +
+ (vX_[6960] * vX_[1723] +
+ (vX_[5803] * vX_[450] + vX_[6387] * vX_[441] + vX_[5797] * vX_[449] + vX_[6197] * vX_[448] +
+ (0 - (vX_[6456] + vX_[7938] * vX_[435] + vX_[6387] * vX_[440])) * 4.027 + vX_[6963] * vX_[425] +
+ vX_[6959] * vX_[420] + vX_[6682] * vX_[427] + vX_[6636] * vX_[461]) *
+ -1 +
+ vX_[6219] * vX_[1882]) *
+ -0.08 -
+ (vX_[6962] * vX_[1940] + vX_[6148] * vX_[480] + vX_[6186] * vX_[432] + vX_[6630] * vX_[437] +
+ vX_[6383] * vX_[503] + vX_[6728] * vX_[431] + vX_[6533] * vX_[425] + vX_[6184] * vX_[442] +
+ vX_[6454] * vX_[468] + vX_[6723] * vX_[494] + vX_[6923] * vX_[493] + vX_[6029] * vX_[2916]) +
+ vX_[6247] * vX_[391] + vX_[7911] * vX_[391] + vX_[6981] * vX_[1946] + vX_[5769] * vX_[1713] +
+ vX_[5786] * vX_[1953] + vX_[5780] * vX_[1949] + vX_[6577] * vX_[1721] + vX_[6253] * vX_[1717] +
+ vX_[7480] * vX_[1897] + vX_[7472] * vX_[391] + vX_[6997] * vX_[1702] + vX_[5782] * vX_[1960] +
+ vX_[5768] * vX_[1958] + vX_[7892] * vX_[1729] + vX_[7484] * vX_[1727] + vX_[6979] * vX_[1901] +
+ vX_[7455] * vX_[391] + vX_[6980] * vX_[473] + vX_[6727] * vX_[395] + vX_[5831] * vX_[1756] +
+ vX_[5761] * vX_[1906] + (0 - vX_[7017]) * 0.35 + vX_[7535] * vX_[395] * 0.33 + vX_[5810] * vX_[1803] +
+ vX_[5748] * vX_[1822] + (0 - vX_[6956]) * 0.35 + vX_[7886] * vX_[395] * 0.33 + vX_[6985] * vX_[1843] +
+ vX_[6595] * vX_[1834] + vX_[6104] * vX_[1791] + vX_[5673] * vX_[1837] + vX_[5675] * vX_[1797] +
+ vX_[5600] * vX_[1787] + vX_[5602] * vX_[1783] + vX_[7092] * vX_[1789] + vX_[6955] * vX_[1702] * 0.33 +
+ vX_[6194] * vX_[1702] * 0.33 + vX_[5801] * vX_[1877] + vX_[5395] * vX_[1867] + (0 - vX_[7018]) * 0.35 +
+ vX_[7066] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[4917] = vX_[7148] + vX_[4917] * vX_[473] + vX_[4871] * vX_[487];
+ vX_[4911] = vX_[7148] + vX_[4903] * vX_[487] + vX_[4911] * vX_[485];
+ vX_[4921] = vX_[6531] + vX_[6717] + vX_[7148] - vX_[4917] - vX_[4911] + vX_[7154] * vX_[474] + vX_[4921] * vX_[393];
+ vX_[4911] = vX_[4911] + vX_[6648] * vX_[393] + vX_[5357] * vX_[489] + vX_[7384] * vX_[4124];
+ vX_[6648] = vX_[4921] - vX_[4911];
+ vX_[4920] = vX_[4934] * vX_[473] + vX_[4920] * vX_[487] + vX_[5403] * vX_[489] + vX_[7157] * vX_[474] +
+ vX_[5179] * vX_[393] + vX_[7378] * vX_[4124];
+ vX_[5179] = vX_[6648] * vX_[421] + vX_[4920] * vX_[433];
+ vX_[7157] = vX_[6648] * vX_[394] + vX_[4920] * vX_[421];
+ vX_[5399] = vX_[6592] + vX_[5399] * vX_[393] + vX_[5332] * vX_[474] * 2. + vX_[7378] * vX_[4121];
+ vX_[6592] = 0 - vX_[4920];
+ vX_[4524] = 0 - (vX_[4903] * vX_[473] + vX_[4871] * vX_[485] + vX_[4907] * vX_[487] + vX_[5409] * vX_[393] +
+ vX_[4524] * vX_[474] + vX_[5108] * vX_[489] + vX_[7350] * vX_[4124] + vX_[7384] * vX_[4133]);
+ vX_[4907] = 0 - vX_[4911];
+ vX_[5380] =
+ vX_[5254] + vX_[5380] * vX_[393] + vX_[5110] * vX_[489] * 2. + vX_[7384] * vX_[4121] + vX_[7387] * vX_[4124];
+ vX_[5110] = 0 - vX_[5380];
+ vX_[5104] = vX_[5183] + vX_[5250] * vX_[393] + vX_[5104] * vX_[489] + vX_[7384] * vX_[4134] + vX_[7389] * vX_[4124];
+ vX_[5183] = 0 - vX_[5104];
+ vX_[5250] = (vX_[4907] * vX_[434] + vX_[5110] * vX_[496] + vX_[5183] * vX_[505]) * 1 / vX_[470];
+ vX_[4907] = vX_[7385] * vX_[2081] + vX_[6592] * vX_[483] + vX_[4524] * vX_[471] + vX_[4907] * vX_[499] + vX_[5250];
+ vX_[6725] = vX_[7155] + vX_[7150] * vX_[474] + vX_[6725] * vX_[393] * 2. + vX_[7378] * vX_[4134];
+ vX_[4921] = 0 - vX_[4921];
+ vX_[4930] = 0 - (0 - (vX_[4934] * vX_[487] + vX_[4930] * vX_[485]) + vX_[5336] * vX_[489] + vX_[4938] * vX_[393] +
+ vX_[6651] * vX_[474] + vX_[7378] * vX_[4133]);
+ vX_[6651] = 0 - vX_[5399];
+ vX_[4934] = 0 - vX_[6725];
+ vX_[6592] = (vX_[4921] * vX_[482] + vX_[4930] * vX_[444] + vX_[6592] * vX_[434] + vX_[6651] * vX_[496] +
+ vX_[4934] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[4921] = vX_[7382] * vX_[2081] + vX_[4921] * vX_[483] + vX_[6592];
+ vX_[4938] = vX_[4907] * vX_[433] + vX_[4921] * vX_[421];
+ vX_[5336] = vX_[4907] * vX_[421] + vX_[4921] * vX_[394];
+ vX_[7155] = vX_[6725] * vX_[421] + vX_[5104] * vX_[433];
+ vX_[5254] = vX_[6725] * vX_[394] + vX_[5104] * vX_[421];
+ vX_[5177] =
+ vX_[7158] + vX_[5177] * vX_[474] + vX_[5346] * vX_[489] * 2. + vX_[7350] * vX_[4134] + vX_[7389] * vX_[4133];
+ vX_[7158] = vX_[5380] - vX_[5177];
+ vX_[4917] = 0 - (vX_[4917] + vX_[4530] * vX_[474] + vX_[5252] * vX_[489] + vX_[7350] * vX_[4133]);
+ vX_[5181] =
+ 0 - (vX_[5181] + vX_[5405] * vX_[474] + vX_[7150] * vX_[489] + vX_[7350] * vX_[4121] + vX_[7387] * vX_[4133]);
+ vX_[5177] = 0 - vX_[5177];
+ vX_[4524] =
+ (vX_[4917] * vX_[444] + vX_[4524] * vX_[434] + vX_[5181] * vX_[496] + vX_[5177] * vX_[505]) * 1 / vX_[470];
+ vX_[4917] = 0 - vX_[5399] + vX_[7383] * vX_[2081] + vX_[4930] * vX_[483] + vX_[4917] * vX_[471] + vX_[4524];
+ vX_[5346] = vX_[5346] + vX_[7389] * vX_[4134];
+ vX_[5332] = vX_[5332] + vX_[7387] * vX_[4121];
+ vX_[4930] = 0 - vX_[5332];
+ vX_[7150] = vX_[7150] + vX_[7387] * vX_[4134] + vX_[7389] * vX_[4121];
+ vX_[5405] = 0 - vX_[7150];
+ vX_[7350] = (vX_[4930] * vX_[496] + vX_[5405] * vX_[505]) * 1 / vX_[470];
+ vX_[4530] = 0 - vX_[5346];
+ vX_[5252] = vX_[4530] * vX_[505] * 1 / vX_[470];
+ vX_[4524] = 0 - vX_[7382] * vX_[1449] - vX_[7383] * vX_[4127] - vX_[7385] * vX_[14] - vX_[7386] * vX_[1343] +
+ vX_[7386] * vX_[2081] - vX_[7388] * vX_[1743] - vX_[7390] * vX_[4106] - vX_[6592] * vX_[483] -
+ vX_[4524] * vX_[471] - vX_[5250] * vX_[499] - vX_[7350] * vX_[551] - vX_[5252] * vX_[560];
+ vX_[6592] = 0 - vX_[5346] + vX_[4524];
+ vX_[5252] = vX_[7390] * vX_[2081] + vX_[4934] * vX_[483] + vX_[5177] * vX_[471] + vX_[5183] * vX_[499] +
+ vX_[5405] * vX_[551] + vX_[4530] * vX_[560] + vX_[5252];
+ vX_[7350] = vX_[7388] * vX_[2081] + vX_[6651] * vX_[483] + vX_[5181] * vX_[471] + vX_[5110] * vX_[499] +
+ vX_[4930] * vX_[551] + vX_[7350];
+ vX_[4930] = vX_[6592] * vX_[421] + vX_[5252] * vX_[433];
+ vX_[5181] = vX_[6592] * vX_[394] + vX_[5252] * vX_[421];
+ vX_[6651] = vX_[4930] * vX_[394] + vX_[5181] * vX_[421];
+ vX_[5110] = vX_[5346] + vX_[4930] * vX_[421];
+ vX_[7388] = vX_[5346] + vX_[5181] * vX_[394];
+ vX_[4524] = vX_[5332] + vX_[5346] + vX_[4524] - vX_[5110] - vX_[7388];
+ vX_[5332] = 0 - vX_[4524];
+ vX_[5346] = (vX_[5399] * vX_[421] + vX_[5380] * vX_[433]) * -1;
+ vX_[4530] = vX_[5346] + vX_[5332] * vX_[435];
+ vX_[5405] = 0 - vX_[4530];
+ vX_[5346] = 0 - (vX_[7158] * vX_[394] + vX_[4917] * vX_[421]) + vX_[5346];
+ vX_[5177] = (vX_[5399] * vX_[394] + vX_[5380] * vX_[421]) * -1;
+ vX_[4934] = vX_[5177] + vX_[4524] * vX_[440];
+ vX_[5183] = 0 - vX_[4934];
+ vX_[7390] = 0 - (vX_[7150] * vX_[394] + vX_[7350] * vX_[421]) + vX_[7150] * vX_[433] * -1 * 2.;
+ vX_[5250] = 0 - vX_[7390];
+ vX_[7386] = vX_[7150] * vX_[421] + vX_[7350] * vX_[433] + vX_[7150] * vX_[421] * -1 * 2.;
+ vX_[7385] = 0 - vX_[7386];
+ vX_[7425] = vX_[7425] * vX_[2089];
+ vX_[7424] = vX_[7424] * vX_[2089] + vX_[7418] * vX_[1761];
+ vX_[7418] = 0 - vX_[7424];
+ vX_[7419] = vX_[7419] * vX_[1761];
+ vX_[7444] = vX_[7417] * vX_[2077] + vX_[7444] * vX_[2082];
+ vX_[7417] = 0 - vX_[7434];
+ vX_[7383] = vX_[7417] * x_in[19] + vX_[4677] * x_in[20];
+ vX_[7382] = vX_[4537] * x_in[26];
+ vX_[4871] = 0 - vX_[7382];
+ vX_[4903] = vX_[4537] * x_in[25];
+ vX_[5409] = 0 - vX_[4903];
+ vX_[7445] = vX_[7445] * vX_[1872];
+ vX_[5108] = 0 - vX_[7388];
+ vX_[5177] = vX_[7158] * vX_[421] + vX_[4917] * vX_[433] + vX_[5177];
+ vX_[5403] = 0 - vX_[6651];
+ vX_[5357] = 0 - vX_[7388];
+ vX_[7154] = 0 - vX_[7425] - vX_[7419];
+ vX_[6387] = 0 - vX_[7444];
+ vX_[6623] = 0 - vX_[7383];
+ vX_[5803] = 0 - vX_[7445];
+ jac[283] =
+ 0 -
+ (vX_[7378] * vX_[1732] + vX_[7384] * vX_[1723] + vX_[7374] * vX_[1940] + vX_[7389] * vX_[831] +
+ vX_[6648] * vX_[480] + vX_[4920] * vX_[478] + vX_[5179] * vX_[479] + vX_[7157] * vX_[449] +
+ vX_[5399] * vX_[437] + vX_[4907] * vX_[426] + vX_[6725] * vX_[503] + vX_[5380] * vX_[492] +
+ vX_[4921] * vX_[432] + vX_[5104] * vX_[504] + vX_[4938] * vX_[431] + vX_[5336] * vX_[425] +
+ vX_[7155] * vX_[430] + vX_[5254] * vX_[420] + vX_[7158] * vX_[442] + vX_[4917] * vX_[438] +
+ vX_[6592] * vX_[468] + vX_[5252] * vX_[466] + vX_[7150] * vX_[606] + vX_[7150] * vX_[493] +
+ vX_[7350] * vX_[495] + vX_[4930] * vX_[417] + vX_[5181] * vX_[465] +
+ (vX_[6651] * vX_[441] + vX_[5332] * vX_[451] + vX_[5110] * vX_[436] + vX_[5405] * vX_[447] +
+ (vX_[5346] + vX_[5110] * vX_[435]) * 4.027 + vX_[5183] * vX_[449] + vX_[5250] * vX_[431] +
+ vX_[7385] * vX_[430] + vX_[6651] * vX_[415] + vX_[5110] * vX_[467]) *
+ -0.08 +
+ vX_[4976] * vX_[5] + vX_[4962] * vX_[1543] + vX_[4827] * vX_[10] + vX_[4909] * vX_[2916] +
+ (vX_[7387] * vX_[1732] + vX_[4976] * vX_[1882]) * -0.08 + vX_[4520] * vX_[473] + vX_[4522] * vX_[473] -
+ vX_[7425] * vX_[1702] + vX_[7426] * 0.35 + vX_[4495] * vX_[1952] + vX_[4492] * vX_[1950] +
+ vX_[5349] * vX_[1720] + vX_[7903] * vX_[1718] + vX_[4896] * vX_[1895] + vX_[4509] * vX_[473] +
+ vX_[7418] * vX_[395] + vX_[4499] * vX_[1961] + vX_[4505] * vX_[1957] + vX_[6617] * vX_[1730] +
+ vX_[6198] * vX_[1726] + vX_[6729] * vX_[1897] + vX_[4913] * vX_[391] + vX_[4491] * vX_[473] -
+ vX_[7419] * vX_[1702] + vX_[7421] * vX_[1760] + vX_[7404] * vX_[1758] + vX_[7420] * vX_[1910] +
+ vX_[4488] * vX_[1908] + vX_[7444] * vX_[1702] * -0.33 + vX_[4551] * vX_[1807] + vX_[4541] * vX_[1805] +
+ vX_[4480] * vX_[1826] + vX_[7383] * vX_[1702] * -0.33 + vX_[4900] * vX_[1841] + vX_[4970] * vX_[1789] +
+ vX_[4465] * vX_[1839] + vX_[4394] * vX_[1783] + vX_[4392] * vX_[1795] + vX_[4319] * vX_[1785] +
+ vX_[4821] * vX_[1793] + vX_[4972] * vX_[1791] + vX_[4871] * vX_[395] * 0.33 + (0 - vX_[4903]) * 0.35 +
+ vX_[5409] * vX_[395] * 0.33 + vX_[4543] * vX_[1881] + vX_[4516] * vX_[1879] + vX_[4321] * vX_[1869] +
+ vX_[4252] * vX_[1824] + vX_[7445] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[7378] * vX_[1723] + vX_[7374] * vX_[831] + vX_[6648] * vX_[478] + vX_[5179] * vX_[449] +
+ vX_[7157] * vX_[477] + vX_[5399] * vX_[492] + vX_[6725] * vX_[504] + vX_[4921] * vX_[426] +
+ vX_[4938] * vX_[430] + vX_[5336] * vX_[420] + vX_[7158] * vX_[438] + vX_[6592] * vX_[466] +
+ vX_[7150] * vX_[495] + vX_[4930] * vX_[465] + vX_[5181] * vX_[462] + vX_[4962] * vX_[5] +
+ vX_[4909] * vX_[10] - (vX_[7384] * vX_[1732] + vX_[4976] * vX_[1543]) +
+ (vX_[7387] * vX_[1723] +
+ (vX_[4524] * vX_[450] + vX_[5108] * vX_[441] + vX_[4530] * vX_[449] + vX_[4934] * vX_[448] +
+ (0 - (vX_[5177] + vX_[6651] * vX_[435] + vX_[5108] * vX_[440])) * 4.027 + vX_[7390] * vX_[425] +
+ vX_[7386] * vX_[420] + vX_[5403] * vX_[427] + vX_[5357] * vX_[461]) *
+ -1 +
+ vX_[4962] * vX_[1882]) *
+ -0.08 -
+ (vX_[7389] * vX_[1940] + vX_[4920] * vX_[480] + vX_[4907] * vX_[432] + vX_[5380] * vX_[437] +
+ vX_[5104] * vX_[503] + vX_[7155] * vX_[431] + vX_[5254] * vX_[425] + vX_[4917] * vX_[442] +
+ vX_[5252] * vX_[468] + vX_[7150] * vX_[494] + vX_[7350] * vX_[493] + vX_[4827] * vX_[2916]) +
+ vX_[4980] * vX_[391] + vX_[6627] * vX_[391] + vX_[7408] * vX_[1946] + vX_[4512] * vX_[1713] +
+ vX_[4495] * vX_[1953] + vX_[4492] * vX_[1949] + vX_[5349] * vX_[1721] + vX_[4974] * vX_[1717] +
+ vX_[6215] * vX_[1897] + vX_[6211] * vX_[391] + vX_[7424] * vX_[1702] + vX_[4503] * vX_[1960] +
+ vX_[4505] * vX_[1958] + vX_[6617] * vX_[1729] + vX_[6198] * vX_[1727] + vX_[7406] * vX_[1901] +
+ vX_[6207] * vX_[391] + vX_[7407] * vX_[473] + vX_[7154] * vX_[395] + vX_[4681] * vX_[1756] +
+ vX_[4482] * vX_[1906] + (0 - vX_[7444]) * 0.35 + vX_[6387] * vX_[395] * 0.33 + vX_[4547] * vX_[1803] +
+ vX_[4469] * vX_[1822] + (0 - vX_[7383]) * 0.35 + vX_[6623] * vX_[395] * 0.33 + vX_[7412] * vX_[1843] +
+ vX_[7014] * vX_[1834] + vX_[4825] * vX_[1791] + vX_[4471] * vX_[1837] + vX_[4396] * vX_[1797] +
+ vX_[4398] * vX_[1787] + vX_[4323] * vX_[1783] + vX_[7519] * vX_[1789] + vX_[7382] * vX_[1702] * 0.33 +
+ vX_[4903] * vX_[1702] * 0.33 + vX_[4513] * vX_[1877] + vX_[4248] * vX_[1867] + (0 - vX_[7445]) * 0.35 +
+ vX_[5803] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[2430] = vX_[7575] + vX_[2430] * vX_[473] + vX_[2447] * vX_[487];
+ vX_[2398] = vX_[7575] + vX_[2457] * vX_[487] + vX_[2398] * vX_[485];
+ vX_[2468] = vX_[5329] + vX_[7144] + vX_[7575] - vX_[2430] - vX_[2398] + vX_[7581] * vX_[474] + vX_[2468] * vX_[393];
+ vX_[2398] = vX_[2398] + vX_[5391] * vX_[393] + vX_[2865] * vX_[489] + vX_[7811] * vX_[4124];
+ vX_[5391] = vX_[2468] - vX_[2398];
+ vX_[2461] = vX_[2459] * vX_[473] + vX_[2461] * vX_[487] + vX_[2890] * vX_[489] + vX_[7584] * vX_[474] +
+ vX_[2675] * vX_[393] + vX_[7805] * vX_[4124];
+ vX_[2675] = vX_[5391] * vX_[421] + vX_[2461] * vX_[433];
+ vX_[7584] = vX_[5391] * vX_[394] + vX_[2461] * vX_[421];
+ vX_[2907] = vX_[7011] + vX_[2907] * vX_[393] + vX_[2857] * vX_[474] * 2. + vX_[7805] * vX_[4121];
+ vX_[7011] = 0 - vX_[2461];
+ vX_[2053] = 0 - (vX_[2457] * vX_[473] + vX_[2447] * vX_[485] + vX_[2444] * vX_[487] + vX_[2893] * vX_[393] +
+ vX_[2053] * vX_[474] + vX_[2681] * vX_[489] + vX_[7777] * vX_[4124] + vX_[7811] * vX_[4133]);
+ vX_[2444] = 0 - vX_[2398];
+ vX_[2876] =
+ vX_[2827] + vX_[2876] * vX_[393] + vX_[2606] * vX_[489] * 2. + vX_[7811] * vX_[4121] + vX_[7814] * vX_[4124];
+ vX_[2606] = 0 - vX_[2876];
+ vX_[2677] = vX_[2679] + vX_[2823] * vX_[393] + vX_[2677] * vX_[489] + vX_[7811] * vX_[4134] + vX_[7816] * vX_[4124];
+ vX_[2679] = 0 - vX_[2677];
+ vX_[2823] = (vX_[2444] * vX_[434] + vX_[2606] * vX_[496] + vX_[2679] * vX_[505]) * 1 / vX_[470];
+ vX_[2444] = vX_[7812] * vX_[2081] + vX_[7011] * vX_[483] + vX_[2053] * vX_[471] + vX_[2444] * vX_[499] + vX_[2823];
+ vX_[7152] = vX_[7582] + vX_[7577] * vX_[474] + vX_[7152] * vX_[393] * 2. + vX_[7805] * vX_[4134];
+ vX_[2468] = 0 - vX_[2468];
+ vX_[2455] = 0 - (0 - (vX_[2459] * vX_[487] + vX_[2455] * vX_[485]) + vX_[2844] * vX_[489] + vX_[2451] * vX_[393] +
+ vX_[5401] * vX_[474] + vX_[7805] * vX_[4133]);
+ vX_[5401] = 0 - vX_[2907];
+ vX_[2459] = 0 - vX_[7152];
+ vX_[7011] = (vX_[2468] * vX_[482] + vX_[2455] * vX_[444] + vX_[7011] * vX_[434] + vX_[5401] * vX_[496] +
+ vX_[2459] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[2468] = vX_[7809] * vX_[2081] + vX_[2468] * vX_[483] + vX_[7011];
+ vX_[2451] = vX_[2444] * vX_[433] + vX_[2468] * vX_[421];
+ vX_[2844] = vX_[2444] * vX_[421] + vX_[2468] * vX_[394];
+ vX_[7582] = vX_[7152] * vX_[421] + vX_[2677] * vX_[433];
+ vX_[2827] = vX_[7152] * vX_[394] + vX_[2677] * vX_[421];
+ vX_[2750] =
+ vX_[7585] + vX_[2750] * vX_[474] + vX_[2830] * vX_[489] * 2. + vX_[7777] * vX_[4134] + vX_[7816] * vX_[4133];
+ vX_[7585] = vX_[2876] - vX_[2750];
+ vX_[2430] = 0 - (vX_[2430] + vX_[2074] * vX_[474] + vX_[2748] * vX_[489] + vX_[7777] * vX_[4133]);
+ vX_[2754] =
+ 0 - (vX_[2754] + vX_[2901] * vX_[474] + vX_[7577] * vX_[489] + vX_[7777] * vX_[4121] + vX_[7814] * vX_[4133]);
+ vX_[2750] = 0 - vX_[2750];
+ vX_[2053] =
+ (vX_[2430] * vX_[444] + vX_[2053] * vX_[434] + vX_[2754] * vX_[496] + vX_[2750] * vX_[505]) * 1 / vX_[470];
+ vX_[2430] = 0 - vX_[2907] + vX_[7810] * vX_[2081] + vX_[2455] * vX_[483] + vX_[2430] * vX_[471] + vX_[2053];
+ vX_[2830] = vX_[2830] + vX_[7816] * vX_[4134];
+ vX_[2857] = vX_[2857] + vX_[7814] * vX_[4121];
+ vX_[2455] = 0 - vX_[2857];
+ vX_[7577] = vX_[7577] + vX_[7814] * vX_[4134] + vX_[7816] * vX_[4121];
+ vX_[2901] = 0 - vX_[7577];
+ vX_[7777] = (vX_[2455] * vX_[496] + vX_[2901] * vX_[505]) * 1 / vX_[470];
+ vX_[2074] = 0 - vX_[2830];
+ vX_[2748] = vX_[2074] * vX_[505] * 1 / vX_[470];
+ vX_[2053] = 0 - vX_[7809] * vX_[1449] - vX_[7810] * vX_[4127] - vX_[7812] * vX_[14] - vX_[7813] * vX_[1343] +
+ vX_[7813] * vX_[2081] - vX_[7815] * vX_[1743] - vX_[7817] * vX_[4106] - vX_[7011] * vX_[483] -
+ vX_[2053] * vX_[471] - vX_[2823] * vX_[499] - vX_[7777] * vX_[551] - vX_[2748] * vX_[560];
+ vX_[7011] = 0 - vX_[2830] + vX_[2053];
+ vX_[2748] = vX_[7817] * vX_[2081] + vX_[2459] * vX_[483] + vX_[2750] * vX_[471] + vX_[2679] * vX_[499] +
+ vX_[2901] * vX_[551] + vX_[2074] * vX_[560] + vX_[2748];
+ vX_[7777] = vX_[7815] * vX_[2081] + vX_[5401] * vX_[483] + vX_[2754] * vX_[471] + vX_[2606] * vX_[499] +
+ vX_[2455] * vX_[551] + vX_[7777];
+ vX_[2455] = vX_[7011] * vX_[421] + vX_[2748] * vX_[433];
+ vX_[2754] = vX_[7011] * vX_[394] + vX_[2748] * vX_[421];
+ vX_[5401] = vX_[2455] * vX_[394] + vX_[2754] * vX_[421];
+ vX_[2606] = vX_[2830] + vX_[2455] * vX_[421];
+ vX_[7815] = vX_[2830] + vX_[2754] * vX_[394];
+ vX_[2053] = vX_[2857] + vX_[2830] + vX_[2053] - vX_[2606] - vX_[7815];
+ vX_[2857] = 0 - vX_[2053];
+ vX_[2830] = (vX_[2907] * vX_[421] + vX_[2876] * vX_[433]) * -1;
+ vX_[2074] = vX_[2830] + vX_[2857] * vX_[435];
+ vX_[2901] = 0 - vX_[2074];
+ vX_[2830] = 0 - (vX_[7585] * vX_[394] + vX_[2430] * vX_[421]) + vX_[2830];
+ vX_[2750] = (vX_[2907] * vX_[394] + vX_[2876] * vX_[421]) * -1;
+ vX_[2459] = vX_[2750] + vX_[2053] * vX_[440];
+ vX_[2679] = 0 - vX_[2459];
+ vX_[7817] = 0 - (vX_[7577] * vX_[394] + vX_[7777] * vX_[421]) + vX_[7577] * vX_[433] * -1 * 2.;
+ vX_[2823] = 0 - vX_[7817];
+ vX_[7813] = vX_[7577] * vX_[421] + vX_[7777] * vX_[433] + vX_[7577] * vX_[421] * -1 * 2.;
+ vX_[7812] = 0 - vX_[7813];
+ vX_[7852] = vX_[7852] * vX_[2089];
+ vX_[7851] = vX_[7851] * vX_[2089] + vX_[7845] * vX_[1761];
+ vX_[7845] = 0 - vX_[7851];
+ vX_[7846] = vX_[7846] * vX_[1761];
+ vX_[7871] = vX_[7844] * vX_[2077] + vX_[7871] * vX_[2082];
+ vX_[7844] = 0 - vX_[7861];
+ vX_[7810] = vX_[7844] * x_in[19] + vX_[2202] * x_in[20];
+ vX_[7809] = vX_[2204] * x_in[26];
+ vX_[2447] = 0 - vX_[7809];
+ vX_[2457] = vX_[2204] * x_in[25];
+ vX_[2893] = 0 - vX_[2457];
+ vX_[7872] = vX_[7872] * vX_[1872];
+ vX_[2681] = 0 - vX_[7815];
+ vX_[2750] = vX_[7585] * vX_[421] + vX_[2430] * vX_[433] + vX_[2750];
+ vX_[2890] = 0 - vX_[5401];
+ vX_[2865] = 0 - vX_[7815];
+ vX_[7581] = 0 - vX_[7852] - vX_[7846];
+ vX_[5108] = 0 - vX_[7871];
+ vX_[5332] = 0 - vX_[7810];
+ vX_[4524] = 0 - vX_[7872];
+ jac[284] =
+ 0 -
+ (vX_[7805] * vX_[1732] + vX_[7811] * vX_[1723] + vX_[7801] * vX_[1940] + vX_[7816] * vX_[831] +
+ vX_[5391] * vX_[480] + vX_[2461] * vX_[478] + vX_[2675] * vX_[479] + vX_[7584] * vX_[449] +
+ vX_[2907] * vX_[437] + vX_[2444] * vX_[426] + vX_[7152] * vX_[503] + vX_[2876] * vX_[492] +
+ vX_[2468] * vX_[432] + vX_[2677] * vX_[504] + vX_[2451] * vX_[431] + vX_[2844] * vX_[425] +
+ vX_[7582] * vX_[430] + vX_[2827] * vX_[420] + vX_[7585] * vX_[442] + vX_[2430] * vX_[438] +
+ vX_[7011] * vX_[468] + vX_[2748] * vX_[466] + vX_[7577] * vX_[606] + vX_[7577] * vX_[493] +
+ vX_[7777] * vX_[495] + vX_[2455] * vX_[417] + vX_[2754] * vX_[465] +
+ (vX_[5401] * vX_[441] + vX_[2857] * vX_[451] + vX_[2606] * vX_[436] + vX_[2901] * vX_[447] +
+ (vX_[2830] + vX_[2606] * vX_[435]) * 4.027 + vX_[2679] * vX_[449] + vX_[2823] * vX_[431] +
+ vX_[7812] * vX_[430] + vX_[5401] * vX_[415] + vX_[2606] * vX_[467]) *
+ -0.08 +
+ vX_[2501] * vX_[5] + vX_[2503] * vX_[1543] + vX_[2352] * vX_[10] + vX_[2434] * vX_[2916] +
+ (vX_[7814] * vX_[1732] + vX_[2501] * vX_[1882]) * -0.08 + vX_[2071] * vX_[473] + vX_[2064] * vX_[473] -
+ vX_[7852] * vX_[1702] + vX_[7853] * 0.35 + vX_[2048] * vX_[1952] + vX_[2043] * vX_[1950] +
+ vX_[2861] * vX_[1720] + vX_[6657] * vX_[1718] + vX_[2421] * vX_[1895] + vX_[2042] * vX_[473] +
+ vX_[7845] * vX_[395] + vX_[2039] * vX_[1961] + vX_[2023] * vX_[1957] + vX_[5300] * vX_[1730] +
+ vX_[4941] * vX_[1726] + vX_[7156] * vX_[1897] + vX_[2438] * vX_[391] + vX_[2034] * vX_[473] -
+ vX_[7846] * vX_[1702] + vX_[7848] * vX_[1760] + vX_[7831] * vX_[1758] + vX_[7847] * vX_[1910] +
+ vX_[2010] * vX_[1908] + vX_[7871] * vX_[1702] * -0.33 + vX_[2106] * vX_[1807] + vX_[2103] * vX_[1805] +
+ vX_[2000] * vX_[1826] + vX_[7810] * vX_[1702] * -0.33 + vX_[2425] * vX_[1841] + vX_[2507] * vX_[1789] +
+ vX_[1984] * vX_[1839] + vX_[1657] * vX_[1783] + vX_[1980] * vX_[1795] + vX_[1664] * vX_[1785] +
+ vX_[2423] * vX_[1793] + vX_[2497] * vX_[1791] + vX_[2447] * vX_[395] * 0.33 + (0 - vX_[2457]) * 0.35 +
+ vX_[2893] * vX_[395] * 0.33 + vX_[2096] * vX_[1881] + vX_[2080] * vX_[1879] + vX_[1347] * vX_[1869] +
+ vX_[952] * vX_[1824] + vX_[7872] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[7805] * vX_[1723] + vX_[7801] * vX_[831] + vX_[5391] * vX_[478] + vX_[2675] * vX_[449] +
+ vX_[7584] * vX_[477] + vX_[2907] * vX_[492] + vX_[7152] * vX_[504] + vX_[2468] * vX_[426] +
+ vX_[2451] * vX_[430] + vX_[2844] * vX_[420] + vX_[7585] * vX_[438] + vX_[7011] * vX_[466] +
+ vX_[7577] * vX_[495] + vX_[2455] * vX_[465] + vX_[2754] * vX_[462] + vX_[2503] * vX_[5] +
+ vX_[2434] * vX_[10] - (vX_[7811] * vX_[1732] + vX_[2501] * vX_[1543]) +
+ (vX_[7814] * vX_[1723] +
+ (vX_[2053] * vX_[450] + vX_[2681] * vX_[441] + vX_[2074] * vX_[449] + vX_[2459] * vX_[448] +
+ (0 - (vX_[2750] + vX_[5401] * vX_[435] + vX_[2681] * vX_[440])) * 4.027 + vX_[7817] * vX_[425] +
+ vX_[7813] * vX_[420] + vX_[2890] * vX_[427] + vX_[2865] * vX_[461]) *
+ -1 +
+ vX_[2503] * vX_[1882]) *
+ -0.08 -
+ (vX_[7816] * vX_[1940] + vX_[2461] * vX_[480] + vX_[2444] * vX_[432] + vX_[2876] * vX_[437] +
+ vX_[2677] * vX_[503] + vX_[7582] * vX_[431] + vX_[2827] * vX_[425] + vX_[2430] * vX_[442] +
+ vX_[2748] * vX_[468] + vX_[7577] * vX_[494] + vX_[7777] * vX_[493] + vX_[2352] * vX_[2916]) +
+ vX_[2493] * vX_[391] + vX_[5370] * vX_[391] + vX_[7835] * vX_[1946] + vX_[2066] * vX_[1713] +
+ vX_[2048] * vX_[1953] + vX_[2043] * vX_[1949] + vX_[2861] * vX_[1721] + vX_[2490] * vX_[1717] +
+ vX_[4924] * vX_[1897] + vX_[4932] * vX_[391] + vX_[7851] * vX_[1702] + vX_[2021] * vX_[1960] +
+ vX_[2023] * vX_[1958] + vX_[5300] * vX_[1729] + vX_[4941] * vX_[1727] + vX_[7833] * vX_[1901] +
+ vX_[4928] * vX_[391] + vX_[7834] * vX_[473] + vX_[7581] * vX_[395] + vX_[2206] * vX_[1756] +
+ vX_[1989] * vX_[1906] + (0 - vX_[7871]) * 0.35 + vX_[5108] * vX_[395] * 0.33 + vX_[2087] * vX_[1803] +
+ vX_[2002] * vX_[1822] + (0 - vX_[7810]) * 0.35 + vX_[5332] * vX_[395] * 0.33 + vX_[7839] * vX_[1843] +
+ vX_[7441] * vX_[1834] + vX_[2427] * vX_[1791] + vX_[1888] * vX_[1837] + vX_[1976] * vX_[1797] +
+ vX_[1575] * vX_[1787] + vX_[1660] * vX_[1783] + vX_[7946] * vX_[1789] + vX_[7809] * vX_[1702] * 0.33 +
+ vX_[2457] * vX_[1702] * 0.33 + vX_[2075] * vX_[1877] + vX_[1036] * vX_[1867] + (0 - vX_[7872]) * 0.35 +
+ vX_[4524] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[1467] = vX_[7994] + vX_[1467] * vX_[473] + vX_[1468] * vX_[487];
+ vX_[1463] = vX_[7994] + vX_[1501] * vX_[487] + vX_[1463] * vX_[485];
+ vX_[1779] = vX_[2825] + vX_[7571] + vX_[7994] - vX_[1467] - vX_[1463] + vX_[8000] * vX_[474] + vX_[1779] * vX_[393];
+ vX_[1463] = vX_[1463] + vX_[2903] * vX_[393] + vX_[1934] * vX_[489] + vX_[8230] * vX_[4124];
+ vX_[2903] = vX_[1779] - vX_[1463];
+ vX_[1774] = vX_[1810] * vX_[473] + vX_[1774] * vX_[487] + vX_[29] * vX_[489] + vX_[8003] * vX_[474] +
+ vX_[991] * vX_[393] + vX_[8224] * vX_[4124];
+ vX_[991] = vX_[2903] * vX_[421] + vX_[1774] * vX_[433];
+ vX_[8003] = vX_[2903] * vX_[394] + vX_[1774] * vX_[421];
+ vX_[28] = vX_[7438] + vX_[28] * vX_[393] + vX_[1771] * vX_[474] * 2. + vX_[8224] * vX_[4121];
+ vX_[7438] = 0 - vX_[1774];
+ vX_[9141] = 0 - (vX_[1501] * vX_[473] + vX_[1468] * vX_[485] + vX_[1244] * vX_[487] + vX_[1043] * vX_[393] +
+ vX_[9141] * vX_[474] + vX_[1029] * vX_[489] + vX_[8196] * vX_[4124] + vX_[8230] * vX_[4133]);
+ vX_[1244] = 0 - vX_[1463];
+ vX_[911] =
+ vX_[1340] + vX_[911] * vX_[393] + vX_[994] * vX_[489] * 2. + vX_[8230] * vX_[4121] + vX_[8233] * vX_[4124];
+ vX_[994] = 0 - vX_[911];
+ vX_[999] = vX_[1143] + vX_[1308] * vX_[393] + vX_[999] * vX_[489] + vX_[8230] * vX_[4134] + vX_[8235] * vX_[4124];
+ vX_[1143] = 0 - vX_[999];
+ vX_[1308] = (vX_[1244] * vX_[434] + vX_[994] * vX_[496] + vX_[1143] * vX_[505]) * 1 / vX_[470];
+ vX_[1244] = vX_[8231] * vX_[2081] + vX_[7438] * vX_[483] + vX_[9141] * vX_[471] + vX_[1244] * vX_[499] + vX_[1308];
+ vX_[7579] = vX_[8001] + vX_[7996] * vX_[474] + vX_[7579] * vX_[393] * 2. + vX_[8224] * vX_[4134];
+ vX_[1779] = 0 - vX_[1779];
+ vX_[1828] = 0 - (0 - (vX_[1810] * vX_[487] + vX_[1828] * vX_[485]) + vX_[1620] * vX_[489] + vX_[1775] * vX_[393] +
+ vX_[2897] * vX_[474] + vX_[8224] * vX_[4133]);
+ vX_[2897] = 0 - vX_[28];
+ vX_[1810] = 0 - vX_[7579];
+ vX_[7438] = (vX_[1779] * vX_[482] + vX_[1828] * vX_[444] + vX_[7438] * vX_[434] + vX_[2897] * vX_[496] +
+ vX_[1810] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[1779] = vX_[8228] * vX_[2081] + vX_[1779] * vX_[483] + vX_[7438];
+ vX_[1775] = vX_[1244] * vX_[433] + vX_[1779] * vX_[421];
+ vX_[1620] = vX_[1244] * vX_[421] + vX_[1779] * vX_[394];
+ vX_[8001] = vX_[7579] * vX_[421] + vX_[999] * vX_[433];
+ vX_[1340] = vX_[7579] * vX_[394] + vX_[999] * vX_[421];
+ vX_[1148] =
+ vX_[8004] + vX_[1148] * vX_[474] + vX_[1612] * vX_[489] * 2. + vX_[8196] * vX_[4134] + vX_[8235] * vX_[4133];
+ vX_[8004] = vX_[911] - vX_[1148];
+ vX_[1467] = 0 - (vX_[1467] + vX_[9140] * vX_[474] + vX_[1236] * vX_[489] + vX_[8196] * vX_[4133]);
+ vX_[1231] =
+ 0 - (vX_[1231] + vX_[26] * vX_[474] + vX_[7996] * vX_[489] + vX_[8196] * vX_[4121] + vX_[8233] * vX_[4133]);
+ vX_[1148] = 0 - vX_[1148];
+ vX_[9141] =
+ (vX_[1467] * vX_[444] + vX_[9141] * vX_[434] + vX_[1231] * vX_[496] + vX_[1148] * vX_[505]) * 1 / vX_[470];
+ vX_[1467] = 0 - vX_[28] + vX_[8229] * vX_[2081] + vX_[1828] * vX_[483] + vX_[1467] * vX_[471] + vX_[9141];
+ vX_[1612] = vX_[1612] + vX_[8235] * vX_[4134];
+ vX_[1771] = vX_[1771] + vX_[8233] * vX_[4121];
+ vX_[1828] = 0 - vX_[1771];
+ vX_[7996] = vX_[7996] + vX_[8233] * vX_[4134] + vX_[8235] * vX_[4121];
+ vX_[26] = 0 - vX_[7996];
+ vX_[8196] = (vX_[1828] * vX_[496] + vX_[26] * vX_[505]) * 1 / vX_[470];
+ vX_[9140] = 0 - vX_[1612];
+ vX_[1236] = vX_[9140] * vX_[505] * 1 / vX_[470];
+ vX_[9141] = 0 - vX_[8228] * vX_[1449] - vX_[8229] * vX_[4127] - vX_[8231] * vX_[14] - vX_[8232] * vX_[1343] +
+ vX_[8232] * vX_[2081] - vX_[8234] * vX_[1743] - vX_[8236] * vX_[4106] - vX_[7438] * vX_[483] -
+ vX_[9141] * vX_[471] - vX_[1308] * vX_[499] - vX_[8196] * vX_[551] - vX_[1236] * vX_[560];
+ vX_[7438] = 0 - vX_[1612] + vX_[9141];
+ vX_[1236] = vX_[8236] * vX_[2081] + vX_[1810] * vX_[483] + vX_[1148] * vX_[471] + vX_[1143] * vX_[499] +
+ vX_[26] * vX_[551] + vX_[9140] * vX_[560] + vX_[1236];
+ vX_[8196] = vX_[8234] * vX_[2081] + vX_[2897] * vX_[483] + vX_[1231] * vX_[471] + vX_[994] * vX_[499] +
+ vX_[1828] * vX_[551] + vX_[8196];
+ vX_[1828] = vX_[7438] * vX_[421] + vX_[1236] * vX_[433];
+ vX_[1231] = vX_[7438] * vX_[394] + vX_[1236] * vX_[421];
+ vX_[2897] = vX_[1828] * vX_[394] + vX_[1231] * vX_[421];
+ vX_[994] = vX_[1612] + vX_[1828] * vX_[421];
+ vX_[8234] = vX_[1612] + vX_[1231] * vX_[394];
+ vX_[9141] = vX_[1771] + vX_[1612] + vX_[9141] - vX_[994] - vX_[8234];
+ vX_[1771] = 0 - vX_[9141];
+ vX_[1612] = (vX_[28] * vX_[421] + vX_[911] * vX_[433]) * -1;
+ vX_[9140] = vX_[1612] + vX_[1771] * vX_[435];
+ vX_[26] = 0 - vX_[9140];
+ vX_[1612] = 0 - (vX_[8004] * vX_[394] + vX_[1467] * vX_[421]) + vX_[1612];
+ vX_[1148] = (vX_[28] * vX_[394] + vX_[911] * vX_[421]) * -1;
+ vX_[1810] = vX_[1148] + vX_[9141] * vX_[440];
+ vX_[1143] = 0 - vX_[1810];
+ vX_[8236] = 0 - (vX_[7996] * vX_[394] + vX_[8196] * vX_[421]) + vX_[7996] * vX_[433] * -1 * 2.;
+ vX_[1308] = 0 - vX_[8236];
+ vX_[8232] = vX_[7996] * vX_[421] + vX_[8196] * vX_[433] + vX_[7996] * vX_[421] * -1 * 2.;
+ vX_[8231] = 0 - vX_[8232];
+ vX_[8271] = vX_[8271] * vX_[2089];
+ vX_[8270] = vX_[8270] * vX_[2089] + vX_[8264] * vX_[1761];
+ vX_[8264] = 0 - vX_[8270];
+ vX_[8265] = vX_[8265] * vX_[1761];
+ vX_[8290] = vX_[8263] * vX_[2077] + vX_[8290] * vX_[2082];
+ vX_[8263] = 0 - vX_[8280];
+ vX_[8229] = vX_[8263] * x_in[19] + vX_[1829] * x_in[20];
+ vX_[8228] = vX_[873] * x_in[26];
+ vX_[1468] = 0 - vX_[8228];
+ vX_[1501] = vX_[873] * x_in[25];
+ vX_[1043] = 0 - vX_[1501];
+ vX_[8291] = vX_[8291] * vX_[1872];
+ vX_[1029] = 0 - vX_[8234];
+ vX_[1148] = vX_[8004] * vX_[421] + vX_[1467] * vX_[433] + vX_[1148];
+ vX_[29] = 0 - vX_[2897];
+ vX_[1934] = 0 - vX_[8234];
+ vX_[8000] = 0 - vX_[8271] - vX_[8265];
+ vX_[2681] = 0 - vX_[8290];
+ vX_[2857] = 0 - vX_[8229];
+ vX_[2053] = 0 - vX_[8291];
+ jac[285] =
+ 0 -
+ (vX_[8224] * vX_[1732] + vX_[8230] * vX_[1723] + vX_[8220] * vX_[1940] + vX_[8235] * vX_[831] +
+ vX_[2903] * vX_[480] + vX_[1774] * vX_[478] + vX_[991] * vX_[479] + vX_[8003] * vX_[449] +
+ vX_[28] * vX_[437] + vX_[1244] * vX_[426] + vX_[7579] * vX_[503] + vX_[911] * vX_[492] +
+ vX_[1779] * vX_[432] + vX_[999] * vX_[504] + vX_[1775] * vX_[431] + vX_[1620] * vX_[425] +
+ vX_[8001] * vX_[430] + vX_[1340] * vX_[420] + vX_[8004] * vX_[442] + vX_[1467] * vX_[438] +
+ vX_[7438] * vX_[468] + vX_[1236] * vX_[466] + vX_[7996] * vX_[606] + vX_[7996] * vX_[493] +
+ vX_[8196] * vX_[495] + vX_[1828] * vX_[417] + vX_[1231] * vX_[465] +
+ (vX_[2897] * vX_[441] + vX_[1771] * vX_[451] + vX_[994] * vX_[436] + vX_[26] * vX_[447] +
+ (vX_[1612] + vX_[994] * vX_[435]) * 4.027 + vX_[1143] * vX_[449] + vX_[1308] * vX_[431] +
+ vX_[8231] * vX_[430] + vX_[2897] * vX_[415] + vX_[994] * vX_[467]) *
+ -0.08 +
+ vX_[1863] * vX_[5] + vX_[1871] * vX_[1543] + vX_[927] * vX_[10] + vX_[1500] * vX_[2916] +
+ (vX_[8233] * vX_[1732] + vX_[1863] * vX_[1882]) * -0.08 + vX_[9142] * vX_[473] + vX_[9144] * vX_[473] -
+ vX_[8271] * vX_[1702] + vX_[8272] * 0.35 + vX_[9146] * vX_[1952] + vX_[9147] * vX_[1950] +
+ vX_[1851] * vX_[1720] + vX_[5378] * vX_[1718] + vX_[1157] * vX_[1895] + vX_[9148] * vX_[473] +
+ vX_[8264] * vX_[395] + vX_[9150] * vX_[1961] + vX_[9151] * vX_[1957] + vX_[2847] * vX_[1730] +
+ vX_[2482] * vX_[1726] + vX_[7583] * vX_[1897] + vX_[1259] * vX_[391] + vX_[9153] * vX_[473] -
+ vX_[8265] * vX_[1702] + vX_[8267] * vX_[1760] + vX_[8250] * vX_[1758] + vX_[8266] * vX_[1910] +
+ vX_[9156] * vX_[1908] + vX_[8290] * vX_[1702] * -0.33 + vX_[837] * vX_[1807] + vX_[9134] * vX_[1805] +
+ vX_[9160] * vX_[1826] + vX_[8229] * vX_[1702] * -0.33 + vX_[1191] * vX_[1841] + vX_[1864] * vX_[1789] +
+ vX_[9162] * vX_[1839] + vX_[9168] * vX_[1783] + vX_[9166] * vX_[1795] + vX_[9170] * vX_[1785] +
+ vX_[1152] * vX_[1793] + vX_[1859] * vX_[1791] + vX_[1468] * vX_[395] * 0.33 + (0 - vX_[1501]) * 0.35 +
+ vX_[1043] * vX_[395] * 0.33 + vX_[9136] * vX_[1881] + vX_[9138] * vX_[1879] + vX_[9172] * vX_[1869] +
+ vX_[9175] * vX_[1824] + vX_[8291] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[8224] * vX_[1723] + vX_[8220] * vX_[831] + vX_[2903] * vX_[478] + vX_[991] * vX_[449] +
+ vX_[8003] * vX_[477] + vX_[28] * vX_[492] + vX_[7579] * vX_[504] + vX_[1779] * vX_[426] +
+ vX_[1775] * vX_[430] + vX_[1620] * vX_[420] + vX_[8004] * vX_[438] + vX_[7438] * vX_[466] +
+ vX_[7996] * vX_[495] + vX_[1828] * vX_[465] + vX_[1231] * vX_[462] + vX_[1871] * vX_[5] +
+ vX_[1500] * vX_[10] - (vX_[8230] * vX_[1732] + vX_[1863] * vX_[1543]) +
+ (vX_[8233] * vX_[1723] +
+ (vX_[9141] * vX_[450] + vX_[1029] * vX_[441] + vX_[9140] * vX_[449] + vX_[1810] * vX_[448] +
+ (0 - (vX_[1148] + vX_[2897] * vX_[435] + vX_[1029] * vX_[440])) * 4.027 + vX_[8236] * vX_[425] +
+ vX_[8232] * vX_[420] + vX_[29] * vX_[427] + vX_[1934] * vX_[461]) *
+ -1 +
+ vX_[1871] * vX_[1882]) *
+ -0.08 -
+ (vX_[8235] * vX_[1940] + vX_[1774] * vX_[480] + vX_[1244] * vX_[432] + vX_[911] * vX_[437] +
+ vX_[999] * vX_[503] + vX_[8001] * vX_[431] + vX_[1340] * vX_[425] + vX_[1467] * vX_[442] +
+ vX_[1236] * vX_[468] + vX_[7996] * vX_[494] + vX_[8196] * vX_[493] + vX_[927] * vX_[2916]) +
+ vX_[1854] * vX_[391] + vX_[2882] * vX_[391] + vX_[8254] * vX_[1946] + vX_[9145] * vX_[1713] +
+ vX_[9146] * vX_[1953] + vX_[9147] * vX_[1949] + vX_[1851] * vX_[1721] + vX_[1865] * vX_[1717] +
+ vX_[2478] * vX_[1897] + vX_[2448] * vX_[391] + vX_[8270] * vX_[1702] + vX_[9149] * vX_[1960] +
+ vX_[9151] * vX_[1958] + vX_[2847] * vX_[1729] + vX_[2482] * vX_[1727] + vX_[8252] * vX_[1901] +
+ vX_[2465] * vX_[391] + vX_[8253] * vX_[473] + vX_[8000] * vX_[395] + vX_[838] * vX_[1756] +
+ vX_[9157] * vX_[1906] + (0 - vX_[8290]) * 0.35 + vX_[2681] * vX_[395] * 0.33 + vX_[9135] * vX_[1803] +
+ vX_[9161] * vX_[1822] + (0 - vX_[8229]) * 0.35 + vX_[2857] * vX_[395] * 0.33 + vX_[8258] * vX_[1843] +
+ vX_[7868] * vX_[1834] + vX_[1156] * vX_[1791] + vX_[9163] * vX_[1837] + vX_[9165] * vX_[1797] +
+ vX_[9167] * vX_[1787] + vX_[9169] * vX_[1783] + vX_[8365] * vX_[1789] + vX_[8228] * vX_[1702] * 0.33 +
+ vX_[1501] * vX_[1702] * 0.33 + vX_[9139] * vX_[1877] + vX_[9176] * vX_[1867] + (0 - vX_[8291]) * 0.35 +
+ vX_[2053] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[9250] = vX_[8423] + vX_[9250] * vX_[473] + vX_[9249] * vX_[487];
+ vX_[9251] = vX_[8423] + vX_[9248] * vX_[487] + vX_[9251] * vX_[485];
+ vX_[9241] = vX_[1454] + vX_[7990] + vX_[8423] - vX_[9250] - vX_[9251] + vX_[8429] * vX_[474] + vX_[9241] * vX_[393];
+ vX_[9251] = vX_[9251] + vX_[2088] * vX_[393] + vX_[9196] * vX_[489] + vX_[8659] * vX_[4124];
+ vX_[2088] = vX_[9241] - vX_[9251];
+ vX_[9247] = vX_[9245] * vX_[473] + vX_[9247] * vX_[487] + vX_[9179] * vX_[489] + vX_[8432] * vX_[474] +
+ vX_[9218] * vX_[393] + vX_[8653] * vX_[4124];
+ vX_[9218] = vX_[2088] * vX_[421] + vX_[9247] * vX_[433];
+ vX_[8432] = vX_[2088] * vX_[394] + vX_[9247] * vX_[421];
+ vX_[9180] = vX_[7865] + vX_[9180] * vX_[393] + vX_[9200] * vX_[474] * 2. + vX_[8653] * vX_[4121];
+ vX_[7865] = 0 - vX_[9247];
+ vX_[9283] = 0 - (vX_[9248] * vX_[473] + vX_[9249] * vX_[485] + vX_[9252] * vX_[487] + vX_[9178] * vX_[393] +
+ vX_[9283] * vX_[474] + vX_[9219] * vX_[489] + vX_[8625] * vX_[4124] + vX_[8659] * vX_[4133]);
+ vX_[9252] = 0 - vX_[9251];
+ vX_[9190] =
+ vX_[9211] + vX_[9190] * vX_[393] + vX_[9221] * vX_[489] * 2. + vX_[8659] * vX_[4121] + vX_[8662] * vX_[4124];
+ vX_[9221] = 0 - vX_[9190];
+ vX_[9220] = vX_[9217] + vX_[9212] * vX_[393] + vX_[9220] * vX_[489] + vX_[8659] * vX_[4134] + vX_[8664] * vX_[4124];
+ vX_[9217] = 0 - vX_[9220];
+ vX_[9212] = (vX_[9252] * vX_[434] + vX_[9221] * vX_[496] + vX_[9217] * vX_[505]) * 1 / vX_[470];
+ vX_[9252] = vX_[8660] * vX_[2081] + vX_[7865] * vX_[483] + vX_[9283] * vX_[471] + vX_[9252] * vX_[499] + vX_[9212];
+ vX_[7998] = vX_[8430] + vX_[8425] * vX_[474] + vX_[7998] * vX_[393] * 2. + vX_[8653] * vX_[4134];
+ vX_[9241] = 0 - vX_[9241];
+ vX_[9246] = 0 - (0 - (vX_[9245] * vX_[487] + vX_[9246] * vX_[485]) + vX_[9204] * vX_[489] + vX_[9242] * vX_[393] +
+ vX_[22] * vX_[474] + vX_[8653] * vX_[4133]);
+ vX_[22] = 0 - vX_[9180];
+ vX_[9245] = 0 - vX_[7998];
+ vX_[7865] = (vX_[9241] * vX_[482] + vX_[9246] * vX_[444] + vX_[7865] * vX_[434] + vX_[22] * vX_[496] +
+ vX_[9245] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[9241] = vX_[8657] * vX_[2081] + vX_[9241] * vX_[483] + vX_[7865];
+ vX_[9242] = vX_[9252] * vX_[433] + vX_[9241] * vX_[421];
+ vX_[9204] = vX_[9252] * vX_[421] + vX_[9241] * vX_[394];
+ vX_[8430] = vX_[7998] * vX_[421] + vX_[9220] * vX_[433];
+ vX_[9211] = vX_[7998] * vX_[394] + vX_[9220] * vX_[421];
+ vX_[9216] =
+ vX_[8433] + vX_[9216] * vX_[474] + vX_[9202] * vX_[489] * 2. + vX_[8625] * vX_[4134] + vX_[8664] * vX_[4133];
+ vX_[8433] = vX_[9190] - vX_[9216];
+ vX_[9250] = 0 - (vX_[9250] + vX_[9282] * vX_[474] + vX_[9214] * vX_[489] + vX_[8625] * vX_[4133]);
+ vX_[9215] =
+ 0 - (vX_[9215] + vX_[9181] * vX_[474] + vX_[8425] * vX_[489] + vX_[8625] * vX_[4121] + vX_[8662] * vX_[4133]);
+ vX_[9216] = 0 - vX_[9216];
+ vX_[9283] =
+ (vX_[9250] * vX_[444] + vX_[9283] * vX_[434] + vX_[9215] * vX_[496] + vX_[9216] * vX_[505]) * 1 / vX_[470];
+ vX_[9250] = 0 - vX_[9180] + vX_[8658] * vX_[2081] + vX_[9246] * vX_[483] + vX_[9250] * vX_[471] + vX_[9283];
+ vX_[9202] = vX_[9202] + vX_[8664] * vX_[4134];
+ vX_[9200] = vX_[9200] + vX_[8662] * vX_[4121];
+ vX_[9246] = 0 - vX_[9200];
+ vX_[8425] = vX_[8425] + vX_[8662] * vX_[4134] + vX_[8664] * vX_[4121];
+ vX_[9181] = 0 - vX_[8425];
+ vX_[8625] = (vX_[9246] * vX_[496] + vX_[9181] * vX_[505]) * 1 / vX_[470];
+ vX_[9282] = 0 - vX_[9202];
+ vX_[9214] = vX_[9282] * vX_[505] * 1 / vX_[470];
+ vX_[9283] = 0 - vX_[8657] * vX_[1449] - vX_[8658] * vX_[4127] - vX_[8660] * vX_[14] - vX_[8661] * vX_[1343] +
+ vX_[8661] * vX_[2081] - vX_[8663] * vX_[1743] - vX_[8665] * vX_[4106] - vX_[7865] * vX_[483] -
+ vX_[9283] * vX_[471] - vX_[9212] * vX_[499] - vX_[8625] * vX_[551] - vX_[9214] * vX_[560];
+ vX_[7865] = 0 - vX_[9202] + vX_[9283];
+ vX_[9214] = vX_[8665] * vX_[2081] + vX_[9245] * vX_[483] + vX_[9216] * vX_[471] + vX_[9217] * vX_[499] +
+ vX_[9181] * vX_[551] + vX_[9282] * vX_[560] + vX_[9214];
+ vX_[8625] = vX_[8663] * vX_[2081] + vX_[22] * vX_[483] + vX_[9215] * vX_[471] + vX_[9221] * vX_[499] +
+ vX_[9246] * vX_[551] + vX_[8625];
+ vX_[9246] = vX_[7865] * vX_[421] + vX_[9214] * vX_[433];
+ vX_[9215] = vX_[7865] * vX_[394] + vX_[9214] * vX_[421];
+ vX_[22] = vX_[9246] * vX_[394] + vX_[9215] * vX_[421];
+ vX_[9221] = vX_[9202] + vX_[9246] * vX_[421];
+ vX_[8663] = vX_[9202] + vX_[9215] * vX_[394];
+ vX_[9283] = vX_[9200] + vX_[9202] + vX_[9283] - vX_[9221] - vX_[8663];
+ vX_[9200] = 0 - vX_[9283];
+ vX_[9202] = (vX_[9180] * vX_[421] + vX_[9190] * vX_[433]) * -1;
+ vX_[9282] = vX_[9202] + vX_[9200] * vX_[435];
+ vX_[9181] = 0 - vX_[9282];
+ vX_[9202] = 0 - (vX_[8433] * vX_[394] + vX_[9250] * vX_[421]) + vX_[9202];
+ vX_[9216] = (vX_[9180] * vX_[394] + vX_[9190] * vX_[421]) * -1;
+ vX_[9245] = vX_[9216] + vX_[9283] * vX_[440];
+ vX_[9217] = 0 - vX_[9245];
+ vX_[8665] = 0 - (vX_[8425] * vX_[394] + vX_[8625] * vX_[421]) + vX_[8425] * vX_[433] * -1 * 2.;
+ vX_[9212] = 0 - vX_[8665];
+ vX_[8661] = vX_[8425] * vX_[421] + vX_[8625] * vX_[433] + vX_[8425] * vX_[421] * -1 * 2.;
+ vX_[8660] = 0 - vX_[8661];
+ vX_[8700] = vX_[8700] * vX_[2089];
+ vX_[8699] = vX_[8699] * vX_[2089] + vX_[8693] * vX_[1761];
+ vX_[8693] = 0 - vX_[8699];
+ vX_[8694] = vX_[8694] * vX_[1761];
+ vX_[8719] = vX_[8692] * vX_[2077] + vX_[8719] * vX_[2082];
+ vX_[8692] = 0 - vX_[8709];
+ vX_[8658] = vX_[8692] * x_in[19] + vX_[9270] * x_in[20];
+ vX_[8657] = vX_[9272] * x_in[26];
+ vX_[9249] = 0 - vX_[8657];
+ vX_[9248] = vX_[9272] * x_in[25];
+ vX_[9178] = 0 - vX_[9248];
+ vX_[8720] = vX_[8720] * vX_[1872];
+ vX_[9219] = 0 - vX_[8663];
+ vX_[9216] = vX_[8433] * vX_[421] + vX_[9250] * vX_[433] + vX_[9216];
+ vX_[9179] = 0 - vX_[22];
+ vX_[9196] = 0 - vX_[8663];
+ vX_[8429] = 0 - vX_[8700] - vX_[8694];
+ vX_[1029] = 0 - vX_[8719];
+ vX_[1771] = 0 - vX_[8658];
+ vX_[9141] = 0 - vX_[8720];
+ jac[286] =
+ 0 -
+ (vX_[8653] * vX_[1732] + vX_[8659] * vX_[1723] + vX_[8649] * vX_[1940] + vX_[8664] * vX_[831] +
+ vX_[2088] * vX_[480] + vX_[9247] * vX_[478] + vX_[9218] * vX_[479] + vX_[8432] * vX_[449] +
+ vX_[9180] * vX_[437] + vX_[9252] * vX_[426] + vX_[7998] * vX_[503] + vX_[9190] * vX_[492] +
+ vX_[9241] * vX_[432] + vX_[9220] * vX_[504] + vX_[9242] * vX_[431] + vX_[9204] * vX_[425] +
+ vX_[8430] * vX_[430] + vX_[9211] * vX_[420] + vX_[8433] * vX_[442] + vX_[9250] * vX_[438] +
+ vX_[7865] * vX_[468] + vX_[9214] * vX_[466] + vX_[8425] * vX_[606] + vX_[8425] * vX_[493] +
+ vX_[8625] * vX_[495] + vX_[9246] * vX_[417] + vX_[9215] * vX_[465] +
+ (vX_[22] * vX_[441] + vX_[9200] * vX_[451] + vX_[9221] * vX_[436] + vX_[9181] * vX_[447] +
+ (vX_[9202] + vX_[9221] * vX_[435]) * 4.027 + vX_[9217] * vX_[449] + vX_[9212] * vX_[431] +
+ vX_[8660] * vX_[430] + vX_[22] * vX_[415] + vX_[9221] * vX_[467]) *
+ -0.08 +
+ vX_[9229] * vX_[5] + vX_[9231] * vX_[1543] + vX_[9261] * vX_[10] + vX_[9254] * vX_[2916] +
+ (vX_[8662] * vX_[1732] + vX_[9229] * vX_[1882]) * -0.08 + vX_[9284] * vX_[473] + vX_[9286] * vX_[473] -
+ vX_[8700] * vX_[1702] + vX_[8701] * 0.35 + vX_[9288] * vX_[1952] + vX_[9289] * vX_[1950] +
+ vX_[9199] * vX_[1720] + vX_[2886] * vX_[1718] + vX_[9258] * vX_[1895] + vX_[9290] * vX_[473] +
+ vX_[8693] * vX_[395] + vX_[9292] * vX_[1961] + vX_[9293] * vX_[1957] + vX_[1766] * vX_[1730] +
+ vX_[1811] * vX_[1726] + vX_[8002] * vX_[1897] + vX_[9253] * vX_[391] + vX_[9295] * vX_[473] -
+ vX_[8694] * vX_[1702] + vX_[8696] * vX_[1760] + vX_[8679] * vX_[1758] + vX_[8695] * vX_[1910] +
+ vX_[9298] * vX_[1908] + vX_[8719] * vX_[1702] * -0.33 + vX_[9274] * vX_[1807] + vX_[9276] * vX_[1805] +
+ vX_[9302] * vX_[1826] + vX_[8658] * vX_[1702] * -0.33 + vX_[9257] * vX_[1841] + vX_[9228] * vX_[1789] +
+ vX_[9304] * vX_[1839] + vX_[9310] * vX_[1783] + vX_[9308] * vX_[1795] + vX_[9312] * vX_[1785] +
+ vX_[9260] * vX_[1793] + vX_[9230] * vX_[1791] + vX_[9249] * vX_[395] * 0.33 + (0 - vX_[9248]) * 0.35 +
+ vX_[9178] * vX_[395] * 0.33 + vX_[9278] * vX_[1881] + vX_[9280] * vX_[1879] + vX_[9314] * vX_[1869] +
+ vX_[9317] * vX_[1824] + vX_[8720] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[8653] * vX_[1723] + vX_[8649] * vX_[831] + vX_[2088] * vX_[478] + vX_[9218] * vX_[449] +
+ vX_[8432] * vX_[477] + vX_[9180] * vX_[492] + vX_[7998] * vX_[504] + vX_[9241] * vX_[426] +
+ vX_[9242] * vX_[430] + vX_[9204] * vX_[420] + vX_[8433] * vX_[438] + vX_[7865] * vX_[466] +
+ vX_[8425] * vX_[495] + vX_[9246] * vX_[465] + vX_[9215] * vX_[462] + vX_[9231] * vX_[5] +
+ vX_[9254] * vX_[10] - (vX_[8659] * vX_[1732] + vX_[9229] * vX_[1543]) +
+ (vX_[8662] * vX_[1723] +
+ (vX_[9283] * vX_[450] + vX_[9219] * vX_[441] + vX_[9282] * vX_[449] + vX_[9245] * vX_[448] +
+ (0 - (vX_[9216] + vX_[22] * vX_[435] + vX_[9219] * vX_[440])) * 4.027 + vX_[8665] * vX_[425] +
+ vX_[8661] * vX_[420] + vX_[9179] * vX_[427] + vX_[9196] * vX_[461]) *
+ -1 +
+ vX_[9231] * vX_[1882]) *
+ -0.08 -
+ (vX_[8664] * vX_[1940] + vX_[9247] * vX_[480] + vX_[9252] * vX_[432] + vX_[9190] * vX_[437] +
+ vX_[9220] * vX_[503] + vX_[8430] * vX_[431] + vX_[9211] * vX_[425] + vX_[9250] * vX_[442] +
+ vX_[9214] * vX_[468] + vX_[8425] * vX_[494] + vX_[8625] * vX_[493] + vX_[9261] * vX_[2916]) +
+ vX_[9226] * vX_[391] + vX_[1995] * vX_[391] + vX_[8683] * vX_[1946] + vX_[9287] * vX_[1713] +
+ vX_[9288] * vX_[1953] + vX_[9289] * vX_[1949] + vX_[9199] * vX_[1721] + vX_[9227] * vX_[1717] +
+ vX_[1780] * vX_[1897] + vX_[1554] * vX_[391] + vX_[8699] * vX_[1702] + vX_[9291] * vX_[1960] +
+ vX_[9293] * vX_[1958] + vX_[1766] * vX_[1729] + vX_[1811] * vX_[1727] + vX_[8681] * vX_[1901] +
+ vX_[1571] * vX_[391] + vX_[8682] * vX_[473] + vX_[8429] * vX_[395] + vX_[9269] * vX_[1756] +
+ vX_[9299] * vX_[1906] + (0 - vX_[8719]) * 0.35 + vX_[1029] * vX_[395] * 0.33 + vX_[9277] * vX_[1803] +
+ vX_[9303] * vX_[1822] + (0 - vX_[8658]) * 0.35 + vX_[1771] * vX_[395] * 0.33 + vX_[8687] * vX_[1843] +
+ vX_[8287] * vX_[1834] + vX_[9259] * vX_[1791] + vX_[9305] * vX_[1837] + vX_[9307] * vX_[1797] +
+ vX_[9309] * vX_[1787] + vX_[9311] * vX_[1783] + vX_[8794] * vX_[1789] + vX_[8657] * vX_[1702] * 0.33 +
+ vX_[9248] * vX_[1702] * 0.33 + vX_[9281] * vX_[1877] + vX_[9318] * vX_[1867] + (0 - vX_[8720]) * 0.35 +
+ vX_[9141] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[9345] = vX_[41] + vX_[9345] * vX_[473] + vX_[9344] * vX_[487];
+ vX_[9346] = vX_[41] + vX_[620] * vX_[487] + vX_[9346] * vX_[485];
+ vX_[9342] = vX_[9209] + vX_[1853] + vX_[41] - vX_[9345] - vX_[9346] + vX_[8858] * vX_[474] + vX_[9342] * vX_[393];
+ vX_[9346] = vX_[9346] + vX_[509] * vX_[393] + vX_[9322] * vX_[489] + vX_[1658] * vX_[4124];
+ vX_[509] = vX_[9342] - vX_[9346];
+ vX_[637] = vX_[590] * vX_[473] + vX_[637] * vX_[487] + vX_[2024] * vX_[489] + vX_[8861] * vX_[474] +
+ vX_[9208] * vX_[393] + vX_[1519] * vX_[4124];
+ vX_[9208] = vX_[509] * vX_[421] + vX_[637] * vX_[433];
+ vX_[8861] = vX_[509] * vX_[394] + vX_[637] * vX_[421];
+ vX_[1763] = vX_[730] + vX_[1763] * vX_[393] + vX_[721] * vX_[474] * 2. + vX_[1519] * vX_[4121];
+ vX_[730] = 0 - vX_[637];
+ vX_[9330] = 0 - (vX_[620] * vX_[473] + vX_[9344] * vX_[485] + vX_[9347] * vX_[487] + vX_[9189] * vX_[393] +
+ vX_[9330] * vX_[474] + vX_[8849] * vX_[489] + vX_[1618] * vX_[4124] + vX_[1658] * vX_[4133]);
+ vX_[9347] = 0 - vX_[9346];
+ vX_[8705] =
+ vX_[633] + vX_[8705] * vX_[393] + vX_[9325] * vX_[489] * 2. + vX_[1658] * vX_[4121] + vX_[9060] * vX_[4124];
+ vX_[9325] = 0 - vX_[8705];
+ vX_[9324] = vX_[8850] + vX_[691] * vX_[393] + vX_[9324] * vX_[489] + vX_[1658] * vX_[4134] + vX_[9064] * vX_[4124];
+ vX_[8850] = 0 - vX_[9324];
+ vX_[691] = (vX_[9347] * vX_[434] + vX_[9325] * vX_[496] + vX_[8850] * vX_[505]) * 1 / vX_[470];
+ vX_[9347] = vX_[1624] * vX_[2081] + vX_[730] * vX_[483] + vX_[9330] * vX_[471] + vX_[9347] * vX_[499] + vX_[691];
+ vX_[618] = vX_[8859] + vX_[602] * vX_[474] + vX_[618] * vX_[393] * 2. + vX_[1519] * vX_[4134];
+ vX_[9342] = 0 - vX_[9342];
+ vX_[624] = 0 - (0 - (vX_[590] * vX_[487] + vX_[624] * vX_[485]) + vX_[8856] * vX_[489] + vX_[9343] * vX_[393] +
+ vX_[689] * vX_[474] + vX_[1519] * vX_[4133]);
+ vX_[689] = 0 - vX_[1763];
+ vX_[590] = 0 - vX_[618];
+ vX_[730] =
+ (vX_[9342] * vX_[482] + vX_[624] * vX_[444] + vX_[730] * vX_[434] + vX_[689] * vX_[496] + vX_[590] * vX_[505]) *
+ 1 / vX_[470];
+ vX_[9342] = vX_[1655] * vX_[2081] + vX_[9342] * vX_[483] + vX_[730];
+ vX_[482] = vX_[9347] * vX_[433] + vX_[9342] * vX_[421];
+ vX_[9343] = vX_[9347] * vX_[421] + vX_[9342] * vX_[394];
+ vX_[8856] = vX_[618] * vX_[421] + vX_[9324] * vX_[433];
+ vX_[393] = vX_[618] * vX_[394] + vX_[9324] * vX_[421];
+ vX_[743] =
+ vX_[8862] + vX_[743] * vX_[474] + vX_[9183] * vX_[489] * 2. + vX_[1618] * vX_[4134] + vX_[9064] * vX_[4133];
+ vX_[8862] = vX_[8705] - vX_[743];
+ vX_[9345] = 0 - (vX_[9345] + vX_[9332] * vX_[474] + vX_[616] * vX_[489] + vX_[1618] * vX_[4133]);
+ vX_[604] =
+ 0 - (vX_[604] + vX_[9182] * vX_[474] + vX_[602] * vX_[489] + vX_[1618] * vX_[4121] + vX_[9060] * vX_[4133]);
+ vX_[743] = 0 - vX_[743];
+ vX_[9330] =
+ (vX_[9345] * vX_[444] + vX_[9330] * vX_[434] + vX_[604] * vX_[496] + vX_[743] * vX_[505]) * 1 / vX_[470];
+ vX_[9345] = 0 - vX_[1763] + vX_[1662] * vX_[2081] + vX_[624] * vX_[483] + vX_[9345] * vX_[471] + vX_[9330];
+ vX_[9183] = vX_[9183] + vX_[9064] * vX_[4134];
+ vX_[721] = vX_[721] + vX_[9060] * vX_[4121];
+ vX_[624] = 0 - vX_[721];
+ vX_[602] = vX_[602] + vX_[9060] * vX_[4134] + vX_[9064] * vX_[4121];
+ vX_[4134] = 0 - vX_[602];
+ vX_[496] = (vX_[624] * vX_[496] + vX_[4134] * vX_[505]) * 1 / vX_[470];
+ vX_[4121] = 0 - vX_[9183];
+ vX_[505] = vX_[4121] * vX_[505] * 1 / vX_[470];
+ vX_[9330] = 0 - vX_[1655] * vX_[1449] - vX_[1662] * vX_[4127] - vX_[1624] * vX_[14] - vX_[9036] * vX_[1343] +
+ vX_[9036] * vX_[2081] - vX_[1654] * vX_[1743] - vX_[9067] * vX_[4106] - vX_[730] * vX_[483] -
+ vX_[9330] * vX_[471] - vX_[691] * vX_[499] - vX_[496] * vX_[551] - vX_[505] * vX_[560];
+ vX_[730] = 0 - vX_[9183] + vX_[9330];
+ vX_[505] = vX_[9067] * vX_[2081] + vX_[590] * vX_[483] + vX_[743] * vX_[471] + vX_[8850] * vX_[499] +
+ vX_[4134] * vX_[551] + vX_[4121] * vX_[560] + vX_[505];
+ vX_[496] = vX_[1654] * vX_[2081] + vX_[689] * vX_[483] + vX_[604] * vX_[471] + vX_[9325] * vX_[499] +
+ vX_[624] * vX_[551] + vX_[496];
+ vX_[624] = vX_[730] * vX_[421] + vX_[505] * vX_[433];
+ vX_[604] = vX_[730] * vX_[394] + vX_[505] * vX_[421];
+ vX_[689] = vX_[624] * vX_[394] + vX_[604] * vX_[421];
+ vX_[9325] = vX_[9183] + vX_[624] * vX_[421];
+ vX_[2081] = vX_[9183] + vX_[604] * vX_[394];
+ vX_[9330] = vX_[721] + vX_[9183] + vX_[9330] - vX_[9325] - vX_[2081];
+ vX_[721] = 0 - vX_[9330];
+ vX_[9183] = (vX_[1763] * vX_[421] + vX_[8705] * vX_[433]) * -1;
+ vX_[1654] = vX_[9183] + vX_[721] * vX_[435];
+ vX_[551] = 0 - vX_[1654];
+ vX_[9183] = 0 - (vX_[8862] * vX_[394] + vX_[9345] * vX_[421]) + vX_[9183];
+ vX_[499] = (vX_[1763] * vX_[394] + vX_[8705] * vX_[421]) * -1;
+ vX_[483] = vX_[499] + vX_[9330] * vX_[440];
+ vX_[471] = 0 - vX_[483];
+ vX_[4121] = 0 - (vX_[602] * vX_[394] + vX_[496] * vX_[421]) + vX_[602] * vX_[433] * -1 * 2.;
+ vX_[4134] = 0 - vX_[4121];
+ vX_[743] = vX_[602] * vX_[421] + vX_[496] * vX_[433] + vX_[602] * vX_[421] * -1 * 2.;
+ vX_[590] = 0 - vX_[743];
+ vX_[9102] = vX_[9102] * vX_[2089];
+ vX_[2089] = vX_[9101] * vX_[2089] + vX_[9095] * vX_[1761];
+ vX_[9101] = 0 - vX_[2089];
+ vX_[1761] = vX_[9096] * vX_[1761];
+ vX_[2077] = vX_[9094] * vX_[2077] + vX_[9121] * vX_[2082];
+ vX_[2082] = 0 - vX_[9111];
+ vX_[9121] = vX_[2082] * x_in[19] + vX_[1830] * x_in[20];
+ vX_[9094] = vX_[1920] * x_in[26];
+ vX_[9096] = 0 - vX_[9094];
+ vX_[9095] = vX_[1920] * x_in[25];
+ vX_[8850] = 0 - vX_[9095];
+ vX_[9122] = vX_[9122] * vX_[1872];
+ vX_[1872] = 0 - vX_[2081];
+ vX_[499] = vX_[8862] * vX_[421] + vX_[9345] * vX_[433] + vX_[499];
+ vX_[9067] = 0 - vX_[689];
+ vX_[560] = 0 - vX_[2081];
+ vX_[691] = 0 - vX_[9102] - vX_[1761];
+ vX_[1343] = 0 - vX_[2077];
+ vX_[1449] = 0 - vX_[9121];
+ vX_[14] = 0 - vX_[9122];
+ jac[287] =
+ 0 -
+ (vX_[1519] * vX_[1732] + vX_[1658] * vX_[1723] + vX_[9063] * vX_[1940] + vX_[9064] * vX_[831] +
+ vX_[509] * vX_[480] + vX_[637] * vX_[478] + vX_[9208] * vX_[479] + vX_[8861] * vX_[449] +
+ vX_[1763] * vX_[437] + vX_[9347] * vX_[426] + vX_[618] * vX_[503] + vX_[8705] * vX_[492] +
+ vX_[9342] * vX_[432] + vX_[9324] * vX_[504] + vX_[482] * vX_[431] + vX_[9343] * vX_[425] +
+ vX_[8856] * vX_[430] + vX_[393] * vX_[420] + vX_[8862] * vX_[442] + vX_[9345] * vX_[438] +
+ vX_[730] * vX_[468] + vX_[505] * vX_[466] + vX_[602] * vX_[606] + vX_[602] * vX_[493] +
+ vX_[496] * vX_[495] + vX_[624] * vX_[417] + vX_[604] * vX_[465] +
+ (vX_[689] * vX_[441] + vX_[721] * vX_[451] + vX_[9325] * vX_[436] + vX_[551] * vX_[447] +
+ (vX_[9183] + vX_[9325] * vX_[435]) * 4.027 + vX_[471] * vX_[449] + vX_[4134] * vX_[431] +
+ vX_[590] * vX_[430] + vX_[689] * vX_[415] + vX_[9325] * vX_[467]) *
+ -0.08 +
+ vX_[9331] * vX_[5] + vX_[1690] * vX_[1543] + vX_[9356] * vX_[10] + vX_[9349] * vX_[2916] +
+ (vX_[9060] * vX_[1732] + vX_[9331] * vX_[1882]) * -0.08 + vX_[1708] * vX_[473] + vX_[1835] * vX_[473] -
+ vX_[9102] * vX_[1702] + vX_[9103] * 0.35 + vX_[1788] * vX_[1952] + vX_[1549] * vX_[1950] +
+ vX_[1698] * vX_[1720] + vX_[8427] * vX_[1718] + vX_[9329] * vX_[1895] + vX_[1555] * vX_[473] +
+ vX_[9101] * vX_[395] + vX_[1921] * vX_[1961] + vX_[1831] * vX_[1957] + vX_[4117] * vX_[1730] +
+ vX_[464] * vX_[1726] + vX_[9243] * vX_[1897] + vX_[9354] * vX_[391] + vX_[9350] * vX_[473] -
+ vX_[1761] * vX_[1702] + vX_[9098] * vX_[1760] + vX_[4114] * vX_[1758] + vX_[9097] * vX_[1910] +
+ vX_[8684] * vX_[1908] + vX_[2077] * vX_[1702] * -0.33 + vX_[1815] * vX_[1807] + vX_[46] * vX_[1805] +
+ vX_[9363] * vX_[1826] + vX_[9121] * vX_[1702] * -0.33 + vX_[9352] * vX_[1841] + vX_[1845] * vX_[1789] +
+ vX_[9365] * vX_[1839] + vX_[9371] * vX_[1783] + vX_[9369] * vX_[1795] + vX_[9373] * vX_[1785] +
+ vX_[1739] * vX_[1793] + vX_[1931] * vX_[1791] + vX_[9096] * vX_[395] * 0.33 + (0 - vX_[9095]) * 0.35 +
+ vX_[8850] * vX_[395] * 0.33 + vX_[1799] * vX_[1881] + vX_[460] * vX_[1879] + vX_[9374] * vX_[1869] +
+ vX_[9377] * vX_[1824] + vX_[9122] * vX_[1702] * -0.33) *
+ vX_[3666] +
+ (vX_[1519] * vX_[1723] + vX_[9063] * vX_[831] + vX_[509] * vX_[478] + vX_[9208] * vX_[449] +
+ vX_[8861] * vX_[477] + vX_[1763] * vX_[492] + vX_[618] * vX_[504] + vX_[9342] * vX_[426] +
+ vX_[482] * vX_[430] + vX_[9343] * vX_[420] + vX_[8862] * vX_[438] + vX_[730] * vX_[466] +
+ vX_[602] * vX_[495] + vX_[624] * vX_[465] + vX_[604] * vX_[462] + vX_[1690] * vX_[5] + vX_[9349] * vX_[10] -
+ (vX_[1658] * vX_[1732] + vX_[9331] * vX_[1543]) +
+ (vX_[9060] * vX_[1723] +
+ (vX_[9330] * vX_[450] + vX_[1872] * vX_[441] + vX_[1654] * vX_[449] + vX_[483] * vX_[448] +
+ (0 - (vX_[499] + vX_[689] * vX_[435] + vX_[1872] * vX_[440])) * 4.027 + vX_[4121] * vX_[425] +
+ vX_[743] * vX_[420] + vX_[9067] * vX_[427] + vX_[560] * vX_[461]) *
+ -1 +
+ vX_[1690] * vX_[1882]) *
+ -0.08 -
+ (vX_[9064] * vX_[1940] + vX_[637] * vX_[480] + vX_[9347] * vX_[432] + vX_[8705] * vX_[437] +
+ vX_[9324] * vX_[503] + vX_[8856] * vX_[431] + vX_[393] * vX_[425] + vX_[9345] * vX_[442] +
+ vX_[505] * vX_[468] + vX_[602] * vX_[494] + vX_[496] * vX_[493] + vX_[9356] * vX_[2916]) +
+ vX_[9328] * vX_[391] + vX_[9191] * vX_[391] + vX_[552] * vX_[1946] + vX_[1821] * vX_[1713] +
+ vX_[1788] * vX_[1953] + vX_[1549] * vX_[1949] + vX_[1698] * vX_[1721] + vX_[9085] * vX_[1717] +
+ vX_[9355] * vX_[1897] + vX_[1140] * vX_[391] + vX_[2089] * vX_[1702] + vX_[1812] * vX_[1960] +
+ vX_[1831] * vX_[1958] + vX_[4117] * vX_[1729] + vX_[464] * vX_[1727] + vX_[9201] * vX_[1901] +
+ vX_[559] * vX_[391] + vX_[9084] * vX_[473] + vX_[691] * vX_[395] + vX_[1305] * vX_[1756] +
+ vX_[1617] * vX_[1906] + (0 - vX_[2077]) * 0.35 + vX_[1343] * vX_[395] * 0.33 + vX_[9083] * vX_[1803] +
+ vX_[9364] * vX_[1822] + (0 - vX_[9121]) * 0.35 + vX_[1449] * vX_[395] * 0.33 + vX_[9089] * vX_[1843] +
+ vX_[8716] * vX_[1834] + vX_[6] * vX_[1791] + vX_[9366] * vX_[1837] + vX_[9368] * vX_[1797] +
+ vX_[9370] * vX_[1787] + vX_[9372] * vX_[1783] + vX_[1818] * vX_[1789] + vX_[9094] * vX_[1702] * 0.33 +
+ vX_[9095] * vX_[1702] * 0.33 + vX_[9357] * vX_[1877] + vX_[9378] * vX_[1867] + (0 - vX_[9122]) * 0.35 +
+ vX_[14] * vX_[395] * 0.33) *
+ vX_[1426];
+ vX_[3738] = vX_[2929] + vX_[3674] * vX_[421] + vX_[3738] * vX_[435] + vX_[1688] * vX_[1904];
+ vX_[3343] = vX_[2929] + vX_[390] * vX_[394] + vX_[3343] * vX_[440] + vX_[1689] * vX_[1963];
+ vX_[2929] = vX_[3738] - vX_[3343];
+ vX_[3411] = vX_[3674] * vX_[394] + vX_[390] * vX_[421] + vX_[3285] * vX_[440] + vX_[3411] * vX_[435] +
+ vX_[1688] * vX_[1963] + vX_[1689] * vX_[1904];
+ vX_[3285] = vX_[2929] * vX_[395] + vX_[3411] * vX_[398];
+ vX_[390] = vX_[2929] * vX_[397] + vX_[3411] * vX_[395];
+ vX_[3738] = 0 - vX_[3738];
+ vX_[3674] = 0 - vX_[3411];
+ vX_[3672] = vX_[3442] * vX_[421] + vX_[650] * vX_[433] + vX_[3672] * vX_[435] + vX_[1688] * vX_[2078] +
+ vX_[1683] * vX_[1904];
+ vX_[1872] = 0 - vX_[3672];
+ vX_[1676] = vX_[3442] * vX_[394] + vX_[650] * vX_[421] + vX_[1676] * vX_[435] + vX_[1688] * vX_[4138] +
+ vX_[1696] * vX_[1904];
+ vX_[650] = 0 - vX_[1676];
+ vX_[3442] =
+ (vX_[3738] * vX_[428] + vX_[3674] * vX_[416] + vX_[1872] * vX_[424] + vX_[650] * vX_[406]) * 1 / vX_[418];
+ vX_[3738] = vX_[1692] * vX_[1947] + vX_[3738] * vX_[429] + vX_[3442];
+ vX_[1681] = vX_[3686] * vX_[421] + vX_[3676] * vX_[433] + vX_[1681] * vX_[440] + vX_[1689] * vX_[2078] +
+ vX_[1683] * vX_[1963];
+ vX_[3343] = 0 - vX_[3343];
+ vX_[721] = 0 - vX_[1681];
+ vX_[1677] = vX_[3686] * vX_[394] + vX_[3676] * vX_[421] + vX_[1677] * vX_[440] + vX_[1689] * vX_[4138] +
+ vX_[1696] * vX_[1963];
+ vX_[3676] = 0 - vX_[1677];
+ vX_[3686] = (vX_[3343] * vX_[416] + vX_[721] * vX_[424] + vX_[3676] * vX_[406]) * 1 / vX_[418];
+ vX_[3343] = vX_[1693] * vX_[1947] + vX_[3674] * vX_[429] + vX_[3343] * vX_[419] + vX_[3686];
+ vX_[656] = vX_[3665] + vX_[4100] * vX_[435] + vX_[656] * vX_[440] * 2. + vX_[1682] * vX_[4138] - vX_[3343];
+ vX_[3665] = vX_[3657] + vX_[1683] * vX_[2078];
+ vX_[1679] = vX_[1679] + vX_[1696] * vX_[4138];
+ vX_[3674] = vX_[3665] - vX_[1679];
+ vX_[9330] = 0 - vX_[3665];
+ vX_[4100] = vX_[4100] + vX_[1683] * vX_[4138] + vX_[1696] * vX_[2078];
+ vX_[604] = 0 - vX_[4100];
+ vX_[624] = (vX_[9330] * vX_[424] + vX_[604] * vX_[406]) * 1 / vX_[418];
+ vX_[9330] = vX_[1695] * vX_[1947] + vX_[1872] * vX_[429] + vX_[721] * vX_[419] + vX_[9330] * vX_[463] + vX_[624];
+ vX_[721] = 0 - vX_[1679];
+ vX_[1872] = vX_[721] * vX_[406] * 1 / vX_[418];
+ vX_[721] = vX_[1697] * vX_[1947] + vX_[650] * vX_[429] + vX_[3676] * vX_[419] + vX_[604] * vX_[463] +
+ vX_[721] * vX_[459] + vX_[1872];
+ vX_[604] = 0 - vX_[721];
+ vX_[3676] = vX_[3674] * vX_[395] + vX_[4100] * vX_[398];
+ vX_[650] = vX_[3674] * vX_[397] + vX_[4100] * vX_[395];
+ vX_[496] = vX_[1679] + vX_[3676] * vX_[395];
+ vX_[505] = vX_[1679] + vX_[650] * vX_[397];
+ vX_[1872] = vX_[3665] + vX_[1679] + 0 - vX_[1692] * vX_[3731] - vX_[1693] * vX_[1120] - vX_[1694] * vX_[1747] +
+ vX_[1694] * vX_[1947] - vX_[1695] * vX_[1899] - vX_[1697] * vX_[1704] - vX_[3442] * vX_[429] -
+ vX_[3686] * vX_[419] - vX_[624] * vX_[463] - vX_[1872] * vX_[459] - vX_[496] - vX_[505];
+ vX_[624] = 0 - vX_[505];
+ vX_[1679] = vX_[3738] * vX_[395] + vX_[3343] * vX_[398];
+ vX_[3665] = 0 - vX_[1872];
+ vX_[3686] = vX_[1679] + vX_[3665] * vX_[403];
+ vX_[3442] = vX_[3738] * vX_[397] + vX_[3343] * vX_[395];
+ vX_[1697] = vX_[3442] + vX_[1872] * vX_[400];
+ vX_[3557] = 0 - (vX_[3696] + vX_[3557] * vX_[440] + vX_[3657] * vX_[435] * 2. + vX_[1682] * vX_[2078]) + vX_[3738];
+ vX_[3696] = vX_[3676] * vX_[397] + vX_[650] * vX_[395];
+ vX_[3657] = cos(x_in[8]);
+ vX_[1682] = 0 - vX_[721];
+ vX_[1695] = sin(x_in[8]);
+ vX_[1694] = cos(x_in[8]);
+ jac[306] =
+ (vX_[1688] * vX_[4110] + vX_[1683] * vX_[47] + vX_[2929] * vX_[445] + vX_[3285] * 0.00185880198235362 +
+ vX_[390] * -7.4114911576828e-06 + vX_[3738] * vX_[414] + vX_[1676] * vX_[399] + vX_[3672] * vX_[423] +
+ (vX_[1681] * vX_[398] + vX_[3672] * vX_[395]) * 8.81e-05 + vX_[656] * vX_[409] + vX_[3674] * vX_[456] +
+ vX_[9330] * vX_[405] + vX_[604] * vX_[401] + vX_[3676] * vX_[455] + vX_[650] * vX_[454] +
+ vX_[3644] * vX_[1145] + vX_[3515] * vX_[43] - (vX_[1689] * vX_[1734] + vX_[3661] * vX_[916]) +
+ (vX_[1691] * vX_[4110] + vX_[1872] * vX_[411] + vX_[624] * vX_[412] + vX_[3686] * 0.00185880198235362 +
+ vX_[1697] * 0.880992588508842 +
+ (0 - (vX_[656] * vX_[395] + vX_[3557] * vX_[398] + vX_[3442] + vX_[3696] * vX_[403] +
+ vX_[624] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[604] * vX_[397] + vX_[9330] * vX_[395]) + (vX_[9330] * vX_[395] + vX_[721] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[3696]) * -0.1104774 + (0 - vX_[505]) * 0.000881 + vX_[3644] * vX_[1233]) *
+ 0.35 -
+ (vX_[1696] * vX_[1955] + vX_[3411] * vX_[446] + vX_[3343] * vX_[410] + vX_[1681] * vX_[422] +
+ vX_[1677] * vX_[396] + (vX_[1676] * vX_[397] + vX_[1677] * vX_[395]) * -8.81e-05 +
+ vX_[3557] * vX_[413] + vX_[721] * vX_[402] + vX_[4100] * vX_[457] + vX_[9330] * vX_[404] +
+ vX_[3329] * vX_[15])) *
+ vX_[3657] -
+ (vX_[1688] * vX_[1734] + vX_[1689] * vX_[4110] + vX_[1683] * vX_[1955] + vX_[1696] * vX_[47] +
+ vX_[2929] * vX_[446] + vX_[3411] * vX_[445] + vX_[3285] * -0.466187537174287 +
+ vX_[390] * 0.00185880198235362 + vX_[3738] * vX_[410] + vX_[3343] * vX_[414] + vX_[1681] * vX_[423] +
+ vX_[1676] * vX_[396] + vX_[3672] * vX_[422] + vX_[1677] * vX_[399] +
+ (vX_[1681] * vX_[395] + vX_[3672] * vX_[397]) * -8.81e-05 +
+ (vX_[1676] * vX_[395] + vX_[1677] * vX_[398]) * 8.81e-05 + vX_[656] * vX_[413] + vX_[3557] * vX_[409] +
+ vX_[3674] * vX_[457] + vX_[9330] * vX_[402] + vX_[721] * vX_[405] + vX_[4100] * vX_[456] +
+ vX_[1682] * vX_[404] + vX_[9330] * vX_[401] + vX_[3676] * vX_[453] + vX_[650] * vX_[455] +
+ (vX_[3696] * vX_[412] + vX_[3665] * vX_[407] + vX_[496] * vX_[408] + (0 - vX_[3686]) * 0.414812462825713 +
+ (0 - (vX_[656] * vX_[397] + vX_[3557] * vX_[395]) + vX_[1679] + vX_[496] * vX_[403]) * 0.881 +
+ (0 - vX_[1697]) * 0.00185880198235362 +
+ (0 -
+ (vX_[1682] * vX_[395] + vX_[9330] * vX_[398] + (vX_[9330] * vX_[397] + vX_[721] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[3696] * 0.0004405 + vX_[496] * -0.2209548) *
+ -0.35 +
+ vX_[3661] * vX_[1145] + vX_[3644] * vX_[916] + vX_[3329] * vX_[43] + vX_[3515] * vX_[15] +
+ (vX_[1691] * vX_[1734] + vX_[3661] * vX_[1233]) * 0.35 + vX_[1941] * vX_[1942] + vX_[3289] * vX_[1709] +
+ vX_[1948] * vX_[1954] + vX_[1716] * vX_[1722] + vX_[1894] * vX_[1898] + vX_[1735] * vX_[1738] +
+ vX_[3005] * vX_[1703] + vX_[1748] * vX_[421] + vX_[1956] * vX_[1962] + vX_[1725] * vX_[1731] +
+ vX_[3643] * vX_[1903] + vX_[3333] * vX_[1736] + vX_[3264] * vX_[1916] + vX_[9086] * vX_[394] +
+ vX_[996] * vX_[1759] + vX_[3268] * vX_[1909] + vX_[9118] * vX_[1746] + vX_[3302] * vX_[1806] +
+ vX_[3109] * vX_[1825] + vX_[723] * vX_[1801] + vX_[1715] * vX_[1844] + vX_[1737] * vX_[1832] +
+ vX_[3238] * vX_[1836] + vX_[3178] * vX_[1798] + vX_[3182] * vX_[1784] + vX_[3331] * vX_[1792] +
+ vX_[3338] * vX_[1817] + vX_[1413] * vX_[1820] + vX_[3291] * vX_[1880] + vX_[3092] * vX_[1825] +
+ vX_[8860] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[1700] * vX_[1701] + vX_[1943] * vX_[1944] + vX_[1890] * vX_[1891] + vX_[1948] * vX_[1951] +
+ vX_[1716] * vX_[1719] + vX_[1894] * vX_[1896] + vX_[1684] * vX_[1736] + vX_[1913] * vX_[1914] +
+ vX_[1889] * vX_[394] + vX_[1956] * vX_[1959] + vX_[1725] * vX_[1728] + vX_[1900] * vX_[1902] +
+ vX_[1740] * vX_[1741] + vX_[1915] * vX_[1703] + vX_[1750] * vX_[1751] + vX_[1917] * vX_[1757] +
+ vX_[1905] * vX_[1907] + vX_[1964] * vX_[1745] + vX_[3151] * vX_[1804] + vX_[3237] * vX_[1823] +
+ vX_[1670] * vX_[1800] + vX_[1715] * vX_[1842] + vX_[1737] * vX_[1833] + vX_[3238] * vX_[1838] +
+ vX_[3178] * vX_[1796] + vX_[3182] * vX_[1786] + vX_[3645] * vX_[1790] + vX_[1669] * vX_[1816] +
+ vX_[3340] * vX_[1819] + vX_[2086] * vX_[1878] + vX_[3091] * vX_[1868] + vX_[1965] * vX_[1873]) *
+ vX_[1694];
+ vX_[2932] = vX_[8921] + vX_[950] * vX_[421] + vX_[2932] * vX_[435] + vX_[2370] * vX_[1904];
+ vX_[8985] = vX_[8921] + vX_[2132] * vX_[394] + vX_[8985] * vX_[440] + vX_[2371] * vX_[1963];
+ vX_[8921] = vX_[2932] - vX_[8985];
+ vX_[1932] = vX_[950] * vX_[394] + vX_[2132] * vX_[421] + vX_[8763] * vX_[440] + vX_[1932] * vX_[435] +
+ vX_[2370] * vX_[1963] + vX_[2371] * vX_[1904];
+ vX_[8763] = vX_[8921] * vX_[395] + vX_[1932] * vX_[398];
+ vX_[2132] = vX_[8921] * vX_[397] + vX_[1932] * vX_[395];
+ vX_[2932] = 0 - vX_[2932];
+ vX_[950] = 0 - vX_[1932];
+ vX_[936] = vX_[8984] * vX_[421] + vX_[2130] * vX_[433] + vX_[936] * vX_[435] + vX_[2370] * vX_[2078] +
+ vX_[2367] * vX_[1904];
+ vX_[1682] = 0 - vX_[936];
+ vX_[2360] = vX_[8984] * vX_[394] + vX_[2130] * vX_[421] + vX_[2360] * vX_[435] + vX_[2370] * vX_[4138] +
+ vX_[2377] * vX_[1904];
+ vX_[2130] = 0 - vX_[2360];
+ vX_[8984] =
+ (vX_[2932] * vX_[428] + vX_[950] * vX_[416] + vX_[1682] * vX_[424] + vX_[2130] * vX_[406]) * 1 / vX_[418];
+ vX_[2932] = vX_[2373] * vX_[1947] + vX_[2932] * vX_[429] + vX_[8984];
+ vX_[2365] = vX_[1257] * vX_[421] + vX_[832] * vX_[433] + vX_[2365] * vX_[440] + vX_[2371] * vX_[2078] +
+ vX_[2367] * vX_[1963];
+ vX_[8985] = 0 - vX_[8985];
+ vX_[3696] = 0 - vX_[2365];
+ vX_[2361] = vX_[1257] * vX_[394] + vX_[832] * vX_[421] + vX_[2361] * vX_[440] + vX_[2371] * vX_[4138] +
+ vX_[2377] * vX_[1963];
+ vX_[832] = 0 - vX_[2361];
+ vX_[1257] = (vX_[8985] * vX_[416] + vX_[3696] * vX_[424] + vX_[832] * vX_[406]) * 1 / vX_[418];
+ vX_[8985] = vX_[2374] * vX_[1947] + vX_[950] * vX_[429] + vX_[8985] * vX_[419] + vX_[1257];
+ vX_[1573] = vX_[946] + vX_[2046] * vX_[435] + vX_[1573] * vX_[440] * 2. + vX_[2366] * vX_[4138] - vX_[8985];
+ vX_[946] = vX_[1971] + vX_[2367] * vX_[2078];
+ vX_[2363] = vX_[2363] + vX_[2377] * vX_[4138];
+ vX_[950] = vX_[946] - vX_[2363];
+ vX_[3557] = 0 - vX_[946];
+ vX_[2046] = vX_[2046] + vX_[2367] * vX_[4138] + vX_[2377] * vX_[2078];
+ vX_[1697] = 0 - vX_[2046];
+ vX_[3442] = (vX_[3557] * vX_[424] + vX_[1697] * vX_[406]) * 1 / vX_[418];
+ vX_[3557] = vX_[2376] * vX_[1947] + vX_[1682] * vX_[429] + vX_[3696] * vX_[419] + vX_[3557] * vX_[463] + vX_[3442];
+ vX_[3696] = 0 - vX_[2363];
+ vX_[1682] = vX_[3696] * vX_[406] * 1 / vX_[418];
+ vX_[3696] = vX_[2378] * vX_[1947] + vX_[2130] * vX_[429] + vX_[832] * vX_[419] + vX_[1697] * vX_[463] +
+ vX_[3696] * vX_[459] + vX_[1682];
+ vX_[1697] = 0 - vX_[3696];
+ vX_[832] = vX_[950] * vX_[395] + vX_[2046] * vX_[398];
+ vX_[2130] = vX_[950] * vX_[397] + vX_[2046] * vX_[395];
+ vX_[3686] = vX_[2363] + vX_[832] * vX_[395];
+ vX_[3665] = vX_[2363] + vX_[2130] * vX_[397];
+ vX_[1682] = vX_[946] + vX_[2363] + 0 - vX_[2373] * vX_[3731] - vX_[2374] * vX_[1120] - vX_[2375] * vX_[1747] +
+ vX_[2375] * vX_[1947] - vX_[2376] * vX_[1899] - vX_[2378] * vX_[1704] - vX_[8984] * vX_[429] -
+ vX_[1257] * vX_[419] - vX_[3442] * vX_[463] - vX_[1682] * vX_[459] - vX_[3686] - vX_[3665];
+ vX_[3442] = 0 - vX_[3665];
+ vX_[2363] = vX_[2932] * vX_[395] + vX_[8985] * vX_[398];
+ vX_[946] = 0 - vX_[1682];
+ vX_[1257] = vX_[2363] + vX_[946] * vX_[403];
+ vX_[8984] = vX_[2932] * vX_[397] + vX_[8985] * vX_[395];
+ vX_[2378] = vX_[8984] + vX_[1682] * vX_[400];
+ vX_[2935] = 0 - (vX_[1193] + vX_[2935] * vX_[440] + vX_[1971] * vX_[435] * 2. + vX_[2366] * vX_[2078]) + vX_[2932];
+ vX_[1193] = vX_[832] * vX_[397] + vX_[2130] * vX_[395];
+ vX_[1971] = 0 - vX_[3696];
+ jac[307] =
+ (vX_[2370] * vX_[4110] + vX_[2367] * vX_[47] + vX_[8921] * vX_[445] + vX_[8763] * 0.00185880198235362 +
+ vX_[2132] * -7.4114911576828e-06 + vX_[2932] * vX_[414] + vX_[2360] * vX_[399] + vX_[936] * vX_[423] +
+ (vX_[2365] * vX_[398] + vX_[936] * vX_[395]) * 8.81e-05 + vX_[1573] * vX_[409] + vX_[950] * vX_[456] +
+ vX_[3557] * vX_[405] + vX_[1697] * vX_[401] + vX_[832] * vX_[455] + vX_[2130] * vX_[454] +
+ vX_[8907] * vX_[1145] + vX_[9048] * vX_[43] - (vX_[2371] * vX_[1734] + vX_[1974] * vX_[916]) +
+ (vX_[2372] * vX_[4110] + vX_[1682] * vX_[411] + vX_[3442] * vX_[412] + vX_[1257] * 0.00185880198235362 +
+ vX_[2378] * 0.880992588508842 +
+ (0 - (vX_[1573] * vX_[395] + vX_[2935] * vX_[398] + vX_[8984] + vX_[1193] * vX_[403] +
+ vX_[3442] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[1697] * vX_[397] + vX_[3557] * vX_[395]) +
+ (vX_[3557] * vX_[395] + vX_[3696] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[1193]) * -0.1104774 + (0 - vX_[3665]) * 0.000881 + vX_[8907] * vX_[1233]) *
+ 0.35 -
+ (vX_[2377] * vX_[1955] + vX_[1932] * vX_[446] + vX_[8985] * vX_[410] + vX_[2365] * vX_[422] +
+ vX_[2361] * vX_[396] + (vX_[2360] * vX_[397] + vX_[2361] * vX_[395]) * -8.81e-05 +
+ vX_[2935] * vX_[413] + vX_[3696] * vX_[402] + vX_[2046] * vX_[457] + vX_[3557] * vX_[404] +
+ vX_[8802] * vX_[15])) *
+ vX_[3657] -
+ (vX_[2370] * vX_[1734] + vX_[2371] * vX_[4110] + vX_[2367] * vX_[1955] + vX_[2377] * vX_[47] +
+ vX_[8921] * vX_[446] + vX_[1932] * vX_[445] + vX_[8763] * -0.466187537174287 +
+ vX_[2132] * 0.00185880198235362 + vX_[2932] * vX_[410] + vX_[8985] * vX_[414] + vX_[2365] * vX_[423] +
+ vX_[2360] * vX_[396] + vX_[936] * vX_[422] + vX_[2361] * vX_[399] +
+ (vX_[2365] * vX_[395] + vX_[936] * vX_[397]) * -8.81e-05 +
+ (vX_[2360] * vX_[395] + vX_[2361] * vX_[398]) * 8.81e-05 + vX_[1573] * vX_[413] + vX_[2935] * vX_[409] +
+ vX_[950] * vX_[457] + vX_[3557] * vX_[402] + vX_[3696] * vX_[405] + vX_[2046] * vX_[456] +
+ vX_[1971] * vX_[404] + vX_[3557] * vX_[401] + vX_[832] * vX_[453] + vX_[2130] * vX_[455] +
+ (vX_[1193] * vX_[412] + vX_[946] * vX_[407] + vX_[3686] * vX_[408] + (0 - vX_[1257]) * 0.414812462825713 +
+ (0 - (vX_[1573] * vX_[397] + vX_[2935] * vX_[395]) + vX_[2363] + vX_[3686] * vX_[403]) * 0.881 +
+ (0 - vX_[2378]) * 0.00185880198235362 +
+ (0 - (vX_[1971] * vX_[395] + vX_[3557] * vX_[398] +
+ (vX_[3557] * vX_[397] + vX_[3696] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[1193] * 0.0004405 + vX_[3686] * -0.2209548) *
+ -0.35 +
+ vX_[1974] * vX_[1145] + vX_[8907] * vX_[916] + vX_[8802] * vX_[43] + vX_[9048] * vX_[15] +
+ (vX_[2372] * vX_[1734] + vX_[1974] * vX_[1233]) * 0.35 + vX_[2414] * vX_[1942] + vX_[8551] * vX_[1709] +
+ vX_[2417] * vX_[1954] + vX_[2386] * vX_[1722] + vX_[2402] * vX_[1898] + vX_[2390] * vX_[1738] +
+ vX_[8732] * vX_[1703] + vX_[2393] * vX_[421] + vX_[2418] * vX_[1962] + vX_[2388] * vX_[1731] +
+ vX_[909] * vX_[1903] + vX_[8806] * vX_[1736] + vX_[8742] * vX_[1916] + vX_[2129] * vX_[394] +
+ vX_[1712] * vX_[1759] + vX_[8478] * vX_[1909] + vX_[3735] * vX_[1746] + vX_[8775] * vX_[1806] +
+ vX_[8566] * vX_[1825] + vX_[3693] * vX_[1801] + vX_[2385] * vX_[1844] + vX_[1945] * vX_[1832] +
+ vX_[8728] * vX_[1836] + vX_[8656] * vX_[1798] + vX_[8639] * vX_[1784] + vX_[8804] * vX_[1792] +
+ vX_[8922] * vX_[1817] + vX_[3019] * vX_[1820] + vX_[8764] * vX_[1880] + vX_[8582] * vX_[1825] +
+ vX_[3280] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[2380] * vX_[1701] + vX_[2415] * vX_[1944] + vX_[2400] * vX_[1891] + vX_[2417] * vX_[1951] +
+ vX_[2386] * vX_[1719] + vX_[2402] * vX_[1896] + vX_[2368] * vX_[1736] + vX_[2406] * vX_[1914] +
+ vX_[2399] * vX_[394] + vX_[2418] * vX_[1959] + vX_[2388] * vX_[1728] + vX_[2403] * vX_[1902] +
+ vX_[2391] * vX_[1741] + vX_[2407] * vX_[1703] + vX_[2394] * vX_[1751] + vX_[2408] * vX_[1757] +
+ vX_[2404] * vX_[1907] + vX_[2419] * vX_[1745] + vX_[8624] * vX_[1804] + vX_[8724] * vX_[1823] +
+ vX_[2358] * vX_[1800] + vX_[2385] * vX_[1842] + vX_[1945] * vX_[1833] + vX_[8728] * vX_[1838] +
+ vX_[8656] * vX_[1796] + vX_[8639] * vX_[1786] + vX_[9128] * vX_[1790] + vX_[2357] * vX_[1816] +
+ vX_[8920] * vX_[1819] + vX_[2491] * vX_[1878] + vX_[8578] * vX_[1868] + vX_[2420] * vX_[1873]) *
+ vX_[1694];
+ vX_[8377] = vX_[7944] + vX_[8303] * vX_[421] + vX_[8377] * vX_[435] + vX_[2770] * vX_[1904];
+ vX_[8063] = vX_[7944] + vX_[2532] * vX_[394] + vX_[8063] * vX_[440] + vX_[2771] * vX_[1963];
+ vX_[7944] = vX_[8377] - vX_[8063];
+ vX_[8308] = vX_[8303] * vX_[394] + vX_[2532] * vX_[421] + vX_[7897] * vX_[440] + vX_[8308] * vX_[435] +
+ vX_[2770] * vX_[1963] + vX_[2771] * vX_[1904];
+ vX_[7897] = vX_[7944] * vX_[395] + vX_[8308] * vX_[398];
+ vX_[2532] = vX_[7944] * vX_[397] + vX_[8308] * vX_[395];
+ vX_[8377] = 0 - vX_[8377];
+ vX_[8303] = 0 - vX_[8308];
+ vX_[8317] = vX_[8062] * vX_[421] + vX_[2530] * vX_[433] + vX_[8317] * vX_[435] + vX_[2770] * vX_[2078] +
+ vX_[2767] * vX_[1904];
+ vX_[1971] = 0 - vX_[8317];
+ vX_[2760] = vX_[8062] * vX_[394] + vX_[2530] * vX_[421] + vX_[2760] * vX_[435] + vX_[2770] * vX_[4138] +
+ vX_[2777] * vX_[1904];
+ vX_[2530] = 0 - vX_[2760];
+ vX_[8062] =
+ (vX_[8377] * vX_[428] + vX_[8303] * vX_[416] + vX_[1971] * vX_[424] + vX_[2530] * vX_[406]) * 1 / vX_[418];
+ vX_[8377] = vX_[2773] * vX_[1947] + vX_[8377] * vX_[429] + vX_[8062];
+ vX_[2765] = vX_[8334] * vX_[421] + vX_[8306] * vX_[433] + vX_[2765] * vX_[440] + vX_[2771] * vX_[2078] +
+ vX_[2767] * vX_[1963];
+ vX_[8063] = 0 - vX_[8063];
+ vX_[1193] = 0 - vX_[2765];
+ vX_[2761] = vX_[8334] * vX_[394] + vX_[8306] * vX_[421] + vX_[2761] * vX_[440] + vX_[2771] * vX_[4138] +
+ vX_[2777] * vX_[1963];
+ vX_[8306] = 0 - vX_[2761];
+ vX_[8334] = (vX_[8063] * vX_[416] + vX_[1193] * vX_[424] + vX_[8306] * vX_[406]) * 1 / vX_[418];
+ vX_[8063] = vX_[2774] * vX_[1947] + vX_[8303] * vX_[429] + vX_[8063] * vX_[419] + vX_[8334];
+ vX_[8345] = vX_[8313] + vX_[2927] * vX_[435] + vX_[8345] * vX_[440] * 2. + vX_[2766] * vX_[4138] - vX_[8063];
+ vX_[8313] = vX_[8304] + vX_[2767] * vX_[2078];
+ vX_[2763] = vX_[2763] + vX_[2777] * vX_[4138];
+ vX_[8303] = vX_[8313] - vX_[2763];
+ vX_[2935] = 0 - vX_[8313];
+ vX_[2927] = vX_[2927] + vX_[2767] * vX_[4138] + vX_[2777] * vX_[2078];
+ vX_[2378] = 0 - vX_[2927];
+ vX_[8984] = (vX_[2935] * vX_[424] + vX_[2378] * vX_[406]) * 1 / vX_[418];
+ vX_[2935] = vX_[2776] * vX_[1947] + vX_[1971] * vX_[429] + vX_[1193] * vX_[419] + vX_[2935] * vX_[463] + vX_[8984];
+ vX_[1193] = 0 - vX_[2763];
+ vX_[1971] = vX_[1193] * vX_[406] * 1 / vX_[418];
+ vX_[1193] = vX_[2778] * vX_[1947] + vX_[2530] * vX_[429] + vX_[8306] * vX_[419] + vX_[2378] * vX_[463] +
+ vX_[1193] * vX_[459] + vX_[1971];
+ vX_[2378] = 0 - vX_[1193];
+ vX_[8306] = vX_[8303] * vX_[395] + vX_[2927] * vX_[398];
+ vX_[2530] = vX_[8303] * vX_[397] + vX_[2927] * vX_[395];
+ vX_[1257] = vX_[2763] + vX_[8306] * vX_[395];
+ vX_[946] = vX_[2763] + vX_[2530] * vX_[397];
+ vX_[1971] = vX_[8313] + vX_[2763] + 0 - vX_[2773] * vX_[3731] - vX_[2774] * vX_[1120] - vX_[2775] * vX_[1747] +
+ vX_[2775] * vX_[1947] - vX_[2776] * vX_[1899] - vX_[2778] * vX_[1704] - vX_[8062] * vX_[429] -
+ vX_[8334] * vX_[419] - vX_[8984] * vX_[463] - vX_[1971] * vX_[459] - vX_[1257] - vX_[946];
+ vX_[8984] = 0 - vX_[946];
+ vX_[2763] = vX_[8377] * vX_[395] + vX_[8063] * vX_[398];
+ vX_[8313] = 0 - vX_[1971];
+ vX_[8334] = vX_[2763] + vX_[8313] * vX_[403];
+ vX_[8062] = vX_[8377] * vX_[397] + vX_[8063] * vX_[395];
+ vX_[2778] = vX_[8062] + vX_[1971] * vX_[400];
+ vX_[8369] = 0 - (vX_[8331] + vX_[8369] * vX_[440] + vX_[8304] * vX_[435] * 2. + vX_[2766] * vX_[2078]) + vX_[8377];
+ vX_[8331] = vX_[8306] * vX_[397] + vX_[2530] * vX_[395];
+ vX_[8304] = 0 - vX_[1193];
+ jac[308] =
+ (vX_[2770] * vX_[4110] + vX_[2767] * vX_[47] + vX_[7944] * vX_[445] + vX_[7897] * 0.00185880198235362 +
+ vX_[2532] * -7.4114911576828e-06 + vX_[8377] * vX_[414] + vX_[2760] * vX_[399] + vX_[8317] * vX_[423] +
+ (vX_[2765] * vX_[398] + vX_[8317] * vX_[395]) * 8.81e-05 + vX_[8345] * vX_[409] + vX_[8303] * vX_[456] +
+ vX_[2935] * vX_[405] + vX_[2378] * vX_[401] + vX_[8306] * vX_[455] + vX_[2530] * vX_[454] +
+ vX_[8283] * vX_[1145] + vX_[8135] * vX_[43] - (vX_[2771] * vX_[1734] + vX_[8281] * vX_[916]) +
+ (vX_[2772] * vX_[4110] + vX_[1971] * vX_[411] + vX_[8984] * vX_[412] + vX_[8334] * 0.00185880198235362 +
+ vX_[2778] * 0.880992588508842 +
+ (0 - (vX_[8345] * vX_[395] + vX_[8369] * vX_[398] + vX_[8062] + vX_[8331] * vX_[403] +
+ vX_[8984] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[2378] * vX_[397] + vX_[2935] * vX_[395]) +
+ (vX_[2935] * vX_[395] + vX_[1193] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[8331]) * -0.1104774 + (0 - vX_[946]) * 0.000881 + vX_[8283] * vX_[1233]) *
+ 0.35 -
+ (vX_[2777] * vX_[1955] + vX_[8308] * vX_[446] + vX_[8063] * vX_[410] + vX_[2765] * vX_[422] +
+ vX_[2761] * vX_[396] + (vX_[2760] * vX_[397] + vX_[2761] * vX_[395]) * -8.81e-05 +
+ vX_[8369] * vX_[413] + vX_[1193] * vX_[402] + vX_[2927] * vX_[457] + vX_[2935] * vX_[404] +
+ vX_[7956] * vX_[15])) *
+ vX_[3657] -
+ (vX_[2770] * vX_[1734] + vX_[2771] * vX_[4110] + vX_[2767] * vX_[1955] + vX_[2777] * vX_[47] +
+ vX_[7944] * vX_[446] + vX_[8308] * vX_[445] + vX_[7897] * -0.466187537174287 +
+ vX_[2532] * 0.00185880198235362 + vX_[8377] * vX_[410] + vX_[8063] * vX_[414] + vX_[2765] * vX_[423] +
+ vX_[2760] * vX_[396] + vX_[8317] * vX_[422] + vX_[2761] * vX_[399] +
+ (vX_[2765] * vX_[395] + vX_[8317] * vX_[397]) * -8.81e-05 +
+ (vX_[2760] * vX_[395] + vX_[2761] * vX_[398]) * 8.81e-05 + vX_[8345] * vX_[413] + vX_[8369] * vX_[409] +
+ vX_[8303] * vX_[457] + vX_[2935] * vX_[402] + vX_[1193] * vX_[405] + vX_[2927] * vX_[456] +
+ vX_[8304] * vX_[404] + vX_[2935] * vX_[401] + vX_[8306] * vX_[453] + vX_[2530] * vX_[455] +
+ (vX_[8331] * vX_[412] + vX_[8313] * vX_[407] + vX_[1257] * vX_[408] + (0 - vX_[8334]) * 0.414812462825713 +
+ (0 - (vX_[8345] * vX_[397] + vX_[8369] * vX_[395]) + vX_[2763] + vX_[1257] * vX_[403]) * 0.881 +
+ (0 - vX_[2778]) * 0.00185880198235362 +
+ (0 - (vX_[8304] * vX_[395] + vX_[2935] * vX_[398] +
+ (vX_[2935] * vX_[397] + vX_[1193] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[8331] * 0.0004405 + vX_[1257] * -0.2209548) *
+ -0.35 +
+ vX_[8281] * vX_[1145] + vX_[8283] * vX_[916] + vX_[7956] * vX_[43] + vX_[8135] * vX_[15] +
+ (vX_[2772] * vX_[1734] + vX_[8281] * vX_[1233]) * 0.35 + vX_[2814] * vX_[1942] + vX_[7895] * vX_[1709] +
+ vX_[2817] * vX_[1954] + vX_[2786] * vX_[1722] + vX_[2802] * vX_[1898] + vX_[2790] * vX_[1738] +
+ vX_[7862] * vX_[1703] + vX_[2793] * vX_[421] + vX_[2818] * vX_[1962] + vX_[2788] * vX_[1731] +
+ vX_[8300] * vX_[1903] + vX_[7849] * vX_[1736] + vX_[7881] * vX_[1916] + vX_[2529] * vX_[394] +
+ vX_[2384] * vX_[1759] + vX_[7864] * vX_[1909] + vX_[844] * vX_[1746] + vX_[7902] * vX_[1806] +
+ vX_[7645] * vX_[1825] + vX_[1251] * vX_[1801] + vX_[2785] * vX_[1844] + vX_[2416] * vX_[1832] +
+ vX_[7807] * vX_[1836] + vX_[7735] * vX_[1798] + vX_[7718] * vX_[1784] + vX_[7933] * vX_[1792] +
+ vX_[7958] * vX_[1817] + vX_[8379] * vX_[1820] + vX_[7703] * vX_[1880] + vX_[7661] * vX_[1825] +
+ vX_[8758] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[2780] * vX_[1701] + vX_[2815] * vX_[1944] + vX_[2800] * vX_[1891] + vX_[2817] * vX_[1951] +
+ vX_[2786] * vX_[1719] + vX_[2802] * vX_[1896] + vX_[2768] * vX_[1736] + vX_[2806] * vX_[1914] +
+ vX_[2799] * vX_[394] + vX_[2818] * vX_[1959] + vX_[2788] * vX_[1728] + vX_[2803] * vX_[1902] +
+ vX_[2791] * vX_[1741] + vX_[2807] * vX_[1703] + vX_[2794] * vX_[1751] + vX_[2808] * vX_[1757] +
+ vX_[2804] * vX_[1907] + vX_[2819] * vX_[1745] + vX_[7916] * vX_[1804] + vX_[7803] * vX_[1823] +
+ vX_[2758] * vX_[1800] + vX_[2785] * vX_[1842] + vX_[2416] * vX_[1833] + vX_[7807] * vX_[1838] +
+ vX_[7735] * vX_[1796] + vX_[7718] * vX_[1786] + vX_[8295] * vX_[1790] + vX_[2757] * vX_[1816] +
+ vX_[7961] * vX_[1819] + vX_[2891] * vX_[1878] + vX_[7657] * vX_[1868] + vX_[2820] * vX_[1873]) *
+ vX_[1694];
+ vX_[7521] = vX_[7075] + vX_[7453] * vX_[421] + vX_[7521] * vX_[435] + vX_[3197] * vX_[1904];
+ vX_[7098] = vX_[7075] + vX_[2959] * vX_[394] + vX_[7098] * vX_[440] + vX_[3198] * vX_[1963];
+ vX_[7075] = vX_[7521] - vX_[7098];
+ vX_[7437] = vX_[7453] * vX_[394] + vX_[2959] * vX_[421] + vX_[7030] * vX_[440] + vX_[7437] * vX_[435] +
+ vX_[3197] * vX_[1963] + vX_[3198] * vX_[1904];
+ vX_[7030] = vX_[7075] * vX_[395] + vX_[7437] * vX_[398];
+ vX_[2959] = vX_[7075] * vX_[397] + vX_[7437] * vX_[395];
+ vX_[7521] = 0 - vX_[7521];
+ vX_[7453] = 0 - vX_[7437];
+ vX_[7466] = vX_[7100] * vX_[421] + vX_[2957] * vX_[433] + vX_[7466] * vX_[435] + vX_[3197] * vX_[2078] +
+ vX_[3194] * vX_[1904];
+ vX_[8304] = 0 - vX_[7466];
+ vX_[3187] = vX_[7100] * vX_[394] + vX_[2957] * vX_[421] + vX_[3187] * vX_[435] + vX_[3197] * vX_[4138] +
+ vX_[3204] * vX_[1904];
+ vX_[2957] = 0 - vX_[3187];
+ vX_[7100] =
+ (vX_[7521] * vX_[428] + vX_[7453] * vX_[416] + vX_[8304] * vX_[424] + vX_[2957] * vX_[406]) * 1 / vX_[418];
+ vX_[7521] = vX_[3200] * vX_[1947] + vX_[7521] * vX_[429] + vX_[7100];
+ vX_[3192] = vX_[7471] * vX_[421] + vX_[7203] * vX_[433] + vX_[3192] * vX_[440] + vX_[3198] * vX_[2078] +
+ vX_[3194] * vX_[1963];
+ vX_[7098] = 0 - vX_[7098];
+ vX_[8331] = 0 - vX_[3192];
+ vX_[3188] = vX_[7471] * vX_[394] + vX_[7203] * vX_[421] + vX_[3188] * vX_[440] + vX_[3198] * vX_[4138] +
+ vX_[3204] * vX_[1963];
+ vX_[7203] = 0 - vX_[3188];
+ vX_[7471] = (vX_[7098] * vX_[416] + vX_[8331] * vX_[424] + vX_[7203] * vX_[406]) * 1 / vX_[418];
+ vX_[7098] = vX_[3201] * vX_[1947] + vX_[7453] * vX_[429] + vX_[7098] * vX_[419] + vX_[7471];
+ vX_[7485] = vX_[7435] + vX_[2369] * vX_[435] + vX_[7485] * vX_[440] * 2. + vX_[3193] * vX_[4138] - vX_[7098];
+ vX_[7435] = vX_[7376] + vX_[3194] * vX_[2078];
+ vX_[3190] = vX_[3190] + vX_[3204] * vX_[4138];
+ vX_[7453] = vX_[7435] - vX_[3190];
+ vX_[8369] = 0 - vX_[7435];
+ vX_[2369] = vX_[2369] + vX_[3194] * vX_[4138] + vX_[3204] * vX_[2078];
+ vX_[2778] = 0 - vX_[2369];
+ vX_[8062] = (vX_[8369] * vX_[424] + vX_[2778] * vX_[406]) * 1 / vX_[418];
+ vX_[8369] = vX_[3203] * vX_[1947] + vX_[8304] * vX_[429] + vX_[8331] * vX_[419] + vX_[8369] * vX_[463] + vX_[8062];
+ vX_[8331] = 0 - vX_[3190];
+ vX_[8304] = vX_[8331] * vX_[406] * 1 / vX_[418];
+ vX_[8331] = vX_[3205] * vX_[1947] + vX_[2957] * vX_[429] + vX_[7203] * vX_[419] + vX_[2778] * vX_[463] +
+ vX_[8331] * vX_[459] + vX_[8304];
+ vX_[2778] = 0 - vX_[8331];
+ vX_[7203] = vX_[7453] * vX_[395] + vX_[2369] * vX_[398];
+ vX_[2957] = vX_[7453] * vX_[397] + vX_[2369] * vX_[395];
+ vX_[8334] = vX_[3190] + vX_[7203] * vX_[395];
+ vX_[8313] = vX_[3190] + vX_[2957] * vX_[397];
+ vX_[8304] = vX_[7435] + vX_[3190] + 0 - vX_[3200] * vX_[3731] - vX_[3201] * vX_[1120] - vX_[3202] * vX_[1747] +
+ vX_[3202] * vX_[1947] - vX_[3203] * vX_[1899] - vX_[3205] * vX_[1704] - vX_[7100] * vX_[429] -
+ vX_[7471] * vX_[419] - vX_[8062] * vX_[463] - vX_[8304] * vX_[459] - vX_[8334] - vX_[8313];
+ vX_[8062] = 0 - vX_[8313];
+ vX_[3190] = vX_[7521] * vX_[395] + vX_[7098] * vX_[398];
+ vX_[7435] = 0 - vX_[8304];
+ vX_[7471] = vX_[3190] + vX_[7435] * vX_[403];
+ vX_[7100] = vX_[7521] * vX_[397] + vX_[7098] * vX_[395];
+ vX_[3205] = vX_[7100] + vX_[8304] * vX_[400];
+ vX_[7422] = 0 - (vX_[7470] + vX_[7422] * vX_[440] + vX_[7376] * vX_[435] * 2. + vX_[3193] * vX_[2078]) + vX_[7521];
+ vX_[7470] = vX_[7203] * vX_[397] + vX_[2957] * vX_[395];
+ vX_[7376] = 0 - vX_[8331];
+ jac[309] =
+ (vX_[3197] * vX_[4110] + vX_[3194] * vX_[47] + vX_[7075] * vX_[445] + vX_[7030] * 0.00185880198235362 +
+ vX_[2959] * -7.4114911576828e-06 + vX_[7521] * vX_[414] + vX_[3187] * vX_[399] + vX_[7466] * vX_[423] +
+ (vX_[3192] * vX_[398] + vX_[7466] * vX_[395]) * 8.81e-05 + vX_[7485] * vX_[409] + vX_[7453] * vX_[456] +
+ vX_[8369] * vX_[405] + vX_[2778] * vX_[401] + vX_[7203] * vX_[455] + vX_[2957] * vX_[454] +
+ vX_[7363] * vX_[1145] + vX_[7234] * vX_[43] - (vX_[3198] * vX_[1734] + vX_[7380] * vX_[916]) +
+ (vX_[3199] * vX_[4110] + vX_[8304] * vX_[411] + vX_[8062] * vX_[412] + vX_[7471] * 0.00185880198235362 +
+ vX_[3205] * 0.880992588508842 +
+ (0 - (vX_[7485] * vX_[395] + vX_[7422] * vX_[398] + vX_[7100] + vX_[7470] * vX_[403] +
+ vX_[8062] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[2778] * vX_[397] + vX_[8369] * vX_[395]) +
+ (vX_[8369] * vX_[395] + vX_[8331] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[7470]) * -0.1104774 + (0 - vX_[8313]) * 0.000881 + vX_[7363] * vX_[1233]) *
+ 0.35 -
+ (vX_[3204] * vX_[1955] + vX_[7437] * vX_[446] + vX_[7098] * vX_[410] + vX_[3192] * vX_[422] +
+ vX_[3188] * vX_[396] + (vX_[3187] * vX_[397] + vX_[3188] * vX_[395]) * -8.81e-05 +
+ vX_[7422] * vX_[413] + vX_[8331] * vX_[402] + vX_[2369] * vX_[457] + vX_[8369] * vX_[404] +
+ vX_[7082] * vX_[15])) *
+ vX_[3657] -
+ (vX_[3197] * vX_[1734] + vX_[3198] * vX_[4110] + vX_[3194] * vX_[1955] + vX_[3204] * vX_[47] +
+ vX_[7075] * vX_[446] + vX_[7437] * vX_[445] + vX_[7030] * -0.466187537174287 +
+ vX_[2959] * 0.00185880198235362 + vX_[7521] * vX_[410] + vX_[7098] * vX_[414] + vX_[3192] * vX_[423] +
+ vX_[3187] * vX_[396] + vX_[7466] * vX_[422] + vX_[3188] * vX_[399] +
+ (vX_[3192] * vX_[395] + vX_[7466] * vX_[397]) * -8.81e-05 +
+ (vX_[3187] * vX_[395] + vX_[3188] * vX_[398]) * 8.81e-05 + vX_[7485] * vX_[413] + vX_[7422] * vX_[409] +
+ vX_[7453] * vX_[457] + vX_[8369] * vX_[402] + vX_[8331] * vX_[405] + vX_[2369] * vX_[456] +
+ vX_[7376] * vX_[404] + vX_[8369] * vX_[401] + vX_[7203] * vX_[453] + vX_[2957] * vX_[455] +
+ (vX_[7470] * vX_[412] + vX_[7435] * vX_[407] + vX_[8334] * vX_[408] + (0 - vX_[7471]) * 0.414812462825713 +
+ (0 - (vX_[7485] * vX_[397] + vX_[7422] * vX_[395]) + vX_[3190] + vX_[8334] * vX_[403]) * 0.881 +
+ (0 - vX_[3205]) * 0.00185880198235362 +
+ (0 - (vX_[7376] * vX_[395] + vX_[8369] * vX_[398] +
+ (vX_[8369] * vX_[397] + vX_[8331] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[7470] * 0.0004405 + vX_[8334] * -0.2209548) *
+ -0.35 +
+ vX_[7380] * vX_[1145] + vX_[7363] * vX_[916] + vX_[7082] * vX_[43] + vX_[7234] * vX_[15] +
+ (vX_[3199] * vX_[1734] + vX_[7380] * vX_[1233]) * 0.35 + vX_[3241] * vX_[1942] + vX_[7031] * vX_[1709] +
+ vX_[3244] * vX_[1954] + vX_[3213] * vX_[1722] + vX_[3229] * vX_[1898] + vX_[3217] * vX_[1738] +
+ vX_[6953] * vX_[1703] + vX_[3220] * vX_[421] + vX_[3245] * vX_[1962] + vX_[3215] * vX_[1731] +
+ vX_[7362] * vX_[1903] + vX_[7069] * vX_[1736] + vX_[6935] * vX_[1916] + vX_[2956] * vX_[394] +
+ vX_[2784] * vX_[1759] + vX_[6936] * vX_[1909] + vX_[8049] * vX_[1746] + vX_[7033] * vX_[1806] +
+ vX_[6671] * vX_[1825] + vX_[8338] * vX_[1801] + vX_[3212] * vX_[1844] + vX_[2816] * vX_[1832] +
+ vX_[6808] * vX_[1836] + vX_[6789] * vX_[1798] + vX_[6790] * vX_[1784] + vX_[7064] * vX_[1792] +
+ vX_[7094] * vX_[1817] + vX_[7520] * vX_[1820] + vX_[7024] * vX_[1880] + vX_[6684] * vX_[1825] +
+ vX_[7887] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[3207] * vX_[1701] + vX_[3242] * vX_[1944] + vX_[3227] * vX_[1891] + vX_[3244] * vX_[1951] +
+ vX_[3213] * vX_[1719] + vX_[3229] * vX_[1896] + vX_[3195] * vX_[1736] + vX_[3233] * vX_[1914] +
+ vX_[3226] * vX_[394] + vX_[3245] * vX_[1959] + vX_[3215] * vX_[1728] + vX_[3230] * vX_[1902] +
+ vX_[3218] * vX_[1741] + vX_[3234] * vX_[1703] + vX_[3221] * vX_[1751] + vX_[3235] * vX_[1757] +
+ vX_[3231] * vX_[1907] + vX_[3246] * vX_[1745] + vX_[7052] * vX_[1804] + vX_[6864] * vX_[1823] +
+ vX_[3185] * vX_[1800] + vX_[3212] * vX_[1842] + vX_[2816] * vX_[1833] + vX_[6808] * vX_[1838] +
+ vX_[6789] * vX_[1796] + vX_[6790] * vX_[1786] + vX_[7364] * vX_[1790] + vX_[3184] * vX_[1816] +
+ vX_[7102] * vX_[1819] + vX_[3318] * vX_[1878] + vX_[6685] * vX_[1868] + vX_[3247] * vX_[1873]) *
+ vX_[1694];
+ vX_[6653] = vX_[6233] + vX_[6457] * vX_[421] + vX_[6653] * vX_[435] + vX_[3603] * vX_[1904];
+ vX_[6231] = vX_[6233] + vX_[3365] * vX_[394] + vX_[6231] * vX_[440] + vX_[3604] * vX_[1963];
+ vX_[6233] = vX_[6653] - vX_[6231];
+ vX_[6462] = vX_[6457] * vX_[394] + vX_[3365] * vX_[421] + vX_[6161] * vX_[440] + vX_[6462] * vX_[435] +
+ vX_[3603] * vX_[1963] + vX_[3604] * vX_[1904];
+ vX_[6161] = vX_[6233] * vX_[395] + vX_[6462] * vX_[398];
+ vX_[3365] = vX_[6233] * vX_[397] + vX_[6462] * vX_[395];
+ vX_[6653] = 0 - vX_[6653];
+ vX_[6457] = 0 - vX_[6462];
+ vX_[6530] = vX_[6227] * vX_[421] + vX_[3363] * vX_[433] + vX_[6530] * vX_[435] + vX_[3603] * vX_[2078] +
+ vX_[3600] * vX_[1904];
+ vX_[7376] = 0 - vX_[6530];
+ vX_[3593] = vX_[6227] * vX_[394] + vX_[3363] * vX_[421] + vX_[3593] * vX_[435] + vX_[3603] * vX_[4138] +
+ vX_[3610] * vX_[1904];
+ vX_[3363] = 0 - vX_[3593];
+ vX_[6227] =
+ (vX_[6653] * vX_[428] + vX_[6457] * vX_[416] + vX_[7376] * vX_[424] + vX_[3363] * vX_[406]) * 1 / vX_[418];
+ vX_[6653] = vX_[3606] * vX_[1947] + vX_[6653] * vX_[429] + vX_[6227];
+ vX_[3598] = vX_[6612] * vX_[421] + vX_[6535] * vX_[433] + vX_[3598] * vX_[440] + vX_[3604] * vX_[2078] +
+ vX_[3600] * vX_[1963];
+ vX_[6231] = 0 - vX_[6231];
+ vX_[7470] = 0 - vX_[3598];
+ vX_[3594] = vX_[6612] * vX_[394] + vX_[6535] * vX_[421] + vX_[3594] * vX_[440] + vX_[3604] * vX_[4138] +
+ vX_[3610] * vX_[1963];
+ vX_[6535] = 0 - vX_[3594];
+ vX_[6612] = (vX_[6231] * vX_[416] + vX_[7470] * vX_[424] + vX_[6535] * vX_[406]) * 1 / vX_[418];
+ vX_[6231] = vX_[3607] * vX_[1947] + vX_[6457] * vX_[429] + vX_[6231] * vX_[419] + vX_[6612];
+ vX_[6614] = vX_[6517] + vX_[7502] * vX_[435] + vX_[6614] * vX_[440] * 2. + vX_[3599] * vX_[4138] - vX_[6231];
+ vX_[6517] = vX_[6461] + vX_[3600] * vX_[2078];
+ vX_[3596] = vX_[3596] + vX_[3610] * vX_[4138];
+ vX_[6457] = vX_[6517] - vX_[3596];
+ vX_[7422] = 0 - vX_[6517];
+ vX_[7502] = vX_[7502] + vX_[3600] * vX_[4138] + vX_[3610] * vX_[2078];
+ vX_[3205] = 0 - vX_[7502];
+ vX_[7100] = (vX_[7422] * vX_[424] + vX_[3205] * vX_[406]) * 1 / vX_[418];
+ vX_[7422] = vX_[3609] * vX_[1947] + vX_[7376] * vX_[429] + vX_[7470] * vX_[419] + vX_[7422] * vX_[463] + vX_[7100];
+ vX_[7470] = 0 - vX_[3596];
+ vX_[7376] = vX_[7470] * vX_[406] * 1 / vX_[418];
+ vX_[7470] = vX_[3611] * vX_[1947] + vX_[3363] * vX_[429] + vX_[6535] * vX_[419] + vX_[3205] * vX_[463] +
+ vX_[7470] * vX_[459] + vX_[7376];
+ vX_[3205] = 0 - vX_[7470];
+ vX_[6535] = vX_[6457] * vX_[395] + vX_[7502] * vX_[398];
+ vX_[3363] = vX_[6457] * vX_[397] + vX_[7502] * vX_[395];
+ vX_[7471] = vX_[3596] + vX_[6535] * vX_[395];
+ vX_[7435] = vX_[3596] + vX_[3363] * vX_[397];
+ vX_[7376] = vX_[6517] + vX_[3596] + 0 - vX_[3606] * vX_[3731] - vX_[3607] * vX_[1120] - vX_[3608] * vX_[1747] +
+ vX_[3608] * vX_[1947] - vX_[3609] * vX_[1899] - vX_[3611] * vX_[1704] - vX_[6227] * vX_[429] -
+ vX_[6612] * vX_[419] - vX_[7100] * vX_[463] - vX_[7376] * vX_[459] - vX_[7471] - vX_[7435];
+ vX_[7100] = 0 - vX_[7435];
+ vX_[3596] = vX_[6653] * vX_[395] + vX_[6231] * vX_[398];
+ vX_[6517] = 0 - vX_[7376];
+ vX_[6612] = vX_[3596] + vX_[6517] * vX_[403];
+ vX_[6227] = vX_[6653] * vX_[397] + vX_[6231] * vX_[395];
+ vX_[3611] = vX_[6227] + vX_[7376] * vX_[400];
+ vX_[6663] = 0 - (vX_[6357] + vX_[6663] * vX_[440] + vX_[6461] * vX_[435] * 2. + vX_[3599] * vX_[2078]) + vX_[6653];
+ vX_[6357] = vX_[6535] * vX_[397] + vX_[3363] * vX_[395];
+ vX_[6461] = 0 - vX_[7470];
+ jac[310] =
+ (vX_[3603] * vX_[4110] + vX_[3600] * vX_[47] + vX_[6233] * vX_[445] + vX_[6161] * 0.00185880198235362 +
+ vX_[3365] * -7.4114911576828e-06 + vX_[6653] * vX_[414] + vX_[3593] * vX_[399] + vX_[6530] * vX_[423] +
+ (vX_[3598] * vX_[398] + vX_[6530] * vX_[395]) * 8.81e-05 + vX_[6614] * vX_[409] + vX_[6457] * vX_[456] +
+ vX_[7422] * vX_[405] + vX_[3205] * vX_[401] + vX_[6535] * vX_[455] + vX_[3363] * vX_[454] +
+ vX_[6370] * vX_[1145] + vX_[6250] * vX_[43] - (vX_[3604] * vX_[1734] + vX_[6384] * vX_[916]) +
+ (vX_[3605] * vX_[4110] + vX_[7376] * vX_[411] + vX_[7100] * vX_[412] + vX_[6612] * 0.00185880198235362 +
+ vX_[3611] * 0.880992588508842 +
+ (0 - (vX_[6614] * vX_[395] + vX_[6663] * vX_[398] + vX_[6227] + vX_[6357] * vX_[403] +
+ vX_[7100] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[3205] * vX_[397] + vX_[7422] * vX_[395]) +
+ (vX_[7422] * vX_[395] + vX_[7470] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[6357]) * -0.1104774 + (0 - vX_[7435]) * 0.000881 + vX_[6370] * vX_[1233]) *
+ 0.35 -
+ (vX_[3610] * vX_[1955] + vX_[6462] * vX_[446] + vX_[6231] * vX_[410] + vX_[3598] * vX_[422] +
+ vX_[3594] * vX_[396] + (vX_[3593] * vX_[397] + vX_[3594] * vX_[395]) * -8.81e-05 +
+ vX_[6663] * vX_[413] + vX_[7470] * vX_[402] + vX_[7502] * vX_[457] + vX_[7422] * vX_[404] +
+ vX_[6214] * vX_[15])) *
+ vX_[3657] -
+ (vX_[3603] * vX_[1734] + vX_[3604] * vX_[4110] + vX_[3600] * vX_[1955] + vX_[3610] * vX_[47] +
+ vX_[6233] * vX_[446] + vX_[6462] * vX_[445] + vX_[6161] * -0.466187537174287 +
+ vX_[3365] * 0.00185880198235362 + vX_[6653] * vX_[410] + vX_[6231] * vX_[414] + vX_[3598] * vX_[423] +
+ vX_[3593] * vX_[396] + vX_[6530] * vX_[422] + vX_[3594] * vX_[399] +
+ (vX_[3598] * vX_[395] + vX_[6530] * vX_[397]) * -8.81e-05 +
+ (vX_[3593] * vX_[395] + vX_[3594] * vX_[398]) * 8.81e-05 + vX_[6614] * vX_[413] + vX_[6663] * vX_[409] +
+ vX_[6457] * vX_[457] + vX_[7422] * vX_[402] + vX_[7470] * vX_[405] + vX_[7502] * vX_[456] +
+ vX_[6461] * vX_[404] + vX_[7422] * vX_[401] + vX_[6535] * vX_[453] + vX_[3363] * vX_[455] +
+ (vX_[6357] * vX_[412] + vX_[6517] * vX_[407] + vX_[7471] * vX_[408] + (0 - vX_[6612]) * 0.414812462825713 +
+ (0 - (vX_[6614] * vX_[397] + vX_[6663] * vX_[395]) + vX_[3596] + vX_[7471] * vX_[403]) * 0.881 +
+ (0 - vX_[3611]) * 0.00185880198235362 +
+ (0 - (vX_[6461] * vX_[395] + vX_[7422] * vX_[398] +
+ (vX_[7422] * vX_[397] + vX_[7470] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[6357] * 0.0004405 + vX_[7471] * -0.2209548) *
+ -0.35 +
+ vX_[6384] * vX_[1145] + vX_[6370] * vX_[916] + vX_[6214] * vX_[43] + vX_[6250] * vX_[15] +
+ (vX_[3605] * vX_[1734] + vX_[6384] * vX_[1233]) * 0.35 + vX_[3647] * vX_[1942] + vX_[6087] * vX_[1709] +
+ vX_[3650] * vX_[1954] + vX_[3619] * vX_[1722] + vX_[3635] * vX_[1898] + vX_[3623] * vX_[1738] +
+ vX_[5955] * vX_[1703] + vX_[3626] * vX_[421] + vX_[3651] * vX_[1962] + vX_[3621] * vX_[1731] +
+ vX_[6444] * vX_[1903] + vX_[6217] * vX_[1736] + vX_[6015] * vX_[1916] + vX_[3362] * vX_[394] +
+ vX_[3211] * vX_[1759] + vX_[5941] * vX_[1909] + vX_[7436] * vX_[1746] + vX_[6191] * vX_[1806] +
+ vX_[5809] * vX_[1825] + vX_[7487] * vX_[1801] + vX_[3618] * vX_[1844] + vX_[3243] * vX_[1832] +
+ vX_[5827] * vX_[1836] + vX_[5813] * vX_[1798] + vX_[5816] * vX_[1784] + vX_[6001] * vX_[1792] +
+ vX_[6224] * vX_[1817] + vX_[6650] * vX_[1820] + vX_[6160] * vX_[1880] + vX_[5806] * vX_[1825] +
+ vX_[6776] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[3613] * vX_[1701] + vX_[3648] * vX_[1944] + vX_[3633] * vX_[1891] + vX_[3650] * vX_[1951] +
+ vX_[3619] * vX_[1719] + vX_[3635] * vX_[1896] + vX_[3601] * vX_[1736] + vX_[3639] * vX_[1914] +
+ vX_[3632] * vX_[394] + vX_[3651] * vX_[1959] + vX_[3621] * vX_[1728] + vX_[3636] * vX_[1902] +
+ vX_[3624] * vX_[1741] + vX_[3640] * vX_[1703] + vX_[3627] * vX_[1751] + vX_[3641] * vX_[1757] +
+ vX_[3637] * vX_[1907] + vX_[3652] * vX_[1745] + vX_[6182] * vX_[1804] + vX_[5829] * vX_[1823] +
+ vX_[3591] * vX_[1800] + vX_[3618] * vX_[1842] + vX_[3243] * vX_[1833] + vX_[5827] * vX_[1838] +
+ vX_[5813] * vX_[1796] + vX_[5816] * vX_[1786] + vX_[6389] * vX_[1790] + vX_[3590] * vX_[1816] +
+ vX_[6229] * vX_[1819] + vX_[3724] * vX_[1878] + vX_[5808] * vX_[1868] + vX_[3653] * vX_[1873]) *
+ vX_[1694];
+ vX_[5771] = vX_[5360] + vX_[5530] * vX_[421] + vX_[5771] * vX_[435] + vX_[3999] * vX_[1904];
+ vX_[5358] = vX_[5360] + vX_[3761] * vX_[394] + vX_[5358] * vX_[440] + vX_[4000] * vX_[1963];
+ vX_[5360] = vX_[5771] - vX_[5358];
+ vX_[5514] = vX_[5530] * vX_[394] + vX_[3761] * vX_[421] + vX_[5166] * vX_[440] + vX_[5514] * vX_[435] +
+ vX_[3999] * vX_[1963] + vX_[4000] * vX_[1904];
+ vX_[5166] = vX_[5360] * vX_[395] + vX_[5514] * vX_[398];
+ vX_[3761] = vX_[5360] * vX_[397] + vX_[5514] * vX_[395];
+ vX_[5771] = 0 - vX_[5771];
+ vX_[5530] = 0 - vX_[5514];
+ vX_[5603] = vX_[5385] * vX_[421] + vX_[3759] * vX_[433] + vX_[5603] * vX_[435] + vX_[3999] * vX_[2078] +
+ vX_[3996] * vX_[1904];
+ vX_[6461] = 0 - vX_[5603];
+ vX_[3989] = vX_[5385] * vX_[394] + vX_[3759] * vX_[421] + vX_[3989] * vX_[435] + vX_[3999] * vX_[4138] +
+ vX_[4006] * vX_[1904];
+ vX_[3759] = 0 - vX_[3989];
+ vX_[5385] =
+ (vX_[5771] * vX_[428] + vX_[5530] * vX_[416] + vX_[6461] * vX_[424] + vX_[3759] * vX_[406]) * 1 / vX_[418];
+ vX_[5771] = vX_[4002] * vX_[1947] + vX_[5771] * vX_[429] + vX_[5385];
+ vX_[3994] = vX_[5658] * vX_[421] + vX_[5587] * vX_[433] + vX_[3994] * vX_[440] + vX_[4000] * vX_[2078] +
+ vX_[3996] * vX_[1963];
+ vX_[5358] = 0 - vX_[5358];
+ vX_[6357] = 0 - vX_[3994];
+ vX_[3990] = vX_[5658] * vX_[394] + vX_[5587] * vX_[421] + vX_[3990] * vX_[440] + vX_[4000] * vX_[4138] +
+ vX_[4006] * vX_[1963];
+ vX_[5587] = 0 - vX_[3990];
+ vX_[5658] = (vX_[5358] * vX_[416] + vX_[6357] * vX_[424] + vX_[5587] * vX_[406]) * 1 / vX_[418];
+ vX_[5358] = vX_[4003] * vX_[1947] + vX_[5530] * vX_[429] + vX_[5358] * vX_[419] + vX_[5658];
+ vX_[5762] = vX_[5512] + vX_[6662] * vX_[435] + vX_[5762] * vX_[440] * 2. + vX_[3995] * vX_[4138] - vX_[5358];
+ vX_[5512] = vX_[5400] + vX_[3996] * vX_[2078];
+ vX_[3992] = vX_[3992] + vX_[4006] * vX_[4138];
+ vX_[5530] = vX_[5512] - vX_[3992];
+ vX_[6663] = 0 - vX_[5512];
+ vX_[6662] = vX_[6662] + vX_[3996] * vX_[4138] + vX_[4006] * vX_[2078];
+ vX_[3611] = 0 - vX_[6662];
+ vX_[6227] = (vX_[6663] * vX_[424] + vX_[3611] * vX_[406]) * 1 / vX_[418];
+ vX_[6663] = vX_[4005] * vX_[1947] + vX_[6461] * vX_[429] + vX_[6357] * vX_[419] + vX_[6663] * vX_[463] + vX_[6227];
+ vX_[6357] = 0 - vX_[3992];
+ vX_[6461] = vX_[6357] * vX_[406] * 1 / vX_[418];
+ vX_[6357] = vX_[4007] * vX_[1947] + vX_[3759] * vX_[429] + vX_[5587] * vX_[419] + vX_[3611] * vX_[463] +
+ vX_[6357] * vX_[459] + vX_[6461];
+ vX_[3611] = 0 - vX_[6357];
+ vX_[5587] = vX_[5530] * vX_[395] + vX_[6662] * vX_[398];
+ vX_[3759] = vX_[5530] * vX_[397] + vX_[6662] * vX_[395];
+ vX_[6612] = vX_[3992] + vX_[5587] * vX_[395];
+ vX_[6517] = vX_[3992] + vX_[3759] * vX_[397];
+ vX_[6461] = vX_[5512] + vX_[3992] + 0 - vX_[4002] * vX_[3731] - vX_[4003] * vX_[1120] - vX_[4004] * vX_[1747] +
+ vX_[4004] * vX_[1947] - vX_[4005] * vX_[1899] - vX_[4007] * vX_[1704] - vX_[5385] * vX_[429] -
+ vX_[5658] * vX_[419] - vX_[6227] * vX_[463] - vX_[6461] * vX_[459] - vX_[6612] - vX_[6517];
+ vX_[6227] = 0 - vX_[6517];
+ vX_[3992] = vX_[5771] * vX_[395] + vX_[5358] * vX_[398];
+ vX_[5512] = 0 - vX_[6461];
+ vX_[5658] = vX_[3992] + vX_[5512] * vX_[403];
+ vX_[5385] = vX_[5771] * vX_[397] + vX_[5358] * vX_[395];
+ vX_[4007] = vX_[5385] + vX_[6461] * vX_[400];
+ vX_[5785] = 0 - (vX_[5677] + vX_[5785] * vX_[440] + vX_[5400] * vX_[435] * 2. + vX_[3995] * vX_[2078]) + vX_[5771];
+ vX_[5677] = vX_[5587] * vX_[397] + vX_[3759] * vX_[395];
+ vX_[5400] = 0 - vX_[6357];
+ jac[311] =
+ (vX_[3999] * vX_[4110] + vX_[3996] * vX_[47] + vX_[5360] * vX_[445] + vX_[5166] * 0.00185880198235362 +
+ vX_[3761] * -7.4114911576828e-06 + vX_[5771] * vX_[414] + vX_[3989] * vX_[399] + vX_[5603] * vX_[423] +
+ (vX_[3994] * vX_[398] + vX_[5603] * vX_[395]) * 8.81e-05 + vX_[5762] * vX_[409] + vX_[5530] * vX_[456] +
+ vX_[6663] * vX_[405] + vX_[3611] * vX_[401] + vX_[5587] * vX_[455] + vX_[3759] * vX_[454] +
+ vX_[5394] * vX_[1145] + vX_[5383] * vX_[43] - (vX_[4000] * vX_[1734] + vX_[5404] * vX_[916]) +
+ (vX_[4001] * vX_[4110] + vX_[6461] * vX_[411] + vX_[6227] * vX_[412] + vX_[5658] * 0.00185880198235362 +
+ vX_[4007] * 0.880992588508842 +
+ (0 - (vX_[5762] * vX_[395] + vX_[5785] * vX_[398] + vX_[5385] + vX_[5677] * vX_[403] +
+ vX_[6227] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[3611] * vX_[397] + vX_[6663] * vX_[395]) +
+ (vX_[6663] * vX_[395] + vX_[6357] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[5677]) * -0.1104774 + (0 - vX_[6517]) * 0.000881 + vX_[5394] * vX_[1233]) *
+ 0.35 -
+ (vX_[4006] * vX_[1955] + vX_[5514] * vX_[446] + vX_[5358] * vX_[410] + vX_[3994] * vX_[422] +
+ vX_[3990] * vX_[396] + (vX_[3989] * vX_[397] + vX_[3990] * vX_[395]) * -8.81e-05 +
+ vX_[5785] * vX_[413] + vX_[6357] * vX_[402] + vX_[6662] * vX_[457] + vX_[6663] * vX_[404] +
+ vX_[5347] * vX_[15])) *
+ vX_[3657] -
+ (vX_[3999] * vX_[1734] + vX_[4000] * vX_[4110] + vX_[3996] * vX_[1955] + vX_[4006] * vX_[47] +
+ vX_[5360] * vX_[446] + vX_[5514] * vX_[445] + vX_[5166] * -0.466187537174287 +
+ vX_[3761] * 0.00185880198235362 + vX_[5771] * vX_[410] + vX_[5358] * vX_[414] + vX_[3994] * vX_[423] +
+ vX_[3989] * vX_[396] + vX_[5603] * vX_[422] + vX_[3990] * vX_[399] +
+ (vX_[3994] * vX_[395] + vX_[5603] * vX_[397]) * -8.81e-05 +
+ (vX_[3989] * vX_[395] + vX_[3990] * vX_[398]) * 8.81e-05 + vX_[5762] * vX_[413] + vX_[5785] * vX_[409] +
+ vX_[5530] * vX_[457] + vX_[6663] * vX_[402] + vX_[6357] * vX_[405] + vX_[6662] * vX_[456] +
+ vX_[5400] * vX_[404] + vX_[6663] * vX_[401] + vX_[5587] * vX_[453] + vX_[3759] * vX_[455] +
+ (vX_[5677] * vX_[412] + vX_[5512] * vX_[407] + vX_[6612] * vX_[408] + (0 - vX_[5658]) * 0.414812462825713 +
+ (0 - (vX_[5762] * vX_[397] + vX_[5785] * vX_[395]) + vX_[3992] + vX_[6612] * vX_[403]) * 0.881 +
+ (0 - vX_[4007]) * 0.00185880198235362 +
+ (0 - (vX_[5400] * vX_[395] + vX_[6663] * vX_[398] +
+ (vX_[6663] * vX_[397] + vX_[6357] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[5677] * 0.0004405 + vX_[6612] * -0.2209548) *
+ -0.35 +
+ vX_[5404] * vX_[1145] + vX_[5394] * vX_[916] + vX_[5347] * vX_[43] + vX_[5383] * vX_[15] +
+ (vX_[4001] * vX_[1734] + vX_[5404] * vX_[1233]) * 0.35 + vX_[4043] * vX_[1942] + vX_[5167] * vX_[1709] +
+ vX_[4046] * vX_[1954] + vX_[4015] * vX_[1722] + vX_[4031] * vX_[1898] + vX_[4019] * vX_[1738] +
+ vX_[4975] * vX_[1703] + vX_[4022] * vX_[421] + vX_[4047] * vX_[1962] + vX_[4017] * vX_[1731] +
+ vX_[5411] * vX_[1903] + vX_[5356] * vX_[1736] + vX_[4982] * vX_[1916] + vX_[3758] * vX_[394] +
+ vX_[3617] * vX_[1759] + vX_[4965] * vX_[1909] + vX_[6443] * vX_[1746] + vX_[5253] * vX_[1806] +
+ vX_[4948] * vX_[1825] + vX_[6616] * vX_[1801] + vX_[4014] * vX_[1844] + vX_[3649] * vX_[1832] +
+ vX_[4960] * vX_[1836] + vX_[4961] * vX_[1798] + vX_[4944] * vX_[1784] + vX_[5344] * vX_[1792] +
+ vX_[5352] * vX_[1817] + vX_[5788] * vX_[1820] + vX_[5240] * vX_[1880] + vX_[4939] * vX_[1825] +
+ vX_[6106] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[4009] * vX_[1701] + vX_[4044] * vX_[1944] + vX_[4029] * vX_[1891] + vX_[4046] * vX_[1951] +
+ vX_[4015] * vX_[1719] + vX_[4031] * vX_[1896] + vX_[3997] * vX_[1736] + vX_[4035] * vX_[1914] +
+ vX_[4028] * vX_[394] + vX_[4047] * vX_[1959] + vX_[4017] * vX_[1728] + vX_[4032] * vX_[1902] +
+ vX_[4020] * vX_[1741] + vX_[4036] * vX_[1703] + vX_[4023] * vX_[1751] + vX_[4037] * vX_[1757] +
+ vX_[4033] * vX_[1907] + vX_[4048] * vX_[1745] + vX_[5313] * vX_[1804] + vX_[4870] * vX_[1823] +
+ vX_[3987] * vX_[1800] + vX_[4014] * vX_[1842] + vX_[3649] * vX_[1833] + vX_[4960] * vX_[1838] +
+ vX_[4961] * vX_[1796] + vX_[4944] * vX_[1786] + vX_[5408] * vX_[1790] + vX_[3986] * vX_[1816] +
+ vX_[5362] * vX_[1819] + vX_[4120] * vX_[1878] + vX_[4797] * vX_[1868] + vX_[4049] * vX_[1873]) *
+ vX_[1694];
+ vX_[4502] = vX_[4506] + vX_[4682] * vX_[421] + vX_[4502] * vX_[435] + vX_[4414] * vX_[1904];
+ vX_[4664] = vX_[4506] + vX_[4176] * vX_[394] + vX_[4664] * vX_[440] + vX_[4415] * vX_[1963];
+ vX_[4506] = vX_[4502] - vX_[4664];
+ vX_[4504] = vX_[4682] * vX_[394] + vX_[4176] * vX_[421] + vX_[4143] * vX_[440] + vX_[4504] * vX_[435] +
+ vX_[4414] * vX_[1963] + vX_[4415] * vX_[1904];
+ vX_[4143] = vX_[4506] * vX_[395] + vX_[4504] * vX_[398];
+ vX_[4176] = vX_[4506] * vX_[397] + vX_[4504] * vX_[395];
+ vX_[4502] = 0 - vX_[4502];
+ vX_[4682] = 0 - vX_[4504];
+ vX_[4409] = vX_[4149] * vX_[421] + vX_[4810] * vX_[433] + vX_[4409] * vX_[435] + vX_[4414] * vX_[2078] +
+ vX_[4411] * vX_[1904];
+ vX_[5400] = 0 - vX_[4409];
+ vX_[4755] = vX_[4149] * vX_[394] + vX_[4810] * vX_[421] + vX_[4755] * vX_[435] + vX_[4414] * vX_[4138] +
+ vX_[4421] * vX_[1904];
+ vX_[4810] = 0 - vX_[4755];
+ vX_[4149] =
+ (vX_[4502] * vX_[428] + vX_[4682] * vX_[416] + vX_[5400] * vX_[424] + vX_[4810] * vX_[406]) * 1 / vX_[418];
+ vX_[4502] = vX_[4417] * vX_[1947] + vX_[4502] * vX_[429] + vX_[4149];
+ vX_[4666] = vX_[4500] * vX_[421] + vX_[2914] * vX_[433] + vX_[4666] * vX_[440] + vX_[4415] * vX_[2078] +
+ vX_[4411] * vX_[1963];
+ vX_[4664] = 0 - vX_[4664];
+ vX_[5677] = 0 - vX_[4666];
+ vX_[4145] = vX_[4500] * vX_[394] + vX_[2914] * vX_[421] + vX_[4145] * vX_[440] + vX_[4415] * vX_[4138] +
+ vX_[4421] * vX_[1963];
+ vX_[2914] = 0 - vX_[4145];
+ vX_[4500] = (vX_[4664] * vX_[416] + vX_[5677] * vX_[424] + vX_[2914] * vX_[406]) * 1 / vX_[418];
+ vX_[4664] = vX_[4418] * vX_[1947] + vX_[4682] * vX_[429] + vX_[4664] * vX_[419] + vX_[4500];
+ vX_[4902] = vX_[4683] + vX_[3754] * vX_[435] + vX_[4902] * vX_[440] * 2. + vX_[4410] * vX_[4138] - vX_[4664];
+ vX_[4683] = vX_[4542] + vX_[4411] * vX_[2078];
+ vX_[4407] = vX_[4407] + vX_[4421] * vX_[4138];
+ vX_[4682] = vX_[4683] - vX_[4407];
+ vX_[5785] = 0 - vX_[4683];
+ vX_[3754] = vX_[3754] + vX_[4411] * vX_[4138] + vX_[4421] * vX_[2078];
+ vX_[4007] = 0 - vX_[3754];
+ vX_[5385] = (vX_[5785] * vX_[424] + vX_[4007] * vX_[406]) * 1 / vX_[418];
+ vX_[5785] = vX_[4420] * vX_[1947] + vX_[5400] * vX_[429] + vX_[5677] * vX_[419] + vX_[5785] * vX_[463] + vX_[5385];
+ vX_[5677] = 0 - vX_[4407];
+ vX_[5400] = vX_[5677] * vX_[406] * 1 / vX_[418];
+ vX_[5677] = vX_[4422] * vX_[1947] + vX_[4810] * vX_[429] + vX_[2914] * vX_[419] + vX_[4007] * vX_[463] +
+ vX_[5677] * vX_[459] + vX_[5400];
+ vX_[4007] = 0 - vX_[5677];
+ vX_[2914] = vX_[4682] * vX_[395] + vX_[3754] * vX_[398];
+ vX_[4810] = vX_[4682] * vX_[397] + vX_[3754] * vX_[395];
+ vX_[5658] = vX_[4407] + vX_[2914] * vX_[395];
+ vX_[5512] = vX_[4407] + vX_[4810] * vX_[397];
+ vX_[5400] = vX_[4683] + vX_[4407] + 0 - vX_[4417] * vX_[3731] - vX_[4418] * vX_[1120] - vX_[4419] * vX_[1747] +
+ vX_[4419] * vX_[1947] - vX_[4420] * vX_[1899] - vX_[4422] * vX_[1704] - vX_[4149] * vX_[429] -
+ vX_[4500] * vX_[419] - vX_[5385] * vX_[463] - vX_[5400] * vX_[459] - vX_[5658] - vX_[5512];
+ vX_[5385] = 0 - vX_[5512];
+ vX_[4407] = vX_[4502] * vX_[395] + vX_[4664] * vX_[398];
+ vX_[4683] = 0 - vX_[5400];
+ vX_[4500] = vX_[4407] + vX_[4683] * vX_[403];
+ vX_[4149] = vX_[4502] * vX_[397] + vX_[4664] * vX_[395];
+ vX_[4422] = vX_[4149] + vX_[5400] * vX_[400];
+ vX_[4665] = 0 - (vX_[4829] + vX_[4665] * vX_[440] + vX_[4542] * vX_[435] * 2. + vX_[4410] * vX_[2078]) + vX_[4502];
+ vX_[4829] = vX_[2914] * vX_[397] + vX_[4810] * vX_[395];
+ vX_[4542] = 0 - vX_[5677];
+ jac[312] =
+ (vX_[4414] * vX_[4110] + vX_[4411] * vX_[47] + vX_[4506] * vX_[445] + vX_[4143] * 0.00185880198235362 +
+ vX_[4176] * -7.4114911576828e-06 + vX_[4502] * vX_[414] + vX_[4755] * vX_[399] + vX_[4409] * vX_[423] +
+ (vX_[4666] * vX_[398] + vX_[4409] * vX_[395]) * 8.81e-05 + vX_[4902] * vX_[409] + vX_[4682] * vX_[456] +
+ vX_[5785] * vX_[405] + vX_[4007] * vX_[401] + vX_[2914] * vX_[455] + vX_[4810] * vX_[454] +
+ vX_[4549] * vX_[1145] + vX_[4515] * vX_[43] - (vX_[4415] * vX_[1734] + vX_[4536] * vX_[916]) +
+ (vX_[4416] * vX_[4110] + vX_[5400] * vX_[411] + vX_[5385] * vX_[412] + vX_[4500] * 0.00185880198235362 +
+ vX_[4422] * 0.880992588508842 +
+ (0 - (vX_[4902] * vX_[395] + vX_[4665] * vX_[398] + vX_[4149] + vX_[4829] * vX_[403] +
+ vX_[5385] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[4007] * vX_[397] + vX_[5785] * vX_[395]) +
+ (vX_[5785] * vX_[395] + vX_[5677] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[4829]) * -0.1104774 + (0 - vX_[5512]) * 0.000881 + vX_[4549] * vX_[1233]) *
+ 0.35 -
+ (vX_[4421] * vX_[1955] + vX_[4504] * vX_[446] + vX_[4664] * vX_[410] + vX_[4666] * vX_[422] +
+ vX_[4145] * vX_[396] + (vX_[4755] * vX_[397] + vX_[4145] * vX_[395]) * -8.81e-05 +
+ vX_[4665] * vX_[413] + vX_[5677] * vX_[402] + vX_[3754] * vX_[457] + vX_[5785] * vX_[404] +
+ vX_[4487] * vX_[15])) *
+ vX_[3657] -
+ (vX_[4414] * vX_[1734] + vX_[4415] * vX_[4110] + vX_[4411] * vX_[1955] + vX_[4421] * vX_[47] +
+ vX_[4506] * vX_[446] + vX_[4504] * vX_[445] + vX_[4143] * -0.466187537174287 +
+ vX_[4176] * 0.00185880198235362 + vX_[4502] * vX_[410] + vX_[4664] * vX_[414] + vX_[4666] * vX_[423] +
+ vX_[4755] * vX_[396] + vX_[4409] * vX_[422] + vX_[4145] * vX_[399] +
+ (vX_[4666] * vX_[395] + vX_[4409] * vX_[397]) * -8.81e-05 +
+ (vX_[4755] * vX_[395] + vX_[4145] * vX_[398]) * 8.81e-05 + vX_[4902] * vX_[413] + vX_[4665] * vX_[409] +
+ vX_[4682] * vX_[457] + vX_[5785] * vX_[402] + vX_[5677] * vX_[405] + vX_[3754] * vX_[456] +
+ vX_[4542] * vX_[404] + vX_[5785] * vX_[401] + vX_[2914] * vX_[453] + vX_[4810] * vX_[455] +
+ (vX_[4829] * vX_[412] + vX_[4683] * vX_[407] + vX_[5658] * vX_[408] + (0 - vX_[4500]) * 0.414812462825713 +
+ (0 - (vX_[4902] * vX_[397] + vX_[4665] * vX_[395]) + vX_[4407] + vX_[5658] * vX_[403]) * 0.881 +
+ (0 - vX_[4422]) * 0.00185880198235362 +
+ (0 - (vX_[4542] * vX_[395] + vX_[5785] * vX_[398] +
+ (vX_[5785] * vX_[397] + vX_[5677] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[4829] * 0.0004405 + vX_[5658] * -0.2209548) *
+ -0.35 +
+ vX_[4536] * vX_[1145] + vX_[4549] * vX_[916] + vX_[4487] * vX_[43] + vX_[4515] * vX_[15] +
+ (vX_[4416] * vX_[1734] + vX_[4536] * vX_[1233]) * 0.35 + vX_[4458] * vX_[1942] + vX_[4235] * vX_[1709] +
+ vX_[4461] * vX_[1954] + vX_[4430] * vX_[1722] + vX_[4446] * vX_[1898] + vX_[4434] * vX_[1738] +
+ vX_[2900] * vX_[1703] + vX_[4437] * vX_[421] + vX_[4462] * vX_[1962] + vX_[4432] * vX_[1731] +
+ vX_[4550] * vX_[1903] + vX_[4490] * vX_[1736] + vX_[2892] * vX_[1916] + vX_[4173] * vX_[394] +
+ vX_[4045] * vX_[1759] + vX_[2895] * vX_[1909] + vX_[5513] * vX_[1746] + vX_[4399] * vX_[1806] +
+ vX_[2867] * vX_[1825] + vX_[5749] * vX_[1801] + vX_[4429] * vX_[1844] + vX_[5368] * vX_[1832] +
+ vX_[2885] * vX_[1836] + vX_[2871] * vX_[1798] + vX_[2874] * vX_[1784] + vX_[4222] * vX_[1792] +
+ vX_[4402] * vX_[1817] + vX_[4141] * vX_[1820] + vX_[4308] * vX_[1880] + vX_[2864] * vX_[1825] +
+ vX_[5168] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[4424] * vX_[1701] + vX_[4459] * vX_[1944] + vX_[4444] * vX_[1891] + vX_[4461] * vX_[1951] +
+ vX_[4430] * vX_[1719] + vX_[4446] * vX_[1896] + vX_[4412] * vX_[1736] + vX_[4450] * vX_[1914] +
+ vX_[4443] * vX_[394] + vX_[4462] * vX_[1959] + vX_[4432] * vX_[1728] + vX_[4447] * vX_[1902] +
+ vX_[4435] * vX_[1741] + vX_[4451] * vX_[1703] + vX_[4438] * vX_[1751] + vX_[4452] * vX_[1757] +
+ vX_[4448] * vX_[1907] + vX_[4463] * vX_[1745] + vX_[4381] * vX_[1804] + vX_[2887] * vX_[1823] +
+ vX_[4405] * vX_[1800] + vX_[4429] * vX_[1842] + vX_[5368] * vX_[1833] + vX_[2885] * vX_[1838] +
+ vX_[2871] * vX_[1796] + vX_[2874] * vX_[1786] + vX_[4546] * vX_[1790] + vX_[4404] * vX_[1816] +
+ vX_[4401] * vX_[1819] + vX_[4535] * vX_[1878] + vX_[2866] * vX_[1868] + vX_[4464] * vX_[1873]) *
+ vX_[1694];
+ vX_[4798] = vX_[2460] + vX_[2605] * vX_[421] + vX_[4798] * vX_[435] + vX_[4843] * vX_[1904];
+ vX_[2665] = vX_[2460] + vX_[4605] * vX_[394] + vX_[2665] * vX_[440] + vX_[4844] * vX_[1963];
+ vX_[2460] = vX_[4798] - vX_[2665];
+ vX_[2483] = vX_[2605] * vX_[394] + vX_[4605] * vX_[421] + vX_[4572] * vX_[440] + vX_[2483] * vX_[435] +
+ vX_[4843] * vX_[1963] + vX_[4844] * vX_[1904];
+ vX_[4572] = vX_[2460] * vX_[395] + vX_[2483] * vX_[398];
+ vX_[4605] = vX_[2460] * vX_[397] + vX_[2483] * vX_[395];
+ vX_[1687] = vX_[1686] * vX_[5779] + vX_[1687] * vX_[2937] + vX_[421] * vX_[4174] + vX_[1904];
+ vX_[4798] = 0 - vX_[4798];
+ vX_[1686] = 0 - vX_[2483];
+ vX_[4838] = vX_[4578] * vX_[421] + vX_[2811] * vX_[433] + vX_[4838] * vX_[435] + vX_[4843] * vX_[2078] +
+ vX_[4840] * vX_[1904];
+ vX_[2605] = 0 - vX_[4838];
+ vX_[2678] = vX_[4578] * vX_[394] + vX_[2811] * vX_[421] + vX_[2678] * vX_[435] + vX_[4843] * vX_[4138] +
+ vX_[4850] * vX_[1904];
+ vX_[2811] = 0 - vX_[2678];
+ vX_[4578] =
+ (vX_[4798] * vX_[428] + vX_[1686] * vX_[416] + vX_[2605] * vX_[424] + vX_[2811] * vX_[406]) * 1 / vX_[418];
+ vX_[4798] = vX_[4564] * vX_[1687] + vX_[4846] * vX_[1947] + vX_[4798] * vX_[429] + vX_[4578];
+ vX_[2610] = vX_[2479] * vX_[421] + vX_[4603] * vX_[433] + vX_[2610] * vX_[440] + vX_[4844] * vX_[2078] +
+ vX_[4840] * vX_[1963];
+ vX_[4174] = vX_[421] * vX_[5779] + vX_[439] * vX_[2937] + vX_[394] * vX_[4174] + vX_[1963];
+ vX_[2665] = 0 - vX_[2665];
+ vX_[5779] = 0 - vX_[2610];
+ vX_[4574] = vX_[2479] * vX_[394] + vX_[4603] * vX_[421] + vX_[4574] * vX_[440] + vX_[4844] * vX_[4138] +
+ vX_[4850] * vX_[1963];
+ vX_[4603] = 0 - vX_[4574];
+ vX_[2479] = (vX_[2665] * vX_[416] + vX_[5779] * vX_[424] + vX_[4603] * vX_[406]) * 1 / vX_[418];
+ vX_[2665] = vX_[4566] * vX_[4174] + vX_[4847] * vX_[1947] + vX_[1686] * vX_[429] + vX_[2665] * vX_[419] + vX_[2479];
+ vX_[4568] = vX_[4562] + vX_[4935] * vX_[435] + vX_[4568] * vX_[440] * 2. + vX_[4839] * vX_[4138] - vX_[2665];
+ vX_[4562] = vX_[2609] + vX_[4840] * vX_[2078];
+ vX_[4836] = vX_[4836] + vX_[4850] * vX_[4138];
+ vX_[1686] = vX_[4562] - vX_[4836];
+ vX_[4566] = vX_[421] * vX_[2911] + vX_[433] * vX_[4724] + vX_[2078];
+ vX_[439] = 0 - vX_[4562];
+ vX_[4935] = vX_[4935] + vX_[4840] * vX_[4138] + vX_[4850] * vX_[2078];
+ vX_[4564] = 0 - vX_[4935];
+ vX_[4542] = (vX_[439] * vX_[424] + vX_[4564] * vX_[406]) * 1 / vX_[418];
+ vX_[439] = vX_[4556] * vX_[4566] + vX_[4849] * vX_[1947] + vX_[2605] * vX_[429] + vX_[5779] * vX_[419] +
+ vX_[439] * vX_[463] + vX_[4542];
+ vX_[2911] = vX_[394] * vX_[2911] + vX_[421] * vX_[4724] + vX_[4138];
+ vX_[4724] = 0 - vX_[4836];
+ vX_[5779] = vX_[4724] * vX_[406] * 1 / vX_[418];
+ vX_[4724] = vX_[4558] * vX_[2911] + vX_[4851] * vX_[1947] + vX_[2811] * vX_[429] + vX_[4603] * vX_[419] +
+ vX_[4564] * vX_[463] + vX_[4724] * vX_[459] + vX_[5779];
+ vX_[4564] = 0 - vX_[4724];
+ vX_[4603] = vX_[1686] * vX_[395] + vX_[4935] * vX_[398];
+ vX_[2811] = vX_[1686] * vX_[397] + vX_[4935] * vX_[395];
+ vX_[2937] = -1 * vX_[2937];
+ vX_[4558] = (vX_[1947] - vX_[418] * vX_[2937] - vX_[424] * vX_[4566] - vX_[406] * vX_[2911] - vX_[428] * vX_[1687] -
+ vX_[416] * vX_[4174]) /
+ vX_[418];
+ vX_[2605] = vX_[4836] + vX_[4603] * vX_[395];
+ vX_[4556] = vX_[4836] + vX_[2811] * vX_[397];
+ vX_[5779] = vX_[4562] + vX_[4836] + 0 - vX_[4555] * vX_[4558] + vX_[4571] * vX_[2937] - vX_[4846] * vX_[3731] -
+ vX_[4847] * vX_[1120] - vX_[4848] * vX_[1747] + vX_[4848] * vX_[1947] - vX_[4849] * vX_[1899] -
+ vX_[4851] * vX_[1704] - vX_[4578] * vX_[429] - vX_[2479] * vX_[419] - vX_[4542] * vX_[463] -
+ vX_[5779] * vX_[459] - vX_[2605] - vX_[4556];
+ vX_[4542] = 0 - vX_[4556];
+ vX_[4836] = vX_[4798] * vX_[395] + vX_[2665] * vX_[398];
+ vX_[4562] = 0 - vX_[5779];
+ vX_[2479] = vX_[4836] + vX_[4562] * vX_[403];
+ vX_[4578] = vX_[4798] * vX_[397] + vX_[2665] * vX_[395];
+ vX_[4851] = vX_[4578] + vX_[5779] * vX_[400];
+ vX_[2666] = 0 - (vX_[2812] + vX_[2666] * vX_[440] + vX_[2609] * vX_[435] * 2. + vX_[4839] * vX_[2078]) + vX_[4798];
+ vX_[2812] = vX_[4603] * vX_[397] + vX_[2811] * vX_[395];
+ vX_[2609] = 0 - vX_[4724];
+ jac[313] =
+ (vX_[4843] * vX_[4110] + vX_[4840] * vX_[47] + vX_[2460] * vX_[445] + vX_[4572] * 0.00185880198235362 +
+ vX_[4605] * -7.4114911576828e-06 + vX_[4798] * vX_[414] + vX_[2678] * vX_[399] + vX_[4838] * vX_[423] +
+ (vX_[2610] * vX_[398] + vX_[4838] * vX_[395]) * 8.81e-05 + vX_[4568] * vX_[409] + vX_[1686] * vX_[456] +
+ vX_[439] * vX_[405] + vX_[4564] * vX_[401] + vX_[4603] * vX_[455] + vX_[2811] * vX_[454] +
+ vX_[2509] * vX_[1145] + vX_[2477] * vX_[43] - (vX_[4844] * vX_[1734] + vX_[2498] * vX_[916]) +
+ (vX_[4845] * vX_[4110] + vX_[5779] * vX_[411] + vX_[4542] * vX_[412] + vX_[2479] * 0.00185880198235362 +
+ vX_[4851] * 0.880992588508842 +
+ (0 - (vX_[4568] * vX_[395] + vX_[2666] * vX_[398] + vX_[4578] + vX_[2812] * vX_[403] +
+ vX_[4542] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[4564] * vX_[397] + vX_[439] * vX_[395]) + (vX_[439] * vX_[395] + vX_[4724] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[2812]) * -0.1104774 + (0 - vX_[4556]) * 0.000881 + vX_[2509] * vX_[1233]) *
+ 0.35 -
+ (vX_[4850] * vX_[1955] + vX_[2483] * vX_[446] + vX_[2665] * vX_[410] + vX_[2610] * vX_[422] +
+ vX_[4574] * vX_[396] + (vX_[2678] * vX_[397] + vX_[4574] * vX_[395]) * -8.81e-05 +
+ vX_[2666] * vX_[413] + vX_[4724] * vX_[402] + vX_[4935] * vX_[457] + vX_[439] * vX_[404] +
+ vX_[2251] * vX_[15])) *
+ vX_[3657] -
+ (vX_[4843] * vX_[1734] + vX_[4844] * vX_[4110] + vX_[4840] * vX_[1955] + vX_[4850] * vX_[47] +
+ vX_[2460] * vX_[446] + vX_[2483] * vX_[445] + vX_[4572] * -0.466187537174287 +
+ vX_[4605] * 0.00185880198235362 + vX_[4798] * vX_[410] + vX_[2665] * vX_[414] + vX_[2610] * vX_[423] +
+ vX_[2678] * vX_[396] + vX_[4838] * vX_[422] + vX_[4574] * vX_[399] +
+ (vX_[2610] * vX_[395] + vX_[4838] * vX_[397]) * -8.81e-05 +
+ (vX_[2678] * vX_[395] + vX_[4574] * vX_[398]) * 8.81e-05 + vX_[4568] * vX_[413] + vX_[2666] * vX_[409] +
+ vX_[1686] * vX_[457] + vX_[439] * vX_[402] + vX_[4724] * vX_[405] + vX_[4935] * vX_[456] +
+ vX_[2609] * vX_[404] + vX_[439] * vX_[401] + vX_[4603] * vX_[453] + vX_[2811] * vX_[455] +
+ (vX_[2812] * vX_[412] + vX_[4562] * vX_[407] + vX_[2605] * vX_[408] + (0 - vX_[2479]) * 0.414812462825713 +
+ (0 - (vX_[4568] * vX_[397] + vX_[2666] * vX_[395]) + vX_[4836] + vX_[2605] * vX_[403]) * 0.881 +
+ (0 - vX_[4851]) * 0.00185880198235362 +
+ (0 - (vX_[2609] * vX_[395] + vX_[439] * vX_[398] + (vX_[439] * vX_[397] + vX_[4724] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[2812] * 0.0004405 + vX_[2605] * -0.2209548) *
+ -0.35 +
+ vX_[2498] * vX_[1145] + vX_[2509] * vX_[916] + vX_[2251] * vX_[43] + vX_[2477] * vX_[15] +
+ (vX_[4845] * vX_[1734] + vX_[2498] * vX_[1233]) * 0.35 + vX_[4887] * vX_[1942] + vX_[2264] * vX_[1709] +
+ vX_[4890] * vX_[1954] + vX_[4859] * vX_[1722] + vX_[4875] * vX_[1898] + vX_[4863] * vX_[1738] +
+ vX_[2097] * vX_[1703] + vX_[4866] * vX_[421] + vX_[4891] * vX_[1962] + vX_[4861] * vX_[1731] +
+ vX_[2592] * vX_[1903] + vX_[2453] * vX_[1736] + vX_[2192] * vX_[1916] + vX_[2683] * vX_[394] +
+ vX_[4428] * vX_[1759] + vX_[2105] * vX_[1909] + vX_[2467] * vX_[1746] + vX_[2428] * vX_[1806] +
+ vX_[2061] * vX_[1825] + vX_[2456] * vX_[1801] + vX_[4858] * vX_[1844] + vX_[4460] * vX_[1832] +
+ vX_[1762] * vX_[1836] + vX_[2094] * vX_[1798] + vX_[2073] * vX_[1784] + vX_[2443] * vX_[1792] +
+ vX_[4831] * vX_[1817] + vX_[4570] * vX_[1820] + vX_[2337] * vX_[1880] + vX_[1450] * vX_[1825] +
+ vX_[4144] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[4853] * vX_[1701] + vX_[4888] * vX_[1944] + vX_[4873] * vX_[1891] + vX_[4890] * vX_[1951] +
+ vX_[4859] * vX_[1719] + vX_[4875] * vX_[1896] + vX_[4841] * vX_[1736] + vX_[4879] * vX_[1914] +
+ vX_[4872] * vX_[394] + vX_[4891] * vX_[1959] + vX_[4861] * vX_[1728] + vX_[4876] * vX_[1902] +
+ vX_[4864] * vX_[1741] + vX_[4880] * vX_[1703] + vX_[4867] * vX_[1751] + vX_[4881] * vX_[1757] +
+ vX_[4877] * vX_[1907] + vX_[4892] * vX_[1745] + vX_[2410] * vX_[1804] + vX_[2100] * vX_[1823] +
+ vX_[4834] * vX_[1800] + vX_[4858] * vX_[1842] + vX_[4460] * vX_[1833] + vX_[1762] * vX_[1838] +
+ vX_[2094] * vX_[1796] + vX_[2073] * vX_[1786] + vX_[2508] * vX_[1790] + vX_[4833] * vX_[1816] +
+ vX_[4830] * vX_[1819] + vX_[4964] * vX_[1878] + vX_[2068] * vX_[1868] + vX_[4893] * vX_[1873]) *
+ vX_[1694];
+ vX_[2040] = vX_[39] + vX_[1346] * vX_[421] + vX_[2040] * vX_[435] + vX_[5272] * vX_[1904];
+ vX_[1611] = vX_[39] + vX_[5034] * vX_[394] + vX_[1611] * vX_[440] + vX_[5273] * vX_[1963];
+ vX_[39] = vX_[2040] - vX_[1611];
+ vX_[2091] = vX_[1346] * vX_[394] + vX_[5034] * vX_[421] + vX_[5002] * vX_[440] + vX_[2091] * vX_[435] +
+ vX_[5272] * vX_[1963] + vX_[5273] * vX_[1904];
+ vX_[5002] = vX_[39] * vX_[395] + vX_[2091] * vX_[398];
+ vX_[5034] = vX_[39] * vX_[397] + vX_[2091] * vX_[395];
+ vX_[2040] = 0 - vX_[2040];
+ vX_[1346] = 0 - vX_[2091];
+ vX_[5267] = vX_[5007] * vX_[421] + vX_[1998] * vX_[433] + vX_[5267] * vX_[435] + vX_[5272] * vX_[2078] +
+ vX_[5269] * vX_[1904];
+ vX_[2609] = 0 - vX_[5267];
+ vX_[1656] = vX_[5007] * vX_[394] + vX_[1998] * vX_[421] + vX_[1656] * vX_[435] + vX_[5272] * vX_[4138] +
+ vX_[5279] * vX_[1904];
+ vX_[1998] = 0 - vX_[1656];
+ vX_[5007] =
+ (vX_[2040] * vX_[428] + vX_[1346] * vX_[416] + vX_[2609] * vX_[424] + vX_[1998] * vX_[406]) * 1 / vX_[418];
+ vX_[2040] = vX_[4994] * vX_[1687] + vX_[5275] * vX_[1947] + vX_[2040] * vX_[429] + vX_[5007];
+ vX_[1355] = vX_[1451] * vX_[421] + vX_[5032] * vX_[433] + vX_[1355] * vX_[440] + vX_[5273] * vX_[2078] +
+ vX_[5269] * vX_[1963];
+ vX_[1611] = 0 - vX_[1611];
+ vX_[4994] = 0 - vX_[1355];
+ vX_[5003] = vX_[1451] * vX_[394] + vX_[5032] * vX_[421] + vX_[5003] * vX_[440] + vX_[5273] * vX_[4138] +
+ vX_[5279] * vX_[1963];
+ vX_[5032] = 0 - vX_[5003];
+ vX_[1451] = (vX_[1611] * vX_[416] + vX_[4994] * vX_[424] + vX_[5032] * vX_[406]) * 1 / vX_[418];
+ vX_[1611] = vX_[4996] * vX_[4174] + vX_[5276] * vX_[1947] + vX_[1346] * vX_[429] + vX_[1611] * vX_[419] + vX_[1451];
+ vX_[4991] = vX_[4739] + vX_[2858] * vX_[435] + vX_[4991] * vX_[440] * 2. + vX_[5268] * vX_[4138] - vX_[1611];
+ vX_[4739] = vX_[1351] + vX_[5269] * vX_[2078];
+ vX_[5265] = vX_[5265] + vX_[5279] * vX_[4138];
+ vX_[1346] = vX_[4739] - vX_[5265];
+ vX_[4996] = 0 - vX_[4739];
+ vX_[2858] = vX_[2858] + vX_[5269] * vX_[4138] + vX_[5279] * vX_[2078];
+ vX_[2812] = 0 - vX_[2858];
+ vX_[2666] = (vX_[4996] * vX_[424] + vX_[2812] * vX_[406]) * 1 / vX_[418];
+ vX_[4996] = vX_[4986] * vX_[4566] + vX_[5278] * vX_[1947] + vX_[2609] * vX_[429] + vX_[4994] * vX_[419] +
+ vX_[4996] * vX_[463] + vX_[2666];
+ vX_[4994] = 0 - vX_[5265];
+ vX_[2609] = vX_[4994] * vX_[406] * 1 / vX_[418];
+ vX_[4994] = vX_[4988] * vX_[2911] + vX_[5280] * vX_[1947] + vX_[1998] * vX_[429] + vX_[5032] * vX_[419] +
+ vX_[2812] * vX_[463] + vX_[4994] * vX_[459] + vX_[2609];
+ vX_[2812] = 0 - vX_[4994];
+ vX_[5032] = vX_[1346] * vX_[395] + vX_[2858] * vX_[398];
+ vX_[1998] = vX_[1346] * vX_[397] + vX_[2858] * vX_[395];
+ vX_[2911] = vX_[2937] + vX_[4558];
+ vX_[4988] = vX_[5265] + vX_[5032] * vX_[395];
+ vX_[4566] = vX_[5265] + vX_[1998] * vX_[397];
+ vX_[2609] = vX_[4739] + vX_[5265] + 0 - vX_[4985] * vX_[4558] + vX_[5001] * vX_[2937] - vX_[5275] * vX_[3731] -
+ vX_[5276] * vX_[1120] - vX_[5277] * vX_[1747] + vX_[5277] * vX_[1947] - vX_[5278] * vX_[1899] -
+ vX_[5280] * vX_[1704] - vX_[5007] * vX_[429] - vX_[1451] * vX_[419] - vX_[2666] * vX_[463] -
+ vX_[2609] * vX_[459] - vX_[4988] - vX_[4566];
+ vX_[2666] = 0 - vX_[4566];
+ vX_[5265] = vX_[2040] * vX_[395] + vX_[1611] * vX_[398];
+ vX_[4739] = 0 - vX_[2609];
+ vX_[1451] = vX_[5265] + vX_[4739] * vX_[403];
+ vX_[5007] = vX_[2040] * vX_[397] + vX_[1611] * vX_[395];
+ vX_[4558] = vX_[5007] + vX_[2609] * vX_[400];
+ vX_[5000] = 0 - (vX_[825] + vX_[5000] * vX_[440] + vX_[1351] * vX_[435] * 2. + vX_[5268] * vX_[2078]) + vX_[2040];
+ vX_[825] = vX_[5032] * vX_[397] + vX_[1998] * vX_[395];
+ vX_[1351] = 0 - vX_[4994];
+ jac[314] =
+ (0.0168251785646079 * vX_[1687] + vX_[5272] * vX_[4110] + vX_[5269] * vX_[47] + vX_[39] * vX_[445] +
+ vX_[5002] * 0.00185880198235362 + vX_[5034] * -7.4114911576828e-06 + vX_[2040] * vX_[414] +
+ vX_[1656] * vX_[399] + vX_[5267] * vX_[423] + (vX_[1355] * vX_[398] + vX_[5267] * vX_[395]) * 8.81e-05 +
+ vX_[4991] * vX_[409] + vX_[1346] * vX_[456] + vX_[4996] * vX_[405] + vX_[2812] * vX_[401] +
+ vX_[5032] * vX_[455] + vX_[1998] * vX_[454] + vX_[989] * vX_[1145] + vX_[24] * vX_[43] -
+ (-4.21975478400367 * vX_[4174] + vX_[5273] * vX_[1734] + vX_[1035] * vX_[916]) +
+ (0.0168251785646079 * vX_[2911] + vX_[5274] * vX_[4110] + vX_[2609] * vX_[411] + vX_[2666] * vX_[412] +
+ vX_[1451] * 0.00185880198235362 + vX_[4558] * 0.880992588508842 +
+ (0 - (vX_[4991] * vX_[395] + vX_[5000] * vX_[398] + vX_[5007] + vX_[825] * vX_[403] +
+ vX_[2666] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[2812] * vX_[397] + vX_[4996] * vX_[395]) +
+ (vX_[4996] * vX_[395] + vX_[4994] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[825]) * -0.1104774 + (0 - vX_[4566]) * 0.000881 + vX_[989] * vX_[1233]) *
+ 0.35 -
+ (vX_[5279] * vX_[1955] + vX_[2091] * vX_[446] + vX_[1611] * vX_[410] + vX_[1355] * vX_[422] +
+ vX_[5003] * vX_[396] + (vX_[1656] * vX_[397] + vX_[5003] * vX_[395]) * -8.81e-05 +
+ vX_[5000] * vX_[413] + vX_[4994] * vX_[402] + vX_[2858] * vX_[457] + vX_[4996] * vX_[404] +
+ vX_[1142] * vX_[15])) *
+ vX_[3657] -
+ (-4.21975478400367 * vX_[1687] + 0.0168251785646079 * vX_[4174] + vX_[5272] * vX_[1734] +
+ vX_[5273] * vX_[4110] + vX_[5269] * vX_[1955] + vX_[5279] * vX_[47] + vX_[39] * vX_[446] +
+ vX_[2091] * vX_[445] + vX_[5002] * -0.466187537174287 + vX_[5034] * 0.00185880198235362 +
+ vX_[2040] * vX_[410] + vX_[1611] * vX_[414] + vX_[1355] * vX_[423] + vX_[1656] * vX_[396] +
+ vX_[5267] * vX_[422] + vX_[5003] * vX_[399] + (vX_[1355] * vX_[395] + vX_[5267] * vX_[397]) * -8.81e-05 +
+ (vX_[1656] * vX_[395] + vX_[5003] * vX_[398]) * 8.81e-05 + vX_[4991] * vX_[413] + vX_[5000] * vX_[409] +
+ vX_[1346] * vX_[457] + vX_[4996] * vX_[402] + vX_[4994] * vX_[405] + vX_[2858] * vX_[456] +
+ vX_[1351] * vX_[404] + vX_[4996] * vX_[401] + vX_[5032] * vX_[453] + vX_[1998] * vX_[455] +
+ (vX_[825] * vX_[412] + vX_[4739] * vX_[407] + vX_[4988] * vX_[408] + (0 - vX_[1451]) * 0.414812462825713 +
+ (0 - (vX_[4991] * vX_[397] + vX_[5000] * vX_[395]) + vX_[5265] + vX_[4988] * vX_[403]) * 0.881 +
+ (0 - vX_[4558]) * 0.00185880198235362 +
+ (0 - (vX_[1351] * vX_[395] + vX_[4996] * vX_[398] +
+ (vX_[4996] * vX_[397] + vX_[4994] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[825] * 0.0004405 + vX_[4988] * -0.2209548) *
+ -0.35 +
+ vX_[1035] * vX_[1145] + vX_[989] * vX_[916] + vX_[1142] * vX_[43] + vX_[24] * vX_[15] +
+ (-4.21975478400367 * vX_[2911] + vX_[5274] * vX_[1734] + vX_[1035] * vX_[1233]) * 0.35 +
+ vX_[5316] * vX_[1942] + vX_[4107] * vX_[1709] + vX_[5319] * vX_[1954] + vX_[5288] * vX_[1722] +
+ vX_[5304] * vX_[1898] + vX_[5292] * vX_[1738] + vX_[4027] * vX_[1703] + vX_[5295] * vX_[421] +
+ vX_[5320] * vX_[1962] + vX_[5290] * vX_[1731] + vX_[1299] * vX_[1903] + vX_[2] * vX_[1736] +
+ vX_[4076] * vX_[1916] + vX_[4109] * vX_[394] + vX_[4857] * vX_[1759] + vX_[4073] * vX_[1909] +
+ vX_[1663] * vX_[1746] + vX_[4126] * vX_[1806] + vX_[3831] * vX_[1825] + vX_[4998] * vX_[1801] +
+ vX_[5287] * vX_[1844] + vX_[4889] * vX_[1832] + vX_[4056] * vX_[1836] + vX_[3981] * vX_[1798] +
+ vX_[3979] * vX_[1784] + vX_[1928] * vX_[1792] + vX_[5263] * vX_[1817] + vX_[5260] * vX_[1820] +
+ vX_[4101] * vX_[1880] + vX_[3837] * vX_[1825] + vX_[1665] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[5282] * vX_[1701] + vX_[5317] * vX_[1944] + vX_[5302] * vX_[1891] + vX_[5319] * vX_[1951] +
+ vX_[5288] * vX_[1719] + vX_[5304] * vX_[1896] + vX_[5270] * vX_[1736] + vX_[5308] * vX_[1914] +
+ vX_[5301] * vX_[394] + vX_[5320] * vX_[1959] + vX_[5290] * vX_[1728] + vX_[5305] * vX_[1902] +
+ vX_[5293] * vX_[1741] + vX_[5309] * vX_[1703] + vX_[5296] * vX_[1751] + vX_[5310] * vX_[1757] +
+ vX_[5306] * vX_[1907] + vX_[5321] * vX_[1745] + vX_[4136] * vX_[1804] + vX_[4065] * vX_[1823] +
+ vX_[4369] * vX_[1800] + vX_[5287] * vX_[1842] + vX_[4889] * vX_[1833] + vX_[4056] * vX_[1838] +
+ vX_[3981] * vX_[1796] + vX_[3979] * vX_[1786] + vX_[1044] * vX_[1790] + vX_[4494] * vX_[1816] +
+ vX_[5262] * vX_[1819] + vX_[5393] * vX_[1878] + vX_[3906] * vX_[1868] + vX_[5322] * vX_[1873]) *
+ vX_[1694];
+ vX_[2922] = vX_[3510] + vX_[3702] * vX_[421] + vX_[2922] * vX_[435] + vX_[5691] * vX_[1904];
+ vX_[3581] = vX_[3510] + vX_[5453] * vX_[394] + vX_[3581] * vX_[440] + vX_[5692] * vX_[1963];
+ vX_[3510] = vX_[2922] - vX_[3581];
+ vX_[3705] = vX_[3702] * vX_[394] + vX_[5453] * vX_[421] + vX_[3288] * vX_[440] + vX_[3705] * vX_[435] +
+ vX_[5691] * vX_[1963] + vX_[5692] * vX_[1904];
+ vX_[3288] = vX_[3510] * vX_[395] + vX_[3705] * vX_[398];
+ vX_[5453] = vX_[3510] * vX_[397] + vX_[3705] * vX_[395];
+ vX_[2922] = 0 - vX_[2922];
+ vX_[3702] = 0 - vX_[3705];
+ vX_[3734] = vX_[3660] * vX_[421] + vX_[5451] * vX_[433] + vX_[3734] * vX_[435] + vX_[5691] * vX_[2078] +
+ vX_[5688] * vX_[1904];
+ vX_[1351] = 0 - vX_[3734];
+ vX_[5681] = vX_[3660] * vX_[394] + vX_[5451] * vX_[421] + vX_[5681] * vX_[435] + vX_[5691] * vX_[4138] +
+ vX_[5698] * vX_[1904];
+ vX_[5451] = 0 - vX_[5681];
+ vX_[3660] =
+ (vX_[2922] * vX_[428] + vX_[3702] * vX_[416] + vX_[1351] * vX_[424] + vX_[5451] * vX_[406]) * 1 / vX_[418];
+ vX_[2922] = vX_[5694] * vX_[1947] + vX_[2922] * vX_[429] + vX_[3660];
+ vX_[5686] = vX_[918] * vX_[421] + vX_[3740] * vX_[433] + vX_[5686] * vX_[440] + vX_[5692] * vX_[2078] +
+ vX_[5688] * vX_[1963];
+ vX_[3581] = 0 - vX_[3581];
+ vX_[825] = 0 - vX_[5686];
+ vX_[5682] = vX_[918] * vX_[394] + vX_[3740] * vX_[421] + vX_[5682] * vX_[440] + vX_[5692] * vX_[4138] +
+ vX_[5698] * vX_[1963];
+ vX_[3740] = 0 - vX_[5682];
+ vX_[918] = (vX_[3581] * vX_[416] + vX_[825] * vX_[424] + vX_[3740] * vX_[406]) * 1 / vX_[418];
+ vX_[3581] = vX_[5695] * vX_[1947] + vX_[3702] * vX_[429] + vX_[3581] * vX_[419] + vX_[918];
+ vX_[1307] = vX_[3722] + vX_[2033] * vX_[435] + vX_[1307] * vX_[440] * 2. + vX_[5687] * vX_[4138] - vX_[3581];
+ vX_[3722] = vX_[3709] + vX_[5688] * vX_[2078];
+ vX_[5684] = vX_[5684] + vX_[5698] * vX_[4138];
+ vX_[3702] = vX_[3722] - vX_[5684];
+ vX_[5000] = 0 - vX_[3722];
+ vX_[2033] = vX_[2033] + vX_[5688] * vX_[4138] + vX_[5698] * vX_[2078];
+ vX_[4558] = 0 - vX_[2033];
+ vX_[5007] = (vX_[5000] * vX_[424] + vX_[4558] * vX_[406]) * 1 / vX_[418];
+ vX_[5000] = vX_[5697] * vX_[1947] + vX_[1351] * vX_[429] + vX_[825] * vX_[419] + vX_[5000] * vX_[463] + vX_[5007];
+ vX_[825] = 0 - vX_[5684];
+ vX_[1351] = vX_[825] * vX_[406] * 1 / vX_[418];
+ vX_[825] = vX_[5699] * vX_[1947] + vX_[5451] * vX_[429] + vX_[3740] * vX_[419] + vX_[4558] * vX_[463] +
+ vX_[825] * vX_[459] + vX_[1351];
+ vX_[4558] = 0 - vX_[825];
+ vX_[3740] = vX_[3702] * vX_[395] + vX_[2033] * vX_[398];
+ vX_[5451] = vX_[3702] * vX_[397] + vX_[2033] * vX_[395];
+ vX_[1451] = vX_[5684] + vX_[3740] * vX_[395];
+ vX_[4739] = vX_[5684] + vX_[5451] * vX_[397];
+ vX_[1351] = vX_[3722] + vX_[5684] + 0 - vX_[5694] * vX_[3731] - vX_[5695] * vX_[1120] - vX_[5696] * vX_[1747] +
+ vX_[5696] * vX_[1947] - vX_[5697] * vX_[1899] - vX_[5699] * vX_[1704] - vX_[3660] * vX_[429] -
+ vX_[918] * vX_[419] - vX_[5007] * vX_[463] - vX_[1351] * vX_[459] - vX_[1451] - vX_[4739];
+ vX_[5007] = 0 - vX_[4739];
+ vX_[5684] = vX_[2922] * vX_[395] + vX_[3581] * vX_[398];
+ vX_[3722] = 0 - vX_[1351];
+ vX_[918] = vX_[5684] + vX_[3722] * vX_[403];
+ vX_[3660] = vX_[2922] * vX_[397] + vX_[3581] * vX_[395];
+ vX_[5699] = vX_[3660] + vX_[1351] * vX_[400];
+ vX_[4999] = 0 - (vX_[998] + vX_[4999] * vX_[440] + vX_[3709] * vX_[435] * 2. + vX_[5687] * vX_[2078]) + vX_[2922];
+ vX_[998] = vX_[3740] * vX_[397] + vX_[5451] * vX_[395];
+ vX_[3709] = 0 - vX_[825];
+ jac[315] =
+ (vX_[5691] * vX_[4110] + vX_[5688] * vX_[47] + vX_[3510] * vX_[445] + vX_[3288] * 0.00185880198235362 +
+ vX_[5453] * -7.4114911576828e-06 + vX_[2922] * vX_[414] + vX_[5681] * vX_[399] + vX_[3734] * vX_[423] +
+ (vX_[5686] * vX_[398] + vX_[3734] * vX_[395]) * 8.81e-05 + vX_[1307] * vX_[409] + vX_[3702] * vX_[456] +
+ vX_[5000] * vX_[405] + vX_[4558] * vX_[401] + vX_[3740] * vX_[455] + vX_[5451] * vX_[454] +
+ vX_[3684] * vX_[1145] + vX_[3671] * vX_[43] - (vX_[5692] * vX_[1734] + vX_[3701] * vX_[916]) +
+ (vX_[5693] * vX_[4110] + vX_[1351] * vX_[411] + vX_[5007] * vX_[412] + vX_[918] * 0.00185880198235362 +
+ vX_[5699] * 0.880992588508842 +
+ (0 - (vX_[1307] * vX_[395] + vX_[4999] * vX_[398] + vX_[3660] + vX_[998] * vX_[403] +
+ vX_[5007] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[4558] * vX_[397] + vX_[5000] * vX_[395]) +
+ (vX_[5000] * vX_[395] + vX_[825] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[998]) * -0.1104774 + (0 - vX_[4739]) * 0.000881 + vX_[3684] * vX_[1233]) *
+ 0.35 -
+ (vX_[5698] * vX_[1955] + vX_[3705] * vX_[446] + vX_[3581] * vX_[410] + vX_[5686] * vX_[422] +
+ vX_[5682] * vX_[396] + (vX_[5681] * vX_[397] + vX_[5682] * vX_[395]) * -8.81e-05 +
+ vX_[4999] * vX_[413] + vX_[825] * vX_[402] + vX_[2033] * vX_[457] + vX_[5000] * vX_[404] +
+ vX_[3346] * vX_[15])) *
+ vX_[3657] -
+ (vX_[5691] * vX_[1734] + vX_[5692] * vX_[4110] + vX_[5688] * vX_[1955] + vX_[5698] * vX_[47] +
+ vX_[3510] * vX_[446] + vX_[3705] * vX_[445] + vX_[3288] * -0.466187537174287 +
+ vX_[5453] * 0.00185880198235362 + vX_[2922] * vX_[410] + vX_[3581] * vX_[414] + vX_[5686] * vX_[423] +
+ vX_[5681] * vX_[396] + vX_[3734] * vX_[422] + vX_[5682] * vX_[399] +
+ (vX_[5686] * vX_[395] + vX_[3734] * vX_[397]) * -8.81e-05 +
+ (vX_[5681] * vX_[395] + vX_[5682] * vX_[398]) * 8.81e-05 + vX_[1307] * vX_[413] + vX_[4999] * vX_[409] +
+ vX_[3702] * vX_[457] + vX_[5000] * vX_[402] + vX_[825] * vX_[405] + vX_[2033] * vX_[456] +
+ vX_[3709] * vX_[404] + vX_[5000] * vX_[401] + vX_[3740] * vX_[453] + vX_[5451] * vX_[455] +
+ (vX_[998] * vX_[412] + vX_[3722] * vX_[407] + vX_[1451] * vX_[408] + (0 - vX_[918]) * 0.414812462825713 +
+ (0 - (vX_[1307] * vX_[397] + vX_[4999] * vX_[395]) + vX_[5684] + vX_[1451] * vX_[403]) * 0.881 +
+ (0 - vX_[5699]) * 0.00185880198235362 +
+ (0 -
+ (vX_[3709] * vX_[395] + vX_[5000] * vX_[398] + (vX_[5000] * vX_[397] + vX_[825] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[998] * 0.0004405 + vX_[1451] * -0.2209548) *
+ -0.35 +
+ vX_[3701] * vX_[1145] + vX_[3684] * vX_[916] + vX_[3346] * vX_[43] + vX_[3671] * vX_[15] +
+ (vX_[5693] * vX_[1734] + vX_[3701] * vX_[1233]) * 0.35 + vX_[5735] * vX_[1942] + vX_[3257] * vX_[1709] +
+ vX_[5738] * vX_[1954] + vX_[5707] * vX_[1722] + vX_[5723] * vX_[1898] + vX_[5711] * vX_[1738] +
+ vX_[3179] * vX_[1703] + vX_[5714] * vX_[421] + vX_[5739] * vX_[1962] + vX_[5709] * vX_[1731] +
+ vX_[3715] * vX_[1903] + vX_[3437] * vX_[1736] + vX_[3254] * vX_[1916] + vX_[5450] * vX_[394] +
+ vX_[5286] * vX_[1759] + vX_[3175] * vX_[1909] + vX_[5259] * vX_[1746] + vX_[3305] * vX_[1806] +
+ vX_[1773] * vX_[1825] + vX_[1999] * vX_[1801] + vX_[5706] * vX_[1844] + vX_[5318] * vX_[1832] +
+ vX_[3033] * vX_[1836] + vX_[3035] * vX_[1798] + vX_[2938] * vX_[1784] + vX_[3317] * vX_[1792] +
+ vX_[3508] * vX_[1817] + vX_[4984] * vX_[1820] + vX_[3292] * vX_[1880] + vX_[1572] * vX_[1825] +
+ vX_[4105] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[5701] * vX_[1701] + vX_[5736] * vX_[1944] + vX_[5721] * vX_[1891] + vX_[5738] * vX_[1951] +
+ vX_[5707] * vX_[1719] + vX_[5723] * vX_[1896] + vX_[5689] * vX_[1736] + vX_[5727] * vX_[1914] +
+ vX_[5720] * vX_[394] + vX_[5739] * vX_[1959] + vX_[5709] * vX_[1728] + vX_[5724] * vX_[1902] +
+ vX_[5712] * vX_[1741] + vX_[5728] * vX_[1703] + vX_[5715] * vX_[1751] + vX_[5729] * vX_[1757] +
+ vX_[5725] * vX_[1907] + vX_[5740] * vX_[1745] + vX_[3303] * vX_[1804] + vX_[3102] * vX_[1823] +
+ vX_[5679] * vX_[1800] + vX_[5706] * vX_[1842] + vX_[5318] * vX_[1833] + vX_[3033] * vX_[1838] +
+ vX_[3035] * vX_[1796] + vX_[2938] * vX_[1786] + vX_[3711] * vX_[1790] + vX_[5678] * vX_[1816] +
+ vX_[3512] * vX_[1819] + vX_[5812] * vX_[1878] + vX_[1875] * vX_[1868] + vX_[5741] * vX_[1873]) *
+ vX_[1694];
+ vX_[1461] = vX_[8727] + vX_[8793] * vX_[421] + vX_[1461] * vX_[435] + vX_[6120] * vX_[1904];
+ vX_[8738] = vX_[8727] + vX_[5882] * vX_[394] + vX_[8738] * vX_[440] + vX_[6121] * vX_[1963];
+ vX_[8727] = vX_[1461] - vX_[8738];
+ vX_[8810] = vX_[8793] * vX_[394] + vX_[5882] * vX_[421] + vX_[8322] * vX_[440] + vX_[8810] * vX_[435] +
+ vX_[6120] * vX_[1963] + vX_[6121] * vX_[1904];
+ vX_[8322] = vX_[8727] * vX_[395] + vX_[8810] * vX_[398];
+ vX_[5882] = vX_[8727] * vX_[397] + vX_[8810] * vX_[395];
+ vX_[1461] = 0 - vX_[1461];
+ vX_[8793] = 0 - vX_[8810];
+ vX_[8997] = vX_[8730] * vX_[421] + vX_[5880] * vX_[433] + vX_[8997] * vX_[435] + vX_[6120] * vX_[2078] +
+ vX_[6117] * vX_[1904];
+ vX_[3709] = 0 - vX_[8997];
+ vX_[6110] = vX_[8730] * vX_[394] + vX_[5880] * vX_[421] + vX_[6110] * vX_[435] + vX_[6120] * vX_[4138] +
+ vX_[6127] * vX_[1904];
+ vX_[5880] = 0 - vX_[6110];
+ vX_[8730] =
+ (vX_[1461] * vX_[428] + vX_[8793] * vX_[416] + vX_[3709] * vX_[424] + vX_[5880] * vX_[406]) * 1 / vX_[418];
+ vX_[1461] = vX_[6123] * vX_[1947] + vX_[1461] * vX_[429] + vX_[8730];
+ vX_[6115] = vX_[9125] * vX_[421] + vX_[9001] * vX_[433] + vX_[6115] * vX_[440] + vX_[6121] * vX_[2078] +
+ vX_[6117] * vX_[1963];
+ vX_[8738] = 0 - vX_[8738];
+ vX_[998] = 0 - vX_[6115];
+ vX_[6111] = vX_[9125] * vX_[394] + vX_[9001] * vX_[421] + vX_[6111] * vX_[440] + vX_[6121] * vX_[4138] +
+ vX_[6127] * vX_[1963];
+ vX_[9001] = 0 - vX_[6111];
+ vX_[9125] = (vX_[8738] * vX_[416] + vX_[998] * vX_[424] + vX_[9001] * vX_[406]) * 1 / vX_[418];
+ vX_[8738] = vX_[6124] * vX_[1947] + vX_[8793] * vX_[429] + vX_[8738] * vX_[419] + vX_[9125];
+ vX_[987] = vX_[8933] + vX_[2918] * vX_[435] + vX_[987] * vX_[440] * 2. + vX_[6116] * vX_[4138] - vX_[8738];
+ vX_[8933] = vX_[8801] + vX_[6117] * vX_[2078];
+ vX_[6113] = vX_[6113] + vX_[6127] * vX_[4138];
+ vX_[8793] = vX_[8933] - vX_[6113];
+ vX_[4999] = 0 - vX_[8933];
+ vX_[2918] = vX_[2918] + vX_[6117] * vX_[4138] + vX_[6127] * vX_[2078];
+ vX_[5699] = 0 - vX_[2918];
+ vX_[3660] = (vX_[4999] * vX_[424] + vX_[5699] * vX_[406]) * 1 / vX_[418];
+ vX_[4999] = vX_[6126] * vX_[1947] + vX_[3709] * vX_[429] + vX_[998] * vX_[419] + vX_[4999] * vX_[463] + vX_[3660];
+ vX_[998] = 0 - vX_[6113];
+ vX_[3709] = vX_[998] * vX_[406] * 1 / vX_[418];
+ vX_[998] = vX_[6128] * vX_[1947] + vX_[5880] * vX_[429] + vX_[9001] * vX_[419] + vX_[5699] * vX_[463] +
+ vX_[998] * vX_[459] + vX_[3709];
+ vX_[5699] = 0 - vX_[998];
+ vX_[9001] = vX_[8793] * vX_[395] + vX_[2918] * vX_[398];
+ vX_[5880] = vX_[8793] * vX_[397] + vX_[2918] * vX_[395];
+ vX_[918] = vX_[6113] + vX_[9001] * vX_[395];
+ vX_[3722] = vX_[6113] + vX_[5880] * vX_[397];
+ vX_[3709] = vX_[8933] + vX_[6113] + 0 - vX_[6123] * vX_[3731] - vX_[6124] * vX_[1120] - vX_[6125] * vX_[1747] +
+ vX_[6125] * vX_[1947] - vX_[6126] * vX_[1899] - vX_[6128] * vX_[1704] - vX_[8730] * vX_[429] -
+ vX_[9125] * vX_[419] - vX_[3660] * vX_[463] - vX_[3709] * vX_[459] - vX_[918] - vX_[3722];
+ vX_[3660] = 0 - vX_[3722];
+ vX_[6113] = vX_[1461] * vX_[395] + vX_[8738] * vX_[398];
+ vX_[8933] = 0 - vX_[3709];
+ vX_[9125] = vX_[6113] + vX_[8933] * vX_[403];
+ vX_[8730] = vX_[1461] * vX_[397] + vX_[8738] * vX_[395];
+ vX_[6128] = vX_[8730] + vX_[3709] * vX_[400];
+ vX_[1491] = 0 - (vX_[9123] + vX_[1491] * vX_[440] + vX_[8801] * vX_[435] * 2. + vX_[6116] * vX_[2078]) + vX_[1461];
+ vX_[9123] = vX_[9001] * vX_[397] + vX_[5880] * vX_[395];
+ vX_[8801] = 0 - vX_[998];
+ jac[316] =
+ (vX_[6120] * vX_[4110] + vX_[6117] * vX_[47] + vX_[8727] * vX_[445] + vX_[8322] * 0.00185880198235362 +
+ vX_[5882] * -7.4114911576828e-06 + vX_[1461] * vX_[414] + vX_[6110] * vX_[399] + vX_[8997] * vX_[423] +
+ (vX_[6115] * vX_[398] + vX_[8997] * vX_[395]) * 8.81e-05 + vX_[987] * vX_[409] + vX_[8793] * vX_[456] +
+ vX_[4999] * vX_[405] + vX_[5699] * vX_[401] + vX_[9001] * vX_[455] + vX_[5880] * vX_[454] +
+ vX_[8789] * vX_[1145] + vX_[8765] * vX_[43] - (vX_[6121] * vX_[1734] + vX_[8799] * vX_[916]) +
+ (vX_[6122] * vX_[4110] + vX_[3709] * vX_[411] + vX_[3660] * vX_[412] + vX_[9125] * 0.00185880198235362 +
+ vX_[6128] * 0.880992588508842 +
+ (0 - (vX_[987] * vX_[395] + vX_[1491] * vX_[398] + vX_[8730] + vX_[9123] * vX_[403] +
+ vX_[3660] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[5699] * vX_[397] + vX_[4999] * vX_[395]) +
+ (vX_[4999] * vX_[395] + vX_[998] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[9123]) * -0.1104774 + (0 - vX_[3722]) * 0.000881 + vX_[8789] * vX_[1233]) *
+ 0.35 -
+ (vX_[6127] * vX_[1955] + vX_[8810] * vX_[446] + vX_[8738] * vX_[410] + vX_[6115] * vX_[422] +
+ vX_[6111] * vX_[396] + (vX_[6110] * vX_[397] + vX_[6111] * vX_[395]) * -8.81e-05 +
+ vX_[1491] * vX_[413] + vX_[998] * vX_[402] + vX_[2918] * vX_[457] + vX_[4999] * vX_[404] +
+ vX_[8650] * vX_[15])) *
+ vX_[3657] -
+ (vX_[6120] * vX_[1734] + vX_[6121] * vX_[4110] + vX_[6117] * vX_[1955] + vX_[6127] * vX_[47] +
+ vX_[8727] * vX_[446] + vX_[8810] * vX_[445] + vX_[8322] * -0.466187537174287 +
+ vX_[5882] * 0.00185880198235362 + vX_[1461] * vX_[410] + vX_[8738] * vX_[414] + vX_[6115] * vX_[423] +
+ vX_[6110] * vX_[396] + vX_[8997] * vX_[422] + vX_[6111] * vX_[399] +
+ (vX_[6115] * vX_[395] + vX_[8997] * vX_[397]) * -8.81e-05 +
+ (vX_[6110] * vX_[395] + vX_[6111] * vX_[398]) * 8.81e-05 + vX_[987] * vX_[413] + vX_[1491] * vX_[409] +
+ vX_[8793] * vX_[457] + vX_[4999] * vX_[402] + vX_[998] * vX_[405] + vX_[2918] * vX_[456] +
+ vX_[8801] * vX_[404] + vX_[4999] * vX_[401] + vX_[9001] * vX_[453] + vX_[5880] * vX_[455] +
+ (vX_[9123] * vX_[412] + vX_[8933] * vX_[407] + vX_[918] * vX_[408] + (0 - vX_[9125]) * 0.414812462825713 +
+ (0 - (vX_[987] * vX_[397] + vX_[1491] * vX_[395]) + vX_[6113] + vX_[918] * vX_[403]) * 0.881 +
+ (0 - vX_[6128]) * 0.00185880198235362 +
+ (0 -
+ (vX_[8801] * vX_[395] + vX_[4999] * vX_[398] + (vX_[4999] * vX_[397] + vX_[998] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[9123] * 0.0004405 + vX_[918] * -0.2209548) *
+ -0.35 +
+ vX_[8799] * vX_[1145] + vX_[8789] * vX_[916] + vX_[8650] * vX_[43] + vX_[8765] * vX_[15] +
+ (vX_[6122] * vX_[1734] + vX_[8799] * vX_[1233]) * 0.35 + vX_[6164] * vX_[1942] + vX_[8330] * vX_[1709] +
+ vX_[6167] * vX_[1954] + vX_[6136] * vX_[1722] + vX_[6152] * vX_[1898] + vX_[6140] * vX_[1738] +
+ vX_[8307] * vX_[1703] + vX_[6143] * vX_[421] + vX_[6168] * vX_[1962] + vX_[6138] * vX_[1731] +
+ vX_[8797] * vX_[1903] + vX_[8654] * vX_[1736] + vX_[8305] * vX_[1916] + vX_[5879] * vX_[394] +
+ vX_[5705] * vX_[1759] + vX_[8296] * vX_[1909] + vX_[3719] * vX_[1746] + vX_[8340] * vX_[1806] +
+ vX_[7942] * vX_[1825] + vX_[1147] * vX_[1801] + vX_[6135] * vX_[1844] + vX_[5737] * vX_[1832] +
+ vX_[8221] * vX_[1836] + vX_[8146] * vX_[1798] + vX_[8077] * vX_[1784] + vX_[8502] * vX_[1792] +
+ vX_[8725] * vX_[1817] + vX_[1560] * vX_[1820] + vX_[8353] * vX_[1880] + vX_[7959] * vX_[1825] +
+ vX_[3284] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[6130] * vX_[1701] + vX_[6165] * vX_[1944] + vX_[6150] * vX_[1891] + vX_[6167] * vX_[1951] +
+ vX_[6136] * vX_[1719] + vX_[6152] * vX_[1896] + vX_[6118] * vX_[1736] + vX_[6156] * vX_[1914] +
+ vX_[6149] * vX_[394] + vX_[6168] * vX_[1959] + vX_[6138] * vX_[1728] + vX_[6153] * vX_[1902] +
+ vX_[6141] * vX_[1741] + vX_[6157] * vX_[1703] + vX_[6144] * vX_[1751] + vX_[6158] * vX_[1757] +
+ vX_[6154] * vX_[1907] + vX_[6169] * vX_[1745] + vX_[8360] * vX_[1804] + vX_[8223] * vX_[1823] +
+ vX_[6108] * vX_[1800] + vX_[6135] * vX_[1842] + vX_[5737] * vX_[1833] + vX_[8221] * vX_[1838] +
+ vX_[8146] * vX_[1796] + vX_[8077] * vX_[1786] + vX_[8803] * vX_[1790] + vX_[6107] * vX_[1816] +
+ vX_[8736] * vX_[1819] + vX_[6241] * vX_[1878] + vX_[7962] * vX_[1868] + vX_[6170] * vX_[1873]) *
+ vX_[1694];
+ vX_[7921] = vX_[7450] + vX_[7656] * vX_[421] + vX_[7921] * vX_[435] + vX_[6549] * vX_[1904];
+ vX_[7423] = vX_[7450] + vX_[6311] * vX_[394] + vX_[7423] * vX_[440] + vX_[6550] * vX_[1963];
+ vX_[7450] = vX_[7921] - vX_[7423];
+ vX_[7660] = vX_[7656] * vX_[394] + vX_[6311] * vX_[421] + vX_[7076] * vX_[440] + vX_[7660] * vX_[435] +
+ vX_[6549] * vX_[1963] + vX_[6550] * vX_[1904];
+ vX_[7076] = vX_[7450] * vX_[395] + vX_[7660] * vX_[398];
+ vX_[6311] = vX_[7450] * vX_[397] + vX_[7660] * vX_[395];
+ vX_[7921] = 0 - vX_[7921];
+ vX_[7656] = 0 - vX_[7660];
+ vX_[7727] = vX_[7482] * vX_[421] + vX_[6309] * vX_[433] + vX_[7727] * vX_[435] + vX_[6549] * vX_[2078] +
+ vX_[6546] * vX_[1904];
+ vX_[8801] = 0 - vX_[7727];
+ vX_[6539] = vX_[7482] * vX_[394] + vX_[6309] * vX_[421] + vX_[6539] * vX_[435] + vX_[6549] * vX_[4138] +
+ vX_[6556] * vX_[1904];
+ vX_[6309] = 0 - vX_[6539];
+ vX_[7482] =
+ (vX_[7921] * vX_[428] + vX_[7656] * vX_[416] + vX_[8801] * vX_[424] + vX_[6309] * vX_[406]) * 1 / vX_[418];
+ vX_[7921] = vX_[6552] * vX_[1947] + vX_[7921] * vX_[429] + vX_[7482];
+ vX_[6544] = vX_[7873] * vX_[421] + vX_[7731] * vX_[433] + vX_[6544] * vX_[440] + vX_[6550] * vX_[2078] +
+ vX_[6546] * vX_[1963];
+ vX_[7423] = 0 - vX_[7423];
+ vX_[9123] = 0 - vX_[6544];
+ vX_[6540] = vX_[7873] * vX_[394] + vX_[7731] * vX_[421] + vX_[6540] * vX_[440] + vX_[6550] * vX_[4138] +
+ vX_[6556] * vX_[1963];
+ vX_[7731] = 0 - vX_[6540];
+ vX_[7873] = (vX_[7423] * vX_[416] + vX_[9123] * vX_[424] + vX_[7731] * vX_[406]) * 1 / vX_[418];
+ vX_[7423] = vX_[6553] * vX_[1947] + vX_[7656] * vX_[429] + vX_[7423] * vX_[419] + vX_[7873];
+ vX_[7882] = vX_[7654] + vX_[1260] * vX_[435] + vX_[7882] * vX_[440] * 2. + vX_[6545] * vX_[4138] - vX_[7423];
+ vX_[7654] = vX_[7515] + vX_[6546] * vX_[2078];
+ vX_[6542] = vX_[6542] + vX_[6556] * vX_[4138];
+ vX_[7656] = vX_[7654] - vX_[6542];
+ vX_[1491] = 0 - vX_[7654];
+ vX_[1260] = vX_[1260] + vX_[6546] * vX_[4138] + vX_[6556] * vX_[2078];
+ vX_[6128] = 0 - vX_[1260];
+ vX_[8730] = (vX_[1491] * vX_[424] + vX_[6128] * vX_[406]) * 1 / vX_[418];
+ vX_[1491] = vX_[6555] * vX_[1947] + vX_[8801] * vX_[429] + vX_[9123] * vX_[419] + vX_[1491] * vX_[463] + vX_[8730];
+ vX_[9123] = 0 - vX_[6542];
+ vX_[8801] = vX_[9123] * vX_[406] * 1 / vX_[418];
+ vX_[9123] = vX_[6557] * vX_[1947] + vX_[6309] * vX_[429] + vX_[7731] * vX_[419] + vX_[6128] * vX_[463] +
+ vX_[9123] * vX_[459] + vX_[8801];
+ vX_[6128] = 0 - vX_[9123];
+ vX_[7731] = vX_[7656] * vX_[395] + vX_[1260] * vX_[398];
+ vX_[6309] = vX_[7656] * vX_[397] + vX_[1260] * vX_[395];
+ vX_[9125] = vX_[6542] + vX_[7731] * vX_[395];
+ vX_[8933] = vX_[6542] + vX_[6309] * vX_[397];
+ vX_[8801] = vX_[7654] + vX_[6542] + 0 - vX_[6552] * vX_[3731] - vX_[6553] * vX_[1120] - vX_[6554] * vX_[1747] +
+ vX_[6554] * vX_[1947] - vX_[6555] * vX_[1899] - vX_[6557] * vX_[1704] - vX_[7482] * vX_[429] -
+ vX_[7873] * vX_[419] - vX_[8730] * vX_[463] - vX_[8801] * vX_[459] - vX_[9125] - vX_[8933];
+ vX_[8730] = 0 - vX_[8933];
+ vX_[6542] = vX_[7921] * vX_[395] + vX_[7423] * vX_[398];
+ vX_[7654] = 0 - vX_[8801];
+ vX_[7873] = vX_[6542] + vX_[7654] * vX_[403];
+ vX_[7482] = vX_[7921] * vX_[397] + vX_[7423] * vX_[395];
+ vX_[6557] = vX_[7482] + vX_[8801] * vX_[400];
+ vX_[7941] = 0 - (vX_[7888] + vX_[7941] * vX_[440] + vX_[7515] * vX_[435] * 2. + vX_[6545] * vX_[2078]) + vX_[7921];
+ vX_[7888] = vX_[7731] * vX_[397] + vX_[6309] * vX_[395];
+ vX_[7515] = 0 - vX_[9123];
+ jac[317] =
+ (vX_[6549] * vX_[4110] + vX_[6546] * vX_[47] + vX_[7450] * vX_[445] + vX_[7076] * 0.00185880198235362 +
+ vX_[6311] * -7.4114911576828e-06 + vX_[7921] * vX_[414] + vX_[6539] * vX_[399] + vX_[7727] * vX_[423] +
+ (vX_[6544] * vX_[398] + vX_[7727] * vX_[395]) * 8.81e-05 + vX_[7882] * vX_[409] + vX_[7656] * vX_[456] +
+ vX_[1491] * vX_[405] + vX_[6128] * vX_[401] + vX_[7731] * vX_[455] + vX_[6309] * vX_[454] +
+ vX_[7528] * vX_[1145] + vX_[7476] * vX_[43] - (vX_[6550] * vX_[1734] + vX_[7522] * vX_[916]) +
+ (vX_[6551] * vX_[4110] + vX_[8801] * vX_[411] + vX_[8730] * vX_[412] + vX_[7873] * 0.00185880198235362 +
+ vX_[6557] * 0.880992588508842 +
+ (0 - (vX_[7882] * vX_[395] + vX_[7941] * vX_[398] + vX_[7482] + vX_[7888] * vX_[403] +
+ vX_[8730] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[6128] * vX_[397] + vX_[1491] * vX_[395]) +
+ (vX_[1491] * vX_[395] + vX_[9123] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[7888]) * -0.1104774 + (0 - vX_[8933]) * 0.000881 + vX_[7528] * vX_[1233]) *
+ 0.35 -
+ (vX_[6556] * vX_[1955] + vX_[7660] * vX_[446] + vX_[7423] * vX_[410] + vX_[6544] * vX_[422] +
+ vX_[6540] * vX_[396] + (vX_[6539] * vX_[397] + vX_[6540] * vX_[395]) * -8.81e-05 +
+ vX_[7941] * vX_[413] + vX_[9123] * vX_[402] + vX_[1260] * vX_[457] + vX_[1491] * vX_[404] +
+ vX_[7373] * vX_[15])) *
+ vX_[3657] -
+ (vX_[6549] * vX_[1734] + vX_[6550] * vX_[4110] + vX_[6546] * vX_[1955] + vX_[6556] * vX_[47] +
+ vX_[7450] * vX_[446] + vX_[7660] * vX_[445] + vX_[7076] * -0.466187537174287 +
+ vX_[6311] * 0.00185880198235362 + vX_[7921] * vX_[410] + vX_[7423] * vX_[414] + vX_[6544] * vX_[423] +
+ vX_[6539] * vX_[396] + vX_[7727] * vX_[422] + vX_[6540] * vX_[399] +
+ (vX_[6544] * vX_[395] + vX_[7727] * vX_[397]) * -8.81e-05 +
+ (vX_[6539] * vX_[395] + vX_[6540] * vX_[398]) * 8.81e-05 + vX_[7882] * vX_[413] + vX_[7941] * vX_[409] +
+ vX_[7656] * vX_[457] + vX_[1491] * vX_[402] + vX_[9123] * vX_[405] + vX_[1260] * vX_[456] +
+ vX_[7515] * vX_[404] + vX_[1491] * vX_[401] + vX_[7731] * vX_[453] + vX_[6309] * vX_[455] +
+ (vX_[7888] * vX_[412] + vX_[7654] * vX_[407] + vX_[9125] * vX_[408] + (0 - vX_[7873]) * 0.414812462825713 +
+ (0 - (vX_[7882] * vX_[397] + vX_[7941] * vX_[395]) + vX_[6542] + vX_[9125] * vX_[403]) * 0.881 +
+ (0 - vX_[6557]) * 0.00185880198235362 +
+ (0 - (vX_[7515] * vX_[395] + vX_[1491] * vX_[398] +
+ (vX_[1491] * vX_[397] + vX_[9123] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[7888] * 0.0004405 + vX_[9125] * -0.2209548) *
+ -0.35 +
+ vX_[7522] * vX_[1145] + vX_[7528] * vX_[916] + vX_[7373] * vX_[43] + vX_[7476] * vX_[15] +
+ (vX_[6551] * vX_[1734] + vX_[7522] * vX_[1233]) * 0.35 + vX_[6593] * vX_[1942] + vX_[7046] * vX_[1709] +
+ vX_[6596] * vX_[1954] + vX_[6565] * vX_[1722] + vX_[6581] * vX_[1898] + vX_[6569] * vX_[1738] +
+ vX_[7032] * vX_[1703] + vX_[6572] * vX_[421] + vX_[6597] * vX_[1962] + vX_[6567] * vX_[1731] +
+ vX_[7532] * vX_[1903] + vX_[7377] * vX_[1736] + vX_[7042] * vX_[1916] + vX_[6308] * vX_[394] +
+ vX_[6134] * vX_[1759] + vX_[7038] * vX_[1909] + vX_[8790] * vX_[1746] + vX_[7087] * vX_[1806] +
+ vX_[6689] * vX_[1825] + vX_[1970] * vX_[1801] + vX_[6564] * vX_[1844] + vX_[6166] * vX_[1832] +
+ vX_[6946] * vX_[1836] + vX_[6948] * vX_[1798] + vX_[6879] * vX_[1784] + vX_[7302] * vX_[1792] +
+ vX_[7465] * vX_[1817] + vX_[7951] * vX_[1820] + vX_[7078] * vX_[1880] + vX_[6672] * vX_[1825] +
+ vX_[8319] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[6559] * vX_[1701] + vX_[6594] * vX_[1944] + vX_[6579] * vX_[1891] + vX_[6596] * vX_[1951] +
+ vX_[6565] * vX_[1719] + vX_[6581] * vX_[1896] + vX_[6547] * vX_[1736] + vX_[6585] * vX_[1914] +
+ vX_[6578] * vX_[394] + vX_[6597] * vX_[1959] + vX_[6567] * vX_[1728] + vX_[6582] * vX_[1902] +
+ vX_[6570] * vX_[1741] + vX_[6586] * vX_[1703] + vX_[6573] * vX_[1751] + vX_[6587] * vX_[1757] +
+ vX_[6583] * vX_[1907] + vX_[6598] * vX_[1745] + vX_[7101] * vX_[1804] + vX_[7025] * vX_[1823] +
+ vX_[6537] * vX_[1800] + vX_[6564] * vX_[1842] + vX_[6166] * vX_[1833] + vX_[6946] * vX_[1838] +
+ vX_[6948] * vX_[1796] + vX_[6879] * vX_[1786] + vX_[7526] * vX_[1790] + vX_[6536] * vX_[1816] +
+ vX_[7459] * vX_[1819] + vX_[6670] * vX_[1878] + vX_[6806] * vX_[1868] + vX_[6599] * vX_[1873]) *
+ vX_[1694];
+ vX_[6668] = vX_[6190] + vX_[6381] * vX_[421] + vX_[6668] * vX_[435] + vX_[6968] * vX_[1904];
+ vX_[6197] = vX_[6190] + vX_[6730] * vX_[394] + vX_[6197] * vX_[440] + vX_[6969] * vX_[1963];
+ vX_[6190] = vX_[6668] - vX_[6197];
+ vX_[6385] = vX_[6381] * vX_[394] + vX_[6730] * vX_[421] + vX_[5797] * vX_[440] + vX_[6385] * vX_[435] +
+ vX_[6968] * vX_[1963] + vX_[6969] * vX_[1904];
+ vX_[5797] = vX_[6190] * vX_[395] + vX_[6385] * vX_[398];
+ vX_[6730] = vX_[6190] * vX_[397] + vX_[6385] * vX_[395];
+ vX_[6668] = 0 - vX_[6668];
+ vX_[6381] = 0 - vX_[6385];
+ vX_[6529] = vX_[6205] * vX_[421] + vX_[6728] * vX_[433] + vX_[6529] * vX_[435] + vX_[6968] * vX_[2078] +
+ vX_[6965] * vX_[1904];
+ vX_[7515] = 0 - vX_[6529];
+ vX_[6958] = vX_[6205] * vX_[394] + vX_[6728] * vX_[421] + vX_[6958] * vX_[435] + vX_[6968] * vX_[4138] +
+ vX_[6975] * vX_[1904];
+ vX_[6728] = 0 - vX_[6958];
+ vX_[6205] =
+ (vX_[6668] * vX_[428] + vX_[6381] * vX_[416] + vX_[7515] * vX_[424] + vX_[6728] * vX_[406]) * 1 / vX_[418];
+ vX_[6668] = vX_[6971] * vX_[1947] + vX_[6668] * vX_[429] + vX_[6205];
+ vX_[6963] = vX_[6615] * vX_[421] + vX_[6533] * vX_[433] + vX_[6963] * vX_[440] + vX_[6969] * vX_[2078] +
+ vX_[6965] * vX_[1963];
+ vX_[6197] = 0 - vX_[6197];
+ vX_[7888] = 0 - vX_[6963];
+ vX_[6959] = vX_[6615] * vX_[394] + vX_[6533] * vX_[421] + vX_[6959] * vX_[440] + vX_[6969] * vX_[4138] +
+ vX_[6975] * vX_[1963];
+ vX_[6533] = 0 - vX_[6959];
+ vX_[6615] = (vX_[6197] * vX_[416] + vX_[7888] * vX_[424] + vX_[6533] * vX_[406]) * 1 / vX_[418];
+ vX_[6197] = vX_[6972] * vX_[1947] + vX_[6381] * vX_[429] + vX_[6197] * vX_[419] + vX_[6615];
+ vX_[6636] = vX_[6456] + vX_[7938] * vX_[435] + vX_[6636] * vX_[440] * 2. + vX_[6964] * vX_[4138] - vX_[6197];
+ vX_[6456] = vX_[6260] + vX_[6965] * vX_[2078];
+ vX_[6961] = vX_[6961] + vX_[6975] * vX_[4138];
+ vX_[6381] = vX_[6456] - vX_[6961];
+ vX_[7941] = 0 - vX_[6456];
+ vX_[7938] = vX_[7938] + vX_[6965] * vX_[4138] + vX_[6975] * vX_[2078];
+ vX_[6557] = 0 - vX_[7938];
+ vX_[7482] = (vX_[7941] * vX_[424] + vX_[6557] * vX_[406]) * 1 / vX_[418];
+ vX_[7941] = vX_[6974] * vX_[1947] + vX_[7515] * vX_[429] + vX_[7888] * vX_[419] + vX_[7941] * vX_[463] + vX_[7482];
+ vX_[7888] = 0 - vX_[6961];
+ vX_[7515] = vX_[7888] * vX_[406] * 1 / vX_[418];
+ vX_[7888] = vX_[6976] * vX_[1947] + vX_[6728] * vX_[429] + vX_[6533] * vX_[419] + vX_[6557] * vX_[463] +
+ vX_[7888] * vX_[459] + vX_[7515];
+ vX_[6557] = 0 - vX_[7888];
+ vX_[6533] = vX_[6381] * vX_[395] + vX_[7938] * vX_[398];
+ vX_[6728] = vX_[6381] * vX_[397] + vX_[7938] * vX_[395];
+ vX_[7873] = vX_[6961] + vX_[6533] * vX_[395];
+ vX_[7654] = vX_[6961] + vX_[6728] * vX_[397];
+ vX_[7515] = vX_[6456] + vX_[6961] + 0 - vX_[6971] * vX_[3731] - vX_[6972] * vX_[1120] - vX_[6973] * vX_[1747] +
+ vX_[6973] * vX_[1947] - vX_[6974] * vX_[1899] - vX_[6976] * vX_[1704] - vX_[6205] * vX_[429] -
+ vX_[6615] * vX_[419] - vX_[7482] * vX_[463] - vX_[7515] * vX_[459] - vX_[7873] - vX_[7654];
+ vX_[7482] = 0 - vX_[7654];
+ vX_[6961] = vX_[6668] * vX_[395] + vX_[6197] * vX_[398];
+ vX_[6456] = 0 - vX_[7515];
+ vX_[6615] = vX_[6961] + vX_[6456] * vX_[403];
+ vX_[6205] = vX_[6668] * vX_[397] + vX_[6197] * vX_[395];
+ vX_[6976] = vX_[6205] + vX_[7515] * vX_[400];
+ vX_[6682] = 0 - (vX_[6613] + vX_[6682] * vX_[440] + vX_[6260] * vX_[435] * 2. + vX_[6964] * vX_[2078]) + vX_[6668];
+ vX_[6613] = vX_[6533] * vX_[397] + vX_[6728] * vX_[395];
+ vX_[6260] = 0 - vX_[7888];
+ jac[318] =
+ (vX_[6968] * vX_[4110] + vX_[6965] * vX_[47] + vX_[6190] * vX_[445] + vX_[5797] * 0.00185880198235362 +
+ vX_[6730] * -7.4114911576828e-06 + vX_[6668] * vX_[414] + vX_[6958] * vX_[399] + vX_[6529] * vX_[423] +
+ (vX_[6963] * vX_[398] + vX_[6529] * vX_[395]) * 8.81e-05 + vX_[6636] * vX_[409] + vX_[6381] * vX_[456] +
+ vX_[7941] * vX_[405] + vX_[6557] * vX_[401] + vX_[6533] * vX_[455] + vX_[6728] * vX_[454] +
+ vX_[6251] * vX_[1145] + vX_[6228] * vX_[43] - (vX_[6969] * vX_[1734] + vX_[6257] * vX_[916]) +
+ (vX_[6970] * vX_[4110] + vX_[7515] * vX_[411] + vX_[7482] * vX_[412] + vX_[6615] * 0.00185880198235362 +
+ vX_[6976] * 0.880992588508842 +
+ (0 - (vX_[6636] * vX_[395] + vX_[6682] * vX_[398] + vX_[6205] + vX_[6613] * vX_[403] +
+ vX_[7482] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[6557] * vX_[397] + vX_[7941] * vX_[395]) +
+ (vX_[7941] * vX_[395] + vX_[7888] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[6613]) * -0.1104774 + (0 - vX_[7654]) * 0.000881 + vX_[6251] * vX_[1233]) *
+ 0.35 -
+ (vX_[6975] * vX_[1955] + vX_[6385] * vX_[446] + vX_[6197] * vX_[410] + vX_[6963] * vX_[422] +
+ vX_[6959] * vX_[396] + (vX_[6958] * vX_[397] + vX_[6959] * vX_[395]) * -8.81e-05 +
+ vX_[6682] * vX_[413] + vX_[7888] * vX_[402] + vX_[7938] * vX_[457] + vX_[7941] * vX_[404] +
+ vX_[6173] * vX_[15])) *
+ vX_[3657] -
+ (vX_[6968] * vX_[1734] + vX_[6969] * vX_[4110] + vX_[6965] * vX_[1955] + vX_[6975] * vX_[47] +
+ vX_[6190] * vX_[446] + vX_[6385] * vX_[445] + vX_[5797] * -0.466187537174287 +
+ vX_[6730] * 0.00185880198235362 + vX_[6668] * vX_[410] + vX_[6197] * vX_[414] + vX_[6963] * vX_[423] +
+ vX_[6958] * vX_[396] + vX_[6529] * vX_[422] + vX_[6959] * vX_[399] +
+ (vX_[6963] * vX_[395] + vX_[6529] * vX_[397]) * -8.81e-05 +
+ (vX_[6958] * vX_[395] + vX_[6959] * vX_[398]) * 8.81e-05 + vX_[6636] * vX_[413] + vX_[6682] * vX_[409] +
+ vX_[6381] * vX_[457] + vX_[7941] * vX_[402] + vX_[7888] * vX_[405] + vX_[7938] * vX_[456] +
+ vX_[6260] * vX_[404] + vX_[7941] * vX_[401] + vX_[6533] * vX_[453] + vX_[6728] * vX_[455] +
+ (vX_[6613] * vX_[412] + vX_[6456] * vX_[407] + vX_[7873] * vX_[408] + (0 - vX_[6615]) * 0.414812462825713 +
+ (0 - (vX_[6636] * vX_[397] + vX_[6682] * vX_[395]) + vX_[6961] + vX_[7873] * vX_[403]) * 0.881 +
+ (0 - vX_[6976]) * 0.00185880198235362 +
+ (0 - (vX_[6260] * vX_[395] + vX_[7941] * vX_[398] +
+ (vX_[7941] * vX_[397] + vX_[7888] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[6613] * 0.0004405 + vX_[7873] * -0.2209548) *
+ -0.35 +
+ vX_[6257] * vX_[1145] + vX_[6251] * vX_[916] + vX_[6173] * vX_[43] + vX_[6228] * vX_[15] +
+ (vX_[6970] * vX_[1734] + vX_[6257] * vX_[1233]) * 0.35 + vX_[7012] * vX_[1942] + vX_[5789] * vX_[1709] +
+ vX_[7015] * vX_[1954] + vX_[6984] * vX_[1722] + vX_[7000] * vX_[1898] + vX_[6988] * vX_[1738] +
+ vX_[5765] * vX_[1703] + vX_[6991] * vX_[421] + vX_[7016] * vX_[1962] + vX_[6986] * vX_[1731] +
+ vX_[6243] * vX_[1903] + vX_[6177] * vX_[1736] + vX_[5751] * vX_[1916] + vX_[6727] * vX_[394] +
+ vX_[6563] * vX_[1759] + vX_[5759] * vX_[1909] + vX_[7535] * vX_[1746] + vX_[5824] * vX_[1806] +
+ vX_[5529] * vX_[1825] + vX_[7886] * vX_[1801] + vX_[6983] * vX_[1844] + vX_[6595] * vX_[1832] +
+ vX_[5744] * vX_[1836] + vX_[5669] * vX_[1798] + vX_[5600] * vX_[1784] + vX_[6025] * vX_[1792] +
+ vX_[6188] * vX_[1817] + vX_[6676] * vX_[1820] + vX_[5790] * vX_[1880] + vX_[5525] * vX_[1825] +
+ vX_[7066] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[6978] * vX_[1701] + vX_[7013] * vX_[1944] + vX_[6998] * vX_[1891] + vX_[7015] * vX_[1951] +
+ vX_[6984] * vX_[1719] + vX_[7000] * vX_[1896] + vX_[6966] * vX_[1736] + vX_[7004] * vX_[1914] +
+ vX_[6997] * vX_[394] + vX_[7016] * vX_[1959] + vX_[6986] * vX_[1728] + vX_[7001] * vX_[1902] +
+ vX_[6989] * vX_[1741] + vX_[7005] * vX_[1703] + vX_[6992] * vX_[1751] + vX_[7006] * vX_[1757] +
+ vX_[7002] * vX_[1907] + vX_[7017] * vX_[1745] + vX_[5822] * vX_[1804] + vX_[5746] * vX_[1823] +
+ vX_[6956] * vX_[1800] + vX_[6983] * vX_[1842] + vX_[6595] * vX_[1833] + vX_[5744] * vX_[1838] +
+ vX_[5669] * vX_[1796] + vX_[5600] * vX_[1786] + vX_[6240] * vX_[1790] + vX_[6955] * vX_[1816] +
+ vX_[6194] * vX_[1819] + vX_[7089] * vX_[1878] + vX_[5527] * vX_[1868] + vX_[7018] * vX_[1873]) *
+ vX_[1694];
+ vX_[5405] = vX_[4911] + vX_[5179] * vX_[421] + vX_[5405] * vX_[435] + vX_[7395] * vX_[1904];
+ vX_[4934] = vX_[4911] + vX_[7157] * vX_[394] + vX_[4934] * vX_[440] + vX_[7396] * vX_[1963];
+ vX_[4911] = vX_[5405] - vX_[4934];
+ vX_[5183] = vX_[5179] * vX_[394] + vX_[7157] * vX_[421] + vX_[4530] * vX_[440] + vX_[5183] * vX_[435] +
+ vX_[7395] * vX_[1963] + vX_[7396] * vX_[1904];
+ vX_[4530] = vX_[4911] * vX_[395] + vX_[5183] * vX_[398];
+ vX_[7157] = vX_[4911] * vX_[397] + vX_[5183] * vX_[395];
+ vX_[5405] = 0 - vX_[5405];
+ vX_[5179] = 0 - vX_[5183];
+ vX_[5250] = vX_[4938] * vX_[421] + vX_[7155] * vX_[433] + vX_[5250] * vX_[435] + vX_[7395] * vX_[2078] +
+ vX_[7392] * vX_[1904];
+ vX_[6260] = 0 - vX_[5250];
+ vX_[7385] = vX_[4938] * vX_[394] + vX_[7155] * vX_[421] + vX_[7385] * vX_[435] + vX_[7395] * vX_[4138] +
+ vX_[7402] * vX_[1904];
+ vX_[7155] = 0 - vX_[7385];
+ vX_[4938] =
+ (vX_[5405] * vX_[428] + vX_[5179] * vX_[416] + vX_[6260] * vX_[424] + vX_[7155] * vX_[406]) * 1 / vX_[418];
+ vX_[5405] = vX_[7398] * vX_[1947] + vX_[5405] * vX_[429] + vX_[4938];
+ vX_[7390] = vX_[5336] * vX_[421] + vX_[5254] * vX_[433] + vX_[7390] * vX_[440] + vX_[7396] * vX_[2078] +
+ vX_[7392] * vX_[1963];
+ vX_[4934] = 0 - vX_[4934];
+ vX_[6613] = 0 - vX_[7390];
+ vX_[7386] = vX_[5336] * vX_[394] + vX_[5254] * vX_[421] + vX_[7386] * vX_[440] + vX_[7396] * vX_[4138] +
+ vX_[7402] * vX_[1963];
+ vX_[5254] = 0 - vX_[7386];
+ vX_[5336] = (vX_[4934] * vX_[416] + vX_[6613] * vX_[424] + vX_[5254] * vX_[406]) * 1 / vX_[418];
+ vX_[4934] = vX_[7399] * vX_[1947] + vX_[5179] * vX_[429] + vX_[4934] * vX_[419] + vX_[5336];
+ vX_[5357] = vX_[5177] + vX_[6651] * vX_[435] + vX_[5357] * vX_[440] * 2. + vX_[7391] * vX_[4138] - vX_[4934];
+ vX_[5177] = vX_[5110] + vX_[7392] * vX_[2078];
+ vX_[7388] = vX_[7388] + vX_[7402] * vX_[4138];
+ vX_[5179] = vX_[5177] - vX_[7388];
+ vX_[6682] = 0 - vX_[5177];
+ vX_[6651] = vX_[6651] + vX_[7392] * vX_[4138] + vX_[7402] * vX_[2078];
+ vX_[6976] = 0 - vX_[6651];
+ vX_[6205] = (vX_[6682] * vX_[424] + vX_[6976] * vX_[406]) * 1 / vX_[418];
+ vX_[6682] = vX_[7401] * vX_[1947] + vX_[6260] * vX_[429] + vX_[6613] * vX_[419] + vX_[6682] * vX_[463] + vX_[6205];
+ vX_[6613] = 0 - vX_[7388];
+ vX_[6260] = vX_[6613] * vX_[406] * 1 / vX_[418];
+ vX_[6613] = vX_[7403] * vX_[1947] + vX_[7155] * vX_[429] + vX_[5254] * vX_[419] + vX_[6976] * vX_[463] +
+ vX_[6613] * vX_[459] + vX_[6260];
+ vX_[6976] = 0 - vX_[6613];
+ vX_[5254] = vX_[5179] * vX_[395] + vX_[6651] * vX_[398];
+ vX_[7155] = vX_[5179] * vX_[397] + vX_[6651] * vX_[395];
+ vX_[6615] = vX_[7388] + vX_[5254] * vX_[395];
+ vX_[6456] = vX_[7388] + vX_[7155] * vX_[397];
+ vX_[6260] = vX_[5177] + vX_[7388] + 0 - vX_[7398] * vX_[3731] - vX_[7399] * vX_[1120] - vX_[7400] * vX_[1747] +
+ vX_[7400] * vX_[1947] - vX_[7401] * vX_[1899] - vX_[7403] * vX_[1704] - vX_[4938] * vX_[429] -
+ vX_[5336] * vX_[419] - vX_[6205] * vX_[463] - vX_[6260] * vX_[459] - vX_[6615] - vX_[6456];
+ vX_[6205] = 0 - vX_[6456];
+ vX_[7388] = vX_[5405] * vX_[395] + vX_[4934] * vX_[398];
+ vX_[5177] = 0 - vX_[6260];
+ vX_[5336] = vX_[7388] + vX_[5177] * vX_[403];
+ vX_[4938] = vX_[5405] * vX_[397] + vX_[4934] * vX_[395];
+ vX_[7403] = vX_[4938] + vX_[6260] * vX_[400];
+ vX_[5403] = 0 - (vX_[5346] + vX_[5403] * vX_[440] + vX_[5110] * vX_[435] * 2. + vX_[7391] * vX_[2078]) + vX_[5405];
+ vX_[5346] = vX_[5254] * vX_[397] + vX_[7155] * vX_[395];
+ vX_[5110] = 0 - vX_[6613];
+ jac[319] =
+ (vX_[7395] * vX_[4110] + vX_[7392] * vX_[47] + vX_[4911] * vX_[445] + vX_[4530] * 0.00185880198235362 +
+ vX_[7157] * -7.4114911576828e-06 + vX_[5405] * vX_[414] + vX_[7385] * vX_[399] + vX_[5250] * vX_[423] +
+ (vX_[7390] * vX_[398] + vX_[5250] * vX_[395]) * 8.81e-05 + vX_[5357] * vX_[409] + vX_[5179] * vX_[456] +
+ vX_[6682] * vX_[405] + vX_[6976] * vX_[401] + vX_[5254] * vX_[455] + vX_[7155] * vX_[454] +
+ vX_[4963] * vX_[1145] + vX_[4949] * vX_[43] - (vX_[7396] * vX_[1734] + vX_[4966] * vX_[916]) +
+ (vX_[7397] * vX_[4110] + vX_[6260] * vX_[411] + vX_[6205] * vX_[412] + vX_[5336] * 0.00185880198235362 +
+ vX_[7403] * 0.880992588508842 +
+ (0 - (vX_[5357] * vX_[395] + vX_[5403] * vX_[398] + vX_[4938] + vX_[5346] * vX_[403] +
+ vX_[6205] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[6976] * vX_[397] + vX_[6682] * vX_[395]) +
+ (vX_[6682] * vX_[395] + vX_[6613] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[5346]) * -0.1104774 + (0 - vX_[6456]) * 0.000881 + vX_[4963] * vX_[1233]) *
+ 0.35 -
+ (vX_[7402] * vX_[1955] + vX_[5183] * vX_[446] + vX_[4934] * vX_[410] + vX_[7390] * vX_[422] +
+ vX_[7386] * vX_[396] + (vX_[7385] * vX_[397] + vX_[7386] * vX_[395]) * -8.81e-05 +
+ vX_[5403] * vX_[413] + vX_[6613] * vX_[402] + vX_[6651] * vX_[457] + vX_[6682] * vX_[404] +
+ vX_[4894] * vX_[15])) *
+ vX_[3657] -
+ (vX_[7395] * vX_[1734] + vX_[7396] * vX_[4110] + vX_[7392] * vX_[1955] + vX_[7402] * vX_[47] +
+ vX_[4911] * vX_[446] + vX_[5183] * vX_[445] + vX_[4530] * -0.466187537174287 +
+ vX_[7157] * 0.00185880198235362 + vX_[5405] * vX_[410] + vX_[4934] * vX_[414] + vX_[7390] * vX_[423] +
+ vX_[7385] * vX_[396] + vX_[5250] * vX_[422] + vX_[7386] * vX_[399] +
+ (vX_[7390] * vX_[395] + vX_[5250] * vX_[397]) * -8.81e-05 +
+ (vX_[7385] * vX_[395] + vX_[7386] * vX_[398]) * 8.81e-05 + vX_[5357] * vX_[413] + vX_[5403] * vX_[409] +
+ vX_[5179] * vX_[457] + vX_[6682] * vX_[402] + vX_[6613] * vX_[405] + vX_[6651] * vX_[456] +
+ vX_[5110] * vX_[404] + vX_[6682] * vX_[401] + vX_[5254] * vX_[453] + vX_[7155] * vX_[455] +
+ (vX_[5346] * vX_[412] + vX_[5177] * vX_[407] + vX_[6615] * vX_[408] + (0 - vX_[5336]) * 0.414812462825713 +
+ (0 - (vX_[5357] * vX_[397] + vX_[5403] * vX_[395]) + vX_[7388] + vX_[6615] * vX_[403]) * 0.881 +
+ (0 - vX_[7403]) * 0.00185880198235362 +
+ (0 - (vX_[5110] * vX_[395] + vX_[6682] * vX_[398] +
+ (vX_[6682] * vX_[397] + vX_[6613] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[5346] * 0.0004405 + vX_[6615] * -0.2209548) *
+ -0.35 +
+ vX_[4966] * vX_[1145] + vX_[4963] * vX_[916] + vX_[4894] * vX_[43] + vX_[4949] * vX_[15] +
+ (vX_[7397] * vX_[1734] + vX_[4966] * vX_[1233]) * 0.35 + vX_[7439] * vX_[1942] + vX_[4526] * vX_[1709] +
+ vX_[7442] * vX_[1954] + vX_[7411] * vX_[1722] + vX_[7427] * vX_[1898] + vX_[7415] * vX_[1738] +
+ vX_[4474] * vX_[1703] + vX_[7418] * vX_[421] + vX_[7443] * vX_[1962] + vX_[7413] * vX_[1731] +
+ vX_[5106] * vX_[1903] + vX_[4898] * vX_[1736] + vX_[4501] * vX_[1916] + vX_[7154] * vX_[394] +
+ vX_[6982] * vX_[1759] + vX_[4442] * vX_[1909] + vX_[6387] * vX_[1746] + vX_[4545] * vX_[1806] +
+ vX_[4250] * vX_[1825] + vX_[6623] * vX_[1801] + vX_[7410] * vX_[1844] + vX_[7014] * vX_[1832] +
+ vX_[4465] * vX_[1836] + vX_[4467] * vX_[1798] + vX_[4398] * vX_[1784] + vX_[4823] * vX_[1792] +
+ vX_[4871] * vX_[1817] + vX_[5409] * vX_[1820] + vX_[4533] * vX_[1880] + vX_[4246] * vX_[1825] +
+ vX_[5803] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[7405] * vX_[1701] + vX_[7440] * vX_[1944] + vX_[7425] * vX_[1891] + vX_[7442] * vX_[1951] +
+ vX_[7411] * vX_[1719] + vX_[7427] * vX_[1896] + vX_[7393] * vX_[1736] + vX_[7431] * vX_[1914] +
+ vX_[7424] * vX_[394] + vX_[7443] * vX_[1959] + vX_[7413] * vX_[1728] + vX_[7428] * vX_[1902] +
+ vX_[7416] * vX_[1741] + vX_[7432] * vX_[1703] + vX_[7419] * vX_[1751] + vX_[7433] * vX_[1757] +
+ vX_[7429] * vX_[1907] + vX_[7444] * vX_[1745] + vX_[4534] * vX_[1804] + vX_[4484] * vX_[1823] +
+ vX_[7383] * vX_[1800] + vX_[7410] * vX_[1842] + vX_[7014] * vX_[1833] + vX_[4465] * vX_[1838] +
+ vX_[4467] * vX_[1796] + vX_[4398] * vX_[1786] + vX_[4983] * vX_[1790] + vX_[7382] * vX_[1816] +
+ vX_[4903] * vX_[1819] + vX_[7516] * vX_[1878] + vX_[4325] * vX_[1868] + vX_[7445] * vX_[1873]) *
+ vX_[1694];
+ vX_[2901] = vX_[2398] + vX_[2675] * vX_[421] + vX_[2901] * vX_[435] + vX_[7822] * vX_[1904];
+ vX_[2459] = vX_[2398] + vX_[7584] * vX_[394] + vX_[2459] * vX_[440] + vX_[7823] * vX_[1963];
+ vX_[2398] = vX_[2901] - vX_[2459];
+ vX_[2679] = vX_[2675] * vX_[394] + vX_[7584] * vX_[421] + vX_[2074] * vX_[440] + vX_[2679] * vX_[435] +
+ vX_[7822] * vX_[1963] + vX_[7823] * vX_[1904];
+ vX_[2074] = vX_[2398] * vX_[395] + vX_[2679] * vX_[398];
+ vX_[7584] = vX_[2398] * vX_[397] + vX_[2679] * vX_[395];
+ vX_[2901] = 0 - vX_[2901];
+ vX_[2675] = 0 - vX_[2679];
+ vX_[2823] = vX_[2451] * vX_[421] + vX_[7582] * vX_[433] + vX_[2823] * vX_[435] + vX_[7822] * vX_[2078] +
+ vX_[7819] * vX_[1904];
+ vX_[5110] = 0 - vX_[2823];
+ vX_[7812] = vX_[2451] * vX_[394] + vX_[7582] * vX_[421] + vX_[7812] * vX_[435] + vX_[7822] * vX_[4138] +
+ vX_[7829] * vX_[1904];
+ vX_[7582] = 0 - vX_[7812];
+ vX_[2451] =
+ (vX_[2901] * vX_[428] + vX_[2675] * vX_[416] + vX_[5110] * vX_[424] + vX_[7582] * vX_[406]) * 1 / vX_[418];
+ vX_[2901] = vX_[7825] * vX_[1947] + vX_[2901] * vX_[429] + vX_[2451];
+ vX_[7817] = vX_[2844] * vX_[421] + vX_[2827] * vX_[433] + vX_[7817] * vX_[440] + vX_[7823] * vX_[2078] +
+ vX_[7819] * vX_[1963];
+ vX_[2459] = 0 - vX_[2459];
+ vX_[5346] = 0 - vX_[7817];
+ vX_[7813] = vX_[2844] * vX_[394] + vX_[2827] * vX_[421] + vX_[7813] * vX_[440] + vX_[7823] * vX_[4138] +
+ vX_[7829] * vX_[1963];
+ vX_[2827] = 0 - vX_[7813];
+ vX_[2844] = (vX_[2459] * vX_[416] + vX_[5346] * vX_[424] + vX_[2827] * vX_[406]) * 1 / vX_[418];
+ vX_[2459] = vX_[7826] * vX_[1947] + vX_[2675] * vX_[429] + vX_[2459] * vX_[419] + vX_[2844];
+ vX_[2865] = vX_[2750] + vX_[5401] * vX_[435] + vX_[2865] * vX_[440] * 2. + vX_[7818] * vX_[4138] - vX_[2459];
+ vX_[2750] = vX_[2606] + vX_[7819] * vX_[2078];
+ vX_[7815] = vX_[7815] + vX_[7829] * vX_[4138];
+ vX_[2675] = vX_[2750] - vX_[7815];
+ vX_[5403] = 0 - vX_[2750];
+ vX_[5401] = vX_[5401] + vX_[7819] * vX_[4138] + vX_[7829] * vX_[2078];
+ vX_[7403] = 0 - vX_[5401];
+ vX_[4938] = (vX_[5403] * vX_[424] + vX_[7403] * vX_[406]) * 1 / vX_[418];
+ vX_[5403] = vX_[7828] * vX_[1947] + vX_[5110] * vX_[429] + vX_[5346] * vX_[419] + vX_[5403] * vX_[463] + vX_[4938];
+ vX_[5346] = 0 - vX_[7815];
+ vX_[5110] = vX_[5346] * vX_[406] * 1 / vX_[418];
+ vX_[5346] = vX_[7830] * vX_[1947] + vX_[7582] * vX_[429] + vX_[2827] * vX_[419] + vX_[7403] * vX_[463] +
+ vX_[5346] * vX_[459] + vX_[5110];
+ vX_[7403] = 0 - vX_[5346];
+ vX_[2827] = vX_[2675] * vX_[395] + vX_[5401] * vX_[398];
+ vX_[7582] = vX_[2675] * vX_[397] + vX_[5401] * vX_[395];
+ vX_[5336] = vX_[7815] + vX_[2827] * vX_[395];
+ vX_[5177] = vX_[7815] + vX_[7582] * vX_[397];
+ vX_[5110] = vX_[2750] + vX_[7815] + 0 - vX_[7825] * vX_[3731] - vX_[7826] * vX_[1120] - vX_[7827] * vX_[1747] +
+ vX_[7827] * vX_[1947] - vX_[7828] * vX_[1899] - vX_[7830] * vX_[1704] - vX_[2451] * vX_[429] -
+ vX_[2844] * vX_[419] - vX_[4938] * vX_[463] - vX_[5110] * vX_[459] - vX_[5336] - vX_[5177];
+ vX_[4938] = 0 - vX_[5177];
+ vX_[7815] = vX_[2901] * vX_[395] + vX_[2459] * vX_[398];
+ vX_[2750] = 0 - vX_[5110];
+ vX_[2844] = vX_[7815] + vX_[2750] * vX_[403];
+ vX_[2451] = vX_[2901] * vX_[397] + vX_[2459] * vX_[395];
+ vX_[7830] = vX_[2451] + vX_[5110] * vX_[400];
+ vX_[2890] = 0 - (vX_[2830] + vX_[2890] * vX_[440] + vX_[2606] * vX_[435] * 2. + vX_[7818] * vX_[2078]) + vX_[2901];
+ vX_[2830] = vX_[2827] * vX_[397] + vX_[7582] * vX_[395];
+ vX_[2606] = 0 - vX_[5346];
+ jac[320] =
+ (vX_[7822] * vX_[4110] + vX_[7819] * vX_[47] + vX_[2398] * vX_[445] + vX_[2074] * 0.00185880198235362 +
+ vX_[7584] * -7.4114911576828e-06 + vX_[2901] * vX_[414] + vX_[7812] * vX_[399] + vX_[2823] * vX_[423] +
+ (vX_[7817] * vX_[398] + vX_[2823] * vX_[395]) * 8.81e-05 + vX_[2865] * vX_[409] + vX_[2675] * vX_[456] +
+ vX_[5403] * vX_[405] + vX_[7403] * vX_[401] + vX_[2827] * vX_[455] + vX_[7582] * vX_[454] +
+ vX_[2510] * vX_[1145] + vX_[2486] * vX_[43] - (vX_[7823] * vX_[1734] + vX_[2604] * vX_[916]) +
+ (vX_[7824] * vX_[4110] + vX_[5110] * vX_[411] + vX_[4938] * vX_[412] + vX_[2844] * 0.00185880198235362 +
+ vX_[7830] * 0.880992588508842 +
+ (0 - (vX_[2865] * vX_[395] + vX_[2890] * vX_[398] + vX_[2451] + vX_[2830] * vX_[403] +
+ vX_[4938] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[7403] * vX_[397] + vX_[5403] * vX_[395]) +
+ (vX_[5403] * vX_[395] + vX_[5346] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[2830]) * -0.1104774 + (0 - vX_[5177]) * 0.000881 + vX_[2510] * vX_[1233]) *
+ 0.35 -
+ (vX_[7829] * vX_[1955] + vX_[2679] * vX_[446] + vX_[2459] * vX_[410] + vX_[7817] * vX_[422] +
+ vX_[7813] * vX_[396] + (vX_[7812] * vX_[397] + vX_[7813] * vX_[395]) * -8.81e-05 +
+ vX_[2890] * vX_[413] + vX_[5346] * vX_[402] + vX_[5401] * vX_[457] + vX_[5403] * vX_[404] +
+ vX_[2436] * vX_[15])) *
+ vX_[3657] -
+ (vX_[7822] * vX_[1734] + vX_[7823] * vX_[4110] + vX_[7819] * vX_[1955] + vX_[7829] * vX_[47] +
+ vX_[2398] * vX_[446] + vX_[2679] * vX_[445] + vX_[2074] * -0.466187537174287 +
+ vX_[7584] * 0.00185880198235362 + vX_[2901] * vX_[410] + vX_[2459] * vX_[414] + vX_[7817] * vX_[423] +
+ vX_[7812] * vX_[396] + vX_[2823] * vX_[422] + vX_[7813] * vX_[399] +
+ (vX_[7817] * vX_[395] + vX_[2823] * vX_[397]) * -8.81e-05 +
+ (vX_[7812] * vX_[395] + vX_[7813] * vX_[398]) * 8.81e-05 + vX_[2865] * vX_[413] + vX_[2890] * vX_[409] +
+ vX_[2675] * vX_[457] + vX_[5403] * vX_[402] + vX_[5346] * vX_[405] + vX_[5401] * vX_[456] +
+ vX_[2606] * vX_[404] + vX_[5403] * vX_[401] + vX_[2827] * vX_[453] + vX_[7582] * vX_[455] +
+ (vX_[2830] * vX_[412] + vX_[2750] * vX_[407] + vX_[5336] * vX_[408] + (0 - vX_[2844]) * 0.414812462825713 +
+ (0 - (vX_[2865] * vX_[397] + vX_[2890] * vX_[395]) + vX_[7815] + vX_[5336] * vX_[403]) * 0.881 +
+ (0 - vX_[7830]) * 0.00185880198235362 +
+ (0 - (vX_[2606] * vX_[395] + vX_[5403] * vX_[398] +
+ (vX_[5403] * vX_[397] + vX_[5346] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[2830] * 0.0004405 + vX_[5336] * -0.2209548) *
+ -0.35 +
+ vX_[2604] * vX_[1145] + vX_[2510] * vX_[916] + vX_[2436] * vX_[43] + vX_[2486] * vX_[15] +
+ (vX_[7824] * vX_[1734] + vX_[2604] * vX_[1233]) * 0.35 + vX_[7866] * vX_[1942] + vX_[2055] * vX_[1709] +
+ vX_[7869] * vX_[1954] + vX_[7838] * vX_[1722] + vX_[7854] * vX_[1898] + vX_[7842] * vX_[1738] +
+ vX_[2016] * vX_[1703] + vX_[7845] * vX_[421] + vX_[7870] * vX_[1962] + vX_[7840] * vX_[1731] +
+ vX_[2602] * vX_[1903] + vX_[2440] * vX_[1736] + vX_[2032] * vX_[1916] + vX_[7581] * vX_[394] +
+ vX_[7409] * vX_[1759] + vX_[2011] * vX_[1909] + vX_[5108] * vX_[1746] + vX_[2085] * vX_[1806] +
+ vX_[1350] * vX_[1825] + vX_[5332] * vX_[1801] + vX_[7837] * vX_[1844] + vX_[7441] * vX_[1832] +
+ vX_[1984] * vX_[1836] + vX_[1973] * vX_[1798] + vX_[1575] * vX_[1784] + vX_[2348] * vX_[1792] +
+ vX_[2447] * vX_[1817] + vX_[2893] * vX_[1820] + vX_[2098] * vX_[1880] + vX_[1354] * vX_[1825] +
+ vX_[4524] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[7832] * vX_[1701] + vX_[7867] * vX_[1944] + vX_[7852] * vX_[1891] + vX_[7869] * vX_[1951] +
+ vX_[7838] * vX_[1719] + vX_[7854] * vX_[1896] + vX_[7820] * vX_[1736] + vX_[7858] * vX_[1914] +
+ vX_[7851] * vX_[394] + vX_[7870] * vX_[1959] + vX_[7840] * vX_[1728] + vX_[7855] * vX_[1902] +
+ vX_[7843] * vX_[1741] + vX_[7859] * vX_[1703] + vX_[7846] * vX_[1751] + vX_[7860] * vX_[1757] +
+ vX_[7856] * vX_[1907] + vX_[7871] * vX_[1745] + vX_[2107] * vX_[1804] + vX_[1991] * vX_[1823] +
+ vX_[7810] * vX_[1800] + vX_[7837] * vX_[1842] + vX_[7441] * vX_[1833] + vX_[1984] * vX_[1838] +
+ vX_[1973] * vX_[1796] + vX_[1575] * vX_[1786] + vX_[2608] * vX_[1790] + vX_[7809] * vX_[1816] +
+ vX_[2457] * vX_[1819] + vX_[7943] * vX_[1878] + vX_[1263] * vX_[1868] + vX_[7872] * vX_[1873]) *
+ vX_[1694];
+ vX_[26] = vX_[1463] + vX_[991] * vX_[421] + vX_[26] * vX_[435] + vX_[8241] * vX_[1904];
+ vX_[1810] = vX_[1463] + vX_[8003] * vX_[394] + vX_[1810] * vX_[440] + vX_[8242] * vX_[1963];
+ vX_[1463] = vX_[26] - vX_[1810];
+ vX_[1143] = vX_[991] * vX_[394] + vX_[8003] * vX_[421] + vX_[9140] * vX_[440] + vX_[1143] * vX_[435] +
+ vX_[8241] * vX_[1963] + vX_[8242] * vX_[1904];
+ vX_[9140] = vX_[1463] * vX_[395] + vX_[1143] * vX_[398];
+ vX_[8003] = vX_[1463] * vX_[397] + vX_[1143] * vX_[395];
+ vX_[26] = 0 - vX_[26];
+ vX_[991] = 0 - vX_[1143];
+ vX_[1308] = vX_[1775] * vX_[421] + vX_[8001] * vX_[433] + vX_[1308] * vX_[435] + vX_[8241] * vX_[2078] +
+ vX_[8238] * vX_[1904];
+ vX_[2606] = 0 - vX_[1308];
+ vX_[8231] = vX_[1775] * vX_[394] + vX_[8001] * vX_[421] + vX_[8231] * vX_[435] + vX_[8241] * vX_[4138] +
+ vX_[8248] * vX_[1904];
+ vX_[8001] = 0 - vX_[8231];
+ vX_[1775] = (vX_[26] * vX_[428] + vX_[991] * vX_[416] + vX_[2606] * vX_[424] + vX_[8001] * vX_[406]) * 1 / vX_[418];
+ vX_[26] = vX_[8244] * vX_[1947] + vX_[26] * vX_[429] + vX_[1775];
+ vX_[8236] = vX_[1620] * vX_[421] + vX_[1340] * vX_[433] + vX_[8236] * vX_[440] + vX_[8242] * vX_[2078] +
+ vX_[8238] * vX_[1963];
+ vX_[1810] = 0 - vX_[1810];
+ vX_[2830] = 0 - vX_[8236];
+ vX_[8232] = vX_[1620] * vX_[394] + vX_[1340] * vX_[421] + vX_[8232] * vX_[440] + vX_[8242] * vX_[4138] +
+ vX_[8248] * vX_[1963];
+ vX_[1340] = 0 - vX_[8232];
+ vX_[1620] = (vX_[1810] * vX_[416] + vX_[2830] * vX_[424] + vX_[1340] * vX_[406]) * 1 / vX_[418];
+ vX_[1810] = vX_[8245] * vX_[1947] + vX_[991] * vX_[429] + vX_[1810] * vX_[419] + vX_[1620];
+ vX_[1934] = vX_[1148] + vX_[2897] * vX_[435] + vX_[1934] * vX_[440] * 2. + vX_[8237] * vX_[4138] - vX_[1810];
+ vX_[1148] = vX_[994] + vX_[8238] * vX_[2078];
+ vX_[8234] = vX_[8234] + vX_[8248] * vX_[4138];
+ vX_[991] = vX_[1148] - vX_[8234];
+ vX_[2890] = 0 - vX_[1148];
+ vX_[2897] = vX_[2897] + vX_[8238] * vX_[4138] + vX_[8248] * vX_[2078];
+ vX_[7830] = 0 - vX_[2897];
+ vX_[2451] = (vX_[2890] * vX_[424] + vX_[7830] * vX_[406]) * 1 / vX_[418];
+ vX_[2890] = vX_[8247] * vX_[1947] + vX_[2606] * vX_[429] + vX_[2830] * vX_[419] + vX_[2890] * vX_[463] + vX_[2451];
+ vX_[2830] = 0 - vX_[8234];
+ vX_[2606] = vX_[2830] * vX_[406] * 1 / vX_[418];
+ vX_[2830] = vX_[8249] * vX_[1947] + vX_[8001] * vX_[429] + vX_[1340] * vX_[419] + vX_[7830] * vX_[463] +
+ vX_[2830] * vX_[459] + vX_[2606];
+ vX_[7830] = 0 - vX_[2830];
+ vX_[1340] = vX_[991] * vX_[395] + vX_[2897] * vX_[398];
+ vX_[8001] = vX_[991] * vX_[397] + vX_[2897] * vX_[395];
+ vX_[2844] = vX_[8234] + vX_[1340] * vX_[395];
+ vX_[2750] = vX_[8234] + vX_[8001] * vX_[397];
+ vX_[2606] = vX_[1148] + vX_[8234] + 0 - vX_[8244] * vX_[3731] - vX_[8245] * vX_[1120] - vX_[8246] * vX_[1747] +
+ vX_[8246] * vX_[1947] - vX_[8247] * vX_[1899] - vX_[8249] * vX_[1704] - vX_[1775] * vX_[429] -
+ vX_[1620] * vX_[419] - vX_[2451] * vX_[463] - vX_[2606] * vX_[459] - vX_[2844] - vX_[2750];
+ vX_[2451] = 0 - vX_[2750];
+ vX_[8234] = vX_[26] * vX_[395] + vX_[1810] * vX_[398];
+ vX_[1148] = 0 - vX_[2606];
+ vX_[1620] = vX_[8234] + vX_[1148] * vX_[403];
+ vX_[1775] = vX_[26] * vX_[397] + vX_[1810] * vX_[395];
+ vX_[8249] = vX_[1775] + vX_[2606] * vX_[400];
+ vX_[29] = 0 - (vX_[1612] + vX_[29] * vX_[440] + vX_[994] * vX_[435] * 2. + vX_[8237] * vX_[2078]) + vX_[26];
+ vX_[1612] = vX_[1340] * vX_[397] + vX_[8001] * vX_[395];
+ vX_[994] = 0 - vX_[2830];
+ jac[321] =
+ (vX_[8241] * vX_[4110] + vX_[8238] * vX_[47] + vX_[1463] * vX_[445] + vX_[9140] * 0.00185880198235362 +
+ vX_[8003] * -7.4114911576828e-06 + vX_[26] * vX_[414] + vX_[8231] * vX_[399] + vX_[1308] * vX_[423] +
+ (vX_[8236] * vX_[398] + vX_[1308] * vX_[395]) * 8.81e-05 + vX_[1934] * vX_[409] + vX_[991] * vX_[456] +
+ vX_[2890] * vX_[405] + vX_[7830] * vX_[401] + vX_[1340] * vX_[455] + vX_[8001] * vX_[454] +
+ vX_[829] * vX_[1145] + vX_[1769] * vX_[43] - (vX_[8242] * vX_[1734] + vX_[834] * vX_[916]) +
+ (vX_[8243] * vX_[4110] + vX_[2606] * vX_[411] + vX_[2451] * vX_[412] + vX_[1620] * 0.00185880198235362 +
+ vX_[8249] * 0.880992588508842 +
+ (0 - (vX_[1934] * vX_[395] + vX_[29] * vX_[398] + vX_[1775] + vX_[1612] * vX_[403] +
+ vX_[2451] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[7830] * vX_[397] + vX_[2890] * vX_[395]) +
+ (vX_[2890] * vX_[395] + vX_[2830] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[1612]) * -0.1104774 + (0 - vX_[2750]) * 0.000881 + vX_[829] * vX_[1233]) *
+ 0.35 -
+ (vX_[8248] * vX_[1955] + vX_[1143] * vX_[446] + vX_[1810] * vX_[410] + vX_[8236] * vX_[422] +
+ vX_[8232] * vX_[396] + (vX_[8231] * vX_[397] + vX_[8232] * vX_[395]) * -8.81e-05 + vX_[29] * vX_[413] +
+ vX_[2830] * vX_[402] + vX_[2897] * vX_[457] + vX_[2890] * vX_[404] + vX_[1462] * vX_[15])) *
+ vX_[3657] -
+ (vX_[8241] * vX_[1734] + vX_[8242] * vX_[4110] + vX_[8238] * vX_[1955] + vX_[8248] * vX_[47] +
+ vX_[1463] * vX_[446] + vX_[1143] * vX_[445] + vX_[9140] * -0.466187537174287 +
+ vX_[8003] * 0.00185880198235362 + vX_[26] * vX_[410] + vX_[1810] * vX_[414] + vX_[8236] * vX_[423] +
+ vX_[8231] * vX_[396] + vX_[1308] * vX_[422] + vX_[8232] * vX_[399] +
+ (vX_[8236] * vX_[395] + vX_[1308] * vX_[397]) * -8.81e-05 +
+ (vX_[8231] * vX_[395] + vX_[8232] * vX_[398]) * 8.81e-05 + vX_[1934] * vX_[413] + vX_[29] * vX_[409] +
+ vX_[991] * vX_[457] + vX_[2890] * vX_[402] + vX_[2830] * vX_[405] + vX_[2897] * vX_[456] +
+ vX_[994] * vX_[404] + vX_[2890] * vX_[401] + vX_[1340] * vX_[453] + vX_[8001] * vX_[455] +
+ (vX_[1612] * vX_[412] + vX_[1148] * vX_[407] + vX_[2844] * vX_[408] + (0 - vX_[1620]) * 0.414812462825713 +
+ (0 - (vX_[1934] * vX_[397] + vX_[29] * vX_[395]) + vX_[8234] + vX_[2844] * vX_[403]) * 0.881 +
+ (0 - vX_[8249]) * 0.00185880198235362 +
+ (0 -
+ (vX_[994] * vX_[395] + vX_[2890] * vX_[398] + (vX_[2890] * vX_[397] + vX_[2830] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[1612] * 0.0004405 + vX_[2844] * -0.2209548) *
+ -0.35 +
+ vX_[834] * vX_[1145] + vX_[829] * vX_[916] + vX_[1462] * vX_[43] + vX_[1769] * vX_[15] +
+ (vX_[8243] * vX_[1734] + vX_[834] * vX_[1233]) * 0.35 + vX_[8285] * vX_[1942] + vX_[9143] * vX_[1709] +
+ vX_[8288] * vX_[1954] + vX_[8257] * vX_[1722] + vX_[8273] * vX_[1898] + vX_[8261] * vX_[1738] +
+ vX_[9154] * vX_[1703] + vX_[8264] * vX_[421] + vX_[8289] * vX_[1962] + vX_[8259] * vX_[1731] +
+ vX_[919] * vX_[1903] + vX_[1518] * vX_[1736] + vX_[9152] * vX_[1916] + vX_[8000] * vX_[394] +
+ vX_[7836] * vX_[1759] + vX_[9155] * vX_[1909] + vX_[2681] * vX_[1746] + vX_[9133] * vX_[1806] +
+ vX_[9173] * vX_[1825] + vX_[2857] * vX_[1801] + vX_[8256] * vX_[1844] + vX_[7868] * vX_[1832] +
+ vX_[9162] * vX_[1836] + vX_[9164] * vX_[1798] + vX_[9167] * vX_[1784] + vX_[948] * vX_[1792] +
+ vX_[1468] * vX_[1817] + vX_[1043] * vX_[1820] + vX_[9137] * vX_[1880] + vX_[9174] * vX_[1825] +
+ vX_[2053] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[8251] * vX_[1701] + vX_[8286] * vX_[1944] + vX_[8271] * vX_[1891] + vX_[8288] * vX_[1951] +
+ vX_[8257] * vX_[1719] + vX_[8273] * vX_[1896] + vX_[8239] * vX_[1736] + vX_[8277] * vX_[1914] +
+ vX_[8270] * vX_[394] + vX_[8289] * vX_[1959] + vX_[8259] * vX_[1728] + vX_[8274] * vX_[1902] +
+ vX_[8262] * vX_[1741] + vX_[8278] * vX_[1703] + vX_[8265] * vX_[1751] + vX_[8279] * vX_[1757] +
+ vX_[8275] * vX_[1907] + vX_[8290] * vX_[1745] + vX_[891] * vX_[1804] + vX_[9159] * vX_[1823] +
+ vX_[8229] * vX_[1800] + vX_[8256] * vX_[1842] + vX_[7868] * vX_[1833] + vX_[9162] * vX_[1838] +
+ vX_[9164] * vX_[1796] + vX_[9167] * vX_[1786] + vX_[914] * vX_[1790] + vX_[8228] * vX_[1816] +
+ vX_[1501] * vX_[1819] + vX_[8362] * vX_[1878] + vX_[9171] * vX_[1868] + vX_[8291] * vX_[1873]) *
+ vX_[1694];
+ vX_[9181] = vX_[9251] + vX_[9218] * vX_[421] + vX_[9181] * vX_[435] + vX_[8670] * vX_[1904];
+ vX_[9245] = vX_[9251] + vX_[8432] * vX_[394] + vX_[9245] * vX_[440] + vX_[8671] * vX_[1963];
+ vX_[9251] = vX_[9181] - vX_[9245];
+ vX_[9217] = vX_[9218] * vX_[394] + vX_[8432] * vX_[421] + vX_[9282] * vX_[440] + vX_[9217] * vX_[435] +
+ vX_[8670] * vX_[1963] + vX_[8671] * vX_[1904];
+ vX_[9282] = vX_[9251] * vX_[395] + vX_[9217] * vX_[398];
+ vX_[8432] = vX_[9251] * vX_[397] + vX_[9217] * vX_[395];
+ vX_[9181] = 0 - vX_[9181];
+ vX_[9218] = 0 - vX_[9217];
+ vX_[9212] = vX_[9242] * vX_[421] + vX_[8430] * vX_[433] + vX_[9212] * vX_[435] + vX_[8670] * vX_[2078] +
+ vX_[8667] * vX_[1904];
+ vX_[994] = 0 - vX_[9212];
+ vX_[8660] = vX_[9242] * vX_[394] + vX_[8430] * vX_[421] + vX_[8660] * vX_[435] + vX_[8670] * vX_[4138] +
+ vX_[8677] * vX_[1904];
+ vX_[8430] = 0 - vX_[8660];
+ vX_[9242] =
+ (vX_[9181] * vX_[428] + vX_[9218] * vX_[416] + vX_[994] * vX_[424] + vX_[8430] * vX_[406]) * 1 / vX_[418];
+ vX_[9181] = vX_[8673] * vX_[1947] + vX_[9181] * vX_[429] + vX_[9242];
+ vX_[8665] = vX_[9204] * vX_[421] + vX_[9211] * vX_[433] + vX_[8665] * vX_[440] + vX_[8671] * vX_[2078] +
+ vX_[8667] * vX_[1963];
+ vX_[9245] = 0 - vX_[9245];
+ vX_[1612] = 0 - vX_[8665];
+ vX_[8661] = vX_[9204] * vX_[394] + vX_[9211] * vX_[421] + vX_[8661] * vX_[440] + vX_[8671] * vX_[4138] +
+ vX_[8677] * vX_[1963];
+ vX_[9211] = 0 - vX_[8661];
+ vX_[9204] = (vX_[9245] * vX_[416] + vX_[1612] * vX_[424] + vX_[9211] * vX_[406]) * 1 / vX_[418];
+ vX_[9245] = vX_[8674] * vX_[1947] + vX_[9218] * vX_[429] + vX_[9245] * vX_[419] + vX_[9204];
+ vX_[9196] = vX_[9216] + vX_[22] * vX_[435] + vX_[9196] * vX_[440] * 2. + vX_[8666] * vX_[4138] - vX_[9245];
+ vX_[9216] = vX_[9221] + vX_[8667] * vX_[2078];
+ vX_[8663] = vX_[8663] + vX_[8677] * vX_[4138];
+ vX_[9218] = vX_[9216] - vX_[8663];
+ vX_[29] = 0 - vX_[9216];
+ vX_[22] = vX_[22] + vX_[8667] * vX_[4138] + vX_[8677] * vX_[2078];
+ vX_[8249] = 0 - vX_[22];
+ vX_[1775] = (vX_[29] * vX_[424] + vX_[8249] * vX_[406]) * 1 / vX_[418];
+ vX_[29] = vX_[8676] * vX_[1947] + vX_[994] * vX_[429] + vX_[1612] * vX_[419] + vX_[29] * vX_[463] + vX_[1775];
+ vX_[1612] = 0 - vX_[8663];
+ vX_[994] = vX_[1612] * vX_[406] * 1 / vX_[418];
+ vX_[1612] = vX_[8678] * vX_[1947] + vX_[8430] * vX_[429] + vX_[9211] * vX_[419] + vX_[8249] * vX_[463] +
+ vX_[1612] * vX_[459] + vX_[994];
+ vX_[8249] = 0 - vX_[1612];
+ vX_[9211] = vX_[9218] * vX_[395] + vX_[22] * vX_[398];
+ vX_[8430] = vX_[9218] * vX_[397] + vX_[22] * vX_[395];
+ vX_[1620] = vX_[8663] + vX_[9211] * vX_[395];
+ vX_[1148] = vX_[8663] + vX_[8430] * vX_[397];
+ vX_[994] = vX_[9216] + vX_[8663] + 0 - vX_[8673] * vX_[3731] - vX_[8674] * vX_[1120] - vX_[8675] * vX_[1747] +
+ vX_[8675] * vX_[1947] - vX_[8676] * vX_[1899] - vX_[8678] * vX_[1704] - vX_[9242] * vX_[429] -
+ vX_[9204] * vX_[419] - vX_[1775] * vX_[463] - vX_[994] * vX_[459] - vX_[1620] - vX_[1148];
+ vX_[1775] = 0 - vX_[1148];
+ vX_[8663] = vX_[9181] * vX_[395] + vX_[9245] * vX_[398];
+ vX_[9216] = 0 - vX_[994];
+ vX_[9204] = vX_[8663] + vX_[9216] * vX_[403];
+ vX_[9242] = vX_[9181] * vX_[397] + vX_[9245] * vX_[395];
+ vX_[8678] = vX_[9242] + vX_[994] * vX_[400];
+ vX_[9179] = 0 - (vX_[9202] + vX_[9179] * vX_[440] + vX_[9221] * vX_[435] * 2. + vX_[8666] * vX_[2078]) + vX_[9181];
+ vX_[9202] = vX_[9211] * vX_[397] + vX_[8430] * vX_[395];
+ vX_[9221] = 0 - vX_[1612];
+ jac[322] =
+ (vX_[8670] * vX_[4110] + vX_[8667] * vX_[47] + vX_[9251] * vX_[445] + vX_[9282] * 0.00185880198235362 +
+ vX_[8432] * -7.4114911576828e-06 + vX_[9181] * vX_[414] + vX_[8660] * vX_[399] + vX_[9212] * vX_[423] +
+ (vX_[8665] * vX_[398] + vX_[9212] * vX_[395]) * 8.81e-05 + vX_[9196] * vX_[409] + vX_[9218] * vX_[456] +
+ vX_[29] * vX_[405] + vX_[8249] * vX_[401] + vX_[9211] * vX_[455] + vX_[8430] * vX_[454] +
+ vX_[9225] * vX_[1145] + vX_[9236] * vX_[43] - (vX_[8671] * vX_[1734] + vX_[9224] * vX_[916]) +
+ (vX_[8672] * vX_[4110] + vX_[994] * vX_[411] + vX_[1775] * vX_[412] + vX_[9204] * 0.00185880198235362 +
+ vX_[8678] * 0.880992588508842 +
+ (0 - (vX_[9196] * vX_[395] + vX_[9179] * vX_[398] + vX_[9242] + vX_[9202] * vX_[403] +
+ vX_[1775] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[8249] * vX_[397] + vX_[29] * vX_[395]) + (vX_[29] * vX_[395] + vX_[1612] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[9202]) * -0.1104774 + (0 - vX_[1148]) * 0.000881 + vX_[9225] * vX_[1233]) *
+ 0.35 -
+ (vX_[8677] * vX_[1955] + vX_[9217] * vX_[446] + vX_[9245] * vX_[410] + vX_[8665] * vX_[422] +
+ vX_[8661] * vX_[396] + (vX_[8660] * vX_[397] + vX_[8661] * vX_[395]) * -8.81e-05 +
+ vX_[9179] * vX_[413] + vX_[1612] * vX_[402] + vX_[22] * vX_[457] + vX_[29] * vX_[404] +
+ vX_[9256] * vX_[15])) *
+ vX_[3657] -
+ (vX_[8670] * vX_[1734] + vX_[8671] * vX_[4110] + vX_[8667] * vX_[1955] + vX_[8677] * vX_[47] +
+ vX_[9251] * vX_[446] + vX_[9217] * vX_[445] + vX_[9282] * -0.466187537174287 +
+ vX_[8432] * 0.00185880198235362 + vX_[9181] * vX_[410] + vX_[9245] * vX_[414] + vX_[8665] * vX_[423] +
+ vX_[8660] * vX_[396] + vX_[9212] * vX_[422] + vX_[8661] * vX_[399] +
+ (vX_[8665] * vX_[395] + vX_[9212] * vX_[397]) * -8.81e-05 +
+ (vX_[8660] * vX_[395] + vX_[8661] * vX_[398]) * 8.81e-05 + vX_[9196] * vX_[413] + vX_[9179] * vX_[409] +
+ vX_[9218] * vX_[457] + vX_[29] * vX_[402] + vX_[1612] * vX_[405] + vX_[22] * vX_[456] +
+ vX_[9221] * vX_[404] + vX_[29] * vX_[401] + vX_[9211] * vX_[453] + vX_[8430] * vX_[455] +
+ (vX_[9202] * vX_[412] + vX_[9216] * vX_[407] + vX_[1620] * vX_[408] + (0 - vX_[9204]) * 0.414812462825713 +
+ (0 - (vX_[9196] * vX_[397] + vX_[9179] * vX_[395]) + vX_[8663] + vX_[1620] * vX_[403]) * 0.881 +
+ (0 - vX_[8678]) * 0.00185880198235362 +
+ (0 - (vX_[9221] * vX_[395] + vX_[29] * vX_[398] + (vX_[29] * vX_[397] + vX_[1612] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[9202] * 0.0004405 + vX_[1620] * -0.2209548) *
+ -0.35 +
+ vX_[9224] * vX_[1145] + vX_[9225] * vX_[916] + vX_[9256] * vX_[43] + vX_[9236] * vX_[15] +
+ (vX_[8672] * vX_[1734] + vX_[9224] * vX_[1233]) * 0.35 + vX_[8714] * vX_[1942] + vX_[9285] * vX_[1709] +
+ vX_[8717] * vX_[1954] + vX_[8686] * vX_[1722] + vX_[8702] * vX_[1898] + vX_[8690] * vX_[1738] +
+ vX_[9296] * vX_[1703] + vX_[8693] * vX_[421] + vX_[8718] * vX_[1962] + vX_[8688] * vX_[1731] +
+ vX_[9222] * vX_[1903] + vX_[9255] * vX_[1736] + vX_[9294] * vX_[1916] + vX_[8429] * vX_[394] +
+ vX_[8255] * vX_[1759] + vX_[9297] * vX_[1909] + vX_[1029] * vX_[1746] + vX_[9275] * vX_[1806] +
+ vX_[9315] * vX_[1825] + vX_[1771] * vX_[1801] + vX_[8685] * vX_[1844] + vX_[8287] * vX_[1832] +
+ vX_[9304] * vX_[1836] + vX_[9306] * vX_[1798] + vX_[9309] * vX_[1784] + vX_[9262] * vX_[1792] +
+ vX_[9249] * vX_[1817] + vX_[9178] * vX_[1820] + vX_[9279] * vX_[1880] + vX_[9316] * vX_[1825] +
+ vX_[9141] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[8680] * vX_[1701] + vX_[8715] * vX_[1944] + vX_[8700] * vX_[1891] + vX_[8717] * vX_[1951] +
+ vX_[8686] * vX_[1719] + vX_[8702] * vX_[1896] + vX_[8668] * vX_[1736] + vX_[8706] * vX_[1914] +
+ vX_[8699] * vX_[394] + vX_[8718] * vX_[1959] + vX_[8688] * vX_[1728] + vX_[8703] * vX_[1902] +
+ vX_[8691] * vX_[1741] + vX_[8707] * vX_[1703] + vX_[8694] * vX_[1751] + vX_[8708] * vX_[1757] +
+ vX_[8704] * vX_[1907] + vX_[8719] * vX_[1745] + vX_[9273] * vX_[1804] + vX_[9301] * vX_[1823] +
+ vX_[8658] * vX_[1800] + vX_[8685] * vX_[1842] + vX_[8287] * vX_[1833] + vX_[9304] * vX_[1838] +
+ vX_[9306] * vX_[1796] + vX_[9309] * vX_[1786] + vX_[9223] * vX_[1790] + vX_[8657] * vX_[1816] +
+ vX_[9248] * vX_[1819] + vX_[8791] * vX_[1878] + vX_[9313] * vX_[1868] + vX_[8720] * vX_[1873]) *
+ vX_[1694];
+ vX_[551] = vX_[9346] + vX_[9208] * vX_[421] + vX_[551] * vX_[435] + vX_[9072] * vX_[1904];
+ vX_[483] = vX_[9346] + vX_[8861] * vX_[394] + vX_[483] * vX_[440] + vX_[9073] * vX_[1963];
+ vX_[9346] = vX_[551] - vX_[483];
+ vX_[471] = vX_[9208] * vX_[394] + vX_[8861] * vX_[421] + vX_[1654] * vX_[440] + vX_[471] * vX_[435] +
+ vX_[9072] * vX_[1963] + vX_[9073] * vX_[1904];
+ vX_[1654] = vX_[9346] * vX_[395] + vX_[471] * vX_[398];
+ vX_[8861] = vX_[9346] * vX_[397] + vX_[471] * vX_[395];
+ vX_[551] = 0 - vX_[551];
+ vX_[9208] = 0 - vX_[471];
+ vX_[4134] = vX_[482] * vX_[421] + vX_[8856] * vX_[433] + vX_[4134] * vX_[435] + vX_[9072] * vX_[2078] +
+ vX_[9069] * vX_[1904];
+ vX_[9221] = 0 - vX_[4134];
+ vX_[590] = vX_[482] * vX_[394] + vX_[8856] * vX_[421] + vX_[590] * vX_[435] + vX_[9072] * vX_[4138] +
+ vX_[9079] * vX_[1904];
+ vX_[8856] = 0 - vX_[590];
+ vX_[428] =
+ (vX_[551] * vX_[428] + vX_[9208] * vX_[416] + vX_[9221] * vX_[424] + vX_[8856] * vX_[406]) * 1 / vX_[418];
+ vX_[551] = vX_[9075] * vX_[1947] + vX_[551] * vX_[429] + vX_[428];
+ vX_[4121] = vX_[9343] * vX_[421] + vX_[393] * vX_[433] + vX_[4121] * vX_[440] + vX_[9073] * vX_[2078] +
+ vX_[9069] * vX_[1963];
+ vX_[483] = 0 - vX_[483];
+ vX_[433] = 0 - vX_[4121];
+ vX_[743] = vX_[9343] * vX_[394] + vX_[393] * vX_[421] + vX_[743] * vX_[440] + vX_[9073] * vX_[4138] +
+ vX_[9079] * vX_[1963];
+ vX_[393] = 0 - vX_[743];
+ vX_[416] = (vX_[483] * vX_[416] + vX_[433] * vX_[424] + vX_[393] * vX_[406]) * 1 / vX_[418];
+ vX_[483] = vX_[9076] * vX_[1947] + vX_[9208] * vX_[429] + vX_[483] * vX_[419] + vX_[416];
+ vX_[560] = vX_[499] + vX_[689] * vX_[435] + vX_[560] * vX_[440] * 2. + vX_[9068] * vX_[4138] - vX_[483];
+ vX_[499] = vX_[9325] + vX_[9069] * vX_[2078];
+ vX_[2081] = vX_[2081] + vX_[9079] * vX_[4138];
+ vX_[9208] = vX_[499] - vX_[2081];
+ vX_[9343] = 0 - vX_[499];
+ vX_[689] = vX_[689] + vX_[9069] * vX_[4138] + vX_[9079] * vX_[2078];
+ vX_[4138] = 0 - vX_[689];
+ vX_[424] = (vX_[9343] * vX_[424] + vX_[4138] * vX_[406]) * 1 / vX_[418];
+ vX_[9343] = vX_[9078] * vX_[1947] + vX_[9221] * vX_[429] + vX_[433] * vX_[419] + vX_[9343] * vX_[463] + vX_[424];
+ vX_[433] = 0 - vX_[2081];
+ vX_[418] = vX_[433] * vX_[406] * 1 / vX_[418];
+ vX_[433] = vX_[9080] * vX_[1947] + vX_[8856] * vX_[429] + vX_[393] * vX_[419] + vX_[4138] * vX_[463] +
+ vX_[433] * vX_[459] + vX_[418];
+ vX_[4138] = 0 - vX_[433];
+ vX_[393] = vX_[9208] * vX_[395] + vX_[689] * vX_[398];
+ vX_[8856] = vX_[9208] * vX_[397] + vX_[689] * vX_[395];
+ vX_[406] = vX_[2081] + vX_[393] * vX_[395];
+ vX_[9221] = vX_[2081] + vX_[8856] * vX_[397];
+ vX_[418] = vX_[499] + vX_[2081] + 0 - vX_[9075] * vX_[3731] - vX_[9076] * vX_[1120] - vX_[9077] * vX_[1747] +
+ vX_[9077] * vX_[1947] - vX_[9078] * vX_[1899] - vX_[9080] * vX_[1704] - vX_[428] * vX_[429] -
+ vX_[416] * vX_[419] - vX_[424] * vX_[463] - vX_[418] * vX_[459] - vX_[406] - vX_[9221];
+ vX_[424] = 0 - vX_[9221];
+ vX_[2081] = vX_[551] * vX_[395] + vX_[483] * vX_[398];
+ vX_[499] = 0 - vX_[418];
+ vX_[416] = vX_[2081] + vX_[499] * vX_[403];
+ vX_[428] = vX_[551] * vX_[397] + vX_[483] * vX_[395];
+ vX_[3731] = vX_[428] + vX_[418] * vX_[400];
+ vX_[9067] = 0 - (vX_[9183] + vX_[9067] * vX_[440] + vX_[9325] * vX_[435] * 2. + vX_[9068] * vX_[2078]) + vX_[551];
+ vX_[9183] = vX_[393] * vX_[397] + vX_[8856] * vX_[395];
+ vX_[9325] = 0 - vX_[433];
+ jac[323] =
+ (vX_[9072] * vX_[4110] + vX_[9069] * vX_[47] + vX_[9346] * vX_[445] + vX_[1654] * 0.00185880198235362 +
+ vX_[8861] * -7.4114911576828e-06 + vX_[551] * vX_[414] + vX_[590] * vX_[399] + vX_[4134] * vX_[423] +
+ (vX_[4121] * vX_[398] + vX_[4134] * vX_[395]) * 8.81e-05 + vX_[560] * vX_[409] + vX_[9208] * vX_[456] +
+ vX_[9343] * vX_[405] + vX_[4138] * vX_[401] + vX_[393] * vX_[455] + vX_[8856] * vX_[454] +
+ vX_[9327] * vX_[1145] + vX_[9337] * vX_[43] - (vX_[9073] * vX_[1734] + vX_[9326] * vX_[916]) +
+ (vX_[9074] * vX_[4110] + vX_[418] * vX_[411] + vX_[424] * vX_[412] + vX_[416] * 0.00185880198235362 +
+ vX_[3731] * 0.880992588508842 +
+ (0 - (vX_[560] * vX_[395] + vX_[9067] * vX_[398] + vX_[428] + vX_[9183] * vX_[403] +
+ vX_[424] * vX_[400])) *
+ 0.881 +
+ (0 - (vX_[4138] * vX_[397] + vX_[9343] * vX_[395]) +
+ (vX_[9343] * vX_[395] + vX_[433] * vX_[398]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[9183]) * -0.1104774 + (0 - vX_[9221]) * 0.000881 + vX_[9327] * vX_[1233]) *
+ 0.35 -
+ (vX_[9079] * vX_[1955] + vX_[471] * vX_[446] + vX_[483] * vX_[410] + vX_[4121] * vX_[422] +
+ vX_[743] * vX_[396] + (vX_[590] * vX_[397] + vX_[743] * vX_[395]) * -8.81e-05 + vX_[9067] * vX_[413] +
+ vX_[433] * vX_[402] + vX_[689] * vX_[457] + vX_[9343] * vX_[404] + vX_[9351] * vX_[15])) *
+ vX_[3657] -
+ (vX_[9072] * vX_[1734] + vX_[9073] * vX_[4110] + vX_[9069] * vX_[1955] + vX_[9079] * vX_[47] +
+ vX_[9346] * vX_[446] + vX_[471] * vX_[445] + vX_[1654] * -0.466187537174287 +
+ vX_[8861] * 0.00185880198235362 + vX_[551] * vX_[410] + vX_[483] * vX_[414] + vX_[4121] * vX_[423] +
+ vX_[590] * vX_[396] + vX_[4134] * vX_[422] + vX_[743] * vX_[399] +
+ (vX_[4121] * vX_[395] + vX_[4134] * vX_[397]) * -8.81e-05 +
+ (vX_[590] * vX_[395] + vX_[743] * vX_[398]) * 8.81e-05 + vX_[560] * vX_[413] + vX_[9067] * vX_[409] +
+ vX_[9208] * vX_[457] + vX_[9343] * vX_[402] + vX_[433] * vX_[405] + vX_[689] * vX_[456] +
+ vX_[9325] * vX_[404] + vX_[9343] * vX_[401] + vX_[393] * vX_[453] + vX_[8856] * vX_[455] +
+ (vX_[9183] * vX_[412] + vX_[499] * vX_[407] + vX_[406] * vX_[408] + (0 - vX_[416]) * 0.414812462825713 +
+ (0 - (vX_[560] * vX_[397] + vX_[9067] * vX_[395]) + vX_[2081] + vX_[406] * vX_[403]) * 0.881 +
+ (0 - vX_[3731]) * 0.00185880198235362 +
+ (0 -
+ (vX_[9325] * vX_[395] + vX_[9343] * vX_[398] + (vX_[9343] * vX_[397] + vX_[433] * vX_[395]) * 2.)) *
+ 8.81e-05 +
+ vX_[9183] * 0.0004405 + vX_[406] * -0.2209548) *
+ -0.35 +
+ vX_[9326] * vX_[1145] + vX_[9327] * vX_[916] + vX_[9351] * vX_[43] + vX_[9337] * vX_[15] +
+ (vX_[9074] * vX_[1734] + vX_[9326] * vX_[1233]) * 0.35 + vX_[9116] * vX_[1942] + vX_[2090] * vX_[1709] +
+ vX_[9119] * vX_[1954] + vX_[9088] * vX_[1722] + vX_[9104] * vX_[1898] + vX_[9092] * vX_[1738] +
+ vX_[9348] * vX_[1703] + vX_[9101] * vX_[421] + vX_[9120] * vX_[1962] + vX_[9090] * vX_[1731] +
+ vX_[9353] * vX_[1903] + vX_[9240] * vX_[1736] + vX_[9070] * vX_[1916] + vX_[691] * vX_[394] +
+ vX_[8431] * vX_[1759] + vX_[9244] * vX_[1909] + vX_[1343] * vX_[1746] + vX_[1782] * vX_[1806] +
+ vX_[9375] * vX_[1825] + vX_[1449] * vX_[1801] + vX_[9087] * vX_[1844] + vX_[8716] * vX_[1832] +
+ vX_[9365] * vX_[1836] + vX_[9367] * vX_[1798] + vX_[9370] * vX_[1784] + vX_[42] * vX_[1792] +
+ vX_[9096] * vX_[1817] + vX_[8850] * vX_[1820] + vX_[458] * vX_[1880] + vX_[9376] * vX_[1825] +
+ vX_[14] * vX_[1874]) *
+ vX_[1695] +
+ (vX_[9082] * vX_[1701] + vX_[9117] * vX_[1944] + vX_[9102] * vX_[1891] + vX_[9119] * vX_[1951] +
+ vX_[9088] * vX_[1719] + vX_[9104] * vX_[1896] + vX_[9239] * vX_[1736] + vX_[9108] * vX_[1914] +
+ vX_[2089] * vX_[394] + vX_[9120] * vX_[1959] + vX_[9090] * vX_[1728] + vX_[9105] * vX_[1902] +
+ vX_[9093] * vX_[1741] + vX_[9109] * vX_[1703] + vX_[1761] * vX_[1751] + vX_[9110] * vX_[1757] +
+ vX_[9106] * vX_[1907] + vX_[2077] * vX_[1745] + vX_[1776] * vX_[1804] + vX_[9362] * vX_[1823] +
+ vX_[9121] * vX_[1800] + vX_[9087] * vX_[1842] + vX_[8716] * vX_[1833] + vX_[9365] * vX_[1838] +
+ vX_[9367] * vX_[1796] + vX_[9370] * vX_[1786] + vX_[555] * vX_[1790] + vX_[9094] * vX_[1816] +
+ vX_[9095] * vX_[1819] + vX_[1876] * vX_[1878] + vX_[1866] * vX_[1868] + vX_[9122] * vX_[1873]) *
+ vX_[1694];
+ vX_[9325] = vX_[1753] - vX_[740];
+ vX_[9183] = vX_[739] + vX_[44];
+ vX_[9067] = vX_[574] + vX_[770];
+ vX_[3731] = 0 - vX_[9067];
+ vX_[428] = vX_[9325] * vX_[273];
+ vX_[416] = vX_[9325] * vX_[354];
+ vX_[499] = vX_[726] + vX_[3953];
+ vX_[2081] = vX_[3720] + vX_[3717];
+ vX_[424] = vX_[724] + vX_[4112];
+ vX_[418] = vX_[638] + vX_[687];
+ vX_[9221] = vX_[418] * vX_[354] + vX_[424] * vX_[273];
+ vX_[406] = vX_[418] * vX_[367] + vX_[424] * vX_[354];
+ vX_[8856] = vX_[1428] + vX_[3704];
+ vX_[393] = 0 - (vX_[665] + vX_[741]) + vX_[8856];
+ vX_[4138] = vX_[3737] - vX_[3630];
+ vX_[433] = vX_[663] + vX_[4125];
+ vX_[9343] = vX_[3699] + vX_[3707];
+ vX_[689] = 0 - vX_[9343];
+ vX_[9208] = vX_[4138] * vX_[273];
+ vX_[560] = vX_[4138] * vX_[354];
+ vX_[483] = vX_[1396] * 0.881 + (0 - vX_[1401]) * 0.0004405 + vX_[1405] * -8.81e-05;
+ vX_[743] = vX_[1389] * -0.881;
+ vX_[4121] = vX_[1401] * 0.1104774;
+ vX_[551] = vX_[1414] * -8.81e-05;
+ vX_[590] = vX_[743] - vX_[4121] + vX_[551];
+ vX_[4134] = vX_[483] * vX_[1241] + vX_[590] * vX_[1342];
+ vX_[8861] = vX_[1379] * 3.146 + (0 - vX_[1387]) * -0.0825825;
+ vX_[1654] = vX_[1377] * -3.146;
+ vX_[471] = vX_[1387] * 0.47422804;
+ vX_[9346] = vX_[1654] - vX_[471];
+ vX_[1694] = vX_[4134] + vX_[8861] * vX_[1547] + vX_[9346] * vX_[1616];
+ vX_[1695] = vX_[1362] * 3.44 + vX_[1365] * -0.5824264;
+ vX_[3657] = 0 - vX_[1695];
+ vX_[14] = vX_[1356] * 3.44 + (0 - vX_[1365]) * 0.1466472;
+ vX_[1449] = vX_[1356] * vX_[370] + vX_[1349] * vX_[353] + vX_[1362] * vX_[362] + vX_[1365] * vX_[541] +
+ vX_[1367] * vX_[594];
+ vX_[1343] = vX_[1694] + vX_[3657] * vX_[1026] + vX_[14] * vX_[1130] + vX_[1449] * x_in[27];
+ vX_[691] = 0 - vX_[483];
+ vX_[551] = 0 - vX_[743] + vX_[4121] - vX_[551];
+ vX_[4121] = vX_[1372] * 0.0004405 + vX_[1389] * -8.81e-05 + vX_[1414] * -0.000227999999999999;
+ vX_[743] = vX_[1372] * 0.1104774 + vX_[1396] * -8.81e-05 + (0 - vX_[1405]) * 0.025713;
+ vX_[9122] = (0 - vX_[1389]) * 0.0004405;
+ vX_[8850] = (0 - vX_[1396]) * 0.1104774;
+ vX_[9095] = vX_[9122] + vX_[8850];
+ vX_[9095] = vX_[691] * vX_[2058] + vX_[551] * vX_[1455] + vX_[4121] * vX_[1241] + vX_[743] * vX_[1342] +
+ vX_[9095] * vX_[1465] + vX_[9095] * vX_[1465];
+ vX_[9096] = vX_[1372] * 0.881 + (0 - vX_[1405]) * 0.1104774 + vX_[1414] * 0.0004405;
+ vX_[9094] = vX_[1389] * 0.00185880198235362 + vX_[1396] * 0.880992588508842 + vX_[1405] * -8.81e-05;
+ vX_[691] = vX_[691] * vX_[1465] + vX_[9096] * vX_[1342] + vX_[9094] * x_in[29];
+ vX_[9121] = 0 - vX_[9096];
+ vX_[2077] = vX_[1389] * 0.414812462825713 + vX_[1396] * 0.00185880198235362 + vX_[1414] * 8.81e-05;
+ vX_[551] = vX_[551] * vX_[1465] + vX_[9121] * vX_[1241] - vX_[2077] * x_in[29];
+ vX_[1761] = 0 - vX_[8861];
+ vX_[471] = 0 - vX_[1654] + vX_[471];
+ vX_[1654] = vX_[1370] * -0.0825825 + (0 - vX_[1387]) * 0.000102 + vX_[1371] * 0.007418 + vX_[1385] * 0.002735;
+ vX_[9101] = vX_[1370] * 0.47422804 + vX_[1387] * 2.1e-05 + (0 - vX_[1371]) * 0.084376 + (0 - vX_[1385]) * 0.007418;
+ vX_[2089] = (0 - vX_[1377]) * -0.0825825;
+ vX_[9102] = (0 - vX_[1379]) * 0.47422804;
+ vX_[9376] = vX_[1371] * 0.000102;
+ vX_[9375] = (0 - vX_[1385]) * 2.1e-05;
+ vX_[1866] = vX_[2089] + vX_[9102] + vX_[9376] + vX_[9375];
+ vX_[1866] = vX_[9095] + vX_[691] * vX_[1388] + vX_[551] * vX_[282] + vX_[1761] * vX_[1460] + vX_[471] * vX_[1116] +
+ vX_[1654] * vX_[1547] + vX_[9101] * vX_[1616] + vX_[1866] * vX_[1109] + vX_[1866] * vX_[1109];
+ vX_[9370] = vX_[1370] * 3.146 + (0 - vX_[1371]) * 0.47422804 + vX_[1385] * -0.0825825;
+ vX_[9367] = vX_[1377] * vX_[330] + vX_[1379] * vX_[329] + vX_[1371] * vX_[308] + vX_[1385] * vX_[302];
+ vX_[1761] = vX_[691] * vX_[277] + vX_[551] * vX_[279] + vX_[1761] * vX_[1109] + vX_[9370] * vX_[1616] +
+ vX_[9367] * x_in[28];
+ vX_[9365] = 0 - vX_[9370];
+ vX_[9362] = vX_[1377] * vX_[328] + vX_[1379] * vX_[330] + vX_[1371] * vX_[314] + vX_[1385] * vX_[313];
+ vX_[471] = vX_[691] * vX_[1380] + vX_[551] * vX_[277] + vX_[471] * vX_[1109] + vX_[9365] * vX_[1547] -
+ vX_[9362] * x_in[28];
+ vX_[9244] = 0 - vX_[14];
+ vX_[9106] = vX_[1349] * -0.5824264 + (0 - vX_[1369]) * 0.022734 + vX_[1365] * 3.6e-05 + vX_[1367] * -0.133138;
+ vX_[9109] = vX_[1349] * 0.1466472 + vX_[1369] * 0.009466 + (0 - vX_[1365]) * -5.1e-05 + vX_[1367] * 0.022734;
+ vX_[9348] = (0 - vX_[1356]) * -0.5824264;
+ vX_[9070] = (0 - vX_[1362]) * 0.1466472;
+ vX_[9120] = (0 - vX_[1369]) * 3.6e-05;
+ vX_[9108] = (0 - vX_[1367]) * -5.1e-05;
+ vX_[9119] = vX_[9348] + vX_[9070] + vX_[9120] - vX_[9108];
+ vX_[2090] = vX_[1356] * vX_[386] + vX_[1349] * vX_[540] + vX_[1362] * vX_[594] + vX_[1365] * vX_[593] +
+ vX_[1367] * vX_[350];
+ vX_[9119] = vX_[1866] + vX_[1761] * vX_[1376] + vX_[471] * vX_[321] + vX_[1695] * vX_[1767] +
+ vX_[9244] * vX_[1126] + vX_[9106] * vX_[1026] + vX_[9109] * vX_[1130] + vX_[9119] * vX_[1274] +
+ vX_[9119] * vX_[1274] + vX_[2090] * x_in[27];
+ vX_[9082] = vX_[1399] - vX_[3630];
+ vX_[458] = vX_[9082] * vX_[354] + vX_[433] * vX_[273];
+ vX_[1876] = vX_[9082] * vX_[367] + vX_[433] * vX_[354];
+ vX_[42] = vX_[1876] + vX_[9208];
+ vX_[555] = vX_[458] * vX_[367] + vX_[42] * vX_[354] + vX_[560] * vX_[273];
+ vX_[8716] = 0 - vX_[555];
+ vX_[9087] = vX_[3630] + vX_[458] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[1782] = 0 - vX_[9087];
+ vX_[1776] = vX_[3630] + vX_[1876] * vX_[367] + vX_[560] * vX_[354];
+ vX_[8431] = vX_[576] + vX_[742] - vX_[2081];
+ vX_[9110] = vX_[8856] * vX_[354] + vX_[2081] * vX_[273];
+ vX_[9240] = 0 - (vX_[8431] * vX_[367] + vX_[393] * vX_[354]) + vX_[9110];
+ vX_[9093] = vX_[9240] + vX_[9087] * vX_[355];
+ vX_[9239] = 0 - vX_[9093];
+ vX_[9353] = vX_[8856] * vX_[367] + vX_[2081] * vX_[354];
+ vX_[9105] = vX_[8431] * vX_[354] + vX_[393] * vX_[273] + vX_[9353];
+ vX_[9090] = 0 - vX_[1776];
+ vX_[9092] = vX_[9105] + vX_[555] * vX_[355] + vX_[9090] * vX_[274];
+ vX_[9104] = vX_[670] + vX_[720];
+ vX_[9088] = vX_[499] * vX_[354] + vX_[9104] * vX_[367];
+ vX_[9117] = vX_[9088] * vX_[354] + vX_[406] * vX_[273];
+ vX_[9116] = vX_[676] + vX_[1586];
+ vX_[9343] = 0 - vX_[9343];
+ vX_[9337] = vX_[9116] * vX_[367] + vX_[9343] * vX_[354];
+ vX_[9351] = 0 - vX_[9337];
+ vX_[9327] = vX_[9117] + vX_[9351] * vX_[274] + vX_[1782] * vX_[369];
+ vX_[9326] = 0 - vX_[9327];
+ vX_[1734] = vX_[499] * vX_[273] + vX_[9104] * vX_[354];
+ vX_[4110] = vX_[1734] * vX_[367] + vX_[9221] * vX_[354];
+ vX_[47] = vX_[9116] * vX_[354] + vX_[689] * vX_[273];
+ vX_[1955] = 0 - vX_[47];
+ vX_[916] = vX_[4110] + vX_[1955] * vX_[355] + vX_[1776] * vX_[369];
+ vX_[43] = vX_[1734] * vX_[354] + vX_[9221] * vX_[273];
+ vX_[1145] = vX_[43] + vX_[9337] * vX_[355];
+ vX_[1233] = vX_[9088] * vX_[367] + vX_[406] * vX_[354];
+ vX_[15] = vX_[1233] + vX_[47] * vX_[274] + vX_[8716] * vX_[369];
+ vX_[9074] = 0 - vX_[1145] + vX_[15];
+ vX_[9079] = 0 - vX_[555];
+ vX_[9073] = 0 - vX_[9087];
+ vX_[1782] = vX_[8716] * vX_[597] + vX_[1782] * vX_[543] + vX_[1776] * vX_[333] + vX_[9239] * vX_[370] +
+ vX_[9092] * vX_[381] + vX_[9326] * vX_[362] + vX_[916] * vX_[356] + vX_[9074] * vX_[353] +
+ vX_[9079] * vX_[594] + vX_[555] * vX_[591] + vX_[9073] * vX_[542] + vX_[1776] * vX_[546];
+ vX_[8716] = vX_[1349] * -3.44;
+ vX_[9072] = vX_[1369] * 0.1466472;
+ vX_[9069] = vX_[1367] * -0.5824264;
+ vX_[1962] = 0 - vX_[8716] + vX_[9072] - vX_[9069];
+ vX_[1959] = vX_[1356] * vX_[381] + vX_[1349] * vX_[356] + vX_[1362] * vX_[353] + vX_[1365] * vX_[591] +
+ vX_[1367] * vX_[540];
+ vX_[9244] = vX_[1761] * vX_[1375] + vX_[471] * vX_[303] + vX_[1962] * vX_[1026] + vX_[9244] * vX_[1274] -
+ vX_[1959] * x_in[27];
+ vX_[1954] = vX_[1399] + vX_[3737] + vX_[3630] - vX_[9087] - vX_[1776];
+ vX_[1951] = 0 - vX_[1954];
+ vX_[9110] = vX_[9110] + vX_[1951] * vX_[355];
+ vX_[9353] = vX_[9353] + vX_[1954] * vX_[274];
+ vX_[1944] = 0 - vX_[9092];
+ vX_[1942] = 0 - vX_[916];
+ vX_[1916] = vX_[3716] + vX_[3712] + vX_[9104] + vX_[424] - vX_[43] - vX_[1233];
+ vX_[15] = vX_[1916] - vX_[15];
+ vX_[1914] = 0 - vX_[9337];
+ vX_[1909] = 0 - vX_[555];
+ vX_[1907] = 0 - vX_[1776];
+ vX_[1903] = vX_[1768] - vX_[740];
+ vX_[1902] = vX_[732] + vX_[4068];
+ vX_[1898] = vX_[1903] * vX_[354] + vX_[9183] * vX_[273];
+ vX_[1896] = vX_[1903] * vX_[367] + vX_[9183] * vX_[354];
+ vX_[1401] = vX_[1389] * 0.1104774 + vX_[1396] * 0.0004405 + vX_[1401] * 0.025941;
+ vX_[1891] = (0 - vX_[1372]) * -8.81e-05;
+ vX_[8850] = vX_[1891] + vX_[8850];
+ vX_[1414] = vX_[1372] * 0.0004405 + vX_[1389] * 8.81e-05 + vX_[1414] * 0.000468;
+ vX_[8850] = vX_[483] * vX_[1309] + vX_[9121] * vX_[1455] + vX_[4121] * vX_[1465] + vX_[1401] * vX_[1342] +
+ vX_[8850] * vX_[1241] + vX_[8850] * vX_[1241] + vX_[1414] * x_in[29];
+ vX_[1891] = vX_[1891] + vX_[9122];
+ vX_[1405] = vX_[1372] * -0.1104774 + vX_[1396] * -8.81e-05 + vX_[1405] * 0.026409;
+ vX_[1891] = vX_[590] * vX_[1309] + vX_[9096] * vX_[2058] + vX_[743] * vX_[1465] + vX_[1401] * vX_[1241] +
+ vX_[1891] * vX_[1342] + vX_[1891] * vX_[1342] - vX_[1405] * x_in[29];
+ vX_[1401] = vX_[1377] * 0.47422804 + vX_[1379] * -0.0825825 + vX_[1387] * 0.081641 + (0 - vX_[1371]) * 2.1e-05 +
+ vX_[1385] * 0.000102;
+ vX_[9096] = (0 - vX_[1387]) * 0.007418;
+ vX_[9375] = vX_[9102] + vX_[9096] - vX_[9375];
+ vX_[9102] = vX_[1370] * vX_[297] + vX_[1377] * vX_[313] + vX_[1379] * vX_[302] + vX_[1371] * vX_[345] +
+ vX_[1385] * vX_[341];
+ vX_[9375] = vX_[4134] * -0.35 + vX_[8850] * vX_[277] + vX_[1891] * vX_[279] + vX_[8861] * vX_[1551] +
+ vX_[9365] * vX_[1116] + vX_[1654] * vX_[1109] + vX_[1401] * vX_[1616] + vX_[9375] * vX_[1547] +
+ vX_[9375] * vX_[1547] + vX_[9102] * x_in[28];
+ vX_[9096] = vX_[2089] - vX_[9096] - vX_[9376];
+ vX_[9376] = vX_[1370] * vX_[310] + vX_[1377] * vX_[314] + vX_[1379] * vX_[308] + vX_[1371] * vX_[339] +
+ vX_[1385] * vX_[345];
+ vX_[9096] = vX_[8850] * vX_[280] + vX_[1891] * vX_[277] + vX_[9346] * vX_[1551] + vX_[9370] * vX_[1460] +
+ vX_[9101] * vX_[1109] + vX_[1401] * vX_[1547] + vX_[9096] * vX_[1616] + vX_[9096] * vX_[1616] -
+ vX_[9376] * x_in[28];
+ vX_[9069] = vX_[8716] - vX_[9072] + vX_[9069];
+ vX_[9072] = vX_[1356] * 0.1466472 + vX_[1362] * -0.5824264 + vX_[1369] * -5.1e-05 + (0 - vX_[1365]) * -0.123672 +
+ (0 - vX_[1367]) * 3.6e-05;
+ vX_[8716] = vX_[1365] * 0.022734;
+ vX_[9120] = vX_[9348] - vX_[9120] - vX_[8716];
+ vX_[9348] = vX_[1356] * vX_[324] + vX_[1349] * vX_[591] + vX_[1362] * vX_[541] + vX_[1365] * vX_[539] +
+ vX_[1367] * vX_[593];
+ vX_[9120] = vX_[9375] * vX_[276] + vX_[9096] * vX_[303] + vX_[9069] * vX_[1767] + vX_[14] * vX_[1777] +
+ vX_[9072] * vX_[1026] + vX_[9109] * vX_[1274] + vX_[9120] * vX_[1130] + vX_[9120] * vX_[1130] -
+ vX_[9348] * x_in[27];
+ vX_[1626] = vX_[1626] * vX_[2050];
+ vX_[1628] = vX_[1628] * vX_[2050];
+ vX_[9109] = vX_[1626] * vX_[277] + vX_[1628] * vX_[279];
+ vX_[1629] = vX_[1629] * vX_[2050];
+ vX_[14] = 0 - vX_[1629];
+ vX_[1406] = vX_[1406] * vX_[2045];
+ vX_[1401] = vX_[1406] * vX_[277];
+ vX_[9370] = vX_[1406] * vX_[279];
+ vX_[9101] = 0 - vX_[9370];
+ vX_[1581] = vX_[1581] * vX_[2057];
+ vX_[9346] = vX_[1581] * vX_[279];
+ vX_[1415] = vX_[1415] * vX_[2045];
+ vX_[2089] = vX_[1415] * vX_[277];
+ vX_[9365] = vX_[1415] * vX_[279];
+ vX_[1654] = 0 - vX_[1581];
+ vX_[8861] = vX_[1654] * vX_[277];
+ vX_[1587] = vX_[1587] * vX_[2057];
+ vX_[4134] = 0 - vX_[1587];
+ vX_[743] = vX_[4134] * vX_[279];
+ vX_[590] = vX_[1587] * vX_[277];
+ vX_[1424] = vX_[1424] * vX_[2047];
+ vX_[1396] = vX_[1626] + vX_[1424];
+ vX_[1429] = vX_[1429] * vX_[2047];
+ vX_[1372] = 0 - vX_[1628] - vX_[1429];
+ vX_[9122] = vX_[1396] * vX_[279] + vX_[1372] * vX_[277];
+ vX_[9121] = vX_[1424] * vX_[277] + vX_[1429] * vX_[279];
+ vX_[1603] = vX_[1603] * vX_[2057] + vX_[1443] * vX_[2045];
+ vX_[1443] = 0 - vX_[1603];
+ vX_[4121] = 0 - vX_[1603];
+ vX_[483] = vX_[4121] * vX_[277];
+ vX_[1389] = vX_[1603] * vX_[279];
+ vX_[1880] = vX_[1604] * vX_[1520] + vX_[2054] * vX_[1470] + vX_[2060] * vX_[1504];
+ vX_[1878] = 0 - vX_[1880];
+ vX_[1874] = vX_[1604] * vX_[1606] + vX_[2054] * vX_[1505] + vX_[2060] * vX_[1464];
+ vX_[1873] = vX_[1878] * x_in[18] + vX_[1874] * x_in[19];
+ vX_[1868] = 0 - vX_[1873];
+ vX_[1844] = 0 - vX_[1873];
+ vX_[1842] = vX_[1844] * vX_[277];
+ vX_[1838] = vX_[1873] * vX_[1473];
+ vX_[1604] = vX_[1604] * vX_[1502] + vX_[2054] * vX_[1521] + vX_[2060] * vX_[1607];
+ jac[1026] = vX_[9362] * vX_[1000] + vX_[9367] * vX_[1460] + vX_[9376] * vX_[1149] + vX_[9102] * vX_[1547] +
+ vX_[1866] + vX_[1604] * vX_[1526] + vX_[1880] * vX_[1477] + vX_[1874] * vX_[1511];
+ jac[1062] = vX_[2077] * vX_[2052] + vX_[9094] * vX_[2058] + vX_[1405] * vX_[1609] + vX_[1414] * vX_[1241] +
+ vX_[9095] + vX_[1604] * vX_[1535] + vX_[1880] * vX_[1488] + vX_[1874] * vX_[1508];
+ vX_[1405] = vX_[1604] * x_in[29];
+ vX_[1414] = vX_[1405] * vX_[277];
+ vX_[2077] = vX_[1405] * vX_[1473];
+ vX_[9094] = vX_[1604] * x_in[28];
+ vX_[9095] = vX_[9094] * vX_[1473];
+ vX_[9376] = vX_[1880] * x_in[27];
+ vX_[9102] = vX_[9094] * vX_[277];
+ vX_[9362] = vX_[9376] * vX_[277];
+ vX_[9367] = vX_[9376] * vX_[1473];
+ vX_[1866] = vX_[1649] * vX_[1563];
+ vX_[2060] = 0 - vX_[1866];
+ vX_[2054] = 0 - vX_[1866];
+ vX_[1836] = vX_[2054] * vX_[277];
+ vX_[1833] = vX_[1866] * vX_[1473];
+ vX_[1832] = sin(x_in[9]);
+ vX_[9067] = 0 - vX_[9067];
+ vX_[1825] = vX_[1896] + vX_[428];
+ vX_[1823] = 0 - vX_[9110];
+ vX_[1820] = 0 - vX_[9353];
+ vX_[1916] = 0 - vX_[1916] + vX_[1145];
+ vX_[1145] = 0 - vX_[47];
+ vX_[1390] = vX_[1390] * vX_[2045];
+ vX_[1819] = vX_[1390] * vX_[279];
+ vX_[1397] = vX_[1397] * vX_[2045];
+ vX_[1817] = vX_[1397] * vX_[277];
+ vX_[1402] = vX_[1402] * vX_[2045];
+ vX_[1579] = vX_[1579] * vX_[2057];
+ vX_[1632] = vX_[1632] * vX_[2050];
+ vX_[1816] = vX_[1632] * vX_[277];
+ vX_[1806] = vX_[1632] * vX_[279];
+ vX_[1804] = 0 - vX_[1806];
+ vX_[1598] = vX_[1598] * vX_[1435];
+ vX_[1801] = vX_[1598] * vX_[279];
+ vX_[1640] = vX_[1640] * vX_[2050];
+ vX_[1800] = vX_[1640] * vX_[277];
+ vX_[1798] = vX_[1640] * vX_[279];
+ vX_[1796] = 0 - vX_[1390] - vX_[1598];
+ vX_[1601] = vX_[1601] * vX_[1435];
+ vX_[1792] = 0 - vX_[1397] - vX_[1601];
+ vX_[1790] = vX_[1796] * vX_[277] + vX_[1792] * vX_[279];
+ vX_[1786] = vX_[1601] * vX_[277];
+ vX_[1592] = vX_[1592] * vX_[2057] + vX_[1442] * vX_[2050];
+ vX_[1442] = vX_[1592] * vX_[277];
+ vX_[1784] = 0 - vX_[1874];
+ vX_[1759] = vX_[1604] * x_in[18] + vX_[1784] * x_in[20];
+ vX_[1757] = vX_[1759] * vX_[1473];
+ vX_[1751] = vX_[1604] * x_in[27];
+ vX_[1746] = vX_[1880] * x_in[29];
+ vX_[1745] = 0 - vX_[1746];
+ vX_[1741] = vX_[1745] * vX_[277];
+ vX_[1738] = vX_[1746] * vX_[1473];
+ vX_[1736] = vX_[1880] * x_in[28];
+ vX_[1731] = 0 - vX_[1736];
+ vX_[1728] = vX_[1751] * vX_[277];
+ vX_[1722] = 0 - vX_[1736];
+ vX_[1719] = vX_[1722] * vX_[277];
+ vX_[1709] = vX_[1751] * vX_[1473];
+ vX_[1703] = vX_[1736] * vX_[1473];
+ vX_[1701] = vX_[1649] * vX_[1556];
+ vX_[457] = vX_[1759] * vX_[277] + vX_[1701] * vX_[277];
+ vX_[456] = vX_[1592] * vX_[279] + vX_[1701] * vX_[1473];
+ vX_[455] = cos(x_in[9]);
+ jac[342] =
+ 0 -
+ (vX_[738] * vX_[1400] + vX_[673] * vX_[1580] + vX_[9325] * vX_[711] + vX_[9183] * vX_[713] +
+ vX_[3731] * vX_[370] + vX_[428] * vX_[693] + vX_[416] * vX_[353] + vX_[499] * vX_[677] +
+ vX_[2081] * vX_[378] + vX_[424] * vX_[655] + vX_[9221] * vX_[654] + vX_[406] * vX_[651] +
+ vX_[393] * vX_[387] + vX_[4138] * vX_[601] + vX_[433] * vX_[603] + vX_[689] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[1343] * x_in[22] + vX_[9119] * x_in[19] +
+ (vX_[669] * vX_[1400] + vX_[1782] * vX_[367] + vX_[1343] * x_in[20]) * 0.3735 -
+ (vX_[714] * vX_[1279] + vX_[9244] * x_in[23]) + (vX_[673] * vX_[1279] + vX_[9244] * x_in[19]) * 0.3735 +
+ (vX_[162] * vX_[1279] + vX_[9351] * vX_[543] + vX_[47] * vX_[597] + vX_[1954] * vX_[380] +
+ vX_[9090] * vX_[382] + vX_[9110] * vX_[353] + vX_[9353] * vX_[362] + vX_[1944] * vX_[365] +
+ vX_[1942] * vX_[381] + vX_[15] * vX_[370] + vX_[1914] * vX_[541] + vX_[47] * vX_[594] +
+ vX_[1909] * vX_[324] + vX_[1907] * vX_[548] + vX_[9244] * x_in[18]) *
+ 0.207 -
+ (vX_[669] * vX_[1574] + vX_[1903] * vX_[710] + vX_[1902] * vX_[686] + vX_[1898] * vX_[353] +
+ vX_[1896] * vX_[694] + vX_[418] * vX_[652] + vX_[8856] * vX_[388] + vX_[9104] * vX_[678] +
+ vX_[1734] * vX_[653] + vX_[9088] * vX_[596] + vX_[8431] * vX_[377] + vX_[9082] * vX_[600] +
+ vX_[9116] * vX_[630] + vX_[458] * vX_[598] + vX_[1876] * vX_[549] + vX_[1782] * vX_[368] +
+ vX_[9120] * x_in[20]) +
+ vX_[1373] * vX_[2045] + vX_[1597] * vX_[1435] + vX_[9109] * vX_[275] + vX_[14] * vX_[275] * 0.35 +
+ vX_[1629] * 0.3735 + vX_[1401] * 0.35 + vX_[1401] * vX_[303] * 0.08 + vX_[1401] * vX_[275] * -0.3735 +
+ vX_[9101] * vX_[303] * 0.3735 + vX_[9370] * vX_[275] * -0.08 + vX_[9346] * vX_[303] * -0.207 +
+ vX_[2089] * vX_[303] * 0.3735 + vX_[2089] * vX_[275] * 0.08 + vX_[9365] * 0.35 +
+ vX_[9365] * vX_[303] * 0.08 + vX_[9365] * vX_[275] * -0.3735 +
+ (vX_[8861] * vX_[275] + vX_[743] * vX_[275]) * 0.207 + vX_[590] * vX_[303] * 0.207 + vX_[9122] * vX_[303] +
+ vX_[9121] * vX_[275] + (0 - vX_[1603]) * 0.08 + vX_[1443] * vX_[303] * 0.35 + vX_[483] * vX_[303] * 0.33 +
+ vX_[1389] * vX_[275] * 0.33 + (0 - vX_[1873]) * 0.08 + vX_[1868] * vX_[303] * 0.35 +
+ vX_[1842] * vX_[303] * 0.33 + vX_[1838] * vX_[275] * 0.33 + vX_[1414] * vX_[275] * 0.33 +
+ vX_[2077] * vX_[303] * 0.33 + vX_[9094] * vX_[275] * 0.35 + vX_[9095] * vX_[303] * 0.33 + vX_[9376] * 0.08 +
+ vX_[9376] * vX_[303] * 0.35 + (vX_[9102] * vX_[275] + vX_[9362] * vX_[303]) * 0.33 +
+ vX_[9367] * vX_[275] * -0.33 + (0 - vX_[1866]) * 0.08 + vX_[2060] * vX_[303] * 0.35 +
+ vX_[1836] * vX_[303] * 0.33 + vX_[1833] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[714] * vX_[1400] + vX_[738] * vX_[1279] + vX_[669] * vX_[1580] + vX_[673] * vX_[1574] +
+ vX_[1903] * vX_[713] + vX_[9325] * vX_[709] + vX_[9183] * vX_[710] + vX_[1902] * vX_[370] +
+ vX_[9067] * vX_[686] + vX_[1898] * vX_[693] + vX_[1825] * vX_[353] + vX_[416] * vX_[694] +
+ vX_[499] * vX_[678] + vX_[418] * vX_[655] + vX_[8856] * vX_[378] + vX_[2081] * vX_[388] +
+ vX_[9104] * vX_[677] + vX_[424] * vX_[652] + vX_[1734] * vX_[654] + vX_[9088] * vX_[651] +
+ vX_[9221] * vX_[653] + vX_[406] * vX_[596] + vX_[8431] * vX_[387] + vX_[393] * vX_[377] +
+ vX_[9082] * vX_[603] + vX_[4138] * vX_[599] + vX_[433] * vX_[600] + vX_[9116] * vX_[631] +
+ vX_[9343] * vX_[630] + vX_[458] * vX_[545] + vX_[42] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[1782] * vX_[366] +
+ (vX_[9337] * vX_[595] + vX_[1955] * vX_[333] + vX_[555] * vX_[382] + vX_[1951] * vX_[357] +
+ vX_[9087] * vX_[371] + vX_[1823] * vX_[356] + vX_[9093] * vX_[365] + vX_[1820] * vX_[353] +
+ vX_[9327] * vX_[370] + vX_[1916] * vX_[381] + vX_[9337] * vX_[591] + vX_[1145] * vX_[540] +
+ vX_[555] * vX_[386] + vX_[9087] * vX_[537]) *
+ 0.207 +
+ vX_[1343] * x_in[23] + vX_[9244] * x_in[22] + vX_[9119] * x_in[20] + vX_[9120] * x_in[19] +
+ (vX_[673] * vX_[1400] + vX_[1782] * vX_[354] + vX_[1343] * x_in[19]) * -0.3735 +
+ (vX_[162] * vX_[1400] + vX_[1343] * x_in[18]) * -0.207 +
+ (vX_[669] * vX_[1279] + vX_[9244] * x_in[20]) * 0.3735 + vX_[1625] * vX_[2050] + vX_[1423] * vX_[2047] -
+ vX_[1819] * vX_[303] + vX_[1817] * vX_[303] + (0 - vX_[1402]) * 0.3735 + vX_[1402] * vX_[275] * 0.35 +
+ (0 - vX_[1579]) * 0.207 + vX_[1816] * 0.35 + vX_[1816] * vX_[303] * 0.08 + vX_[1816] * vX_[275] * -0.3735 +
+ vX_[1804] * vX_[303] * 0.3735 + (0 - vX_[1806] * vX_[275]) * 0.08 - vX_[1801] * vX_[303] +
+ vX_[1800] * vX_[303] * 0.3735 + vX_[1800] * vX_[275] * 0.08 + vX_[1798] * 0.35 +
+ vX_[1798] * vX_[303] * 0.08 + vX_[1798] * vX_[275] * -0.3735 + vX_[1790] * vX_[275] + vX_[1786] * vX_[303] +
+ vX_[1592] * 0.08 + vX_[1592] * vX_[303] * 0.35 + vX_[1442] * vX_[303] * 0.33 + vX_[1759] * 0.08 +
+ vX_[1759] * vX_[303] * 0.35 + vX_[1757] * vX_[275] * -0.33 + vX_[1751] * 0.08 +
+ vX_[1751] * vX_[303] * 0.35 + vX_[1741] * vX_[275] * 0.33 + vX_[1738] * vX_[303] * -0.33 +
+ vX_[1731] * vX_[275] * 0.35 + (vX_[1728] * vX_[303] + vX_[1719] * vX_[275]) * 0.33 +
+ (vX_[1709] * vX_[275] + vX_[1703] * vX_[303]) * -0.33 + vX_[1701] * 0.08 + vX_[1701] * vX_[303] * 0.35 +
+ vX_[457] * vX_[303] * 0.33 + vX_[456] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[1629] = vX_[708] - vX_[2121];
+ vX_[1903] = vX_[2115] + vX_[3687];
+ vX_[1951] = vX_[2111] + vX_[1542];
+ vX_[1954] = 0 - vX_[1951];
+ vX_[1782] = vX_[1629] * vX_[273];
+ vX_[1955] = vX_[1629] * vX_[354];
+ vX_[1734] = vX_[2112] + vX_[3691];
+ vX_[9351] = vX_[1883] + vX_[1503];
+ vX_[9343] = vX_[1886] + vX_[3695];
+ vX_[9116] = vX_[1685] + vX_[2122];
+ vX_[9088] = vX_[9116] * vX_[354] + vX_[9343] * vX_[273];
+ vX_[9104] = vX_[9116] * vX_[367] + vX_[9343] * vX_[354];
+ vX_[9090] = vX_[3036] + vX_[9099];
+ vX_[8431] = 0 - (vX_[2109] + vX_[2120]) + vX_[9090];
+ vX_[42] = vX_[1544] - vX_[2923];
+ vX_[1876] = vX_[2118] + vX_[3678];
+ vX_[458] = vX_[1243] + vX_[1569];
+ vX_[9082] = 0 - vX_[458];
+ vX_[560] = vX_[42] * vX_[273];
+ vX_[9208] = vX_[42] * vX_[354];
+ vX_[689] = vX_[2308] * 0.881 + (0 - vX_[2310]) * 0.0004405 + vX_[2312] * -8.81e-05;
+ vX_[433] = vX_[2306] * -0.881;
+ vX_[4138] = vX_[2310] * 0.1104774;
+ vX_[393] = vX_[2314] * -8.81e-05;
+ vX_[8856] = vX_[433] - vX_[4138] + vX_[393];
+ vX_[406] = vX_[689] * vX_[1241] + vX_[8856] * vX_[1342];
+ vX_[9221] = vX_[2298] * 3.146 + (0 - vX_[2305]) * -0.0825825;
+ vX_[418] = vX_[2297] * -3.146;
+ vX_[424] = vX_[2305] * 0.47422804;
+ vX_[2081] = vX_[418] - vX_[424];
+ vX_[499] = vX_[406] + vX_[9221] * vX_[1547] + vX_[2081] * vX_[1616];
+ vX_[9183] = vX_[2285] * 3.44 + vX_[2288] * -0.5824264;
+ vX_[9325] = 0 - vX_[9183];
+ vX_[1625] = vX_[2276] * 3.44 + (0 - vX_[2288]) * 0.1466472;
+ vX_[1597] = vX_[2276] * vX_[370] + vX_[2252] * vX_[353] + vX_[2285] * vX_[362] + vX_[2288] * vX_[541] +
+ vX_[2290] * vX_[594];
+ vX_[1423] = vX_[499] + vX_[9325] * vX_[1026] + vX_[1625] * vX_[1130] + vX_[1597] * x_in[27];
+ vX_[1373] = 0 - vX_[689];
+ vX_[393] = 0 - vX_[433] + vX_[4138] - vX_[393];
+ vX_[4138] = vX_[2295] * 0.0004405 + vX_[2306] * -8.81e-05 + vX_[2314] * -0.000227999999999999;
+ vX_[433] = vX_[2295] * 0.1104774 + vX_[2308] * -8.81e-05 + (0 - vX_[2312]) * 0.025713;
+ vX_[454] = (0 - vX_[2306]) * 0.0004405;
+ vX_[453] = (0 - vX_[2308]) * 0.1104774;
+ vX_[446] = vX_[454] + vX_[453];
+ vX_[446] = vX_[1373] * vX_[2058] + vX_[393] * vX_[1455] + vX_[4138] * vX_[1241] + vX_[433] * vX_[1342] +
+ vX_[446] * vX_[1465] + vX_[446] * vX_[1465];
+ vX_[445] = vX_[2295] * 0.881 + (0 - vX_[2312]) * 0.1104774 + vX_[2314] * 0.0004405;
+ vX_[423] = vX_[2306] * 0.00185880198235362 + vX_[2308] * 0.880992588508842 + vX_[2312] * -8.81e-05;
+ vX_[1373] = vX_[1373] * vX_[1465] + vX_[445] * vX_[1342] + vX_[423] * x_in[29];
+ vX_[422] = 0 - vX_[445];
+ vX_[409] = vX_[2306] * 0.414812462825713 + vX_[2308] * 0.00185880198235362 + vX_[2314] * 8.81e-05;
+ vX_[393] = vX_[393] * vX_[1465] + vX_[422] * vX_[1241] - vX_[409] * x_in[29];
+ vX_[414] = 0 - vX_[9221];
+ vX_[424] = 0 - vX_[418] + vX_[424];
+ vX_[418] = vX_[2293] * -0.0825825 + (0 - vX_[2305]) * 0.000102 + vX_[2294] * 0.007418 + vX_[2303] * 0.002735;
+ vX_[413] = vX_[2293] * 0.47422804 + vX_[2305] * 2.1e-05 + (0 - vX_[2294]) * 0.084376 + (0 - vX_[2303]) * 0.007418;
+ vX_[412] = (0 - vX_[2297]) * -0.0825825;
+ vX_[411] = (0 - vX_[2298]) * 0.47422804;
+ vX_[410] = vX_[2294] * 0.000102;
+ vX_[408] = (0 - vX_[2303]) * 2.1e-05;
+ vX_[407] = vX_[412] + vX_[411] + vX_[410] + vX_[408];
+ vX_[407] = vX_[446] + vX_[1373] * vX_[1388] + vX_[393] * vX_[282] + vX_[414] * vX_[1460] + vX_[424] * vX_[1116] +
+ vX_[418] * vX_[1547] + vX_[413] * vX_[1616] + vX_[407] * vX_[1109] + vX_[407] * vX_[1109];
+ vX_[401] = vX_[2293] * 3.146 + (0 - vX_[2294]) * 0.47422804 + vX_[2303] * -0.0825825;
+ vX_[405] = vX_[2297] * vX_[330] + vX_[2298] * vX_[329] + vX_[2294] * vX_[308] + vX_[2303] * vX_[302];
+ vX_[414] =
+ vX_[1373] * vX_[277] + vX_[393] * vX_[279] + vX_[414] * vX_[1109] + vX_[401] * vX_[1616] + vX_[405] * x_in[28];
+ vX_[404] = 0 - vX_[401];
+ vX_[403] = vX_[2297] * vX_[328] + vX_[2298] * vX_[330] + vX_[2294] * vX_[314] + vX_[2303] * vX_[313];
+ vX_[424] =
+ vX_[1373] * vX_[1380] + vX_[393] * vX_[277] + vX_[424] * vX_[1109] + vX_[404] * vX_[1547] - vX_[403] * x_in[28];
+ vX_[402] = 0 - vX_[1625];
+ vX_[400] = vX_[2252] * -0.5824264 + (0 - vX_[2292]) * 0.022734 + vX_[2288] * 3.6e-05 + vX_[2290] * -0.133138;
+ vX_[399] = vX_[2252] * 0.1466472 + vX_[2292] * 0.009466 + (0 - vX_[2288]) * -5.1e-05 + vX_[2290] * 0.022734;
+ vX_[398] = (0 - vX_[2276]) * -0.5824264;
+ vX_[397] = (0 - vX_[2285]) * 0.1466472;
+ vX_[396] = (0 - vX_[2292]) * 3.6e-05;
+ vX_[395] = (0 - vX_[2290]) * -5.1e-05;
+ vX_[2078] = vX_[398] + vX_[397] + vX_[396] - vX_[395];
+ vX_[9068] = vX_[2276] * vX_[386] + vX_[2252] * vX_[540] + vX_[2285] * vX_[594] + vX_[2288] * vX_[593] +
+ vX_[2290] * vX_[350];
+ vX_[2078] = vX_[407] + vX_[414] * vX_[1376] + vX_[424] * vX_[321] + vX_[9183] * vX_[1767] + vX_[402] * vX_[1126] +
+ vX_[400] * vX_[1026] + vX_[399] * vX_[1130] + vX_[2078] * vX_[1274] + vX_[2078] * vX_[1274] +
+ vX_[9068] * x_in[27];
+ vX_[440] = vX_[3733] - vX_[2923];
+ vX_[435] = vX_[440] * vX_[354] + vX_[1876] * vX_[273];
+ vX_[1747] = vX_[440] * vX_[367] + vX_[1876] * vX_[354];
+ vX_[1120] = vX_[1747] + vX_[560];
+ vX_[1704] = vX_[435] * vX_[367] + vX_[1120] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[1899] = 0 - vX_[1704];
+ vX_[1947] = vX_[2923] + vX_[435] * vX_[354] + vX_[560] * vX_[273];
+ vX_[9080] = 0 - vX_[1947];
+ vX_[9078] = vX_[2923] + vX_[1747] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[9077] = vX_[1234] + vX_[2119] - vX_[9351];
+ vX_[9076] = vX_[9090] * vX_[354] + vX_[9351] * vX_[273];
+ vX_[9075] = 0 - (vX_[9077] * vX_[367] + vX_[8431] * vX_[354]) + vX_[9076];
+ vX_[463] = vX_[9075] + vX_[1947] * vX_[355];
+ vX_[459] = 0 - vX_[463];
+ vX_[429] = vX_[9090] * vX_[367] + vX_[9351] * vX_[354];
+ vX_[419] = vX_[9077] * vX_[354] + vX_[8431] * vX_[273] + vX_[429];
+ vX_[1963] = 0 - vX_[9078];
+ vX_[482] = vX_[419] + vX_[1704] * vX_[355] + vX_[1963] * vX_[274];
+ vX_[1904] = vX_[2108] + vX_[3484];
+ vX_[9202] = vX_[1734] * vX_[354] + vX_[1904] * vX_[367];
+ vX_[9179] = vX_[9202] * vX_[354] + vX_[9104] * vX_[273];
+ vX_[8678] = vX_[2127] + vX_[1733];
+ vX_[458] = 0 - vX_[458];
+ vX_[9242] = vX_[8678] * vX_[367] + vX_[458] * vX_[354];
+ vX_[9204] = 0 - vX_[9242];
+ vX_[9216] = vX_[9179] + vX_[9204] * vX_[274] + vX_[9080] * vX_[369];
+ vX_[8663] = 0 - vX_[9216];
+ vX_[1775] = vX_[1734] * vX_[273] + vX_[1904] * vX_[354];
+ vX_[994] = vX_[1775] * vX_[367] + vX_[9088] * vX_[354];
+ vX_[1148] = vX_[8678] * vX_[354] + vX_[9082] * vX_[273];
+ vX_[1620] = 0 - vX_[1148];
+ vX_[8430] = vX_[994] + vX_[1620] * vX_[355] + vX_[9078] * vX_[369];
+ vX_[9211] = vX_[1775] * vX_[354] + vX_[9088] * vX_[273];
+ vX_[8249] = vX_[9211] + vX_[9242] * vX_[355];
+ vX_[1612] = vX_[9202] * vX_[367] + vX_[9104] * vX_[354];
+ vX_[29] = vX_[1612] + vX_[1148] * vX_[274] + vX_[1899] * vX_[369];
+ vX_[22] = 0 - vX_[8249] + vX_[29];
+ vX_[9218] = 0 - vX_[1704];
+ vX_[9196] = 0 - vX_[1947];
+ vX_[9080] = vX_[1899] * vX_[597] + vX_[9080] * vX_[543] + vX_[9078] * vX_[333] + vX_[459] * vX_[370] +
+ vX_[482] * vX_[381] + vX_[8663] * vX_[362] + vX_[8430] * vX_[356] + vX_[22] * vX_[353] +
+ vX_[9218] * vX_[594] + vX_[1704] * vX_[591] + vX_[9196] * vX_[542] + vX_[9078] * vX_[546];
+ vX_[1899] = vX_[2252] * -3.44;
+ vX_[9245] = vX_[2292] * 0.1466472;
+ vX_[8661] = vX_[2290] * -0.5824264;
+ vX_[8665] = 0 - vX_[1899] + vX_[9245] - vX_[8661];
+ vX_[9181] = vX_[2276] * vX_[381] + vX_[2252] * vX_[356] + vX_[2285] * vX_[353] + vX_[2288] * vX_[591] +
+ vX_[2290] * vX_[540];
+ vX_[402] = vX_[414] * vX_[1375] + vX_[424] * vX_[303] + vX_[8665] * vX_[1026] + vX_[402] * vX_[1274] -
+ vX_[9181] * x_in[27];
+ vX_[8660] = vX_[3733] + vX_[1544] + vX_[2923] - vX_[1947] - vX_[9078];
+ vX_[9212] = 0 - vX_[8660];
+ vX_[9076] = vX_[9076] + vX_[9212] * vX_[355];
+ vX_[429] = vX_[429] + vX_[8660] * vX_[274];
+ vX_[8432] = 0 - vX_[482];
+ vX_[9282] = 0 - vX_[8430];
+ vX_[9217] = vX_[1469] + vX_[1552] + vX_[1904] + vX_[9343] - vX_[9211] - vX_[1612];
+ vX_[29] = vX_[9217] - vX_[29];
+ vX_[9251] = 0 - vX_[9242];
+ vX_[9141] = 0 - vX_[1704];
+ vX_[1771] = 0 - vX_[9078];
+ vX_[1029] = vX_[3668] - vX_[2121];
+ vX_[8429] = vX_[2113] + vX_[685];
+ vX_[8720] = vX_[1029] * vX_[354] + vX_[1903] * vX_[273];
+ vX_[9178] = vX_[1029] * vX_[367] + vX_[1903] * vX_[354];
+ vX_[2310] = vX_[2306] * 0.1104774 + vX_[2308] * 0.0004405 + vX_[2310] * 0.025941;
+ vX_[9248] = (0 - vX_[2295]) * -8.81e-05;
+ vX_[453] = vX_[9248] + vX_[453];
+ vX_[2314] = vX_[2295] * 0.0004405 + vX_[2306] * 8.81e-05 + vX_[2314] * 0.000468;
+ vX_[453] = vX_[689] * vX_[1309] + vX_[422] * vX_[1455] + vX_[4138] * vX_[1465] + vX_[2310] * vX_[1342] +
+ vX_[453] * vX_[1241] + vX_[453] * vX_[1241] + vX_[2314] * x_in[29];
+ vX_[9248] = vX_[9248] + vX_[454];
+ vX_[2312] = vX_[2295] * -0.1104774 + vX_[2308] * -8.81e-05 + vX_[2312] * 0.026409;
+ vX_[9248] = vX_[8856] * vX_[1309] + vX_[445] * vX_[2058] + vX_[433] * vX_[1465] + vX_[2310] * vX_[1241] +
+ vX_[9248] * vX_[1342] + vX_[9248] * vX_[1342] - vX_[2312] * x_in[29];
+ vX_[2310] = vX_[2297] * 0.47422804 + vX_[2298] * -0.0825825 + vX_[2305] * 0.081641 + (0 - vX_[2294]) * 2.1e-05 +
+ vX_[2303] * 0.000102;
+ vX_[445] = (0 - vX_[2305]) * 0.007418;
+ vX_[408] = vX_[411] + vX_[445] - vX_[408];
+ vX_[411] = vX_[2293] * vX_[297] + vX_[2297] * vX_[313] + vX_[2298] * vX_[302] + vX_[2294] * vX_[345] +
+ vX_[2303] * vX_[341];
+ vX_[408] = vX_[406] * -0.35 + vX_[453] * vX_[277] + vX_[9248] * vX_[279] + vX_[9221] * vX_[1551] +
+ vX_[404] * vX_[1116] + vX_[418] * vX_[1109] + vX_[2310] * vX_[1616] + vX_[408] * vX_[1547] +
+ vX_[408] * vX_[1547] + vX_[411] * x_in[28];
+ vX_[445] = vX_[412] - vX_[445] - vX_[410];
+ vX_[410] = vX_[2293] * vX_[310] + vX_[2297] * vX_[314] + vX_[2298] * vX_[308] + vX_[2294] * vX_[339] +
+ vX_[2303] * vX_[345];
+ vX_[445] = vX_[453] * vX_[280] + vX_[9248] * vX_[277] + vX_[2081] * vX_[1551] + vX_[401] * vX_[1460] +
+ vX_[413] * vX_[1109] + vX_[2310] * vX_[1547] + vX_[445] * vX_[1616] + vX_[445] * vX_[1616] -
+ vX_[410] * x_in[28];
+ vX_[8661] = vX_[1899] - vX_[9245] + vX_[8661];
+ vX_[9245] = vX_[2276] * 0.1466472 + vX_[2285] * -0.5824264 + vX_[2292] * -5.1e-05 + (0 - vX_[2288]) * -0.123672 +
+ (0 - vX_[2290]) * 3.6e-05;
+ vX_[1899] = vX_[2288] * 0.022734;
+ vX_[396] = vX_[398] - vX_[396] - vX_[1899];
+ vX_[398] = vX_[2276] * vX_[324] + vX_[2252] * vX_[591] + vX_[2285] * vX_[541] + vX_[2288] * vX_[539] +
+ vX_[2290] * vX_[593];
+ vX_[396] = vX_[408] * vX_[276] + vX_[445] * vX_[303] + vX_[8661] * vX_[1767] + vX_[1625] * vX_[1777] +
+ vX_[9245] * vX_[1026] + vX_[399] * vX_[1274] + vX_[396] * vX_[1130] + vX_[396] * vX_[1130] -
+ vX_[398] * x_in[27];
+ vX_[2341] = vX_[2341] * vX_[2050];
+ vX_[2342] = vX_[2342] * vX_[2050];
+ vX_[399] = vX_[2341] * vX_[277] + vX_[2342] * vX_[279];
+ vX_[2343] = vX_[2343] * vX_[2050];
+ vX_[1625] = 0 - vX_[2343];
+ vX_[2313] = vX_[2313] * vX_[2045];
+ vX_[2310] = vX_[2313] * vX_[277];
+ vX_[401] = vX_[2313] * vX_[279];
+ vX_[413] = 0 - vX_[401];
+ vX_[2329] = vX_[2329] * vX_[2057];
+ vX_[2081] = vX_[2329] * vX_[279];
+ vX_[2315] = vX_[2315] * vX_[2045];
+ vX_[412] = vX_[2315] * vX_[277];
+ vX_[404] = vX_[2315] * vX_[279];
+ vX_[418] = 0 - vX_[2329];
+ vX_[9221] = vX_[418] * vX_[277];
+ vX_[2330] = vX_[2330] * vX_[2057];
+ vX_[406] = 0 - vX_[2330];
+ vX_[433] = vX_[406] * vX_[279];
+ vX_[8856] = vX_[2330] * vX_[277];
+ vX_[2317] = vX_[2317] * vX_[2047];
+ vX_[2308] = vX_[2341] + vX_[2317];
+ vX_[2318] = vX_[2318] * vX_[2047];
+ vX_[2295] = 0 - vX_[2342] - vX_[2318];
+ vX_[454] = vX_[2308] * vX_[279] + vX_[2295] * vX_[277];
+ vX_[422] = vX_[2317] * vX_[277] + vX_[2318] * vX_[279];
+ vX_[2335] = vX_[2335] * vX_[2057] + vX_[2323] * vX_[2045];
+ vX_[2323] = 0 - vX_[2335];
+ vX_[4138] = 0 - vX_[2335];
+ vX_[689] = vX_[4138] * vX_[277];
+ vX_[2306] = vX_[2335] * vX_[279];
+ vX_[9249] = vX_[2336] * vX_[1520] + vX_[2470] * vX_[1470] + vX_[2473] * vX_[1504];
+ vX_[8657] = 0 - vX_[9249];
+ vX_[8658] = vX_[2336] * vX_[1606] + vX_[2470] * vX_[1505] + vX_[2473] * vX_[1464];
+ vX_[8719] = vX_[8657] * x_in[18] + vX_[8658] * x_in[19];
+ vX_[8694] = 0 - vX_[8719];
+ vX_[8693] = 0 - vX_[8719];
+ vX_[8699] = vX_[8693] * vX_[277];
+ vX_[8700] = vX_[8719] * vX_[1473];
+ vX_[2336] = vX_[2336] * vX_[1502] + vX_[2470] * vX_[1521] + vX_[2473] * vX_[1607];
+ jac[1027] = vX_[403] * vX_[1000] + vX_[405] * vX_[1460] + vX_[410] * vX_[1149] + vX_[411] * vX_[1547] + vX_[407] +
+ vX_[2336] * vX_[1526] + vX_[9249] * vX_[1477] + vX_[8658] * vX_[1511];
+ jac[1063] = vX_[409] * vX_[2052] + vX_[423] * vX_[2058] + vX_[2312] * vX_[1609] + vX_[2314] * vX_[1241] + vX_[446] +
+ vX_[2336] * vX_[1535] + vX_[9249] * vX_[1488] + vX_[8658] * vX_[1508];
+ vX_[2312] = vX_[2336] * x_in[29];
+ vX_[2314] = vX_[2312] * vX_[277];
+ vX_[409] = vX_[2312] * vX_[1473];
+ vX_[423] = vX_[2336] * x_in[28];
+ vX_[446] = vX_[423] * vX_[1473];
+ vX_[410] = vX_[9249] * x_in[27];
+ vX_[411] = vX_[423] * vX_[277];
+ vX_[403] = vX_[410] * vX_[277];
+ vX_[405] = vX_[410] * vX_[1473];
+ vX_[407] = vX_[2347] * vX_[1563];
+ vX_[2473] = 0 - vX_[407];
+ vX_[2470] = 0 - vX_[407];
+ vX_[9316] = vX_[2470] * vX_[277];
+ vX_[9315] = vX_[407] * vX_[1473];
+ vX_[1951] = 0 - vX_[1951];
+ vX_[9313] = vX_[9178] + vX_[1782];
+ vX_[9309] = 0 - vX_[9076];
+ vX_[9306] = 0 - vX_[429];
+ vX_[9217] = 0 - vX_[9217] + vX_[8249];
+ vX_[8249] = 0 - vX_[1148];
+ vX_[2307] = vX_[2307] * vX_[2045];
+ vX_[9304] = vX_[2307] * vX_[279];
+ vX_[2309] = vX_[2309] * vX_[2045];
+ vX_[9301] = vX_[2309] * vX_[277];
+ vX_[2311] = vX_[2311] * vX_[2045];
+ vX_[2328] = vX_[2328] * vX_[2057];
+ vX_[2344] = vX_[2344] * vX_[2050];
+ vX_[9297] = vX_[2344] * vX_[277];
+ vX_[8704] = vX_[2344] * vX_[279];
+ vX_[8707] = 0 - vX_[8704];
+ vX_[2333] = vX_[2333] * vX_[1435];
+ vX_[9296] = vX_[2333] * vX_[279];
+ vX_[2345] = vX_[2345] * vX_[2050];
+ vX_[9294] = vX_[2345] * vX_[277];
+ vX_[8718] = vX_[2345] * vX_[279];
+ vX_[8706] = 0 - vX_[2307] - vX_[2333];
+ vX_[2334] = vX_[2334] * vX_[1435];
+ vX_[8717] = 0 - vX_[2309] - vX_[2334];
+ vX_[9285] = vX_[8706] * vX_[277] + vX_[8717] * vX_[279];
+ vX_[8680] = vX_[2334] * vX_[277];
+ vX_[2331] = vX_[2331] * vX_[2057] + vX_[2322] * vX_[2050];
+ vX_[2322] = vX_[2331] * vX_[277];
+ vX_[9279] = 0 - vX_[8658];
+ vX_[8791] = vX_[2336] * x_in[18] + vX_[9279] * x_in[20];
+ vX_[9262] = vX_[8791] * vX_[1473];
+ vX_[9223] = vX_[2336] * x_in[27];
+ vX_[8287] = vX_[9249] * x_in[29];
+ vX_[8685] = 0 - vX_[8287];
+ vX_[9275] = vX_[8685] * vX_[277];
+ vX_[9273] = vX_[8287] * vX_[1473];
+ vX_[8255] = vX_[9249] * x_in[28];
+ vX_[8708] = 0 - vX_[8255];
+ vX_[9255] = vX_[9223] * vX_[277];
+ vX_[8691] = 0 - vX_[8255];
+ vX_[8668] = vX_[8691] * vX_[277];
+ vX_[9222] = vX_[9223] * vX_[1473];
+ vX_[8703] = vX_[8255] * vX_[1473];
+ vX_[8688] = vX_[2347] * vX_[1556];
+ vX_[8690] = vX_[8791] * vX_[277] + vX_[8688] * vX_[277];
+ vX_[8702] = vX_[2331] * vX_[279] + vX_[8688] * vX_[1473];
+ jac[343] =
+ 0 -
+ (vX_[2114] * vX_[1400] + vX_[2128] * vX_[1580] + vX_[1629] * vX_[711] + vX_[1903] * vX_[713] +
+ vX_[1954] * vX_[370] + vX_[1782] * vX_[693] + vX_[1955] * vX_[353] + vX_[1734] * vX_[677] +
+ vX_[9351] * vX_[378] + vX_[9343] * vX_[655] + vX_[9088] * vX_[654] + vX_[9104] * vX_[651] +
+ vX_[8431] * vX_[387] + vX_[42] * vX_[601] + vX_[1876] * vX_[603] + vX_[9082] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[1423] * x_in[22] + vX_[2078] * x_in[19] +
+ (vX_[2123] * vX_[1400] + vX_[9080] * vX_[367] + vX_[1423] * x_in[20]) * 0.3735 -
+ (vX_[2116] * vX_[1279] + vX_[402] * x_in[23]) + (vX_[2128] * vX_[1279] + vX_[402] * x_in[19]) * 0.3735 +
+ (vX_[2134] * vX_[1279] + vX_[9204] * vX_[543] + vX_[1148] * vX_[597] + vX_[8660] * vX_[380] +
+ vX_[1963] * vX_[382] + vX_[9076] * vX_[353] + vX_[429] * vX_[362] + vX_[8432] * vX_[365] +
+ vX_[9282] * vX_[381] + vX_[29] * vX_[370] + vX_[9251] * vX_[541] + vX_[1148] * vX_[594] +
+ vX_[9141] * vX_[324] + vX_[1771] * vX_[548] + vX_[402] * x_in[18]) *
+ 0.207 -
+ (vX_[2123] * vX_[1574] + vX_[1029] * vX_[710] + vX_[8429] * vX_[686] + vX_[8720] * vX_[353] +
+ vX_[9178] * vX_[694] + vX_[9116] * vX_[652] + vX_[9090] * vX_[388] + vX_[1904] * vX_[678] +
+ vX_[1775] * vX_[653] + vX_[9202] * vX_[596] + vX_[9077] * vX_[377] + vX_[440] * vX_[600] +
+ vX_[8678] * vX_[630] + vX_[435] * vX_[598] + vX_[1747] * vX_[549] + vX_[9080] * vX_[368] +
+ vX_[396] * x_in[20]) +
+ vX_[2296] * vX_[2045] + vX_[2332] * vX_[1435] + vX_[399] * vX_[275] + vX_[1625] * vX_[275] * 0.35 +
+ vX_[2343] * 0.3735 + vX_[2310] * 0.35 + vX_[2310] * vX_[303] * 0.08 + vX_[2310] * vX_[275] * -0.3735 +
+ vX_[413] * vX_[303] * 0.3735 + vX_[401] * vX_[275] * -0.08 + vX_[2081] * vX_[303] * -0.207 +
+ vX_[412] * vX_[303] * 0.3735 + vX_[412] * vX_[275] * 0.08 + vX_[404] * 0.35 + vX_[404] * vX_[303] * 0.08 +
+ vX_[404] * vX_[275] * -0.3735 + (vX_[9221] * vX_[275] + vX_[433] * vX_[275]) * 0.207 +
+ vX_[8856] * vX_[303] * 0.207 + vX_[454] * vX_[303] + vX_[422] * vX_[275] + (0 - vX_[2335]) * 0.08 +
+ vX_[2323] * vX_[303] * 0.35 + vX_[689] * vX_[303] * 0.33 + vX_[2306] * vX_[275] * 0.33 +
+ (0 - vX_[8719]) * 0.08 + vX_[8694] * vX_[303] * 0.35 + vX_[8699] * vX_[303] * 0.33 +
+ vX_[8700] * vX_[275] * 0.33 + vX_[2314] * vX_[275] * 0.33 + vX_[409] * vX_[303] * 0.33 +
+ vX_[423] * vX_[275] * 0.35 + vX_[446] * vX_[303] * 0.33 + vX_[410] * 0.08 + vX_[410] * vX_[303] * 0.35 +
+ (vX_[411] * vX_[275] + vX_[403] * vX_[303]) * 0.33 + vX_[405] * vX_[275] * -0.33 + (0 - vX_[407]) * 0.08 +
+ vX_[2473] * vX_[303] * 0.35 + vX_[9316] * vX_[303] * 0.33 + vX_[9315] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[2116] * vX_[1400] + vX_[2114] * vX_[1279] + vX_[2123] * vX_[1580] + vX_[2128] * vX_[1574] +
+ vX_[1029] * vX_[713] + vX_[1629] * vX_[709] + vX_[1903] * vX_[710] + vX_[8429] * vX_[370] +
+ vX_[1951] * vX_[686] + vX_[8720] * vX_[693] + vX_[9313] * vX_[353] + vX_[1955] * vX_[694] +
+ vX_[1734] * vX_[678] + vX_[9116] * vX_[655] + vX_[9090] * vX_[378] + vX_[9351] * vX_[388] +
+ vX_[1904] * vX_[677] + vX_[9343] * vX_[652] + vX_[1775] * vX_[654] + vX_[9202] * vX_[651] +
+ vX_[9088] * vX_[653] + vX_[9104] * vX_[596] + vX_[9077] * vX_[387] + vX_[8431] * vX_[377] +
+ vX_[440] * vX_[603] + vX_[42] * vX_[599] + vX_[1876] * vX_[600] + vX_[8678] * vX_[631] +
+ vX_[458] * vX_[630] + vX_[435] * vX_[545] + vX_[1120] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[9080] * vX_[366] +
+ (vX_[9242] * vX_[595] + vX_[1620] * vX_[333] + vX_[1704] * vX_[382] + vX_[9212] * vX_[357] +
+ vX_[1947] * vX_[371] + vX_[9309] * vX_[356] + vX_[463] * vX_[365] + vX_[9306] * vX_[353] +
+ vX_[9216] * vX_[370] + vX_[9217] * vX_[381] + vX_[9242] * vX_[591] + vX_[8249] * vX_[540] +
+ vX_[1704] * vX_[386] + vX_[1947] * vX_[537]) *
+ 0.207 +
+ vX_[1423] * x_in[23] + vX_[402] * x_in[22] + vX_[2078] * x_in[20] + vX_[396] * x_in[19] +
+ (vX_[2128] * vX_[1400] + vX_[9080] * vX_[354] + vX_[1423] * x_in[19]) * -0.3735 +
+ (vX_[2134] * vX_[1400] + vX_[1423] * x_in[18]) * -0.207 +
+ (vX_[2123] * vX_[1279] + vX_[402] * x_in[20]) * 0.3735 + vX_[2340] * vX_[2050] + vX_[2316] * vX_[2047] -
+ vX_[9304] * vX_[303] + vX_[9301] * vX_[303] + (0 - vX_[2311]) * 0.3735 + vX_[2311] * vX_[275] * 0.35 +
+ (0 - vX_[2328]) * 0.207 + vX_[9297] * 0.35 + vX_[9297] * vX_[303] * 0.08 + vX_[9297] * vX_[275] * -0.3735 +
+ vX_[8707] * vX_[303] * 0.3735 + (0 - vX_[8704] * vX_[275]) * 0.08 - vX_[9296] * vX_[303] +
+ vX_[9294] * vX_[303] * 0.3735 + vX_[9294] * vX_[275] * 0.08 + vX_[8718] * 0.35 +
+ vX_[8718] * vX_[303] * 0.08 + vX_[8718] * vX_[275] * -0.3735 + vX_[9285] * vX_[275] + vX_[8680] * vX_[303] +
+ vX_[2331] * 0.08 + vX_[2331] * vX_[303] * 0.35 + vX_[2322] * vX_[303] * 0.33 + vX_[8791] * 0.08 +
+ vX_[8791] * vX_[303] * 0.35 + vX_[9262] * vX_[275] * -0.33 + vX_[9223] * 0.08 +
+ vX_[9223] * vX_[303] * 0.35 + vX_[9275] * vX_[275] * 0.33 + vX_[9273] * vX_[303] * -0.33 +
+ vX_[8708] * vX_[275] * 0.35 + (vX_[9255] * vX_[303] + vX_[8668] * vX_[275]) * 0.33 +
+ (vX_[9222] * vX_[275] + vX_[8703] * vX_[303]) * -0.33 + vX_[8688] * 0.08 + vX_[8688] * vX_[303] * 0.35 +
+ vX_[8690] * vX_[303] * 0.33 + vX_[8702] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[2343] = vX_[1846] - vX_[2520];
+ vX_[1029] = vX_[2514] + vX_[1158];
+ vX_[9212] = vX_[2511] + vX_[2124];
+ vX_[8660] = 0 - vX_[9212];
+ vX_[9080] = vX_[2343] * vX_[273];
+ vX_[1620] = vX_[2343] * vX_[354];
+ vX_[1775] = vX_[2125] + vX_[1242];
+ vX_[9204] = vX_[8375] + vX_[8352];
+ vX_[458] = vX_[8366] + vX_[1261];
+ vX_[8678] = vX_[8493] + vX_[2522];
+ vX_[9202] = vX_[8678] * vX_[354] + vX_[458] * vX_[273];
+ vX_[1904] = vX_[8678] * vX_[367] + vX_[458] * vX_[354];
+ vX_[1963] = vX_[8492] + vX_[8356];
+ vX_[9077] = 0 - (vX_[1939] + vX_[2519]) + vX_[1963];
+ vX_[1120] = vX_[8371] - vX_[8376];
+ vX_[1747] = vX_[2517] + vX_[1258];
+ vX_[435] = vX_[8346] + vX_[8355];
+ vX_[440] = 0 - vX_[435];
+ vX_[9208] = vX_[1120] * vX_[273];
+ vX_[560] = vX_[1120] * vX_[354];
+ vX_[9082] = vX_[2708] * 0.881 + (0 - vX_[2710]) * 0.0004405 + vX_[2712] * -8.81e-05;
+ vX_[1876] = vX_[2706] * -0.881;
+ vX_[42] = vX_[2710] * 0.1104774;
+ vX_[8431] = vX_[2714] * -8.81e-05;
+ vX_[9090] = vX_[1876] - vX_[42] + vX_[8431];
+ vX_[9104] = vX_[9082] * vX_[1241] + vX_[9090] * vX_[1342];
+ vX_[9088] = vX_[2698] * 3.146 + (0 - vX_[2705]) * -0.0825825;
+ vX_[9116] = vX_[2697] * -3.146;
+ vX_[9343] = vX_[2705] * 0.47422804;
+ vX_[9351] = vX_[9116] - vX_[9343];
+ vX_[1734] = vX_[9104] + vX_[9088] * vX_[1547] + vX_[9351] * vX_[1616];
+ vX_[1903] = vX_[2685] * 3.44 + vX_[2688] * -0.5824264;
+ vX_[1629] = 0 - vX_[1903];
+ vX_[2340] = vX_[2676] * 3.44 + (0 - vX_[2688]) * 0.1466472;
+ vX_[2332] = vX_[2676] * vX_[370] + vX_[2652] * vX_[353] + vX_[2685] * vX_[362] + vX_[2688] * vX_[541] +
+ vX_[2690] * vX_[594];
+ vX_[2316] = vX_[1734] + vX_[1629] * vX_[1026] + vX_[2340] * vX_[1130] + vX_[2332] * x_in[27];
+ vX_[2296] = 0 - vX_[9082];
+ vX_[8431] = 0 - vX_[1876] + vX_[42] - vX_[8431];
+ vX_[42] = vX_[2695] * 0.0004405 + vX_[2706] * -8.81e-05 + vX_[2714] * -0.000227999999999999;
+ vX_[1876] = vX_[2695] * 0.1104774 + vX_[2708] * -8.81e-05 + (0 - vX_[2712]) * 0.025713;
+ vX_[8686] = (0 - vX_[2706]) * 0.0004405;
+ vX_[8715] = (0 - vX_[2708]) * 0.1104774;
+ vX_[8714] = vX_[8686] + vX_[8715];
+ vX_[8714] = vX_[2296] * vX_[2058] + vX_[8431] * vX_[1455] + vX_[42] * vX_[1241] + vX_[1876] * vX_[1342] +
+ vX_[8714] * vX_[1465] + vX_[8714] * vX_[1465];
+ vX_[9236] = vX_[2695] * 0.881 + (0 - vX_[2712]) * 0.1104774 + vX_[2714] * 0.0004405;
+ vX_[9256] = vX_[2706] * 0.00185880198235362 + vX_[2708] * 0.880992588508842 + vX_[2712] * -8.81e-05;
+ vX_[2296] = vX_[2296] * vX_[1465] + vX_[9236] * vX_[1342] + vX_[9256] * x_in[29];
+ vX_[9225] = 0 - vX_[9236];
+ vX_[9224] = vX_[2706] * 0.414812462825713 + vX_[2708] * 0.00185880198235362 + vX_[2714] * 8.81e-05;
+ vX_[8431] = vX_[8431] * vX_[1465] + vX_[9225] * vX_[1241] - vX_[9224] * x_in[29];
+ vX_[8672] = 0 - vX_[9088];
+ vX_[9343] = 0 - vX_[9116] + vX_[9343];
+ vX_[9116] = vX_[2693] * -0.0825825 + (0 - vX_[2705]) * 0.000102 + vX_[2694] * 0.007418 + vX_[2703] * 0.002735;
+ vX_[8677] = vX_[2693] * 0.47422804 + vX_[2705] * 2.1e-05 + (0 - vX_[2694]) * 0.084376 + (0 - vX_[2703]) * 0.007418;
+ vX_[8671] = (0 - vX_[2697]) * -0.0825825;
+ vX_[8670] = (0 - vX_[2698]) * 0.47422804;
+ vX_[8667] = vX_[2694] * 0.000102;
+ vX_[8666] = (0 - vX_[2703]) * 2.1e-05;
+ vX_[8676] = vX_[8671] + vX_[8670] + vX_[8667] + vX_[8666];
+ vX_[8676] = vX_[8714] + vX_[2296] * vX_[1388] + vX_[8431] * vX_[282] + vX_[8672] * vX_[1460] +
+ vX_[9343] * vX_[1116] + vX_[9116] * vX_[1547] + vX_[8677] * vX_[1616] + vX_[8676] * vX_[1109] +
+ vX_[8676] * vX_[1109];
+ vX_[8675] = vX_[2693] * 3.146 + (0 - vX_[2694]) * 0.47422804 + vX_[2703] * -0.0825825;
+ vX_[8674] = vX_[2697] * vX_[330] + vX_[2698] * vX_[329] + vX_[2694] * vX_[308] + vX_[2703] * vX_[302];
+ vX_[8672] = vX_[2296] * vX_[277] + vX_[8431] * vX_[279] + vX_[8672] * vX_[1109] + vX_[8675] * vX_[1616] +
+ vX_[8674] * x_in[28];
+ vX_[8673] = 0 - vX_[8675];
+ vX_[8234] = vX_[2697] * vX_[328] + vX_[2698] * vX_[330] + vX_[2694] * vX_[314] + vX_[2703] * vX_[313];
+ vX_[9343] = vX_[2296] * vX_[1380] + vX_[8431] * vX_[277] + vX_[9343] * vX_[1109] + vX_[8673] * vX_[1547] -
+ vX_[8234] * x_in[28];
+ vX_[2451] = 0 - vX_[2340];
+ vX_[2606] = vX_[2652] * -0.5824264 + (0 - vX_[2692]) * 0.022734 + vX_[2688] * 3.6e-05 + vX_[2690] * -0.133138;
+ vX_[2750] = vX_[2652] * 0.1466472 + vX_[2692] * 0.009466 + (0 - vX_[2688]) * -5.1e-05 + vX_[2690] * 0.022734;
+ vX_[2844] = (0 - vX_[2676]) * -0.5824264;
+ vX_[8001] = (0 - vX_[2685]) * 0.1466472;
+ vX_[1340] = (0 - vX_[2692]) * 3.6e-05;
+ vX_[7830] = (0 - vX_[2690]) * -5.1e-05;
+ vX_[2830] = vX_[2844] + vX_[8001] + vX_[1340] - vX_[7830];
+ vX_[2890] = vX_[2676] * vX_[386] + vX_[2652] * vX_[540] + vX_[2685] * vX_[594] + vX_[2688] * vX_[593] +
+ vX_[2690] * vX_[350];
+ vX_[2830] = vX_[8676] + vX_[8672] * vX_[1376] + vX_[9343] * vX_[321] + vX_[1903] * vX_[1767] +
+ vX_[2451] * vX_[1126] + vX_[2606] * vX_[1026] + vX_[2750] * vX_[1130] + vX_[2830] * vX_[1274] +
+ vX_[2830] * vX_[1274] + vX_[2890] * x_in[27];
+ vX_[2897] = vX_[2926] - vX_[8376];
+ vX_[991] = vX_[2897] * vX_[354] + vX_[1747] * vX_[273];
+ vX_[1934] = vX_[2897] * vX_[367] + vX_[1747] * vX_[354];
+ vX_[1810] = vX_[1934] + vX_[9208];
+ vX_[8232] = vX_[991] * vX_[367] + vX_[1810] * vX_[354] + vX_[560] * vX_[273];
+ vX_[8236] = 0 - vX_[8232];
+ vX_[26] = vX_[8376] + vX_[991] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[8231] = 0 - vX_[26];
+ vX_[1308] = vX_[8376] + vX_[1934] * vX_[367] + vX_[560] * vX_[354];
+ vX_[8003] = vX_[8350] + vX_[2518] - vX_[9204];
+ vX_[9140] = vX_[1963] * vX_[354] + vX_[9204] * vX_[273];
+ vX_[1143] = 0 - (vX_[8003] * vX_[367] + vX_[9077] * vX_[354]) + vX_[9140];
+ vX_[1463] = vX_[1143] + vX_[26] * vX_[355];
+ vX_[2053] = 0 - vX_[1463];
+ vX_[2857] = vX_[1963] * vX_[367] + vX_[9204] * vX_[354];
+ vX_[2681] = vX_[8003] * vX_[354] + vX_[9077] * vX_[273] + vX_[2857];
+ vX_[8000] = 0 - vX_[1308];
+ vX_[8291] = vX_[2681] + vX_[8232] * vX_[355] + vX_[8000] * vX_[274];
+ vX_[1043] = vX_[2117] + vX_[917];
+ vX_[1501] = vX_[1775] * vX_[354] + vX_[1043] * vX_[367];
+ vX_[1468] = vX_[1501] * vX_[354] + vX_[1904] * vX_[273];
+ vX_[8228] = vX_[2527] + vX_[8491];
+ vX_[435] = 0 - vX_[435];
+ vX_[8229] = vX_[8228] * vX_[367] + vX_[435] * vX_[354];
+ vX_[8290] = 0 - vX_[8229];
+ vX_[8265] = vX_[1468] + vX_[8290] * vX_[274] + vX_[8231] * vX_[369];
+ vX_[8264] = 0 - vX_[8265];
+ vX_[8270] = vX_[1775] * vX_[273] + vX_[1043] * vX_[354];
+ vX_[8271] = vX_[8270] * vX_[367] + vX_[9202] * vX_[354];
+ vX_[9174] = vX_[8228] * vX_[354] + vX_[440] * vX_[273];
+ vX_[9173] = 0 - vX_[9174];
+ vX_[9171] = vX_[8271] + vX_[9173] * vX_[355] + vX_[1308] * vX_[369];
+ vX_[9167] = vX_[8270] * vX_[354] + vX_[9202] * vX_[273];
+ vX_[9164] = vX_[9167] + vX_[8229] * vX_[355];
+ vX_[9162] = vX_[1501] * vX_[367] + vX_[1904] * vX_[354];
+ vX_[9159] = vX_[9162] + vX_[9174] * vX_[274] + vX_[8236] * vX_[369];
+ vX_[9155] = 0 - vX_[9164] + vX_[9159];
+ vX_[8275] = 0 - vX_[8232];
+ vX_[8278] = 0 - vX_[26];
+ vX_[8231] = vX_[8236] * vX_[597] + vX_[8231] * vX_[543] + vX_[1308] * vX_[333] + vX_[2053] * vX_[370] +
+ vX_[8291] * vX_[381] + vX_[8264] * vX_[362] + vX_[9171] * vX_[356] + vX_[9155] * vX_[353] +
+ vX_[8275] * vX_[594] + vX_[8232] * vX_[591] + vX_[8278] * vX_[542] + vX_[1308] * vX_[546];
+ vX_[8236] = vX_[2652] * -3.44;
+ vX_[9154] = vX_[2692] * 0.1466472;
+ vX_[9152] = vX_[2690] * -0.5824264;
+ vX_[8289] = 0 - vX_[8236] + vX_[9154] - vX_[9152];
+ vX_[8277] = vX_[2676] * vX_[381] + vX_[2652] * vX_[356] + vX_[2685] * vX_[353] + vX_[2688] * vX_[591] +
+ vX_[2690] * vX_[540];
+ vX_[2451] = vX_[8672] * vX_[1375] + vX_[9343] * vX_[303] + vX_[8289] * vX_[1026] + vX_[2451] * vX_[1274] -
+ vX_[8277] * x_in[27];
+ vX_[8288] = vX_[2926] + vX_[8371] + vX_[8376] - vX_[26] - vX_[1308];
+ vX_[9143] = 0 - vX_[8288];
+ vX_[9140] = vX_[9140] + vX_[9143] * vX_[355];
+ vX_[2857] = vX_[2857] + vX_[8288] * vX_[274];
+ vX_[8251] = 0 - vX_[8291];
+ vX_[9137] = 0 - vX_[9171];
+ vX_[8362] = vX_[8195] + vX_[8342] + vX_[1043] + vX_[458] - vX_[9167] - vX_[9162];
+ vX_[9159] = vX_[8362] - vX_[9159];
+ vX_[948] = 0 - vX_[8229];
+ vX_[914] = 0 - vX_[8232];
+ vX_[7868] = 0 - vX_[1308];
+ vX_[8256] = vX_[926] - vX_[2520];
+ vX_[9133] = vX_[2512] + vX_[1394];
+ vX_[891] = vX_[8256] * vX_[354] + vX_[1029] * vX_[273];
+ vX_[7836] = vX_[8256] * vX_[367] + vX_[1029] * vX_[354];
+ vX_[2710] = vX_[2706] * 0.1104774 + vX_[2708] * 0.0004405 + vX_[2710] * 0.025941;
+ vX_[8279] = (0 - vX_[2695]) * -8.81e-05;
+ vX_[8715] = vX_[8279] + vX_[8715];
+ vX_[2714] = vX_[2695] * 0.0004405 + vX_[2706] * 8.81e-05 + vX_[2714] * 0.000468;
+ vX_[8715] = vX_[9082] * vX_[1309] + vX_[9225] * vX_[1455] + vX_[42] * vX_[1465] + vX_[2710] * vX_[1342] +
+ vX_[8715] * vX_[1241] + vX_[8715] * vX_[1241] + vX_[2714] * x_in[29];
+ vX_[8279] = vX_[8279] + vX_[8686];
+ vX_[2712] = vX_[2695] * -0.1104774 + vX_[2708] * -8.81e-05 + vX_[2712] * 0.026409;
+ vX_[8279] = vX_[9090] * vX_[1309] + vX_[9236] * vX_[2058] + vX_[1876] * vX_[1465] + vX_[2710] * vX_[1241] +
+ vX_[8279] * vX_[1342] + vX_[8279] * vX_[1342] - vX_[2712] * x_in[29];
+ vX_[2710] = vX_[2697] * 0.47422804 + vX_[2698] * -0.0825825 + vX_[2705] * 0.081641 + (0 - vX_[2694]) * 2.1e-05 +
+ vX_[2703] * 0.000102;
+ vX_[9236] = (0 - vX_[2705]) * 0.007418;
+ vX_[8666] = vX_[8670] + vX_[9236] - vX_[8666];
+ vX_[8670] = vX_[2693] * vX_[297] + vX_[2697] * vX_[313] + vX_[2698] * vX_[302] + vX_[2694] * vX_[345] +
+ vX_[2703] * vX_[341];
+ vX_[8666] = vX_[9104] * -0.35 + vX_[8715] * vX_[277] + vX_[8279] * vX_[279] + vX_[9088] * vX_[1551] +
+ vX_[8673] * vX_[1116] + vX_[9116] * vX_[1109] + vX_[2710] * vX_[1616] + vX_[8666] * vX_[1547] +
+ vX_[8666] * vX_[1547] + vX_[8670] * x_in[28];
+ vX_[9236] = vX_[8671] - vX_[9236] - vX_[8667];
+ vX_[8667] = vX_[2693] * vX_[310] + vX_[2697] * vX_[314] + vX_[2698] * vX_[308] + vX_[2694] * vX_[339] +
+ vX_[2703] * vX_[345];
+ vX_[9236] = vX_[8715] * vX_[280] + vX_[8279] * vX_[277] + vX_[9351] * vX_[1551] + vX_[8675] * vX_[1460] +
+ vX_[8677] * vX_[1109] + vX_[2710] * vX_[1547] + vX_[9236] * vX_[1616] + vX_[9236] * vX_[1616] -
+ vX_[8667] * x_in[28];
+ vX_[9152] = vX_[8236] - vX_[9154] + vX_[9152];
+ vX_[9154] = vX_[2676] * 0.1466472 + vX_[2685] * -0.5824264 + vX_[2692] * -5.1e-05 + (0 - vX_[2688]) * -0.123672 +
+ (0 - vX_[2690]) * 3.6e-05;
+ vX_[8236] = vX_[2688] * 0.022734;
+ vX_[1340] = vX_[2844] - vX_[1340] - vX_[8236];
+ vX_[2844] = vX_[2676] * vX_[324] + vX_[2652] * vX_[591] + vX_[2685] * vX_[541] + vX_[2688] * vX_[539] +
+ vX_[2690] * vX_[593];
+ vX_[1340] = vX_[8666] * vX_[276] + vX_[9236] * vX_[303] + vX_[9152] * vX_[1767] + vX_[2340] * vX_[1777] +
+ vX_[9154] * vX_[1026] + vX_[2750] * vX_[1274] + vX_[1340] * vX_[1130] + vX_[1340] * vX_[1130] -
+ vX_[2844] * x_in[27];
+ vX_[2741] = vX_[2741] * vX_[2050];
+ vX_[2742] = vX_[2742] * vX_[2050];
+ vX_[2750] = vX_[2741] * vX_[277] + vX_[2742] * vX_[279];
+ vX_[2743] = vX_[2743] * vX_[2050];
+ vX_[2340] = 0 - vX_[2743];
+ vX_[2713] = vX_[2713] * vX_[2045];
+ vX_[2710] = vX_[2713] * vX_[277];
+ vX_[8675] = vX_[2713] * vX_[279];
+ vX_[8677] = 0 - vX_[8675];
+ vX_[2729] = vX_[2729] * vX_[2057];
+ vX_[9351] = vX_[2729] * vX_[279];
+ vX_[2715] = vX_[2715] * vX_[2045];
+ vX_[8671] = vX_[2715] * vX_[277];
+ vX_[8673] = vX_[2715] * vX_[279];
+ vX_[9116] = 0 - vX_[2729];
+ vX_[9088] = vX_[9116] * vX_[277];
+ vX_[2730] = vX_[2730] * vX_[2057];
+ vX_[9104] = 0 - vX_[2730];
+ vX_[1876] = vX_[9104] * vX_[279];
+ vX_[9090] = vX_[2730] * vX_[277];
+ vX_[2717] = vX_[2717] * vX_[2047];
+ vX_[2708] = vX_[2741] + vX_[2717];
+ vX_[2718] = vX_[2718] * vX_[2047];
+ vX_[2695] = 0 - vX_[2742] - vX_[2718];
+ vX_[8686] = vX_[2708] * vX_[279] + vX_[2695] * vX_[277];
+ vX_[9225] = vX_[2717] * vX_[277] + vX_[2718] * vX_[279];
+ vX_[2735] = vX_[2735] * vX_[2057] + vX_[2723] * vX_[2045];
+ vX_[2723] = 0 - vX_[2735];
+ vX_[42] = 0 - vX_[2735];
+ vX_[9082] = vX_[42] * vX_[277];
+ vX_[2706] = vX_[2735] * vX_[279];
+ vX_[1518] = vX_[2736] * vX_[1520] + vX_[2870] * vX_[1470] + vX_[2873] * vX_[1504];
+ vX_[8262] = 0 - vX_[1518];
+ vX_[8239] = vX_[2736] * vX_[1606] + vX_[2870] * vX_[1505] + vX_[2873] * vX_[1464];
+ vX_[919] = vX_[8262] * x_in[18] + vX_[8239] * x_in[19];
+ vX_[8274] = 0 - vX_[919];
+ vX_[8259] = 0 - vX_[919];
+ vX_[8261] = vX_[8259] * vX_[277];
+ vX_[8273] = vX_[919] * vX_[1473];
+ vX_[2736] = vX_[2736] * vX_[1502] + vX_[2870] * vX_[1521] + vX_[2873] * vX_[1607];
+ jac[1028] = vX_[8234] * vX_[1000] + vX_[8674] * vX_[1460] + vX_[8667] * vX_[1149] + vX_[8670] * vX_[1547] +
+ vX_[8676] + vX_[2736] * vX_[1526] + vX_[1518] * vX_[1477] + vX_[8239] * vX_[1511];
+ jac[1064] = vX_[9224] * vX_[2052] + vX_[9256] * vX_[2058] + vX_[2712] * vX_[1609] + vX_[2714] * vX_[1241] +
+ vX_[8714] + vX_[2736] * vX_[1535] + vX_[1518] * vX_[1488] + vX_[8239] * vX_[1508];
+ vX_[2712] = vX_[2736] * x_in[29];
+ vX_[2714] = vX_[2712] * vX_[277];
+ vX_[9224] = vX_[2712] * vX_[1473];
+ vX_[9256] = vX_[2736] * x_in[28];
+ vX_[8714] = vX_[9256] * vX_[1473];
+ vX_[8667] = vX_[1518] * x_in[27];
+ vX_[8670] = vX_[9256] * vX_[277];
+ vX_[8234] = vX_[8667] * vX_[277];
+ vX_[8674] = vX_[8667] * vX_[1473];
+ vX_[8676] = vX_[2747] * vX_[1563];
+ vX_[2873] = 0 - vX_[8676];
+ vX_[2870] = 0 - vX_[8676];
+ vX_[8257] = vX_[2870] * vX_[277];
+ vX_[8286] = vX_[8676] * vX_[1473];
+ vX_[9212] = 0 - vX_[9212];
+ vX_[8285] = vX_[7836] + vX_[9080];
+ vX_[1769] = 0 - vX_[9140];
+ vX_[1462] = 0 - vX_[2857];
+ vX_[8362] = 0 - vX_[8362] + vX_[9164];
+ vX_[9164] = 0 - vX_[9174];
+ vX_[2707] = vX_[2707] * vX_[2045];
+ vX_[829] = vX_[2707] * vX_[279];
+ vX_[2709] = vX_[2709] * vX_[2045];
+ vX_[834] = vX_[2709] * vX_[277];
+ vX_[2711] = vX_[2711] * vX_[2045];
+ vX_[2728] = vX_[2728] * vX_[2057];
+ vX_[2744] = vX_[2744] * vX_[2050];
+ vX_[8243] = vX_[2744] * vX_[277];
+ vX_[8248] = vX_[2744] * vX_[279];
+ vX_[8242] = 0 - vX_[8248];
+ vX_[2733] = vX_[2733] * vX_[1435];
+ vX_[8241] = vX_[2733] * vX_[279];
+ vX_[2745] = vX_[2745] * vX_[2050];
+ vX_[8238] = vX_[2745] * vX_[277];
+ vX_[8237] = vX_[2745] * vX_[279];
+ vX_[8247] = 0 - vX_[2707] - vX_[2733];
+ vX_[2734] = vX_[2734] * vX_[1435];
+ vX_[8246] = 0 - vX_[2709] - vX_[2734];
+ vX_[8245] = vX_[8247] * vX_[277] + vX_[8246] * vX_[279];
+ vX_[8244] = vX_[2734] * vX_[277];
+ vX_[2731] = vX_[2731] * vX_[2057] + vX_[2722] * vX_[2050];
+ vX_[2722] = vX_[2731] * vX_[277];
+ vX_[7815] = 0 - vX_[8239];
+ vX_[4938] = vX_[2736] * x_in[18] + vX_[7815] * x_in[20];
+ vX_[5110] = vX_[4938] * vX_[1473];
+ vX_[5177] = vX_[2736] * x_in[27];
+ vX_[5336] = vX_[1518] * x_in[29];
+ vX_[7582] = 0 - vX_[5336];
+ vX_[2827] = vX_[7582] * vX_[277];
+ vX_[7403] = vX_[5336] * vX_[1473];
+ vX_[5346] = vX_[1518] * x_in[28];
+ vX_[5403] = 0 - vX_[5346];
+ vX_[5401] = vX_[5177] * vX_[277];
+ vX_[2675] = 0 - vX_[5346];
+ vX_[2865] = vX_[2675] * vX_[277];
+ vX_[2459] = vX_[5177] * vX_[1473];
+ vX_[7813] = vX_[5346] * vX_[1473];
+ vX_[7817] = vX_[2747] * vX_[1556];
+ vX_[2901] = vX_[4938] * vX_[277] + vX_[7817] * vX_[277];
+ vX_[7812] = vX_[2731] * vX_[279] + vX_[7817] * vX_[1473];
+ jac[344] =
+ 0 -
+ (vX_[2513] * vX_[1400] + vX_[2528] * vX_[1580] + vX_[2343] * vX_[711] + vX_[1029] * vX_[713] +
+ vX_[8660] * vX_[370] + vX_[9080] * vX_[693] + vX_[1620] * vX_[353] + vX_[1775] * vX_[677] +
+ vX_[9204] * vX_[378] + vX_[458] * vX_[655] + vX_[9202] * vX_[654] + vX_[1904] * vX_[651] +
+ vX_[9077] * vX_[387] + vX_[1120] * vX_[601] + vX_[1747] * vX_[603] + vX_[440] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[2316] * x_in[22] + vX_[2830] * x_in[19] +
+ (vX_[2523] * vX_[1400] + vX_[8231] * vX_[367] + vX_[2316] * x_in[20]) * 0.3735 -
+ (vX_[2515] * vX_[1279] + vX_[2451] * x_in[23]) + (vX_[2528] * vX_[1279] + vX_[2451] * x_in[19]) * 0.3735 +
+ (vX_[2534] * vX_[1279] + vX_[8290] * vX_[543] + vX_[9174] * vX_[597] + vX_[8288] * vX_[380] +
+ vX_[8000] * vX_[382] + vX_[9140] * vX_[353] + vX_[2857] * vX_[362] + vX_[8251] * vX_[365] +
+ vX_[9137] * vX_[381] + vX_[9159] * vX_[370] + vX_[948] * vX_[541] + vX_[9174] * vX_[594] +
+ vX_[914] * vX_[324] + vX_[7868] * vX_[548] + vX_[2451] * x_in[18]) *
+ 0.207 -
+ (vX_[2523] * vX_[1574] + vX_[8256] * vX_[710] + vX_[9133] * vX_[686] + vX_[891] * vX_[353] +
+ vX_[7836] * vX_[694] + vX_[8678] * vX_[652] + vX_[1963] * vX_[388] + vX_[1043] * vX_[678] +
+ vX_[8270] * vX_[653] + vX_[1501] * vX_[596] + vX_[8003] * vX_[377] + vX_[2897] * vX_[600] +
+ vX_[8228] * vX_[630] + vX_[991] * vX_[598] + vX_[1934] * vX_[549] + vX_[8231] * vX_[368] +
+ vX_[1340] * x_in[20]) +
+ vX_[2696] * vX_[2045] + vX_[2732] * vX_[1435] + vX_[2750] * vX_[275] + vX_[2340] * vX_[275] * 0.35 +
+ vX_[2743] * 0.3735 + vX_[2710] * 0.35 + vX_[2710] * vX_[303] * 0.08 + vX_[2710] * vX_[275] * -0.3735 +
+ vX_[8677] * vX_[303] * 0.3735 + vX_[8675] * vX_[275] * -0.08 + vX_[9351] * vX_[303] * -0.207 +
+ vX_[8671] * vX_[303] * 0.3735 + vX_[8671] * vX_[275] * 0.08 + vX_[8673] * 0.35 +
+ vX_[8673] * vX_[303] * 0.08 + vX_[8673] * vX_[275] * -0.3735 +
+ (vX_[9088] * vX_[275] + vX_[1876] * vX_[275]) * 0.207 + vX_[9090] * vX_[303] * 0.207 +
+ vX_[8686] * vX_[303] + vX_[9225] * vX_[275] + (0 - vX_[2735]) * 0.08 + vX_[2723] * vX_[303] * 0.35 +
+ vX_[9082] * vX_[303] * 0.33 + vX_[2706] * vX_[275] * 0.33 + (0 - vX_[919]) * 0.08 +
+ vX_[8274] * vX_[303] * 0.35 + vX_[8261] * vX_[303] * 0.33 + vX_[8273] * vX_[275] * 0.33 +
+ vX_[2714] * vX_[275] * 0.33 + vX_[9224] * vX_[303] * 0.33 + vX_[9256] * vX_[275] * 0.35 +
+ vX_[8714] * vX_[303] * 0.33 + vX_[8667] * 0.08 + vX_[8667] * vX_[303] * 0.35 +
+ (vX_[8670] * vX_[275] + vX_[8234] * vX_[303]) * 0.33 + vX_[8674] * vX_[275] * -0.33 +
+ (0 - vX_[8676]) * 0.08 + vX_[2873] * vX_[303] * 0.35 + vX_[8257] * vX_[303] * 0.33 +
+ vX_[8286] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[2515] * vX_[1400] + vX_[2513] * vX_[1279] + vX_[2523] * vX_[1580] + vX_[2528] * vX_[1574] +
+ vX_[8256] * vX_[713] + vX_[2343] * vX_[709] + vX_[1029] * vX_[710] + vX_[9133] * vX_[370] +
+ vX_[9212] * vX_[686] + vX_[891] * vX_[693] + vX_[8285] * vX_[353] + vX_[1620] * vX_[694] +
+ vX_[1775] * vX_[678] + vX_[8678] * vX_[655] + vX_[1963] * vX_[378] + vX_[9204] * vX_[388] +
+ vX_[1043] * vX_[677] + vX_[458] * vX_[652] + vX_[8270] * vX_[654] + vX_[1501] * vX_[651] +
+ vX_[9202] * vX_[653] + vX_[1904] * vX_[596] + vX_[8003] * vX_[387] + vX_[9077] * vX_[377] +
+ vX_[2897] * vX_[603] + vX_[1120] * vX_[599] + vX_[1747] * vX_[600] + vX_[8228] * vX_[631] +
+ vX_[435] * vX_[630] + vX_[991] * vX_[545] + vX_[1810] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[8231] * vX_[366] +
+ (vX_[8229] * vX_[595] + vX_[9173] * vX_[333] + vX_[8232] * vX_[382] + vX_[9143] * vX_[357] +
+ vX_[26] * vX_[371] + vX_[1769] * vX_[356] + vX_[1463] * vX_[365] + vX_[1462] * vX_[353] +
+ vX_[8265] * vX_[370] + vX_[8362] * vX_[381] + vX_[8229] * vX_[591] + vX_[9164] * vX_[540] +
+ vX_[8232] * vX_[386] + vX_[26] * vX_[537]) *
+ 0.207 +
+ vX_[2316] * x_in[23] + vX_[2451] * x_in[22] + vX_[2830] * x_in[20] + vX_[1340] * x_in[19] +
+ (vX_[2528] * vX_[1400] + vX_[8231] * vX_[354] + vX_[2316] * x_in[19]) * -0.3735 +
+ (vX_[2534] * vX_[1400] + vX_[2316] * x_in[18]) * -0.207 +
+ (vX_[2523] * vX_[1279] + vX_[2451] * x_in[20]) * 0.3735 + vX_[2740] * vX_[2050] + vX_[2716] * vX_[2047] -
+ vX_[829] * vX_[303] + vX_[834] * vX_[303] + (0 - vX_[2711]) * 0.3735 + vX_[2711] * vX_[275] * 0.35 +
+ (0 - vX_[2728]) * 0.207 + vX_[8243] * 0.35 + vX_[8243] * vX_[303] * 0.08 + vX_[8243] * vX_[275] * -0.3735 +
+ vX_[8242] * vX_[303] * 0.3735 + (0 - vX_[8248] * vX_[275]) * 0.08 - vX_[8241] * vX_[303] +
+ vX_[8238] * vX_[303] * 0.3735 + vX_[8238] * vX_[275] * 0.08 + vX_[8237] * 0.35 +
+ vX_[8237] * vX_[303] * 0.08 + vX_[8237] * vX_[275] * -0.3735 + vX_[8245] * vX_[275] + vX_[8244] * vX_[303] +
+ vX_[2731] * 0.08 + vX_[2731] * vX_[303] * 0.35 + vX_[2722] * vX_[303] * 0.33 + vX_[4938] * 0.08 +
+ vX_[4938] * vX_[303] * 0.35 + vX_[5110] * vX_[275] * -0.33 + vX_[5177] * 0.08 +
+ vX_[5177] * vX_[303] * 0.35 + vX_[2827] * vX_[275] * 0.33 + vX_[7403] * vX_[303] * -0.33 +
+ vX_[5403] * vX_[275] * 0.35 + (vX_[5401] * vX_[303] + vX_[2865] * vX_[275]) * 0.33 +
+ (vX_[2459] * vX_[275] + vX_[7813] * vX_[303]) * -0.33 + vX_[7817] * 0.08 + vX_[7817] * vX_[303] * 0.35 +
+ vX_[2901] * vX_[303] * 0.33 + vX_[7812] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[2743] = vX_[3721] - vX_[2947];
+ vX_[8256] = vX_[2940] + vX_[8122];
+ vX_[9143] = vX_[8367] + vX_[2389];
+ vX_[8288] = 0 - vX_[9143];
+ vX_[8231] = vX_[2743] * vX_[273];
+ vX_[9173] = vX_[2743] * vX_[354];
+ vX_[8270] = vX_[8363] + vX_[8321];
+ vX_[8290] = vX_[7509] + vX_[7491];
+ vX_[435] = vX_[7506] + vX_[8324];
+ vX_[8228] = vX_[7517] + vX_[2949];
+ vX_[1501] = vX_[8228] * vX_[354] + vX_[435] * vX_[273];
+ vX_[1043] = vX_[8228] * vX_[367] + vX_[435] * vX_[354];
+ vX_[8000] = vX_[7525] + vX_[7500];
+ vX_[8003] = 0 - (vX_[2526] + vX_[2946]) + vX_[8000];
+ vX_[1810] = vX_[7510] - vX_[7513];
+ vX_[1934] = vX_[2944] + vX_[8333];
+ vX_[991] = vX_[7483] + vX_[7492];
+ vX_[2897] = 0 - vX_[991];
+ vX_[560] = vX_[1810] * vX_[273];
+ vX_[9208] = vX_[1810] * vX_[354];
+ vX_[440] = vX_[3135] * 0.881 + (0 - vX_[3137]) * 0.0004405 + vX_[3139] * -8.81e-05;
+ vX_[1747] = vX_[3133] * -0.881;
+ vX_[1120] = vX_[3137] * 0.1104774;
+ vX_[9077] = vX_[3141] * -8.81e-05;
+ vX_[1963] = vX_[1747] - vX_[1120] + vX_[9077];
+ vX_[1904] = vX_[440] * vX_[1241] + vX_[1963] * vX_[1342];
+ vX_[9202] = vX_[3125] * 3.146 + (0 - vX_[3132]) * -0.0825825;
+ vX_[8678] = vX_[3124] * -3.146;
+ vX_[458] = vX_[3132] * 0.47422804;
+ vX_[9204] = vX_[8678] - vX_[458];
+ vX_[1775] = vX_[1904] + vX_[9202] * vX_[1547] + vX_[9204] * vX_[1616];
+ vX_[1029] = vX_[3112] * 3.44 + vX_[3115] * -0.5824264;
+ vX_[2343] = 0 - vX_[1029];
+ vX_[2740] = vX_[3103] * 3.44 + (0 - vX_[3115]) * 0.1466472;
+ vX_[2732] = vX_[3103] * vX_[370] + vX_[3079] * vX_[353] + vX_[3112] * vX_[362] + vX_[3115] * vX_[541] +
+ vX_[3117] * vX_[594];
+ vX_[2716] = vX_[1775] + vX_[2343] * vX_[1026] + vX_[2740] * vX_[1130] + vX_[2732] * x_in[27];
+ vX_[2696] = 0 - vX_[440];
+ vX_[9077] = 0 - vX_[1747] + vX_[1120] - vX_[9077];
+ vX_[1120] = vX_[3122] * 0.0004405 + vX_[3133] * -8.81e-05 + vX_[3141] * -0.000227999999999999;
+ vX_[1747] = vX_[3122] * 0.1104774 + vX_[3135] * -8.81e-05 + (0 - vX_[3139]) * 0.025713;
+ vX_[2823] = (0 - vX_[3133]) * 0.0004405;
+ vX_[7584] = (0 - vX_[3135]) * 0.1104774;
+ vX_[2074] = vX_[2823] + vX_[7584];
+ vX_[2074] = vX_[2696] * vX_[2058] + vX_[9077] * vX_[1455] + vX_[1120] * vX_[1241] + vX_[1747] * vX_[1342] +
+ vX_[2074] * vX_[1465] + vX_[2074] * vX_[1465];
+ vX_[2679] = vX_[3122] * 0.881 + (0 - vX_[3139]) * 0.1104774 + vX_[3141] * 0.0004405;
+ vX_[2398] = vX_[3133] * 0.00185880198235362 + vX_[3135] * 0.880992588508842 + vX_[3139] * -8.81e-05;
+ vX_[2696] = vX_[2696] * vX_[1465] + vX_[2679] * vX_[1342] + vX_[2398] * x_in[29];
+ vX_[4524] = 0 - vX_[2679];
+ vX_[5332] = vX_[3133] * 0.414812462825713 + vX_[3135] * 0.00185880198235362 + vX_[3141] * 8.81e-05;
+ vX_[9077] = vX_[9077] * vX_[1465] + vX_[4524] * vX_[1241] - vX_[5332] * x_in[29];
+ vX_[5108] = 0 - vX_[9202];
+ vX_[458] = 0 - vX_[8678] + vX_[458];
+ vX_[8678] = vX_[3120] * -0.0825825 + (0 - vX_[3132]) * 0.000102 + vX_[3121] * 0.007418 + vX_[3130] * 0.002735;
+ vX_[7581] = vX_[3120] * 0.47422804 + vX_[3132] * 2.1e-05 + (0 - vX_[3121]) * 0.084376 + (0 - vX_[3130]) * 0.007418;
+ vX_[7872] = (0 - vX_[3124]) * -0.0825825;
+ vX_[2893] = (0 - vX_[3125]) * 0.47422804;
+ vX_[2457] = vX_[3121] * 0.000102;
+ vX_[2447] = (0 - vX_[3130]) * 2.1e-05;
+ vX_[7809] = vX_[7872] + vX_[2893] + vX_[2457] + vX_[2447];
+ vX_[7809] = vX_[2074] + vX_[2696] * vX_[1388] + vX_[9077] * vX_[282] + vX_[5108] * vX_[1460] +
+ vX_[458] * vX_[1116] + vX_[8678] * vX_[1547] + vX_[7581] * vX_[1616] + vX_[7809] * vX_[1109] +
+ vX_[7809] * vX_[1109];
+ vX_[7810] = vX_[3120] * 3.146 + (0 - vX_[3121]) * 0.47422804 + vX_[3130] * -0.0825825;
+ vX_[7871] = vX_[3124] * vX_[330] + vX_[3125] * vX_[329] + vX_[3121] * vX_[308] + vX_[3130] * vX_[302];
+ vX_[5108] = vX_[2696] * vX_[277] + vX_[9077] * vX_[279] + vX_[5108] * vX_[1109] + vX_[7810] * vX_[1616] +
+ vX_[7871] * x_in[28];
+ vX_[7846] = 0 - vX_[7810];
+ vX_[7845] = vX_[3124] * vX_[328] + vX_[3125] * vX_[330] + vX_[3121] * vX_[314] + vX_[3130] * vX_[313];
+ vX_[458] = vX_[2696] * vX_[1380] + vX_[9077] * vX_[277] + vX_[458] * vX_[1109] + vX_[7846] * vX_[1547] -
+ vX_[7845] * x_in[28];
+ vX_[7851] = 0 - vX_[2740];
+ vX_[7852] = vX_[3079] * -0.5824264 + (0 - vX_[3119]) * 0.022734 + vX_[3115] * 3.6e-05 + vX_[3117] * -0.133138;
+ vX_[1354] = vX_[3079] * 0.1466472 + vX_[3119] * 0.009466 + (0 - vX_[3115]) * -5.1e-05 + vX_[3117] * 0.022734;
+ vX_[1350] = (0 - vX_[3103]) * -0.5824264;
+ vX_[1263] = (0 - vX_[3112]) * 0.1466472;
+ vX_[1575] = (0 - vX_[3119]) * 3.6e-05;
+ vX_[1973] = (0 - vX_[3117]) * -5.1e-05;
+ vX_[1984] = vX_[1350] + vX_[1263] + vX_[1575] - vX_[1973];
+ vX_[1991] = vX_[3103] * vX_[386] + vX_[3079] * vX_[540] + vX_[3112] * vX_[594] + vX_[3115] * vX_[593] +
+ vX_[3117] * vX_[350];
+ vX_[1984] = vX_[7809] + vX_[5108] * vX_[1376] + vX_[458] * vX_[321] + vX_[1029] * vX_[1767] +
+ vX_[7851] * vX_[1126] + vX_[7852] * vX_[1026] + vX_[1354] * vX_[1130] + vX_[1984] * vX_[1274] +
+ vX_[1984] * vX_[1274] + vX_[1991] * x_in[27];
+ vX_[2011] = vX_[8505] - vX_[7513];
+ vX_[7856] = vX_[2011] * vX_[354] + vX_[1934] * vX_[273];
+ vX_[7859] = vX_[2011] * vX_[367] + vX_[1934] * vX_[354];
+ vX_[2016] = vX_[7859] + vX_[560];
+ vX_[2032] = vX_[7856] * vX_[367] + vX_[2016] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[7870] = 0 - vX_[2032];
+ vX_[7858] = vX_[7513] + vX_[7856] * vX_[354] + vX_[560] * vX_[273];
+ vX_[7869] = 0 - vX_[7858];
+ vX_[2055] = vX_[7513] + vX_[7859] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[7832] = vX_[7489] + vX_[2945] - vX_[8290];
+ vX_[2098] = vX_[8000] * vX_[354] + vX_[8290] * vX_[273];
+ vX_[7943] = 0 - (vX_[7832] * vX_[367] + vX_[8003] * vX_[354]) + vX_[2098];
+ vX_[2348] = vX_[7943] + vX_[7858] * vX_[355];
+ vX_[2608] = 0 - vX_[2348];
+ vX_[7441] = vX_[8000] * vX_[367] + vX_[8290] * vX_[354];
+ vX_[7837] = vX_[7832] * vX_[354] + vX_[8003] * vX_[273] + vX_[7441];
+ vX_[2085] = 0 - vX_[2055];
+ vX_[2107] = vX_[7837] + vX_[2032] * vX_[355] + vX_[2085] * vX_[274];
+ vX_[7409] = vX_[8358] + vX_[8329];
+ vX_[7860] = vX_[8270] * vX_[354] + vX_[7409] * vX_[367];
+ vX_[2440] = vX_[7860] * vX_[354] + vX_[1043] * vX_[273];
+ vX_[7843] = vX_[2954] + vX_[7527];
+ vX_[991] = 0 - vX_[991];
+ vX_[7820] = vX_[7843] * vX_[367] + vX_[991] * vX_[354];
+ vX_[2602] = 0 - vX_[7820];
+ vX_[7855] = vX_[2440] + vX_[2602] * vX_[274] + vX_[7869] * vX_[369];
+ vX_[7840] = 0 - vX_[7855];
+ vX_[7842] = vX_[8270] * vX_[273] + vX_[7409] * vX_[354];
+ vX_[7854] = vX_[7842] * vX_[367] + vX_[1501] * vX_[354];
+ vX_[7838] = vX_[7843] * vX_[354] + vX_[2897] * vX_[273];
+ vX_[7867] = 0 - vX_[7838];
+ vX_[7866] = vX_[7854] + vX_[7867] * vX_[355] + vX_[2055] * vX_[369];
+ vX_[2486] = vX_[7842] * vX_[354] + vX_[1501] * vX_[273];
+ vX_[2436] = vX_[2486] + vX_[7820] * vX_[355];
+ vX_[2510] = vX_[7860] * vX_[367] + vX_[1043] * vX_[354];
+ vX_[2604] = vX_[2510] + vX_[7838] * vX_[274] + vX_[7870] * vX_[369];
+ vX_[7824] = 0 - vX_[2436] + vX_[2604];
+ vX_[7829] = 0 - vX_[2032];
+ vX_[7823] = 0 - vX_[7858];
+ vX_[7869] = vX_[7870] * vX_[597] + vX_[7869] * vX_[543] + vX_[2055] * vX_[333] + vX_[2608] * vX_[370] +
+ vX_[2107] * vX_[381] + vX_[7840] * vX_[362] + vX_[7866] * vX_[356] + vX_[7824] * vX_[353] +
+ vX_[7829] * vX_[594] + vX_[2032] * vX_[591] + vX_[7823] * vX_[542] + vX_[2055] * vX_[546];
+ vX_[7870] = vX_[3079] * -3.44;
+ vX_[7822] = vX_[3119] * 0.1466472;
+ vX_[7819] = vX_[3117] * -0.5824264;
+ vX_[7818] = 0 - vX_[7870] + vX_[7822] - vX_[7819];
+ vX_[7828] = vX_[3103] * vX_[381] + vX_[3079] * vX_[356] + vX_[3112] * vX_[353] + vX_[3115] * vX_[591] +
+ vX_[3117] * vX_[540];
+ vX_[7851] = vX_[5108] * vX_[1375] + vX_[458] * vX_[303] + vX_[7818] * vX_[1026] + vX_[7851] * vX_[1274] -
+ vX_[7828] * x_in[27];
+ vX_[7827] = vX_[8505] + vX_[7510] + vX_[7513] - vX_[7858] - vX_[2055];
+ vX_[7826] = 0 - vX_[7827];
+ vX_[2098] = vX_[2098] + vX_[7826] * vX_[355];
+ vX_[7441] = vX_[7441] + vX_[7827] * vX_[274];
+ vX_[7825] = 0 - vX_[2107];
+ vX_[7388] = 0 - vX_[7866];
+ vX_[6205] = vX_[7475] + vX_[7481] + vX_[7409] + vX_[435] - vX_[2486] - vX_[2510];
+ vX_[2604] = vX_[6205] - vX_[2604];
+ vX_[6260] = 0 - vX_[7820];
+ vX_[6456] = 0 - vX_[2032];
+ vX_[6615] = 0 - vX_[2055];
+ vX_[7155] = vX_[8325] - vX_[2947];
+ vX_[5254] = vX_[2525] + vX_[8373];
+ vX_[6976] = vX_[7155] * vX_[354] + vX_[8256] * vX_[273];
+ vX_[6613] = vX_[7155] * vX_[367] + vX_[8256] * vX_[354];
+ vX_[3137] = vX_[3133] * 0.1104774 + vX_[3135] * 0.0004405 + vX_[3137] * 0.025941;
+ vX_[6682] = (0 - vX_[3122]) * -8.81e-05;
+ vX_[7584] = vX_[6682] + vX_[7584];
+ vX_[3141] = vX_[3122] * 0.0004405 + vX_[3133] * 8.81e-05 + vX_[3141] * 0.000468;
+ vX_[7584] = vX_[440] * vX_[1309] + vX_[4524] * vX_[1455] + vX_[1120] * vX_[1465] + vX_[3137] * vX_[1342] +
+ vX_[7584] * vX_[1241] + vX_[7584] * vX_[1241] + vX_[3141] * x_in[29];
+ vX_[6682] = vX_[6682] + vX_[2823];
+ vX_[3139] = vX_[3122] * -0.1104774 + vX_[3135] * -8.81e-05 + vX_[3139] * 0.026409;
+ vX_[6682] = vX_[1963] * vX_[1309] + vX_[2679] * vX_[2058] + vX_[1747] * vX_[1465] + vX_[3137] * vX_[1241] +
+ vX_[6682] * vX_[1342] + vX_[6682] * vX_[1342] - vX_[3139] * x_in[29];
+ vX_[3137] = vX_[3124] * 0.47422804 + vX_[3125] * -0.0825825 + vX_[3132] * 0.081641 + (0 - vX_[3121]) * 2.1e-05 +
+ vX_[3130] * 0.000102;
+ vX_[2679] = (0 - vX_[3132]) * 0.007418;
+ vX_[2447] = vX_[2893] + vX_[2679] - vX_[2447];
+ vX_[2893] = vX_[3120] * vX_[297] + vX_[3124] * vX_[313] + vX_[3125] * vX_[302] + vX_[3121] * vX_[345] +
+ vX_[3130] * vX_[341];
+ vX_[2447] = vX_[1904] * -0.35 + vX_[7584] * vX_[277] + vX_[6682] * vX_[279] + vX_[9202] * vX_[1551] +
+ vX_[7846] * vX_[1116] + vX_[8678] * vX_[1109] + vX_[3137] * vX_[1616] + vX_[2447] * vX_[1547] +
+ vX_[2447] * vX_[1547] + vX_[2893] * x_in[28];
+ vX_[2679] = vX_[7872] - vX_[2679] - vX_[2457];
+ vX_[2457] = vX_[3120] * vX_[310] + vX_[3124] * vX_[314] + vX_[3125] * vX_[308] + vX_[3121] * vX_[339] +
+ vX_[3130] * vX_[345];
+ vX_[2679] = vX_[7584] * vX_[280] + vX_[6682] * vX_[277] + vX_[9204] * vX_[1551] + vX_[7810] * vX_[1460] +
+ vX_[7581] * vX_[1109] + vX_[3137] * vX_[1547] + vX_[2679] * vX_[1616] + vX_[2679] * vX_[1616] -
+ vX_[2457] * x_in[28];
+ vX_[7819] = vX_[7870] - vX_[7822] + vX_[7819];
+ vX_[7822] = vX_[3103] * 0.1466472 + vX_[3112] * -0.5824264 + vX_[3119] * -5.1e-05 + (0 - vX_[3115]) * -0.123672 +
+ (0 - vX_[3117]) * 3.6e-05;
+ vX_[7870] = vX_[3115] * 0.022734;
+ vX_[1575] = vX_[1350] - vX_[1575] - vX_[7870];
+ vX_[1350] = vX_[3103] * vX_[324] + vX_[3079] * vX_[591] + vX_[3112] * vX_[541] + vX_[3115] * vX_[539] +
+ vX_[3117] * vX_[593];
+ vX_[1575] = vX_[2447] * vX_[276] + vX_[2679] * vX_[303] + vX_[7819] * vX_[1767] + vX_[2740] * vX_[1777] +
+ vX_[7822] * vX_[1026] + vX_[1354] * vX_[1274] + vX_[1575] * vX_[1130] + vX_[1575] * vX_[1130] -
+ vX_[1350] * x_in[27];
+ vX_[3168] = vX_[3168] * vX_[2050];
+ vX_[3169] = vX_[3169] * vX_[2050];
+ vX_[1354] = vX_[3168] * vX_[277] + vX_[3169] * vX_[279];
+ vX_[3170] = vX_[3170] * vX_[2050];
+ vX_[2740] = 0 - vX_[3170];
+ vX_[3140] = vX_[3140] * vX_[2045];
+ vX_[3137] = vX_[3140] * vX_[277];
+ vX_[7810] = vX_[3140] * vX_[279];
+ vX_[7581] = 0 - vX_[7810];
+ vX_[3156] = vX_[3156] * vX_[2057];
+ vX_[9204] = vX_[3156] * vX_[279];
+ vX_[3142] = vX_[3142] * vX_[2045];
+ vX_[7872] = vX_[3142] * vX_[277];
+ vX_[7846] = vX_[3142] * vX_[279];
+ vX_[8678] = 0 - vX_[3156];
+ vX_[9202] = vX_[8678] * vX_[277];
+ vX_[3157] = vX_[3157] * vX_[2057];
+ vX_[1904] = 0 - vX_[3157];
+ vX_[1747] = vX_[1904] * vX_[279];
+ vX_[1963] = vX_[3157] * vX_[277];
+ vX_[3144] = vX_[3144] * vX_[2047];
+ vX_[3135] = vX_[3168] + vX_[3144];
+ vX_[3145] = vX_[3145] * vX_[2047];
+ vX_[3122] = 0 - vX_[3169] - vX_[3145];
+ vX_[2823] = vX_[3135] * vX_[279] + vX_[3122] * vX_[277];
+ vX_[4524] = vX_[3144] * vX_[277] + vX_[3145] * vX_[279];
+ vX_[3162] = vX_[3162] * vX_[2057] + vX_[3150] * vX_[2045];
+ vX_[3150] = 0 - vX_[3162];
+ vX_[1120] = 0 - vX_[3162];
+ vX_[440] = vX_[1120] * vX_[277];
+ vX_[3133] = vX_[3162] * vX_[279];
+ vX_[6651] = vX_[3163] * vX_[1520] + vX_[3297] * vX_[1470] + vX_[3300] * vX_[1504];
+ vX_[5179] = 0 - vX_[6651];
+ vX_[5357] = vX_[3163] * vX_[1606] + vX_[3297] * vX_[1505] + vX_[3300] * vX_[1464];
+ vX_[4934] = vX_[5179] * x_in[18] + vX_[5357] * x_in[19];
+ vX_[7386] = 0 - vX_[4934];
+ vX_[7390] = 0 - vX_[4934];
+ vX_[5405] = vX_[7390] * vX_[277];
+ vX_[7385] = vX_[4934] * vX_[1473];
+ vX_[3163] = vX_[3163] * vX_[1502] + vX_[3297] * vX_[1521] + vX_[3300] * vX_[1607];
+ jac[1029] = vX_[7845] * vX_[1000] + vX_[7871] * vX_[1460] + vX_[2457] * vX_[1149] + vX_[2893] * vX_[1547] +
+ vX_[7809] + vX_[3163] * vX_[1526] + vX_[6651] * vX_[1477] + vX_[5357] * vX_[1511];
+ jac[1065] = vX_[5332] * vX_[2052] + vX_[2398] * vX_[2058] + vX_[3139] * vX_[1609] + vX_[3141] * vX_[1241] +
+ vX_[2074] + vX_[3163] * vX_[1535] + vX_[6651] * vX_[1488] + vX_[5357] * vX_[1508];
+ vX_[3139] = vX_[3163] * x_in[29];
+ vX_[3141] = vX_[3139] * vX_[277];
+ vX_[5332] = vX_[3139] * vX_[1473];
+ vX_[2398] = vX_[3163] * x_in[28];
+ vX_[2074] = vX_[2398] * vX_[1473];
+ vX_[2457] = vX_[6651] * x_in[27];
+ vX_[2893] = vX_[2398] * vX_[277];
+ vX_[7845] = vX_[2457] * vX_[277];
+ vX_[7871] = vX_[2457] * vX_[1473];
+ vX_[7809] = vX_[3174] * vX_[1563];
+ vX_[3300] = 0 - vX_[7809];
+ vX_[3297] = 0 - vX_[7809];
+ vX_[5250] = vX_[3297] * vX_[277];
+ vX_[7157] = vX_[7809] * vX_[1473];
+ vX_[9143] = 0 - vX_[9143];
+ vX_[4530] = vX_[6613] + vX_[8231];
+ vX_[5183] = 0 - vX_[2098];
+ vX_[4911] = 0 - vX_[7441];
+ vX_[6205] = 0 - vX_[6205] + vX_[2436];
+ vX_[2436] = 0 - vX_[7838];
+ vX_[3134] = vX_[3134] * vX_[2045];
+ vX_[5803] = vX_[3134] * vX_[279];
+ vX_[3136] = vX_[3136] * vX_[2045];
+ vX_[6623] = vX_[3136] * vX_[277];
+ vX_[3138] = vX_[3138] * vX_[2045];
+ vX_[3155] = vX_[3155] * vX_[2057];
+ vX_[3171] = vX_[3171] * vX_[2050];
+ vX_[6387] = vX_[3171] * vX_[277];
+ vX_[7154] = vX_[3171] * vX_[279];
+ vX_[7445] = 0 - vX_[7154];
+ vX_[3160] = vX_[3160] * vX_[1435];
+ vX_[5409] = vX_[3160] * vX_[279];
+ vX_[3172] = vX_[3172] * vX_[2050];
+ vX_[4903] = vX_[3172] * vX_[277];
+ vX_[4871] = vX_[3172] * vX_[279];
+ vX_[7382] = 0 - vX_[3134] - vX_[3160];
+ vX_[3161] = vX_[3161] * vX_[1435];
+ vX_[7383] = 0 - vX_[3136] - vX_[3161];
+ vX_[7444] = vX_[7382] * vX_[277] + vX_[7383] * vX_[279];
+ vX_[7419] = vX_[3161] * vX_[277];
+ vX_[3158] = vX_[3158] * vX_[2057] + vX_[3149] * vX_[2050];
+ vX_[3149] = vX_[3158] * vX_[277];
+ vX_[7418] = 0 - vX_[5357];
+ vX_[7424] = vX_[3163] * x_in[18] + vX_[7418] * x_in[20];
+ vX_[7425] = vX_[7424] * vX_[1473];
+ vX_[4246] = vX_[3163] * x_in[27];
+ vX_[4250] = vX_[6651] * x_in[29];
+ vX_[4325] = 0 - vX_[4250];
+ vX_[4398] = vX_[4325] * vX_[277];
+ vX_[4467] = vX_[4250] * vX_[1473];
+ vX_[4465] = vX_[6651] * x_in[28];
+ vX_[4484] = 0 - vX_[4465];
+ vX_[4442] = vX_[4246] * vX_[277];
+ vX_[7429] = 0 - vX_[4465];
+ vX_[7432] = vX_[7429] * vX_[277];
+ vX_[4474] = vX_[4246] * vX_[1473];
+ vX_[4501] = vX_[4465] * vX_[1473];
+ vX_[7443] = vX_[3174] * vX_[1556];
+ vX_[7431] = vX_[7424] * vX_[277] + vX_[7443] * vX_[277];
+ vX_[7442] = vX_[3158] * vX_[279] + vX_[7443] * vX_[1473];
+ jac[345] =
+ 0 -
+ (vX_[2943] * vX_[1400] + vX_[2955] * vX_[1580] + vX_[2743] * vX_[711] + vX_[8256] * vX_[713] +
+ vX_[8288] * vX_[370] + vX_[8231] * vX_[693] + vX_[9173] * vX_[353] + vX_[8270] * vX_[677] +
+ vX_[8290] * vX_[378] + vX_[435] * vX_[655] + vX_[1501] * vX_[654] + vX_[1043] * vX_[651] +
+ vX_[8003] * vX_[387] + vX_[1810] * vX_[601] + vX_[1934] * vX_[603] + vX_[2897] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[2716] * x_in[22] + vX_[1984] * x_in[19] +
+ (vX_[2950] * vX_[1400] + vX_[7869] * vX_[367] + vX_[2716] * x_in[20]) * 0.3735 -
+ (vX_[2941] * vX_[1279] + vX_[7851] * x_in[23]) + (vX_[2955] * vX_[1279] + vX_[7851] * x_in[19]) * 0.3735 +
+ (vX_[2961] * vX_[1279] + vX_[2602] * vX_[543] + vX_[7838] * vX_[597] + vX_[7827] * vX_[380] +
+ vX_[2085] * vX_[382] + vX_[2098] * vX_[353] + vX_[7441] * vX_[362] + vX_[7825] * vX_[365] +
+ vX_[7388] * vX_[381] + vX_[2604] * vX_[370] + vX_[6260] * vX_[541] + vX_[7838] * vX_[594] +
+ vX_[6456] * vX_[324] + vX_[6615] * vX_[548] + vX_[7851] * x_in[18]) *
+ 0.207 -
+ (vX_[2950] * vX_[1574] + vX_[7155] * vX_[710] + vX_[5254] * vX_[686] + vX_[6976] * vX_[353] +
+ vX_[6613] * vX_[694] + vX_[8228] * vX_[652] + vX_[8000] * vX_[388] + vX_[7409] * vX_[678] +
+ vX_[7842] * vX_[653] + vX_[7860] * vX_[596] + vX_[7832] * vX_[377] + vX_[2011] * vX_[600] +
+ vX_[7843] * vX_[630] + vX_[7856] * vX_[598] + vX_[7859] * vX_[549] + vX_[7869] * vX_[368] +
+ vX_[1575] * x_in[20]) +
+ vX_[3123] * vX_[2045] + vX_[3159] * vX_[1435] + vX_[1354] * vX_[275] + vX_[2740] * vX_[275] * 0.35 +
+ vX_[3170] * 0.3735 + vX_[3137] * 0.35 + vX_[3137] * vX_[303] * 0.08 + vX_[3137] * vX_[275] * -0.3735 +
+ vX_[7581] * vX_[303] * 0.3735 + vX_[7810] * vX_[275] * -0.08 + vX_[9204] * vX_[303] * -0.207 +
+ vX_[7872] * vX_[303] * 0.3735 + vX_[7872] * vX_[275] * 0.08 + vX_[7846] * 0.35 +
+ vX_[7846] * vX_[303] * 0.08 + vX_[7846] * vX_[275] * -0.3735 +
+ (vX_[9202] * vX_[275] + vX_[1747] * vX_[275]) * 0.207 + vX_[1963] * vX_[303] * 0.207 +
+ vX_[2823] * vX_[303] + vX_[4524] * vX_[275] + (0 - vX_[3162]) * 0.08 + vX_[3150] * vX_[303] * 0.35 +
+ vX_[440] * vX_[303] * 0.33 + vX_[3133] * vX_[275] * 0.33 + (0 - vX_[4934]) * 0.08 +
+ vX_[7386] * vX_[303] * 0.35 + vX_[5405] * vX_[303] * 0.33 + vX_[7385] * vX_[275] * 0.33 +
+ vX_[3141] * vX_[275] * 0.33 + vX_[5332] * vX_[303] * 0.33 + vX_[2398] * vX_[275] * 0.35 +
+ vX_[2074] * vX_[303] * 0.33 + vX_[2457] * 0.08 + vX_[2457] * vX_[303] * 0.35 +
+ (vX_[2893] * vX_[275] + vX_[7845] * vX_[303]) * 0.33 + vX_[7871] * vX_[275] * -0.33 +
+ (0 - vX_[7809]) * 0.08 + vX_[3300] * vX_[303] * 0.35 + vX_[5250] * vX_[303] * 0.33 +
+ vX_[7157] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[2941] * vX_[1400] + vX_[2943] * vX_[1279] + vX_[2950] * vX_[1580] + vX_[2955] * vX_[1574] +
+ vX_[7155] * vX_[713] + vX_[2743] * vX_[709] + vX_[8256] * vX_[710] + vX_[5254] * vX_[370] +
+ vX_[9143] * vX_[686] + vX_[6976] * vX_[693] + vX_[4530] * vX_[353] + vX_[9173] * vX_[694] +
+ vX_[8270] * vX_[678] + vX_[8228] * vX_[655] + vX_[8000] * vX_[378] + vX_[8290] * vX_[388] +
+ vX_[7409] * vX_[677] + vX_[435] * vX_[652] + vX_[7842] * vX_[654] + vX_[7860] * vX_[651] +
+ vX_[1501] * vX_[653] + vX_[1043] * vX_[596] + vX_[7832] * vX_[387] + vX_[8003] * vX_[377] +
+ vX_[2011] * vX_[603] + vX_[1810] * vX_[599] + vX_[1934] * vX_[600] + vX_[7843] * vX_[631] +
+ vX_[991] * vX_[630] + vX_[7856] * vX_[545] + vX_[2016] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[7869] * vX_[366] +
+ (vX_[7820] * vX_[595] + vX_[7867] * vX_[333] + vX_[2032] * vX_[382] + vX_[7826] * vX_[357] +
+ vX_[7858] * vX_[371] + vX_[5183] * vX_[356] + vX_[2348] * vX_[365] + vX_[4911] * vX_[353] +
+ vX_[7855] * vX_[370] + vX_[6205] * vX_[381] + vX_[7820] * vX_[591] + vX_[2436] * vX_[540] +
+ vX_[2032] * vX_[386] + vX_[7858] * vX_[537]) *
+ 0.207 +
+ vX_[2716] * x_in[23] + vX_[7851] * x_in[22] + vX_[1984] * x_in[20] + vX_[1575] * x_in[19] +
+ (vX_[2955] * vX_[1400] + vX_[7869] * vX_[354] + vX_[2716] * x_in[19]) * -0.3735 +
+ (vX_[2961] * vX_[1400] + vX_[2716] * x_in[18]) * -0.207 +
+ (vX_[2950] * vX_[1279] + vX_[7851] * x_in[20]) * 0.3735 + vX_[3167] * vX_[2050] + vX_[3143] * vX_[2047] -
+ vX_[5803] * vX_[303] + vX_[6623] * vX_[303] + (0 - vX_[3138]) * 0.3735 + vX_[3138] * vX_[275] * 0.35 +
+ (0 - vX_[3155]) * 0.207 + vX_[6387] * 0.35 + vX_[6387] * vX_[303] * 0.08 + vX_[6387] * vX_[275] * -0.3735 +
+ vX_[7445] * vX_[303] * 0.3735 + (0 - vX_[7154] * vX_[275]) * 0.08 - vX_[5409] * vX_[303] +
+ vX_[4903] * vX_[303] * 0.3735 + vX_[4903] * vX_[275] * 0.08 + vX_[4871] * 0.35 +
+ vX_[4871] * vX_[303] * 0.08 + vX_[4871] * vX_[275] * -0.3735 + vX_[7444] * vX_[275] + vX_[7419] * vX_[303] +
+ vX_[3158] * 0.08 + vX_[3158] * vX_[303] * 0.35 + vX_[3149] * vX_[303] * 0.33 + vX_[7424] * 0.08 +
+ vX_[7424] * vX_[303] * 0.35 + vX_[7425] * vX_[275] * -0.33 + vX_[4246] * 0.08 +
+ vX_[4246] * vX_[303] * 0.35 + vX_[4398] * vX_[275] * 0.33 + vX_[4467] * vX_[303] * -0.33 +
+ vX_[4484] * vX_[275] * 0.35 + (vX_[4442] * vX_[303] + vX_[7432] * vX_[275]) * 0.33 +
+ (vX_[4474] * vX_[275] + vX_[4501] * vX_[303]) * -0.33 + vX_[7443] * 0.08 + vX_[7443] * vX_[303] * 0.35 +
+ vX_[7431] * vX_[303] * 0.33 + vX_[7442] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[3170] = vX_[2951] - vX_[3353];
+ vX_[7155] = vX_[7464] + vX_[7451];
+ vX_[7826] = vX_[2942] + vX_[7512];
+ vX_[7827] = 0 - vX_[7826];
+ vX_[7869] = vX_[3170] * vX_[273];
+ vX_[7867] = vX_[3170] * vX_[354];
+ vX_[7842] = vX_[2953] + vX_[7504];
+ vX_[2602] = vX_[6643] + vX_[6430];
+ vX_[991] = vX_[6635] + vX_[7468];
+ vX_[7843] = vX_[6667] + vX_[3355];
+ vX_[7860] = vX_[7843] * vX_[354] + vX_[991] * vX_[273];
+ vX_[7409] = vX_[7843] * vX_[367] + vX_[991] * vX_[354];
+ vX_[2085] = vX_[6660] + vX_[6632];
+ vX_[7832] = 0 - (vX_[7531] + vX_[3352]) + vX_[2085];
+ vX_[2016] = vX_[6645] - vX_[6654];
+ vX_[7859] = vX_[3350] + vX_[7467];
+ vX_[7856] = vX_[6618] + vX_[6633];
+ vX_[2011] = 0 - vX_[7856];
+ vX_[9208] = vX_[2016] * vX_[273];
+ vX_[560] = vX_[2016] * vX_[354];
+ vX_[2897] = vX_[3541] * 0.881 + (0 - vX_[3543]) * 0.0004405 + vX_[3545] * -8.81e-05;
+ vX_[1934] = vX_[3539] * -0.881;
+ vX_[1810] = vX_[3543] * 0.1104774;
+ vX_[8003] = vX_[3547] * -8.81e-05;
+ vX_[8000] = vX_[1934] - vX_[1810] + vX_[8003];
+ vX_[1043] = vX_[2897] * vX_[1241] + vX_[8000] * vX_[1342];
+ vX_[1501] = vX_[3531] * 3.146 + (0 - vX_[3538]) * -0.0825825;
+ vX_[8228] = vX_[3530] * -3.146;
+ vX_[435] = vX_[3538] * 0.47422804;
+ vX_[8290] = vX_[8228] - vX_[435];
+ vX_[8270] = vX_[1043] + vX_[1501] * vX_[1547] + vX_[8290] * vX_[1616];
+ vX_[8256] = vX_[3518] * 3.44 + vX_[3521] * -0.5824264;
+ vX_[2743] = 0 - vX_[8256];
+ vX_[3167] = vX_[3509] * 3.44 + (0 - vX_[3521]) * 0.1466472;
+ vX_[3159] = vX_[3509] * vX_[370] + vX_[3485] * vX_[353] + vX_[3518] * vX_[362] + vX_[3521] * vX_[541] +
+ vX_[3523] * vX_[594];
+ vX_[3143] = vX_[8270] + vX_[2743] * vX_[1026] + vX_[3167] * vX_[1130] + vX_[3159] * x_in[27];
+ vX_[3123] = 0 - vX_[2897];
+ vX_[8003] = 0 - vX_[1934] + vX_[1810] - vX_[8003];
+ vX_[1810] = vX_[3528] * 0.0004405 + vX_[3539] * -8.81e-05 + vX_[3547] * -0.000227999999999999;
+ vX_[1934] = vX_[3528] * 0.1104774 + vX_[3541] * -8.81e-05 + (0 - vX_[3545]) * 0.025713;
+ vX_[4526] = (0 - vX_[3539]) * 0.0004405;
+ vX_[7405] = (0 - vX_[3541]) * 0.1104774;
+ vX_[4533] = vX_[4526] + vX_[7405];
+ vX_[4533] = vX_[3123] * vX_[2058] + vX_[8003] * vX_[1455] + vX_[1810] * vX_[1241] + vX_[1934] * vX_[1342] +
+ vX_[4533] * vX_[1465] + vX_[4533] * vX_[1465];
+ vX_[7516] = vX_[3528] * 0.881 + (0 - vX_[3545]) * 0.1104774 + vX_[3547] * 0.0004405;
+ vX_[4823] = vX_[3539] * 0.00185880198235362 + vX_[3541] * 0.880992588508842 + vX_[3545] * -8.81e-05;
+ vX_[3123] = vX_[3123] * vX_[1465] + vX_[7516] * vX_[1342] + vX_[4823] * x_in[29];
+ vX_[4983] = 0 - vX_[7516];
+ vX_[7014] = vX_[3539] * 0.414812462825713 + vX_[3541] * 0.00185880198235362 + vX_[3547] * 8.81e-05;
+ vX_[8003] = vX_[8003] * vX_[1465] + vX_[4983] * vX_[1241] - vX_[7014] * x_in[29];
+ vX_[7410] = 0 - vX_[1501];
+ vX_[435] = 0 - vX_[8228] + vX_[435];
+ vX_[8228] = vX_[3526] * -0.0825825 + (0 - vX_[3538]) * 0.000102 + vX_[3527] * 0.007418 + vX_[3536] * 0.002735;
+ vX_[4545] = vX_[3526] * 0.47422804 + vX_[3538] * 2.1e-05 + (0 - vX_[3527]) * 0.084376 + (0 - vX_[3536]) * 0.007418;
+ vX_[4534] = (0 - vX_[3530]) * -0.0825825;
+ vX_[6982] = (0 - vX_[3531]) * 0.47422804;
+ vX_[7433] = vX_[3527] * 0.000102;
+ vX_[4898] = (0 - vX_[3536]) * 2.1e-05;
+ vX_[7416] = vX_[4534] + vX_[6982] + vX_[7433] + vX_[4898];
+ vX_[7416] = vX_[4533] + vX_[3123] * vX_[1388] + vX_[8003] * vX_[282] + vX_[7410] * vX_[1460] +
+ vX_[435] * vX_[1116] + vX_[8228] * vX_[1547] + vX_[4545] * vX_[1616] + vX_[7416] * vX_[1109] +
+ vX_[7416] * vX_[1109];
+ vX_[7393] = vX_[3526] * 3.146 + (0 - vX_[3527]) * 0.47422804 + vX_[3536] * -0.0825825;
+ vX_[5106] = vX_[3530] * vX_[330] + vX_[3531] * vX_[329] + vX_[3527] * vX_[308] + vX_[3536] * vX_[302];
+ vX_[7410] = vX_[3123] * vX_[277] + vX_[8003] * vX_[279] + vX_[7410] * vX_[1109] + vX_[7393] * vX_[1616] +
+ vX_[5106] * x_in[28];
+ vX_[7428] = 0 - vX_[7393];
+ vX_[7413] = vX_[3530] * vX_[328] + vX_[3531] * vX_[330] + vX_[3527] * vX_[314] + vX_[3536] * vX_[313];
+ vX_[435] = vX_[3123] * vX_[1380] + vX_[8003] * vX_[277] + vX_[435] * vX_[1109] + vX_[7428] * vX_[1547] -
+ vX_[7413] * x_in[28];
+ vX_[7415] = 0 - vX_[3167];
+ vX_[7427] = vX_[3485] * -0.5824264 + (0 - vX_[3525]) * 0.022734 + vX_[3521] * 3.6e-05 + vX_[3523] * -0.133138;
+ vX_[7411] = vX_[3485] * 0.1466472 + vX_[3525] * 0.009466 + (0 - vX_[3521]) * -5.1e-05 + vX_[3523] * 0.022734;
+ vX_[7440] = (0 - vX_[3509]) * -0.5824264;
+ vX_[7439] = (0 - vX_[3518]) * 0.1466472;
+ vX_[4949] = (0 - vX_[3525]) * 3.6e-05;
+ vX_[4894] = (0 - vX_[3523]) * -5.1e-05;
+ vX_[4963] = vX_[7440] + vX_[7439] + vX_[4949] - vX_[4894];
+ vX_[4966] = vX_[3509] * vX_[386] + vX_[3485] * vX_[540] + vX_[3518] * vX_[594] + vX_[3521] * vX_[593] +
+ vX_[3523] * vX_[350];
+ vX_[4963] = vX_[7416] + vX_[7410] * vX_[1376] + vX_[435] * vX_[321] + vX_[8256] * vX_[1767] +
+ vX_[7415] * vX_[1126] + vX_[7427] * vX_[1026] + vX_[7411] * vX_[1130] + vX_[4963] * vX_[1274] +
+ vX_[4963] * vX_[1274] + vX_[4966] * x_in[27];
+ vX_[7397] = vX_[3240] - vX_[6654];
+ vX_[7402] = vX_[7397] * vX_[354] + vX_[7859] * vX_[273];
+ vX_[7396] = vX_[7397] * vX_[367] + vX_[7859] * vX_[354];
+ vX_[7395] = vX_[7396] + vX_[9208];
+ vX_[7392] = vX_[7402] * vX_[367] + vX_[7395] * vX_[354] + vX_[560] * vX_[273];
+ vX_[7391] = 0 - vX_[7392];
+ vX_[7401] = vX_[6654] + vX_[7402] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[7400] = 0 - vX_[7401];
+ vX_[7399] = vX_[6654] + vX_[7396] * vX_[367] + vX_[560] * vX_[354];
+ vX_[7398] = vX_[6624] + vX_[3351] - vX_[2602];
+ vX_[6961] = vX_[2085] * vX_[354] + vX_[2602] * vX_[273];
+ vX_[7482] = 0 - (vX_[7398] * vX_[367] + vX_[7832] * vX_[354]) + vX_[6961];
+ vX_[7515] = vX_[7482] + vX_[7401] * vX_[355];
+ vX_[7654] = 0 - vX_[7515];
+ vX_[7873] = vX_[2085] * vX_[367] + vX_[2602] * vX_[354];
+ vX_[6728] = vX_[7398] * vX_[354] + vX_[7832] * vX_[273] + vX_[7873];
+ vX_[6533] = 0 - vX_[7399];
+ vX_[6557] = vX_[6728] + vX_[7392] * vX_[355] + vX_[6533] * vX_[274];
+ vX_[7888] = vX_[2524] + vX_[7460];
+ vX_[7941] = vX_[7842] * vX_[354] + vX_[7888] * vX_[367];
+ vX_[7938] = vX_[7941] * vX_[354] + vX_[7409] * vX_[273];
+ vX_[6381] = vX_[3360] + vX_[6656];
+ vX_[7856] = 0 - vX_[7856];
+ vX_[6636] = vX_[6381] * vX_[367] + vX_[7856] * vX_[354];
+ vX_[6197] = 0 - vX_[6636];
+ vX_[6959] = vX_[7938] + vX_[6197] * vX_[274] + vX_[7400] * vX_[369];
+ vX_[6963] = 0 - vX_[6959];
+ vX_[6668] = vX_[7842] * vX_[273] + vX_[7888] * vX_[354];
+ vX_[6958] = vX_[6668] * vX_[367] + vX_[7860] * vX_[354];
+ vX_[6529] = vX_[6381] * vX_[354] + vX_[2011] * vX_[273];
+ vX_[6730] = 0 - vX_[6529];
+ vX_[5797] = vX_[6958] + vX_[6730] * vX_[355] + vX_[7399] * vX_[369];
+ vX_[6385] = vX_[6668] * vX_[354] + vX_[7860] * vX_[273];
+ vX_[6190] = vX_[6385] + vX_[6636] * vX_[355];
+ vX_[7066] = vX_[7941] * vX_[367] + vX_[7409] * vX_[354];
+ vX_[7886] = vX_[7066] + vX_[6529] * vX_[274] + vX_[7391] * vX_[369];
+ vX_[7535] = 0 - vX_[6190] + vX_[7886];
+ vX_[6727] = 0 - vX_[7392];
+ vX_[7018] = 0 - vX_[7401];
+ vX_[7400] = vX_[7391] * vX_[597] + vX_[7400] * vX_[543] + vX_[7399] * vX_[333] + vX_[7654] * vX_[370] +
+ vX_[6557] * vX_[381] + vX_[6963] * vX_[362] + vX_[5797] * vX_[356] + vX_[7535] * vX_[353] +
+ vX_[6727] * vX_[594] + vX_[7392] * vX_[591] + vX_[7018] * vX_[542] + vX_[7399] * vX_[546];
+ vX_[7391] = vX_[3485] * -3.44;
+ vX_[6676] = vX_[3525] * 0.1466472;
+ vX_[6194] = vX_[3523] * -0.5824264;
+ vX_[6188] = 0 - vX_[7391] + vX_[6676] - vX_[6194];
+ vX_[6955] = vX_[3509] * vX_[381] + vX_[3485] * vX_[356] + vX_[3518] * vX_[353] + vX_[3521] * vX_[591] +
+ vX_[3523] * vX_[540];
+ vX_[7415] = vX_[7410] * vX_[1375] + vX_[435] * vX_[303] + vX_[6188] * vX_[1026] + vX_[7415] * vX_[1274] -
+ vX_[6955] * x_in[27];
+ vX_[6956] = vX_[3240] + vX_[6645] + vX_[6654] - vX_[7401] - vX_[7399];
+ vX_[7017] = 0 - vX_[6956];
+ vX_[6961] = vX_[6961] + vX_[7017] * vX_[355];
+ vX_[7873] = vX_[7873] + vX_[6956] * vX_[274];
+ vX_[6992] = 0 - vX_[6557];
+ vX_[6991] = 0 - vX_[5797];
+ vX_[6997] = vX_[6625] + vX_[6641] + vX_[7888] + vX_[991] - vX_[6385] - vX_[7066];
+ vX_[7886] = vX_[6997] - vX_[7886];
+ vX_[6998] = 0 - vX_[6636];
+ vX_[5525] = 0 - vX_[7392];
+ vX_[5529] = 0 - vX_[7399];
+ vX_[5527] = vX_[7462] - vX_[3353];
+ vX_[5600] = vX_[7534] + vX_[2952];
+ vX_[5669] = vX_[5527] * vX_[354] + vX_[7155] * vX_[273];
+ vX_[5744] = vX_[5527] * vX_[367] + vX_[7155] * vX_[354];
+ vX_[3543] = vX_[3539] * 0.1104774 + vX_[3541] * 0.0004405 + vX_[3543] * 0.025941;
+ vX_[5746] = (0 - vX_[3528]) * -8.81e-05;
+ vX_[7405] = vX_[5746] + vX_[7405];
+ vX_[3547] = vX_[3528] * 0.0004405 + vX_[3539] * 8.81e-05 + vX_[3547] * 0.000468;
+ vX_[7405] = vX_[2897] * vX_[1309] + vX_[4983] * vX_[1455] + vX_[1810] * vX_[1465] + vX_[3543] * vX_[1342] +
+ vX_[7405] * vX_[1241] + vX_[7405] * vX_[1241] + vX_[3547] * x_in[29];
+ vX_[5746] = vX_[5746] + vX_[4526];
+ vX_[3545] = vX_[3528] * -0.1104774 + vX_[3541] * -8.81e-05 + vX_[3545] * 0.026409;
+ vX_[5746] = vX_[8000] * vX_[1309] + vX_[7516] * vX_[2058] + vX_[1934] * vX_[1465] + vX_[3543] * vX_[1241] +
+ vX_[5746] * vX_[1342] + vX_[5746] * vX_[1342] - vX_[3545] * x_in[29];
+ vX_[3543] = vX_[3530] * 0.47422804 + vX_[3531] * -0.0825825 + vX_[3538] * 0.081641 + (0 - vX_[3527]) * 2.1e-05 +
+ vX_[3536] * 0.000102;
+ vX_[7516] = (0 - vX_[3538]) * 0.007418;
+ vX_[4898] = vX_[6982] + vX_[7516] - vX_[4898];
+ vX_[6982] = vX_[3526] * vX_[297] + vX_[3530] * vX_[313] + vX_[3531] * vX_[302] + vX_[3527] * vX_[345] +
+ vX_[3536] * vX_[341];
+ vX_[4898] = vX_[1043] * -0.35 + vX_[7405] * vX_[277] + vX_[5746] * vX_[279] + vX_[1501] * vX_[1551] +
+ vX_[7428] * vX_[1116] + vX_[8228] * vX_[1109] + vX_[3543] * vX_[1616] + vX_[4898] * vX_[1547] +
+ vX_[4898] * vX_[1547] + vX_[6982] * x_in[28];
+ vX_[7516] = vX_[4534] - vX_[7516] - vX_[7433];
+ vX_[7433] = vX_[3526] * vX_[310] + vX_[3530] * vX_[314] + vX_[3531] * vX_[308] + vX_[3527] * vX_[339] +
+ vX_[3536] * vX_[345];
+ vX_[7516] = vX_[7405] * vX_[280] + vX_[5746] * vX_[277] + vX_[8290] * vX_[1551] + vX_[7393] * vX_[1460] +
+ vX_[4545] * vX_[1109] + vX_[3543] * vX_[1547] + vX_[7516] * vX_[1616] + vX_[7516] * vX_[1616] -
+ vX_[7433] * x_in[28];
+ vX_[6194] = vX_[7391] - vX_[6676] + vX_[6194];
+ vX_[6676] = vX_[3509] * 0.1466472 + vX_[3518] * -0.5824264 + vX_[3525] * -5.1e-05 + (0 - vX_[3521]) * -0.123672 +
+ (0 - vX_[3523]) * 3.6e-05;
+ vX_[7391] = vX_[3521] * 0.022734;
+ vX_[4949] = vX_[7440] - vX_[4949] - vX_[7391];
+ vX_[7440] = vX_[3509] * vX_[324] + vX_[3485] * vX_[591] + vX_[3518] * vX_[541] + vX_[3521] * vX_[539] +
+ vX_[3523] * vX_[593];
+ vX_[4949] = vX_[4898] * vX_[276] + vX_[7516] * vX_[303] + vX_[6194] * vX_[1767] + vX_[3167] * vX_[1777] +
+ vX_[6676] * vX_[1026] + vX_[7411] * vX_[1274] + vX_[4949] * vX_[1130] + vX_[4949] * vX_[1130] -
+ vX_[7440] * x_in[27];
+ vX_[3574] = vX_[3574] * vX_[2050];
+ vX_[3575] = vX_[3575] * vX_[2050];
+ vX_[7411] = vX_[3574] * vX_[277] + vX_[3575] * vX_[279];
+ vX_[3576] = vX_[3576] * vX_[2050];
+ vX_[3167] = 0 - vX_[3576];
+ vX_[3546] = vX_[3546] * vX_[2045];
+ vX_[3543] = vX_[3546] * vX_[277];
+ vX_[7393] = vX_[3546] * vX_[279];
+ vX_[4545] = 0 - vX_[7393];
+ vX_[3562] = vX_[3562] * vX_[2057];
+ vX_[8290] = vX_[3562] * vX_[279];
+ vX_[3548] = vX_[3548] * vX_[2045];
+ vX_[4534] = vX_[3548] * vX_[277];
+ vX_[7428] = vX_[3548] * vX_[279];
+ vX_[8228] = 0 - vX_[3562];
+ vX_[1501] = vX_[8228] * vX_[277];
+ vX_[3563] = vX_[3563] * vX_[2057];
+ vX_[1043] = 0 - vX_[3563];
+ vX_[1934] = vX_[1043] * vX_[279];
+ vX_[8000] = vX_[3563] * vX_[277];
+ vX_[3550] = vX_[3550] * vX_[2047];
+ vX_[3541] = vX_[3574] + vX_[3550];
+ vX_[3551] = vX_[3551] * vX_[2047];
+ vX_[3528] = 0 - vX_[3575] - vX_[3551];
+ vX_[4526] = vX_[3541] * vX_[279] + vX_[3528] * vX_[277];
+ vX_[4983] = vX_[3550] * vX_[277] + vX_[3551] * vX_[279];
+ vX_[3568] = vX_[3568] * vX_[2057] + vX_[3556] * vX_[2045];
+ vX_[3556] = 0 - vX_[3568];
+ vX_[1810] = 0 - vX_[3568];
+ vX_[2897] = vX_[1810] * vX_[277];
+ vX_[3539] = vX_[3568] * vX_[279];
+ vX_[5759] = vX_[3569] * vX_[1520] + vX_[3703] * vX_[1470] + vX_[3706] * vX_[1504];
+ vX_[7002] = 0 - vX_[5759];
+ vX_[7005] = vX_[3569] * vX_[1606] + vX_[3703] * vX_[1505] + vX_[3706] * vX_[1464];
+ vX_[5765] = vX_[7002] * x_in[18] + vX_[7005] * x_in[19];
+ vX_[5751] = 0 - vX_[5765];
+ vX_[7016] = 0 - vX_[5765];
+ vX_[7004] = vX_[7016] * vX_[277];
+ vX_[7015] = vX_[5765] * vX_[1473];
+ vX_[3569] = vX_[3569] * vX_[1502] + vX_[3703] * vX_[1521] + vX_[3706] * vX_[1607];
+ jac[1030] = vX_[7413] * vX_[1000] + vX_[5106] * vX_[1460] + vX_[7433] * vX_[1149] + vX_[6982] * vX_[1547] +
+ vX_[7416] + vX_[3569] * vX_[1526] + vX_[5759] * vX_[1477] + vX_[7005] * vX_[1511];
+ jac[1066] = vX_[7014] * vX_[2052] + vX_[4823] * vX_[2058] + vX_[3545] * vX_[1609] + vX_[3547] * vX_[1241] +
+ vX_[4533] + vX_[3569] * vX_[1535] + vX_[5759] * vX_[1488] + vX_[7005] * vX_[1508];
+ vX_[3545] = vX_[3569] * x_in[29];
+ vX_[3547] = vX_[3545] * vX_[277];
+ vX_[7014] = vX_[3545] * vX_[1473];
+ vX_[4823] = vX_[3569] * x_in[28];
+ vX_[4533] = vX_[4823] * vX_[1473];
+ vX_[7433] = vX_[5759] * x_in[27];
+ vX_[6982] = vX_[4823] * vX_[277];
+ vX_[7413] = vX_[7433] * vX_[277];
+ vX_[5106] = vX_[7433] * vX_[1473];
+ vX_[7416] = vX_[3580] * vX_[1563];
+ vX_[3706] = 0 - vX_[7416];
+ vX_[3703] = 0 - vX_[7416];
+ vX_[5789] = vX_[3703] * vX_[277];
+ vX_[6978] = vX_[7416] * vX_[1473];
+ vX_[7826] = 0 - vX_[7826];
+ vX_[5790] = vX_[5744] + vX_[7869];
+ vX_[7089] = 0 - vX_[6961];
+ vX_[6025] = 0 - vX_[7873];
+ vX_[6997] = 0 - vX_[6997] + vX_[6190];
+ vX_[6190] = 0 - vX_[6529];
+ vX_[3540] = vX_[3540] * vX_[2045];
+ vX_[6240] = vX_[3540] * vX_[279];
+ vX_[3542] = vX_[3542] * vX_[2045];
+ vX_[6595] = vX_[3542] * vX_[277];
+ vX_[3544] = vX_[3544] * vX_[2045];
+ vX_[3561] = vX_[3561] * vX_[2057];
+ vX_[3577] = vX_[3577] * vX_[2050];
+ vX_[6983] = vX_[3577] * vX_[277];
+ vX_[5824] = vX_[3577] * vX_[279];
+ vX_[5822] = 0 - vX_[5824];
+ vX_[3566] = vX_[3566] * vX_[1435];
+ vX_[6563] = vX_[3566] * vX_[279];
+ vX_[3578] = vX_[3578] * vX_[2050];
+ vX_[7006] = vX_[3578] * vX_[277];
+ vX_[6177] = vX_[3578] * vX_[279];
+ vX_[6989] = 0 - vX_[3540] - vX_[3566];
+ vX_[3567] = vX_[3567] * vX_[1435];
+ vX_[6966] = 0 - vX_[3542] - vX_[3567];
+ vX_[6243] = vX_[6989] * vX_[277] + vX_[6966] * vX_[279];
+ vX_[7001] = vX_[3567] * vX_[277];
+ vX_[3564] = vX_[3564] * vX_[2057] + vX_[3555] * vX_[2050];
+ vX_[3555] = vX_[3564] * vX_[277];
+ vX_[6986] = 0 - vX_[7005];
+ vX_[6988] = vX_[3569] * x_in[18] + vX_[6986] * x_in[20];
+ vX_[7000] = vX_[6988] * vX_[1473];
+ vX_[6984] = vX_[3569] * x_in[27];
+ vX_[7013] = vX_[5759] * x_in[29];
+ vX_[7012] = 0 - vX_[7013];
+ vX_[6228] = vX_[7012] * vX_[277];
+ vX_[6173] = vX_[7013] * vX_[1473];
+ vX_[6251] = vX_[5759] * x_in[28];
+ vX_[6257] = 0 - vX_[6251];
+ vX_[6970] = vX_[6984] * vX_[277];
+ vX_[6975] = 0 - vX_[6251];
+ vX_[6969] = vX_[6975] * vX_[277];
+ vX_[6968] = vX_[6984] * vX_[1473];
+ vX_[6965] = vX_[6251] * vX_[1473];
+ vX_[6964] = vX_[3580] * vX_[1556];
+ vX_[6974] = vX_[6988] * vX_[277] + vX_[6964] * vX_[277];
+ vX_[6973] = vX_[3564] * vX_[279] + vX_[6964] * vX_[1473];
+ jac[346] =
+ 0 -
+ (vX_[3349] * vX_[1400] + vX_[3361] * vX_[1580] + vX_[3170] * vX_[711] + vX_[7155] * vX_[713] +
+ vX_[7827] * vX_[370] + vX_[7869] * vX_[693] + vX_[7867] * vX_[353] + vX_[7842] * vX_[677] +
+ vX_[2602] * vX_[378] + vX_[991] * vX_[655] + vX_[7860] * vX_[654] + vX_[7409] * vX_[651] +
+ vX_[7832] * vX_[387] + vX_[2016] * vX_[601] + vX_[7859] * vX_[603] + vX_[2011] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[3143] * x_in[22] + vX_[4963] * x_in[19] +
+ (vX_[3356] * vX_[1400] + vX_[7400] * vX_[367] + vX_[3143] * x_in[20]) * 0.3735 -
+ (vX_[3347] * vX_[1279] + vX_[7415] * x_in[23]) + (vX_[3361] * vX_[1279] + vX_[7415] * x_in[19]) * 0.3735 +
+ (vX_[3367] * vX_[1279] + vX_[6197] * vX_[543] + vX_[6529] * vX_[597] + vX_[6956] * vX_[380] +
+ vX_[6533] * vX_[382] + vX_[6961] * vX_[353] + vX_[7873] * vX_[362] + vX_[6992] * vX_[365] +
+ vX_[6991] * vX_[381] + vX_[7886] * vX_[370] + vX_[6998] * vX_[541] + vX_[6529] * vX_[594] +
+ vX_[5525] * vX_[324] + vX_[5529] * vX_[548] + vX_[7415] * x_in[18]) *
+ 0.207 -
+ (vX_[3356] * vX_[1574] + vX_[5527] * vX_[710] + vX_[5600] * vX_[686] + vX_[5669] * vX_[353] +
+ vX_[5744] * vX_[694] + vX_[7843] * vX_[652] + vX_[2085] * vX_[388] + vX_[7888] * vX_[678] +
+ vX_[6668] * vX_[653] + vX_[7941] * vX_[596] + vX_[7398] * vX_[377] + vX_[7397] * vX_[600] +
+ vX_[6381] * vX_[630] + vX_[7402] * vX_[598] + vX_[7396] * vX_[549] + vX_[7400] * vX_[368] +
+ vX_[4949] * x_in[20]) +
+ vX_[3529] * vX_[2045] + vX_[3565] * vX_[1435] + vX_[7411] * vX_[275] + vX_[3167] * vX_[275] * 0.35 +
+ vX_[3576] * 0.3735 + vX_[3543] * 0.35 + vX_[3543] * vX_[303] * 0.08 + vX_[3543] * vX_[275] * -0.3735 +
+ vX_[4545] * vX_[303] * 0.3735 + vX_[7393] * vX_[275] * -0.08 + vX_[8290] * vX_[303] * -0.207 +
+ vX_[4534] * vX_[303] * 0.3735 + vX_[4534] * vX_[275] * 0.08 + vX_[7428] * 0.35 +
+ vX_[7428] * vX_[303] * 0.08 + vX_[7428] * vX_[275] * -0.3735 +
+ (vX_[1501] * vX_[275] + vX_[1934] * vX_[275]) * 0.207 + vX_[8000] * vX_[303] * 0.207 +
+ vX_[4526] * vX_[303] + vX_[4983] * vX_[275] + (0 - vX_[3568]) * 0.08 + vX_[3556] * vX_[303] * 0.35 +
+ vX_[2897] * vX_[303] * 0.33 + vX_[3539] * vX_[275] * 0.33 + (0 - vX_[5765]) * 0.08 +
+ vX_[5751] * vX_[303] * 0.35 + vX_[7004] * vX_[303] * 0.33 + vX_[7015] * vX_[275] * 0.33 +
+ vX_[3547] * vX_[275] * 0.33 + vX_[7014] * vX_[303] * 0.33 + vX_[4823] * vX_[275] * 0.35 +
+ vX_[4533] * vX_[303] * 0.33 + vX_[7433] * 0.08 + vX_[7433] * vX_[303] * 0.35 +
+ (vX_[6982] * vX_[275] + vX_[7413] * vX_[303]) * 0.33 + vX_[5106] * vX_[275] * -0.33 +
+ (0 - vX_[7416]) * 0.08 + vX_[3706] * vX_[303] * 0.35 + vX_[5789] * vX_[303] * 0.33 +
+ vX_[6978] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[3347] * vX_[1400] + vX_[3349] * vX_[1279] + vX_[3356] * vX_[1580] + vX_[3361] * vX_[1574] +
+ vX_[5527] * vX_[713] + vX_[3170] * vX_[709] + vX_[7155] * vX_[710] + vX_[5600] * vX_[370] +
+ vX_[7826] * vX_[686] + vX_[5669] * vX_[693] + vX_[5790] * vX_[353] + vX_[7867] * vX_[694] +
+ vX_[7842] * vX_[678] + vX_[7843] * vX_[655] + vX_[2085] * vX_[378] + vX_[2602] * vX_[388] +
+ vX_[7888] * vX_[677] + vX_[991] * vX_[652] + vX_[6668] * vX_[654] + vX_[7941] * vX_[651] +
+ vX_[7860] * vX_[653] + vX_[7409] * vX_[596] + vX_[7398] * vX_[387] + vX_[7832] * vX_[377] +
+ vX_[7397] * vX_[603] + vX_[2016] * vX_[599] + vX_[7859] * vX_[600] + vX_[6381] * vX_[631] +
+ vX_[7856] * vX_[630] + vX_[7402] * vX_[545] + vX_[7395] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[7400] * vX_[366] +
+ (vX_[6636] * vX_[595] + vX_[6730] * vX_[333] + vX_[7392] * vX_[382] + vX_[7017] * vX_[357] +
+ vX_[7401] * vX_[371] + vX_[7089] * vX_[356] + vX_[7515] * vX_[365] + vX_[6025] * vX_[353] +
+ vX_[6959] * vX_[370] + vX_[6997] * vX_[381] + vX_[6636] * vX_[591] + vX_[6190] * vX_[540] +
+ vX_[7392] * vX_[386] + vX_[7401] * vX_[537]) *
+ 0.207 +
+ vX_[3143] * x_in[23] + vX_[7415] * x_in[22] + vX_[4963] * x_in[20] + vX_[4949] * x_in[19] +
+ (vX_[3361] * vX_[1400] + vX_[7400] * vX_[354] + vX_[3143] * x_in[19]) * -0.3735 +
+ (vX_[3367] * vX_[1400] + vX_[3143] * x_in[18]) * -0.207 +
+ (vX_[3356] * vX_[1279] + vX_[7415] * x_in[20]) * 0.3735 + vX_[3573] * vX_[2050] + vX_[3549] * vX_[2047] -
+ vX_[6240] * vX_[303] + vX_[6595] * vX_[303] + (0 - vX_[3544]) * 0.3735 + vX_[3544] * vX_[275] * 0.35 +
+ (0 - vX_[3561]) * 0.207 + vX_[6983] * 0.35 + vX_[6983] * vX_[303] * 0.08 + vX_[6983] * vX_[275] * -0.3735 +
+ vX_[5822] * vX_[303] * 0.3735 + (0 - vX_[5824] * vX_[275]) * 0.08 - vX_[6563] * vX_[303] +
+ vX_[7006] * vX_[303] * 0.3735 + vX_[7006] * vX_[275] * 0.08 + vX_[6177] * 0.35 +
+ vX_[6177] * vX_[303] * 0.08 + vX_[6177] * vX_[275] * -0.3735 + vX_[6243] * vX_[275] + vX_[7001] * vX_[303] +
+ vX_[3564] * 0.08 + vX_[3564] * vX_[303] * 0.35 + vX_[3555] * vX_[303] * 0.33 + vX_[6988] * 0.08 +
+ vX_[6988] * vX_[303] * 0.35 + vX_[7000] * vX_[275] * -0.33 + vX_[6984] * 0.08 +
+ vX_[6984] * vX_[303] * 0.35 + vX_[6228] * vX_[275] * 0.33 + vX_[6173] * vX_[303] * -0.33 +
+ vX_[6257] * vX_[275] * 0.35 + (vX_[6970] * vX_[303] + vX_[6969] * vX_[275]) * 0.33 +
+ (vX_[6968] * vX_[275] + vX_[6965] * vX_[303]) * -0.33 + vX_[6964] * 0.08 + vX_[6964] * vX_[303] * 0.35 +
+ vX_[6974] * vX_[303] * 0.33 + vX_[6973] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[3576] = vX_[3357] - vX_[3749];
+ vX_[5527] = vX_[6603] + vX_[6589];
+ vX_[7017] = vX_[3348] + vX_[6503];
+ vX_[6956] = 0 - vX_[7017];
+ vX_[7400] = vX_[3576] * vX_[273];
+ vX_[6730] = vX_[3576] * vX_[354];
+ vX_[6668] = vX_[3359] + vX_[6639];
+ vX_[6197] = vX_[5766] + vX_[5763];
+ vX_[7856] = vX_[5783] + vX_[6608];
+ vX_[6381] = vX_[5796] + vX_[3751];
+ vX_[7941] = vX_[6381] * vX_[354] + vX_[7856] * vX_[273];
+ vX_[7888] = vX_[6381] * vX_[367] + vX_[7856] * vX_[354];
+ vX_[6533] = vX_[5777] + vX_[5747];
+ vX_[7398] = 0 - (vX_[6666] + vX_[3748]) + vX_[6533];
+ vX_[7395] = vX_[5572] - vX_[5774];
+ vX_[7396] = vX_[3746] + vX_[6591];
+ vX_[7402] = vX_[5745] + vX_[5753];
+ vX_[7397] = 0 - vX_[7402];
+ vX_[560] = vX_[7395] * vX_[273];
+ vX_[9208] = vX_[7395] * vX_[354];
+ vX_[2011] = vX_[3937] * 0.881 + (0 - vX_[3939]) * 0.0004405 + vX_[3941] * -8.81e-05;
+ vX_[7859] = vX_[3935] * -0.881;
+ vX_[2016] = vX_[3939] * 0.1104774;
+ vX_[7832] = vX_[3943] * -8.81e-05;
+ vX_[2085] = vX_[7859] - vX_[2016] + vX_[7832];
+ vX_[7409] = vX_[2011] * vX_[1241] + vX_[2085] * vX_[1342];
+ vX_[7860] = vX_[3927] * 3.146 + (0 - vX_[3934]) * -0.0825825;
+ vX_[7843] = vX_[3926] * -3.146;
+ vX_[991] = vX_[3934] * 0.47422804;
+ vX_[2602] = vX_[7843] - vX_[991];
+ vX_[7842] = vX_[7409] + vX_[7860] * vX_[1547] + vX_[2602] * vX_[1616];
+ vX_[7155] = vX_[3914] * 3.44 + vX_[3917] * -0.5824264;
+ vX_[3170] = 0 - vX_[7155];
+ vX_[3573] = vX_[3905] * 3.44 + (0 - vX_[3917]) * 0.1466472;
+ vX_[3565] = vX_[3905] * vX_[370] + vX_[3881] * vX_[353] + vX_[3914] * vX_[362] + vX_[3917] * vX_[541] +
+ vX_[3919] * vX_[594];
+ vX_[3549] = vX_[7842] + vX_[3170] * vX_[1026] + vX_[3573] * vX_[1130] + vX_[3565] * x_in[27];
+ vX_[3529] = 0 - vX_[2011];
+ vX_[7832] = 0 - vX_[7859] + vX_[2016] - vX_[7832];
+ vX_[2016] = vX_[3924] * 0.0004405 + vX_[3935] * -8.81e-05 + vX_[3943] * -0.000227999999999999;
+ vX_[7859] = vX_[3924] * 0.1104774 + vX_[3937] * -8.81e-05 + (0 - vX_[3941]) * 0.025713;
+ vX_[6972] = (0 - vX_[3935]) * 0.0004405;
+ vX_[6971] = (0 - vX_[3937]) * 0.1104774;
+ vX_[6542] = vX_[6972] + vX_[6971];
+ vX_[6542] = vX_[3529] * vX_[2058] + vX_[7832] * vX_[1455] + vX_[2016] * vX_[1241] + vX_[7859] * vX_[1342] +
+ vX_[6542] * vX_[1465] + vX_[6542] * vX_[1465];
+ vX_[8730] = vX_[3924] * 0.881 + (0 - vX_[3941]) * 0.1104774 + vX_[3943] * 0.0004405;
+ vX_[8801] = vX_[3935] * 0.00185880198235362 + vX_[3937] * 0.880992588508842 + vX_[3941] * -8.81e-05;
+ vX_[3529] = vX_[3529] * vX_[1465] + vX_[8730] * vX_[1342] + vX_[8801] * x_in[29];
+ vX_[8933] = 0 - vX_[8730];
+ vX_[9125] = vX_[3935] * 0.414812462825713 + vX_[3937] * 0.00185880198235362 + vX_[3943] * 8.81e-05;
+ vX_[7832] = vX_[7832] * vX_[1465] + vX_[8933] * vX_[1241] - vX_[9125] * x_in[29];
+ vX_[6309] = 0 - vX_[7860];
+ vX_[991] = 0 - vX_[7843] + vX_[991];
+ vX_[7843] = vX_[3922] * -0.0825825 + (0 - vX_[3934]) * 0.000102 + vX_[3923] * 0.007418 + vX_[3932] * 0.002735;
+ vX_[7731] = vX_[3922] * 0.47422804 + vX_[3934] * 2.1e-05 + (0 - vX_[3923]) * 0.084376 + (0 - vX_[3932]) * 0.007418;
+ vX_[6128] = (0 - vX_[3926]) * -0.0825825;
+ vX_[9123] = (0 - vX_[3927]) * 0.47422804;
+ vX_[1491] = vX_[3923] * 0.000102;
+ vX_[1260] = (0 - vX_[3932]) * 2.1e-05;
+ vX_[7656] = vX_[6128] + vX_[9123] + vX_[1491] + vX_[1260];
+ vX_[7656] = vX_[6542] + vX_[3529] * vX_[1388] + vX_[7832] * vX_[282] + vX_[6309] * vX_[1460] +
+ vX_[991] * vX_[1116] + vX_[7843] * vX_[1547] + vX_[7731] * vX_[1616] + vX_[7656] * vX_[1109] +
+ vX_[7656] * vX_[1109];
+ vX_[7882] = vX_[3922] * 3.146 + (0 - vX_[3923]) * 0.47422804 + vX_[3932] * -0.0825825;
+ vX_[7423] = vX_[3926] * vX_[330] + vX_[3927] * vX_[329] + vX_[3923] * vX_[308] + vX_[3932] * vX_[302];
+ vX_[6309] = vX_[3529] * vX_[277] + vX_[7832] * vX_[279] + vX_[6309] * vX_[1109] + vX_[7882] * vX_[1616] +
+ vX_[7423] * x_in[28];
+ vX_[6540] = 0 - vX_[7882];
+ vX_[6544] = vX_[3926] * vX_[328] + vX_[3927] * vX_[330] + vX_[3923] * vX_[314] + vX_[3932] * vX_[313];
+ vX_[991] = vX_[3529] * vX_[1380] + vX_[7832] * vX_[277] + vX_[991] * vX_[1109] + vX_[6540] * vX_[1547] -
+ vX_[6544] * x_in[28];
+ vX_[7921] = 0 - vX_[3573];
+ vX_[6539] = vX_[3881] * -0.5824264 + (0 - vX_[3921]) * 0.022734 + vX_[3917] * 3.6e-05 + vX_[3919] * -0.133138;
+ vX_[7727] = vX_[3881] * 0.1466472 + vX_[3921] * 0.009466 + (0 - vX_[3917]) * -5.1e-05 + vX_[3919] * 0.022734;
+ vX_[6311] = (0 - vX_[3905]) * -0.5824264;
+ vX_[7076] = (0 - vX_[3914]) * 0.1466472;
+ vX_[7660] = (0 - vX_[3921]) * 3.6e-05;
+ vX_[7450] = (0 - vX_[3919]) * -5.1e-05;
+ vX_[8319] = vX_[6311] + vX_[7076] + vX_[7660] - vX_[7450];
+ vX_[1970] = vX_[3905] * vX_[386] + vX_[3881] * vX_[540] + vX_[3914] * vX_[594] + vX_[3917] * vX_[593] +
+ vX_[3919] * vX_[350];
+ vX_[8319] = vX_[7656] + vX_[6309] * vX_[1376] + vX_[991] * vX_[321] + vX_[7155] * vX_[1767] +
+ vX_[7921] * vX_[1126] + vX_[6539] * vX_[1026] + vX_[7727] * vX_[1130] + vX_[8319] * vX_[1274] +
+ vX_[8319] * vX_[1274] + vX_[1970] * x_in[27];
+ vX_[8790] = vX_[3646] - vX_[5774];
+ vX_[6308] = vX_[8790] * vX_[354] + vX_[7396] * vX_[273];
+ vX_[6599] = vX_[8790] * vX_[367] + vX_[7396] * vX_[354];
+ vX_[7951] = vX_[6599] + vX_[560];
+ vX_[7459] = vX_[6308] * vX_[367] + vX_[7951] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[7465] = 0 - vX_[7459];
+ vX_[6536] = vX_[5774] + vX_[6308] * vX_[354] + vX_[560] * vX_[273];
+ vX_[6537] = 0 - vX_[6536];
+ vX_[6598] = vX_[5774] + vX_[6599] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[6573] = vX_[5499] + vX_[3747] - vX_[6197];
+ vX_[6572] = vX_[6533] * vX_[354] + vX_[6197] * vX_[273];
+ vX_[6578] = 0 - (vX_[6573] * vX_[367] + vX_[7398] * vX_[354]) + vX_[6572];
+ vX_[6579] = vX_[6578] + vX_[6536] * vX_[355];
+ vX_[6672] = 0 - vX_[6579];
+ vX_[6689] = vX_[6533] * vX_[367] + vX_[6197] * vX_[354];
+ vX_[6806] = vX_[6573] * vX_[354] + vX_[7398] * vX_[273] + vX_[6689];
+ vX_[6879] = 0 - vX_[6598];
+ vX_[6948] = vX_[6806] + vX_[7459] * vX_[355] + vX_[6879] * vX_[274];
+ vX_[6946] = vX_[7523] + vX_[6620];
+ vX_[7025] = vX_[6668] * vX_[354] + vX_[6946] * vX_[367];
+ vX_[7038] = vX_[7025] * vX_[354] + vX_[7888] * vX_[273];
+ vX_[6583] = vX_[3756] + vX_[5804];
+ vX_[7402] = 0 - vX_[7402];
+ vX_[6586] = vX_[6583] * vX_[367] + vX_[7402] * vX_[354];
+ vX_[7032] = 0 - vX_[6586];
+ vX_[7042] = vX_[7038] + vX_[7032] * vX_[274] + vX_[6537] * vX_[369];
+ vX_[6597] = 0 - vX_[7042];
+ vX_[6585] = vX_[6668] * vX_[273] + vX_[6946] * vX_[354];
+ vX_[6596] = vX_[6585] * vX_[367] + vX_[7941] * vX_[354];
+ vX_[7046] = vX_[6583] * vX_[354] + vX_[7397] * vX_[273];
+ vX_[6559] = 0 - vX_[7046];
+ vX_[7078] = vX_[6596] + vX_[6559] * vX_[355] + vX_[6598] * vX_[369];
+ vX_[6670] = vX_[6585] * vX_[354] + vX_[7941] * vX_[273];
+ vX_[7302] = vX_[6670] + vX_[6586] * vX_[355];
+ vX_[7526] = vX_[7025] * vX_[367] + vX_[7888] * vX_[354];
+ vX_[6166] = vX_[7526] + vX_[7046] * vX_[274] + vX_[7465] * vX_[369];
+ vX_[6564] = 0 - vX_[7302] + vX_[6166];
+ vX_[7087] = 0 - vX_[7459];
+ vX_[7101] = 0 - vX_[6536];
+ vX_[6537] = vX_[7465] * vX_[597] + vX_[6537] * vX_[543] + vX_[6598] * vX_[333] + vX_[6672] * vX_[370] +
+ vX_[6948] * vX_[381] + vX_[6597] * vX_[362] + vX_[7078] * vX_[356] + vX_[6564] * vX_[353] +
+ vX_[7087] * vX_[594] + vX_[7459] * vX_[591] + vX_[7101] * vX_[542] + vX_[6598] * vX_[546];
+ vX_[7465] = vX_[3881] * -3.44;
+ vX_[6134] = vX_[3921] * 0.1466472;
+ vX_[6587] = vX_[3919] * -0.5824264;
+ vX_[7377] = 0 - vX_[7465] + vX_[6134] - vX_[6587];
+ vX_[6570] = vX_[3905] * vX_[381] + vX_[3881] * vX_[356] + vX_[3914] * vX_[353] + vX_[3917] * vX_[591] +
+ vX_[3919] * vX_[540];
+ vX_[7921] = vX_[6309] * vX_[1375] + vX_[991] * vX_[303] + vX_[7377] * vX_[1026] + vX_[7921] * vX_[1274] -
+ vX_[6570] * x_in[27];
+ vX_[6547] = vX_[3646] + vX_[5572] + vX_[5774] - vX_[6536] - vX_[6598];
+ vX_[7532] = 0 - vX_[6547];
+ vX_[6572] = vX_[6572] + vX_[7532] * vX_[355];
+ vX_[6689] = vX_[6689] + vX_[6547] * vX_[274];
+ vX_[6582] = 0 - vX_[6948];
+ vX_[6567] = 0 - vX_[7078];
+ vX_[6569] = vX_[5754] + vX_[5758] + vX_[6946] + vX_[7856] - vX_[6670] - vX_[7526];
+ vX_[6166] = vX_[6569] - vX_[6166];
+ vX_[6581] = 0 - vX_[6586];
+ vX_[6565] = 0 - vX_[7459];
+ vX_[6594] = 0 - vX_[6598];
+ vX_[6593] = vX_[6607] - vX_[3749];
+ vX_[7476] = vX_[6675] + vX_[3358];
+ vX_[7373] = vX_[6593] * vX_[354] + vX_[5527] * vX_[273];
+ vX_[7528] = vX_[6593] * vX_[367] + vX_[5527] * vX_[354];
+ vX_[3939] = vX_[3935] * 0.1104774 + vX_[3937] * 0.0004405 + vX_[3939] * 0.025941;
+ vX_[7522] = (0 - vX_[3924]) * -8.81e-05;
+ vX_[6971] = vX_[7522] + vX_[6971];
+ vX_[3943] = vX_[3924] * 0.0004405 + vX_[3935] * 8.81e-05 + vX_[3943] * 0.000468;
+ vX_[6971] = vX_[2011] * vX_[1309] + vX_[8933] * vX_[1455] + vX_[2016] * vX_[1465] + vX_[3939] * vX_[1342] +
+ vX_[6971] * vX_[1241] + vX_[6971] * vX_[1241] + vX_[3943] * x_in[29];
+ vX_[7522] = vX_[7522] + vX_[6972];
+ vX_[3941] = vX_[3924] * -0.1104774 + vX_[3937] * -8.81e-05 + vX_[3941] * 0.026409;
+ vX_[7522] = vX_[2085] * vX_[1309] + vX_[8730] * vX_[2058] + vX_[7859] * vX_[1465] + vX_[3939] * vX_[1241] +
+ vX_[7522] * vX_[1342] + vX_[7522] * vX_[1342] - vX_[3941] * x_in[29];
+ vX_[3939] = vX_[3926] * 0.47422804 + vX_[3927] * -0.0825825 + vX_[3934] * 0.081641 + (0 - vX_[3923]) * 2.1e-05 +
+ vX_[3932] * 0.000102;
+ vX_[8730] = (0 - vX_[3934]) * 0.007418;
+ vX_[1260] = vX_[9123] + vX_[8730] - vX_[1260];
+ vX_[9123] = vX_[3922] * vX_[297] + vX_[3926] * vX_[313] + vX_[3927] * vX_[302] + vX_[3923] * vX_[345] +
+ vX_[3932] * vX_[341];
+ vX_[1260] = vX_[7409] * -0.35 + vX_[6971] * vX_[277] + vX_[7522] * vX_[279] + vX_[7860] * vX_[1551] +
+ vX_[6540] * vX_[1116] + vX_[7843] * vX_[1109] + vX_[3939] * vX_[1616] + vX_[1260] * vX_[1547] +
+ vX_[1260] * vX_[1547] + vX_[9123] * x_in[28];
+ vX_[8730] = vX_[6128] - vX_[8730] - vX_[1491];
+ vX_[1491] = vX_[3922] * vX_[310] + vX_[3926] * vX_[314] + vX_[3927] * vX_[308] + vX_[3923] * vX_[339] +
+ vX_[3932] * vX_[345];
+ vX_[8730] = vX_[6971] * vX_[280] + vX_[7522] * vX_[277] + vX_[2602] * vX_[1551] + vX_[7882] * vX_[1460] +
+ vX_[7731] * vX_[1109] + vX_[3939] * vX_[1547] + vX_[8730] * vX_[1616] + vX_[8730] * vX_[1616] -
+ vX_[1491] * x_in[28];
+ vX_[6587] = vX_[7465] - vX_[6134] + vX_[6587];
+ vX_[6134] = vX_[3905] * 0.1466472 + vX_[3914] * -0.5824264 + vX_[3921] * -5.1e-05 + (0 - vX_[3917]) * -0.123672 +
+ (0 - vX_[3919]) * 3.6e-05;
+ vX_[7465] = vX_[3917] * 0.022734;
+ vX_[7660] = vX_[6311] - vX_[7660] - vX_[7465];
+ vX_[6311] = vX_[3905] * vX_[324] + vX_[3881] * vX_[591] + vX_[3914] * vX_[541] + vX_[3917] * vX_[539] +
+ vX_[3919] * vX_[593];
+ vX_[7660] = vX_[1260] * vX_[276] + vX_[8730] * vX_[303] + vX_[6587] * vX_[1767] + vX_[3573] * vX_[1777] +
+ vX_[6134] * vX_[1026] + vX_[7727] * vX_[1274] + vX_[7660] * vX_[1130] + vX_[7660] * vX_[1130] -
+ vX_[6311] * x_in[27];
+ vX_[3970] = vX_[3970] * vX_[2050];
+ vX_[3971] = vX_[3971] * vX_[2050];
+ vX_[7727] = vX_[3970] * vX_[277] + vX_[3971] * vX_[279];
+ vX_[3972] = vX_[3972] * vX_[2050];
+ vX_[3573] = 0 - vX_[3972];
+ vX_[3942] = vX_[3942] * vX_[2045];
+ vX_[3939] = vX_[3942] * vX_[277];
+ vX_[7882] = vX_[3942] * vX_[279];
+ vX_[7731] = 0 - vX_[7882];
+ vX_[3958] = vX_[3958] * vX_[2057];
+ vX_[2602] = vX_[3958] * vX_[279];
+ vX_[3944] = vX_[3944] * vX_[2045];
+ vX_[6128] = vX_[3944] * vX_[277];
+ vX_[6540] = vX_[3944] * vX_[279];
+ vX_[7843] = 0 - vX_[3958];
+ vX_[7860] = vX_[7843] * vX_[277];
+ vX_[3959] = vX_[3959] * vX_[2057];
+ vX_[7409] = 0 - vX_[3959];
+ vX_[7859] = vX_[7409] * vX_[279];
+ vX_[2085] = vX_[3959] * vX_[277];
+ vX_[3946] = vX_[3946] * vX_[2047];
+ vX_[3937] = vX_[3970] + vX_[3946];
+ vX_[3947] = vX_[3947] * vX_[2047];
+ vX_[3924] = 0 - vX_[3971] - vX_[3947];
+ vX_[6972] = vX_[3937] * vX_[279] + vX_[3924] * vX_[277];
+ vX_[8933] = vX_[3946] * vX_[277] + vX_[3947] * vX_[279];
+ vX_[3964] = vX_[3964] * vX_[2057] + vX_[3952] * vX_[2045];
+ vX_[3952] = 0 - vX_[3964];
+ vX_[2016] = 0 - vX_[3964];
+ vX_[2011] = vX_[2016] * vX_[277];
+ vX_[3935] = vX_[3964] * vX_[279];
+ vX_[6551] = vX_[3965] * vX_[1520] + vX_[4099] * vX_[1470] + vX_[4102] * vX_[1504];
+ vX_[6556] = 0 - vX_[6551];
+ vX_[6550] = vX_[3965] * vX_[1606] + vX_[4099] * vX_[1505] + vX_[4102] * vX_[1464];
+ vX_[6549] = vX_[6556] * x_in[18] + vX_[6550] * x_in[19];
+ vX_[6546] = 0 - vX_[6549];
+ vX_[6545] = 0 - vX_[6549];
+ vX_[6555] = vX_[6545] * vX_[277];
+ vX_[6554] = vX_[6549] * vX_[1473];
+ vX_[3965] = vX_[3965] * vX_[1502] + vX_[4099] * vX_[1521] + vX_[4102] * vX_[1607];
+ jac[1031] = vX_[6544] * vX_[1000] + vX_[7423] * vX_[1460] + vX_[1491] * vX_[1149] + vX_[9123] * vX_[1547] +
+ vX_[7656] + vX_[3965] * vX_[1526] + vX_[6551] * vX_[1477] + vX_[6550] * vX_[1511];
+ jac[1067] = vX_[9125] * vX_[2052] + vX_[8801] * vX_[2058] + vX_[3941] * vX_[1609] + vX_[3943] * vX_[1241] +
+ vX_[6542] + vX_[3965] * vX_[1535] + vX_[6551] * vX_[1488] + vX_[6550] * vX_[1508];
+ vX_[3941] = vX_[3965] * x_in[29];
+ vX_[3943] = vX_[3941] * vX_[277];
+ vX_[9125] = vX_[3941] * vX_[1473];
+ vX_[8801] = vX_[3965] * x_in[28];
+ vX_[6542] = vX_[8801] * vX_[1473];
+ vX_[1491] = vX_[6551] * x_in[27];
+ vX_[9123] = vX_[8801] * vX_[277];
+ vX_[6544] = vX_[1491] * vX_[277];
+ vX_[7423] = vX_[1491] * vX_[1473];
+ vX_[7656] = vX_[3976] * vX_[1563];
+ vX_[4102] = 0 - vX_[7656];
+ vX_[4099] = 0 - vX_[7656];
+ vX_[6553] = vX_[4099] * vX_[277];
+ vX_[6552] = vX_[7656] * vX_[1473];
+ vX_[7017] = 0 - vX_[7017];
+ vX_[6113] = vX_[7528] + vX_[7400];
+ vX_[3660] = 0 - vX_[6572];
+ vX_[3709] = 0 - vX_[6689];
+ vX_[6569] = 0 - vX_[6569] + vX_[7302];
+ vX_[7302] = 0 - vX_[7046];
+ vX_[3936] = vX_[3936] * vX_[2045];
+ vX_[3722] = vX_[3936] * vX_[279];
+ vX_[3938] = vX_[3938] * vX_[2045];
+ vX_[918] = vX_[3938] * vX_[277];
+ vX_[3940] = vX_[3940] * vX_[2045];
+ vX_[3957] = vX_[3957] * vX_[2057];
+ vX_[3973] = vX_[3973] * vX_[2050];
+ vX_[5880] = vX_[3973] * vX_[277];
+ vX_[9001] = vX_[3973] * vX_[279];
+ vX_[5699] = 0 - vX_[9001];
+ vX_[3962] = vX_[3962] * vX_[1435];
+ vX_[998] = vX_[3962] * vX_[279];
+ vX_[3974] = vX_[3974] * vX_[2050];
+ vX_[4999] = vX_[3974] * vX_[277];
+ vX_[2918] = vX_[3974] * vX_[279];
+ vX_[8793] = 0 - vX_[3936] - vX_[3962];
+ vX_[3963] = vX_[3963] * vX_[1435];
+ vX_[987] = 0 - vX_[3938] - vX_[3963];
+ vX_[8738] = vX_[8793] * vX_[277] + vX_[987] * vX_[279];
+ vX_[6111] = vX_[3963] * vX_[277];
+ vX_[3960] = vX_[3960] * vX_[2057] + vX_[3951] * vX_[2050];
+ vX_[3951] = vX_[3960] * vX_[277];
+ vX_[6115] = 0 - vX_[6550];
+ vX_[1461] = vX_[3965] * x_in[18] + vX_[6115] * x_in[20];
+ vX_[6110] = vX_[1461] * vX_[1473];
+ vX_[8997] = vX_[3965] * x_in[27];
+ vX_[5882] = vX_[6551] * x_in[29];
+ vX_[8322] = 0 - vX_[5882];
+ vX_[8810] = vX_[8322] * vX_[277];
+ vX_[8727] = vX_[5882] * vX_[1473];
+ vX_[3284] = vX_[6551] * x_in[28];
+ vX_[1147] = 0 - vX_[3284];
+ vX_[3719] = vX_[8997] * vX_[277];
+ vX_[5879] = 0 - vX_[3284];
+ vX_[6170] = vX_[5879] * vX_[277];
+ vX_[1560] = vX_[8997] * vX_[1473];
+ vX_[8736] = vX_[3284] * vX_[1473];
+ vX_[8725] = vX_[3976] * vX_[1556];
+ vX_[6107] = vX_[1461] * vX_[277] + vX_[8725] * vX_[277];
+ vX_[6108] = vX_[3960] * vX_[279] + vX_[8725] * vX_[1473];
+ jac[347] =
+ 0 -
+ (vX_[3745] * vX_[1400] + vX_[3757] * vX_[1580] + vX_[3576] * vX_[711] + vX_[5527] * vX_[713] +
+ vX_[6956] * vX_[370] + vX_[7400] * vX_[693] + vX_[6730] * vX_[353] + vX_[6668] * vX_[677] +
+ vX_[6197] * vX_[378] + vX_[7856] * vX_[655] + vX_[7941] * vX_[654] + vX_[7888] * vX_[651] +
+ vX_[7398] * vX_[387] + vX_[7395] * vX_[601] + vX_[7396] * vX_[603] + vX_[7397] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[3549] * x_in[22] + vX_[8319] * x_in[19] +
+ (vX_[3752] * vX_[1400] + vX_[6537] * vX_[367] + vX_[3549] * x_in[20]) * 0.3735 -
+ (vX_[2917] * vX_[1279] + vX_[7921] * x_in[23]) + (vX_[3757] * vX_[1279] + vX_[7921] * x_in[19]) * 0.3735 +
+ (vX_[3763] * vX_[1279] + vX_[7032] * vX_[543] + vX_[7046] * vX_[597] + vX_[6547] * vX_[380] +
+ vX_[6879] * vX_[382] + vX_[6572] * vX_[353] + vX_[6689] * vX_[362] + vX_[6582] * vX_[365] +
+ vX_[6567] * vX_[381] + vX_[6166] * vX_[370] + vX_[6581] * vX_[541] + vX_[7046] * vX_[594] +
+ vX_[6565] * vX_[324] + vX_[6594] * vX_[548] + vX_[7921] * x_in[18]) *
+ 0.207 -
+ (vX_[3752] * vX_[1574] + vX_[6593] * vX_[710] + vX_[7476] * vX_[686] + vX_[7373] * vX_[353] +
+ vX_[7528] * vX_[694] + vX_[6381] * vX_[652] + vX_[6533] * vX_[388] + vX_[6946] * vX_[678] +
+ vX_[6585] * vX_[653] + vX_[7025] * vX_[596] + vX_[6573] * vX_[377] + vX_[8790] * vX_[600] +
+ vX_[6583] * vX_[630] + vX_[6308] * vX_[598] + vX_[6599] * vX_[549] + vX_[6537] * vX_[368] +
+ vX_[7660] * x_in[20]) +
+ vX_[3925] * vX_[2045] + vX_[3961] * vX_[1435] + vX_[7727] * vX_[275] + vX_[3573] * vX_[275] * 0.35 +
+ vX_[3972] * 0.3735 + vX_[3939] * 0.35 + vX_[3939] * vX_[303] * 0.08 + vX_[3939] * vX_[275] * -0.3735 +
+ vX_[7731] * vX_[303] * 0.3735 + vX_[7882] * vX_[275] * -0.08 + vX_[2602] * vX_[303] * -0.207 +
+ vX_[6128] * vX_[303] * 0.3735 + vX_[6128] * vX_[275] * 0.08 + vX_[6540] * 0.35 +
+ vX_[6540] * vX_[303] * 0.08 + vX_[6540] * vX_[275] * -0.3735 +
+ (vX_[7860] * vX_[275] + vX_[7859] * vX_[275]) * 0.207 + vX_[2085] * vX_[303] * 0.207 +
+ vX_[6972] * vX_[303] + vX_[8933] * vX_[275] + (0 - vX_[3964]) * 0.08 + vX_[3952] * vX_[303] * 0.35 +
+ vX_[2011] * vX_[303] * 0.33 + vX_[3935] * vX_[275] * 0.33 + (0 - vX_[6549]) * 0.08 +
+ vX_[6546] * vX_[303] * 0.35 + vX_[6555] * vX_[303] * 0.33 + vX_[6554] * vX_[275] * 0.33 +
+ vX_[3943] * vX_[275] * 0.33 + vX_[9125] * vX_[303] * 0.33 + vX_[8801] * vX_[275] * 0.35 +
+ vX_[6542] * vX_[303] * 0.33 + vX_[1491] * 0.08 + vX_[1491] * vX_[303] * 0.35 +
+ (vX_[9123] * vX_[275] + vX_[6544] * vX_[303]) * 0.33 + vX_[7423] * vX_[275] * -0.33 +
+ (0 - vX_[7656]) * 0.08 + vX_[4102] * vX_[303] * 0.35 + vX_[6553] * vX_[303] * 0.33 +
+ vX_[6552] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[2917] * vX_[1400] + vX_[3745] * vX_[1279] + vX_[3752] * vX_[1580] + vX_[3757] * vX_[1574] +
+ vX_[6593] * vX_[713] + vX_[3576] * vX_[709] + vX_[5527] * vX_[710] + vX_[7476] * vX_[370] +
+ vX_[7017] * vX_[686] + vX_[7373] * vX_[693] + vX_[6113] * vX_[353] + vX_[6730] * vX_[694] +
+ vX_[6668] * vX_[678] + vX_[6381] * vX_[655] + vX_[6533] * vX_[378] + vX_[6197] * vX_[388] +
+ vX_[6946] * vX_[677] + vX_[7856] * vX_[652] + vX_[6585] * vX_[654] + vX_[7025] * vX_[651] +
+ vX_[7941] * vX_[653] + vX_[7888] * vX_[596] + vX_[6573] * vX_[387] + vX_[7398] * vX_[377] +
+ vX_[8790] * vX_[603] + vX_[7395] * vX_[599] + vX_[7396] * vX_[600] + vX_[6583] * vX_[631] +
+ vX_[7402] * vX_[630] + vX_[6308] * vX_[545] + vX_[7951] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[6537] * vX_[366] +
+ (vX_[6586] * vX_[595] + vX_[6559] * vX_[333] + vX_[7459] * vX_[382] + vX_[7532] * vX_[357] +
+ vX_[6536] * vX_[371] + vX_[3660] * vX_[356] + vX_[6579] * vX_[365] + vX_[3709] * vX_[353] +
+ vX_[7042] * vX_[370] + vX_[6569] * vX_[381] + vX_[6586] * vX_[591] + vX_[7302] * vX_[540] +
+ vX_[7459] * vX_[386] + vX_[6536] * vX_[537]) *
+ 0.207 +
+ vX_[3549] * x_in[23] + vX_[7921] * x_in[22] + vX_[8319] * x_in[20] + vX_[7660] * x_in[19] +
+ (vX_[3757] * vX_[1400] + vX_[6537] * vX_[354] + vX_[3549] * x_in[19]) * -0.3735 +
+ (vX_[3763] * vX_[1400] + vX_[3549] * x_in[18]) * -0.207 +
+ (vX_[3752] * vX_[1279] + vX_[7921] * x_in[20]) * 0.3735 + vX_[3969] * vX_[2050] + vX_[3945] * vX_[2047] -
+ vX_[3722] * vX_[303] + vX_[918] * vX_[303] + (0 - vX_[3940]) * 0.3735 + vX_[3940] * vX_[275] * 0.35 +
+ (0 - vX_[3957]) * 0.207 + vX_[5880] * 0.35 + vX_[5880] * vX_[303] * 0.08 + vX_[5880] * vX_[275] * -0.3735 +
+ vX_[5699] * vX_[303] * 0.3735 + (0 - vX_[9001] * vX_[275]) * 0.08 - vX_[998] * vX_[303] +
+ vX_[4999] * vX_[303] * 0.3735 + vX_[4999] * vX_[275] * 0.08 + vX_[2918] * 0.35 +
+ vX_[2918] * vX_[303] * 0.08 + vX_[2918] * vX_[275] * -0.3735 + vX_[8738] * vX_[275] + vX_[6111] * vX_[303] +
+ vX_[3960] * 0.08 + vX_[3960] * vX_[303] * 0.35 + vX_[3951] * vX_[303] * 0.33 + vX_[1461] * 0.08 +
+ vX_[1461] * vX_[303] * 0.35 + vX_[6110] * vX_[275] * -0.33 + vX_[8997] * 0.08 +
+ vX_[8997] * vX_[303] * 0.35 + vX_[8810] * vX_[275] * 0.33 + vX_[8727] * vX_[303] * -0.33 +
+ vX_[1147] * vX_[275] * 0.35 + (vX_[3719] * vX_[303] + vX_[6170] * vX_[275]) * 0.33 +
+ (vX_[1560] * vX_[275] + vX_[8736] * vX_[303]) * -0.33 + vX_[8725] * 0.08 + vX_[8725] * vX_[303] * 0.35 +
+ vX_[6107] * vX_[303] * 0.33 + vX_[6108] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[3972] = vX_[6683] - vX_[4167];
+ vX_[6593] = vX_[4161] + vX_[5660];
+ vX_[7532] = vX_[4156] + vX_[5800];
+ vX_[6547] = 0 - vX_[7532];
+ vX_[6537] = vX_[3972] * vX_[273];
+ vX_[6559] = vX_[3972] * vX_[354];
+ vX_[6585] = vX_[4158] + vX_[3744];
+ vX_[7032] = vX_[4916] + vX_[4651];
+ vX_[7402] = vX_[4157] + vX_[5672];
+ vX_[6583] = vX_[4148] + vX_[4168];
+ vX_[7025] = vX_[6583] * vX_[354] + vX_[7402] * vX_[273];
+ vX_[6946] = vX_[6583] * vX_[367] + vX_[7402] * vX_[354];
+ vX_[6879] = vX_[4923] + vX_[4905];
+ vX_[6573] = 0 - (vX_[4155] + vX_[4166]) + vX_[6879];
+ vX_[7951] = vX_[4908] - vX_[4172];
+ vX_[6599] = vX_[4151] + vX_[5676];
+ vX_[6308] = vX_[4883] + vX_[4906];
+ vX_[8790] = 0 - vX_[6308];
+ vX_[9208] = vX_[7951] * vX_[273];
+ vX_[560] = vX_[7951] * vX_[354];
+ vX_[7397] = vX_[4352] * 0.881 + (0 - vX_[4354]) * 0.0004405 + vX_[4356] * -8.81e-05;
+ vX_[7396] = vX_[4350] * -0.881;
+ vX_[7395] = vX_[4354] * 0.1104774;
+ vX_[7398] = vX_[4358] * -8.81e-05;
+ vX_[6533] = vX_[7396] - vX_[7395] + vX_[7398];
+ vX_[7888] = vX_[7397] * vX_[1241] + vX_[6533] * vX_[1342];
+ vX_[7941] = vX_[4342] * 3.146 + (0 - vX_[4349]) * -0.0825825;
+ vX_[6381] = vX_[4341] * -3.146;
+ vX_[7856] = vX_[4349] * 0.47422804;
+ vX_[6197] = vX_[6381] - vX_[7856];
+ vX_[6668] = vX_[7888] + vX_[7941] * vX_[1547] + vX_[6197] * vX_[1616];
+ vX_[5527] = vX_[4329] * 3.44 + vX_[4332] * -0.5824264;
+ vX_[3576] = 0 - vX_[5527];
+ vX_[3969] = vX_[4320] * 3.44 + (0 - vX_[4332]) * 0.1466472;
+ vX_[3961] = vX_[4320] * vX_[370] + vX_[4296] * vX_[353] + vX_[4329] * vX_[362] + vX_[4332] * vX_[541] +
+ vX_[4334] * vX_[594];
+ vX_[3945] = vX_[6668] + vX_[3576] * vX_[1026] + vX_[3969] * vX_[1130] + vX_[3961] * x_in[27];
+ vX_[3925] = 0 - vX_[7397];
+ vX_[7398] = 0 - vX_[7396] + vX_[7395] - vX_[7398];
+ vX_[7395] = vX_[4339] * 0.0004405 + vX_[4350] * -8.81e-05 + vX_[4358] * -0.000227999999999999;
+ vX_[7396] = vX_[4339] * 0.1104774 + vX_[4352] * -8.81e-05 + (0 - vX_[4356]) * 0.025713;
+ vX_[6169] = (0 - vX_[4350]) * 0.0004405;
+ vX_[6144] = (0 - vX_[4352]) * 0.1104774;
+ vX_[6143] = vX_[6169] + vX_[6144];
+ vX_[6143] = vX_[3925] * vX_[2058] + vX_[7398] * vX_[1455] + vX_[7395] * vX_[1241] + vX_[7396] * vX_[1342] +
+ vX_[6143] * vX_[1465] + vX_[6143] * vX_[1465];
+ vX_[6149] = vX_[4339] * 0.881 + (0 - vX_[4356]) * 0.1104774 + vX_[4358] * 0.0004405;
+ vX_[6150] = vX_[4350] * 0.00185880198235362 + vX_[4352] * 0.880992588508842 + vX_[4356] * -8.81e-05;
+ vX_[3925] = vX_[3925] * vX_[1465] + vX_[6149] * vX_[1342] + vX_[6150] * x_in[29];
+ vX_[7959] = 0 - vX_[6149];
+ vX_[7942] = vX_[4350] * 0.414812462825713 + vX_[4352] * 0.00185880198235362 + vX_[4358] * 8.81e-05;
+ vX_[7398] = vX_[7398] * vX_[1465] + vX_[7959] * vX_[1241] - vX_[7942] * x_in[29];
+ vX_[7962] = 0 - vX_[7941];
+ vX_[7856] = 0 - vX_[6381] + vX_[7856];
+ vX_[6381] = vX_[4337] * -0.0825825 + (0 - vX_[4349]) * 0.000102 + vX_[4338] * 0.007418 + vX_[4347] * 0.002735;
+ vX_[8077] = vX_[4337] * 0.47422804 + vX_[4349] * 2.1e-05 + (0 - vX_[4338]) * 0.084376 + (0 - vX_[4347]) * 0.007418;
+ vX_[8146] = (0 - vX_[4341]) * -0.0825825;
+ vX_[8221] = (0 - vX_[4342]) * 0.47422804;
+ vX_[8223] = vX_[4338] * 0.000102;
+ vX_[8296] = (0 - vX_[4347]) * 2.1e-05;
+ vX_[6154] = vX_[8146] + vX_[8221] + vX_[8223] + vX_[8296];
+ vX_[6154] = vX_[6143] + vX_[3925] * vX_[1388] + vX_[7398] * vX_[282] + vX_[7962] * vX_[1460] +
+ vX_[7856] * vX_[1116] + vX_[6381] * vX_[1547] + vX_[8077] * vX_[1616] + vX_[6154] * vX_[1109] +
+ vX_[6154] * vX_[1109];
+ vX_[6157] = vX_[4337] * 3.146 + (0 - vX_[4338]) * 0.47422804 + vX_[4347] * -0.0825825;
+ vX_[8307] = vX_[4341] * vX_[330] + vX_[4342] * vX_[329] + vX_[4338] * vX_[308] + vX_[4347] * vX_[302];
+ vX_[7962] = vX_[3925] * vX_[277] + vX_[7398] * vX_[279] + vX_[7962] * vX_[1109] + vX_[6157] * vX_[1616] +
+ vX_[8307] * x_in[28];
+ vX_[8305] = 0 - vX_[6157];
+ vX_[6168] = vX_[4341] * vX_[328] + vX_[4342] * vX_[330] + vX_[4338] * vX_[314] + vX_[4347] * vX_[313];
+ vX_[7856] = vX_[3925] * vX_[1380] + vX_[7398] * vX_[277] + vX_[7856] * vX_[1109] + vX_[8305] * vX_[1547] -
+ vX_[6168] * x_in[28];
+ vX_[6156] = 0 - vX_[3969];
+ vX_[6167] = vX_[4296] * -0.5824264 + (0 - vX_[4336]) * 0.022734 + vX_[4332] * 3.6e-05 + vX_[4334] * -0.133138;
+ vX_[8330] = vX_[4296] * 0.1466472 + vX_[4336] * 0.009466 + (0 - vX_[4332]) * -5.1e-05 + vX_[4334] * 0.022734;
+ vX_[6130] = (0 - vX_[4320]) * -0.5824264;
+ vX_[8353] = (0 - vX_[4329]) * 0.1466472;
+ vX_[6241] = (0 - vX_[4336]) * 3.6e-05;
+ vX_[8502] = (0 - vX_[4334]) * -5.1e-05;
+ vX_[8803] = vX_[6130] + vX_[8353] + vX_[6241] - vX_[8502];
+ vX_[5737] = vX_[4320] * vX_[386] + vX_[4296] * vX_[540] + vX_[4329] * vX_[594] + vX_[4332] * vX_[593] +
+ vX_[4334] * vX_[350];
+ vX_[8803] = vX_[6154] + vX_[7962] * vX_[1376] + vX_[7856] * vX_[321] + vX_[5527] * vX_[1767] +
+ vX_[6156] * vX_[1126] + vX_[6167] * vX_[1026] + vX_[8330] * vX_[1130] + vX_[8803] * vX_[1274] +
+ vX_[8803] * vX_[1274] + vX_[5737] * x_in[27];
+ vX_[6135] = vX_[5795] - vX_[4172];
+ vX_[8340] = vX_[6135] * vX_[354] + vX_[6599] * vX_[273];
+ vX_[8360] = vX_[6135] * vX_[367] + vX_[6599] * vX_[354];
+ vX_[5705] = vX_[8360] + vX_[9208];
+ vX_[6158] = vX_[8340] * vX_[367] + vX_[5705] * vX_[354] + vX_[560] * vX_[273];
+ vX_[8654] = 0 - vX_[6158];
+ vX_[6141] = vX_[4172] + vX_[8340] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[6118] = 0 - vX_[6141];
+ vX_[8797] = vX_[4172] + vX_[8360] * vX_[367] + vX_[560] * vX_[354];
+ vX_[6153] = vX_[4154] + vX_[4165] - vX_[7032];
+ vX_[6138] = vX_[6879] * vX_[354] + vX_[7032] * vX_[273];
+ vX_[6140] = 0 - (vX_[6153] * vX_[367] + vX_[6573] * vX_[354]) + vX_[6138];
+ vX_[6152] = vX_[6140] + vX_[6141] * vX_[355];
+ vX_[6136] = 0 - vX_[6152];
+ vX_[6165] = vX_[6879] * vX_[367] + vX_[7032] * vX_[354];
+ vX_[6164] = vX_[6153] * vX_[354] + vX_[6573] * vX_[273] + vX_[6165];
+ vX_[8765] = 0 - vX_[8797];
+ vX_[8650] = vX_[6164] + vX_[6158] * vX_[355] + vX_[8765] * vX_[274];
+ vX_[8789] = vX_[4153] + vX_[5756];
+ vX_[8799] = vX_[6585] * vX_[354] + vX_[8789] * vX_[367];
+ vX_[6122] = vX_[8799] * vX_[354] + vX_[6946] * vX_[273];
+ vX_[6127] = vX_[4142] + vX_[4937];
+ vX_[6308] = 0 - vX_[6308];
+ vX_[6121] = vX_[6127] * vX_[367] + vX_[6308] * vX_[354];
+ vX_[6120] = 0 - vX_[6121];
+ vX_[6117] = vX_[6122] + vX_[6120] * vX_[274] + vX_[6118] * vX_[369];
+ vX_[6116] = 0 - vX_[6117];
+ vX_[6126] = vX_[6585] * vX_[273] + vX_[8789] * vX_[354];
+ vX_[6125] = vX_[6126] * vX_[367] + vX_[7025] * vX_[354];
+ vX_[6124] = vX_[6127] * vX_[354] + vX_[8790] * vX_[273];
+ vX_[6123] = 0 - vX_[6124];
+ vX_[5684] = vX_[6125] + vX_[6123] * vX_[355] + vX_[8797] * vX_[369];
+ vX_[5007] = vX_[6126] * vX_[354] + vX_[7025] * vX_[273];
+ vX_[1351] = vX_[5007] + vX_[6121] * vX_[355];
+ vX_[4739] = vX_[8799] * vX_[367] + vX_[6946] * vX_[354];
+ vX_[1451] = vX_[4739] + vX_[6124] * vX_[274] + vX_[8654] * vX_[369];
+ vX_[5451] = 0 - vX_[1351] + vX_[1451];
+ vX_[3740] = 0 - vX_[6158];
+ vX_[4558] = 0 - vX_[6141];
+ vX_[6118] = vX_[8654] * vX_[597] + vX_[6118] * vX_[543] + vX_[8797] * vX_[333] + vX_[6136] * vX_[370] +
+ vX_[8650] * vX_[381] + vX_[6116] * vX_[362] + vX_[5684] * vX_[356] + vX_[5451] * vX_[353] +
+ vX_[3740] * vX_[594] + vX_[6158] * vX_[591] + vX_[4558] * vX_[542] + vX_[8797] * vX_[546];
+ vX_[8654] = vX_[4296] * -3.44;
+ vX_[825] = vX_[4336] * 0.1466472;
+ vX_[5000] = vX_[4334] * -0.5824264;
+ vX_[2033] = 0 - vX_[8654] + vX_[825] - vX_[5000];
+ vX_[3702] = vX_[4320] * vX_[381] + vX_[4296] * vX_[356] + vX_[4329] * vX_[353] + vX_[4332] * vX_[591] +
+ vX_[4334] * vX_[540];
+ vX_[6156] = vX_[7962] * vX_[1375] + vX_[7856] * vX_[303] + vX_[2033] * vX_[1026] + vX_[6156] * vX_[1274] -
+ vX_[3702] * x_in[27];
+ vX_[1307] = vX_[5795] + vX_[4908] + vX_[4172] - vX_[6141] - vX_[8797];
+ vX_[3581] = 0 - vX_[1307];
+ vX_[6138] = vX_[6138] + vX_[3581] * vX_[355];
+ vX_[6165] = vX_[6165] + vX_[1307] * vX_[274];
+ vX_[5682] = 0 - vX_[8650];
+ vX_[5686] = 0 - vX_[5684];
+ vX_[2922] = vX_[4897] + vX_[4914] + vX_[8789] + vX_[7402] - vX_[5007] - vX_[4739];
+ vX_[1451] = vX_[2922] - vX_[1451];
+ vX_[5681] = 0 - vX_[6121];
+ vX_[3734] = 0 - vX_[6158];
+ vX_[5453] = 0 - vX_[8797];
+ vX_[3288] = vX_[5659] - vX_[4167];
+ vX_[3705] = vX_[4159] + vX_[5784];
+ vX_[3510] = vX_[3288] * vX_[354] + vX_[6593] * vX_[273];
+ vX_[4105] = vX_[3288] * vX_[367] + vX_[6593] * vX_[354];
+ vX_[4354] = vX_[4350] * 0.1104774 + vX_[4352] * 0.0004405 + vX_[4354] * 0.025941;
+ vX_[1999] = (0 - vX_[4339]) * -8.81e-05;
+ vX_[6144] = vX_[1999] + vX_[6144];
+ vX_[4358] = vX_[4339] * 0.0004405 + vX_[4350] * 8.81e-05 + vX_[4358] * 0.000468;
+ vX_[6144] = vX_[7397] * vX_[1309] + vX_[7959] * vX_[1455] + vX_[7395] * vX_[1465] + vX_[4354] * vX_[1342] +
+ vX_[6144] * vX_[1241] + vX_[6144] * vX_[1241] + vX_[4358] * x_in[29];
+ vX_[1999] = vX_[1999] + vX_[6169];
+ vX_[4356] = vX_[4339] * -0.1104774 + vX_[4352] * -8.81e-05 + vX_[4356] * 0.026409;
+ vX_[1999] = vX_[6533] * vX_[1309] + vX_[6149] * vX_[2058] + vX_[7396] * vX_[1465] + vX_[4354] * vX_[1241] +
+ vX_[1999] * vX_[1342] + vX_[1999] * vX_[1342] - vX_[4356] * x_in[29];
+ vX_[4354] = vX_[4341] * 0.47422804 + vX_[4342] * -0.0825825 + vX_[4349] * 0.081641 + (0 - vX_[4338]) * 2.1e-05 +
+ vX_[4347] * 0.000102;
+ vX_[6149] = (0 - vX_[4349]) * 0.007418;
+ vX_[8296] = vX_[8221] + vX_[6149] - vX_[8296];
+ vX_[8221] = vX_[4337] * vX_[297] + vX_[4341] * vX_[313] + vX_[4342] * vX_[302] + vX_[4338] * vX_[345] +
+ vX_[4347] * vX_[341];
+ vX_[8296] = vX_[7888] * -0.35 + vX_[6144] * vX_[277] + vX_[1999] * vX_[279] + vX_[7941] * vX_[1551] +
+ vX_[8305] * vX_[1116] + vX_[6381] * vX_[1109] + vX_[4354] * vX_[1616] + vX_[8296] * vX_[1547] +
+ vX_[8296] * vX_[1547] + vX_[8221] * x_in[28];
+ vX_[6149] = vX_[8146] - vX_[6149] - vX_[8223];
+ vX_[8223] = vX_[4337] * vX_[310] + vX_[4341] * vX_[314] + vX_[4342] * vX_[308] + vX_[4338] * vX_[339] +
+ vX_[4347] * vX_[345];
+ vX_[6149] = vX_[6144] * vX_[280] + vX_[1999] * vX_[277] + vX_[6197] * vX_[1551] + vX_[6157] * vX_[1460] +
+ vX_[8077] * vX_[1109] + vX_[4354] * vX_[1547] + vX_[6149] * vX_[1616] + vX_[6149] * vX_[1616] -
+ vX_[8223] * x_in[28];
+ vX_[5000] = vX_[8654] - vX_[825] + vX_[5000];
+ vX_[825] = vX_[4320] * 0.1466472 + vX_[4329] * -0.5824264 + vX_[4336] * -5.1e-05 + (0 - vX_[4332]) * -0.123672 +
+ (0 - vX_[4334]) * 3.6e-05;
+ vX_[8654] = vX_[4332] * 0.022734;
+ vX_[6241] = vX_[6130] - vX_[6241] - vX_[8654];
+ vX_[6130] = vX_[4320] * vX_[324] + vX_[4296] * vX_[591] + vX_[4329] * vX_[541] + vX_[4332] * vX_[539] +
+ vX_[4334] * vX_[593];
+ vX_[6241] = vX_[8296] * vX_[276] + vX_[6149] * vX_[303] + vX_[5000] * vX_[1767] + vX_[3969] * vX_[1777] +
+ vX_[825] * vX_[1026] + vX_[8330] * vX_[1274] + vX_[6241] * vX_[1130] + vX_[6241] * vX_[1130] -
+ vX_[6130] * x_in[27];
+ vX_[4385] = vX_[4385] * vX_[2050];
+ vX_[4386] = vX_[4386] * vX_[2050];
+ vX_[8330] = vX_[4385] * vX_[277] + vX_[4386] * vX_[279];
+ vX_[4387] = vX_[4387] * vX_[2050];
+ vX_[3969] = 0 - vX_[4387];
+ vX_[4357] = vX_[4357] * vX_[2045];
+ vX_[4354] = vX_[4357] * vX_[277];
+ vX_[6157] = vX_[4357] * vX_[279];
+ vX_[8077] = 0 - vX_[6157];
+ vX_[4373] = vX_[4373] * vX_[2057];
+ vX_[6197] = vX_[4373] * vX_[279];
+ vX_[4359] = vX_[4359] * vX_[2045];
+ vX_[8146] = vX_[4359] * vX_[277];
+ vX_[8305] = vX_[4359] * vX_[279];
+ vX_[6381] = 0 - vX_[4373];
+ vX_[7941] = vX_[6381] * vX_[277];
+ vX_[4374] = vX_[4374] * vX_[2057];
+ vX_[7888] = 0 - vX_[4374];
+ vX_[7396] = vX_[7888] * vX_[279];
+ vX_[6533] = vX_[4374] * vX_[277];
+ vX_[4361] = vX_[4361] * vX_[2047];
+ vX_[4352] = vX_[4385] + vX_[4361];
+ vX_[4362] = vX_[4362] * vX_[2047];
+ vX_[4339] = 0 - vX_[4386] - vX_[4362];
+ vX_[6169] = vX_[4352] * vX_[279] + vX_[4339] * vX_[277];
+ vX_[7959] = vX_[4361] * vX_[277] + vX_[4362] * vX_[279];
+ vX_[4379] = vX_[4379] * vX_[2057] + vX_[4367] * vX_[2045];
+ vX_[4367] = 0 - vX_[4379];
+ vX_[7395] = 0 - vX_[4379];
+ vX_[7397] = vX_[7395] * vX_[277];
+ vX_[4350] = vX_[4379] * vX_[279];
+ vX_[5259] = vX_[4380] * vX_[1520] + vX_[4514] * vX_[1470] + vX_[4517] * vX_[1504];
+ vX_[5450] = 0 - vX_[5259];
+ vX_[5741] = vX_[4380] * vX_[1606] + vX_[4514] * vX_[1505] + vX_[4517] * vX_[1464];
+ vX_[4984] = vX_[5450] * x_in[18] + vX_[5741] * x_in[19];
+ vX_[3512] = 0 - vX_[4984];
+ vX_[3508] = 0 - vX_[4984];
+ vX_[5678] = vX_[3508] * vX_[277];
+ vX_[5679] = vX_[4984] * vX_[1473];
+ vX_[4380] = vX_[4380] * vX_[1502] + vX_[4514] * vX_[1521] + vX_[4517] * vX_[1607];
+ jac[1032] = vX_[6168] * vX_[1000] + vX_[8307] * vX_[1460] + vX_[8223] * vX_[1149] + vX_[8221] * vX_[1547] +
+ vX_[6154] + vX_[4380] * vX_[1526] + vX_[5259] * vX_[1477] + vX_[5741] * vX_[1511];
+ jac[1068] = vX_[7942] * vX_[2052] + vX_[6150] * vX_[2058] + vX_[4356] * vX_[1609] + vX_[4358] * vX_[1241] +
+ vX_[6143] + vX_[4380] * vX_[1535] + vX_[5259] * vX_[1488] + vX_[5741] * vX_[1508];
+ vX_[4356] = vX_[4380] * x_in[29];
+ vX_[4358] = vX_[4356] * vX_[277];
+ vX_[7942] = vX_[4356] * vX_[1473];
+ vX_[6150] = vX_[4380] * x_in[28];
+ vX_[6143] = vX_[6150] * vX_[1473];
+ vX_[8223] = vX_[5259] * x_in[27];
+ vX_[8221] = vX_[6150] * vX_[277];
+ vX_[6168] = vX_[8223] * vX_[277];
+ vX_[8307] = vX_[8223] * vX_[1473];
+ vX_[6154] = vX_[4391] * vX_[1563];
+ vX_[4517] = 0 - vX_[6154];
+ vX_[4514] = 0 - vX_[6154];
+ vX_[5740] = vX_[4514] * vX_[277];
+ vX_[5715] = vX_[6154] * vX_[1473];
+ vX_[7532] = 0 - vX_[7532];
+ vX_[5714] = vX_[4105] + vX_[6537];
+ vX_[5720] = 0 - vX_[6138];
+ vX_[5721] = 0 - vX_[6165];
+ vX_[2922] = 0 - vX_[2922] + vX_[1351];
+ vX_[1351] = 0 - vX_[6124];
+ vX_[4351] = vX_[4351] * vX_[2045];
+ vX_[1572] = vX_[4351] * vX_[279];
+ vX_[4353] = vX_[4353] * vX_[2045];
+ vX_[1773] = vX_[4353] * vX_[277];
+ vX_[4355] = vX_[4355] * vX_[2045];
+ vX_[4372] = vX_[4372] * vX_[2057];
+ vX_[4388] = vX_[4388] * vX_[2050];
+ vX_[1875] = vX_[4388] * vX_[277];
+ vX_[2938] = vX_[4388] * vX_[279];
+ vX_[3035] = 0 - vX_[2938];
+ vX_[4377] = vX_[4377] * vX_[1435];
+ vX_[3033] = vX_[4377] * vX_[279];
+ vX_[4389] = vX_[4389] * vX_[2050];
+ vX_[3102] = vX_[4389] * vX_[277];
+ vX_[3175] = vX_[4389] * vX_[279];
+ vX_[5725] = 0 - vX_[4351] - vX_[4377];
+ vX_[4378] = vX_[4378] * vX_[1435];
+ vX_[5728] = 0 - vX_[4353] - vX_[4378];
+ vX_[3179] = vX_[5725] * vX_[277] + vX_[5728] * vX_[279];
+ vX_[3254] = vX_[4378] * vX_[277];
+ vX_[4375] = vX_[4375] * vX_[2057] + vX_[4366] * vX_[2050];
+ vX_[4366] = vX_[4375] * vX_[277];
+ vX_[5739] = 0 - vX_[5741];
+ vX_[5727] = vX_[4380] * x_in[18] + vX_[5739] * x_in[20];
+ vX_[5738] = vX_[5727] * vX_[1473];
+ vX_[3257] = vX_[4380] * x_in[27];
+ vX_[5701] = vX_[5259] * x_in[29];
+ vX_[3292] = 0 - vX_[5701];
+ vX_[5812] = vX_[3292] * vX_[277];
+ vX_[3317] = vX_[5701] * vX_[1473];
+ vX_[3711] = vX_[5259] * x_in[28];
+ vX_[5318] = 0 - vX_[3711];
+ vX_[5706] = vX_[3257] * vX_[277];
+ vX_[3305] = 0 - vX_[3711];
+ vX_[3303] = vX_[3305] * vX_[277];
+ vX_[5286] = vX_[3257] * vX_[1473];
+ vX_[5729] = vX_[3711] * vX_[1473];
+ vX_[3437] = vX_[4391] * vX_[1556];
+ vX_[5712] = vX_[5727] * vX_[277] + vX_[3437] * vX_[277];
+ vX_[5689] = vX_[4375] * vX_[279] + vX_[3437] * vX_[1473];
+ jac[348] =
+ 0 -
+ (vX_[4160] * vX_[1400] + vX_[4147] * vX_[1580] + vX_[3972] * vX_[711] + vX_[6593] * vX_[713] +
+ vX_[6547] * vX_[370] + vX_[6537] * vX_[693] + vX_[6559] * vX_[353] + vX_[6585] * vX_[677] +
+ vX_[7032] * vX_[378] + vX_[7402] * vX_[655] + vX_[7025] * vX_[654] + vX_[6946] * vX_[651] +
+ vX_[6573] * vX_[387] + vX_[7951] * vX_[601] + vX_[6599] * vX_[603] + vX_[8790] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[3945] * x_in[22] + vX_[8803] * x_in[19] +
+ (vX_[4152] * vX_[1400] + vX_[6118] * vX_[367] + vX_[3945] * x_in[20]) * 0.3735 -
+ (vX_[4162] * vX_[1279] + vX_[6156] * x_in[23]) + (vX_[4147] * vX_[1279] + vX_[6156] * x_in[19]) * 0.3735 +
+ (vX_[4178] * vX_[1279] + vX_[6120] * vX_[543] + vX_[6124] * vX_[597] + vX_[1307] * vX_[380] +
+ vX_[8765] * vX_[382] + vX_[6138] * vX_[353] + vX_[6165] * vX_[362] + vX_[5682] * vX_[365] +
+ vX_[5686] * vX_[381] + vX_[1451] * vX_[370] + vX_[5681] * vX_[541] + vX_[6124] * vX_[594] +
+ vX_[3734] * vX_[324] + vX_[5453] * vX_[548] + vX_[6156] * x_in[18]) *
+ 0.207 -
+ (vX_[4152] * vX_[1574] + vX_[3288] * vX_[710] + vX_[3705] * vX_[686] + vX_[3510] * vX_[353] +
+ vX_[4105] * vX_[694] + vX_[6583] * vX_[652] + vX_[6879] * vX_[388] + vX_[8789] * vX_[678] +
+ vX_[6126] * vX_[653] + vX_[8799] * vX_[596] + vX_[6153] * vX_[377] + vX_[6135] * vX_[600] +
+ vX_[6127] * vX_[630] + vX_[8340] * vX_[598] + vX_[8360] * vX_[549] + vX_[6118] * vX_[368] +
+ vX_[6241] * x_in[20]) +
+ vX_[4340] * vX_[2045] + vX_[4376] * vX_[1435] + vX_[8330] * vX_[275] + vX_[3969] * vX_[275] * 0.35 +
+ vX_[4387] * 0.3735 + vX_[4354] * 0.35 + vX_[4354] * vX_[303] * 0.08 + vX_[4354] * vX_[275] * -0.3735 +
+ vX_[8077] * vX_[303] * 0.3735 + vX_[6157] * vX_[275] * -0.08 + vX_[6197] * vX_[303] * -0.207 +
+ vX_[8146] * vX_[303] * 0.3735 + vX_[8146] * vX_[275] * 0.08 + vX_[8305] * 0.35 +
+ vX_[8305] * vX_[303] * 0.08 + vX_[8305] * vX_[275] * -0.3735 +
+ (vX_[7941] * vX_[275] + vX_[7396] * vX_[275]) * 0.207 + vX_[6533] * vX_[303] * 0.207 +
+ vX_[6169] * vX_[303] + vX_[7959] * vX_[275] + (0 - vX_[4379]) * 0.08 + vX_[4367] * vX_[303] * 0.35 +
+ vX_[7397] * vX_[303] * 0.33 + vX_[4350] * vX_[275] * 0.33 + (0 - vX_[4984]) * 0.08 +
+ vX_[3512] * vX_[303] * 0.35 + vX_[5678] * vX_[303] * 0.33 + vX_[5679] * vX_[275] * 0.33 +
+ vX_[4358] * vX_[275] * 0.33 + vX_[7942] * vX_[303] * 0.33 + vX_[6150] * vX_[275] * 0.35 +
+ vX_[6143] * vX_[303] * 0.33 + vX_[8223] * 0.08 + vX_[8223] * vX_[303] * 0.35 +
+ (vX_[8221] * vX_[275] + vX_[6168] * vX_[303]) * 0.33 + vX_[8307] * vX_[275] * -0.33 +
+ (0 - vX_[6154]) * 0.08 + vX_[4517] * vX_[303] * 0.35 + vX_[5740] * vX_[303] * 0.33 +
+ vX_[5715] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[4162] * vX_[1400] + vX_[4160] * vX_[1279] + vX_[4152] * vX_[1580] + vX_[4147] * vX_[1574] +
+ vX_[3288] * vX_[713] + vX_[3972] * vX_[709] + vX_[6593] * vX_[710] + vX_[3705] * vX_[370] +
+ vX_[7532] * vX_[686] + vX_[3510] * vX_[693] + vX_[5714] * vX_[353] + vX_[6559] * vX_[694] +
+ vX_[6585] * vX_[678] + vX_[6583] * vX_[655] + vX_[6879] * vX_[378] + vX_[7032] * vX_[388] +
+ vX_[8789] * vX_[677] + vX_[7402] * vX_[652] + vX_[6126] * vX_[654] + vX_[8799] * vX_[651] +
+ vX_[7025] * vX_[653] + vX_[6946] * vX_[596] + vX_[6153] * vX_[387] + vX_[6573] * vX_[377] +
+ vX_[6135] * vX_[603] + vX_[7951] * vX_[599] + vX_[6599] * vX_[600] + vX_[6127] * vX_[631] +
+ vX_[6308] * vX_[630] + vX_[8340] * vX_[545] + vX_[5705] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[6118] * vX_[366] +
+ (vX_[6121] * vX_[595] + vX_[6123] * vX_[333] + vX_[6158] * vX_[382] + vX_[3581] * vX_[357] +
+ vX_[6141] * vX_[371] + vX_[5720] * vX_[356] + vX_[6152] * vX_[365] + vX_[5721] * vX_[353] +
+ vX_[6117] * vX_[370] + vX_[2922] * vX_[381] + vX_[6121] * vX_[591] + vX_[1351] * vX_[540] +
+ vX_[6158] * vX_[386] + vX_[6141] * vX_[537]) *
+ 0.207 +
+ vX_[3945] * x_in[23] + vX_[6156] * x_in[22] + vX_[8803] * x_in[20] + vX_[6241] * x_in[19] +
+ (vX_[4147] * vX_[1400] + vX_[6118] * vX_[354] + vX_[3945] * x_in[19]) * -0.3735 +
+ (vX_[4178] * vX_[1400] + vX_[3945] * x_in[18]) * -0.207 +
+ (vX_[4152] * vX_[1279] + vX_[6156] * x_in[20]) * 0.3735 + vX_[4384] * vX_[2050] + vX_[4360] * vX_[2047] -
+ vX_[1572] * vX_[303] + vX_[1773] * vX_[303] + (0 - vX_[4355]) * 0.3735 + vX_[4355] * vX_[275] * 0.35 +
+ (0 - vX_[4372]) * 0.207 + vX_[1875] * 0.35 + vX_[1875] * vX_[303] * 0.08 + vX_[1875] * vX_[275] * -0.3735 +
+ vX_[3035] * vX_[303] * 0.3735 + (0 - vX_[2938] * vX_[275]) * 0.08 - vX_[3033] * vX_[303] +
+ vX_[3102] * vX_[303] * 0.3735 + vX_[3102] * vX_[275] * 0.08 + vX_[3175] * 0.35 +
+ vX_[3175] * vX_[303] * 0.08 + vX_[3175] * vX_[275] * -0.3735 + vX_[3179] * vX_[275] + vX_[3254] * vX_[303] +
+ vX_[4375] * 0.08 + vX_[4375] * vX_[303] * 0.35 + vX_[4366] * vX_[303] * 0.33 + vX_[5727] * 0.08 +
+ vX_[5727] * vX_[303] * 0.35 + vX_[5738] * vX_[275] * -0.33 + vX_[3257] * 0.08 +
+ vX_[3257] * vX_[303] * 0.35 + vX_[5812] * vX_[275] * 0.33 + vX_[3317] * vX_[303] * -0.33 +
+ vX_[5318] * vX_[275] * 0.35 + (vX_[5706] * vX_[303] + vX_[3303] * vX_[275]) * 0.33 +
+ (vX_[5286] * vX_[275] + vX_[5729] * vX_[303]) * -0.33 + vX_[3437] * 0.08 + vX_[3437] * vX_[303] * 0.35 +
+ vX_[5712] * vX_[303] * 0.33 + vX_[5689] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[4387] = vX_[4163] - vX_[4596];
+ vX_[3288] = vX_[4590] + vX_[4811];
+ vX_[3581] = vX_[4585] + vX_[3753];
+ vX_[1307] = 0 - vX_[3581];
+ vX_[6118] = vX_[4387] * vX_[273];
+ vX_[6123] = vX_[4387] * vX_[354];
+ vX_[6126] = vX_[4587] + vX_[4824];
+ vX_[6120] = vX_[2845] + vX_[2842];
+ vX_[6308] = vX_[4586] + vX_[4828];
+ vX_[6127] = vX_[4577] + vX_[4597];
+ vX_[8799] = vX_[6127] * vX_[354] + vX_[6308] * vX_[273];
+ vX_[8789] = vX_[6127] * vX_[367] + vX_[6308] * vX_[354];
+ vX_[8765] = vX_[4146] + vX_[2826];
+ vX_[6153] = 0 - (vX_[4584] + vX_[4595]) + vX_[8765];
+ vX_[5705] = vX_[2862] - vX_[4601];
+ vX_[8360] = vX_[4580] + vX_[4756];
+ vX_[8340] = vX_[2833] + vX_[2832];
+ vX_[6135] = 0 - vX_[8340];
+ vX_[560] = vX_[5705] * vX_[273];
+ vX_[9208] = vX_[5705] * vX_[354];
+ vX_[8790] = vX_[4781] * 0.881 + (0 - vX_[4783]) * 0.0004405 + vX_[4785] * -8.81e-05;
+ vX_[6599] = vX_[4779] * -0.881;
+ vX_[7951] = vX_[4783] * 0.1104774;
+ vX_[6573] = vX_[4787] * -8.81e-05;
+ vX_[6879] = vX_[6599] - vX_[7951] + vX_[6573];
+ vX_[6946] = vX_[8790] * vX_[1241] + vX_[6879] * vX_[1342];
+ vX_[7025] = vX_[4771] * 3.146 + (0 - vX_[4778]) * -0.0825825;
+ vX_[6583] = vX_[4770] * -3.146;
+ vX_[7402] = vX_[4778] * 0.47422804;
+ vX_[7032] = vX_[6583] - vX_[7402];
+ vX_[6585] = vX_[6946] + vX_[7025] * vX_[1547] + vX_[7032] * vX_[1616];
+ vX_[6593] = vX_[4758] * 3.44 + vX_[4761] * -0.5824264;
+ vX_[3972] = 0 - vX_[6593];
+ vX_[4384] = vX_[4749] * 3.44 + (0 - vX_[4761]) * 0.1466472;
+ vX_[4376] = vX_[4749] * vX_[370] + vX_[4725] * vX_[353] + vX_[4758] * vX_[362] + vX_[4761] * vX_[541] +
+ vX_[4763] * vX_[594];
+ vX_[4360] = vX_[6585] + vX_[3972] * vX_[1026] + vX_[4384] * vX_[1130] + vX_[4376] * x_in[27];
+ vX_[4340] = 0 - vX_[8790];
+ vX_[6573] = 0 - vX_[6599] + vX_[7951] - vX_[6573];
+ vX_[7951] = vX_[4768] * 0.0004405 + vX_[4779] * -8.81e-05 + vX_[4787] * -0.000227999999999999;
+ vX_[6599] = vX_[4768] * 0.1104774 + vX_[4781] * -8.81e-05 + (0 - vX_[4785]) * 0.025713;
+ vX_[3715] = (0 - vX_[4779]) * 0.0004405;
+ vX_[5724] = (0 - vX_[4781]) * 0.1104774;
+ vX_[5709] = vX_[3715] + vX_[5724];
+ vX_[5709] = vX_[4340] * vX_[2058] + vX_[6573] * vX_[1455] + vX_[7951] * vX_[1241] + vX_[6599] * vX_[1342] +
+ vX_[5709] * vX_[1465] + vX_[5709] * vX_[1465];
+ vX_[5711] = vX_[4768] * 0.881 + (0 - vX_[4785]) * 0.1104774 + vX_[4787] * 0.0004405;
+ vX_[5723] = vX_[4779] * 0.00185880198235362 + vX_[4781] * 0.880992588508842 + vX_[4785] * -8.81e-05;
+ vX_[4340] = vX_[4340] * vX_[1465] + vX_[5711] * vX_[1342] + vX_[5723] * x_in[29];
+ vX_[5707] = 0 - vX_[5711];
+ vX_[5736] = vX_[4779] * 0.414812462825713 + vX_[4781] * 0.00185880198235362 + vX_[4787] * 8.81e-05;
+ vX_[6573] = vX_[6573] * vX_[1465] + vX_[5707] * vX_[1241] - vX_[5736] * x_in[29];
+ vX_[5735] = 0 - vX_[7025];
+ vX_[7402] = 0 - vX_[6583] + vX_[7402];
+ vX_[6583] = vX_[4766] * -0.0825825 + (0 - vX_[4778]) * 0.000102 + vX_[4767] * 0.007418 + vX_[4776] * 0.002735;
+ vX_[3671] = vX_[4766] * 0.47422804 + vX_[4778] * 2.1e-05 + (0 - vX_[4767]) * 0.084376 + (0 - vX_[4776]) * 0.007418;
+ vX_[3346] = (0 - vX_[4770]) * -0.0825825;
+ vX_[3684] = (0 - vX_[4771]) * 0.47422804;
+ vX_[3701] = vX_[4767] * 0.000102;
+ vX_[5693] = (0 - vX_[4776]) * 2.1e-05;
+ vX_[5698] = vX_[3346] + vX_[3684] + vX_[3701] + vX_[5693];
+ vX_[5698] = vX_[5709] + vX_[4340] * vX_[1388] + vX_[6573] * vX_[282] + vX_[5735] * vX_[1460] +
+ vX_[7402] * vX_[1116] + vX_[6583] * vX_[1547] + vX_[3671] * vX_[1616] + vX_[5698] * vX_[1109] +
+ vX_[5698] * vX_[1109];
+ vX_[5692] = vX_[4766] * 3.146 + (0 - vX_[4767]) * 0.47422804 + vX_[4776] * -0.0825825;
+ vX_[5691] = vX_[4770] * vX_[330] + vX_[4771] * vX_[329] + vX_[4767] * vX_[308] + vX_[4776] * vX_[302];
+ vX_[5735] = vX_[4340] * vX_[277] + vX_[6573] * vX_[279] + vX_[5735] * vX_[1109] + vX_[5692] * vX_[1616] +
+ vX_[5691] * x_in[28];
+ vX_[5688] = 0 - vX_[5692];
+ vX_[5687] = vX_[4770] * vX_[328] + vX_[4771] * vX_[330] + vX_[4767] * vX_[314] + vX_[4776] * vX_[313];
+ vX_[7402] = vX_[4340] * vX_[1380] + vX_[6573] * vX_[277] + vX_[7402] * vX_[1109] + vX_[5688] * vX_[1547] -
+ vX_[5687] * x_in[28];
+ vX_[5697] = 0 - vX_[4384];
+ vX_[5696] = vX_[4725] * -0.5824264 + (0 - vX_[4765]) * 0.022734 + vX_[4761] * 3.6e-05 + vX_[4763] * -0.133138;
+ vX_[5695] = vX_[4725] * 0.1466472 + vX_[4765] * 0.009466 + (0 - vX_[4761]) * -5.1e-05 + vX_[4763] * 0.022734;
+ vX_[5694] = (0 - vX_[4749]) * -0.5824264;
+ vX_[5265] = (0 - vX_[4758]) * 0.1466472;
+ vX_[2666] = (0 - vX_[4765]) * 3.6e-05;
+ vX_[2609] = (0 - vX_[4763]) * -5.1e-05;
+ vX_[4566] = vX_[5694] + vX_[5265] + vX_[2666] - vX_[2609];
+ vX_[4988] = vX_[4749] * vX_[386] + vX_[4725] * vX_[540] + vX_[4758] * vX_[594] + vX_[4761] * vX_[593] +
+ vX_[4763] * vX_[350];
+ vX_[4566] = vX_[5698] + vX_[5735] * vX_[1376] + vX_[7402] * vX_[321] + vX_[6593] * vX_[1767] +
+ vX_[5697] * vX_[1126] + vX_[5696] * vX_[1026] + vX_[5695] * vX_[1130] + vX_[4566] * vX_[1274] +
+ vX_[4566] * vX_[1274] + vX_[4988] * x_in[27];
+ vX_[2911] = vX_[4170] - vX_[4601];
+ vX_[1998] = vX_[2911] * vX_[354] + vX_[8360] * vX_[273];
+ vX_[5032] = vX_[2911] * vX_[367] + vX_[8360] * vX_[354];
+ vX_[2812] = vX_[5032] + vX_[560];
+ vX_[4994] = vX_[1998] * vX_[367] + vX_[2812] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[4996] = 0 - vX_[4994];
+ vX_[2858] = vX_[4601] + vX_[1998] * vX_[354] + vX_[560] * vX_[273];
+ vX_[1346] = 0 - vX_[2858];
+ vX_[4991] = vX_[4601] + vX_[5032] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[1611] = vX_[4583] + vX_[4594] - vX_[6120];
+ vX_[5003] = vX_[8765] * vX_[354] + vX_[6120] * vX_[273];
+ vX_[1355] = 0 - (vX_[1611] * vX_[367] + vX_[6153] * vX_[354]) + vX_[5003];
+ vX_[2040] = vX_[1355] + vX_[2858] * vX_[355];
+ vX_[1656] = 0 - vX_[2040];
+ vX_[5267] = vX_[8765] * vX_[367] + vX_[6120] * vX_[354];
+ vX_[5034] = vX_[1611] * vX_[354] + vX_[6153] * vX_[273] + vX_[5267];
+ vX_[5002] = 0 - vX_[4991];
+ vX_[2091] = vX_[5034] + vX_[4994] * vX_[355] + vX_[5002] * vX_[274];
+ vX_[39] = vX_[4582] + vX_[4812];
+ vX_[4174] = vX_[6126] * vX_[354] + vX_[39] * vX_[367];
+ vX_[1687] = vX_[4174] * vX_[354] + vX_[8789] * vX_[273];
+ vX_[1665] = vX_[4560] + vX_[4433];
+ vX_[8340] = 0 - vX_[8340];
+ vX_[4998] = vX_[1665] * vX_[367] + vX_[8340] * vX_[354];
+ vX_[1663] = 0 - vX_[4998];
+ vX_[4109] = vX_[1687] + vX_[1663] * vX_[274] + vX_[1346] * vX_[369];
+ vX_[5322] = 0 - vX_[4109];
+ vX_[5260] = vX_[6126] * vX_[273] + vX_[39] * vX_[354];
+ vX_[5262] = vX_[5260] * vX_[367] + vX_[8799] * vX_[354];
+ vX_[5263] = vX_[1665] * vX_[354] + vX_[6135] * vX_[273];
+ vX_[4494] = 0 - vX_[5263];
+ vX_[4369] = vX_[5262] + vX_[4494] * vX_[355] + vX_[4991] * vX_[369];
+ vX_[5321] = vX_[5260] * vX_[354] + vX_[8799] * vX_[273];
+ vX_[5296] = vX_[5321] + vX_[4998] * vX_[355];
+ vX_[5295] = vX_[4174] * vX_[367] + vX_[8789] * vX_[354];
+ vX_[5301] = vX_[5295] + vX_[5263] * vX_[274] + vX_[4996] * vX_[369];
+ vX_[5302] = 0 - vX_[5296] + vX_[5301];
+ vX_[3837] = 0 - vX_[4994];
+ vX_[3831] = 0 - vX_[2858];
+ vX_[1346] = vX_[4996] * vX_[597] + vX_[1346] * vX_[543] + vX_[4991] * vX_[333] + vX_[1656] * vX_[370] +
+ vX_[2091] * vX_[381] + vX_[5322] * vX_[362] + vX_[4369] * vX_[356] + vX_[5302] * vX_[353] +
+ vX_[3837] * vX_[594] + vX_[4994] * vX_[591] + vX_[3831] * vX_[542] + vX_[4991] * vX_[546];
+ vX_[4996] = vX_[4725] * -3.44;
+ vX_[3906] = vX_[4765] * 0.1466472;
+ vX_[3979] = vX_[4763] * -0.5824264;
+ vX_[3981] = 0 - vX_[4996] + vX_[3906] - vX_[3979];
+ vX_[4056] = vX_[4749] * vX_[381] + vX_[4725] * vX_[356] + vX_[4758] * vX_[353] + vX_[4761] * vX_[591] +
+ vX_[4763] * vX_[540];
+ vX_[5697] = vX_[5735] * vX_[1375] + vX_[7402] * vX_[303] + vX_[3981] * vX_[1026] + vX_[5697] * vX_[1274] -
+ vX_[4056] * x_in[27];
+ vX_[4065] = vX_[4170] + vX_[2862] + vX_[4601] - vX_[2858] - vX_[4991];
+ vX_[4073] = 0 - vX_[4065];
+ vX_[5003] = vX_[5003] + vX_[4073] * vX_[355];
+ vX_[5267] = vX_[5267] + vX_[4065] * vX_[274];
+ vX_[5306] = 0 - vX_[2091];
+ vX_[5309] = 0 - vX_[4369];
+ vX_[4027] = vX_[2841] + vX_[2837] + vX_[39] + vX_[6308] - vX_[5321] - vX_[5295];
+ vX_[5301] = vX_[4027] - vX_[5301];
+ vX_[4076] = 0 - vX_[4998];
+ vX_[5320] = 0 - vX_[4994];
+ vX_[5308] = 0 - vX_[4991];
+ vX_[5319] = vX_[4751] - vX_[4596];
+ vX_[4107] = vX_[4588] + vX_[4034];
+ vX_[5282] = vX_[5319] * vX_[354] + vX_[3288] * vX_[273];
+ vX_[4101] = vX_[5319] * vX_[367] + vX_[3288] * vX_[354];
+ vX_[4783] = vX_[4779] * 0.1104774 + vX_[4781] * 0.0004405 + vX_[4783] * 0.025941;
+ vX_[5393] = (0 - vX_[4768]) * -8.81e-05;
+ vX_[5724] = vX_[5393] + vX_[5724];
+ vX_[4787] = vX_[4768] * 0.0004405 + vX_[4779] * 8.81e-05 + vX_[4787] * 0.000468;
+ vX_[5724] = vX_[8790] * vX_[1309] + vX_[5707] * vX_[1455] + vX_[7951] * vX_[1465] + vX_[4783] * vX_[1342] +
+ vX_[5724] * vX_[1241] + vX_[5724] * vX_[1241] + vX_[4787] * x_in[29];
+ vX_[5393] = vX_[5393] + vX_[3715];
+ vX_[4785] = vX_[4768] * -0.1104774 + vX_[4781] * -8.81e-05 + vX_[4785] * 0.026409;
+ vX_[5393] = vX_[6879] * vX_[1309] + vX_[5711] * vX_[2058] + vX_[6599] * vX_[1465] + vX_[4783] * vX_[1241] +
+ vX_[5393] * vX_[1342] + vX_[5393] * vX_[1342] - vX_[4785] * x_in[29];
+ vX_[4783] = vX_[4770] * 0.47422804 + vX_[4771] * -0.0825825 + vX_[4778] * 0.081641 + (0 - vX_[4767]) * 2.1e-05 +
+ vX_[4776] * 0.000102;
+ vX_[5711] = (0 - vX_[4778]) * 0.007418;
+ vX_[5693] = vX_[3684] + vX_[5711] - vX_[5693];
+ vX_[3684] = vX_[4766] * vX_[297] + vX_[4770] * vX_[313] + vX_[4771] * vX_[302] + vX_[4767] * vX_[345] +
+ vX_[4776] * vX_[341];
+ vX_[5693] = vX_[6946] * -0.35 + vX_[5724] * vX_[277] + vX_[5393] * vX_[279] + vX_[7025] * vX_[1551] +
+ vX_[5688] * vX_[1116] + vX_[6583] * vX_[1109] + vX_[4783] * vX_[1616] + vX_[5693] * vX_[1547] +
+ vX_[5693] * vX_[1547] + vX_[3684] * x_in[28];
+ vX_[5711] = vX_[3346] - vX_[5711] - vX_[3701];
+ vX_[3701] = vX_[4766] * vX_[310] + vX_[4770] * vX_[314] + vX_[4771] * vX_[308] + vX_[4767] * vX_[339] +
+ vX_[4776] * vX_[345];
+ vX_[5711] = vX_[5724] * vX_[280] + vX_[5393] * vX_[277] + vX_[7032] * vX_[1551] + vX_[5692] * vX_[1460] +
+ vX_[3671] * vX_[1109] + vX_[4783] * vX_[1547] + vX_[5711] * vX_[1616] + vX_[5711] * vX_[1616] -
+ vX_[3701] * x_in[28];
+ vX_[3979] = vX_[4996] - vX_[3906] + vX_[3979];
+ vX_[3906] = vX_[4749] * 0.1466472 + vX_[4758] * -0.5824264 + vX_[4765] * -5.1e-05 + (0 - vX_[4761]) * -0.123672 +
+ (0 - vX_[4763]) * 3.6e-05;
+ vX_[4996] = vX_[4761] * 0.022734;
+ vX_[2666] = vX_[5694] - vX_[2666] - vX_[4996];
+ vX_[5694] = vX_[4749] * vX_[324] + vX_[4725] * vX_[591] + vX_[4758] * vX_[541] + vX_[4761] * vX_[539] +
+ vX_[4763] * vX_[593];
+ vX_[2666] = vX_[5693] * vX_[276] + vX_[5711] * vX_[303] + vX_[3979] * vX_[1767] + vX_[4384] * vX_[1777] +
+ vX_[3906] * vX_[1026] + vX_[5695] * vX_[1274] + vX_[2666] * vX_[1130] + vX_[2666] * vX_[1130] -
+ vX_[5694] * x_in[27];
+ vX_[4814] = vX_[4814] * vX_[2050];
+ vX_[4815] = vX_[4815] * vX_[2050];
+ vX_[5695] = vX_[4814] * vX_[277] + vX_[4815] * vX_[279];
+ vX_[4816] = vX_[4816] * vX_[2050];
+ vX_[4384] = 0 - vX_[4816];
+ vX_[4786] = vX_[4786] * vX_[2045];
+ vX_[4783] = vX_[4786] * vX_[277];
+ vX_[5692] = vX_[4786] * vX_[279];
+ vX_[3671] = 0 - vX_[5692];
+ vX_[4802] = vX_[4802] * vX_[2057];
+ vX_[7032] = vX_[4802] * vX_[279];
+ vX_[4788] = vX_[4788] * vX_[2045];
+ vX_[3346] = vX_[4788] * vX_[277];
+ vX_[5688] = vX_[4788] * vX_[279];
+ vX_[6583] = 0 - vX_[4802];
+ vX_[7025] = vX_[6583] * vX_[277];
+ vX_[4803] = vX_[4803] * vX_[2057];
+ vX_[6946] = 0 - vX_[4803];
+ vX_[6599] = vX_[6946] * vX_[279];
+ vX_[6879] = vX_[4803] * vX_[277];
+ vX_[4790] = vX_[4790] * vX_[2047];
+ vX_[4781] = vX_[4814] + vX_[4790];
+ vX_[4791] = vX_[4791] * vX_[2047];
+ vX_[4768] = 0 - vX_[4815] - vX_[4791];
+ vX_[3715] = vX_[4781] * vX_[279] + vX_[4768] * vX_[277];
+ vX_[5707] = vX_[4790] * vX_[277] + vX_[4791] * vX_[279];
+ vX_[4808] = vX_[4808] * vX_[2057] + vX_[4796] * vX_[2045];
+ vX_[4796] = 0 - vX_[4808];
+ vX_[7951] = 0 - vX_[4808];
+ vX_[8790] = vX_[7951] * vX_[277];
+ vX_[4779] = vX_[4808] * vX_[279];
+ vX_[1928] = vX_[4809] * vX_[1520] + vX_[4943] * vX_[1470] + vX_[4946] * vX_[1504];
+ vX_[1044] = 0 - vX_[1928];
+ vX_[4889] = vX_[4809] * vX_[1606] + vX_[4943] * vX_[1505] + vX_[4946] * vX_[1464];
+ vX_[5287] = vX_[1044] * x_in[18] + vX_[4889] * x_in[19];
+ vX_[4126] = 0 - vX_[5287];
+ vX_[4136] = 0 - vX_[5287];
+ vX_[4857] = vX_[4136] * vX_[277];
+ vX_[5310] = vX_[5287] * vX_[1473];
+ vX_[4809] = vX_[4809] * vX_[1502] + vX_[4943] * vX_[1521] + vX_[4946] * vX_[1607];
+ jac[1033] = vX_[5687] * vX_[1000] + vX_[5691] * vX_[1460] + vX_[3701] * vX_[1149] + vX_[3684] * vX_[1547] +
+ vX_[5698] + vX_[4809] * vX_[1526] + vX_[1928] * vX_[1477] + vX_[4889] * vX_[1511];
+ jac[1069] = vX_[5736] * vX_[2052] + vX_[5723] * vX_[2058] + vX_[4785] * vX_[1609] + vX_[4787] * vX_[1241] +
+ vX_[5709] + vX_[4809] * vX_[1535] + vX_[1928] * vX_[1488] + vX_[4889] * vX_[1508];
+ vX_[4785] = vX_[4809] * x_in[29];
+ vX_[4787] = vX_[4785] * vX_[277];
+ vX_[5736] = vX_[4785] * vX_[1473];
+ vX_[5723] = vX_[4809] * x_in[28];
+ vX_[5709] = vX_[5723] * vX_[1473];
+ vX_[3701] = vX_[1928] * x_in[27];
+ vX_[3684] = vX_[5723] * vX_[277];
+ vX_[5687] = vX_[3701] * vX_[277];
+ vX_[5691] = vX_[3701] * vX_[1473];
+ vX_[5698] = vX_[4820] * vX_[1563];
+ vX_[4946] = 0 - vX_[5698];
+ vX_[4943] = 0 - vX_[5698];
+ vX_[2] = vX_[4943] * vX_[277];
+ vX_[5293] = vX_[5698] * vX_[1473];
+ vX_[3581] = 0 - vX_[3581];
+ vX_[5270] = vX_[4101] + vX_[6118];
+ vX_[1299] = 0 - vX_[5003];
+ vX_[5305] = 0 - vX_[5267];
+ vX_[4027] = 0 - vX_[4027] + vX_[5296];
+ vX_[5296] = 0 - vX_[5263];
+ vX_[4780] = vX_[4780] * vX_[2045];
+ vX_[5290] = vX_[4780] * vX_[279];
+ vX_[4782] = vX_[4782] * vX_[2045];
+ vX_[5292] = vX_[4782] * vX_[277];
+ vX_[4784] = vX_[4784] * vX_[2045];
+ vX_[4801] = vX_[4801] * vX_[2057];
+ vX_[4817] = vX_[4817] * vX_[2050];
+ vX_[5304] = vX_[4817] * vX_[277];
+ vX_[5288] = vX_[4817] * vX_[279];
+ vX_[5317] = 0 - vX_[5288];
+ vX_[4806] = vX_[4806] * vX_[1435];
+ vX_[5316] = vX_[4806] * vX_[279];
+ vX_[4818] = vX_[4818] * vX_[2050];
+ vX_[24] = vX_[4818] * vX_[277];
+ vX_[1142] = vX_[4818] * vX_[279];
+ vX_[989] = 0 - vX_[4780] - vX_[4806];
+ vX_[4807] = vX_[4807] * vX_[1435];
+ vX_[1035] = 0 - vX_[4782] - vX_[4807];
+ vX_[5274] = vX_[989] * vX_[277] + vX_[1035] * vX_[279];
+ vX_[5279] = vX_[4807] * vX_[277];
+ vX_[4804] = vX_[4804] * vX_[2057] + vX_[4795] * vX_[2050];
+ vX_[4795] = vX_[4804] * vX_[277];
+ vX_[5273] = 0 - vX_[4889];
+ vX_[5272] = vX_[4809] * x_in[18] + vX_[5273] * x_in[20];
+ vX_[5269] = vX_[5272] * vX_[1473];
+ vX_[5268] = vX_[4809] * x_in[27];
+ vX_[2937] = vX_[1928] * x_in[29];
+ vX_[5280] = 0 - vX_[2937];
+ vX_[5278] = vX_[5280] * vX_[277];
+ vX_[5277] = vX_[2937] * vX_[1473];
+ vX_[5276] = vX_[1928] * x_in[28];
+ vX_[5275] = 0 - vX_[5276];
+ vX_[5001] = vX_[5268] * vX_[277];
+ vX_[4985] = 0 - vX_[5276];
+ vX_[4986] = vX_[4985] * vX_[277];
+ vX_[4851] = vX_[5268] * vX_[1473];
+ vX_[4578] = vX_[5276] * vX_[1473];
+ vX_[2479] = vX_[4820] * vX_[1556];
+ vX_[4562] = vX_[5272] * vX_[277] + vX_[2479] * vX_[277];
+ vX_[4836] = vX_[4804] * vX_[279] + vX_[2479] * vX_[1473];
+ jac[349] =
+ 0 -
+ (vX_[4589] * vX_[1400] + vX_[4576] * vX_[1580] + vX_[4387] * vX_[711] + vX_[3288] * vX_[713] +
+ vX_[1307] * vX_[370] + vX_[6118] * vX_[693] + vX_[6123] * vX_[353] + vX_[6126] * vX_[677] +
+ vX_[6120] * vX_[378] + vX_[6308] * vX_[655] + vX_[8799] * vX_[654] + vX_[8789] * vX_[651] +
+ vX_[6153] * vX_[387] + vX_[5705] * vX_[601] + vX_[8360] * vX_[603] + vX_[6135] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[4360] * x_in[22] + vX_[4566] * x_in[19] +
+ (vX_[4581] * vX_[1400] + vX_[1346] * vX_[367] + vX_[4360] * x_in[20]) * 0.3735 -
+ (vX_[4591] * vX_[1279] + vX_[5697] * x_in[23]) + (vX_[4576] * vX_[1279] + vX_[5697] * x_in[19]) * 0.3735 +
+ (vX_[4607] * vX_[1279] + vX_[1663] * vX_[543] + vX_[5263] * vX_[597] + vX_[4065] * vX_[380] +
+ vX_[5002] * vX_[382] + vX_[5003] * vX_[353] + vX_[5267] * vX_[362] + vX_[5306] * vX_[365] +
+ vX_[5309] * vX_[381] + vX_[5301] * vX_[370] + vX_[4076] * vX_[541] + vX_[5263] * vX_[594] +
+ vX_[5320] * vX_[324] + vX_[5308] * vX_[548] + vX_[5697] * x_in[18]) *
+ 0.207 -
+ (vX_[4581] * vX_[1574] + vX_[5319] * vX_[710] + vX_[4107] * vX_[686] + vX_[5282] * vX_[353] +
+ vX_[4101] * vX_[694] + vX_[6127] * vX_[652] + vX_[8765] * vX_[388] + vX_[39] * vX_[678] +
+ vX_[5260] * vX_[653] + vX_[4174] * vX_[596] + vX_[1611] * vX_[377] + vX_[2911] * vX_[600] +
+ vX_[1665] * vX_[630] + vX_[1998] * vX_[598] + vX_[5032] * vX_[549] + vX_[1346] * vX_[368] +
+ vX_[2666] * x_in[20]) +
+ vX_[4769] * vX_[2045] + vX_[4805] * vX_[1435] + vX_[5695] * vX_[275] + vX_[4384] * vX_[275] * 0.35 +
+ vX_[4816] * 0.3735 + vX_[4783] * 0.35 + vX_[4783] * vX_[303] * 0.08 + vX_[4783] * vX_[275] * -0.3735 +
+ vX_[3671] * vX_[303] * 0.3735 + vX_[5692] * vX_[275] * -0.08 + vX_[7032] * vX_[303] * -0.207 +
+ vX_[3346] * vX_[303] * 0.3735 + vX_[3346] * vX_[275] * 0.08 + vX_[5688] * 0.35 +
+ vX_[5688] * vX_[303] * 0.08 + vX_[5688] * vX_[275] * -0.3735 +
+ (vX_[7025] * vX_[275] + vX_[6599] * vX_[275]) * 0.207 + vX_[6879] * vX_[303] * 0.207 +
+ vX_[3715] * vX_[303] + vX_[5707] * vX_[275] + (0 - vX_[4808]) * 0.08 + vX_[4796] * vX_[303] * 0.35 +
+ vX_[8790] * vX_[303] * 0.33 + vX_[4779] * vX_[275] * 0.33 + (0 - vX_[5287]) * 0.08 +
+ vX_[4126] * vX_[303] * 0.35 + vX_[4857] * vX_[303] * 0.33 + vX_[5310] * vX_[275] * 0.33 +
+ vX_[4787] * vX_[275] * 0.33 + vX_[5736] * vX_[303] * 0.33 + vX_[5723] * vX_[275] * 0.35 +
+ vX_[5709] * vX_[303] * 0.33 + vX_[3701] * 0.08 + vX_[3701] * vX_[303] * 0.35 +
+ (vX_[3684] * vX_[275] + vX_[5687] * vX_[303]) * 0.33 + vX_[5691] * vX_[275] * -0.33 +
+ (0 - vX_[5698]) * 0.08 + vX_[4946] * vX_[303] * 0.35 + vX_[2] * vX_[303] * 0.33 +
+ vX_[5293] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[4591] * vX_[1400] + vX_[4589] * vX_[1279] + vX_[4581] * vX_[1580] + vX_[4576] * vX_[1574] +
+ vX_[5319] * vX_[713] + vX_[4387] * vX_[709] + vX_[3288] * vX_[710] + vX_[4107] * vX_[370] +
+ vX_[3581] * vX_[686] + vX_[5282] * vX_[693] + vX_[5270] * vX_[353] + vX_[6123] * vX_[694] +
+ vX_[6126] * vX_[678] + vX_[6127] * vX_[655] + vX_[8765] * vX_[378] + vX_[6120] * vX_[388] +
+ vX_[39] * vX_[677] + vX_[6308] * vX_[652] + vX_[5260] * vX_[654] + vX_[4174] * vX_[651] +
+ vX_[8799] * vX_[653] + vX_[8789] * vX_[596] + vX_[1611] * vX_[387] + vX_[6153] * vX_[377] +
+ vX_[2911] * vX_[603] + vX_[5705] * vX_[599] + vX_[8360] * vX_[600] + vX_[1665] * vX_[631] +
+ vX_[8340] * vX_[630] + vX_[1998] * vX_[545] + vX_[2812] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[1346] * vX_[366] +
+ (vX_[4998] * vX_[595] + vX_[4494] * vX_[333] + vX_[4994] * vX_[382] + vX_[4073] * vX_[357] +
+ vX_[2858] * vX_[371] + vX_[1299] * vX_[356] + vX_[2040] * vX_[365] + vX_[5305] * vX_[353] +
+ vX_[4109] * vX_[370] + vX_[4027] * vX_[381] + vX_[4998] * vX_[591] + vX_[5296] * vX_[540] +
+ vX_[4994] * vX_[386] + vX_[2858] * vX_[537]) *
+ 0.207 +
+ vX_[4360] * x_in[23] + vX_[5697] * x_in[22] + vX_[4566] * x_in[20] + vX_[2666] * x_in[19] +
+ (vX_[4576] * vX_[1400] + vX_[1346] * vX_[354] + vX_[4360] * x_in[19]) * -0.3735 +
+ (vX_[4607] * vX_[1400] + vX_[4360] * x_in[18]) * -0.207 +
+ (vX_[4581] * vX_[1279] + vX_[5697] * x_in[20]) * 0.3735 + vX_[4813] * vX_[2050] + vX_[4789] * vX_[2047] -
+ vX_[5290] * vX_[303] + vX_[5292] * vX_[303] + (0 - vX_[4784]) * 0.3735 + vX_[4784] * vX_[275] * 0.35 +
+ (0 - vX_[4801]) * 0.207 + vX_[5304] * 0.35 + vX_[5304] * vX_[303] * 0.08 + vX_[5304] * vX_[275] * -0.3735 +
+ vX_[5317] * vX_[303] * 0.3735 + (0 - vX_[5288] * vX_[275]) * 0.08 - vX_[5316] * vX_[303] +
+ vX_[24] * vX_[303] * 0.3735 + vX_[24] * vX_[275] * 0.08 + vX_[1142] * 0.35 + vX_[1142] * vX_[303] * 0.08 +
+ vX_[1142] * vX_[275] * -0.3735 + vX_[5274] * vX_[275] + vX_[5279] * vX_[303] + vX_[4804] * 0.08 +
+ vX_[4804] * vX_[303] * 0.35 + vX_[4795] * vX_[303] * 0.33 + vX_[5272] * 0.08 + vX_[5272] * vX_[303] * 0.35 +
+ vX_[5269] * vX_[275] * -0.33 + vX_[5268] * 0.08 + vX_[5268] * vX_[303] * 0.35 +
+ vX_[5278] * vX_[275] * 0.33 + vX_[5277] * vX_[303] * -0.33 + vX_[5275] * vX_[275] * 0.35 +
+ (vX_[5001] * vX_[303] + vX_[4986] * vX_[275]) * 0.33 +
+ (vX_[4851] * vX_[275] + vX_[4578] * vX_[303]) * -0.33 + vX_[2479] * 0.08 + vX_[2479] * vX_[303] * 0.35 +
+ vX_[4562] * vX_[303] * 0.33 + vX_[4836] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[4816] = vX_[4592] - vX_[5025];
+ vX_[5319] = vX_[5019] + vX_[2737];
+ vX_[4073] = vX_[5014] + vX_[4899];
+ vX_[4065] = 0 - vX_[4073];
+ vX_[1346] = vX_[4816] * vX_[273];
+ vX_[4494] = vX_[4816] * vX_[354];
+ vX_[5260] = vX_[5016] + vX_[2828];
+ vX_[1663] = vX_[2036] + vX_[2008];
+ vX_[8340] = vX_[5015] + vX_[2751];
+ vX_[1665] = vX_[5006] + vX_[5026];
+ vX_[4174] = vX_[1665] * vX_[354] + vX_[8340] * vX_[273];
+ vX_[39] = vX_[1665] * vX_[367] + vX_[8340] * vX_[354];
+ vX_[5002] = vX_[4575] + vX_[2030];
+ vX_[1611] = 0 - (vX_[5013] + vX_[5024]) + vX_[5002];
+ vX_[2812] = vX_[2037] - vX_[5030];
+ vX_[5032] = vX_[5009] + vX_[2739];
+ vX_[1998] = vX_[1967] + vX_[2009];
+ vX_[2911] = 0 - vX_[1998];
+ vX_[9208] = vX_[2812] * vX_[273];
+ vX_[560] = vX_[2812] * vX_[354];
+ vX_[6135] = vX_[5210] * 0.881 + (0 - vX_[5212]) * 0.0004405 + vX_[5214] * -8.81e-05;
+ vX_[8360] = vX_[5208] * -0.881;
+ vX_[5705] = vX_[5212] * 0.1104774;
+ vX_[6153] = vX_[5216] * -8.81e-05;
+ vX_[8765] = vX_[8360] - vX_[5705] + vX_[6153];
+ vX_[8789] = vX_[6135] * vX_[1241] + vX_[8765] * vX_[1342];
+ vX_[8799] = vX_[5200] * 3.146 + (0 - vX_[5207]) * -0.0825825;
+ vX_[6127] = vX_[5199] * -3.146;
+ vX_[6308] = vX_[5207] * 0.47422804;
+ vX_[6120] = vX_[6127] - vX_[6308];
+ vX_[6126] = vX_[8789] + vX_[8799] * vX_[1547] + vX_[6120] * vX_[1616];
+ vX_[3288] = vX_[5187] * 3.44 + vX_[5190] * -0.5824264;
+ vX_[4387] = 0 - vX_[3288];
+ vX_[4813] = vX_[5178] * 3.44 + (0 - vX_[5190]) * 0.1466472;
+ vX_[4805] = vX_[5178] * vX_[370] + vX_[5154] * vX_[353] + vX_[5187] * vX_[362] + vX_[5190] * vX_[541] +
+ vX_[5192] * vX_[594];
+ vX_[4789] = vX_[6126] + vX_[4387] * vX_[1026] + vX_[4813] * vX_[1130] + vX_[4805] * x_in[27];
+ vX_[4769] = 0 - vX_[6135];
+ vX_[6153] = 0 - vX_[8360] + vX_[5705] - vX_[6153];
+ vX_[5705] = vX_[5197] * 0.0004405 + vX_[5208] * -8.81e-05 + vX_[5216] * -0.000227999999999999;
+ vX_[8360] = vX_[5197] * 0.1104774 + vX_[5210] * -8.81e-05 + (0 - vX_[5214]) * 0.025713;
+ vX_[4542] = (0 - vX_[5208]) * 0.0004405;
+ vX_[5779] = (0 - vX_[5210]) * 0.1104774;
+ vX_[4556] = vX_[4542] + vX_[5779];
+ vX_[4556] = vX_[4769] * vX_[2058] + vX_[6153] * vX_[1455] + vX_[5705] * vX_[1241] + vX_[8360] * vX_[1342] +
+ vX_[4556] * vX_[1465] + vX_[4556] * vX_[1465];
+ vX_[2605] = vX_[5197] * 0.881 + (0 - vX_[5214]) * 0.1104774 + vX_[5216] * 0.0004405;
+ vX_[2811] = vX_[5208] * 0.00185880198235362 + vX_[5210] * 0.880992588508842 + vX_[5214] * -8.81e-05;
+ vX_[4769] = vX_[4769] * vX_[1465] + vX_[2605] * vX_[1342] + vX_[2811] * x_in[29];
+ vX_[4603] = 0 - vX_[2605];
+ vX_[4564] = vX_[5208] * 0.414812462825713 + vX_[5210] * 0.00185880198235362 + vX_[5216] * 8.81e-05;
+ vX_[6153] = vX_[6153] * vX_[1465] + vX_[4603] * vX_[1241] - vX_[4564] * x_in[29];
+ vX_[4724] = 0 - vX_[8799];
+ vX_[6308] = 0 - vX_[6127] + vX_[6308];
+ vX_[6127] = vX_[5195] * -0.0825825 + (0 - vX_[5207]) * 0.000102 + vX_[5196] * 0.007418 + vX_[5205] * 0.002735;
+ vX_[439] = vX_[5195] * 0.47422804 + vX_[5207] * 2.1e-05 + (0 - vX_[5196]) * 0.084376 + (0 - vX_[5205]) * 0.007418;
+ vX_[4935] = (0 - vX_[5199]) * -0.0825825;
+ vX_[1686] = (0 - vX_[5200]) * 0.47422804;
+ vX_[4568] = vX_[5196] * 0.000102;
+ vX_[2665] = (0 - vX_[5205]) * 2.1e-05;
+ vX_[4574] = vX_[4935] + vX_[1686] + vX_[4568] + vX_[2665];
+ vX_[4574] = vX_[4556] + vX_[4769] * vX_[1388] + vX_[6153] * vX_[282] + vX_[4724] * vX_[1460] +
+ vX_[6308] * vX_[1116] + vX_[6127] * vX_[1547] + vX_[439] * vX_[1616] + vX_[4574] * vX_[1109] +
+ vX_[4574] * vX_[1109];
+ vX_[2610] = vX_[5195] * 3.146 + (0 - vX_[5196]) * 0.47422804 + vX_[5205] * -0.0825825;
+ vX_[4798] = vX_[5199] * vX_[330] + vX_[5200] * vX_[329] + vX_[5196] * vX_[308] + vX_[5205] * vX_[302];
+ vX_[4724] = vX_[4769] * vX_[277] + vX_[6153] * vX_[279] + vX_[4724] * vX_[1109] + vX_[2610] * vX_[1616] +
+ vX_[4798] * x_in[28];
+ vX_[2678] = 0 - vX_[2610];
+ vX_[4838] = vX_[5199] * vX_[328] + vX_[5200] * vX_[330] + vX_[5196] * vX_[314] + vX_[5205] * vX_[313];
+ vX_[6308] = vX_[4769] * vX_[1380] + vX_[6153] * vX_[277] + vX_[6308] * vX_[1109] + vX_[2678] * vX_[1547] -
+ vX_[4838] * x_in[28];
+ vX_[4605] = 0 - vX_[4813];
+ vX_[4572] = vX_[5154] * -0.5824264 + (0 - vX_[5194]) * 0.022734 + vX_[5190] * 3.6e-05 + vX_[5192] * -0.133138;
+ vX_[2483] = vX_[5154] * 0.1466472 + vX_[5194] * 0.009466 + (0 - vX_[5190]) * -5.1e-05 + vX_[5192] * 0.022734;
+ vX_[2460] = (0 - vX_[5178]) * -0.5824264;
+ vX_[4144] = (0 - vX_[5187]) * 0.1466472;
+ vX_[2456] = (0 - vX_[5194]) * 3.6e-05;
+ vX_[2467] = (0 - vX_[5192]) * -5.1e-05;
+ vX_[2683] = vX_[2460] + vX_[4144] + vX_[2456] - vX_[2467];
+ vX_[4893] = vX_[5178] * vX_[386] + vX_[5154] * vX_[540] + vX_[5187] * vX_[594] + vX_[5190] * vX_[593] +
+ vX_[5192] * vX_[350];
+ vX_[2683] = vX_[4574] + vX_[4724] * vX_[1376] + vX_[6308] * vX_[321] + vX_[3288] * vX_[1767] +
+ vX_[4605] * vX_[1126] + vX_[4572] * vX_[1026] + vX_[2483] * vX_[1130] + vX_[2683] * vX_[1274] +
+ vX_[2683] * vX_[1274] + vX_[4893] * x_in[27];
+ vX_[4570] = vX_[4599] - vX_[5030];
+ vX_[4830] = vX_[4570] * vX_[354] + vX_[5032] * vX_[273];
+ vX_[4831] = vX_[4570] * vX_[367] + vX_[5032] * vX_[354];
+ vX_[4833] = vX_[4831] + vX_[9208];
+ vX_[4834] = vX_[4830] * vX_[367] + vX_[4833] * vX_[354] + vX_[560] * vX_[273];
+ vX_[4892] = 0 - vX_[4834];
+ vX_[4867] = vX_[5030] + vX_[4830] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[4866] = 0 - vX_[4867];
+ vX_[4872] = vX_[5030] + vX_[4831] * vX_[367] + vX_[560] * vX_[354];
+ vX_[4873] = vX_[5012] + vX_[5023] - vX_[1663];
+ vX_[1450] = vX_[5002] * vX_[354] + vX_[1663] * vX_[273];
+ vX_[2061] = 0 - (vX_[4873] * vX_[367] + vX_[1611] * vX_[354]) + vX_[1450];
+ vX_[2068] = vX_[2061] + vX_[4867] * vX_[355];
+ vX_[2073] = 0 - vX_[2068];
+ vX_[2094] = vX_[5002] * vX_[367] + vX_[1663] * vX_[354];
+ vX_[1762] = vX_[4873] * vX_[354] + vX_[1611] * vX_[273] + vX_[2094];
+ vX_[2100] = 0 - vX_[4872];
+ vX_[2105] = vX_[1762] + vX_[4834] * vX_[355] + vX_[2100] * vX_[274];
+ vX_[4877] = vX_[5011] + vX_[2756];
+ vX_[4880] = vX_[5260] * vX_[354] + vX_[4877] * vX_[367];
+ vX_[2097] = vX_[4880] * vX_[354] + vX_[39] * vX_[273];
+ vX_[2192] = vX_[4990] + vX_[4862];
+ vX_[1998] = 0 - vX_[1998];
+ vX_[4891] = vX_[2192] * vX_[367] + vX_[1998] * vX_[354];
+ vX_[4879] = 0 - vX_[4891];
+ vX_[4890] = vX_[2097] + vX_[4879] * vX_[274] + vX_[4866] * vX_[369];
+ vX_[2264] = 0 - vX_[4890];
+ vX_[4853] = vX_[5260] * vX_[273] + vX_[4877] * vX_[354];
+ vX_[2337] = vX_[4853] * vX_[367] + vX_[4174] * vX_[354];
+ vX_[4964] = vX_[2192] * vX_[354] + vX_[2911] * vX_[273];
+ vX_[2443] = 0 - vX_[4964];
+ vX_[2508] = vX_[2337] + vX_[2443] * vX_[355] + vX_[4872] * vX_[369];
+ vX_[4460] = vX_[4853] * vX_[354] + vX_[4174] * vX_[273];
+ vX_[4858] = vX_[4460] + vX_[4891] * vX_[355];
+ vX_[2428] = vX_[4880] * vX_[367] + vX_[39] * vX_[354];
+ vX_[2410] = vX_[2428] + vX_[4964] * vX_[274] + vX_[4892] * vX_[369];
+ vX_[4428] = 0 - vX_[4858] + vX_[2410];
+ vX_[4881] = 0 - vX_[4834];
+ vX_[2453] = 0 - vX_[4867];
+ vX_[4866] = vX_[4892] * vX_[597] + vX_[4866] * vX_[543] + vX_[4872] * vX_[333] + vX_[2073] * vX_[370] +
+ vX_[2105] * vX_[381] + vX_[2264] * vX_[362] + vX_[2508] * vX_[356] + vX_[4428] * vX_[353] +
+ vX_[4881] * vX_[594] + vX_[4834] * vX_[591] + vX_[2453] * vX_[542] + vX_[4872] * vX_[546];
+ vX_[4892] = vX_[5154] * -3.44;
+ vX_[4864] = vX_[5194] * 0.1466472;
+ vX_[4841] = vX_[5192] * -0.5824264;
+ vX_[2592] = 0 - vX_[4892] + vX_[4864] - vX_[4841];
+ vX_[4876] = vX_[5178] * vX_[381] + vX_[5154] * vX_[356] + vX_[5187] * vX_[353] + vX_[5190] * vX_[591] +
+ vX_[5192] * vX_[540];
+ vX_[4605] = vX_[4724] * vX_[1375] + vX_[6308] * vX_[303] + vX_[2592] * vX_[1026] + vX_[4605] * vX_[1274] -
+ vX_[4876] * x_in[27];
+ vX_[4861] = vX_[4599] + vX_[2037] + vX_[5030] - vX_[4867] - vX_[4872];
+ vX_[4863] = 0 - vX_[4861];
+ vX_[1450] = vX_[1450] + vX_[4863] * vX_[355];
+ vX_[2094] = vX_[2094] + vX_[4861] * vX_[274];
+ vX_[4875] = 0 - vX_[2105];
+ vX_[4859] = 0 - vX_[2508];
+ vX_[4888] = vX_[2005] + vX_[2001] + vX_[4877] + vX_[8340] - vX_[4460] - vX_[2428];
+ vX_[2410] = vX_[4888] - vX_[2410];
+ vX_[4887] = 0 - vX_[4891];
+ vX_[2477] = 0 - vX_[4834];
+ vX_[2251] = 0 - vX_[4872];
+ vX_[2509] = vX_[2755] - vX_[5025];
+ vX_[2498] = vX_[5017] + vX_[4918];
+ vX_[4845] = vX_[2509] * vX_[354] + vX_[5319] * vX_[273];
+ vX_[4850] = vX_[2509] * vX_[367] + vX_[5319] * vX_[354];
+ vX_[5212] = vX_[5208] * 0.1104774 + vX_[5210] * 0.0004405 + vX_[5212] * 0.025941;
+ vX_[4844] = (0 - vX_[5197]) * -8.81e-05;
+ vX_[5779] = vX_[4844] + vX_[5779];
+ vX_[5216] = vX_[5197] * 0.0004405 + vX_[5208] * 8.81e-05 + vX_[5216] * 0.000468;
+ vX_[5779] = vX_[6135] * vX_[1309] + vX_[4603] * vX_[1455] + vX_[5705] * vX_[1465] + vX_[5212] * vX_[1342] +
+ vX_[5779] * vX_[1241] + vX_[5779] * vX_[1241] + vX_[5216] * x_in[29];
+ vX_[4844] = vX_[4844] + vX_[4542];
+ vX_[5214] = vX_[5197] * -0.1104774 + vX_[5210] * -8.81e-05 + vX_[5214] * 0.026409;
+ vX_[4844] = vX_[8765] * vX_[1309] + vX_[2605] * vX_[2058] + vX_[8360] * vX_[1465] + vX_[5212] * vX_[1241] +
+ vX_[4844] * vX_[1342] + vX_[4844] * vX_[1342] - vX_[5214] * x_in[29];
+ vX_[5212] = vX_[5199] * 0.47422804 + vX_[5200] * -0.0825825 + vX_[5207] * 0.081641 + (0 - vX_[5196]) * 2.1e-05 +
+ vX_[5205] * 0.000102;
+ vX_[2605] = (0 - vX_[5207]) * 0.007418;
+ vX_[2665] = vX_[1686] + vX_[2605] - vX_[2665];
+ vX_[1686] = vX_[5195] * vX_[297] + vX_[5199] * vX_[313] + vX_[5200] * vX_[302] + vX_[5196] * vX_[345] +
+ vX_[5205] * vX_[341];
+ vX_[2665] = vX_[8789] * -0.35 + vX_[5779] * vX_[277] + vX_[4844] * vX_[279] + vX_[8799] * vX_[1551] +
+ vX_[2678] * vX_[1116] + vX_[6127] * vX_[1109] + vX_[5212] * vX_[1616] + vX_[2665] * vX_[1547] +
+ vX_[2665] * vX_[1547] + vX_[1686] * x_in[28];
+ vX_[2605] = vX_[4935] - vX_[2605] - vX_[4568];
+ vX_[4568] = vX_[5195] * vX_[310] + vX_[5199] * vX_[314] + vX_[5200] * vX_[308] + vX_[5196] * vX_[339] +
+ vX_[5205] * vX_[345];
+ vX_[2605] = vX_[5779] * vX_[280] + vX_[4844] * vX_[277] + vX_[6120] * vX_[1551] + vX_[2610] * vX_[1460] +
+ vX_[439] * vX_[1109] + vX_[5212] * vX_[1547] + vX_[2605] * vX_[1616] + vX_[2605] * vX_[1616] -
+ vX_[4568] * x_in[28];
+ vX_[4841] = vX_[4892] - vX_[4864] + vX_[4841];
+ vX_[4864] = vX_[5178] * 0.1466472 + vX_[5187] * -0.5824264 + vX_[5194] * -5.1e-05 + (0 - vX_[5190]) * -0.123672 +
+ (0 - vX_[5192]) * 3.6e-05;
+ vX_[4892] = vX_[5190] * 0.022734;
+ vX_[2456] = vX_[2460] - vX_[2456] - vX_[4892];
+ vX_[2460] = vX_[5178] * vX_[324] + vX_[5154] * vX_[591] + vX_[5187] * vX_[541] + vX_[5190] * vX_[539] +
+ vX_[5192] * vX_[593];
+ vX_[2456] = vX_[2665] * vX_[276] + vX_[2605] * vX_[303] + vX_[4841] * vX_[1767] + vX_[4813] * vX_[1777] +
+ vX_[4864] * vX_[1026] + vX_[2483] * vX_[1274] + vX_[2456] * vX_[1130] + vX_[2456] * vX_[1130] -
+ vX_[2460] * x_in[27];
+ vX_[5243] = vX_[5243] * vX_[2050];
+ vX_[5244] = vX_[5244] * vX_[2050];
+ vX_[2483] = vX_[5243] * vX_[277] + vX_[5244] * vX_[279];
+ vX_[5245] = vX_[5245] * vX_[2050];
+ vX_[4813] = 0 - vX_[5245];
+ vX_[5215] = vX_[5215] * vX_[2045];
+ vX_[5212] = vX_[5215] * vX_[277];
+ vX_[2610] = vX_[5215] * vX_[279];
+ vX_[439] = 0 - vX_[2610];
+ vX_[5231] = vX_[5231] * vX_[2057];
+ vX_[6120] = vX_[5231] * vX_[279];
+ vX_[5217] = vX_[5217] * vX_[2045];
+ vX_[4935] = vX_[5217] * vX_[277];
+ vX_[2678] = vX_[5217] * vX_[279];
+ vX_[6127] = 0 - vX_[5231];
+ vX_[8799] = vX_[6127] * vX_[277];
+ vX_[5232] = vX_[5232] * vX_[2057];
+ vX_[8789] = 0 - vX_[5232];
+ vX_[8360] = vX_[8789] * vX_[279];
+ vX_[8765] = vX_[5232] * vX_[277];
+ vX_[5219] = vX_[5219] * vX_[2047];
+ vX_[5210] = vX_[5243] + vX_[5219];
+ vX_[5220] = vX_[5220] * vX_[2047];
+ vX_[5197] = 0 - vX_[5244] - vX_[5220];
+ vX_[4542] = vX_[5210] * vX_[279] + vX_[5197] * vX_[277];
+ vX_[4603] = vX_[5219] * vX_[277] + vX_[5220] * vX_[279];
+ vX_[5237] = vX_[5237] * vX_[2057] + vX_[5225] * vX_[2045];
+ vX_[5225] = 0 - vX_[5237];
+ vX_[5705] = 0 - vX_[5237];
+ vX_[6135] = vX_[5705] * vX_[277];
+ vX_[5208] = vX_[5237] * vX_[279];
+ vX_[4843] = vX_[5238] * vX_[1520] + vX_[5372] * vX_[1470] + vX_[5375] * vX_[1504];
+ vX_[4840] = 0 - vX_[4843];
+ vX_[4839] = vX_[5238] * vX_[1606] + vX_[5372] * vX_[1505] + vX_[5375] * vX_[1464];
+ vX_[4849] = vX_[4840] * x_in[18] + vX_[4839] * x_in[19];
+ vX_[4848] = 0 - vX_[4849];
+ vX_[4847] = 0 - vX_[4849];
+ vX_[4846] = vX_[4847] * vX_[277];
+ vX_[4571] = vX_[4849] * vX_[1473];
+ vX_[5238] = vX_[5238] * vX_[1502] + vX_[5372] * vX_[1521] + vX_[5375] * vX_[1607];
+ jac[1034] = vX_[4838] * vX_[1000] + vX_[4798] * vX_[1460] + vX_[4568] * vX_[1149] + vX_[1686] * vX_[1547] +
+ vX_[4574] + vX_[5238] * vX_[1526] + vX_[4843] * vX_[1477] + vX_[4839] * vX_[1511];
+ jac[1070] = vX_[4564] * vX_[2052] + vX_[2811] * vX_[2058] + vX_[5214] * vX_[1609] + vX_[5216] * vX_[1241] +
+ vX_[4556] + vX_[5238] * vX_[1535] + vX_[4843] * vX_[1488] + vX_[4839] * vX_[1508];
+ vX_[5214] = vX_[5238] * x_in[29];
+ vX_[5216] = vX_[5214] * vX_[277];
+ vX_[4564] = vX_[5214] * vX_[1473];
+ vX_[2811] = vX_[5238] * x_in[28];
+ vX_[4556] = vX_[2811] * vX_[1473];
+ vX_[4568] = vX_[4843] * x_in[27];
+ vX_[1686] = vX_[2811] * vX_[277];
+ vX_[4838] = vX_[4568] * vX_[277];
+ vX_[4798] = vX_[4568] * vX_[1473];
+ vX_[4574] = vX_[5249] * vX_[1563];
+ vX_[5375] = 0 - vX_[4574];
+ vX_[5372] = 0 - vX_[4574];
+ vX_[4555] = vX_[5372] * vX_[277];
+ vX_[4829] = vX_[4574] * vX_[1473];
+ vX_[4073] = 0 - vX_[4073];
+ vX_[4665] = vX_[4850] + vX_[1346];
+ vX_[4422] = 0 - vX_[1450];
+ vX_[4149] = 0 - vX_[2094];
+ vX_[4888] = 0 - vX_[4888] + vX_[4858];
+ vX_[4858] = 0 - vX_[4964];
+ vX_[5209] = vX_[5209] * vX_[2045];
+ vX_[4500] = vX_[5209] * vX_[279];
+ vX_[5211] = vX_[5211] * vX_[2045];
+ vX_[4683] = vX_[5211] * vX_[277];
+ vX_[5213] = vX_[5213] * vX_[2045];
+ vX_[5230] = vX_[5230] * vX_[2057];
+ vX_[5246] = vX_[5246] * vX_[2050];
+ vX_[4407] = vX_[5246] * vX_[277];
+ vX_[5385] = vX_[5246] * vX_[279];
+ vX_[5400] = 0 - vX_[5385];
+ vX_[5235] = vX_[5235] * vX_[1435];
+ vX_[5512] = vX_[5235] * vX_[279];
+ vX_[5247] = vX_[5247] * vX_[2050];
+ vX_[5658] = vX_[5247] * vX_[277];
+ vX_[4810] = vX_[5247] * vX_[279];
+ vX_[2914] = 0 - vX_[5209] - vX_[5235];
+ vX_[5236] = vX_[5236] * vX_[1435];
+ vX_[4007] = 0 - vX_[5211] - vX_[5236];
+ vX_[5677] = vX_[2914] * vX_[277] + vX_[4007] * vX_[279];
+ vX_[5785] = vX_[5236] * vX_[277];
+ vX_[5233] = vX_[5233] * vX_[2057] + vX_[5224] * vX_[2050];
+ vX_[5224] = vX_[5233] * vX_[277];
+ vX_[3754] = 0 - vX_[4839];
+ vX_[4682] = vX_[5238] * x_in[18] + vX_[3754] * x_in[20];
+ vX_[4902] = vX_[4682] * vX_[1473];
+ vX_[4664] = vX_[5238] * x_in[27];
+ vX_[4145] = vX_[4843] * x_in[29];
+ vX_[4666] = 0 - vX_[4145];
+ vX_[4502] = vX_[4666] * vX_[277];
+ vX_[4755] = vX_[4145] * vX_[1473];
+ vX_[4409] = vX_[4843] * x_in[28];
+ vX_[4176] = 0 - vX_[4409];
+ vX_[4143] = vX_[4664] * vX_[277];
+ vX_[4504] = 0 - vX_[4409];
+ vX_[4506] = vX_[4504] * vX_[277];
+ vX_[5168] = vX_[4664] * vX_[1473];
+ vX_[5749] = vX_[4409] * vX_[1473];
+ vX_[5513] = vX_[5249] * vX_[1556];
+ vX_[4173] = vX_[4682] * vX_[277] + vX_[5513] * vX_[277];
+ vX_[4464] = vX_[5233] * vX_[279] + vX_[5513] * vX_[1473];
+ jac[350] =
+ 0 -
+ (vX_[5018] * vX_[1400] + vX_[5005] * vX_[1580] + vX_[4816] * vX_[711] + vX_[5319] * vX_[713] +
+ vX_[4065] * vX_[370] + vX_[1346] * vX_[693] + vX_[4494] * vX_[353] + vX_[5260] * vX_[677] +
+ vX_[1663] * vX_[378] + vX_[8340] * vX_[655] + vX_[4174] * vX_[654] + vX_[39] * vX_[651] +
+ vX_[1611] * vX_[387] + vX_[2812] * vX_[601] + vX_[5032] * vX_[603] + vX_[2911] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[4789] * x_in[22] + vX_[2683] * x_in[19] +
+ (vX_[5010] * vX_[1400] + vX_[4866] * vX_[367] + vX_[4789] * x_in[20]) * 0.3735 -
+ (vX_[5020] * vX_[1279] + vX_[4605] * x_in[23]) + (vX_[5005] * vX_[1279] + vX_[4605] * x_in[19]) * 0.3735 +
+ (vX_[5036] * vX_[1279] + vX_[4879] * vX_[543] + vX_[4964] * vX_[597] + vX_[4861] * vX_[380] +
+ vX_[2100] * vX_[382] + vX_[1450] * vX_[353] + vX_[2094] * vX_[362] + vX_[4875] * vX_[365] +
+ vX_[4859] * vX_[381] + vX_[2410] * vX_[370] + vX_[4887] * vX_[541] + vX_[4964] * vX_[594] +
+ vX_[2477] * vX_[324] + vX_[2251] * vX_[548] + vX_[4605] * x_in[18]) *
+ 0.207 -
+ (vX_[5010] * vX_[1574] + vX_[2509] * vX_[710] + vX_[2498] * vX_[686] + vX_[4845] * vX_[353] +
+ vX_[4850] * vX_[694] + vX_[1665] * vX_[652] + vX_[5002] * vX_[388] + vX_[4877] * vX_[678] +
+ vX_[4853] * vX_[653] + vX_[4880] * vX_[596] + vX_[4873] * vX_[377] + vX_[4570] * vX_[600] +
+ vX_[2192] * vX_[630] + vX_[4830] * vX_[598] + vX_[4831] * vX_[549] + vX_[4866] * vX_[368] +
+ vX_[2456] * x_in[20]) +
+ vX_[5198] * vX_[2045] + vX_[5234] * vX_[1435] + vX_[2483] * vX_[275] + vX_[4813] * vX_[275] * 0.35 +
+ vX_[5245] * 0.3735 + vX_[5212] * 0.35 + vX_[5212] * vX_[303] * 0.08 + vX_[5212] * vX_[275] * -0.3735 +
+ vX_[439] * vX_[303] * 0.3735 + vX_[2610] * vX_[275] * -0.08 + vX_[6120] * vX_[303] * -0.207 +
+ vX_[4935] * vX_[303] * 0.3735 + vX_[4935] * vX_[275] * 0.08 + vX_[2678] * 0.35 +
+ vX_[2678] * vX_[303] * 0.08 + vX_[2678] * vX_[275] * -0.3735 +
+ (vX_[8799] * vX_[275] + vX_[8360] * vX_[275]) * 0.207 + vX_[8765] * vX_[303] * 0.207 +
+ vX_[4542] * vX_[303] + vX_[4603] * vX_[275] + (0 - vX_[5237]) * 0.08 + vX_[5225] * vX_[303] * 0.35 +
+ vX_[6135] * vX_[303] * 0.33 + vX_[5208] * vX_[275] * 0.33 + (0 - vX_[4849]) * 0.08 +
+ vX_[4848] * vX_[303] * 0.35 + vX_[4846] * vX_[303] * 0.33 + vX_[4571] * vX_[275] * 0.33 +
+ vX_[5216] * vX_[275] * 0.33 + vX_[4564] * vX_[303] * 0.33 + vX_[2811] * vX_[275] * 0.35 +
+ vX_[4556] * vX_[303] * 0.33 + vX_[4568] * 0.08 + vX_[4568] * vX_[303] * 0.35 +
+ (vX_[1686] * vX_[275] + vX_[4838] * vX_[303]) * 0.33 + vX_[4798] * vX_[275] * -0.33 +
+ (0 - vX_[4574]) * 0.08 + vX_[5375] * vX_[303] * 0.35 + vX_[4555] * vX_[303] * 0.33 +
+ vX_[4829] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[5020] * vX_[1400] + vX_[5018] * vX_[1279] + vX_[5010] * vX_[1580] + vX_[5005] * vX_[1574] +
+ vX_[2509] * vX_[713] + vX_[4816] * vX_[709] + vX_[5319] * vX_[710] + vX_[2498] * vX_[370] +
+ vX_[4073] * vX_[686] + vX_[4845] * vX_[693] + vX_[4665] * vX_[353] + vX_[4494] * vX_[694] +
+ vX_[5260] * vX_[678] + vX_[1665] * vX_[655] + vX_[5002] * vX_[378] + vX_[1663] * vX_[388] +
+ vX_[4877] * vX_[677] + vX_[8340] * vX_[652] + vX_[4853] * vX_[654] + vX_[4880] * vX_[651] +
+ vX_[4174] * vX_[653] + vX_[39] * vX_[596] + vX_[4873] * vX_[387] + vX_[1611] * vX_[377] +
+ vX_[4570] * vX_[603] + vX_[2812] * vX_[599] + vX_[5032] * vX_[600] + vX_[2192] * vX_[631] +
+ vX_[1998] * vX_[630] + vX_[4830] * vX_[545] + vX_[4833] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[4866] * vX_[366] +
+ (vX_[4891] * vX_[595] + vX_[2443] * vX_[333] + vX_[4834] * vX_[382] + vX_[4863] * vX_[357] +
+ vX_[4867] * vX_[371] + vX_[4422] * vX_[356] + vX_[2068] * vX_[365] + vX_[4149] * vX_[353] +
+ vX_[4890] * vX_[370] + vX_[4888] * vX_[381] + vX_[4891] * vX_[591] + vX_[4858] * vX_[540] +
+ vX_[4834] * vX_[386] + vX_[4867] * vX_[537]) *
+ 0.207 +
+ vX_[4789] * x_in[23] + vX_[4605] * x_in[22] + vX_[2683] * x_in[20] + vX_[2456] * x_in[19] +
+ (vX_[5005] * vX_[1400] + vX_[4866] * vX_[354] + vX_[4789] * x_in[19]) * -0.3735 +
+ (vX_[5036] * vX_[1400] + vX_[4789] * x_in[18]) * -0.207 +
+ (vX_[5010] * vX_[1279] + vX_[4605] * x_in[20]) * 0.3735 + vX_[5242] * vX_[2050] + vX_[5218] * vX_[2047] -
+ vX_[4500] * vX_[303] + vX_[4683] * vX_[303] + (0 - vX_[5213]) * 0.3735 + vX_[5213] * vX_[275] * 0.35 +
+ (0 - vX_[5230]) * 0.207 + vX_[4407] * 0.35 + vX_[4407] * vX_[303] * 0.08 + vX_[4407] * vX_[275] * -0.3735 +
+ vX_[5400] * vX_[303] * 0.3735 + (0 - vX_[5385] * vX_[275]) * 0.08 - vX_[5512] * vX_[303] +
+ vX_[5658] * vX_[303] * 0.3735 + vX_[5658] * vX_[275] * 0.08 + vX_[4810] * 0.35 +
+ vX_[4810] * vX_[303] * 0.08 + vX_[4810] * vX_[275] * -0.3735 + vX_[5677] * vX_[275] + vX_[5785] * vX_[303] +
+ vX_[5233] * 0.08 + vX_[5233] * vX_[303] * 0.35 + vX_[5224] * vX_[303] * 0.33 + vX_[4682] * 0.08 +
+ vX_[4682] * vX_[303] * 0.35 + vX_[4902] * vX_[275] * -0.33 + vX_[4664] * 0.08 +
+ vX_[4664] * vX_[303] * 0.35 + vX_[4502] * vX_[275] * 0.33 + vX_[4755] * vX_[303] * -0.33 +
+ vX_[4176] * vX_[275] * 0.35 + (vX_[4143] * vX_[303] + vX_[4506] * vX_[275]) * 0.33 +
+ (vX_[5168] * vX_[275] + vX_[5749] * vX_[303]) * -0.33 + vX_[5513] * 0.08 + vX_[5513] * vX_[303] * 0.35 +
+ vX_[4173] * vX_[303] * 0.33 + vX_[4464] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[5245] = vX_[5021] - vX_[5444];
+ vX_[2509] = vX_[5438] + vX_[1924];
+ vX_[4863] = vX_[5433] + vX_[2846];
+ vX_[4861] = 0 - vX_[4863];
+ vX_[4866] = vX_[5245] * vX_[273];
+ vX_[2443] = vX_[5245] * vX_[354];
+ vX_[4853] = vX_[5435] + vX_[2003];
+ vX_[4879] = vX_[1849] + vX_[1539];
+ vX_[1998] = vX_[5434] + vX_[1972];
+ vX_[2192] = vX_[5425] + vX_[5445];
+ vX_[4880] = vX_[2192] * vX_[354] + vX_[1998] * vX_[273];
+ vX_[4877] = vX_[2192] * vX_[367] + vX_[1998] * vX_[354];
+ vX_[2100] = vX_[5004] + vX_[1545];
+ vX_[4873] = 0 - (vX_[5432] + vX_[5443]) + vX_[2100];
+ vX_[4833] = vX_[1927] - vX_[5449];
+ vX_[4831] = vX_[5428] + vX_[1979];
+ vX_[4830] = vX_[1235] + vX_[1452];
+ vX_[4570] = 0 - vX_[4830];
+ vX_[560] = vX_[4833] * vX_[273];
+ vX_[9208] = vX_[4833] * vX_[354];
+ vX_[2911] = vX_[5629] * 0.881 + (0 - vX_[5631]) * 0.0004405 + vX_[5633] * -8.81e-05;
+ vX_[5032] = vX_[5627] * -0.881;
+ vX_[2812] = vX_[5631] * 0.1104774;
+ vX_[1611] = vX_[5635] * -8.81e-05;
+ vX_[5002] = vX_[5032] - vX_[2812] + vX_[1611];
+ vX_[39] = vX_[2911] * vX_[1241] + vX_[5002] * vX_[1342];
+ vX_[4174] = vX_[5619] * 3.146 + (0 - vX_[5626]) * -0.0825825;
+ vX_[1665] = vX_[5618] * -3.146;
+ vX_[8340] = vX_[5626] * 0.47422804;
+ vX_[1663] = vX_[1665] - vX_[8340];
+ vX_[5260] = vX_[39] + vX_[4174] * vX_[1547] + vX_[1663] * vX_[1616];
+ vX_[5319] = vX_[5606] * 3.44 + vX_[5609] * -0.5824264;
+ vX_[4816] = 0 - vX_[5319];
+ vX_[5242] = vX_[5597] * 3.44 + (0 - vX_[5609]) * 0.1466472;
+ vX_[5234] = vX_[5417] + vX_[5597] * vX_[370] + vX_[5573] * vX_[353] + vX_[5606] * vX_[362] + vX_[5609] * vX_[541] +
+ vX_[5611] * vX_[594];
+ vX_[5218] = vX_[5260] + vX_[4816] * vX_[1026] + vX_[5242] * vX_[1130] + vX_[5234] * x_in[27];
+ vX_[5198] = 0 - vX_[2911];
+ vX_[1611] = 0 - vX_[5032] + vX_[2812] - vX_[1611];
+ vX_[2812] = vX_[5616] * 0.0004405 + vX_[5627] * -8.81e-05 + vX_[5635] * -0.000227999999999999;
+ vX_[5032] = vX_[5616] * 0.1104774 + vX_[5629] * -8.81e-05 + (0 - vX_[5633]) * 0.025713;
+ vX_[4141] = (0 - vX_[5627]) * 0.0004405;
+ vX_[4401] = (0 - vX_[5629]) * 0.1104774;
+ vX_[4402] = vX_[4141] + vX_[4401];
+ vX_[4402] = vX_[5198] * vX_[2058] + vX_[1611] * vX_[1455] + vX_[2812] * vX_[1241] + vX_[5032] * vX_[1342] +
+ vX_[4402] * vX_[1465] + vX_[4402] * vX_[1465];
+ vX_[4404] = vX_[5616] * 0.881 + (0 - vX_[5633]) * 0.1104774 + vX_[5635] * 0.0004405;
+ vX_[4405] = vX_[5627] * 0.00185880198235362 + vX_[5629] * 0.880992588508842 + vX_[5633] * -8.81e-05;
+ vX_[5198] = vX_[5198] * vX_[1465] + vX_[4404] * vX_[1342] + vX_[4405] * x_in[29];
+ vX_[4463] = 0 - vX_[4404];
+ vX_[4438] = vX_[5627] * 0.414812462825713 + vX_[5629] * 0.00185880198235362 + vX_[5635] * 8.81e-05;
+ vX_[1611] = vX_[1611] * vX_[1465] + vX_[4463] * vX_[1241] - vX_[4438] * x_in[29];
+ vX_[4437] = 0 - vX_[4174];
+ vX_[8340] = 0 - vX_[1665] + vX_[8340];
+ vX_[1665] = vX_[5614] * -0.0825825 + (0 - vX_[5626]) * 0.000102 + vX_[5615] * 0.007418 + vX_[5624] * 0.002735;
+ vX_[4443] = vX_[5614] * 0.47422804 + vX_[5626] * 2.1e-05 + (0 - vX_[5615]) * 0.084376 + (0 - vX_[5624]) * 0.007418;
+ vX_[4444] = (0 - vX_[5618]) * -0.0825825;
+ vX_[2864] = (0 - vX_[5619]) * 0.47422804;
+ vX_[2867] = vX_[5615] * 0.000102;
+ vX_[2866] = (0 - vX_[5624]) * 2.1e-05;
+ vX_[2874] = vX_[4444] + vX_[2864] + vX_[2867] + vX_[2866];
+ vX_[2874] = vX_[4402] + vX_[5198] * vX_[1388] + vX_[1611] * vX_[282] + vX_[4437] * vX_[1460] +
+ vX_[8340] * vX_[1116] + vX_[1665] * vX_[1547] + vX_[4443] * vX_[1616] + vX_[2874] * vX_[1109] +
+ vX_[2874] * vX_[1109];
+ vX_[2871] = vX_[5614] * 3.146 + (0 - vX_[5615]) * 0.47422804 + vX_[5624] * -0.0825825;
+ vX_[2885] = vX_[5618] * vX_[330] + vX_[5619] * vX_[329] + vX_[5615] * vX_[308] + vX_[5624] * vX_[302];
+ vX_[4437] = vX_[5198] * vX_[277] + vX_[1611] * vX_[279] + vX_[4437] * vX_[1109] + vX_[2871] * vX_[1616] +
+ vX_[2885] * x_in[28];
+ vX_[2887] = 0 - vX_[2871];
+ vX_[2895] = vX_[5618] * vX_[328] + vX_[5619] * vX_[330] + vX_[5615] * vX_[314] + vX_[5624] * vX_[313];
+ vX_[8340] = vX_[5198] * vX_[1380] + vX_[1611] * vX_[277] + vX_[8340] * vX_[1109] + vX_[2887] * vX_[1547] -
+ vX_[2895] * x_in[28];
+ vX_[4448] = 0 - vX_[5242];
+ vX_[4451] = vX_[5573] * -0.5824264 + (0 - vX_[5613]) * 0.022734 + vX_[5609] * 3.6e-05 + vX_[5611] * -0.133138;
+ vX_[2900] = vX_[5573] * 0.1466472 + vX_[5613] * 0.009466 + (0 - vX_[5609]) * -5.1e-05 + vX_[5611] * 0.022734;
+ vX_[2892] = (0 - vX_[5597]) * -0.5824264;
+ vX_[4462] = (0 - vX_[5606]) * 0.1466472;
+ vX_[4450] = (0 - vX_[5613]) * 3.6e-05;
+ vX_[4461] = (0 - vX_[5611]) * -5.1e-05;
+ vX_[4235] = vX_[2892] + vX_[4462] + vX_[4450] - vX_[4461];
+ vX_[4424] = vX_[5423] + vX_[5597] * vX_[386] + vX_[5573] * vX_[540] + vX_[5606] * vX_[594] + vX_[5609] * vX_[593] +
+ vX_[5611] * vX_[350];
+ vX_[4235] = vX_[2874] + vX_[4437] * vX_[1376] + vX_[8340] * vX_[321] + vX_[5319] * vX_[1767] +
+ vX_[4448] * vX_[1126] + vX_[4451] * vX_[1026] + vX_[2900] * vX_[1130] + vX_[4235] * vX_[1274] +
+ vX_[4235] * vX_[1274] + vX_[4424] * x_in[27];
+ vX_[4308] = vX_[5028] - vX_[5449];
+ vX_[4535] = vX_[4308] * vX_[354] + vX_[4831] * vX_[273];
+ vX_[4222] = vX_[4308] * vX_[367] + vX_[4831] * vX_[354];
+ vX_[4546] = vX_[4222] + vX_[560];
+ vX_[5368] = vX_[4535] * vX_[367] + vX_[4546] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[4429] = 0 - vX_[5368];
+ vX_[4399] = vX_[5449] + vX_[4535] * vX_[354] + vX_[560] * vX_[273];
+ vX_[4381] = 0 - vX_[4399];
+ vX_[4045] = vX_[5449] + vX_[4222] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[4452] = vX_[5431] + vX_[5442] - vX_[4879];
+ vX_[4490] = vX_[2100] * vX_[354] + vX_[4879] * vX_[273];
+ vX_[4435] = 0 - (vX_[4452] * vX_[367] + vX_[4873] * vX_[354]) + vX_[4490];
+ vX_[4412] = vX_[4435] + vX_[4399] * vX_[355];
+ vX_[4550] = 0 - vX_[4412];
+ vX_[4447] = vX_[2100] * vX_[367] + vX_[4879] * vX_[354];
+ vX_[4432] = vX_[4452] * vX_[354] + vX_[4873] * vX_[273] + vX_[4447];
+ vX_[4434] = 0 - vX_[4045];
+ vX_[4446] = vX_[4432] + vX_[5368] * vX_[355] + vX_[4434] * vX_[274];
+ vX_[4430] = vX_[5430] + vX_[1981];
+ vX_[4459] = vX_[4853] * vX_[354] + vX_[4430] * vX_[367];
+ vX_[4458] = vX_[4459] * vX_[354] + vX_[4877] * vX_[273];
+ vX_[4515] = vX_[5419] + vX_[5291];
+ vX_[4830] = 0 - vX_[4830];
+ vX_[4487] = vX_[4515] * vX_[367] + vX_[4830] * vX_[354];
+ vX_[4549] = 0 - vX_[4487];
+ vX_[4536] = vX_[4458] + vX_[4549] * vX_[274] + vX_[4381] * vX_[369];
+ vX_[4416] = 0 - vX_[4536];
+ vX_[4421] = vX_[4853] * vX_[273] + vX_[4430] * vX_[354];
+ vX_[4415] = vX_[4421] * vX_[367] + vX_[4880] * vX_[354];
+ vX_[4414] = vX_[4515] * vX_[354] + vX_[4570] * vX_[273];
+ vX_[4411] = 0 - vX_[4414];
+ vX_[4410] = vX_[4415] + vX_[4411] * vX_[355] + vX_[4045] * vX_[369];
+ vX_[4420] = vX_[4421] * vX_[354] + vX_[4880] * vX_[273];
+ vX_[4419] = vX_[4420] + vX_[4487] * vX_[355];
+ vX_[4418] = vX_[4459] * vX_[367] + vX_[4877] * vX_[354];
+ vX_[4417] = vX_[4418] + vX_[4414] * vX_[274] + vX_[4429] * vX_[369];
+ vX_[3992] = 0 - vX_[4419] + vX_[4417];
+ vX_[6227] = 0 - vX_[5368];
+ vX_[6461] = 0 - vX_[4399];
+ vX_[4381] = vX_[4429] * vX_[597] + vX_[4381] * vX_[543] + vX_[4045] * vX_[333] + vX_[4550] * vX_[370] +
+ vX_[4446] * vX_[381] + vX_[4416] * vX_[362] + vX_[4410] * vX_[356] + vX_[3992] * vX_[353] +
+ vX_[6227] * vX_[594] + vX_[5368] * vX_[591] + vX_[6461] * vX_[542] + vX_[4045] * vX_[546];
+ vX_[4429] = vX_[5573] * -3.44;
+ vX_[6517] = vX_[5613] * 0.1466472;
+ vX_[6612] = vX_[5611] * -0.5824264;
+ vX_[3759] = 0 - vX_[4429] + vX_[6517] - vX_[6612];
+ vX_[5587] = vX_[5415] + vX_[5597] * vX_[381] + vX_[5573] * vX_[356] + vX_[5606] * vX_[353] + vX_[5609] * vX_[591] +
+ vX_[5611] * vX_[540];
+ vX_[4448] = vX_[4437] * vX_[1375] + vX_[8340] * vX_[303] + vX_[3759] * vX_[1026] + vX_[4448] * vX_[1274] -
+ vX_[5587] * x_in[27];
+ vX_[3611] = vX_[5028] + vX_[1927] + vX_[5449] - vX_[4399] - vX_[4045];
+ vX_[6357] = 0 - vX_[3611];
+ vX_[4490] = vX_[4490] + vX_[6357] * vX_[355];
+ vX_[4447] = vX_[4447] + vX_[3611] * vX_[274];
+ vX_[6663] = 0 - vX_[4446];
+ vX_[6662] = 0 - vX_[4410];
+ vX_[5530] = vX_[1301] + vX_[1458] + vX_[4430] + vX_[1998] - vX_[4420] - vX_[4418];
+ vX_[4417] = vX_[5530] - vX_[4417];
+ vX_[5762] = 0 - vX_[4487];
+ vX_[5358] = 0 - vX_[5368];
+ vX_[3990] = 0 - vX_[4045];
+ vX_[3994] = vX_[1977] - vX_[5444];
+ vX_[5771] = vX_[5436] + vX_[2651];
+ vX_[3989] = vX_[3994] * vX_[354] + vX_[2509] * vX_[273];
+ vX_[5603] = vX_[3994] * vX_[367] + vX_[2509] * vX_[354];
+ vX_[5631] = vX_[5627] * 0.1104774 + vX_[5629] * 0.0004405 + vX_[5631] * 0.025941;
+ vX_[3761] = (0 - vX_[5616]) * -8.81e-05;
+ vX_[4401] = vX_[3761] + vX_[4401];
+ vX_[5635] = vX_[5616] * 0.0004405 + vX_[5627] * 8.81e-05 + vX_[5635] * 0.000468;
+ vX_[4401] = vX_[2911] * vX_[1309] + vX_[4463] * vX_[1455] + vX_[2812] * vX_[1465] + vX_[5631] * vX_[1342] +
+ vX_[4401] * vX_[1241] + vX_[4401] * vX_[1241] + vX_[5635] * x_in[29];
+ vX_[3761] = vX_[3761] + vX_[4141];
+ vX_[5633] = vX_[5616] * -0.1104774 + vX_[5629] * -8.81e-05 + vX_[5633] * 0.026409;
+ vX_[3761] = vX_[5002] * vX_[1309] + vX_[4404] * vX_[2058] + vX_[5032] * vX_[1465] + vX_[5631] * vX_[1241] +
+ vX_[3761] * vX_[1342] + vX_[3761] * vX_[1342] - vX_[5633] * x_in[29];
+ vX_[5631] = vX_[5618] * 0.47422804 + vX_[5619] * -0.0825825 + vX_[5626] * 0.081641 + (0 - vX_[5615]) * 2.1e-05 +
+ vX_[5624] * 0.000102;
+ vX_[4404] = (0 - vX_[5626]) * 0.007418;
+ vX_[2866] = vX_[2864] + vX_[4404] - vX_[2866];
+ vX_[2864] = vX_[5614] * vX_[297] + vX_[5618] * vX_[313] + vX_[5619] * vX_[302] + vX_[5615] * vX_[345] +
+ vX_[5624] * vX_[341];
+ vX_[2866] = vX_[39] * -0.35 + vX_[4401] * vX_[277] + vX_[3761] * vX_[279] + vX_[4174] * vX_[1551] +
+ vX_[2887] * vX_[1116] + vX_[1665] * vX_[1109] + vX_[5631] * vX_[1616] + vX_[2866] * vX_[1547] +
+ vX_[2866] * vX_[1547] + vX_[2864] * x_in[28];
+ vX_[4404] = vX_[4444] - vX_[4404] - vX_[2867];
+ vX_[2867] = vX_[5614] * vX_[310] + vX_[5618] * vX_[314] + vX_[5619] * vX_[308] + vX_[5615] * vX_[339] +
+ vX_[5624] * vX_[345];
+ vX_[4404] = vX_[4401] * vX_[280] + vX_[3761] * vX_[277] + vX_[1663] * vX_[1551] + vX_[2871] * vX_[1460] +
+ vX_[4443] * vX_[1109] + vX_[5631] * vX_[1547] + vX_[4404] * vX_[1616] + vX_[4404] * vX_[1616] -
+ vX_[2867] * x_in[28];
+ vX_[6612] = vX_[4429] - vX_[6517] + vX_[6612];
+ vX_[6517] = vX_[5597] * 0.1466472 + vX_[5606] * -0.5824264 + vX_[5613] * -5.1e-05 + (0 - vX_[5609]) * -0.123672 +
+ (0 - vX_[5611]) * 3.6e-05;
+ vX_[4429] = vX_[5609] * 0.022734;
+ vX_[4450] = vX_[2892] - vX_[4450] - vX_[4429];
+ vX_[2892] = vX_[5421] + vX_[5597] * vX_[324] + vX_[5573] * vX_[591] + vX_[5606] * vX_[541] + vX_[5609] * vX_[539] +
+ vX_[5611] * vX_[593];
+ vX_[4450] = vX_[2866] * vX_[276] + vX_[4404] * vX_[303] + vX_[6612] * vX_[1767] + vX_[5242] * vX_[1777] +
+ vX_[6517] * vX_[1026] + vX_[2900] * vX_[1274] + vX_[4450] * vX_[1130] + vX_[4450] * vX_[1130] -
+ vX_[2892] * x_in[27];
+ vX_[5662] = vX_[5662] * vX_[2050];
+ vX_[5663] = vX_[5663] * vX_[2050];
+ vX_[2900] = vX_[5662] * vX_[277] + vX_[5663] * vX_[279];
+ vX_[5664] = vX_[5664] * vX_[2050];
+ vX_[5242] = 0 - vX_[5664];
+ vX_[5634] = vX_[5634] * vX_[2045];
+ vX_[5631] = vX_[5634] * vX_[277];
+ vX_[2871] = vX_[5634] * vX_[279];
+ vX_[4443] = 0 - vX_[2871];
+ vX_[5650] = vX_[5650] * vX_[2057];
+ vX_[1663] = vX_[5650] * vX_[279];
+ vX_[5636] = vX_[5636] * vX_[2045];
+ vX_[4444] = vX_[5636] * vX_[277];
+ vX_[2887] = vX_[5636] * vX_[279];
+ vX_[1665] = 0 - vX_[5650];
+ vX_[4174] = vX_[1665] * vX_[277];
+ vX_[5651] = vX_[5651] * vX_[2057];
+ vX_[39] = 0 - vX_[5651];
+ vX_[5032] = vX_[39] * vX_[279];
+ vX_[5002] = vX_[5651] * vX_[277];
+ vX_[5638] = vX_[5638] * vX_[2047];
+ vX_[5629] = vX_[5662] + vX_[5638];
+ vX_[5639] = vX_[5639] * vX_[2047];
+ vX_[5616] = 0 - vX_[5663] - vX_[5639];
+ vX_[4141] = vX_[5629] * vX_[279] + vX_[5616] * vX_[277];
+ vX_[4463] = vX_[5638] * vX_[277] + vX_[5639] * vX_[279];
+ vX_[5656] = vX_[5656] * vX_[2057] + vX_[5644] * vX_[2045];
+ vX_[5644] = 0 - vX_[5656];
+ vX_[2812] = 0 - vX_[5656];
+ vX_[2911] = vX_[2812] * vX_[277];
+ vX_[5627] = vX_[5656] * vX_[279];
+ vX_[5166] = vX_[5657] * vX_[1520] + vX_[5791] * vX_[1470] + vX_[5794] * vX_[1504];
+ vX_[5514] = 0 - vX_[5166];
+ vX_[5360] = vX_[5657] * vX_[1606] + vX_[5791] * vX_[1505] + vX_[5794] * vX_[1464];
+ vX_[6106] = vX_[5514] * x_in[18] + vX_[5360] * x_in[19];
+ vX_[6616] = 0 - vX_[6106];
+ vX_[6443] = 0 - vX_[6106];
+ vX_[3758] = vX_[6443] * vX_[277];
+ vX_[4049] = vX_[6106] * vX_[1473];
+ vX_[5657] = vX_[5657] * vX_[1502] + vX_[5791] * vX_[1521] + vX_[5794] * vX_[1607];
+ jac[1035] = vX_[2895] * vX_[1000] + vX_[2885] * vX_[1460] + vX_[2867] * vX_[1149] + vX_[2864] * vX_[1547] +
+ vX_[2874] + vX_[5657] * vX_[1526] + vX_[5166] * vX_[1477] + vX_[5360] * vX_[1511];
+ jac[1071] = vX_[4438] * vX_[2052] + vX_[4405] * vX_[2058] + vX_[5633] * vX_[1609] + vX_[5635] * vX_[1241] +
+ vX_[4402] + vX_[5657] * vX_[1535] + vX_[5166] * vX_[1488] + vX_[5360] * vX_[1508];
+ vX_[5633] = vX_[5657] * x_in[29];
+ vX_[5635] = vX_[5633] * vX_[277];
+ vX_[4438] = vX_[5633] * vX_[1473];
+ vX_[4405] = vX_[5657] * x_in[28];
+ vX_[4402] = vX_[4405] * vX_[1473];
+ vX_[2867] = vX_[5166] * x_in[27];
+ vX_[2864] = vX_[4405] * vX_[277];
+ vX_[2895] = vX_[2867] * vX_[277];
+ vX_[2885] = vX_[2867] * vX_[1473];
+ vX_[2874] = vX_[5668] * vX_[1563];
+ vX_[5794] = 0 - vX_[2874];
+ vX_[5791] = 0 - vX_[2874];
+ vX_[5788] = vX_[5791] * vX_[277];
+ vX_[5362] = vX_[2874] * vX_[1473];
+ vX_[4863] = 0 - vX_[4863];
+ vX_[5352] = vX_[5603] + vX_[4866];
+ vX_[3986] = 0 - vX_[4490];
+ vX_[3987] = 0 - vX_[4447];
+ vX_[5530] = 0 - vX_[5530] + vX_[4419];
+ vX_[4419] = 0 - vX_[4414];
+ vX_[5628] = vX_[5628] * vX_[2045];
+ vX_[4048] = vX_[5628] * vX_[279];
+ vX_[5630] = vX_[5630] * vX_[2045];
+ vX_[4023] = vX_[5630] * vX_[277];
+ vX_[5632] = vX_[5632] * vX_[2045];
+ vX_[5649] = vX_[5649] * vX_[2057];
+ vX_[5665] = vX_[5665] * vX_[2050];
+ vX_[4022] = vX_[5665] * vX_[277];
+ vX_[4028] = vX_[5665] * vX_[279];
+ vX_[4029] = 0 - vX_[4028];
+ vX_[5654] = vX_[5654] * vX_[1435];
+ vX_[4939] = vX_[5654] * vX_[279];
+ vX_[5666] = vX_[5666] * vX_[2050];
+ vX_[4948] = vX_[5666] * vX_[277];
+ vX_[4797] = vX_[5666] * vX_[279];
+ vX_[4944] = 0 - vX_[5628] - vX_[5654];
+ vX_[5655] = vX_[5655] * vX_[1435];
+ vX_[4961] = 0 - vX_[5630] - vX_[5655];
+ vX_[4960] = vX_[4944] * vX_[277] + vX_[4961] * vX_[279];
+ vX_[4870] = vX_[5655] * vX_[277];
+ vX_[5652] = vX_[5652] * vX_[2057] + vX_[5643] * vX_[2050];
+ vX_[5643] = vX_[5652] * vX_[277];
+ vX_[4965] = 0 - vX_[5360];
+ vX_[4033] = vX_[5657] * x_in[18] + vX_[4965] * x_in[20];
+ vX_[4036] = vX_[4033] * vX_[1473];
+ vX_[4975] = vX_[5657] * x_in[27];
+ vX_[4982] = vX_[5166] * x_in[29];
+ vX_[4047] = 0 - vX_[4982];
+ vX_[4035] = vX_[4047] * vX_[277];
+ vX_[4046] = vX_[4982] * vX_[1473];
+ vX_[5167] = vX_[5166] * x_in[28];
+ vX_[4009] = 0 - vX_[5167];
+ vX_[5240] = vX_[4975] * vX_[277];
+ vX_[4120] = 0 - vX_[5167];
+ vX_[5344] = vX_[4120] * vX_[277];
+ vX_[5408] = vX_[4975] * vX_[1473];
+ vX_[3649] = vX_[5167] * vX_[1473];
+ vX_[4014] = vX_[5668] * vX_[1556];
+ vX_[5253] = vX_[4033] * vX_[277] + vX_[4014] * vX_[277];
+ vX_[5313] = vX_[5652] * vX_[279] + vX_[4014] * vX_[1473];
+ jac[351] =
+ 0 -
+ (vX_[5415] * vX_[4013] + vX_[5421] * vX_[4518] + vX_[5437] * vX_[1400] + vX_[5424] * vX_[1580] +
+ vX_[5245] * vX_[711] + vX_[2509] * vX_[713] + vX_[4861] * vX_[370] + vX_[4866] * vX_[693] +
+ vX_[2443] * vX_[353] + vX_[4853] * vX_[677] + vX_[4879] * vX_[378] + vX_[1998] * vX_[655] +
+ vX_[4880] * vX_[654] + vX_[4877] * vX_[651] + vX_[4873] * vX_[387] + vX_[4833] * vX_[601] +
+ vX_[4831] * vX_[603] + vX_[4570] * vX_[631] + vX_[560] * vX_[545] + vX_[9208] * vX_[598] +
+ vX_[5218] * x_in[22] + vX_[4235] * x_in[19] +
+ (vX_[5415] * vX_[5604] + vX_[5429] * vX_[1400] + vX_[4381] * vX_[367] + vX_[5218] * x_in[20]) * 0.3735 -
+ (vX_[5417] * vX_[4885] + vX_[5439] * vX_[1279] + vX_[4448] * x_in[23]) +
+ (vX_[5417] * vX_[4518] + vX_[5424] * vX_[1279] + vX_[4448] * x_in[19]) * 0.3735 +
+ (vX_[5417] * vX_[4368] + vX_[5455] * vX_[1279] + vX_[4549] * vX_[543] + vX_[4414] * vX_[597] +
+ vX_[3611] * vX_[380] + vX_[4434] * vX_[382] + vX_[4490] * vX_[353] + vX_[4447] * vX_[362] +
+ vX_[6663] * vX_[365] + vX_[6662] * vX_[381] + vX_[4417] * vX_[370] + vX_[5762] * vX_[541] +
+ vX_[4414] * vX_[594] + vX_[5358] * vX_[324] + vX_[3990] * vX_[548] + vX_[4448] * x_in[18]) *
+ 0.207 -
+ (vX_[5423] * vX_[5604] + vX_[5429] * vX_[1574] + vX_[3994] * vX_[710] + vX_[5771] * vX_[686] +
+ vX_[3989] * vX_[353] + vX_[5603] * vX_[694] + vX_[2192] * vX_[652] + vX_[2100] * vX_[388] +
+ vX_[4430] * vX_[678] + vX_[4421] * vX_[653] + vX_[4459] * vX_[596] + vX_[4452] * vX_[377] +
+ vX_[4308] * vX_[600] + vX_[4515] * vX_[630] + vX_[4535] * vX_[598] + vX_[4222] * vX_[549] +
+ vX_[4381] * vX_[368] + vX_[4450] * x_in[20]) +
+ vX_[5617] * vX_[2045] + vX_[5653] * vX_[1435] + vX_[2900] * vX_[275] + vX_[5242] * vX_[275] * 0.35 +
+ vX_[5664] * 0.3735 + vX_[5631] * 0.35 + vX_[5631] * vX_[303] * 0.08 + vX_[5631] * vX_[275] * -0.3735 +
+ vX_[4443] * vX_[303] * 0.3735 + vX_[2871] * vX_[275] * -0.08 + vX_[1663] * vX_[303] * -0.207 +
+ vX_[4444] * vX_[303] * 0.3735 + vX_[4444] * vX_[275] * 0.08 + vX_[2887] * 0.35 +
+ vX_[2887] * vX_[303] * 0.08 + vX_[2887] * vX_[275] * -0.3735 +
+ (vX_[4174] * vX_[275] + vX_[5032] * vX_[275]) * 0.207 + vX_[5002] * vX_[303] * 0.207 +
+ vX_[4141] * vX_[303] + vX_[4463] * vX_[275] + (0 - vX_[5656]) * 0.08 + vX_[5644] * vX_[303] * 0.35 +
+ vX_[2911] * vX_[303] * 0.33 + vX_[5627] * vX_[275] * 0.33 + (0 - vX_[6106]) * 0.08 +
+ vX_[6616] * vX_[303] * 0.35 + vX_[3758] * vX_[303] * 0.33 + vX_[4049] * vX_[275] * 0.33 +
+ vX_[5635] * vX_[275] * 0.33 + vX_[4438] * vX_[303] * 0.33 + vX_[4405] * vX_[275] * 0.35 +
+ vX_[4402] * vX_[303] * 0.33 + vX_[2867] * 0.08 + vX_[2867] * vX_[303] * 0.35 +
+ (vX_[2864] * vX_[275] + vX_[2895] * vX_[303]) * 0.33 + vX_[2885] * vX_[275] * -0.33 +
+ (0 - vX_[2874]) * 0.08 + vX_[5794] * vX_[303] * 0.35 + vX_[5788] * vX_[303] * 0.33 +
+ vX_[5362] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[5415] * vX_[4885] + vX_[5417] * vX_[4013] + vX_[5421] * vX_[5604] + vX_[5423] * vX_[4518] +
+ vX_[5439] * vX_[1400] + vX_[5437] * vX_[1279] + vX_[5429] * vX_[1580] + vX_[5424] * vX_[1574] +
+ vX_[3994] * vX_[713] + vX_[5245] * vX_[709] + vX_[2509] * vX_[710] + vX_[5771] * vX_[370] +
+ vX_[4863] * vX_[686] + vX_[3989] * vX_[693] + vX_[5352] * vX_[353] + vX_[2443] * vX_[694] +
+ vX_[4853] * vX_[678] + vX_[2192] * vX_[655] + vX_[2100] * vX_[378] + vX_[4879] * vX_[388] +
+ vX_[4430] * vX_[677] + vX_[1998] * vX_[652] + vX_[4421] * vX_[654] + vX_[4459] * vX_[651] +
+ vX_[4880] * vX_[653] + vX_[4877] * vX_[596] + vX_[4452] * vX_[387] + vX_[4873] * vX_[377] +
+ vX_[4308] * vX_[603] + vX_[4833] * vX_[599] + vX_[4831] * vX_[600] + vX_[4515] * vX_[631] +
+ vX_[4830] * vX_[630] + vX_[4535] * vX_[545] + vX_[4546] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[4381] * vX_[366] +
+ (vX_[4487] * vX_[595] + vX_[4411] * vX_[333] + vX_[5368] * vX_[382] + vX_[6357] * vX_[357] +
+ vX_[4399] * vX_[371] + vX_[3986] * vX_[356] + vX_[4412] * vX_[365] + vX_[3987] * vX_[353] +
+ vX_[4536] * vX_[370] + vX_[5530] * vX_[381] + vX_[4487] * vX_[591] + vX_[4419] * vX_[540] +
+ vX_[5368] * vX_[386] + vX_[4399] * vX_[537]) *
+ 0.207 +
+ vX_[5218] * x_in[23] + vX_[4448] * x_in[22] + vX_[4235] * x_in[20] + vX_[4450] * x_in[19] +
+ (vX_[5415] * vX_[4518] + vX_[5424] * vX_[1400] + vX_[4381] * vX_[354] + vX_[5218] * x_in[19]) * -0.3735 +
+ (vX_[5415] * vX_[4368] + vX_[5455] * vX_[1400] + vX_[5218] * x_in[18]) * -0.207 +
+ (vX_[5417] * vX_[5604] + vX_[5429] * vX_[1279] + vX_[4448] * x_in[20]) * 0.3735 + vX_[5661] * vX_[2050] +
+ vX_[5637] * vX_[2047] - vX_[4048] * vX_[303] + vX_[4023] * vX_[303] + (0 - vX_[5632]) * 0.3735 +
+ vX_[5632] * vX_[275] * 0.35 + (0 - vX_[5649]) * 0.207 + vX_[4022] * 0.35 + vX_[4022] * vX_[303] * 0.08 +
+ vX_[4022] * vX_[275] * -0.3735 + vX_[4029] * vX_[303] * 0.3735 + (0 - vX_[4028] * vX_[275]) * 0.08 -
+ vX_[4939] * vX_[303] + vX_[4948] * vX_[303] * 0.3735 + vX_[4948] * vX_[275] * 0.08 + vX_[4797] * 0.35 +
+ vX_[4797] * vX_[303] * 0.08 + vX_[4797] * vX_[275] * -0.3735 + vX_[4960] * vX_[275] + vX_[4870] * vX_[303] +
+ vX_[5652] * 0.08 + vX_[5652] * vX_[303] * 0.35 + vX_[5643] * vX_[303] * 0.33 + vX_[4033] * 0.08 +
+ vX_[4033] * vX_[303] * 0.35 + vX_[4036] * vX_[275] * -0.33 + vX_[4975] * 0.08 +
+ vX_[4975] * vX_[303] * 0.35 + vX_[4035] * vX_[275] * 0.33 + vX_[4046] * vX_[303] * -0.33 +
+ vX_[4009] * vX_[275] * 0.35 + (vX_[5240] * vX_[303] + vX_[5344] * vX_[275]) * 0.33 +
+ (vX_[5408] * vX_[275] + vX_[3649] * vX_[303]) * -0.33 + vX_[4014] * 0.08 + vX_[4014] * vX_[303] * 0.35 +
+ vX_[5253] * vX_[303] * 0.33 + vX_[5313] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[5664] = vX_[5440] - vX_[5873];
+ vX_[3994] = vX_[5867] + vX_[827];
+ vX_[6357] = vX_[5862] + vX_[2029];
+ vX_[3611] = 0 - vX_[6357];
+ vX_[4381] = vX_[5664] * vX_[273];
+ vX_[4411] = vX_[5664] * vX_[354];
+ vX_[4421] = vX_[5864] + vX_[992];
+ vX_[4549] = vX_[1181] + vX_[921];
+ vX_[4830] = vX_[5863] + vX_[833];
+ vX_[4515] = vX_[5854] + vX_[5874];
+ vX_[4459] = vX_[4515] * vX_[354] + vX_[4830] * vX_[273];
+ vX_[4430] = vX_[4515] * vX_[367] + vX_[4830] * vX_[354];
+ vX_[4434] = vX_[1548] + vX_[910];
+ vX_[4452] = 0 - (vX_[5861] + vX_[5872]) + vX_[4434];
+ vX_[4546] = vX_[1238] - vX_[5878];
+ vX_[4222] = vX_[5857] + vX_[3743];
+ vX_[4535] = vX_[9100] + vX_[939];
+ vX_[4308] = 0 - vX_[4535];
+ vX_[9208] = vX_[4546] * vX_[273];
+ vX_[560] = vX_[4546] * vX_[354];
+ vX_[4570] = vX_[6058] * 0.881 + (0 - vX_[6060]) * 0.0004405 + vX_[6062] * -8.81e-05;
+ vX_[4831] = vX_[6056] * -0.881;
+ vX_[4833] = vX_[6060] * 0.1104774;
+ vX_[4873] = vX_[6064] * -8.81e-05;
+ vX_[2100] = vX_[4831] - vX_[4833] + vX_[4873];
+ vX_[4877] = vX_[4570] * vX_[1241] + vX_[2100] * vX_[1342];
+ vX_[4880] = vX_[6048] * 3.146 + (0 - vX_[6055]) * -0.0825825;
+ vX_[2192] = vX_[6047] * -3.146;
+ vX_[1998] = vX_[6055] * 0.47422804;
+ vX_[4879] = vX_[2192] - vX_[1998];
+ vX_[4853] = vX_[4877] + vX_[4880] * vX_[1547] + vX_[4879] * vX_[1616];
+ vX_[2509] = vX_[6035] * 3.44 + vX_[6038] * -0.5824264;
+ vX_[5245] = 0 - vX_[2509];
+ vX_[5661] = vX_[6026] * 3.44 + (0 - vX_[6038]) * 0.1466472;
+ vX_[5653] = vX_[5846] + vX_[6026] * vX_[370] + vX_[6002] * vX_[353] + vX_[6035] * vX_[362] + vX_[6038] * vX_[541] +
+ vX_[6040] * vX_[594];
+ vX_[5637] = vX_[4853] + vX_[5245] * vX_[1026] + vX_[5661] * vX_[1130] + vX_[5653] * x_in[27];
+ vX_[5617] = 0 - vX_[4570];
+ vX_[4873] = 0 - vX_[4831] + vX_[4833] - vX_[4873];
+ vX_[4833] = vX_[6045] * 0.0004405 + vX_[6056] * -8.81e-05 + vX_[6064] * -0.000227999999999999;
+ vX_[4831] = vX_[6045] * 0.1104774 + vX_[6058] * -8.81e-05 + (0 - vX_[6062]) * 0.025713;
+ vX_[5423] = (0 - vX_[6056]) * 0.0004405;
+ vX_[5421] = (0 - vX_[6058]) * 0.1104774;
+ vX_[5417] = vX_[5423] + vX_[5421];
+ vX_[5417] = vX_[5617] * vX_[2058] + vX_[4873] * vX_[1455] + vX_[4833] * vX_[1241] + vX_[4831] * vX_[1342] +
+ vX_[5417] * vX_[1465] + vX_[5417] * vX_[1465];
+ vX_[5415] = vX_[6045] * 0.881 + (0 - vX_[6062]) * 0.1104774 + vX_[6064] * 0.0004405;
+ vX_[3617] = vX_[6056] * 0.00185880198235362 + vX_[6058] * 0.880992588508842 + vX_[6062] * -8.81e-05;
+ vX_[5617] = vX_[5617] * vX_[1465] + vX_[5415] * vX_[1342] + vX_[3617] * x_in[29];
+ vX_[4037] = 0 - vX_[5415];
+ vX_[5356] = vX_[6056] * 0.414812462825713 + vX_[6058] * 0.00185880198235362 + vX_[6064] * 8.81e-05;
+ vX_[4873] = vX_[4873] * vX_[1465] + vX_[4037] * vX_[1241] - vX_[5356] * x_in[29];
+ vX_[4020] = 0 - vX_[4880];
+ vX_[1998] = 0 - vX_[2192] + vX_[1998];
+ vX_[2192] = vX_[6043] * -0.0825825 + (0 - vX_[6055]) * 0.000102 + vX_[6044] * 0.007418 + vX_[6053] * 0.002735;
+ vX_[3997] = vX_[6043] * 0.47422804 + vX_[6055] * 2.1e-05 + (0 - vX_[6044]) * 0.084376 + (0 - vX_[6053]) * 0.007418;
+ vX_[5411] = (0 - vX_[6047]) * -0.0825825;
+ vX_[4032] = (0 - vX_[6048]) * 0.47422804;
+ vX_[4017] = vX_[6044] * 0.000102;
+ vX_[4019] = (0 - vX_[6053]) * 2.1e-05;
+ vX_[4031] = vX_[5411] + vX_[4032] + vX_[4017] + vX_[4019];
+ vX_[4031] = vX_[5417] + vX_[5617] * vX_[1388] + vX_[4873] * vX_[282] + vX_[4020] * vX_[1460] +
+ vX_[1998] * vX_[1116] + vX_[2192] * vX_[1547] + vX_[3997] * vX_[1616] + vX_[4031] * vX_[1109] +
+ vX_[4031] * vX_[1109];
+ vX_[4015] = vX_[6043] * 3.146 + (0 - vX_[6044]) * 0.47422804 + vX_[6053] * -0.0825825;
+ vX_[4044] = vX_[5844] + vX_[6047] * vX_[330] + vX_[6048] * vX_[329] + vX_[6044] * vX_[308] + vX_[6053] * vX_[302];
+ vX_[4020] = vX_[5617] * vX_[277] + vX_[4873] * vX_[279] + vX_[4020] * vX_[1109] + vX_[4015] * vX_[1616] +
+ vX_[4044] * x_in[28];
+ vX_[4043] = 0 - vX_[4015];
+ vX_[5383] = vX_[5842] + vX_[6047] * vX_[328] + vX_[6048] * vX_[330] + vX_[6044] * vX_[314] + vX_[6053] * vX_[313];
+ vX_[1998] = vX_[5617] * vX_[1380] + vX_[4873] * vX_[277] + vX_[1998] * vX_[1109] + vX_[4043] * vX_[1547] -
+ vX_[5383] * x_in[28];
+ vX_[5347] = 0 - vX_[5661];
+ vX_[5394] = vX_[6002] * -0.5824264 + (0 - vX_[6042]) * 0.022734 + vX_[6038] * 3.6e-05 + vX_[6040] * -0.133138;
+ vX_[5404] = vX_[6002] * 0.1466472 + vX_[6042] * 0.009466 + (0 - vX_[6038]) * -5.1e-05 + vX_[6040] * 0.022734;
+ vX_[4001] = (0 - vX_[6026]) * -0.5824264;
+ vX_[4006] = (0 - vX_[6035]) * 0.1466472;
+ vX_[4000] = (0 - vX_[6042]) * 3.6e-05;
+ vX_[3999] = (0 - vX_[6040]) * -5.1e-05;
+ vX_[3996] = vX_[4001] + vX_[4006] + vX_[4000] - vX_[3999];
+ vX_[3995] = vX_[5852] + vX_[6026] * vX_[386] + vX_[6002] * vX_[540] + vX_[6035] * vX_[594] + vX_[6038] * vX_[593] +
+ vX_[6040] * vX_[350];
+ vX_[3996] = vX_[4031] + vX_[4020] * vX_[1376] + vX_[1998] * vX_[321] + vX_[2509] * vX_[1767] +
+ vX_[5347] * vX_[1126] + vX_[5394] * vX_[1026] + vX_[5404] * vX_[1130] + vX_[3996] * vX_[1274] +
+ vX_[3996] * vX_[1274] + vX_[3995] * x_in[27];
+ vX_[4005] = vX_[5447] - vX_[5878];
+ vX_[4004] = vX_[4005] * vX_[354] + vX_[4222] * vX_[273];
+ vX_[4003] = vX_[4005] * vX_[367] + vX_[4222] * vX_[354];
+ vX_[4002] = vX_[4003] + vX_[9208];
+ vX_[3596] = vX_[4004] * vX_[367] + vX_[4002] * vX_[354] + vX_[560] * vX_[273];
+ vX_[7100] = 0 - vX_[3596];
+ vX_[7376] = vX_[5878] + vX_[4004] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[7435] = 0 - vX_[7376];
+ vX_[7471] = vX_[5878] + vX_[4003] * vX_[367] + vX_[560] * vX_[354];
+ vX_[3363] = vX_[5860] + vX_[5871] - vX_[4549];
+ vX_[6535] = vX_[4434] * vX_[354] + vX_[4549] * vX_[273];
+ vX_[3205] = 0 - (vX_[3363] * vX_[367] + vX_[4452] * vX_[354]) + vX_[6535];
+ vX_[7470] = vX_[3205] + vX_[7376] * vX_[355];
+ vX_[7422] = 0 - vX_[7470];
+ vX_[7502] = vX_[4434] * vX_[367] + vX_[4549] * vX_[354];
+ vX_[6457] = vX_[3363] * vX_[354] + vX_[4452] * vX_[273] + vX_[7502];
+ vX_[6614] = 0 - vX_[7471];
+ vX_[6231] = vX_[6457] + vX_[3596] * vX_[355] + vX_[6614] * vX_[274];
+ vX_[3594] = vX_[5859] + vX_[912];
+ vX_[3598] = vX_[4421] * vX_[354] + vX_[3594] * vX_[367];
+ vX_[6653] = vX_[3598] * vX_[354] + vX_[4430] * vX_[273];
+ vX_[3593] = vX_[5837] + vX_[5710];
+ vX_[4535] = 0 - vX_[4535];
+ vX_[6530] = vX_[3593] * vX_[367] + vX_[4535] * vX_[354];
+ vX_[3365] = 0 - vX_[6530];
+ vX_[6161] = vX_[6653] + vX_[3365] * vX_[274] + vX_[7435] * vX_[369];
+ vX_[6462] = 0 - vX_[6161];
+ vX_[6233] = vX_[4421] * vX_[273] + vX_[3594] * vX_[354];
+ vX_[6776] = vX_[6233] * vX_[367] + vX_[4459] * vX_[354];
+ vX_[7487] = vX_[3593] * vX_[354] + vX_[4308] * vX_[273];
+ vX_[7436] = 0 - vX_[7487];
+ vX_[3362] = vX_[6776] + vX_[7436] * vX_[355] + vX_[7471] * vX_[369];
+ vX_[3653] = vX_[6233] * vX_[354] + vX_[4459] * vX_[273];
+ vX_[6650] = vX_[3653] + vX_[6530] * vX_[355];
+ vX_[6229] = vX_[3598] * vX_[367] + vX_[4430] * vX_[354];
+ vX_[6224] = vX_[6229] + vX_[7487] * vX_[274] + vX_[7100] * vX_[369];
+ vX_[3590] = 0 - vX_[6650] + vX_[6224];
+ vX_[3591] = 0 - vX_[3596];
+ vX_[3652] = 0 - vX_[7376];
+ vX_[7435] = vX_[7100] * vX_[597] + vX_[7435] * vX_[543] + vX_[7471] * vX_[333] + vX_[7422] * vX_[370] +
+ vX_[6231] * vX_[381] + vX_[6462] * vX_[362] + vX_[3362] * vX_[356] + vX_[3590] * vX_[353] +
+ vX_[3591] * vX_[594] + vX_[3596] * vX_[591] + vX_[3652] * vX_[542] + vX_[7471] * vX_[546];
+ vX_[7100] = vX_[6002] * -3.44;
+ vX_[3627] = vX_[6042] * 0.1466472;
+ vX_[3626] = vX_[6040] * -0.5824264;
+ vX_[3632] = 0 - vX_[7100] + vX_[3627] - vX_[3626];
+ vX_[3633] = vX_[5840] + vX_[6026] * vX_[381] + vX_[6002] * vX_[356] + vX_[6035] * vX_[353] + vX_[6038] * vX_[591] +
+ vX_[6040] * vX_[540];
+ vX_[5347] = vX_[4020] * vX_[1375] + vX_[1998] * vX_[303] + vX_[3632] * vX_[1026] + vX_[5347] * vX_[1274] -
+ vX_[3633] * x_in[27];
+ vX_[5806] = vX_[5447] + vX_[1238] + vX_[5878] - vX_[7376] - vX_[7471];
+ vX_[5809] = 0 - vX_[5806];
+ vX_[6535] = vX_[6535] + vX_[5809] * vX_[355];
+ vX_[7502] = vX_[7502] + vX_[5806] * vX_[274];
+ vX_[5808] = 0 - vX_[6231];
+ vX_[5816] = 0 - vX_[3362];
+ vX_[5813] = vX_[836] + vX_[935] + vX_[3594] + vX_[4830] - vX_[3653] - vX_[6229];
+ vX_[6224] = vX_[5813] - vX_[6224];
+ vX_[5827] = 0 - vX_[6530];
+ vX_[5829] = 0 - vX_[3596];
+ vX_[5941] = 0 - vX_[7471];
+ vX_[3637] = vX_[3726] - vX_[5873];
+ vX_[3640] = vX_[5865] + vX_[2038];
+ vX_[5955] = vX_[3637] * vX_[354] + vX_[3994] * vX_[273];
+ vX_[6015] = vX_[3637] * vX_[367] + vX_[3994] * vX_[354];
+ vX_[6060] = vX_[6056] * 0.1104774 + vX_[6058] * 0.0004405 + vX_[6060] * 0.025941;
+ vX_[3651] = (0 - vX_[6045]) * -8.81e-05;
+ vX_[5421] = vX_[3651] + vX_[5421];
+ vX_[6064] = vX_[6045] * 0.0004405 + vX_[6056] * 8.81e-05 + vX_[6064] * 0.000468;
+ vX_[5421] = vX_[4570] * vX_[1309] + vX_[4037] * vX_[1455] + vX_[4833] * vX_[1465] + vX_[6060] * vX_[1342] +
+ vX_[5421] * vX_[1241] + vX_[5421] * vX_[1241] + vX_[6064] * x_in[29];
+ vX_[3651] = vX_[3651] + vX_[5423];
+ vX_[6062] = vX_[6045] * -0.1104774 + vX_[6058] * -8.81e-05 + vX_[6062] * 0.026409;
+ vX_[3651] = vX_[2100] * vX_[1309] + vX_[5415] * vX_[2058] + vX_[4831] * vX_[1465] + vX_[6060] * vX_[1241] +
+ vX_[3651] * vX_[1342] + vX_[3651] * vX_[1342] - vX_[6062] * x_in[29];
+ vX_[6060] = vX_[6047] * 0.47422804 + vX_[6048] * -0.0825825 + vX_[6055] * 0.081641 + (0 - vX_[6044]) * 2.1e-05 +
+ vX_[6053] * 0.000102;
+ vX_[5415] = (0 - vX_[6055]) * 0.007418;
+ vX_[4019] = vX_[4032] + vX_[5415] - vX_[4019];
+ vX_[4032] = vX_[5836] + vX_[6043] * vX_[297] + vX_[6047] * vX_[313] + vX_[6048] * vX_[302] + vX_[6044] * vX_[345] +
+ vX_[6053] * vX_[341];
+ vX_[4019] = vX_[4877] * -0.35 + vX_[5421] * vX_[277] + vX_[3651] * vX_[279] + vX_[4880] * vX_[1551] +
+ vX_[4043] * vX_[1116] + vX_[2192] * vX_[1109] + vX_[6060] * vX_[1616] + vX_[4019] * vX_[1547] +
+ vX_[4019] * vX_[1547] + vX_[4032] * x_in[28];
+ vX_[5415] = vX_[5411] - vX_[5415] - vX_[4017];
+ vX_[4017] = vX_[5834] + vX_[6043] * vX_[310] + vX_[6047] * vX_[314] + vX_[6048] * vX_[308] + vX_[6044] * vX_[339] +
+ vX_[6053] * vX_[345];
+ vX_[5415] = vX_[5421] * vX_[280] + vX_[3651] * vX_[277] + vX_[4879] * vX_[1551] + vX_[4015] * vX_[1460] +
+ vX_[3997] * vX_[1109] + vX_[6060] * vX_[1547] + vX_[5415] * vX_[1616] + vX_[5415] * vX_[1616] -
+ vX_[4017] * x_in[28];
+ vX_[3626] = vX_[7100] - vX_[3627] + vX_[3626];
+ vX_[3627] = vX_[6026] * 0.1466472 + vX_[6035] * -0.5824264 + vX_[6042] * -5.1e-05 + (0 - vX_[6038]) * -0.123672 +
+ (0 - vX_[6040]) * 3.6e-05;
+ vX_[7100] = vX_[6038] * 0.022734;
+ vX_[4000] = vX_[4001] - vX_[4000] - vX_[7100];
+ vX_[4001] = vX_[5850] + vX_[6026] * vX_[324] + vX_[6002] * vX_[591] + vX_[6035] * vX_[541] + vX_[6038] * vX_[539] +
+ vX_[6040] * vX_[593];
+ vX_[4000] = vX_[4019] * vX_[276] + vX_[5415] * vX_[303] + vX_[3626] * vX_[1767] + vX_[5661] * vX_[1777] +
+ vX_[3627] * vX_[1026] + vX_[5404] * vX_[1274] + vX_[4000] * vX_[1130] + vX_[4000] * vX_[1130] -
+ vX_[4001] * x_in[27];
+ vX_[6091] = vX_[6091] * vX_[2050];
+ vX_[6092] = vX_[6092] * vX_[2050];
+ vX_[5404] = vX_[6091] * vX_[277] + vX_[6092] * vX_[279];
+ vX_[6093] = vX_[6093] * vX_[2050];
+ vX_[5661] = 0 - vX_[6093];
+ vX_[6063] = vX_[6063] * vX_[2045];
+ vX_[6060] = vX_[6063] * vX_[277];
+ vX_[4015] = vX_[6063] * vX_[279];
+ vX_[3997] = 0 - vX_[4015];
+ vX_[6079] = vX_[6079] * vX_[2057];
+ vX_[4879] = vX_[6079] * vX_[279];
+ vX_[6065] = vX_[6065] * vX_[2045];
+ vX_[5411] = vX_[6065] * vX_[277];
+ vX_[4043] = vX_[6065] * vX_[279];
+ vX_[2192] = 0 - vX_[6079];
+ vX_[4880] = vX_[2192] * vX_[277];
+ vX_[6080] = vX_[6080] * vX_[2057];
+ vX_[4877] = 0 - vX_[6080];
+ vX_[4831] = vX_[4877] * vX_[279];
+ vX_[2100] = vX_[6080] * vX_[277];
+ vX_[6067] = vX_[6067] * vX_[2047];
+ vX_[6058] = vX_[6091] + vX_[6067];
+ vX_[6068] = vX_[6068] * vX_[2047];
+ vX_[6045] = 0 - vX_[6092] - vX_[6068];
+ vX_[5423] = vX_[6058] * vX_[279] + vX_[6045] * vX_[277];
+ vX_[4037] = vX_[6067] * vX_[277] + vX_[6068] * vX_[279];
+ vX_[6085] = vX_[6085] * vX_[2057] + vX_[6073] * vX_[2045];
+ vX_[6073] = 0 - vX_[6085];
+ vX_[4833] = 0 - vX_[6085];
+ vX_[4570] = vX_[4833] * vX_[277];
+ vX_[6056] = vX_[6085] * vX_[279];
+ vX_[3639] = vX_[6086] * vX_[1520] + vX_[6220] * vX_[1470] + vX_[6223] * vX_[1504];
+ vX_[3650] = 0 - vX_[3639];
+ vX_[6087] = vX_[6086] * vX_[1606] + vX_[6220] * vX_[1505] + vX_[6223] * vX_[1464];
+ vX_[3613] = vX_[3650] * x_in[18] + vX_[6087] * x_in[19];
+ vX_[6160] = 0 - vX_[3613];
+ vX_[3724] = 0 - vX_[3613];
+ vX_[6001] = vX_[3724] * vX_[277];
+ vX_[6389] = vX_[3613] * vX_[1473];
+ vX_[6086] = vX_[6086] * vX_[1502] + vX_[6220] * vX_[1521] + vX_[6223] * vX_[1607];
+ jac[1036] = vX_[5383] * vX_[1000] + vX_[4044] * vX_[1460] + vX_[4017] * vX_[1149] + vX_[4032] * vX_[1547] +
+ vX_[4031] + vX_[6086] * vX_[1526] + vX_[3639] * vX_[1477] + vX_[6087] * vX_[1511];
+ jac[1072] = vX_[5356] * vX_[2052] + vX_[3617] * vX_[2058] + vX_[6062] * vX_[1609] + vX_[6064] * vX_[1241] +
+ vX_[5417] + vX_[6086] * vX_[1535] + vX_[3639] * vX_[1488] + vX_[6087] * vX_[1508];
+ vX_[6062] = vX_[6086] * x_in[29];
+ vX_[6064] = vX_[6062] * vX_[277];
+ vX_[5356] = vX_[6062] * vX_[1473];
+ vX_[3617] = vX_[6086] * x_in[28];
+ vX_[5417] = vX_[3617] * vX_[1473];
+ vX_[4017] = vX_[3639] * x_in[27];
+ vX_[4032] = vX_[3617] * vX_[277];
+ vX_[5383] = vX_[4017] * vX_[277];
+ vX_[4044] = vX_[4017] * vX_[1473];
+ vX_[4031] = vX_[6097] * vX_[1563];
+ vX_[6223] = 0 - vX_[4031];
+ vX_[6220] = 0 - vX_[4031];
+ vX_[3243] = vX_[6220] * vX_[277];
+ vX_[3618] = vX_[4031] * vX_[1473];
+ vX_[6357] = 0 - vX_[6357];
+ vX_[6191] = vX_[6015] + vX_[4381];
+ vX_[6182] = 0 - vX_[6535];
+ vX_[3211] = 0 - vX_[7502];
+ vX_[5813] = 0 - vX_[5813] + vX_[6650];
+ vX_[6650] = 0 - vX_[7487];
+ vX_[6057] = vX_[6057] * vX_[2045];
+ vX_[3641] = vX_[6057] * vX_[279];
+ vX_[6059] = vX_[6059] * vX_[2045];
+ vX_[6217] = vX_[6059] * vX_[277];
+ vX_[6061] = vX_[6061] * vX_[2045];
+ vX_[6078] = vX_[6078] * vX_[2057];
+ vX_[6094] = vX_[6094] * vX_[2050];
+ vX_[3624] = vX_[6094] * vX_[277];
+ vX_[3601] = vX_[6094] * vX_[279];
+ vX_[6444] = 0 - vX_[3601];
+ vX_[6083] = vX_[6083] * vX_[1435];
+ vX_[3636] = vX_[6083] * vX_[279];
+ vX_[6095] = vX_[6095] * vX_[2050];
+ vX_[3621] = vX_[6095] * vX_[277];
+ vX_[3623] = vX_[6095] * vX_[279];
+ vX_[3635] = 0 - vX_[6057] - vX_[6083];
+ vX_[6084] = vX_[6084] * vX_[1435];
+ vX_[3619] = 0 - vX_[6059] - vX_[6084];
+ vX_[3648] = vX_[3635] * vX_[277] + vX_[3619] * vX_[279];
+ vX_[3647] = vX_[6084] * vX_[277];
+ vX_[6081] = vX_[6081] * vX_[2057] + vX_[6072] * vX_[2050];
+ vX_[6072] = vX_[6081] * vX_[277];
+ vX_[6250] = 0 - vX_[6087];
+ vX_[6214] = vX_[6086] * x_in[18] + vX_[6250] * x_in[20];
+ vX_[6370] = vX_[6214] * vX_[1473];
+ vX_[6384] = vX_[6086] * x_in[27];
+ vX_[3605] = vX_[3639] * x_in[29];
+ vX_[3610] = 0 - vX_[3605];
+ vX_[3604] = vX_[3610] * vX_[277];
+ vX_[3603] = vX_[3605] * vX_[1473];
+ vX_[3600] = vX_[3639] * x_in[28];
+ vX_[3599] = 0 - vX_[3600];
+ vX_[3609] = vX_[6384] * vX_[277];
+ vX_[3608] = 0 - vX_[3600];
+ vX_[3607] = vX_[3608] * vX_[277];
+ vX_[3606] = vX_[6384] * vX_[1473];
+ vX_[3190] = vX_[3600] * vX_[1473];
+ vX_[8062] = vX_[6097] * vX_[1556];
+ vX_[8304] = vX_[6214] * vX_[277] + vX_[8062] * vX_[277];
+ vX_[8313] = vX_[6081] * vX_[279] + vX_[8062] * vX_[1473];
+ jac[352] =
+ 0 -
+ (vX_[5840] * vX_[4013] + vX_[5850] * vX_[4518] + vX_[5866] * vX_[1400] + vX_[5853] * vX_[1580] +
+ vX_[5664] * vX_[711] + vX_[3994] * vX_[713] + vX_[3611] * vX_[370] + vX_[4381] * vX_[693] +
+ vX_[4411] * vX_[353] + vX_[4421] * vX_[677] + vX_[4549] * vX_[378] + vX_[4830] * vX_[655] +
+ vX_[4459] * vX_[654] + vX_[4430] * vX_[651] + vX_[4452] * vX_[387] + vX_[4546] * vX_[601] +
+ vX_[4222] * vX_[603] + vX_[4308] * vX_[631] + vX_[9208] * vX_[545] + vX_[560] * vX_[598] +
+ vX_[5637] * x_in[22] + vX_[3996] * x_in[19] +
+ (vX_[5840] * vX_[5604] + vX_[5858] * vX_[1400] + vX_[7435] * vX_[367] + vX_[5637] * x_in[20]) * 0.3735 -
+ (vX_[5846] * vX_[4885] + vX_[5868] * vX_[1279] + vX_[5347] * x_in[23]) +
+ (vX_[5846] * vX_[4518] + vX_[5853] * vX_[1279] + vX_[5347] * x_in[19]) * 0.3735 +
+ (vX_[5846] * vX_[4368] + vX_[5884] * vX_[1279] + vX_[3365] * vX_[543] + vX_[7487] * vX_[597] +
+ vX_[5806] * vX_[380] + vX_[6614] * vX_[382] + vX_[6535] * vX_[353] + vX_[7502] * vX_[362] +
+ vX_[5808] * vX_[365] + vX_[5816] * vX_[381] + vX_[6224] * vX_[370] + vX_[5827] * vX_[541] +
+ vX_[7487] * vX_[594] + vX_[5829] * vX_[324] + vX_[5941] * vX_[548] + vX_[5347] * x_in[18]) *
+ 0.207 -
+ (vX_[5852] * vX_[5604] + vX_[5858] * vX_[1574] + vX_[3637] * vX_[710] + vX_[3640] * vX_[686] +
+ vX_[5955] * vX_[353] + vX_[6015] * vX_[694] + vX_[4515] * vX_[652] + vX_[4434] * vX_[388] +
+ vX_[3594] * vX_[678] + vX_[6233] * vX_[653] + vX_[3598] * vX_[596] + vX_[3363] * vX_[377] +
+ vX_[4005] * vX_[600] + vX_[3593] * vX_[630] + vX_[4004] * vX_[598] + vX_[4003] * vX_[549] +
+ vX_[7435] * vX_[368] + vX_[4000] * x_in[20]) +
+ vX_[6046] * vX_[2045] + vX_[6082] * vX_[1435] + vX_[5404] * vX_[275] + vX_[5661] * vX_[275] * 0.35 +
+ vX_[6093] * 0.3735 + vX_[6060] * 0.35 + vX_[6060] * vX_[303] * 0.08 + vX_[6060] * vX_[275] * -0.3735 +
+ vX_[3997] * vX_[303] * 0.3735 + vX_[4015] * vX_[275] * -0.08 + vX_[4879] * vX_[303] * -0.207 +
+ vX_[5411] * vX_[303] * 0.3735 + vX_[5411] * vX_[275] * 0.08 + vX_[4043] * 0.35 +
+ vX_[4043] * vX_[303] * 0.08 + vX_[4043] * vX_[275] * -0.3735 +
+ (vX_[4880] * vX_[275] + vX_[4831] * vX_[275]) * 0.207 + vX_[2100] * vX_[303] * 0.207 +
+ vX_[5423] * vX_[303] + vX_[4037] * vX_[275] + (0 - vX_[6085]) * 0.08 + vX_[6073] * vX_[303] * 0.35 +
+ vX_[4570] * vX_[303] * 0.33 + vX_[6056] * vX_[275] * 0.33 + (0 - vX_[3613]) * 0.08 +
+ vX_[6160] * vX_[303] * 0.35 + vX_[6001] * vX_[303] * 0.33 + vX_[6389] * vX_[275] * 0.33 +
+ vX_[6064] * vX_[275] * 0.33 + vX_[5356] * vX_[303] * 0.33 + vX_[3617] * vX_[275] * 0.35 +
+ vX_[5417] * vX_[303] * 0.33 + vX_[4017] * 0.08 + vX_[4017] * vX_[303] * 0.35 +
+ (vX_[4032] * vX_[275] + vX_[5383] * vX_[303]) * 0.33 + vX_[4044] * vX_[275] * -0.33 +
+ (0 - vX_[4031]) * 0.08 + vX_[6223] * vX_[303] * 0.35 + vX_[3243] * vX_[303] * 0.33 +
+ vX_[3618] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[5840] * vX_[4885] + vX_[5846] * vX_[4013] + vX_[5850] * vX_[5604] + vX_[5852] * vX_[4518] +
+ vX_[5868] * vX_[1400] + vX_[5866] * vX_[1279] + vX_[5858] * vX_[1580] + vX_[5853] * vX_[1574] +
+ vX_[3637] * vX_[713] + vX_[5664] * vX_[709] + vX_[3994] * vX_[710] + vX_[3640] * vX_[370] +
+ vX_[6357] * vX_[686] + vX_[5955] * vX_[693] + vX_[6191] * vX_[353] + vX_[4411] * vX_[694] +
+ vX_[4421] * vX_[678] + vX_[4515] * vX_[655] + vX_[4434] * vX_[378] + vX_[4549] * vX_[388] +
+ vX_[3594] * vX_[677] + vX_[4830] * vX_[652] + vX_[6233] * vX_[654] + vX_[3598] * vX_[651] +
+ vX_[4459] * vX_[653] + vX_[4430] * vX_[596] + vX_[3363] * vX_[387] + vX_[4452] * vX_[377] +
+ vX_[4005] * vX_[603] + vX_[4546] * vX_[599] + vX_[4222] * vX_[600] + vX_[3593] * vX_[631] +
+ vX_[4535] * vX_[630] + vX_[4004] * vX_[545] + vX_[4002] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[7435] * vX_[366] +
+ (vX_[6530] * vX_[595] + vX_[7436] * vX_[333] + vX_[3596] * vX_[382] + vX_[5809] * vX_[357] +
+ vX_[7376] * vX_[371] + vX_[6182] * vX_[356] + vX_[7470] * vX_[365] + vX_[3211] * vX_[353] +
+ vX_[6161] * vX_[370] + vX_[5813] * vX_[381] + vX_[6530] * vX_[591] + vX_[6650] * vX_[540] +
+ vX_[3596] * vX_[386] + vX_[7376] * vX_[537]) *
+ 0.207 +
+ vX_[5637] * x_in[23] + vX_[5347] * x_in[22] + vX_[3996] * x_in[20] + vX_[4000] * x_in[19] +
+ (vX_[5840] * vX_[4518] + vX_[5853] * vX_[1400] + vX_[7435] * vX_[354] + vX_[5637] * x_in[19]) * -0.3735 +
+ (vX_[5840] * vX_[4368] + vX_[5884] * vX_[1400] + vX_[5637] * x_in[18]) * -0.207 +
+ (vX_[5846] * vX_[5604] + vX_[5858] * vX_[1279] + vX_[5347] * x_in[20]) * 0.3735 + vX_[6090] * vX_[2050] +
+ vX_[6066] * vX_[2047] - vX_[3641] * vX_[303] + vX_[6217] * vX_[303] + (0 - vX_[6061]) * 0.3735 +
+ vX_[6061] * vX_[275] * 0.35 + (0 - vX_[6078]) * 0.207 + vX_[3624] * 0.35 + vX_[3624] * vX_[303] * 0.08 +
+ vX_[3624] * vX_[275] * -0.3735 + vX_[6444] * vX_[303] * 0.3735 + (0 - vX_[3601] * vX_[275]) * 0.08 -
+ vX_[3636] * vX_[303] + vX_[3621] * vX_[303] * 0.3735 + vX_[3621] * vX_[275] * 0.08 + vX_[3623] * 0.35 +
+ vX_[3623] * vX_[303] * 0.08 + vX_[3623] * vX_[275] * -0.3735 + vX_[3648] * vX_[275] + vX_[3647] * vX_[303] +
+ vX_[6081] * 0.08 + vX_[6081] * vX_[303] * 0.35 + vX_[6072] * vX_[303] * 0.33 + vX_[6214] * 0.08 +
+ vX_[6214] * vX_[303] * 0.35 + vX_[6370] * vX_[275] * -0.33 + vX_[6384] * 0.08 +
+ vX_[6384] * vX_[303] * 0.35 + vX_[3604] * vX_[275] * 0.33 + vX_[3603] * vX_[303] * -0.33 +
+ vX_[3599] * vX_[275] * 0.35 + (vX_[3609] * vX_[303] + vX_[3607] * vX_[275]) * 0.33 +
+ (vX_[3606] * vX_[275] + vX_[3190] * vX_[303]) * -0.33 + vX_[8062] * 0.08 + vX_[8062] * vX_[303] * 0.35 +
+ vX_[8304] * vX_[303] * 0.33 + vX_[8313] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[6093] = vX_[5869] - vX_[6302];
+ vX_[3637] = vX_[6296] + vX_[9065];
+ vX_[5809] = vX_[6291] + vX_[1764];
+ vX_[5806] = 0 - vX_[5809];
+ vX_[7435] = vX_[6093] * vX_[273];
+ vX_[7436] = vX_[6093] * vX_[354];
+ vX_[6233] = vX_[6293] + vX_[9129];
+ vX_[3365] = vX_[7920] + vX_[7913];
+ vX_[4535] = vX_[6292] + vX_[9059];
+ vX_[3593] = vX_[6283] + vX_[6303];
+ vX_[3598] = vX_[3593] * vX_[354] + vX_[4535] * vX_[273];
+ vX_[3594] = vX_[3593] * vX_[367] + vX_[4535] * vX_[354];
+ vX_[6614] = vX_[7955] + vX_[7907];
+ vX_[3363] = 0 - (vX_[6290] + vX_[6301]) + vX_[6614];
+ vX_[4002] = vX_[7934] - vX_[6307];
+ vX_[4003] = vX_[6286] + vX_[9061];
+ vX_[4004] = vX_[7896] + vX_[7899];
+ vX_[4005] = 0 - vX_[4004];
+ vX_[560] = vX_[4002] * vX_[273];
+ vX_[9208] = vX_[4002] * vX_[354];
+ vX_[4308] = vX_[6487] * 0.881 + (0 - vX_[6489]) * 0.0004405 + vX_[6491] * -8.81e-05;
+ vX_[4222] = vX_[6485] * -0.881;
+ vX_[4546] = vX_[6489] * 0.1104774;
+ vX_[4452] = vX_[6493] * -8.81e-05;
+ vX_[4434] = vX_[4222] - vX_[4546] + vX_[4452];
+ vX_[4430] = vX_[4308] * vX_[1241] + vX_[4434] * vX_[1342];
+ vX_[4459] = vX_[6477] * 3.146 + (0 - vX_[6484]) * -0.0825825;
+ vX_[4515] = vX_[6476] * -3.146;
+ vX_[4830] = vX_[6484] * 0.47422804;
+ vX_[4549] = vX_[4515] - vX_[4830];
+ vX_[4421] = vX_[4430] + vX_[4459] * vX_[1547] + vX_[4549] * vX_[1616];
+ vX_[3994] = vX_[6464] * 3.44 + vX_[6467] * -0.5824264;
+ vX_[5664] = 0 - vX_[3994];
+ vX_[6090] = vX_[6455] * 3.44 + (0 - vX_[6467]) * 0.1466472;
+ vX_[6082] = vX_[6276] + vX_[6455] * vX_[370] + vX_[6431] * vX_[353] + vX_[6464] * vX_[362] + vX_[6467] * vX_[541] +
+ vX_[6469] * vX_[594];
+ vX_[6066] = vX_[4421] + vX_[5664] * vX_[1026] + vX_[6090] * vX_[1130] + vX_[6082] * x_in[27];
+ vX_[6046] = 0 - vX_[4308];
+ vX_[4452] = 0 - vX_[4222] + vX_[4546] - vX_[4452];
+ vX_[4546] = vX_[6474] * 0.0004405 + vX_[6485] * -8.81e-05 + vX_[6493] * -0.000227999999999999;
+ vX_[4222] = vX_[6474] * 0.1104774 + vX_[6487] * -8.81e-05 + (0 - vX_[6491]) * 0.025713;
+ vX_[5852] = (0 - vX_[6485]) * 0.0004405;
+ vX_[5850] = (0 - vX_[6487]) * 0.1104774;
+ vX_[5846] = vX_[5852] + vX_[5850];
+ vX_[5846] = vX_[6046] * vX_[2058] + vX_[4452] * vX_[1455] + vX_[4546] * vX_[1241] + vX_[4222] * vX_[1342] +
+ vX_[5846] * vX_[1465] + vX_[5846] * vX_[1465];
+ vX_[5840] = vX_[6474] * 0.881 + (0 - vX_[6491]) * 0.1104774 + vX_[6493] * 0.0004405;
+ vX_[8334] =
+ 0.0168251785646079 + vX_[6485] * 0.00185880198235362 + vX_[6487] * 0.880992588508842 + vX_[6491] * -8.81e-05;
+ vX_[6046] = vX_[6046] * vX_[1465] + vX_[5840] * vX_[1342] + vX_[8334] * x_in[29];
+ vX_[2957] = 0 - vX_[5840];
+ vX_[7203] =
+ -4.21975478400367 + vX_[6485] * 0.414812462825713 + vX_[6487] * 0.00185880198235362 + vX_[6493] * 8.81e-05;
+ vX_[4452] = vX_[4452] * vX_[1465] + vX_[2957] * vX_[1241] - vX_[7203] * x_in[29];
+ vX_[2778] = 0 - vX_[4459];
+ vX_[4830] = 0 - vX_[4515] + vX_[4830];
+ vX_[4515] = vX_[6472] * -0.0825825 + (0 - vX_[6484]) * 0.000102 + vX_[6473] * 0.007418 + vX_[6482] * 0.002735;
+ vX_[8331] = vX_[6472] * 0.47422804 + vX_[6484] * 2.1e-05 + (0 - vX_[6473]) * 0.084376 + (0 - vX_[6482]) * 0.007418;
+ vX_[8369] = (0 - vX_[6476]) * -0.0825825;
+ vX_[2369] = (0 - vX_[6477]) * 0.47422804;
+ vX_[7453] = vX_[6473] * 0.000102;
+ vX_[7485] = (0 - vX_[6482]) * 2.1e-05;
+ vX_[7098] = vX_[8369] + vX_[2369] + vX_[7453] + vX_[7485];
+ vX_[7098] = vX_[5846] + vX_[6046] * vX_[1388] + vX_[4452] * vX_[282] + vX_[2778] * vX_[1460] +
+ vX_[4830] * vX_[1116] + vX_[4515] * vX_[1547] + vX_[8331] * vX_[1616] + vX_[7098] * vX_[1109] +
+ vX_[7098] * vX_[1109];
+ vX_[3188] = vX_[6472] * 3.146 + (0 - vX_[6473]) * 0.47422804 + vX_[6482] * -0.0825825;
+ vX_[3192] = vX_[6274] + vX_[6476] * vX_[330] + vX_[6477] * vX_[329] + vX_[6473] * vX_[308] + vX_[6482] * vX_[302];
+ vX_[2778] = vX_[6046] * vX_[277] + vX_[4452] * vX_[279] + vX_[2778] * vX_[1109] + vX_[3188] * vX_[1616] +
+ vX_[3192] * x_in[28];
+ vX_[7521] = 0 - vX_[3188];
+ vX_[3187] = vX_[6272] + vX_[6476] * vX_[328] + vX_[6477] * vX_[330] + vX_[6473] * vX_[314] + vX_[6482] * vX_[313];
+ vX_[4830] = vX_[6046] * vX_[1380] + vX_[4452] * vX_[277] + vX_[4830] * vX_[1109] + vX_[7521] * vX_[1547] -
+ vX_[3187] * x_in[28];
+ vX_[7466] = 0 - vX_[6090];
+ vX_[2959] = vX_[6431] * -0.5824264 + (0 - vX_[6471]) * 0.022734 + vX_[6467] * 3.6e-05 + vX_[6469] * -0.133138;
+ vX_[7030] = vX_[6431] * 0.1466472 + vX_[6471] * 0.009466 + (0 - vX_[6467]) * -5.1e-05 + vX_[6469] * 0.022734;
+ vX_[7437] = (0 - vX_[6455]) * -0.5824264;
+ vX_[7075] = (0 - vX_[6464]) * 0.1466472;
+ vX_[7887] = (0 - vX_[6471]) * 3.6e-05;
+ vX_[8338] = (0 - vX_[6469]) * -5.1e-05;
+ vX_[8049] = vX_[7437] + vX_[7075] + vX_[7887] - vX_[8338];
+ vX_[2956] = vX_[6281] + vX_[6455] * vX_[386] + vX_[6431] * vX_[540] + vX_[6464] * vX_[594] + vX_[6467] * vX_[593] +
+ vX_[6469] * vX_[350];
+ vX_[8049] = vX_[7098] + vX_[2778] * vX_[1376] + vX_[4830] * vX_[321] + vX_[3994] * vX_[1767] +
+ vX_[7466] * vX_[1126] + vX_[2959] * vX_[1026] + vX_[7030] * vX_[1130] + vX_[8049] * vX_[1274] +
+ vX_[8049] * vX_[1274] + vX_[2956] * x_in[27];
+ vX_[3247] = vX_[5876] - vX_[6307];
+ vX_[7520] = vX_[3247] * vX_[354] + vX_[4003] * vX_[273];
+ vX_[7102] = vX_[3247] * vX_[367] + vX_[4003] * vX_[354];
+ vX_[7094] = vX_[7102] + vX_[560];
+ vX_[3184] = vX_[7520] * vX_[367] + vX_[7094] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[3185] = 0 - vX_[3184];
+ vX_[3246] = vX_[6307] + vX_[7520] * vX_[354] + vX_[560] * vX_[273];
+ vX_[3221] = 0 - vX_[3246];
+ vX_[3220] = vX_[6307] + vX_[7102] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[3226] = vX_[6289] + vX_[6300] - vX_[3365];
+ vX_[3227] = vX_[6614] * vX_[354] + vX_[3365] * vX_[273];
+ vX_[6684] = 0 - (vX_[3226] * vX_[367] + vX_[3363] * vX_[354]) + vX_[3227];
+ vX_[6671] = vX_[6684] + vX_[3246] * vX_[355];
+ vX_[6685] = 0 - vX_[6671];
+ vX_[6790] = vX_[6614] * vX_[367] + vX_[3365] * vX_[354];
+ vX_[6789] = vX_[3226] * vX_[354] + vX_[3363] * vX_[273] + vX_[6790];
+ vX_[6808] = 0 - vX_[3220];
+ vX_[6864] = vX_[6789] + vX_[3184] * vX_[355] + vX_[6808] * vX_[274];
+ vX_[6936] = vX_[6288] + vX_[1622];
+ vX_[3231] = vX_[6233] * vX_[354] + vX_[6936] * vX_[367];
+ vX_[3234] = vX_[3231] * vX_[354] + vX_[3594] * vX_[273];
+ vX_[6953] = vX_[6267] + vX_[6139];
+ vX_[4004] = 0 - vX_[4004];
+ vX_[6935] = vX_[6953] * vX_[367] + vX_[4004] * vX_[354];
+ vX_[3245] = 0 - vX_[6935];
+ vX_[3233] = vX_[3234] + vX_[3245] * vX_[274] + vX_[3221] * vX_[369];
+ vX_[3244] = 0 - vX_[3233];
+ vX_[7031] = vX_[6233] * vX_[273] + vX_[6936] * vX_[354];
+ vX_[3207] = vX_[7031] * vX_[367] + vX_[3598] * vX_[354];
+ vX_[7024] = vX_[6953] * vX_[354] + vX_[4005] * vX_[273];
+ vX_[3318] = 0 - vX_[7024];
+ vX_[7064] = vX_[3207] + vX_[3318] * vX_[355] + vX_[3220] * vX_[369];
+ vX_[7364] = vX_[7031] * vX_[354] + vX_[3598] * vX_[273];
+ vX_[2816] = vX_[7364] + vX_[6935] * vX_[355];
+ vX_[3212] = vX_[3231] * vX_[367] + vX_[3594] * vX_[354];
+ vX_[7033] = vX_[3212] + vX_[7024] * vX_[274] + vX_[3185] * vX_[369];
+ vX_[7052] = 0 - vX_[2816] + vX_[7033];
+ vX_[2784] = 0 - vX_[3184];
+ vX_[3235] = 0 - vX_[3246];
+ vX_[3221] = vX_[3185] * vX_[597] + vX_[3221] * vX_[543] + vX_[3220] * vX_[333] + vX_[6685] * vX_[370] +
+ vX_[6864] * vX_[381] + vX_[3244] * vX_[362] + vX_[7064] * vX_[356] + vX_[7052] * vX_[353] +
+ vX_[2784] * vX_[594] + vX_[3184] * vX_[591] + vX_[3235] * vX_[542] + vX_[3220] * vX_[546];
+ vX_[3185] = vX_[6431] * -3.44;
+ vX_[7069] = vX_[6471] * 0.1466472;
+ vX_[3218] = vX_[6469] * -0.5824264;
+ vX_[3195] = 0 - vX_[3185] + vX_[7069] - vX_[3218];
+ vX_[7362] = vX_[6270] + vX_[6455] * vX_[381] + vX_[6431] * vX_[356] + vX_[6464] * vX_[353] + vX_[6467] * vX_[591] +
+ vX_[6469] * vX_[540];
+ vX_[7466] = vX_[2778] * vX_[1375] + vX_[4830] * vX_[303] + vX_[3195] * vX_[1026] + vX_[7466] * vX_[1274] -
+ vX_[7362] * x_in[27];
+ vX_[3230] = vX_[5876] + vX_[7934] + vX_[6307] - vX_[3246] - vX_[3220];
+ vX_[3215] = 0 - vX_[3230];
+ vX_[3227] = vX_[3227] + vX_[3215] * vX_[355];
+ vX_[6790] = vX_[6790] + vX_[3230] * vX_[274];
+ vX_[3217] = 0 - vX_[6864];
+ vX_[3229] = 0 - vX_[7064];
+ vX_[3213] = vX_[7850] + vX_[7909] + vX_[6936] + vX_[4535] - vX_[7364] - vX_[3212];
+ vX_[7033] = vX_[3213] - vX_[7033];
+ vX_[3242] = 0 - vX_[6935];
+ vX_[3241] = 0 - vX_[3184];
+ vX_[7234] = 0 - vX_[3220];
+ vX_[7082] = vX_[1310] - vX_[6302];
+ vX_[7363] = vX_[6294] + vX_[1933];
+ vX_[7380] = vX_[7082] * vX_[354] + vX_[3637] * vX_[273];
+ vX_[3199] = vX_[7082] * vX_[367] + vX_[3637] * vX_[354];
+ vX_[6489] = vX_[6485] * 0.1104774 + vX_[6487] * 0.0004405 + vX_[6489] * 0.025941;
+ vX_[3204] = (0 - vX_[6474]) * -8.81e-05;
+ vX_[5850] = vX_[3204] + vX_[5850];
+ vX_[6493] = vX_[6474] * 0.0004405 + vX_[6485] * 8.81e-05 + vX_[6493] * 0.000468;
+ vX_[5850] = vX_[4308] * vX_[1309] + vX_[2957] * vX_[1455] + vX_[4546] * vX_[1465] + vX_[6489] * vX_[1342] +
+ vX_[5850] * vX_[1241] + vX_[5850] * vX_[1241] + vX_[6493] * x_in[29];
+ vX_[3204] = vX_[3204] + vX_[5852];
+ vX_[6491] = vX_[6474] * -0.1104774 + vX_[6487] * -8.81e-05 + vX_[6491] * 0.026409;
+ vX_[3204] = vX_[4434] * vX_[1309] + vX_[5840] * vX_[2058] + vX_[4222] * vX_[1465] + vX_[6489] * vX_[1241] +
+ vX_[3204] * vX_[1342] + vX_[3204] * vX_[1342] - vX_[6491] * x_in[29];
+ vX_[6489] = vX_[6476] * 0.47422804 + vX_[6477] * -0.0825825 + vX_[6484] * 0.081641 + (0 - vX_[6473]) * 2.1e-05 +
+ vX_[6482] * 0.000102;
+ vX_[5840] = (0 - vX_[6484]) * 0.007418;
+ vX_[7485] = vX_[2369] + vX_[5840] - vX_[7485];
+ vX_[2369] = vX_[6266] + vX_[6472] * vX_[297] + vX_[6476] * vX_[313] + vX_[6477] * vX_[302] + vX_[6473] * vX_[345] +
+ vX_[6482] * vX_[341];
+ vX_[7485] = vX_[4430] * -0.35 + vX_[5850] * vX_[277] + vX_[3204] * vX_[279] + vX_[4459] * vX_[1551] +
+ vX_[7521] * vX_[1116] + vX_[4515] * vX_[1109] + vX_[6489] * vX_[1616] + vX_[7485] * vX_[1547] +
+ vX_[7485] * vX_[1547] + vX_[2369] * x_in[28];
+ vX_[5840] = vX_[8369] - vX_[5840] - vX_[7453];
+ vX_[7453] = vX_[6264] + vX_[6472] * vX_[310] + vX_[6476] * vX_[314] + vX_[6477] * vX_[308] + vX_[6473] * vX_[339] +
+ vX_[6482] * vX_[345];
+ vX_[5840] = vX_[5850] * vX_[280] + vX_[3204] * vX_[277] + vX_[4549] * vX_[1551] + vX_[3188] * vX_[1460] +
+ vX_[8331] * vX_[1109] + vX_[6489] * vX_[1547] + vX_[5840] * vX_[1616] + vX_[5840] * vX_[1616] -
+ vX_[7453] * x_in[28];
+ vX_[3218] = vX_[3185] - vX_[7069] + vX_[3218];
+ vX_[7069] = vX_[6455] * 0.1466472 + vX_[6464] * -0.5824264 + vX_[6471] * -5.1e-05 + (0 - vX_[6467]) * -0.123672 +
+ (0 - vX_[6469]) * 3.6e-05;
+ vX_[3185] = vX_[6467] * 0.022734;
+ vX_[7887] = vX_[7437] - vX_[7887] - vX_[3185];
+ vX_[7437] = vX_[6261] + vX_[6455] * vX_[324] + vX_[6431] * vX_[591] + vX_[6464] * vX_[541] + vX_[6467] * vX_[539] +
+ vX_[6469] * vX_[593];
+ vX_[7887] = vX_[7485] * vX_[276] + vX_[5840] * vX_[303] + vX_[3218] * vX_[1767] + vX_[6090] * vX_[1777] +
+ vX_[7069] * vX_[1026] + vX_[7030] * vX_[1274] + vX_[7887] * vX_[1130] + vX_[7887] * vX_[1130] -
+ vX_[7437] * x_in[27];
+ vX_[6520] = vX_[6520] * vX_[2050];
+ vX_[6521] = vX_[6521] * vX_[2050];
+ vX_[7030] = vX_[6520] * vX_[277] + vX_[6521] * vX_[279];
+ vX_[6522] = vX_[6522] * vX_[2050];
+ vX_[6090] = 0 - vX_[6522];
+ vX_[6492] = vX_[6492] * vX_[2045];
+ vX_[6489] = vX_[6492] * vX_[277];
+ vX_[3188] = vX_[6492] * vX_[279];
+ vX_[8331] = 0 - vX_[3188];
+ vX_[6508] = vX_[6508] * vX_[2057];
+ vX_[4549] = vX_[6508] * vX_[279];
+ vX_[6494] = vX_[6494] * vX_[2045];
+ vX_[8369] = vX_[6494] * vX_[277];
+ vX_[7521] = vX_[6494] * vX_[279];
+ vX_[4515] = 0 - vX_[6508];
+ vX_[4459] = vX_[4515] * vX_[277];
+ vX_[6509] = vX_[6509] * vX_[2057];
+ vX_[4430] = 0 - vX_[6509];
+ vX_[4222] = vX_[4430] * vX_[279];
+ vX_[4434] = vX_[6509] * vX_[277];
+ vX_[6496] = vX_[6496] * vX_[2047];
+ vX_[6487] = vX_[6520] + vX_[6496];
+ vX_[6497] = vX_[6497] * vX_[2047];
+ vX_[6474] = 0 - vX_[6521] - vX_[6497];
+ vX_[5852] = vX_[6487] * vX_[279] + vX_[6474] * vX_[277];
+ vX_[2957] = vX_[6496] * vX_[277] + vX_[6497] * vX_[279];
+ vX_[6514] = vX_[6514] * vX_[2057] + vX_[6502] * vX_[2045];
+ vX_[6502] = 0 - vX_[6514];
+ vX_[4546] = 0 - vX_[6514];
+ vX_[4308] = vX_[4546] * vX_[277];
+ vX_[6485] = vX_[6514] * vX_[279];
+ vX_[3198] = vX_[6515] * vX_[1520] + vX_[6649] * vX_[1470] + vX_[6652] * vX_[1504];
+ vX_[3197] = 0 - vX_[3198];
+ vX_[3194] = vX_[6515] * vX_[1606] + vX_[6649] * vX_[1505] + vX_[6652] * vX_[1464];
+ vX_[3193] = vX_[3197] * x_in[18] + vX_[3194] * x_in[19];
+ vX_[3203] = 0 - vX_[3193];
+ vX_[3202] = 0 - vX_[3193];
+ vX_[3201] = vX_[3202] * vX_[277];
+ vX_[3200] = vX_[3193] * vX_[1473];
+ vX_[6515] = vX_[6515] * vX_[1502] + vX_[6649] * vX_[1521] + vX_[6652] * vX_[1607];
+ jac[1037] = vX_[3187] * vX_[1000] + vX_[3192] * vX_[1460] + vX_[7453] * vX_[1149] + vX_[2369] * vX_[1547] +
+ vX_[7098] + vX_[6515] * vX_[1526] + vX_[3198] * vX_[1477] + vX_[3194] * vX_[1511];
+ jac[1073] = vX_[7203] * vX_[2052] + vX_[8334] * vX_[2058] + vX_[6491] * vX_[1609] + vX_[6493] * vX_[1241] +
+ vX_[5846] + vX_[6515] * vX_[1535] + vX_[3198] * vX_[1488] + vX_[3194] * vX_[1508];
+ vX_[6491] = vX_[6515] * x_in[29];
+ vX_[6493] = vX_[6491] * vX_[277];
+ vX_[7203] = vX_[6491] * vX_[1473];
+ vX_[8334] = vX_[6515] * x_in[28];
+ vX_[5846] = vX_[8334] * vX_[1473];
+ vX_[7453] = vX_[3198] * x_in[27];
+ vX_[2369] = vX_[8334] * vX_[277];
+ vX_[3187] = vX_[7453] * vX_[277];
+ vX_[3192] = vX_[7453] * vX_[1473];
+ vX_[7098] = vX_[6526] * vX_[1563];
+ vX_[6652] = 0 - vX_[7098];
+ vX_[6649] = 0 - vX_[7098];
+ vX_[2763] = vX_[6649] * vX_[277];
+ vX_[8984] = vX_[7098] * vX_[1473];
+ vX_[5809] = 0 - vX_[5809];
+ vX_[1971] = vX_[3199] + vX_[7435];
+ vX_[946] = 0 - vX_[3227];
+ vX_[1257] = 0 - vX_[6790];
+ vX_[3213] = 0 - vX_[3213] + vX_[2816];
+ vX_[2816] = 0 - vX_[7024];
+ vX_[6486] = vX_[6486] * vX_[2045];
+ vX_[2530] = vX_[6486] * vX_[279];
+ vX_[6488] = vX_[6488] * vX_[2045];
+ vX_[8306] = vX_[6488] * vX_[277];
+ vX_[6490] = vX_[6490] * vX_[2045];
+ vX_[6507] = vX_[6507] * vX_[2057];
+ vX_[6523] = vX_[6523] * vX_[2050];
+ vX_[2378] = vX_[6523] * vX_[277];
+ vX_[1193] = vX_[6523] * vX_[279];
+ vX_[2935] = 0 - vX_[1193];
+ vX_[6512] = vX_[6512] * vX_[1435];
+ vX_[2927] = vX_[6512] * vX_[279];
+ vX_[6524] = vX_[6524] * vX_[2050];
+ vX_[8303] = vX_[6524] * vX_[277];
+ vX_[8345] = vX_[6524] * vX_[279];
+ vX_[8063] = 0 - vX_[6486] - vX_[6512];
+ vX_[6513] = vX_[6513] * vX_[1435];
+ vX_[2761] = 0 - vX_[6488] - vX_[6513];
+ vX_[2765] = vX_[8063] * vX_[277] + vX_[2761] * vX_[279];
+ vX_[8377] = vX_[6513] * vX_[277];
+ vX_[6510] = vX_[6510] * vX_[2057] + vX_[6501] * vX_[2050];
+ vX_[6501] = vX_[6510] * vX_[277];
+ vX_[2760] = 0 - vX_[3194];
+ vX_[8317] = vX_[6515] * x_in[18] + vX_[2760] * x_in[20];
+ vX_[2532] = vX_[8317] * vX_[1473];
+ vX_[7897] = vX_[6515] * x_in[27];
+ vX_[8308] = vX_[3198] * x_in[29];
+ vX_[7944] = 0 - vX_[8308];
+ vX_[8758] = vX_[7944] * vX_[277];
+ vX_[1251] = vX_[8308] * vX_[1473];
+ vX_[844] = vX_[3198] * x_in[28];
+ vX_[2529] = 0 - vX_[844];
+ vX_[2820] = vX_[7897] * vX_[277];
+ vX_[8379] = 0 - vX_[844];
+ vX_[7961] = vX_[8379] * vX_[277];
+ vX_[7958] = vX_[7897] * vX_[1473];
+ vX_[2757] = vX_[844] * vX_[1473];
+ vX_[2758] = vX_[6526] * vX_[1556];
+ vX_[2819] = vX_[8317] * vX_[277] + vX_[2758] * vX_[277];
+ vX_[2794] = vX_[6510] * vX_[279] + vX_[2758] * vX_[1473];
+ jac[353] =
+ 0 -
+ (vX_[6270] * vX_[4013] + vX_[6261] * vX_[4518] + vX_[6295] * vX_[1400] + vX_[6282] * vX_[1580] +
+ vX_[6093] * vX_[711] + vX_[3637] * vX_[713] + vX_[5806] * vX_[370] + vX_[7435] * vX_[693] +
+ vX_[7436] * vX_[353] + vX_[6233] * vX_[677] + vX_[3365] * vX_[378] + vX_[4535] * vX_[655] +
+ vX_[3598] * vX_[654] + vX_[3594] * vX_[651] + vX_[3363] * vX_[387] + vX_[4002] * vX_[601] +
+ vX_[4003] * vX_[603] + vX_[4005] * vX_[631] + vX_[560] * vX_[545] + vX_[9208] * vX_[598] +
+ vX_[6066] * x_in[22] + vX_[8049] * x_in[19] +
+ (vX_[6270] * vX_[5604] + vX_[6287] * vX_[1400] + vX_[3221] * vX_[367] + vX_[6066] * x_in[20]) * 0.3735 -
+ (vX_[6276] * vX_[4885] + vX_[6297] * vX_[1279] + vX_[7466] * x_in[23]) +
+ (vX_[6276] * vX_[4518] + vX_[6282] * vX_[1279] + vX_[7466] * x_in[19]) * 0.3735 +
+ (vX_[6276] * vX_[4368] + vX_[6313] * vX_[1279] + vX_[3245] * vX_[543] + vX_[7024] * vX_[597] +
+ vX_[3230] * vX_[380] + vX_[6808] * vX_[382] + vX_[3227] * vX_[353] + vX_[6790] * vX_[362] +
+ vX_[3217] * vX_[365] + vX_[3229] * vX_[381] + vX_[7033] * vX_[370] + vX_[3242] * vX_[541] +
+ vX_[7024] * vX_[594] + vX_[3241] * vX_[324] + vX_[7234] * vX_[548] + vX_[7466] * x_in[18]) *
+ 0.207 -
+ (vX_[6281] * vX_[5604] + vX_[6287] * vX_[1574] + vX_[7082] * vX_[710] + vX_[7363] * vX_[686] +
+ vX_[7380] * vX_[353] + vX_[3199] * vX_[694] + vX_[3593] * vX_[652] + vX_[6614] * vX_[388] +
+ vX_[6936] * vX_[678] + vX_[7031] * vX_[653] + vX_[3231] * vX_[596] + vX_[3226] * vX_[377] +
+ vX_[3247] * vX_[600] + vX_[6953] * vX_[630] + vX_[7520] * vX_[598] + vX_[7102] * vX_[549] +
+ vX_[3221] * vX_[368] + vX_[7887] * x_in[20]) +
+ vX_[6475] * vX_[2045] + vX_[6511] * vX_[1435] + vX_[7030] * vX_[275] + vX_[6090] * vX_[275] * 0.35 +
+ vX_[6522] * 0.3735 + vX_[6489] * 0.35 + vX_[6489] * vX_[303] * 0.08 + vX_[6489] * vX_[275] * -0.3735 +
+ vX_[8331] * vX_[303] * 0.3735 + vX_[3188] * vX_[275] * -0.08 + vX_[4549] * vX_[303] * -0.207 +
+ vX_[8369] * vX_[303] * 0.3735 + vX_[8369] * vX_[275] * 0.08 + vX_[7521] * 0.35 +
+ vX_[7521] * vX_[303] * 0.08 + vX_[7521] * vX_[275] * -0.3735 +
+ (vX_[4459] * vX_[275] + vX_[4222] * vX_[275]) * 0.207 + vX_[4434] * vX_[303] * 0.207 +
+ vX_[5852] * vX_[303] + vX_[2957] * vX_[275] + (0 - vX_[6514]) * 0.08 + vX_[6502] * vX_[303] * 0.35 +
+ vX_[4308] * vX_[303] * 0.33 + vX_[6485] * vX_[275] * 0.33 + (0 - vX_[3193]) * 0.08 +
+ vX_[3203] * vX_[303] * 0.35 + vX_[3201] * vX_[303] * 0.33 + vX_[3200] * vX_[275] * 0.33 +
+ vX_[6493] * vX_[275] * 0.33 + vX_[7203] * vX_[303] * 0.33 + vX_[8334] * vX_[275] * 0.35 +
+ vX_[5846] * vX_[303] * 0.33 + vX_[7453] * 0.08 + vX_[7453] * vX_[303] * 0.35 +
+ (vX_[2369] * vX_[275] + vX_[3187] * vX_[303]) * 0.33 + vX_[3192] * vX_[275] * -0.33 +
+ (0 - vX_[7098]) * 0.08 + vX_[6652] * vX_[303] * 0.35 + vX_[2763] * vX_[303] * 0.33 +
+ vX_[8984] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[6270] * vX_[4885] + vX_[6276] * vX_[4013] + vX_[6261] * vX_[5604] + vX_[6281] * vX_[4518] +
+ vX_[6297] * vX_[1400] + vX_[6295] * vX_[1279] + vX_[6287] * vX_[1580] + vX_[6282] * vX_[1574] +
+ vX_[7082] * vX_[713] + vX_[6093] * vX_[709] + vX_[3637] * vX_[710] + vX_[7363] * vX_[370] +
+ vX_[5809] * vX_[686] + vX_[7380] * vX_[693] + vX_[1971] * vX_[353] + vX_[7436] * vX_[694] +
+ vX_[6233] * vX_[678] + vX_[3593] * vX_[655] + vX_[6614] * vX_[378] + vX_[3365] * vX_[388] +
+ vX_[6936] * vX_[677] + vX_[4535] * vX_[652] + vX_[7031] * vX_[654] + vX_[3231] * vX_[651] +
+ vX_[3598] * vX_[653] + vX_[3594] * vX_[596] + vX_[3226] * vX_[387] + vX_[3363] * vX_[377] +
+ vX_[3247] * vX_[603] + vX_[4002] * vX_[599] + vX_[4003] * vX_[600] + vX_[6953] * vX_[631] +
+ vX_[4004] * vX_[630] + vX_[7520] * vX_[545] + vX_[7094] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[3221] * vX_[366] +
+ (vX_[6935] * vX_[595] + vX_[3318] * vX_[333] + vX_[3184] * vX_[382] + vX_[3215] * vX_[357] +
+ vX_[3246] * vX_[371] + vX_[946] * vX_[356] + vX_[6671] * vX_[365] + vX_[1257] * vX_[353] +
+ vX_[3233] * vX_[370] + vX_[3213] * vX_[381] + vX_[6935] * vX_[591] + vX_[2816] * vX_[540] +
+ vX_[3184] * vX_[386] + vX_[3246] * vX_[537]) *
+ 0.207 +
+ vX_[6066] * x_in[23] + vX_[7466] * x_in[22] + vX_[8049] * x_in[20] + vX_[7887] * x_in[19] +
+ (vX_[6270] * vX_[4518] + vX_[6282] * vX_[1400] + vX_[3221] * vX_[354] + vX_[6066] * x_in[19]) * -0.3735 +
+ (vX_[6270] * vX_[4368] + vX_[6313] * vX_[1400] + vX_[6066] * x_in[18]) * -0.207 +
+ (vX_[6276] * vX_[5604] + vX_[6287] * vX_[1279] + vX_[7466] * x_in[20]) * 0.3735 + vX_[6519] * vX_[2050] +
+ vX_[6495] * vX_[2047] - vX_[2530] * vX_[303] + vX_[8306] * vX_[303] + (0 - vX_[6490]) * 0.3735 +
+ vX_[6490] * vX_[275] * 0.35 + (0 - vX_[6507]) * 0.207 + vX_[2378] * 0.35 + vX_[2378] * vX_[303] * 0.08 +
+ vX_[2378] * vX_[275] * -0.3735 + vX_[2935] * vX_[303] * 0.3735 + (0 - vX_[1193] * vX_[275]) * 0.08 -
+ vX_[2927] * vX_[303] + vX_[8303] * vX_[303] * 0.3735 + vX_[8303] * vX_[275] * 0.08 + vX_[8345] * 0.35 +
+ vX_[8345] * vX_[303] * 0.08 + vX_[8345] * vX_[275] * -0.3735 + vX_[2765] * vX_[275] + vX_[8377] * vX_[303] +
+ vX_[6510] * 0.08 + vX_[6510] * vX_[303] * 0.35 + vX_[6501] * vX_[303] * 0.33 + vX_[8317] * 0.08 +
+ vX_[8317] * vX_[303] * 0.35 + vX_[2532] * vX_[275] * -0.33 + vX_[7897] * 0.08 +
+ vX_[7897] * vX_[303] * 0.35 + vX_[8758] * vX_[275] * 0.33 + vX_[1251] * vX_[303] * -0.33 +
+ vX_[2529] * vX_[275] * 0.35 + (vX_[2820] * vX_[303] + vX_[7961] * vX_[275]) * 0.33 +
+ (vX_[7958] * vX_[275] + vX_[2757] * vX_[303]) * -0.33 + vX_[2758] * 0.08 + vX_[2758] * vX_[303] * 0.35 +
+ vX_[2819] * vX_[303] * 0.33 + vX_[2794] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[6522] = vX_[6298] - vX_[6721];
+ vX_[7082] = vX_[6715] + vX_[7804];
+ vX_[3215] = vX_[6710] + vX_[1150];
+ vX_[3230] = 0 - vX_[3215];
+ vX_[3221] = vX_[6522] * vX_[273];
+ vX_[3318] = vX_[6522] * vX_[354];
+ vX_[7031] = vX_[6712] + vX_[7877];
+ vX_[3245] = vX_[6661] + vX_[6638];
+ vX_[4004] = vX_[6711] + vX_[7875];
+ vX_[6953] = vX_[6702] + vX_[6722];
+ vX_[3231] = vX_[6953] * vX_[354] + vX_[4004] * vX_[273];
+ vX_[6936] = vX_[6953] * vX_[367] + vX_[4004] * vX_[354];
+ vX_[6808] = vX_[6680] + vX_[6644];
+ vX_[3226] = 0 - (vX_[6709] + vX_[6720]) + vX_[6808];
+ vX_[7094] = vX_[6659] - vX_[6726];
+ vX_[7102] = vX_[6705] + vX_[7800];
+ vX_[7520] = vX_[6609] + vX_[6640];
+ vX_[3247] = 0 - vX_[7520];
+ vX_[9208] = vX_[7094] * vX_[273];
+ vX_[560] = vX_[7094] * vX_[354];
+ vX_[4005] = vX_[6906] * 0.881 + (0 - vX_[6908]) * 0.0004405 + vX_[6910] * -8.81e-05;
+ vX_[4003] = vX_[6904] * -0.881;
+ vX_[4002] = vX_[6908] * 0.1104774;
+ vX_[3363] = vX_[6912] * -8.81e-05;
+ vX_[6614] = vX_[4003] - vX_[4002] + vX_[3363];
+ vX_[3594] = vX_[4005] * vX_[1241] + vX_[6614] * vX_[1342];
+ vX_[3598] = vX_[6896] * 3.146 + (0 - vX_[6903]) * -0.0825825;
+ vX_[3593] = vX_[6895] * -3.146;
+ vX_[4535] = vX_[6903] * 0.47422804;
+ vX_[3365] = vX_[3593] - vX_[4535];
+ vX_[6233] = vX_[3594] + vX_[3598] * vX_[1547] + vX_[3365] * vX_[1616];
+ vX_[3637] = vX_[6883] * 3.44 + vX_[6886] * -0.5824264;
+ vX_[6093] = 0 - vX_[3637];
+ vX_[6519] = vX_[6874] * 3.44 + (0 - vX_[6886]) * 0.1466472;
+ vX_[6511] = vX_[6874] * vX_[370] + vX_[6850] * vX_[353] + vX_[6883] * vX_[362] + vX_[6886] * vX_[541] +
+ vX_[6888] * vX_[594];
+ vX_[6495] = vX_[6233] + vX_[6093] * vX_[1026] + vX_[6519] * vX_[1130] + vX_[6511] * x_in[27];
+ vX_[6475] = 0 - vX_[4005];
+ vX_[3363] = 0 - vX_[4003] + vX_[4002] - vX_[3363];
+ vX_[4002] = vX_[6893] * 0.0004405 + vX_[6904] * -8.81e-05 + vX_[6912] * -0.000227999999999999;
+ vX_[4003] = vX_[6893] * 0.1104774 + vX_[6906] * -8.81e-05 + (0 - vX_[6910]) * 0.025713;
+ vX_[6281] = (0 - vX_[6904]) * 0.0004405;
+ vX_[6261] = (0 - vX_[6906]) * 0.1104774;
+ vX_[6276] = vX_[6281] + vX_[6261];
+ vX_[6276] = vX_[6475] * vX_[2058] + vX_[3363] * vX_[1455] + vX_[4002] * vX_[1241] + vX_[4003] * vX_[1342] +
+ vX_[6276] * vX_[1465] + vX_[6276] * vX_[1465];
+ vX_[6270] = vX_[6893] * 0.881 + (0 - vX_[6910]) * 0.1104774 + vX_[6912] * 0.0004405;
+ vX_[2793] = vX_[6904] * 0.00185880198235362 + vX_[6906] * 0.880992588508842 + vX_[6910] * -8.81e-05;
+ vX_[6475] = vX_[6475] * vX_[1465] + vX_[6270] * vX_[1342] + vX_[2793] * x_in[29];
+ vX_[2799] = 0 - vX_[6270];
+ vX_[2800] = vX_[6904] * 0.414812462825713 + vX_[6906] * 0.00185880198235362 + vX_[6912] * 8.81e-05;
+ vX_[3363] = vX_[3363] * vX_[1465] + vX_[2799] * vX_[1241] - vX_[2800] * x_in[29];
+ vX_[7661] = 0 - vX_[3598];
+ vX_[4535] = 0 - vX_[3593] + vX_[4535];
+ vX_[3593] = vX_[6891] * -0.0825825 + (0 - vX_[6903]) * 0.000102 + vX_[6892] * 0.007418 + vX_[6901] * 0.002735;
+ vX_[7645] = vX_[6891] * 0.47422804 + vX_[6903] * 2.1e-05 + (0 - vX_[6892]) * 0.084376 + (0 - vX_[6901]) * 0.007418;
+ vX_[7657] = (0 - vX_[6895]) * -0.0825825;
+ vX_[7718] = (0 - vX_[6896]) * 0.47422804;
+ vX_[7735] = vX_[6892] * 0.000102;
+ vX_[7807] = (0 - vX_[6901]) * 2.1e-05;
+ vX_[7803] = vX_[7657] + vX_[7718] + vX_[7735] + vX_[7807];
+ vX_[7803] = vX_[6276] + vX_[6475] * vX_[1388] + vX_[3363] * vX_[282] + vX_[7661] * vX_[1460] +
+ vX_[4535] * vX_[1116] + vX_[3593] * vX_[1547] + vX_[7645] * vX_[1616] + vX_[7803] * vX_[1109] +
+ vX_[7803] * vX_[1109];
+ vX_[7864] = vX_[6891] * 3.146 + (0 - vX_[6892]) * 0.47422804 + vX_[6901] * -0.0825825;
+ vX_[2804] = vX_[6895] * vX_[330] + vX_[6896] * vX_[329] + vX_[6892] * vX_[308] + vX_[6901] * vX_[302];
+ vX_[7661] = vX_[6475] * vX_[277] + vX_[3363] * vX_[279] + vX_[7661] * vX_[1109] + vX_[7864] * vX_[1616] +
+ vX_[2804] * x_in[28];
+ vX_[2807] = 0 - vX_[7864];
+ vX_[7862] = vX_[6895] * vX_[328] + vX_[6896] * vX_[330] + vX_[6892] * vX_[314] + vX_[6901] * vX_[313];
+ vX_[4535] = vX_[6475] * vX_[1380] + vX_[3363] * vX_[277] + vX_[4535] * vX_[1109] + vX_[2807] * vX_[1547] -
+ vX_[7862] * x_in[28];
+ vX_[7881] = 0 - vX_[6519];
+ vX_[2818] = vX_[6850] * -0.5824264 + (0 - vX_[6890]) * 0.022734 + vX_[6886] * 3.6e-05 + vX_[6888] * -0.133138;
+ vX_[2806] = vX_[6850] * 0.1466472 + vX_[6890] * 0.009466 + (0 - vX_[6886]) * -5.1e-05 + vX_[6888] * 0.022734;
+ vX_[2817] = (0 - vX_[6874]) * -0.5824264;
+ vX_[7895] = (0 - vX_[6883]) * 0.1466472;
+ vX_[2780] = (0 - vX_[6890]) * 3.6e-05;
+ vX_[7703] = (0 - vX_[6888]) * -5.1e-05;
+ vX_[2891] = vX_[2817] + vX_[7895] + vX_[2780] - vX_[7703];
+ vX_[7933] = vX_[6874] * vX_[386] + vX_[6850] * vX_[540] + vX_[6883] * vX_[594] + vX_[6886] * vX_[593] +
+ vX_[6888] * vX_[350];
+ vX_[2891] = vX_[7803] + vX_[7661] * vX_[1376] + vX_[4535] * vX_[321] + vX_[3637] * vX_[1767] +
+ vX_[7881] * vX_[1126] + vX_[2818] * vX_[1026] + vX_[2806] * vX_[1130] + vX_[2891] * vX_[1274] +
+ vX_[2891] * vX_[1274] + vX_[7933] * x_in[27];
+ vX_[8295] = vX_[6305] - vX_[6726];
+ vX_[2416] = vX_[8295] * vX_[354] + vX_[7102] * vX_[273];
+ vX_[2785] = vX_[8295] * vX_[367] + vX_[7102] * vX_[354];
+ vX_[7902] = vX_[2785] + vX_[9208];
+ vX_[7916] = vX_[2416] * vX_[367] + vX_[7902] * vX_[354] + vX_[560] * vX_[273];
+ vX_[2384] = 0 - vX_[7916];
+ vX_[2808] = vX_[6726] + vX_[2416] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[7849] = 0 - vX_[2808];
+ vX_[2791] = vX_[6726] + vX_[2785] * vX_[367] + vX_[560] * vX_[354];
+ vX_[2768] = vX_[6708] + vX_[6719] - vX_[3245];
+ vX_[8300] = vX_[6808] * vX_[354] + vX_[3245] * vX_[273];
+ vX_[2803] = 0 - (vX_[2768] * vX_[367] + vX_[3226] * vX_[354]) + vX_[8300];
+ vX_[2788] = vX_[2803] + vX_[2808] * vX_[355];
+ vX_[2790] = 0 - vX_[2788];
+ vX_[2802] = vX_[6808] * vX_[367] + vX_[3245] * vX_[354];
+ vX_[2786] = vX_[2768] * vX_[354] + vX_[3226] * vX_[273] + vX_[2802];
+ vX_[2815] = 0 - vX_[2791];
+ vX_[2814] = vX_[2786] + vX_[7916] * vX_[355] + vX_[2815] * vX_[274];
+ vX_[8135] = vX_[6707] + vX_[7879];
+ vX_[7956] = vX_[7031] * vX_[354] + vX_[8135] * vX_[367];
+ vX_[8283] = vX_[7956] * vX_[354] + vX_[6936] * vX_[273];
+ vX_[8281] = vX_[6696] + vX_[6568];
+ vX_[7520] = 0 - vX_[7520];
+ vX_[2772] = vX_[8281] * vX_[367] + vX_[7520] * vX_[354];
+ vX_[2777] = 0 - vX_[2772];
+ vX_[2771] = vX_[8283] + vX_[2777] * vX_[274] + vX_[7849] * vX_[369];
+ vX_[2770] = 0 - vX_[2771];
+ vX_[2767] = vX_[7031] * vX_[273] + vX_[8135] * vX_[354];
+ vX_[2766] = vX_[2767] * vX_[367] + vX_[3231] * vX_[354];
+ vX_[2776] = vX_[8281] * vX_[354] + vX_[3247] * vX_[273];
+ vX_[2775] = 0 - vX_[2776];
+ vX_[2774] = vX_[2766] + vX_[2775] * vX_[355] + vX_[2791] * vX_[369];
+ vX_[2773] = vX_[2767] * vX_[354] + vX_[3231] * vX_[273];
+ vX_[2363] = vX_[2773] + vX_[2772] * vX_[355];
+ vX_[3442] = vX_[7956] * vX_[367] + vX_[6936] * vX_[354];
+ vX_[1682] = vX_[3442] + vX_[2776] * vX_[274] + vX_[2384] * vX_[369];
+ vX_[3665] = 0 - vX_[2363] + vX_[1682];
+ vX_[3686] = 0 - vX_[7916];
+ vX_[2130] = 0 - vX_[2808];
+ vX_[7849] = vX_[2384] * vX_[597] + vX_[7849] * vX_[543] + vX_[2791] * vX_[333] + vX_[2790] * vX_[370] +
+ vX_[2814] * vX_[381] + vX_[2770] * vX_[362] + vX_[2774] * vX_[356] + vX_[3665] * vX_[353] +
+ vX_[3686] * vX_[594] + vX_[7916] * vX_[591] + vX_[2130] * vX_[542] + vX_[2791] * vX_[546];
+ vX_[2384] = vX_[6850] * -3.44;
+ vX_[832] = vX_[6890] * 0.1466472;
+ vX_[1697] = vX_[6888] * -0.5824264;
+ vX_[3696] = 0 - vX_[2384] + vX_[832] - vX_[1697];
+ vX_[3557] = vX_[6874] * vX_[381] + vX_[6850] * vX_[356] + vX_[6883] * vX_[353] + vX_[6886] * vX_[591] +
+ vX_[6888] * vX_[540];
+ vX_[7881] = vX_[7661] * vX_[1375] + vX_[4535] * vX_[303] + vX_[3696] * vX_[1026] + vX_[7881] * vX_[1274] -
+ vX_[3557] * x_in[27];
+ vX_[2046] = vX_[6305] + vX_[6659] + vX_[6726] - vX_[2808] - vX_[2791];
+ vX_[950] = 0 - vX_[2046];
+ vX_[8300] = vX_[8300] + vX_[950] * vX_[355];
+ vX_[2802] = vX_[2802] + vX_[2046] * vX_[274];
+ vX_[1573] = 0 - vX_[2814];
+ vX_[8985] = 0 - vX_[2774];
+ vX_[2361] = vX_[6626] + vX_[6634] + vX_[8135] + vX_[4004] - vX_[2773] - vX_[3442];
+ vX_[1682] = vX_[2361] - vX_[1682];
+ vX_[2365] = 0 - vX_[2772];
+ vX_[2932] = 0 - vX_[7916];
+ vX_[2360] = 0 - vX_[2791];
+ vX_[936] = vX_[7806] - vX_[6721];
+ vX_[2132] = vX_[6713] + vX_[1227];
+ vX_[8763] = vX_[936] * vX_[354] + vX_[7082] * vX_[273];
+ vX_[1932] = vX_[936] * vX_[367] + vX_[7082] * vX_[354];
+ vX_[6908] = vX_[6904] * 0.1104774 + vX_[6906] * 0.0004405 + vX_[6908] * 0.025941;
+ vX_[8921] = (0 - vX_[6893]) * -8.81e-05;
+ vX_[6261] = vX_[8921] + vX_[6261];
+ vX_[6912] = vX_[6893] * 0.0004405 + vX_[6904] * 8.81e-05 + vX_[6912] * 0.000468;
+ vX_[6261] = vX_[4005] * vX_[1309] + vX_[2799] * vX_[1455] + vX_[4002] * vX_[1465] + vX_[6908] * vX_[1342] +
+ vX_[6261] * vX_[1241] + vX_[6261] * vX_[1241] + vX_[6912] * x_in[29];
+ vX_[8921] = vX_[8921] + vX_[6281];
+ vX_[6910] = vX_[6893] * -0.1104774 + vX_[6906] * -8.81e-05 + vX_[6910] * 0.026409;
+ vX_[8921] = vX_[6614] * vX_[1309] + vX_[6270] * vX_[2058] + vX_[4003] * vX_[1465] + vX_[6908] * vX_[1241] +
+ vX_[8921] * vX_[1342] + vX_[8921] * vX_[1342] - vX_[6910] * x_in[29];
+ vX_[6908] = vX_[6895] * 0.47422804 + vX_[6896] * -0.0825825 + vX_[6903] * 0.081641 + (0 - vX_[6892]) * 2.1e-05 +
+ vX_[6901] * 0.000102;
+ vX_[6270] = (0 - vX_[6903]) * 0.007418;
+ vX_[7807] = vX_[7718] + vX_[6270] - vX_[7807];
+ vX_[7718] = vX_[6891] * vX_[297] + vX_[6895] * vX_[313] + vX_[6896] * vX_[302] + vX_[6892] * vX_[345] +
+ vX_[6901] * vX_[341];
+ vX_[7807] = vX_[3594] * -0.35 + vX_[6261] * vX_[277] + vX_[8921] * vX_[279] + vX_[3598] * vX_[1551] +
+ vX_[2807] * vX_[1116] + vX_[3593] * vX_[1109] + vX_[6908] * vX_[1616] + vX_[7807] * vX_[1547] +
+ vX_[7807] * vX_[1547] + vX_[7718] * x_in[28];
+ vX_[6270] = vX_[7657] - vX_[6270] - vX_[7735];
+ vX_[7735] = vX_[6891] * vX_[310] + vX_[6895] * vX_[314] + vX_[6896] * vX_[308] + vX_[6892] * vX_[339] +
+ vX_[6901] * vX_[345];
+ vX_[6270] = vX_[6261] * vX_[280] + vX_[8921] * vX_[277] + vX_[3365] * vX_[1551] + vX_[7864] * vX_[1460] +
+ vX_[7645] * vX_[1109] + vX_[6908] * vX_[1547] + vX_[6270] * vX_[1616] + vX_[6270] * vX_[1616] -
+ vX_[7735] * x_in[28];
+ vX_[1697] = vX_[2384] - vX_[832] + vX_[1697];
+ vX_[832] = vX_[6874] * 0.1466472 + vX_[6883] * -0.5824264 + vX_[6890] * -5.1e-05 + (0 - vX_[6886]) * -0.123672 +
+ (0 - vX_[6888]) * 3.6e-05;
+ vX_[2384] = vX_[6886] * 0.022734;
+ vX_[2780] = vX_[2817] - vX_[2780] - vX_[2384];
+ vX_[2817] = vX_[6874] * vX_[324] + vX_[6850] * vX_[591] + vX_[6883] * vX_[541] + vX_[6886] * vX_[539] +
+ vX_[6888] * vX_[593];
+ vX_[2780] = vX_[7807] * vX_[276] + vX_[6270] * vX_[303] + vX_[1697] * vX_[1767] + vX_[6519] * vX_[1777] +
+ vX_[832] * vX_[1026] + vX_[2806] * vX_[1274] + vX_[2780] * vX_[1130] + vX_[2780] * vX_[1130] -
+ vX_[2817] * x_in[27];
+ vX_[6939] = vX_[6939] * vX_[2050];
+ vX_[6940] = vX_[6940] * vX_[2050];
+ vX_[2806] = vX_[6939] * vX_[277] + vX_[6940] * vX_[279];
+ vX_[6941] = vX_[6941] * vX_[2050];
+ vX_[6519] = 0 - vX_[6941];
+ vX_[6911] = vX_[6911] * vX_[2045];
+ vX_[6908] = vX_[6911] * vX_[277];
+ vX_[7864] = vX_[6911] * vX_[279];
+ vX_[7645] = 0 - vX_[7864];
+ vX_[6927] = vX_[6927] * vX_[2057];
+ vX_[3365] = vX_[6927] * vX_[279];
+ vX_[6913] = vX_[6913] * vX_[2045];
+ vX_[7657] = vX_[6913] * vX_[277];
+ vX_[2807] = vX_[6913] * vX_[279];
+ vX_[3593] = 0 - vX_[6927];
+ vX_[3598] = vX_[3593] * vX_[277];
+ vX_[6928] = vX_[6928] * vX_[2057];
+ vX_[3594] = 0 - vX_[6928];
+ vX_[4003] = vX_[3594] * vX_[279];
+ vX_[6614] = vX_[6928] * vX_[277];
+ vX_[6915] = vX_[6915] * vX_[2047];
+ vX_[6906] = vX_[6939] + vX_[6915];
+ vX_[6916] = vX_[6916] * vX_[2047];
+ vX_[6893] = 0 - vX_[6940] - vX_[6916];
+ vX_[6281] = vX_[6906] * vX_[279] + vX_[6893] * vX_[277];
+ vX_[2799] = vX_[6915] * vX_[277] + vX_[6916] * vX_[279];
+ vX_[6933] = vX_[6933] * vX_[2057] + vX_[6921] * vX_[2045];
+ vX_[6921] = 0 - vX_[6933];
+ vX_[4002] = 0 - vX_[6933];
+ vX_[4005] = vX_[4002] * vX_[277];
+ vX_[6904] = vX_[6933] * vX_[279];
+ vX_[3280] = vX_[6934] * vX_[1520] + vX_[7068] * vX_[1470] + vX_[7071] * vX_[1504];
+ vX_[3693] = 0 - vX_[3280];
+ vX_[3735] = vX_[6934] * vX_[1606] + vX_[7068] * vX_[1505] + vX_[7071] * vX_[1464];
+ vX_[2129] = vX_[3693] * x_in[18] + vX_[3735] * x_in[19];
+ vX_[2420] = 0 - vX_[2129];
+ vX_[3019] = 0 - vX_[2129];
+ vX_[8920] = vX_[3019] * vX_[277];
+ vX_[8922] = vX_[2129] * vX_[1473];
+ vX_[6934] = vX_[6934] * vX_[1502] + vX_[7068] * vX_[1521] + vX_[7071] * vX_[1607];
+ jac[1038] = vX_[7862] * vX_[1000] + vX_[2804] * vX_[1460] + vX_[7735] * vX_[1149] + vX_[7718] * vX_[1547] +
+ vX_[7803] + vX_[6934] * vX_[1526] + vX_[3280] * vX_[1477] + vX_[3735] * vX_[1511];
+ jac[1074] = vX_[2800] * vX_[2052] + vX_[2793] * vX_[2058] + vX_[6910] * vX_[1609] + vX_[6912] * vX_[1241] +
+ vX_[6276] + vX_[6934] * vX_[1535] + vX_[3280] * vX_[1488] + vX_[3735] * vX_[1508];
+ vX_[6910] = vX_[6934] * x_in[29];
+ vX_[6912] = vX_[6910] * vX_[277];
+ vX_[2800] = vX_[6910] * vX_[1473];
+ vX_[2793] = vX_[6934] * x_in[28];
+ vX_[6276] = vX_[2793] * vX_[1473];
+ vX_[7735] = vX_[3280] * x_in[27];
+ vX_[7718] = vX_[2793] * vX_[277];
+ vX_[7862] = vX_[7735] * vX_[277];
+ vX_[2804] = vX_[7735] * vX_[1473];
+ vX_[7803] = vX_[6945] * vX_[1563];
+ vX_[7071] = 0 - vX_[7803];
+ vX_[7068] = 0 - vX_[7803];
+ vX_[2357] = vX_[7068] * vX_[277];
+ vX_[2358] = vX_[7803] * vX_[1473];
+ vX_[3215] = 0 - vX_[3215];
+ vX_[2419] = vX_[1932] + vX_[3221];
+ vX_[2394] = 0 - vX_[8300];
+ vX_[2393] = 0 - vX_[2802];
+ vX_[2361] = 0 - vX_[2361] + vX_[2363];
+ vX_[2363] = 0 - vX_[2776];
+ vX_[6905] = vX_[6905] * vX_[2045];
+ vX_[2399] = vX_[6905] * vX_[279];
+ vX_[6907] = vX_[6907] * vX_[2045];
+ vX_[2400] = vX_[6907] * vX_[277];
+ vX_[6909] = vX_[6909] * vX_[2045];
+ vX_[6926] = vX_[6926] * vX_[2057];
+ vX_[6942] = vX_[6942] * vX_[2050];
+ vX_[8582] = vX_[6942] * vX_[277];
+ vX_[8566] = vX_[6942] * vX_[279];
+ vX_[8578] = 0 - vX_[8566];
+ vX_[6931] = vX_[6931] * vX_[1435];
+ vX_[8639] = vX_[6931] * vX_[279];
+ vX_[6943] = vX_[6943] * vX_[2050];
+ vX_[8656] = vX_[6943] * vX_[277];
+ vX_[8728] = vX_[6943] * vX_[279];
+ vX_[8724] = 0 - vX_[6905] - vX_[6931];
+ vX_[6932] = vX_[6932] * vX_[1435];
+ vX_[8478] = 0 - vX_[6907] - vX_[6932];
+ vX_[2404] = vX_[8724] * vX_[277] + vX_[8478] * vX_[279];
+ vX_[2407] = vX_[6932] * vX_[277];
+ vX_[6929] = vX_[6929] * vX_[2057] + vX_[6920] * vX_[2050];
+ vX_[6920] = vX_[6929] * vX_[277];
+ vX_[8732] = 0 - vX_[3735];
+ vX_[8742] = vX_[6934] * x_in[18] + vX_[8732] * x_in[20];
+ vX_[2418] = vX_[8742] * vX_[1473];
+ vX_[2406] = vX_[6934] * x_in[27];
+ vX_[2417] = vX_[3280] * x_in[29];
+ vX_[8551] = 0 - vX_[2417];
+ vX_[2380] = vX_[8551] * vX_[277];
+ vX_[8764] = vX_[2417] * vX_[1473];
+ vX_[2491] = vX_[3280] * x_in[28];
+ vX_[8804] = 0 - vX_[2491];
+ vX_[9128] = vX_[2406] * vX_[277];
+ vX_[1945] = 0 - vX_[2491];
+ vX_[2385] = vX_[1945] * vX_[277];
+ vX_[8775] = vX_[2406] * vX_[1473];
+ vX_[8624] = vX_[2491] * vX_[1473];
+ vX_[1712] = vX_[6945] * vX_[1556];
+ vX_[2408] = vX_[8742] * vX_[277] + vX_[1712] * vX_[277];
+ vX_[8806] = vX_[6929] * vX_[279] + vX_[1712] * vX_[1473];
+ jac[354] =
+ 0 -
+ (vX_[6714] * vX_[1400] + vX_[6701] * vX_[1580] + vX_[6522] * vX_[711] + vX_[7082] * vX_[713] +
+ vX_[3230] * vX_[370] + vX_[3221] * vX_[693] + vX_[3318] * vX_[353] + vX_[7031] * vX_[677] +
+ vX_[3245] * vX_[378] + vX_[4004] * vX_[655] + vX_[3231] * vX_[654] + vX_[6936] * vX_[651] +
+ vX_[3226] * vX_[387] + vX_[7094] * vX_[601] + vX_[7102] * vX_[603] + vX_[3247] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[6495] * x_in[22] + vX_[2891] * x_in[19] +
+ (vX_[6706] * vX_[1400] + vX_[7849] * vX_[367] + vX_[6495] * x_in[20]) * 0.3735 -
+ (vX_[6716] * vX_[1279] + vX_[7881] * x_in[23]) + (vX_[6701] * vX_[1279] + vX_[7881] * x_in[19]) * 0.3735 +
+ (vX_[6732] * vX_[1279] + vX_[2777] * vX_[543] + vX_[2776] * vX_[597] + vX_[2046] * vX_[380] +
+ vX_[2815] * vX_[382] + vX_[8300] * vX_[353] + vX_[2802] * vX_[362] + vX_[1573] * vX_[365] +
+ vX_[8985] * vX_[381] + vX_[1682] * vX_[370] + vX_[2365] * vX_[541] + vX_[2776] * vX_[594] +
+ vX_[2932] * vX_[324] + vX_[2360] * vX_[548] + vX_[7881] * x_in[18]) *
+ 0.207 -
+ (vX_[6706] * vX_[1574] + vX_[936] * vX_[710] + vX_[2132] * vX_[686] + vX_[8763] * vX_[353] +
+ vX_[1932] * vX_[694] + vX_[6953] * vX_[652] + vX_[6808] * vX_[388] + vX_[8135] * vX_[678] +
+ vX_[2767] * vX_[653] + vX_[7956] * vX_[596] + vX_[2768] * vX_[377] + vX_[8295] * vX_[600] +
+ vX_[8281] * vX_[630] + vX_[2416] * vX_[598] + vX_[2785] * vX_[549] + vX_[7849] * vX_[368] +
+ vX_[2780] * x_in[20]) +
+ vX_[6894] * vX_[2045] + vX_[6930] * vX_[1435] + vX_[2806] * vX_[275] + vX_[6519] * vX_[275] * 0.35 +
+ vX_[6941] * 0.3735 + vX_[6908] * 0.35 + vX_[6908] * vX_[303] * 0.08 + vX_[6908] * vX_[275] * -0.3735 +
+ vX_[7645] * vX_[303] * 0.3735 + vX_[7864] * vX_[275] * -0.08 + vX_[3365] * vX_[303] * -0.207 +
+ vX_[7657] * vX_[303] * 0.3735 + vX_[7657] * vX_[275] * 0.08 + vX_[2807] * 0.35 +
+ vX_[2807] * vX_[303] * 0.08 + vX_[2807] * vX_[275] * -0.3735 +
+ (vX_[3598] * vX_[275] + vX_[4003] * vX_[275]) * 0.207 + vX_[6614] * vX_[303] * 0.207 +
+ vX_[6281] * vX_[303] + vX_[2799] * vX_[275] + (0 - vX_[6933]) * 0.08 + vX_[6921] * vX_[303] * 0.35 +
+ vX_[4005] * vX_[303] * 0.33 + vX_[6904] * vX_[275] * 0.33 + (0 - vX_[2129]) * 0.08 +
+ vX_[2420] * vX_[303] * 0.35 + vX_[8920] * vX_[303] * 0.33 + vX_[8922] * vX_[275] * 0.33 +
+ vX_[6912] * vX_[275] * 0.33 + vX_[2800] * vX_[303] * 0.33 + vX_[2793] * vX_[275] * 0.35 +
+ vX_[6276] * vX_[303] * 0.33 + vX_[7735] * 0.08 + vX_[7735] * vX_[303] * 0.35 +
+ (vX_[7718] * vX_[275] + vX_[7862] * vX_[303]) * 0.33 + vX_[2804] * vX_[275] * -0.33 +
+ (0 - vX_[7803]) * 0.08 + vX_[7071] * vX_[303] * 0.35 + vX_[2357] * vX_[303] * 0.33 +
+ vX_[2358] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[6716] * vX_[1400] + vX_[6714] * vX_[1279] + vX_[6706] * vX_[1580] + vX_[6701] * vX_[1574] +
+ vX_[936] * vX_[713] + vX_[6522] * vX_[709] + vX_[7082] * vX_[710] + vX_[2132] * vX_[370] +
+ vX_[3215] * vX_[686] + vX_[8763] * vX_[693] + vX_[2419] * vX_[353] + vX_[3318] * vX_[694] +
+ vX_[7031] * vX_[678] + vX_[6953] * vX_[655] + vX_[6808] * vX_[378] + vX_[3245] * vX_[388] +
+ vX_[8135] * vX_[677] + vX_[4004] * vX_[652] + vX_[2767] * vX_[654] + vX_[7956] * vX_[651] +
+ vX_[3231] * vX_[653] + vX_[6936] * vX_[596] + vX_[2768] * vX_[387] + vX_[3226] * vX_[377] +
+ vX_[8295] * vX_[603] + vX_[7094] * vX_[599] + vX_[7102] * vX_[600] + vX_[8281] * vX_[631] +
+ vX_[7520] * vX_[630] + vX_[2416] * vX_[545] + vX_[7902] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[7849] * vX_[366] +
+ (vX_[2772] * vX_[595] + vX_[2775] * vX_[333] + vX_[7916] * vX_[382] + vX_[950] * vX_[357] +
+ vX_[2808] * vX_[371] + vX_[2394] * vX_[356] + vX_[2788] * vX_[365] + vX_[2393] * vX_[353] +
+ vX_[2771] * vX_[370] + vX_[2361] * vX_[381] + vX_[2772] * vX_[591] + vX_[2363] * vX_[540] +
+ vX_[7916] * vX_[386] + vX_[2808] * vX_[537]) *
+ 0.207 +
+ vX_[6495] * x_in[23] + vX_[7881] * x_in[22] + vX_[2891] * x_in[20] + vX_[2780] * x_in[19] +
+ (vX_[6701] * vX_[1400] + vX_[7849] * vX_[354] + vX_[6495] * x_in[19]) * -0.3735 +
+ (vX_[6732] * vX_[1400] + vX_[6495] * x_in[18]) * -0.207 +
+ (vX_[6706] * vX_[1279] + vX_[7881] * x_in[20]) * 0.3735 + vX_[6938] * vX_[2050] + vX_[6914] * vX_[2047] -
+ vX_[2399] * vX_[303] + vX_[2400] * vX_[303] + (0 - vX_[6909]) * 0.3735 + vX_[6909] * vX_[275] * 0.35 +
+ (0 - vX_[6926]) * 0.207 + vX_[8582] * 0.35 + vX_[8582] * vX_[303] * 0.08 + vX_[8582] * vX_[275] * -0.3735 +
+ vX_[8578] * vX_[303] * 0.3735 + (0 - vX_[8566] * vX_[275]) * 0.08 - vX_[8639] * vX_[303] +
+ vX_[8656] * vX_[303] * 0.3735 + vX_[8656] * vX_[275] * 0.08 + vX_[8728] * 0.35 +
+ vX_[8728] * vX_[303] * 0.08 + vX_[8728] * vX_[275] * -0.3735 + vX_[2404] * vX_[275] + vX_[2407] * vX_[303] +
+ vX_[6929] * 0.08 + vX_[6929] * vX_[303] * 0.35 + vX_[6920] * vX_[303] * 0.33 + vX_[8742] * 0.08 +
+ vX_[8742] * vX_[303] * 0.35 + vX_[2418] * vX_[275] * -0.33 + vX_[2406] * 0.08 +
+ vX_[2406] * vX_[303] * 0.35 + vX_[2380] * vX_[275] * 0.33 + vX_[8764] * vX_[303] * -0.33 +
+ vX_[8804] * vX_[275] * 0.35 + (vX_[9128] * vX_[303] + vX_[2385] * vX_[275]) * 0.33 +
+ (vX_[8775] * vX_[275] + vX_[8624] * vX_[303]) * -0.33 + vX_[1712] * 0.08 + vX_[1712] * vX_[303] * 0.35 +
+ vX_[2408] * vX_[303] * 0.33 + vX_[8806] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[6941] = vX_[6717] - vX_[7148];
+ vX_[936] = vX_[7142] + vX_[6606];
+ vX_[950] = vX_[7137] + vX_[7900];
+ vX_[2046] = 0 - vX_[950];
+ vX_[7849] = vX_[6941] * vX_[273];
+ vX_[2775] = vX_[6941] * vX_[354];
+ vX_[2767] = vX_[7139] + vX_[6619];
+ vX_[2777] = vX_[5382] + vX_[5350];
+ vX_[7520] = vX_[7138] + vX_[6600];
+ vX_[8281] = vX_[7129] + vX_[7149];
+ vX_[7956] = vX_[8281] * vX_[354] + vX_[7520] * vX_[273];
+ vX_[8135] = vX_[8281] * vX_[367] + vX_[7520] * vX_[354];
+ vX_[2815] = vX_[5392] + vX_[5353];
+ vX_[2768] = 0 - (vX_[7136] + vX_[7147]) + vX_[2815];
+ vX_[7902] = vX_[5371] - vX_[7153];
+ vX_[2785] = vX_[7132] + vX_[6602];
+ vX_[2416] = vX_[5359] + vX_[5361];
+ vX_[8295] = 0 - vX_[2416];
+ vX_[560] = vX_[7902] * vX_[273];
+ vX_[9208] = vX_[7902] * vX_[354];
+ vX_[3247] = vX_[7333] * 0.881 + (0 - vX_[7335]) * 0.0004405 + vX_[7337] * -8.81e-05;
+ vX_[7102] = vX_[7331] * -0.881;
+ vX_[7094] = vX_[7335] * 0.1104774;
+ vX_[3226] = vX_[7339] * -8.81e-05;
+ vX_[6808] = vX_[7102] - vX_[7094] + vX_[3226];
+ vX_[6936] = vX_[3247] * vX_[1241] + vX_[6808] * vX_[1342];
+ vX_[3231] = vX_[7323] * 3.146 + (0 - vX_[7330]) * -0.0825825;
+ vX_[6953] = vX_[7322] * -3.146;
+ vX_[4004] = vX_[7330] * 0.47422804;
+ vX_[3245] = vX_[6953] - vX_[4004];
+ vX_[7031] = vX_[6936] + vX_[3231] * vX_[1547] + vX_[3245] * vX_[1616];
+ vX_[7082] = vX_[7310] * 3.44 + vX_[7313] * -0.5824264;
+ vX_[6522] = 0 - vX_[7082];
+ vX_[6938] = vX_[7301] * 3.44 + (0 - vX_[7313]) * 0.1466472;
+ vX_[6930] = vX_[7301] * vX_[370] + vX_[7277] * vX_[353] + vX_[7310] * vX_[362] + vX_[7313] * vX_[541] +
+ vX_[7315] * vX_[594];
+ vX_[6914] = vX_[7031] + vX_[6522] * vX_[1026] + vX_[6938] * vX_[1130] + vX_[6930] * x_in[27];
+ vX_[6894] = 0 - vX_[3247];
+ vX_[3226] = 0 - vX_[7102] + vX_[7094] - vX_[3226];
+ vX_[7094] = vX_[7320] * 0.0004405 + vX_[7331] * -8.81e-05 + vX_[7339] * -0.000227999999999999;
+ vX_[7102] = vX_[7320] * 0.1104774 + vX_[7333] * -8.81e-05 + (0 - vX_[7337]) * 0.025713;
+ vX_[2391] = (0 - vX_[7331]) * 0.0004405;
+ vX_[2368] = (0 - vX_[7333]) * 0.1104774;
+ vX_[909] = vX_[2391] + vX_[2368];
+ vX_[909] = vX_[6894] * vX_[2058] + vX_[3226] * vX_[1455] + vX_[7094] * vX_[1241] + vX_[7102] * vX_[1342] +
+ vX_[909] * vX_[1465] + vX_[909] * vX_[1465];
+ vX_[2403] = vX_[7320] * 0.881 + (0 - vX_[7337]) * 0.1104774 + vX_[7339] * 0.0004405;
+ vX_[2388] = vX_[7331] * 0.00185880198235362 + vX_[7333] * 0.880992588508842 + vX_[7337] * -8.81e-05;
+ vX_[6894] = vX_[6894] * vX_[1465] + vX_[2403] * vX_[1342] + vX_[2388] * x_in[29];
+ vX_[2390] = 0 - vX_[2403];
+ vX_[2402] = vX_[7331] * 0.414812462825713 + vX_[7333] * 0.00185880198235362 + vX_[7339] * 8.81e-05;
+ vX_[3226] = vX_[3226] * vX_[1465] + vX_[2390] * vX_[1241] - vX_[2402] * x_in[29];
+ vX_[2386] = 0 - vX_[3231];
+ vX_[4004] = 0 - vX_[6953] + vX_[4004];
+ vX_[6953] = vX_[7318] * -0.0825825 + (0 - vX_[7330]) * 0.000102 + vX_[7319] * 0.007418 + vX_[7328] * 0.002735;
+ vX_[2415] = vX_[7318] * 0.47422804 + vX_[7330] * 2.1e-05 + (0 - vX_[7319]) * 0.084376 + (0 - vX_[7328]) * 0.007418;
+ vX_[2414] = (0 - vX_[7322]) * -0.0825825;
+ vX_[9048] = (0 - vX_[7323]) * 0.47422804;
+ vX_[8802] = vX_[7319] * 0.000102;
+ vX_[8907] = (0 - vX_[7328]) * 2.1e-05;
+ vX_[1974] = vX_[2414] + vX_[9048] + vX_[8802] + vX_[8907];
+ vX_[1974] = vX_[909] + vX_[6894] * vX_[1388] + vX_[3226] * vX_[282] + vX_[2386] * vX_[1460] +
+ vX_[4004] * vX_[1116] + vX_[6953] * vX_[1547] + vX_[2415] * vX_[1616] + vX_[1974] * vX_[1109] +
+ vX_[1974] * vX_[1109];
+ vX_[2372] = vX_[7318] * 3.146 + (0 - vX_[7319]) * 0.47422804 + vX_[7328] * -0.0825825;
+ vX_[2377] = vX_[7322] * vX_[330] + vX_[7323] * vX_[329] + vX_[7319] * vX_[308] + vX_[7328] * vX_[302];
+ vX_[2386] = vX_[6894] * vX_[277] + vX_[3226] * vX_[279] + vX_[2386] * vX_[1109] + vX_[2372] * vX_[1616] +
+ vX_[2377] * x_in[28];
+ vX_[2371] = 0 - vX_[2372];
+ vX_[2370] = vX_[7322] * vX_[328] + vX_[7323] * vX_[330] + vX_[7319] * vX_[314] + vX_[7328] * vX_[313];
+ vX_[4004] = vX_[6894] * vX_[1380] + vX_[3226] * vX_[277] + vX_[4004] * vX_[1109] + vX_[2371] * vX_[1547] -
+ vX_[2370] * x_in[28];
+ vX_[2367] = 0 - vX_[6938];
+ vX_[2366] = vX_[7277] * -0.5824264 + (0 - vX_[7317]) * 0.022734 + vX_[7313] * 3.6e-05 + vX_[7315] * -0.133138;
+ vX_[2376] = vX_[7277] * 0.1466472 + vX_[7317] * 0.009466 + (0 - vX_[7313]) * -5.1e-05 + vX_[7315] * 0.022734;
+ vX_[2375] = (0 - vX_[7301]) * -0.5824264;
+ vX_[2374] = (0 - vX_[7310]) * 0.1466472;
+ vX_[2373] = (0 - vX_[7317]) * 3.6e-05;
+ vX_[1679] = (0 - vX_[7315]) * -5.1e-05;
+ vX_[624] = vX_[2375] + vX_[2374] + vX_[2373] - vX_[1679];
+ vX_[1872] = vX_[7301] * vX_[386] + vX_[7277] * vX_[540] + vX_[7310] * vX_[594] + vX_[7313] * vX_[593] +
+ vX_[7315] * vX_[350];
+ vX_[624] = vX_[1974] + vX_[2386] * vX_[1376] + vX_[4004] * vX_[321] + vX_[7082] * vX_[1767] +
+ vX_[2367] * vX_[1126] + vX_[2366] * vX_[1026] + vX_[2376] * vX_[1130] + vX_[624] * vX_[1274] +
+ vX_[624] * vX_[1274] + vX_[1872] * x_in[27];
+ vX_[505] = vX_[6724] - vX_[7153];
+ vX_[496] = vX_[505] * vX_[354] + vX_[2785] * vX_[273];
+ vX_[650] = vX_[505] * vX_[367] + vX_[2785] * vX_[354];
+ vX_[3676] = vX_[650] + vX_[560];
+ vX_[604] = vX_[496] * vX_[367] + vX_[3676] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[721] = 0 - vX_[604];
+ vX_[9330] = vX_[7153] + vX_[496] * vX_[354] + vX_[560] * vX_[273];
+ vX_[4100] = 0 - vX_[9330];
+ vX_[3674] = vX_[7153] + vX_[650] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[656] = vX_[7135] + vX_[7146] - vX_[2777];
+ vX_[3343] = vX_[2815] * vX_[354] + vX_[2777] * vX_[273];
+ vX_[1677] = 0 - (vX_[656] * vX_[367] + vX_[2768] * vX_[354]) + vX_[3343];
+ vX_[1681] = vX_[1677] + vX_[9330] * vX_[355];
+ vX_[3738] = 0 - vX_[1681];
+ vX_[1676] = vX_[2815] * vX_[367] + vX_[2777] * vX_[354];
+ vX_[3672] = vX_[656] * vX_[354] + vX_[2768] * vX_[273] + vX_[1676];
+ vX_[390] = 0 - vX_[3674];
+ vX_[3285] = vX_[3672] + vX_[604] * vX_[355] + vX_[390] * vX_[274];
+ vX_[3411] = vX_[7134] + vX_[6604];
+ vX_[2929] = vX_[2767] * vX_[354] + vX_[3411] * vX_[367];
+ vX_[8860] = vX_[2929] * vX_[354] + vX_[8135] * vX_[273];
+ vX_[723] = vX_[7112] + vX_[6987];
+ vX_[2416] = 0 - vX_[2416];
+ vX_[9118] = vX_[723] * vX_[367] + vX_[2416] * vX_[354];
+ vX_[9086] = 0 - vX_[9118];
+ vX_[1965] = vX_[8860] + vX_[9086] * vX_[274] + vX_[4100] * vX_[369];
+ vX_[1413] = 0 - vX_[1965];
+ vX_[3340] = vX_[2767] * vX_[273] + vX_[3411] * vX_[354];
+ vX_[3338] = vX_[3340] * vX_[367] + vX_[7956] * vX_[354];
+ vX_[1669] = vX_[723] * vX_[354] + vX_[8295] * vX_[273];
+ vX_[1670] = 0 - vX_[1669];
+ vX_[1964] = vX_[3338] + vX_[1670] * vX_[355] + vX_[3674] * vX_[369];
+ vX_[1750] = vX_[3340] * vX_[354] + vX_[7956] * vX_[273];
+ vX_[1748] = vX_[1750] + vX_[9118] * vX_[355];
+ vX_[1889] = vX_[2929] * vX_[367] + vX_[8135] * vX_[354];
+ vX_[1890] = vX_[1889] + vX_[1669] * vX_[274] + vX_[721] * vX_[369];
+ vX_[3092] = 0 - vX_[1748] + vX_[1890];
+ vX_[3109] = 0 - vX_[604];
+ vX_[3091] = 0 - vX_[9330];
+ vX_[4100] = vX_[721] * vX_[597] + vX_[4100] * vX_[543] + vX_[3674] * vX_[333] + vX_[3738] * vX_[370] +
+ vX_[3285] * vX_[381] + vX_[1413] * vX_[362] + vX_[1964] * vX_[356] + vX_[3092] * vX_[353] +
+ vX_[3109] * vX_[594] + vX_[604] * vX_[591] + vX_[3091] * vX_[542] + vX_[3674] * vX_[546];
+ vX_[721] = vX_[7277] * -3.44;
+ vX_[3182] = vX_[7317] * 0.1466472;
+ vX_[3178] = vX_[7315] * -0.5824264;
+ vX_[3238] = 0 - vX_[721] + vX_[3182] - vX_[3178];
+ vX_[3237] = vX_[7301] * vX_[381] + vX_[7277] * vX_[356] + vX_[7310] * vX_[353] + vX_[7313] * vX_[591] +
+ vX_[7315] * vX_[540];
+ vX_[2367] = vX_[2386] * vX_[1375] + vX_[4004] * vX_[303] + vX_[3238] * vX_[1026] + vX_[2367] * vX_[1274] -
+ vX_[3237] * x_in[27];
+ vX_[3268] = vX_[6724] + vX_[5371] + vX_[7153] - vX_[9330] - vX_[3674];
+ vX_[1905] = 0 - vX_[3268];
+ vX_[3343] = vX_[3343] + vX_[1905] * vX_[355];
+ vX_[1676] = vX_[1676] + vX_[3268] * vX_[274];
+ vX_[1915] = 0 - vX_[3285];
+ vX_[3005] = 0 - vX_[1964];
+ vX_[3264] = vX_[5363] + vX_[5367] + vX_[3411] + vX_[7520] - vX_[1750] - vX_[1889];
+ vX_[1890] = vX_[3264] - vX_[1890];
+ vX_[1956] = 0 - vX_[9118];
+ vX_[1913] = 0 - vX_[604];
+ vX_[1948] = 0 - vX_[3674];
+ vX_[3289] = vX_[6531] - vX_[7148];
+ vX_[1700] = vX_[7140] + vX_[7928];
+ vX_[3291] = vX_[3289] * vX_[354] + vX_[936] * vX_[273];
+ vX_[2086] = vX_[3289] * vX_[367] + vX_[936] * vX_[354];
+ vX_[7335] = vX_[7331] * 0.1104774 + vX_[7333] * 0.0004405 + vX_[7335] * 0.025941;
+ vX_[3331] = (0 - vX_[7320]) * -8.81e-05;
+ vX_[2368] = vX_[3331] + vX_[2368];
+ vX_[7339] = vX_[7320] * 0.0004405 + vX_[7331] * 8.81e-05 + vX_[7339] * 0.000468;
+ vX_[2368] = vX_[3247] * vX_[1309] + vX_[2390] * vX_[1455] + vX_[7094] * vX_[1465] + vX_[7335] * vX_[1342] +
+ vX_[2368] * vX_[1241] + vX_[2368] * vX_[1241] + vX_[7339] * x_in[29];
+ vX_[3331] = vX_[3331] + vX_[2391];
+ vX_[7337] = vX_[7320] * -0.1104774 + vX_[7333] * -8.81e-05 + vX_[7337] * 0.026409;
+ vX_[3331] = vX_[6808] * vX_[1309] + vX_[2403] * vX_[2058] + vX_[7102] * vX_[1465] + vX_[7335] * vX_[1241] +
+ vX_[3331] * vX_[1342] + vX_[3331] * vX_[1342] - vX_[7337] * x_in[29];
+ vX_[7335] = vX_[7322] * 0.47422804 + vX_[7323] * -0.0825825 + vX_[7330] * 0.081641 + (0 - vX_[7319]) * 2.1e-05 +
+ vX_[7328] * 0.000102;
+ vX_[2403] = (0 - vX_[7330]) * 0.007418;
+ vX_[8907] = vX_[9048] + vX_[2403] - vX_[8907];
+ vX_[9048] = vX_[7318] * vX_[297] + vX_[7322] * vX_[313] + vX_[7323] * vX_[302] + vX_[7319] * vX_[345] +
+ vX_[7328] * vX_[341];
+ vX_[8907] = vX_[6936] * -0.35 + vX_[2368] * vX_[277] + vX_[3331] * vX_[279] + vX_[3231] * vX_[1551] +
+ vX_[2371] * vX_[1116] + vX_[6953] * vX_[1109] + vX_[7335] * vX_[1616] + vX_[8907] * vX_[1547] +
+ vX_[8907] * vX_[1547] + vX_[9048] * x_in[28];
+ vX_[2403] = vX_[2414] - vX_[2403] - vX_[8802];
+ vX_[8802] = vX_[7318] * vX_[310] + vX_[7322] * vX_[314] + vX_[7323] * vX_[308] + vX_[7319] * vX_[339] +
+ vX_[7328] * vX_[345];
+ vX_[2403] = vX_[2368] * vX_[280] + vX_[3331] * vX_[277] + vX_[3245] * vX_[1551] + vX_[2372] * vX_[1460] +
+ vX_[2415] * vX_[1109] + vX_[7335] * vX_[1547] + vX_[2403] * vX_[1616] + vX_[2403] * vX_[1616] -
+ vX_[8802] * x_in[28];
+ vX_[3178] = vX_[721] - vX_[3182] + vX_[3178];
+ vX_[3182] = vX_[7301] * 0.1466472 + vX_[7310] * -0.5824264 + vX_[7317] * -5.1e-05 + (0 - vX_[7313]) * -0.123672 +
+ (0 - vX_[7315]) * 3.6e-05;
+ vX_[721] = vX_[7313] * 0.022734;
+ vX_[2373] = vX_[2375] - vX_[2373] - vX_[721];
+ vX_[2375] = vX_[7301] * vX_[324] + vX_[7277] * vX_[591] + vX_[7310] * vX_[541] + vX_[7313] * vX_[539] +
+ vX_[7315] * vX_[593];
+ vX_[2373] = vX_[8907] * vX_[276] + vX_[2403] * vX_[303] + vX_[3178] * vX_[1767] + vX_[6938] * vX_[1777] +
+ vX_[3182] * vX_[1026] + vX_[2376] * vX_[1274] + vX_[2373] * vX_[1130] + vX_[2373] * vX_[1130] -
+ vX_[2375] * x_in[27];
+ vX_[7366] = vX_[7366] * vX_[2050];
+ vX_[7367] = vX_[7367] * vX_[2050];
+ vX_[2376] = vX_[7366] * vX_[277] + vX_[7367] * vX_[279];
+ vX_[7368] = vX_[7368] * vX_[2050];
+ vX_[6938] = 0 - vX_[7368];
+ vX_[7338] = vX_[7338] * vX_[2045];
+ vX_[7335] = vX_[7338] * vX_[277];
+ vX_[2372] = vX_[7338] * vX_[279];
+ vX_[2415] = 0 - vX_[2372];
+ vX_[7354] = vX_[7354] * vX_[2057];
+ vX_[3245] = vX_[7354] * vX_[279];
+ vX_[7340] = vX_[7340] * vX_[2045];
+ vX_[2414] = vX_[7340] * vX_[277];
+ vX_[2371] = vX_[7340] * vX_[279];
+ vX_[6953] = 0 - vX_[7354];
+ vX_[3231] = vX_[6953] * vX_[277];
+ vX_[7355] = vX_[7355] * vX_[2057];
+ vX_[6936] = 0 - vX_[7355];
+ vX_[7102] = vX_[6936] * vX_[279];
+ vX_[6808] = vX_[7355] * vX_[277];
+ vX_[7342] = vX_[7342] * vX_[2047];
+ vX_[7333] = vX_[7366] + vX_[7342];
+ vX_[7343] = vX_[7343] * vX_[2047];
+ vX_[7320] = 0 - vX_[7367] - vX_[7343];
+ vX_[2391] = vX_[7333] * vX_[279] + vX_[7320] * vX_[277];
+ vX_[2390] = vX_[7342] * vX_[277] + vX_[7343] * vX_[279];
+ vX_[7360] = vX_[7360] * vX_[2057] + vX_[7348] * vX_[2045];
+ vX_[7348] = 0 - vX_[7360];
+ vX_[7094] = 0 - vX_[7360];
+ vX_[3247] = vX_[7094] * vX_[277];
+ vX_[7331] = vX_[7360] * vX_[279];
+ vX_[3645] = vX_[7361] * vX_[1520] + vX_[7495] * vX_[1470] + vX_[7498] * vX_[1504];
+ vX_[1737] = 0 - vX_[3645];
+ vX_[1715] = vX_[7361] * vX_[1606] + vX_[7495] * vX_[1505] + vX_[7498] * vX_[1464];
+ vX_[3302] = vX_[1737] * x_in[18] + vX_[1715] * x_in[19];
+ vX_[3151] = 0 - vX_[3302];
+ vX_[996] = 0 - vX_[3302];
+ vX_[1917] = vX_[996] * vX_[277];
+ vX_[3333] = vX_[3302] * vX_[1473];
+ vX_[7361] = vX_[7361] * vX_[1502] + vX_[7495] * vX_[1521] + vX_[7498] * vX_[1607];
+ jac[1039] = vX_[2370] * vX_[1000] + vX_[2377] * vX_[1460] + vX_[8802] * vX_[1149] + vX_[9048] * vX_[1547] +
+ vX_[1974] + vX_[7361] * vX_[1526] + vX_[3645] * vX_[1477] + vX_[1715] * vX_[1511];
+ jac[1075] = vX_[2402] * vX_[2052] + vX_[2388] * vX_[2058] + vX_[7337] * vX_[1609] + vX_[7339] * vX_[1241] +
+ vX_[909] + vX_[7361] * vX_[1535] + vX_[3645] * vX_[1488] + vX_[1715] * vX_[1508];
+ vX_[7337] = vX_[7361] * x_in[29];
+ vX_[7339] = vX_[7337] * vX_[277];
+ vX_[2402] = vX_[7337] * vX_[1473];
+ vX_[2388] = vX_[7361] * x_in[28];
+ vX_[909] = vX_[2388] * vX_[1473];
+ vX_[8802] = vX_[3645] * x_in[27];
+ vX_[9048] = vX_[2388] * vX_[277];
+ vX_[2370] = vX_[8802] * vX_[277];
+ vX_[2377] = vX_[8802] * vX_[1473];
+ vX_[1974] = vX_[7372] * vX_[1563];
+ vX_[7498] = 0 - vX_[1974];
+ vX_[7495] = 0 - vX_[1974];
+ vX_[1740] = vX_[7495] * vX_[277];
+ vX_[1684] = vX_[1974] * vX_[1473];
+ vX_[950] = 0 - vX_[950];
+ vX_[3643] = vX_[2086] + vX_[7849];
+ vX_[1900] = 0 - vX_[3343];
+ vX_[1725] = 0 - vX_[1676];
+ vX_[3264] = 0 - vX_[3264] + vX_[1748];
+ vX_[1748] = 0 - vX_[1669];
+ vX_[7332] = vX_[7332] * vX_[2045];
+ vX_[1735] = vX_[7332] * vX_[279];
+ vX_[7334] = vX_[7334] * vX_[2045];
+ vX_[1894] = vX_[7334] * vX_[277];
+ vX_[7336] = vX_[7336] * vX_[2045];
+ vX_[7353] = vX_[7353] * vX_[2057];
+ vX_[7369] = vX_[7369] * vX_[2050];
+ vX_[1716] = vX_[7369] * vX_[277];
+ vX_[1943] = vX_[7369] * vX_[279];
+ vX_[1941] = 0 - vX_[1943];
+ vX_[7358] = vX_[7358] * vX_[1435];
+ vX_[3515] = vX_[7358] * vX_[279];
+ vX_[7370] = vX_[7370] * vX_[2050];
+ vX_[3329] = vX_[7370] * vX_[277];
+ vX_[3644] = vX_[7370] * vX_[279];
+ vX_[3661] = 0 - vX_[7332] - vX_[7358];
+ vX_[7359] = vX_[7359] * vX_[1435];
+ vX_[1691] = 0 - vX_[7334] - vX_[7359];
+ vX_[1696] = vX_[3661] * vX_[277] + vX_[1691] * vX_[279];
+ vX_[1689] = vX_[7359] * vX_[277];
+ vX_[7356] = vX_[7356] * vX_[2057] + vX_[7347] * vX_[2050];
+ vX_[7347] = vX_[7356] * vX_[277];
+ vX_[1688] = 0 - vX_[1715];
+ vX_[1683] = vX_[7361] * x_in[18] + vX_[1688] * x_in[20];
+ vX_[1693] = vX_[1683] * vX_[1473];
+ vX_[1692] = vX_[7361] * x_in[27];
+ vX_[730] = vX_[3645] * x_in[29];
+ vX_[602] = 0 - vX_[730];
+ vX_[9345] = vX_[602] * vX_[277];
+ vX_[8862] = vX_[730] * vX_[1473];
+ vX_[9342] = vX_[3645] * x_in[28];
+ vX_[618] = 0 - vX_[9342];
+ vX_[9347] = vX_[1692] * vX_[277];
+ vX_[9324] = 0 - vX_[9342];
+ vX_[8705] = vX_[9324] * vX_[277];
+ vX_[1763] = vX_[1692] * vX_[1473];
+ vX_[637] = vX_[9342] * vX_[1473];
+ vX_[509] = vX_[7372] * vX_[1556];
+ vX_[1426] = vX_[1683] * vX_[277] + vX_[509] * vX_[277];
+ vX_[3666] = vX_[7356] * vX_[279] + vX_[509] * vX_[1473];
+ jac[355] =
+ 0 -
+ (vX_[7141] * vX_[1400] + vX_[7128] * vX_[1580] + vX_[6941] * vX_[711] + vX_[936] * vX_[713] +
+ vX_[2046] * vX_[370] + vX_[7849] * vX_[693] + vX_[2775] * vX_[353] + vX_[2767] * vX_[677] +
+ vX_[2777] * vX_[378] + vX_[7520] * vX_[655] + vX_[7956] * vX_[654] + vX_[8135] * vX_[651] +
+ vX_[2768] * vX_[387] + vX_[7902] * vX_[601] + vX_[2785] * vX_[603] + vX_[8295] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[6914] * x_in[22] + vX_[624] * x_in[19] +
+ (vX_[7133] * vX_[1400] + vX_[4100] * vX_[367] + vX_[6914] * x_in[20]) * 0.3735 -
+ (vX_[7143] * vX_[1279] + vX_[2367] * x_in[23]) + (vX_[7128] * vX_[1279] + vX_[2367] * x_in[19]) * 0.3735 +
+ (vX_[7159] * vX_[1279] + vX_[9086] * vX_[543] + vX_[1669] * vX_[597] + vX_[3268] * vX_[380] +
+ vX_[390] * vX_[382] + vX_[3343] * vX_[353] + vX_[1676] * vX_[362] + vX_[1915] * vX_[365] +
+ vX_[3005] * vX_[381] + vX_[1890] * vX_[370] + vX_[1956] * vX_[541] + vX_[1669] * vX_[594] +
+ vX_[1913] * vX_[324] + vX_[1948] * vX_[548] + vX_[2367] * x_in[18]) *
+ 0.207 -
+ (vX_[7133] * vX_[1574] + vX_[3289] * vX_[710] + vX_[1700] * vX_[686] + vX_[3291] * vX_[353] +
+ vX_[2086] * vX_[694] + vX_[8281] * vX_[652] + vX_[2815] * vX_[388] + vX_[3411] * vX_[678] +
+ vX_[3340] * vX_[653] + vX_[2929] * vX_[596] + vX_[656] * vX_[377] + vX_[505] * vX_[600] +
+ vX_[723] * vX_[630] + vX_[496] * vX_[598] + vX_[650] * vX_[549] + vX_[4100] * vX_[368] +
+ vX_[2373] * x_in[20]) +
+ vX_[7321] * vX_[2045] + vX_[7357] * vX_[1435] + vX_[2376] * vX_[275] + vX_[6938] * vX_[275] * 0.35 +
+ vX_[7368] * 0.3735 + vX_[7335] * 0.35 + vX_[7335] * vX_[303] * 0.08 + vX_[7335] * vX_[275] * -0.3735 +
+ vX_[2415] * vX_[303] * 0.3735 + vX_[2372] * vX_[275] * -0.08 + vX_[3245] * vX_[303] * -0.207 +
+ vX_[2414] * vX_[303] * 0.3735 + vX_[2414] * vX_[275] * 0.08 + vX_[2371] * 0.35 +
+ vX_[2371] * vX_[303] * 0.08 + vX_[2371] * vX_[275] * -0.3735 +
+ (vX_[3231] * vX_[275] + vX_[7102] * vX_[275]) * 0.207 + vX_[6808] * vX_[303] * 0.207 +
+ vX_[2391] * vX_[303] + vX_[2390] * vX_[275] + (0 - vX_[7360]) * 0.08 + vX_[7348] * vX_[303] * 0.35 +
+ vX_[3247] * vX_[303] * 0.33 + vX_[7331] * vX_[275] * 0.33 + (0 - vX_[3302]) * 0.08 +
+ vX_[3151] * vX_[303] * 0.35 + vX_[1917] * vX_[303] * 0.33 + vX_[3333] * vX_[275] * 0.33 +
+ vX_[7339] * vX_[275] * 0.33 + vX_[2402] * vX_[303] * 0.33 + vX_[2388] * vX_[275] * 0.35 +
+ vX_[909] * vX_[303] * 0.33 + vX_[8802] * 0.08 + vX_[8802] * vX_[303] * 0.35 +
+ (vX_[9048] * vX_[275] + vX_[2370] * vX_[303]) * 0.33 + vX_[2377] * vX_[275] * -0.33 +
+ (0 - vX_[1974]) * 0.08 + vX_[7498] * vX_[303] * 0.35 + vX_[1740] * vX_[303] * 0.33 +
+ vX_[1684] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[7143] * vX_[1400] + vX_[7141] * vX_[1279] + vX_[7133] * vX_[1580] + vX_[7128] * vX_[1574] +
+ vX_[3289] * vX_[713] + vX_[6941] * vX_[709] + vX_[936] * vX_[710] + vX_[1700] * vX_[370] +
+ vX_[950] * vX_[686] + vX_[3291] * vX_[693] + vX_[3643] * vX_[353] + vX_[2775] * vX_[694] +
+ vX_[2767] * vX_[678] + vX_[8281] * vX_[655] + vX_[2815] * vX_[378] + vX_[2777] * vX_[388] +
+ vX_[3411] * vX_[677] + vX_[7520] * vX_[652] + vX_[3340] * vX_[654] + vX_[2929] * vX_[651] +
+ vX_[7956] * vX_[653] + vX_[8135] * vX_[596] + vX_[656] * vX_[387] + vX_[2768] * vX_[377] +
+ vX_[505] * vX_[603] + vX_[7902] * vX_[599] + vX_[2785] * vX_[600] + vX_[723] * vX_[631] +
+ vX_[2416] * vX_[630] + vX_[496] * vX_[545] + vX_[3676] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[4100] * vX_[366] +
+ (vX_[9118] * vX_[595] + vX_[1670] * vX_[333] + vX_[604] * vX_[382] + vX_[1905] * vX_[357] +
+ vX_[9330] * vX_[371] + vX_[1900] * vX_[356] + vX_[1681] * vX_[365] + vX_[1725] * vX_[353] +
+ vX_[1965] * vX_[370] + vX_[3264] * vX_[381] + vX_[9118] * vX_[591] + vX_[1748] * vX_[540] +
+ vX_[604] * vX_[386] + vX_[9330] * vX_[537]) *
+ 0.207 +
+ vX_[6914] * x_in[23] + vX_[2367] * x_in[22] + vX_[624] * x_in[20] + vX_[2373] * x_in[19] +
+ (vX_[7128] * vX_[1400] + vX_[4100] * vX_[354] + vX_[6914] * x_in[19]) * -0.3735 +
+ (vX_[7159] * vX_[1400] + vX_[6914] * x_in[18]) * -0.207 +
+ (vX_[7133] * vX_[1279] + vX_[2367] * x_in[20]) * 0.3735 + vX_[7365] * vX_[2050] + vX_[7341] * vX_[2047] -
+ vX_[1735] * vX_[303] + vX_[1894] * vX_[303] + (0 - vX_[7336]) * 0.3735 + vX_[7336] * vX_[275] * 0.35 +
+ (0 - vX_[7353]) * 0.207 + vX_[1716] * 0.35 + vX_[1716] * vX_[303] * 0.08 + vX_[1716] * vX_[275] * -0.3735 +
+ vX_[1941] * vX_[303] * 0.3735 + (0 - vX_[1943] * vX_[275]) * 0.08 - vX_[3515] * vX_[303] +
+ vX_[3329] * vX_[303] * 0.3735 + vX_[3329] * vX_[275] * 0.08 + vX_[3644] * 0.35 +
+ vX_[3644] * vX_[303] * 0.08 + vX_[3644] * vX_[275] * -0.3735 + vX_[1696] * vX_[275] + vX_[1689] * vX_[303] +
+ vX_[7356] * 0.08 + vX_[7356] * vX_[303] * 0.35 + vX_[7347] * vX_[303] * 0.33 + vX_[1683] * 0.08 +
+ vX_[1683] * vX_[303] * 0.35 + vX_[1693] * vX_[275] * -0.33 + vX_[1692] * 0.08 +
+ vX_[1692] * vX_[303] * 0.35 + vX_[9345] * vX_[275] * 0.33 + vX_[8862] * vX_[303] * -0.33 +
+ vX_[618] * vX_[275] * 0.35 + (vX_[9347] * vX_[303] + vX_[8705] * vX_[275]) * 0.33 +
+ (vX_[1763] * vX_[275] + vX_[637] * vX_[303]) * -0.33 + vX_[509] * 0.08 + vX_[509] * vX_[303] * 0.35 +
+ vX_[1426] * vX_[303] * 0.33 + vX_[3666] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[7368] = vX_[7144] - vX_[7575];
+ vX_[3289] = vX_[7569] + vX_[5327];
+ vX_[1905] = vX_[7564] + vX_[6647];
+ vX_[3268] = 0 - vX_[1905];
+ vX_[4100] = vX_[7368] * vX_[273];
+ vX_[1670] = vX_[7368] * vX_[354];
+ vX_[3340] = vX_[7566] + vX_[5340];
+ vX_[9086] = vX_[2869] + vX_[2868];
+ vX_[2416] = vX_[7565] + vX_[5338];
+ vX_[723] = vX_[7556] + vX_[7576];
+ vX_[2929] = vX_[723] * vX_[354] + vX_[2416] * vX_[273];
+ vX_[3411] = vX_[723] * vX_[367] + vX_[2416] * vX_[354];
+ vX_[390] = vX_[2910] + vX_[2878];
+ vX_[656] = 0 - (vX_[7563] + vX_[7574]) + vX_[390];
+ vX_[3676] = vX_[2889] - vX_[7580];
+ vX_[650] = vX_[7559] + vX_[5323];
+ vX_[496] = vX_[2855] + vX_[2848];
+ vX_[505] = 0 - vX_[496];
+ vX_[9208] = vX_[3676] * vX_[273];
+ vX_[560] = vX_[3676] * vX_[354];
+ vX_[8295] = vX_[7760] * 0.881 + (0 - vX_[7762]) * 0.0004405 + vX_[7764] * -8.81e-05;
+ vX_[2785] = vX_[7758] * -0.881;
+ vX_[7902] = vX_[7762] * 0.1104774;
+ vX_[2768] = vX_[7766] * -8.81e-05;
+ vX_[2815] = vX_[2785] - vX_[7902] + vX_[2768];
+ vX_[8135] = vX_[8295] * vX_[1241] + vX_[2815] * vX_[1342];
+ vX_[7956] = vX_[7750] * 3.146 + (0 - vX_[7757]) * -0.0825825;
+ vX_[8281] = vX_[7749] * -3.146;
+ vX_[7520] = vX_[7757] * 0.47422804;
+ vX_[2777] = vX_[8281] - vX_[7520];
+ vX_[2767] = vX_[8135] + vX_[7956] * vX_[1547] + vX_[2777] * vX_[1616];
+ vX_[936] = vX_[7737] * 3.44 + vX_[7740] * -0.5824264;
+ vX_[6941] = 0 - vX_[936];
+ vX_[7365] = vX_[7728] * 3.44 + (0 - vX_[7740]) * 0.1466472;
+ vX_[7357] = vX_[7728] * vX_[370] + vX_[7704] * vX_[353] + vX_[7737] * vX_[362] + vX_[7740] * vX_[541] +
+ vX_[7742] * vX_[594];
+ vX_[7341] = vX_[2767] + vX_[6941] * vX_[1026] + vX_[7365] * vX_[1130] + vX_[7357] * x_in[27];
+ vX_[7321] = 0 - vX_[8295];
+ vX_[2768] = 0 - vX_[2785] + vX_[7902] - vX_[2768];
+ vX_[7902] = vX_[7747] * 0.0004405 + vX_[7758] * -8.81e-05 + vX_[7766] * -0.000227999999999999;
+ vX_[2785] = vX_[7747] * 0.1104774 + vX_[7760] * -8.81e-05 + (0 - vX_[7764]) * 0.025713;
+ vX_[9378] = (0 - vX_[7758]) * 0.0004405;
+ vX_[9377] = (0 - vX_[7760]) * 0.1104774;
+ vX_[9374] = vX_[9378] + vX_[9377];
+ vX_[9374] = vX_[7321] * vX_[2058] + vX_[2768] * vX_[1455] + vX_[7902] * vX_[1241] + vX_[2785] * vX_[1342] +
+ vX_[9374] * vX_[1465] + vX_[9374] * vX_[1465];
+ vX_[9373] = vX_[7747] * 0.881 + (0 - vX_[7764]) * 0.1104774 + vX_[7766] * 0.0004405;
+ vX_[9372] = vX_[7758] * 0.00185880198235362 + vX_[7760] * 0.880992588508842 + vX_[7764] * -8.81e-05;
+ vX_[7321] = vX_[7321] * vX_[1465] + vX_[9373] * vX_[1342] + vX_[9372] * x_in[29];
+ vX_[9371] = 0 - vX_[9373];
+ vX_[9369] = vX_[7758] * 0.414812462825713 + vX_[7760] * 0.00185880198235362 + vX_[7766] * 8.81e-05;
+ vX_[2768] = vX_[2768] * vX_[1465] + vX_[9371] * vX_[1241] - vX_[9369] * x_in[29];
+ vX_[9368] = 0 - vX_[7956];
+ vX_[7520] = 0 - vX_[8281] + vX_[7520];
+ vX_[8281] = vX_[7745] * -0.0825825 + (0 - vX_[7757]) * 0.000102 + vX_[7746] * 0.007418 + vX_[7755] * 0.002735;
+ vX_[9366] = vX_[7745] * 0.47422804 + vX_[7757] * 2.1e-05 + (0 - vX_[7746]) * 0.084376 + (0 - vX_[7755]) * 0.007418;
+ vX_[9364] = (0 - vX_[7749]) * -0.0825825;
+ vX_[9363] = (0 - vX_[7750]) * 0.47422804;
+ vX_[1617] = vX_[7746] * 0.000102;
+ vX_[8684] = (0 - vX_[7755]) * 2.1e-05;
+ vX_[9097] = vX_[9364] + vX_[9363] + vX_[1617] + vX_[8684];
+ vX_[9097] = vX_[9374] + vX_[7321] * vX_[1388] + vX_[2768] * vX_[282] + vX_[9368] * vX_[1460] +
+ vX_[7520] * vX_[1116] + vX_[8281] * vX_[1547] + vX_[9366] * vX_[1616] + vX_[9097] * vX_[1109] +
+ vX_[9097] * vX_[1109];
+ vX_[9084] = vX_[7745] * 3.146 + (0 - vX_[7746]) * 0.47422804 + vX_[7755] * -0.0825825;
+ vX_[9350] = vX_[7749] * vX_[330] + vX_[7750] * vX_[329] + vX_[7746] * vX_[308] + vX_[7755] * vX_[302];
+ vX_[9368] = vX_[7321] * vX_[277] + vX_[2768] * vX_[279] + vX_[9368] * vX_[1109] + vX_[9084] * vX_[1616] +
+ vX_[9350] * x_in[28];
+ vX_[1831] = 0 - vX_[9084];
+ vX_[1921] = vX_[7749] * vX_[328] + vX_[7750] * vX_[330] + vX_[7746] * vX_[314] + vX_[7755] * vX_[313];
+ vX_[7520] = vX_[7321] * vX_[1380] + vX_[2768] * vX_[277] + vX_[7520] * vX_[1109] + vX_[1831] * vX_[1547] -
+ vX_[1921] * x_in[28];
+ vX_[1812] = 0 - vX_[7365];
+ vX_[1555] = vX_[7704] * -0.5824264 + (0 - vX_[7744]) * 0.022734 + vX_[7740] * 3.6e-05 + vX_[7742] * -0.133138;
+ vX_[1549] = vX_[7704] * 0.1466472 + vX_[7744] * 0.009466 + (0 - vX_[7740]) * -5.1e-05 + vX_[7742] * 0.022734;
+ vX_[1788] = (0 - vX_[7728]) * -0.5824264;
+ vX_[9103] = (0 - vX_[7737]) * 0.1466472;
+ vX_[1821] = (0 - vX_[7744]) * 3.6e-05;
+ vX_[1835] = (0 - vX_[7742]) * -5.1e-05;
+ vX_[1708] = vX_[1788] + vX_[9103] + vX_[1821] - vX_[1835];
+ vX_[9357] = vX_[7728] * vX_[386] + vX_[7704] * vX_[540] + vX_[7737] * vX_[594] + vX_[7740] * vX_[593] +
+ vX_[7742] * vX_[350];
+ vX_[1708] = vX_[9097] + vX_[9368] * vX_[1376] + vX_[7520] * vX_[321] + vX_[936] * vX_[1767] +
+ vX_[1812] * vX_[1126] + vX_[1555] * vX_[1026] + vX_[1549] * vX_[1130] + vX_[1708] * vX_[1274] +
+ vX_[1708] * vX_[1274] + vX_[9357] * x_in[27];
+ vX_[460] = vX_[7151] - vX_[7580];
+ vX_[1799] = vX_[460] * vX_[354] + vX_[650] * vX_[273];
+ vX_[1818] = vX_[460] * vX_[367] + vX_[650] * vX_[354];
+ vX_[1845] = vX_[1818] + vX_[9208];
+ vX_[1931] = vX_[1799] * vX_[367] + vX_[1845] * vX_[354] + vX_[560] * vX_[273];
+ vX_[6] = 0 - vX_[1931];
+ vX_[1739] = vX_[7580] + vX_[1799] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[9352] = 0 - vX_[1739];
+ vX_[9089] = vX_[7580] + vX_[1818] * vX_[367] + vX_[560] * vX_[354];
+ vX_[9083] = vX_[7562] + vX_[7573] - vX_[9086];
+ vX_[46] = vX_[390] * vX_[354] + vX_[9086] * vX_[273];
+ vX_[1815] = 0 - (vX_[9083] * vX_[367] + vX_[656] * vX_[354]) + vX_[46];
+ vX_[1305] = vX_[1815] + vX_[1739] * vX_[355];
+ vX_[4114] = 0 - vX_[1305];
+ vX_[9098] = vX_[390] * vX_[367] + vX_[9086] * vX_[354];
+ vX_[559] = vX_[9083] * vX_[354] + vX_[656] * vX_[273] + vX_[9098];
+ vX_[9354] = 0 - vX_[9089];
+ vX_[9201] = vX_[559] + vX_[1931] * vX_[355] + vX_[9354] * vX_[274];
+ vX_[9243] = vX_[7561] + vX_[5342];
+ vX_[9355] = vX_[3340] * vX_[354] + vX_[9243] * vX_[367];
+ vX_[464] = vX_[9355] * vX_[354] + vX_[3411] * vX_[273];
+ vX_[4117] = vX_[7540] + vX_[7414];
+ vX_[496] = 0 - vX_[496];
+ vX_[1140] = vX_[4117] * vX_[367] + vX_[496] * vX_[354];
+ vX_[9329] = 0 - vX_[1140];
+ vX_[8427] = vX_[464] + vX_[9329] * vX_[274] + vX_[9352] * vX_[369];
+ vX_[9085] = 0 - vX_[8427];
+ vX_[1698] = vX_[3340] * vX_[273] + vX_[9243] * vX_[354];
+ vX_[552] = vX_[1698] * vX_[367] + vX_[2929] * vX_[354];
+ vX_[9191] = vX_[4117] * vX_[354] + vX_[505] * vX_[273];
+ vX_[9328] = 0 - vX_[9191];
+ vX_[1732] = vX_[552] + vX_[9328] * vX_[355] + vX_[9089] * vX_[369];
+ vX_[1723] = vX_[1698] * vX_[354] + vX_[2929] * vX_[273];
+ vX_[831] = vX_[1723] + vX_[1140] * vX_[355];
+ vX_[1940] = vX_[9355] * vX_[367] + vX_[3411] * vX_[354];
+ vX_[5] = vX_[1940] + vX_[9191] * vX_[274] + vX_[6] * vX_[369];
+ vX_[9063] = 0 - vX_[831] + vX_[5];
+ vX_[9064] = 0 - vX_[1931];
+ vX_[9060] = 0 - vX_[1739];
+ vX_[9352] = vX_[6] * vX_[597] + vX_[9352] * vX_[543] + vX_[9089] * vX_[333] + vX_[4114] * vX_[370] +
+ vX_[9201] * vX_[381] + vX_[9085] * vX_[362] + vX_[1732] * vX_[356] + vX_[9063] * vX_[353] +
+ vX_[9064] * vX_[594] + vX_[1931] * vX_[591] + vX_[9060] * vX_[542] + vX_[9089] * vX_[546];
+ vX_[6] = vX_[7704] * -3.44;
+ vX_[1658] = vX_[7744] * 0.1466472;
+ vX_[1519] = vX_[7742] * -0.5824264;
+ vX_[1961] = 0 - vX_[6] + vX_[1658] - vX_[1519];
+ vX_[1960] = vX_[7728] * vX_[381] + vX_[7704] * vX_[356] + vX_[7737] * vX_[353] + vX_[7740] * vX_[591] +
+ vX_[7742] * vX_[540];
+ vX_[1812] = vX_[9368] * vX_[1375] + vX_[7520] * vX_[303] + vX_[1961] * vX_[1026] + vX_[1812] * vX_[1274] -
+ vX_[1960] * x_in[27];
+ vX_[1958] = vX_[7151] + vX_[2889] + vX_[7580] - vX_[1739] - vX_[9089];
+ vX_[1957] = 0 - vX_[1958];
+ vX_[46] = vX_[46] + vX_[1957] * vX_[355];
+ vX_[9098] = vX_[9098] + vX_[1958] * vX_[274];
+ vX_[1953] = 0 - vX_[9201];
+ vX_[1952] = 0 - vX_[1732];
+ vX_[1950] = vX_[2859] + vX_[2851] + vX_[9243] + vX_[2416] - vX_[1723] - vX_[1940];
+ vX_[5] = vX_[1950] - vX_[5];
+ vX_[1949] = 0 - vX_[1140];
+ vX_[1946] = 0 - vX_[1931];
+ vX_[1910] = 0 - vX_[9089];
+ vX_[1908] = vX_[5329] - vX_[7575];
+ vX_[1906] = vX_[7567] + vX_[6665];
+ vX_[1901] = vX_[1908] * vX_[354] + vX_[3289] * vX_[273];
+ vX_[1897] = vX_[1908] * vX_[367] + vX_[3289] * vX_[354];
+ vX_[7762] = vX_[7758] * 0.1104774 + vX_[7760] * 0.0004405 + vX_[7762] * 0.025941;
+ vX_[1895] = (0 - vX_[7747]) * -8.81e-05;
+ vX_[9377] = vX_[1895] + vX_[9377];
+ vX_[7766] = vX_[7747] * 0.0004405 + vX_[7758] * 8.81e-05 + vX_[7766] * 0.000468;
+ vX_[9377] = vX_[8295] * vX_[1309] + vX_[9371] * vX_[1455] + vX_[7902] * vX_[1465] + vX_[7762] * vX_[1342] +
+ vX_[9377] * vX_[1241] + vX_[9377] * vX_[1241] + vX_[7766] * x_in[29];
+ vX_[1895] = vX_[1895] + vX_[9378];
+ vX_[7764] = vX_[7747] * -0.1104774 + vX_[7760] * -8.81e-05 + vX_[7764] * 0.026409;
+ vX_[1895] = vX_[2815] * vX_[1309] + vX_[9373] * vX_[2058] + vX_[2785] * vX_[1465] + vX_[7762] * vX_[1241] +
+ vX_[1895] * vX_[1342] + vX_[1895] * vX_[1342] - vX_[7764] * x_in[29];
+ vX_[7762] = vX_[7749] * 0.47422804 + vX_[7750] * -0.0825825 + vX_[7757] * 0.081641 + (0 - vX_[7746]) * 2.1e-05 +
+ vX_[7755] * 0.000102;
+ vX_[9373] = (0 - vX_[7757]) * 0.007418;
+ vX_[8684] = vX_[9363] + vX_[9373] - vX_[8684];
+ vX_[9363] = vX_[7745] * vX_[297] + vX_[7749] * vX_[313] + vX_[7750] * vX_[302] + vX_[7746] * vX_[345] +
+ vX_[7755] * vX_[341];
+ vX_[8684] = vX_[8135] * -0.35 + vX_[9377] * vX_[277] + vX_[1895] * vX_[279] + vX_[7956] * vX_[1551] +
+ vX_[1831] * vX_[1116] + vX_[8281] * vX_[1109] + vX_[7762] * vX_[1616] + vX_[8684] * vX_[1547] +
+ vX_[8684] * vX_[1547] + vX_[9363] * x_in[28];
+ vX_[9373] = vX_[9364] - vX_[9373] - vX_[1617];
+ vX_[1617] = vX_[7745] * vX_[310] + vX_[7749] * vX_[314] + vX_[7750] * vX_[308] + vX_[7746] * vX_[339] +
+ vX_[7755] * vX_[345];
+ vX_[9373] = vX_[9377] * vX_[280] + vX_[1895] * vX_[277] + vX_[2777] * vX_[1551] + vX_[9084] * vX_[1460] +
+ vX_[9366] * vX_[1109] + vX_[7762] * vX_[1547] + vX_[9373] * vX_[1616] + vX_[9373] * vX_[1616] -
+ vX_[1617] * x_in[28];
+ vX_[1519] = vX_[6] - vX_[1658] + vX_[1519];
+ vX_[1658] = vX_[7728] * 0.1466472 + vX_[7737] * -0.5824264 + vX_[7744] * -5.1e-05 + (0 - vX_[7740]) * -0.123672 +
+ (0 - vX_[7742]) * 3.6e-05;
+ vX_[6] = vX_[7740] * 0.022734;
+ vX_[1821] = vX_[1788] - vX_[1821] - vX_[6];
+ vX_[1788] = vX_[7728] * vX_[324] + vX_[7704] * vX_[591] + vX_[7737] * vX_[541] + vX_[7740] * vX_[539] +
+ vX_[7742] * vX_[593];
+ vX_[1821] = vX_[8684] * vX_[276] + vX_[9373] * vX_[303] + vX_[1519] * vX_[1767] + vX_[7365] * vX_[1777] +
+ vX_[1658] * vX_[1026] + vX_[1549] * vX_[1274] + vX_[1821] * vX_[1130] + vX_[1821] * vX_[1130] -
+ vX_[1788] * x_in[27];
+ vX_[7793] = vX_[7793] * vX_[2050];
+ vX_[7794] = vX_[7794] * vX_[2050];
+ vX_[1549] = vX_[7793] * vX_[277] + vX_[7794] * vX_[279];
+ vX_[7795] = vX_[7795] * vX_[2050];
+ vX_[7365] = 0 - vX_[7795];
+ vX_[7765] = vX_[7765] * vX_[2045];
+ vX_[7762] = vX_[7765] * vX_[277];
+ vX_[9084] = vX_[7765] * vX_[279];
+ vX_[9366] = 0 - vX_[9084];
+ vX_[7781] = vX_[7781] * vX_[2057];
+ vX_[2777] = vX_[7781] * vX_[279];
+ vX_[7767] = vX_[7767] * vX_[2045];
+ vX_[9364] = vX_[7767] * vX_[277];
+ vX_[1831] = vX_[7767] * vX_[279];
+ vX_[8281] = 0 - vX_[7781];
+ vX_[7956] = vX_[8281] * vX_[277];
+ vX_[7782] = vX_[7782] * vX_[2057];
+ vX_[8135] = 0 - vX_[7782];
+ vX_[2785] = vX_[8135] * vX_[279];
+ vX_[2815] = vX_[7782] * vX_[277];
+ vX_[7769] = vX_[7769] * vX_[2047];
+ vX_[7760] = vX_[7793] + vX_[7769];
+ vX_[7770] = vX_[7770] * vX_[2047];
+ vX_[7747] = 0 - vX_[7794] - vX_[7770];
+ vX_[9378] = vX_[7760] * vX_[279] + vX_[7747] * vX_[277];
+ vX_[9371] = vX_[7769] * vX_[277] + vX_[7770] * vX_[279];
+ vX_[7787] = vX_[7787] * vX_[2057] + vX_[7775] * vX_[2045];
+ vX_[7775] = 0 - vX_[7787];
+ vX_[7902] = 0 - vX_[7787];
+ vX_[8295] = vX_[7902] * vX_[277];
+ vX_[7758] = vX_[7787] * vX_[279];
+ vX_[1881] = vX_[7788] * vX_[1520] + vX_[7922] * vX_[1470] + vX_[7925] * vX_[1504];
+ vX_[1879] = 0 - vX_[1881];
+ vX_[1877] = vX_[7788] * vX_[1606] + vX_[7922] * vX_[1505] + vX_[7925] * vX_[1464];
+ vX_[1869] = vX_[1879] * x_in[18] + vX_[1877] * x_in[19];
+ vX_[1867] = 0 - vX_[1869];
+ vX_[1843] = 0 - vX_[1869];
+ vX_[1841] = vX_[1843] * vX_[277];
+ vX_[1839] = vX_[1869] * vX_[1473];
+ vX_[7788] = vX_[7788] * vX_[1502] + vX_[7922] * vX_[1521] + vX_[7925] * vX_[1607];
+ jac[1040] = vX_[1921] * vX_[1000] + vX_[9350] * vX_[1460] + vX_[1617] * vX_[1149] + vX_[9363] * vX_[1547] +
+ vX_[9097] + vX_[7788] * vX_[1526] + vX_[1881] * vX_[1477] + vX_[1877] * vX_[1511];
+ jac[1076] = vX_[9369] * vX_[2052] + vX_[9372] * vX_[2058] + vX_[7764] * vX_[1609] + vX_[7766] * vX_[1241] +
+ vX_[9374] + vX_[7788] * vX_[1535] + vX_[1881] * vX_[1488] + vX_[1877] * vX_[1508];
+ vX_[7764] = vX_[7788] * x_in[29];
+ vX_[7766] = vX_[7764] * vX_[277];
+ vX_[9369] = vX_[7764] * vX_[1473];
+ vX_[9372] = vX_[7788] * x_in[28];
+ vX_[9374] = vX_[9372] * vX_[1473];
+ vX_[1617] = vX_[1881] * x_in[27];
+ vX_[9363] = vX_[9372] * vX_[277];
+ vX_[1921] = vX_[1617] * vX_[277];
+ vX_[9350] = vX_[1617] * vX_[1473];
+ vX_[9097] = vX_[7799] * vX_[1563];
+ vX_[7925] = 0 - vX_[9097];
+ vX_[7922] = 0 - vX_[9097];
+ vX_[1837] = vX_[7922] * vX_[277];
+ vX_[1834] = vX_[9097] * vX_[1473];
+ vX_[1905] = 0 - vX_[1905];
+ vX_[1826] = vX_[1897] + vX_[4100];
+ vX_[1824] = 0 - vX_[46];
+ vX_[1822] = 0 - vX_[9098];
+ vX_[1950] = 0 - vX_[1950] + vX_[831];
+ vX_[831] = 0 - vX_[9191];
+ vX_[7759] = vX_[7759] * vX_[2045];
+ vX_[1807] = vX_[7759] * vX_[279];
+ vX_[7761] = vX_[7761] * vX_[2045];
+ vX_[1805] = vX_[7761] * vX_[277];
+ vX_[7763] = vX_[7763] * vX_[2045];
+ vX_[7780] = vX_[7780] * vX_[2057];
+ vX_[7796] = vX_[7796] * vX_[2050];
+ vX_[1803] = vX_[7796] * vX_[277];
+ vX_[1797] = vX_[7796] * vX_[279];
+ vX_[1795] = 0 - vX_[1797];
+ vX_[7785] = vX_[7785] * vX_[1435];
+ vX_[1793] = vX_[7785] * vX_[279];
+ vX_[7797] = vX_[7797] * vX_[2050];
+ vX_[1791] = vX_[7797] * vX_[277];
+ vX_[1789] = vX_[7797] * vX_[279];
+ vX_[1787] = 0 - vX_[7759] - vX_[7785];
+ vX_[7786] = vX_[7786] * vX_[1435];
+ vX_[1785] = 0 - vX_[7761] - vX_[7786];
+ vX_[1783] = vX_[1787] * vX_[277] + vX_[1785] * vX_[279];
+ vX_[1760] = vX_[7786] * vX_[277];
+ vX_[7783] = vX_[7783] * vX_[2057] + vX_[7774] * vX_[2050];
+ vX_[7774] = vX_[7783] * vX_[277];
+ vX_[1758] = 0 - vX_[1877];
+ vX_[1756] = vX_[7788] * x_in[18] + vX_[1758] * x_in[20];
+ vX_[1730] = vX_[1756] * vX_[1473];
+ vX_[1729] = vX_[7788] * x_in[27];
+ vX_[1727] = vX_[1881] * x_in[29];
+ vX_[1726] = 0 - vX_[1727];
+ vX_[1721] = vX_[1726] * vX_[277];
+ vX_[1720] = vX_[1727] * vX_[1473];
+ vX_[1718] = vX_[1881] * x_in[28];
+ vX_[1717] = 0 - vX_[1718];
+ vX_[1713] = vX_[1729] * vX_[277];
+ vX_[1702] = 0 - vX_[1718];
+ vX_[606] = vX_[1702] * vX_[277];
+ vX_[494] = vX_[1729] * vX_[1473];
+ vX_[504] = vX_[1718] * vX_[1473];
+ vX_[503] = vX_[7799] * vX_[1556];
+ vX_[495] = vX_[1756] * vX_[277] + vX_[503] * vX_[277];
+ vX_[493] = vX_[7783] * vX_[279] + vX_[503] * vX_[1473];
+ jac[356] =
+ 0 -
+ (vX_[7568] * vX_[1400] + vX_[7555] * vX_[1580] + vX_[7368] * vX_[711] + vX_[3289] * vX_[713] +
+ vX_[3268] * vX_[370] + vX_[4100] * vX_[693] + vX_[1670] * vX_[353] + vX_[3340] * vX_[677] +
+ vX_[9086] * vX_[378] + vX_[2416] * vX_[655] + vX_[2929] * vX_[654] + vX_[3411] * vX_[651] +
+ vX_[656] * vX_[387] + vX_[3676] * vX_[601] + vX_[650] * vX_[603] + vX_[505] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[7341] * x_in[22] + vX_[1708] * x_in[19] +
+ (vX_[7560] * vX_[1400] + vX_[9352] * vX_[367] + vX_[7341] * x_in[20]) * 0.3735 -
+ (vX_[7570] * vX_[1279] + vX_[1812] * x_in[23]) + (vX_[7555] * vX_[1279] + vX_[1812] * x_in[19]) * 0.3735 +
+ (vX_[7586] * vX_[1279] + vX_[9329] * vX_[543] + vX_[9191] * vX_[597] + vX_[1958] * vX_[380] +
+ vX_[9354] * vX_[382] + vX_[46] * vX_[353] + vX_[9098] * vX_[362] + vX_[1953] * vX_[365] +
+ vX_[1952] * vX_[381] + vX_[5] * vX_[370] + vX_[1949] * vX_[541] + vX_[9191] * vX_[594] +
+ vX_[1946] * vX_[324] + vX_[1910] * vX_[548] + vX_[1812] * x_in[18]) *
+ 0.207 -
+ (vX_[7560] * vX_[1574] + vX_[1908] * vX_[710] + vX_[1906] * vX_[686] + vX_[1901] * vX_[353] +
+ vX_[1897] * vX_[694] + vX_[723] * vX_[652] + vX_[390] * vX_[388] + vX_[9243] * vX_[678] +
+ vX_[1698] * vX_[653] + vX_[9355] * vX_[596] + vX_[9083] * vX_[377] + vX_[460] * vX_[600] +
+ vX_[4117] * vX_[630] + vX_[1799] * vX_[598] + vX_[1818] * vX_[549] + vX_[9352] * vX_[368] +
+ vX_[1821] * x_in[20]) +
+ vX_[7748] * vX_[2045] + vX_[7784] * vX_[1435] + vX_[1549] * vX_[275] + vX_[7365] * vX_[275] * 0.35 +
+ vX_[7795] * 0.3735 + vX_[7762] * 0.35 + vX_[7762] * vX_[303] * 0.08 + vX_[7762] * vX_[275] * -0.3735 +
+ vX_[9366] * vX_[303] * 0.3735 + vX_[9084] * vX_[275] * -0.08 + vX_[2777] * vX_[303] * -0.207 +
+ vX_[9364] * vX_[303] * 0.3735 + vX_[9364] * vX_[275] * 0.08 + vX_[1831] * 0.35 +
+ vX_[1831] * vX_[303] * 0.08 + vX_[1831] * vX_[275] * -0.3735 +
+ (vX_[7956] * vX_[275] + vX_[2785] * vX_[275]) * 0.207 + vX_[2815] * vX_[303] * 0.207 +
+ vX_[9378] * vX_[303] + vX_[9371] * vX_[275] + (0 - vX_[7787]) * 0.08 + vX_[7775] * vX_[303] * 0.35 +
+ vX_[8295] * vX_[303] * 0.33 + vX_[7758] * vX_[275] * 0.33 + (0 - vX_[1869]) * 0.08 +
+ vX_[1867] * vX_[303] * 0.35 + vX_[1841] * vX_[303] * 0.33 + vX_[1839] * vX_[275] * 0.33 +
+ vX_[7766] * vX_[275] * 0.33 + vX_[9369] * vX_[303] * 0.33 + vX_[9372] * vX_[275] * 0.35 +
+ vX_[9374] * vX_[303] * 0.33 + vX_[1617] * 0.08 + vX_[1617] * vX_[303] * 0.35 +
+ (vX_[9363] * vX_[275] + vX_[1921] * vX_[303]) * 0.33 + vX_[9350] * vX_[275] * -0.33 +
+ (0 - vX_[9097]) * 0.08 + vX_[7925] * vX_[303] * 0.35 + vX_[1837] * vX_[303] * 0.33 +
+ vX_[1834] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[7570] * vX_[1400] + vX_[7568] * vX_[1279] + vX_[7560] * vX_[1580] + vX_[7555] * vX_[1574] +
+ vX_[1908] * vX_[713] + vX_[7368] * vX_[709] + vX_[3289] * vX_[710] + vX_[1906] * vX_[370] +
+ vX_[1905] * vX_[686] + vX_[1901] * vX_[693] + vX_[1826] * vX_[353] + vX_[1670] * vX_[694] +
+ vX_[3340] * vX_[678] + vX_[723] * vX_[655] + vX_[390] * vX_[378] + vX_[9086] * vX_[388] +
+ vX_[9243] * vX_[677] + vX_[2416] * vX_[652] + vX_[1698] * vX_[654] + vX_[9355] * vX_[651] +
+ vX_[2929] * vX_[653] + vX_[3411] * vX_[596] + vX_[9083] * vX_[387] + vX_[656] * vX_[377] +
+ vX_[460] * vX_[603] + vX_[3676] * vX_[599] + vX_[650] * vX_[600] + vX_[4117] * vX_[631] +
+ vX_[496] * vX_[630] + vX_[1799] * vX_[545] + vX_[1845] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[9352] * vX_[366] +
+ (vX_[1140] * vX_[595] + vX_[9328] * vX_[333] + vX_[1931] * vX_[382] + vX_[1957] * vX_[357] +
+ vX_[1739] * vX_[371] + vX_[1824] * vX_[356] + vX_[1305] * vX_[365] + vX_[1822] * vX_[353] +
+ vX_[8427] * vX_[370] + vX_[1950] * vX_[381] + vX_[1140] * vX_[591] + vX_[831] * vX_[540] +
+ vX_[1931] * vX_[386] + vX_[1739] * vX_[537]) *
+ 0.207 +
+ vX_[7341] * x_in[23] + vX_[1812] * x_in[22] + vX_[1708] * x_in[20] + vX_[1821] * x_in[19] +
+ (vX_[7555] * vX_[1400] + vX_[9352] * vX_[354] + vX_[7341] * x_in[19]) * -0.3735 +
+ (vX_[7586] * vX_[1400] + vX_[7341] * x_in[18]) * -0.207 +
+ (vX_[7560] * vX_[1279] + vX_[1812] * x_in[20]) * 0.3735 + vX_[7792] * vX_[2050] + vX_[7768] * vX_[2047] -
+ vX_[1807] * vX_[303] + vX_[1805] * vX_[303] + (0 - vX_[7763]) * 0.3735 + vX_[7763] * vX_[275] * 0.35 +
+ (0 - vX_[7780]) * 0.207 + vX_[1803] * 0.35 + vX_[1803] * vX_[303] * 0.08 + vX_[1803] * vX_[275] * -0.3735 +
+ vX_[1795] * vX_[303] * 0.3735 + (0 - vX_[1797] * vX_[275]) * 0.08 - vX_[1793] * vX_[303] +
+ vX_[1791] * vX_[303] * 0.3735 + vX_[1791] * vX_[275] * 0.08 + vX_[1789] * 0.35 +
+ vX_[1789] * vX_[303] * 0.08 + vX_[1789] * vX_[275] * -0.3735 + vX_[1783] * vX_[275] + vX_[1760] * vX_[303] +
+ vX_[7783] * 0.08 + vX_[7783] * vX_[303] * 0.35 + vX_[7774] * vX_[303] * 0.33 + vX_[1756] * 0.08 +
+ vX_[1756] * vX_[303] * 0.35 + vX_[1730] * vX_[275] * -0.33 + vX_[1729] * 0.08 +
+ vX_[1729] * vX_[303] * 0.35 + vX_[1721] * vX_[275] * 0.33 + vX_[1720] * vX_[303] * -0.33 +
+ vX_[1717] * vX_[275] * 0.35 + (vX_[1713] * vX_[303] + vX_[606] * vX_[275]) * 0.33 +
+ (vX_[494] * vX_[275] + vX_[504] * vX_[303]) * -0.33 + vX_[503] * 0.08 + vX_[503] * vX_[303] * 0.35 +
+ vX_[495] * vX_[303] * 0.33 + vX_[493] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[7795] = vX_[7571] - vX_[7994];
+ vX_[1908] = vX_[7988] + vX_[2840];
+ vX_[1957] = vX_[7983] + vX_[5384];
+ vX_[1958] = 0 - vX_[1957];
+ vX_[9352] = vX_[7795] * vX_[273];
+ vX_[9328] = vX_[7795] * vX_[354];
+ vX_[1698] = vX_[7985] + vX_[2798];
+ vX_[9329] = vX_[2027] + vX_[1992];
+ vX_[496] = vX_[7984] + vX_[2834];
+ vX_[4117] = vX_[7975] + vX_[7995];
+ vX_[9355] = vX_[4117] * vX_[354] + vX_[496] * vX_[273];
+ vX_[9243] = vX_[4117] * vX_[367] + vX_[496] * vX_[354];
+ vX_[9354] = vX_[1039] + vX_[826];
+ vX_[9083] = 0 - (vX_[7982] + vX_[7993]) + vX_[9354];
+ vX_[1845] = vX_[1848] - vX_[7999];
+ vX_[1818] = vX_[7978] + vX_[2836];
+ vX_[1799] = vX_[1856] + vX_[1966];
+ vX_[460] = 0 - vX_[1799];
+ vX_[560] = vX_[1845] * vX_[273];
+ vX_[9208] = vX_[1845] * vX_[354];
+ vX_[505] = vX_[8179] * 0.881 + (0 - vX_[8181]) * 0.0004405 + vX_[8183] * -8.81e-05;
+ vX_[650] = vX_[8177] * -0.881;
+ vX_[3676] = vX_[8181] * 0.1104774;
+ vX_[656] = vX_[8185] * -8.81e-05;
+ vX_[390] = vX_[650] - vX_[3676] + vX_[656];
+ vX_[3411] = vX_[505] * vX_[1241] + vX_[390] * vX_[1342];
+ vX_[2929] = vX_[8169] * 3.146 + (0 - vX_[8176]) * -0.0825825;
+ vX_[723] = vX_[8168] * -3.146;
+ vX_[2416] = vX_[8176] * 0.47422804;
+ vX_[9086] = vX_[723] - vX_[2416];
+ vX_[3340] = vX_[3411] + vX_[2929] * vX_[1547] + vX_[9086] * vX_[1616];
+ vX_[3289] = vX_[8156] * 3.44 + vX_[8159] * -0.5824264;
+ vX_[7368] = 0 - vX_[3289];
+ vX_[7792] = vX_[8147] * 3.44 + (0 - vX_[8159]) * 0.1466472;
+ vX_[7784] = vX_[8147] * vX_[370] + vX_[8123] * vX_[353] + vX_[8156] * vX_[362] + vX_[8159] * vX_[541] +
+ vX_[8161] * vX_[594];
+ vX_[7768] = vX_[3340] + vX_[7368] * vX_[1026] + vX_[7792] * vX_[1130] + vX_[7784] * x_in[27];
+ vX_[7748] = 0 - vX_[505];
+ vX_[656] = 0 - vX_[650] + vX_[3676] - vX_[656];
+ vX_[3676] = vX_[8166] * 0.0004405 + vX_[8177] * -8.81e-05 + vX_[8185] * -0.000227999999999999;
+ vX_[650] = vX_[8166] * 0.1104774 + vX_[8179] * -8.81e-05 + (0 - vX_[8183]) * 0.025713;
+ vX_[492] = (0 - vX_[8177]) * 0.0004405;
+ vX_[437] = (0 - vX_[8179]) * 0.1104774;
+ vX_[480] = vX_[492] + vX_[437];
+ vX_[480] = vX_[7748] * vX_[2058] + vX_[656] * vX_[1455] + vX_[3676] * vX_[1241] + vX_[650] * vX_[1342] +
+ vX_[480] * vX_[1465] + vX_[480] * vX_[1465];
+ vX_[479] = vX_[8166] * 0.881 + (0 - vX_[8183]) * 0.1104774 + vX_[8185] * 0.0004405;
+ vX_[478] = vX_[8177] * 0.00185880198235362 + vX_[8179] * 0.880992588508842 + vX_[8183] * -8.81e-05;
+ vX_[7748] = vX_[7748] * vX_[1465] + vX_[479] * vX_[1342] + vX_[478] * x_in[29];
+ vX_[477] = 0 - vX_[479];
+ vX_[468] = vX_[8177] * 0.414812462825713 + vX_[8179] * 0.00185880198235362 + vX_[8185] * 8.81e-05;
+ vX_[656] = vX_[656] * vX_[1465] + vX_[477] * vX_[1241] - vX_[468] * x_in[29];
+ vX_[417] = 0 - vX_[2929];
+ vX_[2416] = 0 - vX_[723] + vX_[2416];
+ vX_[723] = vX_[8164] * -0.0825825 + (0 - vX_[8176]) * 0.000102 + vX_[8165] * 0.007418 + vX_[8174] * 0.002735;
+ vX_[467] = vX_[8164] * 0.47422804 + vX_[8176] * 2.1e-05 + (0 - vX_[8165]) * 0.084376 + (0 - vX_[8174]) * 0.007418;
+ vX_[466] = (0 - vX_[8168]) * -0.0825825;
+ vX_[465] = (0 - vX_[8169]) * 0.47422804;
+ vX_[462] = vX_[8165] * 0.000102;
+ vX_[461] = (0 - vX_[8174]) * 2.1e-05;
+ vX_[451] = vX_[466] + vX_[465] + vX_[462] + vX_[461];
+ vX_[451] = vX_[480] + vX_[7748] * vX_[1388] + vX_[656] * vX_[282] + vX_[417] * vX_[1460] + vX_[2416] * vX_[1116] +
+ vX_[723] * vX_[1547] + vX_[467] * vX_[1616] + vX_[451] * vX_[1109] + vX_[451] * vX_[1109];
+ vX_[447] = vX_[8164] * 3.146 + (0 - vX_[8165]) * 0.47422804 + vX_[8174] * -0.0825825;
+ vX_[450] = vX_[8168] * vX_[330] + vX_[8169] * vX_[329] + vX_[8165] * vX_[308] + vX_[8174] * vX_[302];
+ vX_[417] =
+ vX_[7748] * vX_[277] + vX_[656] * vX_[279] + vX_[417] * vX_[1109] + vX_[447] * vX_[1616] + vX_[450] * x_in[28];
+ vX_[449] = 0 - vX_[447];
+ vX_[448] = vX_[8168] * vX_[328] + vX_[8169] * vX_[330] + vX_[8165] * vX_[314] + vX_[8174] * vX_[313];
+ vX_[2416] = vX_[7748] * vX_[1380] + vX_[656] * vX_[277] + vX_[2416] * vX_[1109] + vX_[449] * vX_[1547] -
+ vX_[448] * x_in[28];
+ vX_[442] = 0 - vX_[7792];
+ vX_[415] = vX_[8123] * -0.5824264 + (0 - vX_[8163]) * 0.022734 + vX_[8159] * 3.6e-05 + vX_[8161] * -0.133138;
+ vX_[441] = vX_[8123] * 0.1466472 + vX_[8163] * 0.009466 + (0 - vX_[8159]) * -5.1e-05 + vX_[8161] * 0.022734;
+ vX_[438] = (0 - vX_[8147]) * -0.5824264;
+ vX_[427] = (0 - vX_[8156]) * 0.1466472;
+ vX_[436] = (0 - vX_[8163]) * 3.6e-05;
+ vX_[432] = (0 - vX_[8161]) * -5.1e-05;
+ vX_[431] = vX_[438] + vX_[427] + vX_[436] - vX_[432];
+ vX_[430] = vX_[8147] * vX_[386] + vX_[8123] * vX_[540] + vX_[8156] * vX_[594] + vX_[8159] * vX_[593] +
+ vX_[8161] * vX_[350];
+ vX_[431] = vX_[451] + vX_[417] * vX_[1376] + vX_[2416] * vX_[321] + vX_[3289] * vX_[1767] + vX_[442] * vX_[1126] +
+ vX_[415] * vX_[1026] + vX_[441] * vX_[1130] + vX_[431] * vX_[1274] + vX_[431] * vX_[1274] +
+ vX_[430] * x_in[27];
+ vX_[426] = vX_[7578] - vX_[7999];
+ vX_[425] = vX_[426] * vX_[354] + vX_[1818] * vX_[273];
+ vX_[420] = vX_[426] * vX_[367] + vX_[1818] * vX_[354];
+ vX_[391] = vX_[420] + vX_[560];
+ vX_[4106] = vX_[425] * vX_[367] + vX_[391] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[1743] = 0 - vX_[4106];
+ vX_[4127] = vX_[7999] + vX_[425] * vX_[354] + vX_[560] * vX_[273];
+ vX_[9036] = 0 - vX_[4127];
+ vX_[1624] = vX_[7999] + vX_[420] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[1662] = vX_[7981] + vX_[7992] - vX_[9329];
+ vX_[1655] = vX_[9354] * vX_[354] + vX_[9329] * vX_[273];
+ vX_[470] = 0 - (vX_[1662] * vX_[367] + vX_[9083] * vX_[354]) + vX_[1655];
+ vX_[444] = vX_[470] + vX_[4127] * vX_[355];
+ vX_[434] = 0 - vX_[444];
+ vX_[9182] = vX_[9354] * vX_[367] + vX_[9329] * vX_[354];
+ vX_[4133] = vX_[1662] * vX_[354] + vX_[9083] * vX_[273] + vX_[9182];
+ vX_[1618] = 0 - vX_[1624];
+ vX_[489] = vX_[4133] + vX_[4106] * vX_[355] + vX_[1618] * vX_[274];
+ vX_[474] = vX_[7980] + vX_[2838];
+ vX_[9332] = vX_[1698] * vX_[354] + vX_[474] * vX_[367];
+ vX_[616] = vX_[9332] * vX_[354] + vX_[9243] * vX_[273];
+ vX_[8859] = vX_[7969] + vX_[7841];
+ vX_[1799] = 0 - vX_[1799];
+ vX_[4124] = vX_[8859] * vX_[367] + vX_[1799] * vX_[354];
+ vX_[633] = 0 - vX_[4124];
+ vX_[9344] = vX_[616] + vX_[633] * vX_[274] + vX_[9036] * vX_[369];
+ vX_[620] = 0 - vX_[9344];
+ vX_[9189] = vX_[1698] * vX_[273] + vX_[474] * vX_[354];
+ vX_[8849] = vX_[9189] * vX_[367] + vX_[9355] * vX_[354];
+ vX_[2024] = vX_[8859] * vX_[354] + vX_[460] * vX_[273];
+ vX_[9322] = 0 - vX_[2024];
+ vX_[8858] = vX_[8849] + vX_[9322] * vX_[355] + vX_[1624] * vX_[369];
+ vX_[9219] = vX_[9189] * vX_[354] + vX_[9355] * vX_[273];
+ vX_[9200] = vX_[9219] + vX_[4124] * vX_[355];
+ vX_[9283] = vX_[9332] * vX_[367] + vX_[9243] * vX_[354];
+ vX_[9215] = vX_[9283] + vX_[2024] * vX_[274] + vX_[1743] * vX_[369];
+ vX_[9246] = 0 - vX_[9200] + vX_[9215];
+ vX_[8625] = 0 - vX_[4106];
+ vX_[9214] = 0 - vX_[4127];
+ vX_[9036] = vX_[1743] * vX_[597] + vX_[9036] * vX_[543] + vX_[1624] * vX_[333] + vX_[434] * vX_[370] +
+ vX_[489] * vX_[381] + vX_[620] * vX_[362] + vX_[8858] * vX_[356] + vX_[9246] * vX_[353] +
+ vX_[8625] * vX_[594] + vX_[4106] * vX_[591] + vX_[9214] * vX_[542] + vX_[1624] * vX_[546];
+ vX_[1743] = vX_[8123] * -3.44;
+ vX_[7865] = vX_[8163] * 0.1466472;
+ vX_[8425] = vX_[8161] * -0.5824264;
+ vX_[9250] = 0 - vX_[1743] + vX_[7865] - vX_[8425];
+ vX_[8433] = vX_[8147] * vX_[381] + vX_[8123] * vX_[356] + vX_[8156] * vX_[353] + vX_[8159] * vX_[591] +
+ vX_[8161] * vX_[540];
+ vX_[442] = vX_[417] * vX_[1375] + vX_[2416] * vX_[303] + vX_[9250] * vX_[1026] + vX_[442] * vX_[1274] -
+ vX_[8433] * x_in[27];
+ vX_[9241] = vX_[7578] + vX_[1848] + vX_[7999] - vX_[4127] - vX_[1624];
+ vX_[7998] = 0 - vX_[9241];
+ vX_[1655] = vX_[1655] + vX_[7998] * vX_[355];
+ vX_[9182] = vX_[9182] + vX_[9241] * vX_[274];
+ vX_[9252] = 0 - vX_[489];
+ vX_[9220] = 0 - vX_[8858];
+ vX_[9190] = vX_[1929] + vX_[1926] + vX_[474] + vX_[496] - vX_[9219] - vX_[9283];
+ vX_[9215] = vX_[9190] - vX_[9215];
+ vX_[9180] = 0 - vX_[4124];
+ vX_[9247] = 0 - vX_[4106];
+ vX_[2088] = 0 - vX_[1624];
+ vX_[9318] = vX_[2825] - vX_[7994];
+ vX_[9317] = vX_[7986] + vX_[5374];
+ vX_[9314] = vX_[9318] * vX_[354] + vX_[1908] * vX_[273];
+ vX_[9312] = vX_[9318] * vX_[367] + vX_[1908] * vX_[354];
+ vX_[8181] = vX_[8177] * 0.1104774 + vX_[8179] * 0.0004405 + vX_[8181] * 0.025941;
+ vX_[9311] = (0 - vX_[8166]) * -8.81e-05;
+ vX_[437] = vX_[9311] + vX_[437];
+ vX_[8185] = vX_[8166] * 0.0004405 + vX_[8177] * 8.81e-05 + vX_[8185] * 0.000468;
+ vX_[437] = vX_[505] * vX_[1309] + vX_[477] * vX_[1455] + vX_[3676] * vX_[1465] + vX_[8181] * vX_[1342] +
+ vX_[437] * vX_[1241] + vX_[437] * vX_[1241] + vX_[8185] * x_in[29];
+ vX_[9311] = vX_[9311] + vX_[492];
+ vX_[8183] = vX_[8166] * -0.1104774 + vX_[8179] * -8.81e-05 + vX_[8183] * 0.026409;
+ vX_[9311] = vX_[390] * vX_[1309] + vX_[479] * vX_[2058] + vX_[650] * vX_[1465] + vX_[8181] * vX_[1241] +
+ vX_[9311] * vX_[1342] + vX_[9311] * vX_[1342] - vX_[8183] * x_in[29];
+ vX_[8181] = vX_[8168] * 0.47422804 + vX_[8169] * -0.0825825 + vX_[8176] * 0.081641 + (0 - vX_[8165]) * 2.1e-05 +
+ vX_[8174] * 0.000102;
+ vX_[479] = (0 - vX_[8176]) * 0.007418;
+ vX_[461] = vX_[465] + vX_[479] - vX_[461];
+ vX_[465] = vX_[8164] * vX_[297] + vX_[8168] * vX_[313] + vX_[8169] * vX_[302] + vX_[8165] * vX_[345] +
+ vX_[8174] * vX_[341];
+ vX_[461] = vX_[3411] * -0.35 + vX_[437] * vX_[277] + vX_[9311] * vX_[279] + vX_[2929] * vX_[1551] +
+ vX_[449] * vX_[1116] + vX_[723] * vX_[1109] + vX_[8181] * vX_[1616] + vX_[461] * vX_[1547] +
+ vX_[461] * vX_[1547] + vX_[465] * x_in[28];
+ vX_[479] = vX_[466] - vX_[479] - vX_[462];
+ vX_[462] = vX_[8164] * vX_[310] + vX_[8168] * vX_[314] + vX_[8169] * vX_[308] + vX_[8165] * vX_[339] +
+ vX_[8174] * vX_[345];
+ vX_[479] = vX_[437] * vX_[280] + vX_[9311] * vX_[277] + vX_[9086] * vX_[1551] + vX_[447] * vX_[1460] +
+ vX_[467] * vX_[1109] + vX_[8181] * vX_[1547] + vX_[479] * vX_[1616] + vX_[479] * vX_[1616] -
+ vX_[462] * x_in[28];
+ vX_[8425] = vX_[1743] - vX_[7865] + vX_[8425];
+ vX_[7865] = vX_[8147] * 0.1466472 + vX_[8156] * -0.5824264 + vX_[8163] * -5.1e-05 + (0 - vX_[8159]) * -0.123672 +
+ (0 - vX_[8161]) * 3.6e-05;
+ vX_[1743] = vX_[8159] * 0.022734;
+ vX_[436] = vX_[438] - vX_[436] - vX_[1743];
+ vX_[438] = vX_[8147] * vX_[324] + vX_[8123] * vX_[591] + vX_[8156] * vX_[541] + vX_[8159] * vX_[539] +
+ vX_[8161] * vX_[593];
+ vX_[436] = vX_[461] * vX_[276] + vX_[479] * vX_[303] + vX_[8425] * vX_[1767] + vX_[7792] * vX_[1777] +
+ vX_[7865] * vX_[1026] + vX_[441] * vX_[1274] + vX_[436] * vX_[1130] + vX_[436] * vX_[1130] -
+ vX_[438] * x_in[27];
+ vX_[8212] = vX_[8212] * vX_[2050];
+ vX_[8213] = vX_[8213] * vX_[2050];
+ vX_[441] = vX_[8212] * vX_[277] + vX_[8213] * vX_[279];
+ vX_[8214] = vX_[8214] * vX_[2050];
+ vX_[7792] = 0 - vX_[8214];
+ vX_[8184] = vX_[8184] * vX_[2045];
+ vX_[8181] = vX_[8184] * vX_[277];
+ vX_[447] = vX_[8184] * vX_[279];
+ vX_[467] = 0 - vX_[447];
+ vX_[8200] = vX_[8200] * vX_[2057];
+ vX_[9086] = vX_[8200] * vX_[279];
+ vX_[8186] = vX_[8186] * vX_[2045];
+ vX_[466] = vX_[8186] * vX_[277];
+ vX_[449] = vX_[8186] * vX_[279];
+ vX_[723] = 0 - vX_[8200];
+ vX_[2929] = vX_[723] * vX_[277];
+ vX_[8201] = vX_[8201] * vX_[2057];
+ vX_[3411] = 0 - vX_[8201];
+ vX_[650] = vX_[3411] * vX_[279];
+ vX_[390] = vX_[8201] * vX_[277];
+ vX_[8188] = vX_[8188] * vX_[2047];
+ vX_[8179] = vX_[8212] + vX_[8188];
+ vX_[8189] = vX_[8189] * vX_[2047];
+ vX_[8166] = 0 - vX_[8213] - vX_[8189];
+ vX_[492] = vX_[8179] * vX_[279] + vX_[8166] * vX_[277];
+ vX_[477] = vX_[8188] * vX_[277] + vX_[8189] * vX_[279];
+ vX_[8206] = vX_[8206] * vX_[2057] + vX_[8194] * vX_[2045];
+ vX_[8194] = 0 - vX_[8206];
+ vX_[3676] = 0 - vX_[8206];
+ vX_[505] = vX_[3676] * vX_[277];
+ vX_[8177] = vX_[8206] * vX_[279];
+ vX_[9310] = vX_[8207] * vX_[1520] + vX_[8341] * vX_[1470] + vX_[8344] * vX_[1504];
+ vX_[9308] = 0 - vX_[9310];
+ vX_[9307] = vX_[8207] * vX_[1606] + vX_[8341] * vX_[1505] + vX_[8344] * vX_[1464];
+ vX_[9305] = vX_[9308] * x_in[18] + vX_[9307] * x_in[19];
+ vX_[9303] = 0 - vX_[9305];
+ vX_[9302] = 0 - vX_[9305];
+ vX_[9299] = vX_[9302] * vX_[277];
+ vX_[9298] = vX_[9305] * vX_[1473];
+ vX_[8207] = vX_[8207] * vX_[1502] + vX_[8341] * vX_[1521] + vX_[8344] * vX_[1607];
+ jac[1041] = vX_[448] * vX_[1000] + vX_[450] * vX_[1460] + vX_[462] * vX_[1149] + vX_[465] * vX_[1547] + vX_[451] +
+ vX_[8207] * vX_[1526] + vX_[9310] * vX_[1477] + vX_[9307] * vX_[1511];
+ jac[1077] = vX_[468] * vX_[2052] + vX_[478] * vX_[2058] + vX_[8183] * vX_[1609] + vX_[8185] * vX_[1241] + vX_[480] +
+ vX_[8207] * vX_[1535] + vX_[9310] * vX_[1488] + vX_[9307] * vX_[1508];
+ vX_[8183] = vX_[8207] * x_in[29];
+ vX_[8185] = vX_[8183] * vX_[277];
+ vX_[468] = vX_[8183] * vX_[1473];
+ vX_[478] = vX_[8207] * x_in[28];
+ vX_[480] = vX_[478] * vX_[1473];
+ vX_[462] = vX_[9310] * x_in[27];
+ vX_[465] = vX_[478] * vX_[277];
+ vX_[448] = vX_[462] * vX_[277];
+ vX_[450] = vX_[462] * vX_[1473];
+ vX_[451] = vX_[8218] * vX_[1563];
+ vX_[8344] = 0 - vX_[451];
+ vX_[8341] = 0 - vX_[451];
+ vX_[8695] = vX_[8341] * vX_[277];
+ vX_[8682] = vX_[451] * vX_[1473];
+ vX_[1957] = 0 - vX_[1957];
+ vX_[9295] = vX_[9312] + vX_[9352];
+ vX_[9293] = 0 - vX_[1655];
+ vX_[9292] = 0 - vX_[9182];
+ vX_[9190] = 0 - vX_[9190] + vX_[9200];
+ vX_[9200] = 0 - vX_[2024];
+ vX_[8178] = vX_[8178] * vX_[2045];
+ vX_[9291] = vX_[8178] * vX_[279];
+ vX_[8180] = vX_[8180] * vX_[2045];
+ vX_[9290] = vX_[8180] * vX_[277];
+ vX_[8182] = vX_[8182] * vX_[2045];
+ vX_[8199] = vX_[8199] * vX_[2057];
+ vX_[8215] = vX_[8215] * vX_[2050];
+ vX_[9289] = vX_[8215] * vX_[277];
+ vX_[9288] = vX_[8215] * vX_[279];
+ vX_[8701] = 0 - vX_[9288];
+ vX_[8204] = vX_[8204] * vX_[1435];
+ vX_[9287] = vX_[8204] * vX_[279];
+ vX_[8216] = vX_[8216] * vX_[2050];
+ vX_[9286] = vX_[8216] * vX_[277];
+ vX_[9284] = vX_[8216] * vX_[279];
+ vX_[9281] = 0 - vX_[8178] - vX_[8204];
+ vX_[8205] = vX_[8205] * vX_[1435];
+ vX_[9280] = 0 - vX_[8180] - vX_[8205];
+ vX_[9278] = vX_[9281] * vX_[277] + vX_[9280] * vX_[279];
+ vX_[8794] = vX_[8205] * vX_[277];
+ vX_[8202] = vX_[8202] * vX_[2057] + vX_[8193] * vX_[2050];
+ vX_[8193] = vX_[8202] * vX_[277];
+ vX_[9228] = 0 - vX_[9307];
+ vX_[9230] = vX_[8207] * x_in[18] + vX_[9228] * x_in[20];
+ vX_[9259] = vX_[9230] * vX_[1473];
+ vX_[9260] = vX_[8207] * x_in[27];
+ vX_[9257] = vX_[9310] * x_in[29];
+ vX_[8687] = 0 - vX_[9257];
+ vX_[9277] = vX_[8687] * vX_[277];
+ vX_[9276] = vX_[9257] * vX_[1473];
+ vX_[9274] = vX_[9310] * x_in[28];
+ vX_[9269] = 0 - vX_[9274];
+ vX_[8679] = vX_[9260] * vX_[277];
+ vX_[8696] = 0 - vX_[9274];
+ vX_[1571] = vX_[8696] * vX_[277];
+ vX_[9253] = vX_[9260] * vX_[1473];
+ vX_[8681] = vX_[9274] * vX_[1473];
+ vX_[8002] = vX_[8218] * vX_[1556];
+ vX_[1780] = vX_[9230] * vX_[277] + vX_[8002] * vX_[277];
+ vX_[1811] = vX_[8202] * vX_[279] + vX_[8002] * vX_[1473];
+ jac[357] =
+ 0 -
+ (vX_[7987] * vX_[1400] + vX_[7974] * vX_[1580] + vX_[7795] * vX_[711] + vX_[1908] * vX_[713] +
+ vX_[1958] * vX_[370] + vX_[9352] * vX_[693] + vX_[9328] * vX_[353] + vX_[1698] * vX_[677] +
+ vX_[9329] * vX_[378] + vX_[496] * vX_[655] + vX_[9355] * vX_[654] + vX_[9243] * vX_[651] +
+ vX_[9083] * vX_[387] + vX_[1845] * vX_[601] + vX_[1818] * vX_[603] + vX_[460] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[7768] * x_in[22] + vX_[431] * x_in[19] +
+ (vX_[7979] * vX_[1400] + vX_[9036] * vX_[367] + vX_[7768] * x_in[20]) * 0.3735 -
+ (vX_[7989] * vX_[1279] + vX_[442] * x_in[23]) + (vX_[7974] * vX_[1279] + vX_[442] * x_in[19]) * 0.3735 +
+ (vX_[8005] * vX_[1279] + vX_[633] * vX_[543] + vX_[2024] * vX_[597] + vX_[9241] * vX_[380] +
+ vX_[1618] * vX_[382] + vX_[1655] * vX_[353] + vX_[9182] * vX_[362] + vX_[9252] * vX_[365] +
+ vX_[9220] * vX_[381] + vX_[9215] * vX_[370] + vX_[9180] * vX_[541] + vX_[2024] * vX_[594] +
+ vX_[9247] * vX_[324] + vX_[2088] * vX_[548] + vX_[442] * x_in[18]) *
+ 0.207 -
+ (vX_[7979] * vX_[1574] + vX_[9318] * vX_[710] + vX_[9317] * vX_[686] + vX_[9314] * vX_[353] +
+ vX_[9312] * vX_[694] + vX_[4117] * vX_[652] + vX_[9354] * vX_[388] + vX_[474] * vX_[678] +
+ vX_[9189] * vX_[653] + vX_[9332] * vX_[596] + vX_[1662] * vX_[377] + vX_[426] * vX_[600] +
+ vX_[8859] * vX_[630] + vX_[425] * vX_[598] + vX_[420] * vX_[549] + vX_[9036] * vX_[368] +
+ vX_[436] * x_in[20]) +
+ vX_[8167] * vX_[2045] + vX_[8203] * vX_[1435] + vX_[441] * vX_[275] + vX_[7792] * vX_[275] * 0.35 +
+ vX_[8214] * 0.3735 + vX_[8181] * 0.35 + vX_[8181] * vX_[303] * 0.08 + vX_[8181] * vX_[275] * -0.3735 +
+ vX_[467] * vX_[303] * 0.3735 + vX_[447] * vX_[275] * -0.08 + vX_[9086] * vX_[303] * -0.207 +
+ vX_[466] * vX_[303] * 0.3735 + vX_[466] * vX_[275] * 0.08 + vX_[449] * 0.35 + vX_[449] * vX_[303] * 0.08 +
+ vX_[449] * vX_[275] * -0.3735 + (vX_[2929] * vX_[275] + vX_[650] * vX_[275]) * 0.207 +
+ vX_[390] * vX_[303] * 0.207 + vX_[492] * vX_[303] + vX_[477] * vX_[275] + (0 - vX_[8206]) * 0.08 +
+ vX_[8194] * vX_[303] * 0.35 + vX_[505] * vX_[303] * 0.33 + vX_[8177] * vX_[275] * 0.33 +
+ (0 - vX_[9305]) * 0.08 + vX_[9303] * vX_[303] * 0.35 + vX_[9299] * vX_[303] * 0.33 +
+ vX_[9298] * vX_[275] * 0.33 + vX_[8185] * vX_[275] * 0.33 + vX_[468] * vX_[303] * 0.33 +
+ vX_[478] * vX_[275] * 0.35 + vX_[480] * vX_[303] * 0.33 + vX_[462] * 0.08 + vX_[462] * vX_[303] * 0.35 +
+ (vX_[465] * vX_[275] + vX_[448] * vX_[303]) * 0.33 + vX_[450] * vX_[275] * -0.33 + (0 - vX_[451]) * 0.08 +
+ vX_[8344] * vX_[303] * 0.35 + vX_[8695] * vX_[303] * 0.33 + vX_[8682] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[7989] * vX_[1400] + vX_[7987] * vX_[1279] + vX_[7979] * vX_[1580] + vX_[7974] * vX_[1574] +
+ vX_[9318] * vX_[713] + vX_[7795] * vX_[709] + vX_[1908] * vX_[710] + vX_[9317] * vX_[370] +
+ vX_[1957] * vX_[686] + vX_[9314] * vX_[693] + vX_[9295] * vX_[353] + vX_[9328] * vX_[694] +
+ vX_[1698] * vX_[678] + vX_[4117] * vX_[655] + vX_[9354] * vX_[378] + vX_[9329] * vX_[388] +
+ vX_[474] * vX_[677] + vX_[496] * vX_[652] + vX_[9189] * vX_[654] + vX_[9332] * vX_[651] +
+ vX_[9355] * vX_[653] + vX_[9243] * vX_[596] + vX_[1662] * vX_[387] + vX_[9083] * vX_[377] +
+ vX_[426] * vX_[603] + vX_[1845] * vX_[599] + vX_[1818] * vX_[600] + vX_[8859] * vX_[631] +
+ vX_[1799] * vX_[630] + vX_[425] * vX_[545] + vX_[391] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[9036] * vX_[366] +
+ (vX_[4124] * vX_[595] + vX_[9322] * vX_[333] + vX_[4106] * vX_[382] + vX_[7998] * vX_[357] +
+ vX_[4127] * vX_[371] + vX_[9293] * vX_[356] + vX_[444] * vX_[365] + vX_[9292] * vX_[353] +
+ vX_[9344] * vX_[370] + vX_[9190] * vX_[381] + vX_[4124] * vX_[591] + vX_[9200] * vX_[540] +
+ vX_[4106] * vX_[386] + vX_[4127] * vX_[537]) *
+ 0.207 +
+ vX_[7768] * x_in[23] + vX_[442] * x_in[22] + vX_[431] * x_in[20] + vX_[436] * x_in[19] +
+ (vX_[7974] * vX_[1400] + vX_[9036] * vX_[354] + vX_[7768] * x_in[19]) * -0.3735 +
+ (vX_[8005] * vX_[1400] + vX_[7768] * x_in[18]) * -0.207 +
+ (vX_[7979] * vX_[1279] + vX_[442] * x_in[20]) * 0.3735 + vX_[8211] * vX_[2050] + vX_[8187] * vX_[2047] -
+ vX_[9291] * vX_[303] + vX_[9290] * vX_[303] + (0 - vX_[8182]) * 0.3735 + vX_[8182] * vX_[275] * 0.35 +
+ (0 - vX_[8199]) * 0.207 + vX_[9289] * 0.35 + vX_[9289] * vX_[303] * 0.08 + vX_[9289] * vX_[275] * -0.3735 +
+ vX_[8701] * vX_[303] * 0.3735 + (0 - vX_[9288] * vX_[275]) * 0.08 - vX_[9287] * vX_[303] +
+ vX_[9286] * vX_[303] * 0.3735 + vX_[9286] * vX_[275] * 0.08 + vX_[9284] * 0.35 +
+ vX_[9284] * vX_[303] * 0.08 + vX_[9284] * vX_[275] * -0.3735 + vX_[9278] * vX_[275] + vX_[8794] * vX_[303] +
+ vX_[8202] * 0.08 + vX_[8202] * vX_[303] * 0.35 + vX_[8193] * vX_[303] * 0.33 + vX_[9230] * 0.08 +
+ vX_[9230] * vX_[303] * 0.35 + vX_[9259] * vX_[275] * -0.33 + vX_[9260] * 0.08 +
+ vX_[9260] * vX_[303] * 0.35 + vX_[9277] * vX_[275] * 0.33 + vX_[9276] * vX_[303] * -0.33 +
+ vX_[9269] * vX_[275] * 0.35 + (vX_[8679] * vX_[303] + vX_[1571] * vX_[275]) * 0.33 +
+ (vX_[9253] * vX_[275] + vX_[8681] * vX_[303]) * -0.33 + vX_[8002] * 0.08 + vX_[8002] * vX_[303] * 0.35 +
+ vX_[1780] * vX_[303] * 0.33 + vX_[1811] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[8214] = vX_[7990] - vX_[8423];
+ vX_[9318] = vX_[8417] + vX_[1541];
+ vX_[7998] = vX_[8412] + vX_[2880];
+ vX_[9241] = 0 - vX_[7998];
+ vX_[9036] = vX_[8214] * vX_[273];
+ vX_[9322] = vX_[8214] * vX_[354];
+ vX_[9189] = vX_[8414] + vX_[1650];
+ vX_[633] = vX_[9187] + vX_[9193];
+ vX_[1799] = vX_[8413] + vX_[1546];
+ vX_[8859] = vX_[8404] + vX_[8424];
+ vX_[9332] = vX_[8859] * vX_[354] + vX_[1799] * vX_[273];
+ vX_[474] = vX_[8859] * vX_[367] + vX_[1799] * vX_[354];
+ vX_[1618] = vX_[9177] + vX_[9192];
+ vX_[1662] = 0 - (vX_[8411] + vX_[8422]) + vX_[1618];
+ vX_[391] = vX_[9185] - vX_[8428];
+ vX_[420] = vX_[8407] + vX_[1459];
+ vX_[425] = vX_[9198] + vX_[9195];
+ vX_[426] = 0 - vX_[425];
+ vX_[9208] = vX_[391] * vX_[273];
+ vX_[560] = vX_[391] * vX_[354];
+ vX_[460] = vX_[8608] * 0.881 + (0 - vX_[8610]) * 0.0004405 + vX_[8612] * -8.81e-05;
+ vX_[1818] = vX_[8606] * -0.881;
+ vX_[1845] = vX_[8610] * 0.1104774;
+ vX_[9083] = vX_[8614] * -8.81e-05;
+ vX_[9354] = vX_[1818] - vX_[1845] + vX_[9083];
+ vX_[9243] = vX_[460] * vX_[1241] + vX_[9354] * vX_[1342];
+ vX_[9355] = vX_[8598] * 3.146 + (0 - vX_[8605]) * -0.0825825;
+ vX_[4117] = vX_[8597] * -3.146;
+ vX_[496] = vX_[8605] * 0.47422804;
+ vX_[9329] = vX_[4117] - vX_[496];
+ vX_[1698] = vX_[9243] + vX_[9355] * vX_[1547] + vX_[9329] * vX_[1616];
+ vX_[1908] = vX_[8585] * 3.44 + vX_[8588] * -0.5824264;
+ vX_[7795] = 0 - vX_[1908];
+ vX_[8211] = vX_[8576] * 3.44 + (0 - vX_[8588]) * 0.1466472;
+ vX_[8203] = vX_[8576] * vX_[370] + vX_[8552] * vX_[353] + vX_[8585] * vX_[362] + vX_[8588] * vX_[541] +
+ vX_[8590] * vX_[594];
+ vX_[8187] = vX_[1698] + vX_[7795] * vX_[1026] + vX_[8211] * vX_[1130] + vX_[8203] * x_in[27];
+ vX_[8167] = 0 - vX_[460];
+ vX_[9083] = 0 - vX_[1818] + vX_[1845] - vX_[9083];
+ vX_[1845] = vX_[8595] * 0.0004405 + vX_[8606] * -8.81e-05 + vX_[8614] * -0.000227999999999999;
+ vX_[1818] = vX_[8595] * 0.1104774 + vX_[8608] * -8.81e-05 + (0 - vX_[8612]) * 0.025713;
+ vX_[1766] = (0 - vX_[8606]) * 0.0004405;
+ vX_[1554] = (0 - vX_[8608]) * 0.1104774;
+ vX_[9258] = vX_[1766] + vX_[1554];
+ vX_[9258] = vX_[8167] * vX_[2058] + vX_[9083] * vX_[1455] + vX_[1845] * vX_[1241] + vX_[1818] * vX_[1342] +
+ vX_[9258] * vX_[1465] + vX_[9258] * vX_[1465];
+ vX_[2886] = vX_[8595] * 0.881 + (0 - vX_[8612]) * 0.1104774 + vX_[8614] * 0.0004405;
+ vX_[9227] = vX_[8606] * 0.00185880198235362 + vX_[8608] * 0.880992588508842 + vX_[8612] * -8.81e-05;
+ vX_[8167] = vX_[8167] * vX_[1465] + vX_[2886] * vX_[1342] + vX_[9227] * x_in[29];
+ vX_[9199] = 0 - vX_[2886];
+ vX_[8683] = vX_[8606] * 0.414812462825713 + vX_[8608] * 0.00185880198235362 + vX_[8614] * 8.81e-05;
+ vX_[9083] = vX_[9083] * vX_[1465] + vX_[9199] * vX_[1241] - vX_[8683] * x_in[29];
+ vX_[1995] = 0 - vX_[9355];
+ vX_[496] = 0 - vX_[4117] + vX_[496];
+ vX_[4117] = vX_[8593] * -0.0825825 + (0 - vX_[8605]) * 0.000102 + vX_[8594] * 0.007418 + vX_[8603] * 0.002735;
+ vX_[9226] = vX_[8593] * 0.47422804 + vX_[8605] * 2.1e-05 + (0 - vX_[8594]) * 0.084376 + (0 - vX_[8603]) * 0.007418;
+ vX_[8649] = (0 - vX_[8597]) * -0.0825825;
+ vX_[8664] = (0 - vX_[8598]) * 0.47422804;
+ vX_[8662] = vX_[8594] * 0.000102;
+ vX_[8659] = (0 - vX_[8603]) * 2.1e-05;
+ vX_[8653] = vX_[8649] + vX_[8664] + vX_[8662] + vX_[8659];
+ vX_[8653] = vX_[9258] + vX_[8167] * vX_[1388] + vX_[9083] * vX_[282] + vX_[1995] * vX_[1460] +
+ vX_[496] * vX_[1116] + vX_[4117] * vX_[1547] + vX_[9226] * vX_[1616] + vX_[8653] * vX_[1109] +
+ vX_[8653] * vX_[1109];
+ vX_[1231] = vX_[8593] * 3.146 + (0 - vX_[8594]) * 0.47422804 + vX_[8603] * -0.0825825;
+ vX_[1828] = vX_[8597] * vX_[330] + vX_[8598] * vX_[329] + vX_[8594] * vX_[308] + vX_[8603] * vX_[302];
+ vX_[1995] = vX_[8167] * vX_[277] + vX_[9083] * vX_[279] + vX_[1995] * vX_[1109] + vX_[1231] * vX_[1616] +
+ vX_[1828] * x_in[28];
+ vX_[8196] = 0 - vX_[1231];
+ vX_[1236] = vX_[8597] * vX_[328] + vX_[8598] * vX_[330] + vX_[8594] * vX_[314] + vX_[8603] * vX_[313];
+ vX_[496] = vX_[8167] * vX_[1380] + vX_[9083] * vX_[277] + vX_[496] * vX_[1109] + vX_[8196] * vX_[1547] -
+ vX_[1236] * x_in[28];
+ vX_[7438] = 0 - vX_[8211];
+ vX_[7996] = vX_[8552] * -0.5824264 + (0 - vX_[8592]) * 0.022734 + vX_[8588] * 3.6e-05 + vX_[8590] * -0.133138;
+ vX_[1467] = vX_[8552] * 0.1466472 + vX_[8592] * 0.009466 + (0 - vX_[8588]) * -5.1e-05 + vX_[8590] * 0.022734;
+ vX_[8004] = (0 - vX_[8576]) * -0.5824264;
+ vX_[1779] = (0 - vX_[8585]) * 0.1466472;
+ vX_[7579] = (0 - vX_[8592]) * 3.6e-05;
+ vX_[1244] = (0 - vX_[8590]) * -5.1e-05;
+ vX_[999] = vX_[8004] + vX_[1779] + vX_[7579] - vX_[1244];
+ vX_[911] = vX_[8576] * vX_[386] + vX_[8552] * vX_[540] + vX_[8585] * vX_[594] + vX_[8588] * vX_[593] +
+ vX_[8590] * vX_[350];
+ vX_[999] = vX_[8653] + vX_[1995] * vX_[1376] + vX_[496] * vX_[321] + vX_[1908] * vX_[1767] + vX_[7438] * vX_[1126] +
+ vX_[7996] * vX_[1026] + vX_[1467] * vX_[1130] + vX_[999] * vX_[1274] + vX_[999] * vX_[1274] +
+ vX_[911] * x_in[27];
+ vX_[28] = vX_[7997] - vX_[8428];
+ vX_[1774] = vX_[28] * vX_[354] + vX_[420] * vX_[273];
+ vX_[2903] = vX_[28] * vX_[367] + vX_[420] * vX_[354];
+ vX_[9176] = vX_[2903] + vX_[9208];
+ vX_[9175] = vX_[1774] * vX_[367] + vX_[9176] * vX_[354] + vX_[560] * vX_[273];
+ vX_[9172] = 0 - vX_[9175];
+ vX_[9170] = vX_[8428] + vX_[1774] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[9169] = 0 - vX_[9170];
+ vX_[9168] = vX_[8428] + vX_[2903] * vX_[367] + vX_[560] * vX_[354];
+ vX_[9166] = vX_[8410] + vX_[8421] - vX_[633];
+ vX_[9165] = vX_[1618] * vX_[354] + vX_[633] * vX_[273];
+ vX_[9163] = 0 - (vX_[9166] * vX_[367] + vX_[1662] * vX_[354]) + vX_[9165];
+ vX_[9161] = vX_[9163] + vX_[9170] * vX_[355];
+ vX_[9160] = 0 - vX_[9161];
+ vX_[9157] = vX_[1618] * vX_[367] + vX_[633] * vX_[354];
+ vX_[9156] = vX_[9166] * vX_[354] + vX_[1662] * vX_[273] + vX_[9157];
+ vX_[8266] = 0 - vX_[9168];
+ vX_[8253] = vX_[9156] + vX_[9175] * vX_[355] + vX_[8266] * vX_[274];
+ vX_[9153] = vX_[8409] + vX_[1615];
+ vX_[9151] = vX_[9189] * vX_[354] + vX_[9153] * vX_[367];
+ vX_[9150] = vX_[9151] * vX_[354] + vX_[474] * vX_[273];
+ vX_[9149] = vX_[8387] + vX_[8260];
+ vX_[425] = 0 - vX_[425];
+ vX_[9148] = vX_[9149] * vX_[367] + vX_[425] * vX_[354];
+ vX_[9147] = 0 - vX_[9148];
+ vX_[9146] = vX_[9150] + vX_[9147] * vX_[274] + vX_[9169] * vX_[369];
+ vX_[8272] = 0 - vX_[9146];
+ vX_[9145] = vX_[9189] * vX_[273] + vX_[9153] * vX_[354];
+ vX_[9144] = vX_[9145] * vX_[367] + vX_[9332] * vX_[354];
+ vX_[9142] = vX_[9149] * vX_[354] + vX_[426] * vX_[273];
+ vX_[9139] = 0 - vX_[9142];
+ vX_[9138] = vX_[9144] + vX_[9139] * vX_[355] + vX_[9168] * vX_[369];
+ vX_[9136] = vX_[9145] * vX_[354] + vX_[9332] * vX_[273];
+ vX_[8365] = vX_[9136] + vX_[9148] * vX_[355];
+ vX_[1864] = vX_[9151] * vX_[367] + vX_[474] * vX_[354];
+ vX_[1859] = vX_[1864] + vX_[9142] * vX_[274] + vX_[9172] * vX_[369];
+ vX_[1156] = 0 - vX_[8365] + vX_[1859];
+ vX_[1152] = 0 - vX_[9175];
+ vX_[1191] = 0 - vX_[9170];
+ vX_[9169] = vX_[9172] * vX_[597] + vX_[9169] * vX_[543] + vX_[9168] * vX_[333] + vX_[9160] * vX_[370] +
+ vX_[8253] * vX_[381] + vX_[8272] * vX_[362] + vX_[9138] * vX_[356] + vX_[1156] * vX_[353] +
+ vX_[1152] * vX_[594] + vX_[9175] * vX_[591] + vX_[1191] * vX_[542] + vX_[9168] * vX_[546];
+ vX_[9172] = vX_[8552] * -3.44;
+ vX_[8258] = vX_[8592] * 0.1466472;
+ vX_[9135] = vX_[8590] * -0.5824264;
+ vX_[9134] = 0 - vX_[9172] + vX_[8258] - vX_[9135];
+ vX_[837] = vX_[8576] * vX_[381] + vX_[8552] * vX_[356] + vX_[8585] * vX_[353] + vX_[8588] * vX_[591] +
+ vX_[8590] * vX_[540];
+ vX_[7438] = vX_[1995] * vX_[1375] + vX_[496] * vX_[303] + vX_[9134] * vX_[1026] + vX_[7438] * vX_[1274] -
+ vX_[837] * x_in[27];
+ vX_[838] = vX_[7997] + vX_[9185] + vX_[8428] - vX_[9170] - vX_[9168];
+ vX_[8250] = 0 - vX_[838];
+ vX_[9165] = vX_[9165] + vX_[8250] * vX_[355];
+ vX_[9157] = vX_[9157] + vX_[838] * vX_[274];
+ vX_[8267] = 0 - vX_[8253];
+ vX_[2465] = 0 - vX_[9138];
+ vX_[1259] = vX_[9197] + vX_[9194] + vX_[9153] + vX_[1799] - vX_[9136] - vX_[1864];
+ vX_[1859] = vX_[1259] - vX_[1859];
+ vX_[8252] = 0 - vX_[9148];
+ vX_[7583] = 0 - vX_[9175];
+ vX_[2478] = 0 - vX_[9168];
+ vX_[2482] = vX_[1454] - vX_[8423];
+ vX_[2847] = vX_[8415] + vX_[2899];
+ vX_[2448] = vX_[2482] * vX_[354] + vX_[9318] * vX_[273];
+ vX_[1157] = vX_[2482] * vX_[367] + vX_[9318] * vX_[354];
+ vX_[8610] = vX_[8606] * 0.1104774 + vX_[8608] * 0.0004405 + vX_[8610] * 0.025941;
+ vX_[5378] = (0 - vX_[8595]) * -8.81e-05;
+ vX_[1554] = vX_[5378] + vX_[1554];
+ vX_[8614] = vX_[8595] * 0.0004405 + vX_[8606] * 8.81e-05 + vX_[8614] * 0.000468;
+ vX_[1554] = vX_[460] * vX_[1309] + vX_[9199] * vX_[1455] + vX_[1845] * vX_[1465] + vX_[8610] * vX_[1342] +
+ vX_[1554] * vX_[1241] + vX_[1554] * vX_[1241] + vX_[8614] * x_in[29];
+ vX_[5378] = vX_[5378] + vX_[1766];
+ vX_[8612] = vX_[8595] * -0.1104774 + vX_[8608] * -8.81e-05 + vX_[8612] * 0.026409;
+ vX_[5378] = vX_[9354] * vX_[1309] + vX_[2886] * vX_[2058] + vX_[1818] * vX_[1465] + vX_[8610] * vX_[1241] +
+ vX_[5378] * vX_[1342] + vX_[5378] * vX_[1342] - vX_[8612] * x_in[29];
+ vX_[8610] = vX_[8597] * 0.47422804 + vX_[8598] * -0.0825825 + vX_[8605] * 0.081641 + (0 - vX_[8594]) * 2.1e-05 +
+ vX_[8603] * 0.000102;
+ vX_[2886] = (0 - vX_[8605]) * 0.007418;
+ vX_[8659] = vX_[8664] + vX_[2886] - vX_[8659];
+ vX_[8664] = vX_[8593] * vX_[297] + vX_[8597] * vX_[313] + vX_[8598] * vX_[302] + vX_[8594] * vX_[345] +
+ vX_[8603] * vX_[341];
+ vX_[8659] = vX_[9243] * -0.35 + vX_[1554] * vX_[277] + vX_[5378] * vX_[279] + vX_[9355] * vX_[1551] +
+ vX_[8196] * vX_[1116] + vX_[4117] * vX_[1109] + vX_[8610] * vX_[1616] + vX_[8659] * vX_[1547] +
+ vX_[8659] * vX_[1547] + vX_[8664] * x_in[28];
+ vX_[2886] = vX_[8649] - vX_[2886] - vX_[8662];
+ vX_[8662] = vX_[8593] * vX_[310] + vX_[8597] * vX_[314] + vX_[8598] * vX_[308] + vX_[8594] * vX_[339] +
+ vX_[8603] * vX_[345];
+ vX_[2886] = vX_[1554] * vX_[280] + vX_[5378] * vX_[277] + vX_[9329] * vX_[1551] + vX_[1231] * vX_[1460] +
+ vX_[9226] * vX_[1109] + vX_[8610] * vX_[1547] + vX_[2886] * vX_[1616] + vX_[2886] * vX_[1616] -
+ vX_[8662] * x_in[28];
+ vX_[9135] = vX_[9172] - vX_[8258] + vX_[9135];
+ vX_[8258] = vX_[8576] * 0.1466472 + vX_[8585] * -0.5824264 + vX_[8592] * -5.1e-05 + (0 - vX_[8588]) * -0.123672 +
+ (0 - vX_[8590]) * 3.6e-05;
+ vX_[9172] = vX_[8588] * 0.022734;
+ vX_[7579] = vX_[8004] - vX_[7579] - vX_[9172];
+ vX_[8004] = vX_[8576] * vX_[324] + vX_[8552] * vX_[591] + vX_[8585] * vX_[541] + vX_[8588] * vX_[539] +
+ vX_[8590] * vX_[593];
+ vX_[7579] = vX_[8659] * vX_[276] + vX_[2886] * vX_[303] + vX_[9135] * vX_[1767] + vX_[8211] * vX_[1777] +
+ vX_[8258] * vX_[1026] + vX_[1467] * vX_[1274] + vX_[7579] * vX_[1130] + vX_[7579] * vX_[1130] -
+ vX_[8004] * x_in[27];
+ vX_[8641] = vX_[8641] * vX_[2050];
+ vX_[8642] = vX_[8642] * vX_[2050];
+ vX_[1467] = vX_[8641] * vX_[277] + vX_[8642] * vX_[279];
+ vX_[8643] = vX_[8643] * vX_[2050];
+ vX_[8211] = 0 - vX_[8643];
+ vX_[8613] = vX_[8613] * vX_[2045];
+ vX_[8610] = vX_[8613] * vX_[277];
+ vX_[1231] = vX_[8613] * vX_[279];
+ vX_[9226] = 0 - vX_[1231];
+ vX_[8629] = vX_[8629] * vX_[2057];
+ vX_[9329] = vX_[8629] * vX_[279];
+ vX_[8615] = vX_[8615] * vX_[2045];
+ vX_[8649] = vX_[8615] * vX_[277];
+ vX_[8196] = vX_[8615] * vX_[279];
+ vX_[4117] = 0 - vX_[8629];
+ vX_[9355] = vX_[4117] * vX_[277];
+ vX_[8630] = vX_[8630] * vX_[2057];
+ vX_[9243] = 0 - vX_[8630];
+ vX_[1818] = vX_[9243] * vX_[279];
+ vX_[9354] = vX_[8630] * vX_[277];
+ vX_[8617] = vX_[8617] * vX_[2047];
+ vX_[8608] = vX_[8641] + vX_[8617];
+ vX_[8618] = vX_[8618] * vX_[2047];
+ vX_[8595] = 0 - vX_[8642] - vX_[8618];
+ vX_[1766] = vX_[8608] * vX_[279] + vX_[8595] * vX_[277];
+ vX_[9199] = vX_[8617] * vX_[277] + vX_[8618] * vX_[279];
+ vX_[8635] = vX_[8635] * vX_[2057] + vX_[8623] * vX_[2045];
+ vX_[8623] = 0 - vX_[8635];
+ vX_[1845] = 0 - vX_[8635];
+ vX_[460] = vX_[1845] * vX_[277];
+ vX_[8606] = vX_[8635] * vX_[279];
+ vX_[1865] = vX_[8636] * vX_[1520] + vX_[8770] * vX_[1470] + vX_[8773] * vX_[1504];
+ vX_[1851] = 0 - vX_[1865];
+ vX_[8254] = vX_[8636] * vX_[1606] + vX_[8770] * vX_[1505] + vX_[8773] * vX_[1464];
+ vX_[2882] = vX_[1851] * x_in[18] + vX_[8254] * x_in[19];
+ vX_[1854] = 0 - vX_[2882];
+ vX_[8220] = 0 - vX_[2882];
+ vX_[8235] = vX_[8220] * vX_[277];
+ vX_[8233] = vX_[2882] * vX_[1473];
+ vX_[8636] = vX_[8636] * vX_[1502] + vX_[8770] * vX_[1521] + vX_[8773] * vX_[1607];
+ jac[1042] = vX_[1236] * vX_[1000] + vX_[1828] * vX_[1460] + vX_[8662] * vX_[1149] + vX_[8664] * vX_[1547] +
+ vX_[8653] + vX_[8636] * vX_[1526] + vX_[1865] * vX_[1477] + vX_[8254] * vX_[1511];
+ jac[1078] = vX_[8683] * vX_[2052] + vX_[9227] * vX_[2058] + vX_[8612] * vX_[1609] + vX_[8614] * vX_[1241] +
+ vX_[9258] + vX_[8636] * vX_[1535] + vX_[1865] * vX_[1488] + vX_[8254] * vX_[1508];
+ vX_[8612] = vX_[8636] * x_in[29];
+ vX_[8614] = vX_[8612] * vX_[277];
+ vX_[8683] = vX_[8612] * vX_[1473];
+ vX_[9227] = vX_[8636] * x_in[28];
+ vX_[9258] = vX_[9227] * vX_[1473];
+ vX_[8662] = vX_[1865] * x_in[27];
+ vX_[8664] = vX_[9227] * vX_[277];
+ vX_[1236] = vX_[8662] * vX_[277];
+ vX_[1828] = vX_[8662] * vX_[1473];
+ vX_[8653] = vX_[8647] * vX_[1563];
+ vX_[8773] = 0 - vX_[8653];
+ vX_[8770] = 0 - vX_[8653];
+ vX_[8230] = vX_[8770] * vX_[277];
+ vX_[8224] = vX_[8653] * vX_[1473];
+ vX_[7998] = 0 - vX_[7998];
+ vX_[2754] = vX_[1157] + vX_[9036];
+ vX_[2455] = 0 - vX_[9165];
+ vX_[7777] = 0 - vX_[9157];
+ vX_[1259] = 0 - vX_[1259] + vX_[8365];
+ vX_[8365] = 0 - vX_[9142];
+ vX_[8607] = vX_[8607] * vX_[2045];
+ vX_[2748] = vX_[8607] * vX_[279];
+ vX_[8609] = vX_[8609] * vX_[2045];
+ vX_[7011] = vX_[8609] * vX_[277];
+ vX_[8611] = vX_[8611] * vX_[2045];
+ vX_[8628] = vX_[8628] * vX_[2057];
+ vX_[8644] = vX_[8644] * vX_[2050];
+ vX_[7577] = vX_[8644] * vX_[277];
+ vX_[2430] = vX_[8644] * vX_[279];
+ vX_[7585] = 0 - vX_[2430];
+ vX_[8633] = vX_[8633] * vX_[1435];
+ vX_[2468] = vX_[8633] * vX_[279];
+ vX_[8645] = vX_[8645] * vX_[2050];
+ vX_[7152] = vX_[8645] * vX_[277];
+ vX_[2444] = vX_[8645] * vX_[279];
+ vX_[2677] = 0 - vX_[8607] - vX_[8633];
+ vX_[8634] = vX_[8634] * vX_[1435];
+ vX_[2876] = 0 - vX_[8609] - vX_[8634];
+ vX_[2907] = vX_[2677] * vX_[277] + vX_[2876] * vX_[279];
+ vX_[2461] = vX_[8634] * vX_[277];
+ vX_[8631] = vX_[8631] * vX_[2057] + vX_[8622] * vX_[2050];
+ vX_[8622] = vX_[8631] * vX_[277];
+ vX_[5391] = 0 - vX_[8254];
+ vX_[1036] = vX_[8636] * x_in[18] + vX_[5391] * x_in[20];
+ vX_[952] = vX_[1036] * vX_[1473];
+ vX_[1347] = vX_[8636] * x_in[27];
+ vX_[1664] = vX_[1865] * x_in[29];
+ vX_[1660] = 0 - vX_[1664];
+ vX_[1657] = vX_[1660] * vX_[277];
+ vX_[1980] = vX_[1664] * vX_[1473];
+ vX_[1976] = vX_[1865] * x_in[28];
+ vX_[1888] = 0 - vX_[1976];
+ vX_[2002] = vX_[1347] * vX_[277];
+ vX_[2000] = 0 - vX_[1976];
+ vX_[1989] = vX_[2000] * vX_[277];
+ vX_[2010] = vX_[1347] * vX_[1473];
+ vX_[7847] = vX_[1976] * vX_[1473];
+ vX_[7834] = vX_[8647] * vX_[1556];
+ vX_[2034] = vX_[1036] * vX_[277] + vX_[7834] * vX_[277];
+ vX_[2023] = vX_[8631] * vX_[279] + vX_[7834] * vX_[1473];
+ jac[358] =
+ 0 -
+ (vX_[8416] * vX_[1400] + vX_[8403] * vX_[1580] + vX_[8214] * vX_[711] + vX_[9318] * vX_[713] +
+ vX_[9241] * vX_[370] + vX_[9036] * vX_[693] + vX_[9322] * vX_[353] + vX_[9189] * vX_[677] +
+ vX_[633] * vX_[378] + vX_[1799] * vX_[655] + vX_[9332] * vX_[654] + vX_[474] * vX_[651] +
+ vX_[1662] * vX_[387] + vX_[391] * vX_[601] + vX_[420] * vX_[603] + vX_[426] * vX_[631] +
+ vX_[9208] * vX_[545] + vX_[560] * vX_[598] + vX_[8187] * x_in[22] + vX_[999] * x_in[19] +
+ (vX_[8408] * vX_[1400] + vX_[9169] * vX_[367] + vX_[8187] * x_in[20]) * 0.3735 -
+ (vX_[8418] * vX_[1279] + vX_[7438] * x_in[23]) + (vX_[8403] * vX_[1279] + vX_[7438] * x_in[19]) * 0.3735 +
+ (vX_[8434] * vX_[1279] + vX_[9147] * vX_[543] + vX_[9142] * vX_[597] + vX_[838] * vX_[380] +
+ vX_[8266] * vX_[382] + vX_[9165] * vX_[353] + vX_[9157] * vX_[362] + vX_[8267] * vX_[365] +
+ vX_[2465] * vX_[381] + vX_[1859] * vX_[370] + vX_[8252] * vX_[541] + vX_[9142] * vX_[594] +
+ vX_[7583] * vX_[324] + vX_[2478] * vX_[548] + vX_[7438] * x_in[18]) *
+ 0.207 -
+ (vX_[8408] * vX_[1574] + vX_[2482] * vX_[710] + vX_[2847] * vX_[686] + vX_[2448] * vX_[353] +
+ vX_[1157] * vX_[694] + vX_[8859] * vX_[652] + vX_[1618] * vX_[388] + vX_[9153] * vX_[678] +
+ vX_[9145] * vX_[653] + vX_[9151] * vX_[596] + vX_[9166] * vX_[377] + vX_[28] * vX_[600] +
+ vX_[9149] * vX_[630] + vX_[1774] * vX_[598] + vX_[2903] * vX_[549] + vX_[9169] * vX_[368] +
+ vX_[7579] * x_in[20]) +
+ vX_[8596] * vX_[2045] + vX_[8632] * vX_[1435] + vX_[1467] * vX_[275] + vX_[8211] * vX_[275] * 0.35 +
+ vX_[8643] * 0.3735 + vX_[8610] * 0.35 + vX_[8610] * vX_[303] * 0.08 + vX_[8610] * vX_[275] * -0.3735 +
+ vX_[9226] * vX_[303] * 0.3735 + vX_[1231] * vX_[275] * -0.08 + vX_[9329] * vX_[303] * -0.207 +
+ vX_[8649] * vX_[303] * 0.3735 + vX_[8649] * vX_[275] * 0.08 + vX_[8196] * 0.35 +
+ vX_[8196] * vX_[303] * 0.08 + vX_[8196] * vX_[275] * -0.3735 +
+ (vX_[9355] * vX_[275] + vX_[1818] * vX_[275]) * 0.207 + vX_[9354] * vX_[303] * 0.207 +
+ vX_[1766] * vX_[303] + vX_[9199] * vX_[275] + (0 - vX_[8635]) * 0.08 + vX_[8623] * vX_[303] * 0.35 +
+ vX_[460] * vX_[303] * 0.33 + vX_[8606] * vX_[275] * 0.33 + (0 - vX_[2882]) * 0.08 +
+ vX_[1854] * vX_[303] * 0.35 + vX_[8235] * vX_[303] * 0.33 + vX_[8233] * vX_[275] * 0.33 +
+ vX_[8614] * vX_[275] * 0.33 + vX_[8683] * vX_[303] * 0.33 + vX_[9227] * vX_[275] * 0.35 +
+ vX_[9258] * vX_[303] * 0.33 + vX_[8662] * 0.08 + vX_[8662] * vX_[303] * 0.35 +
+ (vX_[8664] * vX_[275] + vX_[1236] * vX_[303]) * 0.33 + vX_[1828] * vX_[275] * -0.33 +
+ (0 - vX_[8653]) * 0.08 + vX_[8773] * vX_[303] * 0.35 + vX_[8230] * vX_[303] * 0.33 +
+ vX_[8224] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[8418] * vX_[1400] + vX_[8416] * vX_[1279] + vX_[8408] * vX_[1580] + vX_[8403] * vX_[1574] +
+ vX_[2482] * vX_[713] + vX_[8214] * vX_[709] + vX_[9318] * vX_[710] + vX_[2847] * vX_[370] +
+ vX_[7998] * vX_[686] + vX_[2448] * vX_[693] + vX_[2754] * vX_[353] + vX_[9322] * vX_[694] +
+ vX_[9189] * vX_[678] + vX_[8859] * vX_[655] + vX_[1618] * vX_[378] + vX_[633] * vX_[388] +
+ vX_[9153] * vX_[677] + vX_[1799] * vX_[652] + vX_[9145] * vX_[654] + vX_[9151] * vX_[651] +
+ vX_[9332] * vX_[653] + vX_[474] * vX_[596] + vX_[9166] * vX_[387] + vX_[1662] * vX_[377] +
+ vX_[28] * vX_[603] + vX_[391] * vX_[599] + vX_[420] * vX_[600] + vX_[9149] * vX_[631] +
+ vX_[425] * vX_[630] + vX_[1774] * vX_[545] + vX_[9176] * vX_[598] + vX_[560] * vX_[549] +
+ vX_[9169] * vX_[366] +
+ (vX_[9148] * vX_[595] + vX_[9139] * vX_[333] + vX_[9175] * vX_[382] + vX_[8250] * vX_[357] +
+ vX_[9170] * vX_[371] + vX_[2455] * vX_[356] + vX_[9161] * vX_[365] + vX_[7777] * vX_[353] +
+ vX_[9146] * vX_[370] + vX_[1259] * vX_[381] + vX_[9148] * vX_[591] + vX_[8365] * vX_[540] +
+ vX_[9175] * vX_[386] + vX_[9170] * vX_[537]) *
+ 0.207 +
+ vX_[8187] * x_in[23] + vX_[7438] * x_in[22] + vX_[999] * x_in[20] + vX_[7579] * x_in[19] +
+ (vX_[8403] * vX_[1400] + vX_[9169] * vX_[354] + vX_[8187] * x_in[19]) * -0.3735 +
+ (vX_[8434] * vX_[1400] + vX_[8187] * x_in[18]) * -0.207 +
+ (vX_[8408] * vX_[1279] + vX_[7438] * x_in[20]) * 0.3735 + vX_[8640] * vX_[2050] + vX_[8616] * vX_[2047] -
+ vX_[2748] * vX_[303] + vX_[7011] * vX_[303] + (0 - vX_[8611]) * 0.3735 + vX_[8611] * vX_[275] * 0.35 +
+ (0 - vX_[8628]) * 0.207 + vX_[7577] * 0.35 + vX_[7577] * vX_[303] * 0.08 + vX_[7577] * vX_[275] * -0.3735 +
+ vX_[7585] * vX_[303] * 0.3735 + (0 - vX_[2430] * vX_[275]) * 0.08 - vX_[2468] * vX_[303] +
+ vX_[7152] * vX_[303] * 0.3735 + vX_[7152] * vX_[275] * 0.08 + vX_[2444] * 0.35 +
+ vX_[2444] * vX_[303] * 0.08 + vX_[2444] * vX_[275] * -0.3735 + vX_[2907] * vX_[275] + vX_[2461] * vX_[303] +
+ vX_[8631] * 0.08 + vX_[8631] * vX_[303] * 0.35 + vX_[8622] * vX_[303] * 0.33 + vX_[1036] * 0.08 +
+ vX_[1036] * vX_[303] * 0.35 + vX_[952] * vX_[275] * -0.33 + vX_[1347] * 0.08 + vX_[1347] * vX_[303] * 0.35 +
+ vX_[1657] * vX_[275] * 0.33 + vX_[1980] * vX_[303] * -0.33 + vX_[1888] * vX_[275] * 0.35 +
+ (vX_[2002] * vX_[303] + vX_[1989] * vX_[275]) * 0.33 +
+ (vX_[2010] * vX_[275] + vX_[7847] * vX_[303]) * -0.33 + vX_[7834] * 0.08 + vX_[7834] * vX_[303] * 0.35 +
+ vX_[2034] * vX_[303] * 0.33 + vX_[2023] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[8643] = vX_[1853] - vX_[41];
+ vX_[2482] = vX_[8846] + vX_[9207];
+ vX_[8250] = vX_[8841] + vX_[9203];
+ vX_[838] = 0 - vX_[8250];
+ vX_[9169] = vX_[8643] * vX_[273];
+ vX_[9139] = vX_[8643] * vX_[354];
+ vX_[9145] = vX_[8843] + vX_[9206];
+ vX_[9147] = vX_[4108] + vX_[9319];
+ vX_[425] = vX_[8842] + vX_[8853];
+ vX_[9149] = vX_[8833] + vX_[801];
+ vX_[9151] = vX_[9149] * vX_[354] + vX_[425] * vX_[273];
+ vX_[9153] = vX_[9149] * vX_[367] + vX_[425] * vX_[354];
+ vX_[8266] = vX_[4116] + vX_[8669];
+ vX_[9166] = 0 - (vX_[8840] + vX_[737]) + vX_[8266];
+ vX_[9176] = vX_[1083] - vX_[8817];
+ vX_[2903] = vX_[8836] + vX_[664];
+ vX_[1774] = vX_[3708] + vX_[9321];
+ vX_[28] = 0 - vX_[1774];
+ vX_[560] = vX_[9176] * vX_[273];
+ vX_[9208] = vX_[9176] * vX_[354];
+ vX_[426] = vX_[9019] * 0.881 + (0 - vX_[9021]) * 0.0004405 + vX_[9023] * -8.81e-05;
+ vX_[420] = vX_[9017] * -0.881;
+ vX_[391] = vX_[9021] * 0.1104774;
+ vX_[1662] = vX_[9025] * -8.81e-05;
+ vX_[1618] = vX_[420] - vX_[391] + vX_[1662];
+ vX_[474] = vX_[426] * vX_[1241] + vX_[1618] * vX_[1342];
+ vX_[9332] = vX_[9009] * 3.146 + (0 - vX_[9016]) * -0.0825825;
+ vX_[8859] = vX_[9008] * -3.146;
+ vX_[1799] = vX_[9016] * 0.47422804;
+ vX_[633] = vX_[8859] - vX_[1799];
+ vX_[9189] = vX_[474] + vX_[9332] * vX_[1547] + vX_[633] * vX_[1616];
+ vX_[9318] = vX_[1352] * 3.44 + vX_[8972] * -0.5824264;
+ vX_[8214] = 0 - vX_[9318];
+ vX_[8640] = vX_[8999] * 3.44 + (0 - vX_[8972]) * 0.1466472;
+ vX_[8632] = vX_[8999] * vX_[370] + vX_[1306] * vX_[353] + vX_[1352] * vX_[362] + vX_[8972] * vX_[541] +
+ vX_[1344] * vX_[594];
+ vX_[8616] = vX_[9189] + vX_[8214] * vX_[1026] + vX_[8640] * vX_[1130] + vX_[8632] * x_in[27];
+ vX_[8596] = 0 - vX_[426];
+ vX_[1662] = 0 - vX_[420] + vX_[391] - vX_[1662];
+ vX_[391] = vX_[9006] * 0.0004405 + vX_[9017] * -8.81e-05 + vX_[9025] * -0.000227999999999999;
+ vX_[420] = vX_[9006] * 0.1104774 + vX_[9019] * -8.81e-05 + (0 - vX_[9023]) * 0.025713;
+ vX_[2039] = (0 - vX_[9017]) * 0.0004405;
+ vX_[2021] = (0 - vX_[9019]) * 0.1104774;
+ vX_[2042] = vX_[2039] + vX_[2021];
+ vX_[2042] = vX_[8596] * vX_[2058] + vX_[1662] * vX_[1455] + vX_[391] * vX_[1241] + vX_[420] * vX_[1342] +
+ vX_[2042] * vX_[1465] + vX_[2042] * vX_[1465];
+ vX_[2043] = vX_[9006] * 0.881 + (0 - vX_[9023]) * 0.1104774 + vX_[9025] * 0.0004405;
+ vX_[2048] = vX_[9017] * 0.00185880198235362 + vX_[9019] * 0.880992588508842 + vX_[9023] * -8.81e-05;
+ vX_[8596] = vX_[8596] * vX_[1465] + vX_[2043] * vX_[1342] + vX_[2048] * x_in[29];
+ vX_[7853] = 0 - vX_[2043];
+ vX_[2066] = vX_[9017] * 0.414812462825713 + vX_[9019] * 0.00185880198235362 + vX_[9025] * 8.81e-05;
+ vX_[1662] = vX_[1662] * vX_[1465] + vX_[7853] * vX_[1241] - vX_[2066] * x_in[29];
+ vX_[2064] = 0 - vX_[9332];
+ vX_[1799] = 0 - vX_[8859] + vX_[1799];
+ vX_[8859] = vX_[9004] * -0.0825825 + (0 - vX_[9016]) * 0.000102 + vX_[9005] * 0.007418 + vX_[9014] * 0.002735;
+ vX_[2071] = vX_[9004] * 0.47422804 + vX_[9016] * 2.1e-05 + (0 - vX_[9005]) * 0.084376 + (0 - vX_[9014]) * 0.007418;
+ vX_[2075] = (0 - vX_[9008]) * -0.0825825;
+ vX_[2080] = (0 - vX_[9009]) * 0.47422804;
+ vX_[2096] = vX_[9005] * 0.000102;
+ vX_[7946] = (0 - vX_[9014]) * 2.1e-05;
+ vX_[2507] = vX_[2075] + vX_[2080] + vX_[2096] + vX_[7946];
+ vX_[2507] = vX_[2042] + vX_[8596] * vX_[1388] + vX_[1662] * vX_[282] + vX_[2064] * vX_[1460] +
+ vX_[1799] * vX_[1116] + vX_[8859] * vX_[1547] + vX_[2071] * vX_[1616] + vX_[2507] * vX_[1109] +
+ vX_[2507] * vX_[1109];
+ vX_[1388] = vX_[9004] * 3.146 + (0 - vX_[9005]) * 0.47422804 + vX_[9014] * -0.0825825;
+ vX_[2497] = vX_[9008] * vX_[330] + vX_[9009] * vX_[329] + vX_[9005] * vX_[308] + vX_[9014] * vX_[302];
+ vX_[2064] = vX_[8596] * vX_[277] + vX_[1662] * vX_[279] + vX_[2064] * vX_[1109] + vX_[1388] * vX_[1616] +
+ vX_[2497] * x_in[28];
+ vX_[2427] = 0 - vX_[1388];
+ vX_[2423] = vX_[9008] * vX_[328] + vX_[9009] * vX_[330] + vX_[9005] * vX_[314] + vX_[9014] * vX_[313];
+ vX_[1799] = vX_[8596] * vX_[1380] + vX_[1662] * vX_[277] + vX_[1799] * vX_[1109] + vX_[2427] * vX_[1547] -
+ vX_[2423] * x_in[28];
+ vX_[1380] = 0 - vX_[8640];
+ vX_[2425] = vX_[1306] * -0.5824264 + (0 - vX_[9003]) * 0.022734 + vX_[8972] * 3.6e-05 + vX_[1344] * -0.133138;
+ vX_[7839] = vX_[1306] * 0.1466472 + vX_[9003] * 0.009466 + (0 - vX_[8972]) * -5.1e-05 + vX_[1344] * 0.022734;
+ vX_[2087] = (0 - vX_[8999]) * -0.5824264;
+ vX_[2103] = (0 - vX_[1352]) * 0.1466472;
+ vX_[2106] = (0 - vX_[9003]) * 3.6e-05;
+ vX_[2206] = (0 - vX_[1344]) * -5.1e-05;
+ vX_[7831] = vX_[2087] + vX_[2103] + vX_[2106] - vX_[2206];
+ vX_[350] = vX_[8999] * vX_[386] + vX_[1306] * vX_[540] + vX_[1352] * vX_[594] + vX_[8972] * vX_[593] +
+ vX_[1344] * vX_[350];
+ vX_[7831] = vX_[2507] + vX_[2064] * vX_[1376] + vX_[1799] * vX_[321] + vX_[9318] * vX_[1767] +
+ vX_[1380] * vX_[1126] + vX_[2425] * vX_[1026] + vX_[7839] * vX_[1130] + vX_[7831] * vX_[1274] +
+ vX_[7831] * vX_[1274] + vX_[350] * x_in[27];
+ vX_[7848] = vX_[682] - vX_[8817];
+ vX_[4928] = vX_[7848] * vX_[354] + vX_[2903] * vX_[273];
+ vX_[2438] = vX_[7848] * vX_[367] + vX_[2903] * vX_[354];
+ vX_[7833] = vX_[2438] + vX_[560];
+ vX_[7156] = vX_[4928] * vX_[367] + vX_[7833] * vX_[354] + vX_[9208] * vX_[273];
+ vX_[4924] = 0 - vX_[7156];
+ vX_[4941] = vX_[8817] + vX_[4928] * vX_[354] + vX_[560] * vX_[273];
+ vX_[5300] = 0 - vX_[4941];
+ vX_[4932] = vX_[8817] + vX_[2438] * vX_[367] + vX_[9208] * vX_[354];
+ vX_[2421] = vX_[8839] + vX_[731] - vX_[9147];
+ vX_[6657] = vX_[8266] * vX_[354] + vX_[9147] * vX_[273];
+ vX_[2490] = 0 - (vX_[2421] * vX_[367] + vX_[9166] * vX_[354]) + vX_[6657];
+ vX_[2861] = vX_[2490] + vX_[4941] * vX_[355];
+ vX_[7835] = 0 - vX_[2861];
+ vX_[5370] = vX_[8266] * vX_[367] + vX_[9147] * vX_[354];
+ vX_[2493] = vX_[2421] * vX_[354] + vX_[9166] * vX_[273] + vX_[5370];
+ vX_[7801] = 0 - vX_[4932];
+ vX_[7816] = vX_[2493] + vX_[7156] * vX_[355] + vX_[7801] * vX_[274];
+ vX_[7814] = vX_[8838] + vX_[718];
+ vX_[7811] = vX_[9145] * vX_[354] + vX_[7814] * vX_[367];
+ vX_[7805] = vX_[7811] * vX_[354] + vX_[9153] * vX_[273];
+ vX_[5181] = vX_[3689] + vX_[725];
+ vX_[1774] = 0 - vX_[1774];
+ vX_[4930] = vX_[5181] * vX_[367] + vX_[1774] * vX_[354];
+ vX_[7350] = 0 - vX_[4930];
+ vX_[5252] = vX_[7805] + vX_[7350] * vX_[274] + vX_[5300] * vX_[369];
+ vX_[6592] = 0 - vX_[5252];
+ vX_[7150] = vX_[9145] * vX_[273] + vX_[7814] * vX_[354];
+ vX_[4917] = vX_[7150] * vX_[367] + vX_[9151] * vX_[354];
+ vX_[7158] = vX_[5181] * vX_[354] + vX_[28] * vX_[273];
+ vX_[4921] = 0 - vX_[7158];
+ vX_[6725] = vX_[4917] + vX_[4921] * vX_[355] + vX_[4932] * vX_[369];
+ vX_[4907] = vX_[7150] * vX_[354] + vX_[9151] * vX_[273];
+ vX_[5104] = vX_[4907] + vX_[4930] * vX_[355];
+ vX_[5380] = vX_[7811] * vX_[367] + vX_[9153] * vX_[354];
+ vX_[5399] = vX_[5380] + vX_[7158] * vX_[274] + vX_[4924] * vX_[369];
+ vX_[4920] = 0 - vX_[5104] + vX_[5399];
+ vX_[6648] = 0 - vX_[7156];
+ vX_[4248] = 0 - vX_[4941];
+ vX_[5300] = vX_[4924] * vX_[597] + vX_[5300] * vX_[543] + vX_[4932] * vX_[333] + vX_[7835] * vX_[370] +
+ vX_[7816] * vX_[381] + vX_[6592] * vX_[362] + vX_[6725] * vX_[356] + vX_[4920] * vX_[353] +
+ vX_[6648] * vX_[594] + vX_[7156] * vX_[591] + vX_[4248] * vX_[542] + vX_[4932] * vX_[546];
+ vX_[4924] = vX_[1306] * -3.44;
+ vX_[546] = vX_[9003] * 0.1466472;
+ vX_[542] = vX_[1344] * -0.5824264;
+ vX_[4252] = 0 - vX_[4924] + vX_[546] - vX_[542];
+ vX_[4321] = vX_[8999] * vX_[381] + vX_[1306] * vX_[356] + vX_[1352] * vX_[353] + vX_[8972] * vX_[591] +
+ vX_[1344] * vX_[540];
+ vX_[1380] = vX_[2064] * vX_[1375] + vX_[1799] * vX_[303] + vX_[4252] * vX_[1026] + vX_[1380] * vX_[1274] -
+ vX_[4321] * x_in[27];
+ vX_[4319] = vX_[682] + vX_[1083] + vX_[8817] - vX_[4941] - vX_[4932];
+ vX_[4323] = 0 - vX_[4319];
+ vX_[6657] = vX_[6657] + vX_[4323] * vX_[355];
+ vX_[5370] = vX_[5370] + vX_[4319] * vX_[274];
+ vX_[4394] = 0 - vX_[7816];
+ vX_[4392] = 0 - vX_[6725];
+ vX_[4396] = vX_[9323] + vX_[9320] + vX_[7814] + vX_[425] - vX_[4907] - vX_[5380];
+ vX_[5399] = vX_[4396] - vX_[5399];
+ vX_[4471] = 0 - vX_[4930];
+ vX_[4469] = 0 - vX_[7156];
+ vX_[4480] = 0 - vX_[4932];
+ vX_[4482] = vX_[9209] - vX_[41];
+ vX_[4488] = vX_[8844] + vX_[9188];
+ vX_[7420] = vX_[4482] * vX_[354] + vX_[2482] * vX_[273];
+ vX_[7407] = vX_[4482] * vX_[367] + vX_[2482] * vX_[354];
+ vX_[9021] = vX_[9017] * 0.1104774 + vX_[9019] * 0.0004405 + vX_[9021] * 0.025941;
+ vX_[4491] = (0 - vX_[9006]) * -8.81e-05;
+ vX_[2021] = vX_[4491] + vX_[2021];
+ vX_[9025] = vX_[9006] * 0.0004405 + vX_[9017] * 8.81e-05 + vX_[9025] * 0.000468;
+ vX_[2021] = vX_[426] * vX_[1309] + vX_[7853] * vX_[1455] + vX_[391] * vX_[1465] + vX_[9021] * vX_[1342] +
+ vX_[2021] * vX_[1241] + vX_[2021] * vX_[1241] + vX_[9025] * x_in[29];
+ vX_[4491] = vX_[4491] + vX_[2039];
+ vX_[9023] = vX_[9006] * -0.1104774 + vX_[9019] * -8.81e-05 + vX_[9023] * 0.026409;
+ vX_[4491] = vX_[1618] * vX_[1309] + vX_[2043] * vX_[2058] + vX_[420] * vX_[1465] + vX_[9021] * vX_[1241] +
+ vX_[4491] * vX_[1342] + vX_[4491] * vX_[1342] - vX_[9023] * x_in[29];
+ vX_[9021] = vX_[9008] * 0.47422804 + vX_[9009] * -0.0825825 + vX_[9016] * 0.081641 + (0 - vX_[9005]) * 2.1e-05 +
+ vX_[9014] * 0.000102;
+ vX_[2043] = (0 - vX_[9016]) * 0.007418;
+ vX_[7946] = vX_[2080] + vX_[2043] - vX_[7946];
+ vX_[341] = vX_[9004] * vX_[297] + vX_[9008] * vX_[313] + vX_[9009] * vX_[302] + vX_[9005] * vX_[345] +
+ vX_[9014] * vX_[341];
+ vX_[7946] = vX_[474] * -0.35 + vX_[2021] * vX_[277] + vX_[4491] * vX_[279] + vX_[9332] * vX_[1551] +
+ vX_[2427] * vX_[1116] + vX_[8859] * vX_[1109] + vX_[9021] * vX_[1616] + vX_[7946] * vX_[1547] +
+ vX_[7946] * vX_[1547] + vX_[341] * x_in[28];
+ vX_[2043] = vX_[2075] - vX_[2043] - vX_[2096];
+ vX_[339] = vX_[9004] * vX_[310] + vX_[9008] * vX_[314] + vX_[9009] * vX_[308] + vX_[9005] * vX_[339] +
+ vX_[9014] * vX_[345];
+ vX_[2043] = vX_[2021] * vX_[280] + vX_[4491] * vX_[277] + vX_[633] * vX_[1551] + vX_[1388] * vX_[1460] +
+ vX_[2071] * vX_[1109] + vX_[9021] * vX_[1547] + vX_[2043] * vX_[1616] + vX_[2043] * vX_[1616] -
+ vX_[339] * x_in[28];
+ vX_[542] = vX_[4924] - vX_[546] + vX_[542];
+ vX_[546] = vX_[8999] * 0.1466472 + vX_[1352] * -0.5824264 + vX_[9003] * -5.1e-05 + (0 - vX_[8972]) * -0.123672 +
+ (0 - vX_[1344]) * 3.6e-05;
+ vX_[4924] = vX_[8972] * 0.022734;
+ vX_[2106] = vX_[2087] - vX_[2106] - vX_[4924];
+ vX_[593] = vX_[8999] * vX_[324] + vX_[1306] * vX_[591] + vX_[1352] * vX_[541] + vX_[8972] * vX_[539] +
+ vX_[1344] * vX_[593];
+ vX_[2106] = vX_[7946] * vX_[276] + vX_[2043] * vX_[303] + vX_[542] * vX_[1767] + vX_[8640] * vX_[1777] +
+ vX_[546] * vX_[1026] + vX_[7839] * vX_[1274] + vX_[2106] * vX_[1130] + vX_[2106] * vX_[1130] -
+ vX_[593] * x_in[27];
+ vX_[9052] = vX_[9052] * vX_[2050];
+ vX_[9053] = vX_[9053] * vX_[2050];
+ vX_[7839] = vX_[9052] * vX_[277] + vX_[9053] * vX_[279];
+ vX_[9054] = vX_[9054] * vX_[2050];
+ vX_[8640] = 0 - vX_[9054];
+ vX_[9024] = vX_[9024] * vX_[2045];
+ vX_[539] = vX_[9024] * vX_[277];
+ vX_[2087] = vX_[9024] * vX_[279];
+ vX_[9021] = 0 - vX_[2087];
+ vX_[9040] = vX_[9040] * vX_[2057];
+ vX_[1388] = vX_[9040] * vX_[279];
+ vX_[9026] = vX_[9026] * vX_[2045];
+ vX_[2071] = vX_[9026] * vX_[277];
+ vX_[633] = vX_[9026] * vX_[279];
+ vX_[1551] = 0 - vX_[9040];
+ vX_[345] = vX_[1551] * vX_[277];
+ vX_[9041] = vX_[9041] * vX_[2057];
+ vX_[2096] = 0 - vX_[9041];
+ vX_[2075] = vX_[2096] * vX_[279];
+ vX_[2427] = vX_[9041] * vX_[277];
+ vX_[9028] = vX_[9028] * vX_[2047];
+ vX_[8859] = vX_[9052] + vX_[9028];
+ vX_[9029] = vX_[9029] * vX_[2047];
+ vX_[9332] = 0 - vX_[9053] - vX_[9029];
+ vX_[474] = vX_[8859] * vX_[279] + vX_[9332] * vX_[277];
+ vX_[2080] = vX_[9028] * vX_[277] + vX_[9029] * vX_[279];
+ vX_[9046] = vX_[9046] * vX_[2057] + vX_[9034] * vX_[2045];
+ vX_[9034] = 0 - vX_[9046];
+ vX_[420] = 0 - vX_[9046];
+ vX_[1618] = vX_[420] * vX_[277];
+ vX_[1309] = vX_[9046] * vX_[279];
+ vX_[1520] = vX_[9047] * vX_[1520] + vX_[1245] * vX_[1470] + vX_[1239] * vX_[1504];
+ vX_[1504] = 0 - vX_[1520];
+ vX_[1606] = vX_[9047] * vX_[1606] + vX_[1245] * vX_[1505] + vX_[1239] * vX_[1464];
+ vX_[1464] = vX_[1504] * x_in[18] + vX_[1606] * x_in[19];
+ vX_[1505] = 0 - vX_[1464];
+ vX_[1470] = 0 - vX_[1464];
+ vX_[1342] = vX_[1470] * vX_[277];
+ vX_[1465] = vX_[1464] * vX_[1473];
+ vX_[9047] = vX_[9047] * vX_[1502] + vX_[1245] * vX_[1521] + vX_[1239] * vX_[1607];
+ jac[1043] = vX_[2423] * vX_[1000] + vX_[2497] * vX_[1460] + vX_[339] * vX_[1149] + vX_[341] * vX_[1547] +
+ vX_[2507] + vX_[9047] * vX_[1526] + vX_[1520] * vX_[1477] + vX_[1606] * vX_[1511];
+ jac[1079] = vX_[2066] * vX_[2052] + vX_[2048] * vX_[2058] + vX_[9023] * vX_[1609] + vX_[9025] * vX_[1241] +
+ vX_[2042] + vX_[9047] * vX_[1535] + vX_[1520] * vX_[1488] + vX_[1606] * vX_[1508];
+ vX_[9023] = vX_[9047] * x_in[29];
+ vX_[9025] = vX_[9023] * vX_[277];
+ vX_[2066] = vX_[9023] * vX_[1473];
+ vX_[2048] = vX_[9047] * x_in[28];
+ vX_[2042] = vX_[2048] * vX_[1473];
+ vX_[2052] = vX_[1520] * x_in[27];
+ vX_[1609] = vX_[2048] * vX_[277];
+ vX_[2058] = vX_[2052] * vX_[277];
+ vX_[1241] = vX_[2052] * vX_[1473];
+ vX_[1563] = vX_[9058] * vX_[1563];
+ vX_[1535] = 0 - vX_[1563];
+ vX_[1508] = 0 - vX_[1563];
+ vX_[1488] = vX_[1508] * vX_[277];
+ vX_[339] = vX_[1563] * vX_[1473];
+ vX_[8250] = 0 - vX_[8250];
+ vX_[341] = vX_[7407] + vX_[9169];
+ vX_[2423] = 0 - vX_[6657];
+ vX_[2497] = 0 - vX_[5370];
+ vX_[4396] = 0 - vX_[4396] + vX_[5104];
+ vX_[5104] = 0 - vX_[7158];
+ vX_[9018] = vX_[9018] * vX_[2045];
+ vX_[2507] = vX_[9018] * vX_[279];
+ vX_[9020] = vX_[9020] * vX_[2045];
+ vX_[1000] = vX_[9020] * vX_[277];
+ vX_[9022] = vX_[9022] * vX_[2045];
+ vX_[9039] = vX_[9039] * vX_[2057];
+ vX_[9055] = vX_[9055] * vX_[2050];
+ vX_[1149] = vX_[9055] * vX_[277];
+ vX_[1526] = vX_[9055] * vX_[279];
+ vX_[1511] = 0 - vX_[1526];
+ vX_[9044] = vX_[9044] * vX_[1435];
+ vX_[1477] = vX_[9044] * vX_[279];
+ vX_[9056] = vX_[9056] * vX_[2050];
+ vX_[1239] = vX_[9056] * vX_[277];
+ vX_[1245] = vX_[9056] * vX_[279];
+ vX_[1502] = 0 - vX_[9018] - vX_[9044];
+ vX_[9045] = vX_[9045] * vX_[1435];
+ vX_[1607] = 0 - vX_[9020] - vX_[9045];
+ vX_[1521] = vX_[1502] * vX_[277] + vX_[1607] * vX_[279];
+ vX_[9019] = vX_[9045] * vX_[277];
+ vX_[9042] = vX_[9042] * vX_[2057] + vX_[9033] * vX_[2050];
+ vX_[9033] = vX_[9042] * vX_[277];
+ vX_[9006] = 0 - vX_[1606];
+ vX_[2039] = vX_[9047] * x_in[18] + vX_[9006] * x_in[20];
+ vX_[7853] = vX_[2039] * vX_[1473];
+ vX_[391] = vX_[9047] * x_in[27];
+ vX_[426] = vX_[1520] * x_in[29];
+ vX_[1455] = 0 - vX_[426];
+ vX_[9017] = vX_[1455] * vX_[277];
+ vX_[4505] = vX_[426] * vX_[1473];
+ vX_[4499] = vX_[1520] * x_in[28];
+ vX_[4503] = 0 - vX_[4499];
+ vX_[4509] = vX_[391] * vX_[277];
+ vX_[4492] = 0 - vX_[4499];
+ vX_[4495] = vX_[4492] * vX_[277];
+ vX_[7426] = vX_[391] * vX_[1473];
+ vX_[4512] = vX_[4499] * vX_[1473];
+ vX_[1556] = vX_[9058] * vX_[1556];
+ vX_[4522] = vX_[2039] * vX_[277] + vX_[1556] * vX_[277];
+ vX_[4520] = vX_[9042] * vX_[279] + vX_[1556] * vX_[1473];
+ jac[359] =
+ 0 -
+ (vX_[8845] * vX_[1400] + vX_[8832] * vX_[1580] + vX_[8643] * vX_[711] + vX_[2482] * vX_[713] +
+ vX_[838] * vX_[370] + vX_[9169] * vX_[693] + vX_[9139] * vX_[353] + vX_[9145] * vX_[677] +
+ vX_[9147] * vX_[378] + vX_[425] * vX_[655] + vX_[9151] * vX_[654] + vX_[9153] * vX_[651] +
+ vX_[9166] * vX_[387] + vX_[9176] * vX_[601] + vX_[2903] * vX_[603] + vX_[28] * vX_[631] +
+ vX_[560] * vX_[545] + vX_[9208] * vX_[598] + vX_[8616] * x_in[22] + vX_[7831] * x_in[19] +
+ (vX_[8837] * vX_[1400] + vX_[5300] * vX_[367] + vX_[8616] * x_in[20]) * 0.3735 -
+ (vX_[8847] * vX_[1279] + vX_[1380] * x_in[23]) + (vX_[8832] * vX_[1279] + vX_[1380] * x_in[19]) * 0.3735 +
+ (vX_[8863] * vX_[1279] + vX_[7350] * vX_[543] + vX_[7158] * vX_[597] + vX_[4319] * vX_[380] +
+ vX_[7801] * vX_[382] + vX_[6657] * vX_[353] + vX_[5370] * vX_[362] + vX_[4394] * vX_[365] +
+ vX_[4392] * vX_[381] + vX_[5399] * vX_[370] + vX_[4471] * vX_[541] + vX_[7158] * vX_[594] +
+ vX_[4469] * vX_[324] + vX_[4480] * vX_[548] + vX_[1380] * x_in[18]) *
+ 0.207 -
+ (vX_[8837] * vX_[1574] + vX_[4482] * vX_[710] + vX_[4488] * vX_[686] + vX_[7420] * vX_[353] +
+ vX_[7407] * vX_[694] + vX_[9149] * vX_[652] + vX_[8266] * vX_[388] + vX_[7814] * vX_[678] +
+ vX_[7150] * vX_[653] + vX_[7811] * vX_[596] + vX_[2421] * vX_[377] + vX_[7848] * vX_[600] +
+ vX_[5181] * vX_[630] + vX_[4928] * vX_[598] + vX_[2438] * vX_[549] + vX_[5300] * vX_[368] +
+ vX_[2106] * x_in[20]) +
+ vX_[9007] * vX_[2045] + vX_[9043] * vX_[1435] + vX_[7839] * vX_[275] + vX_[8640] * vX_[275] * 0.35 +
+ vX_[9054] * 0.3735 + vX_[539] * 0.35 + vX_[539] * vX_[303] * 0.08 + vX_[539] * vX_[275] * -0.3735 +
+ vX_[9021] * vX_[303] * 0.3735 + vX_[2087] * vX_[275] * -0.08 + vX_[1388] * vX_[303] * -0.207 +
+ vX_[2071] * vX_[303] * 0.3735 + vX_[2071] * vX_[275] * 0.08 + vX_[633] * 0.35 + vX_[633] * vX_[303] * 0.08 +
+ vX_[633] * vX_[275] * -0.3735 + (vX_[345] * vX_[275] + vX_[2075] * vX_[275]) * 0.207 +
+ vX_[2427] * vX_[303] * 0.207 + vX_[474] * vX_[303] + vX_[2080] * vX_[275] + (0 - vX_[9046]) * 0.08 +
+ vX_[9034] * vX_[303] * 0.35 + vX_[1618] * vX_[303] * 0.33 + vX_[1309] * vX_[275] * 0.33 +
+ (0 - vX_[1464]) * 0.08 + vX_[1505] * vX_[303] * 0.35 + vX_[1342] * vX_[303] * 0.33 +
+ vX_[1465] * vX_[275] * 0.33 + vX_[9025] * vX_[275] * 0.33 + vX_[2066] * vX_[303] * 0.33 +
+ vX_[2048] * vX_[275] * 0.35 + vX_[2042] * vX_[303] * 0.33 + vX_[2052] * 0.08 + vX_[2052] * vX_[303] * 0.35 +
+ (vX_[1609] * vX_[275] + vX_[2058] * vX_[303]) * 0.33 + vX_[1241] * vX_[275] * -0.33 +
+ (0 - vX_[1563]) * 0.08 + vX_[1535] * vX_[303] * 0.35 + vX_[1488] * vX_[303] * 0.33 +
+ vX_[339] * vX_[275] * 0.33) *
+ vX_[1832] +
+ (vX_[8847] * vX_[1400] + vX_[8845] * vX_[1279] + vX_[8837] * vX_[1580] + vX_[8832] * vX_[1574] +
+ vX_[4482] * vX_[713] + vX_[8643] * vX_[709] + vX_[2482] * vX_[710] + vX_[4488] * vX_[370] +
+ vX_[8250] * vX_[686] + vX_[7420] * vX_[693] + vX_[341] * vX_[353] + vX_[9139] * vX_[694] +
+ vX_[9145] * vX_[678] + vX_[9149] * vX_[655] + vX_[8266] * vX_[378] + vX_[9147] * vX_[388] +
+ vX_[7814] * vX_[677] + vX_[425] * vX_[652] + vX_[7150] * vX_[654] + vX_[7811] * vX_[651] +
+ vX_[9151] * vX_[653] + vX_[9153] * vX_[596] + vX_[2421] * vX_[387] + vX_[9166] * vX_[377] +
+ vX_[7848] * vX_[603] + vX_[9176] * vX_[599] + vX_[2903] * vX_[600] + vX_[5181] * vX_[631] +
+ vX_[1774] * vX_[630] + vX_[4928] * vX_[545] + vX_[7833] * vX_[598] + vX_[9208] * vX_[549] +
+ vX_[5300] * vX_[366] +
+ (vX_[4930] * vX_[595] + vX_[4921] * vX_[333] + vX_[7156] * vX_[382] + vX_[4323] * vX_[357] +
+ vX_[4941] * vX_[371] + vX_[2423] * vX_[356] + vX_[2861] * vX_[365] + vX_[2497] * vX_[353] +
+ vX_[5252] * vX_[370] + vX_[4396] * vX_[381] + vX_[4930] * vX_[591] + vX_[5104] * vX_[540] +
+ vX_[7156] * vX_[386] + vX_[4941] * vX_[537]) *
+ 0.207 +
+ vX_[8616] * x_in[23] + vX_[1380] * x_in[22] + vX_[7831] * x_in[20] + vX_[2106] * x_in[19] +
+ (vX_[8832] * vX_[1400] + vX_[5300] * vX_[354] + vX_[8616] * x_in[19]) * -0.3735 +
+ (vX_[8863] * vX_[1400] + vX_[8616] * x_in[18]) * -0.207 +
+ (vX_[8837] * vX_[1279] + vX_[1380] * x_in[20]) * 0.3735 + vX_[9051] * vX_[2050] + vX_[9027] * vX_[2047] -
+ vX_[2507] * vX_[303] + vX_[1000] * vX_[303] + (0 - vX_[9022]) * 0.3735 + vX_[9022] * vX_[275] * 0.35 +
+ (0 - vX_[9039]) * 0.207 + vX_[1149] * 0.35 + vX_[1149] * vX_[303] * 0.08 + vX_[1149] * vX_[275] * -0.3735 +
+ vX_[1511] * vX_[303] * 0.3735 + (0 - vX_[1526] * vX_[275]) * 0.08 - vX_[1477] * vX_[303] +
+ vX_[1239] * vX_[303] * 0.3735 + vX_[1239] * vX_[275] * 0.08 + vX_[1245] * 0.35 +
+ vX_[1245] * vX_[303] * 0.08 + vX_[1245] * vX_[275] * -0.3735 + vX_[1521] * vX_[275] + vX_[9019] * vX_[303] +
+ vX_[9042] * 0.08 + vX_[9042] * vX_[303] * 0.35 + vX_[9033] * vX_[303] * 0.33 + vX_[2039] * 0.08 +
+ vX_[2039] * vX_[303] * 0.35 + vX_[7853] * vX_[275] * -0.33 + vX_[391] * 0.08 + vX_[391] * vX_[303] * 0.35 +
+ vX_[9017] * vX_[275] * 0.33 + vX_[4505] * vX_[303] * -0.33 + vX_[4503] * vX_[275] * 0.35 +
+ (vX_[4509] * vX_[303] + vX_[4495] * vX_[275]) * 0.33 +
+ (vX_[7426] * vX_[275] + vX_[4512] * vX_[303]) * -0.33 + vX_[1556] * 0.08 + vX_[1556] * vX_[303] * 0.35 +
+ vX_[4522] * vX_[303] * 0.33 + vX_[4520] * vX_[275] * -0.33) *
+ vX_[455];
+ vX_[15] = vX_[1902] * vX_[354] + vX_[3731] * vX_[273] + vX_[9239] * vX_[369] + vX_[9327] * vX_[355] +
+ vX_[15] * vX_[274] + vX_[1356] * vX_[840];
+ vX_[9327] = 0 - vX_[15];
+ vX_[1820] = 0 - (vX_[1898] * vX_[367] + vX_[1825] * vX_[354] + vX_[416] * vX_[273] + vX_[9110] * vX_[274] +
+ vX_[1820] * vX_[355] + vX_[9074] * vX_[369] + vX_[1349] * vX_[840] + vX_[1362] * vX_[830]);
+ vX_[1896] = vX_[740] + vX_[1896] * vX_[367] + vX_[416] * vX_[354];
+ vX_[9353] = vX_[1896] + vX_[9353] * vX_[274] + vX_[9326] * vX_[369] + vX_[1362] * vX_[840];
+ vX_[9326] = 0 - vX_[9353];
+ vX_[1914] =
+ vX_[9117] + vX_[1914] * vX_[274] + vX_[9073] * vX_[369] * 2. + vX_[1362] * vX_[915] + vX_[1365] * vX_[840];
+ vX_[9073] = 0 - vX_[1914];
+ vX_[9079] = vX_[1233] + vX_[47] * vX_[274] + vX_[9079] * vX_[369] + vX_[1362] * vX_[841] + vX_[1367] * vX_[840];
+ vX_[1233] = 0 - vX_[9079];
+ vX_[47] = (vX_[9326] * vX_[316] + vX_[9073] * vX_[376] + vX_[1233] * vX_[385]) * 1 / vX_[351];
+ vX_[9326] = vX_[1363] * vX_[1466] + vX_[9327] * vX_[364] + vX_[1820] * vX_[352] + vX_[9326] * vX_[379] + vX_[47];
+ vX_[1907] = vX_[9105] + vX_[555] * vX_[355] + vX_[1907] * vX_[274] * 2. + vX_[1356] * vX_[841];
+ vX_[9105] = vX_[1907] * vX_[304] + vX_[9079] * vX_[276];
+ vX_[9117] = vX_[1907] * vX_[276] + vX_[9079] * vX_[303];
+ vX_[1909] = vX_[9240] + vX_[1909] * vX_[274] + vX_[9087] * vX_[355] * 2. + vX_[1356] * vX_[915];
+ vX_[1916] = 0 - (0 - (vX_[1902] * vX_[367] + vX_[9067] * vX_[354]) + vX_[9092] * vX_[369] + vX_[1942] * vX_[274] +
+ vX_[1916] * vX_[355] + vX_[1356] * vX_[830]);
+ vX_[1898] = vX_[740] + vX_[1898] * vX_[354] + vX_[428] * vX_[273];
+ vX_[1823] = 0 - (vX_[1898] + vX_[1823] * vX_[355] + vX_[916] * vX_[369] + vX_[1349] * vX_[830]);
+ vX_[43] = 0 - (vX_[43] + vX_[9337] * vX_[355] + vX_[555] * vX_[369] + vX_[1349] * vX_[915] + vX_[1365] * vX_[830]);
+ vX_[1145] =
+ vX_[4110] + vX_[1145] * vX_[355] + vX_[1776] * vX_[369] * 2. + vX_[1349] * vX_[841] + vX_[1367] * vX_[830];
+ vX_[4110] = 0 - vX_[1145];
+ vX_[1820] =
+ (vX_[1823] * vX_[325] + vX_[1820] * vX_[316] + vX_[43] * vX_[376] + vX_[4110] * vX_[385]) * 1 / vX_[351];
+ vX_[1823] = 0 - vX_[1909] + vX_[1358] * vX_[1466] + vX_[1916] * vX_[364] + vX_[1823] * vX_[352] + vX_[1820];
+ vX_[1349] = 0 - vX_[1907];
+ vX_[555] = vX_[555] + vX_[1365] * vX_[841] + vX_[1367] * vX_[915];
+ vX_[9337] = 0 - vX_[555];
+ vX_[1776] = vX_[1776] + vX_[1367] * vX_[841];
+ vX_[916] = 0 - vX_[1776];
+ vX_[428] = vX_[916] * vX_[385] * 1 / vX_[351];
+ vX_[916] = vX_[1368] * vX_[1466] + vX_[1349] * vX_[364] + vX_[4110] * vX_[352] + vX_[1233] * vX_[379] +
+ vX_[9337] * vX_[538] + vX_[916] * vX_[547] + vX_[428];
+ vX_[4110] = 0 - vX_[1909];
+ vX_[9087] = vX_[9087] + vX_[1365] * vX_[915];
+ vX_[1233] = 0 - vX_[9087];
+ vX_[9337] = (vX_[1233] * vX_[376] + vX_[9337] * vX_[385]) * 1 / vX_[351];
+ vX_[1233] = vX_[1366] * vX_[1466] + vX_[4110] * vX_[364] + vX_[43] * vX_[352] + vX_[9073] * vX_[379] +
+ vX_[1233] * vX_[538] + vX_[9337];
+ vX_[1898] = vX_[1768] + vX_[1753] + vX_[740] - vX_[1898] - vX_[1896] + vX_[9093] * vX_[355] + vX_[1944] * vX_[274];
+ vX_[1896] = vX_[1898] - vX_[9353];
+ vX_[1944] = vX_[1896] * vX_[304] + vX_[15] * vX_[276];
+ vX_[9093] = vX_[1896] * vX_[276] + vX_[15] * vX_[303];
+ vX_[1898] = 0 - vX_[1898];
+ vX_[4110] = (vX_[1898] * vX_[363] + vX_[1916] * vX_[325] + vX_[9327] * vX_[316] + vX_[4110] * vX_[376] +
+ vX_[1349] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[1898] = vX_[1357] * vX_[1466] + vX_[1898] * vX_[364] + vX_[4110];
+ vX_[1349] = vX_[9326] * vX_[276] + vX_[1898] * vX_[304];
+ vX_[1916] = vX_[9326] * vX_[303] + vX_[1898] * vX_[276];
+ vX_[1145] = vX_[1914] - vX_[1145];
+ vX_[4110] = 0 - vX_[1357] * vX_[3742] - vX_[1358] * vX_[1778] - vX_[1363] * vX_[1404] - vX_[1364] * vX_[1304] +
+ vX_[1364] * vX_[1466] - vX_[1366] * vX_[1395] - vX_[1368] * vX_[1237] - vX_[4110] * vX_[364] -
+ vX_[1820] * vX_[352] - vX_[47] * vX_[379] - vX_[9337] * vX_[538] - vX_[428] * vX_[547];
+ vX_[9337] = 0 - vX_[1776] + vX_[4110];
+ vX_[428] = vX_[9337] * vX_[304] + vX_[916] * vX_[276];
+ vX_[1820] = vX_[9337] * vX_[276] + vX_[916] * vX_[303];
+ vX_[47] = vX_[428] * vX_[276] + vX_[1820] * vX_[304];
+ vX_[1368] = vX_[1776] + vX_[428] * vX_[304];
+ vX_[1366] = vX_[1776] + vX_[1820] * vX_[276];
+ vX_[4110] = vX_[9087] + vX_[1776] + vX_[4110] - vX_[1368] - vX_[1366];
+ vX_[9087] = 0 - vX_[4110];
+ vX_[1776] = vX_[1909] * vX_[304] + vX_[1914] * vX_[276];
+ vX_[1364] = vX_[1776] + vX_[9087] * vX_[317];
+ vX_[1363] = 0 - vX_[1364];
+ vX_[1776] = 0 - (vX_[1145] * vX_[276] + vX_[1823] * vX_[303]) + vX_[1776];
+ vX_[1358] = vX_[1909] * vX_[276] + vX_[1914] * vX_[303];
+ vX_[1357] = vX_[1358] + vX_[4110] * vX_[321];
+ vX_[9327] = 0 - vX_[1357];
+ vX_[43] = 0 - (vX_[555] * vX_[276] + vX_[1233] * vX_[303]) + vX_[555] * vX_[276] * 2.;
+ vX_[9073] = 0 - vX_[43];
+ vX_[9067] = vX_[555] * vX_[304] + vX_[1233] * vX_[276] + vX_[555] * vX_[303] * 2.;
+ vX_[1902] = 0 - vX_[9067];
+ vX_[1577] = vX_[1577] * vX_[2057];
+ vX_[1576] = vX_[1576] * vX_[2057] + vX_[1436] * vX_[1596];
+ vX_[1436] = 0 - vX_[1576];
+ vX_[1438] = vX_[1438] * vX_[1596];
+ vX_[1942] = 0 - vX_[1604];
+ vX_[9092] = vX_[1942] * x_in[19] + vX_[1880] * x_in[20];
+ vX_[9240] = vX_[1874] * x_in[29];
+ vX_[416] = 0 - vX_[9240];
+ vX_[1825] = vX_[1874] * x_in[28];
+ vX_[9110] = 0 - vX_[1825];
+ vX_[1648] = vX_[1432] * vX_[2045] + vX_[1648] * vX_[2050];
+ vX_[1649] = vX_[1649] * vX_[1562];
+ vX_[1432] = sin(x_in[10]);
+ vX_[9074] = 0 - vX_[1366];
+ vX_[1358] = vX_[1145] * vX_[304] + vX_[1823] * vX_[276] + vX_[1358];
+ vX_[9239] = 0 - vX_[47];
+ vX_[3731] = 0 - vX_[1366];
+ vX_[9054] = 0 - vX_[1577] - vX_[1438];
+ vX_[4482] = 0 - vX_[1648];
+ vX_[4323] = 0 - vX_[9092] - vX_[1649];
+ vX_[4319] = cos(x_in[10]);
+ jac[378] =
+ 0 -
+ (vX_[1362] * vX_[1240] + vX_[1367] * vX_[923] + vX_[15] * vX_[359] + vX_[9326] * vX_[309] +
+ vX_[1914] * vX_[372] + vX_[9079] * vX_[384] + vX_[9105] * vX_[313] + vX_[9117] * vX_[302] +
+ vX_[1823] * vX_[320] + vX_[916] * vX_[347] + vX_[555] * vX_[592] + vX_[1233] * vX_[375] +
+ vX_[471] * vX_[1126] + vX_[9096] * vX_[1130] - (vX_[1356] * vX_[1550] + vX_[1761] * vX_[1767]) +
+ (vX_[1365] * vX_[1550] + vX_[1761] * vX_[1274]) * 0.08 -
+ (vX_[1369] * vX_[1155] + vX_[1896] * vX_[361] + vX_[1944] * vX_[360] + vX_[9093] * vX_[330] +
+ vX_[1909] * vX_[319] + vX_[1907] * vX_[383] + vX_[1898] * vX_[315] + vX_[1349] * vX_[314] +
+ vX_[1916] * vX_[308] + vX_[1145] * vX_[323] + vX_[9337] * vX_[349] + vX_[555] * vX_[373] +
+ vX_[428] * vX_[299] + vX_[1820] * vX_[346] +
+ (vX_[47] * vX_[322] + vX_[9087] * vX_[332] + vX_[1368] * vX_[318] + vX_[1363] * vX_[328] +
+ (vX_[1776] + vX_[1368] * vX_[317]) * 4.027 + vX_[9327] * vX_[330] + vX_[9073] * vX_[314] +
+ vX_[1902] * vX_[313] + vX_[47] * vX_[297] + vX_[1368] * vX_[348]) *
+ 0.08 +
+ vX_[9375] * vX_[1026]) +
+ vX_[1819] * vX_[1391] + vX_[1817] * vX_[354] - vX_[1577] * vX_[279] + vX_[1579] * 0.35 +
+ vX_[1816] * vX_[1636] + vX_[1804] * vX_[1634] + vX_[1401] * vX_[1410] + vX_[9101] * vX_[1408] +
+ vX_[9346] * vX_[1582] + vX_[1801] * vX_[1599] + vX_[1436] * vX_[277] + vX_[1800] * vX_[1645] +
+ vX_[1798] * vX_[1641] + vX_[2089] * vX_[1420] + vX_[9365] * vX_[1416] + vX_[590] * vX_[1588] +
+ vX_[9122] * vX_[273] + vX_[1786] * vX_[354] - vX_[1438] * vX_[279] + vX_[1443] * vX_[1448] +
+ vX_[483] * vX_[1446] + vX_[1592] * vX_[1595] + vX_[1442] * vX_[1593] + vX_[1868] * vX_[1497] +
+ vX_[1842] * vX_[1495] + vX_[1759] * vX_[1516] + vX_[9092] * vX_[1473] * -0.33 + vX_[2077] * vX_[1531] +
+ vX_[9095] * vX_[1523] + vX_[1751] * vX_[1529] + vX_[1728] * vX_[1474] + vX_[1738] * vX_[1484] +
+ vX_[1703] * vX_[1471] + vX_[9376] * vX_[1482] + vX_[9362] * vX_[1478] + vX_[416] * vX_[277] * 0.33 +
+ (0 - vX_[1825]) * 0.35 + vX_[9110] * vX_[277] * 0.33 + vX_[2060] * vX_[1568] + vX_[1836] * vX_[1566] +
+ vX_[1701] * vX_[1559] + vX_[457] * vX_[1512] + (vX_[1648] * vX_[279] + vX_[1649] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[1362] * vX_[1550] + vX_[1761] * vX_[1126]) - (vX_[1356] * vX_[1240] + vX_[471] * vX_[1767]) +
+ (vX_[1365] * vX_[1240] + vX_[4110] * vX_[331] + vX_[9074] * vX_[322] + vX_[1364] * vX_[330] +
+ vX_[1357] * vX_[329] + (0 - (vX_[1358] + vX_[47] * vX_[317] + vX_[9074] * vX_[321])) * 4.027 +
+ vX_[43] * vX_[308] + vX_[9067] * vX_[302] + vX_[9239] * vX_[310] + vX_[3731] * vX_[342] +
+ vX_[471] * vX_[1274]) *
+ 0.08 -
+ (vX_[1369] * vX_[923] + vX_[1367] * vX_[1155] + vX_[1896] * vX_[359] + vX_[15] * vX_[361] +
+ vX_[1944] * vX_[330] + vX_[9093] * vX_[358] + vX_[1909] * vX_[372] + vX_[9326] * vX_[315] +
+ vX_[1907] * vX_[384] + vX_[1914] * vX_[319] + vX_[1898] * vX_[309] + vX_[9079] * vX_[383] +
+ vX_[1349] * vX_[313] + vX_[1916] * vX_[302] + vX_[9105] * vX_[314] + vX_[9117] * vX_[308] +
+ vX_[1145] * vX_[320] + vX_[1823] * vX_[323] + vX_[9337] * vX_[347] + vX_[916] * vX_[349] +
+ vX_[555] * vX_[374] + vX_[555] * vX_[375] + vX_[1233] * vX_[373] + vX_[428] * vX_[346] +
+ vX_[1820] * vX_[343] + vX_[9375] * vX_[1130] + vX_[9096] * vX_[1026]) +
+ vX_[9109] * vX_[273] + vX_[14] * vX_[1630] + vX_[1402] * vX_[1403] + vX_[1816] * vX_[1637] +
+ vX_[1806] * vX_[1633] + vX_[1401] * vX_[1411] + vX_[9370] * vX_[1407] + vX_[8861] * vX_[1584] +
+ vX_[1576] * vX_[279] + vX_[1800] * vX_[1644] + vX_[1798] * vX_[1642] + vX_[2089] * vX_[1419] +
+ vX_[9365] * vX_[1417] + vX_[743] * vX_[1584] + vX_[9121] * vX_[273] + vX_[1790] * vX_[354] +
+ vX_[9054] * vX_[277] + vX_[1389] * vX_[1444] + (0 - vX_[1648]) * 0.35 + vX_[4482] * vX_[277] * 0.33 +
+ vX_[1838] * vX_[1493] + vX_[1757] * vX_[1514] + (0 - vX_[9092]) * 0.35 + vX_[1414] * vX_[1533] +
+ vX_[9094] * vX_[1525] + vX_[9102] * vX_[1478] + vX_[1709] * vX_[1471] + vX_[1741] * vX_[1486] +
+ vX_[1731] * vX_[1476] + vX_[1719] * vX_[1474] + vX_[9367] * vX_[1480] + vX_[9240] * vX_[1473] * 0.33 +
+ vX_[1825] * vX_[1473] * 0.33 + vX_[1833] * vX_[1564] + vX_[456] * vX_[1557] + (0 - vX_[1649]) * 0.35 +
+ vX_[4323] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[29] = vX_[8429] * vX_[354] + vX_[1954] * vX_[273] + vX_[459] * vX_[369] + vX_[9216] * vX_[355] +
+ vX_[29] * vX_[274] + vX_[2276] * vX_[840];
+ vX_[9216] = 0 - vX_[29];
+ vX_[9306] = 0 - (vX_[8720] * vX_[367] + vX_[9313] * vX_[354] + vX_[1955] * vX_[273] + vX_[9076] * vX_[274] +
+ vX_[9306] * vX_[355] + vX_[22] * vX_[369] + vX_[2252] * vX_[840] + vX_[2285] * vX_[830]);
+ vX_[9178] = vX_[2121] + vX_[9178] * vX_[367] + vX_[1955] * vX_[354];
+ vX_[429] = vX_[9178] + vX_[429] * vX_[274] + vX_[8663] * vX_[369] + vX_[2285] * vX_[840];
+ vX_[8663] = 0 - vX_[429];
+ vX_[9251] =
+ vX_[9179] + vX_[9251] * vX_[274] + vX_[9196] * vX_[369] * 2. + vX_[2285] * vX_[915] + vX_[2288] * vX_[840];
+ vX_[9196] = 0 - vX_[9251];
+ vX_[9218] = vX_[1612] + vX_[1148] * vX_[274] + vX_[9218] * vX_[369] + vX_[2285] * vX_[841] + vX_[2290] * vX_[840];
+ vX_[1612] = 0 - vX_[9218];
+ vX_[1148] = (vX_[8663] * vX_[316] + vX_[9196] * vX_[376] + vX_[1612] * vX_[385]) * 1 / vX_[351];
+ vX_[8663] = vX_[2286] * vX_[1466] + vX_[9216] * vX_[364] + vX_[9306] * vX_[352] + vX_[8663] * vX_[379] + vX_[1148];
+ vX_[1771] = vX_[419] + vX_[1704] * vX_[355] + vX_[1771] * vX_[274] * 2. + vX_[2276] * vX_[841];
+ vX_[419] = vX_[1771] * vX_[304] + vX_[9218] * vX_[276];
+ vX_[9179] = vX_[1771] * vX_[276] + vX_[9218] * vX_[303];
+ vX_[9141] = vX_[9075] + vX_[9141] * vX_[274] + vX_[1947] * vX_[355] * 2. + vX_[2276] * vX_[915];
+ vX_[9217] = 0 - (0 - (vX_[8429] * vX_[367] + vX_[1951] * vX_[354]) + vX_[482] * vX_[369] + vX_[9282] * vX_[274] +
+ vX_[9217] * vX_[355] + vX_[2276] * vX_[830]);
+ vX_[8720] = vX_[2121] + vX_[8720] * vX_[354] + vX_[1782] * vX_[273];
+ vX_[9309] = 0 - (vX_[8720] + vX_[9309] * vX_[355] + vX_[8430] * vX_[369] + vX_[2252] * vX_[830]);
+ vX_[9211] =
+ 0 - (vX_[9211] + vX_[9242] * vX_[355] + vX_[1704] * vX_[369] + vX_[2252] * vX_[915] + vX_[2288] * vX_[830]);
+ vX_[8249] =
+ vX_[994] + vX_[8249] * vX_[355] + vX_[9078] * vX_[369] * 2. + vX_[2252] * vX_[841] + vX_[2290] * vX_[830];
+ vX_[994] = 0 - vX_[8249];
+ vX_[9306] =
+ (vX_[9309] * vX_[325] + vX_[9306] * vX_[316] + vX_[9211] * vX_[376] + vX_[994] * vX_[385]) * 1 / vX_[351];
+ vX_[9309] = 0 - vX_[9141] + vX_[2284] * vX_[1466] + vX_[9217] * vX_[364] + vX_[9309] * vX_[352] + vX_[9306];
+ vX_[2252] = 0 - vX_[1771];
+ vX_[1704] = vX_[1704] + vX_[2288] * vX_[841] + vX_[2290] * vX_[915];
+ vX_[9242] = 0 - vX_[1704];
+ vX_[9078] = vX_[9078] + vX_[2290] * vX_[841];
+ vX_[8430] = 0 - vX_[9078];
+ vX_[1782] = vX_[8430] * vX_[385] * 1 / vX_[351];
+ vX_[8430] = vX_[2291] * vX_[1466] + vX_[2252] * vX_[364] + vX_[994] * vX_[352] + vX_[1612] * vX_[379] +
+ vX_[9242] * vX_[538] + vX_[8430] * vX_[547] + vX_[1782];
+ vX_[994] = 0 - vX_[9141];
+ vX_[1947] = vX_[1947] + vX_[2288] * vX_[915];
+ vX_[1612] = 0 - vX_[1947];
+ vX_[9242] = (vX_[1612] * vX_[376] + vX_[9242] * vX_[385]) * 1 / vX_[351];
+ vX_[1612] = vX_[2289] * vX_[1466] + vX_[994] * vX_[364] + vX_[9211] * vX_[352] + vX_[9196] * vX_[379] +
+ vX_[1612] * vX_[538] + vX_[9242];
+ vX_[8720] = vX_[3668] + vX_[708] + vX_[2121] - vX_[8720] - vX_[9178] + vX_[463] * vX_[355] + vX_[8432] * vX_[274];
+ vX_[9178] = vX_[8720] - vX_[429];
+ vX_[8432] = vX_[9178] * vX_[304] + vX_[29] * vX_[276];
+ vX_[463] = vX_[9178] * vX_[276] + vX_[29] * vX_[303];
+ vX_[8720] = 0 - vX_[8720];
+ vX_[994] = (vX_[8720] * vX_[363] + vX_[9217] * vX_[325] + vX_[9216] * vX_[316] + vX_[994] * vX_[376] +
+ vX_[2252] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[8720] = vX_[2280] * vX_[1466] + vX_[8720] * vX_[364] + vX_[994];
+ vX_[2252] = vX_[8663] * vX_[276] + vX_[8720] * vX_[304];
+ vX_[9217] = vX_[8663] * vX_[303] + vX_[8720] * vX_[276];
+ vX_[8249] = vX_[9251] - vX_[8249];
+ vX_[994] = 0 - vX_[2280] * vX_[3742] - vX_[2284] * vX_[1778] - vX_[2286] * vX_[1404] - vX_[2287] * vX_[1304] +
+ vX_[2287] * vX_[1466] - vX_[2289] * vX_[1395] - vX_[2291] * vX_[1237] - vX_[994] * vX_[364] -
+ vX_[9306] * vX_[352] - vX_[1148] * vX_[379] - vX_[9242] * vX_[538] - vX_[1782] * vX_[547];
+ vX_[9242] = 0 - vX_[9078] + vX_[994];
+ vX_[1782] = vX_[9242] * vX_[304] + vX_[8430] * vX_[276];
+ vX_[9306] = vX_[9242] * vX_[276] + vX_[8430] * vX_[303];
+ vX_[1148] = vX_[1782] * vX_[276] + vX_[9306] * vX_[304];
+ vX_[2291] = vX_[9078] + vX_[1782] * vX_[304];
+ vX_[2289] = vX_[9078] + vX_[9306] * vX_[276];
+ vX_[994] = vX_[1947] + vX_[9078] + vX_[994] - vX_[2291] - vX_[2289];
+ vX_[1947] = 0 - vX_[994];
+ vX_[9078] = vX_[9141] * vX_[304] + vX_[9251] * vX_[276];
+ vX_[2287] = vX_[9078] + vX_[1947] * vX_[317];
+ vX_[2286] = 0 - vX_[2287];
+ vX_[9078] = 0 - (vX_[8249] * vX_[276] + vX_[9309] * vX_[303]) + vX_[9078];
+ vX_[2284] = vX_[9141] * vX_[276] + vX_[9251] * vX_[303];
+ vX_[2280] = vX_[2284] + vX_[994] * vX_[321];
+ vX_[9216] = 0 - vX_[2280];
+ vX_[9211] = 0 - (vX_[1704] * vX_[276] + vX_[1612] * vX_[303]) + vX_[1704] * vX_[276] * 2.;
+ vX_[9196] = 0 - vX_[9211];
+ vX_[1951] = vX_[1704] * vX_[304] + vX_[1612] * vX_[276] + vX_[1704] * vX_[303] * 2.;
+ vX_[8429] = 0 - vX_[1951];
+ vX_[2327] = vX_[2327] * vX_[2057];
+ vX_[2326] = vX_[2326] * vX_[2057] + vX_[2320] * vX_[1596];
+ vX_[2320] = 0 - vX_[2326];
+ vX_[2321] = vX_[2321] * vX_[1596];
+ vX_[9282] = 0 - vX_[2336];
+ vX_[482] = vX_[9282] * x_in[19] + vX_[9249] * x_in[20];
+ vX_[9075] = vX_[8658] * x_in[29];
+ vX_[1955] = 0 - vX_[9075];
+ vX_[9313] = vX_[8658] * x_in[28];
+ vX_[9076] = 0 - vX_[9313];
+ vX_[2346] = vX_[2319] * vX_[2045] + vX_[2346] * vX_[2050];
+ vX_[2347] = vX_[2347] * vX_[1562];
+ vX_[2319] = 0 - vX_[2289];
+ vX_[2284] = vX_[8249] * vX_[304] + vX_[9309] * vX_[276] + vX_[2284];
+ vX_[22] = 0 - vX_[1148];
+ vX_[459] = 0 - vX_[2289];
+ vX_[1954] = 0 - vX_[2327] - vX_[2321];
+ vX_[9074] = 0 - vX_[2346];
+ vX_[9087] = 0 - vX_[482] - vX_[2347];
+ jac[379] =
+ 0 -
+ (vX_[2285] * vX_[1240] + vX_[2290] * vX_[923] + vX_[29] * vX_[359] + vX_[8663] * vX_[309] +
+ vX_[9251] * vX_[372] + vX_[9218] * vX_[384] + vX_[419] * vX_[313] + vX_[9179] * vX_[302] +
+ vX_[9309] * vX_[320] + vX_[8430] * vX_[347] + vX_[1704] * vX_[592] + vX_[1612] * vX_[375] +
+ vX_[424] * vX_[1126] + vX_[445] * vX_[1130] - (vX_[2276] * vX_[1550] + vX_[414] * vX_[1767]) +
+ (vX_[2288] * vX_[1550] + vX_[414] * vX_[1274]) * 0.08 -
+ (vX_[2292] * vX_[1155] + vX_[9178] * vX_[361] + vX_[8432] * vX_[360] + vX_[463] * vX_[330] +
+ vX_[9141] * vX_[319] + vX_[1771] * vX_[383] + vX_[8720] * vX_[315] + vX_[2252] * vX_[314] +
+ vX_[9217] * vX_[308] + vX_[8249] * vX_[323] + vX_[9242] * vX_[349] + vX_[1704] * vX_[373] +
+ vX_[1782] * vX_[299] + vX_[9306] * vX_[346] +
+ (vX_[1148] * vX_[322] + vX_[1947] * vX_[332] + vX_[2291] * vX_[318] + vX_[2286] * vX_[328] +
+ (vX_[9078] + vX_[2291] * vX_[317]) * 4.027 + vX_[9216] * vX_[330] + vX_[9196] * vX_[314] +
+ vX_[8429] * vX_[313] + vX_[1148] * vX_[297] + vX_[2291] * vX_[348]) *
+ 0.08 +
+ vX_[408] * vX_[1026]) +
+ vX_[9304] * vX_[1391] + vX_[9301] * vX_[354] - vX_[2327] * vX_[279] + vX_[2328] * 0.35 +
+ vX_[9297] * vX_[1636] + vX_[8707] * vX_[1634] + vX_[2310] * vX_[1410] + vX_[413] * vX_[1408] +
+ vX_[2081] * vX_[1582] + vX_[9296] * vX_[1599] + vX_[2320] * vX_[277] + vX_[9294] * vX_[1645] +
+ vX_[8718] * vX_[1641] + vX_[412] * vX_[1420] + vX_[404] * vX_[1416] + vX_[8856] * vX_[1588] +
+ vX_[454] * vX_[273] + vX_[8680] * vX_[354] - vX_[2321] * vX_[279] + vX_[2323] * vX_[1448] +
+ vX_[689] * vX_[1446] + vX_[2331] * vX_[1595] + vX_[2322] * vX_[1593] + vX_[8694] * vX_[1497] +
+ vX_[8699] * vX_[1495] + vX_[8791] * vX_[1516] + vX_[482] * vX_[1473] * -0.33 + vX_[409] * vX_[1531] +
+ vX_[446] * vX_[1523] + vX_[9223] * vX_[1529] + vX_[9255] * vX_[1474] + vX_[9273] * vX_[1484] +
+ vX_[8703] * vX_[1471] + vX_[410] * vX_[1482] + vX_[403] * vX_[1478] + vX_[1955] * vX_[277] * 0.33 +
+ (0 - vX_[9313]) * 0.35 + vX_[9076] * vX_[277] * 0.33 + vX_[2473] * vX_[1568] + vX_[9316] * vX_[1566] +
+ vX_[8688] * vX_[1559] + vX_[8690] * vX_[1512] + (vX_[2346] * vX_[279] + vX_[2347] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[2285] * vX_[1550] + vX_[414] * vX_[1126]) - (vX_[2276] * vX_[1240] + vX_[424] * vX_[1767]) +
+ (vX_[2288] * vX_[1240] + vX_[994] * vX_[331] + vX_[2319] * vX_[322] + vX_[2287] * vX_[330] +
+ vX_[2280] * vX_[329] + (0 - (vX_[2284] + vX_[1148] * vX_[317] + vX_[2319] * vX_[321])) * 4.027 +
+ vX_[9211] * vX_[308] + vX_[1951] * vX_[302] + vX_[22] * vX_[310] + vX_[459] * vX_[342] +
+ vX_[424] * vX_[1274]) *
+ 0.08 -
+ (vX_[2292] * vX_[923] + vX_[2290] * vX_[1155] + vX_[9178] * vX_[359] + vX_[29] * vX_[361] +
+ vX_[8432] * vX_[330] + vX_[463] * vX_[358] + vX_[9141] * vX_[372] + vX_[8663] * vX_[315] +
+ vX_[1771] * vX_[384] + vX_[9251] * vX_[319] + vX_[8720] * vX_[309] + vX_[9218] * vX_[383] +
+ vX_[2252] * vX_[313] + vX_[9217] * vX_[302] + vX_[419] * vX_[314] + vX_[9179] * vX_[308] +
+ vX_[8249] * vX_[320] + vX_[9309] * vX_[323] + vX_[9242] * vX_[347] + vX_[8430] * vX_[349] +
+ vX_[1704] * vX_[374] + vX_[1704] * vX_[375] + vX_[1612] * vX_[373] + vX_[1782] * vX_[346] +
+ vX_[9306] * vX_[343] + vX_[408] * vX_[1130] + vX_[445] * vX_[1026]) +
+ vX_[399] * vX_[273] + vX_[1625] * vX_[1630] + vX_[2311] * vX_[1403] + vX_[9297] * vX_[1637] +
+ vX_[8704] * vX_[1633] + vX_[2310] * vX_[1411] + vX_[401] * vX_[1407] + vX_[9221] * vX_[1584] +
+ vX_[2326] * vX_[279] + vX_[9294] * vX_[1644] + vX_[8718] * vX_[1642] + vX_[412] * vX_[1419] +
+ vX_[404] * vX_[1417] + vX_[433] * vX_[1584] + vX_[422] * vX_[273] + vX_[9285] * vX_[354] +
+ vX_[1954] * vX_[277] + vX_[2306] * vX_[1444] + (0 - vX_[2346]) * 0.35 + vX_[9074] * vX_[277] * 0.33 +
+ vX_[8700] * vX_[1493] + vX_[9262] * vX_[1514] + (0 - vX_[482]) * 0.35 + vX_[2314] * vX_[1533] +
+ vX_[423] * vX_[1525] + vX_[411] * vX_[1478] + vX_[9222] * vX_[1471] + vX_[9275] * vX_[1486] +
+ vX_[8708] * vX_[1476] + vX_[8668] * vX_[1474] + vX_[405] * vX_[1480] + vX_[9075] * vX_[1473] * 0.33 +
+ vX_[9313] * vX_[1473] * 0.33 + vX_[9315] * vX_[1564] + vX_[8702] * vX_[1557] + (0 - vX_[2347]) * 0.35 +
+ vX_[9087] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[9159] = vX_[9133] * vX_[354] + vX_[8660] * vX_[273] + vX_[2053] * vX_[369] + vX_[8265] * vX_[355] +
+ vX_[9159] * vX_[274] + vX_[2676] * vX_[840];
+ vX_[8265] = 0 - vX_[9159];
+ vX_[1462] = 0 - (vX_[891] * vX_[367] + vX_[8285] * vX_[354] + vX_[1620] * vX_[273] + vX_[9140] * vX_[274] +
+ vX_[1462] * vX_[355] + vX_[9155] * vX_[369] + vX_[2652] * vX_[840] + vX_[2685] * vX_[830]);
+ vX_[7836] = vX_[2520] + vX_[7836] * vX_[367] + vX_[1620] * vX_[354];
+ vX_[2857] = vX_[7836] + vX_[2857] * vX_[274] + vX_[8264] * vX_[369] + vX_[2685] * vX_[840];
+ vX_[8264] = 0 - vX_[2857];
+ vX_[948] =
+ vX_[1468] + vX_[948] * vX_[274] + vX_[8278] * vX_[369] * 2. + vX_[2685] * vX_[915] + vX_[2688] * vX_[840];
+ vX_[8278] = 0 - vX_[948];
+ vX_[8275] = vX_[9162] + vX_[9174] * vX_[274] + vX_[8275] * vX_[369] + vX_[2685] * vX_[841] + vX_[2690] * vX_[840];
+ vX_[9162] = 0 - vX_[8275];
+ vX_[9174] = (vX_[8264] * vX_[316] + vX_[8278] * vX_[376] + vX_[9162] * vX_[385]) * 1 / vX_[351];
+ vX_[8264] = vX_[2686] * vX_[1466] + vX_[8265] * vX_[364] + vX_[1462] * vX_[352] + vX_[8264] * vX_[379] + vX_[9174];
+ vX_[7868] = vX_[2681] + vX_[8232] * vX_[355] + vX_[7868] * vX_[274] * 2. + vX_[2676] * vX_[841];
+ vX_[2681] = vX_[7868] * vX_[304] + vX_[8275] * vX_[276];
+ vX_[1468] = vX_[7868] * vX_[276] + vX_[8275] * vX_[303];
+ vX_[914] = vX_[1143] + vX_[914] * vX_[274] + vX_[26] * vX_[355] * 2. + vX_[2676] * vX_[915];
+ vX_[8362] = 0 - (0 - (vX_[9133] * vX_[367] + vX_[9212] * vX_[354]) + vX_[8291] * vX_[369] + vX_[9137] * vX_[274] +
+ vX_[8362] * vX_[355] + vX_[2676] * vX_[830]);
+ vX_[891] = vX_[2520] + vX_[891] * vX_[354] + vX_[9080] * vX_[273];
+ vX_[1769] = 0 - (vX_[891] + vX_[1769] * vX_[355] + vX_[9171] * vX_[369] + vX_[2652] * vX_[830]);
+ vX_[9167] =
+ 0 - (vX_[9167] + vX_[8229] * vX_[355] + vX_[8232] * vX_[369] + vX_[2652] * vX_[915] + vX_[2688] * vX_[830]);
+ vX_[9164] =
+ vX_[8271] + vX_[9164] * vX_[355] + vX_[1308] * vX_[369] * 2. + vX_[2652] * vX_[841] + vX_[2690] * vX_[830];
+ vX_[8271] = 0 - vX_[9164];
+ vX_[1462] =
+ (vX_[1769] * vX_[325] + vX_[1462] * vX_[316] + vX_[9167] * vX_[376] + vX_[8271] * vX_[385]) * 1 / vX_[351];
+ vX_[1769] = 0 - vX_[914] + vX_[2684] * vX_[1466] + vX_[8362] * vX_[364] + vX_[1769] * vX_[352] + vX_[1462];
+ vX_[2652] = 0 - vX_[7868];
+ vX_[8232] = vX_[8232] + vX_[2688] * vX_[841] + vX_[2690] * vX_[915];
+ vX_[8229] = 0 - vX_[8232];
+ vX_[1308] = vX_[1308] + vX_[2690] * vX_[841];
+ vX_[9171] = 0 - vX_[1308];
+ vX_[9080] = vX_[9171] * vX_[385] * 1 / vX_[351];
+ vX_[9171] = vX_[2691] * vX_[1466] + vX_[2652] * vX_[364] + vX_[8271] * vX_[352] + vX_[9162] * vX_[379] +
+ vX_[8229] * vX_[538] + vX_[9171] * vX_[547] + vX_[9080];
+ vX_[8271] = 0 - vX_[914];
+ vX_[26] = vX_[26] + vX_[2688] * vX_[915];
+ vX_[9162] = 0 - vX_[26];
+ vX_[8229] = (vX_[9162] * vX_[376] + vX_[8229] * vX_[385]) * 1 / vX_[351];
+ vX_[9162] = vX_[2689] * vX_[1466] + vX_[8271] * vX_[364] + vX_[9167] * vX_[352] + vX_[8278] * vX_[379] +
+ vX_[9162] * vX_[538] + vX_[8229];
+ vX_[891] = vX_[926] + vX_[1846] + vX_[2520] - vX_[891] - vX_[7836] + vX_[1463] * vX_[355] + vX_[8251] * vX_[274];
+ vX_[7836] = vX_[891] - vX_[2857];
+ vX_[8251] = vX_[7836] * vX_[304] + vX_[9159] * vX_[276];
+ vX_[1463] = vX_[7836] * vX_[276] + vX_[9159] * vX_[303];
+ vX_[891] = 0 - vX_[891];
+ vX_[8271] = (vX_[891] * vX_[363] + vX_[8362] * vX_[325] + vX_[8265] * vX_[316] + vX_[8271] * vX_[376] +
+ vX_[2652] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[891] = vX_[2680] * vX_[1466] + vX_[891] * vX_[364] + vX_[8271];
+ vX_[2652] = vX_[8264] * vX_[276] + vX_[891] * vX_[304];
+ vX_[8362] = vX_[8264] * vX_[303] + vX_[891] * vX_[276];
+ vX_[9164] = vX_[948] - vX_[9164];
+ vX_[8271] = 0 - vX_[2680] * vX_[3742] - vX_[2684] * vX_[1778] - vX_[2686] * vX_[1404] - vX_[2687] * vX_[1304] +
+ vX_[2687] * vX_[1466] - vX_[2689] * vX_[1395] - vX_[2691] * vX_[1237] - vX_[8271] * vX_[364] -
+ vX_[1462] * vX_[352] - vX_[9174] * vX_[379] - vX_[8229] * vX_[538] - vX_[9080] * vX_[547];
+ vX_[8229] = 0 - vX_[1308] + vX_[8271];
+ vX_[9080] = vX_[8229] * vX_[304] + vX_[9171] * vX_[276];
+ vX_[1462] = vX_[8229] * vX_[276] + vX_[9171] * vX_[303];
+ vX_[9174] = vX_[9080] * vX_[276] + vX_[1462] * vX_[304];
+ vX_[2691] = vX_[1308] + vX_[9080] * vX_[304];
+ vX_[2689] = vX_[1308] + vX_[1462] * vX_[276];
+ vX_[8271] = vX_[26] + vX_[1308] + vX_[8271] - vX_[2691] - vX_[2689];
+ vX_[26] = 0 - vX_[8271];
+ vX_[1308] = vX_[914] * vX_[304] + vX_[948] * vX_[276];
+ vX_[2687] = vX_[1308] + vX_[26] * vX_[317];
+ vX_[2686] = 0 - vX_[2687];
+ vX_[1308] = 0 - (vX_[9164] * vX_[276] + vX_[1769] * vX_[303]) + vX_[1308];
+ vX_[2684] = vX_[914] * vX_[276] + vX_[948] * vX_[303];
+ vX_[2680] = vX_[2684] + vX_[8271] * vX_[321];
+ vX_[8265] = 0 - vX_[2680];
+ vX_[9167] = 0 - (vX_[8232] * vX_[276] + vX_[9162] * vX_[303]) + vX_[8232] * vX_[276] * 2.;
+ vX_[8278] = 0 - vX_[9167];
+ vX_[9212] = vX_[8232] * vX_[304] + vX_[9162] * vX_[276] + vX_[8232] * vX_[303] * 2.;
+ vX_[9133] = 0 - vX_[9212];
+ vX_[2727] = vX_[2727] * vX_[2057];
+ vX_[2726] = vX_[2726] * vX_[2057] + vX_[2720] * vX_[1596];
+ vX_[2720] = 0 - vX_[2726];
+ vX_[2721] = vX_[2721] * vX_[1596];
+ vX_[9137] = 0 - vX_[2736];
+ vX_[8291] = vX_[9137] * x_in[19] + vX_[1518] * x_in[20];
+ vX_[1143] = vX_[8239] * x_in[29];
+ vX_[1620] = 0 - vX_[1143];
+ vX_[8285] = vX_[8239] * x_in[28];
+ vX_[9140] = 0 - vX_[8285];
+ vX_[2746] = vX_[2719] * vX_[2045] + vX_[2746] * vX_[2050];
+ vX_[2747] = vX_[2747] * vX_[1562];
+ vX_[2719] = 0 - vX_[2689];
+ vX_[2684] = vX_[9164] * vX_[304] + vX_[1769] * vX_[276] + vX_[2684];
+ vX_[9155] = 0 - vX_[9174];
+ vX_[2053] = 0 - vX_[2689];
+ vX_[8660] = 0 - vX_[2727] - vX_[2721];
+ vX_[2319] = 0 - vX_[2746];
+ vX_[1947] = 0 - vX_[8291] - vX_[2747];
+ jac[380] =
+ 0 -
+ (vX_[2685] * vX_[1240] + vX_[2690] * vX_[923] + vX_[9159] * vX_[359] + vX_[8264] * vX_[309] +
+ vX_[948] * vX_[372] + vX_[8275] * vX_[384] + vX_[2681] * vX_[313] + vX_[1468] * vX_[302] +
+ vX_[1769] * vX_[320] + vX_[9171] * vX_[347] + vX_[8232] * vX_[592] + vX_[9162] * vX_[375] +
+ vX_[9343] * vX_[1126] + vX_[9236] * vX_[1130] - (vX_[2676] * vX_[1550] + vX_[8672] * vX_[1767]) +
+ (vX_[2688] * vX_[1550] + vX_[8672] * vX_[1274]) * 0.08 -
+ (vX_[2692] * vX_[1155] + vX_[7836] * vX_[361] + vX_[8251] * vX_[360] + vX_[1463] * vX_[330] +
+ vX_[914] * vX_[319] + vX_[7868] * vX_[383] + vX_[891] * vX_[315] + vX_[2652] * vX_[314] +
+ vX_[8362] * vX_[308] + vX_[9164] * vX_[323] + vX_[8229] * vX_[349] + vX_[8232] * vX_[373] +
+ vX_[9080] * vX_[299] + vX_[1462] * vX_[346] +
+ (vX_[9174] * vX_[322] + vX_[26] * vX_[332] + vX_[2691] * vX_[318] + vX_[2686] * vX_[328] +
+ (vX_[1308] + vX_[2691] * vX_[317]) * 4.027 + vX_[8265] * vX_[330] + vX_[8278] * vX_[314] +
+ vX_[9133] * vX_[313] + vX_[9174] * vX_[297] + vX_[2691] * vX_[348]) *
+ 0.08 +
+ vX_[8666] * vX_[1026]) +
+ vX_[829] * vX_[1391] + vX_[834] * vX_[354] - vX_[2727] * vX_[279] + vX_[2728] * 0.35 +
+ vX_[8243] * vX_[1636] + vX_[8242] * vX_[1634] + vX_[2710] * vX_[1410] + vX_[8677] * vX_[1408] +
+ vX_[9351] * vX_[1582] + vX_[8241] * vX_[1599] + vX_[2720] * vX_[277] + vX_[8238] * vX_[1645] +
+ vX_[8237] * vX_[1641] + vX_[8671] * vX_[1420] + vX_[8673] * vX_[1416] + vX_[9090] * vX_[1588] +
+ vX_[8686] * vX_[273] + vX_[8244] * vX_[354] - vX_[2721] * vX_[279] + vX_[2723] * vX_[1448] +
+ vX_[9082] * vX_[1446] + vX_[2731] * vX_[1595] + vX_[2722] * vX_[1593] + vX_[8274] * vX_[1497] +
+ vX_[8261] * vX_[1495] + vX_[4938] * vX_[1516] + vX_[8291] * vX_[1473] * -0.33 + vX_[9224] * vX_[1531] +
+ vX_[8714] * vX_[1523] + vX_[5177] * vX_[1529] + vX_[5401] * vX_[1474] + vX_[7403] * vX_[1484] +
+ vX_[7813] * vX_[1471] + vX_[8667] * vX_[1482] + vX_[8234] * vX_[1478] + vX_[1620] * vX_[277] * 0.33 +
+ (0 - vX_[8285]) * 0.35 + vX_[9140] * vX_[277] * 0.33 + vX_[2873] * vX_[1568] + vX_[8257] * vX_[1566] +
+ vX_[7817] * vX_[1559] + vX_[2901] * vX_[1512] + (vX_[2746] * vX_[279] + vX_[2747] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[2685] * vX_[1550] + vX_[8672] * vX_[1126]) - (vX_[2676] * vX_[1240] + vX_[9343] * vX_[1767]) +
+ (vX_[2688] * vX_[1240] + vX_[8271] * vX_[331] + vX_[2719] * vX_[322] + vX_[2687] * vX_[330] +
+ vX_[2680] * vX_[329] + (0 - (vX_[2684] + vX_[9174] * vX_[317] + vX_[2719] * vX_[321])) * 4.027 +
+ vX_[9167] * vX_[308] + vX_[9212] * vX_[302] + vX_[9155] * vX_[310] + vX_[2053] * vX_[342] +
+ vX_[9343] * vX_[1274]) *
+ 0.08 -
+ (vX_[2692] * vX_[923] + vX_[2690] * vX_[1155] + vX_[7836] * vX_[359] + vX_[9159] * vX_[361] +
+ vX_[8251] * vX_[330] + vX_[1463] * vX_[358] + vX_[914] * vX_[372] + vX_[8264] * vX_[315] +
+ vX_[7868] * vX_[384] + vX_[948] * vX_[319] + vX_[891] * vX_[309] + vX_[8275] * vX_[383] +
+ vX_[2652] * vX_[313] + vX_[8362] * vX_[302] + vX_[2681] * vX_[314] + vX_[1468] * vX_[308] +
+ vX_[9164] * vX_[320] + vX_[1769] * vX_[323] + vX_[8229] * vX_[347] + vX_[9171] * vX_[349] +
+ vX_[8232] * vX_[374] + vX_[8232] * vX_[375] + vX_[9162] * vX_[373] + vX_[9080] * vX_[346] +
+ vX_[1462] * vX_[343] + vX_[8666] * vX_[1130] + vX_[9236] * vX_[1026]) +
+ vX_[2750] * vX_[273] + vX_[2340] * vX_[1630] + vX_[2711] * vX_[1403] + vX_[8243] * vX_[1637] +
+ vX_[8248] * vX_[1633] + vX_[2710] * vX_[1411] + vX_[8675] * vX_[1407] + vX_[9088] * vX_[1584] +
+ vX_[2726] * vX_[279] + vX_[8238] * vX_[1644] + vX_[8237] * vX_[1642] + vX_[8671] * vX_[1419] +
+ vX_[8673] * vX_[1417] + vX_[1876] * vX_[1584] + vX_[9225] * vX_[273] + vX_[8245] * vX_[354] +
+ vX_[8660] * vX_[277] + vX_[2706] * vX_[1444] + (0 - vX_[2746]) * 0.35 + vX_[2319] * vX_[277] * 0.33 +
+ vX_[8273] * vX_[1493] + vX_[5110] * vX_[1514] + (0 - vX_[8291]) * 0.35 + vX_[2714] * vX_[1533] +
+ vX_[9256] * vX_[1525] + vX_[8670] * vX_[1478] + vX_[2459] * vX_[1471] + vX_[2827] * vX_[1486] +
+ vX_[5403] * vX_[1476] + vX_[2865] * vX_[1474] + vX_[8674] * vX_[1480] + vX_[1143] * vX_[1473] * 0.33 +
+ vX_[8285] * vX_[1473] * 0.33 + vX_[8286] * vX_[1564] + vX_[7812] * vX_[1557] + (0 - vX_[2747]) * 0.35 +
+ vX_[1947] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[2604] = vX_[5254] * vX_[354] + vX_[8288] * vX_[273] + vX_[2608] * vX_[369] + vX_[7855] * vX_[355] +
+ vX_[2604] * vX_[274] + vX_[3103] * vX_[840];
+ vX_[7855] = 0 - vX_[2604];
+ vX_[4911] = 0 - (vX_[6976] * vX_[367] + vX_[4530] * vX_[354] + vX_[9173] * vX_[273] + vX_[2098] * vX_[274] +
+ vX_[4911] * vX_[355] + vX_[7824] * vX_[369] + vX_[3079] * vX_[840] + vX_[3112] * vX_[830]);
+ vX_[6613] = vX_[2947] + vX_[6613] * vX_[367] + vX_[9173] * vX_[354];
+ vX_[7441] = vX_[6613] + vX_[7441] * vX_[274] + vX_[7840] * vX_[369] + vX_[3112] * vX_[840];
+ vX_[7840] = 0 - vX_[7441];
+ vX_[6260] =
+ vX_[2440] + vX_[6260] * vX_[274] + vX_[7823] * vX_[369] * 2. + vX_[3112] * vX_[915] + vX_[3115] * vX_[840];
+ vX_[7823] = 0 - vX_[6260];
+ vX_[7829] = vX_[2510] + vX_[7838] * vX_[274] + vX_[7829] * vX_[369] + vX_[3112] * vX_[841] + vX_[3117] * vX_[840];
+ vX_[2510] = 0 - vX_[7829];
+ vX_[7838] = (vX_[7840] * vX_[316] + vX_[7823] * vX_[376] + vX_[2510] * vX_[385]) * 1 / vX_[351];
+ vX_[7840] = vX_[3113] * vX_[1466] + vX_[7855] * vX_[364] + vX_[4911] * vX_[352] + vX_[7840] * vX_[379] + vX_[7838];
+ vX_[6615] = vX_[7837] + vX_[2032] * vX_[355] + vX_[6615] * vX_[274] * 2. + vX_[3103] * vX_[841];
+ vX_[7837] = vX_[6615] * vX_[304] + vX_[7829] * vX_[276];
+ vX_[2440] = vX_[6615] * vX_[276] + vX_[7829] * vX_[303];
+ vX_[6456] = vX_[7943] + vX_[6456] * vX_[274] + vX_[7858] * vX_[355] * 2. + vX_[3103] * vX_[915];
+ vX_[6205] = 0 - (0 - (vX_[5254] * vX_[367] + vX_[9143] * vX_[354]) + vX_[2107] * vX_[369] + vX_[7388] * vX_[274] +
+ vX_[6205] * vX_[355] + vX_[3103] * vX_[830]);
+ vX_[6976] = vX_[2947] + vX_[6976] * vX_[354] + vX_[8231] * vX_[273];
+ vX_[5183] = 0 - (vX_[6976] + vX_[5183] * vX_[355] + vX_[7866] * vX_[369] + vX_[3079] * vX_[830]);
+ vX_[2486] =
+ 0 - (vX_[2486] + vX_[7820] * vX_[355] + vX_[2032] * vX_[369] + vX_[3079] * vX_[915] + vX_[3115] * vX_[830]);
+ vX_[2436] =
+ vX_[7854] + vX_[2436] * vX_[355] + vX_[2055] * vX_[369] * 2. + vX_[3079] * vX_[841] + vX_[3117] * vX_[830];
+ vX_[7854] = 0 - vX_[2436];
+ vX_[4911] =
+ (vX_[5183] * vX_[325] + vX_[4911] * vX_[316] + vX_[2486] * vX_[376] + vX_[7854] * vX_[385]) * 1 / vX_[351];
+ vX_[5183] = 0 - vX_[6456] + vX_[3111] * vX_[1466] + vX_[6205] * vX_[364] + vX_[5183] * vX_[352] + vX_[4911];
+ vX_[3079] = 0 - vX_[6615];
+ vX_[2032] = vX_[2032] + vX_[3115] * vX_[841] + vX_[3117] * vX_[915];
+ vX_[7820] = 0 - vX_[2032];
+ vX_[2055] = vX_[2055] + vX_[3117] * vX_[841];
+ vX_[7866] = 0 - vX_[2055];
+ vX_[8231] = vX_[7866] * vX_[385] * 1 / vX_[351];
+ vX_[7866] = vX_[3118] * vX_[1466] + vX_[3079] * vX_[364] + vX_[7854] * vX_[352] + vX_[2510] * vX_[379] +
+ vX_[7820] * vX_[538] + vX_[7866] * vX_[547] + vX_[8231];
+ vX_[7854] = 0 - vX_[6456];
+ vX_[7858] = vX_[7858] + vX_[3115] * vX_[915];
+ vX_[2510] = 0 - vX_[7858];
+ vX_[7820] = (vX_[2510] * vX_[376] + vX_[7820] * vX_[385]) * 1 / vX_[351];
+ vX_[2510] = vX_[3116] * vX_[1466] + vX_[7854] * vX_[364] + vX_[2486] * vX_[352] + vX_[7823] * vX_[379] +
+ vX_[2510] * vX_[538] + vX_[7820];
+ vX_[6976] = vX_[8325] + vX_[3721] + vX_[2947] - vX_[6976] - vX_[6613] + vX_[2348] * vX_[355] + vX_[7825] * vX_[274];
+ vX_[6613] = vX_[6976] - vX_[7441];
+ vX_[7825] = vX_[6613] * vX_[304] + vX_[2604] * vX_[276];
+ vX_[2348] = vX_[6613] * vX_[276] + vX_[2604] * vX_[303];
+ vX_[6976] = 0 - vX_[6976];
+ vX_[7854] = (vX_[6976] * vX_[363] + vX_[6205] * vX_[325] + vX_[7855] * vX_[316] + vX_[7854] * vX_[376] +
+ vX_[3079] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[6976] = vX_[3107] * vX_[1466] + vX_[6976] * vX_[364] + vX_[7854];
+ vX_[3079] = vX_[7840] * vX_[276] + vX_[6976] * vX_[304];
+ vX_[6205] = vX_[7840] * vX_[303] + vX_[6976] * vX_[276];
+ vX_[2436] = vX_[6260] - vX_[2436];
+ vX_[7854] = 0 - vX_[3107] * vX_[3742] - vX_[3111] * vX_[1778] - vX_[3113] * vX_[1404] - vX_[3114] * vX_[1304] +
+ vX_[3114] * vX_[1466] - vX_[3116] * vX_[1395] - vX_[3118] * vX_[1237] - vX_[7854] * vX_[364] -
+ vX_[4911] * vX_[352] - vX_[7838] * vX_[379] - vX_[7820] * vX_[538] - vX_[8231] * vX_[547];
+ vX_[7820] = 0 - vX_[2055] + vX_[7854];
+ vX_[8231] = vX_[7820] * vX_[304] + vX_[7866] * vX_[276];
+ vX_[4911] = vX_[7820] * vX_[276] + vX_[7866] * vX_[303];
+ vX_[7838] = vX_[8231] * vX_[276] + vX_[4911] * vX_[304];
+ vX_[3118] = vX_[2055] + vX_[8231] * vX_[304];
+ vX_[3116] = vX_[2055] + vX_[4911] * vX_[276];
+ vX_[7854] = vX_[7858] + vX_[2055] + vX_[7854] - vX_[3118] - vX_[3116];
+ vX_[7858] = 0 - vX_[7854];
+ vX_[2055] = vX_[6456] * vX_[304] + vX_[6260] * vX_[276];
+ vX_[3114] = vX_[2055] + vX_[7858] * vX_[317];
+ vX_[3113] = 0 - vX_[3114];
+ vX_[2055] = 0 - (vX_[2436] * vX_[276] + vX_[5183] * vX_[303]) + vX_[2055];
+ vX_[3111] = vX_[6456] * vX_[276] + vX_[6260] * vX_[303];
+ vX_[3107] = vX_[3111] + vX_[7854] * vX_[321];
+ vX_[7855] = 0 - vX_[3107];
+ vX_[2486] = 0 - (vX_[2032] * vX_[276] + vX_[2510] * vX_[303]) + vX_[2032] * vX_[276] * 2.;
+ vX_[7823] = 0 - vX_[2486];
+ vX_[9143] = vX_[2032] * vX_[304] + vX_[2510] * vX_[276] + vX_[2032] * vX_[303] * 2.;
+ vX_[5254] = 0 - vX_[9143];
+ vX_[3154] = vX_[3154] * vX_[2057];
+ vX_[3153] = vX_[3153] * vX_[2057] + vX_[3147] * vX_[1596];
+ vX_[3147] = 0 - vX_[3153];
+ vX_[3148] = vX_[3148] * vX_[1596];
+ vX_[7388] = 0 - vX_[3163];
+ vX_[2107] = vX_[7388] * x_in[19] + vX_[6651] * x_in[20];
+ vX_[7943] = vX_[5357] * x_in[29];
+ vX_[9173] = 0 - vX_[7943];
+ vX_[4530] = vX_[5357] * x_in[28];
+ vX_[2098] = 0 - vX_[4530];
+ vX_[3173] = vX_[3146] * vX_[2045] + vX_[3173] * vX_[2050];
+ vX_[3174] = vX_[3174] * vX_[1562];
+ vX_[3146] = 0 - vX_[3116];
+ vX_[3111] = vX_[2436] * vX_[304] + vX_[5183] * vX_[276] + vX_[3111];
+ vX_[7824] = 0 - vX_[7838];
+ vX_[2608] = 0 - vX_[3116];
+ vX_[8288] = 0 - vX_[3154] - vX_[3148];
+ vX_[2719] = 0 - vX_[3173];
+ vX_[26] = 0 - vX_[2107] - vX_[3174];
+ jac[381] =
+ 0 -
+ (vX_[3112] * vX_[1240] + vX_[3117] * vX_[923] + vX_[2604] * vX_[359] + vX_[7840] * vX_[309] +
+ vX_[6260] * vX_[372] + vX_[7829] * vX_[384] + vX_[7837] * vX_[313] + vX_[2440] * vX_[302] +
+ vX_[5183] * vX_[320] + vX_[7866] * vX_[347] + vX_[2032] * vX_[592] + vX_[2510] * vX_[375] +
+ vX_[458] * vX_[1126] + vX_[2679] * vX_[1130] - (vX_[3103] * vX_[1550] + vX_[5108] * vX_[1767]) +
+ (vX_[3115] * vX_[1550] + vX_[5108] * vX_[1274]) * 0.08 -
+ (vX_[3119] * vX_[1155] + vX_[6613] * vX_[361] + vX_[7825] * vX_[360] + vX_[2348] * vX_[330] +
+ vX_[6456] * vX_[319] + vX_[6615] * vX_[383] + vX_[6976] * vX_[315] + vX_[3079] * vX_[314] +
+ vX_[6205] * vX_[308] + vX_[2436] * vX_[323] + vX_[7820] * vX_[349] + vX_[2032] * vX_[373] +
+ vX_[8231] * vX_[299] + vX_[4911] * vX_[346] +
+ (vX_[7838] * vX_[322] + vX_[7858] * vX_[332] + vX_[3118] * vX_[318] + vX_[3113] * vX_[328] +
+ (vX_[2055] + vX_[3118] * vX_[317]) * 4.027 + vX_[7855] * vX_[330] + vX_[7823] * vX_[314] +
+ vX_[5254] * vX_[313] + vX_[7838] * vX_[297] + vX_[3118] * vX_[348]) *
+ 0.08 +
+ vX_[2447] * vX_[1026]) +
+ vX_[5803] * vX_[1391] + vX_[6623] * vX_[354] - vX_[3154] * vX_[279] + vX_[3155] * 0.35 +
+ vX_[6387] * vX_[1636] + vX_[7445] * vX_[1634] + vX_[3137] * vX_[1410] + vX_[7581] * vX_[1408] +
+ vX_[9204] * vX_[1582] + vX_[5409] * vX_[1599] + vX_[3147] * vX_[277] + vX_[4903] * vX_[1645] +
+ vX_[4871] * vX_[1641] + vX_[7872] * vX_[1420] + vX_[7846] * vX_[1416] + vX_[1963] * vX_[1588] +
+ vX_[2823] * vX_[273] + vX_[7419] * vX_[354] - vX_[3148] * vX_[279] + vX_[3150] * vX_[1448] +
+ vX_[440] * vX_[1446] + vX_[3158] * vX_[1595] + vX_[3149] * vX_[1593] + vX_[7386] * vX_[1497] +
+ vX_[5405] * vX_[1495] + vX_[7424] * vX_[1516] + vX_[2107] * vX_[1473] * -0.33 + vX_[5332] * vX_[1531] +
+ vX_[2074] * vX_[1523] + vX_[4246] * vX_[1529] + vX_[4442] * vX_[1474] + vX_[4467] * vX_[1484] +
+ vX_[4501] * vX_[1471] + vX_[2457] * vX_[1482] + vX_[7845] * vX_[1478] + vX_[9173] * vX_[277] * 0.33 +
+ (0 - vX_[4530]) * 0.35 + vX_[2098] * vX_[277] * 0.33 + vX_[3300] * vX_[1568] + vX_[5250] * vX_[1566] +
+ vX_[7443] * vX_[1559] + vX_[7431] * vX_[1512] + (vX_[3173] * vX_[279] + vX_[3174] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[3112] * vX_[1550] + vX_[5108] * vX_[1126]) - (vX_[3103] * vX_[1240] + vX_[458] * vX_[1767]) +
+ (vX_[3115] * vX_[1240] + vX_[7854] * vX_[331] + vX_[3146] * vX_[322] + vX_[3114] * vX_[330] +
+ vX_[3107] * vX_[329] + (0 - (vX_[3111] + vX_[7838] * vX_[317] + vX_[3146] * vX_[321])) * 4.027 +
+ vX_[2486] * vX_[308] + vX_[9143] * vX_[302] + vX_[7824] * vX_[310] + vX_[2608] * vX_[342] +
+ vX_[458] * vX_[1274]) *
+ 0.08 -
+ (vX_[3119] * vX_[923] + vX_[3117] * vX_[1155] + vX_[6613] * vX_[359] + vX_[2604] * vX_[361] +
+ vX_[7825] * vX_[330] + vX_[2348] * vX_[358] + vX_[6456] * vX_[372] + vX_[7840] * vX_[315] +
+ vX_[6615] * vX_[384] + vX_[6260] * vX_[319] + vX_[6976] * vX_[309] + vX_[7829] * vX_[383] +
+ vX_[3079] * vX_[313] + vX_[6205] * vX_[302] + vX_[7837] * vX_[314] + vX_[2440] * vX_[308] +
+ vX_[2436] * vX_[320] + vX_[5183] * vX_[323] + vX_[7820] * vX_[347] + vX_[7866] * vX_[349] +
+ vX_[2032] * vX_[374] + vX_[2032] * vX_[375] + vX_[2510] * vX_[373] + vX_[8231] * vX_[346] +
+ vX_[4911] * vX_[343] + vX_[2447] * vX_[1130] + vX_[2679] * vX_[1026]) +
+ vX_[1354] * vX_[273] + vX_[2740] * vX_[1630] + vX_[3138] * vX_[1403] + vX_[6387] * vX_[1637] +
+ vX_[7154] * vX_[1633] + vX_[3137] * vX_[1411] + vX_[7810] * vX_[1407] + vX_[9202] * vX_[1584] +
+ vX_[3153] * vX_[279] + vX_[4903] * vX_[1644] + vX_[4871] * vX_[1642] + vX_[7872] * vX_[1419] +
+ vX_[7846] * vX_[1417] + vX_[1747] * vX_[1584] + vX_[4524] * vX_[273] + vX_[7444] * vX_[354] +
+ vX_[8288] * vX_[277] + vX_[3133] * vX_[1444] + (0 - vX_[3173]) * 0.35 + vX_[2719] * vX_[277] * 0.33 +
+ vX_[7385] * vX_[1493] + vX_[7425] * vX_[1514] + (0 - vX_[2107]) * 0.35 + vX_[3141] * vX_[1533] +
+ vX_[2398] * vX_[1525] + vX_[2893] * vX_[1478] + vX_[4474] * vX_[1471] + vX_[4398] * vX_[1486] +
+ vX_[4484] * vX_[1476] + vX_[7432] * vX_[1474] + vX_[7871] * vX_[1480] + vX_[7943] * vX_[1473] * 0.33 +
+ vX_[4530] * vX_[1473] * 0.33 + vX_[7157] * vX_[1564] + vX_[7442] * vX_[1557] + (0 - vX_[3174]) * 0.35 +
+ vX_[26] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[7886] = vX_[5600] * vX_[354] + vX_[7827] * vX_[273] + vX_[7654] * vX_[369] + vX_[6959] * vX_[355] +
+ vX_[7886] * vX_[274] + vX_[3509] * vX_[840];
+ vX_[6959] = 0 - vX_[7886];
+ vX_[6025] = 0 - (vX_[5669] * vX_[367] + vX_[5790] * vX_[354] + vX_[7867] * vX_[273] + vX_[6961] * vX_[274] +
+ vX_[6025] * vX_[355] + vX_[7535] * vX_[369] + vX_[3485] * vX_[840] + vX_[3518] * vX_[830]);
+ vX_[5744] = vX_[3353] + vX_[5744] * vX_[367] + vX_[7867] * vX_[354];
+ vX_[7873] = vX_[5744] + vX_[7873] * vX_[274] + vX_[6963] * vX_[369] + vX_[3518] * vX_[840];
+ vX_[6963] = 0 - vX_[7873];
+ vX_[6998] =
+ vX_[7938] + vX_[6998] * vX_[274] + vX_[7018] * vX_[369] * 2. + vX_[3518] * vX_[915] + vX_[3521] * vX_[840];
+ vX_[7018] = 0 - vX_[6998];
+ vX_[6727] = vX_[7066] + vX_[6529] * vX_[274] + vX_[6727] * vX_[369] + vX_[3518] * vX_[841] + vX_[3523] * vX_[840];
+ vX_[7066] = 0 - vX_[6727];
+ vX_[6529] = (vX_[6963] * vX_[316] + vX_[7018] * vX_[376] + vX_[7066] * vX_[385]) * 1 / vX_[351];
+ vX_[6963] = vX_[3519] * vX_[1466] + vX_[6959] * vX_[364] + vX_[6025] * vX_[352] + vX_[6963] * vX_[379] + vX_[6529];
+ vX_[5529] = vX_[6728] + vX_[7392] * vX_[355] + vX_[5529] * vX_[274] * 2. + vX_[3509] * vX_[841];
+ vX_[6728] = vX_[5529] * vX_[304] + vX_[6727] * vX_[276];
+ vX_[7938] = vX_[5529] * vX_[276] + vX_[6727] * vX_[303];
+ vX_[5525] = vX_[7482] + vX_[5525] * vX_[274] + vX_[7401] * vX_[355] * 2. + vX_[3509] * vX_[915];
+ vX_[6997] = 0 - (0 - (vX_[5600] * vX_[367] + vX_[7826] * vX_[354]) + vX_[6557] * vX_[369] + vX_[6991] * vX_[274] +
+ vX_[6997] * vX_[355] + vX_[3509] * vX_[830]);
+ vX_[5669] = vX_[3353] + vX_[5669] * vX_[354] + vX_[7869] * vX_[273];
+ vX_[7089] = 0 - (vX_[5669] + vX_[7089] * vX_[355] + vX_[5797] * vX_[369] + vX_[3485] * vX_[830]);
+ vX_[6385] =
+ 0 - (vX_[6385] + vX_[6636] * vX_[355] + vX_[7392] * vX_[369] + vX_[3485] * vX_[915] + vX_[3521] * vX_[830]);
+ vX_[6190] =
+ vX_[6958] + vX_[6190] * vX_[355] + vX_[7399] * vX_[369] * 2. + vX_[3485] * vX_[841] + vX_[3523] * vX_[830];
+ vX_[6958] = 0 - vX_[6190];
+ vX_[6025] =
+ (vX_[7089] * vX_[325] + vX_[6025] * vX_[316] + vX_[6385] * vX_[376] + vX_[6958] * vX_[385]) * 1 / vX_[351];
+ vX_[7089] = 0 - vX_[5525] + vX_[3517] * vX_[1466] + vX_[6997] * vX_[364] + vX_[7089] * vX_[352] + vX_[6025];
+ vX_[3485] = 0 - vX_[5529];
+ vX_[7392] = vX_[7392] + vX_[3521] * vX_[841] + vX_[3523] * vX_[915];
+ vX_[6636] = 0 - vX_[7392];
+ vX_[7399] = vX_[7399] + vX_[3523] * vX_[841];
+ vX_[5797] = 0 - vX_[7399];
+ vX_[7869] = vX_[5797] * vX_[385] * 1 / vX_[351];
+ vX_[5797] = vX_[3524] * vX_[1466] + vX_[3485] * vX_[364] + vX_[6958] * vX_[352] + vX_[7066] * vX_[379] +
+ vX_[6636] * vX_[538] + vX_[5797] * vX_[547] + vX_[7869];
+ vX_[6958] = 0 - vX_[5525];
+ vX_[7401] = vX_[7401] + vX_[3521] * vX_[915];
+ vX_[7066] = 0 - vX_[7401];
+ vX_[6636] = (vX_[7066] * vX_[376] + vX_[6636] * vX_[385]) * 1 / vX_[351];
+ vX_[7066] = vX_[3522] * vX_[1466] + vX_[6958] * vX_[364] + vX_[6385] * vX_[352] + vX_[7018] * vX_[379] +
+ vX_[7066] * vX_[538] + vX_[6636];
+ vX_[5669] = vX_[7462] + vX_[2951] + vX_[3353] - vX_[5669] - vX_[5744] + vX_[7515] * vX_[355] + vX_[6992] * vX_[274];
+ vX_[5744] = vX_[5669] - vX_[7873];
+ vX_[6992] = vX_[5744] * vX_[304] + vX_[7886] * vX_[276];
+ vX_[7515] = vX_[5744] * vX_[276] + vX_[7886] * vX_[303];
+ vX_[5669] = 0 - vX_[5669];
+ vX_[6958] = (vX_[5669] * vX_[363] + vX_[6997] * vX_[325] + vX_[6959] * vX_[316] + vX_[6958] * vX_[376] +
+ vX_[3485] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[5669] = vX_[3513] * vX_[1466] + vX_[5669] * vX_[364] + vX_[6958];
+ vX_[3485] = vX_[6963] * vX_[276] + vX_[5669] * vX_[304];
+ vX_[6997] = vX_[6963] * vX_[303] + vX_[5669] * vX_[276];
+ vX_[6190] = vX_[6998] - vX_[6190];
+ vX_[6958] = 0 - vX_[3513] * vX_[3742] - vX_[3517] * vX_[1778] - vX_[3519] * vX_[1404] - vX_[3520] * vX_[1304] +
+ vX_[3520] * vX_[1466] - vX_[3522] * vX_[1395] - vX_[3524] * vX_[1237] - vX_[6958] * vX_[364] -
+ vX_[6025] * vX_[352] - vX_[6529] * vX_[379] - vX_[6636] * vX_[538] - vX_[7869] * vX_[547];
+ vX_[6636] = 0 - vX_[7399] + vX_[6958];
+ vX_[7869] = vX_[6636] * vX_[304] + vX_[5797] * vX_[276];
+ vX_[6025] = vX_[6636] * vX_[276] + vX_[5797] * vX_[303];
+ vX_[6529] = vX_[7869] * vX_[276] + vX_[6025] * vX_[304];
+ vX_[3524] = vX_[7399] + vX_[7869] * vX_[304];
+ vX_[3522] = vX_[7399] + vX_[6025] * vX_[276];
+ vX_[6958] = vX_[7401] + vX_[7399] + vX_[6958] - vX_[3524] - vX_[3522];
+ vX_[7401] = 0 - vX_[6958];
+ vX_[7399] = vX_[5525] * vX_[304] + vX_[6998] * vX_[276];
+ vX_[3520] = vX_[7399] + vX_[7401] * vX_[317];
+ vX_[3519] = 0 - vX_[3520];
+ vX_[7399] = 0 - (vX_[6190] * vX_[276] + vX_[7089] * vX_[303]) + vX_[7399];
+ vX_[3517] = vX_[5525] * vX_[276] + vX_[6998] * vX_[303];
+ vX_[3513] = vX_[3517] + vX_[6958] * vX_[321];
+ vX_[6959] = 0 - vX_[3513];
+ vX_[6385] = 0 - (vX_[7392] * vX_[276] + vX_[7066] * vX_[303]) + vX_[7392] * vX_[276] * 2.;
+ vX_[7018] = 0 - vX_[6385];
+ vX_[7826] = vX_[7392] * vX_[304] + vX_[7066] * vX_[276] + vX_[7392] * vX_[303] * 2.;
+ vX_[5600] = 0 - vX_[7826];
+ vX_[3560] = vX_[3560] * vX_[2057];
+ vX_[3559] = vX_[3559] * vX_[2057] + vX_[3553] * vX_[1596];
+ vX_[3553] = 0 - vX_[3559];
+ vX_[3554] = vX_[3554] * vX_[1596];
+ vX_[6991] = 0 - vX_[3569];
+ vX_[6557] = vX_[6991] * x_in[19] + vX_[5759] * x_in[20];
+ vX_[7482] = vX_[7005] * x_in[29];
+ vX_[7867] = 0 - vX_[7482];
+ vX_[5790] = vX_[7005] * x_in[28];
+ vX_[6961] = 0 - vX_[5790];
+ vX_[3579] = vX_[3552] * vX_[2045] + vX_[3579] * vX_[2050];
+ vX_[3580] = vX_[3580] * vX_[1562];
+ vX_[3552] = 0 - vX_[3522];
+ vX_[3517] = vX_[6190] * vX_[304] + vX_[7089] * vX_[276] + vX_[3517];
+ vX_[7535] = 0 - vX_[6529];
+ vX_[7654] = 0 - vX_[3522];
+ vX_[7827] = 0 - vX_[3560] - vX_[3554];
+ vX_[3146] = 0 - vX_[3579];
+ vX_[7858] = 0 - vX_[6557] - vX_[3580];
+ jac[382] =
+ 0 -
+ (vX_[3518] * vX_[1240] + vX_[3523] * vX_[923] + vX_[7886] * vX_[359] + vX_[6963] * vX_[309] +
+ vX_[6998] * vX_[372] + vX_[6727] * vX_[384] + vX_[6728] * vX_[313] + vX_[7938] * vX_[302] +
+ vX_[7089] * vX_[320] + vX_[5797] * vX_[347] + vX_[7392] * vX_[592] + vX_[7066] * vX_[375] +
+ vX_[435] * vX_[1126] + vX_[7516] * vX_[1130] - (vX_[3509] * vX_[1550] + vX_[7410] * vX_[1767]) +
+ (vX_[3521] * vX_[1550] + vX_[7410] * vX_[1274]) * 0.08 -
+ (vX_[3525] * vX_[1155] + vX_[5744] * vX_[361] + vX_[6992] * vX_[360] + vX_[7515] * vX_[330] +
+ vX_[5525] * vX_[319] + vX_[5529] * vX_[383] + vX_[5669] * vX_[315] + vX_[3485] * vX_[314] +
+ vX_[6997] * vX_[308] + vX_[6190] * vX_[323] + vX_[6636] * vX_[349] + vX_[7392] * vX_[373] +
+ vX_[7869] * vX_[299] + vX_[6025] * vX_[346] +
+ (vX_[6529] * vX_[322] + vX_[7401] * vX_[332] + vX_[3524] * vX_[318] + vX_[3519] * vX_[328] +
+ (vX_[7399] + vX_[3524] * vX_[317]) * 4.027 + vX_[6959] * vX_[330] + vX_[7018] * vX_[314] +
+ vX_[5600] * vX_[313] + vX_[6529] * vX_[297] + vX_[3524] * vX_[348]) *
+ 0.08 +
+ vX_[4898] * vX_[1026]) +
+ vX_[6240] * vX_[1391] + vX_[6595] * vX_[354] - vX_[3560] * vX_[279] + vX_[3561] * 0.35 +
+ vX_[6983] * vX_[1636] + vX_[5822] * vX_[1634] + vX_[3543] * vX_[1410] + vX_[4545] * vX_[1408] +
+ vX_[8290] * vX_[1582] + vX_[6563] * vX_[1599] + vX_[3553] * vX_[277] + vX_[7006] * vX_[1645] +
+ vX_[6177] * vX_[1641] + vX_[4534] * vX_[1420] + vX_[7428] * vX_[1416] + vX_[8000] * vX_[1588] +
+ vX_[4526] * vX_[273] + vX_[7001] * vX_[354] - vX_[3554] * vX_[279] + vX_[3556] * vX_[1448] +
+ vX_[2897] * vX_[1446] + vX_[3564] * vX_[1595] + vX_[3555] * vX_[1593] + vX_[5751] * vX_[1497] +
+ vX_[7004] * vX_[1495] + vX_[6988] * vX_[1516] + vX_[6557] * vX_[1473] * -0.33 + vX_[7014] * vX_[1531] +
+ vX_[4533] * vX_[1523] + vX_[6984] * vX_[1529] + vX_[6970] * vX_[1474] + vX_[6173] * vX_[1484] +
+ vX_[6965] * vX_[1471] + vX_[7433] * vX_[1482] + vX_[7413] * vX_[1478] + vX_[7867] * vX_[277] * 0.33 +
+ (0 - vX_[5790]) * 0.35 + vX_[6961] * vX_[277] * 0.33 + vX_[3706] * vX_[1568] + vX_[5789] * vX_[1566] +
+ vX_[6964] * vX_[1559] + vX_[6974] * vX_[1512] + (vX_[3579] * vX_[279] + vX_[3580] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[3518] * vX_[1550] + vX_[7410] * vX_[1126]) - (vX_[3509] * vX_[1240] + vX_[435] * vX_[1767]) +
+ (vX_[3521] * vX_[1240] + vX_[6958] * vX_[331] + vX_[3552] * vX_[322] + vX_[3520] * vX_[330] +
+ vX_[3513] * vX_[329] + (0 - (vX_[3517] + vX_[6529] * vX_[317] + vX_[3552] * vX_[321])) * 4.027 +
+ vX_[6385] * vX_[308] + vX_[7826] * vX_[302] + vX_[7535] * vX_[310] + vX_[7654] * vX_[342] +
+ vX_[435] * vX_[1274]) *
+ 0.08 -
+ (vX_[3525] * vX_[923] + vX_[3523] * vX_[1155] + vX_[5744] * vX_[359] + vX_[7886] * vX_[361] +
+ vX_[6992] * vX_[330] + vX_[7515] * vX_[358] + vX_[5525] * vX_[372] + vX_[6963] * vX_[315] +
+ vX_[5529] * vX_[384] + vX_[6998] * vX_[319] + vX_[5669] * vX_[309] + vX_[6727] * vX_[383] +
+ vX_[3485] * vX_[313] + vX_[6997] * vX_[302] + vX_[6728] * vX_[314] + vX_[7938] * vX_[308] +
+ vX_[6190] * vX_[320] + vX_[7089] * vX_[323] + vX_[6636] * vX_[347] + vX_[5797] * vX_[349] +
+ vX_[7392] * vX_[374] + vX_[7392] * vX_[375] + vX_[7066] * vX_[373] + vX_[7869] * vX_[346] +
+ vX_[6025] * vX_[343] + vX_[4898] * vX_[1130] + vX_[7516] * vX_[1026]) +
+ vX_[7411] * vX_[273] + vX_[3167] * vX_[1630] + vX_[3544] * vX_[1403] + vX_[6983] * vX_[1637] +
+ vX_[5824] * vX_[1633] + vX_[3543] * vX_[1411] + vX_[7393] * vX_[1407] + vX_[1501] * vX_[1584] +
+ vX_[3559] * vX_[279] + vX_[7006] * vX_[1644] + vX_[6177] * vX_[1642] + vX_[4534] * vX_[1419] +
+ vX_[7428] * vX_[1417] + vX_[1934] * vX_[1584] + vX_[4983] * vX_[273] + vX_[6243] * vX_[354] +
+ vX_[7827] * vX_[277] + vX_[3539] * vX_[1444] + (0 - vX_[3579]) * 0.35 + vX_[3146] * vX_[277] * 0.33 +
+ vX_[7015] * vX_[1493] + vX_[7000] * vX_[1514] + (0 - vX_[6557]) * 0.35 + vX_[3547] * vX_[1533] +
+ vX_[4823] * vX_[1525] + vX_[6982] * vX_[1478] + vX_[6968] * vX_[1471] + vX_[6228] * vX_[1486] +
+ vX_[6257] * vX_[1476] + vX_[6969] * vX_[1474] + vX_[5106] * vX_[1480] + vX_[7482] * vX_[1473] * 0.33 +
+ vX_[5790] * vX_[1473] * 0.33 + vX_[6978] * vX_[1564] + vX_[6973] * vX_[1557] + (0 - vX_[3580]) * 0.35 +
+ vX_[7858] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[6166] = vX_[7476] * vX_[354] + vX_[6956] * vX_[273] + vX_[6672] * vX_[369] + vX_[7042] * vX_[355] +
+ vX_[6166] * vX_[274] + vX_[3905] * vX_[840];
+ vX_[7042] = 0 - vX_[6166];
+ vX_[3709] = 0 - (vX_[7373] * vX_[367] + vX_[6113] * vX_[354] + vX_[6730] * vX_[273] + vX_[6572] * vX_[274] +
+ vX_[3709] * vX_[355] + vX_[6564] * vX_[369] + vX_[3881] * vX_[840] + vX_[3914] * vX_[830]);
+ vX_[7528] = vX_[3749] + vX_[7528] * vX_[367] + vX_[6730] * vX_[354];
+ vX_[6689] = vX_[7528] + vX_[6689] * vX_[274] + vX_[6597] * vX_[369] + vX_[3914] * vX_[840];
+ vX_[6597] = 0 - vX_[6689];
+ vX_[6581] =
+ vX_[7038] + vX_[6581] * vX_[274] + vX_[7101] * vX_[369] * 2. + vX_[3914] * vX_[915] + vX_[3917] * vX_[840];
+ vX_[7101] = 0 - vX_[6581];
+ vX_[7087] = vX_[7526] + vX_[7046] * vX_[274] + vX_[7087] * vX_[369] + vX_[3914] * vX_[841] + vX_[3919] * vX_[840];
+ vX_[7526] = 0 - vX_[7087];
+ vX_[7046] = (vX_[6597] * vX_[316] + vX_[7101] * vX_[376] + vX_[7526] * vX_[385]) * 1 / vX_[351];
+ vX_[6597] = vX_[3915] * vX_[1466] + vX_[7042] * vX_[364] + vX_[3709] * vX_[352] + vX_[6597] * vX_[379] + vX_[7046];
+ vX_[6594] = vX_[6806] + vX_[7459] * vX_[355] + vX_[6594] * vX_[274] * 2. + vX_[3905] * vX_[841];
+ vX_[6806] = vX_[6594] * vX_[304] + vX_[7087] * vX_[276];
+ vX_[7038] = vX_[6594] * vX_[276] + vX_[7087] * vX_[303];
+ vX_[6565] = vX_[6578] + vX_[6565] * vX_[274] + vX_[6536] * vX_[355] * 2. + vX_[3905] * vX_[915];
+ vX_[6569] = 0 - (0 - (vX_[7476] * vX_[367] + vX_[7017] * vX_[354]) + vX_[6948] * vX_[369] + vX_[6567] * vX_[274] +
+ vX_[6569] * vX_[355] + vX_[3905] * vX_[830]);
+ vX_[7373] = vX_[3749] + vX_[7373] * vX_[354] + vX_[7400] * vX_[273];
+ vX_[3660] = 0 - (vX_[7373] + vX_[3660] * vX_[355] + vX_[7078] * vX_[369] + vX_[3881] * vX_[830]);
+ vX_[6670] =
+ 0 - (vX_[6670] + vX_[6586] * vX_[355] + vX_[7459] * vX_[369] + vX_[3881] * vX_[915] + vX_[3917] * vX_[830]);
+ vX_[7302] =
+ vX_[6596] + vX_[7302] * vX_[355] + vX_[6598] * vX_[369] * 2. + vX_[3881] * vX_[841] + vX_[3919] * vX_[830];
+ vX_[6596] = 0 - vX_[7302];
+ vX_[3709] =
+ (vX_[3660] * vX_[325] + vX_[3709] * vX_[316] + vX_[6670] * vX_[376] + vX_[6596] * vX_[385]) * 1 / vX_[351];
+ vX_[3660] = 0 - vX_[6565] + vX_[3913] * vX_[1466] + vX_[6569] * vX_[364] + vX_[3660] * vX_[352] + vX_[3709];
+ vX_[3881] = 0 - vX_[6594];
+ vX_[7459] = vX_[7459] + vX_[3917] * vX_[841] + vX_[3919] * vX_[915];
+ vX_[6586] = 0 - vX_[7459];
+ vX_[6598] = vX_[6598] + vX_[3919] * vX_[841];
+ vX_[7078] = 0 - vX_[6598];
+ vX_[7400] = vX_[7078] * vX_[385] * 1 / vX_[351];
+ vX_[7078] = vX_[3920] * vX_[1466] + vX_[3881] * vX_[364] + vX_[6596] * vX_[352] + vX_[7526] * vX_[379] +
+ vX_[6586] * vX_[538] + vX_[7078] * vX_[547] + vX_[7400];
+ vX_[6596] = 0 - vX_[6565];
+ vX_[6536] = vX_[6536] + vX_[3917] * vX_[915];
+ vX_[7526] = 0 - vX_[6536];
+ vX_[6586] = (vX_[7526] * vX_[376] + vX_[6586] * vX_[385]) * 1 / vX_[351];
+ vX_[7526] = vX_[3918] * vX_[1466] + vX_[6596] * vX_[364] + vX_[6670] * vX_[352] + vX_[7101] * vX_[379] +
+ vX_[7526] * vX_[538] + vX_[6586];
+ vX_[7373] = vX_[6607] + vX_[3357] + vX_[3749] - vX_[7373] - vX_[7528] + vX_[6579] * vX_[355] + vX_[6582] * vX_[274];
+ vX_[7528] = vX_[7373] - vX_[6689];
+ vX_[6582] = vX_[7528] * vX_[304] + vX_[6166] * vX_[276];
+ vX_[6579] = vX_[7528] * vX_[276] + vX_[6166] * vX_[303];
+ vX_[7373] = 0 - vX_[7373];
+ vX_[6596] = (vX_[7373] * vX_[363] + vX_[6569] * vX_[325] + vX_[7042] * vX_[316] + vX_[6596] * vX_[376] +
+ vX_[3881] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[7373] = vX_[3909] * vX_[1466] + vX_[7373] * vX_[364] + vX_[6596];
+ vX_[3881] = vX_[6597] * vX_[276] + vX_[7373] * vX_[304];
+ vX_[6569] = vX_[6597] * vX_[303] + vX_[7373] * vX_[276];
+ vX_[7302] = vX_[6581] - vX_[7302];
+ vX_[6596] = 0 - vX_[3909] * vX_[3742] - vX_[3913] * vX_[1778] - vX_[3915] * vX_[1404] - vX_[3916] * vX_[1304] +
+ vX_[3916] * vX_[1466] - vX_[3918] * vX_[1395] - vX_[3920] * vX_[1237] - vX_[6596] * vX_[364] -
+ vX_[3709] * vX_[352] - vX_[7046] * vX_[379] - vX_[6586] * vX_[538] - vX_[7400] * vX_[547];
+ vX_[6586] = 0 - vX_[6598] + vX_[6596];
+ vX_[7400] = vX_[6586] * vX_[304] + vX_[7078] * vX_[276];
+ vX_[3709] = vX_[6586] * vX_[276] + vX_[7078] * vX_[303];
+ vX_[7046] = vX_[7400] * vX_[276] + vX_[3709] * vX_[304];
+ vX_[3920] = vX_[6598] + vX_[7400] * vX_[304];
+ vX_[3918] = vX_[6598] + vX_[3709] * vX_[276];
+ vX_[6596] = vX_[6536] + vX_[6598] + vX_[6596] - vX_[3920] - vX_[3918];
+ vX_[6536] = 0 - vX_[6596];
+ vX_[6598] = vX_[6565] * vX_[304] + vX_[6581] * vX_[276];
+ vX_[3916] = vX_[6598] + vX_[6536] * vX_[317];
+ vX_[3915] = 0 - vX_[3916];
+ vX_[6598] = 0 - (vX_[7302] * vX_[276] + vX_[3660] * vX_[303]) + vX_[6598];
+ vX_[3913] = vX_[6565] * vX_[276] + vX_[6581] * vX_[303];
+ vX_[3909] = vX_[3913] + vX_[6596] * vX_[321];
+ vX_[7042] = 0 - vX_[3909];
+ vX_[6670] = 0 - (vX_[7459] * vX_[276] + vX_[7526] * vX_[303]) + vX_[7459] * vX_[276] * 2.;
+ vX_[7101] = 0 - vX_[6670];
+ vX_[7017] = vX_[7459] * vX_[304] + vX_[7526] * vX_[276] + vX_[7459] * vX_[303] * 2.;
+ vX_[7476] = 0 - vX_[7017];
+ vX_[3956] = vX_[3956] * vX_[2057];
+ vX_[3955] = vX_[3955] * vX_[2057] + vX_[3949] * vX_[1596];
+ vX_[3949] = 0 - vX_[3955];
+ vX_[3950] = vX_[3950] * vX_[1596];
+ vX_[6567] = 0 - vX_[3965];
+ vX_[6948] = vX_[6567] * x_in[19] + vX_[6551] * x_in[20];
+ vX_[6578] = vX_[6550] * x_in[29];
+ vX_[6730] = 0 - vX_[6578];
+ vX_[6113] = vX_[6550] * x_in[28];
+ vX_[6572] = 0 - vX_[6113];
+ vX_[3975] = vX_[3948] * vX_[2045] + vX_[3975] * vX_[2050];
+ vX_[3976] = vX_[3976] * vX_[1562];
+ vX_[3948] = 0 - vX_[3918];
+ vX_[3913] = vX_[7302] * vX_[304] + vX_[3660] * vX_[276] + vX_[3913];
+ vX_[6564] = 0 - vX_[7046];
+ vX_[6672] = 0 - vX_[3918];
+ vX_[6956] = 0 - vX_[3956] - vX_[3950];
+ vX_[3552] = 0 - vX_[3975];
+ vX_[7401] = 0 - vX_[6948] - vX_[3976];
+ jac[383] =
+ 0 -
+ (vX_[3914] * vX_[1240] + vX_[3919] * vX_[923] + vX_[6166] * vX_[359] + vX_[6597] * vX_[309] +
+ vX_[6581] * vX_[372] + vX_[7087] * vX_[384] + vX_[6806] * vX_[313] + vX_[7038] * vX_[302] +
+ vX_[3660] * vX_[320] + vX_[7078] * vX_[347] + vX_[7459] * vX_[592] + vX_[7526] * vX_[375] +
+ vX_[991] * vX_[1126] + vX_[8730] * vX_[1130] - (vX_[3905] * vX_[1550] + vX_[6309] * vX_[1767]) +
+ (vX_[3917] * vX_[1550] + vX_[6309] * vX_[1274]) * 0.08 -
+ (vX_[3921] * vX_[1155] + vX_[7528] * vX_[361] + vX_[6582] * vX_[360] + vX_[6579] * vX_[330] +
+ vX_[6565] * vX_[319] + vX_[6594] * vX_[383] + vX_[7373] * vX_[315] + vX_[3881] * vX_[314] +
+ vX_[6569] * vX_[308] + vX_[7302] * vX_[323] + vX_[6586] * vX_[349] + vX_[7459] * vX_[373] +
+ vX_[7400] * vX_[299] + vX_[3709] * vX_[346] +
+ (vX_[7046] * vX_[322] + vX_[6536] * vX_[332] + vX_[3920] * vX_[318] + vX_[3915] * vX_[328] +
+ (vX_[6598] + vX_[3920] * vX_[317]) * 4.027 + vX_[7042] * vX_[330] + vX_[7101] * vX_[314] +
+ vX_[7476] * vX_[313] + vX_[7046] * vX_[297] + vX_[3920] * vX_[348]) *
+ 0.08 +
+ vX_[1260] * vX_[1026]) +
+ vX_[3722] * vX_[1391] + vX_[918] * vX_[354] - vX_[3956] * vX_[279] + vX_[3957] * 0.35 +
+ vX_[5880] * vX_[1636] + vX_[5699] * vX_[1634] + vX_[3939] * vX_[1410] + vX_[7731] * vX_[1408] +
+ vX_[2602] * vX_[1582] + vX_[998] * vX_[1599] + vX_[3949] * vX_[277] + vX_[4999] * vX_[1645] +
+ vX_[2918] * vX_[1641] + vX_[6128] * vX_[1420] + vX_[6540] * vX_[1416] + vX_[2085] * vX_[1588] +
+ vX_[6972] * vX_[273] + vX_[6111] * vX_[354] - vX_[3950] * vX_[279] + vX_[3952] * vX_[1448] +
+ vX_[2011] * vX_[1446] + vX_[3960] * vX_[1595] + vX_[3951] * vX_[1593] + vX_[6546] * vX_[1497] +
+ vX_[6555] * vX_[1495] + vX_[1461] * vX_[1516] + vX_[6948] * vX_[1473] * -0.33 + vX_[9125] * vX_[1531] +
+ vX_[6542] * vX_[1523] + vX_[8997] * vX_[1529] + vX_[3719] * vX_[1474] + vX_[8727] * vX_[1484] +
+ vX_[8736] * vX_[1471] + vX_[1491] * vX_[1482] + vX_[6544] * vX_[1478] + vX_[6730] * vX_[277] * 0.33 +
+ (0 - vX_[6113]) * 0.35 + vX_[6572] * vX_[277] * 0.33 + vX_[4102] * vX_[1568] + vX_[6553] * vX_[1566] +
+ vX_[8725] * vX_[1559] + vX_[6107] * vX_[1512] + (vX_[3975] * vX_[279] + vX_[3976] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[3914] * vX_[1550] + vX_[6309] * vX_[1126]) - (vX_[3905] * vX_[1240] + vX_[991] * vX_[1767]) +
+ (vX_[3917] * vX_[1240] + vX_[6596] * vX_[331] + vX_[3948] * vX_[322] + vX_[3916] * vX_[330] +
+ vX_[3909] * vX_[329] + (0 - (vX_[3913] + vX_[7046] * vX_[317] + vX_[3948] * vX_[321])) * 4.027 +
+ vX_[6670] * vX_[308] + vX_[7017] * vX_[302] + vX_[6564] * vX_[310] + vX_[6672] * vX_[342] +
+ vX_[991] * vX_[1274]) *
+ 0.08 -
+ (vX_[3921] * vX_[923] + vX_[3919] * vX_[1155] + vX_[7528] * vX_[359] + vX_[6166] * vX_[361] +
+ vX_[6582] * vX_[330] + vX_[6579] * vX_[358] + vX_[6565] * vX_[372] + vX_[6597] * vX_[315] +
+ vX_[6594] * vX_[384] + vX_[6581] * vX_[319] + vX_[7373] * vX_[309] + vX_[7087] * vX_[383] +
+ vX_[3881] * vX_[313] + vX_[6569] * vX_[302] + vX_[6806] * vX_[314] + vX_[7038] * vX_[308] +
+ vX_[7302] * vX_[320] + vX_[3660] * vX_[323] + vX_[6586] * vX_[347] + vX_[7078] * vX_[349] +
+ vX_[7459] * vX_[374] + vX_[7459] * vX_[375] + vX_[7526] * vX_[373] + vX_[7400] * vX_[346] +
+ vX_[3709] * vX_[343] + vX_[1260] * vX_[1130] + vX_[8730] * vX_[1026]) +
+ vX_[7727] * vX_[273] + vX_[3573] * vX_[1630] + vX_[3940] * vX_[1403] + vX_[5880] * vX_[1637] +
+ vX_[9001] * vX_[1633] + vX_[3939] * vX_[1411] + vX_[7882] * vX_[1407] + vX_[7860] * vX_[1584] +
+ vX_[3955] * vX_[279] + vX_[4999] * vX_[1644] + vX_[2918] * vX_[1642] + vX_[6128] * vX_[1419] +
+ vX_[6540] * vX_[1417] + vX_[7859] * vX_[1584] + vX_[8933] * vX_[273] + vX_[8738] * vX_[354] +
+ vX_[6956] * vX_[277] + vX_[3935] * vX_[1444] + (0 - vX_[3975]) * 0.35 + vX_[3552] * vX_[277] * 0.33 +
+ vX_[6554] * vX_[1493] + vX_[6110] * vX_[1514] + (0 - vX_[6948]) * 0.35 + vX_[3943] * vX_[1533] +
+ vX_[8801] * vX_[1525] + vX_[9123] * vX_[1478] + vX_[1560] * vX_[1471] + vX_[8810] * vX_[1486] +
+ vX_[1147] * vX_[1476] + vX_[6170] * vX_[1474] + vX_[7423] * vX_[1480] + vX_[6578] * vX_[1473] * 0.33 +
+ vX_[6113] * vX_[1473] * 0.33 + vX_[6552] * vX_[1564] + vX_[6108] * vX_[1557] + (0 - vX_[3976]) * 0.35 +
+ vX_[7401] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[1451] = vX_[3705] * vX_[354] + vX_[6547] * vX_[273] + vX_[6136] * vX_[369] + vX_[6117] * vX_[355] +
+ vX_[1451] * vX_[274] + vX_[4320] * vX_[840];
+ vX_[6117] = 0 - vX_[1451];
+ vX_[5721] = 0 - (vX_[3510] * vX_[367] + vX_[5714] * vX_[354] + vX_[6559] * vX_[273] + vX_[6138] * vX_[274] +
+ vX_[5721] * vX_[355] + vX_[5451] * vX_[369] + vX_[4296] * vX_[840] + vX_[4329] * vX_[830]);
+ vX_[4105] = vX_[4167] + vX_[4105] * vX_[367] + vX_[6559] * vX_[354];
+ vX_[6165] = vX_[4105] + vX_[6165] * vX_[274] + vX_[6116] * vX_[369] + vX_[4329] * vX_[840];
+ vX_[6116] = 0 - vX_[6165];
+ vX_[5681] =
+ vX_[6122] + vX_[5681] * vX_[274] + vX_[4558] * vX_[369] * 2. + vX_[4329] * vX_[915] + vX_[4332] * vX_[840];
+ vX_[4558] = 0 - vX_[5681];
+ vX_[3740] = vX_[4739] + vX_[6124] * vX_[274] + vX_[3740] * vX_[369] + vX_[4329] * vX_[841] + vX_[4334] * vX_[840];
+ vX_[4739] = 0 - vX_[3740];
+ vX_[6124] = (vX_[6116] * vX_[316] + vX_[4558] * vX_[376] + vX_[4739] * vX_[385]) * 1 / vX_[351];
+ vX_[6116] = vX_[4330] * vX_[1466] + vX_[6117] * vX_[364] + vX_[5721] * vX_[352] + vX_[6116] * vX_[379] + vX_[6124];
+ vX_[5453] = vX_[6164] + vX_[6158] * vX_[355] + vX_[5453] * vX_[274] * 2. + vX_[4320] * vX_[841];
+ vX_[6164] = vX_[5453] * vX_[304] + vX_[3740] * vX_[276];
+ vX_[6122] = vX_[5453] * vX_[276] + vX_[3740] * vX_[303];
+ vX_[3734] = vX_[6140] + vX_[3734] * vX_[274] + vX_[6141] * vX_[355] * 2. + vX_[4320] * vX_[915];
+ vX_[2922] = 0 - (0 - (vX_[3705] * vX_[367] + vX_[7532] * vX_[354]) + vX_[8650] * vX_[369] + vX_[5686] * vX_[274] +
+ vX_[2922] * vX_[355] + vX_[4320] * vX_[830]);
+ vX_[3510] = vX_[4167] + vX_[3510] * vX_[354] + vX_[6537] * vX_[273];
+ vX_[5720] = 0 - (vX_[3510] + vX_[5720] * vX_[355] + vX_[5684] * vX_[369] + vX_[4296] * vX_[830]);
+ vX_[5007] =
+ 0 - (vX_[5007] + vX_[6121] * vX_[355] + vX_[6158] * vX_[369] + vX_[4296] * vX_[915] + vX_[4332] * vX_[830]);
+ vX_[1351] =
+ vX_[6125] + vX_[1351] * vX_[355] + vX_[8797] * vX_[369] * 2. + vX_[4296] * vX_[841] + vX_[4334] * vX_[830];
+ vX_[6125] = 0 - vX_[1351];
+ vX_[5721] =
+ (vX_[5720] * vX_[325] + vX_[5721] * vX_[316] + vX_[5007] * vX_[376] + vX_[6125] * vX_[385]) * 1 / vX_[351];
+ vX_[5720] = 0 - vX_[3734] + vX_[4328] * vX_[1466] + vX_[2922] * vX_[364] + vX_[5720] * vX_[352] + vX_[5721];
+ vX_[4296] = 0 - vX_[5453];
+ vX_[6158] = vX_[6158] + vX_[4332] * vX_[841] + vX_[4334] * vX_[915];
+ vX_[6121] = 0 - vX_[6158];
+ vX_[8797] = vX_[8797] + vX_[4334] * vX_[841];
+ vX_[5684] = 0 - vX_[8797];
+ vX_[6537] = vX_[5684] * vX_[385] * 1 / vX_[351];
+ vX_[5684] = vX_[4335] * vX_[1466] + vX_[4296] * vX_[364] + vX_[6125] * vX_[352] + vX_[4739] * vX_[379] +
+ vX_[6121] * vX_[538] + vX_[5684] * vX_[547] + vX_[6537];
+ vX_[6125] = 0 - vX_[3734];
+ vX_[6141] = vX_[6141] + vX_[4332] * vX_[915];
+ vX_[4739] = 0 - vX_[6141];
+ vX_[6121] = (vX_[4739] * vX_[376] + vX_[6121] * vX_[385]) * 1 / vX_[351];
+ vX_[4739] = vX_[4333] * vX_[1466] + vX_[6125] * vX_[364] + vX_[5007] * vX_[352] + vX_[4558] * vX_[379] +
+ vX_[4739] * vX_[538] + vX_[6121];
+ vX_[3510] = vX_[5659] + vX_[6683] + vX_[4167] - vX_[3510] - vX_[4105] + vX_[6152] * vX_[355] + vX_[5682] * vX_[274];
+ vX_[4105] = vX_[3510] - vX_[6165];
+ vX_[5682] = vX_[4105] * vX_[304] + vX_[1451] * vX_[276];
+ vX_[6152] = vX_[4105] * vX_[276] + vX_[1451] * vX_[303];
+ vX_[3510] = 0 - vX_[3510];
+ vX_[6125] = (vX_[3510] * vX_[363] + vX_[2922] * vX_[325] + vX_[6117] * vX_[316] + vX_[6125] * vX_[376] +
+ vX_[4296] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[3510] = vX_[4324] * vX_[1466] + vX_[3510] * vX_[364] + vX_[6125];
+ vX_[4296] = vX_[6116] * vX_[276] + vX_[3510] * vX_[304];
+ vX_[2922] = vX_[6116] * vX_[303] + vX_[3510] * vX_[276];
+ vX_[1351] = vX_[5681] - vX_[1351];
+ vX_[6125] = 0 - vX_[4324] * vX_[3742] - vX_[4328] * vX_[1778] - vX_[4330] * vX_[1404] - vX_[4331] * vX_[1304] +
+ vX_[4331] * vX_[1466] - vX_[4333] * vX_[1395] - vX_[4335] * vX_[1237] - vX_[6125] * vX_[364] -
+ vX_[5721] * vX_[352] - vX_[6124] * vX_[379] - vX_[6121] * vX_[538] - vX_[6537] * vX_[547];
+ vX_[6121] = 0 - vX_[8797] + vX_[6125];
+ vX_[6537] = vX_[6121] * vX_[304] + vX_[5684] * vX_[276];
+ vX_[5721] = vX_[6121] * vX_[276] + vX_[5684] * vX_[303];
+ vX_[6124] = vX_[6537] * vX_[276] + vX_[5721] * vX_[304];
+ vX_[4335] = vX_[8797] + vX_[6537] * vX_[304];
+ vX_[4333] = vX_[8797] + vX_[5721] * vX_[276];
+ vX_[6125] = vX_[6141] + vX_[8797] + vX_[6125] - vX_[4335] - vX_[4333];
+ vX_[6141] = 0 - vX_[6125];
+ vX_[8797] = vX_[3734] * vX_[304] + vX_[5681] * vX_[276];
+ vX_[4331] = vX_[8797] + vX_[6141] * vX_[317];
+ vX_[4330] = 0 - vX_[4331];
+ vX_[8797] = 0 - (vX_[1351] * vX_[276] + vX_[5720] * vX_[303]) + vX_[8797];
+ vX_[4328] = vX_[3734] * vX_[276] + vX_[5681] * vX_[303];
+ vX_[4324] = vX_[4328] + vX_[6125] * vX_[321];
+ vX_[6117] = 0 - vX_[4324];
+ vX_[5007] = 0 - (vX_[6158] * vX_[276] + vX_[4739] * vX_[303]) + vX_[6158] * vX_[276] * 2.;
+ vX_[4558] = 0 - vX_[5007];
+ vX_[7532] = vX_[6158] * vX_[304] + vX_[4739] * vX_[276] + vX_[6158] * vX_[303] * 2.;
+ vX_[3705] = 0 - vX_[7532];
+ vX_[4371] = vX_[4371] * vX_[2057];
+ vX_[4370] = vX_[4370] * vX_[2057] + vX_[4364] * vX_[1596];
+ vX_[4364] = 0 - vX_[4370];
+ vX_[4365] = vX_[4365] * vX_[1596];
+ vX_[5686] = 0 - vX_[4380];
+ vX_[8650] = vX_[5686] * x_in[19] + vX_[5259] * x_in[20];
+ vX_[6140] = vX_[5741] * x_in[29];
+ vX_[6559] = 0 - vX_[6140];
+ vX_[5714] = vX_[5741] * x_in[28];
+ vX_[6138] = 0 - vX_[5714];
+ vX_[4390] = vX_[4363] * vX_[2045] + vX_[4390] * vX_[2050];
+ vX_[4391] = vX_[4391] * vX_[1562];
+ vX_[4363] = 0 - vX_[4333];
+ vX_[4328] = vX_[1351] * vX_[304] + vX_[5720] * vX_[276] + vX_[4328];
+ vX_[5451] = 0 - vX_[6124];
+ vX_[6136] = 0 - vX_[4333];
+ vX_[6547] = 0 - vX_[4371] - vX_[4365];
+ vX_[3948] = 0 - vX_[4390];
+ vX_[6536] = 0 - vX_[8650] - vX_[4391];
+ jac[384] =
+ 0 -
+ (vX_[4329] * vX_[1240] + vX_[4334] * vX_[923] + vX_[1451] * vX_[359] + vX_[6116] * vX_[309] +
+ vX_[5681] * vX_[372] + vX_[3740] * vX_[384] + vX_[6164] * vX_[313] + vX_[6122] * vX_[302] +
+ vX_[5720] * vX_[320] + vX_[5684] * vX_[347] + vX_[6158] * vX_[592] + vX_[4739] * vX_[375] +
+ vX_[7856] * vX_[1126] + vX_[6149] * vX_[1130] - (vX_[4320] * vX_[1550] + vX_[7962] * vX_[1767]) +
+ (vX_[4332] * vX_[1550] + vX_[7962] * vX_[1274]) * 0.08 -
+ (vX_[4336] * vX_[1155] + vX_[4105] * vX_[361] + vX_[5682] * vX_[360] + vX_[6152] * vX_[330] +
+ vX_[3734] * vX_[319] + vX_[5453] * vX_[383] + vX_[3510] * vX_[315] + vX_[4296] * vX_[314] +
+ vX_[2922] * vX_[308] + vX_[1351] * vX_[323] + vX_[6121] * vX_[349] + vX_[6158] * vX_[373] +
+ vX_[6537] * vX_[299] + vX_[5721] * vX_[346] +
+ (vX_[6124] * vX_[322] + vX_[6141] * vX_[332] + vX_[4335] * vX_[318] + vX_[4330] * vX_[328] +
+ (vX_[8797] + vX_[4335] * vX_[317]) * 4.027 + vX_[6117] * vX_[330] + vX_[4558] * vX_[314] +
+ vX_[3705] * vX_[313] + vX_[6124] * vX_[297] + vX_[4335] * vX_[348]) *
+ 0.08 +
+ vX_[8296] * vX_[1026]) +
+ vX_[1572] * vX_[1391] + vX_[1773] * vX_[354] - vX_[4371] * vX_[279] + vX_[4372] * 0.35 +
+ vX_[1875] * vX_[1636] + vX_[3035] * vX_[1634] + vX_[4354] * vX_[1410] + vX_[8077] * vX_[1408] +
+ vX_[6197] * vX_[1582] + vX_[3033] * vX_[1599] + vX_[4364] * vX_[277] + vX_[3102] * vX_[1645] +
+ vX_[3175] * vX_[1641] + vX_[8146] * vX_[1420] + vX_[8305] * vX_[1416] + vX_[6533] * vX_[1588] +
+ vX_[6169] * vX_[273] + vX_[3254] * vX_[354] - vX_[4365] * vX_[279] + vX_[4367] * vX_[1448] +
+ vX_[7397] * vX_[1446] + vX_[4375] * vX_[1595] + vX_[4366] * vX_[1593] + vX_[3512] * vX_[1497] +
+ vX_[5678] * vX_[1495] + vX_[5727] * vX_[1516] + vX_[8650] * vX_[1473] * -0.33 + vX_[7942] * vX_[1531] +
+ vX_[6143] * vX_[1523] + vX_[3257] * vX_[1529] + vX_[5706] * vX_[1474] + vX_[3317] * vX_[1484] +
+ vX_[5729] * vX_[1471] + vX_[8223] * vX_[1482] + vX_[6168] * vX_[1478] + vX_[6559] * vX_[277] * 0.33 +
+ (0 - vX_[5714]) * 0.35 + vX_[6138] * vX_[277] * 0.33 + vX_[4517] * vX_[1568] + vX_[5740] * vX_[1566] +
+ vX_[3437] * vX_[1559] + vX_[5712] * vX_[1512] + (vX_[4390] * vX_[279] + vX_[4391] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[4329] * vX_[1550] + vX_[7962] * vX_[1126]) - (vX_[4320] * vX_[1240] + vX_[7856] * vX_[1767]) +
+ (vX_[4332] * vX_[1240] + vX_[6125] * vX_[331] + vX_[4363] * vX_[322] + vX_[4331] * vX_[330] +
+ vX_[4324] * vX_[329] + (0 - (vX_[4328] + vX_[6124] * vX_[317] + vX_[4363] * vX_[321])) * 4.027 +
+ vX_[5007] * vX_[308] + vX_[7532] * vX_[302] + vX_[5451] * vX_[310] + vX_[6136] * vX_[342] +
+ vX_[7856] * vX_[1274]) *
+ 0.08 -
+ (vX_[4336] * vX_[923] + vX_[4334] * vX_[1155] + vX_[4105] * vX_[359] + vX_[1451] * vX_[361] +
+ vX_[5682] * vX_[330] + vX_[6152] * vX_[358] + vX_[3734] * vX_[372] + vX_[6116] * vX_[315] +
+ vX_[5453] * vX_[384] + vX_[5681] * vX_[319] + vX_[3510] * vX_[309] + vX_[3740] * vX_[383] +
+ vX_[4296] * vX_[313] + vX_[2922] * vX_[302] + vX_[6164] * vX_[314] + vX_[6122] * vX_[308] +
+ vX_[1351] * vX_[320] + vX_[5720] * vX_[323] + vX_[6121] * vX_[347] + vX_[5684] * vX_[349] +
+ vX_[6158] * vX_[374] + vX_[6158] * vX_[375] + vX_[4739] * vX_[373] + vX_[6537] * vX_[346] +
+ vX_[5721] * vX_[343] + vX_[8296] * vX_[1130] + vX_[6149] * vX_[1026]) +
+ vX_[8330] * vX_[273] + vX_[3969] * vX_[1630] + vX_[4355] * vX_[1403] + vX_[1875] * vX_[1637] +
+ vX_[2938] * vX_[1633] + vX_[4354] * vX_[1411] + vX_[6157] * vX_[1407] + vX_[7941] * vX_[1584] +
+ vX_[4370] * vX_[279] + vX_[3102] * vX_[1644] + vX_[3175] * vX_[1642] + vX_[8146] * vX_[1419] +
+ vX_[8305] * vX_[1417] + vX_[7396] * vX_[1584] + vX_[7959] * vX_[273] + vX_[3179] * vX_[354] +
+ vX_[6547] * vX_[277] + vX_[4350] * vX_[1444] + (0 - vX_[4390]) * 0.35 + vX_[3948] * vX_[277] * 0.33 +
+ vX_[5679] * vX_[1493] + vX_[5738] * vX_[1514] + (0 - vX_[8650]) * 0.35 + vX_[4358] * vX_[1533] +
+ vX_[6150] * vX_[1525] + vX_[8221] * vX_[1478] + vX_[5286] * vX_[1471] + vX_[5812] * vX_[1486] +
+ vX_[5318] * vX_[1476] + vX_[3303] * vX_[1474] + vX_[8307] * vX_[1480] + vX_[6140] * vX_[1473] * 0.33 +
+ vX_[5714] * vX_[1473] * 0.33 + vX_[5715] * vX_[1564] + vX_[5689] * vX_[1557] + (0 - vX_[4391]) * 0.35 +
+ vX_[6536] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[5301] = vX_[4107] * vX_[354] + vX_[1307] * vX_[273] + vX_[1656] * vX_[369] + vX_[4109] * vX_[355] +
+ vX_[5301] * vX_[274] + vX_[4749] * vX_[840];
+ vX_[4109] = 0 - vX_[5301];
+ vX_[5305] = 0 - (vX_[5282] * vX_[367] + vX_[5270] * vX_[354] + vX_[6123] * vX_[273] + vX_[5003] * vX_[274] +
+ vX_[5305] * vX_[355] + vX_[5302] * vX_[369] + vX_[4725] * vX_[840] + vX_[4758] * vX_[830]);
+ vX_[4101] = vX_[4596] + vX_[4101] * vX_[367] + vX_[6123] * vX_[354];
+ vX_[5267] = vX_[4101] + vX_[5267] * vX_[274] + vX_[5322] * vX_[369] + vX_[4758] * vX_[840];
+ vX_[5322] = 0 - vX_[5267];
+ vX_[4076] =
+ vX_[1687] + vX_[4076] * vX_[274] + vX_[3831] * vX_[369] * 2. + vX_[4758] * vX_[915] + vX_[4761] * vX_[840];
+ vX_[3831] = 0 - vX_[4076];
+ vX_[3837] = vX_[5295] + vX_[5263] * vX_[274] + vX_[3837] * vX_[369] + vX_[4758] * vX_[841] + vX_[4763] * vX_[840];
+ vX_[5295] = 0 - vX_[3837];
+ vX_[5263] = (vX_[5322] * vX_[316] + vX_[3831] * vX_[376] + vX_[5295] * vX_[385]) * 1 / vX_[351];
+ vX_[5322] = vX_[4759] * vX_[1466] + vX_[4109] * vX_[364] + vX_[5305] * vX_[352] + vX_[5322] * vX_[379] + vX_[5263];
+ vX_[5308] = vX_[5034] + vX_[4994] * vX_[355] + vX_[5308] * vX_[274] * 2. + vX_[4749] * vX_[841];
+ vX_[5034] = vX_[5308] * vX_[304] + vX_[3837] * vX_[276];
+ vX_[1687] = vX_[5308] * vX_[276] + vX_[3837] * vX_[303];
+ vX_[5320] = vX_[1355] + vX_[5320] * vX_[274] + vX_[2858] * vX_[355] * 2. + vX_[4749] * vX_[915];
+ vX_[4027] = 0 - (0 - (vX_[4107] * vX_[367] + vX_[3581] * vX_[354]) + vX_[2091] * vX_[369] + vX_[5309] * vX_[274] +
+ vX_[4027] * vX_[355] + vX_[4749] * vX_[830]);
+ vX_[5282] = vX_[4596] + vX_[5282] * vX_[354] + vX_[6118] * vX_[273];
+ vX_[1299] = 0 - (vX_[5282] + vX_[1299] * vX_[355] + vX_[4369] * vX_[369] + vX_[4725] * vX_[830]);
+ vX_[5321] =
+ 0 - (vX_[5321] + vX_[4998] * vX_[355] + vX_[4994] * vX_[369] + vX_[4725] * vX_[915] + vX_[4761] * vX_[830]);
+ vX_[5296] =
+ vX_[5262] + vX_[5296] * vX_[355] + vX_[4991] * vX_[369] * 2. + vX_[4725] * vX_[841] + vX_[4763] * vX_[830];
+ vX_[5262] = 0 - vX_[5296];
+ vX_[5305] =
+ (vX_[1299] * vX_[325] + vX_[5305] * vX_[316] + vX_[5321] * vX_[376] + vX_[5262] * vX_[385]) * 1 / vX_[351];
+ vX_[1299] = 0 - vX_[5320] + vX_[4757] * vX_[1466] + vX_[4027] * vX_[364] + vX_[1299] * vX_[352] + vX_[5305];
+ vX_[4725] = 0 - vX_[5308];
+ vX_[4994] = vX_[4994] + vX_[4761] * vX_[841] + vX_[4763] * vX_[915];
+ vX_[4998] = 0 - vX_[4994];
+ vX_[4991] = vX_[4991] + vX_[4763] * vX_[841];
+ vX_[4369] = 0 - vX_[4991];
+ vX_[6118] = vX_[4369] * vX_[385] * 1 / vX_[351];
+ vX_[4369] = vX_[4764] * vX_[1466] + vX_[4725] * vX_[364] + vX_[5262] * vX_[352] + vX_[5295] * vX_[379] +
+ vX_[4998] * vX_[538] + vX_[4369] * vX_[547] + vX_[6118];
+ vX_[5262] = 0 - vX_[5320];
+ vX_[2858] = vX_[2858] + vX_[4761] * vX_[915];
+ vX_[5295] = 0 - vX_[2858];
+ vX_[4998] = (vX_[5295] * vX_[376] + vX_[4998] * vX_[385]) * 1 / vX_[351];
+ vX_[5295] = vX_[4762] * vX_[1466] + vX_[5262] * vX_[364] + vX_[5321] * vX_[352] + vX_[3831] * vX_[379] +
+ vX_[5295] * vX_[538] + vX_[4998];
+ vX_[5282] = vX_[4751] + vX_[4163] + vX_[4596] - vX_[5282] - vX_[4101] + vX_[2040] * vX_[355] + vX_[5306] * vX_[274];
+ vX_[4101] = vX_[5282] - vX_[5267];
+ vX_[5306] = vX_[4101] * vX_[304] + vX_[5301] * vX_[276];
+ vX_[2040] = vX_[4101] * vX_[276] + vX_[5301] * vX_[303];
+ vX_[5282] = 0 - vX_[5282];
+ vX_[5262] = (vX_[5282] * vX_[363] + vX_[4027] * vX_[325] + vX_[4109] * vX_[316] + vX_[5262] * vX_[376] +
+ vX_[4725] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[5282] = vX_[4753] * vX_[1466] + vX_[5282] * vX_[364] + vX_[5262];
+ vX_[4725] = vX_[5322] * vX_[276] + vX_[5282] * vX_[304];
+ vX_[4027] = vX_[5322] * vX_[303] + vX_[5282] * vX_[276];
+ vX_[5296] = vX_[4076] - vX_[5296];
+ vX_[5262] = 0 - vX_[4753] * vX_[3742] - vX_[4757] * vX_[1778] - vX_[4759] * vX_[1404] - vX_[4760] * vX_[1304] +
+ vX_[4760] * vX_[1466] - vX_[4762] * vX_[1395] - vX_[4764] * vX_[1237] - vX_[5262] * vX_[364] -
+ vX_[5305] * vX_[352] - vX_[5263] * vX_[379] - vX_[4998] * vX_[538] - vX_[6118] * vX_[547];
+ vX_[4998] = 0 - vX_[4991] + vX_[5262];
+ vX_[6118] = vX_[4998] * vX_[304] + vX_[4369] * vX_[276];
+ vX_[5305] = vX_[4998] * vX_[276] + vX_[4369] * vX_[303];
+ vX_[5263] = vX_[6118] * vX_[276] + vX_[5305] * vX_[304];
+ vX_[4764] = vX_[4991] + vX_[6118] * vX_[304];
+ vX_[4762] = vX_[4991] + vX_[5305] * vX_[276];
+ vX_[5262] = vX_[2858] + vX_[4991] + vX_[5262] - vX_[4764] - vX_[4762];
+ vX_[2858] = 0 - vX_[5262];
+ vX_[4991] = vX_[5320] * vX_[304] + vX_[4076] * vX_[276];
+ vX_[4760] = vX_[4991] + vX_[2858] * vX_[317];
+ vX_[4759] = 0 - vX_[4760];
+ vX_[4991] = 0 - (vX_[5296] * vX_[276] + vX_[1299] * vX_[303]) + vX_[4991];
+ vX_[4757] = vX_[5320] * vX_[276] + vX_[4076] * vX_[303];
+ vX_[4753] = vX_[4757] + vX_[5262] * vX_[321];
+ vX_[4109] = 0 - vX_[4753];
+ vX_[5321] = 0 - (vX_[4994] * vX_[276] + vX_[5295] * vX_[303]) + vX_[4994] * vX_[276] * 2.;
+ vX_[3831] = 0 - vX_[5321];
+ vX_[3581] = vX_[4994] * vX_[304] + vX_[5295] * vX_[276] + vX_[4994] * vX_[303] * 2.;
+ vX_[4107] = 0 - vX_[3581];
+ vX_[4800] = vX_[4800] * vX_[2057];
+ vX_[4799] = vX_[4799] * vX_[2057] + vX_[4793] * vX_[1596];
+ vX_[4793] = 0 - vX_[4799];
+ vX_[4794] = vX_[4794] * vX_[1596];
+ vX_[5309] = 0 - vX_[4809];
+ vX_[2091] = vX_[5309] * x_in[19] + vX_[1928] * x_in[20];
+ vX_[1355] = vX_[4889] * x_in[29];
+ vX_[6123] = 0 - vX_[1355];
+ vX_[5270] = vX_[4889] * x_in[28];
+ vX_[5003] = 0 - vX_[5270];
+ vX_[4819] = vX_[4792] * vX_[2045] + vX_[4819] * vX_[2050];
+ vX_[4820] = vX_[4820] * vX_[1562];
+ vX_[4792] = 0 - vX_[4762];
+ vX_[4757] = vX_[5296] * vX_[304] + vX_[1299] * vX_[276] + vX_[4757];
+ vX_[5302] = 0 - vX_[5263];
+ vX_[1656] = 0 - vX_[4762];
+ vX_[1307] = 0 - vX_[4800] - vX_[4794];
+ vX_[4363] = 0 - vX_[4819];
+ vX_[6141] = 0 - vX_[2091] - vX_[4820];
+ jac[385] =
+ 0 -
+ (vX_[4758] * vX_[1240] + vX_[4763] * vX_[923] + vX_[5301] * vX_[359] + vX_[5322] * vX_[309] +
+ vX_[4076] * vX_[372] + vX_[3837] * vX_[384] + vX_[5034] * vX_[313] + vX_[1687] * vX_[302] +
+ vX_[1299] * vX_[320] + vX_[4369] * vX_[347] + vX_[4994] * vX_[592] + vX_[5295] * vX_[375] +
+ vX_[7402] * vX_[1126] + vX_[5711] * vX_[1130] - (vX_[4749] * vX_[1550] + vX_[5735] * vX_[1767]) +
+ (vX_[4761] * vX_[1550] + vX_[5735] * vX_[1274]) * 0.08 -
+ (vX_[4765] * vX_[1155] + vX_[4101] * vX_[361] + vX_[5306] * vX_[360] + vX_[2040] * vX_[330] +
+ vX_[5320] * vX_[319] + vX_[5308] * vX_[383] + vX_[5282] * vX_[315] + vX_[4725] * vX_[314] +
+ vX_[4027] * vX_[308] + vX_[5296] * vX_[323] + vX_[4998] * vX_[349] + vX_[4994] * vX_[373] +
+ vX_[6118] * vX_[299] + vX_[5305] * vX_[346] +
+ (vX_[5263] * vX_[322] + vX_[2858] * vX_[332] + vX_[4764] * vX_[318] + vX_[4759] * vX_[328] +
+ (vX_[4991] + vX_[4764] * vX_[317]) * 4.027 + vX_[4109] * vX_[330] + vX_[3831] * vX_[314] +
+ vX_[4107] * vX_[313] + vX_[5263] * vX_[297] + vX_[4764] * vX_[348]) *
+ 0.08 +
+ vX_[5693] * vX_[1026]) +
+ vX_[5290] * vX_[1391] + vX_[5292] * vX_[354] - vX_[4800] * vX_[279] + vX_[4801] * 0.35 +
+ vX_[5304] * vX_[1636] + vX_[5317] * vX_[1634] + vX_[4783] * vX_[1410] + vX_[3671] * vX_[1408] +
+ vX_[7032] * vX_[1582] + vX_[5316] * vX_[1599] + vX_[4793] * vX_[277] + vX_[24] * vX_[1645] +
+ vX_[1142] * vX_[1641] + vX_[3346] * vX_[1420] + vX_[5688] * vX_[1416] + vX_[6879] * vX_[1588] +
+ vX_[3715] * vX_[273] + vX_[5279] * vX_[354] - vX_[4794] * vX_[279] + vX_[4796] * vX_[1448] +
+ vX_[8790] * vX_[1446] + vX_[4804] * vX_[1595] + vX_[4795] * vX_[1593] + vX_[4126] * vX_[1497] +
+ vX_[4857] * vX_[1495] + vX_[5272] * vX_[1516] + vX_[2091] * vX_[1473] * -0.33 + vX_[5736] * vX_[1531] +
+ vX_[5709] * vX_[1523] + vX_[5268] * vX_[1529] + vX_[5001] * vX_[1474] + vX_[5277] * vX_[1484] +
+ vX_[4578] * vX_[1471] + vX_[3701] * vX_[1482] + vX_[5687] * vX_[1478] + vX_[6123] * vX_[277] * 0.33 +
+ (0 - vX_[5270]) * 0.35 + vX_[5003] * vX_[277] * 0.33 + vX_[4946] * vX_[1568] + vX_[2] * vX_[1566] +
+ vX_[2479] * vX_[1559] + vX_[4562] * vX_[1512] + (vX_[4819] * vX_[279] + vX_[4820] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[4758] * vX_[1550] + vX_[5735] * vX_[1126]) - (vX_[4749] * vX_[1240] + vX_[7402] * vX_[1767]) +
+ (vX_[4761] * vX_[1240] + vX_[5262] * vX_[331] + vX_[4792] * vX_[322] + vX_[4760] * vX_[330] +
+ vX_[4753] * vX_[329] + (0 - (vX_[4757] + vX_[5263] * vX_[317] + vX_[4792] * vX_[321])) * 4.027 +
+ vX_[5321] * vX_[308] + vX_[3581] * vX_[302] + vX_[5302] * vX_[310] + vX_[1656] * vX_[342] +
+ vX_[7402] * vX_[1274]) *
+ 0.08 -
+ (vX_[4765] * vX_[923] + vX_[4763] * vX_[1155] + vX_[4101] * vX_[359] + vX_[5301] * vX_[361] +
+ vX_[5306] * vX_[330] + vX_[2040] * vX_[358] + vX_[5320] * vX_[372] + vX_[5322] * vX_[315] +
+ vX_[5308] * vX_[384] + vX_[4076] * vX_[319] + vX_[5282] * vX_[309] + vX_[3837] * vX_[383] +
+ vX_[4725] * vX_[313] + vX_[4027] * vX_[302] + vX_[5034] * vX_[314] + vX_[1687] * vX_[308] +
+ vX_[5296] * vX_[320] + vX_[1299] * vX_[323] + vX_[4998] * vX_[347] + vX_[4369] * vX_[349] +
+ vX_[4994] * vX_[374] + vX_[4994] * vX_[375] + vX_[5295] * vX_[373] + vX_[6118] * vX_[346] +
+ vX_[5305] * vX_[343] + vX_[5693] * vX_[1130] + vX_[5711] * vX_[1026]) +
+ vX_[5695] * vX_[273] + vX_[4384] * vX_[1630] + vX_[4784] * vX_[1403] + vX_[5304] * vX_[1637] +
+ vX_[5288] * vX_[1633] + vX_[4783] * vX_[1411] + vX_[5692] * vX_[1407] + vX_[7025] * vX_[1584] +
+ vX_[4799] * vX_[279] + vX_[24] * vX_[1644] + vX_[1142] * vX_[1642] + vX_[3346] * vX_[1419] +
+ vX_[5688] * vX_[1417] + vX_[6599] * vX_[1584] + vX_[5707] * vX_[273] + vX_[5274] * vX_[354] +
+ vX_[1307] * vX_[277] + vX_[4779] * vX_[1444] + (0 - vX_[4819]) * 0.35 + vX_[4363] * vX_[277] * 0.33 +
+ vX_[5310] * vX_[1493] + vX_[5269] * vX_[1514] + (0 - vX_[2091]) * 0.35 + vX_[4787] * vX_[1533] +
+ vX_[5723] * vX_[1525] + vX_[3684] * vX_[1478] + vX_[4851] * vX_[1471] + vX_[5278] * vX_[1486] +
+ vX_[5275] * vX_[1476] + vX_[4986] * vX_[1474] + vX_[5691] * vX_[1480] + vX_[1355] * vX_[1473] * 0.33 +
+ vX_[5270] * vX_[1473] * 0.33 + vX_[5293] * vX_[1564] + vX_[4836] * vX_[1557] + (0 - vX_[4820]) * 0.35 +
+ vX_[6141] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[2410] = vX_[2498] * vX_[354] + vX_[4065] * vX_[273] + vX_[2073] * vX_[369] + vX_[4890] * vX_[355] +
+ vX_[2410] * vX_[274] + vX_[5178] * vX_[840];
+ vX_[4890] = 0 - vX_[2410];
+ vX_[4149] = 0 - (vX_[4845] * vX_[367] + vX_[4665] * vX_[354] + vX_[4494] * vX_[273] + vX_[1450] * vX_[274] +
+ vX_[4149] * vX_[355] + vX_[4428] * vX_[369] + vX_[5154] * vX_[840] + vX_[5187] * vX_[830]);
+ vX_[4850] = vX_[5025] + vX_[4850] * vX_[367] + vX_[4494] * vX_[354];
+ vX_[2094] = vX_[4850] + vX_[2094] * vX_[274] + vX_[2264] * vX_[369] + vX_[5187] * vX_[840];
+ vX_[2264] = 0 - vX_[2094];
+ vX_[4887] =
+ vX_[2097] + vX_[4887] * vX_[274] + vX_[2453] * vX_[369] * 2. + vX_[5187] * vX_[915] + vX_[5190] * vX_[840];
+ vX_[2453] = 0 - vX_[4887];
+ vX_[4881] = vX_[2428] + vX_[4964] * vX_[274] + vX_[4881] * vX_[369] + vX_[5187] * vX_[841] + vX_[5192] * vX_[840];
+ vX_[2428] = 0 - vX_[4881];
+ vX_[4964] = (vX_[2264] * vX_[316] + vX_[2453] * vX_[376] + vX_[2428] * vX_[385]) * 1 / vX_[351];
+ vX_[2264] = vX_[5188] * vX_[1466] + vX_[4890] * vX_[364] + vX_[4149] * vX_[352] + vX_[2264] * vX_[379] + vX_[4964];
+ vX_[2251] = vX_[1762] + vX_[4834] * vX_[355] + vX_[2251] * vX_[274] * 2. + vX_[5178] * vX_[841];
+ vX_[1762] = vX_[2251] * vX_[304] + vX_[4881] * vX_[276];
+ vX_[2097] = vX_[2251] * vX_[276] + vX_[4881] * vX_[303];
+ vX_[2477] = vX_[2061] + vX_[2477] * vX_[274] + vX_[4867] * vX_[355] * 2. + vX_[5178] * vX_[915];
+ vX_[4888] = 0 - (0 - (vX_[2498] * vX_[367] + vX_[4073] * vX_[354]) + vX_[2105] * vX_[369] + vX_[4859] * vX_[274] +
+ vX_[4888] * vX_[355] + vX_[5178] * vX_[830]);
+ vX_[4845] = vX_[5025] + vX_[4845] * vX_[354] + vX_[1346] * vX_[273];
+ vX_[4422] = 0 - (vX_[4845] + vX_[4422] * vX_[355] + vX_[2508] * vX_[369] + vX_[5154] * vX_[830]);
+ vX_[4460] =
+ 0 - (vX_[4460] + vX_[4891] * vX_[355] + vX_[4834] * vX_[369] + vX_[5154] * vX_[915] + vX_[5190] * vX_[830]);
+ vX_[4858] =
+ vX_[2337] + vX_[4858] * vX_[355] + vX_[4872] * vX_[369] * 2. + vX_[5154] * vX_[841] + vX_[5192] * vX_[830];
+ vX_[2337] = 0 - vX_[4858];
+ vX_[4149] =
+ (vX_[4422] * vX_[325] + vX_[4149] * vX_[316] + vX_[4460] * vX_[376] + vX_[2337] * vX_[385]) * 1 / vX_[351];
+ vX_[4422] = 0 - vX_[2477] + vX_[5186] * vX_[1466] + vX_[4888] * vX_[364] + vX_[4422] * vX_[352] + vX_[4149];
+ vX_[5154] = 0 - vX_[2251];
+ vX_[4834] = vX_[4834] + vX_[5190] * vX_[841] + vX_[5192] * vX_[915];
+ vX_[4891] = 0 - vX_[4834];
+ vX_[4872] = vX_[4872] + vX_[5192] * vX_[841];
+ vX_[2508] = 0 - vX_[4872];
+ vX_[1346] = vX_[2508] * vX_[385] * 1 / vX_[351];
+ vX_[2508] = vX_[5193] * vX_[1466] + vX_[5154] * vX_[364] + vX_[2337] * vX_[352] + vX_[2428] * vX_[379] +
+ vX_[4891] * vX_[538] + vX_[2508] * vX_[547] + vX_[1346];
+ vX_[2337] = 0 - vX_[2477];
+ vX_[4867] = vX_[4867] + vX_[5190] * vX_[915];
+ vX_[2428] = 0 - vX_[4867];
+ vX_[4891] = (vX_[2428] * vX_[376] + vX_[4891] * vX_[385]) * 1 / vX_[351];
+ vX_[2428] = vX_[5191] * vX_[1466] + vX_[2337] * vX_[364] + vX_[4460] * vX_[352] + vX_[2453] * vX_[379] +
+ vX_[2428] * vX_[538] + vX_[4891];
+ vX_[4845] = vX_[2755] + vX_[4592] + vX_[5025] - vX_[4845] - vX_[4850] + vX_[2068] * vX_[355] + vX_[4875] * vX_[274];
+ vX_[4850] = vX_[4845] - vX_[2094];
+ vX_[4875] = vX_[4850] * vX_[304] + vX_[2410] * vX_[276];
+ vX_[2068] = vX_[4850] * vX_[276] + vX_[2410] * vX_[303];
+ vX_[4845] = 0 - vX_[4845];
+ vX_[2337] = (vX_[4845] * vX_[363] + vX_[4888] * vX_[325] + vX_[4890] * vX_[316] + vX_[2337] * vX_[376] +
+ vX_[5154] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[4845] = vX_[5182] * vX_[1466] + vX_[4845] * vX_[364] + vX_[2337];
+ vX_[5154] = vX_[2264] * vX_[276] + vX_[4845] * vX_[304];
+ vX_[4888] = vX_[2264] * vX_[303] + vX_[4845] * vX_[276];
+ vX_[4858] = vX_[4887] - vX_[4858];
+ vX_[2337] = 0 - vX_[5182] * vX_[3742] - vX_[5186] * vX_[1778] - vX_[5188] * vX_[1404] - vX_[5189] * vX_[1304] +
+ vX_[5189] * vX_[1466] - vX_[5191] * vX_[1395] - vX_[5193] * vX_[1237] - vX_[2337] * vX_[364] -
+ vX_[4149] * vX_[352] - vX_[4964] * vX_[379] - vX_[4891] * vX_[538] - vX_[1346] * vX_[547];
+ vX_[4891] = 0 - vX_[4872] + vX_[2337];
+ vX_[1346] = vX_[4891] * vX_[304] + vX_[2508] * vX_[276];
+ vX_[4149] = vX_[4891] * vX_[276] + vX_[2508] * vX_[303];
+ vX_[4964] = vX_[1346] * vX_[276] + vX_[4149] * vX_[304];
+ vX_[5193] = vX_[4872] + vX_[1346] * vX_[304];
+ vX_[5191] = vX_[4872] + vX_[4149] * vX_[276];
+ vX_[2337] = vX_[4867] + vX_[4872] + vX_[2337] - vX_[5193] - vX_[5191];
+ vX_[4867] = 0 - vX_[2337];
+ vX_[4872] = vX_[2477] * vX_[304] + vX_[4887] * vX_[276];
+ vX_[5189] = vX_[4872] + vX_[4867] * vX_[317];
+ vX_[5188] = 0 - vX_[5189];
+ vX_[4872] = 0 - (vX_[4858] * vX_[276] + vX_[4422] * vX_[303]) + vX_[4872];
+ vX_[5186] = vX_[2477] * vX_[276] + vX_[4887] * vX_[303];
+ vX_[5182] = vX_[5186] + vX_[2337] * vX_[321];
+ vX_[4890] = 0 - vX_[5182];
+ vX_[4460] = 0 - (vX_[4834] * vX_[276] + vX_[2428] * vX_[303]) + vX_[4834] * vX_[276] * 2.;
+ vX_[2453] = 0 - vX_[4460];
+ vX_[4073] = vX_[4834] * vX_[304] + vX_[2428] * vX_[276] + vX_[4834] * vX_[303] * 2.;
+ vX_[2498] = 0 - vX_[4073];
+ vX_[5229] = vX_[5229] * vX_[2057];
+ vX_[5228] = vX_[5228] * vX_[2057] + vX_[5222] * vX_[1596];
+ vX_[5222] = 0 - vX_[5228];
+ vX_[5223] = vX_[5223] * vX_[1596];
+ vX_[4859] = 0 - vX_[5238];
+ vX_[2105] = vX_[4859] * x_in[19] + vX_[4843] * x_in[20];
+ vX_[2061] = vX_[4839] * x_in[29];
+ vX_[4494] = 0 - vX_[2061];
+ vX_[4665] = vX_[4839] * x_in[28];
+ vX_[1450] = 0 - vX_[4665];
+ vX_[5248] = vX_[5221] * vX_[2045] + vX_[5248] * vX_[2050];
+ vX_[5249] = vX_[5249] * vX_[1562];
+ vX_[5221] = 0 - vX_[5191];
+ vX_[5186] = vX_[4858] * vX_[304] + vX_[4422] * vX_[276] + vX_[5186];
+ vX_[4428] = 0 - vX_[4964];
+ vX_[2073] = 0 - vX_[5191];
+ vX_[4065] = 0 - vX_[5229] - vX_[5223];
+ vX_[4792] = 0 - vX_[5248];
+ vX_[2858] = 0 - vX_[2105] - vX_[5249];
+ jac[386] =
+ 0 -
+ (vX_[5187] * vX_[1240] + vX_[5192] * vX_[923] + vX_[2410] * vX_[359] + vX_[2264] * vX_[309] +
+ vX_[4887] * vX_[372] + vX_[4881] * vX_[384] + vX_[1762] * vX_[313] + vX_[2097] * vX_[302] +
+ vX_[4422] * vX_[320] + vX_[2508] * vX_[347] + vX_[4834] * vX_[592] + vX_[2428] * vX_[375] +
+ vX_[6308] * vX_[1126] + vX_[2605] * vX_[1130] - (vX_[5178] * vX_[1550] + vX_[4724] * vX_[1767]) +
+ (vX_[5190] * vX_[1550] + vX_[4724] * vX_[1274]) * 0.08 -
+ (vX_[5194] * vX_[1155] + vX_[4850] * vX_[361] + vX_[4875] * vX_[360] + vX_[2068] * vX_[330] +
+ vX_[2477] * vX_[319] + vX_[2251] * vX_[383] + vX_[4845] * vX_[315] + vX_[5154] * vX_[314] +
+ vX_[4888] * vX_[308] + vX_[4858] * vX_[323] + vX_[4891] * vX_[349] + vX_[4834] * vX_[373] +
+ vX_[1346] * vX_[299] + vX_[4149] * vX_[346] +
+ (vX_[4964] * vX_[322] + vX_[4867] * vX_[332] + vX_[5193] * vX_[318] + vX_[5188] * vX_[328] +
+ (vX_[4872] + vX_[5193] * vX_[317]) * 4.027 + vX_[4890] * vX_[330] + vX_[2453] * vX_[314] +
+ vX_[2498] * vX_[313] + vX_[4964] * vX_[297] + vX_[5193] * vX_[348]) *
+ 0.08 +
+ vX_[2665] * vX_[1026]) +
+ vX_[4500] * vX_[1391] + vX_[4683] * vX_[354] - vX_[5229] * vX_[279] + vX_[5230] * 0.35 +
+ vX_[4407] * vX_[1636] + vX_[5400] * vX_[1634] + vX_[5212] * vX_[1410] + vX_[439] * vX_[1408] +
+ vX_[6120] * vX_[1582] + vX_[5512] * vX_[1599] + vX_[5222] * vX_[277] + vX_[5658] * vX_[1645] +
+ vX_[4810] * vX_[1641] + vX_[4935] * vX_[1420] + vX_[2678] * vX_[1416] + vX_[8765] * vX_[1588] +
+ vX_[4542] * vX_[273] + vX_[5785] * vX_[354] - vX_[5223] * vX_[279] + vX_[5225] * vX_[1448] +
+ vX_[6135] * vX_[1446] + vX_[5233] * vX_[1595] + vX_[5224] * vX_[1593] + vX_[4848] * vX_[1497] +
+ vX_[4846] * vX_[1495] + vX_[4682] * vX_[1516] + vX_[2105] * vX_[1473] * -0.33 + vX_[4564] * vX_[1531] +
+ vX_[4556] * vX_[1523] + vX_[4664] * vX_[1529] + vX_[4143] * vX_[1474] + vX_[4755] * vX_[1484] +
+ vX_[5749] * vX_[1471] + vX_[4568] * vX_[1482] + vX_[4838] * vX_[1478] + vX_[4494] * vX_[277] * 0.33 +
+ (0 - vX_[4665]) * 0.35 + vX_[1450] * vX_[277] * 0.33 + vX_[5375] * vX_[1568] + vX_[4555] * vX_[1566] +
+ vX_[5513] * vX_[1559] + vX_[4173] * vX_[1512] + (vX_[5248] * vX_[279] + vX_[5249] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[5187] * vX_[1550] + vX_[4724] * vX_[1126]) - (vX_[5178] * vX_[1240] + vX_[6308] * vX_[1767]) +
+ (vX_[5190] * vX_[1240] + vX_[2337] * vX_[331] + vX_[5221] * vX_[322] + vX_[5189] * vX_[330] +
+ vX_[5182] * vX_[329] + (0 - (vX_[5186] + vX_[4964] * vX_[317] + vX_[5221] * vX_[321])) * 4.027 +
+ vX_[4460] * vX_[308] + vX_[4073] * vX_[302] + vX_[4428] * vX_[310] + vX_[2073] * vX_[342] +
+ vX_[6308] * vX_[1274]) *
+ 0.08 -
+ (vX_[5194] * vX_[923] + vX_[5192] * vX_[1155] + vX_[4850] * vX_[359] + vX_[2410] * vX_[361] +
+ vX_[4875] * vX_[330] + vX_[2068] * vX_[358] + vX_[2477] * vX_[372] + vX_[2264] * vX_[315] +
+ vX_[2251] * vX_[384] + vX_[4887] * vX_[319] + vX_[4845] * vX_[309] + vX_[4881] * vX_[383] +
+ vX_[5154] * vX_[313] + vX_[4888] * vX_[302] + vX_[1762] * vX_[314] + vX_[2097] * vX_[308] +
+ vX_[4858] * vX_[320] + vX_[4422] * vX_[323] + vX_[4891] * vX_[347] + vX_[2508] * vX_[349] +
+ vX_[4834] * vX_[374] + vX_[4834] * vX_[375] + vX_[2428] * vX_[373] + vX_[1346] * vX_[346] +
+ vX_[4149] * vX_[343] + vX_[2665] * vX_[1130] + vX_[2605] * vX_[1026]) +
+ vX_[2483] * vX_[273] + vX_[4813] * vX_[1630] + vX_[5213] * vX_[1403] + vX_[4407] * vX_[1637] +
+ vX_[5385] * vX_[1633] + vX_[5212] * vX_[1411] + vX_[2610] * vX_[1407] + vX_[8799] * vX_[1584] +
+ vX_[5228] * vX_[279] + vX_[5658] * vX_[1644] + vX_[4810] * vX_[1642] + vX_[4935] * vX_[1419] +
+ vX_[2678] * vX_[1417] + vX_[8360] * vX_[1584] + vX_[4603] * vX_[273] + vX_[5677] * vX_[354] +
+ vX_[4065] * vX_[277] + vX_[5208] * vX_[1444] + (0 - vX_[5248]) * 0.35 + vX_[4792] * vX_[277] * 0.33 +
+ vX_[4571] * vX_[1493] + vX_[4902] * vX_[1514] + (0 - vX_[2105]) * 0.35 + vX_[5216] * vX_[1533] +
+ vX_[2811] * vX_[1525] + vX_[1686] * vX_[1478] + vX_[5168] * vX_[1471] + vX_[4502] * vX_[1486] +
+ vX_[4176] * vX_[1476] + vX_[4506] * vX_[1474] + vX_[4798] * vX_[1480] + vX_[2061] * vX_[1473] * 0.33 +
+ vX_[4665] * vX_[1473] * 0.33 + vX_[4829] * vX_[1564] + vX_[4464] * vX_[1557] + (0 - vX_[5249]) * 0.35 +
+ vX_[2858] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[4417] = vX_[5771] * vX_[354] + vX_[4861] * vX_[273] + vX_[4550] * vX_[369] + vX_[4536] * vX_[355] +
+ vX_[4417] * vX_[274] + vX_[5597] * vX_[840];
+ vX_[4536] = vX_[1361] * vX_[4518] + vX_[274] * vX_[4368] + vX_[1360] * vX_[5604] + vX_[354] * vX_[4013] +
+ vX_[1359] * vX_[4885] + vX_[840];
+ vX_[4550] = 0 - vX_[4417];
+ vX_[3987] = 0 - (vX_[3989] * vX_[367] + vX_[5352] * vX_[354] + vX_[2443] * vX_[273] + vX_[4490] * vX_[274] +
+ vX_[3987] * vX_[355] + vX_[3992] * vX_[369] + vX_[5573] * vX_[840] + vX_[5606] * vX_[830]);
+ vX_[5603] = vX_[5444] + vX_[5603] * vX_[367] + vX_[2443] * vX_[354];
+ vX_[4447] = vX_[5603] + vX_[4447] * vX_[274] + vX_[4416] * vX_[369] + vX_[5606] * vX_[840];
+ vX_[4416] = 0 - vX_[4447];
+ vX_[5762] =
+ vX_[4458] + vX_[5762] * vX_[274] + vX_[6461] * vX_[369] * 2. + vX_[5606] * vX_[915] + vX_[5609] * vX_[840];
+ vX_[6461] = 0 - vX_[5762];
+ vX_[6227] = vX_[4418] + vX_[4414] * vX_[274] + vX_[6227] * vX_[369] + vX_[5606] * vX_[841] + vX_[5611] * vX_[840];
+ vX_[4418] = 0 - vX_[6227];
+ vX_[4414] = (vX_[4416] * vX_[316] + vX_[6461] * vX_[376] + vX_[4418] * vX_[385]) * 1 / vX_[351];
+ vX_[4416] = vX_[5416] * vX_[4536] + vX_[5607] * vX_[1466] + vX_[4550] * vX_[364] + vX_[3987] * vX_[352] +
+ vX_[4416] * vX_[379] + vX_[4414];
+ vX_[3990] = vX_[4432] + vX_[5368] * vX_[355] + vX_[3990] * vX_[274] * 2. + vX_[5597] * vX_[841];
+ vX_[4432] = vX_[3990] * vX_[304] + vX_[6227] * vX_[276];
+ vX_[5416] = vX_[3990] * vX_[276] + vX_[6227] * vX_[303];
+ vX_[5358] = vX_[4435] + vX_[5358] * vX_[274] + vX_[4399] * vX_[355] * 2. + vX_[5597] * vX_[915];
+ vX_[4435] = vX_[366] * vX_[4518] + vX_[1341] * vX_[4368] + vX_[368] * vX_[5604] + vX_[273] * vX_[4013] +
+ vX_[354] * vX_[4885] + vX_[830];
+ vX_[5530] = 0 - (0 - (vX_[5771] * vX_[367] + vX_[4863] * vX_[354]) + vX_[4446] * vX_[369] + vX_[6662] * vX_[274] +
+ vX_[5530] * vX_[355] + vX_[5597] * vX_[830]);
+ vX_[3989] = vX_[5444] + vX_[3989] * vX_[354] + vX_[4866] * vX_[273];
+ vX_[3986] = 0 - (vX_[3989] + vX_[3986] * vX_[355] + vX_[4410] * vX_[369] + vX_[5573] * vX_[830]);
+ vX_[4420] =
+ 0 - (vX_[4420] + vX_[4487] * vX_[355] + vX_[5368] * vX_[369] + vX_[5573] * vX_[915] + vX_[5609] * vX_[830]);
+ vX_[4419] =
+ vX_[4415] + vX_[4419] * vX_[355] + vX_[4045] * vX_[369] * 2. + vX_[5573] * vX_[841] + vX_[5611] * vX_[830];
+ vX_[4415] = 0 - vX_[4419];
+ vX_[3987] =
+ (vX_[3986] * vX_[325] + vX_[3987] * vX_[316] + vX_[4420] * vX_[376] + vX_[4415] * vX_[385]) * 1 / vX_[351];
+ vX_[3986] = 0 - vX_[5358] + vX_[5414] * vX_[4435] + vX_[5605] * vX_[1466] + vX_[5530] * vX_[364] +
+ vX_[3986] * vX_[352] + vX_[3987];
+ vX_[5414] = vX_[367] * vX_[5604] + vX_[354] * vX_[4518] + vX_[841];
+ vX_[5573] = 0 - vX_[3990];
+ vX_[5368] = vX_[5368] + vX_[5609] * vX_[841] + vX_[5611] * vX_[915];
+ vX_[4487] = 0 - vX_[5368];
+ vX_[4045] = vX_[4045] + vX_[5611] * vX_[841];
+ vX_[4410] = 0 - vX_[4045];
+ vX_[4866] = vX_[4410] * vX_[385] * 1 / vX_[351];
+ vX_[4410] = vX_[5422] * vX_[5414] + vX_[5612] * vX_[1466] + vX_[5573] * vX_[364] + vX_[4415] * vX_[352] +
+ vX_[4418] * vX_[379] + vX_[4487] * vX_[538] + vX_[4410] * vX_[547] + vX_[4866];
+ vX_[4415] = vX_[354] * vX_[5604] + vX_[273] * vX_[4518] + vX_[915];
+ vX_[4418] = 0 - vX_[5358];
+ vX_[4399] = vX_[4399] + vX_[5609] * vX_[915];
+ vX_[5422] = 0 - vX_[4399];
+ vX_[4487] = (vX_[5422] * vX_[376] + vX_[4487] * vX_[385]) * 1 / vX_[351];
+ vX_[5422] = vX_[5420] * vX_[4415] + vX_[5610] * vX_[1466] + vX_[4418] * vX_[364] + vX_[4420] * vX_[352] +
+ vX_[6461] * vX_[379] + vX_[5422] * vX_[538] + vX_[4487];
+ vX_[3989] = vX_[1977] + vX_[5021] + vX_[5444] - vX_[3989] - vX_[5603] + vX_[4412] * vX_[355] + vX_[6663] * vX_[274];
+ vX_[5603] = vX_[3989] - vX_[4447];
+ vX_[6663] = vX_[5603] * vX_[304] + vX_[4417] * vX_[276];
+ vX_[4412] = vX_[5603] * vX_[276] + vX_[4417] * vX_[303];
+ vX_[4420] = 0.207 * vX_[5604] + vX_[1647];
+ vX_[3989] = 0 - vX_[3989];
+ vX_[4418] = (vX_[3989] * vX_[363] + vX_[5530] * vX_[325] + vX_[4550] * vX_[316] + vX_[4418] * vX_[376] +
+ vX_[5573] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[3989] = vX_[5426] * vX_[4420] + vX_[5601] * vX_[1466] + vX_[3989] * vX_[364] + vX_[4418];
+ vX_[5426] = vX_[4416] * vX_[276] + vX_[3989] * vX_[304];
+ vX_[5573] = vX_[4416] * vX_[303] + vX_[3989] * vX_[276];
+ vX_[4419] = vX_[5762] - vX_[4419];
+ vX_[5530] = (vX_[1466] - vX_[351] * vX_[4368] - vX_[376] * vX_[4415] - vX_[385] * vX_[5414] - vX_[363] * vX_[4420] -
+ vX_[325] * vX_[4435] - vX_[316] * vX_[4536]) /
+ vX_[351];
+ vX_[4418] = 0 - vX_[5413] * vX_[5530] + vX_[5418] * vX_[4368] - vX_[5601] * vX_[3742] - vX_[5605] * vX_[1778] -
+ vX_[5607] * vX_[1404] - vX_[5608] * vX_[1304] + vX_[5608] * vX_[1466] - vX_[5610] * vX_[1395] -
+ vX_[5612] * vX_[1237] - vX_[4418] * vX_[364] - vX_[3987] * vX_[352] - vX_[4414] * vX_[379] -
+ vX_[4487] * vX_[538] - vX_[4866] * vX_[547];
+ vX_[4487] = 0 - vX_[4045] + vX_[4418];
+ vX_[4866] = vX_[4487] * vX_[304] + vX_[4410] * vX_[276];
+ vX_[3987] = vX_[4487] * vX_[276] + vX_[4410] * vX_[303];
+ vX_[4414] = vX_[4866] * vX_[276] + vX_[3987] * vX_[304];
+ vX_[5612] = vX_[4045] + vX_[4866] * vX_[304];
+ vX_[5610] = vX_[4045] + vX_[3987] * vX_[276];
+ vX_[4418] = vX_[4399] + vX_[4045] + vX_[4418] - vX_[5612] - vX_[5610];
+ vX_[4399] = 0 - vX_[4418];
+ vX_[4045] = vX_[5358] * vX_[304] + vX_[5762] * vX_[276];
+ vX_[5608] = vX_[4045] + vX_[4399] * vX_[317];
+ vX_[5607] = 0 - vX_[5608];
+ vX_[4045] = 0 - (vX_[4419] * vX_[276] + vX_[3986] * vX_[303]) + vX_[4045];
+ vX_[5605] = vX_[5358] * vX_[276] + vX_[5762] * vX_[303];
+ vX_[5601] = vX_[5605] + vX_[4418] * vX_[321];
+ vX_[5418] = 0 - vX_[5601];
+ vX_[5413] = 0 - (vX_[5368] * vX_[276] + vX_[5422] * vX_[303]) + vX_[5368] * vX_[276] * 2.;
+ vX_[4550] = 0 - vX_[5413];
+ vX_[6461] = vX_[5368] * vX_[304] + vX_[5422] * vX_[276] + vX_[5368] * vX_[303] * 2.;
+ vX_[5420] = 0 - vX_[6461];
+ vX_[5648] = vX_[5648] * vX_[2057];
+ vX_[5647] = vX_[5647] * vX_[2057] + vX_[5641] * vX_[1596];
+ vX_[5641] = 0 - vX_[5647];
+ vX_[5642] = vX_[5642] * vX_[1596];
+ vX_[4863] = 0 - vX_[5657];
+ vX_[5771] = vX_[4863] * x_in[19] + vX_[5166] * x_in[20];
+ vX_[6662] = vX_[5360] * x_in[29];
+ vX_[4446] = 0 - vX_[6662];
+ vX_[4458] = vX_[5360] * x_in[28];
+ vX_[2443] = 0 - vX_[4458];
+ vX_[5667] = vX_[5640] * vX_[2045] + vX_[5667] * vX_[2050];
+ vX_[5668] = vX_[5668] * vX_[1562];
+ vX_[5640] = 0 - vX_[5610];
+ vX_[5605] = vX_[4419] * vX_[304] + vX_[3986] * vX_[276] + vX_[5605];
+ vX_[5352] = 0 - vX_[4414];
+ vX_[4490] = 0 - vX_[5610];
+ vX_[3992] = 0 - vX_[5648] - vX_[5642];
+ vX_[4861] = 0 - vX_[5667];
+ vX_[5221] = 0 - vX_[5771] - vX_[5668];
+ jac[387] =
+ 0 -
+ (vX_[5606] * vX_[1240] + vX_[5611] * vX_[923] + vX_[4417] * vX_[359] + vX_[4416] * vX_[309] +
+ vX_[5762] * vX_[372] + vX_[6227] * vX_[384] + vX_[4432] * vX_[313] + vX_[5416] * vX_[302] +
+ vX_[3986] * vX_[320] + vX_[4410] * vX_[347] + vX_[5368] * vX_[592] + vX_[5422] * vX_[375] +
+ vX_[8340] * vX_[1126] + vX_[4404] * vX_[1130] - (vX_[5597] * vX_[1550] + vX_[4437] * vX_[1767]) +
+ (vX_[5609] * vX_[1550] + vX_[4437] * vX_[1274]) * 0.08 -
+ (vX_[5613] * vX_[1155] + vX_[5603] * vX_[361] + vX_[6663] * vX_[360] + vX_[4412] * vX_[330] +
+ vX_[5358] * vX_[319] + vX_[3990] * vX_[383] + vX_[3989] * vX_[315] + vX_[5426] * vX_[314] +
+ vX_[5573] * vX_[308] + vX_[4419] * vX_[323] + vX_[4487] * vX_[349] + vX_[5368] * vX_[373] +
+ vX_[4866] * vX_[299] + vX_[3987] * vX_[346] +
+ (vX_[4414] * vX_[322] + vX_[4399] * vX_[332] + vX_[5612] * vX_[318] + vX_[5607] * vX_[328] +
+ (vX_[4045] + vX_[5612] * vX_[317]) * 4.027 + vX_[5418] * vX_[330] + vX_[4550] * vX_[314] +
+ vX_[5420] * vX_[313] + vX_[4414] * vX_[297] + vX_[5612] * vX_[348]) *
+ 0.08 +
+ vX_[2866] * vX_[1026]) +
+ vX_[4048] * vX_[1391] + vX_[4023] * vX_[354] - vX_[5648] * vX_[279] + vX_[5649] * 0.35 +
+ vX_[4022] * vX_[1636] + vX_[4029] * vX_[1634] + vX_[5631] * vX_[1410] + vX_[4443] * vX_[1408] +
+ vX_[1663] * vX_[1582] + vX_[4939] * vX_[1599] + vX_[5641] * vX_[277] + vX_[4948] * vX_[1645] +
+ vX_[4797] * vX_[1641] + vX_[4444] * vX_[1420] + vX_[2887] * vX_[1416] + vX_[5002] * vX_[1588] +
+ vX_[4141] * vX_[273] + vX_[4870] * vX_[354] - vX_[5642] * vX_[279] + vX_[5644] * vX_[1448] +
+ vX_[2911] * vX_[1446] + vX_[5652] * vX_[1595] + vX_[5643] * vX_[1593] + vX_[6616] * vX_[1497] +
+ vX_[3758] * vX_[1495] + vX_[4033] * vX_[1516] + vX_[5771] * vX_[1473] * -0.33 + vX_[4438] * vX_[1531] +
+ vX_[4402] * vX_[1523] + vX_[4975] * vX_[1529] + vX_[5240] * vX_[1474] + vX_[4046] * vX_[1484] +
+ vX_[3649] * vX_[1471] + vX_[2867] * vX_[1482] + vX_[2895] * vX_[1478] + vX_[4446] * vX_[277] * 0.33 +
+ (0 - vX_[4458]) * 0.35 + vX_[2443] * vX_[277] * 0.33 + vX_[5794] * vX_[1568] + vX_[5788] * vX_[1566] +
+ vX_[4014] * vX_[1559] + vX_[5253] * vX_[1512] + (vX_[5667] * vX_[279] + vX_[5668] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[5606] * vX_[1550] + vX_[4437] * vX_[1126]) - (vX_[5597] * vX_[1240] + vX_[8340] * vX_[1767]) +
+ (vX_[5609] * vX_[1240] + vX_[4418] * vX_[331] + vX_[5640] * vX_[322] + vX_[5608] * vX_[330] +
+ vX_[5601] * vX_[329] + (0 - (vX_[5605] + vX_[4414] * vX_[317] + vX_[5640] * vX_[321])) * 4.027 +
+ vX_[5413] * vX_[308] + vX_[6461] * vX_[302] + vX_[5352] * vX_[310] + vX_[4490] * vX_[342] +
+ vX_[8340] * vX_[1274]) *
+ 0.08 -
+ (vX_[5613] * vX_[923] + vX_[5611] * vX_[1155] + vX_[5603] * vX_[359] + vX_[4417] * vX_[361] +
+ vX_[6663] * vX_[330] + vX_[4412] * vX_[358] + vX_[5358] * vX_[372] + vX_[4416] * vX_[315] +
+ vX_[3990] * vX_[384] + vX_[5762] * vX_[319] + vX_[3989] * vX_[309] + vX_[6227] * vX_[383] +
+ vX_[5426] * vX_[313] + vX_[5573] * vX_[302] + vX_[4432] * vX_[314] + vX_[5416] * vX_[308] +
+ vX_[4419] * vX_[320] + vX_[3986] * vX_[323] + vX_[4487] * vX_[347] + vX_[4410] * vX_[349] +
+ vX_[5368] * vX_[374] + vX_[5368] * vX_[375] + vX_[5422] * vX_[373] + vX_[4866] * vX_[346] +
+ vX_[3987] * vX_[343] + vX_[2866] * vX_[1130] + vX_[4404] * vX_[1026]) +
+ vX_[2900] * vX_[273] + vX_[5242] * vX_[1630] + vX_[5632] * vX_[1403] + vX_[4022] * vX_[1637] +
+ vX_[4028] * vX_[1633] + vX_[5631] * vX_[1411] + vX_[2871] * vX_[1407] + vX_[4174] * vX_[1584] +
+ vX_[5647] * vX_[279] + vX_[4948] * vX_[1644] + vX_[4797] * vX_[1642] + vX_[4444] * vX_[1419] +
+ vX_[2887] * vX_[1417] + vX_[5032] * vX_[1584] + vX_[4463] * vX_[273] + vX_[4960] * vX_[354] +
+ vX_[3992] * vX_[277] + vX_[5627] * vX_[1444] + (0 - vX_[5667]) * 0.35 + vX_[4861] * vX_[277] * 0.33 +
+ vX_[4049] * vX_[1493] + vX_[4036] * vX_[1514] + (0 - vX_[5771]) * 0.35 + vX_[5635] * vX_[1533] +
+ vX_[4405] * vX_[1525] + vX_[2864] * vX_[1478] + vX_[5408] * vX_[1471] + vX_[4035] * vX_[1486] +
+ vX_[4009] * vX_[1476] + vX_[5344] * vX_[1474] + vX_[2885] * vX_[1480] + vX_[6662] * vX_[1473] * 0.33 +
+ vX_[4458] * vX_[1473] * 0.33 + vX_[5362] * vX_[1564] + vX_[5313] * vX_[1557] + (0 - vX_[5668]) * 0.35 +
+ vX_[5221] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[6224] = vX_[3640] * vX_[354] + vX_[3611] * vX_[273] + vX_[7422] * vX_[369] + vX_[6161] * vX_[355] +
+ vX_[6224] * vX_[274] + vX_[6026] * vX_[840];
+ vX_[6161] = 0 - vX_[6224];
+ vX_[3211] = 0 - (vX_[5955] * vX_[367] + vX_[6191] * vX_[354] + vX_[4411] * vX_[273] + vX_[6535] * vX_[274] +
+ vX_[3211] * vX_[355] + vX_[3590] * vX_[369] + vX_[6002] * vX_[840] + vX_[6035] * vX_[830]);
+ vX_[6015] = vX_[5873] + vX_[6015] * vX_[367] + vX_[4411] * vX_[354];
+ vX_[7502] = vX_[6015] + vX_[7502] * vX_[274] + vX_[6462] * vX_[369] + vX_[6035] * vX_[840];
+ vX_[6462] = 0 - vX_[7502];
+ vX_[5827] =
+ vX_[6653] + vX_[5827] * vX_[274] + vX_[3652] * vX_[369] * 2. + vX_[6035] * vX_[915] + vX_[6038] * vX_[840];
+ vX_[3652] = 0 - vX_[5827];
+ vX_[3591] = vX_[6229] + vX_[7487] * vX_[274] + vX_[3591] * vX_[369] + vX_[6035] * vX_[841] + vX_[6040] * vX_[840];
+ vX_[6229] = 0 - vX_[3591];
+ vX_[7487] = (vX_[6462] * vX_[316] + vX_[3652] * vX_[376] + vX_[6229] * vX_[385]) * 1 / vX_[351];
+ vX_[6462] = vX_[5845] * vX_[4536] + vX_[6036] * vX_[1466] + vX_[6161] * vX_[364] + vX_[3211] * vX_[352] +
+ vX_[6462] * vX_[379] + vX_[7487];
+ vX_[5941] = vX_[6457] + vX_[3596] * vX_[355] + vX_[5941] * vX_[274] * 2. + vX_[6026] * vX_[841];
+ vX_[6457] = vX_[5941] * vX_[304] + vX_[3591] * vX_[276];
+ vX_[5845] = vX_[5941] * vX_[276] + vX_[3591] * vX_[303];
+ vX_[5829] = vX_[3205] + vX_[5829] * vX_[274] + vX_[7376] * vX_[355] * 2. + vX_[6026] * vX_[915];
+ vX_[5813] = 0 - (0 - (vX_[3640] * vX_[367] + vX_[6357] * vX_[354]) + vX_[6231] * vX_[369] + vX_[5816] * vX_[274] +
+ vX_[5813] * vX_[355] + vX_[6026] * vX_[830]);
+ vX_[5955] = vX_[5873] + vX_[5955] * vX_[354] + vX_[4381] * vX_[273];
+ vX_[6182] = 0 - (vX_[5955] + vX_[6182] * vX_[355] + vX_[3362] * vX_[369] + vX_[6002] * vX_[830]);
+ vX_[3653] =
+ 0 - (vX_[3653] + vX_[6530] * vX_[355] + vX_[3596] * vX_[369] + vX_[6002] * vX_[915] + vX_[6038] * vX_[830]);
+ vX_[6650] =
+ vX_[6776] + vX_[6650] * vX_[355] + vX_[7471] * vX_[369] * 2. + vX_[6002] * vX_[841] + vX_[6040] * vX_[830];
+ vX_[6776] = 0 - vX_[6650];
+ vX_[3211] =
+ (vX_[6182] * vX_[325] + vX_[3211] * vX_[316] + vX_[3653] * vX_[376] + vX_[6776] * vX_[385]) * 1 / vX_[351];
+ vX_[6182] = 0 - vX_[5829] + vX_[5839] * vX_[4435] + vX_[6034] * vX_[1466] + vX_[5813] * vX_[364] +
+ vX_[6182] * vX_[352] + vX_[3211];
+ vX_[5839] = 0 - vX_[5941];
+ vX_[3596] = vX_[3596] + vX_[6038] * vX_[841] + vX_[6040] * vX_[915];
+ vX_[6002] = 0 - vX_[3596];
+ vX_[7471] = vX_[7471] + vX_[6040] * vX_[841];
+ vX_[6530] = 0 - vX_[7471];
+ vX_[3362] = vX_[6530] * vX_[385] * 1 / vX_[351];
+ vX_[6530] = vX_[5851] * vX_[5414] + vX_[6041] * vX_[1466] + vX_[5839] * vX_[364] + vX_[6776] * vX_[352] +
+ vX_[6229] * vX_[379] + vX_[6002] * vX_[538] + vX_[6530] * vX_[547] + vX_[3362];
+ vX_[6776] = 0 - vX_[5829];
+ vX_[7376] = vX_[7376] + vX_[6038] * vX_[915];
+ vX_[6229] = 0 - vX_[7376];
+ vX_[6002] = (vX_[6229] * vX_[376] + vX_[6002] * vX_[385]) * 1 / vX_[351];
+ vX_[6229] = vX_[5849] * vX_[4415] + vX_[6039] * vX_[1466] + vX_[6776] * vX_[364] + vX_[3653] * vX_[352] +
+ vX_[3652] * vX_[379] + vX_[6229] * vX_[538] + vX_[6002];
+ vX_[3653] = vX_[4368] + vX_[5530];
+ vX_[5955] = vX_[3726] + vX_[5440] + vX_[5873] - vX_[5955] - vX_[6015] + vX_[7470] * vX_[355] + vX_[5808] * vX_[274];
+ vX_[6015] = vX_[5955] - vX_[7502];
+ vX_[5808] = vX_[6015] * vX_[304] + vX_[6224] * vX_[276];
+ vX_[7470] = vX_[6015] * vX_[276] + vX_[6224] * vX_[303];
+ vX_[5955] = 0 - vX_[5955];
+ vX_[6776] = (vX_[5955] * vX_[363] + vX_[5813] * vX_[325] + vX_[6161] * vX_[316] + vX_[6776] * vX_[376] +
+ vX_[5839] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[5955] = vX_[5855] * vX_[4420] + vX_[6030] * vX_[1466] + vX_[5955] * vX_[364] + vX_[6776];
+ vX_[5855] = vX_[6462] * vX_[276] + vX_[5955] * vX_[304];
+ vX_[5839] = vX_[6462] * vX_[303] + vX_[5955] * vX_[276];
+ vX_[6650] = vX_[5827] - vX_[6650];
+ vX_[6776] = 0 - vX_[5838] * vX_[5530] + vX_[5847] * vX_[4368] - vX_[6030] * vX_[3742] - vX_[6034] * vX_[1778] -
+ vX_[6036] * vX_[1404] - vX_[6037] * vX_[1304] + vX_[6037] * vX_[1466] - vX_[6039] * vX_[1395] -
+ vX_[6041] * vX_[1237] - vX_[6776] * vX_[364] - vX_[3211] * vX_[352] - vX_[7487] * vX_[379] -
+ vX_[6002] * vX_[538] - vX_[3362] * vX_[547];
+ vX_[6002] = 0 - vX_[7471] + vX_[6776];
+ vX_[3362] = vX_[6002] * vX_[304] + vX_[6530] * vX_[276];
+ vX_[3211] = vX_[6002] * vX_[276] + vX_[6530] * vX_[303];
+ vX_[7487] = vX_[3362] * vX_[276] + vX_[3211] * vX_[304];
+ vX_[6041] = vX_[7471] + vX_[3362] * vX_[304];
+ vX_[6039] = vX_[7471] + vX_[3211] * vX_[276];
+ vX_[6776] = vX_[7376] + vX_[7471] + vX_[6776] - vX_[6041] - vX_[6039];
+ vX_[7376] = 0 - vX_[6776];
+ vX_[7471] = vX_[5829] * vX_[304] + vX_[5827] * vX_[276];
+ vX_[6037] = vX_[7471] + vX_[7376] * vX_[317];
+ vX_[6036] = 0 - vX_[6037];
+ vX_[7471] = 0 - (vX_[6650] * vX_[276] + vX_[6182] * vX_[303]) + vX_[7471];
+ vX_[6034] = vX_[5829] * vX_[276] + vX_[5827] * vX_[303];
+ vX_[6030] = vX_[6034] + vX_[6776] * vX_[321];
+ vX_[5847] = 0 - vX_[6030];
+ vX_[5838] = 0 - (vX_[3596] * vX_[276] + vX_[6229] * vX_[303]) + vX_[3596] * vX_[276] * 2.;
+ vX_[5813] = 0 - vX_[5838];
+ vX_[6161] = vX_[3596] * vX_[304] + vX_[6229] * vX_[276] + vX_[3596] * vX_[303] * 2.;
+ vX_[3652] = 0 - vX_[6161];
+ vX_[6077] = vX_[6077] * vX_[2057];
+ vX_[6076] = vX_[6076] * vX_[2057] + vX_[6070] * vX_[1596];
+ vX_[6070] = 0 - vX_[6076];
+ vX_[6071] = vX_[6071] * vX_[1596];
+ vX_[5849] = 0 - vX_[6086];
+ vX_[5851] = vX_[5849] * x_in[19] + vX_[3639] * x_in[20];
+ vX_[4381] = vX_[6087] * x_in[29];
+ vX_[6357] = 0 - vX_[4381];
+ vX_[3640] = vX_[6087] * x_in[28];
+ vX_[5816] = 0 - vX_[3640];
+ vX_[6096] = vX_[6069] * vX_[2045] + vX_[6096] * vX_[2050];
+ vX_[6097] = vX_[6097] * vX_[1562];
+ vX_[6069] = 0 - vX_[6039];
+ vX_[6034] = vX_[6650] * vX_[304] + vX_[6182] * vX_[276] + vX_[6034];
+ vX_[6231] = 0 - vX_[7487];
+ vX_[3205] = 0 - vX_[6039];
+ vX_[6653] = 0 - vX_[6077] - vX_[6071];
+ vX_[4411] = 0 - vX_[6096];
+ vX_[6191] = 0 - vX_[5851] - vX_[6097];
+ jac[388] =
+ 0 -
+ (vX_[5844] * vX_[4536] + vX_[5836] * vX_[5414] + vX_[6035] * vX_[1240] + vX_[6040] * vX_[923] +
+ vX_[6224] * vX_[359] + vX_[6462] * vX_[309] + vX_[5827] * vX_[372] + vX_[3591] * vX_[384] +
+ vX_[6457] * vX_[313] + vX_[5845] * vX_[302] + vX_[6182] * vX_[320] + vX_[6530] * vX_[347] +
+ vX_[3596] * vX_[592] + vX_[6229] * vX_[375] + vX_[1998] * vX_[1126] + vX_[5415] * vX_[1130] -
+ (vX_[5842] * vX_[4420] + vX_[6026] * vX_[1550] + vX_[4020] * vX_[1767]) +
+ (vX_[5842] * vX_[4415] + vX_[6038] * vX_[1550] + vX_[4020] * vX_[1274]) * 0.08 -
+ (vX_[5834] * vX_[3653] + vX_[6042] * vX_[1155] + vX_[6015] * vX_[361] + vX_[5808] * vX_[360] +
+ vX_[7470] * vX_[330] + vX_[5829] * vX_[319] + vX_[5941] * vX_[383] + vX_[5955] * vX_[315] +
+ vX_[5855] * vX_[314] + vX_[5839] * vX_[308] + vX_[6650] * vX_[323] + vX_[6002] * vX_[349] +
+ vX_[3596] * vX_[373] + vX_[3362] * vX_[299] + vX_[3211] * vX_[346] +
+ (vX_[7487] * vX_[322] + vX_[7376] * vX_[332] + vX_[6041] * vX_[318] + vX_[6036] * vX_[328] +
+ (vX_[7471] + vX_[6041] * vX_[317]) * 4.027 + vX_[5847] * vX_[330] + vX_[5813] * vX_[314] +
+ vX_[3652] * vX_[313] + vX_[7487] * vX_[297] + vX_[6041] * vX_[348]) *
+ 0.08 +
+ vX_[4019] * vX_[1026]) +
+ vX_[3641] * vX_[1391] + vX_[6217] * vX_[354] - vX_[6077] * vX_[279] + vX_[6078] * 0.35 +
+ vX_[3624] * vX_[1636] + vX_[6444] * vX_[1634] + vX_[6060] * vX_[1410] + vX_[3997] * vX_[1408] +
+ vX_[4879] * vX_[1582] + vX_[3636] * vX_[1599] + vX_[6070] * vX_[277] + vX_[3621] * vX_[1645] +
+ vX_[3623] * vX_[1641] + vX_[5411] * vX_[1420] + vX_[4043] * vX_[1416] + vX_[2100] * vX_[1588] +
+ vX_[5423] * vX_[273] + vX_[3647] * vX_[354] - vX_[6071] * vX_[279] + vX_[6073] * vX_[1448] +
+ vX_[4570] * vX_[1446] + vX_[6081] * vX_[1595] + vX_[6072] * vX_[1593] + vX_[6160] * vX_[1497] +
+ vX_[6001] * vX_[1495] + vX_[6214] * vX_[1516] + vX_[5851] * vX_[1473] * -0.33 + vX_[5356] * vX_[1531] +
+ vX_[5417] * vX_[1523] + vX_[6384] * vX_[1529] + vX_[3609] * vX_[1474] + vX_[3603] * vX_[1484] +
+ vX_[3190] * vX_[1471] + vX_[4017] * vX_[1482] + vX_[5383] * vX_[1478] + vX_[6357] * vX_[277] * 0.33 +
+ (0 - vX_[3640]) * 0.35 + vX_[5816] * vX_[277] * 0.33 + vX_[6223] * vX_[1568] + vX_[3243] * vX_[1566] +
+ vX_[8062] * vX_[1559] + vX_[8304] * vX_[1512] + (vX_[6096] * vX_[279] + vX_[6097] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[5842] * vX_[4536] + vX_[6035] * vX_[1550] + vX_[4020] * vX_[1126]) -
+ (vX_[5844] * vX_[4420] + vX_[6026] * vX_[1240] + vX_[1998] * vX_[1767]) +
+ (vX_[5844] * vX_[4415] + vX_[6038] * vX_[1240] + vX_[6776] * vX_[331] + vX_[6069] * vX_[322] +
+ vX_[6037] * vX_[330] + vX_[6030] * vX_[329] +
+ (0 - (vX_[6034] + vX_[7487] * vX_[317] + vX_[6069] * vX_[321])) * 4.027 + vX_[5838] * vX_[308] +
+ vX_[6161] * vX_[302] + vX_[6231] * vX_[310] + vX_[3205] * vX_[342] + vX_[1998] * vX_[1274]) *
+ 0.08 -
+ (vX_[5834] * vX_[5414] + vX_[5836] * vX_[3653] + vX_[6042] * vX_[923] + vX_[6040] * vX_[1155] +
+ vX_[6015] * vX_[359] + vX_[6224] * vX_[361] + vX_[5808] * vX_[330] + vX_[7470] * vX_[358] +
+ vX_[5829] * vX_[372] + vX_[6462] * vX_[315] + vX_[5941] * vX_[384] + vX_[5827] * vX_[319] +
+ vX_[5955] * vX_[309] + vX_[3591] * vX_[383] + vX_[5855] * vX_[313] + vX_[5839] * vX_[302] +
+ vX_[6457] * vX_[314] + vX_[5845] * vX_[308] + vX_[6650] * vX_[320] + vX_[6182] * vX_[323] +
+ vX_[6002] * vX_[347] + vX_[6530] * vX_[349] + vX_[3596] * vX_[374] + vX_[3596] * vX_[375] +
+ vX_[6229] * vX_[373] + vX_[3362] * vX_[346] + vX_[3211] * vX_[343] + vX_[4019] * vX_[1130] +
+ vX_[5415] * vX_[1026]) +
+ vX_[5404] * vX_[273] + vX_[5661] * vX_[1630] + vX_[6061] * vX_[1403] + vX_[3624] * vX_[1637] +
+ vX_[3601] * vX_[1633] + vX_[6060] * vX_[1411] + vX_[4015] * vX_[1407] + vX_[4880] * vX_[1584] +
+ vX_[6076] * vX_[279] + vX_[3621] * vX_[1644] + vX_[3623] * vX_[1642] + vX_[5411] * vX_[1419] +
+ vX_[4043] * vX_[1417] + vX_[4831] * vX_[1584] + vX_[4037] * vX_[273] + vX_[3648] * vX_[354] +
+ vX_[6653] * vX_[277] + vX_[6056] * vX_[1444] + (0 - vX_[6096]) * 0.35 + vX_[4411] * vX_[277] * 0.33 +
+ vX_[6389] * vX_[1493] + vX_[6370] * vX_[1514] + (0 - vX_[5851]) * 0.35 + vX_[6064] * vX_[1533] +
+ vX_[3617] * vX_[1525] + vX_[4032] * vX_[1478] + vX_[3606] * vX_[1471] + vX_[3604] * vX_[1486] +
+ vX_[3599] * vX_[1476] + vX_[3607] * vX_[1474] + vX_[4044] * vX_[1480] + vX_[4381] * vX_[1473] * 0.33 +
+ vX_[3640] * vX_[1473] * 0.33 + vX_[3618] * vX_[1564] + vX_[8313] * vX_[1557] + (0 - vX_[6097]) * 0.35 +
+ vX_[6191] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[7033] = vX_[7363] * vX_[354] + vX_[5806] * vX_[273] + vX_[6685] * vX_[369] + vX_[3233] * vX_[355] +
+ vX_[7033] * vX_[274] + vX_[6455] * vX_[840];
+ vX_[3233] = 0 - vX_[7033];
+ vX_[1257] = 0 - (vX_[7380] * vX_[367] + vX_[1971] * vX_[354] + vX_[7436] * vX_[273] + vX_[3227] * vX_[274] +
+ vX_[1257] * vX_[355] + vX_[7052] * vX_[369] + vX_[6431] * vX_[840] + vX_[6464] * vX_[830]);
+ vX_[3199] = vX_[6302] + vX_[3199] * vX_[367] + vX_[7436] * vX_[354];
+ vX_[6790] = vX_[3199] + vX_[6790] * vX_[274] + vX_[3244] * vX_[369] + vX_[6464] * vX_[840];
+ vX_[3244] = 0 - vX_[6790];
+ vX_[3242] =
+ vX_[3234] + vX_[3242] * vX_[274] + vX_[3235] * vX_[369] * 2. + vX_[6464] * vX_[915] + vX_[6467] * vX_[840];
+ vX_[3235] = 0 - vX_[3242];
+ vX_[2784] = vX_[3212] + vX_[7024] * vX_[274] + vX_[2784] * vX_[369] + vX_[6464] * vX_[841] + vX_[6469] * vX_[840];
+ vX_[3212] = 0 - vX_[2784];
+ vX_[7024] = (vX_[3244] * vX_[316] + vX_[3235] * vX_[376] + vX_[3212] * vX_[385]) * 1 / vX_[351];
+ vX_[3244] = vX_[6275] * vX_[4536] + vX_[6465] * vX_[1466] + vX_[3233] * vX_[364] + vX_[1257] * vX_[352] +
+ vX_[3244] * vX_[379] + vX_[7024];
+ vX_[7234] = vX_[6789] + vX_[3184] * vX_[355] + vX_[7234] * vX_[274] * 2. + vX_[6455] * vX_[841];
+ vX_[6789] = vX_[7234] * vX_[304] + vX_[2784] * vX_[276];
+ vX_[6275] = vX_[7234] * vX_[276] + vX_[2784] * vX_[303];
+ vX_[3241] = vX_[6684] + vX_[3241] * vX_[274] + vX_[3246] * vX_[355] * 2. + vX_[6455] * vX_[915];
+ vX_[3213] = 0 - (0 - (vX_[7363] * vX_[367] + vX_[5809] * vX_[354]) + vX_[6864] * vX_[369] + vX_[3229] * vX_[274] +
+ vX_[3213] * vX_[355] + vX_[6455] * vX_[830]);
+ vX_[7380] = vX_[6302] + vX_[7380] * vX_[354] + vX_[7435] * vX_[273];
+ vX_[946] = 0 - (vX_[7380] + vX_[946] * vX_[355] + vX_[7064] * vX_[369] + vX_[6431] * vX_[830]);
+ vX_[7364] =
+ 0 - (vX_[7364] + vX_[6935] * vX_[355] + vX_[3184] * vX_[369] + vX_[6431] * vX_[915] + vX_[6467] * vX_[830]);
+ vX_[2816] =
+ vX_[3207] + vX_[2816] * vX_[355] + vX_[3220] * vX_[369] * 2. + vX_[6431] * vX_[841] + vX_[6469] * vX_[830];
+ vX_[3207] = 0 - vX_[2816];
+ vX_[1257] =
+ (vX_[946] * vX_[325] + vX_[1257] * vX_[316] + vX_[7364] * vX_[376] + vX_[3207] * vX_[385]) * 1 / vX_[351];
+ vX_[946] = 0 - vX_[3241] + vX_[6269] * vX_[4435] + vX_[6463] * vX_[1466] + vX_[3213] * vX_[364] +
+ vX_[946] * vX_[352] + vX_[1257];
+ vX_[4435] = 0 - vX_[7234];
+ vX_[3184] = vX_[3184] + vX_[6467] * vX_[841] + vX_[6469] * vX_[915];
+ vX_[6269] = 0 - vX_[3184];
+ vX_[3220] = vX_[3220] + vX_[6469] * vX_[841];
+ vX_[6431] = 0 - vX_[3220];
+ vX_[6935] = vX_[6431] * vX_[385] * 1 / vX_[351];
+ vX_[6431] = vX_[6280] * vX_[5414] + vX_[6470] * vX_[1466] + vX_[4435] * vX_[364] + vX_[3207] * vX_[352] +
+ vX_[3212] * vX_[379] + vX_[6269] * vX_[538] + vX_[6431] * vX_[547] + vX_[6935];
+ vX_[3207] = 0 - vX_[3241];
+ vX_[3246] = vX_[3246] + vX_[6467] * vX_[915];
+ vX_[3212] = 0 - vX_[3246];
+ vX_[6269] = (vX_[3212] * vX_[376] + vX_[6269] * vX_[385]) * 1 / vX_[351];
+ vX_[3212] = vX_[6279] * vX_[4415] + vX_[6468] * vX_[1466] + vX_[3207] * vX_[364] + vX_[7364] * vX_[352] +
+ vX_[3235] * vX_[379] + vX_[3212] * vX_[538] + vX_[6269];
+ vX_[7380] = vX_[1310] + vX_[5869] + vX_[6302] - vX_[7380] - vX_[3199] + vX_[6671] * vX_[355] + vX_[3217] * vX_[274];
+ vX_[3199] = vX_[7380] - vX_[6790];
+ vX_[3217] = vX_[3199] * vX_[304] + vX_[7033] * vX_[276];
+ vX_[6671] = vX_[3199] * vX_[276] + vX_[7033] * vX_[303];
+ vX_[7380] = 0 - vX_[7380];
+ vX_[3207] = (vX_[7380] * vX_[363] + vX_[3213] * vX_[325] + vX_[3233] * vX_[316] + vX_[3207] * vX_[376] +
+ vX_[4435] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[7380] = vX_[6284] * vX_[4420] + vX_[6459] * vX_[1466] + vX_[7380] * vX_[364] + vX_[3207];
+ vX_[6284] = vX_[3244] * vX_[276] + vX_[7380] * vX_[304];
+ vX_[4435] = vX_[3244] * vX_[303] + vX_[7380] * vX_[276];
+ vX_[2816] = vX_[3242] - vX_[2816];
+ vX_[3207] = 0 - vX_[6268] * vX_[5530] + vX_[6277] * vX_[4368] - vX_[6459] * vX_[3742] - vX_[6463] * vX_[1778] -
+ vX_[6465] * vX_[1404] - vX_[6466] * vX_[1304] + vX_[6466] * vX_[1466] - vX_[6468] * vX_[1395] -
+ vX_[6470] * vX_[1237] - vX_[3207] * vX_[364] - vX_[1257] * vX_[352] - vX_[7024] * vX_[379] -
+ vX_[6269] * vX_[538] - vX_[6935] * vX_[547];
+ vX_[6269] = 0 - vX_[3220] + vX_[3207];
+ vX_[6935] = vX_[6269] * vX_[304] + vX_[6431] * vX_[276];
+ vX_[1257] = vX_[6269] * vX_[276] + vX_[6431] * vX_[303];
+ vX_[7024] = vX_[6935] * vX_[276] + vX_[1257] * vX_[304];
+ vX_[5530] = vX_[3220] + vX_[6935] * vX_[304];
+ vX_[6470] = vX_[3220] + vX_[1257] * vX_[276];
+ vX_[3207] = vX_[3246] + vX_[3220] + vX_[3207] - vX_[5530] - vX_[6470];
+ vX_[3246] = 0 - vX_[3207];
+ vX_[3220] = vX_[3241] * vX_[304] + vX_[3242] * vX_[276];
+ vX_[6468] = vX_[3220] + vX_[3246] * vX_[317];
+ vX_[6466] = 0 - vX_[6468];
+ vX_[3220] = 0 - (vX_[2816] * vX_[276] + vX_[946] * vX_[303]) + vX_[3220];
+ vX_[6465] = vX_[3241] * vX_[276] + vX_[3242] * vX_[303];
+ vX_[6463] = vX_[6465] + vX_[3207] * vX_[321];
+ vX_[6459] = 0 - vX_[6463];
+ vX_[6277] = 0 - (vX_[3184] * vX_[276] + vX_[3212] * vX_[303]) + vX_[3184] * vX_[276] * 2.;
+ vX_[6268] = 0 - vX_[6277];
+ vX_[3213] = vX_[3184] * vX_[304] + vX_[3212] * vX_[276] + vX_[3184] * vX_[303] * 2.;
+ vX_[3233] = 0 - vX_[3213];
+ vX_[6506] = vX_[6506] * vX_[2057];
+ vX_[6505] = vX_[6505] * vX_[2057] + vX_[6499] * vX_[1596];
+ vX_[6499] = 0 - vX_[6505];
+ vX_[6500] = vX_[6500] * vX_[1596];
+ vX_[7364] = 0 - vX_[6515];
+ vX_[3235] = vX_[7364] * x_in[19] + vX_[3198] * x_in[20];
+ vX_[6279] = vX_[3194] * x_in[29];
+ vX_[6280] = 0 - vX_[6279];
+ vX_[7064] = vX_[3194] * x_in[28];
+ vX_[7435] = 0 - vX_[7064];
+ vX_[6525] = vX_[6498] * vX_[2045] + vX_[6525] * vX_[2050];
+ vX_[6526] = vX_[6526] * vX_[1562];
+ vX_[6498] = 0 - vX_[6470];
+ vX_[6465] = vX_[2816] * vX_[304] + vX_[946] * vX_[276] + vX_[6465];
+ vX_[5809] = 0 - vX_[7024];
+ vX_[7363] = 0 - vX_[6470];
+ vX_[3229] = 0 - vX_[6506] - vX_[6500];
+ vX_[6864] = 0 - vX_[6525];
+ vX_[6684] = 0 - vX_[3235] - vX_[6526];
+ jac[389] =
+ 0 -
+ (vX_[6274] * vX_[4536] + vX_[6266] * vX_[5414] + vX_[6464] * vX_[1240] + vX_[6469] * vX_[923] +
+ vX_[7033] * vX_[359] + vX_[3244] * vX_[309] + vX_[3242] * vX_[372] + vX_[2784] * vX_[384] +
+ vX_[6789] * vX_[313] + vX_[6275] * vX_[302] + vX_[946] * vX_[320] + vX_[6431] * vX_[347] +
+ vX_[3184] * vX_[592] + vX_[3212] * vX_[375] + vX_[4830] * vX_[1126] + vX_[5840] * vX_[1130] -
+ (vX_[6272] * vX_[4420] + vX_[6455] * vX_[1550] + vX_[2778] * vX_[1767]) +
+ (vX_[6272] * vX_[4415] + vX_[6467] * vX_[1550] + vX_[2778] * vX_[1274]) * 0.08 -
+ (vX_[6264] * vX_[3653] + vX_[6471] * vX_[1155] + vX_[3199] * vX_[361] + vX_[3217] * vX_[360] +
+ vX_[6671] * vX_[330] + vX_[3241] * vX_[319] + vX_[7234] * vX_[383] + vX_[7380] * vX_[315] +
+ vX_[6284] * vX_[314] + vX_[4435] * vX_[308] + vX_[2816] * vX_[323] + vX_[6269] * vX_[349] +
+ vX_[3184] * vX_[373] + vX_[6935] * vX_[299] + vX_[1257] * vX_[346] +
+ (vX_[7024] * vX_[322] + vX_[3246] * vX_[332] + vX_[5530] * vX_[318] + vX_[6466] * vX_[328] +
+ (vX_[3220] + vX_[5530] * vX_[317]) * 4.027 + vX_[6459] * vX_[330] + vX_[6268] * vX_[314] +
+ vX_[3233] * vX_[313] + vX_[7024] * vX_[297] + vX_[5530] * vX_[348]) *
+ 0.08 +
+ vX_[7485] * vX_[1026]) +
+ vX_[2530] * vX_[1391] + vX_[8306] * vX_[354] - vX_[6506] * vX_[279] + vX_[6507] * 0.35 +
+ vX_[2378] * vX_[1636] + vX_[2935] * vX_[1634] + vX_[6489] * vX_[1410] + vX_[8331] * vX_[1408] +
+ vX_[4549] * vX_[1582] + vX_[2927] * vX_[1599] + vX_[6499] * vX_[277] + vX_[8303] * vX_[1645] +
+ vX_[8345] * vX_[1641] + vX_[8369] * vX_[1420] + vX_[7521] * vX_[1416] + vX_[4434] * vX_[1588] +
+ vX_[5852] * vX_[273] + vX_[8377] * vX_[354] - vX_[6500] * vX_[279] + vX_[6502] * vX_[1448] +
+ vX_[4308] * vX_[1446] + vX_[6510] * vX_[1595] + vX_[6501] * vX_[1593] + vX_[3203] * vX_[1497] +
+ vX_[3201] * vX_[1495] + vX_[8317] * vX_[1516] + vX_[3235] * vX_[1473] * -0.33 + vX_[7203] * vX_[1531] +
+ vX_[5846] * vX_[1523] + vX_[7897] * vX_[1529] + vX_[2820] * vX_[1474] + vX_[1251] * vX_[1484] +
+ vX_[2757] * vX_[1471] + vX_[7453] * vX_[1482] + vX_[3187] * vX_[1478] + vX_[6280] * vX_[277] * 0.33 +
+ (0 - vX_[7064]) * 0.35 + vX_[7435] * vX_[277] * 0.33 + vX_[6652] * vX_[1568] + vX_[2763] * vX_[1566] +
+ vX_[2758] * vX_[1559] + vX_[2819] * vX_[1512] + (vX_[6525] * vX_[279] + vX_[6526] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[6272] * vX_[4536] + vX_[6464] * vX_[1550] + vX_[2778] * vX_[1126]) -
+ (vX_[6274] * vX_[4420] + vX_[6455] * vX_[1240] + vX_[4830] * vX_[1767]) +
+ (vX_[6274] * vX_[4415] + vX_[6467] * vX_[1240] + vX_[3207] * vX_[331] + vX_[6498] * vX_[322] +
+ vX_[6468] * vX_[330] + vX_[6463] * vX_[329] +
+ (0 - (vX_[6465] + vX_[7024] * vX_[317] + vX_[6498] * vX_[321])) * 4.027 + vX_[6277] * vX_[308] +
+ vX_[3213] * vX_[302] + vX_[5809] * vX_[310] + vX_[7363] * vX_[342] + vX_[4830] * vX_[1274]) *
+ 0.08 -
+ (vX_[6264] * vX_[5414] + vX_[6266] * vX_[3653] + vX_[6471] * vX_[923] + vX_[6469] * vX_[1155] +
+ vX_[3199] * vX_[359] + vX_[7033] * vX_[361] + vX_[3217] * vX_[330] + vX_[6671] * vX_[358] +
+ vX_[3241] * vX_[372] + vX_[3244] * vX_[315] + vX_[7234] * vX_[384] + vX_[3242] * vX_[319] +
+ vX_[7380] * vX_[309] + vX_[2784] * vX_[383] + vX_[6284] * vX_[313] + vX_[4435] * vX_[302] +
+ vX_[6789] * vX_[314] + vX_[6275] * vX_[308] + vX_[2816] * vX_[320] + vX_[946] * vX_[323] +
+ vX_[6269] * vX_[347] + vX_[6431] * vX_[349] + vX_[3184] * vX_[374] + vX_[3184] * vX_[375] +
+ vX_[3212] * vX_[373] + vX_[6935] * vX_[346] + vX_[1257] * vX_[343] + vX_[7485] * vX_[1130] +
+ vX_[5840] * vX_[1026]) +
+ vX_[7030] * vX_[273] + vX_[6090] * vX_[1630] + vX_[6490] * vX_[1403] + vX_[2378] * vX_[1637] +
+ vX_[1193] * vX_[1633] + vX_[6489] * vX_[1411] + vX_[3188] * vX_[1407] + vX_[4459] * vX_[1584] +
+ vX_[6505] * vX_[279] + vX_[8303] * vX_[1644] + vX_[8345] * vX_[1642] + vX_[8369] * vX_[1419] +
+ vX_[7521] * vX_[1417] + vX_[4222] * vX_[1584] + vX_[2957] * vX_[273] + vX_[2765] * vX_[354] +
+ vX_[3229] * vX_[277] + vX_[6485] * vX_[1444] + (0 - vX_[6525]) * 0.35 + vX_[6864] * vX_[277] * 0.33 +
+ vX_[3200] * vX_[1493] + vX_[2532] * vX_[1514] + (0 - vX_[3235]) * 0.35 + vX_[6493] * vX_[1533] +
+ vX_[8334] * vX_[1525] + vX_[2369] * vX_[1478] + vX_[7958] * vX_[1471] + vX_[8758] * vX_[1486] +
+ vX_[2529] * vX_[1476] + vX_[7961] * vX_[1474] + vX_[3192] * vX_[1480] + vX_[6279] * vX_[1473] * 0.33 +
+ vX_[7064] * vX_[1473] * 0.33 + vX_[8984] * vX_[1564] + vX_[2794] * vX_[1557] + (0 - vX_[6526]) * 0.35 +
+ vX_[6684] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[1682] = vX_[2132] * vX_[354] + vX_[3230] * vX_[273] + vX_[2790] * vX_[369] + vX_[2771] * vX_[355] +
+ vX_[1682] * vX_[274] + vX_[6874] * vX_[840];
+ vX_[2771] = 0 - vX_[1682];
+ vX_[2393] = 0 - (vX_[8763] * vX_[367] + vX_[2419] * vX_[354] + vX_[3318] * vX_[273] + vX_[8300] * vX_[274] +
+ vX_[2393] * vX_[355] + vX_[3665] * vX_[369] + vX_[6850] * vX_[840] + vX_[6883] * vX_[830]);
+ vX_[1932] = vX_[6721] + vX_[1932] * vX_[367] + vX_[3318] * vX_[354];
+ vX_[2802] = vX_[1932] + vX_[2802] * vX_[274] + vX_[2770] * vX_[369] + vX_[6883] * vX_[840];
+ vX_[2770] = 0 - vX_[2802];
+ vX_[2365] =
+ vX_[8283] + vX_[2365] * vX_[274] + vX_[2130] * vX_[369] * 2. + vX_[6883] * vX_[915] + vX_[6886] * vX_[840];
+ vX_[2130] = 0 - vX_[2365];
+ vX_[3686] = vX_[3442] + vX_[2776] * vX_[274] + vX_[3686] * vX_[369] + vX_[6883] * vX_[841] + vX_[6888] * vX_[840];
+ vX_[3442] = 0 - vX_[3686];
+ vX_[2776] = (vX_[2770] * vX_[316] + vX_[2130] * vX_[376] + vX_[3442] * vX_[385]) * 1 / vX_[351];
+ vX_[2770] = vX_[6884] * vX_[1466] + vX_[2771] * vX_[364] + vX_[2393] * vX_[352] + vX_[2770] * vX_[379] + vX_[2776];
+ vX_[2360] = vX_[2786] + vX_[7916] * vX_[355] + vX_[2360] * vX_[274] * 2. + vX_[6874] * vX_[841];
+ vX_[2786] = vX_[2360] * vX_[304] + vX_[3686] * vX_[276];
+ vX_[8283] = vX_[2360] * vX_[276] + vX_[3686] * vX_[303];
+ vX_[2932] = vX_[2803] + vX_[2932] * vX_[274] + vX_[2808] * vX_[355] * 2. + vX_[6874] * vX_[915];
+ vX_[2361] = 0 - (0 - (vX_[2132] * vX_[367] + vX_[3215] * vX_[354]) + vX_[2814] * vX_[369] + vX_[8985] * vX_[274] +
+ vX_[2361] * vX_[355] + vX_[6874] * vX_[830]);
+ vX_[8763] = vX_[6721] + vX_[8763] * vX_[354] + vX_[3221] * vX_[273];
+ vX_[2394] = 0 - (vX_[8763] + vX_[2394] * vX_[355] + vX_[2774] * vX_[369] + vX_[6850] * vX_[830]);
+ vX_[2773] =
+ 0 - (vX_[2773] + vX_[2772] * vX_[355] + vX_[7916] * vX_[369] + vX_[6850] * vX_[915] + vX_[6886] * vX_[830]);
+ vX_[2363] =
+ vX_[2766] + vX_[2363] * vX_[355] + vX_[2791] * vX_[369] * 2. + vX_[6850] * vX_[841] + vX_[6888] * vX_[830];
+ vX_[2766] = 0 - vX_[2363];
+ vX_[2393] =
+ (vX_[2394] * vX_[325] + vX_[2393] * vX_[316] + vX_[2773] * vX_[376] + vX_[2766] * vX_[385]) * 1 / vX_[351];
+ vX_[2394] = 0 - vX_[2932] + vX_[6882] * vX_[1466] + vX_[2361] * vX_[364] + vX_[2394] * vX_[352] + vX_[2393];
+ vX_[6850] = 0 - vX_[2360];
+ vX_[7916] = vX_[7916] + vX_[6886] * vX_[841] + vX_[6888] * vX_[915];
+ vX_[2772] = 0 - vX_[7916];
+ vX_[2791] = vX_[2791] + vX_[6888] * vX_[841];
+ vX_[2774] = 0 - vX_[2791];
+ vX_[3221] = vX_[2774] * vX_[385] * 1 / vX_[351];
+ vX_[2774] = vX_[6889] * vX_[1466] + vX_[6850] * vX_[364] + vX_[2766] * vX_[352] + vX_[3442] * vX_[379] +
+ vX_[2772] * vX_[538] + vX_[2774] * vX_[547] + vX_[3221];
+ vX_[2766] = 0 - vX_[2932];
+ vX_[2808] = vX_[2808] + vX_[6886] * vX_[915];
+ vX_[3442] = 0 - vX_[2808];
+ vX_[2772] = (vX_[3442] * vX_[376] + vX_[2772] * vX_[385]) * 1 / vX_[351];
+ vX_[3442] = vX_[6887] * vX_[1466] + vX_[2766] * vX_[364] + vX_[2773] * vX_[352] + vX_[2130] * vX_[379] +
+ vX_[3442] * vX_[538] + vX_[2772];
+ vX_[8763] = vX_[7806] + vX_[6298] + vX_[6721] - vX_[8763] - vX_[1932] + vX_[2788] * vX_[355] + vX_[1573] * vX_[274];
+ vX_[1932] = vX_[8763] - vX_[2802];
+ vX_[1573] = vX_[1932] * vX_[304] + vX_[1682] * vX_[276];
+ vX_[2788] = vX_[1932] * vX_[276] + vX_[1682] * vX_[303];
+ vX_[8763] = 0 - vX_[8763];
+ vX_[2766] = (vX_[8763] * vX_[363] + vX_[2361] * vX_[325] + vX_[2771] * vX_[316] + vX_[2766] * vX_[376] +
+ vX_[6850] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[8763] = vX_[6878] * vX_[1466] + vX_[8763] * vX_[364] + vX_[2766];
+ vX_[6850] = vX_[2770] * vX_[276] + vX_[8763] * vX_[304];
+ vX_[2361] = vX_[2770] * vX_[303] + vX_[8763] * vX_[276];
+ vX_[2363] = vX_[2365] - vX_[2363];
+ vX_[2766] = 0 - vX_[6878] * vX_[3742] - vX_[6882] * vX_[1778] - vX_[6884] * vX_[1404] - vX_[6885] * vX_[1304] +
+ vX_[6885] * vX_[1466] - vX_[6887] * vX_[1395] - vX_[6889] * vX_[1237] - vX_[2766] * vX_[364] -
+ vX_[2393] * vX_[352] - vX_[2776] * vX_[379] - vX_[2772] * vX_[538] - vX_[3221] * vX_[547];
+ vX_[2772] = 0 - vX_[2791] + vX_[2766];
+ vX_[3221] = vX_[2772] * vX_[304] + vX_[2774] * vX_[276];
+ vX_[2393] = vX_[2772] * vX_[276] + vX_[2774] * vX_[303];
+ vX_[2776] = vX_[3221] * vX_[276] + vX_[2393] * vX_[304];
+ vX_[6889] = vX_[2791] + vX_[3221] * vX_[304];
+ vX_[6887] = vX_[2791] + vX_[2393] * vX_[276];
+ vX_[2766] = vX_[2808] + vX_[2791] + vX_[2766] - vX_[6889] - vX_[6887];
+ vX_[2808] = 0 - vX_[2766];
+ vX_[2791] = vX_[2932] * vX_[304] + vX_[2365] * vX_[276];
+ vX_[6885] = vX_[2791] + vX_[2808] * vX_[317];
+ vX_[6884] = 0 - vX_[6885];
+ vX_[2791] = 0 - (vX_[2363] * vX_[276] + vX_[2394] * vX_[303]) + vX_[2791];
+ vX_[6882] = vX_[2932] * vX_[276] + vX_[2365] * vX_[303];
+ vX_[6878] = vX_[6882] + vX_[2766] * vX_[321];
+ vX_[2771] = 0 - vX_[6878];
+ vX_[2773] = 0 - (vX_[7916] * vX_[276] + vX_[3442] * vX_[303]) + vX_[7916] * vX_[276] * 2.;
+ vX_[2130] = 0 - vX_[2773];
+ vX_[3215] = vX_[7916] * vX_[304] + vX_[3442] * vX_[276] + vX_[7916] * vX_[303] * 2.;
+ vX_[2132] = 0 - vX_[3215];
+ vX_[6925] = vX_[6925] * vX_[2057];
+ vX_[6924] = vX_[6924] * vX_[2057] + vX_[6918] * vX_[1596];
+ vX_[6918] = 0 - vX_[6924];
+ vX_[6919] = vX_[6919] * vX_[1596];
+ vX_[8985] = 0 - vX_[6934];
+ vX_[2814] = vX_[8985] * x_in[19] + vX_[3280] * x_in[20];
+ vX_[2803] = vX_[3735] * x_in[29];
+ vX_[3318] = 0 - vX_[2803];
+ vX_[2419] = vX_[3735] * x_in[28];
+ vX_[8300] = 0 - vX_[2419];
+ vX_[6944] = vX_[6917] * vX_[2045] + vX_[6944] * vX_[2050];
+ vX_[6945] = vX_[6945] * vX_[1562];
+ vX_[6917] = 0 - vX_[6887];
+ vX_[6882] = vX_[2363] * vX_[304] + vX_[2394] * vX_[276] + vX_[6882];
+ vX_[3665] = 0 - vX_[2776];
+ vX_[2790] = 0 - vX_[6887];
+ vX_[3230] = 0 - vX_[6925] - vX_[6919];
+ vX_[6498] = 0 - vX_[6944];
+ vX_[3246] = 0 - vX_[2814] - vX_[6945];
+ jac[390] =
+ 0 -
+ (vX_[6883] * vX_[1240] + vX_[6888] * vX_[923] + vX_[1682] * vX_[359] + vX_[2770] * vX_[309] +
+ vX_[2365] * vX_[372] + vX_[3686] * vX_[384] + vX_[2786] * vX_[313] + vX_[8283] * vX_[302] +
+ vX_[2394] * vX_[320] + vX_[2774] * vX_[347] + vX_[7916] * vX_[592] + vX_[3442] * vX_[375] +
+ vX_[4535] * vX_[1126] + vX_[6270] * vX_[1130] - (vX_[6874] * vX_[1550] + vX_[7661] * vX_[1767]) +
+ (vX_[6886] * vX_[1550] + vX_[7661] * vX_[1274]) * 0.08 -
+ (vX_[6890] * vX_[1155] + vX_[1932] * vX_[361] + vX_[1573] * vX_[360] + vX_[2788] * vX_[330] +
+ vX_[2932] * vX_[319] + vX_[2360] * vX_[383] + vX_[8763] * vX_[315] + vX_[6850] * vX_[314] +
+ vX_[2361] * vX_[308] + vX_[2363] * vX_[323] + vX_[2772] * vX_[349] + vX_[7916] * vX_[373] +
+ vX_[3221] * vX_[299] + vX_[2393] * vX_[346] +
+ (vX_[2776] * vX_[322] + vX_[2808] * vX_[332] + vX_[6889] * vX_[318] + vX_[6884] * vX_[328] +
+ (vX_[2791] + vX_[6889] * vX_[317]) * 4.027 + vX_[2771] * vX_[330] + vX_[2130] * vX_[314] +
+ vX_[2132] * vX_[313] + vX_[2776] * vX_[297] + vX_[6889] * vX_[348]) *
+ 0.08 +
+ vX_[7807] * vX_[1026]) +
+ vX_[2399] * vX_[1391] + vX_[2400] * vX_[354] - vX_[6925] * vX_[279] + vX_[6926] * 0.35 +
+ vX_[8582] * vX_[1636] + vX_[8578] * vX_[1634] + vX_[6908] * vX_[1410] + vX_[7645] * vX_[1408] +
+ vX_[3365] * vX_[1582] + vX_[8639] * vX_[1599] + vX_[6918] * vX_[277] + vX_[8656] * vX_[1645] +
+ vX_[8728] * vX_[1641] + vX_[7657] * vX_[1420] + vX_[2807] * vX_[1416] + vX_[6614] * vX_[1588] +
+ vX_[6281] * vX_[273] + vX_[2407] * vX_[354] - vX_[6919] * vX_[279] + vX_[6921] * vX_[1448] +
+ vX_[4005] * vX_[1446] + vX_[6929] * vX_[1595] + vX_[6920] * vX_[1593] + vX_[2420] * vX_[1497] +
+ vX_[8920] * vX_[1495] + vX_[8742] * vX_[1516] + vX_[2814] * vX_[1473] * -0.33 + vX_[2800] * vX_[1531] +
+ vX_[6276] * vX_[1523] + vX_[2406] * vX_[1529] + vX_[9128] * vX_[1474] + vX_[8764] * vX_[1484] +
+ vX_[8624] * vX_[1471] + vX_[7735] * vX_[1482] + vX_[7862] * vX_[1478] + vX_[3318] * vX_[277] * 0.33 +
+ (0 - vX_[2419]) * 0.35 + vX_[8300] * vX_[277] * 0.33 + vX_[7071] * vX_[1568] + vX_[2357] * vX_[1566] +
+ vX_[1712] * vX_[1559] + vX_[2408] * vX_[1512] + (vX_[6944] * vX_[279] + vX_[6945] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[6883] * vX_[1550] + vX_[7661] * vX_[1126]) - (vX_[6874] * vX_[1240] + vX_[4535] * vX_[1767]) +
+ (vX_[6886] * vX_[1240] + vX_[2766] * vX_[331] + vX_[6917] * vX_[322] + vX_[6885] * vX_[330] +
+ vX_[6878] * vX_[329] + (0 - (vX_[6882] + vX_[2776] * vX_[317] + vX_[6917] * vX_[321])) * 4.027 +
+ vX_[2773] * vX_[308] + vX_[3215] * vX_[302] + vX_[3665] * vX_[310] + vX_[2790] * vX_[342] +
+ vX_[4535] * vX_[1274]) *
+ 0.08 -
+ (vX_[6890] * vX_[923] + vX_[6888] * vX_[1155] + vX_[1932] * vX_[359] + vX_[1682] * vX_[361] +
+ vX_[1573] * vX_[330] + vX_[2788] * vX_[358] + vX_[2932] * vX_[372] + vX_[2770] * vX_[315] +
+ vX_[2360] * vX_[384] + vX_[2365] * vX_[319] + vX_[8763] * vX_[309] + vX_[3686] * vX_[383] +
+ vX_[6850] * vX_[313] + vX_[2361] * vX_[302] + vX_[2786] * vX_[314] + vX_[8283] * vX_[308] +
+ vX_[2363] * vX_[320] + vX_[2394] * vX_[323] + vX_[2772] * vX_[347] + vX_[2774] * vX_[349] +
+ vX_[7916] * vX_[374] + vX_[7916] * vX_[375] + vX_[3442] * vX_[373] + vX_[3221] * vX_[346] +
+ vX_[2393] * vX_[343] + vX_[7807] * vX_[1130] + vX_[6270] * vX_[1026]) +
+ vX_[2806] * vX_[273] + vX_[6519] * vX_[1630] + vX_[6909] * vX_[1403] + vX_[8582] * vX_[1637] +
+ vX_[8566] * vX_[1633] + vX_[6908] * vX_[1411] + vX_[7864] * vX_[1407] + vX_[3598] * vX_[1584] +
+ vX_[6924] * vX_[279] + vX_[8656] * vX_[1644] + vX_[8728] * vX_[1642] + vX_[7657] * vX_[1419] +
+ vX_[2807] * vX_[1417] + vX_[4003] * vX_[1584] + vX_[2799] * vX_[273] + vX_[2404] * vX_[354] +
+ vX_[3230] * vX_[277] + vX_[6904] * vX_[1444] + (0 - vX_[6944]) * 0.35 + vX_[6498] * vX_[277] * 0.33 +
+ vX_[8922] * vX_[1493] + vX_[2418] * vX_[1514] + (0 - vX_[2814]) * 0.35 + vX_[6912] * vX_[1533] +
+ vX_[2793] * vX_[1525] + vX_[7718] * vX_[1478] + vX_[8775] * vX_[1471] + vX_[2380] * vX_[1486] +
+ vX_[8804] * vX_[1476] + vX_[2385] * vX_[1474] + vX_[2804] * vX_[1480] + vX_[2803] * vX_[1473] * 0.33 +
+ vX_[2419] * vX_[1473] * 0.33 + vX_[2358] * vX_[1564] + vX_[8806] * vX_[1557] + (0 - vX_[6945]) * 0.35 +
+ vX_[3246] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[1890] = vX_[1700] * vX_[354] + vX_[2046] * vX_[273] + vX_[3738] * vX_[369] + vX_[1965] * vX_[355] +
+ vX_[1890] * vX_[274] + vX_[7301] * vX_[840];
+ vX_[1965] = 0 - vX_[1890];
+ vX_[1725] = 0 - (vX_[3291] * vX_[367] + vX_[3643] * vX_[354] + vX_[2775] * vX_[273] + vX_[3343] * vX_[274] +
+ vX_[1725] * vX_[355] + vX_[3092] * vX_[369] + vX_[7277] * vX_[840] + vX_[7310] * vX_[830]);
+ vX_[2086] = vX_[7148] + vX_[2086] * vX_[367] + vX_[2775] * vX_[354];
+ vX_[1676] = vX_[2086] + vX_[1676] * vX_[274] + vX_[1413] * vX_[369] + vX_[7310] * vX_[840];
+ vX_[1413] = 0 - vX_[1676];
+ vX_[1956] =
+ vX_[8860] + vX_[1956] * vX_[274] + vX_[3091] * vX_[369] * 2. + vX_[7310] * vX_[915] + vX_[7313] * vX_[840];
+ vX_[3091] = 0 - vX_[1956];
+ vX_[3109] = vX_[1889] + vX_[1669] * vX_[274] + vX_[3109] * vX_[369] + vX_[7310] * vX_[841] + vX_[7315] * vX_[840];
+ vX_[1889] = 0 - vX_[3109];
+ vX_[1669] = (vX_[1413] * vX_[316] + vX_[3091] * vX_[376] + vX_[1889] * vX_[385]) * 1 / vX_[351];
+ vX_[1413] = vX_[7311] * vX_[1466] + vX_[1965] * vX_[364] + vX_[1725] * vX_[352] + vX_[1413] * vX_[379] + vX_[1669];
+ vX_[1948] = vX_[3672] + vX_[604] * vX_[355] + vX_[1948] * vX_[274] * 2. + vX_[7301] * vX_[841];
+ vX_[3672] = vX_[1948] * vX_[304] + vX_[3109] * vX_[276];
+ vX_[8860] = vX_[1948] * vX_[276] + vX_[3109] * vX_[303];
+ vX_[1913] = vX_[1677] + vX_[1913] * vX_[274] + vX_[9330] * vX_[355] * 2. + vX_[7301] * vX_[915];
+ vX_[3264] = 0 - (0 - (vX_[1700] * vX_[367] + vX_[950] * vX_[354]) + vX_[3285] * vX_[369] + vX_[3005] * vX_[274] +
+ vX_[3264] * vX_[355] + vX_[7301] * vX_[830]);
+ vX_[3291] = vX_[7148] + vX_[3291] * vX_[354] + vX_[7849] * vX_[273];
+ vX_[1900] = 0 - (vX_[3291] + vX_[1900] * vX_[355] + vX_[1964] * vX_[369] + vX_[7277] * vX_[830]);
+ vX_[1750] =
+ 0 - (vX_[1750] + vX_[9118] * vX_[355] + vX_[604] * vX_[369] + vX_[7277] * vX_[915] + vX_[7313] * vX_[830]);
+ vX_[1748] =
+ vX_[3338] + vX_[1748] * vX_[355] + vX_[3674] * vX_[369] * 2. + vX_[7277] * vX_[841] + vX_[7315] * vX_[830];
+ vX_[3338] = 0 - vX_[1748];
+ vX_[1725] =
+ (vX_[1900] * vX_[325] + vX_[1725] * vX_[316] + vX_[1750] * vX_[376] + vX_[3338] * vX_[385]) * 1 / vX_[351];
+ vX_[1900] = 0 - vX_[1913] + vX_[7309] * vX_[1466] + vX_[3264] * vX_[364] + vX_[1900] * vX_[352] + vX_[1725];
+ vX_[7277] = 0 - vX_[1948];
+ vX_[604] = vX_[604] + vX_[7313] * vX_[841] + vX_[7315] * vX_[915];
+ vX_[9118] = 0 - vX_[604];
+ vX_[3674] = vX_[3674] + vX_[7315] * vX_[841];
+ vX_[1964] = 0 - vX_[3674];
+ vX_[7849] = vX_[1964] * vX_[385] * 1 / vX_[351];
+ vX_[1964] = vX_[7316] * vX_[1466] + vX_[7277] * vX_[364] + vX_[3338] * vX_[352] + vX_[1889] * vX_[379] +
+ vX_[9118] * vX_[538] + vX_[1964] * vX_[547] + vX_[7849];
+ vX_[3338] = 0 - vX_[1913];
+ vX_[9330] = vX_[9330] + vX_[7313] * vX_[915];
+ vX_[1889] = 0 - vX_[9330];
+ vX_[9118] = (vX_[1889] * vX_[376] + vX_[9118] * vX_[385]) * 1 / vX_[351];
+ vX_[1889] = vX_[7314] * vX_[1466] + vX_[3338] * vX_[364] + vX_[1750] * vX_[352] + vX_[3091] * vX_[379] +
+ vX_[1889] * vX_[538] + vX_[9118];
+ vX_[3291] = vX_[6531] + vX_[6717] + vX_[7148] - vX_[3291] - vX_[2086] + vX_[1681] * vX_[355] + vX_[1915] * vX_[274];
+ vX_[2086] = vX_[3291] - vX_[1676];
+ vX_[1915] = vX_[2086] * vX_[304] + vX_[1890] * vX_[276];
+ vX_[1681] = vX_[2086] * vX_[276] + vX_[1890] * vX_[303];
+ vX_[3291] = 0 - vX_[3291];
+ vX_[3338] = (vX_[3291] * vX_[363] + vX_[3264] * vX_[325] + vX_[1965] * vX_[316] + vX_[3338] * vX_[376] +
+ vX_[7277] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[3291] = vX_[7305] * vX_[1466] + vX_[3291] * vX_[364] + vX_[3338];
+ vX_[7277] = vX_[1413] * vX_[276] + vX_[3291] * vX_[304];
+ vX_[3264] = vX_[1413] * vX_[303] + vX_[3291] * vX_[276];
+ vX_[1748] = vX_[1956] - vX_[1748];
+ vX_[3338] = 0 - vX_[7305] * vX_[3742] - vX_[7309] * vX_[1778] - vX_[7311] * vX_[1404] - vX_[7312] * vX_[1304] +
+ vX_[7312] * vX_[1466] - vX_[7314] * vX_[1395] - vX_[7316] * vX_[1237] - vX_[3338] * vX_[364] -
+ vX_[1725] * vX_[352] - vX_[1669] * vX_[379] - vX_[9118] * vX_[538] - vX_[7849] * vX_[547];
+ vX_[9118] = 0 - vX_[3674] + vX_[3338];
+ vX_[7849] = vX_[9118] * vX_[304] + vX_[1964] * vX_[276];
+ vX_[1725] = vX_[9118] * vX_[276] + vX_[1964] * vX_[303];
+ vX_[1669] = vX_[7849] * vX_[276] + vX_[1725] * vX_[304];
+ vX_[7316] = vX_[3674] + vX_[7849] * vX_[304];
+ vX_[7314] = vX_[3674] + vX_[1725] * vX_[276];
+ vX_[3338] = vX_[9330] + vX_[3674] + vX_[3338] - vX_[7316] - vX_[7314];
+ vX_[9330] = 0 - vX_[3338];
+ vX_[3674] = vX_[1913] * vX_[304] + vX_[1956] * vX_[276];
+ vX_[7312] = vX_[3674] + vX_[9330] * vX_[317];
+ vX_[7311] = 0 - vX_[7312];
+ vX_[3674] = 0 - (vX_[1748] * vX_[276] + vX_[1900] * vX_[303]) + vX_[3674];
+ vX_[7309] = vX_[1913] * vX_[276] + vX_[1956] * vX_[303];
+ vX_[7305] = vX_[7309] + vX_[3338] * vX_[321];
+ vX_[1965] = 0 - vX_[7305];
+ vX_[1750] = 0 - (vX_[604] * vX_[276] + vX_[1889] * vX_[303]) + vX_[604] * vX_[276] * 2.;
+ vX_[3091] = 0 - vX_[1750];
+ vX_[950] = vX_[604] * vX_[304] + vX_[1889] * vX_[276] + vX_[604] * vX_[303] * 2.;
+ vX_[1700] = 0 - vX_[950];
+ vX_[7352] = vX_[7352] * vX_[2057];
+ vX_[7351] = vX_[7351] * vX_[2057] + vX_[7345] * vX_[1596];
+ vX_[7345] = 0 - vX_[7351];
+ vX_[7346] = vX_[7346] * vX_[1596];
+ vX_[3005] = 0 - vX_[7361];
+ vX_[3285] = vX_[3005] * x_in[19] + vX_[3645] * x_in[20];
+ vX_[1677] = vX_[1715] * x_in[29];
+ vX_[2775] = 0 - vX_[1677];
+ vX_[3643] = vX_[1715] * x_in[28];
+ vX_[3343] = 0 - vX_[3643];
+ vX_[7371] = vX_[7344] * vX_[2045] + vX_[7371] * vX_[2050];
+ vX_[7372] = vX_[7372] * vX_[1562];
+ vX_[7344] = 0 - vX_[7314];
+ vX_[7309] = vX_[1748] * vX_[304] + vX_[1900] * vX_[276] + vX_[7309];
+ vX_[3092] = 0 - vX_[1669];
+ vX_[3738] = 0 - vX_[7314];
+ vX_[2046] = 0 - vX_[7352] - vX_[7346];
+ vX_[6917] = 0 - vX_[7371];
+ vX_[2808] = 0 - vX_[3285] - vX_[7372];
+ jac[391] =
+ 0 -
+ (vX_[7310] * vX_[1240] + vX_[7315] * vX_[923] + vX_[1890] * vX_[359] + vX_[1413] * vX_[309] +
+ vX_[1956] * vX_[372] + vX_[3109] * vX_[384] + vX_[3672] * vX_[313] + vX_[8860] * vX_[302] +
+ vX_[1900] * vX_[320] + vX_[1964] * vX_[347] + vX_[604] * vX_[592] + vX_[1889] * vX_[375] +
+ vX_[4004] * vX_[1126] + vX_[2403] * vX_[1130] - (vX_[7301] * vX_[1550] + vX_[2386] * vX_[1767]) +
+ (vX_[7313] * vX_[1550] + vX_[2386] * vX_[1274]) * 0.08 -
+ (vX_[7317] * vX_[1155] + vX_[2086] * vX_[361] + vX_[1915] * vX_[360] + vX_[1681] * vX_[330] +
+ vX_[1913] * vX_[319] + vX_[1948] * vX_[383] + vX_[3291] * vX_[315] + vX_[7277] * vX_[314] +
+ vX_[3264] * vX_[308] + vX_[1748] * vX_[323] + vX_[9118] * vX_[349] + vX_[604] * vX_[373] +
+ vX_[7849] * vX_[299] + vX_[1725] * vX_[346] +
+ (vX_[1669] * vX_[322] + vX_[9330] * vX_[332] + vX_[7316] * vX_[318] + vX_[7311] * vX_[328] +
+ (vX_[3674] + vX_[7316] * vX_[317]) * 4.027 + vX_[1965] * vX_[330] + vX_[3091] * vX_[314] +
+ vX_[1700] * vX_[313] + vX_[1669] * vX_[297] + vX_[7316] * vX_[348]) *
+ 0.08 +
+ vX_[8907] * vX_[1026]) +
+ vX_[1735] * vX_[1391] + vX_[1894] * vX_[354] - vX_[7352] * vX_[279] + vX_[7353] * 0.35 +
+ vX_[1716] * vX_[1636] + vX_[1941] * vX_[1634] + vX_[7335] * vX_[1410] + vX_[2415] * vX_[1408] +
+ vX_[3245] * vX_[1582] + vX_[3515] * vX_[1599] + vX_[7345] * vX_[277] + vX_[3329] * vX_[1645] +
+ vX_[3644] * vX_[1641] + vX_[2414] * vX_[1420] + vX_[2371] * vX_[1416] + vX_[6808] * vX_[1588] +
+ vX_[2391] * vX_[273] + vX_[1689] * vX_[354] - vX_[7346] * vX_[279] + vX_[7348] * vX_[1448] +
+ vX_[3247] * vX_[1446] + vX_[7356] * vX_[1595] + vX_[7347] * vX_[1593] + vX_[3151] * vX_[1497] +
+ vX_[1917] * vX_[1495] + vX_[1683] * vX_[1516] + vX_[3285] * vX_[1473] * -0.33 + vX_[2402] * vX_[1531] +
+ vX_[909] * vX_[1523] + vX_[1692] * vX_[1529] + vX_[9347] * vX_[1474] + vX_[8862] * vX_[1484] +
+ vX_[637] * vX_[1471] + vX_[8802] * vX_[1482] + vX_[2370] * vX_[1478] + vX_[2775] * vX_[277] * 0.33 +
+ (0 - vX_[3643]) * 0.35 + vX_[3343] * vX_[277] * 0.33 + vX_[7498] * vX_[1568] + vX_[1740] * vX_[1566] +
+ vX_[509] * vX_[1559] + vX_[1426] * vX_[1512] + (vX_[7371] * vX_[279] + vX_[7372] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[7310] * vX_[1550] + vX_[2386] * vX_[1126]) - (vX_[7301] * vX_[1240] + vX_[4004] * vX_[1767]) +
+ (vX_[7313] * vX_[1240] + vX_[3338] * vX_[331] + vX_[7344] * vX_[322] + vX_[7312] * vX_[330] +
+ vX_[7305] * vX_[329] + (0 - (vX_[7309] + vX_[1669] * vX_[317] + vX_[7344] * vX_[321])) * 4.027 +
+ vX_[1750] * vX_[308] + vX_[950] * vX_[302] + vX_[3092] * vX_[310] + vX_[3738] * vX_[342] +
+ vX_[4004] * vX_[1274]) *
+ 0.08 -
+ (vX_[7317] * vX_[923] + vX_[7315] * vX_[1155] + vX_[2086] * vX_[359] + vX_[1890] * vX_[361] +
+ vX_[1915] * vX_[330] + vX_[1681] * vX_[358] + vX_[1913] * vX_[372] + vX_[1413] * vX_[315] +
+ vX_[1948] * vX_[384] + vX_[1956] * vX_[319] + vX_[3291] * vX_[309] + vX_[3109] * vX_[383] +
+ vX_[7277] * vX_[313] + vX_[3264] * vX_[302] + vX_[3672] * vX_[314] + vX_[8860] * vX_[308] +
+ vX_[1748] * vX_[320] + vX_[1900] * vX_[323] + vX_[9118] * vX_[347] + vX_[1964] * vX_[349] +
+ vX_[604] * vX_[374] + vX_[604] * vX_[375] + vX_[1889] * vX_[373] + vX_[7849] * vX_[346] +
+ vX_[1725] * vX_[343] + vX_[8907] * vX_[1130] + vX_[2403] * vX_[1026]) +
+ vX_[2376] * vX_[273] + vX_[6938] * vX_[1630] + vX_[7336] * vX_[1403] + vX_[1716] * vX_[1637] +
+ vX_[1943] * vX_[1633] + vX_[7335] * vX_[1411] + vX_[2372] * vX_[1407] + vX_[3231] * vX_[1584] +
+ vX_[7351] * vX_[279] + vX_[3329] * vX_[1644] + vX_[3644] * vX_[1642] + vX_[2414] * vX_[1419] +
+ vX_[2371] * vX_[1417] + vX_[7102] * vX_[1584] + vX_[2390] * vX_[273] + vX_[1696] * vX_[354] +
+ vX_[2046] * vX_[277] + vX_[7331] * vX_[1444] + (0 - vX_[7371]) * 0.35 + vX_[6917] * vX_[277] * 0.33 +
+ vX_[3333] * vX_[1493] + vX_[1693] * vX_[1514] + (0 - vX_[3285]) * 0.35 + vX_[7339] * vX_[1533] +
+ vX_[2388] * vX_[1525] + vX_[9048] * vX_[1478] + vX_[1763] * vX_[1471] + vX_[9345] * vX_[1486] +
+ vX_[618] * vX_[1476] + vX_[8705] * vX_[1474] + vX_[2377] * vX_[1480] + vX_[1677] * vX_[1473] * 0.33 +
+ vX_[3643] * vX_[1473] * 0.33 + vX_[1684] * vX_[1564] + vX_[3666] * vX_[1557] + (0 - vX_[7372]) * 0.35 +
+ vX_[2808] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[5] = vX_[1906] * vX_[354] + vX_[3268] * vX_[273] + vX_[4114] * vX_[369] + vX_[8427] * vX_[355] +
+ vX_[5] * vX_[274] + vX_[7728] * vX_[840];
+ vX_[8427] = 0 - vX_[5];
+ vX_[1822] = 0 - (vX_[1901] * vX_[367] + vX_[1826] * vX_[354] + vX_[1670] * vX_[273] + vX_[46] * vX_[274] +
+ vX_[1822] * vX_[355] + vX_[9063] * vX_[369] + vX_[7704] * vX_[840] + vX_[7737] * vX_[830]);
+ vX_[1897] = vX_[7575] + vX_[1897] * vX_[367] + vX_[1670] * vX_[354];
+ vX_[9098] = vX_[1897] + vX_[9098] * vX_[274] + vX_[9085] * vX_[369] + vX_[7737] * vX_[840];
+ vX_[9085] = 0 - vX_[9098];
+ vX_[1949] =
+ vX_[464] + vX_[1949] * vX_[274] + vX_[9060] * vX_[369] * 2. + vX_[7737] * vX_[915] + vX_[7740] * vX_[840];
+ vX_[9060] = 0 - vX_[1949];
+ vX_[9064] = vX_[1940] + vX_[9191] * vX_[274] + vX_[9064] * vX_[369] + vX_[7737] * vX_[841] + vX_[7742] * vX_[840];
+ vX_[1940] = 0 - vX_[9064];
+ vX_[9191] = (vX_[9085] * vX_[316] + vX_[9060] * vX_[376] + vX_[1940] * vX_[385]) * 1 / vX_[351];
+ vX_[9085] = vX_[7738] * vX_[1466] + vX_[8427] * vX_[364] + vX_[1822] * vX_[352] + vX_[9085] * vX_[379] + vX_[9191];
+ vX_[1910] = vX_[559] + vX_[1931] * vX_[355] + vX_[1910] * vX_[274] * 2. + vX_[7728] * vX_[841];
+ vX_[559] = vX_[1910] * vX_[304] + vX_[9064] * vX_[276];
+ vX_[464] = vX_[1910] * vX_[276] + vX_[9064] * vX_[303];
+ vX_[1946] = vX_[1815] + vX_[1946] * vX_[274] + vX_[1739] * vX_[355] * 2. + vX_[7728] * vX_[915];
+ vX_[1950] = 0 - (0 - (vX_[1906] * vX_[367] + vX_[1905] * vX_[354]) + vX_[9201] * vX_[369] + vX_[1952] * vX_[274] +
+ vX_[1950] * vX_[355] + vX_[7728] * vX_[830]);
+ vX_[1901] = vX_[7575] + vX_[1901] * vX_[354] + vX_[4100] * vX_[273];
+ vX_[1824] = 0 - (vX_[1901] + vX_[1824] * vX_[355] + vX_[1732] * vX_[369] + vX_[7704] * vX_[830]);
+ vX_[1723] =
+ 0 - (vX_[1723] + vX_[1140] * vX_[355] + vX_[1931] * vX_[369] + vX_[7704] * vX_[915] + vX_[7740] * vX_[830]);
+ vX_[831] = vX_[552] + vX_[831] * vX_[355] + vX_[9089] * vX_[369] * 2. + vX_[7704] * vX_[841] + vX_[7742] * vX_[830];
+ vX_[552] = 0 - vX_[831];
+ vX_[1822] =
+ (vX_[1824] * vX_[325] + vX_[1822] * vX_[316] + vX_[1723] * vX_[376] + vX_[552] * vX_[385]) * 1 / vX_[351];
+ vX_[1824] = 0 - vX_[1946] + vX_[7736] * vX_[1466] + vX_[1950] * vX_[364] + vX_[1824] * vX_[352] + vX_[1822];
+ vX_[7704] = 0 - vX_[1910];
+ vX_[1931] = vX_[1931] + vX_[7740] * vX_[841] + vX_[7742] * vX_[915];
+ vX_[1140] = 0 - vX_[1931];
+ vX_[9089] = vX_[9089] + vX_[7742] * vX_[841];
+ vX_[1732] = 0 - vX_[9089];
+ vX_[4100] = vX_[1732] * vX_[385] * 1 / vX_[351];
+ vX_[1732] = vX_[7743] * vX_[1466] + vX_[7704] * vX_[364] + vX_[552] * vX_[352] + vX_[1940] * vX_[379] +
+ vX_[1140] * vX_[538] + vX_[1732] * vX_[547] + vX_[4100];
+ vX_[552] = 0 - vX_[1946];
+ vX_[1739] = vX_[1739] + vX_[7740] * vX_[915];
+ vX_[1940] = 0 - vX_[1739];
+ vX_[1140] = (vX_[1940] * vX_[376] + vX_[1140] * vX_[385]) * 1 / vX_[351];
+ vX_[1940] = vX_[7741] * vX_[1466] + vX_[552] * vX_[364] + vX_[1723] * vX_[352] + vX_[9060] * vX_[379] +
+ vX_[1940] * vX_[538] + vX_[1140];
+ vX_[1901] = vX_[5329] + vX_[7144] + vX_[7575] - vX_[1901] - vX_[1897] + vX_[1305] * vX_[355] + vX_[1953] * vX_[274];
+ vX_[1897] = vX_[1901] - vX_[9098];
+ vX_[1953] = vX_[1897] * vX_[304] + vX_[5] * vX_[276];
+ vX_[1305] = vX_[1897] * vX_[276] + vX_[5] * vX_[303];
+ vX_[1901] = 0 - vX_[1901];
+ vX_[552] = (vX_[1901] * vX_[363] + vX_[1950] * vX_[325] + vX_[8427] * vX_[316] + vX_[552] * vX_[376] +
+ vX_[7704] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[1901] = vX_[7732] * vX_[1466] + vX_[1901] * vX_[364] + vX_[552];
+ vX_[7704] = vX_[9085] * vX_[276] + vX_[1901] * vX_[304];
+ vX_[1950] = vX_[9085] * vX_[303] + vX_[1901] * vX_[276];
+ vX_[831] = vX_[1949] - vX_[831];
+ vX_[552] = 0 - vX_[7732] * vX_[3742] - vX_[7736] * vX_[1778] - vX_[7738] * vX_[1404] - vX_[7739] * vX_[1304] +
+ vX_[7739] * vX_[1466] - vX_[7741] * vX_[1395] - vX_[7743] * vX_[1237] - vX_[552] * vX_[364] -
+ vX_[1822] * vX_[352] - vX_[9191] * vX_[379] - vX_[1140] * vX_[538] - vX_[4100] * vX_[547];
+ vX_[1140] = 0 - vX_[9089] + vX_[552];
+ vX_[4100] = vX_[1140] * vX_[304] + vX_[1732] * vX_[276];
+ vX_[1822] = vX_[1140] * vX_[276] + vX_[1732] * vX_[303];
+ vX_[9191] = vX_[4100] * vX_[276] + vX_[1822] * vX_[304];
+ vX_[7743] = vX_[9089] + vX_[4100] * vX_[304];
+ vX_[7741] = vX_[9089] + vX_[1822] * vX_[276];
+ vX_[552] = vX_[1739] + vX_[9089] + vX_[552] - vX_[7743] - vX_[7741];
+ vX_[1739] = 0 - vX_[552];
+ vX_[9089] = vX_[1946] * vX_[304] + vX_[1949] * vX_[276];
+ vX_[7739] = vX_[9089] + vX_[1739] * vX_[317];
+ vX_[7738] = 0 - vX_[7739];
+ vX_[9089] = 0 - (vX_[831] * vX_[276] + vX_[1824] * vX_[303]) + vX_[9089];
+ vX_[7736] = vX_[1946] * vX_[276] + vX_[1949] * vX_[303];
+ vX_[7732] = vX_[7736] + vX_[552] * vX_[321];
+ vX_[8427] = 0 - vX_[7732];
+ vX_[1723] = 0 - (vX_[1931] * vX_[276] + vX_[1940] * vX_[303]) + vX_[1931] * vX_[276] * 2.;
+ vX_[9060] = 0 - vX_[1723];
+ vX_[1905] = vX_[1931] * vX_[304] + vX_[1940] * vX_[276] + vX_[1931] * vX_[303] * 2.;
+ vX_[1906] = 0 - vX_[1905];
+ vX_[7779] = vX_[7779] * vX_[2057];
+ vX_[7778] = vX_[7778] * vX_[2057] + vX_[7772] * vX_[1596];
+ vX_[7772] = 0 - vX_[7778];
+ vX_[7773] = vX_[7773] * vX_[1596];
+ vX_[1952] = 0 - vX_[7788];
+ vX_[9201] = vX_[1952] * x_in[19] + vX_[1881] * x_in[20];
+ vX_[1815] = vX_[1877] * x_in[29];
+ vX_[1670] = 0 - vX_[1815];
+ vX_[1826] = vX_[1877] * x_in[28];
+ vX_[46] = 0 - vX_[1826];
+ vX_[7798] = vX_[7771] * vX_[2045] + vX_[7798] * vX_[2050];
+ vX_[7799] = vX_[7799] * vX_[1562];
+ vX_[7771] = 0 - vX_[7741];
+ vX_[7736] = vX_[831] * vX_[304] + vX_[1824] * vX_[276] + vX_[7736];
+ vX_[9063] = 0 - vX_[9191];
+ vX_[4114] = 0 - vX_[7741];
+ vX_[3268] = 0 - vX_[7779] - vX_[7773];
+ vX_[7344] = 0 - vX_[7798];
+ vX_[9330] = 0 - vX_[9201] - vX_[7799];
+ jac[392] =
+ 0 -
+ (vX_[7737] * vX_[1240] + vX_[7742] * vX_[923] + vX_[5] * vX_[359] + vX_[9085] * vX_[309] +
+ vX_[1949] * vX_[372] + vX_[9064] * vX_[384] + vX_[559] * vX_[313] + vX_[464] * vX_[302] +
+ vX_[1824] * vX_[320] + vX_[1732] * vX_[347] + vX_[1931] * vX_[592] + vX_[1940] * vX_[375] +
+ vX_[7520] * vX_[1126] + vX_[9373] * vX_[1130] - (vX_[7728] * vX_[1550] + vX_[9368] * vX_[1767]) +
+ (vX_[7740] * vX_[1550] + vX_[9368] * vX_[1274]) * 0.08 -
+ (vX_[7744] * vX_[1155] + vX_[1897] * vX_[361] + vX_[1953] * vX_[360] + vX_[1305] * vX_[330] +
+ vX_[1946] * vX_[319] + vX_[1910] * vX_[383] + vX_[1901] * vX_[315] + vX_[7704] * vX_[314] +
+ vX_[1950] * vX_[308] + vX_[831] * vX_[323] + vX_[1140] * vX_[349] + vX_[1931] * vX_[373] +
+ vX_[4100] * vX_[299] + vX_[1822] * vX_[346] +
+ (vX_[9191] * vX_[322] + vX_[1739] * vX_[332] + vX_[7743] * vX_[318] + vX_[7738] * vX_[328] +
+ (vX_[9089] + vX_[7743] * vX_[317]) * 4.027 + vX_[8427] * vX_[330] + vX_[9060] * vX_[314] +
+ vX_[1906] * vX_[313] + vX_[9191] * vX_[297] + vX_[7743] * vX_[348]) *
+ 0.08 +
+ vX_[8684] * vX_[1026]) +
+ vX_[1807] * vX_[1391] + vX_[1805] * vX_[354] - vX_[7779] * vX_[279] + vX_[7780] * 0.35 +
+ vX_[1803] * vX_[1636] + vX_[1795] * vX_[1634] + vX_[7762] * vX_[1410] + vX_[9366] * vX_[1408] +
+ vX_[2777] * vX_[1582] + vX_[1793] * vX_[1599] + vX_[7772] * vX_[277] + vX_[1791] * vX_[1645] +
+ vX_[1789] * vX_[1641] + vX_[9364] * vX_[1420] + vX_[1831] * vX_[1416] + vX_[2815] * vX_[1588] +
+ vX_[9378] * vX_[273] + vX_[1760] * vX_[354] - vX_[7773] * vX_[279] + vX_[7775] * vX_[1448] +
+ vX_[8295] * vX_[1446] + vX_[7783] * vX_[1595] + vX_[7774] * vX_[1593] + vX_[1867] * vX_[1497] +
+ vX_[1841] * vX_[1495] + vX_[1756] * vX_[1516] + vX_[9201] * vX_[1473] * -0.33 + vX_[9369] * vX_[1531] +
+ vX_[9374] * vX_[1523] + vX_[1729] * vX_[1529] + vX_[1713] * vX_[1474] + vX_[1720] * vX_[1484] +
+ vX_[504] * vX_[1471] + vX_[1617] * vX_[1482] + vX_[1921] * vX_[1478] + vX_[1670] * vX_[277] * 0.33 +
+ (0 - vX_[1826]) * 0.35 + vX_[46] * vX_[277] * 0.33 + vX_[7925] * vX_[1568] + vX_[1837] * vX_[1566] +
+ vX_[503] * vX_[1559] + vX_[495] * vX_[1512] + (vX_[7798] * vX_[279] + vX_[7799] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[7737] * vX_[1550] + vX_[9368] * vX_[1126]) - (vX_[7728] * vX_[1240] + vX_[7520] * vX_[1767]) +
+ (vX_[7740] * vX_[1240] + vX_[552] * vX_[331] + vX_[7771] * vX_[322] + vX_[7739] * vX_[330] +
+ vX_[7732] * vX_[329] + (0 - (vX_[7736] + vX_[9191] * vX_[317] + vX_[7771] * vX_[321])) * 4.027 +
+ vX_[1723] * vX_[308] + vX_[1905] * vX_[302] + vX_[9063] * vX_[310] + vX_[4114] * vX_[342] +
+ vX_[7520] * vX_[1274]) *
+ 0.08 -
+ (vX_[7744] * vX_[923] + vX_[7742] * vX_[1155] + vX_[1897] * vX_[359] + vX_[5] * vX_[361] +
+ vX_[1953] * vX_[330] + vX_[1305] * vX_[358] + vX_[1946] * vX_[372] + vX_[9085] * vX_[315] +
+ vX_[1910] * vX_[384] + vX_[1949] * vX_[319] + vX_[1901] * vX_[309] + vX_[9064] * vX_[383] +
+ vX_[7704] * vX_[313] + vX_[1950] * vX_[302] + vX_[559] * vX_[314] + vX_[464] * vX_[308] +
+ vX_[831] * vX_[320] + vX_[1824] * vX_[323] + vX_[1140] * vX_[347] + vX_[1732] * vX_[349] +
+ vX_[1931] * vX_[374] + vX_[1931] * vX_[375] + vX_[1940] * vX_[373] + vX_[4100] * vX_[346] +
+ vX_[1822] * vX_[343] + vX_[8684] * vX_[1130] + vX_[9373] * vX_[1026]) +
+ vX_[1549] * vX_[273] + vX_[7365] * vX_[1630] + vX_[7763] * vX_[1403] + vX_[1803] * vX_[1637] +
+ vX_[1797] * vX_[1633] + vX_[7762] * vX_[1411] + vX_[9084] * vX_[1407] + vX_[7956] * vX_[1584] +
+ vX_[7778] * vX_[279] + vX_[1791] * vX_[1644] + vX_[1789] * vX_[1642] + vX_[9364] * vX_[1419] +
+ vX_[1831] * vX_[1417] + vX_[2785] * vX_[1584] + vX_[9371] * vX_[273] + vX_[1783] * vX_[354] +
+ vX_[3268] * vX_[277] + vX_[7758] * vX_[1444] + (0 - vX_[7798]) * 0.35 + vX_[7344] * vX_[277] * 0.33 +
+ vX_[1839] * vX_[1493] + vX_[1730] * vX_[1514] + (0 - vX_[9201]) * 0.35 + vX_[7766] * vX_[1533] +
+ vX_[9372] * vX_[1525] + vX_[9363] * vX_[1478] + vX_[494] * vX_[1471] + vX_[1721] * vX_[1486] +
+ vX_[1717] * vX_[1476] + vX_[606] * vX_[1474] + vX_[9350] * vX_[1480] + vX_[1815] * vX_[1473] * 0.33 +
+ vX_[1826] * vX_[1473] * 0.33 + vX_[1834] * vX_[1564] + vX_[493] * vX_[1557] + (0 - vX_[7799]) * 0.35 +
+ vX_[9330] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[9215] = vX_[9317] * vX_[354] + vX_[1958] * vX_[273] + vX_[434] * vX_[369] + vX_[9344] * vX_[355] +
+ vX_[9215] * vX_[274] + vX_[8147] * vX_[840];
+ vX_[9344] = 0 - vX_[9215];
+ vX_[9292] = 0 - (vX_[9314] * vX_[367] + vX_[9295] * vX_[354] + vX_[9328] * vX_[273] + vX_[1655] * vX_[274] +
+ vX_[9292] * vX_[355] + vX_[9246] * vX_[369] + vX_[8123] * vX_[840] + vX_[8156] * vX_[830]);
+ vX_[9312] = vX_[7994] + vX_[9312] * vX_[367] + vX_[9328] * vX_[354];
+ vX_[9182] = vX_[9312] + vX_[9182] * vX_[274] + vX_[620] * vX_[369] + vX_[8156] * vX_[840];
+ vX_[620] = 0 - vX_[9182];
+ vX_[9180] =
+ vX_[616] + vX_[9180] * vX_[274] + vX_[9214] * vX_[369] * 2. + vX_[8156] * vX_[915] + vX_[8159] * vX_[840];
+ vX_[9214] = 0 - vX_[9180];
+ vX_[8625] = vX_[9283] + vX_[2024] * vX_[274] + vX_[8625] * vX_[369] + vX_[8156] * vX_[841] + vX_[8161] * vX_[840];
+ vX_[9283] = 0 - vX_[8625];
+ vX_[2024] = (vX_[620] * vX_[316] + vX_[9214] * vX_[376] + vX_[9283] * vX_[385]) * 1 / vX_[351];
+ vX_[620] = vX_[8157] * vX_[1466] + vX_[9344] * vX_[364] + vX_[9292] * vX_[352] + vX_[620] * vX_[379] + vX_[2024];
+ vX_[2088] = vX_[4133] + vX_[4106] * vX_[355] + vX_[2088] * vX_[274] * 2. + vX_[8147] * vX_[841];
+ vX_[4133] = vX_[2088] * vX_[304] + vX_[8625] * vX_[276];
+ vX_[616] = vX_[2088] * vX_[276] + vX_[8625] * vX_[303];
+ vX_[9247] = vX_[470] + vX_[9247] * vX_[274] + vX_[4127] * vX_[355] * 2. + vX_[8147] * vX_[915];
+ vX_[9190] = 0 - (0 - (vX_[9317] * vX_[367] + vX_[1957] * vX_[354]) + vX_[489] * vX_[369] + vX_[9220] * vX_[274] +
+ vX_[9190] * vX_[355] + vX_[8147] * vX_[830]);
+ vX_[9314] = vX_[7994] + vX_[9314] * vX_[354] + vX_[9352] * vX_[273];
+ vX_[9293] = 0 - (vX_[9314] + vX_[9293] * vX_[355] + vX_[8858] * vX_[369] + vX_[8123] * vX_[830]);
+ vX_[9219] =
+ 0 - (vX_[9219] + vX_[4124] * vX_[355] + vX_[4106] * vX_[369] + vX_[8123] * vX_[915] + vX_[8159] * vX_[830]);
+ vX_[9200] =
+ vX_[8849] + vX_[9200] * vX_[355] + vX_[1624] * vX_[369] * 2. + vX_[8123] * vX_[841] + vX_[8161] * vX_[830];
+ vX_[8849] = 0 - vX_[9200];
+ vX_[9292] =
+ (vX_[9293] * vX_[325] + vX_[9292] * vX_[316] + vX_[9219] * vX_[376] + vX_[8849] * vX_[385]) * 1 / vX_[351];
+ vX_[9293] = 0 - vX_[9247] + vX_[8155] * vX_[1466] + vX_[9190] * vX_[364] + vX_[9293] * vX_[352] + vX_[9292];
+ vX_[8123] = 0 - vX_[2088];
+ vX_[4106] = vX_[4106] + vX_[8159] * vX_[841] + vX_[8161] * vX_[915];
+ vX_[4124] = 0 - vX_[4106];
+ vX_[1624] = vX_[1624] + vX_[8161] * vX_[841];
+ vX_[8858] = 0 - vX_[1624];
+ vX_[9352] = vX_[8858] * vX_[385] * 1 / vX_[351];
+ vX_[8858] = vX_[8162] * vX_[1466] + vX_[8123] * vX_[364] + vX_[8849] * vX_[352] + vX_[9283] * vX_[379] +
+ vX_[4124] * vX_[538] + vX_[8858] * vX_[547] + vX_[9352];
+ vX_[8849] = 0 - vX_[9247];
+ vX_[4127] = vX_[4127] + vX_[8159] * vX_[915];
+ vX_[9283] = 0 - vX_[4127];
+ vX_[4124] = (vX_[9283] * vX_[376] + vX_[4124] * vX_[385]) * 1 / vX_[351];
+ vX_[9283] = vX_[8160] * vX_[1466] + vX_[8849] * vX_[364] + vX_[9219] * vX_[352] + vX_[9214] * vX_[379] +
+ vX_[9283] * vX_[538] + vX_[4124];
+ vX_[9314] = vX_[2825] + vX_[7571] + vX_[7994] - vX_[9314] - vX_[9312] + vX_[444] * vX_[355] + vX_[9252] * vX_[274];
+ vX_[9312] = vX_[9314] - vX_[9182];
+ vX_[9252] = vX_[9312] * vX_[304] + vX_[9215] * vX_[276];
+ vX_[444] = vX_[9312] * vX_[276] + vX_[9215] * vX_[303];
+ vX_[9314] = 0 - vX_[9314];
+ vX_[8849] = (vX_[9314] * vX_[363] + vX_[9190] * vX_[325] + vX_[9344] * vX_[316] + vX_[8849] * vX_[376] +
+ vX_[8123] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[9314] = vX_[8151] * vX_[1466] + vX_[9314] * vX_[364] + vX_[8849];
+ vX_[8123] = vX_[620] * vX_[276] + vX_[9314] * vX_[304];
+ vX_[9190] = vX_[620] * vX_[303] + vX_[9314] * vX_[276];
+ vX_[9200] = vX_[9180] - vX_[9200];
+ vX_[8849] = 0 - vX_[8151] * vX_[3742] - vX_[8155] * vX_[1778] - vX_[8157] * vX_[1404] - vX_[8158] * vX_[1304] +
+ vX_[8158] * vX_[1466] - vX_[8160] * vX_[1395] - vX_[8162] * vX_[1237] - vX_[8849] * vX_[364] -
+ vX_[9292] * vX_[352] - vX_[2024] * vX_[379] - vX_[4124] * vX_[538] - vX_[9352] * vX_[547];
+ vX_[4124] = 0 - vX_[1624] + vX_[8849];
+ vX_[9352] = vX_[4124] * vX_[304] + vX_[8858] * vX_[276];
+ vX_[9292] = vX_[4124] * vX_[276] + vX_[8858] * vX_[303];
+ vX_[2024] = vX_[9352] * vX_[276] + vX_[9292] * vX_[304];
+ vX_[8162] = vX_[1624] + vX_[9352] * vX_[304];
+ vX_[8160] = vX_[1624] + vX_[9292] * vX_[276];
+ vX_[8849] = vX_[4127] + vX_[1624] + vX_[8849] - vX_[8162] - vX_[8160];
+ vX_[4127] = 0 - vX_[8849];
+ vX_[1624] = vX_[9247] * vX_[304] + vX_[9180] * vX_[276];
+ vX_[8158] = vX_[1624] + vX_[4127] * vX_[317];
+ vX_[8157] = 0 - vX_[8158];
+ vX_[1624] = 0 - (vX_[9200] * vX_[276] + vX_[9293] * vX_[303]) + vX_[1624];
+ vX_[8155] = vX_[9247] * vX_[276] + vX_[9180] * vX_[303];
+ vX_[8151] = vX_[8155] + vX_[8849] * vX_[321];
+ vX_[9344] = 0 - vX_[8151];
+ vX_[9219] = 0 - (vX_[4106] * vX_[276] + vX_[9283] * vX_[303]) + vX_[4106] * vX_[276] * 2.;
+ vX_[9214] = 0 - vX_[9219];
+ vX_[1957] = vX_[4106] * vX_[304] + vX_[9283] * vX_[276] + vX_[4106] * vX_[303] * 2.;
+ vX_[9317] = 0 - vX_[1957];
+ vX_[8198] = vX_[8198] * vX_[2057];
+ vX_[8197] = vX_[8197] * vX_[2057] + vX_[8191] * vX_[1596];
+ vX_[8191] = 0 - vX_[8197];
+ vX_[8192] = vX_[8192] * vX_[1596];
+ vX_[9220] = 0 - vX_[8207];
+ vX_[489] = vX_[9220] * x_in[19] + vX_[9310] * x_in[20];
+ vX_[470] = vX_[9307] * x_in[29];
+ vX_[9328] = 0 - vX_[470];
+ vX_[9295] = vX_[9307] * x_in[28];
+ vX_[1655] = 0 - vX_[9295];
+ vX_[8217] = vX_[8190] * vX_[2045] + vX_[8217] * vX_[2050];
+ vX_[8218] = vX_[8218] * vX_[1562];
+ vX_[8190] = 0 - vX_[8160];
+ vX_[8155] = vX_[9200] * vX_[304] + vX_[9293] * vX_[276] + vX_[8155];
+ vX_[9246] = 0 - vX_[2024];
+ vX_[434] = 0 - vX_[8160];
+ vX_[1958] = 0 - vX_[8198] - vX_[8192];
+ vX_[7771] = 0 - vX_[8217];
+ vX_[1739] = 0 - vX_[489] - vX_[8218];
+ jac[393] =
+ 0 -
+ (vX_[8156] * vX_[1240] + vX_[8161] * vX_[923] + vX_[9215] * vX_[359] + vX_[620] * vX_[309] +
+ vX_[9180] * vX_[372] + vX_[8625] * vX_[384] + vX_[4133] * vX_[313] + vX_[616] * vX_[302] +
+ vX_[9293] * vX_[320] + vX_[8858] * vX_[347] + vX_[4106] * vX_[592] + vX_[9283] * vX_[375] +
+ vX_[2416] * vX_[1126] + vX_[479] * vX_[1130] - (vX_[8147] * vX_[1550] + vX_[417] * vX_[1767]) +
+ (vX_[8159] * vX_[1550] + vX_[417] * vX_[1274]) * 0.08 -
+ (vX_[8163] * vX_[1155] + vX_[9312] * vX_[361] + vX_[9252] * vX_[360] + vX_[444] * vX_[330] +
+ vX_[9247] * vX_[319] + vX_[2088] * vX_[383] + vX_[9314] * vX_[315] + vX_[8123] * vX_[314] +
+ vX_[9190] * vX_[308] + vX_[9200] * vX_[323] + vX_[4124] * vX_[349] + vX_[4106] * vX_[373] +
+ vX_[9352] * vX_[299] + vX_[9292] * vX_[346] +
+ (vX_[2024] * vX_[322] + vX_[4127] * vX_[332] + vX_[8162] * vX_[318] + vX_[8157] * vX_[328] +
+ (vX_[1624] + vX_[8162] * vX_[317]) * 4.027 + vX_[9344] * vX_[330] + vX_[9214] * vX_[314] +
+ vX_[9317] * vX_[313] + vX_[2024] * vX_[297] + vX_[8162] * vX_[348]) *
+ 0.08 +
+ vX_[461] * vX_[1026]) +
+ vX_[9291] * vX_[1391] + vX_[9290] * vX_[354] - vX_[8198] * vX_[279] + vX_[8199] * 0.35 +
+ vX_[9289] * vX_[1636] + vX_[8701] * vX_[1634] + vX_[8181] * vX_[1410] + vX_[467] * vX_[1408] +
+ vX_[9086] * vX_[1582] + vX_[9287] * vX_[1599] + vX_[8191] * vX_[277] + vX_[9286] * vX_[1645] +
+ vX_[9284] * vX_[1641] + vX_[466] * vX_[1420] + vX_[449] * vX_[1416] + vX_[390] * vX_[1588] +
+ vX_[492] * vX_[273] + vX_[8794] * vX_[354] - vX_[8192] * vX_[279] + vX_[8194] * vX_[1448] +
+ vX_[505] * vX_[1446] + vX_[8202] * vX_[1595] + vX_[8193] * vX_[1593] + vX_[9303] * vX_[1497] +
+ vX_[9299] * vX_[1495] + vX_[9230] * vX_[1516] + vX_[489] * vX_[1473] * -0.33 + vX_[468] * vX_[1531] +
+ vX_[480] * vX_[1523] + vX_[9260] * vX_[1529] + vX_[8679] * vX_[1474] + vX_[9276] * vX_[1484] +
+ vX_[8681] * vX_[1471] + vX_[462] * vX_[1482] + vX_[448] * vX_[1478] + vX_[9328] * vX_[277] * 0.33 +
+ (0 - vX_[9295]) * 0.35 + vX_[1655] * vX_[277] * 0.33 + vX_[8344] * vX_[1568] + vX_[8695] * vX_[1566] +
+ vX_[8002] * vX_[1559] + vX_[1780] * vX_[1512] + (vX_[8217] * vX_[279] + vX_[8218] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[8156] * vX_[1550] + vX_[417] * vX_[1126]) - (vX_[8147] * vX_[1240] + vX_[2416] * vX_[1767]) +
+ (vX_[8159] * vX_[1240] + vX_[8849] * vX_[331] + vX_[8190] * vX_[322] + vX_[8158] * vX_[330] +
+ vX_[8151] * vX_[329] + (0 - (vX_[8155] + vX_[2024] * vX_[317] + vX_[8190] * vX_[321])) * 4.027 +
+ vX_[9219] * vX_[308] + vX_[1957] * vX_[302] + vX_[9246] * vX_[310] + vX_[434] * vX_[342] +
+ vX_[2416] * vX_[1274]) *
+ 0.08 -
+ (vX_[8163] * vX_[923] + vX_[8161] * vX_[1155] + vX_[9312] * vX_[359] + vX_[9215] * vX_[361] +
+ vX_[9252] * vX_[330] + vX_[444] * vX_[358] + vX_[9247] * vX_[372] + vX_[620] * vX_[315] +
+ vX_[2088] * vX_[384] + vX_[9180] * vX_[319] + vX_[9314] * vX_[309] + vX_[8625] * vX_[383] +
+ vX_[8123] * vX_[313] + vX_[9190] * vX_[302] + vX_[4133] * vX_[314] + vX_[616] * vX_[308] +
+ vX_[9200] * vX_[320] + vX_[9293] * vX_[323] + vX_[4124] * vX_[347] + vX_[8858] * vX_[349] +
+ vX_[4106] * vX_[374] + vX_[4106] * vX_[375] + vX_[9283] * vX_[373] + vX_[9352] * vX_[346] +
+ vX_[9292] * vX_[343] + vX_[461] * vX_[1130] + vX_[479] * vX_[1026]) +
+ vX_[441] * vX_[273] + vX_[7792] * vX_[1630] + vX_[8182] * vX_[1403] + vX_[9289] * vX_[1637] +
+ vX_[9288] * vX_[1633] + vX_[8181] * vX_[1411] + vX_[447] * vX_[1407] + vX_[2929] * vX_[1584] +
+ vX_[8197] * vX_[279] + vX_[9286] * vX_[1644] + vX_[9284] * vX_[1642] + vX_[466] * vX_[1419] +
+ vX_[449] * vX_[1417] + vX_[650] * vX_[1584] + vX_[477] * vX_[273] + vX_[9278] * vX_[354] +
+ vX_[1958] * vX_[277] + vX_[8177] * vX_[1444] + (0 - vX_[8217]) * 0.35 + vX_[7771] * vX_[277] * 0.33 +
+ vX_[9298] * vX_[1493] + vX_[9259] * vX_[1514] + (0 - vX_[489]) * 0.35 + vX_[8185] * vX_[1533] +
+ vX_[478] * vX_[1525] + vX_[465] * vX_[1478] + vX_[9253] * vX_[1471] + vX_[9277] * vX_[1486] +
+ vX_[9269] * vX_[1476] + vX_[1571] * vX_[1474] + vX_[450] * vX_[1480] + vX_[470] * vX_[1473] * 0.33 +
+ vX_[9295] * vX_[1473] * 0.33 + vX_[8682] * vX_[1564] + vX_[1811] * vX_[1557] + (0 - vX_[8218]) * 0.35 +
+ vX_[1739] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[1859] = vX_[2847] * vX_[354] + vX_[9241] * vX_[273] + vX_[9160] * vX_[369] + vX_[9146] * vX_[355] +
+ vX_[1859] * vX_[274] + vX_[8576] * vX_[840];
+ vX_[9146] = 0 - vX_[1859];
+ vX_[7777] = 0 - (vX_[2448] * vX_[367] + vX_[2754] * vX_[354] + vX_[9322] * vX_[273] + vX_[9165] * vX_[274] +
+ vX_[7777] * vX_[355] + vX_[1156] * vX_[369] + vX_[8552] * vX_[840] + vX_[8585] * vX_[830]);
+ vX_[1157] = vX_[8423] + vX_[1157] * vX_[367] + vX_[9322] * vX_[354];
+ vX_[9157] = vX_[1157] + vX_[9157] * vX_[274] + vX_[8272] * vX_[369] + vX_[8585] * vX_[840];
+ vX_[8272] = 0 - vX_[9157];
+ vX_[8252] =
+ vX_[9150] + vX_[8252] * vX_[274] + vX_[1191] * vX_[369] * 2. + vX_[8585] * vX_[915] + vX_[8588] * vX_[840];
+ vX_[1191] = 0 - vX_[8252];
+ vX_[1152] = vX_[1864] + vX_[9142] * vX_[274] + vX_[1152] * vX_[369] + vX_[8585] * vX_[841] + vX_[8590] * vX_[840];
+ vX_[1864] = 0 - vX_[1152];
+ vX_[9142] = (vX_[8272] * vX_[316] + vX_[1191] * vX_[376] + vX_[1864] * vX_[385]) * 1 / vX_[351];
+ vX_[8272] = vX_[8586] * vX_[1466] + vX_[9146] * vX_[364] + vX_[7777] * vX_[352] + vX_[8272] * vX_[379] + vX_[9142];
+ vX_[2478] = vX_[9156] + vX_[9175] * vX_[355] + vX_[2478] * vX_[274] * 2. + vX_[8576] * vX_[841];
+ vX_[9156] = vX_[2478] * vX_[304] + vX_[1152] * vX_[276];
+ vX_[9150] = vX_[2478] * vX_[276] + vX_[1152] * vX_[303];
+ vX_[7583] = vX_[9163] + vX_[7583] * vX_[274] + vX_[9170] * vX_[355] * 2. + vX_[8576] * vX_[915];
+ vX_[1259] = 0 - (0 - (vX_[2847] * vX_[367] + vX_[7998] * vX_[354]) + vX_[8253] * vX_[369] + vX_[2465] * vX_[274] +
+ vX_[1259] * vX_[355] + vX_[8576] * vX_[830]);
+ vX_[2448] = vX_[8423] + vX_[2448] * vX_[354] + vX_[9036] * vX_[273];
+ vX_[2455] = 0 - (vX_[2448] + vX_[2455] * vX_[355] + vX_[9138] * vX_[369] + vX_[8552] * vX_[830]);
+ vX_[9136] =
+ 0 - (vX_[9136] + vX_[9148] * vX_[355] + vX_[9175] * vX_[369] + vX_[8552] * vX_[915] + vX_[8588] * vX_[830]);
+ vX_[8365] =
+ vX_[9144] + vX_[8365] * vX_[355] + vX_[9168] * vX_[369] * 2. + vX_[8552] * vX_[841] + vX_[8590] * vX_[830];
+ vX_[9144] = 0 - vX_[8365];
+ vX_[7777] =
+ (vX_[2455] * vX_[325] + vX_[7777] * vX_[316] + vX_[9136] * vX_[376] + vX_[9144] * vX_[385]) * 1 / vX_[351];
+ vX_[2455] = 0 - vX_[7583] + vX_[8584] * vX_[1466] + vX_[1259] * vX_[364] + vX_[2455] * vX_[352] + vX_[7777];
+ vX_[8552] = 0 - vX_[2478];
+ vX_[9175] = vX_[9175] + vX_[8588] * vX_[841] + vX_[8590] * vX_[915];
+ vX_[9148] = 0 - vX_[9175];
+ vX_[9168] = vX_[9168] + vX_[8590] * vX_[841];
+ vX_[9138] = 0 - vX_[9168];
+ vX_[9036] = vX_[9138] * vX_[385] * 1 / vX_[351];
+ vX_[9138] = vX_[8591] * vX_[1466] + vX_[8552] * vX_[364] + vX_[9144] * vX_[352] + vX_[1864] * vX_[379] +
+ vX_[9148] * vX_[538] + vX_[9138] * vX_[547] + vX_[9036];
+ vX_[9144] = 0 - vX_[7583];
+ vX_[9170] = vX_[9170] + vX_[8588] * vX_[915];
+ vX_[1864] = 0 - vX_[9170];
+ vX_[9148] = (vX_[1864] * vX_[376] + vX_[9148] * vX_[385]) * 1 / vX_[351];
+ vX_[1864] = vX_[8589] * vX_[1466] + vX_[9144] * vX_[364] + vX_[9136] * vX_[352] + vX_[1191] * vX_[379] +
+ vX_[1864] * vX_[538] + vX_[9148];
+ vX_[2448] = vX_[1454] + vX_[7990] + vX_[8423] - vX_[2448] - vX_[1157] + vX_[9161] * vX_[355] + vX_[8267] * vX_[274];
+ vX_[1157] = vX_[2448] - vX_[9157];
+ vX_[8267] = vX_[1157] * vX_[304] + vX_[1859] * vX_[276];
+ vX_[9161] = vX_[1157] * vX_[276] + vX_[1859] * vX_[303];
+ vX_[2448] = 0 - vX_[2448];
+ vX_[9144] = (vX_[2448] * vX_[363] + vX_[1259] * vX_[325] + vX_[9146] * vX_[316] + vX_[9144] * vX_[376] +
+ vX_[8552] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[2448] = vX_[8580] * vX_[1466] + vX_[2448] * vX_[364] + vX_[9144];
+ vX_[8552] = vX_[8272] * vX_[276] + vX_[2448] * vX_[304];
+ vX_[1259] = vX_[8272] * vX_[303] + vX_[2448] * vX_[276];
+ vX_[8365] = vX_[8252] - vX_[8365];
+ vX_[9144] = 0 - vX_[8580] * vX_[3742] - vX_[8584] * vX_[1778] - vX_[8586] * vX_[1404] - vX_[8587] * vX_[1304] +
+ vX_[8587] * vX_[1466] - vX_[8589] * vX_[1395] - vX_[8591] * vX_[1237] - vX_[9144] * vX_[364] -
+ vX_[7777] * vX_[352] - vX_[9142] * vX_[379] - vX_[9148] * vX_[538] - vX_[9036] * vX_[547];
+ vX_[9148] = 0 - vX_[9168] + vX_[9144];
+ vX_[9036] = vX_[9148] * vX_[304] + vX_[9138] * vX_[276];
+ vX_[7777] = vX_[9148] * vX_[276] + vX_[9138] * vX_[303];
+ vX_[9142] = vX_[9036] * vX_[276] + vX_[7777] * vX_[304];
+ vX_[8591] = vX_[9168] + vX_[9036] * vX_[304];
+ vX_[8589] = vX_[9168] + vX_[7777] * vX_[276];
+ vX_[9144] = vX_[9170] + vX_[9168] + vX_[9144] - vX_[8591] - vX_[8589];
+ vX_[9170] = 0 - vX_[9144];
+ vX_[9168] = vX_[7583] * vX_[304] + vX_[8252] * vX_[276];
+ vX_[8587] = vX_[9168] + vX_[9170] * vX_[317];
+ vX_[8586] = 0 - vX_[8587];
+ vX_[9168] = 0 - (vX_[8365] * vX_[276] + vX_[2455] * vX_[303]) + vX_[9168];
+ vX_[8584] = vX_[7583] * vX_[276] + vX_[8252] * vX_[303];
+ vX_[8580] = vX_[8584] + vX_[9144] * vX_[321];
+ vX_[9146] = 0 - vX_[8580];
+ vX_[9136] = 0 - (vX_[9175] * vX_[276] + vX_[1864] * vX_[303]) + vX_[9175] * vX_[276] * 2.;
+ vX_[1191] = 0 - vX_[9136];
+ vX_[7998] = vX_[9175] * vX_[304] + vX_[1864] * vX_[276] + vX_[9175] * vX_[303] * 2.;
+ vX_[2847] = 0 - vX_[7998];
+ vX_[8627] = vX_[8627] * vX_[2057];
+ vX_[8626] = vX_[8626] * vX_[2057] + vX_[8620] * vX_[1596];
+ vX_[8620] = 0 - vX_[8626];
+ vX_[8621] = vX_[8621] * vX_[1596];
+ vX_[2465] = 0 - vX_[8636];
+ vX_[8253] = vX_[2465] * x_in[19] + vX_[1865] * x_in[20];
+ vX_[9163] = vX_[8254] * x_in[29];
+ vX_[9322] = 0 - vX_[9163];
+ vX_[2754] = vX_[8254] * x_in[28];
+ vX_[9165] = 0 - vX_[2754];
+ vX_[8646] = vX_[8619] * vX_[2045] + vX_[8646] * vX_[2050];
+ vX_[8647] = vX_[8647] * vX_[1562];
+ vX_[8619] = 0 - vX_[8589];
+ vX_[8584] = vX_[8365] * vX_[304] + vX_[2455] * vX_[276] + vX_[8584];
+ vX_[1156] = 0 - vX_[9142];
+ vX_[9160] = 0 - vX_[8589];
+ vX_[9241] = 0 - vX_[8627] - vX_[8621];
+ vX_[8190] = 0 - vX_[8646];
+ vX_[4127] = 0 - vX_[8253] - vX_[8647];
+ jac[394] =
+ 0 -
+ (vX_[8585] * vX_[1240] + vX_[8590] * vX_[923] + vX_[1859] * vX_[359] + vX_[8272] * vX_[309] +
+ vX_[8252] * vX_[372] + vX_[1152] * vX_[384] + vX_[9156] * vX_[313] + vX_[9150] * vX_[302] +
+ vX_[2455] * vX_[320] + vX_[9138] * vX_[347] + vX_[9175] * vX_[592] + vX_[1864] * vX_[375] +
+ vX_[496] * vX_[1126] + vX_[2886] * vX_[1130] - (vX_[8576] * vX_[1550] + vX_[1995] * vX_[1767]) +
+ (vX_[8588] * vX_[1550] + vX_[1995] * vX_[1274]) * 0.08 -
+ (vX_[8592] * vX_[1155] + vX_[1157] * vX_[361] + vX_[8267] * vX_[360] + vX_[9161] * vX_[330] +
+ vX_[7583] * vX_[319] + vX_[2478] * vX_[383] + vX_[2448] * vX_[315] + vX_[8552] * vX_[314] +
+ vX_[1259] * vX_[308] + vX_[8365] * vX_[323] + vX_[9148] * vX_[349] + vX_[9175] * vX_[373] +
+ vX_[9036] * vX_[299] + vX_[7777] * vX_[346] +
+ (vX_[9142] * vX_[322] + vX_[9170] * vX_[332] + vX_[8591] * vX_[318] + vX_[8586] * vX_[328] +
+ (vX_[9168] + vX_[8591] * vX_[317]) * 4.027 + vX_[9146] * vX_[330] + vX_[1191] * vX_[314] +
+ vX_[2847] * vX_[313] + vX_[9142] * vX_[297] + vX_[8591] * vX_[348]) *
+ 0.08 +
+ vX_[8659] * vX_[1026]) +
+ vX_[2748] * vX_[1391] + vX_[7011] * vX_[354] - vX_[8627] * vX_[279] + vX_[8628] * 0.35 +
+ vX_[7577] * vX_[1636] + vX_[7585] * vX_[1634] + vX_[8610] * vX_[1410] + vX_[9226] * vX_[1408] +
+ vX_[9329] * vX_[1582] + vX_[2468] * vX_[1599] + vX_[8620] * vX_[277] + vX_[7152] * vX_[1645] +
+ vX_[2444] * vX_[1641] + vX_[8649] * vX_[1420] + vX_[8196] * vX_[1416] + vX_[9354] * vX_[1588] +
+ vX_[1766] * vX_[273] + vX_[2461] * vX_[354] - vX_[8621] * vX_[279] + vX_[8623] * vX_[1448] +
+ vX_[460] * vX_[1446] + vX_[8631] * vX_[1595] + vX_[8622] * vX_[1593] + vX_[1854] * vX_[1497] +
+ vX_[8235] * vX_[1495] + vX_[1036] * vX_[1516] + vX_[8253] * vX_[1473] * -0.33 + vX_[8683] * vX_[1531] +
+ vX_[9258] * vX_[1523] + vX_[1347] * vX_[1529] + vX_[2002] * vX_[1474] + vX_[1980] * vX_[1484] +
+ vX_[7847] * vX_[1471] + vX_[8662] * vX_[1482] + vX_[1236] * vX_[1478] + vX_[9322] * vX_[277] * 0.33 +
+ (0 - vX_[2754]) * 0.35 + vX_[9165] * vX_[277] * 0.33 + vX_[8773] * vX_[1568] + vX_[8230] * vX_[1566] +
+ vX_[7834] * vX_[1559] + vX_[2034] * vX_[1512] + (vX_[8646] * vX_[279] + vX_[8647] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[8585] * vX_[1550] + vX_[1995] * vX_[1126]) - (vX_[8576] * vX_[1240] + vX_[496] * vX_[1767]) +
+ (vX_[8588] * vX_[1240] + vX_[9144] * vX_[331] + vX_[8619] * vX_[322] + vX_[8587] * vX_[330] +
+ vX_[8580] * vX_[329] + (0 - (vX_[8584] + vX_[9142] * vX_[317] + vX_[8619] * vX_[321])) * 4.027 +
+ vX_[9136] * vX_[308] + vX_[7998] * vX_[302] + vX_[1156] * vX_[310] + vX_[9160] * vX_[342] +
+ vX_[496] * vX_[1274]) *
+ 0.08 -
+ (vX_[8592] * vX_[923] + vX_[8590] * vX_[1155] + vX_[1157] * vX_[359] + vX_[1859] * vX_[361] +
+ vX_[8267] * vX_[330] + vX_[9161] * vX_[358] + vX_[7583] * vX_[372] + vX_[8272] * vX_[315] +
+ vX_[2478] * vX_[384] + vX_[8252] * vX_[319] + vX_[2448] * vX_[309] + vX_[1152] * vX_[383] +
+ vX_[8552] * vX_[313] + vX_[1259] * vX_[302] + vX_[9156] * vX_[314] + vX_[9150] * vX_[308] +
+ vX_[8365] * vX_[320] + vX_[2455] * vX_[323] + vX_[9148] * vX_[347] + vX_[9138] * vX_[349] +
+ vX_[9175] * vX_[374] + vX_[9175] * vX_[375] + vX_[1864] * vX_[373] + vX_[9036] * vX_[346] +
+ vX_[7777] * vX_[343] + vX_[8659] * vX_[1130] + vX_[2886] * vX_[1026]) +
+ vX_[1467] * vX_[273] + vX_[8211] * vX_[1630] + vX_[8611] * vX_[1403] + vX_[7577] * vX_[1637] +
+ vX_[2430] * vX_[1633] + vX_[8610] * vX_[1411] + vX_[1231] * vX_[1407] + vX_[9355] * vX_[1584] +
+ vX_[8626] * vX_[279] + vX_[7152] * vX_[1644] + vX_[2444] * vX_[1642] + vX_[8649] * vX_[1419] +
+ vX_[8196] * vX_[1417] + vX_[1818] * vX_[1584] + vX_[9199] * vX_[273] + vX_[2907] * vX_[354] +
+ vX_[9241] * vX_[277] + vX_[8606] * vX_[1444] + (0 - vX_[8646]) * 0.35 + vX_[8190] * vX_[277] * 0.33 +
+ vX_[8233] * vX_[1493] + vX_[952] * vX_[1514] + (0 - vX_[8253]) * 0.35 + vX_[8614] * vX_[1533] +
+ vX_[9227] * vX_[1525] + vX_[8664] * vX_[1478] + vX_[2010] * vX_[1471] + vX_[1657] * vX_[1486] +
+ vX_[1888] * vX_[1476] + vX_[1989] * vX_[1474] + vX_[1828] * vX_[1480] + vX_[9163] * vX_[1473] * 0.33 +
+ vX_[2754] * vX_[1473] * 0.33 + vX_[8224] * vX_[1564] + vX_[2023] * vX_[1557] + (0 - vX_[8647]) * 0.35 +
+ vX_[4127] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[5399] = vX_[4488] * vX_[354] + vX_[838] * vX_[273] + vX_[7835] * vX_[369] + vX_[5252] * vX_[355] +
+ vX_[5399] * vX_[274] + vX_[8999] * vX_[840];
+ vX_[5252] = 0 - vX_[5399];
+ vX_[2497] = 0 - (vX_[7420] * vX_[367] + vX_[341] * vX_[354] + vX_[9139] * vX_[273] + vX_[6657] * vX_[274] +
+ vX_[2497] * vX_[355] + vX_[4920] * vX_[369] + vX_[1306] * vX_[840] + vX_[1352] * vX_[830]);
+ vX_[7407] = vX_[41] + vX_[7407] * vX_[367] + vX_[9139] * vX_[354];
+ vX_[5370] = vX_[7407] + vX_[5370] * vX_[274] + vX_[6592] * vX_[369] + vX_[1352] * vX_[840];
+ vX_[6592] = 0 - vX_[5370];
+ vX_[4471] =
+ vX_[7805] + vX_[4471] * vX_[274] + vX_[4248] * vX_[369] * 2. + vX_[1352] * vX_[915] + vX_[8972] * vX_[840];
+ vX_[4248] = 0 - vX_[4471];
+ vX_[6648] = vX_[5380] + vX_[7158] * vX_[274] + vX_[6648] * vX_[369] + vX_[1352] * vX_[841] + vX_[1344] * vX_[840];
+ vX_[5380] = 0 - vX_[6648];
+ vX_[7158] = (vX_[6592] * vX_[316] + vX_[4248] * vX_[376] + vX_[5380] * vX_[385]) * 1 / vX_[351];
+ vX_[6592] = vX_[1348] * vX_[1466] + vX_[5252] * vX_[364] + vX_[2497] * vX_[352] + vX_[6592] * vX_[379] + vX_[7158];
+ vX_[4480] = vX_[2493] + vX_[7156] * vX_[355] + vX_[4480] * vX_[274] * 2. + vX_[8999] * vX_[841];
+ vX_[2493] = vX_[4480] * vX_[304] + vX_[6648] * vX_[276];
+ vX_[840] = vX_[4480] * vX_[276] + vX_[6648] * vX_[303];
+ vX_[4469] = vX_[2490] + vX_[4469] * vX_[274] + vX_[4941] * vX_[355] * 2. + vX_[8999] * vX_[915];
+ vX_[4396] = 0 - (0 - (vX_[4488] * vX_[367] + vX_[8250] * vX_[354]) + vX_[7816] * vX_[369] + vX_[4392] * vX_[274] +
+ vX_[4396] * vX_[355] + vX_[8999] * vX_[830]);
+ vX_[7420] = vX_[41] + vX_[7420] * vX_[354] + vX_[9169] * vX_[273];
+ vX_[2423] = 0 - (vX_[7420] + vX_[2423] * vX_[355] + vX_[6725] * vX_[369] + vX_[1306] * vX_[830]);
+ vX_[4907] =
+ 0 - (vX_[4907] + vX_[4930] * vX_[355] + vX_[7156] * vX_[369] + vX_[1306] * vX_[915] + vX_[8972] * vX_[830]);
+ vX_[5104] =
+ vX_[4917] + vX_[5104] * vX_[355] + vX_[4932] * vX_[369] * 2. + vX_[1306] * vX_[841] + vX_[1344] * vX_[830];
+ vX_[4917] = 0 - vX_[5104];
+ vX_[2497] =
+ (vX_[2423] * vX_[325] + vX_[2497] * vX_[316] + vX_[4907] * vX_[376] + vX_[4917] * vX_[385]) * 1 / vX_[351];
+ vX_[2423] = 0 - vX_[4469] + vX_[1345] * vX_[1466] + vX_[4396] * vX_[364] + vX_[2423] * vX_[352] + vX_[2497];
+ vX_[830] = 0 - vX_[4480];
+ vX_[7156] = vX_[7156] + vX_[8972] * vX_[841] + vX_[1344] * vX_[915];
+ vX_[1306] = 0 - vX_[7156];
+ vX_[4932] = vX_[4932] + vX_[1344] * vX_[841];
+ vX_[841] = 0 - vX_[4932];
+ vX_[369] = vX_[841] * vX_[385] * 1 / vX_[351];
+ vX_[841] = vX_[9000] * vX_[1466] + vX_[830] * vX_[364] + vX_[4917] * vX_[352] + vX_[5380] * vX_[379] +
+ vX_[1306] * vX_[538] + vX_[841] * vX_[547] + vX_[369];
+ vX_[4917] = 0 - vX_[4469];
+ vX_[4941] = vX_[4941] + vX_[8972] * vX_[915];
+ vX_[915] = 0 - vX_[4941];
+ vX_[1306] = (vX_[915] * vX_[376] + vX_[1306] * vX_[385]) * 1 / vX_[351];
+ vX_[915] = vX_[8996] * vX_[1466] + vX_[4917] * vX_[364] + vX_[4907] * vX_[352] + vX_[4248] * vX_[379] +
+ vX_[915] * vX_[538] + vX_[1306];
+ vX_[7420] = vX_[9209] + vX_[1853] + vX_[41] - vX_[7420] - vX_[7407] + vX_[2861] * vX_[355] + vX_[4394] * vX_[274];
+ vX_[7407] = vX_[7420] - vX_[5370];
+ vX_[4394] = vX_[7407] * vX_[304] + vX_[5399] * vX_[276];
+ vX_[2861] = vX_[7407] * vX_[276] + vX_[5399] * vX_[303];
+ vX_[7420] = 0 - vX_[7420];
+ vX_[4917] = (vX_[7420] * vX_[363] + vX_[4396] * vX_[325] + vX_[5252] * vX_[316] + vX_[4917] * vX_[376] +
+ vX_[830] * vX_[385]) *
+ 1 / vX_[351];
+ vX_[7420] = vX_[1208] * vX_[1466] + vX_[7420] * vX_[364] + vX_[4917];
+ vX_[830] = vX_[6592] * vX_[276] + vX_[7420] * vX_[304];
+ vX_[4396] = vX_[6592] * vX_[303] + vX_[7420] * vX_[276];
+ vX_[5104] = vX_[4471] - vX_[5104];
+ vX_[4917] = 0 - vX_[1208] * vX_[3742] - vX_[1345] * vX_[1778] - vX_[1348] * vX_[1404] - vX_[1312] * vX_[1304] +
+ vX_[1312] * vX_[1466] - vX_[8996] * vX_[1395] - vX_[9000] * vX_[1237] - vX_[4917] * vX_[364] -
+ vX_[2497] * vX_[352] - vX_[7158] * vX_[379] - vX_[1306] * vX_[538] - vX_[369] * vX_[547];
+ vX_[1306] = 0 - vX_[4932] + vX_[4917];
+ vX_[369] = vX_[1306] * vX_[304] + vX_[841] * vX_[276];
+ vX_[2497] = vX_[1306] * vX_[276] + vX_[841] * vX_[303];
+ vX_[7158] = vX_[369] * vX_[276] + vX_[2497] * vX_[304];
+ vX_[1304] = vX_[4932] + vX_[369] * vX_[304];
+ vX_[3742] = vX_[4932] + vX_[2497] * vX_[276];
+ vX_[4917] = vX_[4941] + vX_[4932] + vX_[4917] - vX_[1304] - vX_[3742];
+ vX_[4941] = 0 - vX_[4917];
+ vX_[4932] = vX_[4469] * vX_[304] + vX_[4471] * vX_[276];
+ vX_[1778] = vX_[4932] + vX_[4941] * vX_[317];
+ vX_[1404] = 0 - vX_[1778];
+ vX_[4932] = 0 - (vX_[5104] * vX_[276] + vX_[2423] * vX_[303]) + vX_[4932];
+ vX_[1237] = vX_[4469] * vX_[276] + vX_[4471] * vX_[303];
+ vX_[1395] = vX_[1237] + vX_[4917] * vX_[321];
+ vX_[1466] = 0 - vX_[1395];
+ vX_[9000] = 0 - (vX_[7156] * vX_[276] + vX_[915] * vX_[303]) + vX_[7156] * vX_[276] * 2.;
+ vX_[8996] = 0 - vX_[9000];
+ vX_[1312] = vX_[7156] * vX_[304] + vX_[915] * vX_[276] + vX_[7156] * vX_[303] * 2.;
+ vX_[1348] = 0 - vX_[1312];
+ vX_[9038] = vX_[9038] * vX_[2057];
+ vX_[2057] = vX_[9037] * vX_[2057] + vX_[9031] * vX_[1596];
+ vX_[9037] = 0 - vX_[2057];
+ vX_[1596] = vX_[9032] * vX_[1596];
+ vX_[9032] = 0 - vX_[9047];
+ vX_[9031] = vX_[9032] * x_in[19] + vX_[1520] * x_in[20];
+ vX_[1345] = vX_[1606] * x_in[29];
+ vX_[1208] = 0 - vX_[1345];
+ vX_[547] = vX_[1606] * x_in[28];
+ vX_[538] = 0 - vX_[547];
+ vX_[2050] = vX_[9030] * vX_[2045] + vX_[9057] * vX_[2050];
+ vX_[9058] = vX_[9058] * vX_[1562];
+ vX_[1562] = 0 - vX_[3742];
+ vX_[1237] = vX_[5104] * vX_[304] + vX_[2423] * vX_[276] + vX_[1237];
+ vX_[2045] = 0 - vX_[7158];
+ vX_[9057] = 0 - vX_[3742];
+ vX_[9030] = 0 - vX_[9038] - vX_[1596];
+ vX_[379] = 0 - vX_[2050];
+ vX_[364] = 0 - vX_[9031] - vX_[9058];
+ jac[395] =
+ 0 -
+ (vX_[1352] * vX_[1240] + vX_[1344] * vX_[923] + vX_[5399] * vX_[359] + vX_[6592] * vX_[309] +
+ vX_[4471] * vX_[372] + vX_[6648] * vX_[384] + vX_[2493] * vX_[313] + vX_[840] * vX_[302] +
+ vX_[2423] * vX_[320] + vX_[841] * vX_[347] + vX_[7156] * vX_[592] + vX_[915] * vX_[375] +
+ vX_[1799] * vX_[1126] + vX_[2043] * vX_[1130] - (vX_[8999] * vX_[1550] + vX_[2064] * vX_[1767]) +
+ (vX_[8972] * vX_[1550] + vX_[2064] * vX_[1274]) * 0.08 -
+ (vX_[9003] * vX_[1155] + vX_[7407] * vX_[361] + vX_[4394] * vX_[360] + vX_[2861] * vX_[330] +
+ vX_[4469] * vX_[319] + vX_[4480] * vX_[383] + vX_[7420] * vX_[315] + vX_[830] * vX_[314] +
+ vX_[4396] * vX_[308] + vX_[5104] * vX_[323] + vX_[1306] * vX_[349] + vX_[7156] * vX_[373] +
+ vX_[369] * vX_[299] + vX_[2497] * vX_[346] +
+ (vX_[7158] * vX_[322] + vX_[4941] * vX_[332] + vX_[1304] * vX_[318] + vX_[1404] * vX_[328] +
+ (vX_[4932] + vX_[1304] * vX_[317]) * 4.027 + vX_[1466] * vX_[330] + vX_[8996] * vX_[314] +
+ vX_[1348] * vX_[313] + vX_[7158] * vX_[297] + vX_[1304] * vX_[348]) *
+ 0.08 +
+ vX_[7946] * vX_[1026]) +
+ vX_[2507] * vX_[1391] + vX_[1000] * vX_[354] - vX_[9038] * vX_[279] + vX_[9039] * 0.35 +
+ vX_[1149] * vX_[1636] + vX_[1511] * vX_[1634] + vX_[539] * vX_[1410] + vX_[9021] * vX_[1408] +
+ vX_[1388] * vX_[1582] + vX_[1477] * vX_[1599] + vX_[9037] * vX_[277] + vX_[1239] * vX_[1645] +
+ vX_[1245] * vX_[1641] + vX_[2071] * vX_[1420] + vX_[633] * vX_[1416] + vX_[2427] * vX_[1588] +
+ vX_[474] * vX_[273] + vX_[9019] * vX_[354] - vX_[1596] * vX_[279] + vX_[9034] * vX_[1448] +
+ vX_[1618] * vX_[1446] + vX_[9042] * vX_[1595] + vX_[9033] * vX_[1593] + vX_[1505] * vX_[1497] +
+ vX_[1342] * vX_[1495] + vX_[2039] * vX_[1516] + vX_[9031] * vX_[1473] * -0.33 + vX_[2066] * vX_[1531] +
+ vX_[2042] * vX_[1523] + vX_[391] * vX_[1529] + vX_[4509] * vX_[1474] + vX_[4505] * vX_[1484] +
+ vX_[4512] * vX_[1471] + vX_[2052] * vX_[1482] + vX_[2058] * vX_[1478] + vX_[1208] * vX_[277] * 0.33 +
+ (0 - vX_[547]) * 0.35 + vX_[538] * vX_[277] * 0.33 + vX_[1535] * vX_[1568] + vX_[1488] * vX_[1566] +
+ vX_[1556] * vX_[1559] + vX_[4522] * vX_[1512] + (vX_[2050] * vX_[279] + vX_[9058] * vX_[1473]) * -0.33) *
+ vX_[1432] +
+ (0 - (vX_[1352] * vX_[1550] + vX_[2064] * vX_[1126]) - (vX_[8999] * vX_[1240] + vX_[1799] * vX_[1767]) +
+ (vX_[8972] * vX_[1240] + vX_[4917] * vX_[331] + vX_[1562] * vX_[322] + vX_[1778] * vX_[330] +
+ vX_[1395] * vX_[329] + (0 - (vX_[1237] + vX_[7158] * vX_[317] + vX_[1562] * vX_[321])) * 4.027 +
+ vX_[9000] * vX_[308] + vX_[1312] * vX_[302] + vX_[2045] * vX_[310] + vX_[9057] * vX_[342] +
+ vX_[1799] * vX_[1274]) *
+ 0.08 -
+ (vX_[9003] * vX_[923] + vX_[1344] * vX_[1155] + vX_[7407] * vX_[359] + vX_[5399] * vX_[361] +
+ vX_[4394] * vX_[330] + vX_[2861] * vX_[358] + vX_[4469] * vX_[372] + vX_[6592] * vX_[315] +
+ vX_[4480] * vX_[384] + vX_[4471] * vX_[319] + vX_[7420] * vX_[309] + vX_[6648] * vX_[383] +
+ vX_[830] * vX_[313] + vX_[4396] * vX_[302] + vX_[2493] * vX_[314] + vX_[840] * vX_[308] +
+ vX_[5104] * vX_[320] + vX_[2423] * vX_[323] + vX_[1306] * vX_[347] + vX_[841] * vX_[349] +
+ vX_[7156] * vX_[374] + vX_[7156] * vX_[375] + vX_[915] * vX_[373] + vX_[369] * vX_[346] +
+ vX_[2497] * vX_[343] + vX_[7946] * vX_[1130] + vX_[2043] * vX_[1026]) +
+ vX_[7839] * vX_[273] + vX_[8640] * vX_[1630] + vX_[9022] * vX_[1403] + vX_[1149] * vX_[1637] +
+ vX_[1526] * vX_[1633] + vX_[539] * vX_[1411] + vX_[2087] * vX_[1407] + vX_[345] * vX_[1584] +
+ vX_[2057] * vX_[279] + vX_[1239] * vX_[1644] + vX_[1245] * vX_[1642] + vX_[2071] * vX_[1419] +
+ vX_[633] * vX_[1417] + vX_[2075] * vX_[1584] + vX_[2080] * vX_[273] + vX_[1521] * vX_[354] +
+ vX_[9030] * vX_[277] + vX_[1309] * vX_[1444] + (0 - vX_[2050]) * 0.35 + vX_[379] * vX_[277] * 0.33 +
+ vX_[1465] * vX_[1493] + vX_[7853] * vX_[1514] + (0 - vX_[9031]) * 0.35 + vX_[9025] * vX_[1533] +
+ vX_[2048] * vX_[1525] + vX_[1609] * vX_[1478] + vX_[7426] * vX_[1471] + vX_[9017] * vX_[1486] +
+ vX_[4503] * vX_[1476] + vX_[4495] * vX_[1474] + vX_[1241] * vX_[1480] + vX_[1345] * vX_[1473] * 0.33 +
+ vX_[547] * vX_[1473] * 0.33 + vX_[339] * vX_[1564] + vX_[4520] * vX_[1557] + (0 - vX_[9058]) * 0.35 +
+ vX_[364] * vX_[277] * 0.33) *
+ vX_[4319];
+ vX_[1363] = vX_[9353] + vX_[1944] * vX_[304] + vX_[1363] * vX_[317] + vX_[1377] * vX_[995];
+ vX_[1357] = vX_[9353] + vX_[9093] * vX_[276] + vX_[1357] * vX_[321] + vX_[1379] * vX_[1031];
+ vX_[9353] = vX_[1363] - vX_[1357];
+ vX_[9327] = vX_[1944] * vX_[276] + vX_[9093] * vX_[304] + vX_[1364] * vX_[321] + vX_[9327] * vX_[317] +
+ vX_[1377] * vX_[1031] + vX_[1379] * vX_[995];
+ vX_[1364] = vX_[9353] * vX_[277] + vX_[9327] * vX_[280];
+ vX_[9093] = vX_[9353] * vX_[279] + vX_[9327] * vX_[277];
+ vX_[1363] = 0 - vX_[1363];
+ vX_[1944] = 0 - vX_[9327];
+ vX_[9073] = vX_[1349] * vX_[304] + vX_[9105] * vX_[276] + vX_[9073] * vX_[317] + vX_[1377] * vX_[1144] +
+ vX_[1371] * vX_[995];
+ vX_[1562] = 0 - vX_[9073];
+ vX_[1902] = vX_[1349] * vX_[276] + vX_[9105] * vX_[303] + vX_[1902] * vX_[317] + vX_[1377] * vX_[1032] +
+ vX_[1385] * vX_[995];
+ vX_[1349] = 0 - vX_[1902];
+ vX_[9105] =
+ (vX_[1363] * vX_[311] + vX_[1944] * vX_[298] + vX_[1562] * vX_[307] + vX_[1349] * vX_[288]) * 1 / vX_[300];
+ vX_[1363] = vX_[1381] * vX_[1631] + vX_[1363] * vX_[312] + vX_[9105];
+ vX_[43] = vX_[1916] * vX_[304] + vX_[9117] * vX_[276] + vX_[43] * vX_[321] + vX_[1379] * vX_[1144] +
+ vX_[1371] * vX_[1031];
+ vX_[1357] = 0 - vX_[1357];
+ vX_[4941] = 0 - vX_[43];
+ vX_[9067] = vX_[1916] * vX_[276] + vX_[9117] * vX_[303] + vX_[9067] * vX_[321] + vX_[1379] * vX_[1032] +
+ vX_[1385] * vX_[1031];
+ vX_[1916] = 0 - vX_[9067];
+ vX_[9117] = (vX_[1357] * vX_[298] + vX_[4941] * vX_[307] + vX_[1916] * vX_[288]) * 1 / vX_[300];
+ vX_[1357] = vX_[1382] * vX_[1631] + vX_[1944] * vX_[312] + vX_[1357] * vX_[301] + vX_[9117];
+ vX_[3731] = vX_[1358] + vX_[47] * vX_[317] + vX_[3731] * vX_[321] * 2. + vX_[1370] * vX_[1032] - vX_[1357];
+ vX_[1358] = vX_[1368] + vX_[1371] * vX_[1144];
+ vX_[1366] = vX_[1366] + vX_[1385] * vX_[1032];
+ vX_[1944] = vX_[1358] - vX_[1366];
+ vX_[4917] = 0 - vX_[1358];
+ vX_[47] = vX_[47] + vX_[1371] * vX_[1032] + vX_[1385] * vX_[1144];
+ vX_[2497] = 0 - vX_[47];
+ vX_[369] = (vX_[4917] * vX_[307] + vX_[2497] * vX_[288]) * 1 / vX_[300];
+ vX_[4917] = vX_[1384] * vX_[1631] + vX_[1562] * vX_[312] + vX_[4941] * vX_[301] + vX_[4917] * vX_[344] + vX_[369];
+ vX_[4941] = 0 - vX_[1366];
+ vX_[1562] = vX_[4941] * vX_[288] * 1 / vX_[300];
+ vX_[4941] = vX_[1386] * vX_[1631] + vX_[1349] * vX_[312] + vX_[1916] * vX_[301] + vX_[2497] * vX_[344] +
+ vX_[4941] * vX_[340] + vX_[1562];
+ vX_[2497] = 0 - vX_[4941];
+ vX_[1916] = vX_[1944] * vX_[277] + vX_[47] * vX_[280];
+ vX_[1349] = vX_[1944] * vX_[279] + vX_[47] * vX_[277];
+ vX_[1306] = vX_[1366] + vX_[1916] * vX_[277];
+ vX_[5104] = vX_[1366] + vX_[1349] * vX_[279];
+ vX_[1562] = vX_[1358] + vX_[1366] + 0 - vX_[1381] * vX_[920] - vX_[1382] * vX_[924] - vX_[1383] * vX_[1154] +
+ vX_[1383] * vX_[1631] - vX_[1384] * vX_[1232] - vX_[1386] * vX_[1440] - vX_[9105] * vX_[312] -
+ vX_[9117] * vX_[301] - vX_[369] * vX_[344] - vX_[1562] * vX_[340] - vX_[1306] - vX_[5104];
+ vX_[369] = 0 - vX_[5104];
+ vX_[1366] = vX_[1363] * vX_[277] + vX_[1357] * vX_[280];
+ vX_[1358] = 0 - vX_[1562];
+ vX_[9117] = vX_[1366] + vX_[1358] * vX_[285];
+ vX_[9105] = vX_[1363] * vX_[279] + vX_[1357] * vX_[277];
+ vX_[1386] = vX_[9105] + vX_[1562] * vX_[282];
+ vX_[9239] = 0 - (vX_[1776] + vX_[9239] * vX_[321] + vX_[1368] * vX_[317] * 2. + vX_[1370] * vX_[1144]) + vX_[1363];
+ vX_[1776] = vX_[1916] * vX_[279] + vX_[1349] * vX_[277];
+ vX_[1368] = cos(x_in[11]);
+ vX_[1370] = 0 - vX_[4941];
+ vX_[1384] = sin(x_in[11]);
+ vX_[1383] = cos(x_in[11]);
+ jac[414] =
+ (vX_[1377] * vX_[1430] + vX_[1371] * vX_[2051] + vX_[9353] * vX_[326] + vX_[1364] * 0.00185880198235362 +
+ vX_[9093] * -7.4114911576828e-06 + vX_[1363] * vX_[296] + vX_[1902] * vX_[281] + vX_[9073] * vX_[306] +
+ (vX_[43] * vX_[280] + vX_[9073] * vX_[277]) * 8.81e-05 + vX_[3731] * vX_[291] + vX_[1944] * vX_[337] +
+ vX_[4917] * vX_[287] + vX_[2497] * vX_[283] + vX_[1916] * vX_[336] + vX_[1349] * vX_[335] +
+ vX_[551] * vX_[1460] + vX_[1891] * vX_[1547] - (vX_[1379] * vX_[2049] + vX_[691] * vX_[1116]) +
+ (vX_[1387] * vX_[1430] + vX_[1562] * vX_[293] + vX_[369] * vX_[294] + vX_[9117] * 0.00185880198235362 +
+ vX_[1386] * 0.880992588508842 +
+ (0 - (vX_[3731] * vX_[277] + vX_[9239] * vX_[280] + vX_[9105] + vX_[1776] * vX_[285] +
+ vX_[369] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[2497] * vX_[279] + vX_[4917] * vX_[277]) +
+ (vX_[4917] * vX_[277] + vX_[4941] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[1776]) * -0.1104774 + (0 - vX_[5104]) * 0.000881 + vX_[551] * vX_[1109]) *
+ 0.35 -
+ (vX_[1385] * vX_[1605] + vX_[9327] * vX_[327] + vX_[1357] * vX_[292] + vX_[43] * vX_[305] +
+ vX_[9067] * vX_[278] + (vX_[1902] * vX_[279] + vX_[9067] * vX_[277]) * -8.81e-05 +
+ vX_[9239] * vX_[295] + vX_[4941] * vX_[284] + vX_[47] * vX_[338] + vX_[4917] * vX_[286] +
+ vX_[8850] * vX_[1616]) +
+ vX_[1390] * vX_[1392] + vX_[1628] * vX_[1627] + vX_[1577] * vX_[1578] + vX_[1632] * vX_[1635] +
+ vX_[1406] * vX_[1409] + vX_[1581] * vX_[1583] + vX_[1396] * vX_[1425] + vX_[1598] * vX_[1600] +
+ vX_[1576] * vX_[275] + vX_[1640] * vX_[1643] + vX_[1415] * vX_[1418] + vX_[4134] * vX_[1590] +
+ vX_[1429] * vX_[1427] + vX_[1792] * vX_[1393] + vX_[1438] * vX_[1439] + vX_[1603] * vX_[1445] +
+ vX_[1592] * vX_[1558] + vX_[1648] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[1377] * vX_[2049] + vX_[1379] * vX_[1430] + vX_[1371] * vX_[1605] + vX_[1385] * vX_[2051] +
+ vX_[9353] * vX_[327] + vX_[9327] * vX_[326] + vX_[1364] * -0.466187537174287 +
+ vX_[9093] * 0.00185880198235362 + vX_[1363] * vX_[292] + vX_[1357] * vX_[296] + vX_[43] * vX_[306] +
+ vX_[1902] * vX_[278] + vX_[9073] * vX_[305] + vX_[9067] * vX_[281] +
+ (vX_[43] * vX_[277] + vX_[9073] * vX_[279]) * -8.81e-05 +
+ (vX_[1902] * vX_[277] + vX_[9067] * vX_[280]) * 8.81e-05 + vX_[3731] * vX_[295] + vX_[9239] * vX_[291] +
+ vX_[1944] * vX_[338] + vX_[4917] * vX_[284] + vX_[4941] * vX_[287] + vX_[47] * vX_[337] +
+ vX_[1370] * vX_[286] + vX_[4917] * vX_[283] + vX_[1916] * vX_[334] + vX_[1349] * vX_[336] +
+ (vX_[1776] * vX_[294] + vX_[1358] * vX_[289] + vX_[1306] * vX_[290] + (0 - vX_[9117]) * 0.414812462825713 +
+ (0 - (vX_[3731] * vX_[279] + vX_[9239] * vX_[277]) + vX_[1366] + vX_[1306] * vX_[285]) * 0.881 +
+ (0 - vX_[1386]) * 0.00185880198235362 +
+ (0 - (vX_[1370] * vX_[277] + vX_[4917] * vX_[280] +
+ (vX_[4917] * vX_[279] + vX_[4941] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[1776] * 0.0004405 + vX_[1306] * -0.2209548) *
+ -0.35 +
+ vX_[691] * vX_[1460] + vX_[551] * vX_[1116] + vX_[8850] * vX_[1547] + vX_[1891] * vX_[1616] +
+ (vX_[1387] * vX_[2049] + vX_[691] * vX_[1109]) * 0.35 + vX_[1626] * vX_[1627] + vX_[1397] * vX_[1398] +
+ vX_[1632] * vX_[1638] + vX_[1406] * vX_[1412] + vX_[1654] * vX_[1585] + vX_[1424] * vX_[1427] +
+ vX_[1796] * vX_[1393] + vX_[1436] * vX_[303] + vX_[1640] * vX_[1646] + vX_[1415] * vX_[1421] +
+ vX_[1587] * vX_[1589] + vX_[1372] * vX_[1425] + vX_[1601] * vX_[1602] + vX_[9054] * vX_[275] +
+ vX_[4121] * vX_[1447] + vX_[1592] * vX_[1594] + vX_[4482] * vX_[1434] + vX_[1844] * vX_[1496] +
+ vX_[1759] * vX_[1513] + vX_[1405] * vX_[1534] + vX_[9094] * vX_[1522] + vX_[1751] * vX_[1527] +
+ vX_[1745] * vX_[1487] + vX_[1722] * vX_[1475] + vX_[9376] * vX_[1479] + vX_[416] * vX_[1507] +
+ vX_[9110] * vX_[1510] + vX_[2054] * vX_[1567] + vX_[1701] * vX_[1513] + vX_[4323] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[1873] * vX_[1494] + vX_[1759] * vX_[1515] + vX_[9092] * vX_[1489] + vX_[1405] * vX_[1532] +
+ vX_[9094] * vX_[1524] + vX_[1751] * vX_[1528] + vX_[1746] * vX_[1485] + vX_[1736] * vX_[1472] +
+ vX_[9376] * vX_[1481] + vX_[9240] * vX_[1506] + vX_[1825] * vX_[1509] + vX_[1866] * vX_[1565] +
+ vX_[1701] * vX_[1558] + vX_[1649] * vX_[1433]) *
+ vX_[1383];
+ vX_[2286] = vX_[429] + vX_[8432] * vX_[304] + vX_[2286] * vX_[317] + vX_[2297] * vX_[995];
+ vX_[2280] = vX_[429] + vX_[463] * vX_[276] + vX_[2280] * vX_[321] + vX_[2298] * vX_[1031];
+ vX_[429] = vX_[2286] - vX_[2280];
+ vX_[9216] = vX_[8432] * vX_[276] + vX_[463] * vX_[304] + vX_[2287] * vX_[321] + vX_[9216] * vX_[317] +
+ vX_[2297] * vX_[1031] + vX_[2298] * vX_[995];
+ vX_[2287] = vX_[429] * vX_[277] + vX_[9216] * vX_[280];
+ vX_[463] = vX_[429] * vX_[279] + vX_[9216] * vX_[277];
+ vX_[2286] = 0 - vX_[2286];
+ vX_[8432] = 0 - vX_[9216];
+ vX_[9196] = vX_[2252] * vX_[304] + vX_[419] * vX_[276] + vX_[9196] * vX_[317] + vX_[2297] * vX_[1144] +
+ vX_[2294] * vX_[995];
+ vX_[1370] = 0 - vX_[9196];
+ vX_[8429] = vX_[2252] * vX_[276] + vX_[419] * vX_[303] + vX_[8429] * vX_[317] + vX_[2297] * vX_[1032] +
+ vX_[2303] * vX_[995];
+ vX_[2252] = 0 - vX_[8429];
+ vX_[419] =
+ (vX_[2286] * vX_[311] + vX_[8432] * vX_[298] + vX_[1370] * vX_[307] + vX_[2252] * vX_[288]) * 1 / vX_[300];
+ vX_[2286] = vX_[2299] * vX_[1631] + vX_[2286] * vX_[312] + vX_[419];
+ vX_[9211] = vX_[9217] * vX_[304] + vX_[9179] * vX_[276] + vX_[9211] * vX_[321] + vX_[2298] * vX_[1144] +
+ vX_[2294] * vX_[1031];
+ vX_[2280] = 0 - vX_[2280];
+ vX_[1776] = 0 - vX_[9211];
+ vX_[1951] = vX_[9217] * vX_[276] + vX_[9179] * vX_[303] + vX_[1951] * vX_[321] + vX_[2298] * vX_[1032] +
+ vX_[2303] * vX_[1031];
+ vX_[9217] = 0 - vX_[1951];
+ vX_[9179] = (vX_[2280] * vX_[298] + vX_[1776] * vX_[307] + vX_[9217] * vX_[288]) * 1 / vX_[300];
+ vX_[2280] = vX_[2300] * vX_[1631] + vX_[8432] * vX_[312] + vX_[2280] * vX_[301] + vX_[9179];
+ vX_[459] = vX_[2284] + vX_[1148] * vX_[317] + vX_[459] * vX_[321] * 2. + vX_[2293] * vX_[1032] - vX_[2280];
+ vX_[2284] = vX_[2291] + vX_[2294] * vX_[1144];
+ vX_[2289] = vX_[2289] + vX_[2303] * vX_[1032];
+ vX_[8432] = vX_[2284] - vX_[2289];
+ vX_[9239] = 0 - vX_[2284];
+ vX_[1148] = vX_[1148] + vX_[2294] * vX_[1032] + vX_[2303] * vX_[1144];
+ vX_[1386] = 0 - vX_[1148];
+ vX_[9105] = (vX_[9239] * vX_[307] + vX_[1386] * vX_[288]) * 1 / vX_[300];
+ vX_[9239] = vX_[2302] * vX_[1631] + vX_[1370] * vX_[312] + vX_[1776] * vX_[301] + vX_[9239] * vX_[344] + vX_[9105];
+ vX_[1776] = 0 - vX_[2289];
+ vX_[1370] = vX_[1776] * vX_[288] * 1 / vX_[300];
+ vX_[1776] = vX_[2304] * vX_[1631] + vX_[2252] * vX_[312] + vX_[9217] * vX_[301] + vX_[1386] * vX_[344] +
+ vX_[1776] * vX_[340] + vX_[1370];
+ vX_[1386] = 0 - vX_[1776];
+ vX_[9217] = vX_[8432] * vX_[277] + vX_[1148] * vX_[280];
+ vX_[2252] = vX_[8432] * vX_[279] + vX_[1148] * vX_[277];
+ vX_[9117] = vX_[2289] + vX_[9217] * vX_[277];
+ vX_[1358] = vX_[2289] + vX_[2252] * vX_[279];
+ vX_[1370] = vX_[2284] + vX_[2289] + 0 - vX_[2299] * vX_[920] - vX_[2300] * vX_[924] - vX_[2301] * vX_[1154] +
+ vX_[2301] * vX_[1631] - vX_[2302] * vX_[1232] - vX_[2304] * vX_[1440] - vX_[419] * vX_[312] -
+ vX_[9179] * vX_[301] - vX_[9105] * vX_[344] - vX_[1370] * vX_[340] - vX_[9117] - vX_[1358];
+ vX_[9105] = 0 - vX_[1358];
+ vX_[2289] = vX_[2286] * vX_[277] + vX_[2280] * vX_[280];
+ vX_[2284] = 0 - vX_[1370];
+ vX_[9179] = vX_[2289] + vX_[2284] * vX_[285];
+ vX_[419] = vX_[2286] * vX_[279] + vX_[2280] * vX_[277];
+ vX_[2304] = vX_[419] + vX_[1370] * vX_[282];
+ vX_[22] = 0 - (vX_[9078] + vX_[22] * vX_[321] + vX_[2291] * vX_[317] * 2. + vX_[2293] * vX_[1144]) + vX_[2286];
+ vX_[9078] = vX_[9217] * vX_[279] + vX_[2252] * vX_[277];
+ vX_[2291] = 0 - vX_[1776];
+ jac[415] =
+ (vX_[2297] * vX_[1430] + vX_[2294] * vX_[2051] + vX_[429] * vX_[326] + vX_[2287] * 0.00185880198235362 +
+ vX_[463] * -7.4114911576828e-06 + vX_[2286] * vX_[296] + vX_[8429] * vX_[281] + vX_[9196] * vX_[306] +
+ (vX_[9211] * vX_[280] + vX_[9196] * vX_[277]) * 8.81e-05 + vX_[459] * vX_[291] + vX_[8432] * vX_[337] +
+ vX_[9239] * vX_[287] + vX_[1386] * vX_[283] + vX_[9217] * vX_[336] + vX_[2252] * vX_[335] +
+ vX_[393] * vX_[1460] + vX_[9248] * vX_[1547] - (vX_[2298] * vX_[2049] + vX_[1373] * vX_[1116]) +
+ (vX_[2305] * vX_[1430] + vX_[1370] * vX_[293] + vX_[9105] * vX_[294] + vX_[9179] * 0.00185880198235362 +
+ vX_[2304] * 0.880992588508842 +
+ (0 - (vX_[459] * vX_[277] + vX_[22] * vX_[280] + vX_[419] + vX_[9078] * vX_[285] +
+ vX_[9105] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[1386] * vX_[279] + vX_[9239] * vX_[277]) +
+ (vX_[9239] * vX_[277] + vX_[1776] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[9078]) * -0.1104774 + (0 - vX_[1358]) * 0.000881 + vX_[393] * vX_[1109]) *
+ 0.35 -
+ (vX_[2303] * vX_[1605] + vX_[9216] * vX_[327] + vX_[2280] * vX_[292] + vX_[9211] * vX_[305] +
+ vX_[1951] * vX_[278] + (vX_[8429] * vX_[279] + vX_[1951] * vX_[277]) * -8.81e-05 + vX_[22] * vX_[295] +
+ vX_[1776] * vX_[284] + vX_[1148] * vX_[338] + vX_[9239] * vX_[286] + vX_[453] * vX_[1616]) +
+ vX_[2307] * vX_[1392] + vX_[2342] * vX_[1627] + vX_[2327] * vX_[1578] + vX_[2344] * vX_[1635] +
+ vX_[2313] * vX_[1409] + vX_[2329] * vX_[1583] + vX_[2308] * vX_[1425] + vX_[2333] * vX_[1600] +
+ vX_[2326] * vX_[275] + vX_[2345] * vX_[1643] + vX_[2315] * vX_[1418] + vX_[406] * vX_[1590] +
+ vX_[2318] * vX_[1427] + vX_[8717] * vX_[1393] + vX_[2321] * vX_[1439] + vX_[2335] * vX_[1445] +
+ vX_[2331] * vX_[1558] + vX_[2346] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[2297] * vX_[2049] + vX_[2298] * vX_[1430] + vX_[2294] * vX_[1605] + vX_[2303] * vX_[2051] +
+ vX_[429] * vX_[327] + vX_[9216] * vX_[326] + vX_[2287] * -0.466187537174287 +
+ vX_[463] * 0.00185880198235362 + vX_[2286] * vX_[292] + vX_[2280] * vX_[296] + vX_[9211] * vX_[306] +
+ vX_[8429] * vX_[278] + vX_[9196] * vX_[305] + vX_[1951] * vX_[281] +
+ (vX_[9211] * vX_[277] + vX_[9196] * vX_[279]) * -8.81e-05 +
+ (vX_[8429] * vX_[277] + vX_[1951] * vX_[280]) * 8.81e-05 + vX_[459] * vX_[295] + vX_[22] * vX_[291] +
+ vX_[8432] * vX_[338] + vX_[9239] * vX_[284] + vX_[1776] * vX_[287] + vX_[1148] * vX_[337] +
+ vX_[2291] * vX_[286] + vX_[9239] * vX_[283] + vX_[9217] * vX_[334] + vX_[2252] * vX_[336] +
+ (vX_[9078] * vX_[294] + vX_[2284] * vX_[289] + vX_[9117] * vX_[290] + (0 - vX_[9179]) * 0.414812462825713 +
+ (0 - (vX_[459] * vX_[279] + vX_[22] * vX_[277]) + vX_[2289] + vX_[9117] * vX_[285]) * 0.881 +
+ (0 - vX_[2304]) * 0.00185880198235362 +
+ (0 - (vX_[2291] * vX_[277] + vX_[9239] * vX_[280] +
+ (vX_[9239] * vX_[279] + vX_[1776] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[9078] * 0.0004405 + vX_[9117] * -0.2209548) *
+ -0.35 +
+ vX_[1373] * vX_[1460] + vX_[393] * vX_[1116] + vX_[453] * vX_[1547] + vX_[9248] * vX_[1616] +
+ (vX_[2305] * vX_[2049] + vX_[1373] * vX_[1109]) * 0.35 + vX_[2341] * vX_[1627] + vX_[2309] * vX_[1398] +
+ vX_[2344] * vX_[1638] + vX_[2313] * vX_[1412] + vX_[418] * vX_[1585] + vX_[2317] * vX_[1427] +
+ vX_[8706] * vX_[1393] + vX_[2320] * vX_[303] + vX_[2345] * vX_[1646] + vX_[2315] * vX_[1421] +
+ vX_[2330] * vX_[1589] + vX_[2295] * vX_[1425] + vX_[2334] * vX_[1602] + vX_[1954] * vX_[275] +
+ vX_[4138] * vX_[1447] + vX_[2331] * vX_[1594] + vX_[9074] * vX_[1434] + vX_[8693] * vX_[1496] +
+ vX_[8791] * vX_[1513] + vX_[2312] * vX_[1534] + vX_[423] * vX_[1522] + vX_[9223] * vX_[1527] +
+ vX_[8685] * vX_[1487] + vX_[8691] * vX_[1475] + vX_[410] * vX_[1479] + vX_[1955] * vX_[1507] +
+ vX_[9076] * vX_[1510] + vX_[2470] * vX_[1567] + vX_[8688] * vX_[1513] + vX_[9087] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[8719] * vX_[1494] + vX_[8791] * vX_[1515] + vX_[482] * vX_[1489] + vX_[2312] * vX_[1532] +
+ vX_[423] * vX_[1524] + vX_[9223] * vX_[1528] + vX_[8287] * vX_[1485] + vX_[8255] * vX_[1472] +
+ vX_[410] * vX_[1481] + vX_[9075] * vX_[1506] + vX_[9313] * vX_[1509] + vX_[407] * vX_[1565] +
+ vX_[8688] * vX_[1558] + vX_[2347] * vX_[1433]) *
+ vX_[1383];
+ vX_[2686] = vX_[2857] + vX_[8251] * vX_[304] + vX_[2686] * vX_[317] + vX_[2697] * vX_[995];
+ vX_[2680] = vX_[2857] + vX_[1463] * vX_[276] + vX_[2680] * vX_[321] + vX_[2698] * vX_[1031];
+ vX_[2857] = vX_[2686] - vX_[2680];
+ vX_[8265] = vX_[8251] * vX_[276] + vX_[1463] * vX_[304] + vX_[2687] * vX_[321] + vX_[8265] * vX_[317] +
+ vX_[2697] * vX_[1031] + vX_[2698] * vX_[995];
+ vX_[2687] = vX_[2857] * vX_[277] + vX_[8265] * vX_[280];
+ vX_[1463] = vX_[2857] * vX_[279] + vX_[8265] * vX_[277];
+ vX_[2686] = 0 - vX_[2686];
+ vX_[8251] = 0 - vX_[8265];
+ vX_[8278] = vX_[2652] * vX_[304] + vX_[2681] * vX_[276] + vX_[8278] * vX_[317] + vX_[2697] * vX_[1144] +
+ vX_[2694] * vX_[995];
+ vX_[2291] = 0 - vX_[8278];
+ vX_[9133] = vX_[2652] * vX_[276] + vX_[2681] * vX_[303] + vX_[9133] * vX_[317] + vX_[2697] * vX_[1032] +
+ vX_[2703] * vX_[995];
+ vX_[2652] = 0 - vX_[9133];
+ vX_[2681] =
+ (vX_[2686] * vX_[311] + vX_[8251] * vX_[298] + vX_[2291] * vX_[307] + vX_[2652] * vX_[288]) * 1 / vX_[300];
+ vX_[2686] = vX_[2699] * vX_[1631] + vX_[2686] * vX_[312] + vX_[2681];
+ vX_[9167] = vX_[8362] * vX_[304] + vX_[1468] * vX_[276] + vX_[9167] * vX_[321] + vX_[2698] * vX_[1144] +
+ vX_[2694] * vX_[1031];
+ vX_[2680] = 0 - vX_[2680];
+ vX_[9078] = 0 - vX_[9167];
+ vX_[9212] = vX_[8362] * vX_[276] + vX_[1468] * vX_[303] + vX_[9212] * vX_[321] + vX_[2698] * vX_[1032] +
+ vX_[2703] * vX_[1031];
+ vX_[8362] = 0 - vX_[9212];
+ vX_[1468] = (vX_[2680] * vX_[298] + vX_[9078] * vX_[307] + vX_[8362] * vX_[288]) * 1 / vX_[300];
+ vX_[2680] = vX_[2700] * vX_[1631] + vX_[8251] * vX_[312] + vX_[2680] * vX_[301] + vX_[1468];
+ vX_[2053] = vX_[2684] + vX_[9174] * vX_[317] + vX_[2053] * vX_[321] * 2. + vX_[2693] * vX_[1032] - vX_[2680];
+ vX_[2684] = vX_[2691] + vX_[2694] * vX_[1144];
+ vX_[2689] = vX_[2689] + vX_[2703] * vX_[1032];
+ vX_[8251] = vX_[2684] - vX_[2689];
+ vX_[22] = 0 - vX_[2684];
+ vX_[9174] = vX_[9174] + vX_[2694] * vX_[1032] + vX_[2703] * vX_[1144];
+ vX_[2304] = 0 - vX_[9174];
+ vX_[419] = (vX_[22] * vX_[307] + vX_[2304] * vX_[288]) * 1 / vX_[300];
+ vX_[22] = vX_[2702] * vX_[1631] + vX_[2291] * vX_[312] + vX_[9078] * vX_[301] + vX_[22] * vX_[344] + vX_[419];
+ vX_[9078] = 0 - vX_[2689];
+ vX_[2291] = vX_[9078] * vX_[288] * 1 / vX_[300];
+ vX_[9078] = vX_[2704] * vX_[1631] + vX_[2652] * vX_[312] + vX_[8362] * vX_[301] + vX_[2304] * vX_[344] +
+ vX_[9078] * vX_[340] + vX_[2291];
+ vX_[2304] = 0 - vX_[9078];
+ vX_[8362] = vX_[8251] * vX_[277] + vX_[9174] * vX_[280];
+ vX_[2652] = vX_[8251] * vX_[279] + vX_[9174] * vX_[277];
+ vX_[9179] = vX_[2689] + vX_[8362] * vX_[277];
+ vX_[2284] = vX_[2689] + vX_[2652] * vX_[279];
+ vX_[2291] = vX_[2684] + vX_[2689] + 0 - vX_[2699] * vX_[920] - vX_[2700] * vX_[924] - vX_[2701] * vX_[1154] +
+ vX_[2701] * vX_[1631] - vX_[2702] * vX_[1232] - vX_[2704] * vX_[1440] - vX_[2681] * vX_[312] -
+ vX_[1468] * vX_[301] - vX_[419] * vX_[344] - vX_[2291] * vX_[340] - vX_[9179] - vX_[2284];
+ vX_[419] = 0 - vX_[2284];
+ vX_[2689] = vX_[2686] * vX_[277] + vX_[2680] * vX_[280];
+ vX_[2684] = 0 - vX_[2291];
+ vX_[1468] = vX_[2689] + vX_[2684] * vX_[285];
+ vX_[2681] = vX_[2686] * vX_[279] + vX_[2680] * vX_[277];
+ vX_[2704] = vX_[2681] + vX_[2291] * vX_[282];
+ vX_[9155] = 0 - (vX_[1308] + vX_[9155] * vX_[321] + vX_[2691] * vX_[317] * 2. + vX_[2693] * vX_[1144]) + vX_[2686];
+ vX_[1308] = vX_[8362] * vX_[279] + vX_[2652] * vX_[277];
+ vX_[2691] = 0 - vX_[9078];
+ jac[416] =
+ (vX_[2697] * vX_[1430] + vX_[2694] * vX_[2051] + vX_[2857] * vX_[326] + vX_[2687] * 0.00185880198235362 +
+ vX_[1463] * -7.4114911576828e-06 + vX_[2686] * vX_[296] + vX_[9133] * vX_[281] + vX_[8278] * vX_[306] +
+ (vX_[9167] * vX_[280] + vX_[8278] * vX_[277]) * 8.81e-05 + vX_[2053] * vX_[291] + vX_[8251] * vX_[337] +
+ vX_[22] * vX_[287] + vX_[2304] * vX_[283] + vX_[8362] * vX_[336] + vX_[2652] * vX_[335] +
+ vX_[8431] * vX_[1460] + vX_[8279] * vX_[1547] - (vX_[2698] * vX_[2049] + vX_[2296] * vX_[1116]) +
+ (vX_[2705] * vX_[1430] + vX_[2291] * vX_[293] + vX_[419] * vX_[294] + vX_[1468] * 0.00185880198235362 +
+ vX_[2704] * 0.880992588508842 +
+ (0 - (vX_[2053] * vX_[277] + vX_[9155] * vX_[280] + vX_[2681] + vX_[1308] * vX_[285] +
+ vX_[419] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[2304] * vX_[279] + vX_[22] * vX_[277]) + (vX_[22] * vX_[277] + vX_[9078] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[1308]) * -0.1104774 + (0 - vX_[2284]) * 0.000881 + vX_[8431] * vX_[1109]) *
+ 0.35 -
+ (vX_[2703] * vX_[1605] + vX_[8265] * vX_[327] + vX_[2680] * vX_[292] + vX_[9167] * vX_[305] +
+ vX_[9212] * vX_[278] + (vX_[9133] * vX_[279] + vX_[9212] * vX_[277]) * -8.81e-05 +
+ vX_[9155] * vX_[295] + vX_[9078] * vX_[284] + vX_[9174] * vX_[338] + vX_[22] * vX_[286] +
+ vX_[8715] * vX_[1616]) +
+ vX_[2707] * vX_[1392] + vX_[2742] * vX_[1627] + vX_[2727] * vX_[1578] + vX_[2744] * vX_[1635] +
+ vX_[2713] * vX_[1409] + vX_[2729] * vX_[1583] + vX_[2708] * vX_[1425] + vX_[2733] * vX_[1600] +
+ vX_[2726] * vX_[275] + vX_[2745] * vX_[1643] + vX_[2715] * vX_[1418] + vX_[9104] * vX_[1590] +
+ vX_[2718] * vX_[1427] + vX_[8246] * vX_[1393] + vX_[2721] * vX_[1439] + vX_[2735] * vX_[1445] +
+ vX_[2731] * vX_[1558] + vX_[2746] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[2697] * vX_[2049] + vX_[2698] * vX_[1430] + vX_[2694] * vX_[1605] + vX_[2703] * vX_[2051] +
+ vX_[2857] * vX_[327] + vX_[8265] * vX_[326] + vX_[2687] * -0.466187537174287 +
+ vX_[1463] * 0.00185880198235362 + vX_[2686] * vX_[292] + vX_[2680] * vX_[296] + vX_[9167] * vX_[306] +
+ vX_[9133] * vX_[278] + vX_[8278] * vX_[305] + vX_[9212] * vX_[281] +
+ (vX_[9167] * vX_[277] + vX_[8278] * vX_[279]) * -8.81e-05 +
+ (vX_[9133] * vX_[277] + vX_[9212] * vX_[280]) * 8.81e-05 + vX_[2053] * vX_[295] + vX_[9155] * vX_[291] +
+ vX_[8251] * vX_[338] + vX_[22] * vX_[284] + vX_[9078] * vX_[287] + vX_[9174] * vX_[337] +
+ vX_[2691] * vX_[286] + vX_[22] * vX_[283] + vX_[8362] * vX_[334] + vX_[2652] * vX_[336] +
+ (vX_[1308] * vX_[294] + vX_[2684] * vX_[289] + vX_[9179] * vX_[290] + (0 - vX_[1468]) * 0.414812462825713 +
+ (0 - (vX_[2053] * vX_[279] + vX_[9155] * vX_[277]) + vX_[2689] + vX_[9179] * vX_[285]) * 0.881 +
+ (0 - vX_[2704]) * 0.00185880198235362 +
+ (0 - (vX_[2691] * vX_[277] + vX_[22] * vX_[280] + (vX_[22] * vX_[279] + vX_[9078] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[1308] * 0.0004405 + vX_[9179] * -0.2209548) *
+ -0.35 +
+ vX_[2296] * vX_[1460] + vX_[8431] * vX_[1116] + vX_[8715] * vX_[1547] + vX_[8279] * vX_[1616] +
+ (vX_[2705] * vX_[2049] + vX_[2296] * vX_[1109]) * 0.35 + vX_[2741] * vX_[1627] + vX_[2709] * vX_[1398] +
+ vX_[2744] * vX_[1638] + vX_[2713] * vX_[1412] + vX_[9116] * vX_[1585] + vX_[2717] * vX_[1427] +
+ vX_[8247] * vX_[1393] + vX_[2720] * vX_[303] + vX_[2745] * vX_[1646] + vX_[2715] * vX_[1421] +
+ vX_[2730] * vX_[1589] + vX_[2695] * vX_[1425] + vX_[2734] * vX_[1602] + vX_[8660] * vX_[275] +
+ vX_[42] * vX_[1447] + vX_[2731] * vX_[1594] + vX_[2319] * vX_[1434] + vX_[8259] * vX_[1496] +
+ vX_[4938] * vX_[1513] + vX_[2712] * vX_[1534] + vX_[9256] * vX_[1522] + vX_[5177] * vX_[1527] +
+ vX_[7582] * vX_[1487] + vX_[2675] * vX_[1475] + vX_[8667] * vX_[1479] + vX_[1620] * vX_[1507] +
+ vX_[9140] * vX_[1510] + vX_[2870] * vX_[1567] + vX_[7817] * vX_[1513] + vX_[1947] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[919] * vX_[1494] + vX_[4938] * vX_[1515] + vX_[8291] * vX_[1489] + vX_[2712] * vX_[1532] +
+ vX_[9256] * vX_[1524] + vX_[5177] * vX_[1528] + vX_[5336] * vX_[1485] + vX_[5346] * vX_[1472] +
+ vX_[8667] * vX_[1481] + vX_[1143] * vX_[1506] + vX_[8285] * vX_[1509] + vX_[8676] * vX_[1565] +
+ vX_[7817] * vX_[1558] + vX_[2747] * vX_[1433]) *
+ vX_[1383];
+ vX_[3113] = vX_[7441] + vX_[7825] * vX_[304] + vX_[3113] * vX_[317] + vX_[3124] * vX_[995];
+ vX_[3107] = vX_[7441] + vX_[2348] * vX_[276] + vX_[3107] * vX_[321] + vX_[3125] * vX_[1031];
+ vX_[7441] = vX_[3113] - vX_[3107];
+ vX_[7855] = vX_[7825] * vX_[276] + vX_[2348] * vX_[304] + vX_[3114] * vX_[321] + vX_[7855] * vX_[317] +
+ vX_[3124] * vX_[1031] + vX_[3125] * vX_[995];
+ vX_[3114] = vX_[7441] * vX_[277] + vX_[7855] * vX_[280];
+ vX_[2348] = vX_[7441] * vX_[279] + vX_[7855] * vX_[277];
+ vX_[3113] = 0 - vX_[3113];
+ vX_[7825] = 0 - vX_[7855];
+ vX_[7823] = vX_[3079] * vX_[304] + vX_[7837] * vX_[276] + vX_[7823] * vX_[317] + vX_[3124] * vX_[1144] +
+ vX_[3121] * vX_[995];
+ vX_[2691] = 0 - vX_[7823];
+ vX_[5254] = vX_[3079] * vX_[276] + vX_[7837] * vX_[303] + vX_[5254] * vX_[317] + vX_[3124] * vX_[1032] +
+ vX_[3130] * vX_[995];
+ vX_[3079] = 0 - vX_[5254];
+ vX_[7837] =
+ (vX_[3113] * vX_[311] + vX_[7825] * vX_[298] + vX_[2691] * vX_[307] + vX_[3079] * vX_[288]) * 1 / vX_[300];
+ vX_[3113] = vX_[3126] * vX_[1631] + vX_[3113] * vX_[312] + vX_[7837];
+ vX_[2486] = vX_[6205] * vX_[304] + vX_[2440] * vX_[276] + vX_[2486] * vX_[321] + vX_[3125] * vX_[1144] +
+ vX_[3121] * vX_[1031];
+ vX_[3107] = 0 - vX_[3107];
+ vX_[1308] = 0 - vX_[2486];
+ vX_[9143] = vX_[6205] * vX_[276] + vX_[2440] * vX_[303] + vX_[9143] * vX_[321] + vX_[3125] * vX_[1032] +
+ vX_[3130] * vX_[1031];
+ vX_[6205] = 0 - vX_[9143];
+ vX_[2440] = (vX_[3107] * vX_[298] + vX_[1308] * vX_[307] + vX_[6205] * vX_[288]) * 1 / vX_[300];
+ vX_[3107] = vX_[3127] * vX_[1631] + vX_[7825] * vX_[312] + vX_[3107] * vX_[301] + vX_[2440];
+ vX_[2608] = vX_[3111] + vX_[7838] * vX_[317] + vX_[2608] * vX_[321] * 2. + vX_[3120] * vX_[1032] - vX_[3107];
+ vX_[3111] = vX_[3118] + vX_[3121] * vX_[1144];
+ vX_[3116] = vX_[3116] + vX_[3130] * vX_[1032];
+ vX_[7825] = vX_[3111] - vX_[3116];
+ vX_[9155] = 0 - vX_[3111];
+ vX_[7838] = vX_[7838] + vX_[3121] * vX_[1032] + vX_[3130] * vX_[1144];
+ vX_[2704] = 0 - vX_[7838];
+ vX_[2681] = (vX_[9155] * vX_[307] + vX_[2704] * vX_[288]) * 1 / vX_[300];
+ vX_[9155] = vX_[3129] * vX_[1631] + vX_[2691] * vX_[312] + vX_[1308] * vX_[301] + vX_[9155] * vX_[344] + vX_[2681];
+ vX_[1308] = 0 - vX_[3116];
+ vX_[2691] = vX_[1308] * vX_[288] * 1 / vX_[300];
+ vX_[1308] = vX_[3131] * vX_[1631] + vX_[3079] * vX_[312] + vX_[6205] * vX_[301] + vX_[2704] * vX_[344] +
+ vX_[1308] * vX_[340] + vX_[2691];
+ vX_[2704] = 0 - vX_[1308];
+ vX_[6205] = vX_[7825] * vX_[277] + vX_[7838] * vX_[280];
+ vX_[3079] = vX_[7825] * vX_[279] + vX_[7838] * vX_[277];
+ vX_[1468] = vX_[3116] + vX_[6205] * vX_[277];
+ vX_[2684] = vX_[3116] + vX_[3079] * vX_[279];
+ vX_[2691] = vX_[3111] + vX_[3116] + 0 - vX_[3126] * vX_[920] - vX_[3127] * vX_[924] - vX_[3128] * vX_[1154] +
+ vX_[3128] * vX_[1631] - vX_[3129] * vX_[1232] - vX_[3131] * vX_[1440] - vX_[7837] * vX_[312] -
+ vX_[2440] * vX_[301] - vX_[2681] * vX_[344] - vX_[2691] * vX_[340] - vX_[1468] - vX_[2684];
+ vX_[2681] = 0 - vX_[2684];
+ vX_[3116] = vX_[3113] * vX_[277] + vX_[3107] * vX_[280];
+ vX_[3111] = 0 - vX_[2691];
+ vX_[2440] = vX_[3116] + vX_[3111] * vX_[285];
+ vX_[7837] = vX_[3113] * vX_[279] + vX_[3107] * vX_[277];
+ vX_[3131] = vX_[7837] + vX_[2691] * vX_[282];
+ vX_[7824] = 0 - (vX_[2055] + vX_[7824] * vX_[321] + vX_[3118] * vX_[317] * 2. + vX_[3120] * vX_[1144]) + vX_[3113];
+ vX_[2055] = vX_[6205] * vX_[279] + vX_[3079] * vX_[277];
+ vX_[3118] = 0 - vX_[1308];
+ jac[417] =
+ (vX_[3124] * vX_[1430] + vX_[3121] * vX_[2051] + vX_[7441] * vX_[326] + vX_[3114] * 0.00185880198235362 +
+ vX_[2348] * -7.4114911576828e-06 + vX_[3113] * vX_[296] + vX_[5254] * vX_[281] + vX_[7823] * vX_[306] +
+ (vX_[2486] * vX_[280] + vX_[7823] * vX_[277]) * 8.81e-05 + vX_[2608] * vX_[291] + vX_[7825] * vX_[337] +
+ vX_[9155] * vX_[287] + vX_[2704] * vX_[283] + vX_[6205] * vX_[336] + vX_[3079] * vX_[335] +
+ vX_[9077] * vX_[1460] + vX_[6682] * vX_[1547] - (vX_[3125] * vX_[2049] + vX_[2696] * vX_[1116]) +
+ (vX_[3132] * vX_[1430] + vX_[2691] * vX_[293] + vX_[2681] * vX_[294] + vX_[2440] * 0.00185880198235362 +
+ vX_[3131] * 0.880992588508842 +
+ (0 - (vX_[2608] * vX_[277] + vX_[7824] * vX_[280] + vX_[7837] + vX_[2055] * vX_[285] +
+ vX_[2681] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[2704] * vX_[279] + vX_[9155] * vX_[277]) +
+ (vX_[9155] * vX_[277] + vX_[1308] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[2055]) * -0.1104774 + (0 - vX_[2684]) * 0.000881 + vX_[9077] * vX_[1109]) *
+ 0.35 -
+ (vX_[3130] * vX_[1605] + vX_[7855] * vX_[327] + vX_[3107] * vX_[292] + vX_[2486] * vX_[305] +
+ vX_[9143] * vX_[278] + (vX_[5254] * vX_[279] + vX_[9143] * vX_[277]) * -8.81e-05 +
+ vX_[7824] * vX_[295] + vX_[1308] * vX_[284] + vX_[7838] * vX_[338] + vX_[9155] * vX_[286] +
+ vX_[7584] * vX_[1616]) +
+ vX_[3134] * vX_[1392] + vX_[3169] * vX_[1627] + vX_[3154] * vX_[1578] + vX_[3171] * vX_[1635] +
+ vX_[3140] * vX_[1409] + vX_[3156] * vX_[1583] + vX_[3135] * vX_[1425] + vX_[3160] * vX_[1600] +
+ vX_[3153] * vX_[275] + vX_[3172] * vX_[1643] + vX_[3142] * vX_[1418] + vX_[1904] * vX_[1590] +
+ vX_[3145] * vX_[1427] + vX_[7383] * vX_[1393] + vX_[3148] * vX_[1439] + vX_[3162] * vX_[1445] +
+ vX_[3158] * vX_[1558] + vX_[3173] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[3124] * vX_[2049] + vX_[3125] * vX_[1430] + vX_[3121] * vX_[1605] + vX_[3130] * vX_[2051] +
+ vX_[7441] * vX_[327] + vX_[7855] * vX_[326] + vX_[3114] * -0.466187537174287 +
+ vX_[2348] * 0.00185880198235362 + vX_[3113] * vX_[292] + vX_[3107] * vX_[296] + vX_[2486] * vX_[306] +
+ vX_[5254] * vX_[278] + vX_[7823] * vX_[305] + vX_[9143] * vX_[281] +
+ (vX_[2486] * vX_[277] + vX_[7823] * vX_[279]) * -8.81e-05 +
+ (vX_[5254] * vX_[277] + vX_[9143] * vX_[280]) * 8.81e-05 + vX_[2608] * vX_[295] + vX_[7824] * vX_[291] +
+ vX_[7825] * vX_[338] + vX_[9155] * vX_[284] + vX_[1308] * vX_[287] + vX_[7838] * vX_[337] +
+ vX_[3118] * vX_[286] + vX_[9155] * vX_[283] + vX_[6205] * vX_[334] + vX_[3079] * vX_[336] +
+ (vX_[2055] * vX_[294] + vX_[3111] * vX_[289] + vX_[1468] * vX_[290] + (0 - vX_[2440]) * 0.414812462825713 +
+ (0 - (vX_[2608] * vX_[279] + vX_[7824] * vX_[277]) + vX_[3116] + vX_[1468] * vX_[285]) * 0.881 +
+ (0 - vX_[3131]) * 0.00185880198235362 +
+ (0 - (vX_[3118] * vX_[277] + vX_[9155] * vX_[280] +
+ (vX_[9155] * vX_[279] + vX_[1308] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[2055] * 0.0004405 + vX_[1468] * -0.2209548) *
+ -0.35 +
+ vX_[2696] * vX_[1460] + vX_[9077] * vX_[1116] + vX_[7584] * vX_[1547] + vX_[6682] * vX_[1616] +
+ (vX_[3132] * vX_[2049] + vX_[2696] * vX_[1109]) * 0.35 + vX_[3168] * vX_[1627] + vX_[3136] * vX_[1398] +
+ vX_[3171] * vX_[1638] + vX_[3140] * vX_[1412] + vX_[8678] * vX_[1585] + vX_[3144] * vX_[1427] +
+ vX_[7382] * vX_[1393] + vX_[3147] * vX_[303] + vX_[3172] * vX_[1646] + vX_[3142] * vX_[1421] +
+ vX_[3157] * vX_[1589] + vX_[3122] * vX_[1425] + vX_[3161] * vX_[1602] + vX_[8288] * vX_[275] +
+ vX_[1120] * vX_[1447] + vX_[3158] * vX_[1594] + vX_[2719] * vX_[1434] + vX_[7390] * vX_[1496] +
+ vX_[7424] * vX_[1513] + vX_[3139] * vX_[1534] + vX_[2398] * vX_[1522] + vX_[4246] * vX_[1527] +
+ vX_[4325] * vX_[1487] + vX_[7429] * vX_[1475] + vX_[2457] * vX_[1479] + vX_[9173] * vX_[1507] +
+ vX_[2098] * vX_[1510] + vX_[3297] * vX_[1567] + vX_[7443] * vX_[1513] + vX_[26] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[4934] * vX_[1494] + vX_[7424] * vX_[1515] + vX_[2107] * vX_[1489] + vX_[3139] * vX_[1532] +
+ vX_[2398] * vX_[1524] + vX_[4246] * vX_[1528] + vX_[4250] * vX_[1485] + vX_[4465] * vX_[1472] +
+ vX_[2457] * vX_[1481] + vX_[7943] * vX_[1506] + vX_[4530] * vX_[1509] + vX_[7809] * vX_[1565] +
+ vX_[7443] * vX_[1558] + vX_[3174] * vX_[1433]) *
+ vX_[1383];
+ vX_[3519] = vX_[7873] + vX_[6992] * vX_[304] + vX_[3519] * vX_[317] + vX_[3530] * vX_[995];
+ vX_[3513] = vX_[7873] + vX_[7515] * vX_[276] + vX_[3513] * vX_[321] + vX_[3531] * vX_[1031];
+ vX_[7873] = vX_[3519] - vX_[3513];
+ vX_[6959] = vX_[6992] * vX_[276] + vX_[7515] * vX_[304] + vX_[3520] * vX_[321] + vX_[6959] * vX_[317] +
+ vX_[3530] * vX_[1031] + vX_[3531] * vX_[995];
+ vX_[3520] = vX_[7873] * vX_[277] + vX_[6959] * vX_[280];
+ vX_[7515] = vX_[7873] * vX_[279] + vX_[6959] * vX_[277];
+ vX_[3519] = 0 - vX_[3519];
+ vX_[6992] = 0 - vX_[6959];
+ vX_[7018] = vX_[3485] * vX_[304] + vX_[6728] * vX_[276] + vX_[7018] * vX_[317] + vX_[3530] * vX_[1144] +
+ vX_[3527] * vX_[995];
+ vX_[3118] = 0 - vX_[7018];
+ vX_[5600] = vX_[3485] * vX_[276] + vX_[6728] * vX_[303] + vX_[5600] * vX_[317] + vX_[3530] * vX_[1032] +
+ vX_[3536] * vX_[995];
+ vX_[3485] = 0 - vX_[5600];
+ vX_[6728] =
+ (vX_[3519] * vX_[311] + vX_[6992] * vX_[298] + vX_[3118] * vX_[307] + vX_[3485] * vX_[288]) * 1 / vX_[300];
+ vX_[3519] = vX_[3532] * vX_[1631] + vX_[3519] * vX_[312] + vX_[6728];
+ vX_[6385] = vX_[6997] * vX_[304] + vX_[7938] * vX_[276] + vX_[6385] * vX_[321] + vX_[3531] * vX_[1144] +
+ vX_[3527] * vX_[1031];
+ vX_[3513] = 0 - vX_[3513];
+ vX_[2055] = 0 - vX_[6385];
+ vX_[7826] = vX_[6997] * vX_[276] + vX_[7938] * vX_[303] + vX_[7826] * vX_[321] + vX_[3531] * vX_[1032] +
+ vX_[3536] * vX_[1031];
+ vX_[6997] = 0 - vX_[7826];
+ vX_[7938] = (vX_[3513] * vX_[298] + vX_[2055] * vX_[307] + vX_[6997] * vX_[288]) * 1 / vX_[300];
+ vX_[3513] = vX_[3533] * vX_[1631] + vX_[6992] * vX_[312] + vX_[3513] * vX_[301] + vX_[7938];
+ vX_[7654] = vX_[3517] + vX_[6529] * vX_[317] + vX_[7654] * vX_[321] * 2. + vX_[3526] * vX_[1032] - vX_[3513];
+ vX_[3517] = vX_[3524] + vX_[3527] * vX_[1144];
+ vX_[3522] = vX_[3522] + vX_[3536] * vX_[1032];
+ vX_[6992] = vX_[3517] - vX_[3522];
+ vX_[7824] = 0 - vX_[3517];
+ vX_[6529] = vX_[6529] + vX_[3527] * vX_[1032] + vX_[3536] * vX_[1144];
+ vX_[3131] = 0 - vX_[6529];
+ vX_[7837] = (vX_[7824] * vX_[307] + vX_[3131] * vX_[288]) * 1 / vX_[300];
+ vX_[7824] = vX_[3535] * vX_[1631] + vX_[3118] * vX_[312] + vX_[2055] * vX_[301] + vX_[7824] * vX_[344] + vX_[7837];
+ vX_[2055] = 0 - vX_[3522];
+ vX_[3118] = vX_[2055] * vX_[288] * 1 / vX_[300];
+ vX_[2055] = vX_[3537] * vX_[1631] + vX_[3485] * vX_[312] + vX_[6997] * vX_[301] + vX_[3131] * vX_[344] +
+ vX_[2055] * vX_[340] + vX_[3118];
+ vX_[3131] = 0 - vX_[2055];
+ vX_[6997] = vX_[6992] * vX_[277] + vX_[6529] * vX_[280];
+ vX_[3485] = vX_[6992] * vX_[279] + vX_[6529] * vX_[277];
+ vX_[2440] = vX_[3522] + vX_[6997] * vX_[277];
+ vX_[3111] = vX_[3522] + vX_[3485] * vX_[279];
+ vX_[3118] = vX_[3517] + vX_[3522] + 0 - vX_[3532] * vX_[920] - vX_[3533] * vX_[924] - vX_[3534] * vX_[1154] +
+ vX_[3534] * vX_[1631] - vX_[3535] * vX_[1232] - vX_[3537] * vX_[1440] - vX_[6728] * vX_[312] -
+ vX_[7938] * vX_[301] - vX_[7837] * vX_[344] - vX_[3118] * vX_[340] - vX_[2440] - vX_[3111];
+ vX_[7837] = 0 - vX_[3111];
+ vX_[3522] = vX_[3519] * vX_[277] + vX_[3513] * vX_[280];
+ vX_[3517] = 0 - vX_[3118];
+ vX_[7938] = vX_[3522] + vX_[3517] * vX_[285];
+ vX_[6728] = vX_[3519] * vX_[279] + vX_[3513] * vX_[277];
+ vX_[3537] = vX_[6728] + vX_[3118] * vX_[282];
+ vX_[7535] = 0 - (vX_[7399] + vX_[7535] * vX_[321] + vX_[3524] * vX_[317] * 2. + vX_[3526] * vX_[1144]) + vX_[3519];
+ vX_[7399] = vX_[6997] * vX_[279] + vX_[3485] * vX_[277];
+ vX_[3524] = 0 - vX_[2055];
+ jac[418] =
+ (vX_[3530] * vX_[1430] + vX_[3527] * vX_[2051] + vX_[7873] * vX_[326] + vX_[3520] * 0.00185880198235362 +
+ vX_[7515] * -7.4114911576828e-06 + vX_[3519] * vX_[296] + vX_[5600] * vX_[281] + vX_[7018] * vX_[306] +
+ (vX_[6385] * vX_[280] + vX_[7018] * vX_[277]) * 8.81e-05 + vX_[7654] * vX_[291] + vX_[6992] * vX_[337] +
+ vX_[7824] * vX_[287] + vX_[3131] * vX_[283] + vX_[6997] * vX_[336] + vX_[3485] * vX_[335] +
+ vX_[8003] * vX_[1460] + vX_[5746] * vX_[1547] - (vX_[3531] * vX_[2049] + vX_[3123] * vX_[1116]) +
+ (vX_[3538] * vX_[1430] + vX_[3118] * vX_[293] + vX_[7837] * vX_[294] + vX_[7938] * 0.00185880198235362 +
+ vX_[3537] * 0.880992588508842 +
+ (0 - (vX_[7654] * vX_[277] + vX_[7535] * vX_[280] + vX_[6728] + vX_[7399] * vX_[285] +
+ vX_[7837] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[3131] * vX_[279] + vX_[7824] * vX_[277]) +
+ (vX_[7824] * vX_[277] + vX_[2055] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[7399]) * -0.1104774 + (0 - vX_[3111]) * 0.000881 + vX_[8003] * vX_[1109]) *
+ 0.35 -
+ (vX_[3536] * vX_[1605] + vX_[6959] * vX_[327] + vX_[3513] * vX_[292] + vX_[6385] * vX_[305] +
+ vX_[7826] * vX_[278] + (vX_[5600] * vX_[279] + vX_[7826] * vX_[277]) * -8.81e-05 +
+ vX_[7535] * vX_[295] + vX_[2055] * vX_[284] + vX_[6529] * vX_[338] + vX_[7824] * vX_[286] +
+ vX_[7405] * vX_[1616]) +
+ vX_[3540] * vX_[1392] + vX_[3575] * vX_[1627] + vX_[3560] * vX_[1578] + vX_[3577] * vX_[1635] +
+ vX_[3546] * vX_[1409] + vX_[3562] * vX_[1583] + vX_[3541] * vX_[1425] + vX_[3566] * vX_[1600] +
+ vX_[3559] * vX_[275] + vX_[3578] * vX_[1643] + vX_[3548] * vX_[1418] + vX_[1043] * vX_[1590] +
+ vX_[3551] * vX_[1427] + vX_[6966] * vX_[1393] + vX_[3554] * vX_[1439] + vX_[3568] * vX_[1445] +
+ vX_[3564] * vX_[1558] + vX_[3579] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[3530] * vX_[2049] + vX_[3531] * vX_[1430] + vX_[3527] * vX_[1605] + vX_[3536] * vX_[2051] +
+ vX_[7873] * vX_[327] + vX_[6959] * vX_[326] + vX_[3520] * -0.466187537174287 +
+ vX_[7515] * 0.00185880198235362 + vX_[3519] * vX_[292] + vX_[3513] * vX_[296] + vX_[6385] * vX_[306] +
+ vX_[5600] * vX_[278] + vX_[7018] * vX_[305] + vX_[7826] * vX_[281] +
+ (vX_[6385] * vX_[277] + vX_[7018] * vX_[279]) * -8.81e-05 +
+ (vX_[5600] * vX_[277] + vX_[7826] * vX_[280]) * 8.81e-05 + vX_[7654] * vX_[295] + vX_[7535] * vX_[291] +
+ vX_[6992] * vX_[338] + vX_[7824] * vX_[284] + vX_[2055] * vX_[287] + vX_[6529] * vX_[337] +
+ vX_[3524] * vX_[286] + vX_[7824] * vX_[283] + vX_[6997] * vX_[334] + vX_[3485] * vX_[336] +
+ (vX_[7399] * vX_[294] + vX_[3517] * vX_[289] + vX_[2440] * vX_[290] + (0 - vX_[7938]) * 0.414812462825713 +
+ (0 - (vX_[7654] * vX_[279] + vX_[7535] * vX_[277]) + vX_[3522] + vX_[2440] * vX_[285]) * 0.881 +
+ (0 - vX_[3537]) * 0.00185880198235362 +
+ (0 - (vX_[3524] * vX_[277] + vX_[7824] * vX_[280] +
+ (vX_[7824] * vX_[279] + vX_[2055] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[7399] * 0.0004405 + vX_[2440] * -0.2209548) *
+ -0.35 +
+ vX_[3123] * vX_[1460] + vX_[8003] * vX_[1116] + vX_[7405] * vX_[1547] + vX_[5746] * vX_[1616] +
+ (vX_[3538] * vX_[2049] + vX_[3123] * vX_[1109]) * 0.35 + vX_[3574] * vX_[1627] + vX_[3542] * vX_[1398] +
+ vX_[3577] * vX_[1638] + vX_[3546] * vX_[1412] + vX_[8228] * vX_[1585] + vX_[3550] * vX_[1427] +
+ vX_[6989] * vX_[1393] + vX_[3553] * vX_[303] + vX_[3578] * vX_[1646] + vX_[3548] * vX_[1421] +
+ vX_[3563] * vX_[1589] + vX_[3528] * vX_[1425] + vX_[3567] * vX_[1602] + vX_[7827] * vX_[275] +
+ vX_[1810] * vX_[1447] + vX_[3564] * vX_[1594] + vX_[3146] * vX_[1434] + vX_[7016] * vX_[1496] +
+ vX_[6988] * vX_[1513] + vX_[3545] * vX_[1534] + vX_[4823] * vX_[1522] + vX_[6984] * vX_[1527] +
+ vX_[7012] * vX_[1487] + vX_[6975] * vX_[1475] + vX_[7433] * vX_[1479] + vX_[7867] * vX_[1507] +
+ vX_[6961] * vX_[1510] + vX_[3703] * vX_[1567] + vX_[6964] * vX_[1513] + vX_[7858] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[5765] * vX_[1494] + vX_[6988] * vX_[1515] + vX_[6557] * vX_[1489] + vX_[3545] * vX_[1532] +
+ vX_[4823] * vX_[1524] + vX_[6984] * vX_[1528] + vX_[7013] * vX_[1485] + vX_[6251] * vX_[1472] +
+ vX_[7433] * vX_[1481] + vX_[7482] * vX_[1506] + vX_[5790] * vX_[1509] + vX_[7416] * vX_[1565] +
+ vX_[6964] * vX_[1558] + vX_[3580] * vX_[1433]) *
+ vX_[1383];
+ vX_[3915] = vX_[6689] + vX_[6582] * vX_[304] + vX_[3915] * vX_[317] + vX_[3926] * vX_[995];
+ vX_[3909] = vX_[6689] + vX_[6579] * vX_[276] + vX_[3909] * vX_[321] + vX_[3927] * vX_[1031];
+ vX_[6689] = vX_[3915] - vX_[3909];
+ vX_[7042] = vX_[6582] * vX_[276] + vX_[6579] * vX_[304] + vX_[3916] * vX_[321] + vX_[7042] * vX_[317] +
+ vX_[3926] * vX_[1031] + vX_[3927] * vX_[995];
+ vX_[3916] = vX_[6689] * vX_[277] + vX_[7042] * vX_[280];
+ vX_[6579] = vX_[6689] * vX_[279] + vX_[7042] * vX_[277];
+ vX_[3915] = 0 - vX_[3915];
+ vX_[6582] = 0 - vX_[7042];
+ vX_[7101] = vX_[3881] * vX_[304] + vX_[6806] * vX_[276] + vX_[7101] * vX_[317] + vX_[3926] * vX_[1144] +
+ vX_[3923] * vX_[995];
+ vX_[3524] = 0 - vX_[7101];
+ vX_[7476] = vX_[3881] * vX_[276] + vX_[6806] * vX_[303] + vX_[7476] * vX_[317] + vX_[3926] * vX_[1032] +
+ vX_[3932] * vX_[995];
+ vX_[3881] = 0 - vX_[7476];
+ vX_[6806] =
+ (vX_[3915] * vX_[311] + vX_[6582] * vX_[298] + vX_[3524] * vX_[307] + vX_[3881] * vX_[288]) * 1 / vX_[300];
+ vX_[3915] = vX_[3928] * vX_[1631] + vX_[3915] * vX_[312] + vX_[6806];
+ vX_[6670] = vX_[6569] * vX_[304] + vX_[7038] * vX_[276] + vX_[6670] * vX_[321] + vX_[3927] * vX_[1144] +
+ vX_[3923] * vX_[1031];
+ vX_[3909] = 0 - vX_[3909];
+ vX_[7399] = 0 - vX_[6670];
+ vX_[7017] = vX_[6569] * vX_[276] + vX_[7038] * vX_[303] + vX_[7017] * vX_[321] + vX_[3927] * vX_[1032] +
+ vX_[3932] * vX_[1031];
+ vX_[6569] = 0 - vX_[7017];
+ vX_[7038] = (vX_[3909] * vX_[298] + vX_[7399] * vX_[307] + vX_[6569] * vX_[288]) * 1 / vX_[300];
+ vX_[3909] = vX_[3929] * vX_[1631] + vX_[6582] * vX_[312] + vX_[3909] * vX_[301] + vX_[7038];
+ vX_[6672] = vX_[3913] + vX_[7046] * vX_[317] + vX_[6672] * vX_[321] * 2. + vX_[3922] * vX_[1032] - vX_[3909];
+ vX_[3913] = vX_[3920] + vX_[3923] * vX_[1144];
+ vX_[3918] = vX_[3918] + vX_[3932] * vX_[1032];
+ vX_[6582] = vX_[3913] - vX_[3918];
+ vX_[7535] = 0 - vX_[3913];
+ vX_[7046] = vX_[7046] + vX_[3923] * vX_[1032] + vX_[3932] * vX_[1144];
+ vX_[3537] = 0 - vX_[7046];
+ vX_[6728] = (vX_[7535] * vX_[307] + vX_[3537] * vX_[288]) * 1 / vX_[300];
+ vX_[7535] = vX_[3931] * vX_[1631] + vX_[3524] * vX_[312] + vX_[7399] * vX_[301] + vX_[7535] * vX_[344] + vX_[6728];
+ vX_[7399] = 0 - vX_[3918];
+ vX_[3524] = vX_[7399] * vX_[288] * 1 / vX_[300];
+ vX_[7399] = vX_[3933] * vX_[1631] + vX_[3881] * vX_[312] + vX_[6569] * vX_[301] + vX_[3537] * vX_[344] +
+ vX_[7399] * vX_[340] + vX_[3524];
+ vX_[3537] = 0 - vX_[7399];
+ vX_[6569] = vX_[6582] * vX_[277] + vX_[7046] * vX_[280];
+ vX_[3881] = vX_[6582] * vX_[279] + vX_[7046] * vX_[277];
+ vX_[7938] = vX_[3918] + vX_[6569] * vX_[277];
+ vX_[3517] = vX_[3918] + vX_[3881] * vX_[279];
+ vX_[3524] = vX_[3913] + vX_[3918] + 0 - vX_[3928] * vX_[920] - vX_[3929] * vX_[924] - vX_[3930] * vX_[1154] +
+ vX_[3930] * vX_[1631] - vX_[3931] * vX_[1232] - vX_[3933] * vX_[1440] - vX_[6806] * vX_[312] -
+ vX_[7038] * vX_[301] - vX_[6728] * vX_[344] - vX_[3524] * vX_[340] - vX_[7938] - vX_[3517];
+ vX_[6728] = 0 - vX_[3517];
+ vX_[3918] = vX_[3915] * vX_[277] + vX_[3909] * vX_[280];
+ vX_[3913] = 0 - vX_[3524];
+ vX_[7038] = vX_[3918] + vX_[3913] * vX_[285];
+ vX_[6806] = vX_[3915] * vX_[279] + vX_[3909] * vX_[277];
+ vX_[3933] = vX_[6806] + vX_[3524] * vX_[282];
+ vX_[6564] = 0 - (vX_[6598] + vX_[6564] * vX_[321] + vX_[3920] * vX_[317] * 2. + vX_[3922] * vX_[1144]) + vX_[3915];
+ vX_[6598] = vX_[6569] * vX_[279] + vX_[3881] * vX_[277];
+ vX_[3920] = 0 - vX_[7399];
+ jac[419] =
+ (vX_[3926] * vX_[1430] + vX_[3923] * vX_[2051] + vX_[6689] * vX_[326] + vX_[3916] * 0.00185880198235362 +
+ vX_[6579] * -7.4114911576828e-06 + vX_[3915] * vX_[296] + vX_[7476] * vX_[281] + vX_[7101] * vX_[306] +
+ (vX_[6670] * vX_[280] + vX_[7101] * vX_[277]) * 8.81e-05 + vX_[6672] * vX_[291] + vX_[6582] * vX_[337] +
+ vX_[7535] * vX_[287] + vX_[3537] * vX_[283] + vX_[6569] * vX_[336] + vX_[3881] * vX_[335] +
+ vX_[7832] * vX_[1460] + vX_[7522] * vX_[1547] - (vX_[3927] * vX_[2049] + vX_[3529] * vX_[1116]) +
+ (vX_[3934] * vX_[1430] + vX_[3524] * vX_[293] + vX_[6728] * vX_[294] + vX_[7038] * 0.00185880198235362 +
+ vX_[3933] * 0.880992588508842 +
+ (0 - (vX_[6672] * vX_[277] + vX_[6564] * vX_[280] + vX_[6806] + vX_[6598] * vX_[285] +
+ vX_[6728] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[3537] * vX_[279] + vX_[7535] * vX_[277]) +
+ (vX_[7535] * vX_[277] + vX_[7399] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[6598]) * -0.1104774 + (0 - vX_[3517]) * 0.000881 + vX_[7832] * vX_[1109]) *
+ 0.35 -
+ (vX_[3932] * vX_[1605] + vX_[7042] * vX_[327] + vX_[3909] * vX_[292] + vX_[6670] * vX_[305] +
+ vX_[7017] * vX_[278] + (vX_[7476] * vX_[279] + vX_[7017] * vX_[277]) * -8.81e-05 +
+ vX_[6564] * vX_[295] + vX_[7399] * vX_[284] + vX_[7046] * vX_[338] + vX_[7535] * vX_[286] +
+ vX_[6971] * vX_[1616]) +
+ vX_[3936] * vX_[1392] + vX_[3971] * vX_[1627] + vX_[3956] * vX_[1578] + vX_[3973] * vX_[1635] +
+ vX_[3942] * vX_[1409] + vX_[3958] * vX_[1583] + vX_[3937] * vX_[1425] + vX_[3962] * vX_[1600] +
+ vX_[3955] * vX_[275] + vX_[3974] * vX_[1643] + vX_[3944] * vX_[1418] + vX_[7409] * vX_[1590] +
+ vX_[3947] * vX_[1427] + vX_[987] * vX_[1393] + vX_[3950] * vX_[1439] + vX_[3964] * vX_[1445] +
+ vX_[3960] * vX_[1558] + vX_[3975] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[3926] * vX_[2049] + vX_[3927] * vX_[1430] + vX_[3923] * vX_[1605] + vX_[3932] * vX_[2051] +
+ vX_[6689] * vX_[327] + vX_[7042] * vX_[326] + vX_[3916] * -0.466187537174287 +
+ vX_[6579] * 0.00185880198235362 + vX_[3915] * vX_[292] + vX_[3909] * vX_[296] + vX_[6670] * vX_[306] +
+ vX_[7476] * vX_[278] + vX_[7101] * vX_[305] + vX_[7017] * vX_[281] +
+ (vX_[6670] * vX_[277] + vX_[7101] * vX_[279]) * -8.81e-05 +
+ (vX_[7476] * vX_[277] + vX_[7017] * vX_[280]) * 8.81e-05 + vX_[6672] * vX_[295] + vX_[6564] * vX_[291] +
+ vX_[6582] * vX_[338] + vX_[7535] * vX_[284] + vX_[7399] * vX_[287] + vX_[7046] * vX_[337] +
+ vX_[3920] * vX_[286] + vX_[7535] * vX_[283] + vX_[6569] * vX_[334] + vX_[3881] * vX_[336] +
+ (vX_[6598] * vX_[294] + vX_[3913] * vX_[289] + vX_[7938] * vX_[290] + (0 - vX_[7038]) * 0.414812462825713 +
+ (0 - (vX_[6672] * vX_[279] + vX_[6564] * vX_[277]) + vX_[3918] + vX_[7938] * vX_[285]) * 0.881 +
+ (0 - vX_[3933]) * 0.00185880198235362 +
+ (0 - (vX_[3920] * vX_[277] + vX_[7535] * vX_[280] +
+ (vX_[7535] * vX_[279] + vX_[7399] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[6598] * 0.0004405 + vX_[7938] * -0.2209548) *
+ -0.35 +
+ vX_[3529] * vX_[1460] + vX_[7832] * vX_[1116] + vX_[6971] * vX_[1547] + vX_[7522] * vX_[1616] +
+ (vX_[3934] * vX_[2049] + vX_[3529] * vX_[1109]) * 0.35 + vX_[3970] * vX_[1627] + vX_[3938] * vX_[1398] +
+ vX_[3973] * vX_[1638] + vX_[3942] * vX_[1412] + vX_[7843] * vX_[1585] + vX_[3946] * vX_[1427] +
+ vX_[8793] * vX_[1393] + vX_[3949] * vX_[303] + vX_[3974] * vX_[1646] + vX_[3944] * vX_[1421] +
+ vX_[3959] * vX_[1589] + vX_[3924] * vX_[1425] + vX_[3963] * vX_[1602] + vX_[6956] * vX_[275] +
+ vX_[2016] * vX_[1447] + vX_[3960] * vX_[1594] + vX_[3552] * vX_[1434] + vX_[6545] * vX_[1496] +
+ vX_[1461] * vX_[1513] + vX_[3941] * vX_[1534] + vX_[8801] * vX_[1522] + vX_[8997] * vX_[1527] +
+ vX_[8322] * vX_[1487] + vX_[5879] * vX_[1475] + vX_[1491] * vX_[1479] + vX_[6730] * vX_[1507] +
+ vX_[6572] * vX_[1510] + vX_[4099] * vX_[1567] + vX_[8725] * vX_[1513] + vX_[7401] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[6549] * vX_[1494] + vX_[1461] * vX_[1515] + vX_[6948] * vX_[1489] + vX_[3941] * vX_[1532] +
+ vX_[8801] * vX_[1524] + vX_[8997] * vX_[1528] + vX_[5882] * vX_[1485] + vX_[3284] * vX_[1472] +
+ vX_[1491] * vX_[1481] + vX_[6578] * vX_[1506] + vX_[6113] * vX_[1509] + vX_[7656] * vX_[1565] +
+ vX_[8725] * vX_[1558] + vX_[3976] * vX_[1433]) *
+ vX_[1383];
+ vX_[4330] = vX_[6165] + vX_[5682] * vX_[304] + vX_[4330] * vX_[317] + vX_[4341] * vX_[995];
+ vX_[4324] = vX_[6165] + vX_[6152] * vX_[276] + vX_[4324] * vX_[321] + vX_[4342] * vX_[1031];
+ vX_[6165] = vX_[4330] - vX_[4324];
+ vX_[6117] = vX_[5682] * vX_[276] + vX_[6152] * vX_[304] + vX_[4331] * vX_[321] + vX_[6117] * vX_[317] +
+ vX_[4341] * vX_[1031] + vX_[4342] * vX_[995];
+ vX_[4331] = vX_[6165] * vX_[277] + vX_[6117] * vX_[280];
+ vX_[6152] = vX_[6165] * vX_[279] + vX_[6117] * vX_[277];
+ vX_[4330] = 0 - vX_[4330];
+ vX_[5682] = 0 - vX_[6117];
+ vX_[4558] = vX_[4296] * vX_[304] + vX_[6164] * vX_[276] + vX_[4558] * vX_[317] + vX_[4341] * vX_[1144] +
+ vX_[4338] * vX_[995];
+ vX_[3920] = 0 - vX_[4558];
+ vX_[3705] = vX_[4296] * vX_[276] + vX_[6164] * vX_[303] + vX_[3705] * vX_[317] + vX_[4341] * vX_[1032] +
+ vX_[4347] * vX_[995];
+ vX_[4296] = 0 - vX_[3705];
+ vX_[6164] =
+ (vX_[4330] * vX_[311] + vX_[5682] * vX_[298] + vX_[3920] * vX_[307] + vX_[4296] * vX_[288]) * 1 / vX_[300];
+ vX_[4330] = vX_[4343] * vX_[1631] + vX_[4330] * vX_[312] + vX_[6164];
+ vX_[5007] = vX_[2922] * vX_[304] + vX_[6122] * vX_[276] + vX_[5007] * vX_[321] + vX_[4342] * vX_[1144] +
+ vX_[4338] * vX_[1031];
+ vX_[4324] = 0 - vX_[4324];
+ vX_[6598] = 0 - vX_[5007];
+ vX_[7532] = vX_[2922] * vX_[276] + vX_[6122] * vX_[303] + vX_[7532] * vX_[321] + vX_[4342] * vX_[1032] +
+ vX_[4347] * vX_[1031];
+ vX_[2922] = 0 - vX_[7532];
+ vX_[6122] = (vX_[4324] * vX_[298] + vX_[6598] * vX_[307] + vX_[2922] * vX_[288]) * 1 / vX_[300];
+ vX_[4324] = vX_[4344] * vX_[1631] + vX_[5682] * vX_[312] + vX_[4324] * vX_[301] + vX_[6122];
+ vX_[6136] = vX_[4328] + vX_[6124] * vX_[317] + vX_[6136] * vX_[321] * 2. + vX_[4337] * vX_[1032] - vX_[4324];
+ vX_[4328] = vX_[4335] + vX_[4338] * vX_[1144];
+ vX_[4333] = vX_[4333] + vX_[4347] * vX_[1032];
+ vX_[5682] = vX_[4328] - vX_[4333];
+ vX_[6564] = 0 - vX_[4328];
+ vX_[6124] = vX_[6124] + vX_[4338] * vX_[1032] + vX_[4347] * vX_[1144];
+ vX_[3933] = 0 - vX_[6124];
+ vX_[6806] = (vX_[6564] * vX_[307] + vX_[3933] * vX_[288]) * 1 / vX_[300];
+ vX_[6564] = vX_[4346] * vX_[1631] + vX_[3920] * vX_[312] + vX_[6598] * vX_[301] + vX_[6564] * vX_[344] + vX_[6806];
+ vX_[6598] = 0 - vX_[4333];
+ vX_[3920] = vX_[6598] * vX_[288] * 1 / vX_[300];
+ vX_[6598] = vX_[4348] * vX_[1631] + vX_[4296] * vX_[312] + vX_[2922] * vX_[301] + vX_[3933] * vX_[344] +
+ vX_[6598] * vX_[340] + vX_[3920];
+ vX_[3933] = 0 - vX_[6598];
+ vX_[2922] = vX_[5682] * vX_[277] + vX_[6124] * vX_[280];
+ vX_[4296] = vX_[5682] * vX_[279] + vX_[6124] * vX_[277];
+ vX_[7038] = vX_[4333] + vX_[2922] * vX_[277];
+ vX_[3913] = vX_[4333] + vX_[4296] * vX_[279];
+ vX_[3920] = vX_[4328] + vX_[4333] + 0 - vX_[4343] * vX_[920] - vX_[4344] * vX_[924] - vX_[4345] * vX_[1154] +
+ vX_[4345] * vX_[1631] - vX_[4346] * vX_[1232] - vX_[4348] * vX_[1440] - vX_[6164] * vX_[312] -
+ vX_[6122] * vX_[301] - vX_[6806] * vX_[344] - vX_[3920] * vX_[340] - vX_[7038] - vX_[3913];
+ vX_[6806] = 0 - vX_[3913];
+ vX_[4333] = vX_[4330] * vX_[277] + vX_[4324] * vX_[280];
+ vX_[4328] = 0 - vX_[3920];
+ vX_[6122] = vX_[4333] + vX_[4328] * vX_[285];
+ vX_[6164] = vX_[4330] * vX_[279] + vX_[4324] * vX_[277];
+ vX_[4348] = vX_[6164] + vX_[3920] * vX_[282];
+ vX_[5451] = 0 - (vX_[8797] + vX_[5451] * vX_[321] + vX_[4335] * vX_[317] * 2. + vX_[4337] * vX_[1144]) + vX_[4330];
+ vX_[8797] = vX_[2922] * vX_[279] + vX_[4296] * vX_[277];
+ vX_[4335] = 0 - vX_[6598];
+ jac[420] =
+ (vX_[4341] * vX_[1430] + vX_[4338] * vX_[2051] + vX_[6165] * vX_[326] + vX_[4331] * 0.00185880198235362 +
+ vX_[6152] * -7.4114911576828e-06 + vX_[4330] * vX_[296] + vX_[3705] * vX_[281] + vX_[4558] * vX_[306] +
+ (vX_[5007] * vX_[280] + vX_[4558] * vX_[277]) * 8.81e-05 + vX_[6136] * vX_[291] + vX_[5682] * vX_[337] +
+ vX_[6564] * vX_[287] + vX_[3933] * vX_[283] + vX_[2922] * vX_[336] + vX_[4296] * vX_[335] +
+ vX_[7398] * vX_[1460] + vX_[1999] * vX_[1547] - (vX_[4342] * vX_[2049] + vX_[3925] * vX_[1116]) +
+ (vX_[4349] * vX_[1430] + vX_[3920] * vX_[293] + vX_[6806] * vX_[294] + vX_[6122] * 0.00185880198235362 +
+ vX_[4348] * 0.880992588508842 +
+ (0 - (vX_[6136] * vX_[277] + vX_[5451] * vX_[280] + vX_[6164] + vX_[8797] * vX_[285] +
+ vX_[6806] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[3933] * vX_[279] + vX_[6564] * vX_[277]) +
+ (vX_[6564] * vX_[277] + vX_[6598] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[8797]) * -0.1104774 + (0 - vX_[3913]) * 0.000881 + vX_[7398] * vX_[1109]) *
+ 0.35 -
+ (vX_[4347] * vX_[1605] + vX_[6117] * vX_[327] + vX_[4324] * vX_[292] + vX_[5007] * vX_[305] +
+ vX_[7532] * vX_[278] + (vX_[3705] * vX_[279] + vX_[7532] * vX_[277]) * -8.81e-05 +
+ vX_[5451] * vX_[295] + vX_[6598] * vX_[284] + vX_[6124] * vX_[338] + vX_[6564] * vX_[286] +
+ vX_[6144] * vX_[1616]) +
+ vX_[4351] * vX_[1392] + vX_[4386] * vX_[1627] + vX_[4371] * vX_[1578] + vX_[4388] * vX_[1635] +
+ vX_[4357] * vX_[1409] + vX_[4373] * vX_[1583] + vX_[4352] * vX_[1425] + vX_[4377] * vX_[1600] +
+ vX_[4370] * vX_[275] + vX_[4389] * vX_[1643] + vX_[4359] * vX_[1418] + vX_[7888] * vX_[1590] +
+ vX_[4362] * vX_[1427] + vX_[5728] * vX_[1393] + vX_[4365] * vX_[1439] + vX_[4379] * vX_[1445] +
+ vX_[4375] * vX_[1558] + vX_[4390] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[4341] * vX_[2049] + vX_[4342] * vX_[1430] + vX_[4338] * vX_[1605] + vX_[4347] * vX_[2051] +
+ vX_[6165] * vX_[327] + vX_[6117] * vX_[326] + vX_[4331] * -0.466187537174287 +
+ vX_[6152] * 0.00185880198235362 + vX_[4330] * vX_[292] + vX_[4324] * vX_[296] + vX_[5007] * vX_[306] +
+ vX_[3705] * vX_[278] + vX_[4558] * vX_[305] + vX_[7532] * vX_[281] +
+ (vX_[5007] * vX_[277] + vX_[4558] * vX_[279]) * -8.81e-05 +
+ (vX_[3705] * vX_[277] + vX_[7532] * vX_[280]) * 8.81e-05 + vX_[6136] * vX_[295] + vX_[5451] * vX_[291] +
+ vX_[5682] * vX_[338] + vX_[6564] * vX_[284] + vX_[6598] * vX_[287] + vX_[6124] * vX_[337] +
+ vX_[4335] * vX_[286] + vX_[6564] * vX_[283] + vX_[2922] * vX_[334] + vX_[4296] * vX_[336] +
+ (vX_[8797] * vX_[294] + vX_[4328] * vX_[289] + vX_[7038] * vX_[290] + (0 - vX_[6122]) * 0.414812462825713 +
+ (0 - (vX_[6136] * vX_[279] + vX_[5451] * vX_[277]) + vX_[4333] + vX_[7038] * vX_[285]) * 0.881 +
+ (0 - vX_[4348]) * 0.00185880198235362 +
+ (0 - (vX_[4335] * vX_[277] + vX_[6564] * vX_[280] +
+ (vX_[6564] * vX_[279] + vX_[6598] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[8797] * 0.0004405 + vX_[7038] * -0.2209548) *
+ -0.35 +
+ vX_[3925] * vX_[1460] + vX_[7398] * vX_[1116] + vX_[6144] * vX_[1547] + vX_[1999] * vX_[1616] +
+ (vX_[4349] * vX_[2049] + vX_[3925] * vX_[1109]) * 0.35 + vX_[4385] * vX_[1627] + vX_[4353] * vX_[1398] +
+ vX_[4388] * vX_[1638] + vX_[4357] * vX_[1412] + vX_[6381] * vX_[1585] + vX_[4361] * vX_[1427] +
+ vX_[5725] * vX_[1393] + vX_[4364] * vX_[303] + vX_[4389] * vX_[1646] + vX_[4359] * vX_[1421] +
+ vX_[4374] * vX_[1589] + vX_[4339] * vX_[1425] + vX_[4378] * vX_[1602] + vX_[6547] * vX_[275] +
+ vX_[7395] * vX_[1447] + vX_[4375] * vX_[1594] + vX_[3948] * vX_[1434] + vX_[3508] * vX_[1496] +
+ vX_[5727] * vX_[1513] + vX_[4356] * vX_[1534] + vX_[6150] * vX_[1522] + vX_[3257] * vX_[1527] +
+ vX_[3292] * vX_[1487] + vX_[3305] * vX_[1475] + vX_[8223] * vX_[1479] + vX_[6559] * vX_[1507] +
+ vX_[6138] * vX_[1510] + vX_[4514] * vX_[1567] + vX_[3437] * vX_[1513] + vX_[6536] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[4984] * vX_[1494] + vX_[5727] * vX_[1515] + vX_[8650] * vX_[1489] + vX_[4356] * vX_[1532] +
+ vX_[6150] * vX_[1524] + vX_[3257] * vX_[1528] + vX_[5701] * vX_[1485] + vX_[3711] * vX_[1472] +
+ vX_[8223] * vX_[1481] + vX_[6140] * vX_[1506] + vX_[5714] * vX_[1509] + vX_[6154] * vX_[1565] +
+ vX_[3437] * vX_[1558] + vX_[4391] * vX_[1433]) *
+ vX_[1383];
+ vX_[4759] = vX_[5267] + vX_[5306] * vX_[304] + vX_[4759] * vX_[317] + vX_[4770] * vX_[995];
+ vX_[4753] = vX_[5267] + vX_[2040] * vX_[276] + vX_[4753] * vX_[321] + vX_[4771] * vX_[1031];
+ vX_[5267] = vX_[4759] - vX_[4753];
+ vX_[4109] = vX_[5306] * vX_[276] + vX_[2040] * vX_[304] + vX_[4760] * vX_[321] + vX_[4109] * vX_[317] +
+ vX_[4770] * vX_[1031] + vX_[4771] * vX_[995];
+ vX_[4760] = vX_[5267] * vX_[277] + vX_[4109] * vX_[280];
+ vX_[2040] = vX_[5267] * vX_[279] + vX_[4109] * vX_[277];
+ vX_[4759] = 0 - vX_[4759];
+ vX_[5306] = 0 - vX_[4109];
+ vX_[3831] = vX_[4725] * vX_[304] + vX_[5034] * vX_[276] + vX_[3831] * vX_[317] + vX_[4770] * vX_[1144] +
+ vX_[4767] * vX_[995];
+ vX_[4335] = 0 - vX_[3831];
+ vX_[4107] = vX_[4725] * vX_[276] + vX_[5034] * vX_[303] + vX_[4107] * vX_[317] + vX_[4770] * vX_[1032] +
+ vX_[4776] * vX_[995];
+ vX_[4725] = 0 - vX_[4107];
+ vX_[5034] =
+ (vX_[4759] * vX_[311] + vX_[5306] * vX_[298] + vX_[4335] * vX_[307] + vX_[4725] * vX_[288]) * 1 / vX_[300];
+ vX_[4759] = vX_[4772] * vX_[1631] + vX_[4759] * vX_[312] + vX_[5034];
+ vX_[5321] = vX_[4027] * vX_[304] + vX_[1687] * vX_[276] + vX_[5321] * vX_[321] + vX_[4771] * vX_[1144] +
+ vX_[4767] * vX_[1031];
+ vX_[4753] = 0 - vX_[4753];
+ vX_[8797] = 0 - vX_[5321];
+ vX_[3581] = vX_[4027] * vX_[276] + vX_[1687] * vX_[303] + vX_[3581] * vX_[321] + vX_[4771] * vX_[1032] +
+ vX_[4776] * vX_[1031];
+ vX_[4027] = 0 - vX_[3581];
+ vX_[1687] = (vX_[4753] * vX_[298] + vX_[8797] * vX_[307] + vX_[4027] * vX_[288]) * 1 / vX_[300];
+ vX_[4753] = vX_[4773] * vX_[1631] + vX_[5306] * vX_[312] + vX_[4753] * vX_[301] + vX_[1687];
+ vX_[1656] = vX_[4757] + vX_[5263] * vX_[317] + vX_[1656] * vX_[321] * 2. + vX_[4766] * vX_[1032] - vX_[4753];
+ vX_[4757] = vX_[4764] + vX_[4767] * vX_[1144];
+ vX_[4762] = vX_[4762] + vX_[4776] * vX_[1032];
+ vX_[5306] = vX_[4757] - vX_[4762];
+ vX_[5451] = 0 - vX_[4757];
+ vX_[5263] = vX_[5263] + vX_[4767] * vX_[1032] + vX_[4776] * vX_[1144];
+ vX_[4348] = 0 - vX_[5263];
+ vX_[6164] = (vX_[5451] * vX_[307] + vX_[4348] * vX_[288]) * 1 / vX_[300];
+ vX_[5451] = vX_[4775] * vX_[1631] + vX_[4335] * vX_[312] + vX_[8797] * vX_[301] + vX_[5451] * vX_[344] + vX_[6164];
+ vX_[8797] = 0 - vX_[4762];
+ vX_[4335] = vX_[8797] * vX_[288] * 1 / vX_[300];
+ vX_[8797] = vX_[4777] * vX_[1631] + vX_[4725] * vX_[312] + vX_[4027] * vX_[301] + vX_[4348] * vX_[344] +
+ vX_[8797] * vX_[340] + vX_[4335];
+ vX_[4348] = 0 - vX_[8797];
+ vX_[4027] = vX_[5306] * vX_[277] + vX_[5263] * vX_[280];
+ vX_[4725] = vX_[5306] * vX_[279] + vX_[5263] * vX_[277];
+ vX_[6122] = vX_[4762] + vX_[4027] * vX_[277];
+ vX_[4328] = vX_[4762] + vX_[4725] * vX_[279];
+ vX_[4335] = vX_[4757] + vX_[4762] + 0 - vX_[4772] * vX_[920] - vX_[4773] * vX_[924] - vX_[4774] * vX_[1154] +
+ vX_[4774] * vX_[1631] - vX_[4775] * vX_[1232] - vX_[4777] * vX_[1440] - vX_[5034] * vX_[312] -
+ vX_[1687] * vX_[301] - vX_[6164] * vX_[344] - vX_[4335] * vX_[340] - vX_[6122] - vX_[4328];
+ vX_[6164] = 0 - vX_[4328];
+ vX_[4762] = vX_[4759] * vX_[277] + vX_[4753] * vX_[280];
+ vX_[4757] = 0 - vX_[4335];
+ vX_[1687] = vX_[4762] + vX_[4757] * vX_[285];
+ vX_[5034] = vX_[4759] * vX_[279] + vX_[4753] * vX_[277];
+ vX_[4777] = vX_[5034] + vX_[4335] * vX_[282];
+ vX_[5302] = 0 - (vX_[4991] + vX_[5302] * vX_[321] + vX_[4764] * vX_[317] * 2. + vX_[4766] * vX_[1144]) + vX_[4759];
+ vX_[4991] = vX_[4027] * vX_[279] + vX_[4725] * vX_[277];
+ vX_[4764] = 0 - vX_[8797];
+ jac[421] =
+ (vX_[4770] * vX_[1430] + vX_[4767] * vX_[2051] + vX_[5267] * vX_[326] + vX_[4760] * 0.00185880198235362 +
+ vX_[2040] * -7.4114911576828e-06 + vX_[4759] * vX_[296] + vX_[4107] * vX_[281] + vX_[3831] * vX_[306] +
+ (vX_[5321] * vX_[280] + vX_[3831] * vX_[277]) * 8.81e-05 + vX_[1656] * vX_[291] + vX_[5306] * vX_[337] +
+ vX_[5451] * vX_[287] + vX_[4348] * vX_[283] + vX_[4027] * vX_[336] + vX_[4725] * vX_[335] +
+ vX_[6573] * vX_[1460] + vX_[5393] * vX_[1547] - (vX_[4771] * vX_[2049] + vX_[4340] * vX_[1116]) +
+ (vX_[4778] * vX_[1430] + vX_[4335] * vX_[293] + vX_[6164] * vX_[294] + vX_[1687] * 0.00185880198235362 +
+ vX_[4777] * 0.880992588508842 +
+ (0 - (vX_[1656] * vX_[277] + vX_[5302] * vX_[280] + vX_[5034] + vX_[4991] * vX_[285] +
+ vX_[6164] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[4348] * vX_[279] + vX_[5451] * vX_[277]) +
+ (vX_[5451] * vX_[277] + vX_[8797] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[4991]) * -0.1104774 + (0 - vX_[4328]) * 0.000881 + vX_[6573] * vX_[1109]) *
+ 0.35 -
+ (vX_[4776] * vX_[1605] + vX_[4109] * vX_[327] + vX_[4753] * vX_[292] + vX_[5321] * vX_[305] +
+ vX_[3581] * vX_[278] + (vX_[4107] * vX_[279] + vX_[3581] * vX_[277]) * -8.81e-05 +
+ vX_[5302] * vX_[295] + vX_[8797] * vX_[284] + vX_[5263] * vX_[338] + vX_[5451] * vX_[286] +
+ vX_[5724] * vX_[1616]) +
+ vX_[4780] * vX_[1392] + vX_[4815] * vX_[1627] + vX_[4800] * vX_[1578] + vX_[4817] * vX_[1635] +
+ vX_[4786] * vX_[1409] + vX_[4802] * vX_[1583] + vX_[4781] * vX_[1425] + vX_[4806] * vX_[1600] +
+ vX_[4799] * vX_[275] + vX_[4818] * vX_[1643] + vX_[4788] * vX_[1418] + vX_[6946] * vX_[1590] +
+ vX_[4791] * vX_[1427] + vX_[1035] * vX_[1393] + vX_[4794] * vX_[1439] + vX_[4808] * vX_[1445] +
+ vX_[4804] * vX_[1558] + vX_[4819] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[4770] * vX_[2049] + vX_[4771] * vX_[1430] + vX_[4767] * vX_[1605] + vX_[4776] * vX_[2051] +
+ vX_[5267] * vX_[327] + vX_[4109] * vX_[326] + vX_[4760] * -0.466187537174287 +
+ vX_[2040] * 0.00185880198235362 + vX_[4759] * vX_[292] + vX_[4753] * vX_[296] + vX_[5321] * vX_[306] +
+ vX_[4107] * vX_[278] + vX_[3831] * vX_[305] + vX_[3581] * vX_[281] +
+ (vX_[5321] * vX_[277] + vX_[3831] * vX_[279]) * -8.81e-05 +
+ (vX_[4107] * vX_[277] + vX_[3581] * vX_[280]) * 8.81e-05 + vX_[1656] * vX_[295] + vX_[5302] * vX_[291] +
+ vX_[5306] * vX_[338] + vX_[5451] * vX_[284] + vX_[8797] * vX_[287] + vX_[5263] * vX_[337] +
+ vX_[4764] * vX_[286] + vX_[5451] * vX_[283] + vX_[4027] * vX_[334] + vX_[4725] * vX_[336] +
+ (vX_[4991] * vX_[294] + vX_[4757] * vX_[289] + vX_[6122] * vX_[290] + (0 - vX_[1687]) * 0.414812462825713 +
+ (0 - (vX_[1656] * vX_[279] + vX_[5302] * vX_[277]) + vX_[4762] + vX_[6122] * vX_[285]) * 0.881 +
+ (0 - vX_[4777]) * 0.00185880198235362 +
+ (0 - (vX_[4764] * vX_[277] + vX_[5451] * vX_[280] +
+ (vX_[5451] * vX_[279] + vX_[8797] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[4991] * 0.0004405 + vX_[6122] * -0.2209548) *
+ -0.35 +
+ vX_[4340] * vX_[1460] + vX_[6573] * vX_[1116] + vX_[5724] * vX_[1547] + vX_[5393] * vX_[1616] +
+ (vX_[4778] * vX_[2049] + vX_[4340] * vX_[1109]) * 0.35 + vX_[4814] * vX_[1627] + vX_[4782] * vX_[1398] +
+ vX_[4817] * vX_[1638] + vX_[4786] * vX_[1412] + vX_[6583] * vX_[1585] + vX_[4790] * vX_[1427] +
+ vX_[989] * vX_[1393] + vX_[4793] * vX_[303] + vX_[4818] * vX_[1646] + vX_[4788] * vX_[1421] +
+ vX_[4803] * vX_[1589] + vX_[4768] * vX_[1425] + vX_[4807] * vX_[1602] + vX_[1307] * vX_[275] +
+ vX_[7951] * vX_[1447] + vX_[4804] * vX_[1594] + vX_[4363] * vX_[1434] + vX_[4136] * vX_[1496] +
+ vX_[5272] * vX_[1513] + vX_[4785] * vX_[1534] + vX_[5723] * vX_[1522] + vX_[5268] * vX_[1527] +
+ vX_[5280] * vX_[1487] + vX_[4985] * vX_[1475] + vX_[3701] * vX_[1479] + vX_[6123] * vX_[1507] +
+ vX_[5003] * vX_[1510] + vX_[4943] * vX_[1567] + vX_[2479] * vX_[1513] + vX_[6141] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[5287] * vX_[1494] + vX_[5272] * vX_[1515] + vX_[2091] * vX_[1489] + vX_[4785] * vX_[1532] +
+ vX_[5723] * vX_[1524] + vX_[5268] * vX_[1528] + vX_[2937] * vX_[1485] + vX_[5276] * vX_[1472] +
+ vX_[3701] * vX_[1481] + vX_[1355] * vX_[1506] + vX_[5270] * vX_[1509] + vX_[5698] * vX_[1565] +
+ vX_[2479] * vX_[1558] + vX_[4820] * vX_[1433]) *
+ vX_[1383];
+ vX_[5188] = vX_[2094] + vX_[4875] * vX_[304] + vX_[5188] * vX_[317] + vX_[5199] * vX_[995];
+ vX_[5182] = vX_[2094] + vX_[2068] * vX_[276] + vX_[5182] * vX_[321] + vX_[5200] * vX_[1031];
+ vX_[2094] = vX_[5188] - vX_[5182];
+ vX_[4890] = vX_[4875] * vX_[276] + vX_[2068] * vX_[304] + vX_[5189] * vX_[321] + vX_[4890] * vX_[317] +
+ vX_[5199] * vX_[1031] + vX_[5200] * vX_[995];
+ vX_[5189] = vX_[2094] * vX_[277] + vX_[4890] * vX_[280];
+ vX_[2068] = vX_[2094] * vX_[279] + vX_[4890] * vX_[277];
+ vX_[5188] = 0 - vX_[5188];
+ vX_[4875] = 0 - vX_[4890];
+ vX_[2453] = vX_[5154] * vX_[304] + vX_[1762] * vX_[276] + vX_[2453] * vX_[317] + vX_[5199] * vX_[1144] +
+ vX_[5196] * vX_[995];
+ vX_[4764] = 0 - vX_[2453];
+ vX_[2498] = vX_[5154] * vX_[276] + vX_[1762] * vX_[303] + vX_[2498] * vX_[317] + vX_[5199] * vX_[1032] +
+ vX_[5205] * vX_[995];
+ vX_[5154] = 0 - vX_[2498];
+ vX_[1762] =
+ (vX_[5188] * vX_[311] + vX_[4875] * vX_[298] + vX_[4764] * vX_[307] + vX_[5154] * vX_[288]) * 1 / vX_[300];
+ vX_[5188] = vX_[5201] * vX_[1631] + vX_[5188] * vX_[312] + vX_[1762];
+ vX_[4460] = vX_[4888] * vX_[304] + vX_[2097] * vX_[276] + vX_[4460] * vX_[321] + vX_[5200] * vX_[1144] +
+ vX_[5196] * vX_[1031];
+ vX_[5182] = 0 - vX_[5182];
+ vX_[4991] = 0 - vX_[4460];
+ vX_[4073] = vX_[4888] * vX_[276] + vX_[2097] * vX_[303] + vX_[4073] * vX_[321] + vX_[5200] * vX_[1032] +
+ vX_[5205] * vX_[1031];
+ vX_[4888] = 0 - vX_[4073];
+ vX_[2097] = (vX_[5182] * vX_[298] + vX_[4991] * vX_[307] + vX_[4888] * vX_[288]) * 1 / vX_[300];
+ vX_[5182] = vX_[5202] * vX_[1631] + vX_[4875] * vX_[312] + vX_[5182] * vX_[301] + vX_[2097];
+ vX_[2073] = vX_[5186] + vX_[4964] * vX_[317] + vX_[2073] * vX_[321] * 2. + vX_[5195] * vX_[1032] - vX_[5182];
+ vX_[5186] = vX_[5193] + vX_[5196] * vX_[1144];
+ vX_[5191] = vX_[5191] + vX_[5205] * vX_[1032];
+ vX_[4875] = vX_[5186] - vX_[5191];
+ vX_[5302] = 0 - vX_[5186];
+ vX_[4964] = vX_[4964] + vX_[5196] * vX_[1032] + vX_[5205] * vX_[1144];
+ vX_[4777] = 0 - vX_[4964];
+ vX_[5034] = (vX_[5302] * vX_[307] + vX_[4777] * vX_[288]) * 1 / vX_[300];
+ vX_[5302] = vX_[5204] * vX_[1631] + vX_[4764] * vX_[312] + vX_[4991] * vX_[301] + vX_[5302] * vX_[344] + vX_[5034];
+ vX_[4991] = 0 - vX_[5191];
+ vX_[4764] = vX_[4991] * vX_[288] * 1 / vX_[300];
+ vX_[4991] = vX_[5206] * vX_[1631] + vX_[5154] * vX_[312] + vX_[4888] * vX_[301] + vX_[4777] * vX_[344] +
+ vX_[4991] * vX_[340] + vX_[4764];
+ vX_[4777] = 0 - vX_[4991];
+ vX_[4888] = vX_[4875] * vX_[277] + vX_[4964] * vX_[280];
+ vX_[5154] = vX_[4875] * vX_[279] + vX_[4964] * vX_[277];
+ vX_[1687] = vX_[5191] + vX_[4888] * vX_[277];
+ vX_[4757] = vX_[5191] + vX_[5154] * vX_[279];
+ vX_[4764] = vX_[5186] + vX_[5191] + 0 - vX_[5201] * vX_[920] - vX_[5202] * vX_[924] - vX_[5203] * vX_[1154] +
+ vX_[5203] * vX_[1631] - vX_[5204] * vX_[1232] - vX_[5206] * vX_[1440] - vX_[1762] * vX_[312] -
+ vX_[2097] * vX_[301] - vX_[5034] * vX_[344] - vX_[4764] * vX_[340] - vX_[1687] - vX_[4757];
+ vX_[5034] = 0 - vX_[4757];
+ vX_[5191] = vX_[5188] * vX_[277] + vX_[5182] * vX_[280];
+ vX_[5186] = 0 - vX_[4764];
+ vX_[2097] = vX_[5191] + vX_[5186] * vX_[285];
+ vX_[1762] = vX_[5188] * vX_[279] + vX_[5182] * vX_[277];
+ vX_[5206] = vX_[1762] + vX_[4764] * vX_[282];
+ vX_[4428] = 0 - (vX_[4872] + vX_[4428] * vX_[321] + vX_[5193] * vX_[317] * 2. + vX_[5195] * vX_[1144]) + vX_[5188];
+ vX_[4872] = vX_[4888] * vX_[279] + vX_[5154] * vX_[277];
+ vX_[5193] = 0 - vX_[4991];
+ jac[422] =
+ (vX_[5199] * vX_[1430] + vX_[5196] * vX_[2051] + vX_[2094] * vX_[326] + vX_[5189] * 0.00185880198235362 +
+ vX_[2068] * -7.4114911576828e-06 + vX_[5188] * vX_[296] + vX_[2498] * vX_[281] + vX_[2453] * vX_[306] +
+ (vX_[4460] * vX_[280] + vX_[2453] * vX_[277]) * 8.81e-05 + vX_[2073] * vX_[291] + vX_[4875] * vX_[337] +
+ vX_[5302] * vX_[287] + vX_[4777] * vX_[283] + vX_[4888] * vX_[336] + vX_[5154] * vX_[335] +
+ vX_[6153] * vX_[1460] + vX_[4844] * vX_[1547] - (vX_[5200] * vX_[2049] + vX_[4769] * vX_[1116]) +
+ (vX_[5207] * vX_[1430] + vX_[4764] * vX_[293] + vX_[5034] * vX_[294] + vX_[2097] * 0.00185880198235362 +
+ vX_[5206] * 0.880992588508842 +
+ (0 - (vX_[2073] * vX_[277] + vX_[4428] * vX_[280] + vX_[1762] + vX_[4872] * vX_[285] +
+ vX_[5034] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[4777] * vX_[279] + vX_[5302] * vX_[277]) +
+ (vX_[5302] * vX_[277] + vX_[4991] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[4872]) * -0.1104774 + (0 - vX_[4757]) * 0.000881 + vX_[6153] * vX_[1109]) *
+ 0.35 -
+ (vX_[5205] * vX_[1605] + vX_[4890] * vX_[327] + vX_[5182] * vX_[292] + vX_[4460] * vX_[305] +
+ vX_[4073] * vX_[278] + (vX_[2498] * vX_[279] + vX_[4073] * vX_[277]) * -8.81e-05 +
+ vX_[4428] * vX_[295] + vX_[4991] * vX_[284] + vX_[4964] * vX_[338] + vX_[5302] * vX_[286] +
+ vX_[5779] * vX_[1616]) +
+ vX_[5209] * vX_[1392] + vX_[5244] * vX_[1627] + vX_[5229] * vX_[1578] + vX_[5246] * vX_[1635] +
+ vX_[5215] * vX_[1409] + vX_[5231] * vX_[1583] + vX_[5210] * vX_[1425] + vX_[5235] * vX_[1600] +
+ vX_[5228] * vX_[275] + vX_[5247] * vX_[1643] + vX_[5217] * vX_[1418] + vX_[8789] * vX_[1590] +
+ vX_[5220] * vX_[1427] + vX_[4007] * vX_[1393] + vX_[5223] * vX_[1439] + vX_[5237] * vX_[1445] +
+ vX_[5233] * vX_[1558] + vX_[5248] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[5199] * vX_[2049] + vX_[5200] * vX_[1430] + vX_[5196] * vX_[1605] + vX_[5205] * vX_[2051] +
+ vX_[2094] * vX_[327] + vX_[4890] * vX_[326] + vX_[5189] * -0.466187537174287 +
+ vX_[2068] * 0.00185880198235362 + vX_[5188] * vX_[292] + vX_[5182] * vX_[296] + vX_[4460] * vX_[306] +
+ vX_[2498] * vX_[278] + vX_[2453] * vX_[305] + vX_[4073] * vX_[281] +
+ (vX_[4460] * vX_[277] + vX_[2453] * vX_[279]) * -8.81e-05 +
+ (vX_[2498] * vX_[277] + vX_[4073] * vX_[280]) * 8.81e-05 + vX_[2073] * vX_[295] + vX_[4428] * vX_[291] +
+ vX_[4875] * vX_[338] + vX_[5302] * vX_[284] + vX_[4991] * vX_[287] + vX_[4964] * vX_[337] +
+ vX_[5193] * vX_[286] + vX_[5302] * vX_[283] + vX_[4888] * vX_[334] + vX_[5154] * vX_[336] +
+ (vX_[4872] * vX_[294] + vX_[5186] * vX_[289] + vX_[1687] * vX_[290] + (0 - vX_[2097]) * 0.414812462825713 +
+ (0 - (vX_[2073] * vX_[279] + vX_[4428] * vX_[277]) + vX_[5191] + vX_[1687] * vX_[285]) * 0.881 +
+ (0 - vX_[5206]) * 0.00185880198235362 +
+ (0 - (vX_[5193] * vX_[277] + vX_[5302] * vX_[280] +
+ (vX_[5302] * vX_[279] + vX_[4991] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[4872] * 0.0004405 + vX_[1687] * -0.2209548) *
+ -0.35 +
+ vX_[4769] * vX_[1460] + vX_[6153] * vX_[1116] + vX_[5779] * vX_[1547] + vX_[4844] * vX_[1616] +
+ (vX_[5207] * vX_[2049] + vX_[4769] * vX_[1109]) * 0.35 + vX_[5243] * vX_[1627] + vX_[5211] * vX_[1398] +
+ vX_[5246] * vX_[1638] + vX_[5215] * vX_[1412] + vX_[6127] * vX_[1585] + vX_[5219] * vX_[1427] +
+ vX_[2914] * vX_[1393] + vX_[5222] * vX_[303] + vX_[5247] * vX_[1646] + vX_[5217] * vX_[1421] +
+ vX_[5232] * vX_[1589] + vX_[5197] * vX_[1425] + vX_[5236] * vX_[1602] + vX_[4065] * vX_[275] +
+ vX_[5705] * vX_[1447] + vX_[5233] * vX_[1594] + vX_[4792] * vX_[1434] + vX_[4847] * vX_[1496] +
+ vX_[4682] * vX_[1513] + vX_[5214] * vX_[1534] + vX_[2811] * vX_[1522] + vX_[4664] * vX_[1527] +
+ vX_[4666] * vX_[1487] + vX_[4504] * vX_[1475] + vX_[4568] * vX_[1479] + vX_[4494] * vX_[1507] +
+ vX_[1450] * vX_[1510] + vX_[5372] * vX_[1567] + vX_[5513] * vX_[1513] + vX_[2858] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[4849] * vX_[1494] + vX_[4682] * vX_[1515] + vX_[2105] * vX_[1489] + vX_[5214] * vX_[1532] +
+ vX_[2811] * vX_[1524] + vX_[4664] * vX_[1528] + vX_[4145] * vX_[1485] + vX_[4409] * vX_[1472] +
+ vX_[4568] * vX_[1481] + vX_[2061] * vX_[1506] + vX_[4665] * vX_[1509] + vX_[4574] * vX_[1565] +
+ vX_[5513] * vX_[1558] + vX_[5249] * vX_[1433]) *
+ vX_[1383];
+ vX_[5607] = vX_[4447] + vX_[6663] * vX_[304] + vX_[5607] * vX_[317] + vX_[5618] * vX_[995];
+ vX_[5601] = vX_[4447] + vX_[4412] * vX_[276] + vX_[5601] * vX_[321] + vX_[5619] * vX_[1031];
+ vX_[4447] = vX_[5607] - vX_[5601];
+ vX_[5418] = vX_[6663] * vX_[276] + vX_[4412] * vX_[304] + vX_[5608] * vX_[321] + vX_[5418] * vX_[317] +
+ vX_[5618] * vX_[1031] + vX_[5619] * vX_[995];
+ vX_[5608] = vX_[4447] * vX_[277] + vX_[5418] * vX_[280];
+ vX_[4412] = vX_[4447] * vX_[279] + vX_[5418] * vX_[277];
+ vX_[5607] = 0 - vX_[5607];
+ vX_[6663] = 0 - vX_[5418];
+ vX_[4550] = vX_[5426] * vX_[304] + vX_[4432] * vX_[276] + vX_[4550] * vX_[317] + vX_[5618] * vX_[1144] +
+ vX_[5615] * vX_[995];
+ vX_[5193] = 0 - vX_[4550];
+ vX_[5420] = vX_[5426] * vX_[276] + vX_[4432] * vX_[303] + vX_[5420] * vX_[317] + vX_[5618] * vX_[1032] +
+ vX_[5624] * vX_[995];
+ vX_[5426] = 0 - vX_[5420];
+ vX_[4432] =
+ (vX_[5607] * vX_[311] + vX_[6663] * vX_[298] + vX_[5193] * vX_[307] + vX_[5426] * vX_[288]) * 1 / vX_[300];
+ vX_[5607] = vX_[5620] * vX_[1631] + vX_[5607] * vX_[312] + vX_[4432];
+ vX_[5413] = vX_[5573] * vX_[304] + vX_[5416] * vX_[276] + vX_[5413] * vX_[321] + vX_[5619] * vX_[1144] +
+ vX_[5615] * vX_[1031];
+ vX_[5601] = 0 - vX_[5601];
+ vX_[4872] = 0 - vX_[5413];
+ vX_[6461] = vX_[5573] * vX_[276] + vX_[5416] * vX_[303] + vX_[6461] * vX_[321] + vX_[5619] * vX_[1032] +
+ vX_[5624] * vX_[1031];
+ vX_[5573] = 0 - vX_[6461];
+ vX_[5416] = (vX_[5601] * vX_[298] + vX_[4872] * vX_[307] + vX_[5573] * vX_[288]) * 1 / vX_[300];
+ vX_[5601] = vX_[5621] * vX_[1631] + vX_[6663] * vX_[312] + vX_[5601] * vX_[301] + vX_[5416];
+ vX_[4490] = vX_[5605] + vX_[4414] * vX_[317] + vX_[4490] * vX_[321] * 2. + vX_[5614] * vX_[1032] - vX_[5601];
+ vX_[5605] = vX_[5612] + vX_[5615] * vX_[1144];
+ vX_[5610] = vX_[5610] + vX_[5624] * vX_[1032];
+ vX_[6663] = vX_[5605] - vX_[5610];
+ vX_[4428] = 0 - vX_[5605];
+ vX_[4414] = vX_[4414] + vX_[5615] * vX_[1032] + vX_[5624] * vX_[1144];
+ vX_[5206] = 0 - vX_[4414];
+ vX_[1762] = (vX_[4428] * vX_[307] + vX_[5206] * vX_[288]) * 1 / vX_[300];
+ vX_[4428] = vX_[5623] * vX_[1631] + vX_[5193] * vX_[312] + vX_[4872] * vX_[301] + vX_[4428] * vX_[344] + vX_[1762];
+ vX_[4872] = 0 - vX_[5610];
+ vX_[5193] = vX_[4872] * vX_[288] * 1 / vX_[300];
+ vX_[4872] = vX_[5625] * vX_[1631] + vX_[5426] * vX_[312] + vX_[5573] * vX_[301] + vX_[5206] * vX_[344] +
+ vX_[4872] * vX_[340] + vX_[5193];
+ vX_[5206] = 0 - vX_[4872];
+ vX_[5573] = vX_[6663] * vX_[277] + vX_[4414] * vX_[280];
+ vX_[5426] = vX_[6663] * vX_[279] + vX_[4414] * vX_[277];
+ vX_[2097] = vX_[5610] + vX_[5573] * vX_[277];
+ vX_[5186] = vX_[5610] + vX_[5426] * vX_[279];
+ vX_[5193] = vX_[5605] + vX_[5610] + 0 - vX_[5620] * vX_[920] - vX_[5621] * vX_[924] - vX_[5622] * vX_[1154] +
+ vX_[5622] * vX_[1631] - vX_[5623] * vX_[1232] - vX_[5625] * vX_[1440] - vX_[4432] * vX_[312] -
+ vX_[5416] * vX_[301] - vX_[1762] * vX_[344] - vX_[5193] * vX_[340] - vX_[2097] - vX_[5186];
+ vX_[1762] = 0 - vX_[5186];
+ vX_[5610] = vX_[5607] * vX_[277] + vX_[5601] * vX_[280];
+ vX_[5605] = 0 - vX_[5193];
+ vX_[5416] = vX_[5610] + vX_[5605] * vX_[285];
+ vX_[4432] = vX_[5607] * vX_[279] + vX_[5601] * vX_[277];
+ vX_[5625] = vX_[4432] + vX_[5193] * vX_[282];
+ vX_[5352] = 0 - (vX_[4045] + vX_[5352] * vX_[321] + vX_[5612] * vX_[317] * 2. + vX_[5614] * vX_[1144]) + vX_[5607];
+ vX_[4045] = vX_[5573] * vX_[279] + vX_[5426] * vX_[277];
+ vX_[5612] = 0 - vX_[4872];
+ jac[423] =
+ (vX_[5618] * vX_[1430] + vX_[5615] * vX_[2051] + vX_[4447] * vX_[326] + vX_[5608] * 0.00185880198235362 +
+ vX_[4412] * -7.4114911576828e-06 + vX_[5607] * vX_[296] + vX_[5420] * vX_[281] + vX_[4550] * vX_[306] +
+ (vX_[5413] * vX_[280] + vX_[4550] * vX_[277]) * 8.81e-05 + vX_[4490] * vX_[291] + vX_[6663] * vX_[337] +
+ vX_[4428] * vX_[287] + vX_[5206] * vX_[283] + vX_[5573] * vX_[336] + vX_[5426] * vX_[335] +
+ vX_[1611] * vX_[1460] + vX_[3761] * vX_[1547] - (vX_[5619] * vX_[2049] + vX_[5198] * vX_[1116]) +
+ (vX_[5626] * vX_[1430] + vX_[5193] * vX_[293] + vX_[1762] * vX_[294] + vX_[5416] * 0.00185880198235362 +
+ vX_[5625] * 0.880992588508842 +
+ (0 - (vX_[4490] * vX_[277] + vX_[5352] * vX_[280] + vX_[4432] + vX_[4045] * vX_[285] +
+ vX_[1762] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[5206] * vX_[279] + vX_[4428] * vX_[277]) +
+ (vX_[4428] * vX_[277] + vX_[4872] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[4045]) * -0.1104774 + (0 - vX_[5186]) * 0.000881 + vX_[1611] * vX_[1109]) *
+ 0.35 -
+ (vX_[5624] * vX_[1605] + vX_[5418] * vX_[327] + vX_[5601] * vX_[292] + vX_[5413] * vX_[305] +
+ vX_[6461] * vX_[278] + (vX_[5420] * vX_[279] + vX_[6461] * vX_[277]) * -8.81e-05 +
+ vX_[5352] * vX_[295] + vX_[4872] * vX_[284] + vX_[4414] * vX_[338] + vX_[4428] * vX_[286] +
+ vX_[4401] * vX_[1616]) +
+ vX_[5628] * vX_[1392] + vX_[5663] * vX_[1627] + vX_[5648] * vX_[1578] + vX_[5665] * vX_[1635] +
+ vX_[5634] * vX_[1409] + vX_[5650] * vX_[1583] + vX_[5629] * vX_[1425] + vX_[5654] * vX_[1600] +
+ vX_[5647] * vX_[275] + vX_[5666] * vX_[1643] + vX_[5636] * vX_[1418] + vX_[39] * vX_[1590] +
+ vX_[5639] * vX_[1427] + vX_[4961] * vX_[1393] + vX_[5642] * vX_[1439] + vX_[5656] * vX_[1445] +
+ vX_[5652] * vX_[1558] + vX_[5667] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[5618] * vX_[2049] + vX_[5619] * vX_[1430] + vX_[5615] * vX_[1605] + vX_[5624] * vX_[2051] +
+ vX_[4447] * vX_[327] + vX_[5418] * vX_[326] + vX_[5608] * -0.466187537174287 +
+ vX_[4412] * 0.00185880198235362 + vX_[5607] * vX_[292] + vX_[5601] * vX_[296] + vX_[5413] * vX_[306] +
+ vX_[5420] * vX_[278] + vX_[4550] * vX_[305] + vX_[6461] * vX_[281] +
+ (vX_[5413] * vX_[277] + vX_[4550] * vX_[279]) * -8.81e-05 +
+ (vX_[5420] * vX_[277] + vX_[6461] * vX_[280]) * 8.81e-05 + vX_[4490] * vX_[295] + vX_[5352] * vX_[291] +
+ vX_[6663] * vX_[338] + vX_[4428] * vX_[284] + vX_[4872] * vX_[287] + vX_[4414] * vX_[337] +
+ vX_[5612] * vX_[286] + vX_[4428] * vX_[283] + vX_[5573] * vX_[334] + vX_[5426] * vX_[336] +
+ (vX_[4045] * vX_[294] + vX_[5605] * vX_[289] + vX_[2097] * vX_[290] + (0 - vX_[5416]) * 0.414812462825713 +
+ (0 - (vX_[4490] * vX_[279] + vX_[5352] * vX_[277]) + vX_[5610] + vX_[2097] * vX_[285]) * 0.881 +
+ (0 - vX_[5625]) * 0.00185880198235362 +
+ (0 - (vX_[5612] * vX_[277] + vX_[4428] * vX_[280] +
+ (vX_[4428] * vX_[279] + vX_[4872] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[4045] * 0.0004405 + vX_[2097] * -0.2209548) *
+ -0.35 +
+ vX_[5198] * vX_[1460] + vX_[1611] * vX_[1116] + vX_[4401] * vX_[1547] + vX_[3761] * vX_[1616] +
+ (vX_[5626] * vX_[2049] + vX_[5198] * vX_[1109]) * 0.35 + vX_[5662] * vX_[1627] + vX_[5630] * vX_[1398] +
+ vX_[5665] * vX_[1638] + vX_[5634] * vX_[1412] + vX_[1665] * vX_[1585] + vX_[5638] * vX_[1427] +
+ vX_[4944] * vX_[1393] + vX_[5641] * vX_[303] + vX_[5666] * vX_[1646] + vX_[5636] * vX_[1421] +
+ vX_[5651] * vX_[1589] + vX_[5616] * vX_[1425] + vX_[5655] * vX_[1602] + vX_[3992] * vX_[275] +
+ vX_[2812] * vX_[1447] + vX_[5652] * vX_[1594] + vX_[4861] * vX_[1434] + vX_[6443] * vX_[1496] +
+ vX_[4033] * vX_[1513] + vX_[5633] * vX_[1534] + vX_[4405] * vX_[1522] + vX_[4975] * vX_[1527] +
+ vX_[4047] * vX_[1487] + vX_[4120] * vX_[1475] + vX_[2867] * vX_[1479] + vX_[4446] * vX_[1507] +
+ vX_[2443] * vX_[1510] + vX_[5791] * vX_[1567] + vX_[4014] * vX_[1513] + vX_[5221] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[6106] * vX_[1494] + vX_[4033] * vX_[1515] + vX_[5771] * vX_[1489] + vX_[5633] * vX_[1532] +
+ vX_[4405] * vX_[1524] + vX_[4975] * vX_[1528] + vX_[4982] * vX_[1485] + vX_[5167] * vX_[1472] +
+ vX_[2867] * vX_[1481] + vX_[6662] * vX_[1506] + vX_[4458] * vX_[1509] + vX_[2874] * vX_[1565] +
+ vX_[4014] * vX_[1558] + vX_[5668] * vX_[1433]) *
+ vX_[1383];
+ vX_[6036] = vX_[7502] + vX_[5808] * vX_[304] + vX_[6036] * vX_[317] + vX_[6047] * vX_[995];
+ vX_[6030] = vX_[7502] + vX_[7470] * vX_[276] + vX_[6030] * vX_[321] + vX_[6048] * vX_[1031];
+ vX_[7502] = vX_[6036] - vX_[6030];
+ vX_[5847] = vX_[5808] * vX_[276] + vX_[7470] * vX_[304] + vX_[6037] * vX_[321] + vX_[5847] * vX_[317] +
+ vX_[6047] * vX_[1031] + vX_[6048] * vX_[995];
+ vX_[6037] = vX_[7502] * vX_[277] + vX_[5847] * vX_[280];
+ vX_[7470] = vX_[7502] * vX_[279] + vX_[5847] * vX_[277];
+ vX_[1376] = vX_[1375] * vX_[4536] + vX_[1376] * vX_[4415] + vX_[1374] * vX_[4420] + vX_[995];
+ vX_[6036] = 0 - vX_[6036];
+ vX_[1375] = 0 - vX_[5847];
+ vX_[5813] = vX_[5855] * vX_[304] + vX_[6457] * vX_[276] + vX_[5813] * vX_[317] + vX_[6047] * vX_[1144] +
+ vX_[6044] * vX_[995];
+ vX_[5808] = 0 - vX_[5813];
+ vX_[3652] = vX_[5855] * vX_[276] + vX_[6457] * vX_[303] + vX_[3652] * vX_[317] + vX_[6047] * vX_[1032] +
+ vX_[6053] * vX_[995];
+ vX_[5855] = 0 - vX_[3652];
+ vX_[6457] =
+ (vX_[6036] * vX_[311] + vX_[1375] * vX_[298] + vX_[5808] * vX_[307] + vX_[5855] * vX_[288]) * 1 / vX_[300];
+ vX_[6036] = vX_[5841] * vX_[1376] + vX_[6049] * vX_[1631] + vX_[6036] * vX_[312] + vX_[6457];
+ vX_[5838] = vX_[5839] * vX_[304] + vX_[5845] * vX_[276] + vX_[5838] * vX_[321] + vX_[6048] * vX_[1144] +
+ vX_[6044] * vX_[1031];
+ vX_[4420] = vX_[303] * vX_[4536] + vX_[321] * vX_[4415] + vX_[1378] * vX_[4420] + vX_[1031];
+ vX_[6030] = 0 - vX_[6030];
+ vX_[4536] = 0 - vX_[5838];
+ vX_[6161] = vX_[5839] * vX_[276] + vX_[5845] * vX_[303] + vX_[6161] * vX_[321] + vX_[6048] * vX_[1032] +
+ vX_[6053] * vX_[1031];
+ vX_[5839] = 0 - vX_[6161];
+ vX_[5845] = (vX_[6030] * vX_[298] + vX_[4536] * vX_[307] + vX_[5839] * vX_[288]) * 1 / vX_[300];
+ vX_[6030] = vX_[5843] * vX_[4420] + vX_[6050] * vX_[1631] + vX_[1375] * vX_[312] + vX_[6030] * vX_[301] + vX_[5845];
+ vX_[3205] = vX_[6034] + vX_[7487] * vX_[317] + vX_[3205] * vX_[321] * 2. + vX_[6043] * vX_[1032] - vX_[6030];
+ vX_[6034] = vX_[6041] + vX_[6044] * vX_[1144];
+ vX_[6039] = vX_[6039] + vX_[6053] * vX_[1032];
+ vX_[1375] = vX_[6034] - vX_[6039];
+ vX_[5843] = vX_[304] * vX_[3653] + vX_[276] * vX_[5414] + vX_[1144];
+ vX_[5841] = 0 - vX_[6034];
+ vX_[7487] = vX_[7487] + vX_[6044] * vX_[1032] + vX_[6053] * vX_[1144];
+ vX_[5612] = 0 - vX_[7487];
+ vX_[4045] = (vX_[5841] * vX_[307] + vX_[5612] * vX_[288]) * 1 / vX_[300];
+ vX_[5841] = vX_[5833] * vX_[5843] + vX_[6052] * vX_[1631] + vX_[5808] * vX_[312] + vX_[4536] * vX_[301] +
+ vX_[5841] * vX_[344] + vX_[4045];
+ vX_[3653] = vX_[276] * vX_[3653] + vX_[303] * vX_[5414] + vX_[1032];
+ vX_[5414] = 0 - vX_[6039];
+ vX_[4536] = vX_[5414] * vX_[288] * 1 / vX_[300];
+ vX_[5414] = vX_[5835] * vX_[3653] + vX_[6054] * vX_[1631] + vX_[5855] * vX_[312] + vX_[5839] * vX_[301] +
+ vX_[5612] * vX_[344] + vX_[5414] * vX_[340] + vX_[4536];
+ vX_[5612] = 0 - vX_[5414];
+ vX_[5839] = vX_[1375] * vX_[277] + vX_[7487] * vX_[280];
+ vX_[5855] = vX_[1375] * vX_[279] + vX_[7487] * vX_[277];
+ vX_[5835] = (vX_[1631] - vX_[300] * vX_[4415] - vX_[307] * vX_[5843] - vX_[288] * vX_[3653] - vX_[311] * vX_[1376] -
+ vX_[298] * vX_[4420]) /
+ vX_[300];
+ vX_[5808] = vX_[6039] + vX_[5839] * vX_[277];
+ vX_[5833] = vX_[6039] + vX_[5855] * vX_[279];
+ vX_[4536] = vX_[6034] + vX_[6039] + 0 - vX_[5832] * vX_[5835] + vX_[5848] * vX_[4415] - vX_[6049] * vX_[920] -
+ vX_[6050] * vX_[924] - vX_[6051] * vX_[1154] + vX_[6051] * vX_[1631] - vX_[6052] * vX_[1232] -
+ vX_[6054] * vX_[1440] - vX_[6457] * vX_[312] - vX_[5845] * vX_[301] - vX_[4045] * vX_[344] -
+ vX_[4536] * vX_[340] - vX_[5808] - vX_[5833];
+ vX_[4045] = 0 - vX_[5833];
+ vX_[6039] = vX_[6036] * vX_[277] + vX_[6030] * vX_[280];
+ vX_[6034] = 0 - vX_[4536];
+ vX_[5845] = vX_[6039] + vX_[6034] * vX_[285];
+ vX_[6457] = vX_[6036] * vX_[279] + vX_[6030] * vX_[277];
+ vX_[6054] = vX_[6457] + vX_[4536] * vX_[282];
+ vX_[6231] = 0 - (vX_[7471] + vX_[6231] * vX_[321] + vX_[6041] * vX_[317] * 2. + vX_[6043] * vX_[1144]) + vX_[6036];
+ vX_[7471] = vX_[5839] * vX_[279] + vX_[5855] * vX_[277];
+ vX_[6041] = 0 - vX_[5414];
+ jac[424] =
+ (vX_[6047] * vX_[1430] + vX_[6044] * vX_[2051] + vX_[7502] * vX_[326] + vX_[6037] * 0.00185880198235362 +
+ vX_[7470] * -7.4114911576828e-06 + vX_[6036] * vX_[296] + vX_[3652] * vX_[281] + vX_[5813] * vX_[306] +
+ (vX_[5838] * vX_[280] + vX_[5813] * vX_[277]) * 8.81e-05 + vX_[3205] * vX_[291] + vX_[1375] * vX_[337] +
+ vX_[5841] * vX_[287] + vX_[5612] * vX_[283] + vX_[5839] * vX_[336] + vX_[5855] * vX_[335] +
+ vX_[4873] * vX_[1460] + vX_[3651] * vX_[1547] - (vX_[6048] * vX_[2049] + vX_[5617] * vX_[1116]) +
+ (vX_[6055] * vX_[1430] + vX_[4536] * vX_[293] + vX_[4045] * vX_[294] + vX_[5845] * 0.00185880198235362 +
+ vX_[6054] * 0.880992588508842 +
+ (0 - (vX_[3205] * vX_[277] + vX_[6231] * vX_[280] + vX_[6457] + vX_[7471] * vX_[285] +
+ vX_[4045] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[5612] * vX_[279] + vX_[5841] * vX_[277]) +
+ (vX_[5841] * vX_[277] + vX_[5414] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[7471]) * -0.1104774 + (0 - vX_[5833]) * 0.000881 + vX_[4873] * vX_[1109]) *
+ 0.35 -
+ (vX_[6053] * vX_[1605] + vX_[5847] * vX_[327] + vX_[6030] * vX_[292] + vX_[5838] * vX_[305] +
+ vX_[6161] * vX_[278] + (vX_[3652] * vX_[279] + vX_[6161] * vX_[277]) * -8.81e-05 +
+ vX_[6231] * vX_[295] + vX_[5414] * vX_[284] + vX_[7487] * vX_[338] + vX_[5841] * vX_[286] +
+ vX_[5421] * vX_[1616]) +
+ vX_[6057] * vX_[1392] + vX_[6092] * vX_[1627] + vX_[6077] * vX_[1578] + vX_[6094] * vX_[1635] +
+ vX_[6063] * vX_[1409] + vX_[6079] * vX_[1583] + vX_[6058] * vX_[1425] + vX_[6083] * vX_[1600] +
+ vX_[6076] * vX_[275] + vX_[6095] * vX_[1643] + vX_[6065] * vX_[1418] + vX_[4877] * vX_[1590] +
+ vX_[6068] * vX_[1427] + vX_[3619] * vX_[1393] + vX_[6071] * vX_[1439] + vX_[6085] * vX_[1445] +
+ vX_[6081] * vX_[1558] + vX_[6096] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[6047] * vX_[2049] + vX_[6048] * vX_[1430] + vX_[6044] * vX_[1605] + vX_[6053] * vX_[2051] +
+ vX_[7502] * vX_[327] + vX_[5847] * vX_[326] + vX_[6037] * -0.466187537174287 +
+ vX_[7470] * 0.00185880198235362 + vX_[6036] * vX_[292] + vX_[6030] * vX_[296] + vX_[5838] * vX_[306] +
+ vX_[3652] * vX_[278] + vX_[5813] * vX_[305] + vX_[6161] * vX_[281] +
+ (vX_[5838] * vX_[277] + vX_[5813] * vX_[279]) * -8.81e-05 +
+ (vX_[3652] * vX_[277] + vX_[6161] * vX_[280]) * 8.81e-05 + vX_[3205] * vX_[295] + vX_[6231] * vX_[291] +
+ vX_[1375] * vX_[338] + vX_[5841] * vX_[284] + vX_[5414] * vX_[287] + vX_[7487] * vX_[337] +
+ vX_[6041] * vX_[286] + vX_[5841] * vX_[283] + vX_[5839] * vX_[334] + vX_[5855] * vX_[336] +
+ (vX_[7471] * vX_[294] + vX_[6034] * vX_[289] + vX_[5808] * vX_[290] + (0 - vX_[5845]) * 0.414812462825713 +
+ (0 - (vX_[3205] * vX_[279] + vX_[6231] * vX_[277]) + vX_[6039] + vX_[5808] * vX_[285]) * 0.881 +
+ (0 - vX_[6054]) * 0.00185880198235362 +
+ (0 - (vX_[6041] * vX_[277] + vX_[5841] * vX_[280] +
+ (vX_[5841] * vX_[279] + vX_[5414] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[7471] * 0.0004405 + vX_[5808] * -0.2209548) *
+ -0.35 +
+ vX_[5617] * vX_[1460] + vX_[4873] * vX_[1116] + vX_[5421] * vX_[1547] + vX_[3651] * vX_[1616] +
+ (vX_[6055] * vX_[2049] + vX_[5617] * vX_[1109]) * 0.35 + vX_[6091] * vX_[1627] + vX_[6059] * vX_[1398] +
+ vX_[6094] * vX_[1638] + vX_[6063] * vX_[1412] + vX_[2192] * vX_[1585] + vX_[6067] * vX_[1427] +
+ vX_[3635] * vX_[1393] + vX_[6070] * vX_[303] + vX_[6095] * vX_[1646] + vX_[6065] * vX_[1421] +
+ vX_[6080] * vX_[1589] + vX_[6045] * vX_[1425] + vX_[6084] * vX_[1602] + vX_[6653] * vX_[275] +
+ vX_[4833] * vX_[1447] + vX_[6081] * vX_[1594] + vX_[4411] * vX_[1434] + vX_[3724] * vX_[1496] +
+ vX_[6214] * vX_[1513] + vX_[6062] * vX_[1534] + vX_[3617] * vX_[1522] + vX_[6384] * vX_[1527] +
+ vX_[3610] * vX_[1487] + vX_[3608] * vX_[1475] + vX_[4017] * vX_[1479] + vX_[6357] * vX_[1507] +
+ vX_[5816] * vX_[1510] + vX_[6220] * vX_[1567] + vX_[8062] * vX_[1513] + vX_[6191] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[3613] * vX_[1494] + vX_[6214] * vX_[1515] + vX_[5851] * vX_[1489] + vX_[6062] * vX_[1532] +
+ vX_[3617] * vX_[1524] + vX_[6384] * vX_[1528] + vX_[3605] * vX_[1485] + vX_[3600] * vX_[1472] +
+ vX_[4017] * vX_[1481] + vX_[4381] * vX_[1506] + vX_[3640] * vX_[1509] + vX_[4031] * vX_[1565] +
+ vX_[8062] * vX_[1558] + vX_[6097] * vX_[1433]) *
+ vX_[1383];
+ vX_[6466] = vX_[6790] + vX_[3217] * vX_[304] + vX_[6466] * vX_[317] + vX_[6476] * vX_[995];
+ vX_[6463] = vX_[6790] + vX_[6671] * vX_[276] + vX_[6463] * vX_[321] + vX_[6477] * vX_[1031];
+ vX_[6790] = vX_[6466] - vX_[6463];
+ vX_[6459] = vX_[3217] * vX_[276] + vX_[6671] * vX_[304] + vX_[6468] * vX_[321] + vX_[6459] * vX_[317] +
+ vX_[6476] * vX_[1031] + vX_[6477] * vX_[995];
+ vX_[6468] = vX_[6790] * vX_[277] + vX_[6459] * vX_[280];
+ vX_[6671] = vX_[6790] * vX_[279] + vX_[6459] * vX_[277];
+ vX_[6466] = 0 - vX_[6466];
+ vX_[3217] = 0 - vX_[6459];
+ vX_[6268] = vX_[6284] * vX_[304] + vX_[6789] * vX_[276] + vX_[6268] * vX_[317] + vX_[6476] * vX_[1144] +
+ vX_[6473] * vX_[995];
+ vX_[6041] = 0 - vX_[6268];
+ vX_[3233] = vX_[6284] * vX_[276] + vX_[6789] * vX_[303] + vX_[3233] * vX_[317] + vX_[6476] * vX_[1032] +
+ vX_[6482] * vX_[995];
+ vX_[6284] = 0 - vX_[3233];
+ vX_[6789] =
+ (vX_[6466] * vX_[311] + vX_[3217] * vX_[298] + vX_[6041] * vX_[307] + vX_[6284] * vX_[288]) * 1 / vX_[300];
+ vX_[6466] = vX_[6271] * vX_[1376] + vX_[6478] * vX_[1631] + vX_[6466] * vX_[312] + vX_[6789];
+ vX_[6277] = vX_[4435] * vX_[304] + vX_[6275] * vX_[276] + vX_[6277] * vX_[321] + vX_[6477] * vX_[1144] +
+ vX_[6473] * vX_[1031];
+ vX_[6463] = 0 - vX_[6463];
+ vX_[6271] = 0 - vX_[6277];
+ vX_[3213] = vX_[4435] * vX_[276] + vX_[6275] * vX_[303] + vX_[3213] * vX_[321] + vX_[6477] * vX_[1032] +
+ vX_[6482] * vX_[1031];
+ vX_[4435] = 0 - vX_[3213];
+ vX_[6275] = (vX_[6463] * vX_[298] + vX_[6271] * vX_[307] + vX_[4435] * vX_[288]) * 1 / vX_[300];
+ vX_[6463] = vX_[6273] * vX_[4420] + vX_[6479] * vX_[1631] + vX_[3217] * vX_[312] + vX_[6463] * vX_[301] + vX_[6275];
+ vX_[7363] = vX_[6465] + vX_[7024] * vX_[317] + vX_[7363] * vX_[321] * 2. + vX_[6472] * vX_[1032] - vX_[6463];
+ vX_[6465] = vX_[5530] + vX_[6473] * vX_[1144];
+ vX_[6470] = vX_[6470] + vX_[6482] * vX_[1032];
+ vX_[3217] = vX_[6465] - vX_[6470];
+ vX_[6273] = 0 - vX_[6465];
+ vX_[7024] = vX_[7024] + vX_[6473] * vX_[1032] + vX_[6482] * vX_[1144];
+ vX_[7471] = 0 - vX_[7024];
+ vX_[6231] = (vX_[6273] * vX_[307] + vX_[7471] * vX_[288]) * 1 / vX_[300];
+ vX_[6273] = vX_[6263] * vX_[5843] + vX_[6481] * vX_[1631] + vX_[6041] * vX_[312] + vX_[6271] * vX_[301] +
+ vX_[6273] * vX_[344] + vX_[6231];
+ vX_[6271] = 0 - vX_[6470];
+ vX_[6041] = vX_[6271] * vX_[288] * 1 / vX_[300];
+ vX_[6271] = vX_[6265] * vX_[3653] + vX_[6483] * vX_[1631] + vX_[6284] * vX_[312] + vX_[4435] * vX_[301] +
+ vX_[7471] * vX_[344] + vX_[6271] * vX_[340] + vX_[6041];
+ vX_[7471] = 0 - vX_[6271];
+ vX_[4435] = vX_[3217] * vX_[277] + vX_[7024] * vX_[280];
+ vX_[6284] = vX_[3217] * vX_[279] + vX_[7024] * vX_[277];
+ vX_[3653] = vX_[4415] + vX_[5835];
+ vX_[6265] = vX_[6470] + vX_[4435] * vX_[277];
+ vX_[5843] = vX_[6470] + vX_[6284] * vX_[279];
+ vX_[6041] = vX_[6465] + vX_[6470] + 0 - vX_[6262] * vX_[5835] + vX_[6278] * vX_[4415] - vX_[6478] * vX_[920] -
+ vX_[6479] * vX_[924] - vX_[6480] * vX_[1154] + vX_[6480] * vX_[1631] - vX_[6481] * vX_[1232] -
+ vX_[6483] * vX_[1440] - vX_[6789] * vX_[312] - vX_[6275] * vX_[301] - vX_[6231] * vX_[344] -
+ vX_[6041] * vX_[340] - vX_[6265] - vX_[5843];
+ vX_[6231] = 0 - vX_[5843];
+ vX_[6470] = vX_[6466] * vX_[277] + vX_[6463] * vX_[280];
+ vX_[6465] = 0 - vX_[6041];
+ vX_[6275] = vX_[6470] + vX_[6465] * vX_[285];
+ vX_[6789] = vX_[6466] * vX_[279] + vX_[6463] * vX_[277];
+ vX_[5835] = vX_[6789] + vX_[6041] * vX_[282];
+ vX_[5809] = 0 - (vX_[3220] + vX_[5809] * vX_[321] + vX_[5530] * vX_[317] * 2. + vX_[6472] * vX_[1144]) + vX_[6466];
+ vX_[3220] = vX_[4435] * vX_[279] + vX_[6284] * vX_[277];
+ vX_[5530] = 0 - vX_[6271];
+ jac[425] =
+ (0.0168251785646079 * vX_[1376] + vX_[6476] * vX_[1430] + vX_[6473] * vX_[2051] + vX_[6790] * vX_[326] +
+ vX_[6468] * 0.00185880198235362 + vX_[6671] * -7.4114911576828e-06 + vX_[6466] * vX_[296] +
+ vX_[3233] * vX_[281] + vX_[6268] * vX_[306] + (vX_[6277] * vX_[280] + vX_[6268] * vX_[277]) * 8.81e-05 +
+ vX_[7363] * vX_[291] + vX_[3217] * vX_[337] + vX_[6273] * vX_[287] + vX_[7471] * vX_[283] +
+ vX_[4435] * vX_[336] + vX_[6284] * vX_[335] + vX_[4452] * vX_[1460] + vX_[3204] * vX_[1547] -
+ (-4.21975478400367 * vX_[4420] + vX_[6477] * vX_[2049] + vX_[6046] * vX_[1116]) +
+ (0.0168251785646079 * vX_[3653] + vX_[6484] * vX_[1430] + vX_[6041] * vX_[293] + vX_[6231] * vX_[294] +
+ vX_[6275] * 0.00185880198235362 + vX_[5835] * 0.880992588508842 +
+ (0 - (vX_[7363] * vX_[277] + vX_[5809] * vX_[280] + vX_[6789] + vX_[3220] * vX_[285] +
+ vX_[6231] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[7471] * vX_[279] + vX_[6273] * vX_[277]) +
+ (vX_[6273] * vX_[277] + vX_[6271] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[3220]) * -0.1104774 + (0 - vX_[5843]) * 0.000881 + vX_[4452] * vX_[1109]) *
+ 0.35 -
+ (vX_[6482] * vX_[1605] + vX_[6459] * vX_[327] + vX_[6463] * vX_[292] + vX_[6277] * vX_[305] +
+ vX_[3213] * vX_[278] + (vX_[3233] * vX_[279] + vX_[3213] * vX_[277]) * -8.81e-05 +
+ vX_[5809] * vX_[295] + vX_[6271] * vX_[284] + vX_[7024] * vX_[338] + vX_[6273] * vX_[286] +
+ vX_[5850] * vX_[1616]) +
+ vX_[6486] * vX_[1392] + vX_[6521] * vX_[1627] + vX_[6506] * vX_[1578] + vX_[6523] * vX_[1635] +
+ vX_[6492] * vX_[1409] + vX_[6508] * vX_[1583] + vX_[6487] * vX_[1425] + vX_[6512] * vX_[1600] +
+ vX_[6505] * vX_[275] + vX_[6524] * vX_[1643] + vX_[6494] * vX_[1418] + vX_[4430] * vX_[1590] +
+ vX_[6497] * vX_[1427] + vX_[2761] * vX_[1393] + vX_[6500] * vX_[1439] + vX_[6514] * vX_[1445] +
+ vX_[6510] * vX_[1558] + vX_[6525] * vX_[1433]) *
+ vX_[1368] -
+ (-4.21975478400367 * vX_[1376] + 0.0168251785646079 * vX_[4420] + vX_[6476] * vX_[2049] +
+ vX_[6477] * vX_[1430] + vX_[6473] * vX_[1605] + vX_[6482] * vX_[2051] + vX_[6790] * vX_[327] +
+ vX_[6459] * vX_[326] + vX_[6468] * -0.466187537174287 + vX_[6671] * 0.00185880198235362 +
+ vX_[6466] * vX_[292] + vX_[6463] * vX_[296] + vX_[6277] * vX_[306] + vX_[3233] * vX_[278] +
+ vX_[6268] * vX_[305] + vX_[3213] * vX_[281] + (vX_[6277] * vX_[277] + vX_[6268] * vX_[279]) * -8.81e-05 +
+ (vX_[3233] * vX_[277] + vX_[3213] * vX_[280]) * 8.81e-05 + vX_[7363] * vX_[295] + vX_[5809] * vX_[291] +
+ vX_[3217] * vX_[338] + vX_[6273] * vX_[284] + vX_[6271] * vX_[287] + vX_[7024] * vX_[337] +
+ vX_[5530] * vX_[286] + vX_[6273] * vX_[283] + vX_[4435] * vX_[334] + vX_[6284] * vX_[336] +
+ (vX_[3220] * vX_[294] + vX_[6465] * vX_[289] + vX_[6265] * vX_[290] + (0 - vX_[6275]) * 0.414812462825713 +
+ (0 - (vX_[7363] * vX_[279] + vX_[5809] * vX_[277]) + vX_[6470] + vX_[6265] * vX_[285]) * 0.881 +
+ (0 - vX_[5835]) * 0.00185880198235362 +
+ (0 - (vX_[5530] * vX_[277] + vX_[6273] * vX_[280] +
+ (vX_[6273] * vX_[279] + vX_[6271] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[3220] * 0.0004405 + vX_[6265] * -0.2209548) *
+ -0.35 +
+ vX_[6046] * vX_[1460] + vX_[4452] * vX_[1116] + vX_[5850] * vX_[1547] + vX_[3204] * vX_[1616] +
+ (-4.21975478400367 * vX_[3653] + vX_[6484] * vX_[2049] + vX_[6046] * vX_[1109]) * 0.35 +
+ vX_[6520] * vX_[1627] + vX_[6488] * vX_[1398] + vX_[6523] * vX_[1638] + vX_[6492] * vX_[1412] +
+ vX_[4515] * vX_[1585] + vX_[6496] * vX_[1427] + vX_[8063] * vX_[1393] + vX_[6499] * vX_[303] +
+ vX_[6524] * vX_[1646] + vX_[6494] * vX_[1421] + vX_[6509] * vX_[1589] + vX_[6474] * vX_[1425] +
+ vX_[6513] * vX_[1602] + vX_[3229] * vX_[275] + vX_[4546] * vX_[1447] + vX_[6510] * vX_[1594] +
+ vX_[6864] * vX_[1434] + vX_[3202] * vX_[1496] + vX_[8317] * vX_[1513] + vX_[6491] * vX_[1534] +
+ vX_[8334] * vX_[1522] + vX_[7897] * vX_[1527] + vX_[7944] * vX_[1487] + vX_[8379] * vX_[1475] +
+ vX_[7453] * vX_[1479] + vX_[6280] * vX_[1507] + vX_[7435] * vX_[1510] + vX_[6649] * vX_[1567] +
+ vX_[2758] * vX_[1513] + vX_[6684] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[3193] * vX_[1494] + vX_[8317] * vX_[1515] + vX_[3235] * vX_[1489] + vX_[6491] * vX_[1532] +
+ vX_[8334] * vX_[1524] + vX_[7897] * vX_[1528] + vX_[8308] * vX_[1485] + vX_[844] * vX_[1472] +
+ vX_[7453] * vX_[1481] + vX_[6279] * vX_[1506] + vX_[7064] * vX_[1509] + vX_[7098] * vX_[1565] +
+ vX_[2758] * vX_[1558] + vX_[6526] * vX_[1433]) *
+ vX_[1383];
+ vX_[6884] = vX_[2802] + vX_[1573] * vX_[304] + vX_[6884] * vX_[317] + vX_[6895] * vX_[995];
+ vX_[6878] = vX_[2802] + vX_[2788] * vX_[276] + vX_[6878] * vX_[321] + vX_[6896] * vX_[1031];
+ vX_[2802] = vX_[6884] - vX_[6878];
+ vX_[2771] = vX_[1573] * vX_[276] + vX_[2788] * vX_[304] + vX_[6885] * vX_[321] + vX_[2771] * vX_[317] +
+ vX_[6895] * vX_[1031] + vX_[6896] * vX_[995];
+ vX_[6885] = vX_[2802] * vX_[277] + vX_[2771] * vX_[280];
+ vX_[2788] = vX_[2802] * vX_[279] + vX_[2771] * vX_[277];
+ vX_[6884] = 0 - vX_[6884];
+ vX_[1573] = 0 - vX_[2771];
+ vX_[2130] = vX_[6850] * vX_[304] + vX_[2786] * vX_[276] + vX_[2130] * vX_[317] + vX_[6895] * vX_[1144] +
+ vX_[6892] * vX_[995];
+ vX_[5530] = 0 - vX_[2130];
+ vX_[2132] = vX_[6850] * vX_[276] + vX_[2786] * vX_[303] + vX_[2132] * vX_[317] + vX_[6895] * vX_[1032] +
+ vX_[6901] * vX_[995];
+ vX_[6850] = 0 - vX_[2132];
+ vX_[2786] =
+ (vX_[6884] * vX_[311] + vX_[1573] * vX_[298] + vX_[5530] * vX_[307] + vX_[6850] * vX_[288]) * 1 / vX_[300];
+ vX_[6884] = vX_[6897] * vX_[1631] + vX_[6884] * vX_[312] + vX_[2786];
+ vX_[2773] = vX_[2361] * vX_[304] + vX_[8283] * vX_[276] + vX_[2773] * vX_[321] + vX_[6896] * vX_[1144] +
+ vX_[6892] * vX_[1031];
+ vX_[6878] = 0 - vX_[6878];
+ vX_[3220] = 0 - vX_[2773];
+ vX_[3215] = vX_[2361] * vX_[276] + vX_[8283] * vX_[303] + vX_[3215] * vX_[321] + vX_[6896] * vX_[1032] +
+ vX_[6901] * vX_[1031];
+ vX_[2361] = 0 - vX_[3215];
+ vX_[8283] = (vX_[6878] * vX_[298] + vX_[3220] * vX_[307] + vX_[2361] * vX_[288]) * 1 / vX_[300];
+ vX_[6878] = vX_[6898] * vX_[1631] + vX_[1573] * vX_[312] + vX_[6878] * vX_[301] + vX_[8283];
+ vX_[2790] = vX_[6882] + vX_[2776] * vX_[317] + vX_[2790] * vX_[321] * 2. + vX_[6891] * vX_[1032] - vX_[6878];
+ vX_[6882] = vX_[6889] + vX_[6892] * vX_[1144];
+ vX_[6887] = vX_[6887] + vX_[6901] * vX_[1032];
+ vX_[1573] = vX_[6882] - vX_[6887];
+ vX_[5809] = 0 - vX_[6882];
+ vX_[2776] = vX_[2776] + vX_[6892] * vX_[1032] + vX_[6901] * vX_[1144];
+ vX_[5835] = 0 - vX_[2776];
+ vX_[6789] = (vX_[5809] * vX_[307] + vX_[5835] * vX_[288]) * 1 / vX_[300];
+ vX_[5809] = vX_[6900] * vX_[1631] + vX_[5530] * vX_[312] + vX_[3220] * vX_[301] + vX_[5809] * vX_[344] + vX_[6789];
+ vX_[3220] = 0 - vX_[6887];
+ vX_[5530] = vX_[3220] * vX_[288] * 1 / vX_[300];
+ vX_[3220] = vX_[6902] * vX_[1631] + vX_[6850] * vX_[312] + vX_[2361] * vX_[301] + vX_[5835] * vX_[344] +
+ vX_[3220] * vX_[340] + vX_[5530];
+ vX_[5835] = 0 - vX_[3220];
+ vX_[2361] = vX_[1573] * vX_[277] + vX_[2776] * vX_[280];
+ vX_[6850] = vX_[1573] * vX_[279] + vX_[2776] * vX_[277];
+ vX_[6275] = vX_[6887] + vX_[2361] * vX_[277];
+ vX_[6465] = vX_[6887] + vX_[6850] * vX_[279];
+ vX_[5530] = vX_[6882] + vX_[6887] + 0 - vX_[6897] * vX_[920] - vX_[6898] * vX_[924] - vX_[6899] * vX_[1154] +
+ vX_[6899] * vX_[1631] - vX_[6900] * vX_[1232] - vX_[6902] * vX_[1440] - vX_[2786] * vX_[312] -
+ vX_[8283] * vX_[301] - vX_[6789] * vX_[344] - vX_[5530] * vX_[340] - vX_[6275] - vX_[6465];
+ vX_[6789] = 0 - vX_[6465];
+ vX_[6887] = vX_[6884] * vX_[277] + vX_[6878] * vX_[280];
+ vX_[6882] = 0 - vX_[5530];
+ vX_[8283] = vX_[6887] + vX_[6882] * vX_[285];
+ vX_[2786] = vX_[6884] * vX_[279] + vX_[6878] * vX_[277];
+ vX_[6902] = vX_[2786] + vX_[5530] * vX_[282];
+ vX_[3665] = 0 - (vX_[2791] + vX_[3665] * vX_[321] + vX_[6889] * vX_[317] * 2. + vX_[6891] * vX_[1144]) + vX_[6884];
+ vX_[2791] = vX_[2361] * vX_[279] + vX_[6850] * vX_[277];
+ vX_[6889] = 0 - vX_[3220];
+ jac[426] =
+ (vX_[6895] * vX_[1430] + vX_[6892] * vX_[2051] + vX_[2802] * vX_[326] + vX_[6885] * 0.00185880198235362 +
+ vX_[2788] * -7.4114911576828e-06 + vX_[6884] * vX_[296] + vX_[2132] * vX_[281] + vX_[2130] * vX_[306] +
+ (vX_[2773] * vX_[280] + vX_[2130] * vX_[277]) * 8.81e-05 + vX_[2790] * vX_[291] + vX_[1573] * vX_[337] +
+ vX_[5809] * vX_[287] + vX_[5835] * vX_[283] + vX_[2361] * vX_[336] + vX_[6850] * vX_[335] +
+ vX_[3363] * vX_[1460] + vX_[8921] * vX_[1547] - (vX_[6896] * vX_[2049] + vX_[6475] * vX_[1116]) +
+ (vX_[6903] * vX_[1430] + vX_[5530] * vX_[293] + vX_[6789] * vX_[294] + vX_[8283] * 0.00185880198235362 +
+ vX_[6902] * 0.880992588508842 +
+ (0 - (vX_[2790] * vX_[277] + vX_[3665] * vX_[280] + vX_[2786] + vX_[2791] * vX_[285] +
+ vX_[6789] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[5835] * vX_[279] + vX_[5809] * vX_[277]) +
+ (vX_[5809] * vX_[277] + vX_[3220] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[2791]) * -0.1104774 + (0 - vX_[6465]) * 0.000881 + vX_[3363] * vX_[1109]) *
+ 0.35 -
+ (vX_[6901] * vX_[1605] + vX_[2771] * vX_[327] + vX_[6878] * vX_[292] + vX_[2773] * vX_[305] +
+ vX_[3215] * vX_[278] + (vX_[2132] * vX_[279] + vX_[3215] * vX_[277]) * -8.81e-05 +
+ vX_[3665] * vX_[295] + vX_[3220] * vX_[284] + vX_[2776] * vX_[338] + vX_[5809] * vX_[286] +
+ vX_[6261] * vX_[1616]) +
+ vX_[6905] * vX_[1392] + vX_[6940] * vX_[1627] + vX_[6925] * vX_[1578] + vX_[6942] * vX_[1635] +
+ vX_[6911] * vX_[1409] + vX_[6927] * vX_[1583] + vX_[6906] * vX_[1425] + vX_[6931] * vX_[1600] +
+ vX_[6924] * vX_[275] + vX_[6943] * vX_[1643] + vX_[6913] * vX_[1418] + vX_[3594] * vX_[1590] +
+ vX_[6916] * vX_[1427] + vX_[8478] * vX_[1393] + vX_[6919] * vX_[1439] + vX_[6933] * vX_[1445] +
+ vX_[6929] * vX_[1558] + vX_[6944] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[6895] * vX_[2049] + vX_[6896] * vX_[1430] + vX_[6892] * vX_[1605] + vX_[6901] * vX_[2051] +
+ vX_[2802] * vX_[327] + vX_[2771] * vX_[326] + vX_[6885] * -0.466187537174287 +
+ vX_[2788] * 0.00185880198235362 + vX_[6884] * vX_[292] + vX_[6878] * vX_[296] + vX_[2773] * vX_[306] +
+ vX_[2132] * vX_[278] + vX_[2130] * vX_[305] + vX_[3215] * vX_[281] +
+ (vX_[2773] * vX_[277] + vX_[2130] * vX_[279]) * -8.81e-05 +
+ (vX_[2132] * vX_[277] + vX_[3215] * vX_[280]) * 8.81e-05 + vX_[2790] * vX_[295] + vX_[3665] * vX_[291] +
+ vX_[1573] * vX_[338] + vX_[5809] * vX_[284] + vX_[3220] * vX_[287] + vX_[2776] * vX_[337] +
+ vX_[6889] * vX_[286] + vX_[5809] * vX_[283] + vX_[2361] * vX_[334] + vX_[6850] * vX_[336] +
+ (vX_[2791] * vX_[294] + vX_[6882] * vX_[289] + vX_[6275] * vX_[290] + (0 - vX_[8283]) * 0.414812462825713 +
+ (0 - (vX_[2790] * vX_[279] + vX_[3665] * vX_[277]) + vX_[6887] + vX_[6275] * vX_[285]) * 0.881 +
+ (0 - vX_[6902]) * 0.00185880198235362 +
+ (0 - (vX_[6889] * vX_[277] + vX_[5809] * vX_[280] +
+ (vX_[5809] * vX_[279] + vX_[3220] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[2791] * 0.0004405 + vX_[6275] * -0.2209548) *
+ -0.35 +
+ vX_[6475] * vX_[1460] + vX_[3363] * vX_[1116] + vX_[6261] * vX_[1547] + vX_[8921] * vX_[1616] +
+ (vX_[6903] * vX_[2049] + vX_[6475] * vX_[1109]) * 0.35 + vX_[6939] * vX_[1627] + vX_[6907] * vX_[1398] +
+ vX_[6942] * vX_[1638] + vX_[6911] * vX_[1412] + vX_[3593] * vX_[1585] + vX_[6915] * vX_[1427] +
+ vX_[8724] * vX_[1393] + vX_[6918] * vX_[303] + vX_[6943] * vX_[1646] + vX_[6913] * vX_[1421] +
+ vX_[6928] * vX_[1589] + vX_[6893] * vX_[1425] + vX_[6932] * vX_[1602] + vX_[3230] * vX_[275] +
+ vX_[4002] * vX_[1447] + vX_[6929] * vX_[1594] + vX_[6498] * vX_[1434] + vX_[3019] * vX_[1496] +
+ vX_[8742] * vX_[1513] + vX_[6910] * vX_[1534] + vX_[2793] * vX_[1522] + vX_[2406] * vX_[1527] +
+ vX_[8551] * vX_[1487] + vX_[1945] * vX_[1475] + vX_[7735] * vX_[1479] + vX_[3318] * vX_[1507] +
+ vX_[8300] * vX_[1510] + vX_[7068] * vX_[1567] + vX_[1712] * vX_[1513] + vX_[3246] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[2129] * vX_[1494] + vX_[8742] * vX_[1515] + vX_[2814] * vX_[1489] + vX_[6910] * vX_[1532] +
+ vX_[2793] * vX_[1524] + vX_[2406] * vX_[1528] + vX_[2417] * vX_[1485] + vX_[2491] * vX_[1472] +
+ vX_[7735] * vX_[1481] + vX_[2803] * vX_[1506] + vX_[2419] * vX_[1509] + vX_[7803] * vX_[1565] +
+ vX_[1712] * vX_[1558] + vX_[6945] * vX_[1433]) *
+ vX_[1383];
+ vX_[7311] = vX_[1676] + vX_[1915] * vX_[304] + vX_[7311] * vX_[317] + vX_[7322] * vX_[995];
+ vX_[7305] = vX_[1676] + vX_[1681] * vX_[276] + vX_[7305] * vX_[321] + vX_[7323] * vX_[1031];
+ vX_[1676] = vX_[7311] - vX_[7305];
+ vX_[1965] = vX_[1915] * vX_[276] + vX_[1681] * vX_[304] + vX_[7312] * vX_[321] + vX_[1965] * vX_[317] +
+ vX_[7322] * vX_[1031] + vX_[7323] * vX_[995];
+ vX_[7312] = vX_[1676] * vX_[277] + vX_[1965] * vX_[280];
+ vX_[1681] = vX_[1676] * vX_[279] + vX_[1965] * vX_[277];
+ vX_[7311] = 0 - vX_[7311];
+ vX_[1915] = 0 - vX_[1965];
+ vX_[3091] = vX_[7277] * vX_[304] + vX_[3672] * vX_[276] + vX_[3091] * vX_[317] + vX_[7322] * vX_[1144] +
+ vX_[7319] * vX_[995];
+ vX_[6889] = 0 - vX_[3091];
+ vX_[1700] = vX_[7277] * vX_[276] + vX_[3672] * vX_[303] + vX_[1700] * vX_[317] + vX_[7322] * vX_[1032] +
+ vX_[7328] * vX_[995];
+ vX_[7277] = 0 - vX_[1700];
+ vX_[3672] =
+ (vX_[7311] * vX_[311] + vX_[1915] * vX_[298] + vX_[6889] * vX_[307] + vX_[7277] * vX_[288]) * 1 / vX_[300];
+ vX_[7311] = vX_[7324] * vX_[1631] + vX_[7311] * vX_[312] + vX_[3672];
+ vX_[1750] = vX_[3264] * vX_[304] + vX_[8860] * vX_[276] + vX_[1750] * vX_[321] + vX_[7323] * vX_[1144] +
+ vX_[7319] * vX_[1031];
+ vX_[7305] = 0 - vX_[7305];
+ vX_[2791] = 0 - vX_[1750];
+ vX_[950] = vX_[3264] * vX_[276] + vX_[8860] * vX_[303] + vX_[950] * vX_[321] + vX_[7323] * vX_[1032] +
+ vX_[7328] * vX_[1031];
+ vX_[3264] = 0 - vX_[950];
+ vX_[8860] = (vX_[7305] * vX_[298] + vX_[2791] * vX_[307] + vX_[3264] * vX_[288]) * 1 / vX_[300];
+ vX_[7305] = vX_[7325] * vX_[1631] + vX_[1915] * vX_[312] + vX_[7305] * vX_[301] + vX_[8860];
+ vX_[3738] = vX_[7309] + vX_[1669] * vX_[317] + vX_[3738] * vX_[321] * 2. + vX_[7318] * vX_[1032] - vX_[7305];
+ vX_[7309] = vX_[7316] + vX_[7319] * vX_[1144];
+ vX_[7314] = vX_[7314] + vX_[7328] * vX_[1032];
+ vX_[1915] = vX_[7309] - vX_[7314];
+ vX_[3665] = 0 - vX_[7309];
+ vX_[1669] = vX_[1669] + vX_[7319] * vX_[1032] + vX_[7328] * vX_[1144];
+ vX_[6902] = 0 - vX_[1669];
+ vX_[2786] = (vX_[3665] * vX_[307] + vX_[6902] * vX_[288]) * 1 / vX_[300];
+ vX_[3665] = vX_[7327] * vX_[1631] + vX_[6889] * vX_[312] + vX_[2791] * vX_[301] + vX_[3665] * vX_[344] + vX_[2786];
+ vX_[2791] = 0 - vX_[7314];
+ vX_[6889] = vX_[2791] * vX_[288] * 1 / vX_[300];
+ vX_[2791] = vX_[7329] * vX_[1631] + vX_[7277] * vX_[312] + vX_[3264] * vX_[301] + vX_[6902] * vX_[344] +
+ vX_[2791] * vX_[340] + vX_[6889];
+ vX_[6902] = 0 - vX_[2791];
+ vX_[3264] = vX_[1915] * vX_[277] + vX_[1669] * vX_[280];
+ vX_[7277] = vX_[1915] * vX_[279] + vX_[1669] * vX_[277];
+ vX_[8283] = vX_[7314] + vX_[3264] * vX_[277];
+ vX_[6882] = vX_[7314] + vX_[7277] * vX_[279];
+ vX_[6889] = vX_[7309] + vX_[7314] + 0 - vX_[7324] * vX_[920] - vX_[7325] * vX_[924] - vX_[7326] * vX_[1154] +
+ vX_[7326] * vX_[1631] - vX_[7327] * vX_[1232] - vX_[7329] * vX_[1440] - vX_[3672] * vX_[312] -
+ vX_[8860] * vX_[301] - vX_[2786] * vX_[344] - vX_[6889] * vX_[340] - vX_[8283] - vX_[6882];
+ vX_[2786] = 0 - vX_[6882];
+ vX_[7314] = vX_[7311] * vX_[277] + vX_[7305] * vX_[280];
+ vX_[7309] = 0 - vX_[6889];
+ vX_[8860] = vX_[7314] + vX_[7309] * vX_[285];
+ vX_[3672] = vX_[7311] * vX_[279] + vX_[7305] * vX_[277];
+ vX_[7329] = vX_[3672] + vX_[6889] * vX_[282];
+ vX_[3092] = 0 - (vX_[3674] + vX_[3092] * vX_[321] + vX_[7316] * vX_[317] * 2. + vX_[7318] * vX_[1144]) + vX_[7311];
+ vX_[3674] = vX_[3264] * vX_[279] + vX_[7277] * vX_[277];
+ vX_[7316] = 0 - vX_[2791];
+ jac[427] =
+ (vX_[7322] * vX_[1430] + vX_[7319] * vX_[2051] + vX_[1676] * vX_[326] + vX_[7312] * 0.00185880198235362 +
+ vX_[1681] * -7.4114911576828e-06 + vX_[7311] * vX_[296] + vX_[1700] * vX_[281] + vX_[3091] * vX_[306] +
+ (vX_[1750] * vX_[280] + vX_[3091] * vX_[277]) * 8.81e-05 + vX_[3738] * vX_[291] + vX_[1915] * vX_[337] +
+ vX_[3665] * vX_[287] + vX_[6902] * vX_[283] + vX_[3264] * vX_[336] + vX_[7277] * vX_[335] +
+ vX_[3226] * vX_[1460] + vX_[3331] * vX_[1547] - (vX_[7323] * vX_[2049] + vX_[6894] * vX_[1116]) +
+ (vX_[7330] * vX_[1430] + vX_[6889] * vX_[293] + vX_[2786] * vX_[294] + vX_[8860] * 0.00185880198235362 +
+ vX_[7329] * 0.880992588508842 +
+ (0 - (vX_[3738] * vX_[277] + vX_[3092] * vX_[280] + vX_[3672] + vX_[3674] * vX_[285] +
+ vX_[2786] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[6902] * vX_[279] + vX_[3665] * vX_[277]) +
+ (vX_[3665] * vX_[277] + vX_[2791] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[3674]) * -0.1104774 + (0 - vX_[6882]) * 0.000881 + vX_[3226] * vX_[1109]) *
+ 0.35 -
+ (vX_[7328] * vX_[1605] + vX_[1965] * vX_[327] + vX_[7305] * vX_[292] + vX_[1750] * vX_[305] +
+ vX_[950] * vX_[278] + (vX_[1700] * vX_[279] + vX_[950] * vX_[277]) * -8.81e-05 + vX_[3092] * vX_[295] +
+ vX_[2791] * vX_[284] + vX_[1669] * vX_[338] + vX_[3665] * vX_[286] + vX_[2368] * vX_[1616]) +
+ vX_[7332] * vX_[1392] + vX_[7367] * vX_[1627] + vX_[7352] * vX_[1578] + vX_[7369] * vX_[1635] +
+ vX_[7338] * vX_[1409] + vX_[7354] * vX_[1583] + vX_[7333] * vX_[1425] + vX_[7358] * vX_[1600] +
+ vX_[7351] * vX_[275] + vX_[7370] * vX_[1643] + vX_[7340] * vX_[1418] + vX_[6936] * vX_[1590] +
+ vX_[7343] * vX_[1427] + vX_[1691] * vX_[1393] + vX_[7346] * vX_[1439] + vX_[7360] * vX_[1445] +
+ vX_[7356] * vX_[1558] + vX_[7371] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[7322] * vX_[2049] + vX_[7323] * vX_[1430] + vX_[7319] * vX_[1605] + vX_[7328] * vX_[2051] +
+ vX_[1676] * vX_[327] + vX_[1965] * vX_[326] + vX_[7312] * -0.466187537174287 +
+ vX_[1681] * 0.00185880198235362 + vX_[7311] * vX_[292] + vX_[7305] * vX_[296] + vX_[1750] * vX_[306] +
+ vX_[1700] * vX_[278] + vX_[3091] * vX_[305] + vX_[950] * vX_[281] +
+ (vX_[1750] * vX_[277] + vX_[3091] * vX_[279]) * -8.81e-05 +
+ (vX_[1700] * vX_[277] + vX_[950] * vX_[280]) * 8.81e-05 + vX_[3738] * vX_[295] + vX_[3092] * vX_[291] +
+ vX_[1915] * vX_[338] + vX_[3665] * vX_[284] + vX_[2791] * vX_[287] + vX_[1669] * vX_[337] +
+ vX_[7316] * vX_[286] + vX_[3665] * vX_[283] + vX_[3264] * vX_[334] + vX_[7277] * vX_[336] +
+ (vX_[3674] * vX_[294] + vX_[7309] * vX_[289] + vX_[8283] * vX_[290] + (0 - vX_[8860]) * 0.414812462825713 +
+ (0 - (vX_[3738] * vX_[279] + vX_[3092] * vX_[277]) + vX_[7314] + vX_[8283] * vX_[285]) * 0.881 +
+ (0 - vX_[7329]) * 0.00185880198235362 +
+ (0 - (vX_[7316] * vX_[277] + vX_[3665] * vX_[280] +
+ (vX_[3665] * vX_[279] + vX_[2791] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[3674] * 0.0004405 + vX_[8283] * -0.2209548) *
+ -0.35 +
+ vX_[6894] * vX_[1460] + vX_[3226] * vX_[1116] + vX_[2368] * vX_[1547] + vX_[3331] * vX_[1616] +
+ (vX_[7330] * vX_[2049] + vX_[6894] * vX_[1109]) * 0.35 + vX_[7366] * vX_[1627] + vX_[7334] * vX_[1398] +
+ vX_[7369] * vX_[1638] + vX_[7338] * vX_[1412] + vX_[6953] * vX_[1585] + vX_[7342] * vX_[1427] +
+ vX_[3661] * vX_[1393] + vX_[7345] * vX_[303] + vX_[7370] * vX_[1646] + vX_[7340] * vX_[1421] +
+ vX_[7355] * vX_[1589] + vX_[7320] * vX_[1425] + vX_[7359] * vX_[1602] + vX_[2046] * vX_[275] +
+ vX_[7094] * vX_[1447] + vX_[7356] * vX_[1594] + vX_[6917] * vX_[1434] + vX_[996] * vX_[1496] +
+ vX_[1683] * vX_[1513] + vX_[7337] * vX_[1534] + vX_[2388] * vX_[1522] + vX_[1692] * vX_[1527] +
+ vX_[602] * vX_[1487] + vX_[9324] * vX_[1475] + vX_[8802] * vX_[1479] + vX_[2775] * vX_[1507] +
+ vX_[3343] * vX_[1510] + vX_[7495] * vX_[1567] + vX_[509] * vX_[1513] + vX_[2808] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[3302] * vX_[1494] + vX_[1683] * vX_[1515] + vX_[3285] * vX_[1489] + vX_[7337] * vX_[1532] +
+ vX_[2388] * vX_[1524] + vX_[1692] * vX_[1528] + vX_[730] * vX_[1485] + vX_[9342] * vX_[1472] +
+ vX_[8802] * vX_[1481] + vX_[1677] * vX_[1506] + vX_[3643] * vX_[1509] + vX_[1974] * vX_[1565] +
+ vX_[509] * vX_[1558] + vX_[7372] * vX_[1433]) *
+ vX_[1383];
+ vX_[7738] = vX_[9098] + vX_[1953] * vX_[304] + vX_[7738] * vX_[317] + vX_[7749] * vX_[995];
+ vX_[7732] = vX_[9098] + vX_[1305] * vX_[276] + vX_[7732] * vX_[321] + vX_[7750] * vX_[1031];
+ vX_[9098] = vX_[7738] - vX_[7732];
+ vX_[8427] = vX_[1953] * vX_[276] + vX_[1305] * vX_[304] + vX_[7739] * vX_[321] + vX_[8427] * vX_[317] +
+ vX_[7749] * vX_[1031] + vX_[7750] * vX_[995];
+ vX_[7739] = vX_[9098] * vX_[277] + vX_[8427] * vX_[280];
+ vX_[1305] = vX_[9098] * vX_[279] + vX_[8427] * vX_[277];
+ vX_[7738] = 0 - vX_[7738];
+ vX_[1953] = 0 - vX_[8427];
+ vX_[9060] = vX_[7704] * vX_[304] + vX_[559] * vX_[276] + vX_[9060] * vX_[317] + vX_[7749] * vX_[1144] +
+ vX_[7746] * vX_[995];
+ vX_[7316] = 0 - vX_[9060];
+ vX_[1906] = vX_[7704] * vX_[276] + vX_[559] * vX_[303] + vX_[1906] * vX_[317] + vX_[7749] * vX_[1032] +
+ vX_[7755] * vX_[995];
+ vX_[7704] = 0 - vX_[1906];
+ vX_[559] =
+ (vX_[7738] * vX_[311] + vX_[1953] * vX_[298] + vX_[7316] * vX_[307] + vX_[7704] * vX_[288]) * 1 / vX_[300];
+ vX_[7738] = vX_[7751] * vX_[1631] + vX_[7738] * vX_[312] + vX_[559];
+ vX_[1723] = vX_[1950] * vX_[304] + vX_[464] * vX_[276] + vX_[1723] * vX_[321] + vX_[7750] * vX_[1144] +
+ vX_[7746] * vX_[1031];
+ vX_[7732] = 0 - vX_[7732];
+ vX_[3674] = 0 - vX_[1723];
+ vX_[1905] = vX_[1950] * vX_[276] + vX_[464] * vX_[303] + vX_[1905] * vX_[321] + vX_[7750] * vX_[1032] +
+ vX_[7755] * vX_[1031];
+ vX_[1950] = 0 - vX_[1905];
+ vX_[464] = (vX_[7732] * vX_[298] + vX_[3674] * vX_[307] + vX_[1950] * vX_[288]) * 1 / vX_[300];
+ vX_[7732] = vX_[7752] * vX_[1631] + vX_[1953] * vX_[312] + vX_[7732] * vX_[301] + vX_[464];
+ vX_[4114] = vX_[7736] + vX_[9191] * vX_[317] + vX_[4114] * vX_[321] * 2. + vX_[7745] * vX_[1032] - vX_[7732];
+ vX_[7736] = vX_[7743] + vX_[7746] * vX_[1144];
+ vX_[7741] = vX_[7741] + vX_[7755] * vX_[1032];
+ vX_[1953] = vX_[7736] - vX_[7741];
+ vX_[3092] = 0 - vX_[7736];
+ vX_[9191] = vX_[9191] + vX_[7746] * vX_[1032] + vX_[7755] * vX_[1144];
+ vX_[7329] = 0 - vX_[9191];
+ vX_[3672] = (vX_[3092] * vX_[307] + vX_[7329] * vX_[288]) * 1 / vX_[300];
+ vX_[3092] = vX_[7754] * vX_[1631] + vX_[7316] * vX_[312] + vX_[3674] * vX_[301] + vX_[3092] * vX_[344] + vX_[3672];
+ vX_[3674] = 0 - vX_[7741];
+ vX_[7316] = vX_[3674] * vX_[288] * 1 / vX_[300];
+ vX_[3674] = vX_[7756] * vX_[1631] + vX_[7704] * vX_[312] + vX_[1950] * vX_[301] + vX_[7329] * vX_[344] +
+ vX_[3674] * vX_[340] + vX_[7316];
+ vX_[7329] = 0 - vX_[3674];
+ vX_[1950] = vX_[1953] * vX_[277] + vX_[9191] * vX_[280];
+ vX_[7704] = vX_[1953] * vX_[279] + vX_[9191] * vX_[277];
+ vX_[8860] = vX_[7741] + vX_[1950] * vX_[277];
+ vX_[7309] = vX_[7741] + vX_[7704] * vX_[279];
+ vX_[7316] = vX_[7736] + vX_[7741] + 0 - vX_[7751] * vX_[920] - vX_[7752] * vX_[924] - vX_[7753] * vX_[1154] +
+ vX_[7753] * vX_[1631] - vX_[7754] * vX_[1232] - vX_[7756] * vX_[1440] - vX_[559] * vX_[312] -
+ vX_[464] * vX_[301] - vX_[3672] * vX_[344] - vX_[7316] * vX_[340] - vX_[8860] - vX_[7309];
+ vX_[3672] = 0 - vX_[7309];
+ vX_[7741] = vX_[7738] * vX_[277] + vX_[7732] * vX_[280];
+ vX_[7736] = 0 - vX_[7316];
+ vX_[464] = vX_[7741] + vX_[7736] * vX_[285];
+ vX_[559] = vX_[7738] * vX_[279] + vX_[7732] * vX_[277];
+ vX_[7756] = vX_[559] + vX_[7316] * vX_[282];
+ vX_[9063] = 0 - (vX_[9089] + vX_[9063] * vX_[321] + vX_[7743] * vX_[317] * 2. + vX_[7745] * vX_[1144]) + vX_[7738];
+ vX_[9089] = vX_[1950] * vX_[279] + vX_[7704] * vX_[277];
+ vX_[7743] = 0 - vX_[3674];
+ jac[428] =
+ (vX_[7749] * vX_[1430] + vX_[7746] * vX_[2051] + vX_[9098] * vX_[326] + vX_[7739] * 0.00185880198235362 +
+ vX_[1305] * -7.4114911576828e-06 + vX_[7738] * vX_[296] + vX_[1906] * vX_[281] + vX_[9060] * vX_[306] +
+ (vX_[1723] * vX_[280] + vX_[9060] * vX_[277]) * 8.81e-05 + vX_[4114] * vX_[291] + vX_[1953] * vX_[337] +
+ vX_[3092] * vX_[287] + vX_[7329] * vX_[283] + vX_[1950] * vX_[336] + vX_[7704] * vX_[335] +
+ vX_[2768] * vX_[1460] + vX_[1895] * vX_[1547] - (vX_[7750] * vX_[2049] + vX_[7321] * vX_[1116]) +
+ (vX_[7757] * vX_[1430] + vX_[7316] * vX_[293] + vX_[3672] * vX_[294] + vX_[464] * 0.00185880198235362 +
+ vX_[7756] * 0.880992588508842 +
+ (0 - (vX_[4114] * vX_[277] + vX_[9063] * vX_[280] + vX_[559] + vX_[9089] * vX_[285] +
+ vX_[3672] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[7329] * vX_[279] + vX_[3092] * vX_[277]) +
+ (vX_[3092] * vX_[277] + vX_[3674] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[9089]) * -0.1104774 + (0 - vX_[7309]) * 0.000881 + vX_[2768] * vX_[1109]) *
+ 0.35 -
+ (vX_[7755] * vX_[1605] + vX_[8427] * vX_[327] + vX_[7732] * vX_[292] + vX_[1723] * vX_[305] +
+ vX_[1905] * vX_[278] + (vX_[1906] * vX_[279] + vX_[1905] * vX_[277]) * -8.81e-05 +
+ vX_[9063] * vX_[295] + vX_[3674] * vX_[284] + vX_[9191] * vX_[338] + vX_[3092] * vX_[286] +
+ vX_[9377] * vX_[1616]) +
+ vX_[7759] * vX_[1392] + vX_[7794] * vX_[1627] + vX_[7779] * vX_[1578] + vX_[7796] * vX_[1635] +
+ vX_[7765] * vX_[1409] + vX_[7781] * vX_[1583] + vX_[7760] * vX_[1425] + vX_[7785] * vX_[1600] +
+ vX_[7778] * vX_[275] + vX_[7797] * vX_[1643] + vX_[7767] * vX_[1418] + vX_[8135] * vX_[1590] +
+ vX_[7770] * vX_[1427] + vX_[1785] * vX_[1393] + vX_[7773] * vX_[1439] + vX_[7787] * vX_[1445] +
+ vX_[7783] * vX_[1558] + vX_[7798] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[7749] * vX_[2049] + vX_[7750] * vX_[1430] + vX_[7746] * vX_[1605] + vX_[7755] * vX_[2051] +
+ vX_[9098] * vX_[327] + vX_[8427] * vX_[326] + vX_[7739] * -0.466187537174287 +
+ vX_[1305] * 0.00185880198235362 + vX_[7738] * vX_[292] + vX_[7732] * vX_[296] + vX_[1723] * vX_[306] +
+ vX_[1906] * vX_[278] + vX_[9060] * vX_[305] + vX_[1905] * vX_[281] +
+ (vX_[1723] * vX_[277] + vX_[9060] * vX_[279]) * -8.81e-05 +
+ (vX_[1906] * vX_[277] + vX_[1905] * vX_[280]) * 8.81e-05 + vX_[4114] * vX_[295] + vX_[9063] * vX_[291] +
+ vX_[1953] * vX_[338] + vX_[3092] * vX_[284] + vX_[3674] * vX_[287] + vX_[9191] * vX_[337] +
+ vX_[7743] * vX_[286] + vX_[3092] * vX_[283] + vX_[1950] * vX_[334] + vX_[7704] * vX_[336] +
+ (vX_[9089] * vX_[294] + vX_[7736] * vX_[289] + vX_[8860] * vX_[290] + (0 - vX_[464]) * 0.414812462825713 +
+ (0 - (vX_[4114] * vX_[279] + vX_[9063] * vX_[277]) + vX_[7741] + vX_[8860] * vX_[285]) * 0.881 +
+ (0 - vX_[7756]) * 0.00185880198235362 +
+ (0 - (vX_[7743] * vX_[277] + vX_[3092] * vX_[280] +
+ (vX_[3092] * vX_[279] + vX_[3674] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[9089] * 0.0004405 + vX_[8860] * -0.2209548) *
+ -0.35 +
+ vX_[7321] * vX_[1460] + vX_[2768] * vX_[1116] + vX_[9377] * vX_[1547] + vX_[1895] * vX_[1616] +
+ (vX_[7757] * vX_[2049] + vX_[7321] * vX_[1109]) * 0.35 + vX_[7793] * vX_[1627] + vX_[7761] * vX_[1398] +
+ vX_[7796] * vX_[1638] + vX_[7765] * vX_[1412] + vX_[8281] * vX_[1585] + vX_[7769] * vX_[1427] +
+ vX_[1787] * vX_[1393] + vX_[7772] * vX_[303] + vX_[7797] * vX_[1646] + vX_[7767] * vX_[1421] +
+ vX_[7782] * vX_[1589] + vX_[7747] * vX_[1425] + vX_[7786] * vX_[1602] + vX_[3268] * vX_[275] +
+ vX_[7902] * vX_[1447] + vX_[7783] * vX_[1594] + vX_[7344] * vX_[1434] + vX_[1843] * vX_[1496] +
+ vX_[1756] * vX_[1513] + vX_[7764] * vX_[1534] + vX_[9372] * vX_[1522] + vX_[1729] * vX_[1527] +
+ vX_[1726] * vX_[1487] + vX_[1702] * vX_[1475] + vX_[1617] * vX_[1479] + vX_[1670] * vX_[1507] +
+ vX_[46] * vX_[1510] + vX_[7922] * vX_[1567] + vX_[503] * vX_[1513] + vX_[9330] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[1869] * vX_[1494] + vX_[1756] * vX_[1515] + vX_[9201] * vX_[1489] + vX_[7764] * vX_[1532] +
+ vX_[9372] * vX_[1524] + vX_[1729] * vX_[1528] + vX_[1727] * vX_[1485] + vX_[1718] * vX_[1472] +
+ vX_[1617] * vX_[1481] + vX_[1815] * vX_[1506] + vX_[1826] * vX_[1509] + vX_[9097] * vX_[1565] +
+ vX_[503] * vX_[1558] + vX_[7799] * vX_[1433]) *
+ vX_[1383];
+ vX_[8157] = vX_[9182] + vX_[9252] * vX_[304] + vX_[8157] * vX_[317] + vX_[8168] * vX_[995];
+ vX_[8151] = vX_[9182] + vX_[444] * vX_[276] + vX_[8151] * vX_[321] + vX_[8169] * vX_[1031];
+ vX_[9182] = vX_[8157] - vX_[8151];
+ vX_[9344] = vX_[9252] * vX_[276] + vX_[444] * vX_[304] + vX_[8158] * vX_[321] + vX_[9344] * vX_[317] +
+ vX_[8168] * vX_[1031] + vX_[8169] * vX_[995];
+ vX_[8158] = vX_[9182] * vX_[277] + vX_[9344] * vX_[280];
+ vX_[444] = vX_[9182] * vX_[279] + vX_[9344] * vX_[277];
+ vX_[8157] = 0 - vX_[8157];
+ vX_[9252] = 0 - vX_[9344];
+ vX_[9214] = vX_[8123] * vX_[304] + vX_[4133] * vX_[276] + vX_[9214] * vX_[317] + vX_[8168] * vX_[1144] +
+ vX_[8165] * vX_[995];
+ vX_[7743] = 0 - vX_[9214];
+ vX_[9317] = vX_[8123] * vX_[276] + vX_[4133] * vX_[303] + vX_[9317] * vX_[317] + vX_[8168] * vX_[1032] +
+ vX_[8174] * vX_[995];
+ vX_[8123] = 0 - vX_[9317];
+ vX_[4133] =
+ (vX_[8157] * vX_[311] + vX_[9252] * vX_[298] + vX_[7743] * vX_[307] + vX_[8123] * vX_[288]) * 1 / vX_[300];
+ vX_[8157] = vX_[8170] * vX_[1631] + vX_[8157] * vX_[312] + vX_[4133];
+ vX_[9219] = vX_[9190] * vX_[304] + vX_[616] * vX_[276] + vX_[9219] * vX_[321] + vX_[8169] * vX_[1144] +
+ vX_[8165] * vX_[1031];
+ vX_[8151] = 0 - vX_[8151];
+ vX_[9089] = 0 - vX_[9219];
+ vX_[1957] = vX_[9190] * vX_[276] + vX_[616] * vX_[303] + vX_[1957] * vX_[321] + vX_[8169] * vX_[1032] +
+ vX_[8174] * vX_[1031];
+ vX_[9190] = 0 - vX_[1957];
+ vX_[616] = (vX_[8151] * vX_[298] + vX_[9089] * vX_[307] + vX_[9190] * vX_[288]) * 1 / vX_[300];
+ vX_[8151] = vX_[8171] * vX_[1631] + vX_[9252] * vX_[312] + vX_[8151] * vX_[301] + vX_[616];
+ vX_[434] = vX_[8155] + vX_[2024] * vX_[317] + vX_[434] * vX_[321] * 2. + vX_[8164] * vX_[1032] - vX_[8151];
+ vX_[8155] = vX_[8162] + vX_[8165] * vX_[1144];
+ vX_[8160] = vX_[8160] + vX_[8174] * vX_[1032];
+ vX_[9252] = vX_[8155] - vX_[8160];
+ vX_[9063] = 0 - vX_[8155];
+ vX_[2024] = vX_[2024] + vX_[8165] * vX_[1032] + vX_[8174] * vX_[1144];
+ vX_[7756] = 0 - vX_[2024];
+ vX_[559] = (vX_[9063] * vX_[307] + vX_[7756] * vX_[288]) * 1 / vX_[300];
+ vX_[9063] = vX_[8173] * vX_[1631] + vX_[7743] * vX_[312] + vX_[9089] * vX_[301] + vX_[9063] * vX_[344] + vX_[559];
+ vX_[9089] = 0 - vX_[8160];
+ vX_[7743] = vX_[9089] * vX_[288] * 1 / vX_[300];
+ vX_[9089] = vX_[8175] * vX_[1631] + vX_[8123] * vX_[312] + vX_[9190] * vX_[301] + vX_[7756] * vX_[344] +
+ vX_[9089] * vX_[340] + vX_[7743];
+ vX_[7756] = 0 - vX_[9089];
+ vX_[9190] = vX_[9252] * vX_[277] + vX_[2024] * vX_[280];
+ vX_[8123] = vX_[9252] * vX_[279] + vX_[2024] * vX_[277];
+ vX_[464] = vX_[8160] + vX_[9190] * vX_[277];
+ vX_[7736] = vX_[8160] + vX_[8123] * vX_[279];
+ vX_[7743] = vX_[8155] + vX_[8160] + 0 - vX_[8170] * vX_[920] - vX_[8171] * vX_[924] - vX_[8172] * vX_[1154] +
+ vX_[8172] * vX_[1631] - vX_[8173] * vX_[1232] - vX_[8175] * vX_[1440] - vX_[4133] * vX_[312] -
+ vX_[616] * vX_[301] - vX_[559] * vX_[344] - vX_[7743] * vX_[340] - vX_[464] - vX_[7736];
+ vX_[559] = 0 - vX_[7736];
+ vX_[8160] = vX_[8157] * vX_[277] + vX_[8151] * vX_[280];
+ vX_[8155] = 0 - vX_[7743];
+ vX_[616] = vX_[8160] + vX_[8155] * vX_[285];
+ vX_[4133] = vX_[8157] * vX_[279] + vX_[8151] * vX_[277];
+ vX_[8175] = vX_[4133] + vX_[7743] * vX_[282];
+ vX_[9246] = 0 - (vX_[1624] + vX_[9246] * vX_[321] + vX_[8162] * vX_[317] * 2. + vX_[8164] * vX_[1144]) + vX_[8157];
+ vX_[1624] = vX_[9190] * vX_[279] + vX_[8123] * vX_[277];
+ vX_[8162] = 0 - vX_[9089];
+ jac[429] =
+ (vX_[8168] * vX_[1430] + vX_[8165] * vX_[2051] + vX_[9182] * vX_[326] + vX_[8158] * 0.00185880198235362 +
+ vX_[444] * -7.4114911576828e-06 + vX_[8157] * vX_[296] + vX_[9317] * vX_[281] + vX_[9214] * vX_[306] +
+ (vX_[9219] * vX_[280] + vX_[9214] * vX_[277]) * 8.81e-05 + vX_[434] * vX_[291] + vX_[9252] * vX_[337] +
+ vX_[9063] * vX_[287] + vX_[7756] * vX_[283] + vX_[9190] * vX_[336] + vX_[8123] * vX_[335] +
+ vX_[656] * vX_[1460] + vX_[9311] * vX_[1547] - (vX_[8169] * vX_[2049] + vX_[7748] * vX_[1116]) +
+ (vX_[8176] * vX_[1430] + vX_[7743] * vX_[293] + vX_[559] * vX_[294] + vX_[616] * 0.00185880198235362 +
+ vX_[8175] * 0.880992588508842 +
+ (0 - (vX_[434] * vX_[277] + vX_[9246] * vX_[280] + vX_[4133] + vX_[1624] * vX_[285] +
+ vX_[559] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[7756] * vX_[279] + vX_[9063] * vX_[277]) +
+ (vX_[9063] * vX_[277] + vX_[9089] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[1624]) * -0.1104774 + (0 - vX_[7736]) * 0.000881 + vX_[656] * vX_[1109]) *
+ 0.35 -
+ (vX_[8174] * vX_[1605] + vX_[9344] * vX_[327] + vX_[8151] * vX_[292] + vX_[9219] * vX_[305] +
+ vX_[1957] * vX_[278] + (vX_[9317] * vX_[279] + vX_[1957] * vX_[277]) * -8.81e-05 +
+ vX_[9246] * vX_[295] + vX_[9089] * vX_[284] + vX_[2024] * vX_[338] + vX_[9063] * vX_[286] +
+ vX_[437] * vX_[1616]) +
+ vX_[8178] * vX_[1392] + vX_[8213] * vX_[1627] + vX_[8198] * vX_[1578] + vX_[8215] * vX_[1635] +
+ vX_[8184] * vX_[1409] + vX_[8200] * vX_[1583] + vX_[8179] * vX_[1425] + vX_[8204] * vX_[1600] +
+ vX_[8197] * vX_[275] + vX_[8216] * vX_[1643] + vX_[8186] * vX_[1418] + vX_[3411] * vX_[1590] +
+ vX_[8189] * vX_[1427] + vX_[9280] * vX_[1393] + vX_[8192] * vX_[1439] + vX_[8206] * vX_[1445] +
+ vX_[8202] * vX_[1558] + vX_[8217] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[8168] * vX_[2049] + vX_[8169] * vX_[1430] + vX_[8165] * vX_[1605] + vX_[8174] * vX_[2051] +
+ vX_[9182] * vX_[327] + vX_[9344] * vX_[326] + vX_[8158] * -0.466187537174287 +
+ vX_[444] * 0.00185880198235362 + vX_[8157] * vX_[292] + vX_[8151] * vX_[296] + vX_[9219] * vX_[306] +
+ vX_[9317] * vX_[278] + vX_[9214] * vX_[305] + vX_[1957] * vX_[281] +
+ (vX_[9219] * vX_[277] + vX_[9214] * vX_[279]) * -8.81e-05 +
+ (vX_[9317] * vX_[277] + vX_[1957] * vX_[280]) * 8.81e-05 + vX_[434] * vX_[295] + vX_[9246] * vX_[291] +
+ vX_[9252] * vX_[338] + vX_[9063] * vX_[284] + vX_[9089] * vX_[287] + vX_[2024] * vX_[337] +
+ vX_[8162] * vX_[286] + vX_[9063] * vX_[283] + vX_[9190] * vX_[334] + vX_[8123] * vX_[336] +
+ (vX_[1624] * vX_[294] + vX_[8155] * vX_[289] + vX_[464] * vX_[290] + (0 - vX_[616]) * 0.414812462825713 +
+ (0 - (vX_[434] * vX_[279] + vX_[9246] * vX_[277]) + vX_[8160] + vX_[464] * vX_[285]) * 0.881 +
+ (0 - vX_[8175]) * 0.00185880198235362 +
+ (0 - (vX_[8162] * vX_[277] + vX_[9063] * vX_[280] +
+ (vX_[9063] * vX_[279] + vX_[9089] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[1624] * 0.0004405 + vX_[464] * -0.2209548) *
+ -0.35 +
+ vX_[7748] * vX_[1460] + vX_[656] * vX_[1116] + vX_[437] * vX_[1547] + vX_[9311] * vX_[1616] +
+ (vX_[8176] * vX_[2049] + vX_[7748] * vX_[1109]) * 0.35 + vX_[8212] * vX_[1627] + vX_[8180] * vX_[1398] +
+ vX_[8215] * vX_[1638] + vX_[8184] * vX_[1412] + vX_[723] * vX_[1585] + vX_[8188] * vX_[1427] +
+ vX_[9281] * vX_[1393] + vX_[8191] * vX_[303] + vX_[8216] * vX_[1646] + vX_[8186] * vX_[1421] +
+ vX_[8201] * vX_[1589] + vX_[8166] * vX_[1425] + vX_[8205] * vX_[1602] + vX_[1958] * vX_[275] +
+ vX_[3676] * vX_[1447] + vX_[8202] * vX_[1594] + vX_[7771] * vX_[1434] + vX_[9302] * vX_[1496] +
+ vX_[9230] * vX_[1513] + vX_[8183] * vX_[1534] + vX_[478] * vX_[1522] + vX_[9260] * vX_[1527] +
+ vX_[8687] * vX_[1487] + vX_[8696] * vX_[1475] + vX_[462] * vX_[1479] + vX_[9328] * vX_[1507] +
+ vX_[1655] * vX_[1510] + vX_[8341] * vX_[1567] + vX_[8002] * vX_[1513] + vX_[1739] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[9305] * vX_[1494] + vX_[9230] * vX_[1515] + vX_[489] * vX_[1489] + vX_[8183] * vX_[1532] +
+ vX_[478] * vX_[1524] + vX_[9260] * vX_[1528] + vX_[9257] * vX_[1485] + vX_[9274] * vX_[1472] +
+ vX_[462] * vX_[1481] + vX_[470] * vX_[1506] + vX_[9295] * vX_[1509] + vX_[451] * vX_[1565] +
+ vX_[8002] * vX_[1558] + vX_[8218] * vX_[1433]) *
+ vX_[1383];
+ vX_[8586] = vX_[9157] + vX_[8267] * vX_[304] + vX_[8586] * vX_[317] + vX_[8597] * vX_[995];
+ vX_[8580] = vX_[9157] + vX_[9161] * vX_[276] + vX_[8580] * vX_[321] + vX_[8598] * vX_[1031];
+ vX_[9157] = vX_[8586] - vX_[8580];
+ vX_[9146] = vX_[8267] * vX_[276] + vX_[9161] * vX_[304] + vX_[8587] * vX_[321] + vX_[9146] * vX_[317] +
+ vX_[8597] * vX_[1031] + vX_[8598] * vX_[995];
+ vX_[8587] = vX_[9157] * vX_[277] + vX_[9146] * vX_[280];
+ vX_[9161] = vX_[9157] * vX_[279] + vX_[9146] * vX_[277];
+ vX_[8586] = 0 - vX_[8586];
+ vX_[8267] = 0 - vX_[9146];
+ vX_[1191] = vX_[8552] * vX_[304] + vX_[9156] * vX_[276] + vX_[1191] * vX_[317] + vX_[8597] * vX_[1144] +
+ vX_[8594] * vX_[995];
+ vX_[8162] = 0 - vX_[1191];
+ vX_[2847] = vX_[8552] * vX_[276] + vX_[9156] * vX_[303] + vX_[2847] * vX_[317] + vX_[8597] * vX_[1032] +
+ vX_[8603] * vX_[995];
+ vX_[8552] = 0 - vX_[2847];
+ vX_[9156] =
+ (vX_[8586] * vX_[311] + vX_[8267] * vX_[298] + vX_[8162] * vX_[307] + vX_[8552] * vX_[288]) * 1 / vX_[300];
+ vX_[8586] = vX_[8599] * vX_[1631] + vX_[8586] * vX_[312] + vX_[9156];
+ vX_[9136] = vX_[1259] * vX_[304] + vX_[9150] * vX_[276] + vX_[9136] * vX_[321] + vX_[8598] * vX_[1144] +
+ vX_[8594] * vX_[1031];
+ vX_[8580] = 0 - vX_[8580];
+ vX_[1624] = 0 - vX_[9136];
+ vX_[7998] = vX_[1259] * vX_[276] + vX_[9150] * vX_[303] + vX_[7998] * vX_[321] + vX_[8598] * vX_[1032] +
+ vX_[8603] * vX_[1031];
+ vX_[1259] = 0 - vX_[7998];
+ vX_[9150] = (vX_[8580] * vX_[298] + vX_[1624] * vX_[307] + vX_[1259] * vX_[288]) * 1 / vX_[300];
+ vX_[8580] = vX_[8600] * vX_[1631] + vX_[8267] * vX_[312] + vX_[8580] * vX_[301] + vX_[9150];
+ vX_[9160] = vX_[8584] + vX_[9142] * vX_[317] + vX_[9160] * vX_[321] * 2. + vX_[8593] * vX_[1032] - vX_[8580];
+ vX_[8584] = vX_[8591] + vX_[8594] * vX_[1144];
+ vX_[8589] = vX_[8589] + vX_[8603] * vX_[1032];
+ vX_[8267] = vX_[8584] - vX_[8589];
+ vX_[9246] = 0 - vX_[8584];
+ vX_[9142] = vX_[9142] + vX_[8594] * vX_[1032] + vX_[8603] * vX_[1144];
+ vX_[8175] = 0 - vX_[9142];
+ vX_[4133] = (vX_[9246] * vX_[307] + vX_[8175] * vX_[288]) * 1 / vX_[300];
+ vX_[9246] = vX_[8602] * vX_[1631] + vX_[8162] * vX_[312] + vX_[1624] * vX_[301] + vX_[9246] * vX_[344] + vX_[4133];
+ vX_[1624] = 0 - vX_[8589];
+ vX_[8162] = vX_[1624] * vX_[288] * 1 / vX_[300];
+ vX_[1624] = vX_[8604] * vX_[1631] + vX_[8552] * vX_[312] + vX_[1259] * vX_[301] + vX_[8175] * vX_[344] +
+ vX_[1624] * vX_[340] + vX_[8162];
+ vX_[8175] = 0 - vX_[1624];
+ vX_[1259] = vX_[8267] * vX_[277] + vX_[9142] * vX_[280];
+ vX_[8552] = vX_[8267] * vX_[279] + vX_[9142] * vX_[277];
+ vX_[616] = vX_[8589] + vX_[1259] * vX_[277];
+ vX_[8155] = vX_[8589] + vX_[8552] * vX_[279];
+ vX_[8162] = vX_[8584] + vX_[8589] + 0 - vX_[8599] * vX_[920] - vX_[8600] * vX_[924] - vX_[8601] * vX_[1154] +
+ vX_[8601] * vX_[1631] - vX_[8602] * vX_[1232] - vX_[8604] * vX_[1440] - vX_[9156] * vX_[312] -
+ vX_[9150] * vX_[301] - vX_[4133] * vX_[344] - vX_[8162] * vX_[340] - vX_[616] - vX_[8155];
+ vX_[4133] = 0 - vX_[8155];
+ vX_[8589] = vX_[8586] * vX_[277] + vX_[8580] * vX_[280];
+ vX_[8584] = 0 - vX_[8162];
+ vX_[9150] = vX_[8589] + vX_[8584] * vX_[285];
+ vX_[9156] = vX_[8586] * vX_[279] + vX_[8580] * vX_[277];
+ vX_[8604] = vX_[9156] + vX_[8162] * vX_[282];
+ vX_[1156] = 0 - (vX_[9168] + vX_[1156] * vX_[321] + vX_[8591] * vX_[317] * 2. + vX_[8593] * vX_[1144]) + vX_[8586];
+ vX_[9168] = vX_[1259] * vX_[279] + vX_[8552] * vX_[277];
+ vX_[8591] = 0 - vX_[1624];
+ jac[430] =
+ (vX_[8597] * vX_[1430] + vX_[8594] * vX_[2051] + vX_[9157] * vX_[326] + vX_[8587] * 0.00185880198235362 +
+ vX_[9161] * -7.4114911576828e-06 + vX_[8586] * vX_[296] + vX_[2847] * vX_[281] + vX_[1191] * vX_[306] +
+ (vX_[9136] * vX_[280] + vX_[1191] * vX_[277]) * 8.81e-05 + vX_[9160] * vX_[291] + vX_[8267] * vX_[337] +
+ vX_[9246] * vX_[287] + vX_[8175] * vX_[283] + vX_[1259] * vX_[336] + vX_[8552] * vX_[335] +
+ vX_[9083] * vX_[1460] + vX_[5378] * vX_[1547] - (vX_[8598] * vX_[2049] + vX_[8167] * vX_[1116]) +
+ (vX_[8605] * vX_[1430] + vX_[8162] * vX_[293] + vX_[4133] * vX_[294] + vX_[9150] * 0.00185880198235362 +
+ vX_[8604] * 0.880992588508842 +
+ (0 - (vX_[9160] * vX_[277] + vX_[1156] * vX_[280] + vX_[9156] + vX_[9168] * vX_[285] +
+ vX_[4133] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[8175] * vX_[279] + vX_[9246] * vX_[277]) +
+ (vX_[9246] * vX_[277] + vX_[1624] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[9168]) * -0.1104774 + (0 - vX_[8155]) * 0.000881 + vX_[9083] * vX_[1109]) *
+ 0.35 -
+ (vX_[8603] * vX_[1605] + vX_[9146] * vX_[327] + vX_[8580] * vX_[292] + vX_[9136] * vX_[305] +
+ vX_[7998] * vX_[278] + (vX_[2847] * vX_[279] + vX_[7998] * vX_[277]) * -8.81e-05 +
+ vX_[1156] * vX_[295] + vX_[1624] * vX_[284] + vX_[9142] * vX_[338] + vX_[9246] * vX_[286] +
+ vX_[1554] * vX_[1616]) +
+ vX_[8607] * vX_[1392] + vX_[8642] * vX_[1627] + vX_[8627] * vX_[1578] + vX_[8644] * vX_[1635] +
+ vX_[8613] * vX_[1409] + vX_[8629] * vX_[1583] + vX_[8608] * vX_[1425] + vX_[8633] * vX_[1600] +
+ vX_[8626] * vX_[275] + vX_[8645] * vX_[1643] + vX_[8615] * vX_[1418] + vX_[9243] * vX_[1590] +
+ vX_[8618] * vX_[1427] + vX_[2876] * vX_[1393] + vX_[8621] * vX_[1439] + vX_[8635] * vX_[1445] +
+ vX_[8631] * vX_[1558] + vX_[8646] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[8597] * vX_[2049] + vX_[8598] * vX_[1430] + vX_[8594] * vX_[1605] + vX_[8603] * vX_[2051] +
+ vX_[9157] * vX_[327] + vX_[9146] * vX_[326] + vX_[8587] * -0.466187537174287 +
+ vX_[9161] * 0.00185880198235362 + vX_[8586] * vX_[292] + vX_[8580] * vX_[296] + vX_[9136] * vX_[306] +
+ vX_[2847] * vX_[278] + vX_[1191] * vX_[305] + vX_[7998] * vX_[281] +
+ (vX_[9136] * vX_[277] + vX_[1191] * vX_[279]) * -8.81e-05 +
+ (vX_[2847] * vX_[277] + vX_[7998] * vX_[280]) * 8.81e-05 + vX_[9160] * vX_[295] + vX_[1156] * vX_[291] +
+ vX_[8267] * vX_[338] + vX_[9246] * vX_[284] + vX_[1624] * vX_[287] + vX_[9142] * vX_[337] +
+ vX_[8591] * vX_[286] + vX_[9246] * vX_[283] + vX_[1259] * vX_[334] + vX_[8552] * vX_[336] +
+ (vX_[9168] * vX_[294] + vX_[8584] * vX_[289] + vX_[616] * vX_[290] + (0 - vX_[9150]) * 0.414812462825713 +
+ (0 - (vX_[9160] * vX_[279] + vX_[1156] * vX_[277]) + vX_[8589] + vX_[616] * vX_[285]) * 0.881 +
+ (0 - vX_[8604]) * 0.00185880198235362 +
+ (0 - (vX_[8591] * vX_[277] + vX_[9246] * vX_[280] +
+ (vX_[9246] * vX_[279] + vX_[1624] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[9168] * 0.0004405 + vX_[616] * -0.2209548) *
+ -0.35 +
+ vX_[8167] * vX_[1460] + vX_[9083] * vX_[1116] + vX_[1554] * vX_[1547] + vX_[5378] * vX_[1616] +
+ (vX_[8605] * vX_[2049] + vX_[8167] * vX_[1109]) * 0.35 + vX_[8641] * vX_[1627] + vX_[8609] * vX_[1398] +
+ vX_[8644] * vX_[1638] + vX_[8613] * vX_[1412] + vX_[4117] * vX_[1585] + vX_[8617] * vX_[1427] +
+ vX_[2677] * vX_[1393] + vX_[8620] * vX_[303] + vX_[8645] * vX_[1646] + vX_[8615] * vX_[1421] +
+ vX_[8630] * vX_[1589] + vX_[8595] * vX_[1425] + vX_[8634] * vX_[1602] + vX_[9241] * vX_[275] +
+ vX_[1845] * vX_[1447] + vX_[8631] * vX_[1594] + vX_[8190] * vX_[1434] + vX_[8220] * vX_[1496] +
+ vX_[1036] * vX_[1513] + vX_[8612] * vX_[1534] + vX_[9227] * vX_[1522] + vX_[1347] * vX_[1527] +
+ vX_[1660] * vX_[1487] + vX_[2000] * vX_[1475] + vX_[8662] * vX_[1479] + vX_[9322] * vX_[1507] +
+ vX_[9165] * vX_[1510] + vX_[8770] * vX_[1567] + vX_[7834] * vX_[1513] + vX_[4127] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[2882] * vX_[1494] + vX_[1036] * vX_[1515] + vX_[8253] * vX_[1489] + vX_[8612] * vX_[1532] +
+ vX_[9227] * vX_[1524] + vX_[1347] * vX_[1528] + vX_[1664] * vX_[1485] + vX_[1976] * vX_[1472] +
+ vX_[8662] * vX_[1481] + vX_[9163] * vX_[1506] + vX_[2754] * vX_[1509] + vX_[8653] * vX_[1565] +
+ vX_[7834] * vX_[1558] + vX_[8647] * vX_[1433]) *
+ vX_[1383];
+ vX_[1404] = vX_[5370] + vX_[4394] * vX_[304] + vX_[1404] * vX_[317] + vX_[9008] * vX_[995];
+ vX_[1395] = vX_[5370] + vX_[2861] * vX_[276] + vX_[1395] * vX_[321] + vX_[9009] * vX_[1031];
+ vX_[5370] = vX_[1404] - vX_[1395];
+ vX_[1466] = vX_[4394] * vX_[276] + vX_[2861] * vX_[304] + vX_[1778] * vX_[321] + vX_[1466] * vX_[317] +
+ vX_[9008] * vX_[1031] + vX_[9009] * vX_[995];
+ vX_[1778] = vX_[5370] * vX_[277] + vX_[1466] * vX_[280];
+ vX_[2861] = vX_[5370] * vX_[279] + vX_[1466] * vX_[277];
+ vX_[1404] = 0 - vX_[1404];
+ vX_[4394] = 0 - vX_[1466];
+ vX_[8996] = vX_[830] * vX_[304] + vX_[2493] * vX_[276] + vX_[8996] * vX_[317] + vX_[9008] * vX_[1144] +
+ vX_[9005] * vX_[995];
+ vX_[8591] = 0 - vX_[8996];
+ vX_[1348] = vX_[830] * vX_[276] + vX_[2493] * vX_[303] + vX_[1348] * vX_[317] + vX_[9008] * vX_[1032] +
+ vX_[9014] * vX_[995];
+ vX_[830] = 0 - vX_[1348];
+ vX_[311] =
+ (vX_[1404] * vX_[311] + vX_[4394] * vX_[298] + vX_[8591] * vX_[307] + vX_[830] * vX_[288]) * 1 / vX_[300];
+ vX_[1404] = vX_[9010] * vX_[1631] + vX_[1404] * vX_[312] + vX_[311];
+ vX_[9000] = vX_[4396] * vX_[304] + vX_[840] * vX_[276] + vX_[9000] * vX_[321] + vX_[9009] * vX_[1144] +
+ vX_[9005] * vX_[1031];
+ vX_[1395] = 0 - vX_[1395];
+ vX_[2493] = 0 - vX_[9000];
+ vX_[1312] = vX_[4396] * vX_[276] + vX_[840] * vX_[303] + vX_[1312] * vX_[321] + vX_[9009] * vX_[1032] +
+ vX_[9014] * vX_[1031];
+ vX_[4396] = 0 - vX_[1312];
+ vX_[298] = (vX_[1395] * vX_[298] + vX_[2493] * vX_[307] + vX_[4396] * vX_[288]) * 1 / vX_[300];
+ vX_[1395] = vX_[9011] * vX_[1631] + vX_[4394] * vX_[312] + vX_[1395] * vX_[301] + vX_[298];
+ vX_[9057] = vX_[1237] + vX_[7158] * vX_[317] + vX_[9057] * vX_[321] * 2. + vX_[9004] * vX_[1032] - vX_[1395];
+ vX_[1237] = vX_[1304] + vX_[9005] * vX_[1144];
+ vX_[3742] = vX_[3742] + vX_[9014] * vX_[1032];
+ vX_[4394] = vX_[1237] - vX_[3742];
+ vX_[840] = 0 - vX_[1237];
+ vX_[7158] = vX_[7158] + vX_[9005] * vX_[1032] + vX_[9014] * vX_[1144];
+ vX_[1032] = 0 - vX_[7158];
+ vX_[307] = (vX_[840] * vX_[307] + vX_[1032] * vX_[288]) * 1 / vX_[300];
+ vX_[840] = vX_[9013] * vX_[1631] + vX_[8591] * vX_[312] + vX_[2493] * vX_[301] + vX_[840] * vX_[344] + vX_[307];
+ vX_[2493] = 0 - vX_[3742];
+ vX_[300] = vX_[2493] * vX_[288] * 1 / vX_[300];
+ vX_[2493] = vX_[9015] * vX_[1631] + vX_[830] * vX_[312] + vX_[4396] * vX_[301] + vX_[1032] * vX_[344] +
+ vX_[2493] * vX_[340] + vX_[300];
+ vX_[1032] = 0 - vX_[2493];
+ vX_[4396] = vX_[4394] * vX_[277] + vX_[7158] * vX_[280];
+ vX_[830] = vX_[4394] * vX_[279] + vX_[7158] * vX_[277];
+ vX_[288] = vX_[3742] + vX_[4396] * vX_[277];
+ vX_[8591] = vX_[3742] + vX_[830] * vX_[279];
+ vX_[300] = vX_[1237] + vX_[3742] + 0 - vX_[9010] * vX_[920] - vX_[9011] * vX_[924] - vX_[9012] * vX_[1154] +
+ vX_[9012] * vX_[1631] - vX_[9013] * vX_[1232] - vX_[9015] * vX_[1440] - vX_[311] * vX_[312] -
+ vX_[298] * vX_[301] - vX_[307] * vX_[344] - vX_[300] * vX_[340] - vX_[288] - vX_[8591];
+ vX_[307] = 0 - vX_[8591];
+ vX_[3742] = vX_[1404] * vX_[277] + vX_[1395] * vX_[280];
+ vX_[1237] = 0 - vX_[300];
+ vX_[298] = vX_[3742] + vX_[1237] * vX_[285];
+ vX_[311] = vX_[1404] * vX_[279] + vX_[1395] * vX_[277];
+ vX_[1440] = vX_[311] + vX_[300] * vX_[282];
+ vX_[2045] = 0 - (vX_[4932] + vX_[2045] * vX_[321] + vX_[1304] * vX_[317] * 2. + vX_[9004] * vX_[1144]) + vX_[1404];
+ vX_[4932] = vX_[4396] * vX_[279] + vX_[830] * vX_[277];
+ vX_[1304] = 0 - vX_[2493];
+ jac[431] =
+ (vX_[9008] * vX_[1430] + vX_[9005] * vX_[2051] + vX_[5370] * vX_[326] + vX_[1778] * 0.00185880198235362 +
+ vX_[2861] * -7.4114911576828e-06 + vX_[1404] * vX_[296] + vX_[1348] * vX_[281] + vX_[8996] * vX_[306] +
+ (vX_[9000] * vX_[280] + vX_[8996] * vX_[277]) * 8.81e-05 + vX_[9057] * vX_[291] + vX_[4394] * vX_[337] +
+ vX_[840] * vX_[287] + vX_[1032] * vX_[283] + vX_[4396] * vX_[336] + vX_[830] * vX_[335] +
+ vX_[1662] * vX_[1460] + vX_[4491] * vX_[1547] - (vX_[9009] * vX_[2049] + vX_[8596] * vX_[1116]) +
+ (vX_[9016] * vX_[1430] + vX_[300] * vX_[293] + vX_[307] * vX_[294] + vX_[298] * 0.00185880198235362 +
+ vX_[1440] * 0.880992588508842 +
+ (0 - (vX_[9057] * vX_[277] + vX_[2045] * vX_[280] + vX_[311] + vX_[4932] * vX_[285] +
+ vX_[307] * vX_[282])) *
+ 0.881 +
+ (0 - (vX_[1032] * vX_[279] + vX_[840] * vX_[277]) + (vX_[840] * vX_[277] + vX_[2493] * vX_[280]) * 2.) *
+ -8.81e-05 +
+ (0 - vX_[4932]) * -0.1104774 + (0 - vX_[8591]) * 0.000881 + vX_[1662] * vX_[1109]) *
+ 0.35 -
+ (vX_[9014] * vX_[1605] + vX_[1466] * vX_[327] + vX_[1395] * vX_[292] + vX_[9000] * vX_[305] +
+ vX_[1312] * vX_[278] + (vX_[1348] * vX_[279] + vX_[1312] * vX_[277]) * -8.81e-05 +
+ vX_[2045] * vX_[295] + vX_[2493] * vX_[284] + vX_[7158] * vX_[338] + vX_[840] * vX_[286] +
+ vX_[2021] * vX_[1616]) +
+ vX_[9018] * vX_[1392] + vX_[9053] * vX_[1627] + vX_[9038] * vX_[1578] + vX_[9055] * vX_[1635] +
+ vX_[9024] * vX_[1409] + vX_[9040] * vX_[1583] + vX_[8859] * vX_[1425] + vX_[9044] * vX_[1600] +
+ vX_[2057] * vX_[275] + vX_[9056] * vX_[1643] + vX_[9026] * vX_[1418] + vX_[2096] * vX_[1590] +
+ vX_[9029] * vX_[1427] + vX_[1607] * vX_[1393] + vX_[1596] * vX_[1439] + vX_[9046] * vX_[1445] +
+ vX_[9042] * vX_[1558] + vX_[2050] * vX_[1433]) *
+ vX_[1368] -
+ (vX_[9008] * vX_[2049] + vX_[9009] * vX_[1430] + vX_[9005] * vX_[1605] + vX_[9014] * vX_[2051] +
+ vX_[5370] * vX_[327] + vX_[1466] * vX_[326] + vX_[1778] * -0.466187537174287 +
+ vX_[2861] * 0.00185880198235362 + vX_[1404] * vX_[292] + vX_[1395] * vX_[296] + vX_[9000] * vX_[306] +
+ vX_[1348] * vX_[278] + vX_[8996] * vX_[305] + vX_[1312] * vX_[281] +
+ (vX_[9000] * vX_[277] + vX_[8996] * vX_[279]) * -8.81e-05 +
+ (vX_[1348] * vX_[277] + vX_[1312] * vX_[280]) * 8.81e-05 + vX_[9057] * vX_[295] + vX_[2045] * vX_[291] +
+ vX_[4394] * vX_[338] + vX_[840] * vX_[284] + vX_[2493] * vX_[287] + vX_[7158] * vX_[337] +
+ vX_[1304] * vX_[286] + vX_[840] * vX_[283] + vX_[4396] * vX_[334] + vX_[830] * vX_[336] +
+ (vX_[4932] * vX_[294] + vX_[1237] * vX_[289] + vX_[288] * vX_[290] + (0 - vX_[298]) * 0.414812462825713 +
+ (0 - (vX_[9057] * vX_[279] + vX_[2045] * vX_[277]) + vX_[3742] + vX_[288] * vX_[285]) * 0.881 +
+ (0 - vX_[1440]) * 0.00185880198235362 +
+ (0 - (vX_[1304] * vX_[277] + vX_[840] * vX_[280] + (vX_[840] * vX_[279] + vX_[2493] * vX_[277]) * 2.)) *
+ 8.81e-05 +
+ vX_[4932] * 0.0004405 + vX_[288] * -0.2209548) *
+ -0.35 +
+ vX_[8596] * vX_[1460] + vX_[1662] * vX_[1116] + vX_[2021] * vX_[1547] + vX_[4491] * vX_[1616] +
+ (vX_[9016] * vX_[2049] + vX_[8596] * vX_[1109]) * 0.35 + vX_[9052] * vX_[1627] + vX_[9020] * vX_[1398] +
+ vX_[9055] * vX_[1638] + vX_[9024] * vX_[1412] + vX_[1551] * vX_[1585] + vX_[9028] * vX_[1427] +
+ vX_[1502] * vX_[1393] + vX_[9037] * vX_[303] + vX_[9056] * vX_[1646] + vX_[9026] * vX_[1421] +
+ vX_[9041] * vX_[1589] + vX_[9332] * vX_[1425] + vX_[9045] * vX_[1602] + vX_[9030] * vX_[275] +
+ vX_[420] * vX_[1447] + vX_[9042] * vX_[1594] + vX_[379] * vX_[1434] + vX_[1470] * vX_[1496] +
+ vX_[2039] * vX_[1513] + vX_[9023] * vX_[1534] + vX_[2048] * vX_[1522] + vX_[391] * vX_[1527] +
+ vX_[1455] * vX_[1487] + vX_[4492] * vX_[1475] + vX_[2052] * vX_[1479] + vX_[1208] * vX_[1507] +
+ vX_[538] * vX_[1510] + vX_[1508] * vX_[1567] + vX_[1556] * vX_[1513] + vX_[364] * vX_[1490]) *
+ vX_[1384] +
+ (vX_[1464] * vX_[1494] + vX_[2039] * vX_[1515] + vX_[9031] * vX_[1489] + vX_[9023] * vX_[1532] +
+ vX_[2048] * vX_[1524] + vX_[391] * vX_[1528] + vX_[426] * vX_[1485] + vX_[4499] * vX_[1472] +
+ vX_[2052] * vX_[1481] + vX_[1345] * vX_[1506] + vX_[547] * vX_[1509] + vX_[1563] * vX_[1565] +
+ vX_[1556] * vX_[1558] + vX_[9058] * vX_[1433]) *
+ vX_[1383];
+ vX_[1304] = vX_[1084] * 0.881 + (0 - vX_[1089]) * -0.000881;
+ vX_[4932] = vX_[1078] * -0.881;
+ vX_[2045] = vX_[1089] * 0.110125;
+ vX_[1440] = vX_[4932] - vX_[2045];
+ vX_[311] = vX_[1304] * vX_[2915] + vX_[1440] * vX_[963];
+ vX_[298] = vX_[1068] * 3.146 + (0 - vX_[1070]) * 0.0825825;
+ vX_[1237] = vX_[1067] * -3.146;
+ vX_[3742] = vX_[1070] * 0.47422804;
+ vX_[307] = vX_[1237] - vX_[3742];
+ vX_[300] = vX_[311] + vX_[298] * vX_[775] + vX_[307] * vX_[1018];
+ vX_[8591] = vX_[1054] * 3.44 + vX_[1057] * -0.5824264;
+ vX_[288] = 0 - vX_[8591];
+ vX_[830] = vX_[1047] * 3.44 + (0 - vX_[1057]) * 0.1466472;
+ vX_[4396] = vX_[1047] * vX_[252] + vX_[1045] * vX_[234] + vX_[1054] * vX_[243] + vX_[1057] * vX_[528] +
+ vX_[1059] * vX_[580];
+ vX_[1032] = vX_[300] * -1 + vX_[288] * vX_[4087] + vX_[830] * vX_[3807] + vX_[4396] * x_in[30];
+ vX_[2493] = vX_[1399] - vX_[3630];
+ vX_[840] = vX_[663] + vX_[4125];
+ vX_[7158] = vX_[2493] * vX_[249] + vX_[840] * vX_[247];
+ vX_[4394] = vX_[3737] - vX_[3630];
+ vX_[9057] = vX_[4394] * vX_[249];
+ vX_[1395] = vX_[2493] * vX_[235] + vX_[840] * vX_[249];
+ vX_[1312] = vX_[4394] * vX_[247];
+ vX_[9000] = vX_[1395] + vX_[1312];
+ vX_[1404] = vX_[7158] * vX_[235] + vX_[9057] * vX_[247] + vX_[9000] * vX_[249];
+ vX_[1348] = 0 - vX_[1404];
+ vX_[8996] = vX_[3630] + vX_[1395] * vX_[235] + vX_[9057] * vX_[249];
+ vX_[2861] = 0 - vX_[8996];
+ vX_[1778] = vX_[3630] + vX_[7158] * vX_[249] + vX_[1312] * vX_[247];
+ vX_[1466] = vX_[3720] + vX_[3717];
+ vX_[5370] = vX_[576] + vX_[742] - vX_[1466];
+ vX_[1383] = vX_[1428] + vX_[3704];
+ vX_[1384] = 0 - (vX_[665] + vX_[741]) + vX_[1383];
+ vX_[1368] = (vX_[1383] * vX_[235] + vX_[1466] * vX_[249]) * -1;
+ vX_[364] = 0 - (vX_[5370] * vX_[249] + vX_[1384] * vX_[247]) + vX_[1368];
+ vX_[379] = vX_[364] + vX_[8996] * vX_[236];
+ vX_[9030] = 0 - vX_[379];
+ vX_[9058] = (vX_[1383] * vX_[249] + vX_[1466] * vX_[247]) * -1;
+ vX_[2050] = vX_[5370] * vX_[235] + vX_[1384] * vX_[249] + vX_[9058];
+ vX_[538] = 0 - vX_[1778];
+ vX_[547] = vX_[2050] + vX_[1404] * vX_[236] + vX_[538] * vX_[165];
+ vX_[1208] = vX_[726] + vX_[3953];
+ vX_[1345] = vX_[670] + vX_[720];
+ vX_[9031] = vX_[1208] * vX_[247] + vX_[1345] * vX_[249];
+ vX_[1596] = vX_[638] + vX_[687];
+ vX_[9037] = vX_[724] + vX_[4112];
+ vX_[2057] = vX_[1596] * vX_[249] + vX_[9037] * vX_[247];
+ vX_[9038] = vX_[9031] * vX_[235] + vX_[2057] * vX_[249];
+ vX_[1556] = vX_[676] + vX_[1586];
+ vX_[4492] = vX_[3699] + vX_[3707];
+ vX_[4499] = 0 - vX_[4492];
+ vX_[1455] = vX_[1556] * vX_[249] + vX_[4499] * vX_[247];
+ vX_[426] = 0 - vX_[1455];
+ vX_[391] = vX_[9038] + vX_[426] * vX_[165] + vX_[2861] * vX_[251];
+ vX_[2039] = 0 - vX_[391];
+ vX_[9042] = vX_[1208] * vX_[249] + vX_[1345] * vX_[235];
+ vX_[1607] = vX_[1596] * vX_[235] + vX_[9037] * vX_[249];
+ vX_[9045] = vX_[9042] * vX_[249] + vX_[1607] * vX_[247];
+ vX_[4492] = 0 - vX_[4492];
+ vX_[1502] = vX_[1556] * vX_[235] + vX_[4492] * vX_[249];
+ vX_[9056] = 0 - vX_[1502];
+ vX_[9044] = vX_[9045] + vX_[9056] * vX_[236] + vX_[1778] * vX_[251];
+ vX_[9055] = vX_[9042] * vX_[235] + vX_[1607] * vX_[249];
+ vX_[9020] = vX_[9055] + vX_[1455] * vX_[236];
+ vX_[9018] = vX_[9031] * vX_[249] + vX_[2057] * vX_[247];
+ vX_[1508] = vX_[9018] + vX_[1502] * vX_[165] + vX_[1348] * vX_[251];
+ vX_[1563] = 0 - vX_[9020] + vX_[1508];
+ vX_[2052] = 0 - vX_[1404];
+ vX_[2048] = 0 - vX_[8996];
+ vX_[2861] = vX_[1348] * vX_[583] + vX_[2861] * vX_[530] + vX_[1778] * vX_[214] + vX_[9030] * vX_[252] +
+ vX_[547] * vX_[263] + vX_[2039] * vX_[243] + vX_[9044] * vX_[237] + vX_[1563] * vX_[234] +
+ vX_[2052] * vX_[580] + vX_[1404] * vX_[577] + vX_[2048] * vX_[529] + vX_[1778] * vX_[533];
+ vX_[1348] = 0 - vX_[1304];
+ vX_[9023] = vX_[1063] * 0.881 + (0 - vX_[1093]) * 0.110125 + vX_[1102] * -0.000881;
+ vX_[1470] = vX_[1078] * -0.00370574557885489 + vX_[1084] * 0.880970354035369;
+ vX_[1464] = vX_[1348] * vX_[789] + vX_[9023] * vX_[963] + vX_[1470] * x_in[32];
+ vX_[2045] = 0 - vX_[4932] + vX_[2045];
+ vX_[4932] = 0 - vX_[9023];
+ vX_[420] = vX_[1078] * 0.417781802643138 + vX_[1084] * -0.00370574557885489;
+ vX_[9046] = vX_[2045] * vX_[789] + vX_[4932] * vX_[2915] - vX_[420] * x_in[32];
+ vX_[9332] = 0 - vX_[298];
+ vX_[9029] = vX_[1061] * 3.146 + (0 - vX_[1062]) * 0.47422804 + vX_[1075] * 0.0825825;
+ vX_[8859] = vX_[1067] * vX_[211] + vX_[1068] * vX_[210] + vX_[1062] * vX_[187] + vX_[1075] * vX_[185];
+ vX_[9028] = vX_[1464] * vX_[169] + vX_[9046] * vX_[167] + vX_[9332] * vX_[816] + vX_[9029] * vX_[1018] +
+ vX_[8859] * x_in[31];
+ vX_[3742] = 0 - vX_[1237] + vX_[3742];
+ vX_[1237] = 0 - vX_[9029];
+ vX_[2096] = vX_[1067] * vX_[209] + vX_[1068] * vX_[211] + vX_[1062] * vX_[193] + vX_[1075] * vX_[192];
+ vX_[9041] = vX_[1464] * vX_[1069] + vX_[9046] * vX_[169] + vX_[3742] * vX_[816] + vX_[1237] * vX_[775] -
+ vX_[2096] * x_in[31];
+ vX_[1551] = vX_[1045] * -3.44;
+ vX_[9026] = vX_[1046] * 0.1466472;
+ vX_[9040] = vX_[1059] * -0.5824264;
+ vX_[9024] = 0 - vX_[1551] + vX_[9026] - vX_[9040];
+ vX_[9053] = 0 - vX_[830];
+ vX_[9052] = vX_[1047] * vX_[263] + vX_[1045] * vX_[237] + vX_[1054] * vX_[234] + vX_[1057] * vX_[577] +
+ vX_[1059] * vX_[527];
+ vX_[4491] = vX_[9028] * vX_[1065] + vX_[9041] * vX_[186] + vX_[9024] * vX_[4087] + vX_[9053] * vX_[824] -
+ vX_[9052] * x_in[30];
+ vX_[2021] = vX_[1399] + vX_[3737] + vX_[3630] - vX_[8996] - vX_[1778];
+ vX_[1662] = 0 - vX_[2021];
+ vX_[1368] = vX_[1368] + vX_[1662] * vX_[236];
+ vX_[9058] = vX_[9058] + vX_[2021] * vX_[165];
+ vX_[8596] = 0 - vX_[547];
+ vX_[2051] = 0 - vX_[9044];
+ vX_[1605] = vX_[3716] + vX_[3712] + vX_[1345] + vX_[9037] - vX_[9055] - vX_[9018];
+ vX_[1508] = vX_[1605] - vX_[1508];
+ vX_[2049] = 0 - vX_[1455];
+ vX_[1430] = 0 - vX_[1404];
+ vX_[1460] = 0 - vX_[1778];
+ vX_[1547] = vX_[1768] - vX_[740];
+ vX_[1616] = vX_[1753] - vX_[740];
+ vX_[1116] = vX_[739] + vX_[44];
+ vX_[1109] = vX_[732] + vX_[4068];
+ vX_[9016] = vX_[574] + vX_[770];
+ vX_[9014] = 0 - vX_[9016];
+ vX_[9009] = vX_[1547] * vX_[249] + vX_[1116] * vX_[247];
+ vX_[9008] = vX_[1616] * vX_[249];
+ vX_[9005] = vX_[1547] * vX_[235] + vX_[1116] * vX_[249];
+ vX_[1646] = vX_[1616] * vX_[247];
+ vX_[1643] = vX_[9005] + vX_[1646];
+ vX_[1638] = vX_[1063] * -0.000881 + vX_[1102] * -0.000227999999999999;
+ vX_[1635] = vX_[1063] * 0.110125 + (0 - vX_[1093]) * 0.025713;
+ vX_[1627] = (0 - vX_[1078]) * -0.000881;
+ vX_[1602] = (0 - vX_[1084]) * 0.110125;
+ vX_[1600] = vX_[1627] + vX_[1602];
+ vX_[1600] = vX_[1348] * vX_[1930] + vX_[2045] * vX_[2925] + vX_[1638] * vX_[2915] + vX_[1635] * vX_[963] +
+ vX_[1600] * vX_[789] + vX_[1600] * vX_[789];
+ vX_[2045] = vX_[1061] * 0.0825825 + (0 - vX_[1070]) * -0.000102 + vX_[1062] * -0.007418 + vX_[1075] * 0.002735;
+ vX_[1348] = vX_[1061] * 0.47422804 + vX_[1070] * 2.1e-05 + (0 - vX_[1062]) * 0.084376 + (0 - vX_[1075]) * -0.007418;
+ vX_[1594] = (0 - vX_[1067]) * 0.0825825;
+ vX_[1590] = (0 - vX_[1068]) * 0.47422804;
+ vX_[1589] = vX_[1062] * -0.000102;
+ vX_[1585] = (0 - vX_[1075]) * 2.1e-05;
+ vX_[1583] = vX_[1594] + vX_[1590] + vX_[1589] + vX_[1585];
+ vX_[1583] = vX_[1600] + vX_[1464] * vX_[1077] + vX_[9046] * vX_[168] + vX_[9332] * vX_[797] +
+ vX_[3742] * vX_[2924] + vX_[2045] * vX_[775] + vX_[1348] * vX_[1018] + vX_[1583] * vX_[816] +
+ vX_[1583] * vX_[816];
+ vX_[3742] = vX_[1045] * -0.5824264 + (0 - vX_[1046]) * 0.022734 + vX_[1057] * 3.6e-05 + vX_[1059] * -0.133138;
+ vX_[9332] = vX_[1045] * 0.1466472 + vX_[1046] * 0.009466 + (0 - vX_[1057]) * -5.1e-05 + vX_[1059] * 0.022734;
+ vX_[1578] = (0 - vX_[1047]) * -0.5824264;
+ vX_[1567] = (0 - vX_[1054]) * 0.1466472;
+ vX_[1565] = (0 - vX_[1046]) * 3.6e-05;
+ vX_[1558] = (0 - vX_[1059]) * -5.1e-05;
+ vX_[1534] = vX_[1578] + vX_[1567] + vX_[1565] - vX_[1558];
+ vX_[1532] = vX_[1047] * vX_[268] + vX_[1045] * vX_[527] + vX_[1054] * vX_[580] + vX_[1057] * vX_[579] +
+ vX_[1059] * vX_[231];
+ vX_[1534] = vX_[9028] * vX_[1066] + vX_[9041] * vX_[201] + vX_[1583] * -1 + vX_[8591] * vX_[3339] +
+ vX_[9053] * vX_[806] + vX_[3742] * vX_[4087] + vX_[9332] * vX_[3807] + vX_[1534] * vX_[824] +
+ vX_[1534] * vX_[824] + vX_[1532] * x_in[30];
+ vX_[1089] = vX_[1078] * 0.110125 + vX_[1084] * -0.000881 + vX_[1089] * 0.025941;
+ vX_[1102] = vX_[1063] * -0.000881 + vX_[1102] * 0.000468;
+ vX_[1602] = vX_[1304] * vX_[812] + vX_[4932] * vX_[2925] + vX_[1638] * vX_[789] + vX_[1089] * vX_[963] +
+ vX_[1602] * vX_[2915] + vX_[1602] * vX_[2915] + vX_[1102] * x_in[32];
+ vX_[1093] = vX_[1063] * -0.110125 + vX_[1093] * 0.026409;
+ vX_[1089] = vX_[1440] * vX_[812] + vX_[9023] * vX_[1930] + vX_[1635] * vX_[789] + vX_[1089] * vX_[2915] +
+ vX_[1627] * vX_[963] + vX_[1627] * vX_[963] - vX_[1093] * x_in[32];
+ vX_[1627] = vX_[1067] * 0.47422804 + vX_[1068] * 0.0825825 + vX_[1070] * 0.081641 + (0 - vX_[1062]) * 2.1e-05 +
+ vX_[1075] * -0.000102;
+ vX_[1635] = (0 - vX_[1070]) * -0.007418;
+ vX_[1585] = vX_[1590] + vX_[1635] - vX_[1585];
+ vX_[1590] = vX_[1061] * vX_[180] + vX_[1067] * vX_[192] + vX_[1068] * vX_[185] + vX_[1062] * vX_[226] +
+ vX_[1075] * vX_[222];
+ vX_[1585] = vX_[311] * -0.35 + vX_[1602] * vX_[169] + vX_[1089] * vX_[167] + vX_[298] * vX_[968] +
+ vX_[1237] * vX_[2924] + vX_[2045] * vX_[816] + vX_[1627] * vX_[1018] + vX_[1585] * vX_[775] +
+ vX_[1585] * vX_[775] + vX_[1590] * x_in[31];
+ vX_[1635] = vX_[1594] - vX_[1635] - vX_[1589];
+ vX_[1589] = vX_[1061] * vX_[189] + vX_[1067] * vX_[193] + vX_[1068] * vX_[187] + vX_[1062] * vX_[220] +
+ vX_[1075] * vX_[226];
+ vX_[1635] = vX_[1602] * vX_[175] + vX_[1089] * vX_[169] + vX_[307] * vX_[968] + vX_[9029] * vX_[797] +
+ vX_[1348] * vX_[816] + vX_[1627] * vX_[775] + vX_[1635] * vX_[1018] + vX_[1635] * vX_[1018] -
+ vX_[1589] * x_in[31];
+ vX_[9040] = vX_[1551] - vX_[9026] + vX_[9040];
+ vX_[9026] = vX_[1047] * 0.1466472 + vX_[1054] * -0.5824264 + vX_[1046] * -5.1e-05 + (0 - vX_[1057]) * -0.123672 +
+ (0 - vX_[1059]) * 3.6e-05;
+ vX_[1551] = vX_[1057] * 0.022734;
+ vX_[1565] = vX_[1578] - vX_[1565] - vX_[1551];
+ vX_[1578] = vX_[1047] * vX_[205] + vX_[1045] * vX_[577] + vX_[1054] * vX_[528] + vX_[1057] * vX_[526] +
+ vX_[1059] * vX_[579];
+ vX_[1565] = vX_[1585] * vX_[195] + vX_[1635] * vX_[186] + vX_[9040] * vX_[3339] + vX_[830] * vX_[3838] +
+ vX_[9026] * vX_[4087] + vX_[9332] * vX_[824] + vX_[1565] * vX_[3807] + vX_[1565] * vX_[3807] -
+ vX_[1578] * x_in[30];
+ vX_[1315] = vX_[1315] * vX_[2018];
+ vX_[9332] = vX_[1315] * vX_[169];
+ vX_[1317] = vX_[1317] * vX_[2018];
+ vX_[830] = vX_[1317] * vX_[167];
+ vX_[1319] = vX_[1319] * vX_[2018];
+ vX_[1094] = vX_[1094] * vX_[2013];
+ vX_[1627] = vX_[1094] * vX_[169];
+ vX_[1348] = vX_[1094] * vX_[167];
+ vX_[1269] = vX_[1269] * vX_[2025];
+ vX_[9029] = vX_[1269] * vX_[167];
+ vX_[1112] = vX_[1112] * vX_[2015];
+ vX_[307] = vX_[1112] * vX_[169];
+ vX_[1103] = vX_[1103] * vX_[2013];
+ vX_[1594] = vX_[1103] * vX_[169];
+ vX_[2045] = 0 - vX_[1594];
+ vX_[1237] = vX_[1103] * vX_[167];
+ vX_[298] = 0 - vX_[1348];
+ vX_[311] = vX_[1269] * vX_[169];
+ vX_[1275] = vX_[1275] * vX_[2025];
+ vX_[9023] = 0 - vX_[1275];
+ vX_[1440] = vX_[9023] * vX_[169];
+ vX_[1063] = vX_[1275] * vX_[167];
+ vX_[1638] = vX_[1315] + vX_[1112];
+ vX_[1117] = vX_[1117] * vX_[2015];
+ vX_[4932] = 0 - vX_[1317] - vX_[1117];
+ vX_[1304] = vX_[1638] * vX_[167] + vX_[4932] * vX_[169];
+ vX_[1084] = vX_[1117] * vX_[167];
+ vX_[1291] = vX_[1291] * vX_[2025] + vX_[1132] * vX_[2013];
+ vX_[1132] = 0 - vX_[1291];
+ vX_[1078] = 0 - vX_[1291];
+ vX_[9053] = vX_[1078] * vX_[169];
+ vX_[1528] = vX_[1291] * vX_[167];
+ vX_[1527] = vX_[1292] * vX_[1209] + vX_[2022] * vX_[1159] + vX_[2028] * vX_[1194];
+ vX_[1524] = 0 - vX_[1527];
+ vX_[1522] = vX_[1292] * vX_[1294] + vX_[2022] * vX_[1195] + vX_[2028] * vX_[1153];
+ vX_[1515] = vX_[1524] * x_in[18] + vX_[1522] * x_in[19];
+ vX_[1513] = 0 - vX_[1515];
+ vX_[1510] = 0 - vX_[1515];
+ vX_[1509] = vX_[1510] * vX_[169];
+ vX_[1507] = vX_[1515] * vX_[167];
+ vX_[1292] = vX_[1292] * vX_[1192] + vX_[2022] * vX_[1210] + vX_[2028] * vX_[1295];
+ jac[1134] = vX_[2096] * vX_[1119] + vX_[8859] * vX_[797] + vX_[1589] * vX_[2026] + vX_[1590] * vX_[775] +
+ vX_[1583] + vX_[1292] * vX_[1214] + vX_[1527] * vX_[1165] + vX_[1522] * vX_[1198];
+ jac[1170] = vX_[420] * vX_[1968] + vX_[1470] * vX_[1930] + vX_[1093] * vX_[1653] + vX_[1102] * vX_[2915] +
+ vX_[1600] + vX_[1292] * vX_[1225] + vX_[1527] * vX_[1176] + vX_[1522] * vX_[1199];
+ vX_[1093] = vX_[1292] * x_in[32];
+ vX_[1102] = vX_[1093] * vX_[169];
+ vX_[1600] = vX_[1093] * vX_[167];
+ vX_[420] = vX_[1292] * x_in[31];
+ vX_[1470] = vX_[1527] * x_in[30];
+ vX_[1589] = 0 - vX_[1470];
+ vX_[1590] = vX_[420] * vX_[169];
+ vX_[1583] = 0 - vX_[1470];
+ vX_[2096] = vX_[1583] * vX_[169];
+ vX_[8859] = vX_[420] * vX_[167];
+ vX_[2028] = vX_[1470] * vX_[167];
+ vX_[2022] = vX_[1339] * vX_[1180];
+ vX_[1506] = 0 - vX_[2022];
+ vX_[1496] = 0 - vX_[2022];
+ vX_[1494] = vX_[1496] * vX_[169];
+ vX_[1490] = vX_[2022] * vX_[167];
+ vX_[1489] = sin(x_in[12]);
+ vX_[1487] = 0 - vX_[1368];
+ vX_[1485] = 0 - vX_[9058];
+ vX_[1605] = 0 - vX_[1605] + vX_[9020];
+ vX_[9020] = 0 - vX_[1502];
+ vX_[9016] = 0 - vX_[9016];
+ vX_[1079] = vX_[1079] * vX_[2013];
+ vX_[1481] = vX_[1079] * vX_[167];
+ vX_[1085] = vX_[1085] * vX_[2013];
+ vX_[1479] = 0 - vX_[1085];
+ vX_[1475] = vX_[1479] * vX_[169];
+ vX_[1090] = vX_[1090] * vX_[2013];
+ vX_[1267] = vX_[1267] * vX_[2025];
+ vX_[1322] = vX_[1322] * vX_[2018];
+ vX_[1472] = vX_[1322] * vX_[169];
+ vX_[1447] = vX_[1322] * vX_[167];
+ vX_[1445] = 0 - vX_[1447];
+ vX_[1287] = vX_[1287] * vX_[1124];
+ vX_[1439] = vX_[1287] * vX_[167];
+ vX_[1330] = vX_[1330] * vX_[2018];
+ vX_[1434] = vX_[1330] * vX_[169];
+ vX_[1433] = vX_[1330] * vX_[167];
+ vX_[1289] = vX_[1289] * vX_[1124];
+ vX_[1427] = 0 - vX_[1289];
+ vX_[1425] = vX_[1427] * vX_[169];
+ vX_[1421] = vX_[1079] + vX_[1287];
+ vX_[1289] = vX_[1085] + vX_[1289];
+ vX_[1085] = vX_[1421] * vX_[169] + vX_[1289] * vX_[167];
+ vX_[1280] = vX_[1280] * vX_[2025] + vX_[1131] * vX_[2018];
+ vX_[1131] = 0 - vX_[1280];
+ vX_[1418] = 0 - vX_[1280];
+ vX_[1412] = vX_[1418] * vX_[169];
+ vX_[1409] = vX_[1280] * vX_[167];
+ vX_[1398] = 0 - vX_[1522];
+ vX_[1393] = vX_[1292] * x_in[18] + vX_[1398] * x_in[20];
+ vX_[1392] = 0 - vX_[1393];
+ vX_[338] = vX_[1393] * vX_[167];
+ vX_[337] = vX_[1292] * x_in[30];
+ vX_[336] = vX_[337] * vX_[167];
+ vX_[335] = vX_[1527] * x_in[32];
+ vX_[334] = vX_[335] * vX_[169];
+ vX_[327] = vX_[335] * vX_[167];
+ vX_[326] = vX_[1527] * x_in[31];
+ vX_[306] = vX_[337] * vX_[169];
+ vX_[305] = vX_[326] * vX_[169];
+ vX_[303] = vX_[326] * vX_[167];
+ vX_[291] = vX_[1339] * vX_[1246];
+ vX_[296] = 0 - vX_[291];
+ vX_[295] = 0 - vX_[1393];
+ vX_[294] = 0 - vX_[291];
+ vX_[293] = vX_[295] * vX_[169] + vX_[294] * vX_[169];
+ vX_[292] = vX_[291] * vX_[167];
+ vX_[290] = cos(x_in[12]);
+ jac[450] =
+ 0 -
+ (0 - (vX_[738] * vX_[1621] + vX_[1032] * x_in[22]) +
+ (vX_[669] * vX_[1621] + vX_[2861] * vX_[249] + vX_[1032] * x_in[20]) * 0.3735 -
+ (vX_[714] * vX_[4058] + vX_[4491] * x_in[23]) + (vX_[673] * vX_[4058] + vX_[4491] * x_in[19]) * -0.3735 +
+ (vX_[162] * vX_[4058] +
+ (vX_[426] * vX_[530] + vX_[1502] * vX_[583] + vX_[2021] * vX_[262] + vX_[538] * vX_[264] +
+ vX_[1368] * vX_[234] + vX_[9058] * vX_[243] + vX_[8596] * vX_[246] + vX_[2051] * vX_[263] +
+ vX_[1508] * vX_[252] + vX_[2049] * vX_[528] + vX_[1502] * vX_[580] + vX_[1430] * vX_[205] +
+ vX_[1460] * vX_[535]) *
+ -1 +
+ vX_[4491] * x_in[18]) *
+ -0.207 -
+ (vX_[669] * vX_[1314] + vX_[673] * vX_[1268] + vX_[1547] * vX_[707] + vX_[1616] * vX_[705] +
+ vX_[1116] * vX_[703] + vX_[1109] * vX_[588] + vX_[9014] * vX_[252] + vX_[9009] * vX_[692] +
+ vX_[9008] * vX_[161] + vX_[1643] * vX_[234] + vX_[1208] * vX_[671] + vX_[1596] * vX_[646] +
+ vX_[1383] * vX_[270] + vX_[1466] * vX_[260] + vX_[1345] * vX_[672] + vX_[9037] * vX_[649] +
+ vX_[9042] * vX_[647] + vX_[9031] * vX_[582] + vX_[1607] * vX_[648] + vX_[2057] * vX_[645] +
+ vX_[5370] * vX_[259] + vX_[1384] * vX_[269] + vX_[2493] * vX_[589] + vX_[4394] * vX_[587] +
+ vX_[840] * vX_[585] + vX_[1556] * vX_[626] + vX_[4492] * vX_[627] + vX_[7158] * vX_[536] +
+ vX_[9057] * vX_[532] + vX_[9000] * vX_[584] + vX_[2861] * vX_[250] + vX_[1534] * x_in[19] +
+ vX_[1565] * x_in[20]) +
+ vX_[1064] * vX_[2013] + vX_[1286] * vX_[1124] + vX_[9332] * vX_[166] + vX_[830] * vX_[166] +
+ (0 - vX_[1319]) * 0.3735 + vX_[1319] * vX_[166] * -0.35 + vX_[1627] * 0.35 + vX_[1627] * vX_[186] * 0.08 +
+ vX_[1627] * vX_[166] * 0.3735 + vX_[1348] * vX_[186] * 0.3735 + vX_[9029] * vX_[186] * 0.207 +
+ vX_[307] * vX_[166] + vX_[2045] * vX_[186] * 0.3735 + vX_[1237] * 0.35 +
+ (vX_[298] * vX_[166] + vX_[1237] * vX_[186]) * 0.08 + vX_[1237] * vX_[166] * 0.3735 +
+ (vX_[311] * vX_[166] + vX_[1440] * vX_[186]) * 0.207 + vX_[1063] * vX_[166] * 0.207 + vX_[1304] * vX_[186] +
+ vX_[1084] * vX_[166] + (vX_[1594] * vX_[166] - vX_[1291]) * 0.08 + vX_[1132] * vX_[186] * 0.35 +
+ vX_[9053] * vX_[186] * 0.33 + vX_[1528] * vX_[166] * 0.33 + (0 - vX_[1515]) * 0.08 +
+ vX_[1513] * vX_[186] * 0.35 + vX_[1509] * vX_[186] * 0.33 + vX_[1507] * vX_[166] * 0.33 +
+ vX_[1102] * vX_[166] * 0.33 + vX_[1600] * vX_[186] * 0.33 + vX_[420] * vX_[166] * 0.35 +
+ (0 - vX_[1470]) * 0.08 + vX_[1589] * vX_[186] * 0.35 +
+ (vX_[1590] * vX_[166] + vX_[2096] * vX_[186]) * 0.33 +
+ (vX_[8859] * vX_[186] + vX_[2028] * vX_[166]) * 0.33 + (0 - vX_[2022]) * 0.08 +
+ vX_[1506] * vX_[186] * 0.35 + vX_[1494] * vX_[186] * 0.33 + vX_[1490] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[714] * vX_[1621] + vX_[669] * vX_[1268] + vX_[1547] * vX_[703] + vX_[1109] * vX_[252] +
+ vX_[9005] * vX_[161] + vX_[9009] * vX_[234] + vX_[1596] * vX_[649] + vX_[1383] * vX_[260] +
+ vX_[1345] * vX_[671] + vX_[9042] * vX_[648] + vX_[9031] * vX_[645] + vX_[5370] * vX_[269] +
+ vX_[2493] * vX_[585] + vX_[1556] * vX_[627] + vX_[1395] * vX_[532] + vX_[7158] * vX_[584] +
+ (vX_[1455] * vX_[581] + vX_[9056] * vX_[214] + vX_[1404] * vX_[264] + vX_[1662] * vX_[238] +
+ vX_[8996] * vX_[253] + vX_[1487] * vX_[237] + vX_[379] * vX_[246] + vX_[1485] * vX_[234] +
+ vX_[391] * vX_[252] + vX_[1605] * vX_[263] + vX_[1455] * vX_[577] + vX_[9020] * vX_[527] +
+ vX_[1404] * vX_[268] + vX_[8996] * vX_[524]) *
+ 0.207 +
+ vX_[1032] * x_in[23] + vX_[1534] * x_in[20] +
+ (vX_[673] * vX_[1621] + vX_[2861] * vX_[247] + vX_[1032] * x_in[19]) * 0.3735 +
+ (vX_[162] * vX_[1621] + vX_[1032] * x_in[18]) * 0.207 - (vX_[738] * vX_[4058] + vX_[4491] * x_in[22]) +
+ (vX_[669] * vX_[4058] + vX_[4491] * x_in[20]) * 0.3735 -
+ (vX_[673] * vX_[1314] + vX_[1616] * vX_[704] + vX_[1116] * vX_[707] + vX_[9016] * vX_[588] +
+ vX_[9008] * vX_[234] + vX_[1646] * vX_[692] + vX_[1208] * vX_[672] + vX_[1466] * vX_[270] +
+ vX_[9037] * vX_[646] + vX_[1607] * vX_[647] + vX_[2057] * vX_[582] + vX_[1384] * vX_[259] +
+ vX_[4394] * vX_[586] + vX_[840] * vX_[589] + vX_[4499] * vX_[626] + vX_[9057] * vX_[584] +
+ vX_[1312] * vX_[536] + vX_[2861] * vX_[248] + vX_[1565] * x_in[19]) -
+ vX_[1313] * vX_[2018] + vX_[1481] * vX_[186] + vX_[1475] * vX_[186] + (0 - vX_[1090]) * 0.3735 +
+ vX_[1090] * vX_[166] * -0.35 + (0 - vX_[1267]) * 0.207 - vX_[1110] * vX_[2015] + (0 - vX_[1472]) * 0.35 +
+ (0 - vX_[1472] * vX_[186]) * 0.08 + vX_[1472] * vX_[166] * -0.3735 + vX_[1445] * vX_[186] * 0.3735 +
+ vX_[1447] * vX_[166] * 0.08 + vX_[1439] * vX_[186] + vX_[1434] * vX_[186] * 0.3735 +
+ (0 - vX_[1434] * vX_[166]) * 0.08 + (0 - vX_[1433]) * 0.35 + (0 - vX_[1433] * vX_[186]) * 0.08 +
+ vX_[1433] * vX_[166] * -0.3735 + vX_[1425] * vX_[186] + vX_[1085] * vX_[166] + vX_[1131] * vX_[186] * 0.35 +
+ vX_[1412] * vX_[186] * 0.33 + vX_[1409] * vX_[166] * 0.33 + (0 - vX_[1393]) * 0.08 +
+ vX_[1392] * vX_[186] * 0.35 + vX_[338] * vX_[166] * 0.33 + (0 - vX_[1280] + vX_[337]) * 0.08 +
+ vX_[337] * vX_[186] * 0.35 + vX_[336] * vX_[166] * -0.33 + vX_[334] * vX_[166] * 0.33 +
+ vX_[327] * vX_[186] * 0.33 + vX_[326] * vX_[166] * 0.35 +
+ (vX_[306] * vX_[186] + vX_[305] * vX_[166]) * 0.33 + vX_[303] * vX_[186] * 0.33 + (0 - vX_[291]) * 0.08 +
+ vX_[296] * vX_[186] * 0.35 + vX_[293] * vX_[186] * 0.33 + vX_[292] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[1116] = vX_[2235] * 0.881 + (0 - vX_[2237]) * -0.000881;
+ vX_[1616] = vX_[2233] * -0.881;
+ vX_[1547] = vX_[2237] * 0.110125;
+ vX_[1662] = vX_[1616] - vX_[1547];
+ vX_[2021] = vX_[1116] * vX_[2915] + vX_[1662] * vX_[963];
+ vX_[2861] = vX_[2225] * 3.146 + (0 - vX_[2226]) * 0.0825825;
+ vX_[9056] = vX_[2224] * -3.146;
+ vX_[4492] = vX_[2226] * 0.47422804;
+ vX_[1607] = vX_[9056] - vX_[4492];
+ vX_[9042] = vX_[2021] + vX_[2861] * vX_[775] + vX_[1607] * vX_[1018];
+ vX_[426] = vX_[2213] * 3.44 + vX_[2216] * -0.5824264;
+ vX_[4499] = 0 - vX_[426];
+ vX_[1556] = vX_[2207] * 3.44 + (0 - vX_[2216]) * 0.1466472;
+ vX_[2057] = vX_[2207] * vX_[252] + vX_[2179] * vX_[234] + vX_[2213] * vX_[243] + vX_[2216] * vX_[528] +
+ vX_[2218] * vX_[580];
+ vX_[9037] = vX_[9042] * -1 + vX_[4499] * vX_[4087] + vX_[1556] * vX_[3807] + vX_[2057] * x_in[30];
+ vX_[1596] = vX_[3733] - vX_[2923];
+ vX_[9031] = vX_[2118] + vX_[3678];
+ vX_[1345] = vX_[1596] * vX_[249] + vX_[9031] * vX_[247];
+ vX_[1208] = vX_[1544] - vX_[2923];
+ vX_[538] = vX_[1208] * vX_[249];
+ vX_[1384] = vX_[1596] * vX_[235] + vX_[9031] * vX_[249];
+ vX_[1383] = vX_[1208] * vX_[247];
+ vX_[5370] = vX_[1384] + vX_[1383];
+ vX_[1466] = vX_[1345] * vX_[235] + vX_[538] * vX_[247] + vX_[5370] * vX_[249];
+ vX_[9000] = 0 - vX_[1466];
+ vX_[1312] = vX_[2923] + vX_[1384] * vX_[235] + vX_[538] * vX_[249];
+ vX_[1395] = 0 - vX_[1312];
+ vX_[9057] = vX_[2923] + vX_[1345] * vX_[249] + vX_[1383] * vX_[247];
+ vX_[4394] = vX_[1883] + vX_[1503];
+ vX_[7158] = vX_[1234] + vX_[2119] - vX_[4394];
+ vX_[840] = vX_[3036] + vX_[9099];
+ vX_[2493] = 0 - (vX_[2109] + vX_[2120]) + vX_[840];
+ vX_[1313] = (vX_[840] * vX_[235] + vX_[4394] * vX_[249]) * -1;
+ vX_[1286] = 0 - (vX_[7158] * vX_[249] + vX_[2493] * vX_[247]) + vX_[1313];
+ vX_[1110] = vX_[1286] + vX_[1312] * vX_[236];
+ vX_[1064] = 0 - vX_[1110];
+ vX_[289] = (vX_[840] * vX_[249] + vX_[4394] * vX_[247]) * -1;
+ vX_[283] = vX_[7158] * vX_[235] + vX_[2493] * vX_[249] + vX_[289];
+ vX_[287] = 0 - vX_[9057];
+ vX_[286] = vX_[283] + vX_[1466] * vX_[236] + vX_[287] * vX_[165];
+ vX_[285] = vX_[2112] + vX_[3691];
+ vX_[284] = vX_[2108] + vX_[3484];
+ vX_[282] = vX_[285] * vX_[247] + vX_[284] * vX_[249];
+ vX_[281] = vX_[1685] + vX_[2122];
+ vX_[280] = vX_[1886] + vX_[3695];
+ vX_[279] = vX_[281] * vX_[249] + vX_[280] * vX_[247];
+ vX_[278] = vX_[282] * vX_[235] + vX_[279] * vX_[249];
+ vX_[277] = vX_[2127] + vX_[1733];
+ vX_[275] = vX_[1243] + vX_[1569];
+ vX_[1144] = 0 - vX_[275];
+ vX_[9004] = vX_[277] * vX_[249] + vX_[1144] * vX_[247];
+ vX_[321] = 0 - vX_[9004];
+ vX_[317] = vX_[278] + vX_[321] * vX_[165] + vX_[1395] * vX_[251];
+ vX_[1232] = 0 - vX_[317];
+ vX_[920] = vX_[285] * vX_[249] + vX_[284] * vX_[235];
+ vX_[924] = vX_[281] * vX_[235] + vX_[280] * vX_[249];
+ vX_[1154] = vX_[920] * vX_[249] + vX_[924] * vX_[247];
+ vX_[275] = 0 - vX_[275];
+ vX_[1631] = vX_[277] * vX_[235] + vX_[275] * vX_[249];
+ vX_[9015] = 0 - vX_[1631];
+ vX_[9013] = vX_[1154] + vX_[9015] * vX_[236] + vX_[9057] * vX_[251];
+ vX_[9012] = vX_[920] * vX_[235] + vX_[924] * vX_[249];
+ vX_[9011] = vX_[9012] + vX_[9004] * vX_[236];
+ vX_[9010] = vX_[282] * vX_[249] + vX_[279] * vX_[247];
+ vX_[344] = vX_[9010] + vX_[1631] * vX_[165] + vX_[9000] * vX_[251];
+ vX_[340] = 0 - vX_[9011] + vX_[344];
+ vX_[312] = 0 - vX_[1466];
+ vX_[301] = 0 - vX_[1312];
+ vX_[1395] = vX_[9000] * vX_[583] + vX_[1395] * vX_[530] + vX_[9057] * vX_[214] + vX_[1064] * vX_[252] +
+ vX_[286] * vX_[263] + vX_[1232] * vX_[243] + vX_[9013] * vX_[237] + vX_[340] * vX_[234] +
+ vX_[312] * vX_[580] + vX_[1466] * vX_[577] + vX_[301] * vX_[529] + vX_[9057] * vX_[533];
+ vX_[9000] = 0 - vX_[1116];
+ vX_[1031] = vX_[2222] * 0.881 + (0 - vX_[2239]) * 0.110125 + vX_[2241] * -0.000881;
+ vX_[995] = vX_[2233] * -0.00370574557885489 + vX_[2235] * 0.880970354035369;
+ vX_[9168] = vX_[9000] * vX_[789] + vX_[1031] * vX_[963] + vX_[995] * x_in[32];
+ vX_[1547] = 0 - vX_[1616] + vX_[1547];
+ vX_[1616] = 0 - vX_[1031];
+ vX_[1156] = vX_[2233] * 0.417781802643138 + vX_[2235] * -0.00370574557885489;
+ vX_[8604] = vX_[1547] * vX_[789] + vX_[1616] * vX_[2915] - vX_[1156] * x_in[32];
+ vX_[9156] = 0 - vX_[2861];
+ vX_[9150] = vX_[2220] * 3.146 + (0 - vX_[2221]) * 0.47422804 + vX_[2231] * 0.0825825;
+ vX_[8584] = vX_[2224] * vX_[211] + vX_[2225] * vX_[210] + vX_[2221] * vX_[187] + vX_[2231] * vX_[185];
+ vX_[8589] = vX_[9168] * vX_[169] + vX_[8604] * vX_[167] + vX_[9156] * vX_[816] + vX_[9150] * vX_[1018] +
+ vX_[8584] * x_in[31];
+ vX_[4492] = 0 - vX_[9056] + vX_[4492];
+ vX_[9056] = 0 - vX_[9150];
+ vX_[4133] = vX_[2224] * vX_[209] + vX_[2225] * vX_[211] + vX_[2221] * vX_[193] + vX_[2231] * vX_[192];
+ vX_[8162] = vX_[9168] * vX_[1069] + vX_[8604] * vX_[169] + vX_[4492] * vX_[816] + vX_[9056] * vX_[775] -
+ vX_[4133] * x_in[31];
+ vX_[8155] = vX_[2179] * -3.44;
+ vX_[616] = vX_[2203] * 0.1466472;
+ vX_[8552] = vX_[2218] * -0.5824264;
+ vX_[1259] = 0 - vX_[8155] + vX_[616] - vX_[8552];
+ vX_[8175] = 0 - vX_[1556];
+ vX_[1624] = vX_[2207] * vX_[263] + vX_[2179] * vX_[237] + vX_[2213] * vX_[234] + vX_[2216] * vX_[577] +
+ vX_[2218] * vX_[527];
+ vX_[9246] = vX_[8589] * vX_[1065] + vX_[8162] * vX_[186] + vX_[1259] * vX_[4087] + vX_[8175] * vX_[824] -
+ vX_[1624] * x_in[30];
+ vX_[9142] = vX_[3733] + vX_[1544] + vX_[2923] - vX_[1312] - vX_[9057];
+ vX_[8267] = 0 - vX_[9142];
+ vX_[1313] = vX_[1313] + vX_[8267] * vX_[236];
+ vX_[289] = vX_[289] + vX_[9142] * vX_[165];
+ vX_[9160] = 0 - vX_[286];
+ vX_[8580] = 0 - vX_[9013];
+ vX_[7998] = vX_[1469] + vX_[1552] + vX_[284] + vX_[280] - vX_[9012] - vX_[9010];
+ vX_[344] = vX_[7998] - vX_[344];
+ vX_[9136] = 0 - vX_[9004];
+ vX_[8586] = 0 - vX_[1466];
+ vX_[2847] = 0 - vX_[9057];
+ vX_[1191] = vX_[3668] - vX_[2121];
+ vX_[9161] = vX_[708] - vX_[2121];
+ vX_[8587] = vX_[2115] + vX_[3687];
+ vX_[9146] = vX_[2113] + vX_[685];
+ vX_[9157] = vX_[2111] + vX_[1542];
+ vX_[4127] = 0 - vX_[9157];
+ vX_[8190] = vX_[1191] * vX_[249] + vX_[8587] * vX_[247];
+ vX_[9241] = vX_[9161] * vX_[249];
+ vX_[8647] = vX_[1191] * vX_[235] + vX_[8587] * vX_[249];
+ vX_[8646] = vX_[9161] * vX_[247];
+ vX_[9165] = vX_[8647] + vX_[8646];
+ vX_[2754] = vX_[2222] * -0.000881 + vX_[2241] * -0.000227999999999999;
+ vX_[9322] = vX_[2222] * 0.110125 + (0 - vX_[2239]) * 0.025713;
+ vX_[9163] = (0 - vX_[2233]) * -0.000881;
+ vX_[8253] = (0 - vX_[2235]) * 0.110125;
+ vX_[8621] = vX_[9163] + vX_[8253];
+ vX_[8621] = vX_[9000] * vX_[1930] + vX_[1547] * vX_[2925] + vX_[2754] * vX_[2915] + vX_[9322] * vX_[963] +
+ vX_[8621] * vX_[789] + vX_[8621] * vX_[789];
+ vX_[1547] = vX_[2220] * 0.0825825 + (0 - vX_[2226]) * -0.000102 + vX_[2221] * -0.007418 + vX_[2231] * 0.002735;
+ vX_[9000] = vX_[2220] * 0.47422804 + vX_[2226] * 2.1e-05 + (0 - vX_[2221]) * 0.084376 + (0 - vX_[2231]) * -0.007418;
+ vX_[8620] = (0 - vX_[2224]) * 0.0825825;
+ vX_[8626] = (0 - vX_[2225]) * 0.47422804;
+ vX_[8627] = vX_[2221] * -0.000102;
+ vX_[7834] = (0 - vX_[2231]) * 2.1e-05;
+ vX_[2000] = vX_[8620] + vX_[8626] + vX_[8627] + vX_[7834];
+ vX_[2000] = vX_[8621] + vX_[9168] * vX_[1077] + vX_[8604] * vX_[168] + vX_[9156] * vX_[797] +
+ vX_[4492] * vX_[2924] + vX_[1547] * vX_[775] + vX_[9000] * vX_[1018] + vX_[2000] * vX_[816] +
+ vX_[2000] * vX_[816];
+ vX_[4492] = vX_[2179] * -0.5824264 + (0 - vX_[2203]) * 0.022734 + vX_[2216] * 3.6e-05 + vX_[2218] * -0.133138;
+ vX_[9156] = vX_[2179] * 0.1466472 + vX_[2203] * 0.009466 + (0 - vX_[2216]) * -5.1e-05 + vX_[2218] * 0.022734;
+ vX_[1976] = (0 - vX_[2207]) * -0.5824264;
+ vX_[1660] = (0 - vX_[2213]) * 0.1466472;
+ vX_[1664] = (0 - vX_[2203]) * 3.6e-05;
+ vX_[1347] = (0 - vX_[2218]) * -5.1e-05;
+ vX_[1036] = vX_[1976] + vX_[1660] + vX_[1664] - vX_[1347];
+ vX_[8631] = vX_[2207] * vX_[268] + vX_[2179] * vX_[527] + vX_[2213] * vX_[580] + vX_[2216] * vX_[579] +
+ vX_[2218] * vX_[231];
+ vX_[1036] = vX_[8589] * vX_[1066] + vX_[8162] * vX_[201] + vX_[2000] * -1 + vX_[426] * vX_[3339] +
+ vX_[8175] * vX_[806] + vX_[4492] * vX_[4087] + vX_[9156] * vX_[3807] + vX_[1036] * vX_[824] +
+ vX_[1036] * vX_[824] + vX_[8631] * x_in[30];
+ vX_[2237] = vX_[2233] * 0.110125 + vX_[2235] * -0.000881 + vX_[2237] * 0.025941;
+ vX_[2241] = vX_[2222] * -0.000881 + vX_[2241] * 0.000468;
+ vX_[8253] = vX_[1116] * vX_[812] + vX_[1616] * vX_[2925] + vX_[2754] * vX_[789] + vX_[2237] * vX_[963] +
+ vX_[8253] * vX_[2915] + vX_[8253] * vX_[2915] + vX_[2241] * x_in[32];
+ vX_[2239] = vX_[2222] * -0.110125 + vX_[2239] * 0.026409;
+ vX_[2237] = vX_[1662] * vX_[812] + vX_[1031] * vX_[1930] + vX_[9322] * vX_[789] + vX_[2237] * vX_[2915] +
+ vX_[9163] * vX_[963] + vX_[9163] * vX_[963] - vX_[2239] * x_in[32];
+ vX_[9163] = vX_[2224] * 0.47422804 + vX_[2225] * 0.0825825 + vX_[2226] * 0.081641 + (0 - vX_[2221]) * 2.1e-05 +
+ vX_[2231] * -0.000102;
+ vX_[9322] = (0 - vX_[2226]) * -0.007418;
+ vX_[7834] = vX_[8626] + vX_[9322] - vX_[7834];
+ vX_[8626] = vX_[2220] * vX_[180] + vX_[2224] * vX_[192] + vX_[2225] * vX_[185] + vX_[2221] * vX_[226] +
+ vX_[2231] * vX_[222];
+ vX_[7834] = vX_[2021] * -0.35 + vX_[8253] * vX_[169] + vX_[2237] * vX_[167] + vX_[2861] * vX_[968] +
+ vX_[9056] * vX_[2924] + vX_[1547] * vX_[816] + vX_[9163] * vX_[1018] + vX_[7834] * vX_[775] +
+ vX_[7834] * vX_[775] + vX_[8626] * x_in[31];
+ vX_[9322] = vX_[8620] - vX_[9322] - vX_[8627];
+ vX_[8627] = vX_[2220] * vX_[189] + vX_[2224] * vX_[193] + vX_[2225] * vX_[187] + vX_[2221] * vX_[220] +
+ vX_[2231] * vX_[226];
+ vX_[9322] = vX_[8253] * vX_[175] + vX_[2237] * vX_[169] + vX_[1607] * vX_[968] + vX_[9150] * vX_[797] +
+ vX_[9000] * vX_[816] + vX_[9163] * vX_[775] + vX_[9322] * vX_[1018] + vX_[9322] * vX_[1018] -
+ vX_[8627] * x_in[31];
+ vX_[8552] = vX_[8155] - vX_[616] + vX_[8552];
+ vX_[616] = vX_[2207] * 0.1466472 + vX_[2213] * -0.5824264 + vX_[2203] * -5.1e-05 + (0 - vX_[2216]) * -0.123672 +
+ (0 - vX_[2218]) * 3.6e-05;
+ vX_[8155] = vX_[2216] * 0.022734;
+ vX_[1664] = vX_[1976] - vX_[1664] - vX_[8155];
+ vX_[1976] = vX_[2207] * vX_[205] + vX_[2179] * vX_[577] + vX_[2213] * vX_[528] + vX_[2216] * vX_[526] +
+ vX_[2218] * vX_[579];
+ vX_[1664] = vX_[7834] * vX_[195] + vX_[9322] * vX_[186] + vX_[8552] * vX_[3339] + vX_[1556] * vX_[3838] +
+ vX_[616] * vX_[4087] + vX_[9156] * vX_[824] + vX_[1664] * vX_[3807] + vX_[1664] * vX_[3807] -
+ vX_[1976] * x_in[30];
+ vX_[2268] = vX_[2268] * vX_[2018];
+ vX_[9156] = vX_[2268] * vX_[169];
+ vX_[2269] = vX_[2269] * vX_[2018];
+ vX_[1556] = vX_[2269] * vX_[167];
+ vX_[2270] = vX_[2270] * vX_[2018];
+ vX_[2240] = vX_[2240] * vX_[2013];
+ vX_[9163] = vX_[2240] * vX_[169];
+ vX_[9000] = vX_[2240] * vX_[167];
+ vX_[2256] = vX_[2256] * vX_[2025];
+ vX_[9150] = vX_[2256] * vX_[167];
+ vX_[2244] = vX_[2244] * vX_[2015];
+ vX_[1607] = vX_[2244] * vX_[169];
+ vX_[2242] = vX_[2242] * vX_[2013];
+ vX_[8620] = vX_[2242] * vX_[169];
+ vX_[1547] = 0 - vX_[8620];
+ vX_[9056] = vX_[2242] * vX_[167];
+ vX_[2861] = 0 - vX_[9000];
+ vX_[2021] = vX_[2256] * vX_[169];
+ vX_[2257] = vX_[2257] * vX_[2025];
+ vX_[1031] = 0 - vX_[2257];
+ vX_[1662] = vX_[1031] * vX_[169];
+ vX_[2222] = vX_[2257] * vX_[167];
+ vX_[2754] = vX_[2268] + vX_[2244];
+ vX_[2245] = vX_[2245] * vX_[2015];
+ vX_[1616] = 0 - vX_[2269] - vX_[2245];
+ vX_[1116] = vX_[2754] * vX_[167] + vX_[1616] * vX_[169];
+ vX_[2235] = vX_[2245] * vX_[167];
+ vX_[2262] = vX_[2262] * vX_[2025] + vX_[2250] * vX_[2013];
+ vX_[2250] = 0 - vX_[2262];
+ vX_[2233] = 0 - vX_[2262];
+ vX_[8175] = vX_[2233] * vX_[169];
+ vX_[2876] = vX_[2262] * vX_[167];
+ vX_[8634] = vX_[2263] * vX_[1209] + vX_[2449] * vX_[1159] + vX_[2452] * vX_[1194];
+ vX_[2677] = 0 - vX_[8634];
+ vX_[8645] = vX_[2263] * vX_[1294] + vX_[2449] * vX_[1195] + vX_[2452] * vX_[1153];
+ vX_[8633] = vX_[2677] * x_in[18] + vX_[8645] * x_in[19];
+ vX_[8644] = 0 - vX_[8633];
+ vX_[8609] = 0 - vX_[8633];
+ vX_[8607] = vX_[8609] * vX_[169];
+ vX_[8770] = vX_[8633] * vX_[167];
+ vX_[2263] = vX_[2263] * vX_[1192] + vX_[2449] * vX_[1210] + vX_[2452] * vX_[1295];
+ jac[1135] = vX_[4133] * vX_[1119] + vX_[8584] * vX_[797] + vX_[8627] * vX_[2026] + vX_[8626] * vX_[775] +
+ vX_[2000] + vX_[2263] * vX_[1214] + vX_[8634] * vX_[1165] + vX_[8645] * vX_[1198];
+ jac[1171] = vX_[1156] * vX_[1968] + vX_[995] * vX_[1930] + vX_[2239] * vX_[1653] + vX_[2241] * vX_[2915] +
+ vX_[8621] + vX_[2263] * vX_[1225] + vX_[8634] * vX_[1176] + vX_[8645] * vX_[1199];
+ vX_[2239] = vX_[2263] * x_in[32];
+ vX_[2241] = vX_[2239] * vX_[169];
+ vX_[8621] = vX_[2239] * vX_[167];
+ vX_[1156] = vX_[2263] * x_in[31];
+ vX_[995] = vX_[8634] * x_in[30];
+ vX_[8627] = 0 - vX_[995];
+ vX_[8626] = vX_[1156] * vX_[169];
+ vX_[2000] = 0 - vX_[995];
+ vX_[4133] = vX_[2000] * vX_[169];
+ vX_[8584] = vX_[1156] * vX_[167];
+ vX_[2452] = vX_[995] * vX_[167];
+ vX_[2449] = vX_[2274] * vX_[1180];
+ vX_[8653] = 0 - vX_[2449];
+ vX_[8662] = 0 - vX_[2449];
+ vX_[9227] = vX_[8662] * vX_[169];
+ vX_[8612] = vX_[2449] * vX_[167];
+ vX_[8220] = 0 - vX_[1313];
+ vX_[2882] = 0 - vX_[289];
+ vX_[7998] = 0 - vX_[7998] + vX_[9011];
+ vX_[9011] = 0 - vX_[1631];
+ vX_[9157] = 0 - vX_[9157];
+ vX_[2234] = vX_[2234] * vX_[2013];
+ vX_[1845] = vX_[2234] * vX_[167];
+ vX_[2236] = vX_[2236] * vX_[2013];
+ vX_[8635] = 0 - vX_[2236];
+ vX_[8595] = vX_[8635] * vX_[169];
+ vX_[2238] = vX_[2238] * vX_[2013];
+ vX_[2255] = vX_[2255] * vX_[2025];
+ vX_[2271] = vX_[2271] * vX_[2018];
+ vX_[8618] = vX_[2271] * vX_[169];
+ vX_[8608] = vX_[2271] * vX_[167];
+ vX_[8617] = 0 - vX_[8608];
+ vX_[2260] = vX_[2260] * vX_[1124];
+ vX_[9243] = vX_[2260] * vX_[167];
+ vX_[2272] = vX_[2272] * vX_[2018];
+ vX_[8630] = vX_[2272] * vX_[169];
+ vX_[4117] = vX_[2272] * vX_[167];
+ vX_[2261] = vX_[2261] * vX_[1124];
+ vX_[8615] = 0 - vX_[2261];
+ vX_[8629] = vX_[8615] * vX_[169];
+ vX_[8613] = vX_[2234] + vX_[2260];
+ vX_[2261] = vX_[2236] + vX_[2261];
+ vX_[2236] = vX_[8613] * vX_[169] + vX_[2261] * vX_[167];
+ vX_[2258] = vX_[2258] * vX_[2025] + vX_[2249] * vX_[2018];
+ vX_[2249] = 0 - vX_[2258];
+ vX_[8642] = 0 - vX_[2258];
+ vX_[8641] = vX_[8642] * vX_[169];
+ vX_[5378] = vX_[2258] * vX_[167];
+ vX_[1554] = 0 - vX_[8645];
+ vX_[9083] = vX_[2263] * x_in[18] + vX_[1554] * x_in[20];
+ vX_[8167] = 0 - vX_[9083];
+ vX_[8605] = vX_[9083] * vX_[167];
+ vX_[8603] = vX_[2263] * x_in[30];
+ vX_[8598] = vX_[8603] * vX_[167];
+ vX_[8597] = vX_[8634] * x_in[32];
+ vX_[8594] = vX_[8597] * vX_[169];
+ vX_[8593] = vX_[8597] * vX_[167];
+ vX_[8602] = vX_[8634] * x_in[31];
+ vX_[8601] = vX_[8603] * vX_[169];
+ vX_[8600] = vX_[8602] * vX_[169];
+ vX_[8599] = vX_[8602] * vX_[167];
+ vX_[8160] = vX_[2274] * vX_[1246];
+ vX_[559] = 0 - vX_[8160];
+ vX_[7743] = 0 - vX_[9083];
+ vX_[7736] = 0 - vX_[8160];
+ vX_[464] = vX_[7743] * vX_[169] + vX_[7736] * vX_[169];
+ vX_[8123] = vX_[8160] * vX_[167];
+ jac[451] =
+ 0 -
+ (0 - (vX_[2114] * vX_[1621] + vX_[9037] * x_in[22]) +
+ (vX_[2123] * vX_[1621] + vX_[1395] * vX_[249] + vX_[9037] * x_in[20]) * 0.3735 -
+ (vX_[2116] * vX_[4058] + vX_[9246] * x_in[23]) + (vX_[2128] * vX_[4058] + vX_[9246] * x_in[19]) * -0.3735 +
+ (vX_[2134] * vX_[4058] +
+ (vX_[321] * vX_[530] + vX_[1631] * vX_[583] + vX_[9142] * vX_[262] + vX_[287] * vX_[264] +
+ vX_[1313] * vX_[234] + vX_[289] * vX_[243] + vX_[9160] * vX_[246] + vX_[8580] * vX_[263] +
+ vX_[344] * vX_[252] + vX_[9136] * vX_[528] + vX_[1631] * vX_[580] + vX_[8586] * vX_[205] +
+ vX_[2847] * vX_[535]) *
+ -1 +
+ vX_[9246] * x_in[18]) *
+ -0.207 -
+ (vX_[2123] * vX_[1314] + vX_[2128] * vX_[1268] + vX_[1191] * vX_[707] + vX_[9161] * vX_[705] +
+ vX_[8587] * vX_[703] + vX_[9146] * vX_[588] + vX_[4127] * vX_[252] + vX_[8190] * vX_[692] +
+ vX_[9241] * vX_[161] + vX_[9165] * vX_[234] + vX_[285] * vX_[671] + vX_[281] * vX_[646] +
+ vX_[840] * vX_[270] + vX_[4394] * vX_[260] + vX_[284] * vX_[672] + vX_[280] * vX_[649] +
+ vX_[920] * vX_[647] + vX_[282] * vX_[582] + vX_[924] * vX_[648] + vX_[279] * vX_[645] +
+ vX_[7158] * vX_[259] + vX_[2493] * vX_[269] + vX_[1596] * vX_[589] + vX_[1208] * vX_[587] +
+ vX_[9031] * vX_[585] + vX_[277] * vX_[626] + vX_[275] * vX_[627] + vX_[1345] * vX_[536] +
+ vX_[538] * vX_[532] + vX_[5370] * vX_[584] + vX_[1395] * vX_[250] + vX_[1036] * x_in[19] +
+ vX_[1664] * x_in[20]) +
+ vX_[2223] * vX_[2013] + vX_[2259] * vX_[1124] + vX_[9156] * vX_[166] + vX_[1556] * vX_[166] +
+ (0 - vX_[2270]) * 0.3735 + vX_[2270] * vX_[166] * -0.35 + vX_[9163] * 0.35 + vX_[9163] * vX_[186] * 0.08 +
+ vX_[9163] * vX_[166] * 0.3735 + vX_[9000] * vX_[186] * 0.3735 + vX_[9150] * vX_[186] * 0.207 +
+ vX_[1607] * vX_[166] + vX_[1547] * vX_[186] * 0.3735 + vX_[9056] * 0.35 +
+ (vX_[2861] * vX_[166] + vX_[9056] * vX_[186]) * 0.08 + vX_[9056] * vX_[166] * 0.3735 +
+ (vX_[2021] * vX_[166] + vX_[1662] * vX_[186]) * 0.207 + vX_[2222] * vX_[166] * 0.207 +
+ vX_[1116] * vX_[186] + vX_[2235] * vX_[166] + (vX_[8620] * vX_[166] - vX_[2262]) * 0.08 +
+ vX_[2250] * vX_[186] * 0.35 + vX_[8175] * vX_[186] * 0.33 + vX_[2876] * vX_[166] * 0.33 +
+ (0 - vX_[8633]) * 0.08 + vX_[8644] * vX_[186] * 0.35 + vX_[8607] * vX_[186] * 0.33 +
+ vX_[8770] * vX_[166] * 0.33 + vX_[2241] * vX_[166] * 0.33 + vX_[8621] * vX_[186] * 0.33 +
+ vX_[1156] * vX_[166] * 0.35 + (0 - vX_[995]) * 0.08 + vX_[8627] * vX_[186] * 0.35 +
+ (vX_[8626] * vX_[166] + vX_[4133] * vX_[186]) * 0.33 +
+ (vX_[8584] * vX_[186] + vX_[2452] * vX_[166]) * 0.33 + (0 - vX_[2449]) * 0.08 +
+ vX_[8653] * vX_[186] * 0.35 + vX_[9227] * vX_[186] * 0.33 + vX_[8612] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[2116] * vX_[1621] + vX_[2123] * vX_[1268] + vX_[1191] * vX_[703] + vX_[9146] * vX_[252] +
+ vX_[8647] * vX_[161] + vX_[8190] * vX_[234] + vX_[281] * vX_[649] + vX_[840] * vX_[260] +
+ vX_[284] * vX_[671] + vX_[920] * vX_[648] + vX_[282] * vX_[645] + vX_[7158] * vX_[269] +
+ vX_[1596] * vX_[585] + vX_[277] * vX_[627] + vX_[1384] * vX_[532] + vX_[1345] * vX_[584] +
+ (vX_[9004] * vX_[581] + vX_[9015] * vX_[214] + vX_[1466] * vX_[264] + vX_[8267] * vX_[238] +
+ vX_[1312] * vX_[253] + vX_[8220] * vX_[237] + vX_[1110] * vX_[246] + vX_[2882] * vX_[234] +
+ vX_[317] * vX_[252] + vX_[7998] * vX_[263] + vX_[9004] * vX_[577] + vX_[9011] * vX_[527] +
+ vX_[1466] * vX_[268] + vX_[1312] * vX_[524]) *
+ 0.207 +
+ vX_[9037] * x_in[23] + vX_[1036] * x_in[20] +
+ (vX_[2128] * vX_[1621] + vX_[1395] * vX_[247] + vX_[9037] * x_in[19]) * 0.3735 +
+ (vX_[2134] * vX_[1621] + vX_[9037] * x_in[18]) * 0.207 - (vX_[2114] * vX_[4058] + vX_[9246] * x_in[22]) +
+ (vX_[2123] * vX_[4058] + vX_[9246] * x_in[20]) * 0.3735 -
+ (vX_[2128] * vX_[1314] + vX_[9161] * vX_[704] + vX_[8587] * vX_[707] + vX_[9157] * vX_[588] +
+ vX_[9241] * vX_[234] + vX_[8646] * vX_[692] + vX_[285] * vX_[672] + vX_[4394] * vX_[270] +
+ vX_[280] * vX_[646] + vX_[924] * vX_[647] + vX_[279] * vX_[582] + vX_[2493] * vX_[259] +
+ vX_[1208] * vX_[586] + vX_[9031] * vX_[589] + vX_[1144] * vX_[626] + vX_[538] * vX_[584] +
+ vX_[1383] * vX_[536] + vX_[1395] * vX_[248] + vX_[1664] * x_in[19]) -
+ vX_[2267] * vX_[2018] + vX_[1845] * vX_[186] + vX_[8595] * vX_[186] + (0 - vX_[2238]) * 0.3735 +
+ vX_[2238] * vX_[166] * -0.35 + (0 - vX_[2255]) * 0.207 - vX_[2243] * vX_[2015] + (0 - vX_[8618]) * 0.35 +
+ (0 - vX_[8618] * vX_[186]) * 0.08 + vX_[8618] * vX_[166] * -0.3735 + vX_[8617] * vX_[186] * 0.3735 +
+ vX_[8608] * vX_[166] * 0.08 + vX_[9243] * vX_[186] + vX_[8630] * vX_[186] * 0.3735 +
+ (0 - vX_[8630] * vX_[166]) * 0.08 + (0 - vX_[4117]) * 0.35 + (0 - vX_[4117] * vX_[186]) * 0.08 +
+ vX_[4117] * vX_[166] * -0.3735 + vX_[8629] * vX_[186] + vX_[2236] * vX_[166] + vX_[2249] * vX_[186] * 0.35 +
+ vX_[8641] * vX_[186] * 0.33 + vX_[5378] * vX_[166] * 0.33 + (0 - vX_[9083]) * 0.08 +
+ vX_[8167] * vX_[186] * 0.35 + vX_[8605] * vX_[166] * 0.33 + (0 - vX_[2258] + vX_[8603]) * 0.08 +
+ vX_[8603] * vX_[186] * 0.35 + vX_[8598] * vX_[166] * -0.33 + vX_[8594] * vX_[166] * 0.33 +
+ vX_[8593] * vX_[186] * 0.33 + vX_[8602] * vX_[166] * 0.35 +
+ (vX_[8601] * vX_[186] + vX_[8600] * vX_[166]) * 0.33 + vX_[8599] * vX_[186] * 0.33 +
+ (0 - vX_[8160]) * 0.08 + vX_[559] * vX_[186] * 0.35 + vX_[464] * vX_[186] * 0.33 +
+ vX_[8123] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[8587] = vX_[2635] * 0.881 + (0 - vX_[2637]) * -0.000881;
+ vX_[9161] = vX_[2633] * -0.881;
+ vX_[1191] = vX_[2637] * 0.110125;
+ vX_[8267] = vX_[9161] - vX_[1191];
+ vX_[9142] = vX_[8587] * vX_[2915] + vX_[8267] * vX_[963];
+ vX_[1395] = vX_[2625] * 3.146 + (0 - vX_[2626]) * 0.0825825;
+ vX_[9015] = vX_[2624] * -3.146;
+ vX_[275] = vX_[2626] * 0.47422804;
+ vX_[924] = vX_[9015] - vX_[275];
+ vX_[920] = vX_[9142] + vX_[1395] * vX_[775] + vX_[924] * vX_[1018];
+ vX_[321] = vX_[2613] * 3.44 + vX_[2616] * -0.5824264;
+ vX_[1144] = 0 - vX_[321];
+ vX_[277] = vX_[2607] * 3.44 + (0 - vX_[2616]) * 0.1466472;
+ vX_[279] = vX_[2607] * vX_[252] + vX_[2579] * vX_[234] + vX_[2613] * vX_[243] + vX_[2616] * vX_[528] +
+ vX_[2618] * vX_[580];
+ vX_[280] = vX_[920] * -1 + vX_[1144] * vX_[4087] + vX_[277] * vX_[3807] + vX_[279] * x_in[30];
+ vX_[281] = vX_[2926] - vX_[8376];
+ vX_[282] = vX_[2517] + vX_[1258];
+ vX_[284] = vX_[281] * vX_[249] + vX_[282] * vX_[247];
+ vX_[285] = vX_[8371] - vX_[8376];
+ vX_[287] = vX_[285] * vX_[249];
+ vX_[2493] = vX_[281] * vX_[235] + vX_[282] * vX_[249];
+ vX_[840] = vX_[285] * vX_[247];
+ vX_[7158] = vX_[2493] + vX_[840];
+ vX_[4394] = vX_[284] * vX_[235] + vX_[287] * vX_[247] + vX_[7158] * vX_[249];
+ vX_[5370] = 0 - vX_[4394];
+ vX_[1383] = vX_[8376] + vX_[2493] * vX_[235] + vX_[287] * vX_[249];
+ vX_[1384] = 0 - vX_[1383];
+ vX_[538] = vX_[8376] + vX_[284] * vX_[249] + vX_[840] * vX_[247];
+ vX_[1208] = vX_[8375] + vX_[8352];
+ vX_[1345] = vX_[8350] + vX_[2518] - vX_[1208];
+ vX_[9031] = vX_[8492] + vX_[8356];
+ vX_[1596] = 0 - (vX_[1939] + vX_[2519]) + vX_[9031];
+ vX_[2267] = (vX_[9031] * vX_[235] + vX_[1208] * vX_[249]) * -1;
+ vX_[2259] = 0 - (vX_[1345] * vX_[249] + vX_[1596] * vX_[247]) + vX_[2267];
+ vX_[2243] = vX_[2259] + vX_[1383] * vX_[236];
+ vX_[2223] = 0 - vX_[2243];
+ vX_[9190] = (vX_[9031] * vX_[249] + vX_[1208] * vX_[247]) * -1;
+ vX_[7756] = vX_[1345] * vX_[235] + vX_[1596] * vX_[249] + vX_[9190];
+ vX_[9089] = 0 - vX_[538];
+ vX_[9063] = vX_[7756] + vX_[4394] * vX_[236] + vX_[9089] * vX_[165];
+ vX_[2024] = vX_[2125] + vX_[1242];
+ vX_[9252] = vX_[2117] + vX_[917];
+ vX_[434] = vX_[2024] * vX_[247] + vX_[9252] * vX_[249];
+ vX_[8151] = vX_[8493] + vX_[2522];
+ vX_[1957] = vX_[8366] + vX_[1261];
+ vX_[9219] = vX_[8151] * vX_[249] + vX_[1957] * vX_[247];
+ vX_[8157] = vX_[434] * vX_[235] + vX_[9219] * vX_[249];
+ vX_[9317] = vX_[2527] + vX_[8491];
+ vX_[9214] = vX_[8346] + vX_[8355];
+ vX_[444] = 0 - vX_[9214];
+ vX_[8158] = vX_[9317] * vX_[249] + vX_[444] * vX_[247];
+ vX_[9344] = 0 - vX_[8158];
+ vX_[9182] = vX_[8157] + vX_[9344] * vX_[165] + vX_[1384] * vX_[251];
+ vX_[1739] = 0 - vX_[9182];
+ vX_[7771] = vX_[2024] * vX_[249] + vX_[9252] * vX_[235];
+ vX_[1958] = vX_[8151] * vX_[235] + vX_[1957] * vX_[249];
+ vX_[8218] = vX_[7771] * vX_[249] + vX_[1958] * vX_[247];
+ vX_[9214] = 0 - vX_[9214];
+ vX_[8217] = vX_[9317] * vX_[235] + vX_[9214] * vX_[249];
+ vX_[1655] = 0 - vX_[8217];
+ vX_[9295] = vX_[8218] + vX_[1655] * vX_[236] + vX_[538] * vX_[251];
+ vX_[9328] = vX_[7771] * vX_[235] + vX_[1958] * vX_[249];
+ vX_[470] = vX_[9328] + vX_[8158] * vX_[236];
+ vX_[489] = vX_[434] * vX_[249] + vX_[9219] * vX_[247];
+ vX_[8192] = vX_[489] + vX_[8217] * vX_[165] + vX_[5370] * vX_[251];
+ vX_[8191] = 0 - vX_[470] + vX_[8192];
+ vX_[8197] = 0 - vX_[4394];
+ vX_[8198] = 0 - vX_[1383];
+ vX_[1384] = vX_[5370] * vX_[583] + vX_[1384] * vX_[530] + vX_[538] * vX_[214] + vX_[2223] * vX_[252] +
+ vX_[9063] * vX_[263] + vX_[1739] * vX_[243] + vX_[9295] * vX_[237] + vX_[8191] * vX_[234] +
+ vX_[8197] * vX_[580] + vX_[4394] * vX_[577] + vX_[8198] * vX_[529] + vX_[538] * vX_[533];
+ vX_[5370] = 0 - vX_[8587];
+ vX_[8002] = vX_[2622] * 0.881 + (0 - vX_[2639]) * 0.110125 + vX_[2641] * -0.000881;
+ vX_[8696] = vX_[2633] * -0.00370574557885489 + vX_[2635] * 0.880970354035369;
+ vX_[9274] = vX_[5370] * vX_[789] + vX_[8002] * vX_[963] + vX_[8696] * x_in[32];
+ vX_[1191] = 0 - vX_[9161] + vX_[1191];
+ vX_[9161] = 0 - vX_[8002];
+ vX_[8687] = vX_[2633] * 0.417781802643138 + vX_[2635] * -0.00370574557885489;
+ vX_[9257] = vX_[1191] * vX_[789] + vX_[9161] * vX_[2915] - vX_[8687] * x_in[32];
+ vX_[9260] = 0 - vX_[1395];
+ vX_[9230] = vX_[2620] * 3.146 + (0 - vX_[2621]) * 0.47422804 + vX_[2631] * 0.0825825;
+ vX_[8202] = vX_[2624] * vX_[211] + vX_[2625] * vX_[210] + vX_[2621] * vX_[187] + vX_[2631] * vX_[185];
+ vX_[9280] = vX_[9274] * vX_[169] + vX_[9257] * vX_[167] + vX_[9260] * vX_[816] + vX_[9230] * vX_[1018] +
+ vX_[8202] * x_in[31];
+ vX_[275] = 0 - vX_[9015] + vX_[275];
+ vX_[9015] = 0 - vX_[9230];
+ vX_[8205] = vX_[2624] * vX_[209] + vX_[2625] * vX_[211] + vX_[2621] * vX_[193] + vX_[2631] * vX_[192];
+ vX_[9281] = vX_[9274] * vX_[1069] + vX_[9257] * vX_[169] + vX_[275] * vX_[816] + vX_[9015] * vX_[775] -
+ vX_[8205] * x_in[31];
+ vX_[8216] = vX_[2579] * -3.44;
+ vX_[8204] = vX_[2603] * 0.1466472;
+ vX_[8215] = vX_[2618] * -0.5824264;
+ vX_[8180] = 0 - vX_[8216] + vX_[8204] - vX_[8215];
+ vX_[8178] = 0 - vX_[277];
+ vX_[8341] = vX_[2607] * vX_[263] + vX_[2579] * vX_[237] + vX_[2613] * vX_[234] + vX_[2616] * vX_[577] +
+ vX_[2618] * vX_[527];
+ vX_[451] = vX_[9280] * vX_[1065] + vX_[9281] * vX_[186] + vX_[8180] * vX_[4087] + vX_[8178] * vX_[824] -
+ vX_[8341] * x_in[30];
+ vX_[462] = vX_[2926] + vX_[8371] + vX_[8376] - vX_[1383] - vX_[538];
+ vX_[478] = 0 - vX_[462];
+ vX_[2267] = vX_[2267] + vX_[478] * vX_[236];
+ vX_[9190] = vX_[9190] + vX_[462] * vX_[165];
+ vX_[8183] = 0 - vX_[9063];
+ vX_[9302] = 0 - vX_[9295];
+ vX_[9305] = vX_[8195] + vX_[8342] + vX_[9252] + vX_[1957] - vX_[9328] - vX_[489];
+ vX_[8192] = vX_[9305] - vX_[8192];
+ vX_[3676] = 0 - vX_[8158];
+ vX_[8206] = 0 - vX_[4394];
+ vX_[8166] = 0 - vX_[538];
+ vX_[8189] = vX_[926] - vX_[2520];
+ vX_[8179] = vX_[1846] - vX_[2520];
+ vX_[8188] = vX_[2514] + vX_[1158];
+ vX_[3411] = vX_[2512] + vX_[1394];
+ vX_[8201] = vX_[2511] + vX_[2124];
+ vX_[723] = 0 - vX_[8201];
+ vX_[8186] = vX_[8189] * vX_[249] + vX_[8188] * vX_[247];
+ vX_[8200] = vX_[8179] * vX_[249];
+ vX_[8184] = vX_[8189] * vX_[235] + vX_[8188] * vX_[249];
+ vX_[8213] = vX_[8179] * vX_[247];
+ vX_[8212] = vX_[8184] + vX_[8213];
+ vX_[9311] = vX_[2622] * -0.000881 + vX_[2641] * -0.000227999999999999;
+ vX_[437] = vX_[2622] * 0.110125 + (0 - vX_[2639]) * 0.025713;
+ vX_[656] = (0 - vX_[2633]) * -0.000881;
+ vX_[7748] = (0 - vX_[2635]) * 0.110125;
+ vX_[8176] = vX_[656] + vX_[7748];
+ vX_[8176] = vX_[5370] * vX_[1930] + vX_[1191] * vX_[2925] + vX_[9311] * vX_[2915] + vX_[437] * vX_[963] +
+ vX_[8176] * vX_[789] + vX_[8176] * vX_[789];
+ vX_[1191] = vX_[2620] * 0.0825825 + (0 - vX_[2626]) * -0.000102 + vX_[2621] * -0.007418 + vX_[2631] * 0.002735;
+ vX_[5370] = vX_[2620] * 0.47422804 + vX_[2626] * 2.1e-05 + (0 - vX_[2621]) * 0.084376 + (0 - vX_[2631]) * -0.007418;
+ vX_[8174] = (0 - vX_[2624]) * 0.0825825;
+ vX_[8169] = (0 - vX_[2625]) * 0.47422804;
+ vX_[8168] = vX_[2621] * -0.000102;
+ vX_[8165] = (0 - vX_[2631]) * 2.1e-05;
+ vX_[8164] = vX_[8174] + vX_[8169] + vX_[8168] + vX_[8165];
+ vX_[8164] = vX_[8176] + vX_[9274] * vX_[1077] + vX_[9257] * vX_[168] + vX_[9260] * vX_[797] + vX_[275] * vX_[2924] +
+ vX_[1191] * vX_[775] + vX_[5370] * vX_[1018] + vX_[8164] * vX_[816] + vX_[8164] * vX_[816];
+ vX_[275] = vX_[2579] * -0.5824264 + (0 - vX_[2603]) * 0.022734 + vX_[2616] * 3.6e-05 + vX_[2618] * -0.133138;
+ vX_[9260] = vX_[2579] * 0.1466472 + vX_[2603] * 0.009466 + (0 - vX_[2616]) * -5.1e-05 + vX_[2618] * 0.022734;
+ vX_[8173] = (0 - vX_[2607]) * -0.5824264;
+ vX_[8172] = (0 - vX_[2613]) * 0.1466472;
+ vX_[8171] = (0 - vX_[2603]) * 3.6e-05;
+ vX_[8170] = (0 - vX_[2618]) * -5.1e-05;
+ vX_[7741] = vX_[8173] + vX_[8172] + vX_[8171] - vX_[8170];
+ vX_[3672] = vX_[2607] * vX_[268] + vX_[2579] * vX_[527] + vX_[2613] * vX_[580] + vX_[2616] * vX_[579] +
+ vX_[2618] * vX_[231];
+ vX_[7741] = vX_[9280] * vX_[1066] + vX_[9281] * vX_[201] + vX_[8164] * -1 + vX_[321] * vX_[3339] +
+ vX_[8178] * vX_[806] + vX_[275] * vX_[4087] + vX_[9260] * vX_[3807] + vX_[7741] * vX_[824] +
+ vX_[7741] * vX_[824] + vX_[3672] * x_in[30];
+ vX_[2637] = vX_[2633] * 0.110125 + vX_[2635] * -0.000881 + vX_[2637] * 0.025941;
+ vX_[2641] = vX_[2622] * -0.000881 + vX_[2641] * 0.000468;
+ vX_[7748] = vX_[8587] * vX_[812] + vX_[9161] * vX_[2925] + vX_[9311] * vX_[789] + vX_[2637] * vX_[963] +
+ vX_[7748] * vX_[2915] + vX_[7748] * vX_[2915] + vX_[2641] * x_in[32];
+ vX_[2639] = vX_[2622] * -0.110125 + vX_[2639] * 0.026409;
+ vX_[2637] = vX_[8267] * vX_[812] + vX_[8002] * vX_[1930] + vX_[437] * vX_[789] + vX_[2637] * vX_[2915] +
+ vX_[656] * vX_[963] + vX_[656] * vX_[963] - vX_[2639] * x_in[32];
+ vX_[656] = vX_[2624] * 0.47422804 + vX_[2625] * 0.0825825 + vX_[2626] * 0.081641 + (0 - vX_[2621]) * 2.1e-05 +
+ vX_[2631] * -0.000102;
+ vX_[437] = (0 - vX_[2626]) * -0.007418;
+ vX_[8165] = vX_[8169] + vX_[437] - vX_[8165];
+ vX_[8169] = vX_[2620] * vX_[180] + vX_[2624] * vX_[192] + vX_[2625] * vX_[185] + vX_[2621] * vX_[226] +
+ vX_[2631] * vX_[222];
+ vX_[8165] = vX_[9142] * -0.35 + vX_[7748] * vX_[169] + vX_[2637] * vX_[167] + vX_[1395] * vX_[968] +
+ vX_[9015] * vX_[2924] + vX_[1191] * vX_[816] + vX_[656] * vX_[1018] + vX_[8165] * vX_[775] +
+ vX_[8165] * vX_[775] + vX_[8169] * x_in[31];
+ vX_[437] = vX_[8174] - vX_[437] - vX_[8168];
+ vX_[8168] = vX_[2620] * vX_[189] + vX_[2624] * vX_[193] + vX_[2625] * vX_[187] + vX_[2621] * vX_[220] +
+ vX_[2631] * vX_[226];
+ vX_[437] = vX_[7748] * vX_[175] + vX_[2637] * vX_[169] + vX_[924] * vX_[968] + vX_[9230] * vX_[797] +
+ vX_[5370] * vX_[816] + vX_[656] * vX_[775] + vX_[437] * vX_[1018] + vX_[437] * vX_[1018] -
+ vX_[8168] * x_in[31];
+ vX_[8215] = vX_[8216] - vX_[8204] + vX_[8215];
+ vX_[8204] = vX_[2607] * 0.1466472 + vX_[2613] * -0.5824264 + vX_[2603] * -5.1e-05 + (0 - vX_[2616]) * -0.123672 +
+ (0 - vX_[2618]) * 3.6e-05;
+ vX_[8216] = vX_[2616] * 0.022734;
+ vX_[8171] = vX_[8173] - vX_[8171] - vX_[8216];
+ vX_[8173] = vX_[2607] * vX_[205] + vX_[2579] * vX_[577] + vX_[2613] * vX_[528] + vX_[2616] * vX_[526] +
+ vX_[2618] * vX_[579];
+ vX_[8171] = vX_[8165] * vX_[195] + vX_[437] * vX_[186] + vX_[8215] * vX_[3339] + vX_[277] * vX_[3838] +
+ vX_[8204] * vX_[4087] + vX_[9260] * vX_[824] + vX_[8171] * vX_[3807] + vX_[8171] * vX_[3807] -
+ vX_[8173] * x_in[30];
+ vX_[2668] = vX_[2668] * vX_[2018];
+ vX_[9260] = vX_[2668] * vX_[169];
+ vX_[2669] = vX_[2669] * vX_[2018];
+ vX_[277] = vX_[2669] * vX_[167];
+ vX_[2670] = vX_[2670] * vX_[2018];
+ vX_[2640] = vX_[2640] * vX_[2013];
+ vX_[656] = vX_[2640] * vX_[169];
+ vX_[5370] = vX_[2640] * vX_[167];
+ vX_[2656] = vX_[2656] * vX_[2025];
+ vX_[9230] = vX_[2656] * vX_[167];
+ vX_[2644] = vX_[2644] * vX_[2015];
+ vX_[924] = vX_[2644] * vX_[169];
+ vX_[2642] = vX_[2642] * vX_[2013];
+ vX_[8174] = vX_[2642] * vX_[169];
+ vX_[1191] = 0 - vX_[8174];
+ vX_[9015] = vX_[2642] * vX_[167];
+ vX_[1395] = 0 - vX_[5370];
+ vX_[9142] = vX_[2656] * vX_[169];
+ vX_[2657] = vX_[2657] * vX_[2025];
+ vX_[8002] = 0 - vX_[2657];
+ vX_[8267] = vX_[8002] * vX_[169];
+ vX_[2622] = vX_[2657] * vX_[167];
+ vX_[9311] = vX_[2668] + vX_[2644];
+ vX_[2645] = vX_[2645] * vX_[2015];
+ vX_[9161] = 0 - vX_[2669] - vX_[2645];
+ vX_[8587] = vX_[9311] * vX_[167] + vX_[9161] * vX_[169];
+ vX_[2635] = vX_[2645] * vX_[167];
+ vX_[2662] = vX_[2662] * vX_[2025] + vX_[2650] * vX_[2013];
+ vX_[2650] = 0 - vX_[2662];
+ vX_[2633] = 0 - vX_[2662];
+ vX_[8178] = vX_[2633] * vX_[169];
+ vX_[7316] = vX_[2662] * vX_[167];
+ vX_[7309] = vX_[2663] * vX_[1209] + vX_[2849] * vX_[1159] + vX_[2852] * vX_[1194];
+ vX_[8860] = 0 - vX_[7309];
+ vX_[7704] = vX_[2663] * vX_[1294] + vX_[2849] * vX_[1195] + vX_[2852] * vX_[1153];
+ vX_[1950] = vX_[8860] * x_in[18] + vX_[7704] * x_in[19];
+ vX_[7329] = 0 - vX_[1950];
+ vX_[3674] = 0 - vX_[1950];
+ vX_[3092] = vX_[3674] * vX_[169];
+ vX_[9191] = vX_[1950] * vX_[167];
+ vX_[2663] = vX_[2663] * vX_[1192] + vX_[2849] * vX_[1210] + vX_[2852] * vX_[1295];
+ jac[1136] = vX_[8205] * vX_[1119] + vX_[8202] * vX_[797] + vX_[8168] * vX_[2026] + vX_[8169] * vX_[775] +
+ vX_[8164] + vX_[2663] * vX_[1214] + vX_[7309] * vX_[1165] + vX_[7704] * vX_[1198];
+ jac[1172] = vX_[8687] * vX_[1968] + vX_[8696] * vX_[1930] + vX_[2639] * vX_[1653] + vX_[2641] * vX_[2915] +
+ vX_[8176] + vX_[2663] * vX_[1225] + vX_[7309] * vX_[1176] + vX_[7704] * vX_[1199];
+ vX_[2639] = vX_[2663] * x_in[32];
+ vX_[2641] = vX_[2639] * vX_[169];
+ vX_[8176] = vX_[2639] * vX_[167];
+ vX_[8687] = vX_[2663] * x_in[31];
+ vX_[8696] = vX_[7309] * x_in[30];
+ vX_[8168] = 0 - vX_[8696];
+ vX_[8169] = vX_[8687] * vX_[169];
+ vX_[8164] = 0 - vX_[8696];
+ vX_[8205] = vX_[8164] * vX_[169];
+ vX_[8202] = vX_[8687] * vX_[167];
+ vX_[2852] = vX_[8696] * vX_[167];
+ vX_[2849] = vX_[2674] * vX_[1180];
+ vX_[1953] = 0 - vX_[2849];
+ vX_[4114] = 0 - vX_[2849];
+ vX_[7732] = vX_[4114] * vX_[169];
+ vX_[1905] = vX_[2849] * vX_[167];
+ vX_[1723] = 0 - vX_[2267];
+ vX_[7738] = 0 - vX_[9190];
+ vX_[9305] = 0 - vX_[9305] + vX_[470];
+ vX_[470] = 0 - vX_[8217];
+ vX_[8201] = 0 - vX_[8201];
+ vX_[2634] = vX_[2634] * vX_[2013];
+ vX_[1906] = vX_[2634] * vX_[167];
+ vX_[2636] = vX_[2636] * vX_[2013];
+ vX_[9060] = 0 - vX_[2636];
+ vX_[1305] = vX_[9060] * vX_[169];
+ vX_[2638] = vX_[2638] * vX_[2013];
+ vX_[2655] = vX_[2655] * vX_[2025];
+ vX_[2671] = vX_[2671] * vX_[2018];
+ vX_[7739] = vX_[2671] * vX_[169];
+ vX_[8427] = vX_[2671] * vX_[167];
+ vX_[9098] = 0 - vX_[8427];
+ vX_[2660] = vX_[2660] * vX_[1124];
+ vX_[9330] = vX_[2660] * vX_[167];
+ vX_[2672] = vX_[2672] * vX_[2018];
+ vX_[7344] = vX_[2672] * vX_[169];
+ vX_[3268] = vX_[2672] * vX_[167];
+ vX_[2661] = vX_[2661] * vX_[1124];
+ vX_[7799] = 0 - vX_[2661];
+ vX_[7798] = vX_[7799] * vX_[169];
+ vX_[46] = vX_[2634] + vX_[2660];
+ vX_[2661] = vX_[2636] + vX_[2661];
+ vX_[2636] = vX_[46] * vX_[169] + vX_[2661] * vX_[167];
+ vX_[2658] = vX_[2658] * vX_[2025] + vX_[2649] * vX_[2018];
+ vX_[2649] = 0 - vX_[2658];
+ vX_[1826] = 0 - vX_[2658];
+ vX_[1670] = vX_[1826] * vX_[169];
+ vX_[1815] = vX_[2658] * vX_[167];
+ vX_[9201] = 0 - vX_[7704];
+ vX_[7773] = vX_[2663] * x_in[18] + vX_[9201] * x_in[20];
+ vX_[7772] = 0 - vX_[7773];
+ vX_[7778] = vX_[7773] * vX_[167];
+ vX_[7779] = vX_[2663] * x_in[30];
+ vX_[503] = vX_[7779] * vX_[167];
+ vX_[1702] = vX_[7309] * x_in[32];
+ vX_[1718] = vX_[1702] * vX_[169];
+ vX_[1726] = vX_[1702] * vX_[167];
+ vX_[1727] = vX_[7309] * x_in[31];
+ vX_[1729] = vX_[7779] * vX_[169];
+ vX_[1756] = vX_[1727] * vX_[169];
+ vX_[7783] = vX_[1727] * vX_[167];
+ vX_[1785] = vX_[2674] * vX_[1246];
+ vX_[7786] = 0 - vX_[1785];
+ vX_[1787] = 0 - vX_[7773];
+ vX_[7797] = 0 - vX_[1785];
+ vX_[7785] = vX_[1787] * vX_[169] + vX_[7797] * vX_[169];
+ vX_[7796] = vX_[1785] * vX_[167];
+ jac[452] =
+ 0 -
+ (0 - (vX_[2513] * vX_[1621] + vX_[280] * x_in[22]) +
+ (vX_[2523] * vX_[1621] + vX_[1384] * vX_[249] + vX_[280] * x_in[20]) * 0.3735 -
+ (vX_[2515] * vX_[4058] + vX_[451] * x_in[23]) + (vX_[2528] * vX_[4058] + vX_[451] * x_in[19]) * -0.3735 +
+ (vX_[2534] * vX_[4058] +
+ (vX_[9344] * vX_[530] + vX_[8217] * vX_[583] + vX_[462] * vX_[262] + vX_[9089] * vX_[264] +
+ vX_[2267] * vX_[234] + vX_[9190] * vX_[243] + vX_[8183] * vX_[246] + vX_[9302] * vX_[263] +
+ vX_[8192] * vX_[252] + vX_[3676] * vX_[528] + vX_[8217] * vX_[580] + vX_[8206] * vX_[205] +
+ vX_[8166] * vX_[535]) *
+ -1 +
+ vX_[451] * x_in[18]) *
+ -0.207 -
+ (vX_[2523] * vX_[1314] + vX_[2528] * vX_[1268] + vX_[8189] * vX_[707] + vX_[8179] * vX_[705] +
+ vX_[8188] * vX_[703] + vX_[3411] * vX_[588] + vX_[723] * vX_[252] + vX_[8186] * vX_[692] +
+ vX_[8200] * vX_[161] + vX_[8212] * vX_[234] + vX_[2024] * vX_[671] + vX_[8151] * vX_[646] +
+ vX_[9031] * vX_[270] + vX_[1208] * vX_[260] + vX_[9252] * vX_[672] + vX_[1957] * vX_[649] +
+ vX_[7771] * vX_[647] + vX_[434] * vX_[582] + vX_[1958] * vX_[648] + vX_[9219] * vX_[645] +
+ vX_[1345] * vX_[259] + vX_[1596] * vX_[269] + vX_[281] * vX_[589] + vX_[285] * vX_[587] +
+ vX_[282] * vX_[585] + vX_[9317] * vX_[626] + vX_[9214] * vX_[627] + vX_[284] * vX_[536] +
+ vX_[287] * vX_[532] + vX_[7158] * vX_[584] + vX_[1384] * vX_[250] + vX_[7741] * x_in[19] +
+ vX_[8171] * x_in[20]) +
+ vX_[2623] * vX_[2013] + vX_[2659] * vX_[1124] + vX_[9260] * vX_[166] + vX_[277] * vX_[166] +
+ (0 - vX_[2670]) * 0.3735 + vX_[2670] * vX_[166] * -0.35 + vX_[656] * 0.35 + vX_[656] * vX_[186] * 0.08 +
+ vX_[656] * vX_[166] * 0.3735 + vX_[5370] * vX_[186] * 0.3735 + vX_[9230] * vX_[186] * 0.207 +
+ vX_[924] * vX_[166] + vX_[1191] * vX_[186] * 0.3735 + vX_[9015] * 0.35 +
+ (vX_[1395] * vX_[166] + vX_[9015] * vX_[186]) * 0.08 + vX_[9015] * vX_[166] * 0.3735 +
+ (vX_[9142] * vX_[166] + vX_[8267] * vX_[186]) * 0.207 + vX_[2622] * vX_[166] * 0.207 +
+ vX_[8587] * vX_[186] + vX_[2635] * vX_[166] + (vX_[8174] * vX_[166] - vX_[2662]) * 0.08 +
+ vX_[2650] * vX_[186] * 0.35 + vX_[8178] * vX_[186] * 0.33 + vX_[7316] * vX_[166] * 0.33 +
+ (0 - vX_[1950]) * 0.08 + vX_[7329] * vX_[186] * 0.35 + vX_[3092] * vX_[186] * 0.33 +
+ vX_[9191] * vX_[166] * 0.33 + vX_[2641] * vX_[166] * 0.33 + vX_[8176] * vX_[186] * 0.33 +
+ vX_[8687] * vX_[166] * 0.35 + (0 - vX_[8696]) * 0.08 + vX_[8168] * vX_[186] * 0.35 +
+ (vX_[8169] * vX_[166] + vX_[8205] * vX_[186]) * 0.33 +
+ (vX_[8202] * vX_[186] + vX_[2852] * vX_[166]) * 0.33 + (0 - vX_[2849]) * 0.08 +
+ vX_[1953] * vX_[186] * 0.35 + vX_[7732] * vX_[186] * 0.33 + vX_[1905] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[2515] * vX_[1621] + vX_[2523] * vX_[1268] + vX_[8189] * vX_[703] + vX_[3411] * vX_[252] +
+ vX_[8184] * vX_[161] + vX_[8186] * vX_[234] + vX_[8151] * vX_[649] + vX_[9031] * vX_[260] +
+ vX_[9252] * vX_[671] + vX_[7771] * vX_[648] + vX_[434] * vX_[645] + vX_[1345] * vX_[269] +
+ vX_[281] * vX_[585] + vX_[9317] * vX_[627] + vX_[2493] * vX_[532] + vX_[284] * vX_[584] +
+ (vX_[8158] * vX_[581] + vX_[1655] * vX_[214] + vX_[4394] * vX_[264] + vX_[478] * vX_[238] +
+ vX_[1383] * vX_[253] + vX_[1723] * vX_[237] + vX_[2243] * vX_[246] + vX_[7738] * vX_[234] +
+ vX_[9182] * vX_[252] + vX_[9305] * vX_[263] + vX_[8158] * vX_[577] + vX_[470] * vX_[527] +
+ vX_[4394] * vX_[268] + vX_[1383] * vX_[524]) *
+ 0.207 +
+ vX_[280] * x_in[23] + vX_[7741] * x_in[20] +
+ (vX_[2528] * vX_[1621] + vX_[1384] * vX_[247] + vX_[280] * x_in[19]) * 0.3735 +
+ (vX_[2534] * vX_[1621] + vX_[280] * x_in[18]) * 0.207 - (vX_[2513] * vX_[4058] + vX_[451] * x_in[22]) +
+ (vX_[2523] * vX_[4058] + vX_[451] * x_in[20]) * 0.3735 -
+ (vX_[2528] * vX_[1314] + vX_[8179] * vX_[704] + vX_[8188] * vX_[707] + vX_[8201] * vX_[588] +
+ vX_[8200] * vX_[234] + vX_[8213] * vX_[692] + vX_[2024] * vX_[672] + vX_[1208] * vX_[270] +
+ vX_[1957] * vX_[646] + vX_[1958] * vX_[647] + vX_[9219] * vX_[582] + vX_[1596] * vX_[259] +
+ vX_[285] * vX_[586] + vX_[282] * vX_[589] + vX_[444] * vX_[626] + vX_[287] * vX_[584] +
+ vX_[840] * vX_[536] + vX_[1384] * vX_[248] + vX_[8171] * x_in[19]) -
+ vX_[2667] * vX_[2018] + vX_[1906] * vX_[186] + vX_[1305] * vX_[186] + (0 - vX_[2638]) * 0.3735 +
+ vX_[2638] * vX_[166] * -0.35 + (0 - vX_[2655]) * 0.207 - vX_[2643] * vX_[2015] + (0 - vX_[7739]) * 0.35 +
+ (0 - vX_[7739] * vX_[186]) * 0.08 + vX_[7739] * vX_[166] * -0.3735 + vX_[9098] * vX_[186] * 0.3735 +
+ vX_[8427] * vX_[166] * 0.08 + vX_[9330] * vX_[186] + vX_[7344] * vX_[186] * 0.3735 +
+ (0 - vX_[7344] * vX_[166]) * 0.08 + (0 - vX_[3268]) * 0.35 + (0 - vX_[3268] * vX_[186]) * 0.08 +
+ vX_[3268] * vX_[166] * -0.3735 + vX_[7798] * vX_[186] + vX_[2636] * vX_[166] + vX_[2649] * vX_[186] * 0.35 +
+ vX_[1670] * vX_[186] * 0.33 + vX_[1815] * vX_[166] * 0.33 + (0 - vX_[7773]) * 0.08 +
+ vX_[7772] * vX_[186] * 0.35 + vX_[7778] * vX_[166] * 0.33 + (0 - vX_[2658] + vX_[7779]) * 0.08 +
+ vX_[7779] * vX_[186] * 0.35 + vX_[503] * vX_[166] * -0.33 + vX_[1718] * vX_[166] * 0.33 +
+ vX_[1726] * vX_[186] * 0.33 + vX_[1727] * vX_[166] * 0.35 +
+ (vX_[1729] * vX_[186] + vX_[1756] * vX_[166]) * 0.33 + vX_[7783] * vX_[186] * 0.33 +
+ (0 - vX_[1785]) * 0.08 + vX_[7786] * vX_[186] * 0.35 + vX_[7785] * vX_[186] * 0.33 +
+ vX_[7796] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[8188] = vX_[3062] * 0.881 + (0 - vX_[3064]) * -0.000881;
+ vX_[8179] = vX_[3060] * -0.881;
+ vX_[8189] = vX_[3064] * 0.110125;
+ vX_[478] = vX_[8179] - vX_[8189];
+ vX_[462] = vX_[8188] * vX_[2915] + vX_[478] * vX_[963];
+ vX_[1384] = vX_[3052] * 3.146 + (0 - vX_[3053]) * 0.0825825;
+ vX_[1655] = vX_[3051] * -3.146;
+ vX_[9214] = vX_[3053] * 0.47422804;
+ vX_[1958] = vX_[1655] - vX_[9214];
+ vX_[7771] = vX_[462] + vX_[1384] * vX_[775] + vX_[1958] * vX_[1018];
+ vX_[9344] = vX_[3040] * 3.44 + vX_[3043] * -0.5824264;
+ vX_[444] = 0 - vX_[9344];
+ vX_[9317] = vX_[3034] * 3.44 + (0 - vX_[3043]) * 0.1466472;
+ vX_[9219] = vX_[3034] * vX_[252] + vX_[3006] * vX_[234] + vX_[3040] * vX_[243] + vX_[3043] * vX_[528] +
+ vX_[3045] * vX_[580];
+ vX_[1957] = vX_[7771] * -1 + vX_[444] * vX_[4087] + vX_[9317] * vX_[3807] + vX_[9219] * x_in[30];
+ vX_[8151] = vX_[8505] - vX_[7513];
+ vX_[434] = vX_[2944] + vX_[8333];
+ vX_[9252] = vX_[8151] * vX_[249] + vX_[434] * vX_[247];
+ vX_[2024] = vX_[7510] - vX_[7513];
+ vX_[9089] = vX_[2024] * vX_[249];
+ vX_[1596] = vX_[8151] * vX_[235] + vX_[434] * vX_[249];
+ vX_[9031] = vX_[2024] * vX_[247];
+ vX_[1345] = vX_[1596] + vX_[9031];
+ vX_[1208] = vX_[9252] * vX_[235] + vX_[9089] * vX_[247] + vX_[1345] * vX_[249];
+ vX_[7158] = 0 - vX_[1208];
+ vX_[840] = vX_[7513] + vX_[1596] * vX_[235] + vX_[9089] * vX_[249];
+ vX_[2493] = 0 - vX_[840];
+ vX_[287] = vX_[7513] + vX_[9252] * vX_[249] + vX_[9031] * vX_[247];
+ vX_[285] = vX_[7509] + vX_[7491];
+ vX_[284] = vX_[7489] + vX_[2945] - vX_[285];
+ vX_[282] = vX_[7525] + vX_[7500];
+ vX_[281] = 0 - (vX_[2526] + vX_[2946]) + vX_[282];
+ vX_[2667] = (vX_[282] * vX_[235] + vX_[285] * vX_[249]) * -1;
+ vX_[2659] = 0 - (vX_[284] * vX_[249] + vX_[281] * vX_[247]) + vX_[2667];
+ vX_[2643] = vX_[2659] + vX_[840] * vX_[236];
+ vX_[2623] = 0 - vX_[2643];
+ vX_[7761] = (vX_[282] * vX_[249] + vX_[285] * vX_[247]) * -1;
+ vX_[7759] = vX_[284] * vX_[235] + vX_[281] * vX_[249] + vX_[7761];
+ vX_[7922] = 0 - vX_[287];
+ vX_[9097] = vX_[7759] + vX_[1208] * vX_[236] + vX_[7922] * vX_[165];
+ vX_[1617] = vX_[8363] + vX_[8321];
+ vX_[9372] = vX_[8358] + vX_[8329];
+ vX_[7764] = vX_[1617] * vX_[247] + vX_[9372] * vX_[249];
+ vX_[1843] = vX_[7517] + vX_[2949];
+ vX_[1869] = vX_[7506] + vX_[8324];
+ vX_[7902] = vX_[1843] * vX_[249] + vX_[1869] * vX_[247];
+ vX_[7787] = vX_[7764] * vX_[235] + vX_[7902] * vX_[249];
+ vX_[7747] = vX_[2954] + vX_[7527];
+ vX_[7770] = vX_[7483] + vX_[7492];
+ vX_[7760] = 0 - vX_[7770];
+ vX_[7769] = vX_[7747] * vX_[249] + vX_[7760] * vX_[247];
+ vX_[8135] = 0 - vX_[7769];
+ vX_[7782] = vX_[7787] + vX_[8135] * vX_[165] + vX_[2493] * vX_[251];
+ vX_[8281] = 0 - vX_[7782];
+ vX_[7767] = vX_[1617] * vX_[249] + vX_[9372] * vX_[235];
+ vX_[7781] = vX_[1843] * vX_[235] + vX_[1869] * vX_[249];
+ vX_[7765] = vX_[7767] * vX_[249] + vX_[7781] * vX_[247];
+ vX_[7770] = 0 - vX_[7770];
+ vX_[7794] = vX_[7747] * vX_[235] + vX_[7770] * vX_[249];
+ vX_[7793] = 0 - vX_[7794];
+ vX_[1895] = vX_[7765] + vX_[7793] * vX_[236] + vX_[287] * vX_[251];
+ vX_[9377] = vX_[7767] * vX_[235] + vX_[7781] * vX_[249];
+ vX_[2768] = vX_[9377] + vX_[7769] * vX_[236];
+ vX_[7321] = vX_[7764] * vX_[249] + vX_[7902] * vX_[247];
+ vX_[7757] = vX_[7321] + vX_[7794] * vX_[165] + vX_[7158] * vX_[251];
+ vX_[7755] = 0 - vX_[2768] + vX_[7757];
+ vX_[7750] = 0 - vX_[1208];
+ vX_[7749] = 0 - vX_[840];
+ vX_[2493] = vX_[7158] * vX_[583] + vX_[2493] * vX_[530] + vX_[287] * vX_[214] + vX_[2623] * vX_[252] +
+ vX_[9097] * vX_[263] + vX_[8281] * vX_[243] + vX_[1895] * vX_[237] + vX_[7755] * vX_[234] +
+ vX_[7750] * vX_[580] + vX_[1208] * vX_[577] + vX_[7749] * vX_[529] + vX_[287] * vX_[533];
+ vX_[7158] = 0 - vX_[8188];
+ vX_[7746] = vX_[3049] * 0.881 + (0 - vX_[3066]) * 0.110125 + vX_[3068] * -0.000881;
+ vX_[7745] = vX_[3060] * -0.00370574557885489 + vX_[3062] * 0.880970354035369;
+ vX_[7754] = vX_[7158] * vX_[789] + vX_[7746] * vX_[963] + vX_[7745] * x_in[32];
+ vX_[8189] = 0 - vX_[8179] + vX_[8189];
+ vX_[8179] = 0 - vX_[7746];
+ vX_[7753] = vX_[3060] * 0.417781802643138 + vX_[3062] * -0.00370574557885489;
+ vX_[7752] = vX_[8189] * vX_[789] + vX_[8179] * vX_[2915] - vX_[7753] * x_in[32];
+ vX_[7751] = 0 - vX_[1384];
+ vX_[7314] = vX_[3047] * 3.146 + (0 - vX_[3048]) * 0.47422804 + vX_[3058] * 0.0825825;
+ vX_[2786] = vX_[3051] * vX_[211] + vX_[3052] * vX_[210] + vX_[3048] * vX_[187] + vX_[3058] * vX_[185];
+ vX_[6889] = vX_[7754] * vX_[169] + vX_[7752] * vX_[167] + vX_[7751] * vX_[816] + vX_[7314] * vX_[1018] +
+ vX_[2786] * x_in[31];
+ vX_[9214] = 0 - vX_[1655] + vX_[9214];
+ vX_[1655] = 0 - vX_[7314];
+ vX_[6882] = vX_[3051] * vX_[209] + vX_[3052] * vX_[211] + vX_[3048] * vX_[193] + vX_[3058] * vX_[192];
+ vX_[8283] = vX_[7754] * vX_[1069] + vX_[7752] * vX_[169] + vX_[9214] * vX_[816] + vX_[1655] * vX_[775] -
+ vX_[6882] * x_in[31];
+ vX_[7277] = vX_[3006] * -3.44;
+ vX_[3264] = vX_[3030] * 0.1466472;
+ vX_[6902] = vX_[3045] * -0.5824264;
+ vX_[2791] = 0 - vX_[7277] + vX_[3264] - vX_[6902];
+ vX_[3665] = 0 - vX_[9317];
+ vX_[1669] = vX_[3034] * vX_[263] + vX_[3006] * vX_[237] + vX_[3040] * vX_[234] + vX_[3043] * vX_[577] +
+ vX_[3045] * vX_[527];
+ vX_[1915] = vX_[6889] * vX_[1065] + vX_[8283] * vX_[186] + vX_[2791] * vX_[4087] + vX_[3665] * vX_[824] -
+ vX_[1669] * x_in[30];
+ vX_[3738] = vX_[8505] + vX_[7510] + vX_[7513] - vX_[840] - vX_[287];
+ vX_[7305] = 0 - vX_[3738];
+ vX_[2667] = vX_[2667] + vX_[7305] * vX_[236];
+ vX_[7761] = vX_[7761] + vX_[3738] * vX_[165];
+ vX_[950] = 0 - vX_[9097];
+ vX_[1750] = 0 - vX_[1895];
+ vX_[7311] = vX_[7475] + vX_[7481] + vX_[9372] + vX_[1869] - vX_[9377] - vX_[7321];
+ vX_[7757] = vX_[7311] - vX_[7757];
+ vX_[1700] = 0 - vX_[7769];
+ vX_[3091] = 0 - vX_[1208];
+ vX_[1681] = 0 - vX_[287];
+ vX_[7312] = vX_[8325] - vX_[2947];
+ vX_[1965] = vX_[3721] - vX_[2947];
+ vX_[1676] = vX_[2940] + vX_[8122];
+ vX_[2808] = vX_[2525] + vX_[8373];
+ vX_[6917] = vX_[8367] + vX_[2389];
+ vX_[2046] = 0 - vX_[6917];
+ vX_[7372] = vX_[7312] * vX_[249] + vX_[1676] * vX_[247];
+ vX_[7371] = vX_[1965] * vX_[249];
+ vX_[3343] = vX_[7312] * vX_[235] + vX_[1676] * vX_[249];
+ vX_[3643] = vX_[1965] * vX_[247];
+ vX_[2775] = vX_[3343] + vX_[3643];
+ vX_[1677] = vX_[3049] * -0.000881 + vX_[3068] * -0.000227999999999999;
+ vX_[3285] = vX_[3049] * 0.110125 + (0 - vX_[3066]) * 0.025713;
+ vX_[7346] = (0 - vX_[3060]) * -0.000881;
+ vX_[7345] = (0 - vX_[3062]) * 0.110125;
+ vX_[7351] = vX_[7346] + vX_[7345];
+ vX_[7351] = vX_[7158] * vX_[1930] + vX_[8189] * vX_[2925] + vX_[1677] * vX_[2915] + vX_[3285] * vX_[963] +
+ vX_[7351] * vX_[789] + vX_[7351] * vX_[789];
+ vX_[8189] = vX_[3047] * 0.0825825 + (0 - vX_[3053]) * -0.000102 + vX_[3048] * -0.007418 + vX_[3058] * 0.002735;
+ vX_[7158] = vX_[3047] * 0.47422804 + vX_[3053] * 2.1e-05 + (0 - vX_[3048]) * 0.084376 + (0 - vX_[3058]) * -0.007418;
+ vX_[7352] = (0 - vX_[3051]) * 0.0825825;
+ vX_[509] = (0 - vX_[3052]) * 0.47422804;
+ vX_[9324] = vX_[3048] * -0.000102;
+ vX_[9342] = (0 - vX_[3058]) * 2.1e-05;
+ vX_[602] = vX_[7352] + vX_[509] + vX_[9324] + vX_[9342];
+ vX_[602] = vX_[7351] + vX_[7754] * vX_[1077] + vX_[7752] * vX_[168] + vX_[7751] * vX_[797] + vX_[9214] * vX_[2924] +
+ vX_[8189] * vX_[775] + vX_[7158] * vX_[1018] + vX_[602] * vX_[816] + vX_[602] * vX_[816];
+ vX_[9214] = vX_[3006] * -0.5824264 + (0 - vX_[3030]) * 0.022734 + vX_[3043] * 3.6e-05 + vX_[3045] * -0.133138;
+ vX_[7751] = vX_[3006] * 0.1466472 + vX_[3030] * 0.009466 + (0 - vX_[3043]) * -5.1e-05 + vX_[3045] * 0.022734;
+ vX_[730] = (0 - vX_[3034]) * -0.5824264;
+ vX_[1692] = (0 - vX_[3040]) * 0.1466472;
+ vX_[1683] = (0 - vX_[3030]) * 3.6e-05;
+ vX_[7356] = (0 - vX_[3045]) * -5.1e-05;
+ vX_[1691] = vX_[730] + vX_[1692] + vX_[1683] - vX_[7356];
+ vX_[7359] = vX_[3034] * vX_[268] + vX_[3006] * vX_[527] + vX_[3040] * vX_[580] + vX_[3043] * vX_[579] +
+ vX_[3045] * vX_[231];
+ vX_[1691] = vX_[6889] * vX_[1066] + vX_[8283] * vX_[201] + vX_[602] * -1 + vX_[9344] * vX_[3339] +
+ vX_[3665] * vX_[806] + vX_[9214] * vX_[4087] + vX_[7751] * vX_[3807] + vX_[1691] * vX_[824] +
+ vX_[1691] * vX_[824] + vX_[7359] * x_in[30];
+ vX_[3064] = vX_[3060] * 0.110125 + vX_[3062] * -0.000881 + vX_[3064] * 0.025941;
+ vX_[3068] = vX_[3049] * -0.000881 + vX_[3068] * 0.000468;
+ vX_[7345] = vX_[8188] * vX_[812] + vX_[8179] * vX_[2925] + vX_[1677] * vX_[789] + vX_[3064] * vX_[963] +
+ vX_[7345] * vX_[2915] + vX_[7345] * vX_[2915] + vX_[3068] * x_in[32];
+ vX_[3066] = vX_[3049] * -0.110125 + vX_[3066] * 0.026409;
+ vX_[3064] = vX_[478] * vX_[812] + vX_[7746] * vX_[1930] + vX_[3285] * vX_[789] + vX_[3064] * vX_[2915] +
+ vX_[7346] * vX_[963] + vX_[7346] * vX_[963] - vX_[3066] * x_in[32];
+ vX_[7346] = vX_[3051] * 0.47422804 + vX_[3052] * 0.0825825 + vX_[3053] * 0.081641 + (0 - vX_[3048]) * 2.1e-05 +
+ vX_[3058] * -0.000102;
+ vX_[3285] = (0 - vX_[3053]) * -0.007418;
+ vX_[9342] = vX_[509] + vX_[3285] - vX_[9342];
+ vX_[509] = vX_[3047] * vX_[180] + vX_[3051] * vX_[192] + vX_[3052] * vX_[185] + vX_[3048] * vX_[226] +
+ vX_[3058] * vX_[222];
+ vX_[9342] = vX_[462] * -0.35 + vX_[7345] * vX_[169] + vX_[3064] * vX_[167] + vX_[1384] * vX_[968] +
+ vX_[1655] * vX_[2924] + vX_[8189] * vX_[816] + vX_[7346] * vX_[1018] + vX_[9342] * vX_[775] +
+ vX_[9342] * vX_[775] + vX_[509] * x_in[31];
+ vX_[3285] = vX_[7352] - vX_[3285] - vX_[9324];
+ vX_[9324] = vX_[3047] * vX_[189] + vX_[3051] * vX_[193] + vX_[3052] * vX_[187] + vX_[3048] * vX_[220] +
+ vX_[3058] * vX_[226];
+ vX_[3285] = vX_[7345] * vX_[175] + vX_[3064] * vX_[169] + vX_[1958] * vX_[968] + vX_[7314] * vX_[797] +
+ vX_[7158] * vX_[816] + vX_[7346] * vX_[775] + vX_[3285] * vX_[1018] + vX_[3285] * vX_[1018] -
+ vX_[9324] * x_in[31];
+ vX_[6902] = vX_[7277] - vX_[3264] + vX_[6902];
+ vX_[3264] = vX_[3034] * 0.1466472 + vX_[3040] * -0.5824264 + vX_[3030] * -5.1e-05 + (0 - vX_[3043]) * -0.123672 +
+ (0 - vX_[3045]) * 3.6e-05;
+ vX_[7277] = vX_[3043] * 0.022734;
+ vX_[1683] = vX_[730] - vX_[1683] - vX_[7277];
+ vX_[730] = vX_[3034] * vX_[205] + vX_[3006] * vX_[577] + vX_[3040] * vX_[528] + vX_[3043] * vX_[526] +
+ vX_[3045] * vX_[579];
+ vX_[1683] = vX_[9342] * vX_[195] + vX_[3285] * vX_[186] + vX_[6902] * vX_[3339] + vX_[9317] * vX_[3838] +
+ vX_[3264] * vX_[4087] + vX_[7751] * vX_[824] + vX_[1683] * vX_[3807] + vX_[1683] * vX_[3807] -
+ vX_[730] * x_in[30];
+ vX_[3095] = vX_[3095] * vX_[2018];
+ vX_[7751] = vX_[3095] * vX_[169];
+ vX_[3096] = vX_[3096] * vX_[2018];
+ vX_[9317] = vX_[3096] * vX_[167];
+ vX_[3097] = vX_[3097] * vX_[2018];
+ vX_[3067] = vX_[3067] * vX_[2013];
+ vX_[7346] = vX_[3067] * vX_[169];
+ vX_[7158] = vX_[3067] * vX_[167];
+ vX_[3083] = vX_[3083] * vX_[2025];
+ vX_[7314] = vX_[3083] * vX_[167];
+ vX_[3071] = vX_[3071] * vX_[2015];
+ vX_[1958] = vX_[3071] * vX_[169];
+ vX_[3069] = vX_[3069] * vX_[2013];
+ vX_[7352] = vX_[3069] * vX_[169];
+ vX_[8189] = 0 - vX_[7352];
+ vX_[1655] = vX_[3069] * vX_[167];
+ vX_[1384] = 0 - vX_[7158];
+ vX_[462] = vX_[3083] * vX_[169];
+ vX_[3084] = vX_[3084] * vX_[2025];
+ vX_[7746] = 0 - vX_[3084];
+ vX_[478] = vX_[7746] * vX_[169];
+ vX_[3049] = vX_[3084] * vX_[167];
+ vX_[1677] = vX_[3095] + vX_[3071];
+ vX_[3072] = vX_[3072] * vX_[2015];
+ vX_[8179] = 0 - vX_[3096] - vX_[3072];
+ vX_[8188] = vX_[1677] * vX_[167] + vX_[8179] * vX_[169];
+ vX_[3062] = vX_[3072] * vX_[167];
+ vX_[3089] = vX_[3089] * vX_[2025] + vX_[3077] * vX_[2013];
+ vX_[3077] = 0 - vX_[3089];
+ vX_[3060] = 0 - vX_[3089];
+ vX_[3665] = vX_[3060] * vX_[169];
+ vX_[3661] = vX_[3089] * vX_[167];
+ vX_[7370] = vX_[3090] * vX_[1209] + vX_[3276] * vX_[1159] + vX_[3279] * vX_[1194];
+ vX_[7358] = 0 - vX_[7370];
+ vX_[7369] = vX_[3090] * vX_[1294] + vX_[3276] * vX_[1195] + vX_[3279] * vX_[1153];
+ vX_[7334] = vX_[7358] * x_in[18] + vX_[7369] * x_in[19];
+ vX_[7332] = 0 - vX_[7334];
+ vX_[7495] = 0 - vX_[7334];
+ vX_[1974] = vX_[7495] * vX_[169];
+ vX_[8802] = vX_[7334] * vX_[167];
+ vX_[3090] = vX_[3090] * vX_[1192] + vX_[3276] * vX_[1210] + vX_[3279] * vX_[1295];
+ jac[1137] = vX_[6882] * vX_[1119] + vX_[2786] * vX_[797] + vX_[9324] * vX_[2026] + vX_[509] * vX_[775] + vX_[602] +
+ vX_[3090] * vX_[1214] + vX_[7370] * vX_[1165] + vX_[7369] * vX_[1198];
+ jac[1173] = vX_[7753] * vX_[1968] + vX_[7745] * vX_[1930] + vX_[3066] * vX_[1653] + vX_[3068] * vX_[2915] +
+ vX_[7351] + vX_[3090] * vX_[1225] + vX_[7370] * vX_[1176] + vX_[7369] * vX_[1199];
+ vX_[3066] = vX_[3090] * x_in[32];
+ vX_[3068] = vX_[3066] * vX_[169];
+ vX_[7351] = vX_[3066] * vX_[167];
+ vX_[7753] = vX_[3090] * x_in[31];
+ vX_[7745] = vX_[7370] * x_in[30];
+ vX_[9324] = 0 - vX_[7745];
+ vX_[509] = vX_[7753] * vX_[169];
+ vX_[602] = 0 - vX_[7745];
+ vX_[6882] = vX_[602] * vX_[169];
+ vX_[2786] = vX_[7753] * vX_[167];
+ vX_[3279] = vX_[7745] * vX_[167];
+ vX_[3276] = vX_[3101] * vX_[1180];
+ vX_[2388] = 0 - vX_[3276];
+ vX_[7337] = 0 - vX_[3276];
+ vX_[996] = vX_[7337] * vX_[169];
+ vX_[3302] = vX_[3276] * vX_[167];
+ vX_[7094] = 0 - vX_[2667];
+ vX_[7360] = 0 - vX_[7761];
+ vX_[7311] = 0 - vX_[7311] + vX_[2768];
+ vX_[2768] = 0 - vX_[7794];
+ vX_[6917] = 0 - vX_[6917];
+ vX_[3061] = vX_[3061] * vX_[2013];
+ vX_[7320] = vX_[3061] * vX_[167];
+ vX_[3063] = vX_[3063] * vX_[2013];
+ vX_[7343] = 0 - vX_[3063];
+ vX_[7333] = vX_[7343] * vX_[169];
+ vX_[3065] = vX_[3065] * vX_[2013];
+ vX_[3082] = vX_[3082] * vX_[2025];
+ vX_[3098] = vX_[3098] * vX_[2018];
+ vX_[7342] = vX_[3098] * vX_[169];
+ vX_[6936] = vX_[3098] * vX_[167];
+ vX_[7355] = 0 - vX_[6936];
+ vX_[3087] = vX_[3087] * vX_[1124];
+ vX_[6953] = vX_[3087] * vX_[167];
+ vX_[3099] = vX_[3099] * vX_[2018];
+ vX_[7340] = vX_[3099] * vX_[169];
+ vX_[7354] = vX_[3099] * vX_[167];
+ vX_[3088] = vX_[3088] * vX_[1124];
+ vX_[7338] = 0 - vX_[3088];
+ vX_[7367] = vX_[7338] * vX_[169];
+ vX_[7366] = vX_[3061] + vX_[3087];
+ vX_[3088] = vX_[3063] + vX_[3088];
+ vX_[3063] = vX_[7366] * vX_[169] + vX_[3088] * vX_[167];
+ vX_[3085] = vX_[3085] * vX_[2025] + vX_[3076] * vX_[2018];
+ vX_[3076] = 0 - vX_[3085];
+ vX_[3331] = 0 - vX_[3085];
+ vX_[2368] = vX_[3331] * vX_[169];
+ vX_[3226] = vX_[3085] * vX_[167];
+ vX_[6894] = 0 - vX_[7369];
+ vX_[7330] = vX_[3090] * x_in[18] + vX_[6894] * x_in[20];
+ vX_[7328] = 0 - vX_[7330];
+ vX_[7323] = vX_[7330] * vX_[167];
+ vX_[7322] = vX_[3090] * x_in[30];
+ vX_[7319] = vX_[7322] * vX_[167];
+ vX_[7318] = vX_[7370] * x_in[32];
+ vX_[7327] = vX_[7318] * vX_[169];
+ vX_[7326] = vX_[7318] * vX_[167];
+ vX_[7325] = vX_[7370] * x_in[31];
+ vX_[7324] = vX_[7322] * vX_[169];
+ vX_[6887] = vX_[7325] * vX_[169];
+ vX_[6789] = vX_[7325] * vX_[167];
+ vX_[5530] = vX_[3101] * vX_[1246];
+ vX_[6465] = 0 - vX_[5530];
+ vX_[6275] = 0 - vX_[7330];
+ vX_[6850] = 0 - vX_[5530];
+ vX_[2361] = vX_[6275] * vX_[169] + vX_[6850] * vX_[169];
+ vX_[5835] = vX_[5530] * vX_[167];
+ jac[453] =
+ 0 -
+ (0 - (vX_[2943] * vX_[1621] + vX_[1957] * x_in[22]) +
+ (vX_[2950] * vX_[1621] + vX_[2493] * vX_[249] + vX_[1957] * x_in[20]) * 0.3735 -
+ (vX_[2941] * vX_[4058] + vX_[1915] * x_in[23]) + (vX_[2955] * vX_[4058] + vX_[1915] * x_in[19]) * -0.3735 +
+ (vX_[2961] * vX_[4058] +
+ (vX_[8135] * vX_[530] + vX_[7794] * vX_[583] + vX_[3738] * vX_[262] + vX_[7922] * vX_[264] +
+ vX_[2667] * vX_[234] + vX_[7761] * vX_[243] + vX_[950] * vX_[246] + vX_[1750] * vX_[263] +
+ vX_[7757] * vX_[252] + vX_[1700] * vX_[528] + vX_[7794] * vX_[580] + vX_[3091] * vX_[205] +
+ vX_[1681] * vX_[535]) *
+ -1 +
+ vX_[1915] * x_in[18]) *
+ -0.207 -
+ (vX_[2950] * vX_[1314] + vX_[2955] * vX_[1268] + vX_[7312] * vX_[707] + vX_[1965] * vX_[705] +
+ vX_[1676] * vX_[703] + vX_[2808] * vX_[588] + vX_[2046] * vX_[252] + vX_[7372] * vX_[692] +
+ vX_[7371] * vX_[161] + vX_[2775] * vX_[234] + vX_[1617] * vX_[671] + vX_[1843] * vX_[646] +
+ vX_[282] * vX_[270] + vX_[285] * vX_[260] + vX_[9372] * vX_[672] + vX_[1869] * vX_[649] +
+ vX_[7767] * vX_[647] + vX_[7764] * vX_[582] + vX_[7781] * vX_[648] + vX_[7902] * vX_[645] +
+ vX_[284] * vX_[259] + vX_[281] * vX_[269] + vX_[8151] * vX_[589] + vX_[2024] * vX_[587] +
+ vX_[434] * vX_[585] + vX_[7747] * vX_[626] + vX_[7770] * vX_[627] + vX_[9252] * vX_[536] +
+ vX_[9089] * vX_[532] + vX_[1345] * vX_[584] + vX_[2493] * vX_[250] + vX_[1691] * x_in[19] +
+ vX_[1683] * x_in[20]) +
+ vX_[3050] * vX_[2013] + vX_[3086] * vX_[1124] + vX_[7751] * vX_[166] + vX_[9317] * vX_[166] +
+ (0 - vX_[3097]) * 0.3735 + vX_[3097] * vX_[166] * -0.35 + vX_[7346] * 0.35 + vX_[7346] * vX_[186] * 0.08 +
+ vX_[7346] * vX_[166] * 0.3735 + vX_[7158] * vX_[186] * 0.3735 + vX_[7314] * vX_[186] * 0.207 +
+ vX_[1958] * vX_[166] + vX_[8189] * vX_[186] * 0.3735 + vX_[1655] * 0.35 +
+ (vX_[1384] * vX_[166] + vX_[1655] * vX_[186]) * 0.08 + vX_[1655] * vX_[166] * 0.3735 +
+ (vX_[462] * vX_[166] + vX_[478] * vX_[186]) * 0.207 + vX_[3049] * vX_[166] * 0.207 + vX_[8188] * vX_[186] +
+ vX_[3062] * vX_[166] + (vX_[7352] * vX_[166] - vX_[3089]) * 0.08 + vX_[3077] * vX_[186] * 0.35 +
+ vX_[3665] * vX_[186] * 0.33 + vX_[3661] * vX_[166] * 0.33 + (0 - vX_[7334]) * 0.08 +
+ vX_[7332] * vX_[186] * 0.35 + vX_[1974] * vX_[186] * 0.33 + vX_[8802] * vX_[166] * 0.33 +
+ vX_[3068] * vX_[166] * 0.33 + vX_[7351] * vX_[186] * 0.33 + vX_[7753] * vX_[166] * 0.35 +
+ (0 - vX_[7745]) * 0.08 + vX_[9324] * vX_[186] * 0.35 + (vX_[509] * vX_[166] + vX_[6882] * vX_[186]) * 0.33 +
+ (vX_[2786] * vX_[186] + vX_[3279] * vX_[166]) * 0.33 + (0 - vX_[3276]) * 0.08 +
+ vX_[2388] * vX_[186] * 0.35 + vX_[996] * vX_[186] * 0.33 + vX_[3302] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[2941] * vX_[1621] + vX_[2950] * vX_[1268] + vX_[7312] * vX_[703] + vX_[2808] * vX_[252] +
+ vX_[3343] * vX_[161] + vX_[7372] * vX_[234] + vX_[1843] * vX_[649] + vX_[282] * vX_[260] +
+ vX_[9372] * vX_[671] + vX_[7767] * vX_[648] + vX_[7764] * vX_[645] + vX_[284] * vX_[269] +
+ vX_[8151] * vX_[585] + vX_[7747] * vX_[627] + vX_[1596] * vX_[532] + vX_[9252] * vX_[584] +
+ (vX_[7769] * vX_[581] + vX_[7793] * vX_[214] + vX_[1208] * vX_[264] + vX_[7305] * vX_[238] +
+ vX_[840] * vX_[253] + vX_[7094] * vX_[237] + vX_[2643] * vX_[246] + vX_[7360] * vX_[234] +
+ vX_[7782] * vX_[252] + vX_[7311] * vX_[263] + vX_[7769] * vX_[577] + vX_[2768] * vX_[527] +
+ vX_[1208] * vX_[268] + vX_[840] * vX_[524]) *
+ 0.207 +
+ vX_[1957] * x_in[23] + vX_[1691] * x_in[20] +
+ (vX_[2955] * vX_[1621] + vX_[2493] * vX_[247] + vX_[1957] * x_in[19]) * 0.3735 +
+ (vX_[2961] * vX_[1621] + vX_[1957] * x_in[18]) * 0.207 - (vX_[2943] * vX_[4058] + vX_[1915] * x_in[22]) +
+ (vX_[2950] * vX_[4058] + vX_[1915] * x_in[20]) * 0.3735 -
+ (vX_[2955] * vX_[1314] + vX_[1965] * vX_[704] + vX_[1676] * vX_[707] + vX_[6917] * vX_[588] +
+ vX_[7371] * vX_[234] + vX_[3643] * vX_[692] + vX_[1617] * vX_[672] + vX_[285] * vX_[270] +
+ vX_[1869] * vX_[646] + vX_[7781] * vX_[647] + vX_[7902] * vX_[582] + vX_[281] * vX_[259] +
+ vX_[2024] * vX_[586] + vX_[434] * vX_[589] + vX_[7760] * vX_[626] + vX_[9089] * vX_[584] +
+ vX_[9031] * vX_[536] + vX_[2493] * vX_[248] + vX_[1683] * x_in[19]) -
+ vX_[3094] * vX_[2018] + vX_[7320] * vX_[186] + vX_[7333] * vX_[186] + (0 - vX_[3065]) * 0.3735 +
+ vX_[3065] * vX_[166] * -0.35 + (0 - vX_[3082]) * 0.207 - vX_[3070] * vX_[2015] + (0 - vX_[7342]) * 0.35 +
+ (0 - vX_[7342] * vX_[186]) * 0.08 + vX_[7342] * vX_[166] * -0.3735 + vX_[7355] * vX_[186] * 0.3735 +
+ vX_[6936] * vX_[166] * 0.08 + vX_[6953] * vX_[186] + vX_[7340] * vX_[186] * 0.3735 +
+ (0 - vX_[7340] * vX_[166]) * 0.08 + (0 - vX_[7354]) * 0.35 + (0 - vX_[7354] * vX_[186]) * 0.08 +
+ vX_[7354] * vX_[166] * -0.3735 + vX_[7367] * vX_[186] + vX_[3063] * vX_[166] + vX_[3076] * vX_[186] * 0.35 +
+ vX_[2368] * vX_[186] * 0.33 + vX_[3226] * vX_[166] * 0.33 + (0 - vX_[7330]) * 0.08 +
+ vX_[7328] * vX_[186] * 0.35 + vX_[7323] * vX_[166] * 0.33 + (0 - vX_[3085] + vX_[7322]) * 0.08 +
+ vX_[7322] * vX_[186] * 0.35 + vX_[7319] * vX_[166] * -0.33 + vX_[7327] * vX_[166] * 0.33 +
+ vX_[7326] * vX_[186] * 0.33 + vX_[7325] * vX_[166] * 0.35 +
+ (vX_[7324] * vX_[186] + vX_[6887] * vX_[166]) * 0.33 + vX_[6789] * vX_[186] * 0.33 +
+ (0 - vX_[5530]) * 0.08 + vX_[6465] * vX_[186] * 0.35 + vX_[2361] * vX_[186] * 0.33 +
+ vX_[5835] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[1676] = vX_[3468] * 0.881 + (0 - vX_[3470]) * -0.000881;
+ vX_[1965] = vX_[3466] * -0.881;
+ vX_[7312] = vX_[3470] * 0.110125;
+ vX_[7305] = vX_[1965] - vX_[7312];
+ vX_[3738] = vX_[1676] * vX_[2915] + vX_[7305] * vX_[963];
+ vX_[2493] = vX_[3458] * 3.146 + (0 - vX_[3459]) * 0.0825825;
+ vX_[7793] = vX_[3457] * -3.146;
+ vX_[7770] = vX_[3459] * 0.47422804;
+ vX_[7781] = vX_[7793] - vX_[7770];
+ vX_[7767] = vX_[3738] + vX_[2493] * vX_[775] + vX_[7781] * vX_[1018];
+ vX_[8135] = vX_[3446] * 3.44 + vX_[3449] * -0.5824264;
+ vX_[7760] = 0 - vX_[8135];
+ vX_[7747] = vX_[3440] * 3.44 + (0 - vX_[3449]) * 0.1466472;
+ vX_[7902] = vX_[3440] * vX_[252] + vX_[3412] * vX_[234] + vX_[3446] * vX_[243] + vX_[3449] * vX_[528] +
+ vX_[3451] * vX_[580];
+ vX_[1869] = vX_[7767] * -1 + vX_[7760] * vX_[4087] + vX_[7747] * vX_[3807] + vX_[7902] * x_in[30];
+ vX_[1843] = vX_[3240] - vX_[6654];
+ vX_[7764] = vX_[3350] + vX_[7467];
+ vX_[9372] = vX_[1843] * vX_[249] + vX_[7764] * vX_[247];
+ vX_[1617] = vX_[6645] - vX_[6654];
+ vX_[7922] = vX_[1617] * vX_[249];
+ vX_[281] = vX_[1843] * vX_[235] + vX_[7764] * vX_[249];
+ vX_[282] = vX_[1617] * vX_[247];
+ vX_[284] = vX_[281] + vX_[282];
+ vX_[285] = vX_[9372] * vX_[235] + vX_[7922] * vX_[247] + vX_[284] * vX_[249];
+ vX_[1345] = 0 - vX_[285];
+ vX_[9031] = vX_[6654] + vX_[281] * vX_[235] + vX_[7922] * vX_[249];
+ vX_[1596] = 0 - vX_[9031];
+ vX_[9089] = vX_[6654] + vX_[9372] * vX_[249] + vX_[282] * vX_[247];
+ vX_[2024] = vX_[6643] + vX_[6430];
+ vX_[9252] = vX_[6624] + vX_[3351] - vX_[2024];
+ vX_[434] = vX_[6660] + vX_[6632];
+ vX_[8151] = 0 - (vX_[7531] + vX_[3352]) + vX_[434];
+ vX_[3094] = (vX_[434] * vX_[235] + vX_[2024] * vX_[249]) * -1;
+ vX_[3086] = 0 - (vX_[9252] * vX_[249] + vX_[8151] * vX_[247]) + vX_[3094];
+ vX_[3070] = vX_[3086] + vX_[9031] * vX_[236];
+ vX_[3050] = 0 - vX_[3070];
+ vX_[3220] = (vX_[434] * vX_[249] + vX_[2024] * vX_[247]) * -1;
+ vX_[5809] = vX_[9252] * vX_[235] + vX_[8151] * vX_[249] + vX_[3220];
+ vX_[2776] = 0 - vX_[9089];
+ vX_[1573] = vX_[5809] + vX_[285] * vX_[236] + vX_[2776] * vX_[165];
+ vX_[2790] = vX_[2953] + vX_[7504];
+ vX_[6878] = vX_[2524] + vX_[7460];
+ vX_[3215] = vX_[2790] * vX_[247] + vX_[6878] * vX_[249];
+ vX_[2773] = vX_[6667] + vX_[3355];
+ vX_[6884] = vX_[6635] + vX_[7468];
+ vX_[2132] = vX_[2773] * vX_[249] + vX_[6884] * vX_[247];
+ vX_[2130] = vX_[3215] * vX_[235] + vX_[2132] * vX_[249];
+ vX_[2788] = vX_[3360] + vX_[6656];
+ vX_[6885] = vX_[6618] + vX_[6633];
+ vX_[2771] = 0 - vX_[6885];
+ vX_[2802] = vX_[2788] * vX_[249] + vX_[2771] * vX_[247];
+ vX_[3246] = 0 - vX_[2802];
+ vX_[6498] = vX_[2130] + vX_[3246] * vX_[165] + vX_[1596] * vX_[251];
+ vX_[3230] = 0 - vX_[6498];
+ vX_[6945] = vX_[2790] * vX_[249] + vX_[6878] * vX_[235];
+ vX_[6944] = vX_[2773] * vX_[235] + vX_[6884] * vX_[249];
+ vX_[8300] = vX_[6945] * vX_[249] + vX_[6944] * vX_[247];
+ vX_[6885] = 0 - vX_[6885];
+ vX_[2419] = vX_[2788] * vX_[235] + vX_[6885] * vX_[249];
+ vX_[3318] = 0 - vX_[2419];
+ vX_[2803] = vX_[8300] + vX_[3318] * vX_[236] + vX_[9089] * vX_[251];
+ vX_[2814] = vX_[6945] * vX_[235] + vX_[6944] * vX_[249];
+ vX_[6919] = vX_[2814] + vX_[2802] * vX_[236];
+ vX_[6918] = vX_[3215] * vX_[249] + vX_[2132] * vX_[247];
+ vX_[6924] = vX_[6918] + vX_[2419] * vX_[165] + vX_[1345] * vX_[251];
+ vX_[6925] = 0 - vX_[6919] + vX_[6924];
+ vX_[1712] = 0 - vX_[285];
+ vX_[1945] = 0 - vX_[9031];
+ vX_[1596] = vX_[1345] * vX_[583] + vX_[1596] * vX_[530] + vX_[9089] * vX_[214] + vX_[3050] * vX_[252] +
+ vX_[1573] * vX_[263] + vX_[3230] * vX_[243] + vX_[2803] * vX_[237] + vX_[6925] * vX_[234] +
+ vX_[1712] * vX_[580] + vX_[285] * vX_[577] + vX_[1945] * vX_[529] + vX_[9089] * vX_[533];
+ vX_[1345] = 0 - vX_[1676];
+ vX_[2491] = vX_[3455] * 0.881 + (0 - vX_[3472]) * 0.110125 + vX_[3474] * -0.000881;
+ vX_[8551] = vX_[3466] * -0.00370574557885489 + vX_[3468] * 0.880970354035369;
+ vX_[2417] = vX_[1345] * vX_[789] + vX_[2491] * vX_[963] + vX_[8551] * x_in[32];
+ vX_[7312] = 0 - vX_[1965] + vX_[7312];
+ vX_[1965] = 0 - vX_[2491];
+ vX_[2406] = vX_[3466] * 0.417781802643138 + vX_[3468] * -0.00370574557885489;
+ vX_[8742] = vX_[7312] * vX_[789] + vX_[1965] * vX_[2915] - vX_[2406] * x_in[32];
+ vX_[6929] = 0 - vX_[2493];
+ vX_[8478] = vX_[3453] * 3.146 + (0 - vX_[3454]) * 0.47422804 + vX_[3464] * 0.0825825;
+ vX_[6932] = vX_[3457] * vX_[211] + vX_[3458] * vX_[210] + vX_[3454] * vX_[187] + vX_[3464] * vX_[185];
+ vX_[8724] = vX_[2417] * vX_[169] + vX_[8742] * vX_[167] + vX_[6929] * vX_[816] + vX_[8478] * vX_[1018] +
+ vX_[6932] * x_in[31];
+ vX_[7770] = 0 - vX_[7793] + vX_[7770];
+ vX_[7793] = 0 - vX_[8478];
+ vX_[6943] = vX_[3457] * vX_[209] + vX_[3458] * vX_[211] + vX_[3454] * vX_[193] + vX_[3464] * vX_[192];
+ vX_[6931] = vX_[2417] * vX_[1069] + vX_[8742] * vX_[169] + vX_[7770] * vX_[816] + vX_[7793] * vX_[775] -
+ vX_[6943] * x_in[31];
+ vX_[6942] = vX_[3412] * -3.44;
+ vX_[6907] = vX_[3436] * 0.1466472;
+ vX_[6905] = vX_[3451] * -0.5824264;
+ vX_[7068] = 0 - vX_[6942] + vX_[6907] - vX_[6905];
+ vX_[7803] = 0 - vX_[7747];
+ vX_[7735] = vX_[3440] * vX_[263] + vX_[3412] * vX_[237] + vX_[3446] * vX_[234] + vX_[3449] * vX_[577] +
+ vX_[3451] * vX_[527];
+ vX_[2793] = vX_[8724] * vX_[1065] + vX_[6931] * vX_[186] + vX_[7068] * vX_[4087] + vX_[7803] * vX_[824] -
+ vX_[7735] * x_in[30];
+ vX_[6910] = vX_[3240] + vX_[6645] + vX_[6654] - vX_[9031] - vX_[9089];
+ vX_[3019] = 0 - vX_[6910];
+ vX_[3094] = vX_[3094] + vX_[3019] * vX_[236];
+ vX_[3220] = vX_[3220] + vX_[6910] * vX_[165];
+ vX_[2129] = 0 - vX_[1573];
+ vX_[4002] = 0 - vX_[2803];
+ vX_[6933] = vX_[6625] + vX_[6641] + vX_[6878] + vX_[6884] - vX_[2814] - vX_[6918];
+ vX_[6924] = vX_[6933] - vX_[6924];
+ vX_[6893] = 0 - vX_[2802];
+ vX_[6916] = 0 - vX_[285];
+ vX_[6906] = 0 - vX_[9089];
+ vX_[6915] = vX_[7462] - vX_[3353];
+ vX_[3594] = vX_[2951] - vX_[3353];
+ vX_[6928] = vX_[7464] + vX_[7451];
+ vX_[3593] = vX_[7534] + vX_[2952];
+ vX_[6913] = vX_[2942] + vX_[7512];
+ vX_[6927] = 0 - vX_[6913];
+ vX_[6911] = vX_[6915] * vX_[249] + vX_[6928] * vX_[247];
+ vX_[6940] = vX_[3594] * vX_[249];
+ vX_[6939] = vX_[6915] * vX_[235] + vX_[6928] * vX_[249];
+ vX_[8921] = vX_[3594] * vX_[247];
+ vX_[6261] = vX_[6939] + vX_[8921];
+ vX_[3363] = vX_[3455] * -0.000881 + vX_[3474] * -0.000227999999999999;
+ vX_[6475] = vX_[3455] * 0.110125 + (0 - vX_[3472]) * 0.025713;
+ vX_[6903] = (0 - vX_[3466]) * -0.000881;
+ vX_[6901] = (0 - vX_[3468]) * 0.110125;
+ vX_[6896] = vX_[6903] + vX_[6901];
+ vX_[6896] = vX_[1345] * vX_[1930] + vX_[7312] * vX_[2925] + vX_[3363] * vX_[2915] + vX_[6475] * vX_[963] +
+ vX_[6896] * vX_[789] + vX_[6896] * vX_[789];
+ vX_[7312] = vX_[3453] * 0.0825825 + (0 - vX_[3459]) * -0.000102 + vX_[3454] * -0.007418 + vX_[3464] * 0.002735;
+ vX_[1345] = vX_[3453] * 0.47422804 + vX_[3459] * 2.1e-05 + (0 - vX_[3454]) * 0.084376 + (0 - vX_[3464]) * -0.007418;
+ vX_[6895] = (0 - vX_[3457]) * 0.0825825;
+ vX_[6892] = (0 - vX_[3458]) * 0.47422804;
+ vX_[6891] = vX_[3454] * -0.000102;
+ vX_[6900] = (0 - vX_[3464]) * 2.1e-05;
+ vX_[6899] = vX_[6895] + vX_[6892] + vX_[6891] + vX_[6900];
+ vX_[6899] = vX_[6896] + vX_[2417] * vX_[1077] + vX_[8742] * vX_[168] + vX_[6929] * vX_[797] +
+ vX_[7770] * vX_[2924] + vX_[7312] * vX_[775] + vX_[1345] * vX_[1018] + vX_[6899] * vX_[816] +
+ vX_[6899] * vX_[816];
+ vX_[7770] = vX_[3412] * -0.5824264 + (0 - vX_[3436]) * 0.022734 + vX_[3449] * 3.6e-05 + vX_[3451] * -0.133138;
+ vX_[6929] = vX_[3412] * 0.1466472 + vX_[3436] * 0.009466 + (0 - vX_[3449]) * -5.1e-05 + vX_[3451] * 0.022734;
+ vX_[6898] = (0 - vX_[3440]) * -0.5824264;
+ vX_[6897] = (0 - vX_[3446]) * 0.1466472;
+ vX_[6470] = (0 - vX_[3436]) * 3.6e-05;
+ vX_[6231] = (0 - vX_[3451]) * -5.1e-05;
+ vX_[6041] = vX_[6898] + vX_[6897] + vX_[6470] - vX_[6231];
+ vX_[5843] = vX_[3440] * vX_[268] + vX_[3412] * vX_[527] + vX_[3446] * vX_[580] + vX_[3449] * vX_[579] +
+ vX_[3451] * vX_[231];
+ vX_[6041] = vX_[8724] * vX_[1066] + vX_[6931] * vX_[201] + vX_[6899] * -1 + vX_[8135] * vX_[3339] +
+ vX_[7803] * vX_[806] + vX_[7770] * vX_[4087] + vX_[6929] * vX_[3807] + vX_[6041] * vX_[824] +
+ vX_[6041] * vX_[824] + vX_[5843] * x_in[30];
+ vX_[3470] = vX_[3466] * 0.110125 + vX_[3468] * -0.000881 + vX_[3470] * 0.025941;
+ vX_[3474] = vX_[3455] * -0.000881 + vX_[3474] * 0.000468;
+ vX_[6901] = vX_[1676] * vX_[812] + vX_[1965] * vX_[2925] + vX_[3363] * vX_[789] + vX_[3470] * vX_[963] +
+ vX_[6901] * vX_[2915] + vX_[6901] * vX_[2915] + vX_[3474] * x_in[32];
+ vX_[3472] = vX_[3455] * -0.110125 + vX_[3472] * 0.026409;
+ vX_[3470] = vX_[7305] * vX_[812] + vX_[2491] * vX_[1930] + vX_[6475] * vX_[789] + vX_[3470] * vX_[2915] +
+ vX_[6903] * vX_[963] + vX_[6903] * vX_[963] - vX_[3472] * x_in[32];
+ vX_[6903] = vX_[3457] * 0.47422804 + vX_[3458] * 0.0825825 + vX_[3459] * 0.081641 + (0 - vX_[3454]) * 2.1e-05 +
+ vX_[3464] * -0.000102;
+ vX_[6475] = (0 - vX_[3459]) * -0.007418;
+ vX_[6900] = vX_[6892] + vX_[6475] - vX_[6900];
+ vX_[6892] = vX_[3453] * vX_[180] + vX_[3457] * vX_[192] + vX_[3458] * vX_[185] + vX_[3454] * vX_[226] +
+ vX_[3464] * vX_[222];
+ vX_[6900] = vX_[3738] * -0.35 + vX_[6901] * vX_[169] + vX_[3470] * vX_[167] + vX_[2493] * vX_[968] +
+ vX_[7793] * vX_[2924] + vX_[7312] * vX_[816] + vX_[6903] * vX_[1018] + vX_[6900] * vX_[775] +
+ vX_[6900] * vX_[775] + vX_[6892] * x_in[31];
+ vX_[6475] = vX_[6895] - vX_[6475] - vX_[6891];
+ vX_[6891] = vX_[3453] * vX_[189] + vX_[3457] * vX_[193] + vX_[3458] * vX_[187] + vX_[3454] * vX_[220] +
+ vX_[3464] * vX_[226];
+ vX_[6475] = vX_[6901] * vX_[175] + vX_[3470] * vX_[169] + vX_[7781] * vX_[968] + vX_[8478] * vX_[797] +
+ vX_[1345] * vX_[816] + vX_[6903] * vX_[775] + vX_[6475] * vX_[1018] + vX_[6475] * vX_[1018] -
+ vX_[6891] * x_in[31];
+ vX_[6905] = vX_[6942] - vX_[6907] + vX_[6905];
+ vX_[6907] = vX_[3440] * 0.1466472 + vX_[3446] * -0.5824264 + vX_[3436] * -5.1e-05 + (0 - vX_[3449]) * -0.123672 +
+ (0 - vX_[3451]) * 3.6e-05;
+ vX_[6942] = vX_[3449] * 0.022734;
+ vX_[6470] = vX_[6898] - vX_[6470] - vX_[6942];
+ vX_[6898] = vX_[3440] * vX_[205] + vX_[3412] * vX_[577] + vX_[3446] * vX_[528] + vX_[3449] * vX_[526] +
+ vX_[3451] * vX_[579];
+ vX_[6470] = vX_[6900] * vX_[195] + vX_[6475] * vX_[186] + vX_[6905] * vX_[3339] + vX_[7747] * vX_[3838] +
+ vX_[6907] * vX_[4087] + vX_[6929] * vX_[824] + vX_[6470] * vX_[3807] + vX_[6470] * vX_[3807] -
+ vX_[6898] * x_in[30];
+ vX_[3501] = vX_[3501] * vX_[2018];
+ vX_[6929] = vX_[3501] * vX_[169];
+ vX_[3502] = vX_[3502] * vX_[2018];
+ vX_[7747] = vX_[3502] * vX_[167];
+ vX_[3503] = vX_[3503] * vX_[2018];
+ vX_[3473] = vX_[3473] * vX_[2013];
+ vX_[6903] = vX_[3473] * vX_[169];
+ vX_[1345] = vX_[3473] * vX_[167];
+ vX_[3489] = vX_[3489] * vX_[2025];
+ vX_[8478] = vX_[3489] * vX_[167];
+ vX_[3477] = vX_[3477] * vX_[2015];
+ vX_[7781] = vX_[3477] * vX_[169];
+ vX_[3475] = vX_[3475] * vX_[2013];
+ vX_[6895] = vX_[3475] * vX_[169];
+ vX_[7312] = 0 - vX_[6895];
+ vX_[7793] = vX_[3475] * vX_[167];
+ vX_[2493] = 0 - vX_[1345];
+ vX_[3738] = vX_[3489] * vX_[169];
+ vX_[3490] = vX_[3490] * vX_[2025];
+ vX_[2491] = 0 - vX_[3490];
+ vX_[7305] = vX_[2491] * vX_[169];
+ vX_[3455] = vX_[3490] * vX_[167];
+ vX_[3363] = vX_[3501] + vX_[3477];
+ vX_[3478] = vX_[3478] * vX_[2015];
+ vX_[1965] = 0 - vX_[3502] - vX_[3478];
+ vX_[1676] = vX_[3363] * vX_[167] + vX_[1965] * vX_[169];
+ vX_[3468] = vX_[3478] * vX_[167];
+ vX_[3495] = vX_[3495] * vX_[2025] + vX_[3483] * vX_[2013];
+ vX_[3483] = 0 - vX_[3495];
+ vX_[3466] = 0 - vX_[3495];
+ vX_[7803] = vX_[3466] * vX_[169];
+ vX_[6265] = vX_[3495] * vX_[167];
+ vX_[3653] = vX_[3496] * vX_[1209] + vX_[3682] * vX_[1159] + vX_[3685] * vX_[1194];
+ vX_[6284] = 0 - vX_[3653];
+ vX_[4435] = vX_[3496] * vX_[1294] + vX_[3682] * vX_[1195] + vX_[3685] * vX_[1153];
+ vX_[7471] = vX_[6284] * x_in[18] + vX_[4435] * x_in[19];
+ vX_[6271] = 0 - vX_[7471];
+ vX_[6273] = 0 - vX_[7471];
+ vX_[7024] = vX_[6273] * vX_[169];
+ vX_[3217] = vX_[7471] * vX_[167];
+ vX_[3496] = vX_[3496] * vX_[1192] + vX_[3682] * vX_[1210] + vX_[3685] * vX_[1295];
+ jac[1138] = vX_[6943] * vX_[1119] + vX_[6932] * vX_[797] + vX_[6891] * vX_[2026] + vX_[6892] * vX_[775] +
+ vX_[6899] + vX_[3496] * vX_[1214] + vX_[3653] * vX_[1165] + vX_[4435] * vX_[1198];
+ jac[1174] = vX_[2406] * vX_[1968] + vX_[8551] * vX_[1930] + vX_[3472] * vX_[1653] + vX_[3474] * vX_[2915] +
+ vX_[6896] + vX_[3496] * vX_[1225] + vX_[3653] * vX_[1176] + vX_[4435] * vX_[1199];
+ vX_[3472] = vX_[3496] * x_in[32];
+ vX_[3474] = vX_[3472] * vX_[169];
+ vX_[6896] = vX_[3472] * vX_[167];
+ vX_[2406] = vX_[3496] * x_in[31];
+ vX_[8551] = vX_[3653] * x_in[30];
+ vX_[6891] = 0 - vX_[8551];
+ vX_[6892] = vX_[2406] * vX_[169];
+ vX_[6899] = 0 - vX_[8551];
+ vX_[6943] = vX_[6899] * vX_[169];
+ vX_[6932] = vX_[2406] * vX_[167];
+ vX_[3685] = vX_[8551] * vX_[167];
+ vX_[3682] = vX_[3507] * vX_[1180];
+ vX_[7363] = 0 - vX_[3682];
+ vX_[6463] = 0 - vX_[3682];
+ vX_[3213] = vX_[6463] * vX_[169];
+ vX_[6277] = vX_[3682] * vX_[167];
+ vX_[6466] = 0 - vX_[3094];
+ vX_[3233] = 0 - vX_[3220];
+ vX_[6933] = 0 - vX_[6933] + vX_[6919];
+ vX_[6919] = 0 - vX_[2419];
+ vX_[6913] = 0 - vX_[6913];
+ vX_[3467] = vX_[3467] * vX_[2013];
+ vX_[6268] = vX_[3467] * vX_[167];
+ vX_[3469] = vX_[3469] * vX_[2013];
+ vX_[6671] = 0 - vX_[3469];
+ vX_[6468] = vX_[6671] * vX_[169];
+ vX_[3471] = vX_[3471] * vX_[2013];
+ vX_[3488] = vX_[3488] * vX_[2025];
+ vX_[3504] = vX_[3504] * vX_[2018];
+ vX_[6459] = vX_[3504] * vX_[169];
+ vX_[6790] = vX_[3504] * vX_[167];
+ vX_[4420] = 0 - vX_[6790];
+ vX_[3493] = vX_[3493] * vX_[1124];
+ vX_[1376] = vX_[3493] * vX_[167];
+ vX_[3505] = vX_[3505] * vX_[2018];
+ vX_[6684] = vX_[3505] * vX_[169];
+ vX_[6864] = vX_[3505] * vX_[167];
+ vX_[3494] = vX_[3494] * vX_[1124];
+ vX_[3229] = 0 - vX_[3494];
+ vX_[6526] = vX_[3229] * vX_[169];
+ vX_[6525] = vX_[3467] + vX_[3493];
+ vX_[3494] = vX_[3469] + vX_[3494];
+ vX_[3469] = vX_[6525] * vX_[169] + vX_[3494] * vX_[167];
+ vX_[3491] = vX_[3491] * vX_[2025] + vX_[3482] * vX_[2018];
+ vX_[3482] = 0 - vX_[3491];
+ vX_[7435] = 0 - vX_[3491];
+ vX_[7064] = vX_[7435] * vX_[169];
+ vX_[6280] = vX_[3491] * vX_[167];
+ vX_[6279] = 0 - vX_[4435];
+ vX_[3235] = vX_[3496] * x_in[18] + vX_[6279] * x_in[20];
+ vX_[6500] = 0 - vX_[3235];
+ vX_[6499] = vX_[3235] * vX_[167];
+ vX_[6505] = vX_[3496] * x_in[30];
+ vX_[6506] = vX_[6505] * vX_[167];
+ vX_[2758] = vX_[3653] * x_in[32];
+ vX_[8379] = vX_[2758] * vX_[169];
+ vX_[844] = vX_[2758] * vX_[167];
+ vX_[7944] = vX_[3653] * x_in[31];
+ vX_[8308] = vX_[6505] * vX_[169];
+ vX_[7897] = vX_[7944] * vX_[169];
+ vX_[8317] = vX_[7944] * vX_[167];
+ vX_[6510] = vX_[3507] * vX_[1246];
+ vX_[2761] = 0 - vX_[6510];
+ vX_[6513] = 0 - vX_[3235];
+ vX_[8063] = 0 - vX_[6510];
+ vX_[6524] = vX_[6513] * vX_[169] + vX_[8063] * vX_[169];
+ vX_[6512] = vX_[6510] * vX_[167];
+ jac[454] =
+ 0 -
+ (0 - (vX_[3349] * vX_[1621] + vX_[1869] * x_in[22]) +
+ (vX_[3356] * vX_[1621] + vX_[1596] * vX_[249] + vX_[1869] * x_in[20]) * 0.3735 -
+ (vX_[3347] * vX_[4058] + vX_[2793] * x_in[23]) + (vX_[3361] * vX_[4058] + vX_[2793] * x_in[19]) * -0.3735 +
+ (vX_[3367] * vX_[4058] +
+ (vX_[3246] * vX_[530] + vX_[2419] * vX_[583] + vX_[6910] * vX_[262] + vX_[2776] * vX_[264] +
+ vX_[3094] * vX_[234] + vX_[3220] * vX_[243] + vX_[2129] * vX_[246] + vX_[4002] * vX_[263] +
+ vX_[6924] * vX_[252] + vX_[6893] * vX_[528] + vX_[2419] * vX_[580] + vX_[6916] * vX_[205] +
+ vX_[6906] * vX_[535]) *
+ -1 +
+ vX_[2793] * x_in[18]) *
+ -0.207 -
+ (vX_[3356] * vX_[1314] + vX_[3361] * vX_[1268] + vX_[6915] * vX_[707] + vX_[3594] * vX_[705] +
+ vX_[6928] * vX_[703] + vX_[3593] * vX_[588] + vX_[6927] * vX_[252] + vX_[6911] * vX_[692] +
+ vX_[6940] * vX_[161] + vX_[6261] * vX_[234] + vX_[2790] * vX_[671] + vX_[2773] * vX_[646] +
+ vX_[434] * vX_[270] + vX_[2024] * vX_[260] + vX_[6878] * vX_[672] + vX_[6884] * vX_[649] +
+ vX_[6945] * vX_[647] + vX_[3215] * vX_[582] + vX_[6944] * vX_[648] + vX_[2132] * vX_[645] +
+ vX_[9252] * vX_[259] + vX_[8151] * vX_[269] + vX_[1843] * vX_[589] + vX_[1617] * vX_[587] +
+ vX_[7764] * vX_[585] + vX_[2788] * vX_[626] + vX_[6885] * vX_[627] + vX_[9372] * vX_[536] +
+ vX_[7922] * vX_[532] + vX_[284] * vX_[584] + vX_[1596] * vX_[250] + vX_[6041] * x_in[19] +
+ vX_[6470] * x_in[20]) +
+ vX_[3456] * vX_[2013] + vX_[3492] * vX_[1124] + vX_[6929] * vX_[166] + vX_[7747] * vX_[166] +
+ (0 - vX_[3503]) * 0.3735 + vX_[3503] * vX_[166] * -0.35 + vX_[6903] * 0.35 + vX_[6903] * vX_[186] * 0.08 +
+ vX_[6903] * vX_[166] * 0.3735 + vX_[1345] * vX_[186] * 0.3735 + vX_[8478] * vX_[186] * 0.207 +
+ vX_[7781] * vX_[166] + vX_[7312] * vX_[186] * 0.3735 + vX_[7793] * 0.35 +
+ (vX_[2493] * vX_[166] + vX_[7793] * vX_[186]) * 0.08 + vX_[7793] * vX_[166] * 0.3735 +
+ (vX_[3738] * vX_[166] + vX_[7305] * vX_[186]) * 0.207 + vX_[3455] * vX_[166] * 0.207 +
+ vX_[1676] * vX_[186] + vX_[3468] * vX_[166] + (vX_[6895] * vX_[166] - vX_[3495]) * 0.08 +
+ vX_[3483] * vX_[186] * 0.35 + vX_[7803] * vX_[186] * 0.33 + vX_[6265] * vX_[166] * 0.33 +
+ (0 - vX_[7471]) * 0.08 + vX_[6271] * vX_[186] * 0.35 + vX_[7024] * vX_[186] * 0.33 +
+ vX_[3217] * vX_[166] * 0.33 + vX_[3474] * vX_[166] * 0.33 + vX_[6896] * vX_[186] * 0.33 +
+ vX_[2406] * vX_[166] * 0.35 + (0 - vX_[8551]) * 0.08 + vX_[6891] * vX_[186] * 0.35 +
+ (vX_[6892] * vX_[166] + vX_[6943] * vX_[186]) * 0.33 +
+ (vX_[6932] * vX_[186] + vX_[3685] * vX_[166]) * 0.33 + (0 - vX_[3682]) * 0.08 +
+ vX_[7363] * vX_[186] * 0.35 + vX_[3213] * vX_[186] * 0.33 + vX_[6277] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[3347] * vX_[1621] + vX_[3356] * vX_[1268] + vX_[6915] * vX_[703] + vX_[3593] * vX_[252] +
+ vX_[6939] * vX_[161] + vX_[6911] * vX_[234] + vX_[2773] * vX_[649] + vX_[434] * vX_[260] +
+ vX_[6878] * vX_[671] + vX_[6945] * vX_[648] + vX_[3215] * vX_[645] + vX_[9252] * vX_[269] +
+ vX_[1843] * vX_[585] + vX_[2788] * vX_[627] + vX_[281] * vX_[532] + vX_[9372] * vX_[584] +
+ (vX_[2802] * vX_[581] + vX_[3318] * vX_[214] + vX_[285] * vX_[264] + vX_[3019] * vX_[238] +
+ vX_[9031] * vX_[253] + vX_[6466] * vX_[237] + vX_[3070] * vX_[246] + vX_[3233] * vX_[234] +
+ vX_[6498] * vX_[252] + vX_[6933] * vX_[263] + vX_[2802] * vX_[577] + vX_[6919] * vX_[527] +
+ vX_[285] * vX_[268] + vX_[9031] * vX_[524]) *
+ 0.207 +
+ vX_[1869] * x_in[23] + vX_[6041] * x_in[20] +
+ (vX_[3361] * vX_[1621] + vX_[1596] * vX_[247] + vX_[1869] * x_in[19]) * 0.3735 +
+ (vX_[3367] * vX_[1621] + vX_[1869] * x_in[18]) * 0.207 - (vX_[3349] * vX_[4058] + vX_[2793] * x_in[22]) +
+ (vX_[3356] * vX_[4058] + vX_[2793] * x_in[20]) * 0.3735 -
+ (vX_[3361] * vX_[1314] + vX_[3594] * vX_[704] + vX_[6928] * vX_[707] + vX_[6913] * vX_[588] +
+ vX_[6940] * vX_[234] + vX_[8921] * vX_[692] + vX_[2790] * vX_[672] + vX_[2024] * vX_[270] +
+ vX_[6884] * vX_[646] + vX_[6944] * vX_[647] + vX_[2132] * vX_[582] + vX_[8151] * vX_[259] +
+ vX_[1617] * vX_[586] + vX_[7764] * vX_[589] + vX_[2771] * vX_[626] + vX_[7922] * vX_[584] +
+ vX_[282] * vX_[536] + vX_[1596] * vX_[248] + vX_[6470] * x_in[19]) -
+ vX_[3500] * vX_[2018] + vX_[6268] * vX_[186] + vX_[6468] * vX_[186] + (0 - vX_[3471]) * 0.3735 +
+ vX_[3471] * vX_[166] * -0.35 + (0 - vX_[3488]) * 0.207 - vX_[3476] * vX_[2015] + (0 - vX_[6459]) * 0.35 +
+ (0 - vX_[6459] * vX_[186]) * 0.08 + vX_[6459] * vX_[166] * -0.3735 + vX_[4420] * vX_[186] * 0.3735 +
+ vX_[6790] * vX_[166] * 0.08 + vX_[1376] * vX_[186] + vX_[6684] * vX_[186] * 0.3735 +
+ (0 - vX_[6684] * vX_[166]) * 0.08 + (0 - vX_[6864]) * 0.35 + (0 - vX_[6864] * vX_[186]) * 0.08 +
+ vX_[6864] * vX_[166] * -0.3735 + vX_[6526] * vX_[186] + vX_[3469] * vX_[166] + vX_[3482] * vX_[186] * 0.35 +
+ vX_[7064] * vX_[186] * 0.33 + vX_[6280] * vX_[166] * 0.33 + (0 - vX_[3235]) * 0.08 +
+ vX_[6500] * vX_[186] * 0.35 + vX_[6499] * vX_[166] * 0.33 + (0 - vX_[3491] + vX_[6505]) * 0.08 +
+ vX_[6505] * vX_[186] * 0.35 + vX_[6506] * vX_[166] * -0.33 + vX_[8379] * vX_[166] * 0.33 +
+ vX_[844] * vX_[186] * 0.33 + vX_[7944] * vX_[166] * 0.35 +
+ (vX_[8308] * vX_[186] + vX_[7897] * vX_[166]) * 0.33 + vX_[8317] * vX_[186] * 0.33 +
+ (0 - vX_[6510]) * 0.08 + vX_[2761] * vX_[186] * 0.35 + vX_[6524] * vX_[186] * 0.33 +
+ vX_[6512] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[6928] = vX_[3864] * 0.881 + (0 - vX_[3866]) * -0.000881;
+ vX_[3594] = vX_[3862] * -0.881;
+ vX_[6915] = vX_[3866] * 0.110125;
+ vX_[3019] = vX_[3594] - vX_[6915];
+ vX_[6910] = vX_[6928] * vX_[2915] + vX_[3019] * vX_[963];
+ vX_[1596] = vX_[3854] * 3.146 + (0 - vX_[3855]) * 0.0825825;
+ vX_[3318] = vX_[3853] * -3.146;
+ vX_[6885] = vX_[3855] * 0.47422804;
+ vX_[6944] = vX_[3318] - vX_[6885];
+ vX_[6945] = vX_[6910] + vX_[1596] * vX_[775] + vX_[6944] * vX_[1018];
+ vX_[3246] = vX_[3842] * 3.44 + vX_[3845] * -0.5824264;
+ vX_[2771] = 0 - vX_[3246];
+ vX_[2788] = vX_[3836] * 3.44 + (0 - vX_[3845]) * 0.1466472;
+ vX_[2132] = vX_[3836] * vX_[252] + vX_[3808] * vX_[234] + vX_[3842] * vX_[243] + vX_[3845] * vX_[528] +
+ vX_[3847] * vX_[580];
+ vX_[6884] = vX_[6945] * -1 + vX_[2771] * vX_[4087] + vX_[2788] * vX_[3807] + vX_[2132] * x_in[30];
+ vX_[2773] = vX_[3646] - vX_[5774];
+ vX_[3215] = vX_[3746] + vX_[6591];
+ vX_[6878] = vX_[2773] * vX_[249] + vX_[3215] * vX_[247];
+ vX_[2790] = vX_[5572] - vX_[5774];
+ vX_[2776] = vX_[2790] * vX_[249];
+ vX_[8151] = vX_[2773] * vX_[235] + vX_[3215] * vX_[249];
+ vX_[434] = vX_[2790] * vX_[247];
+ vX_[9252] = vX_[8151] + vX_[434];
+ vX_[2024] = vX_[6878] * vX_[235] + vX_[2776] * vX_[247] + vX_[9252] * vX_[249];
+ vX_[284] = 0 - vX_[2024];
+ vX_[282] = vX_[5774] + vX_[8151] * vX_[235] + vX_[2776] * vX_[249];
+ vX_[281] = 0 - vX_[282];
+ vX_[7922] = vX_[5774] + vX_[6878] * vX_[249] + vX_[434] * vX_[247];
+ vX_[1617] = vX_[5766] + vX_[5763];
+ vX_[9372] = vX_[5499] + vX_[3747] - vX_[1617];
+ vX_[7764] = vX_[5777] + vX_[5747];
+ vX_[1843] = 0 - (vX_[6666] + vX_[3748]) + vX_[7764];
+ vX_[3500] = (vX_[7764] * vX_[235] + vX_[1617] * vX_[249]) * -1;
+ vX_[3492] = 0 - (vX_[9372] * vX_[249] + vX_[1843] * vX_[247]) + vX_[3500];
+ vX_[3476] = vX_[3492] + vX_[282] * vX_[236];
+ vX_[3456] = 0 - vX_[3476];
+ vX_[6523] = (vX_[7764] * vX_[249] + vX_[1617] * vX_[247]) * -1;
+ vX_[6488] = vX_[9372] * vX_[235] + vX_[1843] * vX_[249] + vX_[6523];
+ vX_[6486] = 0 - vX_[7922];
+ vX_[6649] = vX_[6488] + vX_[2024] * vX_[236] + vX_[6486] * vX_[165];
+ vX_[7098] = vX_[3359] + vX_[6639];
+ vX_[7453] = vX_[7523] + vX_[6620];
+ vX_[8334] = vX_[7098] * vX_[247] + vX_[7453] * vX_[249];
+ vX_[6491] = vX_[5796] + vX_[3751];
+ vX_[3202] = vX_[5783] + vX_[6608];
+ vX_[3193] = vX_[6491] * vX_[249] + vX_[3202] * vX_[247];
+ vX_[4546] = vX_[8334] * vX_[235] + vX_[3193] * vX_[249];
+ vX_[6514] = vX_[3756] + vX_[5804];
+ vX_[6474] = vX_[5745] + vX_[5753];
+ vX_[6497] = 0 - vX_[6474];
+ vX_[6487] = vX_[6514] * vX_[249] + vX_[6497] * vX_[247];
+ vX_[6496] = 0 - vX_[6487];
+ vX_[4430] = vX_[4546] + vX_[6496] * vX_[165] + vX_[281] * vX_[251];
+ vX_[6509] = 0 - vX_[4430];
+ vX_[4515] = vX_[7098] * vX_[249] + vX_[7453] * vX_[235];
+ vX_[6494] = vX_[6491] * vX_[235] + vX_[3202] * vX_[249];
+ vX_[6508] = vX_[4515] * vX_[249] + vX_[6494] * vX_[247];
+ vX_[6474] = 0 - vX_[6474];
+ vX_[6492] = vX_[6514] * vX_[235] + vX_[6474] * vX_[249];
+ vX_[6521] = 0 - vX_[6492];
+ vX_[6520] = vX_[6508] + vX_[6521] * vX_[236] + vX_[7922] * vX_[251];
+ vX_[3204] = vX_[4515] * vX_[235] + vX_[6494] * vX_[249];
+ vX_[5850] = vX_[3204] + vX_[6487] * vX_[236];
+ vX_[4452] = vX_[8334] * vX_[249] + vX_[3193] * vX_[247];
+ vX_[6046] = vX_[4452] + vX_[6492] * vX_[165] + vX_[284] * vX_[251];
+ vX_[6484] = 0 - vX_[5850] + vX_[6046];
+ vX_[6482] = 0 - vX_[2024];
+ vX_[6477] = 0 - vX_[282];
+ vX_[281] = vX_[284] * vX_[583] + vX_[281] * vX_[530] + vX_[7922] * vX_[214] + vX_[3456] * vX_[252] +
+ vX_[6649] * vX_[263] + vX_[6509] * vX_[243] + vX_[6520] * vX_[237] + vX_[6484] * vX_[234] +
+ vX_[6482] * vX_[580] + vX_[2024] * vX_[577] + vX_[6477] * vX_[529] + vX_[7922] * vX_[533];
+ vX_[284] = 0 - vX_[6928];
+ vX_[6476] = vX_[3851] * 0.881 + (0 - vX_[3868]) * 0.110125 + vX_[3870] * -0.000881;
+ vX_[6473] = vX_[3862] * -0.00370574557885489 + vX_[3864] * 0.880970354035369;
+ vX_[6472] = vX_[284] * vX_[789] + vX_[6476] * vX_[963] + vX_[6473] * x_in[32];
+ vX_[6915] = 0 - vX_[3594] + vX_[6915];
+ vX_[3594] = 0 - vX_[6476];
+ vX_[4415] = vX_[3862] * 0.417781802643138 + vX_[3864] * -0.00370574557885489;
+ vX_[6483] = vX_[6915] * vX_[789] + vX_[3594] * vX_[2915] - vX_[4415] * x_in[32];
+ vX_[6481] = 0 - vX_[1596];
+ vX_[6480] = vX_[3849] * 3.146 + (0 - vX_[3850]) * 0.47422804 + vX_[3860] * 0.0825825;
+ vX_[6479] = vX_[3853] * vX_[211] + vX_[3854] * vX_[210] + vX_[3850] * vX_[187] + vX_[3860] * vX_[185];
+ vX_[6478] = vX_[6472] * vX_[169] + vX_[6483] * vX_[167] + vX_[6481] * vX_[816] + vX_[6480] * vX_[1018] +
+ vX_[6479] * x_in[31];
+ vX_[6885] = 0 - vX_[3318] + vX_[6885];
+ vX_[3318] = 0 - vX_[6480];
+ vX_[6278] = vX_[3853] * vX_[209] + vX_[3854] * vX_[211] + vX_[3850] * vX_[193] + vX_[3860] * vX_[192];
+ vX_[6262] = vX_[6472] * vX_[1069] + vX_[6483] * vX_[169] + vX_[6885] * vX_[816] + vX_[3318] * vX_[775] -
+ vX_[6278] * x_in[31];
+ vX_[6263] = vX_[3808] * -3.44;
+ vX_[6054] = vX_[3832] * 0.1466472;
+ vX_[6457] = vX_[3847] * -0.5824264;
+ vX_[5845] = 0 - vX_[6263] + vX_[6054] - vX_[6457];
+ vX_[6034] = 0 - vX_[2788];
+ vX_[6039] = vX_[3836] * vX_[263] + vX_[3808] * vX_[237] + vX_[3842] * vX_[234] + vX_[3845] * vX_[577] +
+ vX_[3847] * vX_[527];
+ vX_[4045] = vX_[6478] * vX_[1065] + vX_[6262] * vX_[186] + vX_[5845] * vX_[4087] + vX_[6034] * vX_[824] -
+ vX_[6039] * x_in[30];
+ vX_[4536] = vX_[3646] + vX_[5572] + vX_[5774] - vX_[282] - vX_[7922];
+ vX_[5833] = 0 - vX_[4536];
+ vX_[3500] = vX_[3500] + vX_[5833] * vX_[236];
+ vX_[6523] = vX_[6523] + vX_[4536] * vX_[165];
+ vX_[5808] = 0 - vX_[6649];
+ vX_[5855] = 0 - vX_[6520];
+ vX_[5839] = vX_[5754] + vX_[5758] + vX_[7453] + vX_[3202] - vX_[3204] - vX_[4452];
+ vX_[6046] = vX_[5839] - vX_[6046];
+ vX_[5612] = 0 - vX_[6487];
+ vX_[5414] = 0 - vX_[2024];
+ vX_[5841] = 0 - vX_[7922];
+ vX_[7487] = vX_[6607] - vX_[3749];
+ vX_[1375] = vX_[3357] - vX_[3749];
+ vX_[3205] = vX_[6603] + vX_[6589];
+ vX_[6030] = vX_[6675] + vX_[3358];
+ vX_[6161] = vX_[3348] + vX_[6503];
+ vX_[5838] = 0 - vX_[6161];
+ vX_[6036] = vX_[7487] * vX_[249] + vX_[3205] * vX_[247];
+ vX_[3652] = vX_[1375] * vX_[249];
+ vX_[5813] = vX_[7487] * vX_[235] + vX_[3205] * vX_[249];
+ vX_[7470] = vX_[1375] * vX_[247];
+ vX_[6037] = vX_[5813] + vX_[7470];
+ vX_[5847] = vX_[3851] * -0.000881 + vX_[3870] * -0.000227999999999999;
+ vX_[7502] = vX_[3851] * 0.110125 + (0 - vX_[3868]) * 0.025713;
+ vX_[6191] = (0 - vX_[3862]) * -0.000881;
+ vX_[4411] = (0 - vX_[3864]) * 0.110125;
+ vX_[6653] = vX_[6191] + vX_[4411];
+ vX_[6653] = vX_[284] * vX_[1930] + vX_[6915] * vX_[2925] + vX_[5847] * vX_[2915] + vX_[7502] * vX_[963] +
+ vX_[6653] * vX_[789] + vX_[6653] * vX_[789];
+ vX_[6915] = vX_[3849] * 0.0825825 + (0 - vX_[3855]) * -0.000102 + vX_[3850] * -0.007418 + vX_[3860] * 0.002735;
+ vX_[284] = vX_[3849] * 0.47422804 + vX_[3855] * 2.1e-05 + (0 - vX_[3850]) * 0.084376 + (0 - vX_[3860]) * -0.007418;
+ vX_[6097] = (0 - vX_[3853]) * 0.0825825;
+ vX_[6096] = (0 - vX_[3854]) * 0.47422804;
+ vX_[5816] = vX_[3850] * -0.000102;
+ vX_[3640] = (0 - vX_[3860]) * 2.1e-05;
+ vX_[6357] = vX_[6097] + vX_[6096] + vX_[5816] + vX_[3640];
+ vX_[6357] = vX_[6653] + vX_[6472] * vX_[1077] + vX_[6483] * vX_[168] + vX_[6481] * vX_[797] +
+ vX_[6885] * vX_[2924] + vX_[6915] * vX_[775] + vX_[284] * vX_[1018] + vX_[6357] * vX_[816] +
+ vX_[6357] * vX_[816];
+ vX_[6885] = vX_[3808] * -0.5824264 + (0 - vX_[3832]) * 0.022734 + vX_[3845] * 3.6e-05 + vX_[3847] * -0.133138;
+ vX_[6481] = vX_[3808] * 0.1466472 + vX_[3832] * 0.009466 + (0 - vX_[3845]) * -5.1e-05 + vX_[3847] * 0.022734;
+ vX_[4381] = (0 - vX_[3836]) * -0.5824264;
+ vX_[5851] = (0 - vX_[3842]) * 0.1466472;
+ vX_[6071] = (0 - vX_[3832]) * 3.6e-05;
+ vX_[6070] = (0 - vX_[3847]) * -5.1e-05;
+ vX_[6076] = vX_[4381] + vX_[5851] + vX_[6071] - vX_[6070];
+ vX_[6077] = vX_[3836] * vX_[268] + vX_[3808] * vX_[527] + vX_[3842] * vX_[580] + vX_[3845] * vX_[579] +
+ vX_[3847] * vX_[231];
+ vX_[6076] = vX_[6478] * vX_[1066] + vX_[6262] * vX_[201] + vX_[6357] * -1 + vX_[3246] * vX_[3339] +
+ vX_[6034] * vX_[806] + vX_[6885] * vX_[4087] + vX_[6481] * vX_[3807] + vX_[6076] * vX_[824] +
+ vX_[6076] * vX_[824] + vX_[6077] * x_in[30];
+ vX_[3866] = vX_[3862] * 0.110125 + vX_[3864] * -0.000881 + vX_[3866] * 0.025941;
+ vX_[3870] = vX_[3851] * -0.000881 + vX_[3870] * 0.000468;
+ vX_[4411] = vX_[6928] * vX_[812] + vX_[3594] * vX_[2925] + vX_[5847] * vX_[789] + vX_[3866] * vX_[963] +
+ vX_[4411] * vX_[2915] + vX_[4411] * vX_[2915] + vX_[3870] * x_in[32];
+ vX_[3868] = vX_[3851] * -0.110125 + vX_[3868] * 0.026409;
+ vX_[3866] = vX_[3019] * vX_[812] + vX_[6476] * vX_[1930] + vX_[7502] * vX_[789] + vX_[3866] * vX_[2915] +
+ vX_[6191] * vX_[963] + vX_[6191] * vX_[963] - vX_[3868] * x_in[32];
+ vX_[6191] = vX_[3853] * 0.47422804 + vX_[3854] * 0.0825825 + vX_[3855] * 0.081641 + (0 - vX_[3850]) * 2.1e-05 +
+ vX_[3860] * -0.000102;
+ vX_[7502] = (0 - vX_[3855]) * -0.007418;
+ vX_[3640] = vX_[6096] + vX_[7502] - vX_[3640];
+ vX_[6096] = vX_[3849] * vX_[180] + vX_[3853] * vX_[192] + vX_[3854] * vX_[185] + vX_[3850] * vX_[226] +
+ vX_[3860] * vX_[222];
+ vX_[3640] = vX_[6910] * -0.35 + vX_[4411] * vX_[169] + vX_[3866] * vX_[167] + vX_[1596] * vX_[968] +
+ vX_[3318] * vX_[2924] + vX_[6915] * vX_[816] + vX_[6191] * vX_[1018] + vX_[3640] * vX_[775] +
+ vX_[3640] * vX_[775] + vX_[6096] * x_in[31];
+ vX_[7502] = vX_[6097] - vX_[7502] - vX_[5816];
+ vX_[5816] = vX_[3849] * vX_[189] + vX_[3853] * vX_[193] + vX_[3854] * vX_[187] + vX_[3850] * vX_[220] +
+ vX_[3860] * vX_[226];
+ vX_[7502] = vX_[4411] * vX_[175] + vX_[3866] * vX_[169] + vX_[6944] * vX_[968] + vX_[6480] * vX_[797] +
+ vX_[284] * vX_[816] + vX_[6191] * vX_[775] + vX_[7502] * vX_[1018] + vX_[7502] * vX_[1018] -
+ vX_[5816] * x_in[31];
+ vX_[6457] = vX_[6263] - vX_[6054] + vX_[6457];
+ vX_[6054] = vX_[3836] * 0.1466472 + vX_[3842] * -0.5824264 + vX_[3832] * -5.1e-05 + (0 - vX_[3845]) * -0.123672 +
+ (0 - vX_[3847]) * 3.6e-05;
+ vX_[6263] = vX_[3845] * 0.022734;
+ vX_[6071] = vX_[4381] - vX_[6071] - vX_[6263];
+ vX_[4381] = vX_[3836] * vX_[205] + vX_[3808] * vX_[577] + vX_[3842] * vX_[528] + vX_[3845] * vX_[526] +
+ vX_[3847] * vX_[579];
+ vX_[6071] = vX_[3640] * vX_[195] + vX_[7502] * vX_[186] + vX_[6457] * vX_[3339] + vX_[2788] * vX_[3838] +
+ vX_[6054] * vX_[4087] + vX_[6481] * vX_[824] + vX_[6071] * vX_[3807] + vX_[6071] * vX_[3807] -
+ vX_[4381] * x_in[30];
+ vX_[3897] = vX_[3897] * vX_[2018];
+ vX_[6481] = vX_[3897] * vX_[169];
+ vX_[3898] = vX_[3898] * vX_[2018];
+ vX_[2788] = vX_[3898] * vX_[167];
+ vX_[3899] = vX_[3899] * vX_[2018];
+ vX_[3869] = vX_[3869] * vX_[2013];
+ vX_[6191] = vX_[3869] * vX_[169];
+ vX_[284] = vX_[3869] * vX_[167];
+ vX_[3885] = vX_[3885] * vX_[2025];
+ vX_[6480] = vX_[3885] * vX_[167];
+ vX_[3873] = vX_[3873] * vX_[2015];
+ vX_[6944] = vX_[3873] * vX_[169];
+ vX_[3871] = vX_[3871] * vX_[2013];
+ vX_[6097] = vX_[3871] * vX_[169];
+ vX_[6915] = 0 - vX_[6097];
+ vX_[3318] = vX_[3871] * vX_[167];
+ vX_[1596] = 0 - vX_[284];
+ vX_[6910] = vX_[3885] * vX_[169];
+ vX_[3886] = vX_[3886] * vX_[2025];
+ vX_[6476] = 0 - vX_[3886];
+ vX_[3019] = vX_[6476] * vX_[169];
+ vX_[3851] = vX_[3886] * vX_[167];
+ vX_[5847] = vX_[3897] + vX_[3873];
+ vX_[3874] = vX_[3874] * vX_[2015];
+ vX_[3594] = 0 - vX_[3898] - vX_[3874];
+ vX_[6928] = vX_[5847] * vX_[167] + vX_[3594] * vX_[169];
+ vX_[3864] = vX_[3874] * vX_[167];
+ vX_[3891] = vX_[3891] * vX_[2025] + vX_[3879] * vX_[2013];
+ vX_[3879] = 0 - vX_[3891];
+ vX_[3862] = 0 - vX_[3891];
+ vX_[6034] = vX_[3862] * vX_[169];
+ vX_[8062] = vX_[3891] * vX_[167];
+ vX_[3608] = vX_[3892] * vX_[1209] + vX_[4078] * vX_[1159] + vX_[4081] * vX_[1194];
+ vX_[3600] = 0 - vX_[3608];
+ vX_[3610] = vX_[3892] * vX_[1294] + vX_[4078] * vX_[1195] + vX_[4081] * vX_[1153];
+ vX_[3605] = vX_[3600] * x_in[18] + vX_[3610] * x_in[19];
+ vX_[6384] = 0 - vX_[3605];
+ vX_[6214] = 0 - vX_[3605];
+ vX_[6081] = vX_[6214] * vX_[169];
+ vX_[3619] = vX_[3605] * vX_[167];
+ vX_[3892] = vX_[3892] * vX_[1192] + vX_[4078] * vX_[1210] + vX_[4081] * vX_[1295];
+ jac[1139] = vX_[6278] * vX_[1119] + vX_[6479] * vX_[797] + vX_[5816] * vX_[2026] + vX_[6096] * vX_[775] +
+ vX_[6357] + vX_[3892] * vX_[1214] + vX_[3608] * vX_[1165] + vX_[3610] * vX_[1198];
+ jac[1175] = vX_[4415] * vX_[1968] + vX_[6473] * vX_[1930] + vX_[3868] * vX_[1653] + vX_[3870] * vX_[2915] +
+ vX_[6653] + vX_[3892] * vX_[1225] + vX_[3608] * vX_[1176] + vX_[3610] * vX_[1199];
+ vX_[3868] = vX_[3892] * x_in[32];
+ vX_[3870] = vX_[3868] * vX_[169];
+ vX_[6653] = vX_[3868] * vX_[167];
+ vX_[4415] = vX_[3892] * x_in[31];
+ vX_[6473] = vX_[3608] * x_in[30];
+ vX_[5816] = 0 - vX_[6473];
+ vX_[6096] = vX_[4415] * vX_[169];
+ vX_[6357] = 0 - vX_[6473];
+ vX_[6278] = vX_[6357] * vX_[169];
+ vX_[6479] = vX_[4415] * vX_[167];
+ vX_[4081] = vX_[6473] * vX_[167];
+ vX_[4078] = vX_[3903] * vX_[1180];
+ vX_[6084] = 0 - vX_[4078];
+ vX_[3635] = 0 - vX_[4078];
+ vX_[6095] = vX_[3635] * vX_[169];
+ vX_[6083] = vX_[4078] * vX_[167];
+ vX_[6094] = 0 - vX_[3500];
+ vX_[6059] = 0 - vX_[6523];
+ vX_[5839] = 0 - vX_[5839] + vX_[5850];
+ vX_[5850] = 0 - vX_[6492];
+ vX_[6161] = 0 - vX_[6161];
+ vX_[3863] = vX_[3863] * vX_[2013];
+ vX_[6057] = vX_[3863] * vX_[167];
+ vX_[3865] = vX_[3865] * vX_[2013];
+ vX_[6220] = 0 - vX_[3865];
+ vX_[4031] = vX_[6220] * vX_[169];
+ vX_[3867] = vX_[3867] * vX_[2013];
+ vX_[3884] = vX_[3884] * vX_[2025];
+ vX_[3900] = vX_[3900] * vX_[2018];
+ vX_[4017] = vX_[3900] * vX_[169];
+ vX_[3617] = vX_[3900] * vX_[167];
+ vX_[6062] = 0 - vX_[3617];
+ vX_[3889] = vX_[3889] * vX_[1124];
+ vX_[3724] = vX_[3889] * vX_[167];
+ vX_[3901] = vX_[3901] * vX_[2018];
+ vX_[3613] = vX_[3901] * vX_[169];
+ vX_[4833] = vX_[3901] * vX_[167];
+ vX_[3890] = vX_[3890] * vX_[1124];
+ vX_[6085] = 0 - vX_[3890];
+ vX_[6045] = vX_[6085] * vX_[169];
+ vX_[6068] = vX_[3863] + vX_[3889];
+ vX_[3890] = vX_[3865] + vX_[3890];
+ vX_[3865] = vX_[6068] * vX_[169] + vX_[3890] * vX_[167];
+ vX_[3887] = vX_[3887] * vX_[2025] + vX_[3878] * vX_[2018];
+ vX_[3878] = 0 - vX_[3887];
+ vX_[6058] = 0 - vX_[3887];
+ vX_[6067] = vX_[6058] * vX_[169];
+ vX_[4877] = vX_[3887] * vX_[167];
+ vX_[6080] = 0 - vX_[3610];
+ vX_[2192] = vX_[3892] * x_in[18] + vX_[6080] * x_in[20];
+ vX_[6065] = 0 - vX_[2192];
+ vX_[6079] = vX_[2192] * vX_[167];
+ vX_[6063] = vX_[3892] * x_in[30];
+ vX_[6092] = vX_[6063] * vX_[167];
+ vX_[6091] = vX_[3608] * x_in[32];
+ vX_[3651] = vX_[6091] * vX_[169];
+ vX_[5421] = vX_[6091] * vX_[167];
+ vX_[4873] = vX_[3608] * x_in[31];
+ vX_[5617] = vX_[6063] * vX_[169];
+ vX_[6055] = vX_[4873] * vX_[169];
+ vX_[6053] = vX_[4873] * vX_[167];
+ vX_[6048] = vX_[3903] * vX_[1246];
+ vX_[6047] = 0 - vX_[6048];
+ vX_[6044] = 0 - vX_[2192];
+ vX_[6043] = 0 - vX_[6048];
+ vX_[6052] = vX_[6044] * vX_[169] + vX_[6043] * vX_[169];
+ vX_[6051] = vX_[6048] * vX_[167];
+ jac[455] =
+ 0 -
+ (0 - (vX_[3745] * vX_[1621] + vX_[6884] * x_in[22]) +
+ (vX_[3752] * vX_[1621] + vX_[281] * vX_[249] + vX_[6884] * x_in[20]) * 0.3735 -
+ (vX_[2917] * vX_[4058] + vX_[4045] * x_in[23]) + (vX_[3757] * vX_[4058] + vX_[4045] * x_in[19]) * -0.3735 +
+ (vX_[3763] * vX_[4058] +
+ (vX_[6496] * vX_[530] + vX_[6492] * vX_[583] + vX_[4536] * vX_[262] + vX_[6486] * vX_[264] +
+ vX_[3500] * vX_[234] + vX_[6523] * vX_[243] + vX_[5808] * vX_[246] + vX_[5855] * vX_[263] +
+ vX_[6046] * vX_[252] + vX_[5612] * vX_[528] + vX_[6492] * vX_[580] + vX_[5414] * vX_[205] +
+ vX_[5841] * vX_[535]) *
+ -1 +
+ vX_[4045] * x_in[18]) *
+ -0.207 -
+ (vX_[3752] * vX_[1314] + vX_[3757] * vX_[1268] + vX_[7487] * vX_[707] + vX_[1375] * vX_[705] +
+ vX_[3205] * vX_[703] + vX_[6030] * vX_[588] + vX_[5838] * vX_[252] + vX_[6036] * vX_[692] +
+ vX_[3652] * vX_[161] + vX_[6037] * vX_[234] + vX_[7098] * vX_[671] + vX_[6491] * vX_[646] +
+ vX_[7764] * vX_[270] + vX_[1617] * vX_[260] + vX_[7453] * vX_[672] + vX_[3202] * vX_[649] +
+ vX_[4515] * vX_[647] + vX_[8334] * vX_[582] + vX_[6494] * vX_[648] + vX_[3193] * vX_[645] +
+ vX_[9372] * vX_[259] + vX_[1843] * vX_[269] + vX_[2773] * vX_[589] + vX_[2790] * vX_[587] +
+ vX_[3215] * vX_[585] + vX_[6514] * vX_[626] + vX_[6474] * vX_[627] + vX_[6878] * vX_[536] +
+ vX_[2776] * vX_[532] + vX_[9252] * vX_[584] + vX_[281] * vX_[250] + vX_[6076] * x_in[19] +
+ vX_[6071] * x_in[20]) +
+ vX_[3852] * vX_[2013] + vX_[3888] * vX_[1124] + vX_[6481] * vX_[166] + vX_[2788] * vX_[166] +
+ (0 - vX_[3899]) * 0.3735 + vX_[3899] * vX_[166] * -0.35 + vX_[6191] * 0.35 + vX_[6191] * vX_[186] * 0.08 +
+ vX_[6191] * vX_[166] * 0.3735 + vX_[284] * vX_[186] * 0.3735 + vX_[6480] * vX_[186] * 0.207 +
+ vX_[6944] * vX_[166] + vX_[6915] * vX_[186] * 0.3735 + vX_[3318] * 0.35 +
+ (vX_[1596] * vX_[166] + vX_[3318] * vX_[186]) * 0.08 + vX_[3318] * vX_[166] * 0.3735 +
+ (vX_[6910] * vX_[166] + vX_[3019] * vX_[186]) * 0.207 + vX_[3851] * vX_[166] * 0.207 +
+ vX_[6928] * vX_[186] + vX_[3864] * vX_[166] + (vX_[6097] * vX_[166] - vX_[3891]) * 0.08 +
+ vX_[3879] * vX_[186] * 0.35 + vX_[6034] * vX_[186] * 0.33 + vX_[8062] * vX_[166] * 0.33 +
+ (0 - vX_[3605]) * 0.08 + vX_[6384] * vX_[186] * 0.35 + vX_[6081] * vX_[186] * 0.33 +
+ vX_[3619] * vX_[166] * 0.33 + vX_[3870] * vX_[166] * 0.33 + vX_[6653] * vX_[186] * 0.33 +
+ vX_[4415] * vX_[166] * 0.35 + (0 - vX_[6473]) * 0.08 + vX_[5816] * vX_[186] * 0.35 +
+ (vX_[6096] * vX_[166] + vX_[6278] * vX_[186]) * 0.33 +
+ (vX_[6479] * vX_[186] + vX_[4081] * vX_[166]) * 0.33 + (0 - vX_[4078]) * 0.08 +
+ vX_[6084] * vX_[186] * 0.35 + vX_[6095] * vX_[186] * 0.33 + vX_[6083] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[2917] * vX_[1621] + vX_[3752] * vX_[1268] + vX_[7487] * vX_[703] + vX_[6030] * vX_[252] +
+ vX_[5813] * vX_[161] + vX_[6036] * vX_[234] + vX_[6491] * vX_[649] + vX_[7764] * vX_[260] +
+ vX_[7453] * vX_[671] + vX_[4515] * vX_[648] + vX_[8334] * vX_[645] + vX_[9372] * vX_[269] +
+ vX_[2773] * vX_[585] + vX_[6514] * vX_[627] + vX_[8151] * vX_[532] + vX_[6878] * vX_[584] +
+ (vX_[6487] * vX_[581] + vX_[6521] * vX_[214] + vX_[2024] * vX_[264] + vX_[5833] * vX_[238] +
+ vX_[282] * vX_[253] + vX_[6094] * vX_[237] + vX_[3476] * vX_[246] + vX_[6059] * vX_[234] +
+ vX_[4430] * vX_[252] + vX_[5839] * vX_[263] + vX_[6487] * vX_[577] + vX_[5850] * vX_[527] +
+ vX_[2024] * vX_[268] + vX_[282] * vX_[524]) *
+ 0.207 +
+ vX_[6884] * x_in[23] + vX_[6076] * x_in[20] +
+ (vX_[3757] * vX_[1621] + vX_[281] * vX_[247] + vX_[6884] * x_in[19]) * 0.3735 +
+ (vX_[3763] * vX_[1621] + vX_[6884] * x_in[18]) * 0.207 - (vX_[3745] * vX_[4058] + vX_[4045] * x_in[22]) +
+ (vX_[3752] * vX_[4058] + vX_[4045] * x_in[20]) * 0.3735 -
+ (vX_[3757] * vX_[1314] + vX_[1375] * vX_[704] + vX_[3205] * vX_[707] + vX_[6161] * vX_[588] +
+ vX_[3652] * vX_[234] + vX_[7470] * vX_[692] + vX_[7098] * vX_[672] + vX_[1617] * vX_[270] +
+ vX_[3202] * vX_[646] + vX_[6494] * vX_[647] + vX_[3193] * vX_[582] + vX_[1843] * vX_[259] +
+ vX_[2790] * vX_[586] + vX_[3215] * vX_[589] + vX_[6497] * vX_[626] + vX_[2776] * vX_[584] +
+ vX_[434] * vX_[536] + vX_[281] * vX_[248] + vX_[6071] * x_in[19]) -
+ vX_[3896] * vX_[2018] + vX_[6057] * vX_[186] + vX_[4031] * vX_[186] + (0 - vX_[3867]) * 0.3735 +
+ vX_[3867] * vX_[166] * -0.35 + (0 - vX_[3884]) * 0.207 - vX_[3872] * vX_[2015] + (0 - vX_[4017]) * 0.35 +
+ (0 - vX_[4017] * vX_[186]) * 0.08 + vX_[4017] * vX_[166] * -0.3735 + vX_[6062] * vX_[186] * 0.3735 +
+ vX_[3617] * vX_[166] * 0.08 + vX_[3724] * vX_[186] + vX_[3613] * vX_[186] * 0.3735 +
+ (0 - vX_[3613] * vX_[166]) * 0.08 + (0 - vX_[4833]) * 0.35 + (0 - vX_[4833] * vX_[186]) * 0.08 +
+ vX_[4833] * vX_[166] * -0.3735 + vX_[6045] * vX_[186] + vX_[3865] * vX_[166] + vX_[3878] * vX_[186] * 0.35 +
+ vX_[6067] * vX_[186] * 0.33 + vX_[4877] * vX_[166] * 0.33 + (0 - vX_[2192]) * 0.08 +
+ vX_[6065] * vX_[186] * 0.35 + vX_[6079] * vX_[166] * 0.33 + (0 - vX_[3887] + vX_[6063]) * 0.08 +
+ vX_[6063] * vX_[186] * 0.35 + vX_[6092] * vX_[166] * -0.33 + vX_[3651] * vX_[166] * 0.33 +
+ vX_[5421] * vX_[186] * 0.33 + vX_[4873] * vX_[166] * 0.35 +
+ (vX_[5617] * vX_[186] + vX_[6055] * vX_[166]) * 0.33 + vX_[6053] * vX_[186] * 0.33 +
+ (0 - vX_[6048]) * 0.08 + vX_[6047] * vX_[186] * 0.35 + vX_[6052] * vX_[186] * 0.33 +
+ vX_[6051] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[3205] = vX_[4279] * 0.881 + (0 - vX_[4281]) * -0.000881;
+ vX_[1375] = vX_[4277] * -0.881;
+ vX_[7487] = vX_[4281] * 0.110125;
+ vX_[5833] = vX_[1375] - vX_[7487];
+ vX_[4536] = vX_[3205] * vX_[2915] + vX_[5833] * vX_[963];
+ vX_[281] = vX_[4269] * 3.146 + (0 - vX_[4270]) * 0.0825825;
+ vX_[6521] = vX_[4268] * -3.146;
+ vX_[6474] = vX_[4270] * 0.47422804;
+ vX_[6494] = vX_[6521] - vX_[6474];
+ vX_[4515] = vX_[4536] + vX_[281] * vX_[775] + vX_[6494] * vX_[1018];
+ vX_[6496] = vX_[4257] * 3.44 + vX_[4260] * -0.5824264;
+ vX_[6497] = 0 - vX_[6496];
+ vX_[6514] = vX_[4251] * 3.44 + (0 - vX_[4260]) * 0.1466472;
+ vX_[3193] = vX_[4251] * vX_[252] + vX_[4223] * vX_[234] + vX_[4257] * vX_[243] + vX_[4260] * vX_[528] +
+ vX_[4262] * vX_[580];
+ vX_[3202] = vX_[4515] * -1 + vX_[6497] * vX_[4087] + vX_[6514] * vX_[3807] + vX_[3193] * x_in[30];
+ vX_[6491] = vX_[5795] - vX_[4172];
+ vX_[8334] = vX_[4151] + vX_[5676];
+ vX_[7453] = vX_[6491] * vX_[249] + vX_[8334] * vX_[247];
+ vX_[7098] = vX_[4908] - vX_[4172];
+ vX_[6486] = vX_[7098] * vX_[249];
+ vX_[1843] = vX_[6491] * vX_[235] + vX_[8334] * vX_[249];
+ vX_[7764] = vX_[7098] * vX_[247];
+ vX_[9372] = vX_[1843] + vX_[7764];
+ vX_[1617] = vX_[7453] * vX_[235] + vX_[6486] * vX_[247] + vX_[9372] * vX_[249];
+ vX_[9252] = 0 - vX_[1617];
+ vX_[434] = vX_[4172] + vX_[1843] * vX_[235] + vX_[6486] * vX_[249];
+ vX_[8151] = 0 - vX_[434];
+ vX_[2776] = vX_[4172] + vX_[7453] * vX_[249] + vX_[7764] * vX_[247];
+ vX_[2790] = vX_[4916] + vX_[4651];
+ vX_[6878] = vX_[4154] + vX_[4165] - vX_[2790];
+ vX_[3215] = vX_[4923] + vX_[4905];
+ vX_[2773] = 0 - (vX_[4155] + vX_[4166]) + vX_[3215];
+ vX_[3896] = (vX_[3215] * vX_[235] + vX_[2790] * vX_[249]) * -1;
+ vX_[3888] = 0 - (vX_[6878] * vX_[249] + vX_[2773] * vX_[247]) + vX_[3896];
+ vX_[3872] = vX_[3888] + vX_[434] * vX_[236];
+ vX_[3852] = 0 - vX_[3872];
+ vX_[6050] = (vX_[3215] * vX_[249] + vX_[2790] * vX_[247]) * -1;
+ vX_[6049] = vX_[6878] * vX_[235] + vX_[2773] * vX_[249] + vX_[6050];
+ vX_[5848] = 0 - vX_[2776];
+ vX_[5832] = vX_[6049] + vX_[1617] * vX_[236] + vX_[5848] * vX_[165];
+ vX_[5352] = vX_[4158] + vX_[3744];
+ vX_[5625] = vX_[4153] + vX_[5756];
+ vX_[4432] = vX_[5352] * vX_[247] + vX_[5625] * vX_[249];
+ vX_[5416] = vX_[4148] + vX_[4168];
+ vX_[5605] = vX_[4157] + vX_[5672];
+ vX_[5610] = vX_[5416] * vX_[249] + vX_[5605] * vX_[247];
+ vX_[1762] = vX_[4432] * vX_[235] + vX_[5610] * vX_[249];
+ vX_[5193] = vX_[4142] + vX_[4937];
+ vX_[5186] = vX_[4883] + vX_[4906];
+ vX_[2097] = 0 - vX_[5186];
+ vX_[5426] = vX_[5193] * vX_[249] + vX_[2097] * vX_[247];
+ vX_[5573] = 0 - vX_[5426];
+ vX_[5206] = vX_[1762] + vX_[5573] * vX_[165] + vX_[8151] * vX_[251];
+ vX_[4872] = 0 - vX_[5206];
+ vX_[4428] = vX_[5352] * vX_[249] + vX_[5625] * vX_[235];
+ vX_[4414] = vX_[5416] * vX_[235] + vX_[5605] * vX_[249];
+ vX_[6663] = vX_[4428] * vX_[249] + vX_[4414] * vX_[247];
+ vX_[5186] = 0 - vX_[5186];
+ vX_[4490] = vX_[5193] * vX_[235] + vX_[5186] * vX_[249];
+ vX_[5601] = 0 - vX_[4490];
+ vX_[6461] = vX_[6663] + vX_[5601] * vX_[236] + vX_[2776] * vX_[251];
+ vX_[5413] = vX_[4428] * vX_[235] + vX_[4414] * vX_[249];
+ vX_[5607] = vX_[5413] + vX_[5426] * vX_[236];
+ vX_[5420] = vX_[4432] * vX_[249] + vX_[5610] * vX_[247];
+ vX_[4550] = vX_[5420] + vX_[4490] * vX_[165] + vX_[9252] * vX_[251];
+ vX_[4412] = 0 - vX_[5607] + vX_[4550];
+ vX_[5608] = 0 - vX_[1617];
+ vX_[5418] = 0 - vX_[434];
+ vX_[8151] = vX_[9252] * vX_[583] + vX_[8151] * vX_[530] + vX_[2776] * vX_[214] + vX_[3852] * vX_[252] +
+ vX_[5832] * vX_[263] + vX_[4872] * vX_[243] + vX_[6461] * vX_[237] + vX_[4412] * vX_[234] +
+ vX_[5608] * vX_[580] + vX_[1617] * vX_[577] + vX_[5418] * vX_[529] + vX_[2776] * vX_[533];
+ vX_[9252] = 0 - vX_[3205];
+ vX_[4447] = vX_[4266] * 0.881 + (0 - vX_[4283]) * 0.110125 + vX_[4285] * -0.000881;
+ vX_[5221] = vX_[4277] * -0.00370574557885489 + vX_[4279] * 0.880970354035369;
+ vX_[4861] = vX_[9252] * vX_[789] + vX_[4447] * vX_[963] + vX_[5221] * x_in[32];
+ vX_[7487] = 0 - vX_[1375] + vX_[7487];
+ vX_[1375] = 0 - vX_[4447];
+ vX_[3992] = vX_[4277] * 0.417781802643138 + vX_[4279] * -0.00370574557885489;
+ vX_[5668] = vX_[7487] * vX_[789] + vX_[1375] * vX_[2915] - vX_[3992] * x_in[32];
+ vX_[5667] = 0 - vX_[281];
+ vX_[2443] = vX_[4264] * 3.146 + (0 - vX_[4265]) * 0.47422804 + vX_[4275] * 0.0825825;
+ vX_[4458] = vX_[4268] * vX_[211] + vX_[4269] * vX_[210] + vX_[4265] * vX_[187] + vX_[4275] * vX_[185];
+ vX_[4446] = vX_[4861] * vX_[169] + vX_[5668] * vX_[167] + vX_[5667] * vX_[816] + vX_[2443] * vX_[1018] +
+ vX_[4458] * x_in[31];
+ vX_[6474] = 0 - vX_[6521] + vX_[6474];
+ vX_[6521] = 0 - vX_[2443];
+ vX_[6662] = vX_[4268] * vX_[209] + vX_[4269] * vX_[211] + vX_[4265] * vX_[193] + vX_[4275] * vX_[192];
+ vX_[5771] = vX_[4861] * vX_[1069] + vX_[5668] * vX_[169] + vX_[6474] * vX_[816] + vX_[6521] * vX_[775] -
+ vX_[6662] * x_in[31];
+ vX_[5642] = vX_[4223] * -3.44;
+ vX_[5641] = vX_[4247] * 0.1466472;
+ vX_[5647] = vX_[4262] * -0.5824264;
+ vX_[5648] = 0 - vX_[5642] + vX_[5641] - vX_[5647];
+ vX_[4014] = 0 - vX_[6514];
+ vX_[4120] = vX_[4251] * vX_[263] + vX_[4223] * vX_[237] + vX_[4257] * vX_[234] + vX_[4260] * vX_[577] +
+ vX_[4262] * vX_[527];
+ vX_[5167] = vX_[4446] * vX_[1065] + vX_[5771] * vX_[186] + vX_[5648] * vX_[4087] + vX_[4014] * vX_[824] -
+ vX_[4120] * x_in[30];
+ vX_[4047] = vX_[5795] + vX_[4908] + vX_[4172] - vX_[434] - vX_[2776];
+ vX_[4982] = 0 - vX_[4047];
+ vX_[3896] = vX_[3896] + vX_[4982] * vX_[236];
+ vX_[6050] = vX_[6050] + vX_[4047] * vX_[165];
+ vX_[4975] = 0 - vX_[5832];
+ vX_[4033] = 0 - vX_[6461];
+ vX_[5652] = vX_[4897] + vX_[4914] + vX_[5625] + vX_[5605] - vX_[5413] - vX_[5420];
+ vX_[4550] = vX_[5652] - vX_[4550];
+ vX_[4961] = 0 - vX_[5426];
+ vX_[5655] = 0 - vX_[1617];
+ vX_[4944] = 0 - vX_[2776];
+ vX_[5666] = vX_[5659] - vX_[4167];
+ vX_[5654] = vX_[6683] - vX_[4167];
+ vX_[5665] = vX_[4161] + vX_[5660];
+ vX_[5630] = vX_[4159] + vX_[5784];
+ vX_[5628] = vX_[4156] + vX_[5800];
+ vX_[5791] = 0 - vX_[5628];
+ vX_[2874] = vX_[5666] * vX_[249] + vX_[5665] * vX_[247];
+ vX_[2867] = vX_[5654] * vX_[249];
+ vX_[4405] = vX_[5666] * vX_[235] + vX_[5665] * vX_[249];
+ vX_[5633] = vX_[5654] * vX_[247];
+ vX_[6443] = vX_[4405] + vX_[5633];
+ vX_[6106] = vX_[4266] * -0.000881 + vX_[4285] * -0.000227999999999999;
+ vX_[2812] = vX_[4266] * 0.110125 + (0 - vX_[4283]) * 0.025713;
+ vX_[5656] = (0 - vX_[4277]) * -0.000881;
+ vX_[5616] = (0 - vX_[4279]) * 0.110125;
+ vX_[5639] = vX_[5656] + vX_[5616];
+ vX_[5639] = vX_[9252] * vX_[1930] + vX_[7487] * vX_[2925] + vX_[6106] * vX_[2915] + vX_[2812] * vX_[963] +
+ vX_[5639] * vX_[789] + vX_[5639] * vX_[789];
+ vX_[7487] = vX_[4264] * 0.0825825 + (0 - vX_[4270]) * -0.000102 + vX_[4265] * -0.007418 + vX_[4275] * 0.002735;
+ vX_[9252] = vX_[4264] * 0.47422804 + vX_[4270] * 2.1e-05 + (0 - vX_[4265]) * 0.084376 + (0 - vX_[4275]) * -0.007418;
+ vX_[5629] = (0 - vX_[4268]) * 0.0825825;
+ vX_[5638] = (0 - vX_[4269]) * 0.47422804;
+ vX_[39] = vX_[4265] * -0.000102;
+ vX_[5651] = (0 - vX_[4275]) * 2.1e-05;
+ vX_[1665] = vX_[5629] + vX_[5638] + vX_[39] + vX_[5651];
+ vX_[1665] = vX_[5639] + vX_[4861] * vX_[1077] + vX_[5668] * vX_[168] + vX_[5667] * vX_[797] +
+ vX_[6474] * vX_[2924] + vX_[7487] * vX_[775] + vX_[9252] * vX_[1018] + vX_[1665] * vX_[816] +
+ vX_[1665] * vX_[816];
+ vX_[6474] = vX_[4223] * -0.5824264 + (0 - vX_[4247]) * 0.022734 + vX_[4260] * 3.6e-05 + vX_[4262] * -0.133138;
+ vX_[5667] = vX_[4223] * 0.1466472 + vX_[4247] * 0.009466 + (0 - vX_[4260]) * -5.1e-05 + vX_[4262] * 0.022734;
+ vX_[5636] = (0 - vX_[4251]) * -0.5824264;
+ vX_[5650] = (0 - vX_[4257]) * 0.1466472;
+ vX_[5634] = (0 - vX_[4247]) * 3.6e-05;
+ vX_[5663] = (0 - vX_[4262]) * -5.1e-05;
+ vX_[5662] = vX_[5636] + vX_[5650] + vX_[5634] - vX_[5663];
+ vX_[3761] = vX_[4251] * vX_[268] + vX_[4223] * vX_[527] + vX_[4257] * vX_[580] + vX_[4260] * vX_[579] +
+ vX_[4262] * vX_[231];
+ vX_[5662] = vX_[4446] * vX_[1066] + vX_[5771] * vX_[201] + vX_[1665] * -1 + vX_[6496] * vX_[3339] +
+ vX_[4014] * vX_[806] + vX_[6474] * vX_[4087] + vX_[5667] * vX_[3807] + vX_[5662] * vX_[824] +
+ vX_[5662] * vX_[824] + vX_[3761] * x_in[30];
+ vX_[4281] = vX_[4277] * 0.110125 + vX_[4279] * -0.000881 + vX_[4281] * 0.025941;
+ vX_[4285] = vX_[4266] * -0.000881 + vX_[4285] * 0.000468;
+ vX_[5616] = vX_[3205] * vX_[812] + vX_[1375] * vX_[2925] + vX_[6106] * vX_[789] + vX_[4281] * vX_[963] +
+ vX_[5616] * vX_[2915] + vX_[5616] * vX_[2915] + vX_[4285] * x_in[32];
+ vX_[4283] = vX_[4266] * -0.110125 + vX_[4283] * 0.026409;
+ vX_[4281] = vX_[5833] * vX_[812] + vX_[4447] * vX_[1930] + vX_[2812] * vX_[789] + vX_[4281] * vX_[2915] +
+ vX_[5656] * vX_[963] + vX_[5656] * vX_[963] - vX_[4283] * x_in[32];
+ vX_[5656] = vX_[4268] * 0.47422804 + vX_[4269] * 0.0825825 + vX_[4270] * 0.081641 + (0 - vX_[4265]) * 2.1e-05 +
+ vX_[4275] * -0.000102;
+ vX_[2812] = (0 - vX_[4270]) * -0.007418;
+ vX_[5651] = vX_[5638] + vX_[2812] - vX_[5651];
+ vX_[5638] = vX_[4264] * vX_[180] + vX_[4268] * vX_[192] + vX_[4269] * vX_[185] + vX_[4265] * vX_[226] +
+ vX_[4275] * vX_[222];
+ vX_[5651] = vX_[4536] * -0.35 + vX_[5616] * vX_[169] + vX_[4281] * vX_[167] + vX_[281] * vX_[968] +
+ vX_[6521] * vX_[2924] + vX_[7487] * vX_[816] + vX_[5656] * vX_[1018] + vX_[5651] * vX_[775] +
+ vX_[5651] * vX_[775] + vX_[5638] * x_in[31];
+ vX_[2812] = vX_[5629] - vX_[2812] - vX_[39];
+ vX_[39] = vX_[4264] * vX_[189] + vX_[4268] * vX_[193] + vX_[4269] * vX_[187] + vX_[4265] * vX_[220] +
+ vX_[4275] * vX_[226];
+ vX_[2812] = vX_[5616] * vX_[175] + vX_[4281] * vX_[169] + vX_[6494] * vX_[968] + vX_[2443] * vX_[797] +
+ vX_[9252] * vX_[816] + vX_[5656] * vX_[775] + vX_[2812] * vX_[1018] + vX_[2812] * vX_[1018] -
+ vX_[39] * x_in[31];
+ vX_[5647] = vX_[5642] - vX_[5641] + vX_[5647];
+ vX_[5641] = vX_[4251] * 0.1466472 + vX_[4257] * -0.5824264 + vX_[4247] * -5.1e-05 + (0 - vX_[4260]) * -0.123672 +
+ (0 - vX_[4262]) * 3.6e-05;
+ vX_[5642] = vX_[4260] * 0.022734;
+ vX_[5634] = vX_[5636] - vX_[5634] - vX_[5642];
+ vX_[5636] = vX_[4251] * vX_[205] + vX_[4223] * vX_[577] + vX_[4257] * vX_[528] + vX_[4260] * vX_[526] +
+ vX_[4262] * vX_[579];
+ vX_[5634] = vX_[5651] * vX_[195] + vX_[2812] * vX_[186] + vX_[5647] * vX_[3339] + vX_[6514] * vX_[3838] +
+ vX_[5641] * vX_[4087] + vX_[5667] * vX_[824] + vX_[5634] * vX_[3807] + vX_[5634] * vX_[3807] -
+ vX_[5636] * x_in[30];
+ vX_[4312] = vX_[4312] * vX_[2018];
+ vX_[5667] = vX_[4312] * vX_[169];
+ vX_[4313] = vX_[4313] * vX_[2018];
+ vX_[6514] = vX_[4313] * vX_[167];
+ vX_[4314] = vX_[4314] * vX_[2018];
+ vX_[4284] = vX_[4284] * vX_[2013];
+ vX_[5656] = vX_[4284] * vX_[169];
+ vX_[9252] = vX_[4284] * vX_[167];
+ vX_[4300] = vX_[4300] * vX_[2025];
+ vX_[2443] = vX_[4300] * vX_[167];
+ vX_[4288] = vX_[4288] * vX_[2015];
+ vX_[6494] = vX_[4288] * vX_[169];
+ vX_[4286] = vX_[4286] * vX_[2013];
+ vX_[5629] = vX_[4286] * vX_[169];
+ vX_[7487] = 0 - vX_[5629];
+ vX_[6521] = vX_[4286] * vX_[167];
+ vX_[281] = 0 - vX_[9252];
+ vX_[4536] = vX_[4300] * vX_[169];
+ vX_[4301] = vX_[4301] * vX_[2025];
+ vX_[4447] = 0 - vX_[4301];
+ vX_[5833] = vX_[4447] * vX_[169];
+ vX_[4266] = vX_[4301] * vX_[167];
+ vX_[6106] = vX_[4312] + vX_[4288];
+ vX_[4289] = vX_[4289] * vX_[2015];
+ vX_[1375] = 0 - vX_[4313] - vX_[4289];
+ vX_[3205] = vX_[6106] * vX_[167] + vX_[1375] * vX_[169];
+ vX_[4279] = vX_[4289] * vX_[167];
+ vX_[4306] = vX_[4306] * vX_[2025] + vX_[4294] * vX_[2013];
+ vX_[4294] = 0 - vX_[4306];
+ vX_[4277] = 0 - vX_[4306];
+ vX_[4014] = vX_[4277] * vX_[169];
+ vX_[4401] = vX_[4306] * vX_[167];
+ vX_[1611] = vX_[4307] * vX_[1209] + vX_[4493] * vX_[1159] + vX_[4496] * vX_[1194];
+ vX_[5198] = 0 - vX_[1611];
+ vX_[5626] = vX_[4307] * vX_[1294] + vX_[4493] * vX_[1195] + vX_[4496] * vX_[1153];
+ vX_[5624] = vX_[5198] * x_in[18] + vX_[5626] * x_in[19];
+ vX_[5619] = 0 - vX_[5624];
+ vX_[5618] = 0 - vX_[5624];
+ vX_[5615] = vX_[5618] * vX_[169];
+ vX_[5614] = vX_[5624] * vX_[167];
+ vX_[4307] = vX_[4307] * vX_[1192] + vX_[4493] * vX_[1210] + vX_[4496] * vX_[1295];
+ jac[1140] = vX_[6662] * vX_[1119] + vX_[4458] * vX_[797] + vX_[39] * vX_[2026] + vX_[5638] * vX_[775] + vX_[1665] +
+ vX_[4307] * vX_[1214] + vX_[1611] * vX_[1165] + vX_[5626] * vX_[1198];
+ jac[1176] = vX_[3992] * vX_[1968] + vX_[5221] * vX_[1930] + vX_[4283] * vX_[1653] + vX_[4285] * vX_[2915] +
+ vX_[5639] + vX_[4307] * vX_[1225] + vX_[1611] * vX_[1176] + vX_[5626] * vX_[1199];
+ vX_[4283] = vX_[4307] * x_in[32];
+ vX_[4285] = vX_[4283] * vX_[169];
+ vX_[5639] = vX_[4283] * vX_[167];
+ vX_[3992] = vX_[4307] * x_in[31];
+ vX_[5221] = vX_[1611] * x_in[30];
+ vX_[39] = 0 - vX_[5221];
+ vX_[5638] = vX_[3992] * vX_[169];
+ vX_[1665] = 0 - vX_[5221];
+ vX_[6662] = vX_[1665] * vX_[169];
+ vX_[4458] = vX_[3992] * vX_[167];
+ vX_[4496] = vX_[5221] * vX_[167];
+ vX_[4493] = vX_[4318] * vX_[1180];
+ vX_[5623] = 0 - vX_[4493];
+ vX_[5622] = 0 - vX_[4493];
+ vX_[5621] = vX_[5622] * vX_[169];
+ vX_[5620] = vX_[4493] * vX_[167];
+ vX_[5191] = 0 - vX_[3896];
+ vX_[5034] = 0 - vX_[6050];
+ vX_[5652] = 0 - vX_[5652] + vX_[5607];
+ vX_[5607] = 0 - vX_[4490];
+ vX_[5628] = 0 - vX_[5628];
+ vX_[4278] = vX_[4278] * vX_[2013];
+ vX_[4764] = vX_[4278] * vX_[167];
+ vX_[4280] = vX_[4280] * vX_[2013];
+ vX_[4757] = 0 - vX_[4280];
+ vX_[1687] = vX_[4757] * vX_[169];
+ vX_[4282] = vX_[4282] * vX_[2013];
+ vX_[4299] = vX_[4299] * vX_[2025];
+ vX_[4315] = vX_[4315] * vX_[2018];
+ vX_[5154] = vX_[4315] * vX_[169];
+ vX_[4888] = vX_[4315] * vX_[167];
+ vX_[4777] = 0 - vX_[4888];
+ vX_[4304] = vX_[4304] * vX_[1124];
+ vX_[4991] = vX_[4304] * vX_[167];
+ vX_[4316] = vX_[4316] * vX_[2018];
+ vX_[5302] = vX_[4316] * vX_[169];
+ vX_[4964] = vX_[4316] * vX_[167];
+ vX_[4305] = vX_[4305] * vX_[1124];
+ vX_[4875] = 0 - vX_[4305];
+ vX_[2073] = vX_[4875] * vX_[169];
+ vX_[5182] = vX_[4278] + vX_[4304];
+ vX_[4305] = vX_[4280] + vX_[4305];
+ vX_[4280] = vX_[5182] * vX_[169] + vX_[4305] * vX_[167];
+ vX_[4302] = vX_[4302] * vX_[2025] + vX_[4293] * vX_[2018];
+ vX_[4293] = 0 - vX_[4302];
+ vX_[4073] = 0 - vX_[4302];
+ vX_[4460] = vX_[4073] * vX_[169];
+ vX_[5188] = vX_[4302] * vX_[167];
+ vX_[2498] = 0 - vX_[5626];
+ vX_[2453] = vX_[4307] * x_in[18] + vX_[2498] * x_in[20];
+ vX_[2068] = 0 - vX_[2453];
+ vX_[5189] = vX_[2453] * vX_[167];
+ vX_[4890] = vX_[4307] * x_in[30];
+ vX_[2094] = vX_[4890] * vX_[167];
+ vX_[2858] = vX_[1611] * x_in[32];
+ vX_[4792] = vX_[2858] * vX_[169];
+ vX_[4065] = vX_[2858] * vX_[167];
+ vX_[5249] = vX_[1611] * x_in[31];
+ vX_[5248] = vX_[4890] * vX_[169];
+ vX_[1450] = vX_[5249] * vX_[169];
+ vX_[4665] = vX_[5249] * vX_[167];
+ vX_[4494] = vX_[4318] * vX_[1246];
+ vX_[2061] = 0 - vX_[4494];
+ vX_[2105] = 0 - vX_[2453];
+ vX_[5223] = 0 - vX_[4494];
+ vX_[5222] = vX_[2105] * vX_[169] + vX_[5223] * vX_[169];
+ vX_[5228] = vX_[4494] * vX_[167];
+ jac[456] =
+ 0 -
+ (0 - (vX_[4160] * vX_[1621] + vX_[3202] * x_in[22]) +
+ (vX_[4152] * vX_[1621] + vX_[8151] * vX_[249] + vX_[3202] * x_in[20]) * 0.3735 -
+ (vX_[4162] * vX_[4058] + vX_[5167] * x_in[23]) + (vX_[4147] * vX_[4058] + vX_[5167] * x_in[19]) * -0.3735 +
+ (vX_[4178] * vX_[4058] +
+ (vX_[5573] * vX_[530] + vX_[4490] * vX_[583] + vX_[4047] * vX_[262] + vX_[5848] * vX_[264] +
+ vX_[3896] * vX_[234] + vX_[6050] * vX_[243] + vX_[4975] * vX_[246] + vX_[4033] * vX_[263] +
+ vX_[4550] * vX_[252] + vX_[4961] * vX_[528] + vX_[4490] * vX_[580] + vX_[5655] * vX_[205] +
+ vX_[4944] * vX_[535]) *
+ -1 +
+ vX_[5167] * x_in[18]) *
+ -0.207 -
+ (vX_[4152] * vX_[1314] + vX_[4147] * vX_[1268] + vX_[5666] * vX_[707] + vX_[5654] * vX_[705] +
+ vX_[5665] * vX_[703] + vX_[5630] * vX_[588] + vX_[5791] * vX_[252] + vX_[2874] * vX_[692] +
+ vX_[2867] * vX_[161] + vX_[6443] * vX_[234] + vX_[5352] * vX_[671] + vX_[5416] * vX_[646] +
+ vX_[3215] * vX_[270] + vX_[2790] * vX_[260] + vX_[5625] * vX_[672] + vX_[5605] * vX_[649] +
+ vX_[4428] * vX_[647] + vX_[4432] * vX_[582] + vX_[4414] * vX_[648] + vX_[5610] * vX_[645] +
+ vX_[6878] * vX_[259] + vX_[2773] * vX_[269] + vX_[6491] * vX_[589] + vX_[7098] * vX_[587] +
+ vX_[8334] * vX_[585] + vX_[5193] * vX_[626] + vX_[5186] * vX_[627] + vX_[7453] * vX_[536] +
+ vX_[6486] * vX_[532] + vX_[9372] * vX_[584] + vX_[8151] * vX_[250] + vX_[5662] * x_in[19] +
+ vX_[5634] * x_in[20]) +
+ vX_[4267] * vX_[2013] + vX_[4303] * vX_[1124] + vX_[5667] * vX_[166] + vX_[6514] * vX_[166] +
+ (0 - vX_[4314]) * 0.3735 + vX_[4314] * vX_[166] * -0.35 + vX_[5656] * 0.35 + vX_[5656] * vX_[186] * 0.08 +
+ vX_[5656] * vX_[166] * 0.3735 + vX_[9252] * vX_[186] * 0.3735 + vX_[2443] * vX_[186] * 0.207 +
+ vX_[6494] * vX_[166] + vX_[7487] * vX_[186] * 0.3735 + vX_[6521] * 0.35 +
+ (vX_[281] * vX_[166] + vX_[6521] * vX_[186]) * 0.08 + vX_[6521] * vX_[166] * 0.3735 +
+ (vX_[4536] * vX_[166] + vX_[5833] * vX_[186]) * 0.207 + vX_[4266] * vX_[166] * 0.207 +
+ vX_[3205] * vX_[186] + vX_[4279] * vX_[166] + (vX_[5629] * vX_[166] - vX_[4306]) * 0.08 +
+ vX_[4294] * vX_[186] * 0.35 + vX_[4014] * vX_[186] * 0.33 + vX_[4401] * vX_[166] * 0.33 +
+ (0 - vX_[5624]) * 0.08 + vX_[5619] * vX_[186] * 0.35 + vX_[5615] * vX_[186] * 0.33 +
+ vX_[5614] * vX_[166] * 0.33 + vX_[4285] * vX_[166] * 0.33 + vX_[5639] * vX_[186] * 0.33 +
+ vX_[3992] * vX_[166] * 0.35 + (0 - vX_[5221]) * 0.08 + vX_[39] * vX_[186] * 0.35 +
+ (vX_[5638] * vX_[166] + vX_[6662] * vX_[186]) * 0.33 +
+ (vX_[4458] * vX_[186] + vX_[4496] * vX_[166]) * 0.33 + (0 - vX_[4493]) * 0.08 +
+ vX_[5623] * vX_[186] * 0.35 + vX_[5621] * vX_[186] * 0.33 + vX_[5620] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[4162] * vX_[1621] + vX_[4152] * vX_[1268] + vX_[5666] * vX_[703] + vX_[5630] * vX_[252] +
+ vX_[4405] * vX_[161] + vX_[2874] * vX_[234] + vX_[5416] * vX_[649] + vX_[3215] * vX_[260] +
+ vX_[5625] * vX_[671] + vX_[4428] * vX_[648] + vX_[4432] * vX_[645] + vX_[6878] * vX_[269] +
+ vX_[6491] * vX_[585] + vX_[5193] * vX_[627] + vX_[1843] * vX_[532] + vX_[7453] * vX_[584] +
+ (vX_[5426] * vX_[581] + vX_[5601] * vX_[214] + vX_[1617] * vX_[264] + vX_[4982] * vX_[238] +
+ vX_[434] * vX_[253] + vX_[5191] * vX_[237] + vX_[3872] * vX_[246] + vX_[5034] * vX_[234] +
+ vX_[5206] * vX_[252] + vX_[5652] * vX_[263] + vX_[5426] * vX_[577] + vX_[5607] * vX_[527] +
+ vX_[1617] * vX_[268] + vX_[434] * vX_[524]) *
+ 0.207 +
+ vX_[3202] * x_in[23] + vX_[5662] * x_in[20] +
+ (vX_[4147] * vX_[1621] + vX_[8151] * vX_[247] + vX_[3202] * x_in[19]) * 0.3735 +
+ (vX_[4178] * vX_[1621] + vX_[3202] * x_in[18]) * 0.207 - (vX_[4160] * vX_[4058] + vX_[5167] * x_in[22]) +
+ (vX_[4152] * vX_[4058] + vX_[5167] * x_in[20]) * 0.3735 -
+ (vX_[4147] * vX_[1314] + vX_[5654] * vX_[704] + vX_[5665] * vX_[707] + vX_[5628] * vX_[588] +
+ vX_[2867] * vX_[234] + vX_[5633] * vX_[692] + vX_[5352] * vX_[672] + vX_[2790] * vX_[270] +
+ vX_[5605] * vX_[646] + vX_[4414] * vX_[647] + vX_[5610] * vX_[582] + vX_[2773] * vX_[259] +
+ vX_[7098] * vX_[586] + vX_[8334] * vX_[589] + vX_[2097] * vX_[626] + vX_[6486] * vX_[584] +
+ vX_[7764] * vX_[536] + vX_[8151] * vX_[248] + vX_[5634] * x_in[19]) -
+ vX_[4311] * vX_[2018] + vX_[4764] * vX_[186] + vX_[1687] * vX_[186] + (0 - vX_[4282]) * 0.3735 +
+ vX_[4282] * vX_[166] * -0.35 + (0 - vX_[4299]) * 0.207 - vX_[4287] * vX_[2015] + (0 - vX_[5154]) * 0.35 +
+ (0 - vX_[5154] * vX_[186]) * 0.08 + vX_[5154] * vX_[166] * -0.3735 + vX_[4777] * vX_[186] * 0.3735 +
+ vX_[4888] * vX_[166] * 0.08 + vX_[4991] * vX_[186] + vX_[5302] * vX_[186] * 0.3735 +
+ (0 - vX_[5302] * vX_[166]) * 0.08 + (0 - vX_[4964]) * 0.35 + (0 - vX_[4964] * vX_[186]) * 0.08 +
+ vX_[4964] * vX_[166] * -0.3735 + vX_[2073] * vX_[186] + vX_[4280] * vX_[166] + vX_[4293] * vX_[186] * 0.35 +
+ vX_[4460] * vX_[186] * 0.33 + vX_[5188] * vX_[166] * 0.33 + (0 - vX_[2453]) * 0.08 +
+ vX_[2068] * vX_[186] * 0.35 + vX_[5189] * vX_[166] * 0.33 + (0 - vX_[4302] + vX_[4890]) * 0.08 +
+ vX_[4890] * vX_[186] * 0.35 + vX_[2094] * vX_[166] * -0.33 + vX_[4792] * vX_[166] * 0.33 +
+ vX_[4065] * vX_[186] * 0.33 + vX_[5249] * vX_[166] * 0.35 +
+ (vX_[5248] * vX_[186] + vX_[1450] * vX_[166]) * 0.33 + vX_[4665] * vX_[186] * 0.33 +
+ (0 - vX_[4494]) * 0.08 + vX_[2061] * vX_[186] * 0.35 + vX_[5222] * vX_[186] * 0.33 +
+ vX_[5228] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[5665] = vX_[4708] * 0.881 + (0 - vX_[4710]) * -0.000881;
+ vX_[5654] = vX_[4706] * -0.881;
+ vX_[5666] = vX_[4710] * 0.110125;
+ vX_[4982] = vX_[5654] - vX_[5666];
+ vX_[4047] = vX_[5665] * vX_[2915] + vX_[4982] * vX_[963];
+ vX_[8151] = vX_[4698] * 3.146 + (0 - vX_[4699]) * 0.0825825;
+ vX_[5601] = vX_[4697] * -3.146;
+ vX_[5186] = vX_[4699] * 0.47422804;
+ vX_[4414] = vX_[5601] - vX_[5186];
+ vX_[4428] = vX_[4047] + vX_[8151] * vX_[775] + vX_[4414] * vX_[1018];
+ vX_[5573] = vX_[4686] * 3.44 + vX_[4689] * -0.5824264;
+ vX_[2097] = 0 - vX_[5573];
+ vX_[5193] = vX_[4680] * 3.44 + (0 - vX_[4689]) * 0.1466472;
+ vX_[5610] = vX_[4680] * vX_[252] + vX_[4652] * vX_[234] + vX_[4686] * vX_[243] + vX_[4689] * vX_[528] +
+ vX_[4691] * vX_[580];
+ vX_[5605] = vX_[4428] * -1 + vX_[2097] * vX_[4087] + vX_[5193] * vX_[3807] + vX_[5610] * x_in[30];
+ vX_[5416] = vX_[4170] - vX_[4601];
+ vX_[4432] = vX_[4580] + vX_[4756];
+ vX_[5625] = vX_[5416] * vX_[249] + vX_[4432] * vX_[247];
+ vX_[5352] = vX_[2862] - vX_[4601];
+ vX_[5848] = vX_[5352] * vX_[249];
+ vX_[2773] = vX_[5416] * vX_[235] + vX_[4432] * vX_[249];
+ vX_[3215] = vX_[5352] * vX_[247];
+ vX_[6878] = vX_[2773] + vX_[3215];
+ vX_[2790] = vX_[5625] * vX_[235] + vX_[5848] * vX_[247] + vX_[6878] * vX_[249];
+ vX_[9372] = 0 - vX_[2790];
+ vX_[7764] = vX_[4601] + vX_[2773] * vX_[235] + vX_[5848] * vX_[249];
+ vX_[1843] = 0 - vX_[7764];
+ vX_[6486] = vX_[4601] + vX_[5625] * vX_[249] + vX_[3215] * vX_[247];
+ vX_[7098] = vX_[2845] + vX_[2842];
+ vX_[7453] = vX_[4583] + vX_[4594] - vX_[7098];
+ vX_[8334] = vX_[4146] + vX_[2826];
+ vX_[6491] = 0 - (vX_[4584] + vX_[4595]) + vX_[8334];
+ vX_[4311] = (vX_[8334] * vX_[235] + vX_[7098] * vX_[249]) * -1;
+ vX_[4303] = 0 - (vX_[7453] * vX_[249] + vX_[6491] * vX_[247]) + vX_[4311];
+ vX_[4287] = vX_[4303] + vX_[7764] * vX_[236];
+ vX_[4267] = 0 - vX_[4287];
+ vX_[5229] = (vX_[8334] * vX_[249] + vX_[7098] * vX_[247]) * -1;
+ vX_[5513] = vX_[7453] * vX_[235] + vX_[6491] * vX_[249] + vX_[5229];
+ vX_[4504] = 0 - vX_[6486];
+ vX_[4409] = vX_[5513] + vX_[2790] * vX_[236] + vX_[4504] * vX_[165];
+ vX_[4666] = vX_[4587] + vX_[4824];
+ vX_[4145] = vX_[4582] + vX_[4812];
+ vX_[4664] = vX_[4666] * vX_[247] + vX_[4145] * vX_[249];
+ vX_[4682] = vX_[4577] + vX_[4597];
+ vX_[5233] = vX_[4586] + vX_[4828];
+ vX_[4007] = vX_[4682] * vX_[249] + vX_[5233] * vX_[247];
+ vX_[5236] = vX_[4664] * vX_[235] + vX_[4007] * vX_[249];
+ vX_[2914] = vX_[4560] + vX_[4433];
+ vX_[5247] = vX_[2833] + vX_[2832];
+ vX_[5235] = 0 - vX_[5247];
+ vX_[5246] = vX_[2914] * vX_[249] + vX_[5235] * vX_[247];
+ vX_[5211] = 0 - vX_[5246];
+ vX_[5209] = vX_[5236] + vX_[5211] * vX_[165] + vX_[1843] * vX_[251];
+ vX_[5372] = 0 - vX_[5209];
+ vX_[4574] = vX_[4666] * vX_[249] + vX_[4145] * vX_[235];
+ vX_[4568] = vX_[4682] * vX_[235] + vX_[5233] * vX_[249];
+ vX_[2811] = vX_[4574] * vX_[249] + vX_[4568] * vX_[247];
+ vX_[5247] = 0 - vX_[5247];
+ vX_[5214] = vX_[2914] * vX_[235] + vX_[5247] * vX_[249];
+ vX_[4847] = 0 - vX_[5214];
+ vX_[4849] = vX_[2811] + vX_[4847] * vX_[236] + vX_[6486] * vX_[251];
+ vX_[5705] = vX_[4574] * vX_[235] + vX_[4568] * vX_[249];
+ vX_[5237] = vX_[5705] + vX_[5246] * vX_[236];
+ vX_[5197] = vX_[4664] * vX_[249] + vX_[4007] * vX_[247];
+ vX_[5220] = vX_[5197] + vX_[5214] * vX_[165] + vX_[9372] * vX_[251];
+ vX_[5210] = 0 - vX_[5237] + vX_[5220];
+ vX_[5219] = 0 - vX_[2790];
+ vX_[8789] = 0 - vX_[7764];
+ vX_[1843] = vX_[9372] * vX_[583] + vX_[1843] * vX_[530] + vX_[6486] * vX_[214] + vX_[4267] * vX_[252] +
+ vX_[4409] * vX_[263] + vX_[5372] * vX_[243] + vX_[4849] * vX_[237] + vX_[5210] * vX_[234] +
+ vX_[5219] * vX_[580] + vX_[2790] * vX_[577] + vX_[8789] * vX_[529] + vX_[6486] * vX_[533];
+ vX_[9372] = 0 - vX_[5665];
+ vX_[5232] = vX_[4695] * 0.881 + (0 - vX_[4712]) * 0.110125 + vX_[4714] * -0.000881;
+ vX_[6127] = vX_[4706] * -0.00370574557885489 + vX_[4708] * 0.880970354035369;
+ vX_[5217] = vX_[9372] * vX_[789] + vX_[5232] * vX_[963] + vX_[6127] * x_in[32];
+ vX_[5666] = 0 - vX_[5654] + vX_[5666];
+ vX_[5654] = 0 - vX_[5232];
+ vX_[5231] = vX_[4706] * 0.417781802643138 + vX_[4708] * -0.00370574557885489;
+ vX_[5215] = vX_[5666] * vX_[789] + vX_[5654] * vX_[2915] - vX_[5231] * x_in[32];
+ vX_[5244] = 0 - vX_[8151];
+ vX_[5243] = vX_[4693] * 3.146 + (0 - vX_[4694]) * 0.47422804 + vX_[4704] * 0.0825825;
+ vX_[4844] = vX_[4697] * vX_[211] + vX_[4698] * vX_[210] + vX_[4694] * vX_[187] + vX_[4704] * vX_[185];
+ vX_[5779] = vX_[5217] * vX_[169] + vX_[5215] * vX_[167] + vX_[5244] * vX_[816] + vX_[5243] * vX_[1018] +
+ vX_[4844] * x_in[31];
+ vX_[5186] = 0 - vX_[5601] + vX_[5186];
+ vX_[5601] = 0 - vX_[5243];
+ vX_[6153] = vX_[4697] * vX_[209] + vX_[4698] * vX_[211] + vX_[4694] * vX_[193] + vX_[4704] * vX_[192];
+ vX_[4769] = vX_[5217] * vX_[1069] + vX_[5215] * vX_[169] + vX_[5186] * vX_[816] + vX_[5601] * vX_[775] -
+ vX_[6153] * x_in[31];
+ vX_[5207] = vX_[4652] * -3.44;
+ vX_[5205] = vX_[4676] * 0.1466472;
+ vX_[5200] = vX_[4691] * -0.5824264;
+ vX_[5199] = 0 - vX_[5207] + vX_[5205] - vX_[5200];
+ vX_[5196] = 0 - vX_[5193];
+ vX_[5195] = vX_[4680] * vX_[263] + vX_[4652] * vX_[237] + vX_[4686] * vX_[234] + vX_[4689] * vX_[577] +
+ vX_[4691] * vX_[527];
+ vX_[5204] = vX_[5779] * vX_[1065] + vX_[4769] * vX_[186] + vX_[5199] * vX_[4087] + vX_[5196] * vX_[824] -
+ vX_[5195] * x_in[30];
+ vX_[5203] = vX_[4170] + vX_[2862] + vX_[4601] - vX_[7764] - vX_[6486];
+ vX_[5202] = 0 - vX_[5203];
+ vX_[4311] = vX_[4311] + vX_[5202] * vX_[236];
+ vX_[5229] = vX_[5229] + vX_[5203] * vX_[165];
+ vX_[5201] = 0 - vX_[4409];
+ vX_[4762] = 0 - vX_[4849];
+ vX_[6164] = vX_[2841] + vX_[2837] + vX_[4145] + vX_[5233] - vX_[5705] - vX_[5197];
+ vX_[5220] = vX_[6164] - vX_[5220];
+ vX_[4335] = 0 - vX_[5246];
+ vX_[4328] = 0 - vX_[2790];
+ vX_[6122] = 0 - vX_[6486];
+ vX_[4725] = vX_[4751] - vX_[4596];
+ vX_[4027] = vX_[4163] - vX_[4596];
+ vX_[4348] = vX_[4590] + vX_[4811];
+ vX_[8797] = vX_[4588] + vX_[4034];
+ vX_[5451] = vX_[4585] + vX_[3753];
+ vX_[5263] = 0 - vX_[5451];
+ vX_[5306] = vX_[4725] * vX_[249] + vX_[4348] * vX_[247];
+ vX_[1656] = vX_[4027] * vX_[249];
+ vX_[4753] = vX_[4725] * vX_[235] + vX_[4348] * vX_[249];
+ vX_[3581] = vX_[4027] * vX_[247];
+ vX_[5321] = vX_[4753] + vX_[3581];
+ vX_[4759] = vX_[4695] * -0.000881 + vX_[4714] * -0.000227999999999999;
+ vX_[4107] = vX_[4695] * 0.110125 + (0 - vX_[4712]) * 0.025713;
+ vX_[3831] = (0 - vX_[4706]) * -0.000881;
+ vX_[2040] = (0 - vX_[4708]) * 0.110125;
+ vX_[4760] = vX_[3831] + vX_[2040];
+ vX_[4760] = vX_[9372] * vX_[1930] + vX_[5666] * vX_[2925] + vX_[4759] * vX_[2915] + vX_[4107] * vX_[963] +
+ vX_[4760] * vX_[789] + vX_[4760] * vX_[789];
+ vX_[5666] = vX_[4693] * 0.0825825 + (0 - vX_[4699]) * -0.000102 + vX_[4694] * -0.007418 + vX_[4704] * 0.002735;
+ vX_[9372] = vX_[4693] * 0.47422804 + vX_[4699] * 2.1e-05 + (0 - vX_[4694]) * 0.084376 + (0 - vX_[4704]) * -0.007418;
+ vX_[4109] = (0 - vX_[4697]) * 0.0825825;
+ vX_[5267] = (0 - vX_[4698]) * 0.47422804;
+ vX_[6141] = vX_[4694] * -0.000102;
+ vX_[4363] = (0 - vX_[4704]) * 2.1e-05;
+ vX_[1307] = vX_[4109] + vX_[5267] + vX_[6141] + vX_[4363];
+ vX_[1307] = vX_[4760] + vX_[5217] * vX_[1077] + vX_[5215] * vX_[168] + vX_[5244] * vX_[797] +
+ vX_[5186] * vX_[2924] + vX_[5666] * vX_[775] + vX_[9372] * vX_[1018] + vX_[1307] * vX_[816] +
+ vX_[1307] * vX_[816];
+ vX_[5186] = vX_[4652] * -0.5824264 + (0 - vX_[4676]) * 0.022734 + vX_[4689] * 3.6e-05 + vX_[4691] * -0.133138;
+ vX_[5244] = vX_[4652] * 0.1466472 + vX_[4676] * 0.009466 + (0 - vX_[4689]) * -5.1e-05 + vX_[4691] * 0.022734;
+ vX_[4820] = (0 - vX_[4680]) * -0.5824264;
+ vX_[4819] = (0 - vX_[4686]) * 0.1466472;
+ vX_[5003] = (0 - vX_[4676]) * 3.6e-05;
+ vX_[5270] = (0 - vX_[4691]) * -5.1e-05;
+ vX_[6123] = vX_[4820] + vX_[4819] + vX_[5003] - vX_[5270];
+ vX_[1355] = vX_[4680] * vX_[268] + vX_[4652] * vX_[527] + vX_[4686] * vX_[580] + vX_[4689] * vX_[579] +
+ vX_[4691] * vX_[231];
+ vX_[6123] = vX_[5779] * vX_[1066] + vX_[4769] * vX_[201] + vX_[1307] * -1 + vX_[5573] * vX_[3339] +
+ vX_[5196] * vX_[806] + vX_[5186] * vX_[4087] + vX_[5244] * vX_[3807] + vX_[6123] * vX_[824] +
+ vX_[6123] * vX_[824] + vX_[1355] * x_in[30];
+ vX_[4710] = vX_[4706] * 0.110125 + vX_[4708] * -0.000881 + vX_[4710] * 0.025941;
+ vX_[4714] = vX_[4695] * -0.000881 + vX_[4714] * 0.000468;
+ vX_[2040] = vX_[5665] * vX_[812] + vX_[5654] * vX_[2925] + vX_[4759] * vX_[789] + vX_[4710] * vX_[963] +
+ vX_[2040] * vX_[2915] + vX_[2040] * vX_[2915] + vX_[4714] * x_in[32];
+ vX_[4712] = vX_[4695] * -0.110125 + vX_[4712] * 0.026409;
+ vX_[4710] = vX_[4982] * vX_[812] + vX_[5232] * vX_[1930] + vX_[4107] * vX_[789] + vX_[4710] * vX_[2915] +
+ vX_[3831] * vX_[963] + vX_[3831] * vX_[963] - vX_[4712] * x_in[32];
+ vX_[3831] = vX_[4697] * 0.47422804 + vX_[4698] * 0.0825825 + vX_[4699] * 0.081641 + (0 - vX_[4694]) * 2.1e-05 +
+ vX_[4704] * -0.000102;
+ vX_[4107] = (0 - vX_[4699]) * -0.007418;
+ vX_[4363] = vX_[5267] + vX_[4107] - vX_[4363];
+ vX_[5267] = vX_[4693] * vX_[180] + vX_[4697] * vX_[192] + vX_[4698] * vX_[185] + vX_[4694] * vX_[226] +
+ vX_[4704] * vX_[222];
+ vX_[4363] = vX_[4047] * -0.35 + vX_[2040] * vX_[169] + vX_[4710] * vX_[167] + vX_[8151] * vX_[968] +
+ vX_[5601] * vX_[2924] + vX_[5666] * vX_[816] + vX_[3831] * vX_[1018] + vX_[4363] * vX_[775] +
+ vX_[4363] * vX_[775] + vX_[5267] * x_in[31];
+ vX_[4107] = vX_[4109] - vX_[4107] - vX_[6141];
+ vX_[6141] = vX_[4693] * vX_[189] + vX_[4697] * vX_[193] + vX_[4698] * vX_[187] + vX_[4694] * vX_[220] +
+ vX_[4704] * vX_[226];
+ vX_[4107] = vX_[2040] * vX_[175] + vX_[4710] * vX_[169] + vX_[4414] * vX_[968] + vX_[5243] * vX_[797] +
+ vX_[9372] * vX_[816] + vX_[3831] * vX_[775] + vX_[4107] * vX_[1018] + vX_[4107] * vX_[1018] -
+ vX_[6141] * x_in[31];
+ vX_[5200] = vX_[5207] - vX_[5205] + vX_[5200];
+ vX_[5205] = vX_[4680] * 0.1466472 + vX_[4686] * -0.5824264 + vX_[4676] * -5.1e-05 + (0 - vX_[4689]) * -0.123672 +
+ (0 - vX_[4691]) * 3.6e-05;
+ vX_[5207] = vX_[4689] * 0.022734;
+ vX_[5003] = vX_[4820] - vX_[5003] - vX_[5207];
+ vX_[4820] = vX_[4680] * vX_[205] + vX_[4652] * vX_[577] + vX_[4686] * vX_[528] + vX_[4689] * vX_[526] +
+ vX_[4691] * vX_[579];
+ vX_[5003] = vX_[4363] * vX_[195] + vX_[4107] * vX_[186] + vX_[5200] * vX_[3339] + vX_[5193] * vX_[3838] +
+ vX_[5205] * vX_[4087] + vX_[5244] * vX_[824] + vX_[5003] * vX_[3807] + vX_[5003] * vX_[3807] -
+ vX_[4820] * x_in[30];
+ vX_[4741] = vX_[4741] * vX_[2018];
+ vX_[5244] = vX_[4741] * vX_[169];
+ vX_[4742] = vX_[4742] * vX_[2018];
+ vX_[5193] = vX_[4742] * vX_[167];
+ vX_[4743] = vX_[4743] * vX_[2018];
+ vX_[4713] = vX_[4713] * vX_[2013];
+ vX_[3831] = vX_[4713] * vX_[169];
+ vX_[9372] = vX_[4713] * vX_[167];
+ vX_[4729] = vX_[4729] * vX_[2025];
+ vX_[5243] = vX_[4729] * vX_[167];
+ vX_[4717] = vX_[4717] * vX_[2015];
+ vX_[4414] = vX_[4717] * vX_[169];
+ vX_[4715] = vX_[4715] * vX_[2013];
+ vX_[4109] = vX_[4715] * vX_[169];
+ vX_[5666] = 0 - vX_[4109];
+ vX_[5601] = vX_[4715] * vX_[167];
+ vX_[8151] = 0 - vX_[9372];
+ vX_[4047] = vX_[4729] * vX_[169];
+ vX_[4730] = vX_[4730] * vX_[2025];
+ vX_[5232] = 0 - vX_[4730];
+ vX_[4982] = vX_[5232] * vX_[169];
+ vX_[4695] = vX_[4730] * vX_[167];
+ vX_[4759] = vX_[4741] + vX_[4717];
+ vX_[4718] = vX_[4718] * vX_[2015];
+ vX_[5654] = 0 - vX_[4742] - vX_[4718];
+ vX_[5665] = vX_[4759] * vX_[167] + vX_[5654] * vX_[169];
+ vX_[4708] = vX_[4718] * vX_[167];
+ vX_[4735] = vX_[4735] * vX_[2025] + vX_[4723] * vX_[2013];
+ vX_[4723] = 0 - vX_[4735];
+ vX_[4706] = 0 - vX_[4735];
+ vX_[5196] = vX_[4706] * vX_[169];
+ vX_[2091] = vX_[4735] * vX_[167];
+ vX_[4794] = vX_[4736] * vX_[1209] + vX_[4922] * vX_[1159] + vX_[4925] * vX_[1194];
+ vX_[4793] = 0 - vX_[4794];
+ vX_[4799] = vX_[4736] * vX_[1294] + vX_[4922] * vX_[1195] + vX_[4925] * vX_[1153];
+ vX_[4800] = vX_[4793] * x_in[18] + vX_[4799] * x_in[19];
+ vX_[2479] = 0 - vX_[4800];
+ vX_[4985] = 0 - vX_[4800];
+ vX_[5276] = vX_[4985] * vX_[169];
+ vX_[5280] = vX_[4800] * vX_[167];
+ vX_[4736] = vX_[4736] * vX_[1192] + vX_[4922] * vX_[1210] + vX_[4925] * vX_[1295];
+ jac[1141] = vX_[6153] * vX_[1119] + vX_[4844] * vX_[797] + vX_[6141] * vX_[2026] + vX_[5267] * vX_[775] +
+ vX_[1307] + vX_[4736] * vX_[1214] + vX_[4794] * vX_[1165] + vX_[4799] * vX_[1198];
+ jac[1177] = vX_[5231] * vX_[1968] + vX_[6127] * vX_[1930] + vX_[4712] * vX_[1653] + vX_[4714] * vX_[2915] +
+ vX_[4760] + vX_[4736] * vX_[1225] + vX_[4794] * vX_[1176] + vX_[4799] * vX_[1199];
+ vX_[4712] = vX_[4736] * x_in[32];
+ vX_[4714] = vX_[4712] * vX_[169];
+ vX_[4760] = vX_[4712] * vX_[167];
+ vX_[5231] = vX_[4736] * x_in[31];
+ vX_[6127] = vX_[4794] * x_in[30];
+ vX_[6141] = 0 - vX_[6127];
+ vX_[5267] = vX_[5231] * vX_[169];
+ vX_[1307] = 0 - vX_[6127];
+ vX_[6153] = vX_[1307] * vX_[169];
+ vX_[4844] = vX_[5231] * vX_[167];
+ vX_[4925] = vX_[6127] * vX_[167];
+ vX_[4922] = vX_[4747] * vX_[1180];
+ vX_[2937] = 0 - vX_[4922];
+ vX_[5268] = 0 - vX_[4922];
+ vX_[5272] = vX_[5268] * vX_[169];
+ vX_[4804] = vX_[4922] * vX_[167];
+ vX_[1035] = 0 - vX_[4311];
+ vX_[4807] = 0 - vX_[5229];
+ vX_[6164] = 0 - vX_[6164] + vX_[5237];
+ vX_[5237] = 0 - vX_[5214];
+ vX_[5451] = 0 - vX_[5451];
+ vX_[4707] = vX_[4707] * vX_[2013];
+ vX_[989] = vX_[4707] * vX_[167];
+ vX_[4709] = vX_[4709] * vX_[2013];
+ vX_[4818] = 0 - vX_[4709];
+ vX_[4806] = vX_[4818] * vX_[169];
+ vX_[4711] = vX_[4711] * vX_[2013];
+ vX_[4728] = vX_[4728] * vX_[2025];
+ vX_[4744] = vX_[4744] * vX_[2018];
+ vX_[4817] = vX_[4744] * vX_[169];
+ vX_[4782] = vX_[4744] * vX_[167];
+ vX_[4780] = 0 - vX_[4782];
+ vX_[4733] = vX_[4733] * vX_[1124];
+ vX_[4943] = vX_[4733] * vX_[167];
+ vX_[4745] = vX_[4745] * vX_[2018];
+ vX_[5698] = vX_[4745] * vX_[169];
+ vX_[3701] = vX_[4745] * vX_[167];
+ vX_[4734] = vX_[4734] * vX_[1124];
+ vX_[5723] = 0 - vX_[4734];
+ vX_[4785] = vX_[5723] * vX_[169];
+ vX_[4136] = vX_[4707] + vX_[4733];
+ vX_[4734] = vX_[4709] + vX_[4734];
+ vX_[4709] = vX_[4136] * vX_[169] + vX_[4734] * vX_[167];
+ vX_[4731] = vX_[4731] * vX_[2025] + vX_[4722] * vX_[2018];
+ vX_[4722] = 0 - vX_[4731];
+ vX_[5287] = 0 - vX_[4731];
+ vX_[7951] = vX_[5287] * vX_[169];
+ vX_[4808] = vX_[4731] * vX_[167];
+ vX_[4768] = 0 - vX_[4799];
+ vX_[4791] = vX_[4736] * x_in[18] + vX_[4768] * x_in[20];
+ vX_[4781] = 0 - vX_[4791];
+ vX_[4790] = vX_[4791] * vX_[167];
+ vX_[6946] = vX_[4736] * x_in[30];
+ vX_[4803] = vX_[6946] * vX_[167];
+ vX_[6583] = vX_[4794] * x_in[32];
+ vX_[4788] = vX_[6583] * vX_[169];
+ vX_[4802] = vX_[6583] * vX_[167];
+ vX_[4786] = vX_[4794] * x_in[31];
+ vX_[4815] = vX_[6946] * vX_[169];
+ vX_[4814] = vX_[4786] * vX_[169];
+ vX_[5393] = vX_[4786] * vX_[167];
+ vX_[5724] = vX_[4747] * vX_[1246];
+ vX_[6573] = 0 - vX_[5724];
+ vX_[4340] = 0 - vX_[4791];
+ vX_[4778] = 0 - vX_[5724];
+ vX_[4776] = vX_[4340] * vX_[169] + vX_[4778] * vX_[169];
+ vX_[4771] = vX_[5724] * vX_[167];
+ jac[457] =
+ 0 -
+ (0 - (vX_[4589] * vX_[1621] + vX_[5605] * x_in[22]) +
+ (vX_[4581] * vX_[1621] + vX_[1843] * vX_[249] + vX_[5605] * x_in[20]) * 0.3735 -
+ (vX_[4591] * vX_[4058] + vX_[5204] * x_in[23]) + (vX_[4576] * vX_[4058] + vX_[5204] * x_in[19]) * -0.3735 +
+ (vX_[4607] * vX_[4058] +
+ (vX_[5211] * vX_[530] + vX_[5214] * vX_[583] + vX_[5203] * vX_[262] + vX_[4504] * vX_[264] +
+ vX_[4311] * vX_[234] + vX_[5229] * vX_[243] + vX_[5201] * vX_[246] + vX_[4762] * vX_[263] +
+ vX_[5220] * vX_[252] + vX_[4335] * vX_[528] + vX_[5214] * vX_[580] + vX_[4328] * vX_[205] +
+ vX_[6122] * vX_[535]) *
+ -1 +
+ vX_[5204] * x_in[18]) *
+ -0.207 -
+ (vX_[4581] * vX_[1314] + vX_[4576] * vX_[1268] + vX_[4725] * vX_[707] + vX_[4027] * vX_[705] +
+ vX_[4348] * vX_[703] + vX_[8797] * vX_[588] + vX_[5263] * vX_[252] + vX_[5306] * vX_[692] +
+ vX_[1656] * vX_[161] + vX_[5321] * vX_[234] + vX_[4666] * vX_[671] + vX_[4682] * vX_[646] +
+ vX_[8334] * vX_[270] + vX_[7098] * vX_[260] + vX_[4145] * vX_[672] + vX_[5233] * vX_[649] +
+ vX_[4574] * vX_[647] + vX_[4664] * vX_[582] + vX_[4568] * vX_[648] + vX_[4007] * vX_[645] +
+ vX_[7453] * vX_[259] + vX_[6491] * vX_[269] + vX_[5416] * vX_[589] + vX_[5352] * vX_[587] +
+ vX_[4432] * vX_[585] + vX_[2914] * vX_[626] + vX_[5247] * vX_[627] + vX_[5625] * vX_[536] +
+ vX_[5848] * vX_[532] + vX_[6878] * vX_[584] + vX_[1843] * vX_[250] + vX_[6123] * x_in[19] +
+ vX_[5003] * x_in[20]) +
+ vX_[4696] * vX_[2013] + vX_[4732] * vX_[1124] + vX_[5244] * vX_[166] + vX_[5193] * vX_[166] +
+ (0 - vX_[4743]) * 0.3735 + vX_[4743] * vX_[166] * -0.35 + vX_[3831] * 0.35 + vX_[3831] * vX_[186] * 0.08 +
+ vX_[3831] * vX_[166] * 0.3735 + vX_[9372] * vX_[186] * 0.3735 + vX_[5243] * vX_[186] * 0.207 +
+ vX_[4414] * vX_[166] + vX_[5666] * vX_[186] * 0.3735 + vX_[5601] * 0.35 +
+ (vX_[8151] * vX_[166] + vX_[5601] * vX_[186]) * 0.08 + vX_[5601] * vX_[166] * 0.3735 +
+ (vX_[4047] * vX_[166] + vX_[4982] * vX_[186]) * 0.207 + vX_[4695] * vX_[166] * 0.207 +
+ vX_[5665] * vX_[186] + vX_[4708] * vX_[166] + (vX_[4109] * vX_[166] - vX_[4735]) * 0.08 +
+ vX_[4723] * vX_[186] * 0.35 + vX_[5196] * vX_[186] * 0.33 + vX_[2091] * vX_[166] * 0.33 +
+ (0 - vX_[4800]) * 0.08 + vX_[2479] * vX_[186] * 0.35 + vX_[5276] * vX_[186] * 0.33 +
+ vX_[5280] * vX_[166] * 0.33 + vX_[4714] * vX_[166] * 0.33 + vX_[4760] * vX_[186] * 0.33 +
+ vX_[5231] * vX_[166] * 0.35 + (0 - vX_[6127]) * 0.08 + vX_[6141] * vX_[186] * 0.35 +
+ (vX_[5267] * vX_[166] + vX_[6153] * vX_[186]) * 0.33 +
+ (vX_[4844] * vX_[186] + vX_[4925] * vX_[166]) * 0.33 + (0 - vX_[4922]) * 0.08 +
+ vX_[2937] * vX_[186] * 0.35 + vX_[5272] * vX_[186] * 0.33 + vX_[4804] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[4591] * vX_[1621] + vX_[4581] * vX_[1268] + vX_[4725] * vX_[703] + vX_[8797] * vX_[252] +
+ vX_[4753] * vX_[161] + vX_[5306] * vX_[234] + vX_[4682] * vX_[649] + vX_[8334] * vX_[260] +
+ vX_[4145] * vX_[671] + vX_[4574] * vX_[648] + vX_[4664] * vX_[645] + vX_[7453] * vX_[269] +
+ vX_[5416] * vX_[585] + vX_[2914] * vX_[627] + vX_[2773] * vX_[532] + vX_[5625] * vX_[584] +
+ (vX_[5246] * vX_[581] + vX_[4847] * vX_[214] + vX_[2790] * vX_[264] + vX_[5202] * vX_[238] +
+ vX_[7764] * vX_[253] + vX_[1035] * vX_[237] + vX_[4287] * vX_[246] + vX_[4807] * vX_[234] +
+ vX_[5209] * vX_[252] + vX_[6164] * vX_[263] + vX_[5246] * vX_[577] + vX_[5237] * vX_[527] +
+ vX_[2790] * vX_[268] + vX_[7764] * vX_[524]) *
+ 0.207 +
+ vX_[5605] * x_in[23] + vX_[6123] * x_in[20] +
+ (vX_[4576] * vX_[1621] + vX_[1843] * vX_[247] + vX_[5605] * x_in[19]) * 0.3735 +
+ (vX_[4607] * vX_[1621] + vX_[5605] * x_in[18]) * 0.207 - (vX_[4589] * vX_[4058] + vX_[5204] * x_in[22]) +
+ (vX_[4581] * vX_[4058] + vX_[5204] * x_in[20]) * 0.3735 -
+ (vX_[4576] * vX_[1314] + vX_[4027] * vX_[704] + vX_[4348] * vX_[707] + vX_[5451] * vX_[588] +
+ vX_[1656] * vX_[234] + vX_[3581] * vX_[692] + vX_[4666] * vX_[672] + vX_[7098] * vX_[270] +
+ vX_[5233] * vX_[646] + vX_[4568] * vX_[647] + vX_[4007] * vX_[582] + vX_[6491] * vX_[259] +
+ vX_[5352] * vX_[586] + vX_[4432] * vX_[589] + vX_[5235] * vX_[626] + vX_[5848] * vX_[584] +
+ vX_[3215] * vX_[536] + vX_[1843] * vX_[248] + vX_[5003] * x_in[19]) -
+ vX_[4740] * vX_[2018] + vX_[989] * vX_[186] + vX_[4806] * vX_[186] + (0 - vX_[4711]) * 0.3735 +
+ vX_[4711] * vX_[166] * -0.35 + (0 - vX_[4728]) * 0.207 - vX_[4716] * vX_[2015] + (0 - vX_[4817]) * 0.35 +
+ (0 - vX_[4817] * vX_[186]) * 0.08 + vX_[4817] * vX_[166] * -0.3735 + vX_[4780] * vX_[186] * 0.3735 +
+ vX_[4782] * vX_[166] * 0.08 + vX_[4943] * vX_[186] + vX_[5698] * vX_[186] * 0.3735 +
+ (0 - vX_[5698] * vX_[166]) * 0.08 + (0 - vX_[3701]) * 0.35 + (0 - vX_[3701] * vX_[186]) * 0.08 +
+ vX_[3701] * vX_[166] * -0.3735 + vX_[4785] * vX_[186] + vX_[4709] * vX_[166] + vX_[4722] * vX_[186] * 0.35 +
+ vX_[7951] * vX_[186] * 0.33 + vX_[4808] * vX_[166] * 0.33 + (0 - vX_[4791]) * 0.08 +
+ vX_[4781] * vX_[186] * 0.35 + vX_[4790] * vX_[166] * 0.33 + (0 - vX_[4731] + vX_[6946]) * 0.08 +
+ vX_[6946] * vX_[186] * 0.35 + vX_[4803] * vX_[166] * -0.33 + vX_[4788] * vX_[166] * 0.33 +
+ vX_[4802] * vX_[186] * 0.33 + vX_[4786] * vX_[166] * 0.35 +
+ (vX_[4815] * vX_[186] + vX_[4814] * vX_[166]) * 0.33 + vX_[5393] * vX_[186] * 0.33 +
+ (0 - vX_[5724]) * 0.08 + vX_[6573] * vX_[186] * 0.35 + vX_[4776] * vX_[186] * 0.33 +
+ vX_[4771] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[4348] = vX_[5137] * 0.881 + (0 - vX_[5139]) * -0.000881;
+ vX_[4027] = vX_[5135] * -0.881;
+ vX_[4725] = vX_[5139] * 0.110125;
+ vX_[5202] = vX_[4027] - vX_[4725];
+ vX_[5203] = vX_[4348] * vX_[2915] + vX_[5202] * vX_[963];
+ vX_[1843] = vX_[5127] * 3.146 + (0 - vX_[5128]) * 0.0825825;
+ vX_[4847] = vX_[5126] * -3.146;
+ vX_[5247] = vX_[5128] * 0.47422804;
+ vX_[4568] = vX_[4847] - vX_[5247];
+ vX_[4574] = vX_[5203] + vX_[1843] * vX_[775] + vX_[4568] * vX_[1018];
+ vX_[5211] = vX_[5115] * 3.44 + vX_[5118] * -0.5824264;
+ vX_[5235] = 0 - vX_[5211];
+ vX_[2914] = vX_[5109] * 3.44 + (0 - vX_[5118]) * 0.1466472;
+ vX_[4007] = vX_[5109] * vX_[252] + vX_[5081] * vX_[234] + vX_[5115] * vX_[243] + vX_[5118] * vX_[528] +
+ vX_[5120] * vX_[580];
+ vX_[5233] = vX_[4574] * -1 + vX_[5235] * vX_[4087] + vX_[2914] * vX_[3807] + vX_[4007] * x_in[30];
+ vX_[4682] = vX_[4599] - vX_[5030];
+ vX_[4664] = vX_[5009] + vX_[2739];
+ vX_[4145] = vX_[4682] * vX_[249] + vX_[4664] * vX_[247];
+ vX_[4666] = vX_[2037] - vX_[5030];
+ vX_[4504] = vX_[4666] * vX_[249];
+ vX_[6491] = vX_[4682] * vX_[235] + vX_[4664] * vX_[249];
+ vX_[8334] = vX_[4666] * vX_[247];
+ vX_[7453] = vX_[6491] + vX_[8334];
+ vX_[7098] = vX_[4145] * vX_[235] + vX_[4504] * vX_[247] + vX_[7453] * vX_[249];
+ vX_[6878] = 0 - vX_[7098];
+ vX_[3215] = vX_[5030] + vX_[6491] * vX_[235] + vX_[4504] * vX_[249];
+ vX_[2773] = 0 - vX_[3215];
+ vX_[5848] = vX_[5030] + vX_[4145] * vX_[249] + vX_[8334] * vX_[247];
+ vX_[5352] = vX_[2036] + vX_[2008];
+ vX_[5625] = vX_[5012] + vX_[5023] - vX_[5352];
+ vX_[4432] = vX_[4575] + vX_[2030];
+ vX_[5416] = 0 - (vX_[5013] + vX_[5024]) + vX_[4432];
+ vX_[4740] = (vX_[4432] * vX_[235] + vX_[5352] * vX_[249]) * -1;
+ vX_[4732] = 0 - (vX_[5625] * vX_[249] + vX_[5416] * vX_[247]) + vX_[4740];
+ vX_[4716] = vX_[4732] + vX_[3215] * vX_[236];
+ vX_[4696] = 0 - vX_[4716];
+ vX_[4770] = (vX_[4432] * vX_[249] + vX_[5352] * vX_[247]) * -1;
+ vX_[4767] = vX_[5625] * vX_[235] + vX_[5416] * vX_[249] + vX_[4770];
+ vX_[4766] = 0 - vX_[5848];
+ vX_[4775] = vX_[4767] + vX_[7098] * vX_[236] + vX_[4766] * vX_[165];
+ vX_[4774] = vX_[5016] + vX_[2828];
+ vX_[4773] = vX_[5011] + vX_[2756];
+ vX_[4772] = vX_[4774] * vX_[247] + vX_[4773] * vX_[249];
+ vX_[4333] = vX_[5006] + vX_[5026];
+ vX_[6806] = vX_[5015] + vX_[2751];
+ vX_[3920] = vX_[4333] * vX_[249] + vX_[6806] * vX_[247];
+ vX_[3913] = vX_[4772] * vX_[235] + vX_[3920] * vX_[249];
+ vX_[7038] = vX_[4990] + vX_[4862];
+ vX_[4296] = vX_[1967] + vX_[2009];
+ vX_[2922] = 0 - vX_[4296];
+ vX_[3933] = vX_[7038] * vX_[249] + vX_[2922] * vX_[247];
+ vX_[6598] = 0 - vX_[3933];
+ vX_[6564] = vX_[3913] + vX_[6598] * vX_[165] + vX_[2773] * vX_[251];
+ vX_[6124] = 0 - vX_[6564];
+ vX_[5682] = vX_[4774] * vX_[249] + vX_[4773] * vX_[235];
+ vX_[6136] = vX_[4333] * vX_[235] + vX_[6806] * vX_[249];
+ vX_[4324] = vX_[5682] * vX_[249] + vX_[6136] * vX_[247];
+ vX_[4296] = 0 - vX_[4296];
+ vX_[7532] = vX_[7038] * vX_[235] + vX_[4296] * vX_[249];
+ vX_[5007] = 0 - vX_[7532];
+ vX_[4330] = vX_[4324] + vX_[5007] * vX_[236] + vX_[5848] * vX_[251];
+ vX_[3705] = vX_[5682] * vX_[235] + vX_[6136] * vX_[249];
+ vX_[4558] = vX_[3705] + vX_[3933] * vX_[236];
+ vX_[6152] = vX_[4772] * vX_[249] + vX_[3920] * vX_[247];
+ vX_[4331] = vX_[6152] + vX_[7532] * vX_[165] + vX_[6878] * vX_[251];
+ vX_[6117] = 0 - vX_[4558] + vX_[4331];
+ vX_[6165] = 0 - vX_[7098];
+ vX_[6536] = 0 - vX_[3215];
+ vX_[2773] = vX_[6878] * vX_[583] + vX_[2773] * vX_[530] + vX_[5848] * vX_[214] + vX_[4696] * vX_[252] +
+ vX_[4775] * vX_[263] + vX_[6124] * vX_[243] + vX_[4330] * vX_[237] + vX_[6117] * vX_[234] +
+ vX_[6165] * vX_[580] + vX_[7098] * vX_[577] + vX_[6536] * vX_[529] + vX_[5848] * vX_[533];
+ vX_[6878] = 0 - vX_[4348];
+ vX_[3948] = vX_[5124] * 0.881 + (0 - vX_[5141]) * 0.110125 + vX_[5143] * -0.000881;
+ vX_[6547] = vX_[5135] * -0.00370574557885489 + vX_[5137] * 0.880970354035369;
+ vX_[4391] = vX_[6878] * vX_[789] + vX_[3948] * vX_[963] + vX_[6547] * x_in[32];
+ vX_[4725] = 0 - vX_[4027] + vX_[4725];
+ vX_[4027] = 0 - vX_[3948];
+ vX_[4390] = vX_[5135] * 0.417781802643138 + vX_[5137] * -0.00370574557885489;
+ vX_[6138] = vX_[4725] * vX_[789] + vX_[4027] * vX_[2915] - vX_[4390] * x_in[32];
+ vX_[5714] = 0 - vX_[1843];
+ vX_[6559] = vX_[5122] * 3.146 + (0 - vX_[5123]) * 0.47422804 + vX_[5133] * 0.0825825;
+ vX_[6140] = vX_[5126] * vX_[211] + vX_[5127] * vX_[210] + vX_[5123] * vX_[187] + vX_[5133] * vX_[185];
+ vX_[8650] = vX_[4391] * vX_[169] + vX_[6138] * vX_[167] + vX_[5714] * vX_[816] + vX_[6559] * vX_[1018] +
+ vX_[6140] * x_in[31];
+ vX_[5247] = 0 - vX_[4847] + vX_[5247];
+ vX_[4847] = 0 - vX_[6559];
+ vX_[4365] = vX_[5126] * vX_[209] + vX_[5127] * vX_[211] + vX_[5123] * vX_[193] + vX_[5133] * vX_[192];
+ vX_[4364] = vX_[4391] * vX_[1069] + vX_[6138] * vX_[169] + vX_[5247] * vX_[816] + vX_[4847] * vX_[775] -
+ vX_[4365] * x_in[31];
+ vX_[4370] = vX_[5081] * -3.44;
+ vX_[4371] = vX_[5105] * 0.1466472;
+ vX_[3437] = vX_[5120] * -0.5824264;
+ vX_[3305] = 0 - vX_[4370] + vX_[4371] - vX_[3437];
+ vX_[3711] = 0 - vX_[2914];
+ vX_[3292] = vX_[5109] * vX_[263] + vX_[5081] * vX_[237] + vX_[5115] * vX_[234] + vX_[5118] * vX_[577] +
+ vX_[5120] * vX_[527];
+ vX_[5701] = vX_[8650] * vX_[1065] + vX_[4364] * vX_[186] + vX_[3305] * vX_[4087] + vX_[3711] * vX_[824] -
+ vX_[3292] * x_in[30];
+ vX_[3257] = vX_[4599] + vX_[2037] + vX_[5030] - vX_[3215] - vX_[5848];
+ vX_[5727] = 0 - vX_[3257];
+ vX_[4740] = vX_[4740] + vX_[5727] * vX_[236];
+ vX_[4770] = vX_[4770] + vX_[3257] * vX_[165];
+ vX_[4375] = 0 - vX_[4775];
+ vX_[5728] = 0 - vX_[4330];
+ vX_[4378] = vX_[2005] + vX_[2001] + vX_[4773] + vX_[6806] - vX_[3705] - vX_[6152];
+ vX_[4331] = vX_[4378] - vX_[4331];
+ vX_[5725] = 0 - vX_[3933];
+ vX_[4389] = 0 - vX_[7098];
+ vX_[4377] = 0 - vX_[5848];
+ vX_[4388] = vX_[2755] - vX_[5025];
+ vX_[4353] = vX_[4592] - vX_[5025];
+ vX_[4351] = vX_[5019] + vX_[2737];
+ vX_[4514] = vX_[5017] + vX_[4918];
+ vX_[6154] = vX_[5014] + vX_[4899];
+ vX_[8223] = 0 - vX_[6154];
+ vX_[6150] = vX_[4388] * vX_[249] + vX_[4351] * vX_[247];
+ vX_[4356] = vX_[4353] * vX_[249];
+ vX_[3508] = vX_[4388] * vX_[235] + vX_[4351] * vX_[249];
+ vX_[4984] = vX_[4353] * vX_[247];
+ vX_[7395] = vX_[3508] + vX_[4984];
+ vX_[4379] = vX_[5124] * -0.000881 + vX_[5143] * -0.000227999999999999;
+ vX_[4339] = vX_[5124] * 0.110125 + (0 - vX_[5141]) * 0.025713;
+ vX_[4362] = (0 - vX_[5135]) * -0.000881;
+ vX_[4352] = (0 - vX_[5137]) * 0.110125;
+ vX_[4361] = vX_[4362] + vX_[4352];
+ vX_[4361] = vX_[6878] * vX_[1930] + vX_[4725] * vX_[2925] + vX_[4379] * vX_[2915] + vX_[4339] * vX_[963] +
+ vX_[4361] * vX_[789] + vX_[4361] * vX_[789];
+ vX_[4725] = vX_[5122] * 0.0825825 + (0 - vX_[5128]) * -0.000102 + vX_[5123] * -0.007418 + vX_[5133] * 0.002735;
+ vX_[6878] = vX_[5122] * 0.47422804 + vX_[5128] * 2.1e-05 + (0 - vX_[5123]) * 0.084376 + (0 - vX_[5133]) * -0.007418;
+ vX_[7888] = (0 - vX_[5126]) * 0.0825825;
+ vX_[4374] = (0 - vX_[5127]) * 0.47422804;
+ vX_[6381] = vX_[5123] * -0.000102;
+ vX_[4359] = (0 - vX_[5133]) * 2.1e-05;
+ vX_[4373] = vX_[7888] + vX_[4374] + vX_[6381] + vX_[4359];
+ vX_[4373] = vX_[4361] + vX_[4391] * vX_[1077] + vX_[6138] * vX_[168] + vX_[5714] * vX_[797] +
+ vX_[5247] * vX_[2924] + vX_[4725] * vX_[775] + vX_[6878] * vX_[1018] + vX_[4373] * vX_[816] +
+ vX_[4373] * vX_[816];
+ vX_[5247] = vX_[5081] * -0.5824264 + (0 - vX_[5105]) * 0.022734 + vX_[5118] * 3.6e-05 + vX_[5120] * -0.133138;
+ vX_[5714] = vX_[5081] * 0.1466472 + vX_[5105] * 0.009466 + (0 - vX_[5118]) * -5.1e-05 + vX_[5120] * 0.022734;
+ vX_[4357] = (0 - vX_[5109]) * -0.5824264;
+ vX_[4386] = (0 - vX_[5115]) * 0.1466472;
+ vX_[4385] = (0 - vX_[5105]) * 3.6e-05;
+ vX_[1999] = (0 - vX_[5120]) * -5.1e-05;
+ vX_[6144] = vX_[4357] + vX_[4386] + vX_[4385] - vX_[1999];
+ vX_[7398] = vX_[5109] * vX_[268] + vX_[5081] * vX_[527] + vX_[5115] * vX_[580] + vX_[5118] * vX_[579] +
+ vX_[5120] * vX_[231];
+ vX_[6144] = vX_[8650] * vX_[1066] + vX_[4364] * vX_[201] + vX_[4373] * -1 + vX_[5211] * vX_[3339] +
+ vX_[3711] * vX_[806] + vX_[5247] * vX_[4087] + vX_[5714] * vX_[3807] + vX_[6144] * vX_[824] +
+ vX_[6144] * vX_[824] + vX_[7398] * x_in[30];
+ vX_[5139] = vX_[5135] * 0.110125 + vX_[5137] * -0.000881 + vX_[5139] * 0.025941;
+ vX_[5143] = vX_[5124] * -0.000881 + vX_[5143] * 0.000468;
+ vX_[4352] = vX_[4348] * vX_[812] + vX_[4027] * vX_[2925] + vX_[4379] * vX_[789] + vX_[5139] * vX_[963] +
+ vX_[4352] * vX_[2915] + vX_[4352] * vX_[2915] + vX_[5143] * x_in[32];
+ vX_[5141] = vX_[5124] * -0.110125 + vX_[5141] * 0.026409;
+ vX_[5139] = vX_[5202] * vX_[812] + vX_[3948] * vX_[1930] + vX_[4339] * vX_[789] + vX_[5139] * vX_[2915] +
+ vX_[4362] * vX_[963] + vX_[4362] * vX_[963] - vX_[5141] * x_in[32];
+ vX_[4362] = vX_[5126] * 0.47422804 + vX_[5127] * 0.0825825 + vX_[5128] * 0.081641 + (0 - vX_[5123]) * 2.1e-05 +
+ vX_[5133] * -0.000102;
+ vX_[4339] = (0 - vX_[5128]) * -0.007418;
+ vX_[4359] = vX_[4374] + vX_[4339] - vX_[4359];
+ vX_[4374] = vX_[5122] * vX_[180] + vX_[5126] * vX_[192] + vX_[5127] * vX_[185] + vX_[5123] * vX_[226] +
+ vX_[5133] * vX_[222];
+ vX_[4359] = vX_[5203] * -0.35 + vX_[4352] * vX_[169] + vX_[5139] * vX_[167] + vX_[1843] * vX_[968] +
+ vX_[4847] * vX_[2924] + vX_[4725] * vX_[816] + vX_[4362] * vX_[1018] + vX_[4359] * vX_[775] +
+ vX_[4359] * vX_[775] + vX_[4374] * x_in[31];
+ vX_[4339] = vX_[7888] - vX_[4339] - vX_[6381];
+ vX_[6381] = vX_[5122] * vX_[189] + vX_[5126] * vX_[193] + vX_[5127] * vX_[187] + vX_[5123] * vX_[220] +
+ vX_[5133] * vX_[226];
+ vX_[4339] = vX_[4352] * vX_[175] + vX_[5139] * vX_[169] + vX_[4568] * vX_[968] + vX_[6559] * vX_[797] +
+ vX_[6878] * vX_[816] + vX_[4362] * vX_[775] + vX_[4339] * vX_[1018] + vX_[4339] * vX_[1018] -
+ vX_[6381] * x_in[31];
+ vX_[3437] = vX_[4370] - vX_[4371] + vX_[3437];
+ vX_[4371] = vX_[5109] * 0.1466472 + vX_[5115] * -0.5824264 + vX_[5105] * -5.1e-05 + (0 - vX_[5118]) * -0.123672 +
+ (0 - vX_[5120]) * 3.6e-05;
+ vX_[4370] = vX_[5118] * 0.022734;
+ vX_[4385] = vX_[4357] - vX_[4385] - vX_[4370];
+ vX_[4357] = vX_[5109] * vX_[205] + vX_[5081] * vX_[577] + vX_[5115] * vX_[528] + vX_[5118] * vX_[526] +
+ vX_[5120] * vX_[579];
+ vX_[4385] = vX_[4359] * vX_[195] + vX_[4339] * vX_[186] + vX_[3437] * vX_[3339] + vX_[2914] * vX_[3838] +
+ vX_[4371] * vX_[4087] + vX_[5714] * vX_[824] + vX_[4385] * vX_[3807] + vX_[4385] * vX_[3807] -
+ vX_[4357] * x_in[30];
+ vX_[5170] = vX_[5170] * vX_[2018];
+ vX_[5714] = vX_[5170] * vX_[169];
+ vX_[5171] = vX_[5171] * vX_[2018];
+ vX_[2914] = vX_[5171] * vX_[167];
+ vX_[5172] = vX_[5172] * vX_[2018];
+ vX_[5142] = vX_[5142] * vX_[2013];
+ vX_[4362] = vX_[5142] * vX_[169];
+ vX_[6878] = vX_[5142] * vX_[167];
+ vX_[5158] = vX_[5158] * vX_[2025];
+ vX_[6559] = vX_[5158] * vX_[167];
+ vX_[5146] = vX_[5146] * vX_[2015];
+ vX_[4568] = vX_[5146] * vX_[169];
+ vX_[5144] = vX_[5144] * vX_[2013];
+ vX_[7888] = vX_[5144] * vX_[169];
+ vX_[4725] = 0 - vX_[7888];
+ vX_[4847] = vX_[5144] * vX_[167];
+ vX_[1843] = 0 - vX_[6878];
+ vX_[5203] = vX_[5158] * vX_[169];
+ vX_[5159] = vX_[5159] * vX_[2025];
+ vX_[3948] = 0 - vX_[5159];
+ vX_[5202] = vX_[3948] * vX_[169];
+ vX_[5124] = vX_[5159] * vX_[167];
+ vX_[4379] = vX_[5170] + vX_[5146];
+ vX_[5147] = vX_[5147] * vX_[2015];
+ vX_[4027] = 0 - vX_[5171] - vX_[5147];
+ vX_[4348] = vX_[4379] * vX_[167] + vX_[4027] * vX_[169];
+ vX_[5137] = vX_[5147] * vX_[167];
+ vX_[5164] = vX_[5164] * vX_[2025] + vX_[5152] * vX_[2013];
+ vX_[5152] = 0 - vX_[5164];
+ vX_[5135] = 0 - vX_[5164];
+ vX_[3711] = vX_[5135] * vX_[169];
+ vX_[3925] = vX_[5164] * vX_[167];
+ vX_[4349] = vX_[5165] * vX_[1209] + vX_[5351] * vX_[1159] + vX_[5354] * vX_[1194];
+ vX_[4347] = 0 - vX_[4349];
+ vX_[4342] = vX_[5165] * vX_[1294] + vX_[5351] * vX_[1195] + vX_[5354] * vX_[1153];
+ vX_[4341] = vX_[4347] * x_in[18] + vX_[4342] * x_in[19];
+ vX_[4338] = 0 - vX_[4341];
+ vX_[4337] = 0 - vX_[4341];
+ vX_[4346] = vX_[4337] * vX_[169];
+ vX_[4345] = vX_[4341] * vX_[167];
+ vX_[5165] = vX_[5165] * vX_[1192] + vX_[5351] * vX_[1210] + vX_[5354] * vX_[1295];
+ jac[1142] = vX_[4365] * vX_[1119] + vX_[6140] * vX_[797] + vX_[6381] * vX_[2026] + vX_[4374] * vX_[775] +
+ vX_[4373] + vX_[5165] * vX_[1214] + vX_[4349] * vX_[1165] + vX_[4342] * vX_[1198];
+ jac[1178] = vX_[4390] * vX_[1968] + vX_[6547] * vX_[1930] + vX_[5141] * vX_[1653] + vX_[5143] * vX_[2915] +
+ vX_[4361] + vX_[5165] * vX_[1225] + vX_[4349] * vX_[1176] + vX_[4342] * vX_[1199];
+ vX_[5141] = vX_[5165] * x_in[32];
+ vX_[5143] = vX_[5141] * vX_[169];
+ vX_[4361] = vX_[5141] * vX_[167];
+ vX_[4390] = vX_[5165] * x_in[31];
+ vX_[6547] = vX_[4349] * x_in[30];
+ vX_[6381] = 0 - vX_[6547];
+ vX_[4374] = vX_[4390] * vX_[169];
+ vX_[4373] = 0 - vX_[6547];
+ vX_[4365] = vX_[4373] * vX_[169];
+ vX_[6140] = vX_[4390] * vX_[167];
+ vX_[5354] = vX_[6547] * vX_[167];
+ vX_[5351] = vX_[5176] * vX_[1180];
+ vX_[4344] = 0 - vX_[5351];
+ vX_[4343] = 0 - vX_[5351];
+ vX_[3918] = vX_[4343] * vX_[169];
+ vX_[6728] = vX_[5351] * vX_[167];
+ vX_[3524] = 0 - vX_[4740];
+ vX_[3517] = 0 - vX_[4770];
+ vX_[4378] = 0 - vX_[4378] + vX_[4558];
+ vX_[4558] = 0 - vX_[7532];
+ vX_[6154] = 0 - vX_[6154];
+ vX_[5136] = vX_[5136] * vX_[2013];
+ vX_[7938] = vX_[5136] * vX_[167];
+ vX_[5138] = vX_[5138] * vX_[2013];
+ vX_[3881] = 0 - vX_[5138];
+ vX_[6569] = vX_[3881] * vX_[169];
+ vX_[5140] = vX_[5140] * vX_[2013];
+ vX_[5157] = vX_[5157] * vX_[2025];
+ vX_[5173] = vX_[5173] * vX_[2018];
+ vX_[3537] = vX_[5173] * vX_[169];
+ vX_[7399] = vX_[5173] * vX_[167];
+ vX_[7535] = 0 - vX_[7399];
+ vX_[5162] = vX_[5162] * vX_[1124];
+ vX_[7046] = vX_[5162] * vX_[167];
+ vX_[5174] = vX_[5174] * vX_[2018];
+ vX_[6582] = vX_[5174] * vX_[169];
+ vX_[6672] = vX_[5174] * vX_[167];
+ vX_[5163] = vX_[5163] * vX_[1124];
+ vX_[3909] = 0 - vX_[5163];
+ vX_[7017] = vX_[3909] * vX_[169];
+ vX_[6670] = vX_[5136] + vX_[5162];
+ vX_[5163] = vX_[5138] + vX_[5163];
+ vX_[5138] = vX_[6670] * vX_[169] + vX_[5163] * vX_[167];
+ vX_[5160] = vX_[5160] * vX_[2025] + vX_[5151] * vX_[2018];
+ vX_[5151] = 0 - vX_[5160];
+ vX_[3915] = 0 - vX_[5160];
+ vX_[7476] = vX_[3915] * vX_[169];
+ vX_[7101] = vX_[5160] * vX_[167];
+ vX_[6579] = 0 - vX_[4342];
+ vX_[3916] = vX_[5165] * x_in[18] + vX_[6579] * x_in[20];
+ vX_[7042] = 0 - vX_[3916];
+ vX_[6689] = vX_[3916] * vX_[167];
+ vX_[7401] = vX_[5165] * x_in[30];
+ vX_[3552] = vX_[7401] * vX_[167];
+ vX_[6956] = vX_[4349] * x_in[32];
+ vX_[3976] = vX_[6956] * vX_[169];
+ vX_[3975] = vX_[6956] * vX_[167];
+ vX_[6572] = vX_[4349] * x_in[31];
+ vX_[6113] = vX_[7401] * vX_[169];
+ vX_[6730] = vX_[6572] * vX_[169];
+ vX_[6578] = vX_[6572] * vX_[167];
+ vX_[6948] = vX_[5176] * vX_[1246];
+ vX_[3950] = 0 - vX_[6948];
+ vX_[3949] = 0 - vX_[3916];
+ vX_[3955] = 0 - vX_[6948];
+ vX_[3956] = vX_[3949] * vX_[169] + vX_[3955] * vX_[169];
+ vX_[8725] = vX_[6948] * vX_[167];
+ jac[458] =
+ 0 -
+ (0 - (vX_[5018] * vX_[1621] + vX_[5233] * x_in[22]) +
+ (vX_[5010] * vX_[1621] + vX_[2773] * vX_[249] + vX_[5233] * x_in[20]) * 0.3735 -
+ (vX_[5020] * vX_[4058] + vX_[5701] * x_in[23]) + (vX_[5005] * vX_[4058] + vX_[5701] * x_in[19]) * -0.3735 +
+ (vX_[5036] * vX_[4058] +
+ (vX_[6598] * vX_[530] + vX_[7532] * vX_[583] + vX_[3257] * vX_[262] + vX_[4766] * vX_[264] +
+ vX_[4740] * vX_[234] + vX_[4770] * vX_[243] + vX_[4375] * vX_[246] + vX_[5728] * vX_[263] +
+ vX_[4331] * vX_[252] + vX_[5725] * vX_[528] + vX_[7532] * vX_[580] + vX_[4389] * vX_[205] +
+ vX_[4377] * vX_[535]) *
+ -1 +
+ vX_[5701] * x_in[18]) *
+ -0.207 -
+ (vX_[5010] * vX_[1314] + vX_[5005] * vX_[1268] + vX_[4388] * vX_[707] + vX_[4353] * vX_[705] +
+ vX_[4351] * vX_[703] + vX_[4514] * vX_[588] + vX_[8223] * vX_[252] + vX_[6150] * vX_[692] +
+ vX_[4356] * vX_[161] + vX_[7395] * vX_[234] + vX_[4774] * vX_[671] + vX_[4333] * vX_[646] +
+ vX_[4432] * vX_[270] + vX_[5352] * vX_[260] + vX_[4773] * vX_[672] + vX_[6806] * vX_[649] +
+ vX_[5682] * vX_[647] + vX_[4772] * vX_[582] + vX_[6136] * vX_[648] + vX_[3920] * vX_[645] +
+ vX_[5625] * vX_[259] + vX_[5416] * vX_[269] + vX_[4682] * vX_[589] + vX_[4666] * vX_[587] +
+ vX_[4664] * vX_[585] + vX_[7038] * vX_[626] + vX_[4296] * vX_[627] + vX_[4145] * vX_[536] +
+ vX_[4504] * vX_[532] + vX_[7453] * vX_[584] + vX_[2773] * vX_[250] + vX_[6144] * x_in[19] +
+ vX_[4385] * x_in[20]) +
+ vX_[5125] * vX_[2013] + vX_[5161] * vX_[1124] + vX_[5714] * vX_[166] + vX_[2914] * vX_[166] +
+ (0 - vX_[5172]) * 0.3735 + vX_[5172] * vX_[166] * -0.35 + vX_[4362] * 0.35 + vX_[4362] * vX_[186] * 0.08 +
+ vX_[4362] * vX_[166] * 0.3735 + vX_[6878] * vX_[186] * 0.3735 + vX_[6559] * vX_[186] * 0.207 +
+ vX_[4568] * vX_[166] + vX_[4725] * vX_[186] * 0.3735 + vX_[4847] * 0.35 +
+ (vX_[1843] * vX_[166] + vX_[4847] * vX_[186]) * 0.08 + vX_[4847] * vX_[166] * 0.3735 +
+ (vX_[5203] * vX_[166] + vX_[5202] * vX_[186]) * 0.207 + vX_[5124] * vX_[166] * 0.207 +
+ vX_[4348] * vX_[186] + vX_[5137] * vX_[166] + (vX_[7888] * vX_[166] - vX_[5164]) * 0.08 +
+ vX_[5152] * vX_[186] * 0.35 + vX_[3711] * vX_[186] * 0.33 + vX_[3925] * vX_[166] * 0.33 +
+ (0 - vX_[4341]) * 0.08 + vX_[4338] * vX_[186] * 0.35 + vX_[4346] * vX_[186] * 0.33 +
+ vX_[4345] * vX_[166] * 0.33 + vX_[5143] * vX_[166] * 0.33 + vX_[4361] * vX_[186] * 0.33 +
+ vX_[4390] * vX_[166] * 0.35 + (0 - vX_[6547]) * 0.08 + vX_[6381] * vX_[186] * 0.35 +
+ (vX_[4374] * vX_[166] + vX_[4365] * vX_[186]) * 0.33 +
+ (vX_[6140] * vX_[186] + vX_[5354] * vX_[166]) * 0.33 + (0 - vX_[5351]) * 0.08 +
+ vX_[4344] * vX_[186] * 0.35 + vX_[3918] * vX_[186] * 0.33 + vX_[6728] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[5020] * vX_[1621] + vX_[5010] * vX_[1268] + vX_[4388] * vX_[703] + vX_[4514] * vX_[252] +
+ vX_[3508] * vX_[161] + vX_[6150] * vX_[234] + vX_[4333] * vX_[649] + vX_[4432] * vX_[260] +
+ vX_[4773] * vX_[671] + vX_[5682] * vX_[648] + vX_[4772] * vX_[645] + vX_[5625] * vX_[269] +
+ vX_[4682] * vX_[585] + vX_[7038] * vX_[627] + vX_[6491] * vX_[532] + vX_[4145] * vX_[584] +
+ (vX_[3933] * vX_[581] + vX_[5007] * vX_[214] + vX_[7098] * vX_[264] + vX_[5727] * vX_[238] +
+ vX_[3215] * vX_[253] + vX_[3524] * vX_[237] + vX_[4716] * vX_[246] + vX_[3517] * vX_[234] +
+ vX_[6564] * vX_[252] + vX_[4378] * vX_[263] + vX_[3933] * vX_[577] + vX_[4558] * vX_[527] +
+ vX_[7098] * vX_[268] + vX_[3215] * vX_[524]) *
+ 0.207 +
+ vX_[5233] * x_in[23] + vX_[6144] * x_in[20] +
+ (vX_[5005] * vX_[1621] + vX_[2773] * vX_[247] + vX_[5233] * x_in[19]) * 0.3735 +
+ (vX_[5036] * vX_[1621] + vX_[5233] * x_in[18]) * 0.207 - (vX_[5018] * vX_[4058] + vX_[5701] * x_in[22]) +
+ (vX_[5010] * vX_[4058] + vX_[5701] * x_in[20]) * 0.3735 -
+ (vX_[5005] * vX_[1314] + vX_[4353] * vX_[704] + vX_[4351] * vX_[707] + vX_[6154] * vX_[588] +
+ vX_[4356] * vX_[234] + vX_[4984] * vX_[692] + vX_[4774] * vX_[672] + vX_[5352] * vX_[270] +
+ vX_[6806] * vX_[646] + vX_[6136] * vX_[647] + vX_[3920] * vX_[582] + vX_[5416] * vX_[259] +
+ vX_[4666] * vX_[586] + vX_[4664] * vX_[589] + vX_[2922] * vX_[626] + vX_[4504] * vX_[584] +
+ vX_[8334] * vX_[536] + vX_[2773] * vX_[248] + vX_[4385] * x_in[19]) -
+ vX_[5169] * vX_[2018] + vX_[7938] * vX_[186] + vX_[6569] * vX_[186] + (0 - vX_[5140]) * 0.3735 +
+ vX_[5140] * vX_[166] * -0.35 + (0 - vX_[5157]) * 0.207 - vX_[5145] * vX_[2015] + (0 - vX_[3537]) * 0.35 +
+ (0 - vX_[3537] * vX_[186]) * 0.08 + vX_[3537] * vX_[166] * -0.3735 + vX_[7535] * vX_[186] * 0.3735 +
+ vX_[7399] * vX_[166] * 0.08 + vX_[7046] * vX_[186] + vX_[6582] * vX_[186] * 0.3735 +
+ (0 - vX_[6582] * vX_[166]) * 0.08 + (0 - vX_[6672]) * 0.35 + (0 - vX_[6672] * vX_[186]) * 0.08 +
+ vX_[6672] * vX_[166] * -0.3735 + vX_[7017] * vX_[186] + vX_[5138] * vX_[166] + vX_[5151] * vX_[186] * 0.35 +
+ vX_[7476] * vX_[186] * 0.33 + vX_[7101] * vX_[166] * 0.33 + (0 - vX_[3916]) * 0.08 +
+ vX_[7042] * vX_[186] * 0.35 + vX_[6689] * vX_[166] * 0.33 + (0 - vX_[5160] + vX_[7401]) * 0.08 +
+ vX_[7401] * vX_[186] * 0.35 + vX_[3552] * vX_[166] * -0.33 + vX_[3976] * vX_[166] * 0.33 +
+ vX_[3975] * vX_[186] * 0.33 + vX_[6572] * vX_[166] * 0.35 +
+ (vX_[6113] * vX_[186] + vX_[6730] * vX_[166]) * 0.33 + vX_[6578] * vX_[186] * 0.33 +
+ (0 - vX_[6948]) * 0.08 + vX_[3950] * vX_[186] * 0.35 + vX_[3956] * vX_[186] * 0.33 +
+ vX_[8725] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[4351] = vX_[5556] * 0.881 + (0 - vX_[5558]) * -0.000881;
+ vX_[4353] = vX_[5554] * -0.881;
+ vX_[4388] = vX_[5558] * 0.110125;
+ vX_[5727] = vX_[4353] - vX_[4388];
+ vX_[3257] = vX_[4351] * vX_[2915] + vX_[5727] * vX_[963];
+ vX_[2773] = vX_[5546] * 3.146 + (0 - vX_[5547]) * 0.0825825;
+ vX_[5007] = vX_[5545] * -3.146;
+ vX_[4296] = vX_[5547] * 0.47422804;
+ vX_[6136] = vX_[5007] - vX_[4296];
+ vX_[5682] = vX_[3257] + vX_[2773] * vX_[775] + vX_[6136] * vX_[1018];
+ vX_[6598] = vX_[5534] * 3.44 + vX_[5537] * -0.5824264;
+ vX_[2922] = 0 - vX_[6598];
+ vX_[7038] = vX_[5528] * 3.44 + (0 - vX_[5537]) * 0.1466472;
+ vX_[3920] = vX_[5528] * vX_[252] + vX_[5500] * vX_[234] + vX_[5534] * vX_[243] + vX_[5537] * vX_[528] +
+ vX_[5539] * vX_[580];
+ vX_[6806] = vX_[5682] * -1 + vX_[2922] * vX_[4087] + vX_[7038] * vX_[3807] + vX_[3920] * x_in[30];
+ vX_[4333] = vX_[5028] - vX_[5449];
+ vX_[4772] = vX_[5428] + vX_[1979];
+ vX_[4773] = vX_[4333] * vX_[249] + vX_[4772] * vX_[247];
+ vX_[4774] = vX_[1927] - vX_[5449];
+ vX_[4766] = vX_[4774] * vX_[249];
+ vX_[5416] = vX_[4333] * vX_[235] + vX_[4772] * vX_[249];
+ vX_[4432] = vX_[4774] * vX_[247];
+ vX_[5625] = vX_[5416] + vX_[4432];
+ vX_[5352] = vX_[4773] * vX_[235] + vX_[4766] * vX_[247] + vX_[5625] * vX_[249];
+ vX_[7453] = 0 - vX_[5352];
+ vX_[8334] = vX_[5449] + vX_[5416] * vX_[235] + vX_[4766] * vX_[249];
+ vX_[6491] = 0 - vX_[8334];
+ vX_[4504] = vX_[5449] + vX_[4773] * vX_[249] + vX_[4432] * vX_[247];
+ vX_[4666] = vX_[1849] + vX_[1539];
+ vX_[4145] = vX_[5431] + vX_[5442] - vX_[4666];
+ vX_[4664] = vX_[5004] + vX_[1545];
+ vX_[4682] = 0 - (vX_[5432] + vX_[5443]) + vX_[4664];
+ vX_[5169] = (vX_[4664] * vX_[235] + vX_[4666] * vX_[249]) * -1;
+ vX_[5161] = 0 - (vX_[4145] * vX_[249] + vX_[4682] * vX_[247]) + vX_[5169];
+ vX_[5145] = vX_[5161] + vX_[8334] * vX_[236];
+ vX_[5125] = 0 - vX_[5145];
+ vX_[5879] = (vX_[4664] * vX_[249] + vX_[4666] * vX_[247]) * -1;
+ vX_[3284] = vX_[4145] * vX_[235] + vX_[4682] * vX_[249] + vX_[5879];
+ vX_[8322] = 0 - vX_[4504];
+ vX_[5882] = vX_[3284] + vX_[5352] * vX_[236] + vX_[8322] * vX_[165];
+ vX_[8997] = vX_[5435] + vX_[2003];
+ vX_[1461] = vX_[5430] + vX_[1981];
+ vX_[3960] = vX_[8997] * vX_[247] + vX_[1461] * vX_[249];
+ vX_[987] = vX_[5425] + vX_[5445];
+ vX_[3963] = vX_[5434] + vX_[1972];
+ vX_[8793] = vX_[987] * vX_[249] + vX_[3963] * vX_[247];
+ vX_[3974] = vX_[3960] * vX_[235] + vX_[8793] * vX_[249];
+ vX_[3962] = vX_[5419] + vX_[5291];
+ vX_[3973] = vX_[1235] + vX_[1452];
+ vX_[3938] = 0 - vX_[3973];
+ vX_[3936] = vX_[3962] * vX_[249] + vX_[3938] * vX_[247];
+ vX_[4099] = 0 - vX_[3936];
+ vX_[7656] = vX_[3974] + vX_[4099] * vX_[165] + vX_[6491] * vX_[251];
+ vX_[1491] = 0 - vX_[7656];
+ vX_[8801] = vX_[8997] * vX_[249] + vX_[1461] * vX_[235];
+ vX_[3941] = vX_[987] * vX_[235] + vX_[3963] * vX_[249];
+ vX_[6545] = vX_[8801] * vX_[249] + vX_[3941] * vX_[247];
+ vX_[3973] = 0 - vX_[3973];
+ vX_[6549] = vX_[3962] * vX_[235] + vX_[3973] * vX_[249];
+ vX_[2016] = 0 - vX_[6549];
+ vX_[3964] = vX_[6545] + vX_[2016] * vX_[236] + vX_[4504] * vX_[251];
+ vX_[3924] = vX_[8801] * vX_[235] + vX_[3941] * vX_[249];
+ vX_[3947] = vX_[3924] + vX_[3936] * vX_[236];
+ vX_[3937] = vX_[3960] * vX_[249] + vX_[8793] * vX_[247];
+ vX_[3946] = vX_[3937] + vX_[6549] * vX_[165] + vX_[7453] * vX_[251];
+ vX_[7409] = 0 - vX_[3947] + vX_[3946];
+ vX_[3959] = 0 - vX_[5352];
+ vX_[7843] = 0 - vX_[8334];
+ vX_[6491] = vX_[7453] * vX_[583] + vX_[6491] * vX_[530] + vX_[4504] * vX_[214] + vX_[5125] * vX_[252] +
+ vX_[5882] * vX_[263] + vX_[1491] * vX_[243] + vX_[3964] * vX_[237] + vX_[7409] * vX_[234] +
+ vX_[3959] * vX_[580] + vX_[5352] * vX_[577] + vX_[7843] * vX_[529] + vX_[4504] * vX_[533];
+ vX_[7453] = 0 - vX_[4351];
+ vX_[3944] = vX_[5543] * 0.881 + (0 - vX_[5560]) * 0.110125 + vX_[5562] * -0.000881;
+ vX_[3958] = vX_[5554] * -0.00370574557885489 + vX_[5556] * 0.880970354035369;
+ vX_[3942] = vX_[7453] * vX_[789] + vX_[3944] * vX_[963] + vX_[3958] * x_in[32];
+ vX_[4388] = 0 - vX_[4353] + vX_[4388];
+ vX_[4353] = 0 - vX_[3944];
+ vX_[3971] = vX_[5554] * 0.417781802643138 + vX_[5556] * -0.00370574557885489;
+ vX_[3970] = vX_[4388] * vX_[789] + vX_[4353] * vX_[2915] - vX_[3971] * x_in[32];
+ vX_[7522] = 0 - vX_[2773];
+ vX_[6971] = vX_[5541] * 3.146 + (0 - vX_[5542]) * 0.47422804 + vX_[5552] * 0.0825825;
+ vX_[7832] = vX_[5545] * vX_[211] + vX_[5546] * vX_[210] + vX_[5542] * vX_[187] + vX_[5552] * vX_[185];
+ vX_[3529] = vX_[3942] * vX_[169] + vX_[3970] * vX_[167] + vX_[7522] * vX_[816] + vX_[6971] * vX_[1018] +
+ vX_[7832] * x_in[31];
+ vX_[4296] = 0 - vX_[5007] + vX_[4296];
+ vX_[5007] = 0 - vX_[6971];
+ vX_[3934] = vX_[5545] * vX_[209] + vX_[5546] * vX_[211] + vX_[5542] * vX_[193] + vX_[5552] * vX_[192];
+ vX_[3932] = vX_[3942] * vX_[1069] + vX_[3970] * vX_[169] + vX_[4296] * vX_[816] + vX_[5007] * vX_[775] -
+ vX_[3934] * x_in[31];
+ vX_[3927] = vX_[5500] * -3.44;
+ vX_[3926] = vX_[5524] * 0.1466472;
+ vX_[3923] = vX_[5539] * -0.5824264;
+ vX_[3922] = 0 - vX_[3927] + vX_[3926] - vX_[3923];
+ vX_[3931] = 0 - vX_[7038];
+ vX_[3930] = vX_[5528] * vX_[263] + vX_[5500] * vX_[237] + vX_[5534] * vX_[234] + vX_[5537] * vX_[577] +
+ vX_[5539] * vX_[527];
+ vX_[3929] = vX_[3529] * vX_[1065] + vX_[3932] * vX_[186] + vX_[3922] * vX_[4087] + vX_[3931] * vX_[824] -
+ vX_[3930] * x_in[30];
+ vX_[3928] = vX_[5028] + vX_[1927] + vX_[5449] - vX_[8334] - vX_[4504];
+ vX_[3522] = 0 - vX_[3928];
+ vX_[5169] = vX_[5169] + vX_[3522] * vX_[236];
+ vX_[5879] = vX_[5879] + vX_[3928] * vX_[165];
+ vX_[7837] = 0 - vX_[5882];
+ vX_[3118] = 0 - vX_[3964];
+ vX_[3111] = vX_[1301] + vX_[1458] + vX_[1461] + vX_[3963] - vX_[3924] - vX_[3937];
+ vX_[3946] = vX_[3111] - vX_[3946];
+ vX_[2440] = 0 - vX_[3936];
+ vX_[3485] = 0 - vX_[5352];
+ vX_[6997] = 0 - vX_[4504];
+ vX_[3131] = vX_[1977] - vX_[5444];
+ vX_[2055] = vX_[5021] - vX_[5444];
+ vX_[7824] = vX_[5438] + vX_[1924];
+ vX_[6529] = vX_[5436] + vX_[2651];
+ vX_[6992] = vX_[5433] + vX_[2846];
+ vX_[7654] = 0 - vX_[6992];
+ vX_[3513] = vX_[3131] * vX_[249] + vX_[7824] * vX_[247];
+ vX_[7826] = vX_[2055] * vX_[249];
+ vX_[6385] = vX_[3131] * vX_[235] + vX_[7824] * vX_[249];
+ vX_[3519] = vX_[2055] * vX_[247];
+ vX_[5600] = vX_[6385] + vX_[3519];
+ vX_[7018] = vX_[5543] * -0.000881 + vX_[5562] * -0.000227999999999999;
+ vX_[7515] = vX_[5543] * 0.110125 + (0 - vX_[5560]) * 0.025713;
+ vX_[3520] = (0 - vX_[5554]) * -0.000881;
+ vX_[6959] = (0 - vX_[5556]) * 0.110125;
+ vX_[7873] = vX_[3520] + vX_[6959];
+ vX_[7873] = vX_[7453] * vX_[1930] + vX_[4388] * vX_[2925] + vX_[7018] * vX_[2915] + vX_[7515] * vX_[963] +
+ vX_[7873] * vX_[789] + vX_[7873] * vX_[789];
+ vX_[4388] = vX_[5541] * 0.0825825 + (0 - vX_[5547]) * -0.000102 + vX_[5542] * -0.007418 + vX_[5552] * 0.002735;
+ vX_[7453] = vX_[5541] * 0.47422804 + vX_[5547] * 2.1e-05 + (0 - vX_[5542]) * 0.084376 + (0 - vX_[5552]) * -0.007418;
+ vX_[7858] = (0 - vX_[5545]) * 0.0825825;
+ vX_[3146] = (0 - vX_[5546]) * 0.47422804;
+ vX_[7827] = vX_[5542] * -0.000102;
+ vX_[3580] = (0 - vX_[5552]) * 2.1e-05;
+ vX_[3579] = vX_[7858] + vX_[3146] + vX_[7827] + vX_[3580];
+ vX_[3579] = vX_[7873] + vX_[3942] * vX_[1077] + vX_[3970] * vX_[168] + vX_[7522] * vX_[797] +
+ vX_[4296] * vX_[2924] + vX_[4388] * vX_[775] + vX_[7453] * vX_[1018] + vX_[3579] * vX_[816] +
+ vX_[3579] * vX_[816];
+ vX_[4296] = vX_[5500] * -0.5824264 + (0 - vX_[5524]) * 0.022734 + vX_[5537] * 3.6e-05 + vX_[5539] * -0.133138;
+ vX_[7522] = vX_[5500] * 0.1466472 + vX_[5524] * 0.009466 + (0 - vX_[5537]) * -5.1e-05 + vX_[5539] * 0.022734;
+ vX_[6961] = (0 - vX_[5528]) * -0.5824264;
+ vX_[5790] = (0 - vX_[5534]) * 0.1466472;
+ vX_[7867] = (0 - vX_[5524]) * 3.6e-05;
+ vX_[7482] = (0 - vX_[5539]) * -5.1e-05;
+ vX_[6557] = vX_[6961] + vX_[5790] + vX_[7867] - vX_[7482];
+ vX_[3554] = vX_[5528] * vX_[268] + vX_[5500] * vX_[527] + vX_[5534] * vX_[580] + vX_[5537] * vX_[579] +
+ vX_[5539] * vX_[231];
+ vX_[6557] = vX_[3529] * vX_[1066] + vX_[3932] * vX_[201] + vX_[3579] * -1 + vX_[6598] * vX_[3339] +
+ vX_[3931] * vX_[806] + vX_[4296] * vX_[4087] + vX_[7522] * vX_[3807] + vX_[6557] * vX_[824] +
+ vX_[6557] * vX_[824] + vX_[3554] * x_in[30];
+ vX_[5558] = vX_[5554] * 0.110125 + vX_[5556] * -0.000881 + vX_[5558] * 0.025941;
+ vX_[5562] = vX_[5543] * -0.000881 + vX_[5562] * 0.000468;
+ vX_[6959] = vX_[4351] * vX_[812] + vX_[4353] * vX_[2925] + vX_[7018] * vX_[789] + vX_[5558] * vX_[963] +
+ vX_[6959] * vX_[2915] + vX_[6959] * vX_[2915] + vX_[5562] * x_in[32];
+ vX_[5560] = vX_[5543] * -0.110125 + vX_[5560] * 0.026409;
+ vX_[5558] = vX_[5727] * vX_[812] + vX_[3944] * vX_[1930] + vX_[7515] * vX_[789] + vX_[5558] * vX_[2915] +
+ vX_[3520] * vX_[963] + vX_[3520] * vX_[963] - vX_[5560] * x_in[32];
+ vX_[3520] = vX_[5545] * 0.47422804 + vX_[5546] * 0.0825825 + vX_[5547] * 0.081641 + (0 - vX_[5542]) * 2.1e-05 +
+ vX_[5552] * -0.000102;
+ vX_[7515] = (0 - vX_[5547]) * -0.007418;
+ vX_[3580] = vX_[3146] + vX_[7515] - vX_[3580];
+ vX_[3146] = vX_[5541] * vX_[180] + vX_[5545] * vX_[192] + vX_[5546] * vX_[185] + vX_[5542] * vX_[226] +
+ vX_[5552] * vX_[222];
+ vX_[3580] = vX_[3257] * -0.35 + vX_[6959] * vX_[169] + vX_[5558] * vX_[167] + vX_[2773] * vX_[968] +
+ vX_[5007] * vX_[2924] + vX_[4388] * vX_[816] + vX_[3520] * vX_[1018] + vX_[3580] * vX_[775] +
+ vX_[3580] * vX_[775] + vX_[3146] * x_in[31];
+ vX_[7515] = vX_[7858] - vX_[7515] - vX_[7827];
+ vX_[7827] = vX_[5541] * vX_[189] + vX_[5545] * vX_[193] + vX_[5546] * vX_[187] + vX_[5542] * vX_[220] +
+ vX_[5552] * vX_[226];
+ vX_[7515] = vX_[6959] * vX_[175] + vX_[5558] * vX_[169] + vX_[6136] * vX_[968] + vX_[6971] * vX_[797] +
+ vX_[7453] * vX_[816] + vX_[3520] * vX_[775] + vX_[7515] * vX_[1018] + vX_[7515] * vX_[1018] -
+ vX_[7827] * x_in[31];
+ vX_[3923] = vX_[3927] - vX_[3926] + vX_[3923];
+ vX_[3926] = vX_[5528] * 0.1466472 + vX_[5534] * -0.5824264 + vX_[5524] * -5.1e-05 + (0 - vX_[5537]) * -0.123672 +
+ (0 - vX_[5539]) * 3.6e-05;
+ vX_[3927] = vX_[5537] * 0.022734;
+ vX_[7867] = vX_[6961] - vX_[7867] - vX_[3927];
+ vX_[6961] = vX_[5528] * vX_[205] + vX_[5500] * vX_[577] + vX_[5534] * vX_[528] + vX_[5537] * vX_[526] +
+ vX_[5539] * vX_[579];
+ vX_[7867] = vX_[3580] * vX_[195] + vX_[7515] * vX_[186] + vX_[3923] * vX_[3339] + vX_[7038] * vX_[3838] +
+ vX_[3926] * vX_[4087] + vX_[7522] * vX_[824] + vX_[7867] * vX_[3807] + vX_[7867] * vX_[3807] -
+ vX_[6961] * x_in[30];
+ vX_[5589] = vX_[5589] * vX_[2018];
+ vX_[7522] = vX_[5589] * vX_[169];
+ vX_[5590] = vX_[5590] * vX_[2018];
+ vX_[7038] = vX_[5590] * vX_[167];
+ vX_[5591] = vX_[5591] * vX_[2018];
+ vX_[5561] = vX_[5561] * vX_[2013];
+ vX_[3520] = vX_[5561] * vX_[169];
+ vX_[7453] = vX_[5561] * vX_[167];
+ vX_[5577] = vX_[5577] * vX_[2025];
+ vX_[6971] = vX_[5577] * vX_[167];
+ vX_[5565] = vX_[5565] * vX_[2015];
+ vX_[6136] = vX_[5565] * vX_[169];
+ vX_[5563] = vX_[5563] * vX_[2013];
+ vX_[7858] = vX_[5563] * vX_[169];
+ vX_[4388] = 0 - vX_[7858];
+ vX_[5007] = vX_[5563] * vX_[167];
+ vX_[2773] = 0 - vX_[7453];
+ vX_[3257] = vX_[5577] * vX_[169];
+ vX_[5578] = vX_[5578] * vX_[2025];
+ vX_[3944] = 0 - vX_[5578];
+ vX_[5727] = vX_[3944] * vX_[169];
+ vX_[5543] = vX_[5578] * vX_[167];
+ vX_[7018] = vX_[5589] + vX_[5565];
+ vX_[5566] = vX_[5566] * vX_[2015];
+ vX_[4353] = 0 - vX_[5590] - vX_[5566];
+ vX_[4351] = vX_[7018] * vX_[167] + vX_[4353] * vX_[169];
+ vX_[5556] = vX_[5566] * vX_[167];
+ vX_[5583] = vX_[5583] * vX_[2025] + vX_[5571] * vX_[2013];
+ vX_[5571] = 0 - vX_[5583];
+ vX_[5554] = 0 - vX_[5583];
+ vX_[3931] = vX_[5554] * vX_[169];
+ vX_[3553] = vX_[5583] * vX_[167];
+ vX_[3559] = vX_[5584] * vX_[1209] + vX_[5770] * vX_[1159] + vX_[5773] * vX_[1194];
+ vX_[3560] = 0 - vX_[3559];
+ vX_[6964] = vX_[5584] * vX_[1294] + vX_[5770] * vX_[1195] + vX_[5773] * vX_[1153];
+ vX_[6975] = vX_[3560] * x_in[18] + vX_[6964] * x_in[19];
+ vX_[6251] = 0 - vX_[6975];
+ vX_[7012] = 0 - vX_[6975];
+ vX_[7013] = vX_[7012] * vX_[169];
+ vX_[6984] = vX_[6975] * vX_[167];
+ vX_[5584] = vX_[5584] * vX_[1192] + vX_[5770] * vX_[1210] + vX_[5773] * vX_[1295];
+ jac[1143] = vX_[3934] * vX_[1119] + vX_[7832] * vX_[797] + vX_[7827] * vX_[2026] + vX_[3146] * vX_[775] +
+ vX_[3579] + vX_[5584] * vX_[1214] + vX_[3559] * vX_[1165] + vX_[6964] * vX_[1198];
+ jac[1179] = vX_[3971] * vX_[1968] + vX_[3958] * vX_[1930] + vX_[5560] * vX_[1653] + vX_[5562] * vX_[2915] +
+ vX_[7873] + vX_[5584] * vX_[1225] + vX_[3559] * vX_[1176] + vX_[6964] * vX_[1199];
+ vX_[5560] = vX_[5584] * x_in[32];
+ vX_[5562] = vX_[5560] * vX_[169];
+ vX_[7873] = vX_[5560] * vX_[167];
+ vX_[3971] = vX_[5584] * x_in[31];
+ vX_[3958] = vX_[3559] * x_in[30];
+ vX_[7827] = 0 - vX_[3958];
+ vX_[3146] = vX_[3971] * vX_[169];
+ vX_[3579] = 0 - vX_[3958];
+ vX_[3934] = vX_[3579] * vX_[169];
+ vX_[7832] = vX_[3971] * vX_[167];
+ vX_[5773] = vX_[3958] * vX_[167];
+ vX_[5770] = vX_[5595] * vX_[1180];
+ vX_[6988] = 0 - vX_[5770];
+ vX_[3564] = 0 - vX_[5770];
+ vX_[6966] = vX_[3564] * vX_[169];
+ vX_[3567] = vX_[5770] * vX_[167];
+ vX_[6989] = 0 - vX_[5169];
+ vX_[3578] = 0 - vX_[5879];
+ vX_[3111] = 0 - vX_[3111] + vX_[3947];
+ vX_[3947] = 0 - vX_[6549];
+ vX_[6992] = 0 - vX_[6992];
+ vX_[5555] = vX_[5555] * vX_[2013];
+ vX_[3566] = vX_[5555] * vX_[167];
+ vX_[5557] = vX_[5557] * vX_[2013];
+ vX_[3577] = 0 - vX_[5557];
+ vX_[3542] = vX_[3577] * vX_[169];
+ vX_[5559] = vX_[5559] * vX_[2013];
+ vX_[5576] = vX_[5576] * vX_[2025];
+ vX_[5592] = vX_[5592] * vX_[2018];
+ vX_[3540] = vX_[5592] * vX_[169];
+ vX_[3703] = vX_[5592] * vX_[167];
+ vX_[7416] = 0 - vX_[3703];
+ vX_[5581] = vX_[5581] * vX_[1124];
+ vX_[7433] = vX_[5581] * vX_[167];
+ vX_[5593] = vX_[5593] * vX_[2018];
+ vX_[4823] = vX_[5593] * vX_[169];
+ vX_[3545] = vX_[5593] * vX_[167];
+ vX_[5582] = vX_[5582] * vX_[1124];
+ vX_[7016] = 0 - vX_[5582];
+ vX_[5765] = vX_[7016] * vX_[169];
+ vX_[1810] = vX_[5555] + vX_[5581];
+ vX_[5582] = vX_[5557] + vX_[5582];
+ vX_[5557] = vX_[1810] * vX_[169] + vX_[5582] * vX_[167];
+ vX_[5579] = vX_[5579] * vX_[2025] + vX_[5570] * vX_[2018];
+ vX_[5570] = 0 - vX_[5579];
+ vX_[3568] = 0 - vX_[5579];
+ vX_[3528] = vX_[3568] * vX_[169];
+ vX_[3551] = vX_[5579] * vX_[167];
+ vX_[3541] = 0 - vX_[6964];
+ vX_[3550] = vX_[5584] * x_in[18] + vX_[3541] * x_in[20];
+ vX_[1043] = 0 - vX_[3550];
+ vX_[3563] = vX_[3550] * vX_[167];
+ vX_[8228] = vX_[5584] * x_in[30];
+ vX_[3548] = vX_[8228] * vX_[167];
+ vX_[3562] = vX_[3559] * x_in[32];
+ vX_[3546] = vX_[3562] * vX_[169];
+ vX_[3575] = vX_[3562] * vX_[167];
+ vX_[3574] = vX_[3559] * x_in[31];
+ vX_[5746] = vX_[8228] * vX_[169];
+ vX_[7405] = vX_[3574] * vX_[169];
+ vX_[8003] = vX_[3574] * vX_[167];
+ vX_[3123] = vX_[5595] * vX_[1246];
+ vX_[3538] = 0 - vX_[3123];
+ vX_[3536] = 0 - vX_[3550];
+ vX_[3531] = 0 - vX_[3123];
+ vX_[3530] = vX_[3536] * vX_[169] + vX_[3531] * vX_[169];
+ vX_[3527] = vX_[3123] * vX_[167];
+ jac[459] =
+ 0 -
+ (0 - (vX_[5437] * vX_[1621] + vX_[6806] * x_in[22]) +
+ (vX_[5429] * vX_[1621] + vX_[6491] * vX_[249] + vX_[6806] * x_in[20]) * 0.3735 -
+ (vX_[5439] * vX_[4058] + vX_[3929] * x_in[23]) + (vX_[5424] * vX_[4058] + vX_[3929] * x_in[19]) * -0.3735 +
+ (vX_[5455] * vX_[4058] +
+ (vX_[4099] * vX_[530] + vX_[6549] * vX_[583] + vX_[3928] * vX_[262] + vX_[8322] * vX_[264] +
+ vX_[5169] * vX_[234] + vX_[5879] * vX_[243] + vX_[7837] * vX_[246] + vX_[3118] * vX_[263] +
+ vX_[3946] * vX_[252] + vX_[2440] * vX_[528] + vX_[6549] * vX_[580] + vX_[3485] * vX_[205] +
+ vX_[6997] * vX_[535]) *
+ -1 +
+ vX_[3929] * x_in[18]) *
+ -0.207 -
+ (vX_[5429] * vX_[1314] + vX_[5424] * vX_[1268] + vX_[3131] * vX_[707] + vX_[2055] * vX_[705] +
+ vX_[7824] * vX_[703] + vX_[6529] * vX_[588] + vX_[7654] * vX_[252] + vX_[3513] * vX_[692] +
+ vX_[7826] * vX_[161] + vX_[5600] * vX_[234] + vX_[8997] * vX_[671] + vX_[987] * vX_[646] +
+ vX_[4664] * vX_[270] + vX_[4666] * vX_[260] + vX_[1461] * vX_[672] + vX_[3963] * vX_[649] +
+ vX_[8801] * vX_[647] + vX_[3960] * vX_[582] + vX_[3941] * vX_[648] + vX_[8793] * vX_[645] +
+ vX_[4145] * vX_[259] + vX_[4682] * vX_[269] + vX_[4333] * vX_[589] + vX_[4774] * vX_[587] +
+ vX_[4772] * vX_[585] + vX_[3962] * vX_[626] + vX_[3973] * vX_[627] + vX_[4773] * vX_[536] +
+ vX_[4766] * vX_[532] + vX_[5625] * vX_[584] + vX_[6491] * vX_[250] + vX_[6557] * x_in[19] +
+ vX_[7867] * x_in[20]) +
+ vX_[5544] * vX_[2013] + vX_[5580] * vX_[1124] + vX_[7522] * vX_[166] + vX_[7038] * vX_[166] +
+ (0 - vX_[5591]) * 0.3735 + vX_[5591] * vX_[166] * -0.35 + vX_[3520] * 0.35 + vX_[3520] * vX_[186] * 0.08 +
+ vX_[3520] * vX_[166] * 0.3735 + vX_[7453] * vX_[186] * 0.3735 + vX_[6971] * vX_[186] * 0.207 +
+ vX_[6136] * vX_[166] + vX_[4388] * vX_[186] * 0.3735 + vX_[5007] * 0.35 +
+ (vX_[2773] * vX_[166] + vX_[5007] * vX_[186]) * 0.08 + vX_[5007] * vX_[166] * 0.3735 +
+ (vX_[3257] * vX_[166] + vX_[5727] * vX_[186]) * 0.207 + vX_[5543] * vX_[166] * 0.207 +
+ vX_[4351] * vX_[186] + vX_[5556] * vX_[166] + (vX_[7858] * vX_[166] - vX_[5583]) * 0.08 +
+ vX_[5571] * vX_[186] * 0.35 + vX_[3931] * vX_[186] * 0.33 + vX_[3553] * vX_[166] * 0.33 +
+ (0 - vX_[6975]) * 0.08 + vX_[6251] * vX_[186] * 0.35 + vX_[7013] * vX_[186] * 0.33 +
+ vX_[6984] * vX_[166] * 0.33 + vX_[5562] * vX_[166] * 0.33 + vX_[7873] * vX_[186] * 0.33 +
+ vX_[3971] * vX_[166] * 0.35 + (0 - vX_[3958]) * 0.08 + vX_[7827] * vX_[186] * 0.35 +
+ (vX_[3146] * vX_[166] + vX_[3934] * vX_[186]) * 0.33 +
+ (vX_[7832] * vX_[186] + vX_[5773] * vX_[166]) * 0.33 + (0 - vX_[5770]) * 0.08 +
+ vX_[6988] * vX_[186] * 0.35 + vX_[6966] * vX_[186] * 0.33 + vX_[3567] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[5439] * vX_[1621] + vX_[5429] * vX_[1268] + vX_[3131] * vX_[703] + vX_[6529] * vX_[252] +
+ vX_[6385] * vX_[161] + vX_[3513] * vX_[234] + vX_[987] * vX_[649] + vX_[4664] * vX_[260] +
+ vX_[1461] * vX_[671] + vX_[8801] * vX_[648] + vX_[3960] * vX_[645] + vX_[4145] * vX_[269] +
+ vX_[4333] * vX_[585] + vX_[3962] * vX_[627] + vX_[5416] * vX_[532] + vX_[4773] * vX_[584] +
+ (vX_[3936] * vX_[581] + vX_[2016] * vX_[214] + vX_[5352] * vX_[264] + vX_[3522] * vX_[238] +
+ vX_[8334] * vX_[253] + vX_[6989] * vX_[237] + vX_[5145] * vX_[246] + vX_[3578] * vX_[234] +
+ vX_[7656] * vX_[252] + vX_[3111] * vX_[263] + vX_[3936] * vX_[577] + vX_[3947] * vX_[527] +
+ vX_[5352] * vX_[268] + vX_[8334] * vX_[524]) *
+ 0.207 +
+ vX_[6806] * x_in[23] + vX_[6557] * x_in[20] +
+ (vX_[5424] * vX_[1621] + vX_[6491] * vX_[247] + vX_[6806] * x_in[19]) * 0.3735 +
+ (vX_[5455] * vX_[1621] + vX_[6806] * x_in[18]) * 0.207 - (vX_[5437] * vX_[4058] + vX_[3929] * x_in[22]) +
+ (vX_[5429] * vX_[4058] + vX_[3929] * x_in[20]) * 0.3735 -
+ (vX_[5424] * vX_[1314] + vX_[2055] * vX_[704] + vX_[7824] * vX_[707] + vX_[6992] * vX_[588] +
+ vX_[7826] * vX_[234] + vX_[3519] * vX_[692] + vX_[8997] * vX_[672] + vX_[4666] * vX_[270] +
+ vX_[3963] * vX_[646] + vX_[3941] * vX_[647] + vX_[8793] * vX_[582] + vX_[4682] * vX_[259] +
+ vX_[4774] * vX_[586] + vX_[4772] * vX_[589] + vX_[3938] * vX_[626] + vX_[4766] * vX_[584] +
+ vX_[4432] * vX_[536] + vX_[6491] * vX_[248] + vX_[7867] * x_in[19]) -
+ vX_[5588] * vX_[2018] + vX_[3566] * vX_[186] + vX_[3542] * vX_[186] + (0 - vX_[5559]) * 0.3735 +
+ vX_[5559] * vX_[166] * -0.35 + (0 - vX_[5576]) * 0.207 - vX_[5564] * vX_[2015] + (0 - vX_[3540]) * 0.35 +
+ (0 - vX_[3540] * vX_[186]) * 0.08 + vX_[3540] * vX_[166] * -0.3735 + vX_[7416] * vX_[186] * 0.3735 +
+ vX_[3703] * vX_[166] * 0.08 + vX_[7433] * vX_[186] + vX_[4823] * vX_[186] * 0.3735 +
+ (0 - vX_[4823] * vX_[166]) * 0.08 + (0 - vX_[3545]) * 0.35 + (0 - vX_[3545] * vX_[186]) * 0.08 +
+ vX_[3545] * vX_[166] * -0.3735 + vX_[5765] * vX_[186] + vX_[5557] * vX_[166] + vX_[5570] * vX_[186] * 0.35 +
+ vX_[3528] * vX_[186] * 0.33 + vX_[3551] * vX_[166] * 0.33 + (0 - vX_[3550]) * 0.08 +
+ vX_[1043] * vX_[186] * 0.35 + vX_[3563] * vX_[166] * 0.33 + (0 - vX_[5579] + vX_[8228]) * 0.08 +
+ vX_[8228] * vX_[186] * 0.35 + vX_[3548] * vX_[166] * -0.33 + vX_[3546] * vX_[166] * 0.33 +
+ vX_[3575] * vX_[186] * 0.33 + vX_[3574] * vX_[166] * 0.35 +
+ (vX_[5746] * vX_[186] + vX_[7405] * vX_[166]) * 0.33 + vX_[8003] * vX_[186] * 0.33 +
+ (0 - vX_[3123]) * 0.08 + vX_[3538] * vX_[186] * 0.35 + vX_[3530] * vX_[186] * 0.33 +
+ vX_[3527] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[7824] = vX_[5985] * 0.881 + (0 - vX_[5987]) * -0.000881;
+ vX_[2055] = vX_[5983] * -0.881;
+ vX_[3131] = vX_[5987] * 0.110125;
+ vX_[3522] = vX_[2055] - vX_[3131];
+ vX_[3928] = vX_[7824] * vX_[2915] + vX_[3522] * vX_[963];
+ vX_[6491] = vX_[5975] * 3.146 + (0 - vX_[5976]) * 0.0825825;
+ vX_[2016] = vX_[5974] * -3.146;
+ vX_[3973] = vX_[5976] * 0.47422804;
+ vX_[3941] = vX_[2016] - vX_[3973];
+ vX_[8801] = vX_[3928] + vX_[6491] * vX_[775] + vX_[3941] * vX_[1018];
+ vX_[4099] = vX_[5963] * 3.44 + vX_[5966] * -0.5824264;
+ vX_[3938] = 0 - vX_[4099];
+ vX_[3962] = vX_[5957] * 3.44 + (0 - vX_[5966]) * 0.1466472;
+ vX_[8793] = vX_[5957] * vX_[252] + vX_[5929] * vX_[234] + vX_[5963] * vX_[243] + vX_[5966] * vX_[528] +
+ vX_[5968] * vX_[580];
+ vX_[3963] = vX_[8801] * -1 + vX_[3938] * vX_[4087] + vX_[3962] * vX_[3807] + vX_[8793] * x_in[30];
+ vX_[987] = vX_[5447] - vX_[5878];
+ vX_[3960] = vX_[5857] + vX_[3743];
+ vX_[1461] = vX_[987] * vX_[249] + vX_[3960] * vX_[247];
+ vX_[8997] = vX_[1238] - vX_[5878];
+ vX_[8322] = vX_[8997] * vX_[249];
+ vX_[4682] = vX_[987] * vX_[235] + vX_[3960] * vX_[249];
+ vX_[4664] = vX_[8997] * vX_[247];
+ vX_[4145] = vX_[4682] + vX_[4664];
+ vX_[4666] = vX_[1461] * vX_[235] + vX_[8322] * vX_[247] + vX_[4145] * vX_[249];
+ vX_[5625] = 0 - vX_[4666];
+ vX_[4432] = vX_[5878] + vX_[4682] * vX_[235] + vX_[8322] * vX_[249];
+ vX_[5416] = 0 - vX_[4432];
+ vX_[4766] = vX_[5878] + vX_[1461] * vX_[249] + vX_[4664] * vX_[247];
+ vX_[4774] = vX_[1181] + vX_[921];
+ vX_[4773] = vX_[5860] + vX_[5871] - vX_[4774];
+ vX_[4772] = vX_[1548] + vX_[910];
+ vX_[4333] = 0 - (vX_[5861] + vX_[5872]) + vX_[4772];
+ vX_[5588] = (vX_[4772] * vX_[235] + vX_[4774] * vX_[249]) * -1;
+ vX_[5580] = 0 - (vX_[4773] * vX_[249] + vX_[4333] * vX_[247]) + vX_[5588];
+ vX_[5564] = vX_[5580] + vX_[4432] * vX_[236];
+ vX_[5544] = 0 - vX_[5564];
+ vX_[3526] = (vX_[4772] * vX_[249] + vX_[4774] * vX_[247]) * -1;
+ vX_[3535] = vX_[4773] * vX_[235] + vX_[4333] * vX_[249] + vX_[3526];
+ vX_[3534] = 0 - vX_[4766];
+ vX_[3533] = vX_[3535] + vX_[4666] * vX_[236] + vX_[3534] * vX_[165];
+ vX_[3532] = vX_[5864] + vX_[992];
+ vX_[3116] = vX_[5859] + vX_[912];
+ vX_[2681] = vX_[3532] * vX_[247] + vX_[3116] * vX_[249];
+ vX_[2691] = vX_[5854] + vX_[5874];
+ vX_[2684] = vX_[5863] + vX_[833];
+ vX_[1468] = vX_[2691] * vX_[249] + vX_[2684] * vX_[247];
+ vX_[3079] = vX_[2681] * vX_[235] + vX_[1468] * vX_[249];
+ vX_[6205] = vX_[5837] + vX_[5710];
+ vX_[2704] = vX_[9100] + vX_[939];
+ vX_[1308] = 0 - vX_[2704];
+ vX_[9155] = vX_[6205] * vX_[249] + vX_[1308] * vX_[247];
+ vX_[7838] = 0 - vX_[9155];
+ vX_[7825] = vX_[3079] + vX_[7838] * vX_[165] + vX_[5416] * vX_[251];
+ vX_[2608] = 0 - vX_[7825];
+ vX_[3107] = vX_[3532] * vX_[249] + vX_[3116] * vX_[235];
+ vX_[9143] = vX_[2691] * vX_[235] + vX_[2684] * vX_[249];
+ vX_[2486] = vX_[3107] * vX_[249] + vX_[9143] * vX_[247];
+ vX_[2704] = 0 - vX_[2704];
+ vX_[3113] = vX_[6205] * vX_[235] + vX_[2704] * vX_[249];
+ vX_[5254] = 0 - vX_[3113];
+ vX_[7823] = vX_[2486] + vX_[5254] * vX_[236] + vX_[4766] * vX_[251];
+ vX_[2348] = vX_[3107] * vX_[235] + vX_[9143] * vX_[249];
+ vX_[3114] = vX_[2348] + vX_[9155] * vX_[236];
+ vX_[7855] = vX_[2681] * vX_[249] + vX_[1468] * vX_[247];
+ vX_[7441] = vX_[7855] + vX_[3113] * vX_[165] + vX_[5625] * vX_[251];
+ vX_[26] = 0 - vX_[3114] + vX_[7441];
+ vX_[2719] = 0 - vX_[4666];
+ vX_[8288] = 0 - vX_[4432];
+ vX_[5416] = vX_[5625] * vX_[583] + vX_[5416] * vX_[530] + vX_[4766] * vX_[214] + vX_[5544] * vX_[252] +
+ vX_[3533] * vX_[263] + vX_[2608] * vX_[243] + vX_[7823] * vX_[237] + vX_[26] * vX_[234] +
+ vX_[2719] * vX_[580] + vX_[4666] * vX_[577] + vX_[8288] * vX_[529] + vX_[4766] * vX_[533];
+ vX_[5625] = 0 - vX_[7824];
+ vX_[3174] = vX_[5972] * 0.881 + (0 - vX_[5989]) * 0.110125 + vX_[5991] * -0.000881;
+ vX_[3173] = vX_[5983] * -0.00370574557885489 + vX_[5985] * 0.880970354035369;
+ vX_[2098] = vX_[5625] * vX_[789] + vX_[3174] * vX_[963] + vX_[3173] * x_in[32];
+ vX_[3131] = 0 - vX_[2055] + vX_[3131];
+ vX_[2055] = 0 - vX_[3174];
+ vX_[4530] = vX_[5983] * 0.417781802643138 + vX_[5985] * -0.00370574557885489;
+ vX_[9173] = vX_[3131] * vX_[789] + vX_[2055] * vX_[2915] - vX_[4530] * x_in[32];
+ vX_[7943] = 0 - vX_[6491];
+ vX_[2107] = vX_[5970] * 3.146 + (0 - vX_[5971]) * 0.47422804 + vX_[5981] * 0.0825825;
+ vX_[3148] = vX_[5974] * vX_[211] + vX_[5975] * vX_[210] + vX_[5971] * vX_[187] + vX_[5981] * vX_[185];
+ vX_[3147] = vX_[2098] * vX_[169] + vX_[9173] * vX_[167] + vX_[7943] * vX_[816] + vX_[2107] * vX_[1018] +
+ vX_[3148] * x_in[31];
+ vX_[3973] = 0 - vX_[2016] + vX_[3973];
+ vX_[2016] = 0 - vX_[2107];
+ vX_[3153] = vX_[5974] * vX_[209] + vX_[5975] * vX_[211] + vX_[5971] * vX_[193] + vX_[5981] * vX_[192];
+ vX_[3154] = vX_[2098] * vX_[1069] + vX_[9173] * vX_[169] + vX_[3973] * vX_[816] + vX_[2016] * vX_[775] -
+ vX_[3153] * x_in[31];
+ vX_[7443] = vX_[5929] * -3.44;
+ vX_[7429] = vX_[5953] * 0.1466472;
+ vX_[4465] = vX_[5968] * -0.5824264;
+ vX_[4325] = 0 - vX_[7443] + vX_[7429] - vX_[4465];
+ vX_[4250] = 0 - vX_[3962];
+ vX_[4246] = vX_[5957] * vX_[263] + vX_[5929] * vX_[237] + vX_[5963] * vX_[234] + vX_[5966] * vX_[577] +
+ vX_[5968] * vX_[527];
+ vX_[7424] = vX_[3147] * vX_[1065] + vX_[3154] * vX_[186] + vX_[4325] * vX_[4087] + vX_[4250] * vX_[824] -
+ vX_[4246] * x_in[30];
+ vX_[3158] = vX_[5447] + vX_[1238] + vX_[5878] - vX_[4432] - vX_[4766];
+ vX_[7383] = 0 - vX_[3158];
+ vX_[5588] = vX_[5588] + vX_[7383] * vX_[236];
+ vX_[3526] = vX_[3526] + vX_[3158] * vX_[165];
+ vX_[3161] = 0 - vX_[3533];
+ vX_[7382] = 0 - vX_[7823];
+ vX_[3172] = vX_[836] + vX_[935] + vX_[3116] + vX_[2684] - vX_[2348] - vX_[7855];
+ vX_[7441] = vX_[3172] - vX_[7441];
+ vX_[3160] = 0 - vX_[9155];
+ vX_[3171] = 0 - vX_[4666];
+ vX_[3136] = 0 - vX_[4766];
+ vX_[3134] = vX_[3726] - vX_[5873];
+ vX_[3297] = vX_[5440] - vX_[5873];
+ vX_[7809] = vX_[5867] + vX_[827];
+ vX_[2457] = vX_[5865] + vX_[2038];
+ vX_[2398] = vX_[5862] + vX_[2029];
+ vX_[3139] = 0 - vX_[2398];
+ vX_[7390] = vX_[3134] * vX_[249] + vX_[7809] * vX_[247];
+ vX_[4934] = vX_[3297] * vX_[249];
+ vX_[1120] = vX_[3134] * vX_[235] + vX_[7809] * vX_[249];
+ vX_[3162] = vX_[3297] * vX_[247];
+ vX_[3122] = vX_[1120] + vX_[3162];
+ vX_[3145] = vX_[5972] * -0.000881 + vX_[5991] * -0.000227999999999999;
+ vX_[3135] = vX_[5972] * 0.110125 + (0 - vX_[5989]) * 0.025713;
+ vX_[3144] = (0 - vX_[5983]) * -0.000881;
+ vX_[1904] = (0 - vX_[5985]) * 0.110125;
+ vX_[3157] = vX_[3144] + vX_[1904];
+ vX_[3157] = vX_[5625] * vX_[1930] + vX_[3131] * vX_[2925] + vX_[3145] * vX_[2915] + vX_[3135] * vX_[963] +
+ vX_[3157] * vX_[789] + vX_[3157] * vX_[789];
+ vX_[3131] = vX_[5970] * 0.0825825 + (0 - vX_[5976]) * -0.000102 + vX_[5971] * -0.007418 + vX_[5981] * 0.002735;
+ vX_[5625] = vX_[5970] * 0.47422804 + vX_[5976] * 2.1e-05 + (0 - vX_[5971]) * 0.084376 + (0 - vX_[5981]) * -0.007418;
+ vX_[8678] = (0 - vX_[5974]) * 0.0825825;
+ vX_[3142] = (0 - vX_[5975]) * 0.47422804;
+ vX_[3156] = vX_[5971] * -0.000102;
+ vX_[3140] = (0 - vX_[5981]) * 2.1e-05;
+ vX_[3169] = vX_[8678] + vX_[3142] + vX_[3156] + vX_[3140];
+ vX_[3169] = vX_[3157] + vX_[2098] * vX_[1077] + vX_[9173] * vX_[168] + vX_[7943] * vX_[797] +
+ vX_[3973] * vX_[2924] + vX_[3131] * vX_[775] + vX_[5625] * vX_[1018] + vX_[3169] * vX_[816] +
+ vX_[3169] * vX_[816];
+ vX_[3973] = vX_[5929] * -0.5824264 + (0 - vX_[5953]) * 0.022734 + vX_[5966] * 3.6e-05 + vX_[5968] * -0.133138;
+ vX_[7943] = vX_[5929] * 0.1466472 + vX_[5953] * 0.009466 + (0 - vX_[5966]) * -5.1e-05 + vX_[5968] * 0.022734;
+ vX_[3168] = (0 - vX_[5957]) * -0.5824264;
+ vX_[6682] = (0 - vX_[5963]) * 0.1466472;
+ vX_[7584] = (0 - vX_[5953]) * 3.6e-05;
+ vX_[9077] = (0 - vX_[5968]) * -5.1e-05;
+ vX_[2696] = vX_[3168] + vX_[6682] + vX_[7584] - vX_[9077];
+ vX_[3132] = vX_[5957] * vX_[268] + vX_[5929] * vX_[527] + vX_[5963] * vX_[580] + vX_[5966] * vX_[579] +
+ vX_[5968] * vX_[231];
+ vX_[2696] = vX_[3147] * vX_[1066] + vX_[3154] * vX_[201] + vX_[3169] * -1 + vX_[4099] * vX_[3339] +
+ vX_[4250] * vX_[806] + vX_[3973] * vX_[4087] + vX_[7943] * vX_[3807] + vX_[2696] * vX_[824] +
+ vX_[2696] * vX_[824] + vX_[3132] * x_in[30];
+ vX_[5987] = vX_[5983] * 0.110125 + vX_[5985] * -0.000881 + vX_[5987] * 0.025941;
+ vX_[5991] = vX_[5972] * -0.000881 + vX_[5991] * 0.000468;
+ vX_[1904] = vX_[7824] * vX_[812] + vX_[2055] * vX_[2925] + vX_[3145] * vX_[789] + vX_[5987] * vX_[963] +
+ vX_[1904] * vX_[2915] + vX_[1904] * vX_[2915] + vX_[5991] * x_in[32];
+ vX_[5989] = vX_[5972] * -0.110125 + vX_[5989] * 0.026409;
+ vX_[5987] = vX_[3522] * vX_[812] + vX_[3174] * vX_[1930] + vX_[3135] * vX_[789] + vX_[5987] * vX_[2915] +
+ vX_[3144] * vX_[963] + vX_[3144] * vX_[963] - vX_[5989] * x_in[32];
+ vX_[3144] = vX_[5974] * 0.47422804 + vX_[5975] * 0.0825825 + vX_[5976] * 0.081641 + (0 - vX_[5971]) * 2.1e-05 +
+ vX_[5981] * -0.000102;
+ vX_[3135] = (0 - vX_[5976]) * -0.007418;
+ vX_[3140] = vX_[3142] + vX_[3135] - vX_[3140];
+ vX_[3142] = vX_[5970] * vX_[180] + vX_[5974] * vX_[192] + vX_[5975] * vX_[185] + vX_[5971] * vX_[226] +
+ vX_[5981] * vX_[222];
+ vX_[3140] = vX_[3928] * -0.35 + vX_[1904] * vX_[169] + vX_[5987] * vX_[167] + vX_[6491] * vX_[968] +
+ vX_[2016] * vX_[2924] + vX_[3131] * vX_[816] + vX_[3144] * vX_[1018] + vX_[3140] * vX_[775] +
+ vX_[3140] * vX_[775] + vX_[3142] * x_in[31];
+ vX_[3135] = vX_[8678] - vX_[3135] - vX_[3156];
+ vX_[3156] = vX_[5970] * vX_[189] + vX_[5974] * vX_[193] + vX_[5975] * vX_[187] + vX_[5971] * vX_[220] +
+ vX_[5981] * vX_[226];
+ vX_[3135] = vX_[1904] * vX_[175] + vX_[5987] * vX_[169] + vX_[3941] * vX_[968] + vX_[2107] * vX_[797] +
+ vX_[5625] * vX_[816] + vX_[3144] * vX_[775] + vX_[3135] * vX_[1018] + vX_[3135] * vX_[1018] -
+ vX_[3156] * x_in[31];
+ vX_[4465] = vX_[7443] - vX_[7429] + vX_[4465];
+ vX_[7429] = vX_[5957] * 0.1466472 + vX_[5963] * -0.5824264 + vX_[5953] * -5.1e-05 + (0 - vX_[5966]) * -0.123672 +
+ (0 - vX_[5968]) * 3.6e-05;
+ vX_[7443] = vX_[5966] * 0.022734;
+ vX_[7584] = vX_[3168] - vX_[7584] - vX_[7443];
+ vX_[3168] = vX_[5957] * vX_[205] + vX_[5929] * vX_[577] + vX_[5963] * vX_[528] + vX_[5966] * vX_[526] +
+ vX_[5968] * vX_[579];
+ vX_[7584] = vX_[3140] * vX_[195] + vX_[3135] * vX_[186] + vX_[4465] * vX_[3339] + vX_[3962] * vX_[3838] +
+ vX_[7429] * vX_[4087] + vX_[7943] * vX_[824] + vX_[7584] * vX_[3807] + vX_[7584] * vX_[3807] -
+ vX_[3168] * x_in[30];
+ vX_[6018] = vX_[6018] * vX_[2018];
+ vX_[7943] = vX_[6018] * vX_[169];
+ vX_[6019] = vX_[6019] * vX_[2018];
+ vX_[3962] = vX_[6019] * vX_[167];
+ vX_[6020] = vX_[6020] * vX_[2018];
+ vX_[5990] = vX_[5990] * vX_[2013];
+ vX_[3144] = vX_[5990] * vX_[169];
+ vX_[5625] = vX_[5990] * vX_[167];
+ vX_[6006] = vX_[6006] * vX_[2025];
+ vX_[2107] = vX_[6006] * vX_[167];
+ vX_[5994] = vX_[5994] * vX_[2015];
+ vX_[3941] = vX_[5994] * vX_[169];
+ vX_[5992] = vX_[5992] * vX_[2013];
+ vX_[8678] = vX_[5992] * vX_[169];
+ vX_[3131] = 0 - vX_[8678];
+ vX_[2016] = vX_[5992] * vX_[167];
+ vX_[6491] = 0 - vX_[5625];
+ vX_[3928] = vX_[6006] * vX_[169];
+ vX_[6007] = vX_[6007] * vX_[2025];
+ vX_[3174] = 0 - vX_[6007];
+ vX_[3522] = vX_[3174] * vX_[169];
+ vX_[5972] = vX_[6007] * vX_[167];
+ vX_[3145] = vX_[6018] + vX_[5994];
+ vX_[5995] = vX_[5995] * vX_[2015];
+ vX_[2055] = 0 - vX_[6019] - vX_[5995];
+ vX_[7824] = vX_[3145] * vX_[167] + vX_[2055] * vX_[169];
+ vX_[5985] = vX_[5995] * vX_[167];
+ vX_[6012] = vX_[6012] * vX_[2025] + vX_[6000] * vX_[2013];
+ vX_[6000] = 0 - vX_[6012];
+ vX_[5983] = 0 - vX_[6012];
+ vX_[4250] = vX_[5983] * vX_[169];
+ vX_[3130] = vX_[6012] * vX_[167];
+ vX_[3125] = vX_[6013] * vX_[1209] + vX_[6199] * vX_[1159] + vX_[6202] * vX_[1194];
+ vX_[3124] = 0 - vX_[3125];
+ vX_[3121] = vX_[6013] * vX_[1294] + vX_[6199] * vX_[1195] + vX_[6202] * vX_[1153];
+ vX_[3120] = vX_[3124] * x_in[18] + vX_[3121] * x_in[19];
+ vX_[3129] = 0 - vX_[3120];
+ vX_[3128] = 0 - vX_[3120];
+ vX_[3127] = vX_[3128] * vX_[169];
+ vX_[3126] = vX_[3120] * vX_[167];
+ vX_[6013] = vX_[6013] * vX_[1192] + vX_[6199] * vX_[1210] + vX_[6202] * vX_[1295];
+ jac[1144] = vX_[3153] * vX_[1119] + vX_[3148] * vX_[797] + vX_[3156] * vX_[2026] + vX_[3142] * vX_[775] +
+ vX_[3169] + vX_[6013] * vX_[1214] + vX_[3125] * vX_[1165] + vX_[3121] * vX_[1198];
+ jac[1180] = vX_[4530] * vX_[1968] + vX_[3173] * vX_[1930] + vX_[5989] * vX_[1653] + vX_[5991] * vX_[2915] +
+ vX_[3157] + vX_[6013] * vX_[1225] + vX_[3125] * vX_[1176] + vX_[3121] * vX_[1199];
+ vX_[5989] = vX_[6013] * x_in[32];
+ vX_[5991] = vX_[5989] * vX_[169];
+ vX_[3157] = vX_[5989] * vX_[167];
+ vX_[4530] = vX_[6013] * x_in[31];
+ vX_[3173] = vX_[3125] * x_in[30];
+ vX_[3156] = 0 - vX_[3173];
+ vX_[3142] = vX_[4530] * vX_[169];
+ vX_[3169] = 0 - vX_[3173];
+ vX_[3153] = vX_[3169] * vX_[169];
+ vX_[3148] = vX_[4530] * vX_[167];
+ vX_[6202] = vX_[3173] * vX_[167];
+ vX_[6199] = vX_[6024] * vX_[1180];
+ vX_[2689] = 0 - vX_[6199];
+ vX_[419] = 0 - vX_[6199];
+ vX_[2291] = vX_[419] * vX_[169];
+ vX_[2284] = vX_[6199] * vX_[167];
+ vX_[9179] = 0 - vX_[5588];
+ vX_[2652] = 0 - vX_[3526];
+ vX_[3172] = 0 - vX_[3172] + vX_[3114];
+ vX_[3114] = 0 - vX_[3113];
+ vX_[2398] = 0 - vX_[2398];
+ vX_[5984] = vX_[5984] * vX_[2013];
+ vX_[8362] = vX_[5984] * vX_[167];
+ vX_[5986] = vX_[5986] * vX_[2013];
+ vX_[2304] = 0 - vX_[5986];
+ vX_[9078] = vX_[2304] * vX_[169];
+ vX_[5988] = vX_[5988] * vX_[2013];
+ vX_[6005] = vX_[6005] * vX_[2025];
+ vX_[6021] = vX_[6021] * vX_[2018];
+ vX_[22] = vX_[6021] * vX_[169];
+ vX_[9174] = vX_[6021] * vX_[167];
+ vX_[8251] = 0 - vX_[9174];
+ vX_[6010] = vX_[6010] * vX_[1124];
+ vX_[2053] = vX_[6010] * vX_[167];
+ vX_[6022] = vX_[6022] * vX_[2018];
+ vX_[2680] = vX_[6022] * vX_[169];
+ vX_[9212] = vX_[6022] * vX_[167];
+ vX_[6011] = vX_[6011] * vX_[1124];
+ vX_[9167] = 0 - vX_[6011];
+ vX_[2686] = vX_[9167] * vX_[169];
+ vX_[9133] = vX_[5984] + vX_[6010];
+ vX_[6011] = vX_[5986] + vX_[6011];
+ vX_[5986] = vX_[9133] * vX_[169] + vX_[6011] * vX_[167];
+ vX_[6008] = vX_[6008] * vX_[2025] + vX_[5999] * vX_[2018];
+ vX_[5999] = 0 - vX_[6008];
+ vX_[8278] = 0 - vX_[6008];
+ vX_[1463] = vX_[8278] * vX_[169];
+ vX_[2687] = vX_[6008] * vX_[167];
+ vX_[8265] = 0 - vX_[3121];
+ vX_[2857] = vX_[6013] * x_in[18] + vX_[8265] * x_in[20];
+ vX_[1947] = 0 - vX_[2857];
+ vX_[2319] = vX_[2857] * vX_[167];
+ vX_[8660] = vX_[6013] * x_in[30];
+ vX_[2747] = vX_[8660] * vX_[167];
+ vX_[2746] = vX_[3125] * x_in[32];
+ vX_[9140] = vX_[2746] * vX_[169];
+ vX_[8285] = vX_[2746] * vX_[167];
+ vX_[1620] = vX_[3125] * x_in[31];
+ vX_[1143] = vX_[8660] * vX_[169];
+ vX_[8291] = vX_[1620] * vX_[169];
+ vX_[2721] = vX_[1620] * vX_[167];
+ vX_[2720] = vX_[6024] * vX_[1246];
+ vX_[2726] = 0 - vX_[2720];
+ vX_[2727] = 0 - vX_[2857];
+ vX_[7817] = 0 - vX_[2720];
+ vX_[2675] = vX_[2727] * vX_[169] + vX_[7817] * vX_[169];
+ vX_[5346] = vX_[2720] * vX_[167];
+ jac[460] =
+ 0 -
+ (0 - (vX_[5866] * vX_[1621] + vX_[3963] * x_in[22]) +
+ (vX_[5858] * vX_[1621] + vX_[5416] * vX_[249] + vX_[3963] * x_in[20]) * 0.3735 -
+ (vX_[5868] * vX_[4058] + vX_[7424] * x_in[23]) + (vX_[5853] * vX_[4058] + vX_[7424] * x_in[19]) * -0.3735 +
+ (vX_[5884] * vX_[4058] +
+ (vX_[7838] * vX_[530] + vX_[3113] * vX_[583] + vX_[3158] * vX_[262] + vX_[3534] * vX_[264] +
+ vX_[5588] * vX_[234] + vX_[3526] * vX_[243] + vX_[3161] * vX_[246] + vX_[7382] * vX_[263] +
+ vX_[7441] * vX_[252] + vX_[3160] * vX_[528] + vX_[3113] * vX_[580] + vX_[3171] * vX_[205] +
+ vX_[3136] * vX_[535]) *
+ -1 +
+ vX_[7424] * x_in[18]) *
+ -0.207 -
+ (vX_[5858] * vX_[1314] + vX_[5853] * vX_[1268] + vX_[3134] * vX_[707] + vX_[3297] * vX_[705] +
+ vX_[7809] * vX_[703] + vX_[2457] * vX_[588] + vX_[3139] * vX_[252] + vX_[7390] * vX_[692] +
+ vX_[4934] * vX_[161] + vX_[3122] * vX_[234] + vX_[3532] * vX_[671] + vX_[2691] * vX_[646] +
+ vX_[4772] * vX_[270] + vX_[4774] * vX_[260] + vX_[3116] * vX_[672] + vX_[2684] * vX_[649] +
+ vX_[3107] * vX_[647] + vX_[2681] * vX_[582] + vX_[9143] * vX_[648] + vX_[1468] * vX_[645] +
+ vX_[4773] * vX_[259] + vX_[4333] * vX_[269] + vX_[987] * vX_[589] + vX_[8997] * vX_[587] +
+ vX_[3960] * vX_[585] + vX_[6205] * vX_[626] + vX_[2704] * vX_[627] + vX_[1461] * vX_[536] +
+ vX_[8322] * vX_[532] + vX_[4145] * vX_[584] + vX_[5416] * vX_[250] + vX_[2696] * x_in[19] +
+ vX_[7584] * x_in[20]) +
+ vX_[5973] * vX_[2013] + vX_[6009] * vX_[1124] + vX_[7943] * vX_[166] + vX_[3962] * vX_[166] +
+ (0 - vX_[6020]) * 0.3735 + vX_[6020] * vX_[166] * -0.35 + vX_[3144] * 0.35 + vX_[3144] * vX_[186] * 0.08 +
+ vX_[3144] * vX_[166] * 0.3735 + vX_[5625] * vX_[186] * 0.3735 + vX_[2107] * vX_[186] * 0.207 +
+ vX_[3941] * vX_[166] + vX_[3131] * vX_[186] * 0.3735 + vX_[2016] * 0.35 +
+ (vX_[6491] * vX_[166] + vX_[2016] * vX_[186]) * 0.08 + vX_[2016] * vX_[166] * 0.3735 +
+ (vX_[3928] * vX_[166] + vX_[3522] * vX_[186]) * 0.207 + vX_[5972] * vX_[166] * 0.207 +
+ vX_[7824] * vX_[186] + vX_[5985] * vX_[166] + (vX_[8678] * vX_[166] - vX_[6012]) * 0.08 +
+ vX_[6000] * vX_[186] * 0.35 + vX_[4250] * vX_[186] * 0.33 + vX_[3130] * vX_[166] * 0.33 +
+ (0 - vX_[3120]) * 0.08 + vX_[3129] * vX_[186] * 0.35 + vX_[3127] * vX_[186] * 0.33 +
+ vX_[3126] * vX_[166] * 0.33 + vX_[5991] * vX_[166] * 0.33 + vX_[3157] * vX_[186] * 0.33 +
+ vX_[4530] * vX_[166] * 0.35 + (0 - vX_[3173]) * 0.08 + vX_[3156] * vX_[186] * 0.35 +
+ (vX_[3142] * vX_[166] + vX_[3153] * vX_[186]) * 0.33 +
+ (vX_[3148] * vX_[186] + vX_[6202] * vX_[166]) * 0.33 + (0 - vX_[6199]) * 0.08 +
+ vX_[2689] * vX_[186] * 0.35 + vX_[2291] * vX_[186] * 0.33 + vX_[2284] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[5868] * vX_[1621] + vX_[5858] * vX_[1268] + vX_[3134] * vX_[703] + vX_[2457] * vX_[252] +
+ vX_[1120] * vX_[161] + vX_[7390] * vX_[234] + vX_[2691] * vX_[649] + vX_[4772] * vX_[260] +
+ vX_[3116] * vX_[671] + vX_[3107] * vX_[648] + vX_[2681] * vX_[645] + vX_[4773] * vX_[269] +
+ vX_[987] * vX_[585] + vX_[6205] * vX_[627] + vX_[4682] * vX_[532] + vX_[1461] * vX_[584] +
+ (vX_[9155] * vX_[581] + vX_[5254] * vX_[214] + vX_[4666] * vX_[264] + vX_[7383] * vX_[238] +
+ vX_[4432] * vX_[253] + vX_[9179] * vX_[237] + vX_[5564] * vX_[246] + vX_[2652] * vX_[234] +
+ vX_[7825] * vX_[252] + vX_[3172] * vX_[263] + vX_[9155] * vX_[577] + vX_[3114] * vX_[527] +
+ vX_[4666] * vX_[268] + vX_[4432] * vX_[524]) *
+ 0.207 +
+ vX_[3963] * x_in[23] + vX_[2696] * x_in[20] +
+ (vX_[5853] * vX_[1621] + vX_[5416] * vX_[247] + vX_[3963] * x_in[19]) * 0.3735 +
+ (vX_[5884] * vX_[1621] + vX_[3963] * x_in[18]) * 0.207 - (vX_[5866] * vX_[4058] + vX_[7424] * x_in[22]) +
+ (vX_[5858] * vX_[4058] + vX_[7424] * x_in[20]) * 0.3735 -
+ (vX_[5853] * vX_[1314] + vX_[3297] * vX_[704] + vX_[7809] * vX_[707] + vX_[2398] * vX_[588] +
+ vX_[4934] * vX_[234] + vX_[3162] * vX_[692] + vX_[3532] * vX_[672] + vX_[4774] * vX_[270] +
+ vX_[2684] * vX_[646] + vX_[9143] * vX_[647] + vX_[1468] * vX_[582] + vX_[4333] * vX_[259] +
+ vX_[8997] * vX_[586] + vX_[3960] * vX_[589] + vX_[1308] * vX_[626] + vX_[8322] * vX_[584] +
+ vX_[4664] * vX_[536] + vX_[5416] * vX_[248] + vX_[7584] * x_in[19]) -
+ vX_[6017] * vX_[2018] + vX_[8362] * vX_[186] + vX_[9078] * vX_[186] + (0 - vX_[5988]) * 0.3735 +
+ vX_[5988] * vX_[166] * -0.35 + (0 - vX_[6005]) * 0.207 - vX_[5993] * vX_[2015] + (0 - vX_[22]) * 0.35 +
+ (0 - vX_[22] * vX_[186]) * 0.08 + vX_[22] * vX_[166] * -0.3735 + vX_[8251] * vX_[186] * 0.3735 +
+ vX_[9174] * vX_[166] * 0.08 + vX_[2053] * vX_[186] + vX_[2680] * vX_[186] * 0.3735 +
+ (0 - vX_[2680] * vX_[166]) * 0.08 + (0 - vX_[9212]) * 0.35 + (0 - vX_[9212] * vX_[186]) * 0.08 +
+ vX_[9212] * vX_[166] * -0.3735 + vX_[2686] * vX_[186] + vX_[5986] * vX_[166] + vX_[5999] * vX_[186] * 0.35 +
+ vX_[1463] * vX_[186] * 0.33 + vX_[2687] * vX_[166] * 0.33 + (0 - vX_[2857]) * 0.08 +
+ vX_[1947] * vX_[186] * 0.35 + vX_[2319] * vX_[166] * 0.33 + (0 - vX_[6008] + vX_[8660]) * 0.08 +
+ vX_[8660] * vX_[186] * 0.35 + vX_[2747] * vX_[166] * -0.33 + vX_[9140] * vX_[166] * 0.33 +
+ vX_[8285] * vX_[186] * 0.33 + vX_[1620] * vX_[166] * 0.35 +
+ (vX_[1143] * vX_[186] + vX_[8291] * vX_[166]) * 0.33 + vX_[2721] * vX_[186] * 0.33 +
+ (0 - vX_[2720]) * 0.08 + vX_[2726] * vX_[186] * 0.35 + vX_[2675] * vX_[186] * 0.33 +
+ vX_[5346] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[7809] = vX_[6414] * 0.881 + (0 - vX_[6416]) * -0.000881;
+ vX_[3297] = vX_[6412] * -0.881;
+ vX_[3134] = vX_[6416] * 0.110125;
+ vX_[7383] = vX_[3297] - vX_[3134];
+ vX_[3158] = vX_[7809] * vX_[2915] + vX_[7383] * vX_[963];
+ vX_[5416] = vX_[6404] * 3.146 + (0 - vX_[6405]) * 0.0825825;
+ vX_[5254] = vX_[6403] * -3.146;
+ vX_[2704] = vX_[6405] * 0.47422804;
+ vX_[9143] = vX_[5254] - vX_[2704];
+ vX_[3107] = vX_[3158] + vX_[5416] * vX_[775] + vX_[9143] * vX_[1018];
+ vX_[7838] = vX_[6392] * 3.44 + vX_[6395] * -0.5824264;
+ vX_[1308] = 0 - vX_[7838];
+ vX_[6205] = vX_[6386] * 3.44 + (0 - vX_[6395]) * 0.1466472;
+ vX_[1468] = vX_[6386] * vX_[252] + vX_[6358] * vX_[234] + vX_[6392] * vX_[243] + vX_[6395] * vX_[528] +
+ vX_[6397] * vX_[580];
+ vX_[2684] = vX_[3107] * -1 + vX_[1308] * vX_[4087] + vX_[6205] * vX_[3807] + vX_[1468] * x_in[30];
+ vX_[2691] = vX_[5876] - vX_[6307];
+ vX_[2681] = vX_[6286] + vX_[9061];
+ vX_[3116] = vX_[2691] * vX_[249] + vX_[2681] * vX_[247];
+ vX_[3532] = vX_[7934] - vX_[6307];
+ vX_[3534] = vX_[3532] * vX_[249];
+ vX_[4333] = vX_[2691] * vX_[235] + vX_[2681] * vX_[249];
+ vX_[4772] = vX_[3532] * vX_[247];
+ vX_[4773] = vX_[4333] + vX_[4772];
+ vX_[4774] = vX_[3116] * vX_[235] + vX_[3534] * vX_[247] + vX_[4773] * vX_[249];
+ vX_[4145] = 0 - vX_[4774];
+ vX_[4664] = vX_[6307] + vX_[4333] * vX_[235] + vX_[3534] * vX_[249];
+ vX_[4682] = 0 - vX_[4664];
+ vX_[8322] = vX_[6307] + vX_[3116] * vX_[249] + vX_[4772] * vX_[247];
+ vX_[8997] = vX_[7920] + vX_[7913];
+ vX_[1461] = vX_[6289] + vX_[6300] - vX_[8997];
+ vX_[3960] = vX_[7955] + vX_[7907];
+ vX_[987] = 0 - (vX_[6290] + vX_[6301]) + vX_[3960];
+ vX_[6017] = (vX_[3960] * vX_[235] + vX_[8997] * vX_[249]) * -1;
+ vX_[6009] = 0 - (vX_[1461] * vX_[249] + vX_[987] * vX_[247]) + vX_[6017];
+ vX_[5993] = vX_[6009] + vX_[4664] * vX_[236];
+ vX_[5973] = 0 - vX_[5993];
+ vX_[7582] = (vX_[3960] * vX_[249] + vX_[8997] * vX_[247]) * -1;
+ vX_[5336] = vX_[1461] * vX_[235] + vX_[987] * vX_[249] + vX_[7582];
+ vX_[5177] = 0 - vX_[8322];
+ vX_[4938] = vX_[5336] + vX_[4774] * vX_[236] + vX_[5177] * vX_[165];
+ vX_[2731] = vX_[6293] + vX_[9129];
+ vX_[8246] = vX_[6288] + vX_[1622];
+ vX_[2734] = vX_[2731] * vX_[247] + vX_[8246] * vX_[249];
+ vX_[8247] = vX_[6283] + vX_[6303];
+ vX_[2745] = vX_[6292] + vX_[9059];
+ vX_[2733] = vX_[8247] * vX_[249] + vX_[2745] * vX_[247];
+ vX_[2744] = vX_[2734] * vX_[235] + vX_[2733] * vX_[249];
+ vX_[2709] = vX_[6267] + vX_[6139];
+ vX_[2707] = vX_[7896] + vX_[7899];
+ vX_[2870] = 0 - vX_[2707];
+ vX_[8676] = vX_[2709] * vX_[249] + vX_[2870] * vX_[247];
+ vX_[8667] = 0 - vX_[8676];
+ vX_[9256] = vX_[2744] + vX_[8667] * vX_[165] + vX_[4682] * vX_[251];
+ vX_[2712] = 0 - vX_[9256];
+ vX_[8259] = vX_[2731] * vX_[249] + vX_[8246] * vX_[235];
+ vX_[919] = vX_[8247] * vX_[235] + vX_[2745] * vX_[249];
+ vX_[42] = vX_[8259] * vX_[249] + vX_[919] * vX_[247];
+ vX_[2707] = 0 - vX_[2707];
+ vX_[2735] = vX_[2709] * vX_[235] + vX_[2707] * vX_[249];
+ vX_[2695] = 0 - vX_[2735];
+ vX_[2718] = vX_[42] + vX_[2695] * vX_[236] + vX_[8322] * vX_[251];
+ vX_[2708] = vX_[8259] * vX_[235] + vX_[919] * vX_[249];
+ vX_[2717] = vX_[2708] + vX_[8676] * vX_[236];
+ vX_[9104] = vX_[2734] * vX_[249] + vX_[2733] * vX_[247];
+ vX_[2730] = vX_[9104] + vX_[2735] * vX_[165] + vX_[4145] * vX_[251];
+ vX_[9116] = 0 - vX_[2717] + vX_[2730];
+ vX_[2715] = 0 - vX_[4774];
+ vX_[2729] = 0 - vX_[4664];
+ vX_[4682] = vX_[4145] * vX_[583] + vX_[4682] * vX_[530] + vX_[8322] * vX_[214] + vX_[5973] * vX_[252] +
+ vX_[4938] * vX_[263] + vX_[2712] * vX_[243] + vX_[2718] * vX_[237] + vX_[9116] * vX_[234] +
+ vX_[2715] * vX_[580] + vX_[4774] * vX_[577] + vX_[2729] * vX_[529] + vX_[8322] * vX_[533];
+ vX_[4145] = 0 - vX_[7809];
+ vX_[2713] = vX_[6401] * 0.881 + (0 - vX_[6418]) * 0.110125 + vX_[6420] * -0.000881;
+ vX_[2742] = vX_[6412] * -0.00370574557885489 + vX_[6414] * 0.880970354035369;
+ vX_[2741] = vX_[4145] * vX_[789] + vX_[2713] * vX_[963] + vX_[2742] * x_in[32];
+ vX_[3134] = 0 - vX_[3297] + vX_[3134];
+ vX_[3297] = 0 - vX_[2713];
+ vX_[8279] = vX_[6412] * 0.417781802643138 + vX_[6414] * -0.00370574557885489;
+ vX_[8715] = vX_[3134] * vX_[789] + vX_[3297] * vX_[2915] - vX_[8279] * x_in[32];
+ vX_[8431] = 0 - vX_[5416];
+ vX_[2296] = vX_[6399] * 3.146 + (0 - vX_[6400]) * 0.47422804 + vX_[6410] * 0.0825825;
+ vX_[2705] = vX_[6403] * vX_[211] + vX_[6404] * vX_[210] + vX_[6400] * vX_[187] + vX_[6410] * vX_[185];
+ vX_[2703] = vX_[2741] * vX_[169] + vX_[8715] * vX_[167] + vX_[8431] * vX_[816] + vX_[2296] * vX_[1018] +
+ vX_[2705] * x_in[31];
+ vX_[2704] = 0 - vX_[5254] + vX_[2704];
+ vX_[5254] = 0 - vX_[2296];
+ vX_[2698] = vX_[6403] * vX_[209] + vX_[6404] * vX_[211] + vX_[6400] * vX_[193] + vX_[6410] * vX_[192];
+ vX_[2697] = vX_[2741] * vX_[1069] + vX_[8715] * vX_[169] + vX_[2704] * vX_[816] + vX_[5254] * vX_[775] -
+ vX_[2698] * x_in[31];
+ vX_[2694] = vX_[6358] * -3.44;
+ vX_[2693] = vX_[6382] * 0.1466472;
+ vX_[2702] = vX_[6397] * -0.5824264;
+ vX_[2701] = 0 - vX_[2694] + vX_[2693] - vX_[2702];
+ vX_[2700] = 0 - vX_[6205];
+ vX_[2699] = vX_[6386] * vX_[263] + vX_[6358] * vX_[237] + vX_[6392] * vX_[234] + vX_[6395] * vX_[577] +
+ vX_[6397] * vX_[527];
+ vX_[2289] = vX_[2703] * vX_[1065] + vX_[2697] * vX_[186] + vX_[2701] * vX_[4087] + vX_[2700] * vX_[824] -
+ vX_[2699] * x_in[30];
+ vX_[9105] = vX_[5876] + vX_[7934] + vX_[6307] - vX_[4664] - vX_[8322];
+ vX_[1370] = 0 - vX_[9105];
+ vX_[6017] = vX_[6017] + vX_[1370] * vX_[236];
+ vX_[7582] = vX_[7582] + vX_[9105] * vX_[165];
+ vX_[1358] = 0 - vX_[4938];
+ vX_[9117] = 0 - vX_[2718];
+ vX_[2252] = vX_[7850] + vX_[7909] + vX_[8246] + vX_[2745] - vX_[2708] - vX_[9104];
+ vX_[2730] = vX_[2252] - vX_[2730];
+ vX_[9217] = 0 - vX_[8676];
+ vX_[1386] = 0 - vX_[4774];
+ vX_[1776] = 0 - vX_[8322];
+ vX_[9239] = vX_[1310] - vX_[6302];
+ vX_[1148] = vX_[5869] - vX_[6302];
+ vX_[8432] = vX_[6296] + vX_[9065];
+ vX_[459] = vX_[6294] + vX_[1933];
+ vX_[2280] = vX_[6291] + vX_[1764];
+ vX_[1951] = 0 - vX_[2280];
+ vX_[9211] = vX_[9239] * vX_[249] + vX_[8432] * vX_[247];
+ vX_[2286] = vX_[1148] * vX_[249];
+ vX_[8429] = vX_[9239] * vX_[235] + vX_[8432] * vX_[249];
+ vX_[9196] = vX_[1148] * vX_[247];
+ vX_[463] = vX_[8429] + vX_[9196];
+ vX_[2287] = vX_[6401] * -0.000881 + vX_[6420] * -0.000227999999999999;
+ vX_[9216] = vX_[6401] * 0.110125 + (0 - vX_[6418]) * 0.025713;
+ vX_[429] = (0 - vX_[6412]) * -0.000881;
+ vX_[9087] = (0 - vX_[6414]) * 0.110125;
+ vX_[9074] = vX_[429] + vX_[9087];
+ vX_[9074] = vX_[4145] * vX_[1930] + vX_[3134] * vX_[2925] + vX_[2287] * vX_[2915] + vX_[9216] * vX_[963] +
+ vX_[9074] * vX_[789] + vX_[9074] * vX_[789];
+ vX_[3134] = vX_[6399] * 0.0825825 + (0 - vX_[6405]) * -0.000102 + vX_[6400] * -0.007418 + vX_[6410] * 0.002735;
+ vX_[4145] = vX_[6399] * 0.47422804 + vX_[6405] * 2.1e-05 + (0 - vX_[6400]) * 0.084376 + (0 - vX_[6410]) * -0.007418;
+ vX_[1954] = (0 - vX_[6403]) * 0.0825825;
+ vX_[2347] = (0 - vX_[6404]) * 0.47422804;
+ vX_[2346] = vX_[6400] * -0.000102;
+ vX_[9076] = (0 - vX_[6410]) * 2.1e-05;
+ vX_[9313] = vX_[1954] + vX_[2347] + vX_[2346] + vX_[9076];
+ vX_[9313] = vX_[9074] + vX_[2741] * vX_[1077] + vX_[8715] * vX_[168] + vX_[8431] * vX_[797] +
+ vX_[2704] * vX_[2924] + vX_[3134] * vX_[775] + vX_[4145] * vX_[1018] + vX_[9313] * vX_[816] +
+ vX_[9313] * vX_[816];
+ vX_[2704] = vX_[6358] * -0.5824264 + (0 - vX_[6382]) * 0.022734 + vX_[6395] * 3.6e-05 + vX_[6397] * -0.133138;
+ vX_[8431] = vX_[6358] * 0.1466472 + vX_[6382] * 0.009466 + (0 - vX_[6395]) * -5.1e-05 + vX_[6397] * 0.022734;
+ vX_[1955] = (0 - vX_[6386]) * -0.5824264;
+ vX_[9075] = (0 - vX_[6392]) * 0.1466472;
+ vX_[482] = (0 - vX_[6382]) * 3.6e-05;
+ vX_[2321] = (0 - vX_[6397]) * -5.1e-05;
+ vX_[2320] = vX_[1955] + vX_[9075] + vX_[482] - vX_[2321];
+ vX_[2326] = vX_[6386] * vX_[268] + vX_[6358] * vX_[527] + vX_[6392] * vX_[580] + vX_[6395] * vX_[579] +
+ vX_[6397] * vX_[231];
+ vX_[2320] = vX_[2703] * vX_[1066] + vX_[2697] * vX_[201] + vX_[9313] * -1 + vX_[7838] * vX_[3339] +
+ vX_[2700] * vX_[806] + vX_[2704] * vX_[4087] + vX_[8431] * vX_[3807] + vX_[2320] * vX_[824] +
+ vX_[2320] * vX_[824] + vX_[2326] * x_in[30];
+ vX_[6416] = vX_[6412] * 0.110125 + vX_[6414] * -0.000881 + vX_[6416] * 0.025941;
+ vX_[6420] = vX_[6401] * -0.000881 + vX_[6420] * 0.000468;
+ vX_[9087] = vX_[7809] * vX_[812] + vX_[3297] * vX_[2925] + vX_[2287] * vX_[789] + vX_[6416] * vX_[963] +
+ vX_[9087] * vX_[2915] + vX_[9087] * vX_[2915] + vX_[6420] * x_in[32];
+ vX_[6418] = vX_[6401] * -0.110125 + vX_[6418] * 0.026409;
+ vX_[6416] = vX_[7383] * vX_[812] + vX_[2713] * vX_[1930] + vX_[9216] * vX_[789] + vX_[6416] * vX_[2915] +
+ vX_[429] * vX_[963] + vX_[429] * vX_[963] - vX_[6418] * x_in[32];
+ vX_[429] = vX_[6403] * 0.47422804 + vX_[6404] * 0.0825825 + vX_[6405] * 0.081641 + (0 - vX_[6400]) * 2.1e-05 +
+ vX_[6410] * -0.000102;
+ vX_[9216] = (0 - vX_[6405]) * -0.007418;
+ vX_[9076] = vX_[2347] + vX_[9216] - vX_[9076];
+ vX_[2347] = vX_[6399] * vX_[180] + vX_[6403] * vX_[192] + vX_[6404] * vX_[185] + vX_[6400] * vX_[226] +
+ vX_[6410] * vX_[222];
+ vX_[9076] = vX_[3158] * -0.35 + vX_[9087] * vX_[169] + vX_[6416] * vX_[167] + vX_[5416] * vX_[968] +
+ vX_[5254] * vX_[2924] + vX_[3134] * vX_[816] + vX_[429] * vX_[1018] + vX_[9076] * vX_[775] +
+ vX_[9076] * vX_[775] + vX_[2347] * x_in[31];
+ vX_[9216] = vX_[1954] - vX_[9216] - vX_[2346];
+ vX_[2346] = vX_[6399] * vX_[189] + vX_[6403] * vX_[193] + vX_[6404] * vX_[187] + vX_[6400] * vX_[220] +
+ vX_[6410] * vX_[226];
+ vX_[9216] = vX_[9087] * vX_[175] + vX_[6416] * vX_[169] + vX_[9143] * vX_[968] + vX_[2296] * vX_[797] +
+ vX_[4145] * vX_[816] + vX_[429] * vX_[775] + vX_[9216] * vX_[1018] + vX_[9216] * vX_[1018] -
+ vX_[2346] * x_in[31];
+ vX_[2702] = vX_[2694] - vX_[2693] + vX_[2702];
+ vX_[2693] = vX_[6386] * 0.1466472 + vX_[6392] * -0.5824264 + vX_[6382] * -5.1e-05 + (0 - vX_[6395]) * -0.123672 +
+ (0 - vX_[6397]) * 3.6e-05;
+ vX_[2694] = vX_[6395] * 0.022734;
+ vX_[482] = vX_[1955] - vX_[482] - vX_[2694];
+ vX_[1955] = vX_[6386] * vX_[205] + vX_[6358] * vX_[577] + vX_[6392] * vX_[528] + vX_[6395] * vX_[526] +
+ vX_[6397] * vX_[579];
+ vX_[482] = vX_[9076] * vX_[195] + vX_[9216] * vX_[186] + vX_[2702] * vX_[3339] + vX_[6205] * vX_[3838] +
+ vX_[2693] * vX_[4087] + vX_[8431] * vX_[824] + vX_[482] * vX_[3807] + vX_[482] * vX_[3807] -
+ vX_[1955] * x_in[30];
+ vX_[6447] = vX_[6447] * vX_[2018];
+ vX_[8431] = vX_[6447] * vX_[169];
+ vX_[6448] = vX_[6448] * vX_[2018];
+ vX_[6205] = vX_[6448] * vX_[167];
+ vX_[6449] = vX_[6449] * vX_[2018];
+ vX_[6419] = vX_[6419] * vX_[2013];
+ vX_[429] = vX_[6419] * vX_[169];
+ vX_[4145] = vX_[6419] * vX_[167];
+ vX_[6435] = vX_[6435] * vX_[2025];
+ vX_[2296] = vX_[6435] * vX_[167];
+ vX_[6423] = vX_[6423] * vX_[2015];
+ vX_[9143] = vX_[6423] * vX_[169];
+ vX_[6421] = vX_[6421] * vX_[2013];
+ vX_[1954] = vX_[6421] * vX_[169];
+ vX_[3134] = 0 - vX_[1954];
+ vX_[5254] = vX_[6421] * vX_[167];
+ vX_[5416] = 0 - vX_[4145];
+ vX_[3158] = vX_[6435] * vX_[169];
+ vX_[6436] = vX_[6436] * vX_[2025];
+ vX_[2713] = 0 - vX_[6436];
+ vX_[7383] = vX_[2713] * vX_[169];
+ vX_[6401] = vX_[6436] * vX_[167];
+ vX_[2287] = vX_[6447] + vX_[6423];
+ vX_[6424] = vX_[6424] * vX_[2015];
+ vX_[3297] = 0 - vX_[6448] - vX_[6424];
+ vX_[7809] = vX_[2287] * vX_[167] + vX_[3297] * vX_[169];
+ vX_[6414] = vX_[6424] * vX_[167];
+ vX_[6441] = vX_[6441] * vX_[2025] + vX_[6429] * vX_[2013];
+ vX_[6429] = 0 - vX_[6441];
+ vX_[6412] = 0 - vX_[6441];
+ vX_[2700] = vX_[6412] * vX_[169];
+ vX_[2327] = vX_[6441] * vX_[167];
+ vX_[8688] = vX_[6442] * vX_[1209] + vX_[6628] * vX_[1159] + vX_[6631] * vX_[1194];
+ vX_[8691] = 0 - vX_[8688];
+ vX_[8255] = vX_[6442] * vX_[1294] + vX_[6628] * vX_[1195] + vX_[6631] * vX_[1153];
+ vX_[8685] = vX_[8691] * x_in[18] + vX_[8255] * x_in[19];
+ vX_[8287] = 0 - vX_[8685];
+ vX_[9223] = 0 - vX_[8685];
+ vX_[8791] = vX_[9223] * vX_[169];
+ vX_[2331] = vX_[8685] * vX_[167];
+ vX_[6442] = vX_[6442] * vX_[1192] + vX_[6628] * vX_[1210] + vX_[6631] * vX_[1295];
+ jac[1145] = vX_[2698] * vX_[1119] + vX_[2705] * vX_[797] + vX_[2346] * vX_[2026] + vX_[2347] * vX_[775] +
+ vX_[9313] + vX_[6442] * vX_[1214] + vX_[8688] * vX_[1165] + vX_[8255] * vX_[1198];
+ jac[1181] = vX_[8279] * vX_[1968] + vX_[2742] * vX_[1930] + vX_[6418] * vX_[1653] + vX_[6420] * vX_[2915] +
+ vX_[9074] + vX_[6442] * vX_[1225] + vX_[8688] * vX_[1176] + vX_[8255] * vX_[1199];
+ vX_[6418] = vX_[6442] * x_in[32];
+ vX_[6420] = vX_[6418] * vX_[169];
+ vX_[9074] = vX_[6418] * vX_[167];
+ vX_[8279] = vX_[6442] * x_in[31];
+ vX_[2742] = vX_[8688] * x_in[30];
+ vX_[2346] = 0 - vX_[2742];
+ vX_[2347] = vX_[8279] * vX_[169];
+ vX_[9313] = 0 - vX_[2742];
+ vX_[2698] = vX_[9313] * vX_[169];
+ vX_[2705] = vX_[8279] * vX_[167];
+ vX_[6631] = vX_[2742] * vX_[167];
+ vX_[6628] = vX_[6453] * vX_[1180];
+ vX_[8717] = 0 - vX_[6628];
+ vX_[2334] = 0 - vX_[6628];
+ vX_[8706] = vX_[2334] * vX_[169];
+ vX_[2345] = vX_[6628] * vX_[167];
+ vX_[2333] = 0 - vX_[6017];
+ vX_[2344] = 0 - vX_[7582];
+ vX_[2252] = 0 - vX_[2252] + vX_[2717];
+ vX_[2717] = 0 - vX_[2735];
+ vX_[2280] = 0 - vX_[2280];
+ vX_[6413] = vX_[6413] * vX_[2013];
+ vX_[2309] = vX_[6413] * vX_[167];
+ vX_[6415] = vX_[6415] * vX_[2013];
+ vX_[2307] = 0 - vX_[6415];
+ vX_[2470] = vX_[2307] * vX_[169];
+ vX_[6417] = vX_[6417] * vX_[2013];
+ vX_[6434] = vX_[6434] * vX_[2025];
+ vX_[6450] = vX_[6450] * vX_[2018];
+ vX_[407] = vX_[6450] * vX_[169];
+ vX_[410] = vX_[6450] * vX_[167];
+ vX_[423] = 0 - vX_[410];
+ vX_[6439] = vX_[6439] * vX_[1124];
+ vX_[2312] = vX_[6439] * vX_[167];
+ vX_[6451] = vX_[6451] * vX_[2018];
+ vX_[8693] = vX_[6451] * vX_[169];
+ vX_[8719] = vX_[6451] * vX_[167];
+ vX_[6440] = vX_[6440] * vX_[1124];
+ vX_[4138] = 0 - vX_[6440];
+ vX_[2335] = vX_[4138] * vX_[169];
+ vX_[2295] = vX_[6413] + vX_[6439];
+ vX_[6440] = vX_[6415] + vX_[6440];
+ vX_[6415] = vX_[2295] * vX_[169] + vX_[6440] * vX_[167];
+ vX_[6437] = vX_[6437] * vX_[2025] + vX_[6428] * vX_[2018];
+ vX_[6428] = 0 - vX_[6437];
+ vX_[2318] = 0 - vX_[6437];
+ vX_[2308] = vX_[2318] * vX_[169];
+ vX_[2317] = vX_[6437] * vX_[167];
+ vX_[406] = 0 - vX_[8255];
+ vX_[2330] = vX_[6442] * x_in[18] + vX_[406] * x_in[20];
+ vX_[418] = 0 - vX_[2330];
+ vX_[2315] = vX_[2330] * vX_[167];
+ vX_[2329] = vX_[6442] * x_in[30];
+ vX_[2313] = vX_[2329] * vX_[167];
+ vX_[2342] = vX_[8688] * x_in[32];
+ vX_[2341] = vX_[2342] * vX_[169];
+ vX_[9248] = vX_[2342] * vX_[167];
+ vX_[453] = vX_[8688] * x_in[31];
+ vX_[393] = vX_[2329] * vX_[169];
+ vX_[1373] = vX_[453] * vX_[169];
+ vX_[2305] = vX_[453] * vX_[167];
+ vX_[2303] = vX_[6453] * vX_[1246];
+ vX_[2298] = 0 - vX_[2303];
+ vX_[2297] = 0 - vX_[2330];
+ vX_[2294] = 0 - vX_[2303];
+ vX_[2293] = vX_[2297] * vX_[169] + vX_[2294] * vX_[169];
+ vX_[2302] = vX_[2303] * vX_[167];
+ jac[461] =
+ 0 -
+ (0 - (vX_[6295] * vX_[1621] + vX_[2684] * x_in[22]) +
+ (vX_[6287] * vX_[1621] + vX_[4682] * vX_[249] + vX_[2684] * x_in[20]) * 0.3735 -
+ (vX_[6297] * vX_[4058] + vX_[2289] * x_in[23]) + (vX_[6282] * vX_[4058] + vX_[2289] * x_in[19]) * -0.3735 +
+ (vX_[6313] * vX_[4058] +
+ (vX_[8667] * vX_[530] + vX_[2735] * vX_[583] + vX_[9105] * vX_[262] + vX_[5177] * vX_[264] +
+ vX_[6017] * vX_[234] + vX_[7582] * vX_[243] + vX_[1358] * vX_[246] + vX_[9117] * vX_[263] +
+ vX_[2730] * vX_[252] + vX_[9217] * vX_[528] + vX_[2735] * vX_[580] + vX_[1386] * vX_[205] +
+ vX_[1776] * vX_[535]) *
+ -1 +
+ vX_[2289] * x_in[18]) *
+ -0.207 -
+ (vX_[6287] * vX_[1314] + vX_[6282] * vX_[1268] + vX_[9239] * vX_[707] + vX_[1148] * vX_[705] +
+ vX_[8432] * vX_[703] + vX_[459] * vX_[588] + vX_[1951] * vX_[252] + vX_[9211] * vX_[692] +
+ vX_[2286] * vX_[161] + vX_[463] * vX_[234] + vX_[2731] * vX_[671] + vX_[8247] * vX_[646] +
+ vX_[3960] * vX_[270] + vX_[8997] * vX_[260] + vX_[8246] * vX_[672] + vX_[2745] * vX_[649] +
+ vX_[8259] * vX_[647] + vX_[2734] * vX_[582] + vX_[919] * vX_[648] + vX_[2733] * vX_[645] +
+ vX_[1461] * vX_[259] + vX_[987] * vX_[269] + vX_[2691] * vX_[589] + vX_[3532] * vX_[587] +
+ vX_[2681] * vX_[585] + vX_[2709] * vX_[626] + vX_[2707] * vX_[627] + vX_[3116] * vX_[536] +
+ vX_[3534] * vX_[532] + vX_[4773] * vX_[584] + vX_[4682] * vX_[250] + vX_[2320] * x_in[19] +
+ vX_[482] * x_in[20]) +
+ vX_[6402] * vX_[2013] + vX_[6438] * vX_[1124] + vX_[8431] * vX_[166] + vX_[6205] * vX_[166] +
+ (0 - vX_[6449]) * 0.3735 + vX_[6449] * vX_[166] * -0.35 + vX_[429] * 0.35 + vX_[429] * vX_[186] * 0.08 +
+ vX_[429] * vX_[166] * 0.3735 + vX_[4145] * vX_[186] * 0.3735 + vX_[2296] * vX_[186] * 0.207 +
+ vX_[9143] * vX_[166] + vX_[3134] * vX_[186] * 0.3735 + vX_[5254] * 0.35 +
+ (vX_[5416] * vX_[166] + vX_[5254] * vX_[186]) * 0.08 + vX_[5254] * vX_[166] * 0.3735 +
+ (vX_[3158] * vX_[166] + vX_[7383] * vX_[186]) * 0.207 + vX_[6401] * vX_[166] * 0.207 +
+ vX_[7809] * vX_[186] + vX_[6414] * vX_[166] + (vX_[1954] * vX_[166] - vX_[6441]) * 0.08 +
+ vX_[6429] * vX_[186] * 0.35 + vX_[2700] * vX_[186] * 0.33 + vX_[2327] * vX_[166] * 0.33 +
+ (0 - vX_[8685]) * 0.08 + vX_[8287] * vX_[186] * 0.35 + vX_[8791] * vX_[186] * 0.33 +
+ vX_[2331] * vX_[166] * 0.33 + vX_[6420] * vX_[166] * 0.33 + vX_[9074] * vX_[186] * 0.33 +
+ vX_[8279] * vX_[166] * 0.35 + (0 - vX_[2742]) * 0.08 + vX_[2346] * vX_[186] * 0.35 +
+ (vX_[2347] * vX_[166] + vX_[2698] * vX_[186]) * 0.33 +
+ (vX_[2705] * vX_[186] + vX_[6631] * vX_[166]) * 0.33 + (0 - vX_[6628]) * 0.08 +
+ vX_[8717] * vX_[186] * 0.35 + vX_[8706] * vX_[186] * 0.33 + vX_[2345] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[6297] * vX_[1621] + vX_[6287] * vX_[1268] + vX_[9239] * vX_[703] + vX_[459] * vX_[252] +
+ vX_[8429] * vX_[161] + vX_[9211] * vX_[234] + vX_[8247] * vX_[649] + vX_[3960] * vX_[260] +
+ vX_[8246] * vX_[671] + vX_[8259] * vX_[648] + vX_[2734] * vX_[645] + vX_[1461] * vX_[269] +
+ vX_[2691] * vX_[585] + vX_[2709] * vX_[627] + vX_[4333] * vX_[532] + vX_[3116] * vX_[584] +
+ (vX_[8676] * vX_[581] + vX_[2695] * vX_[214] + vX_[4774] * vX_[264] + vX_[1370] * vX_[238] +
+ vX_[4664] * vX_[253] + vX_[2333] * vX_[237] + vX_[5993] * vX_[246] + vX_[2344] * vX_[234] +
+ vX_[9256] * vX_[252] + vX_[2252] * vX_[263] + vX_[8676] * vX_[577] + vX_[2717] * vX_[527] +
+ vX_[4774] * vX_[268] + vX_[4664] * vX_[524]) *
+ 0.207 +
+ vX_[2684] * x_in[23] + vX_[2320] * x_in[20] +
+ (vX_[6282] * vX_[1621] + vX_[4682] * vX_[247] + vX_[2684] * x_in[19]) * 0.3735 +
+ (vX_[6313] * vX_[1621] + vX_[2684] * x_in[18]) * 0.207 - (vX_[6295] * vX_[4058] + vX_[2289] * x_in[22]) +
+ (vX_[6287] * vX_[4058] + vX_[2289] * x_in[20]) * 0.3735 -
+ (vX_[6282] * vX_[1314] + vX_[1148] * vX_[704] + vX_[8432] * vX_[707] + vX_[2280] * vX_[588] +
+ vX_[2286] * vX_[234] + vX_[9196] * vX_[692] + vX_[2731] * vX_[672] + vX_[8997] * vX_[270] +
+ vX_[2745] * vX_[646] + vX_[919] * vX_[647] + vX_[2733] * vX_[582] + vX_[987] * vX_[259] +
+ vX_[3532] * vX_[586] + vX_[2681] * vX_[589] + vX_[2870] * vX_[626] + vX_[3534] * vX_[584] +
+ vX_[4772] * vX_[536] + vX_[4682] * vX_[248] + vX_[482] * x_in[19]) -
+ vX_[6446] * vX_[2018] + vX_[2309] * vX_[186] + vX_[2470] * vX_[186] + (0 - vX_[6417]) * 0.3735 +
+ vX_[6417] * vX_[166] * -0.35 + (0 - vX_[6434]) * 0.207 - vX_[6422] * vX_[2015] + (0 - vX_[407]) * 0.35 +
+ (0 - vX_[407] * vX_[186]) * 0.08 + vX_[407] * vX_[166] * -0.3735 + vX_[423] * vX_[186] * 0.3735 +
+ vX_[410] * vX_[166] * 0.08 + vX_[2312] * vX_[186] + vX_[8693] * vX_[186] * 0.3735 +
+ (0 - vX_[8693] * vX_[166]) * 0.08 + (0 - vX_[8719]) * 0.35 + (0 - vX_[8719] * vX_[186]) * 0.08 +
+ vX_[8719] * vX_[166] * -0.3735 + vX_[2335] * vX_[186] + vX_[6415] * vX_[166] + vX_[6428] * vX_[186] * 0.35 +
+ vX_[2308] * vX_[186] * 0.33 + vX_[2317] * vX_[166] * 0.33 + (0 - vX_[2330]) * 0.08 +
+ vX_[418] * vX_[186] * 0.35 + vX_[2315] * vX_[166] * 0.33 + (0 - vX_[6437] + vX_[2329]) * 0.08 +
+ vX_[2329] * vX_[186] * 0.35 + vX_[2313] * vX_[166] * -0.33 + vX_[2341] * vX_[166] * 0.33 +
+ vX_[9248] * vX_[186] * 0.33 + vX_[453] * vX_[166] * 0.35 +
+ (vX_[393] * vX_[186] + vX_[1373] * vX_[166]) * 0.33 + vX_[2305] * vX_[186] * 0.33 + (0 - vX_[2303]) * 0.08 +
+ vX_[2298] * vX_[186] * 0.35 + vX_[2293] * vX_[186] * 0.33 + vX_[2302] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[8432] = vX_[6833] * 0.881 + (0 - vX_[6835]) * -0.000881;
+ vX_[1148] = vX_[6831] * -0.881;
+ vX_[9239] = vX_[6835] * 0.110125;
+ vX_[1370] = vX_[1148] - vX_[9239];
+ vX_[9105] = vX_[8432] * vX_[2915] + vX_[1370] * vX_[963];
+ vX_[4682] = vX_[6823] * 3.146 + (0 - vX_[6824]) * 0.0825825;
+ vX_[2695] = vX_[6822] * -3.146;
+ vX_[2707] = vX_[6824] * 0.47422804;
+ vX_[919] = vX_[2695] - vX_[2707];
+ vX_[8259] = vX_[9105] + vX_[4682] * vX_[775] + vX_[919] * vX_[1018];
+ vX_[8667] = vX_[6811] * 3.44 + vX_[6814] * -0.5824264;
+ vX_[2870] = 0 - vX_[8667];
+ vX_[2709] = vX_[6805] * 3.44 + (0 - vX_[6814]) * 0.1466472;
+ vX_[2733] = vX_[6694] + vX_[6805] * vX_[252] + vX_[6777] * vX_[234] + vX_[6811] * vX_[243] + vX_[6814] * vX_[528] +
+ vX_[6816] * vX_[580];
+ vX_[2745] = vX_[8259] * -1 + vX_[2870] * vX_[4087] + vX_[2709] * vX_[3807] + vX_[2733] * x_in[30];
+ vX_[8247] = vX_[6305] - vX_[6726];
+ vX_[2734] = vX_[6705] + vX_[7800];
+ vX_[8246] = vX_[8247] * vX_[249] + vX_[2734] * vX_[247];
+ vX_[2731] = vX_[6659] - vX_[6726];
+ vX_[5177] = vX_[2731] * vX_[249];
+ vX_[987] = vX_[8247] * vX_[235] + vX_[2734] * vX_[249];
+ vX_[3960] = vX_[2731] * vX_[247];
+ vX_[1461] = vX_[987] + vX_[3960];
+ vX_[8997] = vX_[8246] * vX_[235] + vX_[5177] * vX_[247] + vX_[1461] * vX_[249];
+ vX_[4773] = 0 - vX_[8997];
+ vX_[4772] = vX_[6726] + vX_[987] * vX_[235] + vX_[5177] * vX_[249];
+ vX_[4333] = 0 - vX_[4772];
+ vX_[3534] = vX_[6726] + vX_[8246] * vX_[249] + vX_[3960] * vX_[247];
+ vX_[3532] = vX_[6661] + vX_[6638];
+ vX_[3116] = vX_[6708] + vX_[6719] - vX_[3532];
+ vX_[2681] = vX_[6680] + vX_[6644];
+ vX_[2691] = 0 - (vX_[6709] + vX_[6720]) + vX_[2681];
+ vX_[6446] = (vX_[2681] * vX_[235] + vX_[3532] * vX_[249]) * -1;
+ vX_[6438] = 0 - (vX_[3116] * vX_[249] + vX_[2691] * vX_[247]) + vX_[6446];
+ vX_[6422] = vX_[6438] + vX_[4772] * vX_[236];
+ vX_[6402] = 0 - vX_[6422];
+ vX_[2301] = (vX_[2681] * vX_[249] + vX_[3532] * vX_[247]) * -1;
+ vX_[2300] = vX_[3116] * vX_[235] + vX_[2691] * vX_[249] + vX_[2301];
+ vX_[2299] = 0 - vX_[3534];
+ vX_[1366] = vX_[2300] + vX_[8997] * vX_[236] + vX_[2299] * vX_[165];
+ vX_[369] = vX_[6712] + vX_[7877];
+ vX_[1562] = vX_[6707] + vX_[7879];
+ vX_[5104] = vX_[369] * vX_[247] + vX_[1562] * vX_[249];
+ vX_[1306] = vX_[6702] + vX_[6722];
+ vX_[1349] = vX_[6711] + vX_[7875];
+ vX_[1916] = vX_[1306] * vX_[249] + vX_[1349] * vX_[247];
+ vX_[2497] = vX_[5104] * vX_[235] + vX_[1916] * vX_[249];
+ vX_[4941] = vX_[6696] + vX_[6568];
+ vX_[4917] = vX_[6609] + vX_[6640];
+ vX_[47] = 0 - vX_[4917];
+ vX_[1944] = vX_[4941] * vX_[249] + vX_[47] * vX_[247];
+ vX_[3731] = 0 - vX_[1944];
+ vX_[1357] = vX_[2497] + vX_[3731] * vX_[165] + vX_[4333] * vX_[251];
+ vX_[9067] = 0 - vX_[1357];
+ vX_[43] = vX_[369] * vX_[249] + vX_[1562] * vX_[235];
+ vX_[1363] = vX_[1306] * vX_[235] + vX_[1349] * vX_[249];
+ vX_[1902] = vX_[43] * vX_[249] + vX_[1363] * vX_[247];
+ vX_[4917] = 0 - vX_[4917];
+ vX_[9073] = vX_[4941] * vX_[235] + vX_[4917] * vX_[249];
+ vX_[9093] = 0 - vX_[9073];
+ vX_[1364] = vX_[1902] + vX_[9093] * vX_[236] + vX_[3534] * vX_[251];
+ vX_[9327] = vX_[43] * vX_[235] + vX_[1363] * vX_[249];
+ vX_[9353] = vX_[9327] + vX_[1944] * vX_[236];
+ vX_[4323] = vX_[5104] * vX_[249] + vX_[1916] * vX_[247];
+ vX_[4482] = vX_[4323] + vX_[9073] * vX_[165] + vX_[4773] * vX_[251];
+ vX_[9054] = 0 - vX_[9353] + vX_[4482];
+ vX_[1649] = 0 - vX_[8997];
+ vX_[1648] = 0 - vX_[4772];
+ vX_[4333] = vX_[4773] * vX_[583] + vX_[4333] * vX_[530] + vX_[3534] * vX_[214] + vX_[6402] * vX_[252] +
+ vX_[1366] * vX_[263] + vX_[9067] * vX_[243] + vX_[1364] * vX_[237] + vX_[9054] * vX_[234] +
+ vX_[1649] * vX_[580] + vX_[8997] * vX_[577] + vX_[1648] * vX_[529] + vX_[3534] * vX_[533];
+ vX_[4773] = 0 - vX_[8432];
+ vX_[9110] = vX_[6820] * 0.881 + (0 - vX_[6837]) * 0.110125 + vX_[6839] * -0.000881;
+ vX_[1825] = vX_[6831] * -0.00370574557885489 + vX_[6833] * 0.880970354035369;
+ vX_[416] = vX_[4773] * vX_[789] + vX_[9110] * vX_[963] + vX_[1825] * x_in[32];
+ vX_[9239] = 0 - vX_[1148] + vX_[9239];
+ vX_[1148] = 0 - vX_[9110];
+ vX_[9240] = vX_[6831] * 0.417781802643138 + vX_[6833] * -0.00370574557885489;
+ vX_[9092] = vX_[9239] * vX_[789] + vX_[1148] * vX_[2915] - vX_[9240] * x_in[32];
+ vX_[1438] = 0 - vX_[4682];
+ vX_[1436] = vX_[6818] * 3.146 + (0 - vX_[6819]) * 0.47422804 + vX_[6829] * 0.0825825;
+ vX_[1576] = vX_[6822] * vX_[211] + vX_[6823] * vX_[210] + vX_[6819] * vX_[187] + vX_[6829] * vX_[185];
+ vX_[1577] = vX_[416] * vX_[169] + vX_[9092] * vX_[167] + vX_[1438] * vX_[816] + vX_[1436] * vX_[1018] +
+ vX_[1576] * x_in[31];
+ vX_[2707] = 0 - vX_[2695] + vX_[2707];
+ vX_[2695] = 0 - vX_[1436];
+ vX_[1701] = vX_[6822] * vX_[209] + vX_[6823] * vX_[211] + vX_[6819] * vX_[193] + vX_[6829] * vX_[192];
+ vX_[1722] = vX_[416] * vX_[1069] + vX_[9092] * vX_[169] + vX_[2707] * vX_[816] + vX_[2695] * vX_[775] -
+ vX_[1701] * x_in[31];
+ vX_[1736] = vX_[6777] * -3.44;
+ vX_[1745] = vX_[6801] * 0.1466472;
+ vX_[1746] = vX_[6816] * -0.5824264;
+ vX_[1751] = 0 - vX_[1736] + vX_[1745] - vX_[1746];
+ vX_[1759] = 0 - vX_[2709];
+ vX_[1592] = vX_[6692] + vX_[6805] * vX_[263] + vX_[6777] * vX_[237] + vX_[6811] * vX_[234] + vX_[6814] * vX_[577] +
+ vX_[6816] * vX_[527];
+ vX_[1792] = vX_[1577] * vX_[1065] + vX_[1722] * vX_[186] + vX_[1751] * vX_[4087] + vX_[1759] * vX_[824] -
+ vX_[1592] * x_in[30];
+ vX_[1601] = vX_[6305] + vX_[6659] + vX_[6726] - vX_[4772] - vX_[3534];
+ vX_[1796] = 0 - vX_[1601];
+ vX_[6446] = vX_[6446] + vX_[1796] * vX_[236];
+ vX_[2301] = vX_[2301] + vX_[1601] * vX_[165];
+ vX_[1640] = 0 - vX_[1366];
+ vX_[1598] = 0 - vX_[1364];
+ vX_[1632] = vX_[6626] + vX_[6634] + vX_[1562] + vX_[1349] - vX_[9327] - vX_[4323];
+ vX_[4482] = vX_[1632] - vX_[4482];
+ vX_[1397] = 0 - vX_[1944];
+ vX_[1390] = 0 - vX_[8997];
+ vX_[2054] = 0 - vX_[3534];
+ vX_[1866] = vX_[7806] - vX_[6721];
+ vX_[9376] = vX_[6298] - vX_[6721];
+ vX_[9094] = vX_[6715] + vX_[7804];
+ vX_[1405] = vX_[6713] + vX_[1227];
+ vX_[1844] = vX_[6710] + vX_[1150];
+ vX_[1873] = 0 - vX_[1844];
+ vX_[4121] = vX_[1866] * vX_[249] + vX_[9094] * vX_[247];
+ vX_[1603] = vX_[9376] * vX_[249];
+ vX_[1372] = vX_[1866] * vX_[235] + vX_[9094] * vX_[249];
+ vX_[1429] = vX_[9376] * vX_[247];
+ vX_[1396] = vX_[1372] + vX_[1429];
+ vX_[1424] = vX_[6820] * -0.000881 + vX_[6839] * -0.000227999999999999;
+ vX_[4134] = vX_[6820] * 0.110125 + (0 - vX_[6837]) * 0.025713;
+ vX_[1587] = (0 - vX_[6831]) * -0.000881;
+ vX_[1654] = (0 - vX_[6833]) * 0.110125;
+ vX_[1415] = vX_[1587] + vX_[1654];
+ vX_[1415] = vX_[4773] * vX_[1930] + vX_[9239] * vX_[2925] + vX_[1424] * vX_[2915] + vX_[4134] * vX_[963] +
+ vX_[1415] * vX_[789] + vX_[1415] * vX_[789];
+ vX_[9239] = vX_[6818] * 0.0825825 + (0 - vX_[6824]) * -0.000102 + vX_[6819] * -0.007418 + vX_[6829] * 0.002735;
+ vX_[4773] = vX_[6818] * 0.47422804 + vX_[6824] * 2.1e-05 + (0 - vX_[6819]) * 0.084376 + (0 - vX_[6829]) * -0.007418;
+ vX_[1581] = (0 - vX_[6822]) * 0.0825825;
+ vX_[1406] = (0 - vX_[6823]) * 0.47422804;
+ vX_[1628] = vX_[6819] * -0.000102;
+ vX_[1626] = (0 - vX_[6829]) * 2.1e-05;
+ vX_[1891] = vX_[1581] + vX_[1406] + vX_[1628] + vX_[1626];
+ vX_[1891] = vX_[1415] + vX_[416] * vX_[1077] + vX_[9092] * vX_[168] + vX_[1438] * vX_[797] + vX_[2707] * vX_[2924] +
+ vX_[9239] * vX_[775] + vX_[4773] * vX_[1018] + vX_[1891] * vX_[816] + vX_[1891] * vX_[816];
+ vX_[2707] = vX_[6777] * -0.5824264 + (0 - vX_[6801]) * 0.022734 + vX_[6814] * 3.6e-05 + vX_[6816] * -0.133138;
+ vX_[1438] = vX_[6777] * 0.1466472 + vX_[6801] * 0.009466 + (0 - vX_[6814]) * -5.1e-05 + vX_[6816] * 0.022734;
+ vX_[8850] = (0 - vX_[6805]) * -0.5824264;
+ vX_[551] = (0 - vX_[6811]) * 0.1466472;
+ vX_[691] = (0 - vX_[6801]) * 3.6e-05;
+ vX_[1387] = (0 - vX_[6816]) * -5.1e-05;
+ vX_[1385] = vX_[8850] + vX_[551] + vX_[691] - vX_[1387];
+ vX_[1379] = vX_[6700] + vX_[6805] * vX_[268] + vX_[6777] * vX_[527] + vX_[6811] * vX_[580] + vX_[6814] * vX_[579] +
+ vX_[6816] * vX_[231];
+ vX_[1385] = vX_[1577] * vX_[1066] + vX_[1722] * vX_[201] + vX_[1891] * -1 + vX_[8667] * vX_[3339] +
+ vX_[1759] * vX_[806] + vX_[2707] * vX_[4087] + vX_[1438] * vX_[3807] + vX_[1385] * vX_[824] +
+ vX_[1385] * vX_[824] + vX_[1379] * x_in[30];
+ vX_[6835] = vX_[6831] * 0.110125 + vX_[6833] * -0.000881 + vX_[6835] * 0.025941;
+ vX_[6839] = vX_[6820] * -0.000881 + vX_[6839] * 0.000468;
+ vX_[1654] = vX_[8432] * vX_[812] + vX_[1148] * vX_[2925] + vX_[1424] * vX_[789] + vX_[6835] * vX_[963] +
+ vX_[1654] * vX_[2915] + vX_[1654] * vX_[2915] + vX_[6839] * x_in[32];
+ vX_[6837] = vX_[6820] * -0.110125 + vX_[6837] * 0.026409;
+ vX_[6835] = vX_[1370] * vX_[812] + vX_[9110] * vX_[1930] + vX_[4134] * vX_[789] + vX_[6835] * vX_[2915] +
+ vX_[1587] * vX_[963] + vX_[1587] * vX_[963] - vX_[6837] * x_in[32];
+ vX_[1587] = vX_[6822] * 0.47422804 + vX_[6823] * 0.0825825 + vX_[6824] * 0.081641 + (0 - vX_[6819]) * 2.1e-05 +
+ vX_[6829] * -0.000102;
+ vX_[4134] = (0 - vX_[6824]) * -0.007418;
+ vX_[1626] = vX_[1406] + vX_[4134] - vX_[1626];
+ vX_[1406] = vX_[6818] * vX_[180] + vX_[6822] * vX_[192] + vX_[6823] * vX_[185] + vX_[6819] * vX_[226] +
+ vX_[6829] * vX_[222];
+ vX_[1626] = vX_[9105] * -0.35 + vX_[1654] * vX_[169] + vX_[6835] * vX_[167] + vX_[4682] * vX_[968] +
+ vX_[2695] * vX_[2924] + vX_[9239] * vX_[816] + vX_[1587] * vX_[1018] + vX_[1626] * vX_[775] +
+ vX_[1626] * vX_[775] + vX_[1406] * x_in[31];
+ vX_[4134] = vX_[1581] - vX_[4134] - vX_[1628];
+ vX_[1628] = vX_[6818] * vX_[189] + vX_[6822] * vX_[193] + vX_[6823] * vX_[187] + vX_[6819] * vX_[220] +
+ vX_[6829] * vX_[226];
+ vX_[4134] = vX_[1654] * vX_[175] + vX_[6835] * vX_[169] + vX_[919] * vX_[968] + vX_[1436] * vX_[797] +
+ vX_[4773] * vX_[816] + vX_[1587] * vX_[775] + vX_[4134] * vX_[1018] + vX_[4134] * vX_[1018] -
+ vX_[1628] * x_in[31];
+ vX_[1746] = vX_[1736] - vX_[1745] + vX_[1746];
+ vX_[1745] = vX_[6805] * 0.1466472 + vX_[6811] * -0.5824264 + vX_[6801] * -5.1e-05 + (0 - vX_[6814]) * -0.123672 +
+ (0 - vX_[6816]) * 3.6e-05;
+ vX_[1736] = vX_[6814] * 0.022734;
+ vX_[691] = vX_[8850] - vX_[691] - vX_[1736];
+ vX_[8850] = vX_[6698] + vX_[6805] * vX_[205] + vX_[6777] * vX_[577] + vX_[6811] * vX_[528] + vX_[6814] * vX_[526] +
+ vX_[6816] * vX_[579];
+ vX_[691] = vX_[1626] * vX_[195] + vX_[4134] * vX_[186] + vX_[1746] * vX_[3339] + vX_[2709] * vX_[3838] +
+ vX_[1745] * vX_[4087] + vX_[1438] * vX_[824] + vX_[691] * vX_[3807] + vX_[691] * vX_[3807] -
+ vX_[8850] * x_in[30];
+ vX_[6866] = vX_[6866] * vX_[2018];
+ vX_[1438] = vX_[6866] * vX_[169];
+ vX_[6867] = vX_[6867] * vX_[2018];
+ vX_[2709] = vX_[6867] * vX_[167];
+ vX_[6868] = vX_[6868] * vX_[2018];
+ vX_[6838] = vX_[6838] * vX_[2013];
+ vX_[1587] = vX_[6838] * vX_[169];
+ vX_[4773] = vX_[6838] * vX_[167];
+ vX_[6854] = vX_[6854] * vX_[2025];
+ vX_[1436] = vX_[6854] * vX_[167];
+ vX_[6842] = vX_[6842] * vX_[2015];
+ vX_[919] = vX_[6842] * vX_[169];
+ vX_[6840] = vX_[6840] * vX_[2013];
+ vX_[1581] = vX_[6840] * vX_[169];
+ vX_[9239] = 0 - vX_[1581];
+ vX_[2695] = vX_[6840] * vX_[167];
+ vX_[4682] = 0 - vX_[4773];
+ vX_[9105] = vX_[6854] * vX_[169];
+ vX_[6855] = vX_[6855] * vX_[2025];
+ vX_[9110] = 0 - vX_[6855];
+ vX_[1370] = vX_[9110] * vX_[169];
+ vX_[6820] = vX_[6855] * vX_[167];
+ vX_[1424] = vX_[6866] + vX_[6842];
+ vX_[6843] = vX_[6843] * vX_[2015];
+ vX_[1148] = 0 - vX_[6867] - vX_[6843];
+ vX_[8432] = vX_[1424] * vX_[167] + vX_[1148] * vX_[169];
+ vX_[6833] = vX_[6843] * vX_[167];
+ vX_[6860] = vX_[6860] * vX_[2025] + vX_[6848] * vX_[2013];
+ vX_[6848] = 0 - vX_[6860];
+ vX_[6831] = 0 - vX_[6860];
+ vX_[1759] = vX_[6831] * vX_[169];
+ vX_[1377] = vX_[6860] * vX_[167];
+ vX_[1371] = vX_[6861] * vX_[1209] + vX_[7047] * vX_[1159] + vX_[7050] * vX_[1194];
+ vX_[1382] = 0 - vX_[1371];
+ vX_[1381] = vX_[6861] * vX_[1294] + vX_[7047] * vX_[1195] + vX_[7050] * vX_[1153];
+ vX_[7420] = vX_[1382] * x_in[18] + vX_[1381] * x_in[19];
+ vX_[7407] = 0 - vX_[7420];
+ vX_[915] = 0 - vX_[7420];
+ vX_[841] = vX_[915] * vX_[169];
+ vX_[7156] = vX_[7420] * vX_[167];
+ vX_[6861] = vX_[6861] * vX_[1192] + vX_[7047] * vX_[1210] + vX_[7050] * vX_[1295];
+ jac[1146] = vX_[1701] * vX_[1119] + vX_[1576] * vX_[797] + vX_[1628] * vX_[2026] + vX_[1406] * vX_[775] +
+ vX_[1891] + vX_[6861] * vX_[1214] + vX_[1371] * vX_[1165] + vX_[1381] * vX_[1198];
+ jac[1182] = vX_[9240] * vX_[1968] + vX_[1825] * vX_[1930] + vX_[6837] * vX_[1653] + vX_[6839] * vX_[2915] +
+ vX_[1415] + vX_[6861] * vX_[1225] + vX_[1371] * vX_[1176] + vX_[1381] * vX_[1199];
+ vX_[6837] = vX_[6861] * x_in[32];
+ vX_[6839] = vX_[6837] * vX_[169];
+ vX_[1415] = vX_[6837] * vX_[167];
+ vX_[9240] = vX_[6861] * x_in[31];
+ vX_[1825] = vX_[1371] * x_in[30];
+ vX_[1628] = 0 - vX_[1825];
+ vX_[1406] = vX_[9240] * vX_[169];
+ vX_[1891] = 0 - vX_[1825];
+ vX_[1701] = vX_[1891] * vX_[169];
+ vX_[1576] = vX_[9240] * vX_[167];
+ vX_[7050] = vX_[1825] * vX_[167];
+ vX_[7047] = vX_[6872] * vX_[1180];
+ vX_[2423] = 0 - vX_[7047];
+ vX_[4469] = 0 - vX_[7047];
+ vX_[4480] = vX_[4469] * vX_[169];
+ vX_[6592] = vX_[7047] * vX_[167];
+ vX_[6648] = 0 - vX_[6446];
+ vX_[4471] = 0 - vX_[2301];
+ vX_[1632] = 0 - vX_[1632] + vX_[9353];
+ vX_[9353] = 0 - vX_[9073];
+ vX_[1844] = 0 - vX_[1844];
+ vX_[6832] = vX_[6832] * vX_[2013];
+ vX_[5399] = vX_[6832] * vX_[167];
+ vX_[6834] = vX_[6834] * vX_[2013];
+ vX_[4319] = 0 - vX_[6834];
+ vX_[1432] = vX_[4319] * vX_[169];
+ vX_[6836] = vX_[6836] * vX_[2013];
+ vX_[6853] = vX_[6853] * vX_[2025];
+ vX_[6869] = vX_[6869] * vX_[2018];
+ vX_[4520] = vX_[6869] * vX_[169];
+ vX_[4522] = vX_[6869] * vX_[167];
+ vX_[4512] = 0 - vX_[4522];
+ vX_[6858] = vX_[6858] * vX_[1124];
+ vX_[7426] = vX_[6858] * vX_[167];
+ vX_[6870] = vX_[6870] * vX_[2018];
+ vX_[4495] = vX_[6870] * vX_[169];
+ vX_[4509] = vX_[6870] * vX_[167];
+ vX_[6859] = vX_[6859] * vX_[1124];
+ vX_[4503] = 0 - vX_[6859];
+ vX_[4505] = vX_[4503] * vX_[169];
+ vX_[9017] = vX_[6832] + vX_[6858];
+ vX_[6859] = vX_[6834] + vX_[6859];
+ vX_[6834] = vX_[9017] * vX_[169] + vX_[6859] * vX_[167];
+ vX_[6856] = vX_[6856] * vX_[2025] + vX_[6847] * vX_[2018];
+ vX_[6847] = 0 - vX_[6856];
+ vX_[7853] = 0 - vX_[6856];
+ vX_[9033] = vX_[7853] * vX_[169];
+ vX_[9019] = vX_[6856] * vX_[167];
+ vX_[1521] = 0 - vX_[1381];
+ vX_[1245] = vX_[6861] * x_in[18] + vX_[1521] * x_in[20];
+ vX_[1239] = 0 - vX_[1245];
+ vX_[1477] = vX_[1245] * vX_[167];
+ vX_[1511] = vX_[6861] * x_in[30];
+ vX_[1526] = vX_[1511] * vX_[167];
+ vX_[1149] = vX_[1371] * x_in[32];
+ vX_[9039] = vX_[1149] * vX_[169];
+ vX_[9022] = vX_[1149] * vX_[167];
+ vX_[1000] = vX_[1371] * x_in[31];
+ vX_[2507] = vX_[1511] * vX_[169];
+ vX_[339] = vX_[1000] * vX_[169];
+ vX_[1488] = vX_[1000] * vX_[167];
+ vX_[1535] = vX_[6872] * vX_[1246];
+ vX_[1241] = 0 - vX_[1535];
+ vX_[2058] = 0 - vX_[1245];
+ vX_[1609] = 0 - vX_[1535];
+ vX_[2042] = vX_[2058] * vX_[169] + vX_[1609] * vX_[169];
+ vX_[2066] = vX_[1535] * vX_[167];
+ jac[462] =
+ 0 -
+ (0 - (vX_[6692] * vX_[4013] + vX_[6714] * vX_[1621] + vX_[2745] * x_in[22]) +
+ (vX_[6692] * vX_[5604] + vX_[6706] * vX_[1621] + vX_[4333] * vX_[249] + vX_[2745] * x_in[20]) * 0.3735 -
+ (vX_[6694] * vX_[4885] + vX_[6716] * vX_[4058] + vX_[1792] * x_in[23]) +
+ (vX_[6694] * vX_[4518] + vX_[6701] * vX_[4058] + vX_[1792] * x_in[19]) * -0.3735 +
+ (vX_[6694] * vX_[4368] + vX_[6732] * vX_[4058] +
+ (vX_[3731] * vX_[530] + vX_[9073] * vX_[583] + vX_[1601] * vX_[262] + vX_[2299] * vX_[264] +
+ vX_[6446] * vX_[234] + vX_[2301] * vX_[243] + vX_[1640] * vX_[246] + vX_[1598] * vX_[263] +
+ vX_[4482] * vX_[252] + vX_[1397] * vX_[528] + vX_[9073] * vX_[580] + vX_[1390] * vX_[205] +
+ vX_[2054] * vX_[535]) *
+ -1 +
+ vX_[1792] * x_in[18]) *
+ -0.207 -
+ (vX_[6698] * vX_[4518] + vX_[6700] * vX_[5604] + vX_[6706] * vX_[1314] + vX_[6701] * vX_[1268] +
+ vX_[1866] * vX_[707] + vX_[9376] * vX_[705] + vX_[9094] * vX_[703] + vX_[1405] * vX_[588] +
+ vX_[1873] * vX_[252] + vX_[4121] * vX_[692] + vX_[1603] * vX_[161] + vX_[1396] * vX_[234] +
+ vX_[369] * vX_[671] + vX_[1306] * vX_[646] + vX_[2681] * vX_[270] + vX_[3532] * vX_[260] +
+ vX_[1562] * vX_[672] + vX_[1349] * vX_[649] + vX_[43] * vX_[647] + vX_[5104] * vX_[582] +
+ vX_[1363] * vX_[648] + vX_[1916] * vX_[645] + vX_[3116] * vX_[259] + vX_[2691] * vX_[269] +
+ vX_[8247] * vX_[589] + vX_[2731] * vX_[587] + vX_[2734] * vX_[585] + vX_[4941] * vX_[626] +
+ vX_[4917] * vX_[627] + vX_[8246] * vX_[536] + vX_[5177] * vX_[532] + vX_[1461] * vX_[584] +
+ vX_[4333] * vX_[250] + vX_[1385] * x_in[19] + vX_[691] * x_in[20]) +
+ vX_[6821] * vX_[2013] + vX_[6857] * vX_[1124] + vX_[1438] * vX_[166] + vX_[2709] * vX_[166] +
+ (0 - vX_[6868]) * 0.3735 + vX_[6868] * vX_[166] * -0.35 + vX_[1587] * 0.35 + vX_[1587] * vX_[186] * 0.08 +
+ vX_[1587] * vX_[166] * 0.3735 + vX_[4773] * vX_[186] * 0.3735 + vX_[1436] * vX_[186] * 0.207 +
+ vX_[919] * vX_[166] + vX_[9239] * vX_[186] * 0.3735 + vX_[2695] * 0.35 +
+ (vX_[4682] * vX_[166] + vX_[2695] * vX_[186]) * 0.08 + vX_[2695] * vX_[166] * 0.3735 +
+ (vX_[9105] * vX_[166] + vX_[1370] * vX_[186]) * 0.207 + vX_[6820] * vX_[166] * 0.207 +
+ vX_[8432] * vX_[186] + vX_[6833] * vX_[166] + (vX_[1581] * vX_[166] - vX_[6860]) * 0.08 +
+ vX_[6848] * vX_[186] * 0.35 + vX_[1759] * vX_[186] * 0.33 + vX_[1377] * vX_[166] * 0.33 +
+ (0 - vX_[7420]) * 0.08 + vX_[7407] * vX_[186] * 0.35 + vX_[841] * vX_[186] * 0.33 +
+ vX_[7156] * vX_[166] * 0.33 + vX_[6839] * vX_[166] * 0.33 + vX_[1415] * vX_[186] * 0.33 +
+ vX_[9240] * vX_[166] * 0.35 + (0 - vX_[1825]) * 0.08 + vX_[1628] * vX_[186] * 0.35 +
+ (vX_[1406] * vX_[166] + vX_[1701] * vX_[186]) * 0.33 +
+ (vX_[1576] * vX_[186] + vX_[7050] * vX_[166]) * 0.33 + (0 - vX_[7047]) * 0.08 +
+ vX_[2423] * vX_[186] * 0.35 + vX_[4480] * vX_[186] * 0.33 + vX_[6592] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[6692] * vX_[4885] + vX_[6698] * vX_[5604] + vX_[6716] * vX_[1621] + vX_[6706] * vX_[1268] +
+ vX_[1866] * vX_[703] + vX_[1405] * vX_[252] + vX_[1372] * vX_[161] + vX_[4121] * vX_[234] +
+ vX_[1306] * vX_[649] + vX_[2681] * vX_[260] + vX_[1562] * vX_[671] + vX_[43] * vX_[648] +
+ vX_[5104] * vX_[645] + vX_[3116] * vX_[269] + vX_[8247] * vX_[585] + vX_[4941] * vX_[627] +
+ vX_[987] * vX_[532] + vX_[8246] * vX_[584] +
+ (vX_[1944] * vX_[581] + vX_[9093] * vX_[214] + vX_[8997] * vX_[264] + vX_[1796] * vX_[238] +
+ vX_[4772] * vX_[253] + vX_[6648] * vX_[237] + vX_[6422] * vX_[246] + vX_[4471] * vX_[234] +
+ vX_[1357] * vX_[252] + vX_[1632] * vX_[263] + vX_[1944] * vX_[577] + vX_[9353] * vX_[527] +
+ vX_[8997] * vX_[268] + vX_[4772] * vX_[524]) *
+ 0.207 +
+ vX_[2745] * x_in[23] + vX_[1385] * x_in[20] +
+ (vX_[6692] * vX_[4518] + vX_[6701] * vX_[1621] + vX_[4333] * vX_[247] + vX_[2745] * x_in[19]) * 0.3735 +
+ (vX_[6692] * vX_[4368] + vX_[6732] * vX_[1621] + vX_[2745] * x_in[18]) * 0.207 -
+ (vX_[6694] * vX_[4013] + vX_[6714] * vX_[4058] + vX_[1792] * x_in[22]) +
+ (vX_[6694] * vX_[5604] + vX_[6706] * vX_[4058] + vX_[1792] * x_in[20]) * 0.3735 -
+ (vX_[6700] * vX_[4518] + vX_[6701] * vX_[1314] + vX_[9376] * vX_[704] + vX_[9094] * vX_[707] +
+ vX_[1844] * vX_[588] + vX_[1603] * vX_[234] + vX_[1429] * vX_[692] + vX_[369] * vX_[672] +
+ vX_[3532] * vX_[270] + vX_[1349] * vX_[646] + vX_[1363] * vX_[647] + vX_[1916] * vX_[582] +
+ vX_[2691] * vX_[259] + vX_[2731] * vX_[586] + vX_[2734] * vX_[589] + vX_[47] * vX_[626] +
+ vX_[5177] * vX_[584] + vX_[3960] * vX_[536] + vX_[4333] * vX_[248] + vX_[691] * x_in[19]) -
+ vX_[6865] * vX_[2018] + vX_[5399] * vX_[186] + vX_[1432] * vX_[186] + (0 - vX_[6836]) * 0.3735 +
+ vX_[6836] * vX_[166] * -0.35 + (0 - vX_[6853]) * 0.207 - vX_[6841] * vX_[2015] + (0 - vX_[4520]) * 0.35 +
+ (0 - vX_[4520] * vX_[186]) * 0.08 + vX_[4520] * vX_[166] * -0.3735 + vX_[4512] * vX_[186] * 0.3735 +
+ vX_[4522] * vX_[166] * 0.08 + vX_[7426] * vX_[186] + vX_[4495] * vX_[186] * 0.3735 +
+ (0 - vX_[4495] * vX_[166]) * 0.08 + (0 - vX_[4509]) * 0.35 + (0 - vX_[4509] * vX_[186]) * 0.08 +
+ vX_[4509] * vX_[166] * -0.3735 + vX_[4505] * vX_[186] + vX_[6834] * vX_[166] + vX_[6847] * vX_[186] * 0.35 +
+ vX_[9033] * vX_[186] * 0.33 + vX_[9019] * vX_[166] * 0.33 + (0 - vX_[1245]) * 0.08 +
+ vX_[1239] * vX_[186] * 0.35 + vX_[1477] * vX_[166] * 0.33 + (0 - vX_[6856] + vX_[1511]) * 0.08 +
+ vX_[1511] * vX_[186] * 0.35 + vX_[1526] * vX_[166] * -0.33 + vX_[9039] * vX_[166] * 0.33 +
+ vX_[9022] * vX_[186] * 0.33 + vX_[1000] * vX_[166] * 0.35 +
+ (vX_[2507] * vX_[186] + vX_[339] * vX_[166]) * 0.33 + vX_[1488] * vX_[186] * 0.33 + (0 - vX_[1535]) * 0.08 +
+ vX_[1241] * vX_[186] * 0.35 + vX_[2042] * vX_[186] * 0.33 + vX_[2066] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[9094] = vX_[7260] * 0.881 + (0 - vX_[7262]) * -0.000881;
+ vX_[9376] = vX_[7258] * -0.881;
+ vX_[1866] = vX_[7262] * 0.110125;
+ vX_[1796] = vX_[9376] - vX_[1866];
+ vX_[1601] = vX_[9094] * vX_[2915] + vX_[1796] * vX_[963];
+ vX_[4333] = vX_[7250] * 3.146 + (0 - vX_[7251]) * 0.0825825;
+ vX_[9093] = vX_[7249] * -3.146;
+ vX_[4917] = vX_[7251] * 0.47422804;
+ vX_[1363] = vX_[9093] - vX_[4917];
+ vX_[43] = vX_[1601] + vX_[4333] * vX_[775] + vX_[1363] * vX_[1018];
+ vX_[3731] = vX_[7238] * 3.44 + vX_[7241] * -0.5824264;
+ vX_[47] = 0 - vX_[3731];
+ vX_[4941] = vX_[7232] * 3.44 + (0 - vX_[7241]) * 0.1466472;
+ vX_[1916] = vX_[7121] + vX_[7232] * vX_[252] + vX_[7204] * vX_[234] + vX_[7238] * vX_[243] + vX_[7241] * vX_[528] +
+ vX_[7243] * vX_[580];
+ vX_[1349] = vX_[43] * -1 + vX_[47] * vX_[4087] + vX_[4941] * vX_[3807] + vX_[1916] * x_in[30];
+ vX_[1306] = vX_[6724] - vX_[7153];
+ vX_[5104] = vX_[7132] + vX_[6602];
+ vX_[1562] = vX_[1306] * vX_[249] + vX_[5104] * vX_[247];
+ vX_[369] = vX_[5371] - vX_[7153];
+ vX_[2299] = vX_[369] * vX_[249];
+ vX_[2691] = vX_[1306] * vX_[235] + vX_[5104] * vX_[249];
+ vX_[2681] = vX_[369] * vX_[247];
+ vX_[3116] = vX_[2691] + vX_[2681];
+ vX_[3532] = vX_[1562] * vX_[235] + vX_[2299] * vX_[247] + vX_[3116] * vX_[249];
+ vX_[1461] = 0 - vX_[3532];
+ vX_[3960] = vX_[7153] + vX_[2691] * vX_[235] + vX_[2299] * vX_[249];
+ vX_[987] = 0 - vX_[3960];
+ vX_[5177] = vX_[7153] + vX_[1562] * vX_[249] + vX_[2681] * vX_[247];
+ vX_[2731] = vX_[5382] + vX_[5350];
+ vX_[8246] = vX_[7135] + vX_[7146] - vX_[2731];
+ vX_[2734] = vX_[5392] + vX_[5353];
+ vX_[8247] = 0 - (vX_[7136] + vX_[7147]) + vX_[2734];
+ vX_[6865] = (vX_[2734] * vX_[235] + vX_[2731] * vX_[249]) * -1;
+ vX_[6857] = 0 - (vX_[8246] * vX_[249] + vX_[8247] * vX_[247]) + vX_[6865];
+ vX_[6841] = vX_[6857] + vX_[3960] * vX_[236];
+ vX_[6821] = 0 - vX_[6841];
+ vX_[6700] = (vX_[2734] * vX_[249] + vX_[2731] * vX_[247]) * -1;
+ vX_[6698] = vX_[8246] * vX_[235] + vX_[8247] * vX_[249] + vX_[6700];
+ vX_[6694] = 0 - vX_[5177];
+ vX_[6692] = vX_[6698] + vX_[3532] * vX_[236] + vX_[6694] * vX_[165];
+ vX_[9025] = vX_[7139] + vX_[6619];
+ vX_[1465] = vX_[7134] + vX_[6604];
+ vX_[1342] = vX_[9025] * vX_[247] + vX_[1465] * vX_[249];
+ vX_[1505] = vX_[7129] + vX_[7149];
+ vX_[1309] = vX_[7138] + vX_[6600];
+ vX_[1618] = vX_[1505] * vX_[249] + vX_[1309] * vX_[247];
+ vX_[9034] = vX_[1342] * vX_[235] + vX_[1618] * vX_[249];
+ vX_[2080] = vX_[7112] + vX_[6987];
+ vX_[474] = vX_[5359] + vX_[5361];
+ vX_[2427] = 0 - vX_[474];
+ vX_[2075] = vX_[2080] * vX_[249] + vX_[2427] * vX_[247];
+ vX_[345] = 0 - vX_[2075];
+ vX_[633] = vX_[9034] + vX_[345] * vX_[165] + vX_[987] * vX_[251];
+ vX_[2071] = 0 - vX_[633];
+ vX_[1388] = vX_[9025] * vX_[249] + vX_[1465] * vX_[235];
+ vX_[9021] = vX_[1505] * vX_[235] + vX_[1309] * vX_[249];
+ vX_[2087] = vX_[1388] * vX_[249] + vX_[9021] * vX_[247];
+ vX_[474] = 0 - vX_[474];
+ vX_[539] = vX_[2080] * vX_[235] + vX_[474] * vX_[249];
+ vX_[8640] = 0 - vX_[539];
+ vX_[7839] = vX_[2087] + vX_[8640] * vX_[236] + vX_[5177] * vX_[251];
+ vX_[923] = vX_[1388] * vX_[235] + vX_[9021] * vX_[249];
+ vX_[1155] = vX_[923] + vX_[2075] * vX_[236];
+ vX_[1550] = vX_[1342] * vX_[249] + vX_[1618] * vX_[247];
+ vX_[1240] = vX_[1550] + vX_[539] * vX_[165] + vX_[1461] * vX_[251];
+ vX_[1767] = 0 - vX_[1155] + vX_[1240];
+ vX_[9003] = 0 - vX_[3532];
+ vX_[1344] = 0 - vX_[3960];
+ vX_[987] = vX_[1461] * vX_[583] + vX_[987] * vX_[530] + vX_[5177] * vX_[214] + vX_[6821] * vX_[252] +
+ vX_[6692] * vX_[263] + vX_[2071] * vX_[243] + vX_[7839] * vX_[237] + vX_[1767] * vX_[234] +
+ vX_[9003] * vX_[580] + vX_[3532] * vX_[577] + vX_[1344] * vX_[529] + vX_[5177] * vX_[533];
+ vX_[1461] = 0 - vX_[9094];
+ vX_[8972] = vX_[7247] * 0.881 + (0 - vX_[7264]) * 0.110125 + vX_[7266] * -0.000881;
+ vX_[1352] = vX_[7258] * -0.00370574557885489 + vX_[7260] * 0.880970354035369;
+ vX_[8999] = vX_[1461] * vX_[789] + vX_[8972] * vX_[963] + vX_[1352] * x_in[32];
+ vX_[1866] = 0 - vX_[9376] + vX_[1866];
+ vX_[9376] = 0 - vX_[8972];
+ vX_[1645] = vX_[7258] * 0.417781802643138 + vX_[7260] * -0.00370574557885489;
+ vX_[1644] = vX_[1866] * vX_[789] + vX_[9376] * vX_[2915] - vX_[1645] * x_in[32];
+ vX_[1642] = 0 - vX_[4333];
+ vX_[1641] = vX_[7245] * 3.146 + (0 - vX_[7246]) * 0.47422804 + vX_[7256] * 0.0825825;
+ vX_[1637] = vX_[7119] + vX_[7249] * vX_[211] + vX_[7250] * vX_[210] + vX_[7246] * vX_[187] + vX_[7256] * vX_[185];
+ vX_[1636] = vX_[8999] * vX_[169] + vX_[1644] * vX_[167] + vX_[1642] * vX_[816] + vX_[1641] * vX_[1018] +
+ vX_[1637] * x_in[31];
+ vX_[4917] = 0 - vX_[9093] + vX_[4917];
+ vX_[9093] = 0 - vX_[1641];
+ vX_[1634] = vX_[7117] + vX_[7249] * vX_[209] + vX_[7250] * vX_[211] + vX_[7246] * vX_[193] + vX_[7256] * vX_[192];
+ vX_[1633] = vX_[8999] * vX_[1069] + vX_[1644] * vX_[169] + vX_[4917] * vX_[816] + vX_[9093] * vX_[775] -
+ vX_[1634] * x_in[31];
+ vX_[1630] = vX_[7204] * -3.44;
+ vX_[1599] = vX_[7228] * 0.1466472;
+ vX_[1595] = vX_[7243] * -0.5824264;
+ vX_[1593] = 0 - vX_[1630] + vX_[1599] - vX_[1595];
+ vX_[1588] = 0 - vX_[4941];
+ vX_[1584] = vX_[7115] + vX_[7232] * vX_[263] + vX_[7204] * vX_[237] + vX_[7238] * vX_[234] + vX_[7241] * vX_[577] +
+ vX_[7243] * vX_[527];
+ vX_[1582] = vX_[1636] * vX_[1065] + vX_[1633] * vX_[186] + vX_[1593] * vX_[4087] + vX_[1588] * vX_[824] -
+ vX_[1584] * x_in[30];
+ vX_[1568] = vX_[6724] + vX_[5371] + vX_[7153] - vX_[3960] - vX_[5177];
+ vX_[1566] = 0 - vX_[1568];
+ vX_[6865] = vX_[6865] + vX_[1566] * vX_[236];
+ vX_[6700] = vX_[6700] + vX_[1568] * vX_[165];
+ vX_[1564] = 0 - vX_[6692];
+ vX_[1559] = 0 - vX_[7839];
+ vX_[1557] = vX_[5363] + vX_[5367] + vX_[1465] + vX_[1309] - vX_[923] - vX_[1550];
+ vX_[1240] = vX_[1557] - vX_[1240];
+ vX_[1533] = 0 - vX_[2075];
+ vX_[1531] = 0 - vX_[3532];
+ vX_[1529] = 0 - vX_[5177];
+ vX_[1525] = vX_[6531] - vX_[7148];
+ vX_[1523] = vX_[6717] - vX_[7148];
+ vX_[1516] = vX_[7142] + vX_[6606];
+ vX_[1514] = vX_[7140] + vX_[7928];
+ vX_[1512] = vX_[7137] + vX_[7900];
+ vX_[1497] = 0 - vX_[1512];
+ vX_[1495] = vX_[1525] * vX_[249] + vX_[1516] * vX_[247];
+ vX_[1493] = vX_[1523] * vX_[249];
+ vX_[1486] = vX_[1525] * vX_[235] + vX_[1516] * vX_[249];
+ vX_[1484] = vX_[1523] * vX_[247];
+ vX_[1482] = vX_[1486] + vX_[1484];
+ vX_[1480] = vX_[7247] * -0.000881 + vX_[7266] * -0.000227999999999999;
+ vX_[1478] = vX_[7247] * 0.110125 + (0 - vX_[7264]) * 0.025713;
+ vX_[1476] = (0 - vX_[7258]) * -0.000881;
+ vX_[1474] = (0 - vX_[7260]) * 0.110125;
+ vX_[1473] = vX_[1476] + vX_[1474];
+ vX_[1473] = vX_[1461] * vX_[1930] + vX_[1866] * vX_[2925] + vX_[1480] * vX_[2915] + vX_[1478] * vX_[963] +
+ vX_[1473] * vX_[789] + vX_[1473] * vX_[789];
+ vX_[1866] = vX_[7245] * 0.0825825 + (0 - vX_[7251]) * -0.000102 + vX_[7246] * -0.007418 + vX_[7256] * 0.002735;
+ vX_[1461] = vX_[7245] * 0.47422804 + vX_[7251] * 2.1e-05 + (0 - vX_[7246]) * 0.084376 + (0 - vX_[7256]) * -0.007418;
+ vX_[1471] = (0 - vX_[7249]) * 0.0825825;
+ vX_[1448] = (0 - vX_[7250]) * 0.47422804;
+ vX_[1446] = vX_[7246] * -0.000102;
+ vX_[1444] = (0 - vX_[7256]) * 2.1e-05;
+ vX_[1420] = vX_[1471] + vX_[1448] + vX_[1446] + vX_[1444];
+ vX_[1420] = vX_[1473] + vX_[8999] * vX_[1077] + vX_[1644] * vX_[168] + vX_[1642] * vX_[797] +
+ vX_[4917] * vX_[2924] + vX_[1866] * vX_[775] + vX_[1461] * vX_[1018] + vX_[1420] * vX_[816] +
+ vX_[1420] * vX_[816];
+ vX_[4917] = vX_[7204] * -0.5824264 + (0 - vX_[7228]) * 0.022734 + vX_[7241] * 3.6e-05 + vX_[7243] * -0.133138;
+ vX_[1642] = vX_[7204] * 0.1466472 + vX_[7228] * 0.009466 + (0 - vX_[7241]) * -5.1e-05 + vX_[7243] * 0.022734;
+ vX_[1419] = (0 - vX_[7232]) * -0.5824264;
+ vX_[1417] = (0 - vX_[7238]) * 0.1466472;
+ vX_[1416] = (0 - vX_[7228]) * 3.6e-05;
+ vX_[1411] = (0 - vX_[7243]) * -5.1e-05;
+ vX_[1410] = vX_[1419] + vX_[1417] + vX_[1416] - vX_[1411];
+ vX_[1408] = vX_[7127] + vX_[7232] * vX_[268] + vX_[7204] * vX_[527] + vX_[7238] * vX_[580] + vX_[7241] * vX_[579] +
+ vX_[7243] * vX_[231];
+ vX_[1410] = vX_[1636] * vX_[1066] + vX_[1633] * vX_[201] + vX_[1420] * -1 + vX_[3731] * vX_[3339] +
+ vX_[1588] * vX_[806] + vX_[4917] * vX_[4087] + vX_[1642] * vX_[3807] + vX_[1410] * vX_[824] +
+ vX_[1410] * vX_[824] + vX_[1408] * x_in[30];
+ vX_[7262] = vX_[7258] * 0.110125 + vX_[7260] * -0.000881 + vX_[7262] * 0.025941;
+ vX_[7266] = vX_[7247] * -0.000881 + vX_[7266] * 0.000468;
+ vX_[1474] = vX_[9094] * vX_[812] + vX_[9376] * vX_[2925] + vX_[1480] * vX_[789] + vX_[7262] * vX_[963] +
+ vX_[1474] * vX_[2915] + vX_[1474] * vX_[2915] + vX_[7266] * x_in[32];
+ vX_[7264] = vX_[7247] * -0.110125 + vX_[7264] * 0.026409;
+ vX_[7262] = vX_[1796] * vX_[812] + vX_[8972] * vX_[1930] + vX_[1478] * vX_[789] + vX_[7262] * vX_[2915] +
+ vX_[1476] * vX_[963] + vX_[1476] * vX_[963] - vX_[7264] * x_in[32];
+ vX_[1476] = vX_[7249] * 0.47422804 + vX_[7250] * 0.0825825 + vX_[7251] * 0.081641 + (0 - vX_[7246]) * 2.1e-05 +
+ vX_[7256] * -0.000102;
+ vX_[1478] = (0 - vX_[7251]) * -0.007418;
+ vX_[1444] = vX_[1448] + vX_[1478] - vX_[1444];
+ vX_[1448] = vX_[7111] + vX_[7245] * vX_[180] + vX_[7249] * vX_[192] + vX_[7250] * vX_[185] + vX_[7246] * vX_[226] +
+ vX_[7256] * vX_[222];
+ vX_[1444] = vX_[1601] * -0.35 + vX_[1474] * vX_[169] + vX_[7262] * vX_[167] + vX_[4333] * vX_[968] +
+ vX_[9093] * vX_[2924] + vX_[1866] * vX_[816] + vX_[1476] * vX_[1018] + vX_[1444] * vX_[775] +
+ vX_[1444] * vX_[775] + vX_[1448] * x_in[31];
+ vX_[1478] = vX_[1471] - vX_[1478] - vX_[1446];
+ vX_[1446] = vX_[7110] + vX_[7245] * vX_[189] + vX_[7249] * vX_[193] + vX_[7250] * vX_[187] + vX_[7246] * vX_[220] +
+ vX_[7256] * vX_[226];
+ vX_[1478] = vX_[1474] * vX_[175] + vX_[7262] * vX_[169] + vX_[1363] * vX_[968] + vX_[1641] * vX_[797] +
+ vX_[1461] * vX_[816] + vX_[1476] * vX_[775] + vX_[1478] * vX_[1018] + vX_[1478] * vX_[1018] -
+ vX_[1446] * x_in[31];
+ vX_[1595] = vX_[1630] - vX_[1599] + vX_[1595];
+ vX_[1599] = vX_[7232] * 0.1466472 + vX_[7238] * -0.5824264 + vX_[7228] * -5.1e-05 + (0 - vX_[7241]) * -0.123672 +
+ (0 - vX_[7243]) * 3.6e-05;
+ vX_[1630] = vX_[7241] * 0.022734;
+ vX_[1416] = vX_[1419] - vX_[1416] - vX_[1630];
+ vX_[1419] = vX_[7125] + vX_[7232] * vX_[205] + vX_[7204] * vX_[577] + vX_[7238] * vX_[528] + vX_[7241] * vX_[526] +
+ vX_[7243] * vX_[579];
+ vX_[1416] = vX_[1444] * vX_[195] + vX_[1478] * vX_[186] + vX_[1595] * vX_[3339] + vX_[4941] * vX_[3838] +
+ vX_[1599] * vX_[4087] + vX_[1642] * vX_[824] + vX_[1416] * vX_[3807] + vX_[1416] * vX_[3807] -
+ vX_[1419] * x_in[30];
+ vX_[7293] = vX_[7293] * vX_[2018];
+ vX_[1642] = vX_[7293] * vX_[169];
+ vX_[7294] = vX_[7294] * vX_[2018];
+ vX_[4941] = vX_[7294] * vX_[167];
+ vX_[7295] = vX_[7295] * vX_[2018];
+ vX_[7265] = vX_[7265] * vX_[2013];
+ vX_[1476] = vX_[7265] * vX_[169];
+ vX_[1461] = vX_[7265] * vX_[167];
+ vX_[7281] = vX_[7281] * vX_[2025];
+ vX_[1641] = vX_[7281] * vX_[167];
+ vX_[7269] = vX_[7269] * vX_[2015];
+ vX_[1363] = vX_[7269] * vX_[169];
+ vX_[7267] = vX_[7267] * vX_[2013];
+ vX_[1471] = vX_[7267] * vX_[169];
+ vX_[1866] = 0 - vX_[1471];
+ vX_[9093] = vX_[7267] * vX_[167];
+ vX_[4333] = 0 - vX_[1461];
+ vX_[1601] = vX_[7281] * vX_[169];
+ vX_[7282] = vX_[7282] * vX_[2025];
+ vX_[8972] = 0 - vX_[7282];
+ vX_[1796] = vX_[8972] * vX_[169];
+ vX_[7247] = vX_[7282] * vX_[167];
+ vX_[1480] = vX_[7293] + vX_[7269];
+ vX_[7270] = vX_[7270] * vX_[2015];
+ vX_[9376] = 0 - vX_[7294] - vX_[7270];
+ vX_[9094] = vX_[1480] * vX_[167] + vX_[9376] * vX_[169];
+ vX_[7260] = vX_[7270] * vX_[167];
+ vX_[7287] = vX_[7287] * vX_[2025] + vX_[7275] * vX_[2013];
+ vX_[7275] = 0 - vX_[7287];
+ vX_[7258] = 0 - vX_[7287];
+ vX_[1588] = vX_[7258] * vX_[169];
+ vX_[1407] = vX_[7287] * vX_[167];
+ vX_[1403] = vX_[7288] * vX_[1209] + vX_[7474] * vX_[1159] + vX_[7477] * vX_[1194];
+ vX_[1391] = 0 - vX_[1403];
+ vX_[592] = vX_[7288] * vX_[1294] + vX_[7474] * vX_[1195] + vX_[7477] * vX_[1153];
+ vX_[374] = vX_[1391] * x_in[18] + vX_[592] * x_in[19];
+ vX_[384] = 0 - vX_[374];
+ vX_[383] = 0 - vX_[374];
+ vX_[375] = vX_[383] * vX_[169];
+ vX_[373] = vX_[374] * vX_[167];
+ vX_[7288] = vX_[7288] * vX_[1192] + vX_[7474] * vX_[1210] + vX_[7477] * vX_[1295];
+ jac[1147] = vX_[1634] * vX_[1119] + vX_[1637] * vX_[797] + vX_[1446] * vX_[2026] + vX_[1448] * vX_[775] +
+ vX_[1420] + vX_[7288] * vX_[1214] + vX_[1403] * vX_[1165] + vX_[592] * vX_[1198];
+ jac[1183] = vX_[1645] * vX_[1968] + vX_[1352] * vX_[1930] + vX_[7264] * vX_[1653] + vX_[7266] * vX_[2915] +
+ vX_[1473] + vX_[7288] * vX_[1225] + vX_[1403] * vX_[1176] + vX_[592] * vX_[1199];
+ vX_[7264] = vX_[7288] * x_in[32];
+ vX_[7266] = vX_[7264] * vX_[169];
+ vX_[1473] = vX_[7264] * vX_[167];
+ vX_[1645] = vX_[7288] * x_in[31];
+ vX_[1352] = vX_[1403] * x_in[30];
+ vX_[1446] = 0 - vX_[1352];
+ vX_[1448] = vX_[1645] * vX_[169];
+ vX_[1420] = 0 - vX_[1352];
+ vX_[1634] = vX_[1420] * vX_[169];
+ vX_[1637] = vX_[1645] * vX_[167];
+ vX_[7477] = vX_[1352] * vX_[167];
+ vX_[7474] = vX_[7299] * vX_[1180];
+ vX_[372] = 0 - vX_[7474];
+ vX_[319] = 0 - vX_[7474];
+ vX_[361] = vX_[319] * vX_[169];
+ vX_[360] = vX_[7474] * vX_[167];
+ vX_[359] = 0 - vX_[6865];
+ vX_[358] = 0 - vX_[6700];
+ vX_[1557] = 0 - vX_[1557] + vX_[1155];
+ vX_[1155] = 0 - vX_[539];
+ vX_[1512] = 0 - vX_[1512];
+ vX_[7259] = vX_[7259] * vX_[2013];
+ vX_[349] = vX_[7259] * vX_[167];
+ vX_[7261] = vX_[7261] * vX_[2013];
+ vX_[299] = 0 - vX_[7261];
+ vX_[348] = vX_[299] * vX_[169];
+ vX_[7263] = vX_[7263] * vX_[2013];
+ vX_[7280] = vX_[7280] * vX_[2025];
+ vX_[7296] = vX_[7296] * vX_[2018];
+ vX_[347] = vX_[7296] * vX_[169];
+ vX_[346] = vX_[7296] * vX_[167];
+ vX_[343] = 0 - vX_[346];
+ vX_[7285] = vX_[7285] * vX_[1124];
+ vX_[342] = vX_[7285] * vX_[167];
+ vX_[7297] = vX_[7297] * vX_[2018];
+ vX_[332] = vX_[7297] * vX_[169];
+ vX_[328] = vX_[7297] * vX_[167];
+ vX_[7286] = vX_[7286] * vX_[1124];
+ vX_[331] = 0 - vX_[7286];
+ vX_[330] = vX_[331] * vX_[169];
+ vX_[329] = vX_[7259] + vX_[7285];
+ vX_[7286] = vX_[7261] + vX_[7286];
+ vX_[7261] = vX_[329] * vX_[169] + vX_[7286] * vX_[167];
+ vX_[7283] = vX_[7283] * vX_[2025] + vX_[7274] * vX_[2018];
+ vX_[7274] = 0 - vX_[7283];
+ vX_[323] = 0 - vX_[7283];
+ vX_[297] = vX_[323] * vX_[169];
+ vX_[322] = vX_[7283] * vX_[167];
+ vX_[320] = 0 - vX_[592];
+ vX_[310] = vX_[7288] * x_in[18] + vX_[320] * x_in[20];
+ vX_[318] = 0 - vX_[310];
+ vX_[315] = vX_[310] * vX_[167];
+ vX_[314] = vX_[7288] * x_in[30];
+ vX_[313] = vX_[314] * vX_[167];
+ vX_[309] = vX_[1403] * x_in[32];
+ vX_[308] = vX_[309] * vX_[169];
+ vX_[302] = vX_[309] * vX_[167];
+ vX_[352] = vX_[1403] * x_in[31];
+ vX_[5252] = vX_[314] * vX_[169];
+ vX_[385] = vX_[352] * vX_[169];
+ vX_[376] = vX_[352] * vX_[167];
+ vX_[363] = vX_[7299] * vX_[1246];
+ vX_[351] = 0 - vX_[363];
+ vX_[325] = 0 - vX_[310];
+ vX_[316] = 0 - vX_[363];
+ vX_[355] = vX_[325] * vX_[169] + vX_[316] * vX_[169];
+ vX_[4907] = vX_[363] * vX_[167];
+ jac[463] =
+ 0 -
+ (0 - (vX_[7115] * vX_[4013] + vX_[7141] * vX_[1621] + vX_[1349] * x_in[22]) +
+ (vX_[7115] * vX_[5604] + vX_[7133] * vX_[1621] + vX_[987] * vX_[249] + vX_[1349] * x_in[20]) * 0.3735 -
+ (vX_[7121] * vX_[4885] + vX_[7143] * vX_[4058] + vX_[1582] * x_in[23]) +
+ (vX_[7121] * vX_[4518] + vX_[7128] * vX_[4058] + vX_[1582] * x_in[19]) * -0.3735 +
+ (vX_[7121] * vX_[4368] + vX_[7159] * vX_[4058] +
+ (vX_[345] * vX_[530] + vX_[539] * vX_[583] + vX_[1568] * vX_[262] + vX_[6694] * vX_[264] +
+ vX_[6865] * vX_[234] + vX_[6700] * vX_[243] + vX_[1564] * vX_[246] + vX_[1559] * vX_[263] +
+ vX_[1240] * vX_[252] + vX_[1533] * vX_[528] + vX_[539] * vX_[580] + vX_[1531] * vX_[205] +
+ vX_[1529] * vX_[535]) *
+ -1 +
+ vX_[1582] * x_in[18]) *
+ -0.207 -
+ (vX_[7125] * vX_[4518] + vX_[7127] * vX_[5604] + vX_[7133] * vX_[1314] + vX_[7128] * vX_[1268] +
+ vX_[1525] * vX_[707] + vX_[1523] * vX_[705] + vX_[1516] * vX_[703] + vX_[1514] * vX_[588] +
+ vX_[1497] * vX_[252] + vX_[1495] * vX_[692] + vX_[1493] * vX_[161] + vX_[1482] * vX_[234] +
+ vX_[9025] * vX_[671] + vX_[1505] * vX_[646] + vX_[2734] * vX_[270] + vX_[2731] * vX_[260] +
+ vX_[1465] * vX_[672] + vX_[1309] * vX_[649] + vX_[1388] * vX_[647] + vX_[1342] * vX_[582] +
+ vX_[9021] * vX_[648] + vX_[1618] * vX_[645] + vX_[8246] * vX_[259] + vX_[8247] * vX_[269] +
+ vX_[1306] * vX_[589] + vX_[369] * vX_[587] + vX_[5104] * vX_[585] + vX_[2080] * vX_[626] +
+ vX_[474] * vX_[627] + vX_[1562] * vX_[536] + vX_[2299] * vX_[532] + vX_[3116] * vX_[584] +
+ vX_[987] * vX_[250] + vX_[1410] * x_in[19] + vX_[1416] * x_in[20]) +
+ vX_[7248] * vX_[2013] + vX_[7284] * vX_[1124] + vX_[1642] * vX_[166] + vX_[4941] * vX_[166] +
+ (0 - vX_[7295]) * 0.3735 + vX_[7295] * vX_[166] * -0.35 + vX_[1476] * 0.35 + vX_[1476] * vX_[186] * 0.08 +
+ vX_[1476] * vX_[166] * 0.3735 + vX_[1461] * vX_[186] * 0.3735 + vX_[1641] * vX_[186] * 0.207 +
+ vX_[1363] * vX_[166] + vX_[1866] * vX_[186] * 0.3735 + vX_[9093] * 0.35 +
+ (vX_[4333] * vX_[166] + vX_[9093] * vX_[186]) * 0.08 + vX_[9093] * vX_[166] * 0.3735 +
+ (vX_[1601] * vX_[166] + vX_[1796] * vX_[186]) * 0.207 + vX_[7247] * vX_[166] * 0.207 +
+ vX_[9094] * vX_[186] + vX_[7260] * vX_[166] + (vX_[1471] * vX_[166] - vX_[7287]) * 0.08 +
+ vX_[7275] * vX_[186] * 0.35 + vX_[1588] * vX_[186] * 0.33 + vX_[1407] * vX_[166] * 0.33 +
+ (0 - vX_[374]) * 0.08 + vX_[384] * vX_[186] * 0.35 + vX_[375] * vX_[186] * 0.33 +
+ vX_[373] * vX_[166] * 0.33 + vX_[7266] * vX_[166] * 0.33 + vX_[1473] * vX_[186] * 0.33 +
+ vX_[1645] * vX_[166] * 0.35 + (0 - vX_[1352]) * 0.08 + vX_[1446] * vX_[186] * 0.35 +
+ (vX_[1448] * vX_[166] + vX_[1634] * vX_[186]) * 0.33 +
+ (vX_[1637] * vX_[186] + vX_[7477] * vX_[166]) * 0.33 + (0 - vX_[7474]) * 0.08 + vX_[372] * vX_[186] * 0.35 +
+ vX_[361] * vX_[186] * 0.33 + vX_[360] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[7115] * vX_[4885] + vX_[7125] * vX_[5604] + vX_[7143] * vX_[1621] + vX_[7133] * vX_[1268] +
+ vX_[1525] * vX_[703] + vX_[1514] * vX_[252] + vX_[1486] * vX_[161] + vX_[1495] * vX_[234] +
+ vX_[1505] * vX_[649] + vX_[2734] * vX_[260] + vX_[1465] * vX_[671] + vX_[1388] * vX_[648] +
+ vX_[1342] * vX_[645] + vX_[8246] * vX_[269] + vX_[1306] * vX_[585] + vX_[2080] * vX_[627] +
+ vX_[2691] * vX_[532] + vX_[1562] * vX_[584] +
+ (vX_[2075] * vX_[581] + vX_[8640] * vX_[214] + vX_[3532] * vX_[264] + vX_[1566] * vX_[238] +
+ vX_[3960] * vX_[253] + vX_[359] * vX_[237] + vX_[6841] * vX_[246] + vX_[358] * vX_[234] +
+ vX_[633] * vX_[252] + vX_[1557] * vX_[263] + vX_[2075] * vX_[577] + vX_[1155] * vX_[527] +
+ vX_[3532] * vX_[268] + vX_[3960] * vX_[524]) *
+ 0.207 +
+ vX_[1349] * x_in[23] + vX_[1410] * x_in[20] +
+ (vX_[7115] * vX_[4518] + vX_[7128] * vX_[1621] + vX_[987] * vX_[247] + vX_[1349] * x_in[19]) * 0.3735 +
+ (vX_[7115] * vX_[4368] + vX_[7159] * vX_[1621] + vX_[1349] * x_in[18]) * 0.207 -
+ (vX_[7121] * vX_[4013] + vX_[7141] * vX_[4058] + vX_[1582] * x_in[22]) +
+ (vX_[7121] * vX_[5604] + vX_[7133] * vX_[4058] + vX_[1582] * x_in[20]) * 0.3735 -
+ (vX_[7127] * vX_[4518] + vX_[7128] * vX_[1314] + vX_[1523] * vX_[704] + vX_[1516] * vX_[707] +
+ vX_[1512] * vX_[588] + vX_[1493] * vX_[234] + vX_[1484] * vX_[692] + vX_[9025] * vX_[672] +
+ vX_[2731] * vX_[270] + vX_[1309] * vX_[646] + vX_[9021] * vX_[647] + vX_[1618] * vX_[582] +
+ vX_[8247] * vX_[259] + vX_[369] * vX_[586] + vX_[5104] * vX_[589] + vX_[2427] * vX_[626] +
+ vX_[2299] * vX_[584] + vX_[2681] * vX_[536] + vX_[987] * vX_[248] + vX_[1416] * x_in[19]) -
+ vX_[7292] * vX_[2018] + vX_[349] * vX_[186] + vX_[348] * vX_[186] + (0 - vX_[7263]) * 0.3735 +
+ vX_[7263] * vX_[166] * -0.35 + (0 - vX_[7280]) * 0.207 - vX_[7268] * vX_[2015] + (0 - vX_[347]) * 0.35 +
+ (0 - vX_[347] * vX_[186]) * 0.08 + vX_[347] * vX_[166] * -0.3735 + vX_[343] * vX_[186] * 0.3735 +
+ vX_[346] * vX_[166] * 0.08 + vX_[342] * vX_[186] + vX_[332] * vX_[186] * 0.3735 +
+ (0 - vX_[332] * vX_[166]) * 0.08 + (0 - vX_[328]) * 0.35 + (0 - vX_[328] * vX_[186]) * 0.08 +
+ vX_[328] * vX_[166] * -0.3735 + vX_[330] * vX_[186] + vX_[7261] * vX_[166] + vX_[7274] * vX_[186] * 0.35 +
+ vX_[297] * vX_[186] * 0.33 + vX_[322] * vX_[166] * 0.33 + (0 - vX_[310]) * 0.08 +
+ vX_[318] * vX_[186] * 0.35 + vX_[315] * vX_[166] * 0.33 + (0 - vX_[7283] + vX_[314]) * 0.08 +
+ vX_[314] * vX_[186] * 0.35 + vX_[313] * vX_[166] * -0.33 + vX_[308] * vX_[166] * 0.33 +
+ vX_[302] * vX_[186] * 0.33 + vX_[352] * vX_[166] * 0.35 +
+ (vX_[5252] * vX_[186] + vX_[385] * vX_[166]) * 0.33 + vX_[376] * vX_[186] * 0.33 + (0 - vX_[363]) * 0.08 +
+ vX_[351] * vX_[186] * 0.35 + vX_[355] * vX_[186] * 0.33 + vX_[4907] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[1516] = vX_[7687] * 0.881 + (0 - vX_[7689]) * -0.000881;
+ vX_[1523] = vX_[7685] * -0.881;
+ vX_[1525] = vX_[7689] * 0.110125;
+ vX_[1566] = vX_[1523] - vX_[1525];
+ vX_[1568] = vX_[1516] * vX_[2915] + vX_[1566] * vX_[963];
+ vX_[987] = vX_[7677] * 3.146 + (0 - vX_[7678]) * 0.0825825;
+ vX_[8640] = vX_[7676] * -3.146;
+ vX_[474] = vX_[7678] * 0.47422804;
+ vX_[9021] = vX_[8640] - vX_[474];
+ vX_[1388] = vX_[1568] + vX_[987] * vX_[775] + vX_[9021] * vX_[1018];
+ vX_[345] = vX_[7665] * 3.44 + vX_[7668] * -0.5824264;
+ vX_[2427] = 0 - vX_[345];
+ vX_[2080] = vX_[7659] * 3.44 + (0 - vX_[7668]) * 0.1466472;
+ vX_[1618] = vX_[7549] + vX_[7659] * vX_[252] + vX_[7631] * vX_[234] + vX_[7665] * vX_[243] + vX_[7668] * vX_[528] +
+ vX_[7670] * vX_[580];
+ vX_[1309] = vX_[1388] * -1 + vX_[2427] * vX_[4087] + vX_[2080] * vX_[3807] + vX_[1618] * x_in[30];
+ vX_[1505] = vX_[7151] - vX_[7580];
+ vX_[1342] = vX_[7559] + vX_[5323];
+ vX_[1465] = vX_[1505] * vX_[249] + vX_[1342] * vX_[247];
+ vX_[9025] = vX_[2889] - vX_[7580];
+ vX_[6694] = vX_[9025] * vX_[249];
+ vX_[8247] = vX_[1505] * vX_[235] + vX_[1342] * vX_[249];
+ vX_[2734] = vX_[9025] * vX_[247];
+ vX_[8246] = vX_[8247] + vX_[2734];
+ vX_[2731] = vX_[1465] * vX_[235] + vX_[6694] * vX_[247] + vX_[8246] * vX_[249];
+ vX_[3116] = 0 - vX_[2731];
+ vX_[2681] = vX_[7580] + vX_[8247] * vX_[235] + vX_[6694] * vX_[249];
+ vX_[2691] = 0 - vX_[2681];
+ vX_[2299] = vX_[7580] + vX_[1465] * vX_[249] + vX_[2734] * vX_[247];
+ vX_[369] = vX_[2869] + vX_[2868];
+ vX_[1562] = vX_[7562] + vX_[7573] - vX_[369];
+ vX_[5104] = vX_[2910] + vX_[2878];
+ vX_[1306] = 0 - (vX_[7563] + vX_[7574]) + vX_[5104];
+ vX_[7292] = (vX_[5104] * vX_[235] + vX_[369] * vX_[249]) * -1;
+ vX_[7284] = 0 - (vX_[1562] * vX_[249] + vX_[1306] * vX_[247]) + vX_[7292];
+ vX_[7268] = vX_[7284] + vX_[2681] * vX_[236];
+ vX_[7248] = 0 - vX_[7268];
+ vX_[7127] = (vX_[5104] * vX_[249] + vX_[369] * vX_[247]) * -1;
+ vX_[7125] = vX_[1562] * vX_[235] + vX_[1306] * vX_[249] + vX_[7127];
+ vX_[7121] = 0 - vX_[2299];
+ vX_[7115] = vX_[7125] + vX_[2731] * vX_[236] + vX_[7121] * vX_[165];
+ vX_[4248] = vX_[7566] + vX_[5340];
+ vX_[5380] = vX_[7561] + vX_[5342];
+ vX_[4930] = vX_[4248] * vX_[247] + vX_[5380] * vX_[249];
+ vX_[6725] = vX_[7556] + vX_[7576];
+ vX_[9169] = vX_[7565] + vX_[5338];
+ vX_[8250] = vX_[6725] * vX_[249] + vX_[9169] * vX_[247];
+ vX_[4488] = vX_[4930] * vX_[235] + vX_[8250] * vX_[249];
+ vX_[4392] = vX_[7540] + vX_[7414];
+ vX_[7816] = vX_[2855] + vX_[2848];
+ vX_[2490] = 0 - vX_[7816];
+ vX_[7805] = vX_[4392] * vX_[249] + vX_[2490] * vX_[247];
+ vX_[9139] = 0 - vX_[7805];
+ vX_[341] = vX_[4488] + vX_[9139] * vX_[165] + vX_[2691] * vX_[251];
+ vX_[6657] = 0 - vX_[341];
+ vX_[4920] = vX_[4248] * vX_[249] + vX_[5380] * vX_[235];
+ vX_[7835] = vX_[6725] * vX_[235] + vX_[9169] * vX_[249];
+ vX_[838] = vX_[4920] * vX_[249] + vX_[7835] * vX_[247];
+ vX_[7816] = 0 - vX_[7816];
+ vX_[8619] = vX_[4392] * vX_[235] + vX_[7816] * vX_[249];
+ vX_[9170] = 0 - vX_[8619];
+ vX_[9144] = vX_[838] + vX_[9170] * vX_[236] + vX_[2299] * vX_[251];
+ vX_[7777] = vX_[4920] * vX_[235] + vX_[7835] * vX_[249];
+ vX_[9036] = vX_[7777] + vX_[7805] * vX_[236];
+ vX_[9148] = vX_[4930] * vX_[249] + vX_[8250] * vX_[247];
+ vX_[8365] = vX_[9148] + vX_[8619] * vX_[165] + vX_[3116] * vX_[251];
+ vX_[2448] = 0 - vX_[9036] + vX_[8365];
+ vX_[1157] = 0 - vX_[2731];
+ vX_[1864] = 0 - vX_[2681];
+ vX_[2691] = vX_[3116] * vX_[583] + vX_[2691] * vX_[530] + vX_[2299] * vX_[214] + vX_[7248] * vX_[252] +
+ vX_[7115] * vX_[263] + vX_[6657] * vX_[243] + vX_[9144] * vX_[237] + vX_[2448] * vX_[234] +
+ vX_[1157] * vX_[580] + vX_[2731] * vX_[577] + vX_[1864] * vX_[529] + vX_[2299] * vX_[533];
+ vX_[3116] = 0 - vX_[1516];
+ vX_[9138] = vX_[7674] * 0.881 + (0 - vX_[7691]) * 0.110125 + vX_[7693] * -0.000881;
+ vX_[9175] = -0.0336503571292158 + vX_[7685] * -0.00370574557885489 + vX_[7687] * 0.880970354035369;
+ vX_[2455] = vX_[3116] * vX_[789] + vX_[9138] * vX_[963] + vX_[9175] * x_in[32];
+ vX_[1525] = 0 - vX_[1523] + vX_[1525];
+ vX_[1523] = 0 - vX_[9138];
+ vX_[7583] = -4.20629464115198 + vX_[7685] * 0.417781802643138 + vX_[7687] * -0.00370574557885489;
+ vX_[2478] = vX_[1525] * vX_[789] + vX_[1523] * vX_[2915] - vX_[7583] * x_in[32];
+ vX_[8272] = 0 - vX_[987];
+ vX_[1152] = vX_[7672] * 3.146 + (0 - vX_[7673]) * 0.47422804 + vX_[7683] * 0.0825825;
+ vX_[8252] = vX_[7547] + vX_[7676] * vX_[211] + vX_[7677] * vX_[210] + vX_[7673] * vX_[187] + vX_[7683] * vX_[185];
+ vX_[1859] = vX_[2455] * vX_[169] + vX_[2478] * vX_[167] + vX_[8272] * vX_[816] + vX_[1152] * vX_[1018] +
+ vX_[8252] * x_in[31];
+ vX_[474] = 0 - vX_[8640] + vX_[474];
+ vX_[8640] = 0 - vX_[1152];
+ vX_[2023] = vX_[7545] + vX_[7676] * vX_[209] + vX_[7677] * vX_[211] + vX_[7673] * vX_[193] + vX_[7683] * vX_[192];
+ vX_[2034] = vX_[2455] * vX_[1069] + vX_[2478] * vX_[169] + vX_[474] * vX_[816] + vX_[8640] * vX_[775] -
+ vX_[2023] * x_in[31];
+ vX_[7847] = vX_[7631] * -3.44;
+ vX_[2010] = vX_[7655] * 0.1466472;
+ vX_[1989] = vX_[7670] * -0.5824264;
+ vX_[2002] = 0 - vX_[7847] + vX_[2010] - vX_[1989];
+ vX_[1888] = 0 - vX_[2080];
+ vX_[1980] = vX_[7543] + vX_[7659] * vX_[263] + vX_[7631] * vX_[237] + vX_[7665] * vX_[234] + vX_[7668] * vX_[577] +
+ vX_[7670] * vX_[527];
+ vX_[1657] = vX_[1859] * vX_[1065] + vX_[2034] * vX_[186] + vX_[2002] * vX_[4087] + vX_[1888] * vX_[824] -
+ vX_[1980] * x_in[30];
+ vX_[952] = vX_[7151] + vX_[2889] + vX_[7580] - vX_[2681] - vX_[2299];
+ vX_[8622] = 0 - vX_[952];
+ vX_[7292] = vX_[7292] + vX_[8622] * vX_[236];
+ vX_[7127] = vX_[7127] + vX_[952] * vX_[165];
+ vX_[2461] = 0 - vX_[7115];
+ vX_[2907] = 0 - vX_[9144];
+ vX_[2444] = vX_[2859] + vX_[2851] + vX_[5380] + vX_[9169] - vX_[7777] - vX_[9148];
+ vX_[8365] = vX_[2444] - vX_[8365];
+ vX_[7152] = 0 - vX_[7805];
+ vX_[2468] = 0 - vX_[2731];
+ vX_[7585] = 0 - vX_[2299];
+ vX_[2430] = vX_[5329] - vX_[7575];
+ vX_[7577] = vX_[7144] - vX_[7575];
+ vX_[8628] = vX_[7569] + vX_[5327];
+ vX_[8611] = vX_[7567] + vX_[6665];
+ vX_[7011] = vX_[7564] + vX_[6647];
+ vX_[2748] = 0 - vX_[7011];
+ vX_[8224] = vX_[2430] * vX_[249] + vX_[8628] * vX_[247];
+ vX_[8230] = vX_[7577] * vX_[249];
+ vX_[8773] = vX_[2430] * vX_[235] + vX_[8628] * vX_[249];
+ vX_[1828] = vX_[7577] * vX_[247];
+ vX_[1236] = vX_[8773] + vX_[1828];
+ vX_[8664] = vX_[7674] * -0.000881 + vX_[7693] * -0.000227999999999999;
+ vX_[9258] = vX_[7674] * 0.110125 + (0 - vX_[7691]) * 0.025713;
+ vX_[8683] = (0 - vX_[7685]) * -0.000881;
+ vX_[8614] = (0 - vX_[7687]) * 0.110125;
+ vX_[8233] = vX_[8683] + vX_[8614];
+ vX_[8233] = vX_[3116] * vX_[1930] + vX_[1525] * vX_[2925] + vX_[8664] * vX_[2915] + vX_[9258] * vX_[963] +
+ vX_[8233] * vX_[789] + vX_[8233] * vX_[789];
+ vX_[1525] = vX_[7672] * 0.0825825 + (0 - vX_[7678]) * -0.000102 + vX_[7673] * -0.007418 + vX_[7683] * 0.002735;
+ vX_[3116] = vX_[7672] * 0.47422804 + vX_[7678] * 2.1e-05 + (0 - vX_[7673]) * 0.084376 + (0 - vX_[7683]) * -0.007418;
+ vX_[8235] = (0 - vX_[7676]) * 0.0825825;
+ vX_[1854] = (0 - vX_[7677]) * 0.47422804;
+ vX_[8606] = vX_[7673] * -0.000102;
+ vX_[460] = (0 - vX_[7683]) * 2.1e-05;
+ vX_[8623] = vX_[8235] + vX_[1854] + vX_[8606] + vX_[460];
+ vX_[8623] = vX_[8233] + vX_[2455] * vX_[1077] + vX_[2478] * vX_[168] + vX_[8272] * vX_[797] + vX_[474] * vX_[2924] +
+ vX_[1525] * vX_[775] + vX_[3116] * vX_[1018] + vX_[8623] * vX_[816] + vX_[8623] * vX_[816];
+ vX_[474] = vX_[7631] * -0.5824264 + (0 - vX_[7655]) * 0.022734 + vX_[7668] * 3.6e-05 + vX_[7670] * -0.133138;
+ vX_[8272] = vX_[7631] * 0.1466472 + vX_[7655] * 0.009466 + (0 - vX_[7668]) * -5.1e-05 + vX_[7670] * 0.022734;
+ vX_[9199] = (0 - vX_[7659]) * -0.5824264;
+ vX_[1766] = (0 - vX_[7665]) * 0.1466472;
+ vX_[9354] = (0 - vX_[7655]) * 3.6e-05;
+ vX_[1818] = (0 - vX_[7670]) * -5.1e-05;
+ vX_[9355] = vX_[9199] + vX_[1766] + vX_[9354] - vX_[1818];
+ vX_[8196] = vX_[7554] + vX_[7659] * vX_[268] + vX_[7631] * vX_[527] + vX_[7665] * vX_[580] + vX_[7668] * vX_[579] +
+ vX_[7670] * vX_[231];
+ vX_[9355] = vX_[1859] * vX_[1066] + vX_[2034] * vX_[201] + vX_[8623] * -1 + vX_[345] * vX_[3339] +
+ vX_[1888] * vX_[806] + vX_[474] * vX_[4087] + vX_[8272] * vX_[3807] + vX_[9355] * vX_[824] +
+ vX_[9355] * vX_[824] + vX_[8196] * x_in[30];
+ vX_[7689] = vX_[7685] * 0.110125 + vX_[7687] * -0.000881 + vX_[7689] * 0.025941;
+ vX_[7693] = vX_[7674] * -0.000881 + vX_[7693] * 0.000468;
+ vX_[8614] = vX_[1516] * vX_[812] + vX_[1523] * vX_[2925] + vX_[8664] * vX_[789] + vX_[7689] * vX_[963] +
+ vX_[8614] * vX_[2915] + vX_[8614] * vX_[2915] + vX_[7693] * x_in[32];
+ vX_[7691] = vX_[7674] * -0.110125 + vX_[7691] * 0.026409;
+ vX_[7689] = vX_[1566] * vX_[812] + vX_[9138] * vX_[1930] + vX_[9258] * vX_[789] + vX_[7689] * vX_[2915] +
+ vX_[8683] * vX_[963] + vX_[8683] * vX_[963] - vX_[7691] * x_in[32];
+ vX_[8683] = vX_[7676] * 0.47422804 + vX_[7677] * 0.0825825 + vX_[7678] * 0.081641 + (0 - vX_[7673]) * 2.1e-05 +
+ vX_[7683] * -0.000102;
+ vX_[9258] = (0 - vX_[7678]) * -0.007418;
+ vX_[460] = vX_[1854] + vX_[9258] - vX_[460];
+ vX_[1854] = vX_[7539] + vX_[7672] * vX_[180] + vX_[7676] * vX_[192] + vX_[7677] * vX_[185] + vX_[7673] * vX_[226] +
+ vX_[7683] * vX_[222];
+ vX_[460] = vX_[1568] * -0.35 + vX_[8614] * vX_[169] + vX_[7689] * vX_[167] + vX_[987] * vX_[968] +
+ vX_[8640] * vX_[2924] + vX_[1525] * vX_[816] + vX_[8683] * vX_[1018] + vX_[460] * vX_[775] +
+ vX_[460] * vX_[775] + vX_[1854] * x_in[31];
+ vX_[9258] = vX_[8235] - vX_[9258] - vX_[8606];
+ vX_[8606] = vX_[7538] + vX_[7672] * vX_[189] + vX_[7676] * vX_[193] + vX_[7677] * vX_[187] + vX_[7673] * vX_[220] +
+ vX_[7683] * vX_[226];
+ vX_[9258] = vX_[8614] * vX_[175] + vX_[7689] * vX_[169] + vX_[9021] * vX_[968] + vX_[1152] * vX_[797] +
+ vX_[3116] * vX_[816] + vX_[8683] * vX_[775] + vX_[9258] * vX_[1018] + vX_[9258] * vX_[1018] -
+ vX_[8606] * x_in[31];
+ vX_[1989] = vX_[7847] - vX_[2010] + vX_[1989];
+ vX_[2010] = vX_[7659] * 0.1466472 + vX_[7665] * -0.5824264 + vX_[7655] * -5.1e-05 + (0 - vX_[7668]) * -0.123672 +
+ (0 - vX_[7670]) * 3.6e-05;
+ vX_[7847] = vX_[7668] * 0.022734;
+ vX_[9354] = vX_[9199] - vX_[9354] - vX_[7847];
+ vX_[9199] = vX_[7536] + vX_[7659] * vX_[205] + vX_[7631] * vX_[577] + vX_[7665] * vX_[528] + vX_[7668] * vX_[526] +
+ vX_[7670] * vX_[579];
+ vX_[9354] = vX_[460] * vX_[195] + vX_[9258] * vX_[186] + vX_[1989] * vX_[3339] + vX_[2080] * vX_[3838] +
+ vX_[2010] * vX_[4087] + vX_[8272] * vX_[824] + vX_[9354] * vX_[3807] + vX_[9354] * vX_[3807] -
+ vX_[9199] * x_in[30];
+ vX_[7720] = vX_[7720] * vX_[2018];
+ vX_[8272] = vX_[7720] * vX_[169];
+ vX_[7721] = vX_[7721] * vX_[2018];
+ vX_[2080] = vX_[7721] * vX_[167];
+ vX_[7722] = vX_[7722] * vX_[2018];
+ vX_[7692] = vX_[7692] * vX_[2013];
+ vX_[8683] = vX_[7692] * vX_[169];
+ vX_[3116] = vX_[7692] * vX_[167];
+ vX_[7708] = vX_[7708] * vX_[2025];
+ vX_[1152] = vX_[7708] * vX_[167];
+ vX_[7696] = vX_[7696] * vX_[2015];
+ vX_[9021] = vX_[7696] * vX_[169];
+ vX_[7694] = vX_[7694] * vX_[2013];
+ vX_[8235] = vX_[7694] * vX_[169];
+ vX_[1525] = 0 - vX_[8235];
+ vX_[8640] = vX_[7694] * vX_[167];
+ vX_[987] = 0 - vX_[3116];
+ vX_[1568] = vX_[7708] * vX_[169];
+ vX_[7709] = vX_[7709] * vX_[2025];
+ vX_[9138] = 0 - vX_[7709];
+ vX_[1566] = vX_[9138] * vX_[169];
+ vX_[7674] = vX_[7709] * vX_[167];
+ vX_[8664] = vX_[7720] + vX_[7696];
+ vX_[7697] = vX_[7697] * vX_[2015];
+ vX_[1523] = 0 - vX_[7721] - vX_[7697];
+ vX_[1516] = vX_[8664] * vX_[167] + vX_[1523] * vX_[169];
+ vX_[7687] = vX_[7697] * vX_[167];
+ vX_[7714] = vX_[7714] * vX_[2025] + vX_[7702] * vX_[2013];
+ vX_[7702] = 0 - vX_[7714];
+ vX_[7685] = 0 - vX_[7714];
+ vX_[1888] = vX_[7685] * vX_[169];
+ vX_[8649] = vX_[7714] * vX_[167];
+ vX_[9329] = vX_[7715] * vX_[1209] + vX_[7901] * vX_[1159] + vX_[7904] * vX_[1194];
+ vX_[9226] = 0 - vX_[9329];
+ vX_[1231] = vX_[7715] * vX_[1294] + vX_[7901] * vX_[1195] + vX_[7904] * vX_[1153];
+ vX_[8610] = vX_[9226] * x_in[18] + vX_[1231] * x_in[19];
+ vX_[8211] = 0 - vX_[8610];
+ vX_[1467] = 0 - vX_[8610];
+ vX_[8592] = vX_[1467] * vX_[169];
+ vX_[8590] = vX_[8610] * vX_[167];
+ vX_[7715] = vX_[7715] * vX_[1192] + vX_[7901] * vX_[1210] + vX_[7904] * vX_[1295];
+ jac[1148] = vX_[2023] * vX_[1119] + vX_[8252] * vX_[797] + vX_[8606] * vX_[2026] + vX_[1854] * vX_[775] +
+ vX_[8623] + vX_[7715] * vX_[1214] + vX_[9329] * vX_[1165] + vX_[1231] * vX_[1198];
+ jac[1184] = vX_[7583] * vX_[1968] + vX_[9175] * vX_[1930] + vX_[7691] * vX_[1653] + vX_[7693] * vX_[2915] +
+ vX_[8233] + vX_[7715] * vX_[1225] + vX_[9329] * vX_[1176] + vX_[1231] * vX_[1199];
+ vX_[7691] = vX_[7715] * x_in[32];
+ vX_[7693] = vX_[7691] * vX_[169];
+ vX_[8233] = vX_[7691] * vX_[167];
+ vX_[7583] = vX_[7715] * x_in[31];
+ vX_[9175] = vX_[9329] * x_in[30];
+ vX_[8606] = 0 - vX_[9175];
+ vX_[1854] = vX_[7583] * vX_[169];
+ vX_[8623] = 0 - vX_[9175];
+ vX_[2023] = vX_[8623] * vX_[169];
+ vX_[8252] = vX_[7583] * vX_[167];
+ vX_[7904] = vX_[9175] * vX_[167];
+ vX_[7901] = vX_[7726] * vX_[1180];
+ vX_[8588] = 0 - vX_[7901];
+ vX_[8585] = 0 - vX_[7901];
+ vX_[8576] = vX_[8585] * vX_[169];
+ vX_[8849] = vX_[7901] * vX_[167];
+ vX_[9292] = 0 - vX_[7292];
+ vX_[9352] = 0 - vX_[7127];
+ vX_[2444] = 0 - vX_[2444] + vX_[9036];
+ vX_[9036] = 0 - vX_[8619];
+ vX_[7011] = 0 - vX_[7011];
+ vX_[7686] = vX_[7686] * vX_[2013];
+ vX_[4124] = vX_[7686] * vX_[167];
+ vX_[7688] = vX_[7688] * vX_[2013];
+ vX_[9200] = 0 - vX_[7688];
+ vX_[9314] = vX_[9200] * vX_[169];
+ vX_[7690] = vX_[7690] * vX_[2013];
+ vX_[7707] = vX_[7707] * vX_[2025];
+ vX_[7723] = vX_[7723] * vX_[2018];
+ vX_[9312] = vX_[7723] * vX_[169];
+ vX_[9283] = vX_[7723] * vX_[167];
+ vX_[8858] = 0 - vX_[9283];
+ vX_[7712] = vX_[7712] * vX_[1124];
+ vX_[4106] = vX_[7712] * vX_[167];
+ vX_[7724] = vX_[7724] * vX_[2018];
+ vX_[9293] = vX_[7724] * vX_[169];
+ vX_[9247] = vX_[7724] * vX_[167];
+ vX_[7713] = vX_[7713] * vX_[1124];
+ vX_[2088] = 0 - vX_[7713];
+ vX_[620] = vX_[2088] * vX_[169];
+ vX_[8625] = vX_[7686] + vX_[7712];
+ vX_[7713] = vX_[7688] + vX_[7713];
+ vX_[7688] = vX_[8625] * vX_[169] + vX_[7713] * vX_[167];
+ vX_[7710] = vX_[7710] * vX_[2025] + vX_[7701] * vX_[2018];
+ vX_[7701] = 0 - vX_[7710];
+ vX_[9180] = 0 - vX_[7710];
+ vX_[9215] = vX_[9180] * vX_[169];
+ vX_[1811] = vX_[7710] * vX_[167];
+ vX_[1780] = 0 - vX_[1231];
+ vX_[8681] = vX_[7715] * x_in[18] + vX_[1780] * x_in[20];
+ vX_[9253] = 0 - vX_[8681];
+ vX_[1571] = vX_[8681] * vX_[167];
+ vX_[8679] = vX_[7715] * x_in[30];
+ vX_[9269] = vX_[8679] * vX_[167];
+ vX_[9276] = vX_[9329] * x_in[32];
+ vX_[9277] = vX_[9276] * vX_[169];
+ vX_[9259] = vX_[9276] * vX_[167];
+ vX_[8193] = vX_[9329] * x_in[31];
+ vX_[8794] = vX_[8679] * vX_[169];
+ vX_[9278] = vX_[8193] * vX_[169];
+ vX_[9284] = vX_[8193] * vX_[167];
+ vX_[9286] = vX_[7726] * vX_[1246];
+ vX_[9287] = 0 - vX_[9286];
+ vX_[8701] = 0 - vX_[8681];
+ vX_[9288] = 0 - vX_[9286];
+ vX_[9289] = vX_[8701] * vX_[169] + vX_[9288] * vX_[169];
+ vX_[8199] = vX_[9286] * vX_[167];
+ jac[464] =
+ 0 -
+ (0 - (vX_[7543] * vX_[4013] + vX_[7568] * vX_[1621] + vX_[1309] * x_in[22]) +
+ (vX_[7543] * vX_[5604] + vX_[7560] * vX_[1621] + vX_[2691] * vX_[249] + vX_[1309] * x_in[20]) * 0.3735 -
+ (vX_[7549] * vX_[4885] + vX_[7570] * vX_[4058] + vX_[1657] * x_in[23]) +
+ (vX_[7549] * vX_[4518] + vX_[7555] * vX_[4058] + vX_[1657] * x_in[19]) * -0.3735 +
+ (vX_[7549] * vX_[4368] + vX_[7586] * vX_[4058] +
+ (vX_[9139] * vX_[530] + vX_[8619] * vX_[583] + vX_[952] * vX_[262] + vX_[7121] * vX_[264] +
+ vX_[7292] * vX_[234] + vX_[7127] * vX_[243] + vX_[2461] * vX_[246] + vX_[2907] * vX_[263] +
+ vX_[8365] * vX_[252] + vX_[7152] * vX_[528] + vX_[8619] * vX_[580] + vX_[2468] * vX_[205] +
+ vX_[7585] * vX_[535]) *
+ -1 +
+ vX_[1657] * x_in[18]) *
+ -0.207 -
+ (vX_[7536] * vX_[4518] + vX_[7554] * vX_[5604] + vX_[7560] * vX_[1314] + vX_[7555] * vX_[1268] +
+ vX_[2430] * vX_[707] + vX_[7577] * vX_[705] + vX_[8628] * vX_[703] + vX_[8611] * vX_[588] +
+ vX_[2748] * vX_[252] + vX_[8224] * vX_[692] + vX_[8230] * vX_[161] + vX_[1236] * vX_[234] +
+ vX_[4248] * vX_[671] + vX_[6725] * vX_[646] + vX_[5104] * vX_[270] + vX_[369] * vX_[260] +
+ vX_[5380] * vX_[672] + vX_[9169] * vX_[649] + vX_[4920] * vX_[647] + vX_[4930] * vX_[582] +
+ vX_[7835] * vX_[648] + vX_[8250] * vX_[645] + vX_[1562] * vX_[259] + vX_[1306] * vX_[269] +
+ vX_[1505] * vX_[589] + vX_[9025] * vX_[587] + vX_[1342] * vX_[585] + vX_[4392] * vX_[626] +
+ vX_[7816] * vX_[627] + vX_[1465] * vX_[536] + vX_[6694] * vX_[532] + vX_[8246] * vX_[584] +
+ vX_[2691] * vX_[250] + vX_[9355] * x_in[19] + vX_[9354] * x_in[20]) +
+ vX_[7675] * vX_[2013] + vX_[7711] * vX_[1124] + vX_[8272] * vX_[166] + vX_[2080] * vX_[166] +
+ (0 - vX_[7722]) * 0.3735 + vX_[7722] * vX_[166] * -0.35 + vX_[8683] * 0.35 + vX_[8683] * vX_[186] * 0.08 +
+ vX_[8683] * vX_[166] * 0.3735 + vX_[3116] * vX_[186] * 0.3735 + vX_[1152] * vX_[186] * 0.207 +
+ vX_[9021] * vX_[166] + vX_[1525] * vX_[186] * 0.3735 + vX_[8640] * 0.35 +
+ (vX_[987] * vX_[166] + vX_[8640] * vX_[186]) * 0.08 + vX_[8640] * vX_[166] * 0.3735 +
+ (vX_[1568] * vX_[166] + vX_[1566] * vX_[186]) * 0.207 + vX_[7674] * vX_[166] * 0.207 +
+ vX_[1516] * vX_[186] + vX_[7687] * vX_[166] + (vX_[8235] * vX_[166] - vX_[7714]) * 0.08 +
+ vX_[7702] * vX_[186] * 0.35 + vX_[1888] * vX_[186] * 0.33 + vX_[8649] * vX_[166] * 0.33 +
+ (0 - vX_[8610]) * 0.08 + vX_[8211] * vX_[186] * 0.35 + vX_[8592] * vX_[186] * 0.33 +
+ vX_[8590] * vX_[166] * 0.33 + vX_[7693] * vX_[166] * 0.33 + vX_[8233] * vX_[186] * 0.33 +
+ vX_[7583] * vX_[166] * 0.35 + (0 - vX_[9175]) * 0.08 + vX_[8606] * vX_[186] * 0.35 +
+ (vX_[1854] * vX_[166] + vX_[2023] * vX_[186]) * 0.33 +
+ (vX_[8252] * vX_[186] + vX_[7904] * vX_[166]) * 0.33 + (0 - vX_[7901]) * 0.08 +
+ vX_[8588] * vX_[186] * 0.35 + vX_[8576] * vX_[186] * 0.33 + vX_[8849] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[7543] * vX_[4885] + vX_[7536] * vX_[5604] + vX_[7570] * vX_[1621] + vX_[7560] * vX_[1268] +
+ vX_[2430] * vX_[703] + vX_[8611] * vX_[252] + vX_[8773] * vX_[161] + vX_[8224] * vX_[234] +
+ vX_[6725] * vX_[649] + vX_[5104] * vX_[260] + vX_[5380] * vX_[671] + vX_[4920] * vX_[648] +
+ vX_[4930] * vX_[645] + vX_[1562] * vX_[269] + vX_[1505] * vX_[585] + vX_[4392] * vX_[627] +
+ vX_[8247] * vX_[532] + vX_[1465] * vX_[584] +
+ (vX_[7805] * vX_[581] + vX_[9170] * vX_[214] + vX_[2731] * vX_[264] + vX_[8622] * vX_[238] +
+ vX_[2681] * vX_[253] + vX_[9292] * vX_[237] + vX_[7268] * vX_[246] + vX_[9352] * vX_[234] +
+ vX_[341] * vX_[252] + vX_[2444] * vX_[263] + vX_[7805] * vX_[577] + vX_[9036] * vX_[527] +
+ vX_[2731] * vX_[268] + vX_[2681] * vX_[524]) *
+ 0.207 +
+ vX_[1309] * x_in[23] + vX_[9355] * x_in[20] +
+ (vX_[7543] * vX_[4518] + vX_[7555] * vX_[1621] + vX_[2691] * vX_[247] + vX_[1309] * x_in[19]) * 0.3735 +
+ (vX_[7543] * vX_[4368] + vX_[7586] * vX_[1621] + vX_[1309] * x_in[18]) * 0.207 -
+ (vX_[7549] * vX_[4013] + vX_[7568] * vX_[4058] + vX_[1657] * x_in[22]) +
+ (vX_[7549] * vX_[5604] + vX_[7560] * vX_[4058] + vX_[1657] * x_in[20]) * 0.3735 -
+ (vX_[7554] * vX_[4518] + vX_[7555] * vX_[1314] + vX_[7577] * vX_[704] + vX_[8628] * vX_[707] +
+ vX_[7011] * vX_[588] + vX_[8230] * vX_[234] + vX_[1828] * vX_[692] + vX_[4248] * vX_[672] +
+ vX_[369] * vX_[270] + vX_[9169] * vX_[646] + vX_[7835] * vX_[647] + vX_[8250] * vX_[582] +
+ vX_[1306] * vX_[259] + vX_[9025] * vX_[586] + vX_[1342] * vX_[589] + vX_[2490] * vX_[626] +
+ vX_[6694] * vX_[584] + vX_[2734] * vX_[536] + vX_[2691] * vX_[248] + vX_[9354] * x_in[19]) -
+ vX_[7719] * vX_[2018] + vX_[4124] * vX_[186] + vX_[9314] * vX_[186] + (0 - vX_[7690]) * 0.3735 +
+ vX_[7690] * vX_[166] * -0.35 + (0 - vX_[7707]) * 0.207 - vX_[7695] * vX_[2015] + (0 - vX_[9312]) * 0.35 +
+ (0 - vX_[9312] * vX_[186]) * 0.08 + vX_[9312] * vX_[166] * -0.3735 + vX_[8858] * vX_[186] * 0.3735 +
+ vX_[9283] * vX_[166] * 0.08 + vX_[4106] * vX_[186] + vX_[9293] * vX_[186] * 0.3735 +
+ (0 - vX_[9293] * vX_[166]) * 0.08 + (0 - vX_[9247]) * 0.35 + (0 - vX_[9247] * vX_[186]) * 0.08 +
+ vX_[9247] * vX_[166] * -0.3735 + vX_[620] * vX_[186] + vX_[7688] * vX_[166] + vX_[7701] * vX_[186] * 0.35 +
+ vX_[9215] * vX_[186] * 0.33 + vX_[1811] * vX_[166] * 0.33 + (0 - vX_[8681]) * 0.08 +
+ vX_[9253] * vX_[186] * 0.35 + vX_[1571] * vX_[166] * 0.33 + (0 - vX_[7710] + vX_[8679]) * 0.08 +
+ vX_[8679] * vX_[186] * 0.35 + vX_[9269] * vX_[166] * -0.33 + vX_[9277] * vX_[166] * 0.33 +
+ vX_[9259] * vX_[186] * 0.33 + vX_[8193] * vX_[166] * 0.35 +
+ (vX_[8794] * vX_[186] + vX_[9278] * vX_[166]) * 0.33 + vX_[9284] * vX_[186] * 0.33 +
+ (0 - vX_[9286]) * 0.08 + vX_[9287] * vX_[186] * 0.35 + vX_[9289] * vX_[186] * 0.33 +
+ vX_[8199] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[8628] = vX_[8106] * 0.881 + (0 - vX_[8108]) * -0.000881;
+ vX_[7577] = vX_[8104] * -0.881;
+ vX_[2430] = vX_[8108] * 0.110125;
+ vX_[8622] = vX_[7577] - vX_[2430];
+ vX_[952] = vX_[8628] * vX_[2915] + vX_[8622] * vX_[963];
+ vX_[2691] = vX_[8096] * 3.146 + (0 - vX_[8097]) * 0.0825825;
+ vX_[9170] = vX_[8095] * -3.146;
+ vX_[7816] = vX_[8097] * 0.47422804;
+ vX_[7835] = vX_[9170] - vX_[7816];
+ vX_[4920] = vX_[952] + vX_[2691] * vX_[775] + vX_[7835] * vX_[1018];
+ vX_[9139] = vX_[8084] * 3.44 + vX_[8087] * -0.5824264;
+ vX_[2490] = 0 - vX_[9139];
+ vX_[4392] = vX_[8078] * 3.44 + (0 - vX_[8087]) * 0.1466472;
+ vX_[8250] = vX_[8078] * vX_[252] + vX_[8050] * vX_[234] + vX_[8084] * vX_[243] + vX_[8087] * vX_[528] +
+ vX_[8089] * vX_[580];
+ vX_[9169] = vX_[4920] * -1 + vX_[2490] * vX_[4087] + vX_[4392] * vX_[3807] + vX_[8250] * x_in[30];
+ vX_[6725] = vX_[7578] - vX_[7999];
+ vX_[4930] = vX_[7978] + vX_[2836];
+ vX_[5380] = vX_[6725] * vX_[249] + vX_[4930] * vX_[247];
+ vX_[4248] = vX_[1848] - vX_[7999];
+ vX_[7121] = vX_[4248] * vX_[249];
+ vX_[1306] = vX_[6725] * vX_[235] + vX_[4930] * vX_[249];
+ vX_[5104] = vX_[4248] * vX_[247];
+ vX_[1562] = vX_[1306] + vX_[5104];
+ vX_[369] = vX_[5380] * vX_[235] + vX_[7121] * vX_[247] + vX_[1562] * vX_[249];
+ vX_[8246] = 0 - vX_[369];
+ vX_[2734] = vX_[7999] + vX_[1306] * vX_[235] + vX_[7121] * vX_[249];
+ vX_[8247] = 0 - vX_[2734];
+ vX_[6694] = vX_[7999] + vX_[5380] * vX_[249] + vX_[5104] * vX_[247];
+ vX_[9025] = vX_[2027] + vX_[1992];
+ vX_[1465] = vX_[7981] + vX_[7992] - vX_[9025];
+ vX_[1342] = vX_[1039] + vX_[826];
+ vX_[1505] = 0 - (vX_[7982] + vX_[7993]) + vX_[1342];
+ vX_[7719] = (vX_[1342] * vX_[235] + vX_[9025] * vX_[249]) * -1;
+ vX_[7711] = 0 - (vX_[1465] * vX_[249] + vX_[1505] * vX_[247]) + vX_[7719];
+ vX_[7695] = vX_[7711] + vX_[2734] * vX_[236];
+ vX_[7675] = 0 - vX_[7695];
+ vX_[7554] = (vX_[1342] * vX_[249] + vX_[9025] * vX_[247]) * -1;
+ vX_[7536] = vX_[1465] * vX_[235] + vX_[1505] * vX_[249] + vX_[7554];
+ vX_[7549] = 0 - vX_[6694];
+ vX_[7543] = vX_[7536] + vX_[369] * vX_[236] + vX_[7549] * vX_[165];
+ vX_[8182] = vX_[7985] + vX_[2798];
+ vX_[9290] = vX_[7980] + vX_[2838];
+ vX_[9291] = vX_[8182] * vX_[247] + vX_[9290] * vX_[249];
+ vX_[8682] = vX_[7975] + vX_[7995];
+ vX_[8695] = vX_[7984] + vX_[2834];
+ vX_[8344] = vX_[8682] * vX_[249] + vX_[8695] * vX_[247];
+ vX_[450] = vX_[9291] * vX_[235] + vX_[8344] * vX_[249];
+ vX_[448] = vX_[7969] + vX_[7841];
+ vX_[465] = vX_[1856] + vX_[1966];
+ vX_[480] = 0 - vX_[465];
+ vX_[468] = vX_[448] * vX_[249] + vX_[480] * vX_[247];
+ vX_[8185] = 0 - vX_[468];
+ vX_[9298] = vX_[450] + vX_[8185] * vX_[165] + vX_[8247] * vX_[251];
+ vX_[9299] = 0 - vX_[9298];
+ vX_[9303] = vX_[8182] * vX_[249] + vX_[9290] * vX_[235];
+ vX_[8177] = vX_[8682] * vX_[235] + vX_[8695] * vX_[249];
+ vX_[505] = vX_[9303] * vX_[249] + vX_[8177] * vX_[247];
+ vX_[465] = 0 - vX_[465];
+ vX_[8194] = vX_[448] * vX_[235] + vX_[465] * vX_[249];
+ vX_[477] = 0 - vX_[8194];
+ vX_[492] = vX_[505] + vX_[477] * vX_[236] + vX_[6694] * vX_[251];
+ vX_[390] = vX_[9303] * vX_[235] + vX_[8177] * vX_[249];
+ vX_[650] = vX_[390] + vX_[468] * vX_[236];
+ vX_[2929] = vX_[9291] * vX_[249] + vX_[8344] * vX_[247];
+ vX_[449] = vX_[2929] + vX_[8194] * vX_[165] + vX_[8246] * vX_[251];
+ vX_[466] = 0 - vX_[650] + vX_[449];
+ vX_[9086] = 0 - vX_[369];
+ vX_[467] = 0 - vX_[2734];
+ vX_[8247] = vX_[8246] * vX_[583] + vX_[8247] * vX_[530] + vX_[6694] * vX_[214] + vX_[7675] * vX_[252] +
+ vX_[7543] * vX_[263] + vX_[9299] * vX_[243] + vX_[492] * vX_[237] + vX_[466] * vX_[234] +
+ vX_[9086] * vX_[580] + vX_[369] * vX_[577] + vX_[467] * vX_[529] + vX_[6694] * vX_[533];
+ vX_[8246] = 0 - vX_[8628];
+ vX_[447] = vX_[8093] * 0.881 + (0 - vX_[8110]) * 0.110125 + vX_[8112] * -0.000881;
+ vX_[8181] = vX_[8104] * -0.00370574557885489 + vX_[8106] * 0.880970354035369;
+ vX_[7792] = vX_[8246] * vX_[789] + vX_[447] * vX_[963] + vX_[8181] * x_in[32];
+ vX_[2430] = 0 - vX_[7577] + vX_[2430];
+ vX_[7577] = 0 - vX_[447];
+ vX_[441] = vX_[8104] * 0.417781802643138 + vX_[8106] * -0.00370574557885489;
+ vX_[8163] = vX_[2430] * vX_[789] + vX_[7577] * vX_[2915] - vX_[441] * x_in[32];
+ vX_[8161] = 0 - vX_[2691];
+ vX_[8159] = vX_[8091] * 3.146 + (0 - vX_[8092]) * 0.47422804 + vX_[8102] * 0.0825825;
+ vX_[8156] = vX_[8095] * vX_[211] + vX_[8096] * vX_[210] + vX_[8092] * vX_[187] + vX_[8102] * vX_[185];
+ vX_[8147] = vX_[7792] * vX_[169] + vX_[8163] * vX_[167] + vX_[8161] * vX_[816] + vX_[8159] * vX_[1018] +
+ vX_[8156] * x_in[31];
+ vX_[7816] = 0 - vX_[9170] + vX_[7816];
+ vX_[9170] = 0 - vX_[8159];
+ vX_[552] = vX_[8095] * vX_[209] + vX_[8096] * vX_[211] + vX_[8092] * vX_[193] + vX_[8102] * vX_[192];
+ vX_[1822] = vX_[7792] * vX_[1069] + vX_[8163] * vX_[169] + vX_[7816] * vX_[816] + vX_[9170] * vX_[775] -
+ vX_[552] * x_in[31];
+ vX_[4100] = vX_[8050] * -3.44;
+ vX_[1140] = vX_[8074] * 0.1466472;
+ vX_[831] = vX_[8089] * -0.5824264;
+ vX_[1901] = 0 - vX_[4100] + vX_[1140] - vX_[831];
+ vX_[1897] = 0 - vX_[4392];
+ vX_[1940] = vX_[8078] * vX_[263] + vX_[8050] * vX_[237] + vX_[8084] * vX_[234] + vX_[8087] * vX_[577] +
+ vX_[8089] * vX_[527];
+ vX_[1732] = vX_[8147] * vX_[1065] + vX_[1822] * vX_[186] + vX_[1901] * vX_[4087] + vX_[1897] * vX_[824] -
+ vX_[1940] * x_in[30];
+ vX_[1931] = vX_[7578] + vX_[1848] + vX_[7999] - vX_[2734] - vX_[6694];
+ vX_[1824] = 0 - vX_[1931];
+ vX_[7719] = vX_[7719] + vX_[1824] * vX_[236];
+ vX_[7554] = vX_[7554] + vX_[1931] * vX_[165];
+ vX_[1946] = 0 - vX_[7543];
+ vX_[1910] = 0 - vX_[492];
+ vX_[9085] = vX_[1929] + vX_[1926] + vX_[9290] + vX_[8695] - vX_[390] - vX_[2929];
+ vX_[449] = vX_[9085] - vX_[449];
+ vX_[9064] = 0 - vX_[468];
+ vX_[1949] = 0 - vX_[369];
+ vX_[5] = 0 - vX_[6694];
+ vX_[493] = vX_[2825] - vX_[7994];
+ vX_[495] = vX_[7571] - vX_[7994];
+ vX_[504] = vX_[7988] + vX_[2840];
+ vX_[494] = vX_[7986] + vX_[5374];
+ vX_[606] = vX_[7983] + vX_[5384];
+ vX_[1713] = 0 - vX_[606];
+ vX_[1717] = vX_[493] * vX_[249] + vX_[504] * vX_[247];
+ vX_[1720] = vX_[495] * vX_[249];
+ vX_[1721] = vX_[493] * vX_[235] + vX_[504] * vX_[249];
+ vX_[1730] = vX_[495] * vX_[247];
+ vX_[7774] = vX_[1721] + vX_[1730];
+ vX_[1760] = vX_[8093] * -0.000881 + vX_[8112] * -0.000227999999999999;
+ vX_[1783] = vX_[8093] * 0.110125 + (0 - vX_[8110]) * 0.025713;
+ vX_[1789] = (0 - vX_[8104]) * -0.000881;
+ vX_[1791] = (0 - vX_[8106]) * 0.110125;
+ vX_[1793] = vX_[1789] + vX_[1791];
+ vX_[1793] = vX_[8246] * vX_[1930] + vX_[2430] * vX_[2925] + vX_[1760] * vX_[2915] + vX_[1783] * vX_[963] +
+ vX_[1793] * vX_[789] + vX_[1793] * vX_[789];
+ vX_[2430] = vX_[8091] * 0.0825825 + (0 - vX_[8097]) * -0.000102 + vX_[8092] * -0.007418 + vX_[8102] * 0.002735;
+ vX_[8246] = vX_[8091] * 0.47422804 + vX_[8097] * 2.1e-05 + (0 - vX_[8092]) * 0.084376 + (0 - vX_[8102]) * -0.007418;
+ vX_[1795] = (0 - vX_[8095]) * 0.0825825;
+ vX_[1797] = (0 - vX_[8096]) * 0.47422804;
+ vX_[1803] = vX_[8092] * -0.000102;
+ vX_[7780] = (0 - vX_[8102]) * 2.1e-05;
+ vX_[7763] = vX_[1795] + vX_[1797] + vX_[1803] + vX_[7780];
+ vX_[7763] = vX_[1793] + vX_[7792] * vX_[1077] + vX_[8163] * vX_[168] + vX_[8161] * vX_[797] +
+ vX_[7816] * vX_[2924] + vX_[2430] * vX_[775] + vX_[8246] * vX_[1018] + vX_[7763] * vX_[816] +
+ vX_[7763] * vX_[816];
+ vX_[7816] = vX_[8050] * -0.5824264 + (0 - vX_[8074]) * 0.022734 + vX_[8087] * 3.6e-05 + vX_[8089] * -0.133138;
+ vX_[8161] = vX_[8050] * 0.1466472 + vX_[8074] * 0.009466 + (0 - vX_[8087]) * -5.1e-05 + vX_[8089] * 0.022734;
+ vX_[1805] = (0 - vX_[8078]) * -0.5824264;
+ vX_[1807] = (0 - vX_[8084]) * 0.1466472;
+ vX_[1834] = (0 - vX_[8074]) * 3.6e-05;
+ vX_[1837] = (0 - vX_[8089]) * -5.1e-05;
+ vX_[7925] = vX_[1805] + vX_[1807] + vX_[1834] - vX_[1837];
+ vX_[9350] = vX_[8078] * vX_[268] + vX_[8050] * vX_[527] + vX_[8084] * vX_[580] + vX_[8087] * vX_[579] +
+ vX_[8089] * vX_[231];
+ vX_[7925] = vX_[8147] * vX_[1066] + vX_[1822] * vX_[201] + vX_[7763] * -1 + vX_[9139] * vX_[3339] +
+ vX_[1897] * vX_[806] + vX_[7816] * vX_[4087] + vX_[8161] * vX_[3807] + vX_[7925] * vX_[824] +
+ vX_[7925] * vX_[824] + vX_[9350] * x_in[30];
+ vX_[8108] = vX_[8104] * 0.110125 + vX_[8106] * -0.000881 + vX_[8108] * 0.025941;
+ vX_[8112] = vX_[8093] * -0.000881 + vX_[8112] * 0.000468;
+ vX_[1791] = vX_[8628] * vX_[812] + vX_[7577] * vX_[2925] + vX_[1760] * vX_[789] + vX_[8108] * vX_[963] +
+ vX_[1791] * vX_[2915] + vX_[1791] * vX_[2915] + vX_[8112] * x_in[32];
+ vX_[8110] = vX_[8093] * -0.110125 + vX_[8110] * 0.026409;
+ vX_[8108] = vX_[8622] * vX_[812] + vX_[447] * vX_[1930] + vX_[1783] * vX_[789] + vX_[8108] * vX_[2915] +
+ vX_[1789] * vX_[963] + vX_[1789] * vX_[963] - vX_[8110] * x_in[32];
+ vX_[1789] = vX_[8095] * 0.47422804 + vX_[8096] * 0.0825825 + vX_[8097] * 0.081641 + (0 - vX_[8092]) * 2.1e-05 +
+ vX_[8102] * -0.000102;
+ vX_[1783] = (0 - vX_[8097]) * -0.007418;
+ vX_[7780] = vX_[1797] + vX_[1783] - vX_[7780];
+ vX_[1797] = vX_[8091] * vX_[180] + vX_[8095] * vX_[192] + vX_[8096] * vX_[185] + vX_[8092] * vX_[226] +
+ vX_[8102] * vX_[222];
+ vX_[7780] = vX_[952] * -0.35 + vX_[1791] * vX_[169] + vX_[8108] * vX_[167] + vX_[2691] * vX_[968] +
+ vX_[9170] * vX_[2924] + vX_[2430] * vX_[816] + vX_[1789] * vX_[1018] + vX_[7780] * vX_[775] +
+ vX_[7780] * vX_[775] + vX_[1797] * x_in[31];
+ vX_[1783] = vX_[1795] - vX_[1783] - vX_[1803];
+ vX_[1803] = vX_[8091] * vX_[189] + vX_[8095] * vX_[193] + vX_[8096] * vX_[187] + vX_[8092] * vX_[220] +
+ vX_[8102] * vX_[226];
+ vX_[1783] = vX_[1791] * vX_[175] + vX_[8108] * vX_[169] + vX_[7835] * vX_[968] + vX_[8159] * vX_[797] +
+ vX_[8246] * vX_[816] + vX_[1789] * vX_[775] + vX_[1783] * vX_[1018] + vX_[1783] * vX_[1018] -
+ vX_[1803] * x_in[31];
+ vX_[831] = vX_[4100] - vX_[1140] + vX_[831];
+ vX_[1140] = vX_[8078] * 0.1466472 + vX_[8084] * -0.5824264 + vX_[8074] * -5.1e-05 + (0 - vX_[8087]) * -0.123672 +
+ (0 - vX_[8089]) * 3.6e-05;
+ vX_[4100] = vX_[8087] * 0.022734;
+ vX_[1834] = vX_[1805] - vX_[1834] - vX_[4100];
+ vX_[1805] = vX_[8078] * vX_[205] + vX_[8050] * vX_[577] + vX_[8084] * vX_[528] + vX_[8087] * vX_[526] +
+ vX_[8089] * vX_[579];
+ vX_[1834] = vX_[7780] * vX_[195] + vX_[1783] * vX_[186] + vX_[831] * vX_[3339] + vX_[4392] * vX_[3838] +
+ vX_[1140] * vX_[4087] + vX_[8161] * vX_[824] + vX_[1834] * vX_[3807] + vX_[1834] * vX_[3807] -
+ vX_[1805] * x_in[30];
+ vX_[8139] = vX_[8139] * vX_[2018];
+ vX_[8161] = vX_[8139] * vX_[169];
+ vX_[8140] = vX_[8140] * vX_[2018];
+ vX_[4392] = vX_[8140] * vX_[167];
+ vX_[8141] = vX_[8141] * vX_[2018];
+ vX_[8111] = vX_[8111] * vX_[2013];
+ vX_[1789] = vX_[8111] * vX_[169];
+ vX_[8246] = vX_[8111] * vX_[167];
+ vX_[8127] = vX_[8127] * vX_[2025];
+ vX_[8159] = vX_[8127] * vX_[167];
+ vX_[8115] = vX_[8115] * vX_[2015];
+ vX_[7835] = vX_[8115] * vX_[169];
+ vX_[8113] = vX_[8113] * vX_[2013];
+ vX_[1795] = vX_[8113] * vX_[169];
+ vX_[2430] = 0 - vX_[1795];
+ vX_[9170] = vX_[8113] * vX_[167];
+ vX_[2691] = 0 - vX_[8246];
+ vX_[952] = vX_[8127] * vX_[169];
+ vX_[8128] = vX_[8128] * vX_[2025];
+ vX_[447] = 0 - vX_[8128];
+ vX_[8622] = vX_[447] * vX_[169];
+ vX_[8093] = vX_[8128] * vX_[167];
+ vX_[1760] = vX_[8139] + vX_[8115];
+ vX_[8116] = vX_[8116] * vX_[2015];
+ vX_[7577] = 0 - vX_[8140] - vX_[8116];
+ vX_[8628] = vX_[1760] * vX_[167] + vX_[7577] * vX_[169];
+ vX_[8106] = vX_[8116] * vX_[167];
+ vX_[8133] = vX_[8133] * vX_[2025] + vX_[8121] * vX_[2013];
+ vX_[8121] = 0 - vX_[8133];
+ vX_[8104] = 0 - vX_[8133];
+ vX_[1897] = vX_[8104] * vX_[169];
+ vX_[1921] = vX_[8133] * vX_[167];
+ vX_[9363] = vX_[8134] * vX_[1209] + vX_[8320] * vX_[1159] + vX_[8323] * vX_[1194];
+ vX_[9374] = 0 - vX_[9363];
+ vX_[9369] = vX_[8134] * vX_[1294] + vX_[8320] * vX_[1195] + vX_[8323] * vX_[1153];
+ vX_[7766] = vX_[9374] * x_in[18] + vX_[9369] * x_in[19];
+ vX_[1839] = 0 - vX_[7766];
+ vX_[1841] = 0 - vX_[7766];
+ vX_[1867] = vX_[1841] * vX_[169];
+ vX_[7758] = vX_[7766] * vX_[167];
+ vX_[8134] = vX_[8134] * vX_[1192] + vX_[8320] * vX_[1210] + vX_[8323] * vX_[1295];
+ jac[1149] = vX_[552] * vX_[1119] + vX_[8156] * vX_[797] + vX_[1803] * vX_[2026] + vX_[1797] * vX_[775] + vX_[7763] +
+ vX_[8134] * vX_[1214] + vX_[9363] * vX_[1165] + vX_[9369] * vX_[1198];
+ jac[1185] = vX_[441] * vX_[1968] + vX_[8181] * vX_[1930] + vX_[8110] * vX_[1653] + vX_[8112] * vX_[2915] +
+ vX_[1793] + vX_[8134] * vX_[1225] + vX_[9363] * vX_[1176] + vX_[9369] * vX_[1199];
+ vX_[8110] = vX_[8134] * x_in[32];
+ vX_[8112] = vX_[8110] * vX_[169];
+ vX_[1793] = vX_[8110] * vX_[167];
+ vX_[441] = vX_[8134] * x_in[31];
+ vX_[8181] = vX_[9363] * x_in[30];
+ vX_[1803] = 0 - vX_[8181];
+ vX_[1797] = vX_[441] * vX_[169];
+ vX_[7763] = 0 - vX_[8181];
+ vX_[552] = vX_[7763] * vX_[169];
+ vX_[8156] = vX_[441] * vX_[167];
+ vX_[8323] = vX_[8181] * vX_[167];
+ vX_[8320] = vX_[8145] * vX_[1180];
+ vX_[8295] = 0 - vX_[8320];
+ vX_[7775] = 0 - vX_[8320];
+ vX_[9371] = vX_[7775] * vX_[169];
+ vX_[9378] = vX_[8320] * vX_[167];
+ vX_[2815] = 0 - vX_[7719];
+ vX_[2785] = 0 - vX_[7554];
+ vX_[9085] = 0 - vX_[9085] + vX_[650];
+ vX_[650] = 0 - vX_[8194];
+ vX_[606] = 0 - vX_[606];
+ vX_[8105] = vX_[8105] * vX_[2013];
+ vX_[7956] = vX_[8105] * vX_[167];
+ vX_[8107] = vX_[8107] * vX_[2013];
+ vX_[1831] = 0 - vX_[8107];
+ vX_[9364] = vX_[1831] * vX_[169];
+ vX_[8109] = vX_[8109] * vX_[2013];
+ vX_[8126] = vX_[8126] * vX_[2025];
+ vX_[8142] = vX_[8142] * vX_[2018];
+ vX_[2777] = vX_[8142] * vX_[169];
+ vX_[9366] = vX_[8142] * vX_[167];
+ vX_[9084] = 0 - vX_[9366];
+ vX_[8131] = vX_[8131] * vX_[1124];
+ vX_[7762] = vX_[8131] * vX_[167];
+ vX_[8143] = vX_[8143] * vX_[2018];
+ vX_[7365] = vX_[8143] * vX_[169];
+ vX_[1549] = vX_[8143] * vX_[167];
+ vX_[8132] = vX_[8132] * vX_[1124];
+ vX_[7744] = 0 - vX_[8132];
+ vX_[7742] = vX_[7744] * vX_[169];
+ vX_[7740] = vX_[8105] + vX_[8131];
+ vX_[8132] = vX_[8107] + vX_[8132];
+ vX_[8107] = vX_[7740] * vX_[169] + vX_[8132] * vX_[167];
+ vX_[8129] = vX_[8129] * vX_[2025] + vX_[8120] * vX_[2018];
+ vX_[8120] = 0 - vX_[8129];
+ vX_[7737] = 0 - vX_[8129];
+ vX_[7728] = vX_[7737] * vX_[169];
+ vX_[3338] = vX_[8129] * vX_[167];
+ vX_[1725] = 0 - vX_[9369];
+ vX_[7849] = vX_[8134] * x_in[18] + vX_[1725] * x_in[20];
+ vX_[9118] = 0 - vX_[7849];
+ vX_[1748] = vX_[7849] * vX_[167];
+ vX_[3291] = vX_[8134] * x_in[30];
+ vX_[2086] = vX_[3291] * vX_[167];
+ vX_[1889] = vX_[9363] * x_in[32];
+ vX_[1964] = vX_[1889] * vX_[169];
+ vX_[604] = vX_[1889] * vX_[167];
+ vX_[1900] = vX_[9363] * x_in[31];
+ vX_[1913] = vX_[3291] * vX_[169];
+ vX_[1948] = vX_[1900] * vX_[169];
+ vX_[1413] = vX_[1900] * vX_[167];
+ vX_[3109] = vX_[8145] * vX_[1246];
+ vX_[1956] = 0 - vX_[3109];
+ vX_[1890] = 0 - vX_[7849];
+ vX_[3666] = 0 - vX_[3109];
+ vX_[1426] = vX_[1890] * vX_[169] + vX_[3666] * vX_[169];
+ vX_[637] = vX_[3109] * vX_[167];
+ jac[465] =
+ 0 -
+ (0 - (vX_[7987] * vX_[1621] + vX_[9169] * x_in[22]) +
+ (vX_[7979] * vX_[1621] + vX_[8247] * vX_[249] + vX_[9169] * x_in[20]) * 0.3735 -
+ (vX_[7989] * vX_[4058] + vX_[1732] * x_in[23]) + (vX_[7974] * vX_[4058] + vX_[1732] * x_in[19]) * -0.3735 +
+ (vX_[8005] * vX_[4058] +
+ (vX_[8185] * vX_[530] + vX_[8194] * vX_[583] + vX_[1931] * vX_[262] + vX_[7549] * vX_[264] +
+ vX_[7719] * vX_[234] + vX_[7554] * vX_[243] + vX_[1946] * vX_[246] + vX_[1910] * vX_[263] +
+ vX_[449] * vX_[252] + vX_[9064] * vX_[528] + vX_[8194] * vX_[580] + vX_[1949] * vX_[205] +
+ vX_[5] * vX_[535]) *
+ -1 +
+ vX_[1732] * x_in[18]) *
+ -0.207 -
+ (vX_[7979] * vX_[1314] + vX_[7974] * vX_[1268] + vX_[493] * vX_[707] + vX_[495] * vX_[705] +
+ vX_[504] * vX_[703] + vX_[494] * vX_[588] + vX_[1713] * vX_[252] + vX_[1717] * vX_[692] +
+ vX_[1720] * vX_[161] + vX_[7774] * vX_[234] + vX_[8182] * vX_[671] + vX_[8682] * vX_[646] +
+ vX_[1342] * vX_[270] + vX_[9025] * vX_[260] + vX_[9290] * vX_[672] + vX_[8695] * vX_[649] +
+ vX_[9303] * vX_[647] + vX_[9291] * vX_[582] + vX_[8177] * vX_[648] + vX_[8344] * vX_[645] +
+ vX_[1465] * vX_[259] + vX_[1505] * vX_[269] + vX_[6725] * vX_[589] + vX_[4248] * vX_[587] +
+ vX_[4930] * vX_[585] + vX_[448] * vX_[626] + vX_[465] * vX_[627] + vX_[5380] * vX_[536] +
+ vX_[7121] * vX_[532] + vX_[1562] * vX_[584] + vX_[8247] * vX_[250] + vX_[7925] * x_in[19] +
+ vX_[1834] * x_in[20]) +
+ vX_[8094] * vX_[2013] + vX_[8130] * vX_[1124] + vX_[8161] * vX_[166] + vX_[4392] * vX_[166] +
+ (0 - vX_[8141]) * 0.3735 + vX_[8141] * vX_[166] * -0.35 + vX_[1789] * 0.35 + vX_[1789] * vX_[186] * 0.08 +
+ vX_[1789] * vX_[166] * 0.3735 + vX_[8246] * vX_[186] * 0.3735 + vX_[8159] * vX_[186] * 0.207 +
+ vX_[7835] * vX_[166] + vX_[2430] * vX_[186] * 0.3735 + vX_[9170] * 0.35 +
+ (vX_[2691] * vX_[166] + vX_[9170] * vX_[186]) * 0.08 + vX_[9170] * vX_[166] * 0.3735 +
+ (vX_[952] * vX_[166] + vX_[8622] * vX_[186]) * 0.207 + vX_[8093] * vX_[166] * 0.207 + vX_[8628] * vX_[186] +
+ vX_[8106] * vX_[166] + (vX_[1795] * vX_[166] - vX_[8133]) * 0.08 + vX_[8121] * vX_[186] * 0.35 +
+ vX_[1897] * vX_[186] * 0.33 + vX_[1921] * vX_[166] * 0.33 + (0 - vX_[7766]) * 0.08 +
+ vX_[1839] * vX_[186] * 0.35 + vX_[1867] * vX_[186] * 0.33 + vX_[7758] * vX_[166] * 0.33 +
+ vX_[8112] * vX_[166] * 0.33 + vX_[1793] * vX_[186] * 0.33 + vX_[441] * vX_[166] * 0.35 +
+ (0 - vX_[8181]) * 0.08 + vX_[1803] * vX_[186] * 0.35 + (vX_[1797] * vX_[166] + vX_[552] * vX_[186]) * 0.33 +
+ (vX_[8156] * vX_[186] + vX_[8323] * vX_[166]) * 0.33 + (0 - vX_[8320]) * 0.08 +
+ vX_[8295] * vX_[186] * 0.35 + vX_[9371] * vX_[186] * 0.33 + vX_[9378] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[7989] * vX_[1621] + vX_[7979] * vX_[1268] + vX_[493] * vX_[703] + vX_[494] * vX_[252] +
+ vX_[1721] * vX_[161] + vX_[1717] * vX_[234] + vX_[8682] * vX_[649] + vX_[1342] * vX_[260] +
+ vX_[9290] * vX_[671] + vX_[9303] * vX_[648] + vX_[9291] * vX_[645] + vX_[1465] * vX_[269] +
+ vX_[6725] * vX_[585] + vX_[448] * vX_[627] + vX_[1306] * vX_[532] + vX_[5380] * vX_[584] +
+ (vX_[468] * vX_[581] + vX_[477] * vX_[214] + vX_[369] * vX_[264] + vX_[1824] * vX_[238] +
+ vX_[2734] * vX_[253] + vX_[2815] * vX_[237] + vX_[7695] * vX_[246] + vX_[2785] * vX_[234] +
+ vX_[9298] * vX_[252] + vX_[9085] * vX_[263] + vX_[468] * vX_[577] + vX_[650] * vX_[527] +
+ vX_[369] * vX_[268] + vX_[2734] * vX_[524]) *
+ 0.207 +
+ vX_[9169] * x_in[23] + vX_[7925] * x_in[20] +
+ (vX_[7974] * vX_[1621] + vX_[8247] * vX_[247] + vX_[9169] * x_in[19]) * 0.3735 +
+ (vX_[8005] * vX_[1621] + vX_[9169] * x_in[18]) * 0.207 - (vX_[7987] * vX_[4058] + vX_[1732] * x_in[22]) +
+ (vX_[7979] * vX_[4058] + vX_[1732] * x_in[20]) * 0.3735 -
+ (vX_[7974] * vX_[1314] + vX_[495] * vX_[704] + vX_[504] * vX_[707] + vX_[606] * vX_[588] +
+ vX_[1720] * vX_[234] + vX_[1730] * vX_[692] + vX_[8182] * vX_[672] + vX_[9025] * vX_[270] +
+ vX_[8695] * vX_[646] + vX_[8177] * vX_[647] + vX_[8344] * vX_[582] + vX_[1505] * vX_[259] +
+ vX_[4248] * vX_[586] + vX_[4930] * vX_[589] + vX_[480] * vX_[626] + vX_[7121] * vX_[584] +
+ vX_[5104] * vX_[536] + vX_[8247] * vX_[248] + vX_[1834] * x_in[19]) -
+ vX_[8138] * vX_[2018] + vX_[7956] * vX_[186] + vX_[9364] * vX_[186] + (0 - vX_[8109]) * 0.3735 +
+ vX_[8109] * vX_[166] * -0.35 + (0 - vX_[8126]) * 0.207 - vX_[8114] * vX_[2015] + (0 - vX_[2777]) * 0.35 +
+ (0 - vX_[2777] * vX_[186]) * 0.08 + vX_[2777] * vX_[166] * -0.3735 + vX_[9084] * vX_[186] * 0.3735 +
+ vX_[9366] * vX_[166] * 0.08 + vX_[7762] * vX_[186] + vX_[7365] * vX_[186] * 0.3735 +
+ (0 - vX_[7365] * vX_[166]) * 0.08 + (0 - vX_[1549]) * 0.35 + (0 - vX_[1549] * vX_[186]) * 0.08 +
+ vX_[1549] * vX_[166] * -0.3735 + vX_[7742] * vX_[186] + vX_[8107] * vX_[166] + vX_[8120] * vX_[186] * 0.35 +
+ vX_[7728] * vX_[186] * 0.33 + vX_[3338] * vX_[166] * 0.33 + (0 - vX_[7849]) * 0.08 +
+ vX_[9118] * vX_[186] * 0.35 + vX_[1748] * vX_[166] * 0.33 + (0 - vX_[8129] + vX_[3291]) * 0.08 +
+ vX_[3291] * vX_[186] * 0.35 + vX_[2086] * vX_[166] * -0.33 + vX_[1964] * vX_[166] * 0.33 +
+ vX_[604] * vX_[186] * 0.33 + vX_[1900] * vX_[166] * 0.35 +
+ (vX_[1913] * vX_[186] + vX_[1948] * vX_[166]) * 0.33 + vX_[1413] * vX_[186] * 0.33 +
+ (0 - vX_[3109]) * 0.08 + vX_[1956] * vX_[186] * 0.35 + vX_[1426] * vX_[186] * 0.33 +
+ vX_[637] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[504] = vX_[8535] * 0.881 + (0 - vX_[8537]) * -0.000881;
+ vX_[495] = vX_[8533] * -0.881;
+ vX_[493] = vX_[8537] * 0.110125;
+ vX_[1824] = vX_[495] - vX_[493];
+ vX_[1931] = vX_[504] * vX_[2915] + vX_[1824] * vX_[963];
+ vX_[8247] = vX_[8525] * 3.146 + (0 - vX_[8526]) * 0.0825825;
+ vX_[477] = vX_[8524] * -3.146;
+ vX_[465] = vX_[8526] * 0.47422804;
+ vX_[8177] = vX_[477] - vX_[465];
+ vX_[9303] = vX_[1931] + vX_[8247] * vX_[775] + vX_[8177] * vX_[1018];
+ vX_[8185] = vX_[8513] * 3.44 + vX_[8516] * -0.5824264;
+ vX_[480] = 0 - vX_[8185];
+ vX_[448] = vX_[8507] * 3.44 + (0 - vX_[8516]) * 0.1466472;
+ vX_[8344] = vX_[8507] * vX_[252] + vX_[8479] * vX_[234] + vX_[8513] * vX_[243] + vX_[8516] * vX_[528] +
+ vX_[8518] * vX_[580];
+ vX_[8695] = vX_[9303] * -1 + vX_[480] * vX_[4087] + vX_[448] * vX_[3807] + vX_[8344] * x_in[30];
+ vX_[8682] = vX_[7997] - vX_[8428];
+ vX_[9291] = vX_[8407] + vX_[1459];
+ vX_[9290] = vX_[8682] * vX_[249] + vX_[9291] * vX_[247];
+ vX_[8182] = vX_[9185] - vX_[8428];
+ vX_[7549] = vX_[8182] * vX_[249];
+ vX_[1505] = vX_[8682] * vX_[235] + vX_[9291] * vX_[249];
+ vX_[1342] = vX_[8182] * vX_[247];
+ vX_[1465] = vX_[1505] + vX_[1342];
+ vX_[9025] = vX_[9290] * vX_[235] + vX_[7549] * vX_[247] + vX_[1465] * vX_[249];
+ vX_[1562] = 0 - vX_[9025];
+ vX_[5104] = vX_[8428] + vX_[1505] * vX_[235] + vX_[7549] * vX_[249];
+ vX_[1306] = 0 - vX_[5104];
+ vX_[7121] = vX_[8428] + vX_[9290] * vX_[249] + vX_[1342] * vX_[247];
+ vX_[4248] = vX_[9187] + vX_[9193];
+ vX_[5380] = vX_[8410] + vX_[8421] - vX_[4248];
+ vX_[4930] = vX_[9177] + vX_[9192];
+ vX_[6725] = 0 - (vX_[8411] + vX_[8422]) + vX_[4930];
+ vX_[8138] = (vX_[4930] * vX_[235] + vX_[4248] * vX_[249]) * -1;
+ vX_[8130] = 0 - (vX_[5380] * vX_[249] + vX_[6725] * vX_[247]) + vX_[8138];
+ vX_[8114] = vX_[8130] + vX_[5104] * vX_[236];
+ vX_[8094] = 0 - vX_[8114];
+ vX_[1763] = (vX_[4930] * vX_[249] + vX_[4248] * vX_[247]) * -1;
+ vX_[8705] = vX_[5380] * vX_[235] + vX_[6725] * vX_[249] + vX_[1763];
+ vX_[9347] = 0 - vX_[7121];
+ vX_[618] = vX_[8705] + vX_[9025] * vX_[236] + vX_[9347] * vX_[165];
+ vX_[8862] = vX_[8414] + vX_[1650];
+ vX_[9345] = vX_[8409] + vX_[1615];
+ vX_[1693] = vX_[8862] * vX_[247] + vX_[9345] * vX_[249];
+ vX_[7347] = vX_[8404] + vX_[8424];
+ vX_[1689] = vX_[8413] + vX_[1546];
+ vX_[1696] = vX_[7347] * vX_[249] + vX_[1689] * vX_[247];
+ vX_[3644] = vX_[1693] * vX_[235] + vX_[1696] * vX_[249];
+ vX_[3329] = vX_[8387] + vX_[8260];
+ vX_[3515] = vX_[9198] + vX_[9195];
+ vX_[1941] = 0 - vX_[3515];
+ vX_[1943] = vX_[3329] * vX_[249] + vX_[1941] * vX_[247];
+ vX_[1716] = 0 - vX_[1943];
+ vX_[7353] = vX_[3644] + vX_[1716] * vX_[165] + vX_[1306] * vX_[251];
+ vX_[7336] = 0 - vX_[7353];
+ vX_[1894] = vX_[8862] * vX_[249] + vX_[9345] * vX_[235];
+ vX_[1735] = vX_[7347] * vX_[235] + vX_[1689] * vX_[249];
+ vX_[1684] = vX_[1894] * vX_[249] + vX_[1735] * vX_[247];
+ vX_[3515] = 0 - vX_[3515];
+ vX_[1740] = vX_[3329] * vX_[235] + vX_[3515] * vX_[249];
+ vX_[7498] = 0 - vX_[1740];
+ vX_[2377] = vX_[1684] + vX_[7498] * vX_[236] + vX_[7121] * vX_[251];
+ vX_[2370] = vX_[1894] * vX_[235] + vX_[1735] * vX_[249];
+ vX_[9048] = vX_[2370] + vX_[1943] * vX_[236];
+ vX_[909] = vX_[1693] * vX_[249] + vX_[1696] * vX_[247];
+ vX_[2402] = vX_[909] + vX_[1740] * vX_[165] + vX_[1562] * vX_[251];
+ vX_[7339] = 0 - vX_[9048] + vX_[2402];
+ vX_[3333] = 0 - vX_[9025];
+ vX_[1917] = 0 - vX_[5104];
+ vX_[1306] = vX_[1562] * vX_[583] + vX_[1306] * vX_[530] + vX_[7121] * vX_[214] + vX_[8094] * vX_[252] +
+ vX_[618] * vX_[263] + vX_[7336] * vX_[243] + vX_[2377] * vX_[237] + vX_[7339] * vX_[234] +
+ vX_[3333] * vX_[580] + vX_[9025] * vX_[577] + vX_[1917] * vX_[529] + vX_[7121] * vX_[533];
+ vX_[1562] = 0 - vX_[504];
+ vX_[3151] = vX_[8522] * 0.881 + (0 - vX_[8539]) * 0.110125 + vX_[8541] * -0.000881;
+ vX_[7331] = vX_[8533] * -0.00370574557885489 + vX_[8535] * 0.880970354035369;
+ vX_[3247] = vX_[1562] * vX_[789] + vX_[3151] * vX_[963] + vX_[7331] * x_in[32];
+ vX_[493] = 0 - vX_[495] + vX_[493];
+ vX_[495] = 0 - vX_[3151];
+ vX_[7348] = vX_[8533] * 0.417781802643138 + vX_[8535] * -0.00370574557885489;
+ vX_[2390] = vX_[493] * vX_[789] + vX_[495] * vX_[2915] - vX_[7348] * x_in[32];
+ vX_[2391] = 0 - vX_[8247];
+ vX_[6808] = vX_[8520] * 3.146 + (0 - vX_[8521]) * 0.47422804 + vX_[8531] * 0.0825825;
+ vX_[7102] = vX_[8524] * vX_[211] + vX_[8525] * vX_[210] + vX_[8521] * vX_[187] + vX_[8531] * vX_[185];
+ vX_[3231] = vX_[3247] * vX_[169] + vX_[2390] * vX_[167] + vX_[2391] * vX_[816] + vX_[6808] * vX_[1018] +
+ vX_[7102] * x_in[31];
+ vX_[465] = 0 - vX_[477] + vX_[465];
+ vX_[477] = 0 - vX_[6808];
+ vX_[2371] = vX_[8524] * vX_[209] + vX_[8525] * vX_[211] + vX_[8521] * vX_[193] + vX_[8531] * vX_[192];
+ vX_[2414] =
+ vX_[3247] * vX_[1069] + vX_[2390] * vX_[169] + vX_[465] * vX_[816] + vX_[477] * vX_[775] - vX_[2371] * x_in[31];
+ vX_[3245] = vX_[8479] * -3.44;
+ vX_[2415] = vX_[8503] * 0.1466472;
+ vX_[2372] = vX_[8518] * -0.5824264;
+ vX_[7335] = 0 - vX_[3245] + vX_[2415] - vX_[2372];
+ vX_[6938] = 0 - vX_[448];
+ vX_[2376] = vX_[8507] * vX_[263] + vX_[8479] * vX_[237] + vX_[8513] * vX_[234] + vX_[8516] * vX_[577] +
+ vX_[8518] * vX_[527];
+ vX_[7317] = vX_[3231] * vX_[1065] + vX_[2414] * vX_[186] + vX_[7335] * vX_[4087] + vX_[6938] * vX_[824] -
+ vX_[2376] * x_in[30];
+ vX_[7315] = vX_[7997] + vX_[9185] + vX_[8428] - vX_[5104] - vX_[7121];
+ vX_[7313] = 0 - vX_[7315];
+ vX_[8138] = vX_[8138] + vX_[7313] * vX_[236];
+ vX_[1763] = vX_[1763] + vX_[7315] * vX_[165];
+ vX_[7310] = 0 - vX_[618];
+ vX_[7301] = 0 - vX_[2377];
+ vX_[2766] = vX_[9197] + vX_[9194] + vX_[9345] + vX_[1689] - vX_[2370] - vX_[909];
+ vX_[2402] = vX_[2766] - vX_[2402];
+ vX_[2393] = 0 - vX_[1943];
+ vX_[3221] = 0 - vX_[9025];
+ vX_[2772] = 0 - vX_[7121];
+ vX_[2363] = vX_[1454] - vX_[8423];
+ vX_[8763] = vX_[7990] - vX_[8423];
+ vX_[1932] = vX_[8417] + vX_[1541];
+ vX_[3442] = vX_[8415] + vX_[2899];
+ vX_[2774] = vX_[8412] + vX_[2880];
+ vX_[7916] = 0 - vX_[2774];
+ vX_[2394] = vX_[2363] * vX_[249] + vX_[1932] * vX_[247];
+ vX_[2932] = vX_[8763] * vX_[249];
+ vX_[2360] = vX_[2363] * vX_[235] + vX_[1932] * vX_[249];
+ vX_[2770] = vX_[8763] * vX_[247];
+ vX_[3686] = vX_[2360] + vX_[2770];
+ vX_[2365] = vX_[8522] * -0.000881 + vX_[8541] * -0.000227999999999999;
+ vX_[1682] = vX_[8522] * 0.110125 + (0 - vX_[8539]) * 0.025713;
+ vX_[8806] = (0 - vX_[8533]) * -0.000881;
+ vX_[2408] = (0 - vX_[8535]) * 0.110125;
+ vX_[8624] = vX_[8806] + vX_[2408];
+ vX_[8624] = vX_[1562] * vX_[1930] + vX_[493] * vX_[2925] + vX_[2365] * vX_[2915] + vX_[1682] * vX_[963] +
+ vX_[8624] * vX_[789] + vX_[8624] * vX_[789];
+ vX_[493] = vX_[8520] * 0.0825825 + (0 - vX_[8526]) * -0.000102 + vX_[8521] * -0.007418 + vX_[8531] * 0.002735;
+ vX_[1562] = vX_[8520] * 0.47422804 + vX_[8526] * 2.1e-05 + (0 - vX_[8521]) * 0.084376 + (0 - vX_[8531]) * -0.007418;
+ vX_[8775] = (0 - vX_[8524]) * 0.0825825;
+ vX_[2385] = (0 - vX_[8525]) * 0.47422804;
+ vX_[9128] = vX_[8521] * -0.000102;
+ vX_[8804] = (0 - vX_[8531]) * 2.1e-05;
+ vX_[8764] = vX_[8775] + vX_[2385] + vX_[9128] + vX_[8804];
+ vX_[8764] = vX_[8624] + vX_[3247] * vX_[1077] + vX_[2390] * vX_[168] + vX_[2391] * vX_[797] + vX_[465] * vX_[2924] +
+ vX_[493] * vX_[775] + vX_[1562] * vX_[1018] + vX_[8764] * vX_[816] + vX_[8764] * vX_[816];
+ vX_[465] = vX_[8479] * -0.5824264 + (0 - vX_[8503]) * 0.022734 + vX_[8516] * 3.6e-05 + vX_[8518] * -0.133138;
+ vX_[2391] = vX_[8479] * 0.1466472 + vX_[8503] * 0.009466 + (0 - vX_[8516]) * -5.1e-05 + vX_[8518] * 0.022734;
+ vX_[2380] = (0 - vX_[8507]) * -0.5824264;
+ vX_[2418] = (0 - vX_[8513]) * 0.1466472;
+ vX_[6920] = (0 - vX_[8503]) * 3.6e-05;
+ vX_[2407] = (0 - vX_[8518]) * -5.1e-05;
+ vX_[2404] = vX_[2380] + vX_[2418] + vX_[6920] - vX_[2407];
+ vX_[8728] = vX_[8507] * vX_[268] + vX_[8479] * vX_[527] + vX_[8513] * vX_[580] + vX_[8516] * vX_[579] +
+ vX_[8518] * vX_[231];
+ vX_[2404] = vX_[3231] * vX_[1066] + vX_[2414] * vX_[201] + vX_[8764] * -1 + vX_[8185] * vX_[3339] +
+ vX_[6938] * vX_[806] + vX_[465] * vX_[4087] + vX_[2391] * vX_[3807] + vX_[2404] * vX_[824] +
+ vX_[2404] * vX_[824] + vX_[8728] * x_in[30];
+ vX_[8537] = vX_[8533] * 0.110125 + vX_[8535] * -0.000881 + vX_[8537] * 0.025941;
+ vX_[8541] = vX_[8522] * -0.000881 + vX_[8541] * 0.000468;
+ vX_[2408] = vX_[504] * vX_[812] + vX_[495] * vX_[2925] + vX_[2365] * vX_[789] + vX_[8537] * vX_[963] +
+ vX_[2408] * vX_[2915] + vX_[2408] * vX_[2915] + vX_[8541] * x_in[32];
+ vX_[8539] = vX_[8522] * -0.110125 + vX_[8539] * 0.026409;
+ vX_[8537] = vX_[1824] * vX_[812] + vX_[3151] * vX_[1930] + vX_[1682] * vX_[789] + vX_[8537] * vX_[2915] +
+ vX_[8806] * vX_[963] + vX_[8806] * vX_[963] - vX_[8539] * x_in[32];
+ vX_[8806] = vX_[8524] * 0.47422804 + vX_[8525] * 0.0825825 + vX_[8526] * 0.081641 + (0 - vX_[8521]) * 2.1e-05 +
+ vX_[8531] * -0.000102;
+ vX_[1682] = (0 - vX_[8526]) * -0.007418;
+ vX_[8804] = vX_[2385] + vX_[1682] - vX_[8804];
+ vX_[2385] = vX_[8520] * vX_[180] + vX_[8524] * vX_[192] + vX_[8525] * vX_[185] + vX_[8521] * vX_[226] +
+ vX_[8531] * vX_[222];
+ vX_[8804] = vX_[1931] * -0.35 + vX_[2408] * vX_[169] + vX_[8537] * vX_[167] + vX_[8247] * vX_[968] +
+ vX_[477] * vX_[2924] + vX_[493] * vX_[816] + vX_[8806] * vX_[1018] + vX_[8804] * vX_[775] +
+ vX_[8804] * vX_[775] + vX_[2385] * x_in[31];
+ vX_[1682] = vX_[8775] - vX_[1682] - vX_[9128];
+ vX_[9128] = vX_[8520] * vX_[189] + vX_[8524] * vX_[193] + vX_[8525] * vX_[187] + vX_[8521] * vX_[220] +
+ vX_[8531] * vX_[226];
+ vX_[1682] = vX_[2408] * vX_[175] + vX_[8537] * vX_[169] + vX_[8177] * vX_[968] + vX_[6808] * vX_[797] +
+ vX_[1562] * vX_[816] + vX_[8806] * vX_[775] + vX_[1682] * vX_[1018] + vX_[1682] * vX_[1018] -
+ vX_[9128] * x_in[31];
+ vX_[2372] = vX_[3245] - vX_[2415] + vX_[2372];
+ vX_[2415] = vX_[8507] * 0.1466472 + vX_[8513] * -0.5824264 + vX_[8503] * -5.1e-05 + (0 - vX_[8516]) * -0.123672 +
+ (0 - vX_[8518]) * 3.6e-05;
+ vX_[3245] = vX_[8516] * 0.022734;
+ vX_[6920] = vX_[2380] - vX_[6920] - vX_[3245];
+ vX_[2380] = vX_[8507] * vX_[205] + vX_[8479] * vX_[577] + vX_[8513] * vX_[528] + vX_[8516] * vX_[526] +
+ vX_[8518] * vX_[579];
+ vX_[6920] = vX_[8804] * vX_[195] + vX_[1682] * vX_[186] + vX_[2372] * vX_[3339] + vX_[448] * vX_[3838] +
+ vX_[2415] * vX_[4087] + vX_[2391] * vX_[824] + vX_[6920] * vX_[3807] + vX_[6920] * vX_[3807] -
+ vX_[2380] * x_in[30];
+ vX_[8568] = vX_[8568] * vX_[2018];
+ vX_[2391] = vX_[8568] * vX_[169];
+ vX_[8569] = vX_[8569] * vX_[2018];
+ vX_[448] = vX_[8569] * vX_[167];
+ vX_[8570] = vX_[8570] * vX_[2018];
+ vX_[8540] = vX_[8540] * vX_[2013];
+ vX_[8806] = vX_[8540] * vX_[169];
+ vX_[1562] = vX_[8540] * vX_[167];
+ vX_[8556] = vX_[8556] * vX_[2025];
+ vX_[6808] = vX_[8556] * vX_[167];
+ vX_[8544] = vX_[8544] * vX_[2015];
+ vX_[8177] = vX_[8544] * vX_[169];
+ vX_[8542] = vX_[8542] * vX_[2013];
+ vX_[8775] = vX_[8542] * vX_[169];
+ vX_[493] = 0 - vX_[8775];
+ vX_[477] = vX_[8542] * vX_[167];
+ vX_[8247] = 0 - vX_[1562];
+ vX_[1931] = vX_[8556] * vX_[169];
+ vX_[8557] = vX_[8557] * vX_[2025];
+ vX_[3151] = 0 - vX_[8557];
+ vX_[1824] = vX_[3151] * vX_[169];
+ vX_[8522] = vX_[8557] * vX_[167];
+ vX_[2365] = vX_[8568] + vX_[8544];
+ vX_[8545] = vX_[8545] * vX_[2015];
+ vX_[495] = 0 - vX_[8569] - vX_[8545];
+ vX_[504] = vX_[2365] * vX_[167] + vX_[495] * vX_[169];
+ vX_[8535] = vX_[8545] * vX_[167];
+ vX_[8562] = vX_[8562] * vX_[2025] + vX_[8550] * vX_[2013];
+ vX_[8550] = 0 - vX_[8562];
+ vX_[8533] = 0 - vX_[8562];
+ vX_[6938] = vX_[8533] * vX_[169];
+ vX_[8656] = vX_[8562] * vX_[167];
+ vX_[8639] = vX_[8563] * vX_[1209] + vX_[8749] * vX_[1159] + vX_[8752] * vX_[1194];
+ vX_[8578] = 0 - vX_[8639];
+ vX_[8566] = vX_[8563] * vX_[1294] + vX_[8749] * vX_[1195] + vX_[8752] * vX_[1153];
+ vX_[8582] = vX_[8578] * x_in[18] + vX_[8566] * x_in[19];
+ vX_[6926] = 0 - vX_[8582];
+ vX_[6909] = 0 - vX_[8582];
+ vX_[2400] = vX_[6909] * vX_[169];
+ vX_[2399] = vX_[8582] * vX_[167];
+ vX_[8563] = vX_[8563] * vX_[1192] + vX_[8749] * vX_[1210] + vX_[8752] * vX_[1295];
+ jac[1150] = vX_[2371] * vX_[1119] + vX_[7102] * vX_[797] + vX_[9128] * vX_[2026] + vX_[2385] * vX_[775] +
+ vX_[8764] + vX_[8563] * vX_[1214] + vX_[8639] * vX_[1165] + vX_[8566] * vX_[1198];
+ jac[1186] = vX_[7348] * vX_[1968] + vX_[7331] * vX_[1930] + vX_[8539] * vX_[1653] + vX_[8541] * vX_[2915] +
+ vX_[8624] + vX_[8563] * vX_[1225] + vX_[8639] * vX_[1176] + vX_[8566] * vX_[1199];
+ vX_[8539] = vX_[8563] * x_in[32];
+ vX_[8541] = vX_[8539] * vX_[169];
+ vX_[8624] = vX_[8539] * vX_[167];
+ vX_[7348] = vX_[8563] * x_in[31];
+ vX_[7331] = vX_[8639] * x_in[30];
+ vX_[9128] = 0 - vX_[7331];
+ vX_[2385] = vX_[7348] * vX_[169];
+ vX_[8764] = 0 - vX_[7331];
+ vX_[2371] = vX_[8764] * vX_[169];
+ vX_[7102] = vX_[7348] * vX_[167];
+ vX_[8752] = vX_[7331] * vX_[167];
+ vX_[8749] = vX_[8574] * vX_[1180];
+ vX_[2358] = 0 - vX_[8749];
+ vX_[2357] = 0 - vX_[8749];
+ vX_[7071] = vX_[2357] * vX_[169];
+ vX_[2804] = vX_[8749] * vX_[167];
+ vX_[7862] = 0 - vX_[8138];
+ vX_[7718] = 0 - vX_[1763];
+ vX_[2766] = 0 - vX_[2766] + vX_[9048];
+ vX_[9048] = 0 - vX_[1740];
+ vX_[2774] = 0 - vX_[2774];
+ vX_[8534] = vX_[8534] * vX_[2013];
+ vX_[6276] = vX_[8534] * vX_[167];
+ vX_[8536] = vX_[8536] * vX_[2013];
+ vX_[2800] = 0 - vX_[8536];
+ vX_[6912] = vX_[2800] * vX_[169];
+ vX_[8538] = vX_[8538] * vX_[2013];
+ vX_[8555] = vX_[8555] * vX_[2025];
+ vX_[8571] = vX_[8571] * vX_[2018];
+ vX_[8922] = vX_[8571] * vX_[169];
+ vX_[8920] = vX_[8571] * vX_[167];
+ vX_[2420] = 0 - vX_[8920];
+ vX_[8560] = vX_[8560] * vX_[1124];
+ vX_[6904] = vX_[8560] * vX_[167];
+ vX_[8572] = vX_[8572] * vX_[2018];
+ vX_[4005] = vX_[8572] * vX_[169];
+ vX_[6921] = vX_[8572] * vX_[167];
+ vX_[8561] = vX_[8561] * vX_[1124];
+ vX_[2799] = 0 - vX_[8561];
+ vX_[6281] = vX_[2799] * vX_[169];
+ vX_[6614] = vX_[8534] + vX_[8560];
+ vX_[8561] = vX_[8536] + vX_[8561];
+ vX_[8536] = vX_[6614] * vX_[169] + vX_[8561] * vX_[167];
+ vX_[8558] = vX_[8558] * vX_[2025] + vX_[8549] * vX_[2018];
+ vX_[8549] = 0 - vX_[8558];
+ vX_[4003] = 0 - vX_[8558];
+ vX_[3598] = vX_[4003] * vX_[169];
+ vX_[2807] = vX_[8558] * vX_[167];
+ vX_[7657] = 0 - vX_[8566];
+ vX_[3365] = vX_[8563] * x_in[18] + vX_[7657] * x_in[20];
+ vX_[7645] = 0 - vX_[3365];
+ vX_[7864] = vX_[3365] * vX_[167];
+ vX_[6908] = vX_[8563] * x_in[30];
+ vX_[6519] = vX_[6908] * vX_[167];
+ vX_[2806] = vX_[8639] * x_in[32];
+ vX_[6890] = vX_[2806] * vX_[169];
+ vX_[6888] = vX_[2806] * vX_[167];
+ vX_[6886] = vX_[8639] * x_in[31];
+ vX_[6883] = vX_[6908] * vX_[169];
+ vX_[6874] = vX_[6886] * vX_[169];
+ vX_[3207] = vX_[6886] * vX_[167];
+ vX_[1257] = vX_[8574] * vX_[1246];
+ vX_[6935] = 0 - vX_[1257];
+ vX_[6269] = 0 - vX_[3365];
+ vX_[2816] = 0 - vX_[1257];
+ vX_[7380] = vX_[6269] * vX_[169] + vX_[2816] * vX_[169];
+ vX_[3199] = vX_[1257] * vX_[167];
+ jac[466] =
+ 0 -
+ (0 - (vX_[8416] * vX_[1621] + vX_[8695] * x_in[22]) +
+ (vX_[8408] * vX_[1621] + vX_[1306] * vX_[249] + vX_[8695] * x_in[20]) * 0.3735 -
+ (vX_[8418] * vX_[4058] + vX_[7317] * x_in[23]) + (vX_[8403] * vX_[4058] + vX_[7317] * x_in[19]) * -0.3735 +
+ (vX_[8434] * vX_[4058] +
+ (vX_[1716] * vX_[530] + vX_[1740] * vX_[583] + vX_[7315] * vX_[262] + vX_[9347] * vX_[264] +
+ vX_[8138] * vX_[234] + vX_[1763] * vX_[243] + vX_[7310] * vX_[246] + vX_[7301] * vX_[263] +
+ vX_[2402] * vX_[252] + vX_[2393] * vX_[528] + vX_[1740] * vX_[580] + vX_[3221] * vX_[205] +
+ vX_[2772] * vX_[535]) *
+ -1 +
+ vX_[7317] * x_in[18]) *
+ -0.207 -
+ (vX_[8408] * vX_[1314] + vX_[8403] * vX_[1268] + vX_[2363] * vX_[707] + vX_[8763] * vX_[705] +
+ vX_[1932] * vX_[703] + vX_[3442] * vX_[588] + vX_[7916] * vX_[252] + vX_[2394] * vX_[692] +
+ vX_[2932] * vX_[161] + vX_[3686] * vX_[234] + vX_[8862] * vX_[671] + vX_[7347] * vX_[646] +
+ vX_[4930] * vX_[270] + vX_[4248] * vX_[260] + vX_[9345] * vX_[672] + vX_[1689] * vX_[649] +
+ vX_[1894] * vX_[647] + vX_[1693] * vX_[582] + vX_[1735] * vX_[648] + vX_[1696] * vX_[645] +
+ vX_[5380] * vX_[259] + vX_[6725] * vX_[269] + vX_[8682] * vX_[589] + vX_[8182] * vX_[587] +
+ vX_[9291] * vX_[585] + vX_[3329] * vX_[626] + vX_[3515] * vX_[627] + vX_[9290] * vX_[536] +
+ vX_[7549] * vX_[532] + vX_[1465] * vX_[584] + vX_[1306] * vX_[250] + vX_[2404] * x_in[19] +
+ vX_[6920] * x_in[20]) +
+ vX_[8523] * vX_[2013] + vX_[8559] * vX_[1124] + vX_[2391] * vX_[166] + vX_[448] * vX_[166] +
+ (0 - vX_[8570]) * 0.3735 + vX_[8570] * vX_[166] * -0.35 + vX_[8806] * 0.35 + vX_[8806] * vX_[186] * 0.08 +
+ vX_[8806] * vX_[166] * 0.3735 + vX_[1562] * vX_[186] * 0.3735 + vX_[6808] * vX_[186] * 0.207 +
+ vX_[8177] * vX_[166] + vX_[493] * vX_[186] * 0.3735 + vX_[477] * 0.35 +
+ (vX_[8247] * vX_[166] + vX_[477] * vX_[186]) * 0.08 + vX_[477] * vX_[166] * 0.3735 +
+ (vX_[1931] * vX_[166] + vX_[1824] * vX_[186]) * 0.207 + vX_[8522] * vX_[166] * 0.207 + vX_[504] * vX_[186] +
+ vX_[8535] * vX_[166] + (vX_[8775] * vX_[166] - vX_[8562]) * 0.08 + vX_[8550] * vX_[186] * 0.35 +
+ vX_[6938] * vX_[186] * 0.33 + vX_[8656] * vX_[166] * 0.33 + (0 - vX_[8582]) * 0.08 +
+ vX_[6926] * vX_[186] * 0.35 + vX_[2400] * vX_[186] * 0.33 + vX_[2399] * vX_[166] * 0.33 +
+ vX_[8541] * vX_[166] * 0.33 + vX_[8624] * vX_[186] * 0.33 + vX_[7348] * vX_[166] * 0.35 +
+ (0 - vX_[7331]) * 0.08 + vX_[9128] * vX_[186] * 0.35 +
+ (vX_[2385] * vX_[166] + vX_[2371] * vX_[186]) * 0.33 +
+ (vX_[7102] * vX_[186] + vX_[8752] * vX_[166]) * 0.33 + (0 - vX_[8749]) * 0.08 +
+ vX_[2358] * vX_[186] * 0.35 + vX_[7071] * vX_[186] * 0.33 + vX_[2804] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[8418] * vX_[1621] + vX_[8408] * vX_[1268] + vX_[2363] * vX_[703] + vX_[3442] * vX_[252] +
+ vX_[2360] * vX_[161] + vX_[2394] * vX_[234] + vX_[7347] * vX_[649] + vX_[4930] * vX_[260] +
+ vX_[9345] * vX_[671] + vX_[1894] * vX_[648] + vX_[1693] * vX_[645] + vX_[5380] * vX_[269] +
+ vX_[8682] * vX_[585] + vX_[3329] * vX_[627] + vX_[1505] * vX_[532] + vX_[9290] * vX_[584] +
+ (vX_[1943] * vX_[581] + vX_[7498] * vX_[214] + vX_[9025] * vX_[264] + vX_[7313] * vX_[238] +
+ vX_[5104] * vX_[253] + vX_[7862] * vX_[237] + vX_[8114] * vX_[246] + vX_[7718] * vX_[234] +
+ vX_[7353] * vX_[252] + vX_[2766] * vX_[263] + vX_[1943] * vX_[577] + vX_[9048] * vX_[527] +
+ vX_[9025] * vX_[268] + vX_[5104] * vX_[524]) *
+ 0.207 +
+ vX_[8695] * x_in[23] + vX_[2404] * x_in[20] +
+ (vX_[8403] * vX_[1621] + vX_[1306] * vX_[247] + vX_[8695] * x_in[19]) * 0.3735 +
+ (vX_[8434] * vX_[1621] + vX_[8695] * x_in[18]) * 0.207 - (vX_[8416] * vX_[4058] + vX_[7317] * x_in[22]) +
+ (vX_[8408] * vX_[4058] + vX_[7317] * x_in[20]) * 0.3735 -
+ (vX_[8403] * vX_[1314] + vX_[8763] * vX_[704] + vX_[1932] * vX_[707] + vX_[2774] * vX_[588] +
+ vX_[2932] * vX_[234] + vX_[2770] * vX_[692] + vX_[8862] * vX_[672] + vX_[4248] * vX_[270] +
+ vX_[1689] * vX_[646] + vX_[1735] * vX_[647] + vX_[1696] * vX_[582] + vX_[6725] * vX_[259] +
+ vX_[8182] * vX_[586] + vX_[9291] * vX_[589] + vX_[1941] * vX_[626] + vX_[7549] * vX_[584] +
+ vX_[1342] * vX_[536] + vX_[1306] * vX_[248] + vX_[6920] * x_in[19]) -
+ vX_[8567] * vX_[2018] + vX_[6276] * vX_[186] + vX_[6912] * vX_[186] + (0 - vX_[8538]) * 0.3735 +
+ vX_[8538] * vX_[166] * -0.35 + (0 - vX_[8555]) * 0.207 - vX_[8543] * vX_[2015] + (0 - vX_[8922]) * 0.35 +
+ (0 - vX_[8922] * vX_[186]) * 0.08 + vX_[8922] * vX_[166] * -0.3735 + vX_[2420] * vX_[186] * 0.3735 +
+ vX_[8920] * vX_[166] * 0.08 + vX_[6904] * vX_[186] + vX_[4005] * vX_[186] * 0.3735 +
+ (0 - vX_[4005] * vX_[166]) * 0.08 + (0 - vX_[6921]) * 0.35 + (0 - vX_[6921] * vX_[186]) * 0.08 +
+ vX_[6921] * vX_[166] * -0.3735 + vX_[6281] * vX_[186] + vX_[8536] * vX_[166] + vX_[8549] * vX_[186] * 0.35 +
+ vX_[3598] * vX_[186] * 0.33 + vX_[2807] * vX_[166] * 0.33 + (0 - vX_[3365]) * 0.08 +
+ vX_[7645] * vX_[186] * 0.35 + vX_[7864] * vX_[166] * 0.33 + (0 - vX_[8558] + vX_[6908]) * 0.08 +
+ vX_[6908] * vX_[186] * 0.35 + vX_[6519] * vX_[166] * -0.33 + vX_[6890] * vX_[166] * 0.33 +
+ vX_[6888] * vX_[186] * 0.33 + vX_[6886] * vX_[166] * 0.35 +
+ (vX_[6883] * vX_[186] + vX_[6874] * vX_[166]) * 0.33 + vX_[3207] * vX_[186] * 0.33 +
+ (0 - vX_[1257]) * 0.08 + vX_[6935] * vX_[186] * 0.35 + vX_[7380] * vX_[186] * 0.33 +
+ vX_[3199] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[1932] = vX_[8955] * 0.881 + (0 - vX_[8957]) * -0.000881;
+ vX_[8763] = vX_[8953] * -0.881;
+ vX_[2363] = vX_[8957] * 0.110125;
+ vX_[7313] = vX_[8763] - vX_[2363];
+ vX_[7315] = vX_[1932] * vX_[2915] + vX_[7313] * vX_[963];
+ vX_[1306] = vX_[8945] * 3.146 + (0 - vX_[8946]) * 0.0825825;
+ vX_[7498] = vX_[8944] * -3.146;
+ vX_[3515] = vX_[8946] * 0.47422804;
+ vX_[1735] = vX_[7498] - vX_[3515];
+ vX_[1894] = vX_[7315] + vX_[1306] * vX_[775] + vX_[1735] * vX_[1018];
+ vX_[1716] = vX_[1037] * 3.44 + vX_[8932] * -0.5824264;
+ vX_[1941] = 0 - vX_[1716];
+ vX_[3329] = vX_[892] * 3.44 + (0 - vX_[8932]) * 0.1466472;
+ vX_[1696] =
+ vX_[892] * vX_[252] + vX_[997] * vX_[234] + vX_[1037] * vX_[243] + vX_[8932] * vX_[528] + vX_[8936] * vX_[580];
+ vX_[1689] = vX_[1894] * -1 + vX_[1941] * vX_[4087] + vX_[3329] * vX_[3807] + vX_[1696] * x_in[30];
+ vX_[7347] = vX_[682] - vX_[8817];
+ vX_[1693] = vX_[8836] + vX_[664];
+ vX_[9345] = vX_[7347] * vX_[249] + vX_[1693] * vX_[247];
+ vX_[8862] = vX_[1083] - vX_[8817];
+ vX_[9347] = vX_[8862] * vX_[249];
+ vX_[6725] = vX_[7347] * vX_[235] + vX_[1693] * vX_[249];
+ vX_[4930] = vX_[8862] * vX_[247];
+ vX_[5380] = vX_[6725] + vX_[4930];
+ vX_[4248] = vX_[9345] * vX_[235] + vX_[9347] * vX_[247] + vX_[5380] * vX_[249];
+ vX_[1465] = 0 - vX_[4248];
+ vX_[1342] = vX_[8817] + vX_[6725] * vX_[235] + vX_[9347] * vX_[249];
+ vX_[1505] = 0 - vX_[1342];
+ vX_[7549] = vX_[8817] + vX_[9345] * vX_[249] + vX_[4930] * vX_[247];
+ vX_[8182] = vX_[4108] + vX_[9319];
+ vX_[9290] = vX_[8839] + vX_[731] - vX_[8182];
+ vX_[9291] = vX_[4116] + vX_[8669];
+ vX_[8682] = 0 - (vX_[8840] + vX_[737]) + vX_[9291];
+ vX_[8567] = (vX_[9291] * vX_[235] + vX_[8182] * vX_[249]) * -1;
+ vX_[8559] = 0 - (vX_[9290] * vX_[249] + vX_[8682] * vX_[247]) + vX_[8567];
+ vX_[8543] = vX_[8559] + vX_[1342] * vX_[236];
+ vX_[8523] = 0 - vX_[8543];
+ vX_[3212] = (vX_[9291] * vX_[249] + vX_[8182] * vX_[247]) * -1;
+ vX_[6431] = vX_[9290] * vX_[235] + vX_[8682] * vX_[249] + vX_[3212];
+ vX_[3184] = 0 - vX_[7549];
+ vX_[946] = vX_[6431] + vX_[4248] * vX_[236] + vX_[3184] * vX_[165];
+ vX_[3241] = vX_[8843] + vX_[9206];
+ vX_[7234] = vX_[8838] + vX_[718];
+ vX_[3244] = vX_[3241] * vX_[247] + vX_[7234] * vX_[249];
+ vX_[2784] = vX_[8833] + vX_[801];
+ vX_[3242] = vX_[8842] + vX_[8853];
+ vX_[7033] = vX_[2784] * vX_[249] + vX_[3242] * vX_[247];
+ vX_[2794] = vX_[3244] * vX_[235] + vX_[7033] * vX_[249];
+ vX_[2819] = vX_[3689] + vX_[725];
+ vX_[2757] = vX_[3708] + vX_[9321];
+ vX_[7958] = 0 - vX_[2757];
+ vX_[7961] = vX_[2819] * vX_[249] + vX_[7958] * vX_[247];
+ vX_[2820] = 0 - vX_[7961];
+ vX_[2529] = vX_[2794] + vX_[2820] * vX_[165] + vX_[1505] * vX_[251];
+ vX_[1251] = 0 - vX_[2529];
+ vX_[8758] = vX_[3241] * vX_[249] + vX_[7234] * vX_[235];
+ vX_[2532] = vX_[2784] * vX_[235] + vX_[3242] * vX_[249];
+ vX_[6501] = vX_[8758] * vX_[249] + vX_[2532] * vX_[247];
+ vX_[2757] = 0 - vX_[2757];
+ vX_[8377] = vX_[2819] * vX_[235] + vX_[2757] * vX_[249];
+ vX_[2765] = 0 - vX_[8377];
+ vX_[8345] = vX_[6501] + vX_[2765] * vX_[236] + vX_[7549] * vX_[251];
+ vX_[8303] = vX_[8758] * vX_[235] + vX_[2532] * vX_[249];
+ vX_[2927] = vX_[8303] + vX_[7961] * vX_[236];
+ vX_[2935] = vX_[3244] * vX_[249] + vX_[7033] * vX_[247];
+ vX_[1193] = vX_[2935] + vX_[8377] * vX_[165] + vX_[1465] * vX_[251];
+ vX_[2378] = 0 - vX_[2927] + vX_[1193];
+ vX_[6507] = 0 - vX_[4248];
+ vX_[6490] = 0 - vX_[1342];
+ vX_[1505] = vX_[1465] * vX_[583] + vX_[1505] * vX_[530] + vX_[7549] * vX_[214] + vX_[8523] * vX_[252] +
+ vX_[946] * vX_[263] + vX_[1251] * vX_[243] + vX_[8345] * vX_[237] + vX_[2378] * vX_[234] +
+ vX_[6507] * vX_[580] + vX_[4248] * vX_[577] + vX_[6490] * vX_[529] + vX_[7549] * vX_[533];
+ vX_[1465] = 0 - vX_[1932];
+ vX_[533] = vX_[8942] * 0.881 + (0 - vX_[8959]) * 0.110125 + vX_[8961] * -0.000881;
+ vX_[529] = vX_[8953] * -0.00370574557885489 + vX_[8955] * 0.880970354035369;
+ vX_[8306] = vX_[1465] * vX_[789] + vX_[533] * vX_[963] + vX_[529] * x_in[32];
+ vX_[2363] = 0 - vX_[8763] + vX_[2363];
+ vX_[8763] = 0 - vX_[533];
+ vX_[2530] = vX_[8953] * 0.417781802643138 + vX_[8955] * -0.00370574557885489;
+ vX_[8984] = vX_[2363] * vX_[789] + vX_[8763] * vX_[2915] - vX_[2530] * x_in[32];
+ vX_[2763] = 0 - vX_[1306];
+ vX_[6652] = vX_[8940] * 3.146 + (0 - vX_[8941]) * 0.47422804 + vX_[8951] * 0.0825825;
+ vX_[3192] = vX_[8944] * vX_[211] + vX_[8945] * vX_[210] + vX_[8941] * vX_[187] + vX_[8951] * vX_[185];
+ vX_[3187] = vX_[8306] * vX_[169] + vX_[8984] * vX_[167] + vX_[2763] * vX_[816] + vX_[6652] * vX_[1018] +
+ vX_[3192] * x_in[31];
+ vX_[3515] = 0 - vX_[7498] + vX_[3515];
+ vX_[7498] = 0 - vX_[6652];
+ vX_[2369] = vX_[8944] * vX_[209] + vX_[8945] * vX_[211] + vX_[8941] * vX_[193] + vX_[8951] * vX_[192];
+ vX_[1069] = vX_[8306] * vX_[1069] + vX_[8984] * vX_[169] + vX_[3515] * vX_[816] + vX_[7498] * vX_[775] -
+ vX_[2369] * x_in[31];
+ vX_[5846] = vX_[997] * -3.44;
+ vX_[7203] = vX_[8935] * 0.1466472;
+ vX_[6493] = vX_[8936] * -0.5824264;
+ vX_[3200] = 0 - vX_[5846] + vX_[7203] - vX_[6493];
+ vX_[3201] = 0 - vX_[3329];
+ vX_[3203] =
+ vX_[892] * vX_[263] + vX_[997] * vX_[237] + vX_[1037] * vX_[234] + vX_[8932] * vX_[577] + vX_[8936] * vX_[527];
+ vX_[6485] = vX_[3187] * vX_[1065] + vX_[1069] * vX_[186] + vX_[3200] * vX_[4087] + vX_[3201] * vX_[824] -
+ vX_[3203] * x_in[30];
+ vX_[4308] = vX_[682] + vX_[1083] + vX_[8817] - vX_[1342] - vX_[7549];
+ vX_[6502] = 0 - vX_[4308];
+ vX_[8567] = vX_[8567] + vX_[6502] * vX_[236];
+ vX_[3212] = vX_[3212] + vX_[4308] * vX_[165];
+ vX_[2957] = 0 - vX_[946];
+ vX_[5852] = 0 - vX_[8345];
+ vX_[4434] = vX_[9323] + vX_[9320] + vX_[7234] + vX_[3242] - vX_[8303] - vX_[2935];
+ vX_[1193] = vX_[4434] - vX_[1193];
+ vX_[4222] = 0 - vX_[7961];
+ vX_[4459] = 0 - vX_[4248];
+ vX_[7521] = 0 - vX_[7549];
+ vX_[8369] = vX_[9209] - vX_[41];
+ vX_[4549] = vX_[1853] - vX_[41];
+ vX_[8331] = vX_[8846] + vX_[9207];
+ vX_[3188] = vX_[8844] + vX_[9188];
+ vX_[6489] = vX_[8841] + vX_[9203];
+ vX_[6090] = 0 - vX_[6489];
+ vX_[7030] = vX_[8369] * vX_[249] + vX_[8331] * vX_[247];
+ vX_[6471] = vX_[4549] * vX_[249];
+ vX_[6469] = vX_[8369] * vX_[235] + vX_[8331] * vX_[249];
+ vX_[6467] = vX_[4549] * vX_[247];
+ vX_[6464] = vX_[6469] + vX_[6467];
+ vX_[6455] = vX_[8942] * -0.000881 + vX_[8961] * -0.000227999999999999;
+ vX_[6274] = vX_[8942] * 0.110125 + (0 - vX_[8959]) * 0.025713;
+ vX_[6272] = (0 - vX_[8953]) * -0.000881;
+ vX_[6266] = (0 - vX_[8955]) * 0.110125;
+ vX_[6264] = vX_[6272] + vX_[6266];
+ vX_[6264] = vX_[1465] * vX_[1930] + vX_[2363] * vX_[2925] + vX_[6455] * vX_[2915] + vX_[6274] * vX_[963] +
+ vX_[6264] * vX_[789] + vX_[6264] * vX_[789];
+ vX_[2363] = vX_[8940] * 0.0825825 + (0 - vX_[8946]) * -0.000102 + vX_[8941] * -0.007418 + vX_[8951] * 0.002735;
+ vX_[1465] = vX_[8940] * 0.47422804 + vX_[8946] * 2.1e-05 + (0 - vX_[8941]) * 0.084376 + (0 - vX_[8951]) * -0.007418;
+ vX_[3234] = (0 - vX_[8944]) * 0.0825825;
+ vX_[7436] = (0 - vX_[8945]) * 0.47422804;
+ vX_[1971] = vX_[8941] * -0.000102;
+ vX_[3227] = (0 - vX_[8951]) * 2.1e-05;
+ vX_[7052] = vX_[3234] + vX_[7436] + vX_[1971] + vX_[3227];
+ vX_[7052] = vX_[6264] + vX_[8306] * vX_[1077] + vX_[8984] * vX_[168] + vX_[2763] * vX_[797] +
+ vX_[3515] * vX_[2924] + vX_[2363] * vX_[775] + vX_[1465] * vX_[1018] + vX_[7052] * vX_[816] +
+ vX_[7052] * vX_[816];
+ vX_[3515] = vX_[997] * -0.5824264 + (0 - vX_[8935]) * 0.022734 + vX_[8932] * 3.6e-05 + vX_[8936] * -0.133138;
+ vX_[2763] = vX_[997] * 0.1466472 + vX_[8935] * 0.009466 + (0 - vX_[8932]) * -5.1e-05 + vX_[8936] * 0.022734;
+ vX_[1077] = (0 - vX_[892]) * -0.5824264;
+ vX_[6685] = (0 - vX_[1037]) * 0.1466472;
+ vX_[5806] = (0 - vX_[8935]) * 3.6e-05;
+ vX_[6069] = (0 - vX_[8936]) * -5.1e-05;
+ vX_[7376] = vX_[1077] + vX_[6685] + vX_[5806] - vX_[6069];
+ vX_[231] =
+ vX_[892] * vX_[268] + vX_[997] * vX_[527] + vX_[1037] * vX_[580] + vX_[8932] * vX_[579] + vX_[8936] * vX_[231];
+ vX_[7376] = vX_[3187] * vX_[1066] + vX_[1069] * vX_[201] + vX_[7052] * -1 + vX_[1716] * vX_[3339] +
+ vX_[3201] * vX_[806] + vX_[3515] * vX_[4087] + vX_[2763] * vX_[3807] + vX_[7376] * vX_[824] +
+ vX_[7376] * vX_[824] + vX_[231] * x_in[30];
+ vX_[8957] = vX_[8953] * 0.110125 + vX_[8955] * -0.000881 + vX_[8957] * 0.025941;
+ vX_[8961] = vX_[8942] * -0.000881 + vX_[8961] * 0.000468;
+ vX_[6266] = vX_[1932] * vX_[812] + vX_[8763] * vX_[2925] + vX_[6455] * vX_[789] + vX_[8957] * vX_[963] +
+ vX_[6266] * vX_[2915] + vX_[6266] * vX_[2915] + vX_[8961] * x_in[32];
+ vX_[8959] = vX_[8942] * -0.110125 + vX_[8959] * 0.026409;
+ vX_[8957] = vX_[7313] * vX_[812] + vX_[533] * vX_[1930] + vX_[6274] * vX_[789] + vX_[8957] * vX_[2915] +
+ vX_[6272] * vX_[963] + vX_[6272] * vX_[963] - vX_[8959] * x_in[32];
+ vX_[6272] = vX_[8944] * 0.47422804 + vX_[8945] * 0.0825825 + vX_[8946] * 0.081641 + (0 - vX_[8941]) * 2.1e-05 +
+ vX_[8951] * -0.000102;
+ vX_[6274] = (0 - vX_[8946]) * -0.007418;
+ vX_[3227] = vX_[7436] + vX_[6274] - vX_[3227];
+ vX_[222] = vX_[8940] * vX_[180] + vX_[8944] * vX_[192] + vX_[8945] * vX_[185] + vX_[8941] * vX_[226] +
+ vX_[8951] * vX_[222];
+ vX_[3227] = vX_[7315] * -0.35 + vX_[6266] * vX_[169] + vX_[8957] * vX_[167] + vX_[1306] * vX_[968] +
+ vX_[7498] * vX_[2924] + vX_[2363] * vX_[816] + vX_[6272] * vX_[1018] + vX_[3227] * vX_[775] +
+ vX_[3227] * vX_[775] + vX_[222] * x_in[31];
+ vX_[6274] = vX_[3234] - vX_[6274] - vX_[1971];
+ vX_[220] = vX_[8940] * vX_[189] + vX_[8944] * vX_[193] + vX_[8945] * vX_[187] + vX_[8941] * vX_[220] +
+ vX_[8951] * vX_[226];
+ vX_[6274] = vX_[6266] * vX_[175] + vX_[8957] * vX_[169] + vX_[1735] * vX_[968] + vX_[6652] * vX_[797] +
+ vX_[1465] * vX_[816] + vX_[6272] * vX_[775] + vX_[6274] * vX_[1018] + vX_[6274] * vX_[1018] -
+ vX_[220] * x_in[31];
+ vX_[6493] = vX_[5846] - vX_[7203] + vX_[6493];
+ vX_[7203] = vX_[892] * 0.1466472 + vX_[1037] * -0.5824264 + vX_[8935] * -5.1e-05 + (0 - vX_[8932]) * -0.123672 +
+ (0 - vX_[8936]) * 3.6e-05;
+ vX_[5846] = vX_[8932] * 0.022734;
+ vX_[5806] = vX_[1077] - vX_[5806] - vX_[5846];
+ vX_[579] =
+ vX_[892] * vX_[205] + vX_[997] * vX_[577] + vX_[1037] * vX_[528] + vX_[8932] * vX_[526] + vX_[8936] * vX_[579];
+ vX_[5806] = vX_[3227] * vX_[195] + vX_[6274] * vX_[186] + vX_[6493] * vX_[3339] + vX_[3329] * vX_[3838] +
+ vX_[7203] * vX_[4087] + vX_[2763] * vX_[824] + vX_[5806] * vX_[3807] + vX_[5806] * vX_[3807] -
+ vX_[579] * x_in[30];
+ vX_[8988] = vX_[8988] * vX_[2018];
+ vX_[2763] = vX_[8988] * vX_[169];
+ vX_[8989] = vX_[8989] * vX_[2018];
+ vX_[3329] = vX_[8989] * vX_[167];
+ vX_[8990] = vX_[8990] * vX_[2018];
+ vX_[8960] = vX_[8960] * vX_[2013];
+ vX_[526] = vX_[8960] * vX_[169];
+ vX_[1077] = vX_[8960] * vX_[167];
+ vX_[8976] = vX_[8976] * vX_[2025];
+ vX_[6272] = vX_[8976] * vX_[167];
+ vX_[8964] = vX_[8964] * vX_[2015];
+ vX_[1465] = vX_[8964] * vX_[169];
+ vX_[8962] = vX_[8962] * vX_[2013];
+ vX_[6652] = vX_[8962] * vX_[169];
+ vX_[1735] = 0 - vX_[6652];
+ vX_[968] = vX_[8962] * vX_[167];
+ vX_[226] = 0 - vX_[1077];
+ vX_[1971] = vX_[8976] * vX_[169];
+ vX_[8977] = vX_[8977] * vX_[2025];
+ vX_[3234] = 0 - vX_[8977];
+ vX_[2363] = vX_[3234] * vX_[169];
+ vX_[7498] = vX_[8977] * vX_[167];
+ vX_[1306] = vX_[8988] + vX_[8964];
+ vX_[8965] = vX_[8965] * vX_[2015];
+ vX_[7315] = 0 - vX_[8989] - vX_[8965];
+ vX_[7436] = vX_[1306] * vX_[167] + vX_[7315] * vX_[169];
+ vX_[533] = vX_[8965] * vX_[167];
+ vX_[8982] = vX_[8982] * vX_[2025] + vX_[8970] * vX_[2013];
+ vX_[8970] = 0 - vX_[8982];
+ vX_[7313] = 0 - vX_[8982];
+ vX_[789] = vX_[7313] * vX_[169];
+ vX_[812] = vX_[8982] * vX_[167];
+ vX_[1209] = vX_[8983] * vX_[1209] + vX_[928] * vX_[1159] + vX_[922] * vX_[1194];
+ vX_[1194] = 0 - vX_[1209];
+ vX_[1294] = vX_[8983] * vX_[1294] + vX_[928] * vX_[1195] + vX_[922] * vX_[1153];
+ vX_[1153] = vX_[1194] * x_in[18] + vX_[1294] * x_in[19];
+ vX_[1195] = 0 - vX_[1153];
+ vX_[1159] = 0 - vX_[1153];
+ vX_[963] = vX_[1159] * vX_[169];
+ vX_[8942] = vX_[1153] * vX_[167];
+ vX_[8983] = vX_[8983] * vX_[1192] + vX_[928] * vX_[1210] + vX_[922] * vX_[1295];
+ jac[1151] = vX_[2369] * vX_[1119] + vX_[3192] * vX_[797] + vX_[220] * vX_[2026] + vX_[222] * vX_[775] + vX_[7052] +
+ vX_[8983] * vX_[1214] + vX_[1209] * vX_[1165] + vX_[1294] * vX_[1198];
+ jac[1187] = vX_[2530] * vX_[1968] + vX_[529] * vX_[1930] + vX_[8959] * vX_[1653] + vX_[8961] * vX_[2915] +
+ vX_[6264] + vX_[8983] * vX_[1225] + vX_[1209] * vX_[1176] + vX_[1294] * vX_[1199];
+ vX_[8959] = vX_[8983] * x_in[32];
+ vX_[8961] = vX_[8959] * vX_[169];
+ vX_[6264] = vX_[8959] * vX_[167];
+ vX_[2530] = vX_[8983] * x_in[31];
+ vX_[529] = vX_[1209] * x_in[30];
+ vX_[1653] = 0 - vX_[529];
+ vX_[1930] = vX_[2530] * vX_[169];
+ vX_[1968] = 0 - vX_[529];
+ vX_[2915] = vX_[1968] * vX_[169];
+ vX_[1225] = vX_[2530] * vX_[167];
+ vX_[1199] = vX_[529] * vX_[167];
+ vX_[1180] = vX_[8994] * vX_[1180];
+ vX_[1176] = 0 - vX_[1180];
+ vX_[220] = 0 - vX_[1180];
+ vX_[222] = vX_[220] * vX_[169];
+ vX_[7052] = vX_[1180] * vX_[167];
+ vX_[2369] = 0 - vX_[8567];
+ vX_[3192] = 0 - vX_[3212];
+ vX_[4434] = 0 - vX_[4434] + vX_[2927];
+ vX_[2927] = 0 - vX_[8377];
+ vX_[6489] = 0 - vX_[6489];
+ vX_[8954] = vX_[8954] * vX_[2013];
+ vX_[1119] = vX_[8954] * vX_[167];
+ vX_[8956] = vX_[8956] * vX_[2013];
+ vX_[2026] = 0 - vX_[8956];
+ vX_[1214] = vX_[2026] * vX_[169];
+ vX_[8958] = vX_[8958] * vX_[2013];
+ vX_[8975] = vX_[8975] * vX_[2025];
+ vX_[8991] = vX_[8991] * vX_[2018];
+ vX_[1198] = vX_[8991] * vX_[169];
+ vX_[1165] = vX_[8991] * vX_[167];
+ vX_[922] = 0 - vX_[1165];
+ vX_[8980] = vX_[8980] * vX_[1124];
+ vX_[928] = vX_[8980] * vX_[167];
+ vX_[8992] = vX_[8992] * vX_[2018];
+ vX_[1192] = vX_[8992] * vX_[169];
+ vX_[1295] = vX_[8992] * vX_[167];
+ vX_[8981] = vX_[8981] * vX_[1124];
+ vX_[1210] = 0 - vX_[8981];
+ vX_[6455] = vX_[1210] * vX_[169];
+ vX_[8763] = vX_[8954] + vX_[8980];
+ vX_[8981] = vX_[8956] + vX_[8981];
+ vX_[8956] = vX_[8763] * vX_[169] + vX_[8981] * vX_[167];
+ vX_[8978] = vX_[8978] * vX_[2025] + vX_[8969] * vX_[2018];
+ vX_[8969] = 0 - vX_[8978];
+ vX_[1932] = 0 - vX_[8978];
+ vX_[2925] = vX_[1932] * vX_[169];
+ vX_[8955] = vX_[8978] * vX_[167];
+ vX_[8953] = 0 - vX_[1294];
+ vX_[3201] = vX_[8983] * x_in[18] + vX_[8953] * x_in[20];
+ vX_[6776] = 0 - vX_[3201];
+ vX_[3211] = vX_[3201] * vX_[167];
+ vX_[3362] = vX_[8983] * x_in[30];
+ vX_[6002] = vX_[3362] * vX_[167];
+ vX_[6650] = vX_[1209] * x_in[32];
+ vX_[5955] = vX_[6650] * vX_[169];
+ vX_[6015] = vX_[6650] * vX_[167];
+ vX_[6229] = vX_[1209] * x_in[31];
+ vX_[6530] = vX_[3362] * vX_[169];
+ vX_[3596] = vX_[6229] * vX_[169];
+ vX_[6182] = vX_[6229] * vX_[167];
+ vX_[1246] = vX_[8994] * vX_[1246];
+ vX_[5829] = 0 - vX_[1246];
+ vX_[5941] = 0 - vX_[3201];
+ vX_[6462] = 0 - vX_[1246];
+ vX_[3591] = vX_[5941] * vX_[169] + vX_[6462] * vX_[169];
+ vX_[5827] = vX_[1246] * vX_[167];
+ jac[467] =
+ 0 -
+ (0 - (vX_[8845] * vX_[1621] + vX_[1689] * x_in[22]) +
+ (vX_[8837] * vX_[1621] + vX_[1505] * vX_[249] + vX_[1689] * x_in[20]) * 0.3735 -
+ (vX_[8847] * vX_[4058] + vX_[6485] * x_in[23]) + (vX_[8832] * vX_[4058] + vX_[6485] * x_in[19]) * -0.3735 +
+ (vX_[8863] * vX_[4058] +
+ (vX_[2820] * vX_[530] + vX_[8377] * vX_[583] + vX_[4308] * vX_[262] + vX_[3184] * vX_[264] +
+ vX_[8567] * vX_[234] + vX_[3212] * vX_[243] + vX_[2957] * vX_[246] + vX_[5852] * vX_[263] +
+ vX_[1193] * vX_[252] + vX_[4222] * vX_[528] + vX_[8377] * vX_[580] + vX_[4459] * vX_[205] +
+ vX_[7521] * vX_[535]) *
+ -1 +
+ vX_[6485] * x_in[18]) *
+ -0.207 -
+ (vX_[8837] * vX_[1314] + vX_[8832] * vX_[1268] + vX_[8369] * vX_[707] + vX_[4549] * vX_[705] +
+ vX_[8331] * vX_[703] + vX_[3188] * vX_[588] + vX_[6090] * vX_[252] + vX_[7030] * vX_[692] +
+ vX_[6471] * vX_[161] + vX_[6464] * vX_[234] + vX_[3241] * vX_[671] + vX_[2784] * vX_[646] +
+ vX_[9291] * vX_[270] + vX_[8182] * vX_[260] + vX_[7234] * vX_[672] + vX_[3242] * vX_[649] +
+ vX_[8758] * vX_[647] + vX_[3244] * vX_[582] + vX_[2532] * vX_[648] + vX_[7033] * vX_[645] +
+ vX_[9290] * vX_[259] + vX_[8682] * vX_[269] + vX_[7347] * vX_[589] + vX_[8862] * vX_[587] +
+ vX_[1693] * vX_[585] + vX_[2819] * vX_[626] + vX_[2757] * vX_[627] + vX_[9345] * vX_[536] +
+ vX_[9347] * vX_[532] + vX_[5380] * vX_[584] + vX_[1505] * vX_[250] + vX_[7376] * x_in[19] +
+ vX_[5806] * x_in[20]) +
+ vX_[8943] * vX_[2013] + vX_[8979] * vX_[1124] + vX_[2763] * vX_[166] + vX_[3329] * vX_[166] +
+ (0 - vX_[8990]) * 0.3735 + vX_[8990] * vX_[166] * -0.35 + vX_[526] * 0.35 + vX_[526] * vX_[186] * 0.08 +
+ vX_[526] * vX_[166] * 0.3735 + vX_[1077] * vX_[186] * 0.3735 + vX_[6272] * vX_[186] * 0.207 +
+ vX_[1465] * vX_[166] + vX_[1735] * vX_[186] * 0.3735 + vX_[968] * 0.35 +
+ (vX_[226] * vX_[166] + vX_[968] * vX_[186]) * 0.08 + vX_[968] * vX_[166] * 0.3735 +
+ (vX_[1971] * vX_[166] + vX_[2363] * vX_[186]) * 0.207 + vX_[7498] * vX_[166] * 0.207 +
+ vX_[7436] * vX_[186] + vX_[533] * vX_[166] + (vX_[6652] * vX_[166] - vX_[8982]) * 0.08 +
+ vX_[8970] * vX_[186] * 0.35 + vX_[789] * vX_[186] * 0.33 + vX_[812] * vX_[166] * 0.33 +
+ (0 - vX_[1153]) * 0.08 + vX_[1195] * vX_[186] * 0.35 + vX_[963] * vX_[186] * 0.33 +
+ vX_[8942] * vX_[166] * 0.33 + vX_[8961] * vX_[166] * 0.33 + vX_[6264] * vX_[186] * 0.33 +
+ vX_[2530] * vX_[166] * 0.35 + (0 - vX_[529]) * 0.08 + vX_[1653] * vX_[186] * 0.35 +
+ (vX_[1930] * vX_[166] + vX_[2915] * vX_[186]) * 0.33 +
+ (vX_[1225] * vX_[186] + vX_[1199] * vX_[166]) * 0.33 + (0 - vX_[1180]) * 0.08 +
+ vX_[1176] * vX_[186] * 0.35 + vX_[222] * vX_[186] * 0.33 + vX_[7052] * vX_[166] * 0.33) *
+ vX_[1489] +
+ (vX_[8847] * vX_[1621] + vX_[8837] * vX_[1268] + vX_[8369] * vX_[703] + vX_[3188] * vX_[252] +
+ vX_[6469] * vX_[161] + vX_[7030] * vX_[234] + vX_[2784] * vX_[649] + vX_[9291] * vX_[260] +
+ vX_[7234] * vX_[671] + vX_[8758] * vX_[648] + vX_[3244] * vX_[645] + vX_[9290] * vX_[269] +
+ vX_[7347] * vX_[585] + vX_[2819] * vX_[627] + vX_[6725] * vX_[532] + vX_[9345] * vX_[584] +
+ (vX_[7961] * vX_[581] + vX_[2765] * vX_[214] + vX_[4248] * vX_[264] + vX_[6502] * vX_[238] +
+ vX_[1342] * vX_[253] + vX_[2369] * vX_[237] + vX_[8543] * vX_[246] + vX_[3192] * vX_[234] +
+ vX_[2529] * vX_[252] + vX_[4434] * vX_[263] + vX_[7961] * vX_[577] + vX_[2927] * vX_[527] +
+ vX_[4248] * vX_[268] + vX_[1342] * vX_[524]) *
+ 0.207 +
+ vX_[1689] * x_in[23] + vX_[7376] * x_in[20] +
+ (vX_[8832] * vX_[1621] + vX_[1505] * vX_[247] + vX_[1689] * x_in[19]) * 0.3735 +
+ (vX_[8863] * vX_[1621] + vX_[1689] * x_in[18]) * 0.207 - (vX_[8845] * vX_[4058] + vX_[6485] * x_in[22]) +
+ (vX_[8837] * vX_[4058] + vX_[6485] * x_in[20]) * 0.3735 -
+ (vX_[8832] * vX_[1314] + vX_[4549] * vX_[704] + vX_[8331] * vX_[707] + vX_[6489] * vX_[588] +
+ vX_[6471] * vX_[234] + vX_[6467] * vX_[692] + vX_[3241] * vX_[672] + vX_[8182] * vX_[270] +
+ vX_[3242] * vX_[646] + vX_[2532] * vX_[647] + vX_[7033] * vX_[582] + vX_[8682] * vX_[259] +
+ vX_[8862] * vX_[586] + vX_[1693] * vX_[589] + vX_[7958] * vX_[626] + vX_[9347] * vX_[584] +
+ vX_[4930] * vX_[536] + vX_[1505] * vX_[248] + vX_[5806] * x_in[19]) -
+ vX_[8987] * vX_[2018] + vX_[1119] * vX_[186] + vX_[1214] * vX_[186] + (0 - vX_[8958]) * 0.3735 +
+ vX_[8958] * vX_[166] * -0.35 + (0 - vX_[8975]) * 0.207 - vX_[8963] * vX_[2015] + (0 - vX_[1198]) * 0.35 +
+ (0 - vX_[1198] * vX_[186]) * 0.08 + vX_[1198] * vX_[166] * -0.3735 + vX_[922] * vX_[186] * 0.3735 +
+ vX_[1165] * vX_[166] * 0.08 + vX_[928] * vX_[186] + vX_[1192] * vX_[186] * 0.3735 +
+ (0 - vX_[1192] * vX_[166]) * 0.08 + (0 - vX_[1295]) * 0.35 + (0 - vX_[1295] * vX_[186]) * 0.08 +
+ vX_[1295] * vX_[166] * -0.3735 + vX_[6455] * vX_[186] + vX_[8956] * vX_[166] + vX_[8969] * vX_[186] * 0.35 +
+ vX_[2925] * vX_[186] * 0.33 + vX_[8955] * vX_[166] * 0.33 + (0 - vX_[3201]) * 0.08 +
+ vX_[6776] * vX_[186] * 0.35 + vX_[3211] * vX_[166] * 0.33 + (0 - vX_[8978] + vX_[3362]) * 0.08 +
+ vX_[3362] * vX_[186] * 0.35 + vX_[6002] * vX_[166] * -0.33 + vX_[5955] * vX_[166] * 0.33 +
+ vX_[6015] * vX_[186] * 0.33 + vX_[6229] * vX_[166] * 0.35 +
+ (vX_[6530] * vX_[186] + vX_[3596] * vX_[166]) * 0.33 + vX_[6182] * vX_[186] * 0.33 +
+ (0 - vX_[1246]) * 0.08 + vX_[5829] * vX_[186] * 0.35 + vX_[3591] * vX_[186] * 0.33 +
+ vX_[5827] * vX_[166] * 0.33) *
+ vX_[290];
+ vX_[9005] = vX_[740] + vX_[9005] * vX_[235] + vX_[9008] * vX_[249];
+ vX_[1646] = vX_[740] + vX_[9009] * vX_[249] + vX_[1646] * vX_[247];
+ vX_[8596] = vX_[1768] + vX_[1753] + vX_[740] - vX_[9005] - vX_[1646] + vX_[379] * vX_[236] + vX_[8596] * vX_[165];
+ vX_[1646] = vX_[1646] + vX_[9058] * vX_[165] + vX_[2039] * vX_[251] + vX_[1054] * vX_[1860];
+ vX_[9058] = vX_[8596] - vX_[1646];
+ vX_[9014] = vX_[1109] * vX_[235] + vX_[9014] * vX_[249] + vX_[9030] * vX_[251] + vX_[391] * vX_[236] +
+ vX_[1508] * vX_[165] + vX_[1047] * vX_[1860];
+ vX_[1508] = vX_[9058] * vX_[186] + vX_[9014] * vX_[195];
+ vX_[391] = vX_[9058] * vX_[166] + vX_[9014] * vX_[186];
+ vX_[1430] = vX_[364] + vX_[1430] * vX_[165] + vX_[8996] * vX_[236] * 2. + vX_[1047] * vX_[2019];
+ vX_[364] = 0 - vX_[9014];
+ vX_[1485] = 0 - (vX_[9009] * vX_[235] + vX_[9008] * vX_[247] + vX_[1643] * vX_[249] + vX_[1368] * vX_[165] +
+ vX_[1485] * vX_[236] + vX_[1563] * vX_[251] + vX_[1045] * vX_[1860] + vX_[1054] * vX_[1852]);
+ vX_[1643] = 0 - vX_[1646];
+ vX_[2049] =
+ vX_[9038] + vX_[2049] * vX_[165] + vX_[2048] * vX_[251] * 2. + vX_[1054] * vX_[2019] + vX_[1057] * vX_[1860];
+ vX_[2048] = 0 - vX_[2049];
+ vX_[2052] = vX_[9018] + vX_[1502] * vX_[165] + vX_[2052] * vX_[251] + vX_[1054] * vX_[2017] + vX_[1059] * vX_[1860];
+ vX_[9018] = 0 - vX_[2052];
+ vX_[1502] = (vX_[1643] * vX_[196] + vX_[2048] * vX_[258] + vX_[9018] * vX_[267]) * 1 / vX_[232];
+ vX_[1643] = vX_[1055] * vX_[1114] + vX_[364] * vX_[245] + vX_[1485] * vX_[233] + vX_[1643] * vX_[261] + vX_[1502];
+ vX_[1460] = vX_[2050] + vX_[1404] * vX_[236] + vX_[1460] * vX_[165] * 2. + vX_[1047] * vX_[2017];
+ vX_[8596] = 0 - vX_[8596];
+ vX_[9016] = 0 - (0 - (vX_[1109] * vX_[249] + vX_[9016] * vX_[247]) + vX_[547] * vX_[251] + vX_[2051] * vX_[165] +
+ vX_[1605] * vX_[236] + vX_[1047] * vX_[1852]);
+ vX_[1605] = 0 - vX_[1430];
+ vX_[1109] = 0 - vX_[1460];
+ vX_[364] = (vX_[8596] * vX_[244] + vX_[9016] * vX_[206] + vX_[364] * vX_[196] + vX_[1605] * vX_[258] +
+ vX_[1109] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[8596] = vX_[1048] * vX_[1114] + vX_[8596] * vX_[245] + vX_[364];
+ vX_[2051] = vX_[1643] * vX_[195] + vX_[8596] * vX_[186];
+ vX_[547] = vX_[1643] * vX_[186] + vX_[8596] * vX_[166];
+ vX_[2050] = vX_[1460] * vX_[186] + vX_[2052] * vX_[195];
+ vX_[9038] = vX_[1460] * vX_[166] + vX_[2052] * vX_[186];
+ vX_[9020] =
+ vX_[9045] + vX_[9020] * vX_[236] + vX_[1778] * vX_[251] * 2. + vX_[1045] * vX_[2017] + vX_[1059] * vX_[1852];
+ vX_[9045] = vX_[2049] - vX_[9020];
+ vX_[9005] = 0 - (vX_[9005] + vX_[1487] * vX_[236] + vX_[9044] * vX_[251] + vX_[1045] * vX_[1852]);
+ vX_[9055] =
+ 0 - (vX_[9055] + vX_[1455] * vX_[236] + vX_[1404] * vX_[251] + vX_[1045] * vX_[2019] + vX_[1057] * vX_[1852]);
+ vX_[9020] = 0 - vX_[9020];
+ vX_[1485] =
+ (vX_[9005] * vX_[206] + vX_[1485] * vX_[196] + vX_[9055] * vX_[258] + vX_[9020] * vX_[267]) * 1 / vX_[232];
+ vX_[9005] = 0 - vX_[1430] + vX_[1049] * vX_[1114] + vX_[9016] * vX_[245] + vX_[9005] * vX_[233] + vX_[1485];
+ vX_[1778] = vX_[1778] + vX_[1059] * vX_[2017];
+ vX_[8996] = vX_[8996] + vX_[1057] * vX_[2019];
+ vX_[9016] = 0 - vX_[8996];
+ vX_[1404] = vX_[1404] + vX_[1057] * vX_[2017] + vX_[1059] * vX_[2019];
+ vX_[1455] = 0 - vX_[1404];
+ vX_[1045] = (vX_[9016] * vX_[258] + vX_[1455] * vX_[267]) * 1 / vX_[232];
+ vX_[1487] = 0 - vX_[1778];
+ vX_[9044] = vX_[1487] * vX_[267] * 1 / vX_[232];
+ vX_[1485] = 0 - vX_[1048] * vX_[1772] - vX_[1049] * vX_[3822] - vX_[1055] * vX_[1086] - vX_[1056] * vX_[4089] +
+ vX_[1056] * vX_[1114] - vX_[1058] * vX_[1092] - vX_[1060] * vX_[1652] - vX_[364] * vX_[245] -
+ vX_[1485] * vX_[233] - vX_[1502] * vX_[261] - vX_[1045] * vX_[525] - vX_[9044] * vX_[534];
+ vX_[364] = 0 - vX_[1778] + vX_[1485];
+ vX_[9044] = vX_[1060] * vX_[1114] + vX_[1109] * vX_[245] + vX_[9020] * vX_[233] + vX_[9018] * vX_[261] +
+ vX_[1455] * vX_[525] + vX_[1487] * vX_[534] + vX_[9044];
+ vX_[1045] = vX_[1058] * vX_[1114] + vX_[1605] * vX_[245] + vX_[9055] * vX_[233] + vX_[2048] * vX_[261] +
+ vX_[9016] * vX_[525] + vX_[1045];
+ vX_[9016] = vX_[364] * vX_[186] + vX_[9044] * vX_[195];
+ vX_[9055] = vX_[364] * vX_[166] + vX_[9044] * vX_[186];
+ vX_[1605] = vX_[9016] * vX_[166] + vX_[9055] * vX_[186];
+ vX_[2048] = vX_[1778] + vX_[9016] * vX_[186];
+ vX_[1058] = vX_[1778] + vX_[9055] * vX_[166];
+ vX_[1485] = vX_[8996] + vX_[1778] + vX_[1485] - vX_[2048] - vX_[1058];
+ vX_[8996] = 0 - vX_[1485];
+ vX_[1778] = (vX_[1430] * vX_[186] + vX_[2049] * vX_[195]) * -1;
+ vX_[1487] = vX_[1778] + vX_[8996] * vX_[197];
+ vX_[1455] = 0 - vX_[1487];
+ vX_[1778] = 0 - (vX_[9045] * vX_[166] + vX_[9005] * vX_[186]) + vX_[1778];
+ vX_[9020] = (vX_[1430] * vX_[166] + vX_[2049] * vX_[186]) * -1;
+ vX_[1109] = vX_[9020] + vX_[1485] * vX_[202];
+ vX_[9018] = 0 - vX_[1109];
+ vX_[1060] = 0 - (vX_[1404] * vX_[166] + vX_[1045] * vX_[186]) + vX_[1404] * vX_[195] * -1 * 2.;
+ vX_[1502] = 0 - vX_[1060];
+ vX_[1056] = vX_[1404] * vX_[186] + vX_[1045] * vX_[195] + vX_[1404] * vX_[186] * -1 * 2.;
+ vX_[1055] = 0 - vX_[1056];
+ vX_[1265] = vX_[1265] * vX_[2025];
+ vX_[1264] = vX_[1264] * vX_[2025] + vX_[1125] * vX_[1219];
+ vX_[1125] = 0 - vX_[1264];
+ vX_[1127] = vX_[1127] * vX_[1219];
+ vX_[1338] = vX_[1121] * vX_[2013] + vX_[1338] * vX_[2018];
+ vX_[1121] = vX_[1522] * x_in[31];
+ vX_[1049] = vX_[1522] * x_in[32];
+ vX_[1048] = 0 - vX_[1049] - vX_[1121];
+ vX_[9008] = 0 - vX_[1292];
+ vX_[9009] = vX_[9008] * x_in[19] + vX_[1527] * x_in[20];
+ vX_[1339] = vX_[1339] * vX_[1252];
+ vX_[1368] = vX_[9009] + vX_[1339];
+ vX_[1563] = sin(x_in[13]);
+ vX_[9030] = 0 - vX_[1058];
+ vX_[9020] = vX_[9045] * vX_[186] + vX_[9005] * vX_[195] + vX_[9020];
+ vX_[2039] = 0 - vX_[1605];
+ vX_[379] = 0 - vX_[1058];
+ vX_[8331] = 0 - vX_[1265] - vX_[1127];
+ vX_[4549] = 0 - vX_[1338];
+ vX_[8369] = 0 - vX_[9009] - vX_[1339];
+ vX_[6502] = cos(x_in[13]);
+ jac[486] =
+ 0 -
+ (vX_[1047] * vX_[803] + vX_[1054] * vX_[1982] + vX_[1046] * vX_[2014] + vX_[1059] * vX_[1297] +
+ vX_[9058] * vX_[242] + vX_[9014] * vX_[240] + vX_[1508] * vX_[241] + vX_[391] * vX_[211] +
+ vX_[1430] * vX_[199] + vX_[1643] * vX_[188] + vX_[1460] * vX_[265] + vX_[2049] * vX_[254] +
+ vX_[8596] * vX_[194] + vX_[2052] * vX_[266] + vX_[2051] * vX_[193] + vX_[547] * vX_[187] +
+ vX_[2050] * vX_[192] + vX_[9038] * vX_[185] + vX_[9045] * vX_[204] + vX_[9005] * vX_[200] +
+ vX_[364] * vX_[230] + vX_[9044] * vX_[228] + vX_[1404] * vX_[578] + vX_[1404] * vX_[255] +
+ vX_[1045] * vX_[257] + vX_[9016] * vX_[182] + vX_[9055] * vX_[227] +
+ (vX_[1605] * vX_[203] + vX_[8996] * vX_[213] + vX_[2048] * vX_[198] + vX_[1455] * vX_[209] +
+ (vX_[1778] + vX_[2048] * vX_[197]) * 4.027 + vX_[9018] * vX_[211] + vX_[1502] * vX_[193] +
+ vX_[1055] * vX_[192] + vX_[1605] * vX_[180] + vX_[2048] * vX_[229]) *
+ -0.08 +
+ vX_[9028] * vX_[3339] + vX_[9041] * vX_[806] + vX_[1585] * vX_[4087] + vX_[1635] * vX_[3807] +
+ (vX_[1057] * vX_[803] + vX_[9028] * vX_[824]) * -0.08 + vX_[1481] * vX_[235] + vX_[1475] * vX_[235] -
+ vX_[1265] * vX_[167] + vX_[1267] * 0.35 + vX_[1472] * vX_[1326] + vX_[1445] * vX_[1324] +
+ vX_[1627] * vX_[1098] + vX_[1348] * vX_[1095] + vX_[9029] * vX_[1270] + vX_[1439] * vX_[235] +
+ vX_[1125] * vX_[169] + vX_[1434] * vX_[1335] + vX_[1433] * vX_[1331] + vX_[2045] * vX_[1107] +
+ vX_[1237] * vX_[1096] + vX_[1440] * vX_[1272] + vX_[1304] * vX_[163] + vX_[1425] * vX_[235] -
+ vX_[1127] * vX_[167] + vX_[1132] * vX_[1137] + vX_[9053] * vX_[1135] + vX_[1131] * vX_[1285] +
+ vX_[1412] * vX_[1283] + vX_[1338] * vX_[167] * -0.33 + vX_[1513] * vX_[1187] + vX_[1509] * vX_[1185] +
+ vX_[1392] * vX_[1205] + vX_[1600] * vX_[1221] + vX_[8859] * vX_[1166] + vX_[337] * vX_[1218] +
+ vX_[306] * vX_[1160] + vX_[327] * vX_[1172] + vX_[303] * vX_[1162] + vX_[1589] * vX_[1170] +
+ vX_[2096] * vX_[1168] + (0 - vX_[1121]) * 0.35 + vX_[1048] * vX_[169] * 0.33 + vX_[1506] * vX_[1256] +
+ vX_[1494] * vX_[1254] + vX_[296] * vX_[1249] + vX_[293] * vX_[1203] + vX_[1368] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[1047] * vX_[1982] + vX_[1046] * vX_[1297] + vX_[9058] * vX_[240] + vX_[1508] * vX_[211] +
+ vX_[391] * vX_[239] + vX_[1430] * vX_[254] + vX_[1460] * vX_[266] + vX_[8596] * vX_[188] +
+ vX_[2051] * vX_[192] + vX_[547] * vX_[185] + vX_[9045] * vX_[200] + vX_[364] * vX_[228] +
+ vX_[1404] * vX_[257] + vX_[9016] * vX_[227] + vX_[9055] * vX_[224] + vX_[9041] * vX_[3339] +
+ vX_[1635] * vX_[4087] - (vX_[1054] * vX_[803] + vX_[9028] * vX_[806]) +
+ (vX_[1057] * vX_[1982] +
+ (vX_[1485] * vX_[212] + vX_[9030] * vX_[203] + vX_[1487] * vX_[211] + vX_[1109] * vX_[210] +
+ (0 - (vX_[9020] + vX_[1605] * vX_[197] + vX_[9030] * vX_[202])) * 4.027 + vX_[1060] * vX_[187] +
+ vX_[1056] * vX_[185] + vX_[2039] * vX_[189] + vX_[379] * vX_[223]) *
+ -1 +
+ vX_[9041] * vX_[824]) *
+ -0.08 -
+ (vX_[1059] * vX_[2014] + vX_[9014] * vX_[242] + vX_[1643] * vX_[194] + vX_[2049] * vX_[199] +
+ vX_[2052] * vX_[265] + vX_[2050] * vX_[193] + vX_[9038] * vX_[187] + vX_[9005] * vX_[204] +
+ vX_[9044] * vX_[230] + vX_[1404] * vX_[256] + vX_[1045] * vX_[255] + vX_[1585] * vX_[3807]) +
+ vX_[9332] * vX_[163] + vX_[830] * vX_[163] + vX_[1319] * vX_[1320] + vX_[1090] * vX_[1091] +
+ vX_[1472] * vX_[1327] + vX_[1447] * vX_[1323] + vX_[1627] * vX_[1099] + vX_[298] * vX_[1096] +
+ vX_[311] * vX_[1272] + vX_[307] * vX_[163] + vX_[1264] * vX_[167] + vX_[1434] * vX_[1334] +
+ vX_[1433] * vX_[1332] + vX_[1594] * vX_[1106] + vX_[1237] * vX_[1104] + vX_[1063] * vX_[1276] +
+ vX_[1084] * vX_[163] + vX_[1085] * vX_[235] + vX_[8331] * vX_[169] + vX_[1528] * vX_[1133] +
+ vX_[1409] * vX_[1281] + (0 - vX_[1338]) * 0.35 + vX_[4549] * vX_[169] * 0.33 + vX_[1507] * vX_[1183] +
+ vX_[338] * vX_[1201] + vX_[1102] * vX_[1223] + vX_[420] * vX_[1213] + vX_[1590] * vX_[1168] +
+ vX_[336] * vX_[1216] + vX_[334] * vX_[1174] + vX_[326] * vX_[1164] + vX_[305] * vX_[1160] +
+ vX_[2028] * vX_[1166] + vX_[1049] * vX_[167] * 0.33 + vX_[1121] * vX_[167] * 0.33 + vX_[1490] * vX_[1178] +
+ vX_[292] * vX_[1247] + (0 - vX_[9009] - vX_[1339]) * 0.35 + vX_[8369] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[8647] = vX_[2121] + vX_[8647] * vX_[235] + vX_[9241] * vX_[249];
+ vX_[8646] = vX_[2121] + vX_[8190] * vX_[249] + vX_[8646] * vX_[247];
+ vX_[9160] = vX_[3668] + vX_[708] + vX_[2121] - vX_[8647] - vX_[8646] + vX_[1110] * vX_[236] + vX_[9160] * vX_[165];
+ vX_[8646] = vX_[8646] + vX_[289] * vX_[165] + vX_[1232] * vX_[251] + vX_[2213] * vX_[1860];
+ vX_[289] = vX_[9160] - vX_[8646];
+ vX_[4127] = vX_[9146] * vX_[235] + vX_[4127] * vX_[249] + vX_[1064] * vX_[251] + vX_[317] * vX_[236] +
+ vX_[344] * vX_[165] + vX_[2207] * vX_[1860];
+ vX_[344] = vX_[289] * vX_[186] + vX_[4127] * vX_[195];
+ vX_[317] = vX_[289] * vX_[166] + vX_[4127] * vX_[186];
+ vX_[8586] = vX_[1286] + vX_[8586] * vX_[165] + vX_[1312] * vX_[236] * 2. + vX_[2207] * vX_[2019];
+ vX_[1286] = 0 - vX_[4127];
+ vX_[2882] = 0 - (vX_[8190] * vX_[235] + vX_[9241] * vX_[247] + vX_[9165] * vX_[249] + vX_[1313] * vX_[165] +
+ vX_[2882] * vX_[236] + vX_[340] * vX_[251] + vX_[2179] * vX_[1860] + vX_[2213] * vX_[1852]);
+ vX_[9165] = 0 - vX_[8646];
+ vX_[9136] =
+ vX_[278] + vX_[9136] * vX_[165] + vX_[301] * vX_[251] * 2. + vX_[2213] * vX_[2019] + vX_[2216] * vX_[1860];
+ vX_[301] = 0 - vX_[9136];
+ vX_[312] = vX_[9010] + vX_[1631] * vX_[165] + vX_[312] * vX_[251] + vX_[2213] * vX_[2017] + vX_[2218] * vX_[1860];
+ vX_[9010] = 0 - vX_[312];
+ vX_[1631] = (vX_[9165] * vX_[196] + vX_[301] * vX_[258] + vX_[9010] * vX_[267]) * 1 / vX_[232];
+ vX_[9165] = vX_[2214] * vX_[1114] + vX_[1286] * vX_[245] + vX_[2882] * vX_[233] + vX_[9165] * vX_[261] + vX_[1631];
+ vX_[2847] = vX_[283] + vX_[1466] * vX_[236] + vX_[2847] * vX_[165] * 2. + vX_[2207] * vX_[2017];
+ vX_[9160] = 0 - vX_[9160];
+ vX_[9157] = 0 - (0 - (vX_[9146] * vX_[249] + vX_[9157] * vX_[247]) + vX_[286] * vX_[251] + vX_[8580] * vX_[165] +
+ vX_[7998] * vX_[236] + vX_[2207] * vX_[1852]);
+ vX_[7998] = 0 - vX_[8586];
+ vX_[9146] = 0 - vX_[2847];
+ vX_[1286] = (vX_[9160] * vX_[244] + vX_[9157] * vX_[206] + vX_[1286] * vX_[196] + vX_[7998] * vX_[258] +
+ vX_[9146] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[9160] = vX_[2211] * vX_[1114] + vX_[9160] * vX_[245] + vX_[1286];
+ vX_[8580] = vX_[9165] * vX_[195] + vX_[9160] * vX_[186];
+ vX_[286] = vX_[9165] * vX_[186] + vX_[9160] * vX_[166];
+ vX_[283] = vX_[2847] * vX_[186] + vX_[312] * vX_[195];
+ vX_[278] = vX_[2847] * vX_[166] + vX_[312] * vX_[186];
+ vX_[9011] =
+ vX_[1154] + vX_[9011] * vX_[236] + vX_[9057] * vX_[251] * 2. + vX_[2179] * vX_[2017] + vX_[2218] * vX_[1852];
+ vX_[1154] = vX_[9136] - vX_[9011];
+ vX_[8647] = 0 - (vX_[8647] + vX_[8220] * vX_[236] + vX_[9013] * vX_[251] + vX_[2179] * vX_[1852]);
+ vX_[9012] =
+ 0 - (vX_[9012] + vX_[9004] * vX_[236] + vX_[1466] * vX_[251] + vX_[2179] * vX_[2019] + vX_[2216] * vX_[1852]);
+ vX_[9011] = 0 - vX_[9011];
+ vX_[2882] =
+ (vX_[8647] * vX_[206] + vX_[2882] * vX_[196] + vX_[9012] * vX_[258] + vX_[9011] * vX_[267]) * 1 / vX_[232];
+ vX_[8647] = 0 - vX_[8586] + vX_[2212] * vX_[1114] + vX_[9157] * vX_[245] + vX_[8647] * vX_[233] + vX_[2882];
+ vX_[9057] = vX_[9057] + vX_[2218] * vX_[2017];
+ vX_[1312] = vX_[1312] + vX_[2216] * vX_[2019];
+ vX_[9157] = 0 - vX_[1312];
+ vX_[1466] = vX_[1466] + vX_[2216] * vX_[2017] + vX_[2218] * vX_[2019];
+ vX_[9004] = 0 - vX_[1466];
+ vX_[2179] = (vX_[9157] * vX_[258] + vX_[9004] * vX_[267]) * 1 / vX_[232];
+ vX_[8220] = 0 - vX_[9057];
+ vX_[9013] = vX_[8220] * vX_[267] * 1 / vX_[232];
+ vX_[2882] = 0 - vX_[2211] * vX_[1772] - vX_[2212] * vX_[3822] - vX_[2214] * vX_[1086] - vX_[2215] * vX_[4089] +
+ vX_[2215] * vX_[1114] - vX_[2217] * vX_[1092] - vX_[2219] * vX_[1652] - vX_[1286] * vX_[245] -
+ vX_[2882] * vX_[233] - vX_[1631] * vX_[261] - vX_[2179] * vX_[525] - vX_[9013] * vX_[534];
+ vX_[1286] = 0 - vX_[9057] + vX_[2882];
+ vX_[9013] = vX_[2219] * vX_[1114] + vX_[9146] * vX_[245] + vX_[9011] * vX_[233] + vX_[9010] * vX_[261] +
+ vX_[9004] * vX_[525] + vX_[8220] * vX_[534] + vX_[9013];
+ vX_[2179] = vX_[2217] * vX_[1114] + vX_[7998] * vX_[245] + vX_[9012] * vX_[233] + vX_[301] * vX_[261] +
+ vX_[9157] * vX_[525] + vX_[2179];
+ vX_[9157] = vX_[1286] * vX_[186] + vX_[9013] * vX_[195];
+ vX_[9012] = vX_[1286] * vX_[166] + vX_[9013] * vX_[186];
+ vX_[7998] = vX_[9157] * vX_[166] + vX_[9012] * vX_[186];
+ vX_[301] = vX_[9057] + vX_[9157] * vX_[186];
+ vX_[2217] = vX_[9057] + vX_[9012] * vX_[166];
+ vX_[2882] = vX_[1312] + vX_[9057] + vX_[2882] - vX_[301] - vX_[2217];
+ vX_[1312] = 0 - vX_[2882];
+ vX_[9057] = (vX_[8586] * vX_[186] + vX_[9136] * vX_[195]) * -1;
+ vX_[8220] = vX_[9057] + vX_[1312] * vX_[197];
+ vX_[9004] = 0 - vX_[8220];
+ vX_[9057] = 0 - (vX_[1154] * vX_[166] + vX_[8647] * vX_[186]) + vX_[9057];
+ vX_[9011] = (vX_[8586] * vX_[166] + vX_[9136] * vX_[186]) * -1;
+ vX_[9146] = vX_[9011] + vX_[2882] * vX_[202];
+ vX_[9010] = 0 - vX_[9146];
+ vX_[2219] = 0 - (vX_[1466] * vX_[166] + vX_[2179] * vX_[186]) + vX_[1466] * vX_[195] * -1 * 2.;
+ vX_[1631] = 0 - vX_[2219];
+ vX_[2215] = vX_[1466] * vX_[186] + vX_[2179] * vX_[195] + vX_[1466] * vX_[186] * -1 * 2.;
+ vX_[2214] = 0 - vX_[2215];
+ vX_[2254] = vX_[2254] * vX_[2025];
+ vX_[2253] = vX_[2253] * vX_[2025] + vX_[2247] * vX_[1219];
+ vX_[2247] = 0 - vX_[2253];
+ vX_[2248] = vX_[2248] * vX_[1219];
+ vX_[2273] = vX_[2246] * vX_[2013] + vX_[2273] * vX_[2018];
+ vX_[2246] = vX_[8645] * x_in[31];
+ vX_[2212] = vX_[8645] * x_in[32];
+ vX_[2211] = 0 - vX_[2212] - vX_[2246];
+ vX_[9241] = 0 - vX_[2263];
+ vX_[8190] = vX_[9241] * x_in[19] + vX_[8634] * x_in[20];
+ vX_[2274] = vX_[2274] * vX_[1252];
+ vX_[1313] = vX_[8190] + vX_[2274];
+ vX_[340] = 0 - vX_[2217];
+ vX_[9011] = vX_[1154] * vX_[186] + vX_[8647] * vX_[195] + vX_[9011];
+ vX_[1064] = 0 - vX_[7998];
+ vX_[1232] = 0 - vX_[2217];
+ vX_[1110] = 0 - vX_[2254] - vX_[2248];
+ vX_[9030] = 0 - vX_[2273];
+ vX_[1339] = 0 - vX_[8190] - vX_[2274];
+ jac[487] =
+ 0 -
+ (vX_[2207] * vX_[803] + vX_[2213] * vX_[1982] + vX_[2203] * vX_[2014] + vX_[2218] * vX_[1297] +
+ vX_[289] * vX_[242] + vX_[4127] * vX_[240] + vX_[344] * vX_[241] + vX_[317] * vX_[211] +
+ vX_[8586] * vX_[199] + vX_[9165] * vX_[188] + vX_[2847] * vX_[265] + vX_[9136] * vX_[254] +
+ vX_[9160] * vX_[194] + vX_[312] * vX_[266] + vX_[8580] * vX_[193] + vX_[286] * vX_[187] +
+ vX_[283] * vX_[192] + vX_[278] * vX_[185] + vX_[1154] * vX_[204] + vX_[8647] * vX_[200] +
+ vX_[1286] * vX_[230] + vX_[9013] * vX_[228] + vX_[1466] * vX_[578] + vX_[1466] * vX_[255] +
+ vX_[2179] * vX_[257] + vX_[9157] * vX_[182] + vX_[9012] * vX_[227] +
+ (vX_[7998] * vX_[203] + vX_[1312] * vX_[213] + vX_[301] * vX_[198] + vX_[9004] * vX_[209] +
+ (vX_[9057] + vX_[301] * vX_[197]) * 4.027 + vX_[9010] * vX_[211] + vX_[1631] * vX_[193] +
+ vX_[2214] * vX_[192] + vX_[7998] * vX_[180] + vX_[301] * vX_[229]) *
+ -0.08 +
+ vX_[8589] * vX_[3339] + vX_[8162] * vX_[806] + vX_[7834] * vX_[4087] + vX_[9322] * vX_[3807] +
+ (vX_[2216] * vX_[803] + vX_[8589] * vX_[824]) * -0.08 + vX_[1845] * vX_[235] + vX_[8595] * vX_[235] -
+ vX_[2254] * vX_[167] + vX_[2255] * 0.35 + vX_[8618] * vX_[1326] + vX_[8617] * vX_[1324] +
+ vX_[9163] * vX_[1098] + vX_[9000] * vX_[1095] + vX_[9150] * vX_[1270] + vX_[9243] * vX_[235] +
+ vX_[2247] * vX_[169] + vX_[8630] * vX_[1335] + vX_[4117] * vX_[1331] + vX_[1547] * vX_[1107] +
+ vX_[9056] * vX_[1096] + vX_[1662] * vX_[1272] + vX_[1116] * vX_[163] + vX_[8629] * vX_[235] -
+ vX_[2248] * vX_[167] + vX_[2250] * vX_[1137] + vX_[8175] * vX_[1135] + vX_[2249] * vX_[1285] +
+ vX_[8641] * vX_[1283] + vX_[2273] * vX_[167] * -0.33 + vX_[8644] * vX_[1187] + vX_[8607] * vX_[1185] +
+ vX_[8167] * vX_[1205] + vX_[8621] * vX_[1221] + vX_[8584] * vX_[1166] + vX_[8603] * vX_[1218] +
+ vX_[8601] * vX_[1160] + vX_[8593] * vX_[1172] + vX_[8599] * vX_[1162] + vX_[8627] * vX_[1170] +
+ vX_[4133] * vX_[1168] + (0 - vX_[2246]) * 0.35 + vX_[2211] * vX_[169] * 0.33 + vX_[8653] * vX_[1256] +
+ vX_[9227] * vX_[1254] + vX_[559] * vX_[1249] + vX_[464] * vX_[1203] + vX_[1313] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[2207] * vX_[1982] + vX_[2203] * vX_[1297] + vX_[289] * vX_[240] + vX_[344] * vX_[211] +
+ vX_[317] * vX_[239] + vX_[8586] * vX_[254] + vX_[2847] * vX_[266] + vX_[9160] * vX_[188] +
+ vX_[8580] * vX_[192] + vX_[286] * vX_[185] + vX_[1154] * vX_[200] + vX_[1286] * vX_[228] +
+ vX_[1466] * vX_[257] + vX_[9157] * vX_[227] + vX_[9012] * vX_[224] + vX_[8162] * vX_[3339] +
+ vX_[9322] * vX_[4087] - (vX_[2213] * vX_[803] + vX_[8589] * vX_[806]) +
+ (vX_[2216] * vX_[1982] +
+ (vX_[2882] * vX_[212] + vX_[340] * vX_[203] + vX_[8220] * vX_[211] + vX_[9146] * vX_[210] +
+ (0 - (vX_[9011] + vX_[7998] * vX_[197] + vX_[340] * vX_[202])) * 4.027 + vX_[2219] * vX_[187] +
+ vX_[2215] * vX_[185] + vX_[1064] * vX_[189] + vX_[1232] * vX_[223]) *
+ -1 +
+ vX_[8162] * vX_[824]) *
+ -0.08 -
+ (vX_[2218] * vX_[2014] + vX_[4127] * vX_[242] + vX_[9165] * vX_[194] + vX_[9136] * vX_[199] +
+ vX_[312] * vX_[265] + vX_[283] * vX_[193] + vX_[278] * vX_[187] + vX_[8647] * vX_[204] +
+ vX_[9013] * vX_[230] + vX_[1466] * vX_[256] + vX_[2179] * vX_[255] + vX_[7834] * vX_[3807]) +
+ vX_[9156] * vX_[163] + vX_[1556] * vX_[163] + vX_[2270] * vX_[1320] + vX_[2238] * vX_[1091] +
+ vX_[8618] * vX_[1327] + vX_[8608] * vX_[1323] + vX_[9163] * vX_[1099] + vX_[2861] * vX_[1096] +
+ vX_[2021] * vX_[1272] + vX_[1607] * vX_[163] + vX_[2253] * vX_[167] + vX_[8630] * vX_[1334] +
+ vX_[4117] * vX_[1332] + vX_[8620] * vX_[1106] + vX_[9056] * vX_[1104] + vX_[2222] * vX_[1276] +
+ vX_[2235] * vX_[163] + vX_[2236] * vX_[235] + vX_[1110] * vX_[169] + vX_[2876] * vX_[1133] +
+ vX_[5378] * vX_[1281] + (0 - vX_[2273]) * 0.35 + vX_[9030] * vX_[169] * 0.33 + vX_[8770] * vX_[1183] +
+ vX_[8605] * vX_[1201] + vX_[2241] * vX_[1223] + vX_[1156] * vX_[1213] + vX_[8626] * vX_[1168] +
+ vX_[8598] * vX_[1216] + vX_[8594] * vX_[1174] + vX_[8602] * vX_[1164] + vX_[8600] * vX_[1160] +
+ vX_[2452] * vX_[1166] + vX_[2212] * vX_[167] * 0.33 + vX_[2246] * vX_[167] * 0.33 + vX_[8612] * vX_[1178] +
+ vX_[8123] * vX_[1247] + (0 - vX_[8190] - vX_[2274]) * 0.35 + vX_[1339] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[8184] = vX_[2520] + vX_[8184] * vX_[235] + vX_[8200] * vX_[249];
+ vX_[8213] = vX_[2520] + vX_[8186] * vX_[249] + vX_[8213] * vX_[247];
+ vX_[8183] = vX_[926] + vX_[1846] + vX_[2520] - vX_[8184] - vX_[8213] + vX_[2243] * vX_[236] + vX_[8183] * vX_[165];
+ vX_[8213] = vX_[8213] + vX_[9190] * vX_[165] + vX_[1739] * vX_[251] + vX_[2613] * vX_[1860];
+ vX_[9190] = vX_[8183] - vX_[8213];
+ vX_[723] = vX_[3411] * vX_[235] + vX_[723] * vX_[249] + vX_[2223] * vX_[251] + vX_[9182] * vX_[236] +
+ vX_[8192] * vX_[165] + vX_[2607] * vX_[1860];
+ vX_[8192] = vX_[9190] * vX_[186] + vX_[723] * vX_[195];
+ vX_[9182] = vX_[9190] * vX_[166] + vX_[723] * vX_[186];
+ vX_[8206] = vX_[2259] + vX_[8206] * vX_[165] + vX_[1383] * vX_[236] * 2. + vX_[2607] * vX_[2019];
+ vX_[2259] = 0 - vX_[723];
+ vX_[7738] = 0 - (vX_[8186] * vX_[235] + vX_[8200] * vX_[247] + vX_[8212] * vX_[249] + vX_[2267] * vX_[165] +
+ vX_[7738] * vX_[236] + vX_[8191] * vX_[251] + vX_[2579] * vX_[1860] + vX_[2613] * vX_[1852]);
+ vX_[8212] = 0 - vX_[8213];
+ vX_[3676] =
+ vX_[8157] + vX_[3676] * vX_[165] + vX_[8198] * vX_[251] * 2. + vX_[2613] * vX_[2019] + vX_[2616] * vX_[1860];
+ vX_[8198] = 0 - vX_[3676];
+ vX_[8197] = vX_[489] + vX_[8217] * vX_[165] + vX_[8197] * vX_[251] + vX_[2613] * vX_[2017] + vX_[2618] * vX_[1860];
+ vX_[489] = 0 - vX_[8197];
+ vX_[8217] = (vX_[8212] * vX_[196] + vX_[8198] * vX_[258] + vX_[489] * vX_[267]) * 1 / vX_[232];
+ vX_[8212] = vX_[2614] * vX_[1114] + vX_[2259] * vX_[245] + vX_[7738] * vX_[233] + vX_[8212] * vX_[261] + vX_[8217];
+ vX_[8166] = vX_[7756] + vX_[4394] * vX_[236] + vX_[8166] * vX_[165] * 2. + vX_[2607] * vX_[2017];
+ vX_[8183] = 0 - vX_[8183];
+ vX_[8201] = 0 - (0 - (vX_[3411] * vX_[249] + vX_[8201] * vX_[247]) + vX_[9063] * vX_[251] + vX_[9302] * vX_[165] +
+ vX_[9305] * vX_[236] + vX_[2607] * vX_[1852]);
+ vX_[9305] = 0 - vX_[8206];
+ vX_[3411] = 0 - vX_[8166];
+ vX_[2259] = (vX_[8183] * vX_[244] + vX_[8201] * vX_[206] + vX_[2259] * vX_[196] + vX_[9305] * vX_[258] +
+ vX_[3411] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[8183] = vX_[2611] * vX_[1114] + vX_[8183] * vX_[245] + vX_[2259];
+ vX_[9302] = vX_[8212] * vX_[195] + vX_[8183] * vX_[186];
+ vX_[9063] = vX_[8212] * vX_[186] + vX_[8183] * vX_[166];
+ vX_[7756] = vX_[8166] * vX_[186] + vX_[8197] * vX_[195];
+ vX_[8157] = vX_[8166] * vX_[166] + vX_[8197] * vX_[186];
+ vX_[470] =
+ vX_[8218] + vX_[470] * vX_[236] + vX_[538] * vX_[251] * 2. + vX_[2579] * vX_[2017] + vX_[2618] * vX_[1852];
+ vX_[8218] = vX_[3676] - vX_[470];
+ vX_[8184] = 0 - (vX_[8184] + vX_[1723] * vX_[236] + vX_[9295] * vX_[251] + vX_[2579] * vX_[1852]);
+ vX_[9328] =
+ 0 - (vX_[9328] + vX_[8158] * vX_[236] + vX_[4394] * vX_[251] + vX_[2579] * vX_[2019] + vX_[2616] * vX_[1852]);
+ vX_[470] = 0 - vX_[470];
+ vX_[7738] =
+ (vX_[8184] * vX_[206] + vX_[7738] * vX_[196] + vX_[9328] * vX_[258] + vX_[470] * vX_[267]) * 1 / vX_[232];
+ vX_[8184] = 0 - vX_[8206] + vX_[2612] * vX_[1114] + vX_[8201] * vX_[245] + vX_[8184] * vX_[233] + vX_[7738];
+ vX_[538] = vX_[538] + vX_[2618] * vX_[2017];
+ vX_[1383] = vX_[1383] + vX_[2616] * vX_[2019];
+ vX_[8201] = 0 - vX_[1383];
+ vX_[4394] = vX_[4394] + vX_[2616] * vX_[2017] + vX_[2618] * vX_[2019];
+ vX_[8158] = 0 - vX_[4394];
+ vX_[2579] = (vX_[8201] * vX_[258] + vX_[8158] * vX_[267]) * 1 / vX_[232];
+ vX_[1723] = 0 - vX_[538];
+ vX_[9295] = vX_[1723] * vX_[267] * 1 / vX_[232];
+ vX_[7738] = 0 - vX_[2611] * vX_[1772] - vX_[2612] * vX_[3822] - vX_[2614] * vX_[1086] - vX_[2615] * vX_[4089] +
+ vX_[2615] * vX_[1114] - vX_[2617] * vX_[1092] - vX_[2619] * vX_[1652] - vX_[2259] * vX_[245] -
+ vX_[7738] * vX_[233] - vX_[8217] * vX_[261] - vX_[2579] * vX_[525] - vX_[9295] * vX_[534];
+ vX_[2259] = 0 - vX_[538] + vX_[7738];
+ vX_[9295] = vX_[2619] * vX_[1114] + vX_[3411] * vX_[245] + vX_[470] * vX_[233] + vX_[489] * vX_[261] +
+ vX_[8158] * vX_[525] + vX_[1723] * vX_[534] + vX_[9295];
+ vX_[2579] = vX_[2617] * vX_[1114] + vX_[9305] * vX_[245] + vX_[9328] * vX_[233] + vX_[8198] * vX_[261] +
+ vX_[8201] * vX_[525] + vX_[2579];
+ vX_[8201] = vX_[2259] * vX_[186] + vX_[9295] * vX_[195];
+ vX_[9328] = vX_[2259] * vX_[166] + vX_[9295] * vX_[186];
+ vX_[9305] = vX_[8201] * vX_[166] + vX_[9328] * vX_[186];
+ vX_[8198] = vX_[538] + vX_[8201] * vX_[186];
+ vX_[2617] = vX_[538] + vX_[9328] * vX_[166];
+ vX_[7738] = vX_[1383] + vX_[538] + vX_[7738] - vX_[8198] - vX_[2617];
+ vX_[1383] = 0 - vX_[7738];
+ vX_[538] = (vX_[8206] * vX_[186] + vX_[3676] * vX_[195]) * -1;
+ vX_[1723] = vX_[538] + vX_[1383] * vX_[197];
+ vX_[8158] = 0 - vX_[1723];
+ vX_[538] = 0 - (vX_[8218] * vX_[166] + vX_[8184] * vX_[186]) + vX_[538];
+ vX_[470] = (vX_[8206] * vX_[166] + vX_[3676] * vX_[186]) * -1;
+ vX_[3411] = vX_[470] + vX_[7738] * vX_[202];
+ vX_[489] = 0 - vX_[3411];
+ vX_[2619] = 0 - (vX_[4394] * vX_[166] + vX_[2579] * vX_[186]) + vX_[4394] * vX_[195] * -1 * 2.;
+ vX_[8217] = 0 - vX_[2619];
+ vX_[2615] = vX_[4394] * vX_[186] + vX_[2579] * vX_[195] + vX_[4394] * vX_[186] * -1 * 2.;
+ vX_[2614] = 0 - vX_[2615];
+ vX_[2654] = vX_[2654] * vX_[2025];
+ vX_[2653] = vX_[2653] * vX_[2025] + vX_[2647] * vX_[1219];
+ vX_[2647] = 0 - vX_[2653];
+ vX_[2648] = vX_[2648] * vX_[1219];
+ vX_[2673] = vX_[2646] * vX_[2013] + vX_[2673] * vX_[2018];
+ vX_[2646] = vX_[7704] * x_in[31];
+ vX_[2612] = vX_[7704] * x_in[32];
+ vX_[2611] = 0 - vX_[2612] - vX_[2646];
+ vX_[8200] = 0 - vX_[2663];
+ vX_[8186] = vX_[8200] * x_in[19] + vX_[7309] * x_in[20];
+ vX_[2674] = vX_[2674] * vX_[1252];
+ vX_[2267] = vX_[8186] + vX_[2674];
+ vX_[8191] = 0 - vX_[2617];
+ vX_[470] = vX_[8218] * vX_[186] + vX_[8184] * vX_[195] + vX_[470];
+ vX_[2223] = 0 - vX_[9305];
+ vX_[1739] = 0 - vX_[2617];
+ vX_[2243] = 0 - vX_[2654] - vX_[2648];
+ vX_[340] = 0 - vX_[2673];
+ vX_[2274] = 0 - vX_[8186] - vX_[2674];
+ jac[488] =
+ 0 -
+ (vX_[2607] * vX_[803] + vX_[2613] * vX_[1982] + vX_[2603] * vX_[2014] + vX_[2618] * vX_[1297] +
+ vX_[9190] * vX_[242] + vX_[723] * vX_[240] + vX_[8192] * vX_[241] + vX_[9182] * vX_[211] +
+ vX_[8206] * vX_[199] + vX_[8212] * vX_[188] + vX_[8166] * vX_[265] + vX_[3676] * vX_[254] +
+ vX_[8183] * vX_[194] + vX_[8197] * vX_[266] + vX_[9302] * vX_[193] + vX_[9063] * vX_[187] +
+ vX_[7756] * vX_[192] + vX_[8157] * vX_[185] + vX_[8218] * vX_[204] + vX_[8184] * vX_[200] +
+ vX_[2259] * vX_[230] + vX_[9295] * vX_[228] + vX_[4394] * vX_[578] + vX_[4394] * vX_[255] +
+ vX_[2579] * vX_[257] + vX_[8201] * vX_[182] + vX_[9328] * vX_[227] +
+ (vX_[9305] * vX_[203] + vX_[1383] * vX_[213] + vX_[8198] * vX_[198] + vX_[8158] * vX_[209] +
+ (vX_[538] + vX_[8198] * vX_[197]) * 4.027 + vX_[489] * vX_[211] + vX_[8217] * vX_[193] +
+ vX_[2614] * vX_[192] + vX_[9305] * vX_[180] + vX_[8198] * vX_[229]) *
+ -0.08 +
+ vX_[9280] * vX_[3339] + vX_[9281] * vX_[806] + vX_[8165] * vX_[4087] + vX_[437] * vX_[3807] +
+ (vX_[2616] * vX_[803] + vX_[9280] * vX_[824]) * -0.08 + vX_[1906] * vX_[235] + vX_[1305] * vX_[235] -
+ vX_[2654] * vX_[167] + vX_[2655] * 0.35 + vX_[7739] * vX_[1326] + vX_[9098] * vX_[1324] +
+ vX_[656] * vX_[1098] + vX_[5370] * vX_[1095] + vX_[9230] * vX_[1270] + vX_[9330] * vX_[235] +
+ vX_[2647] * vX_[169] + vX_[7344] * vX_[1335] + vX_[3268] * vX_[1331] + vX_[1191] * vX_[1107] +
+ vX_[9015] * vX_[1096] + vX_[8267] * vX_[1272] + vX_[8587] * vX_[163] + vX_[7798] * vX_[235] -
+ vX_[2648] * vX_[167] + vX_[2650] * vX_[1137] + vX_[8178] * vX_[1135] + vX_[2649] * vX_[1285] +
+ vX_[1670] * vX_[1283] + vX_[2673] * vX_[167] * -0.33 + vX_[7329] * vX_[1187] + vX_[3092] * vX_[1185] +
+ vX_[7772] * vX_[1205] + vX_[8176] * vX_[1221] + vX_[8202] * vX_[1166] + vX_[7779] * vX_[1218] +
+ vX_[1729] * vX_[1160] + vX_[1726] * vX_[1172] + vX_[7783] * vX_[1162] + vX_[8168] * vX_[1170] +
+ vX_[8205] * vX_[1168] + (0 - vX_[2646]) * 0.35 + vX_[2611] * vX_[169] * 0.33 + vX_[1953] * vX_[1256] +
+ vX_[7732] * vX_[1254] + vX_[7786] * vX_[1249] + vX_[7785] * vX_[1203] + vX_[2267] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[2607] * vX_[1982] + vX_[2603] * vX_[1297] + vX_[9190] * vX_[240] + vX_[8192] * vX_[211] +
+ vX_[9182] * vX_[239] + vX_[8206] * vX_[254] + vX_[8166] * vX_[266] + vX_[8183] * vX_[188] +
+ vX_[9302] * vX_[192] + vX_[9063] * vX_[185] + vX_[8218] * vX_[200] + vX_[2259] * vX_[228] +
+ vX_[4394] * vX_[257] + vX_[8201] * vX_[227] + vX_[9328] * vX_[224] + vX_[9281] * vX_[3339] +
+ vX_[437] * vX_[4087] - (vX_[2613] * vX_[803] + vX_[9280] * vX_[806]) +
+ (vX_[2616] * vX_[1982] +
+ (vX_[7738] * vX_[212] + vX_[8191] * vX_[203] + vX_[1723] * vX_[211] + vX_[3411] * vX_[210] +
+ (0 - (vX_[470] + vX_[9305] * vX_[197] + vX_[8191] * vX_[202])) * 4.027 + vX_[2619] * vX_[187] +
+ vX_[2615] * vX_[185] + vX_[2223] * vX_[189] + vX_[1739] * vX_[223]) *
+ -1 +
+ vX_[9281] * vX_[824]) *
+ -0.08 -
+ (vX_[2618] * vX_[2014] + vX_[723] * vX_[242] + vX_[8212] * vX_[194] + vX_[3676] * vX_[199] +
+ vX_[8197] * vX_[265] + vX_[7756] * vX_[193] + vX_[8157] * vX_[187] + vX_[8184] * vX_[204] +
+ vX_[9295] * vX_[230] + vX_[4394] * vX_[256] + vX_[2579] * vX_[255] + vX_[8165] * vX_[3807]) +
+ vX_[9260] * vX_[163] + vX_[277] * vX_[163] + vX_[2670] * vX_[1320] + vX_[2638] * vX_[1091] +
+ vX_[7739] * vX_[1327] + vX_[8427] * vX_[1323] + vX_[656] * vX_[1099] + vX_[1395] * vX_[1096] +
+ vX_[9142] * vX_[1272] + vX_[924] * vX_[163] + vX_[2653] * vX_[167] + vX_[7344] * vX_[1334] +
+ vX_[3268] * vX_[1332] + vX_[8174] * vX_[1106] + vX_[9015] * vX_[1104] + vX_[2622] * vX_[1276] +
+ vX_[2635] * vX_[163] + vX_[2636] * vX_[235] + vX_[2243] * vX_[169] + vX_[7316] * vX_[1133] +
+ vX_[1815] * vX_[1281] + (0 - vX_[2673]) * 0.35 + vX_[340] * vX_[169] * 0.33 + vX_[9191] * vX_[1183] +
+ vX_[7778] * vX_[1201] + vX_[2641] * vX_[1223] + vX_[8687] * vX_[1213] + vX_[8169] * vX_[1168] +
+ vX_[503] * vX_[1216] + vX_[1718] * vX_[1174] + vX_[1727] * vX_[1164] + vX_[1756] * vX_[1160] +
+ vX_[2852] * vX_[1166] + vX_[2612] * vX_[167] * 0.33 + vX_[2646] * vX_[167] * 0.33 + vX_[1905] * vX_[1178] +
+ vX_[7796] * vX_[1247] + (0 - vX_[8186] - vX_[2674]) * 0.35 + vX_[2274] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[3343] = vX_[2947] + vX_[3343] * vX_[235] + vX_[7371] * vX_[249];
+ vX_[3643] = vX_[2947] + vX_[7372] * vX_[249] + vX_[3643] * vX_[247];
+ vX_[950] = vX_[8325] + vX_[3721] + vX_[2947] - vX_[3343] - vX_[3643] + vX_[2643] * vX_[236] + vX_[950] * vX_[165];
+ vX_[3643] = vX_[3643] + vX_[7761] * vX_[165] + vX_[8281] * vX_[251] + vX_[3040] * vX_[1860];
+ vX_[7761] = vX_[950] - vX_[3643];
+ vX_[2046] = vX_[2808] * vX_[235] + vX_[2046] * vX_[249] + vX_[2623] * vX_[251] + vX_[7782] * vX_[236] +
+ vX_[7757] * vX_[165] + vX_[3034] * vX_[1860];
+ vX_[7757] = vX_[7761] * vX_[186] + vX_[2046] * vX_[195];
+ vX_[7782] = vX_[7761] * vX_[166] + vX_[2046] * vX_[186];
+ vX_[3091] = vX_[2659] + vX_[3091] * vX_[165] + vX_[840] * vX_[236] * 2. + vX_[3034] * vX_[2019];
+ vX_[2659] = 0 - vX_[2046];
+ vX_[7360] = 0 - (vX_[7372] * vX_[235] + vX_[7371] * vX_[247] + vX_[2775] * vX_[249] + vX_[2667] * vX_[165] +
+ vX_[7360] * vX_[236] + vX_[7755] * vX_[251] + vX_[3006] * vX_[1860] + vX_[3040] * vX_[1852]);
+ vX_[2775] = 0 - vX_[3643];
+ vX_[1700] =
+ vX_[7787] + vX_[1700] * vX_[165] + vX_[7749] * vX_[251] * 2. + vX_[3040] * vX_[2019] + vX_[3043] * vX_[1860];
+ vX_[7749] = 0 - vX_[1700];
+ vX_[7750] = vX_[7321] + vX_[7794] * vX_[165] + vX_[7750] * vX_[251] + vX_[3040] * vX_[2017] + vX_[3045] * vX_[1860];
+ vX_[7321] = 0 - vX_[7750];
+ vX_[7794] = (vX_[2775] * vX_[196] + vX_[7749] * vX_[258] + vX_[7321] * vX_[267]) * 1 / vX_[232];
+ vX_[2775] = vX_[3041] * vX_[1114] + vX_[2659] * vX_[245] + vX_[7360] * vX_[233] + vX_[2775] * vX_[261] + vX_[7794];
+ vX_[1681] = vX_[7759] + vX_[1208] * vX_[236] + vX_[1681] * vX_[165] * 2. + vX_[3034] * vX_[2017];
+ vX_[950] = 0 - vX_[950];
+ vX_[6917] = 0 - (0 - (vX_[2808] * vX_[249] + vX_[6917] * vX_[247]) + vX_[9097] * vX_[251] + vX_[1750] * vX_[165] +
+ vX_[7311] * vX_[236] + vX_[3034] * vX_[1852]);
+ vX_[7311] = 0 - vX_[3091];
+ vX_[2808] = 0 - vX_[1681];
+ vX_[2659] = (vX_[950] * vX_[244] + vX_[6917] * vX_[206] + vX_[2659] * vX_[196] + vX_[7311] * vX_[258] +
+ vX_[2808] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[950] = vX_[3038] * vX_[1114] + vX_[950] * vX_[245] + vX_[2659];
+ vX_[1750] = vX_[2775] * vX_[195] + vX_[950] * vX_[186];
+ vX_[9097] = vX_[2775] * vX_[186] + vX_[950] * vX_[166];
+ vX_[7759] = vX_[1681] * vX_[186] + vX_[7750] * vX_[195];
+ vX_[7787] = vX_[1681] * vX_[166] + vX_[7750] * vX_[186];
+ vX_[2768] =
+ vX_[7765] + vX_[2768] * vX_[236] + vX_[287] * vX_[251] * 2. + vX_[3006] * vX_[2017] + vX_[3045] * vX_[1852];
+ vX_[7765] = vX_[1700] - vX_[2768];
+ vX_[3343] = 0 - (vX_[3343] + vX_[7094] * vX_[236] + vX_[1895] * vX_[251] + vX_[3006] * vX_[1852]);
+ vX_[9377] =
+ 0 - (vX_[9377] + vX_[7769] * vX_[236] + vX_[1208] * vX_[251] + vX_[3006] * vX_[2019] + vX_[3043] * vX_[1852]);
+ vX_[2768] = 0 - vX_[2768];
+ vX_[7360] =
+ (vX_[3343] * vX_[206] + vX_[7360] * vX_[196] + vX_[9377] * vX_[258] + vX_[2768] * vX_[267]) * 1 / vX_[232];
+ vX_[3343] = 0 - vX_[3091] + vX_[3039] * vX_[1114] + vX_[6917] * vX_[245] + vX_[3343] * vX_[233] + vX_[7360];
+ vX_[287] = vX_[287] + vX_[3045] * vX_[2017];
+ vX_[840] = vX_[840] + vX_[3043] * vX_[2019];
+ vX_[6917] = 0 - vX_[840];
+ vX_[1208] = vX_[1208] + vX_[3043] * vX_[2017] + vX_[3045] * vX_[2019];
+ vX_[7769] = 0 - vX_[1208];
+ vX_[3006] = (vX_[6917] * vX_[258] + vX_[7769] * vX_[267]) * 1 / vX_[232];
+ vX_[7094] = 0 - vX_[287];
+ vX_[1895] = vX_[7094] * vX_[267] * 1 / vX_[232];
+ vX_[7360] = 0 - vX_[3038] * vX_[1772] - vX_[3039] * vX_[3822] - vX_[3041] * vX_[1086] - vX_[3042] * vX_[4089] +
+ vX_[3042] * vX_[1114] - vX_[3044] * vX_[1092] - vX_[3046] * vX_[1652] - vX_[2659] * vX_[245] -
+ vX_[7360] * vX_[233] - vX_[7794] * vX_[261] - vX_[3006] * vX_[525] - vX_[1895] * vX_[534];
+ vX_[2659] = 0 - vX_[287] + vX_[7360];
+ vX_[1895] = vX_[3046] * vX_[1114] + vX_[2808] * vX_[245] + vX_[2768] * vX_[233] + vX_[7321] * vX_[261] +
+ vX_[7769] * vX_[525] + vX_[7094] * vX_[534] + vX_[1895];
+ vX_[3006] = vX_[3044] * vX_[1114] + vX_[7311] * vX_[245] + vX_[9377] * vX_[233] + vX_[7749] * vX_[261] +
+ vX_[6917] * vX_[525] + vX_[3006];
+ vX_[6917] = vX_[2659] * vX_[186] + vX_[1895] * vX_[195];
+ vX_[9377] = vX_[2659] * vX_[166] + vX_[1895] * vX_[186];
+ vX_[7311] = vX_[6917] * vX_[166] + vX_[9377] * vX_[186];
+ vX_[7749] = vX_[287] + vX_[6917] * vX_[186];
+ vX_[3044] = vX_[287] + vX_[9377] * vX_[166];
+ vX_[7360] = vX_[840] + vX_[287] + vX_[7360] - vX_[7749] - vX_[3044];
+ vX_[840] = 0 - vX_[7360];
+ vX_[287] = (vX_[3091] * vX_[186] + vX_[1700] * vX_[195]) * -1;
+ vX_[7094] = vX_[287] + vX_[840] * vX_[197];
+ vX_[7769] = 0 - vX_[7094];
+ vX_[287] = 0 - (vX_[7765] * vX_[166] + vX_[3343] * vX_[186]) + vX_[287];
+ vX_[2768] = (vX_[3091] * vX_[166] + vX_[1700] * vX_[186]) * -1;
+ vX_[2808] = vX_[2768] + vX_[7360] * vX_[202];
+ vX_[7321] = 0 - vX_[2808];
+ vX_[3046] = 0 - (vX_[1208] * vX_[166] + vX_[3006] * vX_[186]) + vX_[1208] * vX_[195] * -1 * 2.;
+ vX_[7794] = 0 - vX_[3046];
+ vX_[3042] = vX_[1208] * vX_[186] + vX_[3006] * vX_[195] + vX_[1208] * vX_[186] * -1 * 2.;
+ vX_[3041] = 0 - vX_[3042];
+ vX_[3081] = vX_[3081] * vX_[2025];
+ vX_[3080] = vX_[3080] * vX_[2025] + vX_[3074] * vX_[1219];
+ vX_[3074] = 0 - vX_[3080];
+ vX_[3075] = vX_[3075] * vX_[1219];
+ vX_[3100] = vX_[3073] * vX_[2013] + vX_[3100] * vX_[2018];
+ vX_[3073] = vX_[7369] * x_in[31];
+ vX_[3039] = vX_[7369] * x_in[32];
+ vX_[3038] = 0 - vX_[3039] - vX_[3073];
+ vX_[7371] = 0 - vX_[3090];
+ vX_[7372] = vX_[7371] * x_in[19] + vX_[7370] * x_in[20];
+ vX_[3101] = vX_[3101] * vX_[1252];
+ vX_[2667] = vX_[7372] + vX_[3101];
+ vX_[7755] = 0 - vX_[3044];
+ vX_[2768] = vX_[7765] * vX_[186] + vX_[3343] * vX_[195] + vX_[2768];
+ vX_[2623] = 0 - vX_[7311];
+ vX_[8281] = 0 - vX_[3044];
+ vX_[2643] = 0 - vX_[3081] - vX_[3075];
+ vX_[8191] = 0 - vX_[3100];
+ vX_[2674] = 0 - vX_[7372] - vX_[3101];
+ jac[489] =
+ 0 -
+ (vX_[3034] * vX_[803] + vX_[3040] * vX_[1982] + vX_[3030] * vX_[2014] + vX_[3045] * vX_[1297] +
+ vX_[7761] * vX_[242] + vX_[2046] * vX_[240] + vX_[7757] * vX_[241] + vX_[7782] * vX_[211] +
+ vX_[3091] * vX_[199] + vX_[2775] * vX_[188] + vX_[1681] * vX_[265] + vX_[1700] * vX_[254] +
+ vX_[950] * vX_[194] + vX_[7750] * vX_[266] + vX_[1750] * vX_[193] + vX_[9097] * vX_[187] +
+ vX_[7759] * vX_[192] + vX_[7787] * vX_[185] + vX_[7765] * vX_[204] + vX_[3343] * vX_[200] +
+ vX_[2659] * vX_[230] + vX_[1895] * vX_[228] + vX_[1208] * vX_[578] + vX_[1208] * vX_[255] +
+ vX_[3006] * vX_[257] + vX_[6917] * vX_[182] + vX_[9377] * vX_[227] +
+ (vX_[7311] * vX_[203] + vX_[840] * vX_[213] + vX_[7749] * vX_[198] + vX_[7769] * vX_[209] +
+ (vX_[287] + vX_[7749] * vX_[197]) * 4.027 + vX_[7321] * vX_[211] + vX_[7794] * vX_[193] +
+ vX_[3041] * vX_[192] + vX_[7311] * vX_[180] + vX_[7749] * vX_[229]) *
+ -0.08 +
+ vX_[6889] * vX_[3339] + vX_[8283] * vX_[806] + vX_[9342] * vX_[4087] + vX_[3285] * vX_[3807] +
+ (vX_[3043] * vX_[803] + vX_[6889] * vX_[824]) * -0.08 + vX_[7320] * vX_[235] + vX_[7333] * vX_[235] -
+ vX_[3081] * vX_[167] + vX_[3082] * 0.35 + vX_[7342] * vX_[1326] + vX_[7355] * vX_[1324] +
+ vX_[7346] * vX_[1098] + vX_[7158] * vX_[1095] + vX_[7314] * vX_[1270] + vX_[6953] * vX_[235] +
+ vX_[3074] * vX_[169] + vX_[7340] * vX_[1335] + vX_[7354] * vX_[1331] + vX_[8189] * vX_[1107] +
+ vX_[1655] * vX_[1096] + vX_[478] * vX_[1272] + vX_[8188] * vX_[163] + vX_[7367] * vX_[235] -
+ vX_[3075] * vX_[167] + vX_[3077] * vX_[1137] + vX_[3665] * vX_[1135] + vX_[3076] * vX_[1285] +
+ vX_[2368] * vX_[1283] + vX_[3100] * vX_[167] * -0.33 + vX_[7332] * vX_[1187] + vX_[1974] * vX_[1185] +
+ vX_[7328] * vX_[1205] + vX_[7351] * vX_[1221] + vX_[2786] * vX_[1166] + vX_[7322] * vX_[1218] +
+ vX_[7324] * vX_[1160] + vX_[7326] * vX_[1172] + vX_[6789] * vX_[1162] + vX_[9324] * vX_[1170] +
+ vX_[6882] * vX_[1168] + (0 - vX_[3073]) * 0.35 + vX_[3038] * vX_[169] * 0.33 + vX_[2388] * vX_[1256] +
+ vX_[996] * vX_[1254] + vX_[6465] * vX_[1249] + vX_[2361] * vX_[1203] + vX_[2667] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[3034] * vX_[1982] + vX_[3030] * vX_[1297] + vX_[7761] * vX_[240] + vX_[7757] * vX_[211] +
+ vX_[7782] * vX_[239] + vX_[3091] * vX_[254] + vX_[1681] * vX_[266] + vX_[950] * vX_[188] +
+ vX_[1750] * vX_[192] + vX_[9097] * vX_[185] + vX_[7765] * vX_[200] + vX_[2659] * vX_[228] +
+ vX_[1208] * vX_[257] + vX_[6917] * vX_[227] + vX_[9377] * vX_[224] + vX_[8283] * vX_[3339] +
+ vX_[3285] * vX_[4087] - (vX_[3040] * vX_[803] + vX_[6889] * vX_[806]) +
+ (vX_[3043] * vX_[1982] +
+ (vX_[7360] * vX_[212] + vX_[7755] * vX_[203] + vX_[7094] * vX_[211] + vX_[2808] * vX_[210] +
+ (0 - (vX_[2768] + vX_[7311] * vX_[197] + vX_[7755] * vX_[202])) * 4.027 + vX_[3046] * vX_[187] +
+ vX_[3042] * vX_[185] + vX_[2623] * vX_[189] + vX_[8281] * vX_[223]) *
+ -1 +
+ vX_[8283] * vX_[824]) *
+ -0.08 -
+ (vX_[3045] * vX_[2014] + vX_[2046] * vX_[242] + vX_[2775] * vX_[194] + vX_[1700] * vX_[199] +
+ vX_[7750] * vX_[265] + vX_[7759] * vX_[193] + vX_[7787] * vX_[187] + vX_[3343] * vX_[204] +
+ vX_[1895] * vX_[230] + vX_[1208] * vX_[256] + vX_[3006] * vX_[255] + vX_[9342] * vX_[3807]) +
+ vX_[7751] * vX_[163] + vX_[9317] * vX_[163] + vX_[3097] * vX_[1320] + vX_[3065] * vX_[1091] +
+ vX_[7342] * vX_[1327] + vX_[6936] * vX_[1323] + vX_[7346] * vX_[1099] + vX_[1384] * vX_[1096] +
+ vX_[462] * vX_[1272] + vX_[1958] * vX_[163] + vX_[3080] * vX_[167] + vX_[7340] * vX_[1334] +
+ vX_[7354] * vX_[1332] + vX_[7352] * vX_[1106] + vX_[1655] * vX_[1104] + vX_[3049] * vX_[1276] +
+ vX_[3062] * vX_[163] + vX_[3063] * vX_[235] + vX_[2643] * vX_[169] + vX_[3661] * vX_[1133] +
+ vX_[3226] * vX_[1281] + (0 - vX_[3100]) * 0.35 + vX_[8191] * vX_[169] * 0.33 + vX_[8802] * vX_[1183] +
+ vX_[7323] * vX_[1201] + vX_[3068] * vX_[1223] + vX_[7753] * vX_[1213] + vX_[509] * vX_[1168] +
+ vX_[7319] * vX_[1216] + vX_[7327] * vX_[1174] + vX_[7325] * vX_[1164] + vX_[6887] * vX_[1160] +
+ vX_[3279] * vX_[1166] + vX_[3039] * vX_[167] * 0.33 + vX_[3073] * vX_[167] * 0.33 + vX_[3302] * vX_[1178] +
+ vX_[5835] * vX_[1247] + (0 - vX_[7372] - vX_[3101]) * 0.35 + vX_[2674] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[6939] = vX_[3353] + vX_[6939] * vX_[235] + vX_[6940] * vX_[249];
+ vX_[8921] = vX_[3353] + vX_[6911] * vX_[249] + vX_[8921] * vX_[247];
+ vX_[2129] = vX_[7462] + vX_[2951] + vX_[3353] - vX_[6939] - vX_[8921] + vX_[3070] * vX_[236] + vX_[2129] * vX_[165];
+ vX_[8921] = vX_[8921] + vX_[3220] * vX_[165] + vX_[3230] * vX_[251] + vX_[3446] * vX_[1860];
+ vX_[3220] = vX_[2129] - vX_[8921];
+ vX_[6927] = vX_[3593] * vX_[235] + vX_[6927] * vX_[249] + vX_[3050] * vX_[251] + vX_[6498] * vX_[236] +
+ vX_[6924] * vX_[165] + vX_[3440] * vX_[1860];
+ vX_[6924] = vX_[3220] * vX_[186] + vX_[6927] * vX_[195];
+ vX_[6498] = vX_[3220] * vX_[166] + vX_[6927] * vX_[186];
+ vX_[6916] = vX_[3086] + vX_[6916] * vX_[165] + vX_[9031] * vX_[236] * 2. + vX_[3440] * vX_[2019];
+ vX_[3086] = 0 - vX_[6927];
+ vX_[3233] = 0 - (vX_[6911] * vX_[235] + vX_[6940] * vX_[247] + vX_[6261] * vX_[249] + vX_[3094] * vX_[165] +
+ vX_[3233] * vX_[236] + vX_[6925] * vX_[251] + vX_[3412] * vX_[1860] + vX_[3446] * vX_[1852]);
+ vX_[6261] = 0 - vX_[8921];
+ vX_[6893] =
+ vX_[2130] + vX_[6893] * vX_[165] + vX_[1945] * vX_[251] * 2. + vX_[3446] * vX_[2019] + vX_[3449] * vX_[1860];
+ vX_[1945] = 0 - vX_[6893];
+ vX_[1712] = vX_[6918] + vX_[2419] * vX_[165] + vX_[1712] * vX_[251] + vX_[3446] * vX_[2017] + vX_[3451] * vX_[1860];
+ vX_[6918] = 0 - vX_[1712];
+ vX_[2419] = (vX_[6261] * vX_[196] + vX_[1945] * vX_[258] + vX_[6918] * vX_[267]) * 1 / vX_[232];
+ vX_[6261] = vX_[3447] * vX_[1114] + vX_[3086] * vX_[245] + vX_[3233] * vX_[233] + vX_[6261] * vX_[261] + vX_[2419];
+ vX_[6906] = vX_[5809] + vX_[285] * vX_[236] + vX_[6906] * vX_[165] * 2. + vX_[3440] * vX_[2017];
+ vX_[2129] = 0 - vX_[2129];
+ vX_[6913] = 0 - (0 - (vX_[3593] * vX_[249] + vX_[6913] * vX_[247]) + vX_[1573] * vX_[251] + vX_[4002] * vX_[165] +
+ vX_[6933] * vX_[236] + vX_[3440] * vX_[1852]);
+ vX_[6933] = 0 - vX_[6916];
+ vX_[3593] = 0 - vX_[6906];
+ vX_[3086] = (vX_[2129] * vX_[244] + vX_[6913] * vX_[206] + vX_[3086] * vX_[196] + vX_[6933] * vX_[258] +
+ vX_[3593] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[2129] = vX_[3444] * vX_[1114] + vX_[2129] * vX_[245] + vX_[3086];
+ vX_[4002] = vX_[6261] * vX_[195] + vX_[2129] * vX_[186];
+ vX_[1573] = vX_[6261] * vX_[186] + vX_[2129] * vX_[166];
+ vX_[5809] = vX_[6906] * vX_[186] + vX_[1712] * vX_[195];
+ vX_[2130] = vX_[6906] * vX_[166] + vX_[1712] * vX_[186];
+ vX_[6919] =
+ vX_[8300] + vX_[6919] * vX_[236] + vX_[9089] * vX_[251] * 2. + vX_[3412] * vX_[2017] + vX_[3451] * vX_[1852];
+ vX_[8300] = vX_[6893] - vX_[6919];
+ vX_[6939] = 0 - (vX_[6939] + vX_[6466] * vX_[236] + vX_[2803] * vX_[251] + vX_[3412] * vX_[1852]);
+ vX_[2814] =
+ 0 - (vX_[2814] + vX_[2802] * vX_[236] + vX_[285] * vX_[251] + vX_[3412] * vX_[2019] + vX_[3449] * vX_[1852]);
+ vX_[6919] = 0 - vX_[6919];
+ vX_[3233] =
+ (vX_[6939] * vX_[206] + vX_[3233] * vX_[196] + vX_[2814] * vX_[258] + vX_[6919] * vX_[267]) * 1 / vX_[232];
+ vX_[6939] = 0 - vX_[6916] + vX_[3445] * vX_[1114] + vX_[6913] * vX_[245] + vX_[6939] * vX_[233] + vX_[3233];
+ vX_[9089] = vX_[9089] + vX_[3451] * vX_[2017];
+ vX_[9031] = vX_[9031] + vX_[3449] * vX_[2019];
+ vX_[6913] = 0 - vX_[9031];
+ vX_[285] = vX_[285] + vX_[3449] * vX_[2017] + vX_[3451] * vX_[2019];
+ vX_[2802] = 0 - vX_[285];
+ vX_[3412] = (vX_[6913] * vX_[258] + vX_[2802] * vX_[267]) * 1 / vX_[232];
+ vX_[6466] = 0 - vX_[9089];
+ vX_[2803] = vX_[6466] * vX_[267] * 1 / vX_[232];
+ vX_[3233] = 0 - vX_[3444] * vX_[1772] - vX_[3445] * vX_[3822] - vX_[3447] * vX_[1086] - vX_[3448] * vX_[4089] +
+ vX_[3448] * vX_[1114] - vX_[3450] * vX_[1092] - vX_[3452] * vX_[1652] - vX_[3086] * vX_[245] -
+ vX_[3233] * vX_[233] - vX_[2419] * vX_[261] - vX_[3412] * vX_[525] - vX_[2803] * vX_[534];
+ vX_[3086] = 0 - vX_[9089] + vX_[3233];
+ vX_[2803] = vX_[3452] * vX_[1114] + vX_[3593] * vX_[245] + vX_[6919] * vX_[233] + vX_[6918] * vX_[261] +
+ vX_[2802] * vX_[525] + vX_[6466] * vX_[534] + vX_[2803];
+ vX_[3412] = vX_[3450] * vX_[1114] + vX_[6933] * vX_[245] + vX_[2814] * vX_[233] + vX_[1945] * vX_[261] +
+ vX_[6913] * vX_[525] + vX_[3412];
+ vX_[6913] = vX_[3086] * vX_[186] + vX_[2803] * vX_[195];
+ vX_[2814] = vX_[3086] * vX_[166] + vX_[2803] * vX_[186];
+ vX_[6933] = vX_[6913] * vX_[166] + vX_[2814] * vX_[186];
+ vX_[1945] = vX_[9089] + vX_[6913] * vX_[186];
+ vX_[3450] = vX_[9089] + vX_[2814] * vX_[166];
+ vX_[3233] = vX_[9031] + vX_[9089] + vX_[3233] - vX_[1945] - vX_[3450];
+ vX_[9031] = 0 - vX_[3233];
+ vX_[9089] = (vX_[6916] * vX_[186] + vX_[6893] * vX_[195]) * -1;
+ vX_[6466] = vX_[9089] + vX_[9031] * vX_[197];
+ vX_[2802] = 0 - vX_[6466];
+ vX_[9089] = 0 - (vX_[8300] * vX_[166] + vX_[6939] * vX_[186]) + vX_[9089];
+ vX_[6919] = (vX_[6916] * vX_[166] + vX_[6893] * vX_[186]) * -1;
+ vX_[3593] = vX_[6919] + vX_[3233] * vX_[202];
+ vX_[6918] = 0 - vX_[3593];
+ vX_[3452] = 0 - (vX_[285] * vX_[166] + vX_[3412] * vX_[186]) + vX_[285] * vX_[195] * -1 * 2.;
+ vX_[2419] = 0 - vX_[3452];
+ vX_[3448] = vX_[285] * vX_[186] + vX_[3412] * vX_[195] + vX_[285] * vX_[186] * -1 * 2.;
+ vX_[3447] = 0 - vX_[3448];
+ vX_[3487] = vX_[3487] * vX_[2025];
+ vX_[3486] = vX_[3486] * vX_[2025] + vX_[3480] * vX_[1219];
+ vX_[3480] = 0 - vX_[3486];
+ vX_[3481] = vX_[3481] * vX_[1219];
+ vX_[3506] = vX_[3479] * vX_[2013] + vX_[3506] * vX_[2018];
+ vX_[3479] = vX_[4435] * x_in[31];
+ vX_[3445] = vX_[4435] * x_in[32];
+ vX_[3444] = 0 - vX_[3445] - vX_[3479];
+ vX_[6940] = 0 - vX_[3496];
+ vX_[6911] = vX_[6940] * x_in[19] + vX_[3653] * x_in[20];
+ vX_[3507] = vX_[3507] * vX_[1252];
+ vX_[3094] = vX_[6911] + vX_[3507];
+ vX_[6925] = 0 - vX_[3450];
+ vX_[6919] = vX_[8300] * vX_[186] + vX_[6939] * vX_[195] + vX_[6919];
+ vX_[3050] = 0 - vX_[6933];
+ vX_[3230] = 0 - vX_[3450];
+ vX_[3070] = 0 - vX_[3487] - vX_[3481];
+ vX_[7755] = 0 - vX_[3506];
+ vX_[3101] = 0 - vX_[6911] - vX_[3507];
+ jac[490] =
+ 0 -
+ (vX_[3440] * vX_[803] + vX_[3446] * vX_[1982] + vX_[3436] * vX_[2014] + vX_[3451] * vX_[1297] +
+ vX_[3220] * vX_[242] + vX_[6927] * vX_[240] + vX_[6924] * vX_[241] + vX_[6498] * vX_[211] +
+ vX_[6916] * vX_[199] + vX_[6261] * vX_[188] + vX_[6906] * vX_[265] + vX_[6893] * vX_[254] +
+ vX_[2129] * vX_[194] + vX_[1712] * vX_[266] + vX_[4002] * vX_[193] + vX_[1573] * vX_[187] +
+ vX_[5809] * vX_[192] + vX_[2130] * vX_[185] + vX_[8300] * vX_[204] + vX_[6939] * vX_[200] +
+ vX_[3086] * vX_[230] + vX_[2803] * vX_[228] + vX_[285] * vX_[578] + vX_[285] * vX_[255] +
+ vX_[3412] * vX_[257] + vX_[6913] * vX_[182] + vX_[2814] * vX_[227] +
+ (vX_[6933] * vX_[203] + vX_[9031] * vX_[213] + vX_[1945] * vX_[198] + vX_[2802] * vX_[209] +
+ (vX_[9089] + vX_[1945] * vX_[197]) * 4.027 + vX_[6918] * vX_[211] + vX_[2419] * vX_[193] +
+ vX_[3447] * vX_[192] + vX_[6933] * vX_[180] + vX_[1945] * vX_[229]) *
+ -0.08 +
+ vX_[8724] * vX_[3339] + vX_[6931] * vX_[806] + vX_[6900] * vX_[4087] + vX_[6475] * vX_[3807] +
+ (vX_[3449] * vX_[803] + vX_[8724] * vX_[824]) * -0.08 + vX_[6268] * vX_[235] + vX_[6468] * vX_[235] -
+ vX_[3487] * vX_[167] + vX_[3488] * 0.35 + vX_[6459] * vX_[1326] + vX_[4420] * vX_[1324] +
+ vX_[6903] * vX_[1098] + vX_[1345] * vX_[1095] + vX_[8478] * vX_[1270] + vX_[1376] * vX_[235] +
+ vX_[3480] * vX_[169] + vX_[6684] * vX_[1335] + vX_[6864] * vX_[1331] + vX_[7312] * vX_[1107] +
+ vX_[7793] * vX_[1096] + vX_[7305] * vX_[1272] + vX_[1676] * vX_[163] + vX_[6526] * vX_[235] -
+ vX_[3481] * vX_[167] + vX_[3483] * vX_[1137] + vX_[7803] * vX_[1135] + vX_[3482] * vX_[1285] +
+ vX_[7064] * vX_[1283] + vX_[3506] * vX_[167] * -0.33 + vX_[6271] * vX_[1187] + vX_[7024] * vX_[1185] +
+ vX_[6500] * vX_[1205] + vX_[6896] * vX_[1221] + vX_[6932] * vX_[1166] + vX_[6505] * vX_[1218] +
+ vX_[8308] * vX_[1160] + vX_[844] * vX_[1172] + vX_[8317] * vX_[1162] + vX_[6891] * vX_[1170] +
+ vX_[6943] * vX_[1168] + (0 - vX_[3479]) * 0.35 + vX_[3444] * vX_[169] * 0.33 + vX_[7363] * vX_[1256] +
+ vX_[3213] * vX_[1254] + vX_[2761] * vX_[1249] + vX_[6524] * vX_[1203] + vX_[3094] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[3440] * vX_[1982] + vX_[3436] * vX_[1297] + vX_[3220] * vX_[240] + vX_[6924] * vX_[211] +
+ vX_[6498] * vX_[239] + vX_[6916] * vX_[254] + vX_[6906] * vX_[266] + vX_[2129] * vX_[188] +
+ vX_[4002] * vX_[192] + vX_[1573] * vX_[185] + vX_[8300] * vX_[200] + vX_[3086] * vX_[228] +
+ vX_[285] * vX_[257] + vX_[6913] * vX_[227] + vX_[2814] * vX_[224] + vX_[6931] * vX_[3339] +
+ vX_[6475] * vX_[4087] - (vX_[3446] * vX_[803] + vX_[8724] * vX_[806]) +
+ (vX_[3449] * vX_[1982] +
+ (vX_[3233] * vX_[212] + vX_[6925] * vX_[203] + vX_[6466] * vX_[211] + vX_[3593] * vX_[210] +
+ (0 - (vX_[6919] + vX_[6933] * vX_[197] + vX_[6925] * vX_[202])) * 4.027 + vX_[3452] * vX_[187] +
+ vX_[3448] * vX_[185] + vX_[3050] * vX_[189] + vX_[3230] * vX_[223]) *
+ -1 +
+ vX_[6931] * vX_[824]) *
+ -0.08 -
+ (vX_[3451] * vX_[2014] + vX_[6927] * vX_[242] + vX_[6261] * vX_[194] + vX_[6893] * vX_[199] +
+ vX_[1712] * vX_[265] + vX_[5809] * vX_[193] + vX_[2130] * vX_[187] + vX_[6939] * vX_[204] +
+ vX_[2803] * vX_[230] + vX_[285] * vX_[256] + vX_[3412] * vX_[255] + vX_[6900] * vX_[3807]) +
+ vX_[6929] * vX_[163] + vX_[7747] * vX_[163] + vX_[3503] * vX_[1320] + vX_[3471] * vX_[1091] +
+ vX_[6459] * vX_[1327] + vX_[6790] * vX_[1323] + vX_[6903] * vX_[1099] + vX_[2493] * vX_[1096] +
+ vX_[3738] * vX_[1272] + vX_[7781] * vX_[163] + vX_[3486] * vX_[167] + vX_[6684] * vX_[1334] +
+ vX_[6864] * vX_[1332] + vX_[6895] * vX_[1106] + vX_[7793] * vX_[1104] + vX_[3455] * vX_[1276] +
+ vX_[3468] * vX_[163] + vX_[3469] * vX_[235] + vX_[3070] * vX_[169] + vX_[6265] * vX_[1133] +
+ vX_[6280] * vX_[1281] + (0 - vX_[3506]) * 0.35 + vX_[7755] * vX_[169] * 0.33 + vX_[3217] * vX_[1183] +
+ vX_[6499] * vX_[1201] + vX_[3474] * vX_[1223] + vX_[2406] * vX_[1213] + vX_[6892] * vX_[1168] +
+ vX_[6506] * vX_[1216] + vX_[8379] * vX_[1174] + vX_[7944] * vX_[1164] + vX_[7897] * vX_[1160] +
+ vX_[3685] * vX_[1166] + vX_[3445] * vX_[167] * 0.33 + vX_[3479] * vX_[167] * 0.33 + vX_[6277] * vX_[1178] +
+ vX_[6512] * vX_[1247] + (0 - vX_[6911] - vX_[3507]) * 0.35 + vX_[3101] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[5813] = vX_[3749] + vX_[5813] * vX_[235] + vX_[3652] * vX_[249];
+ vX_[7470] = vX_[3749] + vX_[6036] * vX_[249] + vX_[7470] * vX_[247];
+ vX_[5808] = vX_[6607] + vX_[3357] + vX_[3749] - vX_[5813] - vX_[7470] + vX_[3476] * vX_[236] + vX_[5808] * vX_[165];
+ vX_[7470] = vX_[7470] + vX_[6523] * vX_[165] + vX_[6509] * vX_[251] + vX_[3842] * vX_[1860];
+ vX_[6523] = vX_[5808] - vX_[7470];
+ vX_[5838] = vX_[6030] * vX_[235] + vX_[5838] * vX_[249] + vX_[3456] * vX_[251] + vX_[4430] * vX_[236] +
+ vX_[6046] * vX_[165] + vX_[3836] * vX_[1860];
+ vX_[6046] = vX_[6523] * vX_[186] + vX_[5838] * vX_[195];
+ vX_[4430] = vX_[6523] * vX_[166] + vX_[5838] * vX_[186];
+ vX_[5414] = vX_[3492] + vX_[5414] * vX_[165] + vX_[282] * vX_[236] * 2. + vX_[3836] * vX_[2019];
+ vX_[3492] = 0 - vX_[5838];
+ vX_[6059] = 0 - (vX_[6036] * vX_[235] + vX_[3652] * vX_[247] + vX_[6037] * vX_[249] + vX_[3500] * vX_[165] +
+ vX_[6059] * vX_[236] + vX_[6484] * vX_[251] + vX_[3808] * vX_[1860] + vX_[3842] * vX_[1852]);
+ vX_[6037] = 0 - vX_[7470];
+ vX_[5612] =
+ vX_[4546] + vX_[5612] * vX_[165] + vX_[6477] * vX_[251] * 2. + vX_[3842] * vX_[2019] + vX_[3845] * vX_[1860];
+ vX_[6477] = 0 - vX_[5612];
+ vX_[6482] = vX_[4452] + vX_[6492] * vX_[165] + vX_[6482] * vX_[251] + vX_[3842] * vX_[2017] + vX_[3847] * vX_[1860];
+ vX_[4452] = 0 - vX_[6482];
+ vX_[6492] = (vX_[6037] * vX_[196] + vX_[6477] * vX_[258] + vX_[4452] * vX_[267]) * 1 / vX_[232];
+ vX_[6037] = vX_[3843] * vX_[1114] + vX_[3492] * vX_[245] + vX_[6059] * vX_[233] + vX_[6037] * vX_[261] + vX_[6492];
+ vX_[5841] = vX_[6488] + vX_[2024] * vX_[236] + vX_[5841] * vX_[165] * 2. + vX_[3836] * vX_[2017];
+ vX_[5808] = 0 - vX_[5808];
+ vX_[6161] = 0 - (0 - (vX_[6030] * vX_[249] + vX_[6161] * vX_[247]) + vX_[6649] * vX_[251] + vX_[5855] * vX_[165] +
+ vX_[5839] * vX_[236] + vX_[3836] * vX_[1852]);
+ vX_[5839] = 0 - vX_[5414];
+ vX_[6030] = 0 - vX_[5841];
+ vX_[3492] = (vX_[5808] * vX_[244] + vX_[6161] * vX_[206] + vX_[3492] * vX_[196] + vX_[5839] * vX_[258] +
+ vX_[6030] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[5808] = vX_[3840] * vX_[1114] + vX_[5808] * vX_[245] + vX_[3492];
+ vX_[5855] = vX_[6037] * vX_[195] + vX_[5808] * vX_[186];
+ vX_[6649] = vX_[6037] * vX_[186] + vX_[5808] * vX_[166];
+ vX_[6488] = vX_[5841] * vX_[186] + vX_[6482] * vX_[195];
+ vX_[4546] = vX_[5841] * vX_[166] + vX_[6482] * vX_[186];
+ vX_[5850] =
+ vX_[6508] + vX_[5850] * vX_[236] + vX_[7922] * vX_[251] * 2. + vX_[3808] * vX_[2017] + vX_[3847] * vX_[1852];
+ vX_[6508] = vX_[5612] - vX_[5850];
+ vX_[5813] = 0 - (vX_[5813] + vX_[6094] * vX_[236] + vX_[6520] * vX_[251] + vX_[3808] * vX_[1852]);
+ vX_[3204] =
+ 0 - (vX_[3204] + vX_[6487] * vX_[236] + vX_[2024] * vX_[251] + vX_[3808] * vX_[2019] + vX_[3845] * vX_[1852]);
+ vX_[5850] = 0 - vX_[5850];
+ vX_[6059] =
+ (vX_[5813] * vX_[206] + vX_[6059] * vX_[196] + vX_[3204] * vX_[258] + vX_[5850] * vX_[267]) * 1 / vX_[232];
+ vX_[5813] = 0 - vX_[5414] + vX_[3841] * vX_[1114] + vX_[6161] * vX_[245] + vX_[5813] * vX_[233] + vX_[6059];
+ vX_[7922] = vX_[7922] + vX_[3847] * vX_[2017];
+ vX_[282] = vX_[282] + vX_[3845] * vX_[2019];
+ vX_[6161] = 0 - vX_[282];
+ vX_[2024] = vX_[2024] + vX_[3845] * vX_[2017] + vX_[3847] * vX_[2019];
+ vX_[6487] = 0 - vX_[2024];
+ vX_[3808] = (vX_[6161] * vX_[258] + vX_[6487] * vX_[267]) * 1 / vX_[232];
+ vX_[6094] = 0 - vX_[7922];
+ vX_[6520] = vX_[6094] * vX_[267] * 1 / vX_[232];
+ vX_[6059] = 0 - vX_[3840] * vX_[1772] - vX_[3841] * vX_[3822] - vX_[3843] * vX_[1086] - vX_[3844] * vX_[4089] +
+ vX_[3844] * vX_[1114] - vX_[3846] * vX_[1092] - vX_[3848] * vX_[1652] - vX_[3492] * vX_[245] -
+ vX_[6059] * vX_[233] - vX_[6492] * vX_[261] - vX_[3808] * vX_[525] - vX_[6520] * vX_[534];
+ vX_[3492] = 0 - vX_[7922] + vX_[6059];
+ vX_[6520] = vX_[3848] * vX_[1114] + vX_[6030] * vX_[245] + vX_[5850] * vX_[233] + vX_[4452] * vX_[261] +
+ vX_[6487] * vX_[525] + vX_[6094] * vX_[534] + vX_[6520];
+ vX_[3808] = vX_[3846] * vX_[1114] + vX_[5839] * vX_[245] + vX_[3204] * vX_[233] + vX_[6477] * vX_[261] +
+ vX_[6161] * vX_[525] + vX_[3808];
+ vX_[6161] = vX_[3492] * vX_[186] + vX_[6520] * vX_[195];
+ vX_[3204] = vX_[3492] * vX_[166] + vX_[6520] * vX_[186];
+ vX_[5839] = vX_[6161] * vX_[166] + vX_[3204] * vX_[186];
+ vX_[6477] = vX_[7922] + vX_[6161] * vX_[186];
+ vX_[3846] = vX_[7922] + vX_[3204] * vX_[166];
+ vX_[6059] = vX_[282] + vX_[7922] + vX_[6059] - vX_[6477] - vX_[3846];
+ vX_[282] = 0 - vX_[6059];
+ vX_[7922] = (vX_[5414] * vX_[186] + vX_[5612] * vX_[195]) * -1;
+ vX_[6094] = vX_[7922] + vX_[282] * vX_[197];
+ vX_[6487] = 0 - vX_[6094];
+ vX_[7922] = 0 - (vX_[6508] * vX_[166] + vX_[5813] * vX_[186]) + vX_[7922];
+ vX_[5850] = (vX_[5414] * vX_[166] + vX_[5612] * vX_[186]) * -1;
+ vX_[6030] = vX_[5850] + vX_[6059] * vX_[202];
+ vX_[4452] = 0 - vX_[6030];
+ vX_[3848] = 0 - (vX_[2024] * vX_[166] + vX_[3808] * vX_[186]) + vX_[2024] * vX_[195] * -1 * 2.;
+ vX_[6492] = 0 - vX_[3848];
+ vX_[3844] = vX_[2024] * vX_[186] + vX_[3808] * vX_[195] + vX_[2024] * vX_[186] * -1 * 2.;
+ vX_[3843] = 0 - vX_[3844];
+ vX_[3883] = vX_[3883] * vX_[2025];
+ vX_[3882] = vX_[3882] * vX_[2025] + vX_[3876] * vX_[1219];
+ vX_[3876] = 0 - vX_[3882];
+ vX_[3877] = vX_[3877] * vX_[1219];
+ vX_[3902] = vX_[3875] * vX_[2013] + vX_[3902] * vX_[2018];
+ vX_[3875] = vX_[3610] * x_in[31];
+ vX_[3841] = vX_[3610] * x_in[32];
+ vX_[3840] = 0 - vX_[3841] - vX_[3875];
+ vX_[3652] = 0 - vX_[3892];
+ vX_[6036] = vX_[3652] * x_in[19] + vX_[3608] * x_in[20];
+ vX_[3903] = vX_[3903] * vX_[1252];
+ vX_[3500] = vX_[6036] + vX_[3903];
+ vX_[6484] = 0 - vX_[3846];
+ vX_[5850] = vX_[6508] * vX_[186] + vX_[5813] * vX_[195] + vX_[5850];
+ vX_[3456] = 0 - vX_[5839];
+ vX_[6509] = 0 - vX_[3846];
+ vX_[3476] = 0 - vX_[3883] - vX_[3877];
+ vX_[6925] = 0 - vX_[3902];
+ vX_[3507] = 0 - vX_[6036] - vX_[3903];
+ jac[491] =
+ 0 -
+ (vX_[3836] * vX_[803] + vX_[3842] * vX_[1982] + vX_[3832] * vX_[2014] + vX_[3847] * vX_[1297] +
+ vX_[6523] * vX_[242] + vX_[5838] * vX_[240] + vX_[6046] * vX_[241] + vX_[4430] * vX_[211] +
+ vX_[5414] * vX_[199] + vX_[6037] * vX_[188] + vX_[5841] * vX_[265] + vX_[5612] * vX_[254] +
+ vX_[5808] * vX_[194] + vX_[6482] * vX_[266] + vX_[5855] * vX_[193] + vX_[6649] * vX_[187] +
+ vX_[6488] * vX_[192] + vX_[4546] * vX_[185] + vX_[6508] * vX_[204] + vX_[5813] * vX_[200] +
+ vX_[3492] * vX_[230] + vX_[6520] * vX_[228] + vX_[2024] * vX_[578] + vX_[2024] * vX_[255] +
+ vX_[3808] * vX_[257] + vX_[6161] * vX_[182] + vX_[3204] * vX_[227] +
+ (vX_[5839] * vX_[203] + vX_[282] * vX_[213] + vX_[6477] * vX_[198] + vX_[6487] * vX_[209] +
+ (vX_[7922] + vX_[6477] * vX_[197]) * 4.027 + vX_[4452] * vX_[211] + vX_[6492] * vX_[193] +
+ vX_[3843] * vX_[192] + vX_[5839] * vX_[180] + vX_[6477] * vX_[229]) *
+ -0.08 +
+ vX_[6478] * vX_[3339] + vX_[6262] * vX_[806] + vX_[3640] * vX_[4087] + vX_[7502] * vX_[3807] +
+ (vX_[3845] * vX_[803] + vX_[6478] * vX_[824]) * -0.08 + vX_[6057] * vX_[235] + vX_[4031] * vX_[235] -
+ vX_[3883] * vX_[167] + vX_[3884] * 0.35 + vX_[4017] * vX_[1326] + vX_[6062] * vX_[1324] +
+ vX_[6191] * vX_[1098] + vX_[284] * vX_[1095] + vX_[6480] * vX_[1270] + vX_[3724] * vX_[235] +
+ vX_[3876] * vX_[169] + vX_[3613] * vX_[1335] + vX_[4833] * vX_[1331] + vX_[6915] * vX_[1107] +
+ vX_[3318] * vX_[1096] + vX_[3019] * vX_[1272] + vX_[6928] * vX_[163] + vX_[6045] * vX_[235] -
+ vX_[3877] * vX_[167] + vX_[3879] * vX_[1137] + vX_[6034] * vX_[1135] + vX_[3878] * vX_[1285] +
+ vX_[6067] * vX_[1283] + vX_[3902] * vX_[167] * -0.33 + vX_[6384] * vX_[1187] + vX_[6081] * vX_[1185] +
+ vX_[6065] * vX_[1205] + vX_[6653] * vX_[1221] + vX_[6479] * vX_[1166] + vX_[6063] * vX_[1218] +
+ vX_[5617] * vX_[1160] + vX_[5421] * vX_[1172] + vX_[6053] * vX_[1162] + vX_[5816] * vX_[1170] +
+ vX_[6278] * vX_[1168] + (0 - vX_[3875]) * 0.35 + vX_[3840] * vX_[169] * 0.33 + vX_[6084] * vX_[1256] +
+ vX_[6095] * vX_[1254] + vX_[6047] * vX_[1249] + vX_[6052] * vX_[1203] + vX_[3500] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[3836] * vX_[1982] + vX_[3832] * vX_[1297] + vX_[6523] * vX_[240] + vX_[6046] * vX_[211] +
+ vX_[4430] * vX_[239] + vX_[5414] * vX_[254] + vX_[5841] * vX_[266] + vX_[5808] * vX_[188] +
+ vX_[5855] * vX_[192] + vX_[6649] * vX_[185] + vX_[6508] * vX_[200] + vX_[3492] * vX_[228] +
+ vX_[2024] * vX_[257] + vX_[6161] * vX_[227] + vX_[3204] * vX_[224] + vX_[6262] * vX_[3339] +
+ vX_[7502] * vX_[4087] - (vX_[3842] * vX_[803] + vX_[6478] * vX_[806]) +
+ (vX_[3845] * vX_[1982] +
+ (vX_[6059] * vX_[212] + vX_[6484] * vX_[203] + vX_[6094] * vX_[211] + vX_[6030] * vX_[210] +
+ (0 - (vX_[5850] + vX_[5839] * vX_[197] + vX_[6484] * vX_[202])) * 4.027 + vX_[3848] * vX_[187] +
+ vX_[3844] * vX_[185] + vX_[3456] * vX_[189] + vX_[6509] * vX_[223]) *
+ -1 +
+ vX_[6262] * vX_[824]) *
+ -0.08 -
+ (vX_[3847] * vX_[2014] + vX_[5838] * vX_[242] + vX_[6037] * vX_[194] + vX_[5612] * vX_[199] +
+ vX_[6482] * vX_[265] + vX_[6488] * vX_[193] + vX_[4546] * vX_[187] + vX_[5813] * vX_[204] +
+ vX_[6520] * vX_[230] + vX_[2024] * vX_[256] + vX_[3808] * vX_[255] + vX_[3640] * vX_[3807]) +
+ vX_[6481] * vX_[163] + vX_[2788] * vX_[163] + vX_[3899] * vX_[1320] + vX_[3867] * vX_[1091] +
+ vX_[4017] * vX_[1327] + vX_[3617] * vX_[1323] + vX_[6191] * vX_[1099] + vX_[1596] * vX_[1096] +
+ vX_[6910] * vX_[1272] + vX_[6944] * vX_[163] + vX_[3882] * vX_[167] + vX_[3613] * vX_[1334] +
+ vX_[4833] * vX_[1332] + vX_[6097] * vX_[1106] + vX_[3318] * vX_[1104] + vX_[3851] * vX_[1276] +
+ vX_[3864] * vX_[163] + vX_[3865] * vX_[235] + vX_[3476] * vX_[169] + vX_[8062] * vX_[1133] +
+ vX_[4877] * vX_[1281] + (0 - vX_[3902]) * 0.35 + vX_[6925] * vX_[169] * 0.33 + vX_[3619] * vX_[1183] +
+ vX_[6079] * vX_[1201] + vX_[3870] * vX_[1223] + vX_[4415] * vX_[1213] + vX_[6096] * vX_[1168] +
+ vX_[6092] * vX_[1216] + vX_[3651] * vX_[1174] + vX_[4873] * vX_[1164] + vX_[6055] * vX_[1160] +
+ vX_[4081] * vX_[1166] + vX_[3841] * vX_[167] * 0.33 + vX_[3875] * vX_[167] * 0.33 + vX_[6083] * vX_[1178] +
+ vX_[6051] * vX_[1247] + (0 - vX_[6036] - vX_[3903]) * 0.35 + vX_[3507] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[4405] = vX_[4167] + vX_[4405] * vX_[235] + vX_[2867] * vX_[249];
+ vX_[5633] = vX_[4167] + vX_[2874] * vX_[249] + vX_[5633] * vX_[247];
+ vX_[4975] = vX_[5659] + vX_[6683] + vX_[4167] - vX_[4405] - vX_[5633] + vX_[3872] * vX_[236] + vX_[4975] * vX_[165];
+ vX_[5633] = vX_[5633] + vX_[6050] * vX_[165] + vX_[4872] * vX_[251] + vX_[4257] * vX_[1860];
+ vX_[6050] = vX_[4975] - vX_[5633];
+ vX_[5791] = vX_[5630] * vX_[235] + vX_[5791] * vX_[249] + vX_[3852] * vX_[251] + vX_[5206] * vX_[236] +
+ vX_[4550] * vX_[165] + vX_[4251] * vX_[1860];
+ vX_[4550] = vX_[6050] * vX_[186] + vX_[5791] * vX_[195];
+ vX_[5206] = vX_[6050] * vX_[166] + vX_[5791] * vX_[186];
+ vX_[5655] = vX_[3888] + vX_[5655] * vX_[165] + vX_[434] * vX_[236] * 2. + vX_[4251] * vX_[2019];
+ vX_[3888] = 0 - vX_[5791];
+ vX_[5034] = 0 - (vX_[2874] * vX_[235] + vX_[2867] * vX_[247] + vX_[6443] * vX_[249] + vX_[3896] * vX_[165] +
+ vX_[5034] * vX_[236] + vX_[4412] * vX_[251] + vX_[4223] * vX_[1860] + vX_[4257] * vX_[1852]);
+ vX_[6443] = 0 - vX_[5633];
+ vX_[4961] =
+ vX_[1762] + vX_[4961] * vX_[165] + vX_[5418] * vX_[251] * 2. + vX_[4257] * vX_[2019] + vX_[4260] * vX_[1860];
+ vX_[5418] = 0 - vX_[4961];
+ vX_[5608] = vX_[5420] + vX_[4490] * vX_[165] + vX_[5608] * vX_[251] + vX_[4257] * vX_[2017] + vX_[4262] * vX_[1860];
+ vX_[5420] = 0 - vX_[5608];
+ vX_[4490] = (vX_[6443] * vX_[196] + vX_[5418] * vX_[258] + vX_[5420] * vX_[267]) * 1 / vX_[232];
+ vX_[6443] = vX_[4258] * vX_[1114] + vX_[3888] * vX_[245] + vX_[5034] * vX_[233] + vX_[6443] * vX_[261] + vX_[4490];
+ vX_[4944] = vX_[6049] + vX_[1617] * vX_[236] + vX_[4944] * vX_[165] * 2. + vX_[4251] * vX_[2017];
+ vX_[4975] = 0 - vX_[4975];
+ vX_[5628] = 0 - (0 - (vX_[5630] * vX_[249] + vX_[5628] * vX_[247]) + vX_[5832] * vX_[251] + vX_[4033] * vX_[165] +
+ vX_[5652] * vX_[236] + vX_[4251] * vX_[1852]);
+ vX_[5652] = 0 - vX_[5655];
+ vX_[5630] = 0 - vX_[4944];
+ vX_[3888] = (vX_[4975] * vX_[244] + vX_[5628] * vX_[206] + vX_[3888] * vX_[196] + vX_[5652] * vX_[258] +
+ vX_[5630] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[4975] = vX_[4255] * vX_[1114] + vX_[4975] * vX_[245] + vX_[3888];
+ vX_[4033] = vX_[6443] * vX_[195] + vX_[4975] * vX_[186];
+ vX_[5832] = vX_[6443] * vX_[186] + vX_[4975] * vX_[166];
+ vX_[6049] = vX_[4944] * vX_[186] + vX_[5608] * vX_[195];
+ vX_[1762] = vX_[4944] * vX_[166] + vX_[5608] * vX_[186];
+ vX_[5607] =
+ vX_[6663] + vX_[5607] * vX_[236] + vX_[2776] * vX_[251] * 2. + vX_[4223] * vX_[2017] + vX_[4262] * vX_[1852];
+ vX_[6663] = vX_[4961] - vX_[5607];
+ vX_[4405] = 0 - (vX_[4405] + vX_[5191] * vX_[236] + vX_[6461] * vX_[251] + vX_[4223] * vX_[1852]);
+ vX_[5413] =
+ 0 - (vX_[5413] + vX_[5426] * vX_[236] + vX_[1617] * vX_[251] + vX_[4223] * vX_[2019] + vX_[4260] * vX_[1852]);
+ vX_[5607] = 0 - vX_[5607];
+ vX_[5034] =
+ (vX_[4405] * vX_[206] + vX_[5034] * vX_[196] + vX_[5413] * vX_[258] + vX_[5607] * vX_[267]) * 1 / vX_[232];
+ vX_[4405] = 0 - vX_[5655] + vX_[4256] * vX_[1114] + vX_[5628] * vX_[245] + vX_[4405] * vX_[233] + vX_[5034];
+ vX_[2776] = vX_[2776] + vX_[4262] * vX_[2017];
+ vX_[434] = vX_[434] + vX_[4260] * vX_[2019];
+ vX_[5628] = 0 - vX_[434];
+ vX_[1617] = vX_[1617] + vX_[4260] * vX_[2017] + vX_[4262] * vX_[2019];
+ vX_[5426] = 0 - vX_[1617];
+ vX_[4223] = (vX_[5628] * vX_[258] + vX_[5426] * vX_[267]) * 1 / vX_[232];
+ vX_[5191] = 0 - vX_[2776];
+ vX_[6461] = vX_[5191] * vX_[267] * 1 / vX_[232];
+ vX_[5034] = 0 - vX_[4255] * vX_[1772] - vX_[4256] * vX_[3822] - vX_[4258] * vX_[1086] - vX_[4259] * vX_[4089] +
+ vX_[4259] * vX_[1114] - vX_[4261] * vX_[1092] - vX_[4263] * vX_[1652] - vX_[3888] * vX_[245] -
+ vX_[5034] * vX_[233] - vX_[4490] * vX_[261] - vX_[4223] * vX_[525] - vX_[6461] * vX_[534];
+ vX_[3888] = 0 - vX_[2776] + vX_[5034];
+ vX_[6461] = vX_[4263] * vX_[1114] + vX_[5630] * vX_[245] + vX_[5607] * vX_[233] + vX_[5420] * vX_[261] +
+ vX_[5426] * vX_[525] + vX_[5191] * vX_[534] + vX_[6461];
+ vX_[4223] = vX_[4261] * vX_[1114] + vX_[5652] * vX_[245] + vX_[5413] * vX_[233] + vX_[5418] * vX_[261] +
+ vX_[5628] * vX_[525] + vX_[4223];
+ vX_[5628] = vX_[3888] * vX_[186] + vX_[6461] * vX_[195];
+ vX_[5413] = vX_[3888] * vX_[166] + vX_[6461] * vX_[186];
+ vX_[5652] = vX_[5628] * vX_[166] + vX_[5413] * vX_[186];
+ vX_[5418] = vX_[2776] + vX_[5628] * vX_[186];
+ vX_[4261] = vX_[2776] + vX_[5413] * vX_[166];
+ vX_[5034] = vX_[434] + vX_[2776] + vX_[5034] - vX_[5418] - vX_[4261];
+ vX_[434] = 0 - vX_[5034];
+ vX_[2776] = (vX_[5655] * vX_[186] + vX_[4961] * vX_[195]) * -1;
+ vX_[5191] = vX_[2776] + vX_[434] * vX_[197];
+ vX_[5426] = 0 - vX_[5191];
+ vX_[2776] = 0 - (vX_[6663] * vX_[166] + vX_[4405] * vX_[186]) + vX_[2776];
+ vX_[5607] = (vX_[5655] * vX_[166] + vX_[4961] * vX_[186]) * -1;
+ vX_[5630] = vX_[5607] + vX_[5034] * vX_[202];
+ vX_[5420] = 0 - vX_[5630];
+ vX_[4263] = 0 - (vX_[1617] * vX_[166] + vX_[4223] * vX_[186]) + vX_[1617] * vX_[195] * -1 * 2.;
+ vX_[4490] = 0 - vX_[4263];
+ vX_[4259] = vX_[1617] * vX_[186] + vX_[4223] * vX_[195] + vX_[1617] * vX_[186] * -1 * 2.;
+ vX_[4258] = 0 - vX_[4259];
+ vX_[4298] = vX_[4298] * vX_[2025];
+ vX_[4297] = vX_[4297] * vX_[2025] + vX_[4291] * vX_[1219];
+ vX_[4291] = 0 - vX_[4297];
+ vX_[4292] = vX_[4292] * vX_[1219];
+ vX_[4317] = vX_[4290] * vX_[2013] + vX_[4317] * vX_[2018];
+ vX_[4290] = vX_[5626] * x_in[31];
+ vX_[4256] = vX_[5626] * x_in[32];
+ vX_[4255] = 0 - vX_[4256] - vX_[4290];
+ vX_[2867] = 0 - vX_[4307];
+ vX_[2874] = vX_[2867] * x_in[19] + vX_[1611] * x_in[20];
+ vX_[4318] = vX_[4318] * vX_[1252];
+ vX_[3896] = vX_[2874] + vX_[4318];
+ vX_[4412] = 0 - vX_[4261];
+ vX_[5607] = vX_[6663] * vX_[186] + vX_[4405] * vX_[195] + vX_[5607];
+ vX_[3852] = 0 - vX_[5652];
+ vX_[4872] = 0 - vX_[4261];
+ vX_[3872] = 0 - vX_[4298] - vX_[4292];
+ vX_[6484] = 0 - vX_[4317];
+ vX_[3903] = 0 - vX_[2874] - vX_[4318];
+ jac[492] =
+ 0 -
+ (vX_[4251] * vX_[803] + vX_[4257] * vX_[1982] + vX_[4247] * vX_[2014] + vX_[4262] * vX_[1297] +
+ vX_[6050] * vX_[242] + vX_[5791] * vX_[240] + vX_[4550] * vX_[241] + vX_[5206] * vX_[211] +
+ vX_[5655] * vX_[199] + vX_[6443] * vX_[188] + vX_[4944] * vX_[265] + vX_[4961] * vX_[254] +
+ vX_[4975] * vX_[194] + vX_[5608] * vX_[266] + vX_[4033] * vX_[193] + vX_[5832] * vX_[187] +
+ vX_[6049] * vX_[192] + vX_[1762] * vX_[185] + vX_[6663] * vX_[204] + vX_[4405] * vX_[200] +
+ vX_[3888] * vX_[230] + vX_[6461] * vX_[228] + vX_[1617] * vX_[578] + vX_[1617] * vX_[255] +
+ vX_[4223] * vX_[257] + vX_[5628] * vX_[182] + vX_[5413] * vX_[227] +
+ (vX_[5652] * vX_[203] + vX_[434] * vX_[213] + vX_[5418] * vX_[198] + vX_[5426] * vX_[209] +
+ (vX_[2776] + vX_[5418] * vX_[197]) * 4.027 + vX_[5420] * vX_[211] + vX_[4490] * vX_[193] +
+ vX_[4258] * vX_[192] + vX_[5652] * vX_[180] + vX_[5418] * vX_[229]) *
+ -0.08 +
+ vX_[4446] * vX_[3339] + vX_[5771] * vX_[806] + vX_[5651] * vX_[4087] + vX_[2812] * vX_[3807] +
+ (vX_[4260] * vX_[803] + vX_[4446] * vX_[824]) * -0.08 + vX_[4764] * vX_[235] + vX_[1687] * vX_[235] -
+ vX_[4298] * vX_[167] + vX_[4299] * 0.35 + vX_[5154] * vX_[1326] + vX_[4777] * vX_[1324] +
+ vX_[5656] * vX_[1098] + vX_[9252] * vX_[1095] + vX_[2443] * vX_[1270] + vX_[4991] * vX_[235] +
+ vX_[4291] * vX_[169] + vX_[5302] * vX_[1335] + vX_[4964] * vX_[1331] + vX_[7487] * vX_[1107] +
+ vX_[6521] * vX_[1096] + vX_[5833] * vX_[1272] + vX_[3205] * vX_[163] + vX_[2073] * vX_[235] -
+ vX_[4292] * vX_[167] + vX_[4294] * vX_[1137] + vX_[4014] * vX_[1135] + vX_[4293] * vX_[1285] +
+ vX_[4460] * vX_[1283] + vX_[4317] * vX_[167] * -0.33 + vX_[5619] * vX_[1187] + vX_[5615] * vX_[1185] +
+ vX_[2068] * vX_[1205] + vX_[5639] * vX_[1221] + vX_[4458] * vX_[1166] + vX_[4890] * vX_[1218] +
+ vX_[5248] * vX_[1160] + vX_[4065] * vX_[1172] + vX_[4665] * vX_[1162] + vX_[39] * vX_[1170] +
+ vX_[6662] * vX_[1168] + (0 - vX_[4290]) * 0.35 + vX_[4255] * vX_[169] * 0.33 + vX_[5623] * vX_[1256] +
+ vX_[5621] * vX_[1254] + vX_[2061] * vX_[1249] + vX_[5222] * vX_[1203] + vX_[3896] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[4251] * vX_[1982] + vX_[4247] * vX_[1297] + vX_[6050] * vX_[240] + vX_[4550] * vX_[211] +
+ vX_[5206] * vX_[239] + vX_[5655] * vX_[254] + vX_[4944] * vX_[266] + vX_[4975] * vX_[188] +
+ vX_[4033] * vX_[192] + vX_[5832] * vX_[185] + vX_[6663] * vX_[200] + vX_[3888] * vX_[228] +
+ vX_[1617] * vX_[257] + vX_[5628] * vX_[227] + vX_[5413] * vX_[224] + vX_[5771] * vX_[3339] +
+ vX_[2812] * vX_[4087] - (vX_[4257] * vX_[803] + vX_[4446] * vX_[806]) +
+ (vX_[4260] * vX_[1982] +
+ (vX_[5034] * vX_[212] + vX_[4412] * vX_[203] + vX_[5191] * vX_[211] + vX_[5630] * vX_[210] +
+ (0 - (vX_[5607] + vX_[5652] * vX_[197] + vX_[4412] * vX_[202])) * 4.027 + vX_[4263] * vX_[187] +
+ vX_[4259] * vX_[185] + vX_[3852] * vX_[189] + vX_[4872] * vX_[223]) *
+ -1 +
+ vX_[5771] * vX_[824]) *
+ -0.08 -
+ (vX_[4262] * vX_[2014] + vX_[5791] * vX_[242] + vX_[6443] * vX_[194] + vX_[4961] * vX_[199] +
+ vX_[5608] * vX_[265] + vX_[6049] * vX_[193] + vX_[1762] * vX_[187] + vX_[4405] * vX_[204] +
+ vX_[6461] * vX_[230] + vX_[1617] * vX_[256] + vX_[4223] * vX_[255] + vX_[5651] * vX_[3807]) +
+ vX_[5667] * vX_[163] + vX_[6514] * vX_[163] + vX_[4314] * vX_[1320] + vX_[4282] * vX_[1091] +
+ vX_[5154] * vX_[1327] + vX_[4888] * vX_[1323] + vX_[5656] * vX_[1099] + vX_[281] * vX_[1096] +
+ vX_[4536] * vX_[1272] + vX_[6494] * vX_[163] + vX_[4297] * vX_[167] + vX_[5302] * vX_[1334] +
+ vX_[4964] * vX_[1332] + vX_[5629] * vX_[1106] + vX_[6521] * vX_[1104] + vX_[4266] * vX_[1276] +
+ vX_[4279] * vX_[163] + vX_[4280] * vX_[235] + vX_[3872] * vX_[169] + vX_[4401] * vX_[1133] +
+ vX_[5188] * vX_[1281] + (0 - vX_[4317]) * 0.35 + vX_[6484] * vX_[169] * 0.33 + vX_[5614] * vX_[1183] +
+ vX_[5189] * vX_[1201] + vX_[4285] * vX_[1223] + vX_[3992] * vX_[1213] + vX_[5638] * vX_[1168] +
+ vX_[2094] * vX_[1216] + vX_[4792] * vX_[1174] + vX_[5249] * vX_[1164] + vX_[1450] * vX_[1160] +
+ vX_[4496] * vX_[1166] + vX_[4256] * vX_[167] * 0.33 + vX_[4290] * vX_[167] * 0.33 + vX_[5620] * vX_[1178] +
+ vX_[5228] * vX_[1247] + (0 - vX_[2874] - vX_[4318]) * 0.35 + vX_[3903] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[4753] = vX_[4596] + vX_[4753] * vX_[235] + vX_[1656] * vX_[249];
+ vX_[3581] = vX_[4596] + vX_[5306] * vX_[249] + vX_[3581] * vX_[247];
+ vX_[5201] = vX_[4751] + vX_[4163] + vX_[4596] - vX_[4753] - vX_[3581] + vX_[4287] * vX_[236] + vX_[5201] * vX_[165];
+ vX_[3581] = vX_[3581] + vX_[5229] * vX_[165] + vX_[5372] * vX_[251] + vX_[4686] * vX_[1860];
+ vX_[5229] = vX_[5201] - vX_[3581];
+ vX_[5263] = vX_[8797] * vX_[235] + vX_[5263] * vX_[249] + vX_[4267] * vX_[251] + vX_[5209] * vX_[236] +
+ vX_[5220] * vX_[165] + vX_[4680] * vX_[1860];
+ vX_[5220] = vX_[5229] * vX_[186] + vX_[5263] * vX_[195];
+ vX_[5209] = vX_[5229] * vX_[166] + vX_[5263] * vX_[186];
+ vX_[4328] = vX_[4303] + vX_[4328] * vX_[165] + vX_[7764] * vX_[236] * 2. + vX_[4680] * vX_[2019];
+ vX_[4303] = 0 - vX_[5263];
+ vX_[4807] = 0 - (vX_[5306] * vX_[235] + vX_[1656] * vX_[247] + vX_[5321] * vX_[249] + vX_[4311] * vX_[165] +
+ vX_[4807] * vX_[236] + vX_[5210] * vX_[251] + vX_[4652] * vX_[1860] + vX_[4686] * vX_[1852]);
+ vX_[5321] = 0 - vX_[3581];
+ vX_[4335] =
+ vX_[5236] + vX_[4335] * vX_[165] + vX_[8789] * vX_[251] * 2. + vX_[4686] * vX_[2019] + vX_[4689] * vX_[1860];
+ vX_[8789] = 0 - vX_[4335];
+ vX_[5219] = vX_[5197] + vX_[5214] * vX_[165] + vX_[5219] * vX_[251] + vX_[4686] * vX_[2017] + vX_[4691] * vX_[1860];
+ vX_[5197] = 0 - vX_[5219];
+ vX_[5214] = (vX_[5321] * vX_[196] + vX_[8789] * vX_[258] + vX_[5197] * vX_[267]) * 1 / vX_[232];
+ vX_[5321] = vX_[4687] * vX_[1114] + vX_[4303] * vX_[245] + vX_[4807] * vX_[233] + vX_[5321] * vX_[261] + vX_[5214];
+ vX_[6122] = vX_[5513] + vX_[2790] * vX_[236] + vX_[6122] * vX_[165] * 2. + vX_[4680] * vX_[2017];
+ vX_[5201] = 0 - vX_[5201];
+ vX_[5451] = 0 - (0 - (vX_[8797] * vX_[249] + vX_[5451] * vX_[247]) + vX_[4409] * vX_[251] + vX_[4762] * vX_[165] +
+ vX_[6164] * vX_[236] + vX_[4680] * vX_[1852]);
+ vX_[6164] = 0 - vX_[4328];
+ vX_[8797] = 0 - vX_[6122];
+ vX_[4303] = (vX_[5201] * vX_[244] + vX_[5451] * vX_[206] + vX_[4303] * vX_[196] + vX_[6164] * vX_[258] +
+ vX_[8797] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[5201] = vX_[4684] * vX_[1114] + vX_[5201] * vX_[245] + vX_[4303];
+ vX_[4762] = vX_[5321] * vX_[195] + vX_[5201] * vX_[186];
+ vX_[4409] = vX_[5321] * vX_[186] + vX_[5201] * vX_[166];
+ vX_[5513] = vX_[6122] * vX_[186] + vX_[5219] * vX_[195];
+ vX_[5236] = vX_[6122] * vX_[166] + vX_[5219] * vX_[186];
+ vX_[5237] =
+ vX_[2811] + vX_[5237] * vX_[236] + vX_[6486] * vX_[251] * 2. + vX_[4652] * vX_[2017] + vX_[4691] * vX_[1852];
+ vX_[2811] = vX_[4335] - vX_[5237];
+ vX_[4753] = 0 - (vX_[4753] + vX_[1035] * vX_[236] + vX_[4849] * vX_[251] + vX_[4652] * vX_[1852]);
+ vX_[5705] =
+ 0 - (vX_[5705] + vX_[5246] * vX_[236] + vX_[2790] * vX_[251] + vX_[4652] * vX_[2019] + vX_[4689] * vX_[1852]);
+ vX_[5237] = 0 - vX_[5237];
+ vX_[4807] =
+ (vX_[4753] * vX_[206] + vX_[4807] * vX_[196] + vX_[5705] * vX_[258] + vX_[5237] * vX_[267]) * 1 / vX_[232];
+ vX_[4753] = 0 - vX_[4328] + vX_[4685] * vX_[1114] + vX_[5451] * vX_[245] + vX_[4753] * vX_[233] + vX_[4807];
+ vX_[6486] = vX_[6486] + vX_[4691] * vX_[2017];
+ vX_[7764] = vX_[7764] + vX_[4689] * vX_[2019];
+ vX_[5451] = 0 - vX_[7764];
+ vX_[2790] = vX_[2790] + vX_[4689] * vX_[2017] + vX_[4691] * vX_[2019];
+ vX_[5246] = 0 - vX_[2790];
+ vX_[4652] = (vX_[5451] * vX_[258] + vX_[5246] * vX_[267]) * 1 / vX_[232];
+ vX_[1035] = 0 - vX_[6486];
+ vX_[4849] = vX_[1035] * vX_[267] * 1 / vX_[232];
+ vX_[4807] = 0 - vX_[4684] * vX_[1772] - vX_[4685] * vX_[3822] - vX_[4687] * vX_[1086] - vX_[4688] * vX_[4089] +
+ vX_[4688] * vX_[1114] - vX_[4690] * vX_[1092] - vX_[4692] * vX_[1652] - vX_[4303] * vX_[245] -
+ vX_[4807] * vX_[233] - vX_[5214] * vX_[261] - vX_[4652] * vX_[525] - vX_[4849] * vX_[534];
+ vX_[4303] = 0 - vX_[6486] + vX_[4807];
+ vX_[4849] = vX_[4692] * vX_[1114] + vX_[8797] * vX_[245] + vX_[5237] * vX_[233] + vX_[5197] * vX_[261] +
+ vX_[5246] * vX_[525] + vX_[1035] * vX_[534] + vX_[4849];
+ vX_[4652] = vX_[4690] * vX_[1114] + vX_[6164] * vX_[245] + vX_[5705] * vX_[233] + vX_[8789] * vX_[261] +
+ vX_[5451] * vX_[525] + vX_[4652];
+ vX_[5451] = vX_[4303] * vX_[186] + vX_[4849] * vX_[195];
+ vX_[5705] = vX_[4303] * vX_[166] + vX_[4849] * vX_[186];
+ vX_[6164] = vX_[5451] * vX_[166] + vX_[5705] * vX_[186];
+ vX_[8789] = vX_[6486] + vX_[5451] * vX_[186];
+ vX_[4690] = vX_[6486] + vX_[5705] * vX_[166];
+ vX_[4807] = vX_[7764] + vX_[6486] + vX_[4807] - vX_[8789] - vX_[4690];
+ vX_[7764] = 0 - vX_[4807];
+ vX_[6486] = (vX_[4328] * vX_[186] + vX_[4335] * vX_[195]) * -1;
+ vX_[1035] = vX_[6486] + vX_[7764] * vX_[197];
+ vX_[5246] = 0 - vX_[1035];
+ vX_[6486] = 0 - (vX_[2811] * vX_[166] + vX_[4753] * vX_[186]) + vX_[6486];
+ vX_[5237] = (vX_[4328] * vX_[166] + vX_[4335] * vX_[186]) * -1;
+ vX_[8797] = vX_[5237] + vX_[4807] * vX_[202];
+ vX_[5197] = 0 - vX_[8797];
+ vX_[4692] = 0 - (vX_[2790] * vX_[166] + vX_[4652] * vX_[186]) + vX_[2790] * vX_[195] * -1 * 2.;
+ vX_[5214] = 0 - vX_[4692];
+ vX_[4688] = vX_[2790] * vX_[186] + vX_[4652] * vX_[195] + vX_[2790] * vX_[186] * -1 * 2.;
+ vX_[4687] = 0 - vX_[4688];
+ vX_[4727] = vX_[4727] * vX_[2025];
+ vX_[4726] = vX_[4726] * vX_[2025] + vX_[4720] * vX_[1219];
+ vX_[4720] = 0 - vX_[4726];
+ vX_[4721] = vX_[4721] * vX_[1219];
+ vX_[4746] = vX_[4719] * vX_[2013] + vX_[4746] * vX_[2018];
+ vX_[4719] = vX_[4799] * x_in[31];
+ vX_[4685] = vX_[4799] * x_in[32];
+ vX_[4684] = 0 - vX_[4685] - vX_[4719];
+ vX_[1656] = 0 - vX_[4736];
+ vX_[5306] = vX_[1656] * x_in[19] + vX_[4794] * x_in[20];
+ vX_[4747] = vX_[4747] * vX_[1252];
+ vX_[4311] = vX_[5306] + vX_[4747];
+ vX_[5210] = 0 - vX_[4690];
+ vX_[5237] = vX_[2811] * vX_[186] + vX_[4753] * vX_[195] + vX_[5237];
+ vX_[4267] = 0 - vX_[6164];
+ vX_[5372] = 0 - vX_[4690];
+ vX_[4287] = 0 - vX_[4727] - vX_[4721];
+ vX_[4412] = 0 - vX_[4746];
+ vX_[4318] = 0 - vX_[5306] - vX_[4747];
+ jac[493] =
+ 0 -
+ (vX_[4680] * vX_[803] + vX_[4686] * vX_[1982] + vX_[4676] * vX_[2014] + vX_[4691] * vX_[1297] +
+ vX_[5229] * vX_[242] + vX_[5263] * vX_[240] + vX_[5220] * vX_[241] + vX_[5209] * vX_[211] +
+ vX_[4328] * vX_[199] + vX_[5321] * vX_[188] + vX_[6122] * vX_[265] + vX_[4335] * vX_[254] +
+ vX_[5201] * vX_[194] + vX_[5219] * vX_[266] + vX_[4762] * vX_[193] + vX_[4409] * vX_[187] +
+ vX_[5513] * vX_[192] + vX_[5236] * vX_[185] + vX_[2811] * vX_[204] + vX_[4753] * vX_[200] +
+ vX_[4303] * vX_[230] + vX_[4849] * vX_[228] + vX_[2790] * vX_[578] + vX_[2790] * vX_[255] +
+ vX_[4652] * vX_[257] + vX_[5451] * vX_[182] + vX_[5705] * vX_[227] +
+ (vX_[6164] * vX_[203] + vX_[7764] * vX_[213] + vX_[8789] * vX_[198] + vX_[5246] * vX_[209] +
+ (vX_[6486] + vX_[8789] * vX_[197]) * 4.027 + vX_[5197] * vX_[211] + vX_[5214] * vX_[193] +
+ vX_[4687] * vX_[192] + vX_[6164] * vX_[180] + vX_[8789] * vX_[229]) *
+ -0.08 +
+ vX_[5779] * vX_[3339] + vX_[4769] * vX_[806] + vX_[4363] * vX_[4087] + vX_[4107] * vX_[3807] +
+ (vX_[4689] * vX_[803] + vX_[5779] * vX_[824]) * -0.08 + vX_[989] * vX_[235] + vX_[4806] * vX_[235] -
+ vX_[4727] * vX_[167] + vX_[4728] * 0.35 + vX_[4817] * vX_[1326] + vX_[4780] * vX_[1324] +
+ vX_[3831] * vX_[1098] + vX_[9372] * vX_[1095] + vX_[5243] * vX_[1270] + vX_[4943] * vX_[235] +
+ vX_[4720] * vX_[169] + vX_[5698] * vX_[1335] + vX_[3701] * vX_[1331] + vX_[5666] * vX_[1107] +
+ vX_[5601] * vX_[1096] + vX_[4982] * vX_[1272] + vX_[5665] * vX_[163] + vX_[4785] * vX_[235] -
+ vX_[4721] * vX_[167] + vX_[4723] * vX_[1137] + vX_[5196] * vX_[1135] + vX_[4722] * vX_[1285] +
+ vX_[7951] * vX_[1283] + vX_[4746] * vX_[167] * -0.33 + vX_[2479] * vX_[1187] + vX_[5276] * vX_[1185] +
+ vX_[4781] * vX_[1205] + vX_[4760] * vX_[1221] + vX_[4844] * vX_[1166] + vX_[6946] * vX_[1218] +
+ vX_[4815] * vX_[1160] + vX_[4802] * vX_[1172] + vX_[5393] * vX_[1162] + vX_[6141] * vX_[1170] +
+ vX_[6153] * vX_[1168] + (0 - vX_[4719]) * 0.35 + vX_[4684] * vX_[169] * 0.33 + vX_[2937] * vX_[1256] +
+ vX_[5272] * vX_[1254] + vX_[6573] * vX_[1249] + vX_[4776] * vX_[1203] + vX_[4311] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[4680] * vX_[1982] + vX_[4676] * vX_[1297] + vX_[5229] * vX_[240] + vX_[5220] * vX_[211] +
+ vX_[5209] * vX_[239] + vX_[4328] * vX_[254] + vX_[6122] * vX_[266] + vX_[5201] * vX_[188] +
+ vX_[4762] * vX_[192] + vX_[4409] * vX_[185] + vX_[2811] * vX_[200] + vX_[4303] * vX_[228] +
+ vX_[2790] * vX_[257] + vX_[5451] * vX_[227] + vX_[5705] * vX_[224] + vX_[4769] * vX_[3339] +
+ vX_[4107] * vX_[4087] - (vX_[4686] * vX_[803] + vX_[5779] * vX_[806]) +
+ (vX_[4689] * vX_[1982] +
+ (vX_[4807] * vX_[212] + vX_[5210] * vX_[203] + vX_[1035] * vX_[211] + vX_[8797] * vX_[210] +
+ (0 - (vX_[5237] + vX_[6164] * vX_[197] + vX_[5210] * vX_[202])) * 4.027 + vX_[4692] * vX_[187] +
+ vX_[4688] * vX_[185] + vX_[4267] * vX_[189] + vX_[5372] * vX_[223]) *
+ -1 +
+ vX_[4769] * vX_[824]) *
+ -0.08 -
+ (vX_[4691] * vX_[2014] + vX_[5263] * vX_[242] + vX_[5321] * vX_[194] + vX_[4335] * vX_[199] +
+ vX_[5219] * vX_[265] + vX_[5513] * vX_[193] + vX_[5236] * vX_[187] + vX_[4753] * vX_[204] +
+ vX_[4849] * vX_[230] + vX_[2790] * vX_[256] + vX_[4652] * vX_[255] + vX_[4363] * vX_[3807]) +
+ vX_[5244] * vX_[163] + vX_[5193] * vX_[163] + vX_[4743] * vX_[1320] + vX_[4711] * vX_[1091] +
+ vX_[4817] * vX_[1327] + vX_[4782] * vX_[1323] + vX_[3831] * vX_[1099] + vX_[8151] * vX_[1096] +
+ vX_[4047] * vX_[1272] + vX_[4414] * vX_[163] + vX_[4726] * vX_[167] + vX_[5698] * vX_[1334] +
+ vX_[3701] * vX_[1332] + vX_[4109] * vX_[1106] + vX_[5601] * vX_[1104] + vX_[4695] * vX_[1276] +
+ vX_[4708] * vX_[163] + vX_[4709] * vX_[235] + vX_[4287] * vX_[169] + vX_[2091] * vX_[1133] +
+ vX_[4808] * vX_[1281] + (0 - vX_[4746]) * 0.35 + vX_[4412] * vX_[169] * 0.33 + vX_[5280] * vX_[1183] +
+ vX_[4790] * vX_[1201] + vX_[4714] * vX_[1223] + vX_[5231] * vX_[1213] + vX_[5267] * vX_[1168] +
+ vX_[4803] * vX_[1216] + vX_[4788] * vX_[1174] + vX_[4786] * vX_[1164] + vX_[4814] * vX_[1160] +
+ vX_[4925] * vX_[1166] + vX_[4685] * vX_[167] * 0.33 + vX_[4719] * vX_[167] * 0.33 + vX_[4804] * vX_[1178] +
+ vX_[4771] * vX_[1247] + (0 - vX_[5306] - vX_[4747]) * 0.35 + vX_[4318] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[3508] = vX_[5025] + vX_[3508] * vX_[235] + vX_[4356] * vX_[249];
+ vX_[4984] = vX_[5025] + vX_[6150] * vX_[249] + vX_[4984] * vX_[247];
+ vX_[4375] = vX_[2755] + vX_[4592] + vX_[5025] - vX_[3508] - vX_[4984] + vX_[4716] * vX_[236] + vX_[4375] * vX_[165];
+ vX_[4984] = vX_[4984] + vX_[4770] * vX_[165] + vX_[6124] * vX_[251] + vX_[5115] * vX_[1860];
+ vX_[4770] = vX_[4375] - vX_[4984];
+ vX_[8223] = vX_[4514] * vX_[235] + vX_[8223] * vX_[249] + vX_[4696] * vX_[251] + vX_[6564] * vX_[236] +
+ vX_[4331] * vX_[165] + vX_[5109] * vX_[1860];
+ vX_[4331] = vX_[4770] * vX_[186] + vX_[8223] * vX_[195];
+ vX_[6564] = vX_[4770] * vX_[166] + vX_[8223] * vX_[186];
+ vX_[4389] = vX_[4732] + vX_[4389] * vX_[165] + vX_[3215] * vX_[236] * 2. + vX_[5109] * vX_[2019];
+ vX_[4732] = 0 - vX_[8223];
+ vX_[3517] = 0 - (vX_[6150] * vX_[235] + vX_[4356] * vX_[247] + vX_[7395] * vX_[249] + vX_[4740] * vX_[165] +
+ vX_[3517] * vX_[236] + vX_[6117] * vX_[251] + vX_[5081] * vX_[1860] + vX_[5115] * vX_[1852]);
+ vX_[7395] = 0 - vX_[4984];
+ vX_[5725] =
+ vX_[3913] + vX_[5725] * vX_[165] + vX_[6536] * vX_[251] * 2. + vX_[5115] * vX_[2019] + vX_[5118] * vX_[1860];
+ vX_[6536] = 0 - vX_[5725];
+ vX_[6165] = vX_[6152] + vX_[7532] * vX_[165] + vX_[6165] * vX_[251] + vX_[5115] * vX_[2017] + vX_[5120] * vX_[1860];
+ vX_[6152] = 0 - vX_[6165];
+ vX_[7532] = (vX_[7395] * vX_[196] + vX_[6536] * vX_[258] + vX_[6152] * vX_[267]) * 1 / vX_[232];
+ vX_[7395] = vX_[5116] * vX_[1114] + vX_[4732] * vX_[245] + vX_[3517] * vX_[233] + vX_[7395] * vX_[261] + vX_[7532];
+ vX_[4377] = vX_[4767] + vX_[7098] * vX_[236] + vX_[4377] * vX_[165] * 2. + vX_[5109] * vX_[2017];
+ vX_[4375] = 0 - vX_[4375];
+ vX_[6154] = 0 - (0 - (vX_[4514] * vX_[249] + vX_[6154] * vX_[247]) + vX_[4775] * vX_[251] + vX_[5728] * vX_[165] +
+ vX_[4378] * vX_[236] + vX_[5109] * vX_[1852]);
+ vX_[4378] = 0 - vX_[4389];
+ vX_[4514] = 0 - vX_[4377];
+ vX_[4732] = (vX_[4375] * vX_[244] + vX_[6154] * vX_[206] + vX_[4732] * vX_[196] + vX_[4378] * vX_[258] +
+ vX_[4514] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[4375] = vX_[5113] * vX_[1114] + vX_[4375] * vX_[245] + vX_[4732];
+ vX_[5728] = vX_[7395] * vX_[195] + vX_[4375] * vX_[186];
+ vX_[4775] = vX_[7395] * vX_[186] + vX_[4375] * vX_[166];
+ vX_[4767] = vX_[4377] * vX_[186] + vX_[6165] * vX_[195];
+ vX_[3913] = vX_[4377] * vX_[166] + vX_[6165] * vX_[186];
+ vX_[4558] =
+ vX_[4324] + vX_[4558] * vX_[236] + vX_[5848] * vX_[251] * 2. + vX_[5081] * vX_[2017] + vX_[5120] * vX_[1852];
+ vX_[4324] = vX_[5725] - vX_[4558];
+ vX_[3508] = 0 - (vX_[3508] + vX_[3524] * vX_[236] + vX_[4330] * vX_[251] + vX_[5081] * vX_[1852]);
+ vX_[3705] =
+ 0 - (vX_[3705] + vX_[3933] * vX_[236] + vX_[7098] * vX_[251] + vX_[5081] * vX_[2019] + vX_[5118] * vX_[1852]);
+ vX_[4558] = 0 - vX_[4558];
+ vX_[3517] =
+ (vX_[3508] * vX_[206] + vX_[3517] * vX_[196] + vX_[3705] * vX_[258] + vX_[4558] * vX_[267]) * 1 / vX_[232];
+ vX_[3508] = 0 - vX_[4389] + vX_[5114] * vX_[1114] + vX_[6154] * vX_[245] + vX_[3508] * vX_[233] + vX_[3517];
+ vX_[5848] = vX_[5848] + vX_[5120] * vX_[2017];
+ vX_[3215] = vX_[3215] + vX_[5118] * vX_[2019];
+ vX_[6154] = 0 - vX_[3215];
+ vX_[7098] = vX_[7098] + vX_[5118] * vX_[2017] + vX_[5120] * vX_[2019];
+ vX_[3933] = 0 - vX_[7098];
+ vX_[5081] = (vX_[6154] * vX_[258] + vX_[3933] * vX_[267]) * 1 / vX_[232];
+ vX_[3524] = 0 - vX_[5848];
+ vX_[4330] = vX_[3524] * vX_[267] * 1 / vX_[232];
+ vX_[3517] = 0 - vX_[5113] * vX_[1772] - vX_[5114] * vX_[3822] - vX_[5116] * vX_[1086] - vX_[5117] * vX_[4089] +
+ vX_[5117] * vX_[1114] - vX_[5119] * vX_[1092] - vX_[5121] * vX_[1652] - vX_[4732] * vX_[245] -
+ vX_[3517] * vX_[233] - vX_[7532] * vX_[261] - vX_[5081] * vX_[525] - vX_[4330] * vX_[534];
+ vX_[4732] = 0 - vX_[5848] + vX_[3517];
+ vX_[4330] = vX_[5121] * vX_[1114] + vX_[4514] * vX_[245] + vX_[4558] * vX_[233] + vX_[6152] * vX_[261] +
+ vX_[3933] * vX_[525] + vX_[3524] * vX_[534] + vX_[4330];
+ vX_[5081] = vX_[5119] * vX_[1114] + vX_[4378] * vX_[245] + vX_[3705] * vX_[233] + vX_[6536] * vX_[261] +
+ vX_[6154] * vX_[525] + vX_[5081];
+ vX_[6154] = vX_[4732] * vX_[186] + vX_[4330] * vX_[195];
+ vX_[3705] = vX_[4732] * vX_[166] + vX_[4330] * vX_[186];
+ vX_[4378] = vX_[6154] * vX_[166] + vX_[3705] * vX_[186];
+ vX_[6536] = vX_[5848] + vX_[6154] * vX_[186];
+ vX_[5119] = vX_[5848] + vX_[3705] * vX_[166];
+ vX_[3517] = vX_[3215] + vX_[5848] + vX_[3517] - vX_[6536] - vX_[5119];
+ vX_[3215] = 0 - vX_[3517];
+ vX_[5848] = (vX_[4389] * vX_[186] + vX_[5725] * vX_[195]) * -1;
+ vX_[3524] = vX_[5848] + vX_[3215] * vX_[197];
+ vX_[3933] = 0 - vX_[3524];
+ vX_[5848] = 0 - (vX_[4324] * vX_[166] + vX_[3508] * vX_[186]) + vX_[5848];
+ vX_[4558] = (vX_[4389] * vX_[166] + vX_[5725] * vX_[186]) * -1;
+ vX_[4514] = vX_[4558] + vX_[3517] * vX_[202];
+ vX_[6152] = 0 - vX_[4514];
+ vX_[5121] = 0 - (vX_[7098] * vX_[166] + vX_[5081] * vX_[186]) + vX_[7098] * vX_[195] * -1 * 2.;
+ vX_[7532] = 0 - vX_[5121];
+ vX_[5117] = vX_[7098] * vX_[186] + vX_[5081] * vX_[195] + vX_[7098] * vX_[186] * -1 * 2.;
+ vX_[5116] = 0 - vX_[5117];
+ vX_[5156] = vX_[5156] * vX_[2025];
+ vX_[5155] = vX_[5155] * vX_[2025] + vX_[5149] * vX_[1219];
+ vX_[5149] = 0 - vX_[5155];
+ vX_[5150] = vX_[5150] * vX_[1219];
+ vX_[5175] = vX_[5148] * vX_[2013] + vX_[5175] * vX_[2018];
+ vX_[5148] = vX_[4342] * x_in[31];
+ vX_[5114] = vX_[4342] * x_in[32];
+ vX_[5113] = 0 - vX_[5114] - vX_[5148];
+ vX_[4356] = 0 - vX_[5165];
+ vX_[6150] = vX_[4356] * x_in[19] + vX_[4349] * x_in[20];
+ vX_[5176] = vX_[5176] * vX_[1252];
+ vX_[4740] = vX_[6150] + vX_[5176];
+ vX_[6117] = 0 - vX_[5119];
+ vX_[4558] = vX_[4324] * vX_[186] + vX_[3508] * vX_[195] + vX_[4558];
+ vX_[4696] = 0 - vX_[4378];
+ vX_[6124] = 0 - vX_[5119];
+ vX_[4716] = 0 - vX_[5156] - vX_[5150];
+ vX_[5210] = 0 - vX_[5175];
+ vX_[4747] = 0 - vX_[6150] - vX_[5176];
+ jac[494] =
+ 0 -
+ (vX_[5109] * vX_[803] + vX_[5115] * vX_[1982] + vX_[5105] * vX_[2014] + vX_[5120] * vX_[1297] +
+ vX_[4770] * vX_[242] + vX_[8223] * vX_[240] + vX_[4331] * vX_[241] + vX_[6564] * vX_[211] +
+ vX_[4389] * vX_[199] + vX_[7395] * vX_[188] + vX_[4377] * vX_[265] + vX_[5725] * vX_[254] +
+ vX_[4375] * vX_[194] + vX_[6165] * vX_[266] + vX_[5728] * vX_[193] + vX_[4775] * vX_[187] +
+ vX_[4767] * vX_[192] + vX_[3913] * vX_[185] + vX_[4324] * vX_[204] + vX_[3508] * vX_[200] +
+ vX_[4732] * vX_[230] + vX_[4330] * vX_[228] + vX_[7098] * vX_[578] + vX_[7098] * vX_[255] +
+ vX_[5081] * vX_[257] + vX_[6154] * vX_[182] + vX_[3705] * vX_[227] +
+ (vX_[4378] * vX_[203] + vX_[3215] * vX_[213] + vX_[6536] * vX_[198] + vX_[3933] * vX_[209] +
+ (vX_[5848] + vX_[6536] * vX_[197]) * 4.027 + vX_[6152] * vX_[211] + vX_[7532] * vX_[193] +
+ vX_[5116] * vX_[192] + vX_[4378] * vX_[180] + vX_[6536] * vX_[229]) *
+ -0.08 +
+ vX_[8650] * vX_[3339] + vX_[4364] * vX_[806] + vX_[4359] * vX_[4087] + vX_[4339] * vX_[3807] +
+ (vX_[5118] * vX_[803] + vX_[8650] * vX_[824]) * -0.08 + vX_[7938] * vX_[235] + vX_[6569] * vX_[235] -
+ vX_[5156] * vX_[167] + vX_[5157] * 0.35 + vX_[3537] * vX_[1326] + vX_[7535] * vX_[1324] +
+ vX_[4362] * vX_[1098] + vX_[6878] * vX_[1095] + vX_[6559] * vX_[1270] + vX_[7046] * vX_[235] +
+ vX_[5149] * vX_[169] + vX_[6582] * vX_[1335] + vX_[6672] * vX_[1331] + vX_[4725] * vX_[1107] +
+ vX_[4847] * vX_[1096] + vX_[5202] * vX_[1272] + vX_[4348] * vX_[163] + vX_[7017] * vX_[235] -
+ vX_[5150] * vX_[167] + vX_[5152] * vX_[1137] + vX_[3711] * vX_[1135] + vX_[5151] * vX_[1285] +
+ vX_[7476] * vX_[1283] + vX_[5175] * vX_[167] * -0.33 + vX_[4338] * vX_[1187] + vX_[4346] * vX_[1185] +
+ vX_[7042] * vX_[1205] + vX_[4361] * vX_[1221] + vX_[6140] * vX_[1166] + vX_[7401] * vX_[1218] +
+ vX_[6113] * vX_[1160] + vX_[3975] * vX_[1172] + vX_[6578] * vX_[1162] + vX_[6381] * vX_[1170] +
+ vX_[4365] * vX_[1168] + (0 - vX_[5148]) * 0.35 + vX_[5113] * vX_[169] * 0.33 + vX_[4344] * vX_[1256] +
+ vX_[3918] * vX_[1254] + vX_[3950] * vX_[1249] + vX_[3956] * vX_[1203] + vX_[4740] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[5109] * vX_[1982] + vX_[5105] * vX_[1297] + vX_[4770] * vX_[240] + vX_[4331] * vX_[211] +
+ vX_[6564] * vX_[239] + vX_[4389] * vX_[254] + vX_[4377] * vX_[266] + vX_[4375] * vX_[188] +
+ vX_[5728] * vX_[192] + vX_[4775] * vX_[185] + vX_[4324] * vX_[200] + vX_[4732] * vX_[228] +
+ vX_[7098] * vX_[257] + vX_[6154] * vX_[227] + vX_[3705] * vX_[224] + vX_[4364] * vX_[3339] +
+ vX_[4339] * vX_[4087] - (vX_[5115] * vX_[803] + vX_[8650] * vX_[806]) +
+ (vX_[5118] * vX_[1982] +
+ (vX_[3517] * vX_[212] + vX_[6117] * vX_[203] + vX_[3524] * vX_[211] + vX_[4514] * vX_[210] +
+ (0 - (vX_[4558] + vX_[4378] * vX_[197] + vX_[6117] * vX_[202])) * 4.027 + vX_[5121] * vX_[187] +
+ vX_[5117] * vX_[185] + vX_[4696] * vX_[189] + vX_[6124] * vX_[223]) *
+ -1 +
+ vX_[4364] * vX_[824]) *
+ -0.08 -
+ (vX_[5120] * vX_[2014] + vX_[8223] * vX_[242] + vX_[7395] * vX_[194] + vX_[5725] * vX_[199] +
+ vX_[6165] * vX_[265] + vX_[4767] * vX_[193] + vX_[3913] * vX_[187] + vX_[3508] * vX_[204] +
+ vX_[4330] * vX_[230] + vX_[7098] * vX_[256] + vX_[5081] * vX_[255] + vX_[4359] * vX_[3807]) +
+ vX_[5714] * vX_[163] + vX_[2914] * vX_[163] + vX_[5172] * vX_[1320] + vX_[5140] * vX_[1091] +
+ vX_[3537] * vX_[1327] + vX_[7399] * vX_[1323] + vX_[4362] * vX_[1099] + vX_[1843] * vX_[1096] +
+ vX_[5203] * vX_[1272] + vX_[4568] * vX_[163] + vX_[5155] * vX_[167] + vX_[6582] * vX_[1334] +
+ vX_[6672] * vX_[1332] + vX_[7888] * vX_[1106] + vX_[4847] * vX_[1104] + vX_[5124] * vX_[1276] +
+ vX_[5137] * vX_[163] + vX_[5138] * vX_[235] + vX_[4716] * vX_[169] + vX_[3925] * vX_[1133] +
+ vX_[7101] * vX_[1281] + (0 - vX_[5175]) * 0.35 + vX_[5210] * vX_[169] * 0.33 + vX_[4345] * vX_[1183] +
+ vX_[6689] * vX_[1201] + vX_[5143] * vX_[1223] + vX_[4390] * vX_[1213] + vX_[4374] * vX_[1168] +
+ vX_[3552] * vX_[1216] + vX_[3976] * vX_[1174] + vX_[6572] * vX_[1164] + vX_[6730] * vX_[1160] +
+ vX_[5354] * vX_[1166] + vX_[5114] * vX_[167] * 0.33 + vX_[5148] * vX_[167] * 0.33 + vX_[6728] * vX_[1178] +
+ vX_[8725] * vX_[1247] + (0 - vX_[6150] - vX_[5176]) * 0.35 + vX_[4747] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[6385] = vX_[5444] + vX_[6385] * vX_[235] + vX_[7826] * vX_[249];
+ vX_[3519] = vX_[5444] + vX_[3513] * vX_[249] + vX_[3519] * vX_[247];
+ vX_[7837] = vX_[1977] + vX_[5021] + vX_[5444] - vX_[6385] - vX_[3519] + vX_[5145] * vX_[236] + vX_[7837] * vX_[165];
+ vX_[3519] = vX_[3519] + vX_[5879] * vX_[165] + vX_[1491] * vX_[251] + vX_[5534] * vX_[1860];
+ vX_[5879] = vX_[7837] - vX_[3519];
+ vX_[7654] = vX_[6529] * vX_[235] + vX_[7654] * vX_[249] + vX_[5125] * vX_[251] + vX_[7656] * vX_[236] +
+ vX_[3946] * vX_[165] + vX_[5528] * vX_[1860];
+ vX_[3946] = vX_[5879] * vX_[186] + vX_[7654] * vX_[195];
+ vX_[7656] = vX_[5879] * vX_[166] + vX_[7654] * vX_[186];
+ vX_[3485] = vX_[5161] + vX_[3485] * vX_[165] + vX_[8334] * vX_[236] * 2. + vX_[5528] * vX_[2019];
+ vX_[5161] = 0 - vX_[7654];
+ vX_[3578] = 0 - (vX_[3513] * vX_[235] + vX_[7826] * vX_[247] + vX_[5600] * vX_[249] + vX_[5169] * vX_[165] +
+ vX_[3578] * vX_[236] + vX_[7409] * vX_[251] + vX_[5500] * vX_[1860] + vX_[5534] * vX_[1852]);
+ vX_[5600] = 0 - vX_[3519];
+ vX_[2440] =
+ vX_[3974] + vX_[2440] * vX_[165] + vX_[7843] * vX_[251] * 2. + vX_[5534] * vX_[2019] + vX_[5537] * vX_[1860];
+ vX_[7843] = 0 - vX_[2440];
+ vX_[3959] = vX_[3937] + vX_[6549] * vX_[165] + vX_[3959] * vX_[251] + vX_[5534] * vX_[2017] + vX_[5539] * vX_[1860];
+ vX_[3937] = 0 - vX_[3959];
+ vX_[6549] = (vX_[5600] * vX_[196] + vX_[7843] * vX_[258] + vX_[3937] * vX_[267]) * 1 / vX_[232];
+ vX_[5600] = vX_[5535] * vX_[1114] + vX_[5161] * vX_[245] + vX_[3578] * vX_[233] + vX_[5600] * vX_[261] + vX_[6549];
+ vX_[6997] = vX_[3284] + vX_[5352] * vX_[236] + vX_[6997] * vX_[165] * 2. + vX_[5528] * vX_[2017];
+ vX_[7837] = 0 - vX_[7837];
+ vX_[6992] = 0 - (0 - (vX_[6529] * vX_[249] + vX_[6992] * vX_[247]) + vX_[5882] * vX_[251] + vX_[3118] * vX_[165] +
+ vX_[3111] * vX_[236] + vX_[5528] * vX_[1852]);
+ vX_[3111] = 0 - vX_[3485];
+ vX_[6529] = 0 - vX_[6997];
+ vX_[5161] = (vX_[7837] * vX_[244] + vX_[6992] * vX_[206] + vX_[5161] * vX_[196] + vX_[3111] * vX_[258] +
+ vX_[6529] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[7837] = vX_[5532] * vX_[1114] + vX_[7837] * vX_[245] + vX_[5161];
+ vX_[3118] = vX_[5600] * vX_[195] + vX_[7837] * vX_[186];
+ vX_[5882] = vX_[5600] * vX_[186] + vX_[7837] * vX_[166];
+ vX_[3284] = vX_[6997] * vX_[186] + vX_[3959] * vX_[195];
+ vX_[3974] = vX_[6997] * vX_[166] + vX_[3959] * vX_[186];
+ vX_[3947] =
+ vX_[6545] + vX_[3947] * vX_[236] + vX_[4504] * vX_[251] * 2. + vX_[5500] * vX_[2017] + vX_[5539] * vX_[1852];
+ vX_[6545] = vX_[2440] - vX_[3947];
+ vX_[6385] = 0 - (vX_[6385] + vX_[6989] * vX_[236] + vX_[3964] * vX_[251] + vX_[5500] * vX_[1852]);
+ vX_[3924] =
+ 0 - (vX_[3924] + vX_[3936] * vX_[236] + vX_[5352] * vX_[251] + vX_[5500] * vX_[2019] + vX_[5537] * vX_[1852]);
+ vX_[3947] = 0 - vX_[3947];
+ vX_[3578] =
+ (vX_[6385] * vX_[206] + vX_[3578] * vX_[196] + vX_[3924] * vX_[258] + vX_[3947] * vX_[267]) * 1 / vX_[232];
+ vX_[6385] = 0 - vX_[3485] + vX_[5533] * vX_[1114] + vX_[6992] * vX_[245] + vX_[6385] * vX_[233] + vX_[3578];
+ vX_[4504] = vX_[4504] + vX_[5539] * vX_[2017];
+ vX_[8334] = vX_[8334] + vX_[5537] * vX_[2019];
+ vX_[6992] = 0 - vX_[8334];
+ vX_[5352] = vX_[5352] + vX_[5537] * vX_[2017] + vX_[5539] * vX_[2019];
+ vX_[3936] = 0 - vX_[5352];
+ vX_[5500] = (vX_[6992] * vX_[258] + vX_[3936] * vX_[267]) * 1 / vX_[232];
+ vX_[6989] = 0 - vX_[4504];
+ vX_[3964] = vX_[6989] * vX_[267] * 1 / vX_[232];
+ vX_[3578] = 0 - vX_[5532] * vX_[1772] - vX_[5533] * vX_[3822] - vX_[5535] * vX_[1086] - vX_[5536] * vX_[4089] +
+ vX_[5536] * vX_[1114] - vX_[5538] * vX_[1092] - vX_[5540] * vX_[1652] - vX_[5161] * vX_[245] -
+ vX_[3578] * vX_[233] - vX_[6549] * vX_[261] - vX_[5500] * vX_[525] - vX_[3964] * vX_[534];
+ vX_[5161] = 0 - vX_[4504] + vX_[3578];
+ vX_[3964] = vX_[5540] * vX_[1114] + vX_[6529] * vX_[245] + vX_[3947] * vX_[233] + vX_[3937] * vX_[261] +
+ vX_[3936] * vX_[525] + vX_[6989] * vX_[534] + vX_[3964];
+ vX_[5500] = vX_[5538] * vX_[1114] + vX_[3111] * vX_[245] + vX_[3924] * vX_[233] + vX_[7843] * vX_[261] +
+ vX_[6992] * vX_[525] + vX_[5500];
+ vX_[6992] = vX_[5161] * vX_[186] + vX_[3964] * vX_[195];
+ vX_[3924] = vX_[5161] * vX_[166] + vX_[3964] * vX_[186];
+ vX_[3111] = vX_[6992] * vX_[166] + vX_[3924] * vX_[186];
+ vX_[7843] = vX_[4504] + vX_[6992] * vX_[186];
+ vX_[5538] = vX_[4504] + vX_[3924] * vX_[166];
+ vX_[3578] = vX_[8334] + vX_[4504] + vX_[3578] - vX_[7843] - vX_[5538];
+ vX_[8334] = 0 - vX_[3578];
+ vX_[4504] = (vX_[3485] * vX_[186] + vX_[2440] * vX_[195]) * -1;
+ vX_[6989] = vX_[4504] + vX_[8334] * vX_[197];
+ vX_[3936] = 0 - vX_[6989];
+ vX_[4504] = 0 - (vX_[6545] * vX_[166] + vX_[6385] * vX_[186]) + vX_[4504];
+ vX_[3947] = (vX_[3485] * vX_[166] + vX_[2440] * vX_[186]) * -1;
+ vX_[6529] = vX_[3947] + vX_[3578] * vX_[202];
+ vX_[3937] = 0 - vX_[6529];
+ vX_[5540] = 0 - (vX_[5352] * vX_[166] + vX_[5500] * vX_[186]) + vX_[5352] * vX_[195] * -1 * 2.;
+ vX_[6549] = 0 - vX_[5540];
+ vX_[5536] = vX_[5352] * vX_[186] + vX_[5500] * vX_[195] + vX_[5352] * vX_[186] * -1 * 2.;
+ vX_[5535] = 0 - vX_[5536];
+ vX_[5575] = vX_[5575] * vX_[2025];
+ vX_[5574] = vX_[5574] * vX_[2025] + vX_[5568] * vX_[1219];
+ vX_[5568] = 0 - vX_[5574];
+ vX_[5569] = vX_[5569] * vX_[1219];
+ vX_[5594] = vX_[5567] * vX_[2013] + vX_[5594] * vX_[2018];
+ vX_[5567] = vX_[6964] * x_in[31];
+ vX_[5533] = vX_[6964] * x_in[32];
+ vX_[5532] = 0 - vX_[5533] - vX_[5567];
+ vX_[7826] = 0 - vX_[5584];
+ vX_[3513] = vX_[7826] * x_in[19] + vX_[3559] * x_in[20];
+ vX_[5595] = vX_[5595] * vX_[1252];
+ vX_[5169] = vX_[3513] + vX_[5595];
+ vX_[7409] = 0 - vX_[5538];
+ vX_[3947] = vX_[6545] * vX_[186] + vX_[6385] * vX_[195] + vX_[3947];
+ vX_[5125] = 0 - vX_[3111];
+ vX_[1491] = 0 - vX_[5538];
+ vX_[5145] = 0 - vX_[5575] - vX_[5569];
+ vX_[6117] = 0 - vX_[5594];
+ vX_[5176] = 0 - vX_[3513] - vX_[5595];
+ jac[495] =
+ 0 -
+ (vX_[5528] * vX_[803] + vX_[5534] * vX_[1982] + vX_[5524] * vX_[2014] + vX_[5539] * vX_[1297] +
+ vX_[5879] * vX_[242] + vX_[7654] * vX_[240] + vX_[3946] * vX_[241] + vX_[7656] * vX_[211] +
+ vX_[3485] * vX_[199] + vX_[5600] * vX_[188] + vX_[6997] * vX_[265] + vX_[2440] * vX_[254] +
+ vX_[7837] * vX_[194] + vX_[3959] * vX_[266] + vX_[3118] * vX_[193] + vX_[5882] * vX_[187] +
+ vX_[3284] * vX_[192] + vX_[3974] * vX_[185] + vX_[6545] * vX_[204] + vX_[6385] * vX_[200] +
+ vX_[5161] * vX_[230] + vX_[3964] * vX_[228] + vX_[5352] * vX_[578] + vX_[5352] * vX_[255] +
+ vX_[5500] * vX_[257] + vX_[6992] * vX_[182] + vX_[3924] * vX_[227] +
+ (vX_[3111] * vX_[203] + vX_[8334] * vX_[213] + vX_[7843] * vX_[198] + vX_[3936] * vX_[209] +
+ (vX_[4504] + vX_[7843] * vX_[197]) * 4.027 + vX_[3937] * vX_[211] + vX_[6549] * vX_[193] +
+ vX_[5535] * vX_[192] + vX_[3111] * vX_[180] + vX_[7843] * vX_[229]) *
+ -0.08 +
+ vX_[3529] * vX_[3339] + vX_[3932] * vX_[806] + vX_[3580] * vX_[4087] + vX_[7515] * vX_[3807] +
+ (vX_[5537] * vX_[803] + vX_[3529] * vX_[824]) * -0.08 + vX_[3566] * vX_[235] + vX_[3542] * vX_[235] -
+ vX_[5575] * vX_[167] + vX_[5576] * 0.35 + vX_[3540] * vX_[1326] + vX_[7416] * vX_[1324] +
+ vX_[3520] * vX_[1098] + vX_[7453] * vX_[1095] + vX_[6971] * vX_[1270] + vX_[7433] * vX_[235] +
+ vX_[5568] * vX_[169] + vX_[4823] * vX_[1335] + vX_[3545] * vX_[1331] + vX_[4388] * vX_[1107] +
+ vX_[5007] * vX_[1096] + vX_[5727] * vX_[1272] + vX_[4351] * vX_[163] + vX_[5765] * vX_[235] -
+ vX_[5569] * vX_[167] + vX_[5571] * vX_[1137] + vX_[3931] * vX_[1135] + vX_[5570] * vX_[1285] +
+ vX_[3528] * vX_[1283] + vX_[5594] * vX_[167] * -0.33 + vX_[6251] * vX_[1187] + vX_[7013] * vX_[1185] +
+ vX_[1043] * vX_[1205] + vX_[7873] * vX_[1221] + vX_[7832] * vX_[1166] + vX_[8228] * vX_[1218] +
+ vX_[5746] * vX_[1160] + vX_[3575] * vX_[1172] + vX_[8003] * vX_[1162] + vX_[7827] * vX_[1170] +
+ vX_[3934] * vX_[1168] + (0 - vX_[5567]) * 0.35 + vX_[5532] * vX_[169] * 0.33 + vX_[6988] * vX_[1256] +
+ vX_[6966] * vX_[1254] + vX_[3538] * vX_[1249] + vX_[3530] * vX_[1203] + vX_[5169] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[5528] * vX_[1982] + vX_[5524] * vX_[1297] + vX_[5879] * vX_[240] + vX_[3946] * vX_[211] +
+ vX_[7656] * vX_[239] + vX_[3485] * vX_[254] + vX_[6997] * vX_[266] + vX_[7837] * vX_[188] +
+ vX_[3118] * vX_[192] + vX_[5882] * vX_[185] + vX_[6545] * vX_[200] + vX_[5161] * vX_[228] +
+ vX_[5352] * vX_[257] + vX_[6992] * vX_[227] + vX_[3924] * vX_[224] + vX_[3932] * vX_[3339] +
+ vX_[7515] * vX_[4087] - (vX_[5534] * vX_[803] + vX_[3529] * vX_[806]) +
+ (vX_[5537] * vX_[1982] +
+ (vX_[3578] * vX_[212] + vX_[7409] * vX_[203] + vX_[6989] * vX_[211] + vX_[6529] * vX_[210] +
+ (0 - (vX_[3947] + vX_[3111] * vX_[197] + vX_[7409] * vX_[202])) * 4.027 + vX_[5540] * vX_[187] +
+ vX_[5536] * vX_[185] + vX_[5125] * vX_[189] + vX_[1491] * vX_[223]) *
+ -1 +
+ vX_[3932] * vX_[824]) *
+ -0.08 -
+ (vX_[5539] * vX_[2014] + vX_[7654] * vX_[242] + vX_[5600] * vX_[194] + vX_[2440] * vX_[199] +
+ vX_[3959] * vX_[265] + vX_[3284] * vX_[193] + vX_[3974] * vX_[187] + vX_[6385] * vX_[204] +
+ vX_[3964] * vX_[230] + vX_[5352] * vX_[256] + vX_[5500] * vX_[255] + vX_[3580] * vX_[3807]) +
+ vX_[7522] * vX_[163] + vX_[7038] * vX_[163] + vX_[5591] * vX_[1320] + vX_[5559] * vX_[1091] +
+ vX_[3540] * vX_[1327] + vX_[3703] * vX_[1323] + vX_[3520] * vX_[1099] + vX_[2773] * vX_[1096] +
+ vX_[3257] * vX_[1272] + vX_[6136] * vX_[163] + vX_[5574] * vX_[167] + vX_[4823] * vX_[1334] +
+ vX_[3545] * vX_[1332] + vX_[7858] * vX_[1106] + vX_[5007] * vX_[1104] + vX_[5543] * vX_[1276] +
+ vX_[5556] * vX_[163] + vX_[5557] * vX_[235] + vX_[5145] * vX_[169] + vX_[3553] * vX_[1133] +
+ vX_[3551] * vX_[1281] + (0 - vX_[5594]) * 0.35 + vX_[6117] * vX_[169] * 0.33 + vX_[6984] * vX_[1183] +
+ vX_[3563] * vX_[1201] + vX_[5562] * vX_[1223] + vX_[3971] * vX_[1213] + vX_[3146] * vX_[1168] +
+ vX_[3548] * vX_[1216] + vX_[3546] * vX_[1174] + vX_[3574] * vX_[1164] + vX_[7405] * vX_[1160] +
+ vX_[5773] * vX_[1166] + vX_[5533] * vX_[167] * 0.33 + vX_[5567] * vX_[167] * 0.33 + vX_[3567] * vX_[1178] +
+ vX_[3527] * vX_[1247] + (0 - vX_[3513] - vX_[5595]) * 0.35 + vX_[5176] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[1120] = vX_[5873] + vX_[1120] * vX_[235] + vX_[4934] * vX_[249];
+ vX_[3162] = vX_[5873] + vX_[7390] * vX_[249] + vX_[3162] * vX_[247];
+ vX_[3161] = vX_[3726] + vX_[5440] + vX_[5873] - vX_[1120] - vX_[3162] + vX_[5564] * vX_[236] + vX_[3161] * vX_[165];
+ vX_[3162] = vX_[3162] + vX_[3526] * vX_[165] + vX_[2608] * vX_[251] + vX_[5963] * vX_[1860];
+ vX_[3526] = vX_[3161] - vX_[3162];
+ vX_[3139] = vX_[2457] * vX_[235] + vX_[3139] * vX_[249] + vX_[5544] * vX_[251] + vX_[7825] * vX_[236] +
+ vX_[7441] * vX_[165] + vX_[5957] * vX_[1860];
+ vX_[7441] = vX_[3526] * vX_[186] + vX_[3139] * vX_[195];
+ vX_[7825] = vX_[3526] * vX_[166] + vX_[3139] * vX_[186];
+ vX_[3171] = vX_[5580] + vX_[3171] * vX_[165] + vX_[4432] * vX_[236] * 2. + vX_[5957] * vX_[2019];
+ vX_[5580] = 0 - vX_[3139];
+ vX_[2652] = 0 - (vX_[7390] * vX_[235] + vX_[4934] * vX_[247] + vX_[3122] * vX_[249] + vX_[5588] * vX_[165] +
+ vX_[2652] * vX_[236] + vX_[26] * vX_[251] + vX_[5929] * vX_[1860] + vX_[5963] * vX_[1852]);
+ vX_[3122] = 0 - vX_[3162];
+ vX_[3160] =
+ vX_[3079] + vX_[3160] * vX_[165] + vX_[8288] * vX_[251] * 2. + vX_[5963] * vX_[2019] + vX_[5966] * vX_[1860];
+ vX_[8288] = 0 - vX_[3160];
+ vX_[2719] = vX_[7855] + vX_[3113] * vX_[165] + vX_[2719] * vX_[251] + vX_[5963] * vX_[2017] + vX_[5968] * vX_[1860];
+ vX_[7855] = 0 - vX_[2719];
+ vX_[3113] = (vX_[3122] * vX_[196] + vX_[8288] * vX_[258] + vX_[7855] * vX_[267]) * 1 / vX_[232];
+ vX_[3122] = vX_[5964] * vX_[1114] + vX_[5580] * vX_[245] + vX_[2652] * vX_[233] + vX_[3122] * vX_[261] + vX_[3113];
+ vX_[3136] = vX_[3535] + vX_[4666] * vX_[236] + vX_[3136] * vX_[165] * 2. + vX_[5957] * vX_[2017];
+ vX_[3161] = 0 - vX_[3161];
+ vX_[2398] = 0 - (0 - (vX_[2457] * vX_[249] + vX_[2398] * vX_[247]) + vX_[3533] * vX_[251] + vX_[7382] * vX_[165] +
+ vX_[3172] * vX_[236] + vX_[5957] * vX_[1852]);
+ vX_[3172] = 0 - vX_[3171];
+ vX_[2457] = 0 - vX_[3136];
+ vX_[5580] = (vX_[3161] * vX_[244] + vX_[2398] * vX_[206] + vX_[5580] * vX_[196] + vX_[3172] * vX_[258] +
+ vX_[2457] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[3161] = vX_[5961] * vX_[1114] + vX_[3161] * vX_[245] + vX_[5580];
+ vX_[7382] = vX_[3122] * vX_[195] + vX_[3161] * vX_[186];
+ vX_[3533] = vX_[3122] * vX_[186] + vX_[3161] * vX_[166];
+ vX_[3535] = vX_[3136] * vX_[186] + vX_[2719] * vX_[195];
+ vX_[3079] = vX_[3136] * vX_[166] + vX_[2719] * vX_[186];
+ vX_[3114] =
+ vX_[2486] + vX_[3114] * vX_[236] + vX_[4766] * vX_[251] * 2. + vX_[5929] * vX_[2017] + vX_[5968] * vX_[1852];
+ vX_[2486] = vX_[3160] - vX_[3114];
+ vX_[1120] = 0 - (vX_[1120] + vX_[9179] * vX_[236] + vX_[7823] * vX_[251] + vX_[5929] * vX_[1852]);
+ vX_[2348] =
+ 0 - (vX_[2348] + vX_[9155] * vX_[236] + vX_[4666] * vX_[251] + vX_[5929] * vX_[2019] + vX_[5966] * vX_[1852]);
+ vX_[3114] = 0 - vX_[3114];
+ vX_[2652] =
+ (vX_[1120] * vX_[206] + vX_[2652] * vX_[196] + vX_[2348] * vX_[258] + vX_[3114] * vX_[267]) * 1 / vX_[232];
+ vX_[1120] = 0 - vX_[3171] + vX_[5962] * vX_[1114] + vX_[2398] * vX_[245] + vX_[1120] * vX_[233] + vX_[2652];
+ vX_[4766] = vX_[4766] + vX_[5968] * vX_[2017];
+ vX_[4432] = vX_[4432] + vX_[5966] * vX_[2019];
+ vX_[2398] = 0 - vX_[4432];
+ vX_[4666] = vX_[4666] + vX_[5966] * vX_[2017] + vX_[5968] * vX_[2019];
+ vX_[9155] = 0 - vX_[4666];
+ vX_[5929] = (vX_[2398] * vX_[258] + vX_[9155] * vX_[267]) * 1 / vX_[232];
+ vX_[9179] = 0 - vX_[4766];
+ vX_[7823] = vX_[9179] * vX_[267] * 1 / vX_[232];
+ vX_[2652] = 0 - vX_[5961] * vX_[1772] - vX_[5962] * vX_[3822] - vX_[5964] * vX_[1086] - vX_[5965] * vX_[4089] +
+ vX_[5965] * vX_[1114] - vX_[5967] * vX_[1092] - vX_[5969] * vX_[1652] - vX_[5580] * vX_[245] -
+ vX_[2652] * vX_[233] - vX_[3113] * vX_[261] - vX_[5929] * vX_[525] - vX_[7823] * vX_[534];
+ vX_[5580] = 0 - vX_[4766] + vX_[2652];
+ vX_[7823] = vX_[5969] * vX_[1114] + vX_[2457] * vX_[245] + vX_[3114] * vX_[233] + vX_[7855] * vX_[261] +
+ vX_[9155] * vX_[525] + vX_[9179] * vX_[534] + vX_[7823];
+ vX_[5929] = vX_[5967] * vX_[1114] + vX_[3172] * vX_[245] + vX_[2348] * vX_[233] + vX_[8288] * vX_[261] +
+ vX_[2398] * vX_[525] + vX_[5929];
+ vX_[2398] = vX_[5580] * vX_[186] + vX_[7823] * vX_[195];
+ vX_[2348] = vX_[5580] * vX_[166] + vX_[7823] * vX_[186];
+ vX_[3172] = vX_[2398] * vX_[166] + vX_[2348] * vX_[186];
+ vX_[8288] = vX_[4766] + vX_[2398] * vX_[186];
+ vX_[5967] = vX_[4766] + vX_[2348] * vX_[166];
+ vX_[2652] = vX_[4432] + vX_[4766] + vX_[2652] - vX_[8288] - vX_[5967];
+ vX_[4432] = 0 - vX_[2652];
+ vX_[4766] = (vX_[3171] * vX_[186] + vX_[3160] * vX_[195]) * -1;
+ vX_[9179] = vX_[4766] + vX_[4432] * vX_[197];
+ vX_[9155] = 0 - vX_[9179];
+ vX_[4766] = 0 - (vX_[2486] * vX_[166] + vX_[1120] * vX_[186]) + vX_[4766];
+ vX_[3114] = (vX_[3171] * vX_[166] + vX_[3160] * vX_[186]) * -1;
+ vX_[2457] = vX_[3114] + vX_[2652] * vX_[202];
+ vX_[7855] = 0 - vX_[2457];
+ vX_[5969] = 0 - (vX_[4666] * vX_[166] + vX_[5929] * vX_[186]) + vX_[4666] * vX_[195] * -1 * 2.;
+ vX_[3113] = 0 - vX_[5969];
+ vX_[5965] = vX_[4666] * vX_[186] + vX_[5929] * vX_[195] + vX_[4666] * vX_[186] * -1 * 2.;
+ vX_[5964] = 0 - vX_[5965];
+ vX_[6004] = vX_[6004] * vX_[2025];
+ vX_[6003] = vX_[6003] * vX_[2025] + vX_[5997] * vX_[1219];
+ vX_[5997] = 0 - vX_[6003];
+ vX_[5998] = vX_[5998] * vX_[1219];
+ vX_[6023] = vX_[5996] * vX_[2013] + vX_[6023] * vX_[2018];
+ vX_[5996] = vX_[3121] * x_in[31];
+ vX_[5962] = vX_[3121] * x_in[32];
+ vX_[5961] = 0 - vX_[5962] - vX_[5996];
+ vX_[4934] = 0 - vX_[6013];
+ vX_[7390] = vX_[4934] * x_in[19] + vX_[3125] * x_in[20];
+ vX_[6024] = vX_[6024] * vX_[1252];
+ vX_[5588] = vX_[7390] + vX_[6024];
+ vX_[26] = 0 - vX_[5967];
+ vX_[3114] = vX_[2486] * vX_[186] + vX_[1120] * vX_[195] + vX_[3114];
+ vX_[5544] = 0 - vX_[3172];
+ vX_[2608] = 0 - vX_[5967];
+ vX_[5564] = 0 - vX_[6004] - vX_[5998];
+ vX_[7409] = 0 - vX_[6023];
+ vX_[5595] = 0 - vX_[7390] - vX_[6024];
+ jac[496] =
+ 0 -
+ (vX_[5957] * vX_[803] + vX_[5963] * vX_[1982] + vX_[5953] * vX_[2014] + vX_[5968] * vX_[1297] +
+ vX_[3526] * vX_[242] + vX_[3139] * vX_[240] + vX_[7441] * vX_[241] + vX_[7825] * vX_[211] +
+ vX_[3171] * vX_[199] + vX_[3122] * vX_[188] + vX_[3136] * vX_[265] + vX_[3160] * vX_[254] +
+ vX_[3161] * vX_[194] + vX_[2719] * vX_[266] + vX_[7382] * vX_[193] + vX_[3533] * vX_[187] +
+ vX_[3535] * vX_[192] + vX_[3079] * vX_[185] + vX_[2486] * vX_[204] + vX_[1120] * vX_[200] +
+ vX_[5580] * vX_[230] + vX_[7823] * vX_[228] + vX_[4666] * vX_[578] + vX_[4666] * vX_[255] +
+ vX_[5929] * vX_[257] + vX_[2398] * vX_[182] + vX_[2348] * vX_[227] +
+ (vX_[3172] * vX_[203] + vX_[4432] * vX_[213] + vX_[8288] * vX_[198] + vX_[9155] * vX_[209] +
+ (vX_[4766] + vX_[8288] * vX_[197]) * 4.027 + vX_[7855] * vX_[211] + vX_[3113] * vX_[193] +
+ vX_[5964] * vX_[192] + vX_[3172] * vX_[180] + vX_[8288] * vX_[229]) *
+ -0.08 +
+ vX_[3147] * vX_[3339] + vX_[3154] * vX_[806] + vX_[3140] * vX_[4087] + vX_[3135] * vX_[3807] +
+ (vX_[5966] * vX_[803] + vX_[3147] * vX_[824]) * -0.08 + vX_[8362] * vX_[235] + vX_[9078] * vX_[235] -
+ vX_[6004] * vX_[167] + vX_[6005] * 0.35 + vX_[22] * vX_[1326] + vX_[8251] * vX_[1324] +
+ vX_[3144] * vX_[1098] + vX_[5625] * vX_[1095] + vX_[2107] * vX_[1270] + vX_[2053] * vX_[235] +
+ vX_[5997] * vX_[169] + vX_[2680] * vX_[1335] + vX_[9212] * vX_[1331] + vX_[3131] * vX_[1107] +
+ vX_[2016] * vX_[1096] + vX_[3522] * vX_[1272] + vX_[7824] * vX_[163] + vX_[2686] * vX_[235] -
+ vX_[5998] * vX_[167] + vX_[6000] * vX_[1137] + vX_[4250] * vX_[1135] + vX_[5999] * vX_[1285] +
+ vX_[1463] * vX_[1283] + vX_[6023] * vX_[167] * -0.33 + vX_[3129] * vX_[1187] + vX_[3127] * vX_[1185] +
+ vX_[1947] * vX_[1205] + vX_[3157] * vX_[1221] + vX_[3148] * vX_[1166] + vX_[8660] * vX_[1218] +
+ vX_[1143] * vX_[1160] + vX_[8285] * vX_[1172] + vX_[2721] * vX_[1162] + vX_[3156] * vX_[1170] +
+ vX_[3153] * vX_[1168] + (0 - vX_[5996]) * 0.35 + vX_[5961] * vX_[169] * 0.33 + vX_[2689] * vX_[1256] +
+ vX_[2291] * vX_[1254] + vX_[2726] * vX_[1249] + vX_[2675] * vX_[1203] + vX_[5588] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[5957] * vX_[1982] + vX_[5953] * vX_[1297] + vX_[3526] * vX_[240] + vX_[7441] * vX_[211] +
+ vX_[7825] * vX_[239] + vX_[3171] * vX_[254] + vX_[3136] * vX_[266] + vX_[3161] * vX_[188] +
+ vX_[7382] * vX_[192] + vX_[3533] * vX_[185] + vX_[2486] * vX_[200] + vX_[5580] * vX_[228] +
+ vX_[4666] * vX_[257] + vX_[2398] * vX_[227] + vX_[2348] * vX_[224] + vX_[3154] * vX_[3339] +
+ vX_[3135] * vX_[4087] - (vX_[5963] * vX_[803] + vX_[3147] * vX_[806]) +
+ (vX_[5966] * vX_[1982] +
+ (vX_[2652] * vX_[212] + vX_[26] * vX_[203] + vX_[9179] * vX_[211] + vX_[2457] * vX_[210] +
+ (0 - (vX_[3114] + vX_[3172] * vX_[197] + vX_[26] * vX_[202])) * 4.027 + vX_[5969] * vX_[187] +
+ vX_[5965] * vX_[185] + vX_[5544] * vX_[189] + vX_[2608] * vX_[223]) *
+ -1 +
+ vX_[3154] * vX_[824]) *
+ -0.08 -
+ (vX_[5968] * vX_[2014] + vX_[3139] * vX_[242] + vX_[3122] * vX_[194] + vX_[3160] * vX_[199] +
+ vX_[2719] * vX_[265] + vX_[3535] * vX_[193] + vX_[3079] * vX_[187] + vX_[1120] * vX_[204] +
+ vX_[7823] * vX_[230] + vX_[4666] * vX_[256] + vX_[5929] * vX_[255] + vX_[3140] * vX_[3807]) +
+ vX_[7943] * vX_[163] + vX_[3962] * vX_[163] + vX_[6020] * vX_[1320] + vX_[5988] * vX_[1091] +
+ vX_[22] * vX_[1327] + vX_[9174] * vX_[1323] + vX_[3144] * vX_[1099] + vX_[6491] * vX_[1096] +
+ vX_[3928] * vX_[1272] + vX_[3941] * vX_[163] + vX_[6003] * vX_[167] + vX_[2680] * vX_[1334] +
+ vX_[9212] * vX_[1332] + vX_[8678] * vX_[1106] + vX_[2016] * vX_[1104] + vX_[5972] * vX_[1276] +
+ vX_[5985] * vX_[163] + vX_[5986] * vX_[235] + vX_[5564] * vX_[169] + vX_[3130] * vX_[1133] +
+ vX_[2687] * vX_[1281] + (0 - vX_[6023]) * 0.35 + vX_[7409] * vX_[169] * 0.33 + vX_[3126] * vX_[1183] +
+ vX_[2319] * vX_[1201] + vX_[5991] * vX_[1223] + vX_[4530] * vX_[1213] + vX_[3142] * vX_[1168] +
+ vX_[2747] * vX_[1216] + vX_[9140] * vX_[1174] + vX_[1620] * vX_[1164] + vX_[8291] * vX_[1160] +
+ vX_[6202] * vX_[1166] + vX_[5962] * vX_[167] * 0.33 + vX_[5996] * vX_[167] * 0.33 + vX_[2284] * vX_[1178] +
+ vX_[5346] * vX_[1247] + (0 - vX_[7390] - vX_[6024]) * 0.35 + vX_[5595] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[8429] = vX_[6302] + vX_[8429] * vX_[235] + vX_[2286] * vX_[249];
+ vX_[9196] = vX_[6302] + vX_[9211] * vX_[249] + vX_[9196] * vX_[247];
+ vX_[1358] = vX_[1310] + vX_[5869] + vX_[6302] - vX_[8429] - vX_[9196] + vX_[5993] * vX_[236] + vX_[1358] * vX_[165];
+ vX_[9196] = vX_[9196] + vX_[7582] * vX_[165] + vX_[2712] * vX_[251] + vX_[6392] * vX_[1860];
+ vX_[7582] = vX_[1358] - vX_[9196];
+ vX_[1951] = vX_[459] * vX_[235] + vX_[1951] * vX_[249] + vX_[5973] * vX_[251] + vX_[9256] * vX_[236] +
+ vX_[2730] * vX_[165] + vX_[6386] * vX_[1860];
+ vX_[2730] = vX_[7582] * vX_[186] + vX_[1951] * vX_[195];
+ vX_[9256] = vX_[7582] * vX_[166] + vX_[1951] * vX_[186];
+ vX_[1386] = vX_[6009] + vX_[1386] * vX_[165] + vX_[4664] * vX_[236] * 2. + vX_[6386] * vX_[2019];
+ vX_[6009] = 0 - vX_[1951];
+ vX_[2344] = 0 - (vX_[9211] * vX_[235] + vX_[2286] * vX_[247] + vX_[463] * vX_[249] + vX_[6017] * vX_[165] +
+ vX_[2344] * vX_[236] + vX_[9116] * vX_[251] + vX_[6358] * vX_[1860] + vX_[6392] * vX_[1852]);
+ vX_[463] = 0 - vX_[9196];
+ vX_[9217] =
+ vX_[2744] + vX_[9217] * vX_[165] + vX_[2729] * vX_[251] * 2. + vX_[6392] * vX_[2019] + vX_[6395] * vX_[1860];
+ vX_[2729] = 0 - vX_[9217];
+ vX_[2715] = vX_[9104] + vX_[2735] * vX_[165] + vX_[2715] * vX_[251] + vX_[6392] * vX_[2017] + vX_[6397] * vX_[1860];
+ vX_[9104] = 0 - vX_[2715];
+ vX_[2735] = (vX_[463] * vX_[196] + vX_[2729] * vX_[258] + vX_[9104] * vX_[267]) * 1 / vX_[232];
+ vX_[463] = vX_[6393] * vX_[1114] + vX_[6009] * vX_[245] + vX_[2344] * vX_[233] + vX_[463] * vX_[261] + vX_[2735];
+ vX_[1776] = vX_[5336] + vX_[4774] * vX_[236] + vX_[1776] * vX_[165] * 2. + vX_[6386] * vX_[2017];
+ vX_[1358] = 0 - vX_[1358];
+ vX_[2280] = 0 - (0 - (vX_[459] * vX_[249] + vX_[2280] * vX_[247]) + vX_[4938] * vX_[251] + vX_[9117] * vX_[165] +
+ vX_[2252] * vX_[236] + vX_[6386] * vX_[1852]);
+ vX_[2252] = 0 - vX_[1386];
+ vX_[459] = 0 - vX_[1776];
+ vX_[6009] = (vX_[1358] * vX_[244] + vX_[2280] * vX_[206] + vX_[6009] * vX_[196] + vX_[2252] * vX_[258] +
+ vX_[459] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[1358] = vX_[6390] * vX_[1114] + vX_[1358] * vX_[245] + vX_[6009];
+ vX_[9117] = vX_[463] * vX_[195] + vX_[1358] * vX_[186];
+ vX_[4938] = vX_[463] * vX_[186] + vX_[1358] * vX_[166];
+ vX_[5336] = vX_[1776] * vX_[186] + vX_[2715] * vX_[195];
+ vX_[2744] = vX_[1776] * vX_[166] + vX_[2715] * vX_[186];
+ vX_[2717] =
+ vX_[42] + vX_[2717] * vX_[236] + vX_[8322] * vX_[251] * 2. + vX_[6358] * vX_[2017] + vX_[6397] * vX_[1852];
+ vX_[42] = vX_[9217] - vX_[2717];
+ vX_[8429] = 0 - (vX_[8429] + vX_[2333] * vX_[236] + vX_[2718] * vX_[251] + vX_[6358] * vX_[1852]);
+ vX_[2708] =
+ 0 - (vX_[2708] + vX_[8676] * vX_[236] + vX_[4774] * vX_[251] + vX_[6358] * vX_[2019] + vX_[6395] * vX_[1852]);
+ vX_[2717] = 0 - vX_[2717];
+ vX_[2344] =
+ (vX_[8429] * vX_[206] + vX_[2344] * vX_[196] + vX_[2708] * vX_[258] + vX_[2717] * vX_[267]) * 1 / vX_[232];
+ vX_[8429] = 0 - vX_[1386] + vX_[6391] * vX_[1114] + vX_[2280] * vX_[245] + vX_[8429] * vX_[233] + vX_[2344];
+ vX_[8322] = vX_[8322] + vX_[6397] * vX_[2017];
+ vX_[4664] = vX_[4664] + vX_[6395] * vX_[2019];
+ vX_[2280] = 0 - vX_[4664];
+ vX_[4774] = vX_[4774] + vX_[6395] * vX_[2017] + vX_[6397] * vX_[2019];
+ vX_[8676] = 0 - vX_[4774];
+ vX_[6358] = (vX_[2280] * vX_[258] + vX_[8676] * vX_[267]) * 1 / vX_[232];
+ vX_[2333] = 0 - vX_[8322];
+ vX_[2718] = vX_[2333] * vX_[267] * 1 / vX_[232];
+ vX_[2344] = 0 - vX_[6390] * vX_[1772] - vX_[6391] * vX_[3822] - vX_[6393] * vX_[1086] - vX_[6394] * vX_[4089] +
+ vX_[6394] * vX_[1114] - vX_[6396] * vX_[1092] - vX_[6398] * vX_[1652] - vX_[6009] * vX_[245] -
+ vX_[2344] * vX_[233] - vX_[2735] * vX_[261] - vX_[6358] * vX_[525] - vX_[2718] * vX_[534];
+ vX_[6009] = 0 - vX_[8322] + vX_[2344];
+ vX_[2718] = vX_[6398] * vX_[1114] + vX_[459] * vX_[245] + vX_[2717] * vX_[233] + vX_[9104] * vX_[261] +
+ vX_[8676] * vX_[525] + vX_[2333] * vX_[534] + vX_[2718];
+ vX_[6358] = vX_[6396] * vX_[1114] + vX_[2252] * vX_[245] + vX_[2708] * vX_[233] + vX_[2729] * vX_[261] +
+ vX_[2280] * vX_[525] + vX_[6358];
+ vX_[2280] = vX_[6009] * vX_[186] + vX_[2718] * vX_[195];
+ vX_[2708] = vX_[6009] * vX_[166] + vX_[2718] * vX_[186];
+ vX_[2252] = vX_[2280] * vX_[166] + vX_[2708] * vX_[186];
+ vX_[2729] = vX_[8322] + vX_[2280] * vX_[186];
+ vX_[6396] = vX_[8322] + vX_[2708] * vX_[166];
+ vX_[2344] = vX_[4664] + vX_[8322] + vX_[2344] - vX_[2729] - vX_[6396];
+ vX_[4664] = 0 - vX_[2344];
+ vX_[8322] = (vX_[1386] * vX_[186] + vX_[9217] * vX_[195]) * -1;
+ vX_[2333] = vX_[8322] + vX_[4664] * vX_[197];
+ vX_[8676] = 0 - vX_[2333];
+ vX_[8322] = 0 - (vX_[42] * vX_[166] + vX_[8429] * vX_[186]) + vX_[8322];
+ vX_[2717] = (vX_[1386] * vX_[166] + vX_[9217] * vX_[186]) * -1;
+ vX_[459] = vX_[2717] + vX_[2344] * vX_[202];
+ vX_[9104] = 0 - vX_[459];
+ vX_[6398] = 0 - (vX_[4774] * vX_[166] + vX_[6358] * vX_[186]) + vX_[4774] * vX_[195] * -1 * 2.;
+ vX_[2735] = 0 - vX_[6398];
+ vX_[6394] = vX_[4774] * vX_[186] + vX_[6358] * vX_[195] + vX_[4774] * vX_[186] * -1 * 2.;
+ vX_[6393] = 0 - vX_[6394];
+ vX_[6433] = vX_[6433] * vX_[2025];
+ vX_[6432] = vX_[6432] * vX_[2025] + vX_[6426] * vX_[1219];
+ vX_[6426] = 0 - vX_[6432];
+ vX_[6427] = vX_[6427] * vX_[1219];
+ vX_[6452] = vX_[6425] * vX_[2013] + vX_[6452] * vX_[2018];
+ vX_[6425] = vX_[8255] * x_in[31];
+ vX_[6391] = vX_[8255] * x_in[32];
+ vX_[6390] = 0 - vX_[6391] - vX_[6425];
+ vX_[2286] = 0 - vX_[6442];
+ vX_[9211] = vX_[2286] * x_in[19] + vX_[8688] * x_in[20];
+ vX_[6453] = vX_[6453] * vX_[1252];
+ vX_[6017] = vX_[9211] + vX_[6453];
+ vX_[9116] = 0 - vX_[6396];
+ vX_[2717] = vX_[42] * vX_[186] + vX_[8429] * vX_[195] + vX_[2717];
+ vX_[5973] = 0 - vX_[2252];
+ vX_[2712] = 0 - vX_[6396];
+ vX_[5993] = 0 - vX_[6433] - vX_[6427];
+ vX_[26] = 0 - vX_[6452];
+ vX_[6024] = 0 - vX_[9211] - vX_[6453];
+ jac[497] =
+ 0 -
+ (vX_[6386] * vX_[803] + vX_[6392] * vX_[1982] + vX_[6382] * vX_[2014] + vX_[6397] * vX_[1297] +
+ vX_[7582] * vX_[242] + vX_[1951] * vX_[240] + vX_[2730] * vX_[241] + vX_[9256] * vX_[211] +
+ vX_[1386] * vX_[199] + vX_[463] * vX_[188] + vX_[1776] * vX_[265] + vX_[9217] * vX_[254] +
+ vX_[1358] * vX_[194] + vX_[2715] * vX_[266] + vX_[9117] * vX_[193] + vX_[4938] * vX_[187] +
+ vX_[5336] * vX_[192] + vX_[2744] * vX_[185] + vX_[42] * vX_[204] + vX_[8429] * vX_[200] +
+ vX_[6009] * vX_[230] + vX_[2718] * vX_[228] + vX_[4774] * vX_[578] + vX_[4774] * vX_[255] +
+ vX_[6358] * vX_[257] + vX_[2280] * vX_[182] + vX_[2708] * vX_[227] +
+ (vX_[2252] * vX_[203] + vX_[4664] * vX_[213] + vX_[2729] * vX_[198] + vX_[8676] * vX_[209] +
+ (vX_[8322] + vX_[2729] * vX_[197]) * 4.027 + vX_[9104] * vX_[211] + vX_[2735] * vX_[193] +
+ vX_[6393] * vX_[192] + vX_[2252] * vX_[180] + vX_[2729] * vX_[229]) *
+ -0.08 +
+ vX_[2703] * vX_[3339] + vX_[2697] * vX_[806] + vX_[9076] * vX_[4087] + vX_[9216] * vX_[3807] +
+ (vX_[6395] * vX_[803] + vX_[2703] * vX_[824]) * -0.08 + vX_[2309] * vX_[235] + vX_[2470] * vX_[235] -
+ vX_[6433] * vX_[167] + vX_[6434] * 0.35 + vX_[407] * vX_[1326] + vX_[423] * vX_[1324] +
+ vX_[429] * vX_[1098] + vX_[4145] * vX_[1095] + vX_[2296] * vX_[1270] + vX_[2312] * vX_[235] +
+ vX_[6426] * vX_[169] + vX_[8693] * vX_[1335] + vX_[8719] * vX_[1331] + vX_[3134] * vX_[1107] +
+ vX_[5254] * vX_[1096] + vX_[7383] * vX_[1272] + vX_[7809] * vX_[163] + vX_[2335] * vX_[235] -
+ vX_[6427] * vX_[167] + vX_[6429] * vX_[1137] + vX_[2700] * vX_[1135] + vX_[6428] * vX_[1285] +
+ vX_[2308] * vX_[1283] + vX_[6452] * vX_[167] * -0.33 + vX_[8287] * vX_[1187] + vX_[8791] * vX_[1185] +
+ vX_[418] * vX_[1205] + vX_[9074] * vX_[1221] + vX_[2705] * vX_[1166] + vX_[2329] * vX_[1218] +
+ vX_[393] * vX_[1160] + vX_[9248] * vX_[1172] + vX_[2305] * vX_[1162] + vX_[2346] * vX_[1170] +
+ vX_[2698] * vX_[1168] + (0 - vX_[6425]) * 0.35 + vX_[6390] * vX_[169] * 0.33 + vX_[8717] * vX_[1256] +
+ vX_[8706] * vX_[1254] + vX_[2298] * vX_[1249] + vX_[2293] * vX_[1203] + vX_[6017] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[6386] * vX_[1982] + vX_[6382] * vX_[1297] + vX_[7582] * vX_[240] + vX_[2730] * vX_[211] +
+ vX_[9256] * vX_[239] + vX_[1386] * vX_[254] + vX_[1776] * vX_[266] + vX_[1358] * vX_[188] +
+ vX_[9117] * vX_[192] + vX_[4938] * vX_[185] + vX_[42] * vX_[200] + vX_[6009] * vX_[228] +
+ vX_[4774] * vX_[257] + vX_[2280] * vX_[227] + vX_[2708] * vX_[224] + vX_[2697] * vX_[3339] +
+ vX_[9216] * vX_[4087] - (vX_[6392] * vX_[803] + vX_[2703] * vX_[806]) +
+ (vX_[6395] * vX_[1982] +
+ (vX_[2344] * vX_[212] + vX_[9116] * vX_[203] + vX_[2333] * vX_[211] + vX_[459] * vX_[210] +
+ (0 - (vX_[2717] + vX_[2252] * vX_[197] + vX_[9116] * vX_[202])) * 4.027 + vX_[6398] * vX_[187] +
+ vX_[6394] * vX_[185] + vX_[5973] * vX_[189] + vX_[2712] * vX_[223]) *
+ -1 +
+ vX_[2697] * vX_[824]) *
+ -0.08 -
+ (vX_[6397] * vX_[2014] + vX_[1951] * vX_[242] + vX_[463] * vX_[194] + vX_[9217] * vX_[199] +
+ vX_[2715] * vX_[265] + vX_[5336] * vX_[193] + vX_[2744] * vX_[187] + vX_[8429] * vX_[204] +
+ vX_[2718] * vX_[230] + vX_[4774] * vX_[256] + vX_[6358] * vX_[255] + vX_[9076] * vX_[3807]) +
+ vX_[8431] * vX_[163] + vX_[6205] * vX_[163] + vX_[6449] * vX_[1320] + vX_[6417] * vX_[1091] +
+ vX_[407] * vX_[1327] + vX_[410] * vX_[1323] + vX_[429] * vX_[1099] + vX_[5416] * vX_[1096] +
+ vX_[3158] * vX_[1272] + vX_[9143] * vX_[163] + vX_[6432] * vX_[167] + vX_[8693] * vX_[1334] +
+ vX_[8719] * vX_[1332] + vX_[1954] * vX_[1106] + vX_[5254] * vX_[1104] + vX_[6401] * vX_[1276] +
+ vX_[6414] * vX_[163] + vX_[6415] * vX_[235] + vX_[5993] * vX_[169] + vX_[2327] * vX_[1133] +
+ vX_[2317] * vX_[1281] + (0 - vX_[6452]) * 0.35 + vX_[26] * vX_[169] * 0.33 + vX_[2331] * vX_[1183] +
+ vX_[2315] * vX_[1201] + vX_[6420] * vX_[1223] + vX_[8279] * vX_[1213] + vX_[2347] * vX_[1168] +
+ vX_[2313] * vX_[1216] + vX_[2341] * vX_[1174] + vX_[453] * vX_[1164] + vX_[1373] * vX_[1160] +
+ vX_[6631] * vX_[1166] + vX_[6391] * vX_[167] * 0.33 + vX_[6425] * vX_[167] * 0.33 + vX_[2345] * vX_[1178] +
+ vX_[2302] * vX_[1247] + (0 - vX_[9211] - vX_[6453]) * 0.35 + vX_[6024] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[1372] = vX_[6721] + vX_[1372] * vX_[235] + vX_[1603] * vX_[249];
+ vX_[1429] = vX_[6721] + vX_[4121] * vX_[249] + vX_[1429] * vX_[247];
+ vX_[1640] = vX_[7806] + vX_[6298] + vX_[6721] - vX_[1372] - vX_[1429] + vX_[6422] * vX_[236] + vX_[1640] * vX_[165];
+ vX_[1429] = vX_[1429] + vX_[2301] * vX_[165] + vX_[9067] * vX_[251] + vX_[6811] * vX_[1860];
+ vX_[2301] = vX_[1640] - vX_[1429];
+ vX_[1873] = vX_[1405] * vX_[235] + vX_[1873] * vX_[249] + vX_[6402] * vX_[251] + vX_[1357] * vX_[236] +
+ vX_[4482] * vX_[165] + vX_[6805] * vX_[1860];
+ vX_[4482] = vX_[2301] * vX_[186] + vX_[1873] * vX_[195];
+ vX_[1357] = vX_[2301] * vX_[166] + vX_[1873] * vX_[186];
+ vX_[1390] = vX_[6438] + vX_[1390] * vX_[165] + vX_[4772] * vX_[236] * 2. + vX_[6805] * vX_[2019];
+ vX_[6438] = vX_[1053] * vX_[4518] + vX_[164] * vX_[4368] + vX_[1052] * vX_[5604] + vX_[1051] * vX_[4013] +
+ vX_[1050] * vX_[4885] + vX_[1860];
+ vX_[6402] = 0 - vX_[1873];
+ vX_[4471] = 0 - (vX_[4121] * vX_[235] + vX_[1603] * vX_[247] + vX_[1396] * vX_[249] + vX_[6446] * vX_[165] +
+ vX_[4471] * vX_[236] + vX_[9054] * vX_[251] + vX_[6777] * vX_[1860] + vX_[6811] * vX_[1852]);
+ vX_[1396] = 0 - vX_[1429];
+ vX_[1397] =
+ vX_[2497] + vX_[1397] * vX_[165] + vX_[1648] * vX_[251] * 2. + vX_[6811] * vX_[2019] + vX_[6814] * vX_[1860];
+ vX_[1648] = 0 - vX_[1397];
+ vX_[1649] = vX_[4323] + vX_[9073] * vX_[165] + vX_[1649] * vX_[251] + vX_[6811] * vX_[2017] + vX_[6816] * vX_[1860];
+ vX_[4323] = 0 - vX_[1649];
+ vX_[9073] = (vX_[1396] * vX_[196] + vX_[1648] * vX_[258] + vX_[4323] * vX_[267]) * 1 / vX_[232];
+ vX_[1396] = vX_[6693] * vX_[6438] + vX_[6812] * vX_[1114] + vX_[6402] * vX_[245] + vX_[4471] * vX_[233] +
+ vX_[1396] * vX_[261] + vX_[9073];
+ vX_[2054] = vX_[2300] + vX_[8997] * vX_[236] + vX_[2054] * vX_[165] * 2. + vX_[6805] * vX_[2017];
+ vX_[2300] = 0.207 * vX_[5604] + -1 * vX_[1647];
+ vX_[1640] = 0 - vX_[1640];
+ vX_[1844] = 0 - (0 - (vX_[1405] * vX_[249] + vX_[1844] * vX_[247]) + vX_[1366] * vX_[251] + vX_[1598] * vX_[165] +
+ vX_[1632] * vX_[236] + vX_[6805] * vX_[1852]);
+ vX_[1632] = 0 - vX_[1390];
+ vX_[1405] = 0 - vX_[2054];
+ vX_[6402] = (vX_[1640] * vX_[244] + vX_[1844] * vX_[206] + vX_[6402] * vX_[196] + vX_[1632] * vX_[258] +
+ vX_[1405] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[1640] = vX_[6703] * vX_[2300] + vX_[6809] * vX_[1114] + vX_[1640] * vX_[245] + vX_[6402];
+ vX_[6703] = vX_[1396] * vX_[195] + vX_[1640] * vX_[186];
+ vX_[1598] = vX_[1396] * vX_[186] + vX_[1640] * vX_[166];
+ vX_[1366] = vX_[2054] * vX_[186] + vX_[1649] * vX_[195];
+ vX_[6693] = vX_[2054] * vX_[166] + vX_[1649] * vX_[186];
+ vX_[9353] =
+ vX_[1902] + vX_[9353] * vX_[236] + vX_[3534] * vX_[251] * 2. + vX_[6777] * vX_[2017] + vX_[6816] * vX_[1852];
+ vX_[1902] = vX_[1397] - vX_[9353];
+ vX_[2497] = vX_[248] * vX_[4518] + vX_[1038] * vX_[4368] + vX_[250] * vX_[5604] + vX_[1030] * vX_[4013] +
+ vX_[235] * vX_[4885] + vX_[1852];
+ vX_[1372] = 0 - (vX_[1372] + vX_[6648] * vX_[236] + vX_[1364] * vX_[251] + vX_[6777] * vX_[1852]);
+ vX_[9327] =
+ 0 - (vX_[9327] + vX_[1944] * vX_[236] + vX_[8997] * vX_[251] + vX_[6777] * vX_[2019] + vX_[6814] * vX_[1852]);
+ vX_[9353] = 0 - vX_[9353];
+ vX_[4471] =
+ (vX_[1372] * vX_[206] + vX_[4471] * vX_[196] + vX_[9327] * vX_[258] + vX_[9353] * vX_[267]) * 1 / vX_[232];
+ vX_[1372] = 0 - vX_[1390] + vX_[6691] * vX_[2497] + vX_[6810] * vX_[1114] + vX_[1844] * vX_[245] +
+ vX_[1372] * vX_[233] + vX_[4471];
+ vX_[3534] = vX_[3534] + vX_[6816] * vX_[2017];
+ vX_[1844] = -1 * vX_[4368];
+ vX_[6691] = vX_[235] * vX_[5604] + vX_[249] * vX_[4518] + vX_[2019];
+ vX_[1944] = vX_[249] * vX_[5604] + vX_[247] * vX_[4518] + vX_[2017];
+ vX_[6777] = (vX_[1114] - vX_[232] * vX_[1844] - vX_[258] * vX_[6691] - vX_[267] * vX_[1944] - vX_[244] * vX_[2300] -
+ vX_[206] * vX_[2497] - vX_[196] * vX_[6438]) /
+ vX_[232];
+ vX_[4772] = vX_[4772] + vX_[6814] * vX_[2019];
+ vX_[6648] = 0 - vX_[4772];
+ vX_[8997] = vX_[8997] + vX_[6814] * vX_[2017] + vX_[6816] * vX_[2019];
+ vX_[1364] = 0 - vX_[8997];
+ vX_[1603] = (vX_[6648] * vX_[258] + vX_[1364] * vX_[267]) * 1 / vX_[232];
+ vX_[4121] = 0 - vX_[3534];
+ vX_[6446] = vX_[4121] * vX_[267] * 1 / vX_[232];
+ vX_[4471] = 0 - vX_[6690] * vX_[6777] + vX_[6695] * vX_[1844] - vX_[6809] * vX_[1772] - vX_[6810] * vX_[3822] -
+ vX_[6812] * vX_[1086] - vX_[6813] * vX_[4089] + vX_[6813] * vX_[1114] - vX_[6815] * vX_[1092] -
+ vX_[6817] * vX_[1652] - vX_[6402] * vX_[245] - vX_[4471] * vX_[233] - vX_[9073] * vX_[261] -
+ vX_[1603] * vX_[525] - vX_[6446] * vX_[534];
+ vX_[6402] = 0 - vX_[3534] + vX_[4471];
+ vX_[6446] = vX_[6699] * vX_[1944] + vX_[6817] * vX_[1114] + vX_[1405] * vX_[245] + vX_[9353] * vX_[233] +
+ vX_[4323] * vX_[261] + vX_[1364] * vX_[525] + vX_[4121] * vX_[534] + vX_[6446];
+ vX_[1603] = vX_[6697] * vX_[6691] + vX_[6815] * vX_[1114] + vX_[1632] * vX_[245] + vX_[9327] * vX_[233] +
+ vX_[1648] * vX_[261] + vX_[6648] * vX_[525] + vX_[1603];
+ vX_[6648] = vX_[6402] * vX_[186] + vX_[6446] * vX_[195];
+ vX_[9327] = vX_[6402] * vX_[166] + vX_[6446] * vX_[186];
+ vX_[1632] = vX_[6648] * vX_[166] + vX_[9327] * vX_[186];
+ vX_[1648] = vX_[3534] + vX_[6648] * vX_[186];
+ vX_[6815] = vX_[3534] + vX_[9327] * vX_[166];
+ vX_[4471] = vX_[4772] + vX_[3534] + vX_[4471] - vX_[1648] - vX_[6815];
+ vX_[4772] = 0 - vX_[4471];
+ vX_[3534] = (vX_[1390] * vX_[186] + vX_[1397] * vX_[195]) * -1;
+ vX_[6697] = vX_[3534] + vX_[4772] * vX_[197];
+ vX_[4121] = 0 - vX_[6697];
+ vX_[3534] = 0 - (vX_[1902] * vX_[166] + vX_[1372] * vX_[186]) + vX_[3534];
+ vX_[1364] = (vX_[1390] * vX_[166] + vX_[1397] * vX_[186]) * -1;
+ vX_[9353] = vX_[1364] + vX_[4471] * vX_[202];
+ vX_[1405] = 0 - vX_[9353];
+ vX_[4323] = 0 - (vX_[8997] * vX_[166] + vX_[1603] * vX_[186]) + vX_[8997] * vX_[195] * -1 * 2.;
+ vX_[6817] = 0 - vX_[4323];
+ vX_[6699] = vX_[8997] * vX_[186] + vX_[1603] * vX_[195] + vX_[8997] * vX_[186] * -1 * 2.;
+ vX_[9073] = 0 - vX_[6699];
+ vX_[6852] = vX_[6852] * vX_[2025];
+ vX_[6851] = vX_[6851] * vX_[2025] + vX_[6845] * vX_[1219];
+ vX_[6845] = 0 - vX_[6851];
+ vX_[6846] = vX_[6846] * vX_[1219];
+ vX_[6871] = vX_[6844] * vX_[2013] + vX_[6871] * vX_[2018];
+ vX_[6844] = vX_[1381] * x_in[31];
+ vX_[6813] = vX_[1381] * x_in[32];
+ vX_[6812] = 0 - vX_[6813] - vX_[6844];
+ vX_[6810] = 0 - vX_[6861];
+ vX_[6809] = vX_[6810] * x_in[19] + vX_[1371] * x_in[20];
+ vX_[6872] = vX_[6872] * vX_[1252];
+ vX_[6695] = vX_[6809] + vX_[6872];
+ vX_[6690] = 0 - vX_[6815];
+ vX_[1364] = vX_[1902] * vX_[186] + vX_[1372] * vX_[195] + vX_[1364];
+ vX_[9054] = 0 - vX_[1632];
+ vX_[9067] = 0 - vX_[6815];
+ vX_[6422] = 0 - vX_[6852] - vX_[6846];
+ vX_[9116] = 0 - vX_[6871];
+ vX_[6453] = 0 - vX_[6809] - vX_[6872];
+ jac[498] =
+ 0 -
+ (vX_[6805] * vX_[803] + vX_[6811] * vX_[1982] + vX_[6801] * vX_[2014] + vX_[6816] * vX_[1297] +
+ vX_[2301] * vX_[242] + vX_[1873] * vX_[240] + vX_[4482] * vX_[241] + vX_[1357] * vX_[211] +
+ vX_[1390] * vX_[199] + vX_[1396] * vX_[188] + vX_[2054] * vX_[265] + vX_[1397] * vX_[254] +
+ vX_[1640] * vX_[194] + vX_[1649] * vX_[266] + vX_[6703] * vX_[193] + vX_[1598] * vX_[187] +
+ vX_[1366] * vX_[192] + vX_[6693] * vX_[185] + vX_[1902] * vX_[204] + vX_[1372] * vX_[200] +
+ vX_[6402] * vX_[230] + vX_[6446] * vX_[228] + vX_[8997] * vX_[578] + vX_[8997] * vX_[255] +
+ vX_[1603] * vX_[257] + vX_[6648] * vX_[182] + vX_[9327] * vX_[227] +
+ (vX_[1632] * vX_[203] + vX_[4772] * vX_[213] + vX_[1648] * vX_[198] + vX_[4121] * vX_[209] +
+ (vX_[3534] + vX_[1648] * vX_[197]) * 4.027 + vX_[1405] * vX_[211] + vX_[6817] * vX_[193] +
+ vX_[9073] * vX_[192] + vX_[1632] * vX_[180] + vX_[1648] * vX_[229]) *
+ -0.08 +
+ vX_[1577] * vX_[3339] + vX_[1722] * vX_[806] + vX_[1626] * vX_[4087] + vX_[4134] * vX_[3807] +
+ (vX_[6814] * vX_[803] + vX_[1577] * vX_[824]) * -0.08 + vX_[5399] * vX_[235] + vX_[1432] * vX_[235] -
+ vX_[6852] * vX_[167] + vX_[6853] * 0.35 + vX_[4520] * vX_[1326] + vX_[4512] * vX_[1324] +
+ vX_[1587] * vX_[1098] + vX_[4773] * vX_[1095] + vX_[1436] * vX_[1270] + vX_[7426] * vX_[235] +
+ vX_[6845] * vX_[169] + vX_[4495] * vX_[1335] + vX_[4509] * vX_[1331] + vX_[9239] * vX_[1107] +
+ vX_[2695] * vX_[1096] + vX_[1370] * vX_[1272] + vX_[8432] * vX_[163] + vX_[4505] * vX_[235] -
+ vX_[6846] * vX_[167] + vX_[6848] * vX_[1137] + vX_[1759] * vX_[1135] + vX_[6847] * vX_[1285] +
+ vX_[9033] * vX_[1283] + vX_[6871] * vX_[167] * -0.33 + vX_[7407] * vX_[1187] + vX_[841] * vX_[1185] +
+ vX_[1239] * vX_[1205] + vX_[1415] * vX_[1221] + vX_[1576] * vX_[1166] + vX_[1511] * vX_[1218] +
+ vX_[2507] * vX_[1160] + vX_[9022] * vX_[1172] + vX_[1488] * vX_[1162] + vX_[1628] * vX_[1170] +
+ vX_[1701] * vX_[1168] + (0 - vX_[6844]) * 0.35 + vX_[6812] * vX_[169] * 0.33 + vX_[2423] * vX_[1256] +
+ vX_[4480] * vX_[1254] + vX_[1241] * vX_[1249] + vX_[2042] * vX_[1203] + vX_[6695] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[6805] * vX_[1982] + vX_[6801] * vX_[1297] + vX_[2301] * vX_[240] + vX_[4482] * vX_[211] +
+ vX_[1357] * vX_[239] + vX_[1390] * vX_[254] + vX_[2054] * vX_[266] + vX_[1640] * vX_[188] +
+ vX_[6703] * vX_[192] + vX_[1598] * vX_[185] + vX_[1902] * vX_[200] + vX_[6402] * vX_[228] +
+ vX_[8997] * vX_[257] + vX_[6648] * vX_[227] + vX_[9327] * vX_[224] + vX_[1722] * vX_[3339] +
+ vX_[4134] * vX_[4087] - (vX_[6811] * vX_[803] + vX_[1577] * vX_[806]) +
+ (vX_[6814] * vX_[1982] +
+ (vX_[4471] * vX_[212] + vX_[6690] * vX_[203] + vX_[6697] * vX_[211] + vX_[9353] * vX_[210] +
+ (0 - (vX_[1364] + vX_[1632] * vX_[197] + vX_[6690] * vX_[202])) * 4.027 + vX_[4323] * vX_[187] +
+ vX_[6699] * vX_[185] + vX_[9054] * vX_[189] + vX_[9067] * vX_[223]) *
+ -1 +
+ vX_[1722] * vX_[824]) *
+ -0.08 -
+ (vX_[6816] * vX_[2014] + vX_[1873] * vX_[242] + vX_[1396] * vX_[194] + vX_[1397] * vX_[199] +
+ vX_[1649] * vX_[265] + vX_[1366] * vX_[193] + vX_[6693] * vX_[187] + vX_[1372] * vX_[204] +
+ vX_[6446] * vX_[230] + vX_[8997] * vX_[256] + vX_[1603] * vX_[255] + vX_[1626] * vX_[3807]) +
+ vX_[1438] * vX_[163] + vX_[2709] * vX_[163] + vX_[6868] * vX_[1320] + vX_[6836] * vX_[1091] +
+ vX_[4520] * vX_[1327] + vX_[4522] * vX_[1323] + vX_[1587] * vX_[1099] + vX_[4682] * vX_[1096] +
+ vX_[9105] * vX_[1272] + vX_[919] * vX_[163] + vX_[6851] * vX_[167] + vX_[4495] * vX_[1334] +
+ vX_[4509] * vX_[1332] + vX_[1581] * vX_[1106] + vX_[2695] * vX_[1104] + vX_[6820] * vX_[1276] +
+ vX_[6833] * vX_[163] + vX_[6834] * vX_[235] + vX_[6422] * vX_[169] + vX_[1377] * vX_[1133] +
+ vX_[9019] * vX_[1281] + (0 - vX_[6871]) * 0.35 + vX_[9116] * vX_[169] * 0.33 + vX_[7156] * vX_[1183] +
+ vX_[1477] * vX_[1201] + vX_[6839] * vX_[1223] + vX_[9240] * vX_[1213] + vX_[1406] * vX_[1168] +
+ vX_[1526] * vX_[1216] + vX_[9039] * vX_[1174] + vX_[1000] * vX_[1164] + vX_[339] * vX_[1160] +
+ vX_[7050] * vX_[1166] + vX_[6813] * vX_[167] * 0.33 + vX_[6844] * vX_[167] * 0.33 + vX_[6592] * vX_[1178] +
+ vX_[2066] * vX_[1247] + (0 - vX_[6809] - vX_[6872]) * 0.35 + vX_[6453] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[6690] = vX_[1844] + vX_[6777];
+ vX_[1486] = vX_[7148] + vX_[1486] * vX_[235] + vX_[1493] * vX_[249];
+ vX_[1484] = vX_[7148] + vX_[1495] * vX_[249] + vX_[1484] * vX_[247];
+ vX_[1564] = vX_[6531] + vX_[6717] + vX_[7148] - vX_[1486] - vX_[1484] + vX_[6841] * vX_[236] + vX_[1564] * vX_[165];
+ vX_[1484] = vX_[1484] + vX_[6700] * vX_[165] + vX_[2071] * vX_[251] + vX_[7238] * vX_[1860];
+ vX_[6700] = vX_[1564] - vX_[1484];
+ vX_[1497] = vX_[1514] * vX_[235] + vX_[1497] * vX_[249] + vX_[6821] * vX_[251] + vX_[633] * vX_[236] +
+ vX_[1240] * vX_[165] + vX_[7232] * vX_[1860];
+ vX_[1240] = vX_[6700] * vX_[186] + vX_[1497] * vX_[195];
+ vX_[633] = vX_[6700] * vX_[166] + vX_[1497] * vX_[186];
+ vX_[1531] = vX_[6857] + vX_[1531] * vX_[165] + vX_[3960] * vX_[236] * 2. + vX_[7232] * vX_[2019];
+ vX_[6857] = 0 - vX_[1497];
+ vX_[358] = 0 - (vX_[1495] * vX_[235] + vX_[1493] * vX_[247] + vX_[1482] * vX_[249] + vX_[6865] * vX_[165] +
+ vX_[358] * vX_[236] + vX_[1767] * vX_[251] + vX_[7204] * vX_[1860] + vX_[7238] * vX_[1852]);
+ vX_[1482] = 0 - vX_[1484];
+ vX_[1533] =
+ vX_[9034] + vX_[1533] * vX_[165] + vX_[1344] * vX_[251] * 2. + vX_[7238] * vX_[2019] + vX_[7241] * vX_[1860];
+ vX_[1344] = 0 - vX_[1533];
+ vX_[9003] = vX_[1550] + vX_[539] * vX_[165] + vX_[9003] * vX_[251] + vX_[7238] * vX_[2017] + vX_[7243] * vX_[1860];
+ vX_[1550] = 0 - vX_[9003];
+ vX_[539] = (vX_[1482] * vX_[196] + vX_[1344] * vX_[258] + vX_[1550] * vX_[267]) * 1 / vX_[232];
+ vX_[1482] = vX_[7120] * vX_[6438] + vX_[7239] * vX_[1114] + vX_[6857] * vX_[245] + vX_[358] * vX_[233] +
+ vX_[1482] * vX_[261] + vX_[539];
+ vX_[1529] = vX_[6698] + vX_[3532] * vX_[236] + vX_[1529] * vX_[165] * 2. + vX_[7232] * vX_[2017];
+ vX_[1564] = 0 - vX_[1564];
+ vX_[1512] = 0 - (0 - (vX_[1514] * vX_[249] + vX_[1512] * vX_[247]) + vX_[6692] * vX_[251] + vX_[1559] * vX_[165] +
+ vX_[1557] * vX_[236] + vX_[7232] * vX_[1852]);
+ vX_[1557] = 0 - vX_[1531];
+ vX_[1514] = 0 - vX_[1529];
+ vX_[6857] = (vX_[1564] * vX_[244] + vX_[1512] * vX_[206] + vX_[6857] * vX_[196] + vX_[1557] * vX_[258] +
+ vX_[1514] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[1564] = vX_[7130] * vX_[2300] + vX_[7236] * vX_[1114] + vX_[1564] * vX_[245] + vX_[6857];
+ vX_[7130] = vX_[1482] * vX_[195] + vX_[1564] * vX_[186];
+ vX_[1559] = vX_[1482] * vX_[186] + vX_[1564] * vX_[166];
+ vX_[6692] = vX_[1529] * vX_[186] + vX_[9003] * vX_[195];
+ vX_[6698] = vX_[1529] * vX_[166] + vX_[9003] * vX_[186];
+ vX_[1155] =
+ vX_[2087] + vX_[1155] * vX_[236] + vX_[5177] * vX_[251] * 2. + vX_[7204] * vX_[2017] + vX_[7243] * vX_[1852];
+ vX_[2087] = vX_[1533] - vX_[1155];
+ vX_[1486] = 0 - (vX_[1486] + vX_[359] * vX_[236] + vX_[7839] * vX_[251] + vX_[7204] * vX_[1852]);
+ vX_[923] =
+ 0 - (vX_[923] + vX_[2075] * vX_[236] + vX_[3532] * vX_[251] + vX_[7204] * vX_[2019] + vX_[7241] * vX_[1852]);
+ vX_[1155] = 0 - vX_[1155];
+ vX_[358] = (vX_[1486] * vX_[206] + vX_[358] * vX_[196] + vX_[923] * vX_[258] + vX_[1155] * vX_[267]) * 1 / vX_[232];
+ vX_[1486] = 0 - vX_[1531] + vX_[7114] * vX_[2497] + vX_[7237] * vX_[1114] + vX_[1512] * vX_[245] +
+ vX_[1486] * vX_[233] + vX_[358];
+ vX_[5177] = vX_[5177] + vX_[7243] * vX_[2017];
+ vX_[3960] = vX_[3960] + vX_[7241] * vX_[2019];
+ vX_[1512] = 0 - vX_[3960];
+ vX_[3532] = vX_[3532] + vX_[7241] * vX_[2017] + vX_[7243] * vX_[2019];
+ vX_[7114] = 0 - vX_[3532];
+ vX_[2075] = (vX_[1512] * vX_[258] + vX_[7114] * vX_[267]) * 1 / vX_[232];
+ vX_[7204] = 0 - vX_[5177];
+ vX_[359] = vX_[7204] * vX_[267] * 1 / vX_[232];
+ vX_[358] = 0 - vX_[7113] * vX_[6777] + vX_[7122] * vX_[1844] - vX_[7236] * vX_[1772] - vX_[7237] * vX_[3822] -
+ vX_[7239] * vX_[1086] - vX_[7240] * vX_[4089] + vX_[7240] * vX_[1114] - vX_[7242] * vX_[1092] -
+ vX_[7244] * vX_[1652] - vX_[6857] * vX_[245] - vX_[358] * vX_[233] - vX_[539] * vX_[261] -
+ vX_[2075] * vX_[525] - vX_[359] * vX_[534];
+ vX_[6857] = 0 - vX_[5177] + vX_[358];
+ vX_[359] = vX_[7126] * vX_[1944] + vX_[7244] * vX_[1114] + vX_[1514] * vX_[245] + vX_[1155] * vX_[233] +
+ vX_[1550] * vX_[261] + vX_[7114] * vX_[525] + vX_[7204] * vX_[534] + vX_[359];
+ vX_[2075] = vX_[7124] * vX_[6691] + vX_[7242] * vX_[1114] + vX_[1557] * vX_[245] + vX_[923] * vX_[233] +
+ vX_[1344] * vX_[261] + vX_[1512] * vX_[525] + vX_[2075];
+ vX_[1512] = vX_[6857] * vX_[186] + vX_[359] * vX_[195];
+ vX_[923] = vX_[6857] * vX_[166] + vX_[359] * vX_[186];
+ vX_[1557] = vX_[1512] * vX_[166] + vX_[923] * vX_[186];
+ vX_[1344] = vX_[5177] + vX_[1512] * vX_[186];
+ vX_[7242] = vX_[5177] + vX_[923] * vX_[166];
+ vX_[358] = vX_[3960] + vX_[5177] + vX_[358] - vX_[1344] - vX_[7242];
+ vX_[3960] = 0 - vX_[358];
+ vX_[5177] = (vX_[1531] * vX_[186] + vX_[1533] * vX_[195]) * -1;
+ vX_[7124] = vX_[5177] + vX_[3960] * vX_[197];
+ vX_[7204] = 0 - vX_[7124];
+ vX_[5177] = 0 - (vX_[2087] * vX_[166] + vX_[1486] * vX_[186]) + vX_[5177];
+ vX_[7114] = (vX_[1531] * vX_[166] + vX_[1533] * vX_[186]) * -1;
+ vX_[1155] = vX_[7114] + vX_[358] * vX_[202];
+ vX_[1514] = 0 - vX_[1155];
+ vX_[1550] = 0 - (vX_[3532] * vX_[166] + vX_[2075] * vX_[186]) + vX_[3532] * vX_[195] * -1 * 2.;
+ vX_[7244] = 0 - vX_[1550];
+ vX_[7126] = vX_[3532] * vX_[186] + vX_[2075] * vX_[195] + vX_[3532] * vX_[186] * -1 * 2.;
+ vX_[539] = 0 - vX_[7126];
+ vX_[7279] = vX_[7279] * vX_[2025];
+ vX_[7278] = vX_[7278] * vX_[2025] + vX_[7272] * vX_[1219];
+ vX_[7272] = 0 - vX_[7278];
+ vX_[7273] = vX_[7273] * vX_[1219];
+ vX_[7298] = vX_[7271] * vX_[2013] + vX_[7298] * vX_[2018];
+ vX_[7271] = vX_[592] * x_in[31];
+ vX_[7240] = vX_[592] * x_in[32];
+ vX_[7239] = 0 - vX_[7240] - vX_[7271];
+ vX_[7237] = 0 - vX_[7288];
+ vX_[7236] = vX_[7237] * x_in[19] + vX_[1403] * x_in[20];
+ vX_[7299] = vX_[7299] * vX_[1252];
+ vX_[7122] = vX_[7236] + vX_[7299];
+ vX_[7113] = 0 - vX_[7242];
+ vX_[7114] = vX_[2087] * vX_[186] + vX_[1486] * vX_[195] + vX_[7114];
+ vX_[7839] = 0 - vX_[1557];
+ vX_[7120] = 0 - vX_[7242];
+ vX_[9034] = 0 - vX_[7279] - vX_[7273];
+ vX_[1493] = 0 - vX_[7298];
+ vX_[1495] = 0 - vX_[7236] - vX_[7299];
+ jac[499] =
+ 0 -
+ (vX_[7117] * vX_[2300] + vX_[7119] * vX_[6438] + vX_[7110] * vX_[6690] + vX_[7111] * vX_[1944] +
+ vX_[7232] * vX_[803] + vX_[7238] * vX_[1982] + vX_[7228] * vX_[2014] + vX_[7243] * vX_[1297] +
+ vX_[6700] * vX_[242] + vX_[1497] * vX_[240] + vX_[1240] * vX_[241] + vX_[633] * vX_[211] +
+ vX_[1531] * vX_[199] + vX_[1482] * vX_[188] + vX_[1529] * vX_[265] + vX_[1533] * vX_[254] +
+ vX_[1564] * vX_[194] + vX_[9003] * vX_[266] + vX_[7130] * vX_[193] + vX_[1559] * vX_[187] +
+ vX_[6692] * vX_[192] + vX_[6698] * vX_[185] + vX_[2087] * vX_[204] + vX_[1486] * vX_[200] +
+ vX_[6857] * vX_[230] + vX_[359] * vX_[228] + vX_[3532] * vX_[578] + vX_[3532] * vX_[255] +
+ vX_[2075] * vX_[257] + vX_[1512] * vX_[182] + vX_[923] * vX_[227] +
+ (vX_[1557] * vX_[203] + vX_[3960] * vX_[213] + vX_[1344] * vX_[198] + vX_[7204] * vX_[209] +
+ (vX_[5177] + vX_[1344] * vX_[197]) * 4.027 + vX_[1514] * vX_[211] + vX_[7244] * vX_[193] +
+ vX_[539] * vX_[192] + vX_[1557] * vX_[180] + vX_[1344] * vX_[229]) *
+ -0.08 +
+ vX_[1636] * vX_[3339] + vX_[1633] * vX_[806] + vX_[1444] * vX_[4087] + vX_[1478] * vX_[3807] +
+ (vX_[7117] * vX_[6691] + vX_[7241] * vX_[803] + vX_[1636] * vX_[824]) * -0.08 + vX_[349] * vX_[235] +
+ vX_[348] * vX_[235] - vX_[7279] * vX_[167] + vX_[7280] * 0.35 + vX_[347] * vX_[1326] +
+ vX_[343] * vX_[1324] + vX_[1476] * vX_[1098] + vX_[1461] * vX_[1095] + vX_[1641] * vX_[1270] +
+ vX_[342] * vX_[235] + vX_[7272] * vX_[169] + vX_[332] * vX_[1335] + vX_[328] * vX_[1331] +
+ vX_[1866] * vX_[1107] + vX_[9093] * vX_[1096] + vX_[1796] * vX_[1272] + vX_[9094] * vX_[163] +
+ vX_[330] * vX_[235] - vX_[7273] * vX_[167] + vX_[7275] * vX_[1137] + vX_[1588] * vX_[1135] +
+ vX_[7274] * vX_[1285] + vX_[297] * vX_[1283] + vX_[7298] * vX_[167] * -0.33 + vX_[384] * vX_[1187] +
+ vX_[375] * vX_[1185] + vX_[318] * vX_[1205] + vX_[1473] * vX_[1221] + vX_[1637] * vX_[1166] +
+ vX_[314] * vX_[1218] + vX_[5252] * vX_[1160] + vX_[302] * vX_[1172] + vX_[376] * vX_[1162] +
+ vX_[1446] * vX_[1170] + vX_[1634] * vX_[1168] + (0 - vX_[7271]) * 0.35 + vX_[7239] * vX_[169] * 0.33 +
+ vX_[372] * vX_[1256] + vX_[361] * vX_[1254] + vX_[351] * vX_[1249] + vX_[355] * vX_[1203] +
+ vX_[7122] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[7119] * vX_[2300] + vX_[7111] * vX_[6690] + vX_[7232] * vX_[1982] + vX_[7228] * vX_[1297] +
+ vX_[6700] * vX_[240] + vX_[1240] * vX_[211] + vX_[633] * vX_[239] + vX_[1531] * vX_[254] +
+ vX_[1529] * vX_[266] + vX_[1564] * vX_[188] + vX_[7130] * vX_[192] + vX_[1559] * vX_[185] +
+ vX_[2087] * vX_[200] + vX_[6857] * vX_[228] + vX_[3532] * vX_[257] + vX_[1512] * vX_[227] +
+ vX_[923] * vX_[224] + vX_[1633] * vX_[3339] + vX_[1478] * vX_[4087] -
+ (vX_[7117] * vX_[6438] + vX_[7238] * vX_[803] + vX_[1636] * vX_[806]) +
+ (vX_[7119] * vX_[6691] + vX_[7241] * vX_[1982] +
+ (vX_[358] * vX_[212] + vX_[7113] * vX_[203] + vX_[7124] * vX_[211] + vX_[1155] * vX_[210] +
+ (0 - (vX_[7114] + vX_[1557] * vX_[197] + vX_[7113] * vX_[202])) * 4.027 + vX_[1550] * vX_[187] +
+ vX_[7126] * vX_[185] + vX_[7839] * vX_[189] + vX_[7120] * vX_[223]) *
+ -1 +
+ vX_[1633] * vX_[824]) *
+ -0.08 -
+ (vX_[7110] * vX_[1944] + vX_[7243] * vX_[2014] + vX_[1497] * vX_[242] + vX_[1482] * vX_[194] +
+ vX_[1533] * vX_[199] + vX_[9003] * vX_[265] + vX_[6692] * vX_[193] + vX_[6698] * vX_[187] +
+ vX_[1486] * vX_[204] + vX_[359] * vX_[230] + vX_[3532] * vX_[256] + vX_[2075] * vX_[255] +
+ vX_[1444] * vX_[3807]) +
+ vX_[1642] * vX_[163] + vX_[4941] * vX_[163] + vX_[7295] * vX_[1320] + vX_[7263] * vX_[1091] +
+ vX_[347] * vX_[1327] + vX_[346] * vX_[1323] + vX_[1476] * vX_[1099] + vX_[4333] * vX_[1096] +
+ vX_[1601] * vX_[1272] + vX_[1363] * vX_[163] + vX_[7278] * vX_[167] + vX_[332] * vX_[1334] +
+ vX_[328] * vX_[1332] + vX_[1471] * vX_[1106] + vX_[9093] * vX_[1104] + vX_[7247] * vX_[1276] +
+ vX_[7260] * vX_[163] + vX_[7261] * vX_[235] + vX_[9034] * vX_[169] + vX_[1407] * vX_[1133] +
+ vX_[322] * vX_[1281] + (0 - vX_[7298]) * 0.35 + vX_[1493] * vX_[169] * 0.33 + vX_[373] * vX_[1183] +
+ vX_[315] * vX_[1201] + vX_[7266] * vX_[1223] + vX_[1645] * vX_[1213] + vX_[1448] * vX_[1168] +
+ vX_[313] * vX_[1216] + vX_[308] * vX_[1174] + vX_[352] * vX_[1164] + vX_[385] * vX_[1160] +
+ vX_[7477] * vX_[1166] + vX_[7240] * vX_[167] * 0.33 + vX_[7271] * vX_[167] * 0.33 + vX_[360] * vX_[1178] +
+ vX_[4907] * vX_[1247] + (0 - vX_[7236] - vX_[7299]) * 0.35 + vX_[1495] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[8773] = vX_[7575] + vX_[8773] * vX_[235] + vX_[8230] * vX_[249];
+ vX_[1828] = vX_[7575] + vX_[8224] * vX_[249] + vX_[1828] * vX_[247];
+ vX_[2461] = vX_[5329] + vX_[7144] + vX_[7575] - vX_[8773] - vX_[1828] + vX_[7268] * vX_[236] + vX_[2461] * vX_[165];
+ vX_[1828] = vX_[1828] + vX_[7127] * vX_[165] + vX_[6657] * vX_[251] + vX_[7665] * vX_[1860];
+ vX_[7127] = vX_[2461] - vX_[1828];
+ vX_[2748] = vX_[8611] * vX_[235] + vX_[2748] * vX_[249] + vX_[7248] * vX_[251] + vX_[341] * vX_[236] +
+ vX_[8365] * vX_[165] + vX_[7659] * vX_[1860];
+ vX_[8365] = vX_[7127] * vX_[186] + vX_[2748] * vX_[195];
+ vX_[341] = vX_[7127] * vX_[166] + vX_[2748] * vX_[186];
+ vX_[2468] = vX_[7284] + vX_[2468] * vX_[165] + vX_[2681] * vX_[236] * 2. + vX_[7659] * vX_[2019];
+ vX_[7284] = 0 - vX_[2748];
+ vX_[9352] = 0 - (vX_[8224] * vX_[235] + vX_[8230] * vX_[247] + vX_[1236] * vX_[249] + vX_[7292] * vX_[165] +
+ vX_[9352] * vX_[236] + vX_[2448] * vX_[251] + vX_[7631] * vX_[1860] + vX_[7665] * vX_[1852]);
+ vX_[1236] = 0 - vX_[1828];
+ vX_[7152] =
+ vX_[4488] + vX_[7152] * vX_[165] + vX_[1864] * vX_[251] * 2. + vX_[7665] * vX_[2019] + vX_[7668] * vX_[1860];
+ vX_[1864] = 0 - vX_[7152];
+ vX_[1157] = vX_[9148] + vX_[8619] * vX_[165] + vX_[1157] * vX_[251] + vX_[7665] * vX_[2017] + vX_[7670] * vX_[1860];
+ vX_[9148] = 0 - vX_[1157];
+ vX_[8619] = (vX_[1236] * vX_[196] + vX_[1864] * vX_[258] + vX_[9148] * vX_[267]) * 1 / vX_[232];
+ vX_[1236] = vX_[7548] * vX_[6438] + vX_[7666] * vX_[1114] + vX_[7284] * vX_[245] + vX_[9352] * vX_[233] +
+ vX_[1236] * vX_[261] + vX_[8619];
+ vX_[7585] = vX_[7125] + vX_[2731] * vX_[236] + vX_[7585] * vX_[165] * 2. + vX_[7659] * vX_[2017];
+ vX_[2461] = 0 - vX_[2461];
+ vX_[7011] = 0 - (0 - (vX_[8611] * vX_[249] + vX_[7011] * vX_[247]) + vX_[7115] * vX_[251] + vX_[2907] * vX_[165] +
+ vX_[2444] * vX_[236] + vX_[7659] * vX_[1852]);
+ vX_[2444] = 0 - vX_[2468];
+ vX_[8611] = 0 - vX_[7585];
+ vX_[7284] = (vX_[2461] * vX_[244] + vX_[7011] * vX_[206] + vX_[7284] * vX_[196] + vX_[2444] * vX_[258] +
+ vX_[8611] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[2461] = vX_[7557] * vX_[2300] + vX_[7663] * vX_[1114] + vX_[2461] * vX_[245] + vX_[7284];
+ vX_[7557] = vX_[1236] * vX_[195] + vX_[2461] * vX_[186];
+ vX_[2907] = vX_[1236] * vX_[186] + vX_[2461] * vX_[166];
+ vX_[7115] = vX_[7585] * vX_[186] + vX_[1157] * vX_[195];
+ vX_[7125] = vX_[7585] * vX_[166] + vX_[1157] * vX_[186];
+ vX_[9036] =
+ vX_[838] + vX_[9036] * vX_[236] + vX_[2299] * vX_[251] * 2. + vX_[7631] * vX_[2017] + vX_[7670] * vX_[1852];
+ vX_[838] = vX_[7152] - vX_[9036];
+ vX_[8773] = 0 - (vX_[8773] + vX_[9292] * vX_[236] + vX_[9144] * vX_[251] + vX_[7631] * vX_[1852]);
+ vX_[7777] =
+ 0 - (vX_[7777] + vX_[7805] * vX_[236] + vX_[2731] * vX_[251] + vX_[7631] * vX_[2019] + vX_[7668] * vX_[1852]);
+ vX_[9036] = 0 - vX_[9036];
+ vX_[9352] =
+ (vX_[8773] * vX_[206] + vX_[9352] * vX_[196] + vX_[7777] * vX_[258] + vX_[9036] * vX_[267]) * 1 / vX_[232];
+ vX_[8773] = 0 - vX_[2468] + vX_[7542] * vX_[2497] + vX_[7664] * vX_[1114] + vX_[7011] * vX_[245] +
+ vX_[8773] * vX_[233] + vX_[9352];
+ vX_[2299] = vX_[2299] + vX_[7670] * vX_[2017];
+ vX_[2681] = vX_[2681] + vX_[7668] * vX_[2019];
+ vX_[7011] = 0 - vX_[2681];
+ vX_[2731] = vX_[2731] + vX_[7668] * vX_[2017] + vX_[7670] * vX_[2019];
+ vX_[2497] = 0 - vX_[2731];
+ vX_[7542] = (vX_[7011] * vX_[258] + vX_[2497] * vX_[267]) * 1 / vX_[232];
+ vX_[7805] = 0 - vX_[2299];
+ vX_[7631] = vX_[7805] * vX_[267] * 1 / vX_[232];
+ vX_[9352] = 0 - vX_[7541] * vX_[6777] + vX_[7550] * vX_[1844] - vX_[7663] * vX_[1772] - vX_[7664] * vX_[3822] -
+ vX_[7666] * vX_[1086] - vX_[7667] * vX_[4089] + vX_[7667] * vX_[1114] - vX_[7669] * vX_[1092] -
+ vX_[7671] * vX_[1652] - vX_[7284] * vX_[245] - vX_[9352] * vX_[233] - vX_[8619] * vX_[261] -
+ vX_[7542] * vX_[525] - vX_[7631] * vX_[534];
+ vX_[7284] = 0 - vX_[2299] + vX_[9352];
+ vX_[7631] = vX_[7553] * vX_[1944] + vX_[7671] * vX_[1114] + vX_[8611] * vX_[245] + vX_[9036] * vX_[233] +
+ vX_[9148] * vX_[261] + vX_[2497] * vX_[525] + vX_[7805] * vX_[534] + vX_[7631];
+ vX_[7542] = vX_[7552] * vX_[6691] + vX_[7669] * vX_[1114] + vX_[2444] * vX_[245] + vX_[7777] * vX_[233] +
+ vX_[1864] * vX_[261] + vX_[7011] * vX_[525] + vX_[7542];
+ vX_[7011] = vX_[7284] * vX_[186] + vX_[7631] * vX_[195];
+ vX_[7777] = vX_[7284] * vX_[166] + vX_[7631] * vX_[186];
+ vX_[2444] = vX_[7011] * vX_[166] + vX_[7777] * vX_[186];
+ vX_[1864] = vX_[2299] + vX_[7011] * vX_[186];
+ vX_[7669] = vX_[2299] + vX_[7777] * vX_[166];
+ vX_[9352] = vX_[2681] + vX_[2299] + vX_[9352] - vX_[1864] - vX_[7669];
+ vX_[2681] = 0 - vX_[9352];
+ vX_[2299] = (vX_[2468] * vX_[186] + vX_[7152] * vX_[195]) * -1;
+ vX_[7552] = vX_[2299] + vX_[2681] * vX_[197];
+ vX_[7805] = 0 - vX_[7552];
+ vX_[2299] = 0 - (vX_[838] * vX_[166] + vX_[8773] * vX_[186]) + vX_[2299];
+ vX_[2497] = (vX_[2468] * vX_[166] + vX_[7152] * vX_[186]) * -1;
+ vX_[9036] = vX_[2497] + vX_[9352] * vX_[202];
+ vX_[8611] = 0 - vX_[9036];
+ vX_[9148] = 0 - (vX_[2731] * vX_[166] + vX_[7542] * vX_[186]) + vX_[2731] * vX_[195] * -1 * 2.;
+ vX_[7671] = 0 - vX_[9148];
+ vX_[7553] = vX_[2731] * vX_[186] + vX_[7542] * vX_[195] + vX_[2731] * vX_[186] * -1 * 2.;
+ vX_[8619] = 0 - vX_[7553];
+ vX_[7706] = vX_[7706] * vX_[2025];
+ vX_[7705] = vX_[7705] * vX_[2025] + vX_[7699] * vX_[1219];
+ vX_[7699] = 0 - vX_[7705];
+ vX_[7700] = vX_[7700] * vX_[1219];
+ vX_[7725] = vX_[7698] * vX_[2013] + vX_[7725] * vX_[2018];
+ vX_[7698] = vX_[1231] * x_in[31];
+ vX_[6777] = vX_[1231] * x_in[32];
+ vX_[1844] = 0 - vX_[6777] - vX_[7698];
+ vX_[7667] = 0 - vX_[7715];
+ vX_[7666] = vX_[7667] * x_in[19] + vX_[9329] * x_in[20];
+ vX_[7726] = vX_[7726] * vX_[1252];
+ vX_[7664] = vX_[7666] + vX_[7726];
+ vX_[7663] = 0 - vX_[7669];
+ vX_[2497] = vX_[838] * vX_[186] + vX_[8773] * vX_[195] + vX_[2497];
+ vX_[7550] = 0 - vX_[2444];
+ vX_[7541] = 0 - vX_[7669];
+ vX_[9292] = 0 - vX_[7706] - vX_[7700];
+ vX_[9144] = 0 - vX_[7725];
+ vX_[7548] = 0 - vX_[7666] - vX_[7726];
+ jac[500] =
+ 0 -
+ (vX_[7545] * vX_[2300] + vX_[7547] * vX_[6438] + vX_[7538] * vX_[6690] + vX_[7539] * vX_[1944] +
+ vX_[7659] * vX_[803] + vX_[7665] * vX_[1982] + vX_[7655] * vX_[2014] + vX_[7670] * vX_[1297] +
+ vX_[7127] * vX_[242] + vX_[2748] * vX_[240] + vX_[8365] * vX_[241] + vX_[341] * vX_[211] +
+ vX_[2468] * vX_[199] + vX_[1236] * vX_[188] + vX_[7585] * vX_[265] + vX_[7152] * vX_[254] +
+ vX_[2461] * vX_[194] + vX_[1157] * vX_[266] + vX_[7557] * vX_[193] + vX_[2907] * vX_[187] +
+ vX_[7115] * vX_[192] + vX_[7125] * vX_[185] + vX_[838] * vX_[204] + vX_[8773] * vX_[200] +
+ vX_[7284] * vX_[230] + vX_[7631] * vX_[228] + vX_[2731] * vX_[578] + vX_[2731] * vX_[255] +
+ vX_[7542] * vX_[257] + vX_[7011] * vX_[182] + vX_[7777] * vX_[227] +
+ (vX_[2444] * vX_[203] + vX_[2681] * vX_[213] + vX_[1864] * vX_[198] + vX_[7805] * vX_[209] +
+ (vX_[2299] + vX_[1864] * vX_[197]) * 4.027 + vX_[8611] * vX_[211] + vX_[7671] * vX_[193] +
+ vX_[8619] * vX_[192] + vX_[2444] * vX_[180] + vX_[1864] * vX_[229]) *
+ -0.08 +
+ vX_[1859] * vX_[3339] + vX_[2034] * vX_[806] + vX_[460] * vX_[4087] + vX_[9258] * vX_[3807] +
+ (vX_[7545] * vX_[6691] + vX_[7668] * vX_[803] + vX_[1859] * vX_[824]) * -0.08 + vX_[4124] * vX_[235] +
+ vX_[9314] * vX_[235] - vX_[7706] * vX_[167] + vX_[7707] * 0.35 + vX_[9312] * vX_[1326] +
+ vX_[8858] * vX_[1324] + vX_[8683] * vX_[1098] + vX_[3116] * vX_[1095] + vX_[1152] * vX_[1270] +
+ vX_[4106] * vX_[235] + vX_[7699] * vX_[169] + vX_[9293] * vX_[1335] + vX_[9247] * vX_[1331] +
+ vX_[1525] * vX_[1107] + vX_[8640] * vX_[1096] + vX_[1566] * vX_[1272] + vX_[1516] * vX_[163] +
+ vX_[620] * vX_[235] - vX_[7700] * vX_[167] + vX_[7702] * vX_[1137] + vX_[1888] * vX_[1135] +
+ vX_[7701] * vX_[1285] + vX_[9215] * vX_[1283] + vX_[7725] * vX_[167] * -0.33 + vX_[8211] * vX_[1187] +
+ vX_[8592] * vX_[1185] + vX_[9253] * vX_[1205] + vX_[8233] * vX_[1221] + vX_[8252] * vX_[1166] +
+ vX_[8679] * vX_[1218] + vX_[8794] * vX_[1160] + vX_[9259] * vX_[1172] + vX_[9284] * vX_[1162] +
+ vX_[8606] * vX_[1170] + vX_[2023] * vX_[1168] + (0 - vX_[7698]) * 0.35 + vX_[1844] * vX_[169] * 0.33 +
+ vX_[8588] * vX_[1256] + vX_[8576] * vX_[1254] + vX_[9287] * vX_[1249] + vX_[9289] * vX_[1203] +
+ vX_[7664] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[7547] * vX_[2300] + vX_[7539] * vX_[6690] + vX_[7659] * vX_[1982] + vX_[7655] * vX_[1297] +
+ vX_[7127] * vX_[240] + vX_[8365] * vX_[211] + vX_[341] * vX_[239] + vX_[2468] * vX_[254] +
+ vX_[7585] * vX_[266] + vX_[2461] * vX_[188] + vX_[7557] * vX_[192] + vX_[2907] * vX_[185] +
+ vX_[838] * vX_[200] + vX_[7284] * vX_[228] + vX_[2731] * vX_[257] + vX_[7011] * vX_[227] +
+ vX_[7777] * vX_[224] + vX_[2034] * vX_[3339] + vX_[9258] * vX_[4087] -
+ (vX_[7545] * vX_[6438] + vX_[7665] * vX_[803] + vX_[1859] * vX_[806]) +
+ (vX_[7547] * vX_[6691] + vX_[7668] * vX_[1982] +
+ (vX_[9352] * vX_[212] + vX_[7663] * vX_[203] + vX_[7552] * vX_[211] + vX_[9036] * vX_[210] +
+ (0 - (vX_[2497] + vX_[2444] * vX_[197] + vX_[7663] * vX_[202])) * 4.027 + vX_[9148] * vX_[187] +
+ vX_[7553] * vX_[185] + vX_[7550] * vX_[189] + vX_[7541] * vX_[223]) *
+ -1 +
+ vX_[2034] * vX_[824]) *
+ -0.08 -
+ (vX_[7538] * vX_[1944] + vX_[7670] * vX_[2014] + vX_[2748] * vX_[242] + vX_[1236] * vX_[194] +
+ vX_[7152] * vX_[199] + vX_[1157] * vX_[265] + vX_[7115] * vX_[193] + vX_[7125] * vX_[187] +
+ vX_[8773] * vX_[204] + vX_[7631] * vX_[230] + vX_[2731] * vX_[256] + vX_[7542] * vX_[255] +
+ vX_[460] * vX_[3807]) +
+ vX_[8272] * vX_[163] + vX_[2080] * vX_[163] + vX_[7722] * vX_[1320] + vX_[7690] * vX_[1091] +
+ vX_[9312] * vX_[1327] + vX_[9283] * vX_[1323] + vX_[8683] * vX_[1099] + vX_[987] * vX_[1096] +
+ vX_[1568] * vX_[1272] + vX_[9021] * vX_[163] + vX_[7705] * vX_[167] + vX_[9293] * vX_[1334] +
+ vX_[9247] * vX_[1332] + vX_[8235] * vX_[1106] + vX_[8640] * vX_[1104] + vX_[7674] * vX_[1276] +
+ vX_[7687] * vX_[163] + vX_[7688] * vX_[235] + vX_[9292] * vX_[169] + vX_[8649] * vX_[1133] +
+ vX_[1811] * vX_[1281] + (0 - vX_[7725]) * 0.35 + vX_[9144] * vX_[169] * 0.33 + vX_[8590] * vX_[1183] +
+ vX_[1571] * vX_[1201] + vX_[7693] * vX_[1223] + vX_[7583] * vX_[1213] + vX_[1854] * vX_[1168] +
+ vX_[9269] * vX_[1216] + vX_[9277] * vX_[1174] + vX_[8193] * vX_[1164] + vX_[9278] * vX_[1160] +
+ vX_[7904] * vX_[1166] + vX_[6777] * vX_[167] * 0.33 + vX_[7698] * vX_[167] * 0.33 + vX_[8849] * vX_[1178] +
+ vX_[8199] * vX_[1247] + (0 - vX_[7666] - vX_[7726]) * 0.35 + vX_[7548] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[1721] = vX_[7994] + vX_[1721] * vX_[235] + vX_[1720] * vX_[249];
+ vX_[1730] = vX_[7994] + vX_[1717] * vX_[249] + vX_[1730] * vX_[247];
+ vX_[1946] = vX_[2825] + vX_[7571] + vX_[7994] - vX_[1721] - vX_[1730] + vX_[7695] * vX_[236] + vX_[1946] * vX_[165];
+ vX_[1730] = vX_[1730] + vX_[7554] * vX_[165] + vX_[9299] * vX_[251] + vX_[8084] * vX_[1860];
+ vX_[7554] = vX_[1946] - vX_[1730];
+ vX_[1713] = vX_[494] * vX_[235] + vX_[1713] * vX_[249] + vX_[7675] * vX_[251] + vX_[9298] * vX_[236] +
+ vX_[449] * vX_[165] + vX_[8078] * vX_[1860];
+ vX_[449] = vX_[7554] * vX_[186] + vX_[1713] * vX_[195];
+ vX_[9298] = vX_[7554] * vX_[166] + vX_[1713] * vX_[186];
+ vX_[1949] = vX_[7711] + vX_[1949] * vX_[165] + vX_[2734] * vX_[236] * 2. + vX_[8078] * vX_[2019];
+ vX_[7711] = 0 - vX_[1713];
+ vX_[2785] = 0 - (vX_[1717] * vX_[235] + vX_[1720] * vX_[247] + vX_[7774] * vX_[249] + vX_[7719] * vX_[165] +
+ vX_[2785] * vX_[236] + vX_[466] * vX_[251] + vX_[8050] * vX_[1860] + vX_[8084] * vX_[1852]);
+ vX_[7774] = 0 - vX_[1730];
+ vX_[9064] =
+ vX_[450] + vX_[9064] * vX_[165] + vX_[467] * vX_[251] * 2. + vX_[8084] * vX_[2019] + vX_[8087] * vX_[1860];
+ vX_[467] = 0 - vX_[9064];
+ vX_[9086] = vX_[2929] + vX_[8194] * vX_[165] + vX_[9086] * vX_[251] + vX_[8084] * vX_[2017] + vX_[8089] * vX_[1860];
+ vX_[2929] = 0 - vX_[9086];
+ vX_[8194] = (vX_[7774] * vX_[196] + vX_[467] * vX_[258] + vX_[2929] * vX_[267]) * 1 / vX_[232];
+ vX_[7774] = vX_[8085] * vX_[1114] + vX_[7711] * vX_[245] + vX_[2785] * vX_[233] + vX_[7774] * vX_[261] + vX_[8194];
+ vX_[5] = vX_[7536] + vX_[369] * vX_[236] + vX_[5] * vX_[165] * 2. + vX_[8078] * vX_[2017];
+ vX_[1946] = 0 - vX_[1946];
+ vX_[606] = 0 - (0 - (vX_[494] * vX_[249] + vX_[606] * vX_[247]) + vX_[7543] * vX_[251] + vX_[1910] * vX_[165] +
+ vX_[9085] * vX_[236] + vX_[8078] * vX_[1852]);
+ vX_[9085] = 0 - vX_[1949];
+ vX_[494] = 0 - vX_[5];
+ vX_[7711] = (vX_[1946] * vX_[244] + vX_[606] * vX_[206] + vX_[7711] * vX_[196] + vX_[9085] * vX_[258] +
+ vX_[494] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[1946] = vX_[8082] * vX_[1114] + vX_[1946] * vX_[245] + vX_[7711];
+ vX_[1910] = vX_[7774] * vX_[195] + vX_[1946] * vX_[186];
+ vX_[7543] = vX_[7774] * vX_[186] + vX_[1946] * vX_[166];
+ vX_[7536] = vX_[5] * vX_[186] + vX_[9086] * vX_[195];
+ vX_[450] = vX_[5] * vX_[166] + vX_[9086] * vX_[186];
+ vX_[650] =
+ vX_[505] + vX_[650] * vX_[236] + vX_[6694] * vX_[251] * 2. + vX_[8050] * vX_[2017] + vX_[8089] * vX_[1852];
+ vX_[505] = vX_[9064] - vX_[650];
+ vX_[1721] = 0 - (vX_[1721] + vX_[2815] * vX_[236] + vX_[492] * vX_[251] + vX_[8050] * vX_[1852]);
+ vX_[390] =
+ 0 - (vX_[390] + vX_[468] * vX_[236] + vX_[369] * vX_[251] + vX_[8050] * vX_[2019] + vX_[8087] * vX_[1852]);
+ vX_[650] = 0 - vX_[650];
+ vX_[2785] =
+ (vX_[1721] * vX_[206] + vX_[2785] * vX_[196] + vX_[390] * vX_[258] + vX_[650] * vX_[267]) * 1 / vX_[232];
+ vX_[1721] = 0 - vX_[1949] + vX_[8083] * vX_[1114] + vX_[606] * vX_[245] + vX_[1721] * vX_[233] + vX_[2785];
+ vX_[6694] = vX_[6694] + vX_[8089] * vX_[2017];
+ vX_[2734] = vX_[2734] + vX_[8087] * vX_[2019];
+ vX_[606] = 0 - vX_[2734];
+ vX_[369] = vX_[369] + vX_[8087] * vX_[2017] + vX_[8089] * vX_[2019];
+ vX_[468] = 0 - vX_[369];
+ vX_[8050] = (vX_[606] * vX_[258] + vX_[468] * vX_[267]) * 1 / vX_[232];
+ vX_[2815] = 0 - vX_[6694];
+ vX_[492] = vX_[2815] * vX_[267] * 1 / vX_[232];
+ vX_[2785] = 0 - vX_[8082] * vX_[1772] - vX_[8083] * vX_[3822] - vX_[8085] * vX_[1086] - vX_[8086] * vX_[4089] +
+ vX_[8086] * vX_[1114] - vX_[8088] * vX_[1092] - vX_[8090] * vX_[1652] - vX_[7711] * vX_[245] -
+ vX_[2785] * vX_[233] - vX_[8194] * vX_[261] - vX_[8050] * vX_[525] - vX_[492] * vX_[534];
+ vX_[7711] = 0 - vX_[6694] + vX_[2785];
+ vX_[492] = vX_[8090] * vX_[1114] + vX_[494] * vX_[245] + vX_[650] * vX_[233] + vX_[2929] * vX_[261] +
+ vX_[468] * vX_[525] + vX_[2815] * vX_[534] + vX_[492];
+ vX_[8050] = vX_[8088] * vX_[1114] + vX_[9085] * vX_[245] + vX_[390] * vX_[233] + vX_[467] * vX_[261] +
+ vX_[606] * vX_[525] + vX_[8050];
+ vX_[606] = vX_[7711] * vX_[186] + vX_[492] * vX_[195];
+ vX_[390] = vX_[7711] * vX_[166] + vX_[492] * vX_[186];
+ vX_[9085] = vX_[606] * vX_[166] + vX_[390] * vX_[186];
+ vX_[467] = vX_[6694] + vX_[606] * vX_[186];
+ vX_[8088] = vX_[6694] + vX_[390] * vX_[166];
+ vX_[2785] = vX_[2734] + vX_[6694] + vX_[2785] - vX_[467] - vX_[8088];
+ vX_[2734] = 0 - vX_[2785];
+ vX_[6694] = (vX_[1949] * vX_[186] + vX_[9064] * vX_[195]) * -1;
+ vX_[2815] = vX_[6694] + vX_[2734] * vX_[197];
+ vX_[468] = 0 - vX_[2815];
+ vX_[6694] = 0 - (vX_[505] * vX_[166] + vX_[1721] * vX_[186]) + vX_[6694];
+ vX_[650] = (vX_[1949] * vX_[166] + vX_[9064] * vX_[186]) * -1;
+ vX_[494] = vX_[650] + vX_[2785] * vX_[202];
+ vX_[2929] = 0 - vX_[494];
+ vX_[8090] = 0 - (vX_[369] * vX_[166] + vX_[8050] * vX_[186]) + vX_[369] * vX_[195] * -1 * 2.;
+ vX_[8194] = 0 - vX_[8090];
+ vX_[8086] = vX_[369] * vX_[186] + vX_[8050] * vX_[195] + vX_[369] * vX_[186] * -1 * 2.;
+ vX_[8085] = 0 - vX_[8086];
+ vX_[8125] = vX_[8125] * vX_[2025];
+ vX_[8124] = vX_[8124] * vX_[2025] + vX_[8118] * vX_[1219];
+ vX_[8118] = 0 - vX_[8124];
+ vX_[8119] = vX_[8119] * vX_[1219];
+ vX_[8144] = vX_[8117] * vX_[2013] + vX_[8144] * vX_[2018];
+ vX_[8117] = vX_[9369] * x_in[31];
+ vX_[8083] = vX_[9369] * x_in[32];
+ vX_[8082] = 0 - vX_[8083] - vX_[8117];
+ vX_[1720] = 0 - vX_[8134];
+ vX_[1717] = vX_[1720] * x_in[19] + vX_[9363] * x_in[20];
+ vX_[8145] = vX_[8145] * vX_[1252];
+ vX_[7719] = vX_[1717] + vX_[8145];
+ vX_[466] = 0 - vX_[8088];
+ vX_[650] = vX_[505] * vX_[186] + vX_[1721] * vX_[195] + vX_[650];
+ vX_[7675] = 0 - vX_[9085];
+ vX_[9299] = 0 - vX_[8088];
+ vX_[7695] = 0 - vX_[8125] - vX_[8119];
+ vX_[7663] = 0 - vX_[8144];
+ vX_[7726] = 0 - vX_[1717] - vX_[8145];
+ jac[501] =
+ 0 -
+ (vX_[8078] * vX_[803] + vX_[8084] * vX_[1982] + vX_[8074] * vX_[2014] + vX_[8089] * vX_[1297] +
+ vX_[7554] * vX_[242] + vX_[1713] * vX_[240] + vX_[449] * vX_[241] + vX_[9298] * vX_[211] +
+ vX_[1949] * vX_[199] + vX_[7774] * vX_[188] + vX_[5] * vX_[265] + vX_[9064] * vX_[254] +
+ vX_[1946] * vX_[194] + vX_[9086] * vX_[266] + vX_[1910] * vX_[193] + vX_[7543] * vX_[187] +
+ vX_[7536] * vX_[192] + vX_[450] * vX_[185] + vX_[505] * vX_[204] + vX_[1721] * vX_[200] +
+ vX_[7711] * vX_[230] + vX_[492] * vX_[228] + vX_[369] * vX_[578] + vX_[369] * vX_[255] +
+ vX_[8050] * vX_[257] + vX_[606] * vX_[182] + vX_[390] * vX_[227] +
+ (vX_[9085] * vX_[203] + vX_[2734] * vX_[213] + vX_[467] * vX_[198] + vX_[468] * vX_[209] +
+ (vX_[6694] + vX_[467] * vX_[197]) * 4.027 + vX_[2929] * vX_[211] + vX_[8194] * vX_[193] +
+ vX_[8085] * vX_[192] + vX_[9085] * vX_[180] + vX_[467] * vX_[229]) *
+ -0.08 +
+ vX_[8147] * vX_[3339] + vX_[1822] * vX_[806] + vX_[7780] * vX_[4087] + vX_[1783] * vX_[3807] +
+ (vX_[8087] * vX_[803] + vX_[8147] * vX_[824]) * -0.08 + vX_[7956] * vX_[235] + vX_[9364] * vX_[235] -
+ vX_[8125] * vX_[167] + vX_[8126] * 0.35 + vX_[2777] * vX_[1326] + vX_[9084] * vX_[1324] +
+ vX_[1789] * vX_[1098] + vX_[8246] * vX_[1095] + vX_[8159] * vX_[1270] + vX_[7762] * vX_[235] +
+ vX_[8118] * vX_[169] + vX_[7365] * vX_[1335] + vX_[1549] * vX_[1331] + vX_[2430] * vX_[1107] +
+ vX_[9170] * vX_[1096] + vX_[8622] * vX_[1272] + vX_[8628] * vX_[163] + vX_[7742] * vX_[235] -
+ vX_[8119] * vX_[167] + vX_[8121] * vX_[1137] + vX_[1897] * vX_[1135] + vX_[8120] * vX_[1285] +
+ vX_[7728] * vX_[1283] + vX_[8144] * vX_[167] * -0.33 + vX_[1839] * vX_[1187] + vX_[1867] * vX_[1185] +
+ vX_[9118] * vX_[1205] + vX_[1793] * vX_[1221] + vX_[8156] * vX_[1166] + vX_[3291] * vX_[1218] +
+ vX_[1913] * vX_[1160] + vX_[604] * vX_[1172] + vX_[1413] * vX_[1162] + vX_[1803] * vX_[1170] +
+ vX_[552] * vX_[1168] + (0 - vX_[8117]) * 0.35 + vX_[8082] * vX_[169] * 0.33 + vX_[8295] * vX_[1256] +
+ vX_[9371] * vX_[1254] + vX_[1956] * vX_[1249] + vX_[1426] * vX_[1203] + vX_[7719] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[8078] * vX_[1982] + vX_[8074] * vX_[1297] + vX_[7554] * vX_[240] + vX_[449] * vX_[211] +
+ vX_[9298] * vX_[239] + vX_[1949] * vX_[254] + vX_[5] * vX_[266] + vX_[1946] * vX_[188] +
+ vX_[1910] * vX_[192] + vX_[7543] * vX_[185] + vX_[505] * vX_[200] + vX_[7711] * vX_[228] +
+ vX_[369] * vX_[257] + vX_[606] * vX_[227] + vX_[390] * vX_[224] + vX_[1822] * vX_[3339] +
+ vX_[1783] * vX_[4087] - (vX_[8084] * vX_[803] + vX_[8147] * vX_[806]) +
+ (vX_[8087] * vX_[1982] +
+ (vX_[2785] * vX_[212] + vX_[466] * vX_[203] + vX_[2815] * vX_[211] + vX_[494] * vX_[210] +
+ (0 - (vX_[650] + vX_[9085] * vX_[197] + vX_[466] * vX_[202])) * 4.027 + vX_[8090] * vX_[187] +
+ vX_[8086] * vX_[185] + vX_[7675] * vX_[189] + vX_[9299] * vX_[223]) *
+ -1 +
+ vX_[1822] * vX_[824]) *
+ -0.08 -
+ (vX_[8089] * vX_[2014] + vX_[1713] * vX_[242] + vX_[7774] * vX_[194] + vX_[9064] * vX_[199] +
+ vX_[9086] * vX_[265] + vX_[7536] * vX_[193] + vX_[450] * vX_[187] + vX_[1721] * vX_[204] +
+ vX_[492] * vX_[230] + vX_[369] * vX_[256] + vX_[8050] * vX_[255] + vX_[7780] * vX_[3807]) +
+ vX_[8161] * vX_[163] + vX_[4392] * vX_[163] + vX_[8141] * vX_[1320] + vX_[8109] * vX_[1091] +
+ vX_[2777] * vX_[1327] + vX_[9366] * vX_[1323] + vX_[1789] * vX_[1099] + vX_[2691] * vX_[1096] +
+ vX_[952] * vX_[1272] + vX_[7835] * vX_[163] + vX_[8124] * vX_[167] + vX_[7365] * vX_[1334] +
+ vX_[1549] * vX_[1332] + vX_[1795] * vX_[1106] + vX_[9170] * vX_[1104] + vX_[8093] * vX_[1276] +
+ vX_[8106] * vX_[163] + vX_[8107] * vX_[235] + vX_[7695] * vX_[169] + vX_[1921] * vX_[1133] +
+ vX_[3338] * vX_[1281] + (0 - vX_[8144]) * 0.35 + vX_[7663] * vX_[169] * 0.33 + vX_[7758] * vX_[1183] +
+ vX_[1748] * vX_[1201] + vX_[8112] * vX_[1223] + vX_[441] * vX_[1213] + vX_[1797] * vX_[1168] +
+ vX_[2086] * vX_[1216] + vX_[1964] * vX_[1174] + vX_[1900] * vX_[1164] + vX_[1948] * vX_[1160] +
+ vX_[8323] * vX_[1166] + vX_[8083] * vX_[167] * 0.33 + vX_[8117] * vX_[167] * 0.33 + vX_[9378] * vX_[1178] +
+ vX_[637] * vX_[1247] + (0 - vX_[1717] - vX_[8145]) * 0.35 + vX_[7726] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[2360] = vX_[8423] + vX_[2360] * vX_[235] + vX_[2932] * vX_[249];
+ vX_[2770] = vX_[8423] + vX_[2394] * vX_[249] + vX_[2770] * vX_[247];
+ vX_[7310] = vX_[1454] + vX_[7990] + vX_[8423] - vX_[2360] - vX_[2770] + vX_[8114] * vX_[236] + vX_[7310] * vX_[165];
+ vX_[2770] = vX_[2770] + vX_[1763] * vX_[165] + vX_[7336] * vX_[251] + vX_[8513] * vX_[1860];
+ vX_[1763] = vX_[7310] - vX_[2770];
+ vX_[7916] = vX_[3442] * vX_[235] + vX_[7916] * vX_[249] + vX_[8094] * vX_[251] + vX_[7353] * vX_[236] +
+ vX_[2402] * vX_[165] + vX_[8507] * vX_[1860];
+ vX_[2402] = vX_[1763] * vX_[186] + vX_[7916] * vX_[195];
+ vX_[7353] = vX_[1763] * vX_[166] + vX_[7916] * vX_[186];
+ vX_[3221] = vX_[8130] + vX_[3221] * vX_[165] + vX_[5104] * vX_[236] * 2. + vX_[8507] * vX_[2019];
+ vX_[8130] = 0 - vX_[7916];
+ vX_[7718] = 0 - (vX_[2394] * vX_[235] + vX_[2932] * vX_[247] + vX_[3686] * vX_[249] + vX_[8138] * vX_[165] +
+ vX_[7718] * vX_[236] + vX_[7339] * vX_[251] + vX_[8479] * vX_[1860] + vX_[8513] * vX_[1852]);
+ vX_[3686] = 0 - vX_[2770];
+ vX_[2393] =
+ vX_[3644] + vX_[2393] * vX_[165] + vX_[1917] * vX_[251] * 2. + vX_[8513] * vX_[2019] + vX_[8516] * vX_[1860];
+ vX_[1917] = 0 - vX_[2393];
+ vX_[3333] = vX_[909] + vX_[1740] * vX_[165] + vX_[3333] * vX_[251] + vX_[8513] * vX_[2017] + vX_[8518] * vX_[1860];
+ vX_[909] = 0 - vX_[3333];
+ vX_[1740] = (vX_[3686] * vX_[196] + vX_[1917] * vX_[258] + vX_[909] * vX_[267]) * 1 / vX_[232];
+ vX_[3686] = vX_[8514] * vX_[1114] + vX_[8130] * vX_[245] + vX_[7718] * vX_[233] + vX_[3686] * vX_[261] + vX_[1740];
+ vX_[2772] = vX_[8705] + vX_[9025] * vX_[236] + vX_[2772] * vX_[165] * 2. + vX_[8507] * vX_[2017];
+ vX_[7310] = 0 - vX_[7310];
+ vX_[2774] = 0 - (0 - (vX_[3442] * vX_[249] + vX_[2774] * vX_[247]) + vX_[618] * vX_[251] + vX_[7301] * vX_[165] +
+ vX_[2766] * vX_[236] + vX_[8507] * vX_[1852]);
+ vX_[2766] = 0 - vX_[3221];
+ vX_[3442] = 0 - vX_[2772];
+ vX_[8130] = (vX_[7310] * vX_[244] + vX_[2774] * vX_[206] + vX_[8130] * vX_[196] + vX_[2766] * vX_[258] +
+ vX_[3442] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[7310] = vX_[8511] * vX_[1114] + vX_[7310] * vX_[245] + vX_[8130];
+ vX_[7301] = vX_[3686] * vX_[195] + vX_[7310] * vX_[186];
+ vX_[618] = vX_[3686] * vX_[186] + vX_[7310] * vX_[166];
+ vX_[8705] = vX_[2772] * vX_[186] + vX_[3333] * vX_[195];
+ vX_[3644] = vX_[2772] * vX_[166] + vX_[3333] * vX_[186];
+ vX_[9048] =
+ vX_[1684] + vX_[9048] * vX_[236] + vX_[7121] * vX_[251] * 2. + vX_[8479] * vX_[2017] + vX_[8518] * vX_[1852];
+ vX_[1684] = vX_[2393] - vX_[9048];
+ vX_[2360] = 0 - (vX_[2360] + vX_[7862] * vX_[236] + vX_[2377] * vX_[251] + vX_[8479] * vX_[1852]);
+ vX_[2370] =
+ 0 - (vX_[2370] + vX_[1943] * vX_[236] + vX_[9025] * vX_[251] + vX_[8479] * vX_[2019] + vX_[8516] * vX_[1852]);
+ vX_[9048] = 0 - vX_[9048];
+ vX_[7718] =
+ (vX_[2360] * vX_[206] + vX_[7718] * vX_[196] + vX_[2370] * vX_[258] + vX_[9048] * vX_[267]) * 1 / vX_[232];
+ vX_[2360] = 0 - vX_[3221] + vX_[8512] * vX_[1114] + vX_[2774] * vX_[245] + vX_[2360] * vX_[233] + vX_[7718];
+ vX_[7121] = vX_[7121] + vX_[8518] * vX_[2017];
+ vX_[5104] = vX_[5104] + vX_[8516] * vX_[2019];
+ vX_[2774] = 0 - vX_[5104];
+ vX_[9025] = vX_[9025] + vX_[8516] * vX_[2017] + vX_[8518] * vX_[2019];
+ vX_[1943] = 0 - vX_[9025];
+ vX_[8479] = (vX_[2774] * vX_[258] + vX_[1943] * vX_[267]) * 1 / vX_[232];
+ vX_[7862] = 0 - vX_[7121];
+ vX_[2377] = vX_[7862] * vX_[267] * 1 / vX_[232];
+ vX_[7718] = 0 - vX_[8511] * vX_[1772] - vX_[8512] * vX_[3822] - vX_[8514] * vX_[1086] - vX_[8515] * vX_[4089] +
+ vX_[8515] * vX_[1114] - vX_[8517] * vX_[1092] - vX_[8519] * vX_[1652] - vX_[8130] * vX_[245] -
+ vX_[7718] * vX_[233] - vX_[1740] * vX_[261] - vX_[8479] * vX_[525] - vX_[2377] * vX_[534];
+ vX_[8130] = 0 - vX_[7121] + vX_[7718];
+ vX_[2377] = vX_[8519] * vX_[1114] + vX_[3442] * vX_[245] + vX_[9048] * vX_[233] + vX_[909] * vX_[261] +
+ vX_[1943] * vX_[525] + vX_[7862] * vX_[534] + vX_[2377];
+ vX_[8479] = vX_[8517] * vX_[1114] + vX_[2766] * vX_[245] + vX_[2370] * vX_[233] + vX_[1917] * vX_[261] +
+ vX_[2774] * vX_[525] + vX_[8479];
+ vX_[2774] = vX_[8130] * vX_[186] + vX_[2377] * vX_[195];
+ vX_[2370] = vX_[8130] * vX_[166] + vX_[2377] * vX_[186];
+ vX_[2766] = vX_[2774] * vX_[166] + vX_[2370] * vX_[186];
+ vX_[1917] = vX_[7121] + vX_[2774] * vX_[186];
+ vX_[8517] = vX_[7121] + vX_[2370] * vX_[166];
+ vX_[7718] = vX_[5104] + vX_[7121] + vX_[7718] - vX_[1917] - vX_[8517];
+ vX_[5104] = 0 - vX_[7718];
+ vX_[7121] = (vX_[3221] * vX_[186] + vX_[2393] * vX_[195]) * -1;
+ vX_[7862] = vX_[7121] + vX_[5104] * vX_[197];
+ vX_[1943] = 0 - vX_[7862];
+ vX_[7121] = 0 - (vX_[1684] * vX_[166] + vX_[2360] * vX_[186]) + vX_[7121];
+ vX_[9048] = (vX_[3221] * vX_[166] + vX_[2393] * vX_[186]) * -1;
+ vX_[3442] = vX_[9048] + vX_[7718] * vX_[202];
+ vX_[909] = 0 - vX_[3442];
+ vX_[8519] = 0 - (vX_[9025] * vX_[166] + vX_[8479] * vX_[186]) + vX_[9025] * vX_[195] * -1 * 2.;
+ vX_[1740] = 0 - vX_[8519];
+ vX_[8515] = vX_[9025] * vX_[186] + vX_[8479] * vX_[195] + vX_[9025] * vX_[186] * -1 * 2.;
+ vX_[8514] = 0 - vX_[8515];
+ vX_[8554] = vX_[8554] * vX_[2025];
+ vX_[8553] = vX_[8553] * vX_[2025] + vX_[8547] * vX_[1219];
+ vX_[8547] = 0 - vX_[8553];
+ vX_[8548] = vX_[8548] * vX_[1219];
+ vX_[8573] = vX_[8546] * vX_[2013] + vX_[8573] * vX_[2018];
+ vX_[8546] = vX_[8566] * x_in[31];
+ vX_[8512] = vX_[8566] * x_in[32];
+ vX_[8511] = 0 - vX_[8512] - vX_[8546];
+ vX_[2932] = 0 - vX_[8563];
+ vX_[2394] = vX_[2932] * x_in[19] + vX_[8639] * x_in[20];
+ vX_[8574] = vX_[8574] * vX_[1252];
+ vX_[8138] = vX_[2394] + vX_[8574];
+ vX_[7339] = 0 - vX_[8517];
+ vX_[9048] = vX_[1684] * vX_[186] + vX_[2360] * vX_[195] + vX_[9048];
+ vX_[8094] = 0 - vX_[2766];
+ vX_[7336] = 0 - vX_[8517];
+ vX_[8114] = 0 - vX_[8554] - vX_[8548];
+ vX_[466] = 0 - vX_[8573];
+ vX_[8145] = 0 - vX_[2394] - vX_[8574];
+ jac[502] =
+ 0 -
+ (vX_[8507] * vX_[803] + vX_[8513] * vX_[1982] + vX_[8503] * vX_[2014] + vX_[8518] * vX_[1297] +
+ vX_[1763] * vX_[242] + vX_[7916] * vX_[240] + vX_[2402] * vX_[241] + vX_[7353] * vX_[211] +
+ vX_[3221] * vX_[199] + vX_[3686] * vX_[188] + vX_[2772] * vX_[265] + vX_[2393] * vX_[254] +
+ vX_[7310] * vX_[194] + vX_[3333] * vX_[266] + vX_[7301] * vX_[193] + vX_[618] * vX_[187] +
+ vX_[8705] * vX_[192] + vX_[3644] * vX_[185] + vX_[1684] * vX_[204] + vX_[2360] * vX_[200] +
+ vX_[8130] * vX_[230] + vX_[2377] * vX_[228] + vX_[9025] * vX_[578] + vX_[9025] * vX_[255] +
+ vX_[8479] * vX_[257] + vX_[2774] * vX_[182] + vX_[2370] * vX_[227] +
+ (vX_[2766] * vX_[203] + vX_[5104] * vX_[213] + vX_[1917] * vX_[198] + vX_[1943] * vX_[209] +
+ (vX_[7121] + vX_[1917] * vX_[197]) * 4.027 + vX_[909] * vX_[211] + vX_[1740] * vX_[193] +
+ vX_[8514] * vX_[192] + vX_[2766] * vX_[180] + vX_[1917] * vX_[229]) *
+ -0.08 +
+ vX_[3231] * vX_[3339] + vX_[2414] * vX_[806] + vX_[8804] * vX_[4087] + vX_[1682] * vX_[3807] +
+ (vX_[8516] * vX_[803] + vX_[3231] * vX_[824]) * -0.08 + vX_[6276] * vX_[235] + vX_[6912] * vX_[235] -
+ vX_[8554] * vX_[167] + vX_[8555] * 0.35 + vX_[8922] * vX_[1326] + vX_[2420] * vX_[1324] +
+ vX_[8806] * vX_[1098] + vX_[1562] * vX_[1095] + vX_[6808] * vX_[1270] + vX_[6904] * vX_[235] +
+ vX_[8547] * vX_[169] + vX_[4005] * vX_[1335] + vX_[6921] * vX_[1331] + vX_[493] * vX_[1107] +
+ vX_[477] * vX_[1096] + vX_[1824] * vX_[1272] + vX_[504] * vX_[163] + vX_[6281] * vX_[235] -
+ vX_[8548] * vX_[167] + vX_[8550] * vX_[1137] + vX_[6938] * vX_[1135] + vX_[8549] * vX_[1285] +
+ vX_[3598] * vX_[1283] + vX_[8573] * vX_[167] * -0.33 + vX_[6926] * vX_[1187] + vX_[2400] * vX_[1185] +
+ vX_[7645] * vX_[1205] + vX_[8624] * vX_[1221] + vX_[7102] * vX_[1166] + vX_[6908] * vX_[1218] +
+ vX_[6883] * vX_[1160] + vX_[6888] * vX_[1172] + vX_[3207] * vX_[1162] + vX_[9128] * vX_[1170] +
+ vX_[2371] * vX_[1168] + (0 - vX_[8546]) * 0.35 + vX_[8511] * vX_[169] * 0.33 + vX_[2358] * vX_[1256] +
+ vX_[7071] * vX_[1254] + vX_[6935] * vX_[1249] + vX_[7380] * vX_[1203] + vX_[8138] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[8507] * vX_[1982] + vX_[8503] * vX_[1297] + vX_[1763] * vX_[240] + vX_[2402] * vX_[211] +
+ vX_[7353] * vX_[239] + vX_[3221] * vX_[254] + vX_[2772] * vX_[266] + vX_[7310] * vX_[188] +
+ vX_[7301] * vX_[192] + vX_[618] * vX_[185] + vX_[1684] * vX_[200] + vX_[8130] * vX_[228] +
+ vX_[9025] * vX_[257] + vX_[2774] * vX_[227] + vX_[2370] * vX_[224] + vX_[2414] * vX_[3339] +
+ vX_[1682] * vX_[4087] - (vX_[8513] * vX_[803] + vX_[3231] * vX_[806]) +
+ (vX_[8516] * vX_[1982] +
+ (vX_[7718] * vX_[212] + vX_[7339] * vX_[203] + vX_[7862] * vX_[211] + vX_[3442] * vX_[210] +
+ (0 - (vX_[9048] + vX_[2766] * vX_[197] + vX_[7339] * vX_[202])) * 4.027 + vX_[8519] * vX_[187] +
+ vX_[8515] * vX_[185] + vX_[8094] * vX_[189] + vX_[7336] * vX_[223]) *
+ -1 +
+ vX_[2414] * vX_[824]) *
+ -0.08 -
+ (vX_[8518] * vX_[2014] + vX_[7916] * vX_[242] + vX_[3686] * vX_[194] + vX_[2393] * vX_[199] +
+ vX_[3333] * vX_[265] + vX_[8705] * vX_[193] + vX_[3644] * vX_[187] + vX_[2360] * vX_[204] +
+ vX_[2377] * vX_[230] + vX_[9025] * vX_[256] + vX_[8479] * vX_[255] + vX_[8804] * vX_[3807]) +
+ vX_[2391] * vX_[163] + vX_[448] * vX_[163] + vX_[8570] * vX_[1320] + vX_[8538] * vX_[1091] +
+ vX_[8922] * vX_[1327] + vX_[8920] * vX_[1323] + vX_[8806] * vX_[1099] + vX_[8247] * vX_[1096] +
+ vX_[1931] * vX_[1272] + vX_[8177] * vX_[163] + vX_[8553] * vX_[167] + vX_[4005] * vX_[1334] +
+ vX_[6921] * vX_[1332] + vX_[8775] * vX_[1106] + vX_[477] * vX_[1104] + vX_[8522] * vX_[1276] +
+ vX_[8535] * vX_[163] + vX_[8536] * vX_[235] + vX_[8114] * vX_[169] + vX_[8656] * vX_[1133] +
+ vX_[2807] * vX_[1281] + (0 - vX_[8573]) * 0.35 + vX_[466] * vX_[169] * 0.33 + vX_[2399] * vX_[1183] +
+ vX_[7864] * vX_[1201] + vX_[8541] * vX_[1223] + vX_[7348] * vX_[1213] + vX_[2385] * vX_[1168] +
+ vX_[6519] * vX_[1216] + vX_[6890] * vX_[1174] + vX_[6886] * vX_[1164] + vX_[6874] * vX_[1160] +
+ vX_[8752] * vX_[1166] + vX_[8512] * vX_[167] * 0.33 + vX_[8546] * vX_[167] * 0.33 + vX_[2804] * vX_[1178] +
+ vX_[3199] * vX_[1247] + (0 - vX_[2394] - vX_[8574]) * 0.35 + vX_[8145] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[6469] = vX_[41] + vX_[6469] * vX_[235] + vX_[6471] * vX_[249];
+ vX_[6467] = vX_[41] + vX_[7030] * vX_[249] + vX_[6467] * vX_[247];
+ vX_[2957] = vX_[9209] + vX_[1853] + vX_[41] - vX_[6469] - vX_[6467] + vX_[8543] * vX_[236] + vX_[2957] * vX_[165];
+ vX_[6467] = vX_[6467] + vX_[3212] * vX_[165] + vX_[1251] * vX_[251] + vX_[1037] * vX_[1860];
+ vX_[3212] = vX_[2957] - vX_[6467];
+ vX_[6090] = vX_[3188] * vX_[235] + vX_[6090] * vX_[249] + vX_[8523] * vX_[251] + vX_[2529] * vX_[236] +
+ vX_[1193] * vX_[165] + vX_[892] * vX_[1860];
+ vX_[1193] = vX_[3212] * vX_[186] + vX_[6090] * vX_[195];
+ vX_[2529] = vX_[3212] * vX_[166] + vX_[6090] * vX_[186];
+ vX_[4459] = vX_[8559] + vX_[4459] * vX_[165] + vX_[1342] * vX_[236] * 2. + vX_[892] * vX_[2019];
+ vX_[8559] = 0 - vX_[6090];
+ vX_[3192] = 0 - (vX_[7030] * vX_[235] + vX_[6471] * vX_[247] + vX_[6464] * vX_[249] + vX_[8567] * vX_[165] +
+ vX_[3192] * vX_[236] + vX_[2378] * vX_[251] + vX_[997] * vX_[1860] + vX_[1037] * vX_[1852]);
+ vX_[6464] = 0 - vX_[6467];
+ vX_[4222] =
+ vX_[2794] + vX_[4222] * vX_[165] + vX_[6490] * vX_[251] * 2. + vX_[1037] * vX_[2019] + vX_[8932] * vX_[1860];
+ vX_[6490] = 0 - vX_[4222];
+ vX_[6507] = vX_[2935] + vX_[8377] * vX_[165] + vX_[6507] * vX_[251] + vX_[1037] * vX_[2017] + vX_[8936] * vX_[1860];
+ vX_[2935] = 0 - vX_[6507];
+ vX_[8377] = (vX_[6464] * vX_[196] + vX_[6490] * vX_[258] + vX_[2935] * vX_[267]) * 1 / vX_[232];
+ vX_[6464] = vX_[1003] * vX_[1114] + vX_[8559] * vX_[245] + vX_[3192] * vX_[233] + vX_[6464] * vX_[261] + vX_[8377];
+ vX_[7521] = vX_[6431] + vX_[4248] * vX_[236] + vX_[7521] * vX_[165] * 2. + vX_[892] * vX_[2017];
+ vX_[2957] = 0 - vX_[2957];
+ vX_[6489] = 0 - (0 - (vX_[3188] * vX_[249] + vX_[6489] * vX_[247]) + vX_[946] * vX_[251] + vX_[5852] * vX_[165] +
+ vX_[4434] * vX_[236] + vX_[892] * vX_[1852]);
+ vX_[4434] = 0 - vX_[4459];
+ vX_[3188] = 0 - vX_[7521];
+ vX_[8559] = (vX_[2957] * vX_[244] + vX_[6489] * vX_[206] + vX_[8559] * vX_[196] + vX_[4434] * vX_[258] +
+ vX_[3188] * vX_[267]) *
+ 1 / vX_[232];
+ vX_[2957] = vX_[1034] * vX_[1114] + vX_[2957] * vX_[245] + vX_[8559];
+ vX_[244] = vX_[6464] * vX_[195] + vX_[2957] * vX_[186];
+ vX_[5852] = vX_[6464] * vX_[186] + vX_[2957] * vX_[166];
+ vX_[946] = vX_[7521] * vX_[186] + vX_[6507] * vX_[195];
+ vX_[165] = vX_[7521] * vX_[166] + vX_[6507] * vX_[186];
+ vX_[2927] =
+ vX_[6501] + vX_[2927] * vX_[236] + vX_[7549] * vX_[251] * 2. + vX_[997] * vX_[2017] + vX_[8936] * vX_[1852];
+ vX_[6501] = vX_[4222] - vX_[2927];
+ vX_[6469] = 0 - (vX_[6469] + vX_[2369] * vX_[236] + vX_[8345] * vX_[251] + vX_[997] * vX_[1852]);
+ vX_[8303] =
+ 0 - (vX_[8303] + vX_[7961] * vX_[236] + vX_[4248] * vX_[251] + vX_[997] * vX_[2019] + vX_[8932] * vX_[1852]);
+ vX_[2927] = 0 - vX_[2927];
+ vX_[3192] =
+ (vX_[6469] * vX_[206] + vX_[3192] * vX_[196] + vX_[8303] * vX_[258] + vX_[2927] * vX_[267]) * 1 / vX_[232];
+ vX_[6469] = 0 - vX_[4459] + vX_[1041] * vX_[1114] + vX_[6489] * vX_[245] + vX_[6469] * vX_[233] + vX_[3192];
+ vX_[7549] = vX_[7549] + vX_[8936] * vX_[2017];
+ vX_[1342] = vX_[1342] + vX_[8932] * vX_[2019];
+ vX_[6489] = 0 - vX_[1342];
+ vX_[4248] = vX_[4248] + vX_[8932] * vX_[2017] + vX_[8936] * vX_[2019];
+ vX_[2017] = 0 - vX_[4248];
+ vX_[258] = (vX_[6489] * vX_[258] + vX_[2017] * vX_[267]) * 1 / vX_[232];
+ vX_[2019] = 0 - vX_[7549];
+ vX_[267] = vX_[2019] * vX_[267] * 1 / vX_[232];
+ vX_[3192] = 0 - vX_[1034] * vX_[1772] - vX_[1041] * vX_[3822] - vX_[1003] * vX_[1086] - vX_[8908] * vX_[4089] +
+ vX_[8908] * vX_[1114] - vX_[1033] * vX_[1092] - vX_[8939] * vX_[1652] - vX_[8559] * vX_[245] -
+ vX_[3192] * vX_[233] - vX_[8377] * vX_[261] - vX_[258] * vX_[525] - vX_[267] * vX_[534];
+ vX_[8559] = 0 - vX_[7549] + vX_[3192];
+ vX_[267] = vX_[8939] * vX_[1114] + vX_[3188] * vX_[245] + vX_[2927] * vX_[233] + vX_[2935] * vX_[261] +
+ vX_[2017] * vX_[525] + vX_[2019] * vX_[534] + vX_[267];
+ vX_[258] = vX_[1033] * vX_[1114] + vX_[4434] * vX_[245] + vX_[8303] * vX_[233] + vX_[6490] * vX_[261] +
+ vX_[6489] * vX_[525] + vX_[258];
+ vX_[6489] = vX_[8559] * vX_[186] + vX_[267] * vX_[195];
+ vX_[8303] = vX_[8559] * vX_[166] + vX_[267] * vX_[186];
+ vX_[4434] = vX_[6489] * vX_[166] + vX_[8303] * vX_[186];
+ vX_[6490] = vX_[7549] + vX_[6489] * vX_[186];
+ vX_[1114] = vX_[7549] + vX_[8303] * vX_[166];
+ vX_[3192] = vX_[1342] + vX_[7549] + vX_[3192] - vX_[6490] - vX_[1114];
+ vX_[1342] = 0 - vX_[3192];
+ vX_[7549] = (vX_[4459] * vX_[186] + vX_[4222] * vX_[195]) * -1;
+ vX_[1033] = vX_[7549] + vX_[1342] * vX_[197];
+ vX_[525] = 0 - vX_[1033];
+ vX_[7549] = 0 - (vX_[6501] * vX_[166] + vX_[6469] * vX_[186]) + vX_[7549];
+ vX_[261] = (vX_[4459] * vX_[166] + vX_[4222] * vX_[186]) * -1;
+ vX_[245] = vX_[261] + vX_[3192] * vX_[202];
+ vX_[233] = 0 - vX_[245];
+ vX_[2019] = 0 - (vX_[4248] * vX_[166] + vX_[258] * vX_[186]) + vX_[4248] * vX_[195] * -1 * 2.;
+ vX_[2017] = 0 - vX_[2019];
+ vX_[2927] = vX_[4248] * vX_[186] + vX_[258] * vX_[195] + vX_[4248] * vX_[186] * -1 * 2.;
+ vX_[3188] = 0 - vX_[2927];
+ vX_[8974] = vX_[8974] * vX_[2025];
+ vX_[2025] = vX_[8973] * vX_[2025] + vX_[8967] * vX_[1219];
+ vX_[8973] = 0 - vX_[2025];
+ vX_[1219] = vX_[8968] * vX_[1219];
+ vX_[2018] = vX_[8966] * vX_[2013] + vX_[8993] * vX_[2018];
+ vX_[2013] = vX_[1294] * x_in[31];
+ vX_[8993] = vX_[1294] * x_in[32];
+ vX_[8966] = 0 - vX_[8993] - vX_[2013];
+ vX_[8968] = 0 - vX_[8983];
+ vX_[8967] = vX_[8968] * x_in[19] + vX_[1209] * x_in[20];
+ vX_[8994] = vX_[8994] * vX_[1252];
+ vX_[1252] = vX_[8967] + vX_[8994];
+ vX_[2935] = 0 - vX_[1114];
+ vX_[261] = vX_[6501] * vX_[186] + vX_[6469] * vX_[195] + vX_[261];
+ vX_[8939] = 0 - vX_[4434];
+ vX_[534] = 0 - vX_[1114];
+ vX_[8377] = 0 - vX_[8974] - vX_[1219];
+ vX_[4089] = 0 - vX_[2018];
+ vX_[1772] = 0 - vX_[8967] - vX_[8994];
+ jac[503] =
+ 0 -
+ (vX_[892] * vX_[803] + vX_[1037] * vX_[1982] + vX_[8935] * vX_[2014] + vX_[8936] * vX_[1297] +
+ vX_[3212] * vX_[242] + vX_[6090] * vX_[240] + vX_[1193] * vX_[241] + vX_[2529] * vX_[211] +
+ vX_[4459] * vX_[199] + vX_[6464] * vX_[188] + vX_[7521] * vX_[265] + vX_[4222] * vX_[254] +
+ vX_[2957] * vX_[194] + vX_[6507] * vX_[266] + vX_[244] * vX_[193] + vX_[5852] * vX_[187] +
+ vX_[946] * vX_[192] + vX_[165] * vX_[185] + vX_[6501] * vX_[204] + vX_[6469] * vX_[200] +
+ vX_[8559] * vX_[230] + vX_[267] * vX_[228] + vX_[4248] * vX_[578] + vX_[4248] * vX_[255] +
+ vX_[258] * vX_[257] + vX_[6489] * vX_[182] + vX_[8303] * vX_[227] +
+ (vX_[4434] * vX_[203] + vX_[1342] * vX_[213] + vX_[6490] * vX_[198] + vX_[525] * vX_[209] +
+ (vX_[7549] + vX_[6490] * vX_[197]) * 4.027 + vX_[233] * vX_[211] + vX_[2017] * vX_[193] +
+ vX_[3188] * vX_[192] + vX_[4434] * vX_[180] + vX_[6490] * vX_[229]) *
+ -0.08 +
+ vX_[3187] * vX_[3339] + vX_[1069] * vX_[806] + vX_[3227] * vX_[4087] + vX_[6274] * vX_[3807] +
+ (vX_[8932] * vX_[803] + vX_[3187] * vX_[824]) * -0.08 + vX_[1119] * vX_[235] + vX_[1214] * vX_[235] -
+ vX_[8974] * vX_[167] + vX_[8975] * 0.35 + vX_[1198] * vX_[1326] + vX_[922] * vX_[1324] +
+ vX_[526] * vX_[1098] + vX_[1077] * vX_[1095] + vX_[6272] * vX_[1270] + vX_[928] * vX_[235] +
+ vX_[8973] * vX_[169] + vX_[1192] * vX_[1335] + vX_[1295] * vX_[1331] + vX_[1735] * vX_[1107] +
+ vX_[968] * vX_[1096] + vX_[2363] * vX_[1272] + vX_[7436] * vX_[163] + vX_[6455] * vX_[235] -
+ vX_[1219] * vX_[167] + vX_[8970] * vX_[1137] + vX_[789] * vX_[1135] + vX_[8969] * vX_[1285] +
+ vX_[2925] * vX_[1283] + vX_[2018] * vX_[167] * -0.33 + vX_[1195] * vX_[1187] + vX_[963] * vX_[1185] +
+ vX_[6776] * vX_[1205] + vX_[6264] * vX_[1221] + vX_[1225] * vX_[1166] + vX_[3362] * vX_[1218] +
+ vX_[6530] * vX_[1160] + vX_[6015] * vX_[1172] + vX_[6182] * vX_[1162] + vX_[1653] * vX_[1170] +
+ vX_[2915] * vX_[1168] + (0 - vX_[2013]) * 0.35 + vX_[8966] * vX_[169] * 0.33 + vX_[1176] * vX_[1256] +
+ vX_[222] * vX_[1254] + vX_[5829] * vX_[1249] + vX_[3591] * vX_[1203] + vX_[1252] * vX_[167] * -0.33) *
+ vX_[1563] +
+ (vX_[892] * vX_[1982] + vX_[8935] * vX_[1297] + vX_[3212] * vX_[240] + vX_[1193] * vX_[211] +
+ vX_[2529] * vX_[239] + vX_[4459] * vX_[254] + vX_[7521] * vX_[266] + vX_[2957] * vX_[188] +
+ vX_[244] * vX_[192] + vX_[5852] * vX_[185] + vX_[6501] * vX_[200] + vX_[8559] * vX_[228] +
+ vX_[4248] * vX_[257] + vX_[6489] * vX_[227] + vX_[8303] * vX_[224] + vX_[1069] * vX_[3339] +
+ vX_[6274] * vX_[4087] - (vX_[1037] * vX_[803] + vX_[3187] * vX_[806]) +
+ (vX_[8932] * vX_[1982] +
+ (vX_[3192] * vX_[212] + vX_[2935] * vX_[203] + vX_[1033] * vX_[211] + vX_[245] * vX_[210] +
+ (0 - (vX_[261] + vX_[4434] * vX_[197] + vX_[2935] * vX_[202])) * 4.027 + vX_[2019] * vX_[187] +
+ vX_[2927] * vX_[185] + vX_[8939] * vX_[189] + vX_[534] * vX_[223]) *
+ -1 +
+ vX_[1069] * vX_[824]) *
+ -0.08 -
+ (vX_[8936] * vX_[2014] + vX_[6090] * vX_[242] + vX_[6464] * vX_[194] + vX_[4222] * vX_[199] +
+ vX_[6507] * vX_[265] + vX_[946] * vX_[193] + vX_[165] * vX_[187] + vX_[6469] * vX_[204] +
+ vX_[267] * vX_[230] + vX_[4248] * vX_[256] + vX_[258] * vX_[255] + vX_[3227] * vX_[3807]) +
+ vX_[2763] * vX_[163] + vX_[3329] * vX_[163] + vX_[8990] * vX_[1320] + vX_[8958] * vX_[1091] +
+ vX_[1198] * vX_[1327] + vX_[1165] * vX_[1323] + vX_[526] * vX_[1099] + vX_[226] * vX_[1096] +
+ vX_[1971] * vX_[1272] + vX_[1465] * vX_[163] + vX_[2025] * vX_[167] + vX_[1192] * vX_[1334] +
+ vX_[1295] * vX_[1332] + vX_[6652] * vX_[1106] + vX_[968] * vX_[1104] + vX_[7498] * vX_[1276] +
+ vX_[533] * vX_[163] + vX_[8956] * vX_[235] + vX_[8377] * vX_[169] + vX_[812] * vX_[1133] +
+ vX_[8955] * vX_[1281] + (0 - vX_[2018]) * 0.35 + vX_[4089] * vX_[169] * 0.33 + vX_[8942] * vX_[1183] +
+ vX_[3211] * vX_[1201] + vX_[8961] * vX_[1223] + vX_[2530] * vX_[1213] + vX_[1930] * vX_[1168] +
+ vX_[6002] * vX_[1216] + vX_[5955] * vX_[1174] + vX_[6229] * vX_[1164] + vX_[3596] * vX_[1160] +
+ vX_[1199] * vX_[1166] + vX_[8993] * vX_[167] * 0.33 + vX_[2013] * vX_[167] * 0.33 + vX_[7052] * vX_[1178] +
+ vX_[5827] * vX_[1247] + (0 - vX_[8967] - vX_[8994]) * 0.35 + vX_[1772] * vX_[169] * 0.33) *
+ vX_[6502];
+ vX_[1455] = vX_[1646] + vX_[1508] * vX_[186] + vX_[1455] * vX_[197] + vX_[1067] * vX_[1129];
+ vX_[1109] = vX_[1646] + vX_[391] * vX_[166] + vX_[1109] * vX_[202] + vX_[1068] * vX_[1969];
+ vX_[1646] = vX_[1455] - vX_[1109];
+ vX_[9018] = vX_[1508] * vX_[166] + vX_[391] * vX_[186] + vX_[1487] * vX_[202] + vX_[9018] * vX_[197] +
+ vX_[1067] * vX_[1969] + vX_[1068] * vX_[1129];
+ vX_[1487] = vX_[1646] * vX_[169] + vX_[9018] * vX_[175];
+ vX_[391] = vX_[1646] * vX_[167] + vX_[9018] * vX_[169];
+ vX_[1455] = 0 - vX_[1455];
+ vX_[1508] = 0 - vX_[9018];
+ vX_[1055] = (vX_[1455] * vX_[190] + vX_[1508] * vX_[181] +
+ (0 - (vX_[2051] * vX_[186] + vX_[2050] * vX_[195] + vX_[1502] * vX_[197] + vX_[1067] * vX_[1861] +
+ vX_[1062] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[2051] * vX_[166] + vX_[2050] * vX_[186] + vX_[1055] * vX_[197] + vX_[1067] * vX_[1935] +
+ vX_[1075] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[1455] = vX_[1071] * vX_[1321] + vX_[1455] * vX_[191] + vX_[1055];
+ vX_[1109] = 0 - vX_[1109];
+ vX_[1056] = (vX_[1109] * vX_[181] +
+ (0 - (vX_[547] * vX_[186] + vX_[9038] * vX_[195] + vX_[1060] * vX_[202] + vX_[1068] * vX_[1861] +
+ vX_[1062] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[547] * vX_[166] + vX_[9038] * vX_[186] + vX_[1056] * vX_[202] + vX_[1068] * vX_[1935] +
+ vX_[1075] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[1109] = vX_[1072] * vX_[1321] + vX_[1508] * vX_[191] + vX_[1109] * vX_[184] + vX_[1056];
+ vX_[379] = vX_[9020] + vX_[1605] * vX_[197] + vX_[379] * vX_[202] * 2. + vX_[1061] * vX_[1935] - vX_[1109];
+ vX_[2039] = 0 - (vX_[1778] + vX_[2039] * vX_[202] + vX_[2048] * vX_[197] * 2. + vX_[1061] * vX_[1861]) + vX_[1455];
+ vX_[2048] = vX_[2048] + vX_[1062] * vX_[1861];
+ vX_[1058] = vX_[1058] + vX_[1075] * vX_[1935];
+ vX_[1778] = vX_[2048] - vX_[1058];
+ vX_[1605] = vX_[1605] + vX_[1062] * vX_[1935] + vX_[1075] * vX_[1861];
+ vX_[1061] = vX_[1778] * vX_[169] + vX_[1605] * vX_[175];
+ vX_[9020] = vX_[1778] * vX_[167] + vX_[1605] * vX_[169];
+ vX_[1508] = vX_[1061] * vX_[167] + vX_[9020] * vX_[169];
+ vX_[1060] = vX_[1058] + vX_[1061] * vX_[169];
+ vX_[9038] = vX_[1058] + vX_[9020] * vX_[167];
+ vX_[1058] = vX_[2048] + vX_[1058] + 0 - vX_[1071] * vX_[2020] - vX_[1072] * vX_[1293] - vX_[1073] * vX_[1262] +
+ vX_[1073] * vX_[1321] - vX_[1074] * vX_[1082] - vX_[1076] * vX_[1138] - vX_[1055] * vX_[191] -
+ vX_[1056] * vX_[184] -
+ ((0 - vX_[2048]) * 2.1e-05 + (0 - vX_[1605]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[1058]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[1060] - vX_[9038];
+ vX_[2048] = 0 - vX_[1058];
+ vX_[1056] = vX_[1455] * vX_[169] + vX_[1109] * vX_[175];
+ vX_[1055] = vX_[1056] + vX_[2048] * vX_[170];
+ vX_[1076] = vX_[1455] * vX_[167] + vX_[1109] * vX_[169];
+ vX_[1074] = vX_[1076] + vX_[1058] * vX_[168];
+ vX_[1073] = sin(x_in[14]);
+ vX_[1072] = 0 - vX_[9038];
+ vX_[1071] = cos(x_in[14]);
+ jac[522] =
+ 0 -
+ (vX_[1067] * vX_[2920] + vX_[1068] * vX_[1111] + vX_[1062] * vX_[1329] + vX_[1075] * vX_[1337] +
+ vX_[1646] * vX_[208] + vX_[9018] * vX_[207] + vX_[1487] * -0.463218197356862 +
+ vX_[391] * -0.00370574557885489 + vX_[1455] * vX_[174] + vX_[1109] * vX_[179] + vX_[379] * vX_[178] +
+ vX_[2039] * vX_[173] + vX_[1778] * vX_[219] + vX_[1605] * vX_[218] + vX_[1061] * vX_[215] +
+ vX_[9020] * vX_[217] +
+ (vX_[1508] * vX_[177] + vX_[2048] * vX_[171] + vX_[1060] * vX_[172] + (0 - vX_[1055]) * 0.417781802643138 +
+ (0 - (vX_[379] * vX_[167] + vX_[2039] * vX_[169]) + vX_[1056] + vX_[1060] * vX_[170]) * 0.881 +
+ (0 - vX_[1074]) * -0.00370574557885489 + vX_[1508] * -0.000881 + vX_[1060] * -0.22025) *
+ -0.35 +
+ vX_[1464] * vX_[797] + vX_[9046] * vX_[2924] + vX_[1602] * vX_[775] + vX_[1089] * vX_[1018] +
+ (vX_[1070] * vX_[2920] + vX_[1464] * vX_[816]) * 0.35 + vX_[1315] * vX_[1316] + vX_[1479] * vX_[1087] +
+ vX_[1322] * vX_[1328] + vX_[1094] * vX_[1100] + vX_[1269] * vX_[1273] + vX_[1112] * vX_[1115] +
+ vX_[1421] * vX_[1081] + vX_[1125] * vX_[186] + vX_[1330] * vX_[1336] + vX_[1103] * vX_[1108] +
+ vX_[9023] * vX_[1278] + vX_[4932] * vX_[1113] + vX_[1427] * vX_[1290] + vX_[8331] * vX_[166] +
+ vX_[1078] * vX_[1136] + vX_[1418] * vX_[1284] + vX_[4549] * vX_[1123] + vX_[1510] * vX_[1186] +
+ vX_[295] * vX_[1204] + vX_[1093] * vX_[1224] + vX_[420] * vX_[1211] + vX_[337] * vX_[1215] +
+ vX_[335] * vX_[1175] + vX_[326] * vX_[1161] + vX_[1583] * vX_[1169] + vX_[1048] * vX_[1197] +
+ vX_[1496] * vX_[1255] + vX_[294] * vX_[1204] + vX_[8369] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[1067] * vX_[1111] + vX_[1062] * vX_[1337] + vX_[1646] * vX_[207] + vX_[1487] * -0.00370574557885489 +
+ vX_[391] * -2.96459646308422e-05 + vX_[1455] * vX_[179] + vX_[379] * vX_[173] + vX_[1778] * vX_[218] +
+ vX_[1061] * vX_[217] + vX_[9020] * vX_[216] + vX_[9046] * vX_[797] + vX_[1089] * vX_[775] -
+ (vX_[1068] * vX_[2920] + vX_[1464] * vX_[2924]) +
+ (vX_[1070] * vX_[1111] + vX_[1058] * vX_[176] + vX_[1072] * vX_[177] + vX_[1055] * -0.00370574557885489 +
+ vX_[1074] * 0.880970354035369 +
+ (0 - (vX_[379] * vX_[169] + vX_[2039] * vX_[175] + vX_[1076] + vX_[1508] * vX_[170] +
+ vX_[1072] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[1508]) * -0.110125 + (0 - vX_[9038]) * -0.001762 + vX_[9046] * vX_[816]) *
+ 0.35 -
+ (vX_[1075] * vX_[1329] + vX_[9018] * vX_[208] + vX_[1109] * vX_[174] + vX_[2039] * vX_[178] +
+ vX_[1605] * vX_[219] + vX_[1602] * vX_[1018]) +
+ vX_[1079] * vX_[1080] + vX_[1317] * vX_[1318] + vX_[1265] * vX_[1266] + vX_[1322] * vX_[1325] +
+ vX_[1094] * vX_[1097] + vX_[1269] * vX_[1271] + vX_[1638] * vX_[1113] + vX_[1287] * vX_[1288] +
+ vX_[1264] * vX_[166] + vX_[1330] * vX_[1333] + vX_[1103] * vX_[1105] + vX_[1275] * vX_[1277] +
+ vX_[1117] * vX_[1118] + vX_[1289] * vX_[1081] + vX_[1127] * vX_[1128] + vX_[1291] * vX_[1134] +
+ vX_[1280] * vX_[1282] + vX_[1338] * vX_[1122] + vX_[1515] * vX_[1184] + vX_[1393] * vX_[1202] +
+ vX_[1093] * vX_[1222] + vX_[420] * vX_[1212] + vX_[337] * vX_[1217] + vX_[335] * vX_[1173] +
+ vX_[326] * vX_[1163] + vX_[1470] * vX_[1167] + vX_[1049] * vX_[1196] + vX_[1121] * vX_[1200] +
+ vX_[2022] * vX_[1253] + vX_[291] * vX_[1248] + vX_[1368] * vX_[1177]) *
+ vX_[1071];
+ vX_[9004] = vX_[8646] + vX_[344] * vX_[186] + vX_[9004] * vX_[197] + vX_[2224] * vX_[1129];
+ vX_[9146] = vX_[8646] + vX_[317] * vX_[166] + vX_[9146] * vX_[202] + vX_[2225] * vX_[1969];
+ vX_[8646] = vX_[9004] - vX_[9146];
+ vX_[9010] = vX_[344] * vX_[166] + vX_[317] * vX_[186] + vX_[8220] * vX_[202] + vX_[9010] * vX_[197] +
+ vX_[2224] * vX_[1969] + vX_[2225] * vX_[1129];
+ vX_[8220] = vX_[8646] * vX_[169] + vX_[9010] * vX_[175];
+ vX_[317] = vX_[8646] * vX_[167] + vX_[9010] * vX_[169];
+ vX_[9004] = 0 - vX_[9004];
+ vX_[344] = 0 - vX_[9010];
+ vX_[2214] = (vX_[9004] * vX_[190] + vX_[344] * vX_[181] +
+ (0 - (vX_[8580] * vX_[186] + vX_[283] * vX_[195] + vX_[1631] * vX_[197] + vX_[2224] * vX_[1861] +
+ vX_[2221] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[8580] * vX_[166] + vX_[283] * vX_[186] + vX_[2214] * vX_[197] + vX_[2224] * vX_[1935] +
+ vX_[2231] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[9004] = vX_[2227] * vX_[1321] + vX_[9004] * vX_[191] + vX_[2214];
+ vX_[9146] = 0 - vX_[9146];
+ vX_[2215] = (vX_[9146] * vX_[181] +
+ (0 - (vX_[286] * vX_[186] + vX_[278] * vX_[195] + vX_[2219] * vX_[202] + vX_[2225] * vX_[1861] +
+ vX_[2221] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[286] * vX_[166] + vX_[278] * vX_[186] + vX_[2215] * vX_[202] + vX_[2225] * vX_[1935] +
+ vX_[2231] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[9146] = vX_[2228] * vX_[1321] + vX_[344] * vX_[191] + vX_[9146] * vX_[184] + vX_[2215];
+ vX_[1232] = vX_[9011] + vX_[7998] * vX_[197] + vX_[1232] * vX_[202] * 2. + vX_[2220] * vX_[1935] - vX_[9146];
+ vX_[1064] = 0 - (vX_[9057] + vX_[1064] * vX_[202] + vX_[301] * vX_[197] * 2. + vX_[2220] * vX_[1861]) + vX_[9004];
+ vX_[301] = vX_[301] + vX_[2221] * vX_[1861];
+ vX_[2217] = vX_[2217] + vX_[2231] * vX_[1935];
+ vX_[9057] = vX_[301] - vX_[2217];
+ vX_[7998] = vX_[7998] + vX_[2221] * vX_[1935] + vX_[2231] * vX_[1861];
+ vX_[2220] = vX_[9057] * vX_[169] + vX_[7998] * vX_[175];
+ vX_[9011] = vX_[9057] * vX_[167] + vX_[7998] * vX_[169];
+ vX_[344] = vX_[2220] * vX_[167] + vX_[9011] * vX_[169];
+ vX_[2219] = vX_[2217] + vX_[2220] * vX_[169];
+ vX_[278] = vX_[2217] + vX_[9011] * vX_[167];
+ vX_[2217] = vX_[301] + vX_[2217] + 0 - vX_[2227] * vX_[2020] - vX_[2228] * vX_[1293] - vX_[2229] * vX_[1262] +
+ vX_[2229] * vX_[1321] - vX_[2230] * vX_[1082] - vX_[2232] * vX_[1138] - vX_[2214] * vX_[191] -
+ vX_[2215] * vX_[184] -
+ ((0 - vX_[301]) * 2.1e-05 + (0 - vX_[7998]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[2217]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[2219] - vX_[278];
+ vX_[301] = 0 - vX_[2217];
+ vX_[2215] = vX_[9004] * vX_[169] + vX_[9146] * vX_[175];
+ vX_[2214] = vX_[2215] + vX_[301] * vX_[170];
+ vX_[2232] = vX_[9004] * vX_[167] + vX_[9146] * vX_[169];
+ vX_[2230] = vX_[2232] + vX_[2217] * vX_[168];
+ vX_[2229] = 0 - vX_[278];
+ jac[523] =
+ 0 -
+ (vX_[2224] * vX_[2920] + vX_[2225] * vX_[1111] + vX_[2221] * vX_[1329] + vX_[2231] * vX_[1337] +
+ vX_[8646] * vX_[208] + vX_[9010] * vX_[207] + vX_[8220] * -0.463218197356862 +
+ vX_[317] * -0.00370574557885489 + vX_[9004] * vX_[174] + vX_[9146] * vX_[179] + vX_[1232] * vX_[178] +
+ vX_[1064] * vX_[173] + vX_[9057] * vX_[219] + vX_[7998] * vX_[218] + vX_[2220] * vX_[215] +
+ vX_[9011] * vX_[217] +
+ (vX_[344] * vX_[177] + vX_[301] * vX_[171] + vX_[2219] * vX_[172] + (0 - vX_[2214]) * 0.417781802643138 +
+ (0 - (vX_[1232] * vX_[167] + vX_[1064] * vX_[169]) + vX_[2215] + vX_[2219] * vX_[170]) * 0.881 +
+ (0 - vX_[2230]) * -0.00370574557885489 + vX_[344] * -0.000881 + vX_[2219] * -0.22025) *
+ -0.35 +
+ vX_[9168] * vX_[797] + vX_[8604] * vX_[2924] + vX_[8253] * vX_[775] + vX_[2237] * vX_[1018] +
+ (vX_[2226] * vX_[2920] + vX_[9168] * vX_[816]) * 0.35 + vX_[2268] * vX_[1316] + vX_[8635] * vX_[1087] +
+ vX_[2271] * vX_[1328] + vX_[2240] * vX_[1100] + vX_[2256] * vX_[1273] + vX_[2244] * vX_[1115] +
+ vX_[8613] * vX_[1081] + vX_[2247] * vX_[186] + vX_[2272] * vX_[1336] + vX_[2242] * vX_[1108] +
+ vX_[1031] * vX_[1278] + vX_[1616] * vX_[1113] + vX_[8615] * vX_[1290] + vX_[1110] * vX_[166] +
+ vX_[2233] * vX_[1136] + vX_[8642] * vX_[1284] + vX_[9030] * vX_[1123] + vX_[8609] * vX_[1186] +
+ vX_[7743] * vX_[1204] + vX_[2239] * vX_[1224] + vX_[1156] * vX_[1211] + vX_[8603] * vX_[1215] +
+ vX_[8597] * vX_[1175] + vX_[8602] * vX_[1161] + vX_[2000] * vX_[1169] + vX_[2211] * vX_[1197] +
+ vX_[8662] * vX_[1255] + vX_[7736] * vX_[1204] + vX_[1339] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[2224] * vX_[1111] + vX_[2221] * vX_[1337] + vX_[8646] * vX_[207] + vX_[8220] * -0.00370574557885489 +
+ vX_[317] * -2.96459646308422e-05 + vX_[9004] * vX_[179] + vX_[1232] * vX_[173] + vX_[9057] * vX_[218] +
+ vX_[2220] * vX_[217] + vX_[9011] * vX_[216] + vX_[8604] * vX_[797] + vX_[2237] * vX_[775] -
+ (vX_[2225] * vX_[2920] + vX_[9168] * vX_[2924]) +
+ (vX_[2226] * vX_[1111] + vX_[2217] * vX_[176] + vX_[2229] * vX_[177] + vX_[2214] * -0.00370574557885489 +
+ vX_[2230] * 0.880970354035369 +
+ (0 - (vX_[1232] * vX_[169] + vX_[1064] * vX_[175] + vX_[2232] + vX_[344] * vX_[170] +
+ vX_[2229] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[344]) * -0.110125 + (0 - vX_[278]) * -0.001762 + vX_[8604] * vX_[816]) *
+ 0.35 -
+ (vX_[2231] * vX_[1329] + vX_[9010] * vX_[208] + vX_[9146] * vX_[174] + vX_[1064] * vX_[178] +
+ vX_[7998] * vX_[219] + vX_[8253] * vX_[1018]) +
+ vX_[2234] * vX_[1080] + vX_[2269] * vX_[1318] + vX_[2254] * vX_[1266] + vX_[2271] * vX_[1325] +
+ vX_[2240] * vX_[1097] + vX_[2256] * vX_[1271] + vX_[2754] * vX_[1113] + vX_[2260] * vX_[1288] +
+ vX_[2253] * vX_[166] + vX_[2272] * vX_[1333] + vX_[2242] * vX_[1105] + vX_[2257] * vX_[1277] +
+ vX_[2245] * vX_[1118] + vX_[2261] * vX_[1081] + vX_[2248] * vX_[1128] + vX_[2262] * vX_[1134] +
+ vX_[2258] * vX_[1282] + vX_[2273] * vX_[1122] + vX_[8633] * vX_[1184] + vX_[9083] * vX_[1202] +
+ vX_[2239] * vX_[1222] + vX_[1156] * vX_[1212] + vX_[8603] * vX_[1217] + vX_[8597] * vX_[1173] +
+ vX_[8602] * vX_[1163] + vX_[995] * vX_[1167] + vX_[2212] * vX_[1196] + vX_[2246] * vX_[1200] +
+ vX_[2449] * vX_[1253] + vX_[8160] * vX_[1248] + vX_[1313] * vX_[1177]) *
+ vX_[1071];
+ vX_[8158] = vX_[8213] + vX_[8192] * vX_[186] + vX_[8158] * vX_[197] + vX_[2624] * vX_[1129];
+ vX_[3411] = vX_[8213] + vX_[9182] * vX_[166] + vX_[3411] * vX_[202] + vX_[2625] * vX_[1969];
+ vX_[8213] = vX_[8158] - vX_[3411];
+ vX_[489] = vX_[8192] * vX_[166] + vX_[9182] * vX_[186] + vX_[1723] * vX_[202] + vX_[489] * vX_[197] +
+ vX_[2624] * vX_[1969] + vX_[2625] * vX_[1129];
+ vX_[1723] = vX_[8213] * vX_[169] + vX_[489] * vX_[175];
+ vX_[9182] = vX_[8213] * vX_[167] + vX_[489] * vX_[169];
+ vX_[8158] = 0 - vX_[8158];
+ vX_[8192] = 0 - vX_[489];
+ vX_[2614] = (vX_[8158] * vX_[190] + vX_[8192] * vX_[181] +
+ (0 - (vX_[9302] * vX_[186] + vX_[7756] * vX_[195] + vX_[8217] * vX_[197] + vX_[2624] * vX_[1861] +
+ vX_[2621] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[9302] * vX_[166] + vX_[7756] * vX_[186] + vX_[2614] * vX_[197] + vX_[2624] * vX_[1935] +
+ vX_[2631] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[8158] = vX_[2627] * vX_[1321] + vX_[8158] * vX_[191] + vX_[2614];
+ vX_[3411] = 0 - vX_[3411];
+ vX_[2615] = (vX_[3411] * vX_[181] +
+ (0 - (vX_[9063] * vX_[186] + vX_[8157] * vX_[195] + vX_[2619] * vX_[202] + vX_[2625] * vX_[1861] +
+ vX_[2621] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[9063] * vX_[166] + vX_[8157] * vX_[186] + vX_[2615] * vX_[202] + vX_[2625] * vX_[1935] +
+ vX_[2631] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[3411] = vX_[2628] * vX_[1321] + vX_[8192] * vX_[191] + vX_[3411] * vX_[184] + vX_[2615];
+ vX_[1739] = vX_[470] + vX_[9305] * vX_[197] + vX_[1739] * vX_[202] * 2. + vX_[2620] * vX_[1935] - vX_[3411];
+ vX_[2223] = 0 - (vX_[538] + vX_[2223] * vX_[202] + vX_[8198] * vX_[197] * 2. + vX_[2620] * vX_[1861]) + vX_[8158];
+ vX_[8198] = vX_[8198] + vX_[2621] * vX_[1861];
+ vX_[2617] = vX_[2617] + vX_[2631] * vX_[1935];
+ vX_[538] = vX_[8198] - vX_[2617];
+ vX_[9305] = vX_[9305] + vX_[2621] * vX_[1935] + vX_[2631] * vX_[1861];
+ vX_[2620] = vX_[538] * vX_[169] + vX_[9305] * vX_[175];
+ vX_[470] = vX_[538] * vX_[167] + vX_[9305] * vX_[169];
+ vX_[8192] = vX_[2620] * vX_[167] + vX_[470] * vX_[169];
+ vX_[2619] = vX_[2617] + vX_[2620] * vX_[169];
+ vX_[8157] = vX_[2617] + vX_[470] * vX_[167];
+ vX_[2617] = vX_[8198] + vX_[2617] + 0 - vX_[2627] * vX_[2020] - vX_[2628] * vX_[1293] - vX_[2629] * vX_[1262] +
+ vX_[2629] * vX_[1321] - vX_[2630] * vX_[1082] - vX_[2632] * vX_[1138] - vX_[2614] * vX_[191] -
+ vX_[2615] * vX_[184] -
+ ((0 - vX_[8198]) * 2.1e-05 + (0 - vX_[9305]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[2617]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[2619] - vX_[8157];
+ vX_[8198] = 0 - vX_[2617];
+ vX_[2615] = vX_[8158] * vX_[169] + vX_[3411] * vX_[175];
+ vX_[2614] = vX_[2615] + vX_[8198] * vX_[170];
+ vX_[2632] = vX_[8158] * vX_[167] + vX_[3411] * vX_[169];
+ vX_[2630] = vX_[2632] + vX_[2617] * vX_[168];
+ vX_[2629] = 0 - vX_[8157];
+ jac[524] =
+ 0 -
+ (vX_[2624] * vX_[2920] + vX_[2625] * vX_[1111] + vX_[2621] * vX_[1329] + vX_[2631] * vX_[1337] +
+ vX_[8213] * vX_[208] + vX_[489] * vX_[207] + vX_[1723] * -0.463218197356862 +
+ vX_[9182] * -0.00370574557885489 + vX_[8158] * vX_[174] + vX_[3411] * vX_[179] + vX_[1739] * vX_[178] +
+ vX_[2223] * vX_[173] + vX_[538] * vX_[219] + vX_[9305] * vX_[218] + vX_[2620] * vX_[215] +
+ vX_[470] * vX_[217] +
+ (vX_[8192] * vX_[177] + vX_[8198] * vX_[171] + vX_[2619] * vX_[172] + (0 - vX_[2614]) * 0.417781802643138 +
+ (0 - (vX_[1739] * vX_[167] + vX_[2223] * vX_[169]) + vX_[2615] + vX_[2619] * vX_[170]) * 0.881 +
+ (0 - vX_[2630]) * -0.00370574557885489 + vX_[8192] * -0.000881 + vX_[2619] * -0.22025) *
+ -0.35 +
+ vX_[9274] * vX_[797] + vX_[9257] * vX_[2924] + vX_[7748] * vX_[775] + vX_[2637] * vX_[1018] +
+ (vX_[2626] * vX_[2920] + vX_[9274] * vX_[816]) * 0.35 + vX_[2668] * vX_[1316] + vX_[9060] * vX_[1087] +
+ vX_[2671] * vX_[1328] + vX_[2640] * vX_[1100] + vX_[2656] * vX_[1273] + vX_[2644] * vX_[1115] +
+ vX_[46] * vX_[1081] + vX_[2647] * vX_[186] + vX_[2672] * vX_[1336] + vX_[2642] * vX_[1108] +
+ vX_[8002] * vX_[1278] + vX_[9161] * vX_[1113] + vX_[7799] * vX_[1290] + vX_[2243] * vX_[166] +
+ vX_[2633] * vX_[1136] + vX_[1826] * vX_[1284] + vX_[340] * vX_[1123] + vX_[3674] * vX_[1186] +
+ vX_[1787] * vX_[1204] + vX_[2639] * vX_[1224] + vX_[8687] * vX_[1211] + vX_[7779] * vX_[1215] +
+ vX_[1702] * vX_[1175] + vX_[1727] * vX_[1161] + vX_[8164] * vX_[1169] + vX_[2611] * vX_[1197] +
+ vX_[4114] * vX_[1255] + vX_[7797] * vX_[1204] + vX_[2274] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[2624] * vX_[1111] + vX_[2621] * vX_[1337] + vX_[8213] * vX_[207] + vX_[1723] * -0.00370574557885489 +
+ vX_[9182] * -2.96459646308422e-05 + vX_[8158] * vX_[179] + vX_[1739] * vX_[173] + vX_[538] * vX_[218] +
+ vX_[2620] * vX_[217] + vX_[470] * vX_[216] + vX_[9257] * vX_[797] + vX_[2637] * vX_[775] -
+ (vX_[2625] * vX_[2920] + vX_[9274] * vX_[2924]) +
+ (vX_[2626] * vX_[1111] + vX_[2617] * vX_[176] + vX_[2629] * vX_[177] + vX_[2614] * -0.00370574557885489 +
+ vX_[2630] * 0.880970354035369 +
+ (0 - (vX_[1739] * vX_[169] + vX_[2223] * vX_[175] + vX_[2632] + vX_[8192] * vX_[170] +
+ vX_[2629] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[8192]) * -0.110125 + (0 - vX_[8157]) * -0.001762 + vX_[9257] * vX_[816]) *
+ 0.35 -
+ (vX_[2631] * vX_[1329] + vX_[489] * vX_[208] + vX_[3411] * vX_[174] + vX_[2223] * vX_[178] +
+ vX_[9305] * vX_[219] + vX_[7748] * vX_[1018]) +
+ vX_[2634] * vX_[1080] + vX_[2669] * vX_[1318] + vX_[2654] * vX_[1266] + vX_[2671] * vX_[1325] +
+ vX_[2640] * vX_[1097] + vX_[2656] * vX_[1271] + vX_[9311] * vX_[1113] + vX_[2660] * vX_[1288] +
+ vX_[2653] * vX_[166] + vX_[2672] * vX_[1333] + vX_[2642] * vX_[1105] + vX_[2657] * vX_[1277] +
+ vX_[2645] * vX_[1118] + vX_[2661] * vX_[1081] + vX_[2648] * vX_[1128] + vX_[2662] * vX_[1134] +
+ vX_[2658] * vX_[1282] + vX_[2673] * vX_[1122] + vX_[1950] * vX_[1184] + vX_[7773] * vX_[1202] +
+ vX_[2639] * vX_[1222] + vX_[8687] * vX_[1212] + vX_[7779] * vX_[1217] + vX_[1702] * vX_[1173] +
+ vX_[1727] * vX_[1163] + vX_[8696] * vX_[1167] + vX_[2612] * vX_[1196] + vX_[2646] * vX_[1200] +
+ vX_[2849] * vX_[1253] + vX_[1785] * vX_[1248] + vX_[2267] * vX_[1177]) *
+ vX_[1071];
+ vX_[7769] = vX_[3643] + vX_[7757] * vX_[186] + vX_[7769] * vX_[197] + vX_[3051] * vX_[1129];
+ vX_[2808] = vX_[3643] + vX_[7782] * vX_[166] + vX_[2808] * vX_[202] + vX_[3052] * vX_[1969];
+ vX_[3643] = vX_[7769] - vX_[2808];
+ vX_[7321] = vX_[7757] * vX_[166] + vX_[7782] * vX_[186] + vX_[7094] * vX_[202] + vX_[7321] * vX_[197] +
+ vX_[3051] * vX_[1969] + vX_[3052] * vX_[1129];
+ vX_[7094] = vX_[3643] * vX_[169] + vX_[7321] * vX_[175];
+ vX_[7782] = vX_[3643] * vX_[167] + vX_[7321] * vX_[169];
+ vX_[7769] = 0 - vX_[7769];
+ vX_[7757] = 0 - vX_[7321];
+ vX_[3041] = (vX_[7769] * vX_[190] + vX_[7757] * vX_[181] +
+ (0 - (vX_[1750] * vX_[186] + vX_[7759] * vX_[195] + vX_[7794] * vX_[197] + vX_[3051] * vX_[1861] +
+ vX_[3048] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[1750] * vX_[166] + vX_[7759] * vX_[186] + vX_[3041] * vX_[197] + vX_[3051] * vX_[1935] +
+ vX_[3058] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[7769] = vX_[3054] * vX_[1321] + vX_[7769] * vX_[191] + vX_[3041];
+ vX_[2808] = 0 - vX_[2808];
+ vX_[3042] = (vX_[2808] * vX_[181] +
+ (0 - (vX_[9097] * vX_[186] + vX_[7787] * vX_[195] + vX_[3046] * vX_[202] + vX_[3052] * vX_[1861] +
+ vX_[3048] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[9097] * vX_[166] + vX_[7787] * vX_[186] + vX_[3042] * vX_[202] + vX_[3052] * vX_[1935] +
+ vX_[3058] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[2808] = vX_[3055] * vX_[1321] + vX_[7757] * vX_[191] + vX_[2808] * vX_[184] + vX_[3042];
+ vX_[8281] = vX_[2768] + vX_[7311] * vX_[197] + vX_[8281] * vX_[202] * 2. + vX_[3047] * vX_[1935] - vX_[2808];
+ vX_[2623] = 0 - (vX_[287] + vX_[2623] * vX_[202] + vX_[7749] * vX_[197] * 2. + vX_[3047] * vX_[1861]) + vX_[7769];
+ vX_[7749] = vX_[7749] + vX_[3048] * vX_[1861];
+ vX_[3044] = vX_[3044] + vX_[3058] * vX_[1935];
+ vX_[287] = vX_[7749] - vX_[3044];
+ vX_[7311] = vX_[7311] + vX_[3048] * vX_[1935] + vX_[3058] * vX_[1861];
+ vX_[3047] = vX_[287] * vX_[169] + vX_[7311] * vX_[175];
+ vX_[2768] = vX_[287] * vX_[167] + vX_[7311] * vX_[169];
+ vX_[7757] = vX_[3047] * vX_[167] + vX_[2768] * vX_[169];
+ vX_[3046] = vX_[3044] + vX_[3047] * vX_[169];
+ vX_[7787] = vX_[3044] + vX_[2768] * vX_[167];
+ vX_[3044] = vX_[7749] + vX_[3044] + 0 - vX_[3054] * vX_[2020] - vX_[3055] * vX_[1293] - vX_[3056] * vX_[1262] +
+ vX_[3056] * vX_[1321] - vX_[3057] * vX_[1082] - vX_[3059] * vX_[1138] - vX_[3041] * vX_[191] -
+ vX_[3042] * vX_[184] -
+ ((0 - vX_[7749]) * 2.1e-05 + (0 - vX_[7311]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[3044]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[3046] - vX_[7787];
+ vX_[7749] = 0 - vX_[3044];
+ vX_[3042] = vX_[7769] * vX_[169] + vX_[2808] * vX_[175];
+ vX_[3041] = vX_[3042] + vX_[7749] * vX_[170];
+ vX_[3059] = vX_[7769] * vX_[167] + vX_[2808] * vX_[169];
+ vX_[3057] = vX_[3059] + vX_[3044] * vX_[168];
+ vX_[3056] = 0 - vX_[7787];
+ jac[525] =
+ 0 -
+ (vX_[3051] * vX_[2920] + vX_[3052] * vX_[1111] + vX_[3048] * vX_[1329] + vX_[3058] * vX_[1337] +
+ vX_[3643] * vX_[208] + vX_[7321] * vX_[207] + vX_[7094] * -0.463218197356862 +
+ vX_[7782] * -0.00370574557885489 + vX_[7769] * vX_[174] + vX_[2808] * vX_[179] + vX_[8281] * vX_[178] +
+ vX_[2623] * vX_[173] + vX_[287] * vX_[219] + vX_[7311] * vX_[218] + vX_[3047] * vX_[215] +
+ vX_[2768] * vX_[217] +
+ (vX_[7757] * vX_[177] + vX_[7749] * vX_[171] + vX_[3046] * vX_[172] + (0 - vX_[3041]) * 0.417781802643138 +
+ (0 - (vX_[8281] * vX_[167] + vX_[2623] * vX_[169]) + vX_[3042] + vX_[3046] * vX_[170]) * 0.881 +
+ (0 - vX_[3057]) * -0.00370574557885489 + vX_[7757] * -0.000881 + vX_[3046] * -0.22025) *
+ -0.35 +
+ vX_[7754] * vX_[797] + vX_[7752] * vX_[2924] + vX_[7345] * vX_[775] + vX_[3064] * vX_[1018] +
+ (vX_[3053] * vX_[2920] + vX_[7754] * vX_[816]) * 0.35 + vX_[3095] * vX_[1316] + vX_[7343] * vX_[1087] +
+ vX_[3098] * vX_[1328] + vX_[3067] * vX_[1100] + vX_[3083] * vX_[1273] + vX_[3071] * vX_[1115] +
+ vX_[7366] * vX_[1081] + vX_[3074] * vX_[186] + vX_[3099] * vX_[1336] + vX_[3069] * vX_[1108] +
+ vX_[7746] * vX_[1278] + vX_[8179] * vX_[1113] + vX_[7338] * vX_[1290] + vX_[2643] * vX_[166] +
+ vX_[3060] * vX_[1136] + vX_[3331] * vX_[1284] + vX_[8191] * vX_[1123] + vX_[7495] * vX_[1186] +
+ vX_[6275] * vX_[1204] + vX_[3066] * vX_[1224] + vX_[7753] * vX_[1211] + vX_[7322] * vX_[1215] +
+ vX_[7318] * vX_[1175] + vX_[7325] * vX_[1161] + vX_[602] * vX_[1169] + vX_[3038] * vX_[1197] +
+ vX_[7337] * vX_[1255] + vX_[6850] * vX_[1204] + vX_[2674] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[3051] * vX_[1111] + vX_[3048] * vX_[1337] + vX_[3643] * vX_[207] + vX_[7094] * -0.00370574557885489 +
+ vX_[7782] * -2.96459646308422e-05 + vX_[7769] * vX_[179] + vX_[8281] * vX_[173] + vX_[287] * vX_[218] +
+ vX_[3047] * vX_[217] + vX_[2768] * vX_[216] + vX_[7752] * vX_[797] + vX_[3064] * vX_[775] -
+ (vX_[3052] * vX_[2920] + vX_[7754] * vX_[2924]) +
+ (vX_[3053] * vX_[1111] + vX_[3044] * vX_[176] + vX_[3056] * vX_[177] + vX_[3041] * -0.00370574557885489 +
+ vX_[3057] * 0.880970354035369 +
+ (0 - (vX_[8281] * vX_[169] + vX_[2623] * vX_[175] + vX_[3059] + vX_[7757] * vX_[170] +
+ vX_[3056] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[7757]) * -0.110125 + (0 - vX_[7787]) * -0.001762 + vX_[7752] * vX_[816]) *
+ 0.35 -
+ (vX_[3058] * vX_[1329] + vX_[7321] * vX_[208] + vX_[2808] * vX_[174] + vX_[2623] * vX_[178] +
+ vX_[7311] * vX_[219] + vX_[7345] * vX_[1018]) +
+ vX_[3061] * vX_[1080] + vX_[3096] * vX_[1318] + vX_[3081] * vX_[1266] + vX_[3098] * vX_[1325] +
+ vX_[3067] * vX_[1097] + vX_[3083] * vX_[1271] + vX_[1677] * vX_[1113] + vX_[3087] * vX_[1288] +
+ vX_[3080] * vX_[166] + vX_[3099] * vX_[1333] + vX_[3069] * vX_[1105] + vX_[3084] * vX_[1277] +
+ vX_[3072] * vX_[1118] + vX_[3088] * vX_[1081] + vX_[3075] * vX_[1128] + vX_[3089] * vX_[1134] +
+ vX_[3085] * vX_[1282] + vX_[3100] * vX_[1122] + vX_[7334] * vX_[1184] + vX_[7330] * vX_[1202] +
+ vX_[3066] * vX_[1222] + vX_[7753] * vX_[1212] + vX_[7322] * vX_[1217] + vX_[7318] * vX_[1173] +
+ vX_[7325] * vX_[1163] + vX_[7745] * vX_[1167] + vX_[3039] * vX_[1196] + vX_[3073] * vX_[1200] +
+ vX_[3276] * vX_[1253] + vX_[5530] * vX_[1248] + vX_[2667] * vX_[1177]) *
+ vX_[1071];
+ vX_[2802] = vX_[8921] + vX_[6924] * vX_[186] + vX_[2802] * vX_[197] + vX_[3457] * vX_[1129];
+ vX_[3593] = vX_[8921] + vX_[6498] * vX_[166] + vX_[3593] * vX_[202] + vX_[3458] * vX_[1969];
+ vX_[8921] = vX_[2802] - vX_[3593];
+ vX_[6918] = vX_[6924] * vX_[166] + vX_[6498] * vX_[186] + vX_[6466] * vX_[202] + vX_[6918] * vX_[197] +
+ vX_[3457] * vX_[1969] + vX_[3458] * vX_[1129];
+ vX_[6466] = vX_[8921] * vX_[169] + vX_[6918] * vX_[175];
+ vX_[6498] = vX_[8921] * vX_[167] + vX_[6918] * vX_[169];
+ vX_[2802] = 0 - vX_[2802];
+ vX_[6924] = 0 - vX_[6918];
+ vX_[3447] = (vX_[2802] * vX_[190] + vX_[6924] * vX_[181] +
+ (0 - (vX_[4002] * vX_[186] + vX_[5809] * vX_[195] + vX_[2419] * vX_[197] + vX_[3457] * vX_[1861] +
+ vX_[3454] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[4002] * vX_[166] + vX_[5809] * vX_[186] + vX_[3447] * vX_[197] + vX_[3457] * vX_[1935] +
+ vX_[3464] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[2802] = vX_[3460] * vX_[1321] + vX_[2802] * vX_[191] + vX_[3447];
+ vX_[3593] = 0 - vX_[3593];
+ vX_[3448] = (vX_[3593] * vX_[181] +
+ (0 - (vX_[1573] * vX_[186] + vX_[2130] * vX_[195] + vX_[3452] * vX_[202] + vX_[3458] * vX_[1861] +
+ vX_[3454] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[1573] * vX_[166] + vX_[2130] * vX_[186] + vX_[3448] * vX_[202] + vX_[3458] * vX_[1935] +
+ vX_[3464] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[3593] = vX_[3461] * vX_[1321] + vX_[6924] * vX_[191] + vX_[3593] * vX_[184] + vX_[3448];
+ vX_[3230] = vX_[6919] + vX_[6933] * vX_[197] + vX_[3230] * vX_[202] * 2. + vX_[3453] * vX_[1935] - vX_[3593];
+ vX_[3050] = 0 - (vX_[9089] + vX_[3050] * vX_[202] + vX_[1945] * vX_[197] * 2. + vX_[3453] * vX_[1861]) + vX_[2802];
+ vX_[1945] = vX_[1945] + vX_[3454] * vX_[1861];
+ vX_[3450] = vX_[3450] + vX_[3464] * vX_[1935];
+ vX_[9089] = vX_[1945] - vX_[3450];
+ vX_[6933] = vX_[6933] + vX_[3454] * vX_[1935] + vX_[3464] * vX_[1861];
+ vX_[3453] = vX_[9089] * vX_[169] + vX_[6933] * vX_[175];
+ vX_[6919] = vX_[9089] * vX_[167] + vX_[6933] * vX_[169];
+ vX_[6924] = vX_[3453] * vX_[167] + vX_[6919] * vX_[169];
+ vX_[3452] = vX_[3450] + vX_[3453] * vX_[169];
+ vX_[2130] = vX_[3450] + vX_[6919] * vX_[167];
+ vX_[3450] = vX_[1945] + vX_[3450] + 0 - vX_[3460] * vX_[2020] - vX_[3461] * vX_[1293] - vX_[3462] * vX_[1262] +
+ vX_[3462] * vX_[1321] - vX_[3463] * vX_[1082] - vX_[3465] * vX_[1138] - vX_[3447] * vX_[191] -
+ vX_[3448] * vX_[184] -
+ ((0 - vX_[1945]) * 2.1e-05 + (0 - vX_[6933]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[3450]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[3452] - vX_[2130];
+ vX_[1945] = 0 - vX_[3450];
+ vX_[3448] = vX_[2802] * vX_[169] + vX_[3593] * vX_[175];
+ vX_[3447] = vX_[3448] + vX_[1945] * vX_[170];
+ vX_[3465] = vX_[2802] * vX_[167] + vX_[3593] * vX_[169];
+ vX_[3463] = vX_[3465] + vX_[3450] * vX_[168];
+ vX_[3462] = 0 - vX_[2130];
+ jac[526] =
+ 0 -
+ (vX_[3457] * vX_[2920] + vX_[3458] * vX_[1111] + vX_[3454] * vX_[1329] + vX_[3464] * vX_[1337] +
+ vX_[8921] * vX_[208] + vX_[6918] * vX_[207] + vX_[6466] * -0.463218197356862 +
+ vX_[6498] * -0.00370574557885489 + vX_[2802] * vX_[174] + vX_[3593] * vX_[179] + vX_[3230] * vX_[178] +
+ vX_[3050] * vX_[173] + vX_[9089] * vX_[219] + vX_[6933] * vX_[218] + vX_[3453] * vX_[215] +
+ vX_[6919] * vX_[217] +
+ (vX_[6924] * vX_[177] + vX_[1945] * vX_[171] + vX_[3452] * vX_[172] + (0 - vX_[3447]) * 0.417781802643138 +
+ (0 - (vX_[3230] * vX_[167] + vX_[3050] * vX_[169]) + vX_[3448] + vX_[3452] * vX_[170]) * 0.881 +
+ (0 - vX_[3463]) * -0.00370574557885489 + vX_[6924] * -0.000881 + vX_[3452] * -0.22025) *
+ -0.35 +
+ vX_[2417] * vX_[797] + vX_[8742] * vX_[2924] + vX_[6901] * vX_[775] + vX_[3470] * vX_[1018] +
+ (vX_[3459] * vX_[2920] + vX_[2417] * vX_[816]) * 0.35 + vX_[3501] * vX_[1316] + vX_[6671] * vX_[1087] +
+ vX_[3504] * vX_[1328] + vX_[3473] * vX_[1100] + vX_[3489] * vX_[1273] + vX_[3477] * vX_[1115] +
+ vX_[6525] * vX_[1081] + vX_[3480] * vX_[186] + vX_[3505] * vX_[1336] + vX_[3475] * vX_[1108] +
+ vX_[2491] * vX_[1278] + vX_[1965] * vX_[1113] + vX_[3229] * vX_[1290] + vX_[3070] * vX_[166] +
+ vX_[3466] * vX_[1136] + vX_[7435] * vX_[1284] + vX_[7755] * vX_[1123] + vX_[6273] * vX_[1186] +
+ vX_[6513] * vX_[1204] + vX_[3472] * vX_[1224] + vX_[2406] * vX_[1211] + vX_[6505] * vX_[1215] +
+ vX_[2758] * vX_[1175] + vX_[7944] * vX_[1161] + vX_[6899] * vX_[1169] + vX_[3444] * vX_[1197] +
+ vX_[6463] * vX_[1255] + vX_[8063] * vX_[1204] + vX_[3101] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[3457] * vX_[1111] + vX_[3454] * vX_[1337] + vX_[8921] * vX_[207] + vX_[6466] * -0.00370574557885489 +
+ vX_[6498] * -2.96459646308422e-05 + vX_[2802] * vX_[179] + vX_[3230] * vX_[173] + vX_[9089] * vX_[218] +
+ vX_[3453] * vX_[217] + vX_[6919] * vX_[216] + vX_[8742] * vX_[797] + vX_[3470] * vX_[775] -
+ (vX_[3458] * vX_[2920] + vX_[2417] * vX_[2924]) +
+ (vX_[3459] * vX_[1111] + vX_[3450] * vX_[176] + vX_[3462] * vX_[177] + vX_[3447] * -0.00370574557885489 +
+ vX_[3463] * 0.880970354035369 +
+ (0 - (vX_[3230] * vX_[169] + vX_[3050] * vX_[175] + vX_[3465] + vX_[6924] * vX_[170] +
+ vX_[3462] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[6924]) * -0.110125 + (0 - vX_[2130]) * -0.001762 + vX_[8742] * vX_[816]) *
+ 0.35 -
+ (vX_[3464] * vX_[1329] + vX_[6918] * vX_[208] + vX_[3593] * vX_[174] + vX_[3050] * vX_[178] +
+ vX_[6933] * vX_[219] + vX_[6901] * vX_[1018]) +
+ vX_[3467] * vX_[1080] + vX_[3502] * vX_[1318] + vX_[3487] * vX_[1266] + vX_[3504] * vX_[1325] +
+ vX_[3473] * vX_[1097] + vX_[3489] * vX_[1271] + vX_[3363] * vX_[1113] + vX_[3493] * vX_[1288] +
+ vX_[3486] * vX_[166] + vX_[3505] * vX_[1333] + vX_[3475] * vX_[1105] + vX_[3490] * vX_[1277] +
+ vX_[3478] * vX_[1118] + vX_[3494] * vX_[1081] + vX_[3481] * vX_[1128] + vX_[3495] * vX_[1134] +
+ vX_[3491] * vX_[1282] + vX_[3506] * vX_[1122] + vX_[7471] * vX_[1184] + vX_[3235] * vX_[1202] +
+ vX_[3472] * vX_[1222] + vX_[2406] * vX_[1212] + vX_[6505] * vX_[1217] + vX_[2758] * vX_[1173] +
+ vX_[7944] * vX_[1163] + vX_[8551] * vX_[1167] + vX_[3445] * vX_[1196] + vX_[3479] * vX_[1200] +
+ vX_[3682] * vX_[1253] + vX_[6510] * vX_[1248] + vX_[3094] * vX_[1177]) *
+ vX_[1071];
+ vX_[6487] = vX_[7470] + vX_[6046] * vX_[186] + vX_[6487] * vX_[197] + vX_[3853] * vX_[1129];
+ vX_[6030] = vX_[7470] + vX_[4430] * vX_[166] + vX_[6030] * vX_[202] + vX_[3854] * vX_[1969];
+ vX_[7470] = vX_[6487] - vX_[6030];
+ vX_[4452] = vX_[6046] * vX_[166] + vX_[4430] * vX_[186] + vX_[6094] * vX_[202] + vX_[4452] * vX_[197] +
+ vX_[3853] * vX_[1969] + vX_[3854] * vX_[1129];
+ vX_[6094] = vX_[7470] * vX_[169] + vX_[4452] * vX_[175];
+ vX_[4430] = vX_[7470] * vX_[167] + vX_[4452] * vX_[169];
+ vX_[6487] = 0 - vX_[6487];
+ vX_[6046] = 0 - vX_[4452];
+ vX_[3843] = (vX_[6487] * vX_[190] + vX_[6046] * vX_[181] +
+ (0 - (vX_[5855] * vX_[186] + vX_[6488] * vX_[195] + vX_[6492] * vX_[197] + vX_[3853] * vX_[1861] +
+ vX_[3850] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[5855] * vX_[166] + vX_[6488] * vX_[186] + vX_[3843] * vX_[197] + vX_[3853] * vX_[1935] +
+ vX_[3860] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[6487] = vX_[3856] * vX_[1321] + vX_[6487] * vX_[191] + vX_[3843];
+ vX_[6030] = 0 - vX_[6030];
+ vX_[3844] = (vX_[6030] * vX_[181] +
+ (0 - (vX_[6649] * vX_[186] + vX_[4546] * vX_[195] + vX_[3848] * vX_[202] + vX_[3854] * vX_[1861] +
+ vX_[3850] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[6649] * vX_[166] + vX_[4546] * vX_[186] + vX_[3844] * vX_[202] + vX_[3854] * vX_[1935] +
+ vX_[3860] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[6030] = vX_[3857] * vX_[1321] + vX_[6046] * vX_[191] + vX_[6030] * vX_[184] + vX_[3844];
+ vX_[6509] = vX_[5850] + vX_[5839] * vX_[197] + vX_[6509] * vX_[202] * 2. + vX_[3849] * vX_[1935] - vX_[6030];
+ vX_[3456] = 0 - (vX_[7922] + vX_[3456] * vX_[202] + vX_[6477] * vX_[197] * 2. + vX_[3849] * vX_[1861]) + vX_[6487];
+ vX_[6477] = vX_[6477] + vX_[3850] * vX_[1861];
+ vX_[3846] = vX_[3846] + vX_[3860] * vX_[1935];
+ vX_[7922] = vX_[6477] - vX_[3846];
+ vX_[5839] = vX_[5839] + vX_[3850] * vX_[1935] + vX_[3860] * vX_[1861];
+ vX_[3849] = vX_[7922] * vX_[169] + vX_[5839] * vX_[175];
+ vX_[5850] = vX_[7922] * vX_[167] + vX_[5839] * vX_[169];
+ vX_[6046] = vX_[3849] * vX_[167] + vX_[5850] * vX_[169];
+ vX_[3848] = vX_[3846] + vX_[3849] * vX_[169];
+ vX_[4546] = vX_[3846] + vX_[5850] * vX_[167];
+ vX_[3846] = vX_[6477] + vX_[3846] + 0 - vX_[3856] * vX_[2020] - vX_[3857] * vX_[1293] - vX_[3858] * vX_[1262] +
+ vX_[3858] * vX_[1321] - vX_[3859] * vX_[1082] - vX_[3861] * vX_[1138] - vX_[3843] * vX_[191] -
+ vX_[3844] * vX_[184] -
+ ((0 - vX_[6477]) * 2.1e-05 + (0 - vX_[5839]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[3846]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[3848] - vX_[4546];
+ vX_[6477] = 0 - vX_[3846];
+ vX_[3844] = vX_[6487] * vX_[169] + vX_[6030] * vX_[175];
+ vX_[3843] = vX_[3844] + vX_[6477] * vX_[170];
+ vX_[3861] = vX_[6487] * vX_[167] + vX_[6030] * vX_[169];
+ vX_[3859] = vX_[3861] + vX_[3846] * vX_[168];
+ vX_[3858] = 0 - vX_[4546];
+ jac[527] =
+ 0 -
+ (vX_[3853] * vX_[2920] + vX_[3854] * vX_[1111] + vX_[3850] * vX_[1329] + vX_[3860] * vX_[1337] +
+ vX_[7470] * vX_[208] + vX_[4452] * vX_[207] + vX_[6094] * -0.463218197356862 +
+ vX_[4430] * -0.00370574557885489 + vX_[6487] * vX_[174] + vX_[6030] * vX_[179] + vX_[6509] * vX_[178] +
+ vX_[3456] * vX_[173] + vX_[7922] * vX_[219] + vX_[5839] * vX_[218] + vX_[3849] * vX_[215] +
+ vX_[5850] * vX_[217] +
+ (vX_[6046] * vX_[177] + vX_[6477] * vX_[171] + vX_[3848] * vX_[172] + (0 - vX_[3843]) * 0.417781802643138 +
+ (0 - (vX_[6509] * vX_[167] + vX_[3456] * vX_[169]) + vX_[3844] + vX_[3848] * vX_[170]) * 0.881 +
+ (0 - vX_[3859]) * -0.00370574557885489 + vX_[6046] * -0.000881 + vX_[3848] * -0.22025) *
+ -0.35 +
+ vX_[6472] * vX_[797] + vX_[6483] * vX_[2924] + vX_[4411] * vX_[775] + vX_[3866] * vX_[1018] +
+ (vX_[3855] * vX_[2920] + vX_[6472] * vX_[816]) * 0.35 + vX_[3897] * vX_[1316] + vX_[6220] * vX_[1087] +
+ vX_[3900] * vX_[1328] + vX_[3869] * vX_[1100] + vX_[3885] * vX_[1273] + vX_[3873] * vX_[1115] +
+ vX_[6068] * vX_[1081] + vX_[3876] * vX_[186] + vX_[3901] * vX_[1336] + vX_[3871] * vX_[1108] +
+ vX_[6476] * vX_[1278] + vX_[3594] * vX_[1113] + vX_[6085] * vX_[1290] + vX_[3476] * vX_[166] +
+ vX_[3862] * vX_[1136] + vX_[6058] * vX_[1284] + vX_[6925] * vX_[1123] + vX_[6214] * vX_[1186] +
+ vX_[6044] * vX_[1204] + vX_[3868] * vX_[1224] + vX_[4415] * vX_[1211] + vX_[6063] * vX_[1215] +
+ vX_[6091] * vX_[1175] + vX_[4873] * vX_[1161] + vX_[6357] * vX_[1169] + vX_[3840] * vX_[1197] +
+ vX_[3635] * vX_[1255] + vX_[6043] * vX_[1204] + vX_[3507] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[3853] * vX_[1111] + vX_[3850] * vX_[1337] + vX_[7470] * vX_[207] + vX_[6094] * -0.00370574557885489 +
+ vX_[4430] * -2.96459646308422e-05 + vX_[6487] * vX_[179] + vX_[6509] * vX_[173] + vX_[7922] * vX_[218] +
+ vX_[3849] * vX_[217] + vX_[5850] * vX_[216] + vX_[6483] * vX_[797] + vX_[3866] * vX_[775] -
+ (vX_[3854] * vX_[2920] + vX_[6472] * vX_[2924]) +
+ (vX_[3855] * vX_[1111] + vX_[3846] * vX_[176] + vX_[3858] * vX_[177] + vX_[3843] * -0.00370574557885489 +
+ vX_[3859] * 0.880970354035369 +
+ (0 - (vX_[6509] * vX_[169] + vX_[3456] * vX_[175] + vX_[3861] + vX_[6046] * vX_[170] +
+ vX_[3858] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[6046]) * -0.110125 + (0 - vX_[4546]) * -0.001762 + vX_[6483] * vX_[816]) *
+ 0.35 -
+ (vX_[3860] * vX_[1329] + vX_[4452] * vX_[208] + vX_[6030] * vX_[174] + vX_[3456] * vX_[178] +
+ vX_[5839] * vX_[219] + vX_[4411] * vX_[1018]) +
+ vX_[3863] * vX_[1080] + vX_[3898] * vX_[1318] + vX_[3883] * vX_[1266] + vX_[3900] * vX_[1325] +
+ vX_[3869] * vX_[1097] + vX_[3885] * vX_[1271] + vX_[5847] * vX_[1113] + vX_[3889] * vX_[1288] +
+ vX_[3882] * vX_[166] + vX_[3901] * vX_[1333] + vX_[3871] * vX_[1105] + vX_[3886] * vX_[1277] +
+ vX_[3874] * vX_[1118] + vX_[3890] * vX_[1081] + vX_[3877] * vX_[1128] + vX_[3891] * vX_[1134] +
+ vX_[3887] * vX_[1282] + vX_[3902] * vX_[1122] + vX_[3605] * vX_[1184] + vX_[2192] * vX_[1202] +
+ vX_[3868] * vX_[1222] + vX_[4415] * vX_[1212] + vX_[6063] * vX_[1217] + vX_[6091] * vX_[1173] +
+ vX_[4873] * vX_[1163] + vX_[6473] * vX_[1167] + vX_[3841] * vX_[1196] + vX_[3875] * vX_[1200] +
+ vX_[4078] * vX_[1253] + vX_[6048] * vX_[1248] + vX_[3500] * vX_[1177]) *
+ vX_[1071];
+ vX_[5426] = vX_[5633] + vX_[4550] * vX_[186] + vX_[5426] * vX_[197] + vX_[4268] * vX_[1129];
+ vX_[5630] = vX_[5633] + vX_[5206] * vX_[166] + vX_[5630] * vX_[202] + vX_[4269] * vX_[1969];
+ vX_[5633] = vX_[5426] - vX_[5630];
+ vX_[5420] = vX_[4550] * vX_[166] + vX_[5206] * vX_[186] + vX_[5191] * vX_[202] + vX_[5420] * vX_[197] +
+ vX_[4268] * vX_[1969] + vX_[4269] * vX_[1129];
+ vX_[5191] = vX_[5633] * vX_[169] + vX_[5420] * vX_[175];
+ vX_[5206] = vX_[5633] * vX_[167] + vX_[5420] * vX_[169];
+ vX_[5426] = 0 - vX_[5426];
+ vX_[4550] = 0 - vX_[5420];
+ vX_[4258] = (vX_[5426] * vX_[190] + vX_[4550] * vX_[181] +
+ (0 - (vX_[4033] * vX_[186] + vX_[6049] * vX_[195] + vX_[4490] * vX_[197] + vX_[4268] * vX_[1861] +
+ vX_[4265] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[4033] * vX_[166] + vX_[6049] * vX_[186] + vX_[4258] * vX_[197] + vX_[4268] * vX_[1935] +
+ vX_[4275] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[5426] = vX_[4271] * vX_[1321] + vX_[5426] * vX_[191] + vX_[4258];
+ vX_[5630] = 0 - vX_[5630];
+ vX_[4259] = (vX_[5630] * vX_[181] +
+ (0 - (vX_[5832] * vX_[186] + vX_[1762] * vX_[195] + vX_[4263] * vX_[202] + vX_[4269] * vX_[1861] +
+ vX_[4265] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[5832] * vX_[166] + vX_[1762] * vX_[186] + vX_[4259] * vX_[202] + vX_[4269] * vX_[1935] +
+ vX_[4275] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[5630] = vX_[4272] * vX_[1321] + vX_[4550] * vX_[191] + vX_[5630] * vX_[184] + vX_[4259];
+ vX_[4872] = vX_[5607] + vX_[5652] * vX_[197] + vX_[4872] * vX_[202] * 2. + vX_[4264] * vX_[1935] - vX_[5630];
+ vX_[3852] = 0 - (vX_[2776] + vX_[3852] * vX_[202] + vX_[5418] * vX_[197] * 2. + vX_[4264] * vX_[1861]) + vX_[5426];
+ vX_[5418] = vX_[5418] + vX_[4265] * vX_[1861];
+ vX_[4261] = vX_[4261] + vX_[4275] * vX_[1935];
+ vX_[2776] = vX_[5418] - vX_[4261];
+ vX_[5652] = vX_[5652] + vX_[4265] * vX_[1935] + vX_[4275] * vX_[1861];
+ vX_[4264] = vX_[2776] * vX_[169] + vX_[5652] * vX_[175];
+ vX_[5607] = vX_[2776] * vX_[167] + vX_[5652] * vX_[169];
+ vX_[4550] = vX_[4264] * vX_[167] + vX_[5607] * vX_[169];
+ vX_[4263] = vX_[4261] + vX_[4264] * vX_[169];
+ vX_[1762] = vX_[4261] + vX_[5607] * vX_[167];
+ vX_[4261] = vX_[5418] + vX_[4261] + 0 - vX_[4271] * vX_[2020] - vX_[4272] * vX_[1293] - vX_[4273] * vX_[1262] +
+ vX_[4273] * vX_[1321] - vX_[4274] * vX_[1082] - vX_[4276] * vX_[1138] - vX_[4258] * vX_[191] -
+ vX_[4259] * vX_[184] -
+ ((0 - vX_[5418]) * 2.1e-05 + (0 - vX_[5652]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[4261]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[4263] - vX_[1762];
+ vX_[5418] = 0 - vX_[4261];
+ vX_[4259] = vX_[5426] * vX_[169] + vX_[5630] * vX_[175];
+ vX_[4258] = vX_[4259] + vX_[5418] * vX_[170];
+ vX_[4276] = vX_[5426] * vX_[167] + vX_[5630] * vX_[169];
+ vX_[4274] = vX_[4276] + vX_[4261] * vX_[168];
+ vX_[4273] = 0 - vX_[1762];
+ jac[528] =
+ 0 -
+ (vX_[4268] * vX_[2920] + vX_[4269] * vX_[1111] + vX_[4265] * vX_[1329] + vX_[4275] * vX_[1337] +
+ vX_[5633] * vX_[208] + vX_[5420] * vX_[207] + vX_[5191] * -0.463218197356862 +
+ vX_[5206] * -0.00370574557885489 + vX_[5426] * vX_[174] + vX_[5630] * vX_[179] + vX_[4872] * vX_[178] +
+ vX_[3852] * vX_[173] + vX_[2776] * vX_[219] + vX_[5652] * vX_[218] + vX_[4264] * vX_[215] +
+ vX_[5607] * vX_[217] +
+ (vX_[4550] * vX_[177] + vX_[5418] * vX_[171] + vX_[4263] * vX_[172] + (0 - vX_[4258]) * 0.417781802643138 +
+ (0 - (vX_[4872] * vX_[167] + vX_[3852] * vX_[169]) + vX_[4259] + vX_[4263] * vX_[170]) * 0.881 +
+ (0 - vX_[4274]) * -0.00370574557885489 + vX_[4550] * -0.000881 + vX_[4263] * -0.22025) *
+ -0.35 +
+ vX_[4861] * vX_[797] + vX_[5668] * vX_[2924] + vX_[5616] * vX_[775] + vX_[4281] * vX_[1018] +
+ (vX_[4270] * vX_[2920] + vX_[4861] * vX_[816]) * 0.35 + vX_[4312] * vX_[1316] + vX_[4757] * vX_[1087] +
+ vX_[4315] * vX_[1328] + vX_[4284] * vX_[1100] + vX_[4300] * vX_[1273] + vX_[4288] * vX_[1115] +
+ vX_[5182] * vX_[1081] + vX_[4291] * vX_[186] + vX_[4316] * vX_[1336] + vX_[4286] * vX_[1108] +
+ vX_[4447] * vX_[1278] + vX_[1375] * vX_[1113] + vX_[4875] * vX_[1290] + vX_[3872] * vX_[166] +
+ vX_[4277] * vX_[1136] + vX_[4073] * vX_[1284] + vX_[6484] * vX_[1123] + vX_[5618] * vX_[1186] +
+ vX_[2105] * vX_[1204] + vX_[4283] * vX_[1224] + vX_[3992] * vX_[1211] + vX_[4890] * vX_[1215] +
+ vX_[2858] * vX_[1175] + vX_[5249] * vX_[1161] + vX_[1665] * vX_[1169] + vX_[4255] * vX_[1197] +
+ vX_[5622] * vX_[1255] + vX_[5223] * vX_[1204] + vX_[3903] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[4268] * vX_[1111] + vX_[4265] * vX_[1337] + vX_[5633] * vX_[207] + vX_[5191] * -0.00370574557885489 +
+ vX_[5206] * -2.96459646308422e-05 + vX_[5426] * vX_[179] + vX_[4872] * vX_[173] + vX_[2776] * vX_[218] +
+ vX_[4264] * vX_[217] + vX_[5607] * vX_[216] + vX_[5668] * vX_[797] + vX_[4281] * vX_[775] -
+ (vX_[4269] * vX_[2920] + vX_[4861] * vX_[2924]) +
+ (vX_[4270] * vX_[1111] + vX_[4261] * vX_[176] + vX_[4273] * vX_[177] + vX_[4258] * -0.00370574557885489 +
+ vX_[4274] * 0.880970354035369 +
+ (0 - (vX_[4872] * vX_[169] + vX_[3852] * vX_[175] + vX_[4276] + vX_[4550] * vX_[170] +
+ vX_[4273] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[4550]) * -0.110125 + (0 - vX_[1762]) * -0.001762 + vX_[5668] * vX_[816]) *
+ 0.35 -
+ (vX_[4275] * vX_[1329] + vX_[5420] * vX_[208] + vX_[5630] * vX_[174] + vX_[3852] * vX_[178] +
+ vX_[5652] * vX_[219] + vX_[5616] * vX_[1018]) +
+ vX_[4278] * vX_[1080] + vX_[4313] * vX_[1318] + vX_[4298] * vX_[1266] + vX_[4315] * vX_[1325] +
+ vX_[4284] * vX_[1097] + vX_[4300] * vX_[1271] + vX_[6106] * vX_[1113] + vX_[4304] * vX_[1288] +
+ vX_[4297] * vX_[166] + vX_[4316] * vX_[1333] + vX_[4286] * vX_[1105] + vX_[4301] * vX_[1277] +
+ vX_[4289] * vX_[1118] + vX_[4305] * vX_[1081] + vX_[4292] * vX_[1128] + vX_[4306] * vX_[1134] +
+ vX_[4302] * vX_[1282] + vX_[4317] * vX_[1122] + vX_[5624] * vX_[1184] + vX_[2453] * vX_[1202] +
+ vX_[4283] * vX_[1222] + vX_[3992] * vX_[1212] + vX_[4890] * vX_[1217] + vX_[2858] * vX_[1173] +
+ vX_[5249] * vX_[1163] + vX_[5221] * vX_[1167] + vX_[4256] * vX_[1196] + vX_[4290] * vX_[1200] +
+ vX_[4493] * vX_[1253] + vX_[4494] * vX_[1248] + vX_[3896] * vX_[1177]) *
+ vX_[1071];
+ vX_[5246] = vX_[3581] + vX_[5220] * vX_[186] + vX_[5246] * vX_[197] + vX_[4697] * vX_[1129];
+ vX_[8797] = vX_[3581] + vX_[5209] * vX_[166] + vX_[8797] * vX_[202] + vX_[4698] * vX_[1969];
+ vX_[3581] = vX_[5246] - vX_[8797];
+ vX_[5197] = vX_[5220] * vX_[166] + vX_[5209] * vX_[186] + vX_[1035] * vX_[202] + vX_[5197] * vX_[197] +
+ vX_[4697] * vX_[1969] + vX_[4698] * vX_[1129];
+ vX_[1035] = vX_[3581] * vX_[169] + vX_[5197] * vX_[175];
+ vX_[5209] = vX_[3581] * vX_[167] + vX_[5197] * vX_[169];
+ vX_[5246] = 0 - vX_[5246];
+ vX_[5220] = 0 - vX_[5197];
+ vX_[4687] = (vX_[5246] * vX_[190] + vX_[5220] * vX_[181] +
+ (0 - (vX_[4762] * vX_[186] + vX_[5513] * vX_[195] + vX_[5214] * vX_[197] + vX_[4697] * vX_[1861] +
+ vX_[4694] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[4762] * vX_[166] + vX_[5513] * vX_[186] + vX_[4687] * vX_[197] + vX_[4697] * vX_[1935] +
+ vX_[4704] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[5246] = vX_[4700] * vX_[1321] + vX_[5246] * vX_[191] + vX_[4687];
+ vX_[8797] = 0 - vX_[8797];
+ vX_[4688] = (vX_[8797] * vX_[181] +
+ (0 - (vX_[4409] * vX_[186] + vX_[5236] * vX_[195] + vX_[4692] * vX_[202] + vX_[4698] * vX_[1861] +
+ vX_[4694] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[4409] * vX_[166] + vX_[5236] * vX_[186] + vX_[4688] * vX_[202] + vX_[4698] * vX_[1935] +
+ vX_[4704] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[8797] = vX_[4701] * vX_[1321] + vX_[5220] * vX_[191] + vX_[8797] * vX_[184] + vX_[4688];
+ vX_[5372] = vX_[5237] + vX_[6164] * vX_[197] + vX_[5372] * vX_[202] * 2. + vX_[4693] * vX_[1935] - vX_[8797];
+ vX_[4267] = 0 - (vX_[6486] + vX_[4267] * vX_[202] + vX_[8789] * vX_[197] * 2. + vX_[4693] * vX_[1861]) + vX_[5246];
+ vX_[8789] = vX_[8789] + vX_[4694] * vX_[1861];
+ vX_[4690] = vX_[4690] + vX_[4704] * vX_[1935];
+ vX_[6486] = vX_[8789] - vX_[4690];
+ vX_[6164] = vX_[6164] + vX_[4694] * vX_[1935] + vX_[4704] * vX_[1861];
+ vX_[4693] = vX_[6486] * vX_[169] + vX_[6164] * vX_[175];
+ vX_[5237] = vX_[6486] * vX_[167] + vX_[6164] * vX_[169];
+ vX_[5220] = vX_[4693] * vX_[167] + vX_[5237] * vX_[169];
+ vX_[4692] = vX_[4690] + vX_[4693] * vX_[169];
+ vX_[5236] = vX_[4690] + vX_[5237] * vX_[167];
+ vX_[4690] = vX_[8789] + vX_[4690] + 0 - vX_[4700] * vX_[2020] - vX_[4701] * vX_[1293] - vX_[4702] * vX_[1262] +
+ vX_[4702] * vX_[1321] - vX_[4703] * vX_[1082] - vX_[4705] * vX_[1138] - vX_[4687] * vX_[191] -
+ vX_[4688] * vX_[184] -
+ ((0 - vX_[8789]) * 2.1e-05 + (0 - vX_[6164]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[4690]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[4692] - vX_[5236];
+ vX_[8789] = 0 - vX_[4690];
+ vX_[4688] = vX_[5246] * vX_[169] + vX_[8797] * vX_[175];
+ vX_[4687] = vX_[4688] + vX_[8789] * vX_[170];
+ vX_[4705] = vX_[5246] * vX_[167] + vX_[8797] * vX_[169];
+ vX_[4703] = vX_[4705] + vX_[4690] * vX_[168];
+ vX_[4702] = 0 - vX_[5236];
+ jac[529] =
+ 0 -
+ (vX_[4697] * vX_[2920] + vX_[4698] * vX_[1111] + vX_[4694] * vX_[1329] + vX_[4704] * vX_[1337] +
+ vX_[3581] * vX_[208] + vX_[5197] * vX_[207] + vX_[1035] * -0.463218197356862 +
+ vX_[5209] * -0.00370574557885489 + vX_[5246] * vX_[174] + vX_[8797] * vX_[179] + vX_[5372] * vX_[178] +
+ vX_[4267] * vX_[173] + vX_[6486] * vX_[219] + vX_[6164] * vX_[218] + vX_[4693] * vX_[215] +
+ vX_[5237] * vX_[217] +
+ (vX_[5220] * vX_[177] + vX_[8789] * vX_[171] + vX_[4692] * vX_[172] + (0 - vX_[4687]) * 0.417781802643138 +
+ (0 - (vX_[5372] * vX_[167] + vX_[4267] * vX_[169]) + vX_[4688] + vX_[4692] * vX_[170]) * 0.881 +
+ (0 - vX_[4703]) * -0.00370574557885489 + vX_[5220] * -0.000881 + vX_[4692] * -0.22025) *
+ -0.35 +
+ vX_[5217] * vX_[797] + vX_[5215] * vX_[2924] + vX_[2040] * vX_[775] + vX_[4710] * vX_[1018] +
+ (vX_[4699] * vX_[2920] + vX_[5217] * vX_[816]) * 0.35 + vX_[4741] * vX_[1316] + vX_[4818] * vX_[1087] +
+ vX_[4744] * vX_[1328] + vX_[4713] * vX_[1100] + vX_[4729] * vX_[1273] + vX_[4717] * vX_[1115] +
+ vX_[4136] * vX_[1081] + vX_[4720] * vX_[186] + vX_[4745] * vX_[1336] + vX_[4715] * vX_[1108] +
+ vX_[5232] * vX_[1278] + vX_[5654] * vX_[1113] + vX_[5723] * vX_[1290] + vX_[4287] * vX_[166] +
+ vX_[4706] * vX_[1136] + vX_[5287] * vX_[1284] + vX_[4412] * vX_[1123] + vX_[4985] * vX_[1186] +
+ vX_[4340] * vX_[1204] + vX_[4712] * vX_[1224] + vX_[5231] * vX_[1211] + vX_[6946] * vX_[1215] +
+ vX_[6583] * vX_[1175] + vX_[4786] * vX_[1161] + vX_[1307] * vX_[1169] + vX_[4684] * vX_[1197] +
+ vX_[5268] * vX_[1255] + vX_[4778] * vX_[1204] + vX_[4318] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[4697] * vX_[1111] + vX_[4694] * vX_[1337] + vX_[3581] * vX_[207] + vX_[1035] * -0.00370574557885489 +
+ vX_[5209] * -2.96459646308422e-05 + vX_[5246] * vX_[179] + vX_[5372] * vX_[173] + vX_[6486] * vX_[218] +
+ vX_[4693] * vX_[217] + vX_[5237] * vX_[216] + vX_[5215] * vX_[797] + vX_[4710] * vX_[775] -
+ (vX_[4698] * vX_[2920] + vX_[5217] * vX_[2924]) +
+ (vX_[4699] * vX_[1111] + vX_[4690] * vX_[176] + vX_[4702] * vX_[177] + vX_[4687] * -0.00370574557885489 +
+ vX_[4703] * 0.880970354035369 +
+ (0 - (vX_[5372] * vX_[169] + vX_[4267] * vX_[175] + vX_[4705] + vX_[5220] * vX_[170] +
+ vX_[4702] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[5220]) * -0.110125 + (0 - vX_[5236]) * -0.001762 + vX_[5215] * vX_[816]) *
+ 0.35 -
+ (vX_[4704] * vX_[1329] + vX_[5197] * vX_[208] + vX_[8797] * vX_[174] + vX_[4267] * vX_[178] +
+ vX_[6164] * vX_[219] + vX_[2040] * vX_[1018]) +
+ vX_[4707] * vX_[1080] + vX_[4742] * vX_[1318] + vX_[4727] * vX_[1266] + vX_[4744] * vX_[1325] +
+ vX_[4713] * vX_[1097] + vX_[4729] * vX_[1271] + vX_[4759] * vX_[1113] + vX_[4733] * vX_[1288] +
+ vX_[4726] * vX_[166] + vX_[4745] * vX_[1333] + vX_[4715] * vX_[1105] + vX_[4730] * vX_[1277] +
+ vX_[4718] * vX_[1118] + vX_[4734] * vX_[1081] + vX_[4721] * vX_[1128] + vX_[4735] * vX_[1134] +
+ vX_[4731] * vX_[1282] + vX_[4746] * vX_[1122] + vX_[4800] * vX_[1184] + vX_[4791] * vX_[1202] +
+ vX_[4712] * vX_[1222] + vX_[5231] * vX_[1212] + vX_[6946] * vX_[1217] + vX_[6583] * vX_[1173] +
+ vX_[4786] * vX_[1163] + vX_[6127] * vX_[1167] + vX_[4685] * vX_[1196] + vX_[4719] * vX_[1200] +
+ vX_[4922] * vX_[1253] + vX_[5724] * vX_[1248] + vX_[4311] * vX_[1177]) *
+ vX_[1071];
+ vX_[3933] = vX_[4984] + vX_[4331] * vX_[186] + vX_[3933] * vX_[197] + vX_[5126] * vX_[1129];
+ vX_[4514] = vX_[4984] + vX_[6564] * vX_[166] + vX_[4514] * vX_[202] + vX_[5127] * vX_[1969];
+ vX_[4984] = vX_[3933] - vX_[4514];
+ vX_[6152] = vX_[4331] * vX_[166] + vX_[6564] * vX_[186] + vX_[3524] * vX_[202] + vX_[6152] * vX_[197] +
+ vX_[5126] * vX_[1969] + vX_[5127] * vX_[1129];
+ vX_[3524] = vX_[4984] * vX_[169] + vX_[6152] * vX_[175];
+ vX_[6564] = vX_[4984] * vX_[167] + vX_[6152] * vX_[169];
+ vX_[3933] = 0 - vX_[3933];
+ vX_[4331] = 0 - vX_[6152];
+ vX_[5116] = (vX_[3933] * vX_[190] + vX_[4331] * vX_[181] +
+ (0 - (vX_[5728] * vX_[186] + vX_[4767] * vX_[195] + vX_[7532] * vX_[197] + vX_[5126] * vX_[1861] +
+ vX_[5123] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[5728] * vX_[166] + vX_[4767] * vX_[186] + vX_[5116] * vX_[197] + vX_[5126] * vX_[1935] +
+ vX_[5133] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[3933] = vX_[5129] * vX_[1321] + vX_[3933] * vX_[191] + vX_[5116];
+ vX_[4514] = 0 - vX_[4514];
+ vX_[5117] = (vX_[4514] * vX_[181] +
+ (0 - (vX_[4775] * vX_[186] + vX_[3913] * vX_[195] + vX_[5121] * vX_[202] + vX_[5127] * vX_[1861] +
+ vX_[5123] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[4775] * vX_[166] + vX_[3913] * vX_[186] + vX_[5117] * vX_[202] + vX_[5127] * vX_[1935] +
+ vX_[5133] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[4514] = vX_[5130] * vX_[1321] + vX_[4331] * vX_[191] + vX_[4514] * vX_[184] + vX_[5117];
+ vX_[6124] = vX_[4558] + vX_[4378] * vX_[197] + vX_[6124] * vX_[202] * 2. + vX_[5122] * vX_[1935] - vX_[4514];
+ vX_[4696] = 0 - (vX_[5848] + vX_[4696] * vX_[202] + vX_[6536] * vX_[197] * 2. + vX_[5122] * vX_[1861]) + vX_[3933];
+ vX_[6536] = vX_[6536] + vX_[5123] * vX_[1861];
+ vX_[5119] = vX_[5119] + vX_[5133] * vX_[1935];
+ vX_[5848] = vX_[6536] - vX_[5119];
+ vX_[4378] = vX_[4378] + vX_[5123] * vX_[1935] + vX_[5133] * vX_[1861];
+ vX_[5122] = vX_[5848] * vX_[169] + vX_[4378] * vX_[175];
+ vX_[4558] = vX_[5848] * vX_[167] + vX_[4378] * vX_[169];
+ vX_[4331] = vX_[5122] * vX_[167] + vX_[4558] * vX_[169];
+ vX_[5121] = vX_[5119] + vX_[5122] * vX_[169];
+ vX_[3913] = vX_[5119] + vX_[4558] * vX_[167];
+ vX_[5119] = vX_[6536] + vX_[5119] + 0 - vX_[5129] * vX_[2020] - vX_[5130] * vX_[1293] - vX_[5131] * vX_[1262] +
+ vX_[5131] * vX_[1321] - vX_[5132] * vX_[1082] - vX_[5134] * vX_[1138] - vX_[5116] * vX_[191] -
+ vX_[5117] * vX_[184] -
+ ((0 - vX_[6536]) * 2.1e-05 + (0 - vX_[4378]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[5119]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[5121] - vX_[3913];
+ vX_[6536] = 0 - vX_[5119];
+ vX_[5117] = vX_[3933] * vX_[169] + vX_[4514] * vX_[175];
+ vX_[5116] = vX_[5117] + vX_[6536] * vX_[170];
+ vX_[5134] = vX_[3933] * vX_[167] + vX_[4514] * vX_[169];
+ vX_[5132] = vX_[5134] + vX_[5119] * vX_[168];
+ vX_[5131] = 0 - vX_[3913];
+ jac[530] =
+ 0 -
+ (vX_[5126] * vX_[2920] + vX_[5127] * vX_[1111] + vX_[5123] * vX_[1329] + vX_[5133] * vX_[1337] +
+ vX_[4984] * vX_[208] + vX_[6152] * vX_[207] + vX_[3524] * -0.463218197356862 +
+ vX_[6564] * -0.00370574557885489 + vX_[3933] * vX_[174] + vX_[4514] * vX_[179] + vX_[6124] * vX_[178] +
+ vX_[4696] * vX_[173] + vX_[5848] * vX_[219] + vX_[4378] * vX_[218] + vX_[5122] * vX_[215] +
+ vX_[4558] * vX_[217] +
+ (vX_[4331] * vX_[177] + vX_[6536] * vX_[171] + vX_[5121] * vX_[172] + (0 - vX_[5116]) * 0.417781802643138 +
+ (0 - (vX_[6124] * vX_[167] + vX_[4696] * vX_[169]) + vX_[5117] + vX_[5121] * vX_[170]) * 0.881 +
+ (0 - vX_[5132]) * -0.00370574557885489 + vX_[4331] * -0.000881 + vX_[5121] * -0.22025) *
+ -0.35 +
+ vX_[4391] * vX_[797] + vX_[6138] * vX_[2924] + vX_[4352] * vX_[775] + vX_[5139] * vX_[1018] +
+ (vX_[5128] * vX_[2920] + vX_[4391] * vX_[816]) * 0.35 + vX_[5170] * vX_[1316] + vX_[3881] * vX_[1087] +
+ vX_[5173] * vX_[1328] + vX_[5142] * vX_[1100] + vX_[5158] * vX_[1273] + vX_[5146] * vX_[1115] +
+ vX_[6670] * vX_[1081] + vX_[5149] * vX_[186] + vX_[5174] * vX_[1336] + vX_[5144] * vX_[1108] +
+ vX_[3948] * vX_[1278] + vX_[4027] * vX_[1113] + vX_[3909] * vX_[1290] + vX_[4716] * vX_[166] +
+ vX_[5135] * vX_[1136] + vX_[3915] * vX_[1284] + vX_[5210] * vX_[1123] + vX_[4337] * vX_[1186] +
+ vX_[3949] * vX_[1204] + vX_[5141] * vX_[1224] + vX_[4390] * vX_[1211] + vX_[7401] * vX_[1215] +
+ vX_[6956] * vX_[1175] + vX_[6572] * vX_[1161] + vX_[4373] * vX_[1169] + vX_[5113] * vX_[1197] +
+ vX_[4343] * vX_[1255] + vX_[3955] * vX_[1204] + vX_[4747] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[5126] * vX_[1111] + vX_[5123] * vX_[1337] + vX_[4984] * vX_[207] + vX_[3524] * -0.00370574557885489 +
+ vX_[6564] * -2.96459646308422e-05 + vX_[3933] * vX_[179] + vX_[6124] * vX_[173] + vX_[5848] * vX_[218] +
+ vX_[5122] * vX_[217] + vX_[4558] * vX_[216] + vX_[6138] * vX_[797] + vX_[5139] * vX_[775] -
+ (vX_[5127] * vX_[2920] + vX_[4391] * vX_[2924]) +
+ (vX_[5128] * vX_[1111] + vX_[5119] * vX_[176] + vX_[5131] * vX_[177] + vX_[5116] * -0.00370574557885489 +
+ vX_[5132] * 0.880970354035369 +
+ (0 - (vX_[6124] * vX_[169] + vX_[4696] * vX_[175] + vX_[5134] + vX_[4331] * vX_[170] +
+ vX_[5131] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[4331]) * -0.110125 + (0 - vX_[3913]) * -0.001762 + vX_[6138] * vX_[816]) *
+ 0.35 -
+ (vX_[5133] * vX_[1329] + vX_[6152] * vX_[208] + vX_[4514] * vX_[174] + vX_[4696] * vX_[178] +
+ vX_[4378] * vX_[219] + vX_[4352] * vX_[1018]) +
+ vX_[5136] * vX_[1080] + vX_[5171] * vX_[1318] + vX_[5156] * vX_[1266] + vX_[5173] * vX_[1325] +
+ vX_[5142] * vX_[1097] + vX_[5158] * vX_[1271] + vX_[4379] * vX_[1113] + vX_[5162] * vX_[1288] +
+ vX_[5155] * vX_[166] + vX_[5174] * vX_[1333] + vX_[5144] * vX_[1105] + vX_[5159] * vX_[1277] +
+ vX_[5147] * vX_[1118] + vX_[5163] * vX_[1081] + vX_[5150] * vX_[1128] + vX_[5164] * vX_[1134] +
+ vX_[5160] * vX_[1282] + vX_[5175] * vX_[1122] + vX_[4341] * vX_[1184] + vX_[3916] * vX_[1202] +
+ vX_[5141] * vX_[1222] + vX_[4390] * vX_[1212] + vX_[7401] * vX_[1217] + vX_[6956] * vX_[1173] +
+ vX_[6572] * vX_[1163] + vX_[6547] * vX_[1167] + vX_[5114] * vX_[1196] + vX_[5148] * vX_[1200] +
+ vX_[5351] * vX_[1253] + vX_[6948] * vX_[1248] + vX_[4740] * vX_[1177]) *
+ vX_[1071];
+ vX_[3936] = vX_[3519] + vX_[3946] * vX_[186] + vX_[3936] * vX_[197] + vX_[5545] * vX_[1129];
+ vX_[6529] = vX_[3519] + vX_[7656] * vX_[166] + vX_[6529] * vX_[202] + vX_[5546] * vX_[1969];
+ vX_[3519] = vX_[3936] - vX_[6529];
+ vX_[3937] = vX_[3946] * vX_[166] + vX_[7656] * vX_[186] + vX_[6989] * vX_[202] + vX_[3937] * vX_[197] +
+ vX_[5545] * vX_[1969] + vX_[5546] * vX_[1129];
+ vX_[6989] = vX_[3519] * vX_[169] + vX_[3937] * vX_[175];
+ vX_[7656] = vX_[3519] * vX_[167] + vX_[3937] * vX_[169];
+ vX_[3936] = 0 - vX_[3936];
+ vX_[3946] = 0 - vX_[3937];
+ vX_[5535] = (vX_[3936] * vX_[190] + vX_[3946] * vX_[181] +
+ (0 - (vX_[3118] * vX_[186] + vX_[3284] * vX_[195] + vX_[6549] * vX_[197] + vX_[5545] * vX_[1861] +
+ vX_[5542] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[3118] * vX_[166] + vX_[3284] * vX_[186] + vX_[5535] * vX_[197] + vX_[5545] * vX_[1935] +
+ vX_[5552] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[3936] = vX_[5548] * vX_[1321] + vX_[3936] * vX_[191] + vX_[5535];
+ vX_[6529] = 0 - vX_[6529];
+ vX_[5536] = (vX_[6529] * vX_[181] +
+ (0 - (vX_[5882] * vX_[186] + vX_[3974] * vX_[195] + vX_[5540] * vX_[202] + vX_[5546] * vX_[1861] +
+ vX_[5542] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[5882] * vX_[166] + vX_[3974] * vX_[186] + vX_[5536] * vX_[202] + vX_[5546] * vX_[1935] +
+ vX_[5552] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[6529] = vX_[5549] * vX_[1321] + vX_[3946] * vX_[191] + vX_[6529] * vX_[184] + vX_[5536];
+ vX_[1491] = vX_[3947] + vX_[3111] * vX_[197] + vX_[1491] * vX_[202] * 2. + vX_[5541] * vX_[1935] - vX_[6529];
+ vX_[5125] = 0 - (vX_[4504] + vX_[5125] * vX_[202] + vX_[7843] * vX_[197] * 2. + vX_[5541] * vX_[1861]) + vX_[3936];
+ vX_[7843] = vX_[7843] + vX_[5542] * vX_[1861];
+ vX_[5538] = vX_[5538] + vX_[5552] * vX_[1935];
+ vX_[4504] = vX_[7843] - vX_[5538];
+ vX_[3111] = vX_[3111] + vX_[5542] * vX_[1935] + vX_[5552] * vX_[1861];
+ vX_[5541] = vX_[4504] * vX_[169] + vX_[3111] * vX_[175];
+ vX_[3947] = vX_[4504] * vX_[167] + vX_[3111] * vX_[169];
+ vX_[3946] = vX_[5541] * vX_[167] + vX_[3947] * vX_[169];
+ vX_[5540] = vX_[5538] + vX_[5541] * vX_[169];
+ vX_[3974] = vX_[5538] + vX_[3947] * vX_[167];
+ vX_[5538] = vX_[7843] + vX_[5538] + 0 - vX_[5548] * vX_[2020] - vX_[5549] * vX_[1293] - vX_[5550] * vX_[1262] +
+ vX_[5550] * vX_[1321] - vX_[5551] * vX_[1082] - vX_[5553] * vX_[1138] - vX_[5535] * vX_[191] -
+ vX_[5536] * vX_[184] -
+ ((0 - vX_[7843]) * 2.1e-05 + (0 - vX_[3111]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[5538]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[5540] - vX_[3974];
+ vX_[7843] = 0 - vX_[5538];
+ vX_[5536] = vX_[3936] * vX_[169] + vX_[6529] * vX_[175];
+ vX_[5535] = vX_[5536] + vX_[7843] * vX_[170];
+ vX_[5553] = vX_[3936] * vX_[167] + vX_[6529] * vX_[169];
+ vX_[5551] = vX_[5553] + vX_[5538] * vX_[168];
+ vX_[5550] = 0 - vX_[3974];
+ jac[531] =
+ 0 -
+ (vX_[5545] * vX_[2920] + vX_[5546] * vX_[1111] + vX_[5542] * vX_[1329] + vX_[5552] * vX_[1337] +
+ vX_[3519] * vX_[208] + vX_[3937] * vX_[207] + vX_[6989] * -0.463218197356862 +
+ vX_[7656] * -0.00370574557885489 + vX_[3936] * vX_[174] + vX_[6529] * vX_[179] + vX_[1491] * vX_[178] +
+ vX_[5125] * vX_[173] + vX_[4504] * vX_[219] + vX_[3111] * vX_[218] + vX_[5541] * vX_[215] +
+ vX_[3947] * vX_[217] +
+ (vX_[3946] * vX_[177] + vX_[7843] * vX_[171] + vX_[5540] * vX_[172] + (0 - vX_[5535]) * 0.417781802643138 +
+ (0 - (vX_[1491] * vX_[167] + vX_[5125] * vX_[169]) + vX_[5536] + vX_[5540] * vX_[170]) * 0.881 +
+ (0 - vX_[5551]) * -0.00370574557885489 + vX_[3946] * -0.000881 + vX_[5540] * -0.22025) *
+ -0.35 +
+ vX_[3942] * vX_[797] + vX_[3970] * vX_[2924] + vX_[6959] * vX_[775] + vX_[5558] * vX_[1018] +
+ (vX_[5547] * vX_[2920] + vX_[3942] * vX_[816]) * 0.35 + vX_[5589] * vX_[1316] + vX_[3577] * vX_[1087] +
+ vX_[5592] * vX_[1328] + vX_[5561] * vX_[1100] + vX_[5577] * vX_[1273] + vX_[5565] * vX_[1115] +
+ vX_[1810] * vX_[1081] + vX_[5568] * vX_[186] + vX_[5593] * vX_[1336] + vX_[5563] * vX_[1108] +
+ vX_[3944] * vX_[1278] + vX_[4353] * vX_[1113] + vX_[7016] * vX_[1290] + vX_[5145] * vX_[166] +
+ vX_[5554] * vX_[1136] + vX_[3568] * vX_[1284] + vX_[6117] * vX_[1123] + vX_[7012] * vX_[1186] +
+ vX_[3536] * vX_[1204] + vX_[5560] * vX_[1224] + vX_[3971] * vX_[1211] + vX_[8228] * vX_[1215] +
+ vX_[3562] * vX_[1175] + vX_[3574] * vX_[1161] + vX_[3579] * vX_[1169] + vX_[5532] * vX_[1197] +
+ vX_[3564] * vX_[1255] + vX_[3531] * vX_[1204] + vX_[5176] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[5545] * vX_[1111] + vX_[5542] * vX_[1337] + vX_[3519] * vX_[207] + vX_[6989] * -0.00370574557885489 +
+ vX_[7656] * -2.96459646308422e-05 + vX_[3936] * vX_[179] + vX_[1491] * vX_[173] + vX_[4504] * vX_[218] +
+ vX_[5541] * vX_[217] + vX_[3947] * vX_[216] + vX_[3970] * vX_[797] + vX_[5558] * vX_[775] -
+ (vX_[5546] * vX_[2920] + vX_[3942] * vX_[2924]) +
+ (vX_[5547] * vX_[1111] + vX_[5538] * vX_[176] + vX_[5550] * vX_[177] + vX_[5535] * -0.00370574557885489 +
+ vX_[5551] * 0.880970354035369 +
+ (0 - (vX_[1491] * vX_[169] + vX_[5125] * vX_[175] + vX_[5553] + vX_[3946] * vX_[170] +
+ vX_[5550] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[3946]) * -0.110125 + (0 - vX_[3974]) * -0.001762 + vX_[3970] * vX_[816]) *
+ 0.35 -
+ (vX_[5552] * vX_[1329] + vX_[3937] * vX_[208] + vX_[6529] * vX_[174] + vX_[5125] * vX_[178] +
+ vX_[3111] * vX_[219] + vX_[6959] * vX_[1018]) +
+ vX_[5555] * vX_[1080] + vX_[5590] * vX_[1318] + vX_[5575] * vX_[1266] + vX_[5592] * vX_[1325] +
+ vX_[5561] * vX_[1097] + vX_[5577] * vX_[1271] + vX_[7018] * vX_[1113] + vX_[5581] * vX_[1288] +
+ vX_[5574] * vX_[166] + vX_[5593] * vX_[1333] + vX_[5563] * vX_[1105] + vX_[5578] * vX_[1277] +
+ vX_[5566] * vX_[1118] + vX_[5582] * vX_[1081] + vX_[5569] * vX_[1128] + vX_[5583] * vX_[1134] +
+ vX_[5579] * vX_[1282] + vX_[5594] * vX_[1122] + vX_[6975] * vX_[1184] + vX_[3550] * vX_[1202] +
+ vX_[5560] * vX_[1222] + vX_[3971] * vX_[1212] + vX_[8228] * vX_[1217] + vX_[3562] * vX_[1173] +
+ vX_[3574] * vX_[1163] + vX_[3958] * vX_[1167] + vX_[5533] * vX_[1196] + vX_[5567] * vX_[1200] +
+ vX_[5770] * vX_[1253] + vX_[3123] * vX_[1248] + vX_[5169] * vX_[1177]) *
+ vX_[1071];
+ vX_[9155] = vX_[3162] + vX_[7441] * vX_[186] + vX_[9155] * vX_[197] + vX_[5974] * vX_[1129];
+ vX_[2457] = vX_[3162] + vX_[7825] * vX_[166] + vX_[2457] * vX_[202] + vX_[5975] * vX_[1969];
+ vX_[3162] = vX_[9155] - vX_[2457];
+ vX_[7855] = vX_[7441] * vX_[166] + vX_[7825] * vX_[186] + vX_[9179] * vX_[202] + vX_[7855] * vX_[197] +
+ vX_[5974] * vX_[1969] + vX_[5975] * vX_[1129];
+ vX_[9179] = vX_[3162] * vX_[169] + vX_[7855] * vX_[175];
+ vX_[7825] = vX_[3162] * vX_[167] + vX_[7855] * vX_[169];
+ vX_[9155] = 0 - vX_[9155];
+ vX_[7441] = 0 - vX_[7855];
+ vX_[5964] = (vX_[9155] * vX_[190] + vX_[7441] * vX_[181] +
+ (0 - (vX_[7382] * vX_[186] + vX_[3535] * vX_[195] + vX_[3113] * vX_[197] + vX_[5974] * vX_[1861] +
+ vX_[5971] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[7382] * vX_[166] + vX_[3535] * vX_[186] + vX_[5964] * vX_[197] + vX_[5974] * vX_[1935] +
+ vX_[5981] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[9155] = vX_[5977] * vX_[1321] + vX_[9155] * vX_[191] + vX_[5964];
+ vX_[2457] = 0 - vX_[2457];
+ vX_[5965] = (vX_[2457] * vX_[181] +
+ (0 - (vX_[3533] * vX_[186] + vX_[3079] * vX_[195] + vX_[5969] * vX_[202] + vX_[5975] * vX_[1861] +
+ vX_[5971] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[3533] * vX_[166] + vX_[3079] * vX_[186] + vX_[5965] * vX_[202] + vX_[5975] * vX_[1935] +
+ vX_[5981] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[2457] = vX_[5978] * vX_[1321] + vX_[7441] * vX_[191] + vX_[2457] * vX_[184] + vX_[5965];
+ vX_[2608] = vX_[3114] + vX_[3172] * vX_[197] + vX_[2608] * vX_[202] * 2. + vX_[5970] * vX_[1935] - vX_[2457];
+ vX_[5544] = 0 - (vX_[4766] + vX_[5544] * vX_[202] + vX_[8288] * vX_[197] * 2. + vX_[5970] * vX_[1861]) + vX_[9155];
+ vX_[8288] = vX_[8288] + vX_[5971] * vX_[1861];
+ vX_[5967] = vX_[5967] + vX_[5981] * vX_[1935];
+ vX_[4766] = vX_[8288] - vX_[5967];
+ vX_[3172] = vX_[3172] + vX_[5971] * vX_[1935] + vX_[5981] * vX_[1861];
+ vX_[5970] = vX_[4766] * vX_[169] + vX_[3172] * vX_[175];
+ vX_[3114] = vX_[4766] * vX_[167] + vX_[3172] * vX_[169];
+ vX_[7441] = vX_[5970] * vX_[167] + vX_[3114] * vX_[169];
+ vX_[5969] = vX_[5967] + vX_[5970] * vX_[169];
+ vX_[3079] = vX_[5967] + vX_[3114] * vX_[167];
+ vX_[5967] = vX_[8288] + vX_[5967] + 0 - vX_[5977] * vX_[2020] - vX_[5978] * vX_[1293] - vX_[5979] * vX_[1262] +
+ vX_[5979] * vX_[1321] - vX_[5980] * vX_[1082] - vX_[5982] * vX_[1138] - vX_[5964] * vX_[191] -
+ vX_[5965] * vX_[184] -
+ ((0 - vX_[8288]) * 2.1e-05 + (0 - vX_[3172]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[5967]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[5969] - vX_[3079];
+ vX_[8288] = 0 - vX_[5967];
+ vX_[5965] = vX_[9155] * vX_[169] + vX_[2457] * vX_[175];
+ vX_[5964] = vX_[5965] + vX_[8288] * vX_[170];
+ vX_[5982] = vX_[9155] * vX_[167] + vX_[2457] * vX_[169];
+ vX_[5980] = vX_[5982] + vX_[5967] * vX_[168];
+ vX_[5979] = 0 - vX_[3079];
+ jac[532] =
+ 0 -
+ (vX_[5974] * vX_[2920] + vX_[5975] * vX_[1111] + vX_[5971] * vX_[1329] + vX_[5981] * vX_[1337] +
+ vX_[3162] * vX_[208] + vX_[7855] * vX_[207] + vX_[9179] * -0.463218197356862 +
+ vX_[7825] * -0.00370574557885489 + vX_[9155] * vX_[174] + vX_[2457] * vX_[179] + vX_[2608] * vX_[178] +
+ vX_[5544] * vX_[173] + vX_[4766] * vX_[219] + vX_[3172] * vX_[218] + vX_[5970] * vX_[215] +
+ vX_[3114] * vX_[217] +
+ (vX_[7441] * vX_[177] + vX_[8288] * vX_[171] + vX_[5969] * vX_[172] + (0 - vX_[5964]) * 0.417781802643138 +
+ (0 - (vX_[2608] * vX_[167] + vX_[5544] * vX_[169]) + vX_[5965] + vX_[5969] * vX_[170]) * 0.881 +
+ (0 - vX_[5980]) * -0.00370574557885489 + vX_[7441] * -0.000881 + vX_[5969] * -0.22025) *
+ -0.35 +
+ vX_[2098] * vX_[797] + vX_[9173] * vX_[2924] + vX_[1904] * vX_[775] + vX_[5987] * vX_[1018] +
+ (vX_[5976] * vX_[2920] + vX_[2098] * vX_[816]) * 0.35 + vX_[6018] * vX_[1316] + vX_[2304] * vX_[1087] +
+ vX_[6021] * vX_[1328] + vX_[5990] * vX_[1100] + vX_[6006] * vX_[1273] + vX_[5994] * vX_[1115] +
+ vX_[9133] * vX_[1081] + vX_[5997] * vX_[186] + vX_[6022] * vX_[1336] + vX_[5992] * vX_[1108] +
+ vX_[3174] * vX_[1278] + vX_[2055] * vX_[1113] + vX_[9167] * vX_[1290] + vX_[5564] * vX_[166] +
+ vX_[5983] * vX_[1136] + vX_[8278] * vX_[1284] + vX_[7409] * vX_[1123] + vX_[3128] * vX_[1186] +
+ vX_[2727] * vX_[1204] + vX_[5989] * vX_[1224] + vX_[4530] * vX_[1211] + vX_[8660] * vX_[1215] +
+ vX_[2746] * vX_[1175] + vX_[1620] * vX_[1161] + vX_[3169] * vX_[1169] + vX_[5961] * vX_[1197] +
+ vX_[419] * vX_[1255] + vX_[7817] * vX_[1204] + vX_[5595] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[5974] * vX_[1111] + vX_[5971] * vX_[1337] + vX_[3162] * vX_[207] + vX_[9179] * -0.00370574557885489 +
+ vX_[7825] * -2.96459646308422e-05 + vX_[9155] * vX_[179] + vX_[2608] * vX_[173] + vX_[4766] * vX_[218] +
+ vX_[5970] * vX_[217] + vX_[3114] * vX_[216] + vX_[9173] * vX_[797] + vX_[5987] * vX_[775] -
+ (vX_[5975] * vX_[2920] + vX_[2098] * vX_[2924]) +
+ (vX_[5976] * vX_[1111] + vX_[5967] * vX_[176] + vX_[5979] * vX_[177] + vX_[5964] * -0.00370574557885489 +
+ vX_[5980] * 0.880970354035369 +
+ (0 - (vX_[2608] * vX_[169] + vX_[5544] * vX_[175] + vX_[5982] + vX_[7441] * vX_[170] +
+ vX_[5979] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[7441]) * -0.110125 + (0 - vX_[3079]) * -0.001762 + vX_[9173] * vX_[816]) *
+ 0.35 -
+ (vX_[5981] * vX_[1329] + vX_[7855] * vX_[208] + vX_[2457] * vX_[174] + vX_[5544] * vX_[178] +
+ vX_[3172] * vX_[219] + vX_[1904] * vX_[1018]) +
+ vX_[5984] * vX_[1080] + vX_[6019] * vX_[1318] + vX_[6004] * vX_[1266] + vX_[6021] * vX_[1325] +
+ vX_[5990] * vX_[1097] + vX_[6006] * vX_[1271] + vX_[3145] * vX_[1113] + vX_[6010] * vX_[1288] +
+ vX_[6003] * vX_[166] + vX_[6022] * vX_[1333] + vX_[5992] * vX_[1105] + vX_[6007] * vX_[1277] +
+ vX_[5995] * vX_[1118] + vX_[6011] * vX_[1081] + vX_[5998] * vX_[1128] + vX_[6012] * vX_[1134] +
+ vX_[6008] * vX_[1282] + vX_[6023] * vX_[1122] + vX_[3120] * vX_[1184] + vX_[2857] * vX_[1202] +
+ vX_[5989] * vX_[1222] + vX_[4530] * vX_[1212] + vX_[8660] * vX_[1217] + vX_[2746] * vX_[1173] +
+ vX_[1620] * vX_[1163] + vX_[3173] * vX_[1167] + vX_[5962] * vX_[1196] + vX_[5996] * vX_[1200] +
+ vX_[6199] * vX_[1253] + vX_[2720] * vX_[1248] + vX_[5588] * vX_[1177]) *
+ vX_[1071];
+ vX_[8676] = vX_[9196] + vX_[2730] * vX_[186] + vX_[8676] * vX_[197] + vX_[6403] * vX_[1129];
+ vX_[459] = vX_[9196] + vX_[9256] * vX_[166] + vX_[459] * vX_[202] + vX_[6404] * vX_[1969];
+ vX_[9196] = vX_[8676] - vX_[459];
+ vX_[9104] = vX_[2730] * vX_[166] + vX_[9256] * vX_[186] + vX_[2333] * vX_[202] + vX_[9104] * vX_[197] +
+ vX_[6403] * vX_[1969] + vX_[6404] * vX_[1129];
+ vX_[2333] = vX_[9196] * vX_[169] + vX_[9104] * vX_[175];
+ vX_[9256] = vX_[9196] * vX_[167] + vX_[9104] * vX_[169];
+ vX_[8676] = 0 - vX_[8676];
+ vX_[2730] = 0 - vX_[9104];
+ vX_[6393] = (vX_[8676] * vX_[190] + vX_[2730] * vX_[181] +
+ (0 - (vX_[9117] * vX_[186] + vX_[5336] * vX_[195] + vX_[2735] * vX_[197] + vX_[6403] * vX_[1861] +
+ vX_[6400] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[9117] * vX_[166] + vX_[5336] * vX_[186] + vX_[6393] * vX_[197] + vX_[6403] * vX_[1935] +
+ vX_[6410] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[8676] = vX_[6406] * vX_[1321] + vX_[8676] * vX_[191] + vX_[6393];
+ vX_[459] = 0 - vX_[459];
+ vX_[6394] = (vX_[459] * vX_[181] +
+ (0 - (vX_[4938] * vX_[186] + vX_[2744] * vX_[195] + vX_[6398] * vX_[202] + vX_[6404] * vX_[1861] +
+ vX_[6400] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[4938] * vX_[166] + vX_[2744] * vX_[186] + vX_[6394] * vX_[202] + vX_[6404] * vX_[1935] +
+ vX_[6410] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[459] = vX_[6407] * vX_[1321] + vX_[2730] * vX_[191] + vX_[459] * vX_[184] + vX_[6394];
+ vX_[2712] = vX_[2717] + vX_[2252] * vX_[197] + vX_[2712] * vX_[202] * 2. + vX_[6399] * vX_[1935] - vX_[459];
+ vX_[5973] = 0 - (vX_[8322] + vX_[5973] * vX_[202] + vX_[2729] * vX_[197] * 2. + vX_[6399] * vX_[1861]) + vX_[8676];
+ vX_[2729] = vX_[2729] + vX_[6400] * vX_[1861];
+ vX_[6396] = vX_[6396] + vX_[6410] * vX_[1935];
+ vX_[8322] = vX_[2729] - vX_[6396];
+ vX_[2252] = vX_[2252] + vX_[6400] * vX_[1935] + vX_[6410] * vX_[1861];
+ vX_[6399] = vX_[8322] * vX_[169] + vX_[2252] * vX_[175];
+ vX_[2717] = vX_[8322] * vX_[167] + vX_[2252] * vX_[169];
+ vX_[2730] = vX_[6399] * vX_[167] + vX_[2717] * vX_[169];
+ vX_[6398] = vX_[6396] + vX_[6399] * vX_[169];
+ vX_[2744] = vX_[6396] + vX_[2717] * vX_[167];
+ vX_[6396] = vX_[2729] + vX_[6396] + 0 - vX_[6406] * vX_[2020] - vX_[6407] * vX_[1293] - vX_[6408] * vX_[1262] +
+ vX_[6408] * vX_[1321] - vX_[6409] * vX_[1082] - vX_[6411] * vX_[1138] - vX_[6393] * vX_[191] -
+ vX_[6394] * vX_[184] -
+ ((0 - vX_[2729]) * 2.1e-05 + (0 - vX_[2252]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[6396]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[6398] - vX_[2744];
+ vX_[2729] = 0 - vX_[6396];
+ vX_[6394] = vX_[8676] * vX_[169] + vX_[459] * vX_[175];
+ vX_[6393] = vX_[6394] + vX_[2729] * vX_[170];
+ vX_[6411] = vX_[8676] * vX_[167] + vX_[459] * vX_[169];
+ vX_[6409] = vX_[6411] + vX_[6396] * vX_[168];
+ vX_[6408] = 0 - vX_[2744];
+ jac[533] =
+ 0 -
+ (vX_[6403] * vX_[2920] + vX_[6404] * vX_[1111] + vX_[6400] * vX_[1329] + vX_[6410] * vX_[1337] +
+ vX_[9196] * vX_[208] + vX_[9104] * vX_[207] + vX_[2333] * -0.463218197356862 +
+ vX_[9256] * -0.00370574557885489 + vX_[8676] * vX_[174] + vX_[459] * vX_[179] + vX_[2712] * vX_[178] +
+ vX_[5973] * vX_[173] + vX_[8322] * vX_[219] + vX_[2252] * vX_[218] + vX_[6399] * vX_[215] +
+ vX_[2717] * vX_[217] +
+ (vX_[2730] * vX_[177] + vX_[2729] * vX_[171] + vX_[6398] * vX_[172] + (0 - vX_[6393]) * 0.417781802643138 +
+ (0 - (vX_[2712] * vX_[167] + vX_[5973] * vX_[169]) + vX_[6394] + vX_[6398] * vX_[170]) * 0.881 +
+ (0 - vX_[6409]) * -0.00370574557885489 + vX_[2730] * -0.000881 + vX_[6398] * -0.22025) *
+ -0.35 +
+ vX_[2741] * vX_[797] + vX_[8715] * vX_[2924] + vX_[9087] * vX_[775] + vX_[6416] * vX_[1018] +
+ (vX_[6405] * vX_[2920] + vX_[2741] * vX_[816]) * 0.35 + vX_[6447] * vX_[1316] + vX_[2307] * vX_[1087] +
+ vX_[6450] * vX_[1328] + vX_[6419] * vX_[1100] + vX_[6435] * vX_[1273] + vX_[6423] * vX_[1115] +
+ vX_[2295] * vX_[1081] + vX_[6426] * vX_[186] + vX_[6451] * vX_[1336] + vX_[6421] * vX_[1108] +
+ vX_[2713] * vX_[1278] + vX_[3297] * vX_[1113] + vX_[4138] * vX_[1290] + vX_[5993] * vX_[166] +
+ vX_[6412] * vX_[1136] + vX_[2318] * vX_[1284] + vX_[26] * vX_[1123] + vX_[9223] * vX_[1186] +
+ vX_[2297] * vX_[1204] + vX_[6418] * vX_[1224] + vX_[8279] * vX_[1211] + vX_[2329] * vX_[1215] +
+ vX_[2342] * vX_[1175] + vX_[453] * vX_[1161] + vX_[9313] * vX_[1169] + vX_[6390] * vX_[1197] +
+ vX_[2334] * vX_[1255] + vX_[2294] * vX_[1204] + vX_[6024] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[6403] * vX_[1111] + vX_[6400] * vX_[1337] + vX_[9196] * vX_[207] + vX_[2333] * -0.00370574557885489 +
+ vX_[9256] * -2.96459646308422e-05 + vX_[8676] * vX_[179] + vX_[2712] * vX_[173] + vX_[8322] * vX_[218] +
+ vX_[6399] * vX_[217] + vX_[2717] * vX_[216] + vX_[8715] * vX_[797] + vX_[6416] * vX_[775] -
+ (vX_[6404] * vX_[2920] + vX_[2741] * vX_[2924]) +
+ (vX_[6405] * vX_[1111] + vX_[6396] * vX_[176] + vX_[6408] * vX_[177] + vX_[6393] * -0.00370574557885489 +
+ vX_[6409] * 0.880970354035369 +
+ (0 - (vX_[2712] * vX_[169] + vX_[5973] * vX_[175] + vX_[6411] + vX_[2730] * vX_[170] +
+ vX_[6408] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[2730]) * -0.110125 + (0 - vX_[2744]) * -0.001762 + vX_[8715] * vX_[816]) *
+ 0.35 -
+ (vX_[6410] * vX_[1329] + vX_[9104] * vX_[208] + vX_[459] * vX_[174] + vX_[5973] * vX_[178] +
+ vX_[2252] * vX_[219] + vX_[9087] * vX_[1018]) +
+ vX_[6413] * vX_[1080] + vX_[6448] * vX_[1318] + vX_[6433] * vX_[1266] + vX_[6450] * vX_[1325] +
+ vX_[6419] * vX_[1097] + vX_[6435] * vX_[1271] + vX_[2287] * vX_[1113] + vX_[6439] * vX_[1288] +
+ vX_[6432] * vX_[166] + vX_[6451] * vX_[1333] + vX_[6421] * vX_[1105] + vX_[6436] * vX_[1277] +
+ vX_[6424] * vX_[1118] + vX_[6440] * vX_[1081] + vX_[6427] * vX_[1128] + vX_[6441] * vX_[1134] +
+ vX_[6437] * vX_[1282] + vX_[6452] * vX_[1122] + vX_[8685] * vX_[1184] + vX_[2330] * vX_[1202] +
+ vX_[6418] * vX_[1222] + vX_[8279] * vX_[1212] + vX_[2329] * vX_[1217] + vX_[2342] * vX_[1173] +
+ vX_[453] * vX_[1163] + vX_[2742] * vX_[1167] + vX_[6391] * vX_[1196] + vX_[6425] * vX_[1200] +
+ vX_[6628] * vX_[1253] + vX_[2303] * vX_[1248] + vX_[6017] * vX_[1177]) *
+ vX_[1071];
+ vX_[4121] = vX_[1429] + vX_[4482] * vX_[186] + vX_[4121] * vX_[197] + vX_[6822] * vX_[1129];
+ vX_[9353] = vX_[1429] + vX_[1357] * vX_[166] + vX_[9353] * vX_[202] + vX_[6823] * vX_[1969];
+ vX_[1429] = vX_[4121] - vX_[9353];
+ vX_[1405] = vX_[4482] * vX_[166] + vX_[1357] * vX_[186] + vX_[6697] * vX_[202] + vX_[1405] * vX_[197] +
+ vX_[6822] * vX_[1969] + vX_[6823] * vX_[1129];
+ vX_[6697] = vX_[1429] * vX_[169] + vX_[1405] * vX_[175];
+ vX_[1357] = vX_[1429] * vX_[167] + vX_[1405] * vX_[169];
+ vX_[4121] = 0 - vX_[4121];
+ vX_[4482] = 0 - vX_[1405];
+ vX_[9073] = (vX_[4121] * vX_[190] + vX_[4482] * vX_[181] +
+ (0 - (vX_[6703] * vX_[186] + vX_[1366] * vX_[195] + vX_[6817] * vX_[197] + vX_[6822] * vX_[1861] +
+ vX_[6819] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[6703] * vX_[166] + vX_[1366] * vX_[186] + vX_[9073] * vX_[197] + vX_[6822] * vX_[1935] +
+ vX_[6829] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[4121] = vX_[6825] * vX_[1321] + vX_[4121] * vX_[191] + vX_[9073];
+ vX_[9353] = 0 - vX_[9353];
+ vX_[6699] = (vX_[9353] * vX_[181] +
+ (0 - (vX_[1598] * vX_[186] + vX_[6693] * vX_[195] + vX_[4323] * vX_[202] + vX_[6823] * vX_[1861] +
+ vX_[6819] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[1598] * vX_[166] + vX_[6693] * vX_[186] + vX_[6699] * vX_[202] + vX_[6823] * vX_[1935] +
+ vX_[6829] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[9353] = vX_[6826] * vX_[1321] + vX_[4482] * vX_[191] + vX_[9353] * vX_[184] + vX_[6699];
+ vX_[9067] = vX_[1364] + vX_[1632] * vX_[197] + vX_[9067] * vX_[202] * 2. + vX_[6818] * vX_[1935] - vX_[9353];
+ vX_[9054] = 0 - (vX_[3534] + vX_[9054] * vX_[202] + vX_[1648] * vX_[197] * 2. + vX_[6818] * vX_[1861]) + vX_[4121];
+ vX_[1648] = vX_[1648] + vX_[6819] * vX_[1861];
+ vX_[6815] = vX_[6815] + vX_[6829] * vX_[1935];
+ vX_[3534] = vX_[1648] - vX_[6815];
+ vX_[1632] = vX_[1632] + vX_[6819] * vX_[1935] + vX_[6829] * vX_[1861];
+ vX_[6818] = vX_[3534] * vX_[169] + vX_[1632] * vX_[175];
+ vX_[1364] = vX_[3534] * vX_[167] + vX_[1632] * vX_[169];
+ vX_[4482] = vX_[6818] * vX_[167] + vX_[1364] * vX_[169];
+ vX_[4323] = vX_[6815] + vX_[6818] * vX_[169];
+ vX_[6693] = vX_[6815] + vX_[1364] * vX_[167];
+ vX_[6815] = vX_[1648] + vX_[6815] + 0 - vX_[6825] * vX_[2020] - vX_[6826] * vX_[1293] - vX_[6827] * vX_[1262] +
+ vX_[6827] * vX_[1321] - vX_[6828] * vX_[1082] - vX_[6830] * vX_[1138] - vX_[9073] * vX_[191] -
+ vX_[6699] * vX_[184] -
+ ((0 - vX_[1648]) * 2.1e-05 + (0 - vX_[1632]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[6815]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[4323] - vX_[6693];
+ vX_[1648] = 0 - vX_[6815];
+ vX_[6699] = vX_[4121] * vX_[169] + vX_[9353] * vX_[175];
+ vX_[9073] = vX_[6699] + vX_[1648] * vX_[170];
+ vX_[6830] = vX_[4121] * vX_[167] + vX_[9353] * vX_[169];
+ vX_[6828] = vX_[6830] + vX_[6815] * vX_[168];
+ vX_[6827] = 0 - vX_[6693];
+ jac[534] =
+ 0 -
+ (vX_[6822] * vX_[2920] + vX_[6823] * vX_[1111] + vX_[6819] * vX_[1329] + vX_[6829] * vX_[1337] +
+ vX_[1429] * vX_[208] + vX_[1405] * vX_[207] + vX_[6697] * -0.463218197356862 +
+ vX_[1357] * -0.00370574557885489 + vX_[4121] * vX_[174] + vX_[9353] * vX_[179] + vX_[9067] * vX_[178] +
+ vX_[9054] * vX_[173] + vX_[3534] * vX_[219] + vX_[1632] * vX_[218] + vX_[6818] * vX_[215] +
+ vX_[1364] * vX_[217] +
+ (vX_[4482] * vX_[177] + vX_[1648] * vX_[171] + vX_[4323] * vX_[172] + (0 - vX_[9073]) * 0.417781802643138 +
+ (0 - (vX_[9067] * vX_[167] + vX_[9054] * vX_[169]) + vX_[6699] + vX_[4323] * vX_[170]) * 0.881 +
+ (0 - vX_[6828]) * -0.00370574557885489 + vX_[4482] * -0.000881 + vX_[4323] * -0.22025) *
+ -0.35 +
+ vX_[416] * vX_[797] + vX_[9092] * vX_[2924] + vX_[1654] * vX_[775] + vX_[6835] * vX_[1018] +
+ (vX_[6824] * vX_[2920] + vX_[416] * vX_[816]) * 0.35 + vX_[6866] * vX_[1316] + vX_[4319] * vX_[1087] +
+ vX_[6869] * vX_[1328] + vX_[6838] * vX_[1100] + vX_[6854] * vX_[1273] + vX_[6842] * vX_[1115] +
+ vX_[9017] * vX_[1081] + vX_[6845] * vX_[186] + vX_[6870] * vX_[1336] + vX_[6840] * vX_[1108] +
+ vX_[9110] * vX_[1278] + vX_[1148] * vX_[1113] + vX_[4503] * vX_[1290] + vX_[6422] * vX_[166] +
+ vX_[6831] * vX_[1136] + vX_[7853] * vX_[1284] + vX_[9116] * vX_[1123] + vX_[915] * vX_[1186] +
+ vX_[2058] * vX_[1204] + vX_[6837] * vX_[1224] + vX_[9240] * vX_[1211] + vX_[1511] * vX_[1215] +
+ vX_[1149] * vX_[1175] + vX_[1000] * vX_[1161] + vX_[1891] * vX_[1169] + vX_[6812] * vX_[1197] +
+ vX_[4469] * vX_[1255] + vX_[1609] * vX_[1204] + vX_[6453] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[6822] * vX_[1111] + vX_[6819] * vX_[1337] + vX_[1429] * vX_[207] + vX_[6697] * -0.00370574557885489 +
+ vX_[1357] * -2.96459646308422e-05 + vX_[4121] * vX_[179] + vX_[9067] * vX_[173] + vX_[3534] * vX_[218] +
+ vX_[6818] * vX_[217] + vX_[1364] * vX_[216] + vX_[9092] * vX_[797] + vX_[6835] * vX_[775] -
+ (vX_[6823] * vX_[2920] + vX_[416] * vX_[2924]) +
+ (vX_[6824] * vX_[1111] + vX_[6815] * vX_[176] + vX_[6827] * vX_[177] + vX_[9073] * -0.00370574557885489 +
+ vX_[6828] * 0.880970354035369 +
+ (0 - (vX_[9067] * vX_[169] + vX_[9054] * vX_[175] + vX_[6830] + vX_[4482] * vX_[170] +
+ vX_[6827] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[4482]) * -0.110125 + (0 - vX_[6693]) * -0.001762 + vX_[9092] * vX_[816]) *
+ 0.35 -
+ (vX_[6829] * vX_[1329] + vX_[1405] * vX_[208] + vX_[9353] * vX_[174] + vX_[9054] * vX_[178] +
+ vX_[1632] * vX_[219] + vX_[1654] * vX_[1018]) +
+ vX_[6832] * vX_[1080] + vX_[6867] * vX_[1318] + vX_[6852] * vX_[1266] + vX_[6869] * vX_[1325] +
+ vX_[6838] * vX_[1097] + vX_[6854] * vX_[1271] + vX_[1424] * vX_[1113] + vX_[6858] * vX_[1288] +
+ vX_[6851] * vX_[166] + vX_[6870] * vX_[1333] + vX_[6840] * vX_[1105] + vX_[6855] * vX_[1277] +
+ vX_[6843] * vX_[1118] + vX_[6859] * vX_[1081] + vX_[6846] * vX_[1128] + vX_[6860] * vX_[1134] +
+ vX_[6856] * vX_[1282] + vX_[6871] * vX_[1122] + vX_[7420] * vX_[1184] + vX_[1245] * vX_[1202] +
+ vX_[6837] * vX_[1222] + vX_[9240] * vX_[1212] + vX_[1511] * vX_[1217] + vX_[1149] * vX_[1173] +
+ vX_[1000] * vX_[1163] + vX_[1825] * vX_[1167] + vX_[6813] * vX_[1196] + vX_[6844] * vX_[1200] +
+ vX_[7047] * vX_[1253] + vX_[1535] * vX_[1248] + vX_[6695] * vX_[1177]) *
+ vX_[1071];
+ vX_[7204] = vX_[1484] + vX_[1240] * vX_[186] + vX_[7204] * vX_[197] + vX_[7249] * vX_[1129];
+ vX_[1155] = vX_[1484] + vX_[633] * vX_[166] + vX_[1155] * vX_[202] + vX_[7250] * vX_[1969];
+ vX_[1484] = vX_[7204] - vX_[1155];
+ vX_[1514] = vX_[1240] * vX_[166] + vX_[633] * vX_[186] + vX_[7124] * vX_[202] + vX_[1514] * vX_[197] +
+ vX_[7249] * vX_[1969] + vX_[7250] * vX_[1129];
+ vX_[7124] = vX_[1484] * vX_[169] + vX_[1514] * vX_[175];
+ vX_[633] = vX_[1484] * vX_[167] + vX_[1514] * vX_[169];
+ vX_[1066] = vX_[1065] * vX_[6438] + vX_[1066] * vX_[6691] + vX_[186] * vX_[2300] + vX_[1129];
+ vX_[7204] = 0 - vX_[7204];
+ vX_[1065] = 0 - vX_[1514];
+ vX_[539] = (vX_[7204] * vX_[190] + vX_[1065] * vX_[181] +
+ (0 - (vX_[7130] * vX_[186] + vX_[6692] * vX_[195] + vX_[7244] * vX_[197] + vX_[7249] * vX_[1861] +
+ vX_[7246] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[7130] * vX_[166] + vX_[6692] * vX_[186] + vX_[539] * vX_[197] + vX_[7249] * vX_[1935] +
+ vX_[7256] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[7204] = vX_[7116] * vX_[1066] + vX_[7252] * vX_[1321] + vX_[7204] * vX_[191] + vX_[539];
+ vX_[2300] = vX_[186] * vX_[6438] + vX_[201] * vX_[6691] + vX_[166] * vX_[2300] + vX_[1969];
+ vX_[1155] = 0 - vX_[1155];
+ vX_[7126] = (vX_[1155] * vX_[181] +
+ (0 - (vX_[1559] * vX_[186] + vX_[6698] * vX_[195] + vX_[1550] * vX_[202] + vX_[7250] * vX_[1861] +
+ vX_[7246] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[1559] * vX_[166] + vX_[6698] * vX_[186] + vX_[7126] * vX_[202] + vX_[7250] * vX_[1935] +
+ vX_[7256] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[1155] = vX_[7118] * vX_[2300] + vX_[7253] * vX_[1321] + vX_[1065] * vX_[191] + vX_[1155] * vX_[184] + vX_[7126];
+ vX_[7120] = vX_[7114] + vX_[1557] * vX_[197] + vX_[7120] * vX_[202] * 2. + vX_[7245] * vX_[1935] - vX_[1155];
+ vX_[7839] = 0 - (vX_[5177] + vX_[7839] * vX_[202] + vX_[1344] * vX_[197] * 2. + vX_[7245] * vX_[1861]) + vX_[7204];
+ vX_[1344] = vX_[1344] + vX_[7246] * vX_[1861];
+ vX_[7242] = vX_[7242] + vX_[7256] * vX_[1935];
+ vX_[5177] = vX_[1344] - vX_[7242];
+ vX_[1557] = vX_[1557] + vX_[7246] * vX_[1935] + vX_[7256] * vX_[1861];
+ vX_[7245] = vX_[5177] * vX_[169] + vX_[1557] * vX_[175];
+ vX_[7114] = vX_[5177] * vX_[167] + vX_[1557] * vX_[169];
+ vX_[1065] = vX_[7245] * vX_[167] + vX_[7114] * vX_[169];
+ vX_[6691] = -1 * vX_[6691];
+ vX_[6690] =
+ (vX_[1321] - vX_[183] * vX_[6691] - 2.1e-05 * (vX_[186] * vX_[6690] + vX_[195] * vX_[1944] + vX_[1861]) -
+ -0.000102 * (vX_[166] * vX_[6690] + vX_[186] * vX_[1944] + vX_[1935]) - vX_[190] * vX_[1066] -
+ vX_[181] * vX_[2300]) /
+ vX_[183];
+ vX_[1944] = vX_[7242] + vX_[7245] * vX_[169];
+ vX_[7118] = vX_[7242] + vX_[7114] * vX_[167];
+ vX_[7242] = vX_[1344] + vX_[7242] + 0 - vX_[7109] * vX_[6690] + vX_[7123] * vX_[6691] - vX_[7252] * vX_[2020] -
+ vX_[7253] * vX_[1293] - vX_[7254] * vX_[1262] + vX_[7254] * vX_[1321] - vX_[7255] * vX_[1082] -
+ vX_[7257] * vX_[1138] - vX_[539] * vX_[191] - vX_[7126] * vX_[184] -
+ ((0 - vX_[1344]) * 2.1e-05 + (0 - vX_[1557]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[7242]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[1944] - vX_[7118];
+ vX_[1344] = 0 - vX_[7242];
+ vX_[7126] = vX_[7204] * vX_[169] + vX_[1155] * vX_[175];
+ vX_[539] = vX_[7126] + vX_[1344] * vX_[170];
+ vX_[7257] = vX_[7204] * vX_[167] + vX_[1155] * vX_[169];
+ vX_[7255] = vX_[7257] + vX_[7242] * vX_[168];
+ vX_[7254] = 0 - vX_[7118];
+ jac[535] =
+ 0 -
+ (vX_[7249] * vX_[2920] + vX_[7250] * vX_[1111] + vX_[7246] * vX_[1329] + vX_[7256] * vX_[1337] +
+ vX_[1484] * vX_[208] + vX_[1514] * vX_[207] + vX_[7124] * -0.463218197356862 +
+ vX_[633] * -0.00370574557885489 + vX_[7204] * vX_[174] + vX_[1155] * vX_[179] + vX_[7120] * vX_[178] +
+ vX_[7839] * vX_[173] + vX_[5177] * vX_[219] + vX_[1557] * vX_[218] + vX_[7245] * vX_[215] +
+ vX_[7114] * vX_[217] +
+ (vX_[1065] * vX_[177] + vX_[1344] * vX_[171] + vX_[1944] * vX_[172] + (0 - vX_[539]) * 0.417781802643138 +
+ (0 - (vX_[7120] * vX_[167] + vX_[7839] * vX_[169]) + vX_[7126] + vX_[1944] * vX_[170]) * 0.881 +
+ (0 - vX_[7255]) * -0.00370574557885489 + vX_[1065] * -0.000881 + vX_[1944] * -0.22025) *
+ -0.35 +
+ vX_[8999] * vX_[797] + vX_[1644] * vX_[2924] + vX_[1474] * vX_[775] + vX_[7262] * vX_[1018] +
+ (vX_[7251] * vX_[2920] + vX_[8999] * vX_[816]) * 0.35 + vX_[7293] * vX_[1316] + vX_[299] * vX_[1087] +
+ vX_[7296] * vX_[1328] + vX_[7265] * vX_[1100] + vX_[7281] * vX_[1273] + vX_[7269] * vX_[1115] +
+ vX_[329] * vX_[1081] + vX_[7272] * vX_[186] + vX_[7297] * vX_[1336] + vX_[7267] * vX_[1108] +
+ vX_[8972] * vX_[1278] + vX_[9376] * vX_[1113] + vX_[331] * vX_[1290] + vX_[9034] * vX_[166] +
+ vX_[7258] * vX_[1136] + vX_[323] * vX_[1284] + vX_[1493] * vX_[1123] + vX_[383] * vX_[1186] +
+ vX_[325] * vX_[1204] + vX_[7264] * vX_[1224] + vX_[1645] * vX_[1211] + vX_[314] * vX_[1215] +
+ vX_[309] * vX_[1175] + vX_[352] * vX_[1161] + vX_[1420] * vX_[1169] + vX_[7239] * vX_[1197] +
+ vX_[319] * vX_[1255] + vX_[316] * vX_[1204] + vX_[1495] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[7249] * vX_[1111] + vX_[7246] * vX_[1337] + vX_[1484] * vX_[207] + vX_[7124] * -0.00370574557885489 +
+ vX_[633] * -2.96459646308422e-05 + vX_[7204] * vX_[179] + vX_[7120] * vX_[173] + vX_[5177] * vX_[218] +
+ vX_[7245] * vX_[217] + vX_[7114] * vX_[216] + vX_[1644] * vX_[797] + vX_[7262] * vX_[775] -
+ (vX_[7250] * vX_[2920] + vX_[8999] * vX_[2924]) +
+ (vX_[7251] * vX_[1111] + vX_[7242] * vX_[176] + vX_[7254] * vX_[177] + vX_[539] * -0.00370574557885489 +
+ vX_[7255] * 0.880970354035369 +
+ (0 - (vX_[7120] * vX_[169] + vX_[7839] * vX_[175] + vX_[7257] + vX_[1065] * vX_[170] +
+ vX_[7254] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[1065]) * -0.110125 + (0 - vX_[7118]) * -0.001762 + vX_[1644] * vX_[816]) *
+ 0.35 -
+ (vX_[7256] * vX_[1329] + vX_[1514] * vX_[208] + vX_[1155] * vX_[174] + vX_[7839] * vX_[178] +
+ vX_[1557] * vX_[219] + vX_[1474] * vX_[1018]) +
+ vX_[7259] * vX_[1080] + vX_[7294] * vX_[1318] + vX_[7279] * vX_[1266] + vX_[7296] * vX_[1325] +
+ vX_[7265] * vX_[1097] + vX_[7281] * vX_[1271] + vX_[1480] * vX_[1113] + vX_[7285] * vX_[1288] +
+ vX_[7278] * vX_[166] + vX_[7297] * vX_[1333] + vX_[7267] * vX_[1105] + vX_[7282] * vX_[1277] +
+ vX_[7270] * vX_[1118] + vX_[7286] * vX_[1081] + vX_[7273] * vX_[1128] + vX_[7287] * vX_[1134] +
+ vX_[7283] * vX_[1282] + vX_[7298] * vX_[1122] + vX_[374] * vX_[1184] + vX_[310] * vX_[1202] +
+ vX_[7264] * vX_[1222] + vX_[1645] * vX_[1212] + vX_[314] * vX_[1217] + vX_[309] * vX_[1173] +
+ vX_[352] * vX_[1163] + vX_[1352] * vX_[1167] + vX_[7240] * vX_[1196] + vX_[7271] * vX_[1200] +
+ vX_[7474] * vX_[1253] + vX_[363] * vX_[1248] + vX_[7122] * vX_[1177]) *
+ vX_[1071];
+ vX_[7805] = vX_[1828] + vX_[8365] * vX_[186] + vX_[7805] * vX_[197] + vX_[7676] * vX_[1129];
+ vX_[9036] = vX_[1828] + vX_[341] * vX_[166] + vX_[9036] * vX_[202] + vX_[7677] * vX_[1969];
+ vX_[1828] = vX_[7805] - vX_[9036];
+ vX_[8611] = vX_[8365] * vX_[166] + vX_[341] * vX_[186] + vX_[7552] * vX_[202] + vX_[8611] * vX_[197] +
+ vX_[7676] * vX_[1969] + vX_[7677] * vX_[1129];
+ vX_[7552] = vX_[1828] * vX_[169] + vX_[8611] * vX_[175];
+ vX_[341] = vX_[1828] * vX_[167] + vX_[8611] * vX_[169];
+ vX_[7805] = 0 - vX_[7805];
+ vX_[8365] = 0 - vX_[8611];
+ vX_[8619] = (vX_[7805] * vX_[190] + vX_[8365] * vX_[181] +
+ (0 - (vX_[7557] * vX_[186] + vX_[7115] * vX_[195] + vX_[7671] * vX_[197] + vX_[7676] * vX_[1861] +
+ vX_[7673] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[7557] * vX_[166] + vX_[7115] * vX_[186] + vX_[8619] * vX_[197] + vX_[7676] * vX_[1935] +
+ vX_[7683] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[7805] = vX_[7544] * vX_[1066] + vX_[7679] * vX_[1321] + vX_[7805] * vX_[191] + vX_[8619];
+ vX_[9036] = 0 - vX_[9036];
+ vX_[7553] = (vX_[9036] * vX_[181] +
+ (0 - (vX_[2907] * vX_[186] + vX_[7125] * vX_[195] + vX_[9148] * vX_[202] + vX_[7677] * vX_[1861] +
+ vX_[7673] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[2907] * vX_[166] + vX_[7125] * vX_[186] + vX_[7553] * vX_[202] + vX_[7677] * vX_[1935] +
+ vX_[7683] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[9036] = vX_[7546] * vX_[2300] + vX_[7680] * vX_[1321] + vX_[8365] * vX_[191] + vX_[9036] * vX_[184] + vX_[7553];
+ vX_[7541] = vX_[2497] + vX_[2444] * vX_[197] + vX_[7541] * vX_[202] * 2. + vX_[7672] * vX_[1935] - vX_[9036];
+ vX_[7550] = 0 - (vX_[2299] + vX_[7550] * vX_[202] + vX_[1864] * vX_[197] * 2. + vX_[7672] * vX_[1861]) + vX_[7805];
+ vX_[1864] = vX_[1864] + vX_[7673] * vX_[1861];
+ vX_[7669] = vX_[7669] + vX_[7683] * vX_[1935];
+ vX_[2299] = vX_[1864] - vX_[7669];
+ vX_[2444] = vX_[2444] + vX_[7673] * vX_[1935] + vX_[7683] * vX_[1861];
+ vX_[7672] = vX_[2299] * vX_[169] + vX_[2444] * vX_[175];
+ vX_[2497] = vX_[2299] * vX_[167] + vX_[2444] * vX_[169];
+ vX_[8365] = vX_[7672] * vX_[167] + vX_[2497] * vX_[169];
+ vX_[7546] = vX_[7669] + vX_[7672] * vX_[169];
+ vX_[9148] = vX_[7669] + vX_[2497] * vX_[167];
+ vX_[7669] = vX_[1864] + vX_[7669] + 0 - vX_[7537] * vX_[6690] + vX_[7551] * vX_[6691] - vX_[7679] * vX_[2020] -
+ vX_[7680] * vX_[1293] - vX_[7681] * vX_[1262] + vX_[7681] * vX_[1321] - vX_[7682] * vX_[1082] -
+ vX_[7684] * vX_[1138] - vX_[8619] * vX_[191] - vX_[7553] * vX_[184] -
+ ((0 - vX_[1864]) * 2.1e-05 + (0 - vX_[2444]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[7669]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[7546] - vX_[9148];
+ vX_[1864] = 0 - vX_[7669];
+ vX_[7553] = vX_[7805] * vX_[169] + vX_[9036] * vX_[175];
+ vX_[8619] = vX_[7553] + vX_[1864] * vX_[170];
+ vX_[7684] = vX_[7805] * vX_[167] + vX_[9036] * vX_[169];
+ vX_[7682] = vX_[7684] + vX_[7669] * vX_[168];
+ vX_[6690] = vX_[6691] + vX_[6690];
+ vX_[6691] = 0 - vX_[9148];
+ jac[536] =
+ 0 -
+ (-4.20629464115198 * vX_[1066] + -0.0336503571292158 * vX_[2300] + vX_[7676] * vX_[2920] +
+ vX_[7677] * vX_[1111] + vX_[7673] * vX_[1329] + vX_[7683] * vX_[1337] + vX_[1828] * vX_[208] +
+ vX_[8611] * vX_[207] + vX_[7552] * -0.463218197356862 + vX_[341] * -0.00370574557885489 +
+ vX_[7805] * vX_[174] + vX_[9036] * vX_[179] + vX_[7541] * vX_[178] + vX_[7550] * vX_[173] +
+ vX_[2299] * vX_[219] + vX_[2444] * vX_[218] + vX_[7672] * vX_[215] + vX_[2497] * vX_[217] +
+ (vX_[8365] * vX_[177] + vX_[1864] * vX_[171] + vX_[7546] * vX_[172] + (0 - vX_[8619]) * 0.417781802643138 +
+ (0 - (vX_[7541] * vX_[167] + vX_[7550] * vX_[169]) + vX_[7553] + vX_[7546] * vX_[170]) * 0.881 +
+ (0 - vX_[7682]) * -0.00370574557885489 + vX_[8365] * -0.000881 + vX_[7546] * -0.22025) *
+ -0.35 +
+ vX_[2455] * vX_[797] + vX_[2478] * vX_[2924] + vX_[8614] * vX_[775] + vX_[7689] * vX_[1018] +
+ (-4.20629464115198 * vX_[6690] + vX_[7678] * vX_[2920] + vX_[2455] * vX_[816]) * 0.35 +
+ vX_[7720] * vX_[1316] + vX_[9200] * vX_[1087] + vX_[7723] * vX_[1328] + vX_[7692] * vX_[1100] +
+ vX_[7708] * vX_[1273] + vX_[7696] * vX_[1115] + vX_[8625] * vX_[1081] + vX_[7699] * vX_[186] +
+ vX_[7724] * vX_[1336] + vX_[7694] * vX_[1108] + vX_[9138] * vX_[1278] + vX_[1523] * vX_[1113] +
+ vX_[2088] * vX_[1290] + vX_[9292] * vX_[166] + vX_[7685] * vX_[1136] + vX_[9180] * vX_[1284] +
+ vX_[9144] * vX_[1123] + vX_[1467] * vX_[1186] + vX_[8701] * vX_[1204] + vX_[7691] * vX_[1224] +
+ vX_[7583] * vX_[1211] + vX_[8679] * vX_[1215] + vX_[9276] * vX_[1175] + vX_[8193] * vX_[1161] +
+ vX_[8623] * vX_[1169] + vX_[1844] * vX_[1197] + vX_[8585] * vX_[1255] + vX_[9288] * vX_[1204] +
+ vX_[7548] * vX_[1179]) *
+ vX_[1073] +
+ (-0.0336503571292158 * vX_[1066] + vX_[7676] * vX_[1111] + vX_[7673] * vX_[1337] + vX_[1828] * vX_[207] +
+ vX_[7552] * -0.00370574557885489 + vX_[341] * -2.96459646308422e-05 + vX_[7805] * vX_[179] +
+ vX_[7541] * vX_[173] + vX_[2299] * vX_[218] + vX_[7672] * vX_[217] + vX_[2497] * vX_[216] +
+ vX_[2478] * vX_[797] + vX_[7689] * vX_[775] -
+ (-4.20629464115198 * vX_[2300] + vX_[7677] * vX_[2920] + vX_[2455] * vX_[2924]) +
+ (-0.0336503571292158 * vX_[6690] + vX_[7678] * vX_[1111] + vX_[7669] * vX_[176] + vX_[6691] * vX_[177] +
+ vX_[8619] * -0.00370574557885489 + vX_[7682] * 0.880970354035369 +
+ (0 - (vX_[7541] * vX_[169] + vX_[7550] * vX_[175] + vX_[7684] + vX_[8365] * vX_[170] +
+ vX_[6691] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[8365]) * -0.110125 + (0 - vX_[9148]) * -0.001762 + vX_[2478] * vX_[816]) *
+ 0.35 -
+ (vX_[7683] * vX_[1329] + vX_[8611] * vX_[208] + vX_[9036] * vX_[174] + vX_[7550] * vX_[178] +
+ vX_[2444] * vX_[219] + vX_[8614] * vX_[1018]) +
+ vX_[7686] * vX_[1080] + vX_[7721] * vX_[1318] + vX_[7706] * vX_[1266] + vX_[7723] * vX_[1325] +
+ vX_[7692] * vX_[1097] + vX_[7708] * vX_[1271] + vX_[8664] * vX_[1113] + vX_[7712] * vX_[1288] +
+ vX_[7705] * vX_[166] + vX_[7724] * vX_[1333] + vX_[7694] * vX_[1105] + vX_[7709] * vX_[1277] +
+ vX_[7697] * vX_[1118] + vX_[7713] * vX_[1081] + vX_[7700] * vX_[1128] + vX_[7714] * vX_[1134] +
+ vX_[7710] * vX_[1282] + vX_[7725] * vX_[1122] + vX_[8610] * vX_[1184] + vX_[8681] * vX_[1202] +
+ vX_[7691] * vX_[1222] + vX_[7583] * vX_[1212] + vX_[8679] * vX_[1217] + vX_[9276] * vX_[1173] +
+ vX_[8193] * vX_[1163] + vX_[9175] * vX_[1167] + vX_[6777] * vX_[1196] + vX_[7698] * vX_[1200] +
+ vX_[7901] * vX_[1253] + vX_[9286] * vX_[1248] + vX_[7664] * vX_[1177]) *
+ vX_[1071];
+ vX_[468] = vX_[1730] + vX_[449] * vX_[186] + vX_[468] * vX_[197] + vX_[8095] * vX_[1129];
+ vX_[494] = vX_[1730] + vX_[9298] * vX_[166] + vX_[494] * vX_[202] + vX_[8096] * vX_[1969];
+ vX_[1730] = vX_[468] - vX_[494];
+ vX_[2929] = vX_[449] * vX_[166] + vX_[9298] * vX_[186] + vX_[2815] * vX_[202] + vX_[2929] * vX_[197] +
+ vX_[8095] * vX_[1969] + vX_[8096] * vX_[1129];
+ vX_[2815] = vX_[1730] * vX_[169] + vX_[2929] * vX_[175];
+ vX_[9298] = vX_[1730] * vX_[167] + vX_[2929] * vX_[169];
+ vX_[468] = 0 - vX_[468];
+ vX_[449] = 0 - vX_[2929];
+ vX_[8085] = (vX_[468] * vX_[190] + vX_[449] * vX_[181] +
+ (0 - (vX_[1910] * vX_[186] + vX_[7536] * vX_[195] + vX_[8194] * vX_[197] + vX_[8095] * vX_[1861] +
+ vX_[8092] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[1910] * vX_[166] + vX_[7536] * vX_[186] + vX_[8085] * vX_[197] + vX_[8095] * vX_[1935] +
+ vX_[8102] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[468] = vX_[8098] * vX_[1321] + vX_[468] * vX_[191] + vX_[8085];
+ vX_[494] = 0 - vX_[494];
+ vX_[8086] = (vX_[494] * vX_[181] +
+ (0 - (vX_[7543] * vX_[186] + vX_[450] * vX_[195] + vX_[8090] * vX_[202] + vX_[8096] * vX_[1861] +
+ vX_[8092] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[7543] * vX_[166] + vX_[450] * vX_[186] + vX_[8086] * vX_[202] + vX_[8096] * vX_[1935] +
+ vX_[8102] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[494] = vX_[8099] * vX_[1321] + vX_[449] * vX_[191] + vX_[494] * vX_[184] + vX_[8086];
+ vX_[9299] = vX_[650] + vX_[9085] * vX_[197] + vX_[9299] * vX_[202] * 2. + vX_[8091] * vX_[1935] - vX_[494];
+ vX_[7675] = 0 - (vX_[6694] + vX_[7675] * vX_[202] + vX_[467] * vX_[197] * 2. + vX_[8091] * vX_[1861]) + vX_[468];
+ vX_[467] = vX_[467] + vX_[8092] * vX_[1861];
+ vX_[8088] = vX_[8088] + vX_[8102] * vX_[1935];
+ vX_[6694] = vX_[467] - vX_[8088];
+ vX_[9085] = vX_[9085] + vX_[8092] * vX_[1935] + vX_[8102] * vX_[1861];
+ vX_[8091] = vX_[6694] * vX_[169] + vX_[9085] * vX_[175];
+ vX_[650] = vX_[6694] * vX_[167] + vX_[9085] * vX_[169];
+ vX_[449] = vX_[8091] * vX_[167] + vX_[650] * vX_[169];
+ vX_[8090] = vX_[8088] + vX_[8091] * vX_[169];
+ vX_[450] = vX_[8088] + vX_[650] * vX_[167];
+ vX_[8088] = vX_[467] + vX_[8088] + 0 - vX_[8098] * vX_[2020] - vX_[8099] * vX_[1293] - vX_[8100] * vX_[1262] +
+ vX_[8100] * vX_[1321] - vX_[8101] * vX_[1082] - vX_[8103] * vX_[1138] - vX_[8085] * vX_[191] -
+ vX_[8086] * vX_[184] -
+ ((0 - vX_[467]) * 2.1e-05 + (0 - vX_[9085]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[8088]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[8090] - vX_[450];
+ vX_[467] = 0 - vX_[8088];
+ vX_[8086] = vX_[468] * vX_[169] + vX_[494] * vX_[175];
+ vX_[8085] = vX_[8086] + vX_[467] * vX_[170];
+ vX_[8103] = vX_[468] * vX_[167] + vX_[494] * vX_[169];
+ vX_[8101] = vX_[8103] + vX_[8088] * vX_[168];
+ vX_[8100] = 0 - vX_[450];
+ jac[537] =
+ 0 -
+ (vX_[8095] * vX_[2920] + vX_[8096] * vX_[1111] + vX_[8092] * vX_[1329] + vX_[8102] * vX_[1337] +
+ vX_[1730] * vX_[208] + vX_[2929] * vX_[207] + vX_[2815] * -0.463218197356862 +
+ vX_[9298] * -0.00370574557885489 + vX_[468] * vX_[174] + vX_[494] * vX_[179] + vX_[9299] * vX_[178] +
+ vX_[7675] * vX_[173] + vX_[6694] * vX_[219] + vX_[9085] * vX_[218] + vX_[8091] * vX_[215] +
+ vX_[650] * vX_[217] +
+ (vX_[449] * vX_[177] + vX_[467] * vX_[171] + vX_[8090] * vX_[172] + (0 - vX_[8085]) * 0.417781802643138 +
+ (0 - (vX_[9299] * vX_[167] + vX_[7675] * vX_[169]) + vX_[8086] + vX_[8090] * vX_[170]) * 0.881 +
+ (0 - vX_[8101]) * -0.00370574557885489 + vX_[449] * -0.000881 + vX_[8090] * -0.22025) *
+ -0.35 +
+ vX_[7792] * vX_[797] + vX_[8163] * vX_[2924] + vX_[1791] * vX_[775] + vX_[8108] * vX_[1018] +
+ (vX_[8097] * vX_[2920] + vX_[7792] * vX_[816]) * 0.35 + vX_[8139] * vX_[1316] + vX_[1831] * vX_[1087] +
+ vX_[8142] * vX_[1328] + vX_[8111] * vX_[1100] + vX_[8127] * vX_[1273] + vX_[8115] * vX_[1115] +
+ vX_[7740] * vX_[1081] + vX_[8118] * vX_[186] + vX_[8143] * vX_[1336] + vX_[8113] * vX_[1108] +
+ vX_[447] * vX_[1278] + vX_[7577] * vX_[1113] + vX_[7744] * vX_[1290] + vX_[7695] * vX_[166] +
+ vX_[8104] * vX_[1136] + vX_[7737] * vX_[1284] + vX_[7663] * vX_[1123] + vX_[1841] * vX_[1186] +
+ vX_[1890] * vX_[1204] + vX_[8110] * vX_[1224] + vX_[441] * vX_[1211] + vX_[3291] * vX_[1215] +
+ vX_[1889] * vX_[1175] + vX_[1900] * vX_[1161] + vX_[7763] * vX_[1169] + vX_[8082] * vX_[1197] +
+ vX_[7775] * vX_[1255] + vX_[3666] * vX_[1204] + vX_[7726] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[8095] * vX_[1111] + vX_[8092] * vX_[1337] + vX_[1730] * vX_[207] + vX_[2815] * -0.00370574557885489 +
+ vX_[9298] * -2.96459646308422e-05 + vX_[468] * vX_[179] + vX_[9299] * vX_[173] + vX_[6694] * vX_[218] +
+ vX_[8091] * vX_[217] + vX_[650] * vX_[216] + vX_[8163] * vX_[797] + vX_[8108] * vX_[775] -
+ (vX_[8096] * vX_[2920] + vX_[7792] * vX_[2924]) +
+ (vX_[8097] * vX_[1111] + vX_[8088] * vX_[176] + vX_[8100] * vX_[177] + vX_[8085] * -0.00370574557885489 +
+ vX_[8101] * 0.880970354035369 +
+ (0 - (vX_[9299] * vX_[169] + vX_[7675] * vX_[175] + vX_[8103] + vX_[449] * vX_[170] +
+ vX_[8100] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[449]) * -0.110125 + (0 - vX_[450]) * -0.001762 + vX_[8163] * vX_[816]) *
+ 0.35 -
+ (vX_[8102] * vX_[1329] + vX_[2929] * vX_[208] + vX_[494] * vX_[174] + vX_[7675] * vX_[178] +
+ vX_[9085] * vX_[219] + vX_[1791] * vX_[1018]) +
+ vX_[8105] * vX_[1080] + vX_[8140] * vX_[1318] + vX_[8125] * vX_[1266] + vX_[8142] * vX_[1325] +
+ vX_[8111] * vX_[1097] + vX_[8127] * vX_[1271] + vX_[1760] * vX_[1113] + vX_[8131] * vX_[1288] +
+ vX_[8124] * vX_[166] + vX_[8143] * vX_[1333] + vX_[8113] * vX_[1105] + vX_[8128] * vX_[1277] +
+ vX_[8116] * vX_[1118] + vX_[8132] * vX_[1081] + vX_[8119] * vX_[1128] + vX_[8133] * vX_[1134] +
+ vX_[8129] * vX_[1282] + vX_[8144] * vX_[1122] + vX_[7766] * vX_[1184] + vX_[7849] * vX_[1202] +
+ vX_[8110] * vX_[1222] + vX_[441] * vX_[1212] + vX_[3291] * vX_[1217] + vX_[1889] * vX_[1173] +
+ vX_[1900] * vX_[1163] + vX_[8181] * vX_[1167] + vX_[8083] * vX_[1196] + vX_[8117] * vX_[1200] +
+ vX_[8320] * vX_[1253] + vX_[3109] * vX_[1248] + vX_[7719] * vX_[1177]) *
+ vX_[1071];
+ vX_[1943] = vX_[2770] + vX_[2402] * vX_[186] + vX_[1943] * vX_[197] + vX_[8524] * vX_[1129];
+ vX_[3442] = vX_[2770] + vX_[7353] * vX_[166] + vX_[3442] * vX_[202] + vX_[8525] * vX_[1969];
+ vX_[2770] = vX_[1943] - vX_[3442];
+ vX_[909] = vX_[2402] * vX_[166] + vX_[7353] * vX_[186] + vX_[7862] * vX_[202] + vX_[909] * vX_[197] +
+ vX_[8524] * vX_[1969] + vX_[8525] * vX_[1129];
+ vX_[7862] = vX_[2770] * vX_[169] + vX_[909] * vX_[175];
+ vX_[7353] = vX_[2770] * vX_[167] + vX_[909] * vX_[169];
+ vX_[1943] = 0 - vX_[1943];
+ vX_[2402] = 0 - vX_[909];
+ vX_[8514] = (vX_[1943] * vX_[190] + vX_[2402] * vX_[181] +
+ (0 - (vX_[7301] * vX_[186] + vX_[8705] * vX_[195] + vX_[1740] * vX_[197] + vX_[8524] * vX_[1861] +
+ vX_[8521] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[7301] * vX_[166] + vX_[8705] * vX_[186] + vX_[8514] * vX_[197] + vX_[8524] * vX_[1935] +
+ vX_[8531] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[1943] = vX_[8527] * vX_[1321] + vX_[1943] * vX_[191] + vX_[8514];
+ vX_[3442] = 0 - vX_[3442];
+ vX_[8515] = (vX_[3442] * vX_[181] +
+ (0 - (vX_[618] * vX_[186] + vX_[3644] * vX_[195] + vX_[8519] * vX_[202] + vX_[8525] * vX_[1861] +
+ vX_[8521] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[618] * vX_[166] + vX_[3644] * vX_[186] + vX_[8515] * vX_[202] + vX_[8525] * vX_[1935] +
+ vX_[8531] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[3442] = vX_[8528] * vX_[1321] + vX_[2402] * vX_[191] + vX_[3442] * vX_[184] + vX_[8515];
+ vX_[7336] = vX_[9048] + vX_[2766] * vX_[197] + vX_[7336] * vX_[202] * 2. + vX_[8520] * vX_[1935] - vX_[3442];
+ vX_[8094] = 0 - (vX_[7121] + vX_[8094] * vX_[202] + vX_[1917] * vX_[197] * 2. + vX_[8520] * vX_[1861]) + vX_[1943];
+ vX_[1917] = vX_[1917] + vX_[8521] * vX_[1861];
+ vX_[8517] = vX_[8517] + vX_[8531] * vX_[1935];
+ vX_[7121] = vX_[1917] - vX_[8517];
+ vX_[2766] = vX_[2766] + vX_[8521] * vX_[1935] + vX_[8531] * vX_[1861];
+ vX_[8520] = vX_[7121] * vX_[169] + vX_[2766] * vX_[175];
+ vX_[9048] = vX_[7121] * vX_[167] + vX_[2766] * vX_[169];
+ vX_[2402] = vX_[8520] * vX_[167] + vX_[9048] * vX_[169];
+ vX_[8519] = vX_[8517] + vX_[8520] * vX_[169];
+ vX_[3644] = vX_[8517] + vX_[9048] * vX_[167];
+ vX_[8517] = vX_[1917] + vX_[8517] + 0 - vX_[8527] * vX_[2020] - vX_[8528] * vX_[1293] - vX_[8529] * vX_[1262] +
+ vX_[8529] * vX_[1321] - vX_[8530] * vX_[1082] - vX_[8532] * vX_[1138] - vX_[8514] * vX_[191] -
+ vX_[8515] * vX_[184] -
+ ((0 - vX_[1917]) * 2.1e-05 + (0 - vX_[2766]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[8517]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[8519] - vX_[3644];
+ vX_[1917] = 0 - vX_[8517];
+ vX_[8515] = vX_[1943] * vX_[169] + vX_[3442] * vX_[175];
+ vX_[8514] = vX_[8515] + vX_[1917] * vX_[170];
+ vX_[8532] = vX_[1943] * vX_[167] + vX_[3442] * vX_[169];
+ vX_[8530] = vX_[8532] + vX_[8517] * vX_[168];
+ vX_[8529] = 0 - vX_[3644];
+ jac[538] =
+ 0 -
+ (vX_[8524] * vX_[2920] + vX_[8525] * vX_[1111] + vX_[8521] * vX_[1329] + vX_[8531] * vX_[1337] +
+ vX_[2770] * vX_[208] + vX_[909] * vX_[207] + vX_[7862] * -0.463218197356862 +
+ vX_[7353] * -0.00370574557885489 + vX_[1943] * vX_[174] + vX_[3442] * vX_[179] + vX_[7336] * vX_[178] +
+ vX_[8094] * vX_[173] + vX_[7121] * vX_[219] + vX_[2766] * vX_[218] + vX_[8520] * vX_[215] +
+ vX_[9048] * vX_[217] +
+ (vX_[2402] * vX_[177] + vX_[1917] * vX_[171] + vX_[8519] * vX_[172] + (0 - vX_[8514]) * 0.417781802643138 +
+ (0 - (vX_[7336] * vX_[167] + vX_[8094] * vX_[169]) + vX_[8515] + vX_[8519] * vX_[170]) * 0.881 +
+ (0 - vX_[8530]) * -0.00370574557885489 + vX_[2402] * -0.000881 + vX_[8519] * -0.22025) *
+ -0.35 +
+ vX_[3247] * vX_[797] + vX_[2390] * vX_[2924] + vX_[2408] * vX_[775] + vX_[8537] * vX_[1018] +
+ (vX_[8526] * vX_[2920] + vX_[3247] * vX_[816]) * 0.35 + vX_[8568] * vX_[1316] + vX_[2800] * vX_[1087] +
+ vX_[8571] * vX_[1328] + vX_[8540] * vX_[1100] + vX_[8556] * vX_[1273] + vX_[8544] * vX_[1115] +
+ vX_[6614] * vX_[1081] + vX_[8547] * vX_[186] + vX_[8572] * vX_[1336] + vX_[8542] * vX_[1108] +
+ vX_[3151] * vX_[1278] + vX_[495] * vX_[1113] + vX_[2799] * vX_[1290] + vX_[8114] * vX_[166] +
+ vX_[8533] * vX_[1136] + vX_[4003] * vX_[1284] + vX_[466] * vX_[1123] + vX_[6909] * vX_[1186] +
+ vX_[6269] * vX_[1204] + vX_[8539] * vX_[1224] + vX_[7348] * vX_[1211] + vX_[6908] * vX_[1215] +
+ vX_[2806] * vX_[1175] + vX_[6886] * vX_[1161] + vX_[8764] * vX_[1169] + vX_[8511] * vX_[1197] +
+ vX_[2357] * vX_[1255] + vX_[2816] * vX_[1204] + vX_[8145] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[8524] * vX_[1111] + vX_[8521] * vX_[1337] + vX_[2770] * vX_[207] + vX_[7862] * -0.00370574557885489 +
+ vX_[7353] * -2.96459646308422e-05 + vX_[1943] * vX_[179] + vX_[7336] * vX_[173] + vX_[7121] * vX_[218] +
+ vX_[8520] * vX_[217] + vX_[9048] * vX_[216] + vX_[2390] * vX_[797] + vX_[8537] * vX_[775] -
+ (vX_[8525] * vX_[2920] + vX_[3247] * vX_[2924]) +
+ (vX_[8526] * vX_[1111] + vX_[8517] * vX_[176] + vX_[8529] * vX_[177] + vX_[8514] * -0.00370574557885489 +
+ vX_[8530] * 0.880970354035369 +
+ (0 - (vX_[7336] * vX_[169] + vX_[8094] * vX_[175] + vX_[8532] + vX_[2402] * vX_[170] +
+ vX_[8529] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[2402]) * -0.110125 + (0 - vX_[3644]) * -0.001762 + vX_[2390] * vX_[816]) *
+ 0.35 -
+ (vX_[8531] * vX_[1329] + vX_[909] * vX_[208] + vX_[3442] * vX_[174] + vX_[8094] * vX_[178] +
+ vX_[2766] * vX_[219] + vX_[2408] * vX_[1018]) +
+ vX_[8534] * vX_[1080] + vX_[8569] * vX_[1318] + vX_[8554] * vX_[1266] + vX_[8571] * vX_[1325] +
+ vX_[8540] * vX_[1097] + vX_[8556] * vX_[1271] + vX_[2365] * vX_[1113] + vX_[8560] * vX_[1288] +
+ vX_[8553] * vX_[166] + vX_[8572] * vX_[1333] + vX_[8542] * vX_[1105] + vX_[8557] * vX_[1277] +
+ vX_[8545] * vX_[1118] + vX_[8561] * vX_[1081] + vX_[8548] * vX_[1128] + vX_[8562] * vX_[1134] +
+ vX_[8558] * vX_[1282] + vX_[8573] * vX_[1122] + vX_[8582] * vX_[1184] + vX_[3365] * vX_[1202] +
+ vX_[8539] * vX_[1222] + vX_[7348] * vX_[1212] + vX_[6908] * vX_[1217] + vX_[2806] * vX_[1173] +
+ vX_[6886] * vX_[1163] + vX_[7331] * vX_[1167] + vX_[8512] * vX_[1196] + vX_[8546] * vX_[1200] +
+ vX_[8749] * vX_[1253] + vX_[1257] * vX_[1248] + vX_[8138] * vX_[1177]) *
+ vX_[1071];
+ vX_[525] = vX_[6467] + vX_[1193] * vX_[186] + vX_[525] * vX_[197] + vX_[8944] * vX_[1129];
+ vX_[245] = vX_[6467] + vX_[2529] * vX_[166] + vX_[245] * vX_[202] + vX_[8945] * vX_[1969];
+ vX_[6467] = vX_[525] - vX_[245];
+ vX_[233] = vX_[1193] * vX_[166] + vX_[2529] * vX_[186] + vX_[1033] * vX_[202] + vX_[233] * vX_[197] +
+ vX_[8944] * vX_[1969] + vX_[8945] * vX_[1129];
+ vX_[1033] = vX_[6467] * vX_[169] + vX_[233] * vX_[175];
+ vX_[2529] = vX_[6467] * vX_[167] + vX_[233] * vX_[169];
+ vX_[525] = 0 - vX_[525];
+ vX_[1193] = 0 - vX_[233];
+ vX_[3188] = (vX_[525] * vX_[190] + vX_[1193] * vX_[181] +
+ (0 - (vX_[244] * vX_[186] + vX_[946] * vX_[195] + vX_[2017] * vX_[197] + vX_[8944] * vX_[1861] +
+ vX_[8941] * vX_[1129])) *
+ 2.1e-05 +
+ (0 - (vX_[244] * vX_[166] + vX_[946] * vX_[186] + vX_[3188] * vX_[197] + vX_[8944] * vX_[1935] +
+ vX_[8951] * vX_[1129])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[525] = vX_[8947] * vX_[1321] + vX_[525] * vX_[191] + vX_[3188];
+ vX_[245] = 0 - vX_[245];
+ vX_[2927] = (vX_[245] * vX_[181] +
+ (0 - (vX_[5852] * vX_[186] + vX_[165] * vX_[195] + vX_[2019] * vX_[202] + vX_[8945] * vX_[1861] +
+ vX_[8941] * vX_[1969])) *
+ 2.1e-05 +
+ (0 - (vX_[5852] * vX_[166] + vX_[165] * vX_[186] + vX_[2927] * vX_[202] + vX_[8945] * vX_[1935] +
+ vX_[8951] * vX_[1969])) *
+ -0.000102) *
+ 1 / vX_[183];
+ vX_[245] = vX_[8948] * vX_[1321] + vX_[1193] * vX_[191] + vX_[245] * vX_[184] + vX_[2927];
+ vX_[534] = vX_[261] + vX_[4434] * vX_[197] + vX_[534] * vX_[202] * 2. + vX_[8940] * vX_[1935] - vX_[245];
+ vX_[8939] = 0 - (vX_[7549] + vX_[8939] * vX_[202] + vX_[6490] * vX_[197] * 2. + vX_[8940] * vX_[1861]) + vX_[525];
+ vX_[6490] = vX_[6490] + vX_[8941] * vX_[1861];
+ vX_[1114] = vX_[1114] + vX_[8951] * vX_[1935];
+ vX_[7549] = vX_[6490] - vX_[1114];
+ vX_[4434] = vX_[4434] + vX_[8941] * vX_[1935] + vX_[8951] * vX_[1861];
+ vX_[1935] = vX_[7549] * vX_[169] + vX_[4434] * vX_[175];
+ vX_[1861] = vX_[7549] * vX_[167] + vX_[4434] * vX_[169];
+ vX_[8940] = vX_[1935] * vX_[167] + vX_[1861] * vX_[169];
+ vX_[202] = vX_[1114] + vX_[1935] * vX_[169];
+ vX_[197] = vX_[1114] + vX_[1861] * vX_[167];
+ vX_[1114] = vX_[6490] + vX_[1114] + 0 - vX_[8947] * vX_[2020] - vX_[8948] * vX_[1293] - vX_[8949] * vX_[1262] +
+ vX_[8949] * vX_[1321] - vX_[8950] * vX_[1082] - vX_[8952] * vX_[1138] - vX_[3188] * vX_[191] -
+ vX_[2927] * vX_[184] -
+ ((0 - vX_[6490]) * 2.1e-05 + (0 - vX_[4434]) * -0.000102) * 1 / vX_[183] * vX_[225] -
+ (0 - vX_[1114]) * -0.000102 * 1 / vX_[183] * vX_[221] - vX_[202] - vX_[197];
+ vX_[6490] = 0 - vX_[1114];
+ vX_[2927] = vX_[525] * vX_[169] + vX_[245] * vX_[175];
+ vX_[3188] = vX_[2927] + vX_[6490] * vX_[170];
+ vX_[1138] = vX_[525] * vX_[167] + vX_[245] * vX_[169];
+ vX_[1082] = vX_[1138] + vX_[1114] * vX_[168];
+ vX_[2020] = 0 - vX_[197];
+ jac[539] =
+ 0 -
+ (vX_[8944] * vX_[2920] + vX_[8945] * vX_[1111] + vX_[8941] * vX_[1329] + vX_[8951] * vX_[1337] +
+ vX_[6467] * vX_[208] + vX_[233] * vX_[207] + vX_[1033] * -0.463218197356862 +
+ vX_[2529] * -0.00370574557885489 + vX_[525] * vX_[174] + vX_[245] * vX_[179] + vX_[534] * vX_[178] +
+ vX_[8939] * vX_[173] + vX_[7549] * vX_[219] + vX_[4434] * vX_[218] + vX_[1935] * vX_[215] +
+ vX_[1861] * vX_[217] +
+ (vX_[8940] * vX_[177] + vX_[6490] * vX_[171] + vX_[202] * vX_[172] + (0 - vX_[3188]) * 0.417781802643138 +
+ (0 - (vX_[534] * vX_[167] + vX_[8939] * vX_[169]) + vX_[2927] + vX_[202] * vX_[170]) * 0.881 +
+ (0 - vX_[1082]) * -0.00370574557885489 + vX_[8940] * -0.000881 + vX_[202] * -0.22025) *
+ -0.35 +
+ vX_[8306] * vX_[797] + vX_[8984] * vX_[2924] + vX_[6266] * vX_[775] + vX_[8957] * vX_[1018] +
+ (vX_[8946] * vX_[2920] + vX_[8306] * vX_[816]) * 0.35 + vX_[8988] * vX_[1316] + vX_[2026] * vX_[1087] +
+ vX_[8991] * vX_[1328] + vX_[8960] * vX_[1100] + vX_[8976] * vX_[1273] + vX_[8964] * vX_[1115] +
+ vX_[8763] * vX_[1081] + vX_[8973] * vX_[186] + vX_[8992] * vX_[1336] + vX_[8962] * vX_[1108] +
+ vX_[3234] * vX_[1278] + vX_[7315] * vX_[1113] + vX_[1210] * vX_[1290] + vX_[8377] * vX_[166] +
+ vX_[7313] * vX_[1136] + vX_[1932] * vX_[1284] + vX_[4089] * vX_[1123] + vX_[1159] * vX_[1186] +
+ vX_[5941] * vX_[1204] + vX_[8959] * vX_[1224] + vX_[2530] * vX_[1211] + vX_[3362] * vX_[1215] +
+ vX_[6650] * vX_[1175] + vX_[6229] * vX_[1161] + vX_[1968] * vX_[1169] + vX_[8966] * vX_[1197] +
+ vX_[220] * vX_[1255] + vX_[6462] * vX_[1204] + vX_[1772] * vX_[1179]) *
+ vX_[1073] +
+ (vX_[8944] * vX_[1111] + vX_[8941] * vX_[1337] + vX_[6467] * vX_[207] + vX_[1033] * -0.00370574557885489 +
+ vX_[2529] * -2.96459646308422e-05 + vX_[525] * vX_[179] + vX_[534] * vX_[173] + vX_[7549] * vX_[218] +
+ vX_[1935] * vX_[217] + vX_[1861] * vX_[216] + vX_[8984] * vX_[797] + vX_[8957] * vX_[775] -
+ (vX_[8945] * vX_[2920] + vX_[8306] * vX_[2924]) +
+ (vX_[8946] * vX_[1111] + vX_[1114] * vX_[176] + vX_[2020] * vX_[177] + vX_[3188] * -0.00370574557885489 +
+ vX_[1082] * 0.880970354035369 +
+ (0 - (vX_[534] * vX_[169] + vX_[8939] * vX_[175] + vX_[1138] + vX_[8940] * vX_[170] +
+ vX_[2020] * vX_[168])) *
+ 0.881 +
+ (0 - vX_[8940]) * -0.110125 + (0 - vX_[197]) * -0.001762 + vX_[8984] * vX_[816]) *
+ 0.35 -
+ (vX_[8951] * vX_[1329] + vX_[233] * vX_[208] + vX_[245] * vX_[174] + vX_[8939] * vX_[178] +
+ vX_[4434] * vX_[219] + vX_[6266] * vX_[1018]) +
+ vX_[8954] * vX_[1080] + vX_[8989] * vX_[1318] + vX_[8974] * vX_[1266] + vX_[8991] * vX_[1325] +
+ vX_[8960] * vX_[1097] + vX_[8976] * vX_[1271] + vX_[1306] * vX_[1113] + vX_[8980] * vX_[1288] +
+ vX_[2025] * vX_[166] + vX_[8992] * vX_[1333] + vX_[8962] * vX_[1105] + vX_[8977] * vX_[1277] +
+ vX_[8965] * vX_[1118] + vX_[8981] * vX_[1081] + vX_[1219] * vX_[1128] + vX_[8982] * vX_[1134] +
+ vX_[8978] * vX_[1282] + vX_[2018] * vX_[1122] + vX_[1153] * vX_[1184] + vX_[3201] * vX_[1202] +
+ vX_[8959] * vX_[1222] + vX_[2530] * vX_[1212] + vX_[3362] * vX_[1217] + vX_[6650] * vX_[1173] +
+ vX_[6229] * vX_[1163] + vX_[529] * vX_[1167] + vX_[8993] * vX_[1196] + vX_[2013] * vX_[1200] +
+ vX_[1180] * vX_[1253] + vX_[1246] * vX_[1248] + vX_[1252] * vX_[1177]) *
+ vX_[1071];
+ vX_[2020] = vX_[1753] - vX_[740];
+ vX_[44] = vX_[739] + vX_[44];
+ vX_[770] = vX_[574] + vX_[770];
+ vX_[574] = 0 - vX_[770];
+ vX_[739] = vX_[2020] * vX_[1];
+ vX_[1082] = vX_[2020] * vX_[126];
+ vX_[3953] = vX_[726] + vX_[3953];
+ vX_[3717] = vX_[3720] + vX_[3717];
+ vX_[4112] = vX_[724] + vX_[4112];
+ vX_[687] = vX_[638] + vX_[687];
+ vX_[638] = vX_[687] * vX_[126] + vX_[4112] * vX_[1];
+ vX_[724] = vX_[687] * vX_[139] + vX_[4112] * vX_[126];
+ vX_[3704] = vX_[1428] + vX_[3704];
+ vX_[741] = 0 - (vX_[665] + vX_[741]) + vX_[3704];
+ vX_[665] = vX_[3737] - vX_[3630];
+ vX_[4125] = vX_[663] + vX_[4125];
+ vX_[3707] = vX_[3699] + vX_[3707];
+ vX_[3699] = 0 - vX_[3707];
+ vX_[663] = vX_[665] * vX_[1];
+ vX_[1428] = vX_[665] * vX_[126];
+ vX_[3720] = vX_[772] * 0.881 + (0 - vX_[777]) * -0.0004405 + vX_[781] * 8.81e-05;
+ vX_[726] = vX_[765] * -0.881;
+ vX_[1138] = vX_[777] * 0.1104774;
+ vX_[3188] = vX_[790] * 8.81e-05;
+ vX_[2927] = vX_[726] - vX_[1138] + vX_[3188];
+ vX_[6490] = vX_[3720] * vX_[4053] + vX_[2927] * vX_[4070];
+ vX_[1114] = vX_[755] * 3.146 + (0 - vX_[763]) * 0.0825825;
+ vX_[197] = vX_[753] * -3.146;
+ vX_[202] = vX_[763] * 0.47422804;
+ vX_[8940] = vX_[197] - vX_[202];
+ vX_[1861] = vX_[6490] + vX_[1114] * vX_[4072] + vX_[8940] * vX_[4074];
+ vX_[1935] = vX_[629] * 3.44 + vX_[531] * 0.5824264;
+ vX_[4434] = 0 - vX_[1935];
+ vX_[7549] = vX_[735] * 3.44 + (0 - vX_[531]) * 0.1466472;
+ vX_[8939] =
+ vX_[735] * vX_[142] + vX_[700] * vX_[125] + vX_[629] * vX_[134] + vX_[531] * vX_[515] + vX_[557] * vX_[566];
+ vX_[534] = vX_[1861] + vX_[4434] * vX_[4085] + vX_[7549] * vX_[4092] + vX_[8939] * x_in[33];
+ vX_[245] = 0 - vX_[3720];
+ vX_[3188] = 0 - vX_[726] + vX_[1138] - vX_[3188];
+ vX_[1138] = vX_[748] * -0.0004405 + vX_[765] * 8.81e-05 + vX_[790] * -0.000227999999999999;
+ vX_[726] = vX_[748] * 0.1104774 + vX_[772] * 8.81e-05 + (0 - vX_[781]) * 0.025713;
+ vX_[525] = (0 - vX_[765]) * -0.0004405;
+ vX_[2529] = (0 - vX_[772]) * 0.1104774;
+ vX_[1033] = vX_[525] + vX_[2529];
+ vX_[1033] = vX_[245] * vX_[1994] + vX_[3188] * vX_[4061] + vX_[1138] * vX_[4053] + vX_[726] * vX_[4070] +
+ vX_[1033] * vX_[4071] + vX_[1033] * vX_[4071];
+ vX_[233] = vX_[748] * 0.881 + (0 - vX_[781]) * 0.1104774 + vX_[790] * -0.0004405;
+ vX_[6467] = vX_[765] * -0.00185880198235362 + vX_[772] * 0.880992588508842 + vX_[781] * 8.81e-05;
+ vX_[245] = vX_[245] * vX_[4071] + vX_[233] * vX_[4070] + vX_[6467] * x_in[35];
+ vX_[1071] = 0 - vX_[233];
+ vX_[1073] = vX_[765] * 0.414812462825713 + vX_[772] * -0.00185880198235362 + vX_[790] * -8.81e-05;
+ vX_[3188] = vX_[3188] * vX_[4071] + vX_[1071] * vX_[4053] - vX_[1073] * x_in[35];
+ vX_[1772] = 0 - vX_[1114];
+ vX_[202] = 0 - vX_[197] + vX_[202];
+ vX_[197] = vX_[746] * 0.0825825 + (0 - vX_[763]) * -0.000102 + vX_[747] * -0.007418 + vX_[761] * 0.002735;
+ vX_[4089] = vX_[746] * 0.47422804 + vX_[763] * 2.1e-05 + (0 - vX_[747]) * 0.084376 + (0 - vX_[761]) * -0.007418;
+ vX_[8377] = (0 - vX_[753]) * 0.0825825;
+ vX_[1252] = (0 - vX_[755]) * 0.47422804;
+ vX_[8966] = vX_[747] * -0.000102;
+ vX_[8993] = (0 - vX_[761]) * 2.1e-05;
+ vX_[2013] = vX_[8377] + vX_[1252] + vX_[8966] + vX_[8993];
+ vX_[2013] = vX_[1033] + vX_[245] * vX_[764] + vX_[3188] * vX_[54] + vX_[1772] * vX_[4066] + vX_[202] * vX_[4091] +
+ vX_[197] * vX_[4072] + vX_[4089] * vX_[4074] + vX_[2013] * vX_[4082] + vX_[2013] * vX_[4082];
+ vX_[2018] = vX_[746] * 3.146 + (0 - vX_[747]) * 0.47422804 + vX_[761] * 0.0825825;
+ vX_[1219] = vX_[753] * vX_[102] + vX_[755] * vX_[101] + vX_[747] * vX_[80] + vX_[761] * vX_[74];
+ vX_[1772] =
+ vX_[245] * vX_[7] + vX_[3188] * vX_[51] + vX_[1772] * vX_[4082] + vX_[2018] * vX_[4074] + vX_[1219] * x_in[34];
+ vX_[8973] = 0 - vX_[2018];
+ vX_[2025] = vX_[753] * vX_[100] + vX_[755] * vX_[102] + vX_[747] * vX_[86] + vX_[761] * vX_[85];
+ vX_[202] =
+ vX_[245] * vX_[756] + vX_[3188] * vX_[7] + vX_[202] * vX_[4082] + vX_[8973] * vX_[4072] - vX_[2025] * x_in[34];
+ vX_[8974] = 0 - vX_[7549];
+ vX_[6462] = vX_[700] * 0.5824264 + (0 - vX_[745]) * -0.022734 + vX_[531] * -3.6e-05 + vX_[557] * -0.133138;
+ vX_[5941] = vX_[700] * 0.1466472 + vX_[745] * 0.009466 + (0 - vX_[531]) * -5.1e-05 + vX_[557] * -0.022734;
+ vX_[1246] = (0 - vX_[735]) * 0.5824264;
+ vX_[6229] = (0 - vX_[629]) * 0.1466472;
+ vX_[6650] = (0 - vX_[745]) * -3.6e-05;
+ vX_[3362] = (0 - vX_[557]) * -5.1e-05;
+ vX_[3201] = vX_[1246] + vX_[6229] + vX_[6650] - vX_[3362];
+ vX_[1932] =
+ vX_[735] * vX_[158] + vX_[700] * vX_[514] + vX_[629] * vX_[566] + vX_[531] * vX_[565] + vX_[557] * vX_[122];
+ vX_[3201] = vX_[2013] + vX_[1772] * vX_[752] + vX_[202] * vX_[93] + vX_[1935] * vX_[4095] + vX_[8974] * vX_[3880] +
+ vX_[6462] * vX_[4085] + vX_[5941] * vX_[4092] + vX_[3201] * vX_[4104] + vX_[3201] * vX_[4104] +
+ vX_[1932] * x_in[33];
+ vX_[8978] = vX_[1399] - vX_[3630];
+ vX_[8981] = vX_[8978] * vX_[126] + vX_[4125] * vX_[1];
+ vX_[8763] = vX_[8978] * vX_[139] + vX_[4125] * vX_[126];
+ vX_[1210] = vX_[8763] + vX_[663];
+ vX_[8992] = vX_[8981] * vX_[139] + vX_[1210] * vX_[126] + vX_[1428] * vX_[1];
+ vX_[8980] = 0 - vX_[8992];
+ vX_[8991] = vX_[3630] + vX_[8981] * vX_[126] + vX_[663] * vX_[1];
+ vX_[2026] = 0 - vX_[8991];
+ vX_[8954] = vX_[3630] + vX_[8763] * vX_[139] + vX_[1428] * vX_[126];
+ vX_[742] = vX_[576] + vX_[742] - vX_[3717];
+ vX_[576] = vX_[3704] * vX_[126] + vX_[3717] * vX_[1];
+ vX_[220] = 0 - (vX_[742] * vX_[139] + vX_[741] * vX_[126]) + vX_[576];
+ vX_[1180] = vX_[220] + vX_[8991] * vX_[127];
+ vX_[1968] = 0 - vX_[1180];
+ vX_[529] = vX_[3704] * vX_[139] + vX_[3717] * vX_[126];
+ vX_[2530] = vX_[742] * vX_[126] + vX_[741] * vX_[1] + vX_[529];
+ vX_[8959] = 0 - vX_[8954];
+ vX_[1159] = vX_[2530] + vX_[8992] * vX_[127] + vX_[8959] * vX_[27];
+ vX_[720] = vX_[670] + vX_[720];
+ vX_[670] = vX_[3953] * vX_[126] + vX_[720] * vX_[139];
+ vX_[1153] = vX_[670] * vX_[126] + vX_[724] * vX_[1];
+ vX_[1586] = vX_[676] + vX_[1586];
+ vX_[3707] = 0 - vX_[3707];
+ vX_[676] = vX_[1586] * vX_[139] + vX_[3707] * vX_[126];
+ vX_[7313] = 0 - vX_[676];
+ vX_[8982] = vX_[1153] + vX_[7313] * vX_[27] + vX_[2026] * vX_[141];
+ vX_[7315] = 0 - vX_[8982];
+ vX_[8965] = vX_[3953] * vX_[1] + vX_[720] * vX_[126];
+ vX_[1306] = vX_[8965] * vX_[139] + vX_[638] * vX_[126];
+ vX_[3234] = vX_[1586] * vX_[126] + vX_[3699] * vX_[1];
+ vX_[8977] = 0 - vX_[3234];
+ vX_[8962] = vX_[1306] + vX_[8977] * vX_[127] + vX_[8954] * vX_[141];
+ vX_[8964] = vX_[8965] * vX_[126] + vX_[638] * vX_[1];
+ vX_[8976] = vX_[8964] + vX_[676] * vX_[127];
+ vX_[8960] = vX_[670] * vX_[139] + vX_[724] * vX_[126];
+ vX_[8989] = vX_[8960] + vX_[3234] * vX_[27] + vX_[8980] * vX_[141];
+ vX_[8988] = 0 - vX_[8976] + vX_[8989];
+ vX_[8957] = 0 - vX_[8992];
+ vX_[6266] = 0 - vX_[8991];
+ vX_[2026] = vX_[8980] * vX_[569] + vX_[2026] * vX_[517] + vX_[8954] * vX_[105] + vX_[1968] * vX_[142] +
+ vX_[1159] * vX_[153] + vX_[7315] * vX_[134] + vX_[8962] * vX_[128] + vX_[8988] * vX_[125] +
+ vX_[8957] * vX_[566] + vX_[8992] * vX_[563] + vX_[6266] * vX_[516] + vX_[8954] * vX_[520];
+ vX_[8980] = vX_[700] * -3.44;
+ vX_[8984] = vX_[745] * 0.1466472;
+ vX_[8306] = vX_[557] * 0.5824264;
+ vX_[1337] = 0 - vX_[8980] + vX_[8984] - vX_[8306];
+ vX_[1329] =
+ vX_[735] * vX_[153] + vX_[700] * vX_[128] + vX_[629] * vX_[125] + vX_[531] * vX_[563] + vX_[557] * vX_[514];
+ vX_[8974] = vX_[1772] * vX_[751] + vX_[202] * vX_[75] + vX_[1337] * vX_[4085] + vX_[8974] * vX_[4104] -
+ vX_[1329] * x_in[33];
+ vX_[3630] = vX_[1399] + vX_[3737] + vX_[3630] - vX_[8991] - vX_[8954];
+ vX_[3737] = 0 - vX_[3630];
+ vX_[576] = vX_[576] + vX_[3737] * vX_[127];
+ vX_[529] = vX_[529] + vX_[3630] * vX_[27];
+ vX_[1399] = 0 - vX_[1159];
+ vX_[1111] = 0 - vX_[8962];
+ vX_[3712] = vX_[3716] + vX_[3712] + vX_[720] + vX_[4112] - vX_[8964] - vX_[8960];
+ vX_[8989] = vX_[3712] - vX_[8989];
+ vX_[3716] = 0 - vX_[676];
+ vX_[2920] = 0 - vX_[8992];
+ vX_[2924] = 0 - vX_[8954];
+ vX_[1018] = vX_[1768] - vX_[740];
+ vX_[4068] = vX_[732] + vX_[4068];
+ vX_[732] = vX_[1018] * vX_[126] + vX_[44] * vX_[1];
+ vX_[797] = vX_[1018] * vX_[139] + vX_[44] * vX_[126];
+ vX_[777] = vX_[765] * 0.1104774 + vX_[772] * -0.0004405 + vX_[777] * 0.025941;
+ vX_[816] = (0 - vX_[748]) * 8.81e-05;
+ vX_[2529] = vX_[816] + vX_[2529];
+ vX_[790] = vX_[748] * -0.0004405 + vX_[765] * -8.81e-05 + vX_[790] * 0.000468;
+ vX_[2529] = vX_[3720] * vX_[4062] + vX_[1071] * vX_[4061] + vX_[1138] * vX_[4071] + vX_[777] * vX_[4070] +
+ vX_[2529] * vX_[4053] + vX_[2529] * vX_[4053] + vX_[790] * x_in[35];
+ vX_[816] = vX_[816] + vX_[525];
+ vX_[781] = vX_[748] * -0.1104774 + vX_[772] * 8.81e-05 + vX_[781] * 0.026409;
+ vX_[816] = vX_[2927] * vX_[4062] + vX_[233] * vX_[1994] + vX_[726] * vX_[4071] + vX_[777] * vX_[4053] +
+ vX_[816] * vX_[4070] + vX_[816] * vX_[4070] - vX_[781] * x_in[35];
+ vX_[777] = vX_[753] * 0.47422804 + vX_[755] * 0.0825825 + vX_[763] * 0.081641 + (0 - vX_[747]) * 2.1e-05 +
+ vX_[761] * -0.000102;
+ vX_[233] = (0 - vX_[763]) * -0.007418;
+ vX_[8993] = vX_[1252] + vX_[233] - vX_[8993];
+ vX_[1252] =
+ vX_[746] * vX_[69] + vX_[753] * vX_[85] + vX_[755] * vX_[74] + vX_[747] * vX_[117] + vX_[761] * vX_[113];
+ vX_[8993] = vX_[6490] * -0.35 + vX_[2529] * vX_[7] + vX_[816] * vX_[51] + vX_[1114] * vX_[4064] +
+ vX_[8973] * vX_[4091] + vX_[197] * vX_[4082] + vX_[777] * vX_[4074] + vX_[8993] * vX_[4072] +
+ vX_[8993] * vX_[4072] + vX_[1252] * x_in[34];
+ vX_[233] = vX_[8377] - vX_[233] - vX_[8966];
+ vX_[8966] =
+ vX_[746] * vX_[82] + vX_[753] * vX_[86] + vX_[755] * vX_[80] + vX_[747] * vX_[111] + vX_[761] * vX_[117];
+ vX_[233] = vX_[2529] * vX_[52] + vX_[816] * vX_[7] + vX_[8940] * vX_[4064] + vX_[2018] * vX_[4066] +
+ vX_[4089] * vX_[4082] + vX_[777] * vX_[4072] + vX_[233] * vX_[4074] + vX_[233] * vX_[4074] -
+ vX_[8966] * x_in[34];
+ vX_[8306] = vX_[8980] - vX_[8984] + vX_[8306];
+ vX_[8984] = vX_[735] * 0.1466472 + vX_[629] * 0.5824264 + vX_[745] * -5.1e-05 + (0 - vX_[531]) * -0.123672 +
+ (0 - vX_[557]) * -3.6e-05;
+ vX_[8980] = vX_[531] * -0.022734;
+ vX_[6650] = vX_[1246] - vX_[6650] - vX_[8980];
+ vX_[1246] =
+ vX_[735] * vX_[96] + vX_[700] * vX_[563] + vX_[629] * vX_[515] + vX_[531] * vX_[513] + vX_[557] * vX_[565];
+ vX_[6650] = vX_[8993] * vX_[4] + vX_[233] * vX_[75] + vX_[8306] * vX_[4095] + vX_[7549] * vX_[4096] +
+ vX_[8984] * vX_[4085] + vX_[5941] * vX_[4104] + vX_[6650] * vX_[4092] + vX_[6650] * vX_[4092] -
+ vX_[1246] * x_in[33];
+ vX_[1005] = vX_[1005] * vX_[1986];
+ vX_[1007] = vX_[1007] * vX_[1986];
+ vX_[5941] = vX_[1005] * vX_[7] + vX_[1007] * vX_[51];
+ vX_[1008] = vX_[1008] * vX_[1986];
+ vX_[782] = vX_[782] * vX_[1975];
+ vX_[7549] = vX_[782] * vX_[7];
+ vX_[777] = vX_[782] * vX_[51];
+ vX_[958] = vX_[958] * vX_[1993];
+ vX_[2018] = vX_[958] * vX_[51];
+ vX_[791] = vX_[791] * vX_[1975];
+ vX_[4089] = vX_[791] * vX_[7];
+ vX_[8940] = 0 - vX_[4089];
+ vX_[8377] = vX_[791] * vX_[51];
+ vX_[8973] = 0 - vX_[777];
+ vX_[197] = 0 - vX_[958];
+ vX_[1114] = vX_[197] * vX_[7];
+ vX_[964] = vX_[964] * vX_[1993];
+ vX_[6490] = 0 - vX_[964];
+ vX_[726] = vX_[6490] * vX_[51];
+ vX_[2927] = vX_[964] * vX_[7];
+ vX_[799] = vX_[799] * vX_[1983];
+ vX_[772] = vX_[1005] + vX_[799];
+ vX_[804] = vX_[804] * vX_[1983];
+ vX_[748] = 0 - vX_[1007] - vX_[804];
+ vX_[525] = vX_[772] * vX_[51] + vX_[748] * vX_[7];
+ vX_[1071] = vX_[799] * vX_[7] + vX_[804] * vX_[51];
+ vX_[982] = vX_[982] * vX_[1993] + vX_[818] * vX_[1975];
+ vX_[818] = 0 - vX_[982];
+ vX_[1138] = 0 - vX_[982];
+ vX_[3720] = vX_[1138] * vX_[7];
+ vX_[765] = vX_[982] * vX_[51];
+ vX_[775] = vX_[983] * vX_[893] + vX_[1990] * vX_[845] + vX_[1996] * vX_[877];
+ vX_[8946] = 0 - vX_[775];
+ vX_[8951] = vX_[983] * vX_[985] + vX_[1990] * vX_[878] + vX_[1996] * vX_[839];
+ vX_[8945] = vX_[8946] * x_in[18] + vX_[8951] * x_in[19];
+ vX_[8944] = 0 - vX_[8945];
+ vX_[8941] = 0 - vX_[8945];
+ vX_[1336] = vX_[8941] * vX_[7];
+ vX_[1333] = vX_[8945] * vX_[51];
+ vX_[983] = vX_[983] * vX_[875] + vX_[1990] * vX_[894] + vX_[1996] * vX_[986];
+ jac[1242] = vX_[2025] * vX_[3967] + vX_[1219] * vX_[4066] + vX_[8966] * vX_[3980] + vX_[1252] * vX_[4072] +
+ vX_[2013] + vX_[983] * vX_[899] + vX_[775] * vX_[851] + vX_[8951] * vX_[884];
+ jac[1278] = vX_[1073] * vX_[1988] + vX_[6467] * vX_[1994] + vX_[781] * vX_[988] + vX_[790] * vX_[4053] + vX_[1033] +
+ vX_[983] * vX_[908] + vX_[775] * vX_[862] + vX_[8951] * vX_[881];
+ vX_[781] = vX_[983] * x_in[35];
+ vX_[790] = vX_[781] * vX_[7];
+ vX_[1073] = vX_[781] * vX_[51];
+ vX_[6467] = vX_[983] * x_in[34];
+ vX_[1033] = vX_[6467] * vX_[51];
+ vX_[8966] = vX_[775] * x_in[33];
+ vX_[1252] = vX_[6467] * vX_[7];
+ vX_[2025] = vX_[8966] * vX_[7];
+ vX_[1219] = vX_[8966] * vX_[51];
+ vX_[2013] = vX_[1028] * vX_[940];
+ vX_[1996] = 0 - vX_[2013];
+ vX_[1990] = 0 - vX_[2013];
+ vX_[1328] = vX_[1990] * vX_[7];
+ vX_[1325] = vX_[2013] * vX_[51];
+ vX_[1318] = sin(x_in[15]);
+ vX_[770] = 0 - vX_[770];
+ vX_[1316] = vX_[797] + vX_[739];
+ vX_[1290] = 0 - vX_[576];
+ vX_[1288] = 0 - vX_[529];
+ vX_[3712] = 0 - vX_[3712] + vX_[8976];
+ vX_[8976] = 0 - vX_[3234];
+ vX_[766] = vX_[766] * vX_[1975];
+ vX_[1284] = vX_[766] * vX_[51];
+ vX_[773] = vX_[773] * vX_[1975];
+ vX_[1282] = vX_[773] * vX_[7];
+ vX_[778] = vX_[778] * vX_[1975];
+ vX_[956] = vX_[956] * vX_[1993];
+ vX_[1011] = vX_[1011] * vX_[1986];
+ vX_[1278] = vX_[1011] * vX_[7];
+ vX_[1277] = vX_[1011] * vX_[51];
+ vX_[977] = vX_[977] * vX_[810];
+ vX_[1273] = vX_[977] * vX_[51];
+ vX_[1019] = vX_[1019] * vX_[1986];
+ vX_[1271] = vX_[1019] * vX_[7];
+ vX_[1266] = 0 - vX_[1271];
+ vX_[1255] = vX_[1019] * vX_[51];
+ vX_[1253] = 0 - vX_[766] - vX_[977];
+ vX_[980] = vX_[980] * vX_[810];
+ vX_[1248] = 0 - vX_[773] - vX_[980];
+ vX_[1224] = vX_[1253] * vX_[7] + vX_[1248] * vX_[51];
+ vX_[1222] = vX_[980] * vX_[7];
+ vX_[969] = vX_[969] * vX_[1993] + vX_[817] * vX_[1986];
+ vX_[817] = vX_[969] * vX_[7];
+ vX_[1217] = vX_[969] * vX_[51];
+ vX_[1215] = 0 - vX_[8951];
+ vX_[1212] = vX_[983] * x_in[18] + vX_[1215] * x_in[20];
+ vX_[1211] = vX_[1212] * vX_[7];
+ vX_[1204] = vX_[1212] * vX_[51];
+ vX_[1202] = vX_[983] * x_in[33];
+ vX_[1200] = vX_[775] * x_in[35];
+ vX_[1197] = 0 - vX_[1200];
+ vX_[1196] = vX_[1197] * vX_[7];
+ vX_[1186] = vX_[1200] * vX_[51];
+ vX_[1184] = vX_[775] * x_in[34];
+ vX_[1179] = 0 - vX_[1184];
+ vX_[1177] = vX_[1202] * vX_[7];
+ vX_[1175] = 0 - vX_[1184];
+ vX_[1173] = vX_[1175] * vX_[7];
+ vX_[1169] = vX_[1202] * vX_[51];
+ vX_[1167] = vX_[1184] * vX_[51];
+ vX_[1163] = vX_[1028] * vX_[929];
+ vX_[1161] = vX_[1163] * vX_[7];
+ vX_[1136] = vX_[1163] * vX_[51];
+ vX_[1134] = cos(x_in[15]);
+ jac[558] =
+ 0 -
+ (vX_[738] * vX_[776] + vX_[673] * vX_[957] + vX_[2020] * vX_[699] + vX_[44] * vX_[701] + vX_[574] * vX_[142] +
+ vX_[739] * vX_[389] + vX_[1082] * vX_[125] + vX_[3953] * vX_[674] + vX_[3717] * vX_[150] +
+ vX_[4112] * vX_[643] + vX_[638] * vX_[642] + vX_[724] * vX_[639] + vX_[741] * vX_[159] +
+ vX_[665] * vX_[573] + vX_[4125] * vX_[575] + vX_[3699] * vX_[623] + vX_[663] * vX_[519] +
+ vX_[1428] * vX_[570] + vX_[534] * x_in[22] + vX_[3201] * x_in[19] +
+ (vX_[669] * vX_[776] + vX_[2026] * vX_[139] + vX_[534] * x_in[20]) * -0.3735 -
+ (vX_[714] * vX_[4079] + vX_[8974] * x_in[23]) + (vX_[673] * vX_[4079] + vX_[8974] * x_in[19]) * -0.3735 +
+ (vX_[162] * vX_[4079] + vX_[7313] * vX_[517] + vX_[3234] * vX_[569] + vX_[3630] * vX_[152] +
+ vX_[8959] * vX_[154] + vX_[576] * vX_[125] + vX_[529] * vX_[134] + vX_[1399] * vX_[137] +
+ vX_[1111] * vX_[153] + vX_[8989] * vX_[142] + vX_[3716] * vX_[515] + vX_[3234] * vX_[566] +
+ vX_[2920] * vX_[96] + vX_[2924] * vX_[522] + vX_[8974] * x_in[18]) *
+ 0.207 -
+ (vX_[669] * vX_[951] + vX_[1018] * vX_[698] + vX_[4068] * vX_[684] + vX_[732] * vX_[125] +
+ vX_[797] * vX_[271] + vX_[687] * vX_[640] + vX_[3704] * vX_[160] + vX_[720] * vX_[675] +
+ vX_[8965] * vX_[641] + vX_[670] * vX_[568] + vX_[742] * vX_[149] + vX_[8978] * vX_[572] +
+ vX_[1586] * vX_[622] + vX_[8981] * vX_[570] + vX_[8763] * vX_[523] + vX_[2026] * vX_[140] +
+ vX_[6650] * x_in[20]) +
+ vX_[749] * vX_[1975] + vX_[976] * vX_[810] + vX_[5941] * vX_[9] + (0 - vX_[1008]) * 0.3735 +
+ vX_[1008] * vX_[9] * -0.35 + vX_[7549] * 0.35 + vX_[7549] * vX_[75] * 0.08 + vX_[7549] * vX_[9] * 0.3735 +
+ vX_[777] * vX_[75] * 0.3735 + vX_[2018] * vX_[75] * -0.207 + vX_[8940] * vX_[75] * 0.3735 +
+ vX_[8377] * 0.35 + (vX_[8973] * vX_[9] + vX_[8377] * vX_[75]) * 0.08 + vX_[8377] * vX_[9] * 0.3735 +
+ (vX_[1114] * vX_[9] + vX_[726] * vX_[9]) * 0.207 + vX_[2927] * vX_[75] * 0.207 + vX_[525] * vX_[75] +
+ vX_[1071] * vX_[9] + (vX_[4089] * vX_[9] - vX_[982]) * 0.08 + vX_[818] * vX_[75] * 0.35 +
+ vX_[3720] * vX_[75] * 0.33 + vX_[765] * vX_[9] * 0.33 + (0 - vX_[8945]) * 0.08 +
+ vX_[8944] * vX_[75] * 0.35 + vX_[1336] * vX_[75] * 0.33 + vX_[1333] * vX_[9] * 0.33 +
+ vX_[790] * vX_[9] * 0.33 + vX_[1073] * vX_[75] * 0.33 + vX_[6467] * vX_[9] * 0.35 +
+ vX_[1033] * vX_[75] * 0.33 + vX_[8966] * 0.08 + vX_[8966] * vX_[75] * 0.35 +
+ (vX_[1252] * vX_[9] + vX_[2025] * vX_[75]) * 0.33 + vX_[1219] * vX_[9] * -0.33 + (0 - vX_[2013]) * 0.08 +
+ vX_[1996] * vX_[75] * 0.35 + vX_[1328] * vX_[75] * 0.33 + vX_[1325] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[714] * vX_[776] + vX_[738] * vX_[4079] + vX_[669] * vX_[957] + vX_[673] * vX_[951] + vX_[1018] * vX_[701] +
+ vX_[2020] * vX_[697] + vX_[44] * vX_[698] + vX_[4068] * vX_[142] + vX_[770] * vX_[684] +
+ vX_[732] * vX_[389] + vX_[1316] * vX_[125] + vX_[1082] * vX_[271] + vX_[3953] * vX_[675] +
+ vX_[687] * vX_[643] + vX_[3704] * vX_[150] + vX_[3717] * vX_[160] + vX_[720] * vX_[674] +
+ vX_[4112] * vX_[640] + vX_[8965] * vX_[642] + vX_[670] * vX_[639] + vX_[638] * vX_[641] +
+ vX_[724] * vX_[568] + vX_[742] * vX_[159] + vX_[741] * vX_[149] + vX_[8978] * vX_[575] +
+ vX_[665] * vX_[571] + vX_[4125] * vX_[572] + vX_[1586] * vX_[623] + vX_[3707] * vX_[622] +
+ vX_[8981] * vX_[519] + vX_[1210] * vX_[570] + vX_[1428] * vX_[523] + vX_[2026] * vX_[138] +
+ (vX_[676] * vX_[567] + vX_[8977] * vX_[105] + vX_[8992] * vX_[154] + vX_[3737] * vX_[129] +
+ vX_[8991] * vX_[143] + vX_[1290] * vX_[128] + vX_[1180] * vX_[137] + vX_[1288] * vX_[125] +
+ vX_[8982] * vX_[142] + vX_[3712] * vX_[153] + vX_[676] * vX_[563] + vX_[8976] * vX_[514] +
+ vX_[8992] * vX_[158] + vX_[8991] * vX_[511]) *
+ 0.207 +
+ vX_[534] * x_in[23] + vX_[8974] * x_in[22] + vX_[3201] * x_in[20] + vX_[6650] * x_in[19] +
+ (vX_[673] * vX_[776] + vX_[2026] * vX_[126] + vX_[534] * x_in[19]) * 0.3735 +
+ (vX_[162] * vX_[776] + vX_[534] * x_in[18]) * -0.207 +
+ (vX_[669] * vX_[4079] + vX_[8974] * x_in[20]) * -0.3735 + vX_[1004] * vX_[1986] + vX_[798] * vX_[1983] -
+ vX_[1284] * vX_[75] + vX_[1282] * vX_[75] + vX_[778] * 0.3735 + vX_[778] * vX_[9] * 0.35 +
+ (0 - vX_[956]) * 0.207 + vX_[1278] * 0.35 + vX_[1278] * vX_[75] * 0.08 + vX_[1278] * vX_[9] * 0.3735 +
+ vX_[1277] * vX_[75] * 0.3735 + (0 - vX_[1277] * vX_[9]) * 0.08 - vX_[1273] * vX_[75] +
+ vX_[1266] * vX_[75] * 0.3735 + vX_[1271] * vX_[9] * 0.08 + vX_[1255] * 0.35 + vX_[1255] * vX_[75] * 0.08 +
+ vX_[1255] * vX_[9] * 0.3735 + vX_[1224] * vX_[9] + vX_[1222] * vX_[75] + vX_[969] * 0.08 +
+ vX_[969] * vX_[75] * 0.35 + vX_[817] * vX_[75] * 0.33 + vX_[1217] * vX_[9] * -0.33 + vX_[1212] * 0.08 +
+ vX_[1212] * vX_[75] * 0.35 + vX_[1211] * vX_[75] * 0.33 + vX_[1204] * vX_[9] * -0.33 + vX_[1202] * 0.08 +
+ vX_[1202] * vX_[75] * 0.35 + vX_[1196] * vX_[9] * 0.33 + vX_[1186] * vX_[75] * -0.33 +
+ vX_[1179] * vX_[9] * 0.35 + (vX_[1177] * vX_[75] + vX_[1173] * vX_[9]) * 0.33 +
+ (vX_[1169] * vX_[9] + vX_[1167] * vX_[75]) * -0.33 + vX_[1163] * 0.08 + vX_[1163] * vX_[75] * 0.35 +
+ vX_[1161] * vX_[75] * 0.33 + vX_[1136] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[1018] = vX_[708] - vX_[2121];
+ vX_[3687] = vX_[2115] + vX_[3687];
+ vX_[1542] = vX_[2111] + vX_[1542];
+ vX_[2111] = 0 - vX_[1542];
+ vX_[2115] = vX_[1018] * vX_[1];
+ vX_[3737] = vX_[1018] * vX_[126];
+ vX_[3691] = vX_[2112] + vX_[3691];
+ vX_[1503] = vX_[1883] + vX_[1503];
+ vX_[3695] = vX_[1886] + vX_[3695];
+ vX_[2122] = vX_[1685] + vX_[2122];
+ vX_[1685] = vX_[2122] * vX_[126] + vX_[3695] * vX_[1];
+ vX_[1886] = vX_[2122] * vX_[139] + vX_[3695] * vX_[126];
+ vX_[9099] = vX_[3036] + vX_[9099];
+ vX_[2120] = 0 - (vX_[2109] + vX_[2120]) + vX_[9099];
+ vX_[2109] = vX_[1544] - vX_[2923];
+ vX_[3678] = vX_[2118] + vX_[3678];
+ vX_[1569] = vX_[1243] + vX_[1569];
+ vX_[1243] = 0 - vX_[1569];
+ vX_[2118] = vX_[2109] * vX_[1];
+ vX_[3036] = vX_[2109] * vX_[126];
+ vX_[1883] = vX_[2162] * 0.881 + (0 - vX_[2164]) * -0.0004405 + vX_[2166] * 8.81e-05;
+ vX_[2112] = vX_[2160] * -0.881;
+ vX_[3630] = vX_[2164] * 0.1104774;
+ vX_[2026] = vX_[2168] * 8.81e-05;
+ vX_[8977] = vX_[2112] - vX_[3630] + vX_[2026];
+ vX_[8965] = vX_[1883] * vX_[4053] + vX_[8977] * vX_[4070];
+ vX_[7313] = vX_[2152] * 3.146 + (0 - vX_[2159]) * 0.0825825;
+ vX_[3707] = vX_[2151] * -3.146;
+ vX_[1586] = vX_[2159] * 0.47422804;
+ vX_[670] = vX_[3707] - vX_[1586];
+ vX_[720] = vX_[8965] + vX_[7313] * vX_[4072] + vX_[670] * vX_[4074];
+ vX_[8959] = vX_[2139] * 3.44 + vX_[2142] * 0.5824264;
+ vX_[742] = 0 - vX_[8959];
+ vX_[1210] = vX_[2136] * 3.44 + (0 - vX_[2142]) * 0.1466472;
+ vX_[8763] = vX_[2136] * vX_[142] + vX_[2135] * vX_[125] + vX_[2139] * vX_[134] + vX_[2142] * vX_[515] +
+ vX_[2144] * vX_[566];
+ vX_[8981] = vX_[720] + vX_[742] * vX_[4085] + vX_[1210] * vX_[4092] + vX_[8763] * x_in[33];
+ vX_[8978] = 0 - vX_[1883];
+ vX_[2026] = 0 - vX_[2112] + vX_[3630] - vX_[2026];
+ vX_[3630] = vX_[2149] * -0.0004405 + vX_[2160] * 8.81e-05 + vX_[2168] * -0.000227999999999999;
+ vX_[2112] = vX_[2149] * 0.1104774 + vX_[2162] * 8.81e-05 + (0 - vX_[2166]) * 0.025713;
+ vX_[1428] = (0 - vX_[2160]) * -0.0004405;
+ vX_[663] = (0 - vX_[2162]) * 0.1104774;
+ vX_[3699] = vX_[1428] + vX_[663];
+ vX_[3699] = vX_[8978] * vX_[1994] + vX_[2026] * vX_[4061] + vX_[3630] * vX_[4053] + vX_[2112] * vX_[4070] +
+ vX_[3699] * vX_[4071] + vX_[3699] * vX_[4071];
+ vX_[4125] = vX_[2149] * 0.881 + (0 - vX_[2166]) * 0.1104774 + vX_[2168] * -0.0004405;
+ vX_[665] = vX_[2160] * -0.00185880198235362 + vX_[2162] * 0.880992588508842 + vX_[2166] * 8.81e-05;
+ vX_[8978] = vX_[8978] * vX_[4071] + vX_[4125] * vX_[4070] + vX_[665] * x_in[35];
+ vX_[741] = 0 - vX_[4125];
+ vX_[3704] = vX_[2160] * 0.414812462825713 + vX_[2162] * -0.00185880198235362 + vX_[2168] * -8.81e-05;
+ vX_[2026] = vX_[2026] * vX_[4071] + vX_[741] * vX_[4053] - vX_[3704] * x_in[35];
+ vX_[724] = 0 - vX_[7313];
+ vX_[1586] = 0 - vX_[3707] + vX_[1586];
+ vX_[3707] = vX_[2147] * 0.0825825 + (0 - vX_[2159]) * -0.000102 + vX_[2148] * -0.007418 + vX_[2157] * 0.002735;
+ vX_[638] = vX_[2147] * 0.47422804 + vX_[2159] * 2.1e-05 + (0 - vX_[2148]) * 0.084376 + (0 - vX_[2157]) * -0.007418;
+ vX_[687] = (0 - vX_[2151]) * 0.0825825;
+ vX_[4112] = (0 - vX_[2152]) * 0.47422804;
+ vX_[3717] = vX_[2148] * -0.000102;
+ vX_[3953] = (0 - vX_[2157]) * 2.1e-05;
+ vX_[44] = vX_[687] + vX_[4112] + vX_[3717] + vX_[3953];
+ vX_[44] = vX_[3699] + vX_[8978] * vX_[764] + vX_[2026] * vX_[54] + vX_[724] * vX_[4066] + vX_[1586] * vX_[4091] +
+ vX_[3707] * vX_[4072] + vX_[638] * vX_[4074] + vX_[44] * vX_[4082] + vX_[44] * vX_[4082];
+ vX_[2020] = vX_[2147] * 3.146 + (0 - vX_[2148]) * 0.47422804 + vX_[2157] * 0.0825825;
+ vX_[1004] = vX_[2151] * vX_[102] + vX_[2152] * vX_[101] + vX_[2148] * vX_[80] + vX_[2157] * vX_[74];
+ vX_[724] =
+ vX_[8978] * vX_[7] + vX_[2026] * vX_[51] + vX_[724] * vX_[4082] + vX_[2020] * vX_[4074] + vX_[1004] * x_in[34];
+ vX_[976] = 0 - vX_[2020];
+ vX_[798] = vX_[2151] * vX_[100] + vX_[2152] * vX_[102] + vX_[2148] * vX_[86] + vX_[2157] * vX_[85];
+ vX_[1586] =
+ vX_[8978] * vX_[756] + vX_[2026] * vX_[7] + vX_[1586] * vX_[4082] + vX_[976] * vX_[4072] - vX_[798] * x_in[34];
+ vX_[749] = 0 - vX_[1210];
+ vX_[1128] = vX_[2135] * 0.5824264 + (0 - vX_[2146]) * -0.022734 + vX_[2142] * -3.6e-05 + vX_[2144] * -0.133138;
+ vX_[1123] = vX_[2135] * 0.1466472 + vX_[2146] * 0.009466 + (0 - vX_[2142]) * -5.1e-05 + vX_[2144] * -0.022734;
+ vX_[1122] = (0 - vX_[2136]) * 0.5824264;
+ vX_[1118] = (0 - vX_[2139]) * 0.1466472;
+ vX_[1115] = (0 - vX_[2146]) * -3.6e-05;
+ vX_[1113] = (0 - vX_[2144]) * -5.1e-05;
+ vX_[1108] = vX_[1122] + vX_[1118] + vX_[1115] - vX_[1113];
+ vX_[1105] = vX_[2136] * vX_[158] + vX_[2135] * vX_[514] + vX_[2139] * vX_[566] + vX_[2142] * vX_[565] +
+ vX_[2144] * vX_[122];
+ vX_[1108] = vX_[44] + vX_[724] * vX_[752] + vX_[1586] * vX_[93] + vX_[8959] * vX_[4095] + vX_[749] * vX_[3880] +
+ vX_[1128] * vX_[4085] + vX_[1123] * vX_[4092] + vX_[1108] * vX_[4104] + vX_[1108] * vX_[4104] +
+ vX_[1105] * x_in[33];
+ vX_[1100] = vX_[3733] - vX_[2923];
+ vX_[1097] = vX_[1100] * vX_[126] + vX_[3678] * vX_[1];
+ vX_[1087] = vX_[1100] * vX_[139] + vX_[3678] * vX_[126];
+ vX_[1081] = vX_[1087] + vX_[2118];
+ vX_[1080] = vX_[1097] * vX_[139] + vX_[1081] * vX_[126] + vX_[3036] * vX_[1];
+ vX_[219] = 0 - vX_[1080];
+ vX_[218] = vX_[2923] + vX_[1097] * vX_[126] + vX_[2118] * vX_[1];
+ vX_[217] = 0 - vX_[218];
+ vX_[216] = vX_[2923] + vX_[1087] * vX_[139] + vX_[3036] * vX_[126];
+ vX_[2119] = vX_[1234] + vX_[2119] - vX_[1503];
+ vX_[1234] = vX_[9099] * vX_[126] + vX_[1503] * vX_[1];
+ vX_[215] = 0 - (vX_[2119] * vX_[139] + vX_[2120] * vX_[126]) + vX_[1234];
+ vX_[208] = vX_[215] + vX_[218] * vX_[127];
+ vX_[207] = 0 - vX_[208];
+ vX_[173] = vX_[9099] * vX_[139] + vX_[1503] * vX_[126];
+ vX_[179] = vX_[2119] * vX_[126] + vX_[2120] * vX_[1] + vX_[173];
+ vX_[178] = 0 - vX_[216];
+ vX_[177] = vX_[179] + vX_[1080] * vX_[127] + vX_[178] * vX_[27];
+ vX_[3484] = vX_[2108] + vX_[3484];
+ vX_[2108] = vX_[3691] * vX_[126] + vX_[3484] * vX_[139];
+ vX_[176] = vX_[2108] * vX_[126] + vX_[1886] * vX_[1];
+ vX_[1733] = vX_[2127] + vX_[1733];
+ vX_[1569] = 0 - vX_[1569];
+ vX_[2127] = vX_[1733] * vX_[139] + vX_[1569] * vX_[126];
+ vX_[175] = 0 - vX_[2127];
+ vX_[174] = vX_[176] + vX_[175] * vX_[27] + vX_[217] * vX_[141];
+ vX_[172] = 0 - vX_[174];
+ vX_[171] = vX_[3691] * vX_[1] + vX_[3484] * vX_[126];
+ vX_[170] = vX_[171] * vX_[139] + vX_[1685] * vX_[126];
+ vX_[169] = vX_[1733] * vX_[126] + vX_[1243] * vX_[1];
+ vX_[168] = 0 - vX_[169];
+ vX_[167] = vX_[170] + vX_[168] * vX_[127] + vX_[216] * vX_[141];
+ vX_[1262] = vX_[171] * vX_[126] + vX_[1685] * vX_[1];
+ vX_[1293] = vX_[1262] + vX_[2127] * vX_[127];
+ vX_[1321] = vX_[2108] * vX_[139] + vX_[1886] * vX_[126];
+ vX_[8952] = vX_[1321] + vX_[169] * vX_[27] + vX_[219] * vX_[141];
+ vX_[8950] = 0 - vX_[1293] + vX_[8952];
+ vX_[8949] = 0 - vX_[1080];
+ vX_[8948] = 0 - vX_[218];
+ vX_[217] = vX_[219] * vX_[569] + vX_[217] * vX_[517] + vX_[216] * vX_[105] + vX_[207] * vX_[142] +
+ vX_[177] * vX_[153] + vX_[172] * vX_[134] + vX_[167] * vX_[128] + vX_[8950] * vX_[125] +
+ vX_[8949] * vX_[566] + vX_[1080] * vX_[563] + vX_[8948] * vX_[516] + vX_[216] * vX_[520];
+ vX_[219] = vX_[2135] * -3.44;
+ vX_[8947] = vX_[2146] * 0.1466472;
+ vX_[225] = vX_[2144] * 0.5824264;
+ vX_[221] = 0 - vX_[219] + vX_[8947] - vX_[225];
+ vX_[191] = vX_[2136] * vX_[153] + vX_[2135] * vX_[128] + vX_[2139] * vX_[125] + vX_[2142] * vX_[563] +
+ vX_[2144] * vX_[514];
+ vX_[749] =
+ vX_[724] * vX_[751] + vX_[1586] * vX_[75] + vX_[221] * vX_[4085] + vX_[749] * vX_[4104] - vX_[191] * x_in[33];
+ vX_[2923] = vX_[3733] + vX_[1544] + vX_[2923] - vX_[218] - vX_[216];
+ vX_[1544] = 0 - vX_[2923];
+ vX_[1234] = vX_[1234] + vX_[1544] * vX_[127];
+ vX_[173] = vX_[173] + vX_[2923] * vX_[27];
+ vX_[3733] = 0 - vX_[177];
+ vX_[184] = 0 - vX_[167];
+ vX_[1552] = vX_[1469] + vX_[1552] + vX_[3484] + vX_[3695] - vX_[1262] - vX_[1321];
+ vX_[8952] = vX_[1552] - vX_[8952];
+ vX_[1469] = 0 - vX_[2127];
+ vX_[183] = 0 - vX_[1080];
+ vX_[261] = 0 - vX_[216];
+ vX_[1193] = vX_[3668] - vX_[2121];
+ vX_[685] = vX_[2113] + vX_[685];
+ vX_[2113] = vX_[1193] * vX_[126] + vX_[3687] * vX_[1];
+ vX_[2019] = vX_[1193] * vX_[139] + vX_[3687] * vX_[126];
+ vX_[2164] = vX_[2160] * 0.1104774 + vX_[2162] * -0.0004405 + vX_[2164] * 0.025941;
+ vX_[165] = (0 - vX_[2149]) * 8.81e-05;
+ vX_[663] = vX_[165] + vX_[663];
+ vX_[2168] = vX_[2149] * -0.0004405 + vX_[2160] * -8.81e-05 + vX_[2168] * 0.000468;
+ vX_[663] = vX_[1883] * vX_[4062] + vX_[741] * vX_[4061] + vX_[3630] * vX_[4071] + vX_[2164] * vX_[4070] +
+ vX_[663] * vX_[4053] + vX_[663] * vX_[4053] + vX_[2168] * x_in[35];
+ vX_[165] = vX_[165] + vX_[1428];
+ vX_[2166] = vX_[2149] * -0.1104774 + vX_[2162] * 8.81e-05 + vX_[2166] * 0.026409;
+ vX_[165] = vX_[8977] * vX_[4062] + vX_[4125] * vX_[1994] + vX_[2112] * vX_[4071] + vX_[2164] * vX_[4053] +
+ vX_[165] * vX_[4070] + vX_[165] * vX_[4070] - vX_[2166] * x_in[35];
+ vX_[2164] = vX_[2151] * 0.47422804 + vX_[2152] * 0.0825825 + vX_[2159] * 0.081641 + (0 - vX_[2148]) * 2.1e-05 +
+ vX_[2157] * -0.000102;
+ vX_[4125] = (0 - vX_[2159]) * -0.007418;
+ vX_[3953] = vX_[4112] + vX_[4125] - vX_[3953];
+ vX_[4112] =
+ vX_[2147] * vX_[69] + vX_[2151] * vX_[85] + vX_[2152] * vX_[74] + vX_[2148] * vX_[117] + vX_[2157] * vX_[113];
+ vX_[3953] = vX_[8965] * -0.35 + vX_[663] * vX_[7] + vX_[165] * vX_[51] + vX_[7313] * vX_[4064] +
+ vX_[976] * vX_[4091] + vX_[3707] * vX_[4082] + vX_[2164] * vX_[4074] + vX_[3953] * vX_[4072] +
+ vX_[3953] * vX_[4072] + vX_[4112] * x_in[34];
+ vX_[4125] = vX_[687] - vX_[4125] - vX_[3717];
+ vX_[3717] =
+ vX_[2147] * vX_[82] + vX_[2151] * vX_[86] + vX_[2152] * vX_[80] + vX_[2148] * vX_[111] + vX_[2157] * vX_[117];
+ vX_[4125] = vX_[663] * vX_[52] + vX_[165] * vX_[7] + vX_[670] * vX_[4064] + vX_[2020] * vX_[4066] +
+ vX_[638] * vX_[4082] + vX_[2164] * vX_[4072] + vX_[4125] * vX_[4074] + vX_[4125] * vX_[4074] -
+ vX_[3717] * x_in[34];
+ vX_[225] = vX_[219] - vX_[8947] + vX_[225];
+ vX_[8947] = vX_[2136] * 0.1466472 + vX_[2139] * 0.5824264 + vX_[2146] * -5.1e-05 + (0 - vX_[2142]) * -0.123672 +
+ (0 - vX_[2144]) * -3.6e-05;
+ vX_[219] = vX_[2142] * -0.022734;
+ vX_[1115] = vX_[1122] - vX_[1115] - vX_[219];
+ vX_[1122] =
+ vX_[2136] * vX_[96] + vX_[2135] * vX_[563] + vX_[2139] * vX_[515] + vX_[2142] * vX_[513] + vX_[2144] * vX_[565];
+ vX_[1115] = vX_[3953] * vX_[4] + vX_[4125] * vX_[75] + vX_[225] * vX_[4095] + vX_[1210] * vX_[4096] +
+ vX_[8947] * vX_[4085] + vX_[1123] * vX_[4104] + vX_[1115] * vX_[4092] + vX_[1115] * vX_[4092] -
+ vX_[1122] * x_in[33];
+ vX_[2195] = vX_[2195] * vX_[1986];
+ vX_[2196] = vX_[2196] * vX_[1986];
+ vX_[1123] = vX_[2195] * vX_[7] + vX_[2196] * vX_[51];
+ vX_[2197] = vX_[2197] * vX_[1986];
+ vX_[2167] = vX_[2167] * vX_[1975];
+ vX_[1210] = vX_[2167] * vX_[7];
+ vX_[2164] = vX_[2167] * vX_[51];
+ vX_[2183] = vX_[2183] * vX_[1993];
+ vX_[2020] = vX_[2183] * vX_[51];
+ vX_[2169] = vX_[2169] * vX_[1975];
+ vX_[638] = vX_[2169] * vX_[7];
+ vX_[670] = 0 - vX_[638];
+ vX_[687] = vX_[2169] * vX_[51];
+ vX_[976] = 0 - vX_[2164];
+ vX_[3707] = 0 - vX_[2183];
+ vX_[7313] = vX_[3707] * vX_[7];
+ vX_[2184] = vX_[2184] * vX_[1993];
+ vX_[8965] = 0 - vX_[2184];
+ vX_[2112] = vX_[8965] * vX_[51];
+ vX_[8977] = vX_[2184] * vX_[7];
+ vX_[2171] = vX_[2171] * vX_[1983];
+ vX_[2162] = vX_[2195] + vX_[2171];
+ vX_[2172] = vX_[2172] * vX_[1983];
+ vX_[2149] = 0 - vX_[2196] - vX_[2172];
+ vX_[1428] = vX_[2162] * vX_[51] + vX_[2149] * vX_[7];
+ vX_[741] = vX_[2171] * vX_[7] + vX_[2172] * vX_[51];
+ vX_[2189] = vX_[2189] * vX_[1993] + vX_[2177] * vX_[1975];
+ vX_[2177] = 0 - vX_[2189];
+ vX_[3630] = 0 - vX_[2189];
+ vX_[1883] = vX_[3630] * vX_[7];
+ vX_[2160] = vX_[2189] * vX_[51];
+ vX_[5852] = vX_[2190] * vX_[893] + vX_[2422] * vX_[845] + vX_[2431] * vX_[877];
+ vX_[1969] = 0 - vX_[5852];
+ vX_[195] = vX_[2190] * vX_[985] + vX_[2422] * vX_[878] + vX_[2431] * vX_[839];
+ vX_[181] = vX_[1969] * x_in[18] + vX_[195] * x_in[19];
+ vX_[2017] = 0 - vX_[181];
+ vX_[946] = 0 - vX_[181];
+ vX_[244] = vX_[946] * vX_[7];
+ vX_[1129] = vX_[181] * vX_[51];
+ vX_[2190] = vX_[2190] * vX_[875] + vX_[2422] * vX_[894] + vX_[2431] * vX_[986];
+ jac[1243] = vX_[798] * vX_[3967] + vX_[1004] * vX_[4066] + vX_[3717] * vX_[3980] + vX_[4112] * vX_[4072] + vX_[44] +
+ vX_[2190] * vX_[899] + vX_[5852] * vX_[851] + vX_[195] * vX_[884];
+ jac[1279] = vX_[3704] * vX_[1988] + vX_[665] * vX_[1994] + vX_[2166] * vX_[988] + vX_[2168] * vX_[4053] +
+ vX_[3699] + vX_[2190] * vX_[908] + vX_[5852] * vX_[862] + vX_[195] * vX_[881];
+ vX_[2166] = vX_[2190] * x_in[35];
+ vX_[2168] = vX_[2166] * vX_[7];
+ vX_[3704] = vX_[2166] * vX_[51];
+ vX_[665] = vX_[2190] * x_in[34];
+ vX_[3699] = vX_[665] * vX_[51];
+ vX_[3717] = vX_[5852] * x_in[33];
+ vX_[4112] = vX_[665] * vX_[7];
+ vX_[798] = vX_[3717] * vX_[7];
+ vX_[1004] = vX_[3717] * vX_[51];
+ vX_[44] = vX_[2201] * vX_[940];
+ vX_[2431] = 0 - vX_[44];
+ vX_[2422] = 0 - vX_[44];
+ vX_[190] = vX_[2422] * vX_[7];
+ vX_[8529] = vX_[44] * vX_[51];
+ vX_[1542] = 0 - vX_[1542];
+ vX_[8530] = vX_[2019] + vX_[2115];
+ vX_[8532] = 0 - vX_[1234];
+ vX_[8514] = 0 - vX_[173];
+ vX_[1552] = 0 - vX_[1552] + vX_[1293];
+ vX_[1293] = 0 - vX_[169];
+ vX_[2161] = vX_[2161] * vX_[1975];
+ vX_[8515] = vX_[2161] * vX_[51];
+ vX_[2163] = vX_[2163] * vX_[1975];
+ vX_[1917] = vX_[2163] * vX_[7];
+ vX_[2165] = vX_[2165] * vX_[1975];
+ vX_[2182] = vX_[2182] * vX_[1993];
+ vX_[2198] = vX_[2198] * vX_[1986];
+ vX_[8517] = vX_[2198] * vX_[7];
+ vX_[3644] = vX_[2198] * vX_[51];
+ vX_[2187] = vX_[2187] * vX_[810];
+ vX_[8519] = vX_[2187] * vX_[51];
+ vX_[2199] = vX_[2199] * vX_[1986];
+ vX_[2402] = vX_[2199] * vX_[7];
+ vX_[9048] = 0 - vX_[2402];
+ vX_[8520] = vX_[2199] * vX_[51];
+ vX_[2766] = 0 - vX_[2161] - vX_[2187];
+ vX_[2188] = vX_[2188] * vX_[810];
+ vX_[7121] = 0 - vX_[2163] - vX_[2188];
+ vX_[8094] = vX_[2766] * vX_[7] + vX_[7121] * vX_[51];
+ vX_[7336] = vX_[2188] * vX_[7];
+ vX_[2185] = vX_[2185] * vX_[1993] + vX_[2176] * vX_[1986];
+ vX_[2176] = vX_[2185] * vX_[7];
+ vX_[3442] = vX_[2185] * vX_[51];
+ vX_[1943] = 0 - vX_[195];
+ vX_[7353] = vX_[2190] * x_in[18] + vX_[1943] * x_in[20];
+ vX_[7862] = vX_[7353] * vX_[7];
+ vX_[909] = vX_[7353] * vX_[51];
+ vX_[2770] = vX_[2190] * x_in[33];
+ vX_[8145] = vX_[5852] * x_in[35];
+ vX_[466] = 0 - vX_[8145];
+ vX_[8114] = vX_[466] * vX_[7];
+ vX_[8138] = vX_[8145] * vX_[51];
+ vX_[8511] = vX_[5852] * x_in[34];
+ vX_[8512] = 0 - vX_[8511];
+ vX_[8546] = vX_[2770] * vX_[7];
+ vX_[8573] = 0 - vX_[8511];
+ vX_[8548] = vX_[8573] * vX_[7];
+ vX_[8547] = vX_[2770] * vX_[51];
+ vX_[8553] = vX_[8511] * vX_[51];
+ vX_[8554] = vX_[2201] * vX_[929];
+ vX_[2816] = vX_[8554] * vX_[7];
+ vX_[6269] = vX_[8554] * vX_[51];
+ jac[559] =
+ 0 -
+ (vX_[2114] * vX_[776] + vX_[2128] * vX_[957] + vX_[1018] * vX_[699] + vX_[3687] * vX_[701] +
+ vX_[2111] * vX_[142] + vX_[2115] * vX_[389] + vX_[3737] * vX_[125] + vX_[3691] * vX_[674] +
+ vX_[1503] * vX_[150] + vX_[3695] * vX_[643] + vX_[1685] * vX_[642] + vX_[1886] * vX_[639] +
+ vX_[2120] * vX_[159] + vX_[2109] * vX_[573] + vX_[3678] * vX_[575] + vX_[1243] * vX_[623] +
+ vX_[2118] * vX_[519] + vX_[3036] * vX_[570] + vX_[8981] * x_in[22] + vX_[1108] * x_in[19] +
+ (vX_[2123] * vX_[776] + vX_[217] * vX_[139] + vX_[8981] * x_in[20]) * -0.3735 -
+ (vX_[2116] * vX_[4079] + vX_[749] * x_in[23]) + (vX_[2128] * vX_[4079] + vX_[749] * x_in[19]) * -0.3735 +
+ (vX_[2134] * vX_[4079] + vX_[175] * vX_[517] + vX_[169] * vX_[569] + vX_[2923] * vX_[152] +
+ vX_[178] * vX_[154] + vX_[1234] * vX_[125] + vX_[173] * vX_[134] + vX_[3733] * vX_[137] +
+ vX_[184] * vX_[153] + vX_[8952] * vX_[142] + vX_[1469] * vX_[515] + vX_[169] * vX_[566] +
+ vX_[183] * vX_[96] + vX_[261] * vX_[522] + vX_[749] * x_in[18]) *
+ 0.207 -
+ (vX_[2123] * vX_[951] + vX_[1193] * vX_[698] + vX_[685] * vX_[684] + vX_[2113] * vX_[125] +
+ vX_[2019] * vX_[271] + vX_[2122] * vX_[640] + vX_[9099] * vX_[160] + vX_[3484] * vX_[675] +
+ vX_[171] * vX_[641] + vX_[2108] * vX_[568] + vX_[2119] * vX_[149] + vX_[1100] * vX_[572] +
+ vX_[1733] * vX_[622] + vX_[1097] * vX_[570] + vX_[1087] * vX_[523] + vX_[217] * vX_[140] +
+ vX_[1115] * x_in[20]) +
+ vX_[2150] * vX_[1975] + vX_[2186] * vX_[810] + vX_[1123] * vX_[9] + (0 - vX_[2197]) * 0.3735 +
+ vX_[2197] * vX_[9] * -0.35 + vX_[1210] * 0.35 + vX_[1210] * vX_[75] * 0.08 + vX_[1210] * vX_[9] * 0.3735 +
+ vX_[2164] * vX_[75] * 0.3735 + vX_[2020] * vX_[75] * -0.207 + vX_[670] * vX_[75] * 0.3735 +
+ vX_[687] * 0.35 + (vX_[976] * vX_[9] + vX_[687] * vX_[75]) * 0.08 + vX_[687] * vX_[9] * 0.3735 +
+ (vX_[7313] * vX_[9] + vX_[2112] * vX_[9]) * 0.207 + vX_[8977] * vX_[75] * 0.207 + vX_[1428] * vX_[75] +
+ vX_[741] * vX_[9] + (vX_[638] * vX_[9] - vX_[2189]) * 0.08 + vX_[2177] * vX_[75] * 0.35 +
+ vX_[1883] * vX_[75] * 0.33 + vX_[2160] * vX_[9] * 0.33 + (0 - vX_[181]) * 0.08 +
+ vX_[2017] * vX_[75] * 0.35 + vX_[244] * vX_[75] * 0.33 + vX_[1129] * vX_[9] * 0.33 +
+ vX_[2168] * vX_[9] * 0.33 + vX_[3704] * vX_[75] * 0.33 + vX_[665] * vX_[9] * 0.35 +
+ vX_[3699] * vX_[75] * 0.33 + vX_[3717] * 0.08 + vX_[3717] * vX_[75] * 0.35 +
+ (vX_[4112] * vX_[9] + vX_[798] * vX_[75]) * 0.33 + vX_[1004] * vX_[9] * -0.33 + (0 - vX_[44]) * 0.08 +
+ vX_[2431] * vX_[75] * 0.35 + vX_[190] * vX_[75] * 0.33 + vX_[8529] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[2116] * vX_[776] + vX_[2114] * vX_[4079] + vX_[2123] * vX_[957] + vX_[2128] * vX_[951] +
+ vX_[1193] * vX_[701] + vX_[1018] * vX_[697] + vX_[3687] * vX_[698] + vX_[685] * vX_[142] +
+ vX_[1542] * vX_[684] + vX_[2113] * vX_[389] + vX_[8530] * vX_[125] + vX_[3737] * vX_[271] +
+ vX_[3691] * vX_[675] + vX_[2122] * vX_[643] + vX_[9099] * vX_[150] + vX_[1503] * vX_[160] +
+ vX_[3484] * vX_[674] + vX_[3695] * vX_[640] + vX_[171] * vX_[642] + vX_[2108] * vX_[639] +
+ vX_[1685] * vX_[641] + vX_[1886] * vX_[568] + vX_[2119] * vX_[159] + vX_[2120] * vX_[149] +
+ vX_[1100] * vX_[575] + vX_[2109] * vX_[571] + vX_[3678] * vX_[572] + vX_[1733] * vX_[623] +
+ vX_[1569] * vX_[622] + vX_[1097] * vX_[519] + vX_[1081] * vX_[570] + vX_[3036] * vX_[523] +
+ vX_[217] * vX_[138] +
+ (vX_[2127] * vX_[567] + vX_[168] * vX_[105] + vX_[1080] * vX_[154] + vX_[1544] * vX_[129] +
+ vX_[218] * vX_[143] + vX_[8532] * vX_[128] + vX_[208] * vX_[137] + vX_[8514] * vX_[125] +
+ vX_[174] * vX_[142] + vX_[1552] * vX_[153] + vX_[2127] * vX_[563] + vX_[1293] * vX_[514] +
+ vX_[1080] * vX_[158] + vX_[218] * vX_[511]) *
+ 0.207 +
+ vX_[8981] * x_in[23] + vX_[749] * x_in[22] + vX_[1108] * x_in[20] + vX_[1115] * x_in[19] +
+ (vX_[2128] * vX_[776] + vX_[217] * vX_[126] + vX_[8981] * x_in[19]) * 0.3735 +
+ (vX_[2134] * vX_[776] + vX_[8981] * x_in[18]) * -0.207 +
+ (vX_[2123] * vX_[4079] + vX_[749] * x_in[20]) * -0.3735 + vX_[2194] * vX_[1986] + vX_[2170] * vX_[1983] -
+ vX_[8515] * vX_[75] + vX_[1917] * vX_[75] + vX_[2165] * 0.3735 + vX_[2165] * vX_[9] * 0.35 +
+ (0 - vX_[2182]) * 0.207 + vX_[8517] * 0.35 + vX_[8517] * vX_[75] * 0.08 + vX_[8517] * vX_[9] * 0.3735 +
+ vX_[3644] * vX_[75] * 0.3735 + (0 - vX_[3644] * vX_[9]) * 0.08 - vX_[8519] * vX_[75] +
+ vX_[9048] * vX_[75] * 0.3735 + vX_[2402] * vX_[9] * 0.08 + vX_[8520] * 0.35 + vX_[8520] * vX_[75] * 0.08 +
+ vX_[8520] * vX_[9] * 0.3735 + vX_[8094] * vX_[9] + vX_[7336] * vX_[75] + vX_[2185] * 0.08 +
+ vX_[2185] * vX_[75] * 0.35 + vX_[2176] * vX_[75] * 0.33 + vX_[3442] * vX_[9] * -0.33 + vX_[7353] * 0.08 +
+ vX_[7353] * vX_[75] * 0.35 + vX_[7862] * vX_[75] * 0.33 + vX_[909] * vX_[9] * -0.33 + vX_[2770] * 0.08 +
+ vX_[2770] * vX_[75] * 0.35 + vX_[8114] * vX_[9] * 0.33 + vX_[8138] * vX_[75] * -0.33 +
+ vX_[8512] * vX_[9] * 0.35 + (vX_[8546] * vX_[75] + vX_[8548] * vX_[9]) * 0.33 +
+ (vX_[8547] * vX_[9] + vX_[8553] * vX_[75]) * -0.33 + vX_[8554] * 0.08 + vX_[8554] * vX_[75] * 0.35 +
+ vX_[2816] * vX_[75] * 0.33 + vX_[6269] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[1193] = vX_[1846] - vX_[2520];
+ vX_[1158] = vX_[2514] + vX_[1158];
+ vX_[2124] = vX_[2511] + vX_[2124];
+ vX_[2511] = 0 - vX_[2124];
+ vX_[2514] = vX_[1193] * vX_[1];
+ vX_[1544] = vX_[1193] * vX_[126];
+ vX_[1242] = vX_[2125] + vX_[1242];
+ vX_[8352] = vX_[8375] + vX_[8352];
+ vX_[1261] = vX_[8366] + vX_[1261];
+ vX_[2522] = vX_[8493] + vX_[2522];
+ vX_[8493] = vX_[2522] * vX_[126] + vX_[1261] * vX_[1];
+ vX_[8366] = vX_[2522] * vX_[139] + vX_[1261] * vX_[126];
+ vX_[8356] = vX_[8492] + vX_[8356];
+ vX_[2519] = 0 - (vX_[1939] + vX_[2519]) + vX_[8356];
+ vX_[1939] = vX_[8371] - vX_[8376];
+ vX_[1258] = vX_[2517] + vX_[1258];
+ vX_[8355] = vX_[8346] + vX_[8355];
+ vX_[8346] = 0 - vX_[8355];
+ vX_[2517] = vX_[1939] * vX_[1];
+ vX_[8492] = vX_[1939] * vX_[126];
+ vX_[8375] = vX_[2562] * 0.881 + (0 - vX_[2564]) * -0.0004405 + vX_[2566] * 8.81e-05;
+ vX_[2125] = vX_[2560] * -0.881;
+ vX_[2923] = vX_[2564] * 0.1104774;
+ vX_[217] = vX_[2568] * 8.81e-05;
+ vX_[168] = vX_[2125] - vX_[2923] + vX_[217];
+ vX_[171] = vX_[8375] * vX_[4053] + vX_[168] * vX_[4070];
+ vX_[175] = vX_[2552] * 3.146 + (0 - vX_[2559]) * 0.0825825;
+ vX_[1569] = vX_[2551] * -3.146;
+ vX_[1733] = vX_[2559] * 0.47422804;
+ vX_[2108] = vX_[1569] - vX_[1733];
+ vX_[3484] = vX_[171] + vX_[175] * vX_[4072] + vX_[2108] * vX_[4074];
+ vX_[178] = vX_[2539] * 3.44 + vX_[2542] * 0.5824264;
+ vX_[2119] = 0 - vX_[178];
+ vX_[1081] = vX_[2536] * 3.44 + (0 - vX_[2542]) * 0.1466472;
+ vX_[1087] = vX_[2536] * vX_[142] + vX_[2535] * vX_[125] + vX_[2539] * vX_[134] + vX_[2542] * vX_[515] +
+ vX_[2544] * vX_[566];
+ vX_[1097] = vX_[3484] + vX_[2119] * vX_[4085] + vX_[1081] * vX_[4092] + vX_[1087] * x_in[33];
+ vX_[1100] = 0 - vX_[8375];
+ vX_[217] = 0 - vX_[2125] + vX_[2923] - vX_[217];
+ vX_[2923] = vX_[2549] * -0.0004405 + vX_[2560] * 8.81e-05 + vX_[2568] * -0.000227999999999999;
+ vX_[2125] = vX_[2549] * 0.1104774 + vX_[2562] * 8.81e-05 + (0 - vX_[2566]) * 0.025713;
+ vX_[3036] = (0 - vX_[2560]) * -0.0004405;
+ vX_[2118] = (0 - vX_[2562]) * 0.1104774;
+ vX_[1243] = vX_[3036] + vX_[2118];
+ vX_[1243] = vX_[1100] * vX_[1994] + vX_[217] * vX_[4061] + vX_[2923] * vX_[4053] + vX_[2125] * vX_[4070] +
+ vX_[1243] * vX_[4071] + vX_[1243] * vX_[4071];
+ vX_[3678] = vX_[2549] * 0.881 + (0 - vX_[2566]) * 0.1104774 + vX_[2568] * -0.0004405;
+ vX_[2109] = vX_[2560] * -0.00185880198235362 + vX_[2562] * 0.880992588508842 + vX_[2566] * 8.81e-05;
+ vX_[1100] = vX_[1100] * vX_[4071] + vX_[3678] * vX_[4070] + vX_[2109] * x_in[35];
+ vX_[2120] = 0 - vX_[3678];
+ vX_[9099] = vX_[2560] * 0.414812462825713 + vX_[2562] * -0.00185880198235362 + vX_[2568] * -8.81e-05;
+ vX_[217] = vX_[217] * vX_[4071] + vX_[2120] * vX_[4053] - vX_[9099] * x_in[35];
+ vX_[1886] = 0 - vX_[175];
+ vX_[1733] = 0 - vX_[1569] + vX_[1733];
+ vX_[1569] = vX_[2547] * 0.0825825 + (0 - vX_[2559]) * -0.000102 + vX_[2548] * -0.007418 + vX_[2557] * 0.002735;
+ vX_[1685] = vX_[2547] * 0.47422804 + vX_[2559] * 2.1e-05 + (0 - vX_[2548]) * 0.084376 + (0 - vX_[2557]) * -0.007418;
+ vX_[2122] = (0 - vX_[2551]) * 0.0825825;
+ vX_[3695] = (0 - vX_[2552]) * 0.47422804;
+ vX_[1503] = vX_[2548] * -0.000102;
+ vX_[3691] = (0 - vX_[2557]) * 2.1e-05;
+ vX_[3687] = vX_[2122] + vX_[3695] + vX_[1503] + vX_[3691];
+ vX_[3687] = vX_[1243] + vX_[1100] * vX_[764] + vX_[217] * vX_[54] + vX_[1886] * vX_[4066] + vX_[1733] * vX_[4091] +
+ vX_[1569] * vX_[4072] + vX_[1685] * vX_[4074] + vX_[3687] * vX_[4082] + vX_[3687] * vX_[4082];
+ vX_[1018] = vX_[2547] * 3.146 + (0 - vX_[2548]) * 0.47422804 + vX_[2557] * 0.0825825;
+ vX_[2194] = vX_[2551] * vX_[102] + vX_[2552] * vX_[101] + vX_[2548] * vX_[80] + vX_[2557] * vX_[74];
+ vX_[1886] =
+ vX_[1100] * vX_[7] + vX_[217] * vX_[51] + vX_[1886] * vX_[4082] + vX_[1018] * vX_[4074] + vX_[2194] * x_in[34];
+ vX_[2186] = 0 - vX_[1018];
+ vX_[2170] = vX_[2551] * vX_[100] + vX_[2552] * vX_[102] + vX_[2548] * vX_[86] + vX_[2557] * vX_[85];
+ vX_[1733] =
+ vX_[1100] * vX_[756] + vX_[217] * vX_[7] + vX_[1733] * vX_[4082] + vX_[2186] * vX_[4072] - vX_[2170] * x_in[34];
+ vX_[2150] = 0 - vX_[1081];
+ vX_[1257] = vX_[2535] * 0.5824264 + (0 - vX_[2546]) * -0.022734 + vX_[2542] * -3.6e-05 + vX_[2544] * -0.133138;
+ vX_[6886] = vX_[2535] * 0.1466472 + vX_[2546] * 0.009466 + (0 - vX_[2542]) * -5.1e-05 + vX_[2544] * -0.022734;
+ vX_[2806] = (0 - vX_[2536]) * 0.5824264;
+ vX_[6908] = (0 - vX_[2539]) * 0.1466472;
+ vX_[3365] = (0 - vX_[2546]) * -3.6e-05;
+ vX_[4003] = (0 - vX_[2544]) * -5.1e-05;
+ vX_[8558] = vX_[2806] + vX_[6908] + vX_[3365] - vX_[4003];
+ vX_[8561] = vX_[2536] * vX_[158] + vX_[2535] * vX_[514] + vX_[2539] * vX_[566] + vX_[2542] * vX_[565] +
+ vX_[2544] * vX_[122];
+ vX_[8558] = vX_[3687] + vX_[1886] * vX_[752] + vX_[1733] * vX_[93] + vX_[178] * vX_[4095] + vX_[2150] * vX_[3880] +
+ vX_[1257] * vX_[4085] + vX_[6886] * vX_[4092] + vX_[8558] * vX_[4104] + vX_[8558] * vX_[4104] +
+ vX_[8561] * x_in[33];
+ vX_[6614] = vX_[2926] - vX_[8376];
+ vX_[2799] = vX_[6614] * vX_[126] + vX_[1258] * vX_[1];
+ vX_[8572] = vX_[6614] * vX_[139] + vX_[1258] * vX_[126];
+ vX_[8560] = vX_[8572] + vX_[2517];
+ vX_[8571] = vX_[2799] * vX_[139] + vX_[8560] * vX_[126] + vX_[8492] * vX_[1];
+ vX_[2800] = 0 - vX_[8571];
+ vX_[8534] = vX_[8376] + vX_[2799] * vX_[126] + vX_[2517] * vX_[1];
+ vX_[2357] = 0 - vX_[8534];
+ vX_[8749] = vX_[8376] + vX_[8572] * vX_[139] + vX_[8492] * vX_[126];
+ vX_[2518] = vX_[8350] + vX_[2518] - vX_[8352];
+ vX_[8350] = vX_[8356] * vX_[126] + vX_[8352] * vX_[1];
+ vX_[8764] = 0 - (vX_[2518] * vX_[139] + vX_[2519] * vX_[126]) + vX_[8350];
+ vX_[7331] = vX_[8764] + vX_[8534] * vX_[127];
+ vX_[7348] = 0 - vX_[7331];
+ vX_[8539] = vX_[8356] * vX_[139] + vX_[8352] * vX_[126];
+ vX_[6909] = vX_[2518] * vX_[126] + vX_[2519] * vX_[1] + vX_[8539];
+ vX_[8582] = 0 - vX_[8749];
+ vX_[8533] = vX_[6909] + vX_[8571] * vX_[127] + vX_[8582] * vX_[27];
+ vX_[917] = vX_[2117] + vX_[917];
+ vX_[2117] = vX_[1242] * vX_[126] + vX_[917] * vX_[139];
+ vX_[8562] = vX_[2117] * vX_[126] + vX_[8366] * vX_[1];
+ vX_[8491] = vX_[2527] + vX_[8491];
+ vX_[8355] = 0 - vX_[8355];
+ vX_[2527] = vX_[8491] * vX_[139] + vX_[8355] * vX_[126];
+ vX_[495] = 0 - vX_[2527];
+ vX_[8545] = vX_[8562] + vX_[495] * vX_[27] + vX_[2357] * vX_[141];
+ vX_[2365] = 0 - vX_[8545];
+ vX_[3151] = vX_[1242] * vX_[1] + vX_[917] * vX_[126];
+ vX_[8557] = vX_[3151] * vX_[139] + vX_[8493] * vX_[126];
+ vX_[8542] = vX_[8491] * vX_[126] + vX_[8346] * vX_[1];
+ vX_[8544] = 0 - vX_[8542];
+ vX_[8556] = vX_[8557] + vX_[8544] * vX_[127] + vX_[8749] * vX_[141];
+ vX_[8540] = vX_[3151] * vX_[126] + vX_[8493] * vX_[1];
+ vX_[8569] = vX_[8540] + vX_[2527] * vX_[127];
+ vX_[8568] = vX_[2117] * vX_[139] + vX_[8366] * vX_[126];
+ vX_[8537] = vX_[8568] + vX_[8542] * vX_[27] + vX_[2800] * vX_[141];
+ vX_[2408] = 0 - vX_[8569] + vX_[8537];
+ vX_[2390] = 0 - vX_[8571];
+ vX_[3247] = 0 - vX_[8534];
+ vX_[2357] = vX_[2800] * vX_[569] + vX_[2357] * vX_[517] + vX_[8749] * vX_[105] + vX_[7348] * vX_[142] +
+ vX_[8533] * vX_[153] + vX_[2365] * vX_[134] + vX_[8556] * vX_[128] + vX_[2408] * vX_[125] +
+ vX_[2390] * vX_[566] + vX_[8571] * vX_[563] + vX_[3247] * vX_[516] + vX_[8749] * vX_[520];
+ vX_[2800] = vX_[2535] * -3.44;
+ vX_[8526] = vX_[2546] * 0.1466472;
+ vX_[8531] = vX_[2544] * 0.5824264;
+ vX_[8525] = 0 - vX_[2800] + vX_[8526] - vX_[8531];
+ vX_[8524] = vX_[2536] * vX_[153] + vX_[2535] * vX_[128] + vX_[2539] * vX_[125] + vX_[2542] * vX_[563] +
+ vX_[2544] * vX_[514];
+ vX_[2150] = vX_[1886] * vX_[751] + vX_[1733] * vX_[75] + vX_[8525] * vX_[4085] + vX_[2150] * vX_[4104] -
+ vX_[8524] * x_in[33];
+ vX_[8376] = vX_[2926] + vX_[8371] + vX_[8376] - vX_[8534] - vX_[8749];
+ vX_[8371] = 0 - vX_[8376];
+ vX_[8350] = vX_[8350] + vX_[8371] * vX_[127];
+ vX_[8539] = vX_[8539] + vX_[8376] * vX_[27];
+ vX_[2926] = 0 - vX_[8533];
+ vX_[8521] = 0 - vX_[8556];
+ vX_[8342] = vX_[8195] + vX_[8342] + vX_[917] + vX_[1261] - vX_[8540] - vX_[8568];
+ vX_[8537] = vX_[8342] - vX_[8537];
+ vX_[8195] = 0 - vX_[2527];
+ vX_[8528] = 0 - vX_[8571];
+ vX_[8527] = 0 - vX_[8749];
+ vX_[618] = vX_[926] - vX_[2520];
+ vX_[1394] = vX_[2512] + vX_[1394];
+ vX_[2512] = vX_[618] * vX_[126] + vX_[1158] * vX_[1];
+ vX_[1740] = vX_[618] * vX_[139] + vX_[1158] * vX_[126];
+ vX_[2564] = vX_[2560] * 0.1104774 + vX_[2562] * -0.0004405 + vX_[2564] * 0.025941;
+ vX_[8705] = (0 - vX_[2549]) * 8.81e-05;
+ vX_[2118] = vX_[8705] + vX_[2118];
+ vX_[2568] = vX_[2549] * -0.0004405 + vX_[2560] * -8.81e-05 + vX_[2568] * 0.000468;
+ vX_[2118] = vX_[8375] * vX_[4062] + vX_[2120] * vX_[4061] + vX_[2923] * vX_[4071] + vX_[2564] * vX_[4070] +
+ vX_[2118] * vX_[4053] + vX_[2118] * vX_[4053] + vX_[2568] * x_in[35];
+ vX_[8705] = vX_[8705] + vX_[3036];
+ vX_[2566] = vX_[2549] * -0.1104774 + vX_[2562] * 8.81e-05 + vX_[2566] * 0.026409;
+ vX_[8705] = vX_[168] * vX_[4062] + vX_[3678] * vX_[1994] + vX_[2125] * vX_[4071] + vX_[2564] * vX_[4053] +
+ vX_[8705] * vX_[4070] + vX_[8705] * vX_[4070] - vX_[2566] * x_in[35];
+ vX_[2564] = vX_[2551] * 0.47422804 + vX_[2552] * 0.0825825 + vX_[2559] * 0.081641 + (0 - vX_[2548]) * 2.1e-05 +
+ vX_[2557] * -0.000102;
+ vX_[3678] = (0 - vX_[2559]) * -0.007418;
+ vX_[3691] = vX_[3695] + vX_[3678] - vX_[3691];
+ vX_[3695] =
+ vX_[2547] * vX_[69] + vX_[2551] * vX_[85] + vX_[2552] * vX_[74] + vX_[2548] * vX_[117] + vX_[2557] * vX_[113];
+ vX_[3691] = vX_[171] * -0.35 + vX_[2118] * vX_[7] + vX_[8705] * vX_[51] + vX_[175] * vX_[4064] +
+ vX_[2186] * vX_[4091] + vX_[1569] * vX_[4082] + vX_[2564] * vX_[4074] + vX_[3691] * vX_[4072] +
+ vX_[3691] * vX_[4072] + vX_[3695] * x_in[34];
+ vX_[3678] = vX_[2122] - vX_[3678] - vX_[1503];
+ vX_[1503] =
+ vX_[2547] * vX_[82] + vX_[2551] * vX_[86] + vX_[2552] * vX_[80] + vX_[2548] * vX_[111] + vX_[2557] * vX_[117];
+ vX_[3678] = vX_[2118] * vX_[52] + vX_[8705] * vX_[7] + vX_[2108] * vX_[4064] + vX_[1018] * vX_[4066] +
+ vX_[1685] * vX_[4082] + vX_[2564] * vX_[4072] + vX_[3678] * vX_[4074] + vX_[3678] * vX_[4074] -
+ vX_[1503] * x_in[34];
+ vX_[8531] = vX_[2800] - vX_[8526] + vX_[8531];
+ vX_[8526] = vX_[2536] * 0.1466472 + vX_[2539] * 0.5824264 + vX_[2546] * -5.1e-05 + (0 - vX_[2542]) * -0.123672 +
+ (0 - vX_[2544]) * -3.6e-05;
+ vX_[2800] = vX_[2542] * -0.022734;
+ vX_[3365] = vX_[2806] - vX_[3365] - vX_[2800];
+ vX_[2806] =
+ vX_[2536] * vX_[96] + vX_[2535] * vX_[563] + vX_[2539] * vX_[515] + vX_[2542] * vX_[513] + vX_[2544] * vX_[565];
+ vX_[3365] = vX_[3691] * vX_[4] + vX_[3678] * vX_[75] + vX_[8531] * vX_[4095] + vX_[1081] * vX_[4096] +
+ vX_[8526] * vX_[4085] + vX_[6886] * vX_[4104] + vX_[3365] * vX_[4092] + vX_[3365] * vX_[4092] -
+ vX_[2806] * x_in[33];
+ vX_[2595] = vX_[2595] * vX_[1986];
+ vX_[2596] = vX_[2596] * vX_[1986];
+ vX_[6886] = vX_[2595] * vX_[7] + vX_[2596] * vX_[51];
+ vX_[2597] = vX_[2597] * vX_[1986];
+ vX_[2567] = vX_[2567] * vX_[1975];
+ vX_[1081] = vX_[2567] * vX_[7];
+ vX_[2564] = vX_[2567] * vX_[51];
+ vX_[2583] = vX_[2583] * vX_[1993];
+ vX_[1018] = vX_[2583] * vX_[51];
+ vX_[2569] = vX_[2569] * vX_[1975];
+ vX_[1685] = vX_[2569] * vX_[7];
+ vX_[2108] = 0 - vX_[1685];
+ vX_[2122] = vX_[2569] * vX_[51];
+ vX_[2186] = 0 - vX_[2564];
+ vX_[1569] = 0 - vX_[2583];
+ vX_[175] = vX_[1569] * vX_[7];
+ vX_[2584] = vX_[2584] * vX_[1993];
+ vX_[171] = 0 - vX_[2584];
+ vX_[2125] = vX_[171] * vX_[51];
+ vX_[168] = vX_[2584] * vX_[7];
+ vX_[2571] = vX_[2571] * vX_[1983];
+ vX_[2562] = vX_[2595] + vX_[2571];
+ vX_[2572] = vX_[2572] * vX_[1983];
+ vX_[2549] = 0 - vX_[2596] - vX_[2572];
+ vX_[3036] = vX_[2562] * vX_[51] + vX_[2549] * vX_[7];
+ vX_[2120] = vX_[2571] * vX_[7] + vX_[2572] * vX_[51];
+ vX_[2589] = vX_[2589] * vX_[1993] + vX_[2577] * vX_[1975];
+ vX_[2577] = 0 - vX_[2589];
+ vX_[2923] = 0 - vX_[2589];
+ vX_[8375] = vX_[2923] * vX_[7];
+ vX_[2560] = vX_[2589] * vX_[51];
+ vX_[7301] = vX_[2590] * vX_[893] + vX_[2822] * vX_[845] + vX_[2831] * vX_[877];
+ vX_[8100] = 0 - vX_[7301];
+ vX_[8101] = vX_[2590] * vX_[985] + vX_[2822] * vX_[878] + vX_[2831] * vX_[839];
+ vX_[8103] = vX_[8100] * x_in[18] + vX_[8101] * x_in[19];
+ vX_[8085] = 0 - vX_[8103];
+ vX_[8086] = 0 - vX_[8103];
+ vX_[467] = vX_[8086] * vX_[7];
+ vX_[8088] = vX_[8103] * vX_[51];
+ vX_[2590] = vX_[2590] * vX_[875] + vX_[2822] * vX_[894] + vX_[2831] * vX_[986];
+ jac[1244] = vX_[2170] * vX_[3967] + vX_[2194] * vX_[4066] + vX_[1503] * vX_[3980] + vX_[3695] * vX_[4072] +
+ vX_[3687] + vX_[2590] * vX_[899] + vX_[7301] * vX_[851] + vX_[8101] * vX_[884];
+ jac[1280] = vX_[9099] * vX_[1988] + vX_[2109] * vX_[1994] + vX_[2566] * vX_[988] + vX_[2568] * vX_[4053] +
+ vX_[1243] + vX_[2590] * vX_[908] + vX_[7301] * vX_[862] + vX_[8101] * vX_[881];
+ vX_[2566] = vX_[2590] * x_in[35];
+ vX_[2568] = vX_[2566] * vX_[7];
+ vX_[9099] = vX_[2566] * vX_[51];
+ vX_[2109] = vX_[2590] * x_in[34];
+ vX_[1243] = vX_[2109] * vX_[51];
+ vX_[1503] = vX_[7301] * x_in[33];
+ vX_[3695] = vX_[2109] * vX_[7];
+ vX_[2170] = vX_[1503] * vX_[7];
+ vX_[2194] = vX_[1503] * vX_[51];
+ vX_[3687] = vX_[2601] * vX_[940];
+ vX_[2831] = 0 - vX_[3687];
+ vX_[2822] = 0 - vX_[3687];
+ vX_[450] = vX_[2822] * vX_[7];
+ vX_[8090] = vX_[3687] * vX_[51];
+ vX_[2124] = 0 - vX_[2124];
+ vX_[449] = vX_[1740] + vX_[2514];
+ vX_[650] = 0 - vX_[8350];
+ vX_[8091] = 0 - vX_[8539];
+ vX_[8342] = 0 - vX_[8342] + vX_[8569];
+ vX_[8569] = 0 - vX_[8542];
+ vX_[2561] = vX_[2561] * vX_[1975];
+ vX_[9085] = vX_[2561] * vX_[51];
+ vX_[2563] = vX_[2563] * vX_[1975];
+ vX_[6694] = vX_[2563] * vX_[7];
+ vX_[2565] = vX_[2565] * vX_[1975];
+ vX_[2582] = vX_[2582] * vX_[1993];
+ vX_[2598] = vX_[2598] * vX_[1986];
+ vX_[7675] = vX_[2598] * vX_[7];
+ vX_[9299] = vX_[2598] * vX_[51];
+ vX_[2587] = vX_[2587] * vX_[810];
+ vX_[494] = vX_[2587] * vX_[51];
+ vX_[2599] = vX_[2599] * vX_[1986];
+ vX_[468] = vX_[2599] * vX_[7];
+ vX_[9298] = 0 - vX_[468];
+ vX_[2815] = vX_[2599] * vX_[51];
+ vX_[2929] = 0 - vX_[2561] - vX_[2587];
+ vX_[2588] = vX_[2588] * vX_[810];
+ vX_[1730] = 0 - vX_[2563] - vX_[2588];
+ vX_[7726] = vX_[2929] * vX_[7] + vX_[1730] * vX_[51];
+ vX_[7663] = vX_[2588] * vX_[7];
+ vX_[2585] = vX_[2585] * vX_[1993] + vX_[2576] * vX_[1986];
+ vX_[2576] = vX_[2585] * vX_[7];
+ vX_[7695] = vX_[2585] * vX_[51];
+ vX_[7719] = 0 - vX_[8101];
+ vX_[8082] = vX_[2590] * x_in[18] + vX_[7719] * x_in[20];
+ vX_[8083] = vX_[8082] * vX_[7];
+ vX_[8117] = vX_[8082] * vX_[51];
+ vX_[8144] = vX_[2590] * x_in[33];
+ vX_[8119] = vX_[7301] * x_in[35];
+ vX_[8118] = 0 - vX_[8119];
+ vX_[8124] = vX_[8118] * vX_[7];
+ vX_[8125] = vX_[8119] * vX_[51];
+ vX_[3666] = vX_[7301] * x_in[34];
+ vX_[1890] = 0 - vX_[3666];
+ vX_[3109] = vX_[8144] * vX_[7];
+ vX_[1900] = 0 - vX_[3666];
+ vX_[1889] = vX_[1900] * vX_[7];
+ vX_[3291] = vX_[8144] * vX_[51];
+ vX_[7849] = vX_[3666] * vX_[51];
+ vX_[7737] = vX_[2601] * vX_[929];
+ vX_[8129] = vX_[7737] * vX_[7];
+ vX_[8132] = vX_[7737] * vX_[51];
+ jac[560] =
+ 0 -
+ (vX_[2513] * vX_[776] + vX_[2528] * vX_[957] + vX_[1193] * vX_[699] + vX_[1158] * vX_[701] +
+ vX_[2511] * vX_[142] + vX_[2514] * vX_[389] + vX_[1544] * vX_[125] + vX_[1242] * vX_[674] +
+ vX_[8352] * vX_[150] + vX_[1261] * vX_[643] + vX_[8493] * vX_[642] + vX_[8366] * vX_[639] +
+ vX_[2519] * vX_[159] + vX_[1939] * vX_[573] + vX_[1258] * vX_[575] + vX_[8346] * vX_[623] +
+ vX_[2517] * vX_[519] + vX_[8492] * vX_[570] + vX_[1097] * x_in[22] + vX_[8558] * x_in[19] +
+ (vX_[2523] * vX_[776] + vX_[2357] * vX_[139] + vX_[1097] * x_in[20]) * -0.3735 -
+ (vX_[2515] * vX_[4079] + vX_[2150] * x_in[23]) + (vX_[2528] * vX_[4079] + vX_[2150] * x_in[19]) * -0.3735 +
+ (vX_[2534] * vX_[4079] + vX_[495] * vX_[517] + vX_[8542] * vX_[569] + vX_[8376] * vX_[152] +
+ vX_[8582] * vX_[154] + vX_[8350] * vX_[125] + vX_[8539] * vX_[134] + vX_[2926] * vX_[137] +
+ vX_[8521] * vX_[153] + vX_[8537] * vX_[142] + vX_[8195] * vX_[515] + vX_[8542] * vX_[566] +
+ vX_[8528] * vX_[96] + vX_[8527] * vX_[522] + vX_[2150] * x_in[18]) *
+ 0.207 -
+ (vX_[2523] * vX_[951] + vX_[618] * vX_[698] + vX_[1394] * vX_[684] + vX_[2512] * vX_[125] +
+ vX_[1740] * vX_[271] + vX_[2522] * vX_[640] + vX_[8356] * vX_[160] + vX_[917] * vX_[675] +
+ vX_[3151] * vX_[641] + vX_[2117] * vX_[568] + vX_[2518] * vX_[149] + vX_[6614] * vX_[572] +
+ vX_[8491] * vX_[622] + vX_[2799] * vX_[570] + vX_[8572] * vX_[523] + vX_[2357] * vX_[140] +
+ vX_[3365] * x_in[20]) +
+ vX_[2550] * vX_[1975] + vX_[2586] * vX_[810] + vX_[6886] * vX_[9] + (0 - vX_[2597]) * 0.3735 +
+ vX_[2597] * vX_[9] * -0.35 + vX_[1081] * 0.35 + vX_[1081] * vX_[75] * 0.08 + vX_[1081] * vX_[9] * 0.3735 +
+ vX_[2564] * vX_[75] * 0.3735 + vX_[1018] * vX_[75] * -0.207 + vX_[2108] * vX_[75] * 0.3735 +
+ vX_[2122] * 0.35 + (vX_[2186] * vX_[9] + vX_[2122] * vX_[75]) * 0.08 + vX_[2122] * vX_[9] * 0.3735 +
+ (vX_[175] * vX_[9] + vX_[2125] * vX_[9]) * 0.207 + vX_[168] * vX_[75] * 0.207 + vX_[3036] * vX_[75] +
+ vX_[2120] * vX_[9] + (vX_[1685] * vX_[9] - vX_[2589]) * 0.08 + vX_[2577] * vX_[75] * 0.35 +
+ vX_[8375] * vX_[75] * 0.33 + vX_[2560] * vX_[9] * 0.33 + (0 - vX_[8103]) * 0.08 +
+ vX_[8085] * vX_[75] * 0.35 + vX_[467] * vX_[75] * 0.33 + vX_[8088] * vX_[9] * 0.33 +
+ vX_[2568] * vX_[9] * 0.33 + vX_[9099] * vX_[75] * 0.33 + vX_[2109] * vX_[9] * 0.35 +
+ vX_[1243] * vX_[75] * 0.33 + vX_[1503] * 0.08 + vX_[1503] * vX_[75] * 0.35 +
+ (vX_[3695] * vX_[9] + vX_[2170] * vX_[75]) * 0.33 + vX_[2194] * vX_[9] * -0.33 + (0 - vX_[3687]) * 0.08 +
+ vX_[2831] * vX_[75] * 0.35 + vX_[450] * vX_[75] * 0.33 + vX_[8090] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[2515] * vX_[776] + vX_[2513] * vX_[4079] + vX_[2523] * vX_[957] + vX_[2528] * vX_[951] +
+ vX_[618] * vX_[701] + vX_[1193] * vX_[697] + vX_[1158] * vX_[698] + vX_[1394] * vX_[142] +
+ vX_[2124] * vX_[684] + vX_[2512] * vX_[389] + vX_[449] * vX_[125] + vX_[1544] * vX_[271] +
+ vX_[1242] * vX_[675] + vX_[2522] * vX_[643] + vX_[8356] * vX_[150] + vX_[8352] * vX_[160] +
+ vX_[917] * vX_[674] + vX_[1261] * vX_[640] + vX_[3151] * vX_[642] + vX_[2117] * vX_[639] +
+ vX_[8493] * vX_[641] + vX_[8366] * vX_[568] + vX_[2518] * vX_[159] + vX_[2519] * vX_[149] +
+ vX_[6614] * vX_[575] + vX_[1939] * vX_[571] + vX_[1258] * vX_[572] + vX_[8491] * vX_[623] +
+ vX_[8355] * vX_[622] + vX_[2799] * vX_[519] + vX_[8560] * vX_[570] + vX_[8492] * vX_[523] +
+ vX_[2357] * vX_[138] +
+ (vX_[2527] * vX_[567] + vX_[8544] * vX_[105] + vX_[8571] * vX_[154] + vX_[8371] * vX_[129] +
+ vX_[8534] * vX_[143] + vX_[650] * vX_[128] + vX_[7331] * vX_[137] + vX_[8091] * vX_[125] +
+ vX_[8545] * vX_[142] + vX_[8342] * vX_[153] + vX_[2527] * vX_[563] + vX_[8569] * vX_[514] +
+ vX_[8571] * vX_[158] + vX_[8534] * vX_[511]) *
+ 0.207 +
+ vX_[1097] * x_in[23] + vX_[2150] * x_in[22] + vX_[8558] * x_in[20] + vX_[3365] * x_in[19] +
+ (vX_[2528] * vX_[776] + vX_[2357] * vX_[126] + vX_[1097] * x_in[19]) * 0.3735 +
+ (vX_[2534] * vX_[776] + vX_[1097] * x_in[18]) * -0.207 +
+ (vX_[2523] * vX_[4079] + vX_[2150] * x_in[20]) * -0.3735 + vX_[2594] * vX_[1986] + vX_[2570] * vX_[1983] -
+ vX_[9085] * vX_[75] + vX_[6694] * vX_[75] + vX_[2565] * 0.3735 + vX_[2565] * vX_[9] * 0.35 +
+ (0 - vX_[2582]) * 0.207 + vX_[7675] * 0.35 + vX_[7675] * vX_[75] * 0.08 + vX_[7675] * vX_[9] * 0.3735 +
+ vX_[9299] * vX_[75] * 0.3735 + (0 - vX_[9299] * vX_[9]) * 0.08 - vX_[494] * vX_[75] +
+ vX_[9298] * vX_[75] * 0.3735 + vX_[468] * vX_[9] * 0.08 + vX_[2815] * 0.35 + vX_[2815] * vX_[75] * 0.08 +
+ vX_[2815] * vX_[9] * 0.3735 + vX_[7726] * vX_[9] + vX_[7663] * vX_[75] + vX_[2585] * 0.08 +
+ vX_[2585] * vX_[75] * 0.35 + vX_[2576] * vX_[75] * 0.33 + vX_[7695] * vX_[9] * -0.33 + vX_[8082] * 0.08 +
+ vX_[8082] * vX_[75] * 0.35 + vX_[8083] * vX_[75] * 0.33 + vX_[8117] * vX_[9] * -0.33 + vX_[8144] * 0.08 +
+ vX_[8144] * vX_[75] * 0.35 + vX_[8124] * vX_[9] * 0.33 + vX_[8125] * vX_[75] * -0.33 +
+ vX_[1890] * vX_[9] * 0.35 + (vX_[3109] * vX_[75] + vX_[1889] * vX_[9]) * 0.33 +
+ (vX_[3291] * vX_[9] + vX_[7849] * vX_[75]) * -0.33 + vX_[7737] * 0.08 + vX_[7737] * vX_[75] * 0.35 +
+ vX_[8129] * vX_[75] * 0.33 + vX_[8132] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[618] = vX_[3721] - vX_[2947];
+ vX_[8122] = vX_[2940] + vX_[8122];
+ vX_[2389] = vX_[8367] + vX_[2389];
+ vX_[8367] = 0 - vX_[2389];
+ vX_[2940] = vX_[618] * vX_[1];
+ vX_[8371] = vX_[618] * vX_[126];
+ vX_[8321] = vX_[8363] + vX_[8321];
+ vX_[7491] = vX_[7509] + vX_[7491];
+ vX_[8324] = vX_[7506] + vX_[8324];
+ vX_[2949] = vX_[7517] + vX_[2949];
+ vX_[7517] = vX_[2949] * vX_[126] + vX_[8324] * vX_[1];
+ vX_[7506] = vX_[2949] * vX_[139] + vX_[8324] * vX_[126];
+ vX_[7500] = vX_[7525] + vX_[7500];
+ vX_[2946] = 0 - (vX_[2526] + vX_[2946]) + vX_[7500];
+ vX_[2526] = vX_[7510] - vX_[7513];
+ vX_[8333] = vX_[2944] + vX_[8333];
+ vX_[7492] = vX_[7483] + vX_[7492];
+ vX_[7483] = 0 - vX_[7492];
+ vX_[2944] = vX_[2526] * vX_[1];
+ vX_[7525] = vX_[2526] * vX_[126];
+ vX_[7509] = vX_[2989] * 0.881 + (0 - vX_[2991]) * -0.0004405 + vX_[2993] * 8.81e-05;
+ vX_[8363] = vX_[2987] * -0.881;
+ vX_[8376] = vX_[2991] * 0.1104774;
+ vX_[2357] = vX_[2995] * 8.81e-05;
+ vX_[8544] = vX_[8363] - vX_[8376] + vX_[2357];
+ vX_[3151] = vX_[7509] * vX_[4053] + vX_[8544] * vX_[4070];
+ vX_[495] = vX_[2979] * 3.146 + (0 - vX_[2986]) * 0.0825825;
+ vX_[8355] = vX_[2978] * -3.146;
+ vX_[8491] = vX_[2986] * 0.47422804;
+ vX_[2117] = vX_[8355] - vX_[8491];
+ vX_[917] = vX_[3151] + vX_[495] * vX_[4072] + vX_[2117] * vX_[4074];
+ vX_[8582] = vX_[2966] * 3.44 + vX_[2969] * 0.5824264;
+ vX_[2518] = 0 - vX_[8582];
+ vX_[8560] = vX_[2963] * 3.44 + (0 - vX_[2969]) * 0.1466472;
+ vX_[8572] = vX_[2963] * vX_[142] + vX_[2962] * vX_[125] + vX_[2966] * vX_[134] + vX_[2969] * vX_[515] +
+ vX_[2971] * vX_[566];
+ vX_[2799] = vX_[917] + vX_[2518] * vX_[4085] + vX_[8560] * vX_[4092] + vX_[8572] * x_in[33];
+ vX_[6614] = 0 - vX_[7509];
+ vX_[2357] = 0 - vX_[8363] + vX_[8376] - vX_[2357];
+ vX_[8376] = vX_[2976] * -0.0004405 + vX_[2987] * 8.81e-05 + vX_[2995] * -0.000227999999999999;
+ vX_[8363] = vX_[2976] * 0.1104774 + vX_[2989] * 8.81e-05 + (0 - vX_[2993]) * 0.025713;
+ vX_[8492] = (0 - vX_[2987]) * -0.0004405;
+ vX_[2517] = (0 - vX_[2989]) * 0.1104774;
+ vX_[8346] = vX_[8492] + vX_[2517];
+ vX_[8346] = vX_[6614] * vX_[1994] + vX_[2357] * vX_[4061] + vX_[8376] * vX_[4053] + vX_[8363] * vX_[4070] +
+ vX_[8346] * vX_[4071] + vX_[8346] * vX_[4071];
+ vX_[1258] = vX_[2976] * 0.881 + (0 - vX_[2993]) * 0.1104774 + vX_[2995] * -0.0004405;
+ vX_[1939] = vX_[2987] * -0.00185880198235362 + vX_[2989] * 0.880992588508842 + vX_[2993] * 8.81e-05;
+ vX_[6614] = vX_[6614] * vX_[4071] + vX_[1258] * vX_[4070] + vX_[1939] * x_in[35];
+ vX_[2519] = 0 - vX_[1258];
+ vX_[8356] = vX_[2987] * 0.414812462825713 + vX_[2989] * -0.00185880198235362 + vX_[2995] * -8.81e-05;
+ vX_[2357] = vX_[2357] * vX_[4071] + vX_[2519] * vX_[4053] - vX_[8356] * x_in[35];
+ vX_[8366] = 0 - vX_[495];
+ vX_[8491] = 0 - vX_[8355] + vX_[8491];
+ vX_[8355] = vX_[2974] * 0.0825825 + (0 - vX_[2986]) * -0.000102 + vX_[2975] * -0.007418 + vX_[2984] * 0.002735;
+ vX_[8493] = vX_[2974] * 0.47422804 + vX_[2986] * 2.1e-05 + (0 - vX_[2975]) * 0.084376 + (0 - vX_[2984]) * -0.007418;
+ vX_[2522] = (0 - vX_[2978]) * 0.0825825;
+ vX_[1261] = (0 - vX_[2979]) * 0.47422804;
+ vX_[8352] = vX_[2975] * -0.000102;
+ vX_[1242] = (0 - vX_[2984]) * 2.1e-05;
+ vX_[1158] = vX_[2522] + vX_[1261] + vX_[8352] + vX_[1242];
+ vX_[1158] = vX_[8346] + vX_[6614] * vX_[764] + vX_[2357] * vX_[54] + vX_[8366] * vX_[4066] + vX_[8491] * vX_[4091] +
+ vX_[8355] * vX_[4072] + vX_[8493] * vX_[4074] + vX_[1158] * vX_[4082] + vX_[1158] * vX_[4082];
+ vX_[1193] = vX_[2974] * 3.146 + (0 - vX_[2975]) * 0.47422804 + vX_[2984] * 0.0825825;
+ vX_[2594] = vX_[2978] * vX_[102] + vX_[2979] * vX_[101] + vX_[2975] * vX_[80] + vX_[2984] * vX_[74];
+ vX_[8366] =
+ vX_[6614] * vX_[7] + vX_[2357] * vX_[51] + vX_[8366] * vX_[4082] + vX_[1193] * vX_[4074] + vX_[2594] * x_in[34];
+ vX_[2586] = 0 - vX_[1193];
+ vX_[2570] = vX_[2978] * vX_[100] + vX_[2979] * vX_[102] + vX_[2975] * vX_[86] + vX_[2984] * vX_[85];
+ vX_[8491] = vX_[6614] * vX_[756] + vX_[2357] * vX_[7] + vX_[8491] * vX_[4082] + vX_[2586] * vX_[4072] -
+ vX_[2570] * x_in[34];
+ vX_[2550] = 0 - vX_[8560];
+ vX_[7740] = vX_[2962] * 0.5824264 + (0 - vX_[2973]) * -0.022734 + vX_[2969] * -3.6e-05 + vX_[2971] * -0.133138;
+ vX_[7744] = vX_[2962] * 0.1466472 + vX_[2973] * 0.009466 + (0 - vX_[2969]) * -5.1e-05 + vX_[2971] * -0.022734;
+ vX_[8143] = (0 - vX_[2963]) * 0.5824264;
+ vX_[8131] = (0 - vX_[2966]) * 0.1466472;
+ vX_[8142] = (0 - vX_[2973]) * -3.6e-05;
+ vX_[1831] = (0 - vX_[2971]) * -5.1e-05;
+ vX_[8105] = vX_[8143] + vX_[8131] + vX_[8142] - vX_[1831];
+ vX_[7775] = vX_[2963] * vX_[158] + vX_[2962] * vX_[514] + vX_[2966] * vX_[566] + vX_[2969] * vX_[565] +
+ vX_[2971] * vX_[122];
+ vX_[8105] = vX_[1158] + vX_[8366] * vX_[752] + vX_[8491] * vX_[93] + vX_[8582] * vX_[4095] + vX_[2550] * vX_[3880] +
+ vX_[7740] * vX_[4085] + vX_[7744] * vX_[4092] + vX_[8105] * vX_[4104] + vX_[8105] * vX_[4104] +
+ vX_[7775] * x_in[33];
+ vX_[8320] = vX_[8505] - vX_[7513];
+ vX_[7763] = vX_[8320] * vX_[126] + vX_[8333] * vX_[1];
+ vX_[8181] = vX_[8320] * vX_[139] + vX_[8333] * vX_[126];
+ vX_[441] = vX_[8181] + vX_[2944];
+ vX_[8110] = vX_[7763] * vX_[139] + vX_[441] * vX_[126] + vX_[7525] * vX_[1];
+ vX_[1841] = 0 - vX_[8110];
+ vX_[7766] = vX_[7513] + vX_[7763] * vX_[126] + vX_[2944] * vX_[1];
+ vX_[8104] = 0 - vX_[7766];
+ vX_[8133] = vX_[7513] + vX_[8181] * vX_[139] + vX_[7525] * vX_[126];
+ vX_[2945] = vX_[7489] + vX_[2945] - vX_[7491];
+ vX_[7489] = vX_[7500] * vX_[126] + vX_[7491] * vX_[1];
+ vX_[7577] = 0 - (vX_[2945] * vX_[139] + vX_[2946] * vX_[126]) + vX_[7489];
+ vX_[8116] = vX_[7577] + vX_[7766] * vX_[127];
+ vX_[1760] = 0 - vX_[8116];
+ vX_[447] = vX_[7500] * vX_[139] + vX_[7491] * vX_[126];
+ vX_[8128] = vX_[2945] * vX_[126] + vX_[2946] * vX_[1] + vX_[447];
+ vX_[8113] = 0 - vX_[8133];
+ vX_[8115] = vX_[8128] + vX_[8110] * vX_[127] + vX_[8113] * vX_[27];
+ vX_[8329] = vX_[8358] + vX_[8329];
+ vX_[8358] = vX_[8321] * vX_[126] + vX_[8329] * vX_[139];
+ vX_[8127] = vX_[8358] * vX_[126] + vX_[7506] * vX_[1];
+ vX_[7527] = vX_[2954] + vX_[7527];
+ vX_[7492] = 0 - vX_[7492];
+ vX_[2954] = vX_[7527] * vX_[139] + vX_[7492] * vX_[126];
+ vX_[8111] = 0 - vX_[2954];
+ vX_[8140] = vX_[8127] + vX_[8111] * vX_[27] + vX_[8104] * vX_[141];
+ vX_[8139] = 0 - vX_[8140];
+ vX_[8108] = vX_[8321] * vX_[1] + vX_[8329] * vX_[126];
+ vX_[1791] = vX_[8108] * vX_[139] + vX_[7517] * vX_[126];
+ vX_[8163] = vX_[7527] * vX_[126] + vX_[7483] * vX_[1];
+ vX_[7792] = 0 - vX_[8163];
+ vX_[8097] = vX_[1791] + vX_[7792] * vX_[127] + vX_[8133] * vX_[141];
+ vX_[8102] = vX_[8108] * vX_[126] + vX_[7517] * vX_[1];
+ vX_[8096] = vX_[8102] + vX_[2954] * vX_[127];
+ vX_[8095] = vX_[8358] * vX_[139] + vX_[7506] * vX_[126];
+ vX_[8092] = vX_[8095] + vX_[8163] * vX_[27] + vX_[1841] * vX_[141];
+ vX_[8099] = 0 - vX_[8096] + vX_[8092];
+ vX_[8098] = 0 - vX_[8110];
+ vX_[7543] = 0 - vX_[7766];
+ vX_[8104] = vX_[1841] * vX_[569] + vX_[8104] * vX_[517] + vX_[8133] * vX_[105] + vX_[1760] * vX_[142] +
+ vX_[8115] * vX_[153] + vX_[8139] * vX_[134] + vX_[8097] * vX_[128] + vX_[8099] * vX_[125] +
+ vX_[8098] * vX_[566] + vX_[8110] * vX_[563] + vX_[7543] * vX_[516] + vX_[8133] * vX_[520];
+ vX_[1841] = vX_[2962] * -3.44;
+ vX_[8194] = vX_[2973] * 0.1466472;
+ vX_[7536] = vX_[2971] * 0.5824264;
+ vX_[1910] = 0 - vX_[1841] + vX_[8194] - vX_[7536];
+ vX_[6691] = vX_[2963] * vX_[153] + vX_[2962] * vX_[128] + vX_[2966] * vX_[125] + vX_[2969] * vX_[563] +
+ vX_[2971] * vX_[514];
+ vX_[2550] = vX_[8366] * vX_[751] + vX_[8491] * vX_[75] + vX_[1910] * vX_[4085] + vX_[2550] * vX_[4104] -
+ vX_[6691] * x_in[33];
+ vX_[7513] = vX_[8505] + vX_[7510] + vX_[7513] - vX_[7766] - vX_[8133];
+ vX_[7510] = 0 - vX_[7513];
+ vX_[7489] = vX_[7489] + vX_[7510] * vX_[127];
+ vX_[447] = vX_[447] + vX_[7513] * vX_[27];
+ vX_[8505] = 0 - vX_[8115];
+ vX_[6690] = 0 - vX_[8097];
+ vX_[7481] = vX_[7475] + vX_[7481] + vX_[8329] + vX_[8324] - vX_[8102] - vX_[8095];
+ vX_[8092] = vX_[7481] - vX_[8092];
+ vX_[7475] = 0 - vX_[2954];
+ vX_[7682] = 0 - vX_[8110];
+ vX_[7684] = 0 - vX_[8133];
+ vX_[8619] = vX_[8325] - vX_[2947];
+ vX_[8373] = vX_[2525] + vX_[8373];
+ vX_[2525] = vX_[8619] * vX_[126] + vX_[8122] * vX_[1];
+ vX_[7553] = vX_[8619] * vX_[139] + vX_[8122] * vX_[126];
+ vX_[2991] = vX_[2987] * 0.1104774 + vX_[2989] * -0.0004405 + vX_[2991] * 0.025941;
+ vX_[1864] = (0 - vX_[2976]) * 8.81e-05;
+ vX_[2517] = vX_[1864] + vX_[2517];
+ vX_[2995] = vX_[2976] * -0.0004405 + vX_[2987] * -8.81e-05 + vX_[2995] * 0.000468;
+ vX_[2517] = vX_[7509] * vX_[4062] + vX_[2519] * vX_[4061] + vX_[8376] * vX_[4071] + vX_[2991] * vX_[4070] +
+ vX_[2517] * vX_[4053] + vX_[2517] * vX_[4053] + vX_[2995] * x_in[35];
+ vX_[1864] = vX_[1864] + vX_[8492];
+ vX_[2993] = vX_[2976] * -0.1104774 + vX_[2989] * 8.81e-05 + vX_[2993] * 0.026409;
+ vX_[1864] = vX_[8544] * vX_[4062] + vX_[1258] * vX_[1994] + vX_[8363] * vX_[4071] + vX_[2991] * vX_[4053] +
+ vX_[1864] * vX_[4070] + vX_[1864] * vX_[4070] - vX_[2993] * x_in[35];
+ vX_[2991] = vX_[2978] * 0.47422804 + vX_[2979] * 0.0825825 + vX_[2986] * 0.081641 + (0 - vX_[2975]) * 2.1e-05 +
+ vX_[2984] * -0.000102;
+ vX_[1258] = (0 - vX_[2986]) * -0.007418;
+ vX_[1242] = vX_[1261] + vX_[1258] - vX_[1242];
+ vX_[1261] =
+ vX_[2974] * vX_[69] + vX_[2978] * vX_[85] + vX_[2979] * vX_[74] + vX_[2975] * vX_[117] + vX_[2984] * vX_[113];
+ vX_[1242] = vX_[3151] * -0.35 + vX_[2517] * vX_[7] + vX_[1864] * vX_[51] + vX_[495] * vX_[4064] +
+ vX_[2586] * vX_[4091] + vX_[8355] * vX_[4082] + vX_[2991] * vX_[4074] + vX_[1242] * vX_[4072] +
+ vX_[1242] * vX_[4072] + vX_[1261] * x_in[34];
+ vX_[1258] = vX_[2522] - vX_[1258] - vX_[8352];
+ vX_[8352] =
+ vX_[2974] * vX_[82] + vX_[2978] * vX_[86] + vX_[2979] * vX_[80] + vX_[2975] * vX_[111] + vX_[2984] * vX_[117];
+ vX_[1258] = vX_[2517] * vX_[52] + vX_[1864] * vX_[7] + vX_[2117] * vX_[4064] + vX_[1193] * vX_[4066] +
+ vX_[8493] * vX_[4082] + vX_[2991] * vX_[4072] + vX_[1258] * vX_[4074] + vX_[1258] * vX_[4074] -
+ vX_[8352] * x_in[34];
+ vX_[7536] = vX_[1841] - vX_[8194] + vX_[7536];
+ vX_[8194] = vX_[2963] * 0.1466472 + vX_[2966] * 0.5824264 + vX_[2973] * -5.1e-05 + (0 - vX_[2969]) * -0.123672 +
+ (0 - vX_[2971]) * -3.6e-05;
+ vX_[1841] = vX_[2969] * -0.022734;
+ vX_[8142] = vX_[8143] - vX_[8142] - vX_[1841];
+ vX_[8143] =
+ vX_[2963] * vX_[96] + vX_[2962] * vX_[563] + vX_[2966] * vX_[515] + vX_[2969] * vX_[513] + vX_[2971] * vX_[565];
+ vX_[8142] = vX_[1242] * vX_[4] + vX_[1258] * vX_[75] + vX_[7536] * vX_[4095] + vX_[8560] * vX_[4096] +
+ vX_[8194] * vX_[4085] + vX_[7744] * vX_[4104] + vX_[8142] * vX_[4092] + vX_[8142] * vX_[4092] -
+ vX_[8143] * x_in[33];
+ vX_[3022] = vX_[3022] * vX_[1986];
+ vX_[3023] = vX_[3023] * vX_[1986];
+ vX_[7744] = vX_[3022] * vX_[7] + vX_[3023] * vX_[51];
+ vX_[3024] = vX_[3024] * vX_[1986];
+ vX_[2994] = vX_[2994] * vX_[1975];
+ vX_[8560] = vX_[2994] * vX_[7];
+ vX_[2991] = vX_[2994] * vX_[51];
+ vX_[3010] = vX_[3010] * vX_[1993];
+ vX_[1193] = vX_[3010] * vX_[51];
+ vX_[2996] = vX_[2996] * vX_[1975];
+ vX_[8493] = vX_[2996] * vX_[7];
+ vX_[2117] = 0 - vX_[8493];
+ vX_[2522] = vX_[2996] * vX_[51];
+ vX_[2586] = 0 - vX_[2991];
+ vX_[8355] = 0 - vX_[3010];
+ vX_[495] = vX_[8355] * vX_[7];
+ vX_[3011] = vX_[3011] * vX_[1993];
+ vX_[3151] = 0 - vX_[3011];
+ vX_[8363] = vX_[3151] * vX_[51];
+ vX_[8544] = vX_[3011] * vX_[7];
+ vX_[2998] = vX_[2998] * vX_[1983];
+ vX_[2989] = vX_[3022] + vX_[2998];
+ vX_[2999] = vX_[2999] * vX_[1983];
+ vX_[2976] = 0 - vX_[3023] - vX_[2999];
+ vX_[8492] = vX_[2989] * vX_[51] + vX_[2976] * vX_[7];
+ vX_[2519] = vX_[2998] * vX_[7] + vX_[2999] * vX_[51];
+ vX_[3016] = vX_[3016] * vX_[1993] + vX_[3004] * vX_[1975];
+ vX_[3004] = 0 - vX_[3016];
+ vX_[8376] = 0 - vX_[3016];
+ vX_[7509] = vX_[8376] * vX_[7];
+ vX_[2987] = vX_[3016] * vX_[51];
+ vX_[7669] = vX_[3017] * vX_[893] + vX_[3249] * vX_[845] + vX_[3258] * vX_[877];
+ vX_[9148] = 0 - vX_[7669];
+ vX_[7546] = vX_[3017] * vX_[985] + vX_[3249] * vX_[878] + vX_[3258] * vX_[839];
+ vX_[8365] = vX_[9148] * x_in[18] + vX_[7546] * x_in[19];
+ vX_[2497] = 0 - vX_[8365];
+ vX_[7672] = 0 - vX_[8365];
+ vX_[2444] = vX_[7672] * vX_[7];
+ vX_[2299] = vX_[8365] * vX_[51];
+ vX_[3017] = vX_[3017] * vX_[875] + vX_[3249] * vX_[894] + vX_[3258] * vX_[986];
+ jac[1245] = vX_[2570] * vX_[3967] + vX_[2594] * vX_[4066] + vX_[8352] * vX_[3980] + vX_[1261] * vX_[4072] +
+ vX_[1158] + vX_[3017] * vX_[899] + vX_[7669] * vX_[851] + vX_[7546] * vX_[884];
+ jac[1281] = vX_[8356] * vX_[1988] + vX_[1939] * vX_[1994] + vX_[2993] * vX_[988] + vX_[2995] * vX_[4053] +
+ vX_[8346] + vX_[3017] * vX_[908] + vX_[7669] * vX_[862] + vX_[7546] * vX_[881];
+ vX_[2993] = vX_[3017] * x_in[35];
+ vX_[2995] = vX_[2993] * vX_[7];
+ vX_[8356] = vX_[2993] * vX_[51];
+ vX_[1939] = vX_[3017] * x_in[34];
+ vX_[8346] = vX_[1939] * vX_[51];
+ vX_[8352] = vX_[7669] * x_in[33];
+ vX_[1261] = vX_[1939] * vX_[7];
+ vX_[2570] = vX_[8352] * vX_[7];
+ vX_[2594] = vX_[8352] * vX_[51];
+ vX_[1158] = vX_[3028] * vX_[940];
+ vX_[3258] = 0 - vX_[1158];
+ vX_[3249] = 0 - vX_[1158];
+ vX_[7550] = vX_[3249] * vX_[7];
+ vX_[7541] = vX_[1158] * vX_[51];
+ vX_[2389] = 0 - vX_[2389];
+ vX_[9036] = vX_[7553] + vX_[2940];
+ vX_[7805] = 0 - vX_[7489];
+ vX_[341] = 0 - vX_[447];
+ vX_[7481] = 0 - vX_[7481] + vX_[8096];
+ vX_[8096] = 0 - vX_[8163];
+ vX_[2988] = vX_[2988] * vX_[1975];
+ vX_[7552] = vX_[2988] * vX_[51];
+ vX_[2990] = vX_[2990] * vX_[1975];
+ vX_[8611] = vX_[2990] * vX_[7];
+ vX_[2992] = vX_[2992] * vX_[1975];
+ vX_[3009] = vX_[3009] * vX_[1993];
+ vX_[3025] = vX_[3025] * vX_[1986];
+ vX_[1828] = vX_[3025] * vX_[7];
+ vX_[2300] = vX_[3025] * vX_[51];
+ vX_[3014] = vX_[3014] * vX_[810];
+ vX_[1066] = vX_[3014] * vX_[51];
+ vX_[3026] = vX_[3026] * vX_[1986];
+ vX_[7548] = vX_[3026] * vX_[7];
+ vX_[9144] = 0 - vX_[7548];
+ vX_[9292] = vX_[3026] * vX_[51];
+ vX_[7664] = 0 - vX_[2988] - vX_[3014];
+ vX_[3015] = vX_[3015] * vX_[810];
+ vX_[1844] = 0 - vX_[2990] - vX_[3015];
+ vX_[6777] = vX_[7664] * vX_[7] + vX_[1844] * vX_[51];
+ vX_[7698] = vX_[3015] * vX_[7];
+ vX_[3012] = vX_[3012] * vX_[1993] + vX_[3003] * vX_[1986];
+ vX_[3003] = vX_[3012] * vX_[7];
+ vX_[7725] = vX_[3012] * vX_[51];
+ vX_[7700] = 0 - vX_[7546];
+ vX_[7699] = vX_[3017] * x_in[18] + vX_[7700] * x_in[20];
+ vX_[7705] = vX_[7699] * vX_[7];
+ vX_[7706] = vX_[7699] * vX_[51];
+ vX_[9288] = vX_[3017] * x_in[33];
+ vX_[8701] = vX_[7669] * x_in[35];
+ vX_[9286] = 0 - vX_[8701];
+ vX_[8193] = vX_[9286] * vX_[7];
+ vX_[9276] = vX_[8701] * vX_[51];
+ vX_[8679] = vX_[7669] * x_in[34];
+ vX_[8681] = 0 - vX_[8679];
+ vX_[9180] = vX_[9288] * vX_[7];
+ vX_[7710] = 0 - vX_[8679];
+ vX_[7713] = vX_[7710] * vX_[7];
+ vX_[8625] = vX_[9288] * vX_[51];
+ vX_[2088] = vX_[8679] * vX_[51];
+ vX_[7724] = vX_[3028] * vX_[929];
+ vX_[7712] = vX_[7724] * vX_[7];
+ vX_[7723] = vX_[7724] * vX_[51];
+ jac[561] =
+ 0 -
+ (vX_[2943] * vX_[776] + vX_[2955] * vX_[957] + vX_[618] * vX_[699] + vX_[8122] * vX_[701] +
+ vX_[8367] * vX_[142] + vX_[2940] * vX_[389] + vX_[8371] * vX_[125] + vX_[8321] * vX_[674] +
+ vX_[7491] * vX_[150] + vX_[8324] * vX_[643] + vX_[7517] * vX_[642] + vX_[7506] * vX_[639] +
+ vX_[2946] * vX_[159] + vX_[2526] * vX_[573] + vX_[8333] * vX_[575] + vX_[7483] * vX_[623] +
+ vX_[2944] * vX_[519] + vX_[7525] * vX_[570] + vX_[2799] * x_in[22] + vX_[8105] * x_in[19] +
+ (vX_[2950] * vX_[776] + vX_[8104] * vX_[139] + vX_[2799] * x_in[20]) * -0.3735 -
+ (vX_[2941] * vX_[4079] + vX_[2550] * x_in[23]) + (vX_[2955] * vX_[4079] + vX_[2550] * x_in[19]) * -0.3735 +
+ (vX_[2961] * vX_[4079] + vX_[8111] * vX_[517] + vX_[8163] * vX_[569] + vX_[7513] * vX_[152] +
+ vX_[8113] * vX_[154] + vX_[7489] * vX_[125] + vX_[447] * vX_[134] + vX_[8505] * vX_[137] +
+ vX_[6690] * vX_[153] + vX_[8092] * vX_[142] + vX_[7475] * vX_[515] + vX_[8163] * vX_[566] +
+ vX_[7682] * vX_[96] + vX_[7684] * vX_[522] + vX_[2550] * x_in[18]) *
+ 0.207 -
+ (vX_[2950] * vX_[951] + vX_[8619] * vX_[698] + vX_[8373] * vX_[684] + vX_[2525] * vX_[125] +
+ vX_[7553] * vX_[271] + vX_[2949] * vX_[640] + vX_[7500] * vX_[160] + vX_[8329] * vX_[675] +
+ vX_[8108] * vX_[641] + vX_[8358] * vX_[568] + vX_[2945] * vX_[149] + vX_[8320] * vX_[572] +
+ vX_[7527] * vX_[622] + vX_[7763] * vX_[570] + vX_[8181] * vX_[523] + vX_[8104] * vX_[140] +
+ vX_[8142] * x_in[20]) +
+ vX_[2977] * vX_[1975] + vX_[3013] * vX_[810] + vX_[7744] * vX_[9] + (0 - vX_[3024]) * 0.3735 +
+ vX_[3024] * vX_[9] * -0.35 + vX_[8560] * 0.35 + vX_[8560] * vX_[75] * 0.08 + vX_[8560] * vX_[9] * 0.3735 +
+ vX_[2991] * vX_[75] * 0.3735 + vX_[1193] * vX_[75] * -0.207 + vX_[2117] * vX_[75] * 0.3735 +
+ vX_[2522] * 0.35 + (vX_[2586] * vX_[9] + vX_[2522] * vX_[75]) * 0.08 + vX_[2522] * vX_[9] * 0.3735 +
+ (vX_[495] * vX_[9] + vX_[8363] * vX_[9]) * 0.207 + vX_[8544] * vX_[75] * 0.207 + vX_[8492] * vX_[75] +
+ vX_[2519] * vX_[9] + (vX_[8493] * vX_[9] - vX_[3016]) * 0.08 + vX_[3004] * vX_[75] * 0.35 +
+ vX_[7509] * vX_[75] * 0.33 + vX_[2987] * vX_[9] * 0.33 + (0 - vX_[8365]) * 0.08 +
+ vX_[2497] * vX_[75] * 0.35 + vX_[2444] * vX_[75] * 0.33 + vX_[2299] * vX_[9] * 0.33 +
+ vX_[2995] * vX_[9] * 0.33 + vX_[8356] * vX_[75] * 0.33 + vX_[1939] * vX_[9] * 0.35 +
+ vX_[8346] * vX_[75] * 0.33 + vX_[8352] * 0.08 + vX_[8352] * vX_[75] * 0.35 +
+ (vX_[1261] * vX_[9] + vX_[2570] * vX_[75]) * 0.33 + vX_[2594] * vX_[9] * -0.33 + (0 - vX_[1158]) * 0.08 +
+ vX_[3258] * vX_[75] * 0.35 + vX_[7550] * vX_[75] * 0.33 + vX_[7541] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[2941] * vX_[776] + vX_[2943] * vX_[4079] + vX_[2950] * vX_[957] + vX_[2955] * vX_[951] +
+ vX_[8619] * vX_[701] + vX_[618] * vX_[697] + vX_[8122] * vX_[698] + vX_[8373] * vX_[142] +
+ vX_[2389] * vX_[684] + vX_[2525] * vX_[389] + vX_[9036] * vX_[125] + vX_[8371] * vX_[271] +
+ vX_[8321] * vX_[675] + vX_[2949] * vX_[643] + vX_[7500] * vX_[150] + vX_[7491] * vX_[160] +
+ vX_[8329] * vX_[674] + vX_[8324] * vX_[640] + vX_[8108] * vX_[642] + vX_[8358] * vX_[639] +
+ vX_[7517] * vX_[641] + vX_[7506] * vX_[568] + vX_[2945] * vX_[159] + vX_[2946] * vX_[149] +
+ vX_[8320] * vX_[575] + vX_[2526] * vX_[571] + vX_[8333] * vX_[572] + vX_[7527] * vX_[623] +
+ vX_[7492] * vX_[622] + vX_[7763] * vX_[519] + vX_[441] * vX_[570] + vX_[7525] * vX_[523] +
+ vX_[8104] * vX_[138] +
+ (vX_[2954] * vX_[567] + vX_[7792] * vX_[105] + vX_[8110] * vX_[154] + vX_[7510] * vX_[129] +
+ vX_[7766] * vX_[143] + vX_[7805] * vX_[128] + vX_[8116] * vX_[137] + vX_[341] * vX_[125] +
+ vX_[8140] * vX_[142] + vX_[7481] * vX_[153] + vX_[2954] * vX_[563] + vX_[8096] * vX_[514] +
+ vX_[8110] * vX_[158] + vX_[7766] * vX_[511]) *
+ 0.207 +
+ vX_[2799] * x_in[23] + vX_[2550] * x_in[22] + vX_[8105] * x_in[20] + vX_[8142] * x_in[19] +
+ (vX_[2955] * vX_[776] + vX_[8104] * vX_[126] + vX_[2799] * x_in[19]) * 0.3735 +
+ (vX_[2961] * vX_[776] + vX_[2799] * x_in[18]) * -0.207 +
+ (vX_[2950] * vX_[4079] + vX_[2550] * x_in[20]) * -0.3735 + vX_[3021] * vX_[1986] + vX_[2997] * vX_[1983] -
+ vX_[7552] * vX_[75] + vX_[8611] * vX_[75] + vX_[2992] * 0.3735 + vX_[2992] * vX_[9] * 0.35 +
+ (0 - vX_[3009]) * 0.207 + vX_[1828] * 0.35 + vX_[1828] * vX_[75] * 0.08 + vX_[1828] * vX_[9] * 0.3735 +
+ vX_[2300] * vX_[75] * 0.3735 + (0 - vX_[2300] * vX_[9]) * 0.08 - vX_[1066] * vX_[75] +
+ vX_[9144] * vX_[75] * 0.3735 + vX_[7548] * vX_[9] * 0.08 + vX_[9292] * 0.35 + vX_[9292] * vX_[75] * 0.08 +
+ vX_[9292] * vX_[9] * 0.3735 + vX_[6777] * vX_[9] + vX_[7698] * vX_[75] + vX_[3012] * 0.08 +
+ vX_[3012] * vX_[75] * 0.35 + vX_[3003] * vX_[75] * 0.33 + vX_[7725] * vX_[9] * -0.33 + vX_[7699] * 0.08 +
+ vX_[7699] * vX_[75] * 0.35 + vX_[7705] * vX_[75] * 0.33 + vX_[7706] * vX_[9] * -0.33 + vX_[9288] * 0.08 +
+ vX_[9288] * vX_[75] * 0.35 + vX_[8193] * vX_[9] * 0.33 + vX_[9276] * vX_[75] * -0.33 +
+ vX_[8681] * vX_[9] * 0.35 + (vX_[9180] * vX_[75] + vX_[7713] * vX_[9]) * 0.33 +
+ (vX_[8625] * vX_[9] + vX_[2088] * vX_[75]) * -0.33 + vX_[7724] * 0.08 + vX_[7724] * vX_[75] * 0.35 +
+ vX_[7712] * vX_[75] * 0.33 + vX_[7723] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[8619] = vX_[2951] - vX_[3353];
+ vX_[7451] = vX_[7464] + vX_[7451];
+ vX_[7512] = vX_[2942] + vX_[7512];
+ vX_[2942] = 0 - vX_[7512];
+ vX_[7464] = vX_[8619] * vX_[1];
+ vX_[7510] = vX_[8619] * vX_[126];
+ vX_[7504] = vX_[2953] + vX_[7504];
+ vX_[6430] = vX_[6643] + vX_[6430];
+ vX_[7468] = vX_[6635] + vX_[7468];
+ vX_[3355] = vX_[6667] + vX_[3355];
+ vX_[6667] = vX_[3355] * vX_[126] + vX_[7468] * vX_[1];
+ vX_[6635] = vX_[3355] * vX_[139] + vX_[7468] * vX_[126];
+ vX_[6632] = vX_[6660] + vX_[6632];
+ vX_[3352] = 0 - (vX_[7531] + vX_[3352]) + vX_[6632];
+ vX_[7531] = vX_[6645] - vX_[6654];
+ vX_[7467] = vX_[3350] + vX_[7467];
+ vX_[6633] = vX_[6618] + vX_[6633];
+ vX_[6618] = 0 - vX_[6633];
+ vX_[3350] = vX_[7531] * vX_[1];
+ vX_[6660] = vX_[7531] * vX_[126];
+ vX_[6643] = vX_[3395] * 0.881 + (0 - vX_[3397]) * -0.0004405 + vX_[3399] * 8.81e-05;
+ vX_[2953] = vX_[3393] * -0.881;
+ vX_[7513] = vX_[3397] * 0.1104774;
+ vX_[8104] = vX_[3401] * 8.81e-05;
+ vX_[7792] = vX_[2953] - vX_[7513] + vX_[8104];
+ vX_[8108] = vX_[6643] * vX_[4053] + vX_[7792] * vX_[4070];
+ vX_[8111] = vX_[3385] * 3.146 + (0 - vX_[3392]) * 0.0825825;
+ vX_[7492] = vX_[3384] * -3.146;
+ vX_[7527] = vX_[3392] * 0.47422804;
+ vX_[8358] = vX_[7492] - vX_[7527];
+ vX_[8329] = vX_[8108] + vX_[8111] * vX_[4072] + vX_[8358] * vX_[4074];
+ vX_[8113] = vX_[3372] * 3.44 + vX_[3375] * 0.5824264;
+ vX_[2945] = 0 - vX_[8113];
+ vX_[441] = vX_[3369] * 3.44 + (0 - vX_[3375]) * 0.1466472;
+ vX_[8181] = vX_[3369] * vX_[142] + vX_[3368] * vX_[125] + vX_[3372] * vX_[134] + vX_[3375] * vX_[515] +
+ vX_[3377] * vX_[566];
+ vX_[7763] = vX_[8329] + vX_[2945] * vX_[4085] + vX_[441] * vX_[4092] + vX_[8181] * x_in[33];
+ vX_[8320] = 0 - vX_[6643];
+ vX_[8104] = 0 - vX_[2953] + vX_[7513] - vX_[8104];
+ vX_[7513] = vX_[3382] * -0.0004405 + vX_[3393] * 8.81e-05 + vX_[3401] * -0.000227999999999999;
+ vX_[2953] = vX_[3382] * 0.1104774 + vX_[3395] * 8.81e-05 + (0 - vX_[3399]) * 0.025713;
+ vX_[7525] = (0 - vX_[3393]) * -0.0004405;
+ vX_[2944] = (0 - vX_[3395]) * 0.1104774;
+ vX_[7483] = vX_[7525] + vX_[2944];
+ vX_[7483] = vX_[8320] * vX_[1994] + vX_[8104] * vX_[4061] + vX_[7513] * vX_[4053] + vX_[2953] * vX_[4070] +
+ vX_[7483] * vX_[4071] + vX_[7483] * vX_[4071];
+ vX_[8333] = vX_[3382] * 0.881 + (0 - vX_[3399]) * 0.1104774 + vX_[3401] * -0.0004405;
+ vX_[2526] = vX_[3393] * -0.00185880198235362 + vX_[3395] * 0.880992588508842 + vX_[3399] * 8.81e-05;
+ vX_[8320] = vX_[8320] * vX_[4071] + vX_[8333] * vX_[4070] + vX_[2526] * x_in[35];
+ vX_[2946] = 0 - vX_[8333];
+ vX_[7500] = vX_[3393] * 0.414812462825713 + vX_[3395] * -0.00185880198235362 + vX_[3401] * -8.81e-05;
+ vX_[8104] = vX_[8104] * vX_[4071] + vX_[2946] * vX_[4053] - vX_[7500] * x_in[35];
+ vX_[7506] = 0 - vX_[8111];
+ vX_[7527] = 0 - vX_[7492] + vX_[7527];
+ vX_[7492] = vX_[3380] * 0.0825825 + (0 - vX_[3392]) * -0.000102 + vX_[3381] * -0.007418 + vX_[3390] * 0.002735;
+ vX_[7517] = vX_[3380] * 0.47422804 + vX_[3392] * 2.1e-05 + (0 - vX_[3381]) * 0.084376 + (0 - vX_[3390]) * -0.007418;
+ vX_[2949] = (0 - vX_[3384]) * 0.0825825;
+ vX_[8324] = (0 - vX_[3385]) * 0.47422804;
+ vX_[7491] = vX_[3381] * -0.000102;
+ vX_[8321] = (0 - vX_[3390]) * 2.1e-05;
+ vX_[8122] = vX_[2949] + vX_[8324] + vX_[7491] + vX_[8321];
+ vX_[8122] = vX_[7483] + vX_[8320] * vX_[764] + vX_[8104] * vX_[54] + vX_[7506] * vX_[4066] + vX_[7527] * vX_[4091] +
+ vX_[7492] * vX_[4072] + vX_[7517] * vX_[4074] + vX_[8122] * vX_[4082] + vX_[8122] * vX_[4082];
+ vX_[618] = vX_[3380] * 3.146 + (0 - vX_[3381]) * 0.47422804 + vX_[3390] * 0.0825825;
+ vX_[3021] = vX_[3384] * vX_[102] + vX_[3385] * vX_[101] + vX_[3381] * vX_[80] + vX_[3390] * vX_[74];
+ vX_[7506] =
+ vX_[8320] * vX_[7] + vX_[8104] * vX_[51] + vX_[7506] * vX_[4082] + vX_[618] * vX_[4074] + vX_[3021] * x_in[34];
+ vX_[3013] = 0 - vX_[618];
+ vX_[2997] = vX_[3384] * vX_[100] + vX_[3385] * vX_[102] + vX_[3381] * vX_[86] + vX_[3390] * vX_[85];
+ vX_[7527] = vX_[8320] * vX_[756] + vX_[8104] * vX_[7] + vX_[7527] * vX_[4082] + vX_[3013] * vX_[4072] -
+ vX_[2997] * x_in[34];
+ vX_[2977] = 0 - vX_[441];
+ vX_[9200] = vX_[3368] * 0.5824264 + (0 - vX_[3379]) * -0.022734 + vX_[3375] * -3.6e-05 + vX_[3377] * -0.133138;
+ vX_[7686] = vX_[3368] * 0.1466472 + vX_[3379] * 0.009466 + (0 - vX_[3375]) * -5.1e-05 + vX_[3377] * -0.022734;
+ vX_[8585] = (0 - vX_[3369]) * 0.5824264;
+ vX_[7901] = (0 - vX_[3372]) * 0.1466472;
+ vX_[8623] = (0 - vX_[3379]) * -3.6e-05;
+ vX_[9175] = (0 - vX_[3377]) * -5.1e-05;
+ vX_[7583] = vX_[8585] + vX_[7901] + vX_[8623] - vX_[9175];
+ vX_[7691] = vX_[3369] * vX_[158] + vX_[3368] * vX_[514] + vX_[3372] * vX_[566] + vX_[3375] * vX_[565] +
+ vX_[3377] * vX_[122];
+ vX_[7583] = vX_[8122] + vX_[7506] * vX_[752] + vX_[7527] * vX_[93] + vX_[8113] * vX_[4095] + vX_[2977] * vX_[3880] +
+ vX_[9200] * vX_[4085] + vX_[7686] * vX_[4092] + vX_[7583] * vX_[4104] + vX_[7583] * vX_[4104] +
+ vX_[7691] * x_in[33];
+ vX_[1467] = vX_[3240] - vX_[6654];
+ vX_[8610] = vX_[1467] * vX_[126] + vX_[7467] * vX_[1];
+ vX_[7685] = vX_[1467] * vX_[139] + vX_[7467] * vX_[126];
+ vX_[7714] = vX_[7685] + vX_[3350];
+ vX_[1523] = vX_[8610] * vX_[139] + vX_[7714] * vX_[126] + vX_[6660] * vX_[1];
+ vX_[7697] = 0 - vX_[1523];
+ vX_[8664] = vX_[6654] + vX_[8610] * vX_[126] + vX_[3350] * vX_[1];
+ vX_[9138] = 0 - vX_[8664];
+ vX_[7709] = vX_[6654] + vX_[7685] * vX_[139] + vX_[6660] * vX_[126];
+ vX_[3351] = vX_[6624] + vX_[3351] - vX_[6430];
+ vX_[6624] = vX_[6632] * vX_[126] + vX_[6430] * vX_[1];
+ vX_[7694] = 0 - (vX_[3351] * vX_[139] + vX_[3352] * vX_[126]) + vX_[6624];
+ vX_[7696] = vX_[7694] + vX_[8664] * vX_[127];
+ vX_[7708] = 0 - vX_[7696];
+ vX_[7692] = vX_[6632] * vX_[139] + vX_[6430] * vX_[126];
+ vX_[7721] = vX_[3351] * vX_[126] + vX_[3352] * vX_[1] + vX_[7692];
+ vX_[7720] = 0 - vX_[7709];
+ vX_[7689] = vX_[7721] + vX_[1523] * vX_[127] + vX_[7720] * vX_[27];
+ vX_[7460] = vX_[2524] + vX_[7460];
+ vX_[2524] = vX_[7504] * vX_[126] + vX_[7460] * vX_[139];
+ vX_[8614] = vX_[2524] * vX_[126] + vX_[6635] * vX_[1];
+ vX_[6656] = vX_[3360] + vX_[6656];
+ vX_[6633] = 0 - vX_[6633];
+ vX_[3360] = vX_[6656] * vX_[139] + vX_[6633] * vX_[126];
+ vX_[2478] = 0 - vX_[3360];
+ vX_[2455] = vX_[8614] + vX_[2478] * vX_[27] + vX_[9138] * vX_[141];
+ vX_[7678] = 0 - vX_[2455];
+ vX_[7683] = vX_[7504] * vX_[1] + vX_[7460] * vX_[126];
+ vX_[7677] = vX_[7683] * vX_[139] + vX_[6667] * vX_[126];
+ vX_[7676] = vX_[6656] * vX_[126] + vX_[6618] * vX_[1];
+ vX_[7673] = 0 - vX_[7676];
+ vX_[7681] = vX_[7677] + vX_[7673] * vX_[127] + vX_[7709] * vX_[141];
+ vX_[7680] = vX_[7683] * vX_[126] + vX_[6667] * vX_[1];
+ vX_[7679] = vX_[7680] + vX_[3360] * vX_[127];
+ vX_[7551] = vX_[2524] * vX_[139] + vX_[6635] * vX_[126];
+ vX_[7537] = vX_[7551] + vX_[7676] * vX_[27] + vX_[7697] * vX_[141];
+ vX_[7125] = 0 - vX_[7679] + vX_[7537];
+ vX_[2907] = 0 - vX_[1523];
+ vX_[7544] = 0 - vX_[8664];
+ vX_[9138] = vX_[7697] * vX_[569] + vX_[9138] * vX_[517] + vX_[7709] * vX_[105] + vX_[7708] * vX_[142] +
+ vX_[7689] * vX_[153] + vX_[7678] * vX_[134] + vX_[7681] * vX_[128] + vX_[7125] * vX_[125] +
+ vX_[2907] * vX_[566] + vX_[1523] * vX_[563] + vX_[7544] * vX_[516] + vX_[7709] * vX_[520];
+ vX_[7697] = vX_[3368] * -3.44;
+ vX_[7671] = vX_[3379] * 0.1466472;
+ vX_[7115] = vX_[3377] * 0.5824264;
+ vX_[7557] = 0 - vX_[7697] + vX_[7671] - vX_[7115];
+ vX_[7254] = vX_[3369] * vX_[153] + vX_[3368] * vX_[128] + vX_[3372] * vX_[125] + vX_[3375] * vX_[563] +
+ vX_[3377] * vX_[514];
+ vX_[2977] = vX_[7506] * vX_[751] + vX_[7527] * vX_[75] + vX_[7557] * vX_[4085] + vX_[2977] * vX_[4104] -
+ vX_[7254] * x_in[33];
+ vX_[6654] = vX_[3240] + vX_[6645] + vX_[6654] - vX_[8664] - vX_[7709];
+ vX_[6645] = 0 - vX_[6654];
+ vX_[6624] = vX_[6624] + vX_[6645] * vX_[127];
+ vX_[7692] = vX_[7692] + vX_[6654] * vX_[27];
+ vX_[3240] = 0 - vX_[7689];
+ vX_[7255] = 0 - vX_[7681];
+ vX_[6641] = vX_[6625] + vX_[6641] + vX_[7460] + vX_[7468] - vX_[7680] - vX_[7551];
+ vX_[7537] = vX_[6641] - vX_[7537];
+ vX_[6625] = 0 - vX_[3360];
+ vX_[7257] = 0 - vX_[1523];
+ vX_[539] = 0 - vX_[7709];
+ vX_[7126] = vX_[7462] - vX_[3353];
+ vX_[2952] = vX_[7534] + vX_[2952];
+ vX_[7534] = vX_[7126] * vX_[126] + vX_[7451] * vX_[1];
+ vX_[1344] = vX_[7126] * vX_[139] + vX_[7451] * vX_[126];
+ vX_[3397] = vX_[3393] * 0.1104774 + vX_[3395] * -0.0004405 + vX_[3397] * 0.025941;
+ vX_[7242] = (0 - vX_[3382]) * 8.81e-05;
+ vX_[2944] = vX_[7242] + vX_[2944];
+ vX_[3401] = vX_[3382] * -0.0004405 + vX_[3393] * -8.81e-05 + vX_[3401] * 0.000468;
+ vX_[2944] = vX_[6643] * vX_[4062] + vX_[2946] * vX_[4061] + vX_[7513] * vX_[4071] + vX_[3397] * vX_[4070] +
+ vX_[2944] * vX_[4053] + vX_[2944] * vX_[4053] + vX_[3401] * x_in[35];
+ vX_[7242] = vX_[7242] + vX_[7525];
+ vX_[3399] = vX_[3382] * -0.1104774 + vX_[3395] * 8.81e-05 + vX_[3399] * 0.026409;
+ vX_[7242] = vX_[7792] * vX_[4062] + vX_[8333] * vX_[1994] + vX_[2953] * vX_[4071] + vX_[3397] * vX_[4053] +
+ vX_[7242] * vX_[4070] + vX_[7242] * vX_[4070] - vX_[3399] * x_in[35];
+ vX_[3397] = vX_[3384] * 0.47422804 + vX_[3385] * 0.0825825 + vX_[3392] * 0.081641 + (0 - vX_[3381]) * 2.1e-05 +
+ vX_[3390] * -0.000102;
+ vX_[8333] = (0 - vX_[3392]) * -0.007418;
+ vX_[8321] = vX_[8324] + vX_[8333] - vX_[8321];
+ vX_[8324] =
+ vX_[3380] * vX_[69] + vX_[3384] * vX_[85] + vX_[3385] * vX_[74] + vX_[3381] * vX_[117] + vX_[3390] * vX_[113];
+ vX_[8321] = vX_[8108] * -0.35 + vX_[2944] * vX_[7] + vX_[7242] * vX_[51] + vX_[8111] * vX_[4064] +
+ vX_[3013] * vX_[4091] + vX_[7492] * vX_[4082] + vX_[3397] * vX_[4074] + vX_[8321] * vX_[4072] +
+ vX_[8321] * vX_[4072] + vX_[8324] * x_in[34];
+ vX_[8333] = vX_[2949] - vX_[8333] - vX_[7491];
+ vX_[7491] =
+ vX_[3380] * vX_[82] + vX_[3384] * vX_[86] + vX_[3385] * vX_[80] + vX_[3381] * vX_[111] + vX_[3390] * vX_[117];
+ vX_[8333] = vX_[2944] * vX_[52] + vX_[7242] * vX_[7] + vX_[8358] * vX_[4064] + vX_[618] * vX_[4066] +
+ vX_[7517] * vX_[4082] + vX_[3397] * vX_[4072] + vX_[8333] * vX_[4074] + vX_[8333] * vX_[4074] -
+ vX_[7491] * x_in[34];
+ vX_[7115] = vX_[7697] - vX_[7671] + vX_[7115];
+ vX_[7671] = vX_[3369] * 0.1466472 + vX_[3372] * 0.5824264 + vX_[3379] * -5.1e-05 + (0 - vX_[3375]) * -0.123672 +
+ (0 - vX_[3377]) * -3.6e-05;
+ vX_[7697] = vX_[3375] * -0.022734;
+ vX_[8623] = vX_[8585] - vX_[8623] - vX_[7697];
+ vX_[8585] =
+ vX_[3369] * vX_[96] + vX_[3368] * vX_[563] + vX_[3372] * vX_[515] + vX_[3375] * vX_[513] + vX_[3377] * vX_[565];
+ vX_[8623] = vX_[8321] * vX_[4] + vX_[8333] * vX_[75] + vX_[7115] * vX_[4095] + vX_[441] * vX_[4096] +
+ vX_[7671] * vX_[4085] + vX_[7686] * vX_[4104] + vX_[8623] * vX_[4092] + vX_[8623] * vX_[4092] -
+ vX_[8585] * x_in[33];
+ vX_[3428] = vX_[3428] * vX_[1986];
+ vX_[3429] = vX_[3429] * vX_[1986];
+ vX_[7686] = vX_[3428] * vX_[7] + vX_[3429] * vX_[51];
+ vX_[3430] = vX_[3430] * vX_[1986];
+ vX_[3400] = vX_[3400] * vX_[1975];
+ vX_[441] = vX_[3400] * vX_[7];
+ vX_[3397] = vX_[3400] * vX_[51];
+ vX_[3416] = vX_[3416] * vX_[1993];
+ vX_[618] = vX_[3416] * vX_[51];
+ vX_[3402] = vX_[3402] * vX_[1975];
+ vX_[7517] = vX_[3402] * vX_[7];
+ vX_[8358] = 0 - vX_[7517];
+ vX_[2949] = vX_[3402] * vX_[51];
+ vX_[3013] = 0 - vX_[3397];
+ vX_[7492] = 0 - vX_[3416];
+ vX_[8111] = vX_[7492] * vX_[7];
+ vX_[3417] = vX_[3417] * vX_[1993];
+ vX_[8108] = 0 - vX_[3417];
+ vX_[2953] = vX_[8108] * vX_[51];
+ vX_[7792] = vX_[3417] * vX_[7];
+ vX_[3404] = vX_[3404] * vX_[1983];
+ vX_[3395] = vX_[3428] + vX_[3404];
+ vX_[3405] = vX_[3405] * vX_[1983];
+ vX_[3382] = 0 - vX_[3429] - vX_[3405];
+ vX_[7525] = vX_[3395] * vX_[51] + vX_[3382] * vX_[7];
+ vX_[2946] = vX_[3404] * vX_[7] + vX_[3405] * vX_[51];
+ vX_[3422] = vX_[3422] * vX_[1993] + vX_[3410] * vX_[1975];
+ vX_[3410] = 0 - vX_[3422];
+ vX_[7513] = 0 - vX_[3422];
+ vX_[6643] = vX_[7513] * vX_[7];
+ vX_[3393] = vX_[3422] * vX_[51];
+ vX_[7118] = vX_[3423] * vX_[893] + vX_[3655] * vX_[845] + vX_[3664] * vX_[877];
+ vX_[1944] = 0 - vX_[7118];
+ vX_[1065] = vX_[3423] * vX_[985] + vX_[3655] * vX_[878] + vX_[3664] * vX_[839];
+ vX_[7114] = vX_[1944] * x_in[18] + vX_[1065] * x_in[19];
+ vX_[7245] = 0 - vX_[7114];
+ vX_[1557] = 0 - vX_[7114];
+ vX_[5177] = vX_[1557] * vX_[7];
+ vX_[7839] = vX_[7114] * vX_[51];
+ vX_[3423] = vX_[3423] * vX_[875] + vX_[3655] * vX_[894] + vX_[3664] * vX_[986];
+ jac[1246] = vX_[2997] * vX_[3967] + vX_[3021] * vX_[4066] + vX_[7491] * vX_[3980] + vX_[8324] * vX_[4072] +
+ vX_[8122] + vX_[3423] * vX_[899] + vX_[7118] * vX_[851] + vX_[1065] * vX_[884];
+ jac[1282] = vX_[7500] * vX_[1988] + vX_[2526] * vX_[1994] + vX_[3399] * vX_[988] + vX_[3401] * vX_[4053] +
+ vX_[7483] + vX_[3423] * vX_[908] + vX_[7118] * vX_[862] + vX_[1065] * vX_[881];
+ vX_[3399] = vX_[3423] * x_in[35];
+ vX_[3401] = vX_[3399] * vX_[7];
+ vX_[7500] = vX_[3399] * vX_[51];
+ vX_[2526] = vX_[3423] * x_in[34];
+ vX_[7483] = vX_[2526] * vX_[51];
+ vX_[7491] = vX_[7118] * x_in[33];
+ vX_[8324] = vX_[2526] * vX_[7];
+ vX_[2997] = vX_[7491] * vX_[7];
+ vX_[3021] = vX_[7491] * vX_[51];
+ vX_[8122] = vX_[3434] * vX_[940];
+ vX_[3664] = 0 - vX_[8122];
+ vX_[3655] = 0 - vX_[8122];
+ vX_[7120] = vX_[3655] * vX_[7];
+ vX_[1155] = vX_[8122] * vX_[51];
+ vX_[7512] = 0 - vX_[7512];
+ vX_[7204] = vX_[1344] + vX_[7464];
+ vX_[633] = 0 - vX_[6624];
+ vX_[7124] = 0 - vX_[7692];
+ vX_[6641] = 0 - vX_[6641] + vX_[7679];
+ vX_[7679] = 0 - vX_[7676];
+ vX_[3394] = vX_[3394] * vX_[1975];
+ vX_[1514] = vX_[3394] * vX_[51];
+ vX_[3396] = vX_[3396] * vX_[1975];
+ vX_[1484] = vX_[3396] * vX_[7];
+ vX_[3398] = vX_[3398] * vX_[1975];
+ vX_[3415] = vX_[3415] * vX_[1993];
+ vX_[3431] = vX_[3431] * vX_[1986];
+ vX_[1495] = vX_[3431] * vX_[7];
+ vX_[1493] = vX_[3431] * vX_[51];
+ vX_[3420] = vX_[3420] * vX_[810];
+ vX_[9034] = vX_[3420] * vX_[51];
+ vX_[3432] = vX_[3432] * vX_[1986];
+ vX_[7122] = vX_[3432] * vX_[7];
+ vX_[7239] = 0 - vX_[7122];
+ vX_[7240] = vX_[3432] * vX_[51];
+ vX_[7271] = 0 - vX_[3394] - vX_[3420];
+ vX_[3421] = vX_[3421] * vX_[810];
+ vX_[7298] = 0 - vX_[3396] - vX_[3421];
+ vX_[7273] = vX_[7271] * vX_[7] + vX_[7298] * vX_[51];
+ vX_[7272] = vX_[3421] * vX_[7];
+ vX_[3418] = vX_[3418] * vX_[1993] + vX_[3409] * vX_[1986];
+ vX_[3409] = vX_[3418] * vX_[7];
+ vX_[7278] = vX_[3418] * vX_[51];
+ vX_[7279] = 0 - vX_[1065];
+ vX_[316] = vX_[3423] * x_in[18] + vX_[7279] * x_in[20];
+ vX_[325] = vX_[316] * vX_[7];
+ vX_[363] = vX_[316] * vX_[51];
+ vX_[352] = vX_[3423] * x_in[33];
+ vX_[309] = vX_[7118] * x_in[35];
+ vX_[314] = 0 - vX_[309];
+ vX_[310] = vX_[314] * vX_[7];
+ vX_[323] = vX_[309] * vX_[51];
+ vX_[7283] = vX_[7118] * x_in[34];
+ vX_[7286] = 0 - vX_[7283];
+ vX_[329] = vX_[352] * vX_[7];
+ vX_[331] = 0 - vX_[7283];
+ vX_[7297] = vX_[331] * vX_[7];
+ vX_[7285] = vX_[352] * vX_[51];
+ vX_[7296] = vX_[7283] * vX_[51];
+ vX_[299] = vX_[3434] * vX_[929];
+ vX_[7259] = vX_[299] * vX_[7];
+ vX_[319] = vX_[299] * vX_[51];
+ jac[562] =
+ 0 -
+ (vX_[3349] * vX_[776] + vX_[3361] * vX_[957] + vX_[8619] * vX_[699] + vX_[7451] * vX_[701] +
+ vX_[2942] * vX_[142] + vX_[7464] * vX_[389] + vX_[7510] * vX_[125] + vX_[7504] * vX_[674] +
+ vX_[6430] * vX_[150] + vX_[7468] * vX_[643] + vX_[6667] * vX_[642] + vX_[6635] * vX_[639] +
+ vX_[3352] * vX_[159] + vX_[7531] * vX_[573] + vX_[7467] * vX_[575] + vX_[6618] * vX_[623] +
+ vX_[3350] * vX_[519] + vX_[6660] * vX_[570] + vX_[7763] * x_in[22] + vX_[7583] * x_in[19] +
+ (vX_[3356] * vX_[776] + vX_[9138] * vX_[139] + vX_[7763] * x_in[20]) * -0.3735 -
+ (vX_[3347] * vX_[4079] + vX_[2977] * x_in[23]) + (vX_[3361] * vX_[4079] + vX_[2977] * x_in[19]) * -0.3735 +
+ (vX_[3367] * vX_[4079] + vX_[2478] * vX_[517] + vX_[7676] * vX_[569] + vX_[6654] * vX_[152] +
+ vX_[7720] * vX_[154] + vX_[6624] * vX_[125] + vX_[7692] * vX_[134] + vX_[3240] * vX_[137] +
+ vX_[7255] * vX_[153] + vX_[7537] * vX_[142] + vX_[6625] * vX_[515] + vX_[7676] * vX_[566] +
+ vX_[7257] * vX_[96] + vX_[539] * vX_[522] + vX_[2977] * x_in[18]) *
+ 0.207 -
+ (vX_[3356] * vX_[951] + vX_[7126] * vX_[698] + vX_[2952] * vX_[684] + vX_[7534] * vX_[125] +
+ vX_[1344] * vX_[271] + vX_[3355] * vX_[640] + vX_[6632] * vX_[160] + vX_[7460] * vX_[675] +
+ vX_[7683] * vX_[641] + vX_[2524] * vX_[568] + vX_[3351] * vX_[149] + vX_[1467] * vX_[572] +
+ vX_[6656] * vX_[622] + vX_[8610] * vX_[570] + vX_[7685] * vX_[523] + vX_[9138] * vX_[140] +
+ vX_[8623] * x_in[20]) +
+ vX_[3383] * vX_[1975] + vX_[3419] * vX_[810] + vX_[7686] * vX_[9] + (0 - vX_[3430]) * 0.3735 +
+ vX_[3430] * vX_[9] * -0.35 + vX_[441] * 0.35 + vX_[441] * vX_[75] * 0.08 + vX_[441] * vX_[9] * 0.3735 +
+ vX_[3397] * vX_[75] * 0.3735 + vX_[618] * vX_[75] * -0.207 + vX_[8358] * vX_[75] * 0.3735 +
+ vX_[2949] * 0.35 + (vX_[3013] * vX_[9] + vX_[2949] * vX_[75]) * 0.08 + vX_[2949] * vX_[9] * 0.3735 +
+ (vX_[8111] * vX_[9] + vX_[2953] * vX_[9]) * 0.207 + vX_[7792] * vX_[75] * 0.207 + vX_[7525] * vX_[75] +
+ vX_[2946] * vX_[9] + (vX_[7517] * vX_[9] - vX_[3422]) * 0.08 + vX_[3410] * vX_[75] * 0.35 +
+ vX_[6643] * vX_[75] * 0.33 + vX_[3393] * vX_[9] * 0.33 + (0 - vX_[7114]) * 0.08 +
+ vX_[7245] * vX_[75] * 0.35 + vX_[5177] * vX_[75] * 0.33 + vX_[7839] * vX_[9] * 0.33 +
+ vX_[3401] * vX_[9] * 0.33 + vX_[7500] * vX_[75] * 0.33 + vX_[2526] * vX_[9] * 0.35 +
+ vX_[7483] * vX_[75] * 0.33 + vX_[7491] * 0.08 + vX_[7491] * vX_[75] * 0.35 +
+ (vX_[8324] * vX_[9] + vX_[2997] * vX_[75]) * 0.33 + vX_[3021] * vX_[9] * -0.33 + (0 - vX_[8122]) * 0.08 +
+ vX_[3664] * vX_[75] * 0.35 + vX_[7120] * vX_[75] * 0.33 + vX_[1155] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[3347] * vX_[776] + vX_[3349] * vX_[4079] + vX_[3356] * vX_[957] + vX_[3361] * vX_[951] +
+ vX_[7126] * vX_[701] + vX_[8619] * vX_[697] + vX_[7451] * vX_[698] + vX_[2952] * vX_[142] +
+ vX_[7512] * vX_[684] + vX_[7534] * vX_[389] + vX_[7204] * vX_[125] + vX_[7510] * vX_[271] +
+ vX_[7504] * vX_[675] + vX_[3355] * vX_[643] + vX_[6632] * vX_[150] + vX_[6430] * vX_[160] +
+ vX_[7460] * vX_[674] + vX_[7468] * vX_[640] + vX_[7683] * vX_[642] + vX_[2524] * vX_[639] +
+ vX_[6667] * vX_[641] + vX_[6635] * vX_[568] + vX_[3351] * vX_[159] + vX_[3352] * vX_[149] +
+ vX_[1467] * vX_[575] + vX_[7531] * vX_[571] + vX_[7467] * vX_[572] + vX_[6656] * vX_[623] +
+ vX_[6633] * vX_[622] + vX_[8610] * vX_[519] + vX_[7714] * vX_[570] + vX_[6660] * vX_[523] +
+ vX_[9138] * vX_[138] +
+ (vX_[3360] * vX_[567] + vX_[7673] * vX_[105] + vX_[1523] * vX_[154] + vX_[6645] * vX_[129] +
+ vX_[8664] * vX_[143] + vX_[633] * vX_[128] + vX_[7696] * vX_[137] + vX_[7124] * vX_[125] +
+ vX_[2455] * vX_[142] + vX_[6641] * vX_[153] + vX_[3360] * vX_[563] + vX_[7679] * vX_[514] +
+ vX_[1523] * vX_[158] + vX_[8664] * vX_[511]) *
+ 0.207 +
+ vX_[7763] * x_in[23] + vX_[2977] * x_in[22] + vX_[7583] * x_in[20] + vX_[8623] * x_in[19] +
+ (vX_[3361] * vX_[776] + vX_[9138] * vX_[126] + vX_[7763] * x_in[19]) * 0.3735 +
+ (vX_[3367] * vX_[776] + vX_[7763] * x_in[18]) * -0.207 +
+ (vX_[3356] * vX_[4079] + vX_[2977] * x_in[20]) * -0.3735 + vX_[3427] * vX_[1986] + vX_[3403] * vX_[1983] -
+ vX_[1514] * vX_[75] + vX_[1484] * vX_[75] + vX_[3398] * 0.3735 + vX_[3398] * vX_[9] * 0.35 +
+ (0 - vX_[3415]) * 0.207 + vX_[1495] * 0.35 + vX_[1495] * vX_[75] * 0.08 + vX_[1495] * vX_[9] * 0.3735 +
+ vX_[1493] * vX_[75] * 0.3735 + (0 - vX_[1493] * vX_[9]) * 0.08 - vX_[9034] * vX_[75] +
+ vX_[7239] * vX_[75] * 0.3735 + vX_[7122] * vX_[9] * 0.08 + vX_[7240] * 0.35 + vX_[7240] * vX_[75] * 0.08 +
+ vX_[7240] * vX_[9] * 0.3735 + vX_[7273] * vX_[9] + vX_[7272] * vX_[75] + vX_[3418] * 0.08 +
+ vX_[3418] * vX_[75] * 0.35 + vX_[3409] * vX_[75] * 0.33 + vX_[7278] * vX_[9] * -0.33 + vX_[316] * 0.08 +
+ vX_[316] * vX_[75] * 0.35 + vX_[325] * vX_[75] * 0.33 + vX_[363] * vX_[9] * -0.33 + vX_[352] * 0.08 +
+ vX_[352] * vX_[75] * 0.35 + vX_[310] * vX_[9] * 0.33 + vX_[323] * vX_[75] * -0.33 +
+ vX_[7286] * vX_[9] * 0.35 + (vX_[329] * vX_[75] + vX_[7297] * vX_[9]) * 0.33 +
+ (vX_[7285] * vX_[9] + vX_[7296] * vX_[75]) * -0.33 + vX_[299] * 0.08 + vX_[299] * vX_[75] * 0.35 +
+ vX_[7259] * vX_[75] * 0.33 + vX_[319] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[7126] = vX_[3357] - vX_[3749];
+ vX_[6589] = vX_[6603] + vX_[6589];
+ vX_[6503] = vX_[3348] + vX_[6503];
+ vX_[3348] = 0 - vX_[6503];
+ vX_[6603] = vX_[7126] * vX_[1];
+ vX_[6645] = vX_[7126] * vX_[126];
+ vX_[6639] = vX_[3359] + vX_[6639];
+ vX_[5763] = vX_[5766] + vX_[5763];
+ vX_[6608] = vX_[5783] + vX_[6608];
+ vX_[3751] = vX_[5796] + vX_[3751];
+ vX_[5796] = vX_[3751] * vX_[126] + vX_[6608] * vX_[1];
+ vX_[5783] = vX_[3751] * vX_[139] + vX_[6608] * vX_[126];
+ vX_[5747] = vX_[5777] + vX_[5747];
+ vX_[3748] = 0 - (vX_[6666] + vX_[3748]) + vX_[5747];
+ vX_[6666] = vX_[5572] - vX_[5774];
+ vX_[6591] = vX_[3746] + vX_[6591];
+ vX_[5753] = vX_[5745] + vX_[5753];
+ vX_[5745] = 0 - vX_[5753];
+ vX_[3746] = vX_[6666] * vX_[1];
+ vX_[5777] = vX_[6666] * vX_[126];
+ vX_[5766] = vX_[3791] * 0.881 + (0 - vX_[3793]) * -0.0004405 + vX_[3795] * 8.81e-05;
+ vX_[3359] = vX_[3789] * -0.881;
+ vX_[6654] = vX_[3793] * 0.1104774;
+ vX_[9138] = vX_[3797] * 8.81e-05;
+ vX_[7673] = vX_[3359] - vX_[6654] + vX_[9138];
+ vX_[7683] = vX_[5766] * vX_[4053] + vX_[7673] * vX_[4070];
+ vX_[2478] = vX_[3781] * 3.146 + (0 - vX_[3788]) * 0.0825825;
+ vX_[6633] = vX_[3780] * -3.146;
+ vX_[6656] = vX_[3788] * 0.47422804;
+ vX_[2524] = vX_[6633] - vX_[6656];
+ vX_[7460] = vX_[7683] + vX_[2478] * vX_[4072] + vX_[2524] * vX_[4074];
+ vX_[7720] = vX_[3768] * 3.44 + vX_[3771] * 0.5824264;
+ vX_[3351] = 0 - vX_[7720];
+ vX_[7714] = vX_[3765] * 3.44 + (0 - vX_[3771]) * 0.1466472;
+ vX_[7685] = vX_[3765] * vX_[142] + vX_[3764] * vX_[125] + vX_[3768] * vX_[134] + vX_[3771] * vX_[515] +
+ vX_[3773] * vX_[566];
+ vX_[8610] = vX_[7460] + vX_[3351] * vX_[4085] + vX_[7714] * vX_[4092] + vX_[7685] * x_in[33];
+ vX_[1467] = 0 - vX_[5766];
+ vX_[9138] = 0 - vX_[3359] + vX_[6654] - vX_[9138];
+ vX_[6654] = vX_[3778] * -0.0004405 + vX_[3789] * 8.81e-05 + vX_[3797] * -0.000227999999999999;
+ vX_[3359] = vX_[3778] * 0.1104774 + vX_[3791] * 8.81e-05 + (0 - vX_[3795]) * 0.025713;
+ vX_[6660] = (0 - vX_[3789]) * -0.0004405;
+ vX_[3350] = (0 - vX_[3791]) * 0.1104774;
+ vX_[6618] = vX_[6660] + vX_[3350];
+ vX_[6618] = vX_[1467] * vX_[1994] + vX_[9138] * vX_[4061] + vX_[6654] * vX_[4053] + vX_[3359] * vX_[4070] +
+ vX_[6618] * vX_[4071] + vX_[6618] * vX_[4071];
+ vX_[7467] = vX_[3778] * 0.881 + (0 - vX_[3795]) * 0.1104774 + vX_[3797] * -0.0004405;
+ vX_[7531] = vX_[3789] * -0.00185880198235362 + vX_[3791] * 0.880992588508842 + vX_[3795] * 8.81e-05;
+ vX_[1467] = vX_[1467] * vX_[4071] + vX_[7467] * vX_[4070] + vX_[7531] * x_in[35];
+ vX_[3352] = 0 - vX_[7467];
+ vX_[6632] = vX_[3789] * 0.414812462825713 + vX_[3791] * -0.00185880198235362 + vX_[3797] * -8.81e-05;
+ vX_[9138] = vX_[9138] * vX_[4071] + vX_[3352] * vX_[4053] - vX_[6632] * x_in[35];
+ vX_[6635] = 0 - vX_[2478];
+ vX_[6656] = 0 - vX_[6633] + vX_[6656];
+ vX_[6633] = vX_[3776] * 0.0825825 + (0 - vX_[3788]) * -0.000102 + vX_[3777] * -0.007418 + vX_[3786] * 0.002735;
+ vX_[6667] = vX_[3776] * 0.47422804 + vX_[3788] * 2.1e-05 + (0 - vX_[3777]) * 0.084376 + (0 - vX_[3786]) * -0.007418;
+ vX_[3355] = (0 - vX_[3780]) * 0.0825825;
+ vX_[7468] = (0 - vX_[3781]) * 0.47422804;
+ vX_[6430] = vX_[3777] * -0.000102;
+ vX_[7504] = (0 - vX_[3786]) * 2.1e-05;
+ vX_[7451] = vX_[3355] + vX_[7468] + vX_[6430] + vX_[7504];
+ vX_[7451] = vX_[6618] + vX_[1467] * vX_[764] + vX_[9138] * vX_[54] + vX_[6635] * vX_[4066] + vX_[6656] * vX_[4091] +
+ vX_[6633] * vX_[4072] + vX_[6667] * vX_[4074] + vX_[7451] * vX_[4082] + vX_[7451] * vX_[4082];
+ vX_[8619] = vX_[3776] * 3.146 + (0 - vX_[3777]) * 0.47422804 + vX_[3786] * 0.0825825;
+ vX_[3427] = vX_[3780] * vX_[102] + vX_[3781] * vX_[101] + vX_[3777] * vX_[80] + vX_[3786] * vX_[74];
+ vX_[6635] =
+ vX_[1467] * vX_[7] + vX_[9138] * vX_[51] + vX_[6635] * vX_[4082] + vX_[8619] * vX_[4074] + vX_[3427] * x_in[34];
+ vX_[3419] = 0 - vX_[8619];
+ vX_[3403] = vX_[3780] * vX_[100] + vX_[3781] * vX_[102] + vX_[3777] * vX_[86] + vX_[3786] * vX_[85];
+ vX_[6656] = vX_[1467] * vX_[756] + vX_[9138] * vX_[7] + vX_[6656] * vX_[4082] + vX_[3419] * vX_[4072] -
+ vX_[3403] * x_in[34];
+ vX_[3383] = 0 - vX_[7714];
+ vX_[7474] = vX_[3764] * 0.5824264 + (0 - vX_[3775]) * -0.022734 + vX_[3771] * -3.6e-05 + vX_[3773] * -0.133138;
+ vX_[1420] = vX_[3764] * 0.1466472 + vX_[3775] * 0.009466 + (0 - vX_[3771]) * -5.1e-05 + vX_[3773] * -0.022734;
+ vX_[1352] = (0 - vX_[3765]) * 0.5824264;
+ vX_[1645] = (0 - vX_[3768]) * 0.1466472;
+ vX_[7264] = (0 - vX_[3775]) * -3.6e-05;
+ vX_[383] = (0 - vX_[3773]) * -5.1e-05;
+ vX_[374] = vX_[1352] + vX_[1645] + vX_[7264] - vX_[383];
+ vX_[7258] = vX_[3765] * vX_[158] + vX_[3764] * vX_[514] + vX_[3768] * vX_[566] + vX_[3771] * vX_[565] +
+ vX_[3773] * vX_[122];
+ vX_[374] = vX_[7451] + vX_[6635] * vX_[752] + vX_[6656] * vX_[93] + vX_[7720] * vX_[4095] + vX_[3383] * vX_[3880] +
+ vX_[7474] * vX_[4085] + vX_[1420] * vX_[4092] + vX_[374] * vX_[4104] + vX_[374] * vX_[4104] +
+ vX_[7258] * x_in[33];
+ vX_[7287] = vX_[3646] - vX_[5774];
+ vX_[9376] = vX_[7287] * vX_[126] + vX_[6591] * vX_[1];
+ vX_[7270] = vX_[7287] * vX_[139] + vX_[6591] * vX_[126];
+ vX_[1480] = vX_[7270] + vX_[3746];
+ vX_[8972] = vX_[9376] * vX_[139] + vX_[1480] * vX_[126] + vX_[5777] * vX_[1];
+ vX_[7282] = 0 - vX_[8972];
+ vX_[7267] = vX_[5774] + vX_[9376] * vX_[126] + vX_[3746] * vX_[1];
+ vX_[7269] = 0 - vX_[7267];
+ vX_[7281] = vX_[5774] + vX_[7270] * vX_[139] + vX_[5777] * vX_[126];
+ vX_[3747] = vX_[5499] + vX_[3747] - vX_[5763];
+ vX_[5499] = vX_[5747] * vX_[126] + vX_[5763] * vX_[1];
+ vX_[7265] = 0 - (vX_[3747] * vX_[139] + vX_[3748] * vX_[126]) + vX_[5499];
+ vX_[7294] = vX_[7265] + vX_[7267] * vX_[127];
+ vX_[7293] = 0 - vX_[7294];
+ vX_[7262] = vX_[5747] * vX_[139] + vX_[5763] * vX_[126];
+ vX_[1474] = vX_[3747] * vX_[126] + vX_[3748] * vX_[1] + vX_[7262];
+ vX_[1644] = 0 - vX_[7281];
+ vX_[8999] = vX_[1474] + vX_[8972] * vX_[127] + vX_[1644] * vX_[27];
+ vX_[6620] = vX_[7523] + vX_[6620];
+ vX_[7523] = vX_[6639] * vX_[126] + vX_[6620] * vX_[139];
+ vX_[7251] = vX_[7523] * vX_[126] + vX_[5783] * vX_[1];
+ vX_[5804] = vX_[3756] + vX_[5804];
+ vX_[5753] = 0 - vX_[5753];
+ vX_[3756] = vX_[5804] * vX_[139] + vX_[5753] * vX_[126];
+ vX_[7256] = 0 - vX_[3756];
+ vX_[7250] = vX_[7251] + vX_[7256] * vX_[27] + vX_[7269] * vX_[141];
+ vX_[7249] = 0 - vX_[7250];
+ vX_[7246] = vX_[6639] * vX_[1] + vX_[6620] * vX_[126];
+ vX_[7253] = vX_[7246] * vX_[139] + vX_[5796] * vX_[126];
+ vX_[7252] = vX_[5804] * vX_[126] + vX_[5745] * vX_[1];
+ vX_[7123] = 0 - vX_[7252];
+ vX_[7109] = vX_[7253] + vX_[7123] * vX_[127] + vX_[7281] * vX_[141];
+ vX_[1550] = vX_[7246] * vX_[126] + vX_[5796] * vX_[1];
+ vX_[6698] = vX_[1550] + vX_[3756] * vX_[127];
+ vX_[1559] = vX_[7523] * vX_[139] + vX_[5783] * vX_[126];
+ vX_[6438] = vX_[1559] + vX_[7252] * vX_[27] + vX_[7282] * vX_[141];
+ vX_[201] = 0 - vX_[6698] + vX_[6438];
+ vX_[7116] = 0 - vX_[8972];
+ vX_[7244] = 0 - vX_[7267];
+ vX_[7269] = vX_[7282] * vX_[569] + vX_[7269] * vX_[517] + vX_[7281] * vX_[105] + vX_[7293] * vX_[142] +
+ vX_[8999] * vX_[153] + vX_[7249] * vX_[134] + vX_[7109] * vX_[128] + vX_[201] * vX_[125] +
+ vX_[7116] * vX_[566] + vX_[8972] * vX_[563] + vX_[7244] * vX_[516] + vX_[7281] * vX_[520];
+ vX_[7282] = vX_[3764] * -3.44;
+ vX_[6692] = vX_[3775] * 0.1466472;
+ vX_[7130] = vX_[3773] * 0.5824264;
+ vX_[1240] = 0 - vX_[7282] + vX_[6692] - vX_[7130];
+ vX_[6827] = vX_[3765] * vX_[153] + vX_[3764] * vX_[128] + vX_[3768] * vX_[125] + vX_[3771] * vX_[563] +
+ vX_[3773] * vX_[514];
+ vX_[3383] = vX_[6635] * vX_[751] + vX_[6656] * vX_[75] + vX_[1240] * vX_[4085] + vX_[3383] * vX_[4104] -
+ vX_[6827] * x_in[33];
+ vX_[5774] = vX_[3646] + vX_[5572] + vX_[5774] - vX_[7267] - vX_[7281];
+ vX_[5572] = 0 - vX_[5774];
+ vX_[5499] = vX_[5499] + vX_[5572] * vX_[127];
+ vX_[7262] = vX_[7262] + vX_[5774] * vX_[27];
+ vX_[3646] = 0 - vX_[8999];
+ vX_[6828] = 0 - vX_[7109];
+ vX_[5758] = vX_[5754] + vX_[5758] + vX_[6620] + vX_[6608] - vX_[1550] - vX_[1559];
+ vX_[6438] = vX_[5758] - vX_[6438];
+ vX_[5754] = 0 - vX_[3756];
+ vX_[6830] = 0 - vX_[8972];
+ vX_[9073] = 0 - vX_[7281];
+ vX_[6699] = vX_[6607] - vX_[3749];
+ vX_[3358] = vX_[6675] + vX_[3358];
+ vX_[6675] = vX_[6699] * vX_[126] + vX_[6589] * vX_[1];
+ vX_[1648] = vX_[6699] * vX_[139] + vX_[6589] * vX_[126];
+ vX_[3793] = vX_[3789] * 0.1104774 + vX_[3791] * -0.0004405 + vX_[3793] * 0.025941;
+ vX_[6815] = (0 - vX_[3778]) * 8.81e-05;
+ vX_[3350] = vX_[6815] + vX_[3350];
+ vX_[3797] = vX_[3778] * -0.0004405 + vX_[3789] * -8.81e-05 + vX_[3797] * 0.000468;
+ vX_[3350] = vX_[5766] * vX_[4062] + vX_[3352] * vX_[4061] + vX_[6654] * vX_[4071] + vX_[3793] * vX_[4070] +
+ vX_[3350] * vX_[4053] + vX_[3350] * vX_[4053] + vX_[3797] * x_in[35];
+ vX_[6815] = vX_[6815] + vX_[6660];
+ vX_[3795] = vX_[3778] * -0.1104774 + vX_[3791] * 8.81e-05 + vX_[3795] * 0.026409;
+ vX_[6815] = vX_[7673] * vX_[4062] + vX_[7467] * vX_[1994] + vX_[3359] * vX_[4071] + vX_[3793] * vX_[4053] +
+ vX_[6815] * vX_[4070] + vX_[6815] * vX_[4070] - vX_[3795] * x_in[35];
+ vX_[3793] = vX_[3780] * 0.47422804 + vX_[3781] * 0.0825825 + vX_[3788] * 0.081641 + (0 - vX_[3777]) * 2.1e-05 +
+ vX_[3786] * -0.000102;
+ vX_[7467] = (0 - vX_[3788]) * -0.007418;
+ vX_[7504] = vX_[7468] + vX_[7467] - vX_[7504];
+ vX_[7468] =
+ vX_[3776] * vX_[69] + vX_[3780] * vX_[85] + vX_[3781] * vX_[74] + vX_[3777] * vX_[117] + vX_[3786] * vX_[113];
+ vX_[7504] = vX_[7683] * -0.35 + vX_[3350] * vX_[7] + vX_[6815] * vX_[51] + vX_[2478] * vX_[4064] +
+ vX_[3419] * vX_[4091] + vX_[6633] * vX_[4082] + vX_[3793] * vX_[4074] + vX_[7504] * vX_[4072] +
+ vX_[7504] * vX_[4072] + vX_[7468] * x_in[34];
+ vX_[7467] = vX_[3355] - vX_[7467] - vX_[6430];
+ vX_[6430] =
+ vX_[3776] * vX_[82] + vX_[3780] * vX_[86] + vX_[3781] * vX_[80] + vX_[3777] * vX_[111] + vX_[3786] * vX_[117];
+ vX_[7467] = vX_[3350] * vX_[52] + vX_[6815] * vX_[7] + vX_[2524] * vX_[4064] + vX_[8619] * vX_[4066] +
+ vX_[6667] * vX_[4082] + vX_[3793] * vX_[4072] + vX_[7467] * vX_[4074] + vX_[7467] * vX_[4074] -
+ vX_[6430] * x_in[34];
+ vX_[7130] = vX_[7282] - vX_[6692] + vX_[7130];
+ vX_[6692] = vX_[3765] * 0.1466472 + vX_[3768] * 0.5824264 + vX_[3775] * -5.1e-05 + (0 - vX_[3771]) * -0.123672 +
+ (0 - vX_[3773]) * -3.6e-05;
+ vX_[7282] = vX_[3771] * -0.022734;
+ vX_[7264] = vX_[1352] - vX_[7264] - vX_[7282];
+ vX_[1352] =
+ vX_[3765] * vX_[96] + vX_[3764] * vX_[563] + vX_[3768] * vX_[515] + vX_[3771] * vX_[513] + vX_[3773] * vX_[565];
+ vX_[7264] = vX_[7504] * vX_[4] + vX_[7467] * vX_[75] + vX_[7130] * vX_[4095] + vX_[7714] * vX_[4096] +
+ vX_[6692] * vX_[4085] + vX_[1420] * vX_[4104] + vX_[7264] * vX_[4092] + vX_[7264] * vX_[4092] -
+ vX_[1352] * x_in[33];
+ vX_[3824] = vX_[3824] * vX_[1986];
+ vX_[3825] = vX_[3825] * vX_[1986];
+ vX_[1420] = vX_[3824] * vX_[7] + vX_[3825] * vX_[51];
+ vX_[3826] = vX_[3826] * vX_[1986];
+ vX_[3796] = vX_[3796] * vX_[1975];
+ vX_[7714] = vX_[3796] * vX_[7];
+ vX_[3793] = vX_[3796] * vX_[51];
+ vX_[3812] = vX_[3812] * vX_[1993];
+ vX_[8619] = vX_[3812] * vX_[51];
+ vX_[3798] = vX_[3798] * vX_[1975];
+ vX_[6667] = vX_[3798] * vX_[7];
+ vX_[2524] = 0 - vX_[6667];
+ vX_[3355] = vX_[3798] * vX_[51];
+ vX_[3419] = 0 - vX_[3793];
+ vX_[6633] = 0 - vX_[3812];
+ vX_[2478] = vX_[6633] * vX_[7];
+ vX_[3813] = vX_[3813] * vX_[1993];
+ vX_[7683] = 0 - vX_[3813];
+ vX_[3359] = vX_[7683] * vX_[51];
+ vX_[7673] = vX_[3813] * vX_[7];
+ vX_[3800] = vX_[3800] * vX_[1983];
+ vX_[3791] = vX_[3824] + vX_[3800];
+ vX_[3801] = vX_[3801] * vX_[1983];
+ vX_[3778] = 0 - vX_[3825] - vX_[3801];
+ vX_[6660] = vX_[3791] * vX_[51] + vX_[3778] * vX_[7];
+ vX_[3352] = vX_[3800] * vX_[7] + vX_[3801] * vX_[51];
+ vX_[3818] = vX_[3818] * vX_[1993] + vX_[3806] * vX_[1975];
+ vX_[3806] = 0 - vX_[3818];
+ vX_[6654] = 0 - vX_[3818];
+ vX_[5766] = vX_[6654] * vX_[7];
+ vX_[3789] = vX_[3818] * vX_[51];
+ vX_[6693] = vX_[3819] * vX_[893] + vX_[4051] * vX_[845] + vX_[4060] * vX_[877];
+ vX_[4323] = 0 - vX_[6693];
+ vX_[4482] = vX_[3819] * vX_[985] + vX_[4051] * vX_[878] + vX_[4060] * vX_[839];
+ vX_[1364] = vX_[4323] * x_in[18] + vX_[4482] * x_in[19];
+ vX_[6818] = 0 - vX_[1364];
+ vX_[1632] = 0 - vX_[1364];
+ vX_[3534] = vX_[1632] * vX_[7];
+ vX_[9054] = vX_[1364] * vX_[51];
+ vX_[3819] = vX_[3819] * vX_[875] + vX_[4051] * vX_[894] + vX_[4060] * vX_[986];
+ jac[1247] = vX_[3403] * vX_[3967] + vX_[3427] * vX_[4066] + vX_[6430] * vX_[3980] + vX_[7468] * vX_[4072] +
+ vX_[7451] + vX_[3819] * vX_[899] + vX_[6693] * vX_[851] + vX_[4482] * vX_[884];
+ jac[1283] = vX_[6632] * vX_[1988] + vX_[7531] * vX_[1994] + vX_[3795] * vX_[988] + vX_[3797] * vX_[4053] +
+ vX_[6618] + vX_[3819] * vX_[908] + vX_[6693] * vX_[862] + vX_[4482] * vX_[881];
+ vX_[3795] = vX_[3819] * x_in[35];
+ vX_[3797] = vX_[3795] * vX_[7];
+ vX_[6632] = vX_[3795] * vX_[51];
+ vX_[7531] = vX_[3819] * x_in[34];
+ vX_[6618] = vX_[7531] * vX_[51];
+ vX_[6430] = vX_[6693] * x_in[33];
+ vX_[7468] = vX_[7531] * vX_[7];
+ vX_[3403] = vX_[6430] * vX_[7];
+ vX_[3427] = vX_[6430] * vX_[51];
+ vX_[7451] = vX_[3830] * vX_[940];
+ vX_[4060] = 0 - vX_[7451];
+ vX_[4051] = 0 - vX_[7451];
+ vX_[9067] = vX_[4051] * vX_[7];
+ vX_[9353] = vX_[7451] * vX_[51];
+ vX_[6503] = 0 - vX_[6503];
+ vX_[4121] = vX_[1648] + vX_[6603];
+ vX_[1357] = 0 - vX_[5499];
+ vX_[6697] = 0 - vX_[7262];
+ vX_[5758] = 0 - vX_[5758] + vX_[6698];
+ vX_[6698] = 0 - vX_[7252];
+ vX_[3790] = vX_[3790] * vX_[1975];
+ vX_[1405] = vX_[3790] * vX_[51];
+ vX_[3792] = vX_[3792] * vX_[1975];
+ vX_[1429] = vX_[3792] * vX_[7];
+ vX_[3794] = vX_[3794] * vX_[1975];
+ vX_[3811] = vX_[3811] * vX_[1993];
+ vX_[3827] = vX_[3827] * vX_[1986];
+ vX_[6453] = vX_[3827] * vX_[7];
+ vX_[9116] = vX_[3827] * vX_[51];
+ vX_[3816] = vX_[3816] * vX_[810];
+ vX_[6422] = vX_[3816] * vX_[51];
+ vX_[3828] = vX_[3828] * vX_[1986];
+ vX_[6695] = vX_[3828] * vX_[7];
+ vX_[6812] = 0 - vX_[6695];
+ vX_[6813] = vX_[3828] * vX_[51];
+ vX_[6844] = 0 - vX_[3790] - vX_[3816];
+ vX_[3817] = vX_[3817] * vX_[810];
+ vX_[6871] = 0 - vX_[3792] - vX_[3817];
+ vX_[6846] = vX_[6844] * vX_[7] + vX_[6871] * vX_[51];
+ vX_[6845] = vX_[3817] * vX_[7];
+ vX_[3814] = vX_[3814] * vX_[1993] + vX_[3805] * vX_[1986];
+ vX_[3805] = vX_[3814] * vX_[7];
+ vX_[6851] = vX_[3814] * vX_[51];
+ vX_[6852] = 0 - vX_[4482];
+ vX_[1609] = vX_[3819] * x_in[18] + vX_[6852] * x_in[20];
+ vX_[2058] = vX_[1609] * vX_[7];
+ vX_[1535] = vX_[1609] * vX_[51];
+ vX_[1000] = vX_[3819] * x_in[33];
+ vX_[1149] = vX_[6693] * x_in[35];
+ vX_[1511] = 0 - vX_[1149];
+ vX_[1245] = vX_[1511] * vX_[7];
+ vX_[7853] = vX_[1149] * vX_[51];
+ vX_[6856] = vX_[6693] * x_in[34];
+ vX_[6859] = 0 - vX_[6856];
+ vX_[9017] = vX_[1000] * vX_[7];
+ vX_[4503] = 0 - vX_[6856];
+ vX_[6870] = vX_[4503] * vX_[7];
+ vX_[6858] = vX_[1000] * vX_[51];
+ vX_[6869] = vX_[6856] * vX_[51];
+ vX_[4319] = vX_[3830] * vX_[929];
+ vX_[6832] = vX_[4319] * vX_[7];
+ vX_[4469] = vX_[4319] * vX_[51];
+ jac[563] =
+ 0 -
+ (vX_[3745] * vX_[776] + vX_[3757] * vX_[957] + vX_[7126] * vX_[699] + vX_[6589] * vX_[701] +
+ vX_[3348] * vX_[142] + vX_[6603] * vX_[389] + vX_[6645] * vX_[125] + vX_[6639] * vX_[674] +
+ vX_[5763] * vX_[150] + vX_[6608] * vX_[643] + vX_[5796] * vX_[642] + vX_[5783] * vX_[639] +
+ vX_[3748] * vX_[159] + vX_[6666] * vX_[573] + vX_[6591] * vX_[575] + vX_[5745] * vX_[623] +
+ vX_[3746] * vX_[519] + vX_[5777] * vX_[570] + vX_[8610] * x_in[22] + vX_[374] * x_in[19] +
+ (vX_[3752] * vX_[776] + vX_[7269] * vX_[139] + vX_[8610] * x_in[20]) * -0.3735 -
+ (vX_[2917] * vX_[4079] + vX_[3383] * x_in[23]) + (vX_[3757] * vX_[4079] + vX_[3383] * x_in[19]) * -0.3735 +
+ (vX_[3763] * vX_[4079] + vX_[7256] * vX_[517] + vX_[7252] * vX_[569] + vX_[5774] * vX_[152] +
+ vX_[1644] * vX_[154] + vX_[5499] * vX_[125] + vX_[7262] * vX_[134] + vX_[3646] * vX_[137] +
+ vX_[6828] * vX_[153] + vX_[6438] * vX_[142] + vX_[5754] * vX_[515] + vX_[7252] * vX_[566] +
+ vX_[6830] * vX_[96] + vX_[9073] * vX_[522] + vX_[3383] * x_in[18]) *
+ 0.207 -
+ (vX_[3752] * vX_[951] + vX_[6699] * vX_[698] + vX_[3358] * vX_[684] + vX_[6675] * vX_[125] +
+ vX_[1648] * vX_[271] + vX_[3751] * vX_[640] + vX_[5747] * vX_[160] + vX_[6620] * vX_[675] +
+ vX_[7246] * vX_[641] + vX_[7523] * vX_[568] + vX_[3747] * vX_[149] + vX_[7287] * vX_[572] +
+ vX_[5804] * vX_[622] + vX_[9376] * vX_[570] + vX_[7270] * vX_[523] + vX_[7269] * vX_[140] +
+ vX_[7264] * x_in[20]) +
+ vX_[3779] * vX_[1975] + vX_[3815] * vX_[810] + vX_[1420] * vX_[9] + (0 - vX_[3826]) * 0.3735 +
+ vX_[3826] * vX_[9] * -0.35 + vX_[7714] * 0.35 + vX_[7714] * vX_[75] * 0.08 + vX_[7714] * vX_[9] * 0.3735 +
+ vX_[3793] * vX_[75] * 0.3735 + vX_[8619] * vX_[75] * -0.207 + vX_[2524] * vX_[75] * 0.3735 +
+ vX_[3355] * 0.35 + (vX_[3419] * vX_[9] + vX_[3355] * vX_[75]) * 0.08 + vX_[3355] * vX_[9] * 0.3735 +
+ (vX_[2478] * vX_[9] + vX_[3359] * vX_[9]) * 0.207 + vX_[7673] * vX_[75] * 0.207 + vX_[6660] * vX_[75] +
+ vX_[3352] * vX_[9] + (vX_[6667] * vX_[9] - vX_[3818]) * 0.08 + vX_[3806] * vX_[75] * 0.35 +
+ vX_[5766] * vX_[75] * 0.33 + vX_[3789] * vX_[9] * 0.33 + (0 - vX_[1364]) * 0.08 +
+ vX_[6818] * vX_[75] * 0.35 + vX_[3534] * vX_[75] * 0.33 + vX_[9054] * vX_[9] * 0.33 +
+ vX_[3797] * vX_[9] * 0.33 + vX_[6632] * vX_[75] * 0.33 + vX_[7531] * vX_[9] * 0.35 +
+ vX_[6618] * vX_[75] * 0.33 + vX_[6430] * 0.08 + vX_[6430] * vX_[75] * 0.35 +
+ (vX_[7468] * vX_[9] + vX_[3403] * vX_[75]) * 0.33 + vX_[3427] * vX_[9] * -0.33 + (0 - vX_[7451]) * 0.08 +
+ vX_[4060] * vX_[75] * 0.35 + vX_[9067] * vX_[75] * 0.33 + vX_[9353] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[2917] * vX_[776] + vX_[3745] * vX_[4079] + vX_[3752] * vX_[957] + vX_[3757] * vX_[951] +
+ vX_[6699] * vX_[701] + vX_[7126] * vX_[697] + vX_[6589] * vX_[698] + vX_[3358] * vX_[142] +
+ vX_[6503] * vX_[684] + vX_[6675] * vX_[389] + vX_[4121] * vX_[125] + vX_[6645] * vX_[271] +
+ vX_[6639] * vX_[675] + vX_[3751] * vX_[643] + vX_[5747] * vX_[150] + vX_[5763] * vX_[160] +
+ vX_[6620] * vX_[674] + vX_[6608] * vX_[640] + vX_[7246] * vX_[642] + vX_[7523] * vX_[639] +
+ vX_[5796] * vX_[641] + vX_[5783] * vX_[568] + vX_[3747] * vX_[159] + vX_[3748] * vX_[149] +
+ vX_[7287] * vX_[575] + vX_[6666] * vX_[571] + vX_[6591] * vX_[572] + vX_[5804] * vX_[623] +
+ vX_[5753] * vX_[622] + vX_[9376] * vX_[519] + vX_[1480] * vX_[570] + vX_[5777] * vX_[523] +
+ vX_[7269] * vX_[138] +
+ (vX_[3756] * vX_[567] + vX_[7123] * vX_[105] + vX_[8972] * vX_[154] + vX_[5572] * vX_[129] +
+ vX_[7267] * vX_[143] + vX_[1357] * vX_[128] + vX_[7294] * vX_[137] + vX_[6697] * vX_[125] +
+ vX_[7250] * vX_[142] + vX_[5758] * vX_[153] + vX_[3756] * vX_[563] + vX_[6698] * vX_[514] +
+ vX_[8972] * vX_[158] + vX_[7267] * vX_[511]) *
+ 0.207 +
+ vX_[8610] * x_in[23] + vX_[3383] * x_in[22] + vX_[374] * x_in[20] + vX_[7264] * x_in[19] +
+ (vX_[3757] * vX_[776] + vX_[7269] * vX_[126] + vX_[8610] * x_in[19]) * 0.3735 +
+ (vX_[3763] * vX_[776] + vX_[8610] * x_in[18]) * -0.207 +
+ (vX_[3752] * vX_[4079] + vX_[3383] * x_in[20]) * -0.3735 + vX_[3823] * vX_[1986] + vX_[3799] * vX_[1983] -
+ vX_[1405] * vX_[75] + vX_[1429] * vX_[75] + vX_[3794] * 0.3735 + vX_[3794] * vX_[9] * 0.35 +
+ (0 - vX_[3811]) * 0.207 + vX_[6453] * 0.35 + vX_[6453] * vX_[75] * 0.08 + vX_[6453] * vX_[9] * 0.3735 +
+ vX_[9116] * vX_[75] * 0.3735 + (0 - vX_[9116] * vX_[9]) * 0.08 - vX_[6422] * vX_[75] +
+ vX_[6812] * vX_[75] * 0.3735 + vX_[6695] * vX_[9] * 0.08 + vX_[6813] * 0.35 + vX_[6813] * vX_[75] * 0.08 +
+ vX_[6813] * vX_[9] * 0.3735 + vX_[6846] * vX_[9] + vX_[6845] * vX_[75] + vX_[3814] * 0.08 +
+ vX_[3814] * vX_[75] * 0.35 + vX_[3805] * vX_[75] * 0.33 + vX_[6851] * vX_[9] * -0.33 + vX_[1609] * 0.08 +
+ vX_[1609] * vX_[75] * 0.35 + vX_[2058] * vX_[75] * 0.33 + vX_[1535] * vX_[9] * -0.33 + vX_[1000] * 0.08 +
+ vX_[1000] * vX_[75] * 0.35 + vX_[1245] * vX_[9] * 0.33 + vX_[7853] * vX_[75] * -0.33 +
+ vX_[6859] * vX_[9] * 0.35 + (vX_[9017] * vX_[75] + vX_[6870] * vX_[9]) * 0.33 +
+ (vX_[6858] * vX_[9] + vX_[6869] * vX_[75]) * -0.33 + vX_[4319] * 0.08 + vX_[4319] * vX_[75] * 0.35 +
+ vX_[6832] * vX_[75] * 0.33 + vX_[4469] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[6699] = vX_[6683] - vX_[4167];
+ vX_[5660] = vX_[4161] + vX_[5660];
+ vX_[5800] = vX_[4156] + vX_[5800];
+ vX_[4156] = 0 - vX_[5800];
+ vX_[4161] = vX_[6699] * vX_[1];
+ vX_[5572] = vX_[6699] * vX_[126];
+ vX_[3744] = vX_[4158] + vX_[3744];
+ vX_[4651] = vX_[4916] + vX_[4651];
+ vX_[5672] = vX_[4157] + vX_[5672];
+ vX_[4168] = vX_[4148] + vX_[4168];
+ vX_[4148] = vX_[4168] * vX_[126] + vX_[5672] * vX_[1];
+ vX_[4157] = vX_[4168] * vX_[139] + vX_[5672] * vX_[126];
+ vX_[4905] = vX_[4923] + vX_[4905];
+ vX_[4166] = 0 - (vX_[4155] + vX_[4166]) + vX_[4905];
+ vX_[4155] = vX_[4908] - vX_[4172];
+ vX_[5676] = vX_[4151] + vX_[5676];
+ vX_[4906] = vX_[4883] + vX_[4906];
+ vX_[4883] = 0 - vX_[4906];
+ vX_[4151] = vX_[4155] * vX_[1];
+ vX_[4923] = vX_[4155] * vX_[126];
+ vX_[4916] = vX_[4206] * 0.881 + (0 - vX_[4208]) * -0.0004405 + vX_[4210] * 8.81e-05;
+ vX_[4158] = vX_[4204] * -0.881;
+ vX_[5774] = vX_[4208] * 0.1104774;
+ vX_[7269] = vX_[4212] * 8.81e-05;
+ vX_[7123] = vX_[4158] - vX_[5774] + vX_[7269];
+ vX_[7246] = vX_[4916] * vX_[4053] + vX_[7123] * vX_[4070];
+ vX_[7256] = vX_[4196] * 3.146 + (0 - vX_[4203]) * 0.0825825;
+ vX_[5753] = vX_[4195] * -3.146;
+ vX_[5804] = vX_[4203] * 0.47422804;
+ vX_[7523] = vX_[5753] - vX_[5804];
+ vX_[6620] = vX_[7246] + vX_[7256] * vX_[4072] + vX_[7523] * vX_[4074];
+ vX_[1644] = vX_[4183] * 3.44 + vX_[4186] * 0.5824264;
+ vX_[3747] = 0 - vX_[1644];
+ vX_[1480] = vX_[4180] * 3.44 + (0 - vX_[4186]) * 0.1466472;
+ vX_[7270] = vX_[4180] * vX_[142] + vX_[4179] * vX_[125] + vX_[4183] * vX_[134] + vX_[4186] * vX_[515] +
+ vX_[4188] * vX_[566];
+ vX_[9376] = vX_[6620] + vX_[3747] * vX_[4085] + vX_[1480] * vX_[4092] + vX_[7270] * x_in[33];
+ vX_[7287] = 0 - vX_[4916];
+ vX_[7269] = 0 - vX_[4158] + vX_[5774] - vX_[7269];
+ vX_[5774] = vX_[4193] * -0.0004405 + vX_[4204] * 8.81e-05 + vX_[4212] * -0.000227999999999999;
+ vX_[4158] = vX_[4193] * 0.1104774 + vX_[4206] * 8.81e-05 + (0 - vX_[4210]) * 0.025713;
+ vX_[5777] = (0 - vX_[4204]) * -0.0004405;
+ vX_[3746] = (0 - vX_[4206]) * 0.1104774;
+ vX_[5745] = vX_[5777] + vX_[3746];
+ vX_[5745] = vX_[7287] * vX_[1994] + vX_[7269] * vX_[4061] + vX_[5774] * vX_[4053] + vX_[4158] * vX_[4070] +
+ vX_[5745] * vX_[4071] + vX_[5745] * vX_[4071];
+ vX_[6591] = vX_[4193] * 0.881 + (0 - vX_[4210]) * 0.1104774 + vX_[4212] * -0.0004405;
+ vX_[6666] = vX_[4204] * -0.00185880198235362 + vX_[4206] * 0.880992588508842 + vX_[4210] * 8.81e-05;
+ vX_[7287] = vX_[7287] * vX_[4071] + vX_[6591] * vX_[4070] + vX_[6666] * x_in[35];
+ vX_[3748] = 0 - vX_[6591];
+ vX_[5747] = vX_[4204] * 0.414812462825713 + vX_[4206] * -0.00185880198235362 + vX_[4212] * -8.81e-05;
+ vX_[7269] = vX_[7269] * vX_[4071] + vX_[3748] * vX_[4053] - vX_[5747] * x_in[35];
+ vX_[5783] = 0 - vX_[7256];
+ vX_[5804] = 0 - vX_[5753] + vX_[5804];
+ vX_[5753] = vX_[4191] * 0.0825825 + (0 - vX_[4203]) * -0.000102 + vX_[4192] * -0.007418 + vX_[4201] * 0.002735;
+ vX_[5796] = vX_[4191] * 0.47422804 + vX_[4203] * 2.1e-05 + (0 - vX_[4192]) * 0.084376 + (0 - vX_[4201]) * -0.007418;
+ vX_[3751] = (0 - vX_[4195]) * 0.0825825;
+ vX_[6608] = (0 - vX_[4196]) * 0.47422804;
+ vX_[5763] = vX_[4192] * -0.000102;
+ vX_[6639] = (0 - vX_[4201]) * 2.1e-05;
+ vX_[6589] = vX_[3751] + vX_[6608] + vX_[5763] + vX_[6639];
+ vX_[6589] = vX_[5745] + vX_[7287] * vX_[764] + vX_[7269] * vX_[54] + vX_[5783] * vX_[4066] + vX_[5804] * vX_[4091] +
+ vX_[5753] * vX_[4072] + vX_[5796] * vX_[4074] + vX_[6589] * vX_[4082] + vX_[6589] * vX_[4082];
+ vX_[7126] = vX_[4191] * 3.146 + (0 - vX_[4192]) * 0.47422804 + vX_[4201] * 0.0825825;
+ vX_[3823] = vX_[4195] * vX_[102] + vX_[4196] * vX_[101] + vX_[4192] * vX_[80] + vX_[4201] * vX_[74];
+ vX_[5783] =
+ vX_[7287] * vX_[7] + vX_[7269] * vX_[51] + vX_[5783] * vX_[4082] + vX_[7126] * vX_[4074] + vX_[3823] * x_in[34];
+ vX_[3815] = 0 - vX_[7126];
+ vX_[3799] = vX_[4195] * vX_[100] + vX_[4196] * vX_[102] + vX_[4192] * vX_[86] + vX_[4201] * vX_[85];
+ vX_[5804] = vX_[7287] * vX_[756] + vX_[7269] * vX_[7] + vX_[5804] * vX_[4082] + vX_[3815] * vX_[4072] -
+ vX_[3799] * x_in[34];
+ vX_[3779] = 0 - vX_[1480];
+ vX_[7047] = vX_[4179] * 0.5824264 + (0 - vX_[4190]) * -0.022734 + vX_[4186] * -3.6e-05 + vX_[4188] * -0.133138;
+ vX_[1891] = vX_[4179] * 0.1466472 + vX_[4190] * 0.009466 + (0 - vX_[4186]) * -5.1e-05 + vX_[4188] * -0.022734;
+ vX_[1825] = (0 - vX_[4180]) * 0.5824264;
+ vX_[9240] = (0 - vX_[4183]) * 0.1466472;
+ vX_[6837] = (0 - vX_[4190]) * -3.6e-05;
+ vX_[915] = (0 - vX_[4188]) * -5.1e-05;
+ vX_[7420] = vX_[1825] + vX_[9240] + vX_[6837] - vX_[915];
+ vX_[6831] = vX_[4180] * vX_[158] + vX_[4179] * vX_[514] + vX_[4183] * vX_[566] + vX_[4186] * vX_[565] +
+ vX_[4188] * vX_[122];
+ vX_[7420] = vX_[6589] + vX_[5783] * vX_[752] + vX_[5804] * vX_[93] + vX_[1644] * vX_[4095] + vX_[3779] * vX_[3880] +
+ vX_[7047] * vX_[4085] + vX_[1891] * vX_[4092] + vX_[7420] * vX_[4104] + vX_[7420] * vX_[4104] +
+ vX_[6831] * x_in[33];
+ vX_[6860] = vX_[5795] - vX_[4172];
+ vX_[1148] = vX_[6860] * vX_[126] + vX_[5676] * vX_[1];
+ vX_[6843] = vX_[6860] * vX_[139] + vX_[5676] * vX_[126];
+ vX_[1424] = vX_[6843] + vX_[4151];
+ vX_[9110] = vX_[1148] * vX_[139] + vX_[1424] * vX_[126] + vX_[4923] * vX_[1];
+ vX_[6855] = 0 - vX_[9110];
+ vX_[6840] = vX_[4172] + vX_[1148] * vX_[126] + vX_[4151] * vX_[1];
+ vX_[6842] = 0 - vX_[6840];
+ vX_[6854] = vX_[4172] + vX_[6843] * vX_[139] + vX_[4923] * vX_[126];
+ vX_[4165] = vX_[4154] + vX_[4165] - vX_[4651];
+ vX_[4154] = vX_[4905] * vX_[126] + vX_[4651] * vX_[1];
+ vX_[6838] = 0 - (vX_[4165] * vX_[139] + vX_[4166] * vX_[126]) + vX_[4154];
+ vX_[6867] = vX_[6838] + vX_[6840] * vX_[127];
+ vX_[6866] = 0 - vX_[6867];
+ vX_[6835] = vX_[4905] * vX_[139] + vX_[4651] * vX_[126];
+ vX_[1654] = vX_[4165] * vX_[126] + vX_[4166] * vX_[1] + vX_[6835];
+ vX_[9092] = 0 - vX_[6854];
+ vX_[416] = vX_[1654] + vX_[9110] * vX_[127] + vX_[9092] * vX_[27];
+ vX_[5756] = vX_[4153] + vX_[5756];
+ vX_[4153] = vX_[3744] * vX_[126] + vX_[5756] * vX_[139];
+ vX_[6824] = vX_[4153] * vX_[126] + vX_[4157] * vX_[1];
+ vX_[4937] = vX_[4142] + vX_[4937];
+ vX_[4906] = 0 - vX_[4906];
+ vX_[4142] = vX_[4937] * vX_[139] + vX_[4906] * vX_[126];
+ vX_[6829] = 0 - vX_[4142];
+ vX_[6823] = vX_[6824] + vX_[6829] * vX_[27] + vX_[6842] * vX_[141];
+ vX_[6822] = 0 - vX_[6823];
+ vX_[6819] = vX_[3744] * vX_[1] + vX_[5756] * vX_[126];
+ vX_[6826] = vX_[6819] * vX_[139] + vX_[4148] * vX_[126];
+ vX_[6825] = vX_[4937] * vX_[126] + vX_[4883] * vX_[1];
+ vX_[1598] = 0 - vX_[6825];
+ vX_[6817] = vX_[6826] + vX_[1598] * vX_[127] + vX_[6854] * vX_[141];
+ vX_[1366] = vX_[6819] * vX_[126] + vX_[4148] * vX_[1];
+ vX_[6703] = vX_[1366] + vX_[4142] * vX_[127];
+ vX_[6408] = vX_[4153] * vX_[139] + vX_[4157] * vX_[126];
+ vX_[6409] = vX_[6408] + vX_[6825] * vX_[27] + vX_[6855] * vX_[141];
+ vX_[6411] = 0 - vX_[6703] + vX_[6409];
+ vX_[6393] = 0 - vX_[9110];
+ vX_[6394] = 0 - vX_[6840];
+ vX_[6842] = vX_[6855] * vX_[569] + vX_[6842] * vX_[517] + vX_[6854] * vX_[105] + vX_[6866] * vX_[142] +
+ vX_[416] * vX_[153] + vX_[6822] * vX_[134] + vX_[6817] * vX_[128] + vX_[6411] * vX_[125] +
+ vX_[6393] * vX_[566] + vX_[9110] * vX_[563] + vX_[6394] * vX_[516] + vX_[6854] * vX_[520];
+ vX_[6855] = vX_[4179] * -3.44;
+ vX_[2729] = vX_[4190] * 0.1466472;
+ vX_[6396] = vX_[4188] * 0.5824264;
+ vX_[2744] = 0 - vX_[6855] + vX_[2729] - vX_[6396];
+ vX_[6398] = vX_[4180] * vX_[153] + vX_[4179] * vX_[128] + vX_[4183] * vX_[125] + vX_[4186] * vX_[563] +
+ vX_[4188] * vX_[514];
+ vX_[3779] = vX_[5783] * vX_[751] + vX_[5804] * vX_[75] + vX_[2744] * vX_[4085] + vX_[3779] * vX_[4104] -
+ vX_[6398] * x_in[33];
+ vX_[4172] = vX_[5795] + vX_[4908] + vX_[4172] - vX_[6840] - vX_[6854];
+ vX_[4908] = 0 - vX_[4172];
+ vX_[4154] = vX_[4154] + vX_[4908] * vX_[127];
+ vX_[6835] = vX_[6835] + vX_[4172] * vX_[27];
+ vX_[5795] = 0 - vX_[416];
+ vX_[2730] = 0 - vX_[6817];
+ vX_[4914] = vX_[4897] + vX_[4914] + vX_[5756] + vX_[5672] - vX_[1366] - vX_[6408];
+ vX_[6409] = vX_[4914] - vX_[6409];
+ vX_[4897] = 0 - vX_[4142];
+ vX_[2717] = 0 - vX_[9110];
+ vX_[6399] = 0 - vX_[6854];
+ vX_[2252] = vX_[5659] - vX_[4167];
+ vX_[5784] = vX_[4159] + vX_[5784];
+ vX_[4159] = vX_[2252] * vX_[126] + vX_[5660] * vX_[1];
+ vX_[8322] = vX_[2252] * vX_[139] + vX_[5660] * vX_[126];
+ vX_[4208] = vX_[4204] * 0.1104774 + vX_[4206] * -0.0004405 + vX_[4208] * 0.025941;
+ vX_[5973] = (0 - vX_[4193]) * 8.81e-05;
+ vX_[3746] = vX_[5973] + vX_[3746];
+ vX_[4212] = vX_[4193] * -0.0004405 + vX_[4204] * -8.81e-05 + vX_[4212] * 0.000468;
+ vX_[3746] = vX_[4916] * vX_[4062] + vX_[3748] * vX_[4061] + vX_[5774] * vX_[4071] + vX_[4208] * vX_[4070] +
+ vX_[3746] * vX_[4053] + vX_[3746] * vX_[4053] + vX_[4212] * x_in[35];
+ vX_[5973] = vX_[5973] + vX_[5777];
+ vX_[4210] = vX_[4193] * -0.1104774 + vX_[4206] * 8.81e-05 + vX_[4210] * 0.026409;
+ vX_[5973] = vX_[7123] * vX_[4062] + vX_[6591] * vX_[1994] + vX_[4158] * vX_[4071] + vX_[4208] * vX_[4053] +
+ vX_[5973] * vX_[4070] + vX_[5973] * vX_[4070] - vX_[4210] * x_in[35];
+ vX_[4208] = vX_[4195] * 0.47422804 + vX_[4196] * 0.0825825 + vX_[4203] * 0.081641 + (0 - vX_[4192]) * 2.1e-05 +
+ vX_[4201] * -0.000102;
+ vX_[6591] = (0 - vX_[4203]) * -0.007418;
+ vX_[6639] = vX_[6608] + vX_[6591] - vX_[6639];
+ vX_[6608] =
+ vX_[4191] * vX_[69] + vX_[4195] * vX_[85] + vX_[4196] * vX_[74] + vX_[4192] * vX_[117] + vX_[4201] * vX_[113];
+ vX_[6639] = vX_[7246] * -0.35 + vX_[3746] * vX_[7] + vX_[5973] * vX_[51] + vX_[7256] * vX_[4064] +
+ vX_[3815] * vX_[4091] + vX_[5753] * vX_[4082] + vX_[4208] * vX_[4074] + vX_[6639] * vX_[4072] +
+ vX_[6639] * vX_[4072] + vX_[6608] * x_in[34];
+ vX_[6591] = vX_[3751] - vX_[6591] - vX_[5763];
+ vX_[5763] =
+ vX_[4191] * vX_[82] + vX_[4195] * vX_[86] + vX_[4196] * vX_[80] + vX_[4192] * vX_[111] + vX_[4201] * vX_[117];
+ vX_[6591] = vX_[3746] * vX_[52] + vX_[5973] * vX_[7] + vX_[7523] * vX_[4064] + vX_[7126] * vX_[4066] +
+ vX_[5796] * vX_[4082] + vX_[4208] * vX_[4072] + vX_[6591] * vX_[4074] + vX_[6591] * vX_[4074] -
+ vX_[5763] * x_in[34];
+ vX_[6396] = vX_[6855] - vX_[2729] + vX_[6396];
+ vX_[2729] = vX_[4180] * 0.1466472 + vX_[4183] * 0.5824264 + vX_[4190] * -5.1e-05 + (0 - vX_[4186]) * -0.123672 +
+ (0 - vX_[4188]) * -3.6e-05;
+ vX_[6855] = vX_[4186] * -0.022734;
+ vX_[6837] = vX_[1825] - vX_[6837] - vX_[6855];
+ vX_[1825] =
+ vX_[4180] * vX_[96] + vX_[4179] * vX_[563] + vX_[4183] * vX_[515] + vX_[4186] * vX_[513] + vX_[4188] * vX_[565];
+ vX_[6837] = vX_[6639] * vX_[4] + vX_[6591] * vX_[75] + vX_[6396] * vX_[4095] + vX_[1480] * vX_[4096] +
+ vX_[2729] * vX_[4085] + vX_[1891] * vX_[4104] + vX_[6837] * vX_[4092] + vX_[6837] * vX_[4092] -
+ vX_[1825] * x_in[33];
+ vX_[4239] = vX_[4239] * vX_[1986];
+ vX_[4240] = vX_[4240] * vX_[1986];
+ vX_[1891] = vX_[4239] * vX_[7] + vX_[4240] * vX_[51];
+ vX_[4241] = vX_[4241] * vX_[1986];
+ vX_[4211] = vX_[4211] * vX_[1975];
+ vX_[1480] = vX_[4211] * vX_[7];
+ vX_[4208] = vX_[4211] * vX_[51];
+ vX_[4227] = vX_[4227] * vX_[1993];
+ vX_[7126] = vX_[4227] * vX_[51];
+ vX_[4213] = vX_[4213] * vX_[1975];
+ vX_[5796] = vX_[4213] * vX_[7];
+ vX_[7523] = 0 - vX_[5796];
+ vX_[3751] = vX_[4213] * vX_[51];
+ vX_[3815] = 0 - vX_[4208];
+ vX_[5753] = 0 - vX_[4227];
+ vX_[7256] = vX_[5753] * vX_[7];
+ vX_[4228] = vX_[4228] * vX_[1993];
+ vX_[7246] = 0 - vX_[4228];
+ vX_[4158] = vX_[7246] * vX_[51];
+ vX_[7123] = vX_[4228] * vX_[7];
+ vX_[4215] = vX_[4215] * vX_[1983];
+ vX_[4206] = vX_[4239] + vX_[4215];
+ vX_[4216] = vX_[4216] * vX_[1983];
+ vX_[4193] = 0 - vX_[4240] - vX_[4216];
+ vX_[5777] = vX_[4206] * vX_[51] + vX_[4193] * vX_[7];
+ vX_[3748] = vX_[4215] * vX_[7] + vX_[4216] * vX_[51];
+ vX_[4233] = vX_[4233] * vX_[1993] + vX_[4221] * vX_[1975];
+ vX_[4221] = 0 - vX_[4233];
+ vX_[5774] = 0 - vX_[4233];
+ vX_[4916] = vX_[5774] * vX_[7];
+ vX_[4204] = vX_[4233] * vX_[51];
+ vX_[2712] = vX_[4234] * vX_[893] + vX_[4466] * vX_[845] + vX_[4475] * vX_[877];
+ vX_[459] = 0 - vX_[2712];
+ vX_[8676] = vX_[4234] * vX_[985] + vX_[4466] * vX_[878] + vX_[4475] * vX_[839];
+ vX_[9256] = vX_[459] * x_in[18] + vX_[8676] * x_in[19];
+ vX_[2333] = 0 - vX_[9256];
+ vX_[9104] = 0 - vX_[9256];
+ vX_[9196] = vX_[9104] * vX_[7];
+ vX_[6024] = vX_[9256] * vX_[51];
+ vX_[4234] = vX_[4234] * vX_[875] + vX_[4466] * vX_[894] + vX_[4475] * vX_[986];
+ jac[1248] = vX_[3799] * vX_[3967] + vX_[3823] * vX_[4066] + vX_[5763] * vX_[3980] + vX_[6608] * vX_[4072] +
+ vX_[6589] + vX_[4234] * vX_[899] + vX_[2712] * vX_[851] + vX_[8676] * vX_[884];
+ jac[1284] = vX_[5747] * vX_[1988] + vX_[6666] * vX_[1994] + vX_[4210] * vX_[988] + vX_[4212] * vX_[4053] +
+ vX_[5745] + vX_[4234] * vX_[908] + vX_[2712] * vX_[862] + vX_[8676] * vX_[881];
+ vX_[4210] = vX_[4234] * x_in[35];
+ vX_[4212] = vX_[4210] * vX_[7];
+ vX_[5747] = vX_[4210] * vX_[51];
+ vX_[6666] = vX_[4234] * x_in[34];
+ vX_[5745] = vX_[6666] * vX_[51];
+ vX_[5763] = vX_[2712] * x_in[33];
+ vX_[6608] = vX_[6666] * vX_[7];
+ vX_[3799] = vX_[5763] * vX_[7];
+ vX_[3823] = vX_[5763] * vX_[51];
+ vX_[6589] = vX_[4245] * vX_[940];
+ vX_[4475] = 0 - vX_[6589];
+ vX_[4466] = 0 - vX_[6589];
+ vX_[26] = vX_[4466] * vX_[7];
+ vX_[5993] = vX_[6589] * vX_[51];
+ vX_[5800] = 0 - vX_[5800];
+ vX_[6017] = vX_[8322] + vX_[4161];
+ vX_[6390] = 0 - vX_[4154];
+ vX_[6391] = 0 - vX_[6835];
+ vX_[4914] = 0 - vX_[4914] + vX_[6703];
+ vX_[6703] = 0 - vX_[6825];
+ vX_[4205] = vX_[4205] * vX_[1975];
+ vX_[6425] = vX_[4205] * vX_[51];
+ vX_[4207] = vX_[4207] * vX_[1975];
+ vX_[6452] = vX_[4207] * vX_[7];
+ vX_[4209] = vX_[4209] * vX_[1975];
+ vX_[4226] = vX_[4226] * vX_[1993];
+ vX_[4242] = vX_[4242] * vX_[1986];
+ vX_[6427] = vX_[4242] * vX_[7];
+ vX_[6426] = vX_[4242] * vX_[51];
+ vX_[4231] = vX_[4231] * vX_[810];
+ vX_[6432] = vX_[4231] * vX_[51];
+ vX_[4243] = vX_[4243] * vX_[1986];
+ vX_[6433] = vX_[4243] * vX_[7];
+ vX_[2294] = 0 - vX_[6433];
+ vX_[2297] = vX_[4243] * vX_[51];
+ vX_[2303] = 0 - vX_[4205] - vX_[4231];
+ vX_[4232] = vX_[4232] * vX_[810];
+ vX_[453] = 0 - vX_[4207] - vX_[4232];
+ vX_[2342] = vX_[2303] * vX_[7] + vX_[453] * vX_[51];
+ vX_[2329] = vX_[4232] * vX_[7];
+ vX_[4229] = vX_[4229] * vX_[1993] + vX_[4220] * vX_[1986];
+ vX_[4220] = vX_[4229] * vX_[7];
+ vX_[2330] = vX_[4229] * vX_[51];
+ vX_[2318] = 0 - vX_[8676];
+ vX_[6437] = vX_[4234] * x_in[18] + vX_[2318] * x_in[20];
+ vX_[6440] = vX_[6437] * vX_[7];
+ vX_[2295] = vX_[6437] * vX_[51];
+ vX_[4138] = vX_[4234] * x_in[33];
+ vX_[6451] = vX_[2712] * x_in[35];
+ vX_[6439] = 0 - vX_[6451];
+ vX_[6450] = vX_[6439] * vX_[7];
+ vX_[2307] = vX_[6451] * vX_[51];
+ vX_[6413] = vX_[2712] * x_in[34];
+ vX_[2334] = 0 - vX_[6413];
+ vX_[6628] = vX_[4138] * vX_[7];
+ vX_[9313] = 0 - vX_[6413];
+ vX_[2742] = vX_[9313] * vX_[7];
+ vX_[8279] = vX_[4138] * vX_[51];
+ vX_[6418] = vX_[6413] * vX_[51];
+ vX_[9223] = vX_[4245] * vX_[929];
+ vX_[8685] = vX_[9223] * vX_[7];
+ vX_[6412] = vX_[9223] * vX_[51];
+ jac[564] =
+ 0 -
+ (vX_[4160] * vX_[776] + vX_[4147] * vX_[957] + vX_[6699] * vX_[699] + vX_[5660] * vX_[701] +
+ vX_[4156] * vX_[142] + vX_[4161] * vX_[389] + vX_[5572] * vX_[125] + vX_[3744] * vX_[674] +
+ vX_[4651] * vX_[150] + vX_[5672] * vX_[643] + vX_[4148] * vX_[642] + vX_[4157] * vX_[639] +
+ vX_[4166] * vX_[159] + vX_[4155] * vX_[573] + vX_[5676] * vX_[575] + vX_[4883] * vX_[623] +
+ vX_[4151] * vX_[519] + vX_[4923] * vX_[570] + vX_[9376] * x_in[22] + vX_[7420] * x_in[19] +
+ (vX_[4152] * vX_[776] + vX_[6842] * vX_[139] + vX_[9376] * x_in[20]) * -0.3735 -
+ (vX_[4162] * vX_[4079] + vX_[3779] * x_in[23]) + (vX_[4147] * vX_[4079] + vX_[3779] * x_in[19]) * -0.3735 +
+ (vX_[4178] * vX_[4079] + vX_[6829] * vX_[517] + vX_[6825] * vX_[569] + vX_[4172] * vX_[152] +
+ vX_[9092] * vX_[154] + vX_[4154] * vX_[125] + vX_[6835] * vX_[134] + vX_[5795] * vX_[137] +
+ vX_[2730] * vX_[153] + vX_[6409] * vX_[142] + vX_[4897] * vX_[515] + vX_[6825] * vX_[566] +
+ vX_[2717] * vX_[96] + vX_[6399] * vX_[522] + vX_[3779] * x_in[18]) *
+ 0.207 -
+ (vX_[4152] * vX_[951] + vX_[2252] * vX_[698] + vX_[5784] * vX_[684] + vX_[4159] * vX_[125] +
+ vX_[8322] * vX_[271] + vX_[4168] * vX_[640] + vX_[4905] * vX_[160] + vX_[5756] * vX_[675] +
+ vX_[6819] * vX_[641] + vX_[4153] * vX_[568] + vX_[4165] * vX_[149] + vX_[6860] * vX_[572] +
+ vX_[4937] * vX_[622] + vX_[1148] * vX_[570] + vX_[6843] * vX_[523] + vX_[6842] * vX_[140] +
+ vX_[6837] * x_in[20]) +
+ vX_[4194] * vX_[1975] + vX_[4230] * vX_[810] + vX_[1891] * vX_[9] + (0 - vX_[4241]) * 0.3735 +
+ vX_[4241] * vX_[9] * -0.35 + vX_[1480] * 0.35 + vX_[1480] * vX_[75] * 0.08 + vX_[1480] * vX_[9] * 0.3735 +
+ vX_[4208] * vX_[75] * 0.3735 + vX_[7126] * vX_[75] * -0.207 + vX_[7523] * vX_[75] * 0.3735 +
+ vX_[3751] * 0.35 + (vX_[3815] * vX_[9] + vX_[3751] * vX_[75]) * 0.08 + vX_[3751] * vX_[9] * 0.3735 +
+ (vX_[7256] * vX_[9] + vX_[4158] * vX_[9]) * 0.207 + vX_[7123] * vX_[75] * 0.207 + vX_[5777] * vX_[75] +
+ vX_[3748] * vX_[9] + (vX_[5796] * vX_[9] - vX_[4233]) * 0.08 + vX_[4221] * vX_[75] * 0.35 +
+ vX_[4916] * vX_[75] * 0.33 + vX_[4204] * vX_[9] * 0.33 + (0 - vX_[9256]) * 0.08 +
+ vX_[2333] * vX_[75] * 0.35 + vX_[9196] * vX_[75] * 0.33 + vX_[6024] * vX_[9] * 0.33 +
+ vX_[4212] * vX_[9] * 0.33 + vX_[5747] * vX_[75] * 0.33 + vX_[6666] * vX_[9] * 0.35 +
+ vX_[5745] * vX_[75] * 0.33 + vX_[5763] * 0.08 + vX_[5763] * vX_[75] * 0.35 +
+ (vX_[6608] * vX_[9] + vX_[3799] * vX_[75]) * 0.33 + vX_[3823] * vX_[9] * -0.33 + (0 - vX_[6589]) * 0.08 +
+ vX_[4475] * vX_[75] * 0.35 + vX_[26] * vX_[75] * 0.33 + vX_[5993] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[4162] * vX_[776] + vX_[4160] * vX_[4079] + vX_[4152] * vX_[957] + vX_[4147] * vX_[951] +
+ vX_[2252] * vX_[701] + vX_[6699] * vX_[697] + vX_[5660] * vX_[698] + vX_[5784] * vX_[142] +
+ vX_[5800] * vX_[684] + vX_[4159] * vX_[389] + vX_[6017] * vX_[125] + vX_[5572] * vX_[271] +
+ vX_[3744] * vX_[675] + vX_[4168] * vX_[643] + vX_[4905] * vX_[150] + vX_[4651] * vX_[160] +
+ vX_[5756] * vX_[674] + vX_[5672] * vX_[640] + vX_[6819] * vX_[642] + vX_[4153] * vX_[639] +
+ vX_[4148] * vX_[641] + vX_[4157] * vX_[568] + vX_[4165] * vX_[159] + vX_[4166] * vX_[149] +
+ vX_[6860] * vX_[575] + vX_[4155] * vX_[571] + vX_[5676] * vX_[572] + vX_[4937] * vX_[623] +
+ vX_[4906] * vX_[622] + vX_[1148] * vX_[519] + vX_[1424] * vX_[570] + vX_[4923] * vX_[523] +
+ vX_[6842] * vX_[138] +
+ (vX_[4142] * vX_[567] + vX_[1598] * vX_[105] + vX_[9110] * vX_[154] + vX_[4908] * vX_[129] +
+ vX_[6840] * vX_[143] + vX_[6390] * vX_[128] + vX_[6867] * vX_[137] + vX_[6391] * vX_[125] +
+ vX_[6823] * vX_[142] + vX_[4914] * vX_[153] + vX_[4142] * vX_[563] + vX_[6703] * vX_[514] +
+ vX_[9110] * vX_[158] + vX_[6840] * vX_[511]) *
+ 0.207 +
+ vX_[9376] * x_in[23] + vX_[3779] * x_in[22] + vX_[7420] * x_in[20] + vX_[6837] * x_in[19] +
+ (vX_[4147] * vX_[776] + vX_[6842] * vX_[126] + vX_[9376] * x_in[19]) * 0.3735 +
+ (vX_[4178] * vX_[776] + vX_[9376] * x_in[18]) * -0.207 +
+ (vX_[4152] * vX_[4079] + vX_[3779] * x_in[20]) * -0.3735 + vX_[4238] * vX_[1986] + vX_[4214] * vX_[1983] -
+ vX_[6425] * vX_[75] + vX_[6452] * vX_[75] + vX_[4209] * 0.3735 + vX_[4209] * vX_[9] * 0.35 +
+ (0 - vX_[4226]) * 0.207 + vX_[6427] * 0.35 + vX_[6427] * vX_[75] * 0.08 + vX_[6427] * vX_[9] * 0.3735 +
+ vX_[6426] * vX_[75] * 0.3735 + (0 - vX_[6426] * vX_[9]) * 0.08 - vX_[6432] * vX_[75] +
+ vX_[2294] * vX_[75] * 0.3735 + vX_[6433] * vX_[9] * 0.08 + vX_[2297] * 0.35 + vX_[2297] * vX_[75] * 0.08 +
+ vX_[2297] * vX_[9] * 0.3735 + vX_[2342] * vX_[9] + vX_[2329] * vX_[75] + vX_[4229] * 0.08 +
+ vX_[4229] * vX_[75] * 0.35 + vX_[4220] * vX_[75] * 0.33 + vX_[2330] * vX_[9] * -0.33 + vX_[6437] * 0.08 +
+ vX_[6437] * vX_[75] * 0.35 + vX_[6440] * vX_[75] * 0.33 + vX_[2295] * vX_[9] * -0.33 + vX_[4138] * 0.08 +
+ vX_[4138] * vX_[75] * 0.35 + vX_[6450] * vX_[9] * 0.33 + vX_[2307] * vX_[75] * -0.33 +
+ vX_[2334] * vX_[9] * 0.35 + (vX_[6628] * vX_[75] + vX_[2742] * vX_[9]) * 0.33 +
+ (vX_[8279] * vX_[9] + vX_[6418] * vX_[75]) * -0.33 + vX_[9223] * 0.08 + vX_[9223] * vX_[75] * 0.35 +
+ vX_[8685] * vX_[75] * 0.33 + vX_[6412] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[2252] = vX_[4163] - vX_[4596];
+ vX_[4811] = vX_[4590] + vX_[4811];
+ vX_[3753] = vX_[4585] + vX_[3753];
+ vX_[4585] = 0 - vX_[3753];
+ vX_[4590] = vX_[2252] * vX_[1];
+ vX_[4908] = vX_[2252] * vX_[126];
+ vX_[4824] = vX_[4587] + vX_[4824];
+ vX_[2842] = vX_[2845] + vX_[2842];
+ vX_[4828] = vX_[4586] + vX_[4828];
+ vX_[4597] = vX_[4577] + vX_[4597];
+ vX_[4577] = vX_[4597] * vX_[126] + vX_[4828] * vX_[1];
+ vX_[4586] = vX_[4597] * vX_[139] + vX_[4828] * vX_[126];
+ vX_[2826] = vX_[4146] + vX_[2826];
+ vX_[4595] = 0 - (vX_[4584] + vX_[4595]) + vX_[2826];
+ vX_[4584] = vX_[2862] - vX_[4601];
+ vX_[4756] = vX_[4580] + vX_[4756];
+ vX_[2832] = vX_[2833] + vX_[2832];
+ vX_[2833] = 0 - vX_[2832];
+ vX_[4580] = vX_[4584] * vX_[1];
+ vX_[4146] = vX_[4584] * vX_[126];
+ vX_[2845] = vX_[4635] * 0.881 + (0 - vX_[4637]) * -0.0004405 + vX_[4639] * 8.81e-05;
+ vX_[4587] = vX_[4633] * -0.881;
+ vX_[4172] = vX_[4637] * 0.1104774;
+ vX_[6842] = vX_[4641] * 8.81e-05;
+ vX_[1598] = vX_[4587] - vX_[4172] + vX_[6842];
+ vX_[6819] = vX_[2845] * vX_[4053] + vX_[1598] * vX_[4070];
+ vX_[6829] = vX_[4625] * 3.146 + (0 - vX_[4632]) * 0.0825825;
+ vX_[4906] = vX_[4624] * -3.146;
+ vX_[4937] = vX_[4632] * 0.47422804;
+ vX_[4153] = vX_[4906] - vX_[4937];
+ vX_[5756] = vX_[6819] + vX_[6829] * vX_[4072] + vX_[4153] * vX_[4074];
+ vX_[9092] = vX_[4612] * 3.44 + vX_[4615] * 0.5824264;
+ vX_[4165] = 0 - vX_[9092];
+ vX_[1424] = vX_[4609] * 3.44 + (0 - vX_[4615]) * 0.1466472;
+ vX_[6843] = vX_[4609] * vX_[142] + vX_[4608] * vX_[125] + vX_[4612] * vX_[134] + vX_[4615] * vX_[515] +
+ vX_[4617] * vX_[566];
+ vX_[1148] = vX_[5756] + vX_[4165] * vX_[4085] + vX_[1424] * vX_[4092] + vX_[6843] * x_in[33];
+ vX_[6860] = 0 - vX_[2845];
+ vX_[6842] = 0 - vX_[4587] + vX_[4172] - vX_[6842];
+ vX_[4172] = vX_[4622] * -0.0004405 + vX_[4633] * 8.81e-05 + vX_[4641] * -0.000227999999999999;
+ vX_[4587] = vX_[4622] * 0.1104774 + vX_[4635] * 8.81e-05 + (0 - vX_[4639]) * 0.025713;
+ vX_[4923] = (0 - vX_[4633]) * -0.0004405;
+ vX_[4151] = (0 - vX_[4635]) * 0.1104774;
+ vX_[4883] = vX_[4923] + vX_[4151];
+ vX_[4883] = vX_[6860] * vX_[1994] + vX_[6842] * vX_[4061] + vX_[4172] * vX_[4053] + vX_[4587] * vX_[4070] +
+ vX_[4883] * vX_[4071] + vX_[4883] * vX_[4071];
+ vX_[5676] = vX_[4622] * 0.881 + (0 - vX_[4639]) * 0.1104774 + vX_[4641] * -0.0004405;
+ vX_[4155] = vX_[4633] * -0.00185880198235362 + vX_[4635] * 0.880992588508842 + vX_[4639] * 8.81e-05;
+ vX_[6860] = vX_[6860] * vX_[4071] + vX_[5676] * vX_[4070] + vX_[4155] * x_in[35];
+ vX_[4166] = 0 - vX_[5676];
+ vX_[4905] = vX_[4633] * 0.414812462825713 + vX_[4635] * -0.00185880198235362 + vX_[4641] * -8.81e-05;
+ vX_[6842] = vX_[6842] * vX_[4071] + vX_[4166] * vX_[4053] - vX_[4905] * x_in[35];
+ vX_[4157] = 0 - vX_[6829];
+ vX_[4937] = 0 - vX_[4906] + vX_[4937];
+ vX_[4906] = vX_[4620] * 0.0825825 + (0 - vX_[4632]) * -0.000102 + vX_[4621] * -0.007418 + vX_[4630] * 0.002735;
+ vX_[4148] = vX_[4620] * 0.47422804 + vX_[4632] * 2.1e-05 + (0 - vX_[4621]) * 0.084376 + (0 - vX_[4630]) * -0.007418;
+ vX_[4168] = (0 - vX_[4624]) * 0.0825825;
+ vX_[5672] = (0 - vX_[4625]) * 0.47422804;
+ vX_[4651] = vX_[4621] * -0.000102;
+ vX_[3744] = (0 - vX_[4630]) * 2.1e-05;
+ vX_[5660] = vX_[4168] + vX_[5672] + vX_[4651] + vX_[3744];
+ vX_[5660] = vX_[4883] + vX_[6860] * vX_[764] + vX_[6842] * vX_[54] + vX_[4157] * vX_[4066] + vX_[4937] * vX_[4091] +
+ vX_[4906] * vX_[4072] + vX_[4148] * vX_[4074] + vX_[5660] * vX_[4082] + vX_[5660] * vX_[4082];
+ vX_[6699] = vX_[4620] * 3.146 + (0 - vX_[4621]) * 0.47422804 + vX_[4630] * 0.0825825;
+ vX_[4238] = vX_[4624] * vX_[102] + vX_[4625] * vX_[101] + vX_[4621] * vX_[80] + vX_[4630] * vX_[74];
+ vX_[4157] =
+ vX_[6860] * vX_[7] + vX_[6842] * vX_[51] + vX_[4157] * vX_[4082] + vX_[6699] * vX_[4074] + vX_[4238] * x_in[34];
+ vX_[4230] = 0 - vX_[6699];
+ vX_[4214] = vX_[4624] * vX_[100] + vX_[4625] * vX_[102] + vX_[4621] * vX_[86] + vX_[4630] * vX_[85];
+ vX_[4937] = vX_[6860] * vX_[756] + vX_[6842] * vX_[7] + vX_[4937] * vX_[4082] + vX_[4230] * vX_[4072] -
+ vX_[4214] * x_in[34];
+ vX_[4194] = 0 - vX_[1424];
+ vX_[6441] = vX_[4608] * 0.5824264 + (0 - vX_[4619]) * -0.022734 + vX_[4615] * -3.6e-05 + vX_[4617] * -0.133138;
+ vX_[3297] = vX_[4608] * 0.1466472 + vX_[4619] * 0.009466 + (0 - vX_[4615]) * -5.1e-05 + vX_[4617] * -0.022734;
+ vX_[6424] = (0 - vX_[4609]) * 0.5824264;
+ vX_[2287] = (0 - vX_[4612]) * 0.1466472;
+ vX_[2713] = (0 - vX_[4619]) * -3.6e-05;
+ vX_[6436] = (0 - vX_[4617]) * -5.1e-05;
+ vX_[6421] = vX_[6424] + vX_[2287] + vX_[2713] - vX_[6436];
+ vX_[6423] = vX_[4609] * vX_[158] + vX_[4608] * vX_[514] + vX_[4612] * vX_[566] + vX_[4615] * vX_[565] +
+ vX_[4617] * vX_[122];
+ vX_[6421] = vX_[5660] + vX_[4157] * vX_[752] + vX_[4937] * vX_[93] + vX_[9092] * vX_[4095] + vX_[4194] * vX_[3880] +
+ vX_[6441] * vX_[4085] + vX_[3297] * vX_[4092] + vX_[6421] * vX_[4104] + vX_[6421] * vX_[4104] +
+ vX_[6423] * x_in[33];
+ vX_[6435] = vX_[4170] - vX_[4601];
+ vX_[6419] = vX_[6435] * vX_[126] + vX_[4756] * vX_[1];
+ vX_[6448] = vX_[6435] * vX_[139] + vX_[4756] * vX_[126];
+ vX_[6447] = vX_[6448] + vX_[4580];
+ vX_[6416] = vX_[6419] * vX_[139] + vX_[6447] * vX_[126] + vX_[4146] * vX_[1];
+ vX_[9087] = 0 - vX_[6416];
+ vX_[8715] = vX_[4601] + vX_[6419] * vX_[126] + vX_[4580] * vX_[1];
+ vX_[2741] = 0 - vX_[8715];
+ vX_[6405] = vX_[4601] + vX_[6448] * vX_[139] + vX_[4146] * vX_[126];
+ vX_[4594] = vX_[4583] + vX_[4594] - vX_[2842];
+ vX_[4583] = vX_[2826] * vX_[126] + vX_[2842] * vX_[1];
+ vX_[6410] = 0 - (vX_[4594] * vX_[139] + vX_[4595] * vX_[126]) + vX_[4583];
+ vX_[6404] = vX_[6410] + vX_[8715] * vX_[127];
+ vX_[6403] = 0 - vX_[6404];
+ vX_[6400] = vX_[2826] * vX_[139] + vX_[2842] * vX_[126];
+ vX_[6407] = vX_[4594] * vX_[126] + vX_[4595] * vX_[1] + vX_[6400];
+ vX_[6406] = 0 - vX_[6405];
+ vX_[4938] = vX_[6407] + vX_[6416] * vX_[127] + vX_[6406] * vX_[27];
+ vX_[4812] = vX_[4582] + vX_[4812];
+ vX_[4582] = vX_[4824] * vX_[126] + vX_[4812] * vX_[139];
+ vX_[2735] = vX_[4582] * vX_[126] + vX_[4586] * vX_[1];
+ vX_[4433] = vX_[4560] + vX_[4433];
+ vX_[2832] = 0 - vX_[2832];
+ vX_[4560] = vX_[4433] * vX_[139] + vX_[2832] * vX_[126];
+ vX_[5336] = 0 - vX_[4560];
+ vX_[9117] = vX_[2735] + vX_[5336] * vX_[27] + vX_[2741] * vX_[141];
+ vX_[5979] = 0 - vX_[9117];
+ vX_[5980] = vX_[4824] * vX_[1] + vX_[4812] * vX_[126];
+ vX_[5982] = vX_[5980] * vX_[139] + vX_[4577] * vX_[126];
+ vX_[5964] = vX_[4433] * vX_[126] + vX_[2833] * vX_[1];
+ vX_[5965] = 0 - vX_[5964];
+ vX_[8288] = vX_[5982] + vX_[5965] * vX_[127] + vX_[6405] * vX_[141];
+ vX_[5967] = vX_[5980] * vX_[126] + vX_[4577] * vX_[1];
+ vX_[3079] = vX_[5967] + vX_[4560] * vX_[127];
+ vX_[5969] = vX_[4582] * vX_[139] + vX_[4586] * vX_[126];
+ vX_[7441] = vX_[5969] + vX_[5964] * vX_[27] + vX_[9087] * vX_[141];
+ vX_[3114] = 0 - vX_[3079] + vX_[7441];
+ vX_[5970] = 0 - vX_[6416];
+ vX_[3172] = 0 - vX_[8715];
+ vX_[2741] = vX_[9087] * vX_[569] + vX_[2741] * vX_[517] + vX_[6405] * vX_[105] + vX_[6403] * vX_[142] +
+ vX_[4938] * vX_[153] + vX_[5979] * vX_[134] + vX_[8288] * vX_[128] + vX_[3114] * vX_[125] +
+ vX_[5970] * vX_[566] + vX_[6416] * vX_[563] + vX_[3172] * vX_[516] + vX_[6405] * vX_[520];
+ vX_[9087] = vX_[4608] * -3.44;
+ vX_[4766] = vX_[4619] * 0.1466472;
+ vX_[5544] = vX_[4617] * 0.5824264;
+ vX_[2608] = 0 - vX_[9087] + vX_[4766] - vX_[5544];
+ vX_[2457] = vX_[4609] * vX_[153] + vX_[4608] * vX_[128] + vX_[4612] * vX_[125] + vX_[4615] * vX_[563] +
+ vX_[4617] * vX_[514];
+ vX_[4194] = vX_[4157] * vX_[751] + vX_[4937] * vX_[75] + vX_[2608] * vX_[4085] + vX_[4194] * vX_[4104] -
+ vX_[2457] * x_in[33];
+ vX_[4601] = vX_[4170] + vX_[2862] + vX_[4601] - vX_[8715] - vX_[6405];
+ vX_[2862] = 0 - vX_[4601];
+ vX_[4583] = vX_[4583] + vX_[2862] * vX_[127];
+ vX_[6400] = vX_[6400] + vX_[4601] * vX_[27];
+ vX_[4170] = 0 - vX_[4938];
+ vX_[9155] = 0 - vX_[8288];
+ vX_[2837] = vX_[2841] + vX_[2837] + vX_[4812] + vX_[4828] - vX_[5967] - vX_[5969];
+ vX_[7441] = vX_[2837] - vX_[7441];
+ vX_[2841] = 0 - vX_[4560];
+ vX_[7825] = 0 - vX_[6416];
+ vX_[9179] = 0 - vX_[6405];
+ vX_[7855] = vX_[4751] - vX_[4596];
+ vX_[4034] = vX_[4588] + vX_[4034];
+ vX_[4588] = vX_[7855] * vX_[126] + vX_[4811] * vX_[1];
+ vX_[3162] = vX_[7855] * vX_[139] + vX_[4811] * vX_[126];
+ vX_[4637] = vX_[4633] * 0.1104774 + vX_[4635] * -0.0004405 + vX_[4637] * 0.025941;
+ vX_[5595] = (0 - vX_[4622]) * 8.81e-05;
+ vX_[4151] = vX_[5595] + vX_[4151];
+ vX_[4641] = vX_[4622] * -0.0004405 + vX_[4633] * -8.81e-05 + vX_[4641] * 0.000468;
+ vX_[4151] = vX_[2845] * vX_[4062] + vX_[4166] * vX_[4061] + vX_[4172] * vX_[4071] + vX_[4637] * vX_[4070] +
+ vX_[4151] * vX_[4053] + vX_[4151] * vX_[4053] + vX_[4641] * x_in[35];
+ vX_[5595] = vX_[5595] + vX_[4923];
+ vX_[4639] = vX_[4622] * -0.1104774 + vX_[4635] * 8.81e-05 + vX_[4639] * 0.026409;
+ vX_[5595] = vX_[1598] * vX_[4062] + vX_[5676] * vX_[1994] + vX_[4587] * vX_[4071] + vX_[4637] * vX_[4053] +
+ vX_[5595] * vX_[4070] + vX_[5595] * vX_[4070] - vX_[4639] * x_in[35];
+ vX_[4637] = vX_[4624] * 0.47422804 + vX_[4625] * 0.0825825 + vX_[4632] * 0.081641 + (0 - vX_[4621]) * 2.1e-05 +
+ vX_[4630] * -0.000102;
+ vX_[5676] = (0 - vX_[4632]) * -0.007418;
+ vX_[3744] = vX_[5672] + vX_[5676] - vX_[3744];
+ vX_[5672] =
+ vX_[4620] * vX_[69] + vX_[4624] * vX_[85] + vX_[4625] * vX_[74] + vX_[4621] * vX_[117] + vX_[4630] * vX_[113];
+ vX_[3744] = vX_[6819] * -0.35 + vX_[4151] * vX_[7] + vX_[5595] * vX_[51] + vX_[6829] * vX_[4064] +
+ vX_[4230] * vX_[4091] + vX_[4906] * vX_[4082] + vX_[4637] * vX_[4074] + vX_[3744] * vX_[4072] +
+ vX_[3744] * vX_[4072] + vX_[5672] * x_in[34];
+ vX_[5676] = vX_[4168] - vX_[5676] - vX_[4651];
+ vX_[4651] =
+ vX_[4620] * vX_[82] + vX_[4624] * vX_[86] + vX_[4625] * vX_[80] + vX_[4621] * vX_[111] + vX_[4630] * vX_[117];
+ vX_[5676] = vX_[4151] * vX_[52] + vX_[5595] * vX_[7] + vX_[4153] * vX_[4064] + vX_[6699] * vX_[4066] +
+ vX_[4148] * vX_[4082] + vX_[4637] * vX_[4072] + vX_[5676] * vX_[4074] + vX_[5676] * vX_[4074] -
+ vX_[4651] * x_in[34];
+ vX_[5544] = vX_[9087] - vX_[4766] + vX_[5544];
+ vX_[4766] = vX_[4609] * 0.1466472 + vX_[4612] * 0.5824264 + vX_[4619] * -5.1e-05 + (0 - vX_[4615]) * -0.123672 +
+ (0 - vX_[4617]) * -3.6e-05;
+ vX_[9087] = vX_[4615] * -0.022734;
+ vX_[2713] = vX_[6424] - vX_[2713] - vX_[9087];
+ vX_[6424] =
+ vX_[4609] * vX_[96] + vX_[4608] * vX_[563] + vX_[4612] * vX_[515] + vX_[4615] * vX_[513] + vX_[4617] * vX_[565];
+ vX_[2713] = vX_[3744] * vX_[4] + vX_[5676] * vX_[75] + vX_[5544] * vX_[4095] + vX_[1424] * vX_[4096] +
+ vX_[4766] * vX_[4085] + vX_[3297] * vX_[4104] + vX_[2713] * vX_[4092] + vX_[2713] * vX_[4092] -
+ vX_[6424] * x_in[33];
+ vX_[4668] = vX_[4668] * vX_[1986];
+ vX_[4669] = vX_[4669] * vX_[1986];
+ vX_[3297] = vX_[4668] * vX_[7] + vX_[4669] * vX_[51];
+ vX_[4670] = vX_[4670] * vX_[1986];
+ vX_[4640] = vX_[4640] * vX_[1975];
+ vX_[1424] = vX_[4640] * vX_[7];
+ vX_[4637] = vX_[4640] * vX_[51];
+ vX_[4656] = vX_[4656] * vX_[1993];
+ vX_[6699] = vX_[4656] * vX_[51];
+ vX_[4642] = vX_[4642] * vX_[1975];
+ vX_[4148] = vX_[4642] * vX_[7];
+ vX_[4153] = 0 - vX_[4148];
+ vX_[4168] = vX_[4642] * vX_[51];
+ vX_[4230] = 0 - vX_[4637];
+ vX_[4906] = 0 - vX_[4656];
+ vX_[6829] = vX_[4906] * vX_[7];
+ vX_[4657] = vX_[4657] * vX_[1993];
+ vX_[6819] = 0 - vX_[4657];
+ vX_[4587] = vX_[6819] * vX_[51];
+ vX_[1598] = vX_[4657] * vX_[7];
+ vX_[4644] = vX_[4644] * vX_[1983];
+ vX_[4635] = vX_[4668] + vX_[4644];
+ vX_[4645] = vX_[4645] * vX_[1983];
+ vX_[4622] = 0 - vX_[4669] - vX_[4645];
+ vX_[4923] = vX_[4635] * vX_[51] + vX_[4622] * vX_[7];
+ vX_[4166] = vX_[4644] * vX_[7] + vX_[4645] * vX_[51];
+ vX_[4662] = vX_[4662] * vX_[1993] + vX_[4650] * vX_[1975];
+ vX_[4650] = 0 - vX_[4662];
+ vX_[4172] = 0 - vX_[4662];
+ vX_[2845] = vX_[4172] * vX_[7];
+ vX_[4633] = vX_[4662] * vX_[51];
+ vX_[7409] = vX_[4663] * vX_[893] + vX_[4895] * vX_[845] + vX_[4904] * vX_[877];
+ vX_[5564] = 0 - vX_[7409];
+ vX_[5588] = vX_[4663] * vX_[985] + vX_[4895] * vX_[878] + vX_[4904] * vX_[839];
+ vX_[5961] = vX_[5564] * x_in[18] + vX_[5588] * x_in[19];
+ vX_[5962] = 0 - vX_[5961];
+ vX_[5996] = 0 - vX_[5961];
+ vX_[6023] = vX_[5996] * vX_[7];
+ vX_[5998] = vX_[5961] * vX_[51];
+ vX_[4663] = vX_[4663] * vX_[875] + vX_[4895] * vX_[894] + vX_[4904] * vX_[986];
+ jac[1249] = vX_[4214] * vX_[3967] + vX_[4238] * vX_[4066] + vX_[4651] * vX_[3980] + vX_[5672] * vX_[4072] +
+ vX_[5660] + vX_[4663] * vX_[899] + vX_[7409] * vX_[851] + vX_[5588] * vX_[884];
+ jac[1285] = vX_[4905] * vX_[1988] + vX_[4155] * vX_[1994] + vX_[4639] * vX_[988] + vX_[4641] * vX_[4053] +
+ vX_[4883] + vX_[4663] * vX_[908] + vX_[7409] * vX_[862] + vX_[5588] * vX_[881];
+ vX_[4639] = vX_[4663] * x_in[35];
+ vX_[4641] = vX_[4639] * vX_[7];
+ vX_[4905] = vX_[4639] * vX_[51];
+ vX_[4155] = vX_[4663] * x_in[34];
+ vX_[4883] = vX_[4155] * vX_[51];
+ vX_[4651] = vX_[7409] * x_in[33];
+ vX_[5672] = vX_[4155] * vX_[7];
+ vX_[4214] = vX_[4651] * vX_[7];
+ vX_[4238] = vX_[4651] * vX_[51];
+ vX_[5660] = vX_[4674] * vX_[940];
+ vX_[4904] = 0 - vX_[5660];
+ vX_[4895] = 0 - vX_[5660];
+ vX_[5997] = vX_[4895] * vX_[7];
+ vX_[6003] = vX_[5660] * vX_[51];
+ vX_[3753] = 0 - vX_[3753];
+ vX_[6004] = vX_[3162] + vX_[4590];
+ vX_[7817] = 0 - vX_[4583];
+ vX_[2727] = 0 - vX_[6400];
+ vX_[2837] = 0 - vX_[2837] + vX_[3079];
+ vX_[3079] = 0 - vX_[5964];
+ vX_[4634] = vX_[4634] * vX_[1975];
+ vX_[2720] = vX_[4634] * vX_[51];
+ vX_[4636] = vX_[4636] * vX_[1975];
+ vX_[1620] = vX_[4636] * vX_[7];
+ vX_[4638] = vX_[4638] * vX_[1975];
+ vX_[4655] = vX_[4655] * vX_[1993];
+ vX_[4671] = vX_[4671] * vX_[1986];
+ vX_[2746] = vX_[4671] * vX_[7];
+ vX_[8660] = vX_[4671] * vX_[51];
+ vX_[4660] = vX_[4660] * vX_[810];
+ vX_[2857] = vX_[4660] * vX_[51];
+ vX_[4672] = vX_[4672] * vX_[1986];
+ vX_[8278] = vX_[4672] * vX_[7];
+ vX_[6008] = 0 - vX_[8278];
+ vX_[6011] = vX_[4672] * vX_[51];
+ vX_[9133] = 0 - vX_[4634] - vX_[4660];
+ vX_[4661] = vX_[4661] * vX_[810];
+ vX_[9167] = 0 - vX_[4636] - vX_[4661];
+ vX_[6022] = vX_[9133] * vX_[7] + vX_[9167] * vX_[51];
+ vX_[6010] = vX_[4661] * vX_[7];
+ vX_[4658] = vX_[4658] * vX_[1993] + vX_[4649] * vX_[1986];
+ vX_[4649] = vX_[4658] * vX_[7];
+ vX_[6021] = vX_[4658] * vX_[51];
+ vX_[2304] = 0 - vX_[5588];
+ vX_[5984] = vX_[4663] * x_in[18] + vX_[2304] * x_in[20];
+ vX_[419] = vX_[5984] * vX_[7];
+ vX_[6199] = vX_[5984] * vX_[51];
+ vX_[3169] = vX_[4663] * x_in[33];
+ vX_[3173] = vX_[7409] * x_in[35];
+ vX_[4530] = 0 - vX_[3173];
+ vX_[5989] = vX_[4530] * vX_[7];
+ vX_[3128] = vX_[3173] * vX_[51];
+ vX_[3120] = vX_[7409] * x_in[34];
+ vX_[5983] = 0 - vX_[3120];
+ vX_[6012] = vX_[3169] * vX_[7];
+ vX_[2055] = 0 - vX_[3120];
+ vX_[5995] = vX_[2055] * vX_[7];
+ vX_[3145] = vX_[3169] * vX_[51];
+ vX_[3174] = vX_[3120] * vX_[51];
+ vX_[6007] = vX_[4674] * vX_[929];
+ vX_[5992] = vX_[6007] * vX_[7];
+ vX_[5994] = vX_[6007] * vX_[51];
+ jac[565] =
+ 0 -
+ (vX_[4589] * vX_[776] + vX_[4576] * vX_[957] + vX_[2252] * vX_[699] + vX_[4811] * vX_[701] +
+ vX_[4585] * vX_[142] + vX_[4590] * vX_[389] + vX_[4908] * vX_[125] + vX_[4824] * vX_[674] +
+ vX_[2842] * vX_[150] + vX_[4828] * vX_[643] + vX_[4577] * vX_[642] + vX_[4586] * vX_[639] +
+ vX_[4595] * vX_[159] + vX_[4584] * vX_[573] + vX_[4756] * vX_[575] + vX_[2833] * vX_[623] +
+ vX_[4580] * vX_[519] + vX_[4146] * vX_[570] + vX_[1148] * x_in[22] + vX_[6421] * x_in[19] +
+ (vX_[4581] * vX_[776] + vX_[2741] * vX_[139] + vX_[1148] * x_in[20]) * -0.3735 -
+ (vX_[4591] * vX_[4079] + vX_[4194] * x_in[23]) + (vX_[4576] * vX_[4079] + vX_[4194] * x_in[19]) * -0.3735 +
+ (vX_[4607] * vX_[4079] + vX_[5336] * vX_[517] + vX_[5964] * vX_[569] + vX_[4601] * vX_[152] +
+ vX_[6406] * vX_[154] + vX_[4583] * vX_[125] + vX_[6400] * vX_[134] + vX_[4170] * vX_[137] +
+ vX_[9155] * vX_[153] + vX_[7441] * vX_[142] + vX_[2841] * vX_[515] + vX_[5964] * vX_[566] +
+ vX_[7825] * vX_[96] + vX_[9179] * vX_[522] + vX_[4194] * x_in[18]) *
+ 0.207 -
+ (vX_[4581] * vX_[951] + vX_[7855] * vX_[698] + vX_[4034] * vX_[684] + vX_[4588] * vX_[125] +
+ vX_[3162] * vX_[271] + vX_[4597] * vX_[640] + vX_[2826] * vX_[160] + vX_[4812] * vX_[675] +
+ vX_[5980] * vX_[641] + vX_[4582] * vX_[568] + vX_[4594] * vX_[149] + vX_[6435] * vX_[572] +
+ vX_[4433] * vX_[622] + vX_[6419] * vX_[570] + vX_[6448] * vX_[523] + vX_[2741] * vX_[140] +
+ vX_[2713] * x_in[20]) +
+ vX_[4623] * vX_[1975] + vX_[4659] * vX_[810] + vX_[3297] * vX_[9] + (0 - vX_[4670]) * 0.3735 +
+ vX_[4670] * vX_[9] * -0.35 + vX_[1424] * 0.35 + vX_[1424] * vX_[75] * 0.08 + vX_[1424] * vX_[9] * 0.3735 +
+ vX_[4637] * vX_[75] * 0.3735 + vX_[6699] * vX_[75] * -0.207 + vX_[4153] * vX_[75] * 0.3735 +
+ vX_[4168] * 0.35 + (vX_[4230] * vX_[9] + vX_[4168] * vX_[75]) * 0.08 + vX_[4168] * vX_[9] * 0.3735 +
+ (vX_[6829] * vX_[9] + vX_[4587] * vX_[9]) * 0.207 + vX_[1598] * vX_[75] * 0.207 + vX_[4923] * vX_[75] +
+ vX_[4166] * vX_[9] + (vX_[4148] * vX_[9] - vX_[4662]) * 0.08 + vX_[4650] * vX_[75] * 0.35 +
+ vX_[2845] * vX_[75] * 0.33 + vX_[4633] * vX_[9] * 0.33 + (0 - vX_[5961]) * 0.08 +
+ vX_[5962] * vX_[75] * 0.35 + vX_[6023] * vX_[75] * 0.33 + vX_[5998] * vX_[9] * 0.33 +
+ vX_[4641] * vX_[9] * 0.33 + vX_[4905] * vX_[75] * 0.33 + vX_[4155] * vX_[9] * 0.35 +
+ vX_[4883] * vX_[75] * 0.33 + vX_[4651] * 0.08 + vX_[4651] * vX_[75] * 0.35 +
+ (vX_[5672] * vX_[9] + vX_[4214] * vX_[75]) * 0.33 + vX_[4238] * vX_[9] * -0.33 + (0 - vX_[5660]) * 0.08 +
+ vX_[4904] * vX_[75] * 0.35 + vX_[5997] * vX_[75] * 0.33 + vX_[6003] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[4591] * vX_[776] + vX_[4589] * vX_[4079] + vX_[4581] * vX_[957] + vX_[4576] * vX_[951] +
+ vX_[7855] * vX_[701] + vX_[2252] * vX_[697] + vX_[4811] * vX_[698] + vX_[4034] * vX_[142] +
+ vX_[3753] * vX_[684] + vX_[4588] * vX_[389] + vX_[6004] * vX_[125] + vX_[4908] * vX_[271] +
+ vX_[4824] * vX_[675] + vX_[4597] * vX_[643] + vX_[2826] * vX_[150] + vX_[2842] * vX_[160] +
+ vX_[4812] * vX_[674] + vX_[4828] * vX_[640] + vX_[5980] * vX_[642] + vX_[4582] * vX_[639] +
+ vX_[4577] * vX_[641] + vX_[4586] * vX_[568] + vX_[4594] * vX_[159] + vX_[4595] * vX_[149] +
+ vX_[6435] * vX_[575] + vX_[4584] * vX_[571] + vX_[4756] * vX_[572] + vX_[4433] * vX_[623] +
+ vX_[2832] * vX_[622] + vX_[6419] * vX_[519] + vX_[6447] * vX_[570] + vX_[4146] * vX_[523] +
+ vX_[2741] * vX_[138] +
+ (vX_[4560] * vX_[567] + vX_[5965] * vX_[105] + vX_[6416] * vX_[154] + vX_[2862] * vX_[129] +
+ vX_[8715] * vX_[143] + vX_[7817] * vX_[128] + vX_[6404] * vX_[137] + vX_[2727] * vX_[125] +
+ vX_[9117] * vX_[142] + vX_[2837] * vX_[153] + vX_[4560] * vX_[563] + vX_[3079] * vX_[514] +
+ vX_[6416] * vX_[158] + vX_[8715] * vX_[511]) *
+ 0.207 +
+ vX_[1148] * x_in[23] + vX_[4194] * x_in[22] + vX_[6421] * x_in[20] + vX_[2713] * x_in[19] +
+ (vX_[4576] * vX_[776] + vX_[2741] * vX_[126] + vX_[1148] * x_in[19]) * 0.3735 +
+ (vX_[4607] * vX_[776] + vX_[1148] * x_in[18]) * -0.207 +
+ (vX_[4581] * vX_[4079] + vX_[4194] * x_in[20]) * -0.3735 + vX_[4667] * vX_[1986] + vX_[4643] * vX_[1983] -
+ vX_[2720] * vX_[75] + vX_[1620] * vX_[75] + vX_[4638] * 0.3735 + vX_[4638] * vX_[9] * 0.35 +
+ (0 - vX_[4655]) * 0.207 + vX_[2746] * 0.35 + vX_[2746] * vX_[75] * 0.08 + vX_[2746] * vX_[9] * 0.3735 +
+ vX_[8660] * vX_[75] * 0.3735 + (0 - vX_[8660] * vX_[9]) * 0.08 - vX_[2857] * vX_[75] +
+ vX_[6008] * vX_[75] * 0.3735 + vX_[8278] * vX_[9] * 0.08 + vX_[6011] * 0.35 + vX_[6011] * vX_[75] * 0.08 +
+ vX_[6011] * vX_[9] * 0.3735 + vX_[6022] * vX_[9] + vX_[6010] * vX_[75] + vX_[4658] * 0.08 +
+ vX_[4658] * vX_[75] * 0.35 + vX_[4649] * vX_[75] * 0.33 + vX_[6021] * vX_[9] * -0.33 + vX_[5984] * 0.08 +
+ vX_[5984] * vX_[75] * 0.35 + vX_[419] * vX_[75] * 0.33 + vX_[6199] * vX_[9] * -0.33 + vX_[3169] * 0.08 +
+ vX_[3169] * vX_[75] * 0.35 + vX_[5989] * vX_[9] * 0.33 + vX_[3128] * vX_[75] * -0.33 +
+ vX_[5983] * vX_[9] * 0.35 + (vX_[6012] * vX_[75] + vX_[5995] * vX_[9]) * 0.33 +
+ (vX_[3145] * vX_[9] + vX_[3174] * vX_[75]) * -0.33 + vX_[6007] * 0.08 + vX_[6007] * vX_[75] * 0.35 +
+ vX_[5992] * vX_[75] * 0.33 + vX_[5994] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[7855] = vX_[4592] - vX_[5025];
+ vX_[2737] = vX_[5019] + vX_[2737];
+ vX_[4899] = vX_[5014] + vX_[4899];
+ vX_[5014] = 0 - vX_[4899];
+ vX_[5019] = vX_[7855] * vX_[1];
+ vX_[2862] = vX_[7855] * vX_[126];
+ vX_[2828] = vX_[5016] + vX_[2828];
+ vX_[2008] = vX_[2036] + vX_[2008];
+ vX_[2751] = vX_[5015] + vX_[2751];
+ vX_[5026] = vX_[5006] + vX_[5026];
+ vX_[5006] = vX_[5026] * vX_[126] + vX_[2751] * vX_[1];
+ vX_[5015] = vX_[5026] * vX_[139] + vX_[2751] * vX_[126];
+ vX_[2030] = vX_[4575] + vX_[2030];
+ vX_[5024] = 0 - (vX_[5013] + vX_[5024]) + vX_[2030];
+ vX_[5013] = vX_[2037] - vX_[5030];
+ vX_[2739] = vX_[5009] + vX_[2739];
+ vX_[2009] = vX_[1967] + vX_[2009];
+ vX_[1967] = 0 - vX_[2009];
+ vX_[5009] = vX_[5013] * vX_[1];
+ vX_[4575] = vX_[5013] * vX_[126];
+ vX_[2036] = vX_[5064] * 0.881 + (0 - vX_[5066]) * -0.0004405 + vX_[5068] * 8.81e-05;
+ vX_[5016] = vX_[5062] * -0.881;
+ vX_[4601] = vX_[5066] * 0.1104774;
+ vX_[2741] = vX_[5070] * 8.81e-05;
+ vX_[5965] = vX_[5016] - vX_[4601] + vX_[2741];
+ vX_[5980] = vX_[2036] * vX_[4053] + vX_[5965] * vX_[4070];
+ vX_[5336] = vX_[5054] * 3.146 + (0 - vX_[5061]) * 0.0825825;
+ vX_[2832] = vX_[5053] * -3.146;
+ vX_[4433] = vX_[5061] * 0.47422804;
+ vX_[4582] = vX_[2832] - vX_[4433];
+ vX_[4812] = vX_[5980] + vX_[5336] * vX_[4072] + vX_[4582] * vX_[4074];
+ vX_[6406] = vX_[5041] * 3.44 + vX_[5044] * 0.5824264;
+ vX_[4594] = 0 - vX_[6406];
+ vX_[6447] = vX_[5038] * 3.44 + (0 - vX_[5044]) * 0.1466472;
+ vX_[6448] = vX_[5038] * vX_[142] + vX_[5037] * vX_[125] + vX_[5041] * vX_[134] + vX_[5044] * vX_[515] +
+ vX_[5046] * vX_[566];
+ vX_[6419] = vX_[4812] + vX_[4594] * vX_[4085] + vX_[6447] * vX_[4092] + vX_[6448] * x_in[33];
+ vX_[6435] = 0 - vX_[2036];
+ vX_[2741] = 0 - vX_[5016] + vX_[4601] - vX_[2741];
+ vX_[4601] = vX_[5051] * -0.0004405 + vX_[5062] * 8.81e-05 + vX_[5070] * -0.000227999999999999;
+ vX_[5016] = vX_[5051] * 0.1104774 + vX_[5064] * 8.81e-05 + (0 - vX_[5068]) * 0.025713;
+ vX_[4146] = (0 - vX_[5062]) * -0.0004405;
+ vX_[4580] = (0 - vX_[5064]) * 0.1104774;
+ vX_[2833] = vX_[4146] + vX_[4580];
+ vX_[2833] = vX_[6435] * vX_[1994] + vX_[2741] * vX_[4061] + vX_[4601] * vX_[4053] + vX_[5016] * vX_[4070] +
+ vX_[2833] * vX_[4071] + vX_[2833] * vX_[4071];
+ vX_[4756] = vX_[5051] * 0.881 + (0 - vX_[5068]) * 0.1104774 + vX_[5070] * -0.0004405;
+ vX_[4584] = vX_[5062] * -0.00185880198235362 + vX_[5064] * 0.880992588508842 + vX_[5068] * 8.81e-05;
+ vX_[6435] = vX_[6435] * vX_[4071] + vX_[4756] * vX_[4070] + vX_[4584] * x_in[35];
+ vX_[4595] = 0 - vX_[4756];
+ vX_[2826] = vX_[5062] * 0.414812462825713 + vX_[5064] * -0.00185880198235362 + vX_[5070] * -8.81e-05;
+ vX_[2741] = vX_[2741] * vX_[4071] + vX_[4595] * vX_[4053] - vX_[2826] * x_in[35];
+ vX_[4586] = 0 - vX_[5336];
+ vX_[4433] = 0 - vX_[2832] + vX_[4433];
+ vX_[2832] = vX_[5049] * 0.0825825 + (0 - vX_[5061]) * -0.000102 + vX_[5050] * -0.007418 + vX_[5059] * 0.002735;
+ vX_[4577] = vX_[5049] * 0.47422804 + vX_[5061] * 2.1e-05 + (0 - vX_[5050]) * 0.084376 + (0 - vX_[5059]) * -0.007418;
+ vX_[4597] = (0 - vX_[5053]) * 0.0825825;
+ vX_[4828] = (0 - vX_[5054]) * 0.47422804;
+ vX_[2842] = vX_[5050] * -0.000102;
+ vX_[4824] = (0 - vX_[5059]) * 2.1e-05;
+ vX_[4811] = vX_[4597] + vX_[4828] + vX_[2842] + vX_[4824];
+ vX_[4811] = vX_[2833] + vX_[6435] * vX_[764] + vX_[2741] * vX_[54] + vX_[4586] * vX_[4066] + vX_[4433] * vX_[4091] +
+ vX_[2832] * vX_[4072] + vX_[4577] * vX_[4074] + vX_[4811] * vX_[4082] + vX_[4811] * vX_[4082];
+ vX_[2252] = vX_[5049] * 3.146 + (0 - vX_[5050]) * 0.47422804 + vX_[5059] * 0.0825825;
+ vX_[4667] = vX_[5053] * vX_[102] + vX_[5054] * vX_[101] + vX_[5050] * vX_[80] + vX_[5059] * vX_[74];
+ vX_[4586] =
+ vX_[6435] * vX_[7] + vX_[2741] * vX_[51] + vX_[4586] * vX_[4082] + vX_[2252] * vX_[4074] + vX_[4667] * x_in[34];
+ vX_[4659] = 0 - vX_[2252];
+ vX_[4643] = vX_[5053] * vX_[100] + vX_[5054] * vX_[102] + vX_[5050] * vX_[86] + vX_[5059] * vX_[85];
+ vX_[4433] = vX_[6435] * vX_[756] + vX_[2741] * vX_[7] + vX_[4433] * vX_[4082] + vX_[4659] * vX_[4072] -
+ vX_[4643] * x_in[34];
+ vX_[4623] = 0 - vX_[6447];
+ vX_[6006] = vX_[5037] * 0.5824264 + (0 - vX_[5048]) * -0.022734 + vX_[5044] * -3.6e-05 + vX_[5046] * -0.133138;
+ vX_[5990] = vX_[5037] * 0.1466472 + vX_[5048] * 0.009466 + (0 - vX_[5044]) * -5.1e-05 + vX_[5046] * -0.022734;
+ vX_[6019] = (0 - vX_[5038]) * 0.5824264;
+ vX_[6018] = (0 - vX_[5041]) * 0.1466472;
+ vX_[5987] = (0 - vX_[5048]) * -3.6e-05;
+ vX_[1904] = (0 - vX_[5046]) * -5.1e-05;
+ vX_[9173] = vX_[6019] + vX_[6018] + vX_[5987] - vX_[1904];
+ vX_[2098] = vX_[5038] * vX_[158] + vX_[5037] * vX_[514] + vX_[5041] * vX_[566] + vX_[5044] * vX_[565] +
+ vX_[5046] * vX_[122];
+ vX_[9173] = vX_[4811] + vX_[4586] * vX_[752] + vX_[4433] * vX_[93] + vX_[6406] * vX_[4095] + vX_[4623] * vX_[3880] +
+ vX_[6006] * vX_[4085] + vX_[5990] * vX_[4092] + vX_[9173] * vX_[4104] + vX_[9173] * vX_[4104] +
+ vX_[2098] * x_in[33];
+ vX_[5976] = vX_[4599] - vX_[5030];
+ vX_[5981] = vX_[5976] * vX_[126] + vX_[2739] * vX_[1];
+ vX_[5975] = vX_[5976] * vX_[139] + vX_[2739] * vX_[126];
+ vX_[5974] = vX_[5975] + vX_[5009];
+ vX_[5971] = vX_[5981] * vX_[139] + vX_[5974] * vX_[126] + vX_[4575] * vX_[1];
+ vX_[5978] = 0 - vX_[5971];
+ vX_[5977] = vX_[5030] + vX_[5981] * vX_[126] + vX_[5009] * vX_[1];
+ vX_[3533] = 0 - vX_[5977];
+ vX_[3113] = vX_[5030] + vX_[5975] * vX_[139] + vX_[4575] * vX_[126];
+ vX_[5023] = vX_[5012] + vX_[5023] - vX_[2008];
+ vX_[5012] = vX_[2030] * vX_[126] + vX_[2008] * vX_[1];
+ vX_[3535] = 0 - (vX_[5023] * vX_[139] + vX_[5024] * vX_[126]) + vX_[5012];
+ vX_[7382] = vX_[3535] + vX_[5977] * vX_[127];
+ vX_[5550] = 0 - vX_[7382];
+ vX_[5551] = vX_[2030] * vX_[139] + vX_[2008] * vX_[126];
+ vX_[5553] = vX_[5023] * vX_[126] + vX_[5024] * vX_[1] + vX_[5551];
+ vX_[5535] = 0 - vX_[3113];
+ vX_[5536] = vX_[5553] + vX_[5971] * vX_[127] + vX_[5535] * vX_[27];
+ vX_[2756] = vX_[5011] + vX_[2756];
+ vX_[5011] = vX_[2828] * vX_[126] + vX_[2756] * vX_[139];
+ vX_[7843] = vX_[5011] * vX_[126] + vX_[5015] * vX_[1];
+ vX_[4862] = vX_[4990] + vX_[4862];
+ vX_[2009] = 0 - vX_[2009];
+ vX_[4990] = vX_[4862] * vX_[139] + vX_[2009] * vX_[126];
+ vX_[5538] = 0 - vX_[4990];
+ vX_[3974] = vX_[7843] + vX_[5538] * vX_[27] + vX_[3533] * vX_[141];
+ vX_[5540] = 0 - vX_[3974];
+ vX_[3946] = vX_[2828] * vX_[1] + vX_[2756] * vX_[126];
+ vX_[3947] = vX_[3946] * vX_[139] + vX_[5006] * vX_[126];
+ vX_[5541] = vX_[4862] * vX_[126] + vX_[1967] * vX_[1];
+ vX_[3111] = 0 - vX_[5541];
+ vX_[4504] = vX_[3947] + vX_[3111] * vX_[127] + vX_[3113] * vX_[141];
+ vX_[5125] = vX_[3946] * vX_[126] + vX_[5006] * vX_[1];
+ vX_[1491] = vX_[5125] + vX_[4990] * vX_[127];
+ vX_[6529] = vX_[5011] * vX_[139] + vX_[5015] * vX_[126];
+ vX_[3936] = vX_[6529] + vX_[5541] * vX_[27] + vX_[5978] * vX_[141];
+ vX_[7656] = 0 - vX_[1491] + vX_[3936];
+ vX_[6989] = 0 - vX_[5971];
+ vX_[3937] = 0 - vX_[5977];
+ vX_[3533] = vX_[5978] * vX_[569] + vX_[3533] * vX_[517] + vX_[3113] * vX_[105] + vX_[5550] * vX_[142] +
+ vX_[5536] * vX_[153] + vX_[5540] * vX_[134] + vX_[4504] * vX_[128] + vX_[7656] * vX_[125] +
+ vX_[6989] * vX_[566] + vX_[5971] * vX_[563] + vX_[3937] * vX_[516] + vX_[3113] * vX_[520];
+ vX_[5978] = vX_[5037] * -3.44;
+ vX_[3519] = vX_[5048] * 0.1466472;
+ vX_[5176] = vX_[5046] * 0.5824264;
+ vX_[6117] = 0 - vX_[5978] + vX_[3519] - vX_[5176];
+ vX_[5145] = vX_[5038] * vX_[153] + vX_[5037] * vX_[128] + vX_[5041] * vX_[125] + vX_[5044] * vX_[563] +
+ vX_[5046] * vX_[514];
+ vX_[4623] = vX_[4586] * vX_[751] + vX_[4433] * vX_[75] + vX_[6117] * vX_[4085] + vX_[4623] * vX_[4104] -
+ vX_[5145] * x_in[33];
+ vX_[5030] = vX_[4599] + vX_[2037] + vX_[5030] - vX_[5977] - vX_[3113];
+ vX_[2037] = 0 - vX_[5030];
+ vX_[5012] = vX_[5012] + vX_[2037] * vX_[127];
+ vX_[5551] = vX_[5551] + vX_[5030] * vX_[27];
+ vX_[4599] = 0 - vX_[5536];
+ vX_[5169] = 0 - vX_[4504];
+ vX_[2001] = vX_[2005] + vX_[2001] + vX_[2756] + vX_[2751] - vX_[5125] - vX_[6529];
+ vX_[3936] = vX_[2001] - vX_[3936];
+ vX_[2005] = 0 - vX_[4990];
+ vX_[5532] = 0 - vX_[5971];
+ vX_[5533] = 0 - vX_[3113];
+ vX_[5567] = vX_[2755] - vX_[5025];
+ vX_[4918] = vX_[5017] + vX_[4918];
+ vX_[5017] = vX_[5567] * vX_[126] + vX_[2737] * vX_[1];
+ vX_[5594] = vX_[5567] * vX_[139] + vX_[2737] * vX_[126];
+ vX_[5066] = vX_[5062] * 0.1104774 + vX_[5064] * -0.0004405 + vX_[5066] * 0.025941;
+ vX_[5569] = (0 - vX_[5051]) * 8.81e-05;
+ vX_[4580] = vX_[5569] + vX_[4580];
+ vX_[5070] = vX_[5051] * -0.0004405 + vX_[5062] * -8.81e-05 + vX_[5070] * 0.000468;
+ vX_[4580] = vX_[2036] * vX_[4062] + vX_[4595] * vX_[4061] + vX_[4601] * vX_[4071] + vX_[5066] * vX_[4070] +
+ vX_[4580] * vX_[4053] + vX_[4580] * vX_[4053] + vX_[5070] * x_in[35];
+ vX_[5569] = vX_[5569] + vX_[4146];
+ vX_[5068] = vX_[5051] * -0.1104774 + vX_[5064] * 8.81e-05 + vX_[5068] * 0.026409;
+ vX_[5569] = vX_[5965] * vX_[4062] + vX_[4756] * vX_[1994] + vX_[5016] * vX_[4071] + vX_[5066] * vX_[4053] +
+ vX_[5569] * vX_[4070] + vX_[5569] * vX_[4070] - vX_[5068] * x_in[35];
+ vX_[5066] = vX_[5053] * 0.47422804 + vX_[5054] * 0.0825825 + vX_[5061] * 0.081641 + (0 - vX_[5050]) * 2.1e-05 +
+ vX_[5059] * -0.000102;
+ vX_[4756] = (0 - vX_[5061]) * -0.007418;
+ vX_[4824] = vX_[4828] + vX_[4756] - vX_[4824];
+ vX_[4828] =
+ vX_[5049] * vX_[69] + vX_[5053] * vX_[85] + vX_[5054] * vX_[74] + vX_[5050] * vX_[117] + vX_[5059] * vX_[113];
+ vX_[4824] = vX_[5980] * -0.35 + vX_[4580] * vX_[7] + vX_[5569] * vX_[51] + vX_[5336] * vX_[4064] +
+ vX_[4659] * vX_[4091] + vX_[2832] * vX_[4082] + vX_[5066] * vX_[4074] + vX_[4824] * vX_[4072] +
+ vX_[4824] * vX_[4072] + vX_[4828] * x_in[34];
+ vX_[4756] = vX_[4597] - vX_[4756] - vX_[2842];
+ vX_[2842] =
+ vX_[5049] * vX_[82] + vX_[5053] * vX_[86] + vX_[5054] * vX_[80] + vX_[5050] * vX_[111] + vX_[5059] * vX_[117];
+ vX_[4756] = vX_[4580] * vX_[52] + vX_[5569] * vX_[7] + vX_[4582] * vX_[4064] + vX_[2252] * vX_[4066] +
+ vX_[4577] * vX_[4082] + vX_[5066] * vX_[4072] + vX_[4756] * vX_[4074] + vX_[4756] * vX_[4074] -
+ vX_[2842] * x_in[34];
+ vX_[5176] = vX_[5978] - vX_[3519] + vX_[5176];
+ vX_[3519] = vX_[5038] * 0.1466472 + vX_[5041] * 0.5824264 + vX_[5048] * -5.1e-05 + (0 - vX_[5044]) * -0.123672 +
+ (0 - vX_[5046]) * -3.6e-05;
+ vX_[5978] = vX_[5044] * -0.022734;
+ vX_[5987] = vX_[6019] - vX_[5987] - vX_[5978];
+ vX_[6019] =
+ vX_[5038] * vX_[96] + vX_[5037] * vX_[563] + vX_[5041] * vX_[515] + vX_[5044] * vX_[513] + vX_[5046] * vX_[565];
+ vX_[5987] = vX_[4824] * vX_[4] + vX_[4756] * vX_[75] + vX_[5176] * vX_[4095] + vX_[6447] * vX_[4096] +
+ vX_[3519] * vX_[4085] + vX_[5990] * vX_[4104] + vX_[5987] * vX_[4092] + vX_[5987] * vX_[4092] -
+ vX_[6019] * x_in[33];
+ vX_[5097] = vX_[5097] * vX_[1986];
+ vX_[5098] = vX_[5098] * vX_[1986];
+ vX_[5990] = vX_[5097] * vX_[7] + vX_[5098] * vX_[51];
+ vX_[5099] = vX_[5099] * vX_[1986];
+ vX_[5069] = vX_[5069] * vX_[1975];
+ vX_[6447] = vX_[5069] * vX_[7];
+ vX_[5066] = vX_[5069] * vX_[51];
+ vX_[5085] = vX_[5085] * vX_[1993];
+ vX_[2252] = vX_[5085] * vX_[51];
+ vX_[5071] = vX_[5071] * vX_[1975];
+ vX_[4577] = vX_[5071] * vX_[7];
+ vX_[4582] = 0 - vX_[4577];
+ vX_[4597] = vX_[5071] * vX_[51];
+ vX_[4659] = 0 - vX_[5066];
+ vX_[2832] = 0 - vX_[5085];
+ vX_[5336] = vX_[2832] * vX_[7];
+ vX_[5086] = vX_[5086] * vX_[1993];
+ vX_[5980] = 0 - vX_[5086];
+ vX_[5016] = vX_[5980] * vX_[51];
+ vX_[5965] = vX_[5086] * vX_[7];
+ vX_[5073] = vX_[5073] * vX_[1983];
+ vX_[5064] = vX_[5097] + vX_[5073];
+ vX_[5074] = vX_[5074] * vX_[1983];
+ vX_[5051] = 0 - vX_[5098] - vX_[5074];
+ vX_[4146] = vX_[5064] * vX_[51] + vX_[5051] * vX_[7];
+ vX_[4595] = vX_[5073] * vX_[7] + vX_[5074] * vX_[51];
+ vX_[5091] = vX_[5091] * vX_[1993] + vX_[5079] * vX_[1975];
+ vX_[5079] = 0 - vX_[5091];
+ vX_[4601] = 0 - vX_[5091];
+ vX_[2036] = vX_[4601] * vX_[7];
+ vX_[5062] = vX_[5091] * vX_[51];
+ vX_[5568] = vX_[5092] * vX_[893] + vX_[5324] * vX_[845] + vX_[5333] * vX_[877];
+ vX_[5574] = 0 - vX_[5568];
+ vX_[5575] = vX_[5092] * vX_[985] + vX_[5324] * vX_[878] + vX_[5333] * vX_[839];
+ vX_[3531] = vX_[5574] * x_in[18] + vX_[5575] * x_in[19];
+ vX_[3536] = 0 - vX_[3531];
+ vX_[3123] = 0 - vX_[3531];
+ vX_[3574] = vX_[3123] * vX_[7];
+ vX_[3562] = vX_[3531] * vX_[51];
+ vX_[5092] = vX_[5092] * vX_[875] + vX_[5324] * vX_[894] + vX_[5333] * vX_[986];
+ jac[1250] = vX_[4643] * vX_[3967] + vX_[4667] * vX_[4066] + vX_[2842] * vX_[3980] + vX_[4828] * vX_[4072] +
+ vX_[4811] + vX_[5092] * vX_[899] + vX_[5568] * vX_[851] + vX_[5575] * vX_[884];
+ jac[1286] = vX_[2826] * vX_[1988] + vX_[4584] * vX_[1994] + vX_[5068] * vX_[988] + vX_[5070] * vX_[4053] +
+ vX_[2833] + vX_[5092] * vX_[908] + vX_[5568] * vX_[862] + vX_[5575] * vX_[881];
+ vX_[5068] = vX_[5092] * x_in[35];
+ vX_[5070] = vX_[5068] * vX_[7];
+ vX_[2826] = vX_[5068] * vX_[51];
+ vX_[4584] = vX_[5092] * x_in[34];
+ vX_[2833] = vX_[4584] * vX_[51];
+ vX_[2842] = vX_[5568] * x_in[33];
+ vX_[4828] = vX_[4584] * vX_[7];
+ vX_[4643] = vX_[2842] * vX_[7];
+ vX_[4667] = vX_[2842] * vX_[51];
+ vX_[4811] = vX_[5103] * vX_[940];
+ vX_[5333] = 0 - vX_[4811];
+ vX_[5324] = 0 - vX_[4811];
+ vX_[8228] = vX_[5324] * vX_[7];
+ vX_[3550] = vX_[4811] * vX_[51];
+ vX_[4899] = 0 - vX_[4899];
+ vX_[3568] = vX_[5594] + vX_[5019];
+ vX_[5579] = 0 - vX_[5012];
+ vX_[5582] = 0 - vX_[5551];
+ vX_[2001] = 0 - vX_[2001] + vX_[1491];
+ vX_[1491] = 0 - vX_[5541];
+ vX_[5063] = vX_[5063] * vX_[1975];
+ vX_[1810] = vX_[5063] * vX_[51];
+ vX_[5065] = vX_[5065] * vX_[1975];
+ vX_[7016] = vX_[5065] * vX_[7];
+ vX_[5067] = vX_[5067] * vX_[1975];
+ vX_[5084] = vX_[5084] * vX_[1993];
+ vX_[5100] = vX_[5100] * vX_[1986];
+ vX_[5593] = vX_[5100] * vX_[7];
+ vX_[5581] = vX_[5100] * vX_[51];
+ vX_[5089] = vX_[5089] * vX_[810];
+ vX_[5592] = vX_[5089] * vX_[51];
+ vX_[5101] = vX_[5101] * vX_[1986];
+ vX_[3577] = vX_[5101] * vX_[7];
+ vX_[5555] = 0 - vX_[3577];
+ vX_[3564] = vX_[5101] * vX_[51];
+ vX_[5770] = 0 - vX_[5063] - vX_[5089];
+ vX_[5090] = vX_[5090] * vX_[810];
+ vX_[3579] = 0 - vX_[5065] - vX_[5090];
+ vX_[3958] = vX_[5770] * vX_[7] + vX_[3579] * vX_[51];
+ vX_[3971] = vX_[5090] * vX_[7];
+ vX_[5087] = vX_[5087] * vX_[1993] + vX_[5078] * vX_[1986];
+ vX_[5078] = vX_[5087] * vX_[7];
+ vX_[5560] = vX_[5087] * vX_[51];
+ vX_[7012] = 0 - vX_[5575];
+ vX_[6975] = vX_[5092] * x_in[18] + vX_[7012] * x_in[20];
+ vX_[5554] = vX_[6975] * vX_[7];
+ vX_[5583] = vX_[6975] * vX_[51];
+ vX_[4353] = vX_[5092] * x_in[33];
+ vX_[5566] = vX_[5568] * x_in[35];
+ vX_[7018] = 0 - vX_[5566];
+ vX_[3944] = vX_[7018] * vX_[7];
+ vX_[5578] = vX_[5566] * vX_[51];
+ vX_[5563] = vX_[5568] * x_in[34];
+ vX_[5565] = 0 - vX_[5563];
+ vX_[5577] = vX_[4353] * vX_[7];
+ vX_[5561] = 0 - vX_[5563];
+ vX_[5590] = vX_[5561] * vX_[7];
+ vX_[5589] = vX_[4353] * vX_[51];
+ vX_[5558] = vX_[5563] * vX_[51];
+ vX_[6959] = vX_[5103] * vX_[929];
+ vX_[3970] = vX_[6959] * vX_[7];
+ vX_[3942] = vX_[6959] * vX_[51];
+ jac[566] =
+ 0 -
+ (vX_[5018] * vX_[776] + vX_[5005] * vX_[957] + vX_[7855] * vX_[699] + vX_[2737] * vX_[701] +
+ vX_[5014] * vX_[142] + vX_[5019] * vX_[389] + vX_[2862] * vX_[125] + vX_[2828] * vX_[674] +
+ vX_[2008] * vX_[150] + vX_[2751] * vX_[643] + vX_[5006] * vX_[642] + vX_[5015] * vX_[639] +
+ vX_[5024] * vX_[159] + vX_[5013] * vX_[573] + vX_[2739] * vX_[575] + vX_[1967] * vX_[623] +
+ vX_[5009] * vX_[519] + vX_[4575] * vX_[570] + vX_[6419] * x_in[22] + vX_[9173] * x_in[19] +
+ (vX_[5010] * vX_[776] + vX_[3533] * vX_[139] + vX_[6419] * x_in[20]) * -0.3735 -
+ (vX_[5020] * vX_[4079] + vX_[4623] * x_in[23]) + (vX_[5005] * vX_[4079] + vX_[4623] * x_in[19]) * -0.3735 +
+ (vX_[5036] * vX_[4079] + vX_[5538] * vX_[517] + vX_[5541] * vX_[569] + vX_[5030] * vX_[152] +
+ vX_[5535] * vX_[154] + vX_[5012] * vX_[125] + vX_[5551] * vX_[134] + vX_[4599] * vX_[137] +
+ vX_[5169] * vX_[153] + vX_[3936] * vX_[142] + vX_[2005] * vX_[515] + vX_[5541] * vX_[566] +
+ vX_[5532] * vX_[96] + vX_[5533] * vX_[522] + vX_[4623] * x_in[18]) *
+ 0.207 -
+ (vX_[5010] * vX_[951] + vX_[5567] * vX_[698] + vX_[4918] * vX_[684] + vX_[5017] * vX_[125] +
+ vX_[5594] * vX_[271] + vX_[5026] * vX_[640] + vX_[2030] * vX_[160] + vX_[2756] * vX_[675] +
+ vX_[3946] * vX_[641] + vX_[5011] * vX_[568] + vX_[5023] * vX_[149] + vX_[5976] * vX_[572] +
+ vX_[4862] * vX_[622] + vX_[5981] * vX_[570] + vX_[5975] * vX_[523] + vX_[3533] * vX_[140] +
+ vX_[5987] * x_in[20]) +
+ vX_[5052] * vX_[1975] + vX_[5088] * vX_[810] + vX_[5990] * vX_[9] + (0 - vX_[5099]) * 0.3735 +
+ vX_[5099] * vX_[9] * -0.35 + vX_[6447] * 0.35 + vX_[6447] * vX_[75] * 0.08 + vX_[6447] * vX_[9] * 0.3735 +
+ vX_[5066] * vX_[75] * 0.3735 + vX_[2252] * vX_[75] * -0.207 + vX_[4582] * vX_[75] * 0.3735 +
+ vX_[4597] * 0.35 + (vX_[4659] * vX_[9] + vX_[4597] * vX_[75]) * 0.08 + vX_[4597] * vX_[9] * 0.3735 +
+ (vX_[5336] * vX_[9] + vX_[5016] * vX_[9]) * 0.207 + vX_[5965] * vX_[75] * 0.207 + vX_[4146] * vX_[75] +
+ vX_[4595] * vX_[9] + (vX_[4577] * vX_[9] - vX_[5091]) * 0.08 + vX_[5079] * vX_[75] * 0.35 +
+ vX_[2036] * vX_[75] * 0.33 + vX_[5062] * vX_[9] * 0.33 + (0 - vX_[3531]) * 0.08 +
+ vX_[3536] * vX_[75] * 0.35 + vX_[3574] * vX_[75] * 0.33 + vX_[3562] * vX_[9] * 0.33 +
+ vX_[5070] * vX_[9] * 0.33 + vX_[2826] * vX_[75] * 0.33 + vX_[4584] * vX_[9] * 0.35 +
+ vX_[2833] * vX_[75] * 0.33 + vX_[2842] * 0.08 + vX_[2842] * vX_[75] * 0.35 +
+ (vX_[4828] * vX_[9] + vX_[4643] * vX_[75]) * 0.33 + vX_[4667] * vX_[9] * -0.33 + (0 - vX_[4811]) * 0.08 +
+ vX_[5333] * vX_[75] * 0.35 + vX_[8228] * vX_[75] * 0.33 + vX_[3550] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[5020] * vX_[776] + vX_[5018] * vX_[4079] + vX_[5010] * vX_[957] + vX_[5005] * vX_[951] +
+ vX_[5567] * vX_[701] + vX_[7855] * vX_[697] + vX_[2737] * vX_[698] + vX_[4918] * vX_[142] +
+ vX_[4899] * vX_[684] + vX_[5017] * vX_[389] + vX_[3568] * vX_[125] + vX_[2862] * vX_[271] +
+ vX_[2828] * vX_[675] + vX_[5026] * vX_[643] + vX_[2030] * vX_[150] + vX_[2008] * vX_[160] +
+ vX_[2756] * vX_[674] + vX_[2751] * vX_[640] + vX_[3946] * vX_[642] + vX_[5011] * vX_[639] +
+ vX_[5006] * vX_[641] + vX_[5015] * vX_[568] + vX_[5023] * vX_[159] + vX_[5024] * vX_[149] +
+ vX_[5976] * vX_[575] + vX_[5013] * vX_[571] + vX_[2739] * vX_[572] + vX_[4862] * vX_[623] +
+ vX_[2009] * vX_[622] + vX_[5981] * vX_[519] + vX_[5974] * vX_[570] + vX_[4575] * vX_[523] +
+ vX_[3533] * vX_[138] +
+ (vX_[4990] * vX_[567] + vX_[3111] * vX_[105] + vX_[5971] * vX_[154] + vX_[2037] * vX_[129] +
+ vX_[5977] * vX_[143] + vX_[5579] * vX_[128] + vX_[7382] * vX_[137] + vX_[5582] * vX_[125] +
+ vX_[3974] * vX_[142] + vX_[2001] * vX_[153] + vX_[4990] * vX_[563] + vX_[1491] * vX_[514] +
+ vX_[5971] * vX_[158] + vX_[5977] * vX_[511]) *
+ 0.207 +
+ vX_[6419] * x_in[23] + vX_[4623] * x_in[22] + vX_[9173] * x_in[20] + vX_[5987] * x_in[19] +
+ (vX_[5005] * vX_[776] + vX_[3533] * vX_[126] + vX_[6419] * x_in[19]) * 0.3735 +
+ (vX_[5036] * vX_[776] + vX_[6419] * x_in[18]) * -0.207 +
+ (vX_[5010] * vX_[4079] + vX_[4623] * x_in[20]) * -0.3735 + vX_[5096] * vX_[1986] + vX_[5072] * vX_[1983] -
+ vX_[1810] * vX_[75] + vX_[7016] * vX_[75] + vX_[5067] * 0.3735 + vX_[5067] * vX_[9] * 0.35 +
+ (0 - vX_[5084]) * 0.207 + vX_[5593] * 0.35 + vX_[5593] * vX_[75] * 0.08 + vX_[5593] * vX_[9] * 0.3735 +
+ vX_[5581] * vX_[75] * 0.3735 + (0 - vX_[5581] * vX_[9]) * 0.08 - vX_[5592] * vX_[75] +
+ vX_[5555] * vX_[75] * 0.3735 + vX_[3577] * vX_[9] * 0.08 + vX_[3564] * 0.35 + vX_[3564] * vX_[75] * 0.08 +
+ vX_[3564] * vX_[9] * 0.3735 + vX_[3958] * vX_[9] + vX_[3971] * vX_[75] + vX_[5087] * 0.08 +
+ vX_[5087] * vX_[75] * 0.35 + vX_[5078] * vX_[75] * 0.33 + vX_[5560] * vX_[9] * -0.33 + vX_[6975] * 0.08 +
+ vX_[6975] * vX_[75] * 0.35 + vX_[5554] * vX_[75] * 0.33 + vX_[5583] * vX_[9] * -0.33 + vX_[4353] * 0.08 +
+ vX_[4353] * vX_[75] * 0.35 + vX_[3944] * vX_[9] * 0.33 + vX_[5578] * vX_[75] * -0.33 +
+ vX_[5565] * vX_[9] * 0.35 + (vX_[5577] * vX_[75] + vX_[5590] * vX_[9]) * 0.33 +
+ (vX_[5589] * vX_[9] + vX_[5558] * vX_[75]) * -0.33 + vX_[6959] * 0.08 + vX_[6959] * vX_[75] * 0.35 +
+ vX_[3970] * vX_[75] * 0.33 + vX_[3942] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[5567] = vX_[5021] - vX_[5444];
+ vX_[1924] = vX_[5438] + vX_[1924];
+ vX_[2846] = vX_[5433] + vX_[2846];
+ vX_[5433] = 0 - vX_[2846];
+ vX_[5438] = vX_[5567] * vX_[1];
+ vX_[2037] = vX_[5567] * vX_[126];
+ vX_[2003] = vX_[5435] + vX_[2003];
+ vX_[1539] = vX_[1849] + vX_[1539];
+ vX_[1972] = vX_[5434] + vX_[1972];
+ vX_[5445] = vX_[5425] + vX_[5445];
+ vX_[5425] = vX_[5445] * vX_[126] + vX_[1972] * vX_[1];
+ vX_[5434] = vX_[5445] * vX_[139] + vX_[1972] * vX_[126];
+ vX_[1545] = vX_[5004] + vX_[1545];
+ vX_[5443] = 0 - (vX_[5432] + vX_[5443]) + vX_[1545];
+ vX_[5432] = vX_[1927] - vX_[5449];
+ vX_[1979] = vX_[5428] + vX_[1979];
+ vX_[1452] = vX_[1235] + vX_[1452];
+ vX_[1235] = 0 - vX_[1452];
+ vX_[5428] = vX_[5432] * vX_[1];
+ vX_[5004] = vX_[5432] * vX_[126];
+ vX_[1849] = vX_[5483] * 0.881 + (0 - vX_[5485]) * -0.0004405 + vX_[5487] * 8.81e-05;
+ vX_[5435] = vX_[5481] * -0.881;
+ vX_[5030] = vX_[5485] * 0.1104774;
+ vX_[3533] = vX_[5489] * 8.81e-05;
+ vX_[3111] = vX_[5435] - vX_[5030] + vX_[3533];
+ vX_[3946] = vX_[1849] * vX_[4053] + vX_[3111] * vX_[4070];
+ vX_[5538] = vX_[5473] * 3.146 + (0 - vX_[5480]) * 0.0825825;
+ vX_[2009] = vX_[5472] * -3.146;
+ vX_[4862] = vX_[5480] * 0.47422804;
+ vX_[5011] = vX_[2009] - vX_[4862];
+ vX_[2756] = vX_[3946] + vX_[5538] * vX_[4072] + vX_[5011] * vX_[4074];
+ vX_[5535] = vX_[5460] * 3.44 + vX_[5463] * 0.5824264;
+ vX_[5023] = 0 - vX_[5535];
+ vX_[5974] = vX_[5457] * 3.44 + (0 - vX_[5463]) * 0.1466472;
+ vX_[5975] = vX_[5457] * vX_[142] + vX_[5456] * vX_[125] + vX_[5460] * vX_[134] + vX_[5463] * vX_[515] +
+ vX_[5465] * vX_[566];
+ vX_[5981] = vX_[2756] + vX_[5023] * vX_[4085] + vX_[5974] * vX_[4092] + vX_[5975] * x_in[33];
+ vX_[5976] = 0 - vX_[1849];
+ vX_[3533] = 0 - vX_[5435] + vX_[5030] - vX_[3533];
+ vX_[5030] = vX_[5470] * -0.0004405 + vX_[5481] * 8.81e-05 + vX_[5489] * -0.000227999999999999;
+ vX_[5435] = vX_[5470] * 0.1104774 + vX_[5483] * 8.81e-05 + (0 - vX_[5487]) * 0.025713;
+ vX_[4575] = (0 - vX_[5481]) * -0.0004405;
+ vX_[5009] = (0 - vX_[5483]) * 0.1104774;
+ vX_[1967] = vX_[4575] + vX_[5009];
+ vX_[1967] = vX_[5976] * vX_[1994] + vX_[3533] * vX_[4061] + vX_[5030] * vX_[4053] + vX_[5435] * vX_[4070] +
+ vX_[1967] * vX_[4071] + vX_[1967] * vX_[4071];
+ vX_[2739] = vX_[5470] * 0.881 + (0 - vX_[5487]) * 0.1104774 + vX_[5489] * -0.0004405;
+ vX_[5013] = vX_[5481] * -0.00185880198235362 + vX_[5483] * 0.880992588508842 + vX_[5487] * 8.81e-05;
+ vX_[5976] = vX_[5976] * vX_[4071] + vX_[2739] * vX_[4070] + vX_[5013] * x_in[35];
+ vX_[5024] = 0 - vX_[2739];
+ vX_[2030] = vX_[5481] * 0.414812462825713 + vX_[5483] * -0.00185880198235362 + vX_[5489] * -8.81e-05;
+ vX_[3533] = vX_[3533] * vX_[4071] + vX_[5024] * vX_[4053] - vX_[2030] * x_in[35];
+ vX_[5015] = 0 - vX_[5538];
+ vX_[4862] = 0 - vX_[2009] + vX_[4862];
+ vX_[2009] = vX_[5468] * 0.0825825 + (0 - vX_[5480]) * -0.000102 + vX_[5469] * -0.007418 + vX_[5478] * 0.002735;
+ vX_[5006] = vX_[5468] * 0.47422804 + vX_[5480] * 2.1e-05 + (0 - vX_[5469]) * 0.084376 + (0 - vX_[5478]) * -0.007418;
+ vX_[5026] = (0 - vX_[5472]) * 0.0825825;
+ vX_[2751] = (0 - vX_[5473]) * 0.47422804;
+ vX_[2008] = vX_[5469] * -0.000102;
+ vX_[2828] = (0 - vX_[5478]) * 2.1e-05;
+ vX_[2737] = vX_[5026] + vX_[2751] + vX_[2008] + vX_[2828];
+ vX_[2737] = vX_[1967] + vX_[5976] * vX_[764] + vX_[3533] * vX_[54] + vX_[5015] * vX_[4066] + vX_[4862] * vX_[4091] +
+ vX_[2009] * vX_[4072] + vX_[5006] * vX_[4074] + vX_[2737] * vX_[4082] + vX_[2737] * vX_[4082];
+ vX_[7855] = vX_[5468] * 3.146 + (0 - vX_[5469]) * 0.47422804 + vX_[5478] * 0.0825825;
+ vX_[5096] = vX_[5472] * vX_[102] + vX_[5473] * vX_[101] + vX_[5469] * vX_[80] + vX_[5478] * vX_[74];
+ vX_[5015] =
+ vX_[5976] * vX_[7] + vX_[3533] * vX_[51] + vX_[5015] * vX_[4082] + vX_[7855] * vX_[4074] + vX_[5096] * x_in[34];
+ vX_[5088] = 0 - vX_[7855];
+ vX_[5072] = vX_[5472] * vX_[100] + vX_[5473] * vX_[102] + vX_[5469] * vX_[86] + vX_[5478] * vX_[85];
+ vX_[4862] = vX_[5976] * vX_[756] + vX_[3533] * vX_[7] + vX_[4862] * vX_[4082] + vX_[5088] * vX_[4072] -
+ vX_[5072] * x_in[34];
+ vX_[5052] = 0 - vX_[5974];
+ vX_[5547] = vX_[5456] * 0.5824264 + (0 - vX_[5467]) * -0.022734 + vX_[5463] * -3.6e-05 + vX_[5465] * -0.133138;
+ vX_[5552] = vX_[5456] * 0.1466472 + vX_[5467] * 0.009466 + (0 - vX_[5463]) * -5.1e-05 + vX_[5465] * -0.022734;
+ vX_[5546] = (0 - vX_[5457]) * 0.5824264;
+ vX_[5545] = (0 - vX_[5460]) * 0.1466472;
+ vX_[5542] = (0 - vX_[5467]) * -3.6e-05;
+ vX_[5549] = (0 - vX_[5465]) * -5.1e-05;
+ vX_[5548] = vX_[5546] + vX_[5545] + vX_[5542] - vX_[5549];
+ vX_[5882] = vX_[5457] * vX_[158] + vX_[5456] * vX_[514] + vX_[5460] * vX_[566] + vX_[5463] * vX_[565] +
+ vX_[5465] * vX_[122];
+ vX_[5548] = vX_[2737] + vX_[5015] * vX_[752] + vX_[4862] * vX_[93] + vX_[5535] * vX_[4095] + vX_[5052] * vX_[3880] +
+ vX_[5547] * vX_[4085] + vX_[5552] * vX_[4092] + vX_[5548] * vX_[4104] + vX_[5548] * vX_[4104] +
+ vX_[5882] * x_in[33];
+ vX_[6549] = vX_[5028] - vX_[5449];
+ vX_[3284] = vX_[6549] * vX_[126] + vX_[1979] * vX_[1];
+ vX_[3118] = vX_[6549] * vX_[139] + vX_[1979] * vX_[126];
+ vX_[5131] = vX_[3118] + vX_[5428];
+ vX_[5132] = vX_[3284] * vX_[139] + vX_[5131] * vX_[126] + vX_[5004] * vX_[1];
+ vX_[5134] = 0 - vX_[5132];
+ vX_[5116] = vX_[5449] + vX_[3284] * vX_[126] + vX_[5428] * vX_[1];
+ vX_[5117] = 0 - vX_[5116];
+ vX_[6536] = vX_[5449] + vX_[3118] * vX_[139] + vX_[5004] * vX_[126];
+ vX_[5442] = vX_[5431] + vX_[5442] - vX_[1539];
+ vX_[5431] = vX_[1545] * vX_[126] + vX_[1539] * vX_[1];
+ vX_[5119] = 0 - (vX_[5442] * vX_[139] + vX_[5443] * vX_[126]) + vX_[5431];
+ vX_[3913] = vX_[5119] + vX_[5116] * vX_[127];
+ vX_[5121] = 0 - vX_[3913];
+ vX_[4331] = vX_[1545] * vX_[139] + vX_[1539] * vX_[126];
+ vX_[4558] = vX_[5442] * vX_[126] + vX_[5443] * vX_[1] + vX_[4331];
+ vX_[5122] = 0 - vX_[6536];
+ vX_[4378] = vX_[4558] + vX_[5132] * vX_[127] + vX_[5122] * vX_[27];
+ vX_[1981] = vX_[5430] + vX_[1981];
+ vX_[5430] = vX_[2003] * vX_[126] + vX_[1981] * vX_[139];
+ vX_[5848] = vX_[5430] * vX_[126] + vX_[5434] * vX_[1];
+ vX_[5291] = vX_[5419] + vX_[5291];
+ vX_[1452] = 0 - vX_[1452];
+ vX_[5419] = vX_[5291] * vX_[139] + vX_[1452] * vX_[126];
+ vX_[4696] = 0 - vX_[5419];
+ vX_[6124] = vX_[5848] + vX_[4696] * vX_[27] + vX_[5117] * vX_[141];
+ vX_[4514] = 0 - vX_[6124];
+ vX_[3933] = vX_[2003] * vX_[1] + vX_[1981] * vX_[126];
+ vX_[6564] = vX_[3933] * vX_[139] + vX_[5425] * vX_[126];
+ vX_[3524] = vX_[5291] * vX_[126] + vX_[1235] * vX_[1];
+ vX_[6152] = 0 - vX_[3524];
+ vX_[4984] = vX_[6564] + vX_[6152] * vX_[127] + vX_[6536] * vX_[141];
+ vX_[4747] = vX_[3933] * vX_[126] + vX_[5425] * vX_[1];
+ vX_[5210] = vX_[4747] + vX_[5419] * vX_[127];
+ vX_[4716] = vX_[5430] * vX_[139] + vX_[5434] * vX_[126];
+ vX_[4740] = vX_[4716] + vX_[3524] * vX_[27] + vX_[5134] * vX_[141];
+ vX_[5113] = 0 - vX_[5210] + vX_[4740];
+ vX_[5114] = 0 - vX_[5132];
+ vX_[5148] = 0 - vX_[5116];
+ vX_[5117] = vX_[5134] * vX_[569] + vX_[5117] * vX_[517] + vX_[6536] * vX_[105] + vX_[5121] * vX_[142] +
+ vX_[4378] * vX_[153] + vX_[4514] * vX_[134] + vX_[4984] * vX_[128] + vX_[5113] * vX_[125] +
+ vX_[5114] * vX_[566] + vX_[5132] * vX_[563] + vX_[5148] * vX_[516] + vX_[6536] * vX_[520];
+ vX_[5134] = vX_[5456] * -3.44;
+ vX_[5175] = vX_[5467] * 0.1466472;
+ vX_[5150] = vX_[5465] * 0.5824264;
+ vX_[5149] = 0 - vX_[5134] + vX_[5175] - vX_[5150];
+ vX_[5155] = vX_[5457] * vX_[153] + vX_[5456] * vX_[128] + vX_[5460] * vX_[125] + vX_[5463] * vX_[563] +
+ vX_[5465] * vX_[514];
+ vX_[5052] = vX_[5015] * vX_[751] + vX_[4862] * vX_[75] + vX_[5149] * vX_[4085] + vX_[5052] * vX_[4104] -
+ vX_[5155] * x_in[33];
+ vX_[5449] = vX_[5028] + vX_[1927] + vX_[5449] - vX_[5116] - vX_[6536];
+ vX_[1927] = 0 - vX_[5449];
+ vX_[5431] = vX_[5431] + vX_[1927] * vX_[127];
+ vX_[4331] = vX_[4331] + vX_[5449] * vX_[27];
+ vX_[5028] = 0 - vX_[4378];
+ vX_[5156] = 0 - vX_[4984];
+ vX_[1458] = vX_[1301] + vX_[1458] + vX_[1981] + vX_[1972] - vX_[4747] - vX_[4716];
+ vX_[4740] = vX_[1458] - vX_[4740];
+ vX_[1301] = 0 - vX_[5419];
+ vX_[3955] = 0 - vX_[5132];
+ vX_[3949] = 0 - vX_[6536];
+ vX_[6948] = vX_[1977] - vX_[5444];
+ vX_[2651] = vX_[5436] + vX_[2651];
+ vX_[5436] = vX_[6948] * vX_[126] + vX_[1924] * vX_[1];
+ vX_[6572] = vX_[6948] * vX_[139] + vX_[1924] * vX_[126];
+ vX_[5485] = vX_[5481] * 0.1104774 + vX_[5483] * -0.0004405 + vX_[5485] * 0.025941;
+ vX_[6956] = (0 - vX_[5470]) * 8.81e-05;
+ vX_[5009] = vX_[6956] + vX_[5009];
+ vX_[5489] = vX_[5470] * -0.0004405 + vX_[5481] * -8.81e-05 + vX_[5489] * 0.000468;
+ vX_[5009] = vX_[1849] * vX_[4062] + vX_[5024] * vX_[4061] + vX_[5030] * vX_[4071] + vX_[5485] * vX_[4070] +
+ vX_[5009] * vX_[4053] + vX_[5009] * vX_[4053] + vX_[5489] * x_in[35];
+ vX_[6956] = vX_[6956] + vX_[4575];
+ vX_[5487] = vX_[5470] * -0.1104774 + vX_[5483] * 8.81e-05 + vX_[5487] * 0.026409;
+ vX_[6956] = vX_[3111] * vX_[4062] + vX_[2739] * vX_[1994] + vX_[5435] * vX_[4071] + vX_[5485] * vX_[4053] +
+ vX_[6956] * vX_[4070] + vX_[6956] * vX_[4070] - vX_[5487] * x_in[35];
+ vX_[5485] = vX_[5472] * 0.47422804 + vX_[5473] * 0.0825825 + vX_[5480] * 0.081641 + (0 - vX_[5469]) * 2.1e-05 +
+ vX_[5478] * -0.000102;
+ vX_[2739] = (0 - vX_[5480]) * -0.007418;
+ vX_[2828] = vX_[2751] + vX_[2739] - vX_[2828];
+ vX_[2751] =
+ vX_[5468] * vX_[69] + vX_[5472] * vX_[85] + vX_[5473] * vX_[74] + vX_[5469] * vX_[117] + vX_[5478] * vX_[113];
+ vX_[2828] = vX_[3946] * -0.35 + vX_[5009] * vX_[7] + vX_[6956] * vX_[51] + vX_[5538] * vX_[4064] +
+ vX_[5088] * vX_[4091] + vX_[2009] * vX_[4082] + vX_[5485] * vX_[4074] + vX_[2828] * vX_[4072] +
+ vX_[2828] * vX_[4072] + vX_[2751] * x_in[34];
+ vX_[2739] = vX_[5026] - vX_[2739] - vX_[2008];
+ vX_[2008] =
+ vX_[5468] * vX_[82] + vX_[5472] * vX_[86] + vX_[5473] * vX_[80] + vX_[5469] * vX_[111] + vX_[5478] * vX_[117];
+ vX_[2739] = vX_[5009] * vX_[52] + vX_[6956] * vX_[7] + vX_[5011] * vX_[4064] + vX_[7855] * vX_[4066] +
+ vX_[5006] * vX_[4082] + vX_[5485] * vX_[4072] + vX_[2739] * vX_[4074] + vX_[2739] * vX_[4074] -
+ vX_[2008] * x_in[34];
+ vX_[5150] = vX_[5134] - vX_[5175] + vX_[5150];
+ vX_[5175] = vX_[5457] * 0.1466472 + vX_[5460] * 0.5824264 + vX_[5467] * -5.1e-05 + (0 - vX_[5463]) * -0.123672 +
+ (0 - vX_[5465]) * -3.6e-05;
+ vX_[5134] = vX_[5463] * -0.022734;
+ vX_[5542] = vX_[5546] - vX_[5542] - vX_[5134];
+ vX_[5546] =
+ vX_[5457] * vX_[96] + vX_[5456] * vX_[563] + vX_[5460] * vX_[515] + vX_[5463] * vX_[513] + vX_[5465] * vX_[565];
+ vX_[5542] = vX_[2828] * vX_[4] + vX_[2739] * vX_[75] + vX_[5150] * vX_[4095] + vX_[5974] * vX_[4096] +
+ vX_[5175] * vX_[4085] + vX_[5552] * vX_[4104] + vX_[5542] * vX_[4092] + vX_[5542] * vX_[4092] -
+ vX_[5546] * x_in[33];
+ vX_[5516] = vX_[5516] * vX_[1986];
+ vX_[5517] = vX_[5517] * vX_[1986];
+ vX_[5552] = vX_[5516] * vX_[7] + vX_[5517] * vX_[51];
+ vX_[5518] = vX_[5518] * vX_[1986];
+ vX_[5488] = vX_[5488] * vX_[1975];
+ vX_[5974] = vX_[5488] * vX_[7];
+ vX_[5485] = vX_[5488] * vX_[51];
+ vX_[5504] = vX_[5504] * vX_[1993];
+ vX_[7855] = vX_[5504] * vX_[51];
+ vX_[5490] = vX_[5490] * vX_[1975];
+ vX_[5006] = vX_[5490] * vX_[7];
+ vX_[5011] = 0 - vX_[5006];
+ vX_[5026] = vX_[5490] * vX_[51];
+ vX_[5088] = 0 - vX_[5485];
+ vX_[2009] = 0 - vX_[5504];
+ vX_[5538] = vX_[2009] * vX_[7];
+ vX_[5505] = vX_[5505] * vX_[1993];
+ vX_[3946] = 0 - vX_[5505];
+ vX_[5435] = vX_[3946] * vX_[51];
+ vX_[3111] = vX_[5505] * vX_[7];
+ vX_[5492] = vX_[5492] * vX_[1983];
+ vX_[5483] = vX_[5516] + vX_[5492];
+ vX_[5493] = vX_[5493] * vX_[1983];
+ vX_[5470] = 0 - vX_[5517] - vX_[5493];
+ vX_[4575] = vX_[5483] * vX_[51] + vX_[5470] * vX_[7];
+ vX_[5024] = vX_[5492] * vX_[7] + vX_[5493] * vX_[51];
+ vX_[5510] = vX_[5510] * vX_[1993] + vX_[5498] * vX_[1975];
+ vX_[5498] = 0 - vX_[5510];
+ vX_[5030] = 0 - vX_[5510];
+ vX_[1849] = vX_[5030] * vX_[7];
+ vX_[5481] = vX_[5510] * vX_[51];
+ vX_[7401] = vX_[5511] * vX_[893] + vX_[5743] * vX_[845] + vX_[5752] * vX_[877];
+ vX_[3916] = 0 - vX_[7401];
+ vX_[3915] = vX_[5511] * vX_[985] + vX_[5743] * vX_[878] + vX_[5752] * vX_[839];
+ vX_[5160] = vX_[3916] * x_in[18] + vX_[3915] * x_in[19];
+ vX_[5163] = 0 - vX_[5160];
+ vX_[6670] = 0 - vX_[5160];
+ vX_[3909] = vX_[6670] * vX_[7];
+ vX_[5174] = vX_[5160] * vX_[51];
+ vX_[5511] = vX_[5511] * vX_[875] + vX_[5743] * vX_[894] + vX_[5752] * vX_[986];
+ jac[1251] = vX_[5072] * vX_[3967] + vX_[5096] * vX_[4066] + vX_[2008] * vX_[3980] + vX_[2751] * vX_[4072] +
+ vX_[2737] + vX_[5511] * vX_[899] + vX_[7401] * vX_[851] + vX_[3915] * vX_[884];
+ jac[1287] = vX_[2030] * vX_[1988] + vX_[5013] * vX_[1994] + vX_[5487] * vX_[988] + vX_[5489] * vX_[4053] +
+ vX_[1967] + vX_[5511] * vX_[908] + vX_[7401] * vX_[862] + vX_[3915] * vX_[881];
+ vX_[5487] = vX_[5511] * x_in[35];
+ vX_[5489] = vX_[5487] * vX_[7];
+ vX_[2030] = vX_[5487] * vX_[51];
+ vX_[5013] = vX_[5511] * x_in[34];
+ vX_[1967] = vX_[5013] * vX_[51];
+ vX_[2008] = vX_[7401] * x_in[33];
+ vX_[2751] = vX_[5013] * vX_[7];
+ vX_[5072] = vX_[2008] * vX_[7];
+ vX_[5096] = vX_[2008] * vX_[51];
+ vX_[2737] = vX_[5522] * vX_[940];
+ vX_[5752] = 0 - vX_[2737];
+ vX_[5743] = 0 - vX_[2737];
+ vX_[5162] = vX_[5743] * vX_[7];
+ vX_[5173] = vX_[2737] * vX_[51];
+ vX_[2846] = 0 - vX_[2846];
+ vX_[3881] = vX_[6572] + vX_[5438];
+ vX_[5136] = 0 - vX_[5431];
+ vX_[4343] = 0 - vX_[4331];
+ vX_[1458] = 0 - vX_[1458] + vX_[5210];
+ vX_[5210] = 0 - vX_[3524];
+ vX_[5482] = vX_[5482] * vX_[1975];
+ vX_[5351] = vX_[5482] * vX_[51];
+ vX_[5484] = vX_[5484] * vX_[1975];
+ vX_[4373] = vX_[5484] * vX_[7];
+ vX_[5486] = vX_[5486] * vX_[1975];
+ vX_[5503] = vX_[5503] * vX_[1993];
+ vX_[5519] = vX_[5519] * vX_[1986];
+ vX_[6547] = vX_[5519] * vX_[7];
+ vX_[4390] = vX_[5519] * vX_[51];
+ vX_[5508] = vX_[5508] * vX_[810];
+ vX_[5141] = vX_[5508] * vX_[51];
+ vX_[5520] = vX_[5520] * vX_[1986];
+ vX_[4337] = vX_[5520] * vX_[7];
+ vX_[4341] = 0 - vX_[4337];
+ vX_[5135] = vX_[5520] * vX_[51];
+ vX_[5164] = 0 - vX_[5482] - vX_[5508];
+ vX_[5509] = vX_[5509] * vX_[810];
+ vX_[4027] = 0 - vX_[5484] - vX_[5509];
+ vX_[5147] = vX_[5164] * vX_[7] + vX_[4027] * vX_[51];
+ vX_[4379] = vX_[5509] * vX_[7];
+ vX_[5506] = vX_[5506] * vX_[1993] + vX_[5497] * vX_[1986];
+ vX_[5497] = vX_[5506] * vX_[7];
+ vX_[3948] = vX_[5506] * vX_[51];
+ vX_[5159] = 0 - vX_[3915];
+ vX_[5144] = vX_[5511] * x_in[18] + vX_[5159] * x_in[20];
+ vX_[5146] = vX_[5144] * vX_[7];
+ vX_[5158] = vX_[5144] * vX_[51];
+ vX_[5142] = vX_[5511] * x_in[33];
+ vX_[5171] = vX_[7401] * x_in[35];
+ vX_[5170] = 0 - vX_[5171];
+ vX_[5139] = vX_[5170] * vX_[7];
+ vX_[4352] = vX_[5171] * vX_[51];
+ vX_[6138] = vX_[7401] * x_in[34];
+ vX_[4391] = 0 - vX_[6138];
+ vX_[5128] = vX_[5142] * vX_[7];
+ vX_[5133] = 0 - vX_[6138];
+ vX_[5127] = vX_[5133] * vX_[7];
+ vX_[5126] = vX_[5142] * vX_[51];
+ vX_[5123] = vX_[6138] * vX_[51];
+ vX_[5130] = vX_[5522] * vX_[929];
+ vX_[5129] = vX_[5130] * vX_[7];
+ vX_[4775] = vX_[5130] * vX_[51];
+ jac[567] =
+ 0 -
+ (vX_[5437] * vX_[776] + vX_[5424] * vX_[957] + vX_[5567] * vX_[699] + vX_[1924] * vX_[701] +
+ vX_[5433] * vX_[142] + vX_[5438] * vX_[389] + vX_[2037] * vX_[125] + vX_[2003] * vX_[674] +
+ vX_[1539] * vX_[150] + vX_[1972] * vX_[643] + vX_[5425] * vX_[642] + vX_[5434] * vX_[639] +
+ vX_[5443] * vX_[159] + vX_[5432] * vX_[573] + vX_[1979] * vX_[575] + vX_[1235] * vX_[623] +
+ vX_[5428] * vX_[519] + vX_[5004] * vX_[570] + vX_[5981] * x_in[22] + vX_[5548] * x_in[19] +
+ (vX_[5429] * vX_[776] + vX_[5117] * vX_[139] + vX_[5981] * x_in[20]) * -0.3735 -
+ (vX_[5439] * vX_[4079] + vX_[5052] * x_in[23]) + (vX_[5424] * vX_[4079] + vX_[5052] * x_in[19]) * -0.3735 +
+ (vX_[5455] * vX_[4079] + vX_[4696] * vX_[517] + vX_[3524] * vX_[569] + vX_[5449] * vX_[152] +
+ vX_[5122] * vX_[154] + vX_[5431] * vX_[125] + vX_[4331] * vX_[134] + vX_[5028] * vX_[137] +
+ vX_[5156] * vX_[153] + vX_[4740] * vX_[142] + vX_[1301] * vX_[515] + vX_[3524] * vX_[566] +
+ vX_[3955] * vX_[96] + vX_[3949] * vX_[522] + vX_[5052] * x_in[18]) *
+ 0.207 -
+ (vX_[5429] * vX_[951] + vX_[6948] * vX_[698] + vX_[2651] * vX_[684] + vX_[5436] * vX_[125] +
+ vX_[6572] * vX_[271] + vX_[5445] * vX_[640] + vX_[1545] * vX_[160] + vX_[1981] * vX_[675] +
+ vX_[3933] * vX_[641] + vX_[5430] * vX_[568] + vX_[5442] * vX_[149] + vX_[6549] * vX_[572] +
+ vX_[5291] * vX_[622] + vX_[3284] * vX_[570] + vX_[3118] * vX_[523] + vX_[5117] * vX_[140] +
+ vX_[5542] * x_in[20]) +
+ vX_[5471] * vX_[1975] + vX_[5507] * vX_[810] + vX_[5552] * vX_[9] + (0 - vX_[5518]) * 0.3735 +
+ vX_[5518] * vX_[9] * -0.35 + vX_[5974] * 0.35 + vX_[5974] * vX_[75] * 0.08 + vX_[5974] * vX_[9] * 0.3735 +
+ vX_[5485] * vX_[75] * 0.3735 + vX_[7855] * vX_[75] * -0.207 + vX_[5011] * vX_[75] * 0.3735 +
+ vX_[5026] * 0.35 + (vX_[5088] * vX_[9] + vX_[5026] * vX_[75]) * 0.08 + vX_[5026] * vX_[9] * 0.3735 +
+ (vX_[5538] * vX_[9] + vX_[5435] * vX_[9]) * 0.207 + vX_[3111] * vX_[75] * 0.207 + vX_[4575] * vX_[75] +
+ vX_[5024] * vX_[9] + (vX_[5006] * vX_[9] - vX_[5510]) * 0.08 + vX_[5498] * vX_[75] * 0.35 +
+ vX_[1849] * vX_[75] * 0.33 + vX_[5481] * vX_[9] * 0.33 + (0 - vX_[5160]) * 0.08 +
+ vX_[5163] * vX_[75] * 0.35 + vX_[3909] * vX_[75] * 0.33 + vX_[5174] * vX_[9] * 0.33 +
+ vX_[5489] * vX_[9] * 0.33 + vX_[2030] * vX_[75] * 0.33 + vX_[5013] * vX_[9] * 0.35 +
+ vX_[1967] * vX_[75] * 0.33 + vX_[2008] * 0.08 + vX_[2008] * vX_[75] * 0.35 +
+ (vX_[2751] * vX_[9] + vX_[5072] * vX_[75]) * 0.33 + vX_[5096] * vX_[9] * -0.33 + (0 - vX_[2737]) * 0.08 +
+ vX_[5752] * vX_[75] * 0.35 + vX_[5162] * vX_[75] * 0.33 + vX_[5173] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[5439] * vX_[776] + vX_[5437] * vX_[4079] + vX_[5429] * vX_[957] + vX_[5424] * vX_[951] +
+ vX_[6948] * vX_[701] + vX_[5567] * vX_[697] + vX_[1924] * vX_[698] + vX_[2651] * vX_[142] +
+ vX_[2846] * vX_[684] + vX_[5436] * vX_[389] + vX_[3881] * vX_[125] + vX_[2037] * vX_[271] +
+ vX_[2003] * vX_[675] + vX_[5445] * vX_[643] + vX_[1545] * vX_[150] + vX_[1539] * vX_[160] +
+ vX_[1981] * vX_[674] + vX_[1972] * vX_[640] + vX_[3933] * vX_[642] + vX_[5430] * vX_[639] +
+ vX_[5425] * vX_[641] + vX_[5434] * vX_[568] + vX_[5442] * vX_[159] + vX_[5443] * vX_[149] +
+ vX_[6549] * vX_[575] + vX_[5432] * vX_[571] + vX_[1979] * vX_[572] + vX_[5291] * vX_[623] +
+ vX_[1452] * vX_[622] + vX_[3284] * vX_[519] + vX_[5131] * vX_[570] + vX_[5004] * vX_[523] +
+ vX_[5117] * vX_[138] +
+ (vX_[5419] * vX_[567] + vX_[6152] * vX_[105] + vX_[5132] * vX_[154] + vX_[1927] * vX_[129] +
+ vX_[5116] * vX_[143] + vX_[5136] * vX_[128] + vX_[3913] * vX_[137] + vX_[4343] * vX_[125] +
+ vX_[6124] * vX_[142] + vX_[1458] * vX_[153] + vX_[5419] * vX_[563] + vX_[5210] * vX_[514] +
+ vX_[5132] * vX_[158] + vX_[5116] * vX_[511]) *
+ 0.207 +
+ vX_[5981] * x_in[23] + vX_[5052] * x_in[22] + vX_[5548] * x_in[20] + vX_[5542] * x_in[19] +
+ (vX_[5424] * vX_[776] + vX_[5117] * vX_[126] + vX_[5981] * x_in[19]) * 0.3735 +
+ (vX_[5455] * vX_[776] + vX_[5981] * x_in[18]) * -0.207 +
+ (vX_[5429] * vX_[4079] + vX_[5052] * x_in[20]) * -0.3735 + vX_[5515] * vX_[1986] + vX_[5491] * vX_[1983] -
+ vX_[5351] * vX_[75] + vX_[4373] * vX_[75] + vX_[5486] * 0.3735 + vX_[5486] * vX_[9] * 0.35 +
+ (0 - vX_[5503]) * 0.207 + vX_[6547] * 0.35 + vX_[6547] * vX_[75] * 0.08 + vX_[6547] * vX_[9] * 0.3735 +
+ vX_[4390] * vX_[75] * 0.3735 + (0 - vX_[4390] * vX_[9]) * 0.08 - vX_[5141] * vX_[75] +
+ vX_[4341] * vX_[75] * 0.3735 + vX_[4337] * vX_[9] * 0.08 + vX_[5135] * 0.35 + vX_[5135] * vX_[75] * 0.08 +
+ vX_[5135] * vX_[9] * 0.3735 + vX_[5147] * vX_[9] + vX_[4379] * vX_[75] + vX_[5506] * 0.08 +
+ vX_[5506] * vX_[75] * 0.35 + vX_[5497] * vX_[75] * 0.33 + vX_[3948] * vX_[9] * -0.33 + vX_[5144] * 0.08 +
+ vX_[5144] * vX_[75] * 0.35 + vX_[5146] * vX_[75] * 0.33 + vX_[5158] * vX_[9] * -0.33 + vX_[5142] * 0.08 +
+ vX_[5142] * vX_[75] * 0.35 + vX_[5139] * vX_[9] * 0.33 + vX_[4352] * vX_[75] * -0.33 +
+ vX_[4391] * vX_[9] * 0.35 + (vX_[5128] * vX_[75] + vX_[5127] * vX_[9]) * 0.33 +
+ (vX_[5126] * vX_[9] + vX_[5123] * vX_[75]) * -0.33 + vX_[5130] * 0.08 + vX_[5130] * vX_[75] * 0.35 +
+ vX_[5129] * vX_[75] * 0.33 + vX_[4775] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[6948] = vX_[5440] - vX_[5873];
+ vX_[827] = vX_[5867] + vX_[827];
+ vX_[2029] = vX_[5862] + vX_[2029];
+ vX_[5862] = 0 - vX_[2029];
+ vX_[5867] = vX_[6948] * vX_[1];
+ vX_[1927] = vX_[6948] * vX_[126];
+ vX_[992] = vX_[5864] + vX_[992];
+ vX_[921] = vX_[1181] + vX_[921];
+ vX_[833] = vX_[5863] + vX_[833];
+ vX_[5874] = vX_[5854] + vX_[5874];
+ vX_[5854] = vX_[5874] * vX_[126] + vX_[833] * vX_[1];
+ vX_[5863] = vX_[5874] * vX_[139] + vX_[833] * vX_[126];
+ vX_[910] = vX_[1548] + vX_[910];
+ vX_[5872] = 0 - (vX_[5861] + vX_[5872]) + vX_[910];
+ vX_[5861] = vX_[1238] - vX_[5878];
+ vX_[3743] = vX_[5857] + vX_[3743];
+ vX_[939] = vX_[9100] + vX_[939];
+ vX_[9100] = 0 - vX_[939];
+ vX_[5857] = vX_[5861] * vX_[1];
+ vX_[1548] = vX_[5861] * vX_[126];
+ vX_[1181] = vX_[5912] * 0.881 + (0 - vX_[5914]) * -0.0004405 + vX_[5916] * 8.81e-05;
+ vX_[5864] = vX_[5910] * -0.881;
+ vX_[5449] = vX_[5914] * 0.1104774;
+ vX_[5117] = vX_[5918] * 8.81e-05;
+ vX_[6152] = vX_[5864] - vX_[5449] + vX_[5117];
+ vX_[3933] = vX_[1181] * vX_[4053] + vX_[6152] * vX_[4070];
+ vX_[4696] = vX_[5902] * 3.146 + (0 - vX_[5909]) * 0.0825825;
+ vX_[1452] = vX_[5901] * -3.146;
+ vX_[5291] = vX_[5909] * 0.47422804;
+ vX_[5430] = vX_[1452] - vX_[5291];
+ vX_[1981] = vX_[3933] + vX_[4696] * vX_[4072] + vX_[5430] * vX_[4074];
+ vX_[5122] = vX_[5889] * 3.44 + vX_[5892] * 0.5824264;
+ vX_[5442] = 0 - vX_[5122];
+ vX_[5131] = vX_[5886] * 3.44 + (0 - vX_[5892]) * 0.1466472;
+ vX_[3118] = vX_[5886] * vX_[142] + vX_[5885] * vX_[125] + vX_[5889] * vX_[134] + vX_[5892] * vX_[515] +
+ vX_[5894] * vX_[566];
+ vX_[3284] = vX_[1981] + vX_[5442] * vX_[4085] + vX_[5131] * vX_[4092] + vX_[3118] * x_in[33];
+ vX_[6549] = 0 - vX_[1181];
+ vX_[5117] = 0 - vX_[5864] + vX_[5449] - vX_[5117];
+ vX_[5449] = vX_[5899] * -0.0004405 + vX_[5910] * 8.81e-05 + vX_[5918] * -0.000227999999999999;
+ vX_[5864] = vX_[5899] * 0.1104774 + vX_[5912] * 8.81e-05 + (0 - vX_[5916]) * 0.025713;
+ vX_[5004] = (0 - vX_[5910]) * -0.0004405;
+ vX_[5428] = (0 - vX_[5912]) * 0.1104774;
+ vX_[1235] = vX_[5004] + vX_[5428];
+ vX_[1235] = vX_[6549] * vX_[1994] + vX_[5117] * vX_[4061] + vX_[5449] * vX_[4053] + vX_[5864] * vX_[4070] +
+ vX_[1235] * vX_[4071] + vX_[1235] * vX_[4071];
+ vX_[1979] = vX_[5899] * 0.881 + (0 - vX_[5916]) * 0.1104774 + vX_[5918] * -0.0004405;
+ vX_[5432] = vX_[5910] * -0.00185880198235362 + vX_[5912] * 0.880992588508842 + vX_[5916] * 8.81e-05;
+ vX_[6549] = vX_[6549] * vX_[4071] + vX_[1979] * vX_[4070] + vX_[5432] * x_in[35];
+ vX_[5443] = 0 - vX_[1979];
+ vX_[1545] = vX_[5910] * 0.414812462825713 + vX_[5912] * -0.00185880198235362 + vX_[5918] * -8.81e-05;
+ vX_[5117] = vX_[5117] * vX_[4071] + vX_[5443] * vX_[4053] - vX_[1545] * x_in[35];
+ vX_[5434] = 0 - vX_[4696];
+ vX_[5291] = 0 - vX_[1452] + vX_[5291];
+ vX_[1452] = vX_[5897] * 0.0825825 + (0 - vX_[5909]) * -0.000102 + vX_[5898] * -0.007418 + vX_[5907] * 0.002735;
+ vX_[5425] = vX_[5897] * 0.47422804 + vX_[5909] * 2.1e-05 + (0 - vX_[5898]) * 0.084376 + (0 - vX_[5907]) * -0.007418;
+ vX_[5445] = (0 - vX_[5901]) * 0.0825825;
+ vX_[1972] = (0 - vX_[5902]) * 0.47422804;
+ vX_[1539] = vX_[5898] * -0.000102;
+ vX_[2003] = (0 - vX_[5907]) * 2.1e-05;
+ vX_[1924] = vX_[5445] + vX_[1972] + vX_[1539] + vX_[2003];
+ vX_[1924] = vX_[1235] + vX_[6549] * vX_[764] + vX_[5117] * vX_[54] + vX_[5434] * vX_[4066] + vX_[5291] * vX_[4091] +
+ vX_[1452] * vX_[4072] + vX_[5425] * vX_[4074] + vX_[1924] * vX_[4082] + vX_[1924] * vX_[4082];
+ vX_[5567] = vX_[5897] * 3.146 + (0 - vX_[5898]) * 0.47422804 + vX_[5907] * 0.0825825;
+ vX_[5515] = vX_[5901] * vX_[102] + vX_[5902] * vX_[101] + vX_[5898] * vX_[80] + vX_[5907] * vX_[74];
+ vX_[5434] =
+ vX_[6549] * vX_[7] + vX_[5117] * vX_[51] + vX_[5434] * vX_[4082] + vX_[5567] * vX_[4074] + vX_[5515] * x_in[34];
+ vX_[5507] = 0 - vX_[5567];
+ vX_[5491] = vX_[5901] * vX_[100] + vX_[5902] * vX_[102] + vX_[5898] * vX_[86] + vX_[5907] * vX_[85];
+ vX_[5291] = vX_[6549] * vX_[756] + vX_[5117] * vX_[7] + vX_[5291] * vX_[4082] + vX_[5507] * vX_[4072] -
+ vX_[5491] * x_in[34];
+ vX_[5471] = 0 - vX_[5131];
+ vX_[7532] = vX_[5885] * 0.5824264 + (0 - vX_[5896]) * -0.022734 + vX_[5892] * -3.6e-05 + vX_[5894] * -0.133138;
+ vX_[4767] = vX_[5885] * 0.1466472 + vX_[5896] * 0.009466 + (0 - vX_[5892]) * -5.1e-05 + vX_[5894] * -0.022734;
+ vX_[5728] = (0 - vX_[5886]) * 0.5824264;
+ vX_[4702] = (0 - vX_[5889]) * 0.1466472;
+ vX_[4703] = (0 - vX_[5896]) * -3.6e-05;
+ vX_[4705] = (0 - vX_[5894]) * -5.1e-05;
+ vX_[4687] = vX_[5728] + vX_[4702] + vX_[4703] - vX_[4705];
+ vX_[4688] = vX_[5886] * vX_[158] + vX_[5885] * vX_[514] + vX_[5889] * vX_[566] + vX_[5892] * vX_[565] +
+ vX_[5894] * vX_[122];
+ vX_[4687] = vX_[1924] + vX_[5434] * vX_[752] + vX_[5291] * vX_[93] + vX_[5122] * vX_[4095] + vX_[5471] * vX_[3880] +
+ vX_[7532] * vX_[4085] + vX_[4767] * vX_[4092] + vX_[4687] * vX_[4104] + vX_[4687] * vX_[4104] +
+ vX_[4688] * x_in[33];
+ vX_[8789] = vX_[5447] - vX_[5878];
+ vX_[4690] = vX_[8789] * vX_[126] + vX_[3743] * vX_[1];
+ vX_[5236] = vX_[8789] * vX_[139] + vX_[3743] * vX_[126];
+ vX_[4692] = vX_[5236] + vX_[5857];
+ vX_[5220] = vX_[4690] * vX_[139] + vX_[4692] * vX_[126] + vX_[1548] * vX_[1];
+ vX_[5237] = 0 - vX_[5220];
+ vX_[4693] = vX_[5878] + vX_[4690] * vX_[126] + vX_[5857] * vX_[1];
+ vX_[6164] = 0 - vX_[4693];
+ vX_[6486] = vX_[5878] + vX_[5236] * vX_[139] + vX_[1548] * vX_[126];
+ vX_[5871] = vX_[5860] + vX_[5871] - vX_[921];
+ vX_[5860] = vX_[910] * vX_[126] + vX_[921] * vX_[1];
+ vX_[4267] = 0 - (vX_[5871] * vX_[139] + vX_[5872] * vX_[126]) + vX_[5860];
+ vX_[5372] = vX_[4267] + vX_[4693] * vX_[127];
+ vX_[8797] = 0 - vX_[5372];
+ vX_[5246] = vX_[910] * vX_[139] + vX_[921] * vX_[126];
+ vX_[5209] = vX_[5871] * vX_[126] + vX_[5872] * vX_[1] + vX_[5246];
+ vX_[1035] = 0 - vX_[6486];
+ vX_[5197] = vX_[5209] + vX_[5220] * vX_[127] + vX_[1035] * vX_[27];
+ vX_[912] = vX_[5859] + vX_[912];
+ vX_[5859] = vX_[992] * vX_[126] + vX_[912] * vX_[139];
+ vX_[3581] = vX_[5859] * vX_[126] + vX_[5863] * vX_[1];
+ vX_[5710] = vX_[5837] + vX_[5710];
+ vX_[939] = 0 - vX_[939];
+ vX_[5837] = vX_[5710] * vX_[139] + vX_[939] * vX_[126];
+ vX_[4318] = 0 - vX_[5837];
+ vX_[4412] = vX_[3581] + vX_[4318] * vX_[27] + vX_[6164] * vX_[141];
+ vX_[4287] = 0 - vX_[4412];
+ vX_[4311] = vX_[992] * vX_[1] + vX_[912] * vX_[126];
+ vX_[4684] = vX_[4311] * vX_[139] + vX_[5854] * vX_[126];
+ vX_[4685] = vX_[5710] * vX_[126] + vX_[9100] * vX_[1];
+ vX_[4719] = 0 - vX_[4685];
+ vX_[4746] = vX_[4684] + vX_[4719] * vX_[127] + vX_[6486] * vX_[141];
+ vX_[4721] = vX_[4311] * vX_[126] + vX_[5854] * vX_[1];
+ vX_[4720] = vX_[4721] + vX_[5837] * vX_[127];
+ vX_[4726] = vX_[5859] * vX_[139] + vX_[5863] * vX_[126];
+ vX_[4727] = vX_[4726] + vX_[4685] * vX_[27] + vX_[5237] * vX_[141];
+ vX_[4778] = 0 - vX_[4720] + vX_[4727];
+ vX_[4340] = 0 - vX_[5220];
+ vX_[5724] = 0 - vX_[4693];
+ vX_[6164] = vX_[5237] * vX_[569] + vX_[6164] * vX_[517] + vX_[6486] * vX_[105] + vX_[8797] * vX_[142] +
+ vX_[5197] * vX_[153] + vX_[4287] * vX_[134] + vX_[4746] * vX_[128] + vX_[4778] * vX_[125] +
+ vX_[4340] * vX_[566] + vX_[5220] * vX_[563] + vX_[5724] * vX_[516] + vX_[6486] * vX_[520];
+ vX_[5237] = vX_[5885] * -3.44;
+ vX_[4786] = vX_[5896] * 0.1466472;
+ vX_[6583] = vX_[5894] * 0.5824264;
+ vX_[6946] = 0 - vX_[5237] + vX_[4786] - vX_[6583];
+ vX_[4791] = vX_[5886] * vX_[153] + vX_[5885] * vX_[128] + vX_[5889] * vX_[125] + vX_[5892] * vX_[563] +
+ vX_[5894] * vX_[514];
+ vX_[5471] = vX_[5434] * vX_[751] + vX_[5291] * vX_[75] + vX_[6946] * vX_[4085] + vX_[5471] * vX_[4104] -
+ vX_[4791] * x_in[33];
+ vX_[5878] = vX_[5447] + vX_[1238] + vX_[5878] - vX_[4693] - vX_[6486];
+ vX_[1238] = 0 - vX_[5878];
+ vX_[5860] = vX_[5860] + vX_[1238] * vX_[127];
+ vX_[5246] = vX_[5246] + vX_[5878] * vX_[27];
+ vX_[5447] = 0 - vX_[5197];
+ vX_[5287] = 0 - vX_[4746];
+ vX_[935] = vX_[836] + vX_[935] + vX_[912] + vX_[833] - vX_[4721] - vX_[4726];
+ vX_[4727] = vX_[935] - vX_[4727];
+ vX_[836] = 0 - vX_[5837];
+ vX_[4731] = 0 - vX_[5220];
+ vX_[4734] = 0 - vX_[6486];
+ vX_[4136] = vX_[3726] - vX_[5873];
+ vX_[2038] = vX_[5865] + vX_[2038];
+ vX_[5865] = vX_[4136] * vX_[126] + vX_[827] * vX_[1];
+ vX_[5723] = vX_[4136] * vX_[139] + vX_[827] * vX_[126];
+ vX_[5914] = vX_[5910] * 0.1104774 + vX_[5912] * -0.0004405 + vX_[5914] * 0.025941;
+ vX_[4745] = (0 - vX_[5899]) * 8.81e-05;
+ vX_[5428] = vX_[4745] + vX_[5428];
+ vX_[5918] = vX_[5899] * -0.0004405 + vX_[5910] * -8.81e-05 + vX_[5918] * 0.000468;
+ vX_[5428] = vX_[1181] * vX_[4062] + vX_[5443] * vX_[4061] + vX_[5449] * vX_[4071] + vX_[5914] * vX_[4070] +
+ vX_[5428] * vX_[4053] + vX_[5428] * vX_[4053] + vX_[5918] * x_in[35];
+ vX_[4745] = vX_[4745] + vX_[5004];
+ vX_[5916] = vX_[5899] * -0.1104774 + vX_[5912] * 8.81e-05 + vX_[5916] * 0.026409;
+ vX_[4745] = vX_[6152] * vX_[4062] + vX_[1979] * vX_[1994] + vX_[5864] * vX_[4071] + vX_[5914] * vX_[4053] +
+ vX_[4745] * vX_[4070] + vX_[4745] * vX_[4070] - vX_[5916] * x_in[35];
+ vX_[5914] = vX_[5901] * 0.47422804 + vX_[5902] * 0.0825825 + vX_[5909] * 0.081641 + (0 - vX_[5898]) * 2.1e-05 +
+ vX_[5907] * -0.000102;
+ vX_[1979] = (0 - vX_[5909]) * -0.007418;
+ vX_[2003] = vX_[1972] + vX_[1979] - vX_[2003];
+ vX_[1972] =
+ vX_[5897] * vX_[69] + vX_[5901] * vX_[85] + vX_[5902] * vX_[74] + vX_[5898] * vX_[117] + vX_[5907] * vX_[113];
+ vX_[2003] = vX_[3933] * -0.35 + vX_[5428] * vX_[7] + vX_[4745] * vX_[51] + vX_[4696] * vX_[4064] +
+ vX_[5507] * vX_[4091] + vX_[1452] * vX_[4082] + vX_[5914] * vX_[4074] + vX_[2003] * vX_[4072] +
+ vX_[2003] * vX_[4072] + vX_[1972] * x_in[34];
+ vX_[1979] = vX_[5445] - vX_[1979] - vX_[1539];
+ vX_[1539] =
+ vX_[5897] * vX_[82] + vX_[5901] * vX_[86] + vX_[5902] * vX_[80] + vX_[5898] * vX_[111] + vX_[5907] * vX_[117];
+ vX_[1979] = vX_[5428] * vX_[52] + vX_[4745] * vX_[7] + vX_[5430] * vX_[4064] + vX_[5567] * vX_[4066] +
+ vX_[5425] * vX_[4082] + vX_[5914] * vX_[4072] + vX_[1979] * vX_[4074] + vX_[1979] * vX_[4074] -
+ vX_[1539] * x_in[34];
+ vX_[6583] = vX_[5237] - vX_[4786] + vX_[6583];
+ vX_[4786] = vX_[5886] * 0.1466472 + vX_[5889] * 0.5824264 + vX_[5896] * -5.1e-05 + (0 - vX_[5892]) * -0.123672 +
+ (0 - vX_[5894]) * -3.6e-05;
+ vX_[5237] = vX_[5892] * -0.022734;
+ vX_[4703] = vX_[5728] - vX_[4703] - vX_[5237];
+ vX_[5728] =
+ vX_[5886] * vX_[96] + vX_[5885] * vX_[563] + vX_[5889] * vX_[515] + vX_[5892] * vX_[513] + vX_[5894] * vX_[565];
+ vX_[4703] = vX_[2003] * vX_[4] + vX_[1979] * vX_[75] + vX_[6583] * vX_[4095] + vX_[5131] * vX_[4096] +
+ vX_[4786] * vX_[4085] + vX_[4767] * vX_[4104] + vX_[4703] * vX_[4092] + vX_[4703] * vX_[4092] -
+ vX_[5728] * x_in[33];
+ vX_[5945] = vX_[5945] * vX_[1986];
+ vX_[5946] = vX_[5946] * vX_[1986];
+ vX_[4767] = vX_[5945] * vX_[7] + vX_[5946] * vX_[51];
+ vX_[5947] = vX_[5947] * vX_[1986];
+ vX_[5917] = vX_[5917] * vX_[1975];
+ vX_[5131] = vX_[5917] * vX_[7];
+ vX_[5914] = vX_[5917] * vX_[51];
+ vX_[5933] = vX_[5933] * vX_[1993];
+ vX_[5567] = vX_[5933] * vX_[51];
+ vX_[5919] = vX_[5919] * vX_[1975];
+ vX_[5425] = vX_[5919] * vX_[7];
+ vX_[5430] = 0 - vX_[5425];
+ vX_[5445] = vX_[5919] * vX_[51];
+ vX_[5507] = 0 - vX_[5914];
+ vX_[1452] = 0 - vX_[5933];
+ vX_[4696] = vX_[1452] * vX_[7];
+ vX_[5934] = vX_[5934] * vX_[1993];
+ vX_[3933] = 0 - vX_[5934];
+ vX_[5864] = vX_[3933] * vX_[51];
+ vX_[6152] = vX_[5934] * vX_[7];
+ vX_[5921] = vX_[5921] * vX_[1983];
+ vX_[5912] = vX_[5945] + vX_[5921];
+ vX_[5922] = vX_[5922] * vX_[1983];
+ vX_[5899] = 0 - vX_[5946] - vX_[5922];
+ vX_[5004] = vX_[5912] * vX_[51] + vX_[5899] * vX_[7];
+ vX_[5443] = vX_[5921] * vX_[7] + vX_[5922] * vX_[51];
+ vX_[5939] = vX_[5939] * vX_[1993] + vX_[5927] * vX_[1975];
+ vX_[5927] = 0 - vX_[5939];
+ vX_[5449] = 0 - vX_[5939];
+ vX_[1181] = vX_[5449] * vX_[7];
+ vX_[5910] = vX_[5939] * vX_[51];
+ vX_[4733] = vX_[5940] * vX_[893] + vX_[6172] * vX_[845] + vX_[6181] * vX_[877];
+ vX_[4744] = 0 - vX_[4733];
+ vX_[4818] = vX_[5940] * vX_[985] + vX_[6172] * vX_[878] + vX_[6181] * vX_[839];
+ vX_[4707] = vX_[4744] * x_in[18] + vX_[4818] * x_in[19];
+ vX_[5268] = 0 - vX_[4707];
+ vX_[4922] = 0 - vX_[4707];
+ vX_[1307] = vX_[4922] * vX_[7];
+ vX_[6127] = vX_[4707] * vX_[51];
+ vX_[5940] = vX_[5940] * vX_[875] + vX_[6172] * vX_[894] + vX_[6181] * vX_[986];
+ jac[1252] = vX_[5491] * vX_[3967] + vX_[5515] * vX_[4066] + vX_[1539] * vX_[3980] + vX_[1972] * vX_[4072] +
+ vX_[1924] + vX_[5940] * vX_[899] + vX_[4733] * vX_[851] + vX_[4818] * vX_[884];
+ jac[1288] = vX_[1545] * vX_[1988] + vX_[5432] * vX_[1994] + vX_[5916] * vX_[988] + vX_[5918] * vX_[4053] +
+ vX_[1235] + vX_[5940] * vX_[908] + vX_[4733] * vX_[862] + vX_[4818] * vX_[881];
+ vX_[5916] = vX_[5940] * x_in[35];
+ vX_[5918] = vX_[5916] * vX_[7];
+ vX_[1545] = vX_[5916] * vX_[51];
+ vX_[5432] = vX_[5940] * x_in[34];
+ vX_[1235] = vX_[5432] * vX_[51];
+ vX_[1539] = vX_[4733] * x_in[33];
+ vX_[1972] = vX_[5432] * vX_[7];
+ vX_[5491] = vX_[1539] * vX_[7];
+ vX_[5515] = vX_[1539] * vX_[51];
+ vX_[1924] = vX_[5951] * vX_[940];
+ vX_[6181] = 0 - vX_[1924];
+ vX_[6172] = 0 - vX_[1924];
+ vX_[5231] = vX_[6172] * vX_[7];
+ vX_[4712] = vX_[1924] * vX_[51];
+ vX_[2029] = 0 - vX_[2029];
+ vX_[4985] = vX_[5723] + vX_[5867];
+ vX_[4800] = 0 - vX_[5860];
+ vX_[4706] = 0 - vX_[5246];
+ vX_[935] = 0 - vX_[935] + vX_[4720];
+ vX_[4720] = 0 - vX_[4685];
+ vX_[5911] = vX_[5911] * vX_[1975];
+ vX_[4735] = vX_[5911] * vX_[51];
+ vX_[5913] = vX_[5913] * vX_[1975];
+ vX_[5654] = vX_[5913] * vX_[7];
+ vX_[5915] = vX_[5915] * vX_[1975];
+ vX_[5932] = vX_[5932] * vX_[1993];
+ vX_[5948] = vX_[5948] * vX_[1986];
+ vX_[4718] = vX_[5948] * vX_[7];
+ vX_[4759] = vX_[5948] * vX_[51];
+ vX_[5937] = vX_[5937] * vX_[810];
+ vX_[5232] = vX_[5937] * vX_[51];
+ vX_[5949] = vX_[5949] * vX_[1986];
+ vX_[4730] = vX_[5949] * vX_[7];
+ vX_[4715] = 0 - vX_[4730];
+ vX_[4717] = vX_[5949] * vX_[51];
+ vX_[4729] = 0 - vX_[5911] - vX_[5937];
+ vX_[5938] = vX_[5938] * vX_[810];
+ vX_[4713] = 0 - vX_[5913] - vX_[5938];
+ vX_[4742] = vX_[4729] * vX_[7] + vX_[4713] * vX_[51];
+ vX_[4741] = vX_[5938] * vX_[7];
+ vX_[5935] = vX_[5935] * vX_[1993] + vX_[5926] * vX_[1986];
+ vX_[5926] = vX_[5935] * vX_[7];
+ vX_[4710] = vX_[5935] * vX_[51];
+ vX_[2040] = 0 - vX_[4818];
+ vX_[5215] = vX_[5940] * x_in[18] + vX_[2040] * x_in[20];
+ vX_[5217] = vX_[5215] * vX_[7];
+ vX_[4699] = vX_[5215] * vX_[51];
+ vX_[4704] = vX_[5940] * x_in[33];
+ vX_[4698] = vX_[4733] * x_in[35];
+ vX_[4697] = 0 - vX_[4698];
+ vX_[4694] = vX_[4697] * vX_[7];
+ vX_[4701] = vX_[4698] * vX_[51];
+ vX_[4700] = vX_[4733] * x_in[34];
+ vX_[4409] = 0 - vX_[4700];
+ vX_[5214] = vX_[4704] * vX_[7];
+ vX_[5513] = 0 - vX_[4700];
+ vX_[4762] = vX_[5513] * vX_[7];
+ vX_[4273] = vX_[4704] * vX_[51];
+ vX_[4274] = vX_[4700] * vX_[51];
+ vX_[4276] = vX_[5951] * vX_[929];
+ vX_[4258] = vX_[4276] * vX_[7];
+ vX_[4259] = vX_[4276] * vX_[51];
+ jac[568] =
+ 0 -
+ (vX_[5866] * vX_[776] + vX_[5853] * vX_[957] + vX_[6948] * vX_[699] + vX_[827] * vX_[701] +
+ vX_[5862] * vX_[142] + vX_[5867] * vX_[389] + vX_[1927] * vX_[125] + vX_[992] * vX_[674] +
+ vX_[921] * vX_[150] + vX_[833] * vX_[643] + vX_[5854] * vX_[642] + vX_[5863] * vX_[639] +
+ vX_[5872] * vX_[159] + vX_[5861] * vX_[573] + vX_[3743] * vX_[575] + vX_[9100] * vX_[623] +
+ vX_[5857] * vX_[519] + vX_[1548] * vX_[570] + vX_[3284] * x_in[22] + vX_[4687] * x_in[19] +
+ (vX_[5858] * vX_[776] + vX_[6164] * vX_[139] + vX_[3284] * x_in[20]) * -0.3735 -
+ (vX_[5868] * vX_[4079] + vX_[5471] * x_in[23]) + (vX_[5853] * vX_[4079] + vX_[5471] * x_in[19]) * -0.3735 +
+ (vX_[5884] * vX_[4079] + vX_[4318] * vX_[517] + vX_[4685] * vX_[569] + vX_[5878] * vX_[152] +
+ vX_[1035] * vX_[154] + vX_[5860] * vX_[125] + vX_[5246] * vX_[134] + vX_[5447] * vX_[137] +
+ vX_[5287] * vX_[153] + vX_[4727] * vX_[142] + vX_[836] * vX_[515] + vX_[4685] * vX_[566] +
+ vX_[4731] * vX_[96] + vX_[4734] * vX_[522] + vX_[5471] * x_in[18]) *
+ 0.207 -
+ (vX_[5858] * vX_[951] + vX_[4136] * vX_[698] + vX_[2038] * vX_[684] + vX_[5865] * vX_[125] +
+ vX_[5723] * vX_[271] + vX_[5874] * vX_[640] + vX_[910] * vX_[160] + vX_[912] * vX_[675] +
+ vX_[4311] * vX_[641] + vX_[5859] * vX_[568] + vX_[5871] * vX_[149] + vX_[8789] * vX_[572] +
+ vX_[5710] * vX_[622] + vX_[4690] * vX_[570] + vX_[5236] * vX_[523] + vX_[6164] * vX_[140] +
+ vX_[4703] * x_in[20]) +
+ vX_[5900] * vX_[1975] + vX_[5936] * vX_[810] + vX_[4767] * vX_[9] + (0 - vX_[5947]) * 0.3735 +
+ vX_[5947] * vX_[9] * -0.35 + vX_[5131] * 0.35 + vX_[5131] * vX_[75] * 0.08 + vX_[5131] * vX_[9] * 0.3735 +
+ vX_[5914] * vX_[75] * 0.3735 + vX_[5567] * vX_[75] * -0.207 + vX_[5430] * vX_[75] * 0.3735 +
+ vX_[5445] * 0.35 + (vX_[5507] * vX_[9] + vX_[5445] * vX_[75]) * 0.08 + vX_[5445] * vX_[9] * 0.3735 +
+ (vX_[4696] * vX_[9] + vX_[5864] * vX_[9]) * 0.207 + vX_[6152] * vX_[75] * 0.207 + vX_[5004] * vX_[75] +
+ vX_[5443] * vX_[9] + (vX_[5425] * vX_[9] - vX_[5939]) * 0.08 + vX_[5927] * vX_[75] * 0.35 +
+ vX_[1181] * vX_[75] * 0.33 + vX_[5910] * vX_[9] * 0.33 + (0 - vX_[4707]) * 0.08 +
+ vX_[5268] * vX_[75] * 0.35 + vX_[1307] * vX_[75] * 0.33 + vX_[6127] * vX_[9] * 0.33 +
+ vX_[5918] * vX_[9] * 0.33 + vX_[1545] * vX_[75] * 0.33 + vX_[5432] * vX_[9] * 0.35 +
+ vX_[1235] * vX_[75] * 0.33 + vX_[1539] * 0.08 + vX_[1539] * vX_[75] * 0.35 +
+ (vX_[1972] * vX_[9] + vX_[5491] * vX_[75]) * 0.33 + vX_[5515] * vX_[9] * -0.33 + (0 - vX_[1924]) * 0.08 +
+ vX_[6181] * vX_[75] * 0.35 + vX_[5231] * vX_[75] * 0.33 + vX_[4712] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[5868] * vX_[776] + vX_[5866] * vX_[4079] + vX_[5858] * vX_[957] + vX_[5853] * vX_[951] +
+ vX_[4136] * vX_[701] + vX_[6948] * vX_[697] + vX_[827] * vX_[698] + vX_[2038] * vX_[142] +
+ vX_[2029] * vX_[684] + vX_[5865] * vX_[389] + vX_[4985] * vX_[125] + vX_[1927] * vX_[271] +
+ vX_[992] * vX_[675] + vX_[5874] * vX_[643] + vX_[910] * vX_[150] + vX_[921] * vX_[160] +
+ vX_[912] * vX_[674] + vX_[833] * vX_[640] + vX_[4311] * vX_[642] + vX_[5859] * vX_[639] +
+ vX_[5854] * vX_[641] + vX_[5863] * vX_[568] + vX_[5871] * vX_[159] + vX_[5872] * vX_[149] +
+ vX_[8789] * vX_[575] + vX_[5861] * vX_[571] + vX_[3743] * vX_[572] + vX_[5710] * vX_[623] +
+ vX_[939] * vX_[622] + vX_[4690] * vX_[519] + vX_[4692] * vX_[570] + vX_[1548] * vX_[523] +
+ vX_[6164] * vX_[138] +
+ (vX_[5837] * vX_[567] + vX_[4719] * vX_[105] + vX_[5220] * vX_[154] + vX_[1238] * vX_[129] +
+ vX_[4693] * vX_[143] + vX_[4800] * vX_[128] + vX_[5372] * vX_[137] + vX_[4706] * vX_[125] +
+ vX_[4412] * vX_[142] + vX_[935] * vX_[153] + vX_[5837] * vX_[563] + vX_[4720] * vX_[514] +
+ vX_[5220] * vX_[158] + vX_[4693] * vX_[511]) *
+ 0.207 +
+ vX_[3284] * x_in[23] + vX_[5471] * x_in[22] + vX_[4687] * x_in[20] + vX_[4703] * x_in[19] +
+ (vX_[5853] * vX_[776] + vX_[6164] * vX_[126] + vX_[3284] * x_in[19]) * 0.3735 +
+ (vX_[5884] * vX_[776] + vX_[3284] * x_in[18]) * -0.207 +
+ (vX_[5858] * vX_[4079] + vX_[5471] * x_in[20]) * -0.3735 + vX_[5944] * vX_[1986] + vX_[5920] * vX_[1983] -
+ vX_[4735] * vX_[75] + vX_[5654] * vX_[75] + vX_[5915] * 0.3735 + vX_[5915] * vX_[9] * 0.35 +
+ (0 - vX_[5932]) * 0.207 + vX_[4718] * 0.35 + vX_[4718] * vX_[75] * 0.08 + vX_[4718] * vX_[9] * 0.3735 +
+ vX_[4759] * vX_[75] * 0.3735 + (0 - vX_[4759] * vX_[9]) * 0.08 - vX_[5232] * vX_[75] +
+ vX_[4715] * vX_[75] * 0.3735 + vX_[4730] * vX_[9] * 0.08 + vX_[4717] * 0.35 + vX_[4717] * vX_[75] * 0.08 +
+ vX_[4717] * vX_[9] * 0.3735 + vX_[4742] * vX_[9] + vX_[4741] * vX_[75] + vX_[5935] * 0.08 +
+ vX_[5935] * vX_[75] * 0.35 + vX_[5926] * vX_[75] * 0.33 + vX_[4710] * vX_[9] * -0.33 + vX_[5215] * 0.08 +
+ vX_[5215] * vX_[75] * 0.35 + vX_[5217] * vX_[75] * 0.33 + vX_[4699] * vX_[9] * -0.33 + vX_[4704] * 0.08 +
+ vX_[4704] * vX_[75] * 0.35 + vX_[4694] * vX_[9] * 0.33 + vX_[4701] * vX_[75] * -0.33 +
+ vX_[4409] * vX_[9] * 0.35 + (vX_[5214] * vX_[75] + vX_[4762] * vX_[9]) * 0.33 +
+ (vX_[4273] * vX_[9] + vX_[4274] * vX_[75]) * -0.33 + vX_[4276] * 0.08 + vX_[4276] * vX_[75] * 0.35 +
+ vX_[4258] * vX_[75] * 0.33 + vX_[4259] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[4136] = vX_[5869] - vX_[6302];
+ vX_[9065] = vX_[6296] + vX_[9065];
+ vX_[1764] = vX_[6291] + vX_[1764];
+ vX_[6291] = 0 - vX_[1764];
+ vX_[6296] = vX_[4136] * vX_[1];
+ vX_[1238] = vX_[4136] * vX_[126];
+ vX_[9129] = vX_[6293] + vX_[9129];
+ vX_[7913] = vX_[7920] + vX_[7913];
+ vX_[9059] = vX_[6292] + vX_[9059];
+ vX_[6303] = vX_[6283] + vX_[6303];
+ vX_[6283] = vX_[6303] * vX_[126] + vX_[9059] * vX_[1];
+ vX_[6292] = vX_[6303] * vX_[139] + vX_[9059] * vX_[126];
+ vX_[7907] = vX_[7955] + vX_[7907];
+ vX_[6301] = 0 - (vX_[6290] + vX_[6301]) + vX_[7907];
+ vX_[6290] = vX_[7934] - vX_[6307];
+ vX_[9061] = vX_[6286] + vX_[9061];
+ vX_[7899] = vX_[7896] + vX_[7899];
+ vX_[7896] = 0 - vX_[7899];
+ vX_[6286] = vX_[6290] * vX_[1];
+ vX_[7955] = vX_[6290] * vX_[126];
+ vX_[7920] = vX_[6341] * 0.881 + (0 - vX_[6343]) * -0.0004405 + vX_[6345] * 8.81e-05;
+ vX_[6293] = vX_[6339] * -0.881;
+ vX_[5878] = vX_[6343] * 0.1104774;
+ vX_[6164] = vX_[6347] * 8.81e-05;
+ vX_[4719] = vX_[6293] - vX_[5878] + vX_[6164];
+ vX_[4311] = vX_[7920] * vX_[4053] + vX_[4719] * vX_[4070];
+ vX_[4318] = vX_[6331] * 3.146 + (0 - vX_[6338]) * 0.0825825;
+ vX_[939] = vX_[6330] * -3.146;
+ vX_[5710] = vX_[6338] * 0.47422804;
+ vX_[5859] = vX_[939] - vX_[5710];
+ vX_[912] = vX_[4311] + vX_[4318] * vX_[4072] + vX_[5859] * vX_[4074];
+ vX_[1035] = vX_[6318] * 3.44 + vX_[6321] * 0.5824264;
+ vX_[5871] = 0 - vX_[1035];
+ vX_[4692] = vX_[6315] * 3.44 + (0 - vX_[6321]) * 0.1466472;
+ vX_[5236] = vX_[6315] * vX_[142] + vX_[6314] * vX_[125] + vX_[6318] * vX_[134] + vX_[6321] * vX_[515] +
+ vX_[6323] * vX_[566];
+ vX_[4690] = vX_[912] + vX_[5871] * vX_[4085] + vX_[4692] * vX_[4092] + vX_[5236] * x_in[33];
+ vX_[8789] = 0 - vX_[7920];
+ vX_[6164] = 0 - vX_[6293] + vX_[5878] - vX_[6164];
+ vX_[5878] = vX_[6328] * -0.0004405 + vX_[6339] * 8.81e-05 + vX_[6347] * -0.000227999999999999;
+ vX_[6293] = vX_[6328] * 0.1104774 + vX_[6341] * 8.81e-05 + (0 - vX_[6345]) * 0.025713;
+ vX_[1548] = (0 - vX_[6339]) * -0.0004405;
+ vX_[5857] = (0 - vX_[6341]) * 0.1104774;
+ vX_[9100] = vX_[1548] + vX_[5857];
+ vX_[9100] = vX_[8789] * vX_[1994] + vX_[6164] * vX_[4061] + vX_[5878] * vX_[4053] + vX_[6293] * vX_[4070] +
+ vX_[9100] * vX_[4071] + vX_[9100] * vX_[4071];
+ vX_[3743] = vX_[6328] * 0.881 + (0 - vX_[6345]) * 0.1104774 + vX_[6347] * -0.0004405;
+ vX_[5861] = vX_[6339] * -0.00185880198235362 + vX_[6341] * 0.880992588508842 + vX_[6345] * 8.81e-05;
+ vX_[8789] = vX_[8789] * vX_[4071] + vX_[3743] * vX_[4070] + vX_[5861] * x_in[35];
+ vX_[5872] = 0 - vX_[3743];
+ vX_[910] = vX_[6339] * 0.414812462825713 + vX_[6341] * -0.00185880198235362 + vX_[6347] * -8.81e-05;
+ vX_[6164] = vX_[6164] * vX_[4071] + vX_[5872] * vX_[4053] - vX_[910] * x_in[35];
+ vX_[5863] = 0 - vX_[4318];
+ vX_[5710] = 0 - vX_[939] + vX_[5710];
+ vX_[939] = vX_[6326] * 0.0825825 + (0 - vX_[6338]) * -0.000102 + vX_[6327] * -0.007418 + vX_[6336] * 0.002735;
+ vX_[5854] = vX_[6326] * 0.47422804 + vX_[6338] * 2.1e-05 + (0 - vX_[6327]) * 0.084376 + (0 - vX_[6336]) * -0.007418;
+ vX_[5874] = (0 - vX_[6330]) * 0.0825825;
+ vX_[833] = (0 - vX_[6331]) * 0.47422804;
+ vX_[921] = vX_[6327] * -0.000102;
+ vX_[992] = (0 - vX_[6336]) * 2.1e-05;
+ vX_[827] = vX_[5874] + vX_[833] + vX_[921] + vX_[992];
+ vX_[827] = vX_[9100] + vX_[8789] * vX_[764] + vX_[6164] * vX_[54] + vX_[5863] * vX_[4066] + vX_[5710] * vX_[4091] +
+ vX_[939] * vX_[4072] + vX_[5854] * vX_[4074] + vX_[827] * vX_[4082] + vX_[827] * vX_[4082];
+ vX_[6948] = vX_[6326] * 3.146 + (0 - vX_[6327]) * 0.47422804 + vX_[6336] * 0.0825825;
+ vX_[5944] = vX_[6330] * vX_[102] + vX_[6331] * vX_[101] + vX_[6327] * vX_[80] + vX_[6336] * vX_[74];
+ vX_[5863] =
+ vX_[8789] * vX_[7] + vX_[6164] * vX_[51] + vX_[5863] * vX_[4082] + vX_[6948] * vX_[4074] + vX_[5944] * x_in[34];
+ vX_[5936] = 0 - vX_[6948];
+ vX_[5920] = vX_[6330] * vX_[100] + vX_[6331] * vX_[102] + vX_[6327] * vX_[86] + vX_[6336] * vX_[85];
+ vX_[5710] = vX_[8789] * vX_[756] + vX_[6164] * vX_[7] + vX_[5710] * vX_[4082] + vX_[5936] * vX_[4072] -
+ vX_[5920] * x_in[34];
+ vX_[5900] = 0 - vX_[4692];
+ vX_[5418] = vX_[6314] * 0.5824264 + (0 - vX_[6325]) * -0.022734 + vX_[6321] * -3.6e-05 + vX_[6323] * -0.133138;
+ vX_[4261] = vX_[6314] * 0.1466472 + vX_[6325] * 0.009466 + (0 - vX_[6321]) * -5.1e-05 + vX_[6323] * -0.022734;
+ vX_[1762] = (0 - vX_[6315]) * 0.5824264;
+ vX_[4263] = (0 - vX_[6318]) * 0.1466472;
+ vX_[4550] = (0 - vX_[6325]) * -3.6e-05;
+ vX_[5607] = (0 - vX_[6323]) * -5.1e-05;
+ vX_[4264] = vX_[1762] + vX_[4263] + vX_[4550] - vX_[5607];
+ vX_[5652] = vX_[6315] * vX_[158] + vX_[6314] * vX_[514] + vX_[6318] * vX_[566] + vX_[6321] * vX_[565] +
+ vX_[6323] * vX_[122];
+ vX_[4264] = vX_[827] + vX_[5863] * vX_[752] + vX_[5710] * vX_[93] + vX_[1035] * vX_[4095] + vX_[5900] * vX_[3880] +
+ vX_[5418] * vX_[4085] + vX_[4261] * vX_[4092] + vX_[4264] * vX_[4104] + vX_[4264] * vX_[4104] +
+ vX_[5652] * x_in[33];
+ vX_[2776] = vX_[5876] - vX_[6307];
+ vX_[3852] = vX_[2776] * vX_[126] + vX_[9061] * vX_[1];
+ vX_[4872] = vX_[2776] * vX_[139] + vX_[9061] * vX_[126];
+ vX_[5630] = vX_[4872] + vX_[6286];
+ vX_[5426] = vX_[3852] * vX_[139] + vX_[5630] * vX_[126] + vX_[7955] * vX_[1];
+ vX_[5206] = 0 - vX_[5426];
+ vX_[5191] = vX_[6307] + vX_[3852] * vX_[126] + vX_[6286] * vX_[1];
+ vX_[5420] = 0 - vX_[5191];
+ vX_[5633] = vX_[6307] + vX_[4872] * vX_[139] + vX_[7955] * vX_[126];
+ vX_[6300] = vX_[6289] + vX_[6300] - vX_[7913];
+ vX_[6289] = vX_[7907] * vX_[126] + vX_[7913] * vX_[1];
+ vX_[3903] = 0 - (vX_[6300] * vX_[139] + vX_[6301] * vX_[126]) + vX_[6289];
+ vX_[6484] = vX_[3903] + vX_[5191] * vX_[127];
+ vX_[3872] = 0 - vX_[6484];
+ vX_[3896] = vX_[7907] * vX_[139] + vX_[7913] * vX_[126];
+ vX_[4255] = vX_[6300] * vX_[126] + vX_[6301] * vX_[1] + vX_[3896];
+ vX_[4256] = 0 - vX_[5633];
+ vX_[4290] = vX_[4255] + vX_[5426] * vX_[127] + vX_[4256] * vX_[27];
+ vX_[1622] = vX_[6288] + vX_[1622];
+ vX_[6288] = vX_[9129] * vX_[126] + vX_[1622] * vX_[139];
+ vX_[4317] = vX_[6288] * vX_[126] + vX_[6292] * vX_[1];
+ vX_[6139] = vX_[6267] + vX_[6139];
+ vX_[7899] = 0 - vX_[7899];
+ vX_[6267] = vX_[6139] * vX_[139] + vX_[7899] * vX_[126];
+ vX_[4292] = 0 - vX_[6267];
+ vX_[4291] = vX_[4317] + vX_[4292] * vX_[27] + vX_[5420] * vX_[141];
+ vX_[4297] = 0 - vX_[4291];
+ vX_[4298] = vX_[9129] * vX_[1] + vX_[1622] * vX_[126];
+ vX_[5223] = vX_[4298] * vX_[139] + vX_[6283] * vX_[126];
+ vX_[2105] = vX_[6139] * vX_[126] + vX_[7896] * vX_[1];
+ vX_[4494] = 0 - vX_[2105];
+ vX_[5249] = vX_[5223] + vX_[4494] * vX_[127] + vX_[5633] * vX_[141];
+ vX_[2858] = vX_[4298] * vX_[126] + vX_[6283] * vX_[1];
+ vX_[4890] = vX_[2858] + vX_[6267] * vX_[127];
+ vX_[2453] = vX_[6288] * vX_[139] + vX_[6292] * vX_[126];
+ vX_[4073] = vX_[2453] + vX_[2105] * vX_[27] + vX_[5206] * vX_[141];
+ vX_[4302] = 0 - vX_[4890] + vX_[4073];
+ vX_[4305] = 0 - vX_[5426];
+ vX_[5182] = 0 - vX_[5191];
+ vX_[5420] = vX_[5206] * vX_[569] + vX_[5420] * vX_[517] + vX_[5633] * vX_[105] + vX_[3872] * vX_[142] +
+ vX_[4290] * vX_[153] + vX_[4297] * vX_[134] + vX_[5249] * vX_[128] + vX_[4302] * vX_[125] +
+ vX_[4305] * vX_[566] + vX_[5426] * vX_[563] + vX_[5182] * vX_[516] + vX_[5633] * vX_[520];
+ vX_[5206] = vX_[6314] * -3.44;
+ vX_[4875] = vX_[6325] * 0.1466472;
+ vX_[4316] = vX_[6323] * 0.5824264;
+ vX_[4304] = 0 - vX_[5206] + vX_[4875] - vX_[4316];
+ vX_[4315] = vX_[6315] * vX_[153] + vX_[6314] * vX_[128] + vX_[6318] * vX_[125] + vX_[6321] * vX_[563] +
+ vX_[6323] * vX_[514];
+ vX_[5900] = vX_[5863] * vX_[751] + vX_[5710] * vX_[75] + vX_[4304] * vX_[4085] + vX_[5900] * vX_[4104] -
+ vX_[4315] * x_in[33];
+ vX_[6307] = vX_[5876] + vX_[7934] + vX_[6307] - vX_[5191] - vX_[5633];
+ vX_[7934] = 0 - vX_[6307];
+ vX_[6289] = vX_[6289] + vX_[7934] * vX_[127];
+ vX_[3896] = vX_[3896] + vX_[6307] * vX_[27];
+ vX_[5876] = 0 - vX_[4290];
+ vX_[4757] = 0 - vX_[5249];
+ vX_[7909] = vX_[7850] + vX_[7909] + vX_[1622] + vX_[9059] - vX_[2858] - vX_[2453];
+ vX_[4073] = vX_[7909] - vX_[4073];
+ vX_[7850] = 0 - vX_[6267];
+ vX_[4278] = 0 - vX_[5426];
+ vX_[5622] = 0 - vX_[5633];
+ vX_[4493] = vX_[1310] - vX_[6302];
+ vX_[1933] = vX_[6294] + vX_[1933];
+ vX_[6294] = vX_[4493] * vX_[126] + vX_[9065] * vX_[1];
+ vX_[1665] = vX_[4493] * vX_[139] + vX_[9065] * vX_[126];
+ vX_[6343] = vX_[6339] * 0.1104774 + vX_[6341] * -0.0004405 + vX_[6343] * 0.025941;
+ vX_[5221] = (0 - vX_[6328]) * 8.81e-05;
+ vX_[5857] = vX_[5221] + vX_[5857];
+ vX_[6347] = vX_[6328] * -0.0004405 + vX_[6339] * -8.81e-05 + vX_[6347] * 0.000468;
+ vX_[5857] = vX_[7920] * vX_[4062] + vX_[5872] * vX_[4061] + vX_[5878] * vX_[4071] + vX_[6343] * vX_[4070] +
+ vX_[5857] * vX_[4053] + vX_[5857] * vX_[4053] + vX_[6347] * x_in[35];
+ vX_[5221] = vX_[5221] + vX_[1548];
+ vX_[6345] = vX_[6328] * -0.1104774 + vX_[6341] * 8.81e-05 + vX_[6345] * 0.026409;
+ vX_[5221] = vX_[4719] * vX_[4062] + vX_[3743] * vX_[1994] + vX_[6293] * vX_[4071] + vX_[6343] * vX_[4053] +
+ vX_[5221] * vX_[4070] + vX_[5221] * vX_[4070] - vX_[6345] * x_in[35];
+ vX_[6343] = vX_[6330] * 0.47422804 + vX_[6331] * 0.0825825 + vX_[6338] * 0.081641 + (0 - vX_[6327]) * 2.1e-05 +
+ vX_[6336] * -0.000102;
+ vX_[3743] = (0 - vX_[6338]) * -0.007418;
+ vX_[992] = vX_[833] + vX_[3743] - vX_[992];
+ vX_[833] =
+ vX_[6326] * vX_[69] + vX_[6330] * vX_[85] + vX_[6331] * vX_[74] + vX_[6327] * vX_[117] + vX_[6336] * vX_[113];
+ vX_[992] = vX_[4311] * -0.35 + vX_[5857] * vX_[7] + vX_[5221] * vX_[51] + vX_[4318] * vX_[4064] +
+ vX_[5936] * vX_[4091] + vX_[939] * vX_[4082] + vX_[6343] * vX_[4074] + vX_[992] * vX_[4072] +
+ vX_[992] * vX_[4072] + vX_[833] * x_in[34];
+ vX_[3743] = vX_[5874] - vX_[3743] - vX_[921];
+ vX_[921] =
+ vX_[6326] * vX_[82] + vX_[6330] * vX_[86] + vX_[6331] * vX_[80] + vX_[6327] * vX_[111] + vX_[6336] * vX_[117];
+ vX_[3743] = vX_[5857] * vX_[52] + vX_[5221] * vX_[7] + vX_[5859] * vX_[4064] + vX_[6948] * vX_[4066] +
+ vX_[5854] * vX_[4082] + vX_[6343] * vX_[4072] + vX_[3743] * vX_[4074] + vX_[3743] * vX_[4074] -
+ vX_[921] * x_in[34];
+ vX_[4316] = vX_[5206] - vX_[4875] + vX_[4316];
+ vX_[4875] = vX_[6315] * 0.1466472 + vX_[6318] * 0.5824264 + vX_[6325] * -5.1e-05 + (0 - vX_[6321]) * -0.123672 +
+ (0 - vX_[6323]) * -3.6e-05;
+ vX_[5206] = vX_[6321] * -0.022734;
+ vX_[4550] = vX_[1762] - vX_[4550] - vX_[5206];
+ vX_[1762] =
+ vX_[6315] * vX_[96] + vX_[6314] * vX_[563] + vX_[6318] * vX_[515] + vX_[6321] * vX_[513] + vX_[6323] * vX_[565];
+ vX_[4550] = vX_[992] * vX_[4] + vX_[3743] * vX_[75] + vX_[4316] * vX_[4095] + vX_[4692] * vX_[4096] +
+ vX_[4875] * vX_[4085] + vX_[4261] * vX_[4104] + vX_[4550] * vX_[4092] + vX_[4550] * vX_[4092] -
+ vX_[1762] * x_in[33];
+ vX_[6374] = vX_[6374] * vX_[1986];
+ vX_[6375] = vX_[6375] * vX_[1986];
+ vX_[4261] = vX_[6374] * vX_[7] + vX_[6375] * vX_[51];
+ vX_[6376] = vX_[6376] * vX_[1986];
+ vX_[6346] = vX_[6346] * vX_[1975];
+ vX_[4692] = vX_[6346] * vX_[7];
+ vX_[6343] = vX_[6346] * vX_[51];
+ vX_[6362] = vX_[6362] * vX_[1993];
+ vX_[6948] = vX_[6362] * vX_[51];
+ vX_[6348] = vX_[6348] * vX_[1975];
+ vX_[5854] = vX_[6348] * vX_[7];
+ vX_[5859] = 0 - vX_[5854];
+ vX_[5874] = vX_[6348] * vX_[51];
+ vX_[5936] = 0 - vX_[6343];
+ vX_[939] = 0 - vX_[6362];
+ vX_[4318] = vX_[939] * vX_[7];
+ vX_[6363] = vX_[6363] * vX_[1993];
+ vX_[4311] = 0 - vX_[6363];
+ vX_[6293] = vX_[4311] * vX_[51];
+ vX_[4719] = vX_[6363] * vX_[7];
+ vX_[6350] = vX_[6350] * vX_[1983];
+ vX_[6341] = vX_[6374] + vX_[6350];
+ vX_[6351] = vX_[6351] * vX_[1983];
+ vX_[6328] = 0 - vX_[6375] - vX_[6351];
+ vX_[1548] = vX_[6341] * vX_[51] + vX_[6328] * vX_[7];
+ vX_[5872] = vX_[6350] * vX_[7] + vX_[6351] * vX_[51];
+ vX_[6368] = vX_[6368] * vX_[1993] + vX_[6356] * vX_[1975];
+ vX_[6356] = 0 - vX_[6368];
+ vX_[5878] = 0 - vX_[6368];
+ vX_[7920] = vX_[5878] * vX_[7];
+ vX_[6339] = vX_[6368] * vX_[51];
+ vX_[3992] = vX_[6369] * vX_[893] + vX_[6601] * vX_[845] + vX_[6610] * vX_[877];
+ vX_[4283] = 0 - vX_[3992];
+ vX_[5618] = vX_[6369] * vX_[985] + vX_[6601] * vX_[878] + vX_[6610] * vX_[839];
+ vX_[5624] = vX_[4283] * x_in[18] + vX_[5618] * x_in[19];
+ vX_[4277] = 0 - vX_[5624];
+ vX_[4306] = 0 - vX_[5624];
+ vX_[1375] = vX_[4306] * vX_[7];
+ vX_[4289] = vX_[5624] * vX_[51];
+ vX_[6369] = vX_[6369] * vX_[875] + vX_[6601] * vX_[894] + vX_[6610] * vX_[986];
+ jac[1253] = vX_[5920] * vX_[3967] + vX_[5944] * vX_[4066] + vX_[921] * vX_[3980] + vX_[833] * vX_[4072] + vX_[827] +
+ vX_[6369] * vX_[899] + vX_[3992] * vX_[851] + vX_[5618] * vX_[884];
+ jac[1289] = vX_[910] * vX_[1988] + vX_[5861] * vX_[1994] + vX_[6345] * vX_[988] + vX_[6347] * vX_[4053] +
+ vX_[9100] + vX_[6369] * vX_[908] + vX_[3992] * vX_[862] + vX_[5618] * vX_[881];
+ vX_[6345] = vX_[6369] * x_in[35];
+ vX_[6347] = vX_[6345] * vX_[7];
+ vX_[910] = vX_[6345] * vX_[51];
+ vX_[5861] = vX_[6369] * x_in[34];
+ vX_[9100] = vX_[5861] * vX_[51];
+ vX_[921] = vX_[3992] * x_in[33];
+ vX_[833] = vX_[5861] * vX_[7];
+ vX_[5920] = vX_[921] * vX_[7];
+ vX_[5944] = vX_[921] * vX_[51];
+ vX_[827] = vX_[6380] * vX_[940];
+ vX_[6610] = 0 - vX_[827];
+ vX_[6601] = 0 - vX_[827];
+ vX_[6106] = vX_[6601] * vX_[7];
+ vX_[4447] = vX_[827] * vX_[51];
+ vX_[1764] = 0 - vX_[1764];
+ vX_[4301] = vX_[1665] + vX_[6296];
+ vX_[4286] = 0 - vX_[6289];
+ vX_[4288] = 0 - vX_[3896];
+ vX_[7909] = 0 - vX_[7909] + vX_[4890];
+ vX_[4890] = 0 - vX_[2105];
+ vX_[6340] = vX_[6340] * vX_[1975];
+ vX_[4300] = vX_[6340] * vX_[51];
+ vX_[6342] = vX_[6342] * vX_[1975];
+ vX_[4284] = vX_[6342] * vX_[7];
+ vX_[6344] = vX_[6344] * vX_[1975];
+ vX_[6361] = vX_[6361] * vX_[1993];
+ vX_[6377] = vX_[6377] * vX_[1986];
+ vX_[4313] = vX_[6377] * vX_[7];
+ vX_[4312] = vX_[6377] * vX_[51];
+ vX_[6366] = vX_[6366] * vX_[810];
+ vX_[4281] = vX_[6366] * vX_[51];
+ vX_[6378] = vX_[6378] * vX_[1986];
+ vX_[5616] = vX_[6378] * vX_[7];
+ vX_[5668] = 0 - vX_[5616];
+ vX_[4861] = vX_[6378] * vX_[51];
+ vX_[4270] = 0 - vX_[6340] - vX_[6366];
+ vX_[6367] = vX_[6367] * vX_[810];
+ vX_[4275] = 0 - vX_[6342] - vX_[6367];
+ vX_[4269] = vX_[4270] * vX_[7] + vX_[4275] * vX_[51];
+ vX_[4268] = vX_[6367] * vX_[7];
+ vX_[6364] = vX_[6364] * vX_[1993] + vX_[6355] * vX_[1986];
+ vX_[6355] = vX_[6364] * vX_[7];
+ vX_[4265] = vX_[6364] * vX_[51];
+ vX_[4272] = 0 - vX_[5618];
+ vX_[4271] = vX_[6369] * x_in[18] + vX_[4272] * x_in[20];
+ vX_[5832] = vX_[4271] * vX_[7];
+ vX_[4490] = vX_[4271] * vX_[51];
+ vX_[6049] = vX_[6369] * x_in[33];
+ vX_[4033] = vX_[3992] * x_in[35];
+ vX_[3858] = 0 - vX_[4033];
+ vX_[3859] = vX_[3858] * vX_[7];
+ vX_[3861] = vX_[4033] * vX_[51];
+ vX_[3843] = vX_[3992] * x_in[34];
+ vX_[3844] = 0 - vX_[3843];
+ vX_[6477] = vX_[6049] * vX_[7];
+ vX_[3846] = 0 - vX_[3843];
+ vX_[4546] = vX_[3846] * vX_[7];
+ vX_[3848] = vX_[6049] * vX_[51];
+ vX_[6046] = vX_[3843] * vX_[51];
+ vX_[5850] = vX_[6380] * vX_[929];
+ vX_[3849] = vX_[5850] * vX_[7];
+ vX_[5839] = vX_[5850] * vX_[51];
+ jac[569] =
+ 0 -
+ (vX_[6295] * vX_[776] + vX_[6282] * vX_[957] + vX_[4136] * vX_[699] + vX_[9065] * vX_[701] +
+ vX_[6291] * vX_[142] + vX_[6296] * vX_[389] + vX_[1238] * vX_[125] + vX_[9129] * vX_[674] +
+ vX_[7913] * vX_[150] + vX_[9059] * vX_[643] + vX_[6283] * vX_[642] + vX_[6292] * vX_[639] +
+ vX_[6301] * vX_[159] + vX_[6290] * vX_[573] + vX_[9061] * vX_[575] + vX_[7896] * vX_[623] +
+ vX_[6286] * vX_[519] + vX_[7955] * vX_[570] + vX_[4690] * x_in[22] + vX_[4264] * x_in[19] +
+ (vX_[6287] * vX_[776] + vX_[5420] * vX_[139] + vX_[4690] * x_in[20]) * -0.3735 -
+ (vX_[6297] * vX_[4079] + vX_[5900] * x_in[23]) + (vX_[6282] * vX_[4079] + vX_[5900] * x_in[19]) * -0.3735 +
+ (vX_[6313] * vX_[4079] + vX_[4292] * vX_[517] + vX_[2105] * vX_[569] + vX_[6307] * vX_[152] +
+ vX_[4256] * vX_[154] + vX_[6289] * vX_[125] + vX_[3896] * vX_[134] + vX_[5876] * vX_[137] +
+ vX_[4757] * vX_[153] + vX_[4073] * vX_[142] + vX_[7850] * vX_[515] + vX_[2105] * vX_[566] +
+ vX_[4278] * vX_[96] + vX_[5622] * vX_[522] + vX_[5900] * x_in[18]) *
+ 0.207 -
+ (vX_[6287] * vX_[951] + vX_[4493] * vX_[698] + vX_[1933] * vX_[684] + vX_[6294] * vX_[125] +
+ vX_[1665] * vX_[271] + vX_[6303] * vX_[640] + vX_[7907] * vX_[160] + vX_[1622] * vX_[675] +
+ vX_[4298] * vX_[641] + vX_[6288] * vX_[568] + vX_[6300] * vX_[149] + vX_[2776] * vX_[572] +
+ vX_[6139] * vX_[622] + vX_[3852] * vX_[570] + vX_[4872] * vX_[523] + vX_[5420] * vX_[140] +
+ vX_[4550] * x_in[20]) +
+ vX_[6329] * vX_[1975] + vX_[6365] * vX_[810] + vX_[4261] * vX_[9] + (0 - vX_[6376]) * 0.3735 +
+ vX_[6376] * vX_[9] * -0.35 + vX_[4692] * 0.35 + vX_[4692] * vX_[75] * 0.08 + vX_[4692] * vX_[9] * 0.3735 +
+ vX_[6343] * vX_[75] * 0.3735 + vX_[6948] * vX_[75] * -0.207 + vX_[5859] * vX_[75] * 0.3735 +
+ vX_[5874] * 0.35 + (vX_[5936] * vX_[9] + vX_[5874] * vX_[75]) * 0.08 + vX_[5874] * vX_[9] * 0.3735 +
+ (vX_[4318] * vX_[9] + vX_[6293] * vX_[9]) * 0.207 + vX_[4719] * vX_[75] * 0.207 + vX_[1548] * vX_[75] +
+ vX_[5872] * vX_[9] + (vX_[5854] * vX_[9] - vX_[6368]) * 0.08 + vX_[6356] * vX_[75] * 0.35 +
+ vX_[7920] * vX_[75] * 0.33 + vX_[6339] * vX_[9] * 0.33 + (0 - vX_[5624]) * 0.08 +
+ vX_[4277] * vX_[75] * 0.35 + vX_[1375] * vX_[75] * 0.33 + vX_[4289] * vX_[9] * 0.33 +
+ vX_[6347] * vX_[9] * 0.33 + vX_[910] * vX_[75] * 0.33 + vX_[5861] * vX_[9] * 0.35 +
+ vX_[9100] * vX_[75] * 0.33 + vX_[921] * 0.08 + vX_[921] * vX_[75] * 0.35 +
+ (vX_[833] * vX_[9] + vX_[5920] * vX_[75]) * 0.33 + vX_[5944] * vX_[9] * -0.33 + (0 - vX_[827]) * 0.08 +
+ vX_[6610] * vX_[75] * 0.35 + vX_[6106] * vX_[75] * 0.33 + vX_[4447] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[6297] * vX_[776] + vX_[6295] * vX_[4079] + vX_[6287] * vX_[957] + vX_[6282] * vX_[951] +
+ vX_[4493] * vX_[701] + vX_[4136] * vX_[697] + vX_[9065] * vX_[698] + vX_[1933] * vX_[142] +
+ vX_[1764] * vX_[684] + vX_[6294] * vX_[389] + vX_[4301] * vX_[125] + vX_[1238] * vX_[271] +
+ vX_[9129] * vX_[675] + vX_[6303] * vX_[643] + vX_[7907] * vX_[150] + vX_[7913] * vX_[160] +
+ vX_[1622] * vX_[674] + vX_[9059] * vX_[640] + vX_[4298] * vX_[642] + vX_[6288] * vX_[639] +
+ vX_[6283] * vX_[641] + vX_[6292] * vX_[568] + vX_[6300] * vX_[159] + vX_[6301] * vX_[149] +
+ vX_[2776] * vX_[575] + vX_[6290] * vX_[571] + vX_[9061] * vX_[572] + vX_[6139] * vX_[623] +
+ vX_[7899] * vX_[622] + vX_[3852] * vX_[519] + vX_[5630] * vX_[570] + vX_[7955] * vX_[523] +
+ vX_[5420] * vX_[138] +
+ (vX_[6267] * vX_[567] + vX_[4494] * vX_[105] + vX_[5426] * vX_[154] + vX_[7934] * vX_[129] +
+ vX_[5191] * vX_[143] + vX_[4286] * vX_[128] + vX_[6484] * vX_[137] + vX_[4288] * vX_[125] +
+ vX_[4291] * vX_[142] + vX_[7909] * vX_[153] + vX_[6267] * vX_[563] + vX_[4890] * vX_[514] +
+ vX_[5426] * vX_[158] + vX_[5191] * vX_[511]) *
+ 0.207 +
+ vX_[4690] * x_in[23] + vX_[5900] * x_in[22] + vX_[4264] * x_in[20] + vX_[4550] * x_in[19] +
+ (vX_[6282] * vX_[776] + vX_[5420] * vX_[126] + vX_[4690] * x_in[19]) * 0.3735 +
+ (vX_[6313] * vX_[776] + vX_[4690] * x_in[18]) * -0.207 +
+ (vX_[6287] * vX_[4079] + vX_[5900] * x_in[20]) * -0.3735 + vX_[6373] * vX_[1986] + vX_[6349] * vX_[1983] -
+ vX_[4300] * vX_[75] + vX_[4284] * vX_[75] + vX_[6344] * 0.3735 + vX_[6344] * vX_[9] * 0.35 +
+ (0 - vX_[6361]) * 0.207 + vX_[4313] * 0.35 + vX_[4313] * vX_[75] * 0.08 + vX_[4313] * vX_[9] * 0.3735 +
+ vX_[4312] * vX_[75] * 0.3735 + (0 - vX_[4312] * vX_[9]) * 0.08 - vX_[4281] * vX_[75] +
+ vX_[5668] * vX_[75] * 0.3735 + vX_[5616] * vX_[9] * 0.08 + vX_[4861] * 0.35 + vX_[4861] * vX_[75] * 0.08 +
+ vX_[4861] * vX_[9] * 0.3735 + vX_[4269] * vX_[9] + vX_[4268] * vX_[75] + vX_[6364] * 0.08 +
+ vX_[6364] * vX_[75] * 0.35 + vX_[6355] * vX_[75] * 0.33 + vX_[4265] * vX_[9] * -0.33 + vX_[4271] * 0.08 +
+ vX_[4271] * vX_[75] * 0.35 + vX_[5832] * vX_[75] * 0.33 + vX_[4490] * vX_[9] * -0.33 + vX_[6049] * 0.08 +
+ vX_[6049] * vX_[75] * 0.35 + vX_[3859] * vX_[9] * 0.33 + vX_[3861] * vX_[75] * -0.33 +
+ vX_[3844] * vX_[9] * 0.35 + (vX_[6477] * vX_[75] + vX_[4546] * vX_[9]) * 0.33 +
+ (vX_[3848] * vX_[9] + vX_[6046] * vX_[75]) * -0.33 + vX_[5850] * 0.08 + vX_[5850] * vX_[75] * 0.35 +
+ vX_[3849] * vX_[75] * 0.33 + vX_[5839] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[4493] = vX_[6298] - vX_[6721];
+ vX_[7804] = vX_[6715] + vX_[7804];
+ vX_[1150] = vX_[6710] + vX_[1150];
+ vX_[6710] = 0 - vX_[1150];
+ vX_[6715] = vX_[4493] * vX_[1];
+ vX_[7934] = vX_[4493] * vX_[126];
+ vX_[7877] = vX_[6712] + vX_[7877];
+ vX_[6638] = vX_[6661] + vX_[6638];
+ vX_[7875] = vX_[6711] + vX_[7875];
+ vX_[6722] = vX_[6702] + vX_[6722];
+ vX_[6702] = vX_[6722] * vX_[126] + vX_[7875] * vX_[1];
+ vX_[6711] = vX_[6722] * vX_[139] + vX_[7875] * vX_[126];
+ vX_[6644] = vX_[6680] + vX_[6644];
+ vX_[6720] = 0 - (vX_[6709] + vX_[6720]) + vX_[6644];
+ vX_[6709] = vX_[6659] - vX_[6726];
+ vX_[7800] = vX_[6705] + vX_[7800];
+ vX_[6640] = vX_[6609] + vX_[6640];
+ vX_[6609] = 0 - vX_[6640];
+ vX_[6705] = vX_[6709] * vX_[1];
+ vX_[6680] = vX_[6709] * vX_[126];
+ vX_[6661] = vX_[6760] * 0.881 + (0 - vX_[6762]) * -0.0004405 + vX_[6764] * 8.81e-05;
+ vX_[6712] = vX_[6758] * -0.881;
+ vX_[6307] = vX_[6762] * 0.1104774;
+ vX_[5420] = vX_[6766] * 8.81e-05;
+ vX_[4494] = vX_[6712] - vX_[6307] + vX_[5420];
+ vX_[4298] = vX_[6661] * vX_[4053] + vX_[4494] * vX_[4070];
+ vX_[4292] = vX_[6750] * 3.146 + (0 - vX_[6757]) * 0.0825825;
+ vX_[7899] = vX_[6749] * -3.146;
+ vX_[6139] = vX_[6757] * 0.47422804;
+ vX_[6288] = vX_[7899] - vX_[6139];
+ vX_[1622] = vX_[4298] + vX_[4292] * vX_[4072] + vX_[6288] * vX_[4074];
+ vX_[4256] = vX_[6737] * 3.44 + vX_[6740] * 0.5824264;
+ vX_[6300] = 0 - vX_[4256];
+ vX_[5630] = vX_[6734] * 3.44 + (0 - vX_[6740]) * 0.1466472;
+ vX_[4872] = vX_[6734] * vX_[142] + vX_[6733] * vX_[125] + vX_[6737] * vX_[134] + vX_[6740] * vX_[515] +
+ vX_[6742] * vX_[566];
+ vX_[3852] = vX_[1622] + vX_[6300] * vX_[4085] + vX_[5630] * vX_[4092] + vX_[4872] * x_in[33];
+ vX_[2776] = 0 - vX_[6661];
+ vX_[5420] = 0 - vX_[6712] + vX_[6307] - vX_[5420];
+ vX_[6307] = vX_[6747] * -0.0004405 + vX_[6758] * 8.81e-05 + vX_[6766] * -0.000227999999999999;
+ vX_[6712] = vX_[6747] * 0.1104774 + vX_[6760] * 8.81e-05 + (0 - vX_[6764]) * 0.025713;
+ vX_[7955] = (0 - vX_[6758]) * -0.0004405;
+ vX_[6286] = (0 - vX_[6760]) * 0.1104774;
+ vX_[7896] = vX_[7955] + vX_[6286];
+ vX_[7896] = vX_[2776] * vX_[1994] + vX_[5420] * vX_[4061] + vX_[6307] * vX_[4053] + vX_[6712] * vX_[4070] +
+ vX_[7896] * vX_[4071] + vX_[7896] * vX_[4071];
+ vX_[9061] = vX_[6747] * 0.881 + (0 - vX_[6764]) * 0.1104774 + vX_[6766] * -0.0004405;
+ vX_[6290] = vX_[6758] * -0.00185880198235362 + vX_[6760] * 0.880992588508842 + vX_[6764] * 8.81e-05;
+ vX_[2776] = vX_[2776] * vX_[4071] + vX_[9061] * vX_[4070] + vX_[6290] * x_in[35];
+ vX_[6301] = 0 - vX_[9061];
+ vX_[7907] = vX_[6758] * 0.414812462825713 + vX_[6760] * -0.00185880198235362 + vX_[6766] * -8.81e-05;
+ vX_[5420] = vX_[5420] * vX_[4071] + vX_[6301] * vX_[4053] - vX_[7907] * x_in[35];
+ vX_[6292] = 0 - vX_[4292];
+ vX_[6139] = 0 - vX_[7899] + vX_[6139];
+ vX_[7899] = vX_[6745] * 0.0825825 + (0 - vX_[6757]) * -0.000102 + vX_[6746] * -0.007418 + vX_[6755] * 0.002735;
+ vX_[6283] = vX_[6745] * 0.47422804 + vX_[6757] * 2.1e-05 + (0 - vX_[6746]) * 0.084376 + (0 - vX_[6755]) * -0.007418;
+ vX_[6303] = (0 - vX_[6749]) * 0.0825825;
+ vX_[9059] = (0 - vX_[6750]) * 0.47422804;
+ vX_[7913] = vX_[6746] * -0.000102;
+ vX_[9129] = (0 - vX_[6755]) * 2.1e-05;
+ vX_[9065] = vX_[6303] + vX_[9059] + vX_[7913] + vX_[9129];
+ vX_[9065] = vX_[7896] + vX_[2776] * vX_[764] + vX_[5420] * vX_[54] + vX_[6292] * vX_[4066] + vX_[6139] * vX_[4091] +
+ vX_[7899] * vX_[4072] + vX_[6283] * vX_[4074] + vX_[9065] * vX_[4082] + vX_[9065] * vX_[4082];
+ vX_[4136] = vX_[6745] * 3.146 + (0 - vX_[6746]) * 0.47422804 + vX_[6755] * 0.0825825;
+ vX_[6373] = vX_[6749] * vX_[102] + vX_[6750] * vX_[101] + vX_[6746] * vX_[80] + vX_[6755] * vX_[74];
+ vX_[6292] =
+ vX_[2776] * vX_[7] + vX_[5420] * vX_[51] + vX_[6292] * vX_[4082] + vX_[4136] * vX_[4074] + vX_[6373] * x_in[34];
+ vX_[6365] = 0 - vX_[4136];
+ vX_[6349] = vX_[6749] * vX_[100] + vX_[6750] * vX_[102] + vX_[6746] * vX_[86] + vX_[6755] * vX_[85];
+ vX_[6139] = vX_[2776] * vX_[756] + vX_[5420] * vX_[7] + vX_[6139] * vX_[4082] + vX_[6365] * vX_[4072] -
+ vX_[6349] * x_in[34];
+ vX_[6329] = 0 - vX_[5630];
+ vX_[7922] = vX_[6733] * 0.5824264 + (0 - vX_[6744]) * -0.022734 + vX_[6740] * -3.6e-05 + vX_[6742] * -0.133138;
+ vX_[3456] = vX_[6733] * 0.1466472 + vX_[6744] * 0.009466 + (0 - vX_[6740]) * -5.1e-05 + vX_[6742] * -0.022734;
+ vX_[6509] = (0 - vX_[6734]) * 0.5824264;
+ vX_[6030] = (0 - vX_[6737]) * 0.1466472;
+ vX_[6487] = (0 - vX_[6744]) * -3.6e-05;
+ vX_[4430] = (0 - vX_[6742]) * -5.1e-05;
+ vX_[6094] = vX_[6509] + vX_[6030] + vX_[6487] - vX_[4430];
+ vX_[4452] = vX_[6734] * vX_[158] + vX_[6733] * vX_[514] + vX_[6737] * vX_[566] + vX_[6740] * vX_[565] +
+ vX_[6742] * vX_[122];
+ vX_[6094] = vX_[9065] + vX_[6292] * vX_[752] + vX_[6139] * vX_[93] + vX_[4256] * vX_[4095] + vX_[6329] * vX_[3880] +
+ vX_[7922] * vX_[4085] + vX_[3456] * vX_[4092] + vX_[6094] * vX_[4104] + vX_[6094] * vX_[4104] +
+ vX_[4452] * x_in[33];
+ vX_[7470] = vX_[6305] - vX_[6726];
+ vX_[3507] = vX_[7470] * vX_[126] + vX_[7800] * vX_[1];
+ vX_[6925] = vX_[7470] * vX_[139] + vX_[7800] * vX_[126];
+ vX_[3476] = vX_[6925] + vX_[6705];
+ vX_[3500] = vX_[3507] * vX_[139] + vX_[3476] * vX_[126] + vX_[6680] * vX_[1];
+ vX_[3840] = 0 - vX_[3500];
+ vX_[3841] = vX_[6726] + vX_[3507] * vX_[126] + vX_[6705] * vX_[1];
+ vX_[3875] = 0 - vX_[3841];
+ vX_[3902] = vX_[6726] + vX_[6925] * vX_[139] + vX_[6680] * vX_[126];
+ vX_[6719] = vX_[6708] + vX_[6719] - vX_[6638];
+ vX_[6708] = vX_[6644] * vX_[126] + vX_[6638] * vX_[1];
+ vX_[3877] = 0 - (vX_[6719] * vX_[139] + vX_[6720] * vX_[126]) + vX_[6708];
+ vX_[3876] = vX_[3877] + vX_[3841] * vX_[127];
+ vX_[3882] = 0 - vX_[3876];
+ vX_[3883] = vX_[6644] * vX_[139] + vX_[6638] * vX_[126];
+ vX_[6043] = vX_[6719] * vX_[126] + vX_[6720] * vX_[1] + vX_[3883];
+ vX_[6044] = 0 - vX_[3902];
+ vX_[6048] = vX_[6043] + vX_[3500] * vX_[127] + vX_[6044] * vX_[27];
+ vX_[7879] = vX_[6707] + vX_[7879];
+ vX_[6707] = vX_[7877] * vX_[126] + vX_[7879] * vX_[139];
+ vX_[4873] = vX_[6707] * vX_[126] + vX_[6711] * vX_[1];
+ vX_[6568] = vX_[6696] + vX_[6568];
+ vX_[6640] = 0 - vX_[6640];
+ vX_[6696] = vX_[6568] * vX_[139] + vX_[6640] * vX_[126];
+ vX_[6091] = 0 - vX_[6696];
+ vX_[6063] = vX_[4873] + vX_[6091] * vX_[27] + vX_[3875] * vX_[141];
+ vX_[2192] = 0 - vX_[6063];
+ vX_[6058] = vX_[7877] * vX_[1] + vX_[7879] * vX_[126];
+ vX_[3887] = vX_[6058] * vX_[139] + vX_[6702] * vX_[126];
+ vX_[3890] = vX_[6568] * vX_[126] + vX_[6609] * vX_[1];
+ vX_[6068] = 0 - vX_[3890];
+ vX_[6085] = vX_[3887] + vX_[6068] * vX_[127] + vX_[3902] * vX_[141];
+ vX_[3901] = vX_[6058] * vX_[126] + vX_[6702] * vX_[1];
+ vX_[3889] = vX_[3901] + vX_[6696] * vX_[127];
+ vX_[3900] = vX_[6707] * vX_[139] + vX_[6711] * vX_[126];
+ vX_[6220] = vX_[3900] + vX_[3890] * vX_[27] + vX_[3840] * vX_[141];
+ vX_[3863] = 0 - vX_[3889] + vX_[6220];
+ vX_[3635] = 0 - vX_[3500];
+ vX_[4078] = 0 - vX_[3841];
+ vX_[3875] = vX_[3840] * vX_[569] + vX_[3875] * vX_[517] + vX_[3902] * vX_[105] + vX_[3882] * vX_[142] +
+ vX_[6048] * vX_[153] + vX_[2192] * vX_[134] + vX_[6085] * vX_[128] + vX_[3863] * vX_[125] +
+ vX_[3635] * vX_[566] + vX_[3500] * vX_[563] + vX_[4078] * vX_[516] + vX_[3902] * vX_[520];
+ vX_[3840] = vX_[6733] * -3.44;
+ vX_[6357] = vX_[6744] * 0.1466472;
+ vX_[6473] = vX_[6742] * 0.5824264;
+ vX_[4415] = 0 - vX_[3840] + vX_[6357] - vX_[6473];
+ vX_[3868] = vX_[6734] * vX_[153] + vX_[6733] * vX_[128] + vX_[6737] * vX_[125] + vX_[6740] * vX_[563] +
+ vX_[6742] * vX_[514];
+ vX_[6329] = vX_[6292] * vX_[751] + vX_[6139] * vX_[75] + vX_[4415] * vX_[4085] + vX_[6329] * vX_[4104] -
+ vX_[3868] * x_in[33];
+ vX_[6726] = vX_[6305] + vX_[6659] + vX_[6726] - vX_[3841] - vX_[3902];
+ vX_[6659] = 0 - vX_[6726];
+ vX_[6708] = vX_[6708] + vX_[6659] * vX_[127];
+ vX_[3883] = vX_[3883] + vX_[6726] * vX_[27];
+ vX_[6305] = 0 - vX_[6048];
+ vX_[6214] = 0 - vX_[6085];
+ vX_[6634] = vX_[6626] + vX_[6634] + vX_[7879] + vX_[7875] - vX_[3901] - vX_[3900];
+ vX_[6220] = vX_[6634] - vX_[6220];
+ vX_[6626] = 0 - vX_[6696];
+ vX_[3605] = 0 - vX_[3500];
+ vX_[3862] = 0 - vX_[3902];
+ vX_[3891] = vX_[7806] - vX_[6721];
+ vX_[1227] = vX_[6713] + vX_[1227];
+ vX_[6713] = vX_[3891] * vX_[126] + vX_[7804] * vX_[1];
+ vX_[3594] = vX_[3891] * vX_[139] + vX_[7804] * vX_[126];
+ vX_[6762] = vX_[6758] * 0.1104774 + vX_[6760] * -0.0004405 + vX_[6762] * 0.025941;
+ vX_[3874] = (0 - vX_[6747]) * 8.81e-05;
+ vX_[6286] = vX_[3874] + vX_[6286];
+ vX_[6766] = vX_[6747] * -0.0004405 + vX_[6758] * -8.81e-05 + vX_[6766] * 0.000468;
+ vX_[6286] = vX_[6661] * vX_[4062] + vX_[6301] * vX_[4061] + vX_[6307] * vX_[4071] + vX_[6762] * vX_[4070] +
+ vX_[6286] * vX_[4053] + vX_[6286] * vX_[4053] + vX_[6766] * x_in[35];
+ vX_[3874] = vX_[3874] + vX_[7955];
+ vX_[6764] = vX_[6747] * -0.1104774 + vX_[6760] * 8.81e-05 + vX_[6764] * 0.026409;
+ vX_[3874] = vX_[4494] * vX_[4062] + vX_[9061] * vX_[1994] + vX_[6712] * vX_[4071] + vX_[6762] * vX_[4053] +
+ vX_[3874] * vX_[4070] + vX_[3874] * vX_[4070] - vX_[6764] * x_in[35];
+ vX_[6762] = vX_[6749] * 0.47422804 + vX_[6750] * 0.0825825 + vX_[6757] * 0.081641 + (0 - vX_[6746]) * 2.1e-05 +
+ vX_[6755] * -0.000102;
+ vX_[9061] = (0 - vX_[6757]) * -0.007418;
+ vX_[9129] = vX_[9059] + vX_[9061] - vX_[9129];
+ vX_[9059] =
+ vX_[6745] * vX_[69] + vX_[6749] * vX_[85] + vX_[6750] * vX_[74] + vX_[6746] * vX_[117] + vX_[6755] * vX_[113];
+ vX_[9129] = vX_[4298] * -0.35 + vX_[6286] * vX_[7] + vX_[3874] * vX_[51] + vX_[4292] * vX_[4064] +
+ vX_[6365] * vX_[4091] + vX_[7899] * vX_[4082] + vX_[6762] * vX_[4074] + vX_[9129] * vX_[4072] +
+ vX_[9129] * vX_[4072] + vX_[9059] * x_in[34];
+ vX_[9061] = vX_[6303] - vX_[9061] - vX_[7913];
+ vX_[7913] =
+ vX_[6745] * vX_[82] + vX_[6749] * vX_[86] + vX_[6750] * vX_[80] + vX_[6746] * vX_[111] + vX_[6755] * vX_[117];
+ vX_[9061] = vX_[6286] * vX_[52] + vX_[3874] * vX_[7] + vX_[6288] * vX_[4064] + vX_[4136] * vX_[4066] +
+ vX_[6283] * vX_[4082] + vX_[6762] * vX_[4072] + vX_[9061] * vX_[4074] + vX_[9061] * vX_[4074] -
+ vX_[7913] * x_in[34];
+ vX_[6473] = vX_[3840] - vX_[6357] + vX_[6473];
+ vX_[6357] = vX_[6734] * 0.1466472 + vX_[6737] * 0.5824264 + vX_[6744] * -5.1e-05 + (0 - vX_[6740]) * -0.123672 +
+ (0 - vX_[6742]) * -3.6e-05;
+ vX_[3840] = vX_[6740] * -0.022734;
+ vX_[6487] = vX_[6509] - vX_[6487] - vX_[3840];
+ vX_[6509] =
+ vX_[6734] * vX_[96] + vX_[6733] * vX_[563] + vX_[6737] * vX_[515] + vX_[6740] * vX_[513] + vX_[6742] * vX_[565];
+ vX_[6487] = vX_[9129] * vX_[4] + vX_[9061] * vX_[75] + vX_[6473] * vX_[4095] + vX_[5630] * vX_[4096] +
+ vX_[6357] * vX_[4085] + vX_[3456] * vX_[4104] + vX_[6487] * vX_[4092] + vX_[6487] * vX_[4092] -
+ vX_[6509] * x_in[33];
+ vX_[6793] = vX_[6793] * vX_[1986];
+ vX_[6794] = vX_[6794] * vX_[1986];
+ vX_[3456] = vX_[6793] * vX_[7] + vX_[6794] * vX_[51];
+ vX_[6795] = vX_[6795] * vX_[1986];
+ vX_[6765] = vX_[6765] * vX_[1975];
+ vX_[5630] = vX_[6765] * vX_[7];
+ vX_[6762] = vX_[6765] * vX_[51];
+ vX_[6781] = vX_[6781] * vX_[1993];
+ vX_[4136] = vX_[6781] * vX_[51];
+ vX_[6767] = vX_[6767] * vX_[1975];
+ vX_[6283] = vX_[6767] * vX_[7];
+ vX_[6288] = 0 - vX_[6283];
+ vX_[6303] = vX_[6767] * vX_[51];
+ vX_[6365] = 0 - vX_[6762];
+ vX_[7899] = 0 - vX_[6781];
+ vX_[4292] = vX_[7899] * vX_[7];
+ vX_[6782] = vX_[6782] * vX_[1993];
+ vX_[4298] = 0 - vX_[6782];
+ vX_[6712] = vX_[4298] * vX_[51];
+ vX_[4494] = vX_[6782] * vX_[7];
+ vX_[6769] = vX_[6769] * vX_[1983];
+ vX_[6760] = vX_[6793] + vX_[6769];
+ vX_[6770] = vX_[6770] * vX_[1983];
+ vX_[6747] = 0 - vX_[6794] - vX_[6770];
+ vX_[7955] = vX_[6760] * vX_[51] + vX_[6747] * vX_[7];
+ vX_[6301] = vX_[6769] * vX_[7] + vX_[6770] * vX_[51];
+ vX_[6787] = vX_[6787] * vX_[1993] + vX_[6775] * vX_[1975];
+ vX_[6775] = 0 - vX_[6787];
+ vX_[6307] = 0 - vX_[6787];
+ vX_[6661] = vX_[6307] * vX_[7];
+ vX_[6758] = vX_[6787] * vX_[51];
+ vX_[5847] = vX_[6788] * vX_[893] + vX_[7020] * vX_[845] + vX_[7029] * vX_[877];
+ vX_[6476] = 0 - vX_[5847];
+ vX_[3886] = vX_[6788] * vX_[985] + vX_[7020] * vX_[878] + vX_[7029] * vX_[839];
+ vX_[3871] = vX_[6476] * x_in[18] + vX_[3886] * x_in[19];
+ vX_[3873] = 0 - vX_[3871];
+ vX_[3885] = 0 - vX_[3871];
+ vX_[3869] = vX_[3885] * vX_[7];
+ vX_[3898] = vX_[3871] * vX_[51];
+ vX_[6788] = vX_[6788] * vX_[875] + vX_[7020] * vX_[894] + vX_[7029] * vX_[986];
+ jac[1254] = vX_[6349] * vX_[3967] + vX_[6373] * vX_[4066] + vX_[7913] * vX_[3980] + vX_[9059] * vX_[4072] +
+ vX_[9065] + vX_[6788] * vX_[899] + vX_[5847] * vX_[851] + vX_[3886] * vX_[884];
+ jac[1290] = vX_[7907] * vX_[1988] + vX_[6290] * vX_[1994] + vX_[6764] * vX_[988] + vX_[6766] * vX_[4053] +
+ vX_[7896] + vX_[6788] * vX_[908] + vX_[5847] * vX_[862] + vX_[3886] * vX_[881];
+ vX_[6764] = vX_[6788] * x_in[35];
+ vX_[6766] = vX_[6764] * vX_[7];
+ vX_[7907] = vX_[6764] * vX_[51];
+ vX_[6290] = vX_[6788] * x_in[34];
+ vX_[7896] = vX_[6290] * vX_[51];
+ vX_[7913] = vX_[5847] * x_in[33];
+ vX_[9059] = vX_[6290] * vX_[7];
+ vX_[6349] = vX_[7913] * vX_[7];
+ vX_[6373] = vX_[7913] * vX_[51];
+ vX_[9065] = vX_[6799] * vX_[940];
+ vX_[7029] = 0 - vX_[9065];
+ vX_[7020] = 0 - vX_[9065];
+ vX_[3897] = vX_[7020] * vX_[7];
+ vX_[3866] = vX_[9065] * vX_[51];
+ vX_[1150] = 0 - vX_[1150];
+ vX_[4411] = vX_[3594] + vX_[6715];
+ vX_[6483] = 0 - vX_[6708];
+ vX_[6472] = 0 - vX_[3883];
+ vX_[6634] = 0 - vX_[6634] + vX_[3889];
+ vX_[3889] = 0 - vX_[3890];
+ vX_[6759] = vX_[6759] * vX_[1975];
+ vX_[3855] = vX_[6759] * vX_[51];
+ vX_[6761] = vX_[6761] * vX_[1975];
+ vX_[3860] = vX_[6761] * vX_[7];
+ vX_[6763] = vX_[6763] * vX_[1975];
+ vX_[6780] = vX_[6780] * vX_[1993];
+ vX_[6796] = vX_[6796] * vX_[1986];
+ vX_[3854] = vX_[6796] * vX_[7];
+ vX_[3853] = vX_[6796] * vX_[51];
+ vX_[6785] = vX_[6785] * vX_[810];
+ vX_[3850] = vX_[6785] * vX_[51];
+ vX_[6797] = vX_[6797] * vX_[1986];
+ vX_[3857] = vX_[6797] * vX_[7];
+ vX_[3856] = 0 - vX_[3857];
+ vX_[6649] = vX_[6797] * vX_[51];
+ vX_[6492] = 0 - vX_[6759] - vX_[6785];
+ vX_[6786] = vX_[6786] * vX_[810];
+ vX_[6488] = 0 - vX_[6761] - vX_[6786];
+ vX_[5855] = vX_[6492] * vX_[7] + vX_[6488] * vX_[51];
+ vX_[3462] = vX_[6786] * vX_[7];
+ vX_[6783] = vX_[6783] * vX_[1993] + vX_[6774] * vX_[1986];
+ vX_[6774] = vX_[6783] * vX_[7];
+ vX_[3463] = vX_[6783] * vX_[51];
+ vX_[3465] = 0 - vX_[3886];
+ vX_[3447] = vX_[6788] * x_in[18] + vX_[3465] * x_in[20];
+ vX_[3448] = vX_[3447] * vX_[7];
+ vX_[1945] = vX_[3447] * vX_[51];
+ vX_[3450] = vX_[6788] * x_in[33];
+ vX_[2130] = vX_[5847] * x_in[35];
+ vX_[3452] = 0 - vX_[2130];
+ vX_[6924] = vX_[3452] * vX_[7];
+ vX_[6919] = vX_[2130] * vX_[51];
+ vX_[3453] = vX_[5847] * x_in[34];
+ vX_[6933] = 0 - vX_[3453];
+ vX_[9089] = vX_[3450] * vX_[7];
+ vX_[3050] = 0 - vX_[3453];
+ vX_[3230] = vX_[3050] * vX_[7];
+ vX_[3593] = vX_[3450] * vX_[51];
+ vX_[2802] = vX_[3453] * vX_[51];
+ vX_[6498] = vX_[6799] * vX_[929];
+ vX_[6466] = vX_[6498] * vX_[7];
+ vX_[6918] = vX_[6498] * vX_[51];
+ jac[570] =
+ 0 -
+ (vX_[6714] * vX_[776] + vX_[6701] * vX_[957] + vX_[4493] * vX_[699] + vX_[7804] * vX_[701] +
+ vX_[6710] * vX_[142] + vX_[6715] * vX_[389] + vX_[7934] * vX_[125] + vX_[7877] * vX_[674] +
+ vX_[6638] * vX_[150] + vX_[7875] * vX_[643] + vX_[6702] * vX_[642] + vX_[6711] * vX_[639] +
+ vX_[6720] * vX_[159] + vX_[6709] * vX_[573] + vX_[7800] * vX_[575] + vX_[6609] * vX_[623] +
+ vX_[6705] * vX_[519] + vX_[6680] * vX_[570] + vX_[3852] * x_in[22] + vX_[6094] * x_in[19] +
+ (vX_[6706] * vX_[776] + vX_[3875] * vX_[139] + vX_[3852] * x_in[20]) * -0.3735 -
+ (vX_[6716] * vX_[4079] + vX_[6329] * x_in[23]) + (vX_[6701] * vX_[4079] + vX_[6329] * x_in[19]) * -0.3735 +
+ (vX_[6732] * vX_[4079] + vX_[6091] * vX_[517] + vX_[3890] * vX_[569] + vX_[6726] * vX_[152] +
+ vX_[6044] * vX_[154] + vX_[6708] * vX_[125] + vX_[3883] * vX_[134] + vX_[6305] * vX_[137] +
+ vX_[6214] * vX_[153] + vX_[6220] * vX_[142] + vX_[6626] * vX_[515] + vX_[3890] * vX_[566] +
+ vX_[3605] * vX_[96] + vX_[3862] * vX_[522] + vX_[6329] * x_in[18]) *
+ 0.207 -
+ (vX_[6706] * vX_[951] + vX_[3891] * vX_[698] + vX_[1227] * vX_[684] + vX_[6713] * vX_[125] +
+ vX_[3594] * vX_[271] + vX_[6722] * vX_[640] + vX_[6644] * vX_[160] + vX_[7879] * vX_[675] +
+ vX_[6058] * vX_[641] + vX_[6707] * vX_[568] + vX_[6719] * vX_[149] + vX_[7470] * vX_[572] +
+ vX_[6568] * vX_[622] + vX_[3507] * vX_[570] + vX_[6925] * vX_[523] + vX_[3875] * vX_[140] +
+ vX_[6487] * x_in[20]) +
+ vX_[6748] * vX_[1975] + vX_[6784] * vX_[810] + vX_[3456] * vX_[9] + (0 - vX_[6795]) * 0.3735 +
+ vX_[6795] * vX_[9] * -0.35 + vX_[5630] * 0.35 + vX_[5630] * vX_[75] * 0.08 + vX_[5630] * vX_[9] * 0.3735 +
+ vX_[6762] * vX_[75] * 0.3735 + vX_[4136] * vX_[75] * -0.207 + vX_[6288] * vX_[75] * 0.3735 +
+ vX_[6303] * 0.35 + (vX_[6365] * vX_[9] + vX_[6303] * vX_[75]) * 0.08 + vX_[6303] * vX_[9] * 0.3735 +
+ (vX_[4292] * vX_[9] + vX_[6712] * vX_[9]) * 0.207 + vX_[4494] * vX_[75] * 0.207 + vX_[7955] * vX_[75] +
+ vX_[6301] * vX_[9] + (vX_[6283] * vX_[9] - vX_[6787]) * 0.08 + vX_[6775] * vX_[75] * 0.35 +
+ vX_[6661] * vX_[75] * 0.33 + vX_[6758] * vX_[9] * 0.33 + (0 - vX_[3871]) * 0.08 +
+ vX_[3873] * vX_[75] * 0.35 + vX_[3869] * vX_[75] * 0.33 + vX_[3898] * vX_[9] * 0.33 +
+ vX_[6766] * vX_[9] * 0.33 + vX_[7907] * vX_[75] * 0.33 + vX_[6290] * vX_[9] * 0.35 +
+ vX_[7896] * vX_[75] * 0.33 + vX_[7913] * 0.08 + vX_[7913] * vX_[75] * 0.35 +
+ (vX_[9059] * vX_[9] + vX_[6349] * vX_[75]) * 0.33 + vX_[6373] * vX_[9] * -0.33 + (0 - vX_[9065]) * 0.08 +
+ vX_[7029] * vX_[75] * 0.35 + vX_[3897] * vX_[75] * 0.33 + vX_[3866] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[6716] * vX_[776] + vX_[6714] * vX_[4079] + vX_[6706] * vX_[957] + vX_[6701] * vX_[951] +
+ vX_[3891] * vX_[701] + vX_[4493] * vX_[697] + vX_[7804] * vX_[698] + vX_[1227] * vX_[142] +
+ vX_[1150] * vX_[684] + vX_[6713] * vX_[389] + vX_[4411] * vX_[125] + vX_[7934] * vX_[271] +
+ vX_[7877] * vX_[675] + vX_[6722] * vX_[643] + vX_[6644] * vX_[150] + vX_[6638] * vX_[160] +
+ vX_[7879] * vX_[674] + vX_[7875] * vX_[640] + vX_[6058] * vX_[642] + vX_[6707] * vX_[639] +
+ vX_[6702] * vX_[641] + vX_[6711] * vX_[568] + vX_[6719] * vX_[159] + vX_[6720] * vX_[149] +
+ vX_[7470] * vX_[575] + vX_[6709] * vX_[571] + vX_[7800] * vX_[572] + vX_[6568] * vX_[623] +
+ vX_[6640] * vX_[622] + vX_[3507] * vX_[519] + vX_[3476] * vX_[570] + vX_[6680] * vX_[523] +
+ vX_[3875] * vX_[138] +
+ (vX_[6696] * vX_[567] + vX_[6068] * vX_[105] + vX_[3500] * vX_[154] + vX_[6659] * vX_[129] +
+ vX_[3841] * vX_[143] + vX_[6483] * vX_[128] + vX_[3876] * vX_[137] + vX_[6472] * vX_[125] +
+ vX_[6063] * vX_[142] + vX_[6634] * vX_[153] + vX_[6696] * vX_[563] + vX_[3889] * vX_[514] +
+ vX_[3500] * vX_[158] + vX_[3841] * vX_[511]) *
+ 0.207 +
+ vX_[3852] * x_in[23] + vX_[6329] * x_in[22] + vX_[6094] * x_in[20] + vX_[6487] * x_in[19] +
+ (vX_[6701] * vX_[776] + vX_[3875] * vX_[126] + vX_[3852] * x_in[19]) * 0.3735 +
+ (vX_[6732] * vX_[776] + vX_[3852] * x_in[18]) * -0.207 +
+ (vX_[6706] * vX_[4079] + vX_[6329] * x_in[20]) * -0.3735 + vX_[6792] * vX_[1986] + vX_[6768] * vX_[1983] -
+ vX_[3855] * vX_[75] + vX_[3860] * vX_[75] + vX_[6763] * 0.3735 + vX_[6763] * vX_[9] * 0.35 +
+ (0 - vX_[6780]) * 0.207 + vX_[3854] * 0.35 + vX_[3854] * vX_[75] * 0.08 + vX_[3854] * vX_[9] * 0.3735 +
+ vX_[3853] * vX_[75] * 0.3735 + (0 - vX_[3853] * vX_[9]) * 0.08 - vX_[3850] * vX_[75] +
+ vX_[3856] * vX_[75] * 0.3735 + vX_[3857] * vX_[9] * 0.08 + vX_[6649] * 0.35 + vX_[6649] * vX_[75] * 0.08 +
+ vX_[6649] * vX_[9] * 0.3735 + vX_[5855] * vX_[9] + vX_[3462] * vX_[75] + vX_[6783] * 0.08 +
+ vX_[6783] * vX_[75] * 0.35 + vX_[6774] * vX_[75] * 0.33 + vX_[3463] * vX_[9] * -0.33 + vX_[3447] * 0.08 +
+ vX_[3447] * vX_[75] * 0.35 + vX_[3448] * vX_[75] * 0.33 + vX_[1945] * vX_[9] * -0.33 + vX_[3450] * 0.08 +
+ vX_[3450] * vX_[75] * 0.35 + vX_[6924] * vX_[9] * 0.33 + vX_[6919] * vX_[75] * -0.33 +
+ vX_[6933] * vX_[9] * 0.35 + (vX_[9089] * vX_[75] + vX_[3230] * vX_[9]) * 0.33 +
+ (vX_[3593] * vX_[9] + vX_[2802] * vX_[75]) * -0.33 + vX_[6498] * 0.08 + vX_[6498] * vX_[75] * 0.35 +
+ vX_[6466] * vX_[75] * 0.33 + vX_[6918] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[3891] = vX_[6717] - vX_[7148];
+ vX_[6606] = vX_[7142] + vX_[6606];
+ vX_[7900] = vX_[7137] + vX_[7900];
+ vX_[7137] = 0 - vX_[7900];
+ vX_[7142] = vX_[3891] * vX_[1];
+ vX_[6659] = vX_[3891] * vX_[126];
+ vX_[6619] = vX_[7139] + vX_[6619];
+ vX_[5350] = vX_[5382] + vX_[5350];
+ vX_[6600] = vX_[7138] + vX_[6600];
+ vX_[7149] = vX_[7129] + vX_[7149];
+ vX_[7129] = vX_[7149] * vX_[126] + vX_[6600] * vX_[1];
+ vX_[7138] = vX_[7149] * vX_[139] + vX_[6600] * vX_[126];
+ vX_[5353] = vX_[5392] + vX_[5353];
+ vX_[7147] = 0 - (vX_[7136] + vX_[7147]) + vX_[5353];
+ vX_[7136] = vX_[5371] - vX_[7153];
+ vX_[6602] = vX_[7132] + vX_[6602];
+ vX_[5361] = vX_[5359] + vX_[5361];
+ vX_[5359] = 0 - vX_[5361];
+ vX_[7132] = vX_[7136] * vX_[1];
+ vX_[5392] = vX_[7136] * vX_[126];
+ vX_[5382] = vX_[7187] * 0.881 + (0 - vX_[7189]) * -0.0004405 + vX_[7191] * 8.81e-05;
+ vX_[7139] = vX_[7185] * -0.881;
+ vX_[6726] = vX_[7189] * 0.1104774;
+ vX_[3875] = vX_[7193] * 8.81e-05;
+ vX_[6068] = vX_[7139] - vX_[6726] + vX_[3875];
+ vX_[6058] = vX_[5382] * vX_[4053] + vX_[6068] * vX_[4070];
+ vX_[6091] = vX_[7177] * 3.146 + (0 - vX_[7184]) * 0.0825825;
+ vX_[6640] = vX_[7176] * -3.146;
+ vX_[6568] = vX_[7184] * 0.47422804;
+ vX_[6707] = vX_[6640] - vX_[6568];
+ vX_[7879] = vX_[6058] + vX_[6091] * vX_[4072] + vX_[6707] * vX_[4074];
+ vX_[6044] = vX_[7164] * 3.44 + vX_[7167] * 0.5824264;
+ vX_[6719] = 0 - vX_[6044];
+ vX_[3476] = vX_[7161] * 3.44 + (0 - vX_[7167]) * 0.1466472;
+ vX_[6925] = vX_[7161] * vX_[142] + vX_[7160] * vX_[125] + vX_[7164] * vX_[134] + vX_[7167] * vX_[515] +
+ vX_[7169] * vX_[566];
+ vX_[3507] = vX_[7879] + vX_[6719] * vX_[4085] + vX_[3476] * vX_[4092] + vX_[6925] * x_in[33];
+ vX_[7470] = 0 - vX_[5382];
+ vX_[3875] = 0 - vX_[7139] + vX_[6726] - vX_[3875];
+ vX_[6726] = vX_[7174] * -0.0004405 + vX_[7185] * 8.81e-05 + vX_[7193] * -0.000227999999999999;
+ vX_[7139] = vX_[7174] * 0.1104774 + vX_[7187] * 8.81e-05 + (0 - vX_[7191]) * 0.025713;
+ vX_[6680] = (0 - vX_[7185]) * -0.0004405;
+ vX_[6705] = (0 - vX_[7187]) * 0.1104774;
+ vX_[6609] = vX_[6680] + vX_[6705];
+ vX_[6609] = vX_[7470] * vX_[1994] + vX_[3875] * vX_[4061] + vX_[6726] * vX_[4053] + vX_[7139] * vX_[4070] +
+ vX_[6609] * vX_[4071] + vX_[6609] * vX_[4071];
+ vX_[7800] = vX_[7174] * 0.881 + (0 - vX_[7191]) * 0.1104774 + vX_[7193] * -0.0004405;
+ vX_[6709] = vX_[7185] * -0.00185880198235362 + vX_[7187] * 0.880992588508842 + vX_[7191] * 8.81e-05;
+ vX_[7470] = vX_[7470] * vX_[4071] + vX_[7800] * vX_[4070] + vX_[6709] * x_in[35];
+ vX_[6720] = 0 - vX_[7800];
+ vX_[6644] = vX_[7185] * 0.414812462825713 + vX_[7187] * -0.00185880198235362 + vX_[7193] * -8.81e-05;
+ vX_[3875] = vX_[3875] * vX_[4071] + vX_[6720] * vX_[4053] - vX_[6644] * x_in[35];
+ vX_[6711] = 0 - vX_[6091];
+ vX_[6568] = 0 - vX_[6640] + vX_[6568];
+ vX_[6640] = vX_[7172] * 0.0825825 + (0 - vX_[7184]) * -0.000102 + vX_[7173] * -0.007418 + vX_[7182] * 0.002735;
+ vX_[6702] = vX_[7172] * 0.47422804 + vX_[7184] * 2.1e-05 + (0 - vX_[7173]) * 0.084376 + (0 - vX_[7182]) * -0.007418;
+ vX_[6722] = (0 - vX_[7176]) * 0.0825825;
+ vX_[7875] = (0 - vX_[7177]) * 0.47422804;
+ vX_[6638] = vX_[7173] * -0.000102;
+ vX_[7877] = (0 - vX_[7182]) * 2.1e-05;
+ vX_[7804] = vX_[6722] + vX_[7875] + vX_[6638] + vX_[7877];
+ vX_[7804] = vX_[6609] + vX_[7470] * vX_[764] + vX_[3875] * vX_[54] + vX_[6711] * vX_[4066] + vX_[6568] * vX_[4091] +
+ vX_[6640] * vX_[4072] + vX_[6702] * vX_[4074] + vX_[7804] * vX_[4082] + vX_[7804] * vX_[4082];
+ vX_[4493] = vX_[7172] * 3.146 + (0 - vX_[7173]) * 0.47422804 + vX_[7182] * 0.0825825;
+ vX_[6792] = vX_[7176] * vX_[102] + vX_[7177] * vX_[101] + vX_[7173] * vX_[80] + vX_[7182] * vX_[74];
+ vX_[6711] =
+ vX_[7470] * vX_[7] + vX_[3875] * vX_[51] + vX_[6711] * vX_[4082] + vX_[4493] * vX_[4074] + vX_[6792] * x_in[34];
+ vX_[6784] = 0 - vX_[4493];
+ vX_[6768] = vX_[7176] * vX_[100] + vX_[7177] * vX_[102] + vX_[7173] * vX_[86] + vX_[7182] * vX_[85];
+ vX_[6568] = vX_[7470] * vX_[756] + vX_[3875] * vX_[7] + vX_[6568] * vX_[4082] + vX_[6784] * vX_[4072] -
+ vX_[6768] * x_in[34];
+ vX_[6748] = 0 - vX_[3476];
+ vX_[8921] = vX_[7160] * 0.5824264 + (0 - vX_[7171]) * -0.022734 + vX_[7167] * -3.6e-05 + vX_[7169] * -0.133138;
+ vX_[3101] = vX_[7160] * 0.1466472 + vX_[7171] * 0.009466 + (0 - vX_[7167]) * -5.1e-05 + vX_[7169] * -0.022734;
+ vX_[7755] = (0 - vX_[7161]) * 0.5824264;
+ vX_[3070] = (0 - vX_[7164]) * 0.1466472;
+ vX_[3094] = (0 - vX_[7171]) * -3.6e-05;
+ vX_[3444] = (0 - vX_[7169]) * -5.1e-05;
+ vX_[3445] = vX_[7755] + vX_[3070] + vX_[3094] - vX_[3444];
+ vX_[3479] = vX_[7161] * vX_[158] + vX_[7160] * vX_[514] + vX_[7164] * vX_[566] + vX_[7167] * vX_[565] +
+ vX_[7169] * vX_[122];
+ vX_[3445] = vX_[7804] + vX_[6711] * vX_[752] + vX_[6568] * vX_[93] + vX_[6044] * vX_[4095] + vX_[6748] * vX_[3880] +
+ vX_[8921] * vX_[4085] + vX_[3101] * vX_[4092] + vX_[3445] * vX_[4104] + vX_[3445] * vX_[4104] +
+ vX_[3479] * x_in[33];
+ vX_[3506] = vX_[6724] - vX_[7153];
+ vX_[3481] = vX_[3506] * vX_[126] + vX_[6602] * vX_[1];
+ vX_[3480] = vX_[3506] * vX_[139] + vX_[6602] * vX_[126];
+ vX_[3486] = vX_[3480] + vX_[7132];
+ vX_[3487] = vX_[3481] * vX_[139] + vX_[3486] * vX_[126] + vX_[5392] * vX_[1];
+ vX_[8063] = 0 - vX_[3487];
+ vX_[6513] = vX_[7153] + vX_[3481] * vX_[126] + vX_[7132] * vX_[1];
+ vX_[6510] = 0 - vX_[6513];
+ vX_[7944] = vX_[7153] + vX_[3480] * vX_[139] + vX_[5392] * vX_[126];
+ vX_[7146] = vX_[7135] + vX_[7146] - vX_[5350];
+ vX_[7135] = vX_[5353] * vX_[126] + vX_[5350] * vX_[1];
+ vX_[2758] = 0 - (vX_[7146] * vX_[139] + vX_[7147] * vX_[126]) + vX_[7135];
+ vX_[6505] = vX_[2758] + vX_[6513] * vX_[127];
+ vX_[3235] = 0 - vX_[6505];
+ vX_[7435] = vX_[5353] * vX_[139] + vX_[5350] * vX_[126];
+ vX_[3491] = vX_[7146] * vX_[126] + vX_[7147] * vX_[1] + vX_[7435];
+ vX_[3494] = 0 - vX_[7944];
+ vX_[6525] = vX_[3491] + vX_[3487] * vX_[127] + vX_[3494] * vX_[27];
+ vX_[6604] = vX_[7134] + vX_[6604];
+ vX_[7134] = vX_[6619] * vX_[126] + vX_[6604] * vX_[139];
+ vX_[3229] = vX_[7134] * vX_[126] + vX_[7138] * vX_[1];
+ vX_[6987] = vX_[7112] + vX_[6987];
+ vX_[5361] = 0 - vX_[5361];
+ vX_[7112] = vX_[6987] * vX_[139] + vX_[5361] * vX_[126];
+ vX_[3505] = 0 - vX_[7112];
+ vX_[3493] = vX_[3229] + vX_[3505] * vX_[27] + vX_[6510] * vX_[141];
+ vX_[3504] = 0 - vX_[3493];
+ vX_[6671] = vX_[6619] * vX_[1] + vX_[6604] * vX_[126];
+ vX_[3467] = vX_[6671] * vX_[139] + vX_[7129] * vX_[126];
+ vX_[6463] = vX_[6987] * vX_[126] + vX_[5359] * vX_[1];
+ vX_[3682] = 0 - vX_[6463];
+ vX_[6899] = vX_[3467] + vX_[3682] * vX_[127] + vX_[7944] * vX_[141];
+ vX_[8551] = vX_[6671] * vX_[126] + vX_[7129] * vX_[1];
+ vX_[2406] = vX_[8551] + vX_[7112] * vX_[127];
+ vX_[3472] = vX_[7134] * vX_[139] + vX_[7138] * vX_[126];
+ vX_[6273] = vX_[3472] + vX_[6463] * vX_[27] + vX_[8063] * vX_[141];
+ vX_[7471] = 0 - vX_[2406] + vX_[6273];
+ vX_[3466] = 0 - vX_[3487];
+ vX_[3495] = 0 - vX_[6513];
+ vX_[6510] = vX_[8063] * vX_[569] + vX_[6510] * vX_[517] + vX_[7944] * vX_[105] + vX_[3235] * vX_[142] +
+ vX_[6525] * vX_[153] + vX_[3504] * vX_[134] + vX_[6899] * vX_[128] + vX_[7471] * vX_[125] +
+ vX_[3466] * vX_[566] + vX_[3487] * vX_[563] + vX_[3495] * vX_[516] + vX_[7944] * vX_[520];
+ vX_[8063] = vX_[7160] * -3.44;
+ vX_[1965] = vX_[7171] * 0.1466472;
+ vX_[3478] = vX_[7169] * 0.5824264;
+ vX_[3363] = 0 - vX_[8063] + vX_[1965] - vX_[3478];
+ vX_[2491] = vX_[7161] * vX_[153] + vX_[7160] * vX_[128] + vX_[7164] * vX_[125] + vX_[7167] * vX_[563] +
+ vX_[7169] * vX_[514];
+ vX_[6748] = vX_[6711] * vX_[751] + vX_[6568] * vX_[75] + vX_[3363] * vX_[4085] + vX_[6748] * vX_[4104] -
+ vX_[2491] * x_in[33];
+ vX_[7153] = vX_[6724] + vX_[5371] + vX_[7153] - vX_[6513] - vX_[7944];
+ vX_[5371] = 0 - vX_[7153];
+ vX_[7135] = vX_[7135] + vX_[5371] * vX_[127];
+ vX_[7435] = vX_[7435] + vX_[7153] * vX_[27];
+ vX_[6724] = 0 - vX_[6525];
+ vX_[3490] = 0 - vX_[6899];
+ vX_[5367] = vX_[5363] + vX_[5367] + vX_[6604] + vX_[6600] - vX_[8551] - vX_[3472];
+ vX_[6273] = vX_[5367] - vX_[6273];
+ vX_[5363] = 0 - vX_[7112];
+ vX_[3475] = 0 - vX_[3487];
+ vX_[3477] = 0 - vX_[7944];
+ vX_[3489] = vX_[6531] - vX_[7148];
+ vX_[7928] = vX_[7140] + vX_[7928];
+ vX_[7140] = vX_[3489] * vX_[126] + vX_[6606] * vX_[1];
+ vX_[3473] = vX_[3489] * vX_[139] + vX_[6606] * vX_[126];
+ vX_[7189] = vX_[7185] * 0.1104774 + vX_[7187] * -0.0004405 + vX_[7189] * 0.025941;
+ vX_[3502] = (0 - vX_[7174]) * 8.81e-05;
+ vX_[6705] = vX_[3502] + vX_[6705];
+ vX_[7193] = vX_[7174] * -0.0004405 + vX_[7185] * -8.81e-05 + vX_[7193] * 0.000468;
+ vX_[6705] = vX_[5382] * vX_[4062] + vX_[6720] * vX_[4061] + vX_[6726] * vX_[4071] + vX_[7189] * vX_[4070] +
+ vX_[6705] * vX_[4053] + vX_[6705] * vX_[4053] + vX_[7193] * x_in[35];
+ vX_[3502] = vX_[3502] + vX_[6680];
+ vX_[7191] = vX_[7174] * -0.1104774 + vX_[7187] * 8.81e-05 + vX_[7191] * 0.026409;
+ vX_[3502] = vX_[6068] * vX_[4062] + vX_[7800] * vX_[1994] + vX_[7139] * vX_[4071] + vX_[7189] * vX_[4053] +
+ vX_[3502] * vX_[4070] + vX_[3502] * vX_[4070] - vX_[7191] * x_in[35];
+ vX_[7189] = vX_[7176] * 0.47422804 + vX_[7177] * 0.0825825 + vX_[7184] * 0.081641 + (0 - vX_[7173]) * 2.1e-05 +
+ vX_[7182] * -0.000102;
+ vX_[7800] = (0 - vX_[7184]) * -0.007418;
+ vX_[7877] = vX_[7875] + vX_[7800] - vX_[7877];
+ vX_[7875] =
+ vX_[7172] * vX_[69] + vX_[7176] * vX_[85] + vX_[7177] * vX_[74] + vX_[7173] * vX_[117] + vX_[7182] * vX_[113];
+ vX_[7877] = vX_[6058] * -0.35 + vX_[6705] * vX_[7] + vX_[3502] * vX_[51] + vX_[6091] * vX_[4064] +
+ vX_[6784] * vX_[4091] + vX_[6640] * vX_[4082] + vX_[7189] * vX_[4074] + vX_[7877] * vX_[4072] +
+ vX_[7877] * vX_[4072] + vX_[7875] * x_in[34];
+ vX_[7800] = vX_[6722] - vX_[7800] - vX_[6638];
+ vX_[6638] =
+ vX_[7172] * vX_[82] + vX_[7176] * vX_[86] + vX_[7177] * vX_[80] + vX_[7173] * vX_[111] + vX_[7182] * vX_[117];
+ vX_[7800] = vX_[6705] * vX_[52] + vX_[3502] * vX_[7] + vX_[6707] * vX_[4064] + vX_[4493] * vX_[4066] +
+ vX_[6702] * vX_[4082] + vX_[7189] * vX_[4072] + vX_[7800] * vX_[4074] + vX_[7800] * vX_[4074] -
+ vX_[6638] * x_in[34];
+ vX_[3478] = vX_[8063] - vX_[1965] + vX_[3478];
+ vX_[1965] = vX_[7161] * 0.1466472 + vX_[7164] * 0.5824264 + vX_[7171] * -5.1e-05 + (0 - vX_[7167]) * -0.123672 +
+ (0 - vX_[7169]) * -3.6e-05;
+ vX_[8063] = vX_[7167] * -0.022734;
+ vX_[3094] = vX_[7755] - vX_[3094] - vX_[8063];
+ vX_[7755] =
+ vX_[7161] * vX_[96] + vX_[7160] * vX_[563] + vX_[7164] * vX_[515] + vX_[7167] * vX_[513] + vX_[7169] * vX_[565];
+ vX_[3094] = vX_[7877] * vX_[4] + vX_[7800] * vX_[75] + vX_[3478] * vX_[4095] + vX_[3476] * vX_[4096] +
+ vX_[1965] * vX_[4085] + vX_[3101] * vX_[4104] + vX_[3094] * vX_[4092] + vX_[3094] * vX_[4092] -
+ vX_[7755] * x_in[33];
+ vX_[7220] = vX_[7220] * vX_[1986];
+ vX_[7221] = vX_[7221] * vX_[1986];
+ vX_[3101] = vX_[7220] * vX_[7] + vX_[7221] * vX_[51];
+ vX_[7222] = vX_[7222] * vX_[1986];
+ vX_[7192] = vX_[7192] * vX_[1975];
+ vX_[3476] = vX_[7192] * vX_[7];
+ vX_[7189] = vX_[7192] * vX_[51];
+ vX_[7208] = vX_[7208] * vX_[1993];
+ vX_[4493] = vX_[7208] * vX_[51];
+ vX_[7194] = vX_[7194] * vX_[1975];
+ vX_[6702] = vX_[7194] * vX_[7];
+ vX_[6707] = 0 - vX_[6702];
+ vX_[6722] = vX_[7194] * vX_[51];
+ vX_[6784] = 0 - vX_[7189];
+ vX_[6640] = 0 - vX_[7208];
+ vX_[6091] = vX_[6640] * vX_[7];
+ vX_[7209] = vX_[7209] * vX_[1993];
+ vX_[6058] = 0 - vX_[7209];
+ vX_[7139] = vX_[6058] * vX_[51];
+ vX_[6068] = vX_[7209] * vX_[7];
+ vX_[7196] = vX_[7196] * vX_[1983];
+ vX_[7187] = vX_[7220] + vX_[7196];
+ vX_[7197] = vX_[7197] * vX_[1983];
+ vX_[7174] = 0 - vX_[7221] - vX_[7197];
+ vX_[6680] = vX_[7187] * vX_[51] + vX_[7174] * vX_[7];
+ vX_[6720] = vX_[7196] * vX_[7] + vX_[7197] * vX_[51];
+ vX_[7214] = vX_[7214] * vX_[1993] + vX_[7202] * vX_[1975];
+ vX_[7202] = 0 - vX_[7214];
+ vX_[6726] = 0 - vX_[7214];
+ vX_[5382] = vX_[6726] * vX_[7];
+ vX_[7185] = vX_[7214] * vX_[51];
+ vX_[3501] = vX_[7215] * vX_[893] + vX_[7447] * vX_[845] + vX_[7456] * vX_[877];
+ vX_[3470] = 0 - vX_[3501];
+ vX_[6901] = vX_[7215] * vX_[985] + vX_[7447] * vX_[878] + vX_[7456] * vX_[839];
+ vX_[8742] = vX_[3470] * x_in[18] + vX_[6901] * x_in[19];
+ vX_[2417] = 0 - vX_[8742];
+ vX_[3459] = 0 - vX_[8742];
+ vX_[3464] = vX_[3459] * vX_[7];
+ vX_[3458] = vX_[8742] * vX_[51];
+ vX_[7215] = vX_[7215] * vX_[875] + vX_[7447] * vX_[894] + vX_[7456] * vX_[986];
+ jac[1255] = vX_[6768] * vX_[3967] + vX_[6792] * vX_[4066] + vX_[6638] * vX_[3980] + vX_[7875] * vX_[4072] +
+ vX_[7804] + vX_[7215] * vX_[899] + vX_[3501] * vX_[851] + vX_[6901] * vX_[884];
+ jac[1291] = vX_[6644] * vX_[1988] + vX_[6709] * vX_[1994] + vX_[7191] * vX_[988] + vX_[7193] * vX_[4053] +
+ vX_[6609] + vX_[7215] * vX_[908] + vX_[3501] * vX_[862] + vX_[6901] * vX_[881];
+ vX_[7191] = vX_[7215] * x_in[35];
+ vX_[7193] = vX_[7191] * vX_[7];
+ vX_[6644] = vX_[7191] * vX_[51];
+ vX_[6709] = vX_[7215] * x_in[34];
+ vX_[6609] = vX_[6709] * vX_[51];
+ vX_[6638] = vX_[3501] * x_in[33];
+ vX_[7875] = vX_[6709] * vX_[7];
+ vX_[6768] = vX_[6638] * vX_[7];
+ vX_[6792] = vX_[6638] * vX_[51];
+ vX_[7804] = vX_[7226] * vX_[940];
+ vX_[7456] = 0 - vX_[7804];
+ vX_[7447] = 0 - vX_[7804];
+ vX_[3457] = vX_[7447] * vX_[7];
+ vX_[3454] = vX_[7804] * vX_[51];
+ vX_[7900] = 0 - vX_[7900];
+ vX_[3461] = vX_[3473] + vX_[7142];
+ vX_[3460] = 0 - vX_[7135];
+ vX_[1573] = 0 - vX_[7435];
+ vX_[5367] = 0 - vX_[5367] + vX_[2406];
+ vX_[2406] = 0 - vX_[6463];
+ vX_[7186] = vX_[7186] * vX_[1975];
+ vX_[2419] = vX_[7186] * vX_[51];
+ vX_[7188] = vX_[7188] * vX_[1975];
+ vX_[5809] = vX_[7188] * vX_[7];
+ vX_[7190] = vX_[7190] * vX_[1975];
+ vX_[7207] = vX_[7207] * vX_[1993];
+ vX_[7223] = vX_[7223] * vX_[1986];
+ vX_[4002] = vX_[7223] * vX_[7];
+ vX_[3056] = vX_[7223] * vX_[51];
+ vX_[7212] = vX_[7212] * vX_[810];
+ vX_[3057] = vX_[7212] * vX_[51];
+ vX_[7224] = vX_[7224] * vX_[1986];
+ vX_[3059] = vX_[7224] * vX_[7];
+ vX_[3041] = 0 - vX_[3059];
+ vX_[3042] = vX_[7224] * vX_[51];
+ vX_[7749] = 0 - vX_[7186] - vX_[7212];
+ vX_[7213] = vX_[7213] * vX_[810];
+ vX_[3044] = 0 - vX_[7188] - vX_[7213];
+ vX_[7787] = vX_[7749] * vX_[7] + vX_[3044] * vX_[51];
+ vX_[3046] = vX_[7213] * vX_[7];
+ vX_[7210] = vX_[7210] * vX_[1993] + vX_[7201] * vX_[1986];
+ vX_[7201] = vX_[7210] * vX_[7];
+ vX_[7757] = vX_[7210] * vX_[51];
+ vX_[2768] = 0 - vX_[6901];
+ vX_[3047] = vX_[7215] * x_in[18] + vX_[2768] * x_in[20];
+ vX_[7311] = vX_[3047] * vX_[7];
+ vX_[287] = vX_[3047] * vX_[51];
+ vX_[2623] = vX_[7215] * x_in[33];
+ vX_[8281] = vX_[3501] * x_in[35];
+ vX_[2808] = 0 - vX_[8281];
+ vX_[7769] = vX_[2808] * vX_[7];
+ vX_[7782] = vX_[8281] * vX_[51];
+ vX_[7094] = vX_[3501] * x_in[34];
+ vX_[7321] = 0 - vX_[7094];
+ vX_[3643] = vX_[2623] * vX_[7];
+ vX_[2674] = 0 - vX_[7094];
+ vX_[8191] = vX_[2674] * vX_[7];
+ vX_[2643] = vX_[2623] * vX_[51];
+ vX_[2667] = vX_[7094] * vX_[51];
+ vX_[3038] = vX_[7226] * vX_[929];
+ vX_[3039] = vX_[3038] * vX_[7];
+ vX_[3073] = vX_[3038] * vX_[51];
+ jac[571] =
+ 0 -
+ (vX_[7141] * vX_[776] + vX_[7128] * vX_[957] + vX_[3891] * vX_[699] + vX_[6606] * vX_[701] +
+ vX_[7137] * vX_[142] + vX_[7142] * vX_[389] + vX_[6659] * vX_[125] + vX_[6619] * vX_[674] +
+ vX_[5350] * vX_[150] + vX_[6600] * vX_[643] + vX_[7129] * vX_[642] + vX_[7138] * vX_[639] +
+ vX_[7147] * vX_[159] + vX_[7136] * vX_[573] + vX_[6602] * vX_[575] + vX_[5359] * vX_[623] +
+ vX_[7132] * vX_[519] + vX_[5392] * vX_[570] + vX_[3507] * x_in[22] + vX_[3445] * x_in[19] +
+ (vX_[7133] * vX_[776] + vX_[6510] * vX_[139] + vX_[3507] * x_in[20]) * -0.3735 -
+ (vX_[7143] * vX_[4079] + vX_[6748] * x_in[23]) + (vX_[7128] * vX_[4079] + vX_[6748] * x_in[19]) * -0.3735 +
+ (vX_[7159] * vX_[4079] + vX_[3505] * vX_[517] + vX_[6463] * vX_[569] + vX_[7153] * vX_[152] +
+ vX_[3494] * vX_[154] + vX_[7135] * vX_[125] + vX_[7435] * vX_[134] + vX_[6724] * vX_[137] +
+ vX_[3490] * vX_[153] + vX_[6273] * vX_[142] + vX_[5363] * vX_[515] + vX_[6463] * vX_[566] +
+ vX_[3475] * vX_[96] + vX_[3477] * vX_[522] + vX_[6748] * x_in[18]) *
+ 0.207 -
+ (vX_[7133] * vX_[951] + vX_[3489] * vX_[698] + vX_[7928] * vX_[684] + vX_[7140] * vX_[125] +
+ vX_[3473] * vX_[271] + vX_[7149] * vX_[640] + vX_[5353] * vX_[160] + vX_[6604] * vX_[675] +
+ vX_[6671] * vX_[641] + vX_[7134] * vX_[568] + vX_[7146] * vX_[149] + vX_[3506] * vX_[572] +
+ vX_[6987] * vX_[622] + vX_[3481] * vX_[570] + vX_[3480] * vX_[523] + vX_[6510] * vX_[140] +
+ vX_[3094] * x_in[20]) +
+ vX_[7175] * vX_[1975] + vX_[7211] * vX_[810] + vX_[3101] * vX_[9] + (0 - vX_[7222]) * 0.3735 +
+ vX_[7222] * vX_[9] * -0.35 + vX_[3476] * 0.35 + vX_[3476] * vX_[75] * 0.08 + vX_[3476] * vX_[9] * 0.3735 +
+ vX_[7189] * vX_[75] * 0.3735 + vX_[4493] * vX_[75] * -0.207 + vX_[6707] * vX_[75] * 0.3735 +
+ vX_[6722] * 0.35 + (vX_[6784] * vX_[9] + vX_[6722] * vX_[75]) * 0.08 + vX_[6722] * vX_[9] * 0.3735 +
+ (vX_[6091] * vX_[9] + vX_[7139] * vX_[9]) * 0.207 + vX_[6068] * vX_[75] * 0.207 + vX_[6680] * vX_[75] +
+ vX_[6720] * vX_[9] + (vX_[6702] * vX_[9] - vX_[7214]) * 0.08 + vX_[7202] * vX_[75] * 0.35 +
+ vX_[5382] * vX_[75] * 0.33 + vX_[7185] * vX_[9] * 0.33 + (0 - vX_[8742]) * 0.08 +
+ vX_[2417] * vX_[75] * 0.35 + vX_[3464] * vX_[75] * 0.33 + vX_[3458] * vX_[9] * 0.33 +
+ vX_[7193] * vX_[9] * 0.33 + vX_[6644] * vX_[75] * 0.33 + vX_[6709] * vX_[9] * 0.35 +
+ vX_[6609] * vX_[75] * 0.33 + vX_[6638] * 0.08 + vX_[6638] * vX_[75] * 0.35 +
+ (vX_[7875] * vX_[9] + vX_[6768] * vX_[75]) * 0.33 + vX_[6792] * vX_[9] * -0.33 + (0 - vX_[7804]) * 0.08 +
+ vX_[7456] * vX_[75] * 0.35 + vX_[3457] * vX_[75] * 0.33 + vX_[3454] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[7143] * vX_[776] + vX_[7141] * vX_[4079] + vX_[7133] * vX_[957] + vX_[7128] * vX_[951] +
+ vX_[3489] * vX_[701] + vX_[3891] * vX_[697] + vX_[6606] * vX_[698] + vX_[7928] * vX_[142] +
+ vX_[7900] * vX_[684] + vX_[7140] * vX_[389] + vX_[3461] * vX_[125] + vX_[6659] * vX_[271] +
+ vX_[6619] * vX_[675] + vX_[7149] * vX_[643] + vX_[5353] * vX_[150] + vX_[5350] * vX_[160] +
+ vX_[6604] * vX_[674] + vX_[6600] * vX_[640] + vX_[6671] * vX_[642] + vX_[7134] * vX_[639] +
+ vX_[7129] * vX_[641] + vX_[7138] * vX_[568] + vX_[7146] * vX_[159] + vX_[7147] * vX_[149] +
+ vX_[3506] * vX_[575] + vX_[7136] * vX_[571] + vX_[6602] * vX_[572] + vX_[6987] * vX_[623] +
+ vX_[5361] * vX_[622] + vX_[3481] * vX_[519] + vX_[3486] * vX_[570] + vX_[5392] * vX_[523] +
+ vX_[6510] * vX_[138] +
+ (vX_[7112] * vX_[567] + vX_[3682] * vX_[105] + vX_[3487] * vX_[154] + vX_[5371] * vX_[129] +
+ vX_[6513] * vX_[143] + vX_[3460] * vX_[128] + vX_[6505] * vX_[137] + vX_[1573] * vX_[125] +
+ vX_[3493] * vX_[142] + vX_[5367] * vX_[153] + vX_[7112] * vX_[563] + vX_[2406] * vX_[514] +
+ vX_[3487] * vX_[158] + vX_[6513] * vX_[511]) *
+ 0.207 +
+ vX_[3507] * x_in[23] + vX_[6748] * x_in[22] + vX_[3445] * x_in[20] + vX_[3094] * x_in[19] +
+ (vX_[7128] * vX_[776] + vX_[6510] * vX_[126] + vX_[3507] * x_in[19]) * 0.3735 +
+ (vX_[7159] * vX_[776] + vX_[3507] * x_in[18]) * -0.207 +
+ (vX_[7133] * vX_[4079] + vX_[6748] * x_in[20]) * -0.3735 + vX_[7219] * vX_[1986] + vX_[7195] * vX_[1983] -
+ vX_[2419] * vX_[75] + vX_[5809] * vX_[75] + vX_[7190] * 0.3735 + vX_[7190] * vX_[9] * 0.35 +
+ (0 - vX_[7207]) * 0.207 + vX_[4002] * 0.35 + vX_[4002] * vX_[75] * 0.08 + vX_[4002] * vX_[9] * 0.3735 +
+ vX_[3056] * vX_[75] * 0.3735 + (0 - vX_[3056] * vX_[9]) * 0.08 - vX_[3057] * vX_[75] +
+ vX_[3041] * vX_[75] * 0.3735 + vX_[3059] * vX_[9] * 0.08 + vX_[3042] * 0.35 + vX_[3042] * vX_[75] * 0.08 +
+ vX_[3042] * vX_[9] * 0.3735 + vX_[7787] * vX_[9] + vX_[3046] * vX_[75] + vX_[7210] * 0.08 +
+ vX_[7210] * vX_[75] * 0.35 + vX_[7201] * vX_[75] * 0.33 + vX_[7757] * vX_[9] * -0.33 + vX_[3047] * 0.08 +
+ vX_[3047] * vX_[75] * 0.35 + vX_[7311] * vX_[75] * 0.33 + vX_[287] * vX_[9] * -0.33 + vX_[2623] * 0.08 +
+ vX_[2623] * vX_[75] * 0.35 + vX_[7769] * vX_[9] * 0.33 + vX_[7782] * vX_[75] * -0.33 +
+ vX_[7321] * vX_[9] * 0.35 + (vX_[3643] * vX_[75] + vX_[8191] * vX_[9]) * 0.33 +
+ (vX_[2643] * vX_[9] + vX_[2667] * vX_[75]) * -0.33 + vX_[3038] * 0.08 + vX_[3038] * vX_[75] * 0.35 +
+ vX_[3039] * vX_[75] * 0.33 + vX_[3073] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[3489] = vX_[7144] - vX_[7575];
+ vX_[5327] = vX_[7569] + vX_[5327];
+ vX_[6647] = vX_[7564] + vX_[6647];
+ vX_[7564] = 0 - vX_[6647];
+ vX_[7569] = vX_[3489] * vX_[1];
+ vX_[5371] = vX_[3489] * vX_[126];
+ vX_[5340] = vX_[7566] + vX_[5340];
+ vX_[2868] = vX_[2869] + vX_[2868];
+ vX_[5338] = vX_[7565] + vX_[5338];
+ vX_[7576] = vX_[7556] + vX_[7576];
+ vX_[7556] = vX_[7576] * vX_[126] + vX_[5338] * vX_[1];
+ vX_[7565] = vX_[7576] * vX_[139] + vX_[5338] * vX_[126];
+ vX_[2878] = vX_[2910] + vX_[2878];
+ vX_[7574] = 0 - (vX_[7563] + vX_[7574]) + vX_[2878];
+ vX_[7563] = vX_[2889] - vX_[7580];
+ vX_[5323] = vX_[7559] + vX_[5323];
+ vX_[2848] = vX_[2855] + vX_[2848];
+ vX_[2855] = 0 - vX_[2848];
+ vX_[7559] = vX_[7563] * vX_[1];
+ vX_[2910] = vX_[7563] * vX_[126];
+ vX_[2869] = vX_[7614] * 0.881 + (0 - vX_[7616]) * -0.0004405 + vX_[7618] * 8.81e-05;
+ vX_[7566] = vX_[7612] * -0.881;
+ vX_[7153] = vX_[7616] * 0.1104774;
+ vX_[6510] = vX_[7620] * 8.81e-05;
+ vX_[3682] = vX_[7566] - vX_[7153] + vX_[6510];
+ vX_[6671] = vX_[2869] * vX_[4053] + vX_[3682] * vX_[4070];
+ vX_[3505] = vX_[7604] * 3.146 + (0 - vX_[7611]) * 0.0825825;
+ vX_[5361] = vX_[7603] * -3.146;
+ vX_[6987] = vX_[7611] * 0.47422804;
+ vX_[7134] = vX_[5361] - vX_[6987];
+ vX_[6604] = vX_[6671] + vX_[3505] * vX_[4072] + vX_[7134] * vX_[4074];
+ vX_[3494] = vX_[7591] * 3.44 + vX_[7594] * 0.5824264;
+ vX_[7146] = 0 - vX_[3494];
+ vX_[3486] = vX_[7588] * 3.44 + (0 - vX_[7594]) * 0.1466472;
+ vX_[3480] = vX_[7588] * vX_[142] + vX_[7587] * vX_[125] + vX_[7591] * vX_[134] + vX_[7594] * vX_[515] +
+ vX_[7596] * vX_[566];
+ vX_[3481] = vX_[6604] + vX_[7146] * vX_[4085] + vX_[3486] * vX_[4092] + vX_[3480] * x_in[33];
+ vX_[3506] = 0 - vX_[2869];
+ vX_[6510] = 0 - vX_[7566] + vX_[7153] - vX_[6510];
+ vX_[7153] = vX_[7601] * -0.0004405 + vX_[7612] * 8.81e-05 + vX_[7620] * -0.000227999999999999;
+ vX_[7566] = vX_[7601] * 0.1104774 + vX_[7614] * 8.81e-05 + (0 - vX_[7618]) * 0.025713;
+ vX_[5392] = (0 - vX_[7612]) * -0.0004405;
+ vX_[7132] = (0 - vX_[7614]) * 0.1104774;
+ vX_[5359] = vX_[5392] + vX_[7132];
+ vX_[5359] = vX_[3506] * vX_[1994] + vX_[6510] * vX_[4061] + vX_[7153] * vX_[4053] + vX_[7566] * vX_[4070] +
+ vX_[5359] * vX_[4071] + vX_[5359] * vX_[4071];
+ vX_[6602] = vX_[7601] * 0.881 + (0 - vX_[7618]) * 0.1104774 + vX_[7620] * -0.0004405;
+ vX_[7136] = vX_[7612] * -0.00185880198235362 + vX_[7614] * 0.880992588508842 + vX_[7618] * 8.81e-05;
+ vX_[3506] = vX_[3506] * vX_[4071] + vX_[6602] * vX_[4070] + vX_[7136] * x_in[35];
+ vX_[7147] = 0 - vX_[6602];
+ vX_[5353] = vX_[7612] * 0.414812462825713 + vX_[7614] * -0.00185880198235362 + vX_[7620] * -8.81e-05;
+ vX_[6510] = vX_[6510] * vX_[4071] + vX_[7147] * vX_[4053] - vX_[5353] * x_in[35];
+ vX_[7138] = 0 - vX_[3505];
+ vX_[6987] = 0 - vX_[5361] + vX_[6987];
+ vX_[5361] = vX_[7599] * 0.0825825 + (0 - vX_[7611]) * -0.000102 + vX_[7600] * -0.007418 + vX_[7609] * 0.002735;
+ vX_[7129] = vX_[7599] * 0.47422804 + vX_[7611] * 2.1e-05 + (0 - vX_[7600]) * 0.084376 + (0 - vX_[7609]) * -0.007418;
+ vX_[7149] = (0 - vX_[7603]) * 0.0825825;
+ vX_[6600] = (0 - vX_[7604]) * 0.47422804;
+ vX_[5350] = vX_[7600] * -0.000102;
+ vX_[6619] = (0 - vX_[7609]) * 2.1e-05;
+ vX_[6606] = vX_[7149] + vX_[6600] + vX_[5350] + vX_[6619];
+ vX_[6606] = vX_[5359] + vX_[3506] * vX_[764] + vX_[6510] * vX_[54] + vX_[7138] * vX_[4066] + vX_[6987] * vX_[4091] +
+ vX_[5361] * vX_[4072] + vX_[7129] * vX_[4074] + vX_[6606] * vX_[4082] + vX_[6606] * vX_[4082];
+ vX_[3891] = vX_[7599] * 3.146 + (0 - vX_[7600]) * 0.47422804 + vX_[7609] * 0.0825825;
+ vX_[7219] = vX_[7603] * vX_[102] + vX_[7604] * vX_[101] + vX_[7600] * vX_[80] + vX_[7609] * vX_[74];
+ vX_[7138] =
+ vX_[3506] * vX_[7] + vX_[6510] * vX_[51] + vX_[7138] * vX_[4082] + vX_[3891] * vX_[4074] + vX_[7219] * x_in[34];
+ vX_[7211] = 0 - vX_[3891];
+ vX_[7195] = vX_[7603] * vX_[100] + vX_[7604] * vX_[102] + vX_[7600] * vX_[86] + vX_[7609] * vX_[85];
+ vX_[6987] = vX_[3506] * vX_[756] + vX_[6510] * vX_[7] + vX_[6987] * vX_[4082] + vX_[7211] * vX_[4072] -
+ vX_[7195] * x_in[34];
+ vX_[7175] = 0 - vX_[3486];
+ vX_[3100] = vX_[7587] * 0.5824264 + (0 - vX_[7598]) * -0.022734 + vX_[7594] * -3.6e-05 + vX_[7596] * -0.133138;
+ vX_[3075] = vX_[7587] * 0.1466472 + vX_[7598] * 0.009466 + (0 - vX_[7594]) * -5.1e-05 + vX_[7596] * -0.022734;
+ vX_[3074] = (0 - vX_[7588]) * 0.5824264;
+ vX_[3080] = (0 - vX_[7591]) * 0.1466472;
+ vX_[3081] = (0 - vX_[7598]) * -3.6e-05;
+ vX_[6850] = (0 - vX_[7596]) * -5.1e-05;
+ vX_[6275] = vX_[3074] + vX_[3080] + vX_[3081] - vX_[6850];
+ vX_[5530] = vX_[7588] * vX_[158] + vX_[7587] * vX_[514] + vX_[7591] * vX_[566] + vX_[7594] * vX_[565] +
+ vX_[7596] * vX_[122];
+ vX_[6275] = vX_[6606] + vX_[7138] * vX_[752] + vX_[6987] * vX_[93] + vX_[3494] * vX_[4095] + vX_[7175] * vX_[3880] +
+ vX_[3100] * vX_[4085] + vX_[3075] * vX_[4092] + vX_[6275] * vX_[4104] + vX_[6275] * vX_[4104] +
+ vX_[5530] * x_in[33];
+ vX_[7325] = vX_[7151] - vX_[7580];
+ vX_[7318] = vX_[7325] * vX_[126] + vX_[5323] * vX_[1];
+ vX_[7322] = vX_[7325] * vX_[139] + vX_[5323] * vX_[126];
+ vX_[7330] = vX_[7322] + vX_[7559];
+ vX_[3331] = vX_[7318] * vX_[139] + vX_[7330] * vX_[126] + vX_[2910] * vX_[1];
+ vX_[3085] = 0 - vX_[3331];
+ vX_[3088] = vX_[7580] + vX_[7318] * vX_[126] + vX_[7559] * vX_[1];
+ vX_[7366] = 0 - vX_[3088];
+ vX_[7338] = vX_[7580] + vX_[7322] * vX_[139] + vX_[2910] * vX_[126];
+ vX_[7573] = vX_[7562] + vX_[7573] - vX_[2868];
+ vX_[7562] = vX_[2878] * vX_[126] + vX_[2868] * vX_[1];
+ vX_[3099] = 0 - (vX_[7573] * vX_[139] + vX_[7574] * vX_[126]) + vX_[7562];
+ vX_[3087] = vX_[3099] + vX_[3088] * vX_[127];
+ vX_[3098] = 0 - vX_[3087];
+ vX_[7343] = vX_[2878] * vX_[139] + vX_[2868] * vX_[126];
+ vX_[3061] = vX_[7573] * vX_[126] + vX_[7574] * vX_[1] + vX_[7343];
+ vX_[7337] = 0 - vX_[7338];
+ vX_[3276] = vX_[3061] + vX_[3331] * vX_[127] + vX_[7337] * vX_[27];
+ vX_[5342] = vX_[7561] + vX_[5342];
+ vX_[7561] = vX_[5340] * vX_[126] + vX_[5342] * vX_[139];
+ vX_[602] = vX_[7561] * vX_[126] + vX_[7565] * vX_[1];
+ vX_[7414] = vX_[7540] + vX_[7414];
+ vX_[2848] = 0 - vX_[2848];
+ vX_[7540] = vX_[7414] * vX_[139] + vX_[2848] * vX_[126];
+ vX_[7745] = 0 - vX_[7540];
+ vX_[7753] = vX_[602] + vX_[7745] * vX_[27] + vX_[7366] * vX_[141];
+ vX_[3066] = 0 - vX_[7753];
+ vX_[7495] = vX_[5340] * vX_[1] + vX_[5342] * vX_[126];
+ vX_[7334] = vX_[7495] * vX_[139] + vX_[7556] * vX_[126];
+ vX_[3060] = vX_[7414] * vX_[126] + vX_[2855] * vX_[1];
+ vX_[3089] = 0 - vX_[3060];
+ vX_[8179] = vX_[7334] + vX_[3089] * vX_[127] + vX_[7338] * vX_[141];
+ vX_[3072] = vX_[7495] * vX_[126] + vX_[7556] * vX_[1];
+ vX_[1677] = vX_[3072] + vX_[7540] * vX_[127];
+ vX_[7746] = vX_[7561] * vX_[139] + vX_[7565] * vX_[126];
+ vX_[3084] = vX_[7746] + vX_[3060] * vX_[27] + vX_[3085] * vX_[141];
+ vX_[3069] = 0 - vX_[1677] + vX_[3084];
+ vX_[3071] = 0 - vX_[3331];
+ vX_[3083] = 0 - vX_[3088];
+ vX_[7366] = vX_[3085] * vX_[569] + vX_[7366] * vX_[517] + vX_[7338] * vX_[105] + vX_[3098] * vX_[142] +
+ vX_[3276] * vX_[153] + vX_[3066] * vX_[134] + vX_[8179] * vX_[128] + vX_[3069] * vX_[125] +
+ vX_[3071] * vX_[566] + vX_[3331] * vX_[563] + vX_[3083] * vX_[516] + vX_[7338] * vX_[520];
+ vX_[3085] = vX_[7587] * -3.44;
+ vX_[3067] = vX_[7598] * 0.1466472;
+ vX_[3096] = vX_[7596] * 0.5824264;
+ vX_[3095] = 0 - vX_[3085] + vX_[3067] - vX_[3096];
+ vX_[3064] = vX_[7588] * vX_[153] + vX_[7587] * vX_[128] + vX_[7591] * vX_[125] + vX_[7594] * vX_[563] +
+ vX_[7596] * vX_[514];
+ vX_[7175] = vX_[7138] * vX_[751] + vX_[6987] * vX_[75] + vX_[3095] * vX_[4085] + vX_[7175] * vX_[4104] -
+ vX_[3064] * x_in[33];
+ vX_[7580] = vX_[7151] + vX_[2889] + vX_[7580] - vX_[3088] - vX_[7338];
+ vX_[2889] = 0 - vX_[7580];
+ vX_[7562] = vX_[7562] + vX_[2889] * vX_[127];
+ vX_[7343] = vX_[7343] + vX_[7580] * vX_[27];
+ vX_[7151] = 0 - vX_[3276];
+ vX_[7345] = 0 - vX_[8179];
+ vX_[2851] = vX_[2859] + vX_[2851] + vX_[5342] + vX_[5338] - vX_[3072] - vX_[7746];
+ vX_[3084] = vX_[2851] - vX_[3084];
+ vX_[2859] = 0 - vX_[7540];
+ vX_[7752] = 0 - vX_[3331];
+ vX_[7754] = 0 - vX_[7338];
+ vX_[3053] = vX_[5329] - vX_[7575];
+ vX_[6665] = vX_[7567] + vX_[6665];
+ vX_[7567] = vX_[3053] * vX_[126] + vX_[5327] * vX_[1];
+ vX_[3058] = vX_[3053] * vX_[139] + vX_[5327] * vX_[126];
+ vX_[7616] = vX_[7612] * 0.1104774 + vX_[7614] * -0.0004405 + vX_[7616] * 0.025941;
+ vX_[3052] = (0 - vX_[7601]) * 8.81e-05;
+ vX_[7132] = vX_[3052] + vX_[7132];
+ vX_[7620] = vX_[7601] * -0.0004405 + vX_[7612] * -8.81e-05 + vX_[7620] * 0.000468;
+ vX_[7132] = vX_[2869] * vX_[4062] + vX_[7147] * vX_[4061] + vX_[7153] * vX_[4071] + vX_[7616] * vX_[4070] +
+ vX_[7132] * vX_[4053] + vX_[7132] * vX_[4053] + vX_[7620] * x_in[35];
+ vX_[3052] = vX_[3052] + vX_[5392];
+ vX_[7618] = vX_[7601] * -0.1104774 + vX_[7614] * 8.81e-05 + vX_[7618] * 0.026409;
+ vX_[3052] = vX_[3682] * vX_[4062] + vX_[6602] * vX_[1994] + vX_[7566] * vX_[4071] + vX_[7616] * vX_[4053] +
+ vX_[3052] * vX_[4070] + vX_[3052] * vX_[4070] - vX_[7618] * x_in[35];
+ vX_[7616] = vX_[7603] * 0.47422804 + vX_[7604] * 0.0825825 + vX_[7611] * 0.081641 + (0 - vX_[7600]) * 2.1e-05 +
+ vX_[7609] * -0.000102;
+ vX_[6602] = (0 - vX_[7611]) * -0.007418;
+ vX_[6619] = vX_[6600] + vX_[6602] - vX_[6619];
+ vX_[6600] =
+ vX_[7599] * vX_[69] + vX_[7603] * vX_[85] + vX_[7604] * vX_[74] + vX_[7600] * vX_[117] + vX_[7609] * vX_[113];
+ vX_[6619] = vX_[6671] * -0.35 + vX_[7132] * vX_[7] + vX_[3052] * vX_[51] + vX_[3505] * vX_[4064] +
+ vX_[7211] * vX_[4091] + vX_[5361] * vX_[4082] + vX_[7616] * vX_[4074] + vX_[6619] * vX_[4072] +
+ vX_[6619] * vX_[4072] + vX_[6600] * x_in[34];
+ vX_[6602] = vX_[7149] - vX_[6602] - vX_[5350];
+ vX_[5350] =
+ vX_[7599] * vX_[82] + vX_[7603] * vX_[86] + vX_[7604] * vX_[80] + vX_[7600] * vX_[111] + vX_[7609] * vX_[117];
+ vX_[6602] = vX_[7132] * vX_[52] + vX_[3052] * vX_[7] + vX_[7134] * vX_[4064] + vX_[3891] * vX_[4066] +
+ vX_[7129] * vX_[4082] + vX_[7616] * vX_[4072] + vX_[6602] * vX_[4074] + vX_[6602] * vX_[4074] -
+ vX_[5350] * x_in[34];
+ vX_[3096] = vX_[3085] - vX_[3067] + vX_[3096];
+ vX_[3067] = vX_[7588] * 0.1466472 + vX_[7591] * 0.5824264 + vX_[7598] * -5.1e-05 + (0 - vX_[7594]) * -0.123672 +
+ (0 - vX_[7596]) * -3.6e-05;
+ vX_[3085] = vX_[7594] * -0.022734;
+ vX_[3081] = vX_[3074] - vX_[3081] - vX_[3085];
+ vX_[3074] =
+ vX_[7588] * vX_[96] + vX_[7587] * vX_[563] + vX_[7591] * vX_[515] + vX_[7594] * vX_[513] + vX_[7596] * vX_[565];
+ vX_[3081] = vX_[6619] * vX_[4] + vX_[6602] * vX_[75] + vX_[3096] * vX_[4095] + vX_[3486] * vX_[4096] +
+ vX_[3067] * vX_[4085] + vX_[3075] * vX_[4104] + vX_[3081] * vX_[4092] + vX_[3081] * vX_[4092] -
+ vX_[3074] * x_in[33];
+ vX_[7647] = vX_[7647] * vX_[1986];
+ vX_[7648] = vX_[7648] * vX_[1986];
+ vX_[3075] = vX_[7647] * vX_[7] + vX_[7648] * vX_[51];
+ vX_[7649] = vX_[7649] * vX_[1986];
+ vX_[7619] = vX_[7619] * vX_[1975];
+ vX_[3486] = vX_[7619] * vX_[7];
+ vX_[7616] = vX_[7619] * vX_[51];
+ vX_[7635] = vX_[7635] * vX_[1993];
+ vX_[3891] = vX_[7635] * vX_[51];
+ vX_[7621] = vX_[7621] * vX_[1975];
+ vX_[7129] = vX_[7621] * vX_[7];
+ vX_[7134] = 0 - vX_[7129];
+ vX_[7149] = vX_[7621] * vX_[51];
+ vX_[7211] = 0 - vX_[7616];
+ vX_[5361] = 0 - vX_[7635];
+ vX_[3505] = vX_[5361] * vX_[7];
+ vX_[7636] = vX_[7636] * vX_[1993];
+ vX_[6671] = 0 - vX_[7636];
+ vX_[7566] = vX_[6671] * vX_[51];
+ vX_[3682] = vX_[7636] * vX_[7];
+ vX_[7623] = vX_[7623] * vX_[1983];
+ vX_[7614] = vX_[7647] + vX_[7623];
+ vX_[7624] = vX_[7624] * vX_[1983];
+ vX_[7601] = 0 - vX_[7648] - vX_[7624];
+ vX_[5392] = vX_[7614] * vX_[51] + vX_[7601] * vX_[7];
+ vX_[7147] = vX_[7623] * vX_[7] + vX_[7624] * vX_[51];
+ vX_[7641] = vX_[7641] * vX_[1993] + vX_[7629] * vX_[1975];
+ vX_[7629] = 0 - vX_[7641];
+ vX_[7153] = 0 - vX_[7641];
+ vX_[2869] = vX_[7153] * vX_[7];
+ vX_[7612] = vX_[7641] * vX_[51];
+ vX_[3051] = vX_[7642] * vX_[893] + vX_[7874] * vX_[845] + vX_[7883] * vX_[877];
+ vX_[3048] = 0 - vX_[3051];
+ vX_[3055] = vX_[7642] * vX_[985] + vX_[7874] * vX_[878] + vX_[7883] * vX_[839];
+ vX_[3054] = vX_[3048] * x_in[18] + vX_[3055] * x_in[19];
+ vX_[9097] = 0 - vX_[3054];
+ vX_[7794] = 0 - vX_[3054];
+ vX_[7759] = vX_[7794] * vX_[7];
+ vX_[1750] = vX_[3054] * vX_[51];
+ vX_[7642] = vX_[7642] * vX_[875] + vX_[7874] * vX_[894] + vX_[7883] * vX_[986];
+ jac[1256] = vX_[7195] * vX_[3967] + vX_[7219] * vX_[4066] + vX_[5350] * vX_[3980] + vX_[6600] * vX_[4072] +
+ vX_[6606] + vX_[7642] * vX_[899] + vX_[3051] * vX_[851] + vX_[3055] * vX_[884];
+ jac[1292] = vX_[5353] * vX_[1988] + vX_[7136] * vX_[1994] + vX_[7618] * vX_[988] + vX_[7620] * vX_[4053] +
+ vX_[5359] + vX_[7642] * vX_[908] + vX_[3051] * vX_[862] + vX_[3055] * vX_[881];
+ vX_[7618] = vX_[7642] * x_in[35];
+ vX_[7620] = vX_[7618] * vX_[7];
+ vX_[5353] = vX_[7618] * vX_[51];
+ vX_[7136] = vX_[7642] * x_in[34];
+ vX_[5359] = vX_[7136] * vX_[51];
+ vX_[5350] = vX_[3051] * x_in[33];
+ vX_[6600] = vX_[7136] * vX_[7];
+ vX_[7195] = vX_[5350] * vX_[7];
+ vX_[7219] = vX_[5350] * vX_[51];
+ vX_[6606] = vX_[7653] * vX_[940];
+ vX_[7883] = 0 - vX_[6606];
+ vX_[7874] = 0 - vX_[6606];
+ vX_[2629] = vX_[7874] * vX_[7];
+ vX_[2630] = vX_[6606] * vX_[51];
+ vX_[6647] = 0 - vX_[6647];
+ vX_[2632] = vX_[3058] + vX_[7569];
+ vX_[2614] = 0 - vX_[7562];
+ vX_[2615] = 0 - vX_[7343];
+ vX_[2851] = 0 - vX_[2851] + vX_[1677];
+ vX_[1677] = 0 - vX_[3060];
+ vX_[7613] = vX_[7613] * vX_[1975];
+ vX_[8198] = vX_[7613] * vX_[51];
+ vX_[7615] = vX_[7615] * vX_[1975];
+ vX_[2617] = vX_[7615] * vX_[7];
+ vX_[7617] = vX_[7617] * vX_[1975];
+ vX_[7634] = vX_[7634] * vX_[1993];
+ vX_[7650] = vX_[7650] * vX_[1986];
+ vX_[8157] = vX_[7650] * vX_[7];
+ vX_[2619] = vX_[7650] * vX_[51];
+ vX_[7639] = vX_[7639] * vX_[810];
+ vX_[8192] = vX_[7639] * vX_[51];
+ vX_[7651] = vX_[7651] * vX_[1986];
+ vX_[470] = vX_[7651] * vX_[7];
+ vX_[2620] = 0 - vX_[470];
+ vX_[9305] = vX_[7651] * vX_[51];
+ vX_[538] = 0 - vX_[7613] - vX_[7639];
+ vX_[7640] = vX_[7640] * vX_[810];
+ vX_[2223] = 0 - vX_[7615] - vX_[7640];
+ vX_[1739] = vX_[538] * vX_[7] + vX_[2223] * vX_[51];
+ vX_[3411] = vX_[7640] * vX_[7];
+ vX_[7637] = vX_[7637] * vX_[1993] + vX_[7628] * vX_[1986];
+ vX_[7628] = vX_[7637] * vX_[7];
+ vX_[8158] = vX_[7637] * vX_[51];
+ vX_[9182] = 0 - vX_[3055];
+ vX_[1723] = vX_[7642] * x_in[18] + vX_[9182] * x_in[20];
+ vX_[489] = vX_[1723] * vX_[7];
+ vX_[8213] = vX_[1723] * vX_[51];
+ vX_[2274] = vX_[7642] * x_in[33];
+ vX_[340] = vX_[3051] * x_in[35];
+ vX_[2243] = 0 - vX_[340];
+ vX_[2267] = vX_[2243] * vX_[7];
+ vX_[2611] = vX_[340] * vX_[51];
+ vX_[2612] = vX_[3051] * x_in[34];
+ vX_[2646] = 0 - vX_[2612];
+ vX_[2673] = vX_[2274] * vX_[7];
+ vX_[2648] = 0 - vX_[2612];
+ vX_[2647] = vX_[2648] * vX_[7];
+ vX_[2653] = vX_[2274] * vX_[51];
+ vX_[2654] = vX_[2612] * vX_[51];
+ vX_[7797] = vX_[7653] * vX_[929];
+ vX_[1787] = vX_[7797] * vX_[7];
+ vX_[1785] = vX_[7797] * vX_[51];
+ jac[572] =
+ 0 -
+ (vX_[7568] * vX_[776] + vX_[7555] * vX_[957] + vX_[3489] * vX_[699] + vX_[5327] * vX_[701] +
+ vX_[7564] * vX_[142] + vX_[7569] * vX_[389] + vX_[5371] * vX_[125] + vX_[5340] * vX_[674] +
+ vX_[2868] * vX_[150] + vX_[5338] * vX_[643] + vX_[7556] * vX_[642] + vX_[7565] * vX_[639] +
+ vX_[7574] * vX_[159] + vX_[7563] * vX_[573] + vX_[5323] * vX_[575] + vX_[2855] * vX_[623] +
+ vX_[7559] * vX_[519] + vX_[2910] * vX_[570] + vX_[3481] * x_in[22] + vX_[6275] * x_in[19] +
+ (vX_[7560] * vX_[776] + vX_[7366] * vX_[139] + vX_[3481] * x_in[20]) * -0.3735 -
+ (vX_[7570] * vX_[4079] + vX_[7175] * x_in[23]) + (vX_[7555] * vX_[4079] + vX_[7175] * x_in[19]) * -0.3735 +
+ (vX_[7586] * vX_[4079] + vX_[7745] * vX_[517] + vX_[3060] * vX_[569] + vX_[7580] * vX_[152] +
+ vX_[7337] * vX_[154] + vX_[7562] * vX_[125] + vX_[7343] * vX_[134] + vX_[7151] * vX_[137] +
+ vX_[7345] * vX_[153] + vX_[3084] * vX_[142] + vX_[2859] * vX_[515] + vX_[3060] * vX_[566] +
+ vX_[7752] * vX_[96] + vX_[7754] * vX_[522] + vX_[7175] * x_in[18]) *
+ 0.207 -
+ (vX_[7560] * vX_[951] + vX_[3053] * vX_[698] + vX_[6665] * vX_[684] + vX_[7567] * vX_[125] +
+ vX_[3058] * vX_[271] + vX_[7576] * vX_[640] + vX_[2878] * vX_[160] + vX_[5342] * vX_[675] +
+ vX_[7495] * vX_[641] + vX_[7561] * vX_[568] + vX_[7573] * vX_[149] + vX_[7325] * vX_[572] +
+ vX_[7414] * vX_[622] + vX_[7318] * vX_[570] + vX_[7322] * vX_[523] + vX_[7366] * vX_[140] +
+ vX_[3081] * x_in[20]) +
+ vX_[7602] * vX_[1975] + vX_[7638] * vX_[810] + vX_[3075] * vX_[9] + (0 - vX_[7649]) * 0.3735 +
+ vX_[7649] * vX_[9] * -0.35 + vX_[3486] * 0.35 + vX_[3486] * vX_[75] * 0.08 + vX_[3486] * vX_[9] * 0.3735 +
+ vX_[7616] * vX_[75] * 0.3735 + vX_[3891] * vX_[75] * -0.207 + vX_[7134] * vX_[75] * 0.3735 +
+ vX_[7149] * 0.35 + (vX_[7211] * vX_[9] + vX_[7149] * vX_[75]) * 0.08 + vX_[7149] * vX_[9] * 0.3735 +
+ (vX_[3505] * vX_[9] + vX_[7566] * vX_[9]) * 0.207 + vX_[3682] * vX_[75] * 0.207 + vX_[5392] * vX_[75] +
+ vX_[7147] * vX_[9] + (vX_[7129] * vX_[9] - vX_[7641]) * 0.08 + vX_[7629] * vX_[75] * 0.35 +
+ vX_[2869] * vX_[75] * 0.33 + vX_[7612] * vX_[9] * 0.33 + (0 - vX_[3054]) * 0.08 +
+ vX_[9097] * vX_[75] * 0.35 + vX_[7759] * vX_[75] * 0.33 + vX_[1750] * vX_[9] * 0.33 +
+ vX_[7620] * vX_[9] * 0.33 + vX_[5353] * vX_[75] * 0.33 + vX_[7136] * vX_[9] * 0.35 +
+ vX_[5359] * vX_[75] * 0.33 + vX_[5350] * 0.08 + vX_[5350] * vX_[75] * 0.35 +
+ (vX_[6600] * vX_[9] + vX_[7195] * vX_[75]) * 0.33 + vX_[7219] * vX_[9] * -0.33 + (0 - vX_[6606]) * 0.08 +
+ vX_[7883] * vX_[75] * 0.35 + vX_[2629] * vX_[75] * 0.33 + vX_[2630] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[7570] * vX_[776] + vX_[7568] * vX_[4079] + vX_[7560] * vX_[957] + vX_[7555] * vX_[951] +
+ vX_[3053] * vX_[701] + vX_[3489] * vX_[697] + vX_[5327] * vX_[698] + vX_[6665] * vX_[142] +
+ vX_[6647] * vX_[684] + vX_[7567] * vX_[389] + vX_[2632] * vX_[125] + vX_[5371] * vX_[271] +
+ vX_[5340] * vX_[675] + vX_[7576] * vX_[643] + vX_[2878] * vX_[150] + vX_[2868] * vX_[160] +
+ vX_[5342] * vX_[674] + vX_[5338] * vX_[640] + vX_[7495] * vX_[642] + vX_[7561] * vX_[639] +
+ vX_[7556] * vX_[641] + vX_[7565] * vX_[568] + vX_[7573] * vX_[159] + vX_[7574] * vX_[149] +
+ vX_[7325] * vX_[575] + vX_[7563] * vX_[571] + vX_[5323] * vX_[572] + vX_[7414] * vX_[623] +
+ vX_[2848] * vX_[622] + vX_[7318] * vX_[519] + vX_[7330] * vX_[570] + vX_[2910] * vX_[523] +
+ vX_[7366] * vX_[138] +
+ (vX_[7540] * vX_[567] + vX_[3089] * vX_[105] + vX_[3331] * vX_[154] + vX_[2889] * vX_[129] +
+ vX_[3088] * vX_[143] + vX_[2614] * vX_[128] + vX_[3087] * vX_[137] + vX_[2615] * vX_[125] +
+ vX_[7753] * vX_[142] + vX_[2851] * vX_[153] + vX_[7540] * vX_[563] + vX_[1677] * vX_[514] +
+ vX_[3331] * vX_[158] + vX_[3088] * vX_[511]) *
+ 0.207 +
+ vX_[3481] * x_in[23] + vX_[7175] * x_in[22] + vX_[6275] * x_in[20] + vX_[3081] * x_in[19] +
+ (vX_[7555] * vX_[776] + vX_[7366] * vX_[126] + vX_[3481] * x_in[19]) * 0.3735 +
+ (vX_[7586] * vX_[776] + vX_[3481] * x_in[18]) * -0.207 +
+ (vX_[7560] * vX_[4079] + vX_[7175] * x_in[20]) * -0.3735 + vX_[7646] * vX_[1986] + vX_[7622] * vX_[1983] -
+ vX_[8198] * vX_[75] + vX_[2617] * vX_[75] + vX_[7617] * 0.3735 + vX_[7617] * vX_[9] * 0.35 +
+ (0 - vX_[7634]) * 0.207 + vX_[8157] * 0.35 + vX_[8157] * vX_[75] * 0.08 + vX_[8157] * vX_[9] * 0.3735 +
+ vX_[2619] * vX_[75] * 0.3735 + (0 - vX_[2619] * vX_[9]) * 0.08 - vX_[8192] * vX_[75] +
+ vX_[2620] * vX_[75] * 0.3735 + vX_[470] * vX_[9] * 0.08 + vX_[9305] * 0.35 + vX_[9305] * vX_[75] * 0.08 +
+ vX_[9305] * vX_[9] * 0.3735 + vX_[1739] * vX_[9] + vX_[3411] * vX_[75] + vX_[7637] * 0.08 +
+ vX_[7637] * vX_[75] * 0.35 + vX_[7628] * vX_[75] * 0.33 + vX_[8158] * vX_[9] * -0.33 + vX_[1723] * 0.08 +
+ vX_[1723] * vX_[75] * 0.35 + vX_[489] * vX_[75] * 0.33 + vX_[8213] * vX_[9] * -0.33 + vX_[2274] * 0.08 +
+ vX_[2274] * vX_[75] * 0.35 + vX_[2267] * vX_[9] * 0.33 + vX_[2611] * vX_[75] * -0.33 +
+ vX_[2646] * vX_[9] * 0.35 + (vX_[2673] * vX_[75] + vX_[2647] * vX_[9]) * 0.33 +
+ (vX_[2653] * vX_[9] + vX_[2654] * vX_[75]) * -0.33 + vX_[7797] * 0.08 + vX_[7797] * vX_[75] * 0.35 +
+ vX_[1787] * vX_[75] * 0.33 + vX_[1785] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[3053] = vX_[7571] - vX_[7994];
+ vX_[2840] = vX_[7988] + vX_[2840];
+ vX_[5384] = vX_[7983] + vX_[5384];
+ vX_[7983] = 0 - vX_[5384];
+ vX_[7988] = vX_[3053] * vX_[1];
+ vX_[2889] = vX_[3053] * vX_[126];
+ vX_[2798] = vX_[7985] + vX_[2798];
+ vX_[1992] = vX_[2027] + vX_[1992];
+ vX_[2834] = vX_[7984] + vX_[2834];
+ vX_[7995] = vX_[7975] + vX_[7995];
+ vX_[7975] = vX_[7995] * vX_[126] + vX_[2834] * vX_[1];
+ vX_[7984] = vX_[7995] * vX_[139] + vX_[2834] * vX_[126];
+ vX_[826] = vX_[1039] + vX_[826];
+ vX_[7993] = 0 - (vX_[7982] + vX_[7993]) + vX_[826];
+ vX_[7982] = vX_[1848] - vX_[7999];
+ vX_[2836] = vX_[7978] + vX_[2836];
+ vX_[1966] = vX_[1856] + vX_[1966];
+ vX_[1856] = 0 - vX_[1966];
+ vX_[7978] = vX_[7982] * vX_[1];
+ vX_[1039] = vX_[7982] * vX_[126];
+ vX_[2027] = vX_[8033] * 0.881 + (0 - vX_[8035]) * -0.0004405 + vX_[8037] * 8.81e-05;
+ vX_[7985] = vX_[8031] * -0.881;
+ vX_[7580] = vX_[8035] * 0.1104774;
+ vX_[7366] = vX_[8039] * 8.81e-05;
+ vX_[3089] = vX_[7985] - vX_[7580] + vX_[7366];
+ vX_[7495] = vX_[2027] * vX_[4053] + vX_[3089] * vX_[4070];
+ vX_[7745] = vX_[8023] * 3.146 + (0 - vX_[8030]) * 0.0825825;
+ vX_[2848] = vX_[8022] * -3.146;
+ vX_[7414] = vX_[8030] * 0.47422804;
+ vX_[7561] = vX_[2848] - vX_[7414];
+ vX_[5342] = vX_[7495] + vX_[7745] * vX_[4072] + vX_[7561] * vX_[4074];
+ vX_[7337] = vX_[8010] * 3.44 + vX_[8013] * 0.5824264;
+ vX_[7573] = 0 - vX_[7337];
+ vX_[7330] = vX_[8007] * 3.44 + (0 - vX_[8013]) * 0.1466472;
+ vX_[7322] = vX_[7967] + vX_[8007] * vX_[142] + vX_[8006] * vX_[125] + vX_[8010] * vX_[134] + vX_[8013] * vX_[515] +
+ vX_[8015] * vX_[566];
+ vX_[7318] = vX_[5342] + vX_[7573] * vX_[4085] + vX_[7330] * vX_[4092] + vX_[7322] * x_in[33];
+ vX_[7325] = 0 - vX_[2027];
+ vX_[7366] = 0 - vX_[7985] + vX_[7580] - vX_[7366];
+ vX_[7580] = vX_[8020] * -0.0004405 + vX_[8031] * 8.81e-05 + vX_[8039] * -0.000227999999999999;
+ vX_[7985] = vX_[8020] * 0.1104774 + vX_[8033] * 8.81e-05 + (0 - vX_[8037]) * 0.025713;
+ vX_[2910] = (0 - vX_[8031]) * -0.0004405;
+ vX_[7559] = (0 - vX_[8033]) * 0.1104774;
+ vX_[2855] = vX_[2910] + vX_[7559];
+ vX_[2855] = vX_[7325] * vX_[1994] + vX_[7366] * vX_[4061] + vX_[7580] * vX_[4053] + vX_[7985] * vX_[4070] +
+ vX_[2855] * vX_[4071] + vX_[2855] * vX_[4071];
+ vX_[5323] = vX_[8020] * 0.881 + (0 - vX_[8037]) * 0.1104774 + vX_[8039] * -0.0004405;
+ vX_[7563] = vX_[8031] * -0.00185880198235362 + vX_[8033] * 0.880992588508842 + vX_[8037] * 8.81e-05;
+ vX_[7325] = vX_[7325] * vX_[4071] + vX_[5323] * vX_[4070] + vX_[7563] * x_in[35];
+ vX_[7574] = 0 - vX_[5323];
+ vX_[2878] = vX_[8031] * 0.414812462825713 + vX_[8033] * -0.00185880198235362 + vX_[8039] * -8.81e-05;
+ vX_[7366] = vX_[7366] * vX_[4071] + vX_[7574] * vX_[4053] - vX_[2878] * x_in[35];
+ vX_[7565] = 0 - vX_[7745];
+ vX_[7414] = 0 - vX_[2848] + vX_[7414];
+ vX_[2848] = vX_[8018] * 0.0825825 + (0 - vX_[8030]) * -0.000102 + vX_[8019] * -0.007418 + vX_[8028] * 0.002735;
+ vX_[7556] = vX_[8018] * 0.47422804 + vX_[8030] * 2.1e-05 + (0 - vX_[8019]) * 0.084376 + (0 - vX_[8028]) * -0.007418;
+ vX_[7576] = (0 - vX_[8022]) * 0.0825825;
+ vX_[5338] = (0 - vX_[8023]) * 0.47422804;
+ vX_[2868] = vX_[8019] * -0.000102;
+ vX_[5340] = (0 - vX_[8028]) * 2.1e-05;
+ vX_[5327] = vX_[7576] + vX_[5338] + vX_[2868] + vX_[5340];
+ vX_[5327] = vX_[2855] + vX_[7325] * vX_[764] + vX_[7366] * vX_[54] + vX_[7565] * vX_[4066] + vX_[7414] * vX_[4091] +
+ vX_[2848] * vX_[4072] + vX_[7556] * vX_[4074] + vX_[5327] * vX_[4082] + vX_[5327] * vX_[4082];
+ vX_[3489] = vX_[8018] * 3.146 + (0 - vX_[8019]) * 0.47422804 + vX_[8028] * 0.0825825;
+ vX_[7646] = vX_[8022] * vX_[102] + vX_[8023] * vX_[101] + vX_[8019] * vX_[80] + vX_[8028] * vX_[74];
+ vX_[7565] =
+ vX_[7325] * vX_[7] + vX_[7366] * vX_[51] + vX_[7565] * vX_[4082] + vX_[3489] * vX_[4074] + vX_[7646] * x_in[34];
+ vX_[7638] = 0 - vX_[3489];
+ vX_[7622] = vX_[8022] * vX_[100] + vX_[8023] * vX_[102] + vX_[8019] * vX_[86] + vX_[8028] * vX_[85];
+ vX_[7414] = vX_[7325] * vX_[756] + vX_[7366] * vX_[7] + vX_[7414] * vX_[4082] + vX_[7638] * vX_[4072] -
+ vX_[7622] * x_in[34];
+ vX_[7602] = 0 - vX_[7330];
+ vX_[1727] = vX_[8006] * 0.5824264 + (0 - vX_[8017]) * -0.022734 + vX_[8013] * -3.6e-05 + vX_[8015] * -0.133138;
+ vX_[1702] = vX_[8006] * 0.1466472 + vX_[8017] * 0.009466 + (0 - vX_[8013]) * -5.1e-05 + vX_[8015] * -0.022734;
+ vX_[7779] = (0 - vX_[8007]) * 0.5824264;
+ vX_[7773] = (0 - vX_[8010]) * 0.1466472;
+ vX_[1826] = (0 - vX_[8017]) * -3.6e-05;
+ vX_[2658] = (0 - vX_[8015]) * -5.1e-05;
+ vX_[2661] = vX_[7779] + vX_[7773] + vX_[1826] - vX_[2658];
+ vX_[46] = vX_[7973] + vX_[8007] * vX_[158] + vX_[8006] * vX_[514] + vX_[8010] * vX_[566] + vX_[8013] * vX_[565] +
+ vX_[8015] * vX_[122];
+ vX_[2661] = vX_[5327] + vX_[7565] * vX_[752] + vX_[7414] * vX_[93] + vX_[7337] * vX_[4095] + vX_[7602] * vX_[3880] +
+ vX_[1727] * vX_[4085] + vX_[1702] * vX_[4092] + vX_[2661] * vX_[4104] + vX_[2661] * vX_[4104] +
+ vX_[46] * x_in[33];
+ vX_[7799] = vX_[7578] - vX_[7999];
+ vX_[2672] = vX_[7799] * vX_[126] + vX_[2836] * vX_[1];
+ vX_[2660] = vX_[7799] * vX_[139] + vX_[2836] * vX_[126];
+ vX_[2671] = vX_[2660] + vX_[7978];
+ vX_[9060] = vX_[2672] * vX_[139] + vX_[2671] * vX_[126] + vX_[1039] * vX_[1];
+ vX_[2634] = 0 - vX_[9060];
+ vX_[4114] = vX_[7999] + vX_[2672] * vX_[126] + vX_[7978] * vX_[1];
+ vX_[2849] = 0 - vX_[4114];
+ vX_[8164] = vX_[7999] + vX_[2660] * vX_[139] + vX_[1039] * vX_[126];
+ vX_[7992] = vX_[7981] + vX_[7992] - vX_[1992];
+ vX_[7981] = vX_[826] * vX_[126] + vX_[1992] * vX_[1];
+ vX_[8696] = 0 - (vX_[7992] * vX_[139] + vX_[7993] * vX_[126]) + vX_[7981];
+ vX_[8687] = vX_[8696] + vX_[4114] * vX_[127];
+ vX_[2639] = 0 - vX_[8687];
+ vX_[3674] = vX_[826] * vX_[139] + vX_[1992] * vX_[126];
+ vX_[1950] = vX_[7992] * vX_[126] + vX_[7993] * vX_[1] + vX_[3674];
+ vX_[2633] = 0 - vX_[8164];
+ vX_[2662] = vX_[1950] + vX_[9060] * vX_[127] + vX_[2633] * vX_[27];
+ vX_[2838] = vX_[7980] + vX_[2838];
+ vX_[7980] = vX_[2798] * vX_[126] + vX_[2838] * vX_[139];
+ vX_[9161] = vX_[7980] * vX_[126] + vX_[7984] * vX_[1];
+ vX_[7841] = vX_[7969] + vX_[7841];
+ vX_[1966] = 0 - vX_[1966];
+ vX_[7969] = vX_[7841] * vX_[139] + vX_[1966] * vX_[126];
+ vX_[2645] = 0 - vX_[7969];
+ vX_[9311] = vX_[9161] + vX_[2645] * vX_[27] + vX_[2849] * vX_[141];
+ vX_[8002] = 0 - vX_[9311];
+ vX_[2657] = vX_[2798] * vX_[1] + vX_[2838] * vX_[126];
+ vX_[2642] = vX_[2657] * vX_[139] + vX_[7975] * vX_[126];
+ vX_[2644] = vX_[7841] * vX_[126] + vX_[1856] * vX_[1];
+ vX_[2656] = 0 - vX_[2644];
+ vX_[2640] = vX_[2642] + vX_[2656] * vX_[127] + vX_[8164] * vX_[141];
+ vX_[2669] = vX_[2657] * vX_[126] + vX_[7975] * vX_[1];
+ vX_[2668] = vX_[2669] + vX_[7969] * vX_[127];
+ vX_[2637] = vX_[7980] * vX_[139] + vX_[7984] * vX_[126];
+ vX_[7748] = vX_[2637] + vX_[2644] * vX_[27] + vX_[2634] * vX_[141];
+ vX_[9257] = 0 - vX_[2668] + vX_[7748];
+ vX_[9274] = 0 - vX_[9060];
+ vX_[2626] = 0 - vX_[4114];
+ vX_[2849] = vX_[2634] * vX_[569] + vX_[2849] * vX_[517] + vX_[8164] * vX_[105] + vX_[2639] * vX_[142] +
+ vX_[2662] * vX_[153] + vX_[8002] * vX_[134] + vX_[2640] * vX_[128] + vX_[9257] * vX_[125] +
+ vX_[9274] * vX_[566] + vX_[9060] * vX_[563] + vX_[2626] * vX_[516] + vX_[8164] * vX_[520];
+ vX_[2634] = vX_[8006] * -3.44;
+ vX_[2631] = vX_[8017] * 0.1466472;
+ vX_[2625] = vX_[8015] * 0.5824264;
+ vX_[2624] = 0 - vX_[2634] + vX_[2631] - vX_[2625];
+ vX_[2621] = vX_[7965] + vX_[8007] * vX_[153] + vX_[8006] * vX_[128] + vX_[8010] * vX_[125] + vX_[8013] * vX_[563] +
+ vX_[8015] * vX_[514];
+ vX_[7602] = vX_[7565] * vX_[751] + vX_[7414] * vX_[75] + vX_[2624] * vX_[4085] + vX_[7602] * vX_[4104] -
+ vX_[2621] * x_in[33];
+ vX_[7999] = vX_[7578] + vX_[1848] + vX_[7999] - vX_[4114] - vX_[8164];
+ vX_[1848] = 0 - vX_[7999];
+ vX_[7981] = vX_[7981] + vX_[1848] * vX_[127];
+ vX_[3674] = vX_[3674] + vX_[7999] * vX_[27];
+ vX_[7578] = 0 - vX_[2662];
+ vX_[2628] = 0 - vX_[2640];
+ vX_[1926] = vX_[1929] + vX_[1926] + vX_[2838] + vX_[2834] - vX_[2669] - vX_[2637];
+ vX_[7748] = vX_[1926] - vX_[7748];
+ vX_[1929] = 0 - vX_[7969];
+ vX_[2627] = 0 - vX_[9060];
+ vX_[9063] = 0 - vX_[8164];
+ vX_[8217] = vX_[2825] - vX_[7994];
+ vX_[5374] = vX_[7986] + vX_[5374];
+ vX_[7986] = vX_[8217] * vX_[126] + vX_[2840] * vX_[1];
+ vX_[7756] = vX_[8217] * vX_[139] + vX_[2840] * vX_[126];
+ vX_[8035] = vX_[8031] * 0.1104774 + vX_[8033] * -0.0004405 + vX_[8035] * 0.025941;
+ vX_[9302] = (0 - vX_[8020]) * 8.81e-05;
+ vX_[7559] = vX_[9302] + vX_[7559];
+ vX_[8039] = vX_[8020] * -0.0004405 + vX_[8031] * -8.81e-05 + vX_[8039] * 0.000468;
+ vX_[7559] = vX_[2027] * vX_[4062] + vX_[7574] * vX_[4061] + vX_[7580] * vX_[4071] + vX_[8035] * vX_[4070] +
+ vX_[7559] * vX_[4053] + vX_[7559] * vX_[4053] + vX_[8039] * x_in[35];
+ vX_[9302] = vX_[9302] + vX_[2910];
+ vX_[8037] = vX_[8020] * -0.1104774 + vX_[8033] * 8.81e-05 + vX_[8037] * 0.026409;
+ vX_[9302] = vX_[3089] * vX_[4062] + vX_[5323] * vX_[1994] + vX_[7985] * vX_[4071] + vX_[8035] * vX_[4053] +
+ vX_[9302] * vX_[4070] + vX_[9302] * vX_[4070] - vX_[8037] * x_in[35];
+ vX_[8035] = vX_[8022] * 0.47422804 + vX_[8023] * 0.0825825 + vX_[8030] * 0.081641 + (0 - vX_[8019]) * 2.1e-05 +
+ vX_[8028] * -0.000102;
+ vX_[5323] = (0 - vX_[8030]) * -0.007418;
+ vX_[5340] = vX_[5338] + vX_[5323] - vX_[5340];
+ vX_[5338] =
+ vX_[8018] * vX_[69] + vX_[8022] * vX_[85] + vX_[8023] * vX_[74] + vX_[8019] * vX_[117] + vX_[8028] * vX_[113];
+ vX_[5340] = vX_[7495] * -0.35 + vX_[7559] * vX_[7] + vX_[9302] * vX_[51] + vX_[7745] * vX_[4064] +
+ vX_[7638] * vX_[4091] + vX_[2848] * vX_[4082] + vX_[8035] * vX_[4074] + vX_[5340] * vX_[4072] +
+ vX_[5340] * vX_[4072] + vX_[5338] * x_in[34];
+ vX_[5323] = vX_[7576] - vX_[5323] - vX_[2868];
+ vX_[2868] =
+ vX_[8018] * vX_[82] + vX_[8022] * vX_[86] + vX_[8023] * vX_[80] + vX_[8019] * vX_[111] + vX_[8028] * vX_[117];
+ vX_[5323] = vX_[7559] * vX_[52] + vX_[9302] * vX_[7] + vX_[7561] * vX_[4064] + vX_[3489] * vX_[4066] +
+ vX_[7556] * vX_[4082] + vX_[8035] * vX_[4072] + vX_[5323] * vX_[4074] + vX_[5323] * vX_[4074] -
+ vX_[2868] * x_in[34];
+ vX_[2625] = vX_[2634] - vX_[2631] + vX_[2625];
+ vX_[2631] = vX_[8007] * 0.1466472 + vX_[8010] * 0.5824264 + vX_[8017] * -5.1e-05 + (0 - vX_[8013]) * -0.123672 +
+ (0 - vX_[8015]) * -3.6e-05;
+ vX_[2634] = vX_[8013] * -0.022734;
+ vX_[1826] = vX_[7779] - vX_[1826] - vX_[2634];
+ vX_[7779] = vX_[7971] + vX_[8007] * vX_[96] + vX_[8006] * vX_[563] + vX_[8010] * vX_[515] + vX_[8013] * vX_[513] +
+ vX_[8015] * vX_[565];
+ vX_[1826] = vX_[5340] * vX_[4] + vX_[5323] * vX_[75] + vX_[2625] * vX_[4095] + vX_[7330] * vX_[4096] +
+ vX_[2631] * vX_[4085] + vX_[1702] * vX_[4104] + vX_[1826] * vX_[4092] + vX_[1826] * vX_[4092] -
+ vX_[7779] * x_in[33];
+ vX_[8066] = vX_[8066] * vX_[1986];
+ vX_[8067] = vX_[8067] * vX_[1986];
+ vX_[1702] = vX_[8066] * vX_[7] + vX_[8067] * vX_[51];
+ vX_[8068] = vX_[8068] * vX_[1986];
+ vX_[8038] = vX_[8038] * vX_[1975];
+ vX_[7330] = vX_[8038] * vX_[7];
+ vX_[8035] = vX_[8038] * vX_[51];
+ vX_[8054] = vX_[8054] * vX_[1993];
+ vX_[3489] = vX_[8054] * vX_[51];
+ vX_[8040] = vX_[8040] * vX_[1975];
+ vX_[7556] = vX_[8040] * vX_[7];
+ vX_[7561] = 0 - vX_[7556];
+ vX_[7576] = vX_[8040] * vX_[51];
+ vX_[7638] = 0 - vX_[8035];
+ vX_[2848] = 0 - vX_[8054];
+ vX_[7745] = vX_[2848] * vX_[7];
+ vX_[8055] = vX_[8055] * vX_[1993];
+ vX_[7495] = 0 - vX_[8055];
+ vX_[7985] = vX_[7495] * vX_[51];
+ vX_[3089] = vX_[8055] * vX_[7];
+ vX_[8042] = vX_[8042] * vX_[1983];
+ vX_[8033] = vX_[8066] + vX_[8042];
+ vX_[8043] = vX_[8043] * vX_[1983];
+ vX_[8020] = 0 - vX_[8067] - vX_[8043];
+ vX_[2910] = vX_[8033] * vX_[51] + vX_[8020] * vX_[7];
+ vX_[7574] = vX_[8042] * vX_[7] + vX_[8043] * vX_[51];
+ vX_[8060] = vX_[8060] * vX_[1993] + vX_[8048] * vX_[1975];
+ vX_[8048] = 0 - vX_[8060];
+ vX_[7580] = 0 - vX_[8060];
+ vX_[2027] = vX_[7580] * vX_[7];
+ vX_[8031] = vX_[8060] * vX_[51];
+ vX_[2229] = vX_[8061] * vX_[893] + vX_[8293] * vX_[845] + vX_[8302] * vX_[877];
+ vX_[2230] = 0 - vX_[2229];
+ vX_[2232] = vX_[8061] * vX_[985] + vX_[8293] * vX_[878] + vX_[8302] * vX_[839];
+ vX_[2214] = vX_[2230] * x_in[18] + vX_[2232] * x_in[19];
+ vX_[2215] = 0 - vX_[2214];
+ vX_[301] = 0 - vX_[2214];
+ vX_[2217] = vX_[301] * vX_[7];
+ vX_[278] = vX_[2214] * vX_[51];
+ vX_[8061] = vX_[8061] * vX_[875] + vX_[8293] * vX_[894] + vX_[8302] * vX_[986];
+ jac[1257] = vX_[7622] * vX_[3967] + vX_[7646] * vX_[4066] + vX_[2868] * vX_[3980] + vX_[5338] * vX_[4072] +
+ vX_[5327] + vX_[8061] * vX_[899] + vX_[2229] * vX_[851] + vX_[2232] * vX_[884];
+ jac[1293] = vX_[2878] * vX_[1988] + vX_[7563] * vX_[1994] + vX_[8037] * vX_[988] + vX_[8039] * vX_[4053] +
+ vX_[2855] + vX_[8061] * vX_[908] + vX_[2229] * vX_[862] + vX_[2232] * vX_[881];
+ vX_[8037] = vX_[8061] * x_in[35];
+ vX_[8039] = vX_[8037] * vX_[7];
+ vX_[2878] = vX_[8037] * vX_[51];
+ vX_[7563] = vX_[8061] * x_in[34];
+ vX_[2855] = vX_[7563] * vX_[51];
+ vX_[2868] = vX_[2229] * x_in[33];
+ vX_[5338] = vX_[7563] * vX_[7];
+ vX_[7622] = vX_[2868] * vX_[7];
+ vX_[7646] = vX_[2868] * vX_[51];
+ vX_[5327] = vX_[8072] * vX_[940];
+ vX_[8302] = 0 - vX_[5327];
+ vX_[8293] = 0 - vX_[5327];
+ vX_[2219] = vX_[8293] * vX_[7];
+ vX_[344] = vX_[5327] * vX_[51];
+ vX_[5384] = 0 - vX_[5384];
+ vX_[9011] = vX_[7756] + vX_[7988];
+ vX_[2220] = 0 - vX_[7981];
+ vX_[7998] = 0 - vX_[3674];
+ vX_[1926] = 0 - vX_[1926] + vX_[2668];
+ vX_[2668] = 0 - vX_[2644];
+ vX_[8032] = vX_[8032] * vX_[1975];
+ vX_[9057] = vX_[8032] * vX_[51];
+ vX_[8034] = vX_[8034] * vX_[1975];
+ vX_[1064] = vX_[8034] * vX_[7];
+ vX_[8036] = vX_[8036] * vX_[1975];
+ vX_[8053] = vX_[8053] * vX_[1993];
+ vX_[8069] = vX_[8069] * vX_[1986];
+ vX_[1232] = vX_[8069] * vX_[7];
+ vX_[9146] = vX_[8069] * vX_[51];
+ vX_[8058] = vX_[8058] * vX_[810];
+ vX_[9004] = vX_[8058] * vX_[51];
+ vX_[8070] = vX_[8070] * vX_[1986];
+ vX_[317] = vX_[8070] * vX_[7];
+ vX_[8220] = 0 - vX_[317];
+ vX_[9010] = vX_[8070] * vX_[51];
+ vX_[8646] = 0 - vX_[8032] - vX_[8058];
+ vX_[8059] = vX_[8059] * vX_[810];
+ vX_[1339] = 0 - vX_[8034] - vX_[8059];
+ vX_[9030] = vX_[8646] * vX_[7] + vX_[1339] * vX_[51];
+ vX_[1110] = vX_[8059] * vX_[7];
+ vX_[8056] = vX_[8056] * vX_[1993] + vX_[8047] * vX_[1986];
+ vX_[8047] = vX_[8056] * vX_[7];
+ vX_[1313] = vX_[8056] * vX_[51];
+ vX_[2211] = 0 - vX_[2232];
+ vX_[2212] = vX_[8061] * x_in[18] + vX_[2211] * x_in[20];
+ vX_[2246] = vX_[2212] * vX_[7];
+ vX_[2273] = vX_[2212] * vX_[51];
+ vX_[2248] = vX_[8061] * x_in[33];
+ vX_[2247] = vX_[2229] * x_in[35];
+ vX_[2253] = 0 - vX_[2247];
+ vX_[2254] = vX_[2253] * vX_[7];
+ vX_[7736] = vX_[2247] * vX_[51];
+ vX_[7743] = vX_[2229] * x_in[34];
+ vX_[8160] = 0 - vX_[7743];
+ vX_[8602] = vX_[2248] * vX_[7];
+ vX_[8597] = 0 - vX_[7743];
+ vX_[8603] = vX_[8597] * vX_[7];
+ vX_[9083] = vX_[2248] * vX_[51];
+ vX_[8642] = vX_[7743] * vX_[51];
+ vX_[2258] = vX_[8072] * vX_[929];
+ vX_[2261] = vX_[2258] * vX_[7];
+ vX_[8613] = vX_[2258] * vX_[51];
+ jac[573] =
+ 0 -
+ (vX_[7965] * vX_[4013] + vX_[7971] * vX_[4518] + vX_[7987] * vX_[776] + vX_[7974] * vX_[957] +
+ vX_[3053] * vX_[699] + vX_[2840] * vX_[701] + vX_[7983] * vX_[142] + vX_[7988] * vX_[389] +
+ vX_[2889] * vX_[125] + vX_[2798] * vX_[674] + vX_[1992] * vX_[150] + vX_[2834] * vX_[643] +
+ vX_[7975] * vX_[642] + vX_[7984] * vX_[639] + vX_[7993] * vX_[159] + vX_[7982] * vX_[573] +
+ vX_[2836] * vX_[575] + vX_[1856] * vX_[623] + vX_[7978] * vX_[519] + vX_[1039] * vX_[570] +
+ vX_[7318] * x_in[22] + vX_[2661] * x_in[19] +
+ (vX_[7965] * vX_[5604] + vX_[7979] * vX_[776] + vX_[2849] * vX_[139] + vX_[7318] * x_in[20]) * -0.3735 -
+ (vX_[7967] * vX_[4885] + vX_[7989] * vX_[4079] + vX_[7602] * x_in[23]) +
+ (vX_[7967] * vX_[4518] + vX_[7974] * vX_[4079] + vX_[7602] * x_in[19]) * -0.3735 +
+ (vX_[7967] * vX_[4368] + vX_[8005] * vX_[4079] + vX_[2645] * vX_[517] + vX_[2644] * vX_[569] +
+ vX_[7999] * vX_[152] + vX_[2633] * vX_[154] + vX_[7981] * vX_[125] + vX_[3674] * vX_[134] +
+ vX_[7578] * vX_[137] + vX_[2628] * vX_[153] + vX_[7748] * vX_[142] + vX_[1929] * vX_[515] +
+ vX_[2644] * vX_[566] + vX_[2627] * vX_[96] + vX_[9063] * vX_[522] + vX_[7602] * x_in[18]) *
+ 0.207 -
+ (vX_[7973] * vX_[5604] + vX_[7979] * vX_[951] + vX_[8217] * vX_[698] + vX_[5374] * vX_[684] +
+ vX_[7986] * vX_[125] + vX_[7756] * vX_[271] + vX_[7995] * vX_[640] + vX_[826] * vX_[160] +
+ vX_[2838] * vX_[675] + vX_[2657] * vX_[641] + vX_[7980] * vX_[568] + vX_[7992] * vX_[149] +
+ vX_[7799] * vX_[572] + vX_[7841] * vX_[622] + vX_[2672] * vX_[570] + vX_[2660] * vX_[523] +
+ vX_[2849] * vX_[140] + vX_[1826] * x_in[20]) +
+ vX_[8021] * vX_[1975] + vX_[8057] * vX_[810] + vX_[1702] * vX_[9] + (0 - vX_[8068]) * 0.3735 +
+ vX_[8068] * vX_[9] * -0.35 + vX_[7330] * 0.35 + vX_[7330] * vX_[75] * 0.08 + vX_[7330] * vX_[9] * 0.3735 +
+ vX_[8035] * vX_[75] * 0.3735 + vX_[3489] * vX_[75] * -0.207 + vX_[7561] * vX_[75] * 0.3735 +
+ vX_[7576] * 0.35 + (vX_[7638] * vX_[9] + vX_[7576] * vX_[75]) * 0.08 + vX_[7576] * vX_[9] * 0.3735 +
+ (vX_[7745] * vX_[9] + vX_[7985] * vX_[9]) * 0.207 + vX_[3089] * vX_[75] * 0.207 + vX_[2910] * vX_[75] +
+ vX_[7574] * vX_[9] + (vX_[7556] * vX_[9] - vX_[8060]) * 0.08 + vX_[8048] * vX_[75] * 0.35 +
+ vX_[2027] * vX_[75] * 0.33 + vX_[8031] * vX_[9] * 0.33 + (0 - vX_[2214]) * 0.08 +
+ vX_[2215] * vX_[75] * 0.35 + vX_[2217] * vX_[75] * 0.33 + vX_[278] * vX_[9] * 0.33 +
+ vX_[8039] * vX_[9] * 0.33 + vX_[2878] * vX_[75] * 0.33 + vX_[7563] * vX_[9] * 0.35 +
+ vX_[2855] * vX_[75] * 0.33 + vX_[2868] * 0.08 + vX_[2868] * vX_[75] * 0.35 +
+ (vX_[5338] * vX_[9] + vX_[7622] * vX_[75]) * 0.33 + vX_[7646] * vX_[9] * -0.33 + (0 - vX_[5327]) * 0.08 +
+ vX_[8302] * vX_[75] * 0.35 + vX_[2219] * vX_[75] * 0.33 + vX_[344] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[7965] * vX_[4885] + vX_[7967] * vX_[4013] + vX_[7971] * vX_[5604] + vX_[7973] * vX_[4518] +
+ vX_[7989] * vX_[776] + vX_[7987] * vX_[4079] + vX_[7979] * vX_[957] + vX_[7974] * vX_[951] +
+ vX_[8217] * vX_[701] + vX_[3053] * vX_[697] + vX_[2840] * vX_[698] + vX_[5374] * vX_[142] +
+ vX_[5384] * vX_[684] + vX_[7986] * vX_[389] + vX_[9011] * vX_[125] + vX_[2889] * vX_[271] +
+ vX_[2798] * vX_[675] + vX_[7995] * vX_[643] + vX_[826] * vX_[150] + vX_[1992] * vX_[160] +
+ vX_[2838] * vX_[674] + vX_[2834] * vX_[640] + vX_[2657] * vX_[642] + vX_[7980] * vX_[639] +
+ vX_[7975] * vX_[641] + vX_[7984] * vX_[568] + vX_[7992] * vX_[159] + vX_[7993] * vX_[149] +
+ vX_[7799] * vX_[575] + vX_[7982] * vX_[571] + vX_[2836] * vX_[572] + vX_[7841] * vX_[623] +
+ vX_[1966] * vX_[622] + vX_[2672] * vX_[519] + vX_[2671] * vX_[570] + vX_[1039] * vX_[523] +
+ vX_[2849] * vX_[138] +
+ (vX_[7969] * vX_[567] + vX_[2656] * vX_[105] + vX_[9060] * vX_[154] + vX_[1848] * vX_[129] +
+ vX_[4114] * vX_[143] + vX_[2220] * vX_[128] + vX_[8687] * vX_[137] + vX_[7998] * vX_[125] +
+ vX_[9311] * vX_[142] + vX_[1926] * vX_[153] + vX_[7969] * vX_[563] + vX_[2668] * vX_[514] +
+ vX_[9060] * vX_[158] + vX_[4114] * vX_[511]) *
+ 0.207 +
+ vX_[7318] * x_in[23] + vX_[7602] * x_in[22] + vX_[2661] * x_in[20] + vX_[1826] * x_in[19] +
+ (vX_[7965] * vX_[4518] + vX_[7974] * vX_[776] + vX_[2849] * vX_[126] + vX_[7318] * x_in[19]) * 0.3735 +
+ (vX_[7965] * vX_[4368] + vX_[8005] * vX_[776] + vX_[7318] * x_in[18]) * -0.207 +
+ (vX_[7967] * vX_[5604] + vX_[7979] * vX_[4079] + vX_[7602] * x_in[20]) * -0.3735 + vX_[8065] * vX_[1986] +
+ vX_[8041] * vX_[1983] - vX_[9057] * vX_[75] + vX_[1064] * vX_[75] + vX_[8036] * 0.3735 +
+ vX_[8036] * vX_[9] * 0.35 + (0 - vX_[8053]) * 0.207 + vX_[1232] * 0.35 + vX_[1232] * vX_[75] * 0.08 +
+ vX_[1232] * vX_[9] * 0.3735 + vX_[9146] * vX_[75] * 0.3735 + (0 - vX_[9146] * vX_[9]) * 0.08 -
+ vX_[9004] * vX_[75] + vX_[8220] * vX_[75] * 0.3735 + vX_[317] * vX_[9] * 0.08 + vX_[9010] * 0.35 +
+ vX_[9010] * vX_[75] * 0.08 + vX_[9010] * vX_[9] * 0.3735 + vX_[9030] * vX_[9] + vX_[1110] * vX_[75] +
+ vX_[8056] * 0.08 + vX_[8056] * vX_[75] * 0.35 + vX_[8047] * vX_[75] * 0.33 + vX_[1313] * vX_[9] * -0.33 +
+ vX_[2212] * 0.08 + vX_[2212] * vX_[75] * 0.35 + vX_[2246] * vX_[75] * 0.33 + vX_[2273] * vX_[9] * -0.33 +
+ vX_[2248] * 0.08 + vX_[2248] * vX_[75] * 0.35 + vX_[2254] * vX_[9] * 0.33 + vX_[7736] * vX_[75] * -0.33 +
+ vX_[8160] * vX_[9] * 0.35 + (vX_[8602] * vX_[75] + vX_[8603] * vX_[9]) * 0.33 +
+ (vX_[9083] * vX_[9] + vX_[8642] * vX_[75]) * -0.33 + vX_[2258] * 0.08 + vX_[2258] * vX_[75] * 0.35 +
+ vX_[2261] * vX_[75] * 0.33 + vX_[8613] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[8217] = vX_[7990] - vX_[8423];
+ vX_[1541] = vX_[8417] + vX_[1541];
+ vX_[2880] = vX_[8412] + vX_[2880];
+ vX_[8412] = 0 - vX_[2880];
+ vX_[8417] = vX_[8217] * vX_[1];
+ vX_[1848] = vX_[8217] * vX_[126];
+ vX_[1650] = vX_[8414] + vX_[1650];
+ vX_[9193] = vX_[9187] + vX_[9193];
+ vX_[1546] = vX_[8413] + vX_[1546];
+ vX_[8424] = vX_[8404] + vX_[8424];
+ vX_[8404] = vX_[8424] * vX_[126] + vX_[1546] * vX_[1];
+ vX_[8413] = vX_[8424] * vX_[139] + vX_[1546] * vX_[126];
+ vX_[9192] = vX_[9177] + vX_[9192];
+ vX_[8422] = 0 - (vX_[8411] + vX_[8422]) + vX_[9192];
+ vX_[8411] = vX_[9185] - vX_[8428];
+ vX_[1459] = vX_[8407] + vX_[1459];
+ vX_[9195] = vX_[9198] + vX_[9195];
+ vX_[9198] = 0 - vX_[9195];
+ vX_[8407] = vX_[8411] * vX_[1];
+ vX_[9177] = vX_[8411] * vX_[126];
+ vX_[9187] = vX_[8462] * 0.881 + (0 - vX_[8464]) * -0.0004405 + vX_[8466] * 8.81e-05;
+ vX_[8414] = vX_[8460] * -0.881;
+ vX_[7999] = vX_[8464] * 0.1104774;
+ vX_[2849] = vX_[8468] * 8.81e-05;
+ vX_[2656] = vX_[8414] - vX_[7999] + vX_[2849];
+ vX_[2657] = vX_[9187] * vX_[4053] + vX_[2656] * vX_[4070];
+ vX_[2645] = vX_[8452] * 3.146 + (0 - vX_[8459]) * 0.0825825;
+ vX_[1966] = vX_[8451] * -3.146;
+ vX_[7841] = vX_[8459] * 0.47422804;
+ vX_[7980] = vX_[1966] - vX_[7841];
+ vX_[2838] = vX_[2657] + vX_[2645] * vX_[4072] + vX_[7980] * vX_[4074];
+ vX_[2633] = vX_[8439] * 3.44 + vX_[8442] * 0.5824264;
+ vX_[7992] = 0 - vX_[2633];
+ vX_[2671] = vX_[8436] * 3.44 + (0 - vX_[8442]) * 0.1466472;
+ vX_[2660] = vX_[8396] + vX_[8436] * vX_[142] + vX_[8435] * vX_[125] + vX_[8439] * vX_[134] + vX_[8442] * vX_[515] +
+ vX_[8444] * vX_[566];
+ vX_[2672] = vX_[2838] + vX_[7992] * vX_[4085] + vX_[2671] * vX_[4092] + vX_[2660] * x_in[33];
+ vX_[7799] = 0 - vX_[9187];
+ vX_[2849] = 0 - vX_[8414] + vX_[7999] - vX_[2849];
+ vX_[7999] = vX_[8449] * -0.0004405 + vX_[8460] * 8.81e-05 + vX_[8468] * -0.000227999999999999;
+ vX_[8414] = vX_[8449] * 0.1104774 + vX_[8462] * 8.81e-05 + (0 - vX_[8466]) * 0.025713;
+ vX_[1039] = (0 - vX_[8460]) * -0.0004405;
+ vX_[7978] = (0 - vX_[8462]) * 0.1104774;
+ vX_[1856] = vX_[1039] + vX_[7978];
+ vX_[1856] = vX_[7799] * vX_[1994] + vX_[2849] * vX_[4061] + vX_[7999] * vX_[4053] + vX_[8414] * vX_[4070] +
+ vX_[1856] * vX_[4071] + vX_[1856] * vX_[4071];
+ vX_[2836] = vX_[8449] * 0.881 + (0 - vX_[8466]) * 0.1104774 + vX_[8468] * -0.0004405;
+ vX_[7982] = vX_[8460] * -0.00185880198235362 + vX_[8462] * 0.880992588508842 + vX_[8466] * 8.81e-05;
+ vX_[7799] = vX_[7799] * vX_[4071] + vX_[2836] * vX_[4070] + vX_[7982] * x_in[35];
+ vX_[7993] = 0 - vX_[2836];
+ vX_[826] = vX_[8460] * 0.414812462825713 + vX_[8462] * -0.00185880198235362 + vX_[8468] * -8.81e-05;
+ vX_[2849] = vX_[2849] * vX_[4071] + vX_[7993] * vX_[4053] - vX_[826] * x_in[35];
+ vX_[7984] = 0 - vX_[2645];
+ vX_[7841] = 0 - vX_[1966] + vX_[7841];
+ vX_[1966] = vX_[8447] * 0.0825825 + (0 - vX_[8459]) * -0.000102 + vX_[8448] * -0.007418 + vX_[8457] * 0.002735;
+ vX_[7975] = vX_[8447] * 0.47422804 + vX_[8459] * 2.1e-05 + (0 - vX_[8448]) * 0.084376 + (0 - vX_[8457]) * -0.007418;
+ vX_[7995] = (0 - vX_[8451]) * 0.0825825;
+ vX_[2834] = (0 - vX_[8452]) * 0.47422804;
+ vX_[1992] = vX_[8448] * -0.000102;
+ vX_[2798] = (0 - vX_[8457]) * 2.1e-05;
+ vX_[2840] = vX_[7995] + vX_[2834] + vX_[1992] + vX_[2798];
+ vX_[2840] = vX_[1856] + vX_[7799] * vX_[764] + vX_[2849] * vX_[54] + vX_[7984] * vX_[4066] + vX_[7841] * vX_[4091] +
+ vX_[1966] * vX_[4072] + vX_[7975] * vX_[4074] + vX_[2840] * vX_[4082] + vX_[2840] * vX_[4082];
+ vX_[3053] = vX_[8447] * 3.146 + (0 - vX_[8448]) * 0.47422804 + vX_[8457] * 0.0825825;
+ vX_[8065] = vX_[8394] + vX_[8451] * vX_[102] + vX_[8452] * vX_[101] + vX_[8448] * vX_[80] + vX_[8457] * vX_[74];
+ vX_[7984] =
+ vX_[7799] * vX_[7] + vX_[2849] * vX_[51] + vX_[7984] * vX_[4082] + vX_[3053] * vX_[4074] + vX_[8065] * x_in[34];
+ vX_[8057] = 0 - vX_[3053];
+ vX_[8041] = vX_[8392] + vX_[8451] * vX_[100] + vX_[8452] * vX_[102] + vX_[8448] * vX_[86] + vX_[8457] * vX_[85];
+ vX_[7841] = vX_[7799] * vX_[756] + vX_[2849] * vX_[7] + vX_[7841] * vX_[4082] + vX_[8057] * vX_[4072] -
+ vX_[8041] * x_in[34];
+ vX_[8021] = 0 - vX_[2671];
+ vX_[7973] = vX_[8435] * 0.5824264 + (0 - vX_[8446]) * -0.022734 + vX_[8442] * -3.6e-05 + vX_[8444] * -0.133138;
+ vX_[7971] = vX_[8435] * 0.1466472 + vX_[8446] * 0.009466 + (0 - vX_[8442]) * -5.1e-05 + vX_[8444] * -0.022734;
+ vX_[7967] = (0 - vX_[8436]) * 0.5824264;
+ vX_[7965] = (0 - vX_[8439]) * 0.1466472;
+ vX_[8615] = (0 - vX_[8446]) * -3.6e-05;
+ vX_[2272] = (0 - vX_[8444]) * -5.1e-05;
+ vX_[2260] = vX_[7967] + vX_[7965] + vX_[8615] - vX_[2272];
+ vX_[2271] = vX_[8402] + vX_[8436] * vX_[158] + vX_[8435] * vX_[514] + vX_[8439] * vX_[566] + vX_[8442] * vX_[565] +
+ vX_[8444] * vX_[122];
+ vX_[2260] = vX_[2840] + vX_[7984] * vX_[752] + vX_[7841] * vX_[93] + vX_[2633] * vX_[4095] + vX_[8021] * vX_[3880] +
+ vX_[7973] * vX_[4085] + vX_[7971] * vX_[4092] + vX_[2260] * vX_[4104] + vX_[2260] * vX_[4104] +
+ vX_[2271] * x_in[33];
+ vX_[8635] = vX_[7997] - vX_[8428];
+ vX_[2234] = vX_[8635] * vX_[126] + vX_[1459] * vX_[1];
+ vX_[8662] = vX_[8635] * vX_[139] + vX_[1459] * vX_[126];
+ vX_[2449] = vX_[8662] + vX_[8407];
+ vX_[2000] = vX_[2234] * vX_[139] + vX_[2449] * vX_[126] + vX_[9177] * vX_[1];
+ vX_[995] = 0 - vX_[2000];
+ vX_[1156] = vX_[8428] + vX_[2234] * vX_[126] + vX_[8407] * vX_[1];
+ vX_[2239] = 0 - vX_[1156];
+ vX_[8609] = vX_[8428] + vX_[8662] * vX_[139] + vX_[9177] * vX_[126];
+ vX_[8421] = vX_[8410] + vX_[8421] - vX_[9193];
+ vX_[8410] = vX_[9192] * vX_[126] + vX_[9193] * vX_[1];
+ vX_[8633] = 0 - (vX_[8421] * vX_[139] + vX_[8422] * vX_[126]) + vX_[8410];
+ vX_[2233] = vX_[8633] + vX_[1156] * vX_[127];
+ vX_[2262] = 0 - vX_[2233];
+ vX_[1616] = vX_[9192] * vX_[139] + vX_[9193] * vX_[126];
+ vX_[2245] = vX_[8421] * vX_[126] + vX_[8422] * vX_[1] + vX_[1616];
+ vX_[2754] = 0 - vX_[8609];
+ vX_[1031] = vX_[2245] + vX_[2000] * vX_[127] + vX_[2754] * vX_[27];
+ vX_[1615] = vX_[8409] + vX_[1615];
+ vX_[8409] = vX_[1650] * vX_[126] + vX_[1615] * vX_[139];
+ vX_[2257] = vX_[8409] * vX_[126] + vX_[8413] * vX_[1];
+ vX_[8260] = vX_[8387] + vX_[8260];
+ vX_[9195] = 0 - vX_[9195];
+ vX_[8387] = vX_[8260] * vX_[139] + vX_[9195] * vX_[126];
+ vX_[2242] = 0 - vX_[8387];
+ vX_[2244] = vX_[2257] + vX_[2242] * vX_[27] + vX_[2239] * vX_[141];
+ vX_[2256] = 0 - vX_[2244];
+ vX_[2240] = vX_[1650] * vX_[1] + vX_[1615] * vX_[126];
+ vX_[2269] = vX_[2240] * vX_[139] + vX_[8404] * vX_[126];
+ vX_[2268] = vX_[8260] * vX_[126] + vX_[9198] * vX_[1];
+ vX_[2237] = 0 - vX_[2268];
+ vX_[8253] = vX_[2269] + vX_[2237] * vX_[127] + vX_[8609] * vX_[141];
+ vX_[8604] = vX_[2240] * vX_[126] + vX_[8404] * vX_[1];
+ vX_[9168] = vX_[8604] + vX_[8387] * vX_[127];
+ vX_[2226] = vX_[8409] * vX_[139] + vX_[8413] * vX_[126];
+ vX_[2231] = vX_[2226] + vX_[2268] * vX_[27] + vX_[995] * vX_[141];
+ vX_[2225] = 0 - vX_[9168] + vX_[2231];
+ vX_[2224] = 0 - vX_[2000];
+ vX_[2221] = 0 - vX_[1156];
+ vX_[2239] = vX_[995] * vX_[569] + vX_[2239] * vX_[517] + vX_[8609] * vX_[105] + vX_[2262] * vX_[142] +
+ vX_[1031] * vX_[153] + vX_[2256] * vX_[134] + vX_[8253] * vX_[128] + vX_[2225] * vX_[125] +
+ vX_[2224] * vX_[566] + vX_[2000] * vX_[563] + vX_[2221] * vX_[516] + vX_[8609] * vX_[520];
+ vX_[995] = vX_[8435] * -3.44;
+ vX_[2228] = vX_[8446] * 0.1466472;
+ vX_[2227] = vX_[8444] * 0.5824264;
+ vX_[286] = 0 - vX_[995] + vX_[2228] - vX_[2227];
+ vX_[1631] = vX_[8390] + vX_[8436] * vX_[153] + vX_[8435] * vX_[128] + vX_[8439] * vX_[125] + vX_[8442] * vX_[563] +
+ vX_[8444] * vX_[514];
+ vX_[8021] = vX_[7984] * vX_[751] + vX_[7841] * vX_[75] + vX_[286] * vX_[4085] + vX_[8021] * vX_[4104] -
+ vX_[1631] * x_in[33];
+ vX_[8428] = vX_[7997] + vX_[9185] + vX_[8428] - vX_[1156] - vX_[8609];
+ vX_[9185] = 0 - vX_[8428];
+ vX_[8410] = vX_[8410] + vX_[9185] * vX_[127];
+ vX_[1616] = vX_[1616] + vX_[8428] * vX_[27];
+ vX_[7997] = 0 - vX_[1031];
+ vX_[283] = 0 - vX_[8253];
+ vX_[9194] = vX_[9197] + vX_[9194] + vX_[1615] + vX_[1546] - vX_[8604] - vX_[2226];
+ vX_[2231] = vX_[9194] - vX_[2231];
+ vX_[9197] = 0 - vX_[8387];
+ vX_[8580] = 0 - vX_[2000];
+ vX_[1072] = 0 - vX_[8609];
+ vX_[1074] = vX_[1454] - vX_[8423];
+ vX_[2899] = vX_[8415] + vX_[2899];
+ vX_[8415] = vX_[1074] * vX_[126] + vX_[1541] * vX_[1];
+ vX_[1076] = vX_[1074] * vX_[139] + vX_[1541] * vX_[126];
+ vX_[8464] = vX_[8460] * 0.1104774 + vX_[8462] * -0.0004405 + vX_[8464] * 0.025941;
+ vX_[1055] = (0 - vX_[8449]) * 8.81e-05;
+ vX_[7978] = vX_[1055] + vX_[7978];
+ vX_[8468] = vX_[8449] * -0.0004405 + vX_[8460] * -8.81e-05 + vX_[8468] * 0.000468;
+ vX_[7978] = vX_[9187] * vX_[4062] + vX_[7993] * vX_[4061] + vX_[7999] * vX_[4071] + vX_[8464] * vX_[4070] +
+ vX_[7978] * vX_[4053] + vX_[7978] * vX_[4053] + vX_[8468] * x_in[35];
+ vX_[1055] = vX_[1055] + vX_[1039];
+ vX_[8466] = vX_[8449] * -0.1104774 + vX_[8462] * 8.81e-05 + vX_[8466] * 0.026409;
+ vX_[1055] = vX_[2656] * vX_[4062] + vX_[2836] * vX_[1994] + vX_[8414] * vX_[4071] + vX_[8464] * vX_[4053] +
+ vX_[1055] * vX_[4070] + vX_[1055] * vX_[4070] - vX_[8466] * x_in[35];
+ vX_[8464] = vX_[8451] * 0.47422804 + vX_[8452] * 0.0825825 + vX_[8459] * 0.081641 + (0 - vX_[8448]) * 2.1e-05 +
+ vX_[8457] * -0.000102;
+ vX_[2836] = (0 - vX_[8459]) * -0.007418;
+ vX_[2798] = vX_[2834] + vX_[2836] - vX_[2798];
+ vX_[2834] = vX_[8386] + vX_[8447] * vX_[69] + vX_[8451] * vX_[85] + vX_[8452] * vX_[74] + vX_[8448] * vX_[117] +
+ vX_[8457] * vX_[113];
+ vX_[2798] = vX_[2657] * -0.35 + vX_[7978] * vX_[7] + vX_[1055] * vX_[51] + vX_[2645] * vX_[4064] +
+ vX_[8057] * vX_[4091] + vX_[1966] * vX_[4082] + vX_[8464] * vX_[4074] + vX_[2798] * vX_[4072] +
+ vX_[2798] * vX_[4072] + vX_[2834] * x_in[34];
+ vX_[2836] = vX_[7995] - vX_[2836] - vX_[1992];
+ vX_[1992] = vX_[8384] + vX_[8447] * vX_[82] + vX_[8451] * vX_[86] + vX_[8452] * vX_[80] + vX_[8448] * vX_[111] +
+ vX_[8457] * vX_[117];
+ vX_[2836] = vX_[7978] * vX_[52] + vX_[1055] * vX_[7] + vX_[7980] * vX_[4064] + vX_[3053] * vX_[4066] +
+ vX_[7975] * vX_[4082] + vX_[8464] * vX_[4072] + vX_[2836] * vX_[4074] + vX_[2836] * vX_[4074] -
+ vX_[1992] * x_in[34];
+ vX_[2227] = vX_[995] - vX_[2228] + vX_[2227];
+ vX_[2228] = vX_[8436] * 0.1466472 + vX_[8439] * 0.5824264 + vX_[8446] * -5.1e-05 + (0 - vX_[8442]) * -0.123672 +
+ (0 - vX_[8444]) * -3.6e-05;
+ vX_[995] = vX_[8442] * -0.022734;
+ vX_[8615] = vX_[7967] - vX_[8615] - vX_[995];
+ vX_[7967] = vX_[8400] + vX_[8436] * vX_[96] + vX_[8435] * vX_[563] + vX_[8439] * vX_[515] + vX_[8442] * vX_[513] +
+ vX_[8444] * vX_[565];
+ vX_[8615] = vX_[2798] * vX_[4] + vX_[2836] * vX_[75] + vX_[2227] * vX_[4095] + vX_[2671] * vX_[4096] +
+ vX_[2228] * vX_[4085] + vX_[7971] * vX_[4104] + vX_[8615] * vX_[4092] + vX_[8615] * vX_[4092] -
+ vX_[7967] * x_in[33];
+ vX_[8495] = vX_[8495] * vX_[1986];
+ vX_[8496] = vX_[8496] * vX_[1986];
+ vX_[7971] = vX_[8495] * vX_[7] + vX_[8496] * vX_[51];
+ vX_[8497] = vX_[8497] * vX_[1986];
+ vX_[8467] = vX_[8467] * vX_[1975];
+ vX_[2671] = vX_[8467] * vX_[7];
+ vX_[8464] = vX_[8467] * vX_[51];
+ vX_[8483] = vX_[8483] * vX_[1993];
+ vX_[3053] = vX_[8483] * vX_[51];
+ vX_[8469] = vX_[8469] * vX_[1975];
+ vX_[7975] = vX_[8469] * vX_[7];
+ vX_[7980] = 0 - vX_[7975];
+ vX_[7995] = vX_[8469] * vX_[51];
+ vX_[8057] = 0 - vX_[8464];
+ vX_[1966] = 0 - vX_[8483];
+ vX_[2645] = vX_[1966] * vX_[7];
+ vX_[8484] = vX_[8484] * vX_[1993];
+ vX_[2657] = 0 - vX_[8484];
+ vX_[8414] = vX_[2657] * vX_[51];
+ vX_[2656] = vX_[8484] * vX_[7];
+ vX_[8471] = vX_[8471] * vX_[1983];
+ vX_[8462] = vX_[8495] + vX_[8471];
+ vX_[8472] = vX_[8472] * vX_[1983];
+ vX_[8449] = 0 - vX_[8496] - vX_[8472];
+ vX_[1039] = vX_[8462] * vX_[51] + vX_[8449] * vX_[7];
+ vX_[7993] = vX_[8471] * vX_[7] + vX_[8472] * vX_[51];
+ vX_[8489] = vX_[8489] * vX_[1993] + vX_[8477] * vX_[1975];
+ vX_[8477] = 0 - vX_[8489];
+ vX_[7999] = 0 - vX_[8489];
+ vX_[9187] = vX_[7999] * vX_[7];
+ vX_[8460] = vX_[8489] * vX_[51];
+ vX_[1056] = vX_[8490] * vX_[893] + vX_[8722] * vX_[845] + vX_[8731] * vX_[877];
+ vX_[2048] = 0 - vX_[1056];
+ vX_[1058] = vX_[8490] * vX_[985] + vX_[8722] * vX_[878] + vX_[8731] * vX_[839];
+ vX_[9038] = vX_[2048] * x_in[18] + vX_[1058] * x_in[19];
+ vX_[1060] = 0 - vX_[9038];
+ vX_[1508] = 0 - vX_[9038];
+ vX_[9020] = vX_[1508] * vX_[7];
+ vX_[1061] = vX_[9038] * vX_[51];
+ vX_[8490] = vX_[8490] * vX_[875] + vX_[8722] * vX_[894] + vX_[8731] * vX_[986];
+ jac[1258] = vX_[8041] * vX_[3967] + vX_[8065] * vX_[4066] + vX_[1992] * vX_[3980] + vX_[2834] * vX_[4072] +
+ vX_[2840] + vX_[8490] * vX_[899] + vX_[1056] * vX_[851] + vX_[1058] * vX_[884];
+ jac[1294] = vX_[826] * vX_[1988] + vX_[7982] * vX_[1994] + vX_[8466] * vX_[988] + vX_[8468] * vX_[4053] +
+ vX_[1856] + vX_[8490] * vX_[908] + vX_[1056] * vX_[862] + vX_[1058] * vX_[881];
+ vX_[8466] = vX_[8490] * x_in[35];
+ vX_[8468] = vX_[8466] * vX_[7];
+ vX_[826] = vX_[8466] * vX_[51];
+ vX_[7982] = vX_[8490] * x_in[34];
+ vX_[1856] = vX_[7982] * vX_[51];
+ vX_[1992] = vX_[1056] * x_in[33];
+ vX_[2834] = vX_[7982] * vX_[7];
+ vX_[8041] = vX_[1992] * vX_[7];
+ vX_[8065] = vX_[1992] * vX_[51];
+ vX_[2840] = vX_[8501] * vX_[940];
+ vX_[8731] = 0 - vX_[2840];
+ vX_[8722] = 0 - vX_[2840];
+ vX_[1605] = vX_[8722] * vX_[7];
+ vX_[1778] = vX_[2840] * vX_[51];
+ vX_[2880] = 0 - vX_[2880];
+ vX_[2039] = vX_[1076] + vX_[8417];
+ vX_[379] = 0 - vX_[8410];
+ vX_[1109] = 0 - vX_[1616];
+ vX_[9194] = 0 - vX_[9194] + vX_[9168];
+ vX_[9168] = 0 - vX_[2268];
+ vX_[8461] = vX_[8461] * vX_[1975];
+ vX_[1455] = vX_[8461] * vX_[51];
+ vX_[8463] = vX_[8463] * vX_[1975];
+ vX_[391] = vX_[8463] * vX_[7];
+ vX_[8465] = vX_[8465] * vX_[1975];
+ vX_[8482] = vX_[8482] * vX_[1993];
+ vX_[8498] = vX_[8498] * vX_[1986];
+ vX_[1487] = vX_[8498] * vX_[7];
+ vX_[9018] = vX_[8498] * vX_[51];
+ vX_[8487] = vX_[8487] * vX_[810];
+ vX_[1646] = vX_[8487] * vX_[51];
+ vX_[8499] = vX_[8499] * vX_[1986];
+ vX_[8369] = vX_[8499] * vX_[7];
+ vX_[4549] = 0 - vX_[8369];
+ vX_[8331] = vX_[8499] * vX_[51];
+ vX_[1368] = 0 - vX_[8461] - vX_[8487];
+ vX_[8488] = vX_[8488] * vX_[810];
+ vX_[1048] = 0 - vX_[8463] - vX_[8488];
+ vX_[1049] = vX_[1368] * vX_[7] + vX_[1048] * vX_[51];
+ vX_[1121] = vX_[8488] * vX_[7];
+ vX_[8485] = vX_[8485] * vX_[1993] + vX_[8476] * vX_[1986];
+ vX_[8476] = vX_[8485] * vX_[7];
+ vX_[1338] = vX_[8485] * vX_[51];
+ vX_[1127] = 0 - vX_[1058];
+ vX_[1125] = vX_[8490] * x_in[18] + vX_[1127] * x_in[20];
+ vX_[1264] = vX_[1125] * vX_[7];
+ vX_[1265] = vX_[1125] * vX_[51];
+ vX_[294] = vX_[8490] * x_in[33];
+ vX_[295] = vX_[1056] * x_in[35];
+ vX_[291] = 0 - vX_[295];
+ vX_[326] = vX_[291] * vX_[7];
+ vX_[335] = vX_[295] * vX_[51];
+ vX_[337] = vX_[1056] * x_in[34];
+ vX_[1393] = 0 - vX_[337];
+ vX_[1418] = vX_[294] * vX_[7];
+ vX_[1280] = 0 - vX_[337];
+ vX_[1289] = vX_[1280] * vX_[7];
+ vX_[1421] = vX_[294] * vX_[51];
+ vX_[1427] = vX_[337] * vX_[51];
+ vX_[1330] = vX_[8501] * vX_[929];
+ vX_[1287] = vX_[1330] * vX_[7];
+ vX_[1322] = vX_[1330] * vX_[51];
+ jac[574] =
+ 0 -
+ (vX_[8390] * vX_[4013] + vX_[8400] * vX_[4518] + vX_[8416] * vX_[776] + vX_[8403] * vX_[957] +
+ vX_[8217] * vX_[699] + vX_[1541] * vX_[701] + vX_[8412] * vX_[142] + vX_[8417] * vX_[389] +
+ vX_[1848] * vX_[125] + vX_[1650] * vX_[674] + vX_[9193] * vX_[150] + vX_[1546] * vX_[643] +
+ vX_[8404] * vX_[642] + vX_[8413] * vX_[639] + vX_[8422] * vX_[159] + vX_[8411] * vX_[573] +
+ vX_[1459] * vX_[575] + vX_[9198] * vX_[623] + vX_[8407] * vX_[519] + vX_[9177] * vX_[570] +
+ vX_[2672] * x_in[22] + vX_[2260] * x_in[19] +
+ (vX_[8390] * vX_[5604] + vX_[8408] * vX_[776] + vX_[2239] * vX_[139] + vX_[2672] * x_in[20]) * -0.3735 -
+ (vX_[8396] * vX_[4885] + vX_[8418] * vX_[4079] + vX_[8021] * x_in[23]) +
+ (vX_[8396] * vX_[4518] + vX_[8403] * vX_[4079] + vX_[8021] * x_in[19]) * -0.3735 +
+ (vX_[8396] * vX_[4368] + vX_[8434] * vX_[4079] + vX_[2242] * vX_[517] + vX_[2268] * vX_[569] +
+ vX_[8428] * vX_[152] + vX_[2754] * vX_[154] + vX_[8410] * vX_[125] + vX_[1616] * vX_[134] +
+ vX_[7997] * vX_[137] + vX_[283] * vX_[153] + vX_[2231] * vX_[142] + vX_[9197] * vX_[515] +
+ vX_[2268] * vX_[566] + vX_[8580] * vX_[96] + vX_[1072] * vX_[522] + vX_[8021] * x_in[18]) *
+ 0.207 -
+ (vX_[8402] * vX_[5604] + vX_[8408] * vX_[951] + vX_[1074] * vX_[698] + vX_[2899] * vX_[684] +
+ vX_[8415] * vX_[125] + vX_[1076] * vX_[271] + vX_[8424] * vX_[640] + vX_[9192] * vX_[160] +
+ vX_[1615] * vX_[675] + vX_[2240] * vX_[641] + vX_[8409] * vX_[568] + vX_[8421] * vX_[149] +
+ vX_[8635] * vX_[572] + vX_[8260] * vX_[622] + vX_[2234] * vX_[570] + vX_[8662] * vX_[523] +
+ vX_[2239] * vX_[140] + vX_[8615] * x_in[20]) +
+ vX_[8450] * vX_[1975] + vX_[8486] * vX_[810] + vX_[7971] * vX_[9] + (0 - vX_[8497]) * 0.3735 +
+ vX_[8497] * vX_[9] * -0.35 + vX_[2671] * 0.35 + vX_[2671] * vX_[75] * 0.08 + vX_[2671] * vX_[9] * 0.3735 +
+ vX_[8464] * vX_[75] * 0.3735 + vX_[3053] * vX_[75] * -0.207 + vX_[7980] * vX_[75] * 0.3735 +
+ vX_[7995] * 0.35 + (vX_[8057] * vX_[9] + vX_[7995] * vX_[75]) * 0.08 + vX_[7995] * vX_[9] * 0.3735 +
+ (vX_[2645] * vX_[9] + vX_[8414] * vX_[9]) * 0.207 + vX_[2656] * vX_[75] * 0.207 + vX_[1039] * vX_[75] +
+ vX_[7993] * vX_[9] + (vX_[7975] * vX_[9] - vX_[8489]) * 0.08 + vX_[8477] * vX_[75] * 0.35 +
+ vX_[9187] * vX_[75] * 0.33 + vX_[8460] * vX_[9] * 0.33 + (0 - vX_[9038]) * 0.08 +
+ vX_[1060] * vX_[75] * 0.35 + vX_[9020] * vX_[75] * 0.33 + vX_[1061] * vX_[9] * 0.33 +
+ vX_[8468] * vX_[9] * 0.33 + vX_[826] * vX_[75] * 0.33 + vX_[7982] * vX_[9] * 0.35 +
+ vX_[1856] * vX_[75] * 0.33 + vX_[1992] * 0.08 + vX_[1992] * vX_[75] * 0.35 +
+ (vX_[2834] * vX_[9] + vX_[8041] * vX_[75]) * 0.33 + vX_[8065] * vX_[9] * -0.33 + (0 - vX_[2840]) * 0.08 +
+ vX_[8731] * vX_[75] * 0.35 + vX_[1605] * vX_[75] * 0.33 + vX_[1778] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[8390] * vX_[4885] + vX_[8396] * vX_[4013] + vX_[8400] * vX_[5604] + vX_[8402] * vX_[4518] +
+ vX_[8418] * vX_[776] + vX_[8416] * vX_[4079] + vX_[8408] * vX_[957] + vX_[8403] * vX_[951] +
+ vX_[1074] * vX_[701] + vX_[8217] * vX_[697] + vX_[1541] * vX_[698] + vX_[2899] * vX_[142] +
+ vX_[2880] * vX_[684] + vX_[8415] * vX_[389] + vX_[2039] * vX_[125] + vX_[1848] * vX_[271] +
+ vX_[1650] * vX_[675] + vX_[8424] * vX_[643] + vX_[9192] * vX_[150] + vX_[9193] * vX_[160] +
+ vX_[1615] * vX_[674] + vX_[1546] * vX_[640] + vX_[2240] * vX_[642] + vX_[8409] * vX_[639] +
+ vX_[8404] * vX_[641] + vX_[8413] * vX_[568] + vX_[8421] * vX_[159] + vX_[8422] * vX_[149] +
+ vX_[8635] * vX_[575] + vX_[8411] * vX_[571] + vX_[1459] * vX_[572] + vX_[8260] * vX_[623] +
+ vX_[9195] * vX_[622] + vX_[2234] * vX_[519] + vX_[2449] * vX_[570] + vX_[9177] * vX_[523] +
+ vX_[2239] * vX_[138] +
+ (vX_[8387] * vX_[567] + vX_[2237] * vX_[105] + vX_[2000] * vX_[154] + vX_[9185] * vX_[129] +
+ vX_[1156] * vX_[143] + vX_[379] * vX_[128] + vX_[2233] * vX_[137] + vX_[1109] * vX_[125] +
+ vX_[2244] * vX_[142] + vX_[9194] * vX_[153] + vX_[8387] * vX_[563] + vX_[9168] * vX_[514] +
+ vX_[2000] * vX_[158] + vX_[1156] * vX_[511]) *
+ 0.207 +
+ vX_[2672] * x_in[23] + vX_[8021] * x_in[22] + vX_[2260] * x_in[20] + vX_[8615] * x_in[19] +
+ (vX_[8390] * vX_[4518] + vX_[8403] * vX_[776] + vX_[2239] * vX_[126] + vX_[2672] * x_in[19]) * 0.3735 +
+ (vX_[8390] * vX_[4368] + vX_[8434] * vX_[776] + vX_[2672] * x_in[18]) * -0.207 +
+ (vX_[8396] * vX_[5604] + vX_[8408] * vX_[4079] + vX_[8021] * x_in[20]) * -0.3735 + vX_[8494] * vX_[1986] +
+ vX_[8470] * vX_[1983] - vX_[1455] * vX_[75] + vX_[391] * vX_[75] + vX_[8465] * 0.3735 +
+ vX_[8465] * vX_[9] * 0.35 + (0 - vX_[8482]) * 0.207 + vX_[1487] * 0.35 + vX_[1487] * vX_[75] * 0.08 +
+ vX_[1487] * vX_[9] * 0.3735 + vX_[9018] * vX_[75] * 0.3735 + (0 - vX_[9018] * vX_[9]) * 0.08 -
+ vX_[1646] * vX_[75] + vX_[4549] * vX_[75] * 0.3735 + vX_[8369] * vX_[9] * 0.08 + vX_[8331] * 0.35 +
+ vX_[8331] * vX_[75] * 0.08 + vX_[8331] * vX_[9] * 0.3735 + vX_[1049] * vX_[9] + vX_[1121] * vX_[75] +
+ vX_[8485] * 0.08 + vX_[8485] * vX_[75] * 0.35 + vX_[8476] * vX_[75] * 0.33 + vX_[1338] * vX_[9] * -0.33 +
+ vX_[1125] * 0.08 + vX_[1125] * vX_[75] * 0.35 + vX_[1264] * vX_[75] * 0.33 + vX_[1265] * vX_[9] * -0.33 +
+ vX_[294] * 0.08 + vX_[294] * vX_[75] * 0.35 + vX_[326] * vX_[9] * 0.33 + vX_[335] * vX_[75] * -0.33 +
+ vX_[1393] * vX_[9] * 0.35 + (vX_[1418] * vX_[75] + vX_[1289] * vX_[9]) * 0.33 +
+ (vX_[1421] * vX_[9] + vX_[1427] * vX_[75]) * -0.33 + vX_[1330] * 0.08 + vX_[1330] * vX_[75] * 0.35 +
+ vX_[1287] * vX_[75] * 0.33 + vX_[1322] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[1074] = vX_[1853] - vX_[41];
+ vX_[9207] = vX_[8846] + vX_[9207];
+ vX_[9203] = vX_[8841] + vX_[9203];
+ vX_[8841] = 0 - vX_[9203];
+ vX_[8846] = vX_[1074] * vX_[1];
+ vX_[9185] = vX_[1074] * vX_[126];
+ vX_[9206] = vX_[8843] + vX_[9206];
+ vX_[9319] = vX_[4108] + vX_[9319];
+ vX_[8853] = vX_[8842] + vX_[8853];
+ vX_[801] = vX_[8833] + vX_[801];
+ vX_[8833] = vX_[801] * vX_[126] + vX_[8853] * vX_[1];
+ vX_[8842] = vX_[801] * vX_[139] + vX_[8853] * vX_[126];
+ vX_[8669] = vX_[4116] + vX_[8669];
+ vX_[737] = 0 - (vX_[8840] + vX_[737]) + vX_[8669];
+ vX_[8840] = vX_[1083] - vX_[8817];
+ vX_[664] = vX_[8836] + vX_[664];
+ vX_[9321] = vX_[3708] + vX_[9321];
+ vX_[3708] = 0 - vX_[9321];
+ vX_[8836] = vX_[8840] * vX_[1];
+ vX_[4116] = vX_[8840] * vX_[126];
+ vX_[4108] = vX_[8891] * 0.881 + (0 - vX_[8893]) * -0.0004405 + vX_[8895] * 8.81e-05;
+ vX_[8843] = vX_[8889] * -0.881;
+ vX_[8428] = vX_[8893] * 0.1104774;
+ vX_[2239] = vX_[8897] * 8.81e-05;
+ vX_[2237] = vX_[8843] - vX_[8428] + vX_[2239];
+ vX_[2240] = vX_[4108] * vX_[4053] + vX_[2237] * vX_[4070];
+ vX_[2242] = vX_[8881] * 3.146 + (0 - vX_[8888]) * 0.0825825;
+ vX_[9195] = vX_[8880] * -3.146;
+ vX_[8260] = vX_[8888] * 0.47422804;
+ vX_[8409] = vX_[9195] - vX_[8260];
+ vX_[1615] = vX_[2240] + vX_[2242] * vX_[4072] + vX_[8409] * vX_[4074];
+ vX_[2754] = vX_[8868] * 3.44 + vX_[8871] * 0.5824264;
+ vX_[8421] = 0 - vX_[2754];
+ vX_[2449] = vX_[8865] * 3.44 + (0 - vX_[8871]) * 0.1466472;
+ vX_[8662] = vX_[8826] + vX_[8865] * vX_[142] + vX_[8864] * vX_[125] + vX_[8868] * vX_[134] + vX_[8871] * vX_[515] +
+ vX_[8873] * vX_[566];
+ vX_[2234] = vX_[1615] + vX_[8421] * vX_[4085] + vX_[2449] * vX_[4092] + vX_[8662] * x_in[33];
+ vX_[8635] = 0 - vX_[4108];
+ vX_[2239] = 0 - vX_[8843] + vX_[8428] - vX_[2239];
+ vX_[8428] = vX_[8878] * -0.0004405 + vX_[8889] * 8.81e-05 + vX_[8897] * -0.000227999999999999;
+ vX_[8843] = vX_[8878] * 0.1104774 + vX_[8891] * 8.81e-05 + (0 - vX_[8895]) * 0.025713;
+ vX_[9177] = (0 - vX_[8889]) * -0.0004405;
+ vX_[8407] = (0 - vX_[8891]) * 0.1104774;
+ vX_[9198] = vX_[9177] + vX_[8407];
+ vX_[9198] = vX_[8635] * vX_[1994] + vX_[2239] * vX_[4061] + vX_[8428] * vX_[4053] + vX_[8843] * vX_[4070] +
+ vX_[9198] * vX_[4071] + vX_[9198] * vX_[4071];
+ vX_[1459] = vX_[8878] * 0.881 + (0 - vX_[8895]) * 0.1104774 + vX_[8897] * -0.0004405;
+ vX_[8411] =
+ -0.0168251785646079 + vX_[8889] * -0.00185880198235362 + vX_[8891] * 0.880992588508842 + vX_[8895] * 8.81e-05;
+ vX_[8635] = vX_[8635] * vX_[4071] + vX_[1459] * vX_[4070] + vX_[8411] * x_in[35];
+ vX_[8422] = 0 - vX_[1459];
+ vX_[9192] =
+ -4.21975478400367 + vX_[8889] * 0.414812462825713 + vX_[8891] * -0.00185880198235362 + vX_[8897] * -8.81e-05;
+ vX_[2239] = vX_[2239] * vX_[4071] + vX_[8422] * vX_[4053] - vX_[9192] * x_in[35];
+ vX_[8413] = 0 - vX_[2242];
+ vX_[8260] = 0 - vX_[9195] + vX_[8260];
+ vX_[9195] = vX_[8876] * 0.0825825 + (0 - vX_[8888]) * -0.000102 + vX_[8877] * -0.007418 + vX_[8886] * 0.002735;
+ vX_[8404] = vX_[8876] * 0.47422804 + vX_[8888] * 2.1e-05 + (0 - vX_[8877]) * 0.084376 + (0 - vX_[8886]) * -0.007418;
+ vX_[8424] = (0 - vX_[8880]) * 0.0825825;
+ vX_[1546] = (0 - vX_[8881]) * 0.47422804;
+ vX_[9193] = vX_[8877] * -0.000102;
+ vX_[1650] = (0 - vX_[8886]) * 2.1e-05;
+ vX_[1541] = vX_[8424] + vX_[1546] + vX_[9193] + vX_[1650];
+ vX_[1541] = vX_[9198] + vX_[8635] * vX_[764] + vX_[2239] * vX_[54] + vX_[8413] * vX_[4066] + vX_[8260] * vX_[4091] +
+ vX_[9195] * vX_[4072] + vX_[8404] * vX_[4074] + vX_[1541] * vX_[4082] + vX_[1541] * vX_[4082];
+ vX_[764] = vX_[8876] * 3.146 + (0 - vX_[8877]) * 0.47422804 + vX_[8886] * 0.0825825;
+ vX_[8217] = vX_[8824] + vX_[8880] * vX_[102] + vX_[8881] * vX_[101] + vX_[8877] * vX_[80] + vX_[8886] * vX_[74];
+ vX_[8413] =
+ vX_[8635] * vX_[7] + vX_[2239] * vX_[51] + vX_[8413] * vX_[4082] + vX_[764] * vX_[4074] + vX_[8217] * x_in[34];
+ vX_[8494] = 0 - vX_[764];
+ vX_[8486] = vX_[8822] + vX_[8880] * vX_[100] + vX_[8881] * vX_[102] + vX_[8877] * vX_[86] + vX_[8886] * vX_[85];
+ vX_[8260] = vX_[8635] * vX_[756] + vX_[2239] * vX_[7] + vX_[8260] * vX_[4082] + vX_[8494] * vX_[4072] -
+ vX_[8486] * x_in[34];
+ vX_[756] = 0 - vX_[2449];
+ vX_[8470] = vX_[8864] * 0.5824264 + (0 - vX_[8875]) * -0.022734 + vX_[8871] * -3.6e-05 + vX_[8873] * -0.133138;
+ vX_[8450] = vX_[8864] * 0.1466472 + vX_[8875] * 0.009466 + (0 - vX_[8871]) * -5.1e-05 + vX_[8873] * -0.022734;
+ vX_[8402] = (0 - vX_[8865]) * 0.5824264;
+ vX_[8400] = (0 - vX_[8868]) * 0.1466472;
+ vX_[8396] = (0 - vX_[8875]) * -3.6e-05;
+ vX_[8390] = (0 - vX_[8873]) * -5.1e-05;
+ vX_[1479] = vX_[8402] + vX_[8400] + vX_[8396] - vX_[8390];
+ vX_[122] = vX_[8831] + vX_[8865] * vX_[158] + vX_[8864] * vX_[514] + vX_[8868] * vX_[566] + vX_[8871] * vX_[565] +
+ vX_[8873] * vX_[122];
+ vX_[1479] = vX_[1541] + vX_[8413] * vX_[752] + vX_[8260] * vX_[93] + vX_[2754] * vX_[4095] + vX_[756] * vX_[3880] +
+ vX_[8470] * vX_[4085] + vX_[8450] * vX_[4092] + vX_[1479] * vX_[4104] + vX_[1479] * vX_[4104] +
+ vX_[122] * x_in[33];
+ vX_[1079] = vX_[682] - vX_[8817];
+ vX_[1496] = vX_[1079] * vX_[126] + vX_[664] * vX_[1];
+ vX_[2022] = vX_[1079] * vX_[139] + vX_[664] * vX_[126];
+ vX_[1583] = vX_[2022] + vX_[8836];
+ vX_[1470] = vX_[1496] * vX_[139] + vX_[1583] * vX_[126] + vX_[4116] * vX_[1];
+ vX_[420] = 0 - vX_[1470];
+ vX_[1093] = vX_[8817] + vX_[1496] * vX_[126] + vX_[8836] * vX_[1];
+ vX_[1510] = 0 - vX_[1093];
+ vX_[1515] = vX_[8817] + vX_[2022] * vX_[139] + vX_[4116] * vX_[126];
+ vX_[731] = vX_[8839] + vX_[731] - vX_[9319];
+ vX_[8839] = vX_[8669] * vX_[126] + vX_[9319] * vX_[1];
+ vX_[1078] = 0 - (vX_[731] * vX_[139] + vX_[737] * vX_[126]) + vX_[8839];
+ vX_[1291] = vX_[1078] + vX_[1093] * vX_[127];
+ vX_[4932] = 0 - vX_[1291];
+ vX_[1117] = vX_[8669] * vX_[139] + vX_[9319] * vX_[126];
+ vX_[1638] = vX_[731] * vX_[126] + vX_[737] * vX_[1] + vX_[1117];
+ vX_[9023] = 0 - vX_[1515];
+ vX_[1275] = vX_[1638] + vX_[1470] * vX_[127] + vX_[9023] * vX_[27];
+ vX_[718] = vX_[8838] + vX_[718];
+ vX_[8838] = vX_[9206] * vX_[126] + vX_[718] * vX_[139];
+ vX_[1103] = vX_[8838] * vX_[126] + vX_[8842] * vX_[1];
+ vX_[725] = vX_[3689] + vX_[725];
+ vX_[9321] = 0 - vX_[9321];
+ vX_[3689] = vX_[725] * vX_[139] + vX_[9321] * vX_[126];
+ vX_[1112] = 0 - vX_[3689];
+ vX_[1269] = vX_[1103] + vX_[1112] * vX_[27] + vX_[1510] * vX_[141];
+ vX_[1094] = 0 - vX_[1269];
+ vX_[1317] = vX_[9206] * vX_[1] + vX_[718] * vX_[126];
+ vX_[1315] = vX_[1317] * vX_[139] + vX_[8833] * vX_[126];
+ vX_[1089] = vX_[725] * vX_[126] + vX_[3708] * vX_[1];
+ vX_[1602] = 0 - vX_[1089];
+ vX_[9046] = vX_[1315] + vX_[1602] * vX_[127] + vX_[1515] * vX_[141];
+ vX_[1464] = vX_[1317] * vX_[126] + vX_[8833] * vX_[1];
+ vX_[1070] = vX_[1464] + vX_[3689] * vX_[127];
+ vX_[1075] = vX_[8838] * vX_[139] + vX_[8842] * vX_[126];
+ vX_[1068] = vX_[1075] + vX_[1089] * vX_[27] + vX_[420] * vX_[141];
+ vX_[1067] = 0 - vX_[1070] + vX_[1068];
+ vX_[1062] = 0 - vX_[1470];
+ vX_[547] = 0 - vX_[1093];
+ vX_[1510] = vX_[420] * vX_[569] + vX_[1510] * vX_[517] + vX_[1515] * vX_[105] + vX_[4932] * vX_[142] +
+ vX_[1275] * vX_[153] + vX_[1094] * vX_[134] + vX_[9046] * vX_[128] + vX_[1067] * vX_[125] +
+ vX_[1062] * vX_[566] + vX_[1470] * vX_[563] + vX_[547] * vX_[516] + vX_[1515] * vX_[520];
+ vX_[420] = vX_[8864] * -3.44;
+ vX_[520] = vX_[8875] * 0.1466472;
+ vX_[516] = vX_[8873] * 0.5824264;
+ vX_[1502] = 0 - vX_[420] + vX_[520] - vX_[516];
+ vX_[2050] = vX_[8820] + vX_[8865] * vX_[153] + vX_[8864] * vX_[128] + vX_[8868] * vX_[125] + vX_[8871] * vX_[563] +
+ vX_[8873] * vX_[514];
+ vX_[756] = vX_[8413] * vX_[751] + vX_[8260] * vX_[75] + vX_[1502] * vX_[4085] + vX_[756] * vX_[4104] -
+ vX_[2050] * x_in[33];
+ vX_[8817] = vX_[682] + vX_[1083] + vX_[8817] - vX_[1093] - vX_[1515];
+ vX_[1083] = 0 - vX_[8817];
+ vX_[8839] = vX_[8839] + vX_[1083] * vX_[127];
+ vX_[1117] = vX_[1117] + vX_[8817] * vX_[27];
+ vX_[682] = 0 - vX_[1275];
+ vX_[2051] = 0 - vX_[9046];
+ vX_[9320] = vX_[9323] + vX_[9320] + vX_[718] + vX_[8853] - vX_[1464] - vX_[1075];
+ vX_[1068] = vX_[9320] - vX_[1068];
+ vX_[9323] = 0 - vX_[3689];
+ vX_[2935] = 0 - vX_[1470];
+ vX_[8994] = 0 - vX_[1515];
+ vX_[8967] = vX_[9209] - vX_[41];
+ vX_[9188] = vX_[8844] + vX_[9188];
+ vX_[8844] = vX_[8967] * vX_[126] + vX_[9207] * vX_[1];
+ vX_[1342] = vX_[8967] * vX_[139] + vX_[9207] * vX_[126];
+ vX_[8893] = vX_[8889] * 0.1104774 + vX_[8891] * -0.0004405 + vX_[8893] * 0.025941;
+ vX_[3192] = (0 - vX_[8878]) * 8.81e-05;
+ vX_[8407] = vX_[3192] + vX_[8407];
+ vX_[8897] = vX_[8878] * -0.0004405 + vX_[8889] * -8.81e-05 + vX_[8897] * 0.000468;
+ vX_[8407] = vX_[4108] * vX_[4062] + vX_[8422] * vX_[4061] + vX_[8428] * vX_[4071] + vX_[8893] * vX_[4070] +
+ vX_[8407] * vX_[4053] + vX_[8407] * vX_[4053] + vX_[8897] * x_in[35];
+ vX_[3192] = vX_[3192] + vX_[9177];
+ vX_[8895] = vX_[8878] * -0.1104774 + vX_[8891] * 8.81e-05 + vX_[8895] * 0.026409;
+ vX_[3192] = vX_[2237] * vX_[4062] + vX_[1459] * vX_[1994] + vX_[8843] * vX_[4071] + vX_[8893] * vX_[4053] +
+ vX_[3192] * vX_[4070] + vX_[3192] * vX_[4070] - vX_[8895] * x_in[35];
+ vX_[8893] = vX_[8880] * 0.47422804 + vX_[8881] * 0.0825825 + vX_[8888] * 0.081641 + (0 - vX_[8877]) * 2.1e-05 +
+ vX_[8886] * -0.000102;
+ vX_[1459] = (0 - vX_[8888]) * -0.007418;
+ vX_[1650] = vX_[1546] + vX_[1459] - vX_[1650];
+ vX_[113] = vX_[8816] + vX_[8876] * vX_[69] + vX_[8880] * vX_[85] + vX_[8881] * vX_[74] + vX_[8877] * vX_[117] +
+ vX_[8886] * vX_[113];
+ vX_[1650] = vX_[2240] * -0.35 + vX_[8407] * vX_[7] + vX_[3192] * vX_[51] + vX_[2242] * vX_[4064] +
+ vX_[8494] * vX_[4091] + vX_[9195] * vX_[4082] + vX_[8893] * vX_[4074] + vX_[1650] * vX_[4072] +
+ vX_[1650] * vX_[4072] + vX_[113] * x_in[34];
+ vX_[1459] = vX_[8424] - vX_[1459] - vX_[9193];
+ vX_[111] = vX_[8814] + vX_[8876] * vX_[82] + vX_[8880] * vX_[86] + vX_[8881] * vX_[80] + vX_[8877] * vX_[111] +
+ vX_[8886] * vX_[117];
+ vX_[1459] = vX_[8407] * vX_[52] + vX_[3192] * vX_[7] + vX_[8409] * vX_[4064] + vX_[764] * vX_[4066] +
+ vX_[8404] * vX_[4082] + vX_[8893] * vX_[4072] + vX_[1459] * vX_[4074] + vX_[1459] * vX_[4074] -
+ vX_[111] * x_in[34];
+ vX_[516] = vX_[420] - vX_[520] + vX_[516];
+ vX_[520] = vX_[8865] * 0.1466472 + vX_[8868] * 0.5824264 + vX_[8875] * -5.1e-05 + (0 - vX_[8871]) * -0.123672 +
+ (0 - vX_[8873]) * -3.6e-05;
+ vX_[420] = vX_[8871] * -0.022734;
+ vX_[8396] = vX_[8402] - vX_[8396] - vX_[420];
+ vX_[565] = vX_[8811] + vX_[8865] * vX_[96] + vX_[8864] * vX_[563] + vX_[8868] * vX_[515] + vX_[8871] * vX_[513] +
+ vX_[8873] * vX_[565];
+ vX_[8396] = vX_[1650] * vX_[4] + vX_[1459] * vX_[75] + vX_[516] * vX_[4095] + vX_[2449] * vX_[4096] +
+ vX_[520] * vX_[4085] + vX_[8450] * vX_[4104] + vX_[8396] * vX_[4092] + vX_[8396] * vX_[4092] -
+ vX_[565] * x_in[33];
+ vX_[8924] = vX_[8924] * vX_[1986];
+ vX_[8925] = vX_[8925] * vX_[1986];
+ vX_[8450] = vX_[8924] * vX_[7] + vX_[8925] * vX_[51];
+ vX_[8926] = vX_[8926] * vX_[1986];
+ vX_[8896] = vX_[8896] * vX_[1975];
+ vX_[2449] = vX_[8896] * vX_[7];
+ vX_[513] = vX_[8896] * vX_[51];
+ vX_[8912] = vX_[8912] * vX_[1993];
+ vX_[8402] = vX_[8912] * vX_[51];
+ vX_[8898] = vX_[8898] * vX_[1975];
+ vX_[8893] = vX_[8898] * vX_[7];
+ vX_[764] = 0 - vX_[8893];
+ vX_[8404] = vX_[8898] * vX_[51];
+ vX_[8409] = 0 - vX_[513];
+ vX_[4064] = 0 - vX_[8912];
+ vX_[117] = vX_[4064] * vX_[7];
+ vX_[8913] = vX_[8913] * vX_[1993];
+ vX_[9193] = 0 - vX_[8913];
+ vX_[8424] = vX_[9193] * vX_[51];
+ vX_[8494] = vX_[8913] * vX_[7];
+ vX_[8900] = vX_[8900] * vX_[1983];
+ vX_[9195] = vX_[8924] + vX_[8900];
+ vX_[8901] = vX_[8901] * vX_[1983];
+ vX_[2242] = 0 - vX_[8925] - vX_[8901];
+ vX_[2240] = vX_[9195] * vX_[51] + vX_[2242] * vX_[7];
+ vX_[1546] = vX_[8900] * vX_[7] + vX_[8901] * vX_[51];
+ vX_[8918] = vX_[8918] * vX_[1993] + vX_[8906] * vX_[1975];
+ vX_[8906] = 0 - vX_[8918];
+ vX_[8843] = 0 - vX_[8918];
+ vX_[2237] = vX_[8843] * vX_[7];
+ vX_[4062] = vX_[8918] * vX_[51];
+ vX_[893] = vX_[8919] * vX_[893] + vX_[9127] * vX_[845] + vX_[1978] * vX_[877];
+ vX_[877] = 0 - vX_[893];
+ vX_[985] = vX_[8919] * vX_[985] + vX_[9127] * vX_[878] + vX_[1978] * vX_[839];
+ vX_[839] = vX_[877] * x_in[18] + vX_[985] * x_in[19];
+ vX_[878] = 0 - vX_[839];
+ vX_[845] = 0 - vX_[839];
+ vX_[4070] = vX_[845] * vX_[7];
+ vX_[4071] = vX_[839] * vX_[51];
+ vX_[8919] = vX_[8919] * vX_[875] + vX_[9127] * vX_[894] + vX_[1978] * vX_[986];
+ jac[1259] = vX_[8486] * vX_[3967] + vX_[8217] * vX_[4066] + vX_[111] * vX_[3980] + vX_[113] * vX_[4072] +
+ vX_[1541] + vX_[8919] * vX_[899] + vX_[893] * vX_[851] + vX_[985] * vX_[884];
+ jac[1295] = vX_[9192] * vX_[1988] + vX_[8411] * vX_[1994] + vX_[8895] * vX_[988] + vX_[8897] * vX_[4053] +
+ vX_[9198] + vX_[8919] * vX_[908] + vX_[893] * vX_[862] + vX_[985] * vX_[881];
+ vX_[8895] = vX_[8919] * x_in[35];
+ vX_[8897] = vX_[8895] * vX_[7];
+ vX_[9192] = vX_[8895] * vX_[51];
+ vX_[8411] = vX_[8919] * x_in[34];
+ vX_[9198] = vX_[8411] * vX_[51];
+ vX_[1988] = vX_[893] * x_in[33];
+ vX_[988] = vX_[8411] * vX_[7];
+ vX_[1994] = vX_[1988] * vX_[7];
+ vX_[4053] = vX_[1988] * vX_[51];
+ vX_[940] = vX_[8930] * vX_[940];
+ vX_[908] = 0 - vX_[940];
+ vX_[881] = 0 - vX_[940];
+ vX_[862] = vX_[881] * vX_[7];
+ vX_[111] = vX_[940] * vX_[51];
+ vX_[9203] = 0 - vX_[9203];
+ vX_[113] = vX_[1342] + vX_[8846];
+ vX_[8486] = 0 - vX_[8839];
+ vX_[8217] = 0 - vX_[1117];
+ vX_[9320] = 0 - vX_[9320] + vX_[1070];
+ vX_[1070] = 0 - vX_[1089];
+ vX_[8890] = vX_[8890] * vX_[1975];
+ vX_[1541] = vX_[8890] * vX_[51];
+ vX_[8892] = vX_[8892] * vX_[1975];
+ vX_[3967] = vX_[8892] * vX_[7];
+ vX_[8894] = vX_[8894] * vX_[1975];
+ vX_[8911] = vX_[8911] * vX_[1993];
+ vX_[8927] = vX_[8927] * vX_[1986];
+ vX_[3980] = vX_[8927] * vX_[7];
+ vX_[899] = vX_[8927] * vX_[51];
+ vX_[8916] = vX_[8916] * vX_[810];
+ vX_[884] = vX_[8916] * vX_[51];
+ vX_[8928] = vX_[8928] * vX_[1986];
+ vX_[851] = vX_[8928] * vX_[7];
+ vX_[1978] = 0 - vX_[851];
+ vX_[9127] = vX_[8928] * vX_[51];
+ vX_[875] = 0 - vX_[8890] - vX_[8916];
+ vX_[8917] = vX_[8917] * vX_[810];
+ vX_[986] = 0 - vX_[8892] - vX_[8917];
+ vX_[894] = vX_[875] * vX_[7] + vX_[986] * vX_[51];
+ vX_[8891] = vX_[8917] * vX_[7];
+ vX_[8914] = vX_[8914] * vX_[1993] + vX_[8905] * vX_[1986];
+ vX_[8905] = vX_[8914] * vX_[7];
+ vX_[8878] = vX_[8914] * vX_[51];
+ vX_[9177] = 0 - vX_[985];
+ vX_[8422] = vX_[8919] * x_in[18] + vX_[9177] * x_in[20];
+ vX_[8428] = vX_[8422] * vX_[7];
+ vX_[4108] = vX_[8422] * vX_[51];
+ vX_[4061] = vX_[8919] * x_in[33];
+ vX_[8889] = vX_[893] * x_in[35];
+ vX_[8303] = 0 - vX_[8889];
+ vX_[6489] = vX_[8303] * vX_[7];
+ vX_[258] = vX_[8889] * vX_[51];
+ vX_[267] = vX_[893] * x_in[34];
+ vX_[8559] = 0 - vX_[267];
+ vX_[4248] = vX_[4061] * vX_[7];
+ vX_[6469] = 0 - vX_[267];
+ vX_[6501] = vX_[6469] * vX_[7];
+ vX_[2957] = vX_[4061] * vX_[51];
+ vX_[7521] = vX_[267] * vX_[51];
+ vX_[929] = vX_[8930] * vX_[929];
+ vX_[6464] = vX_[929] * vX_[7];
+ vX_[6507] = vX_[929] * vX_[51];
+ jac[575] =
+ 0 -
+ (vX_[8820] * vX_[4013] + vX_[8811] * vX_[4518] + vX_[8845] * vX_[776] + vX_[8832] * vX_[957] +
+ vX_[1074] * vX_[699] + vX_[9207] * vX_[701] + vX_[8841] * vX_[142] + vX_[8846] * vX_[389] +
+ vX_[9185] * vX_[125] + vX_[9206] * vX_[674] + vX_[9319] * vX_[150] + vX_[8853] * vX_[643] +
+ vX_[8833] * vX_[642] + vX_[8842] * vX_[639] + vX_[737] * vX_[159] + vX_[8840] * vX_[573] +
+ vX_[664] * vX_[575] + vX_[3708] * vX_[623] + vX_[8836] * vX_[519] + vX_[4116] * vX_[570] +
+ vX_[2234] * x_in[22] + vX_[1479] * x_in[19] +
+ (vX_[8820] * vX_[5604] + vX_[8837] * vX_[776] + vX_[1510] * vX_[139] + vX_[2234] * x_in[20]) * -0.3735 -
+ (vX_[8826] * vX_[4885] + vX_[8847] * vX_[4079] + vX_[756] * x_in[23]) +
+ (vX_[8826] * vX_[4518] + vX_[8832] * vX_[4079] + vX_[756] * x_in[19]) * -0.3735 +
+ (vX_[8826] * vX_[4368] + vX_[8863] * vX_[4079] + vX_[1112] * vX_[517] + vX_[1089] * vX_[569] +
+ vX_[8817] * vX_[152] + vX_[9023] * vX_[154] + vX_[8839] * vX_[125] + vX_[1117] * vX_[134] +
+ vX_[682] * vX_[137] + vX_[2051] * vX_[153] + vX_[1068] * vX_[142] + vX_[9323] * vX_[515] +
+ vX_[1089] * vX_[566] + vX_[2935] * vX_[96] + vX_[8994] * vX_[522] + vX_[756] * x_in[18]) *
+ 0.207 -
+ (vX_[8831] * vX_[5604] + vX_[8837] * vX_[951] + vX_[8967] * vX_[698] + vX_[9188] * vX_[684] +
+ vX_[8844] * vX_[125] + vX_[1342] * vX_[271] + vX_[801] * vX_[640] + vX_[8669] * vX_[160] +
+ vX_[718] * vX_[675] + vX_[1317] * vX_[641] + vX_[8838] * vX_[568] + vX_[731] * vX_[149] +
+ vX_[1079] * vX_[572] + vX_[725] * vX_[622] + vX_[1496] * vX_[570] + vX_[2022] * vX_[523] +
+ vX_[1510] * vX_[140] + vX_[8396] * x_in[20]) +
+ vX_[8879] * vX_[1975] + vX_[8915] * vX_[810] + vX_[8450] * vX_[9] + (0 - vX_[8926]) * 0.3735 +
+ vX_[8926] * vX_[9] * -0.35 + vX_[2449] * 0.35 + vX_[2449] * vX_[75] * 0.08 + vX_[2449] * vX_[9] * 0.3735 +
+ vX_[513] * vX_[75] * 0.3735 + vX_[8402] * vX_[75] * -0.207 + vX_[764] * vX_[75] * 0.3735 +
+ vX_[8404] * 0.35 + (vX_[8409] * vX_[9] + vX_[8404] * vX_[75]) * 0.08 + vX_[8404] * vX_[9] * 0.3735 +
+ (vX_[117] * vX_[9] + vX_[8424] * vX_[9]) * 0.207 + vX_[8494] * vX_[75] * 0.207 + vX_[2240] * vX_[75] +
+ vX_[1546] * vX_[9] + (vX_[8893] * vX_[9] - vX_[8918]) * 0.08 + vX_[8906] * vX_[75] * 0.35 +
+ vX_[2237] * vX_[75] * 0.33 + vX_[4062] * vX_[9] * 0.33 + (0 - vX_[839]) * 0.08 + vX_[878] * vX_[75] * 0.35 +
+ vX_[4070] * vX_[75] * 0.33 + vX_[4071] * vX_[9] * 0.33 + vX_[8897] * vX_[9] * 0.33 +
+ vX_[9192] * vX_[75] * 0.33 + vX_[8411] * vX_[9] * 0.35 + vX_[9198] * vX_[75] * 0.33 + vX_[1988] * 0.08 +
+ vX_[1988] * vX_[75] * 0.35 + (vX_[988] * vX_[9] + vX_[1994] * vX_[75]) * 0.33 + vX_[4053] * vX_[9] * -0.33 +
+ (0 - vX_[940]) * 0.08 + vX_[908] * vX_[75] * 0.35 + vX_[862] * vX_[75] * 0.33 + vX_[111] * vX_[9] * 0.33) *
+ vX_[1318] +
+ (vX_[8820] * vX_[4885] + vX_[8826] * vX_[4013] + vX_[8811] * vX_[5604] + vX_[8831] * vX_[4518] +
+ vX_[8847] * vX_[776] + vX_[8845] * vX_[4079] + vX_[8837] * vX_[957] + vX_[8832] * vX_[951] +
+ vX_[8967] * vX_[701] + vX_[1074] * vX_[697] + vX_[9207] * vX_[698] + vX_[9188] * vX_[142] +
+ vX_[9203] * vX_[684] + vX_[8844] * vX_[389] + vX_[113] * vX_[125] + vX_[9185] * vX_[271] +
+ vX_[9206] * vX_[675] + vX_[801] * vX_[643] + vX_[8669] * vX_[150] + vX_[9319] * vX_[160] +
+ vX_[718] * vX_[674] + vX_[8853] * vX_[640] + vX_[1317] * vX_[642] + vX_[8838] * vX_[639] +
+ vX_[8833] * vX_[641] + vX_[8842] * vX_[568] + vX_[731] * vX_[159] + vX_[737] * vX_[149] +
+ vX_[1079] * vX_[575] + vX_[8840] * vX_[571] + vX_[664] * vX_[572] + vX_[725] * vX_[623] +
+ vX_[9321] * vX_[622] + vX_[1496] * vX_[519] + vX_[1583] * vX_[570] + vX_[4116] * vX_[523] +
+ vX_[1510] * vX_[138] +
+ (vX_[3689] * vX_[567] + vX_[1602] * vX_[105] + vX_[1470] * vX_[154] + vX_[1083] * vX_[129] +
+ vX_[1093] * vX_[143] + vX_[8486] * vX_[128] + vX_[1291] * vX_[137] + vX_[8217] * vX_[125] +
+ vX_[1269] * vX_[142] + vX_[9320] * vX_[153] + vX_[3689] * vX_[563] + vX_[1070] * vX_[514] +
+ vX_[1470] * vX_[158] + vX_[1093] * vX_[511]) *
+ 0.207 +
+ vX_[2234] * x_in[23] + vX_[756] * x_in[22] + vX_[1479] * x_in[20] + vX_[8396] * x_in[19] +
+ (vX_[8820] * vX_[4518] + vX_[8832] * vX_[776] + vX_[1510] * vX_[126] + vX_[2234] * x_in[19]) * 0.3735 +
+ (vX_[8820] * vX_[4368] + vX_[8863] * vX_[776] + vX_[2234] * x_in[18]) * -0.207 +
+ (vX_[8826] * vX_[5604] + vX_[8837] * vX_[4079] + vX_[756] * x_in[20]) * -0.3735 + vX_[8923] * vX_[1986] +
+ vX_[8899] * vX_[1983] - vX_[1541] * vX_[75] + vX_[3967] * vX_[75] + vX_[8894] * 0.3735 +
+ vX_[8894] * vX_[9] * 0.35 + (0 - vX_[8911]) * 0.207 + vX_[3980] * 0.35 + vX_[3980] * vX_[75] * 0.08 +
+ vX_[3980] * vX_[9] * 0.3735 + vX_[899] * vX_[75] * 0.3735 + (0 - vX_[899] * vX_[9]) * 0.08 -
+ vX_[884] * vX_[75] + vX_[1978] * vX_[75] * 0.3735 + vX_[851] * vX_[9] * 0.08 + vX_[9127] * 0.35 +
+ vX_[9127] * vX_[75] * 0.08 + vX_[9127] * vX_[9] * 0.3735 + vX_[894] * vX_[9] + vX_[8891] * vX_[75] +
+ vX_[8914] * 0.08 + vX_[8914] * vX_[75] * 0.35 + vX_[8905] * vX_[75] * 0.33 + vX_[8878] * vX_[9] * -0.33 +
+ vX_[8422] * 0.08 + vX_[8422] * vX_[75] * 0.35 + vX_[8428] * vX_[75] * 0.33 + vX_[4108] * vX_[9] * -0.33 +
+ vX_[4061] * 0.08 + vX_[4061] * vX_[75] * 0.35 + vX_[6489] * vX_[9] * 0.33 + vX_[258] * vX_[75] * -0.33 +
+ vX_[8559] * vX_[9] * 0.35 + (vX_[4248] * vX_[75] + vX_[6501] * vX_[9]) * 0.33 +
+ (vX_[2957] * vX_[9] + vX_[7521] * vX_[75]) * -0.33 + vX_[929] * 0.08 + vX_[929] * vX_[75] * 0.35 +
+ vX_[6464] * vX_[75] * 0.33 + vX_[6507] * vX_[9] * -0.33) *
+ vX_[1134];
+ vX_[8989] = vX_[4068] * vX_[126] + vX_[574] * vX_[1] + vX_[1968] * vX_[141] + vX_[8982] * vX_[127] +
+ vX_[8989] * vX_[27] + vX_[735] * vX_[3839];
+ vX_[8982] = 0 - vX_[8989];
+ vX_[1288] = 0 - (vX_[732] * vX_[139] + vX_[1316] * vX_[126] + vX_[1082] * vX_[1] + vX_[576] * vX_[27] +
+ vX_[1288] * vX_[127] + vX_[8988] * vX_[141] + vX_[700] * vX_[3839] + vX_[629] * vX_[3820]);
+ vX_[797] = vX_[740] + vX_[797] * vX_[139] + vX_[1082] * vX_[126];
+ vX_[529] = vX_[797] + vX_[529] * vX_[27] + vX_[7315] * vX_[141] + vX_[629] * vX_[3839];
+ vX_[7315] = 0 - vX_[529];
+ vX_[3716] =
+ vX_[1153] + vX_[3716] * vX_[27] + vX_[6266] * vX_[141] * 2. + vX_[629] * vX_[3911] + vX_[531] * vX_[3839];
+ vX_[6266] = 0 - vX_[3716];
+ vX_[8957] = vX_[8960] + vX_[3234] * vX_[27] + vX_[8957] * vX_[141] + vX_[629] * vX_[3894] + vX_[557] * vX_[3839];
+ vX_[8960] = 0 - vX_[8957];
+ vX_[3234] = (vX_[7315] * vX_[88] + vX_[6266] * vX_[148] + vX_[8960] * vX_[157]) * 1 / vX_[123];
+ vX_[7315] = vX_[621] * vX_[4055] + vX_[8982] * vX_[136] + vX_[1288] * vX_[124] + vX_[7315] * vX_[151] + vX_[3234];
+ vX_[2924] = vX_[2530] + vX_[8992] * vX_[127] + vX_[2924] * vX_[27] * 2. + vX_[735] * vX_[3894];
+ vX_[2530] = vX_[2924] * vX_[76] + vX_[8957] * vX_[4];
+ vX_[1153] = vX_[2924] * vX_[4] + vX_[8957] * vX_[75];
+ vX_[2920] = vX_[220] + vX_[2920] * vX_[27] + vX_[8991] * vX_[127] * 2. + vX_[735] * vX_[3911];
+ vX_[3712] = 0 - (0 - (vX_[4068] * vX_[139] + vX_[770] * vX_[126]) + vX_[1159] * vX_[141] + vX_[1111] * vX_[27] +
+ vX_[3712] * vX_[127] + vX_[735] * vX_[3820]);
+ vX_[732] = vX_[740] + vX_[732] * vX_[126] + vX_[739] * vX_[1];
+ vX_[1290] = 0 - (vX_[732] + vX_[1290] * vX_[127] + vX_[8962] * vX_[141] + vX_[700] * vX_[3820]);
+ vX_[8964] =
+ 0 - (vX_[8964] + vX_[676] * vX_[127] + vX_[8992] * vX_[141] + vX_[700] * vX_[3911] + vX_[531] * vX_[3820]);
+ vX_[8976] =
+ vX_[1306] + vX_[8976] * vX_[127] + vX_[8954] * vX_[141] * 2. + vX_[700] * vX_[3894] + vX_[557] * vX_[3820];
+ vX_[1306] = 0 - vX_[8976];
+ vX_[1288] =
+ (vX_[1290] * vX_[97] + vX_[1288] * vX_[88] + vX_[8964] * vX_[148] + vX_[1306] * vX_[157]) * 1 / vX_[123];
+ vX_[1290] = 0 - vX_[2920] + vX_[733] * vX_[4055] + vX_[3712] * vX_[136] + vX_[1290] * vX_[124] + vX_[1288];
+ vX_[700] = 0 - vX_[2924];
+ vX_[8992] = vX_[8992] + vX_[531] * vX_[3894] + vX_[557] * vX_[3911];
+ vX_[676] = 0 - vX_[8992];
+ vX_[8954] = vX_[8954] + vX_[557] * vX_[3894];
+ vX_[8962] = 0 - vX_[8954];
+ vX_[739] = vX_[8962] * vX_[157] * 1 / vX_[123];
+ vX_[8962] = vX_[744] * vX_[4055] + vX_[700] * vX_[136] + vX_[1306] * vX_[124] + vX_[8960] * vX_[151] +
+ vX_[676] * vX_[512] + vX_[8962] * vX_[521] + vX_[739];
+ vX_[1306] = 0 - vX_[2920];
+ vX_[8991] = vX_[8991] + vX_[531] * vX_[3911];
+ vX_[8960] = 0 - vX_[8991];
+ vX_[676] = (vX_[8960] * vX_[148] + vX_[676] * vX_[157]) * 1 / vX_[123];
+ vX_[8960] = vX_[544] * vX_[4055] + vX_[1306] * vX_[136] + vX_[8964] * vX_[124] + vX_[6266] * vX_[151] +
+ vX_[8960] * vX_[512] + vX_[676];
+ vX_[732] = vX_[1768] + vX_[1753] + vX_[740] - vX_[732] - vX_[797] + vX_[1180] * vX_[127] + vX_[1399] * vX_[27];
+ vX_[797] = vX_[732] - vX_[529];
+ vX_[1399] = vX_[797] * vX_[76] + vX_[8989] * vX_[4];
+ vX_[1180] = vX_[797] * vX_[4] + vX_[8989] * vX_[75];
+ vX_[732] = 0 - vX_[732];
+ vX_[1306] =
+ (vX_[732] * vX_[135] + vX_[3712] * vX_[97] + vX_[8982] * vX_[88] + vX_[1306] * vX_[148] + vX_[700] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[732] = vX_[734] * vX_[4055] + vX_[732] * vX_[136] + vX_[1306];
+ vX_[700] = vX_[7315] * vX_[4] + vX_[732] * vX_[76];
+ vX_[3712] = vX_[7315] * vX_[75] + vX_[732] * vX_[4];
+ vX_[8976] = vX_[3716] - vX_[8976];
+ vX_[1306] = 0 - vX_[734] * vX_[3821] - vX_[733] * vX_[4093] - vX_[621] * vX_[780] - vX_[625] * vX_[3741] +
+ vX_[625] * vX_[4055] - vX_[544] * vX_[771] - vX_[744] * vX_[4041] - vX_[1306] * vX_[136] -
+ vX_[1288] * vX_[124] - vX_[3234] * vX_[151] - vX_[676] * vX_[512] - vX_[739] * vX_[521];
+ vX_[676] = 0 - vX_[8954] + vX_[1306];
+ vX_[739] = vX_[676] * vX_[76] + vX_[8962] * vX_[4];
+ vX_[1288] = vX_[676] * vX_[4] + vX_[8962] * vX_[75];
+ vX_[3234] = vX_[739] * vX_[4] + vX_[1288] * vX_[76];
+ vX_[744] = vX_[8954] + vX_[739] * vX_[76];
+ vX_[544] = vX_[8954] + vX_[1288] * vX_[4];
+ vX_[1306] = vX_[8991] + vX_[8954] + vX_[1306] - vX_[744] - vX_[544];
+ vX_[8991] = 0 - vX_[1306];
+ vX_[8954] = vX_[2920] * vX_[76] + vX_[3716] * vX_[4];
+ vX_[625] = vX_[8954] + vX_[8991] * vX_[89];
+ vX_[621] = 0 - vX_[625];
+ vX_[8954] = 0 - (vX_[8976] * vX_[4] + vX_[1290] * vX_[75]) + vX_[8954];
+ vX_[733] = vX_[2920] * vX_[4] + vX_[3716] * vX_[75];
+ vX_[734] = vX_[733] + vX_[1306] * vX_[93];
+ vX_[8982] = 0 - vX_[734];
+ vX_[740] = 0 - (vX_[8992] * vX_[4] + vX_[8960] * vX_[75]) + vX_[8992] * vX_[4] * 2.;
+ vX_[1753] = 0 - vX_[740];
+ vX_[1768] = vX_[8992] * vX_[76] + vX_[8960] * vX_[4] + vX_[8992] * vX_[75] * 2.;
+ vX_[8964] = 0 - vX_[1768];
+ vX_[954] = vX_[954] * vX_[1993];
+ vX_[953] = vX_[953] * vX_[1993] + vX_[811] * vX_[975];
+ vX_[811] = 0 - vX_[953];
+ vX_[813] = vX_[813] * vX_[975];
+ vX_[6266] = 0 - vX_[983];
+ vX_[770] = vX_[6266] * x_in[19] + vX_[775] * x_in[20];
+ vX_[4068] = vX_[8951] * x_in[35];
+ vX_[1111] = 0 - vX_[4068];
+ vX_[1159] = vX_[8951] * x_in[34];
+ vX_[220] = 0 - vX_[1159];
+ vX_[1027] = vX_[807] * vX_[1975] + vX_[1027] * vX_[1986];
+ vX_[1028] = vX_[1028] * vX_[937];
+ vX_[807] = sin(x_in[16]);
+ vX_[1082] = 0 - vX_[544];
+ vX_[733] = vX_[8976] * vX_[76] + vX_[1290] * vX_[4] + vX_[733];
+ vX_[1316] = 0 - vX_[3234];
+ vX_[576] = 0 - vX_[544];
+ vX_[8988] = 0 - vX_[954] - vX_[813];
+ vX_[1968] = 0 - vX_[1027];
+ vX_[574] = 0 - vX_[770];
+ vX_[8967] = 0 - vX_[1028];
+ vX_[1083] = cos(x_in[16]);
+ jac[594] =
+ 0 -
+ (vX_[629] * vX_[4039] + vX_[557] * vX_[3893] + vX_[8989] * vX_[131] + vX_[7315] * vX_[81] +
+ vX_[3716] * vX_[144] + vX_[8957] * vX_[156] + vX_[2530] * vX_[85] + vX_[1153] * vX_[74] +
+ vX_[1290] * vX_[92] + vX_[8962] * vX_[119] + vX_[8992] * vX_[564] + vX_[8960] * vX_[147] +
+ vX_[202] * vX_[3880] + vX_[233] * vX_[4092] - (vX_[735] * vX_[4075] + vX_[1772] * vX_[4095]) +
+ (vX_[531] * vX_[4075] + vX_[1772] * vX_[4104]) * 0.08 -
+ (vX_[745] * vX_[4040] + vX_[797] * vX_[133] + vX_[1399] * vX_[132] + vX_[1180] * vX_[102] +
+ vX_[2920] * vX_[91] + vX_[2924] * vX_[155] + vX_[732] * vX_[87] + vX_[700] * vX_[86] +
+ vX_[3712] * vX_[80] + vX_[8976] * vX_[95] + vX_[676] * vX_[121] + vX_[8992] * vX_[145] +
+ vX_[739] * vX_[71] + vX_[1288] * vX_[118] +
+ (vX_[3234] * vX_[94] + vX_[8991] * vX_[104] + vX_[744] * vX_[90] + vX_[621] * vX_[100] +
+ (vX_[8954] + vX_[744] * vX_[89]) * 4.027 + vX_[8982] * vX_[102] + vX_[1753] * vX_[86] +
+ vX_[8964] * vX_[85] + vX_[3234] * vX_[69] + vX_[744] * vX_[120]) *
+ 0.08 +
+ vX_[8993] * vX_[4085]) +
+ vX_[1284] * vX_[767] + vX_[1282] * vX_[126] - vX_[954] * vX_[51] + vX_[956] * 0.35 + vX_[1278] * vX_[1015] +
+ vX_[1277] * vX_[1013] + vX_[7549] * vX_[786] + vX_[777] * vX_[783] + vX_[2018] * vX_[959] +
+ vX_[1273] * vX_[978] + vX_[811] * vX_[7] + vX_[1266] * vX_[1024] + vX_[1255] * vX_[1020] +
+ vX_[8940] * vX_[795] + vX_[8377] * vX_[784] + vX_[2927] * vX_[965] + vX_[525] * vX_[1] +
+ vX_[1222] * vX_[126] - vX_[813] * vX_[51] + vX_[818] * vX_[823] + vX_[3720] * vX_[821] +
+ vX_[969] * vX_[974] + vX_[817] * vX_[970] + vX_[8944] * vX_[870] + vX_[1336] * vX_[868] +
+ vX_[1212] * vX_[889] + vX_[1211] * vX_[885] + vX_[770] * vX_[51] * -0.33 + vX_[1073] * vX_[904] +
+ vX_[1033] * vX_[896] + vX_[1202] * vX_[902] + vX_[1177] * vX_[848] + vX_[1186] * vX_[858] +
+ vX_[1167] * vX_[846] + vX_[8966] * vX_[856] + vX_[2025] * vX_[852] + vX_[1111] * vX_[7] * 0.33 +
+ (0 - vX_[1159]) * 0.35 + vX_[220] * vX_[7] * 0.33 + vX_[1996] * vX_[945] + vX_[1328] * vX_[943] +
+ vX_[1163] * vX_[934] + vX_[1161] * vX_[930] + (vX_[1027] * vX_[51] + vX_[1028] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[629] * vX_[4075] + vX_[1772] * vX_[3880]) - (vX_[735] * vX_[4039] + vX_[202] * vX_[4095]) +
+ (vX_[531] * vX_[4039] + vX_[1306] * vX_[103] + vX_[1082] * vX_[94] + vX_[625] * vX_[102] +
+ vX_[734] * vX_[101] + (0 - (vX_[733] + vX_[3234] * vX_[89] + vX_[1082] * vX_[93])) * 4.027 +
+ vX_[740] * vX_[80] + vX_[1768] * vX_[74] + vX_[1316] * vX_[82] + vX_[576] * vX_[114] +
+ vX_[202] * vX_[4104]) *
+ 0.08 -
+ (vX_[745] * vX_[3893] + vX_[557] * vX_[4040] + vX_[797] * vX_[131] + vX_[8989] * vX_[133] +
+ vX_[1399] * vX_[102] + vX_[1180] * vX_[130] + vX_[2920] * vX_[144] + vX_[7315] * vX_[87] +
+ vX_[2924] * vX_[156] + vX_[3716] * vX_[91] + vX_[732] * vX_[81] + vX_[8957] * vX_[155] +
+ vX_[700] * vX_[85] + vX_[3712] * vX_[74] + vX_[2530] * vX_[86] + vX_[1153] * vX_[80] +
+ vX_[8976] * vX_[92] + vX_[1290] * vX_[95] + vX_[676] * vX_[119] + vX_[8962] * vX_[121] +
+ vX_[8992] * vX_[146] + vX_[8992] * vX_[147] + vX_[8960] * vX_[145] + vX_[739] * vX_[118] +
+ vX_[1288] * vX_[115] + vX_[8993] * vX_[4092] + vX_[233] * vX_[4085]) +
+ vX_[5941] * vX_[1] + vX_[1008] * vX_[1009] + vX_[778] * vX_[779] + vX_[1278] * vX_[1016] +
+ vX_[1277] * vX_[1012] + vX_[7549] * vX_[787] + vX_[8973] * vX_[784] + vX_[1114] * vX_[961] +
+ vX_[953] * vX_[51] + vX_[1271] * vX_[1023] + vX_[1255] * vX_[1021] + vX_[4089] * vX_[794] +
+ vX_[8377] * vX_[792] + vX_[726] * vX_[961] + vX_[1071] * vX_[1] + vX_[1224] * vX_[126] +
+ vX_[8988] * vX_[7] + vX_[765] * vX_[819] + vX_[1217] * vX_[972] + (0 - vX_[1027]) * 0.35 +
+ vX_[1968] * vX_[7] * 0.33 + vX_[1333] * vX_[866] + vX_[1204] * vX_[887] + (0 - vX_[770]) * 0.35 +
+ vX_[574] * vX_[7] * 0.33 + vX_[790] * vX_[906] + vX_[6467] * vX_[898] + vX_[1252] * vX_[852] +
+ vX_[1169] * vX_[846] + vX_[1196] * vX_[860] + vX_[1179] * vX_[850] + vX_[1173] * vX_[848] +
+ vX_[1219] * vX_[854] + vX_[4068] * vX_[51] * 0.33 + vX_[1159] * vX_[51] * 0.33 + vX_[1325] * vX_[941] +
+ vX_[1136] * vX_[932] + (0 - vX_[1028]) * 0.35 + vX_[8967] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[8952] = vX_[685] * vX_[126] + vX_[2111] * vX_[1] + vX_[207] * vX_[141] + vX_[174] * vX_[127] +
+ vX_[8952] * vX_[27] + vX_[2136] * vX_[3839];
+ vX_[174] = 0 - vX_[8952];
+ vX_[8514] = 0 - (vX_[2113] * vX_[139] + vX_[8530] * vX_[126] + vX_[3737] * vX_[1] + vX_[1234] * vX_[27] +
+ vX_[8514] * vX_[127] + vX_[8950] * vX_[141] + vX_[2135] * vX_[3839] + vX_[2139] * vX_[3820]);
+ vX_[2019] = vX_[2121] + vX_[2019] * vX_[139] + vX_[3737] * vX_[126];
+ vX_[173] = vX_[2019] + vX_[173] * vX_[27] + vX_[172] * vX_[141] + vX_[2139] * vX_[3839];
+ vX_[172] = 0 - vX_[173];
+ vX_[1469] =
+ vX_[176] + vX_[1469] * vX_[27] + vX_[8948] * vX_[141] * 2. + vX_[2139] * vX_[3911] + vX_[2142] * vX_[3839];
+ vX_[8948] = 0 - vX_[1469];
+ vX_[8949] = vX_[1321] + vX_[169] * vX_[27] + vX_[8949] * vX_[141] + vX_[2139] * vX_[3894] + vX_[2144] * vX_[3839];
+ vX_[1321] = 0 - vX_[8949];
+ vX_[169] = (vX_[172] * vX_[88] + vX_[8948] * vX_[148] + vX_[1321] * vX_[157]) * 1 / vX_[123];
+ vX_[172] = vX_[2140] * vX_[4055] + vX_[174] * vX_[136] + vX_[8514] * vX_[124] + vX_[172] * vX_[151] + vX_[169];
+ vX_[261] = vX_[179] + vX_[1080] * vX_[127] + vX_[261] * vX_[27] * 2. + vX_[2136] * vX_[3894];
+ vX_[179] = vX_[261] * vX_[76] + vX_[8949] * vX_[4];
+ vX_[176] = vX_[261] * vX_[4] + vX_[8949] * vX_[75];
+ vX_[183] = vX_[215] + vX_[183] * vX_[27] + vX_[218] * vX_[127] * 2. + vX_[2136] * vX_[3911];
+ vX_[1552] = 0 - (0 - (vX_[685] * vX_[139] + vX_[1542] * vX_[126]) + vX_[177] * vX_[141] + vX_[184] * vX_[27] +
+ vX_[1552] * vX_[127] + vX_[2136] * vX_[3820]);
+ vX_[2113] = vX_[2121] + vX_[2113] * vX_[126] + vX_[2115] * vX_[1];
+ vX_[8532] = 0 - (vX_[2113] + vX_[8532] * vX_[127] + vX_[167] * vX_[141] + vX_[2135] * vX_[3820]);
+ vX_[1262] =
+ 0 - (vX_[1262] + vX_[2127] * vX_[127] + vX_[1080] * vX_[141] + vX_[2135] * vX_[3911] + vX_[2142] * vX_[3820]);
+ vX_[1293] =
+ vX_[170] + vX_[1293] * vX_[127] + vX_[216] * vX_[141] * 2. + vX_[2135] * vX_[3894] + vX_[2144] * vX_[3820];
+ vX_[170] = 0 - vX_[1293];
+ vX_[8514] = (vX_[8532] * vX_[97] + vX_[8514] * vX_[88] + vX_[1262] * vX_[148] + vX_[170] * vX_[157]) * 1 / vX_[123];
+ vX_[8532] = 0 - vX_[183] + vX_[2138] * vX_[4055] + vX_[1552] * vX_[136] + vX_[8532] * vX_[124] + vX_[8514];
+ vX_[2135] = 0 - vX_[261];
+ vX_[1080] = vX_[1080] + vX_[2142] * vX_[3894] + vX_[2144] * vX_[3911];
+ vX_[2127] = 0 - vX_[1080];
+ vX_[216] = vX_[216] + vX_[2144] * vX_[3894];
+ vX_[167] = 0 - vX_[216];
+ vX_[2115] = vX_[167] * vX_[157] * 1 / vX_[123];
+ vX_[167] = vX_[2145] * vX_[4055] + vX_[2135] * vX_[136] + vX_[170] * vX_[124] + vX_[1321] * vX_[151] +
+ vX_[2127] * vX_[512] + vX_[167] * vX_[521] + vX_[2115];
+ vX_[170] = 0 - vX_[183];
+ vX_[218] = vX_[218] + vX_[2142] * vX_[3911];
+ vX_[1321] = 0 - vX_[218];
+ vX_[2127] = (vX_[1321] * vX_[148] + vX_[2127] * vX_[157]) * 1 / vX_[123];
+ vX_[1321] = vX_[2143] * vX_[4055] + vX_[170] * vX_[136] + vX_[1262] * vX_[124] + vX_[8948] * vX_[151] +
+ vX_[1321] * vX_[512] + vX_[2127];
+ vX_[2113] = vX_[3668] + vX_[708] + vX_[2121] - vX_[2113] - vX_[2019] + vX_[208] * vX_[127] + vX_[3733] * vX_[27];
+ vX_[2019] = vX_[2113] - vX_[173];
+ vX_[3733] = vX_[2019] * vX_[76] + vX_[8952] * vX_[4];
+ vX_[208] = vX_[2019] * vX_[4] + vX_[8952] * vX_[75];
+ vX_[2113] = 0 - vX_[2113];
+ vX_[170] =
+ (vX_[2113] * vX_[135] + vX_[1552] * vX_[97] + vX_[174] * vX_[88] + vX_[170] * vX_[148] + vX_[2135] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[2113] = vX_[2137] * vX_[4055] + vX_[2113] * vX_[136] + vX_[170];
+ vX_[2135] = vX_[172] * vX_[4] + vX_[2113] * vX_[76];
+ vX_[1552] = vX_[172] * vX_[75] + vX_[2113] * vX_[4];
+ vX_[1293] = vX_[1469] - vX_[1293];
+ vX_[170] = 0 - vX_[2137] * vX_[3821] - vX_[2138] * vX_[4093] - vX_[2140] * vX_[780] - vX_[2141] * vX_[3741] +
+ vX_[2141] * vX_[4055] - vX_[2143] * vX_[771] - vX_[2145] * vX_[4041] - vX_[170] * vX_[136] -
+ vX_[8514] * vX_[124] - vX_[169] * vX_[151] - vX_[2127] * vX_[512] - vX_[2115] * vX_[521];
+ vX_[2127] = 0 - vX_[216] + vX_[170];
+ vX_[2115] = vX_[2127] * vX_[76] + vX_[167] * vX_[4];
+ vX_[8514] = vX_[2127] * vX_[4] + vX_[167] * vX_[75];
+ vX_[169] = vX_[2115] * vX_[4] + vX_[8514] * vX_[76];
+ vX_[2145] = vX_[216] + vX_[2115] * vX_[76];
+ vX_[2143] = vX_[216] + vX_[8514] * vX_[4];
+ vX_[170] = vX_[218] + vX_[216] + vX_[170] - vX_[2145] - vX_[2143];
+ vX_[218] = 0 - vX_[170];
+ vX_[216] = vX_[183] * vX_[76] + vX_[1469] * vX_[4];
+ vX_[2141] = vX_[216] + vX_[218] * vX_[89];
+ vX_[2140] = 0 - vX_[2141];
+ vX_[216] = 0 - (vX_[1293] * vX_[4] + vX_[8532] * vX_[75]) + vX_[216];
+ vX_[2138] = vX_[183] * vX_[4] + vX_[1469] * vX_[75];
+ vX_[2137] = vX_[2138] + vX_[170] * vX_[93];
+ vX_[174] = 0 - vX_[2137];
+ vX_[2121] = 0 - (vX_[1080] * vX_[4] + vX_[1321] * vX_[75]) + vX_[1080] * vX_[4] * 2.;
+ vX_[708] = 0 - vX_[2121];
+ vX_[3668] = vX_[1080] * vX_[76] + vX_[1321] * vX_[4] + vX_[1080] * vX_[75] * 2.;
+ vX_[1262] = 0 - vX_[3668];
+ vX_[2181] = vX_[2181] * vX_[1993];
+ vX_[2180] = vX_[2180] * vX_[1993] + vX_[2174] * vX_[975];
+ vX_[2174] = 0 - vX_[2180];
+ vX_[2175] = vX_[2175] * vX_[975];
+ vX_[8948] = 0 - vX_[2190];
+ vX_[1542] = vX_[8948] * x_in[19] + vX_[5852] * x_in[20];
+ vX_[685] = vX_[195] * x_in[35];
+ vX_[184] = 0 - vX_[685];
+ vX_[177] = vX_[195] * x_in[34];
+ vX_[215] = 0 - vX_[177];
+ vX_[2200] = vX_[2173] * vX_[1975] + vX_[2200] * vX_[1986];
+ vX_[2201] = vX_[2201] * vX_[937];
+ vX_[2173] = 0 - vX_[2143];
+ vX_[2138] = vX_[1293] * vX_[76] + vX_[8532] * vX_[4] + vX_[2138];
+ vX_[3737] = 0 - vX_[169];
+ vX_[8530] = 0 - vX_[2143];
+ vX_[1234] = 0 - vX_[2181] - vX_[2175];
+ vX_[8950] = 0 - vX_[2200];
+ vX_[207] = 0 - vX_[1542];
+ vX_[2111] = 0 - vX_[2201];
+ jac[595] = 0 -
+ (vX_[2139] * vX_[4039] + vX_[2144] * vX_[3893] + vX_[8952] * vX_[131] + vX_[172] * vX_[81] +
+ vX_[1469] * vX_[144] + vX_[8949] * vX_[156] + vX_[179] * vX_[85] + vX_[176] * vX_[74] +
+ vX_[8532] * vX_[92] + vX_[167] * vX_[119] + vX_[1080] * vX_[564] + vX_[1321] * vX_[147] +
+ vX_[1586] * vX_[3880] + vX_[4125] * vX_[4092] - (vX_[2136] * vX_[4075] + vX_[724] * vX_[4095]) +
+ (vX_[2142] * vX_[4075] + vX_[724] * vX_[4104]) * 0.08 -
+ (vX_[2146] * vX_[4040] + vX_[2019] * vX_[133] + vX_[3733] * vX_[132] + vX_[208] * vX_[102] +
+ vX_[183] * vX_[91] + vX_[261] * vX_[155] + vX_[2113] * vX_[87] + vX_[2135] * vX_[86] +
+ vX_[1552] * vX_[80] + vX_[1293] * vX_[95] + vX_[2127] * vX_[121] + vX_[1080] * vX_[145] +
+ vX_[2115] * vX_[71] + vX_[8514] * vX_[118] +
+ (vX_[169] * vX_[94] + vX_[218] * vX_[104] + vX_[2145] * vX_[90] + vX_[2140] * vX_[100] +
+ (vX_[216] + vX_[2145] * vX_[89]) * 4.027 + vX_[174] * vX_[102] + vX_[708] * vX_[86] +
+ vX_[1262] * vX_[85] + vX_[169] * vX_[69] + vX_[2145] * vX_[120]) *
+ 0.08 +
+ vX_[3953] * vX_[4085]) +
+ vX_[8515] * vX_[767] + vX_[1917] * vX_[126] - vX_[2181] * vX_[51] + vX_[2182] * 0.35 +
+ vX_[8517] * vX_[1015] + vX_[3644] * vX_[1013] + vX_[1210] * vX_[786] + vX_[2164] * vX_[783] +
+ vX_[2020] * vX_[959] + vX_[8519] * vX_[978] + vX_[2174] * vX_[7] + vX_[9048] * vX_[1024] +
+ vX_[8520] * vX_[1020] + vX_[670] * vX_[795] + vX_[687] * vX_[784] + vX_[8977] * vX_[965] +
+ vX_[1428] * vX_[1] + vX_[7336] * vX_[126] - vX_[2175] * vX_[51] + vX_[2177] * vX_[823] +
+ vX_[1883] * vX_[821] + vX_[2185] * vX_[974] + vX_[2176] * vX_[970] + vX_[2017] * vX_[870] +
+ vX_[244] * vX_[868] + vX_[7353] * vX_[889] + vX_[7862] * vX_[885] + vX_[1542] * vX_[51] * -0.33 +
+ vX_[3704] * vX_[904] + vX_[3699] * vX_[896] + vX_[2770] * vX_[902] + vX_[8546] * vX_[848] +
+ vX_[8138] * vX_[858] + vX_[8553] * vX_[846] + vX_[3717] * vX_[856] + vX_[798] * vX_[852] +
+ vX_[184] * vX_[7] * 0.33 + (0 - vX_[177]) * 0.35 + vX_[215] * vX_[7] * 0.33 + vX_[2431] * vX_[945] +
+ vX_[190] * vX_[943] + vX_[8554] * vX_[934] + vX_[2816] * vX_[930] +
+ (vX_[2200] * vX_[51] + vX_[2201] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[2139] * vX_[4075] + vX_[724] * vX_[3880]) - (vX_[2136] * vX_[4039] + vX_[1586] * vX_[4095]) +
+ (vX_[2142] * vX_[4039] + vX_[170] * vX_[103] + vX_[2173] * vX_[94] + vX_[2141] * vX_[102] +
+ vX_[2137] * vX_[101] + (0 - (vX_[2138] + vX_[169] * vX_[89] + vX_[2173] * vX_[93])) * 4.027 +
+ vX_[2121] * vX_[80] + vX_[3668] * vX_[74] + vX_[3737] * vX_[82] + vX_[8530] * vX_[114] +
+ vX_[1586] * vX_[4104]) *
+ 0.08 -
+ (vX_[2146] * vX_[3893] + vX_[2144] * vX_[4040] + vX_[2019] * vX_[131] + vX_[8952] * vX_[133] +
+ vX_[3733] * vX_[102] + vX_[208] * vX_[130] + vX_[183] * vX_[144] + vX_[172] * vX_[87] +
+ vX_[261] * vX_[156] + vX_[1469] * vX_[91] + vX_[2113] * vX_[81] + vX_[8949] * vX_[155] +
+ vX_[2135] * vX_[85] + vX_[1552] * vX_[74] + vX_[179] * vX_[86] + vX_[176] * vX_[80] +
+ vX_[1293] * vX_[92] + vX_[8532] * vX_[95] + vX_[2127] * vX_[119] + vX_[167] * vX_[121] +
+ vX_[1080] * vX_[146] + vX_[1080] * vX_[147] + vX_[1321] * vX_[145] + vX_[2115] * vX_[118] +
+ vX_[8514] * vX_[115] + vX_[3953] * vX_[4092] + vX_[4125] * vX_[4085]) +
+ vX_[1123] * vX_[1] + vX_[2197] * vX_[1009] + vX_[2165] * vX_[779] + vX_[8517] * vX_[1016] +
+ vX_[3644] * vX_[1012] + vX_[1210] * vX_[787] + vX_[976] * vX_[784] + vX_[7313] * vX_[961] +
+ vX_[2180] * vX_[51] + vX_[2402] * vX_[1023] + vX_[8520] * vX_[1021] + vX_[638] * vX_[794] +
+ vX_[687] * vX_[792] + vX_[2112] * vX_[961] + vX_[741] * vX_[1] + vX_[8094] * vX_[126] +
+ vX_[1234] * vX_[7] + vX_[2160] * vX_[819] + vX_[3442] * vX_[972] + (0 - vX_[2200]) * 0.35 +
+ vX_[8950] * vX_[7] * 0.33 + vX_[1129] * vX_[866] + vX_[909] * vX_[887] + (0 - vX_[1542]) * 0.35 +
+ vX_[207] * vX_[7] * 0.33 + vX_[2168] * vX_[906] + vX_[665] * vX_[898] + vX_[4112] * vX_[852] +
+ vX_[8547] * vX_[846] + vX_[8114] * vX_[860] + vX_[8512] * vX_[850] + vX_[8548] * vX_[848] +
+ vX_[1004] * vX_[854] + vX_[685] * vX_[51] * 0.33 + vX_[177] * vX_[51] * 0.33 + vX_[8529] * vX_[941] +
+ vX_[6269] * vX_[932] + (0 - vX_[2201]) * 0.35 + vX_[2111] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[8537] = vX_[1394] * vX_[126] + vX_[2511] * vX_[1] + vX_[7348] * vX_[141] + vX_[8545] * vX_[127] +
+ vX_[8537] * vX_[27] + vX_[2536] * vX_[3839];
+ vX_[8545] = 0 - vX_[8537];
+ vX_[8091] = 0 - (vX_[2512] * vX_[139] + vX_[449] * vX_[126] + vX_[1544] * vX_[1] + vX_[8350] * vX_[27] +
+ vX_[8091] * vX_[127] + vX_[2408] * vX_[141] + vX_[2535] * vX_[3839] + vX_[2539] * vX_[3820]);
+ vX_[1740] = vX_[2520] + vX_[1740] * vX_[139] + vX_[1544] * vX_[126];
+ vX_[8539] = vX_[1740] + vX_[8539] * vX_[27] + vX_[2365] * vX_[141] + vX_[2539] * vX_[3839];
+ vX_[2365] = 0 - vX_[8539];
+ vX_[8195] =
+ vX_[8562] + vX_[8195] * vX_[27] + vX_[3247] * vX_[141] * 2. + vX_[2539] * vX_[3911] + vX_[2542] * vX_[3839];
+ vX_[3247] = 0 - vX_[8195];
+ vX_[2390] = vX_[8568] + vX_[8542] * vX_[27] + vX_[2390] * vX_[141] + vX_[2539] * vX_[3894] + vX_[2544] * vX_[3839];
+ vX_[8568] = 0 - vX_[2390];
+ vX_[8542] = (vX_[2365] * vX_[88] + vX_[3247] * vX_[148] + vX_[8568] * vX_[157]) * 1 / vX_[123];
+ vX_[2365] = vX_[2540] * vX_[4055] + vX_[8545] * vX_[136] + vX_[8091] * vX_[124] + vX_[2365] * vX_[151] + vX_[8542];
+ vX_[8527] = vX_[6909] + vX_[8571] * vX_[127] + vX_[8527] * vX_[27] * 2. + vX_[2536] * vX_[3894];
+ vX_[6909] = vX_[8527] * vX_[76] + vX_[2390] * vX_[4];
+ vX_[8562] = vX_[8527] * vX_[4] + vX_[2390] * vX_[75];
+ vX_[8528] = vX_[8764] + vX_[8528] * vX_[27] + vX_[8534] * vX_[127] * 2. + vX_[2536] * vX_[3911];
+ vX_[8342] = 0 - (0 - (vX_[1394] * vX_[139] + vX_[2124] * vX_[126]) + vX_[8533] * vX_[141] + vX_[8521] * vX_[27] +
+ vX_[8342] * vX_[127] + vX_[2536] * vX_[3820]);
+ vX_[2512] = vX_[2520] + vX_[2512] * vX_[126] + vX_[2514] * vX_[1];
+ vX_[650] = 0 - (vX_[2512] + vX_[650] * vX_[127] + vX_[8556] * vX_[141] + vX_[2535] * vX_[3820]);
+ vX_[8540] =
+ 0 - (vX_[8540] + vX_[2527] * vX_[127] + vX_[8571] * vX_[141] + vX_[2535] * vX_[3911] + vX_[2542] * vX_[3820]);
+ vX_[8569] =
+ vX_[8557] + vX_[8569] * vX_[127] + vX_[8749] * vX_[141] * 2. + vX_[2535] * vX_[3894] + vX_[2544] * vX_[3820];
+ vX_[8557] = 0 - vX_[8569];
+ vX_[8091] = (vX_[650] * vX_[97] + vX_[8091] * vX_[88] + vX_[8540] * vX_[148] + vX_[8557] * vX_[157]) * 1 / vX_[123];
+ vX_[650] = 0 - vX_[8528] + vX_[2538] * vX_[4055] + vX_[8342] * vX_[136] + vX_[650] * vX_[124] + vX_[8091];
+ vX_[2535] = 0 - vX_[8527];
+ vX_[8571] = vX_[8571] + vX_[2542] * vX_[3894] + vX_[2544] * vX_[3911];
+ vX_[2527] = 0 - vX_[8571];
+ vX_[8749] = vX_[8749] + vX_[2544] * vX_[3894];
+ vX_[8556] = 0 - vX_[8749];
+ vX_[2514] = vX_[8556] * vX_[157] * 1 / vX_[123];
+ vX_[8556] = vX_[2545] * vX_[4055] + vX_[2535] * vX_[136] + vX_[8557] * vX_[124] + vX_[8568] * vX_[151] +
+ vX_[2527] * vX_[512] + vX_[8556] * vX_[521] + vX_[2514];
+ vX_[8557] = 0 - vX_[8528];
+ vX_[8534] = vX_[8534] + vX_[2542] * vX_[3911];
+ vX_[8568] = 0 - vX_[8534];
+ vX_[2527] = (vX_[8568] * vX_[148] + vX_[2527] * vX_[157]) * 1 / vX_[123];
+ vX_[8568] = vX_[2543] * vX_[4055] + vX_[8557] * vX_[136] + vX_[8540] * vX_[124] + vX_[3247] * vX_[151] +
+ vX_[8568] * vX_[512] + vX_[2527];
+ vX_[2512] = vX_[926] + vX_[1846] + vX_[2520] - vX_[2512] - vX_[1740] + vX_[7331] * vX_[127] + vX_[2926] * vX_[27];
+ vX_[1740] = vX_[2512] - vX_[8539];
+ vX_[2926] = vX_[1740] * vX_[76] + vX_[8537] * vX_[4];
+ vX_[7331] = vX_[1740] * vX_[4] + vX_[8537] * vX_[75];
+ vX_[2512] = 0 - vX_[2512];
+ vX_[8557] = (vX_[2512] * vX_[135] + vX_[8342] * vX_[97] + vX_[8545] * vX_[88] + vX_[8557] * vX_[148] +
+ vX_[2535] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[2512] = vX_[2537] * vX_[4055] + vX_[2512] * vX_[136] + vX_[8557];
+ vX_[2535] = vX_[2365] * vX_[4] + vX_[2512] * vX_[76];
+ vX_[8342] = vX_[2365] * vX_[75] + vX_[2512] * vX_[4];
+ vX_[8569] = vX_[8195] - vX_[8569];
+ vX_[8557] = 0 - vX_[2537] * vX_[3821] - vX_[2538] * vX_[4093] - vX_[2540] * vX_[780] - vX_[2541] * vX_[3741] +
+ vX_[2541] * vX_[4055] - vX_[2543] * vX_[771] - vX_[2545] * vX_[4041] - vX_[8557] * vX_[136] -
+ vX_[8091] * vX_[124] - vX_[8542] * vX_[151] - vX_[2527] * vX_[512] - vX_[2514] * vX_[521];
+ vX_[2527] = 0 - vX_[8749] + vX_[8557];
+ vX_[2514] = vX_[2527] * vX_[76] + vX_[8556] * vX_[4];
+ vX_[8091] = vX_[2527] * vX_[4] + vX_[8556] * vX_[75];
+ vX_[8542] = vX_[2514] * vX_[4] + vX_[8091] * vX_[76];
+ vX_[2545] = vX_[8749] + vX_[2514] * vX_[76];
+ vX_[2543] = vX_[8749] + vX_[8091] * vX_[4];
+ vX_[8557] = vX_[8534] + vX_[8749] + vX_[8557] - vX_[2545] - vX_[2543];
+ vX_[8534] = 0 - vX_[8557];
+ vX_[8749] = vX_[8528] * vX_[76] + vX_[8195] * vX_[4];
+ vX_[2541] = vX_[8749] + vX_[8534] * vX_[89];
+ vX_[2540] = 0 - vX_[2541];
+ vX_[8749] = 0 - (vX_[8569] * vX_[4] + vX_[650] * vX_[75]) + vX_[8749];
+ vX_[2538] = vX_[8528] * vX_[4] + vX_[8195] * vX_[75];
+ vX_[2537] = vX_[2538] + vX_[8557] * vX_[93];
+ vX_[8545] = 0 - vX_[2537];
+ vX_[2520] = 0 - (vX_[8571] * vX_[4] + vX_[8568] * vX_[75]) + vX_[8571] * vX_[4] * 2.;
+ vX_[1846] = 0 - vX_[2520];
+ vX_[926] = vX_[8571] * vX_[76] + vX_[8568] * vX_[4] + vX_[8571] * vX_[75] * 2.;
+ vX_[8540] = 0 - vX_[926];
+ vX_[2581] = vX_[2581] * vX_[1993];
+ vX_[2580] = vX_[2580] * vX_[1993] + vX_[2574] * vX_[975];
+ vX_[2574] = 0 - vX_[2580];
+ vX_[2575] = vX_[2575] * vX_[975];
+ vX_[3247] = 0 - vX_[2590];
+ vX_[2124] = vX_[3247] * x_in[19] + vX_[7301] * x_in[20];
+ vX_[1394] = vX_[8101] * x_in[35];
+ vX_[8521] = 0 - vX_[1394];
+ vX_[8533] = vX_[8101] * x_in[34];
+ vX_[8764] = 0 - vX_[8533];
+ vX_[2600] = vX_[2573] * vX_[1975] + vX_[2600] * vX_[1986];
+ vX_[2601] = vX_[2601] * vX_[937];
+ vX_[2573] = 0 - vX_[2543];
+ vX_[2538] = vX_[8569] * vX_[76] + vX_[650] * vX_[4] + vX_[2538];
+ vX_[1544] = 0 - vX_[8542];
+ vX_[449] = 0 - vX_[2543];
+ vX_[8350] = 0 - vX_[2581] - vX_[2575];
+ vX_[2408] = 0 - vX_[2600];
+ vX_[7348] = 0 - vX_[2124];
+ vX_[2511] = 0 - vX_[2601];
+ jac[596] = 0 -
+ (vX_[2539] * vX_[4039] + vX_[2544] * vX_[3893] + vX_[8537] * vX_[131] + vX_[2365] * vX_[81] +
+ vX_[8195] * vX_[144] + vX_[2390] * vX_[156] + vX_[6909] * vX_[85] + vX_[8562] * vX_[74] +
+ vX_[650] * vX_[92] + vX_[8556] * vX_[119] + vX_[8571] * vX_[564] + vX_[8568] * vX_[147] +
+ vX_[1733] * vX_[3880] + vX_[3678] * vX_[4092] - (vX_[2536] * vX_[4075] + vX_[1886] * vX_[4095]) +
+ (vX_[2542] * vX_[4075] + vX_[1886] * vX_[4104]) * 0.08 -
+ (vX_[2546] * vX_[4040] + vX_[1740] * vX_[133] + vX_[2926] * vX_[132] + vX_[7331] * vX_[102] +
+ vX_[8528] * vX_[91] + vX_[8527] * vX_[155] + vX_[2512] * vX_[87] + vX_[2535] * vX_[86] +
+ vX_[8342] * vX_[80] + vX_[8569] * vX_[95] + vX_[2527] * vX_[121] + vX_[8571] * vX_[145] +
+ vX_[2514] * vX_[71] + vX_[8091] * vX_[118] +
+ (vX_[8542] * vX_[94] + vX_[8534] * vX_[104] + vX_[2545] * vX_[90] + vX_[2540] * vX_[100] +
+ (vX_[8749] + vX_[2545] * vX_[89]) * 4.027 + vX_[8545] * vX_[102] + vX_[1846] * vX_[86] +
+ vX_[8540] * vX_[85] + vX_[8542] * vX_[69] + vX_[2545] * vX_[120]) *
+ 0.08 +
+ vX_[3691] * vX_[4085]) +
+ vX_[9085] * vX_[767] + vX_[6694] * vX_[126] - vX_[2581] * vX_[51] + vX_[2582] * 0.35 +
+ vX_[7675] * vX_[1015] + vX_[9299] * vX_[1013] + vX_[1081] * vX_[786] + vX_[2564] * vX_[783] +
+ vX_[1018] * vX_[959] + vX_[494] * vX_[978] + vX_[2574] * vX_[7] + vX_[9298] * vX_[1024] +
+ vX_[2815] * vX_[1020] + vX_[2108] * vX_[795] + vX_[2122] * vX_[784] + vX_[168] * vX_[965] +
+ vX_[3036] * vX_[1] + vX_[7663] * vX_[126] - vX_[2575] * vX_[51] + vX_[2577] * vX_[823] +
+ vX_[8375] * vX_[821] + vX_[2585] * vX_[974] + vX_[2576] * vX_[970] + vX_[8085] * vX_[870] +
+ vX_[467] * vX_[868] + vX_[8082] * vX_[889] + vX_[8083] * vX_[885] + vX_[2124] * vX_[51] * -0.33 +
+ vX_[9099] * vX_[904] + vX_[1243] * vX_[896] + vX_[8144] * vX_[902] + vX_[3109] * vX_[848] +
+ vX_[8125] * vX_[858] + vX_[7849] * vX_[846] + vX_[1503] * vX_[856] + vX_[2170] * vX_[852] +
+ vX_[8521] * vX_[7] * 0.33 + (0 - vX_[8533]) * 0.35 + vX_[8764] * vX_[7] * 0.33 +
+ vX_[2831] * vX_[945] + vX_[450] * vX_[943] + vX_[7737] * vX_[934] + vX_[8129] * vX_[930] +
+ (vX_[2600] * vX_[51] + vX_[2601] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[2539] * vX_[4075] + vX_[1886] * vX_[3880]) - (vX_[2536] * vX_[4039] + vX_[1733] * vX_[4095]) +
+ (vX_[2542] * vX_[4039] + vX_[8557] * vX_[103] + vX_[2573] * vX_[94] + vX_[2541] * vX_[102] +
+ vX_[2537] * vX_[101] + (0 - (vX_[2538] + vX_[8542] * vX_[89] + vX_[2573] * vX_[93])) * 4.027 +
+ vX_[2520] * vX_[80] + vX_[926] * vX_[74] + vX_[1544] * vX_[82] + vX_[449] * vX_[114] +
+ vX_[1733] * vX_[4104]) *
+ 0.08 -
+ (vX_[2546] * vX_[3893] + vX_[2544] * vX_[4040] + vX_[1740] * vX_[131] + vX_[8537] * vX_[133] +
+ vX_[2926] * vX_[102] + vX_[7331] * vX_[130] + vX_[8528] * vX_[144] + vX_[2365] * vX_[87] +
+ vX_[8527] * vX_[156] + vX_[8195] * vX_[91] + vX_[2512] * vX_[81] + vX_[2390] * vX_[155] +
+ vX_[2535] * vX_[85] + vX_[8342] * vX_[74] + vX_[6909] * vX_[86] + vX_[8562] * vX_[80] +
+ vX_[8569] * vX_[92] + vX_[650] * vX_[95] + vX_[2527] * vX_[119] + vX_[8556] * vX_[121] +
+ vX_[8571] * vX_[146] + vX_[8571] * vX_[147] + vX_[8568] * vX_[145] + vX_[2514] * vX_[118] +
+ vX_[8091] * vX_[115] + vX_[3691] * vX_[4092] + vX_[3678] * vX_[4085]) +
+ vX_[6886] * vX_[1] + vX_[2597] * vX_[1009] + vX_[2565] * vX_[779] + vX_[7675] * vX_[1016] +
+ vX_[9299] * vX_[1012] + vX_[1081] * vX_[787] + vX_[2186] * vX_[784] + vX_[175] * vX_[961] +
+ vX_[2580] * vX_[51] + vX_[468] * vX_[1023] + vX_[2815] * vX_[1021] + vX_[1685] * vX_[794] +
+ vX_[2122] * vX_[792] + vX_[2125] * vX_[961] + vX_[2120] * vX_[1] + vX_[7726] * vX_[126] +
+ vX_[8350] * vX_[7] + vX_[2560] * vX_[819] + vX_[7695] * vX_[972] + (0 - vX_[2600]) * 0.35 +
+ vX_[2408] * vX_[7] * 0.33 + vX_[8088] * vX_[866] + vX_[8117] * vX_[887] + (0 - vX_[2124]) * 0.35 +
+ vX_[7348] * vX_[7] * 0.33 + vX_[2568] * vX_[906] + vX_[2109] * vX_[898] + vX_[3695] * vX_[852] +
+ vX_[3291] * vX_[846] + vX_[8124] * vX_[860] + vX_[1890] * vX_[850] + vX_[1889] * vX_[848] +
+ vX_[2194] * vX_[854] + vX_[1394] * vX_[51] * 0.33 + vX_[8533] * vX_[51] * 0.33 +
+ vX_[8090] * vX_[941] + vX_[8132] * vX_[932] + (0 - vX_[2601]) * 0.35 + vX_[2511] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[8092] = vX_[8373] * vX_[126] + vX_[8367] * vX_[1] + vX_[1760] * vX_[141] + vX_[8140] * vX_[127] +
+ vX_[8092] * vX_[27] + vX_[2963] * vX_[3839];
+ vX_[8140] = 0 - vX_[8092];
+ vX_[341] = 0 - (vX_[2525] * vX_[139] + vX_[9036] * vX_[126] + vX_[8371] * vX_[1] + vX_[7489] * vX_[27] +
+ vX_[341] * vX_[127] + vX_[8099] * vX_[141] + vX_[2962] * vX_[3839] + vX_[2966] * vX_[3820]);
+ vX_[7553] = vX_[2947] + vX_[7553] * vX_[139] + vX_[8371] * vX_[126];
+ vX_[447] = vX_[7553] + vX_[447] * vX_[27] + vX_[8139] * vX_[141] + vX_[2966] * vX_[3839];
+ vX_[8139] = 0 - vX_[447];
+ vX_[7475] =
+ vX_[8127] + vX_[7475] * vX_[27] + vX_[7543] * vX_[141] * 2. + vX_[2966] * vX_[3911] + vX_[2969] * vX_[3839];
+ vX_[7543] = 0 - vX_[7475];
+ vX_[8098] = vX_[8095] + vX_[8163] * vX_[27] + vX_[8098] * vX_[141] + vX_[2966] * vX_[3894] + vX_[2971] * vX_[3839];
+ vX_[8095] = 0 - vX_[8098];
+ vX_[8163] = (vX_[8139] * vX_[88] + vX_[7543] * vX_[148] + vX_[8095] * vX_[157]) * 1 / vX_[123];
+ vX_[8139] = vX_[2967] * vX_[4055] + vX_[8140] * vX_[136] + vX_[341] * vX_[124] + vX_[8139] * vX_[151] + vX_[8163];
+ vX_[7684] = vX_[8128] + vX_[8110] * vX_[127] + vX_[7684] * vX_[27] * 2. + vX_[2963] * vX_[3894];
+ vX_[8128] = vX_[7684] * vX_[76] + vX_[8098] * vX_[4];
+ vX_[8127] = vX_[7684] * vX_[4] + vX_[8098] * vX_[75];
+ vX_[7682] = vX_[7577] + vX_[7682] * vX_[27] + vX_[7766] * vX_[127] * 2. + vX_[2963] * vX_[3911];
+ vX_[7481] = 0 - (0 - (vX_[8373] * vX_[139] + vX_[2389] * vX_[126]) + vX_[8115] * vX_[141] + vX_[6690] * vX_[27] +
+ vX_[7481] * vX_[127] + vX_[2963] * vX_[3820]);
+ vX_[2525] = vX_[2947] + vX_[2525] * vX_[126] + vX_[2940] * vX_[1];
+ vX_[7805] = 0 - (vX_[2525] + vX_[7805] * vX_[127] + vX_[8097] * vX_[141] + vX_[2962] * vX_[3820]);
+ vX_[8102] =
+ 0 - (vX_[8102] + vX_[2954] * vX_[127] + vX_[8110] * vX_[141] + vX_[2962] * vX_[3911] + vX_[2969] * vX_[3820]);
+ vX_[8096] =
+ vX_[1791] + vX_[8096] * vX_[127] + vX_[8133] * vX_[141] * 2. + vX_[2962] * vX_[3894] + vX_[2971] * vX_[3820];
+ vX_[1791] = 0 - vX_[8096];
+ vX_[341] = (vX_[7805] * vX_[97] + vX_[341] * vX_[88] + vX_[8102] * vX_[148] + vX_[1791] * vX_[157]) * 1 / vX_[123];
+ vX_[7805] = 0 - vX_[7682] + vX_[2965] * vX_[4055] + vX_[7481] * vX_[136] + vX_[7805] * vX_[124] + vX_[341];
+ vX_[2962] = 0 - vX_[7684];
+ vX_[8110] = vX_[8110] + vX_[2969] * vX_[3894] + vX_[2971] * vX_[3911];
+ vX_[2954] = 0 - vX_[8110];
+ vX_[8133] = vX_[8133] + vX_[2971] * vX_[3894];
+ vX_[8097] = 0 - vX_[8133];
+ vX_[2940] = vX_[8097] * vX_[157] * 1 / vX_[123];
+ vX_[8097] = vX_[2972] * vX_[4055] + vX_[2962] * vX_[136] + vX_[1791] * vX_[124] + vX_[8095] * vX_[151] +
+ vX_[2954] * vX_[512] + vX_[8097] * vX_[521] + vX_[2940];
+ vX_[1791] = 0 - vX_[7682];
+ vX_[7766] = vX_[7766] + vX_[2969] * vX_[3911];
+ vX_[8095] = 0 - vX_[7766];
+ vX_[2954] = (vX_[8095] * vX_[148] + vX_[2954] * vX_[157]) * 1 / vX_[123];
+ vX_[8095] = vX_[2970] * vX_[4055] + vX_[1791] * vX_[136] + vX_[8102] * vX_[124] + vX_[7543] * vX_[151] +
+ vX_[8095] * vX_[512] + vX_[2954];
+ vX_[2525] = vX_[8325] + vX_[3721] + vX_[2947] - vX_[2525] - vX_[7553] + vX_[8116] * vX_[127] + vX_[8505] * vX_[27];
+ vX_[7553] = vX_[2525] - vX_[447];
+ vX_[8505] = vX_[7553] * vX_[76] + vX_[8092] * vX_[4];
+ vX_[8116] = vX_[7553] * vX_[4] + vX_[8092] * vX_[75];
+ vX_[2525] = 0 - vX_[2525];
+ vX_[1791] = (vX_[2525] * vX_[135] + vX_[7481] * vX_[97] + vX_[8140] * vX_[88] + vX_[1791] * vX_[148] +
+ vX_[2962] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[2525] = vX_[2964] * vX_[4055] + vX_[2525] * vX_[136] + vX_[1791];
+ vX_[2962] = vX_[8139] * vX_[4] + vX_[2525] * vX_[76];
+ vX_[7481] = vX_[8139] * vX_[75] + vX_[2525] * vX_[4];
+ vX_[8096] = vX_[7475] - vX_[8096];
+ vX_[1791] = 0 - vX_[2964] * vX_[3821] - vX_[2965] * vX_[4093] - vX_[2967] * vX_[780] - vX_[2968] * vX_[3741] +
+ vX_[2968] * vX_[4055] - vX_[2970] * vX_[771] - vX_[2972] * vX_[4041] - vX_[1791] * vX_[136] -
+ vX_[341] * vX_[124] - vX_[8163] * vX_[151] - vX_[2954] * vX_[512] - vX_[2940] * vX_[521];
+ vX_[2954] = 0 - vX_[8133] + vX_[1791];
+ vX_[2940] = vX_[2954] * vX_[76] + vX_[8097] * vX_[4];
+ vX_[341] = vX_[2954] * vX_[4] + vX_[8097] * vX_[75];
+ vX_[8163] = vX_[2940] * vX_[4] + vX_[341] * vX_[76];
+ vX_[2972] = vX_[8133] + vX_[2940] * vX_[76];
+ vX_[2970] = vX_[8133] + vX_[341] * vX_[4];
+ vX_[1791] = vX_[7766] + vX_[8133] + vX_[1791] - vX_[2972] - vX_[2970];
+ vX_[7766] = 0 - vX_[1791];
+ vX_[8133] = vX_[7682] * vX_[76] + vX_[7475] * vX_[4];
+ vX_[2968] = vX_[8133] + vX_[7766] * vX_[89];
+ vX_[2967] = 0 - vX_[2968];
+ vX_[8133] = 0 - (vX_[8096] * vX_[4] + vX_[7805] * vX_[75]) + vX_[8133];
+ vX_[2965] = vX_[7682] * vX_[4] + vX_[7475] * vX_[75];
+ vX_[2964] = vX_[2965] + vX_[1791] * vX_[93];
+ vX_[8140] = 0 - vX_[2964];
+ vX_[2947] = 0 - (vX_[8110] * vX_[4] + vX_[8095] * vX_[75]) + vX_[8110] * vX_[4] * 2.;
+ vX_[3721] = 0 - vX_[2947];
+ vX_[8325] = vX_[8110] * vX_[76] + vX_[8095] * vX_[4] + vX_[8110] * vX_[75] * 2.;
+ vX_[8102] = 0 - vX_[8325];
+ vX_[3008] = vX_[3008] * vX_[1993];
+ vX_[3007] = vX_[3007] * vX_[1993] + vX_[3001] * vX_[975];
+ vX_[3001] = 0 - vX_[3007];
+ vX_[3002] = vX_[3002] * vX_[975];
+ vX_[7543] = 0 - vX_[3017];
+ vX_[2389] = vX_[7543] * x_in[19] + vX_[7669] * x_in[20];
+ vX_[8373] = vX_[7546] * x_in[35];
+ vX_[6690] = 0 - vX_[8373];
+ vX_[8115] = vX_[7546] * x_in[34];
+ vX_[7577] = 0 - vX_[8115];
+ vX_[3027] = vX_[3000] * vX_[1975] + vX_[3027] * vX_[1986];
+ vX_[3028] = vX_[3028] * vX_[937];
+ vX_[3000] = 0 - vX_[2970];
+ vX_[2965] = vX_[8096] * vX_[76] + vX_[7805] * vX_[4] + vX_[2965];
+ vX_[8371] = 0 - vX_[8163];
+ vX_[9036] = 0 - vX_[2970];
+ vX_[7489] = 0 - vX_[3008] - vX_[3002];
+ vX_[8099] = 0 - vX_[3027];
+ vX_[1760] = 0 - vX_[2389];
+ vX_[8367] = 0 - vX_[3028];
+ jac[597] = 0 -
+ (vX_[2966] * vX_[4039] + vX_[2971] * vX_[3893] + vX_[8092] * vX_[131] + vX_[8139] * vX_[81] +
+ vX_[7475] * vX_[144] + vX_[8098] * vX_[156] + vX_[8128] * vX_[85] + vX_[8127] * vX_[74] +
+ vX_[7805] * vX_[92] + vX_[8097] * vX_[119] + vX_[8110] * vX_[564] + vX_[8095] * vX_[147] +
+ vX_[8491] * vX_[3880] + vX_[1258] * vX_[4092] - (vX_[2963] * vX_[4075] + vX_[8366] * vX_[4095]) +
+ (vX_[2969] * vX_[4075] + vX_[8366] * vX_[4104]) * 0.08 -
+ (vX_[2973] * vX_[4040] + vX_[7553] * vX_[133] + vX_[8505] * vX_[132] + vX_[8116] * vX_[102] +
+ vX_[7682] * vX_[91] + vX_[7684] * vX_[155] + vX_[2525] * vX_[87] + vX_[2962] * vX_[86] +
+ vX_[7481] * vX_[80] + vX_[8096] * vX_[95] + vX_[2954] * vX_[121] + vX_[8110] * vX_[145] +
+ vX_[2940] * vX_[71] + vX_[341] * vX_[118] +
+ (vX_[8163] * vX_[94] + vX_[7766] * vX_[104] + vX_[2972] * vX_[90] + vX_[2967] * vX_[100] +
+ (vX_[8133] + vX_[2972] * vX_[89]) * 4.027 + vX_[8140] * vX_[102] + vX_[3721] * vX_[86] +
+ vX_[8102] * vX_[85] + vX_[8163] * vX_[69] + vX_[2972] * vX_[120]) *
+ 0.08 +
+ vX_[1242] * vX_[4085]) +
+ vX_[7552] * vX_[767] + vX_[8611] * vX_[126] - vX_[3008] * vX_[51] + vX_[3009] * 0.35 +
+ vX_[1828] * vX_[1015] + vX_[2300] * vX_[1013] + vX_[8560] * vX_[786] + vX_[2991] * vX_[783] +
+ vX_[1193] * vX_[959] + vX_[1066] * vX_[978] + vX_[3001] * vX_[7] + vX_[9144] * vX_[1024] +
+ vX_[9292] * vX_[1020] + vX_[2117] * vX_[795] + vX_[2522] * vX_[784] + vX_[8544] * vX_[965] +
+ vX_[8492] * vX_[1] + vX_[7698] * vX_[126] - vX_[3002] * vX_[51] + vX_[3004] * vX_[823] +
+ vX_[7509] * vX_[821] + vX_[3012] * vX_[974] + vX_[3003] * vX_[970] + vX_[2497] * vX_[870] +
+ vX_[2444] * vX_[868] + vX_[7699] * vX_[889] + vX_[7705] * vX_[885] + vX_[2389] * vX_[51] * -0.33 +
+ vX_[8356] * vX_[904] + vX_[8346] * vX_[896] + vX_[9288] * vX_[902] + vX_[9180] * vX_[848] +
+ vX_[9276] * vX_[858] + vX_[2088] * vX_[846] + vX_[8352] * vX_[856] + vX_[2570] * vX_[852] +
+ vX_[6690] * vX_[7] * 0.33 + (0 - vX_[8115]) * 0.35 + vX_[7577] * vX_[7] * 0.33 +
+ vX_[3258] * vX_[945] + vX_[7550] * vX_[943] + vX_[7724] * vX_[934] + vX_[7712] * vX_[930] +
+ (vX_[3027] * vX_[51] + vX_[3028] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[2966] * vX_[4075] + vX_[8366] * vX_[3880]) - (vX_[2963] * vX_[4039] + vX_[8491] * vX_[4095]) +
+ (vX_[2969] * vX_[4039] + vX_[1791] * vX_[103] + vX_[3000] * vX_[94] + vX_[2968] * vX_[102] +
+ vX_[2964] * vX_[101] + (0 - (vX_[2965] + vX_[8163] * vX_[89] + vX_[3000] * vX_[93])) * 4.027 +
+ vX_[2947] * vX_[80] + vX_[8325] * vX_[74] + vX_[8371] * vX_[82] + vX_[9036] * vX_[114] +
+ vX_[8491] * vX_[4104]) *
+ 0.08 -
+ (vX_[2973] * vX_[3893] + vX_[2971] * vX_[4040] + vX_[7553] * vX_[131] + vX_[8092] * vX_[133] +
+ vX_[8505] * vX_[102] + vX_[8116] * vX_[130] + vX_[7682] * vX_[144] + vX_[8139] * vX_[87] +
+ vX_[7684] * vX_[156] + vX_[7475] * vX_[91] + vX_[2525] * vX_[81] + vX_[8098] * vX_[155] +
+ vX_[2962] * vX_[85] + vX_[7481] * vX_[74] + vX_[8128] * vX_[86] + vX_[8127] * vX_[80] +
+ vX_[8096] * vX_[92] + vX_[7805] * vX_[95] + vX_[2954] * vX_[119] + vX_[8097] * vX_[121] +
+ vX_[8110] * vX_[146] + vX_[8110] * vX_[147] + vX_[8095] * vX_[145] + vX_[2940] * vX_[118] +
+ vX_[341] * vX_[115] + vX_[1242] * vX_[4092] + vX_[1258] * vX_[4085]) +
+ vX_[7744] * vX_[1] + vX_[3024] * vX_[1009] + vX_[2992] * vX_[779] + vX_[1828] * vX_[1016] +
+ vX_[2300] * vX_[1012] + vX_[8560] * vX_[787] + vX_[2586] * vX_[784] + vX_[495] * vX_[961] +
+ vX_[3007] * vX_[51] + vX_[7548] * vX_[1023] + vX_[9292] * vX_[1021] + vX_[8493] * vX_[794] +
+ vX_[2522] * vX_[792] + vX_[8363] * vX_[961] + vX_[2519] * vX_[1] + vX_[6777] * vX_[126] +
+ vX_[7489] * vX_[7] + vX_[2987] * vX_[819] + vX_[7725] * vX_[972] + (0 - vX_[3027]) * 0.35 +
+ vX_[8099] * vX_[7] * 0.33 + vX_[2299] * vX_[866] + vX_[7706] * vX_[887] + (0 - vX_[2389]) * 0.35 +
+ vX_[1760] * vX_[7] * 0.33 + vX_[2995] * vX_[906] + vX_[1939] * vX_[898] + vX_[1261] * vX_[852] +
+ vX_[8625] * vX_[846] + vX_[8193] * vX_[860] + vX_[8681] * vX_[850] + vX_[7713] * vX_[848] +
+ vX_[2594] * vX_[854] + vX_[8373] * vX_[51] * 0.33 + vX_[8115] * vX_[51] * 0.33 +
+ vX_[7541] * vX_[941] + vX_[7723] * vX_[932] + (0 - vX_[3028]) * 0.35 + vX_[8367] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[7537] = vX_[2952] * vX_[126] + vX_[2942] * vX_[1] + vX_[7708] * vX_[141] + vX_[2455] * vX_[127] +
+ vX_[7537] * vX_[27] + vX_[3369] * vX_[3839];
+ vX_[2455] = 0 - vX_[7537];
+ vX_[7124] = 0 - (vX_[7534] * vX_[139] + vX_[7204] * vX_[126] + vX_[7510] * vX_[1] + vX_[6624] * vX_[27] +
+ vX_[7124] * vX_[127] + vX_[7125] * vX_[141] + vX_[3368] * vX_[3839] + vX_[3372] * vX_[3820]);
+ vX_[1344] = vX_[3353] + vX_[1344] * vX_[139] + vX_[7510] * vX_[126];
+ vX_[7692] = vX_[1344] + vX_[7692] * vX_[27] + vX_[7678] * vX_[141] + vX_[3372] * vX_[3839];
+ vX_[7678] = 0 - vX_[7692];
+ vX_[6625] =
+ vX_[8614] + vX_[6625] * vX_[27] + vX_[7544] * vX_[141] * 2. + vX_[3372] * vX_[3911] + vX_[3375] * vX_[3839];
+ vX_[7544] = 0 - vX_[6625];
+ vX_[2907] = vX_[7551] + vX_[7676] * vX_[27] + vX_[2907] * vX_[141] + vX_[3372] * vX_[3894] + vX_[3377] * vX_[3839];
+ vX_[7551] = 0 - vX_[2907];
+ vX_[7676] = (vX_[7678] * vX_[88] + vX_[7544] * vX_[148] + vX_[7551] * vX_[157]) * 1 / vX_[123];
+ vX_[7678] = vX_[3373] * vX_[4055] + vX_[2455] * vX_[136] + vX_[7124] * vX_[124] + vX_[7678] * vX_[151] + vX_[7676];
+ vX_[539] = vX_[7721] + vX_[1523] * vX_[127] + vX_[539] * vX_[27] * 2. + vX_[3369] * vX_[3894];
+ vX_[7721] = vX_[539] * vX_[76] + vX_[2907] * vX_[4];
+ vX_[8614] = vX_[539] * vX_[4] + vX_[2907] * vX_[75];
+ vX_[7257] = vX_[7694] + vX_[7257] * vX_[27] + vX_[8664] * vX_[127] * 2. + vX_[3369] * vX_[3911];
+ vX_[6641] = 0 - (0 - (vX_[2952] * vX_[139] + vX_[7512] * vX_[126]) + vX_[7689] * vX_[141] + vX_[7255] * vX_[27] +
+ vX_[6641] * vX_[127] + vX_[3369] * vX_[3820]);
+ vX_[7534] = vX_[3353] + vX_[7534] * vX_[126] + vX_[7464] * vX_[1];
+ vX_[633] = 0 - (vX_[7534] + vX_[633] * vX_[127] + vX_[7681] * vX_[141] + vX_[3368] * vX_[3820]);
+ vX_[7680] =
+ 0 - (vX_[7680] + vX_[3360] * vX_[127] + vX_[1523] * vX_[141] + vX_[3368] * vX_[3911] + vX_[3375] * vX_[3820]);
+ vX_[7679] =
+ vX_[7677] + vX_[7679] * vX_[127] + vX_[7709] * vX_[141] * 2. + vX_[3368] * vX_[3894] + vX_[3377] * vX_[3820];
+ vX_[7677] = 0 - vX_[7679];
+ vX_[7124] = (vX_[633] * vX_[97] + vX_[7124] * vX_[88] + vX_[7680] * vX_[148] + vX_[7677] * vX_[157]) * 1 / vX_[123];
+ vX_[633] = 0 - vX_[7257] + vX_[3371] * vX_[4055] + vX_[6641] * vX_[136] + vX_[633] * vX_[124] + vX_[7124];
+ vX_[3368] = 0 - vX_[539];
+ vX_[1523] = vX_[1523] + vX_[3375] * vX_[3894] + vX_[3377] * vX_[3911];
+ vX_[3360] = 0 - vX_[1523];
+ vX_[7709] = vX_[7709] + vX_[3377] * vX_[3894];
+ vX_[7681] = 0 - vX_[7709];
+ vX_[7464] = vX_[7681] * vX_[157] * 1 / vX_[123];
+ vX_[7681] = vX_[3378] * vX_[4055] + vX_[3368] * vX_[136] + vX_[7677] * vX_[124] + vX_[7551] * vX_[151] +
+ vX_[3360] * vX_[512] + vX_[7681] * vX_[521] + vX_[7464];
+ vX_[7677] = 0 - vX_[7257];
+ vX_[8664] = vX_[8664] + vX_[3375] * vX_[3911];
+ vX_[7551] = 0 - vX_[8664];
+ vX_[3360] = (vX_[7551] * vX_[148] + vX_[3360] * vX_[157]) * 1 / vX_[123];
+ vX_[7551] = vX_[3376] * vX_[4055] + vX_[7677] * vX_[136] + vX_[7680] * vX_[124] + vX_[7544] * vX_[151] +
+ vX_[7551] * vX_[512] + vX_[3360];
+ vX_[7534] = vX_[7462] + vX_[2951] + vX_[3353] - vX_[7534] - vX_[1344] + vX_[7696] * vX_[127] + vX_[3240] * vX_[27];
+ vX_[1344] = vX_[7534] - vX_[7692];
+ vX_[3240] = vX_[1344] * vX_[76] + vX_[7537] * vX_[4];
+ vX_[7696] = vX_[1344] * vX_[4] + vX_[7537] * vX_[75];
+ vX_[7534] = 0 - vX_[7534];
+ vX_[7677] = (vX_[7534] * vX_[135] + vX_[6641] * vX_[97] + vX_[2455] * vX_[88] + vX_[7677] * vX_[148] +
+ vX_[3368] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[7534] = vX_[3370] * vX_[4055] + vX_[7534] * vX_[136] + vX_[7677];
+ vX_[3368] = vX_[7678] * vX_[4] + vX_[7534] * vX_[76];
+ vX_[6641] = vX_[7678] * vX_[75] + vX_[7534] * vX_[4];
+ vX_[7679] = vX_[6625] - vX_[7679];
+ vX_[7677] = 0 - vX_[3370] * vX_[3821] - vX_[3371] * vX_[4093] - vX_[3373] * vX_[780] - vX_[3374] * vX_[3741] +
+ vX_[3374] * vX_[4055] - vX_[3376] * vX_[771] - vX_[3378] * vX_[4041] - vX_[7677] * vX_[136] -
+ vX_[7124] * vX_[124] - vX_[7676] * vX_[151] - vX_[3360] * vX_[512] - vX_[7464] * vX_[521];
+ vX_[3360] = 0 - vX_[7709] + vX_[7677];
+ vX_[7464] = vX_[3360] * vX_[76] + vX_[7681] * vX_[4];
+ vX_[7124] = vX_[3360] * vX_[4] + vX_[7681] * vX_[75];
+ vX_[7676] = vX_[7464] * vX_[4] + vX_[7124] * vX_[76];
+ vX_[3378] = vX_[7709] + vX_[7464] * vX_[76];
+ vX_[3376] = vX_[7709] + vX_[7124] * vX_[4];
+ vX_[7677] = vX_[8664] + vX_[7709] + vX_[7677] - vX_[3378] - vX_[3376];
+ vX_[8664] = 0 - vX_[7677];
+ vX_[7709] = vX_[7257] * vX_[76] + vX_[6625] * vX_[4];
+ vX_[3374] = vX_[7709] + vX_[8664] * vX_[89];
+ vX_[3373] = 0 - vX_[3374];
+ vX_[7709] = 0 - (vX_[7679] * vX_[4] + vX_[633] * vX_[75]) + vX_[7709];
+ vX_[3371] = vX_[7257] * vX_[4] + vX_[6625] * vX_[75];
+ vX_[3370] = vX_[3371] + vX_[7677] * vX_[93];
+ vX_[2455] = 0 - vX_[3370];
+ vX_[3353] = 0 - (vX_[1523] * vX_[4] + vX_[7551] * vX_[75]) + vX_[1523] * vX_[4] * 2.;
+ vX_[2951] = 0 - vX_[3353];
+ vX_[7462] = vX_[1523] * vX_[76] + vX_[7551] * vX_[4] + vX_[1523] * vX_[75] * 2.;
+ vX_[7680] = 0 - vX_[7462];
+ vX_[3414] = vX_[3414] * vX_[1993];
+ vX_[3413] = vX_[3413] * vX_[1993] + vX_[3407] * vX_[975];
+ vX_[3407] = 0 - vX_[3413];
+ vX_[3408] = vX_[3408] * vX_[975];
+ vX_[7544] = 0 - vX_[3423];
+ vX_[7512] = vX_[7544] * x_in[19] + vX_[7118] * x_in[20];
+ vX_[2952] = vX_[1065] * x_in[35];
+ vX_[7255] = 0 - vX_[2952];
+ vX_[7689] = vX_[1065] * x_in[34];
+ vX_[7694] = 0 - vX_[7689];
+ vX_[3433] = vX_[3406] * vX_[1975] + vX_[3433] * vX_[1986];
+ vX_[3434] = vX_[3434] * vX_[937];
+ vX_[3406] = 0 - vX_[3376];
+ vX_[3371] = vX_[7679] * vX_[76] + vX_[633] * vX_[4] + vX_[3371];
+ vX_[7510] = 0 - vX_[7676];
+ vX_[7204] = 0 - vX_[3376];
+ vX_[6624] = 0 - vX_[3414] - vX_[3408];
+ vX_[7125] = 0 - vX_[3433];
+ vX_[7708] = 0 - vX_[7512];
+ vX_[2942] = 0 - vX_[3434];
+ jac[598] = 0 -
+ (vX_[3372] * vX_[4039] + vX_[3377] * vX_[3893] + vX_[7537] * vX_[131] + vX_[7678] * vX_[81] +
+ vX_[6625] * vX_[144] + vX_[2907] * vX_[156] + vX_[7721] * vX_[85] + vX_[8614] * vX_[74] +
+ vX_[633] * vX_[92] + vX_[7681] * vX_[119] + vX_[1523] * vX_[564] + vX_[7551] * vX_[147] +
+ vX_[7527] * vX_[3880] + vX_[8333] * vX_[4092] - (vX_[3369] * vX_[4075] + vX_[7506] * vX_[4095]) +
+ (vX_[3375] * vX_[4075] + vX_[7506] * vX_[4104]) * 0.08 -
+ (vX_[3379] * vX_[4040] + vX_[1344] * vX_[133] + vX_[3240] * vX_[132] + vX_[7696] * vX_[102] +
+ vX_[7257] * vX_[91] + vX_[539] * vX_[155] + vX_[7534] * vX_[87] + vX_[3368] * vX_[86] +
+ vX_[6641] * vX_[80] + vX_[7679] * vX_[95] + vX_[3360] * vX_[121] + vX_[1523] * vX_[145] +
+ vX_[7464] * vX_[71] + vX_[7124] * vX_[118] +
+ (vX_[7676] * vX_[94] + vX_[8664] * vX_[104] + vX_[3378] * vX_[90] + vX_[3373] * vX_[100] +
+ (vX_[7709] + vX_[3378] * vX_[89]) * 4.027 + vX_[2455] * vX_[102] + vX_[2951] * vX_[86] +
+ vX_[7680] * vX_[85] + vX_[7676] * vX_[69] + vX_[3378] * vX_[120]) *
+ 0.08 +
+ vX_[8321] * vX_[4085]) +
+ vX_[1514] * vX_[767] + vX_[1484] * vX_[126] - vX_[3414] * vX_[51] + vX_[3415] * 0.35 +
+ vX_[1495] * vX_[1015] + vX_[1493] * vX_[1013] + vX_[441] * vX_[786] + vX_[3397] * vX_[783] +
+ vX_[618] * vX_[959] + vX_[9034] * vX_[978] + vX_[3407] * vX_[7] + vX_[7239] * vX_[1024] +
+ vX_[7240] * vX_[1020] + vX_[8358] * vX_[795] + vX_[2949] * vX_[784] + vX_[7792] * vX_[965] +
+ vX_[7525] * vX_[1] + vX_[7272] * vX_[126] - vX_[3408] * vX_[51] + vX_[3410] * vX_[823] +
+ vX_[6643] * vX_[821] + vX_[3418] * vX_[974] + vX_[3409] * vX_[970] + vX_[7245] * vX_[870] +
+ vX_[5177] * vX_[868] + vX_[316] * vX_[889] + vX_[325] * vX_[885] + vX_[7512] * vX_[51] * -0.33 +
+ vX_[7500] * vX_[904] + vX_[7483] * vX_[896] + vX_[352] * vX_[902] + vX_[329] * vX_[848] +
+ vX_[323] * vX_[858] + vX_[7296] * vX_[846] + vX_[7491] * vX_[856] + vX_[2997] * vX_[852] +
+ vX_[7255] * vX_[7] * 0.33 + (0 - vX_[7689]) * 0.35 + vX_[7694] * vX_[7] * 0.33 +
+ vX_[3664] * vX_[945] + vX_[7120] * vX_[943] + vX_[299] * vX_[934] + vX_[7259] * vX_[930] +
+ (vX_[3433] * vX_[51] + vX_[3434] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[3372] * vX_[4075] + vX_[7506] * vX_[3880]) - (vX_[3369] * vX_[4039] + vX_[7527] * vX_[4095]) +
+ (vX_[3375] * vX_[4039] + vX_[7677] * vX_[103] + vX_[3406] * vX_[94] + vX_[3374] * vX_[102] +
+ vX_[3370] * vX_[101] + (0 - (vX_[3371] + vX_[7676] * vX_[89] + vX_[3406] * vX_[93])) * 4.027 +
+ vX_[3353] * vX_[80] + vX_[7462] * vX_[74] + vX_[7510] * vX_[82] + vX_[7204] * vX_[114] +
+ vX_[7527] * vX_[4104]) *
+ 0.08 -
+ (vX_[3379] * vX_[3893] + vX_[3377] * vX_[4040] + vX_[1344] * vX_[131] + vX_[7537] * vX_[133] +
+ vX_[3240] * vX_[102] + vX_[7696] * vX_[130] + vX_[7257] * vX_[144] + vX_[7678] * vX_[87] +
+ vX_[539] * vX_[156] + vX_[6625] * vX_[91] + vX_[7534] * vX_[81] + vX_[2907] * vX_[155] +
+ vX_[3368] * vX_[85] + vX_[6641] * vX_[74] + vX_[7721] * vX_[86] + vX_[8614] * vX_[80] +
+ vX_[7679] * vX_[92] + vX_[633] * vX_[95] + vX_[3360] * vX_[119] + vX_[7681] * vX_[121] +
+ vX_[1523] * vX_[146] + vX_[1523] * vX_[147] + vX_[7551] * vX_[145] + vX_[7464] * vX_[118] +
+ vX_[7124] * vX_[115] + vX_[8321] * vX_[4092] + vX_[8333] * vX_[4085]) +
+ vX_[7686] * vX_[1] + vX_[3430] * vX_[1009] + vX_[3398] * vX_[779] + vX_[1495] * vX_[1016] +
+ vX_[1493] * vX_[1012] + vX_[441] * vX_[787] + vX_[3013] * vX_[784] + vX_[8111] * vX_[961] +
+ vX_[3413] * vX_[51] + vX_[7122] * vX_[1023] + vX_[7240] * vX_[1021] + vX_[7517] * vX_[794] +
+ vX_[2949] * vX_[792] + vX_[2953] * vX_[961] + vX_[2946] * vX_[1] + vX_[7273] * vX_[126] +
+ vX_[6624] * vX_[7] + vX_[3393] * vX_[819] + vX_[7278] * vX_[972] + (0 - vX_[3433]) * 0.35 +
+ vX_[7125] * vX_[7] * 0.33 + vX_[7839] * vX_[866] + vX_[363] * vX_[887] + (0 - vX_[7512]) * 0.35 +
+ vX_[7708] * vX_[7] * 0.33 + vX_[3401] * vX_[906] + vX_[2526] * vX_[898] + vX_[8324] * vX_[852] +
+ vX_[7285] * vX_[846] + vX_[310] * vX_[860] + vX_[7286] * vX_[850] + vX_[7297] * vX_[848] +
+ vX_[3021] * vX_[854] + vX_[2952] * vX_[51] * 0.33 + vX_[7689] * vX_[51] * 0.33 +
+ vX_[1155] * vX_[941] + vX_[319] * vX_[932] + (0 - vX_[3434]) * 0.35 + vX_[2942] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[6438] = vX_[3358] * vX_[126] + vX_[3348] * vX_[1] + vX_[7293] * vX_[141] + vX_[7250] * vX_[127] +
+ vX_[6438] * vX_[27] + vX_[3765] * vX_[3839];
+ vX_[7250] = 0 - vX_[6438];
+ vX_[6697] = 0 - (vX_[6675] * vX_[139] + vX_[4121] * vX_[126] + vX_[6645] * vX_[1] + vX_[5499] * vX_[27] +
+ vX_[6697] * vX_[127] + vX_[201] * vX_[141] + vX_[3764] * vX_[3839] + vX_[3768] * vX_[3820]);
+ vX_[1648] = vX_[3749] + vX_[1648] * vX_[139] + vX_[6645] * vX_[126];
+ vX_[7262] = vX_[1648] + vX_[7262] * vX_[27] + vX_[7249] * vX_[141] + vX_[3768] * vX_[3839];
+ vX_[7249] = 0 - vX_[7262];
+ vX_[5754] =
+ vX_[7251] + vX_[5754] * vX_[27] + vX_[7244] * vX_[141] * 2. + vX_[3768] * vX_[3911] + vX_[3771] * vX_[3839];
+ vX_[7244] = 0 - vX_[5754];
+ vX_[7116] = vX_[1559] + vX_[7252] * vX_[27] + vX_[7116] * vX_[141] + vX_[3768] * vX_[3894] + vX_[3773] * vX_[3839];
+ vX_[1559] = 0 - vX_[7116];
+ vX_[7252] = (vX_[7249] * vX_[88] + vX_[7244] * vX_[148] + vX_[1559] * vX_[157]) * 1 / vX_[123];
+ vX_[7249] = vX_[3769] * vX_[4055] + vX_[7250] * vX_[136] + vX_[6697] * vX_[124] + vX_[7249] * vX_[151] + vX_[7252];
+ vX_[9073] = vX_[1474] + vX_[8972] * vX_[127] + vX_[9073] * vX_[27] * 2. + vX_[3765] * vX_[3894];
+ vX_[1474] = vX_[9073] * vX_[76] + vX_[7116] * vX_[4];
+ vX_[7251] = vX_[9073] * vX_[4] + vX_[7116] * vX_[75];
+ vX_[6830] = vX_[7265] + vX_[6830] * vX_[27] + vX_[7267] * vX_[127] * 2. + vX_[3765] * vX_[3911];
+ vX_[5758] = 0 - (0 - (vX_[3358] * vX_[139] + vX_[6503] * vX_[126]) + vX_[8999] * vX_[141] + vX_[6828] * vX_[27] +
+ vX_[5758] * vX_[127] + vX_[3765] * vX_[3820]);
+ vX_[6675] = vX_[3749] + vX_[6675] * vX_[126] + vX_[6603] * vX_[1];
+ vX_[1357] = 0 - (vX_[6675] + vX_[1357] * vX_[127] + vX_[7109] * vX_[141] + vX_[3764] * vX_[3820]);
+ vX_[1550] =
+ 0 - (vX_[1550] + vX_[3756] * vX_[127] + vX_[8972] * vX_[141] + vX_[3764] * vX_[3911] + vX_[3771] * vX_[3820]);
+ vX_[6698] =
+ vX_[7253] + vX_[6698] * vX_[127] + vX_[7281] * vX_[141] * 2. + vX_[3764] * vX_[3894] + vX_[3773] * vX_[3820];
+ vX_[7253] = 0 - vX_[6698];
+ vX_[6697] =
+ (vX_[1357] * vX_[97] + vX_[6697] * vX_[88] + vX_[1550] * vX_[148] + vX_[7253] * vX_[157]) * 1 / vX_[123];
+ vX_[1357] = 0 - vX_[6830] + vX_[3767] * vX_[4055] + vX_[5758] * vX_[136] + vX_[1357] * vX_[124] + vX_[6697];
+ vX_[3764] = 0 - vX_[9073];
+ vX_[8972] = vX_[8972] + vX_[3771] * vX_[3894] + vX_[3773] * vX_[3911];
+ vX_[3756] = 0 - vX_[8972];
+ vX_[7281] = vX_[7281] + vX_[3773] * vX_[3894];
+ vX_[7109] = 0 - vX_[7281];
+ vX_[6603] = vX_[7109] * vX_[157] * 1 / vX_[123];
+ vX_[7109] = vX_[3774] * vX_[4055] + vX_[3764] * vX_[136] + vX_[7253] * vX_[124] + vX_[1559] * vX_[151] +
+ vX_[3756] * vX_[512] + vX_[7109] * vX_[521] + vX_[6603];
+ vX_[7253] = 0 - vX_[6830];
+ vX_[7267] = vX_[7267] + vX_[3771] * vX_[3911];
+ vX_[1559] = 0 - vX_[7267];
+ vX_[3756] = (vX_[1559] * vX_[148] + vX_[3756] * vX_[157]) * 1 / vX_[123];
+ vX_[1559] = vX_[3772] * vX_[4055] + vX_[7253] * vX_[136] + vX_[1550] * vX_[124] + vX_[7244] * vX_[151] +
+ vX_[1559] * vX_[512] + vX_[3756];
+ vX_[6675] = vX_[6607] + vX_[3357] + vX_[3749] - vX_[6675] - vX_[1648] + vX_[7294] * vX_[127] + vX_[3646] * vX_[27];
+ vX_[1648] = vX_[6675] - vX_[7262];
+ vX_[3646] = vX_[1648] * vX_[76] + vX_[6438] * vX_[4];
+ vX_[7294] = vX_[1648] * vX_[4] + vX_[6438] * vX_[75];
+ vX_[6675] = 0 - vX_[6675];
+ vX_[7253] = (vX_[6675] * vX_[135] + vX_[5758] * vX_[97] + vX_[7250] * vX_[88] + vX_[7253] * vX_[148] +
+ vX_[3764] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[6675] = vX_[3766] * vX_[4055] + vX_[6675] * vX_[136] + vX_[7253];
+ vX_[3764] = vX_[7249] * vX_[4] + vX_[6675] * vX_[76];
+ vX_[5758] = vX_[7249] * vX_[75] + vX_[6675] * vX_[4];
+ vX_[6698] = vX_[5754] - vX_[6698];
+ vX_[7253] = 0 - vX_[3766] * vX_[3821] - vX_[3767] * vX_[4093] - vX_[3769] * vX_[780] - vX_[3770] * vX_[3741] +
+ vX_[3770] * vX_[4055] - vX_[3772] * vX_[771] - vX_[3774] * vX_[4041] - vX_[7253] * vX_[136] -
+ vX_[6697] * vX_[124] - vX_[7252] * vX_[151] - vX_[3756] * vX_[512] - vX_[6603] * vX_[521];
+ vX_[3756] = 0 - vX_[7281] + vX_[7253];
+ vX_[6603] = vX_[3756] * vX_[76] + vX_[7109] * vX_[4];
+ vX_[6697] = vX_[3756] * vX_[4] + vX_[7109] * vX_[75];
+ vX_[7252] = vX_[6603] * vX_[4] + vX_[6697] * vX_[76];
+ vX_[3774] = vX_[7281] + vX_[6603] * vX_[76];
+ vX_[3772] = vX_[7281] + vX_[6697] * vX_[4];
+ vX_[7253] = vX_[7267] + vX_[7281] + vX_[7253] - vX_[3774] - vX_[3772];
+ vX_[7267] = 0 - vX_[7253];
+ vX_[7281] = vX_[6830] * vX_[76] + vX_[5754] * vX_[4];
+ vX_[3770] = vX_[7281] + vX_[7267] * vX_[89];
+ vX_[3769] = 0 - vX_[3770];
+ vX_[7281] = 0 - (vX_[6698] * vX_[4] + vX_[1357] * vX_[75]) + vX_[7281];
+ vX_[3767] = vX_[6830] * vX_[4] + vX_[5754] * vX_[75];
+ vX_[3766] = vX_[3767] + vX_[7253] * vX_[93];
+ vX_[7250] = 0 - vX_[3766];
+ vX_[3749] = 0 - (vX_[8972] * vX_[4] + vX_[1559] * vX_[75]) + vX_[8972] * vX_[4] * 2.;
+ vX_[3357] = 0 - vX_[3749];
+ vX_[6607] = vX_[8972] * vX_[76] + vX_[1559] * vX_[4] + vX_[8972] * vX_[75] * 2.;
+ vX_[1550] = 0 - vX_[6607];
+ vX_[3810] = vX_[3810] * vX_[1993];
+ vX_[3809] = vX_[3809] * vX_[1993] + vX_[3803] * vX_[975];
+ vX_[3803] = 0 - vX_[3809];
+ vX_[3804] = vX_[3804] * vX_[975];
+ vX_[7244] = 0 - vX_[3819];
+ vX_[6503] = vX_[7244] * x_in[19] + vX_[6693] * x_in[20];
+ vX_[3358] = vX_[4482] * x_in[35];
+ vX_[6828] = 0 - vX_[3358];
+ vX_[8999] = vX_[4482] * x_in[34];
+ vX_[7265] = 0 - vX_[8999];
+ vX_[3829] = vX_[3802] * vX_[1975] + vX_[3829] * vX_[1986];
+ vX_[3830] = vX_[3830] * vX_[937];
+ vX_[3802] = 0 - vX_[3772];
+ vX_[3767] = vX_[6698] * vX_[76] + vX_[1357] * vX_[4] + vX_[3767];
+ vX_[6645] = 0 - vX_[7252];
+ vX_[4121] = 0 - vX_[3772];
+ vX_[5499] = 0 - vX_[3810] - vX_[3804];
+ vX_[201] = 0 - vX_[3829];
+ vX_[7293] = 0 - vX_[6503];
+ vX_[3348] = 0 - vX_[3830];
+ jac[599] = 0 -
+ (vX_[3768] * vX_[4039] + vX_[3773] * vX_[3893] + vX_[6438] * vX_[131] + vX_[7249] * vX_[81] +
+ vX_[5754] * vX_[144] + vX_[7116] * vX_[156] + vX_[1474] * vX_[85] + vX_[7251] * vX_[74] +
+ vX_[1357] * vX_[92] + vX_[7109] * vX_[119] + vX_[8972] * vX_[564] + vX_[1559] * vX_[147] +
+ vX_[6656] * vX_[3880] + vX_[7467] * vX_[4092] - (vX_[3765] * vX_[4075] + vX_[6635] * vX_[4095]) +
+ (vX_[3771] * vX_[4075] + vX_[6635] * vX_[4104]) * 0.08 -
+ (vX_[3775] * vX_[4040] + vX_[1648] * vX_[133] + vX_[3646] * vX_[132] + vX_[7294] * vX_[102] +
+ vX_[6830] * vX_[91] + vX_[9073] * vX_[155] + vX_[6675] * vX_[87] + vX_[3764] * vX_[86] +
+ vX_[5758] * vX_[80] + vX_[6698] * vX_[95] + vX_[3756] * vX_[121] + vX_[8972] * vX_[145] +
+ vX_[6603] * vX_[71] + vX_[6697] * vX_[118] +
+ (vX_[7252] * vX_[94] + vX_[7267] * vX_[104] + vX_[3774] * vX_[90] + vX_[3769] * vX_[100] +
+ (vX_[7281] + vX_[3774] * vX_[89]) * 4.027 + vX_[7250] * vX_[102] + vX_[3357] * vX_[86] +
+ vX_[1550] * vX_[85] + vX_[7252] * vX_[69] + vX_[3774] * vX_[120]) *
+ 0.08 +
+ vX_[7504] * vX_[4085]) +
+ vX_[1405] * vX_[767] + vX_[1429] * vX_[126] - vX_[3810] * vX_[51] + vX_[3811] * 0.35 +
+ vX_[6453] * vX_[1015] + vX_[9116] * vX_[1013] + vX_[7714] * vX_[786] + vX_[3793] * vX_[783] +
+ vX_[8619] * vX_[959] + vX_[6422] * vX_[978] + vX_[3803] * vX_[7] + vX_[6812] * vX_[1024] +
+ vX_[6813] * vX_[1020] + vX_[2524] * vX_[795] + vX_[3355] * vX_[784] + vX_[7673] * vX_[965] +
+ vX_[6660] * vX_[1] + vX_[6845] * vX_[126] - vX_[3804] * vX_[51] + vX_[3806] * vX_[823] +
+ vX_[5766] * vX_[821] + vX_[3814] * vX_[974] + vX_[3805] * vX_[970] + vX_[6818] * vX_[870] +
+ vX_[3534] * vX_[868] + vX_[1609] * vX_[889] + vX_[2058] * vX_[885] + vX_[6503] * vX_[51] * -0.33 +
+ vX_[6632] * vX_[904] + vX_[6618] * vX_[896] + vX_[1000] * vX_[902] + vX_[9017] * vX_[848] +
+ vX_[7853] * vX_[858] + vX_[6869] * vX_[846] + vX_[6430] * vX_[856] + vX_[3403] * vX_[852] +
+ vX_[6828] * vX_[7] * 0.33 + (0 - vX_[8999]) * 0.35 + vX_[7265] * vX_[7] * 0.33 +
+ vX_[4060] * vX_[945] + vX_[9067] * vX_[943] + vX_[4319] * vX_[934] + vX_[6832] * vX_[930] +
+ (vX_[3829] * vX_[51] + vX_[3830] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[3768] * vX_[4075] + vX_[6635] * vX_[3880]) - (vX_[3765] * vX_[4039] + vX_[6656] * vX_[4095]) +
+ (vX_[3771] * vX_[4039] + vX_[7253] * vX_[103] + vX_[3802] * vX_[94] + vX_[3770] * vX_[102] +
+ vX_[3766] * vX_[101] + (0 - (vX_[3767] + vX_[7252] * vX_[89] + vX_[3802] * vX_[93])) * 4.027 +
+ vX_[3749] * vX_[80] + vX_[6607] * vX_[74] + vX_[6645] * vX_[82] + vX_[4121] * vX_[114] +
+ vX_[6656] * vX_[4104]) *
+ 0.08 -
+ (vX_[3775] * vX_[3893] + vX_[3773] * vX_[4040] + vX_[1648] * vX_[131] + vX_[6438] * vX_[133] +
+ vX_[3646] * vX_[102] + vX_[7294] * vX_[130] + vX_[6830] * vX_[144] + vX_[7249] * vX_[87] +
+ vX_[9073] * vX_[156] + vX_[5754] * vX_[91] + vX_[6675] * vX_[81] + vX_[7116] * vX_[155] +
+ vX_[3764] * vX_[85] + vX_[5758] * vX_[74] + vX_[1474] * vX_[86] + vX_[7251] * vX_[80] +
+ vX_[6698] * vX_[92] + vX_[1357] * vX_[95] + vX_[3756] * vX_[119] + vX_[7109] * vX_[121] +
+ vX_[8972] * vX_[146] + vX_[8972] * vX_[147] + vX_[1559] * vX_[145] + vX_[6603] * vX_[118] +
+ vX_[6697] * vX_[115] + vX_[7504] * vX_[4092] + vX_[7467] * vX_[4085]) +
+ vX_[1420] * vX_[1] + vX_[3826] * vX_[1009] + vX_[3794] * vX_[779] + vX_[6453] * vX_[1016] +
+ vX_[9116] * vX_[1012] + vX_[7714] * vX_[787] + vX_[3419] * vX_[784] + vX_[2478] * vX_[961] +
+ vX_[3809] * vX_[51] + vX_[6695] * vX_[1023] + vX_[6813] * vX_[1021] + vX_[6667] * vX_[794] +
+ vX_[3355] * vX_[792] + vX_[3359] * vX_[961] + vX_[3352] * vX_[1] + vX_[6846] * vX_[126] +
+ vX_[5499] * vX_[7] + vX_[3789] * vX_[819] + vX_[6851] * vX_[972] + (0 - vX_[3829]) * 0.35 +
+ vX_[201] * vX_[7] * 0.33 + vX_[9054] * vX_[866] + vX_[1535] * vX_[887] + (0 - vX_[6503]) * 0.35 +
+ vX_[7293] * vX_[7] * 0.33 + vX_[3797] * vX_[906] + vX_[7531] * vX_[898] + vX_[7468] * vX_[852] +
+ vX_[6858] * vX_[846] + vX_[1245] * vX_[860] + vX_[6859] * vX_[850] + vX_[6870] * vX_[848] +
+ vX_[3427] * vX_[854] + vX_[3358] * vX_[51] * 0.33 + vX_[8999] * vX_[51] * 0.33 +
+ vX_[9353] * vX_[941] + vX_[4469] * vX_[932] + (0 - vX_[3830]) * 0.35 + vX_[3348] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[6409] = vX_[5784] * vX_[126] + vX_[4156] * vX_[1] + vX_[6866] * vX_[141] + vX_[6823] * vX_[127] +
+ vX_[6409] * vX_[27] + vX_[4180] * vX_[3839];
+ vX_[6823] = 0 - vX_[6409];
+ vX_[6391] = 0 - (vX_[4159] * vX_[139] + vX_[6017] * vX_[126] + vX_[5572] * vX_[1] + vX_[4154] * vX_[27] +
+ vX_[6391] * vX_[127] + vX_[6411] * vX_[141] + vX_[4179] * vX_[3839] + vX_[4183] * vX_[3820]);
+ vX_[8322] = vX_[4167] + vX_[8322] * vX_[139] + vX_[5572] * vX_[126];
+ vX_[6835] = vX_[8322] + vX_[6835] * vX_[27] + vX_[6822] * vX_[141] + vX_[4183] * vX_[3839];
+ vX_[6822] = 0 - vX_[6835];
+ vX_[4897] =
+ vX_[6824] + vX_[4897] * vX_[27] + vX_[6394] * vX_[141] * 2. + vX_[4183] * vX_[3911] + vX_[4186] * vX_[3839];
+ vX_[6394] = 0 - vX_[4897];
+ vX_[6393] = vX_[6408] + vX_[6825] * vX_[27] + vX_[6393] * vX_[141] + vX_[4183] * vX_[3894] + vX_[4188] * vX_[3839];
+ vX_[6408] = 0 - vX_[6393];
+ vX_[6825] = (vX_[6822] * vX_[88] + vX_[6394] * vX_[148] + vX_[6408] * vX_[157]) * 1 / vX_[123];
+ vX_[6822] = vX_[4184] * vX_[4055] + vX_[6823] * vX_[136] + vX_[6391] * vX_[124] + vX_[6822] * vX_[151] + vX_[6825];
+ vX_[6399] = vX_[1654] + vX_[9110] * vX_[127] + vX_[6399] * vX_[27] * 2. + vX_[4180] * vX_[3894];
+ vX_[1654] = vX_[6399] * vX_[76] + vX_[6393] * vX_[4];
+ vX_[6824] = vX_[6399] * vX_[4] + vX_[6393] * vX_[75];
+ vX_[2717] = vX_[6838] + vX_[2717] * vX_[27] + vX_[6840] * vX_[127] * 2. + vX_[4180] * vX_[3911];
+ vX_[4914] = 0 - (0 - (vX_[5784] * vX_[139] + vX_[5800] * vX_[126]) + vX_[416] * vX_[141] + vX_[2730] * vX_[27] +
+ vX_[4914] * vX_[127] + vX_[4180] * vX_[3820]);
+ vX_[4159] = vX_[4167] + vX_[4159] * vX_[126] + vX_[4161] * vX_[1];
+ vX_[6390] = 0 - (vX_[4159] + vX_[6390] * vX_[127] + vX_[6817] * vX_[141] + vX_[4179] * vX_[3820]);
+ vX_[1366] =
+ 0 - (vX_[1366] + vX_[4142] * vX_[127] + vX_[9110] * vX_[141] + vX_[4179] * vX_[3911] + vX_[4186] * vX_[3820]);
+ vX_[6703] =
+ vX_[6826] + vX_[6703] * vX_[127] + vX_[6854] * vX_[141] * 2. + vX_[4179] * vX_[3894] + vX_[4188] * vX_[3820];
+ vX_[6826] = 0 - vX_[6703];
+ vX_[6391] =
+ (vX_[6390] * vX_[97] + vX_[6391] * vX_[88] + vX_[1366] * vX_[148] + vX_[6826] * vX_[157]) * 1 / vX_[123];
+ vX_[6390] = 0 - vX_[2717] + vX_[4182] * vX_[4055] + vX_[4914] * vX_[136] + vX_[6390] * vX_[124] + vX_[6391];
+ vX_[4179] = 0 - vX_[6399];
+ vX_[9110] = vX_[9110] + vX_[4186] * vX_[3894] + vX_[4188] * vX_[3911];
+ vX_[4142] = 0 - vX_[9110];
+ vX_[6854] = vX_[6854] + vX_[4188] * vX_[3894];
+ vX_[6817] = 0 - vX_[6854];
+ vX_[4161] = vX_[6817] * vX_[157] * 1 / vX_[123];
+ vX_[6817] = vX_[4189] * vX_[4055] + vX_[4179] * vX_[136] + vX_[6826] * vX_[124] + vX_[6408] * vX_[151] +
+ vX_[4142] * vX_[512] + vX_[6817] * vX_[521] + vX_[4161];
+ vX_[6826] = 0 - vX_[2717];
+ vX_[6840] = vX_[6840] + vX_[4186] * vX_[3911];
+ vX_[6408] = 0 - vX_[6840];
+ vX_[4142] = (vX_[6408] * vX_[148] + vX_[4142] * vX_[157]) * 1 / vX_[123];
+ vX_[6408] = vX_[4187] * vX_[4055] + vX_[6826] * vX_[136] + vX_[1366] * vX_[124] + vX_[6394] * vX_[151] +
+ vX_[6408] * vX_[512] + vX_[4142];
+ vX_[4159] = vX_[5659] + vX_[6683] + vX_[4167] - vX_[4159] - vX_[8322] + vX_[6867] * vX_[127] + vX_[5795] * vX_[27];
+ vX_[8322] = vX_[4159] - vX_[6835];
+ vX_[5795] = vX_[8322] * vX_[76] + vX_[6409] * vX_[4];
+ vX_[6867] = vX_[8322] * vX_[4] + vX_[6409] * vX_[75];
+ vX_[4159] = 0 - vX_[4159];
+ vX_[6826] = (vX_[4159] * vX_[135] + vX_[4914] * vX_[97] + vX_[6823] * vX_[88] + vX_[6826] * vX_[148] +
+ vX_[4179] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[4159] = vX_[4181] * vX_[4055] + vX_[4159] * vX_[136] + vX_[6826];
+ vX_[4179] = vX_[6822] * vX_[4] + vX_[4159] * vX_[76];
+ vX_[4914] = vX_[6822] * vX_[75] + vX_[4159] * vX_[4];
+ vX_[6703] = vX_[4897] - vX_[6703];
+ vX_[6826] = 0 - vX_[4181] * vX_[3821] - vX_[4182] * vX_[4093] - vX_[4184] * vX_[780] - vX_[4185] * vX_[3741] +
+ vX_[4185] * vX_[4055] - vX_[4187] * vX_[771] - vX_[4189] * vX_[4041] - vX_[6826] * vX_[136] -
+ vX_[6391] * vX_[124] - vX_[6825] * vX_[151] - vX_[4142] * vX_[512] - vX_[4161] * vX_[521];
+ vX_[4142] = 0 - vX_[6854] + vX_[6826];
+ vX_[4161] = vX_[4142] * vX_[76] + vX_[6817] * vX_[4];
+ vX_[6391] = vX_[4142] * vX_[4] + vX_[6817] * vX_[75];
+ vX_[6825] = vX_[4161] * vX_[4] + vX_[6391] * vX_[76];
+ vX_[4189] = vX_[6854] + vX_[4161] * vX_[76];
+ vX_[4187] = vX_[6854] + vX_[6391] * vX_[4];
+ vX_[6826] = vX_[6840] + vX_[6854] + vX_[6826] - vX_[4189] - vX_[4187];
+ vX_[6840] = 0 - vX_[6826];
+ vX_[6854] = vX_[2717] * vX_[76] + vX_[4897] * vX_[4];
+ vX_[4185] = vX_[6854] + vX_[6840] * vX_[89];
+ vX_[4184] = 0 - vX_[4185];
+ vX_[6854] = 0 - (vX_[6703] * vX_[4] + vX_[6390] * vX_[75]) + vX_[6854];
+ vX_[4182] = vX_[2717] * vX_[4] + vX_[4897] * vX_[75];
+ vX_[4181] = vX_[4182] + vX_[6826] * vX_[93];
+ vX_[6823] = 0 - vX_[4181];
+ vX_[4167] = 0 - (vX_[9110] * vX_[4] + vX_[6408] * vX_[75]) + vX_[9110] * vX_[4] * 2.;
+ vX_[6683] = 0 - vX_[4167];
+ vX_[5659] = vX_[9110] * vX_[76] + vX_[6408] * vX_[4] + vX_[9110] * vX_[75] * 2.;
+ vX_[1366] = 0 - vX_[5659];
+ vX_[4225] = vX_[4225] * vX_[1993];
+ vX_[4224] = vX_[4224] * vX_[1993] + vX_[4218] * vX_[975];
+ vX_[4218] = 0 - vX_[4224];
+ vX_[4219] = vX_[4219] * vX_[975];
+ vX_[6394] = 0 - vX_[4234];
+ vX_[5800] = vX_[6394] * x_in[19] + vX_[2712] * x_in[20];
+ vX_[5784] = vX_[8676] * x_in[35];
+ vX_[2730] = 0 - vX_[5784];
+ vX_[416] = vX_[8676] * x_in[34];
+ vX_[6838] = 0 - vX_[416];
+ vX_[4244] = vX_[4217] * vX_[1975] + vX_[4244] * vX_[1986];
+ vX_[4245] = vX_[4245] * vX_[937];
+ vX_[4217] = 0 - vX_[4187];
+ vX_[4182] = vX_[6703] * vX_[76] + vX_[6390] * vX_[4] + vX_[4182];
+ vX_[5572] = 0 - vX_[6825];
+ vX_[6017] = 0 - vX_[4187];
+ vX_[4154] = 0 - vX_[4225] - vX_[4219];
+ vX_[6411] = 0 - vX_[4244];
+ vX_[6866] = 0 - vX_[5800];
+ vX_[4156] = 0 - vX_[4245];
+ jac[600] = 0 -
+ (vX_[4183] * vX_[4039] + vX_[4188] * vX_[3893] + vX_[6409] * vX_[131] + vX_[6822] * vX_[81] +
+ vX_[4897] * vX_[144] + vX_[6393] * vX_[156] + vX_[1654] * vX_[85] + vX_[6824] * vX_[74] +
+ vX_[6390] * vX_[92] + vX_[6817] * vX_[119] + vX_[9110] * vX_[564] + vX_[6408] * vX_[147] +
+ vX_[5804] * vX_[3880] + vX_[6591] * vX_[4092] - (vX_[4180] * vX_[4075] + vX_[5783] * vX_[4095]) +
+ (vX_[4186] * vX_[4075] + vX_[5783] * vX_[4104]) * 0.08 -
+ (vX_[4190] * vX_[4040] + vX_[8322] * vX_[133] + vX_[5795] * vX_[132] + vX_[6867] * vX_[102] +
+ vX_[2717] * vX_[91] + vX_[6399] * vX_[155] + vX_[4159] * vX_[87] + vX_[4179] * vX_[86] +
+ vX_[4914] * vX_[80] + vX_[6703] * vX_[95] + vX_[4142] * vX_[121] + vX_[9110] * vX_[145] +
+ vX_[4161] * vX_[71] + vX_[6391] * vX_[118] +
+ (vX_[6825] * vX_[94] + vX_[6840] * vX_[104] + vX_[4189] * vX_[90] + vX_[4184] * vX_[100] +
+ (vX_[6854] + vX_[4189] * vX_[89]) * 4.027 + vX_[6823] * vX_[102] + vX_[6683] * vX_[86] +
+ vX_[1366] * vX_[85] + vX_[6825] * vX_[69] + vX_[4189] * vX_[120]) *
+ 0.08 +
+ vX_[6639] * vX_[4085]) +
+ vX_[6425] * vX_[767] + vX_[6452] * vX_[126] - vX_[4225] * vX_[51] + vX_[4226] * 0.35 +
+ vX_[6427] * vX_[1015] + vX_[6426] * vX_[1013] + vX_[1480] * vX_[786] + vX_[4208] * vX_[783] +
+ vX_[7126] * vX_[959] + vX_[6432] * vX_[978] + vX_[4218] * vX_[7] + vX_[2294] * vX_[1024] +
+ vX_[2297] * vX_[1020] + vX_[7523] * vX_[795] + vX_[3751] * vX_[784] + vX_[7123] * vX_[965] +
+ vX_[5777] * vX_[1] + vX_[2329] * vX_[126] - vX_[4219] * vX_[51] + vX_[4221] * vX_[823] +
+ vX_[4916] * vX_[821] + vX_[4229] * vX_[974] + vX_[4220] * vX_[970] + vX_[2333] * vX_[870] +
+ vX_[9196] * vX_[868] + vX_[6437] * vX_[889] + vX_[6440] * vX_[885] + vX_[5800] * vX_[51] * -0.33 +
+ vX_[5747] * vX_[904] + vX_[5745] * vX_[896] + vX_[4138] * vX_[902] + vX_[6628] * vX_[848] +
+ vX_[2307] * vX_[858] + vX_[6418] * vX_[846] + vX_[5763] * vX_[856] + vX_[3799] * vX_[852] +
+ vX_[2730] * vX_[7] * 0.33 + (0 - vX_[416]) * 0.35 + vX_[6838] * vX_[7] * 0.33 +
+ vX_[4475] * vX_[945] + vX_[26] * vX_[943] + vX_[9223] * vX_[934] + vX_[8685] * vX_[930] +
+ (vX_[4244] * vX_[51] + vX_[4245] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[4183] * vX_[4075] + vX_[5783] * vX_[3880]) - (vX_[4180] * vX_[4039] + vX_[5804] * vX_[4095]) +
+ (vX_[4186] * vX_[4039] + vX_[6826] * vX_[103] + vX_[4217] * vX_[94] + vX_[4185] * vX_[102] +
+ vX_[4181] * vX_[101] + (0 - (vX_[4182] + vX_[6825] * vX_[89] + vX_[4217] * vX_[93])) * 4.027 +
+ vX_[4167] * vX_[80] + vX_[5659] * vX_[74] + vX_[5572] * vX_[82] + vX_[6017] * vX_[114] +
+ vX_[5804] * vX_[4104]) *
+ 0.08 -
+ (vX_[4190] * vX_[3893] + vX_[4188] * vX_[4040] + vX_[8322] * vX_[131] + vX_[6409] * vX_[133] +
+ vX_[5795] * vX_[102] + vX_[6867] * vX_[130] + vX_[2717] * vX_[144] + vX_[6822] * vX_[87] +
+ vX_[6399] * vX_[156] + vX_[4897] * vX_[91] + vX_[4159] * vX_[81] + vX_[6393] * vX_[155] +
+ vX_[4179] * vX_[85] + vX_[4914] * vX_[74] + vX_[1654] * vX_[86] + vX_[6824] * vX_[80] +
+ vX_[6703] * vX_[92] + vX_[6390] * vX_[95] + vX_[4142] * vX_[119] + vX_[6817] * vX_[121] +
+ vX_[9110] * vX_[146] + vX_[9110] * vX_[147] + vX_[6408] * vX_[145] + vX_[4161] * vX_[118] +
+ vX_[6391] * vX_[115] + vX_[6639] * vX_[4092] + vX_[6591] * vX_[4085]) +
+ vX_[1891] * vX_[1] + vX_[4241] * vX_[1009] + vX_[4209] * vX_[779] + vX_[6427] * vX_[1016] +
+ vX_[6426] * vX_[1012] + vX_[1480] * vX_[787] + vX_[3815] * vX_[784] + vX_[7256] * vX_[961] +
+ vX_[4224] * vX_[51] + vX_[6433] * vX_[1023] + vX_[2297] * vX_[1021] + vX_[5796] * vX_[794] +
+ vX_[3751] * vX_[792] + vX_[4158] * vX_[961] + vX_[3748] * vX_[1] + vX_[2342] * vX_[126] +
+ vX_[4154] * vX_[7] + vX_[4204] * vX_[819] + vX_[2330] * vX_[972] + (0 - vX_[4244]) * 0.35 +
+ vX_[6411] * vX_[7] * 0.33 + vX_[6024] * vX_[866] + vX_[2295] * vX_[887] + (0 - vX_[5800]) * 0.35 +
+ vX_[6866] * vX_[7] * 0.33 + vX_[4212] * vX_[906] + vX_[6666] * vX_[898] + vX_[6608] * vX_[852] +
+ vX_[8279] * vX_[846] + vX_[6450] * vX_[860] + vX_[2334] * vX_[850] + vX_[2742] * vX_[848] +
+ vX_[3823] * vX_[854] + vX_[5784] * vX_[51] * 0.33 + vX_[416] * vX_[51] * 0.33 +
+ vX_[5993] * vX_[941] + vX_[6412] * vX_[932] + (0 - vX_[4245]) * 0.35 + vX_[4156] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[7441] = vX_[4034] * vX_[126] + vX_[4585] * vX_[1] + vX_[6403] * vX_[141] + vX_[9117] * vX_[127] +
+ vX_[7441] * vX_[27] + vX_[4609] * vX_[3839];
+ vX_[9117] = 0 - vX_[7441];
+ vX_[2727] = 0 - (vX_[4588] * vX_[139] + vX_[6004] * vX_[126] + vX_[4908] * vX_[1] + vX_[4583] * vX_[27] +
+ vX_[2727] * vX_[127] + vX_[3114] * vX_[141] + vX_[4608] * vX_[3839] + vX_[4612] * vX_[3820]);
+ vX_[3162] = vX_[4596] + vX_[3162] * vX_[139] + vX_[4908] * vX_[126];
+ vX_[6400] = vX_[3162] + vX_[6400] * vX_[27] + vX_[5979] * vX_[141] + vX_[4612] * vX_[3839];
+ vX_[5979] = 0 - vX_[6400];
+ vX_[2841] =
+ vX_[2735] + vX_[2841] * vX_[27] + vX_[3172] * vX_[141] * 2. + vX_[4612] * vX_[3911] + vX_[4615] * vX_[3839];
+ vX_[3172] = 0 - vX_[2841];
+ vX_[5970] = vX_[5969] + vX_[5964] * vX_[27] + vX_[5970] * vX_[141] + vX_[4612] * vX_[3894] + vX_[4617] * vX_[3839];
+ vX_[5969] = 0 - vX_[5970];
+ vX_[5964] = (vX_[5979] * vX_[88] + vX_[3172] * vX_[148] + vX_[5969] * vX_[157]) * 1 / vX_[123];
+ vX_[5979] = vX_[4613] * vX_[4055] + vX_[9117] * vX_[136] + vX_[2727] * vX_[124] + vX_[5979] * vX_[151] + vX_[5964];
+ vX_[9179] = vX_[6407] + vX_[6416] * vX_[127] + vX_[9179] * vX_[27] * 2. + vX_[4609] * vX_[3894];
+ vX_[6407] = vX_[9179] * vX_[76] + vX_[5970] * vX_[4];
+ vX_[2735] = vX_[9179] * vX_[4] + vX_[5970] * vX_[75];
+ vX_[7825] = vX_[6410] + vX_[7825] * vX_[27] + vX_[8715] * vX_[127] * 2. + vX_[4609] * vX_[3911];
+ vX_[2837] = 0 - (0 - (vX_[4034] * vX_[139] + vX_[3753] * vX_[126]) + vX_[4938] * vX_[141] + vX_[9155] * vX_[27] +
+ vX_[2837] * vX_[127] + vX_[4609] * vX_[3820]);
+ vX_[4588] = vX_[4596] + vX_[4588] * vX_[126] + vX_[4590] * vX_[1];
+ vX_[7817] = 0 - (vX_[4588] + vX_[7817] * vX_[127] + vX_[8288] * vX_[141] + vX_[4608] * vX_[3820]);
+ vX_[5967] =
+ 0 - (vX_[5967] + vX_[4560] * vX_[127] + vX_[6416] * vX_[141] + vX_[4608] * vX_[3911] + vX_[4615] * vX_[3820]);
+ vX_[3079] =
+ vX_[5982] + vX_[3079] * vX_[127] + vX_[6405] * vX_[141] * 2. + vX_[4608] * vX_[3894] + vX_[4617] * vX_[3820];
+ vX_[5982] = 0 - vX_[3079];
+ vX_[2727] =
+ (vX_[7817] * vX_[97] + vX_[2727] * vX_[88] + vX_[5967] * vX_[148] + vX_[5982] * vX_[157]) * 1 / vX_[123];
+ vX_[7817] = 0 - vX_[7825] + vX_[4611] * vX_[4055] + vX_[2837] * vX_[136] + vX_[7817] * vX_[124] + vX_[2727];
+ vX_[4608] = 0 - vX_[9179];
+ vX_[6416] = vX_[6416] + vX_[4615] * vX_[3894] + vX_[4617] * vX_[3911];
+ vX_[4560] = 0 - vX_[6416];
+ vX_[6405] = vX_[6405] + vX_[4617] * vX_[3894];
+ vX_[8288] = 0 - vX_[6405];
+ vX_[4590] = vX_[8288] * vX_[157] * 1 / vX_[123];
+ vX_[8288] = vX_[4618] * vX_[4055] + vX_[4608] * vX_[136] + vX_[5982] * vX_[124] + vX_[5969] * vX_[151] +
+ vX_[4560] * vX_[512] + vX_[8288] * vX_[521] + vX_[4590];
+ vX_[5982] = 0 - vX_[7825];
+ vX_[8715] = vX_[8715] + vX_[4615] * vX_[3911];
+ vX_[5969] = 0 - vX_[8715];
+ vX_[4560] = (vX_[5969] * vX_[148] + vX_[4560] * vX_[157]) * 1 / vX_[123];
+ vX_[5969] = vX_[4616] * vX_[4055] + vX_[5982] * vX_[136] + vX_[5967] * vX_[124] + vX_[3172] * vX_[151] +
+ vX_[5969] * vX_[512] + vX_[4560];
+ vX_[4588] = vX_[4751] + vX_[4163] + vX_[4596] - vX_[4588] - vX_[3162] + vX_[6404] * vX_[127] + vX_[4170] * vX_[27];
+ vX_[3162] = vX_[4588] - vX_[6400];
+ vX_[4170] = vX_[3162] * vX_[76] + vX_[7441] * vX_[4];
+ vX_[6404] = vX_[3162] * vX_[4] + vX_[7441] * vX_[75];
+ vX_[4588] = 0 - vX_[4588];
+ vX_[5982] = (vX_[4588] * vX_[135] + vX_[2837] * vX_[97] + vX_[9117] * vX_[88] + vX_[5982] * vX_[148] +
+ vX_[4608] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[4588] = vX_[4610] * vX_[4055] + vX_[4588] * vX_[136] + vX_[5982];
+ vX_[4608] = vX_[5979] * vX_[4] + vX_[4588] * vX_[76];
+ vX_[2837] = vX_[5979] * vX_[75] + vX_[4588] * vX_[4];
+ vX_[3079] = vX_[2841] - vX_[3079];
+ vX_[5982] = 0 - vX_[4610] * vX_[3821] - vX_[4611] * vX_[4093] - vX_[4613] * vX_[780] - vX_[4614] * vX_[3741] +
+ vX_[4614] * vX_[4055] - vX_[4616] * vX_[771] - vX_[4618] * vX_[4041] - vX_[5982] * vX_[136] -
+ vX_[2727] * vX_[124] - vX_[5964] * vX_[151] - vX_[4560] * vX_[512] - vX_[4590] * vX_[521];
+ vX_[4560] = 0 - vX_[6405] + vX_[5982];
+ vX_[4590] = vX_[4560] * vX_[76] + vX_[8288] * vX_[4];
+ vX_[2727] = vX_[4560] * vX_[4] + vX_[8288] * vX_[75];
+ vX_[5964] = vX_[4590] * vX_[4] + vX_[2727] * vX_[76];
+ vX_[4618] = vX_[6405] + vX_[4590] * vX_[76];
+ vX_[4616] = vX_[6405] + vX_[2727] * vX_[4];
+ vX_[5982] = vX_[8715] + vX_[6405] + vX_[5982] - vX_[4618] - vX_[4616];
+ vX_[8715] = 0 - vX_[5982];
+ vX_[6405] = vX_[7825] * vX_[76] + vX_[2841] * vX_[4];
+ vX_[4614] = vX_[6405] + vX_[8715] * vX_[89];
+ vX_[4613] = 0 - vX_[4614];
+ vX_[6405] = 0 - (vX_[3079] * vX_[4] + vX_[7817] * vX_[75]) + vX_[6405];
+ vX_[4611] = vX_[7825] * vX_[4] + vX_[2841] * vX_[75];
+ vX_[4610] = vX_[4611] + vX_[5982] * vX_[93];
+ vX_[9117] = 0 - vX_[4610];
+ vX_[4596] = 0 - (vX_[6416] * vX_[4] + vX_[5969] * vX_[75]) + vX_[6416] * vX_[4] * 2.;
+ vX_[4163] = 0 - vX_[4596];
+ vX_[4751] = vX_[6416] * vX_[76] + vX_[5969] * vX_[4] + vX_[6416] * vX_[75] * 2.;
+ vX_[5967] = 0 - vX_[4751];
+ vX_[4654] = vX_[4654] * vX_[1993];
+ vX_[4653] = vX_[4653] * vX_[1993] + vX_[4647] * vX_[975];
+ vX_[4647] = 0 - vX_[4653];
+ vX_[4648] = vX_[4648] * vX_[975];
+ vX_[3172] = 0 - vX_[4663];
+ vX_[3753] = vX_[3172] * x_in[19] + vX_[7409] * x_in[20];
+ vX_[4034] = vX_[5588] * x_in[35];
+ vX_[9155] = 0 - vX_[4034];
+ vX_[4938] = vX_[5588] * x_in[34];
+ vX_[6410] = 0 - vX_[4938];
+ vX_[4673] = vX_[4646] * vX_[1975] + vX_[4673] * vX_[1986];
+ vX_[4674] = vX_[4674] * vX_[937];
+ vX_[4646] = 0 - vX_[4616];
+ vX_[4611] = vX_[3079] * vX_[76] + vX_[7817] * vX_[4] + vX_[4611];
+ vX_[4908] = 0 - vX_[5964];
+ vX_[6004] = 0 - vX_[4616];
+ vX_[4583] = 0 - vX_[4654] - vX_[4648];
+ vX_[3114] = 0 - vX_[4673];
+ vX_[6403] = 0 - vX_[3753];
+ vX_[4585] = 0 - vX_[4674];
+ jac[601] = 0 -
+ (vX_[4612] * vX_[4039] + vX_[4617] * vX_[3893] + vX_[7441] * vX_[131] + vX_[5979] * vX_[81] +
+ vX_[2841] * vX_[144] + vX_[5970] * vX_[156] + vX_[6407] * vX_[85] + vX_[2735] * vX_[74] +
+ vX_[7817] * vX_[92] + vX_[8288] * vX_[119] + vX_[6416] * vX_[564] + vX_[5969] * vX_[147] +
+ vX_[4937] * vX_[3880] + vX_[5676] * vX_[4092] - (vX_[4609] * vX_[4075] + vX_[4157] * vX_[4095]) +
+ (vX_[4615] * vX_[4075] + vX_[4157] * vX_[4104]) * 0.08 -
+ (vX_[4619] * vX_[4040] + vX_[3162] * vX_[133] + vX_[4170] * vX_[132] + vX_[6404] * vX_[102] +
+ vX_[7825] * vX_[91] + vX_[9179] * vX_[155] + vX_[4588] * vX_[87] + vX_[4608] * vX_[86] +
+ vX_[2837] * vX_[80] + vX_[3079] * vX_[95] + vX_[4560] * vX_[121] + vX_[6416] * vX_[145] +
+ vX_[4590] * vX_[71] + vX_[2727] * vX_[118] +
+ (vX_[5964] * vX_[94] + vX_[8715] * vX_[104] + vX_[4618] * vX_[90] + vX_[4613] * vX_[100] +
+ (vX_[6405] + vX_[4618] * vX_[89]) * 4.027 + vX_[9117] * vX_[102] + vX_[4163] * vX_[86] +
+ vX_[5967] * vX_[85] + vX_[5964] * vX_[69] + vX_[4618] * vX_[120]) *
+ 0.08 +
+ vX_[3744] * vX_[4085]) +
+ vX_[2720] * vX_[767] + vX_[1620] * vX_[126] - vX_[4654] * vX_[51] + vX_[4655] * 0.35 +
+ vX_[2746] * vX_[1015] + vX_[8660] * vX_[1013] + vX_[1424] * vX_[786] + vX_[4637] * vX_[783] +
+ vX_[6699] * vX_[959] + vX_[2857] * vX_[978] + vX_[4647] * vX_[7] + vX_[6008] * vX_[1024] +
+ vX_[6011] * vX_[1020] + vX_[4153] * vX_[795] + vX_[4168] * vX_[784] + vX_[1598] * vX_[965] +
+ vX_[4923] * vX_[1] + vX_[6010] * vX_[126] - vX_[4648] * vX_[51] + vX_[4650] * vX_[823] +
+ vX_[2845] * vX_[821] + vX_[4658] * vX_[974] + vX_[4649] * vX_[970] + vX_[5962] * vX_[870] +
+ vX_[6023] * vX_[868] + vX_[5984] * vX_[889] + vX_[419] * vX_[885] + vX_[3753] * vX_[51] * -0.33 +
+ vX_[4905] * vX_[904] + vX_[4883] * vX_[896] + vX_[3169] * vX_[902] + vX_[6012] * vX_[848] +
+ vX_[3128] * vX_[858] + vX_[3174] * vX_[846] + vX_[4651] * vX_[856] + vX_[4214] * vX_[852] +
+ vX_[9155] * vX_[7] * 0.33 + (0 - vX_[4938]) * 0.35 + vX_[6410] * vX_[7] * 0.33 +
+ vX_[4904] * vX_[945] + vX_[5997] * vX_[943] + vX_[6007] * vX_[934] + vX_[5992] * vX_[930] +
+ (vX_[4673] * vX_[51] + vX_[4674] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[4612] * vX_[4075] + vX_[4157] * vX_[3880]) - (vX_[4609] * vX_[4039] + vX_[4937] * vX_[4095]) +
+ (vX_[4615] * vX_[4039] + vX_[5982] * vX_[103] + vX_[4646] * vX_[94] + vX_[4614] * vX_[102] +
+ vX_[4610] * vX_[101] + (0 - (vX_[4611] + vX_[5964] * vX_[89] + vX_[4646] * vX_[93])) * 4.027 +
+ vX_[4596] * vX_[80] + vX_[4751] * vX_[74] + vX_[4908] * vX_[82] + vX_[6004] * vX_[114] +
+ vX_[4937] * vX_[4104]) *
+ 0.08 -
+ (vX_[4619] * vX_[3893] + vX_[4617] * vX_[4040] + vX_[3162] * vX_[131] + vX_[7441] * vX_[133] +
+ vX_[4170] * vX_[102] + vX_[6404] * vX_[130] + vX_[7825] * vX_[144] + vX_[5979] * vX_[87] +
+ vX_[9179] * vX_[156] + vX_[2841] * vX_[91] + vX_[4588] * vX_[81] + vX_[5970] * vX_[155] +
+ vX_[4608] * vX_[85] + vX_[2837] * vX_[74] + vX_[6407] * vX_[86] + vX_[2735] * vX_[80] +
+ vX_[3079] * vX_[92] + vX_[7817] * vX_[95] + vX_[4560] * vX_[119] + vX_[8288] * vX_[121] +
+ vX_[6416] * vX_[146] + vX_[6416] * vX_[147] + vX_[5969] * vX_[145] + vX_[4590] * vX_[118] +
+ vX_[2727] * vX_[115] + vX_[3744] * vX_[4092] + vX_[5676] * vX_[4085]) +
+ vX_[3297] * vX_[1] + vX_[4670] * vX_[1009] + vX_[4638] * vX_[779] + vX_[2746] * vX_[1016] +
+ vX_[8660] * vX_[1012] + vX_[1424] * vX_[787] + vX_[4230] * vX_[784] + vX_[6829] * vX_[961] +
+ vX_[4653] * vX_[51] + vX_[8278] * vX_[1023] + vX_[6011] * vX_[1021] + vX_[4148] * vX_[794] +
+ vX_[4168] * vX_[792] + vX_[4587] * vX_[961] + vX_[4166] * vX_[1] + vX_[6022] * vX_[126] +
+ vX_[4583] * vX_[7] + vX_[4633] * vX_[819] + vX_[6021] * vX_[972] + (0 - vX_[4673]) * 0.35 +
+ vX_[3114] * vX_[7] * 0.33 + vX_[5998] * vX_[866] + vX_[6199] * vX_[887] + (0 - vX_[3753]) * 0.35 +
+ vX_[6403] * vX_[7] * 0.33 + vX_[4641] * vX_[906] + vX_[4155] * vX_[898] + vX_[5672] * vX_[852] +
+ vX_[3145] * vX_[846] + vX_[5989] * vX_[860] + vX_[5983] * vX_[850] + vX_[5995] * vX_[848] +
+ vX_[4238] * vX_[854] + vX_[4034] * vX_[51] * 0.33 + vX_[4938] * vX_[51] * 0.33 +
+ vX_[6003] * vX_[941] + vX_[5994] * vX_[932] + (0 - vX_[4674]) * 0.35 + vX_[4585] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[3936] = vX_[4918] * vX_[126] + vX_[5014] * vX_[1] + vX_[5550] * vX_[141] + vX_[3974] * vX_[127] +
+ vX_[3936] * vX_[27] + vX_[5038] * vX_[3839];
+ vX_[3974] = 0 - vX_[3936];
+ vX_[5582] = 0 - (vX_[5017] * vX_[139] + vX_[3568] * vX_[126] + vX_[2862] * vX_[1] + vX_[5012] * vX_[27] +
+ vX_[5582] * vX_[127] + vX_[7656] * vX_[141] + vX_[5037] * vX_[3839] + vX_[5041] * vX_[3820]);
+ vX_[5594] = vX_[5025] + vX_[5594] * vX_[139] + vX_[2862] * vX_[126];
+ vX_[5551] = vX_[5594] + vX_[5551] * vX_[27] + vX_[5540] * vX_[141] + vX_[5041] * vX_[3839];
+ vX_[5540] = 0 - vX_[5551];
+ vX_[2005] =
+ vX_[7843] + vX_[2005] * vX_[27] + vX_[3937] * vX_[141] * 2. + vX_[5041] * vX_[3911] + vX_[5044] * vX_[3839];
+ vX_[3937] = 0 - vX_[2005];
+ vX_[6989] = vX_[6529] + vX_[5541] * vX_[27] + vX_[6989] * vX_[141] + vX_[5041] * vX_[3894] + vX_[5046] * vX_[3839];
+ vX_[6529] = 0 - vX_[6989];
+ vX_[5541] = (vX_[5540] * vX_[88] + vX_[3937] * vX_[148] + vX_[6529] * vX_[157]) * 1 / vX_[123];
+ vX_[5540] = vX_[5042] * vX_[4055] + vX_[3974] * vX_[136] + vX_[5582] * vX_[124] + vX_[5540] * vX_[151] + vX_[5541];
+ vX_[5533] = vX_[5553] + vX_[5971] * vX_[127] + vX_[5533] * vX_[27] * 2. + vX_[5038] * vX_[3894];
+ vX_[5553] = vX_[5533] * vX_[76] + vX_[6989] * vX_[4];
+ vX_[7843] = vX_[5533] * vX_[4] + vX_[6989] * vX_[75];
+ vX_[5532] = vX_[3535] + vX_[5532] * vX_[27] + vX_[5977] * vX_[127] * 2. + vX_[5038] * vX_[3911];
+ vX_[2001] = 0 - (0 - (vX_[4918] * vX_[139] + vX_[4899] * vX_[126]) + vX_[5536] * vX_[141] + vX_[5169] * vX_[27] +
+ vX_[2001] * vX_[127] + vX_[5038] * vX_[3820]);
+ vX_[5017] = vX_[5025] + vX_[5017] * vX_[126] + vX_[5019] * vX_[1];
+ vX_[5579] = 0 - (vX_[5017] + vX_[5579] * vX_[127] + vX_[4504] * vX_[141] + vX_[5037] * vX_[3820]);
+ vX_[5125] =
+ 0 - (vX_[5125] + vX_[4990] * vX_[127] + vX_[5971] * vX_[141] + vX_[5037] * vX_[3911] + vX_[5044] * vX_[3820]);
+ vX_[1491] =
+ vX_[3947] + vX_[1491] * vX_[127] + vX_[3113] * vX_[141] * 2. + vX_[5037] * vX_[3894] + vX_[5046] * vX_[3820];
+ vX_[3947] = 0 - vX_[1491];
+ vX_[5582] =
+ (vX_[5579] * vX_[97] + vX_[5582] * vX_[88] + vX_[5125] * vX_[148] + vX_[3947] * vX_[157]) * 1 / vX_[123];
+ vX_[5579] = 0 - vX_[5532] + vX_[5040] * vX_[4055] + vX_[2001] * vX_[136] + vX_[5579] * vX_[124] + vX_[5582];
+ vX_[5037] = 0 - vX_[5533];
+ vX_[5971] = vX_[5971] + vX_[5044] * vX_[3894] + vX_[5046] * vX_[3911];
+ vX_[4990] = 0 - vX_[5971];
+ vX_[3113] = vX_[3113] + vX_[5046] * vX_[3894];
+ vX_[4504] = 0 - vX_[3113];
+ vX_[5019] = vX_[4504] * vX_[157] * 1 / vX_[123];
+ vX_[4504] = vX_[5047] * vX_[4055] + vX_[5037] * vX_[136] + vX_[3947] * vX_[124] + vX_[6529] * vX_[151] +
+ vX_[4990] * vX_[512] + vX_[4504] * vX_[521] + vX_[5019];
+ vX_[3947] = 0 - vX_[5532];
+ vX_[5977] = vX_[5977] + vX_[5044] * vX_[3911];
+ vX_[6529] = 0 - vX_[5977];
+ vX_[4990] = (vX_[6529] * vX_[148] + vX_[4990] * vX_[157]) * 1 / vX_[123];
+ vX_[6529] = vX_[5045] * vX_[4055] + vX_[3947] * vX_[136] + vX_[5125] * vX_[124] + vX_[3937] * vX_[151] +
+ vX_[6529] * vX_[512] + vX_[4990];
+ vX_[5017] = vX_[2755] + vX_[4592] + vX_[5025] - vX_[5017] - vX_[5594] + vX_[7382] * vX_[127] + vX_[4599] * vX_[27];
+ vX_[5594] = vX_[5017] - vX_[5551];
+ vX_[4599] = vX_[5594] * vX_[76] + vX_[3936] * vX_[4];
+ vX_[7382] = vX_[5594] * vX_[4] + vX_[3936] * vX_[75];
+ vX_[5017] = 0 - vX_[5017];
+ vX_[3947] = (vX_[5017] * vX_[135] + vX_[2001] * vX_[97] + vX_[3974] * vX_[88] + vX_[3947] * vX_[148] +
+ vX_[5037] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[5017] = vX_[5039] * vX_[4055] + vX_[5017] * vX_[136] + vX_[3947];
+ vX_[5037] = vX_[5540] * vX_[4] + vX_[5017] * vX_[76];
+ vX_[2001] = vX_[5540] * vX_[75] + vX_[5017] * vX_[4];
+ vX_[1491] = vX_[2005] - vX_[1491];
+ vX_[3947] = 0 - vX_[5039] * vX_[3821] - vX_[5040] * vX_[4093] - vX_[5042] * vX_[780] - vX_[5043] * vX_[3741] +
+ vX_[5043] * vX_[4055] - vX_[5045] * vX_[771] - vX_[5047] * vX_[4041] - vX_[3947] * vX_[136] -
+ vX_[5582] * vX_[124] - vX_[5541] * vX_[151] - vX_[4990] * vX_[512] - vX_[5019] * vX_[521];
+ vX_[4990] = 0 - vX_[3113] + vX_[3947];
+ vX_[5019] = vX_[4990] * vX_[76] + vX_[4504] * vX_[4];
+ vX_[5582] = vX_[4990] * vX_[4] + vX_[4504] * vX_[75];
+ vX_[5541] = vX_[5019] * vX_[4] + vX_[5582] * vX_[76];
+ vX_[5047] = vX_[3113] + vX_[5019] * vX_[76];
+ vX_[5045] = vX_[3113] + vX_[5582] * vX_[4];
+ vX_[3947] = vX_[5977] + vX_[3113] + vX_[3947] - vX_[5047] - vX_[5045];
+ vX_[5977] = 0 - vX_[3947];
+ vX_[3113] = vX_[5532] * vX_[76] + vX_[2005] * vX_[4];
+ vX_[5043] = vX_[3113] + vX_[5977] * vX_[89];
+ vX_[5042] = 0 - vX_[5043];
+ vX_[3113] = 0 - (vX_[1491] * vX_[4] + vX_[5579] * vX_[75]) + vX_[3113];
+ vX_[5040] = vX_[5532] * vX_[4] + vX_[2005] * vX_[75];
+ vX_[5039] = vX_[5040] + vX_[3947] * vX_[93];
+ vX_[3974] = 0 - vX_[5039];
+ vX_[5025] = 0 - (vX_[5971] * vX_[4] + vX_[6529] * vX_[75]) + vX_[5971] * vX_[4] * 2.;
+ vX_[4592] = 0 - vX_[5025];
+ vX_[2755] = vX_[5971] * vX_[76] + vX_[6529] * vX_[4] + vX_[5971] * vX_[75] * 2.;
+ vX_[5125] = 0 - vX_[2755];
+ vX_[5083] = vX_[5083] * vX_[1993];
+ vX_[5082] = vX_[5082] * vX_[1993] + vX_[5076] * vX_[975];
+ vX_[5076] = 0 - vX_[5082];
+ vX_[5077] = vX_[5077] * vX_[975];
+ vX_[3937] = 0 - vX_[5092];
+ vX_[4899] = vX_[3937] * x_in[19] + vX_[5568] * x_in[20];
+ vX_[4918] = vX_[5575] * x_in[35];
+ vX_[5169] = 0 - vX_[4918];
+ vX_[5536] = vX_[5575] * x_in[34];
+ vX_[3535] = 0 - vX_[5536];
+ vX_[5102] = vX_[5075] * vX_[1975] + vX_[5102] * vX_[1986];
+ vX_[5103] = vX_[5103] * vX_[937];
+ vX_[5075] = 0 - vX_[5045];
+ vX_[5040] = vX_[1491] * vX_[76] + vX_[5579] * vX_[4] + vX_[5040];
+ vX_[2862] = 0 - vX_[5541];
+ vX_[3568] = 0 - vX_[5045];
+ vX_[5012] = 0 - vX_[5083] - vX_[5077];
+ vX_[7656] = 0 - vX_[5102];
+ vX_[5550] = 0 - vX_[4899];
+ vX_[5014] = 0 - vX_[5103];
+ jac[602] = 0 -
+ (vX_[5041] * vX_[4039] + vX_[5046] * vX_[3893] + vX_[3936] * vX_[131] + vX_[5540] * vX_[81] +
+ vX_[2005] * vX_[144] + vX_[6989] * vX_[156] + vX_[5553] * vX_[85] + vX_[7843] * vX_[74] +
+ vX_[5579] * vX_[92] + vX_[4504] * vX_[119] + vX_[5971] * vX_[564] + vX_[6529] * vX_[147] +
+ vX_[4433] * vX_[3880] + vX_[4756] * vX_[4092] - (vX_[5038] * vX_[4075] + vX_[4586] * vX_[4095]) +
+ (vX_[5044] * vX_[4075] + vX_[4586] * vX_[4104]) * 0.08 -
+ (vX_[5048] * vX_[4040] + vX_[5594] * vX_[133] + vX_[4599] * vX_[132] + vX_[7382] * vX_[102] +
+ vX_[5532] * vX_[91] + vX_[5533] * vX_[155] + vX_[5017] * vX_[87] + vX_[5037] * vX_[86] +
+ vX_[2001] * vX_[80] + vX_[1491] * vX_[95] + vX_[4990] * vX_[121] + vX_[5971] * vX_[145] +
+ vX_[5019] * vX_[71] + vX_[5582] * vX_[118] +
+ (vX_[5541] * vX_[94] + vX_[5977] * vX_[104] + vX_[5047] * vX_[90] + vX_[5042] * vX_[100] +
+ (vX_[3113] + vX_[5047] * vX_[89]) * 4.027 + vX_[3974] * vX_[102] + vX_[4592] * vX_[86] +
+ vX_[5125] * vX_[85] + vX_[5541] * vX_[69] + vX_[5047] * vX_[120]) *
+ 0.08 +
+ vX_[4824] * vX_[4085]) +
+ vX_[1810] * vX_[767] + vX_[7016] * vX_[126] - vX_[5083] * vX_[51] + vX_[5084] * 0.35 +
+ vX_[5593] * vX_[1015] + vX_[5581] * vX_[1013] + vX_[6447] * vX_[786] + vX_[5066] * vX_[783] +
+ vX_[2252] * vX_[959] + vX_[5592] * vX_[978] + vX_[5076] * vX_[7] + vX_[5555] * vX_[1024] +
+ vX_[3564] * vX_[1020] + vX_[4582] * vX_[795] + vX_[4597] * vX_[784] + vX_[5965] * vX_[965] +
+ vX_[4146] * vX_[1] + vX_[3971] * vX_[126] - vX_[5077] * vX_[51] + vX_[5079] * vX_[823] +
+ vX_[2036] * vX_[821] + vX_[5087] * vX_[974] + vX_[5078] * vX_[970] + vX_[3536] * vX_[870] +
+ vX_[3574] * vX_[868] + vX_[6975] * vX_[889] + vX_[5554] * vX_[885] + vX_[4899] * vX_[51] * -0.33 +
+ vX_[2826] * vX_[904] + vX_[2833] * vX_[896] + vX_[4353] * vX_[902] + vX_[5577] * vX_[848] +
+ vX_[5578] * vX_[858] + vX_[5558] * vX_[846] + vX_[2842] * vX_[856] + vX_[4643] * vX_[852] +
+ vX_[5169] * vX_[7] * 0.33 + (0 - vX_[5536]) * 0.35 + vX_[3535] * vX_[7] * 0.33 +
+ vX_[5333] * vX_[945] + vX_[8228] * vX_[943] + vX_[6959] * vX_[934] + vX_[3970] * vX_[930] +
+ (vX_[5102] * vX_[51] + vX_[5103] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[5041] * vX_[4075] + vX_[4586] * vX_[3880]) - (vX_[5038] * vX_[4039] + vX_[4433] * vX_[4095]) +
+ (vX_[5044] * vX_[4039] + vX_[3947] * vX_[103] + vX_[5075] * vX_[94] + vX_[5043] * vX_[102] +
+ vX_[5039] * vX_[101] + (0 - (vX_[5040] + vX_[5541] * vX_[89] + vX_[5075] * vX_[93])) * 4.027 +
+ vX_[5025] * vX_[80] + vX_[2755] * vX_[74] + vX_[2862] * vX_[82] + vX_[3568] * vX_[114] +
+ vX_[4433] * vX_[4104]) *
+ 0.08 -
+ (vX_[5048] * vX_[3893] + vX_[5046] * vX_[4040] + vX_[5594] * vX_[131] + vX_[3936] * vX_[133] +
+ vX_[4599] * vX_[102] + vX_[7382] * vX_[130] + vX_[5532] * vX_[144] + vX_[5540] * vX_[87] +
+ vX_[5533] * vX_[156] + vX_[2005] * vX_[91] + vX_[5017] * vX_[81] + vX_[6989] * vX_[155] +
+ vX_[5037] * vX_[85] + vX_[2001] * vX_[74] + vX_[5553] * vX_[86] + vX_[7843] * vX_[80] +
+ vX_[1491] * vX_[92] + vX_[5579] * vX_[95] + vX_[4990] * vX_[119] + vX_[4504] * vX_[121] +
+ vX_[5971] * vX_[146] + vX_[5971] * vX_[147] + vX_[6529] * vX_[145] + vX_[5019] * vX_[118] +
+ vX_[5582] * vX_[115] + vX_[4824] * vX_[4092] + vX_[4756] * vX_[4085]) +
+ vX_[5990] * vX_[1] + vX_[5099] * vX_[1009] + vX_[5067] * vX_[779] + vX_[5593] * vX_[1016] +
+ vX_[5581] * vX_[1012] + vX_[6447] * vX_[787] + vX_[4659] * vX_[784] + vX_[5336] * vX_[961] +
+ vX_[5082] * vX_[51] + vX_[3577] * vX_[1023] + vX_[3564] * vX_[1021] + vX_[4577] * vX_[794] +
+ vX_[4597] * vX_[792] + vX_[5016] * vX_[961] + vX_[4595] * vX_[1] + vX_[3958] * vX_[126] +
+ vX_[5012] * vX_[7] + vX_[5062] * vX_[819] + vX_[5560] * vX_[972] + (0 - vX_[5102]) * 0.35 +
+ vX_[7656] * vX_[7] * 0.33 + vX_[3562] * vX_[866] + vX_[5583] * vX_[887] + (0 - vX_[4899]) * 0.35 +
+ vX_[5550] * vX_[7] * 0.33 + vX_[5070] * vX_[906] + vX_[4584] * vX_[898] + vX_[4828] * vX_[852] +
+ vX_[5589] * vX_[846] + vX_[3944] * vX_[860] + vX_[5565] * vX_[850] + vX_[5590] * vX_[848] +
+ vX_[4667] * vX_[854] + vX_[4918] * vX_[51] * 0.33 + vX_[5536] * vX_[51] * 0.33 +
+ vX_[3550] * vX_[941] + vX_[3942] * vX_[932] + (0 - vX_[5103]) * 0.35 + vX_[5014] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[4740] = vX_[2651] * vX_[126] + vX_[5433] * vX_[1] + vX_[5121] * vX_[141] + vX_[6124] * vX_[127] +
+ vX_[4740] * vX_[27] + vX_[5457] * vX_[3839];
+ vX_[6124] = 0 - vX_[4740];
+ vX_[4343] = 0 - (vX_[5436] * vX_[139] + vX_[3881] * vX_[126] + vX_[2037] * vX_[1] + vX_[5431] * vX_[27] +
+ vX_[4343] * vX_[127] + vX_[5113] * vX_[141] + vX_[5456] * vX_[3839] + vX_[5460] * vX_[3820]);
+ vX_[6572] = vX_[5444] + vX_[6572] * vX_[139] + vX_[2037] * vX_[126];
+ vX_[4331] = vX_[6572] + vX_[4331] * vX_[27] + vX_[4514] * vX_[141] + vX_[5460] * vX_[3839];
+ vX_[4514] = 0 - vX_[4331];
+ vX_[1301] =
+ vX_[5848] + vX_[1301] * vX_[27] + vX_[5148] * vX_[141] * 2. + vX_[5460] * vX_[3911] + vX_[5463] * vX_[3839];
+ vX_[5148] = 0 - vX_[1301];
+ vX_[5114] = vX_[4716] + vX_[3524] * vX_[27] + vX_[5114] * vX_[141] + vX_[5460] * vX_[3894] + vX_[5465] * vX_[3839];
+ vX_[4716] = 0 - vX_[5114];
+ vX_[3524] = (vX_[4514] * vX_[88] + vX_[5148] * vX_[148] + vX_[4716] * vX_[157]) * 1 / vX_[123];
+ vX_[4514] = vX_[5461] * vX_[4055] + vX_[6124] * vX_[136] + vX_[4343] * vX_[124] + vX_[4514] * vX_[151] + vX_[3524];
+ vX_[3949] = vX_[4558] + vX_[5132] * vX_[127] + vX_[3949] * vX_[27] * 2. + vX_[5457] * vX_[3894];
+ vX_[4558] = vX_[3949] * vX_[76] + vX_[5114] * vX_[4];
+ vX_[5848] = vX_[3949] * vX_[4] + vX_[5114] * vX_[75];
+ vX_[3955] = vX_[5119] + vX_[3955] * vX_[27] + vX_[5116] * vX_[127] * 2. + vX_[5457] * vX_[3911];
+ vX_[1458] = 0 - (0 - (vX_[2651] * vX_[139] + vX_[2846] * vX_[126]) + vX_[4378] * vX_[141] + vX_[5156] * vX_[27] +
+ vX_[1458] * vX_[127] + vX_[5457] * vX_[3820]);
+ vX_[5436] = vX_[5444] + vX_[5436] * vX_[126] + vX_[5438] * vX_[1];
+ vX_[5136] = 0 - (vX_[5436] + vX_[5136] * vX_[127] + vX_[4984] * vX_[141] + vX_[5456] * vX_[3820]);
+ vX_[4747] =
+ 0 - (vX_[4747] + vX_[5419] * vX_[127] + vX_[5132] * vX_[141] + vX_[5456] * vX_[3911] + vX_[5463] * vX_[3820]);
+ vX_[5210] =
+ vX_[6564] + vX_[5210] * vX_[127] + vX_[6536] * vX_[141] * 2. + vX_[5456] * vX_[3894] + vX_[5465] * vX_[3820];
+ vX_[6564] = 0 - vX_[5210];
+ vX_[4343] =
+ (vX_[5136] * vX_[97] + vX_[4343] * vX_[88] + vX_[4747] * vX_[148] + vX_[6564] * vX_[157]) * 1 / vX_[123];
+ vX_[5136] = 0 - vX_[3955] + vX_[5459] * vX_[4055] + vX_[1458] * vX_[136] + vX_[5136] * vX_[124] + vX_[4343];
+ vX_[5456] = 0 - vX_[3949];
+ vX_[5132] = vX_[5132] + vX_[5463] * vX_[3894] + vX_[5465] * vX_[3911];
+ vX_[5419] = 0 - vX_[5132];
+ vX_[6536] = vX_[6536] + vX_[5465] * vX_[3894];
+ vX_[4984] = 0 - vX_[6536];
+ vX_[5438] = vX_[4984] * vX_[157] * 1 / vX_[123];
+ vX_[4984] = vX_[5466] * vX_[4055] + vX_[5456] * vX_[136] + vX_[6564] * vX_[124] + vX_[4716] * vX_[151] +
+ vX_[5419] * vX_[512] + vX_[4984] * vX_[521] + vX_[5438];
+ vX_[6564] = 0 - vX_[3955];
+ vX_[5116] = vX_[5116] + vX_[5463] * vX_[3911];
+ vX_[4716] = 0 - vX_[5116];
+ vX_[5419] = (vX_[4716] * vX_[148] + vX_[5419] * vX_[157]) * 1 / vX_[123];
+ vX_[4716] = vX_[5464] * vX_[4055] + vX_[6564] * vX_[136] + vX_[4747] * vX_[124] + vX_[5148] * vX_[151] +
+ vX_[4716] * vX_[512] + vX_[5419];
+ vX_[5436] = vX_[1977] + vX_[5021] + vX_[5444] - vX_[5436] - vX_[6572] + vX_[3913] * vX_[127] + vX_[5028] * vX_[27];
+ vX_[6572] = vX_[5436] - vX_[4331];
+ vX_[5028] = vX_[6572] * vX_[76] + vX_[4740] * vX_[4];
+ vX_[3913] = vX_[6572] * vX_[4] + vX_[4740] * vX_[75];
+ vX_[5436] = 0 - vX_[5436];
+ vX_[6564] = (vX_[5436] * vX_[135] + vX_[1458] * vX_[97] + vX_[6124] * vX_[88] + vX_[6564] * vX_[148] +
+ vX_[5456] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[5436] = vX_[5458] * vX_[4055] + vX_[5436] * vX_[136] + vX_[6564];
+ vX_[5456] = vX_[4514] * vX_[4] + vX_[5436] * vX_[76];
+ vX_[1458] = vX_[4514] * vX_[75] + vX_[5436] * vX_[4];
+ vX_[5210] = vX_[1301] - vX_[5210];
+ vX_[6564] = 0 - vX_[5458] * vX_[3821] - vX_[5459] * vX_[4093] - vX_[5461] * vX_[780] - vX_[5462] * vX_[3741] +
+ vX_[5462] * vX_[4055] - vX_[5464] * vX_[771] - vX_[5466] * vX_[4041] - vX_[6564] * vX_[136] -
+ vX_[4343] * vX_[124] - vX_[3524] * vX_[151] - vX_[5419] * vX_[512] - vX_[5438] * vX_[521];
+ vX_[5419] = 0 - vX_[6536] + vX_[6564];
+ vX_[5438] = vX_[5419] * vX_[76] + vX_[4984] * vX_[4];
+ vX_[4343] = vX_[5419] * vX_[4] + vX_[4984] * vX_[75];
+ vX_[3524] = vX_[5438] * vX_[4] + vX_[4343] * vX_[76];
+ vX_[5466] = vX_[6536] + vX_[5438] * vX_[76];
+ vX_[5464] = vX_[6536] + vX_[4343] * vX_[4];
+ vX_[6564] = vX_[5116] + vX_[6536] + vX_[6564] - vX_[5466] - vX_[5464];
+ vX_[5116] = 0 - vX_[6564];
+ vX_[6536] = vX_[3955] * vX_[76] + vX_[1301] * vX_[4];
+ vX_[5462] = vX_[6536] + vX_[5116] * vX_[89];
+ vX_[5461] = 0 - vX_[5462];
+ vX_[6536] = 0 - (vX_[5210] * vX_[4] + vX_[5136] * vX_[75]) + vX_[6536];
+ vX_[5459] = vX_[3955] * vX_[4] + vX_[1301] * vX_[75];
+ vX_[5458] = vX_[5459] + vX_[6564] * vX_[93];
+ vX_[6124] = 0 - vX_[5458];
+ vX_[5444] = 0 - (vX_[5132] * vX_[4] + vX_[4716] * vX_[75]) + vX_[5132] * vX_[4] * 2.;
+ vX_[5021] = 0 - vX_[5444];
+ vX_[1977] = vX_[5132] * vX_[76] + vX_[4716] * vX_[4] + vX_[5132] * vX_[75] * 2.;
+ vX_[4747] = 0 - vX_[1977];
+ vX_[5502] = vX_[5502] * vX_[1993];
+ vX_[5501] = vX_[5501] * vX_[1993] + vX_[5495] * vX_[975];
+ vX_[5495] = 0 - vX_[5501];
+ vX_[5496] = vX_[5496] * vX_[975];
+ vX_[5148] = 0 - vX_[5511];
+ vX_[2846] = vX_[5148] * x_in[19] + vX_[7401] * x_in[20];
+ vX_[2651] = vX_[3915] * x_in[35];
+ vX_[5156] = 0 - vX_[2651];
+ vX_[4378] = vX_[3915] * x_in[34];
+ vX_[5119] = 0 - vX_[4378];
+ vX_[5521] = vX_[5494] * vX_[1975] + vX_[5521] * vX_[1986];
+ vX_[5522] = vX_[5522] * vX_[937];
+ vX_[5494] = 0 - vX_[5464];
+ vX_[5459] = vX_[5210] * vX_[76] + vX_[5136] * vX_[4] + vX_[5459];
+ vX_[2037] = 0 - vX_[3524];
+ vX_[3881] = 0 - vX_[5464];
+ vX_[5431] = 0 - vX_[5502] - vX_[5496];
+ vX_[5113] = 0 - vX_[5521];
+ vX_[5121] = 0 - vX_[2846];
+ vX_[5433] = 0 - vX_[5522];
+ jac[603] = 0 -
+ (vX_[5460] * vX_[4039] + vX_[5465] * vX_[3893] + vX_[4740] * vX_[131] + vX_[4514] * vX_[81] +
+ vX_[1301] * vX_[144] + vX_[5114] * vX_[156] + vX_[4558] * vX_[85] + vX_[5848] * vX_[74] +
+ vX_[5136] * vX_[92] + vX_[4984] * vX_[119] + vX_[5132] * vX_[564] + vX_[4716] * vX_[147] +
+ vX_[4862] * vX_[3880] + vX_[2739] * vX_[4092] - (vX_[5457] * vX_[4075] + vX_[5015] * vX_[4095]) +
+ (vX_[5463] * vX_[4075] + vX_[5015] * vX_[4104]) * 0.08 -
+ (vX_[5467] * vX_[4040] + vX_[6572] * vX_[133] + vX_[5028] * vX_[132] + vX_[3913] * vX_[102] +
+ vX_[3955] * vX_[91] + vX_[3949] * vX_[155] + vX_[5436] * vX_[87] + vX_[5456] * vX_[86] +
+ vX_[1458] * vX_[80] + vX_[5210] * vX_[95] + vX_[5419] * vX_[121] + vX_[5132] * vX_[145] +
+ vX_[5438] * vX_[71] + vX_[4343] * vX_[118] +
+ (vX_[3524] * vX_[94] + vX_[5116] * vX_[104] + vX_[5466] * vX_[90] + vX_[5461] * vX_[100] +
+ (vX_[6536] + vX_[5466] * vX_[89]) * 4.027 + vX_[6124] * vX_[102] + vX_[5021] * vX_[86] +
+ vX_[4747] * vX_[85] + vX_[3524] * vX_[69] + vX_[5466] * vX_[120]) *
+ 0.08 +
+ vX_[2828] * vX_[4085]) +
+ vX_[5351] * vX_[767] + vX_[4373] * vX_[126] - vX_[5502] * vX_[51] + vX_[5503] * 0.35 +
+ vX_[6547] * vX_[1015] + vX_[4390] * vX_[1013] + vX_[5974] * vX_[786] + vX_[5485] * vX_[783] +
+ vX_[7855] * vX_[959] + vX_[5141] * vX_[978] + vX_[5495] * vX_[7] + vX_[4341] * vX_[1024] +
+ vX_[5135] * vX_[1020] + vX_[5011] * vX_[795] + vX_[5026] * vX_[784] + vX_[3111] * vX_[965] +
+ vX_[4575] * vX_[1] + vX_[4379] * vX_[126] - vX_[5496] * vX_[51] + vX_[5498] * vX_[823] +
+ vX_[1849] * vX_[821] + vX_[5506] * vX_[974] + vX_[5497] * vX_[970] + vX_[5163] * vX_[870] +
+ vX_[3909] * vX_[868] + vX_[5144] * vX_[889] + vX_[5146] * vX_[885] + vX_[2846] * vX_[51] * -0.33 +
+ vX_[2030] * vX_[904] + vX_[1967] * vX_[896] + vX_[5142] * vX_[902] + vX_[5128] * vX_[848] +
+ vX_[4352] * vX_[858] + vX_[5123] * vX_[846] + vX_[2008] * vX_[856] + vX_[5072] * vX_[852] +
+ vX_[5156] * vX_[7] * 0.33 + (0 - vX_[4378]) * 0.35 + vX_[5119] * vX_[7] * 0.33 +
+ vX_[5752] * vX_[945] + vX_[5162] * vX_[943] + vX_[5130] * vX_[934] + vX_[5129] * vX_[930] +
+ (vX_[5521] * vX_[51] + vX_[5522] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[5460] * vX_[4075] + vX_[5015] * vX_[3880]) - (vX_[5457] * vX_[4039] + vX_[4862] * vX_[4095]) +
+ (vX_[5463] * vX_[4039] + vX_[6564] * vX_[103] + vX_[5494] * vX_[94] + vX_[5462] * vX_[102] +
+ vX_[5458] * vX_[101] + (0 - (vX_[5459] + vX_[3524] * vX_[89] + vX_[5494] * vX_[93])) * 4.027 +
+ vX_[5444] * vX_[80] + vX_[1977] * vX_[74] + vX_[2037] * vX_[82] + vX_[3881] * vX_[114] +
+ vX_[4862] * vX_[4104]) *
+ 0.08 -
+ (vX_[5467] * vX_[3893] + vX_[5465] * vX_[4040] + vX_[6572] * vX_[131] + vX_[4740] * vX_[133] +
+ vX_[5028] * vX_[102] + vX_[3913] * vX_[130] + vX_[3955] * vX_[144] + vX_[4514] * vX_[87] +
+ vX_[3949] * vX_[156] + vX_[1301] * vX_[91] + vX_[5436] * vX_[81] + vX_[5114] * vX_[155] +
+ vX_[5456] * vX_[85] + vX_[1458] * vX_[74] + vX_[4558] * vX_[86] + vX_[5848] * vX_[80] +
+ vX_[5210] * vX_[92] + vX_[5136] * vX_[95] + vX_[5419] * vX_[119] + vX_[4984] * vX_[121] +
+ vX_[5132] * vX_[146] + vX_[5132] * vX_[147] + vX_[4716] * vX_[145] + vX_[5438] * vX_[118] +
+ vX_[4343] * vX_[115] + vX_[2828] * vX_[4092] + vX_[2739] * vX_[4085]) +
+ vX_[5552] * vX_[1] + vX_[5518] * vX_[1009] + vX_[5486] * vX_[779] + vX_[6547] * vX_[1016] +
+ vX_[4390] * vX_[1012] + vX_[5974] * vX_[787] + vX_[5088] * vX_[784] + vX_[5538] * vX_[961] +
+ vX_[5501] * vX_[51] + vX_[4337] * vX_[1023] + vX_[5135] * vX_[1021] + vX_[5006] * vX_[794] +
+ vX_[5026] * vX_[792] + vX_[5435] * vX_[961] + vX_[5024] * vX_[1] + vX_[5147] * vX_[126] +
+ vX_[5431] * vX_[7] + vX_[5481] * vX_[819] + vX_[3948] * vX_[972] + (0 - vX_[5521]) * 0.35 +
+ vX_[5113] * vX_[7] * 0.33 + vX_[5174] * vX_[866] + vX_[5158] * vX_[887] + (0 - vX_[2846]) * 0.35 +
+ vX_[5121] * vX_[7] * 0.33 + vX_[5489] * vX_[906] + vX_[5013] * vX_[898] + vX_[2751] * vX_[852] +
+ vX_[5126] * vX_[846] + vX_[5139] * vX_[860] + vX_[4391] * vX_[850] + vX_[5127] * vX_[848] +
+ vX_[5096] * vX_[854] + vX_[2651] * vX_[51] * 0.33 + vX_[4378] * vX_[51] * 0.33 +
+ vX_[5173] * vX_[941] + vX_[4775] * vX_[932] + (0 - vX_[5522]) * 0.35 + vX_[5433] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[4727] = vX_[2038] * vX_[126] + vX_[5862] * vX_[1] + vX_[8797] * vX_[141] + vX_[4412] * vX_[127] +
+ vX_[4727] * vX_[27] + vX_[5886] * vX_[3839];
+ vX_[4412] = 0 - vX_[4727];
+ vX_[4706] = 0 - (vX_[5865] * vX_[139] + vX_[4985] * vX_[126] + vX_[1927] * vX_[1] + vX_[5860] * vX_[27] +
+ vX_[4706] * vX_[127] + vX_[4778] * vX_[141] + vX_[5885] * vX_[3839] + vX_[5889] * vX_[3820]);
+ vX_[5723] = vX_[5873] + vX_[5723] * vX_[139] + vX_[1927] * vX_[126];
+ vX_[5246] = vX_[5723] + vX_[5246] * vX_[27] + vX_[4287] * vX_[141] + vX_[5889] * vX_[3839];
+ vX_[4287] = 0 - vX_[5246];
+ vX_[836] =
+ vX_[3581] + vX_[836] * vX_[27] + vX_[5724] * vX_[141] * 2. + vX_[5889] * vX_[3911] + vX_[5892] * vX_[3839];
+ vX_[5724] = 0 - vX_[836];
+ vX_[4340] = vX_[4726] + vX_[4685] * vX_[27] + vX_[4340] * vX_[141] + vX_[5889] * vX_[3894] + vX_[5894] * vX_[3839];
+ vX_[4726] = 0 - vX_[4340];
+ vX_[4685] = (vX_[4287] * vX_[88] + vX_[5724] * vX_[148] + vX_[4726] * vX_[157]) * 1 / vX_[123];
+ vX_[4287] = vX_[5890] * vX_[4055] + vX_[4412] * vX_[136] + vX_[4706] * vX_[124] + vX_[4287] * vX_[151] + vX_[4685];
+ vX_[4734] = vX_[5209] + vX_[5220] * vX_[127] + vX_[4734] * vX_[27] * 2. + vX_[5886] * vX_[3894];
+ vX_[5209] = vX_[4734] * vX_[76] + vX_[4340] * vX_[4];
+ vX_[3581] = vX_[4734] * vX_[4] + vX_[4340] * vX_[75];
+ vX_[4731] = vX_[4267] + vX_[4731] * vX_[27] + vX_[4693] * vX_[127] * 2. + vX_[5886] * vX_[3911];
+ vX_[935] = 0 - (0 - (vX_[2038] * vX_[139] + vX_[2029] * vX_[126]) + vX_[5197] * vX_[141] + vX_[5287] * vX_[27] +
+ vX_[935] * vX_[127] + vX_[5886] * vX_[3820]);
+ vX_[5865] = vX_[5873] + vX_[5865] * vX_[126] + vX_[5867] * vX_[1];
+ vX_[4800] = 0 - (vX_[5865] + vX_[4800] * vX_[127] + vX_[4746] * vX_[141] + vX_[5885] * vX_[3820]);
+ vX_[4721] =
+ 0 - (vX_[4721] + vX_[5837] * vX_[127] + vX_[5220] * vX_[141] + vX_[5885] * vX_[3911] + vX_[5892] * vX_[3820]);
+ vX_[4720] =
+ vX_[4684] + vX_[4720] * vX_[127] + vX_[6486] * vX_[141] * 2. + vX_[5885] * vX_[3894] + vX_[5894] * vX_[3820];
+ vX_[4684] = 0 - vX_[4720];
+ vX_[4706] =
+ (vX_[4800] * vX_[97] + vX_[4706] * vX_[88] + vX_[4721] * vX_[148] + vX_[4684] * vX_[157]) * 1 / vX_[123];
+ vX_[4800] = 0 - vX_[4731] + vX_[5888] * vX_[4055] + vX_[935] * vX_[136] + vX_[4800] * vX_[124] + vX_[4706];
+ vX_[5885] = 0 - vX_[4734];
+ vX_[5220] = vX_[5220] + vX_[5892] * vX_[3894] + vX_[5894] * vX_[3911];
+ vX_[5837] = 0 - vX_[5220];
+ vX_[6486] = vX_[6486] + vX_[5894] * vX_[3894];
+ vX_[4746] = 0 - vX_[6486];
+ vX_[5867] = vX_[4746] * vX_[157] * 1 / vX_[123];
+ vX_[4746] = vX_[5895] * vX_[4055] + vX_[5885] * vX_[136] + vX_[4684] * vX_[124] + vX_[4726] * vX_[151] +
+ vX_[5837] * vX_[512] + vX_[4746] * vX_[521] + vX_[5867];
+ vX_[4684] = 0 - vX_[4731];
+ vX_[4693] = vX_[4693] + vX_[5892] * vX_[3911];
+ vX_[4726] = 0 - vX_[4693];
+ vX_[5837] = (vX_[4726] * vX_[148] + vX_[5837] * vX_[157]) * 1 / vX_[123];
+ vX_[4726] = vX_[5893] * vX_[4055] + vX_[4684] * vX_[136] + vX_[4721] * vX_[124] + vX_[5724] * vX_[151] +
+ vX_[4726] * vX_[512] + vX_[5837];
+ vX_[5865] = vX_[3726] + vX_[5440] + vX_[5873] - vX_[5865] - vX_[5723] + vX_[5372] * vX_[127] + vX_[5447] * vX_[27];
+ vX_[5723] = vX_[5865] - vX_[5246];
+ vX_[5447] = vX_[5723] * vX_[76] + vX_[4727] * vX_[4];
+ vX_[5372] = vX_[5723] * vX_[4] + vX_[4727] * vX_[75];
+ vX_[5865] = 0 - vX_[5865];
+ vX_[4684] = (vX_[5865] * vX_[135] + vX_[935] * vX_[97] + vX_[4412] * vX_[88] + vX_[4684] * vX_[148] +
+ vX_[5885] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[5865] = vX_[5887] * vX_[4055] + vX_[5865] * vX_[136] + vX_[4684];
+ vX_[5885] = vX_[4287] * vX_[4] + vX_[5865] * vX_[76];
+ vX_[935] = vX_[4287] * vX_[75] + vX_[5865] * vX_[4];
+ vX_[4720] = vX_[836] - vX_[4720];
+ vX_[4684] = 0 - vX_[5887] * vX_[3821] - vX_[5888] * vX_[4093] - vX_[5890] * vX_[780] - vX_[5891] * vX_[3741] +
+ vX_[5891] * vX_[4055] - vX_[5893] * vX_[771] - vX_[5895] * vX_[4041] - vX_[4684] * vX_[136] -
+ vX_[4706] * vX_[124] - vX_[4685] * vX_[151] - vX_[5837] * vX_[512] - vX_[5867] * vX_[521];
+ vX_[5837] = 0 - vX_[6486] + vX_[4684];
+ vX_[5867] = vX_[5837] * vX_[76] + vX_[4746] * vX_[4];
+ vX_[4706] = vX_[5837] * vX_[4] + vX_[4746] * vX_[75];
+ vX_[4685] = vX_[5867] * vX_[4] + vX_[4706] * vX_[76];
+ vX_[5895] = vX_[6486] + vX_[5867] * vX_[76];
+ vX_[5893] = vX_[6486] + vX_[4706] * vX_[4];
+ vX_[4684] = vX_[4693] + vX_[6486] + vX_[4684] - vX_[5895] - vX_[5893];
+ vX_[4693] = 0 - vX_[4684];
+ vX_[6486] = vX_[4731] * vX_[76] + vX_[836] * vX_[4];
+ vX_[5891] = vX_[6486] + vX_[4693] * vX_[89];
+ vX_[5890] = 0 - vX_[5891];
+ vX_[6486] = 0 - (vX_[4720] * vX_[4] + vX_[4800] * vX_[75]) + vX_[6486];
+ vX_[5888] = vX_[4731] * vX_[4] + vX_[836] * vX_[75];
+ vX_[5887] = vX_[5888] + vX_[4684] * vX_[93];
+ vX_[4412] = 0 - vX_[5887];
+ vX_[5873] = 0 - (vX_[5220] * vX_[4] + vX_[4726] * vX_[75]) + vX_[5220] * vX_[4] * 2.;
+ vX_[5440] = 0 - vX_[5873];
+ vX_[3726] = vX_[5220] * vX_[76] + vX_[4726] * vX_[4] + vX_[5220] * vX_[75] * 2.;
+ vX_[4721] = 0 - vX_[3726];
+ vX_[5931] = vX_[5931] * vX_[1993];
+ vX_[5930] = vX_[5930] * vX_[1993] + vX_[5924] * vX_[975];
+ vX_[5924] = 0 - vX_[5930];
+ vX_[5925] = vX_[5925] * vX_[975];
+ vX_[5724] = 0 - vX_[5940];
+ vX_[2029] = vX_[5724] * x_in[19] + vX_[4733] * x_in[20];
+ vX_[2038] = vX_[4818] * x_in[35];
+ vX_[5287] = 0 - vX_[2038];
+ vX_[5197] = vX_[4818] * x_in[34];
+ vX_[4267] = 0 - vX_[5197];
+ vX_[5950] = vX_[5923] * vX_[1975] + vX_[5950] * vX_[1986];
+ vX_[5951] = vX_[5951] * vX_[937];
+ vX_[5923] = 0 - vX_[5893];
+ vX_[5888] = vX_[4720] * vX_[76] + vX_[4800] * vX_[4] + vX_[5888];
+ vX_[1927] = 0 - vX_[4685];
+ vX_[4985] = 0 - vX_[5893];
+ vX_[5860] = 0 - vX_[5931] - vX_[5925];
+ vX_[4778] = 0 - vX_[5950];
+ vX_[8797] = 0 - vX_[2029];
+ vX_[5862] = 0 - vX_[5951];
+ jac[604] = 0 -
+ (vX_[5889] * vX_[4039] + vX_[5894] * vX_[3893] + vX_[4727] * vX_[131] + vX_[4287] * vX_[81] +
+ vX_[836] * vX_[144] + vX_[4340] * vX_[156] + vX_[5209] * vX_[85] + vX_[3581] * vX_[74] +
+ vX_[4800] * vX_[92] + vX_[4746] * vX_[119] + vX_[5220] * vX_[564] + vX_[4726] * vX_[147] +
+ vX_[5291] * vX_[3880] + vX_[1979] * vX_[4092] - (vX_[5886] * vX_[4075] + vX_[5434] * vX_[4095]) +
+ (vX_[5892] * vX_[4075] + vX_[5434] * vX_[4104]) * 0.08 -
+ (vX_[5896] * vX_[4040] + vX_[5723] * vX_[133] + vX_[5447] * vX_[132] + vX_[5372] * vX_[102] +
+ vX_[4731] * vX_[91] + vX_[4734] * vX_[155] + vX_[5865] * vX_[87] + vX_[5885] * vX_[86] +
+ vX_[935] * vX_[80] + vX_[4720] * vX_[95] + vX_[5837] * vX_[121] + vX_[5220] * vX_[145] +
+ vX_[5867] * vX_[71] + vX_[4706] * vX_[118] +
+ (vX_[4685] * vX_[94] + vX_[4693] * vX_[104] + vX_[5895] * vX_[90] + vX_[5890] * vX_[100] +
+ (vX_[6486] + vX_[5895] * vX_[89]) * 4.027 + vX_[4412] * vX_[102] + vX_[5440] * vX_[86] +
+ vX_[4721] * vX_[85] + vX_[4685] * vX_[69] + vX_[5895] * vX_[120]) *
+ 0.08 +
+ vX_[2003] * vX_[4085]) +
+ vX_[4735] * vX_[767] + vX_[5654] * vX_[126] - vX_[5931] * vX_[51] + vX_[5932] * 0.35 +
+ vX_[4718] * vX_[1015] + vX_[4759] * vX_[1013] + vX_[5131] * vX_[786] + vX_[5914] * vX_[783] +
+ vX_[5567] * vX_[959] + vX_[5232] * vX_[978] + vX_[5924] * vX_[7] + vX_[4715] * vX_[1024] +
+ vX_[4717] * vX_[1020] + vX_[5430] * vX_[795] + vX_[5445] * vX_[784] + vX_[6152] * vX_[965] +
+ vX_[5004] * vX_[1] + vX_[4741] * vX_[126] - vX_[5925] * vX_[51] + vX_[5927] * vX_[823] +
+ vX_[1181] * vX_[821] + vX_[5935] * vX_[974] + vX_[5926] * vX_[970] + vX_[5268] * vX_[870] +
+ vX_[1307] * vX_[868] + vX_[5215] * vX_[889] + vX_[5217] * vX_[885] + vX_[2029] * vX_[51] * -0.33 +
+ vX_[1545] * vX_[904] + vX_[1235] * vX_[896] + vX_[4704] * vX_[902] + vX_[5214] * vX_[848] +
+ vX_[4701] * vX_[858] + vX_[4274] * vX_[846] + vX_[1539] * vX_[856] + vX_[5491] * vX_[852] +
+ vX_[5287] * vX_[7] * 0.33 + (0 - vX_[5197]) * 0.35 + vX_[4267] * vX_[7] * 0.33 +
+ vX_[6181] * vX_[945] + vX_[5231] * vX_[943] + vX_[4276] * vX_[934] + vX_[4258] * vX_[930] +
+ (vX_[5950] * vX_[51] + vX_[5951] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[5889] * vX_[4075] + vX_[5434] * vX_[3880]) - (vX_[5886] * vX_[4039] + vX_[5291] * vX_[4095]) +
+ (vX_[5892] * vX_[4039] + vX_[4684] * vX_[103] + vX_[5923] * vX_[94] + vX_[5891] * vX_[102] +
+ vX_[5887] * vX_[101] + (0 - (vX_[5888] + vX_[4685] * vX_[89] + vX_[5923] * vX_[93])) * 4.027 +
+ vX_[5873] * vX_[80] + vX_[3726] * vX_[74] + vX_[1927] * vX_[82] + vX_[4985] * vX_[114] +
+ vX_[5291] * vX_[4104]) *
+ 0.08 -
+ (vX_[5896] * vX_[3893] + vX_[5894] * vX_[4040] + vX_[5723] * vX_[131] + vX_[4727] * vX_[133] +
+ vX_[5447] * vX_[102] + vX_[5372] * vX_[130] + vX_[4731] * vX_[144] + vX_[4287] * vX_[87] +
+ vX_[4734] * vX_[156] + vX_[836] * vX_[91] + vX_[5865] * vX_[81] + vX_[4340] * vX_[155] +
+ vX_[5885] * vX_[85] + vX_[935] * vX_[74] + vX_[5209] * vX_[86] + vX_[3581] * vX_[80] +
+ vX_[4720] * vX_[92] + vX_[4800] * vX_[95] + vX_[5837] * vX_[119] + vX_[4746] * vX_[121] +
+ vX_[5220] * vX_[146] + vX_[5220] * vX_[147] + vX_[4726] * vX_[145] + vX_[5867] * vX_[118] +
+ vX_[4706] * vX_[115] + vX_[2003] * vX_[4092] + vX_[1979] * vX_[4085]) +
+ vX_[4767] * vX_[1] + vX_[5947] * vX_[1009] + vX_[5915] * vX_[779] + vX_[4718] * vX_[1016] +
+ vX_[4759] * vX_[1012] + vX_[5131] * vX_[787] + vX_[5507] * vX_[784] + vX_[4696] * vX_[961] +
+ vX_[5930] * vX_[51] + vX_[4730] * vX_[1023] + vX_[4717] * vX_[1021] + vX_[5425] * vX_[794] +
+ vX_[5445] * vX_[792] + vX_[5864] * vX_[961] + vX_[5443] * vX_[1] + vX_[4742] * vX_[126] +
+ vX_[5860] * vX_[7] + vX_[5910] * vX_[819] + vX_[4710] * vX_[972] + (0 - vX_[5950]) * 0.35 +
+ vX_[4778] * vX_[7] * 0.33 + vX_[6127] * vX_[866] + vX_[4699] * vX_[887] + (0 - vX_[2029]) * 0.35 +
+ vX_[8797] * vX_[7] * 0.33 + vX_[5918] * vX_[906] + vX_[5432] * vX_[898] + vX_[1972] * vX_[852] +
+ vX_[4273] * vX_[846] + vX_[4694] * vX_[860] + vX_[4409] * vX_[850] + vX_[4762] * vX_[848] +
+ vX_[5515] * vX_[854] + vX_[2038] * vX_[51] * 0.33 + vX_[5197] * vX_[51] * 0.33 +
+ vX_[4712] * vX_[941] + vX_[4259] * vX_[932] + (0 - vX_[5951]) * 0.35 + vX_[5862] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[4073] = vX_[1933] * vX_[126] + vX_[6291] * vX_[1] + vX_[3872] * vX_[141] + vX_[4291] * vX_[127] +
+ vX_[4073] * vX_[27] + vX_[6315] * vX_[3839];
+ vX_[4291] = 0 - vX_[4073];
+ vX_[4288] = 0 - (vX_[6294] * vX_[139] + vX_[4301] * vX_[126] + vX_[1238] * vX_[1] + vX_[6289] * vX_[27] +
+ vX_[4288] * vX_[127] + vX_[4302] * vX_[141] + vX_[6314] * vX_[3839] + vX_[6318] * vX_[3820]);
+ vX_[1665] = vX_[6302] + vX_[1665] * vX_[139] + vX_[1238] * vX_[126];
+ vX_[3896] = vX_[1665] + vX_[3896] * vX_[27] + vX_[4297] * vX_[141] + vX_[6318] * vX_[3839];
+ vX_[4297] = 0 - vX_[3896];
+ vX_[7850] =
+ vX_[4317] + vX_[7850] * vX_[27] + vX_[5182] * vX_[141] * 2. + vX_[6318] * vX_[3911] + vX_[6321] * vX_[3839];
+ vX_[5182] = 0 - vX_[7850];
+ vX_[4305] = vX_[2453] + vX_[2105] * vX_[27] + vX_[4305] * vX_[141] + vX_[6318] * vX_[3894] + vX_[6323] * vX_[3839];
+ vX_[2453] = 0 - vX_[4305];
+ vX_[2105] = (vX_[4297] * vX_[88] + vX_[5182] * vX_[148] + vX_[2453] * vX_[157]) * 1 / vX_[123];
+ vX_[4297] = vX_[6319] * vX_[4055] + vX_[4291] * vX_[136] + vX_[4288] * vX_[124] + vX_[4297] * vX_[151] + vX_[2105];
+ vX_[5622] = vX_[4255] + vX_[5426] * vX_[127] + vX_[5622] * vX_[27] * 2. + vX_[6315] * vX_[3894];
+ vX_[4255] = vX_[5622] * vX_[76] + vX_[4305] * vX_[4];
+ vX_[4317] = vX_[5622] * vX_[4] + vX_[4305] * vX_[75];
+ vX_[4278] = vX_[3903] + vX_[4278] * vX_[27] + vX_[5191] * vX_[127] * 2. + vX_[6315] * vX_[3911];
+ vX_[7909] = 0 - (0 - (vX_[1933] * vX_[139] + vX_[1764] * vX_[126]) + vX_[4290] * vX_[141] + vX_[4757] * vX_[27] +
+ vX_[7909] * vX_[127] + vX_[6315] * vX_[3820]);
+ vX_[6294] = vX_[6302] + vX_[6294] * vX_[126] + vX_[6296] * vX_[1];
+ vX_[4286] = 0 - (vX_[6294] + vX_[4286] * vX_[127] + vX_[5249] * vX_[141] + vX_[6314] * vX_[3820]);
+ vX_[2858] =
+ 0 - (vX_[2858] + vX_[6267] * vX_[127] + vX_[5426] * vX_[141] + vX_[6314] * vX_[3911] + vX_[6321] * vX_[3820]);
+ vX_[4890] =
+ vX_[5223] + vX_[4890] * vX_[127] + vX_[5633] * vX_[141] * 2. + vX_[6314] * vX_[3894] + vX_[6323] * vX_[3820];
+ vX_[5223] = 0 - vX_[4890];
+ vX_[4288] =
+ (vX_[4286] * vX_[97] + vX_[4288] * vX_[88] + vX_[2858] * vX_[148] + vX_[5223] * vX_[157]) * 1 / vX_[123];
+ vX_[4286] = 0 - vX_[4278] + vX_[6317] * vX_[4055] + vX_[7909] * vX_[136] + vX_[4286] * vX_[124] + vX_[4288];
+ vX_[6314] = 0 - vX_[5622];
+ vX_[5426] = vX_[5426] + vX_[6321] * vX_[3894] + vX_[6323] * vX_[3911];
+ vX_[6267] = 0 - vX_[5426];
+ vX_[5633] = vX_[5633] + vX_[6323] * vX_[3894];
+ vX_[5249] = 0 - vX_[5633];
+ vX_[6296] = vX_[5249] * vX_[157] * 1 / vX_[123];
+ vX_[5249] = vX_[6324] * vX_[4055] + vX_[6314] * vX_[136] + vX_[5223] * vX_[124] + vX_[2453] * vX_[151] +
+ vX_[6267] * vX_[512] + vX_[5249] * vX_[521] + vX_[6296];
+ vX_[5223] = 0 - vX_[4278];
+ vX_[5191] = vX_[5191] + vX_[6321] * vX_[3911];
+ vX_[2453] = 0 - vX_[5191];
+ vX_[6267] = (vX_[2453] * vX_[148] + vX_[6267] * vX_[157]) * 1 / vX_[123];
+ vX_[2453] = vX_[6322] * vX_[4055] + vX_[5223] * vX_[136] + vX_[2858] * vX_[124] + vX_[5182] * vX_[151] +
+ vX_[2453] * vX_[512] + vX_[6267];
+ vX_[6294] = vX_[1310] + vX_[5869] + vX_[6302] - vX_[6294] - vX_[1665] + vX_[6484] * vX_[127] + vX_[5876] * vX_[27];
+ vX_[1665] = vX_[6294] - vX_[3896];
+ vX_[5876] = vX_[1665] * vX_[76] + vX_[4073] * vX_[4];
+ vX_[6484] = vX_[1665] * vX_[4] + vX_[4073] * vX_[75];
+ vX_[6294] = 0 - vX_[6294];
+ vX_[5223] = (vX_[6294] * vX_[135] + vX_[7909] * vX_[97] + vX_[4291] * vX_[88] + vX_[5223] * vX_[148] +
+ vX_[6314] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[6294] = vX_[6316] * vX_[4055] + vX_[6294] * vX_[136] + vX_[5223];
+ vX_[6314] = vX_[4297] * vX_[4] + vX_[6294] * vX_[76];
+ vX_[7909] = vX_[4297] * vX_[75] + vX_[6294] * vX_[4];
+ vX_[4890] = vX_[7850] - vX_[4890];
+ vX_[5223] = 0 - vX_[6316] * vX_[3821] - vX_[6317] * vX_[4093] - vX_[6319] * vX_[780] - vX_[6320] * vX_[3741] +
+ vX_[6320] * vX_[4055] - vX_[6322] * vX_[771] - vX_[6324] * vX_[4041] - vX_[5223] * vX_[136] -
+ vX_[4288] * vX_[124] - vX_[2105] * vX_[151] - vX_[6267] * vX_[512] - vX_[6296] * vX_[521];
+ vX_[6267] = 0 - vX_[5633] + vX_[5223];
+ vX_[6296] = vX_[6267] * vX_[76] + vX_[5249] * vX_[4];
+ vX_[4288] = vX_[6267] * vX_[4] + vX_[5249] * vX_[75];
+ vX_[2105] = vX_[6296] * vX_[4] + vX_[4288] * vX_[76];
+ vX_[6324] = vX_[5633] + vX_[6296] * vX_[76];
+ vX_[6322] = vX_[5633] + vX_[4288] * vX_[4];
+ vX_[5223] = vX_[5191] + vX_[5633] + vX_[5223] - vX_[6324] - vX_[6322];
+ vX_[5191] = 0 - vX_[5223];
+ vX_[5633] = vX_[4278] * vX_[76] + vX_[7850] * vX_[4];
+ vX_[6320] = vX_[5633] + vX_[5191] * vX_[89];
+ vX_[6319] = 0 - vX_[6320];
+ vX_[5633] = 0 - (vX_[4890] * vX_[4] + vX_[4286] * vX_[75]) + vX_[5633];
+ vX_[6317] = vX_[4278] * vX_[4] + vX_[7850] * vX_[75];
+ vX_[6316] = vX_[6317] + vX_[5223] * vX_[93];
+ vX_[4291] = 0 - vX_[6316];
+ vX_[6302] = 0 - (vX_[5426] * vX_[4] + vX_[2453] * vX_[75]) + vX_[5426] * vX_[4] * 2.;
+ vX_[5869] = 0 - vX_[6302];
+ vX_[1310] = vX_[5426] * vX_[76] + vX_[2453] * vX_[4] + vX_[5426] * vX_[75] * 2.;
+ vX_[2858] = 0 - vX_[1310];
+ vX_[6360] = vX_[6360] * vX_[1993];
+ vX_[6359] = vX_[6359] * vX_[1993] + vX_[6353] * vX_[975];
+ vX_[6353] = 0 - vX_[6359];
+ vX_[6354] = vX_[6354] * vX_[975];
+ vX_[5182] = 0 - vX_[6369];
+ vX_[1764] = vX_[5182] * x_in[19] + vX_[3992] * x_in[20];
+ vX_[1933] = vX_[5618] * x_in[35];
+ vX_[4757] = 0 - vX_[1933];
+ vX_[4290] = vX_[5618] * x_in[34];
+ vX_[3903] = 0 - vX_[4290];
+ vX_[6379] = vX_[6352] * vX_[1975] + vX_[6379] * vX_[1986];
+ vX_[6380] = vX_[6380] * vX_[937];
+ vX_[6352] = 0 - vX_[6322];
+ vX_[6317] = vX_[4890] * vX_[76] + vX_[4286] * vX_[4] + vX_[6317];
+ vX_[1238] = 0 - vX_[2105];
+ vX_[4301] = 0 - vX_[6322];
+ vX_[6289] = 0 - vX_[6360] - vX_[6354];
+ vX_[4302] = 0 - vX_[6379];
+ vX_[3872] = 0 - vX_[1764];
+ vX_[6291] = 0 - vX_[6380];
+ jac[605] = 0 -
+ (vX_[6318] * vX_[4039] + vX_[6323] * vX_[3893] + vX_[4073] * vX_[131] + vX_[4297] * vX_[81] +
+ vX_[7850] * vX_[144] + vX_[4305] * vX_[156] + vX_[4255] * vX_[85] + vX_[4317] * vX_[74] +
+ vX_[4286] * vX_[92] + vX_[5249] * vX_[119] + vX_[5426] * vX_[564] + vX_[2453] * vX_[147] +
+ vX_[5710] * vX_[3880] + vX_[3743] * vX_[4092] - (vX_[6315] * vX_[4075] + vX_[5863] * vX_[4095]) +
+ (vX_[6321] * vX_[4075] + vX_[5863] * vX_[4104]) * 0.08 -
+ (vX_[6325] * vX_[4040] + vX_[1665] * vX_[133] + vX_[5876] * vX_[132] + vX_[6484] * vX_[102] +
+ vX_[4278] * vX_[91] + vX_[5622] * vX_[155] + vX_[6294] * vX_[87] + vX_[6314] * vX_[86] +
+ vX_[7909] * vX_[80] + vX_[4890] * vX_[95] + vX_[6267] * vX_[121] + vX_[5426] * vX_[145] +
+ vX_[6296] * vX_[71] + vX_[4288] * vX_[118] +
+ (vX_[2105] * vX_[94] + vX_[5191] * vX_[104] + vX_[6324] * vX_[90] + vX_[6319] * vX_[100] +
+ (vX_[5633] + vX_[6324] * vX_[89]) * 4.027 + vX_[4291] * vX_[102] + vX_[5869] * vX_[86] +
+ vX_[2858] * vX_[85] + vX_[2105] * vX_[69] + vX_[6324] * vX_[120]) *
+ 0.08 +
+ vX_[992] * vX_[4085]) +
+ vX_[4300] * vX_[767] + vX_[4284] * vX_[126] - vX_[6360] * vX_[51] + vX_[6361] * 0.35 +
+ vX_[4313] * vX_[1015] + vX_[4312] * vX_[1013] + vX_[4692] * vX_[786] + vX_[6343] * vX_[783] +
+ vX_[6948] * vX_[959] + vX_[4281] * vX_[978] + vX_[6353] * vX_[7] + vX_[5668] * vX_[1024] +
+ vX_[4861] * vX_[1020] + vX_[5859] * vX_[795] + vX_[5874] * vX_[784] + vX_[4719] * vX_[965] +
+ vX_[1548] * vX_[1] + vX_[4268] * vX_[126] - vX_[6354] * vX_[51] + vX_[6356] * vX_[823] +
+ vX_[7920] * vX_[821] + vX_[6364] * vX_[974] + vX_[6355] * vX_[970] + vX_[4277] * vX_[870] +
+ vX_[1375] * vX_[868] + vX_[4271] * vX_[889] + vX_[5832] * vX_[885] + vX_[1764] * vX_[51] * -0.33 +
+ vX_[910] * vX_[904] + vX_[9100] * vX_[896] + vX_[6049] * vX_[902] + vX_[6477] * vX_[848] +
+ vX_[3861] * vX_[858] + vX_[6046] * vX_[846] + vX_[921] * vX_[856] + vX_[5920] * vX_[852] +
+ vX_[4757] * vX_[7] * 0.33 + (0 - vX_[4290]) * 0.35 + vX_[3903] * vX_[7] * 0.33 +
+ vX_[6610] * vX_[945] + vX_[6106] * vX_[943] + vX_[5850] * vX_[934] + vX_[3849] * vX_[930] +
+ (vX_[6379] * vX_[51] + vX_[6380] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[6318] * vX_[4075] + vX_[5863] * vX_[3880]) - (vX_[6315] * vX_[4039] + vX_[5710] * vX_[4095]) +
+ (vX_[6321] * vX_[4039] + vX_[5223] * vX_[103] + vX_[6352] * vX_[94] + vX_[6320] * vX_[102] +
+ vX_[6316] * vX_[101] + (0 - (vX_[6317] + vX_[2105] * vX_[89] + vX_[6352] * vX_[93])) * 4.027 +
+ vX_[6302] * vX_[80] + vX_[1310] * vX_[74] + vX_[1238] * vX_[82] + vX_[4301] * vX_[114] +
+ vX_[5710] * vX_[4104]) *
+ 0.08 -
+ (vX_[6325] * vX_[3893] + vX_[6323] * vX_[4040] + vX_[1665] * vX_[131] + vX_[4073] * vX_[133] +
+ vX_[5876] * vX_[102] + vX_[6484] * vX_[130] + vX_[4278] * vX_[144] + vX_[4297] * vX_[87] +
+ vX_[5622] * vX_[156] + vX_[7850] * vX_[91] + vX_[6294] * vX_[81] + vX_[4305] * vX_[155] +
+ vX_[6314] * vX_[85] + vX_[7909] * vX_[74] + vX_[4255] * vX_[86] + vX_[4317] * vX_[80] +
+ vX_[4890] * vX_[92] + vX_[4286] * vX_[95] + vX_[6267] * vX_[119] + vX_[5249] * vX_[121] +
+ vX_[5426] * vX_[146] + vX_[5426] * vX_[147] + vX_[2453] * vX_[145] + vX_[6296] * vX_[118] +
+ vX_[4288] * vX_[115] + vX_[992] * vX_[4092] + vX_[3743] * vX_[4085]) +
+ vX_[4261] * vX_[1] + vX_[6376] * vX_[1009] + vX_[6344] * vX_[779] + vX_[4313] * vX_[1016] +
+ vX_[4312] * vX_[1012] + vX_[4692] * vX_[787] + vX_[5936] * vX_[784] + vX_[4318] * vX_[961] +
+ vX_[6359] * vX_[51] + vX_[5616] * vX_[1023] + vX_[4861] * vX_[1021] + vX_[5854] * vX_[794] +
+ vX_[5874] * vX_[792] + vX_[6293] * vX_[961] + vX_[5872] * vX_[1] + vX_[4269] * vX_[126] +
+ vX_[6289] * vX_[7] + vX_[6339] * vX_[819] + vX_[4265] * vX_[972] + (0 - vX_[6379]) * 0.35 +
+ vX_[4302] * vX_[7] * 0.33 + vX_[4289] * vX_[866] + vX_[4490] * vX_[887] + (0 - vX_[1764]) * 0.35 +
+ vX_[3872] * vX_[7] * 0.33 + vX_[6347] * vX_[906] + vX_[5861] * vX_[898] + vX_[833] * vX_[852] +
+ vX_[3848] * vX_[846] + vX_[3859] * vX_[860] + vX_[3844] * vX_[850] + vX_[4546] * vX_[848] +
+ vX_[5944] * vX_[854] + vX_[1933] * vX_[51] * 0.33 + vX_[4290] * vX_[51] * 0.33 +
+ vX_[4447] * vX_[941] + vX_[5839] * vX_[932] + (0 - vX_[6380]) * 0.35 + vX_[6291] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[6220] = vX_[1227] * vX_[126] + vX_[6710] * vX_[1] + vX_[3882] * vX_[141] + vX_[6063] * vX_[127] +
+ vX_[6220] * vX_[27] + vX_[6734] * vX_[3839];
+ vX_[6063] = 0 - vX_[6220];
+ vX_[6472] = 0 - (vX_[6713] * vX_[139] + vX_[4411] * vX_[126] + vX_[7934] * vX_[1] + vX_[6708] * vX_[27] +
+ vX_[6472] * vX_[127] + vX_[3863] * vX_[141] + vX_[6733] * vX_[3839] + vX_[6737] * vX_[3820]);
+ vX_[3594] = vX_[6721] + vX_[3594] * vX_[139] + vX_[7934] * vX_[126];
+ vX_[3883] = vX_[3594] + vX_[3883] * vX_[27] + vX_[2192] * vX_[141] + vX_[6737] * vX_[3839];
+ vX_[2192] = 0 - vX_[3883];
+ vX_[6626] =
+ vX_[4873] + vX_[6626] * vX_[27] + vX_[4078] * vX_[141] * 2. + vX_[6737] * vX_[3911] + vX_[6740] * vX_[3839];
+ vX_[4078] = 0 - vX_[6626];
+ vX_[3635] = vX_[3900] + vX_[3890] * vX_[27] + vX_[3635] * vX_[141] + vX_[6737] * vX_[3894] + vX_[6742] * vX_[3839];
+ vX_[3900] = 0 - vX_[3635];
+ vX_[3890] = (vX_[2192] * vX_[88] + vX_[4078] * vX_[148] + vX_[3900] * vX_[157]) * 1 / vX_[123];
+ vX_[2192] = vX_[6738] * vX_[4055] + vX_[6063] * vX_[136] + vX_[6472] * vX_[124] + vX_[2192] * vX_[151] + vX_[3890];
+ vX_[3862] = vX_[6043] + vX_[3500] * vX_[127] + vX_[3862] * vX_[27] * 2. + vX_[6734] * vX_[3894];
+ vX_[6043] = vX_[3862] * vX_[76] + vX_[3635] * vX_[4];
+ vX_[4873] = vX_[3862] * vX_[4] + vX_[3635] * vX_[75];
+ vX_[3605] = vX_[3877] + vX_[3605] * vX_[27] + vX_[3841] * vX_[127] * 2. + vX_[6734] * vX_[3911];
+ vX_[6634] = 0 - (0 - (vX_[1227] * vX_[139] + vX_[1150] * vX_[126]) + vX_[6048] * vX_[141] + vX_[6214] * vX_[27] +
+ vX_[6634] * vX_[127] + vX_[6734] * vX_[3820]);
+ vX_[6713] = vX_[6721] + vX_[6713] * vX_[126] + vX_[6715] * vX_[1];
+ vX_[6483] = 0 - (vX_[6713] + vX_[6483] * vX_[127] + vX_[6085] * vX_[141] + vX_[6733] * vX_[3820]);
+ vX_[3901] =
+ 0 - (vX_[3901] + vX_[6696] * vX_[127] + vX_[3500] * vX_[141] + vX_[6733] * vX_[3911] + vX_[6740] * vX_[3820]);
+ vX_[3889] =
+ vX_[3887] + vX_[3889] * vX_[127] + vX_[3902] * vX_[141] * 2. + vX_[6733] * vX_[3894] + vX_[6742] * vX_[3820];
+ vX_[3887] = 0 - vX_[3889];
+ vX_[6472] =
+ (vX_[6483] * vX_[97] + vX_[6472] * vX_[88] + vX_[3901] * vX_[148] + vX_[3887] * vX_[157]) * 1 / vX_[123];
+ vX_[6483] = 0 - vX_[3605] + vX_[6736] * vX_[4055] + vX_[6634] * vX_[136] + vX_[6483] * vX_[124] + vX_[6472];
+ vX_[6733] = 0 - vX_[3862];
+ vX_[3500] = vX_[3500] + vX_[6740] * vX_[3894] + vX_[6742] * vX_[3911];
+ vX_[6696] = 0 - vX_[3500];
+ vX_[3902] = vX_[3902] + vX_[6742] * vX_[3894];
+ vX_[6085] = 0 - vX_[3902];
+ vX_[6715] = vX_[6085] * vX_[157] * 1 / vX_[123];
+ vX_[6085] = vX_[6743] * vX_[4055] + vX_[6733] * vX_[136] + vX_[3887] * vX_[124] + vX_[3900] * vX_[151] +
+ vX_[6696] * vX_[512] + vX_[6085] * vX_[521] + vX_[6715];
+ vX_[3887] = 0 - vX_[3605];
+ vX_[3841] = vX_[3841] + vX_[6740] * vX_[3911];
+ vX_[3900] = 0 - vX_[3841];
+ vX_[6696] = (vX_[3900] * vX_[148] + vX_[6696] * vX_[157]) * 1 / vX_[123];
+ vX_[3900] = vX_[6741] * vX_[4055] + vX_[3887] * vX_[136] + vX_[3901] * vX_[124] + vX_[4078] * vX_[151] +
+ vX_[3900] * vX_[512] + vX_[6696];
+ vX_[6713] = vX_[7806] + vX_[6298] + vX_[6721] - vX_[6713] - vX_[3594] + vX_[3876] * vX_[127] + vX_[6305] * vX_[27];
+ vX_[3594] = vX_[6713] - vX_[3883];
+ vX_[6305] = vX_[3594] * vX_[76] + vX_[6220] * vX_[4];
+ vX_[3876] = vX_[3594] * vX_[4] + vX_[6220] * vX_[75];
+ vX_[6713] = 0 - vX_[6713];
+ vX_[3887] = (vX_[6713] * vX_[135] + vX_[6634] * vX_[97] + vX_[6063] * vX_[88] + vX_[3887] * vX_[148] +
+ vX_[6733] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[6713] = vX_[6735] * vX_[4055] + vX_[6713] * vX_[136] + vX_[3887];
+ vX_[6733] = vX_[2192] * vX_[4] + vX_[6713] * vX_[76];
+ vX_[6634] = vX_[2192] * vX_[75] + vX_[6713] * vX_[4];
+ vX_[3889] = vX_[6626] - vX_[3889];
+ vX_[3887] = 0 - vX_[6735] * vX_[3821] - vX_[6736] * vX_[4093] - vX_[6738] * vX_[780] - vX_[6739] * vX_[3741] +
+ vX_[6739] * vX_[4055] - vX_[6741] * vX_[771] - vX_[6743] * vX_[4041] - vX_[3887] * vX_[136] -
+ vX_[6472] * vX_[124] - vX_[3890] * vX_[151] - vX_[6696] * vX_[512] - vX_[6715] * vX_[521];
+ vX_[6696] = 0 - vX_[3902] + vX_[3887];
+ vX_[6715] = vX_[6696] * vX_[76] + vX_[6085] * vX_[4];
+ vX_[6472] = vX_[6696] * vX_[4] + vX_[6085] * vX_[75];
+ vX_[3890] = vX_[6715] * vX_[4] + vX_[6472] * vX_[76];
+ vX_[6743] = vX_[3902] + vX_[6715] * vX_[76];
+ vX_[6741] = vX_[3902] + vX_[6472] * vX_[4];
+ vX_[3887] = vX_[3841] + vX_[3902] + vX_[3887] - vX_[6743] - vX_[6741];
+ vX_[3841] = 0 - vX_[3887];
+ vX_[3902] = vX_[3605] * vX_[76] + vX_[6626] * vX_[4];
+ vX_[6739] = vX_[3902] + vX_[3841] * vX_[89];
+ vX_[6738] = 0 - vX_[6739];
+ vX_[3902] = 0 - (vX_[3889] * vX_[4] + vX_[6483] * vX_[75]) + vX_[3902];
+ vX_[6736] = vX_[3605] * vX_[4] + vX_[6626] * vX_[75];
+ vX_[6735] = vX_[6736] + vX_[3887] * vX_[93];
+ vX_[6063] = 0 - vX_[6735];
+ vX_[6721] = 0 - (vX_[3500] * vX_[4] + vX_[3900] * vX_[75]) + vX_[3500] * vX_[4] * 2.;
+ vX_[6298] = 0 - vX_[6721];
+ vX_[7806] = vX_[3500] * vX_[76] + vX_[3900] * vX_[4] + vX_[3500] * vX_[75] * 2.;
+ vX_[3901] = 0 - vX_[7806];
+ vX_[6779] = vX_[6779] * vX_[1993];
+ vX_[6778] = vX_[6778] * vX_[1993] + vX_[6772] * vX_[975];
+ vX_[6772] = 0 - vX_[6778];
+ vX_[6773] = vX_[6773] * vX_[975];
+ vX_[4078] = 0 - vX_[6788];
+ vX_[1150] = vX_[4078] * x_in[19] + vX_[5847] * x_in[20];
+ vX_[1227] = vX_[3886] * x_in[35];
+ vX_[6214] = 0 - vX_[1227];
+ vX_[6048] = vX_[3886] * x_in[34];
+ vX_[3877] = 0 - vX_[6048];
+ vX_[6798] = vX_[6771] * vX_[1975] + vX_[6798] * vX_[1986];
+ vX_[6799] = vX_[6799] * vX_[937];
+ vX_[6771] = 0 - vX_[6741];
+ vX_[6736] = vX_[3889] * vX_[76] + vX_[6483] * vX_[4] + vX_[6736];
+ vX_[7934] = 0 - vX_[3890];
+ vX_[4411] = 0 - vX_[6741];
+ vX_[6708] = 0 - vX_[6779] - vX_[6773];
+ vX_[3863] = 0 - vX_[6798];
+ vX_[3882] = 0 - vX_[1150];
+ vX_[6710] = 0 - vX_[6799];
+ jac[606] = 0 -
+ (vX_[6737] * vX_[4039] + vX_[6742] * vX_[3893] + vX_[6220] * vX_[131] + vX_[2192] * vX_[81] +
+ vX_[6626] * vX_[144] + vX_[3635] * vX_[156] + vX_[6043] * vX_[85] + vX_[4873] * vX_[74] +
+ vX_[6483] * vX_[92] + vX_[6085] * vX_[119] + vX_[3500] * vX_[564] + vX_[3900] * vX_[147] +
+ vX_[6139] * vX_[3880] + vX_[9061] * vX_[4092] - (vX_[6734] * vX_[4075] + vX_[6292] * vX_[4095]) +
+ (vX_[6740] * vX_[4075] + vX_[6292] * vX_[4104]) * 0.08 -
+ (vX_[6744] * vX_[4040] + vX_[3594] * vX_[133] + vX_[6305] * vX_[132] + vX_[3876] * vX_[102] +
+ vX_[3605] * vX_[91] + vX_[3862] * vX_[155] + vX_[6713] * vX_[87] + vX_[6733] * vX_[86] +
+ vX_[6634] * vX_[80] + vX_[3889] * vX_[95] + vX_[6696] * vX_[121] + vX_[3500] * vX_[145] +
+ vX_[6715] * vX_[71] + vX_[6472] * vX_[118] +
+ (vX_[3890] * vX_[94] + vX_[3841] * vX_[104] + vX_[6743] * vX_[90] + vX_[6738] * vX_[100] +
+ (vX_[3902] + vX_[6743] * vX_[89]) * 4.027 + vX_[6063] * vX_[102] + vX_[6298] * vX_[86] +
+ vX_[3901] * vX_[85] + vX_[3890] * vX_[69] + vX_[6743] * vX_[120]) *
+ 0.08 +
+ vX_[9129] * vX_[4085]) +
+ vX_[3855] * vX_[767] + vX_[3860] * vX_[126] - vX_[6779] * vX_[51] + vX_[6780] * 0.35 +
+ vX_[3854] * vX_[1015] + vX_[3853] * vX_[1013] + vX_[5630] * vX_[786] + vX_[6762] * vX_[783] +
+ vX_[4136] * vX_[959] + vX_[3850] * vX_[978] + vX_[6772] * vX_[7] + vX_[3856] * vX_[1024] +
+ vX_[6649] * vX_[1020] + vX_[6288] * vX_[795] + vX_[6303] * vX_[784] + vX_[4494] * vX_[965] +
+ vX_[7955] * vX_[1] + vX_[3462] * vX_[126] - vX_[6773] * vX_[51] + vX_[6775] * vX_[823] +
+ vX_[6661] * vX_[821] + vX_[6783] * vX_[974] + vX_[6774] * vX_[970] + vX_[3873] * vX_[870] +
+ vX_[3869] * vX_[868] + vX_[3447] * vX_[889] + vX_[3448] * vX_[885] + vX_[1150] * vX_[51] * -0.33 +
+ vX_[7907] * vX_[904] + vX_[7896] * vX_[896] + vX_[3450] * vX_[902] + vX_[9089] * vX_[848] +
+ vX_[6919] * vX_[858] + vX_[2802] * vX_[846] + vX_[7913] * vX_[856] + vX_[6349] * vX_[852] +
+ vX_[6214] * vX_[7] * 0.33 + (0 - vX_[6048]) * 0.35 + vX_[3877] * vX_[7] * 0.33 +
+ vX_[7029] * vX_[945] + vX_[3897] * vX_[943] + vX_[6498] * vX_[934] + vX_[6466] * vX_[930] +
+ (vX_[6798] * vX_[51] + vX_[6799] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[6737] * vX_[4075] + vX_[6292] * vX_[3880]) - (vX_[6734] * vX_[4039] + vX_[6139] * vX_[4095]) +
+ (vX_[6740] * vX_[4039] + vX_[3887] * vX_[103] + vX_[6771] * vX_[94] + vX_[6739] * vX_[102] +
+ vX_[6735] * vX_[101] + (0 - (vX_[6736] + vX_[3890] * vX_[89] + vX_[6771] * vX_[93])) * 4.027 +
+ vX_[6721] * vX_[80] + vX_[7806] * vX_[74] + vX_[7934] * vX_[82] + vX_[4411] * vX_[114] +
+ vX_[6139] * vX_[4104]) *
+ 0.08 -
+ (vX_[6744] * vX_[3893] + vX_[6742] * vX_[4040] + vX_[3594] * vX_[131] + vX_[6220] * vX_[133] +
+ vX_[6305] * vX_[102] + vX_[3876] * vX_[130] + vX_[3605] * vX_[144] + vX_[2192] * vX_[87] +
+ vX_[3862] * vX_[156] + vX_[6626] * vX_[91] + vX_[6713] * vX_[81] + vX_[3635] * vX_[155] +
+ vX_[6733] * vX_[85] + vX_[6634] * vX_[74] + vX_[6043] * vX_[86] + vX_[4873] * vX_[80] +
+ vX_[3889] * vX_[92] + vX_[6483] * vX_[95] + vX_[6696] * vX_[119] + vX_[6085] * vX_[121] +
+ vX_[3500] * vX_[146] + vX_[3500] * vX_[147] + vX_[3900] * vX_[145] + vX_[6715] * vX_[118] +
+ vX_[6472] * vX_[115] + vX_[9129] * vX_[4092] + vX_[9061] * vX_[4085]) +
+ vX_[3456] * vX_[1] + vX_[6795] * vX_[1009] + vX_[6763] * vX_[779] + vX_[3854] * vX_[1016] +
+ vX_[3853] * vX_[1012] + vX_[5630] * vX_[787] + vX_[6365] * vX_[784] + vX_[4292] * vX_[961] +
+ vX_[6778] * vX_[51] + vX_[3857] * vX_[1023] + vX_[6649] * vX_[1021] + vX_[6283] * vX_[794] +
+ vX_[6303] * vX_[792] + vX_[6712] * vX_[961] + vX_[6301] * vX_[1] + vX_[5855] * vX_[126] +
+ vX_[6708] * vX_[7] + vX_[6758] * vX_[819] + vX_[3463] * vX_[972] + (0 - vX_[6798]) * 0.35 +
+ vX_[3863] * vX_[7] * 0.33 + vX_[3898] * vX_[866] + vX_[1945] * vX_[887] + (0 - vX_[1150]) * 0.35 +
+ vX_[3882] * vX_[7] * 0.33 + vX_[6766] * vX_[906] + vX_[6290] * vX_[898] + vX_[9059] * vX_[852] +
+ vX_[3593] * vX_[846] + vX_[6924] * vX_[860] + vX_[6933] * vX_[850] + vX_[3230] * vX_[848] +
+ vX_[6373] * vX_[854] + vX_[1227] * vX_[51] * 0.33 + vX_[6048] * vX_[51] * 0.33 +
+ vX_[3866] * vX_[941] + vX_[6918] * vX_[932] + (0 - vX_[6799]) * 0.35 + vX_[6710] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[6273] = vX_[7928] * vX_[126] + vX_[7137] * vX_[1] + vX_[3235] * vX_[141] + vX_[3493] * vX_[127] +
+ vX_[6273] * vX_[27] + vX_[7161] * vX_[3839];
+ vX_[3493] = 0 - vX_[6273];
+ vX_[1573] = 0 - (vX_[7140] * vX_[139] + vX_[3461] * vX_[126] + vX_[6659] * vX_[1] + vX_[7135] * vX_[27] +
+ vX_[1573] * vX_[127] + vX_[7471] * vX_[141] + vX_[7160] * vX_[3839] + vX_[7164] * vX_[3820]);
+ vX_[3473] = vX_[7148] + vX_[3473] * vX_[139] + vX_[6659] * vX_[126];
+ vX_[7435] = vX_[3473] + vX_[7435] * vX_[27] + vX_[3504] * vX_[141] + vX_[7164] * vX_[3839];
+ vX_[3504] = 0 - vX_[7435];
+ vX_[5363] =
+ vX_[3229] + vX_[5363] * vX_[27] + vX_[3495] * vX_[141] * 2. + vX_[7164] * vX_[3911] + vX_[7167] * vX_[3839];
+ vX_[3495] = 0 - vX_[5363];
+ vX_[3466] = vX_[3472] + vX_[6463] * vX_[27] + vX_[3466] * vX_[141] + vX_[7164] * vX_[3894] + vX_[7169] * vX_[3839];
+ vX_[3472] = 0 - vX_[3466];
+ vX_[6463] = (vX_[3504] * vX_[88] + vX_[3495] * vX_[148] + vX_[3472] * vX_[157]) * 1 / vX_[123];
+ vX_[3504] = vX_[7165] * vX_[4055] + vX_[3493] * vX_[136] + vX_[1573] * vX_[124] + vX_[3504] * vX_[151] + vX_[6463];
+ vX_[3477] = vX_[3491] + vX_[3487] * vX_[127] + vX_[3477] * vX_[27] * 2. + vX_[7161] * vX_[3894];
+ vX_[3491] = vX_[3477] * vX_[76] + vX_[3466] * vX_[4];
+ vX_[3229] = vX_[3477] * vX_[4] + vX_[3466] * vX_[75];
+ vX_[3475] = vX_[2758] + vX_[3475] * vX_[27] + vX_[6513] * vX_[127] * 2. + vX_[7161] * vX_[3911];
+ vX_[5367] = 0 - (0 - (vX_[7928] * vX_[139] + vX_[7900] * vX_[126]) + vX_[6525] * vX_[141] + vX_[3490] * vX_[27] +
+ vX_[5367] * vX_[127] + vX_[7161] * vX_[3820]);
+ vX_[7140] = vX_[7148] + vX_[7140] * vX_[126] + vX_[7142] * vX_[1];
+ vX_[3460] = 0 - (vX_[7140] + vX_[3460] * vX_[127] + vX_[6899] * vX_[141] + vX_[7160] * vX_[3820]);
+ vX_[8551] =
+ 0 - (vX_[8551] + vX_[7112] * vX_[127] + vX_[3487] * vX_[141] + vX_[7160] * vX_[3911] + vX_[7167] * vX_[3820]);
+ vX_[2406] =
+ vX_[3467] + vX_[2406] * vX_[127] + vX_[7944] * vX_[141] * 2. + vX_[7160] * vX_[3894] + vX_[7169] * vX_[3820];
+ vX_[3467] = 0 - vX_[2406];
+ vX_[1573] =
+ (vX_[3460] * vX_[97] + vX_[1573] * vX_[88] + vX_[8551] * vX_[148] + vX_[3467] * vX_[157]) * 1 / vX_[123];
+ vX_[3460] = 0 - vX_[3475] + vX_[7163] * vX_[4055] + vX_[5367] * vX_[136] + vX_[3460] * vX_[124] + vX_[1573];
+ vX_[7160] = 0 - vX_[3477];
+ vX_[3487] = vX_[3487] + vX_[7167] * vX_[3894] + vX_[7169] * vX_[3911];
+ vX_[7112] = 0 - vX_[3487];
+ vX_[7944] = vX_[7944] + vX_[7169] * vX_[3894];
+ vX_[6899] = 0 - vX_[7944];
+ vX_[7142] = vX_[6899] * vX_[157] * 1 / vX_[123];
+ vX_[6899] = vX_[7170] * vX_[4055] + vX_[7160] * vX_[136] + vX_[3467] * vX_[124] + vX_[3472] * vX_[151] +
+ vX_[7112] * vX_[512] + vX_[6899] * vX_[521] + vX_[7142];
+ vX_[3467] = 0 - vX_[3475];
+ vX_[6513] = vX_[6513] + vX_[7167] * vX_[3911];
+ vX_[3472] = 0 - vX_[6513];
+ vX_[7112] = (vX_[3472] * vX_[148] + vX_[7112] * vX_[157]) * 1 / vX_[123];
+ vX_[3472] = vX_[7168] * vX_[4055] + vX_[3467] * vX_[136] + vX_[8551] * vX_[124] + vX_[3495] * vX_[151] +
+ vX_[3472] * vX_[512] + vX_[7112];
+ vX_[7140] = vX_[6531] + vX_[6717] + vX_[7148] - vX_[7140] - vX_[3473] + vX_[6505] * vX_[127] + vX_[6724] * vX_[27];
+ vX_[3473] = vX_[7140] - vX_[7435];
+ vX_[6724] = vX_[3473] * vX_[76] + vX_[6273] * vX_[4];
+ vX_[6505] = vX_[3473] * vX_[4] + vX_[6273] * vX_[75];
+ vX_[7140] = 0 - vX_[7140];
+ vX_[3467] = (vX_[7140] * vX_[135] + vX_[5367] * vX_[97] + vX_[3493] * vX_[88] + vX_[3467] * vX_[148] +
+ vX_[7160] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[7140] = vX_[7162] * vX_[4055] + vX_[7140] * vX_[136] + vX_[3467];
+ vX_[7160] = vX_[3504] * vX_[4] + vX_[7140] * vX_[76];
+ vX_[5367] = vX_[3504] * vX_[75] + vX_[7140] * vX_[4];
+ vX_[2406] = vX_[5363] - vX_[2406];
+ vX_[3467] = 0 - vX_[7162] * vX_[3821] - vX_[7163] * vX_[4093] - vX_[7165] * vX_[780] - vX_[7166] * vX_[3741] +
+ vX_[7166] * vX_[4055] - vX_[7168] * vX_[771] - vX_[7170] * vX_[4041] - vX_[3467] * vX_[136] -
+ vX_[1573] * vX_[124] - vX_[6463] * vX_[151] - vX_[7112] * vX_[512] - vX_[7142] * vX_[521];
+ vX_[7112] = 0 - vX_[7944] + vX_[3467];
+ vX_[7142] = vX_[7112] * vX_[76] + vX_[6899] * vX_[4];
+ vX_[1573] = vX_[7112] * vX_[4] + vX_[6899] * vX_[75];
+ vX_[6463] = vX_[7142] * vX_[4] + vX_[1573] * vX_[76];
+ vX_[7170] = vX_[7944] + vX_[7142] * vX_[76];
+ vX_[7168] = vX_[7944] + vX_[1573] * vX_[4];
+ vX_[3467] = vX_[6513] + vX_[7944] + vX_[3467] - vX_[7170] - vX_[7168];
+ vX_[6513] = 0 - vX_[3467];
+ vX_[7944] = vX_[3475] * vX_[76] + vX_[5363] * vX_[4];
+ vX_[7166] = vX_[7944] + vX_[6513] * vX_[89];
+ vX_[7165] = 0 - vX_[7166];
+ vX_[7944] = 0 - (vX_[2406] * vX_[4] + vX_[3460] * vX_[75]) + vX_[7944];
+ vX_[7163] = vX_[3475] * vX_[4] + vX_[5363] * vX_[75];
+ vX_[7162] = vX_[7163] + vX_[3467] * vX_[93];
+ vX_[3493] = 0 - vX_[7162];
+ vX_[7148] = 0 - (vX_[3487] * vX_[4] + vX_[3472] * vX_[75]) + vX_[3487] * vX_[4] * 2.;
+ vX_[6717] = 0 - vX_[7148];
+ vX_[6531] = vX_[3487] * vX_[76] + vX_[3472] * vX_[4] + vX_[3487] * vX_[75] * 2.;
+ vX_[8551] = 0 - vX_[6531];
+ vX_[7206] = vX_[7206] * vX_[1993];
+ vX_[7205] = vX_[7205] * vX_[1993] + vX_[7199] * vX_[975];
+ vX_[7199] = 0 - vX_[7205];
+ vX_[7200] = vX_[7200] * vX_[975];
+ vX_[3495] = 0 - vX_[7215];
+ vX_[7900] = vX_[3495] * x_in[19] + vX_[3501] * x_in[20];
+ vX_[7928] = vX_[6901] * x_in[35];
+ vX_[3490] = 0 - vX_[7928];
+ vX_[6525] = vX_[6901] * x_in[34];
+ vX_[2758] = 0 - vX_[6525];
+ vX_[7225] = vX_[7198] * vX_[1975] + vX_[7225] * vX_[1986];
+ vX_[7226] = vX_[7226] * vX_[937];
+ vX_[7198] = 0 - vX_[7168];
+ vX_[7163] = vX_[2406] * vX_[76] + vX_[3460] * vX_[4] + vX_[7163];
+ vX_[6659] = 0 - vX_[6463];
+ vX_[3461] = 0 - vX_[7168];
+ vX_[7135] = 0 - vX_[7206] - vX_[7200];
+ vX_[7471] = 0 - vX_[7225];
+ vX_[3235] = 0 - vX_[7900];
+ vX_[7137] = 0 - vX_[7226];
+ jac[607] = 0 -
+ (vX_[7164] * vX_[4039] + vX_[7169] * vX_[3893] + vX_[6273] * vX_[131] + vX_[3504] * vX_[81] +
+ vX_[5363] * vX_[144] + vX_[3466] * vX_[156] + vX_[3491] * vX_[85] + vX_[3229] * vX_[74] +
+ vX_[3460] * vX_[92] + vX_[6899] * vX_[119] + vX_[3487] * vX_[564] + vX_[3472] * vX_[147] +
+ vX_[6568] * vX_[3880] + vX_[7800] * vX_[4092] - (vX_[7161] * vX_[4075] + vX_[6711] * vX_[4095]) +
+ (vX_[7167] * vX_[4075] + vX_[6711] * vX_[4104]) * 0.08 -
+ (vX_[7171] * vX_[4040] + vX_[3473] * vX_[133] + vX_[6724] * vX_[132] + vX_[6505] * vX_[102] +
+ vX_[3475] * vX_[91] + vX_[3477] * vX_[155] + vX_[7140] * vX_[87] + vX_[7160] * vX_[86] +
+ vX_[5367] * vX_[80] + vX_[2406] * vX_[95] + vX_[7112] * vX_[121] + vX_[3487] * vX_[145] +
+ vX_[7142] * vX_[71] + vX_[1573] * vX_[118] +
+ (vX_[6463] * vX_[94] + vX_[6513] * vX_[104] + vX_[7170] * vX_[90] + vX_[7165] * vX_[100] +
+ (vX_[7944] + vX_[7170] * vX_[89]) * 4.027 + vX_[3493] * vX_[102] + vX_[6717] * vX_[86] +
+ vX_[8551] * vX_[85] + vX_[6463] * vX_[69] + vX_[7170] * vX_[120]) *
+ 0.08 +
+ vX_[7877] * vX_[4085]) +
+ vX_[2419] * vX_[767] + vX_[5809] * vX_[126] - vX_[7206] * vX_[51] + vX_[7207] * 0.35 +
+ vX_[4002] * vX_[1015] + vX_[3056] * vX_[1013] + vX_[3476] * vX_[786] + vX_[7189] * vX_[783] +
+ vX_[4493] * vX_[959] + vX_[3057] * vX_[978] + vX_[7199] * vX_[7] + vX_[3041] * vX_[1024] +
+ vX_[3042] * vX_[1020] + vX_[6707] * vX_[795] + vX_[6722] * vX_[784] + vX_[6068] * vX_[965] +
+ vX_[6680] * vX_[1] + vX_[3046] * vX_[126] - vX_[7200] * vX_[51] + vX_[7202] * vX_[823] +
+ vX_[5382] * vX_[821] + vX_[7210] * vX_[974] + vX_[7201] * vX_[970] + vX_[2417] * vX_[870] +
+ vX_[3464] * vX_[868] + vX_[3047] * vX_[889] + vX_[7311] * vX_[885] + vX_[7900] * vX_[51] * -0.33 +
+ vX_[6644] * vX_[904] + vX_[6609] * vX_[896] + vX_[2623] * vX_[902] + vX_[3643] * vX_[848] +
+ vX_[7782] * vX_[858] + vX_[2667] * vX_[846] + vX_[6638] * vX_[856] + vX_[6768] * vX_[852] +
+ vX_[3490] * vX_[7] * 0.33 + (0 - vX_[6525]) * 0.35 + vX_[2758] * vX_[7] * 0.33 +
+ vX_[7456] * vX_[945] + vX_[3457] * vX_[943] + vX_[3038] * vX_[934] + vX_[3039] * vX_[930] +
+ (vX_[7225] * vX_[51] + vX_[7226] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[7164] * vX_[4075] + vX_[6711] * vX_[3880]) - (vX_[7161] * vX_[4039] + vX_[6568] * vX_[4095]) +
+ (vX_[7167] * vX_[4039] + vX_[3467] * vX_[103] + vX_[7198] * vX_[94] + vX_[7166] * vX_[102] +
+ vX_[7162] * vX_[101] + (0 - (vX_[7163] + vX_[6463] * vX_[89] + vX_[7198] * vX_[93])) * 4.027 +
+ vX_[7148] * vX_[80] + vX_[6531] * vX_[74] + vX_[6659] * vX_[82] + vX_[3461] * vX_[114] +
+ vX_[6568] * vX_[4104]) *
+ 0.08 -
+ (vX_[7171] * vX_[3893] + vX_[7169] * vX_[4040] + vX_[3473] * vX_[131] + vX_[6273] * vX_[133] +
+ vX_[6724] * vX_[102] + vX_[6505] * vX_[130] + vX_[3475] * vX_[144] + vX_[3504] * vX_[87] +
+ vX_[3477] * vX_[156] + vX_[5363] * vX_[91] + vX_[7140] * vX_[81] + vX_[3466] * vX_[155] +
+ vX_[7160] * vX_[85] + vX_[5367] * vX_[74] + vX_[3491] * vX_[86] + vX_[3229] * vX_[80] +
+ vX_[2406] * vX_[92] + vX_[3460] * vX_[95] + vX_[7112] * vX_[119] + vX_[6899] * vX_[121] +
+ vX_[3487] * vX_[146] + vX_[3487] * vX_[147] + vX_[3472] * vX_[145] + vX_[7142] * vX_[118] +
+ vX_[1573] * vX_[115] + vX_[7877] * vX_[4092] + vX_[7800] * vX_[4085]) +
+ vX_[3101] * vX_[1] + vX_[7222] * vX_[1009] + vX_[7190] * vX_[779] + vX_[4002] * vX_[1016] +
+ vX_[3056] * vX_[1012] + vX_[3476] * vX_[787] + vX_[6784] * vX_[784] + vX_[6091] * vX_[961] +
+ vX_[7205] * vX_[51] + vX_[3059] * vX_[1023] + vX_[3042] * vX_[1021] + vX_[6702] * vX_[794] +
+ vX_[6722] * vX_[792] + vX_[7139] * vX_[961] + vX_[6720] * vX_[1] + vX_[7787] * vX_[126] +
+ vX_[7135] * vX_[7] + vX_[7185] * vX_[819] + vX_[7757] * vX_[972] + (0 - vX_[7225]) * 0.35 +
+ vX_[7471] * vX_[7] * 0.33 + vX_[3458] * vX_[866] + vX_[287] * vX_[887] + (0 - vX_[7900]) * 0.35 +
+ vX_[3235] * vX_[7] * 0.33 + vX_[7193] * vX_[906] + vX_[6709] * vX_[898] + vX_[7875] * vX_[852] +
+ vX_[2643] * vX_[846] + vX_[7769] * vX_[860] + vX_[7321] * vX_[850] + vX_[8191] * vX_[848] +
+ vX_[6792] * vX_[854] + vX_[7928] * vX_[51] * 0.33 + vX_[6525] * vX_[51] * 0.33 +
+ vX_[3454] * vX_[941] + vX_[3073] * vX_[932] + (0 - vX_[7226]) * 0.35 + vX_[7137] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[3084] = vX_[6665] * vX_[126] + vX_[7564] * vX_[1] + vX_[3098] * vX_[141] + vX_[7753] * vX_[127] +
+ vX_[3084] * vX_[27] + vX_[7588] * vX_[3839];
+ vX_[7753] = 0 - vX_[3084];
+ vX_[2615] = 0 - (vX_[7567] * vX_[139] + vX_[2632] * vX_[126] + vX_[5371] * vX_[1] + vX_[7562] * vX_[27] +
+ vX_[2615] * vX_[127] + vX_[3069] * vX_[141] + vX_[7587] * vX_[3839] + vX_[7591] * vX_[3820]);
+ vX_[3058] = vX_[7575] + vX_[3058] * vX_[139] + vX_[5371] * vX_[126];
+ vX_[7343] = vX_[3058] + vX_[7343] * vX_[27] + vX_[3066] * vX_[141] + vX_[7591] * vX_[3839];
+ vX_[3066] = 0 - vX_[7343];
+ vX_[2859] =
+ vX_[602] + vX_[2859] * vX_[27] + vX_[3083] * vX_[141] * 2. + vX_[7591] * vX_[3911] + vX_[7594] * vX_[3839];
+ vX_[3083] = 0 - vX_[2859];
+ vX_[3071] = vX_[7746] + vX_[3060] * vX_[27] + vX_[3071] * vX_[141] + vX_[7591] * vX_[3894] + vX_[7596] * vX_[3839];
+ vX_[7746] = 0 - vX_[3071];
+ vX_[3060] = (vX_[3066] * vX_[88] + vX_[3083] * vX_[148] + vX_[7746] * vX_[157]) * 1 / vX_[123];
+ vX_[3066] = vX_[7592] * vX_[4055] + vX_[7753] * vX_[136] + vX_[2615] * vX_[124] + vX_[3066] * vX_[151] + vX_[3060];
+ vX_[7754] = vX_[3061] + vX_[3331] * vX_[127] + vX_[7754] * vX_[27] * 2. + vX_[7588] * vX_[3894];
+ vX_[3061] = vX_[7754] * vX_[76] + vX_[3071] * vX_[4];
+ vX_[602] = vX_[7754] * vX_[4] + vX_[3071] * vX_[75];
+ vX_[7752] = vX_[3099] + vX_[7752] * vX_[27] + vX_[3088] * vX_[127] * 2. + vX_[7588] * vX_[3911];
+ vX_[2851] = 0 - (0 - (vX_[6665] * vX_[139] + vX_[6647] * vX_[126]) + vX_[3276] * vX_[141] + vX_[7345] * vX_[27] +
+ vX_[2851] * vX_[127] + vX_[7588] * vX_[3820]);
+ vX_[7567] = vX_[7575] + vX_[7567] * vX_[126] + vX_[7569] * vX_[1];
+ vX_[2614] = 0 - (vX_[7567] + vX_[2614] * vX_[127] + vX_[8179] * vX_[141] + vX_[7587] * vX_[3820]);
+ vX_[3072] =
+ 0 - (vX_[3072] + vX_[7540] * vX_[127] + vX_[3331] * vX_[141] + vX_[7587] * vX_[3911] + vX_[7594] * vX_[3820]);
+ vX_[1677] =
+ vX_[7334] + vX_[1677] * vX_[127] + vX_[7338] * vX_[141] * 2. + vX_[7587] * vX_[3894] + vX_[7596] * vX_[3820];
+ vX_[7334] = 0 - vX_[1677];
+ vX_[2615] =
+ (vX_[2614] * vX_[97] + vX_[2615] * vX_[88] + vX_[3072] * vX_[148] + vX_[7334] * vX_[157]) * 1 / vX_[123];
+ vX_[2614] = 0 - vX_[7752] + vX_[7590] * vX_[4055] + vX_[2851] * vX_[136] + vX_[2614] * vX_[124] + vX_[2615];
+ vX_[7587] = 0 - vX_[7754];
+ vX_[3331] = vX_[3331] + vX_[7594] * vX_[3894] + vX_[7596] * vX_[3911];
+ vX_[7540] = 0 - vX_[3331];
+ vX_[7338] = vX_[7338] + vX_[7596] * vX_[3894];
+ vX_[8179] = 0 - vX_[7338];
+ vX_[7569] = vX_[8179] * vX_[157] * 1 / vX_[123];
+ vX_[8179] = vX_[7597] * vX_[4055] + vX_[7587] * vX_[136] + vX_[7334] * vX_[124] + vX_[7746] * vX_[151] +
+ vX_[7540] * vX_[512] + vX_[8179] * vX_[521] + vX_[7569];
+ vX_[7334] = 0 - vX_[7752];
+ vX_[3088] = vX_[3088] + vX_[7594] * vX_[3911];
+ vX_[7746] = 0 - vX_[3088];
+ vX_[7540] = (vX_[7746] * vX_[148] + vX_[7540] * vX_[157]) * 1 / vX_[123];
+ vX_[7746] = vX_[7595] * vX_[4055] + vX_[7334] * vX_[136] + vX_[3072] * vX_[124] + vX_[3083] * vX_[151] +
+ vX_[7746] * vX_[512] + vX_[7540];
+ vX_[7567] = vX_[5329] + vX_[7144] + vX_[7575] - vX_[7567] - vX_[3058] + vX_[3087] * vX_[127] + vX_[7151] * vX_[27];
+ vX_[3058] = vX_[7567] - vX_[7343];
+ vX_[7151] = vX_[3058] * vX_[76] + vX_[3084] * vX_[4];
+ vX_[3087] = vX_[3058] * vX_[4] + vX_[3084] * vX_[75];
+ vX_[7567] = 0 - vX_[7567];
+ vX_[7334] = (vX_[7567] * vX_[135] + vX_[2851] * vX_[97] + vX_[7753] * vX_[88] + vX_[7334] * vX_[148] +
+ vX_[7587] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[7567] = vX_[7589] * vX_[4055] + vX_[7567] * vX_[136] + vX_[7334];
+ vX_[7587] = vX_[3066] * vX_[4] + vX_[7567] * vX_[76];
+ vX_[2851] = vX_[3066] * vX_[75] + vX_[7567] * vX_[4];
+ vX_[1677] = vX_[2859] - vX_[1677];
+ vX_[7334] = 0 - vX_[7589] * vX_[3821] - vX_[7590] * vX_[4093] - vX_[7592] * vX_[780] - vX_[7593] * vX_[3741] +
+ vX_[7593] * vX_[4055] - vX_[7595] * vX_[771] - vX_[7597] * vX_[4041] - vX_[7334] * vX_[136] -
+ vX_[2615] * vX_[124] - vX_[3060] * vX_[151] - vX_[7540] * vX_[512] - vX_[7569] * vX_[521];
+ vX_[7540] = 0 - vX_[7338] + vX_[7334];
+ vX_[7569] = vX_[7540] * vX_[76] + vX_[8179] * vX_[4];
+ vX_[2615] = vX_[7540] * vX_[4] + vX_[8179] * vX_[75];
+ vX_[3060] = vX_[7569] * vX_[4] + vX_[2615] * vX_[76];
+ vX_[7597] = vX_[7338] + vX_[7569] * vX_[76];
+ vX_[7595] = vX_[7338] + vX_[2615] * vX_[4];
+ vX_[7334] = vX_[3088] + vX_[7338] + vX_[7334] - vX_[7597] - vX_[7595];
+ vX_[3088] = 0 - vX_[7334];
+ vX_[7338] = vX_[7752] * vX_[76] + vX_[2859] * vX_[4];
+ vX_[7593] = vX_[7338] + vX_[3088] * vX_[89];
+ vX_[7592] = 0 - vX_[7593];
+ vX_[7338] = 0 - (vX_[1677] * vX_[4] + vX_[2614] * vX_[75]) + vX_[7338];
+ vX_[7590] = vX_[7752] * vX_[4] + vX_[2859] * vX_[75];
+ vX_[7589] = vX_[7590] + vX_[7334] * vX_[93];
+ vX_[7753] = 0 - vX_[7589];
+ vX_[7575] = 0 - (vX_[3331] * vX_[4] + vX_[7746] * vX_[75]) + vX_[3331] * vX_[4] * 2.;
+ vX_[7144] = 0 - vX_[7575];
+ vX_[5329] = vX_[3331] * vX_[76] + vX_[7746] * vX_[4] + vX_[3331] * vX_[75] * 2.;
+ vX_[3072] = 0 - vX_[5329];
+ vX_[7633] = vX_[7633] * vX_[1993];
+ vX_[7632] = vX_[7632] * vX_[1993] + vX_[7626] * vX_[975];
+ vX_[7626] = 0 - vX_[7632];
+ vX_[7627] = vX_[7627] * vX_[975];
+ vX_[3083] = 0 - vX_[7642];
+ vX_[6647] = vX_[3083] * x_in[19] + vX_[3051] * x_in[20];
+ vX_[6665] = vX_[3055] * x_in[35];
+ vX_[7345] = 0 - vX_[6665];
+ vX_[3276] = vX_[3055] * x_in[34];
+ vX_[3099] = 0 - vX_[3276];
+ vX_[7652] = vX_[7625] * vX_[1975] + vX_[7652] * vX_[1986];
+ vX_[7653] = vX_[7653] * vX_[937];
+ vX_[7625] = 0 - vX_[7595];
+ vX_[7590] = vX_[1677] * vX_[76] + vX_[2614] * vX_[4] + vX_[7590];
+ vX_[5371] = 0 - vX_[3060];
+ vX_[2632] = 0 - vX_[7595];
+ vX_[7562] = 0 - vX_[7633] - vX_[7627];
+ vX_[3069] = 0 - vX_[7652];
+ vX_[3098] = 0 - vX_[6647];
+ vX_[7564] = 0 - vX_[7653];
+ jac[608] = 0 -
+ (vX_[7591] * vX_[4039] + vX_[7596] * vX_[3893] + vX_[3084] * vX_[131] + vX_[3066] * vX_[81] +
+ vX_[2859] * vX_[144] + vX_[3071] * vX_[156] + vX_[3061] * vX_[85] + vX_[602] * vX_[74] +
+ vX_[2614] * vX_[92] + vX_[8179] * vX_[119] + vX_[3331] * vX_[564] + vX_[7746] * vX_[147] +
+ vX_[6987] * vX_[3880] + vX_[6602] * vX_[4092] - (vX_[7588] * vX_[4075] + vX_[7138] * vX_[4095]) +
+ (vX_[7594] * vX_[4075] + vX_[7138] * vX_[4104]) * 0.08 -
+ (vX_[7598] * vX_[4040] + vX_[3058] * vX_[133] + vX_[7151] * vX_[132] + vX_[3087] * vX_[102] +
+ vX_[7752] * vX_[91] + vX_[7754] * vX_[155] + vX_[7567] * vX_[87] + vX_[7587] * vX_[86] +
+ vX_[2851] * vX_[80] + vX_[1677] * vX_[95] + vX_[7540] * vX_[121] + vX_[3331] * vX_[145] +
+ vX_[7569] * vX_[71] + vX_[2615] * vX_[118] +
+ (vX_[3060] * vX_[94] + vX_[3088] * vX_[104] + vX_[7597] * vX_[90] + vX_[7592] * vX_[100] +
+ (vX_[7338] + vX_[7597] * vX_[89]) * 4.027 + vX_[7753] * vX_[102] + vX_[7144] * vX_[86] +
+ vX_[3072] * vX_[85] + vX_[3060] * vX_[69] + vX_[7597] * vX_[120]) *
+ 0.08 +
+ vX_[6619] * vX_[4085]) +
+ vX_[8198] * vX_[767] + vX_[2617] * vX_[126] - vX_[7633] * vX_[51] + vX_[7634] * 0.35 +
+ vX_[8157] * vX_[1015] + vX_[2619] * vX_[1013] + vX_[3486] * vX_[786] + vX_[7616] * vX_[783] +
+ vX_[3891] * vX_[959] + vX_[8192] * vX_[978] + vX_[7626] * vX_[7] + vX_[2620] * vX_[1024] +
+ vX_[9305] * vX_[1020] + vX_[7134] * vX_[795] + vX_[7149] * vX_[784] + vX_[3682] * vX_[965] +
+ vX_[5392] * vX_[1] + vX_[3411] * vX_[126] - vX_[7627] * vX_[51] + vX_[7629] * vX_[823] +
+ vX_[2869] * vX_[821] + vX_[7637] * vX_[974] + vX_[7628] * vX_[970] + vX_[9097] * vX_[870] +
+ vX_[7759] * vX_[868] + vX_[1723] * vX_[889] + vX_[489] * vX_[885] + vX_[6647] * vX_[51] * -0.33 +
+ vX_[5353] * vX_[904] + vX_[5359] * vX_[896] + vX_[2274] * vX_[902] + vX_[2673] * vX_[848] +
+ vX_[2611] * vX_[858] + vX_[2654] * vX_[846] + vX_[5350] * vX_[856] + vX_[7195] * vX_[852] +
+ vX_[7345] * vX_[7] * 0.33 + (0 - vX_[3276]) * 0.35 + vX_[3099] * vX_[7] * 0.33 +
+ vX_[7883] * vX_[945] + vX_[2629] * vX_[943] + vX_[7797] * vX_[934] + vX_[1787] * vX_[930] +
+ (vX_[7652] * vX_[51] + vX_[7653] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[7591] * vX_[4075] + vX_[7138] * vX_[3880]) - (vX_[7588] * vX_[4039] + vX_[6987] * vX_[4095]) +
+ (vX_[7594] * vX_[4039] + vX_[7334] * vX_[103] + vX_[7625] * vX_[94] + vX_[7593] * vX_[102] +
+ vX_[7589] * vX_[101] + (0 - (vX_[7590] + vX_[3060] * vX_[89] + vX_[7625] * vX_[93])) * 4.027 +
+ vX_[7575] * vX_[80] + vX_[5329] * vX_[74] + vX_[5371] * vX_[82] + vX_[2632] * vX_[114] +
+ vX_[6987] * vX_[4104]) *
+ 0.08 -
+ (vX_[7598] * vX_[3893] + vX_[7596] * vX_[4040] + vX_[3058] * vX_[131] + vX_[3084] * vX_[133] +
+ vX_[7151] * vX_[102] + vX_[3087] * vX_[130] + vX_[7752] * vX_[144] + vX_[3066] * vX_[87] +
+ vX_[7754] * vX_[156] + vX_[2859] * vX_[91] + vX_[7567] * vX_[81] + vX_[3071] * vX_[155] +
+ vX_[7587] * vX_[85] + vX_[2851] * vX_[74] + vX_[3061] * vX_[86] + vX_[602] * vX_[80] +
+ vX_[1677] * vX_[92] + vX_[2614] * vX_[95] + vX_[7540] * vX_[119] + vX_[8179] * vX_[121] +
+ vX_[3331] * vX_[146] + vX_[3331] * vX_[147] + vX_[7746] * vX_[145] + vX_[7569] * vX_[118] +
+ vX_[2615] * vX_[115] + vX_[6619] * vX_[4092] + vX_[6602] * vX_[4085]) +
+ vX_[3075] * vX_[1] + vX_[7649] * vX_[1009] + vX_[7617] * vX_[779] + vX_[8157] * vX_[1016] +
+ vX_[2619] * vX_[1012] + vX_[3486] * vX_[787] + vX_[7211] * vX_[784] + vX_[3505] * vX_[961] +
+ vX_[7632] * vX_[51] + vX_[470] * vX_[1023] + vX_[9305] * vX_[1021] + vX_[7129] * vX_[794] +
+ vX_[7149] * vX_[792] + vX_[7566] * vX_[961] + vX_[7147] * vX_[1] + vX_[1739] * vX_[126] +
+ vX_[7562] * vX_[7] + vX_[7612] * vX_[819] + vX_[8158] * vX_[972] + (0 - vX_[7652]) * 0.35 +
+ vX_[3069] * vX_[7] * 0.33 + vX_[1750] * vX_[866] + vX_[8213] * vX_[887] + (0 - vX_[6647]) * 0.35 +
+ vX_[3098] * vX_[7] * 0.33 + vX_[7620] * vX_[906] + vX_[7136] * vX_[898] + vX_[6600] * vX_[852] +
+ vX_[2653] * vX_[846] + vX_[2267] * vX_[860] + vX_[2646] * vX_[850] + vX_[2647] * vX_[848] +
+ vX_[7219] * vX_[854] + vX_[6665] * vX_[51] * 0.33 + vX_[3276] * vX_[51] * 0.33 +
+ vX_[2630] * vX_[941] + vX_[1785] * vX_[932] + (0 - vX_[7653]) * 0.35 + vX_[7564] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[7748] = vX_[5374] * vX_[126] + vX_[7983] * vX_[1] + vX_[2639] * vX_[141] + vX_[9311] * vX_[127] +
+ vX_[7748] * vX_[27] + vX_[8007] * vX_[3839];
+ vX_[9311] = vX_[727] * vX_[4518] + vX_[27] * vX_[4368] + vX_[728] * vX_[5604] + vX_[126] * vX_[4013] +
+ vX_[729] * vX_[4885] + vX_[3839];
+ vX_[2639] = 0 - vX_[7748];
+ vX_[7998] = 0 - (vX_[7986] * vX_[139] + vX_[9011] * vX_[126] + vX_[2889] * vX_[1] + vX_[7981] * vX_[27] +
+ vX_[7998] * vX_[127] + vX_[9257] * vX_[141] + vX_[8006] * vX_[3839] + vX_[8010] * vX_[3820]);
+ vX_[7756] = vX_[7994] + vX_[7756] * vX_[139] + vX_[2889] * vX_[126];
+ vX_[3674] = vX_[7756] + vX_[3674] * vX_[27] + vX_[8002] * vX_[141] + vX_[8010] * vX_[3839];
+ vX_[8002] = 0 - vX_[3674];
+ vX_[1929] =
+ vX_[9161] + vX_[1929] * vX_[27] + vX_[2626] * vX_[141] * 2. + vX_[8010] * vX_[3911] + vX_[8013] * vX_[3839];
+ vX_[2626] = 0 - vX_[1929];
+ vX_[9274] = vX_[2637] + vX_[2644] * vX_[27] + vX_[9274] * vX_[141] + vX_[8010] * vX_[3894] + vX_[8015] * vX_[3839];
+ vX_[2637] = 0 - vX_[9274];
+ vX_[2644] = (vX_[8002] * vX_[88] + vX_[2626] * vX_[148] + vX_[2637] * vX_[157]) * 1 / vX_[123];
+ vX_[8002] = vX_[7966] * vX_[9311] + vX_[8011] * vX_[4055] + vX_[2639] * vX_[136] + vX_[7998] * vX_[124] +
+ vX_[8002] * vX_[151] + vX_[2644];
+ vX_[9063] = vX_[1950] + vX_[9060] * vX_[127] + vX_[9063] * vX_[27] * 2. + vX_[8007] * vX_[3894];
+ vX_[1950] = vX_[9063] * vX_[76] + vX_[9274] * vX_[4];
+ vX_[7966] = vX_[9063] * vX_[4] + vX_[9274] * vX_[75];
+ vX_[2627] = vX_[8696] + vX_[2627] * vX_[27] + vX_[4114] * vX_[127] * 2. + vX_[8007] * vX_[3911];
+ vX_[4885] = vX_[138] * vX_[4518] + vX_[706] * vX_[4368] + vX_[140] * vX_[5604] + vX_[1] * vX_[4013] +
+ vX_[126] * vX_[4885] + vX_[3820];
+ vX_[1926] = 0 - (0 - (vX_[5374] * vX_[139] + vX_[5384] * vX_[126]) + vX_[2662] * vX_[141] + vX_[2628] * vX_[27] +
+ vX_[1926] * vX_[127] + vX_[8007] * vX_[3820]);
+ vX_[7986] = vX_[7994] + vX_[7986] * vX_[126] + vX_[7988] * vX_[1];
+ vX_[2220] = 0 - (vX_[7986] + vX_[2220] * vX_[127] + vX_[2640] * vX_[141] + vX_[8006] * vX_[3820]);
+ vX_[2669] =
+ 0 - (vX_[2669] + vX_[7969] * vX_[127] + vX_[9060] * vX_[141] + vX_[8006] * vX_[3911] + vX_[8013] * vX_[3820]);
+ vX_[2668] =
+ vX_[2642] + vX_[2668] * vX_[127] + vX_[8164] * vX_[141] * 2. + vX_[8006] * vX_[3894] + vX_[8015] * vX_[3820];
+ vX_[2642] = 0 - vX_[2668];
+ vX_[7998] =
+ (vX_[2220] * vX_[97] + vX_[7998] * vX_[88] + vX_[2669] * vX_[148] + vX_[2642] * vX_[157]) * 1 / vX_[123];
+ vX_[2220] = 0 - vX_[2627] + vX_[7964] * vX_[4885] + vX_[8009] * vX_[4055] + vX_[1926] * vX_[136] +
+ vX_[2220] * vX_[124] + vX_[7998];
+ vX_[7964] = vX_[139] * vX_[5604] + vX_[126] * vX_[4518] + vX_[3894];
+ vX_[8006] = 0 - vX_[9063];
+ vX_[9060] = vX_[9060] + vX_[8013] * vX_[3894] + vX_[8015] * vX_[3911];
+ vX_[7969] = 0 - vX_[9060];
+ vX_[8164] = vX_[8164] + vX_[8015] * vX_[3894];
+ vX_[2640] = 0 - vX_[8164];
+ vX_[7988] = vX_[2640] * vX_[157] * 1 / vX_[123];
+ vX_[2640] = vX_[7972] * vX_[7964] + vX_[8016] * vX_[4055] + vX_[8006] * vX_[136] + vX_[2642] * vX_[124] +
+ vX_[2637] * vX_[151] + vX_[7969] * vX_[512] + vX_[2640] * vX_[521] + vX_[7988];
+ vX_[4518] = vX_[126] * vX_[5604] + vX_[1] * vX_[4518] + vX_[3911];
+ vX_[2642] = 0 - vX_[2627];
+ vX_[4114] = vX_[4114] + vX_[8013] * vX_[3911];
+ vX_[2637] = 0 - vX_[4114];
+ vX_[7969] = (vX_[2637] * vX_[148] + vX_[7969] * vX_[157]) * 1 / vX_[123];
+ vX_[2637] = vX_[7970] * vX_[4518] + vX_[8014] * vX_[4055] + vX_[2642] * vX_[136] + vX_[2669] * vX_[124] +
+ vX_[2626] * vX_[151] + vX_[2637] * vX_[512] + vX_[7969];
+ vX_[7986] = vX_[2825] + vX_[7571] + vX_[7994] - vX_[7986] - vX_[7756] + vX_[8687] * vX_[127] + vX_[7578] * vX_[27];
+ vX_[7756] = vX_[7986] - vX_[3674];
+ vX_[7578] = vX_[7756] * vX_[76] + vX_[7748] * vX_[4];
+ vX_[8687] = vX_[7756] * vX_[4] + vX_[7748] * vX_[75];
+ vX_[1647] = 0.207 * vX_[5604] + vX_[1647];
+ vX_[7986] = 0 - vX_[7986];
+ vX_[2642] = (vX_[7986] * vX_[135] + vX_[1926] * vX_[97] + vX_[2639] * vX_[88] + vX_[2642] * vX_[148] +
+ vX_[8006] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[7986] = vX_[7976] * vX_[1647] + vX_[8008] * vX_[4055] + vX_[7986] * vX_[136] + vX_[2642];
+ vX_[7976] = vX_[8002] * vX_[4] + vX_[7986] * vX_[76];
+ vX_[8006] = vX_[8002] * vX_[75] + vX_[7986] * vX_[4];
+ vX_[2668] = vX_[1929] - vX_[2668];
+ vX_[1926] = (vX_[4055] - vX_[123] * vX_[4368] - vX_[148] * vX_[4518] - vX_[157] * vX_[7964] - vX_[135] * vX_[1647] -
+ vX_[97] * vX_[4885] - vX_[88] * vX_[9311]) /
+ vX_[123];
+ vX_[2642] = 0 - vX_[7963] * vX_[1926] + vX_[7968] * vX_[4368] - vX_[8008] * vX_[3821] - vX_[8009] * vX_[4093] -
+ vX_[8011] * vX_[780] - vX_[8012] * vX_[3741] + vX_[8012] * vX_[4055] - vX_[8014] * vX_[771] -
+ vX_[8016] * vX_[4041] - vX_[2642] * vX_[136] - vX_[7998] * vX_[124] - vX_[2644] * vX_[151] -
+ vX_[7969] * vX_[512] - vX_[7988] * vX_[521];
+ vX_[7969] = 0 - vX_[8164] + vX_[2642];
+ vX_[7988] = vX_[7969] * vX_[76] + vX_[2640] * vX_[4];
+ vX_[7998] = vX_[7969] * vX_[4] + vX_[2640] * vX_[75];
+ vX_[2644] = vX_[7988] * vX_[4] + vX_[7998] * vX_[76];
+ vX_[8016] = vX_[8164] + vX_[7988] * vX_[76];
+ vX_[8014] = vX_[8164] + vX_[7998] * vX_[4];
+ vX_[2642] = vX_[4114] + vX_[8164] + vX_[2642] - vX_[8016] - vX_[8014];
+ vX_[4114] = 0 - vX_[2642];
+ vX_[8164] = vX_[2627] * vX_[76] + vX_[1929] * vX_[4];
+ vX_[8012] = vX_[8164] + vX_[4114] * vX_[89];
+ vX_[8011] = 0 - vX_[8012];
+ vX_[8164] = 0 - (vX_[2668] * vX_[4] + vX_[2220] * vX_[75]) + vX_[8164];
+ vX_[8009] = vX_[2627] * vX_[4] + vX_[1929] * vX_[75];
+ vX_[8008] = vX_[8009] + vX_[2642] * vX_[93];
+ vX_[7968] = 0 - vX_[8008];
+ vX_[7963] = 0 - (vX_[9060] * vX_[4] + vX_[2637] * vX_[75]) + vX_[9060] * vX_[4] * 2.;
+ vX_[2639] = 0 - vX_[7963];
+ vX_[5604] = vX_[9060] * vX_[76] + vX_[2637] * vX_[4] + vX_[9060] * vX_[75] * 2.;
+ vX_[7994] = 0 - vX_[5604];
+ vX_[8052] = vX_[8052] * vX_[1993];
+ vX_[8051] = vX_[8051] * vX_[1993] + vX_[8045] * vX_[975];
+ vX_[8045] = 0 - vX_[8051];
+ vX_[8046] = vX_[8046] * vX_[975];
+ vX_[7571] = 0 - vX_[8061];
+ vX_[2825] = vX_[7571] * x_in[19] + vX_[2229] * x_in[20];
+ vX_[2669] = vX_[2232] * x_in[35];
+ vX_[2626] = 0 - vX_[2669];
+ vX_[7970] = vX_[2232] * x_in[34];
+ vX_[7972] = 0 - vX_[7970];
+ vX_[8071] = vX_[8044] * vX_[1975] + vX_[8071] * vX_[1986];
+ vX_[8072] = vX_[8072] * vX_[937];
+ vX_[8044] = 0 - vX_[8014];
+ vX_[8009] = vX_[2668] * vX_[76] + vX_[2220] * vX_[4] + vX_[8009];
+ vX_[5384] = 0 - vX_[2644];
+ vX_[5374] = 0 - vX_[8014];
+ vX_[2628] = 0 - vX_[8052] - vX_[8046];
+ vX_[2662] = 0 - vX_[8071];
+ vX_[4013] = 0 - vX_[2825];
+ vX_[8696] = 0 - vX_[8072];
+ jac[609] = 0 -
+ (vX_[8010] * vX_[4039] + vX_[8015] * vX_[3893] + vX_[7748] * vX_[131] + vX_[8002] * vX_[81] +
+ vX_[1929] * vX_[144] + vX_[9274] * vX_[156] + vX_[1950] * vX_[85] + vX_[7966] * vX_[74] +
+ vX_[2220] * vX_[92] + vX_[2640] * vX_[119] + vX_[9060] * vX_[564] + vX_[2637] * vX_[147] +
+ vX_[7414] * vX_[3880] + vX_[5323] * vX_[4092] - (vX_[8007] * vX_[4075] + vX_[7565] * vX_[4095]) +
+ (vX_[8013] * vX_[4075] + vX_[7565] * vX_[4104]) * 0.08 -
+ (vX_[8017] * vX_[4040] + vX_[7756] * vX_[133] + vX_[7578] * vX_[132] + vX_[8687] * vX_[102] +
+ vX_[2627] * vX_[91] + vX_[9063] * vX_[155] + vX_[7986] * vX_[87] + vX_[7976] * vX_[86] +
+ vX_[8006] * vX_[80] + vX_[2668] * vX_[95] + vX_[7969] * vX_[121] + vX_[9060] * vX_[145] +
+ vX_[7988] * vX_[71] + vX_[7998] * vX_[118] +
+ (vX_[2644] * vX_[94] + vX_[4114] * vX_[104] + vX_[8016] * vX_[90] + vX_[8011] * vX_[100] +
+ (vX_[8164] + vX_[8016] * vX_[89]) * 4.027 + vX_[7968] * vX_[102] + vX_[2639] * vX_[86] +
+ vX_[7994] * vX_[85] + vX_[2644] * vX_[69] + vX_[8016] * vX_[120]) *
+ 0.08 +
+ vX_[5340] * vX_[4085]) +
+ vX_[9057] * vX_[767] + vX_[1064] * vX_[126] - vX_[8052] * vX_[51] + vX_[8053] * 0.35 +
+ vX_[1232] * vX_[1015] + vX_[9146] * vX_[1013] + vX_[7330] * vX_[786] + vX_[8035] * vX_[783] +
+ vX_[3489] * vX_[959] + vX_[9004] * vX_[978] + vX_[8045] * vX_[7] + vX_[8220] * vX_[1024] +
+ vX_[9010] * vX_[1020] + vX_[7561] * vX_[795] + vX_[7576] * vX_[784] + vX_[3089] * vX_[965] +
+ vX_[2910] * vX_[1] + vX_[1110] * vX_[126] - vX_[8046] * vX_[51] + vX_[8048] * vX_[823] +
+ vX_[2027] * vX_[821] + vX_[8056] * vX_[974] + vX_[8047] * vX_[970] + vX_[2215] * vX_[870] +
+ vX_[2217] * vX_[868] + vX_[2212] * vX_[889] + vX_[2246] * vX_[885] + vX_[2825] * vX_[51] * -0.33 +
+ vX_[2878] * vX_[904] + vX_[2855] * vX_[896] + vX_[2248] * vX_[902] + vX_[8602] * vX_[848] +
+ vX_[7736] * vX_[858] + vX_[8642] * vX_[846] + vX_[2868] * vX_[856] + vX_[7622] * vX_[852] +
+ vX_[2626] * vX_[7] * 0.33 + (0 - vX_[7970]) * 0.35 + vX_[7972] * vX_[7] * 0.33 +
+ vX_[8302] * vX_[945] + vX_[2219] * vX_[943] + vX_[2258] * vX_[934] + vX_[2261] * vX_[930] +
+ (vX_[8071] * vX_[51] + vX_[8072] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[8010] * vX_[4075] + vX_[7565] * vX_[3880]) - (vX_[8007] * vX_[4039] + vX_[7414] * vX_[4095]) +
+ (vX_[8013] * vX_[4039] + vX_[2642] * vX_[103] + vX_[8044] * vX_[94] + vX_[8012] * vX_[102] +
+ vX_[8008] * vX_[101] + (0 - (vX_[8009] + vX_[2644] * vX_[89] + vX_[8044] * vX_[93])) * 4.027 +
+ vX_[7963] * vX_[80] + vX_[5604] * vX_[74] + vX_[5384] * vX_[82] + vX_[5374] * vX_[114] +
+ vX_[7414] * vX_[4104]) *
+ 0.08 -
+ (vX_[8017] * vX_[3893] + vX_[8015] * vX_[4040] + vX_[7756] * vX_[131] + vX_[7748] * vX_[133] +
+ vX_[7578] * vX_[102] + vX_[8687] * vX_[130] + vX_[2627] * vX_[144] + vX_[8002] * vX_[87] +
+ vX_[9063] * vX_[156] + vX_[1929] * vX_[91] + vX_[7986] * vX_[81] + vX_[9274] * vX_[155] +
+ vX_[7976] * vX_[85] + vX_[8006] * vX_[74] + vX_[1950] * vX_[86] + vX_[7966] * vX_[80] +
+ vX_[2668] * vX_[92] + vX_[2220] * vX_[95] + vX_[7969] * vX_[119] + vX_[2640] * vX_[121] +
+ vX_[9060] * vX_[146] + vX_[9060] * vX_[147] + vX_[2637] * vX_[145] + vX_[7988] * vX_[118] +
+ vX_[7998] * vX_[115] + vX_[5340] * vX_[4092] + vX_[5323] * vX_[4085]) +
+ vX_[1702] * vX_[1] + vX_[8068] * vX_[1009] + vX_[8036] * vX_[779] + vX_[1232] * vX_[1016] +
+ vX_[9146] * vX_[1012] + vX_[7330] * vX_[787] + vX_[7638] * vX_[784] + vX_[7745] * vX_[961] +
+ vX_[8051] * vX_[51] + vX_[317] * vX_[1023] + vX_[9010] * vX_[1021] + vX_[7556] * vX_[794] +
+ vX_[7576] * vX_[792] + vX_[7985] * vX_[961] + vX_[7574] * vX_[1] + vX_[9030] * vX_[126] +
+ vX_[2628] * vX_[7] + vX_[8031] * vX_[819] + vX_[1313] * vX_[972] + (0 - vX_[8071]) * 0.35 +
+ vX_[2662] * vX_[7] * 0.33 + vX_[278] * vX_[866] + vX_[2273] * vX_[887] + (0 - vX_[2825]) * 0.35 +
+ vX_[4013] * vX_[7] * 0.33 + vX_[8039] * vX_[906] + vX_[7563] * vX_[898] + vX_[5338] * vX_[852] +
+ vX_[9083] * vX_[846] + vX_[2254] * vX_[860] + vX_[8160] * vX_[850] + vX_[8603] * vX_[848] +
+ vX_[7646] * vX_[854] + vX_[2669] * vX_[51] * 0.33 + vX_[7970] * vX_[51] * 0.33 +
+ vX_[344] * vX_[941] + vX_[8613] * vX_[932] + (0 - vX_[8072]) * 0.35 + vX_[8696] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[2231] = vX_[2899] * vX_[126] + vX_[8412] * vX_[1] + vX_[2262] * vX_[141] + vX_[2244] * vX_[127] +
+ vX_[2231] * vX_[27] + vX_[8436] * vX_[3839];
+ vX_[2244] = 0 - vX_[2231];
+ vX_[1109] = 0 - (vX_[8415] * vX_[139] + vX_[2039] * vX_[126] + vX_[1848] * vX_[1] + vX_[8410] * vX_[27] +
+ vX_[1109] * vX_[127] + vX_[2225] * vX_[141] + vX_[8435] * vX_[3839] + vX_[8439] * vX_[3820]);
+ vX_[1076] = vX_[8423] + vX_[1076] * vX_[139] + vX_[1848] * vX_[126];
+ vX_[1616] = vX_[1076] + vX_[1616] * vX_[27] + vX_[2256] * vX_[141] + vX_[8439] * vX_[3839];
+ vX_[2256] = 0 - vX_[1616];
+ vX_[9197] =
+ vX_[2257] + vX_[9197] * vX_[27] + vX_[2221] * vX_[141] * 2. + vX_[8439] * vX_[3911] + vX_[8442] * vX_[3839];
+ vX_[2221] = 0 - vX_[9197];
+ vX_[2224] = vX_[2226] + vX_[2268] * vX_[27] + vX_[2224] * vX_[141] + vX_[8439] * vX_[3894] + vX_[8444] * vX_[3839];
+ vX_[2226] = 0 - vX_[2224];
+ vX_[2268] = (vX_[2256] * vX_[88] + vX_[2221] * vX_[148] + vX_[2226] * vX_[157]) * 1 / vX_[123];
+ vX_[2256] = vX_[8395] * vX_[9311] + vX_[8440] * vX_[4055] + vX_[2244] * vX_[136] + vX_[1109] * vX_[124] +
+ vX_[2256] * vX_[151] + vX_[2268];
+ vX_[1072] = vX_[2245] + vX_[2000] * vX_[127] + vX_[1072] * vX_[27] * 2. + vX_[8436] * vX_[3894];
+ vX_[2245] = vX_[1072] * vX_[76] + vX_[2224] * vX_[4];
+ vX_[8395] = vX_[1072] * vX_[4] + vX_[2224] * vX_[75];
+ vX_[8580] = vX_[8633] + vX_[8580] * vX_[27] + vX_[1156] * vX_[127] * 2. + vX_[8436] * vX_[3911];
+ vX_[9194] = 0 - (0 - (vX_[2899] * vX_[139] + vX_[2880] * vX_[126]) + vX_[1031] * vX_[141] + vX_[283] * vX_[27] +
+ vX_[9194] * vX_[127] + vX_[8436] * vX_[3820]);
+ vX_[8415] = vX_[8423] + vX_[8415] * vX_[126] + vX_[8417] * vX_[1];
+ vX_[379] = 0 - (vX_[8415] + vX_[379] * vX_[127] + vX_[8253] * vX_[141] + vX_[8435] * vX_[3820]);
+ vX_[8604] =
+ 0 - (vX_[8604] + vX_[8387] * vX_[127] + vX_[2000] * vX_[141] + vX_[8435] * vX_[3911] + vX_[8442] * vX_[3820]);
+ vX_[9168] =
+ vX_[2269] + vX_[9168] * vX_[127] + vX_[8609] * vX_[141] * 2. + vX_[8435] * vX_[3894] + vX_[8444] * vX_[3820];
+ vX_[2269] = 0 - vX_[9168];
+ vX_[1109] = (vX_[379] * vX_[97] + vX_[1109] * vX_[88] + vX_[8604] * vX_[148] + vX_[2269] * vX_[157]) * 1 / vX_[123];
+ vX_[379] = 0 - vX_[8580] + vX_[8389] * vX_[4885] + vX_[8438] * vX_[4055] + vX_[9194] * vX_[136] +
+ vX_[379] * vX_[124] + vX_[1109];
+ vX_[8389] = 0 - vX_[1072];
+ vX_[2000] = vX_[2000] + vX_[8442] * vX_[3894] + vX_[8444] * vX_[3911];
+ vX_[8435] = 0 - vX_[2000];
+ vX_[8609] = vX_[8609] + vX_[8444] * vX_[3894];
+ vX_[8387] = 0 - vX_[8609];
+ vX_[8253] = vX_[8387] * vX_[157] * 1 / vX_[123];
+ vX_[8387] = vX_[8401] * vX_[7964] + vX_[8445] * vX_[4055] + vX_[8389] * vX_[136] + vX_[2269] * vX_[124] +
+ vX_[2226] * vX_[151] + vX_[8435] * vX_[512] + vX_[8387] * vX_[521] + vX_[8253];
+ vX_[2269] = 0 - vX_[8580];
+ vX_[1156] = vX_[1156] + vX_[8442] * vX_[3911];
+ vX_[2226] = 0 - vX_[1156];
+ vX_[8435] = (vX_[2226] * vX_[148] + vX_[8435] * vX_[157]) * 1 / vX_[123];
+ vX_[2226] = vX_[8399] * vX_[4518] + vX_[8443] * vX_[4055] + vX_[2269] * vX_[136] + vX_[8604] * vX_[124] +
+ vX_[2221] * vX_[151] + vX_[2226] * vX_[512] + vX_[8435];
+ vX_[8604] = vX_[4368] + vX_[1926];
+ vX_[8415] = vX_[1454] + vX_[7990] + vX_[8423] - vX_[8415] - vX_[1076] + vX_[2233] * vX_[127] + vX_[7997] * vX_[27];
+ vX_[1076] = vX_[8415] - vX_[1616];
+ vX_[7997] = vX_[1076] * vX_[76] + vX_[2231] * vX_[4];
+ vX_[2233] = vX_[1076] * vX_[4] + vX_[2231] * vX_[75];
+ vX_[8415] = 0 - vX_[8415];
+ vX_[2269] = (vX_[8415] * vX_[135] + vX_[9194] * vX_[97] + vX_[2244] * vX_[88] + vX_[2269] * vX_[148] +
+ vX_[8389] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[8415] = vX_[8405] * vX_[1647] + vX_[8437] * vX_[4055] + vX_[8415] * vX_[136] + vX_[2269];
+ vX_[8405] = vX_[2256] * vX_[4] + vX_[8415] * vX_[76];
+ vX_[8389] = vX_[2256] * vX_[75] + vX_[8415] * vX_[4];
+ vX_[9168] = vX_[9197] - vX_[9168];
+ vX_[2269] = 0 - vX_[8388] * vX_[1926] + vX_[8397] * vX_[4368] - vX_[8437] * vX_[3821] - vX_[8438] * vX_[4093] -
+ vX_[8440] * vX_[780] - vX_[8441] * vX_[3741] + vX_[8441] * vX_[4055] - vX_[8443] * vX_[771] -
+ vX_[8445] * vX_[4041] - vX_[2269] * vX_[136] - vX_[1109] * vX_[124] - vX_[2268] * vX_[151] -
+ vX_[8435] * vX_[512] - vX_[8253] * vX_[521];
+ vX_[8435] = 0 - vX_[8609] + vX_[2269];
+ vX_[8253] = vX_[8435] * vX_[76] + vX_[8387] * vX_[4];
+ vX_[1109] = vX_[8435] * vX_[4] + vX_[8387] * vX_[75];
+ vX_[2268] = vX_[8253] * vX_[4] + vX_[1109] * vX_[76];
+ vX_[8445] = vX_[8609] + vX_[8253] * vX_[76];
+ vX_[8443] = vX_[8609] + vX_[1109] * vX_[4];
+ vX_[2269] = vX_[1156] + vX_[8609] + vX_[2269] - vX_[8445] - vX_[8443];
+ vX_[1156] = 0 - vX_[2269];
+ vX_[8609] = vX_[8580] * vX_[76] + vX_[9197] * vX_[4];
+ vX_[8441] = vX_[8609] + vX_[1156] * vX_[89];
+ vX_[8440] = 0 - vX_[8441];
+ vX_[8609] = 0 - (vX_[9168] * vX_[4] + vX_[379] * vX_[75]) + vX_[8609];
+ vX_[8438] = vX_[8580] * vX_[4] + vX_[9197] * vX_[75];
+ vX_[8437] = vX_[8438] + vX_[2269] * vX_[93];
+ vX_[8397] = 0 - vX_[8437];
+ vX_[8388] = 0 - (vX_[2000] * vX_[4] + vX_[2226] * vX_[75]) + vX_[2000] * vX_[4] * 2.;
+ vX_[9194] = 0 - vX_[8388];
+ vX_[2244] = vX_[2000] * vX_[76] + vX_[2226] * vX_[4] + vX_[2000] * vX_[75] * 2.;
+ vX_[8423] = 0 - vX_[2244];
+ vX_[8481] = vX_[8481] * vX_[1993];
+ vX_[8480] = vX_[8480] * vX_[1993] + vX_[8474] * vX_[975];
+ vX_[8474] = 0 - vX_[8480];
+ vX_[8475] = vX_[8475] * vX_[975];
+ vX_[7990] = 0 - vX_[8490];
+ vX_[1454] = vX_[7990] * x_in[19] + vX_[1056] * x_in[20];
+ vX_[2221] = vX_[1058] * x_in[35];
+ vX_[8399] = 0 - vX_[2221];
+ vX_[8401] = vX_[1058] * x_in[34];
+ vX_[8417] = 0 - vX_[8401];
+ vX_[8500] = vX_[8473] * vX_[1975] + vX_[8500] * vX_[1986];
+ vX_[8501] = vX_[8501] * vX_[937];
+ vX_[8473] = 0 - vX_[8443];
+ vX_[8438] = vX_[9168] * vX_[76] + vX_[379] * vX_[4] + vX_[8438];
+ vX_[2880] = 0 - vX_[2268];
+ vX_[2899] = 0 - vX_[8443];
+ vX_[283] = 0 - vX_[8481] - vX_[8475];
+ vX_[1031] = 0 - vX_[8500];
+ vX_[8633] = 0 - vX_[1454];
+ vX_[2257] = 0 - vX_[8501];
+ jac[610] = 0 -
+ (vX_[8394] * vX_[9311] + vX_[8386] * vX_[7964] + vX_[8439] * vX_[4039] + vX_[8444] * vX_[3893] +
+ vX_[2231] * vX_[131] + vX_[2256] * vX_[81] + vX_[9197] * vX_[144] + vX_[2224] * vX_[156] +
+ vX_[2245] * vX_[85] + vX_[8395] * vX_[74] + vX_[379] * vX_[92] + vX_[8387] * vX_[119] +
+ vX_[2000] * vX_[564] + vX_[2226] * vX_[147] + vX_[7841] * vX_[3880] + vX_[2836] * vX_[4092] -
+ (vX_[8392] * vX_[1647] + vX_[8436] * vX_[4075] + vX_[7984] * vX_[4095]) +
+ (vX_[8392] * vX_[4518] + vX_[8442] * vX_[4075] + vX_[7984] * vX_[4104]) * 0.08 -
+ (vX_[8384] * vX_[8604] + vX_[8446] * vX_[4040] + vX_[1076] * vX_[133] + vX_[7997] * vX_[132] +
+ vX_[2233] * vX_[102] + vX_[8580] * vX_[91] + vX_[1072] * vX_[155] + vX_[8415] * vX_[87] +
+ vX_[8405] * vX_[86] + vX_[8389] * vX_[80] + vX_[9168] * vX_[95] + vX_[8435] * vX_[121] +
+ vX_[2000] * vX_[145] + vX_[8253] * vX_[71] + vX_[1109] * vX_[118] +
+ (vX_[2268] * vX_[94] + vX_[1156] * vX_[104] + vX_[8445] * vX_[90] + vX_[8440] * vX_[100] +
+ (vX_[8609] + vX_[8445] * vX_[89]) * 4.027 + vX_[8397] * vX_[102] + vX_[9194] * vX_[86] +
+ vX_[8423] * vX_[85] + vX_[2268] * vX_[69] + vX_[8445] * vX_[120]) *
+ 0.08 +
+ vX_[2798] * vX_[4085]) +
+ vX_[1455] * vX_[767] + vX_[391] * vX_[126] - vX_[8481] * vX_[51] + vX_[8482] * 0.35 +
+ vX_[1487] * vX_[1015] + vX_[9018] * vX_[1013] + vX_[2671] * vX_[786] + vX_[8464] * vX_[783] +
+ vX_[3053] * vX_[959] + vX_[1646] * vX_[978] + vX_[8474] * vX_[7] + vX_[4549] * vX_[1024] +
+ vX_[8331] * vX_[1020] + vX_[7980] * vX_[795] + vX_[7995] * vX_[784] + vX_[2656] * vX_[965] +
+ vX_[1039] * vX_[1] + vX_[1121] * vX_[126] - vX_[8475] * vX_[51] + vX_[8477] * vX_[823] +
+ vX_[9187] * vX_[821] + vX_[8485] * vX_[974] + vX_[8476] * vX_[970] + vX_[1060] * vX_[870] +
+ vX_[9020] * vX_[868] + vX_[1125] * vX_[889] + vX_[1264] * vX_[885] + vX_[1454] * vX_[51] * -0.33 +
+ vX_[826] * vX_[904] + vX_[1856] * vX_[896] + vX_[294] * vX_[902] + vX_[1418] * vX_[848] +
+ vX_[335] * vX_[858] + vX_[1427] * vX_[846] + vX_[1992] * vX_[856] + vX_[8041] * vX_[852] +
+ vX_[8399] * vX_[7] * 0.33 + (0 - vX_[8401]) * 0.35 + vX_[8417] * vX_[7] * 0.33 +
+ vX_[8731] * vX_[945] + vX_[1605] * vX_[943] + vX_[1330] * vX_[934] + vX_[1287] * vX_[930] +
+ (vX_[8500] * vX_[51] + vX_[8501] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[8392] * vX_[9311] + vX_[8439] * vX_[4075] + vX_[7984] * vX_[3880]) -
+ (vX_[8394] * vX_[1647] + vX_[8436] * vX_[4039] + vX_[7841] * vX_[4095]) +
+ (vX_[8394] * vX_[4518] + vX_[8442] * vX_[4039] + vX_[2269] * vX_[103] + vX_[8473] * vX_[94] +
+ vX_[8441] * vX_[102] + vX_[8437] * vX_[101] +
+ (0 - (vX_[8438] + vX_[2268] * vX_[89] + vX_[8473] * vX_[93])) * 4.027 + vX_[8388] * vX_[80] +
+ vX_[2244] * vX_[74] + vX_[2880] * vX_[82] + vX_[2899] * vX_[114] + vX_[7841] * vX_[4104]) *
+ 0.08 -
+ (vX_[8384] * vX_[7964] + vX_[8386] * vX_[8604] + vX_[8446] * vX_[3893] + vX_[8444] * vX_[4040] +
+ vX_[1076] * vX_[131] + vX_[2231] * vX_[133] + vX_[7997] * vX_[102] + vX_[2233] * vX_[130] +
+ vX_[8580] * vX_[144] + vX_[2256] * vX_[87] + vX_[1072] * vX_[156] + vX_[9197] * vX_[91] +
+ vX_[8415] * vX_[81] + vX_[2224] * vX_[155] + vX_[8405] * vX_[85] + vX_[8389] * vX_[74] +
+ vX_[2245] * vX_[86] + vX_[8395] * vX_[80] + vX_[9168] * vX_[92] + vX_[379] * vX_[95] +
+ vX_[8435] * vX_[119] + vX_[8387] * vX_[121] + vX_[2000] * vX_[146] + vX_[2000] * vX_[147] +
+ vX_[2226] * vX_[145] + vX_[8253] * vX_[118] + vX_[1109] * vX_[115] + vX_[2798] * vX_[4092] +
+ vX_[2836] * vX_[4085]) +
+ vX_[7971] * vX_[1] + vX_[8497] * vX_[1009] + vX_[8465] * vX_[779] + vX_[1487] * vX_[1016] +
+ vX_[9018] * vX_[1012] + vX_[2671] * vX_[787] + vX_[8057] * vX_[784] + vX_[2645] * vX_[961] +
+ vX_[8480] * vX_[51] + vX_[8369] * vX_[1023] + vX_[8331] * vX_[1021] + vX_[7975] * vX_[794] +
+ vX_[7995] * vX_[792] + vX_[8414] * vX_[961] + vX_[7993] * vX_[1] + vX_[1049] * vX_[126] +
+ vX_[283] * vX_[7] + vX_[8460] * vX_[819] + vX_[1338] * vX_[972] + (0 - vX_[8500]) * 0.35 +
+ vX_[1031] * vX_[7] * 0.33 + vX_[1061] * vX_[866] + vX_[1265] * vX_[887] + (0 - vX_[1454]) * 0.35 +
+ vX_[8633] * vX_[7] * 0.33 + vX_[8468] * vX_[906] + vX_[7982] * vX_[898] + vX_[2834] * vX_[852] +
+ vX_[1421] * vX_[846] + vX_[326] * vX_[860] + vX_[1393] * vX_[850] + vX_[1289] * vX_[848] +
+ vX_[8065] * vX_[854] + vX_[2221] * vX_[51] * 0.33 + vX_[8401] * vX_[51] * 0.33 +
+ vX_[1778] * vX_[941] + vX_[1322] * vX_[932] + (0 - vX_[8501]) * 0.35 + vX_[2257] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[1068] = vX_[9188] * vX_[126] + vX_[8841] * vX_[1] + vX_[4932] * vX_[141] + vX_[1269] * vX_[127] +
+ vX_[1068] * vX_[27] + vX_[8865] * vX_[3839];
+ vX_[1269] = 0 - vX_[1068];
+ vX_[8217] = 0 - (vX_[8844] * vX_[139] + vX_[113] * vX_[126] + vX_[9185] * vX_[1] + vX_[8839] * vX_[27] +
+ vX_[8217] * vX_[127] + vX_[1067] * vX_[141] + vX_[8864] * vX_[3839] + vX_[8868] * vX_[3820]);
+ vX_[1342] = vX_[41] + vX_[1342] * vX_[139] + vX_[9185] * vX_[126];
+ vX_[1117] = vX_[1342] + vX_[1117] * vX_[27] + vX_[1094] * vX_[141] + vX_[8868] * vX_[3839];
+ vX_[1094] = 0 - vX_[1117];
+ vX_[9323] =
+ vX_[1103] + vX_[9323] * vX_[27] + vX_[547] * vX_[141] * 2. + vX_[8868] * vX_[3911] + vX_[8871] * vX_[3839];
+ vX_[547] = 0 - vX_[9323];
+ vX_[1062] = vX_[1075] + vX_[1089] * vX_[27] + vX_[1062] * vX_[141] + vX_[8868] * vX_[3894] + vX_[8873] * vX_[3839];
+ vX_[1075] = 0 - vX_[1062];
+ vX_[1089] = (vX_[1094] * vX_[88] + vX_[547] * vX_[148] + vX_[1075] * vX_[157]) * 1 / vX_[123];
+ vX_[1094] = vX_[8825] * vX_[9311] + vX_[8869] * vX_[4055] + vX_[1269] * vX_[136] + vX_[8217] * vX_[124] +
+ vX_[1094] * vX_[151] + vX_[1089];
+ vX_[8994] = vX_[1638] + vX_[1470] * vX_[127] + vX_[8994] * vX_[27] * 2. + vX_[8865] * vX_[3894];
+ vX_[1638] = vX_[8994] * vX_[76] + vX_[1062] * vX_[4];
+ vX_[8825] = vX_[8994] * vX_[4] + vX_[1062] * vX_[75];
+ vX_[2935] = vX_[1078] + vX_[2935] * vX_[27] + vX_[1093] * vX_[127] * 2. + vX_[8865] * vX_[3911];
+ vX_[9320] = 0 - (0 - (vX_[9188] * vX_[139] + vX_[9203] * vX_[126]) + vX_[1275] * vX_[141] + vX_[2051] * vX_[27] +
+ vX_[9320] * vX_[127] + vX_[8865] * vX_[3820]);
+ vX_[8844] = vX_[41] + vX_[8844] * vX_[126] + vX_[8846] * vX_[1];
+ vX_[8486] = 0 - (vX_[8844] + vX_[8486] * vX_[127] + vX_[9046] * vX_[141] + vX_[8864] * vX_[3820]);
+ vX_[1464] =
+ 0 - (vX_[1464] + vX_[3689] * vX_[127] + vX_[1470] * vX_[141] + vX_[8864] * vX_[3911] + vX_[8871] * vX_[3820]);
+ vX_[1070] =
+ vX_[1315] + vX_[1070] * vX_[127] + vX_[1515] * vX_[141] * 2. + vX_[8864] * vX_[3894] + vX_[8873] * vX_[3820];
+ vX_[1315] = 0 - vX_[1070];
+ vX_[8217] =
+ (vX_[8486] * vX_[97] + vX_[8217] * vX_[88] + vX_[1464] * vX_[148] + vX_[1315] * vX_[157]) * 1 / vX_[123];
+ vX_[8486] = 0 - vX_[2935] + vX_[8819] * vX_[4885] + vX_[8867] * vX_[4055] + vX_[9320] * vX_[136] +
+ vX_[8486] * vX_[124] + vX_[8217];
+ vX_[4885] = 0 - vX_[8994];
+ vX_[1470] = vX_[1470] + vX_[8871] * vX_[3894] + vX_[8873] * vX_[3911];
+ vX_[8819] = 0 - vX_[1470];
+ vX_[1515] = vX_[1515] + vX_[8873] * vX_[3894];
+ vX_[3894] = 0 - vX_[1515];
+ vX_[3820] = vX_[3894] * vX_[157] * 1 / vX_[123];
+ vX_[3894] = vX_[8830] * vX_[7964] + vX_[8874] * vX_[4055] + vX_[4885] * vX_[136] + vX_[1315] * vX_[124] +
+ vX_[1075] * vX_[151] + vX_[8819] * vX_[512] + vX_[3894] * vX_[521] + vX_[3820];
+ vX_[1315] = 0 - vX_[2935];
+ vX_[1093] = vX_[1093] + vX_[8871] * vX_[3911];
+ vX_[3911] = 0 - vX_[1093];
+ vX_[8819] = (vX_[3911] * vX_[148] + vX_[8819] * vX_[157]) * 1 / vX_[123];
+ vX_[3911] = vX_[8829] * vX_[4518] + vX_[8872] * vX_[4055] + vX_[1315] * vX_[136] + vX_[1464] * vX_[124] +
+ vX_[547] * vX_[151] + vX_[3911] * vX_[512] + vX_[8819];
+ vX_[8844] = vX_[9209] + vX_[1853] + vX_[41] - vX_[8844] - vX_[1342] + vX_[1291] * vX_[127] + vX_[682] * vX_[27];
+ vX_[1342] = vX_[8844] - vX_[1117];
+ vX_[682] = vX_[1342] * vX_[76] + vX_[1068] * vX_[4];
+ vX_[1291] = vX_[1342] * vX_[4] + vX_[1068] * vX_[75];
+ vX_[8844] = 0 - vX_[8844];
+ vX_[1315] = (vX_[8844] * vX_[135] + vX_[9320] * vX_[97] + vX_[1269] * vX_[88] + vX_[1315] * vX_[148] +
+ vX_[4885] * vX_[157]) *
+ 1 / vX_[123];
+ vX_[8844] = vX_[8834] * vX_[1647] + vX_[8866] * vX_[4055] + vX_[8844] * vX_[136] + vX_[1315];
+ vX_[8834] = vX_[1094] * vX_[4] + vX_[8844] * vX_[76];
+ vX_[4885] = vX_[1094] * vX_[75] + vX_[8844] * vX_[4];
+ vX_[1070] = vX_[9323] - vX_[1070];
+ vX_[1315] = 0 - vX_[8818] * vX_[1926] + vX_[8827] * vX_[4368] - vX_[8866] * vX_[3821] - vX_[8867] * vX_[4093] -
+ vX_[8869] * vX_[780] - vX_[8870] * vX_[3741] + vX_[8870] * vX_[4055] - vX_[8872] * vX_[771] -
+ vX_[8874] * vX_[4041] - vX_[1315] * vX_[136] - vX_[8217] * vX_[124] - vX_[1089] * vX_[151] -
+ vX_[8819] * vX_[512] - vX_[3820] * vX_[521];
+ vX_[8819] = 0 - vX_[1515] + vX_[1315];
+ vX_[3820] = vX_[8819] * vX_[76] + vX_[3894] * vX_[4];
+ vX_[8217] = vX_[8819] * vX_[4] + vX_[3894] * vX_[75];
+ vX_[1089] = vX_[3820] * vX_[4] + vX_[8217] * vX_[76];
+ vX_[1926] = vX_[1515] + vX_[3820] * vX_[76];
+ vX_[4368] = vX_[1515] + vX_[8217] * vX_[4];
+ vX_[1315] = vX_[1093] + vX_[1515] + vX_[1315] - vX_[1926] - vX_[4368];
+ vX_[1093] = 0 - vX_[1315];
+ vX_[1515] = vX_[2935] * vX_[76] + vX_[9323] * vX_[4];
+ vX_[3741] = vX_[1515] + vX_[1093] * vX_[89];
+ vX_[3821] = 0 - vX_[3741];
+ vX_[1515] = 0 - (vX_[1070] * vX_[4] + vX_[8486] * vX_[75]) + vX_[1515];
+ vX_[4093] = vX_[2935] * vX_[4] + vX_[9323] * vX_[75];
+ vX_[780] = vX_[4093] + vX_[1315] * vX_[93];
+ vX_[4041] = 0 - vX_[780];
+ vX_[771] = 0 - (vX_[1470] * vX_[4] + vX_[3911] * vX_[75]) + vX_[1470] * vX_[4] * 2.;
+ vX_[4055] = 0 - vX_[771];
+ vX_[8874] = vX_[1470] * vX_[76] + vX_[3911] * vX_[4] + vX_[1470] * vX_[75] * 2.;
+ vX_[8872] = 0 - vX_[8874];
+ vX_[8910] = vX_[8910] * vX_[1993];
+ vX_[1993] = vX_[8909] * vX_[1993] + vX_[8903] * vX_[975];
+ vX_[8909] = 0 - vX_[1993];
+ vX_[975] = vX_[8904] * vX_[975];
+ vX_[8904] = 0 - vX_[8919];
+ vX_[8903] = vX_[8904] * x_in[19] + vX_[893] * x_in[20];
+ vX_[8870] = vX_[985] * x_in[35];
+ vX_[8869] = 0 - vX_[8870];
+ vX_[8867] = vX_[985] * x_in[34];
+ vX_[8866] = 0 - vX_[8867];
+ vX_[1986] = vX_[8902] * vX_[1975] + vX_[8929] * vX_[1986];
+ vX_[8930] = vX_[8930] * vX_[937];
+ vX_[937] = 0 - vX_[4368];
+ vX_[4093] = vX_[1070] * vX_[76] + vX_[8486] * vX_[4] + vX_[4093];
+ vX_[1975] = 0 - vX_[1089];
+ vX_[8929] = 0 - vX_[4368];
+ vX_[8902] = 0 - vX_[8910] - vX_[975];
+ vX_[8827] = 0 - vX_[1986];
+ vX_[8818] = 0 - vX_[8903];
+ vX_[521] = 0 - vX_[8930];
+ jac[611] = 0 -
+ (vX_[8824] * vX_[9311] + vX_[8816] * vX_[7964] + vX_[8868] * vX_[4039] + vX_[8873] * vX_[3893] +
+ vX_[1068] * vX_[131] + vX_[1094] * vX_[81] + vX_[9323] * vX_[144] + vX_[1062] * vX_[156] +
+ vX_[1638] * vX_[85] + vX_[8825] * vX_[74] + vX_[8486] * vX_[92] + vX_[3894] * vX_[119] +
+ vX_[1470] * vX_[564] + vX_[3911] * vX_[147] + vX_[8260] * vX_[3880] + vX_[1459] * vX_[4092] -
+ (vX_[8822] * vX_[1647] + vX_[8865] * vX_[4075] + vX_[8413] * vX_[4095]) +
+ (vX_[8822] * vX_[4518] + vX_[8871] * vX_[4075] + vX_[8413] * vX_[4104]) * 0.08 -
+ (vX_[8814] * vX_[8604] + vX_[8875] * vX_[4040] + vX_[1342] * vX_[133] + vX_[682] * vX_[132] +
+ vX_[1291] * vX_[102] + vX_[2935] * vX_[91] + vX_[8994] * vX_[155] + vX_[8844] * vX_[87] +
+ vX_[8834] * vX_[86] + vX_[4885] * vX_[80] + vX_[1070] * vX_[95] + vX_[8819] * vX_[121] +
+ vX_[1470] * vX_[145] + vX_[3820] * vX_[71] + vX_[8217] * vX_[118] +
+ (vX_[1089] * vX_[94] + vX_[1093] * vX_[104] + vX_[1926] * vX_[90] + vX_[3821] * vX_[100] +
+ (vX_[1515] + vX_[1926] * vX_[89]) * 4.027 + vX_[4041] * vX_[102] + vX_[4055] * vX_[86] +
+ vX_[8872] * vX_[85] + vX_[1089] * vX_[69] + vX_[1926] * vX_[120]) *
+ 0.08 +
+ vX_[1650] * vX_[4085]) +
+ vX_[1541] * vX_[767] + vX_[3967] * vX_[126] - vX_[8910] * vX_[51] + vX_[8911] * 0.35 +
+ vX_[3980] * vX_[1015] + vX_[899] * vX_[1013] + vX_[2449] * vX_[786] + vX_[513] * vX_[783] +
+ vX_[8402] * vX_[959] + vX_[884] * vX_[978] + vX_[8909] * vX_[7] + vX_[1978] * vX_[1024] +
+ vX_[9127] * vX_[1020] + vX_[764] * vX_[795] + vX_[8404] * vX_[784] + vX_[8494] * vX_[965] +
+ vX_[2240] * vX_[1] + vX_[8891] * vX_[126] - vX_[975] * vX_[51] + vX_[8906] * vX_[823] +
+ vX_[2237] * vX_[821] + vX_[8914] * vX_[974] + vX_[8905] * vX_[970] + vX_[878] * vX_[870] +
+ vX_[4070] * vX_[868] + vX_[8422] * vX_[889] + vX_[8428] * vX_[885] + vX_[8903] * vX_[51] * -0.33 +
+ vX_[9192] * vX_[904] + vX_[9198] * vX_[896] + vX_[4061] * vX_[902] + vX_[4248] * vX_[848] +
+ vX_[258] * vX_[858] + vX_[7521] * vX_[846] + vX_[1988] * vX_[856] + vX_[1994] * vX_[852] +
+ vX_[8869] * vX_[7] * 0.33 + (0 - vX_[8867]) * 0.35 + vX_[8866] * vX_[7] * 0.33 +
+ vX_[908] * vX_[945] + vX_[862] * vX_[943] + vX_[929] * vX_[934] + vX_[6464] * vX_[930] +
+ (vX_[1986] * vX_[51] + vX_[8930] * vX_[51]) * -0.33) *
+ vX_[807] +
+ (0 - (vX_[8822] * vX_[9311] + vX_[8868] * vX_[4075] + vX_[8413] * vX_[3880]) -
+ (vX_[8824] * vX_[1647] + vX_[8865] * vX_[4039] + vX_[8260] * vX_[4095]) +
+ (vX_[8824] * vX_[4518] + vX_[8871] * vX_[4039] + vX_[1315] * vX_[103] + vX_[937] * vX_[94] +
+ vX_[3741] * vX_[102] + vX_[780] * vX_[101] +
+ (0 - (vX_[4093] + vX_[1089] * vX_[89] + vX_[937] * vX_[93])) * 4.027 + vX_[771] * vX_[80] +
+ vX_[8874] * vX_[74] + vX_[1975] * vX_[82] + vX_[8929] * vX_[114] + vX_[8260] * vX_[4104]) *
+ 0.08 -
+ (vX_[8814] * vX_[7964] + vX_[8816] * vX_[8604] + vX_[8875] * vX_[3893] + vX_[8873] * vX_[4040] +
+ vX_[1342] * vX_[131] + vX_[1068] * vX_[133] + vX_[682] * vX_[102] + vX_[1291] * vX_[130] +
+ vX_[2935] * vX_[144] + vX_[1094] * vX_[87] + vX_[8994] * vX_[156] + vX_[9323] * vX_[91] +
+ vX_[8844] * vX_[81] + vX_[1062] * vX_[155] + vX_[8834] * vX_[85] + vX_[4885] * vX_[74] +
+ vX_[1638] * vX_[86] + vX_[8825] * vX_[80] + vX_[1070] * vX_[92] + vX_[8486] * vX_[95] +
+ vX_[8819] * vX_[119] + vX_[3894] * vX_[121] + vX_[1470] * vX_[146] + vX_[1470] * vX_[147] +
+ vX_[3911] * vX_[145] + vX_[3820] * vX_[118] + vX_[8217] * vX_[115] + vX_[1650] * vX_[4092] +
+ vX_[1459] * vX_[4085]) +
+ vX_[8450] * vX_[1] + vX_[8926] * vX_[1009] + vX_[8894] * vX_[779] + vX_[3980] * vX_[1016] +
+ vX_[899] * vX_[1012] + vX_[2449] * vX_[787] + vX_[8409] * vX_[784] + vX_[117] * vX_[961] +
+ vX_[1993] * vX_[51] + vX_[851] * vX_[1023] + vX_[9127] * vX_[1021] + vX_[8893] * vX_[794] +
+ vX_[8404] * vX_[792] + vX_[8424] * vX_[961] + vX_[1546] * vX_[1] + vX_[894] * vX_[126] +
+ vX_[8902] * vX_[7] + vX_[4062] * vX_[819] + vX_[8878] * vX_[972] + (0 - vX_[1986]) * 0.35 +
+ vX_[8827] * vX_[7] * 0.33 + vX_[4071] * vX_[866] + vX_[4108] * vX_[887] + (0 - vX_[8903]) * 0.35 +
+ vX_[8818] * vX_[7] * 0.33 + vX_[8897] * vX_[906] + vX_[8411] * vX_[898] + vX_[988] * vX_[852] +
+ vX_[2957] * vX_[846] + vX_[6489] * vX_[860] + vX_[8559] * vX_[850] + vX_[6501] * vX_[848] +
+ vX_[4053] * vX_[854] + vX_[8870] * vX_[51] * 0.33 + vX_[8867] * vX_[51] * 0.33 +
+ vX_[111] * vX_[941] + vX_[6507] * vX_[932] + (0 - vX_[8930]) * 0.35 + vX_[521] * vX_[7] * 0.33) *
+ vX_[1083];
+ vX_[621] = vX_[529] + vX_[1399] * vX_[76] + vX_[621] * vX_[89] + vX_[753] * vX_[3912];
+ vX_[734] = vX_[529] + vX_[1180] * vX_[4] + vX_[734] * vX_[93] + vX_[755] * vX_[3984];
+ vX_[529] = vX_[621] - vX_[734];
+ vX_[8982] = vX_[1399] * vX_[4] + vX_[1180] * vX_[76] + vX_[625] * vX_[93] + vX_[8982] * vX_[89] +
+ vX_[753] * vX_[3984] + vX_[755] * vX_[3912];
+ vX_[625] = vX_[529] * vX_[7] + vX_[8982] * vX_[52];
+ vX_[1180] = vX_[529] * vX_[51] + vX_[8982] * vX_[7];
+ vX_[621] = 0 - vX_[621];
+ vX_[1399] = 0 - vX_[8982];
+ vX_[1753] =
+ vX_[700] * vX_[76] + vX_[2530] * vX_[4] + vX_[1753] * vX_[89] + vX_[753] * vX_[3966] + vX_[747] * vX_[3912];
+ vX_[937] = 0 - vX_[1753];
+ vX_[8964] =
+ vX_[700] * vX_[4] + vX_[2530] * vX_[75] + vX_[8964] * vX_[89] + vX_[753] * vX_[3968] + vX_[761] * vX_[3912];
+ vX_[700] = 0 - vX_[8964];
+ vX_[2530] = (vX_[621] * vX_[83] + vX_[1399] * vX_[70] + vX_[937] * vX_[79] + vX_[700] * vX_[60]) * 1 / vX_[72];
+ vX_[621] = vX_[757] * vX_[1010] + vX_[621] * vX_[84] + vX_[2530];
+ vX_[734] = 0 - vX_[734];
+ vX_[740] =
+ vX_[3712] * vX_[76] + vX_[1153] * vX_[4] + vX_[740] * vX_[93] + vX_[755] * vX_[3966] + vX_[747] * vX_[3984];
+ vX_[1093] = 0 - vX_[740];
+ vX_[1768] =
+ vX_[3712] * vX_[4] + vX_[1153] * vX_[75] + vX_[1768] * vX_[93] + vX_[755] * vX_[3968] + vX_[761] * vX_[3984];
+ vX_[3712] = 0 - vX_[1768];
+ vX_[1153] = (vX_[734] * vX_[70] + vX_[1093] * vX_[79] + vX_[3712] * vX_[60]) * 1 / vX_[72];
+ vX_[734] = vX_[758] * vX_[1010] + vX_[1399] * vX_[84] + vX_[734] * vX_[73] + vX_[1153];
+ vX_[576] = vX_[733] + vX_[3234] * vX_[89] + vX_[576] * vX_[93] * 2. + vX_[746] * vX_[3968] - vX_[734];
+ vX_[1316] = 0 - (vX_[8954] + vX_[1316] * vX_[93] + vX_[744] * vX_[89] * 2. + vX_[746] * vX_[3966]) + vX_[621];
+ vX_[744] = vX_[744] + vX_[747] * vX_[3966];
+ vX_[544] = vX_[544] + vX_[761] * vX_[3968];
+ vX_[8954] = vX_[744] - vX_[544];
+ vX_[746] = 0 - vX_[744];
+ vX_[3234] = vX_[3234] + vX_[747] * vX_[3968] + vX_[761] * vX_[3966];
+ vX_[733] = 0 - vX_[3234];
+ vX_[1399] = (vX_[746] * vX_[79] + vX_[733] * vX_[60]) * 1 / vX_[72];
+ vX_[746] = vX_[760] * vX_[1010] + vX_[937] * vX_[84] + vX_[1093] * vX_[73] + vX_[746] * vX_[116] + vX_[1399];
+ vX_[1093] = 0 - vX_[544];
+ vX_[937] = vX_[1093] * vX_[60] * 1 / vX_[72];
+ vX_[1093] = vX_[762] * vX_[1010] + vX_[700] * vX_[84] + vX_[3712] * vX_[73] + vX_[733] * vX_[116] +
+ vX_[1093] * vX_[112] + vX_[937];
+ vX_[733] = 0 - vX_[1093];
+ vX_[3712] = vX_[8954] * vX_[7] + vX_[3234] * vX_[52];
+ vX_[700] = vX_[8954] * vX_[51] + vX_[3234] * vX_[7];
+ vX_[1315] = vX_[3712] * vX_[51] + vX_[700] * vX_[7];
+ vX_[8217] = vX_[544] + vX_[3712] * vX_[7];
+ vX_[3820] = vX_[544] + vX_[700] * vX_[51];
+ vX_[937] = vX_[744] + vX_[544] + 0 - vX_[757] * vX_[3895] - vX_[758] * vX_[3907] - vX_[759] * vX_[3985] +
+ vX_[759] * vX_[1010] - vX_[760] * vX_[4057] - vX_[762] * vX_[815] - vX_[2530] * vX_[84] -
+ vX_[1153] * vX_[73] - vX_[1399] * vX_[116] - vX_[937] * vX_[112] - vX_[8217] - vX_[3820];
+ vX_[1399] = 0 - vX_[937];
+ vX_[544] = vX_[621] * vX_[7] + vX_[734] * vX_[52];
+ vX_[744] = vX_[544] + vX_[1399] * vX_[57];
+ vX_[1153] = vX_[621] * vX_[51] + vX_[734] * vX_[7];
+ vX_[2530] = vX_[1153] + vX_[937] * vX_[54];
+ vX_[762] = sin(x_in[17]);
+ vX_[760] = 0 - vX_[1093];
+ vX_[759] = 0 - vX_[3820];
+ vX_[758] = cos(x_in[17]);
+ jac[630] =
+ 0 -
+ (vX_[753] * vX_[1985] + vX_[755] * vX_[805] + vX_[747] * vX_[984] + vX_[761] * vX_[1987] + vX_[529] * vX_[99] +
+ vX_[8982] * vX_[98] + vX_[625] * -0.466187537174287 + vX_[1180] * -0.00185880198235362 +
+ vX_[621] * vX_[64] + vX_[734] * vX_[68] + vX_[740] * vX_[78] + vX_[8964] * vX_[50] + vX_[1753] * vX_[77] +
+ vX_[1768] * vX_[53] + (vX_[740] * vX_[7] + vX_[1753] * vX_[51]) * 8.81e-05 +
+ (vX_[8964] * vX_[7] + vX_[1768] * vX_[52]) * -8.81e-05 + vX_[576] * vX_[67] + vX_[1316] * vX_[63] +
+ vX_[8954] * vX_[110] + vX_[746] * vX_[56] + vX_[1093] * vX_[59] + vX_[3234] * vX_[109] +
+ vX_[733] * vX_[58] + vX_[746] * vX_[55] + vX_[3712] * vX_[106] + vX_[700] * vX_[108] +
+ (vX_[1315] * vX_[66] + vX_[1399] * vX_[61] + vX_[8217] * vX_[62] + (0 - vX_[744]) * 0.414812462825713 +
+ (0 - (vX_[576] * vX_[51] + vX_[1316] * vX_[7]) + vX_[544] + vX_[8217] * vX_[57]) * 0.881 +
+ (0 - vX_[2530]) * -0.00185880198235362 +
+ (0 - (vX_[733] * vX_[7] + vX_[746] * vX_[52] + (vX_[746] * vX_[51] + vX_[1093] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[1315] * -0.0004405 + vX_[8217] * -0.2209548) *
+ -0.35 +
+ vX_[245] * vX_[4066] + vX_[3188] * vX_[4091] + vX_[2529] * vX_[4072] + vX_[816] * vX_[4074] +
+ (vX_[763] * vX_[1985] + vX_[245] * vX_[4082]) * 0.35 + vX_[1005] * vX_[1006] + vX_[773] * vX_[774] +
+ vX_[1011] * vX_[1017] + vX_[782] * vX_[788] + vX_[197] * vX_[962] + vX_[799] * vX_[802] +
+ vX_[1253] * vX_[769] + vX_[811] * vX_[75] + vX_[1019] * vX_[1025] + vX_[791] * vX_[796] +
+ vX_[964] * vX_[966] + vX_[748] * vX_[800] + vX_[980] * vX_[981] + vX_[8988] * vX_[9] +
+ vX_[1138] * vX_[822] + vX_[969] * vX_[971] + vX_[1968] * vX_[809] + vX_[8941] * vX_[869] +
+ vX_[1212] * vX_[886] + vX_[574] * vX_[864] + vX_[781] * vX_[907] + vX_[6467] * vX_[895] +
+ vX_[1202] * vX_[900] + vX_[1197] * vX_[861] + vX_[1175] * vX_[849] + vX_[8966] * vX_[853] +
+ vX_[1111] * vX_[880] + vX_[220] * vX_[883] + vX_[1990] * vX_[944] + vX_[1163] * vX_[931] +
+ vX_[8967] * vX_[938]) *
+ vX_[762] +
+ (vX_[753] * vX_[805] + vX_[747] * vX_[1987] + vX_[529] * vX_[98] + vX_[625] * -0.00185880198235362 +
+ vX_[1180] * -7.4114911576828e-06 + vX_[621] * vX_[68] + vX_[8964] * vX_[53] + vX_[1753] * vX_[78] +
+ (vX_[740] * vX_[52] + vX_[1753] * vX_[7]) * -8.81e-05 + vX_[576] * vX_[63] + vX_[8954] * vX_[109] +
+ vX_[746] * vX_[59] + vX_[760] * vX_[55] + vX_[3712] * vX_[108] + vX_[700] * vX_[107] +
+ vX_[3188] * vX_[4066] + vX_[816] * vX_[4072] - (vX_[755] * vX_[1985] + vX_[245] * vX_[4091]) +
+ (vX_[763] * vX_[805] + vX_[937] * vX_[65] + vX_[759] * vX_[66] + vX_[744] * -0.00185880198235362 +
+ vX_[2530] * 0.880992588508842 +
+ (0 - (vX_[576] * vX_[7] + vX_[1316] * vX_[52] + vX_[1153] + vX_[1315] * vX_[57] + vX_[759] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[760] * vX_[51] + vX_[746] * vX_[7]) + (vX_[746] * vX_[7] + vX_[1093] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[1315]) * -0.1104774 + (0 - vX_[3820]) * -0.000881 + vX_[3188] * vX_[4082]) *
+ 0.35 -
+ (vX_[761] * vX_[984] + vX_[8982] * vX_[99] + vX_[734] * vX_[64] + vX_[740] * vX_[77] + vX_[1768] * vX_[50] +
+ (vX_[8964] * vX_[51] + vX_[1768] * vX_[7]) * 8.81e-05 + vX_[1316] * vX_[67] + vX_[1093] * vX_[56] +
+ vX_[3234] * vX_[110] + vX_[746] * vX_[58] + vX_[2529] * vX_[4074]) +
+ vX_[766] * vX_[768] + vX_[1007] * vX_[1006] + vX_[954] * vX_[955] + vX_[1011] * vX_[1014] +
+ vX_[782] * vX_[785] + vX_[958] * vX_[960] + vX_[772] * vX_[800] + vX_[977] * vX_[979] + vX_[953] * vX_[9] +
+ vX_[1019] * vX_[1022] + vX_[791] * vX_[793] + vX_[6490] * vX_[967] + vX_[804] * vX_[802] +
+ vX_[1248] * vX_[769] + vX_[813] * vX_[814] + vX_[982] * vX_[820] + vX_[969] * vX_[973] +
+ vX_[1027] * vX_[808] + vX_[8945] * vX_[867] + vX_[1212] * vX_[888] + vX_[770] * vX_[863] +
+ vX_[781] * vX_[905] + vX_[6467] * vX_[897] + vX_[1202] * vX_[901] + vX_[1200] * vX_[859] +
+ vX_[1184] * vX_[847] + vX_[8966] * vX_[855] + vX_[4068] * vX_[879] + vX_[1159] * vX_[882] +
+ vX_[2013] * vX_[942] + vX_[1163] * vX_[933] + vX_[1028] * vX_[808]) *
+ vX_[758];
+ vX_[2140] = vX_[173] + vX_[3733] * vX_[76] + vX_[2140] * vX_[89] + vX_[2151] * vX_[3912];
+ vX_[2137] = vX_[173] + vX_[208] * vX_[4] + vX_[2137] * vX_[93] + vX_[2152] * vX_[3984];
+ vX_[173] = vX_[2140] - vX_[2137];
+ vX_[174] = vX_[3733] * vX_[4] + vX_[208] * vX_[76] + vX_[2141] * vX_[93] + vX_[174] * vX_[89] +
+ vX_[2151] * vX_[3984] + vX_[2152] * vX_[3912];
+ vX_[2141] = vX_[173] * vX_[7] + vX_[174] * vX_[52];
+ vX_[208] = vX_[173] * vX_[51] + vX_[174] * vX_[7];
+ vX_[2140] = 0 - vX_[2140];
+ vX_[3733] = 0 - vX_[174];
+ vX_[708] =
+ vX_[2135] * vX_[76] + vX_[179] * vX_[4] + vX_[708] * vX_[89] + vX_[2151] * vX_[3966] + vX_[2148] * vX_[3912];
+ vX_[759] = 0 - vX_[708];
+ vX_[1262] =
+ vX_[2135] * vX_[4] + vX_[179] * vX_[75] + vX_[1262] * vX_[89] + vX_[2151] * vX_[3968] + vX_[2157] * vX_[3912];
+ vX_[2135] = 0 - vX_[1262];
+ vX_[179] = (vX_[2140] * vX_[83] + vX_[3733] * vX_[70] + vX_[759] * vX_[79] + vX_[2135] * vX_[60]) * 1 / vX_[72];
+ vX_[2140] = vX_[2153] * vX_[1010] + vX_[2140] * vX_[84] + vX_[179];
+ vX_[2137] = 0 - vX_[2137];
+ vX_[2121] =
+ vX_[1552] * vX_[76] + vX_[176] * vX_[4] + vX_[2121] * vX_[93] + vX_[2152] * vX_[3966] + vX_[2148] * vX_[3984];
+ vX_[760] = 0 - vX_[2121];
+ vX_[3668] =
+ vX_[1552] * vX_[4] + vX_[176] * vX_[75] + vX_[3668] * vX_[93] + vX_[2152] * vX_[3968] + vX_[2157] * vX_[3984];
+ vX_[1552] = 0 - vX_[3668];
+ vX_[176] = (vX_[2137] * vX_[70] + vX_[760] * vX_[79] + vX_[1552] * vX_[60]) * 1 / vX_[72];
+ vX_[2137] = vX_[2154] * vX_[1010] + vX_[3733] * vX_[84] + vX_[2137] * vX_[73] + vX_[176];
+ vX_[8530] = vX_[2138] + vX_[169] * vX_[89] + vX_[8530] * vX_[93] * 2. + vX_[2147] * vX_[3968] - vX_[2137];
+ vX_[3737] = 0 - (vX_[216] + vX_[3737] * vX_[93] + vX_[2145] * vX_[89] * 2. + vX_[2147] * vX_[3966]) + vX_[2140];
+ vX_[2145] = vX_[2145] + vX_[2148] * vX_[3966];
+ vX_[2143] = vX_[2143] + vX_[2157] * vX_[3968];
+ vX_[216] = vX_[2145] - vX_[2143];
+ vX_[2147] = 0 - vX_[2145];
+ vX_[169] = vX_[169] + vX_[2148] * vX_[3968] + vX_[2157] * vX_[3966];
+ vX_[2138] = 0 - vX_[169];
+ vX_[3733] = (vX_[2147] * vX_[79] + vX_[2138] * vX_[60]) * 1 / vX_[72];
+ vX_[2147] = vX_[2156] * vX_[1010] + vX_[759] * vX_[84] + vX_[760] * vX_[73] + vX_[2147] * vX_[116] + vX_[3733];
+ vX_[760] = 0 - vX_[2143];
+ vX_[759] = vX_[760] * vX_[60] * 1 / vX_[72];
+ vX_[760] = vX_[2158] * vX_[1010] + vX_[2135] * vX_[84] + vX_[1552] * vX_[73] + vX_[2138] * vX_[116] +
+ vX_[760] * vX_[112] + vX_[759];
+ vX_[2138] = 0 - vX_[760];
+ vX_[1552] = vX_[216] * vX_[7] + vX_[169] * vX_[52];
+ vX_[2135] = vX_[216] * vX_[51] + vX_[169] * vX_[7];
+ vX_[2530] = vX_[1552] * vX_[51] + vX_[2135] * vX_[7];
+ vX_[1153] = vX_[2143] + vX_[1552] * vX_[7];
+ vX_[744] = vX_[2143] + vX_[2135] * vX_[51];
+ vX_[759] = vX_[2145] + vX_[2143] + 0 - vX_[2153] * vX_[3895] - vX_[2154] * vX_[3907] - vX_[2155] * vX_[3985] +
+ vX_[2155] * vX_[1010] - vX_[2156] * vX_[4057] - vX_[2158] * vX_[815] - vX_[179] * vX_[84] -
+ vX_[176] * vX_[73] - vX_[3733] * vX_[116] - vX_[759] * vX_[112] - vX_[1153] - vX_[744];
+ vX_[3733] = 0 - vX_[759];
+ vX_[2143] = vX_[2140] * vX_[7] + vX_[2137] * vX_[52];
+ vX_[2145] = vX_[2143] + vX_[3733] * vX_[57];
+ vX_[176] = vX_[2140] * vX_[51] + vX_[2137] * vX_[7];
+ vX_[179] = vX_[176] + vX_[759] * vX_[54];
+ vX_[2158] = 0 - vX_[760];
+ vX_[2156] = 0 - vX_[744];
+ jac[631] =
+ 0 -
+ (vX_[2151] * vX_[1985] + vX_[2152] * vX_[805] + vX_[2148] * vX_[984] + vX_[2157] * vX_[1987] +
+ vX_[173] * vX_[99] + vX_[174] * vX_[98] + vX_[2141] * -0.466187537174287 + vX_[208] * -0.00185880198235362 +
+ vX_[2140] * vX_[64] + vX_[2137] * vX_[68] + vX_[2121] * vX_[78] + vX_[1262] * vX_[50] + vX_[708] * vX_[77] +
+ vX_[3668] * vX_[53] + (vX_[2121] * vX_[7] + vX_[708] * vX_[51]) * 8.81e-05 +
+ (vX_[1262] * vX_[7] + vX_[3668] * vX_[52]) * -8.81e-05 + vX_[8530] * vX_[67] + vX_[3737] * vX_[63] +
+ vX_[216] * vX_[110] + vX_[2147] * vX_[56] + vX_[760] * vX_[59] + vX_[169] * vX_[109] + vX_[2138] * vX_[58] +
+ vX_[2147] * vX_[55] + vX_[1552] * vX_[106] + vX_[2135] * vX_[108] +
+ (vX_[2530] * vX_[66] + vX_[3733] * vX_[61] + vX_[1153] * vX_[62] + (0 - vX_[2145]) * 0.414812462825713 +
+ (0 - (vX_[8530] * vX_[51] + vX_[3737] * vX_[7]) + vX_[2143] + vX_[1153] * vX_[57]) * 0.881 +
+ (0 - vX_[179]) * -0.00185880198235362 +
+ (0 - (vX_[2138] * vX_[7] + vX_[2147] * vX_[52] + (vX_[2147] * vX_[51] + vX_[760] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[2530] * -0.0004405 + vX_[1153] * -0.2209548) *
+ -0.35 +
+ vX_[8978] * vX_[4066] + vX_[2026] * vX_[4091] + vX_[663] * vX_[4072] + vX_[165] * vX_[4074] +
+ (vX_[2159] * vX_[1985] + vX_[8978] * vX_[4082]) * 0.35 + vX_[2195] * vX_[1006] + vX_[2163] * vX_[774] +
+ vX_[2198] * vX_[1017] + vX_[2167] * vX_[788] + vX_[3707] * vX_[962] + vX_[2171] * vX_[802] +
+ vX_[2766] * vX_[769] + vX_[2174] * vX_[75] + vX_[2199] * vX_[1025] + vX_[2169] * vX_[796] +
+ vX_[2184] * vX_[966] + vX_[2149] * vX_[800] + vX_[2188] * vX_[981] + vX_[1234] * vX_[9] +
+ vX_[3630] * vX_[822] + vX_[2185] * vX_[971] + vX_[8950] * vX_[809] + vX_[946] * vX_[869] +
+ vX_[7353] * vX_[886] + vX_[207] * vX_[864] + vX_[2166] * vX_[907] + vX_[665] * vX_[895] +
+ vX_[2770] * vX_[900] + vX_[466] * vX_[861] + vX_[8573] * vX_[849] + vX_[3717] * vX_[853] +
+ vX_[184] * vX_[880] + vX_[215] * vX_[883] + vX_[2422] * vX_[944] + vX_[8554] * vX_[931] +
+ vX_[2111] * vX_[938]) *
+ vX_[762] +
+ (vX_[2151] * vX_[805] + vX_[2148] * vX_[1987] + vX_[173] * vX_[98] + vX_[2141] * -0.00185880198235362 +
+ vX_[208] * -7.4114911576828e-06 + vX_[2140] * vX_[68] + vX_[1262] * vX_[53] + vX_[708] * vX_[78] +
+ (vX_[2121] * vX_[52] + vX_[708] * vX_[7]) * -8.81e-05 + vX_[8530] * vX_[63] + vX_[216] * vX_[109] +
+ vX_[2147] * vX_[59] + vX_[2158] * vX_[55] + vX_[1552] * vX_[108] + vX_[2135] * vX_[107] +
+ vX_[2026] * vX_[4066] + vX_[165] * vX_[4072] - (vX_[2152] * vX_[1985] + vX_[8978] * vX_[4091]) +
+ (vX_[2159] * vX_[805] + vX_[759] * vX_[65] + vX_[2156] * vX_[66] + vX_[2145] * -0.00185880198235362 +
+ vX_[179] * 0.880992588508842 +
+ (0 -
+ (vX_[8530] * vX_[7] + vX_[3737] * vX_[52] + vX_[176] + vX_[2530] * vX_[57] + vX_[2156] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[2158] * vX_[51] + vX_[2147] * vX_[7]) + (vX_[2147] * vX_[7] + vX_[760] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[2530]) * -0.1104774 + (0 - vX_[744]) * -0.000881 + vX_[2026] * vX_[4082]) *
+ 0.35 -
+ (vX_[2157] * vX_[984] + vX_[174] * vX_[99] + vX_[2137] * vX_[64] + vX_[2121] * vX_[77] +
+ vX_[3668] * vX_[50] + (vX_[1262] * vX_[51] + vX_[3668] * vX_[7]) * 8.81e-05 + vX_[3737] * vX_[67] +
+ vX_[760] * vX_[56] + vX_[169] * vX_[110] + vX_[2147] * vX_[58] + vX_[663] * vX_[4074]) +
+ vX_[2161] * vX_[768] + vX_[2196] * vX_[1006] + vX_[2181] * vX_[955] + vX_[2198] * vX_[1014] +
+ vX_[2167] * vX_[785] + vX_[2183] * vX_[960] + vX_[2162] * vX_[800] + vX_[2187] * vX_[979] +
+ vX_[2180] * vX_[9] + vX_[2199] * vX_[1022] + vX_[2169] * vX_[793] + vX_[8965] * vX_[967] +
+ vX_[2172] * vX_[802] + vX_[7121] * vX_[769] + vX_[2175] * vX_[814] + vX_[2189] * vX_[820] +
+ vX_[2185] * vX_[973] + vX_[2200] * vX_[808] + vX_[181] * vX_[867] + vX_[7353] * vX_[888] +
+ vX_[1542] * vX_[863] + vX_[2166] * vX_[905] + vX_[665] * vX_[897] + vX_[2770] * vX_[901] +
+ vX_[8145] * vX_[859] + vX_[8511] * vX_[847] + vX_[3717] * vX_[855] + vX_[685] * vX_[879] +
+ vX_[177] * vX_[882] + vX_[44] * vX_[942] + vX_[8554] * vX_[933] + vX_[2201] * vX_[808]) *
+ vX_[758];
+ vX_[2540] = vX_[8539] + vX_[2926] * vX_[76] + vX_[2540] * vX_[89] + vX_[2551] * vX_[3912];
+ vX_[2537] = vX_[8539] + vX_[7331] * vX_[4] + vX_[2537] * vX_[93] + vX_[2552] * vX_[3984];
+ vX_[8539] = vX_[2540] - vX_[2537];
+ vX_[8545] = vX_[2926] * vX_[4] + vX_[7331] * vX_[76] + vX_[2541] * vX_[93] + vX_[8545] * vX_[89] +
+ vX_[2551] * vX_[3984] + vX_[2552] * vX_[3912];
+ vX_[2541] = vX_[8539] * vX_[7] + vX_[8545] * vX_[52];
+ vX_[7331] = vX_[8539] * vX_[51] + vX_[8545] * vX_[7];
+ vX_[2540] = 0 - vX_[2540];
+ vX_[2926] = 0 - vX_[8545];
+ vX_[1846] =
+ vX_[2535] * vX_[76] + vX_[6909] * vX_[4] + vX_[1846] * vX_[89] + vX_[2551] * vX_[3966] + vX_[2548] * vX_[3912];
+ vX_[2156] = 0 - vX_[1846];
+ vX_[8540] =
+ vX_[2535] * vX_[4] + vX_[6909] * vX_[75] + vX_[8540] * vX_[89] + vX_[2551] * vX_[3968] + vX_[2557] * vX_[3912];
+ vX_[2535] = 0 - vX_[8540];
+ vX_[6909] = (vX_[2540] * vX_[83] + vX_[2926] * vX_[70] + vX_[2156] * vX_[79] + vX_[2535] * vX_[60]) * 1 / vX_[72];
+ vX_[2540] = vX_[2553] * vX_[1010] + vX_[2540] * vX_[84] + vX_[6909];
+ vX_[2537] = 0 - vX_[2537];
+ vX_[2520] =
+ vX_[8342] * vX_[76] + vX_[8562] * vX_[4] + vX_[2520] * vX_[93] + vX_[2552] * vX_[3966] + vX_[2548] * vX_[3984];
+ vX_[2158] = 0 - vX_[2520];
+ vX_[926] =
+ vX_[8342] * vX_[4] + vX_[8562] * vX_[75] + vX_[926] * vX_[93] + vX_[2552] * vX_[3968] + vX_[2557] * vX_[3984];
+ vX_[8342] = 0 - vX_[926];
+ vX_[8562] = (vX_[2537] * vX_[70] + vX_[2158] * vX_[79] + vX_[8342] * vX_[60]) * 1 / vX_[72];
+ vX_[2537] = vX_[2554] * vX_[1010] + vX_[2926] * vX_[84] + vX_[2537] * vX_[73] + vX_[8562];
+ vX_[449] = vX_[2538] + vX_[8542] * vX_[89] + vX_[449] * vX_[93] * 2. + vX_[2547] * vX_[3968] - vX_[2537];
+ vX_[1544] = 0 - (vX_[8749] + vX_[1544] * vX_[93] + vX_[2545] * vX_[89] * 2. + vX_[2547] * vX_[3966]) + vX_[2540];
+ vX_[2545] = vX_[2545] + vX_[2548] * vX_[3966];
+ vX_[2543] = vX_[2543] + vX_[2557] * vX_[3968];
+ vX_[8749] = vX_[2545] - vX_[2543];
+ vX_[2547] = 0 - vX_[2545];
+ vX_[8542] = vX_[8542] + vX_[2548] * vX_[3968] + vX_[2557] * vX_[3966];
+ vX_[2538] = 0 - vX_[8542];
+ vX_[2926] = (vX_[2547] * vX_[79] + vX_[2538] * vX_[60]) * 1 / vX_[72];
+ vX_[2547] = vX_[2556] * vX_[1010] + vX_[2156] * vX_[84] + vX_[2158] * vX_[73] + vX_[2547] * vX_[116] + vX_[2926];
+ vX_[2158] = 0 - vX_[2543];
+ vX_[2156] = vX_[2158] * vX_[60] * 1 / vX_[72];
+ vX_[2158] = vX_[2558] * vX_[1010] + vX_[2535] * vX_[84] + vX_[8342] * vX_[73] + vX_[2538] * vX_[116] +
+ vX_[2158] * vX_[112] + vX_[2156];
+ vX_[2538] = 0 - vX_[2158];
+ vX_[8342] = vX_[8749] * vX_[7] + vX_[8542] * vX_[52];
+ vX_[2535] = vX_[8749] * vX_[51] + vX_[8542] * vX_[7];
+ vX_[179] = vX_[8342] * vX_[51] + vX_[2535] * vX_[7];
+ vX_[176] = vX_[2543] + vX_[8342] * vX_[7];
+ vX_[2145] = vX_[2543] + vX_[2535] * vX_[51];
+ vX_[2156] = vX_[2545] + vX_[2543] + 0 - vX_[2553] * vX_[3895] - vX_[2554] * vX_[3907] - vX_[2555] * vX_[3985] +
+ vX_[2555] * vX_[1010] - vX_[2556] * vX_[4057] - vX_[2558] * vX_[815] - vX_[6909] * vX_[84] -
+ vX_[8562] * vX_[73] - vX_[2926] * vX_[116] - vX_[2156] * vX_[112] - vX_[176] - vX_[2145];
+ vX_[2926] = 0 - vX_[2156];
+ vX_[2543] = vX_[2540] * vX_[7] + vX_[2537] * vX_[52];
+ vX_[2545] = vX_[2543] + vX_[2926] * vX_[57];
+ vX_[8562] = vX_[2540] * vX_[51] + vX_[2537] * vX_[7];
+ vX_[6909] = vX_[8562] + vX_[2156] * vX_[54];
+ vX_[2558] = 0 - vX_[2158];
+ vX_[2556] = 0 - vX_[2145];
+ jac[632] =
+ 0 -
+ (vX_[2551] * vX_[1985] + vX_[2552] * vX_[805] + vX_[2548] * vX_[984] + vX_[2557] * vX_[1987] +
+ vX_[8539] * vX_[99] + vX_[8545] * vX_[98] + vX_[2541] * -0.466187537174287 +
+ vX_[7331] * -0.00185880198235362 + vX_[2540] * vX_[64] + vX_[2537] * vX_[68] + vX_[2520] * vX_[78] +
+ vX_[8540] * vX_[50] + vX_[1846] * vX_[77] + vX_[926] * vX_[53] +
+ (vX_[2520] * vX_[7] + vX_[1846] * vX_[51]) * 8.81e-05 +
+ (vX_[8540] * vX_[7] + vX_[926] * vX_[52]) * -8.81e-05 + vX_[449] * vX_[67] + vX_[1544] * vX_[63] +
+ vX_[8749] * vX_[110] + vX_[2547] * vX_[56] + vX_[2158] * vX_[59] + vX_[8542] * vX_[109] +
+ vX_[2538] * vX_[58] + vX_[2547] * vX_[55] + vX_[8342] * vX_[106] + vX_[2535] * vX_[108] +
+ (vX_[179] * vX_[66] + vX_[2926] * vX_[61] + vX_[176] * vX_[62] + (0 - vX_[2545]) * 0.414812462825713 +
+ (0 - (vX_[449] * vX_[51] + vX_[1544] * vX_[7]) + vX_[2543] + vX_[176] * vX_[57]) * 0.881 +
+ (0 - vX_[6909]) * -0.00185880198235362 +
+ (0 - (vX_[2538] * vX_[7] + vX_[2547] * vX_[52] + (vX_[2547] * vX_[51] + vX_[2158] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[179] * -0.0004405 + vX_[176] * -0.2209548) *
+ -0.35 +
+ vX_[1100] * vX_[4066] + vX_[217] * vX_[4091] + vX_[2118] * vX_[4072] + vX_[8705] * vX_[4074] +
+ (vX_[2559] * vX_[1985] + vX_[1100] * vX_[4082]) * 0.35 + vX_[2595] * vX_[1006] + vX_[2563] * vX_[774] +
+ vX_[2598] * vX_[1017] + vX_[2567] * vX_[788] + vX_[1569] * vX_[962] + vX_[2571] * vX_[802] +
+ vX_[2929] * vX_[769] + vX_[2574] * vX_[75] + vX_[2599] * vX_[1025] + vX_[2569] * vX_[796] +
+ vX_[2584] * vX_[966] + vX_[2549] * vX_[800] + vX_[2588] * vX_[981] + vX_[8350] * vX_[9] +
+ vX_[2923] * vX_[822] + vX_[2585] * vX_[971] + vX_[2408] * vX_[809] + vX_[8086] * vX_[869] +
+ vX_[8082] * vX_[886] + vX_[7348] * vX_[864] + vX_[2566] * vX_[907] + vX_[2109] * vX_[895] +
+ vX_[8144] * vX_[900] + vX_[8118] * vX_[861] + vX_[1900] * vX_[849] + vX_[1503] * vX_[853] +
+ vX_[8521] * vX_[880] + vX_[8764] * vX_[883] + vX_[2822] * vX_[944] + vX_[7737] * vX_[931] +
+ vX_[2511] * vX_[938]) *
+ vX_[762] +
+ (vX_[2551] * vX_[805] + vX_[2548] * vX_[1987] + vX_[8539] * vX_[98] + vX_[2541] * -0.00185880198235362 +
+ vX_[7331] * -7.4114911576828e-06 + vX_[2540] * vX_[68] + vX_[8540] * vX_[53] + vX_[1846] * vX_[78] +
+ (vX_[2520] * vX_[52] + vX_[1846] * vX_[7]) * -8.81e-05 + vX_[449] * vX_[63] + vX_[8749] * vX_[109] +
+ vX_[2547] * vX_[59] + vX_[2558] * vX_[55] + vX_[8342] * vX_[108] + vX_[2535] * vX_[107] +
+ vX_[217] * vX_[4066] + vX_[8705] * vX_[4072] - (vX_[2552] * vX_[1985] + vX_[1100] * vX_[4091]) +
+ (vX_[2559] * vX_[805] + vX_[2156] * vX_[65] + vX_[2556] * vX_[66] + vX_[2545] * -0.00185880198235362 +
+ vX_[6909] * 0.880992588508842 +
+ (0 - (vX_[449] * vX_[7] + vX_[1544] * vX_[52] + vX_[8562] + vX_[179] * vX_[57] + vX_[2556] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[2558] * vX_[51] + vX_[2547] * vX_[7]) + (vX_[2547] * vX_[7] + vX_[2158] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[179]) * -0.1104774 + (0 - vX_[2145]) * -0.000881 + vX_[217] * vX_[4082]) *
+ 0.35 -
+ (vX_[2557] * vX_[984] + vX_[8545] * vX_[99] + vX_[2537] * vX_[64] + vX_[2520] * vX_[77] +
+ vX_[926] * vX_[50] + (vX_[8540] * vX_[51] + vX_[926] * vX_[7]) * 8.81e-05 + vX_[1544] * vX_[67] +
+ vX_[2158] * vX_[56] + vX_[8542] * vX_[110] + vX_[2547] * vX_[58] + vX_[2118] * vX_[4074]) +
+ vX_[2561] * vX_[768] + vX_[2596] * vX_[1006] + vX_[2581] * vX_[955] + vX_[2598] * vX_[1014] +
+ vX_[2567] * vX_[785] + vX_[2583] * vX_[960] + vX_[2562] * vX_[800] + vX_[2587] * vX_[979] +
+ vX_[2580] * vX_[9] + vX_[2599] * vX_[1022] + vX_[2569] * vX_[793] + vX_[171] * vX_[967] +
+ vX_[2572] * vX_[802] + vX_[1730] * vX_[769] + vX_[2575] * vX_[814] + vX_[2589] * vX_[820] +
+ vX_[2585] * vX_[973] + vX_[2600] * vX_[808] + vX_[8103] * vX_[867] + vX_[8082] * vX_[888] +
+ vX_[2124] * vX_[863] + vX_[2566] * vX_[905] + vX_[2109] * vX_[897] + vX_[8144] * vX_[901] +
+ vX_[8119] * vX_[859] + vX_[3666] * vX_[847] + vX_[1503] * vX_[855] + vX_[1394] * vX_[879] +
+ vX_[8533] * vX_[882] + vX_[3687] * vX_[942] + vX_[7737] * vX_[933] + vX_[2601] * vX_[808]) *
+ vX_[758];
+ vX_[2967] = vX_[447] + vX_[8505] * vX_[76] + vX_[2967] * vX_[89] + vX_[2978] * vX_[3912];
+ vX_[2964] = vX_[447] + vX_[8116] * vX_[4] + vX_[2964] * vX_[93] + vX_[2979] * vX_[3984];
+ vX_[447] = vX_[2967] - vX_[2964];
+ vX_[8140] = vX_[8505] * vX_[4] + vX_[8116] * vX_[76] + vX_[2968] * vX_[93] + vX_[8140] * vX_[89] +
+ vX_[2978] * vX_[3984] + vX_[2979] * vX_[3912];
+ vX_[2968] = vX_[447] * vX_[7] + vX_[8140] * vX_[52];
+ vX_[8116] = vX_[447] * vX_[51] + vX_[8140] * vX_[7];
+ vX_[2967] = 0 - vX_[2967];
+ vX_[8505] = 0 - vX_[8140];
+ vX_[3721] =
+ vX_[2962] * vX_[76] + vX_[8128] * vX_[4] + vX_[3721] * vX_[89] + vX_[2978] * vX_[3966] + vX_[2975] * vX_[3912];
+ vX_[2556] = 0 - vX_[3721];
+ vX_[8102] =
+ vX_[2962] * vX_[4] + vX_[8128] * vX_[75] + vX_[8102] * vX_[89] + vX_[2978] * vX_[3968] + vX_[2984] * vX_[3912];
+ vX_[2962] = 0 - vX_[8102];
+ vX_[8128] = (vX_[2967] * vX_[83] + vX_[8505] * vX_[70] + vX_[2556] * vX_[79] + vX_[2962] * vX_[60]) * 1 / vX_[72];
+ vX_[2967] = vX_[2980] * vX_[1010] + vX_[2967] * vX_[84] + vX_[8128];
+ vX_[2964] = 0 - vX_[2964];
+ vX_[2947] =
+ vX_[7481] * vX_[76] + vX_[8127] * vX_[4] + vX_[2947] * vX_[93] + vX_[2979] * vX_[3966] + vX_[2975] * vX_[3984];
+ vX_[2558] = 0 - vX_[2947];
+ vX_[8325] =
+ vX_[7481] * vX_[4] + vX_[8127] * vX_[75] + vX_[8325] * vX_[93] + vX_[2979] * vX_[3968] + vX_[2984] * vX_[3984];
+ vX_[7481] = 0 - vX_[8325];
+ vX_[8127] = (vX_[2964] * vX_[70] + vX_[2558] * vX_[79] + vX_[7481] * vX_[60]) * 1 / vX_[72];
+ vX_[2964] = vX_[2981] * vX_[1010] + vX_[8505] * vX_[84] + vX_[2964] * vX_[73] + vX_[8127];
+ vX_[9036] = vX_[2965] + vX_[8163] * vX_[89] + vX_[9036] * vX_[93] * 2. + vX_[2974] * vX_[3968] - vX_[2964];
+ vX_[8371] = 0 - (vX_[8133] + vX_[8371] * vX_[93] + vX_[2972] * vX_[89] * 2. + vX_[2974] * vX_[3966]) + vX_[2967];
+ vX_[2972] = vX_[2972] + vX_[2975] * vX_[3966];
+ vX_[2970] = vX_[2970] + vX_[2984] * vX_[3968];
+ vX_[8133] = vX_[2972] - vX_[2970];
+ vX_[2974] = 0 - vX_[2972];
+ vX_[8163] = vX_[8163] + vX_[2975] * vX_[3968] + vX_[2984] * vX_[3966];
+ vX_[2965] = 0 - vX_[8163];
+ vX_[8505] = (vX_[2974] * vX_[79] + vX_[2965] * vX_[60]) * 1 / vX_[72];
+ vX_[2974] = vX_[2983] * vX_[1010] + vX_[2556] * vX_[84] + vX_[2558] * vX_[73] + vX_[2974] * vX_[116] + vX_[8505];
+ vX_[2558] = 0 - vX_[2970];
+ vX_[2556] = vX_[2558] * vX_[60] * 1 / vX_[72];
+ vX_[2558] = vX_[2985] * vX_[1010] + vX_[2962] * vX_[84] + vX_[7481] * vX_[73] + vX_[2965] * vX_[116] +
+ vX_[2558] * vX_[112] + vX_[2556];
+ vX_[2965] = 0 - vX_[2558];
+ vX_[7481] = vX_[8133] * vX_[7] + vX_[8163] * vX_[52];
+ vX_[2962] = vX_[8133] * vX_[51] + vX_[8163] * vX_[7];
+ vX_[6909] = vX_[7481] * vX_[51] + vX_[2962] * vX_[7];
+ vX_[8562] = vX_[2970] + vX_[7481] * vX_[7];
+ vX_[2545] = vX_[2970] + vX_[2962] * vX_[51];
+ vX_[2556] = vX_[2972] + vX_[2970] + 0 - vX_[2980] * vX_[3895] - vX_[2981] * vX_[3907] - vX_[2982] * vX_[3985] +
+ vX_[2982] * vX_[1010] - vX_[2983] * vX_[4057] - vX_[2985] * vX_[815] - vX_[8128] * vX_[84] -
+ vX_[8127] * vX_[73] - vX_[8505] * vX_[116] - vX_[2556] * vX_[112] - vX_[8562] - vX_[2545];
+ vX_[8505] = 0 - vX_[2556];
+ vX_[2970] = vX_[2967] * vX_[7] + vX_[2964] * vX_[52];
+ vX_[2972] = vX_[2970] + vX_[8505] * vX_[57];
+ vX_[8127] = vX_[2967] * vX_[51] + vX_[2964] * vX_[7];
+ vX_[8128] = vX_[8127] + vX_[2556] * vX_[54];
+ vX_[2985] = 0 - vX_[2558];
+ vX_[2983] = 0 - vX_[2545];
+ jac[633] =
+ 0 -
+ (vX_[2978] * vX_[1985] + vX_[2979] * vX_[805] + vX_[2975] * vX_[984] + vX_[2984] * vX_[1987] +
+ vX_[447] * vX_[99] + vX_[8140] * vX_[98] + vX_[2968] * -0.466187537174287 +
+ vX_[8116] * -0.00185880198235362 + vX_[2967] * vX_[64] + vX_[2964] * vX_[68] + vX_[2947] * vX_[78] +
+ vX_[8102] * vX_[50] + vX_[3721] * vX_[77] + vX_[8325] * vX_[53] +
+ (vX_[2947] * vX_[7] + vX_[3721] * vX_[51]) * 8.81e-05 +
+ (vX_[8102] * vX_[7] + vX_[8325] * vX_[52]) * -8.81e-05 + vX_[9036] * vX_[67] + vX_[8371] * vX_[63] +
+ vX_[8133] * vX_[110] + vX_[2974] * vX_[56] + vX_[2558] * vX_[59] + vX_[8163] * vX_[109] +
+ vX_[2965] * vX_[58] + vX_[2974] * vX_[55] + vX_[7481] * vX_[106] + vX_[2962] * vX_[108] +
+ (vX_[6909] * vX_[66] + vX_[8505] * vX_[61] + vX_[8562] * vX_[62] + (0 - vX_[2972]) * 0.414812462825713 +
+ (0 - (vX_[9036] * vX_[51] + vX_[8371] * vX_[7]) + vX_[2970] + vX_[8562] * vX_[57]) * 0.881 +
+ (0 - vX_[8128]) * -0.00185880198235362 +
+ (0 - (vX_[2965] * vX_[7] + vX_[2974] * vX_[52] + (vX_[2974] * vX_[51] + vX_[2558] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[6909] * -0.0004405 + vX_[8562] * -0.2209548) *
+ -0.35 +
+ vX_[6614] * vX_[4066] + vX_[2357] * vX_[4091] + vX_[2517] * vX_[4072] + vX_[1864] * vX_[4074] +
+ (vX_[2986] * vX_[1985] + vX_[6614] * vX_[4082]) * 0.35 + vX_[3022] * vX_[1006] + vX_[2990] * vX_[774] +
+ vX_[3025] * vX_[1017] + vX_[2994] * vX_[788] + vX_[8355] * vX_[962] + vX_[2998] * vX_[802] +
+ vX_[7664] * vX_[769] + vX_[3001] * vX_[75] + vX_[3026] * vX_[1025] + vX_[2996] * vX_[796] +
+ vX_[3011] * vX_[966] + vX_[2976] * vX_[800] + vX_[3015] * vX_[981] + vX_[7489] * vX_[9] +
+ vX_[8376] * vX_[822] + vX_[3012] * vX_[971] + vX_[8099] * vX_[809] + vX_[7672] * vX_[869] +
+ vX_[7699] * vX_[886] + vX_[1760] * vX_[864] + vX_[2993] * vX_[907] + vX_[1939] * vX_[895] +
+ vX_[9288] * vX_[900] + vX_[9286] * vX_[861] + vX_[7710] * vX_[849] + vX_[8352] * vX_[853] +
+ vX_[6690] * vX_[880] + vX_[7577] * vX_[883] + vX_[3249] * vX_[944] + vX_[7724] * vX_[931] +
+ vX_[8367] * vX_[938]) *
+ vX_[762] +
+ (vX_[2978] * vX_[805] + vX_[2975] * vX_[1987] + vX_[447] * vX_[98] + vX_[2968] * -0.00185880198235362 +
+ vX_[8116] * -7.4114911576828e-06 + vX_[2967] * vX_[68] + vX_[8102] * vX_[53] + vX_[3721] * vX_[78] +
+ (vX_[2947] * vX_[52] + vX_[3721] * vX_[7]) * -8.81e-05 + vX_[9036] * vX_[63] + vX_[8133] * vX_[109] +
+ vX_[2974] * vX_[59] + vX_[2985] * vX_[55] + vX_[7481] * vX_[108] + vX_[2962] * vX_[107] +
+ vX_[2357] * vX_[4066] + vX_[1864] * vX_[4072] - (vX_[2979] * vX_[1985] + vX_[6614] * vX_[4091]) +
+ (vX_[2986] * vX_[805] + vX_[2556] * vX_[65] + vX_[2983] * vX_[66] + vX_[2972] * -0.00185880198235362 +
+ vX_[8128] * 0.880992588508842 +
+ (0 - (vX_[9036] * vX_[7] + vX_[8371] * vX_[52] + vX_[8127] + vX_[6909] * vX_[57] +
+ vX_[2983] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[2985] * vX_[51] + vX_[2974] * vX_[7]) + (vX_[2974] * vX_[7] + vX_[2558] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[6909]) * -0.1104774 + (0 - vX_[2545]) * -0.000881 + vX_[2357] * vX_[4082]) *
+ 0.35 -
+ (vX_[2984] * vX_[984] + vX_[8140] * vX_[99] + vX_[2964] * vX_[64] + vX_[2947] * vX_[77] +
+ vX_[8325] * vX_[50] + (vX_[8102] * vX_[51] + vX_[8325] * vX_[7]) * 8.81e-05 + vX_[8371] * vX_[67] +
+ vX_[2558] * vX_[56] + vX_[8163] * vX_[110] + vX_[2974] * vX_[58] + vX_[2517] * vX_[4074]) +
+ vX_[2988] * vX_[768] + vX_[3023] * vX_[1006] + vX_[3008] * vX_[955] + vX_[3025] * vX_[1014] +
+ vX_[2994] * vX_[785] + vX_[3010] * vX_[960] + vX_[2989] * vX_[800] + vX_[3014] * vX_[979] +
+ vX_[3007] * vX_[9] + vX_[3026] * vX_[1022] + vX_[2996] * vX_[793] + vX_[3151] * vX_[967] +
+ vX_[2999] * vX_[802] + vX_[1844] * vX_[769] + vX_[3002] * vX_[814] + vX_[3016] * vX_[820] +
+ vX_[3012] * vX_[973] + vX_[3027] * vX_[808] + vX_[8365] * vX_[867] + vX_[7699] * vX_[888] +
+ vX_[2389] * vX_[863] + vX_[2993] * vX_[905] + vX_[1939] * vX_[897] + vX_[9288] * vX_[901] +
+ vX_[8701] * vX_[859] + vX_[8679] * vX_[847] + vX_[8352] * vX_[855] + vX_[8373] * vX_[879] +
+ vX_[8115] * vX_[882] + vX_[1158] * vX_[942] + vX_[7724] * vX_[933] + vX_[3028] * vX_[808]) *
+ vX_[758];
+ vX_[3373] = vX_[7692] + vX_[3240] * vX_[76] + vX_[3373] * vX_[89] + vX_[3384] * vX_[3912];
+ vX_[3370] = vX_[7692] + vX_[7696] * vX_[4] + vX_[3370] * vX_[93] + vX_[3385] * vX_[3984];
+ vX_[7692] = vX_[3373] - vX_[3370];
+ vX_[2455] = vX_[3240] * vX_[4] + vX_[7696] * vX_[76] + vX_[3374] * vX_[93] + vX_[2455] * vX_[89] +
+ vX_[3384] * vX_[3984] + vX_[3385] * vX_[3912];
+ vX_[3374] = vX_[7692] * vX_[7] + vX_[2455] * vX_[52];
+ vX_[7696] = vX_[7692] * vX_[51] + vX_[2455] * vX_[7];
+ vX_[3373] = 0 - vX_[3373];
+ vX_[3240] = 0 - vX_[2455];
+ vX_[2951] =
+ vX_[3368] * vX_[76] + vX_[7721] * vX_[4] + vX_[2951] * vX_[89] + vX_[3384] * vX_[3966] + vX_[3381] * vX_[3912];
+ vX_[2983] = 0 - vX_[2951];
+ vX_[7680] =
+ vX_[3368] * vX_[4] + vX_[7721] * vX_[75] + vX_[7680] * vX_[89] + vX_[3384] * vX_[3968] + vX_[3390] * vX_[3912];
+ vX_[3368] = 0 - vX_[7680];
+ vX_[7721] = (vX_[3373] * vX_[83] + vX_[3240] * vX_[70] + vX_[2983] * vX_[79] + vX_[3368] * vX_[60]) * 1 / vX_[72];
+ vX_[3373] = vX_[3386] * vX_[1010] + vX_[3373] * vX_[84] + vX_[7721];
+ vX_[3370] = 0 - vX_[3370];
+ vX_[3353] =
+ vX_[6641] * vX_[76] + vX_[8614] * vX_[4] + vX_[3353] * vX_[93] + vX_[3385] * vX_[3966] + vX_[3381] * vX_[3984];
+ vX_[2985] = 0 - vX_[3353];
+ vX_[7462] =
+ vX_[6641] * vX_[4] + vX_[8614] * vX_[75] + vX_[7462] * vX_[93] + vX_[3385] * vX_[3968] + vX_[3390] * vX_[3984];
+ vX_[6641] = 0 - vX_[7462];
+ vX_[8614] = (vX_[3370] * vX_[70] + vX_[2985] * vX_[79] + vX_[6641] * vX_[60]) * 1 / vX_[72];
+ vX_[3370] = vX_[3387] * vX_[1010] + vX_[3240] * vX_[84] + vX_[3370] * vX_[73] + vX_[8614];
+ vX_[7204] = vX_[3371] + vX_[7676] * vX_[89] + vX_[7204] * vX_[93] * 2. + vX_[3380] * vX_[3968] - vX_[3370];
+ vX_[7510] = 0 - (vX_[7709] + vX_[7510] * vX_[93] + vX_[3378] * vX_[89] * 2. + vX_[3380] * vX_[3966]) + vX_[3373];
+ vX_[3378] = vX_[3378] + vX_[3381] * vX_[3966];
+ vX_[3376] = vX_[3376] + vX_[3390] * vX_[3968];
+ vX_[7709] = vX_[3378] - vX_[3376];
+ vX_[3380] = 0 - vX_[3378];
+ vX_[7676] = vX_[7676] + vX_[3381] * vX_[3968] + vX_[3390] * vX_[3966];
+ vX_[3371] = 0 - vX_[7676];
+ vX_[3240] = (vX_[3380] * vX_[79] + vX_[3371] * vX_[60]) * 1 / vX_[72];
+ vX_[3380] = vX_[3389] * vX_[1010] + vX_[2983] * vX_[84] + vX_[2985] * vX_[73] + vX_[3380] * vX_[116] + vX_[3240];
+ vX_[2985] = 0 - vX_[3376];
+ vX_[2983] = vX_[2985] * vX_[60] * 1 / vX_[72];
+ vX_[2985] = vX_[3391] * vX_[1010] + vX_[3368] * vX_[84] + vX_[6641] * vX_[73] + vX_[3371] * vX_[116] +
+ vX_[2985] * vX_[112] + vX_[2983];
+ vX_[3371] = 0 - vX_[2985];
+ vX_[6641] = vX_[7709] * vX_[7] + vX_[7676] * vX_[52];
+ vX_[3368] = vX_[7709] * vX_[51] + vX_[7676] * vX_[7];
+ vX_[8128] = vX_[6641] * vX_[51] + vX_[3368] * vX_[7];
+ vX_[8127] = vX_[3376] + vX_[6641] * vX_[7];
+ vX_[2972] = vX_[3376] + vX_[3368] * vX_[51];
+ vX_[2983] = vX_[3378] + vX_[3376] + 0 - vX_[3386] * vX_[3895] - vX_[3387] * vX_[3907] - vX_[3388] * vX_[3985] +
+ vX_[3388] * vX_[1010] - vX_[3389] * vX_[4057] - vX_[3391] * vX_[815] - vX_[7721] * vX_[84] -
+ vX_[8614] * vX_[73] - vX_[3240] * vX_[116] - vX_[2983] * vX_[112] - vX_[8127] - vX_[2972];
+ vX_[3240] = 0 - vX_[2983];
+ vX_[3376] = vX_[3373] * vX_[7] + vX_[3370] * vX_[52];
+ vX_[3378] = vX_[3376] + vX_[3240] * vX_[57];
+ vX_[8614] = vX_[3373] * vX_[51] + vX_[3370] * vX_[7];
+ vX_[7721] = vX_[8614] + vX_[2983] * vX_[54];
+ vX_[3391] = 0 - vX_[2985];
+ vX_[3389] = 0 - vX_[2972];
+ jac[634] =
+ 0 -
+ (vX_[3384] * vX_[1985] + vX_[3385] * vX_[805] + vX_[3381] * vX_[984] + vX_[3390] * vX_[1987] +
+ vX_[7692] * vX_[99] + vX_[2455] * vX_[98] + vX_[3374] * -0.466187537174287 +
+ vX_[7696] * -0.00185880198235362 + vX_[3373] * vX_[64] + vX_[3370] * vX_[68] + vX_[3353] * vX_[78] +
+ vX_[7680] * vX_[50] + vX_[2951] * vX_[77] + vX_[7462] * vX_[53] +
+ (vX_[3353] * vX_[7] + vX_[2951] * vX_[51]) * 8.81e-05 +
+ (vX_[7680] * vX_[7] + vX_[7462] * vX_[52]) * -8.81e-05 + vX_[7204] * vX_[67] + vX_[7510] * vX_[63] +
+ vX_[7709] * vX_[110] + vX_[3380] * vX_[56] + vX_[2985] * vX_[59] + vX_[7676] * vX_[109] +
+ vX_[3371] * vX_[58] + vX_[3380] * vX_[55] + vX_[6641] * vX_[106] + vX_[3368] * vX_[108] +
+ (vX_[8128] * vX_[66] + vX_[3240] * vX_[61] + vX_[8127] * vX_[62] + (0 - vX_[3378]) * 0.414812462825713 +
+ (0 - (vX_[7204] * vX_[51] + vX_[7510] * vX_[7]) + vX_[3376] + vX_[8127] * vX_[57]) * 0.881 +
+ (0 - vX_[7721]) * -0.00185880198235362 +
+ (0 - (vX_[3371] * vX_[7] + vX_[3380] * vX_[52] + (vX_[3380] * vX_[51] + vX_[2985] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[8128] * -0.0004405 + vX_[8127] * -0.2209548) *
+ -0.35 +
+ vX_[8320] * vX_[4066] + vX_[8104] * vX_[4091] + vX_[2944] * vX_[4072] + vX_[7242] * vX_[4074] +
+ (vX_[3392] * vX_[1985] + vX_[8320] * vX_[4082]) * 0.35 + vX_[3428] * vX_[1006] + vX_[3396] * vX_[774] +
+ vX_[3431] * vX_[1017] + vX_[3400] * vX_[788] + vX_[7492] * vX_[962] + vX_[3404] * vX_[802] +
+ vX_[7271] * vX_[769] + vX_[3407] * vX_[75] + vX_[3432] * vX_[1025] + vX_[3402] * vX_[796] +
+ vX_[3417] * vX_[966] + vX_[3382] * vX_[800] + vX_[3421] * vX_[981] + vX_[6624] * vX_[9] +
+ vX_[7513] * vX_[822] + vX_[3418] * vX_[971] + vX_[7125] * vX_[809] + vX_[1557] * vX_[869] +
+ vX_[316] * vX_[886] + vX_[7708] * vX_[864] + vX_[3399] * vX_[907] + vX_[2526] * vX_[895] +
+ vX_[352] * vX_[900] + vX_[314] * vX_[861] + vX_[331] * vX_[849] + vX_[7491] * vX_[853] +
+ vX_[7255] * vX_[880] + vX_[7694] * vX_[883] + vX_[3655] * vX_[944] + vX_[299] * vX_[931] +
+ vX_[2942] * vX_[938]) *
+ vX_[762] +
+ (vX_[3384] * vX_[805] + vX_[3381] * vX_[1987] + vX_[7692] * vX_[98] + vX_[3374] * -0.00185880198235362 +
+ vX_[7696] * -7.4114911576828e-06 + vX_[3373] * vX_[68] + vX_[7680] * vX_[53] + vX_[2951] * vX_[78] +
+ (vX_[3353] * vX_[52] + vX_[2951] * vX_[7]) * -8.81e-05 + vX_[7204] * vX_[63] + vX_[7709] * vX_[109] +
+ vX_[3380] * vX_[59] + vX_[3391] * vX_[55] + vX_[6641] * vX_[108] + vX_[3368] * vX_[107] +
+ vX_[8104] * vX_[4066] + vX_[7242] * vX_[4072] - (vX_[3385] * vX_[1985] + vX_[8320] * vX_[4091]) +
+ (vX_[3392] * vX_[805] + vX_[2983] * vX_[65] + vX_[3389] * vX_[66] + vX_[3378] * -0.00185880198235362 +
+ vX_[7721] * 0.880992588508842 +
+ (0 - (vX_[7204] * vX_[7] + vX_[7510] * vX_[52] + vX_[8614] + vX_[8128] * vX_[57] +
+ vX_[3389] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[3391] * vX_[51] + vX_[3380] * vX_[7]) + (vX_[3380] * vX_[7] + vX_[2985] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[8128]) * -0.1104774 + (0 - vX_[2972]) * -0.000881 + vX_[8104] * vX_[4082]) *
+ 0.35 -
+ (vX_[3390] * vX_[984] + vX_[2455] * vX_[99] + vX_[3370] * vX_[64] + vX_[3353] * vX_[77] +
+ vX_[7462] * vX_[50] + (vX_[7680] * vX_[51] + vX_[7462] * vX_[7]) * 8.81e-05 + vX_[7510] * vX_[67] +
+ vX_[2985] * vX_[56] + vX_[7676] * vX_[110] + vX_[3380] * vX_[58] + vX_[2944] * vX_[4074]) +
+ vX_[3394] * vX_[768] + vX_[3429] * vX_[1006] + vX_[3414] * vX_[955] + vX_[3431] * vX_[1014] +
+ vX_[3400] * vX_[785] + vX_[3416] * vX_[960] + vX_[3395] * vX_[800] + vX_[3420] * vX_[979] +
+ vX_[3413] * vX_[9] + vX_[3432] * vX_[1022] + vX_[3402] * vX_[793] + vX_[8108] * vX_[967] +
+ vX_[3405] * vX_[802] + vX_[7298] * vX_[769] + vX_[3408] * vX_[814] + vX_[3422] * vX_[820] +
+ vX_[3418] * vX_[973] + vX_[3433] * vX_[808] + vX_[7114] * vX_[867] + vX_[316] * vX_[888] +
+ vX_[7512] * vX_[863] + vX_[3399] * vX_[905] + vX_[2526] * vX_[897] + vX_[352] * vX_[901] +
+ vX_[309] * vX_[859] + vX_[7283] * vX_[847] + vX_[7491] * vX_[855] + vX_[2952] * vX_[879] +
+ vX_[7689] * vX_[882] + vX_[8122] * vX_[942] + vX_[299] * vX_[933] + vX_[3434] * vX_[808]) *
+ vX_[758];
+ vX_[3769] = vX_[7262] + vX_[3646] * vX_[76] + vX_[3769] * vX_[89] + vX_[3780] * vX_[3912];
+ vX_[3766] = vX_[7262] + vX_[7294] * vX_[4] + vX_[3766] * vX_[93] + vX_[3781] * vX_[3984];
+ vX_[7262] = vX_[3769] - vX_[3766];
+ vX_[7250] = vX_[3646] * vX_[4] + vX_[7294] * vX_[76] + vX_[3770] * vX_[93] + vX_[7250] * vX_[89] +
+ vX_[3780] * vX_[3984] + vX_[3781] * vX_[3912];
+ vX_[3770] = vX_[7262] * vX_[7] + vX_[7250] * vX_[52];
+ vX_[7294] = vX_[7262] * vX_[51] + vX_[7250] * vX_[7];
+ vX_[3769] = 0 - vX_[3769];
+ vX_[3646] = 0 - vX_[7250];
+ vX_[3357] =
+ vX_[3764] * vX_[76] + vX_[1474] * vX_[4] + vX_[3357] * vX_[89] + vX_[3780] * vX_[3966] + vX_[3777] * vX_[3912];
+ vX_[3389] = 0 - vX_[3357];
+ vX_[1550] =
+ vX_[3764] * vX_[4] + vX_[1474] * vX_[75] + vX_[1550] * vX_[89] + vX_[3780] * vX_[3968] + vX_[3786] * vX_[3912];
+ vX_[3764] = 0 - vX_[1550];
+ vX_[1474] = (vX_[3769] * vX_[83] + vX_[3646] * vX_[70] + vX_[3389] * vX_[79] + vX_[3764] * vX_[60]) * 1 / vX_[72];
+ vX_[3769] = vX_[3782] * vX_[1010] + vX_[3769] * vX_[84] + vX_[1474];
+ vX_[3766] = 0 - vX_[3766];
+ vX_[3749] =
+ vX_[5758] * vX_[76] + vX_[7251] * vX_[4] + vX_[3749] * vX_[93] + vX_[3781] * vX_[3966] + vX_[3777] * vX_[3984];
+ vX_[3391] = 0 - vX_[3749];
+ vX_[6607] =
+ vX_[5758] * vX_[4] + vX_[7251] * vX_[75] + vX_[6607] * vX_[93] + vX_[3781] * vX_[3968] + vX_[3786] * vX_[3984];
+ vX_[5758] = 0 - vX_[6607];
+ vX_[7251] = (vX_[3766] * vX_[70] + vX_[3391] * vX_[79] + vX_[5758] * vX_[60]) * 1 / vX_[72];
+ vX_[3766] = vX_[3783] * vX_[1010] + vX_[3646] * vX_[84] + vX_[3766] * vX_[73] + vX_[7251];
+ vX_[4121] = vX_[3767] + vX_[7252] * vX_[89] + vX_[4121] * vX_[93] * 2. + vX_[3776] * vX_[3968] - vX_[3766];
+ vX_[6645] = 0 - (vX_[7281] + vX_[6645] * vX_[93] + vX_[3774] * vX_[89] * 2. + vX_[3776] * vX_[3966]) + vX_[3769];
+ vX_[3774] = vX_[3774] + vX_[3777] * vX_[3966];
+ vX_[3772] = vX_[3772] + vX_[3786] * vX_[3968];
+ vX_[7281] = vX_[3774] - vX_[3772];
+ vX_[3776] = 0 - vX_[3774];
+ vX_[7252] = vX_[7252] + vX_[3777] * vX_[3968] + vX_[3786] * vX_[3966];
+ vX_[3767] = 0 - vX_[7252];
+ vX_[3646] = (vX_[3776] * vX_[79] + vX_[3767] * vX_[60]) * 1 / vX_[72];
+ vX_[3776] = vX_[3785] * vX_[1010] + vX_[3389] * vX_[84] + vX_[3391] * vX_[73] + vX_[3776] * vX_[116] + vX_[3646];
+ vX_[3391] = 0 - vX_[3772];
+ vX_[3389] = vX_[3391] * vX_[60] * 1 / vX_[72];
+ vX_[3391] = vX_[3787] * vX_[1010] + vX_[3764] * vX_[84] + vX_[5758] * vX_[73] + vX_[3767] * vX_[116] +
+ vX_[3391] * vX_[112] + vX_[3389];
+ vX_[3767] = 0 - vX_[3391];
+ vX_[5758] = vX_[7281] * vX_[7] + vX_[7252] * vX_[52];
+ vX_[3764] = vX_[7281] * vX_[51] + vX_[7252] * vX_[7];
+ vX_[7721] = vX_[5758] * vX_[51] + vX_[3764] * vX_[7];
+ vX_[8614] = vX_[3772] + vX_[5758] * vX_[7];
+ vX_[3378] = vX_[3772] + vX_[3764] * vX_[51];
+ vX_[3389] = vX_[3774] + vX_[3772] + 0 - vX_[3782] * vX_[3895] - vX_[3783] * vX_[3907] - vX_[3784] * vX_[3985] +
+ vX_[3784] * vX_[1010] - vX_[3785] * vX_[4057] - vX_[3787] * vX_[815] - vX_[1474] * vX_[84] -
+ vX_[7251] * vX_[73] - vX_[3646] * vX_[116] - vX_[3389] * vX_[112] - vX_[8614] - vX_[3378];
+ vX_[3646] = 0 - vX_[3389];
+ vX_[3772] = vX_[3769] * vX_[7] + vX_[3766] * vX_[52];
+ vX_[3774] = vX_[3772] + vX_[3646] * vX_[57];
+ vX_[7251] = vX_[3769] * vX_[51] + vX_[3766] * vX_[7];
+ vX_[1474] = vX_[7251] + vX_[3389] * vX_[54];
+ vX_[3787] = 0 - vX_[3391];
+ vX_[3785] = 0 - vX_[3378];
+ jac[635] =
+ 0 -
+ (vX_[3780] * vX_[1985] + vX_[3781] * vX_[805] + vX_[3777] * vX_[984] + vX_[3786] * vX_[1987] +
+ vX_[7262] * vX_[99] + vX_[7250] * vX_[98] + vX_[3770] * -0.466187537174287 +
+ vX_[7294] * -0.00185880198235362 + vX_[3769] * vX_[64] + vX_[3766] * vX_[68] + vX_[3749] * vX_[78] +
+ vX_[1550] * vX_[50] + vX_[3357] * vX_[77] + vX_[6607] * vX_[53] +
+ (vX_[3749] * vX_[7] + vX_[3357] * vX_[51]) * 8.81e-05 +
+ (vX_[1550] * vX_[7] + vX_[6607] * vX_[52]) * -8.81e-05 + vX_[4121] * vX_[67] + vX_[6645] * vX_[63] +
+ vX_[7281] * vX_[110] + vX_[3776] * vX_[56] + vX_[3391] * vX_[59] + vX_[7252] * vX_[109] +
+ vX_[3767] * vX_[58] + vX_[3776] * vX_[55] + vX_[5758] * vX_[106] + vX_[3764] * vX_[108] +
+ (vX_[7721] * vX_[66] + vX_[3646] * vX_[61] + vX_[8614] * vX_[62] + (0 - vX_[3774]) * 0.414812462825713 +
+ (0 - (vX_[4121] * vX_[51] + vX_[6645] * vX_[7]) + vX_[3772] + vX_[8614] * vX_[57]) * 0.881 +
+ (0 - vX_[1474]) * -0.00185880198235362 +
+ (0 - (vX_[3767] * vX_[7] + vX_[3776] * vX_[52] + (vX_[3776] * vX_[51] + vX_[3391] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[7721] * -0.0004405 + vX_[8614] * -0.2209548) *
+ -0.35 +
+ vX_[1467] * vX_[4066] + vX_[9138] * vX_[4091] + vX_[3350] * vX_[4072] + vX_[6815] * vX_[4074] +
+ (vX_[3788] * vX_[1985] + vX_[1467] * vX_[4082]) * 0.35 + vX_[3824] * vX_[1006] + vX_[3792] * vX_[774] +
+ vX_[3827] * vX_[1017] + vX_[3796] * vX_[788] + vX_[6633] * vX_[962] + vX_[3800] * vX_[802] +
+ vX_[6844] * vX_[769] + vX_[3803] * vX_[75] + vX_[3828] * vX_[1025] + vX_[3798] * vX_[796] +
+ vX_[3813] * vX_[966] + vX_[3778] * vX_[800] + vX_[3817] * vX_[981] + vX_[5499] * vX_[9] +
+ vX_[6654] * vX_[822] + vX_[3814] * vX_[971] + vX_[201] * vX_[809] + vX_[1632] * vX_[869] +
+ vX_[1609] * vX_[886] + vX_[7293] * vX_[864] + vX_[3795] * vX_[907] + vX_[7531] * vX_[895] +
+ vX_[1000] * vX_[900] + vX_[1511] * vX_[861] + vX_[4503] * vX_[849] + vX_[6430] * vX_[853] +
+ vX_[6828] * vX_[880] + vX_[7265] * vX_[883] + vX_[4051] * vX_[944] + vX_[4319] * vX_[931] +
+ vX_[3348] * vX_[938]) *
+ vX_[762] +
+ (vX_[3780] * vX_[805] + vX_[3777] * vX_[1987] + vX_[7262] * vX_[98] + vX_[3770] * -0.00185880198235362 +
+ vX_[7294] * -7.4114911576828e-06 + vX_[3769] * vX_[68] + vX_[1550] * vX_[53] + vX_[3357] * vX_[78] +
+ (vX_[3749] * vX_[52] + vX_[3357] * vX_[7]) * -8.81e-05 + vX_[4121] * vX_[63] + vX_[7281] * vX_[109] +
+ vX_[3776] * vX_[59] + vX_[3787] * vX_[55] + vX_[5758] * vX_[108] + vX_[3764] * vX_[107] +
+ vX_[9138] * vX_[4066] + vX_[6815] * vX_[4072] - (vX_[3781] * vX_[1985] + vX_[1467] * vX_[4091]) +
+ (vX_[3788] * vX_[805] + vX_[3389] * vX_[65] + vX_[3785] * vX_[66] + vX_[3774] * -0.00185880198235362 +
+ vX_[1474] * 0.880992588508842 +
+ (0 - (vX_[4121] * vX_[7] + vX_[6645] * vX_[52] + vX_[7251] + vX_[7721] * vX_[57] +
+ vX_[3785] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[3787] * vX_[51] + vX_[3776] * vX_[7]) + (vX_[3776] * vX_[7] + vX_[3391] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[7721]) * -0.1104774 + (0 - vX_[3378]) * -0.000881 + vX_[9138] * vX_[4082]) *
+ 0.35 -
+ (vX_[3786] * vX_[984] + vX_[7250] * vX_[99] + vX_[3766] * vX_[64] + vX_[3749] * vX_[77] +
+ vX_[6607] * vX_[50] + (vX_[1550] * vX_[51] + vX_[6607] * vX_[7]) * 8.81e-05 + vX_[6645] * vX_[67] +
+ vX_[3391] * vX_[56] + vX_[7252] * vX_[110] + vX_[3776] * vX_[58] + vX_[3350] * vX_[4074]) +
+ vX_[3790] * vX_[768] + vX_[3825] * vX_[1006] + vX_[3810] * vX_[955] + vX_[3827] * vX_[1014] +
+ vX_[3796] * vX_[785] + vX_[3812] * vX_[960] + vX_[3791] * vX_[800] + vX_[3816] * vX_[979] +
+ vX_[3809] * vX_[9] + vX_[3828] * vX_[1022] + vX_[3798] * vX_[793] + vX_[7683] * vX_[967] +
+ vX_[3801] * vX_[802] + vX_[6871] * vX_[769] + vX_[3804] * vX_[814] + vX_[3818] * vX_[820] +
+ vX_[3814] * vX_[973] + vX_[3829] * vX_[808] + vX_[1364] * vX_[867] + vX_[1609] * vX_[888] +
+ vX_[6503] * vX_[863] + vX_[3795] * vX_[905] + vX_[7531] * vX_[897] + vX_[1000] * vX_[901] +
+ vX_[1149] * vX_[859] + vX_[6856] * vX_[847] + vX_[6430] * vX_[855] + vX_[3358] * vX_[879] +
+ vX_[8999] * vX_[882] + vX_[7451] * vX_[942] + vX_[4319] * vX_[933] + vX_[3830] * vX_[808]) *
+ vX_[758];
+ vX_[4184] = vX_[6835] + vX_[5795] * vX_[76] + vX_[4184] * vX_[89] + vX_[4195] * vX_[3912];
+ vX_[4181] = vX_[6835] + vX_[6867] * vX_[4] + vX_[4181] * vX_[93] + vX_[4196] * vX_[3984];
+ vX_[6835] = vX_[4184] - vX_[4181];
+ vX_[6823] = vX_[5795] * vX_[4] + vX_[6867] * vX_[76] + vX_[4185] * vX_[93] + vX_[6823] * vX_[89] +
+ vX_[4195] * vX_[3984] + vX_[4196] * vX_[3912];
+ vX_[4185] = vX_[6835] * vX_[7] + vX_[6823] * vX_[52];
+ vX_[6867] = vX_[6835] * vX_[51] + vX_[6823] * vX_[7];
+ vX_[4184] = 0 - vX_[4184];
+ vX_[5795] = 0 - vX_[6823];
+ vX_[6683] =
+ vX_[4179] * vX_[76] + vX_[1654] * vX_[4] + vX_[6683] * vX_[89] + vX_[4195] * vX_[3966] + vX_[4192] * vX_[3912];
+ vX_[3785] = 0 - vX_[6683];
+ vX_[1366] =
+ vX_[4179] * vX_[4] + vX_[1654] * vX_[75] + vX_[1366] * vX_[89] + vX_[4195] * vX_[3968] + vX_[4201] * vX_[3912];
+ vX_[4179] = 0 - vX_[1366];
+ vX_[1654] = (vX_[4184] * vX_[83] + vX_[5795] * vX_[70] + vX_[3785] * vX_[79] + vX_[4179] * vX_[60]) * 1 / vX_[72];
+ vX_[4184] = vX_[4197] * vX_[1010] + vX_[4184] * vX_[84] + vX_[1654];
+ vX_[4181] = 0 - vX_[4181];
+ vX_[4167] =
+ vX_[4914] * vX_[76] + vX_[6824] * vX_[4] + vX_[4167] * vX_[93] + vX_[4196] * vX_[3966] + vX_[4192] * vX_[3984];
+ vX_[3787] = 0 - vX_[4167];
+ vX_[5659] =
+ vX_[4914] * vX_[4] + vX_[6824] * vX_[75] + vX_[5659] * vX_[93] + vX_[4196] * vX_[3968] + vX_[4201] * vX_[3984];
+ vX_[4914] = 0 - vX_[5659];
+ vX_[6824] = (vX_[4181] * vX_[70] + vX_[3787] * vX_[79] + vX_[4914] * vX_[60]) * 1 / vX_[72];
+ vX_[4181] = vX_[4198] * vX_[1010] + vX_[5795] * vX_[84] + vX_[4181] * vX_[73] + vX_[6824];
+ vX_[6017] = vX_[4182] + vX_[6825] * vX_[89] + vX_[6017] * vX_[93] * 2. + vX_[4191] * vX_[3968] - vX_[4181];
+ vX_[5572] = 0 - (vX_[6854] + vX_[5572] * vX_[93] + vX_[4189] * vX_[89] * 2. + vX_[4191] * vX_[3966]) + vX_[4184];
+ vX_[4189] = vX_[4189] + vX_[4192] * vX_[3966];
+ vX_[4187] = vX_[4187] + vX_[4201] * vX_[3968];
+ vX_[6854] = vX_[4189] - vX_[4187];
+ vX_[4191] = 0 - vX_[4189];
+ vX_[6825] = vX_[6825] + vX_[4192] * vX_[3968] + vX_[4201] * vX_[3966];
+ vX_[4182] = 0 - vX_[6825];
+ vX_[5795] = (vX_[4191] * vX_[79] + vX_[4182] * vX_[60]) * 1 / vX_[72];
+ vX_[4191] = vX_[4200] * vX_[1010] + vX_[3785] * vX_[84] + vX_[3787] * vX_[73] + vX_[4191] * vX_[116] + vX_[5795];
+ vX_[3787] = 0 - vX_[4187];
+ vX_[3785] = vX_[3787] * vX_[60] * 1 / vX_[72];
+ vX_[3787] = vX_[4202] * vX_[1010] + vX_[4179] * vX_[84] + vX_[4914] * vX_[73] + vX_[4182] * vX_[116] +
+ vX_[3787] * vX_[112] + vX_[3785];
+ vX_[4182] = 0 - vX_[3787];
+ vX_[4914] = vX_[6854] * vX_[7] + vX_[6825] * vX_[52];
+ vX_[4179] = vX_[6854] * vX_[51] + vX_[6825] * vX_[7];
+ vX_[1474] = vX_[4914] * vX_[51] + vX_[4179] * vX_[7];
+ vX_[7251] = vX_[4187] + vX_[4914] * vX_[7];
+ vX_[3774] = vX_[4187] + vX_[4179] * vX_[51];
+ vX_[3785] = vX_[4189] + vX_[4187] + 0 - vX_[4197] * vX_[3895] - vX_[4198] * vX_[3907] - vX_[4199] * vX_[3985] +
+ vX_[4199] * vX_[1010] - vX_[4200] * vX_[4057] - vX_[4202] * vX_[815] - vX_[1654] * vX_[84] -
+ vX_[6824] * vX_[73] - vX_[5795] * vX_[116] - vX_[3785] * vX_[112] - vX_[7251] - vX_[3774];
+ vX_[5795] = 0 - vX_[3785];
+ vX_[4187] = vX_[4184] * vX_[7] + vX_[4181] * vX_[52];
+ vX_[4189] = vX_[4187] + vX_[5795] * vX_[57];
+ vX_[6824] = vX_[4184] * vX_[51] + vX_[4181] * vX_[7];
+ vX_[1654] = vX_[6824] + vX_[3785] * vX_[54];
+ vX_[4202] = 0 - vX_[3787];
+ vX_[4200] = 0 - vX_[3774];
+ jac[636] =
+ 0 -
+ (vX_[4195] * vX_[1985] + vX_[4196] * vX_[805] + vX_[4192] * vX_[984] + vX_[4201] * vX_[1987] +
+ vX_[6835] * vX_[99] + vX_[6823] * vX_[98] + vX_[4185] * -0.466187537174287 +
+ vX_[6867] * -0.00185880198235362 + vX_[4184] * vX_[64] + vX_[4181] * vX_[68] + vX_[4167] * vX_[78] +
+ vX_[1366] * vX_[50] + vX_[6683] * vX_[77] + vX_[5659] * vX_[53] +
+ (vX_[4167] * vX_[7] + vX_[6683] * vX_[51]) * 8.81e-05 +
+ (vX_[1366] * vX_[7] + vX_[5659] * vX_[52]) * -8.81e-05 + vX_[6017] * vX_[67] + vX_[5572] * vX_[63] +
+ vX_[6854] * vX_[110] + vX_[4191] * vX_[56] + vX_[3787] * vX_[59] + vX_[6825] * vX_[109] +
+ vX_[4182] * vX_[58] + vX_[4191] * vX_[55] + vX_[4914] * vX_[106] + vX_[4179] * vX_[108] +
+ (vX_[1474] * vX_[66] + vX_[5795] * vX_[61] + vX_[7251] * vX_[62] + (0 - vX_[4189]) * 0.414812462825713 +
+ (0 - (vX_[6017] * vX_[51] + vX_[5572] * vX_[7]) + vX_[4187] + vX_[7251] * vX_[57]) * 0.881 +
+ (0 - vX_[1654]) * -0.00185880198235362 +
+ (0 - (vX_[4182] * vX_[7] + vX_[4191] * vX_[52] + (vX_[4191] * vX_[51] + vX_[3787] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[1474] * -0.0004405 + vX_[7251] * -0.2209548) *
+ -0.35 +
+ vX_[7287] * vX_[4066] + vX_[7269] * vX_[4091] + vX_[3746] * vX_[4072] + vX_[5973] * vX_[4074] +
+ (vX_[4203] * vX_[1985] + vX_[7287] * vX_[4082]) * 0.35 + vX_[4239] * vX_[1006] + vX_[4207] * vX_[774] +
+ vX_[4242] * vX_[1017] + vX_[4211] * vX_[788] + vX_[5753] * vX_[962] + vX_[4215] * vX_[802] +
+ vX_[2303] * vX_[769] + vX_[4218] * vX_[75] + vX_[4243] * vX_[1025] + vX_[4213] * vX_[796] +
+ vX_[4228] * vX_[966] + vX_[4193] * vX_[800] + vX_[4232] * vX_[981] + vX_[4154] * vX_[9] +
+ vX_[5774] * vX_[822] + vX_[4229] * vX_[971] + vX_[6411] * vX_[809] + vX_[9104] * vX_[869] +
+ vX_[6437] * vX_[886] + vX_[6866] * vX_[864] + vX_[4210] * vX_[907] + vX_[6666] * vX_[895] +
+ vX_[4138] * vX_[900] + vX_[6439] * vX_[861] + vX_[9313] * vX_[849] + vX_[5763] * vX_[853] +
+ vX_[2730] * vX_[880] + vX_[6838] * vX_[883] + vX_[4466] * vX_[944] + vX_[9223] * vX_[931] +
+ vX_[4156] * vX_[938]) *
+ vX_[762] +
+ (vX_[4195] * vX_[805] + vX_[4192] * vX_[1987] + vX_[6835] * vX_[98] + vX_[4185] * -0.00185880198235362 +
+ vX_[6867] * -7.4114911576828e-06 + vX_[4184] * vX_[68] + vX_[1366] * vX_[53] + vX_[6683] * vX_[78] +
+ (vX_[4167] * vX_[52] + vX_[6683] * vX_[7]) * -8.81e-05 + vX_[6017] * vX_[63] + vX_[6854] * vX_[109] +
+ vX_[4191] * vX_[59] + vX_[4202] * vX_[55] + vX_[4914] * vX_[108] + vX_[4179] * vX_[107] +
+ vX_[7269] * vX_[4066] + vX_[5973] * vX_[4072] - (vX_[4196] * vX_[1985] + vX_[7287] * vX_[4091]) +
+ (vX_[4203] * vX_[805] + vX_[3785] * vX_[65] + vX_[4200] * vX_[66] + vX_[4189] * -0.00185880198235362 +
+ vX_[1654] * 0.880992588508842 +
+ (0 - (vX_[6017] * vX_[7] + vX_[5572] * vX_[52] + vX_[6824] + vX_[1474] * vX_[57] +
+ vX_[4200] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[4202] * vX_[51] + vX_[4191] * vX_[7]) + (vX_[4191] * vX_[7] + vX_[3787] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[1474]) * -0.1104774 + (0 - vX_[3774]) * -0.000881 + vX_[7269] * vX_[4082]) *
+ 0.35 -
+ (vX_[4201] * vX_[984] + vX_[6823] * vX_[99] + vX_[4181] * vX_[64] + vX_[4167] * vX_[77] +
+ vX_[5659] * vX_[50] + (vX_[1366] * vX_[51] + vX_[5659] * vX_[7]) * 8.81e-05 + vX_[5572] * vX_[67] +
+ vX_[3787] * vX_[56] + vX_[6825] * vX_[110] + vX_[4191] * vX_[58] + vX_[3746] * vX_[4074]) +
+ vX_[4205] * vX_[768] + vX_[4240] * vX_[1006] + vX_[4225] * vX_[955] + vX_[4242] * vX_[1014] +
+ vX_[4211] * vX_[785] + vX_[4227] * vX_[960] + vX_[4206] * vX_[800] + vX_[4231] * vX_[979] +
+ vX_[4224] * vX_[9] + vX_[4243] * vX_[1022] + vX_[4213] * vX_[793] + vX_[7246] * vX_[967] +
+ vX_[4216] * vX_[802] + vX_[453] * vX_[769] + vX_[4219] * vX_[814] + vX_[4233] * vX_[820] +
+ vX_[4229] * vX_[973] + vX_[4244] * vX_[808] + vX_[9256] * vX_[867] + vX_[6437] * vX_[888] +
+ vX_[5800] * vX_[863] + vX_[4210] * vX_[905] + vX_[6666] * vX_[897] + vX_[4138] * vX_[901] +
+ vX_[6451] * vX_[859] + vX_[6413] * vX_[847] + vX_[5763] * vX_[855] + vX_[5784] * vX_[879] +
+ vX_[416] * vX_[882] + vX_[6589] * vX_[942] + vX_[9223] * vX_[933] + vX_[4245] * vX_[808]) *
+ vX_[758];
+ vX_[4613] = vX_[6400] + vX_[4170] * vX_[76] + vX_[4613] * vX_[89] + vX_[4624] * vX_[3912];
+ vX_[4610] = vX_[6400] + vX_[6404] * vX_[4] + vX_[4610] * vX_[93] + vX_[4625] * vX_[3984];
+ vX_[6400] = vX_[4613] - vX_[4610];
+ vX_[9117] = vX_[4170] * vX_[4] + vX_[6404] * vX_[76] + vX_[4614] * vX_[93] + vX_[9117] * vX_[89] +
+ vX_[4624] * vX_[3984] + vX_[4625] * vX_[3912];
+ vX_[4614] = vX_[6400] * vX_[7] + vX_[9117] * vX_[52];
+ vX_[6404] = vX_[6400] * vX_[51] + vX_[9117] * vX_[7];
+ vX_[4613] = 0 - vX_[4613];
+ vX_[4170] = 0 - vX_[9117];
+ vX_[4163] =
+ vX_[4608] * vX_[76] + vX_[6407] * vX_[4] + vX_[4163] * vX_[89] + vX_[4624] * vX_[3966] + vX_[4621] * vX_[3912];
+ vX_[4200] = 0 - vX_[4163];
+ vX_[5967] =
+ vX_[4608] * vX_[4] + vX_[6407] * vX_[75] + vX_[5967] * vX_[89] + vX_[4624] * vX_[3968] + vX_[4630] * vX_[3912];
+ vX_[4608] = 0 - vX_[5967];
+ vX_[6407] = (vX_[4613] * vX_[83] + vX_[4170] * vX_[70] + vX_[4200] * vX_[79] + vX_[4608] * vX_[60]) * 1 / vX_[72];
+ vX_[4613] = vX_[4626] * vX_[1010] + vX_[4613] * vX_[84] + vX_[6407];
+ vX_[4610] = 0 - vX_[4610];
+ vX_[4596] =
+ vX_[2837] * vX_[76] + vX_[2735] * vX_[4] + vX_[4596] * vX_[93] + vX_[4625] * vX_[3966] + vX_[4621] * vX_[3984];
+ vX_[4202] = 0 - vX_[4596];
+ vX_[4751] =
+ vX_[2837] * vX_[4] + vX_[2735] * vX_[75] + vX_[4751] * vX_[93] + vX_[4625] * vX_[3968] + vX_[4630] * vX_[3984];
+ vX_[2837] = 0 - vX_[4751];
+ vX_[2735] = (vX_[4610] * vX_[70] + vX_[4202] * vX_[79] + vX_[2837] * vX_[60]) * 1 / vX_[72];
+ vX_[4610] = vX_[4627] * vX_[1010] + vX_[4170] * vX_[84] + vX_[4610] * vX_[73] + vX_[2735];
+ vX_[6004] = vX_[4611] + vX_[5964] * vX_[89] + vX_[6004] * vX_[93] * 2. + vX_[4620] * vX_[3968] - vX_[4610];
+ vX_[4908] = 0 - (vX_[6405] + vX_[4908] * vX_[93] + vX_[4618] * vX_[89] * 2. + vX_[4620] * vX_[3966]) + vX_[4613];
+ vX_[4618] = vX_[4618] + vX_[4621] * vX_[3966];
+ vX_[4616] = vX_[4616] + vX_[4630] * vX_[3968];
+ vX_[6405] = vX_[4618] - vX_[4616];
+ vX_[4620] = 0 - vX_[4618];
+ vX_[5964] = vX_[5964] + vX_[4621] * vX_[3968] + vX_[4630] * vX_[3966];
+ vX_[4611] = 0 - vX_[5964];
+ vX_[4170] = (vX_[4620] * vX_[79] + vX_[4611] * vX_[60]) * 1 / vX_[72];
+ vX_[4620] = vX_[4629] * vX_[1010] + vX_[4200] * vX_[84] + vX_[4202] * vX_[73] + vX_[4620] * vX_[116] + vX_[4170];
+ vX_[4202] = 0 - vX_[4616];
+ vX_[4200] = vX_[4202] * vX_[60] * 1 / vX_[72];
+ vX_[4202] = vX_[4631] * vX_[1010] + vX_[4608] * vX_[84] + vX_[2837] * vX_[73] + vX_[4611] * vX_[116] +
+ vX_[4202] * vX_[112] + vX_[4200];
+ vX_[4611] = 0 - vX_[4202];
+ vX_[2837] = vX_[6405] * vX_[7] + vX_[5964] * vX_[52];
+ vX_[4608] = vX_[6405] * vX_[51] + vX_[5964] * vX_[7];
+ vX_[1654] = vX_[2837] * vX_[51] + vX_[4608] * vX_[7];
+ vX_[6824] = vX_[4616] + vX_[2837] * vX_[7];
+ vX_[4189] = vX_[4616] + vX_[4608] * vX_[51];
+ vX_[4200] = vX_[4618] + vX_[4616] + 0 - vX_[4626] * vX_[3895] - vX_[4627] * vX_[3907] - vX_[4628] * vX_[3985] +
+ vX_[4628] * vX_[1010] - vX_[4629] * vX_[4057] - vX_[4631] * vX_[815] - vX_[6407] * vX_[84] -
+ vX_[2735] * vX_[73] - vX_[4170] * vX_[116] - vX_[4200] * vX_[112] - vX_[6824] - vX_[4189];
+ vX_[4170] = 0 - vX_[4200];
+ vX_[4616] = vX_[4613] * vX_[7] + vX_[4610] * vX_[52];
+ vX_[4618] = vX_[4616] + vX_[4170] * vX_[57];
+ vX_[2735] = vX_[4613] * vX_[51] + vX_[4610] * vX_[7];
+ vX_[6407] = vX_[2735] + vX_[4200] * vX_[54];
+ vX_[4631] = 0 - vX_[4202];
+ vX_[4629] = 0 - vX_[4189];
+ jac[637] =
+ 0 -
+ (vX_[4624] * vX_[1985] + vX_[4625] * vX_[805] + vX_[4621] * vX_[984] + vX_[4630] * vX_[1987] +
+ vX_[6400] * vX_[99] + vX_[9117] * vX_[98] + vX_[4614] * -0.466187537174287 +
+ vX_[6404] * -0.00185880198235362 + vX_[4613] * vX_[64] + vX_[4610] * vX_[68] + vX_[4596] * vX_[78] +
+ vX_[5967] * vX_[50] + vX_[4163] * vX_[77] + vX_[4751] * vX_[53] +
+ (vX_[4596] * vX_[7] + vX_[4163] * vX_[51]) * 8.81e-05 +
+ (vX_[5967] * vX_[7] + vX_[4751] * vX_[52]) * -8.81e-05 + vX_[6004] * vX_[67] + vX_[4908] * vX_[63] +
+ vX_[6405] * vX_[110] + vX_[4620] * vX_[56] + vX_[4202] * vX_[59] + vX_[5964] * vX_[109] +
+ vX_[4611] * vX_[58] + vX_[4620] * vX_[55] + vX_[2837] * vX_[106] + vX_[4608] * vX_[108] +
+ (vX_[1654] * vX_[66] + vX_[4170] * vX_[61] + vX_[6824] * vX_[62] + (0 - vX_[4618]) * 0.414812462825713 +
+ (0 - (vX_[6004] * vX_[51] + vX_[4908] * vX_[7]) + vX_[4616] + vX_[6824] * vX_[57]) * 0.881 +
+ (0 - vX_[6407]) * -0.00185880198235362 +
+ (0 - (vX_[4611] * vX_[7] + vX_[4620] * vX_[52] + (vX_[4620] * vX_[51] + vX_[4202] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[1654] * -0.0004405 + vX_[6824] * -0.2209548) *
+ -0.35 +
+ vX_[6860] * vX_[4066] + vX_[6842] * vX_[4091] + vX_[4151] * vX_[4072] + vX_[5595] * vX_[4074] +
+ (vX_[4632] * vX_[1985] + vX_[6860] * vX_[4082]) * 0.35 + vX_[4668] * vX_[1006] + vX_[4636] * vX_[774] +
+ vX_[4671] * vX_[1017] + vX_[4640] * vX_[788] + vX_[4906] * vX_[962] + vX_[4644] * vX_[802] +
+ vX_[9133] * vX_[769] + vX_[4647] * vX_[75] + vX_[4672] * vX_[1025] + vX_[4642] * vX_[796] +
+ vX_[4657] * vX_[966] + vX_[4622] * vX_[800] + vX_[4661] * vX_[981] + vX_[4583] * vX_[9] +
+ vX_[4172] * vX_[822] + vX_[4658] * vX_[971] + vX_[3114] * vX_[809] + vX_[5996] * vX_[869] +
+ vX_[5984] * vX_[886] + vX_[6403] * vX_[864] + vX_[4639] * vX_[907] + vX_[4155] * vX_[895] +
+ vX_[3169] * vX_[900] + vX_[4530] * vX_[861] + vX_[2055] * vX_[849] + vX_[4651] * vX_[853] +
+ vX_[9155] * vX_[880] + vX_[6410] * vX_[883] + vX_[4895] * vX_[944] + vX_[6007] * vX_[931] +
+ vX_[4585] * vX_[938]) *
+ vX_[762] +
+ (vX_[4624] * vX_[805] + vX_[4621] * vX_[1987] + vX_[6400] * vX_[98] + vX_[4614] * -0.00185880198235362 +
+ vX_[6404] * -7.4114911576828e-06 + vX_[4613] * vX_[68] + vX_[5967] * vX_[53] + vX_[4163] * vX_[78] +
+ (vX_[4596] * vX_[52] + vX_[4163] * vX_[7]) * -8.81e-05 + vX_[6004] * vX_[63] + vX_[6405] * vX_[109] +
+ vX_[4620] * vX_[59] + vX_[4631] * vX_[55] + vX_[2837] * vX_[108] + vX_[4608] * vX_[107] +
+ vX_[6842] * vX_[4066] + vX_[5595] * vX_[4072] - (vX_[4625] * vX_[1985] + vX_[6860] * vX_[4091]) +
+ (vX_[4632] * vX_[805] + vX_[4200] * vX_[65] + vX_[4629] * vX_[66] + vX_[4618] * -0.00185880198235362 +
+ vX_[6407] * 0.880992588508842 +
+ (0 - (vX_[6004] * vX_[7] + vX_[4908] * vX_[52] + vX_[2735] + vX_[1654] * vX_[57] +
+ vX_[4629] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[4631] * vX_[51] + vX_[4620] * vX_[7]) + (vX_[4620] * vX_[7] + vX_[4202] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[1654]) * -0.1104774 + (0 - vX_[4189]) * -0.000881 + vX_[6842] * vX_[4082]) *
+ 0.35 -
+ (vX_[4630] * vX_[984] + vX_[9117] * vX_[99] + vX_[4610] * vX_[64] + vX_[4596] * vX_[77] +
+ vX_[4751] * vX_[50] + (vX_[5967] * vX_[51] + vX_[4751] * vX_[7]) * 8.81e-05 + vX_[4908] * vX_[67] +
+ vX_[4202] * vX_[56] + vX_[5964] * vX_[110] + vX_[4620] * vX_[58] + vX_[4151] * vX_[4074]) +
+ vX_[4634] * vX_[768] + vX_[4669] * vX_[1006] + vX_[4654] * vX_[955] + vX_[4671] * vX_[1014] +
+ vX_[4640] * vX_[785] + vX_[4656] * vX_[960] + vX_[4635] * vX_[800] + vX_[4660] * vX_[979] +
+ vX_[4653] * vX_[9] + vX_[4672] * vX_[1022] + vX_[4642] * vX_[793] + vX_[6819] * vX_[967] +
+ vX_[4645] * vX_[802] + vX_[9167] * vX_[769] + vX_[4648] * vX_[814] + vX_[4662] * vX_[820] +
+ vX_[4658] * vX_[973] + vX_[4673] * vX_[808] + vX_[5961] * vX_[867] + vX_[5984] * vX_[888] +
+ vX_[3753] * vX_[863] + vX_[4639] * vX_[905] + vX_[4155] * vX_[897] + vX_[3169] * vX_[901] +
+ vX_[3173] * vX_[859] + vX_[3120] * vX_[847] + vX_[4651] * vX_[855] + vX_[4034] * vX_[879] +
+ vX_[4938] * vX_[882] + vX_[5660] * vX_[942] + vX_[6007] * vX_[933] + vX_[4674] * vX_[808]) *
+ vX_[758];
+ vX_[5042] = vX_[5551] + vX_[4599] * vX_[76] + vX_[5042] * vX_[89] + vX_[5053] * vX_[3912];
+ vX_[5039] = vX_[5551] + vX_[7382] * vX_[4] + vX_[5039] * vX_[93] + vX_[5054] * vX_[3984];
+ vX_[5551] = vX_[5042] - vX_[5039];
+ vX_[3974] = vX_[4599] * vX_[4] + vX_[7382] * vX_[76] + vX_[5043] * vX_[93] + vX_[3974] * vX_[89] +
+ vX_[5053] * vX_[3984] + vX_[5054] * vX_[3912];
+ vX_[5043] = vX_[5551] * vX_[7] + vX_[3974] * vX_[52];
+ vX_[7382] = vX_[5551] * vX_[51] + vX_[3974] * vX_[7];
+ vX_[5042] = 0 - vX_[5042];
+ vX_[4599] = 0 - vX_[3974];
+ vX_[4592] =
+ vX_[5037] * vX_[76] + vX_[5553] * vX_[4] + vX_[4592] * vX_[89] + vX_[5053] * vX_[3966] + vX_[5050] * vX_[3912];
+ vX_[4629] = 0 - vX_[4592];
+ vX_[5125] =
+ vX_[5037] * vX_[4] + vX_[5553] * vX_[75] + vX_[5125] * vX_[89] + vX_[5053] * vX_[3968] + vX_[5059] * vX_[3912];
+ vX_[5037] = 0 - vX_[5125];
+ vX_[5553] = (vX_[5042] * vX_[83] + vX_[4599] * vX_[70] + vX_[4629] * vX_[79] + vX_[5037] * vX_[60]) * 1 / vX_[72];
+ vX_[5042] = vX_[5055] * vX_[1010] + vX_[5042] * vX_[84] + vX_[5553];
+ vX_[5039] = 0 - vX_[5039];
+ vX_[5025] =
+ vX_[2001] * vX_[76] + vX_[7843] * vX_[4] + vX_[5025] * vX_[93] + vX_[5054] * vX_[3966] + vX_[5050] * vX_[3984];
+ vX_[4631] = 0 - vX_[5025];
+ vX_[2755] =
+ vX_[2001] * vX_[4] + vX_[7843] * vX_[75] + vX_[2755] * vX_[93] + vX_[5054] * vX_[3968] + vX_[5059] * vX_[3984];
+ vX_[2001] = 0 - vX_[2755];
+ vX_[7843] = (vX_[5039] * vX_[70] + vX_[4631] * vX_[79] + vX_[2001] * vX_[60]) * 1 / vX_[72];
+ vX_[5039] = vX_[5056] * vX_[1010] + vX_[4599] * vX_[84] + vX_[5039] * vX_[73] + vX_[7843];
+ vX_[3568] = vX_[5040] + vX_[5541] * vX_[89] + vX_[3568] * vX_[93] * 2. + vX_[5049] * vX_[3968] - vX_[5039];
+ vX_[2862] = 0 - (vX_[3113] + vX_[2862] * vX_[93] + vX_[5047] * vX_[89] * 2. + vX_[5049] * vX_[3966]) + vX_[5042];
+ vX_[5047] = vX_[5047] + vX_[5050] * vX_[3966];
+ vX_[5045] = vX_[5045] + vX_[5059] * vX_[3968];
+ vX_[3113] = vX_[5047] - vX_[5045];
+ vX_[5049] = 0 - vX_[5047];
+ vX_[5541] = vX_[5541] + vX_[5050] * vX_[3968] + vX_[5059] * vX_[3966];
+ vX_[5040] = 0 - vX_[5541];
+ vX_[4599] = (vX_[5049] * vX_[79] + vX_[5040] * vX_[60]) * 1 / vX_[72];
+ vX_[5049] = vX_[5058] * vX_[1010] + vX_[4629] * vX_[84] + vX_[4631] * vX_[73] + vX_[5049] * vX_[116] + vX_[4599];
+ vX_[4631] = 0 - vX_[5045];
+ vX_[4629] = vX_[4631] * vX_[60] * 1 / vX_[72];
+ vX_[4631] = vX_[5060] * vX_[1010] + vX_[5037] * vX_[84] + vX_[2001] * vX_[73] + vX_[5040] * vX_[116] +
+ vX_[4631] * vX_[112] + vX_[4629];
+ vX_[5040] = 0 - vX_[4631];
+ vX_[2001] = vX_[3113] * vX_[7] + vX_[5541] * vX_[52];
+ vX_[5037] = vX_[3113] * vX_[51] + vX_[5541] * vX_[7];
+ vX_[6407] = vX_[2001] * vX_[51] + vX_[5037] * vX_[7];
+ vX_[2735] = vX_[5045] + vX_[2001] * vX_[7];
+ vX_[4618] = vX_[5045] + vX_[5037] * vX_[51];
+ vX_[4629] = vX_[5047] + vX_[5045] + 0 - vX_[5055] * vX_[3895] - vX_[5056] * vX_[3907] - vX_[5057] * vX_[3985] +
+ vX_[5057] * vX_[1010] - vX_[5058] * vX_[4057] - vX_[5060] * vX_[815] - vX_[5553] * vX_[84] -
+ vX_[7843] * vX_[73] - vX_[4599] * vX_[116] - vX_[4629] * vX_[112] - vX_[2735] - vX_[4618];
+ vX_[4599] = 0 - vX_[4629];
+ vX_[5045] = vX_[5042] * vX_[7] + vX_[5039] * vX_[52];
+ vX_[5047] = vX_[5045] + vX_[4599] * vX_[57];
+ vX_[7843] = vX_[5042] * vX_[51] + vX_[5039] * vX_[7];
+ vX_[5553] = vX_[7843] + vX_[4629] * vX_[54];
+ vX_[5060] = 0 - vX_[4631];
+ vX_[5058] = 0 - vX_[4618];
+ jac[638] =
+ 0 -
+ (vX_[5053] * vX_[1985] + vX_[5054] * vX_[805] + vX_[5050] * vX_[984] + vX_[5059] * vX_[1987] +
+ vX_[5551] * vX_[99] + vX_[3974] * vX_[98] + vX_[5043] * -0.466187537174287 +
+ vX_[7382] * -0.00185880198235362 + vX_[5042] * vX_[64] + vX_[5039] * vX_[68] + vX_[5025] * vX_[78] +
+ vX_[5125] * vX_[50] + vX_[4592] * vX_[77] + vX_[2755] * vX_[53] +
+ (vX_[5025] * vX_[7] + vX_[4592] * vX_[51]) * 8.81e-05 +
+ (vX_[5125] * vX_[7] + vX_[2755] * vX_[52]) * -8.81e-05 + vX_[3568] * vX_[67] + vX_[2862] * vX_[63] +
+ vX_[3113] * vX_[110] + vX_[5049] * vX_[56] + vX_[4631] * vX_[59] + vX_[5541] * vX_[109] +
+ vX_[5040] * vX_[58] + vX_[5049] * vX_[55] + vX_[2001] * vX_[106] + vX_[5037] * vX_[108] +
+ (vX_[6407] * vX_[66] + vX_[4599] * vX_[61] + vX_[2735] * vX_[62] + (0 - vX_[5047]) * 0.414812462825713 +
+ (0 - (vX_[3568] * vX_[51] + vX_[2862] * vX_[7]) + vX_[5045] + vX_[2735] * vX_[57]) * 0.881 +
+ (0 - vX_[5553]) * -0.00185880198235362 +
+ (0 - (vX_[5040] * vX_[7] + vX_[5049] * vX_[52] + (vX_[5049] * vX_[51] + vX_[4631] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[6407] * -0.0004405 + vX_[2735] * -0.2209548) *
+ -0.35 +
+ vX_[6435] * vX_[4066] + vX_[2741] * vX_[4091] + vX_[4580] * vX_[4072] + vX_[5569] * vX_[4074] +
+ (vX_[5061] * vX_[1985] + vX_[6435] * vX_[4082]) * 0.35 + vX_[5097] * vX_[1006] + vX_[5065] * vX_[774] +
+ vX_[5100] * vX_[1017] + vX_[5069] * vX_[788] + vX_[2832] * vX_[962] + vX_[5073] * vX_[802] +
+ vX_[5770] * vX_[769] + vX_[5076] * vX_[75] + vX_[5101] * vX_[1025] + vX_[5071] * vX_[796] +
+ vX_[5086] * vX_[966] + vX_[5051] * vX_[800] + vX_[5090] * vX_[981] + vX_[5012] * vX_[9] +
+ vX_[4601] * vX_[822] + vX_[5087] * vX_[971] + vX_[7656] * vX_[809] + vX_[3123] * vX_[869] +
+ vX_[6975] * vX_[886] + vX_[5550] * vX_[864] + vX_[5068] * vX_[907] + vX_[4584] * vX_[895] +
+ vX_[4353] * vX_[900] + vX_[7018] * vX_[861] + vX_[5561] * vX_[849] + vX_[2842] * vX_[853] +
+ vX_[5169] * vX_[880] + vX_[3535] * vX_[883] + vX_[5324] * vX_[944] + vX_[6959] * vX_[931] +
+ vX_[5014] * vX_[938]) *
+ vX_[762] +
+ (vX_[5053] * vX_[805] + vX_[5050] * vX_[1987] + vX_[5551] * vX_[98] + vX_[5043] * -0.00185880198235362 +
+ vX_[7382] * -7.4114911576828e-06 + vX_[5042] * vX_[68] + vX_[5125] * vX_[53] + vX_[4592] * vX_[78] +
+ (vX_[5025] * vX_[52] + vX_[4592] * vX_[7]) * -8.81e-05 + vX_[3568] * vX_[63] + vX_[3113] * vX_[109] +
+ vX_[5049] * vX_[59] + vX_[5060] * vX_[55] + vX_[2001] * vX_[108] + vX_[5037] * vX_[107] +
+ vX_[2741] * vX_[4066] + vX_[5569] * vX_[4072] - (vX_[5054] * vX_[1985] + vX_[6435] * vX_[4091]) +
+ (vX_[5061] * vX_[805] + vX_[4629] * vX_[65] + vX_[5058] * vX_[66] + vX_[5047] * -0.00185880198235362 +
+ vX_[5553] * 0.880992588508842 +
+ (0 - (vX_[3568] * vX_[7] + vX_[2862] * vX_[52] + vX_[7843] + vX_[6407] * vX_[57] +
+ vX_[5058] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[5060] * vX_[51] + vX_[5049] * vX_[7]) + (vX_[5049] * vX_[7] + vX_[4631] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[6407]) * -0.1104774 + (0 - vX_[4618]) * -0.000881 + vX_[2741] * vX_[4082]) *
+ 0.35 -
+ (vX_[5059] * vX_[984] + vX_[3974] * vX_[99] + vX_[5039] * vX_[64] + vX_[5025] * vX_[77] +
+ vX_[2755] * vX_[50] + (vX_[5125] * vX_[51] + vX_[2755] * vX_[7]) * 8.81e-05 + vX_[2862] * vX_[67] +
+ vX_[4631] * vX_[56] + vX_[5541] * vX_[110] + vX_[5049] * vX_[58] + vX_[4580] * vX_[4074]) +
+ vX_[5063] * vX_[768] + vX_[5098] * vX_[1006] + vX_[5083] * vX_[955] + vX_[5100] * vX_[1014] +
+ vX_[5069] * vX_[785] + vX_[5085] * vX_[960] + vX_[5064] * vX_[800] + vX_[5089] * vX_[979] +
+ vX_[5082] * vX_[9] + vX_[5101] * vX_[1022] + vX_[5071] * vX_[793] + vX_[5980] * vX_[967] +
+ vX_[5074] * vX_[802] + vX_[3579] * vX_[769] + vX_[5077] * vX_[814] + vX_[5091] * vX_[820] +
+ vX_[5087] * vX_[973] + vX_[5102] * vX_[808] + vX_[3531] * vX_[867] + vX_[6975] * vX_[888] +
+ vX_[4899] * vX_[863] + vX_[5068] * vX_[905] + vX_[4584] * vX_[897] + vX_[4353] * vX_[901] +
+ vX_[5566] * vX_[859] + vX_[5563] * vX_[847] + vX_[2842] * vX_[855] + vX_[4918] * vX_[879] +
+ vX_[5536] * vX_[882] + vX_[4811] * vX_[942] + vX_[6959] * vX_[933] + vX_[5103] * vX_[808]) *
+ vX_[758];
+ vX_[5461] = vX_[4331] + vX_[5028] * vX_[76] + vX_[5461] * vX_[89] + vX_[5472] * vX_[3912];
+ vX_[5458] = vX_[4331] + vX_[3913] * vX_[4] + vX_[5458] * vX_[93] + vX_[5473] * vX_[3984];
+ vX_[4331] = vX_[5461] - vX_[5458];
+ vX_[6124] = vX_[5028] * vX_[4] + vX_[3913] * vX_[76] + vX_[5462] * vX_[93] + vX_[6124] * vX_[89] +
+ vX_[5472] * vX_[3984] + vX_[5473] * vX_[3912];
+ vX_[5462] = vX_[4331] * vX_[7] + vX_[6124] * vX_[52];
+ vX_[3913] = vX_[4331] * vX_[51] + vX_[6124] * vX_[7];
+ vX_[5461] = 0 - vX_[5461];
+ vX_[5028] = 0 - vX_[6124];
+ vX_[5021] =
+ vX_[5456] * vX_[76] + vX_[4558] * vX_[4] + vX_[5021] * vX_[89] + vX_[5472] * vX_[3966] + vX_[5469] * vX_[3912];
+ vX_[5058] = 0 - vX_[5021];
+ vX_[4747] =
+ vX_[5456] * vX_[4] + vX_[4558] * vX_[75] + vX_[4747] * vX_[89] + vX_[5472] * vX_[3968] + vX_[5478] * vX_[3912];
+ vX_[5456] = 0 - vX_[4747];
+ vX_[4558] = (vX_[5461] * vX_[83] + vX_[5028] * vX_[70] + vX_[5058] * vX_[79] + vX_[5456] * vX_[60]) * 1 / vX_[72];
+ vX_[5461] = vX_[5474] * vX_[1010] + vX_[5461] * vX_[84] + vX_[4558];
+ vX_[5458] = 0 - vX_[5458];
+ vX_[5444] =
+ vX_[1458] * vX_[76] + vX_[5848] * vX_[4] + vX_[5444] * vX_[93] + vX_[5473] * vX_[3966] + vX_[5469] * vX_[3984];
+ vX_[5060] = 0 - vX_[5444];
+ vX_[1977] =
+ vX_[1458] * vX_[4] + vX_[5848] * vX_[75] + vX_[1977] * vX_[93] + vX_[5473] * vX_[3968] + vX_[5478] * vX_[3984];
+ vX_[1458] = 0 - vX_[1977];
+ vX_[5848] = (vX_[5458] * vX_[70] + vX_[5060] * vX_[79] + vX_[1458] * vX_[60]) * 1 / vX_[72];
+ vX_[5458] = vX_[5475] * vX_[1010] + vX_[5028] * vX_[84] + vX_[5458] * vX_[73] + vX_[5848];
+ vX_[3881] = vX_[5459] + vX_[3524] * vX_[89] + vX_[3881] * vX_[93] * 2. + vX_[5468] * vX_[3968] - vX_[5458];
+ vX_[2037] = 0 - (vX_[6536] + vX_[2037] * vX_[93] + vX_[5466] * vX_[89] * 2. + vX_[5468] * vX_[3966]) + vX_[5461];
+ vX_[5466] = vX_[5466] + vX_[5469] * vX_[3966];
+ vX_[5464] = vX_[5464] + vX_[5478] * vX_[3968];
+ vX_[6536] = vX_[5466] - vX_[5464];
+ vX_[5468] = 0 - vX_[5466];
+ vX_[3524] = vX_[3524] + vX_[5469] * vX_[3968] + vX_[5478] * vX_[3966];
+ vX_[5459] = 0 - vX_[3524];
+ vX_[5028] = (vX_[5468] * vX_[79] + vX_[5459] * vX_[60]) * 1 / vX_[72];
+ vX_[5468] = vX_[5477] * vX_[1010] + vX_[5058] * vX_[84] + vX_[5060] * vX_[73] + vX_[5468] * vX_[116] + vX_[5028];
+ vX_[5060] = 0 - vX_[5464];
+ vX_[5058] = vX_[5060] * vX_[60] * 1 / vX_[72];
+ vX_[5060] = vX_[5479] * vX_[1010] + vX_[5456] * vX_[84] + vX_[1458] * vX_[73] + vX_[5459] * vX_[116] +
+ vX_[5060] * vX_[112] + vX_[5058];
+ vX_[5459] = 0 - vX_[5060];
+ vX_[1458] = vX_[6536] * vX_[7] + vX_[3524] * vX_[52];
+ vX_[5456] = vX_[6536] * vX_[51] + vX_[3524] * vX_[7];
+ vX_[5553] = vX_[1458] * vX_[51] + vX_[5456] * vX_[7];
+ vX_[7843] = vX_[5464] + vX_[1458] * vX_[7];
+ vX_[5047] = vX_[5464] + vX_[5456] * vX_[51];
+ vX_[5058] = vX_[5466] + vX_[5464] + 0 - vX_[5474] * vX_[3895] - vX_[5475] * vX_[3907] - vX_[5476] * vX_[3985] +
+ vX_[5476] * vX_[1010] - vX_[5477] * vX_[4057] - vX_[5479] * vX_[815] - vX_[4558] * vX_[84] -
+ vX_[5848] * vX_[73] - vX_[5028] * vX_[116] - vX_[5058] * vX_[112] - vX_[7843] - vX_[5047];
+ vX_[5028] = 0 - vX_[5058];
+ vX_[5464] = vX_[5461] * vX_[7] + vX_[5458] * vX_[52];
+ vX_[5466] = vX_[5464] + vX_[5028] * vX_[57];
+ vX_[5848] = vX_[5461] * vX_[51] + vX_[5458] * vX_[7];
+ vX_[4558] = vX_[5848] + vX_[5058] * vX_[54];
+ vX_[5479] = 0 - vX_[5060];
+ vX_[5477] = 0 - vX_[5047];
+ jac[639] =
+ 0 -
+ (vX_[5472] * vX_[1985] + vX_[5473] * vX_[805] + vX_[5469] * vX_[984] + vX_[5478] * vX_[1987] +
+ vX_[4331] * vX_[99] + vX_[6124] * vX_[98] + vX_[5462] * -0.466187537174287 +
+ vX_[3913] * -0.00185880198235362 + vX_[5461] * vX_[64] + vX_[5458] * vX_[68] + vX_[5444] * vX_[78] +
+ vX_[4747] * vX_[50] + vX_[5021] * vX_[77] + vX_[1977] * vX_[53] +
+ (vX_[5444] * vX_[7] + vX_[5021] * vX_[51]) * 8.81e-05 +
+ (vX_[4747] * vX_[7] + vX_[1977] * vX_[52]) * -8.81e-05 + vX_[3881] * vX_[67] + vX_[2037] * vX_[63] +
+ vX_[6536] * vX_[110] + vX_[5468] * vX_[56] + vX_[5060] * vX_[59] + vX_[3524] * vX_[109] +
+ vX_[5459] * vX_[58] + vX_[5468] * vX_[55] + vX_[1458] * vX_[106] + vX_[5456] * vX_[108] +
+ (vX_[5553] * vX_[66] + vX_[5028] * vX_[61] + vX_[7843] * vX_[62] + (0 - vX_[5466]) * 0.414812462825713 +
+ (0 - (vX_[3881] * vX_[51] + vX_[2037] * vX_[7]) + vX_[5464] + vX_[7843] * vX_[57]) * 0.881 +
+ (0 - vX_[4558]) * -0.00185880198235362 +
+ (0 - (vX_[5459] * vX_[7] + vX_[5468] * vX_[52] + (vX_[5468] * vX_[51] + vX_[5060] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[5553] * -0.0004405 + vX_[7843] * -0.2209548) *
+ -0.35 +
+ vX_[5976] * vX_[4066] + vX_[3533] * vX_[4091] + vX_[5009] * vX_[4072] + vX_[6956] * vX_[4074] +
+ (vX_[5480] * vX_[1985] + vX_[5976] * vX_[4082]) * 0.35 + vX_[5516] * vX_[1006] + vX_[5484] * vX_[774] +
+ vX_[5519] * vX_[1017] + vX_[5488] * vX_[788] + vX_[2009] * vX_[962] + vX_[5492] * vX_[802] +
+ vX_[5164] * vX_[769] + vX_[5495] * vX_[75] + vX_[5520] * vX_[1025] + vX_[5490] * vX_[796] +
+ vX_[5505] * vX_[966] + vX_[5470] * vX_[800] + vX_[5509] * vX_[981] + vX_[5431] * vX_[9] +
+ vX_[5030] * vX_[822] + vX_[5506] * vX_[971] + vX_[5113] * vX_[809] + vX_[6670] * vX_[869] +
+ vX_[5144] * vX_[886] + vX_[5121] * vX_[864] + vX_[5487] * vX_[907] + vX_[5013] * vX_[895] +
+ vX_[5142] * vX_[900] + vX_[5170] * vX_[861] + vX_[5133] * vX_[849] + vX_[2008] * vX_[853] +
+ vX_[5156] * vX_[880] + vX_[5119] * vX_[883] + vX_[5743] * vX_[944] + vX_[5130] * vX_[931] +
+ vX_[5433] * vX_[938]) *
+ vX_[762] +
+ (vX_[5472] * vX_[805] + vX_[5469] * vX_[1987] + vX_[4331] * vX_[98] + vX_[5462] * -0.00185880198235362 +
+ vX_[3913] * -7.4114911576828e-06 + vX_[5461] * vX_[68] + vX_[4747] * vX_[53] + vX_[5021] * vX_[78] +
+ (vX_[5444] * vX_[52] + vX_[5021] * vX_[7]) * -8.81e-05 + vX_[3881] * vX_[63] + vX_[6536] * vX_[109] +
+ vX_[5468] * vX_[59] + vX_[5479] * vX_[55] + vX_[1458] * vX_[108] + vX_[5456] * vX_[107] +
+ vX_[3533] * vX_[4066] + vX_[6956] * vX_[4072] - (vX_[5473] * vX_[1985] + vX_[5976] * vX_[4091]) +
+ (vX_[5480] * vX_[805] + vX_[5058] * vX_[65] + vX_[5477] * vX_[66] + vX_[5466] * -0.00185880198235362 +
+ vX_[4558] * 0.880992588508842 +
+ (0 - (vX_[3881] * vX_[7] + vX_[2037] * vX_[52] + vX_[5848] + vX_[5553] * vX_[57] +
+ vX_[5477] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[5479] * vX_[51] + vX_[5468] * vX_[7]) + (vX_[5468] * vX_[7] + vX_[5060] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[5553]) * -0.1104774 + (0 - vX_[5047]) * -0.000881 + vX_[3533] * vX_[4082]) *
+ 0.35 -
+ (vX_[5478] * vX_[984] + vX_[6124] * vX_[99] + vX_[5458] * vX_[64] + vX_[5444] * vX_[77] +
+ vX_[1977] * vX_[50] + (vX_[4747] * vX_[51] + vX_[1977] * vX_[7]) * 8.81e-05 + vX_[2037] * vX_[67] +
+ vX_[5060] * vX_[56] + vX_[3524] * vX_[110] + vX_[5468] * vX_[58] + vX_[5009] * vX_[4074]) +
+ vX_[5482] * vX_[768] + vX_[5517] * vX_[1006] + vX_[5502] * vX_[955] + vX_[5519] * vX_[1014] +
+ vX_[5488] * vX_[785] + vX_[5504] * vX_[960] + vX_[5483] * vX_[800] + vX_[5508] * vX_[979] +
+ vX_[5501] * vX_[9] + vX_[5520] * vX_[1022] + vX_[5490] * vX_[793] + vX_[3946] * vX_[967] +
+ vX_[5493] * vX_[802] + vX_[4027] * vX_[769] + vX_[5496] * vX_[814] + vX_[5510] * vX_[820] +
+ vX_[5506] * vX_[973] + vX_[5521] * vX_[808] + vX_[5160] * vX_[867] + vX_[5144] * vX_[888] +
+ vX_[2846] * vX_[863] + vX_[5487] * vX_[905] + vX_[5013] * vX_[897] + vX_[5142] * vX_[901] +
+ vX_[5171] * vX_[859] + vX_[6138] * vX_[847] + vX_[2008] * vX_[855] + vX_[2651] * vX_[879] +
+ vX_[4378] * vX_[882] + vX_[2737] * vX_[942] + vX_[5130] * vX_[933] + vX_[5522] * vX_[808]) *
+ vX_[758];
+ vX_[5890] = vX_[5246] + vX_[5447] * vX_[76] + vX_[5890] * vX_[89] + vX_[5901] * vX_[3912];
+ vX_[5887] = vX_[5246] + vX_[5372] * vX_[4] + vX_[5887] * vX_[93] + vX_[5902] * vX_[3984];
+ vX_[5246] = vX_[5890] - vX_[5887];
+ vX_[4412] = vX_[5447] * vX_[4] + vX_[5372] * vX_[76] + vX_[5891] * vX_[93] + vX_[4412] * vX_[89] +
+ vX_[5901] * vX_[3984] + vX_[5902] * vX_[3912];
+ vX_[5891] = vX_[5246] * vX_[7] + vX_[4412] * vX_[52];
+ vX_[5372] = vX_[5246] * vX_[51] + vX_[4412] * vX_[7];
+ vX_[5890] = 0 - vX_[5890];
+ vX_[5447] = 0 - vX_[4412];
+ vX_[5440] =
+ vX_[5885] * vX_[76] + vX_[5209] * vX_[4] + vX_[5440] * vX_[89] + vX_[5901] * vX_[3966] + vX_[5898] * vX_[3912];
+ vX_[5477] = 0 - vX_[5440];
+ vX_[4721] =
+ vX_[5885] * vX_[4] + vX_[5209] * vX_[75] + vX_[4721] * vX_[89] + vX_[5901] * vX_[3968] + vX_[5907] * vX_[3912];
+ vX_[5885] = 0 - vX_[4721];
+ vX_[5209] = (vX_[5890] * vX_[83] + vX_[5447] * vX_[70] + vX_[5477] * vX_[79] + vX_[5885] * vX_[60]) * 1 / vX_[72];
+ vX_[5890] = vX_[5903] * vX_[1010] + vX_[5890] * vX_[84] + vX_[5209];
+ vX_[5887] = 0 - vX_[5887];
+ vX_[5873] =
+ vX_[935] * vX_[76] + vX_[3581] * vX_[4] + vX_[5873] * vX_[93] + vX_[5902] * vX_[3966] + vX_[5898] * vX_[3984];
+ vX_[5479] = 0 - vX_[5873];
+ vX_[3726] =
+ vX_[935] * vX_[4] + vX_[3581] * vX_[75] + vX_[3726] * vX_[93] + vX_[5902] * vX_[3968] + vX_[5907] * vX_[3984];
+ vX_[935] = 0 - vX_[3726];
+ vX_[3581] = (vX_[5887] * vX_[70] + vX_[5479] * vX_[79] + vX_[935] * vX_[60]) * 1 / vX_[72];
+ vX_[5887] = vX_[5904] * vX_[1010] + vX_[5447] * vX_[84] + vX_[5887] * vX_[73] + vX_[3581];
+ vX_[4985] = vX_[5888] + vX_[4685] * vX_[89] + vX_[4985] * vX_[93] * 2. + vX_[5897] * vX_[3968] - vX_[5887];
+ vX_[1927] = 0 - (vX_[6486] + vX_[1927] * vX_[93] + vX_[5895] * vX_[89] * 2. + vX_[5897] * vX_[3966]) + vX_[5890];
+ vX_[5895] = vX_[5895] + vX_[5898] * vX_[3966];
+ vX_[5893] = vX_[5893] + vX_[5907] * vX_[3968];
+ vX_[6486] = vX_[5895] - vX_[5893];
+ vX_[5897] = 0 - vX_[5895];
+ vX_[4685] = vX_[4685] + vX_[5898] * vX_[3968] + vX_[5907] * vX_[3966];
+ vX_[5888] = 0 - vX_[4685];
+ vX_[5447] = (vX_[5897] * vX_[79] + vX_[5888] * vX_[60]) * 1 / vX_[72];
+ vX_[5897] = vX_[5906] * vX_[1010] + vX_[5477] * vX_[84] + vX_[5479] * vX_[73] + vX_[5897] * vX_[116] + vX_[5447];
+ vX_[5479] = 0 - vX_[5893];
+ vX_[5477] = vX_[5479] * vX_[60] * 1 / vX_[72];
+ vX_[5479] = vX_[5908] * vX_[1010] + vX_[5885] * vX_[84] + vX_[935] * vX_[73] + vX_[5888] * vX_[116] +
+ vX_[5479] * vX_[112] + vX_[5477];
+ vX_[5888] = 0 - vX_[5479];
+ vX_[935] = vX_[6486] * vX_[7] + vX_[4685] * vX_[52];
+ vX_[5885] = vX_[6486] * vX_[51] + vX_[4685] * vX_[7];
+ vX_[4558] = vX_[935] * vX_[51] + vX_[5885] * vX_[7];
+ vX_[5848] = vX_[5893] + vX_[935] * vX_[7];
+ vX_[5466] = vX_[5893] + vX_[5885] * vX_[51];
+ vX_[5477] = vX_[5895] + vX_[5893] + 0 - vX_[5903] * vX_[3895] - vX_[5904] * vX_[3907] - vX_[5905] * vX_[3985] +
+ vX_[5905] * vX_[1010] - vX_[5906] * vX_[4057] - vX_[5908] * vX_[815] - vX_[5209] * vX_[84] -
+ vX_[3581] * vX_[73] - vX_[5447] * vX_[116] - vX_[5477] * vX_[112] - vX_[5848] - vX_[5466];
+ vX_[5447] = 0 - vX_[5477];
+ vX_[5893] = vX_[5890] * vX_[7] + vX_[5887] * vX_[52];
+ vX_[5895] = vX_[5893] + vX_[5447] * vX_[57];
+ vX_[3581] = vX_[5890] * vX_[51] + vX_[5887] * vX_[7];
+ vX_[5209] = vX_[3581] + vX_[5477] * vX_[54];
+ vX_[5908] = 0 - vX_[5479];
+ vX_[5906] = 0 - vX_[5466];
+ jac[640] =
+ 0 -
+ (vX_[5901] * vX_[1985] + vX_[5902] * vX_[805] + vX_[5898] * vX_[984] + vX_[5907] * vX_[1987] +
+ vX_[5246] * vX_[99] + vX_[4412] * vX_[98] + vX_[5891] * -0.466187537174287 +
+ vX_[5372] * -0.00185880198235362 + vX_[5890] * vX_[64] + vX_[5887] * vX_[68] + vX_[5873] * vX_[78] +
+ vX_[4721] * vX_[50] + vX_[5440] * vX_[77] + vX_[3726] * vX_[53] +
+ (vX_[5873] * vX_[7] + vX_[5440] * vX_[51]) * 8.81e-05 +
+ (vX_[4721] * vX_[7] + vX_[3726] * vX_[52]) * -8.81e-05 + vX_[4985] * vX_[67] + vX_[1927] * vX_[63] +
+ vX_[6486] * vX_[110] + vX_[5897] * vX_[56] + vX_[5479] * vX_[59] + vX_[4685] * vX_[109] +
+ vX_[5888] * vX_[58] + vX_[5897] * vX_[55] + vX_[935] * vX_[106] + vX_[5885] * vX_[108] +
+ (vX_[4558] * vX_[66] + vX_[5447] * vX_[61] + vX_[5848] * vX_[62] + (0 - vX_[5895]) * 0.414812462825713 +
+ (0 - (vX_[4985] * vX_[51] + vX_[1927] * vX_[7]) + vX_[5893] + vX_[5848] * vX_[57]) * 0.881 +
+ (0 - vX_[5209]) * -0.00185880198235362 +
+ (0 - (vX_[5888] * vX_[7] + vX_[5897] * vX_[52] + (vX_[5897] * vX_[51] + vX_[5479] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[4558] * -0.0004405 + vX_[5848] * -0.2209548) *
+ -0.35 +
+ vX_[6549] * vX_[4066] + vX_[5117] * vX_[4091] + vX_[5428] * vX_[4072] + vX_[4745] * vX_[4074] +
+ (vX_[5909] * vX_[1985] + vX_[6549] * vX_[4082]) * 0.35 + vX_[5945] * vX_[1006] + vX_[5913] * vX_[774] +
+ vX_[5948] * vX_[1017] + vX_[5917] * vX_[788] + vX_[1452] * vX_[962] + vX_[5921] * vX_[802] +
+ vX_[4729] * vX_[769] + vX_[5924] * vX_[75] + vX_[5949] * vX_[1025] + vX_[5919] * vX_[796] +
+ vX_[5934] * vX_[966] + vX_[5899] * vX_[800] + vX_[5938] * vX_[981] + vX_[5860] * vX_[9] +
+ vX_[5449] * vX_[822] + vX_[5935] * vX_[971] + vX_[4778] * vX_[809] + vX_[4922] * vX_[869] +
+ vX_[5215] * vX_[886] + vX_[8797] * vX_[864] + vX_[5916] * vX_[907] + vX_[5432] * vX_[895] +
+ vX_[4704] * vX_[900] + vX_[4697] * vX_[861] + vX_[5513] * vX_[849] + vX_[1539] * vX_[853] +
+ vX_[5287] * vX_[880] + vX_[4267] * vX_[883] + vX_[6172] * vX_[944] + vX_[4276] * vX_[931] +
+ vX_[5862] * vX_[938]) *
+ vX_[762] +
+ (vX_[5901] * vX_[805] + vX_[5898] * vX_[1987] + vX_[5246] * vX_[98] + vX_[5891] * -0.00185880198235362 +
+ vX_[5372] * -7.4114911576828e-06 + vX_[5890] * vX_[68] + vX_[4721] * vX_[53] + vX_[5440] * vX_[78] +
+ (vX_[5873] * vX_[52] + vX_[5440] * vX_[7]) * -8.81e-05 + vX_[4985] * vX_[63] + vX_[6486] * vX_[109] +
+ vX_[5897] * vX_[59] + vX_[5908] * vX_[55] + vX_[935] * vX_[108] + vX_[5885] * vX_[107] +
+ vX_[5117] * vX_[4066] + vX_[4745] * vX_[4072] - (vX_[5902] * vX_[1985] + vX_[6549] * vX_[4091]) +
+ (vX_[5909] * vX_[805] + vX_[5477] * vX_[65] + vX_[5906] * vX_[66] + vX_[5895] * -0.00185880198235362 +
+ vX_[5209] * 0.880992588508842 +
+ (0 - (vX_[4985] * vX_[7] + vX_[1927] * vX_[52] + vX_[3581] + vX_[4558] * vX_[57] +
+ vX_[5906] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[5908] * vX_[51] + vX_[5897] * vX_[7]) + (vX_[5897] * vX_[7] + vX_[5479] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[4558]) * -0.1104774 + (0 - vX_[5466]) * -0.000881 + vX_[5117] * vX_[4082]) *
+ 0.35 -
+ (vX_[5907] * vX_[984] + vX_[4412] * vX_[99] + vX_[5887] * vX_[64] + vX_[5873] * vX_[77] +
+ vX_[3726] * vX_[50] + (vX_[4721] * vX_[51] + vX_[3726] * vX_[7]) * 8.81e-05 + vX_[1927] * vX_[67] +
+ vX_[5479] * vX_[56] + vX_[4685] * vX_[110] + vX_[5897] * vX_[58] + vX_[5428] * vX_[4074]) +
+ vX_[5911] * vX_[768] + vX_[5946] * vX_[1006] + vX_[5931] * vX_[955] + vX_[5948] * vX_[1014] +
+ vX_[5917] * vX_[785] + vX_[5933] * vX_[960] + vX_[5912] * vX_[800] + vX_[5937] * vX_[979] +
+ vX_[5930] * vX_[9] + vX_[5949] * vX_[1022] + vX_[5919] * vX_[793] + vX_[3933] * vX_[967] +
+ vX_[5922] * vX_[802] + vX_[4713] * vX_[769] + vX_[5925] * vX_[814] + vX_[5939] * vX_[820] +
+ vX_[5935] * vX_[973] + vX_[5950] * vX_[808] + vX_[4707] * vX_[867] + vX_[5215] * vX_[888] +
+ vX_[2029] * vX_[863] + vX_[5916] * vX_[905] + vX_[5432] * vX_[897] + vX_[4704] * vX_[901] +
+ vX_[4698] * vX_[859] + vX_[4700] * vX_[847] + vX_[1539] * vX_[855] + vX_[2038] * vX_[879] +
+ vX_[5197] * vX_[882] + vX_[1924] * vX_[942] + vX_[4276] * vX_[933] + vX_[5951] * vX_[808]) *
+ vX_[758];
+ vX_[6319] = vX_[3896] + vX_[5876] * vX_[76] + vX_[6319] * vX_[89] + vX_[6330] * vX_[3912];
+ vX_[6316] = vX_[3896] + vX_[6484] * vX_[4] + vX_[6316] * vX_[93] + vX_[6331] * vX_[3984];
+ vX_[3896] = vX_[6319] - vX_[6316];
+ vX_[4291] = vX_[5876] * vX_[4] + vX_[6484] * vX_[76] + vX_[6320] * vX_[93] + vX_[4291] * vX_[89] +
+ vX_[6330] * vX_[3984] + vX_[6331] * vX_[3912];
+ vX_[6320] = vX_[3896] * vX_[7] + vX_[4291] * vX_[52];
+ vX_[6484] = vX_[3896] * vX_[51] + vX_[4291] * vX_[7];
+ vX_[6319] = 0 - vX_[6319];
+ vX_[5876] = 0 - vX_[4291];
+ vX_[5869] =
+ vX_[6314] * vX_[76] + vX_[4255] * vX_[4] + vX_[5869] * vX_[89] + vX_[6330] * vX_[3966] + vX_[6327] * vX_[3912];
+ vX_[5906] = 0 - vX_[5869];
+ vX_[2858] =
+ vX_[6314] * vX_[4] + vX_[4255] * vX_[75] + vX_[2858] * vX_[89] + vX_[6330] * vX_[3968] + vX_[6336] * vX_[3912];
+ vX_[6314] = 0 - vX_[2858];
+ vX_[4255] = (vX_[6319] * vX_[83] + vX_[5876] * vX_[70] + vX_[5906] * vX_[79] + vX_[6314] * vX_[60]) * 1 / vX_[72];
+ vX_[6319] = vX_[6332] * vX_[1010] + vX_[6319] * vX_[84] + vX_[4255];
+ vX_[6316] = 0 - vX_[6316];
+ vX_[6302] =
+ vX_[7909] * vX_[76] + vX_[4317] * vX_[4] + vX_[6302] * vX_[93] + vX_[6331] * vX_[3966] + vX_[6327] * vX_[3984];
+ vX_[5908] = 0 - vX_[6302];
+ vX_[1310] =
+ vX_[7909] * vX_[4] + vX_[4317] * vX_[75] + vX_[1310] * vX_[93] + vX_[6331] * vX_[3968] + vX_[6336] * vX_[3984];
+ vX_[7909] = 0 - vX_[1310];
+ vX_[4317] = (vX_[6316] * vX_[70] + vX_[5908] * vX_[79] + vX_[7909] * vX_[60]) * 1 / vX_[72];
+ vX_[6316] = vX_[6333] * vX_[1010] + vX_[5876] * vX_[84] + vX_[6316] * vX_[73] + vX_[4317];
+ vX_[4301] = vX_[6317] + vX_[2105] * vX_[89] + vX_[4301] * vX_[93] * 2. + vX_[6326] * vX_[3968] - vX_[6316];
+ vX_[1238] = 0 - (vX_[5633] + vX_[1238] * vX_[93] + vX_[6324] * vX_[89] * 2. + vX_[6326] * vX_[3966]) + vX_[6319];
+ vX_[6324] = vX_[6324] + vX_[6327] * vX_[3966];
+ vX_[6322] = vX_[6322] + vX_[6336] * vX_[3968];
+ vX_[5633] = vX_[6324] - vX_[6322];
+ vX_[6326] = 0 - vX_[6324];
+ vX_[2105] = vX_[2105] + vX_[6327] * vX_[3968] + vX_[6336] * vX_[3966];
+ vX_[6317] = 0 - vX_[2105];
+ vX_[5876] = (vX_[6326] * vX_[79] + vX_[6317] * vX_[60]) * 1 / vX_[72];
+ vX_[6326] = vX_[6335] * vX_[1010] + vX_[5906] * vX_[84] + vX_[5908] * vX_[73] + vX_[6326] * vX_[116] + vX_[5876];
+ vX_[5908] = 0 - vX_[6322];
+ vX_[5906] = vX_[5908] * vX_[60] * 1 / vX_[72];
+ vX_[5908] = vX_[6337] * vX_[1010] + vX_[6314] * vX_[84] + vX_[7909] * vX_[73] + vX_[6317] * vX_[116] +
+ vX_[5908] * vX_[112] + vX_[5906];
+ vX_[6317] = 0 - vX_[5908];
+ vX_[7909] = vX_[5633] * vX_[7] + vX_[2105] * vX_[52];
+ vX_[6314] = vX_[5633] * vX_[51] + vX_[2105] * vX_[7];
+ vX_[5209] = vX_[7909] * vX_[51] + vX_[6314] * vX_[7];
+ vX_[3581] = vX_[6322] + vX_[7909] * vX_[7];
+ vX_[5895] = vX_[6322] + vX_[6314] * vX_[51];
+ vX_[5906] = vX_[6324] + vX_[6322] + 0 - vX_[6332] * vX_[3895] - vX_[6333] * vX_[3907] - vX_[6334] * vX_[3985] +
+ vX_[6334] * vX_[1010] - vX_[6335] * vX_[4057] - vX_[6337] * vX_[815] - vX_[4255] * vX_[84] -
+ vX_[4317] * vX_[73] - vX_[5876] * vX_[116] - vX_[5906] * vX_[112] - vX_[3581] - vX_[5895];
+ vX_[5876] = 0 - vX_[5906];
+ vX_[6322] = vX_[6319] * vX_[7] + vX_[6316] * vX_[52];
+ vX_[6324] = vX_[6322] + vX_[5876] * vX_[57];
+ vX_[4317] = vX_[6319] * vX_[51] + vX_[6316] * vX_[7];
+ vX_[4255] = vX_[4317] + vX_[5906] * vX_[54];
+ vX_[6337] = 0 - vX_[5908];
+ vX_[6335] = 0 - vX_[5895];
+ jac[641] =
+ 0 -
+ (vX_[6330] * vX_[1985] + vX_[6331] * vX_[805] + vX_[6327] * vX_[984] + vX_[6336] * vX_[1987] +
+ vX_[3896] * vX_[99] + vX_[4291] * vX_[98] + vX_[6320] * -0.466187537174287 +
+ vX_[6484] * -0.00185880198235362 + vX_[6319] * vX_[64] + vX_[6316] * vX_[68] + vX_[6302] * vX_[78] +
+ vX_[2858] * vX_[50] + vX_[5869] * vX_[77] + vX_[1310] * vX_[53] +
+ (vX_[6302] * vX_[7] + vX_[5869] * vX_[51]) * 8.81e-05 +
+ (vX_[2858] * vX_[7] + vX_[1310] * vX_[52]) * -8.81e-05 + vX_[4301] * vX_[67] + vX_[1238] * vX_[63] +
+ vX_[5633] * vX_[110] + vX_[6326] * vX_[56] + vX_[5908] * vX_[59] + vX_[2105] * vX_[109] +
+ vX_[6317] * vX_[58] + vX_[6326] * vX_[55] + vX_[7909] * vX_[106] + vX_[6314] * vX_[108] +
+ (vX_[5209] * vX_[66] + vX_[5876] * vX_[61] + vX_[3581] * vX_[62] + (0 - vX_[6324]) * 0.414812462825713 +
+ (0 - (vX_[4301] * vX_[51] + vX_[1238] * vX_[7]) + vX_[6322] + vX_[3581] * vX_[57]) * 0.881 +
+ (0 - vX_[4255]) * -0.00185880198235362 +
+ (0 - (vX_[6317] * vX_[7] + vX_[6326] * vX_[52] + (vX_[6326] * vX_[51] + vX_[5908] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[5209] * -0.0004405 + vX_[3581] * -0.2209548) *
+ -0.35 +
+ vX_[8789] * vX_[4066] + vX_[6164] * vX_[4091] + vX_[5857] * vX_[4072] + vX_[5221] * vX_[4074] +
+ (vX_[6338] * vX_[1985] + vX_[8789] * vX_[4082]) * 0.35 + vX_[6374] * vX_[1006] + vX_[6342] * vX_[774] +
+ vX_[6377] * vX_[1017] + vX_[6346] * vX_[788] + vX_[939] * vX_[962] + vX_[6350] * vX_[802] +
+ vX_[4270] * vX_[769] + vX_[6353] * vX_[75] + vX_[6378] * vX_[1025] + vX_[6348] * vX_[796] +
+ vX_[6363] * vX_[966] + vX_[6328] * vX_[800] + vX_[6367] * vX_[981] + vX_[6289] * vX_[9] +
+ vX_[5878] * vX_[822] + vX_[6364] * vX_[971] + vX_[4302] * vX_[809] + vX_[4306] * vX_[869] +
+ vX_[4271] * vX_[886] + vX_[3872] * vX_[864] + vX_[6345] * vX_[907] + vX_[5861] * vX_[895] +
+ vX_[6049] * vX_[900] + vX_[3858] * vX_[861] + vX_[3846] * vX_[849] + vX_[921] * vX_[853] +
+ vX_[4757] * vX_[880] + vX_[3903] * vX_[883] + vX_[6601] * vX_[944] + vX_[5850] * vX_[931] +
+ vX_[6291] * vX_[938]) *
+ vX_[762] +
+ (vX_[6330] * vX_[805] + vX_[6327] * vX_[1987] + vX_[3896] * vX_[98] + vX_[6320] * -0.00185880198235362 +
+ vX_[6484] * -7.4114911576828e-06 + vX_[6319] * vX_[68] + vX_[2858] * vX_[53] + vX_[5869] * vX_[78] +
+ (vX_[6302] * vX_[52] + vX_[5869] * vX_[7]) * -8.81e-05 + vX_[4301] * vX_[63] + vX_[5633] * vX_[109] +
+ vX_[6326] * vX_[59] + vX_[6337] * vX_[55] + vX_[7909] * vX_[108] + vX_[6314] * vX_[107] +
+ vX_[6164] * vX_[4066] + vX_[5221] * vX_[4072] - (vX_[6331] * vX_[1985] + vX_[8789] * vX_[4091]) +
+ (vX_[6338] * vX_[805] + vX_[5906] * vX_[65] + vX_[6335] * vX_[66] + vX_[6324] * -0.00185880198235362 +
+ vX_[4255] * 0.880992588508842 +
+ (0 - (vX_[4301] * vX_[7] + vX_[1238] * vX_[52] + vX_[4317] + vX_[5209] * vX_[57] +
+ vX_[6335] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[6337] * vX_[51] + vX_[6326] * vX_[7]) + (vX_[6326] * vX_[7] + vX_[5908] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[5209]) * -0.1104774 + (0 - vX_[5895]) * -0.000881 + vX_[6164] * vX_[4082]) *
+ 0.35 -
+ (vX_[6336] * vX_[984] + vX_[4291] * vX_[99] + vX_[6316] * vX_[64] + vX_[6302] * vX_[77] +
+ vX_[1310] * vX_[50] + (vX_[2858] * vX_[51] + vX_[1310] * vX_[7]) * 8.81e-05 + vX_[1238] * vX_[67] +
+ vX_[5908] * vX_[56] + vX_[2105] * vX_[110] + vX_[6326] * vX_[58] + vX_[5857] * vX_[4074]) +
+ vX_[6340] * vX_[768] + vX_[6375] * vX_[1006] + vX_[6360] * vX_[955] + vX_[6377] * vX_[1014] +
+ vX_[6346] * vX_[785] + vX_[6362] * vX_[960] + vX_[6341] * vX_[800] + vX_[6366] * vX_[979] +
+ vX_[6359] * vX_[9] + vX_[6378] * vX_[1022] + vX_[6348] * vX_[793] + vX_[4311] * vX_[967] +
+ vX_[6351] * vX_[802] + vX_[4275] * vX_[769] + vX_[6354] * vX_[814] + vX_[6368] * vX_[820] +
+ vX_[6364] * vX_[973] + vX_[6379] * vX_[808] + vX_[5624] * vX_[867] + vX_[4271] * vX_[888] +
+ vX_[1764] * vX_[863] + vX_[6345] * vX_[905] + vX_[5861] * vX_[897] + vX_[6049] * vX_[901] +
+ vX_[4033] * vX_[859] + vX_[3843] * vX_[847] + vX_[921] * vX_[855] + vX_[1933] * vX_[879] +
+ vX_[4290] * vX_[882] + vX_[827] * vX_[942] + vX_[5850] * vX_[933] + vX_[6380] * vX_[808]) *
+ vX_[758];
+ vX_[6738] = vX_[3883] + vX_[6305] * vX_[76] + vX_[6738] * vX_[89] + vX_[6749] * vX_[3912];
+ vX_[6735] = vX_[3883] + vX_[3876] * vX_[4] + vX_[6735] * vX_[93] + vX_[6750] * vX_[3984];
+ vX_[3883] = vX_[6738] - vX_[6735];
+ vX_[6063] = vX_[6305] * vX_[4] + vX_[3876] * vX_[76] + vX_[6739] * vX_[93] + vX_[6063] * vX_[89] +
+ vX_[6749] * vX_[3984] + vX_[6750] * vX_[3912];
+ vX_[6739] = vX_[3883] * vX_[7] + vX_[6063] * vX_[52];
+ vX_[3876] = vX_[3883] * vX_[51] + vX_[6063] * vX_[7];
+ vX_[6738] = 0 - vX_[6738];
+ vX_[6305] = 0 - vX_[6063];
+ vX_[6298] =
+ vX_[6733] * vX_[76] + vX_[6043] * vX_[4] + vX_[6298] * vX_[89] + vX_[6749] * vX_[3966] + vX_[6746] * vX_[3912];
+ vX_[6335] = 0 - vX_[6298];
+ vX_[3901] =
+ vX_[6733] * vX_[4] + vX_[6043] * vX_[75] + vX_[3901] * vX_[89] + vX_[6749] * vX_[3968] + vX_[6755] * vX_[3912];
+ vX_[6733] = 0 - vX_[3901];
+ vX_[6043] = (vX_[6738] * vX_[83] + vX_[6305] * vX_[70] + vX_[6335] * vX_[79] + vX_[6733] * vX_[60]) * 1 / vX_[72];
+ vX_[6738] = vX_[6751] * vX_[1010] + vX_[6738] * vX_[84] + vX_[6043];
+ vX_[6735] = 0 - vX_[6735];
+ vX_[6721] =
+ vX_[6634] * vX_[76] + vX_[4873] * vX_[4] + vX_[6721] * vX_[93] + vX_[6750] * vX_[3966] + vX_[6746] * vX_[3984];
+ vX_[6337] = 0 - vX_[6721];
+ vX_[7806] =
+ vX_[6634] * vX_[4] + vX_[4873] * vX_[75] + vX_[7806] * vX_[93] + vX_[6750] * vX_[3968] + vX_[6755] * vX_[3984];
+ vX_[6634] = 0 - vX_[7806];
+ vX_[4873] = (vX_[6735] * vX_[70] + vX_[6337] * vX_[79] + vX_[6634] * vX_[60]) * 1 / vX_[72];
+ vX_[6735] = vX_[6752] * vX_[1010] + vX_[6305] * vX_[84] + vX_[6735] * vX_[73] + vX_[4873];
+ vX_[4411] = vX_[6736] + vX_[3890] * vX_[89] + vX_[4411] * vX_[93] * 2. + vX_[6745] * vX_[3968] - vX_[6735];
+ vX_[7934] = 0 - (vX_[3902] + vX_[7934] * vX_[93] + vX_[6743] * vX_[89] * 2. + vX_[6745] * vX_[3966]) + vX_[6738];
+ vX_[6743] = vX_[6743] + vX_[6746] * vX_[3966];
+ vX_[6741] = vX_[6741] + vX_[6755] * vX_[3968];
+ vX_[3902] = vX_[6743] - vX_[6741];
+ vX_[6745] = 0 - vX_[6743];
+ vX_[3890] = vX_[3890] + vX_[6746] * vX_[3968] + vX_[6755] * vX_[3966];
+ vX_[6736] = 0 - vX_[3890];
+ vX_[6305] = (vX_[6745] * vX_[79] + vX_[6736] * vX_[60]) * 1 / vX_[72];
+ vX_[6745] = vX_[6754] * vX_[1010] + vX_[6335] * vX_[84] + vX_[6337] * vX_[73] + vX_[6745] * vX_[116] + vX_[6305];
+ vX_[6337] = 0 - vX_[6741];
+ vX_[6335] = vX_[6337] * vX_[60] * 1 / vX_[72];
+ vX_[6337] = vX_[6756] * vX_[1010] + vX_[6733] * vX_[84] + vX_[6634] * vX_[73] + vX_[6736] * vX_[116] +
+ vX_[6337] * vX_[112] + vX_[6335];
+ vX_[6736] = 0 - vX_[6337];
+ vX_[6634] = vX_[3902] * vX_[7] + vX_[3890] * vX_[52];
+ vX_[6733] = vX_[3902] * vX_[51] + vX_[3890] * vX_[7];
+ vX_[4255] = vX_[6634] * vX_[51] + vX_[6733] * vX_[7];
+ vX_[4317] = vX_[6741] + vX_[6634] * vX_[7];
+ vX_[6324] = vX_[6741] + vX_[6733] * vX_[51];
+ vX_[6335] = vX_[6743] + vX_[6741] + 0 - vX_[6751] * vX_[3895] - vX_[6752] * vX_[3907] - vX_[6753] * vX_[3985] +
+ vX_[6753] * vX_[1010] - vX_[6754] * vX_[4057] - vX_[6756] * vX_[815] - vX_[6043] * vX_[84] -
+ vX_[4873] * vX_[73] - vX_[6305] * vX_[116] - vX_[6335] * vX_[112] - vX_[4317] - vX_[6324];
+ vX_[6305] = 0 - vX_[6335];
+ vX_[6741] = vX_[6738] * vX_[7] + vX_[6735] * vX_[52];
+ vX_[6743] = vX_[6741] + vX_[6305] * vX_[57];
+ vX_[4873] = vX_[6738] * vX_[51] + vX_[6735] * vX_[7];
+ vX_[6043] = vX_[4873] + vX_[6335] * vX_[54];
+ vX_[6756] = 0 - vX_[6337];
+ vX_[6754] = 0 - vX_[6324];
+ jac[642] =
+ 0 -
+ (vX_[6749] * vX_[1985] + vX_[6750] * vX_[805] + vX_[6746] * vX_[984] + vX_[6755] * vX_[1987] +
+ vX_[3883] * vX_[99] + vX_[6063] * vX_[98] + vX_[6739] * -0.466187537174287 +
+ vX_[3876] * -0.00185880198235362 + vX_[6738] * vX_[64] + vX_[6735] * vX_[68] + vX_[6721] * vX_[78] +
+ vX_[3901] * vX_[50] + vX_[6298] * vX_[77] + vX_[7806] * vX_[53] +
+ (vX_[6721] * vX_[7] + vX_[6298] * vX_[51]) * 8.81e-05 +
+ (vX_[3901] * vX_[7] + vX_[7806] * vX_[52]) * -8.81e-05 + vX_[4411] * vX_[67] + vX_[7934] * vX_[63] +
+ vX_[3902] * vX_[110] + vX_[6745] * vX_[56] + vX_[6337] * vX_[59] + vX_[3890] * vX_[109] +
+ vX_[6736] * vX_[58] + vX_[6745] * vX_[55] + vX_[6634] * vX_[106] + vX_[6733] * vX_[108] +
+ (vX_[4255] * vX_[66] + vX_[6305] * vX_[61] + vX_[4317] * vX_[62] + (0 - vX_[6743]) * 0.414812462825713 +
+ (0 - (vX_[4411] * vX_[51] + vX_[7934] * vX_[7]) + vX_[6741] + vX_[4317] * vX_[57]) * 0.881 +
+ (0 - vX_[6043]) * -0.00185880198235362 +
+ (0 - (vX_[6736] * vX_[7] + vX_[6745] * vX_[52] + (vX_[6745] * vX_[51] + vX_[6337] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[4255] * -0.0004405 + vX_[4317] * -0.2209548) *
+ -0.35 +
+ vX_[2776] * vX_[4066] + vX_[5420] * vX_[4091] + vX_[6286] * vX_[4072] + vX_[3874] * vX_[4074] +
+ (vX_[6757] * vX_[1985] + vX_[2776] * vX_[4082]) * 0.35 + vX_[6793] * vX_[1006] + vX_[6761] * vX_[774] +
+ vX_[6796] * vX_[1017] + vX_[6765] * vX_[788] + vX_[7899] * vX_[962] + vX_[6769] * vX_[802] +
+ vX_[6492] * vX_[769] + vX_[6772] * vX_[75] + vX_[6797] * vX_[1025] + vX_[6767] * vX_[796] +
+ vX_[6782] * vX_[966] + vX_[6747] * vX_[800] + vX_[6786] * vX_[981] + vX_[6708] * vX_[9] +
+ vX_[6307] * vX_[822] + vX_[6783] * vX_[971] + vX_[3863] * vX_[809] + vX_[3885] * vX_[869] +
+ vX_[3447] * vX_[886] + vX_[3882] * vX_[864] + vX_[6764] * vX_[907] + vX_[6290] * vX_[895] +
+ vX_[3450] * vX_[900] + vX_[3452] * vX_[861] + vX_[3050] * vX_[849] + vX_[7913] * vX_[853] +
+ vX_[6214] * vX_[880] + vX_[3877] * vX_[883] + vX_[7020] * vX_[944] + vX_[6498] * vX_[931] +
+ vX_[6710] * vX_[938]) *
+ vX_[762] +
+ (vX_[6749] * vX_[805] + vX_[6746] * vX_[1987] + vX_[3883] * vX_[98] + vX_[6739] * -0.00185880198235362 +
+ vX_[3876] * -7.4114911576828e-06 + vX_[6738] * vX_[68] + vX_[3901] * vX_[53] + vX_[6298] * vX_[78] +
+ (vX_[6721] * vX_[52] + vX_[6298] * vX_[7]) * -8.81e-05 + vX_[4411] * vX_[63] + vX_[3902] * vX_[109] +
+ vX_[6745] * vX_[59] + vX_[6756] * vX_[55] + vX_[6634] * vX_[108] + vX_[6733] * vX_[107] +
+ vX_[5420] * vX_[4066] + vX_[3874] * vX_[4072] - (vX_[6750] * vX_[1985] + vX_[2776] * vX_[4091]) +
+ (vX_[6757] * vX_[805] + vX_[6335] * vX_[65] + vX_[6754] * vX_[66] + vX_[6743] * -0.00185880198235362 +
+ vX_[6043] * 0.880992588508842 +
+ (0 - (vX_[4411] * vX_[7] + vX_[7934] * vX_[52] + vX_[4873] + vX_[4255] * vX_[57] +
+ vX_[6754] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[6756] * vX_[51] + vX_[6745] * vX_[7]) + (vX_[6745] * vX_[7] + vX_[6337] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[4255]) * -0.1104774 + (0 - vX_[6324]) * -0.000881 + vX_[5420] * vX_[4082]) *
+ 0.35 -
+ (vX_[6755] * vX_[984] + vX_[6063] * vX_[99] + vX_[6735] * vX_[64] + vX_[6721] * vX_[77] +
+ vX_[7806] * vX_[50] + (vX_[3901] * vX_[51] + vX_[7806] * vX_[7]) * 8.81e-05 + vX_[7934] * vX_[67] +
+ vX_[6337] * vX_[56] + vX_[3890] * vX_[110] + vX_[6745] * vX_[58] + vX_[6286] * vX_[4074]) +
+ vX_[6759] * vX_[768] + vX_[6794] * vX_[1006] + vX_[6779] * vX_[955] + vX_[6796] * vX_[1014] +
+ vX_[6765] * vX_[785] + vX_[6781] * vX_[960] + vX_[6760] * vX_[800] + vX_[6785] * vX_[979] +
+ vX_[6778] * vX_[9] + vX_[6797] * vX_[1022] + vX_[6767] * vX_[793] + vX_[4298] * vX_[967] +
+ vX_[6770] * vX_[802] + vX_[6488] * vX_[769] + vX_[6773] * vX_[814] + vX_[6787] * vX_[820] +
+ vX_[6783] * vX_[973] + vX_[6798] * vX_[808] + vX_[3871] * vX_[867] + vX_[3447] * vX_[888] +
+ vX_[1150] * vX_[863] + vX_[6764] * vX_[905] + vX_[6290] * vX_[897] + vX_[3450] * vX_[901] +
+ vX_[2130] * vX_[859] + vX_[3453] * vX_[847] + vX_[7913] * vX_[855] + vX_[1227] * vX_[879] +
+ vX_[6048] * vX_[882] + vX_[9065] * vX_[942] + vX_[6498] * vX_[933] + vX_[6799] * vX_[808]) *
+ vX_[758];
+ vX_[7165] = vX_[7435] + vX_[6724] * vX_[76] + vX_[7165] * vX_[89] + vX_[7176] * vX_[3912];
+ vX_[7162] = vX_[7435] + vX_[6505] * vX_[4] + vX_[7162] * vX_[93] + vX_[7177] * vX_[3984];
+ vX_[7435] = vX_[7165] - vX_[7162];
+ vX_[3493] = vX_[6724] * vX_[4] + vX_[6505] * vX_[76] + vX_[7166] * vX_[93] + vX_[3493] * vX_[89] +
+ vX_[7176] * vX_[3984] + vX_[7177] * vX_[3912];
+ vX_[7166] = vX_[7435] * vX_[7] + vX_[3493] * vX_[52];
+ vX_[6505] = vX_[7435] * vX_[51] + vX_[3493] * vX_[7];
+ vX_[7165] = 0 - vX_[7165];
+ vX_[6724] = 0 - vX_[3493];
+ vX_[6717] =
+ vX_[7160] * vX_[76] + vX_[3491] * vX_[4] + vX_[6717] * vX_[89] + vX_[7176] * vX_[3966] + vX_[7173] * vX_[3912];
+ vX_[6754] = 0 - vX_[6717];
+ vX_[8551] =
+ vX_[7160] * vX_[4] + vX_[3491] * vX_[75] + vX_[8551] * vX_[89] + vX_[7176] * vX_[3968] + vX_[7182] * vX_[3912];
+ vX_[7160] = 0 - vX_[8551];
+ vX_[3491] = (vX_[7165] * vX_[83] + vX_[6724] * vX_[70] + vX_[6754] * vX_[79] + vX_[7160] * vX_[60]) * 1 / vX_[72];
+ vX_[7165] = vX_[7178] * vX_[1010] + vX_[7165] * vX_[84] + vX_[3491];
+ vX_[7162] = 0 - vX_[7162];
+ vX_[7148] =
+ vX_[5367] * vX_[76] + vX_[3229] * vX_[4] + vX_[7148] * vX_[93] + vX_[7177] * vX_[3966] + vX_[7173] * vX_[3984];
+ vX_[6756] = 0 - vX_[7148];
+ vX_[6531] =
+ vX_[5367] * vX_[4] + vX_[3229] * vX_[75] + vX_[6531] * vX_[93] + vX_[7177] * vX_[3968] + vX_[7182] * vX_[3984];
+ vX_[5367] = 0 - vX_[6531];
+ vX_[3229] = (vX_[7162] * vX_[70] + vX_[6756] * vX_[79] + vX_[5367] * vX_[60]) * 1 / vX_[72];
+ vX_[7162] = vX_[7179] * vX_[1010] + vX_[6724] * vX_[84] + vX_[7162] * vX_[73] + vX_[3229];
+ vX_[3461] = vX_[7163] + vX_[6463] * vX_[89] + vX_[3461] * vX_[93] * 2. + vX_[7172] * vX_[3968] - vX_[7162];
+ vX_[6659] = 0 - (vX_[7944] + vX_[6659] * vX_[93] + vX_[7170] * vX_[89] * 2. + vX_[7172] * vX_[3966]) + vX_[7165];
+ vX_[7170] = vX_[7170] + vX_[7173] * vX_[3966];
+ vX_[7168] = vX_[7168] + vX_[7182] * vX_[3968];
+ vX_[7944] = vX_[7170] - vX_[7168];
+ vX_[7172] = 0 - vX_[7170];
+ vX_[6463] = vX_[6463] + vX_[7173] * vX_[3968] + vX_[7182] * vX_[3966];
+ vX_[7163] = 0 - vX_[6463];
+ vX_[6724] = (vX_[7172] * vX_[79] + vX_[7163] * vX_[60]) * 1 / vX_[72];
+ vX_[7172] = vX_[7181] * vX_[1010] + vX_[6754] * vX_[84] + vX_[6756] * vX_[73] + vX_[7172] * vX_[116] + vX_[6724];
+ vX_[6756] = 0 - vX_[7168];
+ vX_[6754] = vX_[6756] * vX_[60] * 1 / vX_[72];
+ vX_[6756] = vX_[7183] * vX_[1010] + vX_[7160] * vX_[84] + vX_[5367] * vX_[73] + vX_[7163] * vX_[116] +
+ vX_[6756] * vX_[112] + vX_[6754];
+ vX_[7163] = 0 - vX_[6756];
+ vX_[5367] = vX_[7944] * vX_[7] + vX_[6463] * vX_[52];
+ vX_[7160] = vX_[7944] * vX_[51] + vX_[6463] * vX_[7];
+ vX_[6043] = vX_[5367] * vX_[51] + vX_[7160] * vX_[7];
+ vX_[4873] = vX_[7168] + vX_[5367] * vX_[7];
+ vX_[6743] = vX_[7168] + vX_[7160] * vX_[51];
+ vX_[6754] = vX_[7170] + vX_[7168] + 0 - vX_[7178] * vX_[3895] - vX_[7179] * vX_[3907] - vX_[7180] * vX_[3985] +
+ vX_[7180] * vX_[1010] - vX_[7181] * vX_[4057] - vX_[7183] * vX_[815] - vX_[3491] * vX_[84] -
+ vX_[3229] * vX_[73] - vX_[6724] * vX_[116] - vX_[6754] * vX_[112] - vX_[4873] - vX_[6743];
+ vX_[6724] = 0 - vX_[6754];
+ vX_[7168] = vX_[7165] * vX_[7] + vX_[7162] * vX_[52];
+ vX_[7170] = vX_[7168] + vX_[6724] * vX_[57];
+ vX_[3229] = vX_[7165] * vX_[51] + vX_[7162] * vX_[7];
+ vX_[3491] = vX_[3229] + vX_[6754] * vX_[54];
+ vX_[7183] = 0 - vX_[6756];
+ vX_[7181] = 0 - vX_[6743];
+ jac[643] =
+ 0 -
+ (vX_[7176] * vX_[1985] + vX_[7177] * vX_[805] + vX_[7173] * vX_[984] + vX_[7182] * vX_[1987] +
+ vX_[7435] * vX_[99] + vX_[3493] * vX_[98] + vX_[7166] * -0.466187537174287 +
+ vX_[6505] * -0.00185880198235362 + vX_[7165] * vX_[64] + vX_[7162] * vX_[68] + vX_[7148] * vX_[78] +
+ vX_[8551] * vX_[50] + vX_[6717] * vX_[77] + vX_[6531] * vX_[53] +
+ (vX_[7148] * vX_[7] + vX_[6717] * vX_[51]) * 8.81e-05 +
+ (vX_[8551] * vX_[7] + vX_[6531] * vX_[52]) * -8.81e-05 + vX_[3461] * vX_[67] + vX_[6659] * vX_[63] +
+ vX_[7944] * vX_[110] + vX_[7172] * vX_[56] + vX_[6756] * vX_[59] + vX_[6463] * vX_[109] +
+ vX_[7163] * vX_[58] + vX_[7172] * vX_[55] + vX_[5367] * vX_[106] + vX_[7160] * vX_[108] +
+ (vX_[6043] * vX_[66] + vX_[6724] * vX_[61] + vX_[4873] * vX_[62] + (0 - vX_[7170]) * 0.414812462825713 +
+ (0 - (vX_[3461] * vX_[51] + vX_[6659] * vX_[7]) + vX_[7168] + vX_[4873] * vX_[57]) * 0.881 +
+ (0 - vX_[3491]) * -0.00185880198235362 +
+ (0 - (vX_[7163] * vX_[7] + vX_[7172] * vX_[52] + (vX_[7172] * vX_[51] + vX_[6756] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[6043] * -0.0004405 + vX_[4873] * -0.2209548) *
+ -0.35 +
+ vX_[7470] * vX_[4066] + vX_[3875] * vX_[4091] + vX_[6705] * vX_[4072] + vX_[3502] * vX_[4074] +
+ (vX_[7184] * vX_[1985] + vX_[7470] * vX_[4082]) * 0.35 + vX_[7220] * vX_[1006] + vX_[7188] * vX_[774] +
+ vX_[7223] * vX_[1017] + vX_[7192] * vX_[788] + vX_[6640] * vX_[962] + vX_[7196] * vX_[802] +
+ vX_[7749] * vX_[769] + vX_[7199] * vX_[75] + vX_[7224] * vX_[1025] + vX_[7194] * vX_[796] +
+ vX_[7209] * vX_[966] + vX_[7174] * vX_[800] + vX_[7213] * vX_[981] + vX_[7135] * vX_[9] +
+ vX_[6726] * vX_[822] + vX_[7210] * vX_[971] + vX_[7471] * vX_[809] + vX_[3459] * vX_[869] +
+ vX_[3047] * vX_[886] + vX_[3235] * vX_[864] + vX_[7191] * vX_[907] + vX_[6709] * vX_[895] +
+ vX_[2623] * vX_[900] + vX_[2808] * vX_[861] + vX_[2674] * vX_[849] + vX_[6638] * vX_[853] +
+ vX_[3490] * vX_[880] + vX_[2758] * vX_[883] + vX_[7447] * vX_[944] + vX_[3038] * vX_[931] +
+ vX_[7137] * vX_[938]) *
+ vX_[762] +
+ (vX_[7176] * vX_[805] + vX_[7173] * vX_[1987] + vX_[7435] * vX_[98] + vX_[7166] * -0.00185880198235362 +
+ vX_[6505] * -7.4114911576828e-06 + vX_[7165] * vX_[68] + vX_[8551] * vX_[53] + vX_[6717] * vX_[78] +
+ (vX_[7148] * vX_[52] + vX_[6717] * vX_[7]) * -8.81e-05 + vX_[3461] * vX_[63] + vX_[7944] * vX_[109] +
+ vX_[7172] * vX_[59] + vX_[7183] * vX_[55] + vX_[5367] * vX_[108] + vX_[7160] * vX_[107] +
+ vX_[3875] * vX_[4066] + vX_[3502] * vX_[4072] - (vX_[7177] * vX_[1985] + vX_[7470] * vX_[4091]) +
+ (vX_[7184] * vX_[805] + vX_[6754] * vX_[65] + vX_[7181] * vX_[66] + vX_[7170] * -0.00185880198235362 +
+ vX_[3491] * 0.880992588508842 +
+ (0 - (vX_[3461] * vX_[7] + vX_[6659] * vX_[52] + vX_[3229] + vX_[6043] * vX_[57] +
+ vX_[7181] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[7183] * vX_[51] + vX_[7172] * vX_[7]) + (vX_[7172] * vX_[7] + vX_[6756] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[6043]) * -0.1104774 + (0 - vX_[6743]) * -0.000881 + vX_[3875] * vX_[4082]) *
+ 0.35 -
+ (vX_[7182] * vX_[984] + vX_[3493] * vX_[99] + vX_[7162] * vX_[64] + vX_[7148] * vX_[77] +
+ vX_[6531] * vX_[50] + (vX_[8551] * vX_[51] + vX_[6531] * vX_[7]) * 8.81e-05 + vX_[6659] * vX_[67] +
+ vX_[6756] * vX_[56] + vX_[6463] * vX_[110] + vX_[7172] * vX_[58] + vX_[6705] * vX_[4074]) +
+ vX_[7186] * vX_[768] + vX_[7221] * vX_[1006] + vX_[7206] * vX_[955] + vX_[7223] * vX_[1014] +
+ vX_[7192] * vX_[785] + vX_[7208] * vX_[960] + vX_[7187] * vX_[800] + vX_[7212] * vX_[979] +
+ vX_[7205] * vX_[9] + vX_[7224] * vX_[1022] + vX_[7194] * vX_[793] + vX_[6058] * vX_[967] +
+ vX_[7197] * vX_[802] + vX_[3044] * vX_[769] + vX_[7200] * vX_[814] + vX_[7214] * vX_[820] +
+ vX_[7210] * vX_[973] + vX_[7225] * vX_[808] + vX_[8742] * vX_[867] + vX_[3047] * vX_[888] +
+ vX_[7900] * vX_[863] + vX_[7191] * vX_[905] + vX_[6709] * vX_[897] + vX_[2623] * vX_[901] +
+ vX_[8281] * vX_[859] + vX_[7094] * vX_[847] + vX_[6638] * vX_[855] + vX_[7928] * vX_[879] +
+ vX_[6525] * vX_[882] + vX_[7804] * vX_[942] + vX_[3038] * vX_[933] + vX_[7226] * vX_[808]) *
+ vX_[758];
+ vX_[7592] = vX_[7343] + vX_[7151] * vX_[76] + vX_[7592] * vX_[89] + vX_[7603] * vX_[3912];
+ vX_[7589] = vX_[7343] + vX_[3087] * vX_[4] + vX_[7589] * vX_[93] + vX_[7604] * vX_[3984];
+ vX_[7343] = vX_[7592] - vX_[7589];
+ vX_[7753] = vX_[7151] * vX_[4] + vX_[3087] * vX_[76] + vX_[7593] * vX_[93] + vX_[7753] * vX_[89] +
+ vX_[7603] * vX_[3984] + vX_[7604] * vX_[3912];
+ vX_[7593] = vX_[7343] * vX_[7] + vX_[7753] * vX_[52];
+ vX_[3087] = vX_[7343] * vX_[51] + vX_[7753] * vX_[7];
+ vX_[7592] = 0 - vX_[7592];
+ vX_[7151] = 0 - vX_[7753];
+ vX_[7144] =
+ vX_[7587] * vX_[76] + vX_[3061] * vX_[4] + vX_[7144] * vX_[89] + vX_[7603] * vX_[3966] + vX_[7600] * vX_[3912];
+ vX_[7181] = 0 - vX_[7144];
+ vX_[3072] =
+ vX_[7587] * vX_[4] + vX_[3061] * vX_[75] + vX_[3072] * vX_[89] + vX_[7603] * vX_[3968] + vX_[7609] * vX_[3912];
+ vX_[7587] = 0 - vX_[3072];
+ vX_[3061] = (vX_[7592] * vX_[83] + vX_[7151] * vX_[70] + vX_[7181] * vX_[79] + vX_[7587] * vX_[60]) * 1 / vX_[72];
+ vX_[7592] = vX_[7605] * vX_[1010] + vX_[7592] * vX_[84] + vX_[3061];
+ vX_[7589] = 0 - vX_[7589];
+ vX_[7575] =
+ vX_[2851] * vX_[76] + vX_[602] * vX_[4] + vX_[7575] * vX_[93] + vX_[7604] * vX_[3966] + vX_[7600] * vX_[3984];
+ vX_[7183] = 0 - vX_[7575];
+ vX_[5329] =
+ vX_[2851] * vX_[4] + vX_[602] * vX_[75] + vX_[5329] * vX_[93] + vX_[7604] * vX_[3968] + vX_[7609] * vX_[3984];
+ vX_[2851] = 0 - vX_[5329];
+ vX_[602] = (vX_[7589] * vX_[70] + vX_[7183] * vX_[79] + vX_[2851] * vX_[60]) * 1 / vX_[72];
+ vX_[7589] = vX_[7606] * vX_[1010] + vX_[7151] * vX_[84] + vX_[7589] * vX_[73] + vX_[602];
+ vX_[2632] = vX_[7590] + vX_[3060] * vX_[89] + vX_[2632] * vX_[93] * 2. + vX_[7599] * vX_[3968] - vX_[7589];
+ vX_[5371] = 0 - (vX_[7338] + vX_[5371] * vX_[93] + vX_[7597] * vX_[89] * 2. + vX_[7599] * vX_[3966]) + vX_[7592];
+ vX_[7597] = vX_[7597] + vX_[7600] * vX_[3966];
+ vX_[7595] = vX_[7595] + vX_[7609] * vX_[3968];
+ vX_[7338] = vX_[7597] - vX_[7595];
+ vX_[7599] = 0 - vX_[7597];
+ vX_[3060] = vX_[3060] + vX_[7600] * vX_[3968] + vX_[7609] * vX_[3966];
+ vX_[7590] = 0 - vX_[3060];
+ vX_[7151] = (vX_[7599] * vX_[79] + vX_[7590] * vX_[60]) * 1 / vX_[72];
+ vX_[7599] = vX_[7608] * vX_[1010] + vX_[7181] * vX_[84] + vX_[7183] * vX_[73] + vX_[7599] * vX_[116] + vX_[7151];
+ vX_[7183] = 0 - vX_[7595];
+ vX_[7181] = vX_[7183] * vX_[60] * 1 / vX_[72];
+ vX_[7183] = vX_[7610] * vX_[1010] + vX_[7587] * vX_[84] + vX_[2851] * vX_[73] + vX_[7590] * vX_[116] +
+ vX_[7183] * vX_[112] + vX_[7181];
+ vX_[7590] = 0 - vX_[7183];
+ vX_[2851] = vX_[7338] * vX_[7] + vX_[3060] * vX_[52];
+ vX_[7587] = vX_[7338] * vX_[51] + vX_[3060] * vX_[7];
+ vX_[3491] = vX_[2851] * vX_[51] + vX_[7587] * vX_[7];
+ vX_[3229] = vX_[7595] + vX_[2851] * vX_[7];
+ vX_[7170] = vX_[7595] + vX_[7587] * vX_[51];
+ vX_[7181] = vX_[7597] + vX_[7595] + 0 - vX_[7605] * vX_[3895] - vX_[7606] * vX_[3907] - vX_[7607] * vX_[3985] +
+ vX_[7607] * vX_[1010] - vX_[7608] * vX_[4057] - vX_[7610] * vX_[815] - vX_[3061] * vX_[84] -
+ vX_[602] * vX_[73] - vX_[7151] * vX_[116] - vX_[7181] * vX_[112] - vX_[3229] - vX_[7170];
+ vX_[7151] = 0 - vX_[7181];
+ vX_[7595] = vX_[7592] * vX_[7] + vX_[7589] * vX_[52];
+ vX_[7597] = vX_[7595] + vX_[7151] * vX_[57];
+ vX_[602] = vX_[7592] * vX_[51] + vX_[7589] * vX_[7];
+ vX_[3061] = vX_[602] + vX_[7181] * vX_[54];
+ vX_[7610] = 0 - vX_[7183];
+ vX_[7608] = 0 - vX_[7170];
+ jac[644] =
+ 0 -
+ (vX_[7603] * vX_[1985] + vX_[7604] * vX_[805] + vX_[7600] * vX_[984] + vX_[7609] * vX_[1987] +
+ vX_[7343] * vX_[99] + vX_[7753] * vX_[98] + vX_[7593] * -0.466187537174287 +
+ vX_[3087] * -0.00185880198235362 + vX_[7592] * vX_[64] + vX_[7589] * vX_[68] + vX_[7575] * vX_[78] +
+ vX_[3072] * vX_[50] + vX_[7144] * vX_[77] + vX_[5329] * vX_[53] +
+ (vX_[7575] * vX_[7] + vX_[7144] * vX_[51]) * 8.81e-05 +
+ (vX_[3072] * vX_[7] + vX_[5329] * vX_[52]) * -8.81e-05 + vX_[2632] * vX_[67] + vX_[5371] * vX_[63] +
+ vX_[7338] * vX_[110] + vX_[7599] * vX_[56] + vX_[7183] * vX_[59] + vX_[3060] * vX_[109] +
+ vX_[7590] * vX_[58] + vX_[7599] * vX_[55] + vX_[2851] * vX_[106] + vX_[7587] * vX_[108] +
+ (vX_[3491] * vX_[66] + vX_[7151] * vX_[61] + vX_[3229] * vX_[62] + (0 - vX_[7597]) * 0.414812462825713 +
+ (0 - (vX_[2632] * vX_[51] + vX_[5371] * vX_[7]) + vX_[7595] + vX_[3229] * vX_[57]) * 0.881 +
+ (0 - vX_[3061]) * -0.00185880198235362 +
+ (0 - (vX_[7590] * vX_[7] + vX_[7599] * vX_[52] + (vX_[7599] * vX_[51] + vX_[7183] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[3491] * -0.0004405 + vX_[3229] * -0.2209548) *
+ -0.35 +
+ vX_[3506] * vX_[4066] + vX_[6510] * vX_[4091] + vX_[7132] * vX_[4072] + vX_[3052] * vX_[4074] +
+ (vX_[7611] * vX_[1985] + vX_[3506] * vX_[4082]) * 0.35 + vX_[7647] * vX_[1006] + vX_[7615] * vX_[774] +
+ vX_[7650] * vX_[1017] + vX_[7619] * vX_[788] + vX_[5361] * vX_[962] + vX_[7623] * vX_[802] +
+ vX_[538] * vX_[769] + vX_[7626] * vX_[75] + vX_[7651] * vX_[1025] + vX_[7621] * vX_[796] +
+ vX_[7636] * vX_[966] + vX_[7601] * vX_[800] + vX_[7640] * vX_[981] + vX_[7562] * vX_[9] +
+ vX_[7153] * vX_[822] + vX_[7637] * vX_[971] + vX_[3069] * vX_[809] + vX_[7794] * vX_[869] +
+ vX_[1723] * vX_[886] + vX_[3098] * vX_[864] + vX_[7618] * vX_[907] + vX_[7136] * vX_[895] +
+ vX_[2274] * vX_[900] + vX_[2243] * vX_[861] + vX_[2648] * vX_[849] + vX_[5350] * vX_[853] +
+ vX_[7345] * vX_[880] + vX_[3099] * vX_[883] + vX_[7874] * vX_[944] + vX_[7797] * vX_[931] +
+ vX_[7564] * vX_[938]) *
+ vX_[762] +
+ (vX_[7603] * vX_[805] + vX_[7600] * vX_[1987] + vX_[7343] * vX_[98] + vX_[7593] * -0.00185880198235362 +
+ vX_[3087] * -7.4114911576828e-06 + vX_[7592] * vX_[68] + vX_[3072] * vX_[53] + vX_[7144] * vX_[78] +
+ (vX_[7575] * vX_[52] + vX_[7144] * vX_[7]) * -8.81e-05 + vX_[2632] * vX_[63] + vX_[7338] * vX_[109] +
+ vX_[7599] * vX_[59] + vX_[7610] * vX_[55] + vX_[2851] * vX_[108] + vX_[7587] * vX_[107] +
+ vX_[6510] * vX_[4066] + vX_[3052] * vX_[4072] - (vX_[7604] * vX_[1985] + vX_[3506] * vX_[4091]) +
+ (vX_[7611] * vX_[805] + vX_[7181] * vX_[65] + vX_[7608] * vX_[66] + vX_[7597] * -0.00185880198235362 +
+ vX_[3061] * 0.880992588508842 +
+ (0 -
+ (vX_[2632] * vX_[7] + vX_[5371] * vX_[52] + vX_[602] + vX_[3491] * vX_[57] + vX_[7608] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[7610] * vX_[51] + vX_[7599] * vX_[7]) + (vX_[7599] * vX_[7] + vX_[7183] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[3491]) * -0.1104774 + (0 - vX_[7170]) * -0.000881 + vX_[6510] * vX_[4082]) *
+ 0.35 -
+ (vX_[7609] * vX_[984] + vX_[7753] * vX_[99] + vX_[7589] * vX_[64] + vX_[7575] * vX_[77] +
+ vX_[5329] * vX_[50] + (vX_[3072] * vX_[51] + vX_[5329] * vX_[7]) * 8.81e-05 + vX_[5371] * vX_[67] +
+ vX_[7183] * vX_[56] + vX_[3060] * vX_[110] + vX_[7599] * vX_[58] + vX_[7132] * vX_[4074]) +
+ vX_[7613] * vX_[768] + vX_[7648] * vX_[1006] + vX_[7633] * vX_[955] + vX_[7650] * vX_[1014] +
+ vX_[7619] * vX_[785] + vX_[7635] * vX_[960] + vX_[7614] * vX_[800] + vX_[7639] * vX_[979] +
+ vX_[7632] * vX_[9] + vX_[7651] * vX_[1022] + vX_[7621] * vX_[793] + vX_[6671] * vX_[967] +
+ vX_[7624] * vX_[802] + vX_[2223] * vX_[769] + vX_[7627] * vX_[814] + vX_[7641] * vX_[820] +
+ vX_[7637] * vX_[973] + vX_[7652] * vX_[808] + vX_[3054] * vX_[867] + vX_[1723] * vX_[888] +
+ vX_[6647] * vX_[863] + vX_[7618] * vX_[905] + vX_[7136] * vX_[897] + vX_[2274] * vX_[901] +
+ vX_[340] * vX_[859] + vX_[2612] * vX_[847] + vX_[5350] * vX_[855] + vX_[6665] * vX_[879] +
+ vX_[3276] * vX_[882] + vX_[6606] * vX_[942] + vX_[7797] * vX_[933] + vX_[7653] * vX_[808]) *
+ vX_[758];
+ vX_[8011] = vX_[3674] + vX_[7578] * vX_[76] + vX_[8011] * vX_[89] + vX_[8022] * vX_[3912];
+ vX_[8008] = vX_[3674] + vX_[8687] * vX_[4] + vX_[8008] * vX_[93] + vX_[8023] * vX_[3984];
+ vX_[3674] = vX_[8011] - vX_[8008];
+ vX_[7968] = vX_[7578] * vX_[4] + vX_[8687] * vX_[76] + vX_[8012] * vX_[93] + vX_[7968] * vX_[89] +
+ vX_[8022] * vX_[3984] + vX_[8023] * vX_[3912];
+ vX_[8012] = vX_[3674] * vX_[7] + vX_[7968] * vX_[52];
+ vX_[8687] = vX_[3674] * vX_[51] + vX_[7968] * vX_[7];
+ vX_[8011] = 0 - vX_[8011];
+ vX_[7578] = 0 - vX_[7968];
+ vX_[2639] =
+ vX_[7976] * vX_[76] + vX_[1950] * vX_[4] + vX_[2639] * vX_[89] + vX_[8022] * vX_[3966] + vX_[8019] * vX_[3912];
+ vX_[7608] = 0 - vX_[2639];
+ vX_[7994] =
+ vX_[7976] * vX_[4] + vX_[1950] * vX_[75] + vX_[7994] * vX_[89] + vX_[8022] * vX_[3968] + vX_[8028] * vX_[3912];
+ vX_[7976] = 0 - vX_[7994];
+ vX_[1950] = (vX_[8011] * vX_[83] + vX_[7578] * vX_[70] + vX_[7608] * vX_[79] + vX_[7976] * vX_[60]) * 1 / vX_[72];
+ vX_[8011] = vX_[8024] * vX_[1010] + vX_[8011] * vX_[84] + vX_[1950];
+ vX_[8008] = 0 - vX_[8008];
+ vX_[7963] =
+ vX_[8006] * vX_[76] + vX_[7966] * vX_[4] + vX_[7963] * vX_[93] + vX_[8023] * vX_[3966] + vX_[8019] * vX_[3984];
+ vX_[7610] = 0 - vX_[7963];
+ vX_[5604] =
+ vX_[8006] * vX_[4] + vX_[7966] * vX_[75] + vX_[5604] * vX_[93] + vX_[8023] * vX_[3968] + vX_[8028] * vX_[3984];
+ vX_[8006] = 0 - vX_[5604];
+ vX_[7966] = (vX_[8008] * vX_[70] + vX_[7610] * vX_[79] + vX_[8006] * vX_[60]) * 1 / vX_[72];
+ vX_[8008] = vX_[8025] * vX_[1010] + vX_[7578] * vX_[84] + vX_[8008] * vX_[73] + vX_[7966];
+ vX_[5374] = vX_[8009] + vX_[2644] * vX_[89] + vX_[5374] * vX_[93] * 2. + vX_[8018] * vX_[3968] - vX_[8008];
+ vX_[5384] = 0 - (vX_[8164] + vX_[5384] * vX_[93] + vX_[8016] * vX_[89] * 2. + vX_[8018] * vX_[3966]) + vX_[8011];
+ vX_[8016] = vX_[8016] + vX_[8019] * vX_[3966];
+ vX_[8014] = vX_[8014] + vX_[8028] * vX_[3968];
+ vX_[8164] = vX_[8016] - vX_[8014];
+ vX_[8018] = 0 - vX_[8016];
+ vX_[2644] = vX_[2644] + vX_[8019] * vX_[3968] + vX_[8028] * vX_[3966];
+ vX_[8009] = 0 - vX_[2644];
+ vX_[7578] = (vX_[8018] * vX_[79] + vX_[8009] * vX_[60]) * 1 / vX_[72];
+ vX_[8018] = vX_[8027] * vX_[1010] + vX_[7608] * vX_[84] + vX_[7610] * vX_[73] + vX_[8018] * vX_[116] + vX_[7578];
+ vX_[7610] = 0 - vX_[8014];
+ vX_[7608] = vX_[7610] * vX_[60] * 1 / vX_[72];
+ vX_[7610] = vX_[8029] * vX_[1010] + vX_[7976] * vX_[84] + vX_[8006] * vX_[73] + vX_[8009] * vX_[116] +
+ vX_[7610] * vX_[112] + vX_[7608];
+ vX_[8009] = 0 - vX_[7610];
+ vX_[8006] = vX_[8164] * vX_[7] + vX_[2644] * vX_[52];
+ vX_[7976] = vX_[8164] * vX_[51] + vX_[2644] * vX_[7];
+ vX_[3061] = vX_[8006] * vX_[51] + vX_[7976] * vX_[7];
+ vX_[602] = vX_[8014] + vX_[8006] * vX_[7];
+ vX_[7597] = vX_[8014] + vX_[7976] * vX_[51];
+ vX_[7608] = vX_[8016] + vX_[8014] + 0 - vX_[8024] * vX_[3895] - vX_[8025] * vX_[3907] - vX_[8026] * vX_[3985] +
+ vX_[8026] * vX_[1010] - vX_[8027] * vX_[4057] - vX_[8029] * vX_[815] - vX_[1950] * vX_[84] -
+ vX_[7966] * vX_[73] - vX_[7578] * vX_[116] - vX_[7608] * vX_[112] - vX_[602] - vX_[7597];
+ vX_[7578] = 0 - vX_[7608];
+ vX_[8014] = vX_[8011] * vX_[7] + vX_[8008] * vX_[52];
+ vX_[8016] = vX_[8014] + vX_[7578] * vX_[57];
+ vX_[7966] = vX_[8011] * vX_[51] + vX_[8008] * vX_[7];
+ vX_[1950] = vX_[7966] + vX_[7608] * vX_[54];
+ vX_[8029] = 0 - vX_[7610];
+ vX_[8027] = 0 - vX_[7597];
+ jac[645] =
+ 0 -
+ (vX_[8022] * vX_[1985] + vX_[8023] * vX_[805] + vX_[8019] * vX_[984] + vX_[8028] * vX_[1987] +
+ vX_[3674] * vX_[99] + vX_[7968] * vX_[98] + vX_[8012] * -0.466187537174287 +
+ vX_[8687] * -0.00185880198235362 + vX_[8011] * vX_[64] + vX_[8008] * vX_[68] + vX_[7963] * vX_[78] +
+ vX_[7994] * vX_[50] + vX_[2639] * vX_[77] + vX_[5604] * vX_[53] +
+ (vX_[7963] * vX_[7] + vX_[2639] * vX_[51]) * 8.81e-05 +
+ (vX_[7994] * vX_[7] + vX_[5604] * vX_[52]) * -8.81e-05 + vX_[5374] * vX_[67] + vX_[5384] * vX_[63] +
+ vX_[8164] * vX_[110] + vX_[8018] * vX_[56] + vX_[7610] * vX_[59] + vX_[2644] * vX_[109] +
+ vX_[8009] * vX_[58] + vX_[8018] * vX_[55] + vX_[8006] * vX_[106] + vX_[7976] * vX_[108] +
+ (vX_[3061] * vX_[66] + vX_[7578] * vX_[61] + vX_[602] * vX_[62] + (0 - vX_[8016]) * 0.414812462825713 +
+ (0 - (vX_[5374] * vX_[51] + vX_[5384] * vX_[7]) + vX_[8014] + vX_[602] * vX_[57]) * 0.881 +
+ (0 - vX_[1950]) * -0.00185880198235362 +
+ (0 - (vX_[8009] * vX_[7] + vX_[8018] * vX_[52] + (vX_[8018] * vX_[51] + vX_[7610] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[3061] * -0.0004405 + vX_[602] * -0.2209548) *
+ -0.35 +
+ vX_[7325] * vX_[4066] + vX_[7366] * vX_[4091] + vX_[7559] * vX_[4072] + vX_[9302] * vX_[4074] +
+ (vX_[8030] * vX_[1985] + vX_[7325] * vX_[4082]) * 0.35 + vX_[8066] * vX_[1006] + vX_[8034] * vX_[774] +
+ vX_[8069] * vX_[1017] + vX_[8038] * vX_[788] + vX_[2848] * vX_[962] + vX_[8042] * vX_[802] +
+ vX_[8646] * vX_[769] + vX_[8045] * vX_[75] + vX_[8070] * vX_[1025] + vX_[8040] * vX_[796] +
+ vX_[8055] * vX_[966] + vX_[8020] * vX_[800] + vX_[8059] * vX_[981] + vX_[2628] * vX_[9] +
+ vX_[7580] * vX_[822] + vX_[8056] * vX_[971] + vX_[2662] * vX_[809] + vX_[301] * vX_[869] +
+ vX_[2212] * vX_[886] + vX_[4013] * vX_[864] + vX_[8037] * vX_[907] + vX_[7563] * vX_[895] +
+ vX_[2248] * vX_[900] + vX_[2253] * vX_[861] + vX_[8597] * vX_[849] + vX_[2868] * vX_[853] +
+ vX_[2626] * vX_[880] + vX_[7972] * vX_[883] + vX_[8293] * vX_[944] + vX_[2258] * vX_[931] +
+ vX_[8696] * vX_[938]) *
+ vX_[762] +
+ (vX_[8022] * vX_[805] + vX_[8019] * vX_[1987] + vX_[3674] * vX_[98] + vX_[8012] * -0.00185880198235362 +
+ vX_[8687] * -7.4114911576828e-06 + vX_[8011] * vX_[68] + vX_[7994] * vX_[53] + vX_[2639] * vX_[78] +
+ (vX_[7963] * vX_[52] + vX_[2639] * vX_[7]) * -8.81e-05 + vX_[5374] * vX_[63] + vX_[8164] * vX_[109] +
+ vX_[8018] * vX_[59] + vX_[8029] * vX_[55] + vX_[8006] * vX_[108] + vX_[7976] * vX_[107] +
+ vX_[7366] * vX_[4066] + vX_[9302] * vX_[4072] - (vX_[8023] * vX_[1985] + vX_[7325] * vX_[4091]) +
+ (vX_[8030] * vX_[805] + vX_[7608] * vX_[65] + vX_[8027] * vX_[66] + vX_[8016] * -0.00185880198235362 +
+ vX_[1950] * 0.880992588508842 +
+ (0 - (vX_[5374] * vX_[7] + vX_[5384] * vX_[52] + vX_[7966] + vX_[3061] * vX_[57] +
+ vX_[8027] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[8029] * vX_[51] + vX_[8018] * vX_[7]) + (vX_[8018] * vX_[7] + vX_[7610] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[3061]) * -0.1104774 + (0 - vX_[7597]) * -0.000881 + vX_[7366] * vX_[4082]) *
+ 0.35 -
+ (vX_[8028] * vX_[984] + vX_[7968] * vX_[99] + vX_[8008] * vX_[64] + vX_[7963] * vX_[77] +
+ vX_[5604] * vX_[50] + (vX_[7994] * vX_[51] + vX_[5604] * vX_[7]) * 8.81e-05 + vX_[5384] * vX_[67] +
+ vX_[7610] * vX_[56] + vX_[2644] * vX_[110] + vX_[8018] * vX_[58] + vX_[7559] * vX_[4074]) +
+ vX_[8032] * vX_[768] + vX_[8067] * vX_[1006] + vX_[8052] * vX_[955] + vX_[8069] * vX_[1014] +
+ vX_[8038] * vX_[785] + vX_[8054] * vX_[960] + vX_[8033] * vX_[800] + vX_[8058] * vX_[979] +
+ vX_[8051] * vX_[9] + vX_[8070] * vX_[1022] + vX_[8040] * vX_[793] + vX_[7495] * vX_[967] +
+ vX_[8043] * vX_[802] + vX_[1339] * vX_[769] + vX_[8046] * vX_[814] + vX_[8060] * vX_[820] +
+ vX_[8056] * vX_[973] + vX_[8071] * vX_[808] + vX_[2214] * vX_[867] + vX_[2212] * vX_[888] +
+ vX_[2825] * vX_[863] + vX_[8037] * vX_[905] + vX_[7563] * vX_[897] + vX_[2248] * vX_[901] +
+ vX_[2247] * vX_[859] + vX_[7743] * vX_[847] + vX_[2868] * vX_[855] + vX_[2669] * vX_[879] +
+ vX_[7970] * vX_[882] + vX_[5327] * vX_[942] + vX_[2258] * vX_[933] + vX_[8072] * vX_[808]) *
+ vX_[758];
+ vX_[8440] = vX_[1616] + vX_[7997] * vX_[76] + vX_[8440] * vX_[89] + vX_[8451] * vX_[3912];
+ vX_[8437] = vX_[1616] + vX_[2233] * vX_[4] + vX_[8437] * vX_[93] + vX_[8452] * vX_[3984];
+ vX_[1616] = vX_[8440] - vX_[8437];
+ vX_[8397] = vX_[7997] * vX_[4] + vX_[2233] * vX_[76] + vX_[8441] * vX_[93] + vX_[8397] * vX_[89] +
+ vX_[8451] * vX_[3984] + vX_[8452] * vX_[3912];
+ vX_[8441] = vX_[1616] * vX_[7] + vX_[8397] * vX_[52];
+ vX_[2233] = vX_[1616] * vX_[51] + vX_[8397] * vX_[7];
+ vX_[752] = vX_[751] * vX_[9311] + vX_[752] * vX_[4518] + vX_[750] * vX_[1647] + vX_[3912];
+ vX_[8440] = 0 - vX_[8440];
+ vX_[751] = 0 - vX_[8397];
+ vX_[9194] =
+ vX_[8405] * vX_[76] + vX_[2245] * vX_[4] + vX_[9194] * vX_[89] + vX_[8451] * vX_[3966] + vX_[8448] * vX_[3912];
+ vX_[7997] = 0 - vX_[9194];
+ vX_[8423] =
+ vX_[8405] * vX_[4] + vX_[2245] * vX_[75] + vX_[8423] * vX_[89] + vX_[8451] * vX_[3968] + vX_[8457] * vX_[3912];
+ vX_[8405] = 0 - vX_[8423];
+ vX_[2245] = (vX_[8440] * vX_[83] + vX_[751] * vX_[70] + vX_[7997] * vX_[79] + vX_[8405] * vX_[60]) * 1 / vX_[72];
+ vX_[8440] = vX_[8391] * vX_[752] + vX_[8453] * vX_[1010] + vX_[8440] * vX_[84] + vX_[2245];
+ vX_[1647] = vX_[75] * vX_[9311] + vX_[93] * vX_[4518] + vX_[754] * vX_[1647] + vX_[3984];
+ vX_[8437] = 0 - vX_[8437];
+ vX_[8388] =
+ vX_[8389] * vX_[76] + vX_[8395] * vX_[4] + vX_[8388] * vX_[93] + vX_[8452] * vX_[3966] + vX_[8448] * vX_[3984];
+ vX_[9311] = 0 - vX_[8388];
+ vX_[2244] =
+ vX_[8389] * vX_[4] + vX_[8395] * vX_[75] + vX_[2244] * vX_[93] + vX_[8452] * vX_[3968] + vX_[8457] * vX_[3984];
+ vX_[8389] = 0 - vX_[2244];
+ vX_[8395] = (vX_[8437] * vX_[70] + vX_[9311] * vX_[79] + vX_[8389] * vX_[60]) * 1 / vX_[72];
+ vX_[8437] = vX_[8393] * vX_[1647] + vX_[8454] * vX_[1010] + vX_[751] * vX_[84] + vX_[8437] * vX_[73] + vX_[8395];
+ vX_[2899] = vX_[8438] + vX_[2268] * vX_[89] + vX_[2899] * vX_[93] * 2. + vX_[8447] * vX_[3968] - vX_[8437];
+ vX_[2880] = 0 - (vX_[8609] + vX_[2880] * vX_[93] + vX_[8445] * vX_[89] * 2. + vX_[8447] * vX_[3966]) + vX_[8440];
+ vX_[8445] = vX_[8445] + vX_[8448] * vX_[3966];
+ vX_[8443] = vX_[8443] + vX_[8457] * vX_[3968];
+ vX_[8609] = vX_[8445] - vX_[8443];
+ vX_[8447] = vX_[76] * vX_[8604] + vX_[4] * vX_[7964] + vX_[3966];
+ vX_[8438] = 0 - vX_[8445];
+ vX_[2268] = vX_[2268] + vX_[8448] * vX_[3968] + vX_[8457] * vX_[3966];
+ vX_[751] = 0 - vX_[2268];
+ vX_[8393] = (vX_[8438] * vX_[79] + vX_[751] * vX_[60]) * 1 / vX_[72];
+ vX_[8438] = vX_[8383] * vX_[8447] + vX_[8456] * vX_[1010] + vX_[7997] * vX_[84] + vX_[9311] * vX_[73] +
+ vX_[8438] * vX_[116] + vX_[8393];
+ vX_[8604] = vX_[4] * vX_[8604] + vX_[75] * vX_[7964] + vX_[3968];
+ vX_[7964] = 0 - vX_[8443];
+ vX_[9311] = vX_[7964] * vX_[60] * 1 / vX_[72];
+ vX_[7964] = vX_[8385] * vX_[8604] + vX_[8458] * vX_[1010] + vX_[8405] * vX_[84] + vX_[8389] * vX_[73] +
+ vX_[751] * vX_[116] + vX_[7964] * vX_[112] + vX_[9311];
+ vX_[751] = 0 - vX_[7964];
+ vX_[8389] = vX_[8609] * vX_[7] + vX_[2268] * vX_[52];
+ vX_[8405] = vX_[8609] * vX_[51] + vX_[2268] * vX_[7];
+ vX_[8385] = vX_[8389] * vX_[51] + vX_[8405] * vX_[7];
+ vX_[7997] = (vX_[1010] - vX_[72] * vX_[4518] - vX_[79] * vX_[8447] - vX_[60] * vX_[8604] - vX_[83] * vX_[752] -
+ vX_[70] * vX_[1647]) /
+ vX_[72];
+ vX_[8383] = vX_[8443] + vX_[8389] * vX_[7];
+ vX_[8391] = vX_[8443] + vX_[8405] * vX_[51];
+ vX_[9311] = vX_[8445] + vX_[8443] + 0 - vX_[8382] * vX_[7997] + vX_[8398] * vX_[4518] - vX_[8453] * vX_[3895] -
+ vX_[8454] * vX_[3907] - vX_[8455] * vX_[3985] + vX_[8455] * vX_[1010] - vX_[8456] * vX_[4057] -
+ vX_[8458] * vX_[815] - vX_[2245] * vX_[84] - vX_[8395] * vX_[73] - vX_[8393] * vX_[116] -
+ vX_[9311] * vX_[112] - vX_[8383] - vX_[8391];
+ vX_[8393] = 0 - vX_[9311];
+ vX_[8443] = vX_[8440] * vX_[7] + vX_[8437] * vX_[52];
+ vX_[8445] = vX_[8443] + vX_[8393] * vX_[57];
+ vX_[8395] = vX_[8440] * vX_[51] + vX_[8437] * vX_[7];
+ vX_[2245] = vX_[8395] + vX_[9311] * vX_[54];
+ vX_[8458] = 0 - vX_[7964];
+ vX_[8456] = 0 - vX_[8391];
+ jac[646] =
+ 0 -
+ (vX_[8451] * vX_[1985] + vX_[8452] * vX_[805] + vX_[8448] * vX_[984] + vX_[8457] * vX_[1987] +
+ vX_[1616] * vX_[99] + vX_[8397] * vX_[98] + vX_[8441] * -0.466187537174287 +
+ vX_[2233] * -0.00185880198235362 + vX_[8440] * vX_[64] + vX_[8437] * vX_[68] + vX_[8388] * vX_[78] +
+ vX_[8423] * vX_[50] + vX_[9194] * vX_[77] + vX_[2244] * vX_[53] +
+ (vX_[8388] * vX_[7] + vX_[9194] * vX_[51]) * 8.81e-05 +
+ (vX_[8423] * vX_[7] + vX_[2244] * vX_[52]) * -8.81e-05 + vX_[2899] * vX_[67] + vX_[2880] * vX_[63] +
+ vX_[8609] * vX_[110] + vX_[8438] * vX_[56] + vX_[7964] * vX_[59] + vX_[2268] * vX_[109] +
+ vX_[751] * vX_[58] + vX_[8438] * vX_[55] + vX_[8389] * vX_[106] + vX_[8405] * vX_[108] +
+ (vX_[8385] * vX_[66] + vX_[8393] * vX_[61] + vX_[8383] * vX_[62] + (0 - vX_[8445]) * 0.414812462825713 +
+ (0 - (vX_[2899] * vX_[51] + vX_[2880] * vX_[7]) + vX_[8443] + vX_[8383] * vX_[57]) * 0.881 +
+ (0 - vX_[2245]) * -0.00185880198235362 +
+ (0 - (vX_[751] * vX_[7] + vX_[8438] * vX_[52] + (vX_[8438] * vX_[51] + vX_[7964] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[8385] * -0.0004405 + vX_[8383] * -0.2209548) *
+ -0.35 +
+ vX_[7799] * vX_[4066] + vX_[2849] * vX_[4091] + vX_[7978] * vX_[4072] + vX_[1055] * vX_[4074] +
+ (vX_[8459] * vX_[1985] + vX_[7799] * vX_[4082]) * 0.35 + vX_[8495] * vX_[1006] + vX_[8463] * vX_[774] +
+ vX_[8498] * vX_[1017] + vX_[8467] * vX_[788] + vX_[1966] * vX_[962] + vX_[8471] * vX_[802] +
+ vX_[1368] * vX_[769] + vX_[8474] * vX_[75] + vX_[8499] * vX_[1025] + vX_[8469] * vX_[796] +
+ vX_[8484] * vX_[966] + vX_[8449] * vX_[800] + vX_[8488] * vX_[981] + vX_[283] * vX_[9] +
+ vX_[7999] * vX_[822] + vX_[8485] * vX_[971] + vX_[1031] * vX_[809] + vX_[1508] * vX_[869] +
+ vX_[1125] * vX_[886] + vX_[8633] * vX_[864] + vX_[8466] * vX_[907] + vX_[7982] * vX_[895] +
+ vX_[294] * vX_[900] + vX_[291] * vX_[861] + vX_[1280] * vX_[849] + vX_[1992] * vX_[853] +
+ vX_[8399] * vX_[880] + vX_[8417] * vX_[883] + vX_[8722] * vX_[944] + vX_[1330] * vX_[931] +
+ vX_[2257] * vX_[938]) *
+ vX_[762] +
+ (vX_[8451] * vX_[805] + vX_[8448] * vX_[1987] + vX_[1616] * vX_[98] + vX_[8441] * -0.00185880198235362 +
+ vX_[2233] * -7.4114911576828e-06 + vX_[8440] * vX_[68] + vX_[8423] * vX_[53] + vX_[9194] * vX_[78] +
+ (vX_[8388] * vX_[52] + vX_[9194] * vX_[7]) * -8.81e-05 + vX_[2899] * vX_[63] + vX_[8609] * vX_[109] +
+ vX_[8438] * vX_[59] + vX_[8458] * vX_[55] + vX_[8389] * vX_[108] + vX_[8405] * vX_[107] +
+ vX_[2849] * vX_[4066] + vX_[1055] * vX_[4072] - (vX_[8452] * vX_[1985] + vX_[7799] * vX_[4091]) +
+ (vX_[8459] * vX_[805] + vX_[9311] * vX_[65] + vX_[8456] * vX_[66] + vX_[8445] * -0.00185880198235362 +
+ vX_[2245] * 0.880992588508842 +
+ (0 - (vX_[2899] * vX_[7] + vX_[2880] * vX_[52] + vX_[8395] + vX_[8385] * vX_[57] +
+ vX_[8456] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[8458] * vX_[51] + vX_[8438] * vX_[7]) + (vX_[8438] * vX_[7] + vX_[7964] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[8385]) * -0.1104774 + (0 - vX_[8391]) * -0.000881 + vX_[2849] * vX_[4082]) *
+ 0.35 -
+ (vX_[8457] * vX_[984] + vX_[8397] * vX_[99] + vX_[8437] * vX_[64] + vX_[8388] * vX_[77] +
+ vX_[2244] * vX_[50] + (vX_[8423] * vX_[51] + vX_[2244] * vX_[7]) * 8.81e-05 + vX_[2880] * vX_[67] +
+ vX_[7964] * vX_[56] + vX_[2268] * vX_[110] + vX_[8438] * vX_[58] + vX_[7978] * vX_[4074]) +
+ vX_[8461] * vX_[768] + vX_[8496] * vX_[1006] + vX_[8481] * vX_[955] + vX_[8498] * vX_[1014] +
+ vX_[8467] * vX_[785] + vX_[8483] * vX_[960] + vX_[8462] * vX_[800] + vX_[8487] * vX_[979] +
+ vX_[8480] * vX_[9] + vX_[8499] * vX_[1022] + vX_[8469] * vX_[793] + vX_[2657] * vX_[967] +
+ vX_[8472] * vX_[802] + vX_[1048] * vX_[769] + vX_[8475] * vX_[814] + vX_[8489] * vX_[820] +
+ vX_[8485] * vX_[973] + vX_[8500] * vX_[808] + vX_[9038] * vX_[867] + vX_[1125] * vX_[888] +
+ vX_[1454] * vX_[863] + vX_[8466] * vX_[905] + vX_[7982] * vX_[897] + vX_[294] * vX_[901] +
+ vX_[295] * vX_[859] + vX_[337] * vX_[847] + vX_[1992] * vX_[855] + vX_[2221] * vX_[879] +
+ vX_[8401] * vX_[882] + vX_[2840] * vX_[942] + vX_[1330] * vX_[933] + vX_[8501] * vX_[808]) *
+ vX_[758];
+ vX_[3821] = vX_[1117] + vX_[682] * vX_[76] + vX_[3821] * vX_[89] + vX_[8880] * vX_[3912];
+ vX_[780] = vX_[1117] + vX_[1291] * vX_[4] + vX_[780] * vX_[93] + vX_[8881] * vX_[3984];
+ vX_[1117] = vX_[3821] - vX_[780];
+ vX_[4041] = vX_[682] * vX_[4] + vX_[1291] * vX_[76] + vX_[3741] * vX_[93] + vX_[4041] * vX_[89] +
+ vX_[8880] * vX_[3984] + vX_[8881] * vX_[3912];
+ vX_[3741] = vX_[1117] * vX_[7] + vX_[4041] * vX_[52];
+ vX_[1291] = vX_[1117] * vX_[51] + vX_[4041] * vX_[7];
+ vX_[3821] = 0 - vX_[3821];
+ vX_[682] = 0 - vX_[4041];
+ vX_[4055] =
+ vX_[8834] * vX_[76] + vX_[1638] * vX_[4] + vX_[4055] * vX_[89] + vX_[8880] * vX_[3966] + vX_[8877] * vX_[3912];
+ vX_[8456] = 0 - vX_[4055];
+ vX_[8872] =
+ vX_[8834] * vX_[4] + vX_[1638] * vX_[75] + vX_[8872] * vX_[89] + vX_[8880] * vX_[3968] + vX_[8886] * vX_[3912];
+ vX_[8834] = 0 - vX_[8872];
+ vX_[83] = (vX_[3821] * vX_[83] + vX_[682] * vX_[70] + vX_[8456] * vX_[79] + vX_[8834] * vX_[60]) * 1 / vX_[72];
+ vX_[3821] = vX_[8821] * vX_[752] + vX_[8882] * vX_[1010] + vX_[3821] * vX_[84] + vX_[83];
+ vX_[780] = 0 - vX_[780];
+ vX_[771] =
+ vX_[4885] * vX_[76] + vX_[8825] * vX_[4] + vX_[771] * vX_[93] + vX_[8881] * vX_[3966] + vX_[8877] * vX_[3984];
+ vX_[8821] = 0 - vX_[771];
+ vX_[8874] =
+ vX_[4885] * vX_[4] + vX_[8825] * vX_[75] + vX_[8874] * vX_[93] + vX_[8881] * vX_[3968] + vX_[8886] * vX_[3984];
+ vX_[4885] = 0 - vX_[8874];
+ vX_[70] = (vX_[780] * vX_[70] + vX_[8821] * vX_[79] + vX_[4885] * vX_[60]) * 1 / vX_[72];
+ vX_[780] = vX_[8823] * vX_[1647] + vX_[8883] * vX_[1010] + vX_[682] * vX_[84] + vX_[780] * vX_[73] + vX_[70];
+ vX_[8929] = vX_[4093] + vX_[1089] * vX_[89] + vX_[8929] * vX_[93] * 2. + vX_[8876] * vX_[3968] - vX_[780];
+ vX_[1975] = 0 - (vX_[1515] + vX_[1975] * vX_[93] + vX_[1926] * vX_[89] * 2. + vX_[8876] * vX_[3966]) + vX_[3821];
+ vX_[1926] = vX_[1926] + vX_[8877] * vX_[3966];
+ vX_[4368] = vX_[4368] + vX_[8886] * vX_[3968];
+ vX_[1515] = vX_[1926] - vX_[4368];
+ vX_[8876] = 0 - vX_[1926];
+ vX_[1089] = vX_[1089] + vX_[8877] * vX_[3968] + vX_[8886] * vX_[3966];
+ vX_[3968] = 0 - vX_[1089];
+ vX_[79] = (vX_[8876] * vX_[79] + vX_[3968] * vX_[60]) * 1 / vX_[72];
+ vX_[8876] = vX_[8813] * vX_[8447] + vX_[8885] * vX_[1010] + vX_[8456] * vX_[84] + vX_[8821] * vX_[73] +
+ vX_[8876] * vX_[116] + vX_[79];
+ vX_[8821] = 0 - vX_[4368];
+ vX_[72] = vX_[8821] * vX_[60] * 1 / vX_[72];
+ vX_[8821] = vX_[8815] * vX_[8604] + vX_[8887] * vX_[1010] + vX_[8834] * vX_[84] + vX_[4885] * vX_[73] +
+ vX_[3968] * vX_[116] + vX_[8821] * vX_[112] + vX_[72];
+ vX_[3968] = 0 - vX_[8821];
+ vX_[4885] = vX_[1515] * vX_[7] + vX_[1089] * vX_[52];
+ vX_[8834] = vX_[1515] * vX_[51] + vX_[1089] * vX_[7];
+ vX_[8604] = vX_[4885] * vX_[51] + vX_[8834] * vX_[7];
+ vX_[8815] = vX_[4368] + vX_[4885] * vX_[7];
+ vX_[60] = vX_[4368] + vX_[8834] * vX_[51];
+ vX_[72] = vX_[1926] + vX_[4368] + 0 - vX_[8812] * vX_[7997] + vX_[8828] * vX_[4518] - vX_[8882] * vX_[3895] -
+ vX_[8883] * vX_[3907] - vX_[8884] * vX_[3985] + vX_[8884] * vX_[1010] - vX_[8885] * vX_[4057] -
+ vX_[8887] * vX_[815] - vX_[83] * vX_[84] - vX_[70] * vX_[73] - vX_[79] * vX_[116] - vX_[72] * vX_[112] -
+ vX_[8815] - vX_[60];
+ vX_[79] = 0 - vX_[72];
+ vX_[4368] = vX_[3821] * vX_[7] + vX_[780] * vX_[52];
+ vX_[1926] = vX_[4368] + vX_[79] * vX_[57];
+ vX_[70] = vX_[3821] * vX_[51] + vX_[780] * vX_[7];
+ vX_[83] = vX_[70] + vX_[72] * vX_[54];
+ vX_[7997] = vX_[4518] + vX_[7997];
+ vX_[4518] = 0 - vX_[8821];
+ vX_[815] = 0 - vX_[60];
+ jac[647] =
+ 0 -
+ (-4.21975478400367 * vX_[752] + -0.0168251785646079 * vX_[1647] + vX_[8880] * vX_[1985] + vX_[8881] * vX_[805] +
+ vX_[8877] * vX_[984] + vX_[8886] * vX_[1987] + vX_[1117] * vX_[99] + vX_[4041] * vX_[98] +
+ vX_[3741] * -0.466187537174287 + vX_[1291] * -0.00185880198235362 + vX_[3821] * vX_[64] +
+ vX_[780] * vX_[68] + vX_[771] * vX_[78] + vX_[8872] * vX_[50] + vX_[4055] * vX_[77] + vX_[8874] * vX_[53] +
+ (vX_[771] * vX_[7] + vX_[4055] * vX_[51]) * 8.81e-05 +
+ (vX_[8872] * vX_[7] + vX_[8874] * vX_[52]) * -8.81e-05 + vX_[8929] * vX_[67] + vX_[1975] * vX_[63] +
+ vX_[1515] * vX_[110] + vX_[8876] * vX_[56] + vX_[8821] * vX_[59] + vX_[1089] * vX_[109] +
+ vX_[3968] * vX_[58] + vX_[8876] * vX_[55] + vX_[4885] * vX_[106] + vX_[8834] * vX_[108] +
+ (vX_[8604] * vX_[66] + vX_[79] * vX_[61] + vX_[8815] * vX_[62] + (0 - vX_[1926]) * 0.414812462825713 +
+ (0 - (vX_[8929] * vX_[51] + vX_[1975] * vX_[7]) + vX_[4368] + vX_[8815] * vX_[57]) * 0.881 +
+ (0 - vX_[83]) * -0.00185880198235362 +
+ (0 - (vX_[3968] * vX_[7] + vX_[8876] * vX_[52] + (vX_[8876] * vX_[51] + vX_[8821] * vX_[7]) * 2.)) *
+ -8.81e-05 +
+ vX_[8604] * -0.0004405 + vX_[8815] * -0.2209548) *
+ -0.35 +
+ vX_[8635] * vX_[4066] + vX_[2239] * vX_[4091] + vX_[8407] * vX_[4072] + vX_[3192] * vX_[4074] +
+ (-4.21975478400367 * vX_[7997] + vX_[8888] * vX_[1985] + vX_[8635] * vX_[4082]) * 0.35 +
+ vX_[8924] * vX_[1006] + vX_[8892] * vX_[774] + vX_[8927] * vX_[1017] + vX_[8896] * vX_[788] +
+ vX_[4064] * vX_[962] + vX_[8900] * vX_[802] + vX_[875] * vX_[769] + vX_[8909] * vX_[75] +
+ vX_[8928] * vX_[1025] + vX_[8898] * vX_[796] + vX_[8913] * vX_[966] + vX_[2242] * vX_[800] +
+ vX_[8917] * vX_[981] + vX_[8902] * vX_[9] + vX_[8843] * vX_[822] + vX_[8914] * vX_[971] +
+ vX_[8827] * vX_[809] + vX_[845] * vX_[869] + vX_[8422] * vX_[886] + vX_[8818] * vX_[864] +
+ vX_[8895] * vX_[907] + vX_[8411] * vX_[895] + vX_[4061] * vX_[900] + vX_[8303] * vX_[861] +
+ vX_[6469] * vX_[849] + vX_[1988] * vX_[853] + vX_[8869] * vX_[880] + vX_[8866] * vX_[883] +
+ vX_[881] * vX_[944] + vX_[929] * vX_[931] + vX_[521] * vX_[938]) *
+ vX_[762] +
+ (-0.0168251785646079 * vX_[752] + vX_[8880] * vX_[805] + vX_[8877] * vX_[1987] + vX_[1117] * vX_[98] +
+ vX_[3741] * -0.00185880198235362 + vX_[1291] * -7.4114911576828e-06 + vX_[3821] * vX_[68] +
+ vX_[8872] * vX_[53] + vX_[4055] * vX_[78] + (vX_[771] * vX_[52] + vX_[4055] * vX_[7]) * -8.81e-05 +
+ vX_[8929] * vX_[63] + vX_[1515] * vX_[109] + vX_[8876] * vX_[59] + vX_[4518] * vX_[55] +
+ vX_[4885] * vX_[108] + vX_[8834] * vX_[107] + vX_[2239] * vX_[4066] + vX_[3192] * vX_[4072] -
+ (-4.21975478400367 * vX_[1647] + vX_[8881] * vX_[1985] + vX_[8635] * vX_[4091]) +
+ (-0.0168251785646079 * vX_[7997] + vX_[8888] * vX_[805] + vX_[72] * vX_[65] + vX_[815] * vX_[66] +
+ vX_[1926] * -0.00185880198235362 + vX_[83] * 0.880992588508842 +
+ (0 - (vX_[8929] * vX_[7] + vX_[1975] * vX_[52] + vX_[70] + vX_[8604] * vX_[57] + vX_[815] * vX_[54])) *
+ 0.881 +
+ (0 - (vX_[4518] * vX_[51] + vX_[8876] * vX_[7]) + (vX_[8876] * vX_[7] + vX_[8821] * vX_[52]) * 2.) *
+ 8.81e-05 +
+ (0 - vX_[8604]) * -0.1104774 + (0 - vX_[60]) * -0.000881 + vX_[2239] * vX_[4082]) *
+ 0.35 -
+ (vX_[8886] * vX_[984] + vX_[4041] * vX_[99] + vX_[780] * vX_[64] + vX_[771] * vX_[77] +
+ vX_[8874] * vX_[50] + (vX_[8872] * vX_[51] + vX_[8874] * vX_[7]) * 8.81e-05 + vX_[1975] * vX_[67] +
+ vX_[8821] * vX_[56] + vX_[1089] * vX_[110] + vX_[8876] * vX_[58] + vX_[8407] * vX_[4074]) +
+ vX_[8890] * vX_[768] + vX_[8925] * vX_[1006] + vX_[8910] * vX_[955] + vX_[8927] * vX_[1014] +
+ vX_[8896] * vX_[785] + vX_[8912] * vX_[960] + vX_[9195] * vX_[800] + vX_[8916] * vX_[979] +
+ vX_[1993] * vX_[9] + vX_[8928] * vX_[1022] + vX_[8898] * vX_[793] + vX_[9193] * vX_[967] +
+ vX_[8901] * vX_[802] + vX_[986] * vX_[769] + vX_[975] * vX_[814] + vX_[8918] * vX_[820] +
+ vX_[8914] * vX_[973] + vX_[1986] * vX_[808] + vX_[839] * vX_[867] + vX_[8422] * vX_[888] +
+ vX_[8903] * vX_[863] + vX_[8895] * vX_[905] + vX_[8411] * vX_[897] + vX_[4061] * vX_[901] +
+ vX_[8889] * vX_[859] + vX_[267] * vX_[847] + vX_[1988] * vX_[855] + vX_[8870] * vX_[879] +
+ vX_[8867] * vX_[882] + vX_[940] * vX_[942] + vX_[929] * vX_[933] + vX_[8930] * vX_[808]) *
+ vX_[758];
+ vX_[815] = vX_[738] * -53.433;
+ vX_[4518] = vX_[669] * -1.1915559;
+ vX_[7997] = vX_[162] * 2.0678571;
+ vX_[83] = vX_[815] - vX_[4518] + vX_[7997];
+ vX_[70] = vX_[714] * 53.433 + (0 - vX_[673]) * -1.1915559 + vX_[162] * -0.0053433;
+ vX_[1926] = vX_[714] * -1.1915559 + vX_[632] * 2.0678571 + vX_[669] * 0.012668 + (0 - vX_[673]) * 4.847485 +
+ (0 - vX_[162]) * -0.00571;
+ vX_[4368] = vX_[738] * -1.1915559 + vX_[632] * -0.0053433 + vX_[669] * 4.374212 + (0 - vX_[673]) * 0.012668 +
+ vX_[162] * 0.190812;
+ vX_[79] = (0 - vX_[714]) * 2.0678571;
+ vX_[72] = (0 - vX_[738]) * -0.0053433;
+ vX_[60] = (0 - vX_[669]) * -0.00571;
+ vX_[8815] = vX_[673] * 0.190812;
+ vX_[8604] = vX_[79] + vX_[72] - vX_[60] - vX_[8815];
+ vX_[8980] = vX_[6229] + vX_[8980] + vX_[3362];
+ vX_[8980] = vX_[1861] * 0.08 + vX_[8993] * vX_[76] + vX_[233] * vX_[4] + vX_[4434] * vX_[4096] +
+ vX_[1337] * vX_[3880] + vX_[6462] * vX_[4104] + vX_[8984] * vX_[4092] + vX_[8980] * vX_[4085] +
+ vX_[8980] * vX_[4085];
+ jac[1206] = vX_[1329] * vX_[3834] + vX_[8939] * vX_[4096] + vX_[1246] * vX_[4083] + vX_[1932] * vX_[4104] +
+ vX_[8980] + vX_[983] * vX_[903] + vX_[775] * vX_[857];
+ vX_[1551] = vX_[1567] + vX_[1551] + vX_[1558];
+ vX_[1551] = vX_[300] * -0.08 + vX_[1585] * vX_[186] + vX_[1635] * vX_[166] + vX_[288] * vX_[3838] +
+ vX_[9024] * vX_[806] + vX_[3742] * vX_[824] + vX_[9026] * vX_[3807] + vX_[1551] * vX_[4087] +
+ vX_[1551] * vX_[4087];
+ jac[1098] = vX_[9052] * vX_[1857] + vX_[4396] * vX_[3838] + vX_[1578] * vX_[1088] + vX_[1532] * vX_[824] +
+ vX_[1551] + vX_[1292] * vX_[1220] + vX_[1527] * vX_[1171];
+ vX_[8716] = vX_[9070] + vX_[8716] + vX_[9108];
+ vX_[8716] = vX_[1694] * 0.08 + vX_[9375] * vX_[304] + vX_[9096] * vX_[276] + vX_[3657] * vX_[1777] +
+ vX_[1962] * vX_[1126] + vX_[9106] * vX_[1274] + vX_[9072] * vX_[1130] + vX_[8716] * vX_[1026] +
+ vX_[8716] * vX_[1026];
+ jac[990] = vX_[1959] * vX_[835] + vX_[1449] * vX_[1777] + vX_[9348] * vX_[1101] + vX_[2090] * vX_[1274] +
+ vX_[8716] + vX_[1604] * vX_[1530] + vX_[1880] * vX_[1483];
+ vX_[3516] = vX_[3314] + vX_[3516] + vX_[3315];
+ vX_[3516] = vX_[1714] * -0.08 + vX_[3224] * vX_[421] + vX_[3336] * vX_[394] + vX_[1919] * vX_[4129] +
+ vX_[3499] * vX_[1543] + vX_[1752] * vX_[1882] + vX_[3511] * vX_[2916] + vX_[3516] * vX_[10] +
+ vX_[3516] * vX_[10];
+ jac[666] = vX_[83] * x_in[23] + vX_[70] * x_in[22] + vX_[1926] * x_in[20] + vX_[4368] * x_in[19] +
+ vX_[8604] * x_in[18] + vX_[8604] * x_in[18] + vX_[8980] + vX_[534] * vX_[706] + vX_[8974] * vX_[27] +
+ vX_[1032] * vX_[1038] + vX_[4491] * vX_[164] + vX_[1551] * -1 + vX_[8716] + vX_[1343] * vX_[1341] +
+ vX_[9244] * vX_[274] + vX_[4113] * vX_[1659] + vX_[3443] * vX_[392] + vX_[3516] * -1 +
+ vX_[983] * vX_[890] + vX_[8946] * vX_[871] + vX_[1292] * vX_[1206] + vX_[1524] * vX_[1188] +
+ vX_[1604] * vX_[1517] + vX_[1878] * vX_[1498] + vX_[1918] * vX_[1827] + vX_[3306] * vX_[1808];
+ jac[882] = vX_[3498] * vX_[4026] + vX_[1887] * vX_[4129] + vX_[3323] * vX_[4131] + vX_[3308] * vX_[1882] +
+ vX_[3516] + vX_[1918] * vX_[1840] + vX_[3311] * vX_[1794];
+ vX_[3516] = vX_[2114] * -53.433;
+ vX_[3323] = vX_[2123] * -1.1915559;
+ vX_[3308] = vX_[2134] * 2.0678571;
+ vX_[3498] = vX_[3516] - vX_[3323] + vX_[3308];
+ vX_[1887] = vX_[2116] * 53.433 + (0 - vX_[2128]) * -1.1915559 + vX_[2134] * -0.0053433;
+ vX_[8716] = vX_[2116] * -1.1915559 + vX_[2110] * 2.0678571 + vX_[2123] * 0.012668 + (0 - vX_[2128]) * 4.847485 +
+ (0 - vX_[2134]) * -0.00571;
+ vX_[1551] = vX_[2114] * -1.1915559 + vX_[2110] * -0.0053433 + vX_[2123] * 4.374212 + (0 - vX_[2128]) * 0.012668 +
+ vX_[2134] * 0.190812;
+ vX_[8980] = (0 - vX_[2116]) * 2.0678571;
+ vX_[8604] = (0 - vX_[2114]) * -0.0053433;
+ vX_[8946] = (0 - vX_[2123]) * -0.00571;
+ vX_[1524] = vX_[2128] * 0.190812;
+ vX_[1878] = vX_[8980] + vX_[8604] - vX_[8946] - vX_[1524];
+ vX_[219] = vX_[1118] + vX_[219] + vX_[1113];
+ vX_[219] = vX_[720] * 0.08 + vX_[3953] * vX_[76] + vX_[4125] * vX_[4] + vX_[742] * vX_[4096] +
+ vX_[221] * vX_[3880] + vX_[1128] * vX_[4104] + vX_[8947] * vX_[4092] + vX_[219] * vX_[4085] +
+ vX_[219] * vX_[4085];
+ jac[1207] = vX_[191] * vX_[3834] + vX_[8763] * vX_[4096] + vX_[1122] * vX_[4083] + vX_[1105] * vX_[4104] +
+ vX_[219] + vX_[2190] * vX_[903] + vX_[5852] * vX_[857];
+ vX_[8155] = vX_[1660] + vX_[8155] + vX_[1347];
+ vX_[8155] = vX_[9042] * -0.08 + vX_[7834] * vX_[186] + vX_[9322] * vX_[166] + vX_[4499] * vX_[3838] +
+ vX_[1259] * vX_[806] + vX_[4492] * vX_[824] + vX_[616] * vX_[3807] + vX_[8155] * vX_[4087] +
+ vX_[8155] * vX_[4087];
+ jac[1099] = vX_[1624] * vX_[1857] + vX_[2057] * vX_[3838] + vX_[1976] * vX_[1088] + vX_[8631] * vX_[824] +
+ vX_[8155] + vX_[2263] * vX_[1220] + vX_[8634] * vX_[1171];
+ vX_[1899] = vX_[397] + vX_[1899] + vX_[395];
+ vX_[1899] = vX_[499] * 0.08 + vX_[408] * vX_[304] + vX_[445] * vX_[276] + vX_[9325] * vX_[1777] +
+ vX_[8665] * vX_[1126] + vX_[400] * vX_[1274] + vX_[9245] * vX_[1130] + vX_[1899] * vX_[1026] +
+ vX_[1899] * vX_[1026];
+ jac[991] = vX_[9181] * vX_[835] + vX_[1597] * vX_[1777] + vX_[398] * vX_[1101] + vX_[9068] * vX_[1274] + vX_[1899] +
+ vX_[2336] * vX_[1530] + vX_[9249] * vX_[1483];
+ vX_[9130] = vX_[8787] + vX_[9130] + vX_[8788];
+ vX_[9130] = vX_[1437] * -0.08 + vX_[8697] * vX_[421] + vX_[8809] * vX_[394] + vX_[1422] * vX_[4129] +
+ vX_[9062] * vX_[1543] + vX_[3659] * vX_[1882] + vX_[9113] * vX_[2916] + vX_[9130] * vX_[10] +
+ vX_[9130] * vX_[10];
+ jac[667] = vX_[3498] * x_in[23] + vX_[1887] * x_in[22] + vX_[8716] * x_in[20] + vX_[1551] * x_in[19] +
+ vX_[1878] * x_in[18] + vX_[1878] * x_in[18] + vX_[219] + vX_[8981] * vX_[706] + vX_[749] * vX_[27] +
+ vX_[9037] * vX_[1038] + vX_[9246] * vX_[164] + vX_[8155] * -1 + vX_[1899] + vX_[1423] * vX_[1341] +
+ vX_[402] * vX_[274] + vX_[3679] * vX_[1659] + vX_[9066] * vX_[392] + vX_[9130] * -1 +
+ vX_[2190] * vX_[890] + vX_[1969] * vX_[871] + vX_[2263] * vX_[1206] + vX_[2677] * vX_[1188] +
+ vX_[2336] * vX_[1517] + vX_[8657] * vX_[1498] + vX_[2409] * vX_[1827] + vX_[8779] * vX_[1808];
+ jac[883] = vX_[9050] * vX_[4026] + vX_[702] * vX_[4129] + vX_[8796] * vX_[4131] + vX_[8781] * vX_[1882] +
+ vX_[9130] + vX_[2409] * vX_[1840] + vX_[8784] * vX_[1794];
+ vX_[9130] = vX_[2513] * -53.433;
+ vX_[8796] = vX_[2523] * -1.1915559;
+ vX_[8781] = vX_[2534] * 2.0678571;
+ vX_[9050] = vX_[9130] - vX_[8796] + vX_[8781];
+ vX_[702] = vX_[2515] * 53.433 + (0 - vX_[2528]) * -1.1915559 + vX_[2534] * -0.0053433;
+ vX_[1899] = vX_[2515] * -1.1915559 + vX_[2521] * 2.0678571 + vX_[2523] * 0.012668 + (0 - vX_[2528]) * 4.847485 +
+ (0 - vX_[2534]) * -0.00571;
+ vX_[8155] = vX_[2513] * -1.1915559 + vX_[2521] * -0.0053433 + vX_[2523] * 4.374212 + (0 - vX_[2528]) * 0.012668 +
+ vX_[2534] * 0.190812;
+ vX_[219] = (0 - vX_[2515]) * 2.0678571;
+ vX_[1878] = (0 - vX_[2513]) * -0.0053433;
+ vX_[1969] = (0 - vX_[2523]) * -0.00571;
+ vX_[2677] = vX_[2528] * 0.190812;
+ vX_[8657] = vX_[219] + vX_[1878] - vX_[1969] - vX_[2677];
+ vX_[2800] = vX_[6908] + vX_[2800] + vX_[4003];
+ vX_[2800] = vX_[3484] * 0.08 + vX_[3691] * vX_[76] + vX_[3678] * vX_[4] + vX_[2119] * vX_[4096] +
+ vX_[8525] * vX_[3880] + vX_[1257] * vX_[4104] + vX_[8526] * vX_[4092] + vX_[2800] * vX_[4085] +
+ vX_[2800] * vX_[4085];
+ jac[1208] = vX_[8524] * vX_[3834] + vX_[1087] * vX_[4096] + vX_[2806] * vX_[4083] + vX_[8561] * vX_[4104] +
+ vX_[2800] + vX_[2590] * vX_[903] + vX_[7301] * vX_[857];
+ vX_[8216] = vX_[8172] + vX_[8216] + vX_[8170];
+ vX_[8216] = vX_[920] * -0.08 + vX_[8165] * vX_[186] + vX_[437] * vX_[166] + vX_[1144] * vX_[3838] +
+ vX_[8180] * vX_[806] + vX_[275] * vX_[824] + vX_[8204] * vX_[3807] + vX_[8216] * vX_[4087] +
+ vX_[8216] * vX_[4087];
+ jac[1100] = vX_[8341] * vX_[1857] + vX_[279] * vX_[3838] + vX_[8173] * vX_[1088] + vX_[3672] * vX_[824] +
+ vX_[8216] + vX_[2663] * vX_[1220] + vX_[7309] * vX_[1171];
+ vX_[8236] = vX_[8001] + vX_[8236] + vX_[7830];
+ vX_[8236] = vX_[1734] * 0.08 + vX_[8666] * vX_[304] + vX_[9236] * vX_[276] + vX_[1629] * vX_[1777] +
+ vX_[8289] * vX_[1126] + vX_[2606] * vX_[1274] + vX_[9154] * vX_[1130] + vX_[8236] * vX_[1026] +
+ vX_[8236] * vX_[1026];
+ jac[992] = vX_[8277] * vX_[835] + vX_[2332] * vX_[1777] + vX_[2844] * vX_[1101] + vX_[2890] * vX_[1274] +
+ vX_[8236] + vX_[2736] * vX_[1530] + vX_[1518] * vX_[1483];
+ vX_[8226] = vX_[7936] + vX_[8226] + vX_[7926];
+ vX_[8226] = vX_[3020] * -0.08 + vX_[7937] * vX_[421] + vX_[7947] * vX_[394] + vX_[679] * vX_[4129] +
+ vX_[8149] * vX_[1543] + vX_[8971] * vX_[1882] + vX_[8209] * vX_[2916] + vX_[8226] * vX_[10] +
+ vX_[8226] * vX_[10];
+ jac[668] = vX_[9050] * x_in[23] + vX_[702] * x_in[22] + vX_[1899] * x_in[20] + vX_[8155] * x_in[19] +
+ vX_[8657] * x_in[18] + vX_[8657] * x_in[18] + vX_[2800] + vX_[1097] * vX_[706] + vX_[2150] * vX_[27] +
+ vX_[280] * vX_[1038] + vX_[451] * vX_[164] + vX_[8216] * -1 + vX_[8236] + vX_[2316] * vX_[1341] +
+ vX_[2451] * vX_[274] + vX_[1226] * vX_[1659] + vX_[8153] * vX_[392] + vX_[8226] * -1 +
+ vX_[2590] * vX_[890] + vX_[8100] * vX_[871] + vX_[2663] * vX_[1206] + vX_[8860] * vX_[1188] +
+ vX_[2736] * vX_[1517] + vX_[8262] * vX_[1498] + vX_[2809] * vX_[1827] + vX_[7908] * vX_[1808];
+ jac[884] = vX_[8137] * vX_[4026] + vX_[1570] * vX_[4129] + vX_[7923] * vX_[4131] + vX_[7935] * vX_[1882] +
+ vX_[8226] + vX_[2809] * vX_[1840] + vX_[7918] * vX_[1794];
+ vX_[8226] = vX_[2943] * -53.433;
+ vX_[7923] = vX_[2950] * -1.1915559;
+ vX_[7935] = vX_[2961] * 2.0678571;
+ vX_[8137] = vX_[8226] - vX_[7923] + vX_[7935];
+ vX_[1570] = vX_[2941] * 53.433 + (0 - vX_[2955]) * -1.1915559 + vX_[2961] * -0.0053433;
+ vX_[8236] = vX_[2941] * -1.1915559 + vX_[2948] * 2.0678571 + vX_[2950] * 0.012668 + (0 - vX_[2955]) * 4.847485 +
+ (0 - vX_[2961]) * -0.00571;
+ vX_[8216] = vX_[2943] * -1.1915559 + vX_[2948] * -0.0053433 + vX_[2950] * 4.374212 + (0 - vX_[2955]) * 0.012668 +
+ vX_[2961] * 0.190812;
+ vX_[2800] = (0 - vX_[2941]) * 2.0678571;
+ vX_[8657] = (0 - vX_[2943]) * -0.0053433;
+ vX_[8100] = (0 - vX_[2950]) * -0.00571;
+ vX_[8860] = vX_[2955] * 0.190812;
+ vX_[8262] = vX_[2800] + vX_[8657] - vX_[8100] - vX_[8860];
+ vX_[1841] = vX_[8131] + vX_[1841] + vX_[1831];
+ vX_[1841] = vX_[917] * 0.08 + vX_[1242] * vX_[76] + vX_[1258] * vX_[4] + vX_[2518] * vX_[4096] +
+ vX_[1910] * vX_[3880] + vX_[7740] * vX_[4104] + vX_[8194] * vX_[4092] + vX_[1841] * vX_[4085] +
+ vX_[1841] * vX_[4085];
+ jac[1209] = vX_[6691] * vX_[3834] + vX_[8572] * vX_[4096] + vX_[8143] * vX_[4083] + vX_[7775] * vX_[4104] +
+ vX_[1841] + vX_[3017] * vX_[903] + vX_[7669] * vX_[857];
+ vX_[7277] = vX_[1692] + vX_[7277] + vX_[7356];
+ vX_[7277] = vX_[7771] * -0.08 + vX_[9342] * vX_[186] + vX_[3285] * vX_[166] + vX_[444] * vX_[3838] +
+ vX_[2791] * vX_[806] + vX_[9214] * vX_[824] + vX_[3264] * vX_[3807] + vX_[7277] * vX_[4087] +
+ vX_[7277] * vX_[4087];
+ jac[1101] = vX_[1669] * vX_[1857] + vX_[9219] * vX_[3838] + vX_[730] * vX_[1088] + vX_[7359] * vX_[824] +
+ vX_[7277] + vX_[3090] * vX_[1220] + vX_[7370] * vX_[1171];
+ vX_[7870] = vX_[1263] + vX_[7870] + vX_[1973];
+ vX_[7870] = vX_[1775] * 0.08 + vX_[2447] * vX_[304] + vX_[2679] * vX_[276] + vX_[2343] * vX_[1777] +
+ vX_[7818] * vX_[1126] + vX_[7852] * vX_[1274] + vX_[7822] * vX_[1130] + vX_[7870] * vX_[1026] +
+ vX_[7870] * vX_[1026];
+ jac[993] = vX_[7828] * vX_[835] + vX_[2732] * vX_[1777] + vX_[1350] * vX_[1101] + vX_[1991] * vX_[1274] +
+ vX_[7870] + vX_[3163] * vX_[1530] + vX_[6651] * vX_[1483];
+ vX_[7235] = vX_[7065] + vX_[7235] + vX_[7058];
+ vX_[7235] = vX_[8509] * -0.08 + vX_[7073] * vX_[421] + vX_[7079] * vX_[394] + vX_[2405] * vX_[4129] +
+ vX_[7218] * vX_[1543] + vX_[8314] * vX_[1882] + vX_[7230] * vX_[2916] + vX_[7235] * vX_[10] +
+ vX_[7235] * vX_[10];
+ jac[669] = vX_[8137] * x_in[23] + vX_[1570] * x_in[22] + vX_[8236] * x_in[20] + vX_[8216] * x_in[19] +
+ vX_[8262] * x_in[18] + vX_[8262] * x_in[18] + vX_[1841] + vX_[2799] * vX_[706] + vX_[2550] * vX_[27] +
+ vX_[1957] * vX_[1038] + vX_[1915] * vX_[164] + vX_[7277] * -1 + vX_[7870] + vX_[2716] * vX_[1341] +
+ vX_[7851] * vX_[274] + vX_[8316] * vX_[1659] + vX_[7106] * vX_[392] + vX_[7235] * -1 +
+ vX_[3017] * vX_[890] + vX_[9148] * vX_[871] + vX_[3090] * vX_[1206] + vX_[7358] * vX_[1188] +
+ vX_[3163] * vX_[1517] + vX_[5179] * vX_[1498] + vX_[3236] * vX_[1827] + vX_[6849] * vX_[1808];
+ jac[885] = vX_[7217] * vX_[4026] + vX_[8354] * vX_[4129] + vX_[7054] * vX_[4131] + vX_[7061] * vX_[1882] +
+ vX_[7235] + vX_[3236] * vX_[1840] + vX_[7051] * vX_[1794];
+ vX_[7235] = vX_[3349] * -53.433;
+ vX_[7054] = vX_[3356] * -1.1915559;
+ vX_[7061] = vX_[3367] * 2.0678571;
+ vX_[7217] = vX_[7235] - vX_[7054] + vX_[7061];
+ vX_[8354] = vX_[3347] * 53.433 + (0 - vX_[3361]) * -1.1915559 + vX_[3367] * -0.0053433;
+ vX_[7870] = vX_[3347] * -1.1915559 + vX_[3354] * 2.0678571 + vX_[3356] * 0.012668 + (0 - vX_[3361]) * 4.847485 +
+ (0 - vX_[3367]) * -0.00571;
+ vX_[7277] = vX_[3349] * -1.1915559 + vX_[3354] * -0.0053433 + vX_[3356] * 4.374212 + (0 - vX_[3361]) * 0.012668 +
+ vX_[3367] * 0.190812;
+ vX_[1841] = (0 - vX_[3347]) * 2.0678571;
+ vX_[8262] = (0 - vX_[3349]) * -0.0053433;
+ vX_[9148] = (0 - vX_[3356]) * -0.00571;
+ vX_[7358] = vX_[3361] * 0.190812;
+ vX_[5179] = vX_[1841] + vX_[8262] - vX_[9148] - vX_[7358];
+ vX_[7697] = vX_[7901] + vX_[7697] + vX_[9175];
+ vX_[7697] = vX_[8329] * 0.08 + vX_[8321] * vX_[76] + vX_[8333] * vX_[4] + vX_[2945] * vX_[4096] +
+ vX_[7557] * vX_[3880] + vX_[9200] * vX_[4104] + vX_[7671] * vX_[4092] + vX_[7697] * vX_[4085] +
+ vX_[7697] * vX_[4085];
+ jac[1210] = vX_[7254] * vX_[3834] + vX_[8181] * vX_[4096] + vX_[8585] * vX_[4083] + vX_[7691] * vX_[4104] +
+ vX_[7697] + vX_[3423] * vX_[903] + vX_[7118] * vX_[857];
+ vX_[6942] = vX_[6897] + vX_[6942] + vX_[6231];
+ vX_[6942] = vX_[7767] * -0.08 + vX_[6900] * vX_[186] + vX_[6475] * vX_[166] + vX_[7760] * vX_[3838] +
+ vX_[7068] * vX_[806] + vX_[7770] * vX_[824] + vX_[6907] * vX_[3807] + vX_[6942] * vX_[4087] +
+ vX_[6942] * vX_[4087];
+ jac[1102] = vX_[7735] * vX_[1857] + vX_[7902] * vX_[3838] + vX_[6898] * vX_[1088] + vX_[5843] * vX_[824] +
+ vX_[6942] + vX_[3496] * vX_[1220] + vX_[3653] * vX_[1171];
+ vX_[7391] = vX_[7439] + vX_[7391] + vX_[4894];
+ vX_[7391] = vX_[8270] * 0.08 + vX_[4898] * vX_[304] + vX_[7516] * vX_[276] + vX_[2743] * vX_[1777] +
+ vX_[6188] * vX_[1126] + vX_[7427] * vX_[1274] + vX_[6676] * vX_[1130] + vX_[7391] * vX_[1026] +
+ vX_[7391] * vX_[1026];
+ jac[994] = vX_[6955] * vX_[835] + vX_[3159] * vX_[1777] + vX_[7440] * vX_[1101] + vX_[4966] * vX_[1274] +
+ vX_[7391] + vX_[3569] * vX_[1530] + vX_[5759] * vX_[1483];
+ vX_[6256] = vX_[6204] + vX_[6256] + vX_[6185];
+ vX_[6256] = vX_[7530] * -0.08 + vX_[6203] * vX_[421] + vX_[6206] * vX_[394] + vX_[2769] * vX_[4129] +
+ vX_[6255] * vX_[1543] + vX_[7458] * vX_[1882] + vX_[6252] * vX_[2916] + vX_[6256] * vX_[10] +
+ vX_[6256] * vX_[10];
+ jac[670] = vX_[7217] * x_in[23] + vX_[8354] * x_in[22] + vX_[7870] * x_in[20] + vX_[7277] * x_in[19] +
+ vX_[5179] * x_in[18] + vX_[5179] * x_in[18] + vX_[7697] + vX_[7763] * vX_[706] + vX_[2977] * vX_[27] +
+ vX_[1869] * vX_[1038] + vX_[2793] * vX_[164] + vX_[6942] * -1 + vX_[7391] + vX_[3143] * vX_[1341] +
+ vX_[7415] * vX_[274] + vX_[7457] * vX_[1659] + vX_[6147] * vX_[392] + vX_[6256] * -1 +
+ vX_[3423] * vX_[890] + vX_[1944] * vX_[871] + vX_[3496] * vX_[1206] + vX_[6284] * vX_[1188] +
+ vX_[3569] * vX_[1517] + vX_[7002] * vX_[1498] + vX_[3642] * vX_[1827] + vX_[6192] * vX_[1808];
+ jac[886] = vX_[6245] * vX_[4026] + vX_[7488] * vX_[4129] + vX_[6212] * vX_[4131] + vX_[6193] * vX_[1882] +
+ vX_[6256] + vX_[3642] * vX_[1840] + vX_[6176] * vX_[1794];
+ vX_[6256] = vX_[3745] * -53.433;
+ vX_[6212] = vX_[3752] * -1.1915559;
+ vX_[6193] = vX_[3763] * 2.0678571;
+ vX_[6245] = vX_[6256] - vX_[6212] + vX_[6193];
+ vX_[7488] = vX_[2917] * 53.433 + (0 - vX_[3757]) * -1.1915559 + vX_[3763] * -0.0053433;
+ vX_[7391] = vX_[2917] * -1.1915559 + vX_[3750] * 2.0678571 + vX_[3752] * 0.012668 + (0 - vX_[3757]) * 4.847485 +
+ (0 - vX_[3763]) * -0.00571;
+ vX_[6942] = vX_[3745] * -1.1915559 + vX_[3750] * -0.0053433 + vX_[3752] * 4.374212 + (0 - vX_[3757]) * 0.012668 +
+ vX_[3763] * 0.190812;
+ vX_[7697] = (0 - vX_[2917]) * 2.0678571;
+ vX_[5179] = (0 - vX_[3745]) * -0.0053433;
+ vX_[1944] = (0 - vX_[3752]) * -0.00571;
+ vX_[6284] = vX_[3757] * 0.190812;
+ vX_[7002] = vX_[7697] + vX_[5179] - vX_[1944] - vX_[6284];
+ vX_[7282] = vX_[1645] + vX_[7282] + vX_[383];
+ vX_[7282] = vX_[7460] * 0.08 + vX_[7504] * vX_[76] + vX_[7467] * vX_[4] + vX_[3351] * vX_[4096] +
+ vX_[1240] * vX_[3880] + vX_[7474] * vX_[4104] + vX_[6692] * vX_[4092] + vX_[7282] * vX_[4085] +
+ vX_[7282] * vX_[4085];
+ jac[1211] = vX_[6827] * vX_[3834] + vX_[7685] * vX_[4096] + vX_[1352] * vX_[4083] + vX_[7258] * vX_[4104] +
+ vX_[7282] + vX_[3819] * vX_[903] + vX_[6693] * vX_[857];
+ vX_[6263] = vX_[5851] + vX_[6263] + vX_[6070];
+ vX_[6263] = vX_[6945] * -0.08 + vX_[3640] * vX_[186] + vX_[7502] * vX_[166] + vX_[2771] * vX_[3838] +
+ vX_[5845] * vX_[806] + vX_[6885] * vX_[824] + vX_[6054] * vX_[3807] + vX_[6263] * vX_[4087] +
+ vX_[6263] * vX_[4087];
+ jac[1103] = vX_[6039] * vX_[1857] + vX_[2132] * vX_[3838] + vX_[4381] * vX_[1088] + vX_[6077] * vX_[824] +
+ vX_[6263] + vX_[3892] * vX_[1220] + vX_[3608] * vX_[1171];
+ vX_[7465] = vX_[7076] + vX_[7465] + vX_[7450];
+ vX_[7465] = vX_[7842] * 0.08 + vX_[1260] * vX_[304] + vX_[8730] * vX_[276] + vX_[3170] * vX_[1777] +
+ vX_[7377] * vX_[1126] + vX_[6539] * vX_[1274] + vX_[6134] * vX_[1130] + vX_[7465] * vX_[1026] +
+ vX_[7465] * vX_[1026];
+ jac[995] = vX_[6570] * vX_[835] + vX_[3565] * vX_[1777] + vX_[6311] * vX_[1101] + vX_[1970] * vX_[1274] +
+ vX_[7465] + vX_[3965] * vX_[1530] + vX_[6551] * vX_[1483];
+ vX_[5389] = vX_[5334] + vX_[5389] + vX_[5343];
+ vX_[5389] = vX_[6664] * -0.08 + vX_[5328] * vX_[421] + vX_[5364] * vX_[394] + vX_[6576] * vX_[4129] +
+ vX_[5387] * vX_[1543] + vX_[6516] * vX_[1882] + vX_[5379] * vX_[2916] + vX_[5389] * vX_[10] +
+ vX_[5389] * vX_[10];
+ jac[671] = vX_[6245] * x_in[23] + vX_[7488] * x_in[22] + vX_[7391] * x_in[20] + vX_[6942] * x_in[19] +
+ vX_[7002] * x_in[18] + vX_[7002] * x_in[18] + vX_[7282] + vX_[8610] * vX_[706] + vX_[3383] * vX_[27] +
+ vX_[6884] * vX_[1038] + vX_[4045] * vX_[164] + vX_[6263] * -1 + vX_[7465] + vX_[3549] * vX_[1341] +
+ vX_[7921] * vX_[274] + vX_[6590] * vX_[1659] + vX_[5386] * vX_[392] + vX_[5389] * -1 +
+ vX_[3819] * vX_[890] + vX_[4323] * vX_[871] + vX_[3892] * vX_[1206] + vX_[3600] * vX_[1188] +
+ vX_[3965] * vX_[1517] + vX_[6556] * vX_[1498] + vX_[4038] * vX_[1827] + vX_[5314] * vX_[1808];
+ jac[887] = vX_[5373] * vX_[4026] + vX_[6622] * vX_[4129] + vX_[5339] * vX_[4131] + vX_[5331] * vX_[1882] +
+ vX_[5389] + vX_[4038] * vX_[1840] + vX_[5312] * vX_[1794];
+ vX_[5389] = vX_[4160] * -53.433;
+ vX_[5339] = vX_[4152] * -1.1915559;
+ vX_[5331] = vX_[4178] * 2.0678571;
+ vX_[5373] = vX_[5389] - vX_[5339] + vX_[5331];
+ vX_[6622] = vX_[4162] * 53.433 + (0 - vX_[4147]) * -1.1915559 + vX_[4178] * -0.0053433;
+ vX_[7465] = vX_[4162] * -1.1915559 + vX_[4150] * 2.0678571 + vX_[4152] * 0.012668 + (0 - vX_[4147]) * 4.847485 +
+ (0 - vX_[4178]) * -0.00571;
+ vX_[6263] = vX_[4160] * -1.1915559 + vX_[4150] * -0.0053433 + vX_[4152] * 4.374212 + (0 - vX_[4147]) * 0.012668 +
+ vX_[4178] * 0.190812;
+ vX_[7282] = (0 - vX_[4162]) * 2.0678571;
+ vX_[7002] = (0 - vX_[4160]) * -0.0053433;
+ vX_[4323] = (0 - vX_[4152]) * -0.00571;
+ vX_[3600] = vX_[4147] * 0.190812;
+ vX_[6556] = vX_[7282] + vX_[7002] - vX_[4323] - vX_[3600];
+ vX_[6855] = vX_[9240] + vX_[6855] + vX_[915];
+ vX_[6855] = vX_[6620] * 0.08 + vX_[6639] * vX_[76] + vX_[6591] * vX_[4] + vX_[3747] * vX_[4096] +
+ vX_[2744] * vX_[3880] + vX_[7047] * vX_[4104] + vX_[2729] * vX_[4092] + vX_[6855] * vX_[4085] +
+ vX_[6855] * vX_[4085];
+ jac[1212] = vX_[6398] * vX_[3834] + vX_[7270] * vX_[4096] + vX_[1825] * vX_[4083] + vX_[6831] * vX_[4104] +
+ vX_[6855] + vX_[4234] * vX_[903] + vX_[2712] * vX_[857];
+ vX_[5642] = vX_[5650] + vX_[5642] + vX_[5663];
+ vX_[5642] = vX_[4515] * -0.08 + vX_[5651] * vX_[186] + vX_[2812] * vX_[166] + vX_[6497] * vX_[3838] +
+ vX_[5648] * vX_[806] + vX_[6474] * vX_[824] + vX_[5641] * vX_[3807] + vX_[5642] * vX_[4087] +
+ vX_[5642] * vX_[4087];
+ jac[1104] = vX_[4120] * vX_[1857] + vX_[3193] * vX_[3838] + vX_[5636] * vX_[1088] + vX_[3761] * vX_[824] +
+ vX_[5642] + vX_[4307] * vX_[1220] + vX_[1611] * vX_[1171];
+ vX_[8654] = vX_[8353] + vX_[8654] + vX_[8502];
+ vX_[8654] = vX_[6668] * 0.08 + vX_[8296] * vX_[304] + vX_[6149] * vX_[276] + vX_[3576] * vX_[1777] +
+ vX_[2033] * vX_[1126] + vX_[6167] * vX_[1274] + vX_[825] * vX_[1130] + vX_[8654] * vX_[1026] +
+ vX_[8654] * vX_[1026];
+ jac[996] = vX_[3702] * vX_[835] + vX_[3961] * vX_[1777] + vX_[6130] * vX_[1101] + vX_[5737] * vX_[1274] +
+ vX_[8654] + vX_[4380] * vX_[1530] + vX_[5259] * vX_[1483];
+ vX_[4521] = vX_[4477] + vX_[4521] + vX_[4468];
+ vX_[4521] = vX_[5775] * -0.08 + vX_[4476] * vX_[421] + vX_[4479] * vX_[394] + vX_[5760] * vX_[4129] +
+ vX_[4525] * vX_[1543] + vX_[6629] * vX_[1882] + vX_[4532] * vX_[2916] + vX_[4521] * vX_[10] +
+ vX_[4521] * vX_[10];
+ jac[672] = vX_[5373] * x_in[23] + vX_[6622] * x_in[22] + vX_[7465] * x_in[20] + vX_[6263] * x_in[19] +
+ vX_[6556] * x_in[18] + vX_[6556] * x_in[18] + vX_[6855] + vX_[9376] * vX_[706] + vX_[3779] * vX_[27] +
+ vX_[3202] * vX_[1038] + vX_[5167] * vX_[164] + vX_[5642] * -1 + vX_[8654] + vX_[3945] * vX_[1341] +
+ vX_[6156] * vX_[274] + vX_[5599] * vX_[1659] + vX_[4523] * vX_[392] + vX_[4521] * -1 +
+ vX_[4234] * vX_[890] + vX_[459] * vX_[871] + vX_[4307] * vX_[1206] + vX_[5198] * vX_[1188] +
+ vX_[4380] * vX_[1517] + vX_[5450] * vX_[1498] + vX_[4453] * vX_[1827] + vX_[4400] * vX_[1808];
+ jac[888] = vX_[4528] * vX_[4026] + vX_[5585] * vX_[4129] + vX_[4485] * vX_[4131] + vX_[4456] * vX_[1882] +
+ vX_[4521] + vX_[4453] * vX_[1840] + vX_[4455] * vX_[1794];
+ vX_[4521] = vX_[4589] * -53.433;
+ vX_[4485] = vX_[4581] * -1.1915559;
+ vX_[4456] = vX_[4607] * 2.0678571;
+ vX_[4528] = vX_[4521] - vX_[4485] + vX_[4456];
+ vX_[5585] = vX_[4591] * 53.433 + (0 - vX_[4576]) * -1.1915559 + vX_[4607] * -0.0053433;
+ vX_[8654] = vX_[4591] * -1.1915559 + vX_[4579] * 2.0678571 + vX_[4581] * 0.012668 + (0 - vX_[4576]) * 4.847485 +
+ (0 - vX_[4607]) * -0.00571;
+ vX_[5642] = vX_[4589] * -1.1915559 + vX_[4579] * -0.0053433 + vX_[4581] * 4.374212 + (0 - vX_[4576]) * 0.012668 +
+ vX_[4607] * 0.190812;
+ vX_[6855] = (0 - vX_[4591]) * 2.0678571;
+ vX_[6556] = (0 - vX_[4589]) * -0.0053433;
+ vX_[459] = (0 - vX_[4581]) * -0.00571;
+ vX_[5198] = vX_[4576] * 0.190812;
+ vX_[5450] = vX_[6855] + vX_[6556] - vX_[459] - vX_[5198];
+ vX_[9087] = vX_[2287] + vX_[9087] + vX_[6436];
+ vX_[9087] = vX_[5756] * 0.08 + vX_[3744] * vX_[76] + vX_[5676] * vX_[4] + vX_[4165] * vX_[4096] +
+ vX_[2608] * vX_[3880] + vX_[6441] * vX_[4104] + vX_[4766] * vX_[4092] + vX_[9087] * vX_[4085] +
+ vX_[9087] * vX_[4085];
+ jac[1213] = vX_[2457] * vX_[3834] + vX_[6843] * vX_[4096] + vX_[6424] * vX_[4083] + vX_[6423] * vX_[4104] +
+ vX_[9087] + vX_[4663] * vX_[903] + vX_[7409] * vX_[857];
+ vX_[5207] = vX_[4819] + vX_[5207] + vX_[5270];
+ vX_[5207] = vX_[4428] * -0.08 + vX_[4363] * vX_[186] + vX_[4107] * vX_[166] + vX_[2097] * vX_[3838] +
+ vX_[5199] * vX_[806] + vX_[5186] * vX_[824] + vX_[5205] * vX_[3807] + vX_[5207] * vX_[4087] +
+ vX_[5207] * vX_[4087];
+ jac[1105] = vX_[5195] * vX_[1857] + vX_[5610] * vX_[3838] + vX_[4820] * vX_[1088] + vX_[1355] * vX_[824] +
+ vX_[5207] + vX_[4736] * vX_[1220] + vX_[4794] * vX_[1171];
+ vX_[4996] = vX_[5265] + vX_[4996] + vX_[2609];
+ vX_[4996] = vX_[6585] * 0.08 + vX_[5693] * vX_[304] + vX_[5711] * vX_[276] + vX_[3972] * vX_[1777] +
+ vX_[3981] * vX_[1126] + vX_[5696] * vX_[1274] + vX_[3906] * vX_[1130] + vX_[4996] * vX_[1026] +
+ vX_[4996] * vX_[1026];
+ jac[997] = vX_[4056] * vX_[835] + vX_[4376] * vX_[1777] + vX_[5694] * vX_[1101] + vX_[4988] * vX_[1274] +
+ vX_[4996] + vX_[4809] * vX_[1530] + vX_[1928] * vX_[1483];
+ vX_[2397] = vX_[2426] + vX_[2397] + vX_[2437];
+ vX_[2397] = vX_[4933] * -0.08 + vX_[2446] * vX_[421] + vX_[2458] * vX_[394] + vX_[4042] * vX_[4129] +
+ vX_[2487] * vX_[1543] + vX_[4738] * vX_[1882] + vX_[2504] * vX_[2916] + vX_[2397] * vX_[10] +
+ vX_[2397] * vX_[10];
+ jac[673] = vX_[4528] * x_in[23] + vX_[5585] * x_in[22] + vX_[8654] * x_in[20] + vX_[5642] * x_in[19] +
+ vX_[5450] * x_in[18] + vX_[5450] * x_in[18] + vX_[9087] + vX_[1148] * vX_[706] + vX_[4194] * vX_[27] +
+ vX_[5605] * vX_[1038] + vX_[5204] * vX_[164] + vX_[5207] * -1 + vX_[4996] + vX_[4360] * vX_[1341] +
+ vX_[5697] * vX_[274] + vX_[4737] * vX_[1659] + vX_[2485] * vX_[392] + vX_[2397] * -1 +
+ vX_[4663] * vX_[890] + vX_[5564] * vX_[871] + vX_[4736] * vX_[1206] + vX_[4793] * vX_[1188] +
+ vX_[4809] * vX_[1517] + vX_[1044] * vX_[1498] + vX_[4882] * vX_[1827] + vX_[2429] * vX_[1808];
+ jac[889] = vX_[2488] * vX_[4026] + vX_[4164] * vX_[4129] + vX_[2439] * vX_[4131] + vX_[2178] * vX_[1882] +
+ vX_[2397] + vX_[4882] * vX_[1840] + vX_[2433] * vX_[1794];
+ vX_[2397] = vX_[5018] * -53.433;
+ vX_[2439] = vX_[5010] * -1.1915559;
+ vX_[2178] = vX_[5036] * 2.0678571;
+ vX_[2488] = vX_[2397] - vX_[2439] + vX_[2178];
+ vX_[4164] = vX_[5020] * 53.433 + (0 - vX_[5005]) * -1.1915559 + vX_[5036] * -0.0053433;
+ vX_[4996] = vX_[5020] * -1.1915559 + vX_[5008] * 2.0678571 + vX_[5010] * 0.012668 + (0 - vX_[5005]) * 4.847485 +
+ (0 - vX_[5036]) * -0.00571;
+ vX_[5207] = vX_[5018] * -1.1915559 + vX_[5008] * -0.0053433 + vX_[5010] * 4.374212 + (0 - vX_[5005]) * 0.012668 +
+ vX_[5036] * 0.190812;
+ vX_[9087] = (0 - vX_[5020]) * 2.0678571;
+ vX_[5450] = (0 - vX_[5018]) * -0.0053433;
+ vX_[5564] = (0 - vX_[5010]) * -0.00571;
+ vX_[4793] = vX_[5005] * 0.190812;
+ vX_[1044] = vX_[9087] + vX_[5450] - vX_[5564] - vX_[4793];
+ vX_[5978] = vX_[6018] + vX_[5978] + vX_[1904];
+ vX_[5978] = vX_[4812] * 0.08 + vX_[4824] * vX_[76] + vX_[4756] * vX_[4] + vX_[4594] * vX_[4096] +
+ vX_[6117] * vX_[3880] + vX_[6006] * vX_[4104] + vX_[3519] * vX_[4092] + vX_[5978] * vX_[4085] +
+ vX_[5978] * vX_[4085];
+ jac[1214] = vX_[5145] * vX_[3834] + vX_[6448] * vX_[4096] + vX_[6019] * vX_[4083] + vX_[2098] * vX_[4104] +
+ vX_[5978] + vX_[5092] * vX_[903] + vX_[5568] * vX_[857];
+ vX_[4370] = vX_[4386] + vX_[4370] + vX_[1999];
+ vX_[4370] = vX_[4574] * -0.08 + vX_[4359] * vX_[186] + vX_[4339] * vX_[166] + vX_[5235] * vX_[3838] +
+ vX_[3305] * vX_[806] + vX_[5247] * vX_[824] + vX_[4371] * vX_[3807] + vX_[4370] * vX_[4087] +
+ vX_[4370] * vX_[4087];
+ jac[1106] = vX_[3292] * vX_[1857] + vX_[4007] * vX_[3838] + vX_[4357] * vX_[1088] + vX_[7398] * vX_[824] +
+ vX_[4370] + vX_[5165] * vX_[1220] + vX_[4349] * vX_[1171];
+ vX_[4892] = vX_[4144] + vX_[4892] + vX_[2467];
+ vX_[4892] = vX_[6126] * 0.08 + vX_[2665] * vX_[304] + vX_[2605] * vX_[276] + vX_[4387] * vX_[1777] +
+ vX_[2592] * vX_[1126] + vX_[4572] * vX_[1274] + vX_[4864] * vX_[1130] + vX_[4892] * vX_[1026] +
+ vX_[4892] * vX_[1026];
+ jac[998] = vX_[4876] * vX_[835] + vX_[4805] * vX_[1777] + vX_[2460] * vX_[1101] + vX_[4893] * vX_[1274] +
+ vX_[4892] + vX_[5238] * vX_[1530] + vX_[4843] * vX_[1483];
+ vX_[34] = vX_[1614] + vX_[34] + vX_[1302];
+ vX_[34] = vX_[4413] * -0.08 + vX_[48] * vX_[421] + vX_[1230] * vX_[394] + vX_[3998] * vX_[4129] +
+ vX_[25] * vX_[1543] + vX_[2664] * vX_[1882] + vX_[33] * vX_[2916] + vX_[34] * vX_[10] + vX_[34] * vX_[10];
+ jac[674] = vX_[2488] * x_in[23] + vX_[4164] * x_in[22] + vX_[4996] * x_in[20] + vX_[5207] * x_in[19] +
+ vX_[1044] * x_in[18] + vX_[1044] * x_in[18] + vX_[5978] + vX_[6419] * vX_[706] + vX_[4623] * vX_[27] +
+ vX_[5233] * vX_[1038] + vX_[5701] * vX_[164] + vX_[4370] * -1 + vX_[4892] + vX_[4789] * vX_[1341] +
+ vX_[4605] * vX_[274] + vX_[2738] * vX_[1659] + vX_[21] * vX_[392] + vX_[34] * -1 + vX_[5092] * vX_[890] +
+ vX_[5574] * vX_[871] + vX_[5165] * vX_[1206] + vX_[4347] * vX_[1188] + vX_[5238] * vX_[1517] +
+ vX_[4840] * vX_[1498] + vX_[5311] * vX_[1827] + vX_[4122] * vX_[1808];
+ jac[890] = vX_[23] * vX_[4026] + vX_[4593] * vX_[4129] + vX_[49] * vX_[4131] + vX_[993] * vX_[1882] + vX_[34] +
+ vX_[5311] * vX_[1840] + vX_[4139] * vX_[1794];
+ vX_[34] = vX_[5437] * -53.433;
+ vX_[49] = vX_[5429] * -1.1915559;
+ vX_[993] = vX_[5455] * 2.0678571;
+ vX_[23] = vX_[34] - vX_[49] + vX_[993];
+ vX_[4593] = vX_[5439] * 53.433 + (0 - vX_[5424]) * -1.1915559 + vX_[5455] * -0.0053433;
+ vX_[4892] = vX_[5439] * -1.1915559 + vX_[5427] * 2.0678571 + vX_[5429] * 0.012668 + (0 - vX_[5424]) * 4.847485 +
+ (0 - vX_[5455]) * -0.00571;
+ vX_[4370] = vX_[5437] * -1.1915559 + vX_[5427] * -0.0053433 + vX_[5429] * 4.374212 + (0 - vX_[5424]) * 0.012668 +
+ vX_[5455] * 0.190812;
+ vX_[5978] = (0 - vX_[5439]) * 2.0678571;
+ vX_[1044] = (0 - vX_[5437]) * -0.0053433;
+ vX_[5574] = (0 - vX_[5429]) * -0.00571;
+ vX_[4347] = vX_[5424] * 0.190812;
+ vX_[4840] = vX_[5978] + vX_[1044] - vX_[5574] - vX_[4347];
+ vX_[5134] = vX_[5545] + vX_[5134] + vX_[5549];
+ vX_[5134] = vX_[2756] * 0.08 + vX_[2828] * vX_[76] + vX_[2739] * vX_[4] + vX_[5023] * vX_[4096] +
+ vX_[5149] * vX_[3880] + vX_[5547] * vX_[4104] + vX_[5175] * vX_[4092] + vX_[5134] * vX_[4085] +
+ vX_[5134] * vX_[4085];
+ jac[1215] = vX_[5155] * vX_[3834] + vX_[5975] * vX_[4096] + vX_[5546] * vX_[4083] + vX_[5882] * vX_[4104] +
+ vX_[5134] + vX_[5511] * vX_[903] + vX_[7401] * vX_[857];
+ vX_[3927] = vX_[5790] + vX_[3927] + vX_[7482];
+ vX_[3927] = vX_[5682] * -0.08 + vX_[3580] * vX_[186] + vX_[7515] * vX_[166] + vX_[2922] * vX_[3838] +
+ vX_[3922] * vX_[806] + vX_[4296] * vX_[824] + vX_[3926] * vX_[3807] + vX_[3927] * vX_[4087] +
+ vX_[3927] * vX_[4087];
+ jac[1107] = vX_[3930] * vX_[1857] + vX_[3920] * vX_[3838] + vX_[6961] * vX_[1088] + vX_[3554] * vX_[824] +
+ vX_[3927] + vX_[5584] * vX_[1220] + vX_[3559] * vX_[1171];
+ vX_[4429] = vX_[4462] + vX_[4429] + vX_[4461];
+ vX_[4429] = vX_[5260] * 0.08 + vX_[2866] * vX_[304] + vX_[4404] * vX_[276] + vX_[4816] * vX_[1777] +
+ vX_[3759] * vX_[1126] + vX_[4451] * vX_[1274] + vX_[6517] * vX_[1130] + vX_[4429] * vX_[1026] +
+ vX_[4429] * vX_[1026];
+ jac[999] = vX_[5587] * vX_[835] + vX_[5234] * vX_[1777] + vX_[2892] * vX_[1101] + vX_[4424] * vX_[1274] +
+ vX_[4429] + vX_[5657] * vX_[1530] + vX_[5166] * vX_[1483];
+ vX_[3680] = vX_[3328] + vX_[3680] + vX_[3330];
+ vX_[3680] = vX_[4842] * -0.08 + vX_[3320] * vX_[421] + vX_[3441] * vX_[394] + vX_[4449] * vX_[4129] +
+ vX_[3677] * vX_[1543] + vX_[1610] * vX_[1882] + vX_[3663] * vX_[2916] + vX_[3680] * vX_[10] +
+ vX_[3680] * vX_[10];
+ jac[675] = vX_[23] * x_in[23] + vX_[4593] * x_in[22] + vX_[4892] * x_in[20] + vX_[4370] * x_in[19] +
+ vX_[4840] * x_in[18] + vX_[4840] * x_in[18] + vX_[5134] + vX_[5981] * vX_[706] + vX_[5052] * vX_[27] +
+ vX_[6806] * vX_[1038] + vX_[3929] * vX_[164] + vX_[3927] * -1 + vX_[4429] + vX_[5218] * vX_[1341] +
+ vX_[4448] * vX_[274] + vX_[1925] * vX_[1659] + vX_[3673] * vX_[392] + vX_[3680] * -1 +
+ vX_[5511] * vX_[890] + vX_[3916] * vX_[871] + vX_[5584] * vX_[1206] + vX_[3560] * vX_[1188] +
+ vX_[5657] * vX_[1517] + vX_[5514] * vX_[1498] + vX_[5730] * vX_[1827] + vX_[3313] * vX_[1808];
+ jac[891] = vX_[3667] * vX_[4026] + vX_[5022] * vX_[4129] + vX_[3334] * vX_[4131] + vX_[3316] * vX_[1882] +
+ vX_[3680] + vX_[5730] * vX_[1840] + vX_[3296] * vX_[1794];
+ vX_[3680] = vX_[5866] * -53.433;
+ vX_[3334] = vX_[5858] * -1.1915559;
+ vX_[3316] = vX_[5884] * 2.0678571;
+ vX_[3667] = vX_[3680] - vX_[3334] + vX_[3316];
+ vX_[5022] = vX_[5868] * 53.433 + (0 - vX_[5853]) * -1.1915559 + vX_[5884] * -0.0053433;
+ vX_[4429] = vX_[5868] * -1.1915559 + vX_[5856] * 2.0678571 + vX_[5858] * 0.012668 + (0 - vX_[5853]) * 4.847485 +
+ (0 - vX_[5884]) * -0.00571;
+ vX_[3927] = vX_[5866] * -1.1915559 + vX_[5856] * -0.0053433 + vX_[5858] * 4.374212 + (0 - vX_[5853]) * 0.012668 +
+ vX_[5884] * 0.190812;
+ vX_[5134] = (0 - vX_[5868]) * 2.0678571;
+ vX_[4840] = (0 - vX_[5866]) * -0.0053433;
+ vX_[3916] = (0 - vX_[5858]) * -0.00571;
+ vX_[3560] = vX_[5853] * 0.190812;
+ vX_[5514] = vX_[5134] + vX_[4840] - vX_[3916] - vX_[3560];
+ vX_[5237] = vX_[4702] + vX_[5237] + vX_[4705];
+ vX_[5237] = vX_[1981] * 0.08 + vX_[2003] * vX_[76] + vX_[1979] * vX_[4] + vX_[5442] * vX_[4096] +
+ vX_[6946] * vX_[3880] + vX_[7532] * vX_[4104] + vX_[4786] * vX_[4092] + vX_[5237] * vX_[4085] +
+ vX_[5237] * vX_[4085];
+ jac[1216] = vX_[4791] * vX_[3834] + vX_[3118] * vX_[4096] + vX_[5728] * vX_[4083] + vX_[4688] * vX_[4104] +
+ vX_[5237] + vX_[5940] * vX_[903] + vX_[4733] * vX_[857];
+ vX_[7443] = vX_[6682] + vX_[7443] + vX_[9077];
+ vX_[7443] = vX_[8801] * -0.08 + vX_[3140] * vX_[186] + vX_[3135] * vX_[166] + vX_[3938] * vX_[3838] +
+ vX_[4325] * vX_[806] + vX_[3973] * vX_[824] + vX_[7429] * vX_[3807] + vX_[7443] * vX_[4087] +
+ vX_[7443] * vX_[4087];
+ jac[1108] = vX_[4246] * vX_[1857] + vX_[8793] * vX_[3838] + vX_[3168] * vX_[1088] + vX_[3132] * vX_[824] +
+ vX_[7443] + vX_[6013] * vX_[1220] + vX_[3125] * vX_[1171];
+ vX_[7100] = vX_[4006] + vX_[7100] + vX_[3999];
+ vX_[7100] = vX_[4853] * 0.08 + vX_[4019] * vX_[304] + vX_[5415] * vX_[276] + vX_[5245] * vX_[1777] +
+ vX_[3632] * vX_[1126] + vX_[5394] * vX_[1274] + vX_[3627] * vX_[1130] + vX_[7100] * vX_[1026] +
+ vX_[7100] * vX_[1026];
+ jac[1000] = vX_[3633] * vX_[835] + vX_[5653] * vX_[1777] + vX_[4001] * vX_[1101] + vX_[3995] * vX_[1274] +
+ vX_[7100] + vX_[6086] * vX_[1530] + vX_[3639] * vX_[1483];
+ vX_[8778] = vX_[8504] + vX_[8778] + vX_[8364];
+ vX_[8778] = vX_[5271] * -0.08 + vX_[8506] * vX_[421] + vX_[8648] * vX_[394] + vX_[4878] * vX_[4129] +
+ vX_[8748] * vX_[1543] + vX_[3730] * vX_[1882] + vX_[8768] * vX_[2916] + vX_[8778] * vX_[10] +
+ vX_[8778] * vX_[10];
+ jac[676] = vX_[3667] * x_in[23] + vX_[5022] * x_in[22] + vX_[4429] * x_in[20] + vX_[3927] * x_in[19] +
+ vX_[5514] * x_in[18] + vX_[5514] * x_in[18] + vX_[5237] + vX_[3284] * vX_[706] + vX_[5471] * vX_[27] +
+ vX_[3963] * vX_[1038] + vX_[7424] * vX_[164] + vX_[7443] * -1 + vX_[7100] + vX_[5637] * vX_[1341] +
+ vX_[5347] * vX_[274] + vX_[3723] * vX_[1659] + vX_[8755] * vX_[392] + vX_[8778] * -1 +
+ vX_[5940] * vX_[890] + vX_[4744] * vX_[871] + vX_[6013] * vX_[1206] + vX_[3124] * vX_[1188] +
+ vX_[6086] * vX_[1517] + vX_[3650] * vX_[1498] + vX_[6159] * vX_[1827] + vX_[8374] * vX_[1808];
+ jac[892] = vX_[8759] * vX_[4026] + vX_[5441] * vX_[4129] + vX_[8508] * vX_[4131] + vX_[8378] * vX_[1882] +
+ vX_[8778] + vX_[6159] * vX_[1840] + vX_[8368] * vX_[1794];
+ vX_[8778] = vX_[6295] * -53.433;
+ vX_[8508] = vX_[6287] * -1.1915559;
+ vX_[8378] = vX_[6313] * 2.0678571;
+ vX_[8759] = vX_[8778] - vX_[8508] + vX_[8378];
+ vX_[5441] = vX_[6297] * 53.433 + (0 - vX_[6282]) * -1.1915559 + vX_[6313] * -0.0053433;
+ vX_[7100] = vX_[6297] * -1.1915559 + vX_[6285] * 2.0678571 + vX_[6287] * 0.012668 + (0 - vX_[6282]) * 4.847485 +
+ (0 - vX_[6313]) * -0.00571;
+ vX_[7443] = vX_[6295] * -1.1915559 + vX_[6285] * -0.0053433 + vX_[6287] * 4.374212 + (0 - vX_[6282]) * 0.012668 +
+ vX_[6313] * 0.190812;
+ vX_[5237] = (0 - vX_[6297]) * 2.0678571;
+ vX_[5514] = (0 - vX_[6295]) * -0.0053433;
+ vX_[4744] = (0 - vX_[6287]) * -0.00571;
+ vX_[3124] = vX_[6282] * 0.190812;
+ vX_[3650] = vX_[5237] + vX_[5514] - vX_[4744] - vX_[3124];
+ vX_[5206] = vX_[4263] + vX_[5206] + vX_[5607];
+ vX_[5206] = vX_[912] * 0.08 + vX_[992] * vX_[76] + vX_[3743] * vX_[4] + vX_[5871] * vX_[4096] +
+ vX_[4304] * vX_[3880] + vX_[5418] * vX_[4104] + vX_[4875] * vX_[4092] + vX_[5206] * vX_[4085] +
+ vX_[5206] * vX_[4085];
+ jac[1217] = vX_[4315] * vX_[3834] + vX_[5236] * vX_[4096] + vX_[1762] * vX_[4083] + vX_[5652] * vX_[4104] +
+ vX_[5206] + vX_[6369] * vX_[903] + vX_[3992] * vX_[857];
+ vX_[2694] = vX_[9075] + vX_[2694] + vX_[2321];
+ vX_[2694] = vX_[3107] * -0.08 + vX_[9076] * vX_[186] + vX_[9216] * vX_[166] + vX_[1308] * vX_[3838] +
+ vX_[2701] * vX_[806] + vX_[2704] * vX_[824] + vX_[2693] * vX_[3807] + vX_[2694] * vX_[4087] +
+ vX_[2694] * vX_[4087];
+ jac[1109] = vX_[2699] * vX_[1857] + vX_[1468] * vX_[3838] + vX_[1955] * vX_[1088] + vX_[2326] * vX_[824] +
+ vX_[2694] + vX_[6442] * vX_[1220] + vX_[8688] * vX_[1171];
+ vX_[3185] = vX_[7075] + vX_[3185] + vX_[8338];
+ vX_[3185] = vX_[4421] * 0.08 + vX_[7485] * vX_[304] + vX_[5840] * vX_[276] + vX_[5664] * vX_[1777] +
+ vX_[3195] * vX_[1126] + vX_[2959] * vX_[1274] + vX_[7069] * vX_[1130] + vX_[3185] * vX_[1026] +
+ vX_[3185] * vX_[1026];
+ jac[1001] = vX_[7362] * vX_[835] + vX_[6082] * vX_[1777] + vX_[7437] * vX_[1101] + vX_[2956] * vX_[1274] +
+ vX_[3185] + vX_[6515] * vX_[1530] + vX_[3198] * vX_[1483];
+ vX_[7501] = vX_[7227] + vX_[7501] + vX_[7229];
+ vX_[7501] = vX_[5690] * -0.08 + vX_[7306] * vX_[421] + vX_[7448] * vX_[394] + vX_[5307] * vX_[4129] +
+ vX_[7493] * vX_[1543] + vX_[1001] * vX_[1882] + vX_[7507] * vX_[2916] + vX_[7501] * vX_[10] +
+ vX_[7501] * vX_[10];
+ jac[677] = vX_[8759] * x_in[23] + vX_[5441] * x_in[22] + vX_[7100] * x_in[20] + vX_[7443] * x_in[19] +
+ vX_[3650] * x_in[18] + vX_[3650] * x_in[18] + vX_[5206] + vX_[4690] * vX_[706] + vX_[5900] * vX_[27] +
+ vX_[2684] * vX_[1038] + vX_[2289] * vX_[164] + vX_[2694] * -1 + vX_[3185] + vX_[6066] * vX_[1341] +
+ vX_[7466] * vX_[274] + vX_[8995] * vX_[1659] + vX_[7490] * vX_[392] + vX_[7501] * -1 +
+ vX_[6369] * vX_[890] + vX_[4283] * vX_[871] + vX_[6442] * vX_[1206] + vX_[8691] * vX_[1188] +
+ vX_[6515] * vX_[1517] + vX_[3197] * vX_[1498] + vX_[6588] * vX_[1827] + vX_[7099] * vX_[1808];
+ jac[893] = vX_[7473] * vX_[4026] + vX_[5870] * vX_[4129] + vX_[7231] * vX_[4131] + vX_[7091] * vX_[1882] +
+ vX_[7501] + vX_[6588] * vX_[1840] + vX_[7105] * vX_[1794];
+ vX_[7501] = vX_[6714] * -53.433;
+ vX_[7231] = vX_[6706] * -1.1915559;
+ vX_[7091] = vX_[6732] * 2.0678571;
+ vX_[7473] = vX_[7501] - vX_[7231] + vX_[7091];
+ vX_[5870] = vX_[6716] * 53.433 + (0 - vX_[6701]) * -1.1915559 + vX_[6732] * -0.0053433;
+ vX_[3185] = vX_[6716] * -1.1915559 + vX_[6704] * 2.0678571 + vX_[6706] * 0.012668 + (0 - vX_[6701]) * 4.847485 +
+ (0 - vX_[6732]) * -0.00571;
+ vX_[2694] = vX_[6714] * -1.1915559 + vX_[6704] * -0.0053433 + vX_[6706] * 4.374212 + (0 - vX_[6701]) * 0.012668 +
+ vX_[6732] * 0.190812;
+ vX_[5206] = (0 - vX_[6716]) * 2.0678571;
+ vX_[3650] = (0 - vX_[6714]) * -0.0053433;
+ vX_[4283] = (0 - vX_[6706]) * -0.00571;
+ vX_[8691] = vX_[6701] * 0.190812;
+ vX_[3197] = vX_[5206] + vX_[3650] - vX_[4283] - vX_[8691];
+ vX_[3840] = vX_[6030] + vX_[3840] + vX_[4430];
+ vX_[3840] = vX_[1622] * 0.08 + vX_[9129] * vX_[76] + vX_[9061] * vX_[4] + vX_[6300] * vX_[4096] +
+ vX_[4415] * vX_[3880] + vX_[7922] * vX_[4104] + vX_[6357] * vX_[4092] + vX_[3840] * vX_[4085] +
+ vX_[3840] * vX_[4085];
+ jac[1218] = vX_[3868] * vX_[3834] + vX_[4872] * vX_[4096] + vX_[6509] * vX_[4083] + vX_[4452] * vX_[4104] +
+ vX_[3840] + vX_[6788] * vX_[903] + vX_[5847] * vX_[857];
+ vX_[1736] = vX_[551] + vX_[1736] + vX_[1387];
+ vX_[1736] = vX_[8259] * -0.08 + vX_[1626] * vX_[186] + vX_[4134] * vX_[166] + vX_[2870] * vX_[3838] +
+ vX_[1751] * vX_[806] + vX_[2707] * vX_[824] + vX_[1745] * vX_[3807] + vX_[1736] * vX_[4087] +
+ vX_[1736] * vX_[4087];
+ jac[1110] = vX_[1592] * vX_[1857] + vX_[2733] * vX_[3838] + vX_[8850] * vX_[1088] + vX_[1379] * vX_[824] +
+ vX_[1736] + vX_[6861] * vX_[1220] + vX_[1371] * vX_[1171];
+ vX_[2384] = vX_[7895] + vX_[2384] + vX_[7703];
+ vX_[2384] = vX_[6233] * 0.08 + vX_[7807] * vX_[304] + vX_[6270] * vX_[276] + vX_[6093] * vX_[1777] +
+ vX_[3696] * vX_[1126] + vX_[2818] * vX_[1274] + vX_[832] * vX_[1130] + vX_[2384] * vX_[1026] +
+ vX_[2384] * vX_[1026];
+ jac[1002] = vX_[3557] * vX_[835] + vX_[6511] * vX_[1777] + vX_[2817] * vX_[1101] + vX_[7933] * vX_[1274] +
+ vX_[2384] + vX_[6934] * vX_[1530] + vX_[3280] * vX_[1483];
+ vX_[6236] = vX_[6027] + vX_[6236] + vX_[5952];
+ vX_[6236] = vX_[6119] * -0.08 + vX_[6029] * vX_[421] + vX_[6171] * vX_[394] + vX_[5726] * vX_[4129] +
+ vX_[6232] * vX_[1543] + vX_[7733] * vX_[1882] + vX_[6230] * vX_[2916] + vX_[6236] * vX_[10] +
+ vX_[6236] * vX_[10];
+ jac[678] = vX_[7473] * x_in[23] + vX_[5870] * x_in[22] + vX_[3185] * x_in[20] + vX_[2694] * x_in[19] +
+ vX_[3197] * x_in[18] + vX_[3197] * x_in[18] + vX_[3840] + vX_[3852] * vX_[706] + vX_[6329] * vX_[27] +
+ vX_[2745] * vX_[1038] + vX_[1792] * vX_[164] + vX_[1736] * -1 + vX_[2384] + vX_[6495] * vX_[1341] +
+ vX_[7881] * vX_[274] + vX_[7802] * vX_[1659] + vX_[6201] * vX_[392] + vX_[6236] * -1 +
+ vX_[6788] * vX_[890] + vX_[6476] * vX_[871] + vX_[6861] * vX_[1206] + vX_[1382] * vX_[1188] +
+ vX_[6934] * vX_[1517] + vX_[3693] * vX_[1498] + vX_[7007] * vX_[1827] + vX_[5811] * vX_[1808];
+ jac[894] = vX_[6218] * vX_[4026] + vX_[6299] * vX_[4129] + vX_[6031] * vX_[4131] + vX_[5954] * vX_[1882] +
+ vX_[6236] + vX_[7007] * vX_[1840] + vX_[5814] * vX_[1794];
+ vX_[6236] = vX_[7141] * -53.433;
+ vX_[6031] = vX_[7133] * -1.1915559;
+ vX_[5954] = vX_[7159] * 2.0678571;
+ vX_[6218] = vX_[6236] - vX_[6031] + vX_[5954];
+ vX_[6299] = vX_[7143] * 53.433 + (0 - vX_[7128]) * -1.1915559 + vX_[7159] * -0.0053433;
+ vX_[2384] = vX_[7143] * -1.1915559 + vX_[7131] * 2.0678571 + vX_[7133] * 0.012668 + (0 - vX_[7128]) * 4.847485 +
+ (0 - vX_[7159]) * -0.00571;
+ vX_[1736] = vX_[7141] * -1.1915559 + vX_[7131] * -0.0053433 + vX_[7133] * 4.374212 + (0 - vX_[7128]) * 0.012668 +
+ vX_[7159] * 0.190812;
+ vX_[3840] = (0 - vX_[7143]) * 2.0678571;
+ vX_[3197] = (0 - vX_[7141]) * -0.0053433;
+ vX_[6476] = (0 - vX_[7133]) * -0.00571;
+ vX_[1382] = vX_[7128] * 0.190812;
+ vX_[3693] = vX_[3840] + vX_[3197] - vX_[6476] - vX_[1382];
+ vX_[8063] = vX_[3070] + vX_[8063] + vX_[3444];
+ vX_[8063] = vX_[7879] * 0.08 + vX_[7877] * vX_[76] + vX_[7800] * vX_[4] + vX_[6719] * vX_[4096] +
+ vX_[3363] * vX_[3880] + vX_[8921] * vX_[4104] + vX_[1965] * vX_[4092] + vX_[8063] * vX_[4085] +
+ vX_[8063] * vX_[4085];
+ jac[1219] = vX_[2491] * vX_[3834] + vX_[6925] * vX_[4096] + vX_[7755] * vX_[4083] + vX_[3479] * vX_[4104] +
+ vX_[8063] + vX_[7215] * vX_[903] + vX_[3501] * vX_[857];
+ vX_[1630] = vX_[1417] + vX_[1630] + vX_[1411];
+ vX_[1630] = vX_[43] * -0.08 + vX_[1444] * vX_[186] + vX_[1478] * vX_[166] + vX_[47] * vX_[3838] +
+ vX_[1593] * vX_[806] + vX_[4917] * vX_[824] + vX_[1599] * vX_[3807] + vX_[1630] * vX_[4087] +
+ vX_[1630] * vX_[4087];
+ jac[1111] = vX_[1584] * vX_[1857] + vX_[1916] * vX_[3838] + vX_[1419] * vX_[1088] + vX_[1408] * vX_[824] +
+ vX_[1630] + vX_[7288] * vX_[1220] + vX_[1403] * vX_[1171];
+ vX_[721] = vX_[2374] + vX_[721] + vX_[1679];
+ vX_[721] = vX_[7031] * 0.08 + vX_[8907] * vX_[304] + vX_[2403] * vX_[276] + vX_[6522] * vX_[1777] +
+ vX_[3238] * vX_[1126] + vX_[2366] * vX_[1274] + vX_[3182] * vX_[1130] + vX_[721] * vX_[1026] +
+ vX_[721] * vX_[1026];
+ jac[1003] = vX_[3237] * vX_[835] + vX_[6930] * vX_[1777] + vX_[2375] * vX_[1101] + vX_[1872] * vX_[1274] +
+ vX_[721] + vX_[7361] * vX_[1530] + vX_[3645] * vX_[1483];
+ vX_[4945] = vX_[4748] + vX_[4945] + vX_[4750];
+ vX_[4945] = vX_[6548] * -0.08 + vX_[4827] * vX_[421] + vX_[4909] * vX_[394] + vX_[6155] * vX_[4129] +
+ vX_[4953] * vX_[1543] + vX_[6458] * vX_[1882] + vX_[4942] * vX_[2916] + vX_[4945] * vX_[10] +
+ vX_[4945] * vX_[10];
+ jac[679] = vX_[6218] * x_in[23] + vX_[6299] * x_in[22] + vX_[2384] * x_in[20] + vX_[1736] * x_in[19] +
+ vX_[3693] * x_in[18] + vX_[3693] * x_in[18] + vX_[8063] + vX_[3507] * vX_[706] + vX_[6748] * vX_[27] +
+ vX_[1349] * vX_[1038] + vX_[1582] * vX_[164] + vX_[1630] * -1 + vX_[721] + vX_[6914] * vX_[1341] +
+ vX_[2367] * vX_[274] + vX_[6527] * vX_[1659] + vX_[4951] * vX_[392] + vX_[4945] * -1 +
+ vX_[7215] * vX_[890] + vX_[3470] * vX_[871] + vX_[7288] * vX_[1206] + vX_[1391] * vX_[1188] +
+ vX_[7361] * vX_[1517] + vX_[1737] * vX_[1498] + vX_[7434] * vX_[1827] + vX_[4554] * vX_[1808];
+ jac[895] = vX_[4955] * vX_[4026] + vX_[6718] * vX_[4129] + vX_[4752] * vX_[4131] + vX_[4675] * vX_[1882] +
+ vX_[4945] + vX_[7434] * vX_[1840] + vX_[4677] * vX_[1794];
+ vX_[4945] = vX_[7568] * -53.433;
+ vX_[4752] = vX_[7560] * -1.1915559;
+ vX_[4675] = vX_[7586] * 2.0678571;
+ vX_[4955] = vX_[4945] - vX_[4752] + vX_[4675];
+ vX_[6718] = vX_[7570] * 53.433 + (0 - vX_[7555]) * -1.1915559 + vX_[7586] * -0.0053433;
+ vX_[721] = vX_[7570] * -1.1915559 + vX_[7558] * 2.0678571 + vX_[7560] * 0.012668 + (0 - vX_[7555]) * 4.847485 +
+ (0 - vX_[7586]) * -0.00571;
+ vX_[1630] = vX_[7568] * -1.1915559 + vX_[7558] * -0.0053433 + vX_[7560] * 4.374212 + (0 - vX_[7555]) * 0.012668 +
+ vX_[7586] * 0.190812;
+ vX_[8063] = (0 - vX_[7570]) * 2.0678571;
+ vX_[3693] = (0 - vX_[7568]) * -0.0053433;
+ vX_[3470] = (0 - vX_[7560]) * -0.00571;
+ vX_[1391] = vX_[7555] * 0.190812;
+ vX_[1737] = vX_[8063] + vX_[3693] - vX_[3470] - vX_[1391];
+ vX_[3085] = vX_[3080] + vX_[3085] + vX_[6850];
+ vX_[3085] = vX_[6604] * 0.08 + vX_[6619] * vX_[76] + vX_[6602] * vX_[4] + vX_[7146] * vX_[4096] +
+ vX_[3095] * vX_[3880] + vX_[3100] * vX_[4104] + vX_[3067] * vX_[4092] + vX_[3085] * vX_[4085] +
+ vX_[3085] * vX_[4085];
+ jac[1220] = vX_[3064] * vX_[3834] + vX_[3480] * vX_[4096] + vX_[3074] * vX_[4083] + vX_[5530] * vX_[4104] +
+ vX_[3085] + vX_[7642] * vX_[903] + vX_[3051] * vX_[857];
+ vX_[7847] = vX_[1766] + vX_[7847] + vX_[1818];
+ vX_[7847] = vX_[1388] * -0.08 + vX_[460] * vX_[186] + vX_[9258] * vX_[166] + vX_[2427] * vX_[3838] +
+ vX_[2002] * vX_[806] + vX_[474] * vX_[824] + vX_[2010] * vX_[3807] + vX_[7847] * vX_[4087] +
+ vX_[7847] * vX_[4087];
+ jac[1112] = vX_[1980] * vX_[1857] + vX_[1618] * vX_[3838] + vX_[9199] * vX_[1088] + vX_[8196] * vX_[824] +
+ vX_[7847] + vX_[7715] * vX_[1220] + vX_[9329] * vX_[1171];
+ vX_[6] = vX_[9103] + vX_[6] + vX_[1835];
+ vX_[6] = vX_[2767] * 0.08 + vX_[8684] * vX_[304] + vX_[9373] * vX_[276] + vX_[6941] * vX_[1777] +
+ vX_[1961] * vX_[1126] + vX_[1555] * vX_[1274] + vX_[1658] * vX_[1130] + vX_[6] * vX_[1026] +
+ vX_[6] * vX_[1026];
+ jac[1004] = vX_[1960] * vX_[835] + vX_[7357] * vX_[1777] + vX_[1788] * vX_[1101] + vX_[9357] * vX_[1274] + vX_[6] +
+ vX_[7788] * vX_[1530] + vX_[1881] * vX_[1483];
+ vX_[2499] = vX_[2350] + vX_[2499] + vX_[2275];
+ vX_[2499] = vX_[6967] * -0.08 + vX_[2352] * vX_[421] + vX_[2434] * vX_[394] + vX_[6584] * vX_[4129] +
+ vX_[2469] * vX_[1543] + vX_[5256] * vX_[1882] + vX_[2489] * vX_[2916] + vX_[2499] * vX_[10] +
+ vX_[2499] * vX_[10];
+ jac[680] = vX_[4955] * x_in[23] + vX_[6718] * x_in[22] + vX_[721] * x_in[20] + vX_[1630] * x_in[19] +
+ vX_[1737] * x_in[18] + vX_[1737] * x_in[18] + vX_[3085] + vX_[3481] * vX_[706] + vX_[7175] * vX_[27] +
+ vX_[1309] * vX_[1038] + vX_[1657] * vX_[164] + vX_[7847] * -1 + vX_[6] + vX_[7341] * vX_[1341] +
+ vX_[1812] * vX_[274] + vX_[5325] * vX_[1659] + vX_[2476] * vX_[392] + vX_[2499] * -1 +
+ vX_[7642] * vX_[890] + vX_[3048] * vX_[871] + vX_[7715] * vX_[1206] + vX_[9226] * vX_[1188] +
+ vX_[7788] * vX_[1517] + vX_[1879] * vX_[1498] + vX_[7861] * vX_[1827] + vX_[2208] * vX_[1808];
+ jac[896] = vX_[2480] * vX_[4026] + vX_[7145] * vX_[4129] + vX_[2354] * vX_[4131] + vX_[2277] * vX_[1882] +
+ vX_[2499] + vX_[7861] * vX_[1840] + vX_[2202] * vX_[1794];
+ vX_[2499] = vX_[7987] * -53.433;
+ vX_[2354] = vX_[7979] * -1.1915559;
+ vX_[2277] = vX_[8005] * 2.0678571;
+ vX_[2480] = vX_[2499] - vX_[2354] + vX_[2277];
+ vX_[7145] = vX_[7989] * 53.433 + (0 - vX_[7974]) * -1.1915559 + vX_[8005] * -0.0053433;
+ vX_[6] = vX_[7989] * -1.1915559 + vX_[7977] * 2.0678571 + vX_[7979] * 0.012668 + (0 - vX_[7974]) * 4.847485 +
+ (0 - vX_[8005]) * -0.00571;
+ vX_[7847] = vX_[7987] * -1.1915559 + vX_[7977] * -0.0053433 + vX_[7979] * 4.374212 + (0 - vX_[7974]) * 0.012668 +
+ vX_[8005] * 0.190812;
+ vX_[3085] = (0 - vX_[7989]) * 2.0678571;
+ vX_[1737] = (0 - vX_[7987]) * -0.0053433;
+ vX_[3048] = (0 - vX_[7979]) * -0.00571;
+ vX_[9226] = vX_[7974] * 0.190812;
+ vX_[1879] = vX_[3085] + vX_[1737] - vX_[3048] - vX_[9226];
+ vX_[2634] = vX_[7773] + vX_[2634] + vX_[2658];
+ vX_[2634] = vX_[5342] * 0.08 + vX_[5340] * vX_[76] + vX_[5323] * vX_[4] + vX_[7573] * vX_[4096] +
+ vX_[2624] * vX_[3880] + vX_[1727] * vX_[4104] + vX_[2631] * vX_[4092] + vX_[2634] * vX_[4085] +
+ vX_[2634] * vX_[4085];
+ jac[1221] = vX_[2621] * vX_[3834] + vX_[7322] * vX_[4096] + vX_[7779] * vX_[4083] + vX_[46] * vX_[4104] +
+ vX_[2634] + vX_[8061] * vX_[903] + vX_[2229] * vX_[857];
+ vX_[4100] = vX_[1807] + vX_[4100] + vX_[1837];
+ vX_[4100] = vX_[4920] * -0.08 + vX_[7780] * vX_[186] + vX_[1783] * vX_[166] + vX_[2490] * vX_[3838] +
+ vX_[1901] * vX_[806] + vX_[7816] * vX_[824] + vX_[1140] * vX_[3807] + vX_[4100] * vX_[4087] +
+ vX_[4100] * vX_[4087];
+ jac[1113] = vX_[1940] * vX_[1857] + vX_[8250] * vX_[3838] + vX_[1805] * vX_[1088] + vX_[9350] * vX_[824] +
+ vX_[4100] + vX_[8134] * vX_[1220] + vX_[9363] * vX_[1171];
+ vX_[1743] = vX_[427] + vX_[1743] + vX_[432];
+ vX_[1743] = vX_[3340] * 0.08 + vX_[461] * vX_[304] + vX_[479] * vX_[276] + vX_[7368] * vX_[1777] +
+ vX_[9250] * vX_[1126] + vX_[415] * vX_[1274] + vX_[7865] * vX_[1130] + vX_[1743] * vX_[1026] +
+ vX_[1743] * vX_[1026];
+ jac[1005] = vX_[8433] * vX_[835] + vX_[7784] * vX_[1777] + vX_[438] * vX_[1101] + vX_[430] * vX_[1274] + vX_[1743] +
+ vX_[8207] * vX_[1530] + vX_[9310] * vX_[1483];
+ vX_[1862] = vX_[1207] + vX_[1862] + vX_[874];
+ vX_[1862] = vX_[7394] * -0.08 + vX_[927] * vX_[421] + vX_[1500] * vX_[394] + vX_[7003] * vX_[4129] +
+ vX_[1847] * vX_[1543] + vX_[2752] * vX_[1882] + vX_[1885] * vX_[2916] + vX_[1862] * vX_[10] +
+ vX_[1862] * vX_[10];
+ jac[681] = vX_[2480] * x_in[23] + vX_[7145] * x_in[22] + vX_[6] * x_in[20] + vX_[7847] * x_in[19] +
+ vX_[1879] * x_in[18] + vX_[1879] * x_in[18] + vX_[2634] + vX_[7318] * vX_[706] + vX_[7602] * vX_[27] +
+ vX_[9169] * vX_[1038] + vX_[1732] * vX_[164] + vX_[4100] * -1 + vX_[1743] + vX_[7768] * vX_[1341] +
+ vX_[442] * vX_[274] + vX_[2821] * vX_[1659] + vX_[1813] * vX_[392] + vX_[1862] * -1 +
+ vX_[8061] * vX_[890] + vX_[2230] * vX_[871] + vX_[8134] * vX_[1206] + vX_[9374] * vX_[1188] +
+ vX_[8207] * vX_[1517] + vX_[9308] * vX_[1498] + vX_[8280] * vX_[1827] + vX_[9124] * vX_[1808];
+ jac[897] = vX_[9131] * vX_[4026] + vX_[7572] * vX_[4129] + vX_[1190] * vX_[4131] + vX_[842] * vX_[1882] +
+ vX_[1862] + vX_[8280] * vX_[1840] + vX_[1829] * vX_[1794];
+ vX_[1862] = vX_[8416] * -53.433;
+ vX_[1190] = vX_[8408] * -1.1915559;
+ vX_[842] = vX_[8434] * 2.0678571;
+ vX_[9131] = vX_[1862] - vX_[1190] + vX_[842];
+ vX_[7572] = vX_[8418] * 53.433 + (0 - vX_[8403]) * -1.1915559 + vX_[8434] * -0.0053433;
+ vX_[1743] = vX_[8418] * -1.1915559 + vX_[8406] * 2.0678571 + vX_[8408] * 0.012668 + (0 - vX_[8403]) * 4.847485 +
+ (0 - vX_[8434]) * -0.00571;
+ vX_[4100] = vX_[8416] * -1.1915559 + vX_[8406] * -0.0053433 + vX_[8408] * 4.374212 + (0 - vX_[8403]) * 0.012668 +
+ vX_[8434] * 0.190812;
+ vX_[2634] = (0 - vX_[8418]) * 2.0678571;
+ vX_[1879] = (0 - vX_[8416]) * -0.0053433;
+ vX_[2230] = (0 - vX_[8408]) * -0.00571;
+ vX_[9374] = vX_[8403] * 0.190812;
+ vX_[9308] = vX_[2634] + vX_[1879] - vX_[2230] - vX_[9374];
+ vX_[995] = vX_[7965] + vX_[995] + vX_[2272];
+ vX_[995] = vX_[2838] * 0.08 + vX_[2798] * vX_[76] + vX_[2836] * vX_[4] + vX_[7992] * vX_[4096] +
+ vX_[286] * vX_[3880] + vX_[7973] * vX_[4104] + vX_[2228] * vX_[4092] + vX_[995] * vX_[4085] +
+ vX_[995] * vX_[4085];
+ jac[1222] = vX_[1631] * vX_[3834] + vX_[2660] * vX_[4096] + vX_[7967] * vX_[4083] + vX_[2271] * vX_[4104] +
+ vX_[995] + vX_[8490] * vX_[903] + vX_[1056] * vX_[857];
+ vX_[3245] = vX_[2418] + vX_[3245] + vX_[2407];
+ vX_[3245] = vX_[9303] * -0.08 + vX_[8804] * vX_[186] + vX_[1682] * vX_[166] + vX_[480] * vX_[3838] +
+ vX_[7335] * vX_[806] + vX_[465] * vX_[824] + vX_[2415] * vX_[3807] + vX_[3245] * vX_[4087] +
+ vX_[3245] * vX_[4087];
+ jac[1114] = vX_[2376] * vX_[1857] + vX_[8344] * vX_[3838] + vX_[2380] * vX_[1088] + vX_[8728] * vX_[824] +
+ vX_[3245] + vX_[8563] * vX_[1220] + vX_[8639] * vX_[1171];
+ vX_[9172] = vX_[1779] + vX_[9172] + vX_[1244];
+ vX_[9172] = vX_[1698] * 0.08 + vX_[8659] * vX_[304] + vX_[2886] * vX_[276] + vX_[7795] * vX_[1777] +
+ vX_[9134] * vX_[1126] + vX_[7996] * vX_[1274] + vX_[8258] * vX_[1130] + vX_[9172] * vX_[1026] +
+ vX_[9172] * vX_[1026];
+ jac[1006] = vX_[837] * vX_[835] + vX_[8203] * vX_[1777] + vX_[8004] * vX_[1101] + vX_[911] * vX_[1274] + vX_[9172] +
+ vX_[8636] * vX_[1530] + vX_[1865] * vX_[1483];
+ vX_[9232] = vX_[9264] + vX_[9232] + vX_[9266];
+ vX_[9232] = vX_[7821] * -0.08 + vX_[9261] * vX_[421] + vX_[9254] * vX_[394] + vX_[7430] * vX_[4129] +
+ vX_[9235] * vX_[1543] + vX_[1303] * vX_[1882] + vX_[9233] * vX_[2916] + vX_[9232] * vX_[10] +
+ vX_[9232] * vX_[10];
+ jac[682] = vX_[9131] * x_in[23] + vX_[7572] * x_in[22] + vX_[1743] * x_in[20] + vX_[4100] * x_in[19] +
+ vX_[9308] * x_in[18] + vX_[9308] * x_in[18] + vX_[995] + vX_[2672] * vX_[706] + vX_[8021] * vX_[27] +
+ vX_[8695] * vX_[1038] + vX_[7317] * vX_[164] + vX_[3245] * -1 + vX_[9172] + vX_[8187] * vX_[1341] +
+ vX_[7438] * vX_[274] + vX_[1300] * vX_[1659] + vX_[9238] * vX_[392] + vX_[9232] * -1 +
+ vX_[8490] * vX_[890] + vX_[2048] * vX_[871] + vX_[8563] * vX_[1206] + vX_[8578] * vX_[1188] +
+ vX_[8636] * vX_[1517] + vX_[1851] * vX_[1498] + vX_[8709] * vX_[1827] + vX_[9271] * vX_[1808];
+ jac[898] = vX_[9237] * vX_[4026] + vX_[7991] * vX_[4129] + vX_[9263] * vX_[4131] + vX_[9268] * vX_[1882] +
+ vX_[9232] + vX_[8709] * vX_[1840] + vX_[9270] * vX_[1794];
+ vX_[9232] = vX_[8845] * -53.433;
+ vX_[9263] = vX_[8837] * -1.1915559;
+ vX_[9268] = vX_[8863] * 2.0678571;
+ vX_[9237] = vX_[9232] - vX_[9263] + vX_[9268];
+ vX_[7991] = vX_[8847] * 53.433 + (0 - vX_[8832]) * -1.1915559 + vX_[8863] * -0.0053433;
+ vX_[9172] = vX_[8847] * -1.1915559 + vX_[8835] * 2.0678571 + vX_[8837] * 0.012668 + (0 - vX_[8832]) * 4.847485 +
+ (0 - vX_[8863]) * -0.00571;
+ vX_[3245] = vX_[8845] * -1.1915559 + vX_[8835] * -0.0053433 + vX_[8837] * 4.374212 + (0 - vX_[8832]) * 0.012668 +
+ vX_[8863] * 0.190812;
+ vX_[995] = (0 - vX_[8847]) * 2.0678571;
+ vX_[9308] = (0 - vX_[8845]) * -0.0053433;
+ vX_[2048] = (0 - vX_[8837]) * -0.00571;
+ vX_[8578] = vX_[8832] * 0.190812;
+ vX_[1851] = vX_[995] + vX_[9308] - vX_[2048] - vX_[8578];
+ vX_[420] = vX_[8400] + vX_[420] + vX_[8390];
+ vX_[420] = vX_[1615] * 0.08 + vX_[1650] * vX_[76] + vX_[1459] * vX_[4] + vX_[8421] * vX_[4096] +
+ vX_[1502] * vX_[3880] + vX_[8470] * vX_[4104] + vX_[520] * vX_[4092] + vX_[420] * vX_[4085] +
+ vX_[420] * vX_[4085];
+ jac[1223] = vX_[2050] * vX_[3834] + vX_[8662] * vX_[4096] + vX_[565] * vX_[4083] + vX_[122] * vX_[4104] + vX_[420] +
+ vX_[8919] * vX_[903] + vX_[893] * vX_[857];
+ vX_[5846] = vX_[6685] + vX_[5846] + vX_[6069];
+ vX_[5846] = vX_[1894] * -0.08 + vX_[3227] * vX_[186] + vX_[6274] * vX_[166] + vX_[1941] * vX_[3838] +
+ vX_[3200] * vX_[806] + vX_[3515] * vX_[824] + vX_[7203] * vX_[3807] + vX_[5846] * vX_[4087] +
+ vX_[5846] * vX_[4087];
+ jac[1115] = vX_[3203] * vX_[1857] + vX_[1696] * vX_[3838] + vX_[579] * vX_[1088] + vX_[231] * vX_[824] + vX_[5846] +
+ vX_[8983] * vX_[1220] + vX_[1209] * vX_[1171];
+ vX_[4924] = vX_[2103] + vX_[4924] + vX_[2206];
+ vX_[4924] = vX_[9189] * 0.08 + vX_[7946] * vX_[304] + vX_[2043] * vX_[276] + vX_[8214] * vX_[1777] +
+ vX_[4252] * vX_[1126] + vX_[2425] * vX_[1274] + vX_[546] * vX_[1130] + vX_[4924] * vX_[1026] +
+ vX_[4924] * vX_[1026];
+ jac[1007] = vX_[4321] * vX_[835] + vX_[8632] * vX_[1777] + vX_[593] * vX_[1101] + vX_[350] * vX_[1274] + vX_[4924] +
+ vX_[9047] * vX_[1530] + vX_[1520] * vX_[1483];
+ vX_[9333] = vX_[9358] + vX_[9333] + vX_[9360];
+ vX_[9333] = vX_[8240] * -0.08 + vX_[9356] * vX_[421] + vX_[9349] * vX_[394] + vX_[7857] * vX_[4129] +
+ vX_[9336] * vX_[1543] + vX_[9213] * vX_[1882] + vX_[9334] * vX_[2916] + vX_[9333] * vX_[10] +
+ vX_[9333] * vX_[10];
+ jac[683] = vX_[9237] * x_in[23] + vX_[7991] * x_in[22] + vX_[9172] * x_in[20] + vX_[3245] * x_in[19] +
+ vX_[1851] * x_in[18] + vX_[1851] * x_in[18] + vX_[420] + vX_[2234] * vX_[706] + vX_[756] * vX_[27] +
+ vX_[1689] * vX_[1038] + vX_[6485] * vX_[164] + vX_[5846] * -1 + vX_[4924] + vX_[8616] * vX_[1341] +
+ vX_[1380] * vX_[274] + vX_[9210] * vX_[1659] + vX_[9339] * vX_[392] + vX_[9333] * -1 +
+ vX_[8919] * vX_[890] + vX_[877] * vX_[871] + vX_[8983] * vX_[1206] + vX_[1194] * vX_[1188] +
+ vX_[9047] * vX_[1517] + vX_[1504] * vX_[1498] + vX_[9111] * vX_[1827] + vX_[1814] * vX_[1808];
+ jac[899] = vX_[9338] * vX_[4026] + vX_[8420] * vX_[4129] + vX_[607] * vX_[4131] + vX_[469] * vX_[1882] + vX_[9333] +
+ vX_[9111] * vX_[1840] + vX_[1830] * vX_[1794];
+ vX_[9333] = vX_[632] * 53.433 + (0 - vX_[669]) * -0.0053433 + vX_[673] * 2.0678571;
+ jac[846] = vX_[9333] * x_in[19] + vX_[83] * x_in[18] + vX_[534] * vX_[126] + vX_[8974] * vX_[729] +
+ vX_[1032] * vX_[235] + vX_[4491] * vX_[1050] + vX_[1343] * vX_[354] + vX_[9244] * vX_[1359] +
+ vX_[4113] * vX_[473] + vX_[3443] * vX_[1671] + vX_[983] + vX_[1292] + vX_[1604] + vX_[1918];
+ vX_[83] = 0 - vX_[70];
+ vX_[673] = vX_[714] * -0.0053433 + vX_[738] * 2.0678571 + (0 - vX_[669]) * 0.190812 + vX_[673] * -0.00571 +
+ vX_[162] * 0.473273;
+ vX_[632] = (0 - vX_[632]) * -1.1915559;
+ vX_[162] = (0 - vX_[162]) * 0.012668;
+ vX_[60] = vX_[79] + vX_[632] + vX_[60] - vX_[162];
+ jac[702] = vX_[9333] * x_in[23] + vX_[83] * x_in[21] + vX_[673] * x_in[20] + vX_[4368] * x_in[18] +
+ vX_[60] * x_in[19] + vX_[60] * x_in[19] + vX_[534] * vX_[138] + vX_[8974] * vX_[727] +
+ vX_[3201] * vX_[1] + vX_[6650] * vX_[126] + vX_[1032] * vX_[248] + vX_[4491] * vX_[1053] +
+ vX_[1534] * vX_[249] + vX_[1565] * vX_[247] + vX_[1343] * vX_[366] + vX_[9244] * vX_[1361] +
+ vX_[9119] * vX_[273] + vX_[9120] * vX_[354] + vX_[4113] * vX_[486] + vX_[3443] * vX_[1674] +
+ vX_[3312] * vX_[487] + vX_[3304] * vX_[485] + vX_[6266] * vX_[865] + vX_[8951] * vX_[871] +
+ vX_[9008] * vX_[1182] + vX_[1522] * vX_[1188] + vX_[1942] * vX_[1492] + vX_[1874] * vX_[1498] +
+ vX_[1744] * vX_[1802] + vX_[3301] * vX_[1808];
+ vX_[60] = vX_[2110] * 53.433 + (0 - vX_[2123]) * -0.0053433 + vX_[2128] * 2.0678571;
+ jac[847] = vX_[60] * x_in[19] + vX_[3498] * x_in[18] + vX_[8981] * vX_[126] + vX_[749] * vX_[729] +
+ vX_[9037] * vX_[235] + vX_[9246] * vX_[1050] + vX_[1423] * vX_[354] + vX_[402] * vX_[1359] +
+ vX_[3679] * vX_[473] + vX_[9066] * vX_[1671] + vX_[2190] + vX_[2263] + vX_[2336] + vX_[2409];
+ vX_[3498] = 0 - vX_[1887];
+ vX_[2128] = vX_[2116] * -0.0053433 + vX_[2114] * 2.0678571 + (0 - vX_[2123]) * 0.190812 + vX_[2128] * -0.00571 +
+ vX_[2134] * 0.473273;
+ vX_[2110] = (0 - vX_[2110]) * -1.1915559;
+ vX_[2134] = (0 - vX_[2134]) * 0.012668;
+ vX_[8946] = vX_[8980] + vX_[2110] + vX_[8946] - vX_[2134];
+ jac[703] = vX_[60] * x_in[23] + vX_[3498] * x_in[21] + vX_[2128] * x_in[20] + vX_[1551] * x_in[18] +
+ vX_[8946] * x_in[19] + vX_[8946] * x_in[19] + vX_[8981] * vX_[138] + vX_[749] * vX_[727] +
+ vX_[1108] * vX_[1] + vX_[1115] * vX_[126] + vX_[9037] * vX_[248] + vX_[9246] * vX_[1053] +
+ vX_[1036] * vX_[249] + vX_[1664] * vX_[247] + vX_[1423] * vX_[366] + vX_[402] * vX_[1361] +
+ vX_[2078] * vX_[273] + vX_[396] * vX_[354] + vX_[3679] * vX_[486] + vX_[9066] * vX_[1674] +
+ vX_[8785] * vX_[487] + vX_[8777] * vX_[485] + vX_[8948] * vX_[865] + vX_[195] * vX_[871] +
+ vX_[9241] * vX_[1182] + vX_[8645] * vX_[1188] + vX_[9282] * vX_[1492] + vX_[8658] * vX_[1498] +
+ vX_[2392] * vX_[1802] + vX_[8774] * vX_[1808];
+ vX_[8946] = vX_[2521] * 53.433 + (0 - vX_[2523]) * -0.0053433 + vX_[2528] * 2.0678571;
+ jac[848] = vX_[8946] * x_in[19] + vX_[9050] * x_in[18] + vX_[1097] * vX_[126] + vX_[2150] * vX_[729] +
+ vX_[280] * vX_[235] + vX_[451] * vX_[1050] + vX_[2316] * vX_[354] + vX_[2451] * vX_[1359] +
+ vX_[1226] * vX_[473] + vX_[8153] * vX_[1671] + vX_[2590] + vX_[2663] + vX_[2736] + vX_[2809];
+ vX_[9050] = 0 - vX_[702];
+ vX_[2528] = vX_[2515] * -0.0053433 + vX_[2513] * 2.0678571 + (0 - vX_[2523]) * 0.190812 + vX_[2528] * -0.00571 +
+ vX_[2534] * 0.473273;
+ vX_[2521] = (0 - vX_[2521]) * -1.1915559;
+ vX_[2534] = (0 - vX_[2534]) * 0.012668;
+ vX_[1969] = vX_[219] + vX_[2521] + vX_[1969] - vX_[2534];
+ jac[704] = vX_[8946] * x_in[23] + vX_[9050] * x_in[21] + vX_[2528] * x_in[20] + vX_[8155] * x_in[18] +
+ vX_[1969] * x_in[19] + vX_[1969] * x_in[19] + vX_[1097] * vX_[138] + vX_[2150] * vX_[727] +
+ vX_[8558] * vX_[1] + vX_[3365] * vX_[126] + vX_[280] * vX_[248] + vX_[451] * vX_[1053] +
+ vX_[7741] * vX_[249] + vX_[8171] * vX_[247] + vX_[2316] * vX_[366] + vX_[2451] * vX_[1361] +
+ vX_[2830] * vX_[273] + vX_[1340] * vX_[354] + vX_[1226] * vX_[486] + vX_[8153] * vX_[1674] +
+ vX_[7776] * vX_[487] + vX_[7931] * vX_[485] + vX_[3247] * vX_[865] + vX_[8101] * vX_[871] +
+ vX_[8200] * vX_[1182] + vX_[7704] * vX_[1188] + vX_[9137] * vX_[1492] + vX_[8239] * vX_[1498] +
+ vX_[2792] * vX_[1802] + vX_[7919] * vX_[1808];
+ vX_[1969] = vX_[2948] * 53.433 + (0 - vX_[2950]) * -0.0053433 + vX_[2955] * 2.0678571;
+ jac[849] = vX_[1969] * x_in[19] + vX_[8137] * x_in[18] + vX_[2799] * vX_[126] + vX_[2550] * vX_[729] +
+ vX_[1957] * vX_[235] + vX_[1915] * vX_[1050] + vX_[2716] * vX_[354] + vX_[7851] * vX_[1359] +
+ vX_[8316] * vX_[473] + vX_[7106] * vX_[1671] + vX_[3017] + vX_[3090] + vX_[3163] + vX_[3236];
+ vX_[8137] = 0 - vX_[1570];
+ vX_[2955] = vX_[2941] * -0.0053433 + vX_[2943] * 2.0678571 + (0 - vX_[2950]) * 0.190812 + vX_[2955] * -0.00571 +
+ vX_[2961] * 0.473273;
+ vX_[2948] = (0 - vX_[2948]) * -1.1915559;
+ vX_[2961] = (0 - vX_[2961]) * 0.012668;
+ vX_[8100] = vX_[2800] + vX_[2948] + vX_[8100] - vX_[2961];
+ jac[705] = vX_[1969] * x_in[23] + vX_[8137] * x_in[21] + vX_[2955] * x_in[20] + vX_[8216] * x_in[18] +
+ vX_[8100] * x_in[19] + vX_[8100] * x_in[19] + vX_[2799] * vX_[138] + vX_[2550] * vX_[727] +
+ vX_[8105] * vX_[1] + vX_[8142] * vX_[126] + vX_[1957] * vX_[248] + vX_[1915] * vX_[1053] +
+ vX_[1691] * vX_[249] + vX_[1683] * vX_[247] + vX_[2716] * vX_[366] + vX_[7851] * vX_[1361] +
+ vX_[1984] * vX_[273] + vX_[1575] * vX_[354] + vX_[8316] * vX_[486] + vX_[7106] * vX_[1674] +
+ vX_[7048] * vX_[487] + vX_[7062] * vX_[485] + vX_[7543] * vX_[865] + vX_[7546] * vX_[871] +
+ vX_[7371] * vX_[1182] + vX_[7369] * vX_[1188] + vX_[7388] * vX_[1492] + vX_[5357] * vX_[1498] +
+ vX_[3219] * vX_[1802] + vX_[7060] * vX_[1808];
+ vX_[8100] = vX_[3354] * 53.433 + (0 - vX_[3356]) * -0.0053433 + vX_[3361] * 2.0678571;
+ jac[850] = vX_[8100] * x_in[19] + vX_[7217] * x_in[18] + vX_[7763] * vX_[126] + vX_[2977] * vX_[729] +
+ vX_[1869] * vX_[235] + vX_[2793] * vX_[1050] + vX_[3143] * vX_[354] + vX_[7415] * vX_[1359] +
+ vX_[7457] * vX_[473] + vX_[6147] * vX_[1671] + vX_[3423] + vX_[3496] + vX_[3569] + vX_[3642];
+ vX_[7217] = 0 - vX_[8354];
+ vX_[3361] = vX_[3347] * -0.0053433 + vX_[3349] * 2.0678571 + (0 - vX_[3356]) * 0.190812 + vX_[3361] * -0.00571 +
+ vX_[3367] * 0.473273;
+ vX_[3354] = (0 - vX_[3354]) * -1.1915559;
+ vX_[3367] = (0 - vX_[3367]) * 0.012668;
+ vX_[9148] = vX_[1841] + vX_[3354] + vX_[9148] - vX_[3367];
+ jac[706] = vX_[8100] * x_in[23] + vX_[7217] * x_in[21] + vX_[3361] * x_in[20] + vX_[7277] * x_in[18] +
+ vX_[9148] * x_in[19] + vX_[9148] * x_in[19] + vX_[7763] * vX_[138] + vX_[2977] * vX_[727] +
+ vX_[7583] * vX_[1] + vX_[8623] * vX_[126] + vX_[1869] * vX_[248] + vX_[2793] * vX_[1053] +
+ vX_[6041] * vX_[249] + vX_[6470] * vX_[247] + vX_[3143] * vX_[366] + vX_[7415] * vX_[1361] +
+ vX_[4963] * vX_[273] + vX_[4949] * vX_[354] + vX_[7457] * vX_[486] + vX_[6147] * vX_[1674] +
+ vX_[6196] * vX_[487] + vX_[6195] * vX_[485] + vX_[7544] * vX_[865] + vX_[1065] * vX_[871] +
+ vX_[6940] * vX_[1182] + vX_[4435] * vX_[1188] + vX_[6991] * vX_[1492] + vX_[7005] * vX_[1498] +
+ vX_[3625] * vX_[1802] + vX_[6187] * vX_[1808];
+ vX_[9148] = vX_[3750] * 53.433 + (0 - vX_[3752]) * -0.0053433 + vX_[3757] * 2.0678571;
+ jac[851] = vX_[9148] * x_in[19] + vX_[6245] * x_in[18] + vX_[8610] * vX_[126] + vX_[3383] * vX_[729] +
+ vX_[6884] * vX_[235] + vX_[4045] * vX_[1050] + vX_[3549] * vX_[354] + vX_[7921] * vX_[1359] +
+ vX_[6590] * vX_[473] + vX_[5386] * vX_[1671] + vX_[3819] + vX_[3892] + vX_[3965] + vX_[4038];
+ vX_[6245] = 0 - vX_[7488];
+ vX_[3757] = vX_[2917] * -0.0053433 + vX_[3745] * 2.0678571 + (0 - vX_[3752]) * 0.190812 + vX_[3757] * -0.00571 +
+ vX_[3763] * 0.473273;
+ vX_[3750] = (0 - vX_[3750]) * -1.1915559;
+ vX_[3763] = (0 - vX_[3763]) * 0.012668;
+ vX_[1944] = vX_[7697] + vX_[3750] + vX_[1944] - vX_[3763];
+ jac[707] = vX_[9148] * x_in[23] + vX_[6245] * x_in[21] + vX_[3757] * x_in[20] + vX_[6942] * x_in[18] +
+ vX_[1944] * x_in[19] + vX_[1944] * x_in[19] + vX_[8610] * vX_[138] + vX_[3383] * vX_[727] +
+ vX_[374] * vX_[1] + vX_[7264] * vX_[126] + vX_[6884] * vX_[248] + vX_[4045] * vX_[1053] +
+ vX_[6076] * vX_[249] + vX_[6071] * vX_[247] + vX_[3549] * vX_[366] + vX_[7921] * vX_[1361] +
+ vX_[8319] * vX_[273] + vX_[7660] * vX_[354] + vX_[6590] * vX_[486] + vX_[5386] * vX_[1674] +
+ vX_[5335] * vX_[487] + vX_[5080] * vX_[485] + vX_[7244] * vX_[865] + vX_[4482] * vX_[871] +
+ vX_[3652] * vX_[1182] + vX_[3610] * vX_[1188] + vX_[6567] * vX_[1492] + vX_[6550] * vX_[1498] +
+ vX_[4021] * vX_[1802] + vX_[5330] * vX_[1808];
+ vX_[1944] = vX_[4150] * 53.433 + (0 - vX_[4152]) * -0.0053433 + vX_[4147] * 2.0678571;
+ jac[852] = vX_[1944] * x_in[19] + vX_[5373] * x_in[18] + vX_[9376] * vX_[126] + vX_[3779] * vX_[729] +
+ vX_[3202] * vX_[235] + vX_[5167] * vX_[1050] + vX_[3945] * vX_[354] + vX_[6156] * vX_[1359] +
+ vX_[5599] * vX_[473] + vX_[4523] * vX_[1671] + vX_[4234] + vX_[4307] + vX_[4380] + vX_[4453];
+ vX_[5373] = 0 - vX_[6622];
+ vX_[4147] = vX_[4162] * -0.0053433 + vX_[4160] * 2.0678571 + (0 - vX_[4152]) * 0.190812 + vX_[4147] * -0.00571 +
+ vX_[4178] * 0.473273;
+ vX_[4150] = (0 - vX_[4150]) * -1.1915559;
+ vX_[4178] = (0 - vX_[4178]) * 0.012668;
+ vX_[4323] = vX_[7282] + vX_[4150] + vX_[4323] - vX_[4178];
+ jac[708] = vX_[1944] * x_in[23] + vX_[5373] * x_in[21] + vX_[4147] * x_in[20] + vX_[6263] * x_in[18] +
+ vX_[4323] * x_in[19] + vX_[4323] * x_in[19] + vX_[9376] * vX_[138] + vX_[3779] * vX_[727] +
+ vX_[7420] * vX_[1] + vX_[6837] * vX_[126] + vX_[3202] * vX_[248] + vX_[5167] * vX_[1053] +
+ vX_[5662] * vX_[249] + vX_[5634] * vX_[247] + vX_[3945] * vX_[366] + vX_[6156] * vX_[1361] +
+ vX_[8803] * vX_[273] + vX_[6241] * vX_[354] + vX_[5599] * vX_[486] + vX_[4523] * vX_[1674] +
+ vX_[4454] * vX_[487] + vX_[4473] * vX_[485] + vX_[6394] * vX_[865] + vX_[8676] * vX_[871] +
+ vX_[2867] * vX_[1182] + vX_[5626] * vX_[1188] + vX_[5686] * vX_[1492] + vX_[5741] * vX_[1498] +
+ vX_[4436] * vX_[1802] + vX_[4395] * vX_[1808];
+ vX_[4323] = vX_[4579] * 53.433 + (0 - vX_[4581]) * -0.0053433 + vX_[4576] * 2.0678571;
+ jac[853] = vX_[4323] * x_in[19] + vX_[4528] * x_in[18] + vX_[1148] * vX_[126] + vX_[4194] * vX_[729] +
+ vX_[5605] * vX_[235] + vX_[5204] * vX_[1050] + vX_[4360] * vX_[354] + vX_[5697] * vX_[1359] +
+ vX_[4737] * vX_[473] + vX_[2485] * vX_[1671] + vX_[4663] + vX_[4736] + vX_[4809] + vX_[4882];
+ vX_[4528] = 0 - vX_[5585];
+ vX_[4576] = vX_[4591] * -0.0053433 + vX_[4589] * 2.0678571 + (0 - vX_[4581]) * 0.190812 + vX_[4576] * -0.00571 +
+ vX_[4607] * 0.473273;
+ vX_[4579] = (0 - vX_[4579]) * -1.1915559;
+ vX_[4607] = (0 - vX_[4607]) * 0.012668;
+ vX_[459] = vX_[6855] + vX_[4579] + vX_[459] - vX_[4607];
+ jac[709] = vX_[4323] * x_in[23] + vX_[4528] * x_in[21] + vX_[4576] * x_in[20] + vX_[5642] * x_in[18] +
+ vX_[459] * x_in[19] + vX_[459] * x_in[19] + vX_[1148] * vX_[138] + vX_[4194] * vX_[727] +
+ vX_[6421] * vX_[1] + vX_[2713] * vX_[126] + vX_[5605] * vX_[248] + vX_[5204] * vX_[1053] +
+ vX_[6123] * vX_[249] + vX_[5003] * vX_[247] + vX_[4360] * vX_[366] + vX_[5697] * vX_[1361] +
+ vX_[4566] * vX_[273] + vX_[2666] * vX_[354] + vX_[4737] * vX_[486] + vX_[2485] * vX_[1674] +
+ vX_[2432] * vX_[487] + vX_[2442] * vX_[485] + vX_[3172] * vX_[865] + vX_[5588] * vX_[871] +
+ vX_[1656] * vX_[1182] + vX_[4799] * vX_[1188] + vX_[5309] * vX_[1492] + vX_[4889] * vX_[1498] +
+ vX_[4865] * vX_[1802] + vX_[2424] * vX_[1808];
+ vX_[459] = vX_[5008] * 53.433 + (0 - vX_[5010]) * -0.0053433 + vX_[5005] * 2.0678571;
+ jac[854] = vX_[459] * x_in[19] + vX_[2488] * x_in[18] + vX_[6419] * vX_[126] + vX_[4623] * vX_[729] +
+ vX_[5233] * vX_[235] + vX_[5701] * vX_[1050] + vX_[4789] * vX_[354] + vX_[4605] * vX_[1359] +
+ vX_[2738] * vX_[473] + vX_[21] * vX_[1671] + vX_[5092] + vX_[5165] + vX_[5238] + vX_[5311];
+ vX_[2488] = 0 - vX_[4164];
+ vX_[5005] = vX_[5020] * -0.0053433 + vX_[5018] * 2.0678571 + (0 - vX_[5010]) * 0.190812 + vX_[5005] * -0.00571 +
+ vX_[5036] * 0.473273;
+ vX_[5008] = (0 - vX_[5008]) * -1.1915559;
+ vX_[5036] = (0 - vX_[5036]) * 0.012668;
+ vX_[5564] = vX_[9087] + vX_[5008] + vX_[5564] - vX_[5036];
+ jac[710] = vX_[459] * x_in[23] + vX_[2488] * x_in[21] + vX_[5005] * x_in[20] + vX_[5207] * x_in[18] +
+ vX_[5564] * x_in[19] + vX_[5564] * x_in[19] + vX_[6419] * vX_[138] + vX_[4623] * vX_[727] +
+ vX_[9173] * vX_[1] + vX_[5987] * vX_[126] + vX_[5233] * vX_[248] + vX_[5701] * vX_[1053] +
+ vX_[6144] * vX_[249] + vX_[4385] * vX_[247] + vX_[4789] * vX_[366] + vX_[4605] * vX_[1361] +
+ vX_[2683] * vX_[273] + vX_[2456] * vX_[354] + vX_[2738] * vX_[486] + vX_[21] * vX_[1674] +
+ vX_[2059] * vX_[487] + vX_[11] * vX_[485] + vX_[3937] * vX_[865] + vX_[5575] * vX_[871] +
+ vX_[4356] * vX_[1182] + vX_[4342] * vX_[1188] + vX_[4859] * vX_[1492] + vX_[4839] * vX_[1498] +
+ vX_[5294] * vX_[1802] + vX_[4119] * vX_[1808];
+ vX_[5564] = vX_[5427] * 53.433 + (0 - vX_[5429]) * -0.0053433 + vX_[5424] * 2.0678571;
+ jac[855] = vX_[5564] * x_in[19] + vX_[23] * x_in[18] + vX_[5981] * vX_[126] + vX_[5052] * vX_[729] +
+ vX_[6806] * vX_[235] + vX_[3929] * vX_[1050] + vX_[5218] * vX_[354] + vX_[4448] * vX_[1359] +
+ vX_[1925] * vX_[473] + vX_[3673] * vX_[1671] + vX_[5511] + vX_[5584] + vX_[5657] + vX_[5730];
+ vX_[23] = 0 - vX_[4593];
+ vX_[5424] = vX_[5439] * -0.0053433 + vX_[5437] * 2.0678571 + (0 - vX_[5429]) * 0.190812 + vX_[5424] * -0.00571 +
+ vX_[5455] * 0.473273;
+ vX_[5427] = (0 - vX_[5427]) * -1.1915559;
+ vX_[5455] = (0 - vX_[5455]) * 0.012668;
+ vX_[5574] = vX_[5978] + vX_[5427] + vX_[5574] - vX_[5455];
+ jac[711] = vX_[5564] * x_in[23] + vX_[23] * x_in[21] + vX_[5424] * x_in[20] + vX_[4370] * x_in[18] +
+ vX_[5574] * x_in[19] + vX_[5574] * x_in[19] + vX_[5981] * vX_[138] + vX_[5052] * vX_[727] +
+ vX_[5548] * vX_[1] + vX_[5542] * vX_[126] + vX_[6806] * vX_[248] + vX_[3929] * vX_[1053] +
+ vX_[6557] * vX_[249] + vX_[7867] * vX_[247] + vX_[5218] * vX_[366] + vX_[4448] * vX_[1361] +
+ vX_[4235] * vX_[273] + vX_[4450] * vX_[354] + vX_[1925] * vX_[486] + vX_[3673] * vX_[1674] +
+ vX_[3326] * vX_[487] + vX_[3324] * vX_[485] + vX_[5148] * vX_[865] + vX_[3915] * vX_[871] +
+ vX_[7826] * vX_[1182] + vX_[6964] * vX_[1188] + vX_[4863] * vX_[1492] + vX_[5360] * vX_[1498] +
+ vX_[5713] * vX_[1802] + vX_[3307] * vX_[1808];
+ vX_[5574] = vX_[5856] * 53.433 + (0 - vX_[5858]) * -0.0053433 + vX_[5853] * 2.0678571;
+ jac[856] = vX_[5574] * x_in[19] + vX_[3667] * x_in[18] + vX_[3284] * vX_[126] + vX_[5471] * vX_[729] +
+ vX_[3963] * vX_[235] + vX_[7424] * vX_[1050] + vX_[5637] * vX_[354] + vX_[5347] * vX_[1359] +
+ vX_[3723] * vX_[473] + vX_[8755] * vX_[1671] + vX_[5940] + vX_[6013] + vX_[6086] + vX_[6159];
+ vX_[3667] = 0 - vX_[5022];
+ vX_[5853] = vX_[5868] * -0.0053433 + vX_[5866] * 2.0678571 + (0 - vX_[5858]) * 0.190812 + vX_[5853] * -0.00571 +
+ vX_[5884] * 0.473273;
+ vX_[5856] = (0 - vX_[5856]) * -1.1915559;
+ vX_[5884] = (0 - vX_[5884]) * 0.012668;
+ vX_[3916] = vX_[5134] + vX_[5856] + vX_[3916] - vX_[5884];
+ jac[712] = vX_[5574] * x_in[23] + vX_[3667] * x_in[21] + vX_[5853] * x_in[20] + vX_[3927] * x_in[18] +
+ vX_[3916] * x_in[19] + vX_[3916] * x_in[19] + vX_[3284] * vX_[138] + vX_[5471] * vX_[727] +
+ vX_[4687] * vX_[1] + vX_[4703] * vX_[126] + vX_[3963] * vX_[248] + vX_[7424] * vX_[1053] +
+ vX_[2696] * vX_[249] + vX_[7584] * vX_[247] + vX_[5637] * vX_[366] + vX_[5347] * vX_[1361] +
+ vX_[3996] * vX_[273] + vX_[4000] * vX_[354] + vX_[3723] * vX_[486] + vX_[8755] * vX_[1674] +
+ vX_[8361] * vX_[487] + vX_[8381] * vX_[485] + vX_[5724] * vX_[865] + vX_[4818] * vX_[871] +
+ vX_[4934] * vX_[1182] + vX_[3121] * vX_[1188] + vX_[5849] * vX_[1492] + vX_[6087] * vX_[1498] +
+ vX_[6142] * vX_[1802] + vX_[8370] * vX_[1808];
+ vX_[3916] = vX_[6285] * 53.433 + (0 - vX_[6287]) * -0.0053433 + vX_[6282] * 2.0678571;
+ jac[857] = vX_[3916] * x_in[19] + vX_[8759] * x_in[18] + vX_[4690] * vX_[126] + vX_[5900] * vX_[729] +
+ vX_[2684] * vX_[235] + vX_[2289] * vX_[1050] + vX_[6066] * vX_[354] + vX_[7466] * vX_[1359] +
+ vX_[8995] * vX_[473] + vX_[7490] * vX_[1671] + vX_[6369] + vX_[6442] + vX_[6515] + vX_[6588];
+ vX_[8759] = 0 - vX_[5441];
+ vX_[6282] = vX_[6297] * -0.0053433 + vX_[6295] * 2.0678571 + (0 - vX_[6287]) * 0.190812 + vX_[6282] * -0.00571 +
+ vX_[6313] * 0.473273;
+ vX_[6285] = (0 - vX_[6285]) * -1.1915559;
+ vX_[6313] = (0 - vX_[6313]) * 0.012668;
+ vX_[4744] = vX_[5237] + vX_[6285] + vX_[4744] - vX_[6313];
+ jac[713] = vX_[3916] * x_in[23] + vX_[8759] * x_in[21] + vX_[6282] * x_in[20] + vX_[7443] * x_in[18] +
+ vX_[4744] * x_in[19] + vX_[4744] * x_in[19] + vX_[4690] * vX_[138] + vX_[5900] * vX_[727] +
+ vX_[4264] * vX_[1] + vX_[4550] * vX_[126] + vX_[2684] * vX_[248] + vX_[2289] * vX_[1053] +
+ vX_[2320] * vX_[249] + vX_[482] * vX_[247] + vX_[6066] * vX_[366] + vX_[7466] * vX_[1361] +
+ vX_[8049] * vX_[273] + vX_[7887] * vX_[354] + vX_[8995] * vX_[486] + vX_[7490] * vX_[1674] +
+ vX_[7108] * vX_[487] + vX_[7233] * vX_[485] + vX_[5182] * vX_[865] + vX_[5618] * vX_[871] +
+ vX_[2286] * vX_[1182] + vX_[8255] * vX_[1188] + vX_[7364] * vX_[1492] + vX_[3194] * vX_[1498] +
+ vX_[6571] * vX_[1802] + vX_[7095] * vX_[1808];
+ vX_[4744] = vX_[6704] * 53.433 + (0 - vX_[6706]) * -0.0053433 + vX_[6701] * 2.0678571;
+ jac[858] = vX_[4744] * x_in[19] + vX_[7473] * x_in[18] + vX_[3852] * vX_[126] + vX_[6329] * vX_[729] +
+ vX_[2745] * vX_[235] + vX_[1792] * vX_[1050] + vX_[6495] * vX_[354] + vX_[7881] * vX_[1359] +
+ vX_[7802] * vX_[473] + vX_[6201] * vX_[1671] + vX_[6788] + vX_[6861] + vX_[6934] + vX_[7007];
+ vX_[7473] = 0 - vX_[5870];
+ vX_[6701] = vX_[6716] * -0.0053433 + vX_[6714] * 2.0678571 + (0 - vX_[6706]) * 0.190812 + vX_[6701] * -0.00571 +
+ vX_[6732] * 0.473273;
+ vX_[6704] = (0 - vX_[6704]) * -1.1915559;
+ vX_[6732] = (0 - vX_[6732]) * 0.012668;
+ vX_[4283] = vX_[5206] + vX_[6704] + vX_[4283] - vX_[6732];
+ jac[714] = vX_[4744] * x_in[23] + vX_[7473] * x_in[21] + vX_[6701] * x_in[20] + vX_[2694] * x_in[18] +
+ vX_[4283] * x_in[19] + vX_[4283] * x_in[19] + vX_[3852] * vX_[138] + vX_[6329] * vX_[727] +
+ vX_[6094] * vX_[1] + vX_[6487] * vX_[126] + vX_[2745] * vX_[248] + vX_[1792] * vX_[1053] +
+ vX_[1385] * vX_[249] + vX_[691] * vX_[247] + vX_[6495] * vX_[366] + vX_[7881] * vX_[1361] +
+ vX_[2891] * vX_[273] + vX_[2780] * vX_[354] + vX_[7802] * vX_[486] + vX_[6201] * vX_[1674] +
+ vX_[5958] * vX_[487] + vX_[5956] * vX_[485] + vX_[4078] * vX_[865] + vX_[3886] * vX_[871] +
+ vX_[6810] * vX_[1182] + vX_[1381] * vX_[1188] + vX_[8985] * vX_[1492] + vX_[3735] * vX_[1498] +
+ vX_[6990] * vX_[1802] + vX_[5828] * vX_[1808];
+ vX_[4283] = vX_[7131] * 53.433 + (0 - vX_[7133]) * -0.0053433 + vX_[7128] * 2.0678571;
+ jac[859] = vX_[4283] * x_in[19] + vX_[6218] * x_in[18] + vX_[3507] * vX_[126] + vX_[6748] * vX_[729] +
+ vX_[1349] * vX_[235] + vX_[1582] * vX_[1050] + vX_[6914] * vX_[354] + vX_[2367] * vX_[1359] +
+ vX_[6527] * vX_[473] + vX_[4951] * vX_[1671] + vX_[7215] + vX_[7288] + vX_[7361] + vX_[7434];
+ vX_[6218] = 0 - vX_[6299];
+ vX_[7128] = vX_[7143] * -0.0053433 + vX_[7141] * 2.0678571 + (0 - vX_[7133]) * 0.190812 + vX_[7128] * -0.00571 +
+ vX_[7159] * 0.473273;
+ vX_[7131] = (0 - vX_[7131]) * -1.1915559;
+ vX_[7159] = (0 - vX_[7159]) * 0.012668;
+ vX_[6476] = vX_[3840] + vX_[7131] + vX_[6476] - vX_[7159];
+ jac[715] = vX_[4283] * x_in[23] + vX_[6218] * x_in[21] + vX_[7128] * x_in[20] + vX_[1736] * x_in[18] +
+ vX_[6476] * x_in[19] + vX_[6476] * x_in[19] + vX_[3507] * vX_[138] + vX_[6748] * vX_[727] +
+ vX_[3445] * vX_[1] + vX_[3094] * vX_[126] + vX_[1349] * vX_[248] + vX_[1582] * vX_[1053] +
+ vX_[1410] * vX_[249] + vX_[1416] * vX_[247] + vX_[6914] * vX_[366] + vX_[2367] * vX_[1361] +
+ vX_[624] * vX_[273] + vX_[2373] * vX_[354] + vX_[6527] * vX_[486] + vX_[4951] * vX_[1674] +
+ vX_[4679] * vX_[487] + vX_[4754] * vX_[485] + vX_[3495] * vX_[865] + vX_[6901] * vX_[871] +
+ vX_[7237] * vX_[1182] + vX_[592] * vX_[1188] + vX_[3005] * vX_[1492] + vX_[1715] * vX_[1498] +
+ vX_[7417] * vX_[1802] + vX_[4537] * vX_[1808];
+ vX_[6476] = vX_[7558] * 53.433 + (0 - vX_[7560]) * -0.0053433 + vX_[7555] * 2.0678571;
+ jac[860] = vX_[6476] * x_in[19] + vX_[4955] * x_in[18] + vX_[3481] * vX_[126] + vX_[7175] * vX_[729] +
+ vX_[1309] * vX_[235] + vX_[1657] * vX_[1050] + vX_[7341] * vX_[354] + vX_[1812] * vX_[1359] +
+ vX_[5325] * vX_[473] + vX_[2476] * vX_[1671] + vX_[7642] + vX_[7715] + vX_[7788] + vX_[7861];
+ vX_[4955] = 0 - vX_[6718];
+ vX_[7555] = vX_[7570] * -0.0053433 + vX_[7568] * 2.0678571 + (0 - vX_[7560]) * 0.190812 + vX_[7555] * -0.00571 +
+ vX_[7586] * 0.473273;
+ vX_[7558] = (0 - vX_[7558]) * -1.1915559;
+ vX_[7586] = (0 - vX_[7586]) * 0.012668;
+ vX_[3470] = vX_[8063] + vX_[7558] + vX_[3470] - vX_[7586];
+ jac[716] = vX_[6476] * x_in[23] + vX_[4955] * x_in[21] + vX_[7555] * x_in[20] + vX_[1630] * x_in[18] +
+ vX_[3470] * x_in[19] + vX_[3470] * x_in[19] + vX_[3481] * vX_[138] + vX_[7175] * vX_[727] +
+ vX_[6275] * vX_[1] + vX_[3081] * vX_[126] + vX_[1309] * vX_[248] + vX_[1657] * vX_[1053] +
+ vX_[9355] * vX_[249] + vX_[9354] * vX_[247] + vX_[7341] * vX_[366] + vX_[1812] * vX_[1361] +
+ vX_[1708] * vX_[273] + vX_[1821] * vX_[354] + vX_[5325] * vX_[486] + vX_[2476] * vX_[1674] +
+ vX_[2281] * vX_[487] + vX_[2279] * vX_[485] + vX_[3083] * vX_[865] + vX_[3055] * vX_[871] +
+ vX_[7667] * vX_[1182] + vX_[1231] * vX_[1188] + vX_[1952] * vX_[1492] + vX_[1877] * vX_[1498] +
+ vX_[7844] * vX_[1802] + vX_[2204] * vX_[1808];
+ vX_[3470] = vX_[7977] * 53.433 + (0 - vX_[7979]) * -0.0053433 + vX_[7974] * 2.0678571;
+ jac[861] = vX_[3470] * x_in[19] + vX_[2480] * x_in[18] + vX_[7318] * vX_[126] + vX_[7602] * vX_[729] +
+ vX_[9169] * vX_[235] + vX_[1732] * vX_[1050] + vX_[7768] * vX_[354] + vX_[442] * vX_[1359] +
+ vX_[2821] * vX_[473] + vX_[1813] * vX_[1671] + vX_[8061] + vX_[8134] + vX_[8207] + vX_[8280];
+ vX_[2480] = 0 - vX_[7145];
+ vX_[7974] = vX_[7989] * -0.0053433 + vX_[7987] * 2.0678571 + (0 - vX_[7979]) * 0.190812 + vX_[7974] * -0.00571 +
+ vX_[8005] * 0.473273;
+ vX_[7977] = (0 - vX_[7977]) * -1.1915559;
+ vX_[8005] = (0 - vX_[8005]) * 0.012668;
+ vX_[3048] = vX_[3085] + vX_[7977] + vX_[3048] - vX_[8005];
+ jac[717] = vX_[3470] * x_in[23] + vX_[2480] * x_in[21] + vX_[7974] * x_in[20] + vX_[7847] * x_in[18] +
+ vX_[3048] * x_in[19] + vX_[3048] * x_in[19] + vX_[7318] * vX_[138] + vX_[7602] * vX_[727] +
+ vX_[2661] * vX_[1] + vX_[1826] * vX_[126] + vX_[9169] * vX_[248] + vX_[1732] * vX_[1053] +
+ vX_[7925] * vX_[249] + vX_[1834] * vX_[247] + vX_[7768] * vX_[366] + vX_[442] * vX_[1361] +
+ vX_[431] * vX_[273] + vX_[436] * vX_[354] + vX_[2821] * vX_[486] + vX_[1813] * vX_[1674] +
+ vX_[843] * vX_[487] + vX_[1151] * vX_[485] + vX_[7571] * vX_[865] + vX_[2232] * vX_[871] +
+ vX_[1720] * vX_[1182] + vX_[9369] * vX_[1188] + vX_[9220] * vX_[1492] + vX_[9307] * vX_[1498] +
+ vX_[8263] * vX_[1802] + vX_[873] * vX_[1808];
+ vX_[3048] = vX_[8406] * 53.433 + (0 - vX_[8408]) * -0.0053433 + vX_[8403] * 2.0678571;
+ jac[862] = vX_[3048] * x_in[19] + vX_[9131] * x_in[18] + vX_[2672] * vX_[126] + vX_[8021] * vX_[729] +
+ vX_[8695] * vX_[235] + vX_[7317] * vX_[1050] + vX_[8187] * vX_[354] + vX_[7438] * vX_[1359] +
+ vX_[1300] * vX_[473] + vX_[9238] * vX_[1671] + vX_[8490] + vX_[8563] + vX_[8636] + vX_[8709];
+ vX_[9131] = 0 - vX_[7572];
+ vX_[8403] = vX_[8418] * -0.0053433 + vX_[8416] * 2.0678571 + (0 - vX_[8408]) * 0.190812 + vX_[8403] * -0.00571 +
+ vX_[8434] * 0.473273;
+ vX_[8406] = (0 - vX_[8406]) * -1.1915559;
+ vX_[8434] = (0 - vX_[8434]) * 0.012668;
+ vX_[2230] = vX_[2634] + vX_[8406] + vX_[2230] - vX_[8434];
+ jac[718] = vX_[3048] * x_in[23] + vX_[9131] * x_in[21] + vX_[8403] * x_in[20] + vX_[4100] * x_in[18] +
+ vX_[2230] * x_in[19] + vX_[2230] * x_in[19] + vX_[2672] * vX_[138] + vX_[8021] * vX_[727] +
+ vX_[2260] * vX_[1] + vX_[8615] * vX_[126] + vX_[8695] * vX_[248] + vX_[7317] * vX_[1053] +
+ vX_[2404] * vX_[249] + vX_[6920] * vX_[247] + vX_[8187] * vX_[366] + vX_[7438] * vX_[1361] +
+ vX_[999] * vX_[273] + vX_[7579] * vX_[354] + vX_[1300] * vX_[486] + vX_[9238] * vX_[1674] +
+ vX_[9267] * vX_[487] + vX_[9265] * vX_[485] + vX_[7990] * vX_[865] + vX_[1058] * vX_[871] +
+ vX_[2932] * vX_[1182] + vX_[8566] * vX_[1188] + vX_[2465] * vX_[1492] + vX_[8254] * vX_[1498] +
+ vX_[8692] * vX_[1802] + vX_[9272] * vX_[1808];
+ vX_[2230] = vX_[8835] * 53.433 + (0 - vX_[8837]) * -0.0053433 + vX_[8832] * 2.0678571;
+ jac[863] = vX_[2230] * x_in[19] + vX_[9237] * x_in[18] + vX_[2234] * vX_[126] + vX_[756] * vX_[729] +
+ vX_[1689] * vX_[235] + vX_[6485] * vX_[1050] + vX_[8616] * vX_[354] + vX_[1380] * vX_[1359] +
+ vX_[9210] * vX_[473] + vX_[9339] * vX_[1671] + vX_[8919] + vX_[8983] + vX_[9047] + vX_[9111];
+ vX_[9237] = 0 - vX_[7991];
+ vX_[8832] = vX_[8847] * -0.0053433 + vX_[8845] * 2.0678571 + (0 - vX_[8837]) * 0.190812 + vX_[8832] * -0.00571 +
+ vX_[8863] * 0.473273;
+ vX_[8835] = (0 - vX_[8835]) * -1.1915559;
+ vX_[8863] = (0 - vX_[8863]) * 0.012668;
+ vX_[2048] = vX_[995] + vX_[8835] + vX_[2048] - vX_[8863];
+ jac[719] = vX_[2230] * x_in[23] + vX_[9237] * x_in[21] + vX_[8832] * x_in[20] + vX_[3245] * x_in[18] +
+ vX_[2048] * x_in[19] + vX_[2048] * x_in[19] + vX_[2234] * vX_[138] + vX_[756] * vX_[727] +
+ vX_[1479] * vX_[1] + vX_[8396] * vX_[126] + vX_[1689] * vX_[248] + vX_[6485] * vX_[1053] +
+ vX_[7376] * vX_[249] + vX_[5806] * vX_[247] + vX_[8616] * vX_[366] + vX_[1380] * vX_[1361] +
+ vX_[7831] * vX_[273] + vX_[2106] * vX_[354] + vX_[9210] * vX_[486] + vX_[9339] * vX_[1674] +
+ vX_[9361] * vX_[487] + vX_[9359] * vX_[485] + vX_[8904] * vX_[865] + vX_[985] * vX_[871] +
+ vX_[8968] * vX_[1182] + vX_[1294] * vX_[1188] + vX_[9032] * vX_[1492] + vX_[1606] * vX_[1498] +
+ vX_[2082] * vX_[1802] + vX_[1920] * vX_[1808];
+ vX_[9333] = 0 - vX_[9333];
+ jac[810] = vX_[9333] * x_in[20] + vX_[70] * x_in[18] + vX_[534] * vX_[1] + vX_[8974] * vX_[126] +
+ vX_[1032] * vX_[1030] + vX_[4491] * vX_[1051] + vX_[1343] * vX_[273] + vX_[9244] * vX_[354] +
+ vX_[4113] * vX_[1651] + vX_[3443] * vX_[1672] + vX_[775] + vX_[1527] + vX_[1880] + vX_[3311];
+ vX_[7997] = 0 - vX_[815] + vX_[4518] - vX_[7997];
+ vX_[162] = vX_[72] + vX_[632] + vX_[8815] + vX_[162];
+ vX_[8306] = vX_[1772] * vX_[750] + vX_[202] * vX_[754] + vX_[1935] * vX_[4104] + vX_[8306] * vX_[4092];
+ vX_[9040] = vX_[9028] * vX_[186] + vX_[9041] * vX_[166] + vX_[8591] * vX_[824] + vX_[9040] * vX_[3807];
+ vX_[9069] = vX_[1761] * vX_[1374] + vX_[471] * vX_[1378] + vX_[1695] * vX_[1274] + vX_[9069] * vX_[1130];
+ vX_[3497] = vX_[3572] * vX_[421] + vX_[3571] * vX_[394] + vX_[2084] * vX_[1882] + vX_[3497] * vX_[2916];
+ jac[738] = vX_[9333] * x_in[22] + vX_[7997] * x_in[21] + vX_[673] * x_in[19] + vX_[1926] * x_in[18] +
+ vX_[162] * x_in[20] + vX_[162] * x_in[20] + vX_[8306] * 0.207 + vX_[534] * vX_[140] +
+ vX_[8974] * vX_[728] + vX_[3201] * vX_[126] + vX_[6650] * vX_[139] + vX_[9040] * 0.207 +
+ vX_[1032] * vX_[250] + vX_[4491] * vX_[1052] + vX_[1534] * vX_[235] + vX_[1565] * vX_[249] +
+ vX_[9069] * 0.207 + vX_[1343] * vX_[368] + vX_[9244] * vX_[1360] + vX_[9119] * vX_[354] +
+ vX_[9120] * vX_[367] + vX_[3497] * 0.207 + vX_[4113] * vX_[488] + vX_[3443] * vX_[1673] +
+ vX_[3312] * vX_[473] + vX_[3304] * vX_[487] + vX_[775] * vX_[865] + vX_[1215] * vX_[890] +
+ vX_[1527] * vX_[1182] + vX_[1398] * vX_[1206] + vX_[1880] * vX_[1492] + vX_[1784] * vX_[1517] +
+ vX_[3311] * vX_[1802] + vX_[3251] * vX_[1827];
+ jac[774] = vX_[7997] * x_in[20] + vX_[83] * x_in[19] + vX_[8306] + vX_[9040] * -1 + vX_[9069] + vX_[3497] * -1 +
+ vX_[8951] + vX_[1522] + vX_[1874] + vX_[3301];
+ vX_[60] = 0 - vX_[60];
+ jac[811] = vX_[60] * x_in[20] + vX_[1887] * x_in[18] + vX_[8981] * vX_[1] + vX_[749] * vX_[126] +
+ vX_[9037] * vX_[1030] + vX_[9246] * vX_[1051] + vX_[1423] * vX_[273] + vX_[402] * vX_[354] +
+ vX_[3679] * vX_[1651] + vX_[9066] * vX_[1672] + vX_[5852] + vX_[8634] + vX_[9249] + vX_[8784];
+ vX_[3308] = 0 - vX_[3516] + vX_[3323] - vX_[3308];
+ vX_[2134] = vX_[8604] + vX_[2110] + vX_[1524] + vX_[2134];
+ vX_[225] = vX_[724] * vX_[750] + vX_[1586] * vX_[754] + vX_[8959] * vX_[4104] + vX_[225] * vX_[4092];
+ vX_[8552] = vX_[8589] * vX_[186] + vX_[8162] * vX_[166] + vX_[426] * vX_[824] + vX_[8552] * vX_[3807];
+ vX_[8661] = vX_[414] * vX_[1374] + vX_[424] * vX_[1378] + vX_[9183] * vX_[1274] + vX_[8661] * vX_[1130];
+ vX_[1623] = vX_[9126] * vX_[421] + vX_[9114] * vX_[394] + vX_[3729] * vX_[1882] + vX_[1623] * vX_[2916];
+ jac[739] = vX_[60] * x_in[22] + vX_[3308] * x_in[21] + vX_[2128] * x_in[19] + vX_[8716] * x_in[18] +
+ vX_[2134] * x_in[20] + vX_[2134] * x_in[20] + vX_[225] * 0.207 + vX_[8981] * vX_[140] +
+ vX_[749] * vX_[728] + vX_[1108] * vX_[126] + vX_[1115] * vX_[139] + vX_[8552] * 0.207 +
+ vX_[9037] * vX_[250] + vX_[9246] * vX_[1052] + vX_[1036] * vX_[235] + vX_[1664] * vX_[249] +
+ vX_[8661] * 0.207 + vX_[1423] * vX_[368] + vX_[402] * vX_[1360] + vX_[2078] * vX_[354] +
+ vX_[396] * vX_[367] + vX_[1623] * 0.207 + vX_[3679] * vX_[488] + vX_[9066] * vX_[1673] +
+ vX_[8785] * vX_[473] + vX_[8777] * vX_[487] + vX_[5852] * vX_[865] + vX_[1943] * vX_[890] +
+ vX_[8634] * vX_[1182] + vX_[1554] * vX_[1206] + vX_[9249] * vX_[1492] + vX_[9279] * vX_[1517] +
+ vX_[8784] * vX_[1802] + vX_[8729] * vX_[1827];
+ jac[775] = vX_[3308] * x_in[20] + vX_[3498] * x_in[19] + vX_[225] + vX_[8552] * -1 + vX_[8661] + vX_[1623] * -1 +
+ vX_[195] + vX_[8645] + vX_[8658] + vX_[8774];
+ vX_[8946] = 0 - vX_[8946];
+ jac[812] = vX_[8946] * x_in[20] + vX_[702] * x_in[18] + vX_[1097] * vX_[1] + vX_[2150] * vX_[126] +
+ vX_[280] * vX_[1030] + vX_[451] * vX_[1051] + vX_[2316] * vX_[273] + vX_[2451] * vX_[354] +
+ vX_[1226] * vX_[1651] + vX_[8153] * vX_[1672] + vX_[7301] + vX_[7309] + vX_[1518] + vX_[7918];
+ vX_[8781] = 0 - vX_[9130] + vX_[8796] - vX_[8781];
+ vX_[2534] = vX_[1878] + vX_[2521] + vX_[2677] + vX_[2534];
+ vX_[8531] = vX_[1886] * vX_[750] + vX_[1733] * vX_[754] + vX_[178] * vX_[4104] + vX_[8531] * vX_[4092];
+ vX_[8215] = vX_[9280] * vX_[186] + vX_[9281] * vX_[166] + vX_[321] * vX_[824] + vX_[8215] * vX_[3807];
+ vX_[9152] = vX_[8672] * vX_[1374] + vX_[9343] * vX_[1378] + vX_[1903] * vX_[1274] + vX_[9152] * vX_[1130];
+ vX_[8154] = vX_[8222] * vX_[421] + vX_[8210] * vX_[394] + vX_[1781] * vX_[1882] + vX_[8154] * vX_[2916];
+ jac[740] = vX_[8946] * x_in[22] + vX_[8781] * x_in[21] + vX_[2528] * x_in[19] + vX_[1899] * x_in[18] +
+ vX_[2534] * x_in[20] + vX_[2534] * x_in[20] + vX_[8531] * 0.207 + vX_[1097] * vX_[140] +
+ vX_[2150] * vX_[728] + vX_[8558] * vX_[126] + vX_[3365] * vX_[139] + vX_[8215] * 0.207 +
+ vX_[280] * vX_[250] + vX_[451] * vX_[1052] + vX_[7741] * vX_[235] + vX_[8171] * vX_[249] +
+ vX_[9152] * 0.207 + vX_[2316] * vX_[368] + vX_[2451] * vX_[1360] + vX_[2830] * vX_[354] +
+ vX_[1340] * vX_[367] + vX_[8154] * 0.207 + vX_[1226] * vX_[488] + vX_[8153] * vX_[1673] +
+ vX_[7776] * vX_[473] + vX_[7931] * vX_[487] + vX_[7301] * vX_[865] + vX_[7719] * vX_[890] +
+ vX_[7309] * vX_[1182] + vX_[9201] * vX_[1206] + vX_[1518] * vX_[1492] + vX_[7815] * vX_[1517] +
+ vX_[7918] * vX_[1802] + vX_[7808] * vX_[1827];
+ jac[776] = vX_[8781] * x_in[20] + vX_[9050] * x_in[19] + vX_[8531] + vX_[8215] * -1 + vX_[9152] + vX_[8154] * -1 +
+ vX_[8101] + vX_[7704] + vX_[8239] + vX_[7919];
+ vX_[1969] = 0 - vX_[1969];
+ jac[813] = vX_[1969] * x_in[20] + vX_[1570] * x_in[18] + vX_[2799] * vX_[1] + vX_[2550] * vX_[126] +
+ vX_[1957] * vX_[1030] + vX_[1915] * vX_[1051] + vX_[2716] * vX_[273] + vX_[7851] * vX_[354] +
+ vX_[8316] * vX_[1651] + vX_[7106] * vX_[1672] + vX_[7669] + vX_[7370] + vX_[6651] + vX_[7051];
+ vX_[7935] = 0 - vX_[8226] + vX_[7923] - vX_[7935];
+ vX_[2961] = vX_[8657] + vX_[2948] + vX_[8860] + vX_[2961];
+ vX_[7536] = vX_[8366] * vX_[750] + vX_[8491] * vX_[754] + vX_[8582] * vX_[4104] + vX_[7536] * vX_[4092];
+ vX_[6902] = vX_[6889] * vX_[186] + vX_[8283] * vX_[166] + vX_[9344] * vX_[824] + vX_[6902] * vX_[3807];
+ vX_[7819] = vX_[5108] * vX_[1374] + vX_[458] * vX_[1378] + vX_[1029] * vX_[1274] + vX_[7819] * vX_[1130];
+ vX_[7216] = vX_[7291] * vX_[421] + vX_[7290] * vX_[394] + vX_[8268] * vX_[1882] + vX_[7216] * vX_[2916];
+ jac[741] = vX_[1969] * x_in[22] + vX_[7935] * x_in[21] + vX_[2955] * x_in[19] + vX_[8236] * x_in[18] +
+ vX_[2961] * x_in[20] + vX_[2961] * x_in[20] + vX_[7536] * 0.207 + vX_[2799] * vX_[140] +
+ vX_[2550] * vX_[728] + vX_[8105] * vX_[126] + vX_[8142] * vX_[139] + vX_[6902] * 0.207 +
+ vX_[1957] * vX_[250] + vX_[1915] * vX_[1052] + vX_[1691] * vX_[235] + vX_[1683] * vX_[249] +
+ vX_[7819] * 0.207 + vX_[2716] * vX_[368] + vX_[7851] * vX_[1360] + vX_[1984] * vX_[354] +
+ vX_[1575] * vX_[367] + vX_[7216] * 0.207 + vX_[8316] * vX_[488] + vX_[7106] * vX_[1673] +
+ vX_[7048] * vX_[473] + vX_[7062] * vX_[487] + vX_[7669] * vX_[865] + vX_[7700] * vX_[890] +
+ vX_[7370] * vX_[1182] + vX_[6894] * vX_[1206] + vX_[6651] * vX_[1492] + vX_[7418] * vX_[1517] +
+ vX_[7051] * vX_[1802] + vX_[6862] * vX_[1827];
+ jac[777] = vX_[7935] * x_in[20] + vX_[8137] * x_in[19] + vX_[7536] + vX_[6902] * -1 + vX_[7819] + vX_[7216] * -1 +
+ vX_[7546] + vX_[7369] + vX_[5357] + vX_[7060];
+ vX_[8100] = 0 - vX_[8100];
+ jac[814] = vX_[8100] * x_in[20] + vX_[8354] * x_in[18] + vX_[7763] * vX_[1] + vX_[2977] * vX_[126] +
+ vX_[1869] * vX_[1030] + vX_[2793] * vX_[1051] + vX_[3143] * vX_[273] + vX_[7415] * vX_[354] +
+ vX_[7457] * vX_[1651] + vX_[6147] * vX_[1672] + vX_[7118] + vX_[3653] + vX_[5759] + vX_[6176];
+ vX_[7061] = 0 - vX_[7235] + vX_[7054] - vX_[7061];
+ vX_[3367] = vX_[8262] + vX_[3354] + vX_[7358] + vX_[3367];
+ vX_[7115] = vX_[7506] * vX_[750] + vX_[7527] * vX_[754] + vX_[8113] * vX_[4104] + vX_[7115] * vX_[4092];
+ vX_[6905] = vX_[8724] * vX_[186] + vX_[6931] * vX_[166] + vX_[8135] * vX_[824] + vX_[6905] * vX_[3807];
+ vX_[6194] = vX_[7410] * vX_[1374] + vX_[435] * vX_[1378] + vX_[8256] * vX_[1274] + vX_[6194] * vX_[1130];
+ vX_[6242] = vX_[6258] * vX_[421] + vX_[6259] * vX_[394] + vX_[7496] * vX_[1882] + vX_[6242] * vX_[2916];
+ jac[742] = vX_[8100] * x_in[22] + vX_[7061] * x_in[21] + vX_[3361] * x_in[19] + vX_[7870] * x_in[18] +
+ vX_[3367] * x_in[20] + vX_[3367] * x_in[20] + vX_[7115] * 0.207 + vX_[7763] * vX_[140] +
+ vX_[2977] * vX_[728] + vX_[7583] * vX_[126] + vX_[8623] * vX_[139] + vX_[6905] * 0.207 +
+ vX_[1869] * vX_[250] + vX_[2793] * vX_[1052] + vX_[6041] * vX_[235] + vX_[6470] * vX_[249] +
+ vX_[6194] * 0.207 + vX_[3143] * vX_[368] + vX_[7415] * vX_[1360] + vX_[4963] * vX_[354] +
+ vX_[4949] * vX_[367] + vX_[6242] * 0.207 + vX_[7457] * vX_[488] + vX_[6147] * vX_[1673] +
+ vX_[6196] * vX_[473] + vX_[6195] * vX_[487] + vX_[7118] * vX_[865] + vX_[7279] * vX_[890] +
+ vX_[3653] * vX_[1182] + vX_[6279] * vX_[1206] + vX_[5759] * vX_[1492] + vX_[6986] * vX_[1517] +
+ vX_[6176] * vX_[1802] + vX_[5942] * vX_[1827];
+ jac[778] = vX_[7061] * x_in[20] + vX_[7217] * x_in[19] + vX_[7115] + vX_[6905] * -1 + vX_[6194] + vX_[6242] * -1 +
+ vX_[1065] + vX_[4435] + vX_[7005] + vX_[6187];
+ vX_[9148] = 0 - vX_[9148];
+ jac[815] = vX_[9148] * x_in[20] + vX_[7488] * x_in[18] + vX_[8610] * vX_[1] + vX_[3383] * vX_[126] +
+ vX_[6884] * vX_[1030] + vX_[4045] * vX_[1051] + vX_[3549] * vX_[273] + vX_[7921] * vX_[354] +
+ vX_[6590] * vX_[1651] + vX_[5386] * vX_[1672] + vX_[6693] + vX_[3608] + vX_[6551] + vX_[5312];
+ vX_[6193] = 0 - vX_[6256] + vX_[6212] - vX_[6193];
+ vX_[3763] = vX_[5179] + vX_[3750] + vX_[6284] + vX_[3763];
+ vX_[7130] = vX_[6635] * vX_[750] + vX_[6656] * vX_[754] + vX_[7720] * vX_[4104] + vX_[7130] * vX_[4092];
+ vX_[6457] = vX_[6478] * vX_[186] + vX_[6262] * vX_[166] + vX_[3246] * vX_[824] + vX_[6457] * vX_[3807];
+ vX_[6587] = vX_[6309] * vX_[1374] + vX_[991] * vX_[1378] + vX_[7155] * vX_[1274] + vX_[6587] * vX_[1130];
+ vX_[5390] = vX_[5299] * vX_[421] + vX_[5398] * vX_[394] + vX_[6646] * vX_[1882] + vX_[5390] * vX_[2916];
+ jac[743] = vX_[9148] * x_in[22] + vX_[6193] * x_in[21] + vX_[3757] * x_in[19] + vX_[7391] * x_in[18] +
+ vX_[3763] * x_in[20] + vX_[3763] * x_in[20] + vX_[7130] * 0.207 + vX_[8610] * vX_[140] +
+ vX_[3383] * vX_[728] + vX_[374] * vX_[126] + vX_[7264] * vX_[139] + vX_[6457] * 0.207 +
+ vX_[6884] * vX_[250] + vX_[4045] * vX_[1052] + vX_[6076] * vX_[235] + vX_[6071] * vX_[249] +
+ vX_[6587] * 0.207 + vX_[3549] * vX_[368] + vX_[7921] * vX_[1360] + vX_[8319] * vX_[354] +
+ vX_[7660] * vX_[367] + vX_[5390] * 0.207 + vX_[6590] * vX_[488] + vX_[5386] * vX_[1673] +
+ vX_[5335] * vX_[473] + vX_[5080] * vX_[487] + vX_[6693] * vX_[865] + vX_[6852] * vX_[890] +
+ vX_[3608] * vX_[1182] + vX_[6080] * vX_[1206] + vX_[6551] * vX_[1492] + vX_[6115] * vX_[1517] +
+ vX_[5312] * vX_[1802] + vX_[4968] * vX_[1827];
+ jac[779] = vX_[6193] * x_in[20] + vX_[6245] * x_in[19] + vX_[7130] + vX_[6457] * -1 + vX_[6587] + vX_[5390] * -1 +
+ vX_[4482] + vX_[3610] + vX_[6550] + vX_[5330];
+ vX_[1944] = 0 - vX_[1944];
+ jac[816] = vX_[1944] * x_in[20] + vX_[6622] * x_in[18] + vX_[9376] * vX_[1] + vX_[3779] * vX_[126] +
+ vX_[3202] * vX_[1030] + vX_[5167] * vX_[1051] + vX_[3945] * vX_[273] + vX_[6156] * vX_[354] +
+ vX_[5599] * vX_[1651] + vX_[4523] * vX_[1672] + vX_[2712] + vX_[1611] + vX_[5259] + vX_[4455];
+ vX_[5331] = 0 - vX_[5389] + vX_[5339] - vX_[5331];
+ vX_[4178] = vX_[7002] + vX_[4150] + vX_[3600] + vX_[4178];
+ vX_[6396] = vX_[5783] * vX_[750] + vX_[5804] * vX_[754] + vX_[1644] * vX_[4104] + vX_[6396] * vX_[4092];
+ vX_[5647] = vX_[4446] * vX_[186] + vX_[5771] * vX_[166] + vX_[6496] * vX_[824] + vX_[5647] * vX_[3807];
+ vX_[5000] = vX_[7962] * vX_[1374] + vX_[7856] * vX_[1378] + vX_[5527] * vX_[1274] + vX_[5000] * vX_[1130];
+ vX_[4529] = vX_[4548] * vX_[421] + vX_[4531] * vX_[394] + vX_[5805] * vX_[1882] + vX_[4529] * vX_[2916];
+ jac[744] = vX_[1944] * x_in[22] + vX_[5331] * x_in[21] + vX_[4147] * x_in[19] + vX_[7465] * x_in[18] +
+ vX_[4178] * x_in[20] + vX_[4178] * x_in[20] + vX_[6396] * 0.207 + vX_[9376] * vX_[140] +
+ vX_[3779] * vX_[728] + vX_[7420] * vX_[126] + vX_[6837] * vX_[139] + vX_[5647] * 0.207 +
+ vX_[3202] * vX_[250] + vX_[5167] * vX_[1052] + vX_[5662] * vX_[235] + vX_[5634] * vX_[249] +
+ vX_[5000] * 0.207 + vX_[3945] * vX_[368] + vX_[6156] * vX_[1360] + vX_[8803] * vX_[354] +
+ vX_[6241] * vX_[367] + vX_[4529] * 0.207 + vX_[5599] * vX_[488] + vX_[4523] * vX_[1673] +
+ vX_[4454] * vX_[473] + vX_[4473] * vX_[487] + vX_[2712] * vX_[865] + vX_[2318] * vX_[890] +
+ vX_[1611] * vX_[1182] + vX_[2498] * vX_[1206] + vX_[5259] * vX_[1492] + vX_[5739] * vX_[1517] +
+ vX_[4455] * vX_[1802] + vX_[2896] * vX_[1827];
+ jac[780] = vX_[5331] * x_in[20] + vX_[5373] * x_in[19] + vX_[6396] + vX_[5647] * -1 + vX_[5000] + vX_[4529] * -1 +
+ vX_[8676] + vX_[5626] + vX_[5741] + vX_[4395];
+ vX_[4323] = 0 - vX_[4323];
+ jac[817] = vX_[4323] * x_in[20] + vX_[5585] * x_in[18] + vX_[1148] * vX_[1] + vX_[4194] * vX_[126] +
+ vX_[5605] * vX_[1030] + vX_[5204] * vX_[1051] + vX_[4360] * vX_[273] + vX_[5697] * vX_[354] +
+ vX_[4737] * vX_[1651] + vX_[2485] * vX_[1672] + vX_[7409] + vX_[4794] + vX_[1928] + vX_[2433];
+ vX_[4456] = 0 - vX_[4521] + vX_[4485] - vX_[4456];
+ vX_[4607] = vX_[6556] + vX_[4579] + vX_[5198] + vX_[4607];
+ vX_[5544] = vX_[4157] * vX_[750] + vX_[4937] * vX_[754] + vX_[9092] * vX_[4104] + vX_[5544] * vX_[4092];
+ vX_[5200] = vX_[5779] * vX_[186] + vX_[4769] * vX_[166] + vX_[5573] * vX_[824] + vX_[5200] * vX_[3807];
+ vX_[3979] = vX_[5735] * vX_[1374] + vX_[7402] * vX_[1378] + vX_[6593] * vX_[1274] + vX_[3979] * vX_[1130];
+ vX_[2496] = vX_[2505] * vX_[421] + vX_[2495] * vX_[394] + vX_[4919] * vX_[1882] + vX_[2496] * vX_[2916];
+ jac[745] = vX_[4323] * x_in[22] + vX_[4456] * x_in[21] + vX_[4576] * x_in[19] + vX_[8654] * x_in[18] +
+ vX_[4607] * x_in[20] + vX_[4607] * x_in[20] + vX_[5544] * 0.207 + vX_[1148] * vX_[140] +
+ vX_[4194] * vX_[728] + vX_[6421] * vX_[126] + vX_[2713] * vX_[139] + vX_[5200] * 0.207 +
+ vX_[5605] * vX_[250] + vX_[5204] * vX_[1052] + vX_[6123] * vX_[235] + vX_[5003] * vX_[249] +
+ vX_[3979] * 0.207 + vX_[4360] * vX_[368] + vX_[5697] * vX_[1360] + vX_[4566] * vX_[354] +
+ vX_[2666] * vX_[367] + vX_[2496] * 0.207 + vX_[4737] * vX_[488] + vX_[2485] * vX_[1673] +
+ vX_[2432] * vX_[473] + vX_[2442] * vX_[487] + vX_[7409] * vX_[865] + vX_[2304] * vX_[890] +
+ vX_[4794] * vX_[1182] + vX_[4768] * vX_[1206] + vX_[1928] * vX_[1492] + vX_[5273] * vX_[1517] +
+ vX_[2433] * vX_[1802] + vX_[2076] * vX_[1827];
+ jac[781] = vX_[4456] * x_in[20] + vX_[4528] * x_in[19] + vX_[5544] + vX_[5200] * -1 + vX_[3979] + vX_[2496] * -1 +
+ vX_[5588] + vX_[4799] + vX_[4889] + vX_[2424];
+ vX_[459] = 0 - vX_[459];
+ jac[818] = vX_[459] * x_in[20] + vX_[4164] * x_in[18] + vX_[6419] * vX_[1] + vX_[4623] * vX_[126] +
+ vX_[5233] * vX_[1030] + vX_[5701] * vX_[1051] + vX_[4789] * vX_[273] + vX_[4605] * vX_[354] +
+ vX_[2738] * vX_[1651] + vX_[21] * vX_[1672] + vX_[5568] + vX_[4349] + vX_[4843] + vX_[4139];
+ vX_[2178] = 0 - vX_[2397] + vX_[2439] - vX_[2178];
+ vX_[5036] = vX_[5450] + vX_[5008] + vX_[4793] + vX_[5036];
+ vX_[5176] = vX_[4586] * vX_[750] + vX_[4433] * vX_[754] + vX_[6406] * vX_[4104] + vX_[5176] * vX_[4092];
+ vX_[3437] = vX_[8650] * vX_[186] + vX_[4364] * vX_[166] + vX_[5211] * vX_[824] + vX_[3437] * vX_[3807];
+ vX_[4841] = vX_[4724] * vX_[1374] + vX_[6308] * vX_[1378] + vX_[3288] * vX_[1274] + vX_[4841] * vX_[1130];
+ vX_[30] = vX_[38] * vX_[421] + vX_[36] * vX_[394] + vX_[2854] * vX_[1882] + vX_[30] * vX_[2916];
+ jac[746] = vX_[459] * x_in[22] + vX_[2178] * x_in[21] + vX_[5005] * x_in[19] + vX_[4996] * x_in[18] +
+ vX_[5036] * x_in[20] + vX_[5036] * x_in[20] + vX_[5176] * 0.207 + vX_[6419] * vX_[140] +
+ vX_[4623] * vX_[728] + vX_[9173] * vX_[126] + vX_[5987] * vX_[139] + vX_[3437] * 0.207 +
+ vX_[5233] * vX_[250] + vX_[5701] * vX_[1052] + vX_[6144] * vX_[235] + vX_[4385] * vX_[249] +
+ vX_[4841] * 0.207 + vX_[4789] * vX_[368] + vX_[4605] * vX_[1360] + vX_[2683] * vX_[354] +
+ vX_[2456] * vX_[367] + vX_[30] * 0.207 + vX_[2738] * vX_[488] + vX_[21] * vX_[1673] +
+ vX_[2059] * vX_[473] + vX_[11] * vX_[487] + vX_[5568] * vX_[865] + vX_[7012] * vX_[890] +
+ vX_[4349] * vX_[1182] + vX_[6579] * vX_[1206] + vX_[4843] * vX_[1492] + vX_[3754] * vX_[1517] +
+ vX_[4139] * vX_[1802] + vX_[4069] * vX_[1827];
+ jac[782] = vX_[2178] * x_in[20] + vX_[2488] * x_in[19] + vX_[5176] + vX_[3437] * -1 + vX_[4841] + vX_[30] * -1 +
+ vX_[5575] + vX_[4342] + vX_[4839] + vX_[4119];
+ vX_[5564] = 0 - vX_[5564];
+ jac[819] = vX_[5564] * x_in[20] + vX_[4593] * x_in[18] + vX_[5981] * vX_[1] + vX_[5052] * vX_[126] +
+ vX_[6806] * vX_[1030] + vX_[3929] * vX_[1051] + vX_[5218] * vX_[273] + vX_[4448] * vX_[354] +
+ vX_[1925] * vX_[1651] + vX_[3673] * vX_[1672] + vX_[7401] + vX_[3559] + vX_[5166] + vX_[3296];
+ vX_[993] = 0 - vX_[34] + vX_[49] - vX_[993];
+ vX_[5455] = vX_[1044] + vX_[5427] + vX_[4347] + vX_[5455];
+ vX_[5150] = vX_[5015] * vX_[750] + vX_[4862] * vX_[754] + vX_[5535] * vX_[4104] + vX_[5150] * vX_[4092];
+ vX_[3923] = vX_[3529] * vX_[186] + vX_[3932] * vX_[166] + vX_[6598] * vX_[824] + vX_[3923] * vX_[3807];
+ vX_[6612] = vX_[4437] * vX_[1374] + vX_[8340] * vX_[1378] + vX_[5319] * vX_[1274] + vX_[6612] * vX_[1130];
+ vX_[3631] = vX_[3688] * vX_[421] + vX_[3690] * vX_[394] + vX_[2012] * vX_[1882] + vX_[3631] * vX_[2916];
+ jac[747] = vX_[5564] * x_in[22] + vX_[993] * x_in[21] + vX_[5424] * x_in[19] + vX_[4892] * x_in[18] +
+ vX_[5455] * x_in[20] + vX_[5455] * x_in[20] + vX_[5150] * 0.207 + vX_[5981] * vX_[140] +
+ vX_[5052] * vX_[728] + vX_[5548] * vX_[126] + vX_[5542] * vX_[139] + vX_[3923] * 0.207 +
+ vX_[6806] * vX_[250] + vX_[3929] * vX_[1052] + vX_[6557] * vX_[235] + vX_[7867] * vX_[249] +
+ vX_[6612] * 0.207 + vX_[5218] * vX_[368] + vX_[4448] * vX_[1360] + vX_[4235] * vX_[354] +
+ vX_[4450] * vX_[367] + vX_[3631] * 0.207 + vX_[1925] * vX_[488] + vX_[3673] * vX_[1673] +
+ vX_[3326] * vX_[473] + vX_[3324] * vX_[487] + vX_[7401] * vX_[865] + vX_[5159] * vX_[890] +
+ vX_[3559] * vX_[1182] + vX_[3541] * vX_[1206] + vX_[5166] * vX_[1492] + vX_[4965] * vX_[1517] +
+ vX_[3296] * vX_[1802] + vX_[3106] * vX_[1827];
+ jac[783] = vX_[993] * x_in[20] + vX_[23] * x_in[19] + vX_[5150] + vX_[3923] * -1 + vX_[6612] + vX_[3631] * -1 +
+ vX_[3915] + vX_[6964] + vX_[5360] + vX_[3307];
+ vX_[5574] = 0 - vX_[5574];
+ jac[820] = vX_[5574] * x_in[20] + vX_[5022] * x_in[18] + vX_[3284] * vX_[1] + vX_[5471] * vX_[126] +
+ vX_[3963] * vX_[1030] + vX_[7424] * vX_[1051] + vX_[5637] * vX_[273] + vX_[5347] * vX_[354] +
+ vX_[3723] * vX_[1651] + vX_[8755] * vX_[1672] + vX_[4733] + vX_[3125] + vX_[3639] + vX_[8368];
+ vX_[3316] = 0 - vX_[3680] + vX_[3334] - vX_[3316];
+ vX_[5884] = vX_[4840] + vX_[5856] + vX_[3560] + vX_[5884];
+ vX_[6583] = vX_[5434] * vX_[750] + vX_[5291] * vX_[754] + vX_[5122] * vX_[4104] + vX_[6583] * vX_[4092];
+ vX_[4465] = vX_[3147] * vX_[186] + vX_[3154] * vX_[166] + vX_[4099] * vX_[824] + vX_[4465] * vX_[3807];
+ vX_[3626] = vX_[4020] * vX_[1374] + vX_[1998] * vX_[1378] + vX_[2509] * vX_[1274] + vX_[3626] * vX_[1130];
+ vX_[8751] = vX_[8780] * vX_[421] + vX_[8782] * vX_[394] + vX_[1855] * vX_[1882] + vX_[8751] * vX_[2916];
+ jac[748] = vX_[5574] * x_in[22] + vX_[3316] * x_in[21] + vX_[5853] * x_in[19] + vX_[4429] * x_in[18] +
+ vX_[5884] * x_in[20] + vX_[5884] * x_in[20] + vX_[6583] * 0.207 + vX_[3284] * vX_[140] +
+ vX_[5471] * vX_[728] + vX_[4687] * vX_[126] + vX_[4703] * vX_[139] + vX_[4465] * 0.207 +
+ vX_[3963] * vX_[250] + vX_[7424] * vX_[1052] + vX_[2696] * vX_[235] + vX_[7584] * vX_[249] +
+ vX_[3626] * 0.207 + vX_[5637] * vX_[368] + vX_[5347] * vX_[1360] + vX_[3996] * vX_[354] +
+ vX_[4000] * vX_[367] + vX_[8751] * 0.207 + vX_[3723] * vX_[488] + vX_[8755] * vX_[1673] +
+ vX_[8361] * vX_[473] + vX_[8381] * vX_[487] + vX_[4733] * vX_[865] + vX_[2040] * vX_[890] +
+ vX_[3125] * vX_[1182] + vX_[8265] * vX_[1206] + vX_[3639] * vX_[1492] + vX_[6250] * vX_[1517] +
+ vX_[8368] * vX_[1802] + vX_[8294] * vX_[1827];
+ jac[784] = vX_[3316] * x_in[20] + vX_[3667] * x_in[19] + vX_[6583] + vX_[4465] * -1 + vX_[3626] + vX_[8751] * -1 +
+ vX_[4818] + vX_[3121] + vX_[6087] + vX_[8370];
+ vX_[3916] = 0 - vX_[3916];
+ jac[821] = vX_[3916] * x_in[20] + vX_[5441] * x_in[18] + vX_[4690] * vX_[1] + vX_[5900] * vX_[126] +
+ vX_[2684] * vX_[1030] + vX_[2289] * vX_[1051] + vX_[6066] * vX_[273] + vX_[7466] * vX_[354] +
+ vX_[8995] * vX_[1651] + vX_[7490] * vX_[1672] + vX_[3992] + vX_[8688] + vX_[3198] + vX_[7105];
+ vX_[8378] = 0 - vX_[8778] + vX_[8508] - vX_[8378];
+ vX_[6313] = vX_[5514] + vX_[6285] + vX_[3124] + vX_[6313];
+ vX_[4316] = vX_[5863] * vX_[750] + vX_[5710] * vX_[754] + vX_[1035] * vX_[4104] + vX_[4316] * vX_[4092];
+ vX_[2702] = vX_[2703] * vX_[186] + vX_[2697] * vX_[166] + vX_[7838] * vX_[824] + vX_[2702] * vX_[3807];
+ vX_[3218] = vX_[2778] * vX_[1374] + vX_[4830] * vX_[1378] + vX_[3994] * vX_[1274] + vX_[3218] * vX_[1130];
+ vX_[7503] = vX_[7494] * vX_[421] + vX_[7505] * vX_[394] + vX_[1250] * vX_[1882] + vX_[7503] * vX_[2916];
+ jac[749] = vX_[3916] * x_in[22] + vX_[8378] * x_in[21] + vX_[6282] * x_in[19] + vX_[7100] * x_in[18] +
+ vX_[6313] * x_in[20] + vX_[6313] * x_in[20] + vX_[4316] * 0.207 + vX_[4690] * vX_[140] +
+ vX_[5900] * vX_[728] + vX_[4264] * vX_[126] + vX_[4550] * vX_[139] + vX_[2702] * 0.207 +
+ vX_[2684] * vX_[250] + vX_[2289] * vX_[1052] + vX_[2320] * vX_[235] + vX_[482] * vX_[249] +
+ vX_[3218] * 0.207 + vX_[6066] * vX_[368] + vX_[7466] * vX_[1360] + vX_[8049] * vX_[354] +
+ vX_[7887] * vX_[367] + vX_[7503] * 0.207 + vX_[8995] * vX_[488] + vX_[7490] * vX_[1673] +
+ vX_[7108] * vX_[473] + vX_[7233] * vX_[487] + vX_[3992] * vX_[865] + vX_[4272] * vX_[890] +
+ vX_[8688] * vX_[1182] + vX_[406] * vX_[1206] + vX_[3198] * vX_[1492] + vX_[2760] * vX_[1517] +
+ vX_[7105] * vX_[1802] + vX_[7019] * vX_[1827];
+ jac[785] = vX_[8378] * x_in[20] + vX_[8759] * x_in[19] + vX_[4316] + vX_[2702] * -1 + vX_[3218] + vX_[7503] * -1 +
+ vX_[5618] + vX_[8255] + vX_[3194] + vX_[7095];
+ vX_[4744] = 0 - vX_[4744];
+ jac[822] = vX_[4744] * x_in[20] + vX_[5870] * x_in[18] + vX_[3852] * vX_[1] + vX_[6329] * vX_[126] +
+ vX_[2745] * vX_[1030] + vX_[1792] * vX_[1051] + vX_[6495] * vX_[273] + vX_[7881] * vX_[354] +
+ vX_[7802] * vX_[1651] + vX_[6201] * vX_[1672] + vX_[5847] + vX_[1371] + vX_[3280] + vX_[5814];
+ vX_[7091] = 0 - vX_[7501] + vX_[7231] - vX_[7091];
+ vX_[6732] = vX_[3650] + vX_[6704] + vX_[8691] + vX_[6732];
+ vX_[6473] = vX_[6292] * vX_[750] + vX_[6139] * vX_[754] + vX_[4256] * vX_[4104] + vX_[6473] * vX_[4092];
+ vX_[1746] = vX_[1577] * vX_[186] + vX_[1722] * vX_[166] + vX_[8667] * vX_[824] + vX_[1746] * vX_[3807];
+ vX_[1697] = vX_[7661] * vX_[1374] + vX_[4535] * vX_[1378] + vX_[3637] * vX_[1274] + vX_[1697] * vX_[1130];
+ vX_[6226] = vX_[6239] * vX_[421] + vX_[6219] * vX_[394] + vX_[7930] * vX_[1882] + vX_[6226] * vX_[2916];
+ jac[750] = vX_[4744] * x_in[22] + vX_[7091] * x_in[21] + vX_[6701] * x_in[19] + vX_[3185] * x_in[18] +
+ vX_[6732] * x_in[20] + vX_[6732] * x_in[20] + vX_[6473] * 0.207 + vX_[3852] * vX_[140] +
+ vX_[6329] * vX_[728] + vX_[6094] * vX_[126] + vX_[6487] * vX_[139] + vX_[1746] * 0.207 +
+ vX_[2745] * vX_[250] + vX_[1792] * vX_[1052] + vX_[1385] * vX_[235] + vX_[691] * vX_[249] +
+ vX_[1697] * 0.207 + vX_[6495] * vX_[368] + vX_[7881] * vX_[1360] + vX_[2891] * vX_[354] +
+ vX_[2780] * vX_[367] + vX_[6226] * 0.207 + vX_[7802] * vX_[488] + vX_[6201] * vX_[1673] +
+ vX_[5958] * vX_[473] + vX_[5956] * vX_[487] + vX_[5847] * vX_[865] + vX_[3465] * vX_[890] +
+ vX_[1371] * vX_[1182] + vX_[1521] * vX_[1206] + vX_[3280] * vX_[1492] + vX_[8732] * vX_[1517] +
+ vX_[5814] * vX_[1802] + vX_[5757] * vX_[1827];
+ jac[786] = vX_[7091] * x_in[20] + vX_[7473] * x_in[19] + vX_[6473] + vX_[1746] * -1 + vX_[1697] + vX_[6226] * -1 +
+ vX_[3886] + vX_[1381] + vX_[3735] + vX_[5828];
+ vX_[4283] = 0 - vX_[4283];
+ jac[823] = vX_[4283] * x_in[20] + vX_[6299] * x_in[18] + vX_[3507] * vX_[1] + vX_[6748] * vX_[126] +
+ vX_[1349] * vX_[1030] + vX_[1582] * vX_[1051] + vX_[6914] * vX_[273] + vX_[2367] * vX_[354] +
+ vX_[6527] * vX_[1651] + vX_[4951] * vX_[1672] + vX_[3501] + vX_[1403] + vX_[3645] + vX_[4677];
+ vX_[5954] = 0 - vX_[6236] + vX_[6031] - vX_[5954];
+ vX_[7159] = vX_[3197] + vX_[7131] + vX_[1382] + vX_[7159];
+ vX_[3478] = vX_[6711] * vX_[750] + vX_[6568] * vX_[754] + vX_[6044] * vX_[4104] + vX_[3478] * vX_[4092];
+ vX_[1595] = vX_[1636] * vX_[186] + vX_[1633] * vX_[166] + vX_[3731] * vX_[824] + vX_[1595] * vX_[3807];
+ vX_[3178] = vX_[2386] * vX_[1374] + vX_[4004] * vX_[1378] + vX_[7082] * vX_[1274] + vX_[3178] * vX_[1130];
+ vX_[4959] = vX_[4976] * vX_[421] + vX_[4962] * vX_[394] + vX_[6655] * vX_[1882] + vX_[4959] * vX_[2916];
+ jac[751] = vX_[4283] * x_in[22] + vX_[5954] * x_in[21] + vX_[7128] * x_in[19] + vX_[2384] * x_in[18] +
+ vX_[7159] * x_in[20] + vX_[7159] * x_in[20] + vX_[3478] * 0.207 + vX_[3507] * vX_[140] +
+ vX_[6748] * vX_[728] + vX_[3445] * vX_[126] + vX_[3094] * vX_[139] + vX_[1595] * 0.207 +
+ vX_[1349] * vX_[250] + vX_[1582] * vX_[1052] + vX_[1410] * vX_[235] + vX_[1416] * vX_[249] +
+ vX_[3178] * 0.207 + vX_[6914] * vX_[368] + vX_[2367] * vX_[1360] + vX_[624] * vX_[354] +
+ vX_[2373] * vX_[367] + vX_[4959] * 0.207 + vX_[6527] * vX_[488] + vX_[4951] * vX_[1673] +
+ vX_[4679] * vX_[473] + vX_[4754] * vX_[487] + vX_[3501] * vX_[865] + vX_[2768] * vX_[890] +
+ vX_[1403] * vX_[1182] + vX_[320] * vX_[1206] + vX_[3645] * vX_[1492] + vX_[1688] * vX_[1517] +
+ vX_[4677] * vX_[1802] + vX_[4478] * vX_[1827];
+ jac[787] = vX_[5954] * x_in[20] + vX_[6218] * x_in[19] + vX_[3478] + vX_[1595] * -1 + vX_[3178] + vX_[4959] * -1 +
+ vX_[6901] + vX_[592] + vX_[1715] + vX_[4537];
+ vX_[6476] = 0 - vX_[6476];
+ jac[824] = vX_[6476] * x_in[20] + vX_[6718] * x_in[18] + vX_[3481] * vX_[1] + vX_[7175] * vX_[126] +
+ vX_[1309] * vX_[1030] + vX_[1657] * vX_[1051] + vX_[7341] * vX_[273] + vX_[1812] * vX_[354] +
+ vX_[5325] * vX_[1651] + vX_[2476] * vX_[1672] + vX_[3051] + vX_[9329] + vX_[1881] + vX_[2202];
+ vX_[4675] = 0 - vX_[4945] + vX_[4752] - vX_[4675];
+ vX_[7586] = vX_[3693] + vX_[7558] + vX_[1391] + vX_[7586];
+ vX_[3096] = vX_[7138] * vX_[750] + vX_[6987] * vX_[754] + vX_[3494] * vX_[4104] + vX_[3096] * vX_[4092];
+ vX_[1989] = vX_[1859] * vX_[186] + vX_[2034] * vX_[166] + vX_[345] * vX_[824] + vX_[1989] * vX_[3807];
+ vX_[1519] = vX_[9368] * vX_[1374] + vX_[7520] * vX_[1378] + vX_[936] * vX_[1274] + vX_[1519] * vX_[1130];
+ vX_[2472] = vX_[2501] * vX_[421] + vX_[2503] * vX_[394] + vX_[5388] * vX_[1882] + vX_[2472] * vX_[2916];
+ jac[752] = vX_[6476] * x_in[22] + vX_[4675] * x_in[21] + vX_[7555] * x_in[19] + vX_[721] * x_in[18] +
+ vX_[7586] * x_in[20] + vX_[7586] * x_in[20] + vX_[3096] * 0.207 + vX_[3481] * vX_[140] +
+ vX_[7175] * vX_[728] + vX_[6275] * vX_[126] + vX_[3081] * vX_[139] + vX_[1989] * 0.207 +
+ vX_[1309] * vX_[250] + vX_[1657] * vX_[1052] + vX_[9355] * vX_[235] + vX_[9354] * vX_[249] +
+ vX_[1519] * 0.207 + vX_[7341] * vX_[368] + vX_[1812] * vX_[1360] + vX_[1708] * vX_[354] +
+ vX_[1821] * vX_[367] + vX_[2472] * 0.207 + vX_[5325] * vX_[488] + vX_[2476] * vX_[1673] +
+ vX_[2281] * vX_[473] + vX_[2279] * vX_[487] + vX_[3051] * vX_[865] + vX_[9182] * vX_[890] +
+ vX_[9329] * vX_[1182] + vX_[1780] * vX_[1206] + vX_[1881] * vX_[1492] + vX_[1758] * vX_[1517] +
+ vX_[2202] * vX_[1802] + vX_[2007] * vX_[1827];
+ jac[788] = vX_[4675] * x_in[20] + vX_[4955] * x_in[19] + vX_[3096] + vX_[1989] * -1 + vX_[1519] + vX_[2472] * -1 +
+ vX_[3055] + vX_[1231] + vX_[1877] + vX_[2204];
+ vX_[3470] = 0 - vX_[3470];
+ jac[825] = vX_[3470] * x_in[20] + vX_[7145] * x_in[18] + vX_[7318] * vX_[1] + vX_[7602] * vX_[126] +
+ vX_[9169] * vX_[1030] + vX_[1732] * vX_[1051] + vX_[7768] * vX_[273] + vX_[442] * vX_[354] +
+ vX_[2821] * vX_[1651] + vX_[1813] * vX_[1672] + vX_[2229] + vX_[9363] + vX_[9310] + vX_[1829];
+ vX_[2277] = 0 - vX_[2499] + vX_[2354] - vX_[2277];
+ vX_[8005] = vX_[1737] + vX_[7977] + vX_[9226] + vX_[8005];
+ vX_[2625] = vX_[7565] * vX_[750] + vX_[7414] * vX_[754] + vX_[7337] * vX_[4104] + vX_[2625] * vX_[4092];
+ vX_[831] = vX_[8147] * vX_[186] + vX_[1822] * vX_[166] + vX_[9139] * vX_[824] + vX_[831] * vX_[3807];
+ vX_[8425] = vX_[417] * vX_[1374] + vX_[2416] * vX_[1378] + vX_[3289] * vX_[1274] + vX_[8425] * vX_[1130];
+ vX_[1884] = vX_[1863] * vX_[421] + vX_[1871] * vX_[394] + vX_[2872] * vX_[1882] + vX_[1884] * vX_[2916];
+ jac[753] = vX_[3470] * x_in[22] + vX_[2277] * x_in[21] + vX_[7974] * x_in[19] + vX_[6] * x_in[18] +
+ vX_[8005] * x_in[20] + vX_[8005] * x_in[20] + vX_[2625] * 0.207 + vX_[7318] * vX_[140] +
+ vX_[7602] * vX_[728] + vX_[2661] * vX_[126] + vX_[1826] * vX_[139] + vX_[831] * 0.207 +
+ vX_[9169] * vX_[250] + vX_[1732] * vX_[1052] + vX_[7925] * vX_[235] + vX_[1834] * vX_[249] +
+ vX_[8425] * 0.207 + vX_[7768] * vX_[368] + vX_[442] * vX_[1360] + vX_[431] * vX_[354] +
+ vX_[436] * vX_[367] + vX_[1884] * 0.207 + vX_[2821] * vX_[488] + vX_[1813] * vX_[1673] +
+ vX_[843] * vX_[473] + vX_[1151] * vX_[487] + vX_[2229] * vX_[865] + vX_[2211] * vX_[890] +
+ vX_[9363] * vX_[1182] + vX_[1725] * vX_[1206] + vX_[9310] * vX_[1492] + vX_[9228] * vX_[1517] +
+ vX_[1829] * vX_[1802] + vX_[9158] * vX_[1827];
+ jac[789] = vX_[2277] * x_in[20] + vX_[2480] * x_in[19] + vX_[2625] + vX_[831] * -1 + vX_[8425] + vX_[1884] * -1 +
+ vX_[2232] + vX_[9369] + vX_[9307] + vX_[873];
+ vX_[3048] = 0 - vX_[3048];
+ jac[826] = vX_[3048] * x_in[20] + vX_[7572] * x_in[18] + vX_[2672] * vX_[1] + vX_[8021] * vX_[126] +
+ vX_[8695] * vX_[1030] + vX_[7317] * vX_[1051] + vX_[8187] * vX_[273] + vX_[7438] * vX_[354] +
+ vX_[1300] * vX_[1651] + vX_[9238] * vX_[1672] + vX_[1056] + vX_[8639] + vX_[1865] + vX_[9270];
+ vX_[842] = 0 - vX_[1862] + vX_[1190] - vX_[842];
+ vX_[8434] = vX_[1879] + vX_[8406] + vX_[9374] + vX_[8434];
+ vX_[2227] = vX_[7984] * vX_[750] + vX_[7841] * vX_[754] + vX_[2633] * vX_[4104] + vX_[2227] * vX_[4092];
+ vX_[2372] = vX_[3231] * vX_[186] + vX_[2414] * vX_[166] + vX_[8185] * vX_[824] + vX_[2372] * vX_[3807];
+ vX_[9135] = vX_[1995] * vX_[1374] + vX_[496] * vX_[1378] + vX_[1908] * vX_[1274] + vX_[9135] * vX_[1130];
+ vX_[9234] = vX_[9229] * vX_[421] + vX_[9231] * vX_[394] + vX_[1228] * vX_[1882] + vX_[9234] * vX_[2916];
+ jac[754] = vX_[3048] * x_in[22] + vX_[842] * x_in[21] + vX_[8403] * x_in[19] + vX_[1743] * x_in[18] +
+ vX_[8434] * x_in[20] + vX_[8434] * x_in[20] + vX_[2227] * 0.207 + vX_[2672] * vX_[140] +
+ vX_[8021] * vX_[728] + vX_[2260] * vX_[126] + vX_[8615] * vX_[139] + vX_[2372] * 0.207 +
+ vX_[8695] * vX_[250] + vX_[7317] * vX_[1052] + vX_[2404] * vX_[235] + vX_[6920] * vX_[249] +
+ vX_[9135] * 0.207 + vX_[8187] * vX_[368] + vX_[7438] * vX_[1360] + vX_[999] * vX_[354] +
+ vX_[7579] * vX_[367] + vX_[9234] * 0.207 + vX_[1300] * vX_[488] + vX_[9238] * vX_[1673] +
+ vX_[9267] * vX_[473] + vX_[9265] * vX_[487] + vX_[1056] * vX_[865] + vX_[1127] * vX_[890] +
+ vX_[8639] * vX_[1182] + vX_[7657] * vX_[1206] + vX_[1865] * vX_[1492] + vX_[5391] * vX_[1517] +
+ vX_[9270] * vX_[1802] + vX_[9300] * vX_[1827];
+ jac[790] = vX_[842] * x_in[20] + vX_[9131] * x_in[19] + vX_[2227] + vX_[2372] * -1 + vX_[9135] + vX_[9234] * -1 +
+ vX_[1058] + vX_[8566] + vX_[8254] + vX_[9272];
+ vX_[2230] = 0 - vX_[2230];
+ jac[827] = vX_[2230] * x_in[20] + vX_[7991] * x_in[18] + vX_[2234] * vX_[1] + vX_[756] * vX_[126] +
+ vX_[1689] * vX_[1030] + vX_[6485] * vX_[1051] + vX_[8616] * vX_[273] + vX_[1380] * vX_[354] +
+ vX_[9210] * vX_[1651] + vX_[9339] * vX_[1672] + vX_[893] + vX_[1209] + vX_[1520] + vX_[1830];
+ vX_[9268] = 0 - vX_[9232] + vX_[9263] - vX_[9268];
+ vX_[8863] = vX_[9308] + vX_[8835] + vX_[8578] + vX_[8863];
+ vX_[516] = vX_[8413] * vX_[750] + vX_[8260] * vX_[754] + vX_[2754] * vX_[4104] + vX_[516] * vX_[4092];
+ vX_[6493] = vX_[3187] * vX_[186] + vX_[1069] * vX_[166] + vX_[1716] * vX_[824] + vX_[6493] * vX_[3807];
+ vX_[542] = vX_[2064] * vX_[1374] + vX_[1799] * vX_[1378] + vX_[9318] * vX_[1274] + vX_[542] * vX_[1130];
+ vX_[9335] = vX_[9331] * vX_[421] + vX_[1690] * vX_[394] + vX_[9186] * vX_[1882] + vX_[9335] * vX_[2916];
+ jac[755] = vX_[2230] * x_in[22] + vX_[9268] * x_in[21] + vX_[8832] * x_in[19] + vX_[9172] * x_in[18] +
+ vX_[8863] * x_in[20] + vX_[8863] * x_in[20] + vX_[516] * 0.207 + vX_[2234] * vX_[140] +
+ vX_[756] * vX_[728] + vX_[1479] * vX_[126] + vX_[8396] * vX_[139] + vX_[6493] * 0.207 +
+ vX_[1689] * vX_[250] + vX_[6485] * vX_[1052] + vX_[7376] * vX_[235] + vX_[5806] * vX_[249] +
+ vX_[542] * 0.207 + vX_[8616] * vX_[368] + vX_[1380] * vX_[1360] + vX_[7831] * vX_[354] +
+ vX_[2106] * vX_[367] + vX_[9335] * 0.207 + vX_[9210] * vX_[488] + vX_[9339] * vX_[1673] +
+ vX_[9361] * vX_[473] + vX_[9359] * vX_[487] + vX_[893] * vX_[865] + vX_[9177] * vX_[890] +
+ vX_[1209] * vX_[1182] + vX_[8953] * vX_[1206] + vX_[1520] * vX_[1492] + vX_[9006] * vX_[1517] +
+ vX_[1830] * vX_[1802] + vX_[9081] * vX_[1827];
+ jac[791] = vX_[9268] * x_in[20] + vX_[9237] * x_in[19] + vX_[516] + vX_[6493] * -1 + vX_[542] + vX_[9335] * -1 +
+ vX_[985] + vX_[1294] + vX_[1606] + vX_[1920];
+ vX_[12] = vX_[13] * vX_[12];
+ vX_[9335] = vX_[20] * vX_[19];
+ jac[759] = 1 - vX_[12] - vX_[9335];
+ vX_[542] = vX_[20] * vX_[16];
+ vX_[6493] = vX_[13] * vX_[18];
+ jac[760] = vX_[542] + vX_[6493];
+ jac[795] = vX_[542] - vX_[6493];
+ vX_[6493] = vX_[13] * vX_[16];
+ vX_[20] = vX_[20] * vX_[18];
+ jac[761] = vX_[6493] - vX_[20];
+ jac[831] = vX_[6493] + vX_[20];
+ vX_[16] = vX_[32] * vX_[16];
+ jac[796] = 1 - vX_[12] - vX_[16];
+ jac[833] = 1 - vX_[9335] - vX_[16];
+ vX_[19] = vX_[13] * vX_[19];
+ vX_[32] = vX_[32] * vX_[18];
+ jac[797] = vX_[19] + vX_[32];
+ jac[832] = vX_[19] - vX_[32];
+ // dependent variables without operations
+ jac[722] = 1;
+ jac[870] = 1;
+ jac[907] = 1;
+ jac[944] = 1;
+ jac[981] = 1;
+ jac[1018] = 1;
+ jac[1055] = 1;
+ jac[1092] = 1;
+ jac[1129] = 1;
+ jac[1166] = 1;
+ jac[1203] = 1;
+ jac[1240] = 1;
+ jac[1277] = 1;
+
+
+ return dFdx_;
+}
+
+const HyQWithContactModelLinearizedReverse::state_control_matrix_t&
+HyQWithContactModelLinearizedReverse::getDerivativeControl(const ct::core::StateVector<36>& x,
+ const ct::core::ControlVector<12>& u,
+ const double t)
+{
+ double* jac = dFdu_.data();
+ Eigen::Matrix<double, 36 + 12, 1> x_in;
+ x_in << x, u;
+
+ vU_[0] = cos(x_in[12]);
+ vU_[1] = -0.207 * vU_[0];
+ vU_[2] = -1 * vU_[1];
+ vU_[3] = sin(x_in[13]);
+ vU_[4] = sin(x_in[14]);
+ vU_[5] = cos(x_in[14]);
+ vU_[6] = -0.00370574557885489 * vU_[4] + -0.463218197356862 * vU_[5];
+ vU_[7] = 0 - vU_[4];
+ vU_[8] = -2.96459646308422e-05 * vU_[4] + -0.00370574557885489 * vU_[5];
+ vU_[9] = 0.35 * vU_[4];
+ vU_[10] = -0.35 * vU_[5];
+ vU_[11] = -0.00370574557885489 * vU_[9] - 0.417781802643138 * vU_[10];
+ vU_[12] = 0.881 * vU_[10];
+ vU_[13] = -0.110125 + vU_[12];
+ vU_[14] = vU_[11] + vU_[13];
+ vU_[15] = 0.880970354035369 * vU_[9] - -0.00370574557885489 * vU_[10];
+ vU_[16] = 0 - 0.881 * vU_[9];
+ vU_[17] = -0.000881 + vU_[16];
+ vU_[18] = vU_[15] + vU_[17];
+ vU_[13] = 0 - vU_[13];
+ vU_[19] = vU_[4] * vU_[13] + vU_[5] * vU_[17];
+ vU_[20] = -0.0825825 + vU_[14] * vU_[7] + vU_[18] * vU_[5] - vU_[19];
+ vU_[13] = vU_[5] * vU_[13] + vU_[7] * vU_[17];
+ vU_[18] = 0.47422804 + vU_[14] * vU_[5] + vU_[18] * vU_[4] + vU_[13];
+ vU_[15] = vU_[15] * vU_[9] - vU_[11] * vU_[10];
+ vU_[11] = 0.089871 + vU_[15];
+ vU_[14] = vU_[18] / vU_[11];
+ vU_[17] = vU_[6] * vU_[7] + vU_[8] * vU_[5] - vU_[20] * vU_[14];
+ vU_[21] = cos(x_in[13]);
+ vU_[8] = vU_[8] * vU_[4] + vU_[6] * vU_[5];
+ vU_[6] = 4.027 + vU_[8] - vU_[18] * vU_[14];
+ vU_[22] = vU_[6] - 4.027;
+ vU_[23] = vU_[3] * vU_[17] + vU_[21] * vU_[22];
+ vU_[24] = 0 - vU_[3];
+ vU_[25] = vU_[20] / vU_[11];
+ vU_[8] = 3.56375215667851 - vU_[8] - vU_[20] * vU_[25];
+ vU_[26] = vU_[8] - 4.027;
+ vU_[27] = vU_[3] * vU_[26] + vU_[21] * vU_[17];
+ vU_[28] = 0 - -0.000102 * vU_[25];
+ vU_[25] = 0 - 2.1e-05 * vU_[25];
+ vU_[29] = vU_[3] * vU_[28] + vU_[21] * vU_[25];
+ vU_[30] = 0 - -0.000102 * vU_[14];
+ vU_[14] = 0 - 2.1e-05 * vU_[14];
+ vU_[31] = vU_[3] * vU_[30] + vU_[21] * vU_[14];
+ vU_[32] = vU_[29] * vU_[21] + vU_[31] * vU_[24];
+ vU_[31] = vU_[29] * vU_[3] + vU_[31] * vU_[21];
+ vU_[29] = -0.08 * vU_[3];
+ vU_[33] = -1 * vU_[29];
+ vU_[34] = -0.08 * vU_[21];
+ vU_[8] = vU_[33] * vU_[8] - vU_[34] * vU_[17];
+ vU_[6] = vU_[33] * vU_[17] - vU_[34] * vU_[6];
+ vU_[17] = vU_[8] * vU_[33] - vU_[6] * vU_[34];
+ vU_[12] = 0.026409 + -0.22025 * vU_[10] + vU_[12] * vU_[10] - vU_[15];
+ vU_[35] = 0.000468 - -0.001762 * vU_[9] - vU_[16] * vU_[9] - vU_[15];
+ vU_[16] = -0.000881 * vU_[10] + vU_[16] * vU_[10] - -0.110125 * vU_[9];
+ vU_[10] = vU_[4] * vU_[35] + vU_[5] * vU_[16];
+ vU_[16] = vU_[4] * vU_[16] + vU_[5] * vU_[12];
+ vU_[36] = vU_[10] * vU_[4] + vU_[16] * vU_[5];
+ vU_[19] = 0.0825825 + vU_[19];
+ vU_[37] = 0 - 4.027 * vU_[33];
+ vU_[35] = 0.005495 + vU_[12] + vU_[35] + vU_[15] - vU_[36] - -0.000102 * -0.000102 / vU_[11] -
+ 2. * vU_[19] * vU_[33] - vU_[37] * vU_[33] - vU_[17];
+ vU_[12] = 2.1e-05 / vU_[11];
+ vU_[13] = -0.47422804 - vU_[13];
+ vU_[16] = -0.007418 + vU_[16] * vU_[7] + vU_[10] * vU_[5] - -0.000102 * vU_[12] + vU_[19] * vU_[34] +
+ vU_[37] * vU_[34] - vU_[13] * vU_[33];
+ vU_[10] = vU_[3] * vU_[35] + vU_[21] * vU_[16];
+ vU_[7] = 4.027 * vU_[34];
+ vU_[12] = 2. * vU_[13] * vU_[34] + 0.087136 + vU_[15] + vU_[36] - 2.1e-05 * vU_[12] + vU_[7] * vU_[34] - vU_[17];
+ vU_[16] = vU_[3] * vU_[16] + vU_[21] * vU_[12];
+ vU_[36] = vU_[10] * vU_[3] + vU_[16] * vU_[21];
+ vU_[15] = 0.011033 + vU_[17] + vU_[36];
+ vU_[38] = vU_[31] / vU_[15];
+ vU_[39] = vU_[23] * vU_[24] + vU_[27] * vU_[21] - vU_[32] * vU_[38];
+ vU_[40] = vU_[2] * vU_[39];
+ vU_[41] = sin(x_in[12]);
+ vU_[42] = 0.207 * vU_[41];
+ vU_[7] = vU_[7] + vU_[13];
+ vU_[13] = 0 - vU_[7];
+ vU_[37] = vU_[37] + vU_[19];
+ vU_[19] = vU_[21] * vU_[13] + vU_[24] * vU_[37];
+ vU_[43] = 0.1466472 + vU_[19];
+ vU_[44] = 0 - vU_[43] * vU_[38];
+ vU_[45] = vU_[42] * vU_[44];
+ vU_[46] = vU_[40] - vU_[45];
+ vU_[47] = cos(x_in[15]);
+ vU_[48] = 0.207 * vU_[47];
+ vU_[49] = sin(x_in[16]);
+ vU_[50] = 0 - vU_[49];
+ vU_[51] = sin(x_in[17]);
+ vU_[52] = cos(x_in[17]);
+ vU_[53] = -0.00185880198235362 * vU_[51] + -0.466187537174287 * vU_[52];
+ vU_[54] = 0 - vU_[51];
+ vU_[55] = -7.4114911576828e-06 * vU_[51] + -0.00185880198235362 * vU_[52];
+ vU_[56] = 0.35 * vU_[51];
+ vU_[57] = -0.35 * vU_[52];
+ vU_[58] = -0.00185880198235362 * vU_[56] - 0.414812462825713 * vU_[57];
+ vU_[59] = 0.881 * vU_[57];
+ vU_[60] = -0.1104774 + vU_[59];
+ vU_[61] = vU_[58] + vU_[60];
+ vU_[62] = 0.880992588508842 * vU_[56] - -0.00185880198235362 * vU_[57];
+ vU_[63] = 0 - 0.881 * vU_[56];
+ vU_[64] = -0.0004405 + vU_[63];
+ vU_[65] = vU_[62] + vU_[64];
+ vU_[60] = 0 - vU_[60];
+ vU_[66] = vU_[51] * vU_[60] + vU_[52] * vU_[64];
+ vU_[67] = -0.0825825 + vU_[61] * vU_[54] + vU_[65] * vU_[52] - vU_[66];
+ vU_[60] = vU_[52] * vU_[60] + vU_[54] * vU_[64];
+ vU_[65] = 0.47422804 + vU_[61] * vU_[52] + vU_[65] * vU_[51] + vU_[60];
+ vU_[62] = vU_[62] * vU_[56] - vU_[58] * vU_[57];
+ vU_[58] = 0.089871 + vU_[62];
+ vU_[61] = vU_[65] / vU_[58];
+ vU_[64] = vU_[53] * vU_[54] + vU_[55] * vU_[52] - vU_[67] * vU_[61];
+ vU_[68] = cos(x_in[16]);
+ vU_[69] = 0 - vU_[68];
+ vU_[55] = vU_[55] * vU_[51] + vU_[53] * vU_[52];
+ vU_[53] = 4.027 + vU_[55] - vU_[65] * vU_[61];
+ vU_[70] = vU_[53] - 4.027;
+ vU_[71] = vU_[50] * vU_[64] + vU_[69] * vU_[70];
+ vU_[72] = vU_[67] / vU_[58];
+ vU_[55] = 3.56080505133456 - vU_[55] - vU_[67] * vU_[72];
+ vU_[73] = vU_[55] - 4.027;
+ vU_[74] = vU_[50] * vU_[73] + vU_[69] * vU_[64];
+ vU_[75] = -8.81e-05 * vU_[52];
+ vU_[76] = 8.81e-05 * vU_[54];
+ vU_[77] = 8.81e-05 * vU_[56];
+ vU_[78] = 2. * vU_[77];
+ vU_[79] = 0 - -8.81e-05 * vU_[57];
+ vU_[80] = 2. * vU_[79];
+ vU_[77] = 0 - vU_[77];
+ vU_[81] = -0.000102 + vU_[78] * vU_[54] + vU_[80] * vU_[52] - vU_[52] * vU_[79] - vU_[51] * vU_[77];
+ vU_[82] = vU_[75] * vU_[54] + vU_[76] * vU_[52] - vU_[81] * vU_[72];
+ vU_[83] = -8.81e-05 * vU_[51];
+ vU_[84] = 8.81e-05 * vU_[52];
+ vU_[77] = 2.1e-05 + vU_[78] * vU_[52] + vU_[80] * vU_[51] + vU_[54] * vU_[79] + vU_[52] * vU_[77];
+ vU_[72] = vU_[83] * vU_[54] + vU_[84] * vU_[52] - vU_[77] * vU_[72];
+ vU_[80] = vU_[50] * vU_[82] + vU_[69] * vU_[72];
+ vU_[76] = vU_[75] * vU_[52] + vU_[76] * vU_[51] - vU_[81] * vU_[61];
+ vU_[84] = vU_[83] * vU_[52] + vU_[84] * vU_[51] - vU_[77] * vU_[61];
+ vU_[83] = vU_[50] * vU_[76] + vU_[69] * vU_[84];
+ vU_[61] = vU_[80] * vU_[68] + vU_[83] * vU_[50];
+ vU_[83] = vU_[80] * vU_[50] + vU_[83] * vU_[69];
+ vU_[80] = 0.08 * vU_[49];
+ vU_[75] = 0.08 * vU_[69];
+ vU_[55] = vU_[80] * vU_[55] - vU_[75] * vU_[64];
+ vU_[53] = vU_[80] * vU_[64] - vU_[75] * vU_[53];
+ vU_[64] = vU_[55] * vU_[80] - vU_[53] * vU_[75];
+ vU_[59] = 0.026409 + -0.2209548 * vU_[57] + vU_[59] * vU_[57] - vU_[62];
+ vU_[79] = 0.000468 - -0.000881 * vU_[56] - vU_[63] * vU_[56] - vU_[62];
+ vU_[63] = -0.0004405 * vU_[57] + vU_[63] * vU_[57] - -0.1104774 * vU_[56];
+ vU_[57] = vU_[51] * vU_[79] + vU_[52] * vU_[63];
+ vU_[63] = vU_[51] * vU_[63] + vU_[52] * vU_[59];
+ vU_[78] = vU_[57] * vU_[51] + vU_[63] * vU_[52];
+ vU_[66] = 0.0825825 + vU_[66];
+ vU_[85] = 0 - 4.027 * vU_[80];
+ vU_[79] = 0.005495 + vU_[59] + vU_[79] + vU_[62] - vU_[78] - vU_[81] * vU_[81] / vU_[58] - 2. * vU_[66] * vU_[80] -
+ vU_[85] * vU_[80] - vU_[64];
+ vU_[59] = vU_[77] / vU_[58];
+ vU_[60] = -0.47422804 - vU_[60];
+ vU_[63] = -0.007418 + vU_[63] * vU_[54] + vU_[57] * vU_[52] - vU_[81] * vU_[59] + vU_[66] * vU_[75] +
+ vU_[85] * vU_[75] - vU_[60] * vU_[80];
+ vU_[57] = vU_[50] * vU_[79] + vU_[69] * vU_[63];
+ vU_[54] = 4.027 * vU_[75];
+ vU_[59] = 2. * vU_[60] * vU_[75] + 0.087136 + vU_[62] + vU_[78] - vU_[77] * vU_[59] + vU_[54] * vU_[75] - vU_[64];
+ vU_[63] = vU_[50] * vU_[63] + vU_[69] * vU_[59];
+ vU_[78] = vU_[57] * vU_[50] + vU_[63] * vU_[69];
+ vU_[62] = 0.011033 + vU_[64] + vU_[78];
+ vU_[86] = vU_[83] / vU_[62];
+ vU_[87] = vU_[71] * vU_[50] + vU_[74] * vU_[68] - vU_[61] * vU_[86];
+ vU_[88] = vU_[48] * vU_[87];
+ vU_[89] = sin(x_in[15]);
+ vU_[90] = 0.207 * vU_[89];
+ vU_[54] = vU_[54] + vU_[60];
+ vU_[60] = 0 - vU_[54];
+ vU_[85] = vU_[85] + vU_[66];
+ vU_[66] = vU_[68] * vU_[60] + vU_[50] * vU_[85];
+ vU_[91] = 0.1466472 + vU_[66];
+ vU_[92] = 0 - vU_[91] * vU_[86];
+ vU_[93] = vU_[90] * vU_[92];
+ vU_[94] = vU_[88] - vU_[93];
+ vU_[95] = cos(x_in[9]);
+ vU_[96] = 0.207 * vU_[95];
+ vU_[97] = sin(x_in[10]);
+ vU_[98] = 0 - vU_[97];
+ vU_[99] = sin(x_in[11]);
+ vU_[100] = cos(x_in[11]);
+ vU_[101] = 0.00185880198235362 * vU_[99] + -0.466187537174287 * vU_[100];
+ vU_[102] = 0 - vU_[99];
+ vU_[103] = -7.4114911576828e-06 * vU_[99] + 0.00185880198235362 * vU_[100];
+ vU_[104] = 0.35 * vU_[99];
+ vU_[105] = -0.35 * vU_[100];
+ vU_[106] = 0.00185880198235362 * vU_[104] - 0.414812462825713 * vU_[105];
+ vU_[107] = 0.881 * vU_[105];
+ vU_[108] = -0.1104774 + vU_[107];
+ vU_[109] = vU_[106] + vU_[108];
+ vU_[110] = 0.880992588508842 * vU_[104] - 0.00185880198235362 * vU_[105];
+ vU_[111] = 0 - 0.881 * vU_[104];
+ vU_[112] = 0.0004405 + vU_[111];
+ vU_[113] = vU_[110] + vU_[112];
+ vU_[108] = 0 - vU_[108];
+ vU_[114] = vU_[99] * vU_[108] + vU_[100] * vU_[112];
+ vU_[115] = 0.0825825 + vU_[109] * vU_[102] + vU_[113] * vU_[100] - vU_[114];
+ vU_[108] = vU_[100] * vU_[108] + vU_[102] * vU_[112];
+ vU_[113] = 0.47422804 + vU_[109] * vU_[100] + vU_[113] * vU_[99] + vU_[108];
+ vU_[110] = vU_[110] * vU_[104] - vU_[106] * vU_[105];
+ vU_[106] = 0.089871 + vU_[110];
+ vU_[109] = vU_[113] / vU_[106];
+ vU_[112] = vU_[101] * vU_[102] + vU_[103] * vU_[100] - vU_[115] * vU_[109];
+ vU_[116] = cos(x_in[10]);
+ vU_[117] = 0 - vU_[116];
+ vU_[103] = vU_[103] * vU_[99] + vU_[101] * vU_[100];
+ vU_[101] = 4.027 + vU_[103] - vU_[113] * vU_[109];
+ vU_[118] = vU_[101] - 4.027;
+ vU_[119] = vU_[98] * vU_[112] + vU_[117] * vU_[118];
+ vU_[120] = vU_[115] / vU_[106];
+ vU_[103] = 3.56080505133456 - vU_[103] - vU_[115] * vU_[120];
+ vU_[121] = vU_[103] - 4.027;
+ vU_[122] = vU_[98] * vU_[121] + vU_[117] * vU_[112];
+ vU_[123] = 8.81e-05 * vU_[100];
+ vU_[124] = -8.81e-05 * vU_[102];
+ vU_[125] = -8.81e-05 * vU_[104];
+ vU_[126] = 2. * vU_[125];
+ vU_[127] = 0 - 8.81e-05 * vU_[105];
+ vU_[128] = 2. * vU_[127];
+ vU_[125] = 0 - vU_[125];
+ vU_[129] = 0.000102 + vU_[126] * vU_[102] + vU_[128] * vU_[100] - vU_[100] * vU_[127] - vU_[99] * vU_[125];
+ vU_[130] = vU_[123] * vU_[102] + vU_[124] * vU_[100] - vU_[129] * vU_[120];
+ vU_[131] = 8.81e-05 * vU_[99];
+ vU_[132] = -8.81e-05 * vU_[100];
+ vU_[125] = 2.1e-05 + vU_[126] * vU_[100] + vU_[128] * vU_[99] + vU_[102] * vU_[127] + vU_[100] * vU_[125];
+ vU_[120] = vU_[131] * vU_[102] + vU_[132] * vU_[100] - vU_[125] * vU_[120];
+ vU_[128] = vU_[98] * vU_[130] + vU_[117] * vU_[120];
+ vU_[124] = vU_[123] * vU_[100] + vU_[124] * vU_[99] - vU_[129] * vU_[109];
+ vU_[132] = vU_[131] * vU_[100] + vU_[132] * vU_[99] - vU_[125] * vU_[109];
+ vU_[131] = vU_[98] * vU_[124] + vU_[117] * vU_[132];
+ vU_[109] = vU_[128] * vU_[116] + vU_[131] * vU_[98];
+ vU_[131] = vU_[128] * vU_[98] + vU_[131] * vU_[117];
+ vU_[128] = 0.08 * vU_[97];
+ vU_[123] = 0.08 * vU_[117];
+ vU_[103] = vU_[128] * vU_[103] - vU_[123] * vU_[112];
+ vU_[101] = vU_[128] * vU_[112] - vU_[123] * vU_[101];
+ vU_[112] = vU_[103] * vU_[128] - vU_[101] * vU_[123];
+ vU_[107] = 0.026409 + -0.2209548 * vU_[105] + vU_[107] * vU_[105] - vU_[110];
+ vU_[127] = 0.000468 - 0.000881 * vU_[104] - vU_[111] * vU_[104] - vU_[110];
+ vU_[111] = 0.0004405 * vU_[105] + vU_[111] * vU_[105] - -0.1104774 * vU_[104];
+ vU_[105] = vU_[99] * vU_[127] + vU_[100] * vU_[111];
+ vU_[111] = vU_[99] * vU_[111] + vU_[100] * vU_[107];
+ vU_[126] = vU_[105] * vU_[99] + vU_[111] * vU_[100];
+ vU_[114] = -0.0825825 + vU_[114];
+ vU_[133] = 0 - 4.027 * vU_[128];
+ vU_[127] = 0.005495 + vU_[107] + vU_[127] + vU_[110] - vU_[126] - vU_[129] * vU_[129] / vU_[106] -
+ 2. * vU_[114] * vU_[128] - vU_[133] * vU_[128] - vU_[112];
+ vU_[107] = vU_[125] / vU_[106];
+ vU_[108] = -0.47422804 - vU_[108];
+ vU_[111] = 0.007418 + vU_[111] * vU_[102] + vU_[105] * vU_[100] - vU_[129] * vU_[107] + vU_[114] * vU_[123] +
+ vU_[133] * vU_[123] - vU_[108] * vU_[128];
+ vU_[105] = vU_[98] * vU_[127] + vU_[117] * vU_[111];
+ vU_[102] = 4.027 * vU_[123];
+ vU_[107] = 2. * vU_[108] * vU_[123] + 0.087136 + vU_[110] + vU_[126] - vU_[125] * vU_[107] + vU_[102] * vU_[123] -
+ vU_[112];
+ vU_[111] = vU_[98] * vU_[111] + vU_[117] * vU_[107];
+ vU_[126] = vU_[105] * vU_[98] + vU_[111] * vU_[117];
+ vU_[110] = 0.011033 + vU_[112] + vU_[126];
+ vU_[134] = vU_[131] / vU_[110];
+ vU_[135] = vU_[119] * vU_[98] + vU_[122] * vU_[116] - vU_[109] * vU_[134];
+ vU_[136] = vU_[96] * vU_[135];
+ vU_[137] = sin(x_in[9]);
+ vU_[138] = 0.207 * vU_[137];
+ vU_[102] = vU_[102] + vU_[108];
+ vU_[108] = 0 - vU_[102];
+ vU_[133] = vU_[133] + vU_[114];
+ vU_[114] = vU_[116] * vU_[108] + vU_[98] * vU_[133];
+ vU_[139] = 0.1466472 + vU_[114];
+ vU_[140] = 0 - vU_[139] * vU_[134];
+ vU_[141] = vU_[138] * vU_[140];
+ vU_[142] = vU_[136] - vU_[141];
+ vU_[143] = cos(x_in[6]);
+ vU_[144] = -0.207 * vU_[143];
+ vU_[145] = -1 * vU_[144];
+ vU_[146] = sin(x_in[7]);
+ vU_[147] = sin(x_in[8]);
+ vU_[148] = cos(x_in[8]);
+ vU_[149] = 0.00185880198235362 * vU_[147] + -0.466187537174287 * vU_[148];
+ vU_[150] = 0 - vU_[147];
+ vU_[151] = -7.4114911576828e-06 * vU_[147] + 0.00185880198235362 * vU_[148];
+ vU_[152] = 0.35 * vU_[147];
+ vU_[153] = -0.35 * vU_[148];
+ vU_[154] = 0.00185880198235362 * vU_[152] - 0.414812462825713 * vU_[153];
+ vU_[155] = 0.881 * vU_[153];
+ vU_[156] = -0.1104774 + vU_[155];
+ vU_[157] = vU_[154] + vU_[156];
+ vU_[158] = 0.880992588508842 * vU_[152] - 0.00185880198235362 * vU_[153];
+ vU_[159] = 0 - 0.881 * vU_[152];
+ vU_[160] = 0.0004405 + vU_[159];
+ vU_[161] = vU_[158] + vU_[160];
+ vU_[156] = 0 - vU_[156];
+ vU_[162] = vU_[147] * vU_[156] + vU_[148] * vU_[160];
+ vU_[163] = 0.0825825 + vU_[157] * vU_[150] + vU_[161] * vU_[148] - vU_[162];
+ vU_[156] = vU_[148] * vU_[156] + vU_[150] * vU_[160];
+ vU_[161] = 0.47422804 + vU_[157] * vU_[148] + vU_[161] * vU_[147] + vU_[156];
+ vU_[158] = vU_[158] * vU_[152] - vU_[154] * vU_[153];
+ vU_[154] = 0.089871 + vU_[158];
+ vU_[157] = vU_[161] / vU_[154];
+ vU_[160] = vU_[149] * vU_[150] + vU_[151] * vU_[148] - vU_[163] * vU_[157];
+ vU_[164] = cos(x_in[7]);
+ vU_[151] = vU_[151] * vU_[147] + vU_[149] * vU_[148];
+ vU_[149] = 4.027 + vU_[151] - vU_[161] * vU_[157];
+ vU_[165] = vU_[149] - 4.027;
+ vU_[166] = vU_[146] * vU_[160] + vU_[164] * vU_[165];
+ vU_[167] = 0 - vU_[146];
+ vU_[168] = vU_[163] / vU_[154];
+ vU_[151] = 3.56080505133456 - vU_[151] - vU_[163] * vU_[168];
+ vU_[169] = vU_[151] - 4.027;
+ vU_[170] = vU_[146] * vU_[169] + vU_[164] * vU_[160];
+ vU_[171] = 8.81e-05 * vU_[148];
+ vU_[172] = -8.81e-05 * vU_[150];
+ vU_[173] = -8.81e-05 * vU_[152];
+ vU_[174] = 2. * vU_[173];
+ vU_[175] = 0 - 8.81e-05 * vU_[153];
+ vU_[176] = 2. * vU_[175];
+ vU_[173] = 0 - vU_[173];
+ vU_[177] = 0.000102 + vU_[174] * vU_[150] + vU_[176] * vU_[148] - vU_[148] * vU_[175] - vU_[147] * vU_[173];
+ vU_[178] = vU_[171] * vU_[150] + vU_[172] * vU_[148] - vU_[177] * vU_[168];
+ vU_[179] = 8.81e-05 * vU_[147];
+ vU_[180] = -8.81e-05 * vU_[148];
+ vU_[173] = 2.1e-05 + vU_[174] * vU_[148] + vU_[176] * vU_[147] + vU_[150] * vU_[175] + vU_[148] * vU_[173];
+ vU_[168] = vU_[179] * vU_[150] + vU_[180] * vU_[148] - vU_[173] * vU_[168];
+ vU_[176] = vU_[146] * vU_[178] + vU_[164] * vU_[168];
+ vU_[172] = vU_[171] * vU_[148] + vU_[172] * vU_[147] - vU_[177] * vU_[157];
+ vU_[180] = vU_[179] * vU_[148] + vU_[180] * vU_[147] - vU_[173] * vU_[157];
+ vU_[179] = vU_[146] * vU_[172] + vU_[164] * vU_[180];
+ vU_[157] = vU_[176] * vU_[164] + vU_[179] * vU_[167];
+ vU_[179] = vU_[176] * vU_[146] + vU_[179] * vU_[164];
+ vU_[176] = -0.08 * vU_[146];
+ vU_[171] = -1 * vU_[176];
+ vU_[175] = -0.08 * vU_[164];
+ vU_[151] = vU_[171] * vU_[151] - vU_[175] * vU_[160];
+ vU_[149] = vU_[171] * vU_[160] - vU_[175] * vU_[149];
+ vU_[160] = vU_[151] * vU_[171] - vU_[149] * vU_[175];
+ vU_[155] = 0.026409 + -0.2209548 * vU_[153] + vU_[155] * vU_[153] - vU_[158];
+ vU_[174] = 0.000468 - 0.000881 * vU_[152] - vU_[159] * vU_[152] - vU_[158];
+ vU_[159] = 0.0004405 * vU_[153] + vU_[159] * vU_[153] - -0.1104774 * vU_[152];
+ vU_[153] = vU_[147] * vU_[174] + vU_[148] * vU_[159];
+ vU_[159] = vU_[147] * vU_[159] + vU_[148] * vU_[155];
+ vU_[181] = vU_[153] * vU_[147] + vU_[159] * vU_[148];
+ vU_[162] = -0.0825825 + vU_[162];
+ vU_[182] = 0 - 4.027 * vU_[171];
+ vU_[174] = 0.005495 + vU_[155] + vU_[174] + vU_[158] - vU_[181] - vU_[177] * vU_[177] / vU_[154] -
+ 2. * vU_[162] * vU_[171] - vU_[182] * vU_[171] - vU_[160];
+ vU_[155] = vU_[173] / vU_[154];
+ vU_[156] = -0.47422804 - vU_[156];
+ vU_[159] = 0.007418 + vU_[159] * vU_[150] + vU_[153] * vU_[148] - vU_[177] * vU_[155] + vU_[162] * vU_[175] +
+ vU_[182] * vU_[175] - vU_[156] * vU_[171];
+ vU_[153] = vU_[146] * vU_[174] + vU_[164] * vU_[159];
+ vU_[150] = 4.027 * vU_[175];
+ vU_[155] = 2. * vU_[156] * vU_[175] + 0.087136 + vU_[158] + vU_[181] - vU_[173] * vU_[155] + vU_[150] * vU_[175] -
+ vU_[160];
+ vU_[159] = vU_[146] * vU_[159] + vU_[164] * vU_[155];
+ vU_[181] = vU_[153] * vU_[146] + vU_[159] * vU_[164];
+ vU_[158] = 0.011033 + vU_[160] + vU_[181];
+ vU_[183] = vU_[179] / vU_[158];
+ vU_[184] = vU_[166] * vU_[167] + vU_[170] * vU_[164] - vU_[157] * vU_[183];
+ vU_[185] = vU_[145] * vU_[184];
+ vU_[186] = sin(x_in[6]);
+ vU_[187] = 0.207 * vU_[186];
+ vU_[150] = vU_[150] + vU_[156];
+ vU_[156] = 0 - vU_[150];
+ vU_[182] = vU_[182] + vU_[162];
+ vU_[162] = vU_[164] * vU_[156] + vU_[167] * vU_[182];
+ vU_[188] = 0.1466472 + vU_[162];
+ vU_[189] = 0 - vU_[188] * vU_[183];
+ vU_[190] = vU_[187] * vU_[189];
+ vU_[191] = vU_[185] - vU_[190];
+ vU_[54] = vU_[53] + vU_[54];
+ vU_[55] = vU_[55] + vU_[85];
+ vU_[53] = vU_[82] * vU_[80] - vU_[76] * vU_[75];
+ vU_[75] = vU_[72] * vU_[80] - vU_[84] * vU_[75];
+ vU_[192] = 0 - vU_[75];
+ vU_[193] = -5.1e-05 + vU_[50] * vU_[53] + vU_[68] * vU_[192];
+ vU_[66] = -0.1466472 + vU_[54] * vU_[69] + vU_[55] * vU_[50] - vU_[66] - vU_[193] * vU_[86];
+ vU_[194] = vU_[193] / vU_[62];
+ vU_[74] = vU_[74] * vU_[50] + vU_[71] * vU_[69];
+ vU_[71] = 7.467 + vU_[74] - vU_[83] * vU_[86];
+ vU_[195] = 0.3735 * vU_[89];
+ vU_[196] = 0 - vU_[47];
+ vU_[197] = -0.3735 * vU_[47];
+ vU_[198] = vU_[89] * vU_[195] + vU_[196] * vU_[197];
+ vU_[199] = vU_[90] * vU_[71] - vU_[198] * vU_[87];
+ vU_[85] = vU_[50] * vU_[60] + vU_[69] * vU_[85];
+ vU_[60] = vU_[61] / vU_[62];
+ vU_[55] = 0.5824264 + vU_[54] * vU_[50] + vU_[55] * vU_[68] + vU_[85] - vU_[193] * vU_[60];
+ vU_[74] = 7.467 + vU_[70] + vU_[73] - vU_[74] - vU_[61] * vU_[60];
+ vU_[73] = vU_[90] * vU_[87] - vU_[198] * vU_[74];
+ vU_[70] = vU_[91] / vU_[62];
+ vU_[54] = 0 - vU_[61] * vU_[70];
+ vU_[200] = vU_[48] * vU_[74] - vU_[90] * vU_[54];
+ vU_[201] = 7.467 - vU_[91] * vU_[70];
+ vU_[202] = vU_[48] * vU_[54] - vU_[90] * vU_[201];
+ vU_[203] = vU_[200] * vU_[48] - vU_[202] * vU_[90];
+ vU_[204] = 2. * vU_[66] * vU_[90] + 0.144171 + vU_[64] - vU_[193] * vU_[194] + vU_[199] * vU_[90] -
+ 2. * vU_[55] * vU_[198] - vU_[73] * vU_[198] - vU_[203];
+ vU_[63] = -0.022734 + vU_[63] * vU_[50] + vU_[57] * vU_[68];
+ vU_[85] = -0.5824264 - vU_[85] - vU_[63] * vU_[70];
+ vU_[57] = vU_[198] * vU_[201] - vU_[48] * vU_[92];
+ vU_[84] = vU_[68] * vU_[76] + vU_[50] * vU_[84];
+ vU_[72] = vU_[68] * vU_[82] + vU_[50] * vU_[72];
+ vU_[86] = vU_[84] * vU_[69] + vU_[72] * vU_[50] - vU_[63] * vU_[86];
+ vU_[82] = vU_[198] * vU_[92] - vU_[48] * vU_[71];
+ vU_[78] = 2. * vU_[85] * vU_[198] + 0.134705 + vU_[59] + vU_[79] + vU_[64] - vU_[78] - vU_[63] * vU_[63] / vU_[62] +
+ vU_[57] * vU_[198] - 2. * vU_[86] * vU_[48] - vU_[82] * vU_[48] - vU_[203];
+ vU_[7] = -1 * (vU_[6] + vU_[7]);
+ vU_[8] = -1 * (vU_[8] + vU_[37]);
+ vU_[6] = vU_[28] * vU_[33] - vU_[30] * vU_[34];
+ vU_[34] = vU_[25] * vU_[33] - vU_[14] * vU_[34];
+ vU_[33] = 0 - vU_[34];
+ vU_[59] = -5.1e-05 + vU_[24] * vU_[6] + vU_[21] * vU_[33];
+ vU_[19] = -0.1466472 + vU_[7] * vU_[21] + vU_[8] * vU_[3] - vU_[19] - vU_[59] * vU_[38];
+ vU_[79] = vU_[59] / vU_[15];
+ vU_[27] = vU_[27] * vU_[3] + vU_[23] * vU_[21];
+ vU_[23] = 7.467 + vU_[27] - vU_[31] * vU_[38];
+ vU_[64] = 0 - vU_[41];
+ vU_[76] = 0.3735 * vU_[41];
+ vU_[205] = 0 - vU_[0];
+ vU_[206] = 0.3735 * vU_[0];
+ vU_[207] = vU_[64] * vU_[76] + vU_[205] * vU_[206];
+ vU_[208] = vU_[42] * vU_[23] - vU_[207] * vU_[39];
+ vU_[37] = vU_[3] * vU_[13] + vU_[21] * vU_[37];
+ vU_[13] = vU_[32] / vU_[15];
+ vU_[8] = -0.5824264 + vU_[7] * vU_[24] + vU_[8] * vU_[21] + vU_[37] - vU_[59] * vU_[13];
+ vU_[27] = 7.467 + vU_[22] + vU_[26] - vU_[27] - vU_[32] * vU_[13];
+ vU_[26] = vU_[42] * vU_[39] - vU_[207] * vU_[27];
+ vU_[22] = vU_[43] / vU_[15];
+ vU_[7] = 0 - vU_[32] * vU_[22];
+ vU_[209] = vU_[2] * vU_[27] - vU_[42] * vU_[7];
+ vU_[210] = 7.467 - vU_[43] * vU_[22];
+ vU_[211] = vU_[2] * vU_[7] - vU_[42] * vU_[210];
+ vU_[212] = vU_[209] * vU_[2] - vU_[211] * vU_[42];
+ vU_[213] = 2. * vU_[19] * vU_[42] + 0.144171 + vU_[17] - vU_[59] * vU_[79] + vU_[208] * vU_[42] -
+ 2. * vU_[8] * vU_[207] - vU_[26] * vU_[207] - vU_[212];
+ vU_[16] = 0.022734 + vU_[16] * vU_[24] + vU_[10] * vU_[21];
+ vU_[37] = 0.5824264 - vU_[37] - vU_[16] * vU_[22];
+ vU_[10] = vU_[207] * vU_[210] - vU_[2] * vU_[44];
+ vU_[14] = vU_[21] * vU_[30] + vU_[24] * vU_[14];
+ vU_[25] = vU_[21] * vU_[28] + vU_[24] * vU_[25];
+ vU_[38] = vU_[14] * vU_[21] + vU_[25] * vU_[3] - vU_[16] * vU_[38];
+ vU_[28] = vU_[207] * vU_[44] - vU_[2] * vU_[23];
+ vU_[36] = 2. * vU_[37] * vU_[207] + 0.134705 + vU_[12] + vU_[35] + vU_[17] - vU_[36] - vU_[16] * vU_[16] / vU_[15] +
+ vU_[10] * vU_[207] - 2. * vU_[38] * vU_[2] - vU_[28] * vU_[2] - vU_[212];
+ vU_[102] = vU_[101] + vU_[102];
+ vU_[103] = vU_[103] + vU_[133];
+ vU_[101] = vU_[130] * vU_[128] - vU_[124] * vU_[123];
+ vU_[123] = vU_[120] * vU_[128] - vU_[132] * vU_[123];
+ vU_[12] = 0 - vU_[123];
+ vU_[35] = -5.1e-05 + vU_[98] * vU_[101] + vU_[116] * vU_[12];
+ vU_[114] = -0.1466472 + vU_[102] * vU_[117] + vU_[103] * vU_[98] - vU_[114] - vU_[35] * vU_[134];
+ vU_[17] = vU_[35] / vU_[110];
+ vU_[122] = vU_[122] * vU_[98] + vU_[119] * vU_[117];
+ vU_[119] = 7.467 + vU_[122] - vU_[131] * vU_[134];
+ vU_[30] = -0.3735 * vU_[137];
+ vU_[214] = 0 - vU_[95];
+ vU_[215] = 0.3735 * vU_[95];
+ vU_[216] = vU_[137] * vU_[30] + vU_[214] * vU_[215];
+ vU_[217] = vU_[138] * vU_[119] - vU_[216] * vU_[135];
+ vU_[133] = vU_[98] * vU_[108] + vU_[117] * vU_[133];
+ vU_[108] = vU_[109] / vU_[110];
+ vU_[103] = -0.5824264 + vU_[102] * vU_[98] + vU_[103] * vU_[116] + vU_[133] - vU_[35] * vU_[108];
+ vU_[122] = 7.467 + vU_[118] + vU_[121] - vU_[122] - vU_[109] * vU_[108];
+ vU_[121] = vU_[138] * vU_[135] - vU_[216] * vU_[122];
+ vU_[118] = vU_[139] / vU_[110];
+ vU_[102] = 0 - vU_[109] * vU_[118];
+ vU_[218] = vU_[96] * vU_[122] - vU_[138] * vU_[102];
+ vU_[219] = 7.467 - vU_[139] * vU_[118];
+ vU_[220] = vU_[96] * vU_[102] - vU_[138] * vU_[219];
+ vU_[221] = vU_[218] * vU_[96] - vU_[220] * vU_[138];
+ vU_[222] = 2. * vU_[114] * vU_[138] + 0.144171 + vU_[112] - vU_[35] * vU_[17] + vU_[217] * vU_[138] -
+ 2. * vU_[103] * vU_[216] - vU_[121] * vU_[216] - vU_[221];
+ vU_[111] = 0.022734 + vU_[111] * vU_[98] + vU_[105] * vU_[116];
+ vU_[133] = 0.5824264 - vU_[133] - vU_[111] * vU_[118];
+ vU_[105] = vU_[216] * vU_[219] - vU_[96] * vU_[140];
+ vU_[132] = vU_[116] * vU_[124] + vU_[98] * vU_[132];
+ vU_[120] = vU_[116] * vU_[130] + vU_[98] * vU_[120];
+ vU_[134] = vU_[132] * vU_[117] + vU_[120] * vU_[98] - vU_[111] * vU_[134];
+ vU_[130] = vU_[216] * vU_[140] - vU_[96] * vU_[119];
+ vU_[126] = 2. * vU_[133] * vU_[216] + 0.134705 + vU_[107] + vU_[127] + vU_[112] - vU_[126] -
+ vU_[111] * vU_[111] / vU_[110] + vU_[105] * vU_[216] - 2. * vU_[134] * vU_[96] - vU_[130] * vU_[96] -
+ vU_[221];
+ vU_[150] = -1 * (vU_[149] + vU_[150]);
+ vU_[151] = -1 * (vU_[151] + vU_[182]);
+ vU_[149] = vU_[178] * vU_[171] - vU_[172] * vU_[175];
+ vU_[175] = vU_[168] * vU_[171] - vU_[180] * vU_[175];
+ vU_[171] = 0 - vU_[175];
+ vU_[107] = -5.1e-05 + vU_[167] * vU_[149] + vU_[164] * vU_[171];
+ vU_[162] = -0.1466472 + vU_[150] * vU_[164] + vU_[151] * vU_[146] - vU_[162] - vU_[107] * vU_[183];
+ vU_[127] = vU_[107] / vU_[158];
+ vU_[170] = vU_[170] * vU_[146] + vU_[166] * vU_[164];
+ vU_[166] = 7.467 + vU_[170] - vU_[179] * vU_[183];
+ vU_[112] = 0 - vU_[186];
+ vU_[124] = -0.3735 * vU_[186];
+ vU_[223] = 0 - vU_[143];
+ vU_[224] = -0.3735 * vU_[143];
+ vU_[225] = vU_[112] * vU_[124] + vU_[223] * vU_[224];
+ vU_[226] = vU_[187] * vU_[166] - vU_[225] * vU_[184];
+ vU_[182] = vU_[146] * vU_[156] + vU_[164] * vU_[182];
+ vU_[156] = vU_[157] / vU_[158];
+ vU_[151] = 0.5824264 + vU_[150] * vU_[167] + vU_[151] * vU_[164] + vU_[182] - vU_[107] * vU_[156];
+ vU_[170] = 7.467 + vU_[165] + vU_[169] - vU_[170] - vU_[157] * vU_[156];
+ vU_[169] = vU_[187] * vU_[184] - vU_[225] * vU_[170];
+ vU_[165] = vU_[188] / vU_[158];
+ vU_[150] = 0 - vU_[157] * vU_[165];
+ vU_[227] = vU_[145] * vU_[170] - vU_[187] * vU_[150];
+ vU_[228] = 7.467 - vU_[188] * vU_[165];
+ vU_[229] = vU_[145] * vU_[150] - vU_[187] * vU_[228];
+ vU_[230] = vU_[227] * vU_[145] - vU_[229] * vU_[187];
+ vU_[231] = 2. * vU_[162] * vU_[187] + 0.144171 + vU_[160] - vU_[107] * vU_[127] + vU_[226] * vU_[187] -
+ 2. * vU_[151] * vU_[225] - vU_[169] * vU_[225] - vU_[230];
+ vU_[159] = -0.022734 + vU_[159] * vU_[167] + vU_[153] * vU_[164];
+ vU_[182] = -0.5824264 - vU_[182] - vU_[159] * vU_[165];
+ vU_[153] = vU_[225] * vU_[228] - vU_[145] * vU_[189];
+ vU_[180] = vU_[164] * vU_[172] + vU_[167] * vU_[180];
+ vU_[168] = vU_[164] * vU_[178] + vU_[167] * vU_[168];
+ vU_[183] = vU_[180] * vU_[164] + vU_[168] * vU_[146] - vU_[159] * vU_[183];
+ vU_[178] = vU_[225] * vU_[189] - vU_[145] * vU_[166];
+ vU_[181] = 2. * vU_[182] * vU_[225] + 0.134705 + vU_[155] + vU_[174] + vU_[160] - vU_[181] -
+ vU_[159] * vU_[159] / vU_[158] + vU_[153] * vU_[225] - 2. * vU_[183] * vU_[145] - vU_[178] * vU_[145] -
+ vU_[230];
+ vU_[70] = 0 - vU_[193] * vU_[70];
+ vU_[72] = vU_[84] * vU_[50] + vU_[72] * vU_[68] - vU_[63] * vU_[60];
+ vU_[84] = vU_[198] * vU_[54];
+ vU_[88] = vU_[84] - vU_[88];
+ vU_[198] = vU_[70] * vU_[198] + -3.6e-05 + 2. * vU_[75] * vU_[50] + 2. * vU_[53] * vU_[68] + vU_[69] * vU_[53] +
+ vU_[50] * vU_[192] - vU_[63] * vU_[194] + vU_[86] * vU_[90] + vU_[82] * vU_[90] - vU_[72] * vU_[198] -
+ vU_[66] * vU_[48] - vU_[88] * vU_[198];
+ vU_[194] = vU_[89] * vU_[198];
+ vU_[192] = (vU_[89] * vU_[78] + vU_[47] * vU_[198]) * vU_[89] + (vU_[194] + vU_[47] * vU_[204]) * vU_[47];
+ vU_[194] = vU_[196] * vU_[78] + vU_[194];
+ vU_[198] = vU_[196] * vU_[198] + vU_[89] * vU_[204];
+ vU_[75] = vU_[194] * vU_[196] + vU_[198] * vU_[89];
+ vU_[22] = 0 - vU_[59] * vU_[22];
+ vU_[25] = vU_[14] * vU_[24] + vU_[25] * vU_[21] - vU_[16] * vU_[13];
+ vU_[14] = vU_[207] * vU_[7];
+ vU_[40] = vU_[14] - vU_[40];
+ vU_[207] = vU_[22] * vU_[207] + 3.6e-05 + -1 * 2. * vU_[34] * vU_[24] + -1 * 2. * vU_[6] * vU_[21] +
+ vU_[21] * vU_[6] + vU_[3] * vU_[33] - vU_[16] * vU_[79] + vU_[38] * vU_[42] + vU_[28] * vU_[42] -
+ vU_[25] * vU_[207] - vU_[19] * vU_[2] - vU_[40] * vU_[207];
+ vU_[79] = vU_[205] * vU_[207];
+ vU_[33] = (vU_[64] * vU_[36] + vU_[79]) * vU_[64] + (vU_[64] * vU_[207] + vU_[205] * vU_[213]) * vU_[205];
+ vU_[207] = vU_[205] * vU_[36] + vU_[41] * vU_[207];
+ vU_[79] = vU_[79] + vU_[41] * vU_[213];
+ vU_[34] = vU_[207] * vU_[205] + vU_[79] * vU_[41];
+ vU_[118] = 0 - vU_[35] * vU_[118];
+ vU_[120] = vU_[132] * vU_[98] + vU_[120] * vU_[116] - vU_[111] * vU_[108];
+ vU_[132] = vU_[216] * vU_[102];
+ vU_[136] = vU_[132] - vU_[136];
+ vU_[216] = vU_[118] * vU_[216] + 3.6e-05 + 2. * vU_[123] * vU_[98] + 2. * vU_[101] * vU_[116] +
+ vU_[117] * vU_[101] + vU_[98] * vU_[12] - vU_[111] * vU_[17] + vU_[134] * vU_[138] +
+ vU_[130] * vU_[138] - vU_[120] * vU_[216] - vU_[114] * vU_[96] - vU_[136] * vU_[216];
+ vU_[17] = vU_[137] * vU_[216];
+ vU_[12] = (vU_[137] * vU_[126] + vU_[95] * vU_[216]) * vU_[137] + (vU_[17] + vU_[95] * vU_[222]) * vU_[95];
+ vU_[17] = vU_[214] * vU_[126] + vU_[17];
+ vU_[216] = vU_[214] * vU_[216] + vU_[137] * vU_[222];
+ vU_[123] = vU_[17] * vU_[214] + vU_[216] * vU_[137];
+ vU_[165] = 0 - vU_[107] * vU_[165];
+ vU_[168] = vU_[180] * vU_[167] + vU_[168] * vU_[164] - vU_[159] * vU_[156];
+ vU_[180] = vU_[225] * vU_[150];
+ vU_[185] = vU_[180] - vU_[185];
+ vU_[225] = vU_[165] * vU_[225] + -3.6e-05 + -1 * 2. * vU_[175] * vU_[167] + -1 * 2. * vU_[149] * vU_[164] +
+ vU_[164] * vU_[149] + vU_[146] * vU_[171] - vU_[159] * vU_[127] + vU_[183] * vU_[187] +
+ vU_[178] * vU_[187] - vU_[168] * vU_[225] - vU_[162] * vU_[145] - vU_[185] * vU_[225];
+ vU_[127] = vU_[223] * vU_[225];
+ vU_[171] = (vU_[112] * vU_[181] + vU_[127]) * vU_[112] + (vU_[112] * vU_[225] + vU_[223] * vU_[231]) * vU_[223];
+ vU_[225] = vU_[223] * vU_[181] + vU_[186] * vU_[225];
+ vU_[127] = vU_[127] + vU_[186] * vU_[231];
+ vU_[175] = vU_[225] * vU_[223] + vU_[127] * vU_[186];
+ vU_[181] = 1.209488 + vU_[204] + vU_[78] + vU_[203] + vU_[213] + vU_[36] + vU_[212] + vU_[222] + vU_[126] +
+ vU_[221] + vU_[231] + vU_[181] + vU_[230] - vU_[192] - vU_[75] - vU_[33] - vU_[34] - vU_[12] - vU_[123] -
+ vU_[171] - vU_[175];
+ vU_[231] = (vU_[46] + vU_[94] + vU_[142] + vU_[191]) / vU_[181];
+ vU_[84] = vU_[93] - vU_[84];
+ vU_[93] = vU_[70] * vU_[90] + vU_[84] * vU_[90] - vU_[55] * vU_[48] - vU_[73] * vU_[48];
+ vU_[90] = vU_[72] * vU_[48] + vU_[88] * vU_[48] - vU_[85] * vU_[90] - vU_[57] * vU_[90];
+ vU_[126] = vU_[196] * vU_[93] + vU_[89] * vU_[90];
+ vU_[14] = vU_[45] - vU_[14];
+ vU_[45] = vU_[22] * vU_[42] + vU_[14] * vU_[42] - vU_[8] * vU_[2] - vU_[26] * vU_[2];
+ vU_[42] = vU_[25] * vU_[2] + vU_[40] * vU_[2] - vU_[37] * vU_[42] - vU_[10] * vU_[42];
+ vU_[2] = vU_[205] * vU_[45] + vU_[41] * vU_[42];
+ vU_[132] = vU_[141] - vU_[132];
+ vU_[141] = vU_[118] * vU_[138] + vU_[132] * vU_[138] - vU_[103] * vU_[96] - vU_[121] * vU_[96];
+ vU_[138] = vU_[120] * vU_[96] + vU_[136] * vU_[96] - vU_[133] * vU_[138] - vU_[105] * vU_[138];
+ vU_[222] = vU_[214] * vU_[141] + vU_[137] * vU_[138];
+ vU_[180] = vU_[190] - vU_[180];
+ vU_[190] = vU_[165] * vU_[187] + vU_[180] * vU_[187] - vU_[151] * vU_[145] - vU_[169] * vU_[145];
+ vU_[187] = vU_[168] * vU_[145] + vU_[185] * vU_[145] - vU_[182] * vU_[187] - vU_[153] * vU_[187];
+ vU_[145] = vU_[223] * vU_[190] + vU_[186] * vU_[187];
+ vU_[36] = (-0.00571 + vU_[126] + vU_[2] + vU_[222] + vU_[145]) / vU_[181];
+ vU_[199] = vU_[199] + vU_[66];
+ vU_[66] = 0 - vU_[199];
+ vU_[82] = vU_[82] + vU_[86];
+ vU_[86] = vU_[196] * vU_[66] + vU_[89] * vU_[82];
+ vU_[208] = vU_[208] + vU_[19];
+ vU_[19] = 0 - vU_[208];
+ vU_[28] = vU_[28] + vU_[38];
+ vU_[38] = vU_[205] * vU_[19] + vU_[41] * vU_[28];
+ vU_[217] = vU_[217] + vU_[114];
+ vU_[114] = 0 - vU_[217];
+ vU_[130] = vU_[130] + vU_[134];
+ vU_[134] = vU_[214] * vU_[114] + vU_[137] * vU_[130];
+ vU_[226] = vU_[226] + vU_[162];
+ vU_[162] = 0 - vU_[226];
+ vU_[178] = vU_[178] + vU_[183];
+ vU_[183] = vU_[223] * vU_[162] + vU_[186] * vU_[178];
+ vU_[145] = -0.00571 + vU_[126] + vU_[2] + vU_[222] + vU_[145];
+ vU_[171] = 5.5837 + vU_[203] + vU_[192] + vU_[212] + vU_[33] + vU_[221] + vU_[12] + vU_[230] + vU_[171] -
+ vU_[145] * vU_[36];
+ vU_[12] = (2.0678571 + vU_[86] + vU_[38] + vU_[134] + vU_[183] - vU_[145] * vU_[231]) / vU_[171];
+ vU_[90] = 0 - vU_[47] * vU_[90] - vU_[89] * vU_[93];
+ vU_[42] = 0 - vU_[205] * vU_[42] - vU_[64] * vU_[45];
+ vU_[138] = 0 - vU_[95] * vU_[138] - vU_[137] * vU_[141];
+ vU_[187] = 0 - vU_[223] * vU_[187] - vU_[112] * vU_[190];
+ vU_[190] = (0.190812 + vU_[90] + vU_[42] + vU_[138] + vU_[187]) / vU_[181];
+ vU_[198] = vU_[194] * vU_[89] + vU_[198] * vU_[47];
+ vU_[79] = vU_[207] * vU_[64] + vU_[79] * vU_[205];
+ vU_[216] = vU_[17] * vU_[137] + vU_[216] * vU_[95];
+ vU_[127] = vU_[225] * vU_[112] + vU_[127] * vU_[223];
+ vU_[225] = (0.012668 + vU_[198] + vU_[79] + vU_[216] + vU_[127] - vU_[145] * vU_[190]) / vU_[171];
+ vU_[17] = vU_[190] + (0 - vU_[36]) * vU_[225];
+ vU_[66] = vU_[89] * vU_[66] + vU_[47] * vU_[82];
+ vU_[207] = -0 - vU_[66];
+ vU_[19] = vU_[64] * vU_[19] + vU_[205] * vU_[28];
+ vU_[194] = 0 - vU_[19];
+ vU_[114] = vU_[137] * vU_[114] + vU_[95] * vU_[130];
+ vU_[141] = -0 - vU_[114];
+ vU_[162] = vU_[112] * vU_[162] + vU_[223] * vU_[178];
+ vU_[45] = -0 - vU_[162];
+ vU_[187] = 0.190812 + vU_[90] + vU_[42] + vU_[138] + vU_[187];
+ vU_[127] = 0.012668 + vU_[198] + vU_[79] + vU_[216] + vU_[127] - vU_[187] * vU_[36];
+ vU_[175] = 6.056973 + vU_[203] + vU_[75] + vU_[212] + vU_[34] + vU_[221] + vU_[123] + vU_[230] + vU_[175] -
+ vU_[127] * vU_[225] - vU_[187] * vU_[190];
+ vU_[123] =
+ (0.0053433 + vU_[207] + vU_[194] + vU_[141] + vU_[45] - vU_[127] * vU_[12] - vU_[187] * vU_[231]) / vU_[175];
+ vU_[34] = vU_[231] + (0 - vU_[36]) * vU_[12] + (0 - vU_[17]) * vU_[123];
+ vU_[199] = vU_[202] + vU_[199];
+ vU_[82] = vU_[200] + vU_[82];
+ vU_[66] = vU_[199] * vU_[89] + vU_[82] * vU_[196] + vU_[66];
+ vU_[208] = -1 * (vU_[211] + vU_[208]);
+ vU_[28] = -1 * (vU_[209] + vU_[28]);
+ vU_[19] = vU_[208] * vU_[41] + vU_[28] * vU_[205] + vU_[19];
+ vU_[217] = vU_[220] + vU_[217];
+ vU_[130] = vU_[218] + vU_[130];
+ vU_[114] = vU_[217] * vU_[137] + vU_[130] * vU_[214] + vU_[114];
+ vU_[226] = -1 * (vU_[229] + vU_[226]);
+ vU_[178] = -1 * (vU_[227] + vU_[178]);
+ vU_[162] = vU_[226] * vU_[186] + vU_[178] * vU_[223] + vU_[162];
+ vU_[227] = (-0.0053433 + vU_[66] + vU_[19] + vU_[114] + vU_[162]) / vU_[181];
+ vU_[88] = vU_[72] + vU_[88] - vU_[94];
+ vU_[73] = vU_[73] + vU_[55];
+ vU_[55] = vU_[89] * vU_[88] + vU_[47] * vU_[73];
+ vU_[57] = vU_[57] + vU_[85];
+ vU_[84] = vU_[70] + vU_[84] - vU_[94];
+ vU_[70] = vU_[89] * vU_[57] + vU_[47] * vU_[84];
+ vU_[85] = vU_[55] * vU_[196] + vU_[70] * vU_[89];
+ vU_[40] = vU_[25] + vU_[40] - vU_[46];
+ vU_[26] = vU_[26] + vU_[8];
+ vU_[8] = vU_[64] * vU_[40] + vU_[205] * vU_[26];
+ vU_[10] = vU_[10] + vU_[37];
+ vU_[14] = vU_[22] + vU_[14] - vU_[46];
+ vU_[22] = vU_[64] * vU_[10] + vU_[205] * vU_[14];
+ vU_[37] = vU_[8] * vU_[205] + vU_[22] * vU_[41];
+ vU_[136] = vU_[120] + vU_[136] - vU_[142];
+ vU_[121] = vU_[121] + vU_[103];
+ vU_[103] = vU_[137] * vU_[136] + vU_[95] * vU_[121];
+ vU_[105] = vU_[105] + vU_[133];
+ vU_[132] = vU_[118] + vU_[132] - vU_[142];
+ vU_[118] = vU_[137] * vU_[105] + vU_[95] * vU_[132];
+ vU_[133] = vU_[103] * vU_[214] + vU_[118] * vU_[137];
+ vU_[185] = vU_[168] + vU_[185] - vU_[191];
+ vU_[169] = vU_[169] + vU_[151];
+ vU_[151] = vU_[112] * vU_[185] + vU_[223] * vU_[169];
+ vU_[153] = vU_[153] + vU_[182];
+ vU_[180] = vU_[165] + vU_[180] - vU_[191];
+ vU_[165] = vU_[112] * vU_[153] + vU_[223] * vU_[180];
+ vU_[182] = vU_[151] * vU_[223] + vU_[165] * vU_[186];
+ vU_[168] = (1.1915559 + vU_[85] + vU_[37] + vU_[133] + vU_[182] - vU_[145] * vU_[227]) / vU_[171];
+ vU_[14] = vU_[205] * vU_[10] + vU_[41] * vU_[14];
+ vU_[26] = vU_[205] * vU_[40] + vU_[41] * vU_[26];
+ vU_[40] = vU_[14] * vU_[41] + vU_[26] * vU_[205] + vU_[46];
+ vU_[84] = vU_[196] * vU_[57] + vU_[89] * vU_[84];
+ vU_[73] = vU_[196] * vU_[88] + vU_[89] * vU_[73];
+ vU_[88] = vU_[84] * vU_[89] + vU_[73] * vU_[196] + vU_[94];
+ vU_[132] = vU_[214] * vU_[105] + vU_[137] * vU_[132];
+ vU_[121] = vU_[214] * vU_[136] + vU_[137] * vU_[121];
+ vU_[136] = vU_[132] * vU_[137] + vU_[121] * vU_[214] + vU_[142];
+ vU_[180] = vU_[223] * vU_[153] + vU_[186] * vU_[180];
+ vU_[169] = vU_[223] * vU_[185] + vU_[186] * vU_[169];
+ vU_[185] = vU_[180] * vU_[186] + vU_[169] * vU_[223] + vU_[191];
+ vU_[153] = (vU_[40] + vU_[88] + vU_[136] + vU_[185] - vU_[127] * vU_[168] - vU_[187] * vU_[227]) / vU_[175];
+ vU_[44] = 0 - vU_[44];
+ vU_[105] = 0 - vU_[205] * vU_[39] - vU_[64] * vU_[44];
+ vU_[92] = 0 - vU_[92];
+ vU_[57] = 0 - vU_[47] * vU_[87] - vU_[89] * vU_[92];
+ vU_[140] = 0 - vU_[140];
+ vU_[10] = 0 - vU_[95] * vU_[135] - vU_[137] * vU_[140];
+ vU_[189] = 0 - vU_[189];
+ vU_[120] = 0 - vU_[223] * vU_[184] - vU_[112] * vU_[189];
+ vU_[25] = vU_[46] + vU_[94] + vU_[142] + vU_[191];
+ vU_[72] = 2.0678571 + vU_[86] + vU_[38] + vU_[134] + vU_[183] - vU_[25] * vU_[36];
+ vU_[45] = 0.0053433 + vU_[207] + vU_[194] + vU_[141] + vU_[45] - vU_[72] * vU_[225] - vU_[25] * vU_[190];
+ vU_[201] = vU_[201] - vU_[71];
+ vU_[74] = vU_[74] - vU_[71];
+ vU_[210] = vU_[210] - vU_[23];
+ vU_[27] = vU_[27] - vU_[23];
+ vU_[219] = vU_[219] - vU_[119];
+ vU_[122] = vU_[122] - vU_[119];
+ vU_[228] = vU_[228] - vU_[166];
+ vU_[170] = vU_[170] - vU_[166];
+ vU_[141] = vU_[89] * vU_[54];
+ vU_[194] = (vU_[89] * vU_[74] + vU_[47] * vU_[54]) * vU_[89] + (vU_[141] + vU_[47] * vU_[201]) * vU_[47];
+ vU_[141] = vU_[196] * vU_[74] + vU_[141];
+ vU_[54] = vU_[196] * vU_[54] + vU_[89] * vU_[201];
+ vU_[207] = vU_[141] * vU_[196] + vU_[54] * vU_[89];
+ vU_[229] = vU_[205] * vU_[7];
+ vU_[218] = (vU_[64] * vU_[27] + vU_[229]) * vU_[64] + (vU_[64] * vU_[7] + vU_[205] * vU_[210]) * vU_[205];
+ vU_[7] = vU_[205] * vU_[27] + vU_[41] * vU_[7];
+ vU_[229] = vU_[229] + vU_[41] * vU_[210];
+ vU_[220] = vU_[7] * vU_[205] + vU_[229] * vU_[41];
+ vU_[209] = vU_[137] * vU_[102];
+ vU_[211] = (vU_[137] * vU_[122] + vU_[95] * vU_[102]) * vU_[137] + (vU_[209] + vU_[95] * vU_[219]) * vU_[95];
+ vU_[209] = vU_[214] * vU_[122] + vU_[209];
+ vU_[102] = vU_[214] * vU_[102] + vU_[137] * vU_[219];
+ vU_[200] = vU_[209] * vU_[214] + vU_[102] * vU_[137];
+ vU_[202] = vU_[223] * vU_[150];
+ vU_[75] = (vU_[112] * vU_[170] + vU_[202]) * vU_[112] + (vU_[112] * vU_[150] + vU_[223] * vU_[228]) * vU_[223];
+ vU_[150] = vU_[223] * vU_[170] + vU_[186] * vU_[150];
+ vU_[202] = vU_[202] + vU_[186] * vU_[228];
+ vU_[230] = vU_[150] * vU_[223] + vU_[202] * vU_[186];
+ vU_[170] = 53.433 + vU_[201] + vU_[74] + vU_[71] + vU_[210] + vU_[27] + vU_[23] + vU_[219] + vU_[122] + vU_[119] +
+ vU_[228] + vU_[170] + vU_[166] - vU_[194] - vU_[207] - vU_[218] - vU_[220] - vU_[211] - vU_[200] -
+ vU_[75] - vU_[230] - vU_[72] * vU_[12] - vU_[25] * vU_[231] - vU_[45] * vU_[123];
+ vU_[228] =
+ (vU_[105] + vU_[57] + vU_[10] + vU_[120] - vU_[72] * vU_[168] - vU_[25] * vU_[227] - vU_[45] * vU_[153]) /
+ vU_[170];
+ vU_[82] = vU_[199] * vU_[47] + vU_[82] * vU_[89] - vU_[86];
+ vU_[28] = vU_[208] * vU_[205] + vU_[28] * vU_[64] - vU_[38];
+ vU_[130] = vU_[217] * vU_[95] + vU_[130] * vU_[137] - vU_[134];
+ vU_[178] = vU_[226] * vU_[223] + vU_[178] * vU_[112] - vU_[183];
+ vU_[226] = (-2.0678571 + vU_[82] + vU_[28] + vU_[130] + vU_[178]) / vU_[181];
+ vU_[22] = vU_[22] * vU_[205] + vU_[8] * vU_[64] + vU_[46];
+ vU_[70] = vU_[70] * vU_[47] + vU_[55] * vU_[89] + vU_[94];
+ vU_[118] = vU_[118] * vU_[95] + vU_[103] * vU_[137] + vU_[142];
+ vU_[165] = vU_[165] * vU_[223] + vU_[151] * vU_[112] + vU_[191];
+ vU_[151] = (vU_[22] + vU_[70] + vU_[118] + vU_[165] - vU_[145] * vU_[226]) / vU_[171];
+ vU_[73] = vU_[73] * vU_[89] + vU_[84] * vU_[47];
+ vU_[26] = vU_[26] * vU_[64] + vU_[14] * vU_[205];
+ vU_[121] = vU_[121] * vU_[137] + vU_[132] * vU_[95];
+ vU_[169] = vU_[169] * vU_[112] + vU_[180] * vU_[223];
+ vU_[180] =
+ (-1.1915559 + vU_[73] + vU_[26] + vU_[121] + vU_[169] - vU_[127] * vU_[151] - vU_[187] * vU_[226]) / vU_[175];
+ vU_[44] = vU_[205] * vU_[44] + vU_[41] * vU_[39];
+ vU_[92] = vU_[196] * vU_[92] + vU_[89] * vU_[87];
+ vU_[140] = vU_[214] * vU_[140] + vU_[137] * vU_[135];
+ vU_[189] = vU_[223] * vU_[189] + vU_[186] * vU_[184];
+ vU_[184] =
+ (vU_[44] + vU_[92] + vU_[140] + vU_[189] - vU_[72] * vU_[151] - vU_[25] * vU_[226] - vU_[45] * vU_[180]) /
+ vU_[170];
+ vU_[135] = vU_[226] + (0 - vU_[36]) * vU_[151] + (0 - vU_[17]) * vU_[180] + (0 - vU_[34]) * vU_[184];
+ vU_[229] = vU_[7] * vU_[64] + vU_[229] * vU_[205];
+ vU_[54] = vU_[141] * vU_[89] + vU_[54] * vU_[47];
+ vU_[102] = vU_[209] * vU_[137] + vU_[102] * vU_[95];
+ vU_[202] = vU_[150] * vU_[112] + vU_[202] * vU_[223];
+ vU_[178] = -2.0678571 + vU_[82] + vU_[28] + vU_[130] + vU_[178];
+ vU_[165] = vU_[22] + vU_[70] + vU_[118] + vU_[165] - vU_[178] * vU_[36];
+ vU_[169] = -1.1915559 + vU_[73] + vU_[26] + vU_[121] + vU_[169] - vU_[165] * vU_[225] - vU_[178] * vU_[190];
+ vU_[189] = vU_[44] + vU_[92] + vU_[140] + vU_[189] - vU_[165] * vU_[12] - vU_[178] * vU_[231] - vU_[169] * vU_[123];
+ vU_[75] = 53.433 + vU_[71] + vU_[194] + vU_[23] + vU_[218] + vU_[119] + vU_[211] + vU_[166] + vU_[75] -
+ vU_[165] * vU_[151] - vU_[178] * vU_[226] - vU_[169] * vU_[180] - vU_[189] * vU_[184];
+ vU_[211] = (vU_[229] + vU_[54] + vU_[102] + vU_[202] - vU_[165] * vU_[168] - vU_[178] * vU_[227] -
+ vU_[169] * vU_[153] - vU_[189] * vU_[228]) /
+ vU_[75];
+ vU_[162] = -0.0053433 + vU_[66] + vU_[19] + vU_[114] + vU_[162];
+ vU_[182] = 1.1915559 + vU_[85] + vU_[37] + vU_[133] + vU_[182] - vU_[162] * vU_[36];
+ vU_[185] = vU_[40] + vU_[88] + vU_[136] + vU_[185] - vU_[182] * vU_[225] - vU_[162] * vU_[190];
+ vU_[120] = vU_[105] + vU_[57] + vU_[10] + vU_[120] - vU_[182] * vU_[12] - vU_[162] * vU_[231] - vU_[185] * vU_[123];
+ vU_[202] = vU_[229] + vU_[54] + vU_[102] + vU_[202] - vU_[182] * vU_[151] - vU_[162] * vU_[226] -
+ vU_[185] * vU_[180] - vU_[120] * vU_[184];
+ vU_[230] = 53.433 + vU_[71] + vU_[207] + vU_[23] + vU_[220] + vU_[119] + vU_[200] + vU_[166] + vU_[230] -
+ vU_[182] * vU_[168] - vU_[162] * vU_[227] - vU_[185] * vU_[153] - vU_[120] * vU_[228] -
+ vU_[202] * vU_[211];
+ vU_[200] = (vU_[227] + (0 - vU_[36]) * vU_[168] + (0 - vU_[17]) * vU_[153] + (0 - vU_[34]) * vU_[228] +
+ (0 - vU_[135]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[135] = (vU_[135] + (0 - vU_[200]) * vU_[202]) * 1 / vU_[75];
+ vU_[34] = (vU_[34] + (0 - vU_[200]) * vU_[120] + (0 - vU_[135]) * vU_[189]) * 1 / vU_[170];
+ vU_[17] =
+ (vU_[17] + (0 - vU_[200]) * vU_[185] + (0 - vU_[135]) * vU_[169] + (0 - vU_[34]) * vU_[45]) * 1 / vU_[175];
+ vU_[220] = vU_[34] * -1 + vU_[17] * 0.207;
+ vU_[207] = 0 - vU_[143];
+ vU_[166] = (vU_[36] + (0 - vU_[200]) * vU_[182] + (0 - vU_[135]) * vU_[165] + (0 - vU_[34]) * vU_[72] +
+ (0 - vU_[17]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[119] = (-1 + (0 - vU_[200]) * vU_[162] + (0 - vU_[135]) * vU_[178] + (0 - vU_[34]) * vU_[25] +
+ (0 - vU_[17]) * vU_[187] + (0 - vU_[166]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[23] = 0.207 * vU_[186];
+ vU_[71] = 0 - vU_[143];
+ vU_[102] = 0 - vU_[186];
+ vU_[54] = -0.3735 * vU_[186];
+ vU_[143] = 0.3735 * vU_[143];
+ vU_[229] = vU_[200] * vU_[71] + vU_[135] * vU_[102] + vU_[17] * vU_[54] + vU_[166] * vU_[143] + vU_[119] * vU_[144];
+ vU_[10] = vU_[119] * -1;
+ vU_[57] = vU_[17] * vU_[186] + vU_[166] * vU_[223];
+ vU_[105] = vU_[17] * vU_[223] + vU_[166] * vU_[112];
+ jac[18] =
+ vU_[220] * 1 / vU_[158] * vU_[179] +
+ (vU_[200] * vU_[186] + vU_[135] * vU_[207] + vU_[17] * vU_[224] + vU_[166] * vU_[124] + vU_[119] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[229] * 1 / vU_[158] * vU_[157] + vU_[10] * 1 / vU_[158] * vU_[158] + vU_[57] * 1 / vU_[158] * vU_[107] +
+ vU_[105] * 1 / vU_[158] * vU_[159];
+ vU_[136] = vU_[12] + (0 - vU_[225]) * vU_[123];
+ vU_[88] = vU_[151] + (0 - vU_[225]) * vU_[180] + (0 - vU_[136]) * vU_[184];
+ vU_[40] =
+ (vU_[168] + (0 - vU_[225]) * vU_[153] + (0 - vU_[136]) * vU_[228] + (0 - vU_[88]) * vU_[211]) * 1 / vU_[230];
+ vU_[88] = (vU_[88] + (0 - vU_[40]) * vU_[202]) * 1 / vU_[75];
+ vU_[136] = (vU_[136] + (0 - vU_[40]) * vU_[120] + (0 - vU_[88]) * vU_[189]) * 1 / vU_[170];
+ vU_[133] =
+ (vU_[225] + (0 - vU_[40]) * vU_[185] + (0 - vU_[88]) * vU_[169] + (0 - vU_[136]) * vU_[45]) * 1 / vU_[175];
+ vU_[37] = vU_[136] * -1 + vU_[133] * 0.207;
+ vU_[85] = (-1 + (0 - vU_[40]) * vU_[182] + (0 - vU_[88]) * vU_[165] + (0 - vU_[136]) * vU_[72] +
+ (0 - vU_[133]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[114] = ((0 - vU_[40]) * vU_[162] + (0 - vU_[88]) * vU_[178] + (0 - vU_[136]) * vU_[25] +
+ (0 - vU_[133]) * vU_[187] + (0 - vU_[85]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[19] = vU_[40] * vU_[71] + vU_[88] * vU_[102] + vU_[133] * vU_[54] + vU_[85] * vU_[143] + vU_[114] * vU_[144];
+ vU_[66] = vU_[114] * -1;
+ vU_[218] = vU_[133] * vU_[186] + vU_[85] * vU_[223];
+ vU_[194] = vU_[133] * vU_[223] + vU_[85] * vU_[112];
+ jac[19] =
+ vU_[37] * 1 / vU_[158] * vU_[179] +
+ (vU_[40] * vU_[186] + vU_[88] * vU_[207] + vU_[133] * vU_[224] + vU_[85] * vU_[124] + vU_[114] * vU_[23]) * 1 /
+ vU_[158] * vU_[188] +
+ vU_[19] * 1 / vU_[158] * vU_[157] + vU_[66] * 1 / vU_[158] * vU_[158] + vU_[218] * 1 / vU_[158] * vU_[107] +
+ vU_[194] * 1 / vU_[158] * vU_[159];
+ vU_[140] = vU_[180] + (0 - vU_[123]) * vU_[184];
+ vU_[92] = (vU_[153] + (0 - vU_[123]) * vU_[228] + (0 - vU_[140]) * vU_[211]) * 1 / vU_[230];
+ vU_[140] = (vU_[140] + (0 - vU_[92]) * vU_[202]) * 1 / vU_[75];
+ vU_[44] = (vU_[123] + (0 - vU_[92]) * vU_[120] + (0 - vU_[140]) * vU_[189]) * 1 / vU_[170];
+ vU_[121] = (-1 + (0 - vU_[92]) * vU_[185] + (0 - vU_[140]) * vU_[169] + (0 - vU_[44]) * vU_[45]) * 1 / vU_[175];
+ vU_[26] = vU_[44] * -1 + vU_[121] * 0.207;
+ vU_[73] =
+ ((0 - vU_[92]) * vU_[182] + (0 - vU_[140]) * vU_[165] + (0 - vU_[44]) * vU_[72] + (0 - vU_[121]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[118] = ((0 - vU_[92]) * vU_[162] + (0 - vU_[140]) * vU_[178] + (0 - vU_[44]) * vU_[25] +
+ (0 - vU_[121]) * vU_[187] + (0 - vU_[73]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[70] = vU_[92] * vU_[71] + vU_[140] * vU_[102] + vU_[121] * vU_[54] + vU_[73] * vU_[143] + vU_[118] * vU_[144];
+ vU_[22] = vU_[118] * -1;
+ vU_[130] = vU_[121] * vU_[186] + vU_[73] * vU_[223];
+ vU_[28] = vU_[121] * vU_[223] + vU_[73] * vU_[112];
+ jac[20] =
+ vU_[26] * 1 / vU_[158] * vU_[179] +
+ (vU_[92] * vU_[186] + vU_[140] * vU_[207] + vU_[121] * vU_[224] + vU_[73] * vU_[124] + vU_[118] * vU_[23]) * 1 /
+ vU_[158] * vU_[188] +
+ vU_[70] * 1 / vU_[158] * vU_[157] + vU_[22] * 1 / vU_[158] * vU_[158] + vU_[130] * 1 / vU_[158] * vU_[107] +
+ vU_[28] * 1 / vU_[158] * vU_[159];
+ vU_[82] = (vU_[228] + (0 - vU_[184]) * vU_[211]) * 1 / vU_[230];
+ vU_[150] = (vU_[184] + (0 - vU_[82]) * vU_[202]) * 1 / vU_[75];
+ vU_[209] = (-1 + (0 - vU_[82]) * vU_[120] + (0 - vU_[150]) * vU_[189]) * 1 / vU_[170];
+ vU_[141] = ((0 - vU_[82]) * vU_[185] + (0 - vU_[150]) * vU_[169] + (0 - vU_[209]) * vU_[45]) * 1 / vU_[175];
+ vU_[7] = vU_[209] * -1 + vU_[141] * 0.207;
+ vU_[87] =
+ ((0 - vU_[82]) * vU_[182] + (0 - vU_[150]) * vU_[165] + (0 - vU_[209]) * vU_[72] + (0 - vU_[141]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[39] = ((0 - vU_[82]) * vU_[162] + (0 - vU_[150]) * vU_[178] + (0 - vU_[209]) * vU_[25] +
+ (0 - vU_[141]) * vU_[187] + (0 - vU_[87]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[132] = vU_[82] * vU_[71] + vU_[150] * vU_[102] + vU_[141] * vU_[54] + vU_[87] * vU_[143] + vU_[39] * vU_[144];
+ vU_[14] = vU_[39] * -1;
+ vU_[84] = vU_[141] * vU_[186] + vU_[87] * vU_[223];
+ vU_[191] = vU_[141] * vU_[223] + vU_[87] * vU_[112];
+ jac[21] =
+ vU_[7] * 1 / vU_[158] * vU_[179] +
+ (vU_[82] * vU_[186] + vU_[150] * vU_[207] + vU_[141] * vU_[224] + vU_[87] * vU_[124] + vU_[39] * vU_[23]) * 1 /
+ vU_[158] * vU_[188] +
+ vU_[132] * 1 / vU_[158] * vU_[157] + vU_[14] * 1 / vU_[158] * vU_[158] + vU_[84] * 1 / vU_[158] * vU_[107] +
+ vU_[191] * 1 / vU_[158] * vU_[159];
+ vU_[103] = vU_[211] * 1 / vU_[230];
+ vU_[142] = (-1 + (0 - vU_[103]) * vU_[202]) * 1 / vU_[75];
+ vU_[55] = ((0 - vU_[103]) * vU_[120] + (0 - vU_[142]) * vU_[189]) * 1 / vU_[170];
+ vU_[94] = ((0 - vU_[103]) * vU_[185] + (0 - vU_[142]) * vU_[169] + (0 - vU_[55]) * vU_[45]) * 1 / vU_[175];
+ vU_[8] = vU_[55] * -1 + vU_[94] * 0.207;
+ vU_[46] =
+ ((0 - vU_[103]) * vU_[182] + (0 - vU_[142]) * vU_[165] + (0 - vU_[55]) * vU_[72] + (0 - vU_[94]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[183] = ((0 - vU_[103]) * vU_[162] + (0 - vU_[142]) * vU_[178] + (0 - vU_[55]) * vU_[25] +
+ (0 - vU_[94]) * vU_[187] + (0 - vU_[46]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[217] = vU_[103] * vU_[71] + vU_[142] * vU_[102] + vU_[94] * vU_[54] + vU_[46] * vU_[143] + vU_[183] * vU_[144];
+ vU_[134] = vU_[183] * -1;
+ vU_[208] = vU_[94] * vU_[186] + vU_[46] * vU_[223];
+ vU_[38] = vU_[94] * vU_[223] + vU_[46] * vU_[112];
+ jac[22] =
+ vU_[8] * 1 / vU_[158] * vU_[179] +
+ (vU_[103] * vU_[186] + vU_[142] * vU_[207] + vU_[94] * vU_[224] + vU_[46] * vU_[124] + vU_[183] * vU_[23]) * 1 /
+ vU_[158] * vU_[188] +
+ vU_[217] * 1 / vU_[158] * vU_[157] + vU_[134] * 1 / vU_[158] * vU_[158] + vU_[208] * 1 / vU_[158] * vU_[107] +
+ vU_[38] * 1 / vU_[158] * vU_[159];
+ vU_[199] = -1 * 1 / vU_[230];
+ vU_[86] = (0 - vU_[199]) * vU_[202] * 1 / vU_[75];
+ vU_[122] = ((0 - vU_[199]) * vU_[120] + (0 - vU_[86]) * vU_[189]) * 1 / vU_[170];
+ vU_[219] = ((0 - vU_[199]) * vU_[185] + (0 - vU_[86]) * vU_[169] + (0 - vU_[122]) * vU_[45]) * 1 / vU_[175];
+ vU_[27] = vU_[122] * -1 + vU_[219] * 0.207;
+ vU_[210] =
+ ((0 - vU_[199]) * vU_[182] + (0 - vU_[86]) * vU_[165] + (0 - vU_[122]) * vU_[72] + (0 - vU_[219]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[74] = ((0 - vU_[199]) * vU_[162] + (0 - vU_[86]) * vU_[178] + (0 - vU_[122]) * vU_[25] +
+ (0 - vU_[219]) * vU_[187] + (0 - vU_[210]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[201] = vU_[199] * vU_[71] + vU_[86] * vU_[102] + vU_[219] * vU_[54] + vU_[210] * vU_[143] + vU_[74] * vU_[144];
+ vU_[221] = vU_[74] * -1;
+ vU_[212] = vU_[219] * vU_[186] + vU_[210] * vU_[223];
+ vU_[203] = vU_[219] * vU_[223] + vU_[210] * vU_[112];
+ jac[23] =
+ vU_[27] * 1 / vU_[158] * vU_[179] +
+ (vU_[199] * vU_[186] + vU_[86] * vU_[207] + vU_[219] * vU_[224] + vU_[210] * vU_[124] + vU_[74] * vU_[23]) * 1 /
+ vU_[158] * vU_[188] +
+ vU_[201] * 1 / vU_[158] * vU_[157] + vU_[221] * 1 / vU_[158] * vU_[158] + vU_[212] * 1 / vU_[158] * vU_[107] +
+ vU_[203] * 1 / vU_[158] * vU_[159];
+ vU_[216] = 1 / vU_[158];
+ vU_[79] = (0 - vU_[216]) * vU_[179];
+ vU_[198] = (0 - vU_[216]) * vU_[188];
+ vU_[138] = (0 - vU_[216]) * vU_[157];
+ vU_[42] = vU_[198] * vU_[23] + vU_[138] * vU_[144] + (0 - vU_[216]) * vU_[158] * -1;
+ vU_[90] = (0 - vU_[216]) * vU_[107];
+ vU_[93] = (0 - vU_[216]) * vU_[159];
+ vU_[33] =
+ 0 - (vU_[198] * vU_[124] + vU_[138] * vU_[143] + vU_[90] * vU_[223] + vU_[93] * vU_[112]) + vU_[42] * vU_[36];
+ vU_[93] = 0 -
+ (vU_[79] * 0.207 + vU_[198] * vU_[224] + vU_[138] * vU_[54] + vU_[90] * vU_[186] + vU_[93] * vU_[223]) +
+ vU_[42] * vU_[190] + (0 - vU_[33]) * vU_[225];
+ vU_[79] = 0 - vU_[79] * -1 + vU_[42] * vU_[231] + (0 - vU_[33]) * vU_[12] + (0 - vU_[93]) * vU_[123];
+ vU_[90] = 0 - (vU_[198] * vU_[207] + vU_[138] * vU_[102]) + vU_[42] * vU_[226] + (0 - vU_[33]) * vU_[151] +
+ (0 - vU_[93]) * vU_[180] + (0 - vU_[79]) * vU_[184];
+ vU_[138] = (0 - (vU_[198] * vU_[186] + vU_[138] * vU_[71]) + vU_[42] * vU_[227] + (0 - vU_[33]) * vU_[168] +
+ (0 - vU_[93]) * vU_[153] + (0 - vU_[79]) * vU_[228] + (0 - vU_[90]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[90] = (vU_[90] + (0 - vU_[138]) * vU_[202]) * 1 / vU_[75];
+ vU_[79] = (vU_[79] + (0 - vU_[138]) * vU_[120] + (0 - vU_[90]) * vU_[189]) * 1 / vU_[170];
+ vU_[93] = (vU_[93] + (0 - vU_[138]) * vU_[185] + (0 - vU_[90]) * vU_[169] + (0 - vU_[79]) * vU_[45]) * 1 / vU_[175];
+ vU_[198] = vU_[79] * -1 + vU_[93] * 0.207;
+ vU_[33] = (vU_[33] + (0 - vU_[138]) * vU_[182] + (0 - vU_[90]) * vU_[165] + (0 - vU_[79]) * vU_[72] +
+ (0 - vU_[93]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[42] = (0 - vU_[42] + (0 - vU_[138]) * vU_[162] + (0 - vU_[90]) * vU_[178] + (0 - vU_[79]) * vU_[25] +
+ (0 - vU_[93]) * vU_[187] + (0 - vU_[33]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[192] = vU_[138] * vU_[71] + vU_[90] * vU_[102] + vU_[93] * vU_[54] + vU_[33] * vU_[143] + vU_[42] * vU_[144];
+ vU_[222] = vU_[42] * -1;
+ vU_[2] = vU_[93] * vU_[186] + vU_[33] * vU_[223];
+ vU_[126] = vU_[93] * vU_[223] + vU_[33] * vU_[112];
+ jac[24] = vU_[216] + vU_[198] * 1 / vU_[158] * vU_[179] +
+ (vU_[138] * vU_[186] + vU_[90] * vU_[207] + vU_[93] * vU_[224] + vU_[33] * vU_[124] + vU_[42] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[192] * 1 / vU_[158] * vU_[157] + vU_[222] * 1 / vU_[158] * vU_[158] +
+ vU_[2] * 1 / vU_[158] * vU_[107] + vU_[126] * 1 / vU_[158] * vU_[159];
+ vU_[216] = 1 / vU_[154];
+ vU_[213] = (0 - vU_[216]) * vU_[173];
+ vU_[78] = (0 - vU_[216]) * vU_[177];
+ vU_[204] = vU_[213] * vU_[164] + vU_[78] * vU_[146];
+ vU_[149] = vU_[204] * 1 / vU_[158];
+ vU_[156] = (0 - vU_[216]) * vU_[161];
+ vU_[101] = (0 - vU_[216]) * vU_[163];
+ vU_[108] = vU_[156] * vU_[164] + vU_[101] * vU_[146] + (0 - vU_[149]) * vU_[179];
+ vU_[6] = (0 - vU_[149]) * vU_[188];
+ vU_[13] = 0 - vU_[146];
+ vU_[53] = vU_[156] * vU_[13] + vU_[101] * vU_[164] + (0 - vU_[149]) * vU_[157];
+ vU_[204] = vU_[6] * vU_[23] + vU_[53] * vU_[144] + (vU_[204] + (0 - vU_[149]) * vU_[158]) * -1;
+ vU_[60] = -0.08 * vU_[164];
+ vU_[101] = vU_[156] * vU_[60] + vU_[101] * vU_[176] + (0 - vU_[216]) * vU_[154] * -1 + (0 - vU_[149]) * vU_[107];
+ vU_[78] = vU_[213] * vU_[167] + vU_[78] * vU_[164] + (0 - vU_[149]) * vU_[159];
+ vU_[213] =
+ 0 - (vU_[6] * vU_[124] + vU_[53] * vU_[143] + vU_[101] * vU_[223] + vU_[78] * vU_[112]) + vU_[204] * vU_[36];
+ vU_[78] = 0 -
+ (vU_[108] * 0.207 + vU_[6] * vU_[224] + vU_[53] * vU_[54] + vU_[101] * vU_[186] + vU_[78] * vU_[223]) +
+ vU_[204] * vU_[190] + (0 - vU_[213]) * vU_[225];
+ vU_[108] = 0 - vU_[108] * -1 + vU_[204] * vU_[231] + (0 - vU_[213]) * vU_[12] + (0 - vU_[78]) * vU_[123];
+ vU_[101] = 0 - (vU_[6] * vU_[207] + vU_[53] * vU_[102]) + vU_[204] * vU_[226] + (0 - vU_[213]) * vU_[151] +
+ (0 - vU_[78]) * vU_[180] + (0 - vU_[108]) * vU_[184];
+ vU_[53] = (0 - (vU_[6] * vU_[186] + vU_[53] * vU_[71]) + vU_[204] * vU_[227] + (0 - vU_[213]) * vU_[168] +
+ (0 - vU_[78]) * vU_[153] + (0 - vU_[108]) * vU_[228] + (0 - vU_[101]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[101] = (vU_[101] + (0 - vU_[53]) * vU_[202]) * 1 / vU_[75];
+ vU_[108] = (vU_[108] + (0 - vU_[53]) * vU_[120] + (0 - vU_[101]) * vU_[189]) * 1 / vU_[170];
+ vU_[78] =
+ (vU_[78] + (0 - vU_[53]) * vU_[185] + (0 - vU_[101]) * vU_[169] + (0 - vU_[108]) * vU_[45]) * 1 / vU_[175];
+ vU_[6] = vU_[108] * -1 + vU_[78] * 0.207;
+ vU_[213] = (vU_[213] + (0 - vU_[53]) * vU_[182] + (0 - vU_[101]) * vU_[165] + (0 - vU_[108]) * vU_[72] +
+ (0 - vU_[78]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[204] = (0 - vU_[204] + (0 - vU_[53]) * vU_[162] + (0 - vU_[101]) * vU_[178] + (0 - vU_[108]) * vU_[25] +
+ (0 - vU_[78]) * vU_[187] + (0 - vU_[213]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[156] = vU_[53] * vU_[71] + vU_[101] * vU_[102] + vU_[78] * vU_[54] + vU_[213] * vU_[143] + vU_[204] * vU_[144];
+ vU_[155] = vU_[204] * -1;
+ vU_[174] = vU_[78] * vU_[186] + vU_[213] * vU_[223];
+ vU_[160] = vU_[78] * vU_[223] + vU_[213] * vU_[112];
+ jac[25] =
+ vU_[149] + vU_[6] * 1 / vU_[158] * vU_[179] +
+ (vU_[53] * vU_[186] + vU_[101] * vU_[207] + vU_[78] * vU_[224] + vU_[213] * vU_[124] + vU_[204] * vU_[23]) * 1 /
+ vU_[158] * vU_[188] +
+ vU_[156] * 1 / vU_[158] * vU_[157] + vU_[155] * 1 / vU_[158] * vU_[158] + vU_[174] * 1 / vU_[158] * vU_[107] +
+ vU_[160] * 1 / vU_[158] * vU_[159];
+ vU_[149] = 0.35 * vU_[148];
+ vU_[172] = -1. + -4.21975478400367 * vU_[149] + 0.0168251785646079 * vU_[152];
+ vU_[232] = vU_[172] * 1 / vU_[154];
+ vU_[233] = (0 - vU_[232]) * vU_[173];
+ vU_[234] = (0 - vU_[232]) * vU_[177];
+ vU_[235] = vU_[233] * vU_[164] + vU_[234] * vU_[146];
+ vU_[236] = vU_[235] * 1 / vU_[158];
+ vU_[237] = -4.21975478400367 * vU_[148] + 0.0168251785646079 * vU_[147] + (0 - vU_[232]) * vU_[161];
+ vU_[238] = 0 - vU_[147];
+ vU_[239] = -4.21975478400367 * vU_[238] + 0.0168251785646079 * vU_[148] + (0 - vU_[232]) * vU_[163];
+ vU_[240] = vU_[237] * vU_[164] + vU_[239] * vU_[146] + (0 - vU_[236]) * vU_[179];
+ vU_[241] = (0 - vU_[236]) * vU_[188];
+ vU_[242] = vU_[237] * vU_[13] + vU_[239] * vU_[164] + (0 - vU_[236]) * vU_[157];
+ vU_[235] = vU_[241] * vU_[23] + vU_[242] * vU_[144] + (vU_[235] + (0 - vU_[236]) * vU_[158]) * -1;
+ vU_[239] = vU_[237] * vU_[60] + vU_[239] * vU_[176] + (vU_[172] + (0 - vU_[232]) * vU_[154]) * -1 +
+ (0 - vU_[236]) * vU_[107];
+ vU_[234] = vU_[233] * vU_[167] + vU_[234] * vU_[164] + (0 - vU_[236]) * vU_[159];
+ vU_[233] = 0 - (vU_[241] * vU_[124] + vU_[242] * vU_[143] + vU_[239] * vU_[223] + vU_[234] * vU_[112]) +
+ vU_[235] * vU_[36];
+ vU_[234] =
+ 0 - (vU_[240] * 0.207 + vU_[241] * vU_[224] + vU_[242] * vU_[54] + vU_[239] * vU_[186] + vU_[234] * vU_[223]) +
+ vU_[235] * vU_[190] + (0 - vU_[233]) * vU_[225];
+ vU_[240] = 0 - vU_[240] * -1 + vU_[235] * vU_[231] + (0 - vU_[233]) * vU_[12] + (0 - vU_[234]) * vU_[123];
+ vU_[239] = 0 - (vU_[241] * vU_[207] + vU_[242] * vU_[102]) + vU_[235] * vU_[226] + (0 - vU_[233]) * vU_[151] +
+ (0 - vU_[234]) * vU_[180] + (0 - vU_[240]) * vU_[184];
+ vU_[242] = (0 - (vU_[241] * vU_[186] + vU_[242] * vU_[71]) + vU_[235] * vU_[227] + (0 - vU_[233]) * vU_[168] +
+ (0 - vU_[234]) * vU_[153] + (0 - vU_[240]) * vU_[228] + (0 - vU_[239]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[239] = (vU_[239] + (0 - vU_[242]) * vU_[202]) * 1 / vU_[75];
+ vU_[240] = (vU_[240] + (0 - vU_[242]) * vU_[120] + (0 - vU_[239]) * vU_[189]) * 1 / vU_[170];
+ vU_[234] =
+ (vU_[234] + (0 - vU_[242]) * vU_[185] + (0 - vU_[239]) * vU_[169] + (0 - vU_[240]) * vU_[45]) * 1 / vU_[175];
+ vU_[241] = vU_[240] * -1 + vU_[234] * 0.207;
+ vU_[233] = (vU_[233] + (0 - vU_[242]) * vU_[182] + (0 - vU_[239]) * vU_[165] + (0 - vU_[240]) * vU_[72] +
+ (0 - vU_[234]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[235] = (0 - vU_[235] + (0 - vU_[242]) * vU_[162] + (0 - vU_[239]) * vU_[178] + (0 - vU_[240]) * vU_[25] +
+ (0 - vU_[234]) * vU_[187] + (0 - vU_[233]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[237] =
+ vU_[242] * vU_[71] + vU_[239] * vU_[102] + vU_[234] * vU_[54] + vU_[233] * vU_[143] + vU_[235] * vU_[144];
+ vU_[172] = vU_[235] * -1;
+ vU_[243] = vU_[234] * vU_[186] + vU_[233] * vU_[223];
+ vU_[244] = vU_[234] * vU_[223] + vU_[233] * vU_[112];
+ jac[26] =
+ vU_[236] + vU_[241] * 1 / vU_[158] * vU_[179] +
+ (vU_[242] * vU_[186] + vU_[239] * vU_[207] + vU_[234] * vU_[224] + vU_[233] * vU_[124] + vU_[235] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[237] * 1 / vU_[158] * vU_[157] + vU_[172] * 1 / vU_[158] * vU_[158] + vU_[243] * 1 / vU_[158] * vU_[107] +
+ vU_[244] * 1 / vU_[158] * vU_[159];
+ vU_[236] = 1 / vU_[110];
+ vU_[245] = (0 - vU_[236]) * vU_[131];
+ vU_[246] = (0 - vU_[236]) * vU_[139];
+ vU_[247] = -0.207 * vU_[137];
+ vU_[248] = (0 - vU_[236]) * vU_[109];
+ vU_[249] = (0 - vU_[236]) * vU_[110] + vU_[246] * vU_[247] + vU_[248] * vU_[96];
+ vU_[250] = 0.3735 * vU_[95];
+ vU_[251] = (0 - vU_[236]) * vU_[35];
+ vU_[252] = (0 - vU_[236]) * vU_[111];
+ vU_[253] =
+ 0 - (vU_[246] * vU_[30] + vU_[248] * vU_[250] + vU_[251] * vU_[95] + vU_[252] * vU_[137]) + vU_[249] * vU_[36];
+ vU_[254] = 0.3735 * vU_[137];
+ vU_[252] =
+ 0 - (vU_[245] * 0.207 + vU_[246] * vU_[215] + vU_[248] * vU_[254] + vU_[251] * vU_[137] + vU_[252] * vU_[214]) +
+ vU_[249] * vU_[190] + (0 - vU_[253]) * vU_[225];
+ vU_[245] = 0 - vU_[245] + vU_[249] * vU_[231] + (0 - vU_[253]) * vU_[12] + (0 - vU_[252]) * vU_[123];
+ vU_[251] = 0 - vU_[95];
+ vU_[255] = 0 - (vU_[246] * vU_[95] + vU_[248] * vU_[137]) + vU_[249] * vU_[226] + (0 - vU_[253]) * vU_[151] +
+ (0 - vU_[252]) * vU_[180] + (0 - vU_[245]) * vU_[184];
+ vU_[248] = (0 - (vU_[246] * vU_[137] + vU_[248] * vU_[251]) + vU_[249] * vU_[227] + (0 - vU_[253]) * vU_[168] +
+ (0 - vU_[252]) * vU_[153] + (0 - vU_[245]) * vU_[228] + (0 - vU_[255]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[255] = (vU_[255] + (0 - vU_[248]) * vU_[202]) * 1 / vU_[75];
+ vU_[245] = (vU_[245] + (0 - vU_[248]) * vU_[120] + (0 - vU_[255]) * vU_[189]) * 1 / vU_[170];
+ vU_[252] =
+ (vU_[252] + (0 - vU_[248]) * vU_[185] + (0 - vU_[255]) * vU_[169] + (0 - vU_[245]) * vU_[45]) * 1 / vU_[175];
+ vU_[246] = vU_[245] * -1 + vU_[252] * 0.207;
+ vU_[253] = (vU_[253] + (0 - vU_[248]) * vU_[182] + (0 - vU_[255]) * vU_[165] + (0 - vU_[245]) * vU_[72] +
+ (0 - vU_[252]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[249] = (0 - vU_[249] + (0 - vU_[248]) * vU_[162] + (0 - vU_[255]) * vU_[178] + (0 - vU_[245]) * vU_[25] +
+ (0 - vU_[252]) * vU_[187] + (0 - vU_[253]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[256] =
+ vU_[248] * vU_[71] + vU_[255] * vU_[102] + vU_[252] * vU_[54] + vU_[253] * vU_[143] + vU_[249] * vU_[144];
+ vU_[257] = vU_[249] * -1;
+ vU_[258] = vU_[252] * vU_[186] + vU_[253] * vU_[223];
+ vU_[259] = vU_[252] * vU_[223] + vU_[253] * vU_[112];
+ jac[27] =
+ vU_[246] * 1 / vU_[158] * vU_[179] +
+ (vU_[248] * vU_[186] + vU_[255] * vU_[207] + vU_[252] * vU_[224] + vU_[253] * vU_[124] + vU_[249] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[256] * 1 / vU_[158] * vU_[157] + vU_[257] * 1 / vU_[158] * vU_[158] + vU_[258] * 1 / vU_[158] * vU_[107] +
+ vU_[259] * 1 / vU_[158] * vU_[159];
+ vU_[260] = 1 / vU_[106];
+ vU_[261] = (0 - vU_[260]) * vU_[113];
+ vU_[262] = 0 - vU_[116];
+ vU_[263] = (0 - vU_[260]) * vU_[115];
+ vU_[264] = 0 - vU_[97];
+ vU_[265] = (0 - vU_[260]) * vU_[125];
+ vU_[266] = (0 - vU_[260]) * vU_[129];
+ vU_[267] = vU_[265] * vU_[117] + vU_[266] * vU_[98];
+ vU_[268] = vU_[267] * 1 / vU_[110];
+ vU_[269] = vU_[261] * vU_[262] + vU_[263] * vU_[264] + (0 - vU_[268]) * vU_[131];
+ vU_[270] = (0 - vU_[268]) * vU_[139];
+ vU_[97] = 0 - vU_[97];
+ vU_[271] = vU_[261] * vU_[97] + vU_[263] * vU_[116] + (0 - vU_[268]) * vU_[109];
+ vU_[267] = vU_[267] + (0 - vU_[268]) * vU_[110] + vU_[270] * vU_[247] + vU_[271] * vU_[96];
+ vU_[272] = 0.08 * vU_[116];
+ vU_[263] = (0 - vU_[260]) * vU_[106] + vU_[261] * vU_[272] + vU_[263] * vU_[128] + (0 - vU_[268]) * vU_[35];
+ vU_[266] = vU_[265] * vU_[98] + vU_[266] * vU_[116] + (0 - vU_[268]) * vU_[111];
+ vU_[265] =
+ 0 - (vU_[270] * vU_[30] + vU_[271] * vU_[250] + vU_[263] * vU_[95] + vU_[266] * vU_[137]) + vU_[267] * vU_[36];
+ vU_[266] =
+ 0 - (vU_[269] * 0.207 + vU_[270] * vU_[215] + vU_[271] * vU_[254] + vU_[263] * vU_[137] + vU_[266] * vU_[214]) +
+ vU_[267] * vU_[190] + (0 - vU_[265]) * vU_[225];
+ vU_[269] = 0 - vU_[269] + vU_[267] * vU_[231] + (0 - vU_[265]) * vU_[12] + (0 - vU_[266]) * vU_[123];
+ vU_[263] = 0 - (vU_[270] * vU_[95] + vU_[271] * vU_[137]) + vU_[267] * vU_[226] + (0 - vU_[265]) * vU_[151] +
+ (0 - vU_[266]) * vU_[180] + (0 - vU_[269]) * vU_[184];
+ vU_[271] = (0 - (vU_[270] * vU_[137] + vU_[271] * vU_[251]) + vU_[267] * vU_[227] + (0 - vU_[265]) * vU_[168] +
+ (0 - vU_[266]) * vU_[153] + (0 - vU_[269]) * vU_[228] + (0 - vU_[263]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[263] = (vU_[263] + (0 - vU_[271]) * vU_[202]) * 1 / vU_[75];
+ vU_[269] = (vU_[269] + (0 - vU_[271]) * vU_[120] + (0 - vU_[263]) * vU_[189]) * 1 / vU_[170];
+ vU_[266] =
+ (vU_[266] + (0 - vU_[271]) * vU_[185] + (0 - vU_[263]) * vU_[169] + (0 - vU_[269]) * vU_[45]) * 1 / vU_[175];
+ vU_[270] = vU_[269] * -1 + vU_[266] * 0.207;
+ vU_[265] = (vU_[265] + (0 - vU_[271]) * vU_[182] + (0 - vU_[263]) * vU_[165] + (0 - vU_[269]) * vU_[72] +
+ (0 - vU_[266]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[267] = (0 - vU_[267] + (0 - vU_[271]) * vU_[162] + (0 - vU_[263]) * vU_[178] + (0 - vU_[269]) * vU_[25] +
+ (0 - vU_[266]) * vU_[187] + (0 - vU_[265]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[261] =
+ vU_[271] * vU_[71] + vU_[263] * vU_[102] + vU_[266] * vU_[54] + vU_[265] * vU_[143] + vU_[267] * vU_[144];
+ vU_[273] = vU_[267] * -1;
+ vU_[274] = vU_[266] * vU_[186] + vU_[265] * vU_[223];
+ vU_[275] = vU_[266] * vU_[223] + vU_[265] * vU_[112];
+ jac[28] =
+ vU_[270] * 1 / vU_[158] * vU_[179] +
+ (vU_[271] * vU_[186] + vU_[263] * vU_[207] + vU_[266] * vU_[224] + vU_[265] * vU_[124] + vU_[267] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[261] * 1 / vU_[158] * vU_[157] + vU_[273] * 1 / vU_[158] * vU_[158] + vU_[274] * 1 / vU_[158] * vU_[107] +
+ vU_[275] * 1 / vU_[158] * vU_[159];
+ vU_[276] = 0.35 * vU_[100];
+ vU_[277] = -1. + -4.21975478400367 * vU_[276] + 0.0168251785646079 * vU_[104];
+ vU_[278] = vU_[277] * 1 / vU_[106];
+ vU_[279] = -4.21975478400367 * vU_[100] + 0.0168251785646079 * vU_[99] + (0 - vU_[278]) * vU_[113];
+ vU_[280] = 0 - vU_[99];
+ vU_[281] = -4.21975478400367 * vU_[280] + 0.0168251785646079 * vU_[100] + (0 - vU_[278]) * vU_[115];
+ vU_[282] = (0 - vU_[278]) * vU_[125];
+ vU_[283] = (0 - vU_[278]) * vU_[129];
+ vU_[284] = vU_[282] * vU_[117] + vU_[283] * vU_[98];
+ vU_[285] = vU_[284] * 1 / vU_[110];
+ vU_[286] = vU_[279] * vU_[262] + vU_[281] * vU_[264] + (0 - vU_[285]) * vU_[131];
+ vU_[287] = (0 - vU_[285]) * vU_[139];
+ vU_[288] = vU_[279] * vU_[97] + vU_[281] * vU_[116] + (0 - vU_[285]) * vU_[109];
+ vU_[284] = vU_[284] + (0 - vU_[285]) * vU_[110] + vU_[287] * vU_[247] + vU_[288] * vU_[96];
+ vU_[281] =
+ vU_[277] + (0 - vU_[278]) * vU_[106] + vU_[279] * vU_[272] + vU_[281] * vU_[128] + (0 - vU_[285]) * vU_[35];
+ vU_[283] = vU_[282] * vU_[98] + vU_[283] * vU_[116] + (0 - vU_[285]) * vU_[111];
+ vU_[282] =
+ 0 - (vU_[287] * vU_[30] + vU_[288] * vU_[250] + vU_[281] * vU_[95] + vU_[283] * vU_[137]) + vU_[284] * vU_[36];
+ vU_[283] =
+ 0 - (vU_[286] * 0.207 + vU_[287] * vU_[215] + vU_[288] * vU_[254] + vU_[281] * vU_[137] + vU_[283] * vU_[214]) +
+ vU_[284] * vU_[190] + (0 - vU_[282]) * vU_[225];
+ vU_[286] = 0 - vU_[286] + vU_[284] * vU_[231] + (0 - vU_[282]) * vU_[12] + (0 - vU_[283]) * vU_[123];
+ vU_[281] = 0 - (vU_[287] * vU_[95] + vU_[288] * vU_[137]) + vU_[284] * vU_[226] + (0 - vU_[282]) * vU_[151] +
+ (0 - vU_[283]) * vU_[180] + (0 - vU_[286]) * vU_[184];
+ vU_[288] = (0 - (vU_[287] * vU_[137] + vU_[288] * vU_[251]) + vU_[284] * vU_[227] + (0 - vU_[282]) * vU_[168] +
+ (0 - vU_[283]) * vU_[153] + (0 - vU_[286]) * vU_[228] + (0 - vU_[281]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[281] = (vU_[281] + (0 - vU_[288]) * vU_[202]) * 1 / vU_[75];
+ vU_[286] = (vU_[286] + (0 - vU_[288]) * vU_[120] + (0 - vU_[281]) * vU_[189]) * 1 / vU_[170];
+ vU_[283] =
+ (vU_[283] + (0 - vU_[288]) * vU_[185] + (0 - vU_[281]) * vU_[169] + (0 - vU_[286]) * vU_[45]) * 1 / vU_[175];
+ vU_[287] = vU_[286] * -1 + vU_[283] * 0.207;
+ vU_[282] = (vU_[282] + (0 - vU_[288]) * vU_[182] + (0 - vU_[281]) * vU_[165] + (0 - vU_[286]) * vU_[72] +
+ (0 - vU_[283]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[284] = (0 - vU_[284] + (0 - vU_[288]) * vU_[162] + (0 - vU_[281]) * vU_[178] + (0 - vU_[286]) * vU_[25] +
+ (0 - vU_[283]) * vU_[187] + (0 - vU_[282]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[279] =
+ vU_[288] * vU_[71] + vU_[281] * vU_[102] + vU_[283] * vU_[54] + vU_[282] * vU_[143] + vU_[284] * vU_[144];
+ vU_[277] = vU_[284] * -1;
+ vU_[289] = vU_[283] * vU_[186] + vU_[282] * vU_[223];
+ vU_[290] = vU_[283] * vU_[223] + vU_[282] * vU_[112];
+ jac[29] =
+ vU_[287] * 1 / vU_[158] * vU_[179] +
+ (vU_[288] * vU_[186] + vU_[281] * vU_[207] + vU_[283] * vU_[224] + vU_[282] * vU_[124] + vU_[284] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[279] * 1 / vU_[158] * vU_[157] + vU_[277] * 1 / vU_[158] * vU_[158] + vU_[289] * 1 / vU_[158] * vU_[107] +
+ vU_[290] * 1 / vU_[158] * vU_[159];
+ vU_[291] = 1 / vU_[15];
+ vU_[292] = (0 - vU_[291]) * vU_[31];
+ vU_[293] = (0 - vU_[291]) * vU_[43];
+ vU_[294] = 0.207 * vU_[41];
+ vU_[295] = (0 - vU_[291]) * vU_[32];
+ vU_[296] = vU_[293] * vU_[294] + vU_[295] * vU_[1] + (0 - vU_[291]) * vU_[15] * -1;
+ vU_[297] = -0.3735 * vU_[0];
+ vU_[298] = (0 - vU_[291]) * vU_[59];
+ vU_[299] = (0 - vU_[291]) * vU_[16];
+ vU_[300] =
+ 0 - (vU_[293] * vU_[76] + vU_[295] * vU_[297] + vU_[298] * vU_[205] + vU_[299] * vU_[64]) + vU_[296] * vU_[36];
+ vU_[301] = 0.3735 * vU_[41];
+ vU_[299] =
+ 0 - (vU_[292] * 0.207 + vU_[293] * vU_[206] + vU_[295] * vU_[301] + vU_[298] * vU_[41] + vU_[299] * vU_[205]) +
+ vU_[296] * vU_[190] + (0 - vU_[300]) * vU_[225];
+ vU_[292] = 0 - vU_[292] * -1 + vU_[296] * vU_[231] + (0 - vU_[300]) * vU_[12] + (0 - vU_[299]) * vU_[123];
+ vU_[298] = 0 - vU_[0];
+ vU_[0] = 0 - vU_[0];
+ vU_[302] = 0 - vU_[41];
+ vU_[303] = 0 - (vU_[293] * vU_[0] + vU_[295] * vU_[302]) + vU_[296] * vU_[226] + (0 - vU_[300]) * vU_[151] +
+ (0 - vU_[299]) * vU_[180] + (0 - vU_[292]) * vU_[184];
+ vU_[295] = (0 - (vU_[293] * vU_[41] + vU_[295] * vU_[298]) + vU_[296] * vU_[227] + (0 - vU_[300]) * vU_[168] +
+ (0 - vU_[299]) * vU_[153] + (0 - vU_[292]) * vU_[228] + (0 - vU_[303]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[303] = (vU_[303] + (0 - vU_[295]) * vU_[202]) * 1 / vU_[75];
+ vU_[292] = (vU_[292] + (0 - vU_[295]) * vU_[120] + (0 - vU_[303]) * vU_[189]) * 1 / vU_[170];
+ vU_[299] =
+ (vU_[299] + (0 - vU_[295]) * vU_[185] + (0 - vU_[303]) * vU_[169] + (0 - vU_[292]) * vU_[45]) * 1 / vU_[175];
+ vU_[293] = vU_[292] * -1 + vU_[299] * 0.207;
+ vU_[300] = (vU_[300] + (0 - vU_[295]) * vU_[182] + (0 - vU_[303]) * vU_[165] + (0 - vU_[292]) * vU_[72] +
+ (0 - vU_[299]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[296] = (0 - vU_[296] + (0 - vU_[295]) * vU_[162] + (0 - vU_[303]) * vU_[178] + (0 - vU_[292]) * vU_[25] +
+ (0 - vU_[299]) * vU_[187] + (0 - vU_[300]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[304] =
+ vU_[295] * vU_[71] + vU_[303] * vU_[102] + vU_[299] * vU_[54] + vU_[300] * vU_[143] + vU_[296] * vU_[144];
+ vU_[305] = vU_[296] * -1;
+ vU_[306] = vU_[299] * vU_[186] + vU_[300] * vU_[223];
+ vU_[307] = vU_[299] * vU_[223] + vU_[300] * vU_[112];
+ jac[30] =
+ vU_[293] * 1 / vU_[158] * vU_[179] +
+ (vU_[295] * vU_[186] + vU_[303] * vU_[207] + vU_[299] * vU_[224] + vU_[300] * vU_[124] + vU_[296] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[304] * 1 / vU_[158] * vU_[157] + vU_[305] * 1 / vU_[158] * vU_[158] + vU_[306] * 1 / vU_[158] * vU_[107] +
+ vU_[307] * 1 / vU_[158] * vU_[159];
+ vU_[308] = 1 / vU_[11];
+ vU_[309] = (0 - vU_[308]) * vU_[18];
+ vU_[310] = (0 - vU_[308]) * vU_[20];
+ vU_[311] = (0 - vU_[308]) * 2.1e-05;
+ vU_[312] = (0 - vU_[308]) * -0.000102;
+ vU_[313] = vU_[311] * vU_[21] + vU_[312] * vU_[3];
+ vU_[314] = vU_[313] * 1 / vU_[15];
+ vU_[315] = vU_[309] * vU_[21] + vU_[310] * vU_[3] + (0 - vU_[314]) * vU_[31];
+ vU_[316] = (0 - vU_[314]) * vU_[43];
+ vU_[317] = 0 - vU_[3];
+ vU_[318] = vU_[309] * vU_[317] + vU_[310] * vU_[21] + (0 - vU_[314]) * vU_[32];
+ vU_[313] = vU_[316] * vU_[294] + vU_[318] * vU_[1] + (vU_[313] + (0 - vU_[314]) * vU_[15]) * -1;
+ vU_[319] = -0.08 * vU_[21];
+ vU_[310] = vU_[309] * vU_[319] + vU_[310] * vU_[29] + (0 - vU_[308]) * vU_[11] * -1 + (0 - vU_[314]) * vU_[59];
+ vU_[312] = vU_[311] * vU_[24] + vU_[312] * vU_[21] + (0 - vU_[314]) * vU_[16];
+ vU_[311] =
+ 0 - (vU_[316] * vU_[76] + vU_[318] * vU_[297] + vU_[310] * vU_[205] + vU_[312] * vU_[64]) + vU_[313] * vU_[36];
+ vU_[312] =
+ 0 - (vU_[315] * 0.207 + vU_[316] * vU_[206] + vU_[318] * vU_[301] + vU_[310] * vU_[41] + vU_[312] * vU_[205]) +
+ vU_[313] * vU_[190] + (0 - vU_[311]) * vU_[225];
+ vU_[315] = 0 - vU_[315] * -1 + vU_[313] * vU_[231] + (0 - vU_[311]) * vU_[12] + (0 - vU_[312]) * vU_[123];
+ vU_[310] = 0 - (vU_[316] * vU_[0] + vU_[318] * vU_[302]) + vU_[313] * vU_[226] + (0 - vU_[311]) * vU_[151] +
+ (0 - vU_[312]) * vU_[180] + (0 - vU_[315]) * vU_[184];
+ vU_[318] = (0 - (vU_[316] * vU_[41] + vU_[318] * vU_[298]) + vU_[313] * vU_[227] + (0 - vU_[311]) * vU_[168] +
+ (0 - vU_[312]) * vU_[153] + (0 - vU_[315]) * vU_[228] + (0 - vU_[310]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[310] = (vU_[310] + (0 - vU_[318]) * vU_[202]) * 1 / vU_[75];
+ vU_[315] = (vU_[315] + (0 - vU_[318]) * vU_[120] + (0 - vU_[310]) * vU_[189]) * 1 / vU_[170];
+ vU_[312] =
+ (vU_[312] + (0 - vU_[318]) * vU_[185] + (0 - vU_[310]) * vU_[169] + (0 - vU_[315]) * vU_[45]) * 1 / vU_[175];
+ vU_[316] = vU_[315] * -1 + vU_[312] * 0.207;
+ vU_[311] = (vU_[311] + (0 - vU_[318]) * vU_[182] + (0 - vU_[310]) * vU_[165] + (0 - vU_[315]) * vU_[72] +
+ (0 - vU_[312]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[313] = (0 - vU_[313] + (0 - vU_[318]) * vU_[162] + (0 - vU_[310]) * vU_[178] + (0 - vU_[315]) * vU_[25] +
+ (0 - vU_[312]) * vU_[187] + (0 - vU_[311]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[309] =
+ vU_[318] * vU_[71] + vU_[310] * vU_[102] + vU_[312] * vU_[54] + vU_[311] * vU_[143] + vU_[313] * vU_[144];
+ vU_[320] = vU_[313] * -1;
+ vU_[321] = vU_[312] * vU_[186] + vU_[311] * vU_[223];
+ vU_[322] = vU_[312] * vU_[223] + vU_[311] * vU_[112];
+ jac[31] =
+ vU_[316] * 1 / vU_[158] * vU_[179] +
+ (vU_[318] * vU_[186] + vU_[310] * vU_[207] + vU_[312] * vU_[224] + vU_[311] * vU_[124] + vU_[313] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[309] * 1 / vU_[158] * vU_[157] + vU_[320] * 1 / vU_[158] * vU_[158] + vU_[321] * 1 / vU_[158] * vU_[107] +
+ vU_[322] * 1 / vU_[158] * vU_[159];
+ vU_[323] = 0.35 * vU_[5];
+ vU_[324] = -1. + -4.20629464115198 * vU_[323] + -0.0336503571292158 * vU_[9];
+ vU_[325] = vU_[324] * 1 / vU_[11];
+ vU_[326] = -4.20629464115198 * vU_[5] + -0.0336503571292158 * vU_[4] + (0 - vU_[325]) * vU_[18];
+ vU_[327] = 0 - vU_[4];
+ vU_[328] = -4.20629464115198 * vU_[327] + -0.0336503571292158 * vU_[5] + (0 - vU_[325]) * vU_[20];
+ vU_[329] = (0 - vU_[325]) * 2.1e-05;
+ vU_[330] = (0 - vU_[325]) * -0.000102;
+ vU_[331] = vU_[329] * vU_[21] + vU_[330] * vU_[3];
+ vU_[332] = vU_[331] * 1 / vU_[15];
+ vU_[333] = vU_[326] * vU_[21] + vU_[328] * vU_[3] + (0 - vU_[332]) * vU_[31];
+ vU_[334] = (0 - vU_[332]) * vU_[43];
+ vU_[335] = vU_[326] * vU_[317] + vU_[328] * vU_[21] + (0 - vU_[332]) * vU_[32];
+ vU_[331] = vU_[334] * vU_[294] + vU_[335] * vU_[1] + (vU_[331] + (0 - vU_[332]) * vU_[15]) * -1;
+ vU_[328] = vU_[326] * vU_[319] + vU_[328] * vU_[29] + (vU_[324] + (0 - vU_[325]) * vU_[11]) * -1 +
+ (0 - vU_[332]) * vU_[59];
+ vU_[330] = vU_[329] * vU_[24] + vU_[330] * vU_[21] + (0 - vU_[332]) * vU_[16];
+ vU_[329] =
+ 0 - (vU_[334] * vU_[76] + vU_[335] * vU_[297] + vU_[328] * vU_[205] + vU_[330] * vU_[64]) + vU_[331] * vU_[36];
+ vU_[330] =
+ 0 - (vU_[333] * 0.207 + vU_[334] * vU_[206] + vU_[335] * vU_[301] + vU_[328] * vU_[41] + vU_[330] * vU_[205]) +
+ vU_[331] * vU_[190] + (0 - vU_[329]) * vU_[225];
+ vU_[333] = 0 - vU_[333] * -1 + vU_[331] * vU_[231] + (0 - vU_[329]) * vU_[12] + (0 - vU_[330]) * vU_[123];
+ vU_[328] = 0 - (vU_[334] * vU_[0] + vU_[335] * vU_[302]) + vU_[331] * vU_[226] + (0 - vU_[329]) * vU_[151] +
+ (0 - vU_[330]) * vU_[180] + (0 - vU_[333]) * vU_[184];
+ vU_[335] = (0 - (vU_[334] * vU_[41] + vU_[335] * vU_[298]) + vU_[331] * vU_[227] + (0 - vU_[329]) * vU_[168] +
+ (0 - vU_[330]) * vU_[153] + (0 - vU_[333]) * vU_[228] + (0 - vU_[328]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[328] = (vU_[328] + (0 - vU_[335]) * vU_[202]) * 1 / vU_[75];
+ vU_[333] = (vU_[333] + (0 - vU_[335]) * vU_[120] + (0 - vU_[328]) * vU_[189]) * 1 / vU_[170];
+ vU_[330] =
+ (vU_[330] + (0 - vU_[335]) * vU_[185] + (0 - vU_[328]) * vU_[169] + (0 - vU_[333]) * vU_[45]) * 1 / vU_[175];
+ vU_[334] = vU_[333] * -1 + vU_[330] * 0.207;
+ vU_[329] = (vU_[329] + (0 - vU_[335]) * vU_[182] + (0 - vU_[328]) * vU_[165] + (0 - vU_[333]) * vU_[72] +
+ (0 - vU_[330]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[331] = (0 - vU_[331] + (0 - vU_[335]) * vU_[162] + (0 - vU_[328]) * vU_[178] + (0 - vU_[333]) * vU_[25] +
+ (0 - vU_[330]) * vU_[187] + (0 - vU_[329]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[326] =
+ vU_[335] * vU_[71] + vU_[328] * vU_[102] + vU_[330] * vU_[54] + vU_[329] * vU_[143] + vU_[331] * vU_[144];
+ vU_[324] = vU_[331] * -1;
+ vU_[336] = vU_[330] * vU_[186] + vU_[329] * vU_[223];
+ vU_[337] = vU_[330] * vU_[223] + vU_[329] * vU_[112];
+ jac[32] =
+ vU_[334] * 1 / vU_[158] * vU_[179] +
+ (vU_[335] * vU_[186] + vU_[328] * vU_[207] + vU_[330] * vU_[224] + vU_[329] * vU_[124] + vU_[331] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[326] * 1 / vU_[158] * vU_[157] + vU_[324] * 1 / vU_[158] * vU_[158] + vU_[336] * 1 / vU_[158] * vU_[107] +
+ vU_[337] * 1 / vU_[158] * vU_[159];
+ vU_[338] = 1 / vU_[62];
+ vU_[339] = (0 - vU_[338]) * vU_[83];
+ vU_[340] = (0 - vU_[338]) * vU_[91];
+ vU_[341] = -0.207 * vU_[89];
+ vU_[342] = (0 - vU_[338]) * vU_[61];
+ vU_[343] = (0 - vU_[338]) * vU_[62] + vU_[340] * vU_[341] + vU_[342] * vU_[48];
+ vU_[344] = -0.3735 * vU_[47];
+ vU_[345] = (0 - vU_[338]) * vU_[193];
+ vU_[346] = (0 - vU_[338]) * vU_[63];
+ vU_[347] =
+ 0 - (vU_[340] * vU_[195] + vU_[342] * vU_[344] + vU_[345] * vU_[47] + vU_[346] * vU_[89]) + vU_[343] * vU_[36];
+ vU_[348] = -0.3735 * vU_[89];
+ vU_[346] =
+ 0 - (vU_[339] * 0.207 + vU_[340] * vU_[197] + vU_[342] * vU_[348] + vU_[345] * vU_[89] + vU_[346] * vU_[196]) +
+ vU_[343] * vU_[190] + (0 - vU_[347]) * vU_[225];
+ vU_[339] = 0 - vU_[339] + vU_[343] * vU_[231] + (0 - vU_[347]) * vU_[12] + (0 - vU_[346]) * vU_[123];
+ vU_[345] = 0 - vU_[47];
+ vU_[349] = 0 - (vU_[340] * vU_[47] + vU_[342] * vU_[89]) + vU_[343] * vU_[226] + (0 - vU_[347]) * vU_[151] +
+ (0 - vU_[346]) * vU_[180] + (0 - vU_[339]) * vU_[184];
+ vU_[342] = (0 - (vU_[340] * vU_[89] + vU_[342] * vU_[345]) + vU_[343] * vU_[227] + (0 - vU_[347]) * vU_[168] +
+ (0 - vU_[346]) * vU_[153] + (0 - vU_[339]) * vU_[228] + (0 - vU_[349]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[349] = (vU_[349] + (0 - vU_[342]) * vU_[202]) * 1 / vU_[75];
+ vU_[339] = (vU_[339] + (0 - vU_[342]) * vU_[120] + (0 - vU_[349]) * vU_[189]) * 1 / vU_[170];
+ vU_[346] =
+ (vU_[346] + (0 - vU_[342]) * vU_[185] + (0 - vU_[349]) * vU_[169] + (0 - vU_[339]) * vU_[45]) * 1 / vU_[175];
+ vU_[340] = vU_[339] * -1 + vU_[346] * 0.207;
+ vU_[347] = (vU_[347] + (0 - vU_[342]) * vU_[182] + (0 - vU_[349]) * vU_[165] + (0 - vU_[339]) * vU_[72] +
+ (0 - vU_[346]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[343] = (0 - vU_[343] + (0 - vU_[342]) * vU_[162] + (0 - vU_[349]) * vU_[178] + (0 - vU_[339]) * vU_[25] +
+ (0 - vU_[346]) * vU_[187] + (0 - vU_[347]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[350] =
+ vU_[342] * vU_[71] + vU_[349] * vU_[102] + vU_[346] * vU_[54] + vU_[347] * vU_[143] + vU_[343] * vU_[144];
+ vU_[351] = vU_[343] * -1;
+ vU_[352] = vU_[346] * vU_[186] + vU_[347] * vU_[223];
+ vU_[353] = vU_[346] * vU_[223] + vU_[347] * vU_[112];
+ jac[33] =
+ vU_[340] * 1 / vU_[158] * vU_[179] +
+ (vU_[342] * vU_[186] + vU_[349] * vU_[207] + vU_[346] * vU_[224] + vU_[347] * vU_[124] + vU_[343] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[350] * 1 / vU_[158] * vU_[157] + vU_[351] * 1 / vU_[158] * vU_[158] + vU_[352] * 1 / vU_[158] * vU_[107] +
+ vU_[353] * 1 / vU_[158] * vU_[159];
+ vU_[354] = 1 / vU_[58];
+ vU_[355] = (0 - vU_[354]) * vU_[65];
+ vU_[356] = 0 - vU_[68];
+ vU_[357] = (0 - vU_[354]) * vU_[67];
+ vU_[358] = 0 - vU_[49];
+ vU_[359] = (0 - vU_[354]) * vU_[77];
+ vU_[360] = (0 - vU_[354]) * vU_[81];
+ vU_[361] = vU_[359] * vU_[69] + vU_[360] * vU_[50];
+ vU_[362] = vU_[361] * 1 / vU_[62];
+ vU_[363] = vU_[355] * vU_[356] + vU_[357] * vU_[358] + (0 - vU_[362]) * vU_[83];
+ vU_[364] = (0 - vU_[362]) * vU_[91];
+ vU_[49] = 0 - vU_[49];
+ vU_[365] = vU_[355] * vU_[49] + vU_[357] * vU_[68] + (0 - vU_[362]) * vU_[61];
+ vU_[361] = vU_[361] + (0 - vU_[362]) * vU_[62] + vU_[364] * vU_[341] + vU_[365] * vU_[48];
+ vU_[366] = 0.08 * vU_[68];
+ vU_[357] = (0 - vU_[354]) * vU_[58] + vU_[355] * vU_[366] + vU_[357] * vU_[80] + (0 - vU_[362]) * vU_[193];
+ vU_[360] = vU_[359] * vU_[50] + vU_[360] * vU_[68] + (0 - vU_[362]) * vU_[63];
+ vU_[359] =
+ 0 - (vU_[364] * vU_[195] + vU_[365] * vU_[344] + vU_[357] * vU_[47] + vU_[360] * vU_[89]) + vU_[361] * vU_[36];
+ vU_[360] =
+ 0 - (vU_[363] * 0.207 + vU_[364] * vU_[197] + vU_[365] * vU_[348] + vU_[357] * vU_[89] + vU_[360] * vU_[196]) +
+ vU_[361] * vU_[190] + (0 - vU_[359]) * vU_[225];
+ vU_[363] = 0 - vU_[363] + vU_[361] * vU_[231] + (0 - vU_[359]) * vU_[12] + (0 - vU_[360]) * vU_[123];
+ vU_[357] = 0 - (vU_[364] * vU_[47] + vU_[365] * vU_[89]) + vU_[361] * vU_[226] + (0 - vU_[359]) * vU_[151] +
+ (0 - vU_[360]) * vU_[180] + (0 - vU_[363]) * vU_[184];
+ vU_[365] = (0 - (vU_[364] * vU_[89] + vU_[365] * vU_[345]) + vU_[361] * vU_[227] + (0 - vU_[359]) * vU_[168] +
+ (0 - vU_[360]) * vU_[153] + (0 - vU_[363]) * vU_[228] + (0 - vU_[357]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[357] = (vU_[357] + (0 - vU_[365]) * vU_[202]) * 1 / vU_[75];
+ vU_[363] = (vU_[363] + (0 - vU_[365]) * vU_[120] + (0 - vU_[357]) * vU_[189]) * 1 / vU_[170];
+ vU_[360] =
+ (vU_[360] + (0 - vU_[365]) * vU_[185] + (0 - vU_[357]) * vU_[169] + (0 - vU_[363]) * vU_[45]) * 1 / vU_[175];
+ vU_[364] = vU_[363] * -1 + vU_[360] * 0.207;
+ vU_[359] = (vU_[359] + (0 - vU_[365]) * vU_[182] + (0 - vU_[357]) * vU_[165] + (0 - vU_[363]) * vU_[72] +
+ (0 - vU_[360]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[361] = (0 - vU_[361] + (0 - vU_[365]) * vU_[162] + (0 - vU_[357]) * vU_[178] + (0 - vU_[363]) * vU_[25] +
+ (0 - vU_[360]) * vU_[187] + (0 - vU_[359]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[355] =
+ vU_[365] * vU_[71] + vU_[357] * vU_[102] + vU_[360] * vU_[54] + vU_[359] * vU_[143] + vU_[361] * vU_[144];
+ vU_[367] = vU_[361] * -1;
+ vU_[368] = vU_[360] * vU_[186] + vU_[359] * vU_[223];
+ vU_[369] = vU_[360] * vU_[223] + vU_[359] * vU_[112];
+ jac[34] =
+ vU_[364] * 1 / vU_[158] * vU_[179] +
+ (vU_[365] * vU_[186] + vU_[357] * vU_[207] + vU_[360] * vU_[224] + vU_[359] * vU_[124] + vU_[361] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[355] * 1 / vU_[158] * vU_[157] + vU_[367] * 1 / vU_[158] * vU_[158] + vU_[368] * 1 / vU_[158] * vU_[107] +
+ vU_[369] * 1 / vU_[158] * vU_[159];
+ vU_[370] = 0.35 * vU_[52];
+ vU_[371] = -1. + -4.21975478400367 * vU_[370] + -0.0168251785646079 * vU_[56];
+ vU_[372] = vU_[371] * 1 / vU_[58];
+ vU_[373] = -4.21975478400367 * vU_[52] + -0.0168251785646079 * vU_[51] + (0 - vU_[372]) * vU_[65];
+ vU_[374] = 0 - vU_[51];
+ vU_[375] = -4.21975478400367 * vU_[374] + -0.0168251785646079 * vU_[52] + (0 - vU_[372]) * vU_[67];
+ vU_[376] = (0 - vU_[372]) * vU_[77];
+ vU_[377] = (0 - vU_[372]) * vU_[81];
+ vU_[378] = vU_[376] * vU_[69] + vU_[377] * vU_[50];
+ vU_[379] = vU_[378] * 1 / vU_[62];
+ vU_[380] = vU_[373] * vU_[356] + vU_[375] * vU_[358] + (0 - vU_[379]) * vU_[83];
+ vU_[381] = (0 - vU_[379]) * vU_[91];
+ vU_[382] = vU_[373] * vU_[49] + vU_[375] * vU_[68] + (0 - vU_[379]) * vU_[61];
+ vU_[378] = vU_[378] + (0 - vU_[379]) * vU_[62] + vU_[381] * vU_[341] + vU_[382] * vU_[48];
+ vU_[375] =
+ vU_[371] + (0 - vU_[372]) * vU_[58] + vU_[373] * vU_[366] + vU_[375] * vU_[80] + (0 - vU_[379]) * vU_[193];
+ vU_[377] = vU_[376] * vU_[50] + vU_[377] * vU_[68] + (0 - vU_[379]) * vU_[63];
+ vU_[36] =
+ 0 - (vU_[381] * vU_[195] + vU_[382] * vU_[344] + vU_[375] * vU_[47] + vU_[377] * vU_[89]) + vU_[378] * vU_[36];
+ vU_[377] =
+ 0 - (vU_[380] * 0.207 + vU_[381] * vU_[197] + vU_[382] * vU_[348] + vU_[375] * vU_[89] + vU_[377] * vU_[196]) +
+ vU_[378] * vU_[190] + (0 - vU_[36]) * vU_[225];
+ vU_[380] = 0 - vU_[380] + vU_[378] * vU_[231] + (0 - vU_[36]) * vU_[12] + (0 - vU_[377]) * vU_[123];
+ vU_[184] = 0 - (vU_[381] * vU_[47] + vU_[382] * vU_[89]) + vU_[378] * vU_[226] + (0 - vU_[36]) * vU_[151] +
+ (0 - vU_[377]) * vU_[180] + (0 - vU_[380]) * vU_[184];
+ vU_[382] = (0 - (vU_[381] * vU_[89] + vU_[382] * vU_[345]) + vU_[378] * vU_[227] + (0 - vU_[36]) * vU_[168] +
+ (0 - vU_[377]) * vU_[153] + (0 - vU_[380]) * vU_[228] + (0 - vU_[184]) * vU_[211]) *
+ 1 / vU_[230];
+ vU_[184] = (vU_[184] + (0 - vU_[382]) * vU_[202]) * 1 / vU_[75];
+ vU_[380] = (vU_[380] + (0 - vU_[382]) * vU_[120] + (0 - vU_[184]) * vU_[189]) * 1 / vU_[170];
+ vU_[377] =
+ (vU_[377] + (0 - vU_[382]) * vU_[185] + (0 - vU_[184]) * vU_[169] + (0 - vU_[380]) * vU_[45]) * 1 / vU_[175];
+ vU_[185] = vU_[380] * -1 + vU_[377] * 0.207;
+ vU_[36] = (vU_[36] + (0 - vU_[382]) * vU_[182] + (0 - vU_[184]) * vU_[165] + (0 - vU_[380]) * vU_[72] +
+ (0 - vU_[377]) * vU_[127]) *
+ 1 / vU_[171];
+ vU_[378] = (0 - vU_[378] + (0 - vU_[382]) * vU_[162] + (0 - vU_[184]) * vU_[178] + (0 - vU_[380]) * vU_[25] +
+ (0 - vU_[377]) * vU_[187] + (0 - vU_[36]) * vU_[145]) *
+ 1 / vU_[181];
+ vU_[143] = vU_[382] * vU_[71] + vU_[184] * vU_[102] + vU_[377] * vU_[54] + vU_[36] * vU_[143] + vU_[378] * vU_[144];
+ vU_[54] = vU_[378] * -1;
+ vU_[102] = vU_[377] * vU_[186] + vU_[36] * vU_[223];
+ vU_[223] = vU_[377] * vU_[223] + vU_[36] * vU_[112];
+ jac[35] =
+ vU_[185] * 1 / vU_[158] * vU_[179] +
+ (vU_[382] * vU_[186] + vU_[184] * vU_[207] + vU_[377] * vU_[224] + vU_[36] * vU_[124] + vU_[378] * vU_[23]) *
+ 1 / vU_[158] * vU_[188] +
+ vU_[143] * 1 / vU_[158] * vU_[157] + vU_[54] * 1 / vU_[158] * vU_[158] + vU_[102] * 1 / vU_[158] * vU_[107] +
+ vU_[223] * 1 / vU_[158] * vU_[159];
+ vU_[23] = vU_[220] * vU_[164] + vU_[229] * vU_[13] + vU_[57] * vU_[60];
+ vU_[229] = vU_[220] * vU_[146] + vU_[229] * vU_[164] + vU_[57] * vU_[176];
+ vU_[57] = vU_[57] * -1;
+ vU_[10] = vU_[10] - jac[18];
+ jac[54] = vU_[23] * 1 / vU_[154] * vU_[161] + vU_[229] * 1 / vU_[154] * vU_[163] +
+ vU_[57] * 1 / vU_[154] * vU_[154] + (vU_[10] * vU_[164] + vU_[105] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[10] * vU_[146] + vU_[105] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[10] = vU_[37] * vU_[164] + vU_[19] * vU_[13] + vU_[218] * vU_[60];
+ vU_[19] = vU_[37] * vU_[146] + vU_[19] * vU_[164] + vU_[218] * vU_[176];
+ vU_[218] = vU_[218] * -1;
+ vU_[66] = vU_[66] - jac[19];
+ jac[55] = vU_[10] * 1 / vU_[154] * vU_[161] + vU_[19] * 1 / vU_[154] * vU_[163] +
+ vU_[218] * 1 / vU_[154] * vU_[154] +
+ (vU_[66] * vU_[164] + vU_[194] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[66] * vU_[146] + vU_[194] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[66] = vU_[26] * vU_[164] + vU_[70] * vU_[13] + vU_[130] * vU_[60];
+ vU_[70] = vU_[26] * vU_[146] + vU_[70] * vU_[164] + vU_[130] * vU_[176];
+ vU_[130] = vU_[130] * -1;
+ vU_[22] = vU_[22] - jac[20];
+ jac[56] = vU_[66] * 1 / vU_[154] * vU_[161] + vU_[70] * 1 / vU_[154] * vU_[163] +
+ vU_[130] * 1 / vU_[154] * vU_[154] + (vU_[22] * vU_[164] + vU_[28] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[22] * vU_[146] + vU_[28] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[22] = vU_[7] * vU_[164] + vU_[132] * vU_[13] + vU_[84] * vU_[60];
+ vU_[132] = vU_[7] * vU_[146] + vU_[132] * vU_[164] + vU_[84] * vU_[176];
+ vU_[84] = vU_[84] * -1;
+ vU_[14] = vU_[14] - jac[21];
+ jac[57] = vU_[22] * 1 / vU_[154] * vU_[161] + vU_[132] * 1 / vU_[154] * vU_[163] +
+ vU_[84] * 1 / vU_[154] * vU_[154] + (vU_[14] * vU_[164] + vU_[191] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[14] * vU_[146] + vU_[191] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[14] = vU_[8] * vU_[164] + vU_[217] * vU_[13] + vU_[208] * vU_[60];
+ vU_[217] = vU_[8] * vU_[146] + vU_[217] * vU_[164] + vU_[208] * vU_[176];
+ vU_[208] = vU_[208] * -1;
+ vU_[134] = vU_[134] - jac[22];
+ jac[58] = vU_[14] * 1 / vU_[154] * vU_[161] + vU_[217] * 1 / vU_[154] * vU_[163] +
+ vU_[208] * 1 / vU_[154] * vU_[154] +
+ (vU_[134] * vU_[164] + vU_[38] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[134] * vU_[146] + vU_[38] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[134] = vU_[27] * vU_[164] + vU_[201] * vU_[13] + vU_[212] * vU_[60];
+ vU_[201] = vU_[27] * vU_[146] + vU_[201] * vU_[164] + vU_[212] * vU_[176];
+ vU_[212] = vU_[212] * -1;
+ vU_[221] = vU_[221] - jac[23];
+ jac[59] = vU_[134] * 1 / vU_[154] * vU_[161] + vU_[201] * 1 / vU_[154] * vU_[163] +
+ vU_[212] * 1 / vU_[154] * vU_[154] +
+ (vU_[221] * vU_[164] + vU_[203] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[221] * vU_[146] + vU_[203] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[221] = vU_[198] * vU_[164] + vU_[192] * vU_[13] + vU_[2] * vU_[60];
+ vU_[192] = vU_[198] * vU_[146] + vU_[192] * vU_[164] + vU_[2] * vU_[176];
+ vU_[2] = vU_[2] * -1;
+ vU_[222] = vU_[222] - jac[24];
+ jac[60] = vU_[221] * 1 / vU_[154] * vU_[161] + vU_[192] * 1 / vU_[154] * vU_[163] +
+ vU_[2] * 1 / vU_[154] * vU_[154] + (vU_[222] * vU_[164] + vU_[126] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[222] * vU_[146] + vU_[126] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[222] = vU_[6] * vU_[164] + vU_[156] * vU_[13] + vU_[174] * vU_[60];
+ vU_[156] = vU_[6] * vU_[146] + vU_[156] * vU_[164] + vU_[174] * vU_[176];
+ vU_[174] = vU_[174] * -1;
+ vU_[155] = vU_[155] - jac[25];
+ jac[61] = vU_[216] + vU_[222] * 1 / vU_[154] * vU_[161] + vU_[156] * 1 / vU_[154] * vU_[163] +
+ vU_[174] * 1 / vU_[154] * vU_[154] +
+ (vU_[155] * vU_[164] + vU_[160] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[155] * vU_[146] + vU_[160] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[155] = vU_[241] * vU_[164] + vU_[237] * vU_[13] + vU_[243] * vU_[60];
+ vU_[237] = vU_[241] * vU_[146] + vU_[237] * vU_[164] + vU_[243] * vU_[176];
+ vU_[243] = vU_[243] * -1;
+ vU_[172] = vU_[172] - jac[26];
+ jac[62] = vU_[232] + vU_[155] * 1 / vU_[154] * vU_[161] + vU_[237] * 1 / vU_[154] * vU_[163] +
+ vU_[243] * 1 / vU_[154] * vU_[154] +
+ (vU_[172] * vU_[164] + vU_[244] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[172] * vU_[146] + vU_[244] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[172] = vU_[246] * vU_[164] + vU_[256] * vU_[13] + vU_[258] * vU_[60];
+ vU_[256] = vU_[246] * vU_[146] + vU_[256] * vU_[164] + vU_[258] * vU_[176];
+ vU_[258] = vU_[258] * -1;
+ vU_[257] = vU_[257] - jac[27];
+ jac[63] = vU_[172] * 1 / vU_[154] * vU_[161] + vU_[256] * 1 / vU_[154] * vU_[163] +
+ vU_[258] * 1 / vU_[154] * vU_[154] +
+ (vU_[257] * vU_[164] + vU_[259] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[257] * vU_[146] + vU_[259] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[257] = vU_[270] * vU_[164] + vU_[261] * vU_[13] + vU_[274] * vU_[60];
+ vU_[261] = vU_[270] * vU_[146] + vU_[261] * vU_[164] + vU_[274] * vU_[176];
+ vU_[274] = vU_[274] * -1;
+ vU_[273] = vU_[273] - jac[28];
+ jac[64] = vU_[257] * 1 / vU_[154] * vU_[161] + vU_[261] * 1 / vU_[154] * vU_[163] +
+ vU_[274] * 1 / vU_[154] * vU_[154] +
+ (vU_[273] * vU_[164] + vU_[275] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[273] * vU_[146] + vU_[275] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[273] = vU_[287] * vU_[164] + vU_[279] * vU_[13] + vU_[289] * vU_[60];
+ vU_[279] = vU_[287] * vU_[146] + vU_[279] * vU_[164] + vU_[289] * vU_[176];
+ vU_[289] = vU_[289] * -1;
+ vU_[277] = vU_[277] - jac[29];
+ jac[65] = vU_[273] * 1 / vU_[154] * vU_[161] + vU_[279] * 1 / vU_[154] * vU_[163] +
+ vU_[289] * 1 / vU_[154] * vU_[154] +
+ (vU_[277] * vU_[164] + vU_[290] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[277] * vU_[146] + vU_[290] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[277] = vU_[293] * vU_[164] + vU_[304] * vU_[13] + vU_[306] * vU_[60];
+ vU_[304] = vU_[293] * vU_[146] + vU_[304] * vU_[164] + vU_[306] * vU_[176];
+ vU_[306] = vU_[306] * -1;
+ vU_[305] = vU_[305] - jac[30];
+ jac[66] = vU_[277] * 1 / vU_[154] * vU_[161] + vU_[304] * 1 / vU_[154] * vU_[163] +
+ vU_[306] * 1 / vU_[154] * vU_[154] +
+ (vU_[305] * vU_[164] + vU_[307] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[305] * vU_[146] + vU_[307] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[305] = vU_[316] * vU_[164] + vU_[309] * vU_[13] + vU_[321] * vU_[60];
+ vU_[309] = vU_[316] * vU_[146] + vU_[309] * vU_[164] + vU_[321] * vU_[176];
+ vU_[321] = vU_[321] * -1;
+ vU_[320] = vU_[320] - jac[31];
+ jac[67] = vU_[305] * 1 / vU_[154] * vU_[161] + vU_[309] * 1 / vU_[154] * vU_[163] +
+ vU_[321] * 1 / vU_[154] * vU_[154] +
+ (vU_[320] * vU_[164] + vU_[322] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[320] * vU_[146] + vU_[322] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[320] = vU_[334] * vU_[164] + vU_[326] * vU_[13] + vU_[336] * vU_[60];
+ vU_[326] = vU_[334] * vU_[146] + vU_[326] * vU_[164] + vU_[336] * vU_[176];
+ vU_[336] = vU_[336] * -1;
+ vU_[324] = vU_[324] - jac[32];
+ jac[68] = vU_[320] * 1 / vU_[154] * vU_[161] + vU_[326] * 1 / vU_[154] * vU_[163] +
+ vU_[336] * 1 / vU_[154] * vU_[154] +
+ (vU_[324] * vU_[164] + vU_[337] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[324] * vU_[146] + vU_[337] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[324] = vU_[340] * vU_[164] + vU_[350] * vU_[13] + vU_[352] * vU_[60];
+ vU_[350] = vU_[340] * vU_[146] + vU_[350] * vU_[164] + vU_[352] * vU_[176];
+ vU_[352] = vU_[352] * -1;
+ vU_[351] = vU_[351] - jac[33];
+ jac[69] = vU_[324] * 1 / vU_[154] * vU_[161] + vU_[350] * 1 / vU_[154] * vU_[163] +
+ vU_[352] * 1 / vU_[154] * vU_[154] +
+ (vU_[351] * vU_[164] + vU_[353] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[351] * vU_[146] + vU_[353] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[351] = vU_[364] * vU_[164] + vU_[355] * vU_[13] + vU_[368] * vU_[60];
+ vU_[355] = vU_[364] * vU_[146] + vU_[355] * vU_[164] + vU_[368] * vU_[176];
+ vU_[368] = vU_[368] * -1;
+ vU_[367] = vU_[367] - jac[34];
+ jac[70] = vU_[351] * 1 / vU_[154] * vU_[161] + vU_[355] * 1 / vU_[154] * vU_[163] +
+ vU_[368] * 1 / vU_[154] * vU_[154] +
+ (vU_[367] * vU_[164] + vU_[369] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[367] * vU_[146] + vU_[369] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[60] = vU_[185] * vU_[164] + vU_[143] * vU_[13] + vU_[102] * vU_[60];
+ vU_[143] = vU_[185] * vU_[146] + vU_[143] * vU_[164] + vU_[102] * vU_[176];
+ vU_[102] = vU_[102] * -1;
+ vU_[54] = vU_[54] - jac[35];
+ jac[71] = vU_[60] * 1 / vU_[154] * vU_[161] + vU_[143] * 1 / vU_[154] * vU_[163] +
+ vU_[102] * 1 / vU_[154] * vU_[154] +
+ (vU_[54] * vU_[164] + vU_[223] * vU_[167]) * 1 / vU_[154] * vU_[173] +
+ (vU_[54] * vU_[146] + vU_[223] * vU_[164]) * 1 / vU_[154] * vU_[177];
+ vU_[57] = vU_[57] - jac[54];
+ jac[90] = (vU_[23] * vU_[148] + vU_[229] * vU_[238] + vU_[57] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[23] * vU_[147] + vU_[229] * vU_[148] + vU_[57] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[57] * 38.1956380581338 * 0.026181;
+ vU_[218] = vU_[218] - jac[55];
+ jac[91] = (vU_[10] * vU_[148] + vU_[19] * vU_[238] + vU_[218] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[10] * vU_[147] + vU_[19] * vU_[148] + vU_[218] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[218] * 38.1956380581338 * 0.026181;
+ vU_[130] = vU_[130] - jac[56];
+ jac[92] = (vU_[66] * vU_[148] + vU_[70] * vU_[238] + vU_[130] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[66] * vU_[147] + vU_[70] * vU_[148] + vU_[130] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[130] * 38.1956380581338 * 0.026181;
+ vU_[84] = vU_[84] - jac[57];
+ jac[93] = (vU_[22] * vU_[148] + vU_[132] * vU_[238] + vU_[84] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[22] * vU_[147] + vU_[132] * vU_[148] + vU_[84] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[84] * 38.1956380581338 * 0.026181;
+ vU_[208] = vU_[208] - jac[58];
+ jac[94] = (vU_[14] * vU_[148] + vU_[217] * vU_[238] + vU_[208] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[14] * vU_[147] + vU_[217] * vU_[148] + vU_[208] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[208] * 38.1956380581338 * 0.026181;
+ vU_[212] = vU_[212] - jac[59];
+ jac[95] = (vU_[134] * vU_[148] + vU_[201] * vU_[238] + vU_[212] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[134] * vU_[147] + vU_[201] * vU_[148] + vU_[212] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[212] * 38.1956380581338 * 0.026181;
+ vU_[2] = vU_[2] - jac[60];
+ jac[96] = (vU_[221] * vU_[148] + vU_[192] * vU_[238] + vU_[2] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[221] * vU_[147] + vU_[192] * vU_[148] + vU_[2] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[2] * 38.1956380581338 * 0.026181;
+ vU_[174] = vU_[174] - jac[61];
+ jac[97] = (vU_[222] * vU_[148] + vU_[156] * vU_[238] + vU_[174] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[222] * vU_[147] + vU_[156] * vU_[148] + vU_[174] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[174] * 38.1956380581338 * 0.026181;
+ vU_[243] = vU_[243] - jac[62];
+ jac[98] = 38.1956380581338 +
+ (vU_[155] * vU_[148] + vU_[237] * vU_[238] + vU_[243] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[155] * vU_[147] + vU_[237] * vU_[148] + vU_[243] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[243] * 38.1956380581338 * 0.026181;
+ vU_[258] = vU_[258] - jac[63];
+ jac[99] = (vU_[172] * vU_[148] + vU_[256] * vU_[238] + vU_[258] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[172] * vU_[147] + vU_[256] * vU_[148] + vU_[258] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[258] * 38.1956380581338 * 0.026181;
+ vU_[274] = vU_[274] - jac[64];
+ jac[100] = (vU_[257] * vU_[148] + vU_[261] * vU_[238] + vU_[274] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[257] * vU_[147] + vU_[261] * vU_[148] + vU_[274] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[274] * 38.1956380581338 * 0.026181;
+ vU_[289] = vU_[289] - jac[65];
+ jac[101] = (vU_[273] * vU_[148] + vU_[279] * vU_[238] + vU_[289] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[273] * vU_[147] + vU_[279] * vU_[148] + vU_[289] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[289] * 38.1956380581338 * 0.026181;
+ vU_[306] = vU_[306] - jac[66];
+ jac[102] = (vU_[277] * vU_[148] + vU_[304] * vU_[238] + vU_[306] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[277] * vU_[147] + vU_[304] * vU_[148] + vU_[306] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[306] * 38.1956380581338 * 0.026181;
+ vU_[321] = vU_[321] - jac[67];
+ jac[103] = (vU_[305] * vU_[148] + vU_[309] * vU_[238] + vU_[321] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[305] * vU_[147] + vU_[309] * vU_[148] + vU_[321] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[321] * 38.1956380581338 * 0.026181;
+ vU_[336] = vU_[336] - jac[68];
+ jac[104] = (vU_[320] * vU_[148] + vU_[326] * vU_[238] + vU_[336] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[320] * vU_[147] + vU_[326] * vU_[148] + vU_[336] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[336] * 38.1956380581338 * 0.026181;
+ vU_[352] = vU_[352] - jac[69];
+ jac[105] = (vU_[324] * vU_[148] + vU_[350] * vU_[238] + vU_[352] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[324] * vU_[147] + vU_[350] * vU_[148] + vU_[352] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[352] * 38.1956380581338 * 0.026181;
+ vU_[368] = vU_[368] - jac[70];
+ jac[106] = (vU_[351] * vU_[148] + vU_[355] * vU_[238] + vU_[368] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[351] * vU_[147] + vU_[355] * vU_[148] + vU_[368] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[368] * 38.1956380581338 * 0.026181;
+ vU_[102] = vU_[102] - jac[71];
+ jac[107] = (vU_[60] * vU_[148] + vU_[143] * vU_[238] + vU_[102] * vU_[149]) * 38.1956380581338 * 0.1104774 +
+ (vU_[60] * vU_[147] + vU_[143] * vU_[148] + vU_[102] * vU_[152]) * 38.1956380581338 * -0.0004405 +
+ vU_[102] * 38.1956380581338 * 0.026181;
+ vU_[102] = vU_[34] + vU_[17] * 0.207;
+ vU_[143] =
+ vU_[200] * vU_[251] + vU_[135] * vU_[137] + vU_[17] * vU_[254] + vU_[166] * vU_[250] + vU_[119] * vU_[96];
+ vU_[60] = vU_[17] * vU_[137] + vU_[166] * vU_[95];
+ vU_[238] = vU_[17] * vU_[214] + vU_[166] * vU_[137];
+ jac[126] =
+ vU_[102] * 1 / vU_[110] * vU_[131] +
+ (vU_[200] * vU_[137] + vU_[135] * vU_[95] + vU_[17] * vU_[215] + vU_[166] * vU_[30] + vU_[119] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[143] * 1 / vU_[110] * vU_[109] + vU_[119] * 1 / vU_[110] * vU_[110] + vU_[60] * 1 / vU_[110] * vU_[35] +
+ vU_[238] * 1 / vU_[110] * vU_[111];
+ vU_[149] = vU_[136] + vU_[133] * 0.207;
+ vU_[152] = vU_[40] * vU_[251] + vU_[88] * vU_[137] + vU_[133] * vU_[254] + vU_[85] * vU_[250] + vU_[114] * vU_[96];
+ vU_[148] = vU_[133] * vU_[137] + vU_[85] * vU_[95];
+ vU_[147] = vU_[133] * vU_[214] + vU_[85] * vU_[137];
+ jac[127] =
+ vU_[149] * 1 / vU_[110] * vU_[131] +
+ (vU_[40] * vU_[137] + vU_[88] * vU_[95] + vU_[133] * vU_[215] + vU_[85] * vU_[30] + vU_[114] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[152] * 1 / vU_[110] * vU_[109] + vU_[114] * 1 / vU_[110] * vU_[110] + vU_[148] * 1 / vU_[110] * vU_[35] +
+ vU_[147] * 1 / vU_[110] * vU_[111];
+ vU_[368] = vU_[44] + vU_[121] * 0.207;
+ vU_[355] = vU_[92] * vU_[251] + vU_[140] * vU_[137] + vU_[121] * vU_[254] + vU_[73] * vU_[250] + vU_[118] * vU_[96];
+ vU_[351] = vU_[121] * vU_[137] + vU_[73] * vU_[95];
+ vU_[352] = vU_[121] * vU_[214] + vU_[73] * vU_[137];
+ jac[128] =
+ vU_[368] * 1 / vU_[110] * vU_[131] +
+ (vU_[92] * vU_[137] + vU_[140] * vU_[95] + vU_[121] * vU_[215] + vU_[73] * vU_[30] + vU_[118] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[355] * 1 / vU_[110] * vU_[109] + vU_[118] * 1 / vU_[110] * vU_[110] + vU_[351] * 1 / vU_[110] * vU_[35] +
+ vU_[352] * 1 / vU_[110] * vU_[111];
+ vU_[350] = vU_[209] + vU_[141] * 0.207;
+ vU_[324] = vU_[82] * vU_[251] + vU_[150] * vU_[137] + vU_[141] * vU_[254] + vU_[87] * vU_[250] + vU_[39] * vU_[96];
+ vU_[336] = vU_[141] * vU_[137] + vU_[87] * vU_[95];
+ vU_[326] = vU_[141] * vU_[214] + vU_[87] * vU_[137];
+ jac[129] =
+ vU_[350] * 1 / vU_[110] * vU_[131] +
+ (vU_[82] * vU_[137] + vU_[150] * vU_[95] + vU_[141] * vU_[215] + vU_[87] * vU_[30] + vU_[39] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[324] * 1 / vU_[110] * vU_[109] + vU_[39] * 1 / vU_[110] * vU_[110] + vU_[336] * 1 / vU_[110] * vU_[35] +
+ vU_[326] * 1 / vU_[110] * vU_[111];
+ vU_[320] = vU_[55] + vU_[94] * 0.207;
+ vU_[321] = vU_[103] * vU_[251] + vU_[142] * vU_[137] + vU_[94] * vU_[254] + vU_[46] * vU_[250] + vU_[183] * vU_[96];
+ vU_[309] = vU_[94] * vU_[137] + vU_[46] * vU_[95];
+ vU_[305] = vU_[94] * vU_[214] + vU_[46] * vU_[137];
+ jac[130] =
+ vU_[320] * 1 / vU_[110] * vU_[131] +
+ (vU_[103] * vU_[137] + vU_[142] * vU_[95] + vU_[94] * vU_[215] + vU_[46] * vU_[30] + vU_[183] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[321] * 1 / vU_[110] * vU_[109] + vU_[183] * 1 / vU_[110] * vU_[110] + vU_[309] * 1 / vU_[110] * vU_[35] +
+ vU_[305] * 1 / vU_[110] * vU_[111];
+ vU_[306] = vU_[122] + vU_[219] * 0.207;
+ vU_[304] = vU_[199] * vU_[251] + vU_[86] * vU_[137] + vU_[219] * vU_[254] + vU_[210] * vU_[250] + vU_[74] * vU_[96];
+ vU_[277] = vU_[219] * vU_[137] + vU_[210] * vU_[95];
+ vU_[289] = vU_[219] * vU_[214] + vU_[210] * vU_[137];
+ jac[131] =
+ vU_[306] * 1 / vU_[110] * vU_[131] +
+ (vU_[199] * vU_[137] + vU_[86] * vU_[95] + vU_[219] * vU_[215] + vU_[210] * vU_[30] + vU_[74] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[304] * 1 / vU_[110] * vU_[109] + vU_[74] * 1 / vU_[110] * vU_[110] + vU_[277] * 1 / vU_[110] * vU_[35] +
+ vU_[289] * 1 / vU_[110] * vU_[111];
+ vU_[279] = vU_[79] + vU_[93] * 0.207;
+ vU_[273] = vU_[138] * vU_[251] + vU_[90] * vU_[137] + vU_[93] * vU_[254] + vU_[33] * vU_[250] + vU_[42] * vU_[96];
+ vU_[274] = vU_[93] * vU_[137] + vU_[33] * vU_[95];
+ vU_[261] = vU_[93] * vU_[214] + vU_[33] * vU_[137];
+ jac[132] = vU_[279] * 1 / vU_[110] * vU_[131] +
+ (vU_[138] * vU_[137] + vU_[90] * vU_[95] + vU_[93] * vU_[215] + vU_[33] * vU_[30] + vU_[42] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[273] * 1 / vU_[110] * vU_[109] + vU_[42] * 1 / vU_[110] * vU_[110] +
+ vU_[274] * 1 / vU_[110] * vU_[35] + vU_[261] * 1 / vU_[110] * vU_[111];
+ vU_[257] = vU_[108] + vU_[78] * 0.207;
+ vU_[258] = vU_[53] * vU_[251] + vU_[101] * vU_[137] + vU_[78] * vU_[254] + vU_[213] * vU_[250] + vU_[204] * vU_[96];
+ vU_[256] = vU_[78] * vU_[137] + vU_[213] * vU_[95];
+ vU_[172] = vU_[78] * vU_[214] + vU_[213] * vU_[137];
+ jac[133] =
+ vU_[257] * 1 / vU_[110] * vU_[131] +
+ (vU_[53] * vU_[137] + vU_[101] * vU_[95] + vU_[78] * vU_[215] + vU_[213] * vU_[30] + vU_[204] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[258] * 1 / vU_[110] * vU_[109] + vU_[204] * 1 / vU_[110] * vU_[110] + vU_[256] * 1 / vU_[110] * vU_[35] +
+ vU_[172] * 1 / vU_[110] * vU_[111];
+ vU_[243] = vU_[240] + vU_[234] * 0.207;
+ vU_[237] =
+ vU_[242] * vU_[251] + vU_[239] * vU_[137] + vU_[234] * vU_[254] + vU_[233] * vU_[250] + vU_[235] * vU_[96];
+ vU_[155] = vU_[234] * vU_[137] + vU_[233] * vU_[95];
+ vU_[174] = vU_[234] * vU_[214] + vU_[233] * vU_[137];
+ jac[134] =
+ vU_[243] * 1 / vU_[110] * vU_[131] +
+ (vU_[242] * vU_[137] + vU_[239] * vU_[95] + vU_[234] * vU_[215] + vU_[233] * vU_[30] + vU_[235] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[237] * 1 / vU_[110] * vU_[109] + vU_[235] * 1 / vU_[110] * vU_[110] + vU_[155] * 1 / vU_[110] * vU_[35] +
+ vU_[174] * 1 / vU_[110] * vU_[111];
+ vU_[156] = vU_[245] + vU_[252] * 0.207;
+ vU_[222] =
+ vU_[248] * vU_[251] + vU_[255] * vU_[137] + vU_[252] * vU_[254] + vU_[253] * vU_[250] + vU_[249] * vU_[96];
+ vU_[2] = vU_[252] * vU_[137] + vU_[253] * vU_[95];
+ vU_[192] = vU_[252] * vU_[214] + vU_[253] * vU_[137];
+ jac[135] =
+ vU_[236] + vU_[156] * 1 / vU_[110] * vU_[131] +
+ (vU_[248] * vU_[137] + vU_[255] * vU_[95] + vU_[252] * vU_[215] + vU_[253] * vU_[30] + vU_[249] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[222] * 1 / vU_[110] * vU_[109] + vU_[249] * 1 / vU_[110] * vU_[110] + vU_[2] * 1 / vU_[110] * vU_[35] +
+ vU_[192] * 1 / vU_[110] * vU_[111];
+ vU_[236] = vU_[269] + vU_[266] * 0.207;
+ vU_[221] =
+ vU_[271] * vU_[251] + vU_[263] * vU_[137] + vU_[266] * vU_[254] + vU_[265] * vU_[250] + vU_[267] * vU_[96];
+ vU_[212] = vU_[266] * vU_[137] + vU_[265] * vU_[95];
+ vU_[201] = vU_[266] * vU_[214] + vU_[265] * vU_[137];
+ jac[136] =
+ vU_[268] + vU_[236] * 1 / vU_[110] * vU_[131] +
+ (vU_[271] * vU_[137] + vU_[263] * vU_[95] + vU_[266] * vU_[215] + vU_[265] * vU_[30] + vU_[267] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[221] * 1 / vU_[110] * vU_[109] + vU_[267] * 1 / vU_[110] * vU_[110] + vU_[212] * 1 / vU_[110] * vU_[35] +
+ vU_[201] * 1 / vU_[110] * vU_[111];
+ vU_[268] = vU_[286] + vU_[283] * 0.207;
+ vU_[134] =
+ vU_[288] * vU_[251] + vU_[281] * vU_[137] + vU_[283] * vU_[254] + vU_[282] * vU_[250] + vU_[284] * vU_[96];
+ vU_[208] = vU_[283] * vU_[137] + vU_[282] * vU_[95];
+ vU_[217] = vU_[283] * vU_[214] + vU_[282] * vU_[137];
+ jac[137] =
+ vU_[285] + vU_[268] * 1 / vU_[110] * vU_[131] +
+ (vU_[288] * vU_[137] + vU_[281] * vU_[95] + vU_[283] * vU_[215] + vU_[282] * vU_[30] + vU_[284] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[134] * 1 / vU_[110] * vU_[109] + vU_[284] * 1 / vU_[110] * vU_[110] + vU_[208] * 1 / vU_[110] * vU_[35] +
+ vU_[217] * 1 / vU_[110] * vU_[111];
+ vU_[285] = vU_[292] + vU_[299] * 0.207;
+ vU_[14] =
+ vU_[295] * vU_[251] + vU_[303] * vU_[137] + vU_[299] * vU_[254] + vU_[300] * vU_[250] + vU_[296] * vU_[96];
+ vU_[84] = vU_[299] * vU_[137] + vU_[300] * vU_[95];
+ vU_[132] = vU_[299] * vU_[214] + vU_[300] * vU_[137];
+ jac[138] =
+ vU_[285] * 1 / vU_[110] * vU_[131] +
+ (vU_[295] * vU_[137] + vU_[303] * vU_[95] + vU_[299] * vU_[215] + vU_[300] * vU_[30] + vU_[296] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[14] * 1 / vU_[110] * vU_[109] + vU_[296] * 1 / vU_[110] * vU_[110] + vU_[84] * 1 / vU_[110] * vU_[35] +
+ vU_[132] * 1 / vU_[110] * vU_[111];
+ vU_[22] = vU_[315] + vU_[312] * 0.207;
+ vU_[130] =
+ vU_[318] * vU_[251] + vU_[310] * vU_[137] + vU_[312] * vU_[254] + vU_[311] * vU_[250] + vU_[313] * vU_[96];
+ vU_[70] = vU_[312] * vU_[137] + vU_[311] * vU_[95];
+ vU_[66] = vU_[312] * vU_[214] + vU_[311] * vU_[137];
+ jac[139] =
+ vU_[22] * 1 / vU_[110] * vU_[131] +
+ (vU_[318] * vU_[137] + vU_[310] * vU_[95] + vU_[312] * vU_[215] + vU_[311] * vU_[30] + vU_[313] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[130] * 1 / vU_[110] * vU_[109] + vU_[313] * 1 / vU_[110] * vU_[110] + vU_[70] * 1 / vU_[110] * vU_[35] +
+ vU_[66] * 1 / vU_[110] * vU_[111];
+ vU_[218] = vU_[333] + vU_[330] * 0.207;
+ vU_[19] =
+ vU_[335] * vU_[251] + vU_[328] * vU_[137] + vU_[330] * vU_[254] + vU_[329] * vU_[250] + vU_[331] * vU_[96];
+ vU_[10] = vU_[330] * vU_[137] + vU_[329] * vU_[95];
+ vU_[57] = vU_[330] * vU_[214] + vU_[329] * vU_[137];
+ jac[140] =
+ vU_[218] * 1 / vU_[110] * vU_[131] +
+ (vU_[335] * vU_[137] + vU_[328] * vU_[95] + vU_[330] * vU_[215] + vU_[329] * vU_[30] + vU_[331] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[19] * 1 / vU_[110] * vU_[109] + vU_[331] * 1 / vU_[110] * vU_[110] + vU_[10] * 1 / vU_[110] * vU_[35] +
+ vU_[57] * 1 / vU_[110] * vU_[111];
+ vU_[229] = vU_[339] + vU_[346] * 0.207;
+ vU_[23] =
+ vU_[342] * vU_[251] + vU_[349] * vU_[137] + vU_[346] * vU_[254] + vU_[347] * vU_[250] + vU_[343] * vU_[96];
+ vU_[54] = vU_[346] * vU_[137] + vU_[347] * vU_[95];
+ vU_[223] = vU_[346] * vU_[214] + vU_[347] * vU_[137];
+ jac[141] =
+ vU_[229] * 1 / vU_[110] * vU_[131] +
+ (vU_[342] * vU_[137] + vU_[349] * vU_[95] + vU_[346] * vU_[215] + vU_[347] * vU_[30] + vU_[343] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[23] * 1 / vU_[110] * vU_[109] + vU_[343] * 1 / vU_[110] * vU_[110] + vU_[54] * 1 / vU_[110] * vU_[35] +
+ vU_[223] * 1 / vU_[110] * vU_[111];
+ vU_[173] = vU_[363] + vU_[360] * 0.207;
+ vU_[177] =
+ vU_[365] * vU_[251] + vU_[357] * vU_[137] + vU_[360] * vU_[254] + vU_[359] * vU_[250] + vU_[361] * vU_[96];
+ vU_[167] = vU_[360] * vU_[137] + vU_[359] * vU_[95];
+ vU_[164] = vU_[360] * vU_[214] + vU_[359] * vU_[137];
+ jac[142] =
+ vU_[173] * 1 / vU_[110] * vU_[131] +
+ (vU_[365] * vU_[137] + vU_[357] * vU_[95] + vU_[360] * vU_[215] + vU_[359] * vU_[30] + vU_[361] * vU_[247]) *
+ 1 / vU_[110] * vU_[139] +
+ vU_[177] * 1 / vU_[110] * vU_[109] + vU_[361] * 1 / vU_[110] * vU_[110] + vU_[167] * 1 / vU_[110] * vU_[35] +
+ vU_[164] * 1 / vU_[110] * vU_[111];
+ vU_[154] = vU_[380] + vU_[377] * 0.207;
+ vU_[251] =
+ vU_[382] * vU_[251] + vU_[184] * vU_[137] + vU_[377] * vU_[254] + vU_[36] * vU_[250] + vU_[378] * vU_[96];
+ vU_[254] = vU_[377] * vU_[137] + vU_[36] * vU_[95];
+ vU_[214] = vU_[377] * vU_[214] + vU_[36] * vU_[137];
+ jac[143] =
+ vU_[154] * 1 / vU_[110] * vU_[131] +
+ (vU_[382] * vU_[137] + vU_[184] * vU_[95] + vU_[377] * vU_[215] + vU_[36] * vU_[30] + vU_[378] * vU_[247]) * 1 /
+ vU_[110] * vU_[139] +
+ vU_[251] * 1 / vU_[110] * vU_[109] + vU_[378] * 1 / vU_[110] * vU_[110] + vU_[254] * 1 / vU_[110] * vU_[35] +
+ vU_[214] * 1 / vU_[110] * vU_[111];
+ vU_[247] = vU_[102] * vU_[262] + vU_[143] * vU_[97] + vU_[60] * vU_[272];
+ vU_[143] = vU_[102] * vU_[264] + vU_[143] * vU_[116] + vU_[60] * vU_[128];
+ vU_[102] = vU_[119] - jac[126];
+ jac[162] = vU_[247] * 1 / vU_[106] * vU_[113] + vU_[143] * 1 / vU_[106] * vU_[115] +
+ vU_[60] * 1 / vU_[106] * vU_[106] +
+ (vU_[102] * vU_[117] + vU_[238] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[102] * vU_[98] + vU_[238] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[102] = vU_[149] * vU_[262] + vU_[152] * vU_[97] + vU_[148] * vU_[272];
+ vU_[152] = vU_[149] * vU_[264] + vU_[152] * vU_[116] + vU_[148] * vU_[128];
+ vU_[149] = vU_[114] - jac[127];
+ jac[163] = vU_[102] * 1 / vU_[106] * vU_[113] + vU_[152] * 1 / vU_[106] * vU_[115] +
+ vU_[148] * 1 / vU_[106] * vU_[106] +
+ (vU_[149] * vU_[117] + vU_[147] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[149] * vU_[98] + vU_[147] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[149] = vU_[368] * vU_[262] + vU_[355] * vU_[97] + vU_[351] * vU_[272];
+ vU_[355] = vU_[368] * vU_[264] + vU_[355] * vU_[116] + vU_[351] * vU_[128];
+ vU_[368] = vU_[118] - jac[128];
+ jac[164] = vU_[149] * 1 / vU_[106] * vU_[113] + vU_[355] * 1 / vU_[106] * vU_[115] +
+ vU_[351] * 1 / vU_[106] * vU_[106] +
+ (vU_[368] * vU_[117] + vU_[352] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[368] * vU_[98] + vU_[352] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[368] = vU_[350] * vU_[262] + vU_[324] * vU_[97] + vU_[336] * vU_[272];
+ vU_[324] = vU_[350] * vU_[264] + vU_[324] * vU_[116] + vU_[336] * vU_[128];
+ vU_[350] = vU_[39] - jac[129];
+ jac[165] = vU_[368] * 1 / vU_[106] * vU_[113] + vU_[324] * 1 / vU_[106] * vU_[115] +
+ vU_[336] * 1 / vU_[106] * vU_[106] +
+ (vU_[350] * vU_[117] + vU_[326] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[350] * vU_[98] + vU_[326] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[350] = vU_[320] * vU_[262] + vU_[321] * vU_[97] + vU_[309] * vU_[272];
+ vU_[321] = vU_[320] * vU_[264] + vU_[321] * vU_[116] + vU_[309] * vU_[128];
+ vU_[320] = vU_[183] - jac[130];
+ jac[166] = vU_[350] * 1 / vU_[106] * vU_[113] + vU_[321] * 1 / vU_[106] * vU_[115] +
+ vU_[309] * 1 / vU_[106] * vU_[106] +
+ (vU_[320] * vU_[117] + vU_[305] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[320] * vU_[98] + vU_[305] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[320] = vU_[306] * vU_[262] + vU_[304] * vU_[97] + vU_[277] * vU_[272];
+ vU_[304] = vU_[306] * vU_[264] + vU_[304] * vU_[116] + vU_[277] * vU_[128];
+ vU_[306] = vU_[74] - jac[131];
+ jac[167] = vU_[320] * 1 / vU_[106] * vU_[113] + vU_[304] * 1 / vU_[106] * vU_[115] +
+ vU_[277] * 1 / vU_[106] * vU_[106] +
+ (vU_[306] * vU_[117] + vU_[289] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[306] * vU_[98] + vU_[289] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[306] = vU_[279] * vU_[262] + vU_[273] * vU_[97] + vU_[274] * vU_[272];
+ vU_[273] = vU_[279] * vU_[264] + vU_[273] * vU_[116] + vU_[274] * vU_[128];
+ vU_[279] = vU_[42] - jac[132];
+ jac[168] = vU_[306] * 1 / vU_[106] * vU_[113] + vU_[273] * 1 / vU_[106] * vU_[115] +
+ vU_[274] * 1 / vU_[106] * vU_[106] +
+ (vU_[279] * vU_[117] + vU_[261] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[279] * vU_[98] + vU_[261] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[279] = vU_[257] * vU_[262] + vU_[258] * vU_[97] + vU_[256] * vU_[272];
+ vU_[258] = vU_[257] * vU_[264] + vU_[258] * vU_[116] + vU_[256] * vU_[128];
+ vU_[257] = vU_[204] - jac[133];
+ jac[169] = vU_[279] * 1 / vU_[106] * vU_[113] + vU_[258] * 1 / vU_[106] * vU_[115] +
+ vU_[256] * 1 / vU_[106] * vU_[106] +
+ (vU_[257] * vU_[117] + vU_[172] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[257] * vU_[98] + vU_[172] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[257] = vU_[243] * vU_[262] + vU_[237] * vU_[97] + vU_[155] * vU_[272];
+ vU_[237] = vU_[243] * vU_[264] + vU_[237] * vU_[116] + vU_[155] * vU_[128];
+ vU_[243] = vU_[235] - jac[134];
+ jac[170] = vU_[257] * 1 / vU_[106] * vU_[113] + vU_[237] * 1 / vU_[106] * vU_[115] +
+ vU_[155] * 1 / vU_[106] * vU_[106] +
+ (vU_[243] * vU_[117] + vU_[174] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[243] * vU_[98] + vU_[174] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[243] = vU_[156] * vU_[262] + vU_[222] * vU_[97] + vU_[2] * vU_[272];
+ vU_[222] = vU_[156] * vU_[264] + vU_[222] * vU_[116] + vU_[2] * vU_[128];
+ vU_[156] = vU_[249] - jac[135];
+ jac[171] = vU_[243] * 1 / vU_[106] * vU_[113] + vU_[222] * 1 / vU_[106] * vU_[115] +
+ vU_[2] * 1 / vU_[106] * vU_[106] + (vU_[156] * vU_[117] + vU_[192] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[156] * vU_[98] + vU_[192] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[156] = vU_[236] * vU_[262] + vU_[221] * vU_[97] + vU_[212] * vU_[272];
+ vU_[221] = vU_[236] * vU_[264] + vU_[221] * vU_[116] + vU_[212] * vU_[128];
+ vU_[236] = vU_[267] - jac[136];
+ jac[172] = vU_[260] + vU_[156] * 1 / vU_[106] * vU_[113] + vU_[221] * 1 / vU_[106] * vU_[115] +
+ vU_[212] * 1 / vU_[106] * vU_[106] +
+ (vU_[236] * vU_[117] + vU_[201] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[236] * vU_[98] + vU_[201] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[236] = vU_[268] * vU_[262] + vU_[134] * vU_[97] + vU_[208] * vU_[272];
+ vU_[134] = vU_[268] * vU_[264] + vU_[134] * vU_[116] + vU_[208] * vU_[128];
+ vU_[268] = vU_[284] - jac[137];
+ jac[173] = vU_[278] + vU_[236] * 1 / vU_[106] * vU_[113] + vU_[134] * 1 / vU_[106] * vU_[115] +
+ vU_[208] * 1 / vU_[106] * vU_[106] +
+ (vU_[268] * vU_[117] + vU_[217] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[268] * vU_[98] + vU_[217] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[268] = vU_[285] * vU_[262] + vU_[14] * vU_[97] + vU_[84] * vU_[272];
+ vU_[14] = vU_[285] * vU_[264] + vU_[14] * vU_[116] + vU_[84] * vU_[128];
+ vU_[285] = vU_[296] - jac[138];
+ jac[174] = vU_[268] * 1 / vU_[106] * vU_[113] + vU_[14] * 1 / vU_[106] * vU_[115] +
+ vU_[84] * 1 / vU_[106] * vU_[106] +
+ (vU_[285] * vU_[117] + vU_[132] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[285] * vU_[98] + vU_[132] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[285] = vU_[22] * vU_[262] + vU_[130] * vU_[97] + vU_[70] * vU_[272];
+ vU_[130] = vU_[22] * vU_[264] + vU_[130] * vU_[116] + vU_[70] * vU_[128];
+ vU_[22] = vU_[313] - jac[139];
+ jac[175] = vU_[285] * 1 / vU_[106] * vU_[113] + vU_[130] * 1 / vU_[106] * vU_[115] +
+ vU_[70] * 1 / vU_[106] * vU_[106] + (vU_[22] * vU_[117] + vU_[66] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[22] * vU_[98] + vU_[66] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[22] = vU_[218] * vU_[262] + vU_[19] * vU_[97] + vU_[10] * vU_[272];
+ vU_[19] = vU_[218] * vU_[264] + vU_[19] * vU_[116] + vU_[10] * vU_[128];
+ vU_[218] = vU_[331] - jac[140];
+ jac[176] = vU_[22] * 1 / vU_[106] * vU_[113] + vU_[19] * 1 / vU_[106] * vU_[115] +
+ vU_[10] * 1 / vU_[106] * vU_[106] + (vU_[218] * vU_[117] + vU_[57] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[218] * vU_[98] + vU_[57] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[218] = vU_[229] * vU_[262] + vU_[23] * vU_[97] + vU_[54] * vU_[272];
+ vU_[23] = vU_[229] * vU_[264] + vU_[23] * vU_[116] + vU_[54] * vU_[128];
+ vU_[229] = vU_[343] - jac[141];
+ jac[177] = vU_[218] * 1 / vU_[106] * vU_[113] + vU_[23] * 1 / vU_[106] * vU_[115] +
+ vU_[54] * 1 / vU_[106] * vU_[106] +
+ (vU_[229] * vU_[117] + vU_[223] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[229] * vU_[98] + vU_[223] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[229] = vU_[173] * vU_[262] + vU_[177] * vU_[97] + vU_[167] * vU_[272];
+ vU_[177] = vU_[173] * vU_[264] + vU_[177] * vU_[116] + vU_[167] * vU_[128];
+ vU_[173] = vU_[361] - jac[142];
+ jac[178] = vU_[229] * 1 / vU_[106] * vU_[113] + vU_[177] * 1 / vU_[106] * vU_[115] +
+ vU_[167] * 1 / vU_[106] * vU_[106] +
+ (vU_[173] * vU_[117] + vU_[164] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[173] * vU_[98] + vU_[164] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[272] = vU_[154] * vU_[262] + vU_[251] * vU_[97] + vU_[254] * vU_[272];
+ vU_[251] = vU_[154] * vU_[264] + vU_[251] * vU_[116] + vU_[254] * vU_[128];
+ vU_[154] = vU_[378] - jac[143];
+ jac[179] = vU_[272] * 1 / vU_[106] * vU_[113] + vU_[251] * 1 / vU_[106] * vU_[115] +
+ vU_[254] * 1 / vU_[106] * vU_[106] +
+ (vU_[154] * vU_[117] + vU_[214] * vU_[98]) * 1 / vU_[106] * vU_[125] +
+ (vU_[154] * vU_[98] + vU_[214] * vU_[116]) * 1 / vU_[106] * vU_[129];
+ vU_[60] = vU_[60] - jac[162];
+ jac[198] = (vU_[247] * vU_[100] + vU_[143] * vU_[280] + vU_[60] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[247] * vU_[99] + vU_[143] * vU_[100] + vU_[60] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[60] * 38.1956380581338 * 0.026181;
+ vU_[148] = vU_[148] - jac[163];
+ jac[199] = (vU_[102] * vU_[100] + vU_[152] * vU_[280] + vU_[148] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[102] * vU_[99] + vU_[152] * vU_[100] + vU_[148] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[148] * 38.1956380581338 * 0.026181;
+ vU_[351] = vU_[351] - jac[164];
+ jac[200] = (vU_[149] * vU_[100] + vU_[355] * vU_[280] + vU_[351] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[149] * vU_[99] + vU_[355] * vU_[100] + vU_[351] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[351] * 38.1956380581338 * 0.026181;
+ vU_[336] = vU_[336] - jac[165];
+ jac[201] = (vU_[368] * vU_[100] + vU_[324] * vU_[280] + vU_[336] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[368] * vU_[99] + vU_[324] * vU_[100] + vU_[336] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[336] * 38.1956380581338 * 0.026181;
+ vU_[309] = vU_[309] - jac[166];
+ jac[202] = (vU_[350] * vU_[100] + vU_[321] * vU_[280] + vU_[309] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[350] * vU_[99] + vU_[321] * vU_[100] + vU_[309] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[309] * 38.1956380581338 * 0.026181;
+ vU_[277] = vU_[277] - jac[167];
+ jac[203] = (vU_[320] * vU_[100] + vU_[304] * vU_[280] + vU_[277] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[320] * vU_[99] + vU_[304] * vU_[100] + vU_[277] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[277] * 38.1956380581338 * 0.026181;
+ vU_[274] = vU_[274] - jac[168];
+ jac[204] = (vU_[306] * vU_[100] + vU_[273] * vU_[280] + vU_[274] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[306] * vU_[99] + vU_[273] * vU_[100] + vU_[274] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[274] * 38.1956380581338 * 0.026181;
+ vU_[256] = vU_[256] - jac[169];
+ jac[205] = (vU_[279] * vU_[100] + vU_[258] * vU_[280] + vU_[256] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[279] * vU_[99] + vU_[258] * vU_[100] + vU_[256] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[256] * 38.1956380581338 * 0.026181;
+ vU_[155] = vU_[155] - jac[170];
+ jac[206] = (vU_[257] * vU_[100] + vU_[237] * vU_[280] + vU_[155] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[257] * vU_[99] + vU_[237] * vU_[100] + vU_[155] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[155] * 38.1956380581338 * 0.026181;
+ vU_[2] = vU_[2] - jac[171];
+ jac[207] = (vU_[243] * vU_[100] + vU_[222] * vU_[280] + vU_[2] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[243] * vU_[99] + vU_[222] * vU_[100] + vU_[2] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[2] * 38.1956380581338 * 0.026181;
+ vU_[212] = vU_[212] - jac[172];
+ jac[208] = (vU_[156] * vU_[100] + vU_[221] * vU_[280] + vU_[212] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[156] * vU_[99] + vU_[221] * vU_[100] + vU_[212] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[212] * 38.1956380581338 * 0.026181;
+ vU_[208] = vU_[208] - jac[173];
+ jac[209] = 38.1956380581338 +
+ (vU_[236] * vU_[100] + vU_[134] * vU_[280] + vU_[208] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[236] * vU_[99] + vU_[134] * vU_[100] + vU_[208] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[208] * 38.1956380581338 * 0.026181;
+ vU_[84] = vU_[84] - jac[174];
+ jac[210] = (vU_[268] * vU_[100] + vU_[14] * vU_[280] + vU_[84] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[268] * vU_[99] + vU_[14] * vU_[100] + vU_[84] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[84] * 38.1956380581338 * 0.026181;
+ vU_[70] = vU_[70] - jac[175];
+ jac[211] = (vU_[285] * vU_[100] + vU_[130] * vU_[280] + vU_[70] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[285] * vU_[99] + vU_[130] * vU_[100] + vU_[70] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[70] * 38.1956380581338 * 0.026181;
+ vU_[10] = vU_[10] - jac[176];
+ jac[212] = (vU_[22] * vU_[100] + vU_[19] * vU_[280] + vU_[10] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[22] * vU_[99] + vU_[19] * vU_[100] + vU_[10] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[10] * 38.1956380581338 * 0.026181;
+ vU_[54] = vU_[54] - jac[177];
+ jac[213] = (vU_[218] * vU_[100] + vU_[23] * vU_[280] + vU_[54] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[218] * vU_[99] + vU_[23] * vU_[100] + vU_[54] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[54] * 38.1956380581338 * 0.026181;
+ vU_[167] = vU_[167] - jac[178];
+ jac[214] = (vU_[229] * vU_[100] + vU_[177] * vU_[280] + vU_[167] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[229] * vU_[99] + vU_[177] * vU_[100] + vU_[167] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[167] * 38.1956380581338 * 0.026181;
+ vU_[254] = vU_[254] - jac[179];
+ jac[215] = (vU_[272] * vU_[100] + vU_[251] * vU_[280] + vU_[254] * vU_[276]) * 38.1956380581338 * 0.1104774 +
+ (vU_[272] * vU_[99] + vU_[251] * vU_[100] + vU_[254] * vU_[104]) * 38.1956380581338 * -0.0004405 +
+ vU_[254] * 38.1956380581338 * 0.026181;
+ vU_[254] = vU_[34] * -1 + vU_[17] * 0.207;
+ vU_[251] = vU_[200] * vU_[298] + vU_[135] * vU_[302] + vU_[17] * vU_[301] + vU_[166] * vU_[297] + vU_[119] * vU_[1];
+ vU_[272] = vU_[119] * -1;
+ vU_[280] = vU_[17] * vU_[41] + vU_[166] * vU_[205];
+ vU_[276] = vU_[17] * vU_[205] + vU_[166] * vU_[64];
+ jac[234] =
+ vU_[254] * 1 / vU_[15] * vU_[31] +
+ (vU_[200] * vU_[41] + vU_[135] * vU_[0] + vU_[17] * vU_[206] + vU_[166] * vU_[76] + vU_[119] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[251] * 1 / vU_[15] * vU_[32] + vU_[272] * 1 / vU_[15] * vU_[15] + vU_[280] * 1 / vU_[15] * vU_[59] +
+ vU_[276] * 1 / vU_[15] * vU_[16];
+ vU_[104] = vU_[136] * -1 + vU_[133] * 0.207;
+ vU_[100] = vU_[40] * vU_[298] + vU_[88] * vU_[302] + vU_[133] * vU_[301] + vU_[85] * vU_[297] + vU_[114] * vU_[1];
+ vU_[99] = vU_[114] * -1;
+ vU_[167] = vU_[133] * vU_[41] + vU_[85] * vU_[205];
+ vU_[177] = vU_[133] * vU_[205] + vU_[85] * vU_[64];
+ jac[235] = vU_[104] * 1 / vU_[15] * vU_[31] +
+ (vU_[40] * vU_[41] + vU_[88] * vU_[0] + vU_[133] * vU_[206] + vU_[85] * vU_[76] + vU_[114] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[100] * 1 / vU_[15] * vU_[32] + vU_[99] * 1 / vU_[15] * vU_[15] + vU_[167] * 1 / vU_[15] * vU_[59] +
+ vU_[177] * 1 / vU_[15] * vU_[16];
+ vU_[229] = vU_[44] * -1 + vU_[121] * 0.207;
+ vU_[54] = vU_[92] * vU_[298] + vU_[140] * vU_[302] + vU_[121] * vU_[301] + vU_[73] * vU_[297] + vU_[118] * vU_[1];
+ vU_[23] = vU_[118] * -1;
+ vU_[218] = vU_[121] * vU_[41] + vU_[73] * vU_[205];
+ vU_[10] = vU_[121] * vU_[205] + vU_[73] * vU_[64];
+ jac[236] = vU_[229] * 1 / vU_[15] * vU_[31] +
+ (vU_[92] * vU_[41] + vU_[140] * vU_[0] + vU_[121] * vU_[206] + vU_[73] * vU_[76] + vU_[118] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[54] * 1 / vU_[15] * vU_[32] + vU_[23] * 1 / vU_[15] * vU_[15] + vU_[218] * 1 / vU_[15] * vU_[59] +
+ vU_[10] * 1 / vU_[15] * vU_[16];
+ vU_[19] = vU_[209] * -1 + vU_[141] * 0.207;
+ vU_[22] = vU_[82] * vU_[298] + vU_[150] * vU_[302] + vU_[141] * vU_[301] + vU_[87] * vU_[297] + vU_[39] * vU_[1];
+ vU_[70] = vU_[39] * -1;
+ vU_[130] = vU_[141] * vU_[41] + vU_[87] * vU_[205];
+ vU_[285] = vU_[141] * vU_[205] + vU_[87] * vU_[64];
+ jac[237] = vU_[19] * 1 / vU_[15] * vU_[31] +
+ (vU_[82] * vU_[41] + vU_[150] * vU_[0] + vU_[141] * vU_[206] + vU_[87] * vU_[76] + vU_[39] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[22] * 1 / vU_[15] * vU_[32] + vU_[70] * 1 / vU_[15] * vU_[15] + vU_[130] * 1 / vU_[15] * vU_[59] +
+ vU_[285] * 1 / vU_[15] * vU_[16];
+ vU_[84] = vU_[55] * -1 + vU_[94] * 0.207;
+ vU_[14] = vU_[103] * vU_[298] + vU_[142] * vU_[302] + vU_[94] * vU_[301] + vU_[46] * vU_[297] + vU_[183] * vU_[1];
+ vU_[268] = vU_[183] * -1;
+ vU_[208] = vU_[94] * vU_[41] + vU_[46] * vU_[205];
+ vU_[134] = vU_[94] * vU_[205] + vU_[46] * vU_[64];
+ jac[238] = vU_[84] * 1 / vU_[15] * vU_[31] +
+ (vU_[103] * vU_[41] + vU_[142] * vU_[0] + vU_[94] * vU_[206] + vU_[46] * vU_[76] + vU_[183] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[14] * 1 / vU_[15] * vU_[32] + vU_[268] * 1 / vU_[15] * vU_[15] + vU_[208] * 1 / vU_[15] * vU_[59] +
+ vU_[134] * 1 / vU_[15] * vU_[16];
+ vU_[236] = vU_[122] * -1 + vU_[219] * 0.207;
+ vU_[212] = vU_[199] * vU_[298] + vU_[86] * vU_[302] + vU_[219] * vU_[301] + vU_[210] * vU_[297] + vU_[74] * vU_[1];
+ vU_[221] = vU_[74] * -1;
+ vU_[156] = vU_[219] * vU_[41] + vU_[210] * vU_[205];
+ vU_[2] = vU_[219] * vU_[205] + vU_[210] * vU_[64];
+ jac[239] = vU_[236] * 1 / vU_[15] * vU_[31] +
+ (vU_[199] * vU_[41] + vU_[86] * vU_[0] + vU_[219] * vU_[206] + vU_[210] * vU_[76] + vU_[74] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[212] * 1 / vU_[15] * vU_[32] + vU_[221] * 1 / vU_[15] * vU_[15] + vU_[156] * 1 / vU_[15] * vU_[59] +
+ vU_[2] * 1 / vU_[15] * vU_[16];
+ vU_[222] = vU_[79] * -1 + vU_[93] * 0.207;
+ vU_[243] = vU_[138] * vU_[298] + vU_[90] * vU_[302] + vU_[93] * vU_[301] + vU_[33] * vU_[297] + vU_[42] * vU_[1];
+ vU_[155] = vU_[42] * -1;
+ vU_[237] = vU_[93] * vU_[41] + vU_[33] * vU_[205];
+ vU_[257] = vU_[93] * vU_[205] + vU_[33] * vU_[64];
+ jac[240] = vU_[222] * 1 / vU_[15] * vU_[31] +
+ (vU_[138] * vU_[41] + vU_[90] * vU_[0] + vU_[93] * vU_[206] + vU_[33] * vU_[76] + vU_[42] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[243] * 1 / vU_[15] * vU_[32] + vU_[155] * 1 / vU_[15] * vU_[15] + vU_[237] * 1 / vU_[15] * vU_[59] +
+ vU_[257] * 1 / vU_[15] * vU_[16];
+ vU_[256] = vU_[108] * -1 + vU_[78] * 0.207;
+ vU_[258] = vU_[53] * vU_[298] + vU_[101] * vU_[302] + vU_[78] * vU_[301] + vU_[213] * vU_[297] + vU_[204] * vU_[1];
+ vU_[279] = vU_[204] * -1;
+ vU_[274] = vU_[78] * vU_[41] + vU_[213] * vU_[205];
+ vU_[273] = vU_[78] * vU_[205] + vU_[213] * vU_[64];
+ jac[241] = vU_[256] * 1 / vU_[15] * vU_[31] +
+ (vU_[53] * vU_[41] + vU_[101] * vU_[0] + vU_[78] * vU_[206] + vU_[213] * vU_[76] + vU_[204] * vU_[294]) *
+ 1 / vU_[15] * vU_[43] +
+ vU_[258] * 1 / vU_[15] * vU_[32] + vU_[279] * 1 / vU_[15] * vU_[15] + vU_[274] * 1 / vU_[15] * vU_[59] +
+ vU_[273] * 1 / vU_[15] * vU_[16];
+ vU_[306] = vU_[240] * -1 + vU_[234] * 0.207;
+ vU_[277] =
+ vU_[242] * vU_[298] + vU_[239] * vU_[302] + vU_[234] * vU_[301] + vU_[233] * vU_[297] + vU_[235] * vU_[1];
+ vU_[304] = vU_[235] * -1;
+ vU_[320] = vU_[234] * vU_[41] + vU_[233] * vU_[205];
+ vU_[309] = vU_[234] * vU_[205] + vU_[233] * vU_[64];
+ jac[242] =
+ vU_[306] * 1 / vU_[15] * vU_[31] +
+ (vU_[242] * vU_[41] + vU_[239] * vU_[0] + vU_[234] * vU_[206] + vU_[233] * vU_[76] + vU_[235] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[277] * 1 / vU_[15] * vU_[32] + vU_[304] * 1 / vU_[15] * vU_[15] + vU_[320] * 1 / vU_[15] * vU_[59] +
+ vU_[309] * 1 / vU_[15] * vU_[16];
+ vU_[321] = vU_[245] * -1 + vU_[252] * 0.207;
+ vU_[350] =
+ vU_[248] * vU_[298] + vU_[255] * vU_[302] + vU_[252] * vU_[301] + vU_[253] * vU_[297] + vU_[249] * vU_[1];
+ vU_[336] = vU_[249] * -1;
+ vU_[324] = vU_[252] * vU_[41] + vU_[253] * vU_[205];
+ vU_[368] = vU_[252] * vU_[205] + vU_[253] * vU_[64];
+ jac[243] =
+ vU_[321] * 1 / vU_[15] * vU_[31] +
+ (vU_[248] * vU_[41] + vU_[255] * vU_[0] + vU_[252] * vU_[206] + vU_[253] * vU_[76] + vU_[249] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[350] * 1 / vU_[15] * vU_[32] + vU_[336] * 1 / vU_[15] * vU_[15] + vU_[324] * 1 / vU_[15] * vU_[59] +
+ vU_[368] * 1 / vU_[15] * vU_[16];
+ vU_[351] = vU_[269] * -1 + vU_[266] * 0.207;
+ vU_[355] =
+ vU_[271] * vU_[298] + vU_[263] * vU_[302] + vU_[266] * vU_[301] + vU_[265] * vU_[297] + vU_[267] * vU_[1];
+ vU_[149] = vU_[267] * -1;
+ vU_[148] = vU_[266] * vU_[41] + vU_[265] * vU_[205];
+ vU_[152] = vU_[266] * vU_[205] + vU_[265] * vU_[64];
+ jac[244] =
+ vU_[351] * 1 / vU_[15] * vU_[31] +
+ (vU_[271] * vU_[41] + vU_[263] * vU_[0] + vU_[266] * vU_[206] + vU_[265] * vU_[76] + vU_[267] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[355] * 1 / vU_[15] * vU_[32] + vU_[149] * 1 / vU_[15] * vU_[15] + vU_[148] * 1 / vU_[15] * vU_[59] +
+ vU_[152] * 1 / vU_[15] * vU_[16];
+ vU_[102] = vU_[286] * -1 + vU_[283] * 0.207;
+ vU_[60] = vU_[288] * vU_[298] + vU_[281] * vU_[302] + vU_[283] * vU_[301] + vU_[282] * vU_[297] + vU_[284] * vU_[1];
+ vU_[143] = vU_[284] * -1;
+ vU_[247] = vU_[283] * vU_[41] + vU_[282] * vU_[205];
+ vU_[154] = vU_[283] * vU_[205] + vU_[282] * vU_[64];
+ jac[245] =
+ vU_[102] * 1 / vU_[15] * vU_[31] +
+ (vU_[288] * vU_[41] + vU_[281] * vU_[0] + vU_[283] * vU_[206] + vU_[282] * vU_[76] + vU_[284] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[60] * 1 / vU_[15] * vU_[32] + vU_[143] * 1 / vU_[15] * vU_[15] + vU_[247] * 1 / vU_[15] * vU_[59] +
+ vU_[154] * 1 / vU_[15] * vU_[16];
+ vU_[214] = vU_[292] * -1 + vU_[299] * 0.207;
+ vU_[125] =
+ vU_[295] * vU_[298] + vU_[303] * vU_[302] + vU_[299] * vU_[301] + vU_[300] * vU_[297] + vU_[296] * vU_[1];
+ vU_[129] = vU_[296] * -1;
+ vU_[117] = vU_[299] * vU_[41] + vU_[300] * vU_[205];
+ vU_[116] = vU_[299] * vU_[205] + vU_[300] * vU_[64];
+ jac[246] =
+ vU_[291] + vU_[214] * 1 / vU_[15] * vU_[31] +
+ (vU_[295] * vU_[41] + vU_[303] * vU_[0] + vU_[299] * vU_[206] + vU_[300] * vU_[76] + vU_[296] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[125] * 1 / vU_[15] * vU_[32] + vU_[129] * 1 / vU_[15] * vU_[15] + vU_[117] * 1 / vU_[15] * vU_[59] +
+ vU_[116] * 1 / vU_[15] * vU_[16];
+ vU_[291] = vU_[315] * -1 + vU_[312] * 0.207;
+ vU_[106] =
+ vU_[318] * vU_[298] + vU_[310] * vU_[302] + vU_[312] * vU_[301] + vU_[311] * vU_[297] + vU_[313] * vU_[1];
+ vU_[113] = vU_[313] * -1;
+ vU_[115] = vU_[312] * vU_[41] + vU_[311] * vU_[205];
+ vU_[98] = vU_[312] * vU_[205] + vU_[311] * vU_[64];
+ jac[247] =
+ vU_[314] + vU_[291] * 1 / vU_[15] * vU_[31] +
+ (vU_[318] * vU_[41] + vU_[310] * vU_[0] + vU_[312] * vU_[206] + vU_[311] * vU_[76] + vU_[313] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[106] * 1 / vU_[15] * vU_[32] + vU_[113] * 1 / vU_[15] * vU_[15] + vU_[115] * 1 / vU_[15] * vU_[59] +
+ vU_[98] * 1 / vU_[15] * vU_[16];
+ vU_[314] = vU_[333] * -1 + vU_[330] * 0.207;
+ vU_[264] =
+ vU_[335] * vU_[298] + vU_[328] * vU_[302] + vU_[330] * vU_[301] + vU_[329] * vU_[297] + vU_[331] * vU_[1];
+ vU_[128] = vU_[331] * -1;
+ vU_[97] = vU_[330] * vU_[41] + vU_[329] * vU_[205];
+ vU_[262] = vU_[330] * vU_[205] + vU_[329] * vU_[64];
+ jac[248] =
+ vU_[332] + vU_[314] * 1 / vU_[15] * vU_[31] +
+ (vU_[335] * vU_[41] + vU_[328] * vU_[0] + vU_[330] * vU_[206] + vU_[329] * vU_[76] + vU_[331] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[264] * 1 / vU_[15] * vU_[32] + vU_[128] * 1 / vU_[15] * vU_[15] + vU_[97] * 1 / vU_[15] * vU_[59] +
+ vU_[262] * 1 / vU_[15] * vU_[16];
+ vU_[332] = vU_[339] * -1 + vU_[346] * 0.207;
+ vU_[173] =
+ vU_[342] * vU_[298] + vU_[349] * vU_[302] + vU_[346] * vU_[301] + vU_[347] * vU_[297] + vU_[343] * vU_[1];
+ vU_[164] = vU_[343] * -1;
+ vU_[223] = vU_[346] * vU_[41] + vU_[347] * vU_[205];
+ vU_[57] = vU_[346] * vU_[205] + vU_[347] * vU_[64];
+ jac[249] =
+ vU_[332] * 1 / vU_[15] * vU_[31] +
+ (vU_[342] * vU_[41] + vU_[349] * vU_[0] + vU_[346] * vU_[206] + vU_[347] * vU_[76] + vU_[343] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[173] * 1 / vU_[15] * vU_[32] + vU_[164] * 1 / vU_[15] * vU_[15] + vU_[223] * 1 / vU_[15] * vU_[59] +
+ vU_[57] * 1 / vU_[15] * vU_[16];
+ vU_[66] = vU_[363] * -1 + vU_[360] * 0.207;
+ vU_[132] =
+ vU_[365] * vU_[298] + vU_[357] * vU_[302] + vU_[360] * vU_[301] + vU_[359] * vU_[297] + vU_[361] * vU_[1];
+ vU_[217] = vU_[361] * -1;
+ vU_[278] = vU_[360] * vU_[41] + vU_[359] * vU_[205];
+ vU_[201] = vU_[360] * vU_[205] + vU_[359] * vU_[64];
+ jac[250] =
+ vU_[66] * 1 / vU_[15] * vU_[31] +
+ (vU_[365] * vU_[41] + vU_[357] * vU_[0] + vU_[360] * vU_[206] + vU_[359] * vU_[76] + vU_[361] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[132] * 1 / vU_[15] * vU_[32] + vU_[217] * 1 / vU_[15] * vU_[15] + vU_[278] * 1 / vU_[15] * vU_[59] +
+ vU_[201] * 1 / vU_[15] * vU_[16];
+ vU_[260] = vU_[380] * -1 + vU_[377] * 0.207;
+ vU_[302] = vU_[382] * vU_[298] + vU_[184] * vU_[302] + vU_[377] * vU_[301] + vU_[36] * vU_[297] + vU_[378] * vU_[1];
+ vU_[298] = vU_[378] * -1;
+ vU_[301] = vU_[377] * vU_[41] + vU_[36] * vU_[205];
+ vU_[205] = vU_[377] * vU_[205] + vU_[36] * vU_[64];
+ jac[251] =
+ vU_[260] * 1 / vU_[15] * vU_[31] +
+ (vU_[382] * vU_[41] + vU_[184] * vU_[0] + vU_[377] * vU_[206] + vU_[36] * vU_[76] + vU_[378] * vU_[294]) * 1 /
+ vU_[15] * vU_[43] +
+ vU_[302] * 1 / vU_[15] * vU_[32] + vU_[298] * 1 / vU_[15] * vU_[15] + vU_[301] * 1 / vU_[15] * vU_[59] +
+ vU_[205] * 1 / vU_[15] * vU_[16];
+ vU_[0] = vU_[254] * vU_[21] + vU_[251] * vU_[317] + vU_[280] * vU_[319];
+ vU_[251] = vU_[254] * vU_[3] + vU_[251] * vU_[21] + vU_[280] * vU_[29];
+ vU_[280] = vU_[280] * -1;
+ vU_[272] = vU_[272] - jac[234];
+ jac[270] = vU_[0] * 1 / vU_[11] * vU_[18] + vU_[251] * 1 / vU_[11] * vU_[20] + vU_[280] * 1 / vU_[11] * vU_[11] +
+ (vU_[272] * vU_[21] + vU_[276] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[272] * vU_[3] + vU_[276] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[272] = vU_[104] * vU_[21] + vU_[100] * vU_[317] + vU_[167] * vU_[319];
+ vU_[100] = vU_[104] * vU_[3] + vU_[100] * vU_[21] + vU_[167] * vU_[29];
+ vU_[167] = vU_[167] * -1;
+ vU_[99] = vU_[99] - jac[235];
+ jac[271] = vU_[272] * 1 / vU_[11] * vU_[18] + vU_[100] * 1 / vU_[11] * vU_[20] + vU_[167] * 1 / vU_[11] * vU_[11] +
+ (vU_[99] * vU_[21] + vU_[177] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[99] * vU_[3] + vU_[177] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[99] = vU_[229] * vU_[21] + vU_[54] * vU_[317] + vU_[218] * vU_[319];
+ vU_[54] = vU_[229] * vU_[3] + vU_[54] * vU_[21] + vU_[218] * vU_[29];
+ vU_[218] = vU_[218] * -1;
+ vU_[23] = vU_[23] - jac[236];
+ jac[272] = vU_[99] * 1 / vU_[11] * vU_[18] + vU_[54] * 1 / vU_[11] * vU_[20] + vU_[218] * 1 / vU_[11] * vU_[11] +
+ (vU_[23] * vU_[21] + vU_[10] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[23] * vU_[3] + vU_[10] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[23] = vU_[19] * vU_[21] + vU_[22] * vU_[317] + vU_[130] * vU_[319];
+ vU_[22] = vU_[19] * vU_[3] + vU_[22] * vU_[21] + vU_[130] * vU_[29];
+ vU_[130] = vU_[130] * -1;
+ vU_[70] = vU_[70] - jac[237];
+ jac[273] = vU_[23] * 1 / vU_[11] * vU_[18] + vU_[22] * 1 / vU_[11] * vU_[20] + vU_[130] * 1 / vU_[11] * vU_[11] +
+ (vU_[70] * vU_[21] + vU_[285] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[70] * vU_[3] + vU_[285] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[70] = vU_[84] * vU_[21] + vU_[14] * vU_[317] + vU_[208] * vU_[319];
+ vU_[14] = vU_[84] * vU_[3] + vU_[14] * vU_[21] + vU_[208] * vU_[29];
+ vU_[208] = vU_[208] * -1;
+ vU_[268] = vU_[268] - jac[238];
+ jac[274] = vU_[70] * 1 / vU_[11] * vU_[18] + vU_[14] * 1 / vU_[11] * vU_[20] + vU_[208] * 1 / vU_[11] * vU_[11] +
+ (vU_[268] * vU_[21] + vU_[134] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[268] * vU_[3] + vU_[134] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[268] = vU_[236] * vU_[21] + vU_[212] * vU_[317] + vU_[156] * vU_[319];
+ vU_[212] = vU_[236] * vU_[3] + vU_[212] * vU_[21] + vU_[156] * vU_[29];
+ vU_[156] = vU_[156] * -1;
+ vU_[221] = vU_[221] - jac[239];
+ jac[275] = vU_[268] * 1 / vU_[11] * vU_[18] + vU_[212] * 1 / vU_[11] * vU_[20] + vU_[156] * 1 / vU_[11] * vU_[11] +
+ (vU_[221] * vU_[21] + vU_[2] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[221] * vU_[3] + vU_[2] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[221] = vU_[222] * vU_[21] + vU_[243] * vU_[317] + vU_[237] * vU_[319];
+ vU_[243] = vU_[222] * vU_[3] + vU_[243] * vU_[21] + vU_[237] * vU_[29];
+ vU_[237] = vU_[237] * -1;
+ vU_[155] = vU_[155] - jac[240];
+ jac[276] = vU_[221] * 1 / vU_[11] * vU_[18] + vU_[243] * 1 / vU_[11] * vU_[20] + vU_[237] * 1 / vU_[11] * vU_[11] +
+ (vU_[155] * vU_[21] + vU_[257] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[155] * vU_[3] + vU_[257] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[155] = vU_[256] * vU_[21] + vU_[258] * vU_[317] + vU_[274] * vU_[319];
+ vU_[258] = vU_[256] * vU_[3] + vU_[258] * vU_[21] + vU_[274] * vU_[29];
+ vU_[274] = vU_[274] * -1;
+ vU_[279] = vU_[279] - jac[241];
+ jac[277] = vU_[155] * 1 / vU_[11] * vU_[18] + vU_[258] * 1 / vU_[11] * vU_[20] + vU_[274] * 1 / vU_[11] * vU_[11] +
+ (vU_[279] * vU_[21] + vU_[273] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[279] * vU_[3] + vU_[273] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[279] = vU_[306] * vU_[21] + vU_[277] * vU_[317] + vU_[320] * vU_[319];
+ vU_[277] = vU_[306] * vU_[3] + vU_[277] * vU_[21] + vU_[320] * vU_[29];
+ vU_[320] = vU_[320] * -1;
+ vU_[304] = vU_[304] - jac[242];
+ jac[278] = vU_[279] * 1 / vU_[11] * vU_[18] + vU_[277] * 1 / vU_[11] * vU_[20] + vU_[320] * 1 / vU_[11] * vU_[11] +
+ (vU_[304] * vU_[21] + vU_[309] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[304] * vU_[3] + vU_[309] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[304] = vU_[321] * vU_[21] + vU_[350] * vU_[317] + vU_[324] * vU_[319];
+ vU_[350] = vU_[321] * vU_[3] + vU_[350] * vU_[21] + vU_[324] * vU_[29];
+ vU_[324] = vU_[324] * -1;
+ vU_[336] = vU_[336] - jac[243];
+ jac[279] = vU_[304] * 1 / vU_[11] * vU_[18] + vU_[350] * 1 / vU_[11] * vU_[20] + vU_[324] * 1 / vU_[11] * vU_[11] +
+ (vU_[336] * vU_[21] + vU_[368] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[336] * vU_[3] + vU_[368] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[336] = vU_[351] * vU_[21] + vU_[355] * vU_[317] + vU_[148] * vU_[319];
+ vU_[355] = vU_[351] * vU_[3] + vU_[355] * vU_[21] + vU_[148] * vU_[29];
+ vU_[148] = vU_[148] * -1;
+ vU_[149] = vU_[149] - jac[244];
+ jac[280] = vU_[336] * 1 / vU_[11] * vU_[18] + vU_[355] * 1 / vU_[11] * vU_[20] + vU_[148] * 1 / vU_[11] * vU_[11] +
+ (vU_[149] * vU_[21] + vU_[152] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[149] * vU_[3] + vU_[152] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[149] = vU_[102] * vU_[21] + vU_[60] * vU_[317] + vU_[247] * vU_[319];
+ vU_[60] = vU_[102] * vU_[3] + vU_[60] * vU_[21] + vU_[247] * vU_[29];
+ vU_[247] = vU_[247] * -1;
+ vU_[143] = vU_[143] - jac[245];
+ jac[281] = vU_[149] * 1 / vU_[11] * vU_[18] + vU_[60] * 1 / vU_[11] * vU_[20] + vU_[247] * 1 / vU_[11] * vU_[11] +
+ (vU_[143] * vU_[21] + vU_[154] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[143] * vU_[3] + vU_[154] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[143] = vU_[214] * vU_[21] + vU_[125] * vU_[317] + vU_[117] * vU_[319];
+ vU_[125] = vU_[214] * vU_[3] + vU_[125] * vU_[21] + vU_[117] * vU_[29];
+ vU_[117] = vU_[117] * -1;
+ vU_[129] = vU_[129] - jac[246];
+ jac[282] = vU_[143] * 1 / vU_[11] * vU_[18] + vU_[125] * 1 / vU_[11] * vU_[20] + vU_[117] * 1 / vU_[11] * vU_[11] +
+ (vU_[129] * vU_[21] + vU_[116] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[129] * vU_[3] + vU_[116] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[129] = vU_[291] * vU_[21] + vU_[106] * vU_[317] + vU_[115] * vU_[319];
+ vU_[106] = vU_[291] * vU_[3] + vU_[106] * vU_[21] + vU_[115] * vU_[29];
+ vU_[115] = vU_[115] * -1;
+ vU_[113] = vU_[113] - jac[247];
+ jac[283] = vU_[308] + vU_[129] * 1 / vU_[11] * vU_[18] + vU_[106] * 1 / vU_[11] * vU_[20] +
+ vU_[115] * 1 / vU_[11] * vU_[11] + (vU_[113] * vU_[21] + vU_[98] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[113] * vU_[3] + vU_[98] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[113] = vU_[314] * vU_[21] + vU_[264] * vU_[317] + vU_[97] * vU_[319];
+ vU_[264] = vU_[314] * vU_[3] + vU_[264] * vU_[21] + vU_[97] * vU_[29];
+ vU_[97] = vU_[97] * -1;
+ vU_[128] = vU_[128] - jac[248];
+ jac[284] = vU_[325] + vU_[113] * 1 / vU_[11] * vU_[18] + vU_[264] * 1 / vU_[11] * vU_[20] +
+ vU_[97] * 1 / vU_[11] * vU_[11] + (vU_[128] * vU_[21] + vU_[262] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[128] * vU_[3] + vU_[262] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[128] = vU_[332] * vU_[21] + vU_[173] * vU_[317] + vU_[223] * vU_[319];
+ vU_[173] = vU_[332] * vU_[3] + vU_[173] * vU_[21] + vU_[223] * vU_[29];
+ vU_[223] = vU_[223] * -1;
+ vU_[164] = vU_[164] - jac[249];
+ jac[285] = vU_[128] * 1 / vU_[11] * vU_[18] + vU_[173] * 1 / vU_[11] * vU_[20] + vU_[223] * 1 / vU_[11] * vU_[11] +
+ (vU_[164] * vU_[21] + vU_[57] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[164] * vU_[3] + vU_[57] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[164] = vU_[66] * vU_[21] + vU_[132] * vU_[317] + vU_[278] * vU_[319];
+ vU_[132] = vU_[66] * vU_[3] + vU_[132] * vU_[21] + vU_[278] * vU_[29];
+ vU_[278] = vU_[278] * -1;
+ vU_[217] = vU_[217] - jac[250];
+ jac[286] = vU_[164] * 1 / vU_[11] * vU_[18] + vU_[132] * 1 / vU_[11] * vU_[20] + vU_[278] * 1 / vU_[11] * vU_[11] +
+ (vU_[217] * vU_[21] + vU_[201] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[217] * vU_[3] + vU_[201] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[319] = vU_[260] * vU_[21] + vU_[302] * vU_[317] + vU_[301] * vU_[319];
+ vU_[302] = vU_[260] * vU_[3] + vU_[302] * vU_[21] + vU_[301] * vU_[29];
+ vU_[301] = vU_[301] * -1;
+ vU_[298] = vU_[298] - jac[251];
+ jac[287] = vU_[319] * 1 / vU_[11] * vU_[18] + vU_[302] * 1 / vU_[11] * vU_[20] + vU_[301] * 1 / vU_[11] * vU_[11] +
+ (vU_[298] * vU_[21] + vU_[205] * vU_[24]) * 1 / vU_[11] * 2.1e-05 +
+ (vU_[298] * vU_[3] + vU_[205] * vU_[21]) * 1 / vU_[11] * -0.000102;
+ vU_[280] = vU_[280] - jac[270];
+ jac[306] = (vU_[0] * vU_[5] + vU_[251] * vU_[327] + vU_[280] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[0] * vU_[4] + vU_[251] * vU_[5] + vU_[280] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[280] * 38.1956380581338 * 0.026181;
+ vU_[167] = vU_[167] - jac[271];
+ jac[307] = (vU_[272] * vU_[5] + vU_[100] * vU_[327] + vU_[167] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[272] * vU_[4] + vU_[100] * vU_[5] + vU_[167] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[167] * 38.1956380581338 * 0.026181;
+ vU_[218] = vU_[218] - jac[272];
+ jac[308] = (vU_[99] * vU_[5] + vU_[54] * vU_[327] + vU_[218] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[99] * vU_[4] + vU_[54] * vU_[5] + vU_[218] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[218] * 38.1956380581338 * 0.026181;
+ vU_[130] = vU_[130] - jac[273];
+ jac[309] = (vU_[23] * vU_[5] + vU_[22] * vU_[327] + vU_[130] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[23] * vU_[4] + vU_[22] * vU_[5] + vU_[130] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[130] * 38.1956380581338 * 0.026181;
+ vU_[208] = vU_[208] - jac[274];
+ jac[310] = (vU_[70] * vU_[5] + vU_[14] * vU_[327] + vU_[208] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[70] * vU_[4] + vU_[14] * vU_[5] + vU_[208] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[208] * 38.1956380581338 * 0.026181;
+ vU_[156] = vU_[156] - jac[275];
+ jac[311] = (vU_[268] * vU_[5] + vU_[212] * vU_[327] + vU_[156] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[268] * vU_[4] + vU_[212] * vU_[5] + vU_[156] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[156] * 38.1956380581338 * 0.026181;
+ vU_[237] = vU_[237] - jac[276];
+ jac[312] = (vU_[221] * vU_[5] + vU_[243] * vU_[327] + vU_[237] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[221] * vU_[4] + vU_[243] * vU_[5] + vU_[237] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[237] * 38.1956380581338 * 0.026181;
+ vU_[274] = vU_[274] - jac[277];
+ jac[313] = (vU_[155] * vU_[5] + vU_[258] * vU_[327] + vU_[274] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[155] * vU_[4] + vU_[258] * vU_[5] + vU_[274] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[274] * 38.1956380581338 * 0.026181;
+ vU_[320] = vU_[320] - jac[278];
+ jac[314] = (vU_[279] * vU_[5] + vU_[277] * vU_[327] + vU_[320] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[279] * vU_[4] + vU_[277] * vU_[5] + vU_[320] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[320] * 38.1956380581338 * 0.026181;
+ vU_[324] = vU_[324] - jac[279];
+ jac[315] = (vU_[304] * vU_[5] + vU_[350] * vU_[327] + vU_[324] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[304] * vU_[4] + vU_[350] * vU_[5] + vU_[324] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[324] * 38.1956380581338 * 0.026181;
+ vU_[148] = vU_[148] - jac[280];
+ jac[316] = (vU_[336] * vU_[5] + vU_[355] * vU_[327] + vU_[148] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[336] * vU_[4] + vU_[355] * vU_[5] + vU_[148] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[148] * 38.1956380581338 * 0.026181;
+ vU_[247] = vU_[247] - jac[281];
+ jac[317] = (vU_[149] * vU_[5] + vU_[60] * vU_[327] + vU_[247] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[149] * vU_[4] + vU_[60] * vU_[5] + vU_[247] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[247] * 38.1956380581338 * 0.026181;
+ vU_[117] = vU_[117] - jac[282];
+ jac[318] = (vU_[143] * vU_[5] + vU_[125] * vU_[327] + vU_[117] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[143] * vU_[4] + vU_[125] * vU_[5] + vU_[117] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[117] * 38.1956380581338 * 0.026181;
+ vU_[115] = vU_[115] - jac[283];
+ jac[319] = (vU_[129] * vU_[5] + vU_[106] * vU_[327] + vU_[115] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[129] * vU_[4] + vU_[106] * vU_[5] + vU_[115] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[115] * 38.1956380581338 * 0.026181;
+ vU_[97] = vU_[97] - jac[284];
+ jac[320] = 38.1956380581338 +
+ (vU_[113] * vU_[5] + vU_[264] * vU_[327] + vU_[97] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[113] * vU_[4] + vU_[264] * vU_[5] + vU_[97] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[97] * 38.1956380581338 * 0.026181;
+ vU_[223] = vU_[223] - jac[285];
+ jac[321] = (vU_[128] * vU_[5] + vU_[173] * vU_[327] + vU_[223] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[128] * vU_[4] + vU_[173] * vU_[5] + vU_[223] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[223] * 38.1956380581338 * 0.026181;
+ vU_[278] = vU_[278] - jac[286];
+ jac[322] = (vU_[164] * vU_[5] + vU_[132] * vU_[327] + vU_[278] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[164] * vU_[4] + vU_[132] * vU_[5] + vU_[278] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[278] * 38.1956380581338 * 0.026181;
+ vU_[301] = vU_[301] - jac[287];
+ jac[323] = (vU_[319] * vU_[5] + vU_[302] * vU_[327] + vU_[301] * vU_[323]) * 38.1956380581338 * 0.110125 +
+ (vU_[319] * vU_[4] + vU_[302] * vU_[5] + vU_[301] * vU_[9]) * 38.1956380581338 * 0.000881 +
+ vU_[301] * 38.1956380581338 * 0.026181;
+ vU_[34] = vU_[34] + vU_[17] * 0.207;
+ vU_[301] = vU_[200] * vU_[345] + vU_[135] * vU_[89] + vU_[17] * vU_[348] + vU_[166] * vU_[344] + vU_[119] * vU_[48];
+ vU_[302] = vU_[17] * vU_[89] + vU_[166] * vU_[47];
+ vU_[319] = vU_[17] * vU_[196] + vU_[166] * vU_[89];
+ jac[342] =
+ vU_[34] * 1 / vU_[62] * vU_[83] +
+ (vU_[200] * vU_[89] + vU_[135] * vU_[47] + vU_[17] * vU_[197] + vU_[166] * vU_[195] + vU_[119] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[301] * 1 / vU_[62] * vU_[61] + vU_[119] * 1 / vU_[62] * vU_[62] + vU_[302] * 1 / vU_[62] * vU_[193] +
+ vU_[319] * 1 / vU_[62] * vU_[63];
+ vU_[136] = vU_[136] + vU_[133] * 0.207;
+ vU_[166] = vU_[40] * vU_[345] + vU_[88] * vU_[89] + vU_[133] * vU_[348] + vU_[85] * vU_[344] + vU_[114] * vU_[48];
+ vU_[17] = vU_[133] * vU_[89] + vU_[85] * vU_[47];
+ vU_[135] = vU_[133] * vU_[196] + vU_[85] * vU_[89];
+ jac[343] =
+ vU_[136] * 1 / vU_[62] * vU_[83] +
+ (vU_[40] * vU_[89] + vU_[88] * vU_[47] + vU_[133] * vU_[197] + vU_[85] * vU_[195] + vU_[114] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[166] * 1 / vU_[62] * vU_[61] + vU_[114] * 1 / vU_[62] * vU_[62] + vU_[17] * 1 / vU_[62] * vU_[193] +
+ vU_[135] * 1 / vU_[62] * vU_[63];
+ vU_[44] = vU_[44] + vU_[121] * 0.207;
+ vU_[85] = vU_[92] * vU_[345] + vU_[140] * vU_[89] + vU_[121] * vU_[348] + vU_[73] * vU_[344] + vU_[118] * vU_[48];
+ vU_[133] = vU_[121] * vU_[89] + vU_[73] * vU_[47];
+ vU_[88] = vU_[121] * vU_[196] + vU_[73] * vU_[89];
+ jac[344] =
+ vU_[44] * 1 / vU_[62] * vU_[83] +
+ (vU_[92] * vU_[89] + vU_[140] * vU_[47] + vU_[121] * vU_[197] + vU_[73] * vU_[195] + vU_[118] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[85] * 1 / vU_[62] * vU_[61] + vU_[118] * 1 / vU_[62] * vU_[62] + vU_[133] * 1 / vU_[62] * vU_[193] +
+ vU_[88] * 1 / vU_[62] * vU_[63];
+ vU_[209] = vU_[209] + vU_[141] * 0.207;
+ vU_[73] = vU_[82] * vU_[345] + vU_[150] * vU_[89] + vU_[141] * vU_[348] + vU_[87] * vU_[344] + vU_[39] * vU_[48];
+ vU_[121] = vU_[141] * vU_[89] + vU_[87] * vU_[47];
+ vU_[140] = vU_[141] * vU_[196] + vU_[87] * vU_[89];
+ jac[345] =
+ vU_[209] * 1 / vU_[62] * vU_[83] +
+ (vU_[82] * vU_[89] + vU_[150] * vU_[47] + vU_[141] * vU_[197] + vU_[87] * vU_[195] + vU_[39] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[73] * 1 / vU_[62] * vU_[61] + vU_[39] * 1 / vU_[62] * vU_[62] + vU_[121] * 1 / vU_[62] * vU_[193] +
+ vU_[140] * 1 / vU_[62] * vU_[63];
+ vU_[55] = vU_[55] + vU_[94] * 0.207;
+ vU_[87] = vU_[103] * vU_[345] + vU_[142] * vU_[89] + vU_[94] * vU_[348] + vU_[46] * vU_[344] + vU_[183] * vU_[48];
+ vU_[141] = vU_[94] * vU_[89] + vU_[46] * vU_[47];
+ vU_[150] = vU_[94] * vU_[196] + vU_[46] * vU_[89];
+ jac[346] =
+ vU_[55] * 1 / vU_[62] * vU_[83] +
+ (vU_[103] * vU_[89] + vU_[142] * vU_[47] + vU_[94] * vU_[197] + vU_[46] * vU_[195] + vU_[183] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[87] * 1 / vU_[62] * vU_[61] + vU_[183] * 1 / vU_[62] * vU_[62] + vU_[141] * 1 / vU_[62] * vU_[193] +
+ vU_[150] * 1 / vU_[62] * vU_[63];
+ vU_[122] = vU_[122] + vU_[219] * 0.207;
+ vU_[46] = vU_[199] * vU_[345] + vU_[86] * vU_[89] + vU_[219] * vU_[348] + vU_[210] * vU_[344] + vU_[74] * vU_[48];
+ vU_[94] = vU_[219] * vU_[89] + vU_[210] * vU_[47];
+ vU_[142] = vU_[219] * vU_[196] + vU_[210] * vU_[89];
+ jac[347] =
+ vU_[122] * 1 / vU_[62] * vU_[83] +
+ (vU_[199] * vU_[89] + vU_[86] * vU_[47] + vU_[219] * vU_[197] + vU_[210] * vU_[195] + vU_[74] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[46] * 1 / vU_[62] * vU_[61] + vU_[74] * 1 / vU_[62] * vU_[62] + vU_[94] * 1 / vU_[62] * vU_[193] +
+ vU_[142] * 1 / vU_[62] * vU_[63];
+ vU_[79] = vU_[79] + vU_[93] * 0.207;
+ vU_[210] = vU_[138] * vU_[345] + vU_[90] * vU_[89] + vU_[93] * vU_[348] + vU_[33] * vU_[344] + vU_[42] * vU_[48];
+ vU_[219] = vU_[93] * vU_[89] + vU_[33] * vU_[47];
+ vU_[86] = vU_[93] * vU_[196] + vU_[33] * vU_[89];
+ jac[348] = vU_[79] * 1 / vU_[62] * vU_[83] +
+ (vU_[138] * vU_[89] + vU_[90] * vU_[47] + vU_[93] * vU_[197] + vU_[33] * vU_[195] + vU_[42] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[210] * 1 / vU_[62] * vU_[61] + vU_[42] * 1 / vU_[62] * vU_[62] + vU_[219] * 1 / vU_[62] * vU_[193] +
+ vU_[86] * 1 / vU_[62] * vU_[63];
+ vU_[108] = vU_[108] + vU_[78] * 0.207;
+ vU_[33] = vU_[53] * vU_[345] + vU_[101] * vU_[89] + vU_[78] * vU_[348] + vU_[213] * vU_[344] + vU_[204] * vU_[48];
+ vU_[93] = vU_[78] * vU_[89] + vU_[213] * vU_[47];
+ vU_[90] = vU_[78] * vU_[196] + vU_[213] * vU_[89];
+ jac[349] =
+ vU_[108] * 1 / vU_[62] * vU_[83] +
+ (vU_[53] * vU_[89] + vU_[101] * vU_[47] + vU_[78] * vU_[197] + vU_[213] * vU_[195] + vU_[204] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[33] * 1 / vU_[62] * vU_[61] + vU_[204] * 1 / vU_[62] * vU_[62] + vU_[93] * 1 / vU_[62] * vU_[193] +
+ vU_[90] * 1 / vU_[62] * vU_[63];
+ vU_[240] = vU_[240] + vU_[234] * 0.207;
+ vU_[213] =
+ vU_[242] * vU_[345] + vU_[239] * vU_[89] + vU_[234] * vU_[348] + vU_[233] * vU_[344] + vU_[235] * vU_[48];
+ vU_[78] = vU_[234] * vU_[89] + vU_[233] * vU_[47];
+ vU_[101] = vU_[234] * vU_[196] + vU_[233] * vU_[89];
+ jac[350] =
+ vU_[240] * 1 / vU_[62] * vU_[83] +
+ (vU_[242] * vU_[89] + vU_[239] * vU_[47] + vU_[234] * vU_[197] + vU_[233] * vU_[195] + vU_[235] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[213] * 1 / vU_[62] * vU_[61] + vU_[235] * 1 / vU_[62] * vU_[62] + vU_[78] * 1 / vU_[62] * vU_[193] +
+ vU_[101] * 1 / vU_[62] * vU_[63];
+ vU_[245] = vU_[245] + vU_[252] * 0.207;
+ vU_[233] =
+ vU_[248] * vU_[345] + vU_[255] * vU_[89] + vU_[252] * vU_[348] + vU_[253] * vU_[344] + vU_[249] * vU_[48];
+ vU_[234] = vU_[252] * vU_[89] + vU_[253] * vU_[47];
+ vU_[239] = vU_[252] * vU_[196] + vU_[253] * vU_[89];
+ jac[351] =
+ vU_[245] * 1 / vU_[62] * vU_[83] +
+ (vU_[248] * vU_[89] + vU_[255] * vU_[47] + vU_[252] * vU_[197] + vU_[253] * vU_[195] + vU_[249] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[233] * 1 / vU_[62] * vU_[61] + vU_[249] * 1 / vU_[62] * vU_[62] + vU_[234] * 1 / vU_[62] * vU_[193] +
+ vU_[239] * 1 / vU_[62] * vU_[63];
+ vU_[269] = vU_[269] + vU_[266] * 0.207;
+ vU_[253] =
+ vU_[271] * vU_[345] + vU_[263] * vU_[89] + vU_[266] * vU_[348] + vU_[265] * vU_[344] + vU_[267] * vU_[48];
+ vU_[252] = vU_[266] * vU_[89] + vU_[265] * vU_[47];
+ vU_[255] = vU_[266] * vU_[196] + vU_[265] * vU_[89];
+ jac[352] =
+ vU_[269] * 1 / vU_[62] * vU_[83] +
+ (vU_[271] * vU_[89] + vU_[263] * vU_[47] + vU_[266] * vU_[197] + vU_[265] * vU_[195] + vU_[267] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[253] * 1 / vU_[62] * vU_[61] + vU_[267] * 1 / vU_[62] * vU_[62] + vU_[252] * 1 / vU_[62] * vU_[193] +
+ vU_[255] * 1 / vU_[62] * vU_[63];
+ vU_[286] = vU_[286] + vU_[283] * 0.207;
+ vU_[265] =
+ vU_[288] * vU_[345] + vU_[281] * vU_[89] + vU_[283] * vU_[348] + vU_[282] * vU_[344] + vU_[284] * vU_[48];
+ vU_[266] = vU_[283] * vU_[89] + vU_[282] * vU_[47];
+ vU_[263] = vU_[283] * vU_[196] + vU_[282] * vU_[89];
+ jac[353] =
+ vU_[286] * 1 / vU_[62] * vU_[83] +
+ (vU_[288] * vU_[89] + vU_[281] * vU_[47] + vU_[283] * vU_[197] + vU_[282] * vU_[195] + vU_[284] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[265] * 1 / vU_[62] * vU_[61] + vU_[284] * 1 / vU_[62] * vU_[62] + vU_[266] * 1 / vU_[62] * vU_[193] +
+ vU_[263] * 1 / vU_[62] * vU_[63];
+ vU_[292] = vU_[292] + vU_[299] * 0.207;
+ vU_[282] =
+ vU_[295] * vU_[345] + vU_[303] * vU_[89] + vU_[299] * vU_[348] + vU_[300] * vU_[344] + vU_[296] * vU_[48];
+ vU_[283] = vU_[299] * vU_[89] + vU_[300] * vU_[47];
+ vU_[281] = vU_[299] * vU_[196] + vU_[300] * vU_[89];
+ jac[354] =
+ vU_[292] * 1 / vU_[62] * vU_[83] +
+ (vU_[295] * vU_[89] + vU_[303] * vU_[47] + vU_[299] * vU_[197] + vU_[300] * vU_[195] + vU_[296] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[282] * 1 / vU_[62] * vU_[61] + vU_[296] * 1 / vU_[62] * vU_[62] + vU_[283] * 1 / vU_[62] * vU_[193] +
+ vU_[281] * 1 / vU_[62] * vU_[63];
+ vU_[315] = vU_[315] + vU_[312] * 0.207;
+ vU_[300] =
+ vU_[318] * vU_[345] + vU_[310] * vU_[89] + vU_[312] * vU_[348] + vU_[311] * vU_[344] + vU_[313] * vU_[48];
+ vU_[299] = vU_[312] * vU_[89] + vU_[311] * vU_[47];
+ vU_[303] = vU_[312] * vU_[196] + vU_[311] * vU_[89];
+ jac[355] =
+ vU_[315] * 1 / vU_[62] * vU_[83] +
+ (vU_[318] * vU_[89] + vU_[310] * vU_[47] + vU_[312] * vU_[197] + vU_[311] * vU_[195] + vU_[313] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[300] * 1 / vU_[62] * vU_[61] + vU_[313] * 1 / vU_[62] * vU_[62] + vU_[299] * 1 / vU_[62] * vU_[193] +
+ vU_[303] * 1 / vU_[62] * vU_[63];
+ vU_[333] = vU_[333] + vU_[330] * 0.207;
+ vU_[311] =
+ vU_[335] * vU_[345] + vU_[328] * vU_[89] + vU_[330] * vU_[348] + vU_[329] * vU_[344] + vU_[331] * vU_[48];
+ vU_[312] = vU_[330] * vU_[89] + vU_[329] * vU_[47];
+ vU_[310] = vU_[330] * vU_[196] + vU_[329] * vU_[89];
+ jac[356] =
+ vU_[333] * 1 / vU_[62] * vU_[83] +
+ (vU_[335] * vU_[89] + vU_[328] * vU_[47] + vU_[330] * vU_[197] + vU_[329] * vU_[195] + vU_[331] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[311] * 1 / vU_[62] * vU_[61] + vU_[331] * 1 / vU_[62] * vU_[62] + vU_[312] * 1 / vU_[62] * vU_[193] +
+ vU_[310] * 1 / vU_[62] * vU_[63];
+ vU_[339] = vU_[339] + vU_[346] * 0.207;
+ vU_[329] =
+ vU_[342] * vU_[345] + vU_[349] * vU_[89] + vU_[346] * vU_[348] + vU_[347] * vU_[344] + vU_[343] * vU_[48];
+ vU_[330] = vU_[346] * vU_[89] + vU_[347] * vU_[47];
+ vU_[328] = vU_[346] * vU_[196] + vU_[347] * vU_[89];
+ jac[357] =
+ vU_[338] + vU_[339] * 1 / vU_[62] * vU_[83] +
+ (vU_[342] * vU_[89] + vU_[349] * vU_[47] + vU_[346] * vU_[197] + vU_[347] * vU_[195] + vU_[343] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[329] * 1 / vU_[62] * vU_[61] + vU_[343] * 1 / vU_[62] * vU_[62] + vU_[330] * 1 / vU_[62] * vU_[193] +
+ vU_[328] * 1 / vU_[62] * vU_[63];
+ vU_[363] = vU_[363] + vU_[360] * 0.207;
+ vU_[347] =
+ vU_[365] * vU_[345] + vU_[357] * vU_[89] + vU_[360] * vU_[348] + vU_[359] * vU_[344] + vU_[361] * vU_[48];
+ vU_[346] = vU_[360] * vU_[89] + vU_[359] * vU_[47];
+ vU_[349] = vU_[360] * vU_[196] + vU_[359] * vU_[89];
+ jac[358] =
+ vU_[362] + vU_[363] * 1 / vU_[62] * vU_[83] +
+ (vU_[365] * vU_[89] + vU_[357] * vU_[47] + vU_[360] * vU_[197] + vU_[359] * vU_[195] + vU_[361] * vU_[341]) *
+ 1 / vU_[62] * vU_[91] +
+ vU_[347] * 1 / vU_[62] * vU_[61] + vU_[361] * 1 / vU_[62] * vU_[62] + vU_[346] * 1 / vU_[62] * vU_[193] +
+ vU_[349] * 1 / vU_[62] * vU_[63];
+ vU_[380] = vU_[380] + vU_[377] * 0.207;
+ vU_[345] = vU_[382] * vU_[345] + vU_[184] * vU_[89] + vU_[377] * vU_[348] + vU_[36] * vU_[344] + vU_[378] * vU_[48];
+ vU_[348] = vU_[377] * vU_[89] + vU_[36] * vU_[47];
+ vU_[196] = vU_[377] * vU_[196] + vU_[36] * vU_[89];
+ jac[359] =
+ vU_[379] + vU_[380] * 1 / vU_[62] * vU_[83] +
+ (vU_[382] * vU_[89] + vU_[184] * vU_[47] + vU_[377] * vU_[197] + vU_[36] * vU_[195] + vU_[378] * vU_[341]) * 1 /
+ vU_[62] * vU_[91] +
+ vU_[345] * 1 / vU_[62] * vU_[61] + vU_[378] * 1 / vU_[62] * vU_[62] + vU_[348] * 1 / vU_[62] * vU_[193] +
+ vU_[196] * 1 / vU_[62] * vU_[63];
+ vU_[36] = vU_[34] * vU_[356] + vU_[301] * vU_[49] + vU_[302] * vU_[366];
+ vU_[301] = vU_[34] * vU_[358] + vU_[301] * vU_[68] + vU_[302] * vU_[80];
+ vU_[119] = vU_[119] - jac[342];
+ jac[378] = vU_[36] * 1 / vU_[58] * vU_[65] + vU_[301] * 1 / vU_[58] * vU_[67] + vU_[302] * 1 / vU_[58] * vU_[58] +
+ (vU_[119] * vU_[69] + vU_[319] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[119] * vU_[50] + vU_[319] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[119] = vU_[136] * vU_[356] + vU_[166] * vU_[49] + vU_[17] * vU_[366];
+ vU_[166] = vU_[136] * vU_[358] + vU_[166] * vU_[68] + vU_[17] * vU_[80];
+ vU_[114] = vU_[114] - jac[343];
+ jac[379] = vU_[119] * 1 / vU_[58] * vU_[65] + vU_[166] * 1 / vU_[58] * vU_[67] + vU_[17] * 1 / vU_[58] * vU_[58] +
+ (vU_[114] * vU_[69] + vU_[135] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[114] * vU_[50] + vU_[135] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[114] = vU_[44] * vU_[356] + vU_[85] * vU_[49] + vU_[133] * vU_[366];
+ vU_[85] = vU_[44] * vU_[358] + vU_[85] * vU_[68] + vU_[133] * vU_[80];
+ vU_[118] = vU_[118] - jac[344];
+ jac[380] = vU_[114] * 1 / vU_[58] * vU_[65] + vU_[85] * 1 / vU_[58] * vU_[67] + vU_[133] * 1 / vU_[58] * vU_[58] +
+ (vU_[118] * vU_[69] + vU_[88] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[118] * vU_[50] + vU_[88] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[118] = vU_[209] * vU_[356] + vU_[73] * vU_[49] + vU_[121] * vU_[366];
+ vU_[73] = vU_[209] * vU_[358] + vU_[73] * vU_[68] + vU_[121] * vU_[80];
+ vU_[39] = vU_[39] - jac[345];
+ jac[381] = vU_[118] * 1 / vU_[58] * vU_[65] + vU_[73] * 1 / vU_[58] * vU_[67] + vU_[121] * 1 / vU_[58] * vU_[58] +
+ (vU_[39] * vU_[69] + vU_[140] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[39] * vU_[50] + vU_[140] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[39] = vU_[55] * vU_[356] + vU_[87] * vU_[49] + vU_[141] * vU_[366];
+ vU_[87] = vU_[55] * vU_[358] + vU_[87] * vU_[68] + vU_[141] * vU_[80];
+ vU_[183] = vU_[183] - jac[346];
+ jac[382] = vU_[39] * 1 / vU_[58] * vU_[65] + vU_[87] * 1 / vU_[58] * vU_[67] + vU_[141] * 1 / vU_[58] * vU_[58] +
+ (vU_[183] * vU_[69] + vU_[150] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[183] * vU_[50] + vU_[150] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[183] = vU_[122] * vU_[356] + vU_[46] * vU_[49] + vU_[94] * vU_[366];
+ vU_[46] = vU_[122] * vU_[358] + vU_[46] * vU_[68] + vU_[94] * vU_[80];
+ vU_[74] = vU_[74] - jac[347];
+ jac[383] = vU_[183] * 1 / vU_[58] * vU_[65] + vU_[46] * 1 / vU_[58] * vU_[67] + vU_[94] * 1 / vU_[58] * vU_[58] +
+ (vU_[74] * vU_[69] + vU_[142] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[74] * vU_[50] + vU_[142] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[74] = vU_[79] * vU_[356] + vU_[210] * vU_[49] + vU_[219] * vU_[366];
+ vU_[210] = vU_[79] * vU_[358] + vU_[210] * vU_[68] + vU_[219] * vU_[80];
+ vU_[42] = vU_[42] - jac[348];
+ jac[384] = vU_[74] * 1 / vU_[58] * vU_[65] + vU_[210] * 1 / vU_[58] * vU_[67] + vU_[219] * 1 / vU_[58] * vU_[58] +
+ (vU_[42] * vU_[69] + vU_[86] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[42] * vU_[50] + vU_[86] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[42] = vU_[108] * vU_[356] + vU_[33] * vU_[49] + vU_[93] * vU_[366];
+ vU_[33] = vU_[108] * vU_[358] + vU_[33] * vU_[68] + vU_[93] * vU_[80];
+ vU_[204] = vU_[204] - jac[349];
+ jac[385] = vU_[42] * 1 / vU_[58] * vU_[65] + vU_[33] * 1 / vU_[58] * vU_[67] + vU_[93] * 1 / vU_[58] * vU_[58] +
+ (vU_[204] * vU_[69] + vU_[90] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[204] * vU_[50] + vU_[90] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[204] = vU_[240] * vU_[356] + vU_[213] * vU_[49] + vU_[78] * vU_[366];
+ vU_[213] = vU_[240] * vU_[358] + vU_[213] * vU_[68] + vU_[78] * vU_[80];
+ vU_[235] = vU_[235] - jac[350];
+ jac[386] = vU_[204] * 1 / vU_[58] * vU_[65] + vU_[213] * 1 / vU_[58] * vU_[67] + vU_[78] * 1 / vU_[58] * vU_[58] +
+ (vU_[235] * vU_[69] + vU_[101] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[235] * vU_[50] + vU_[101] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[235] = vU_[245] * vU_[356] + vU_[233] * vU_[49] + vU_[234] * vU_[366];
+ vU_[233] = vU_[245] * vU_[358] + vU_[233] * vU_[68] + vU_[234] * vU_[80];
+ vU_[249] = vU_[249] - jac[351];
+ jac[387] = vU_[235] * 1 / vU_[58] * vU_[65] + vU_[233] * 1 / vU_[58] * vU_[67] + vU_[234] * 1 / vU_[58] * vU_[58] +
+ (vU_[249] * vU_[69] + vU_[239] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[249] * vU_[50] + vU_[239] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[249] = vU_[269] * vU_[356] + vU_[253] * vU_[49] + vU_[252] * vU_[366];
+ vU_[253] = vU_[269] * vU_[358] + vU_[253] * vU_[68] + vU_[252] * vU_[80];
+ vU_[267] = vU_[267] - jac[352];
+ jac[388] = vU_[249] * 1 / vU_[58] * vU_[65] + vU_[253] * 1 / vU_[58] * vU_[67] + vU_[252] * 1 / vU_[58] * vU_[58] +
+ (vU_[267] * vU_[69] + vU_[255] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[267] * vU_[50] + vU_[255] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[267] = vU_[286] * vU_[356] + vU_[265] * vU_[49] + vU_[266] * vU_[366];
+ vU_[265] = vU_[286] * vU_[358] + vU_[265] * vU_[68] + vU_[266] * vU_[80];
+ vU_[284] = vU_[284] - jac[353];
+ jac[389] = vU_[267] * 1 / vU_[58] * vU_[65] + vU_[265] * 1 / vU_[58] * vU_[67] + vU_[266] * 1 / vU_[58] * vU_[58] +
+ (vU_[284] * vU_[69] + vU_[263] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[284] * vU_[50] + vU_[263] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[284] = vU_[292] * vU_[356] + vU_[282] * vU_[49] + vU_[283] * vU_[366];
+ vU_[282] = vU_[292] * vU_[358] + vU_[282] * vU_[68] + vU_[283] * vU_[80];
+ vU_[296] = vU_[296] - jac[354];
+ jac[390] = vU_[284] * 1 / vU_[58] * vU_[65] + vU_[282] * 1 / vU_[58] * vU_[67] + vU_[283] * 1 / vU_[58] * vU_[58] +
+ (vU_[296] * vU_[69] + vU_[281] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[296] * vU_[50] + vU_[281] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[296] = vU_[315] * vU_[356] + vU_[300] * vU_[49] + vU_[299] * vU_[366];
+ vU_[300] = vU_[315] * vU_[358] + vU_[300] * vU_[68] + vU_[299] * vU_[80];
+ vU_[313] = vU_[313] - jac[355];
+ jac[391] = vU_[296] * 1 / vU_[58] * vU_[65] + vU_[300] * 1 / vU_[58] * vU_[67] + vU_[299] * 1 / vU_[58] * vU_[58] +
+ (vU_[313] * vU_[69] + vU_[303] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[313] * vU_[50] + vU_[303] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[313] = vU_[333] * vU_[356] + vU_[311] * vU_[49] + vU_[312] * vU_[366];
+ vU_[311] = vU_[333] * vU_[358] + vU_[311] * vU_[68] + vU_[312] * vU_[80];
+ vU_[331] = vU_[331] - jac[356];
+ jac[392] = vU_[313] * 1 / vU_[58] * vU_[65] + vU_[311] * 1 / vU_[58] * vU_[67] + vU_[312] * 1 / vU_[58] * vU_[58] +
+ (vU_[331] * vU_[69] + vU_[310] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[331] * vU_[50] + vU_[310] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[331] = vU_[339] * vU_[356] + vU_[329] * vU_[49] + vU_[330] * vU_[366];
+ vU_[329] = vU_[339] * vU_[358] + vU_[329] * vU_[68] + vU_[330] * vU_[80];
+ vU_[343] = vU_[343] - jac[357];
+ jac[393] = vU_[331] * 1 / vU_[58] * vU_[65] + vU_[329] * 1 / vU_[58] * vU_[67] + vU_[330] * 1 / vU_[58] * vU_[58] +
+ (vU_[343] * vU_[69] + vU_[328] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[343] * vU_[50] + vU_[328] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[343] = vU_[363] * vU_[356] + vU_[347] * vU_[49] + vU_[346] * vU_[366];
+ vU_[347] = vU_[363] * vU_[358] + vU_[347] * vU_[68] + vU_[346] * vU_[80];
+ vU_[361] = vU_[361] - jac[358];
+ jac[394] = vU_[354] + vU_[343] * 1 / vU_[58] * vU_[65] + vU_[347] * 1 / vU_[58] * vU_[67] +
+ vU_[346] * 1 / vU_[58] * vU_[58] + (vU_[361] * vU_[69] + vU_[349] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[361] * vU_[50] + vU_[349] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[366] = vU_[380] * vU_[356] + vU_[345] * vU_[49] + vU_[348] * vU_[366];
+ vU_[345] = vU_[380] * vU_[358] + vU_[345] * vU_[68] + vU_[348] * vU_[80];
+ vU_[378] = vU_[378] - jac[359];
+ jac[395] = vU_[372] + vU_[366] * 1 / vU_[58] * vU_[65] + vU_[345] * 1 / vU_[58] * vU_[67] +
+ vU_[348] * 1 / vU_[58] * vU_[58] + (vU_[378] * vU_[69] + vU_[196] * vU_[50]) * 1 / vU_[58] * vU_[77] +
+ (vU_[378] * vU_[50] + vU_[196] * vU_[68]) * 1 / vU_[58] * vU_[81];
+ vU_[302] = vU_[302] - jac[378];
+ jac[414] = (vU_[36] * vU_[52] + vU_[301] * vU_[374] + vU_[302] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[36] * vU_[51] + vU_[301] * vU_[52] + vU_[302] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[302] * 38.1956380581338 * 0.026181;
+ vU_[17] = vU_[17] - jac[379];
+ jac[415] = (vU_[119] * vU_[52] + vU_[166] * vU_[374] + vU_[17] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[119] * vU_[51] + vU_[166] * vU_[52] + vU_[17] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[17] * 38.1956380581338 * 0.026181;
+ vU_[133] = vU_[133] - jac[380];
+ jac[416] = (vU_[114] * vU_[52] + vU_[85] * vU_[374] + vU_[133] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[114] * vU_[51] + vU_[85] * vU_[52] + vU_[133] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[133] * 38.1956380581338 * 0.026181;
+ vU_[121] = vU_[121] - jac[381];
+ jac[417] = (vU_[118] * vU_[52] + vU_[73] * vU_[374] + vU_[121] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[118] * vU_[51] + vU_[73] * vU_[52] + vU_[121] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[121] * 38.1956380581338 * 0.026181;
+ vU_[141] = vU_[141] - jac[382];
+ jac[418] = (vU_[39] * vU_[52] + vU_[87] * vU_[374] + vU_[141] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[39] * vU_[51] + vU_[87] * vU_[52] + vU_[141] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[141] * 38.1956380581338 * 0.026181;
+ vU_[94] = vU_[94] - jac[383];
+ jac[419] = (vU_[183] * vU_[52] + vU_[46] * vU_[374] + vU_[94] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[183] * vU_[51] + vU_[46] * vU_[52] + vU_[94] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[94] * 38.1956380581338 * 0.026181;
+ vU_[219] = vU_[219] - jac[384];
+ jac[420] = (vU_[74] * vU_[52] + vU_[210] * vU_[374] + vU_[219] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[74] * vU_[51] + vU_[210] * vU_[52] + vU_[219] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[219] * 38.1956380581338 * 0.026181;
+ vU_[93] = vU_[93] - jac[385];
+ jac[421] = (vU_[42] * vU_[52] + vU_[33] * vU_[374] + vU_[93] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[42] * vU_[51] + vU_[33] * vU_[52] + vU_[93] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[93] * 38.1956380581338 * 0.026181;
+ vU_[78] = vU_[78] - jac[386];
+ jac[422] = (vU_[204] * vU_[52] + vU_[213] * vU_[374] + vU_[78] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[204] * vU_[51] + vU_[213] * vU_[52] + vU_[78] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[78] * 38.1956380581338 * 0.026181;
+ vU_[234] = vU_[234] - jac[387];
+ jac[423] = (vU_[235] * vU_[52] + vU_[233] * vU_[374] + vU_[234] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[235] * vU_[51] + vU_[233] * vU_[52] + vU_[234] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[234] * 38.1956380581338 * 0.026181;
+ vU_[252] = vU_[252] - jac[388];
+ jac[424] = (vU_[249] * vU_[52] + vU_[253] * vU_[374] + vU_[252] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[249] * vU_[51] + vU_[253] * vU_[52] + vU_[252] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[252] * 38.1956380581338 * 0.026181;
+ vU_[266] = vU_[266] - jac[389];
+ jac[425] = (vU_[267] * vU_[52] + vU_[265] * vU_[374] + vU_[266] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[267] * vU_[51] + vU_[265] * vU_[52] + vU_[266] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[266] * 38.1956380581338 * 0.026181;
+ vU_[283] = vU_[283] - jac[390];
+ jac[426] = (vU_[284] * vU_[52] + vU_[282] * vU_[374] + vU_[283] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[284] * vU_[51] + vU_[282] * vU_[52] + vU_[283] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[283] * 38.1956380581338 * 0.026181;
+ vU_[299] = vU_[299] - jac[391];
+ jac[427] = (vU_[296] * vU_[52] + vU_[300] * vU_[374] + vU_[299] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[296] * vU_[51] + vU_[300] * vU_[52] + vU_[299] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[299] * 38.1956380581338 * 0.026181;
+ vU_[312] = vU_[312] - jac[392];
+ jac[428] = (vU_[313] * vU_[52] + vU_[311] * vU_[374] + vU_[312] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[313] * vU_[51] + vU_[311] * vU_[52] + vU_[312] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[312] * 38.1956380581338 * 0.026181;
+ vU_[330] = vU_[330] - jac[393];
+ jac[429] = (vU_[331] * vU_[52] + vU_[329] * vU_[374] + vU_[330] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[331] * vU_[51] + vU_[329] * vU_[52] + vU_[330] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[330] * 38.1956380581338 * 0.026181;
+ vU_[346] = vU_[346] - jac[394];
+ jac[430] = (vU_[343] * vU_[52] + vU_[347] * vU_[374] + vU_[346] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[343] * vU_[51] + vU_[347] * vU_[52] + vU_[346] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[346] * 38.1956380581338 * 0.026181;
+ vU_[348] = vU_[348] - jac[395];
+ jac[431] = 38.1956380581338 +
+ (vU_[366] * vU_[52] + vU_[345] * vU_[374] + vU_[348] * vU_[370]) * 38.1956380581338 * 0.1104774 +
+ (vU_[366] * vU_[51] + vU_[345] * vU_[52] + vU_[348] * vU_[56]) * 38.1956380581338 * 0.0004405 +
+ vU_[348] * 38.1956380581338 * 0.026181;
+
+
+ return dFdu_;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.h b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.h
new file mode 100644
index 0000000..1ca3f1d
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.h
@@ -0,0 +1,60 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+class HyQWithContactModelLinearizedReverse : public ct::core::LinearSystem<36, 12>
+{
+public:
+ typedef typename Eigen::Matrix<double, 36, 36> state_matrix_t;
+ typedef typename Eigen::Matrix<double, 36, 12> state_control_matrix_t;
+
+ HyQWithContactModelLinearizedReverse(const ct::core::SYSTEM_TYPE& type = ct::core::SYSTEM_TYPE::GENERAL)
+ : ct::core::LinearSystem<36, 12>(type)
+ {
+ initialize();
+ }
+
+ HyQWithContactModelLinearizedReverse(const HyQWithContactModelLinearizedReverse& other) { initialize(); }
+ virtual ~HyQWithContactModelLinearizedReverse(){};
+
+ virtual HyQWithContactModelLinearizedReverse* clone() const override
+ {
+ return new HyQWithContactModelLinearizedReverse;
+ }
+
+ virtual const state_matrix_t& getDerivativeState(const ct::core::StateVector<36>& x,
+ const ct::core::ControlVector<12>& u,
+ const double t = 0.0) override;
+
+ virtual const state_control_matrix_t& getDerivativeControl(const ct::core::StateVector<36>& x,
+ const ct::core::ControlVector<12>& u,
+ const double t = 0.0) override;
+
+private:
+ void initialize()
+ {
+ dFdx_.setZero();
+ dFdu_.setZero();
+ vX_.fill(0.0);
+ vU_.fill(0.0);
+ }
+
+ state_matrix_t dFdx_;
+ state_control_matrix_t dFdu_;
+ std::array<double, 9379> vX_;
+ std::array<double, 383> vU_;
+};
+}
+}
+}
diff --git a/ct_models/include/ct/models/HyQ/generated/CMakeLists.txt b/ct_models/include/ct/models/HyQ/generated/CMakeLists.txt
new file mode 100644
index 0000000..a2fd59d
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/CMakeLists.txt
@@ -0,0 +1,53 @@
+#-------------------------------------------------------------------------------
+#
+# CMake file for the autogenerated C++ code for the robot HyQ
+#
+# ADVanced Robotics department (ADVR)
+# Fondazione Istituto Italiano di Tecnologia
+#
+# Author: Marco Frigerio
+# Note: this file has been generated by the Robotics Code Generator.
+# Do not edit unless you know what you are doing.
+#-------------------------------------------------------------------------------
+
+# Project configuration
+cmake_minimum_required(VERSION 2.8)
+project(gen_hyq)
+
+set(EIGEN_ROOT $ENV{EIGEN_ROOT} CACHE PATH "Path to Eigen headers")
+set(IIT_RBD_ROOT $ENV{IIT_RBD_ROOT} CACHE PATH "Path to iit-rbd headers")
+set(HEADER_INSTALL_ROOT /usr/local/include/ CACHE PATH "Where to install HyQ headers")
+set(LIB_INSTALL_ROOT /usr/local/lib/ CACHE PATH "Where to install HyQ library")
+
+SET(CMAKE_CXX_FLAGS "-g -Wall -O3 -march=native -mtune=native -D EIGEN_NO_DEBUG")
+
+set(LIB_NAME iitgenhyq)
+
+set(HEADERS ./declarations.h
+ ./link_data_map.h
+ ./joint_data_map.h
+ ./transforms.h
+ ./kinematics_parameters.h
+ ./jacobians.h
+ ./traits.h
+ ./jsim.h
+ ./inverse_dynamics.h
+ ./forward_dynamics.h
+ ./inertia_properties.h
+ ./dynamics_parameters.h
+ ./miscellaneous.h)
+set(SOURCES ./miscellaneous.cpp)
+
+
+# Include directories
+include_directories(${EIGEN_ROOT})
+include_directories(${IIT_RBD_ROOT})
+
+# Add library
+add_library(${LIB_NAME} SHARED ${SOURCES})
+
+# Install (ie copy) header files
+install(FILES ${HEADERS} DESTINATION ${HEADER_INSTALL_ROOT}/iit/robots/hyq/)
+
+# Install the shared library
+install(TARGETS ${LIB_NAME} LIBRARY DESTINATION ${LIB_INSTALL_ROOT})
diff --git a/ct_models/include/ct/models/HyQ/generated/declarations.h b/ct_models/include/ct/models/HyQ/generated/declarations.h
new file mode 100644
index 0000000..c42ddde
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/declarations.h
@@ -0,0 +1,65 @@
+#ifndef IIT_ROBOT_HYQ_DECLARATIONS_H_
+#define IIT_ROBOT_HYQ_DECLARATIONS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+
+namespace iit {
+namespace HyQ {
+
+static const int JointSpaceDimension = 12;
+static const int jointsCount = 12;
+/** The total number of rigid bodies of this robot, including the base */
+static const int linksCount = 13;
+
+namespace tpl {
+template <typename SCALAR>
+using Column12d = Eigen::Matrix<SCALAR, 12, 1>;
+
+template <typename SCALAR>
+using JointState = Column12d<SCALAR>;
+}
+
+using Column12d = tpl::Column12d<double>;
+typedef Column12d JointState;
+
+enum JointIdentifiers {
+ LF_HAA = 0
+ , LF_HFE
+ , LF_KFE
+ , RF_HAA
+ , RF_HFE
+ , RF_KFE
+ , LH_HAA
+ , LH_HFE
+ , LH_KFE
+ , RH_HAA
+ , RH_HFE
+ , RH_KFE
+};
+
+enum LinkIdentifiers {
+ TRUNK = 0
+ , LF_HIPASSEMBLY
+ , LF_UPPERLEG
+ , LF_LOWERLEG
+ , RF_HIPASSEMBLY
+ , RF_UPPERLEG
+ , RF_LOWERLEG
+ , LH_HIPASSEMBLY
+ , LH_UPPERLEG
+ , LH_LOWERLEG
+ , RH_HIPASSEMBLY
+ , RH_UPPERLEG
+ , RH_LOWERLEG
+};
+
+static const JointIdentifiers orderedJointIDs[jointsCount] =
+ {LF_HAA,LF_HFE,LF_KFE,RF_HAA,RF_HFE,RF_KFE,LH_HAA,LH_HFE,LH_KFE,RH_HAA,RH_HFE,RH_KFE};
+
+static const LinkIdentifiers orderedLinkIDs[linksCount] =
+ {TRUNK,LF_HIPASSEMBLY,LF_UPPERLEG,LF_LOWERLEG,RF_HIPASSEMBLY,RF_UPPERLEG,RF_LOWERLEG,LH_HIPASSEMBLY,LH_UPPERLEG,LH_LOWERLEG,RH_HIPASSEMBLY,RH_UPPERLEG,RH_LOWERLEG};
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/default_dynparams_getter.h b/ct_models/include/ct/models/HyQ/generated/default_dynparams_getter.h
new file mode 100644
index 0000000..8a40cec
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/default_dynparams_getter.h
@@ -0,0 +1,30 @@
+#ifndef _HYQ_DEFAULT_GETTER_INERTIA_PARAMETERS_
+#define _HYQ_DEFAULT_GETTER_INERTIA_PARAMETERS_
+
+#include "dynamics_parameters.h"
+
+namespace iit {
+namespace HyQ {
+namespace dyn {
+
+class DefaultParamsGetter : public RuntimeParamsGetter
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ DefaultParamsGetter() {
+ resetDefaults();
+ }
+ ~DefaultParamsGetter() {};
+
+ public:
+ void resetDefaults() {
+ }
+
+ private:
+ RuntimeInertiaParams values;
+};
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/dynamics_parameters.h b/ct_models/include/ct/models/HyQ/generated/dynamics_parameters.h
new file mode 100644
index 0000000..79909cc
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/dynamics_parameters.h
@@ -0,0 +1,43 @@
+#ifndef _HYQ_RUNTIME_INERTIA_PARAMETERS_
+#define _HYQ_RUNTIME_INERTIA_PARAMETERS_
+
+namespace iit {
+namespace HyQ {
+namespace dyn {
+/**
+ * \defgroup dynparams Dynamics-parameters
+ * Facilities related to the parameters of the inertia properties of the
+ * robot HyQ.
+ *
+ * Inertia parameters are non-constants used in the robot model, where the
+ * inertia properties (mass, center of mass, intertia tensor) of the links
+ * are specified. Since the value of such parameters must be resolved
+ * at runtime, we sometimes refer to them as "runtime parameters", "runtime
+ * dynamics parameters", "runtime inertia parameters", etc.
+ *
+ * Do not confuse them with the "inertia properties" of links, which
+ * unfortunately, in the literature, are commonly referred to as
+ * "inertia parameters"... Here, the parameters are the non-constant
+ * fields of the inertia properties.
+ */
+
+ /**
+ * A container for the set of non-constant inertia parameters of the robot HyQ
+ * \ingroup dynparams
+ */
+ struct RuntimeInertiaParams {
+ };
+
+ /**
+ * The interface for classes that can compute the actual value of the
+ * non-constant inertia parameters of the robot HyQ.
+ * \ingroup dynparams
+ */
+ class RuntimeParamsGetter {
+ public:
+ };
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/forward_dynamics.h b/ct_models/include/ct/models/HyQ/generated/forward_dynamics.h
new file mode 100644
index 0000000..cfc1cae
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/forward_dynamics.h
@@ -0,0 +1,266 @@
+#ifndef IIT_ROBOT_HYQ_FORWARD_DYNAMICS_H_
+#define IIT_ROBOT_HYQ_FORWARD_DYNAMICS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace HyQ {
+namespace dyn {
+
+/**
+ * The Forward Dynamics routine for the robot HyQ.
+ *
+ * The parameters common to most of the methods are the joint status \c q, the
+ * joint velocities \c qd and the joint forces \c tau. The accelerations \c qdd
+ * will be filled with the computed values. Overloaded methods without the \c q
+ * parameter use the current configuration of the robot; they are provided for
+ * the sake of efficiency, in case the kinematics transforms of the robot have
+ * already been updated elsewhere with the most recent configuration (eg by a
+ * call to setJointStatus()), so that it would be useless to compute them again.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class ForwardDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ // Convenient type aliases:
+
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Column6D Column6DS;
+ typedef typename iit::HyQ::tpl::JointState<Scalar> JointState;
+ typedef typename CoreS::Matrix66 Matrix66S;
+
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+ typedef iit::HyQ::tpl::MotionTransforms<TRAIT> MTransforms;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot HyQ, which will be used by this instance
+ * to compute the dynamics.
+ */
+ ForwardDynamics(iit::HyQ::dyn::tpl::InertiaProperties<TRAIT>& in, MTransforms& tr);
+ /** \name Forward dynamics
+ * The Articulated-Body-Algorithm to compute the joint accelerations
+ */ ///@{
+ /**
+ * \param qdd the joint accelerations vector (output parameter).
+ * \param trunk_a
+ * \param trunk_v
+ * \param g the gravity acceleration vector, expressed in the
+ * base coordinates
+ * \param q the joint status vector
+ * \param qd the joint velocities vector
+ * \param tau the joint forces (torque or force)
+ * \param fext the external forces, optional. Each force must be
+ * expressed in the reference frame of the link it is
+ * exerted on.
+ */
+ void fd(
+ JointState& qdd, Acceleration& trunk_a, // output parameters,
+ const Velocity& trunk_v, const Acceleration& g,
+ const JointState& q, const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ void fd(
+ JointState& qdd, Acceleration& trunk_a, // output parameters,
+ const Velocity& trunk_v, const Acceleration& g,
+ const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** Updates all the kinematics transforms used by this instance. */
+ void setJointStatus(const JointState& q) const;
+
+private:
+ iit::HyQ::dyn::tpl::InertiaProperties<TRAIT>* inertiaProps;
+ MTransforms* motionTransforms;
+
+ Matrix66S vcross; // support variable
+ Matrix66S Ia_r; // support variable, articulated inertia in the case of a revolute joint
+ // Link 'trunk'
+ Matrix66S trunk_AI;
+ Force trunk_p;
+
+ // Link 'LF_hipassembly' :
+ Matrix66S LF_hipassembly_AI;
+ Velocity LF_hipassembly_a;
+ Velocity LF_hipassembly_v;
+ Velocity LF_hipassembly_c;
+ Force LF_hipassembly_p;
+
+ Column6DS LF_hipassembly_U;
+ Scalar LF_hipassembly_D;
+ Scalar LF_hipassembly_u;
+ // Link 'LF_upperleg' :
+ Matrix66S LF_upperleg_AI;
+ Velocity LF_upperleg_a;
+ Velocity LF_upperleg_v;
+ Velocity LF_upperleg_c;
+ Force LF_upperleg_p;
+
+ Column6DS LF_upperleg_U;
+ Scalar LF_upperleg_D;
+ Scalar LF_upperleg_u;
+ // Link 'LF_lowerleg' :
+ Matrix66S LF_lowerleg_AI;
+ Velocity LF_lowerleg_a;
+ Velocity LF_lowerleg_v;
+ Velocity LF_lowerleg_c;
+ Force LF_lowerleg_p;
+
+ Column6DS LF_lowerleg_U;
+ Scalar LF_lowerleg_D;
+ Scalar LF_lowerleg_u;
+ // Link 'RF_hipassembly' :
+ Matrix66S RF_hipassembly_AI;
+ Velocity RF_hipassembly_a;
+ Velocity RF_hipassembly_v;
+ Velocity RF_hipassembly_c;
+ Force RF_hipassembly_p;
+
+ Column6DS RF_hipassembly_U;
+ Scalar RF_hipassembly_D;
+ Scalar RF_hipassembly_u;
+ // Link 'RF_upperleg' :
+ Matrix66S RF_upperleg_AI;
+ Velocity RF_upperleg_a;
+ Velocity RF_upperleg_v;
+ Velocity RF_upperleg_c;
+ Force RF_upperleg_p;
+
+ Column6DS RF_upperleg_U;
+ Scalar RF_upperleg_D;
+ Scalar RF_upperleg_u;
+ // Link 'RF_lowerleg' :
+ Matrix66S RF_lowerleg_AI;
+ Velocity RF_lowerleg_a;
+ Velocity RF_lowerleg_v;
+ Velocity RF_lowerleg_c;
+ Force RF_lowerleg_p;
+
+ Column6DS RF_lowerleg_U;
+ Scalar RF_lowerleg_D;
+ Scalar RF_lowerleg_u;
+ // Link 'LH_hipassembly' :
+ Matrix66S LH_hipassembly_AI;
+ Velocity LH_hipassembly_a;
+ Velocity LH_hipassembly_v;
+ Velocity LH_hipassembly_c;
+ Force LH_hipassembly_p;
+
+ Column6DS LH_hipassembly_U;
+ Scalar LH_hipassembly_D;
+ Scalar LH_hipassembly_u;
+ // Link 'LH_upperleg' :
+ Matrix66S LH_upperleg_AI;
+ Velocity LH_upperleg_a;
+ Velocity LH_upperleg_v;
+ Velocity LH_upperleg_c;
+ Force LH_upperleg_p;
+
+ Column6DS LH_upperleg_U;
+ Scalar LH_upperleg_D;
+ Scalar LH_upperleg_u;
+ // Link 'LH_lowerleg' :
+ Matrix66S LH_lowerleg_AI;
+ Velocity LH_lowerleg_a;
+ Velocity LH_lowerleg_v;
+ Velocity LH_lowerleg_c;
+ Force LH_lowerleg_p;
+
+ Column6DS LH_lowerleg_U;
+ Scalar LH_lowerleg_D;
+ Scalar LH_lowerleg_u;
+ // Link 'RH_hipassembly' :
+ Matrix66S RH_hipassembly_AI;
+ Velocity RH_hipassembly_a;
+ Velocity RH_hipassembly_v;
+ Velocity RH_hipassembly_c;
+ Force RH_hipassembly_p;
+
+ Column6DS RH_hipassembly_U;
+ Scalar RH_hipassembly_D;
+ Scalar RH_hipassembly_u;
+ // Link 'RH_upperleg' :
+ Matrix66S RH_upperleg_AI;
+ Velocity RH_upperleg_a;
+ Velocity RH_upperleg_v;
+ Velocity RH_upperleg_c;
+ Force RH_upperleg_p;
+
+ Column6DS RH_upperleg_U;
+ Scalar RH_upperleg_D;
+ Scalar RH_upperleg_u;
+ // Link 'RH_lowerleg' :
+ Matrix66S RH_lowerleg_AI;
+ Velocity RH_lowerleg_a;
+ Velocity RH_lowerleg_v;
+ Velocity RH_lowerleg_c;
+ Force RH_lowerleg_p;
+
+ Column6DS RH_lowerleg_U;
+ Scalar RH_lowerleg_D;
+ Scalar RH_lowerleg_u;
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::setJointStatus(const JointState& q) const {
+ (motionTransforms-> fr_LF_hipassembly_X_fr_trunk)(q);
+ (motionTransforms-> fr_LF_upperleg_X_fr_LF_hipassembly)(q);
+ (motionTransforms-> fr_LF_lowerleg_X_fr_LF_upperleg)(q);
+ (motionTransforms-> fr_RF_hipassembly_X_fr_trunk)(q);
+ (motionTransforms-> fr_RF_upperleg_X_fr_RF_hipassembly)(q);
+ (motionTransforms-> fr_RF_lowerleg_X_fr_RF_upperleg)(q);
+ (motionTransforms-> fr_LH_hipassembly_X_fr_trunk)(q);
+ (motionTransforms-> fr_LH_upperleg_X_fr_LH_hipassembly)(q);
+ (motionTransforms-> fr_LH_lowerleg_X_fr_LH_upperleg)(q);
+ (motionTransforms-> fr_RH_hipassembly_X_fr_trunk)(q);
+ (motionTransforms-> fr_RH_upperleg_X_fr_RH_hipassembly)(q);
+ (motionTransforms-> fr_RH_lowerleg_X_fr_RH_upperleg)(q);
+}
+
+template<typename TRAIT>
+inline void ForwardDynamics<TRAIT>::fd(
+ JointState& qdd, Acceleration& trunk_a, // output parameters,
+ const Velocity& trunk_v, const Acceleration& g,
+ const JointState& q,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+ setJointStatus(q);
+ fd(qdd, trunk_a, trunk_v, g, qd, tau, fext);
+}
+
+}
+
+typedef tpl::ForwardDynamics<rbd::DoubleTrait> ForwardDynamics;
+
+}
+}
+}
+
+#include "forward_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/forward_dynamics.impl.h b/ct_models/include/ct/models/HyQ/generated/forward_dynamics.impl.h
new file mode 100644
index 0000000..b592d38
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/forward_dynamics.impl.h
@@ -0,0 +1,423 @@
+
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::HyQ::dyn::tpl::ForwardDynamics<TRAIT>::ExtForces
+ iit::HyQ::dyn::tpl::ForwardDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::HyQ::dyn::tpl::ForwardDynamics<TRAIT>::ForwardDynamics(iit::HyQ::dyn::tpl::InertiaProperties<TRAIT>& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ motionTransforms( & transforms )
+{
+ LF_hipassembly_v.setZero();
+ LF_hipassembly_c.setZero();
+ LF_upperleg_v.setZero();
+ LF_upperleg_c.setZero();
+ LF_lowerleg_v.setZero();
+ LF_lowerleg_c.setZero();
+ RF_hipassembly_v.setZero();
+ RF_hipassembly_c.setZero();
+ RF_upperleg_v.setZero();
+ RF_upperleg_c.setZero();
+ RF_lowerleg_v.setZero();
+ RF_lowerleg_c.setZero();
+ LH_hipassembly_v.setZero();
+ LH_hipassembly_c.setZero();
+ LH_upperleg_v.setZero();
+ LH_upperleg_c.setZero();
+ LH_lowerleg_v.setZero();
+ LH_lowerleg_c.setZero();
+ RH_hipassembly_v.setZero();
+ RH_hipassembly_c.setZero();
+ RH_upperleg_v.setZero();
+ RH_upperleg_c.setZero();
+ RH_lowerleg_v.setZero();
+ RH_lowerleg_c.setZero();
+
+ vcross.setZero();
+ Ia_r.setZero();
+
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ Acceleration& trunk_a,
+ const Velocity& trunk_v,
+ const Acceleration& g,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+
+ trunk_AI = inertiaProps->getTensor_trunk();
+ trunk_p = - fext[TRUNK];
+ LF_hipassembly_AI = inertiaProps->getTensor_LF_hipassembly();
+ LF_hipassembly_p = - fext[LF_HIPASSEMBLY];
+ LF_upperleg_AI = inertiaProps->getTensor_LF_upperleg();
+ LF_upperleg_p = - fext[LF_UPPERLEG];
+ LF_lowerleg_AI = inertiaProps->getTensor_LF_lowerleg();
+ LF_lowerleg_p = - fext[LF_LOWERLEG];
+ RF_hipassembly_AI = inertiaProps->getTensor_RF_hipassembly();
+ RF_hipassembly_p = - fext[RF_HIPASSEMBLY];
+ RF_upperleg_AI = inertiaProps->getTensor_RF_upperleg();
+ RF_upperleg_p = - fext[RF_UPPERLEG];
+ RF_lowerleg_AI = inertiaProps->getTensor_RF_lowerleg();
+ RF_lowerleg_p = - fext[RF_LOWERLEG];
+ LH_hipassembly_AI = inertiaProps->getTensor_LH_hipassembly();
+ LH_hipassembly_p = - fext[LH_HIPASSEMBLY];
+ LH_upperleg_AI = inertiaProps->getTensor_LH_upperleg();
+ LH_upperleg_p = - fext[LH_UPPERLEG];
+ LH_lowerleg_AI = inertiaProps->getTensor_LH_lowerleg();
+ LH_lowerleg_p = - fext[LH_LOWERLEG];
+ RH_hipassembly_AI = inertiaProps->getTensor_RH_hipassembly();
+ RH_hipassembly_p = - fext[RH_HIPASSEMBLY];
+ RH_upperleg_AI = inertiaProps->getTensor_RH_upperleg();
+ RH_upperleg_p = - fext[RH_UPPERLEG];
+ RH_lowerleg_AI = inertiaProps->getTensor_RH_lowerleg();
+ RH_lowerleg_p = - fext[RH_LOWERLEG];
+ // ---------------------- FIRST PASS ---------------------- //
+ // Note that, during the first pass, the articulated inertias are really
+ // just the spatial inertia of the links (see assignments above).
+ // Afterwards things change, and articulated inertias shall not be used
+ // in functions which work specifically with spatial inertias.
+
+ // + Link LF_hipassembly
+ // - The spatial velocity:
+ LF_hipassembly_v = (motionTransforms-> fr_LF_hipassembly_X_fr_trunk) * trunk_v;
+ LF_hipassembly_v(iit::rbd::AZ) += qd(LF_HAA);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(LF_hipassembly_v, vcross);
+ LF_hipassembly_c = vcross.col(iit::rbd::AZ) * qd(LF_HAA);
+
+ // - The bias force term:
+ LF_hipassembly_p += iit::rbd::vxIv(LF_hipassembly_v, LF_hipassembly_AI);
+
+ // + Link LF_upperleg
+ // - The spatial velocity:
+ LF_upperleg_v = (motionTransforms-> fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_v;
+ LF_upperleg_v(iit::rbd::AZ) += qd(LF_HFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(LF_upperleg_v, vcross);
+ LF_upperleg_c = vcross.col(iit::rbd::AZ) * qd(LF_HFE);
+
+ // - The bias force term:
+ LF_upperleg_p += iit::rbd::vxIv(LF_upperleg_v, LF_upperleg_AI);
+
+ // + Link LF_lowerleg
+ // - The spatial velocity:
+ LF_lowerleg_v = (motionTransforms-> fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_v;
+ LF_lowerleg_v(iit::rbd::AZ) += qd(LF_KFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(LF_lowerleg_v, vcross);
+ LF_lowerleg_c = vcross.col(iit::rbd::AZ) * qd(LF_KFE);
+
+ // - The bias force term:
+ LF_lowerleg_p += iit::rbd::vxIv(LF_lowerleg_v, LF_lowerleg_AI);
+
+ // + Link RF_hipassembly
+ // - The spatial velocity:
+ RF_hipassembly_v = (motionTransforms-> fr_RF_hipassembly_X_fr_trunk) * trunk_v;
+ RF_hipassembly_v(iit::rbd::AZ) += qd(RF_HAA);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(RF_hipassembly_v, vcross);
+ RF_hipassembly_c = vcross.col(iit::rbd::AZ) * qd(RF_HAA);
+
+ // - The bias force term:
+ RF_hipassembly_p += iit::rbd::vxIv(RF_hipassembly_v, RF_hipassembly_AI);
+
+ // + Link RF_upperleg
+ // - The spatial velocity:
+ RF_upperleg_v = (motionTransforms-> fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_v;
+ RF_upperleg_v(iit::rbd::AZ) += qd(RF_HFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(RF_upperleg_v, vcross);
+ RF_upperleg_c = vcross.col(iit::rbd::AZ) * qd(RF_HFE);
+
+ // - The bias force term:
+ RF_upperleg_p += iit::rbd::vxIv(RF_upperleg_v, RF_upperleg_AI);
+
+ // + Link RF_lowerleg
+ // - The spatial velocity:
+ RF_lowerleg_v = (motionTransforms-> fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_v;
+ RF_lowerleg_v(iit::rbd::AZ) += qd(RF_KFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(RF_lowerleg_v, vcross);
+ RF_lowerleg_c = vcross.col(iit::rbd::AZ) * qd(RF_KFE);
+
+ // - The bias force term:
+ RF_lowerleg_p += iit::rbd::vxIv(RF_lowerleg_v, RF_lowerleg_AI);
+
+ // + Link LH_hipassembly
+ // - The spatial velocity:
+ LH_hipassembly_v = (motionTransforms-> fr_LH_hipassembly_X_fr_trunk) * trunk_v;
+ LH_hipassembly_v(iit::rbd::AZ) += qd(LH_HAA);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(LH_hipassembly_v, vcross);
+ LH_hipassembly_c = vcross.col(iit::rbd::AZ) * qd(LH_HAA);
+
+ // - The bias force term:
+ LH_hipassembly_p += iit::rbd::vxIv(LH_hipassembly_v, LH_hipassembly_AI);
+
+ // + Link LH_upperleg
+ // - The spatial velocity:
+ LH_upperleg_v = (motionTransforms-> fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_v;
+ LH_upperleg_v(iit::rbd::AZ) += qd(LH_HFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(LH_upperleg_v, vcross);
+ LH_upperleg_c = vcross.col(iit::rbd::AZ) * qd(LH_HFE);
+
+ // - The bias force term:
+ LH_upperleg_p += iit::rbd::vxIv(LH_upperleg_v, LH_upperleg_AI);
+
+ // + Link LH_lowerleg
+ // - The spatial velocity:
+ LH_lowerleg_v = (motionTransforms-> fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_v;
+ LH_lowerleg_v(iit::rbd::AZ) += qd(LH_KFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(LH_lowerleg_v, vcross);
+ LH_lowerleg_c = vcross.col(iit::rbd::AZ) * qd(LH_KFE);
+
+ // - The bias force term:
+ LH_lowerleg_p += iit::rbd::vxIv(LH_lowerleg_v, LH_lowerleg_AI);
+
+ // + Link RH_hipassembly
+ // - The spatial velocity:
+ RH_hipassembly_v = (motionTransforms-> fr_RH_hipassembly_X_fr_trunk) * trunk_v;
+ RH_hipassembly_v(iit::rbd::AZ) += qd(RH_HAA);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(RH_hipassembly_v, vcross);
+ RH_hipassembly_c = vcross.col(iit::rbd::AZ) * qd(RH_HAA);
+
+ // - The bias force term:
+ RH_hipassembly_p += iit::rbd::vxIv(RH_hipassembly_v, RH_hipassembly_AI);
+
+ // + Link RH_upperleg
+ // - The spatial velocity:
+ RH_upperleg_v = (motionTransforms-> fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_v;
+ RH_upperleg_v(iit::rbd::AZ) += qd(RH_HFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(RH_upperleg_v, vcross);
+ RH_upperleg_c = vcross.col(iit::rbd::AZ) * qd(RH_HFE);
+
+ // - The bias force term:
+ RH_upperleg_p += iit::rbd::vxIv(RH_upperleg_v, RH_upperleg_AI);
+
+ // + Link RH_lowerleg
+ // - The spatial velocity:
+ RH_lowerleg_v = (motionTransforms-> fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_v;
+ RH_lowerleg_v(iit::rbd::AZ) += qd(RH_KFE);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<Scalar>(RH_lowerleg_v, vcross);
+ RH_lowerleg_c = vcross.col(iit::rbd::AZ) * qd(RH_KFE);
+
+ // - The bias force term:
+ RH_lowerleg_p += iit::rbd::vxIv(RH_lowerleg_v, RH_lowerleg_AI);
+
+ // + The floating base body
+ trunk_p += iit::rbd::vxIv(trunk_v, trunk_AI);
+
+ // ---------------------- SECOND PASS ---------------------- //
+ Matrix66S IaB;
+ Force pa;
+
+ // + Link RH_lowerleg
+ RH_lowerleg_u = tau(RH_KFE) - RH_lowerleg_p(iit::rbd::AZ);
+ RH_lowerleg_U = RH_lowerleg_AI.col(iit::rbd::AZ);
+ RH_lowerleg_D = RH_lowerleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(RH_lowerleg_AI, RH_lowerleg_U, RH_lowerleg_D, Ia_r); // same as: Ia_r = RH_lowerleg_AI - RH_lowerleg_U/RH_lowerleg_D * RH_lowerleg_U.transpose();
+ pa = RH_lowerleg_p + Ia_r * RH_lowerleg_c + RH_lowerleg_U * RH_lowerleg_u/RH_lowerleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_RH_lowerleg_X_fr_RH_upperleg, IaB);
+ RH_upperleg_AI += IaB;
+ RH_upperleg_p += (motionTransforms-> fr_RH_lowerleg_X_fr_RH_upperleg).transpose() * pa;
+
+ // + Link RH_upperleg
+ RH_upperleg_u = tau(RH_HFE) - RH_upperleg_p(iit::rbd::AZ);
+ RH_upperleg_U = RH_upperleg_AI.col(iit::rbd::AZ);
+ RH_upperleg_D = RH_upperleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(RH_upperleg_AI, RH_upperleg_U, RH_upperleg_D, Ia_r); // same as: Ia_r = RH_upperleg_AI - RH_upperleg_U/RH_upperleg_D * RH_upperleg_U.transpose();
+ pa = RH_upperleg_p + Ia_r * RH_upperleg_c + RH_upperleg_U * RH_upperleg_u/RH_upperleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_RH_upperleg_X_fr_RH_hipassembly, IaB);
+ RH_hipassembly_AI += IaB;
+ RH_hipassembly_p += (motionTransforms-> fr_RH_upperleg_X_fr_RH_hipassembly).transpose() * pa;
+
+ // + Link RH_hipassembly
+ RH_hipassembly_u = tau(RH_HAA) - RH_hipassembly_p(iit::rbd::AZ);
+ RH_hipassembly_U = RH_hipassembly_AI.col(iit::rbd::AZ);
+ RH_hipassembly_D = RH_hipassembly_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(RH_hipassembly_AI, RH_hipassembly_U, RH_hipassembly_D, Ia_r); // same as: Ia_r = RH_hipassembly_AI - RH_hipassembly_U/RH_hipassembly_D * RH_hipassembly_U.transpose();
+ pa = RH_hipassembly_p + Ia_r * RH_hipassembly_c + RH_hipassembly_U * RH_hipassembly_u/RH_hipassembly_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_RH_hipassembly_X_fr_trunk, IaB);
+ trunk_AI += IaB;
+ trunk_p += (motionTransforms-> fr_RH_hipassembly_X_fr_trunk).transpose() * pa;
+
+ // + Link LH_lowerleg
+ LH_lowerleg_u = tau(LH_KFE) - LH_lowerleg_p(iit::rbd::AZ);
+ LH_lowerleg_U = LH_lowerleg_AI.col(iit::rbd::AZ);
+ LH_lowerleg_D = LH_lowerleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(LH_lowerleg_AI, LH_lowerleg_U, LH_lowerleg_D, Ia_r); // same as: Ia_r = LH_lowerleg_AI - LH_lowerleg_U/LH_lowerleg_D * LH_lowerleg_U.transpose();
+ pa = LH_lowerleg_p + Ia_r * LH_lowerleg_c + LH_lowerleg_U * LH_lowerleg_u/LH_lowerleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_LH_lowerleg_X_fr_LH_upperleg, IaB);
+ LH_upperleg_AI += IaB;
+ LH_upperleg_p += (motionTransforms-> fr_LH_lowerleg_X_fr_LH_upperleg).transpose() * pa;
+
+ // + Link LH_upperleg
+ LH_upperleg_u = tau(LH_HFE) - LH_upperleg_p(iit::rbd::AZ);
+ LH_upperleg_U = LH_upperleg_AI.col(iit::rbd::AZ);
+ LH_upperleg_D = LH_upperleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(LH_upperleg_AI, LH_upperleg_U, LH_upperleg_D, Ia_r); // same as: Ia_r = LH_upperleg_AI - LH_upperleg_U/LH_upperleg_D * LH_upperleg_U.transpose();
+ pa = LH_upperleg_p + Ia_r * LH_upperleg_c + LH_upperleg_U * LH_upperleg_u/LH_upperleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_LH_upperleg_X_fr_LH_hipassembly, IaB);
+ LH_hipassembly_AI += IaB;
+ LH_hipassembly_p += (motionTransforms-> fr_LH_upperleg_X_fr_LH_hipassembly).transpose() * pa;
+
+ // + Link LH_hipassembly
+ LH_hipassembly_u = tau(LH_HAA) - LH_hipassembly_p(iit::rbd::AZ);
+ LH_hipassembly_U = LH_hipassembly_AI.col(iit::rbd::AZ);
+ LH_hipassembly_D = LH_hipassembly_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(LH_hipassembly_AI, LH_hipassembly_U, LH_hipassembly_D, Ia_r); // same as: Ia_r = LH_hipassembly_AI - LH_hipassembly_U/LH_hipassembly_D * LH_hipassembly_U.transpose();
+ pa = LH_hipassembly_p + Ia_r * LH_hipassembly_c + LH_hipassembly_U * LH_hipassembly_u/LH_hipassembly_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_LH_hipassembly_X_fr_trunk, IaB);
+ trunk_AI += IaB;
+ trunk_p += (motionTransforms-> fr_LH_hipassembly_X_fr_trunk).transpose() * pa;
+
+ // + Link RF_lowerleg
+ RF_lowerleg_u = tau(RF_KFE) - RF_lowerleg_p(iit::rbd::AZ);
+ RF_lowerleg_U = RF_lowerleg_AI.col(iit::rbd::AZ);
+ RF_lowerleg_D = RF_lowerleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(RF_lowerleg_AI, RF_lowerleg_U, RF_lowerleg_D, Ia_r); // same as: Ia_r = RF_lowerleg_AI - RF_lowerleg_U/RF_lowerleg_D * RF_lowerleg_U.transpose();
+ pa = RF_lowerleg_p + Ia_r * RF_lowerleg_c + RF_lowerleg_U * RF_lowerleg_u/RF_lowerleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_RF_lowerleg_X_fr_RF_upperleg, IaB);
+ RF_upperleg_AI += IaB;
+ RF_upperleg_p += (motionTransforms-> fr_RF_lowerleg_X_fr_RF_upperleg).transpose() * pa;
+
+ // + Link RF_upperleg
+ RF_upperleg_u = tau(RF_HFE) - RF_upperleg_p(iit::rbd::AZ);
+ RF_upperleg_U = RF_upperleg_AI.col(iit::rbd::AZ);
+ RF_upperleg_D = RF_upperleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(RF_upperleg_AI, RF_upperleg_U, RF_upperleg_D, Ia_r); // same as: Ia_r = RF_upperleg_AI - RF_upperleg_U/RF_upperleg_D * RF_upperleg_U.transpose();
+ pa = RF_upperleg_p + Ia_r * RF_upperleg_c + RF_upperleg_U * RF_upperleg_u/RF_upperleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_RF_upperleg_X_fr_RF_hipassembly, IaB);
+ RF_hipassembly_AI += IaB;
+ RF_hipassembly_p += (motionTransforms-> fr_RF_upperleg_X_fr_RF_hipassembly).transpose() * pa;
+
+ // + Link RF_hipassembly
+ RF_hipassembly_u = tau(RF_HAA) - RF_hipassembly_p(iit::rbd::AZ);
+ RF_hipassembly_U = RF_hipassembly_AI.col(iit::rbd::AZ);
+ RF_hipassembly_D = RF_hipassembly_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(RF_hipassembly_AI, RF_hipassembly_U, RF_hipassembly_D, Ia_r); // same as: Ia_r = RF_hipassembly_AI - RF_hipassembly_U/RF_hipassembly_D * RF_hipassembly_U.transpose();
+ pa = RF_hipassembly_p + Ia_r * RF_hipassembly_c + RF_hipassembly_U * RF_hipassembly_u/RF_hipassembly_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_RF_hipassembly_X_fr_trunk, IaB);
+ trunk_AI += IaB;
+ trunk_p += (motionTransforms-> fr_RF_hipassembly_X_fr_trunk).transpose() * pa;
+
+ // + Link LF_lowerleg
+ LF_lowerleg_u = tau(LF_KFE) - LF_lowerleg_p(iit::rbd::AZ);
+ LF_lowerleg_U = LF_lowerleg_AI.col(iit::rbd::AZ);
+ LF_lowerleg_D = LF_lowerleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(LF_lowerleg_AI, LF_lowerleg_U, LF_lowerleg_D, Ia_r); // same as: Ia_r = LF_lowerleg_AI - LF_lowerleg_U/LF_lowerleg_D * LF_lowerleg_U.transpose();
+ pa = LF_lowerleg_p + Ia_r * LF_lowerleg_c + LF_lowerleg_U * LF_lowerleg_u/LF_lowerleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_LF_lowerleg_X_fr_LF_upperleg, IaB);
+ LF_upperleg_AI += IaB;
+ LF_upperleg_p += (motionTransforms-> fr_LF_lowerleg_X_fr_LF_upperleg).transpose() * pa;
+
+ // + Link LF_upperleg
+ LF_upperleg_u = tau(LF_HFE) - LF_upperleg_p(iit::rbd::AZ);
+ LF_upperleg_U = LF_upperleg_AI.col(iit::rbd::AZ);
+ LF_upperleg_D = LF_upperleg_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(LF_upperleg_AI, LF_upperleg_U, LF_upperleg_D, Ia_r); // same as: Ia_r = LF_upperleg_AI - LF_upperleg_U/LF_upperleg_D * LF_upperleg_U.transpose();
+ pa = LF_upperleg_p + Ia_r * LF_upperleg_c + LF_upperleg_U * LF_upperleg_u/LF_upperleg_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_LF_upperleg_X_fr_LF_hipassembly, IaB);
+ LF_hipassembly_AI += IaB;
+ LF_hipassembly_p += (motionTransforms-> fr_LF_upperleg_X_fr_LF_hipassembly).transpose() * pa;
+
+ // + Link LF_hipassembly
+ LF_hipassembly_u = tau(LF_HAA) - LF_hipassembly_p(iit::rbd::AZ);
+ LF_hipassembly_U = LF_hipassembly_AI.col(iit::rbd::AZ);
+ LF_hipassembly_D = LF_hipassembly_U(iit::rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(LF_hipassembly_AI, LF_hipassembly_U, LF_hipassembly_D, Ia_r); // same as: Ia_r = LF_hipassembly_AI - LF_hipassembly_U/LF_hipassembly_D * LF_hipassembly_U.transpose();
+ pa = LF_hipassembly_p + Ia_r * LF_hipassembly_c + LF_hipassembly_U * LF_hipassembly_u/LF_hipassembly_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_LF_hipassembly_X_fr_trunk, IaB);
+ trunk_AI += IaB;
+ trunk_p += (motionTransforms-> fr_LF_hipassembly_X_fr_trunk).transpose() * pa;
+
+ // + The acceleration of the floating base trunk, without gravity
+ trunk_a = - TRAIT::solve(trunk_AI, trunk_p); // trunk_a = - IA^-1 * trunk_p
+
+ // ---------------------- THIRD PASS ---------------------- //
+ LF_hipassembly_a = (motionTransforms-> fr_LF_hipassembly_X_fr_trunk) * trunk_a + LF_hipassembly_c;
+ qdd(LF_HAA) = (LF_hipassembly_u - LF_hipassembly_U.dot(LF_hipassembly_a)) / LF_hipassembly_D;
+ LF_hipassembly_a(iit::rbd::AZ) += qdd(LF_HAA);
+
+ LF_upperleg_a = (motionTransforms-> fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_a + LF_upperleg_c;
+ qdd(LF_HFE) = (LF_upperleg_u - LF_upperleg_U.dot(LF_upperleg_a)) / LF_upperleg_D;
+ LF_upperleg_a(iit::rbd::AZ) += qdd(LF_HFE);
+
+ LF_lowerleg_a = (motionTransforms-> fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_a + LF_lowerleg_c;
+ qdd(LF_KFE) = (LF_lowerleg_u - LF_lowerleg_U.dot(LF_lowerleg_a)) / LF_lowerleg_D;
+ LF_lowerleg_a(iit::rbd::AZ) += qdd(LF_KFE);
+
+ RF_hipassembly_a = (motionTransforms-> fr_RF_hipassembly_X_fr_trunk) * trunk_a + RF_hipassembly_c;
+ qdd(RF_HAA) = (RF_hipassembly_u - RF_hipassembly_U.dot(RF_hipassembly_a)) / RF_hipassembly_D;
+ RF_hipassembly_a(iit::rbd::AZ) += qdd(RF_HAA);
+
+ RF_upperleg_a = (motionTransforms-> fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_a + RF_upperleg_c;
+ qdd(RF_HFE) = (RF_upperleg_u - RF_upperleg_U.dot(RF_upperleg_a)) / RF_upperleg_D;
+ RF_upperleg_a(iit::rbd::AZ) += qdd(RF_HFE);
+
+ RF_lowerleg_a = (motionTransforms-> fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_a + RF_lowerleg_c;
+ qdd(RF_KFE) = (RF_lowerleg_u - RF_lowerleg_U.dot(RF_lowerleg_a)) / RF_lowerleg_D;
+ RF_lowerleg_a(iit::rbd::AZ) += qdd(RF_KFE);
+
+ LH_hipassembly_a = (motionTransforms-> fr_LH_hipassembly_X_fr_trunk) * trunk_a + LH_hipassembly_c;
+ qdd(LH_HAA) = (LH_hipassembly_u - LH_hipassembly_U.dot(LH_hipassembly_a)) / LH_hipassembly_D;
+ LH_hipassembly_a(iit::rbd::AZ) += qdd(LH_HAA);
+
+ LH_upperleg_a = (motionTransforms-> fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_a + LH_upperleg_c;
+ qdd(LH_HFE) = (LH_upperleg_u - LH_upperleg_U.dot(LH_upperleg_a)) / LH_upperleg_D;
+ LH_upperleg_a(iit::rbd::AZ) += qdd(LH_HFE);
+
+ LH_lowerleg_a = (motionTransforms-> fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_a + LH_lowerleg_c;
+ qdd(LH_KFE) = (LH_lowerleg_u - LH_lowerleg_U.dot(LH_lowerleg_a)) / LH_lowerleg_D;
+ LH_lowerleg_a(iit::rbd::AZ) += qdd(LH_KFE);
+
+ RH_hipassembly_a = (motionTransforms-> fr_RH_hipassembly_X_fr_trunk) * trunk_a + RH_hipassembly_c;
+ qdd(RH_HAA) = (RH_hipassembly_u - RH_hipassembly_U.dot(RH_hipassembly_a)) / RH_hipassembly_D;
+ RH_hipassembly_a(iit::rbd::AZ) += qdd(RH_HAA);
+
+ RH_upperleg_a = (motionTransforms-> fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_a + RH_upperleg_c;
+ qdd(RH_HFE) = (RH_upperleg_u - RH_upperleg_U.dot(RH_upperleg_a)) / RH_upperleg_D;
+ RH_upperleg_a(iit::rbd::AZ) += qdd(RH_HFE);
+
+ RH_lowerleg_a = (motionTransforms-> fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_a + RH_lowerleg_c;
+ qdd(RH_KFE) = (RH_lowerleg_u - RH_lowerleg_U.dot(RH_lowerleg_a)) / RH_lowerleg_D;
+ RH_lowerleg_a(iit::rbd::AZ) += qdd(RH_KFE);
+
+
+ // + Add gravity to the acceleration of the floating base
+ trunk_a += g;
+}
diff --git a/ct_models/include/ct/models/HyQ/generated/inertia_properties.h b/ct_models/include/ct/models/HyQ/generated/inertia_properties.h
new file mode 100644
index 0000000..6da51e0
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/inertia_properties.h
@@ -0,0 +1,283 @@
+#ifndef IIT_ROBOT_HYQ_INERTIA_PROPERTIES_H_
+#define IIT_ROBOT_HYQ_INERTIA_PROPERTIES_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+
+namespace iit {
+namespace HyQ {
+/**
+ * This namespace encloses classes and functions related to the Dynamics
+ * of the robot HyQ.
+ */
+namespace dyn {
+
+using InertiaMatrix = iit::rbd::InertiaMatrixDense;
+
+namespace tpl {
+
+template <typename TRAIT>
+class InertiaProperties {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+ typedef iit::rbd::Core<Scalar> CoreS;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> IMatrix;
+ typedef typename CoreS::Vector3 Vec3d;
+
+ InertiaProperties();
+ ~InertiaProperties();
+ const IMatrix& getTensor_trunk() const;
+ const IMatrix& getTensor_LF_hipassembly() const;
+ const IMatrix& getTensor_LF_upperleg() const;
+ const IMatrix& getTensor_LF_lowerleg() const;
+ const IMatrix& getTensor_RF_hipassembly() const;
+ const IMatrix& getTensor_RF_upperleg() const;
+ const IMatrix& getTensor_RF_lowerleg() const;
+ const IMatrix& getTensor_LH_hipassembly() const;
+ const IMatrix& getTensor_LH_upperleg() const;
+ const IMatrix& getTensor_LH_lowerleg() const;
+ const IMatrix& getTensor_RH_hipassembly() const;
+ const IMatrix& getTensor_RH_upperleg() const;
+ const IMatrix& getTensor_RH_lowerleg() const;
+ Scalar getMass_trunk() const;
+ Scalar getMass_LF_hipassembly() const;
+ Scalar getMass_LF_upperleg() const;
+ Scalar getMass_LF_lowerleg() const;
+ Scalar getMass_RF_hipassembly() const;
+ Scalar getMass_RF_upperleg() const;
+ Scalar getMass_RF_lowerleg() const;
+ Scalar getMass_LH_hipassembly() const;
+ Scalar getMass_LH_upperleg() const;
+ Scalar getMass_LH_lowerleg() const;
+ Scalar getMass_RH_hipassembly() const;
+ Scalar getMass_RH_upperleg() const;
+ Scalar getMass_RH_lowerleg() const;
+ const Vec3d& getCOM_trunk() const;
+ const Vec3d& getCOM_LF_hipassembly() const;
+ const Vec3d& getCOM_LF_upperleg() const;
+ const Vec3d& getCOM_LF_lowerleg() const;
+ const Vec3d& getCOM_RF_hipassembly() const;
+ const Vec3d& getCOM_RF_upperleg() const;
+ const Vec3d& getCOM_RF_lowerleg() const;
+ const Vec3d& getCOM_LH_hipassembly() const;
+ const Vec3d& getCOM_LH_upperleg() const;
+ const Vec3d& getCOM_LH_lowerleg() const;
+ const Vec3d& getCOM_RH_hipassembly() const;
+ const Vec3d& getCOM_RH_upperleg() const;
+ const Vec3d& getCOM_RH_lowerleg() const;
+ Scalar getTotalMass() const;
+
+ private:
+
+ IMatrix tensor_trunk;
+ IMatrix tensor_LF_hipassembly;
+ IMatrix tensor_LF_upperleg;
+ IMatrix tensor_LF_lowerleg;
+ IMatrix tensor_RF_hipassembly;
+ IMatrix tensor_RF_upperleg;
+ IMatrix tensor_RF_lowerleg;
+ IMatrix tensor_LH_hipassembly;
+ IMatrix tensor_LH_upperleg;
+ IMatrix tensor_LH_lowerleg;
+ IMatrix tensor_RH_hipassembly;
+ IMatrix tensor_RH_upperleg;
+ IMatrix tensor_RH_lowerleg;
+ Vec3d com_trunk;
+ Vec3d com_LF_hipassembly;
+ Vec3d com_LF_upperleg;
+ Vec3d com_LF_lowerleg;
+ Vec3d com_RF_hipassembly;
+ Vec3d com_RF_upperleg;
+ Vec3d com_RF_lowerleg;
+ Vec3d com_LH_hipassembly;
+ Vec3d com_LH_upperleg;
+ Vec3d com_LH_lowerleg;
+ Vec3d com_RH_hipassembly;
+ Vec3d com_RH_upperleg;
+ Vec3d com_RH_lowerleg;
+};
+
+template <typename TRAIT>
+inline InertiaProperties<TRAIT>::~InertiaProperties() {}
+
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_trunk() const {
+ return this->tensor_trunk;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_LF_hipassembly() const {
+ return this->tensor_LF_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_LF_upperleg() const {
+ return this->tensor_LF_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_LF_lowerleg() const {
+ return this->tensor_LF_lowerleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_RF_hipassembly() const {
+ return this->tensor_RF_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_RF_upperleg() const {
+ return this->tensor_RF_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_RF_lowerleg() const {
+ return this->tensor_RF_lowerleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_LH_hipassembly() const {
+ return this->tensor_LH_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_LH_upperleg() const {
+ return this->tensor_LH_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_LH_lowerleg() const {
+ return this->tensor_LH_lowerleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_RH_hipassembly() const {
+ return this->tensor_RH_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_RH_upperleg() const {
+ return this->tensor_RH_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_RH_lowerleg() const {
+ return this->tensor_RH_lowerleg;
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_trunk() const {
+ return this->tensor_trunk.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_LF_hipassembly() const {
+ return this->tensor_LF_hipassembly.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_LF_upperleg() const {
+ return this->tensor_LF_upperleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_LF_lowerleg() const {
+ return this->tensor_LF_lowerleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_RF_hipassembly() const {
+ return this->tensor_RF_hipassembly.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_RF_upperleg() const {
+ return this->tensor_RF_upperleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_RF_lowerleg() const {
+ return this->tensor_RF_lowerleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_LH_hipassembly() const {
+ return this->tensor_LH_hipassembly.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_LH_upperleg() const {
+ return this->tensor_LH_upperleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_LH_lowerleg() const {
+ return this->tensor_LH_lowerleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_RH_hipassembly() const {
+ return this->tensor_RH_hipassembly.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_RH_upperleg() const {
+ return this->tensor_RH_upperleg.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_RH_lowerleg() const {
+ return this->tensor_RH_lowerleg.getMass();
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_trunk() const {
+ return this->com_trunk;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_LF_hipassembly() const {
+ return this->com_LF_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_LF_upperleg() const {
+ return this->com_LF_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_LF_lowerleg() const {
+ return this->com_LF_lowerleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_RF_hipassembly() const {
+ return this->com_RF_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_RF_upperleg() const {
+ return this->com_RF_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_RF_lowerleg() const {
+ return this->com_RF_lowerleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_LH_hipassembly() const {
+ return this->com_LH_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_LH_upperleg() const {
+ return this->com_LH_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_LH_lowerleg() const {
+ return this->com_LH_lowerleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_RH_hipassembly() const {
+ return this->com_RH_hipassembly;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_RH_upperleg() const {
+ return this->com_RH_upperleg;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_RH_lowerleg() const {
+ return this->com_RH_lowerleg;
+}
+
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getTotalMass() const {
+ return 53.433 + 3.44 + 3.146 + 0.881 + 3.44 + 3.146 + 0.881 + 3.44 + 3.146 + 0.881 + 3.44 + 3.146 + 0.881;
+}
+
+}
+
+using InertiaProperties = tpl::InertiaProperties<rbd::DoubleTrait>;
+
+}
+}
+}
+
+#include "inertia_properties.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/inertia_properties.impl.h b/ct_models/include/ct/models/HyQ/generated/inertia_properties.impl.h
new file mode 100644
index 0000000..adc5972
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/inertia_properties.impl.h
@@ -0,0 +1,161 @@
+template <typename TRAIT>
+iit::HyQ::dyn::tpl::InertiaProperties<TRAIT>::InertiaProperties()
+{
+ com_trunk = iit::rbd::Vector3d(-0.0223,-1.0E-4,0.0387).cast<Scalar>();
+ tensor_trunk.fill(
+ Scalar(53.433),
+ com_trunk,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(1.209488),
+ Scalar(5.5837),
+ Scalar(6.056973),
+ Scalar(0.00571),
+ Scalar(-0.190812),
+ Scalar(-0.012668)) );
+
+ com_LF_hipassembly = iit::rbd::Vector3d(0.04263,0.0,0.16931).cast<Scalar>();
+ tensor_LF_hipassembly.fill(
+ Scalar(3.44),
+ com_LF_hipassembly,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.134705),
+ Scalar(0.144171),
+ Scalar(0.011033),
+ Scalar(3.6E-5),
+ Scalar(0.022734),
+ Scalar(5.1E-5)) );
+
+ com_LF_upperleg = iit::rbd::Vector3d(0.15074,-0.02625,-0.0).cast<Scalar>();
+ tensor_LF_upperleg.fill(
+ Scalar(3.146),
+ com_LF_upperleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.005495),
+ Scalar(0.087136),
+ Scalar(0.089871),
+ Scalar(-0.007418),
+ Scalar(-1.02E-4),
+ Scalar(-2.1E-5)) );
+
+ com_LF_lowerleg = iit::rbd::Vector3d(0.1254,5.0E-4,-1.0E-4).cast<Scalar>();
+ tensor_LF_lowerleg.fill(
+ Scalar(0.881),
+ com_LF_lowerleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(4.68E-4),
+ Scalar(0.026409),
+ Scalar(0.026181),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(0.0)) );
+
+ com_RF_hipassembly = iit::rbd::Vector3d(0.04263,-0.0,-0.16931).cast<Scalar>();
+ tensor_RF_hipassembly.fill(
+ Scalar(3.44),
+ com_RF_hipassembly,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.134705),
+ Scalar(0.144171),
+ Scalar(0.011033),
+ Scalar(-3.6E-5),
+ Scalar(-0.022734),
+ Scalar(5.1E-5)) );
+
+ com_RF_upperleg = iit::rbd::Vector3d(0.15074,-0.02625,-0.0).cast<Scalar>();
+ tensor_RF_upperleg.fill(
+ Scalar(3.146),
+ com_RF_upperleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.005495),
+ Scalar(0.087136),
+ Scalar(0.089871),
+ Scalar(-0.007418),
+ Scalar(-1.02E-4),
+ Scalar(-2.1E-5)) );
+
+ com_RF_lowerleg = iit::rbd::Vector3d(0.1254,5.0E-4,-1.0E-4).cast<Scalar>();
+ tensor_RF_lowerleg.fill(
+ Scalar(0.881),
+ com_RF_lowerleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(4.68E-4),
+ Scalar(0.026409),
+ Scalar(0.026181),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(0.0)) );
+
+ com_LH_hipassembly = iit::rbd::Vector3d(0.04263,-0.0,-0.16931).cast<Scalar>();
+ tensor_LH_hipassembly.fill(
+ Scalar(3.44),
+ com_LH_hipassembly,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.134705),
+ Scalar(0.144171),
+ Scalar(0.011033),
+ Scalar(-3.6E-5),
+ Scalar(-0.022734),
+ Scalar(5.1E-5)) );
+
+ com_LH_upperleg = iit::rbd::Vector3d(0.15074,0.02625,0.0).cast<Scalar>();
+ tensor_LH_upperleg.fill(
+ Scalar(3.146),
+ com_LH_upperleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.005495),
+ Scalar(0.087136),
+ Scalar(0.089871),
+ Scalar(0.007418),
+ Scalar(1.02E-4),
+ Scalar(-2.1E-5)) );
+
+ com_LH_lowerleg = iit::rbd::Vector3d(0.125,-0.001,0.0).cast<Scalar>();
+ tensor_LH_lowerleg.fill(
+ Scalar(0.881),
+ com_LH_lowerleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(4.68E-4),
+ Scalar(0.026409),
+ Scalar(0.026181),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(0.0)) );
+
+ com_RH_hipassembly = iit::rbd::Vector3d(0.04263,0.0,0.16931).cast<Scalar>();
+ tensor_RH_hipassembly.fill(
+ Scalar(3.44),
+ com_RH_hipassembly,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.134705),
+ Scalar(0.144171),
+ Scalar(0.011033),
+ Scalar(3.6E-5),
+ Scalar(0.022734),
+ Scalar(5.1E-5)) );
+
+ com_RH_upperleg = iit::rbd::Vector3d(0.15074,0.02625,0.0).cast<Scalar>();
+ tensor_RH_upperleg.fill(
+ Scalar(3.146),
+ com_RH_upperleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(0.005495),
+ Scalar(0.087136),
+ Scalar(0.089871),
+ Scalar(0.007418),
+ Scalar(1.02E-4),
+ Scalar(-2.1E-5)) );
+
+ com_RH_lowerleg = iit::rbd::Vector3d(0.1254,-5.0E-4,1.0E-4).cast<Scalar>();
+ tensor_RH_lowerleg.fill(
+ Scalar(0.881),
+ com_RH_lowerleg,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(4.68E-4),
+ Scalar(0.026409),
+ Scalar(0.026181),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(0.0)) );
+
+}
+
diff --git a/ct_models/include/ct/models/HyQ/generated/inverse_dynamics.h b/ct_models/include/ct/models/HyQ/generated/inverse_dynamics.h
new file mode 100644
index 0000000..ac8781b
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/inverse_dynamics.h
@@ -0,0 +1,375 @@
+#ifndef IIT_HYQ_INVERSE_DYNAMICS_H_
+#define IIT_HYQ_INVERSE_DYNAMICS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+#include "inertia_properties.h"
+#include "transforms.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace HyQ {
+namespace dyn {
+
+/**
+ * The Inverse Dynamics routine for the robot HyQ.
+ *
+ * In addition to the full Newton-Euler algorithm, specialized versions to compute
+ * only certain terms are provided.
+ * The parameters common to most of the methods are the joint status vector \c q, the
+ * joint velocity vector \c qd and the acceleration vector \c qdd.
+ *
+ * Additional overloaded methods are provided without the \c q parameter. These
+ * methods use the current configuration of the robot; they are provided for the
+ * sake of efficiency, in case the motion transforms of the robot have already
+ * been updated elsewhere with the most recent configuration (eg by a call to
+ * setJointStatus()), so that it is useless to compute them again.
+ *
+ * Whenever present, the external forces parameter is a set of external
+ * wrenches acting on the robot links. Each wrench must be expressed in
+ * the reference frame of the link it is excerted on.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class InverseDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+ typedef iit::HyQ::tpl::JointState<Scalar> JointState;
+ typedef typename CoreS::Matrix66 Matrix66s;
+ typedef iit::HyQ::tpl::MotionTransforms<TRAIT> MTransforms;
+ typedef InertiaProperties<TRAIT> IProperties;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot HyQ, which will be used by this instance
+ * to compute inverse-dynamics.
+ */
+ InverseDynamics(IProperties& in, MTransforms& tr);
+
+ /** \name Inverse dynamics
+ * The full algorithm for the inverse dynamics of this robot.
+ *
+ * All the spatial vectors in the parameters are expressed in base coordinates,
+ * besides the external forces: each force must be expressed in the reference
+ * frame of the link it is acting on.
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[out] baseAccel the spatial acceleration of the robot base
+ * \param[in] g the gravity acceleration, as a spatial vector;
+ * gravity implicitly specifies the orientation of the base in space
+ * \param[in] trunk_v the spatial velocity of the base
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */ ///@{
+ void id(
+ JointState& jForces, Acceleration& trunk_a,
+ const Acceleration& g, const Velocity& trunk_v,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ void id(
+ JointState& jForces, Acceleration& trunk_a,
+ const Acceleration& g, const Velocity& trunk_v,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ ///@}
+ /** \name Inverse dynamics, fully actuated base
+ * The inverse dynamics algorithm for the floating base robot,
+ * in the assumption of a fully actuated base.
+ *
+ * All the spatial vectors in the parameters are expressed in base coordinates,
+ * besides the external forces: each force must be expressed in the reference
+ * frame of the link it is acting on.
+ * \param[out] baseWrench the spatial force to be applied to the robot base to achieve
+ * the desired accelerations
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[in] g the gravity acceleration, as a spatial vector;
+ * gravity implicitly specifies the orientation of the base in space
+ * \param[in] trunk_v the spatial velocity of the base
+ * \param[in] baseAccel the desired spatial acceleration of the robot base
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */ ///@{
+ void id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& trunk_v, const Acceleration& baseAccel,
+ const JointState& q, const JointState& qd, const JointState& qdd, const ExtForces& fext = zeroExtForces);
+ void id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& trunk_v, const Acceleration& baseAccel,
+ const JointState& qd, const JointState& qdd, const ExtForces& fext = zeroExtForces);
+ ///@}
+ /** \name Gravity terms, fully actuated base
+ */
+ ///@{
+ void G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const JointState& q);
+ void G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g);
+ ///@}
+ /** \name Centrifugal and Coriolis terms, fully actuated base
+ *
+ * These functions take only velocity inputs, that is, they assume
+ * a zero spatial acceleration of the base (in addition to zero acceleration
+ * at the actuated joints).
+ * Note that this is NOT the same as imposing zero acceleration
+ * at the virtual 6-dof-floting-base joint, which would result, in general,
+ * in a non-zero spatial acceleration of the base, due to velocity
+ * product terms.
+ */
+ ///@{
+ void C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& trunk_v, const JointState& q, const JointState& qd);
+ void C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& trunk_v, const JointState& qd);
+ ///@}
+ /** Updates all the kinematics transforms used by the inverse dynamics routine. */
+ void setJointStatus(const JointState& q) const;
+
+public:
+ /** \name Getters
+ * These functions return various spatial quantities used internally
+ * by the inverse dynamics routines, like the spatial acceleration
+ * of the links.
+ *
+ * The getters can be useful to retrieve the additional data that is not
+ * returned explicitly by the inverse dynamics routines even though it
+ * is computed. For example, after a call to the inverse dynamics,
+ * the spatial velocity of all the links has been determined and
+ * can be accessed.
+ *
+ * However, beware that certain routines might not use some of the
+ * spatial quantities, which therefore would retain their last value
+ * without being updated nor reset (for example, the spatial velocity
+ * of the links is unaffected by the computation of the gravity terms).
+ */
+ ///@{
+ const Force& getForce_trunk() const { return trunk_f; }
+ const Velocity& getVelocity_LF_hipassembly() const { return LF_hipassembly_v; }
+ const Acceleration& getAcceleration_LF_hipassembly() const { return LF_hipassembly_a; }
+ const Force& getForce_LF_hipassembly() const { return LF_hipassembly_f; }
+ const Velocity& getVelocity_LF_upperleg() const { return LF_upperleg_v; }
+ const Acceleration& getAcceleration_LF_upperleg() const { return LF_upperleg_a; }
+ const Force& getForce_LF_upperleg() const { return LF_upperleg_f; }
+ const Velocity& getVelocity_LF_lowerleg() const { return LF_lowerleg_v; }
+ const Acceleration& getAcceleration_LF_lowerleg() const { return LF_lowerleg_a; }
+ const Force& getForce_LF_lowerleg() const { return LF_lowerleg_f; }
+ const Velocity& getVelocity_RF_hipassembly() const { return RF_hipassembly_v; }
+ const Acceleration& getAcceleration_RF_hipassembly() const { return RF_hipassembly_a; }
+ const Force& getForce_RF_hipassembly() const { return RF_hipassembly_f; }
+ const Velocity& getVelocity_RF_upperleg() const { return RF_upperleg_v; }
+ const Acceleration& getAcceleration_RF_upperleg() const { return RF_upperleg_a; }
+ const Force& getForce_RF_upperleg() const { return RF_upperleg_f; }
+ const Velocity& getVelocity_RF_lowerleg() const { return RF_lowerleg_v; }
+ const Acceleration& getAcceleration_RF_lowerleg() const { return RF_lowerleg_a; }
+ const Force& getForce_RF_lowerleg() const { return RF_lowerleg_f; }
+ const Velocity& getVelocity_LH_hipassembly() const { return LH_hipassembly_v; }
+ const Acceleration& getAcceleration_LH_hipassembly() const { return LH_hipassembly_a; }
+ const Force& getForce_LH_hipassembly() const { return LH_hipassembly_f; }
+ const Velocity& getVelocity_LH_upperleg() const { return LH_upperleg_v; }
+ const Acceleration& getAcceleration_LH_upperleg() const { return LH_upperleg_a; }
+ const Force& getForce_LH_upperleg() const { return LH_upperleg_f; }
+ const Velocity& getVelocity_LH_lowerleg() const { return LH_lowerleg_v; }
+ const Acceleration& getAcceleration_LH_lowerleg() const { return LH_lowerleg_a; }
+ const Force& getForce_LH_lowerleg() const { return LH_lowerleg_f; }
+ const Velocity& getVelocity_RH_hipassembly() const { return RH_hipassembly_v; }
+ const Acceleration& getAcceleration_RH_hipassembly() const { return RH_hipassembly_a; }
+ const Force& getForce_RH_hipassembly() const { return RH_hipassembly_f; }
+ const Velocity& getVelocity_RH_upperleg() const { return RH_upperleg_v; }
+ const Acceleration& getAcceleration_RH_upperleg() const { return RH_upperleg_a; }
+ const Force& getForce_RH_upperleg() const { return RH_upperleg_f; }
+ const Velocity& getVelocity_RH_lowerleg() const { return RH_lowerleg_v; }
+ const Acceleration& getAcceleration_RH_lowerleg() const { return RH_lowerleg_a; }
+ const Force& getForce_RH_lowerleg() const { return RH_lowerleg_f; }
+ ///@}
+protected:
+ void secondPass_fullyActuated(JointState& jForces);
+
+private:
+ IProperties* inertiaProps;
+ MTransforms* xm;
+private:
+ Matrix66s vcross; // support variable
+ // Link 'LF_hipassembly' :
+ const InertiaMatrix& LF_hipassembly_I;
+ Velocity LF_hipassembly_v;
+ Acceleration LF_hipassembly_a;
+ Force LF_hipassembly_f;
+ // Link 'LF_upperleg' :
+ const InertiaMatrix& LF_upperleg_I;
+ Velocity LF_upperleg_v;
+ Acceleration LF_upperleg_a;
+ Force LF_upperleg_f;
+ // Link 'LF_lowerleg' :
+ const InertiaMatrix& LF_lowerleg_I;
+ Velocity LF_lowerleg_v;
+ Acceleration LF_lowerleg_a;
+ Force LF_lowerleg_f;
+ // Link 'RF_hipassembly' :
+ const InertiaMatrix& RF_hipassembly_I;
+ Velocity RF_hipassembly_v;
+ Acceleration RF_hipassembly_a;
+ Force RF_hipassembly_f;
+ // Link 'RF_upperleg' :
+ const InertiaMatrix& RF_upperleg_I;
+ Velocity RF_upperleg_v;
+ Acceleration RF_upperleg_a;
+ Force RF_upperleg_f;
+ // Link 'RF_lowerleg' :
+ const InertiaMatrix& RF_lowerleg_I;
+ Velocity RF_lowerleg_v;
+ Acceleration RF_lowerleg_a;
+ Force RF_lowerleg_f;
+ // Link 'LH_hipassembly' :
+ const InertiaMatrix& LH_hipassembly_I;
+ Velocity LH_hipassembly_v;
+ Acceleration LH_hipassembly_a;
+ Force LH_hipassembly_f;
+ // Link 'LH_upperleg' :
+ const InertiaMatrix& LH_upperleg_I;
+ Velocity LH_upperleg_v;
+ Acceleration LH_upperleg_a;
+ Force LH_upperleg_f;
+ // Link 'LH_lowerleg' :
+ const InertiaMatrix& LH_lowerleg_I;
+ Velocity LH_lowerleg_v;
+ Acceleration LH_lowerleg_a;
+ Force LH_lowerleg_f;
+ // Link 'RH_hipassembly' :
+ const InertiaMatrix& RH_hipassembly_I;
+ Velocity RH_hipassembly_v;
+ Acceleration RH_hipassembly_a;
+ Force RH_hipassembly_f;
+ // Link 'RH_upperleg' :
+ const InertiaMatrix& RH_upperleg_I;
+ Velocity RH_upperleg_v;
+ Acceleration RH_upperleg_a;
+ Force RH_upperleg_f;
+ // Link 'RH_lowerleg' :
+ const InertiaMatrix& RH_lowerleg_I;
+ Velocity RH_lowerleg_v;
+ Acceleration RH_lowerleg_a;
+ Force RH_lowerleg_f;
+
+ // The robot base
+ const InertiaMatrix& trunk_I;
+ InertiaMatrix trunk_Ic;
+ Force trunk_f;
+ // The composite inertia tensors
+ InertiaMatrix LF_hipassembly_Ic;
+ InertiaMatrix LF_upperleg_Ic;
+ const InertiaMatrix& LF_lowerleg_Ic;
+ InertiaMatrix RF_hipassembly_Ic;
+ InertiaMatrix RF_upperleg_Ic;
+ const InertiaMatrix& RF_lowerleg_Ic;
+ InertiaMatrix LH_hipassembly_Ic;
+ InertiaMatrix LH_upperleg_Ic;
+ const InertiaMatrix& LH_lowerleg_Ic;
+ InertiaMatrix RH_hipassembly_Ic;
+ InertiaMatrix RH_upperleg_Ic;
+ const InertiaMatrix& RH_lowerleg_Ic;
+
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::setJointStatus(const JointState& q) const
+{
+ (xm->fr_LF_hipassembly_X_fr_trunk)(q);
+ (xm->fr_LF_upperleg_X_fr_LF_hipassembly)(q);
+ (xm->fr_LF_lowerleg_X_fr_LF_upperleg)(q);
+ (xm->fr_RF_hipassembly_X_fr_trunk)(q);
+ (xm->fr_RF_upperleg_X_fr_RF_hipassembly)(q);
+ (xm->fr_RF_lowerleg_X_fr_RF_upperleg)(q);
+ (xm->fr_LH_hipassembly_X_fr_trunk)(q);
+ (xm->fr_LH_upperleg_X_fr_LH_hipassembly)(q);
+ (xm->fr_LH_lowerleg_X_fr_LH_upperleg)(q);
+ (xm->fr_RH_hipassembly_X_fr_trunk)(q);
+ (xm->fr_RH_upperleg_X_fr_RH_hipassembly)(q);
+ (xm->fr_RH_lowerleg_X_fr_RH_upperleg)(q);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id(
+ JointState& jForces, Acceleration& trunk_a,
+ const Acceleration& g, const Velocity& trunk_v,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ setJointStatus(q);
+ id(jForces, trunk_a, g, trunk_v,
+ qd, qdd, fext);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const JointState& q)
+{
+ setJointStatus(q);
+ G_terms_fully_actuated(baseWrench, jForces, g);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& trunk_v, const JointState& q, const JointState& qd)
+{
+ setJointStatus(q);
+ C_terms_fully_actuated(baseWrench, jForces, trunk_v, qd);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& trunk_v, const Acceleration& baseAccel,
+ const JointState& q, const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ setJointStatus(q);
+ id_fully_actuated(baseWrench, jForces, g, trunk_v,
+ baseAccel, qd, qdd, fext);
+}
+
+}
+
+typedef tpl::InverseDynamics<rbd::DoubleTrait> InverseDynamics;
+
+}
+}
+
+}
+
+#include "inverse_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/inverse_dynamics.impl.h b/ct_models/include/ct/models/HyQ/generated/inverse_dynamics.impl.h
new file mode 100644
index 0000000..c5972c6
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/inverse_dynamics.impl.h
@@ -0,0 +1,634 @@
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::ExtForces
+iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::InverseDynamics(IProperties& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ xm( & transforms ),
+ LF_hipassembly_I(inertiaProps->getTensor_LF_hipassembly() ),
+ LF_upperleg_I(inertiaProps->getTensor_LF_upperleg() ),
+ LF_lowerleg_I(inertiaProps->getTensor_LF_lowerleg() ),
+ RF_hipassembly_I(inertiaProps->getTensor_RF_hipassembly() ),
+ RF_upperleg_I(inertiaProps->getTensor_RF_upperleg() ),
+ RF_lowerleg_I(inertiaProps->getTensor_RF_lowerleg() ),
+ LH_hipassembly_I(inertiaProps->getTensor_LH_hipassembly() ),
+ LH_upperleg_I(inertiaProps->getTensor_LH_upperleg() ),
+ LH_lowerleg_I(inertiaProps->getTensor_LH_lowerleg() ),
+ RH_hipassembly_I(inertiaProps->getTensor_RH_hipassembly() ),
+ RH_upperleg_I(inertiaProps->getTensor_RH_upperleg() ),
+ RH_lowerleg_I(inertiaProps->getTensor_RH_lowerleg() )
+ ,
+ trunk_I( inertiaProps->getTensor_trunk() ),
+ LF_lowerleg_Ic(LF_lowerleg_I),
+ RF_lowerleg_Ic(RF_lowerleg_I),
+ LH_lowerleg_Ic(LH_lowerleg_I),
+ RH_lowerleg_Ic(RH_lowerleg_I)
+{
+#ifndef EIGEN_NO_DEBUG
+ std::cout << "Robot HyQ, InverseDynamics<TRAIT>::InverseDynamics()" << std::endl;
+ std::cout << "Compiled with Eigen debug active" << std::endl;
+#endif
+ LF_hipassembly_v.setZero();
+ LF_upperleg_v.setZero();
+ LF_lowerleg_v.setZero();
+ RF_hipassembly_v.setZero();
+ RF_upperleg_v.setZero();
+ RF_lowerleg_v.setZero();
+ LH_hipassembly_v.setZero();
+ LH_upperleg_v.setZero();
+ LH_lowerleg_v.setZero();
+ RH_hipassembly_v.setZero();
+ RH_upperleg_v.setZero();
+ RH_lowerleg_v.setZero();
+
+ vcross.setZero();
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::id(
+ JointState& jForces, Acceleration& trunk_a,
+ const Acceleration& g, const Velocity& trunk_v,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ trunk_Ic = trunk_I;
+ LF_hipassembly_Ic = LF_hipassembly_I;
+ LF_upperleg_Ic = LF_upperleg_I;
+ RF_hipassembly_Ic = RF_hipassembly_I;
+ RF_upperleg_Ic = RF_upperleg_I;
+ LH_hipassembly_Ic = LH_hipassembly_I;
+ LH_upperleg_Ic = LH_upperleg_I;
+ RH_hipassembly_Ic = RH_hipassembly_I;
+ RH_upperleg_Ic = RH_upperleg_I;
+
+ // First pass, link 'LF_hipassembly'
+ LF_hipassembly_v = ((xm->fr_LF_hipassembly_X_fr_trunk) * trunk_v);
+ LF_hipassembly_v(iit::rbd::AZ) += qd(LF_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LF_hipassembly_v, vcross);
+
+ LF_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(LF_HAA));
+ LF_hipassembly_a(iit::rbd::AZ) += qdd(LF_HAA);
+
+ LF_hipassembly_f = LF_hipassembly_I * LF_hipassembly_a + iit::rbd::vxIv(LF_hipassembly_v, LF_hipassembly_I);
+
+ // First pass, link 'LF_upperleg'
+ LF_upperleg_v = ((xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_v);
+ LF_upperleg_v(iit::rbd::AZ) += qd(LF_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LF_upperleg_v, vcross);
+
+ LF_upperleg_a = (xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(LF_HFE);
+ LF_upperleg_a(iit::rbd::AZ) += qdd(LF_HFE);
+
+ LF_upperleg_f = LF_upperleg_I * LF_upperleg_a + iit::rbd::vxIv(LF_upperleg_v, LF_upperleg_I);
+
+ // First pass, link 'LF_lowerleg'
+ LF_lowerleg_v = ((xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_v);
+ LF_lowerleg_v(iit::rbd::AZ) += qd(LF_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LF_lowerleg_v, vcross);
+
+ LF_lowerleg_a = (xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_a + vcross.col(iit::rbd::AZ) * qd(LF_KFE);
+ LF_lowerleg_a(iit::rbd::AZ) += qdd(LF_KFE);
+
+ LF_lowerleg_f = LF_lowerleg_I * LF_lowerleg_a + iit::rbd::vxIv(LF_lowerleg_v, LF_lowerleg_I);
+
+ // First pass, link 'RF_hipassembly'
+ RF_hipassembly_v = ((xm->fr_RF_hipassembly_X_fr_trunk) * trunk_v);
+ RF_hipassembly_v(iit::rbd::AZ) += qd(RF_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RF_hipassembly_v, vcross);
+
+ RF_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(RF_HAA));
+ RF_hipassembly_a(iit::rbd::AZ) += qdd(RF_HAA);
+
+ RF_hipassembly_f = RF_hipassembly_I * RF_hipassembly_a + iit::rbd::vxIv(RF_hipassembly_v, RF_hipassembly_I);
+
+ // First pass, link 'RF_upperleg'
+ RF_upperleg_v = ((xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_v);
+ RF_upperleg_v(iit::rbd::AZ) += qd(RF_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RF_upperleg_v, vcross);
+
+ RF_upperleg_a = (xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(RF_HFE);
+ RF_upperleg_a(iit::rbd::AZ) += qdd(RF_HFE);
+
+ RF_upperleg_f = RF_upperleg_I * RF_upperleg_a + iit::rbd::vxIv(RF_upperleg_v, RF_upperleg_I);
+
+ // First pass, link 'RF_lowerleg'
+ RF_lowerleg_v = ((xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_v);
+ RF_lowerleg_v(iit::rbd::AZ) += qd(RF_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RF_lowerleg_v, vcross);
+
+ RF_lowerleg_a = (xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_a + vcross.col(iit::rbd::AZ) * qd(RF_KFE);
+ RF_lowerleg_a(iit::rbd::AZ) += qdd(RF_KFE);
+
+ RF_lowerleg_f = RF_lowerleg_I * RF_lowerleg_a + iit::rbd::vxIv(RF_lowerleg_v, RF_lowerleg_I);
+
+ // First pass, link 'LH_hipassembly'
+ LH_hipassembly_v = ((xm->fr_LH_hipassembly_X_fr_trunk) * trunk_v);
+ LH_hipassembly_v(iit::rbd::AZ) += qd(LH_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LH_hipassembly_v, vcross);
+
+ LH_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(LH_HAA));
+ LH_hipassembly_a(iit::rbd::AZ) += qdd(LH_HAA);
+
+ LH_hipassembly_f = LH_hipassembly_I * LH_hipassembly_a + iit::rbd::vxIv(LH_hipassembly_v, LH_hipassembly_I);
+
+ // First pass, link 'LH_upperleg'
+ LH_upperleg_v = ((xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_v);
+ LH_upperleg_v(iit::rbd::AZ) += qd(LH_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LH_upperleg_v, vcross);
+
+ LH_upperleg_a = (xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(LH_HFE);
+ LH_upperleg_a(iit::rbd::AZ) += qdd(LH_HFE);
+
+ LH_upperleg_f = LH_upperleg_I * LH_upperleg_a + iit::rbd::vxIv(LH_upperleg_v, LH_upperleg_I);
+
+ // First pass, link 'LH_lowerleg'
+ LH_lowerleg_v = ((xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_v);
+ LH_lowerleg_v(iit::rbd::AZ) += qd(LH_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LH_lowerleg_v, vcross);
+
+ LH_lowerleg_a = (xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_a + vcross.col(iit::rbd::AZ) * qd(LH_KFE);
+ LH_lowerleg_a(iit::rbd::AZ) += qdd(LH_KFE);
+
+ LH_lowerleg_f = LH_lowerleg_I * LH_lowerleg_a + iit::rbd::vxIv(LH_lowerleg_v, LH_lowerleg_I);
+
+ // First pass, link 'RH_hipassembly'
+ RH_hipassembly_v = ((xm->fr_RH_hipassembly_X_fr_trunk) * trunk_v);
+ RH_hipassembly_v(iit::rbd::AZ) += qd(RH_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RH_hipassembly_v, vcross);
+
+ RH_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(RH_HAA));
+ RH_hipassembly_a(iit::rbd::AZ) += qdd(RH_HAA);
+
+ RH_hipassembly_f = RH_hipassembly_I * RH_hipassembly_a + iit::rbd::vxIv(RH_hipassembly_v, RH_hipassembly_I);
+
+ // First pass, link 'RH_upperleg'
+ RH_upperleg_v = ((xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_v);
+ RH_upperleg_v(iit::rbd::AZ) += qd(RH_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RH_upperleg_v, vcross);
+
+ RH_upperleg_a = (xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(RH_HFE);
+ RH_upperleg_a(iit::rbd::AZ) += qdd(RH_HFE);
+
+ RH_upperleg_f = RH_upperleg_I * RH_upperleg_a + iit::rbd::vxIv(RH_upperleg_v, RH_upperleg_I);
+
+ // First pass, link 'RH_lowerleg'
+ RH_lowerleg_v = ((xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_v);
+ RH_lowerleg_v(iit::rbd::AZ) += qd(RH_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RH_lowerleg_v, vcross);
+
+ RH_lowerleg_a = (xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_a + vcross.col(iit::rbd::AZ) * qd(RH_KFE);
+ RH_lowerleg_a(iit::rbd::AZ) += qdd(RH_KFE);
+
+ RH_lowerleg_f = RH_lowerleg_I * RH_lowerleg_a + iit::rbd::vxIv(RH_lowerleg_v, RH_lowerleg_I);
+
+ // The force exerted on the floating base by the links
+ trunk_f = iit::rbd::vxIv(trunk_v, trunk_I);
+
+
+ // Add the external forces:
+ trunk_f -= fext[TRUNK];
+ LF_hipassembly_f -= fext[LF_HIPASSEMBLY];
+ LF_upperleg_f -= fext[LF_UPPERLEG];
+ LF_lowerleg_f -= fext[LF_LOWERLEG];
+ RF_hipassembly_f -= fext[RF_HIPASSEMBLY];
+ RF_upperleg_f -= fext[RF_UPPERLEG];
+ RF_lowerleg_f -= fext[RF_LOWERLEG];
+ LH_hipassembly_f -= fext[LH_HIPASSEMBLY];
+ LH_upperleg_f -= fext[LH_UPPERLEG];
+ LH_lowerleg_f -= fext[LH_LOWERLEG];
+ RH_hipassembly_f -= fext[RH_HIPASSEMBLY];
+ RH_upperleg_f -= fext[RH_UPPERLEG];
+ RH_lowerleg_f -= fext[RH_LOWERLEG];
+
+ RH_upperleg_Ic = RH_upperleg_Ic + (xm->fr_RH_lowerleg_X_fr_RH_upperleg).transpose() * RH_lowerleg_Ic * (xm->fr_RH_lowerleg_X_fr_RH_upperleg);
+ RH_upperleg_f = RH_upperleg_f + (xm->fr_RH_lowerleg_X_fr_RH_upperleg).transpose() * RH_lowerleg_f;
+
+ RH_hipassembly_Ic = RH_hipassembly_Ic + (xm->fr_RH_upperleg_X_fr_RH_hipassembly).transpose() * RH_upperleg_Ic * (xm->fr_RH_upperleg_X_fr_RH_hipassembly);
+ RH_hipassembly_f = RH_hipassembly_f + (xm->fr_RH_upperleg_X_fr_RH_hipassembly).transpose() * RH_upperleg_f;
+
+ trunk_Ic = trunk_Ic + (xm->fr_RH_hipassembly_X_fr_trunk).transpose() * RH_hipassembly_Ic * (xm->fr_RH_hipassembly_X_fr_trunk);
+ trunk_f = trunk_f + (xm->fr_RH_hipassembly_X_fr_trunk).transpose() * RH_hipassembly_f;
+
+ LH_upperleg_Ic = LH_upperleg_Ic + (xm->fr_LH_lowerleg_X_fr_LH_upperleg).transpose() * LH_lowerleg_Ic * (xm->fr_LH_lowerleg_X_fr_LH_upperleg);
+ LH_upperleg_f = LH_upperleg_f + (xm->fr_LH_lowerleg_X_fr_LH_upperleg).transpose() * LH_lowerleg_f;
+
+ LH_hipassembly_Ic = LH_hipassembly_Ic + (xm->fr_LH_upperleg_X_fr_LH_hipassembly).transpose() * LH_upperleg_Ic * (xm->fr_LH_upperleg_X_fr_LH_hipassembly);
+ LH_hipassembly_f = LH_hipassembly_f + (xm->fr_LH_upperleg_X_fr_LH_hipassembly).transpose() * LH_upperleg_f;
+
+ trunk_Ic = trunk_Ic + (xm->fr_LH_hipassembly_X_fr_trunk).transpose() * LH_hipassembly_Ic * (xm->fr_LH_hipassembly_X_fr_trunk);
+ trunk_f = trunk_f + (xm->fr_LH_hipassembly_X_fr_trunk).transpose() * LH_hipassembly_f;
+
+ RF_upperleg_Ic = RF_upperleg_Ic + (xm->fr_RF_lowerleg_X_fr_RF_upperleg).transpose() * RF_lowerleg_Ic * (xm->fr_RF_lowerleg_X_fr_RF_upperleg);
+ RF_upperleg_f = RF_upperleg_f + (xm->fr_RF_lowerleg_X_fr_RF_upperleg).transpose() * RF_lowerleg_f;
+
+ RF_hipassembly_Ic = RF_hipassembly_Ic + (xm->fr_RF_upperleg_X_fr_RF_hipassembly).transpose() * RF_upperleg_Ic * (xm->fr_RF_upperleg_X_fr_RF_hipassembly);
+ RF_hipassembly_f = RF_hipassembly_f + (xm->fr_RF_upperleg_X_fr_RF_hipassembly).transpose() * RF_upperleg_f;
+
+ trunk_Ic = trunk_Ic + (xm->fr_RF_hipassembly_X_fr_trunk).transpose() * RF_hipassembly_Ic * (xm->fr_RF_hipassembly_X_fr_trunk);
+ trunk_f = trunk_f + (xm->fr_RF_hipassembly_X_fr_trunk).transpose() * RF_hipassembly_f;
+
+ LF_upperleg_Ic = LF_upperleg_Ic + (xm->fr_LF_lowerleg_X_fr_LF_upperleg).transpose() * LF_lowerleg_Ic * (xm->fr_LF_lowerleg_X_fr_LF_upperleg);
+ LF_upperleg_f = LF_upperleg_f + (xm->fr_LF_lowerleg_X_fr_LF_upperleg).transpose() * LF_lowerleg_f;
+
+ LF_hipassembly_Ic = LF_hipassembly_Ic + (xm->fr_LF_upperleg_X_fr_LF_hipassembly).transpose() * LF_upperleg_Ic * (xm->fr_LF_upperleg_X_fr_LF_hipassembly);
+ LF_hipassembly_f = LF_hipassembly_f + (xm->fr_LF_upperleg_X_fr_LF_hipassembly).transpose() * LF_upperleg_f;
+
+ trunk_Ic = trunk_Ic + (xm->fr_LF_hipassembly_X_fr_trunk).transpose() * LF_hipassembly_Ic * (xm->fr_LF_hipassembly_X_fr_trunk);
+ trunk_f = trunk_f + (xm->fr_LF_hipassembly_X_fr_trunk).transpose() * LF_hipassembly_f;
+
+
+ // The base acceleration due to the force due to the movement of the links
+ trunk_a = - trunk_Ic.inverse() * trunk_f;
+
+ LF_hipassembly_a = xm->fr_LF_hipassembly_X_fr_trunk * trunk_a;
+ jForces(LF_HAA) = (LF_hipassembly_Ic.row(iit::rbd::AZ) * LF_hipassembly_a + LF_hipassembly_f(iit::rbd::AZ))(0);
+
+ LF_upperleg_a = xm->fr_LF_upperleg_X_fr_LF_hipassembly * LF_hipassembly_a;
+ jForces(LF_HFE) = (LF_upperleg_Ic.row(iit::rbd::AZ) * LF_upperleg_a + LF_upperleg_f(iit::rbd::AZ))(0);
+
+ LF_lowerleg_a = xm->fr_LF_lowerleg_X_fr_LF_upperleg * LF_upperleg_a;
+ jForces(LF_KFE) = (LF_lowerleg_Ic.row(iit::rbd::AZ) * LF_lowerleg_a + LF_lowerleg_f(iit::rbd::AZ))(0);
+
+ RF_hipassembly_a = xm->fr_RF_hipassembly_X_fr_trunk * trunk_a;
+ jForces(RF_HAA) = (RF_hipassembly_Ic.row(iit::rbd::AZ) * RF_hipassembly_a + RF_hipassembly_f(iit::rbd::AZ))(0);
+
+ RF_upperleg_a = xm->fr_RF_upperleg_X_fr_RF_hipassembly * RF_hipassembly_a;
+ jForces(RF_HFE) = (RF_upperleg_Ic.row(iit::rbd::AZ) * RF_upperleg_a + RF_upperleg_f(iit::rbd::AZ))(0);
+
+ RF_lowerleg_a = xm->fr_RF_lowerleg_X_fr_RF_upperleg * RF_upperleg_a;
+ jForces(RF_KFE) = (RF_lowerleg_Ic.row(iit::rbd::AZ) * RF_lowerleg_a + RF_lowerleg_f(iit::rbd::AZ))(0);
+
+ LH_hipassembly_a = xm->fr_LH_hipassembly_X_fr_trunk * trunk_a;
+ jForces(LH_HAA) = (LH_hipassembly_Ic.row(iit::rbd::AZ) * LH_hipassembly_a + LH_hipassembly_f(iit::rbd::AZ))(0);
+
+ LH_upperleg_a = xm->fr_LH_upperleg_X_fr_LH_hipassembly * LH_hipassembly_a;
+ jForces(LH_HFE) = (LH_upperleg_Ic.row(iit::rbd::AZ) * LH_upperleg_a + LH_upperleg_f(iit::rbd::AZ))(0);
+
+ LH_lowerleg_a = xm->fr_LH_lowerleg_X_fr_LH_upperleg * LH_upperleg_a;
+ jForces(LH_KFE) = (LH_lowerleg_Ic.row(iit::rbd::AZ) * LH_lowerleg_a + LH_lowerleg_f(iit::rbd::AZ))(0);
+
+ RH_hipassembly_a = xm->fr_RH_hipassembly_X_fr_trunk * trunk_a;
+ jForces(RH_HAA) = (RH_hipassembly_Ic.row(iit::rbd::AZ) * RH_hipassembly_a + RH_hipassembly_f(iit::rbd::AZ))(0);
+
+ RH_upperleg_a = xm->fr_RH_upperleg_X_fr_RH_hipassembly * RH_hipassembly_a;
+ jForces(RH_HFE) = (RH_upperleg_Ic.row(iit::rbd::AZ) * RH_upperleg_a + RH_upperleg_f(iit::rbd::AZ))(0);
+
+ RH_lowerleg_a = xm->fr_RH_lowerleg_X_fr_RH_upperleg * RH_upperleg_a;
+ jForces(RH_KFE) = (RH_lowerleg_Ic.row(iit::rbd::AZ) * RH_lowerleg_a + RH_lowerleg_f(iit::rbd::AZ))(0);
+
+
+ trunk_a += g;
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g)
+{
+ const Acceleration& trunk_a = -g;
+
+ // Link 'LF_hipassembly'
+ LF_hipassembly_a = (xm->fr_LF_hipassembly_X_fr_trunk) * trunk_a;
+ LF_hipassembly_f = LF_hipassembly_I * LF_hipassembly_a;
+ // Link 'LF_upperleg'
+ LF_upperleg_a = (xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_a;
+ LF_upperleg_f = LF_upperleg_I * LF_upperleg_a;
+ // Link 'LF_lowerleg'
+ LF_lowerleg_a = (xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_a;
+ LF_lowerleg_f = LF_lowerleg_I * LF_lowerleg_a;
+ // Link 'RF_hipassembly'
+ RF_hipassembly_a = (xm->fr_RF_hipassembly_X_fr_trunk) * trunk_a;
+ RF_hipassembly_f = RF_hipassembly_I * RF_hipassembly_a;
+ // Link 'RF_upperleg'
+ RF_upperleg_a = (xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_a;
+ RF_upperleg_f = RF_upperleg_I * RF_upperleg_a;
+ // Link 'RF_lowerleg'
+ RF_lowerleg_a = (xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_a;
+ RF_lowerleg_f = RF_lowerleg_I * RF_lowerleg_a;
+ // Link 'LH_hipassembly'
+ LH_hipassembly_a = (xm->fr_LH_hipassembly_X_fr_trunk) * trunk_a;
+ LH_hipassembly_f = LH_hipassembly_I * LH_hipassembly_a;
+ // Link 'LH_upperleg'
+ LH_upperleg_a = (xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_a;
+ LH_upperleg_f = LH_upperleg_I * LH_upperleg_a;
+ // Link 'LH_lowerleg'
+ LH_lowerleg_a = (xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_a;
+ LH_lowerleg_f = LH_lowerleg_I * LH_lowerleg_a;
+ // Link 'RH_hipassembly'
+ RH_hipassembly_a = (xm->fr_RH_hipassembly_X_fr_trunk) * trunk_a;
+ RH_hipassembly_f = RH_hipassembly_I * RH_hipassembly_a;
+ // Link 'RH_upperleg'
+ RH_upperleg_a = (xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_a;
+ RH_upperleg_f = RH_upperleg_I * RH_upperleg_a;
+ // Link 'RH_lowerleg'
+ RH_lowerleg_a = (xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_a;
+ RH_lowerleg_f = RH_lowerleg_I * RH_lowerleg_a;
+
+ trunk_f = trunk_I * trunk_a;
+
+ secondPass_fullyActuated(jForces);
+
+ baseWrench = trunk_f;
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& trunk_v, const JointState& qd)
+{
+ // Link 'LF_hipassembly'
+ LF_hipassembly_v = ((xm->fr_LF_hipassembly_X_fr_trunk) * trunk_v);
+ LF_hipassembly_v(iit::rbd::AZ) += qd(LF_HAA);
+ iit::rbd::motionCrossProductMx<Scalar>(LF_hipassembly_v, vcross);
+ LF_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(LF_HAA));
+ LF_hipassembly_f = LF_hipassembly_I * LF_hipassembly_a + iit::rbd::vxIv(LF_hipassembly_v, LF_hipassembly_I);
+
+ // Link 'LF_upperleg'
+ LF_upperleg_v = ((xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_v);
+ LF_upperleg_v(iit::rbd::AZ) += qd(LF_HFE);
+ iit::rbd::motionCrossProductMx<Scalar>(LF_upperleg_v, vcross);
+ LF_upperleg_a = (xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(LF_HFE);
+ LF_upperleg_f = LF_upperleg_I * LF_upperleg_a + iit::rbd::vxIv(LF_upperleg_v, LF_upperleg_I);
+
+ // Link 'LF_lowerleg'
+ LF_lowerleg_v = ((xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_v);
+ LF_lowerleg_v(iit::rbd::AZ) += qd(LF_KFE);
+ iit::rbd::motionCrossProductMx<Scalar>(LF_lowerleg_v, vcross);
+ LF_lowerleg_a = (xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_a + vcross.col(iit::rbd::AZ) * qd(LF_KFE);
+ LF_lowerleg_f = LF_lowerleg_I * LF_lowerleg_a + iit::rbd::vxIv(LF_lowerleg_v, LF_lowerleg_I);
+
+ // Link 'RF_hipassembly'
+ RF_hipassembly_v = ((xm->fr_RF_hipassembly_X_fr_trunk) * trunk_v);
+ RF_hipassembly_v(iit::rbd::AZ) += qd(RF_HAA);
+ iit::rbd::motionCrossProductMx<Scalar>(RF_hipassembly_v, vcross);
+ RF_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(RF_HAA));
+ RF_hipassembly_f = RF_hipassembly_I * RF_hipassembly_a + iit::rbd::vxIv(RF_hipassembly_v, RF_hipassembly_I);
+
+ // Link 'RF_upperleg'
+ RF_upperleg_v = ((xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_v);
+ RF_upperleg_v(iit::rbd::AZ) += qd(RF_HFE);
+ iit::rbd::motionCrossProductMx<Scalar>(RF_upperleg_v, vcross);
+ RF_upperleg_a = (xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(RF_HFE);
+ RF_upperleg_f = RF_upperleg_I * RF_upperleg_a + iit::rbd::vxIv(RF_upperleg_v, RF_upperleg_I);
+
+ // Link 'RF_lowerleg'
+ RF_lowerleg_v = ((xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_v);
+ RF_lowerleg_v(iit::rbd::AZ) += qd(RF_KFE);
+ iit::rbd::motionCrossProductMx<Scalar>(RF_lowerleg_v, vcross);
+ RF_lowerleg_a = (xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_a + vcross.col(iit::rbd::AZ) * qd(RF_KFE);
+ RF_lowerleg_f = RF_lowerleg_I * RF_lowerleg_a + iit::rbd::vxIv(RF_lowerleg_v, RF_lowerleg_I);
+
+ // Link 'LH_hipassembly'
+ LH_hipassembly_v = ((xm->fr_LH_hipassembly_X_fr_trunk) * trunk_v);
+ LH_hipassembly_v(iit::rbd::AZ) += qd(LH_HAA);
+ iit::rbd::motionCrossProductMx<Scalar>(LH_hipassembly_v, vcross);
+ LH_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(LH_HAA));
+ LH_hipassembly_f = LH_hipassembly_I * LH_hipassembly_a + iit::rbd::vxIv(LH_hipassembly_v, LH_hipassembly_I);
+
+ // Link 'LH_upperleg'
+ LH_upperleg_v = ((xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_v);
+ LH_upperleg_v(iit::rbd::AZ) += qd(LH_HFE);
+ iit::rbd::motionCrossProductMx<Scalar>(LH_upperleg_v, vcross);
+ LH_upperleg_a = (xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(LH_HFE);
+ LH_upperleg_f = LH_upperleg_I * LH_upperleg_a + iit::rbd::vxIv(LH_upperleg_v, LH_upperleg_I);
+
+ // Link 'LH_lowerleg'
+ LH_lowerleg_v = ((xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_v);
+ LH_lowerleg_v(iit::rbd::AZ) += qd(LH_KFE);
+ iit::rbd::motionCrossProductMx<Scalar>(LH_lowerleg_v, vcross);
+ LH_lowerleg_a = (xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_a + vcross.col(iit::rbd::AZ) * qd(LH_KFE);
+ LH_lowerleg_f = LH_lowerleg_I * LH_lowerleg_a + iit::rbd::vxIv(LH_lowerleg_v, LH_lowerleg_I);
+
+ // Link 'RH_hipassembly'
+ RH_hipassembly_v = ((xm->fr_RH_hipassembly_X_fr_trunk) * trunk_v);
+ RH_hipassembly_v(iit::rbd::AZ) += qd(RH_HAA);
+ iit::rbd::motionCrossProductMx<Scalar>(RH_hipassembly_v, vcross);
+ RH_hipassembly_a = (vcross.col(iit::rbd::AZ) * qd(RH_HAA));
+ RH_hipassembly_f = RH_hipassembly_I * RH_hipassembly_a + iit::rbd::vxIv(RH_hipassembly_v, RH_hipassembly_I);
+
+ // Link 'RH_upperleg'
+ RH_upperleg_v = ((xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_v);
+ RH_upperleg_v(iit::rbd::AZ) += qd(RH_HFE);
+ iit::rbd::motionCrossProductMx<Scalar>(RH_upperleg_v, vcross);
+ RH_upperleg_a = (xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(RH_HFE);
+ RH_upperleg_f = RH_upperleg_I * RH_upperleg_a + iit::rbd::vxIv(RH_upperleg_v, RH_upperleg_I);
+
+ // Link 'RH_lowerleg'
+ RH_lowerleg_v = ((xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_v);
+ RH_lowerleg_v(iit::rbd::AZ) += qd(RH_KFE);
+ iit::rbd::motionCrossProductMx<Scalar>(RH_lowerleg_v, vcross);
+ RH_lowerleg_a = (xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_a + vcross.col(iit::rbd::AZ) * qd(RH_KFE);
+ RH_lowerleg_f = RH_lowerleg_I * RH_lowerleg_a + iit::rbd::vxIv(RH_lowerleg_v, RH_lowerleg_I);
+
+
+ trunk_f = iit::rbd::vxIv(trunk_v, trunk_I);
+
+ secondPass_fullyActuated(jForces);
+
+ baseWrench = trunk_f;
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& trunk_v, const Acceleration& baseAccel,
+ const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ Acceleration trunk_a = baseAccel -g;
+
+ // First pass, link 'LF_hipassembly'
+ LF_hipassembly_v = ((xm->fr_LF_hipassembly_X_fr_trunk) * trunk_v);
+ LF_hipassembly_v(iit::rbd::AZ) += qd(LF_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LF_hipassembly_v, vcross);
+
+ LF_hipassembly_a = (xm->fr_LF_hipassembly_X_fr_trunk) * trunk_a + vcross.col(iit::rbd::AZ) * qd(LF_HAA);
+ LF_hipassembly_a(iit::rbd::AZ) += qdd(LF_HAA);
+
+ LF_hipassembly_f = LF_hipassembly_I * LF_hipassembly_a + iit::rbd::vxIv(LF_hipassembly_v, LF_hipassembly_I) - fext[LF_HIPASSEMBLY];
+
+ // First pass, link 'LF_upperleg'
+ LF_upperleg_v = ((xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_v);
+ LF_upperleg_v(iit::rbd::AZ) += qd(LF_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LF_upperleg_v, vcross);
+
+ LF_upperleg_a = (xm->fr_LF_upperleg_X_fr_LF_hipassembly) * LF_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(LF_HFE);
+ LF_upperleg_a(iit::rbd::AZ) += qdd(LF_HFE);
+
+ LF_upperleg_f = LF_upperleg_I * LF_upperleg_a + iit::rbd::vxIv(LF_upperleg_v, LF_upperleg_I) - fext[LF_UPPERLEG];
+
+ // First pass, link 'LF_lowerleg'
+ LF_lowerleg_v = ((xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_v);
+ LF_lowerleg_v(iit::rbd::AZ) += qd(LF_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LF_lowerleg_v, vcross);
+
+ LF_lowerleg_a = (xm->fr_LF_lowerleg_X_fr_LF_upperleg) * LF_upperleg_a + vcross.col(iit::rbd::AZ) * qd(LF_KFE);
+ LF_lowerleg_a(iit::rbd::AZ) += qdd(LF_KFE);
+
+ LF_lowerleg_f = LF_lowerleg_I * LF_lowerleg_a + iit::rbd::vxIv(LF_lowerleg_v, LF_lowerleg_I) - fext[LF_LOWERLEG];
+
+ // First pass, link 'RF_hipassembly'
+ RF_hipassembly_v = ((xm->fr_RF_hipassembly_X_fr_trunk) * trunk_v);
+ RF_hipassembly_v(iit::rbd::AZ) += qd(RF_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RF_hipassembly_v, vcross);
+
+ RF_hipassembly_a = (xm->fr_RF_hipassembly_X_fr_trunk) * trunk_a + vcross.col(iit::rbd::AZ) * qd(RF_HAA);
+ RF_hipassembly_a(iit::rbd::AZ) += qdd(RF_HAA);
+
+ RF_hipassembly_f = RF_hipassembly_I * RF_hipassembly_a + iit::rbd::vxIv(RF_hipassembly_v, RF_hipassembly_I) - fext[RF_HIPASSEMBLY];
+
+ // First pass, link 'RF_upperleg'
+ RF_upperleg_v = ((xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_v);
+ RF_upperleg_v(iit::rbd::AZ) += qd(RF_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RF_upperleg_v, vcross);
+
+ RF_upperleg_a = (xm->fr_RF_upperleg_X_fr_RF_hipassembly) * RF_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(RF_HFE);
+ RF_upperleg_a(iit::rbd::AZ) += qdd(RF_HFE);
+
+ RF_upperleg_f = RF_upperleg_I * RF_upperleg_a + iit::rbd::vxIv(RF_upperleg_v, RF_upperleg_I) - fext[RF_UPPERLEG];
+
+ // First pass, link 'RF_lowerleg'
+ RF_lowerleg_v = ((xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_v);
+ RF_lowerleg_v(iit::rbd::AZ) += qd(RF_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RF_lowerleg_v, vcross);
+
+ RF_lowerleg_a = (xm->fr_RF_lowerleg_X_fr_RF_upperleg) * RF_upperleg_a + vcross.col(iit::rbd::AZ) * qd(RF_KFE);
+ RF_lowerleg_a(iit::rbd::AZ) += qdd(RF_KFE);
+
+ RF_lowerleg_f = RF_lowerleg_I * RF_lowerleg_a + iit::rbd::vxIv(RF_lowerleg_v, RF_lowerleg_I) - fext[RF_LOWERLEG];
+
+ // First pass, link 'LH_hipassembly'
+ LH_hipassembly_v = ((xm->fr_LH_hipassembly_X_fr_trunk) * trunk_v);
+ LH_hipassembly_v(iit::rbd::AZ) += qd(LH_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LH_hipassembly_v, vcross);
+
+ LH_hipassembly_a = (xm->fr_LH_hipassembly_X_fr_trunk) * trunk_a + vcross.col(iit::rbd::AZ) * qd(LH_HAA);
+ LH_hipassembly_a(iit::rbd::AZ) += qdd(LH_HAA);
+
+ LH_hipassembly_f = LH_hipassembly_I * LH_hipassembly_a + iit::rbd::vxIv(LH_hipassembly_v, LH_hipassembly_I) - fext[LH_HIPASSEMBLY];
+
+ // First pass, link 'LH_upperleg'
+ LH_upperleg_v = ((xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_v);
+ LH_upperleg_v(iit::rbd::AZ) += qd(LH_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LH_upperleg_v, vcross);
+
+ LH_upperleg_a = (xm->fr_LH_upperleg_X_fr_LH_hipassembly) * LH_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(LH_HFE);
+ LH_upperleg_a(iit::rbd::AZ) += qdd(LH_HFE);
+
+ LH_upperleg_f = LH_upperleg_I * LH_upperleg_a + iit::rbd::vxIv(LH_upperleg_v, LH_upperleg_I) - fext[LH_UPPERLEG];
+
+ // First pass, link 'LH_lowerleg'
+ LH_lowerleg_v = ((xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_v);
+ LH_lowerleg_v(iit::rbd::AZ) += qd(LH_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(LH_lowerleg_v, vcross);
+
+ LH_lowerleg_a = (xm->fr_LH_lowerleg_X_fr_LH_upperleg) * LH_upperleg_a + vcross.col(iit::rbd::AZ) * qd(LH_KFE);
+ LH_lowerleg_a(iit::rbd::AZ) += qdd(LH_KFE);
+
+ LH_lowerleg_f = LH_lowerleg_I * LH_lowerleg_a + iit::rbd::vxIv(LH_lowerleg_v, LH_lowerleg_I) - fext[LH_LOWERLEG];
+
+ // First pass, link 'RH_hipassembly'
+ RH_hipassembly_v = ((xm->fr_RH_hipassembly_X_fr_trunk) * trunk_v);
+ RH_hipassembly_v(iit::rbd::AZ) += qd(RH_HAA);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RH_hipassembly_v, vcross);
+
+ RH_hipassembly_a = (xm->fr_RH_hipassembly_X_fr_trunk) * trunk_a + vcross.col(iit::rbd::AZ) * qd(RH_HAA);
+ RH_hipassembly_a(iit::rbd::AZ) += qdd(RH_HAA);
+
+ RH_hipassembly_f = RH_hipassembly_I * RH_hipassembly_a + iit::rbd::vxIv(RH_hipassembly_v, RH_hipassembly_I) - fext[RH_HIPASSEMBLY];
+
+ // First pass, link 'RH_upperleg'
+ RH_upperleg_v = ((xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_v);
+ RH_upperleg_v(iit::rbd::AZ) += qd(RH_HFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RH_upperleg_v, vcross);
+
+ RH_upperleg_a = (xm->fr_RH_upperleg_X_fr_RH_hipassembly) * RH_hipassembly_a + vcross.col(iit::rbd::AZ) * qd(RH_HFE);
+ RH_upperleg_a(iit::rbd::AZ) += qdd(RH_HFE);
+
+ RH_upperleg_f = RH_upperleg_I * RH_upperleg_a + iit::rbd::vxIv(RH_upperleg_v, RH_upperleg_I) - fext[RH_UPPERLEG];
+
+ // First pass, link 'RH_lowerleg'
+ RH_lowerleg_v = ((xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_v);
+ RH_lowerleg_v(iit::rbd::AZ) += qd(RH_KFE);
+
+ iit::rbd::motionCrossProductMx<Scalar>(RH_lowerleg_v, vcross);
+
+ RH_lowerleg_a = (xm->fr_RH_lowerleg_X_fr_RH_upperleg) * RH_upperleg_a + vcross.col(iit::rbd::AZ) * qd(RH_KFE);
+ RH_lowerleg_a(iit::rbd::AZ) += qdd(RH_KFE);
+
+ RH_lowerleg_f = RH_lowerleg_I * RH_lowerleg_a + iit::rbd::vxIv(RH_lowerleg_v, RH_lowerleg_I) - fext[RH_LOWERLEG];
+
+
+ // The base
+ trunk_f = trunk_I * trunk_a + iit::rbd::vxIv(trunk_v, trunk_I) - fext[TRUNK];
+
+ secondPass_fullyActuated(jForces);
+
+ baseWrench = trunk_f;
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::InverseDynamics<TRAIT>::secondPass_fullyActuated(JointState& jForces)
+{
+ // Link 'RH_lowerleg'
+ jForces(RH_KFE) = RH_lowerleg_f(iit::rbd::AZ);
+ RH_upperleg_f += xm->fr_RH_lowerleg_X_fr_RH_upperleg.transpose() * RH_lowerleg_f;
+ // Link 'RH_upperleg'
+ jForces(RH_HFE) = RH_upperleg_f(iit::rbd::AZ);
+ RH_hipassembly_f += xm->fr_RH_upperleg_X_fr_RH_hipassembly.transpose() * RH_upperleg_f;
+ // Link 'RH_hipassembly'
+ jForces(RH_HAA) = RH_hipassembly_f(iit::rbd::AZ);
+ trunk_f += xm->fr_RH_hipassembly_X_fr_trunk.transpose() * RH_hipassembly_f;
+ // Link 'LH_lowerleg'
+ jForces(LH_KFE) = LH_lowerleg_f(iit::rbd::AZ);
+ LH_upperleg_f += xm->fr_LH_lowerleg_X_fr_LH_upperleg.transpose() * LH_lowerleg_f;
+ // Link 'LH_upperleg'
+ jForces(LH_HFE) = LH_upperleg_f(iit::rbd::AZ);
+ LH_hipassembly_f += xm->fr_LH_upperleg_X_fr_LH_hipassembly.transpose() * LH_upperleg_f;
+ // Link 'LH_hipassembly'
+ jForces(LH_HAA) = LH_hipassembly_f(iit::rbd::AZ);
+ trunk_f += xm->fr_LH_hipassembly_X_fr_trunk.transpose() * LH_hipassembly_f;
+ // Link 'RF_lowerleg'
+ jForces(RF_KFE) = RF_lowerleg_f(iit::rbd::AZ);
+ RF_upperleg_f += xm->fr_RF_lowerleg_X_fr_RF_upperleg.transpose() * RF_lowerleg_f;
+ // Link 'RF_upperleg'
+ jForces(RF_HFE) = RF_upperleg_f(iit::rbd::AZ);
+ RF_hipassembly_f += xm->fr_RF_upperleg_X_fr_RF_hipassembly.transpose() * RF_upperleg_f;
+ // Link 'RF_hipassembly'
+ jForces(RF_HAA) = RF_hipassembly_f(iit::rbd::AZ);
+ trunk_f += xm->fr_RF_hipassembly_X_fr_trunk.transpose() * RF_hipassembly_f;
+ // Link 'LF_lowerleg'
+ jForces(LF_KFE) = LF_lowerleg_f(iit::rbd::AZ);
+ LF_upperleg_f += xm->fr_LF_lowerleg_X_fr_LF_upperleg.transpose() * LF_lowerleg_f;
+ // Link 'LF_upperleg'
+ jForces(LF_HFE) = LF_upperleg_f(iit::rbd::AZ);
+ LF_hipassembly_f += xm->fr_LF_upperleg_X_fr_LF_hipassembly.transpose() * LF_upperleg_f;
+ // Link 'LF_hipassembly'
+ jForces(LF_HAA) = LF_hipassembly_f(iit::rbd::AZ);
+ trunk_f += xm->fr_LF_hipassembly_X_fr_trunk.transpose() * LF_hipassembly_f;
+}
+
diff --git a/ct_models/include/ct/models/HyQ/generated/jacobians.h b/ct_models/include/ct/models/HyQ/generated/jacobians.h
new file mode 100644
index 0000000..4885003
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/jacobians.h
@@ -0,0 +1,211 @@
+#ifndef HYQ_JACOBIANS_H_
+#define HYQ_JACOBIANS_H_
+
+ #include <iit/rbd/rbd.h>
+#include <iit/rbd/TransformsBase.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "declarations.h"
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace HyQ {
+
+template<typename SCALAR, int COLS, class M>
+class JacobianT : public iit::rbd::JacobianBase<tpl::JointState<SCALAR>, COLS, M>
+{};
+
+namespace tpl {
+
+/**
+ *
+ */
+template <typename TRAIT>
+class Jacobians {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef JointState<Scalar> JState;
+
+ class Type_fr_trunk_J_LF_hipassemblyCOM : public JacobianT<Scalar, 1, Type_fr_trunk_J_LF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_LF_hipassemblyCOM();
+ const Type_fr_trunk_J_LF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_RF_hipassemblyCOM : public JacobianT<Scalar, 1, Type_fr_trunk_J_RF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_RF_hipassemblyCOM();
+ const Type_fr_trunk_J_RF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_LH_hipassemblyCOM : public JacobianT<Scalar, 1, Type_fr_trunk_J_LH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_LH_hipassemblyCOM();
+ const Type_fr_trunk_J_LH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_RH_hipassemblyCOM : public JacobianT<Scalar, 1, Type_fr_trunk_J_RH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_RH_hipassemblyCOM();
+ const Type_fr_trunk_J_RH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_LF_upperlegCOM : public JacobianT<Scalar, 2, Type_fr_trunk_J_LF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_LF_upperlegCOM();
+ const Type_fr_trunk_J_LF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_RF_upperlegCOM : public JacobianT<Scalar, 2, Type_fr_trunk_J_RF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_RF_upperlegCOM();
+ const Type_fr_trunk_J_RF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_LH_upperlegCOM : public JacobianT<Scalar, 2, Type_fr_trunk_J_LH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_LH_upperlegCOM();
+ const Type_fr_trunk_J_LH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_RH_upperlegCOM : public JacobianT<Scalar, 2, Type_fr_trunk_J_RH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_RH_upperlegCOM();
+ const Type_fr_trunk_J_RH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_LF_lowerlegCOM : public JacobianT<Scalar, 3, Type_fr_trunk_J_LF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_LF_lowerlegCOM();
+ const Type_fr_trunk_J_LF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_RF_lowerlegCOM : public JacobianT<Scalar, 3, Type_fr_trunk_J_RF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_RF_lowerlegCOM();
+ const Type_fr_trunk_J_RF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_LH_lowerlegCOM : public JacobianT<Scalar, 3, Type_fr_trunk_J_LH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_LH_lowerlegCOM();
+ const Type_fr_trunk_J_LH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_RH_lowerlegCOM : public JacobianT<Scalar, 3, Type_fr_trunk_J_RH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_RH_lowerlegCOM();
+ const Type_fr_trunk_J_RH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_fr_LF_foot : public JacobianT<Scalar, 3, Type_fr_trunk_J_fr_LF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_fr_LF_foot();
+ const Type_fr_trunk_J_fr_LF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_fr_RF_foot : public JacobianT<Scalar, 3, Type_fr_trunk_J_fr_RF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_fr_RF_foot();
+ const Type_fr_trunk_J_fr_RF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_fr_LH_foot : public JacobianT<Scalar, 3, Type_fr_trunk_J_fr_LH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_fr_LH_foot();
+ const Type_fr_trunk_J_fr_LH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_J_fr_RH_foot : public JacobianT<Scalar, 3, Type_fr_trunk_J_fr_RH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_J_fr_RH_foot();
+ const Type_fr_trunk_J_fr_RH_foot& update(const JState&);
+ protected:
+ };
+
+ public:
+ Jacobians();
+ void updateParameters();
+ public:
+ Type_fr_trunk_J_LF_hipassemblyCOM fr_trunk_J_LF_hipassemblyCOM;
+ Type_fr_trunk_J_RF_hipassemblyCOM fr_trunk_J_RF_hipassemblyCOM;
+ Type_fr_trunk_J_LH_hipassemblyCOM fr_trunk_J_LH_hipassemblyCOM;
+ Type_fr_trunk_J_RH_hipassemblyCOM fr_trunk_J_RH_hipassemblyCOM;
+ Type_fr_trunk_J_LF_upperlegCOM fr_trunk_J_LF_upperlegCOM;
+ Type_fr_trunk_J_RF_upperlegCOM fr_trunk_J_RF_upperlegCOM;
+ Type_fr_trunk_J_LH_upperlegCOM fr_trunk_J_LH_upperlegCOM;
+ Type_fr_trunk_J_RH_upperlegCOM fr_trunk_J_RH_upperlegCOM;
+ Type_fr_trunk_J_LF_lowerlegCOM fr_trunk_J_LF_lowerlegCOM;
+ Type_fr_trunk_J_RF_lowerlegCOM fr_trunk_J_RF_lowerlegCOM;
+ Type_fr_trunk_J_LH_lowerlegCOM fr_trunk_J_LH_lowerlegCOM;
+ Type_fr_trunk_J_RH_lowerlegCOM fr_trunk_J_RH_lowerlegCOM;
+ Type_fr_trunk_J_fr_LF_foot fr_trunk_J_fr_LF_foot;
+ Type_fr_trunk_J_fr_RF_foot fr_trunk_J_fr_RF_foot;
+ Type_fr_trunk_J_fr_LH_foot fr_trunk_J_fr_LH_foot;
+ Type_fr_trunk_J_fr_RH_foot fr_trunk_J_fr_RH_foot;
+
+ protected:
+
+};
+
+} //namespace tpl
+
+using Jacobians = tpl::Jacobians<rbd::DoubleTrait>;
+
+#include "jacobians.impl.h"
+
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/jacobians.impl.h b/ct_models/include/ct/models/HyQ/generated/jacobians.impl.h
new file mode 100644
index 0000000..e2f946c
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/jacobians.impl.h
@@ -0,0 +1,566 @@
+
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Jacobians
+ ()
+ :
+ fr_trunk_J_LF_hipassemblyCOM(),
+ fr_trunk_J_RF_hipassemblyCOM(),
+ fr_trunk_J_LH_hipassemblyCOM(),
+ fr_trunk_J_RH_hipassemblyCOM(),
+ fr_trunk_J_LF_upperlegCOM(),
+ fr_trunk_J_RF_upperlegCOM(),
+ fr_trunk_J_LH_upperlegCOM(),
+ fr_trunk_J_RH_upperlegCOM(),
+ fr_trunk_J_LF_lowerlegCOM(),
+ fr_trunk_J_RF_lowerlegCOM(),
+ fr_trunk_J_LH_lowerlegCOM(),
+ fr_trunk_J_RH_lowerlegCOM(),
+ fr_trunk_J_fr_LF_foot(),
+ fr_trunk_J_fr_RF_foot(),
+ fr_trunk_J_fr_LH_foot(),
+ fr_trunk_J_fr_RH_foot()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::HyQ::tpl::Jacobians<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_hipassemblyCOM::Type_fr_trunk_J_LF_hipassemblyCOM()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_hipassemblyCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_hipassemblyCOM::update(const JState& jState) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( jState(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( jState(LF_HAA));
+
+ (*this)(4,0) = (- 0.043 * cos__q_LF_HAA__);
+ (*this)(5,0) = ( 0.043 * sin__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_hipassemblyCOM::Type_fr_trunk_J_RF_hipassemblyCOM()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_hipassemblyCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_hipassemblyCOM::update(const JState& jState) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( jState(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( jState(RF_HAA));
+
+ (*this)(4,0) = ( 0.043 * cos__q_RF_HAA__);
+ (*this)(5,0) = ( 0.043 * sin__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_hipassemblyCOM::Type_fr_trunk_J_LH_hipassemblyCOM()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_hipassemblyCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_hipassemblyCOM::update(const JState& jState) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( jState(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( jState(LH_HAA));
+
+ (*this)(4,0) = (- 0.043 * cos__q_LH_HAA__);
+ (*this)(5,0) = ( 0.043 * sin__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_hipassemblyCOM::Type_fr_trunk_J_RH_hipassemblyCOM()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_hipassemblyCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_hipassemblyCOM::update(const JState& jState) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( jState(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( jState(RH_HAA));
+
+ (*this)(4,0) = ( 0.043 * cos__q_RH_HAA__);
+ (*this)(5,0) = ( 0.043 * sin__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_upperlegCOM::Type_fr_trunk_J_LF_upperlegCOM()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(0,1) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_upperlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_upperlegCOM::update(const JState& jState) {
+ Scalar sin__q_LF_HAA__;
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( jState(LF_HAA));
+ sin__q_LF_HFE__ = TRAIT::sin( jState(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( jState(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( jState(LF_HFE));
+
+ (*this)(1,1) = cos__q_LF_HAA__;
+ (*this)(2,1) = - sin__q_LF_HAA__;
+ (*this)(3,1) = ((- 0.026 * sin__q_LF_HFE__) - ( 0.151 * cos__q_LF_HFE__));
+ (*this)(4,0) = ((((- 0.026 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.151 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * cos__q_LF_HAA__));
+ (*this)(4,1) = ((( 0.151 * sin__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.026 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(5,0) = (((( 0.026 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.151 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.08 * sin__q_LF_HAA__));
+ (*this)(5,1) = ((( 0.151 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.026 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_upperlegCOM::Type_fr_trunk_J_RF_upperlegCOM()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_upperlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_upperlegCOM::update(const JState& jState) {
+ Scalar sin__q_RF_HAA__;
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( jState(RF_HAA));
+ sin__q_RF_HFE__ = TRAIT::sin( jState(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( jState(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( jState(RF_HFE));
+
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(3,1) = ((- 0.026 * sin__q_RF_HFE__) - ( 0.151 * cos__q_RF_HFE__));
+ (*this)(4,0) = (((( 0.026 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.151 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * cos__q_RF_HAA__));
+ (*this)(4,1) = ((( 0.026 * sin__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.151 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,0) = (((( 0.026 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.151 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * sin__q_RF_HAA__));
+ (*this)(5,1) = ((( 0.151 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.026 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_upperlegCOM::Type_fr_trunk_J_LH_upperlegCOM()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(0,1) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_upperlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_upperlegCOM::update(const JState& jState) {
+ Scalar sin__q_LH_HAA__;
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( jState(LH_HAA));
+ sin__q_LH_HFE__ = TRAIT::sin( jState(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( jState(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( jState(LH_HFE));
+
+ (*this)(1,1) = cos__q_LH_HAA__;
+ (*this)(2,1) = - sin__q_LH_HAA__;
+ (*this)(3,1) = (( 0.026 * sin__q_LH_HFE__) - ( 0.151 * cos__q_LH_HFE__));
+ (*this)(4,0) = (((( 0.026 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.151 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * cos__q_LH_HAA__));
+ (*this)(4,1) = ((( 0.151 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.026 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(5,0) = ((((- 0.026 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.151 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.08 * sin__q_LH_HAA__));
+ (*this)(5,1) = ((( 0.151 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.026 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_upperlegCOM::Type_fr_trunk_J_RH_upperlegCOM()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_upperlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_upperlegCOM::update(const JState& jState) {
+ Scalar sin__q_RH_HAA__;
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( jState(RH_HAA));
+ sin__q_RH_HFE__ = TRAIT::sin( jState(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( jState(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( jState(RH_HFE));
+
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(3,1) = (( 0.026 * sin__q_RH_HFE__) - ( 0.151 * cos__q_RH_HFE__));
+ (*this)(4,0) = ((((- 0.026 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.151 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * cos__q_RH_HAA__));
+ (*this)(4,1) = (((- 0.151 * sin__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.026 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(5,0) = ((((- 0.026 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.151 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * sin__q_RH_HAA__));
+ (*this)(5,1) = ((( 0.151 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.026 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_lowerlegCOM::Type_fr_trunk_J_LF_lowerlegCOM()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_lowerlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LF_lowerlegCOM::update(const JState& jState) {
+ Scalar sin__q_LF_HAA__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( jState(LF_HAA));
+ sin__q_LF_HFE__ = TRAIT::sin( jState(LF_HFE));
+ sin__q_LF_KFE__ = TRAIT::sin( jState(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( jState(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( jState(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( jState(LF_KFE));
+
+ (*this)(1,1) = cos__q_LF_HAA__;
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,1) = - sin__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,1) = (((( 0.125 * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( 0.125 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - ( 0.35 * cos__q_LF_HFE__));
+ (*this)(3,2) = ((( 0.125 * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( 0.125 * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,0) = (((((( 0.125 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * cos__q_LF_HAA__));
+ (*this)(4,1) = ((((( 0.125 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.125 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) + (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(4,2) = (((( 0.125 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.125 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,0) = ((((((- 0.125 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.125 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + (( 0.35 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.08 * sin__q_LF_HAA__));
+ (*this)(5,1) = ((((( 0.125 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.125 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) + (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(5,2) = (((( 0.125 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.125 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_lowerlegCOM::Type_fr_trunk_J_RF_lowerlegCOM()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_lowerlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RF_lowerlegCOM::update(const JState& jState) {
+ Scalar sin__q_RF_HAA__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( jState(RF_HAA));
+ sin__q_RF_HFE__ = TRAIT::sin( jState(RF_HFE));
+ sin__q_RF_KFE__ = TRAIT::sin( jState(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( jState(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( jState(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( jState(RF_KFE));
+
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,1) = ((((( 0.125 * sin__q_RF_HFE__) + ( 0.001 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((( 0.001 * sin__q_RF_HFE__) - ( 0.125 * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - ( 0.35 * cos__q_RF_HFE__));
+ (*this)(3,2) = (((( 0.125 * sin__q_RF_HFE__) + ( 0.001 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((( 0.001 * sin__q_RF_HFE__) - ( 0.125 * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(4,0) = (((((((- 0.125 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) * cos__q_RF_KFE__)) + (( 0.35 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * cos__q_RF_HAA__));
+ (*this)(4,1) = (((((( 0.001 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.125 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((((- 0.125 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(4,2) = ((((( 0.001 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.125 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((((- 0.125 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(5,0) = (((((((- 0.125 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * sin__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * sin__q_RF_HAA__));
+ (*this)(5,1) = (((((( 0.125 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.001 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) + (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,2) = ((((( 0.125 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.001 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_lowerlegCOM::Type_fr_trunk_J_LH_lowerlegCOM()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_lowerlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_LH_lowerlegCOM::update(const JState& jState) {
+ Scalar sin__q_LH_HAA__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( jState(LH_HAA));
+ sin__q_LH_HFE__ = TRAIT::sin( jState(LH_HFE));
+ sin__q_LH_KFE__ = TRAIT::sin( jState(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( jState(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( jState(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( jState(LH_KFE));
+
+ (*this)(1,1) = cos__q_LH_HAA__;
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,1) = - sin__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,1) = ((((( 0.125 * sin__q_LH_HFE__) - ( 0.001 * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((- 0.001 * sin__q_LH_HFE__) - ( 0.125 * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) - ( 0.35 * cos__q_LH_HFE__));
+ (*this)(3,2) = (((( 0.125 * sin__q_LH_HFE__) - ( 0.001 * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((- 0.001 * sin__q_LH_HFE__) - ( 0.125 * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(4,0) = ((((((( 0.125 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((- 0.001 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * cos__q_LH_HAA__));
+ (*this)(4,1) = (((((( 0.001 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.125 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.125 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(4,2) = ((((( 0.001 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.125 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.125 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(5,0) = ((((((( 0.001 * sin__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.125 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.001 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.125 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + (( 0.35 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.08 * sin__q_LH_HAA__));
+ (*this)(5,1) = (((((( 0.001 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.125 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.125 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(5,2) = ((((( 0.001 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.125 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.125 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_lowerlegCOM::Type_fr_trunk_J_RH_lowerlegCOM()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_lowerlegCOM& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_RH_lowerlegCOM::update(const JState& jState) {
+ Scalar sin__q_RH_HAA__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( jState(RH_HAA));
+ sin__q_RH_HFE__ = TRAIT::sin( jState(RH_HFE));
+ sin__q_RH_KFE__ = TRAIT::sin( jState(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( jState(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( jState(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( jState(RH_KFE));
+
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,1) = ((((( 0.1254 * sin__q_RH_HFE__) - ( 5.0E-4 * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((- 5.0E-4 * sin__q_RH_HFE__) - ( 0.1254 * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) - ( 0.35 * cos__q_RH_HFE__));
+ (*this)(3,2) = (((( 0.1254 * sin__q_RH_HFE__) - ( 5.0E-4 * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((- 5.0E-4 * sin__q_RH_HFE__) - ( 0.1254 * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(4,0) = ((((((( 5.0E-4 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + (( 0.35 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * cos__q_RH_HAA__));
+ (*this)(4,1) = ((((((- 5.0E-4 * sin__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.1254 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * sin__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) * cos__q_RH_KFE__)) - (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__));
+ (*this)(4,2) = (((((- 5.0E-4 * sin__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.1254 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * sin__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(5,0) = ((((((( 5.0E-4 * sin__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * sin__q_RH_HAA__));
+ (*this)(5,1) = (((((( 5.0E-4 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 0.1254 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 5.0E-4 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__));
+ (*this)(5,2) = ((((( 5.0E-4 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 0.1254 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 5.0E-4 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_LF_foot::Type_fr_trunk_J_fr_LF_foot()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_LF_foot& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_LF_foot::update(const JState& jState) {
+ Scalar sin__q_LF_HAA__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( jState(LF_HAA));
+ sin__q_LF_HFE__ = TRAIT::sin( jState(LF_HFE));
+ sin__q_LF_KFE__ = TRAIT::sin( jState(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( jState(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( jState(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( jState(LF_KFE));
+
+ (*this)(1,1) = cos__q_LF_HAA__;
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,1) = - sin__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,1) = (((( 0.33 * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( 0.33 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - ( 0.35 * cos__q_LF_HFE__));
+ (*this)(3,2) = ((( 0.33 * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( 0.33 * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,0) = (((((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * cos__q_LF_HAA__));
+ (*this)(4,1) = ((((( 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) + (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(4,2) = (((( 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + (( 0.35 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.08 * sin__q_LF_HAA__));
+ (*this)(5,1) = ((((( 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) + (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(5,2) = (((( 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_RF_foot::Type_fr_trunk_J_fr_RF_foot()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_RF_foot& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_RF_foot::update(const JState& jState) {
+ Scalar sin__q_RF_HAA__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( jState(RF_HAA));
+ sin__q_RF_HFE__ = TRAIT::sin( jState(RF_HFE));
+ sin__q_RF_KFE__ = TRAIT::sin( jState(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( jState(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( jState(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( jState(RF_KFE));
+
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,1) = (((( 0.33 * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( 0.33 * cos__q_RF_HFE__) * cos__q_RF_KFE__)) - ( 0.35 * cos__q_RF_HFE__));
+ (*this)(3,2) = ((( 0.33 * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( 0.33 * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,0) = ((((((- 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * cos__q_RF_HAA__));
+ (*this)(4,1) = (((((- 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) - (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(4,2) = ((((- 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * sin__q_RF_HAA__));
+ (*this)(5,1) = ((((( 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,2) = (((( 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_LH_foot::Type_fr_trunk_J_fr_LH_foot()
+{
+ (*this)(0,0) = - 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_LH_foot& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_LH_foot::update(const JState& jState) {
+ Scalar sin__q_LH_HAA__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( jState(LH_HAA));
+ sin__q_LH_HFE__ = TRAIT::sin( jState(LH_HFE));
+ sin__q_LH_KFE__ = TRAIT::sin( jState(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( jState(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( jState(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( jState(LH_KFE));
+
+ (*this)(1,1) = cos__q_LH_HAA__;
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,1) = - sin__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,1) = (((( 0.33 * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( 0.33 * cos__q_LH_HFE__) * cos__q_LH_KFE__)) - ( 0.35 * cos__q_LH_HFE__));
+ (*this)(3,2) = ((( 0.33 * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( 0.33 * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,0) = (((((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * cos__q_LH_HAA__));
+ (*this)(4,1) = ((((( 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) + (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(4,2) = (((( 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__)) + (( 0.35 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.08 * sin__q_LH_HAA__));
+ (*this)(5,1) = ((((( 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) + (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(5,2) = (((( 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_RH_foot::Type_fr_trunk_J_fr_RH_foot()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_RH_foot& iit::HyQ::tpl::Jacobians<TRAIT>::Type_fr_trunk_J_fr_RH_foot::update(const JState& jState) {
+ Scalar sin__q_RH_HAA__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( jState(RH_HAA));
+ sin__q_RH_HFE__ = TRAIT::sin( jState(RH_HFE));
+ sin__q_RH_KFE__ = TRAIT::sin( jState(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( jState(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( jState(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( jState(RH_KFE));
+
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,1) = (((( 0.33 * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( 0.33 * cos__q_RH_HFE__) * cos__q_RH_KFE__)) - ( 0.35 * cos__q_RH_HFE__));
+ (*this)(3,2) = ((( 0.33 * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( 0.33 * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,0) = ((((((- 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * cos__q_RH_HAA__));
+ (*this)(4,1) = (((((- 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) - (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__));
+ (*this)(4,2) = ((((- 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * sin__q_RH_HAA__));
+ (*this)(5,1) = ((((( 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__));
+ (*this)(5,2) = (((( 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ return *this;
+}
diff --git a/ct_models/include/ct/models/HyQ/generated/joint_data_map.h b/ct_models/include/ct/models/HyQ/generated/joint_data_map.h
new file mode 100644
index 0000000..006c1a6
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/joint_data_map.h
@@ -0,0 +1,130 @@
+#ifndef IIT_HYQ_JOINT_DATA_MAP_H_
+#define IIT_HYQ_JOINT_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace HyQ {
+
+/**
+ * A very simple container to associate a generic data item to each joint
+ */
+template<typename T> class JointDataMap {
+private:
+ T data[jointsCount];
+public:
+ JointDataMap() {};
+ JointDataMap(const T& defaultValue);
+ JointDataMap(const JointDataMap& rhs);
+ JointDataMap& operator=(const JointDataMap& rhs);
+ JointDataMap& operator=(const T& rhs);
+ T& operator[](JointIdentifiers which);
+ const T& operator[](JointIdentifiers which) const;
+private:
+ void copydata(const JointDataMap& rhs);
+ void assigndata(const T& rhs);
+};
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const JointDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const JointDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& JointDataMap<T>::operator[](JointIdentifiers j) {
+ return data[j];
+}
+
+template<typename T> inline
+const T& JointDataMap<T>::operator[](JointIdentifiers j) const {
+ return data[j];
+}
+
+template<typename T> inline
+void JointDataMap<T>::copydata(const JointDataMap& rhs) {
+ data[LF_HAA] = rhs[LF_HAA];
+ data[LF_HFE] = rhs[LF_HFE];
+ data[LF_KFE] = rhs[LF_KFE];
+ data[RF_HAA] = rhs[RF_HAA];
+ data[RF_HFE] = rhs[RF_HFE];
+ data[RF_KFE] = rhs[RF_KFE];
+ data[LH_HAA] = rhs[LH_HAA];
+ data[LH_HFE] = rhs[LH_HFE];
+ data[LH_KFE] = rhs[LH_KFE];
+ data[RH_HAA] = rhs[RH_HAA];
+ data[RH_HFE] = rhs[RH_HFE];
+ data[RH_KFE] = rhs[RH_KFE];
+}
+
+template<typename T> inline
+void JointDataMap<T>::assigndata(const T& value) {
+ data[LF_HAA] = value;
+ data[LF_HFE] = value;
+ data[LF_KFE] = value;
+ data[RF_HAA] = value;
+ data[RF_HFE] = value;
+ data[RF_KFE] = value;
+ data[LH_HAA] = value;
+ data[LH_HFE] = value;
+ data[LH_KFE] = value;
+ data[RH_HAA] = value;
+ data[RH_HFE] = value;
+ data[RH_KFE] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const JointDataMap<T>& map) {
+ out
+ << " LF_HAA = "
+ << map[LF_HAA]
+ << " LF_HFE = "
+ << map[LF_HFE]
+ << " LF_KFE = "
+ << map[LF_KFE]
+ << " RF_HAA = "
+ << map[RF_HAA]
+ << " RF_HFE = "
+ << map[RF_HFE]
+ << " RF_KFE = "
+ << map[RF_KFE]
+ << " LH_HAA = "
+ << map[LH_HAA]
+ << " LH_HFE = "
+ << map[LH_HFE]
+ << " LH_KFE = "
+ << map[LH_KFE]
+ << " RH_HAA = "
+ << map[RH_HAA]
+ << " RH_HFE = "
+ << map[RH_HFE]
+ << " RH_KFE = "
+ << map[RH_KFE]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/jsim.h b/ct_models/include/ct/models/HyQ/generated/jsim.h
new file mode 100644
index 0000000..fd98bed
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/jsim.h
@@ -0,0 +1,162 @@
+#ifndef IIT_HYQ_JSIM_H_
+#define IIT_HYQ_JSIM_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/StateDependentMatrix.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+
+namespace iit {
+namespace HyQ {
+namespace dyn {
+
+namespace tpl {
+
+/**
+ * The type of the Joint Space Inertia Matrix (JSIM) of the robot HyQ.
+ */
+template <typename TRAIT>
+class JSIM : public iit::rbd::StateDependentMatrix<iit::HyQ::tpl::JointState<typename TRAIT::Scalar>, 18, 18, JSIM<TRAIT>>
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ private:
+ typedef iit::rbd::StateDependentMatrix<iit::HyQ::tpl::JointState<typename TRAIT::Scalar>, 18, 18, JSIM<TRAIT>> Base;
+ public:
+ typedef typename TRAIT::Scalar Scalar;
+ typedef typename iit::HyQ::tpl::JointState<Scalar> JointState;
+ typedef iit::rbd::Core<Scalar> CoreS;
+ typedef typename Base::Index Index;
+ typedef typename iit::rbd::PlainMatrix<Scalar, 18, 18> MatrixType;
+ /** The type of the F sub-block of the floating-base JSIM */
+ typedef const Eigen::Block<const MatrixType,6,12> BlockF_t;
+ /** The type of the fixed-base sub-block of the JSIM */
+ typedef const Eigen::Block<const MatrixType,12,12> BlockFixedBase_t;
+ typedef InertiaProperties<TRAIT> IProperties;
+ typedef iit::HyQ::tpl::ForceTransforms<TRAIT> FTransforms;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+
+ public:
+ JSIM(IProperties&, FTransforms&);
+ ~JSIM() {}
+
+ const JSIM& update(const JointState&);
+
+
+ /**
+ * Computes and saves the matrix L of the L^T L factorization of this JSIM.
+ */
+ void computeL();
+ /**
+ * Computes and saves the inverse of this JSIM.
+ * This function assumes that computeL() has been called already, since it
+ * uses L to compute the inverse. The algorithm takes advantage of the branch
+ * induced sparsity of the robot, if any.
+ */
+ void computeInverse();
+ /**
+ * Returns an unmodifiable reference to the matrix L. See also computeL()
+ */
+ const MatrixType& getL() const;
+ /**
+ * Returns an unmodifiable reference to the inverse of this JSIM
+ */
+ const MatrixType& getInverse() const;
+
+ /**
+ * The spatial composite-inertia tensor of the robot base,
+ * ie the inertia of the whole robot for the current configuration.
+ * According to the convention of this class about the layout of the
+ * floating-base JSIM, this tensor is the 6x6 upper left corner of
+ * the JSIM itself.
+ * \return the 6x6 InertiaMatrix that correspond to the spatial inertia
+ * tensor of the whole robot, according to the last joints configuration
+ * used to update this JSIM
+ */
+ const InertiaMatrix& getWholeBodyInertia() const;
+ /**
+ * The matrix that maps accelerations in the actual joints of the robot
+ * to the spatial force acting on the floating-base of the robot.
+ * This matrix is the F sub-block of the JSIM in Featherstone's notation.
+ * \return the 6x12 upper right block of this JSIM
+ */
+ const BlockF_t getF() const;
+ /**
+ * The submatrix of this JSIM related only to the actual joints of the
+ * robot (as for a fixed-base robot).
+ * This matrix is the H sub-block of the JSIM in Featherstone's notation.
+ * \return the 12x12 lower right block of this JSIM,
+ * which correspond to the fixed-base JSIM
+ */
+ const BlockFixedBase_t getFixedBaseBlock() const;
+ protected:
+ /**
+ * Computes and saves the inverse of the matrix L. See also computeL()
+ */
+ void computeLInverse();
+ private:
+ IProperties& linkInertias;
+ FTransforms* frcTransf;
+
+ // The composite-inertia tensor for each link
+ InertiaMatrix trunk_Ic;
+ InertiaMatrix LF_hipassembly_Ic;
+ InertiaMatrix LF_upperleg_Ic;
+ const InertiaMatrix& LF_lowerleg_Ic;
+ InertiaMatrix RF_hipassembly_Ic;
+ InertiaMatrix RF_upperleg_Ic;
+ const InertiaMatrix& RF_lowerleg_Ic;
+ InertiaMatrix LH_hipassembly_Ic;
+ InertiaMatrix LH_upperleg_Ic;
+ const InertiaMatrix& LH_lowerleg_Ic;
+ InertiaMatrix RH_hipassembly_Ic;
+ InertiaMatrix RH_upperleg_Ic;
+ const InertiaMatrix& RH_lowerleg_Ic;
+ InertiaMatrix Ic_spare;
+
+ MatrixType L;
+ MatrixType Linv;
+ MatrixType inverse;
+};
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getL() const {
+ return L;
+}
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getInverse() const {
+ return inverse;
+}
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::InertiaMatrix& JSIM<TRAIT>::getWholeBodyInertia() const {
+ return trunk_Ic;
+}
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::BlockF_t JSIM<TRAIT>::getF() const {
+ return JSIM<TRAIT>:: template block<6,12>(0,6);
+}
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::BlockFixedBase_t JSIM<TRAIT>::getFixedBaseBlock() const{
+ return JSIM<TRAIT>:: template block<12,12>(6,6);
+}
+
+}
+
+typedef tpl::JSIM<rbd::DoubleTrait> JSIM;
+
+}
+}
+}
+
+#include "jsim.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/jsim.impl.h b/ct_models/include/ct/models/HyQ/generated/jsim.impl.h
new file mode 100644
index 0000000..b26126c
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/jsim.impl.h
@@ -0,0 +1,344 @@
+
+
+//Implementation of default constructor
+template <typename TRAIT>
+iit::HyQ::dyn::tpl::JSIM<TRAIT>::JSIM(IProperties& inertiaProperties, FTransforms& forceTransforms) :
+ linkInertias(inertiaProperties),
+ frcTransf( &forceTransforms ),
+ LF_lowerleg_Ic(linkInertias.getTensor_LF_lowerleg()),
+ RF_lowerleg_Ic(linkInertias.getTensor_RF_lowerleg()),
+ LH_lowerleg_Ic(linkInertias.getTensor_LH_lowerleg()),
+ RH_lowerleg_Ic(linkInertias.getTensor_RH_lowerleg())
+{
+ //Initialize the matrix itself
+ this->setZero();
+}
+
+#define DATA tpl::JSIM<TRAIT>::operator()
+#define Fcol(j) (tpl::JSIM<TRAIT>:: template block<6,1>(0,(j)+6))
+#define F(i,j) DATA((i),(j)+6)
+
+template <typename TRAIT>
+const typename iit::HyQ::dyn::tpl::JSIM<TRAIT>& iit::HyQ::dyn::tpl::JSIM<TRAIT>::update(const JointState& state) {
+
+ // Precomputes only once the coordinate transforms:
+ frcTransf -> fr_RH_upperleg_X_fr_RH_lowerleg(state);
+ frcTransf -> fr_RH_hipassembly_X_fr_RH_upperleg(state);
+ frcTransf -> fr_trunk_X_fr_RH_hipassembly(state);
+ frcTransf -> fr_LH_upperleg_X_fr_LH_lowerleg(state);
+ frcTransf -> fr_LH_hipassembly_X_fr_LH_upperleg(state);
+ frcTransf -> fr_trunk_X_fr_LH_hipassembly(state);
+ frcTransf -> fr_RF_upperleg_X_fr_RF_lowerleg(state);
+ frcTransf -> fr_RF_hipassembly_X_fr_RF_upperleg(state);
+ frcTransf -> fr_trunk_X_fr_RF_hipassembly(state);
+ frcTransf -> fr_LF_upperleg_X_fr_LF_lowerleg(state);
+ frcTransf -> fr_LF_hipassembly_X_fr_LF_upperleg(state);
+ frcTransf -> fr_trunk_X_fr_LF_hipassembly(state);
+
+ // Initializes the composite inertia tensors
+ trunk_Ic = linkInertias.getTensor_trunk();
+ LF_hipassembly_Ic = linkInertias.getTensor_LF_hipassembly();
+ LF_upperleg_Ic = linkInertias.getTensor_LF_upperleg();
+ RF_hipassembly_Ic = linkInertias.getTensor_RF_hipassembly();
+ RF_upperleg_Ic = linkInertias.getTensor_RF_upperleg();
+ LH_hipassembly_Ic = linkInertias.getTensor_LH_hipassembly();
+ LH_upperleg_Ic = linkInertias.getTensor_LH_upperleg();
+ RH_hipassembly_Ic = linkInertias.getTensor_RH_hipassembly();
+ RH_upperleg_Ic = linkInertias.getTensor_RH_upperleg();
+
+ // "Bottom-up" loop to update the inertia-composite property of each link, for the current configuration
+
+ // Link RH_lowerleg:
+ iit::rbd::transformInertia<Scalar>(RH_lowerleg_Ic, frcTransf -> fr_RH_upperleg_X_fr_RH_lowerleg, Ic_spare);
+ RH_upperleg_Ic += Ic_spare;
+
+ Fcol(RH_KFE) = RH_lowerleg_Ic.col(iit::rbd::AZ);
+ DATA(RH_KFE+6, RH_KFE+6) = Fcol(RH_KFE)(iit::rbd::AZ);
+
+ Fcol(RH_KFE) = frcTransf -> fr_RH_upperleg_X_fr_RH_lowerleg * Fcol(RH_KFE);
+ DATA(RH_KFE+6, RH_HFE+6) = F(iit::rbd::AZ,RH_KFE);
+ DATA(RH_HFE+6, RH_KFE+6) = DATA(RH_KFE+6, RH_HFE+6);
+ Fcol(RH_KFE) = frcTransf -> fr_RH_hipassembly_X_fr_RH_upperleg * Fcol(RH_KFE);
+ DATA(RH_KFE+6, RH_HAA+6) = F(iit::rbd::AZ,RH_KFE);
+ DATA(RH_HAA+6, RH_KFE+6) = DATA(RH_KFE+6, RH_HAA+6);
+ Fcol(RH_KFE) = frcTransf -> fr_trunk_X_fr_RH_hipassembly * Fcol(RH_KFE);
+
+ // Link RH_upperleg:
+ iit::rbd::transformInertia<Scalar>(RH_upperleg_Ic, frcTransf -> fr_RH_hipassembly_X_fr_RH_upperleg, Ic_spare);
+ RH_hipassembly_Ic += Ic_spare;
+
+ Fcol(RH_HFE) = RH_upperleg_Ic.col(iit::rbd::AZ);
+ DATA(RH_HFE+6, RH_HFE+6) = Fcol(RH_HFE)(iit::rbd::AZ);
+
+ Fcol(RH_HFE) = frcTransf -> fr_RH_hipassembly_X_fr_RH_upperleg * Fcol(RH_HFE);
+ DATA(RH_HFE+6, RH_HAA+6) = F(iit::rbd::AZ,RH_HFE);
+ DATA(RH_HAA+6, RH_HFE+6) = DATA(RH_HFE+6, RH_HAA+6);
+ Fcol(RH_HFE) = frcTransf -> fr_trunk_X_fr_RH_hipassembly * Fcol(RH_HFE);
+
+ // Link RH_hipassembly:
+ iit::rbd::transformInertia<Scalar>(RH_hipassembly_Ic, frcTransf -> fr_trunk_X_fr_RH_hipassembly, Ic_spare);
+ trunk_Ic += Ic_spare;
+
+ Fcol(RH_HAA) = RH_hipassembly_Ic.col(iit::rbd::AZ);
+ DATA(RH_HAA+6, RH_HAA+6) = Fcol(RH_HAA)(iit::rbd::AZ);
+
+ Fcol(RH_HAA) = frcTransf -> fr_trunk_X_fr_RH_hipassembly * Fcol(RH_HAA);
+
+ // Link LH_lowerleg:
+ iit::rbd::transformInertia<Scalar>(LH_lowerleg_Ic, frcTransf -> fr_LH_upperleg_X_fr_LH_lowerleg, Ic_spare);
+ LH_upperleg_Ic += Ic_spare;
+
+ Fcol(LH_KFE) = LH_lowerleg_Ic.col(iit::rbd::AZ);
+ DATA(LH_KFE+6, LH_KFE+6) = Fcol(LH_KFE)(iit::rbd::AZ);
+
+ Fcol(LH_KFE) = frcTransf -> fr_LH_upperleg_X_fr_LH_lowerleg * Fcol(LH_KFE);
+ DATA(LH_KFE+6, LH_HFE+6) = F(iit::rbd::AZ,LH_KFE);
+ DATA(LH_HFE+6, LH_KFE+6) = DATA(LH_KFE+6, LH_HFE+6);
+ Fcol(LH_KFE) = frcTransf -> fr_LH_hipassembly_X_fr_LH_upperleg * Fcol(LH_KFE);
+ DATA(LH_KFE+6, LH_HAA+6) = F(iit::rbd::AZ,LH_KFE);
+ DATA(LH_HAA+6, LH_KFE+6) = DATA(LH_KFE+6, LH_HAA+6);
+ Fcol(LH_KFE) = frcTransf -> fr_trunk_X_fr_LH_hipassembly * Fcol(LH_KFE);
+
+ // Link LH_upperleg:
+ iit::rbd::transformInertia<Scalar>(LH_upperleg_Ic, frcTransf -> fr_LH_hipassembly_X_fr_LH_upperleg, Ic_spare);
+ LH_hipassembly_Ic += Ic_spare;
+
+ Fcol(LH_HFE) = LH_upperleg_Ic.col(iit::rbd::AZ);
+ DATA(LH_HFE+6, LH_HFE+6) = Fcol(LH_HFE)(iit::rbd::AZ);
+
+ Fcol(LH_HFE) = frcTransf -> fr_LH_hipassembly_X_fr_LH_upperleg * Fcol(LH_HFE);
+ DATA(LH_HFE+6, LH_HAA+6) = F(iit::rbd::AZ,LH_HFE);
+ DATA(LH_HAA+6, LH_HFE+6) = DATA(LH_HFE+6, LH_HAA+6);
+ Fcol(LH_HFE) = frcTransf -> fr_trunk_X_fr_LH_hipassembly * Fcol(LH_HFE);
+
+ // Link LH_hipassembly:
+ iit::rbd::transformInertia<Scalar>(LH_hipassembly_Ic, frcTransf -> fr_trunk_X_fr_LH_hipassembly, Ic_spare);
+ trunk_Ic += Ic_spare;
+
+ Fcol(LH_HAA) = LH_hipassembly_Ic.col(iit::rbd::AZ);
+ DATA(LH_HAA+6, LH_HAA+6) = Fcol(LH_HAA)(iit::rbd::AZ);
+
+ Fcol(LH_HAA) = frcTransf -> fr_trunk_X_fr_LH_hipassembly * Fcol(LH_HAA);
+
+ // Link RF_lowerleg:
+ iit::rbd::transformInertia<Scalar>(RF_lowerleg_Ic, frcTransf -> fr_RF_upperleg_X_fr_RF_lowerleg, Ic_spare);
+ RF_upperleg_Ic += Ic_spare;
+
+ Fcol(RF_KFE) = RF_lowerleg_Ic.col(iit::rbd::AZ);
+ DATA(RF_KFE+6, RF_KFE+6) = Fcol(RF_KFE)(iit::rbd::AZ);
+
+ Fcol(RF_KFE) = frcTransf -> fr_RF_upperleg_X_fr_RF_lowerleg * Fcol(RF_KFE);
+ DATA(RF_KFE+6, RF_HFE+6) = F(iit::rbd::AZ,RF_KFE);
+ DATA(RF_HFE+6, RF_KFE+6) = DATA(RF_KFE+6, RF_HFE+6);
+ Fcol(RF_KFE) = frcTransf -> fr_RF_hipassembly_X_fr_RF_upperleg * Fcol(RF_KFE);
+ DATA(RF_KFE+6, RF_HAA+6) = F(iit::rbd::AZ,RF_KFE);
+ DATA(RF_HAA+6, RF_KFE+6) = DATA(RF_KFE+6, RF_HAA+6);
+ Fcol(RF_KFE) = frcTransf -> fr_trunk_X_fr_RF_hipassembly * Fcol(RF_KFE);
+
+ // Link RF_upperleg:
+ iit::rbd::transformInertia<Scalar>(RF_upperleg_Ic, frcTransf -> fr_RF_hipassembly_X_fr_RF_upperleg, Ic_spare);
+ RF_hipassembly_Ic += Ic_spare;
+
+ Fcol(RF_HFE) = RF_upperleg_Ic.col(iit::rbd::AZ);
+ DATA(RF_HFE+6, RF_HFE+6) = Fcol(RF_HFE)(iit::rbd::AZ);
+
+ Fcol(RF_HFE) = frcTransf -> fr_RF_hipassembly_X_fr_RF_upperleg * Fcol(RF_HFE);
+ DATA(RF_HFE+6, RF_HAA+6) = F(iit::rbd::AZ,RF_HFE);
+ DATA(RF_HAA+6, RF_HFE+6) = DATA(RF_HFE+6, RF_HAA+6);
+ Fcol(RF_HFE) = frcTransf -> fr_trunk_X_fr_RF_hipassembly * Fcol(RF_HFE);
+
+ // Link RF_hipassembly:
+ iit::rbd::transformInertia<Scalar>(RF_hipassembly_Ic, frcTransf -> fr_trunk_X_fr_RF_hipassembly, Ic_spare);
+ trunk_Ic += Ic_spare;
+
+ Fcol(RF_HAA) = RF_hipassembly_Ic.col(iit::rbd::AZ);
+ DATA(RF_HAA+6, RF_HAA+6) = Fcol(RF_HAA)(iit::rbd::AZ);
+
+ Fcol(RF_HAA) = frcTransf -> fr_trunk_X_fr_RF_hipassembly * Fcol(RF_HAA);
+
+ // Link LF_lowerleg:
+ iit::rbd::transformInertia<Scalar>(LF_lowerleg_Ic, frcTransf -> fr_LF_upperleg_X_fr_LF_lowerleg, Ic_spare);
+ LF_upperleg_Ic += Ic_spare;
+
+ Fcol(LF_KFE) = LF_lowerleg_Ic.col(iit::rbd::AZ);
+ DATA(LF_KFE+6, LF_KFE+6) = Fcol(LF_KFE)(iit::rbd::AZ);
+
+ Fcol(LF_KFE) = frcTransf -> fr_LF_upperleg_X_fr_LF_lowerleg * Fcol(LF_KFE);
+ DATA(LF_KFE+6, LF_HFE+6) = F(iit::rbd::AZ,LF_KFE);
+ DATA(LF_HFE+6, LF_KFE+6) = DATA(LF_KFE+6, LF_HFE+6);
+ Fcol(LF_KFE) = frcTransf -> fr_LF_hipassembly_X_fr_LF_upperleg * Fcol(LF_KFE);
+ DATA(LF_KFE+6, LF_HAA+6) = F(iit::rbd::AZ,LF_KFE);
+ DATA(LF_HAA+6, LF_KFE+6) = DATA(LF_KFE+6, LF_HAA+6);
+ Fcol(LF_KFE) = frcTransf -> fr_trunk_X_fr_LF_hipassembly * Fcol(LF_KFE);
+
+ // Link LF_upperleg:
+ iit::rbd::transformInertia<Scalar>(LF_upperleg_Ic, frcTransf -> fr_LF_hipassembly_X_fr_LF_upperleg, Ic_spare);
+ LF_hipassembly_Ic += Ic_spare;
+
+ Fcol(LF_HFE) = LF_upperleg_Ic.col(iit::rbd::AZ);
+ DATA(LF_HFE+6, LF_HFE+6) = Fcol(LF_HFE)(iit::rbd::AZ);
+
+ Fcol(LF_HFE) = frcTransf -> fr_LF_hipassembly_X_fr_LF_upperleg * Fcol(LF_HFE);
+ DATA(LF_HFE+6, LF_HAA+6) = F(iit::rbd::AZ,LF_HFE);
+ DATA(LF_HAA+6, LF_HFE+6) = DATA(LF_HFE+6, LF_HAA+6);
+ Fcol(LF_HFE) = frcTransf -> fr_trunk_X_fr_LF_hipassembly * Fcol(LF_HFE);
+
+ // Link LF_hipassembly:
+ iit::rbd::transformInertia<Scalar>(LF_hipassembly_Ic, frcTransf -> fr_trunk_X_fr_LF_hipassembly, Ic_spare);
+ trunk_Ic += Ic_spare;
+
+ Fcol(LF_HAA) = LF_hipassembly_Ic.col(iit::rbd::AZ);
+ DATA(LF_HAA+6, LF_HAA+6) = Fcol(LF_HAA)(iit::rbd::AZ);
+
+ Fcol(LF_HAA) = frcTransf -> fr_trunk_X_fr_LF_hipassembly * Fcol(LF_HAA);
+
+ // Copies the upper-right block into the lower-left block, after transposing
+ JSIM<TRAIT>:: template block<12, 6>(6,0) = (JSIM<TRAIT>:: template block<6, 12>(0,6)).transpose();
+ // The composite-inertia of the whole robot is the upper-left quadrant of the JSIM
+ JSIM<TRAIT>:: template block<6,6>(0,0) = trunk_Ic;
+ return *this;
+}
+
+#undef DATA
+#undef F
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::JSIM<TRAIT>::computeL() {
+ L = this -> template triangularView<Eigen::Lower>();
+ // Joint RH_KFE, index 11 :
+ L(11, 11) = std::sqrt(L(11, 11));
+ L(11, 10) = L(11, 10) / L(11, 11);
+ L(11, 9) = L(11, 9) / L(11, 11);
+ L(10, 10) = L(10, 10) - L(11, 10) * L(11, 10);
+ L(10, 9) = L(10, 9) - L(11, 10) * L(11, 9);
+ L(9, 9) = L(9, 9) - L(11, 9) * L(11, 9);
+
+ // Joint RH_HFE, index 10 :
+ L(10, 10) = std::sqrt(L(10, 10));
+ L(10, 9) = L(10, 9) / L(10, 10);
+ L(9, 9) = L(9, 9) - L(10, 9) * L(10, 9);
+
+ // Joint RH_HAA, index 9 :
+ L(9, 9) = std::sqrt(L(9, 9));
+
+ // Joint LH_KFE, index 8 :
+ L(8, 8) = std::sqrt(L(8, 8));
+ L(8, 7) = L(8, 7) / L(8, 8);
+ L(8, 6) = L(8, 6) / L(8, 8);
+ L(7, 7) = L(7, 7) - L(8, 7) * L(8, 7);
+ L(7, 6) = L(7, 6) - L(8, 7) * L(8, 6);
+ L(6, 6) = L(6, 6) - L(8, 6) * L(8, 6);
+
+ // Joint LH_HFE, index 7 :
+ L(7, 7) = std::sqrt(L(7, 7));
+ L(7, 6) = L(7, 6) / L(7, 7);
+ L(6, 6) = L(6, 6) - L(7, 6) * L(7, 6);
+
+ // Joint LH_HAA, index 6 :
+ L(6, 6) = std::sqrt(L(6, 6));
+
+ // Joint RF_KFE, index 5 :
+ L(5, 5) = std::sqrt(L(5, 5));
+ L(5, 4) = L(5, 4) / L(5, 5);
+ L(5, 3) = L(5, 3) / L(5, 5);
+ L(4, 4) = L(4, 4) - L(5, 4) * L(5, 4);
+ L(4, 3) = L(4, 3) - L(5, 4) * L(5, 3);
+ L(3, 3) = L(3, 3) - L(5, 3) * L(5, 3);
+
+ // Joint RF_HFE, index 4 :
+ L(4, 4) = std::sqrt(L(4, 4));
+ L(4, 3) = L(4, 3) / L(4, 4);
+ L(3, 3) = L(3, 3) - L(4, 3) * L(4, 3);
+
+ // Joint RF_HAA, index 3 :
+ L(3, 3) = std::sqrt(L(3, 3));
+
+ // Joint LF_KFE, index 2 :
+ L(2, 2) = std::sqrt(L(2, 2));
+ L(2, 1) = L(2, 1) / L(2, 2);
+ L(2, 0) = L(2, 0) / L(2, 2);
+ L(1, 1) = L(1, 1) - L(2, 1) * L(2, 1);
+ L(1, 0) = L(1, 0) - L(2, 1) * L(2, 0);
+ L(0, 0) = L(0, 0) - L(2, 0) * L(2, 0);
+
+ // Joint LF_HFE, index 1 :
+ L(1, 1) = std::sqrt(L(1, 1));
+ L(1, 0) = L(1, 0) / L(1, 1);
+ L(0, 0) = L(0, 0) - L(1, 0) * L(1, 0);
+
+ // Joint LF_HAA, index 0 :
+ L(0, 0) = std::sqrt(L(0, 0));
+
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::JSIM<TRAIT>::computeInverse() {
+ computeLInverse();
+
+ inverse(0, 0) = + (Linv(0, 0) * Linv(0, 0));
+ inverse(1, 1) = + (Linv(1, 0) * Linv(1, 0)) + (Linv(1, 1) * Linv(1, 1));
+ inverse(1, 0) = + (Linv(1, 0) * Linv(0, 0));
+ inverse(0, 1) = inverse(1, 0);
+ inverse(2, 2) = + (Linv(2, 0) * Linv(2, 0)) + (Linv(2, 1) * Linv(2, 1)) + (Linv(2, 2) * Linv(2, 2));
+ inverse(2, 1) = + (Linv(2, 0) * Linv(1, 0)) + (Linv(2, 1) * Linv(1, 1));
+ inverse(1, 2) = inverse(2, 1);
+ inverse(2, 0) = + (Linv(2, 0) * Linv(0, 0));
+ inverse(0, 2) = inverse(2, 0);
+ inverse(3, 3) = + (Linv(3, 3) * Linv(3, 3));
+ inverse(4, 4) = + (Linv(4, 3) * Linv(4, 3)) + (Linv(4, 4) * Linv(4, 4));
+ inverse(4, 3) = + (Linv(4, 3) * Linv(3, 3));
+ inverse(3, 4) = inverse(4, 3);
+ inverse(5, 5) = + (Linv(5, 3) * Linv(5, 3)) + (Linv(5, 4) * Linv(5, 4)) + (Linv(5, 5) * Linv(5, 5));
+ inverse(5, 4) = + (Linv(5, 3) * Linv(4, 3)) + (Linv(5, 4) * Linv(4, 4));
+ inverse(4, 5) = inverse(5, 4);
+ inverse(5, 3) = + (Linv(5, 3) * Linv(3, 3));
+ inverse(3, 5) = inverse(5, 3);
+ inverse(6, 6) = + (Linv(6, 6) * Linv(6, 6));
+ inverse(7, 7) = + (Linv(7, 6) * Linv(7, 6)) + (Linv(7, 7) * Linv(7, 7));
+ inverse(7, 6) = + (Linv(7, 6) * Linv(6, 6));
+ inverse(6, 7) = inverse(7, 6);
+ inverse(8, 8) = + (Linv(8, 6) * Linv(8, 6)) + (Linv(8, 7) * Linv(8, 7)) + (Linv(8, 8) * Linv(8, 8));
+ inverse(8, 7) = + (Linv(8, 6) * Linv(7, 6)) + (Linv(8, 7) * Linv(7, 7));
+ inverse(7, 8) = inverse(8, 7);
+ inverse(8, 6) = + (Linv(8, 6) * Linv(6, 6));
+ inverse(6, 8) = inverse(8, 6);
+ inverse(9, 9) = + (Linv(9, 9) * Linv(9, 9));
+ inverse(10, 10) = + (Linv(10, 9) * Linv(10, 9)) + (Linv(10, 10) * Linv(10, 10));
+ inverse(10, 9) = + (Linv(10, 9) * Linv(9, 9));
+ inverse(9, 10) = inverse(10, 9);
+ inverse(11, 11) = + (Linv(11, 9) * Linv(11, 9)) + (Linv(11, 10) * Linv(11, 10)) + (Linv(11, 11) * Linv(11, 11));
+ inverse(11, 10) = + (Linv(11, 9) * Linv(10, 9)) + (Linv(11, 10) * Linv(10, 10));
+ inverse(10, 11) = inverse(11, 10);
+ inverse(11, 9) = + (Linv(11, 9) * Linv(9, 9));
+ inverse(9, 11) = inverse(11, 9);
+}
+
+template <typename TRAIT>
+void iit::HyQ::dyn::tpl::JSIM<TRAIT>::computeLInverse() {
+ //assumes L has been computed already
+ Linv(0, 0) = 1 / L(0, 0);
+ Linv(1, 1) = 1 / L(1, 1);
+ Linv(2, 2) = 1 / L(2, 2);
+ Linv(3, 3) = 1 / L(3, 3);
+ Linv(4, 4) = 1 / L(4, 4);
+ Linv(5, 5) = 1 / L(5, 5);
+ Linv(6, 6) = 1 / L(6, 6);
+ Linv(7, 7) = 1 / L(7, 7);
+ Linv(8, 8) = 1 / L(8, 8);
+ Linv(9, 9) = 1 / L(9, 9);
+ Linv(10, 10) = 1 / L(10, 10);
+ Linv(11, 11) = 1 / L(11, 11);
+ Linv(1, 0) = - Linv(0, 0) * ((Linv(1, 1) * L(1, 0)) + 0);
+ Linv(2, 1) = - Linv(1, 1) * ((Linv(2, 2) * L(2, 1)) + 0);
+ Linv(2, 0) = - Linv(0, 0) * ((Linv(2, 1) * L(1, 0)) + (Linv(2, 2) * L(2, 0)) + 0);
+ Linv(4, 3) = - Linv(3, 3) * ((Linv(4, 4) * L(4, 3)) + 0);
+ Linv(5, 4) = - Linv(4, 4) * ((Linv(5, 5) * L(5, 4)) + 0);
+ Linv(5, 3) = - Linv(3, 3) * ((Linv(5, 4) * L(4, 3)) + (Linv(5, 5) * L(5, 3)) + 0);
+ Linv(7, 6) = - Linv(6, 6) * ((Linv(7, 7) * L(7, 6)) + 0);
+ Linv(8, 7) = - Linv(7, 7) * ((Linv(8, 8) * L(8, 7)) + 0);
+ Linv(8, 6) = - Linv(6, 6) * ((Linv(8, 7) * L(7, 6)) + (Linv(8, 8) * L(8, 6)) + 0);
+ Linv(10, 9) = - Linv(9, 9) * ((Linv(10, 10) * L(10, 9)) + 0);
+ Linv(11, 10) = - Linv(10, 10) * ((Linv(11, 11) * L(11, 10)) + 0);
+ Linv(11, 9) = - Linv(9, 9) * ((Linv(11, 10) * L(10, 9)) + (Linv(11, 11) * L(11, 9)) + 0);
+}
+
diff --git a/ct_models/include/ct/models/HyQ/generated/kinematics_parameters.h b/ct_models/include/ct/models/HyQ/generated/kinematics_parameters.h
new file mode 100644
index 0000000..55de20a
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/kinematics_parameters.h
@@ -0,0 +1,11 @@
+#ifndef _HYQ_PARAMETERS_GETTERS_
+#define _HYQ_PARAMETERS_GETTERS_
+
+namespace iit {
+namespace HyQ {
+
+
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/link_data_map.h b/ct_models/include/ct/models/HyQ/generated/link_data_map.h
new file mode 100644
index 0000000..a123317
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/link_data_map.h
@@ -0,0 +1,136 @@
+#ifndef IIT_HYQ_LINK_DATA_MAP_H_
+#define IIT_HYQ_LINK_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace HyQ {
+
+/**
+ * A very simple container to associate a generic data item to each link
+ */
+template<typename T> class LinkDataMap {
+private:
+ T data[linksCount];
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ LinkDataMap() {};
+ LinkDataMap(const T& defaultValue);
+ LinkDataMap(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const T& rhs);
+ T& operator[](LinkIdentifiers which);
+ const T& operator[](LinkIdentifiers which) const;
+private:
+ void copydata(const LinkDataMap& rhs);
+ void assigndata(const T& commonValue);
+};
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const LinkDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const LinkDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& LinkDataMap<T>::operator[](LinkIdentifiers l) {
+ return data[l];
+}
+
+template<typename T> inline
+const T& LinkDataMap<T>::operator[](LinkIdentifiers l) const {
+ return data[l];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::copydata(const LinkDataMap& rhs) {
+ data[TRUNK] = rhs[TRUNK];
+ data[LF_HIPASSEMBLY] = rhs[LF_HIPASSEMBLY];
+ data[LF_UPPERLEG] = rhs[LF_UPPERLEG];
+ data[LF_LOWERLEG] = rhs[LF_LOWERLEG];
+ data[RF_HIPASSEMBLY] = rhs[RF_HIPASSEMBLY];
+ data[RF_UPPERLEG] = rhs[RF_UPPERLEG];
+ data[RF_LOWERLEG] = rhs[RF_LOWERLEG];
+ data[LH_HIPASSEMBLY] = rhs[LH_HIPASSEMBLY];
+ data[LH_UPPERLEG] = rhs[LH_UPPERLEG];
+ data[LH_LOWERLEG] = rhs[LH_LOWERLEG];
+ data[RH_HIPASSEMBLY] = rhs[RH_HIPASSEMBLY];
+ data[RH_UPPERLEG] = rhs[RH_UPPERLEG];
+ data[RH_LOWERLEG] = rhs[RH_LOWERLEG];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::assigndata(const T& value) {
+ data[TRUNK] = value;
+ data[LF_HIPASSEMBLY] = value;
+ data[LF_UPPERLEG] = value;
+ data[LF_LOWERLEG] = value;
+ data[RF_HIPASSEMBLY] = value;
+ data[RF_UPPERLEG] = value;
+ data[RF_LOWERLEG] = value;
+ data[LH_HIPASSEMBLY] = value;
+ data[LH_UPPERLEG] = value;
+ data[LH_LOWERLEG] = value;
+ data[RH_HIPASSEMBLY] = value;
+ data[RH_UPPERLEG] = value;
+ data[RH_LOWERLEG] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const LinkDataMap<T>& map) {
+ out
+ << " trunk = "
+ << map[TRUNK]
+ << " LF_hipassembly = "
+ << map[LF_HIPASSEMBLY]
+ << " LF_upperleg = "
+ << map[LF_UPPERLEG]
+ << " LF_lowerleg = "
+ << map[LF_LOWERLEG]
+ << " RF_hipassembly = "
+ << map[RF_HIPASSEMBLY]
+ << " RF_upperleg = "
+ << map[RF_UPPERLEG]
+ << " RF_lowerleg = "
+ << map[RF_LOWERLEG]
+ << " LH_hipassembly = "
+ << map[LH_HIPASSEMBLY]
+ << " LH_upperleg = "
+ << map[LH_UPPERLEG]
+ << " LH_lowerleg = "
+ << map[LH_LOWERLEG]
+ << " RH_hipassembly = "
+ << map[RH_HIPASSEMBLY]
+ << " RH_upperleg = "
+ << map[RH_UPPERLEG]
+ << " RH_lowerleg = "
+ << map[RH_LOWERLEG]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/miscellaneous.cpp b/ct_models/include/ct/models/HyQ/generated/miscellaneous.cpp
new file mode 100644
index 0000000..ba23b1f
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/miscellaneous.cpp
@@ -0,0 +1,95 @@
+#include <iit/rbd/utils.h>
+#include "miscellaneous.h"
+
+using namespace iit::HyQ;
+using namespace iit::HyQ::dyn;
+
+iit::rbd::Vector3d iit::HyQ::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const HomogeneousTransforms& ht)
+{
+ iit::rbd::Vector3d tmpSum(iit::rbd::Vector3d::Zero());
+
+ tmpSum += inertiaProps.getCOM_trunk() * inertiaProps.getMass_trunk();
+
+ HomogeneousTransforms::MatrixType tmpX(HomogeneousTransforms::MatrixType::Identity());
+ HomogeneousTransforms::MatrixType base_X_LF_HAA_chain;
+ HomogeneousTransforms::MatrixType base_X_RF_HAA_chain;
+ HomogeneousTransforms::MatrixType base_X_LH_HAA_chain;
+ HomogeneousTransforms::MatrixType base_X_RH_HAA_chain;
+
+
+ base_X_LF_HAA_chain = tmpX * ht.fr_trunk_X_fr_LF_hipassembly;
+ tmpSum += inertiaProps.getMass_LF_hipassembly() *
+ ( iit::rbd::Utils::transform(base_X_LF_HAA_chain, inertiaProps.getCOM_LF_hipassembly()));
+
+ base_X_LF_HAA_chain = base_X_LF_HAA_chain * ht.fr_LF_hipassembly_X_fr_LF_upperleg;
+ tmpSum += inertiaProps.getMass_LF_upperleg() *
+ ( iit::rbd::Utils::transform(base_X_LF_HAA_chain, inertiaProps.getCOM_LF_upperleg()));
+
+ base_X_LF_HAA_chain = base_X_LF_HAA_chain * ht.fr_LF_upperleg_X_fr_LF_lowerleg;
+ tmpSum += inertiaProps.getMass_LF_lowerleg() *
+ ( iit::rbd::Utils::transform(base_X_LF_HAA_chain, inertiaProps.getCOM_LF_lowerleg()));
+
+ base_X_RF_HAA_chain = tmpX * ht.fr_trunk_X_fr_RF_hipassembly;
+ tmpSum += inertiaProps.getMass_RF_hipassembly() *
+ ( iit::rbd::Utils::transform(base_X_RF_HAA_chain, inertiaProps.getCOM_RF_hipassembly()));
+
+ base_X_RF_HAA_chain = base_X_RF_HAA_chain * ht.fr_RF_hipassembly_X_fr_RF_upperleg;
+ tmpSum += inertiaProps.getMass_RF_upperleg() *
+ ( iit::rbd::Utils::transform(base_X_RF_HAA_chain, inertiaProps.getCOM_RF_upperleg()));
+
+ base_X_RF_HAA_chain = base_X_RF_HAA_chain * ht.fr_RF_upperleg_X_fr_RF_lowerleg;
+ tmpSum += inertiaProps.getMass_RF_lowerleg() *
+ ( iit::rbd::Utils::transform(base_X_RF_HAA_chain, inertiaProps.getCOM_RF_lowerleg()));
+
+ base_X_LH_HAA_chain = tmpX * ht.fr_trunk_X_fr_LH_hipassembly;
+ tmpSum += inertiaProps.getMass_LH_hipassembly() *
+ ( iit::rbd::Utils::transform(base_X_LH_HAA_chain, inertiaProps.getCOM_LH_hipassembly()));
+
+ base_X_LH_HAA_chain = base_X_LH_HAA_chain * ht.fr_LH_hipassembly_X_fr_LH_upperleg;
+ tmpSum += inertiaProps.getMass_LH_upperleg() *
+ ( iit::rbd::Utils::transform(base_X_LH_HAA_chain, inertiaProps.getCOM_LH_upperleg()));
+
+ base_X_LH_HAA_chain = base_X_LH_HAA_chain * ht.fr_LH_upperleg_X_fr_LH_lowerleg;
+ tmpSum += inertiaProps.getMass_LH_lowerleg() *
+ ( iit::rbd::Utils::transform(base_X_LH_HAA_chain, inertiaProps.getCOM_LH_lowerleg()));
+
+ base_X_RH_HAA_chain = tmpX * ht.fr_trunk_X_fr_RH_hipassembly;
+ tmpSum += inertiaProps.getMass_RH_hipassembly() *
+ ( iit::rbd::Utils::transform(base_X_RH_HAA_chain, inertiaProps.getCOM_RH_hipassembly()));
+
+ base_X_RH_HAA_chain = base_X_RH_HAA_chain * ht.fr_RH_hipassembly_X_fr_RH_upperleg;
+ tmpSum += inertiaProps.getMass_RH_upperleg() *
+ ( iit::rbd::Utils::transform(base_X_RH_HAA_chain, inertiaProps.getCOM_RH_upperleg()));
+
+ base_X_RH_HAA_chain = base_X_RH_HAA_chain * ht.fr_RH_upperleg_X_fr_RH_lowerleg;
+ tmpSum += inertiaProps.getMass_RH_lowerleg() *
+ ( iit::rbd::Utils::transform(base_X_RH_HAA_chain, inertiaProps.getCOM_RH_lowerleg()));
+
+
+ return tmpSum / inertiaProps.getTotalMass();
+}
+
+iit::rbd::Vector3d iit::HyQ::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const JointState& q,
+ HomogeneousTransforms& ht)
+{
+ // First updates the coordinate transforms that will be used by the routine
+ ht.fr_trunk_X_fr_LF_hipassembly(q);
+ ht.fr_trunk_X_fr_RF_hipassembly(q);
+ ht.fr_trunk_X_fr_LH_hipassembly(q);
+ ht.fr_trunk_X_fr_RH_hipassembly(q);
+ ht.fr_LF_hipassembly_X_fr_LF_upperleg(q);
+ ht.fr_LF_upperleg_X_fr_LF_lowerleg(q);
+ ht.fr_RF_hipassembly_X_fr_RF_upperleg(q);
+ ht.fr_RF_upperleg_X_fr_RF_lowerleg(q);
+ ht.fr_LH_hipassembly_X_fr_LH_upperleg(q);
+ ht.fr_LH_upperleg_X_fr_LH_lowerleg(q);
+ ht.fr_RH_hipassembly_X_fr_RH_upperleg(q);
+ ht.fr_RH_upperleg_X_fr_RH_lowerleg(q);
+
+ // The actual calculus
+ return getWholeBodyCOM(inertiaProps, ht);
+}
diff --git a/ct_models/include/ct/models/HyQ/generated/miscellaneous.h b/ct_models/include/ct/models/HyQ/generated/miscellaneous.h
new file mode 100644
index 0000000..d049f71
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/miscellaneous.h
@@ -0,0 +1,45 @@
+#ifndef IIT_ROBCOGEN__HYQ_MISCELLANEOUS_H_
+#define IIT_ROBCOGEN__HYQ_MISCELLANEOUS_H_
+
+#include "inertia_properties.h"
+#include "transforms.h"
+
+namespace iit {
+namespace HyQ {
+
+/** \name Center of mass calculation
+ * Computes the Center Of Mass (COM) position of the whole robot, in
+ * base coordinates.
+ *
+ * Common parameters are the inertia properties of the robot and the set
+ * of homogeneous coordinate transforms. If a joint status variable is
+ * also passed, then the transforms are updated accordingly; otherwise,
+ * they are not modified before being used.
+ */
+///@{
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const HomogeneousTransforms& transforms);
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param q the joint status vector describing the configuration of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const JointState& q,
+ HomogeneousTransforms& transforms);
+///@}
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/traits.h b/ct_models/include/ct/models/HyQ/generated/traits.h
new file mode 100644
index 0000000..d3c1310
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/traits.h
@@ -0,0 +1,66 @@
+#ifndef IIT_ROBOGEN__HYQ_TRAITS_H_
+#define IIT_ROBOGEN__HYQ_TRAITS_H_
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inverse_dynamics.h"
+#include "forward_dynamics.h"
+#include "jsim.h"
+#include "inertia_properties.h"
+#include "jacobians.h"
+#include <iit/rbd/traits/TraitSelector.h>
+
+
+namespace iit {
+namespace HyQ {
+
+namespace tpl {
+
+template <typename SCALAR>
+struct Traits {
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef SCALAR S;
+
+ typedef typename iit::rbd::tpl::TraitSelector<SCALAR>::Trait Trait;
+
+ typedef typename iit::HyQ::tpl::JointState<SCALAR> JointState;
+
+ typedef typename iit::HyQ::JointIdentifiers JointID;
+ typedef typename iit::HyQ::LinkIdentifiers LinkID;
+
+ typedef typename iit::HyQ::tpl::HomogeneousTransforms<Trait> HomogeneousTransforms;
+ typedef typename iit::HyQ::tpl::MotionTransforms<Trait> MotionTransforms;
+ typedef typename iit::HyQ::tpl::ForceTransforms<Trait> ForceTransforms;
+ typedef typename iit::HyQ::tpl::Jacobians<Trait> Jacobians;
+
+ typedef typename iit::HyQ::dyn::tpl::InertiaProperties<Trait> InertiaProperties;
+ typedef typename iit::HyQ::dyn::tpl::ForwardDynamics<Trait> FwdDynEngine;
+ typedef typename iit::HyQ::dyn::tpl::InverseDynamics<Trait> InvDynEngine;
+ typedef typename iit::HyQ::dyn::tpl::JSIM<Trait> JSIM;
+
+ static const int joints_count = iit::HyQ::jointsCount;
+ static const int links_count = iit::HyQ::linksCount;
+ static const bool floating_base = true;
+
+ static inline const JointID* orderedJointIDs();
+ static inline const LinkID* orderedLinkIDs();
+};
+
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::JointID* Traits<SCALAR>::orderedJointIDs() {
+ return iit::HyQ::orderedJointIDs;
+}
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::LinkID* Traits<SCALAR>::orderedLinkIDs() {
+ return iit::HyQ::orderedLinkIDs;
+}
+
+}
+
+typedef tpl::Traits<double> Traits;
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/transforms.h b/ct_models/include/ct/models/HyQ/generated/transforms.h
new file mode 100644
index 0000000..7359905
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/transforms.h
@@ -0,0 +1,2392 @@
+#ifndef HYQ_TRANSFORMS_H_
+#define HYQ_TRANSFORMS_H_
+
+#include <Eigen/Dense>
+#include <Eigen/StdVector>
+#include <iit/rbd/TransformsBase.h>
+#include "declarations.h"
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace HyQ {
+
+template<typename SCALAR, class M>
+class TransformMotion : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformForce : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformHomogeneous : public iit::rbd::HomogeneousTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+namespace tpl {
+
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial motion vectors.
+ */
+template <typename TRAIT>
+class MotionTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformMotion<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_trunk_X_fr_LF_hipassembly : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_hipassembly();
+ const Type_fr_trunk_X_fr_LF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_hipassembly : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_hipassembly();
+ const Type_fr_trunk_X_fr_RF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_hipassembly : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_hipassembly();
+ const Type_fr_trunk_X_fr_LH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_hipassembly : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_hipassembly();
+ const Type_fr_trunk_X_fr_RH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_upperleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_upperleg();
+ const Type_fr_trunk_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_upperleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_upperleg();
+ const Type_fr_trunk_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_upperleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_upperleg();
+ const Type_fr_trunk_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_upperleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_upperleg();
+ const Type_fr_trunk_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_lowerleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_lowerleg();
+ const Type_fr_trunk_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_lowerleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_lowerleg();
+ const Type_fr_trunk_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_lowerleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_lowerleg();
+ const Type_fr_trunk_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_lowerleg : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_lowerleg();
+ const Type_fr_trunk_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_hipassembly_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LF_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_hipassembly_X_fr_trunk();
+ const Type_fr_LF_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_hipassembly_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RF_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_hipassembly_X_fr_trunk();
+ const Type_fr_RF_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_hipassembly_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LH_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_hipassembly_X_fr_trunk();
+ const Type_fr_LH_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_hipassembly_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RH_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_hipassembly_X_fr_trunk();
+ const Type_fr_RH_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LF_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_trunk();
+ const Type_fr_LF_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RF_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_trunk();
+ const Type_fr_RF_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LH_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_trunk();
+ const Type_fr_LH_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RH_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_trunk();
+ const Type_fr_RH_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_lowerleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LF_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_lowerleg_X_fr_trunk();
+ const Type_fr_LF_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_lowerleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RF_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_lowerleg_X_fr_trunk();
+ const Type_fr_RF_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_lowerleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LH_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_lowerleg_X_fr_trunk();
+ const Type_fr_LH_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_lowerleg_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RH_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_lowerleg_X_fr_trunk();
+ const Type_fr_RH_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_hipassemblyCOM : public TransformMotion<Scalar, Type_fr_trunk_X_LF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_hipassemblyCOM();
+ const Type_fr_trunk_X_LF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_hipassemblyCOM : public TransformMotion<Scalar, Type_fr_trunk_X_RF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_hipassemblyCOM();
+ const Type_fr_trunk_X_RF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_hipassemblyCOM : public TransformMotion<Scalar, Type_fr_trunk_X_LH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_hipassemblyCOM();
+ const Type_fr_trunk_X_LH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_hipassemblyCOM : public TransformMotion<Scalar, Type_fr_trunk_X_RH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_hipassemblyCOM();
+ const Type_fr_trunk_X_RH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_upperlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_LF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_upperlegCOM();
+ const Type_fr_trunk_X_LF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_upperlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_RF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_upperlegCOM();
+ const Type_fr_trunk_X_RF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_upperlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_LH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_upperlegCOM();
+ const Type_fr_trunk_X_LH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_upperlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_RH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_upperlegCOM();
+ const Type_fr_trunk_X_RH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_lowerlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_LF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_lowerlegCOM();
+ const Type_fr_trunk_X_LF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_lowerlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_RF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_lowerlegCOM();
+ const Type_fr_trunk_X_RF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_lowerlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_LH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_lowerlegCOM();
+ const Type_fr_trunk_X_LH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_lowerlegCOM : public TransformMotion<Scalar, Type_fr_trunk_X_RH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_lowerlegCOM();
+ const Type_fr_trunk_X_RH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_foot_X_fr_LF_lowerleg : public TransformMotion<Scalar, Type_fr_LF_foot_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_foot_X_fr_LF_lowerleg();
+ const Type_fr_LF_foot_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_foot_X_fr_RF_lowerleg : public TransformMotion<Scalar, Type_fr_RF_foot_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_foot_X_fr_RF_lowerleg();
+ const Type_fr_RF_foot_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_foot_X_fr_LH_lowerleg : public TransformMotion<Scalar, Type_fr_LH_foot_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_foot_X_fr_LH_lowerleg();
+ const Type_fr_LH_foot_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_foot_X_fr_RH_lowerleg : public TransformMotion<Scalar, Type_fr_RH_foot_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_foot_X_fr_RH_lowerleg();
+ const Type_fr_RH_foot_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_foot : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_foot();
+ const Type_fr_trunk_X_fr_LF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_foot : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_foot();
+ const Type_fr_trunk_X_fr_RF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_foot : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_foot();
+ const Type_fr_trunk_X_fr_LH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_foot : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_foot();
+ const Type_fr_trunk_X_fr_RH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_foot_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LF_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_foot_X_fr_trunk();
+ const Type_fr_LF_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_foot_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RF_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_foot_X_fr_trunk();
+ const Type_fr_RF_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_foot_X_fr_trunk : public TransformMotion<Scalar, Type_fr_LH_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_foot_X_fr_trunk();
+ const Type_fr_LH_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_foot_X_fr_trunk : public TransformMotion<Scalar, Type_fr_RH_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_foot_X_fr_trunk();
+ const Type_fr_RH_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_HAA : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_HAA();
+ const Type_fr_trunk_X_fr_LF_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_HAA : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_HAA();
+ const Type_fr_trunk_X_fr_RF_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_HAA : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_HAA();
+ const Type_fr_trunk_X_fr_LH_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_HAA : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_HAA();
+ const Type_fr_trunk_X_fr_RH_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_HFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_HFE();
+ const Type_fr_trunk_X_fr_LF_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_HFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_HFE();
+ const Type_fr_trunk_X_fr_RF_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_HFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_HFE();
+ const Type_fr_trunk_X_fr_LH_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_HFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_HFE();
+ const Type_fr_trunk_X_fr_RH_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_KFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LF_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_KFE();
+ const Type_fr_trunk_X_fr_LF_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_KFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RF_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_KFE();
+ const Type_fr_trunk_X_fr_RF_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_KFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_LH_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_KFE();
+ const Type_fr_trunk_X_fr_LH_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_KFE : public TransformMotion<Scalar, Type_fr_trunk_X_fr_RH_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_KFE();
+ const Type_fr_trunk_X_fr_RH_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_LF_hipassembly : public TransformMotion<Scalar, Type_fr_LF_upperleg_X_fr_LF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_LF_hipassembly();
+ const Type_fr_LF_upperleg_X_fr_LF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_hipassembly_X_fr_LF_upperleg : public TransformMotion<Scalar, Type_fr_LF_hipassembly_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_hipassembly_X_fr_LF_upperleg();
+ const Type_fr_LF_hipassembly_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_lowerleg_X_fr_LF_upperleg : public TransformMotion<Scalar, Type_fr_LF_lowerleg_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_lowerleg_X_fr_LF_upperleg();
+ const Type_fr_LF_lowerleg_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_LF_lowerleg : public TransformMotion<Scalar, Type_fr_LF_upperleg_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_LF_lowerleg();
+ const Type_fr_LF_upperleg_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_RF_hipassembly : public TransformMotion<Scalar, Type_fr_RF_upperleg_X_fr_RF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_RF_hipassembly();
+ const Type_fr_RF_upperleg_X_fr_RF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_hipassembly_X_fr_RF_upperleg : public TransformMotion<Scalar, Type_fr_RF_hipassembly_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_hipassembly_X_fr_RF_upperleg();
+ const Type_fr_RF_hipassembly_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_lowerleg_X_fr_RF_upperleg : public TransformMotion<Scalar, Type_fr_RF_lowerleg_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_lowerleg_X_fr_RF_upperleg();
+ const Type_fr_RF_lowerleg_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_RF_lowerleg : public TransformMotion<Scalar, Type_fr_RF_upperleg_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_RF_lowerleg();
+ const Type_fr_RF_upperleg_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_LH_hipassembly : public TransformMotion<Scalar, Type_fr_LH_upperleg_X_fr_LH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_LH_hipassembly();
+ const Type_fr_LH_upperleg_X_fr_LH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_hipassembly_X_fr_LH_upperleg : public TransformMotion<Scalar, Type_fr_LH_hipassembly_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_hipassembly_X_fr_LH_upperleg();
+ const Type_fr_LH_hipassembly_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_lowerleg_X_fr_LH_upperleg : public TransformMotion<Scalar, Type_fr_LH_lowerleg_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_lowerleg_X_fr_LH_upperleg();
+ const Type_fr_LH_lowerleg_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_LH_lowerleg : public TransformMotion<Scalar, Type_fr_LH_upperleg_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_LH_lowerleg();
+ const Type_fr_LH_upperleg_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_RH_hipassembly : public TransformMotion<Scalar, Type_fr_RH_upperleg_X_fr_RH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_RH_hipassembly();
+ const Type_fr_RH_upperleg_X_fr_RH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_hipassembly_X_fr_RH_upperleg : public TransformMotion<Scalar, Type_fr_RH_hipassembly_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_hipassembly_X_fr_RH_upperleg();
+ const Type_fr_RH_hipassembly_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_lowerleg_X_fr_RH_upperleg : public TransformMotion<Scalar, Type_fr_RH_lowerleg_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_lowerleg_X_fr_RH_upperleg();
+ const Type_fr_RH_lowerleg_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_RH_lowerleg : public TransformMotion<Scalar, Type_fr_RH_upperleg_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_RH_lowerleg();
+ const Type_fr_RH_upperleg_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+public:
+ MotionTransforms();
+ void updateParameters();
+ Type_fr_trunk_X_fr_LF_hipassembly fr_trunk_X_fr_LF_hipassembly;
+ Type_fr_trunk_X_fr_RF_hipassembly fr_trunk_X_fr_RF_hipassembly;
+ Type_fr_trunk_X_fr_LH_hipassembly fr_trunk_X_fr_LH_hipassembly;
+ Type_fr_trunk_X_fr_RH_hipassembly fr_trunk_X_fr_RH_hipassembly;
+ Type_fr_trunk_X_fr_LF_upperleg fr_trunk_X_fr_LF_upperleg;
+ Type_fr_trunk_X_fr_RF_upperleg fr_trunk_X_fr_RF_upperleg;
+ Type_fr_trunk_X_fr_LH_upperleg fr_trunk_X_fr_LH_upperleg;
+ Type_fr_trunk_X_fr_RH_upperleg fr_trunk_X_fr_RH_upperleg;
+ Type_fr_trunk_X_fr_LF_lowerleg fr_trunk_X_fr_LF_lowerleg;
+ Type_fr_trunk_X_fr_RF_lowerleg fr_trunk_X_fr_RF_lowerleg;
+ Type_fr_trunk_X_fr_LH_lowerleg fr_trunk_X_fr_LH_lowerleg;
+ Type_fr_trunk_X_fr_RH_lowerleg fr_trunk_X_fr_RH_lowerleg;
+ Type_fr_LF_hipassembly_X_fr_trunk fr_LF_hipassembly_X_fr_trunk;
+ Type_fr_RF_hipassembly_X_fr_trunk fr_RF_hipassembly_X_fr_trunk;
+ Type_fr_LH_hipassembly_X_fr_trunk fr_LH_hipassembly_X_fr_trunk;
+ Type_fr_RH_hipassembly_X_fr_trunk fr_RH_hipassembly_X_fr_trunk;
+ Type_fr_LF_upperleg_X_fr_trunk fr_LF_upperleg_X_fr_trunk;
+ Type_fr_RF_upperleg_X_fr_trunk fr_RF_upperleg_X_fr_trunk;
+ Type_fr_LH_upperleg_X_fr_trunk fr_LH_upperleg_X_fr_trunk;
+ Type_fr_RH_upperleg_X_fr_trunk fr_RH_upperleg_X_fr_trunk;
+ Type_fr_LF_lowerleg_X_fr_trunk fr_LF_lowerleg_X_fr_trunk;
+ Type_fr_RF_lowerleg_X_fr_trunk fr_RF_lowerleg_X_fr_trunk;
+ Type_fr_LH_lowerleg_X_fr_trunk fr_LH_lowerleg_X_fr_trunk;
+ Type_fr_RH_lowerleg_X_fr_trunk fr_RH_lowerleg_X_fr_trunk;
+ Type_fr_trunk_X_LF_hipassemblyCOM fr_trunk_X_LF_hipassemblyCOM;
+ Type_fr_trunk_X_RF_hipassemblyCOM fr_trunk_X_RF_hipassemblyCOM;
+ Type_fr_trunk_X_LH_hipassemblyCOM fr_trunk_X_LH_hipassemblyCOM;
+ Type_fr_trunk_X_RH_hipassemblyCOM fr_trunk_X_RH_hipassemblyCOM;
+ Type_fr_trunk_X_LF_upperlegCOM fr_trunk_X_LF_upperlegCOM;
+ Type_fr_trunk_X_RF_upperlegCOM fr_trunk_X_RF_upperlegCOM;
+ Type_fr_trunk_X_LH_upperlegCOM fr_trunk_X_LH_upperlegCOM;
+ Type_fr_trunk_X_RH_upperlegCOM fr_trunk_X_RH_upperlegCOM;
+ Type_fr_trunk_X_LF_lowerlegCOM fr_trunk_X_LF_lowerlegCOM;
+ Type_fr_trunk_X_RF_lowerlegCOM fr_trunk_X_RF_lowerlegCOM;
+ Type_fr_trunk_X_LH_lowerlegCOM fr_trunk_X_LH_lowerlegCOM;
+ Type_fr_trunk_X_RH_lowerlegCOM fr_trunk_X_RH_lowerlegCOM;
+ Type_fr_LF_foot_X_fr_LF_lowerleg fr_LF_foot_X_fr_LF_lowerleg;
+ Type_fr_RF_foot_X_fr_RF_lowerleg fr_RF_foot_X_fr_RF_lowerleg;
+ Type_fr_LH_foot_X_fr_LH_lowerleg fr_LH_foot_X_fr_LH_lowerleg;
+ Type_fr_RH_foot_X_fr_RH_lowerleg fr_RH_foot_X_fr_RH_lowerleg;
+ Type_fr_trunk_X_fr_LF_foot fr_trunk_X_fr_LF_foot;
+ Type_fr_trunk_X_fr_RF_foot fr_trunk_X_fr_RF_foot;
+ Type_fr_trunk_X_fr_LH_foot fr_trunk_X_fr_LH_foot;
+ Type_fr_trunk_X_fr_RH_foot fr_trunk_X_fr_RH_foot;
+ Type_fr_LF_foot_X_fr_trunk fr_LF_foot_X_fr_trunk;
+ Type_fr_RF_foot_X_fr_trunk fr_RF_foot_X_fr_trunk;
+ Type_fr_LH_foot_X_fr_trunk fr_LH_foot_X_fr_trunk;
+ Type_fr_RH_foot_X_fr_trunk fr_RH_foot_X_fr_trunk;
+ Type_fr_trunk_X_fr_LF_HAA fr_trunk_X_fr_LF_HAA;
+ Type_fr_trunk_X_fr_RF_HAA fr_trunk_X_fr_RF_HAA;
+ Type_fr_trunk_X_fr_LH_HAA fr_trunk_X_fr_LH_HAA;
+ Type_fr_trunk_X_fr_RH_HAA fr_trunk_X_fr_RH_HAA;
+ Type_fr_trunk_X_fr_LF_HFE fr_trunk_X_fr_LF_HFE;
+ Type_fr_trunk_X_fr_RF_HFE fr_trunk_X_fr_RF_HFE;
+ Type_fr_trunk_X_fr_LH_HFE fr_trunk_X_fr_LH_HFE;
+ Type_fr_trunk_X_fr_RH_HFE fr_trunk_X_fr_RH_HFE;
+ Type_fr_trunk_X_fr_LF_KFE fr_trunk_X_fr_LF_KFE;
+ Type_fr_trunk_X_fr_RF_KFE fr_trunk_X_fr_RF_KFE;
+ Type_fr_trunk_X_fr_LH_KFE fr_trunk_X_fr_LH_KFE;
+ Type_fr_trunk_X_fr_RH_KFE fr_trunk_X_fr_RH_KFE;
+ Type_fr_LF_upperleg_X_fr_LF_hipassembly fr_LF_upperleg_X_fr_LF_hipassembly;
+ Type_fr_LF_hipassembly_X_fr_LF_upperleg fr_LF_hipassembly_X_fr_LF_upperleg;
+ Type_fr_LF_lowerleg_X_fr_LF_upperleg fr_LF_lowerleg_X_fr_LF_upperleg;
+ Type_fr_LF_upperleg_X_fr_LF_lowerleg fr_LF_upperleg_X_fr_LF_lowerleg;
+ Type_fr_RF_upperleg_X_fr_RF_hipassembly fr_RF_upperleg_X_fr_RF_hipassembly;
+ Type_fr_RF_hipassembly_X_fr_RF_upperleg fr_RF_hipassembly_X_fr_RF_upperleg;
+ Type_fr_RF_lowerleg_X_fr_RF_upperleg fr_RF_lowerleg_X_fr_RF_upperleg;
+ Type_fr_RF_upperleg_X_fr_RF_lowerleg fr_RF_upperleg_X_fr_RF_lowerleg;
+ Type_fr_LH_upperleg_X_fr_LH_hipassembly fr_LH_upperleg_X_fr_LH_hipassembly;
+ Type_fr_LH_hipassembly_X_fr_LH_upperleg fr_LH_hipassembly_X_fr_LH_upperleg;
+ Type_fr_LH_lowerleg_X_fr_LH_upperleg fr_LH_lowerleg_X_fr_LH_upperleg;
+ Type_fr_LH_upperleg_X_fr_LH_lowerleg fr_LH_upperleg_X_fr_LH_lowerleg;
+ Type_fr_RH_upperleg_X_fr_RH_hipassembly fr_RH_upperleg_X_fr_RH_hipassembly;
+ Type_fr_RH_hipassembly_X_fr_RH_upperleg fr_RH_hipassembly_X_fr_RH_upperleg;
+ Type_fr_RH_lowerleg_X_fr_RH_upperleg fr_RH_lowerleg_X_fr_RH_upperleg;
+ Type_fr_RH_upperleg_X_fr_RH_lowerleg fr_RH_upperleg_X_fr_RH_lowerleg;
+
+protected:
+
+}; //class 'MotionTransforms'
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial force vectors.
+ */
+template <typename TRAIT>
+class ForceTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformForce<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_trunk_X_fr_LF_hipassembly : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_hipassembly();
+ const Type_fr_trunk_X_fr_LF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_hipassembly : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_hipassembly();
+ const Type_fr_trunk_X_fr_RF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_hipassembly : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_hipassembly();
+ const Type_fr_trunk_X_fr_LH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_hipassembly : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_hipassembly();
+ const Type_fr_trunk_X_fr_RH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_upperleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_upperleg();
+ const Type_fr_trunk_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_upperleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_upperleg();
+ const Type_fr_trunk_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_upperleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_upperleg();
+ const Type_fr_trunk_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_upperleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_upperleg();
+ const Type_fr_trunk_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_lowerleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_lowerleg();
+ const Type_fr_trunk_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_lowerleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_lowerleg();
+ const Type_fr_trunk_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_lowerleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_lowerleg();
+ const Type_fr_trunk_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_lowerleg : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_lowerleg();
+ const Type_fr_trunk_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_hipassembly_X_fr_trunk : public TransformForce<Scalar, Type_fr_LF_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_hipassembly_X_fr_trunk();
+ const Type_fr_LF_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_hipassembly_X_fr_trunk : public TransformForce<Scalar, Type_fr_RF_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_hipassembly_X_fr_trunk();
+ const Type_fr_RF_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_hipassembly_X_fr_trunk : public TransformForce<Scalar, Type_fr_LH_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_hipassembly_X_fr_trunk();
+ const Type_fr_LH_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_hipassembly_X_fr_trunk : public TransformForce<Scalar, Type_fr_RH_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_hipassembly_X_fr_trunk();
+ const Type_fr_RH_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_LF_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_trunk();
+ const Type_fr_LF_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_RF_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_trunk();
+ const Type_fr_RF_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_LH_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_trunk();
+ const Type_fr_LH_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_RH_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_trunk();
+ const Type_fr_RH_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_lowerleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_LF_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_lowerleg_X_fr_trunk();
+ const Type_fr_LF_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_lowerleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_RF_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_lowerleg_X_fr_trunk();
+ const Type_fr_RF_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_lowerleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_LH_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_lowerleg_X_fr_trunk();
+ const Type_fr_LH_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_lowerleg_X_fr_trunk : public TransformForce<Scalar, Type_fr_RH_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_lowerleg_X_fr_trunk();
+ const Type_fr_RH_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_hipassemblyCOM : public TransformForce<Scalar, Type_fr_trunk_X_LF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_hipassemblyCOM();
+ const Type_fr_trunk_X_LF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_hipassemblyCOM : public TransformForce<Scalar, Type_fr_trunk_X_RF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_hipassemblyCOM();
+ const Type_fr_trunk_X_RF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_hipassemblyCOM : public TransformForce<Scalar, Type_fr_trunk_X_LH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_hipassemblyCOM();
+ const Type_fr_trunk_X_LH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_hipassemblyCOM : public TransformForce<Scalar, Type_fr_trunk_X_RH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_hipassemblyCOM();
+ const Type_fr_trunk_X_RH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_upperlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_LF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_upperlegCOM();
+ const Type_fr_trunk_X_LF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_upperlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_RF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_upperlegCOM();
+ const Type_fr_trunk_X_RF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_upperlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_LH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_upperlegCOM();
+ const Type_fr_trunk_X_LH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_upperlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_RH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_upperlegCOM();
+ const Type_fr_trunk_X_RH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_lowerlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_LF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_lowerlegCOM();
+ const Type_fr_trunk_X_LF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_lowerlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_RF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_lowerlegCOM();
+ const Type_fr_trunk_X_RF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_lowerlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_LH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_lowerlegCOM();
+ const Type_fr_trunk_X_LH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_lowerlegCOM : public TransformForce<Scalar, Type_fr_trunk_X_RH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_lowerlegCOM();
+ const Type_fr_trunk_X_RH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_foot_X_fr_LF_lowerleg : public TransformForce<Scalar, Type_fr_LF_foot_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_foot_X_fr_LF_lowerleg();
+ const Type_fr_LF_foot_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_foot_X_fr_RF_lowerleg : public TransformForce<Scalar, Type_fr_RF_foot_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_foot_X_fr_RF_lowerleg();
+ const Type_fr_RF_foot_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_foot_X_fr_LH_lowerleg : public TransformForce<Scalar, Type_fr_LH_foot_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_foot_X_fr_LH_lowerleg();
+ const Type_fr_LH_foot_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_foot_X_fr_RH_lowerleg : public TransformForce<Scalar, Type_fr_RH_foot_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_foot_X_fr_RH_lowerleg();
+ const Type_fr_RH_foot_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_foot : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_foot();
+ const Type_fr_trunk_X_fr_LF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_foot : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_foot();
+ const Type_fr_trunk_X_fr_RF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_foot : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_foot();
+ const Type_fr_trunk_X_fr_LH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_foot : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_foot();
+ const Type_fr_trunk_X_fr_RH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_foot_X_fr_trunk : public TransformForce<Scalar, Type_fr_LF_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_foot_X_fr_trunk();
+ const Type_fr_LF_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_foot_X_fr_trunk : public TransformForce<Scalar, Type_fr_RF_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_foot_X_fr_trunk();
+ const Type_fr_RF_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_foot_X_fr_trunk : public TransformForce<Scalar, Type_fr_LH_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_foot_X_fr_trunk();
+ const Type_fr_LH_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_foot_X_fr_trunk : public TransformForce<Scalar, Type_fr_RH_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_foot_X_fr_trunk();
+ const Type_fr_RH_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_HAA : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_HAA();
+ const Type_fr_trunk_X_fr_LF_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_HAA : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_HAA();
+ const Type_fr_trunk_X_fr_RF_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_HAA : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_HAA();
+ const Type_fr_trunk_X_fr_LH_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_HAA : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_HAA();
+ const Type_fr_trunk_X_fr_RH_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_HFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_HFE();
+ const Type_fr_trunk_X_fr_LF_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_HFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_HFE();
+ const Type_fr_trunk_X_fr_RF_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_HFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_HFE();
+ const Type_fr_trunk_X_fr_LH_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_HFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_HFE();
+ const Type_fr_trunk_X_fr_RH_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_KFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_LF_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_KFE();
+ const Type_fr_trunk_X_fr_LF_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_KFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_RF_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_KFE();
+ const Type_fr_trunk_X_fr_RF_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_KFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_LH_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_KFE();
+ const Type_fr_trunk_X_fr_LH_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_KFE : public TransformForce<Scalar, Type_fr_trunk_X_fr_RH_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_KFE();
+ const Type_fr_trunk_X_fr_RH_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_LF_hipassembly : public TransformForce<Scalar, Type_fr_LF_upperleg_X_fr_LF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_LF_hipassembly();
+ const Type_fr_LF_upperleg_X_fr_LF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_hipassembly_X_fr_LF_upperleg : public TransformForce<Scalar, Type_fr_LF_hipassembly_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_hipassembly_X_fr_LF_upperleg();
+ const Type_fr_LF_hipassembly_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_lowerleg_X_fr_LF_upperleg : public TransformForce<Scalar, Type_fr_LF_lowerleg_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_lowerleg_X_fr_LF_upperleg();
+ const Type_fr_LF_lowerleg_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_LF_lowerleg : public TransformForce<Scalar, Type_fr_LF_upperleg_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_LF_lowerleg();
+ const Type_fr_LF_upperleg_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_RF_hipassembly : public TransformForce<Scalar, Type_fr_RF_upperleg_X_fr_RF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_RF_hipassembly();
+ const Type_fr_RF_upperleg_X_fr_RF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_hipassembly_X_fr_RF_upperleg : public TransformForce<Scalar, Type_fr_RF_hipassembly_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_hipassembly_X_fr_RF_upperleg();
+ const Type_fr_RF_hipassembly_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_lowerleg_X_fr_RF_upperleg : public TransformForce<Scalar, Type_fr_RF_lowerleg_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_lowerleg_X_fr_RF_upperleg();
+ const Type_fr_RF_lowerleg_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_RF_lowerleg : public TransformForce<Scalar, Type_fr_RF_upperleg_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_RF_lowerleg();
+ const Type_fr_RF_upperleg_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_LH_hipassembly : public TransformForce<Scalar, Type_fr_LH_upperleg_X_fr_LH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_LH_hipassembly();
+ const Type_fr_LH_upperleg_X_fr_LH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_hipassembly_X_fr_LH_upperleg : public TransformForce<Scalar, Type_fr_LH_hipassembly_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_hipassembly_X_fr_LH_upperleg();
+ const Type_fr_LH_hipassembly_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_lowerleg_X_fr_LH_upperleg : public TransformForce<Scalar, Type_fr_LH_lowerleg_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_lowerleg_X_fr_LH_upperleg();
+ const Type_fr_LH_lowerleg_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_LH_lowerleg : public TransformForce<Scalar, Type_fr_LH_upperleg_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_LH_lowerleg();
+ const Type_fr_LH_upperleg_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_RH_hipassembly : public TransformForce<Scalar, Type_fr_RH_upperleg_X_fr_RH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_RH_hipassembly();
+ const Type_fr_RH_upperleg_X_fr_RH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_hipassembly_X_fr_RH_upperleg : public TransformForce<Scalar, Type_fr_RH_hipassembly_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_hipassembly_X_fr_RH_upperleg();
+ const Type_fr_RH_hipassembly_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_lowerleg_X_fr_RH_upperleg : public TransformForce<Scalar, Type_fr_RH_lowerleg_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_lowerleg_X_fr_RH_upperleg();
+ const Type_fr_RH_lowerleg_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_RH_lowerleg : public TransformForce<Scalar, Type_fr_RH_upperleg_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_RH_lowerleg();
+ const Type_fr_RH_upperleg_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+public:
+ ForceTransforms();
+ void updateParameters();
+ Type_fr_trunk_X_fr_LF_hipassembly fr_trunk_X_fr_LF_hipassembly;
+ Type_fr_trunk_X_fr_RF_hipassembly fr_trunk_X_fr_RF_hipassembly;
+ Type_fr_trunk_X_fr_LH_hipassembly fr_trunk_X_fr_LH_hipassembly;
+ Type_fr_trunk_X_fr_RH_hipassembly fr_trunk_X_fr_RH_hipassembly;
+ Type_fr_trunk_X_fr_LF_upperleg fr_trunk_X_fr_LF_upperleg;
+ Type_fr_trunk_X_fr_RF_upperleg fr_trunk_X_fr_RF_upperleg;
+ Type_fr_trunk_X_fr_LH_upperleg fr_trunk_X_fr_LH_upperleg;
+ Type_fr_trunk_X_fr_RH_upperleg fr_trunk_X_fr_RH_upperleg;
+ Type_fr_trunk_X_fr_LF_lowerleg fr_trunk_X_fr_LF_lowerleg;
+ Type_fr_trunk_X_fr_RF_lowerleg fr_trunk_X_fr_RF_lowerleg;
+ Type_fr_trunk_X_fr_LH_lowerleg fr_trunk_X_fr_LH_lowerleg;
+ Type_fr_trunk_X_fr_RH_lowerleg fr_trunk_X_fr_RH_lowerleg;
+ Type_fr_LF_hipassembly_X_fr_trunk fr_LF_hipassembly_X_fr_trunk;
+ Type_fr_RF_hipassembly_X_fr_trunk fr_RF_hipassembly_X_fr_trunk;
+ Type_fr_LH_hipassembly_X_fr_trunk fr_LH_hipassembly_X_fr_trunk;
+ Type_fr_RH_hipassembly_X_fr_trunk fr_RH_hipassembly_X_fr_trunk;
+ Type_fr_LF_upperleg_X_fr_trunk fr_LF_upperleg_X_fr_trunk;
+ Type_fr_RF_upperleg_X_fr_trunk fr_RF_upperleg_X_fr_trunk;
+ Type_fr_LH_upperleg_X_fr_trunk fr_LH_upperleg_X_fr_trunk;
+ Type_fr_RH_upperleg_X_fr_trunk fr_RH_upperleg_X_fr_trunk;
+ Type_fr_LF_lowerleg_X_fr_trunk fr_LF_lowerleg_X_fr_trunk;
+ Type_fr_RF_lowerleg_X_fr_trunk fr_RF_lowerleg_X_fr_trunk;
+ Type_fr_LH_lowerleg_X_fr_trunk fr_LH_lowerleg_X_fr_trunk;
+ Type_fr_RH_lowerleg_X_fr_trunk fr_RH_lowerleg_X_fr_trunk;
+ Type_fr_trunk_X_LF_hipassemblyCOM fr_trunk_X_LF_hipassemblyCOM;
+ Type_fr_trunk_X_RF_hipassemblyCOM fr_trunk_X_RF_hipassemblyCOM;
+ Type_fr_trunk_X_LH_hipassemblyCOM fr_trunk_X_LH_hipassemblyCOM;
+ Type_fr_trunk_X_RH_hipassemblyCOM fr_trunk_X_RH_hipassemblyCOM;
+ Type_fr_trunk_X_LF_upperlegCOM fr_trunk_X_LF_upperlegCOM;
+ Type_fr_trunk_X_RF_upperlegCOM fr_trunk_X_RF_upperlegCOM;
+ Type_fr_trunk_X_LH_upperlegCOM fr_trunk_X_LH_upperlegCOM;
+ Type_fr_trunk_X_RH_upperlegCOM fr_trunk_X_RH_upperlegCOM;
+ Type_fr_trunk_X_LF_lowerlegCOM fr_trunk_X_LF_lowerlegCOM;
+ Type_fr_trunk_X_RF_lowerlegCOM fr_trunk_X_RF_lowerlegCOM;
+ Type_fr_trunk_X_LH_lowerlegCOM fr_trunk_X_LH_lowerlegCOM;
+ Type_fr_trunk_X_RH_lowerlegCOM fr_trunk_X_RH_lowerlegCOM;
+ Type_fr_LF_foot_X_fr_LF_lowerleg fr_LF_foot_X_fr_LF_lowerleg;
+ Type_fr_RF_foot_X_fr_RF_lowerleg fr_RF_foot_X_fr_RF_lowerleg;
+ Type_fr_LH_foot_X_fr_LH_lowerleg fr_LH_foot_X_fr_LH_lowerleg;
+ Type_fr_RH_foot_X_fr_RH_lowerleg fr_RH_foot_X_fr_RH_lowerleg;
+ Type_fr_trunk_X_fr_LF_foot fr_trunk_X_fr_LF_foot;
+ Type_fr_trunk_X_fr_RF_foot fr_trunk_X_fr_RF_foot;
+ Type_fr_trunk_X_fr_LH_foot fr_trunk_X_fr_LH_foot;
+ Type_fr_trunk_X_fr_RH_foot fr_trunk_X_fr_RH_foot;
+ Type_fr_LF_foot_X_fr_trunk fr_LF_foot_X_fr_trunk;
+ Type_fr_RF_foot_X_fr_trunk fr_RF_foot_X_fr_trunk;
+ Type_fr_LH_foot_X_fr_trunk fr_LH_foot_X_fr_trunk;
+ Type_fr_RH_foot_X_fr_trunk fr_RH_foot_X_fr_trunk;
+ Type_fr_trunk_X_fr_LF_HAA fr_trunk_X_fr_LF_HAA;
+ Type_fr_trunk_X_fr_RF_HAA fr_trunk_X_fr_RF_HAA;
+ Type_fr_trunk_X_fr_LH_HAA fr_trunk_X_fr_LH_HAA;
+ Type_fr_trunk_X_fr_RH_HAA fr_trunk_X_fr_RH_HAA;
+ Type_fr_trunk_X_fr_LF_HFE fr_trunk_X_fr_LF_HFE;
+ Type_fr_trunk_X_fr_RF_HFE fr_trunk_X_fr_RF_HFE;
+ Type_fr_trunk_X_fr_LH_HFE fr_trunk_X_fr_LH_HFE;
+ Type_fr_trunk_X_fr_RH_HFE fr_trunk_X_fr_RH_HFE;
+ Type_fr_trunk_X_fr_LF_KFE fr_trunk_X_fr_LF_KFE;
+ Type_fr_trunk_X_fr_RF_KFE fr_trunk_X_fr_RF_KFE;
+ Type_fr_trunk_X_fr_LH_KFE fr_trunk_X_fr_LH_KFE;
+ Type_fr_trunk_X_fr_RH_KFE fr_trunk_X_fr_RH_KFE;
+ Type_fr_LF_upperleg_X_fr_LF_hipassembly fr_LF_upperleg_X_fr_LF_hipassembly;
+ Type_fr_LF_hipassembly_X_fr_LF_upperleg fr_LF_hipassembly_X_fr_LF_upperleg;
+ Type_fr_LF_lowerleg_X_fr_LF_upperleg fr_LF_lowerleg_X_fr_LF_upperleg;
+ Type_fr_LF_upperleg_X_fr_LF_lowerleg fr_LF_upperleg_X_fr_LF_lowerleg;
+ Type_fr_RF_upperleg_X_fr_RF_hipassembly fr_RF_upperleg_X_fr_RF_hipassembly;
+ Type_fr_RF_hipassembly_X_fr_RF_upperleg fr_RF_hipassembly_X_fr_RF_upperleg;
+ Type_fr_RF_lowerleg_X_fr_RF_upperleg fr_RF_lowerleg_X_fr_RF_upperleg;
+ Type_fr_RF_upperleg_X_fr_RF_lowerleg fr_RF_upperleg_X_fr_RF_lowerleg;
+ Type_fr_LH_upperleg_X_fr_LH_hipassembly fr_LH_upperleg_X_fr_LH_hipassembly;
+ Type_fr_LH_hipassembly_X_fr_LH_upperleg fr_LH_hipassembly_X_fr_LH_upperleg;
+ Type_fr_LH_lowerleg_X_fr_LH_upperleg fr_LH_lowerleg_X_fr_LH_upperleg;
+ Type_fr_LH_upperleg_X_fr_LH_lowerleg fr_LH_upperleg_X_fr_LH_lowerleg;
+ Type_fr_RH_upperleg_X_fr_RH_hipassembly fr_RH_upperleg_X_fr_RH_hipassembly;
+ Type_fr_RH_hipassembly_X_fr_RH_upperleg fr_RH_hipassembly_X_fr_RH_upperleg;
+ Type_fr_RH_lowerleg_X_fr_RH_upperleg fr_RH_lowerleg_X_fr_RH_upperleg;
+ Type_fr_RH_upperleg_X_fr_RH_lowerleg fr_RH_upperleg_X_fr_RH_lowerleg;
+
+protected:
+
+}; //class 'ForceTransforms'
+
+/**
+ * The class with the homogeneous (4x4) coordinates transformation
+ * matrices.
+ */
+template <typename TRAIT>
+class HomogeneousTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformHomogeneous<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_trunk_X_fr_LF_hipassembly : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_hipassembly();
+ const Type_fr_trunk_X_fr_LF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_hipassembly : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_hipassembly();
+ const Type_fr_trunk_X_fr_RF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_hipassembly : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_hipassembly();
+ const Type_fr_trunk_X_fr_LH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_hipassembly : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_hipassembly();
+ const Type_fr_trunk_X_fr_RH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_upperleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_upperleg();
+ const Type_fr_trunk_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_upperleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_upperleg();
+ const Type_fr_trunk_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_upperleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_upperleg();
+ const Type_fr_trunk_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_upperleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_upperleg();
+ const Type_fr_trunk_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_lowerleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_lowerleg();
+ const Type_fr_trunk_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_lowerleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_lowerleg();
+ const Type_fr_trunk_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_lowerleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_lowerleg();
+ const Type_fr_trunk_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_lowerleg : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_lowerleg();
+ const Type_fr_trunk_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_hipassembly_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LF_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_hipassembly_X_fr_trunk();
+ const Type_fr_LF_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_hipassembly_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RF_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_hipassembly_X_fr_trunk();
+ const Type_fr_RF_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_hipassembly_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LH_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_hipassembly_X_fr_trunk();
+ const Type_fr_LH_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_hipassembly_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RH_hipassembly_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_hipassembly_X_fr_trunk();
+ const Type_fr_RH_hipassembly_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LF_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_trunk();
+ const Type_fr_LF_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RF_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_trunk();
+ const Type_fr_RF_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LH_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_trunk();
+ const Type_fr_LH_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RH_upperleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_trunk();
+ const Type_fr_RH_upperleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_lowerleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LF_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_lowerleg_X_fr_trunk();
+ const Type_fr_LF_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_lowerleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RF_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_lowerleg_X_fr_trunk();
+ const Type_fr_RF_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_lowerleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LH_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_lowerleg_X_fr_trunk();
+ const Type_fr_LH_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_lowerleg_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RH_lowerleg_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_lowerleg_X_fr_trunk();
+ const Type_fr_RH_lowerleg_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_hipassemblyCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_LF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_hipassemblyCOM();
+ const Type_fr_trunk_X_LF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_hipassemblyCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_RF_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_hipassemblyCOM();
+ const Type_fr_trunk_X_RF_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_hipassemblyCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_LH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_hipassemblyCOM();
+ const Type_fr_trunk_X_LH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_hipassemblyCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_RH_hipassemblyCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_hipassemblyCOM();
+ const Type_fr_trunk_X_RH_hipassemblyCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_upperlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_LF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_upperlegCOM();
+ const Type_fr_trunk_X_LF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_upperlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_RF_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_upperlegCOM();
+ const Type_fr_trunk_X_RF_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_upperlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_LH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_upperlegCOM();
+ const Type_fr_trunk_X_LH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_upperlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_RH_upperlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_upperlegCOM();
+ const Type_fr_trunk_X_RH_upperlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LF_lowerlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_LF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LF_lowerlegCOM();
+ const Type_fr_trunk_X_LF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RF_lowerlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_RF_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RF_lowerlegCOM();
+ const Type_fr_trunk_X_RF_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_LH_lowerlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_LH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_LH_lowerlegCOM();
+ const Type_fr_trunk_X_LH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_RH_lowerlegCOM : public TransformHomogeneous<Scalar, Type_fr_trunk_X_RH_lowerlegCOM>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_RH_lowerlegCOM();
+ const Type_fr_trunk_X_RH_lowerlegCOM& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_foot_X_fr_LF_lowerleg : public TransformHomogeneous<Scalar, Type_fr_LF_foot_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_foot_X_fr_LF_lowerleg();
+ const Type_fr_LF_foot_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_foot_X_fr_RF_lowerleg : public TransformHomogeneous<Scalar, Type_fr_RF_foot_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_foot_X_fr_RF_lowerleg();
+ const Type_fr_RF_foot_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_foot_X_fr_LH_lowerleg : public TransformHomogeneous<Scalar, Type_fr_LH_foot_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_foot_X_fr_LH_lowerleg();
+ const Type_fr_LH_foot_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_foot_X_fr_RH_lowerleg : public TransformHomogeneous<Scalar, Type_fr_RH_foot_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_foot_X_fr_RH_lowerleg();
+ const Type_fr_RH_foot_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_foot : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_foot();
+ const Type_fr_trunk_X_fr_LF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_foot : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_foot();
+ const Type_fr_trunk_X_fr_RF_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_foot : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_foot();
+ const Type_fr_trunk_X_fr_LH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_foot : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_foot>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_foot();
+ const Type_fr_trunk_X_fr_RH_foot& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_foot_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LF_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_foot_X_fr_trunk();
+ const Type_fr_LF_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_foot_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RF_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_foot_X_fr_trunk();
+ const Type_fr_RF_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_foot_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_LH_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_foot_X_fr_trunk();
+ const Type_fr_LH_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_foot_X_fr_trunk : public TransformHomogeneous<Scalar, Type_fr_RH_foot_X_fr_trunk>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_foot_X_fr_trunk();
+ const Type_fr_RH_foot_X_fr_trunk& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_HAA : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_HAA();
+ const Type_fr_trunk_X_fr_LF_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_HAA : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_HAA();
+ const Type_fr_trunk_X_fr_RF_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_HAA : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_HAA();
+ const Type_fr_trunk_X_fr_LH_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_HAA : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_HAA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_HAA();
+ const Type_fr_trunk_X_fr_RH_HAA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_HFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_HFE();
+ const Type_fr_trunk_X_fr_LF_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_HFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_HFE();
+ const Type_fr_trunk_X_fr_RF_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_HFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_HFE();
+ const Type_fr_trunk_X_fr_LH_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_HFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_HFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_HFE();
+ const Type_fr_trunk_X_fr_RH_HFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LF_KFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LF_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LF_KFE();
+ const Type_fr_trunk_X_fr_LF_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RF_KFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RF_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RF_KFE();
+ const Type_fr_trunk_X_fr_RF_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_LH_KFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_LH_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_LH_KFE();
+ const Type_fr_trunk_X_fr_LH_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_trunk_X_fr_RH_KFE : public TransformHomogeneous<Scalar, Type_fr_trunk_X_fr_RH_KFE>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_trunk_X_fr_RH_KFE();
+ const Type_fr_trunk_X_fr_RH_KFE& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_LF_hipassembly : public TransformHomogeneous<Scalar, Type_fr_LF_upperleg_X_fr_LF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_LF_hipassembly();
+ const Type_fr_LF_upperleg_X_fr_LF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_hipassembly_X_fr_LF_upperleg : public TransformHomogeneous<Scalar, Type_fr_LF_hipassembly_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_hipassembly_X_fr_LF_upperleg();
+ const Type_fr_LF_hipassembly_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_lowerleg_X_fr_LF_upperleg : public TransformHomogeneous<Scalar, Type_fr_LF_lowerleg_X_fr_LF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_lowerleg_X_fr_LF_upperleg();
+ const Type_fr_LF_lowerleg_X_fr_LF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LF_upperleg_X_fr_LF_lowerleg : public TransformHomogeneous<Scalar, Type_fr_LF_upperleg_X_fr_LF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LF_upperleg_X_fr_LF_lowerleg();
+ const Type_fr_LF_upperleg_X_fr_LF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_RF_hipassembly : public TransformHomogeneous<Scalar, Type_fr_RF_upperleg_X_fr_RF_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_RF_hipassembly();
+ const Type_fr_RF_upperleg_X_fr_RF_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_hipassembly_X_fr_RF_upperleg : public TransformHomogeneous<Scalar, Type_fr_RF_hipassembly_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_hipassembly_X_fr_RF_upperleg();
+ const Type_fr_RF_hipassembly_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_lowerleg_X_fr_RF_upperleg : public TransformHomogeneous<Scalar, Type_fr_RF_lowerleg_X_fr_RF_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_lowerleg_X_fr_RF_upperleg();
+ const Type_fr_RF_lowerleg_X_fr_RF_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RF_upperleg_X_fr_RF_lowerleg : public TransformHomogeneous<Scalar, Type_fr_RF_upperleg_X_fr_RF_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RF_upperleg_X_fr_RF_lowerleg();
+ const Type_fr_RF_upperleg_X_fr_RF_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_LH_hipassembly : public TransformHomogeneous<Scalar, Type_fr_LH_upperleg_X_fr_LH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_LH_hipassembly();
+ const Type_fr_LH_upperleg_X_fr_LH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_hipassembly_X_fr_LH_upperleg : public TransformHomogeneous<Scalar, Type_fr_LH_hipassembly_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_hipassembly_X_fr_LH_upperleg();
+ const Type_fr_LH_hipassembly_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_lowerleg_X_fr_LH_upperleg : public TransformHomogeneous<Scalar, Type_fr_LH_lowerleg_X_fr_LH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_lowerleg_X_fr_LH_upperleg();
+ const Type_fr_LH_lowerleg_X_fr_LH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_LH_upperleg_X_fr_LH_lowerleg : public TransformHomogeneous<Scalar, Type_fr_LH_upperleg_X_fr_LH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_LH_upperleg_X_fr_LH_lowerleg();
+ const Type_fr_LH_upperleg_X_fr_LH_lowerleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_RH_hipassembly : public TransformHomogeneous<Scalar, Type_fr_RH_upperleg_X_fr_RH_hipassembly>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_RH_hipassembly();
+ const Type_fr_RH_upperleg_X_fr_RH_hipassembly& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_hipassembly_X_fr_RH_upperleg : public TransformHomogeneous<Scalar, Type_fr_RH_hipassembly_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_hipassembly_X_fr_RH_upperleg();
+ const Type_fr_RH_hipassembly_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_lowerleg_X_fr_RH_upperleg : public TransformHomogeneous<Scalar, Type_fr_RH_lowerleg_X_fr_RH_upperleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_lowerleg_X_fr_RH_upperleg();
+ const Type_fr_RH_lowerleg_X_fr_RH_upperleg& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_RH_upperleg_X_fr_RH_lowerleg : public TransformHomogeneous<Scalar, Type_fr_RH_upperleg_X_fr_RH_lowerleg>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_RH_upperleg_X_fr_RH_lowerleg();
+ const Type_fr_RH_upperleg_X_fr_RH_lowerleg& update(const JState&);
+ protected:
+ };
+
+public:
+ HomogeneousTransforms();
+ void updateParameters();
+ Type_fr_trunk_X_fr_LF_hipassembly fr_trunk_X_fr_LF_hipassembly;
+ Type_fr_trunk_X_fr_RF_hipassembly fr_trunk_X_fr_RF_hipassembly;
+ Type_fr_trunk_X_fr_LH_hipassembly fr_trunk_X_fr_LH_hipassembly;
+ Type_fr_trunk_X_fr_RH_hipassembly fr_trunk_X_fr_RH_hipassembly;
+ Type_fr_trunk_X_fr_LF_upperleg fr_trunk_X_fr_LF_upperleg;
+ Type_fr_trunk_X_fr_RF_upperleg fr_trunk_X_fr_RF_upperleg;
+ Type_fr_trunk_X_fr_LH_upperleg fr_trunk_X_fr_LH_upperleg;
+ Type_fr_trunk_X_fr_RH_upperleg fr_trunk_X_fr_RH_upperleg;
+ Type_fr_trunk_X_fr_LF_lowerleg fr_trunk_X_fr_LF_lowerleg;
+ Type_fr_trunk_X_fr_RF_lowerleg fr_trunk_X_fr_RF_lowerleg;
+ Type_fr_trunk_X_fr_LH_lowerleg fr_trunk_X_fr_LH_lowerleg;
+ Type_fr_trunk_X_fr_RH_lowerleg fr_trunk_X_fr_RH_lowerleg;
+ Type_fr_LF_hipassembly_X_fr_trunk fr_LF_hipassembly_X_fr_trunk;
+ Type_fr_RF_hipassembly_X_fr_trunk fr_RF_hipassembly_X_fr_trunk;
+ Type_fr_LH_hipassembly_X_fr_trunk fr_LH_hipassembly_X_fr_trunk;
+ Type_fr_RH_hipassembly_X_fr_trunk fr_RH_hipassembly_X_fr_trunk;
+ Type_fr_LF_upperleg_X_fr_trunk fr_LF_upperleg_X_fr_trunk;
+ Type_fr_RF_upperleg_X_fr_trunk fr_RF_upperleg_X_fr_trunk;
+ Type_fr_LH_upperleg_X_fr_trunk fr_LH_upperleg_X_fr_trunk;
+ Type_fr_RH_upperleg_X_fr_trunk fr_RH_upperleg_X_fr_trunk;
+ Type_fr_LF_lowerleg_X_fr_trunk fr_LF_lowerleg_X_fr_trunk;
+ Type_fr_RF_lowerleg_X_fr_trunk fr_RF_lowerleg_X_fr_trunk;
+ Type_fr_LH_lowerleg_X_fr_trunk fr_LH_lowerleg_X_fr_trunk;
+ Type_fr_RH_lowerleg_X_fr_trunk fr_RH_lowerleg_X_fr_trunk;
+ Type_fr_trunk_X_LF_hipassemblyCOM fr_trunk_X_LF_hipassemblyCOM;
+ Type_fr_trunk_X_RF_hipassemblyCOM fr_trunk_X_RF_hipassemblyCOM;
+ Type_fr_trunk_X_LH_hipassemblyCOM fr_trunk_X_LH_hipassemblyCOM;
+ Type_fr_trunk_X_RH_hipassemblyCOM fr_trunk_X_RH_hipassemblyCOM;
+ Type_fr_trunk_X_LF_upperlegCOM fr_trunk_X_LF_upperlegCOM;
+ Type_fr_trunk_X_RF_upperlegCOM fr_trunk_X_RF_upperlegCOM;
+ Type_fr_trunk_X_LH_upperlegCOM fr_trunk_X_LH_upperlegCOM;
+ Type_fr_trunk_X_RH_upperlegCOM fr_trunk_X_RH_upperlegCOM;
+ Type_fr_trunk_X_LF_lowerlegCOM fr_trunk_X_LF_lowerlegCOM;
+ Type_fr_trunk_X_RF_lowerlegCOM fr_trunk_X_RF_lowerlegCOM;
+ Type_fr_trunk_X_LH_lowerlegCOM fr_trunk_X_LH_lowerlegCOM;
+ Type_fr_trunk_X_RH_lowerlegCOM fr_trunk_X_RH_lowerlegCOM;
+ Type_fr_LF_foot_X_fr_LF_lowerleg fr_LF_foot_X_fr_LF_lowerleg;
+ Type_fr_RF_foot_X_fr_RF_lowerleg fr_RF_foot_X_fr_RF_lowerleg;
+ Type_fr_LH_foot_X_fr_LH_lowerleg fr_LH_foot_X_fr_LH_lowerleg;
+ Type_fr_RH_foot_X_fr_RH_lowerleg fr_RH_foot_X_fr_RH_lowerleg;
+ Type_fr_trunk_X_fr_LF_foot fr_trunk_X_fr_LF_foot;
+ Type_fr_trunk_X_fr_RF_foot fr_trunk_X_fr_RF_foot;
+ Type_fr_trunk_X_fr_LH_foot fr_trunk_X_fr_LH_foot;
+ Type_fr_trunk_X_fr_RH_foot fr_trunk_X_fr_RH_foot;
+ Type_fr_LF_foot_X_fr_trunk fr_LF_foot_X_fr_trunk;
+ Type_fr_RF_foot_X_fr_trunk fr_RF_foot_X_fr_trunk;
+ Type_fr_LH_foot_X_fr_trunk fr_LH_foot_X_fr_trunk;
+ Type_fr_RH_foot_X_fr_trunk fr_RH_foot_X_fr_trunk;
+ Type_fr_trunk_X_fr_LF_HAA fr_trunk_X_fr_LF_HAA;
+ Type_fr_trunk_X_fr_RF_HAA fr_trunk_X_fr_RF_HAA;
+ Type_fr_trunk_X_fr_LH_HAA fr_trunk_X_fr_LH_HAA;
+ Type_fr_trunk_X_fr_RH_HAA fr_trunk_X_fr_RH_HAA;
+ Type_fr_trunk_X_fr_LF_HFE fr_trunk_X_fr_LF_HFE;
+ Type_fr_trunk_X_fr_RF_HFE fr_trunk_X_fr_RF_HFE;
+ Type_fr_trunk_X_fr_LH_HFE fr_trunk_X_fr_LH_HFE;
+ Type_fr_trunk_X_fr_RH_HFE fr_trunk_X_fr_RH_HFE;
+ Type_fr_trunk_X_fr_LF_KFE fr_trunk_X_fr_LF_KFE;
+ Type_fr_trunk_X_fr_RF_KFE fr_trunk_X_fr_RF_KFE;
+ Type_fr_trunk_X_fr_LH_KFE fr_trunk_X_fr_LH_KFE;
+ Type_fr_trunk_X_fr_RH_KFE fr_trunk_X_fr_RH_KFE;
+ Type_fr_LF_upperleg_X_fr_LF_hipassembly fr_LF_upperleg_X_fr_LF_hipassembly;
+ Type_fr_LF_hipassembly_X_fr_LF_upperleg fr_LF_hipassembly_X_fr_LF_upperleg;
+ Type_fr_LF_lowerleg_X_fr_LF_upperleg fr_LF_lowerleg_X_fr_LF_upperleg;
+ Type_fr_LF_upperleg_X_fr_LF_lowerleg fr_LF_upperleg_X_fr_LF_lowerleg;
+ Type_fr_RF_upperleg_X_fr_RF_hipassembly fr_RF_upperleg_X_fr_RF_hipassembly;
+ Type_fr_RF_hipassembly_X_fr_RF_upperleg fr_RF_hipassembly_X_fr_RF_upperleg;
+ Type_fr_RF_lowerleg_X_fr_RF_upperleg fr_RF_lowerleg_X_fr_RF_upperleg;
+ Type_fr_RF_upperleg_X_fr_RF_lowerleg fr_RF_upperleg_X_fr_RF_lowerleg;
+ Type_fr_LH_upperleg_X_fr_LH_hipassembly fr_LH_upperleg_X_fr_LH_hipassembly;
+ Type_fr_LH_hipassembly_X_fr_LH_upperleg fr_LH_hipassembly_X_fr_LH_upperleg;
+ Type_fr_LH_lowerleg_X_fr_LH_upperleg fr_LH_lowerleg_X_fr_LH_upperleg;
+ Type_fr_LH_upperleg_X_fr_LH_lowerleg fr_LH_upperleg_X_fr_LH_lowerleg;
+ Type_fr_RH_upperleg_X_fr_RH_hipassembly fr_RH_upperleg_X_fr_RH_hipassembly;
+ Type_fr_RH_hipassembly_X_fr_RH_upperleg fr_RH_hipassembly_X_fr_RH_upperleg;
+ Type_fr_RH_lowerleg_X_fr_RH_upperleg fr_RH_lowerleg_X_fr_RH_upperleg;
+ Type_fr_RH_upperleg_X_fr_RH_lowerleg fr_RH_upperleg_X_fr_RH_lowerleg;
+
+protected:
+
+}; //class 'HomogeneousTransforms'
+
+}
+
+using MotionTransforms = tpl::MotionTransforms<rbd::DoubleTrait>;
+using ForceTransforms = tpl::ForceTransforms<rbd::DoubleTrait>;
+using HomogeneousTransforms = tpl::HomogeneousTransforms<rbd::DoubleTrait>;
+
+}
+}
+
+#include "transforms.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/HyQ/generated/transforms.impl.h b/ct_models/include/ct/models/HyQ/generated/transforms.impl.h
new file mode 100644
index 0000000..c8c6d65
--- /dev/null
+++ b/ct_models/include/ct/models/HyQ/generated/transforms.impl.h
@@ -0,0 +1,10674 @@
+
+// Constructors
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::MotionTransforms
+ ()
+ :
+ fr_trunk_X_fr_LF_hipassembly(),
+ fr_trunk_X_fr_RF_hipassembly(),
+ fr_trunk_X_fr_LH_hipassembly(),
+ fr_trunk_X_fr_RH_hipassembly(),
+ fr_trunk_X_fr_LF_upperleg(),
+ fr_trunk_X_fr_RF_upperleg(),
+ fr_trunk_X_fr_LH_upperleg(),
+ fr_trunk_X_fr_RH_upperleg(),
+ fr_trunk_X_fr_LF_lowerleg(),
+ fr_trunk_X_fr_RF_lowerleg(),
+ fr_trunk_X_fr_LH_lowerleg(),
+ fr_trunk_X_fr_RH_lowerleg(),
+ fr_LF_hipassembly_X_fr_trunk(),
+ fr_RF_hipassembly_X_fr_trunk(),
+ fr_LH_hipassembly_X_fr_trunk(),
+ fr_RH_hipassembly_X_fr_trunk(),
+ fr_LF_upperleg_X_fr_trunk(),
+ fr_RF_upperleg_X_fr_trunk(),
+ fr_LH_upperleg_X_fr_trunk(),
+ fr_RH_upperleg_X_fr_trunk(),
+ fr_LF_lowerleg_X_fr_trunk(),
+ fr_RF_lowerleg_X_fr_trunk(),
+ fr_LH_lowerleg_X_fr_trunk(),
+ fr_RH_lowerleg_X_fr_trunk(),
+ fr_trunk_X_LF_hipassemblyCOM(),
+ fr_trunk_X_RF_hipassemblyCOM(),
+ fr_trunk_X_LH_hipassemblyCOM(),
+ fr_trunk_X_RH_hipassemblyCOM(),
+ fr_trunk_X_LF_upperlegCOM(),
+ fr_trunk_X_RF_upperlegCOM(),
+ fr_trunk_X_LH_upperlegCOM(),
+ fr_trunk_X_RH_upperlegCOM(),
+ fr_trunk_X_LF_lowerlegCOM(),
+ fr_trunk_X_RF_lowerlegCOM(),
+ fr_trunk_X_LH_lowerlegCOM(),
+ fr_trunk_X_RH_lowerlegCOM(),
+ fr_LF_foot_X_fr_LF_lowerleg(),
+ fr_RF_foot_X_fr_RF_lowerleg(),
+ fr_LH_foot_X_fr_LH_lowerleg(),
+ fr_RH_foot_X_fr_RH_lowerleg(),
+ fr_trunk_X_fr_LF_foot(),
+ fr_trunk_X_fr_RF_foot(),
+ fr_trunk_X_fr_LH_foot(),
+ fr_trunk_X_fr_RH_foot(),
+ fr_LF_foot_X_fr_trunk(),
+ fr_RF_foot_X_fr_trunk(),
+ fr_LH_foot_X_fr_trunk(),
+ fr_RH_foot_X_fr_trunk(),
+ fr_trunk_X_fr_LF_HAA(),
+ fr_trunk_X_fr_RF_HAA(),
+ fr_trunk_X_fr_LH_HAA(),
+ fr_trunk_X_fr_RH_HAA(),
+ fr_trunk_X_fr_LF_HFE(),
+ fr_trunk_X_fr_RF_HFE(),
+ fr_trunk_X_fr_LH_HFE(),
+ fr_trunk_X_fr_RH_HFE(),
+ fr_trunk_X_fr_LF_KFE(),
+ fr_trunk_X_fr_RF_KFE(),
+ fr_trunk_X_fr_LH_KFE(),
+ fr_trunk_X_fr_RH_KFE(),
+ fr_LF_upperleg_X_fr_LF_hipassembly(),
+ fr_LF_hipassembly_X_fr_LF_upperleg(),
+ fr_LF_lowerleg_X_fr_LF_upperleg(),
+ fr_LF_upperleg_X_fr_LF_lowerleg(),
+ fr_RF_upperleg_X_fr_RF_hipassembly(),
+ fr_RF_hipassembly_X_fr_RF_upperleg(),
+ fr_RF_lowerleg_X_fr_RF_upperleg(),
+ fr_RF_upperleg_X_fr_RF_lowerleg(),
+ fr_LH_upperleg_X_fr_LH_hipassembly(),
+ fr_LH_hipassembly_X_fr_LH_upperleg(),
+ fr_LH_lowerleg_X_fr_LH_upperleg(),
+ fr_LH_upperleg_X_fr_LH_lowerleg(),
+ fr_RH_upperleg_X_fr_RH_hipassembly(),
+ fr_RH_hipassembly_X_fr_RH_upperleg(),
+ fr_RH_lowerleg_X_fr_RH_upperleg(),
+ fr_RH_upperleg_X_fr_RH_lowerleg()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::HyQ::tpl::MotionTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::ForceTransforms
+ ()
+ :
+ fr_trunk_X_fr_LF_hipassembly(),
+ fr_trunk_X_fr_RF_hipassembly(),
+ fr_trunk_X_fr_LH_hipassembly(),
+ fr_trunk_X_fr_RH_hipassembly(),
+ fr_trunk_X_fr_LF_upperleg(),
+ fr_trunk_X_fr_RF_upperleg(),
+ fr_trunk_X_fr_LH_upperleg(),
+ fr_trunk_X_fr_RH_upperleg(),
+ fr_trunk_X_fr_LF_lowerleg(),
+ fr_trunk_X_fr_RF_lowerleg(),
+ fr_trunk_X_fr_LH_lowerleg(),
+ fr_trunk_X_fr_RH_lowerleg(),
+ fr_LF_hipassembly_X_fr_trunk(),
+ fr_RF_hipassembly_X_fr_trunk(),
+ fr_LH_hipassembly_X_fr_trunk(),
+ fr_RH_hipassembly_X_fr_trunk(),
+ fr_LF_upperleg_X_fr_trunk(),
+ fr_RF_upperleg_X_fr_trunk(),
+ fr_LH_upperleg_X_fr_trunk(),
+ fr_RH_upperleg_X_fr_trunk(),
+ fr_LF_lowerleg_X_fr_trunk(),
+ fr_RF_lowerleg_X_fr_trunk(),
+ fr_LH_lowerleg_X_fr_trunk(),
+ fr_RH_lowerleg_X_fr_trunk(),
+ fr_trunk_X_LF_hipassemblyCOM(),
+ fr_trunk_X_RF_hipassemblyCOM(),
+ fr_trunk_X_LH_hipassemblyCOM(),
+ fr_trunk_X_RH_hipassemblyCOM(),
+ fr_trunk_X_LF_upperlegCOM(),
+ fr_trunk_X_RF_upperlegCOM(),
+ fr_trunk_X_LH_upperlegCOM(),
+ fr_trunk_X_RH_upperlegCOM(),
+ fr_trunk_X_LF_lowerlegCOM(),
+ fr_trunk_X_RF_lowerlegCOM(),
+ fr_trunk_X_LH_lowerlegCOM(),
+ fr_trunk_X_RH_lowerlegCOM(),
+ fr_LF_foot_X_fr_LF_lowerleg(),
+ fr_RF_foot_X_fr_RF_lowerleg(),
+ fr_LH_foot_X_fr_LH_lowerleg(),
+ fr_RH_foot_X_fr_RH_lowerleg(),
+ fr_trunk_X_fr_LF_foot(),
+ fr_trunk_X_fr_RF_foot(),
+ fr_trunk_X_fr_LH_foot(),
+ fr_trunk_X_fr_RH_foot(),
+ fr_LF_foot_X_fr_trunk(),
+ fr_RF_foot_X_fr_trunk(),
+ fr_LH_foot_X_fr_trunk(),
+ fr_RH_foot_X_fr_trunk(),
+ fr_trunk_X_fr_LF_HAA(),
+ fr_trunk_X_fr_RF_HAA(),
+ fr_trunk_X_fr_LH_HAA(),
+ fr_trunk_X_fr_RH_HAA(),
+ fr_trunk_X_fr_LF_HFE(),
+ fr_trunk_X_fr_RF_HFE(),
+ fr_trunk_X_fr_LH_HFE(),
+ fr_trunk_X_fr_RH_HFE(),
+ fr_trunk_X_fr_LF_KFE(),
+ fr_trunk_X_fr_RF_KFE(),
+ fr_trunk_X_fr_LH_KFE(),
+ fr_trunk_X_fr_RH_KFE(),
+ fr_LF_upperleg_X_fr_LF_hipassembly(),
+ fr_LF_hipassembly_X_fr_LF_upperleg(),
+ fr_LF_lowerleg_X_fr_LF_upperleg(),
+ fr_LF_upperleg_X_fr_LF_lowerleg(),
+ fr_RF_upperleg_X_fr_RF_hipassembly(),
+ fr_RF_hipassembly_X_fr_RF_upperleg(),
+ fr_RF_lowerleg_X_fr_RF_upperleg(),
+ fr_RF_upperleg_X_fr_RF_lowerleg(),
+ fr_LH_upperleg_X_fr_LH_hipassembly(),
+ fr_LH_hipassembly_X_fr_LH_upperleg(),
+ fr_LH_lowerleg_X_fr_LH_upperleg(),
+ fr_LH_upperleg_X_fr_LH_lowerleg(),
+ fr_RH_upperleg_X_fr_RH_hipassembly(),
+ fr_RH_hipassembly_X_fr_RH_upperleg(),
+ fr_RH_lowerleg_X_fr_RH_upperleg(),
+ fr_RH_upperleg_X_fr_RH_lowerleg()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::HyQ::tpl::ForceTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::HomogeneousTransforms
+ ()
+ :
+ fr_trunk_X_fr_LF_hipassembly(),
+ fr_trunk_X_fr_RF_hipassembly(),
+ fr_trunk_X_fr_LH_hipassembly(),
+ fr_trunk_X_fr_RH_hipassembly(),
+ fr_trunk_X_fr_LF_upperleg(),
+ fr_trunk_X_fr_RF_upperleg(),
+ fr_trunk_X_fr_LH_upperleg(),
+ fr_trunk_X_fr_RH_upperleg(),
+ fr_trunk_X_fr_LF_lowerleg(),
+ fr_trunk_X_fr_RF_lowerleg(),
+ fr_trunk_X_fr_LH_lowerleg(),
+ fr_trunk_X_fr_RH_lowerleg(),
+ fr_LF_hipassembly_X_fr_trunk(),
+ fr_RF_hipassembly_X_fr_trunk(),
+ fr_LH_hipassembly_X_fr_trunk(),
+ fr_RH_hipassembly_X_fr_trunk(),
+ fr_LF_upperleg_X_fr_trunk(),
+ fr_RF_upperleg_X_fr_trunk(),
+ fr_LH_upperleg_X_fr_trunk(),
+ fr_RH_upperleg_X_fr_trunk(),
+ fr_LF_lowerleg_X_fr_trunk(),
+ fr_RF_lowerleg_X_fr_trunk(),
+ fr_LH_lowerleg_X_fr_trunk(),
+ fr_RH_lowerleg_X_fr_trunk(),
+ fr_trunk_X_LF_hipassemblyCOM(),
+ fr_trunk_X_RF_hipassemblyCOM(),
+ fr_trunk_X_LH_hipassemblyCOM(),
+ fr_trunk_X_RH_hipassemblyCOM(),
+ fr_trunk_X_LF_upperlegCOM(),
+ fr_trunk_X_RF_upperlegCOM(),
+ fr_trunk_X_LH_upperlegCOM(),
+ fr_trunk_X_RH_upperlegCOM(),
+ fr_trunk_X_LF_lowerlegCOM(),
+ fr_trunk_X_RF_lowerlegCOM(),
+ fr_trunk_X_LH_lowerlegCOM(),
+ fr_trunk_X_RH_lowerlegCOM(),
+ fr_LF_foot_X_fr_LF_lowerleg(),
+ fr_RF_foot_X_fr_RF_lowerleg(),
+ fr_LH_foot_X_fr_LH_lowerleg(),
+ fr_RH_foot_X_fr_RH_lowerleg(),
+ fr_trunk_X_fr_LF_foot(),
+ fr_trunk_X_fr_RF_foot(),
+ fr_trunk_X_fr_LH_foot(),
+ fr_trunk_X_fr_RH_foot(),
+ fr_LF_foot_X_fr_trunk(),
+ fr_RF_foot_X_fr_trunk(),
+ fr_LH_foot_X_fr_trunk(),
+ fr_RH_foot_X_fr_trunk(),
+ fr_trunk_X_fr_LF_HAA(),
+ fr_trunk_X_fr_RF_HAA(),
+ fr_trunk_X_fr_LH_HAA(),
+ fr_trunk_X_fr_RH_HAA(),
+ fr_trunk_X_fr_LF_HFE(),
+ fr_trunk_X_fr_RF_HFE(),
+ fr_trunk_X_fr_LH_HFE(),
+ fr_trunk_X_fr_RH_HFE(),
+ fr_trunk_X_fr_LF_KFE(),
+ fr_trunk_X_fr_RF_KFE(),
+ fr_trunk_X_fr_LH_KFE(),
+ fr_trunk_X_fr_RH_KFE(),
+ fr_LF_upperleg_X_fr_LF_hipassembly(),
+ fr_LF_hipassembly_X_fr_LF_upperleg(),
+ fr_LF_lowerleg_X_fr_LF_upperleg(),
+ fr_LF_upperleg_X_fr_LF_lowerleg(),
+ fr_RF_upperleg_X_fr_RF_hipassembly(),
+ fr_RF_hipassembly_X_fr_RF_upperleg(),
+ fr_RF_lowerleg_X_fr_RF_upperleg(),
+ fr_RF_upperleg_X_fr_RF_lowerleg(),
+ fr_LH_upperleg_X_fr_LH_hipassembly(),
+ fr_LH_hipassembly_X_fr_LH_upperleg(),
+ fr_LH_lowerleg_X_fr_LH_upperleg(),
+ fr_LH_upperleg_X_fr_LH_lowerleg(),
+ fr_RH_upperleg_X_fr_RH_hipassembly(),
+ fr_RH_hipassembly_X_fr_RH_upperleg(),
+ fr_RH_lowerleg_X_fr_RH_upperleg(),
+ fr_RH_upperleg_X_fr_RH_lowerleg()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly::Type_fr_trunk_X_fr_LF_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,1) = sin__q_LF_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(3,1) = ( 0.207 * sin__q_LF_HAA__);
+ (*this)(4,0) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(4,1) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(4,3) = - sin__q_LF_HAA__;
+ (*this)(4,4) = - cos__q_LF_HAA__;
+ (*this)(5,0) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(5,1) = (- 0.3735 * cos__q_LF_HAA__);
+ (*this)(5,3) = - cos__q_LF_HAA__;
+ (*this)(5,4) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly::Type_fr_trunk_X_fr_RF_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(3,1) = (- 0.207 * sin__q_RF_HAA__);
+ (*this)(4,0) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(4,1) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(4,3) = sin__q_RF_HAA__;
+ (*this)(4,4) = cos__q_RF_HAA__;
+ (*this)(5,0) = ( 0.3735 * sin__q_RF_HAA__);
+ (*this)(5,1) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(5,3) = - cos__q_RF_HAA__;
+ (*this)(5,4) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly::Type_fr_trunk_X_fr_LH_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,1) = sin__q_LH_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(3,1) = ( 0.207 * sin__q_LH_HAA__);
+ (*this)(4,0) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(4,1) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(4,3) = - sin__q_LH_HAA__;
+ (*this)(4,4) = - cos__q_LH_HAA__;
+ (*this)(5,0) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(5,1) = ( 0.3735 * cos__q_LH_HAA__);
+ (*this)(5,3) = - cos__q_LH_HAA__;
+ (*this)(5,4) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly::Type_fr_trunk_X_fr_RH_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(3,1) = (- 0.207 * sin__q_RH_HAA__);
+ (*this)(4,0) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(4,1) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(4,3) = sin__q_RH_HAA__;
+ (*this)(4,4) = cos__q_RH_HAA__;
+ (*this)(5,0) = (- 0.3735 * sin__q_RH_HAA__);
+ (*this)(5,1) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(5,3) = - cos__q_RH_HAA__;
+ (*this)(5,4) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg::Type_fr_trunk_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(3,1) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_LF_HAA__));
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = - cos__q_LF_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(4,1) = ((( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(4,2) = ( 0.3735 * sin__q_LF_HAA__);
+ (*this)(4,3) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = ((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(5,1) = ((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__));
+ (*this)(5,2) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(5,3) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(5,4) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg::Type_fr_trunk_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(3,1) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = - cos__q_RF_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(4,1) = ((( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(4,2) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(4,3) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(5,1) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,2) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(5,3) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(5,4) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg::Type_fr_trunk_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(3,1) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_LH_HAA__));
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = - cos__q_LH_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(4,1) = ((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(4,2) = (- 0.3735 * sin__q_LH_HAA__);
+ (*this)(4,3) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(5,1) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(5,2) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(5,3) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(5,4) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg::Type_fr_trunk_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(3,1) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = - cos__q_RH_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(4,1) = ((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(4,2) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(4,3) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = (((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(5,1) = ((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__));
+ (*this)(5,2) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(5,3) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(5,4) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg::Type_fr_trunk_X_fr_LF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,1) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,2) = ((( 0.35 * cos__q_LF_HFE__) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,0) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(4,1) = (((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(4,2) = (( 0.3735 * sin__q_LF_HAA__) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(4,3) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(5,1) = (((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(5,2) = (( 0.3735 * cos__q_LF_HAA__) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(5,3) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg::Type_fr_trunk_X_fr_RF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,1) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(3,2) = ((( 0.35 * cos__q_RF_HFE__) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,0) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(4,1) = (((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(4,2) = ((( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(4,3) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(5,1) = ((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(5,2) = (( 0.3735 * cos__q_RF_HAA__) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,3) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg::Type_fr_trunk_X_fr_LH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,1) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,2) = ((( 0.35 * cos__q_LH_HFE__) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,0) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(4,1) = ((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(4,2) = (((- 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(4,3) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(5,1) = (((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(5,2) = (((- 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,3) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg::Type_fr_trunk_X_fr_RH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,1) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(3,2) = ((( 0.35 * cos__q_RH_HFE__) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,0) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(4,1) = ((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(4,2) = ((( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(4,3) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(5,1) = ((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(5,2) = (((- 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,3) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk::Type_fr_LF_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,1) = - sin__q_LF_HAA__;
+ (*this)(0,2) = - cos__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(1,2) = sin__q_LF_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(3,1) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(3,2) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(3,4) = - sin__q_LF_HAA__;
+ (*this)(3,5) = - cos__q_LF_HAA__;
+ (*this)(4,0) = ( 0.207 * sin__q_LF_HAA__);
+ (*this)(4,1) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(4,2) = (- 0.3735 * cos__q_LF_HAA__);
+ (*this)(4,4) = - cos__q_LF_HAA__;
+ (*this)(4,5) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk::Type_fr_RF_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,1) = sin__q_RF_HAA__;
+ (*this)(0,2) = - cos__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(3,1) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(3,2) = ( 0.3735 * sin__q_RF_HAA__);
+ (*this)(3,4) = sin__q_RF_HAA__;
+ (*this)(3,5) = - cos__q_RF_HAA__;
+ (*this)(4,0) = (- 0.207 * sin__q_RF_HAA__);
+ (*this)(4,1) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(4,2) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(4,4) = cos__q_RF_HAA__;
+ (*this)(4,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk::Type_fr_LH_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,1) = - sin__q_LH_HAA__;
+ (*this)(0,2) = - cos__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(1,2) = sin__q_LH_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(3,1) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(3,2) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(3,4) = - sin__q_LH_HAA__;
+ (*this)(3,5) = - cos__q_LH_HAA__;
+ (*this)(4,0) = ( 0.207 * sin__q_LH_HAA__);
+ (*this)(4,1) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(4,2) = ( 0.3735 * cos__q_LH_HAA__);
+ (*this)(4,4) = - cos__q_LH_HAA__;
+ (*this)(4,5) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk::Type_fr_RH_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,1) = sin__q_RH_HAA__;
+ (*this)(0,2) = - cos__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(3,1) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(3,2) = (- 0.3735 * sin__q_RH_HAA__);
+ (*this)(3,4) = sin__q_RH_HAA__;
+ (*this)(3,5) = - cos__q_RH_HAA__;
+ (*this)(4,0) = (- 0.207 * sin__q_RH_HAA__);
+ (*this)(4,1) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(4,2) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(4,4) = cos__q_RH_HAA__;
+ (*this)(4,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk::Type_fr_LF_upperleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(0,2) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,0) = - cos__q_LF_HFE__;
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(3,1) = ((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(3,2) = ((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(3,5) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,0) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(4,1) = ((( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(4,2) = ((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__));
+ (*this)(4,3) = - cos__q_LF_HFE__;
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,0) = ( 0.08 - ( 0.207 * sin__q_LF_HAA__));
+ (*this)(5,1) = ( 0.3735 * sin__q_LF_HAA__);
+ (*this)(5,2) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(5,4) = cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk::Type_fr_RF_upperleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(0,2) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,0) = - cos__q_RF_HFE__;
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(3,1) = ((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(3,2) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(3,5) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,0) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(4,1) = ((( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(4,2) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(4,3) = - cos__q_RF_HFE__;
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,0) = ( 0.08 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(5,1) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(5,2) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(5,4) = cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk::Type_fr_LH_upperleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(0,2) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,0) = - cos__q_LH_HFE__;
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(3,1) = ((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(3,2) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(3,5) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,0) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(4,1) = ((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(4,2) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(4,3) = - cos__q_LH_HFE__;
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,0) = ( 0.08 - ( 0.207 * sin__q_LH_HAA__));
+ (*this)(5,1) = (- 0.3735 * sin__q_LH_HAA__);
+ (*this)(5,2) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(5,4) = cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk::Type_fr_RH_upperleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(0,2) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,0) = - cos__q_RH_HFE__;
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(3,1) = ((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(3,2) = (((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(3,5) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,0) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(4,1) = ((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(4,2) = ((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__));
+ (*this)(4,3) = - cos__q_RH_HFE__;
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,0) = ( 0.08 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(5,1) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(5,2) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(5,4) = cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk::Type_fr_LF_lowerleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,2) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,0) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,1) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(3,2) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,5) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,0) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,1) = (((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(4,2) = (((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(4,3) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,0) = ((( 0.35 * cos__q_LF_HFE__) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(5,1) = (( 0.3735 * sin__q_LF_HAA__) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(5,2) = (( 0.3735 * cos__q_LF_HAA__) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(5,4) = cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk::Type_fr_RF_lowerleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,2) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,0) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,1) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(3,2) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,5) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,0) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,1) = (((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(4,2) = ((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(4,3) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,0) = ((( 0.35 * cos__q_RF_HFE__) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(5,1) = ((( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(5,2) = (( 0.3735 * cos__q_RF_HAA__) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,4) = cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk::Type_fr_LH_lowerleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,2) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,0) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,1) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(3,2) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,5) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,0) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,1) = ((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(4,2) = (((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(4,3) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,0) = ((( 0.35 * cos__q_LH_HFE__) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(5,1) = (((- 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(5,2) = (((- 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,4) = cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk::Type_fr_RH_lowerleg_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,2) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,0) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,1) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(3,2) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,5) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,0) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,1) = ((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(4,2) = ((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(4,3) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,0) = ((( 0.35 * cos__q_RH_HFE__) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(5,1) = ((( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(5,2) = (((- 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,4) = cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM::Type_fr_trunk_X_LF_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,1) = sin__q_LF_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(3,1) = (( 0.207 * sin__q_LF_HAA__) - 0.043);
+ (*this)(4,0) = ( 0.2045 * cos__q_LF_HAA__);
+ (*this)(4,1) = (- 0.2045 * sin__q_LF_HAA__);
+ (*this)(4,2) = ( 0.043 * cos__q_LF_HAA__);
+ (*this)(4,3) = - sin__q_LF_HAA__;
+ (*this)(4,4) = - cos__q_LF_HAA__;
+ (*this)(5,0) = (- 0.2045 * sin__q_LF_HAA__);
+ (*this)(5,1) = (- 0.2045 * cos__q_LF_HAA__);
+ (*this)(5,2) = ( 0.207 - ( 0.043 * sin__q_LF_HAA__));
+ (*this)(5,3) = - cos__q_LF_HAA__;
+ (*this)(5,4) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM::Type_fr_trunk_X_RF_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(3,1) = ( 0.043 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(4,0) = ( 0.2045 * cos__q_RF_HAA__);
+ (*this)(4,1) = (- 0.2045 * sin__q_RF_HAA__);
+ (*this)(4,2) = (- 0.043 * cos__q_RF_HAA__);
+ (*this)(4,3) = sin__q_RF_HAA__;
+ (*this)(4,4) = cos__q_RF_HAA__;
+ (*this)(5,0) = ( 0.2045 * sin__q_RF_HAA__);
+ (*this)(5,1) = ( 0.2045 * cos__q_RF_HAA__);
+ (*this)(5,2) = ( 0.207 - ( 0.043 * sin__q_RF_HAA__));
+ (*this)(5,3) = - cos__q_RF_HAA__;
+ (*this)(5,4) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM::Type_fr_trunk_X_LH_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,1) = sin__q_LH_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(3,1) = (( 0.207 * sin__q_LH_HAA__) - 0.043);
+ (*this)(4,0) = (- 0.2045 * cos__q_LH_HAA__);
+ (*this)(4,1) = ( 0.2045 * sin__q_LH_HAA__);
+ (*this)(4,2) = ( 0.043 * cos__q_LH_HAA__);
+ (*this)(4,3) = - sin__q_LH_HAA__;
+ (*this)(4,4) = - cos__q_LH_HAA__;
+ (*this)(5,0) = ( 0.2045 * sin__q_LH_HAA__);
+ (*this)(5,1) = ( 0.2045 * cos__q_LH_HAA__);
+ (*this)(5,2) = ( 0.207 - ( 0.043 * sin__q_LH_HAA__));
+ (*this)(5,3) = - cos__q_LH_HAA__;
+ (*this)(5,4) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM::Type_fr_trunk_X_RH_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(3,1) = ( 0.043 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(4,0) = (- 0.2045 * cos__q_RH_HAA__);
+ (*this)(4,1) = ( 0.2045 * sin__q_RH_HAA__);
+ (*this)(4,2) = (- 0.043 * cos__q_RH_HAA__);
+ (*this)(4,3) = sin__q_RH_HAA__;
+ (*this)(4,4) = cos__q_RH_HAA__;
+ (*this)(5,0) = (- 0.2045 * sin__q_RH_HAA__);
+ (*this)(5,1) = (- 0.2045 * cos__q_RH_HAA__);
+ (*this)(5,2) = ( 0.207 - ( 0.043 * sin__q_RH_HAA__));
+ (*this)(5,3) = - cos__q_RH_HAA__;
+ (*this)(5,4) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM::Type_fr_trunk_X_LF_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(3,1) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(3,2) = (((( 0.026 * sin__q_LF_HFE__) + ( 0.151 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = - cos__q_LF_HFE__;
+ (*this)(4,0) = (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.026 * cos__q_LF_HAA__));
+ (*this)(4,1) = ((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.151 * cos__q_LF_HAA__));
+ (*this)(4,2) = ((((- 0.151 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.026 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(4,3) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.026 * sin__q_LF_HAA__));
+ (*this)(5,1) = (((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.151 * sin__q_LF_HAA__));
+ (*this)(5,2) = ((((- 0.151 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.026 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(5,3) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(5,4) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM::Type_fr_trunk_X_RF_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(3,1) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(3,2) = (((( 0.026 * sin__q_RF_HFE__) + ( 0.151 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = - cos__q_RF_HFE__;
+ (*this)(4,0) = (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.026 * cos__q_RF_HAA__));
+ (*this)(4,1) = ((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.151 * cos__q_RF_HAA__));
+ (*this)(4,2) = (((( 0.151 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.026 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(4,3) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.026 * sin__q_RF_HAA__));
+ (*this)(5,1) = ((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.151 * sin__q_RF_HAA__));
+ (*this)(5,2) = ((((- 0.151 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.026 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(5,3) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(5,4) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM::Type_fr_trunk_X_LH_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(3,1) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(3,2) = ((((- 0.026 * sin__q_LH_HFE__) + ( 0.151 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = - cos__q_LH_HFE__;
+ (*this)(4,0) = (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.026 * cos__q_LH_HAA__));
+ (*this)(4,1) = (((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.151 * cos__q_LH_HAA__));
+ (*this)(4,2) = ((((- 0.151 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.026 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(4,3) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.026 * sin__q_LH_HAA__));
+ (*this)(5,1) = ((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.151 * sin__q_LH_HAA__));
+ (*this)(5,2) = ((((- 0.151 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.026 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,3) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(5,4) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM::Type_fr_trunk_X_RH_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(3,1) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(3,2) = ((((- 0.026 * sin__q_RH_HFE__) + ( 0.151 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = - cos__q_RH_HFE__;
+ (*this)(4,0) = (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.026 * cos__q_RH_HAA__));
+ (*this)(4,1) = (((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.151 * cos__q_RH_HAA__));
+ (*this)(4,2) = (((( 0.151 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.026 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(4,3) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.026 * sin__q_RH_HAA__));
+ (*this)(5,1) = (((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.151 * sin__q_RH_HAA__));
+ (*this)(5,2) = ((((- 0.151 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.026 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,3) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(5,4) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM::Type_fr_trunk_X_LF_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,1) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,2) = ((((((- 0.125 * sin__q_LF_HFE__) * sin__q_LF_KFE__) + (( 0.125 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + ( 0.35 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,0) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(4,1) = ((((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__)) + ( 0.125 * cos__q_LF_HAA__));
+ (*this)(4,2) = ((((((- 0.125 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(4,3) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(5,1) = ((((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__)) - ( 0.125 * sin__q_LF_HAA__));
+ (*this)(5,2) = ((((((- 0.125 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(5,3) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM::Type_fr_trunk_X_RF_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,1) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(3,2) = (((((((- 0.125 * sin__q_RF_HFE__) - ( 0.001 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((( 0.125 * cos__q_RF_HFE__) - ( 0.001 * sin__q_RF_HFE__)) * cos__q_RF_KFE__)) + ( 0.35 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,0) = (((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - ( 0.001 * cos__q_RF_HAA__));
+ (*this)(4,1) = ((((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.125 * cos__q_RF_HAA__));
+ (*this)(4,2) = ((((((( 0.125 * sin__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.001 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(4,3) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = (((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - ( 0.001 * sin__q_RF_HAA__));
+ (*this)(5,1) = (((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.125 * sin__q_RF_HAA__));
+ (*this)(5,2) = ((((((( 0.001 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.125 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((((- 0.125 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(5,3) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM::Type_fr_trunk_X_LH_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,1) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,2) = ((((((( 0.001 * cos__q_LH_HFE__) - ( 0.125 * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((( 0.001 * sin__q_LH_HFE__) + ( 0.125 * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + ( 0.35 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,0) = ((((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + ( 0.001 * cos__q_LH_HAA__));
+ (*this)(4,1) = (((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__)) + ( 0.125 * cos__q_LH_HAA__));
+ (*this)(4,2) = (((((((- 0.001 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.001 * sin__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.125 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(4,3) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = (((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) - ( 0.001 * sin__q_LH_HAA__));
+ (*this)(5,1) = ((((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__)) - ( 0.125 * sin__q_LH_HAA__));
+ (*this)(5,2) = (((((((- 0.001 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.001 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.125 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,3) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM::Type_fr_trunk_X_RH_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,1) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(3,2) = ((((((( 5.0E-4 * cos__q_RH_HFE__) - ( 0.1254 * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((( 5.0E-4 * sin__q_RH_HFE__) + ( 0.1254 * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + ( 0.35 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,0) = ((((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + ( 5.0E-4 * cos__q_RH_HAA__));
+ (*this)(4,1) = (((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.1254 * cos__q_RH_HAA__));
+ (*this)(4,2) = ((((((( 5.0E-4 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 0.1254 * sin__q_RH_HAA__) * sin__q_RH_HFE__) - (( 5.0E-4 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(4,3) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = ((((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + ( 5.0E-4 * sin__q_RH_HAA__));
+ (*this)(5,1) = (((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.1254 * sin__q_RH_HAA__));
+ (*this)(5,2) = (((((((- 5.0E-4 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.1254 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,3) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg::Type_fr_LF_foot_X_fr_LF_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0.33;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.33;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg::Type_fr_RF_foot_X_fr_RF_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0.33;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.33;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg::Type_fr_LH_foot_X_fr_LH_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0.33;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.33;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg::Type_fr_RH_foot_X_fr_RH_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0.33;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.33;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot::Type_fr_trunk_X_fr_LF_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,1) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,2) = ((((((- 0.33 * sin__q_LF_HFE__) * sin__q_LF_KFE__) + (( 0.33 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + ( 0.35 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,0) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(4,1) = ((((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__)) + ( 0.33 * cos__q_LF_HAA__));
+ (*this)(4,2) = ((((((- 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(4,3) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(5,1) = ((((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__)) - ( 0.33 * sin__q_LF_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(5,3) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot::Type_fr_trunk_X_fr_RF_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,1) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(3,2) = ((((((- 0.33 * sin__q_RF_HFE__) * sin__q_RF_KFE__) + (( 0.33 * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + ( 0.35 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,0) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(4,1) = ((((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * cos__q_RF_HAA__));
+ (*this)(4,2) = (((((( 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(4,3) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(5,1) = (((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * sin__q_RF_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(5,3) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot::Type_fr_trunk_X_fr_LH_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,1) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,2) = ((((((- 0.33 * sin__q_LH_HFE__) * sin__q_LH_KFE__) + (( 0.33 * cos__q_LH_HFE__) * cos__q_LH_KFE__)) + ( 0.35 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,0) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(4,1) = (((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__)) + ( 0.33 * cos__q_LH_HAA__));
+ (*this)(4,2) = ((((((- 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(4,3) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(5,1) = ((((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__)) - ( 0.33 * sin__q_LH_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,3) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot::Type_fr_trunk_X_fr_RH_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,1) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(3,2) = ((((((- 0.33 * sin__q_RH_HFE__) * sin__q_RH_KFE__) + (( 0.33 * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + ( 0.35 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,0) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(4,1) = (((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * cos__q_RH_HAA__));
+ (*this)(4,2) = (((((( 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(4,3) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(5,1) = (((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * sin__q_RH_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,3) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk::Type_fr_LF_foot_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,2) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,0) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,1) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(3,2) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,5) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,0) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,1) = ((((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__)) + ( 0.33 * cos__q_LF_HAA__));
+ (*this)(4,2) = ((((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__)) - ( 0.33 * sin__q_LF_HAA__));
+ (*this)(4,3) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_LF_HFE__) * sin__q_LF_KFE__) + (( 0.33 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + ( 0.35 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(5,1) = ((((((- 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(5,4) = cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk::Type_fr_RF_foot_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,2) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,0) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,1) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(3,2) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,5) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,0) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,1) = ((((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * cos__q_RF_HAA__));
+ (*this)(4,2) = (((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * sin__q_RF_HAA__));
+ (*this)(4,3) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_RF_HFE__) * sin__q_RF_KFE__) + (( 0.33 * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + ( 0.35 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(5,1) = (((((( 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(5,4) = cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk::Type_fr_LH_foot_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,2) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,0) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,1) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(3,2) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,5) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,0) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,1) = (((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__)) + ( 0.33 * cos__q_LH_HAA__));
+ (*this)(4,2) = ((((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__)) - ( 0.33 * sin__q_LH_HAA__));
+ (*this)(4,3) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_LH_HFE__) * sin__q_LH_KFE__) + (( 0.33 * cos__q_LH_HFE__) * cos__q_LH_KFE__)) + ( 0.35 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(5,1) = ((((((- 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,4) = cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk::Type_fr_RH_foot_X_fr_trunk()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,2) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,0) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,1) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(3,2) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,5) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,0) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,1) = (((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * cos__q_RH_HAA__));
+ (*this)(4,2) = (((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * sin__q_RH_HAA__));
+ (*this)(4,3) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,0) = ((((((- 0.33 * sin__q_RH_HFE__) * sin__q_RH_KFE__) + (( 0.33 * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + ( 0.35 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(5,1) = (((((( 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(5,2) = ((((((- 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,4) = cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA::Type_fr_trunk_X_fr_LF_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = - 0.207;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0.3735;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.3735;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA::Type_fr_trunk_X_fr_RF_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0.207;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0.3735;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0.3735;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA::Type_fr_trunk_X_fr_LH_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = - 0.207;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = - 0.3735;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0.3735;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA::Type_fr_trunk_X_fr_RH_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0.207;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = - 0.3735;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.3735;
+ (*this)(5,2) = 0.207;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE::Type_fr_trunk_X_fr_LF_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_LF_HAA__));
+ (*this)(4,0) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(4,1) = ( 0.08 * cos__q_LF_HAA__);
+ (*this)(4,2) = ( 0.3735 * sin__q_LF_HAA__);
+ (*this)(4,3) = - sin__q_LF_HAA__;
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(5,1) = ( 0.207 - ( 0.08 * sin__q_LF_HAA__));
+ (*this)(5,2) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(5,3) = - cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE::Type_fr_trunk_X_fr_RF_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(4,0) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(4,1) = ( 0.08 * cos__q_RF_HAA__);
+ (*this)(4,2) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(4,3) = sin__q_RF_HAA__;
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = ( 0.3735 * sin__q_RF_HAA__);
+ (*this)(5,1) = (( 0.08 * sin__q_RF_HAA__) - 0.207);
+ (*this)(5,2) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(5,3) = - cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE::Type_fr_trunk_X_fr_LH_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_LH_HAA__));
+ (*this)(4,0) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(4,1) = ( 0.08 * cos__q_LH_HAA__);
+ (*this)(4,2) = (- 0.3735 * sin__q_LH_HAA__);
+ (*this)(4,3) = - sin__q_LH_HAA__;
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(5,1) = ( 0.207 - ( 0.08 * sin__q_LH_HAA__));
+ (*this)(5,2) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(5,3) = - cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE::Type_fr_trunk_X_fr_RH_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(3,2) = ( 0.08 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(4,0) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(4,1) = ( 0.08 * cos__q_RH_HAA__);
+ (*this)(4,2) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(4,3) = sin__q_RH_HAA__;
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = (- 0.3735 * sin__q_RH_HAA__);
+ (*this)(5,1) = (( 0.08 * sin__q_RH_HAA__) - 0.207);
+ (*this)(5,2) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(5,3) = - cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE::Type_fr_trunk_X_fr_LF_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(3,1) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(3,2) = ((( 0.35 * cos__q_LF_HFE__) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = - cos__q_LF_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(4,1) = ((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__));
+ (*this)(4,2) = (( 0.3735 * sin__q_LF_HAA__) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(4,3) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,0) = ((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(5,1) = (((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__));
+ (*this)(5,2) = (( 0.3735 * cos__q_LF_HAA__) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(5,3) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(5,4) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE::Type_fr_trunk_X_fr_RF_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(3,1) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(3,2) = ((( 0.35 * cos__q_RF_HFE__) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = - cos__q_RF_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(4,1) = ((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__));
+ (*this)(4,2) = ((( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(4,3) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,0) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(5,1) = ((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__));
+ (*this)(5,2) = (( 0.3735 * cos__q_RF_HAA__) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(5,3) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(5,4) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE::Type_fr_trunk_X_fr_LH_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(3,0) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(3,1) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(3,2) = ((( 0.35 * cos__q_LH_HFE__) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = - cos__q_LH_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(4,1) = (((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__));
+ (*this)(4,2) = (((- 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(4,3) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,0) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(5,1) = ((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__));
+ (*this)(5,2) = (((- 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(5,3) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(5,4) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE::Type_fr_trunk_X_fr_RH_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(3,0) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(3,1) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(3,2) = ((( 0.35 * cos__q_RH_HFE__) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = - cos__q_RH_HFE__;
+ (*this)(4,0) = ((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(4,1) = (((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__));
+ (*this)(4,2) = ((( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(4,3) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,0) = (((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(5,1) = (((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__));
+ (*this)(5,2) = (((- 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(5,3) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(5,4) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly::Type_fr_LF_upperleg_X_fr_LF_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = - 0.08;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+
+ (*this)(0,0) = cos__q_LF_HFE__;
+ (*this)(0,2) = sin__q_LF_HFE__;
+ (*this)(1,0) = - sin__q_LF_HFE__;
+ (*this)(1,2) = cos__q_LF_HFE__;
+ (*this)(3,1) = (- 0.08 * sin__q_LF_HFE__);
+ (*this)(3,3) = cos__q_LF_HFE__;
+ (*this)(3,5) = sin__q_LF_HFE__;
+ (*this)(4,1) = (- 0.08 * cos__q_LF_HFE__);
+ (*this)(4,3) = - sin__q_LF_HFE__;
+ (*this)(4,5) = cos__q_LF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg::Type_fr_LF_hipassembly_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = - 0.08;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+
+ (*this)(0,0) = cos__q_LF_HFE__;
+ (*this)(0,1) = - sin__q_LF_HFE__;
+ (*this)(2,0) = sin__q_LF_HFE__;
+ (*this)(2,1) = cos__q_LF_HFE__;
+ (*this)(3,3) = cos__q_LF_HFE__;
+ (*this)(3,4) = - sin__q_LF_HFE__;
+ (*this)(4,0) = (- 0.08 * sin__q_LF_HFE__);
+ (*this)(4,1) = (- 0.08 * cos__q_LF_HFE__);
+ (*this)(5,3) = sin__q_LF_HFE__;
+ (*this)(5,4) = cos__q_LF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg::Type_fr_LF_lowerleg_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.35;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+
+ (*this)(0,0) = cos__q_LF_KFE__;
+ (*this)(0,1) = sin__q_LF_KFE__;
+ (*this)(1,0) = - sin__q_LF_KFE__;
+ (*this)(1,1) = cos__q_LF_KFE__;
+ (*this)(3,2) = ( 0.35 * sin__q_LF_KFE__);
+ (*this)(3,3) = cos__q_LF_KFE__;
+ (*this)(3,4) = sin__q_LF_KFE__;
+ (*this)(4,2) = ( 0.35 * cos__q_LF_KFE__);
+ (*this)(4,3) = - sin__q_LF_KFE__;
+ (*this)(4,4) = cos__q_LF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg::Type_fr_LF_upperleg_X_fr_LF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.35;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+
+ (*this)(0,0) = cos__q_LF_KFE__;
+ (*this)(0,1) = - sin__q_LF_KFE__;
+ (*this)(1,0) = sin__q_LF_KFE__;
+ (*this)(1,1) = cos__q_LF_KFE__;
+ (*this)(3,3) = cos__q_LF_KFE__;
+ (*this)(3,4) = - sin__q_LF_KFE__;
+ (*this)(4,3) = sin__q_LF_KFE__;
+ (*this)(4,4) = cos__q_LF_KFE__;
+ (*this)(5,0) = ( 0.35 * sin__q_LF_KFE__);
+ (*this)(5,1) = ( 0.35 * cos__q_LF_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly::Type_fr_RF_upperleg_X_fr_RF_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.08;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+
+ (*this)(0,0) = cos__q_RF_HFE__;
+ (*this)(0,2) = - sin__q_RF_HFE__;
+ (*this)(1,0) = - sin__q_RF_HFE__;
+ (*this)(1,2) = - cos__q_RF_HFE__;
+ (*this)(3,1) = ( 0.08 * sin__q_RF_HFE__);
+ (*this)(3,3) = cos__q_RF_HFE__;
+ (*this)(3,5) = - sin__q_RF_HFE__;
+ (*this)(4,1) = ( 0.08 * cos__q_RF_HFE__);
+ (*this)(4,3) = - sin__q_RF_HFE__;
+ (*this)(4,5) = - cos__q_RF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg::Type_fr_RF_hipassembly_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.08;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+
+ (*this)(0,0) = cos__q_RF_HFE__;
+ (*this)(0,1) = - sin__q_RF_HFE__;
+ (*this)(2,0) = - sin__q_RF_HFE__;
+ (*this)(2,1) = - cos__q_RF_HFE__;
+ (*this)(3,3) = cos__q_RF_HFE__;
+ (*this)(3,4) = - sin__q_RF_HFE__;
+ (*this)(4,0) = ( 0.08 * sin__q_RF_HFE__);
+ (*this)(4,1) = ( 0.08 * cos__q_RF_HFE__);
+ (*this)(5,3) = - sin__q_RF_HFE__;
+ (*this)(5,4) = - cos__q_RF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg::Type_fr_RF_lowerleg_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.35;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+
+ (*this)(0,0) = cos__q_RF_KFE__;
+ (*this)(0,1) = sin__q_RF_KFE__;
+ (*this)(1,0) = - sin__q_RF_KFE__;
+ (*this)(1,1) = cos__q_RF_KFE__;
+ (*this)(3,2) = ( 0.35 * sin__q_RF_KFE__);
+ (*this)(3,3) = cos__q_RF_KFE__;
+ (*this)(3,4) = sin__q_RF_KFE__;
+ (*this)(4,2) = ( 0.35 * cos__q_RF_KFE__);
+ (*this)(4,3) = - sin__q_RF_KFE__;
+ (*this)(4,4) = cos__q_RF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg::Type_fr_RF_upperleg_X_fr_RF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.35;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+
+ (*this)(0,0) = cos__q_RF_KFE__;
+ (*this)(0,1) = - sin__q_RF_KFE__;
+ (*this)(1,0) = sin__q_RF_KFE__;
+ (*this)(1,1) = cos__q_RF_KFE__;
+ (*this)(3,3) = cos__q_RF_KFE__;
+ (*this)(3,4) = - sin__q_RF_KFE__;
+ (*this)(4,3) = sin__q_RF_KFE__;
+ (*this)(4,4) = cos__q_RF_KFE__;
+ (*this)(5,0) = ( 0.35 * sin__q_RF_KFE__);
+ (*this)(5,1) = ( 0.35 * cos__q_RF_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly::Type_fr_LH_upperleg_X_fr_LH_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = - 0.08;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+
+ (*this)(0,0) = cos__q_LH_HFE__;
+ (*this)(0,2) = sin__q_LH_HFE__;
+ (*this)(1,0) = - sin__q_LH_HFE__;
+ (*this)(1,2) = cos__q_LH_HFE__;
+ (*this)(3,1) = (- 0.08 * sin__q_LH_HFE__);
+ (*this)(3,3) = cos__q_LH_HFE__;
+ (*this)(3,5) = sin__q_LH_HFE__;
+ (*this)(4,1) = (- 0.08 * cos__q_LH_HFE__);
+ (*this)(4,3) = - sin__q_LH_HFE__;
+ (*this)(4,5) = cos__q_LH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg::Type_fr_LH_hipassembly_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = - 0.08;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+
+ (*this)(0,0) = cos__q_LH_HFE__;
+ (*this)(0,1) = - sin__q_LH_HFE__;
+ (*this)(2,0) = sin__q_LH_HFE__;
+ (*this)(2,1) = cos__q_LH_HFE__;
+ (*this)(3,3) = cos__q_LH_HFE__;
+ (*this)(3,4) = - sin__q_LH_HFE__;
+ (*this)(4,0) = (- 0.08 * sin__q_LH_HFE__);
+ (*this)(4,1) = (- 0.08 * cos__q_LH_HFE__);
+ (*this)(5,3) = sin__q_LH_HFE__;
+ (*this)(5,4) = cos__q_LH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg::Type_fr_LH_lowerleg_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.35;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+
+ (*this)(0,0) = cos__q_LH_KFE__;
+ (*this)(0,1) = sin__q_LH_KFE__;
+ (*this)(1,0) = - sin__q_LH_KFE__;
+ (*this)(1,1) = cos__q_LH_KFE__;
+ (*this)(3,2) = ( 0.35 * sin__q_LH_KFE__);
+ (*this)(3,3) = cos__q_LH_KFE__;
+ (*this)(3,4) = sin__q_LH_KFE__;
+ (*this)(4,2) = ( 0.35 * cos__q_LH_KFE__);
+ (*this)(4,3) = - sin__q_LH_KFE__;
+ (*this)(4,4) = cos__q_LH_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg::Type_fr_LH_upperleg_X_fr_LH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.35;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+
+ (*this)(0,0) = cos__q_LH_KFE__;
+ (*this)(0,1) = - sin__q_LH_KFE__;
+ (*this)(1,0) = sin__q_LH_KFE__;
+ (*this)(1,1) = cos__q_LH_KFE__;
+ (*this)(3,3) = cos__q_LH_KFE__;
+ (*this)(3,4) = - sin__q_LH_KFE__;
+ (*this)(4,3) = sin__q_LH_KFE__;
+ (*this)(4,4) = cos__q_LH_KFE__;
+ (*this)(5,0) = ( 0.35 * sin__q_LH_KFE__);
+ (*this)(5,1) = ( 0.35 * cos__q_LH_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly::Type_fr_RH_upperleg_X_fr_RH_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.08;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+
+ (*this)(0,0) = cos__q_RH_HFE__;
+ (*this)(0,2) = - sin__q_RH_HFE__;
+ (*this)(1,0) = - sin__q_RH_HFE__;
+ (*this)(1,2) = - cos__q_RH_HFE__;
+ (*this)(3,1) = ( 0.08 * sin__q_RH_HFE__);
+ (*this)(3,3) = cos__q_RH_HFE__;
+ (*this)(3,5) = - sin__q_RH_HFE__;
+ (*this)(4,1) = ( 0.08 * cos__q_RH_HFE__);
+ (*this)(4,3) = - sin__q_RH_HFE__;
+ (*this)(4,5) = - cos__q_RH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg::Type_fr_RH_hipassembly_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0.08;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+
+ (*this)(0,0) = cos__q_RH_HFE__;
+ (*this)(0,1) = - sin__q_RH_HFE__;
+ (*this)(2,0) = - sin__q_RH_HFE__;
+ (*this)(2,1) = - cos__q_RH_HFE__;
+ (*this)(3,3) = cos__q_RH_HFE__;
+ (*this)(3,4) = - sin__q_RH_HFE__;
+ (*this)(4,0) = ( 0.08 * sin__q_RH_HFE__);
+ (*this)(4,1) = ( 0.08 * cos__q_RH_HFE__);
+ (*this)(5,3) = - sin__q_RH_HFE__;
+ (*this)(5,4) = - cos__q_RH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg::Type_fr_RH_lowerleg_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = - 0.35;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+
+ (*this)(0,0) = cos__q_RH_KFE__;
+ (*this)(0,1) = sin__q_RH_KFE__;
+ (*this)(1,0) = - sin__q_RH_KFE__;
+ (*this)(1,1) = cos__q_RH_KFE__;
+ (*this)(3,2) = ( 0.35 * sin__q_RH_KFE__);
+ (*this)(3,3) = cos__q_RH_KFE__;
+ (*this)(3,4) = sin__q_RH_KFE__;
+ (*this)(4,2) = ( 0.35 * cos__q_RH_KFE__);
+ (*this)(4,3) = - sin__q_RH_KFE__;
+ (*this)(4,4) = cos__q_RH_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg::Type_fr_RH_upperleg_X_fr_RH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = - 0.35;
+ (*this)(4,5) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg& iit::HyQ::tpl::MotionTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+
+ (*this)(0,0) = cos__q_RH_KFE__;
+ (*this)(0,1) = - sin__q_RH_KFE__;
+ (*this)(1,0) = sin__q_RH_KFE__;
+ (*this)(1,1) = cos__q_RH_KFE__;
+ (*this)(3,3) = cos__q_RH_KFE__;
+ (*this)(3,4) = - sin__q_RH_KFE__;
+ (*this)(4,3) = sin__q_RH_KFE__;
+ (*this)(4,4) = cos__q_RH_KFE__;
+ (*this)(5,0) = ( 0.35 * sin__q_RH_KFE__);
+ (*this)(5,1) = ( 0.35 * cos__q_RH_KFE__);
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly::Type_fr_trunk_X_fr_LF_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,3) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(0,4) = ( 0.207 * sin__q_LF_HAA__);
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(1,3) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(1,4) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,1) = sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(2,4) = (- 0.3735 * cos__q_LF_HAA__);
+ (*this)(4,3) = - sin__q_LF_HAA__;
+ (*this)(4,4) = - cos__q_LF_HAA__;
+ (*this)(5,3) = - cos__q_LF_HAA__;
+ (*this)(5,4) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly::Type_fr_trunk_X_fr_RF_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,3) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(0,4) = (- 0.207 * sin__q_RF_HAA__);
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,3) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(1,4) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.3735 * sin__q_RF_HAA__);
+ (*this)(2,4) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(4,3) = sin__q_RF_HAA__;
+ (*this)(4,4) = cos__q_RF_HAA__;
+ (*this)(5,3) = - cos__q_RF_HAA__;
+ (*this)(5,4) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly::Type_fr_trunk_X_fr_LH_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,3) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(0,4) = ( 0.207 * sin__q_LH_HAA__);
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(1,3) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(1,4) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,1) = sin__q_LH_HAA__;
+ (*this)(2,3) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(2,4) = ( 0.3735 * cos__q_LH_HAA__);
+ (*this)(4,3) = - sin__q_LH_HAA__;
+ (*this)(4,4) = - cos__q_LH_HAA__;
+ (*this)(5,3) = - cos__q_LH_HAA__;
+ (*this)(5,4) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly::Type_fr_trunk_X_fr_RH_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,3) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(0,4) = (- 0.207 * sin__q_RH_HAA__);
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,3) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(1,4) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(2,3) = (- 0.3735 * sin__q_RH_HAA__);
+ (*this)(2,4) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(4,3) = sin__q_RH_HAA__;
+ (*this)(4,4) = cos__q_RH_HAA__;
+ (*this)(5,3) = - cos__q_RH_HAA__;
+ (*this)(5,4) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg::Type_fr_trunk_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(0,3) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(0,4) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_LF_HAA__));
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(1,4) = ((( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(1,5) = ( 0.3735 * sin__q_LF_HAA__);
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = ((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(2,4) = ((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__));
+ (*this)(2,5) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = - cos__q_LF_HFE__;
+ (*this)(4,3) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(5,4) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg::Type_fr_trunk_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(0,3) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(0,4) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(1,4) = ((( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(1,5) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(2,4) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(2,5) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = - cos__q_RF_HFE__;
+ (*this)(4,3) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(5,4) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg::Type_fr_trunk_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(0,3) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(0,4) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_LH_HAA__));
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(1,4) = ((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(1,5) = (- 0.3735 * sin__q_LH_HAA__);
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(2,4) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(2,5) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = - cos__q_LH_HFE__;
+ (*this)(4,3) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(5,4) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg::Type_fr_trunk_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(0,3) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(0,4) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(1,4) = ((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(1,5) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(2,4) = ((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__));
+ (*this)(2,5) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = - cos__q_RH_HFE__;
+ (*this)(4,3) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(5,4) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg::Type_fr_trunk_X_fr_LF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,4) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,5) = ((( 0.35 * cos__q_LF_HFE__) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(1,4) = (((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(1,5) = (( 0.3735 * sin__q_LF_HAA__) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(2,4) = (((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(2,5) = (( 0.3735 * cos__q_LF_HAA__) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,3) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg::Type_fr_trunk_X_fr_RF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,4) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,5) = ((( 0.35 * cos__q_RF_HFE__) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(1,4) = (((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(1,5) = ((( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(2,4) = ((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(2,5) = (( 0.3735 * cos__q_RF_HAA__) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,3) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg::Type_fr_trunk_X_fr_LH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,4) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,5) = ((( 0.35 * cos__q_LH_HFE__) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(1,4) = ((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(1,5) = (((- 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(2,4) = (((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(2,5) = (((- 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,3) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg::Type_fr_trunk_X_fr_RH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,4) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,5) = ((( 0.35 * cos__q_RH_HFE__) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(1,4) = ((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(1,5) = ((( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(2,4) = ((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(2,5) = (((- 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,3) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk::Type_fr_LF_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,1) = - sin__q_LF_HAA__;
+ (*this)(0,2) = - cos__q_LF_HAA__;
+ (*this)(0,3) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(0,4) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(0,5) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(1,2) = sin__q_LF_HAA__;
+ (*this)(1,3) = ( 0.207 * sin__q_LF_HAA__);
+ (*this)(1,4) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(1,5) = (- 0.3735 * cos__q_LF_HAA__);
+ (*this)(3,4) = - sin__q_LF_HAA__;
+ (*this)(3,5) = - cos__q_LF_HAA__;
+ (*this)(4,4) = - cos__q_LF_HAA__;
+ (*this)(4,5) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk::Type_fr_RF_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,1) = sin__q_RF_HAA__;
+ (*this)(0,2) = - cos__q_RF_HAA__;
+ (*this)(0,3) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(0,4) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(0,5) = ( 0.3735 * sin__q_RF_HAA__);
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,2) = sin__q_RF_HAA__;
+ (*this)(1,3) = (- 0.207 * sin__q_RF_HAA__);
+ (*this)(1,4) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(1,5) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(3,4) = sin__q_RF_HAA__;
+ (*this)(3,5) = - cos__q_RF_HAA__;
+ (*this)(4,4) = cos__q_RF_HAA__;
+ (*this)(4,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk::Type_fr_LH_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,1) = - sin__q_LH_HAA__;
+ (*this)(0,2) = - cos__q_LH_HAA__;
+ (*this)(0,3) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(0,4) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(0,5) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(1,2) = sin__q_LH_HAA__;
+ (*this)(1,3) = ( 0.207 * sin__q_LH_HAA__);
+ (*this)(1,4) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(1,5) = ( 0.3735 * cos__q_LH_HAA__);
+ (*this)(3,4) = - sin__q_LH_HAA__;
+ (*this)(3,5) = - cos__q_LH_HAA__;
+ (*this)(4,4) = - cos__q_LH_HAA__;
+ (*this)(4,5) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk::Type_fr_RH_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,1) = sin__q_RH_HAA__;
+ (*this)(0,2) = - cos__q_RH_HAA__;
+ (*this)(0,3) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(0,4) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(0,5) = (- 0.3735 * sin__q_RH_HAA__);
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,2) = sin__q_RH_HAA__;
+ (*this)(1,3) = (- 0.207 * sin__q_RH_HAA__);
+ (*this)(1,4) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(1,5) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(3,4) = sin__q_RH_HAA__;
+ (*this)(3,5) = - cos__q_RH_HAA__;
+ (*this)(4,4) = cos__q_RH_HAA__;
+ (*this)(4,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk::Type_fr_LF_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(0,2) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(0,3) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(0,4) = ((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(0,5) = ((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(1,0) = - cos__q_LF_HFE__;
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,3) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(1,4) = ((( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(1,5) = ((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = ( 0.08 - ( 0.207 * sin__q_LF_HAA__));
+ (*this)(2,4) = ( 0.3735 * sin__q_LF_HAA__);
+ (*this)(2,5) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(3,5) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,3) = - cos__q_LF_HFE__;
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,4) = cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk::Type_fr_RF_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(0,2) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(0,3) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(0,4) = ((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(0,5) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(1,0) = - cos__q_RF_HFE__;
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,3) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(1,4) = ((( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(1,5) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.08 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(2,4) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(2,5) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(3,5) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,3) = - cos__q_RF_HFE__;
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,4) = cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk::Type_fr_LH_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(0,2) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(0,3) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(0,4) = ((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(0,5) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(1,0) = - cos__q_LH_HFE__;
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,3) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(1,4) = ((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(1,5) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ( 0.08 - ( 0.207 * sin__q_LH_HAA__));
+ (*this)(2,4) = (- 0.3735 * sin__q_LH_HAA__);
+ (*this)(2,5) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(3,5) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,3) = - cos__q_LH_HFE__;
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,4) = cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk::Type_fr_RH_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(0,2) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(0,3) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(0,4) = ((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(0,5) = (((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(1,0) = - cos__q_RH_HFE__;
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,3) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(1,4) = ((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(1,5) = ((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ( 0.08 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(2,4) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(2,5) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(3,5) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,3) = - cos__q_RH_HFE__;
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,4) = cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk::Type_fr_LF_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,2) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,4) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(0,5) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(1,0) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,3) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,4) = (((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(1,5) = (((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = ((( 0.35 * cos__q_LF_HFE__) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(2,4) = (( 0.3735 * sin__q_LF_HAA__) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(2,5) = (( 0.3735 * cos__q_LF_HAA__) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,5) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,3) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk::Type_fr_RF_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,2) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,4) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(0,5) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(1,0) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,3) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,4) = (((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(1,5) = ((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((( 0.35 * cos__q_RF_HFE__) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(2,4) = ((( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,5) = (( 0.3735 * cos__q_RF_HAA__) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,5) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,3) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk::Type_fr_LH_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,2) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,4) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(0,5) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(1,0) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,3) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,4) = ((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(1,5) = (((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((( 0.35 * cos__q_LH_HFE__) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(2,4) = (((- 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,5) = (((- 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,5) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,3) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk::Type_fr_RH_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,2) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,4) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(0,5) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(1,0) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,3) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,4) = ((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(1,5) = ((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ((( 0.35 * cos__q_RH_HFE__) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(2,4) = ((( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,5) = (((- 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,5) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,3) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM::Type_fr_trunk_X_LF_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,3) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(0,4) = (( 0.207 * sin__q_LF_HAA__) - 0.043);
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(1,3) = ( 0.2045 * cos__q_LF_HAA__);
+ (*this)(1,4) = (- 0.2045 * sin__q_LF_HAA__);
+ (*this)(1,5) = ( 0.043 * cos__q_LF_HAA__);
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,1) = sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.2045 * sin__q_LF_HAA__);
+ (*this)(2,4) = (- 0.2045 * cos__q_LF_HAA__);
+ (*this)(2,5) = ( 0.207 - ( 0.043 * sin__q_LF_HAA__));
+ (*this)(4,3) = - sin__q_LF_HAA__;
+ (*this)(4,4) = - cos__q_LF_HAA__;
+ (*this)(5,3) = - cos__q_LF_HAA__;
+ (*this)(5,4) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM::Type_fr_trunk_X_RF_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,3) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(0,4) = ( 0.043 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,3) = ( 0.2045 * cos__q_RF_HAA__);
+ (*this)(1,4) = (- 0.2045 * sin__q_RF_HAA__);
+ (*this)(1,5) = (- 0.043 * cos__q_RF_HAA__);
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.2045 * sin__q_RF_HAA__);
+ (*this)(2,4) = ( 0.2045 * cos__q_RF_HAA__);
+ (*this)(2,5) = ( 0.207 - ( 0.043 * sin__q_RF_HAA__));
+ (*this)(4,3) = sin__q_RF_HAA__;
+ (*this)(4,4) = cos__q_RF_HAA__;
+ (*this)(5,3) = - cos__q_RF_HAA__;
+ (*this)(5,4) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM::Type_fr_trunk_X_LH_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,3) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(0,4) = (( 0.207 * sin__q_LH_HAA__) - 0.043);
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(1,3) = (- 0.2045 * cos__q_LH_HAA__);
+ (*this)(1,4) = ( 0.2045 * sin__q_LH_HAA__);
+ (*this)(1,5) = ( 0.043 * cos__q_LH_HAA__);
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,1) = sin__q_LH_HAA__;
+ (*this)(2,3) = ( 0.2045 * sin__q_LH_HAA__);
+ (*this)(2,4) = ( 0.2045 * cos__q_LH_HAA__);
+ (*this)(2,5) = ( 0.207 - ( 0.043 * sin__q_LH_HAA__));
+ (*this)(4,3) = - sin__q_LH_HAA__;
+ (*this)(4,4) = - cos__q_LH_HAA__;
+ (*this)(5,3) = - cos__q_LH_HAA__;
+ (*this)(5,4) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM::Type_fr_trunk_X_RH_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,3) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(0,4) = ( 0.043 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,3) = (- 0.2045 * cos__q_RH_HAA__);
+ (*this)(1,4) = ( 0.2045 * sin__q_RH_HAA__);
+ (*this)(1,5) = (- 0.043 * cos__q_RH_HAA__);
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(2,3) = (- 0.2045 * sin__q_RH_HAA__);
+ (*this)(2,4) = (- 0.2045 * cos__q_RH_HAA__);
+ (*this)(2,5) = ( 0.207 - ( 0.043 * sin__q_RH_HAA__));
+ (*this)(4,3) = sin__q_RH_HAA__;
+ (*this)(4,4) = cos__q_RH_HAA__;
+ (*this)(5,3) = - cos__q_RH_HAA__;
+ (*this)(5,4) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM::Type_fr_trunk_X_LF_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(0,3) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(0,4) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(0,5) = (((( 0.026 * sin__q_LF_HFE__) + ( 0.151 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.026 * cos__q_LF_HAA__));
+ (*this)(1,4) = ((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.151 * cos__q_LF_HAA__));
+ (*this)(1,5) = ((((- 0.151 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.026 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.026 * sin__q_LF_HAA__));
+ (*this)(2,4) = (((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.151 * sin__q_LF_HAA__));
+ (*this)(2,5) = ((((- 0.151 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.026 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = - cos__q_LF_HFE__;
+ (*this)(4,3) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(5,4) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM::Type_fr_trunk_X_RF_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(0,3) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(0,4) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(0,5) = (((( 0.026 * sin__q_RF_HFE__) + ( 0.151 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.026 * cos__q_RF_HAA__));
+ (*this)(1,4) = ((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.151 * cos__q_RF_HAA__));
+ (*this)(1,5) = (((( 0.151 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.026 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.026 * sin__q_RF_HAA__));
+ (*this)(2,4) = ((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.151 * sin__q_RF_HAA__));
+ (*this)(2,5) = ((((- 0.151 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.026 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = - cos__q_RF_HFE__;
+ (*this)(4,3) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(5,4) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM::Type_fr_trunk_X_LH_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(0,3) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(0,4) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(0,5) = ((((- 0.026 * sin__q_LH_HFE__) + ( 0.151 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.026 * cos__q_LH_HAA__));
+ (*this)(1,4) = (((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.151 * cos__q_LH_HAA__));
+ (*this)(1,5) = ((((- 0.151 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.026 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.026 * sin__q_LH_HAA__));
+ (*this)(2,4) = ((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.151 * sin__q_LH_HAA__));
+ (*this)(2,5) = ((((- 0.151 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.026 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = - cos__q_LH_HFE__;
+ (*this)(4,3) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(5,4) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM::Type_fr_trunk_X_RH_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(0,3) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(0,4) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(0,5) = ((((- 0.026 * sin__q_RH_HFE__) + ( 0.151 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.026 * cos__q_RH_HAA__));
+ (*this)(1,4) = (((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.151 * cos__q_RH_HAA__));
+ (*this)(1,5) = (((( 0.151 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.026 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.026 * sin__q_RH_HAA__));
+ (*this)(2,4) = (((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.151 * sin__q_RH_HAA__));
+ (*this)(2,5) = ((((- 0.151 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.026 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = - cos__q_RH_HFE__;
+ (*this)(4,3) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(5,4) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM::Type_fr_trunk_X_LF_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,4) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,5) = ((((((- 0.125 * sin__q_LF_HFE__) * sin__q_LF_KFE__) + (( 0.125 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + ( 0.35 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(1,4) = ((((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__)) + ( 0.125 * cos__q_LF_HAA__));
+ (*this)(1,5) = ((((((- 0.125 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(2,4) = ((((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__)) - ( 0.125 * sin__q_LF_HAA__));
+ (*this)(2,5) = ((((((- 0.125 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,3) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM::Type_fr_trunk_X_RF_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,4) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,5) = (((((((- 0.125 * sin__q_RF_HFE__) - ( 0.001 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((( 0.125 * cos__q_RF_HFE__) - ( 0.001 * sin__q_RF_HFE__)) * cos__q_RF_KFE__)) + ( 0.35 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - ( 0.001 * cos__q_RF_HAA__));
+ (*this)(1,4) = ((((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.125 * cos__q_RF_HAA__));
+ (*this)(1,5) = ((((((( 0.125 * sin__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.001 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - ( 0.001 * sin__q_RF_HAA__));
+ (*this)(2,4) = (((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.125 * sin__q_RF_HAA__));
+ (*this)(2,5) = ((((((( 0.001 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.125 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + ((((- 0.125 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,3) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM::Type_fr_trunk_X_LH_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,4) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,5) = ((((((( 0.001 * cos__q_LH_HFE__) - ( 0.125 * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((( 0.001 * sin__q_LH_HFE__) + ( 0.125 * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + ( 0.35 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) + ( 0.001 * cos__q_LH_HAA__));
+ (*this)(1,4) = (((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__)) + ( 0.125 * cos__q_LH_HAA__));
+ (*this)(1,5) = (((((((- 0.001 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.001 * sin__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.125 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) - ( 0.001 * sin__q_LH_HAA__));
+ (*this)(2,4) = ((((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__)) - ( 0.125 * sin__q_LH_HAA__));
+ (*this)(2,5) = (((((((- 0.001 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((( 0.001 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.125 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,3) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM::Type_fr_trunk_X_RH_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,4) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,5) = ((((((( 5.0E-4 * cos__q_RH_HFE__) - ( 0.1254 * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((( 5.0E-4 * sin__q_RH_HFE__) + ( 0.1254 * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + ( 0.35 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = ((((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + ( 5.0E-4 * cos__q_RH_HAA__));
+ (*this)(1,4) = (((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.1254 * cos__q_RH_HAA__));
+ (*this)(1,5) = ((((((( 5.0E-4 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 0.1254 * sin__q_RH_HAA__) * sin__q_RH_HFE__) - (( 5.0E-4 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ((((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + ( 5.0E-4 * sin__q_RH_HAA__));
+ (*this)(2,4) = (((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.1254 * sin__q_RH_HAA__));
+ (*this)(2,5) = (((((((- 5.0E-4 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.1254 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,3) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg::Type_fr_LF_foot_X_fr_LF_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0.33;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.33;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg::Type_fr_RF_foot_X_fr_RF_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0.33;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.33;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg::Type_fr_LH_foot_X_fr_LH_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0.33;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.33;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg::Type_fr_RH_foot_X_fr_RH_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0.33;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.33;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot::Type_fr_trunk_X_fr_LF_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,4) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,5) = ((((((- 0.33 * sin__q_LF_HFE__) * sin__q_LF_KFE__) + (( 0.33 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + ( 0.35 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(1,4) = ((((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__)) + ( 0.33 * cos__q_LF_HAA__));
+ (*this)(1,5) = ((((((- 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(2,4) = ((((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__)) - ( 0.33 * sin__q_LF_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,3) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot::Type_fr_trunk_X_fr_RF_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,4) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,5) = ((((((- 0.33 * sin__q_RF_HFE__) * sin__q_RF_KFE__) + (( 0.33 * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + ( 0.35 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(1,4) = ((((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * cos__q_RF_HAA__));
+ (*this)(1,5) = (((((( 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(2,4) = (((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * sin__q_RF_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,3) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot::Type_fr_trunk_X_fr_LH_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,4) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,5) = ((((((- 0.33 * sin__q_LH_HFE__) * sin__q_LH_KFE__) + (( 0.33 * cos__q_LH_HFE__) * cos__q_LH_KFE__)) + ( 0.35 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(1,4) = (((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__)) + ( 0.33 * cos__q_LH_HAA__));
+ (*this)(1,5) = ((((((- 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(2,4) = ((((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__)) - ( 0.33 * sin__q_LH_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,3) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot::Type_fr_trunk_X_fr_RH_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,4) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,5) = ((((((- 0.33 * sin__q_RH_HFE__) * sin__q_RH_KFE__) + (( 0.33 * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + ( 0.35 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(1,4) = (((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * cos__q_RH_HAA__));
+ (*this)(1,5) = (((((( 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(2,4) = (((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * sin__q_RH_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,3) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk::Type_fr_LF_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,2) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,4) = ((((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(0,5) = (((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * sin__q_LF_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(1,0) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,3) = (((( 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) + ((( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,4) = ((((((- 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__)) * cos__q_LF_KFE__)) + ( 0.33 * cos__q_LF_HAA__));
+ (*this)(1,5) = ((((((( 0.08 * sin__q_LF_HAA__) - 0.207) * sin__q_LF_HFE__) + (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + ((((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__)) * cos__q_LF_KFE__)) - ( 0.33 * sin__q_LF_HAA__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = ((((((- 0.33 * sin__q_LF_HFE__) * sin__q_LF_KFE__) + (( 0.33 * cos__q_LF_HFE__) * cos__q_LF_KFE__)) + ( 0.35 * cos__q_LF_HFE__)) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(2,4) = ((((((- 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * sin__q_LF_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__)) + ( 0.3735 * cos__q_LF_HAA__));
+ (*this)(3,3) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(3,4) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(3,5) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,3) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(4,4) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(4,5) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(5,4) = cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk::Type_fr_RF_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,2) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,4) = ((((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * sin__q_RF_KFE__) + (((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(0,5) = ((((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * sin__q_RF_KFE__) + ((((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(1,0) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,3) = ((((- 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,4) = ((((((- 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * cos__q_RF_HAA__));
+ (*this)(1,5) = (((((( 0.207 - ( 0.08 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) - (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__)) * cos__q_RF_KFE__)) + ( 0.33 * sin__q_RF_HAA__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((((((- 0.33 * sin__q_RF_HFE__) * sin__q_RF_KFE__) + (( 0.33 * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + ( 0.35 * cos__q_RF_HFE__)) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(2,4) = (((((( 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__)) + ( 0.3735 * cos__q_RF_HAA__));
+ (*this)(3,3) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(3,4) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(3,5) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,3) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(4,4) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(4,5) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(5,4) = cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk::Type_fr_LH_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,2) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,4) = (((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(0,5) = ((((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * sin__q_LH_KFE__) + (((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(1,0) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,3) = (((( 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) + ((( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,4) = (((((( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - (( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__)) * cos__q_LH_KFE__)) + ( 0.33 * cos__q_LH_HAA__));
+ (*this)(1,5) = ((((((( 0.08 * sin__q_LH_HAA__) - 0.207) * sin__q_LH_HFE__) - (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + (((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__)) * cos__q_LH_KFE__)) - ( 0.33 * sin__q_LH_HAA__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((((((- 0.33 * sin__q_LH_HFE__) * sin__q_LH_KFE__) + (( 0.33 * cos__q_LH_HFE__) * cos__q_LH_KFE__)) + ( 0.35 * cos__q_LH_HFE__)) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(2,4) = ((((((- 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__)) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(3,4) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(3,5) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,3) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(4,4) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(4,5) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(5,4) = cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk::Type_fr_RH_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,2) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,3) = (((( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,4) = (((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * sin__q_RH_KFE__) + (((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(0,5) = (((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * sin__q_RH_KFE__) + ((((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(1,0) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,3) = ((((- 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,4) = (((((( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * cos__q_RH_HAA__));
+ (*this)(1,5) = (((((( 0.207 - ( 0.08 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) + (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__)) * cos__q_RH_KFE__)) + ( 0.33 * sin__q_RH_HAA__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ((((((- 0.33 * sin__q_RH_HFE__) * sin__q_RH_KFE__) + (( 0.33 * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + ( 0.35 * cos__q_RH_HFE__)) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(2,4) = (((((( 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,5) = ((((((- 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__)) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(3,4) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(3,5) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,3) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(4,4) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(4,5) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(5,4) = cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA::Type_fr_trunk_X_fr_LF_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = - 0.207;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0.3735;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.3735;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA::Type_fr_trunk_X_fr_RF_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.207;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0.3735;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0.3735;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA::Type_fr_trunk_X_fr_LH_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = - 0.207;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = - 0.3735;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0.3735;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = - 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA::Type_fr_trunk_X_fr_RH_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.207;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = - 0.3735;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.3735;
+ (*this)(2,5) = 0.207;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE::Type_fr_trunk_X_fr_LF_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,3) = (- 0.207 * cos__q_LF_HAA__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_LF_HAA__));
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(1,4) = ( 0.08 * cos__q_LF_HAA__);
+ (*this)(1,5) = ( 0.3735 * sin__q_LF_HAA__);
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.3735 * sin__q_LF_HAA__);
+ (*this)(2,4) = ( 0.207 - ( 0.08 * sin__q_LF_HAA__));
+ (*this)(2,5) = ( 0.3735 * cos__q_LF_HAA__);
+ (*this)(4,3) = - sin__q_LF_HAA__;
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = - cos__q_LF_HAA__;
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE::Type_fr_trunk_X_fr_RF_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,3) = ( 0.207 * cos__q_RF_HAA__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_RF_HAA__));
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(1,4) = ( 0.08 * cos__q_RF_HAA__);
+ (*this)(1,5) = (- 0.3735 * sin__q_RF_HAA__);
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.3735 * sin__q_RF_HAA__);
+ (*this)(2,4) = (( 0.08 * sin__q_RF_HAA__) - 0.207);
+ (*this)(2,5) = ( 0.3735 * cos__q_RF_HAA__);
+ (*this)(4,3) = sin__q_RF_HAA__;
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = - cos__q_RF_HAA__;
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE::Type_fr_trunk_X_fr_LH_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,3) = (- 0.207 * cos__q_LH_HAA__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_LH_HAA__));
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(1,4) = ( 0.08 * cos__q_LH_HAA__);
+ (*this)(1,5) = (- 0.3735 * sin__q_LH_HAA__);
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ( 0.3735 * sin__q_LH_HAA__);
+ (*this)(2,4) = ( 0.207 - ( 0.08 * sin__q_LH_HAA__));
+ (*this)(2,5) = (- 0.3735 * cos__q_LH_HAA__);
+ (*this)(4,3) = - sin__q_LH_HAA__;
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = - cos__q_LH_HAA__;
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE::Type_fr_trunk_X_fr_RH_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = - 1.0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,4) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,3) = ( 0.207 * cos__q_RH_HAA__);
+ (*this)(0,5) = ( 0.08 - ( 0.207 * sin__q_RH_HAA__));
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(1,4) = ( 0.08 * cos__q_RH_HAA__);
+ (*this)(1,5) = ( 0.3735 * sin__q_RH_HAA__);
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (- 0.3735 * sin__q_RH_HAA__);
+ (*this)(2,4) = (( 0.08 * sin__q_RH_HAA__) - 0.207);
+ (*this)(2,5) = (- 0.3735 * cos__q_RH_HAA__);
+ (*this)(4,3) = sin__q_RH_HAA__;
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = - cos__q_RH_HAA__;
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE::Type_fr_trunk_X_fr_LF_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(0,3) = ((- 0.207 * cos__q_LF_HAA__) * cos__q_LF_HFE__);
+ (*this)(0,4) = (( 0.207 * cos__q_LF_HAA__) * sin__q_LF_HFE__);
+ (*this)(0,5) = ((( 0.35 * cos__q_LF_HFE__) - ( 0.207 * sin__q_LF_HAA__)) + 0.08);
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.3735 * cos__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(1,4) = ((((- 0.3735 * cos__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.08 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) + ( 0.35 * cos__q_LF_HAA__));
+ (*this)(1,5) = (( 0.3735 * sin__q_LF_HAA__) - (( 0.35 * sin__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = ((( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) - (( 0.3735 * sin__q_LF_HAA__) * cos__q_LF_HFE__));
+ (*this)(2,4) = (((( 0.3735 * sin__q_LF_HAA__) * sin__q_LF_HFE__) + (( 0.207 - ( 0.08 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) - ( 0.35 * sin__q_LF_HAA__));
+ (*this)(2,5) = (( 0.3735 * cos__q_LF_HAA__) - (( 0.35 * cos__q_LF_HAA__) * sin__q_LF_HFE__));
+ (*this)(3,3) = - sin__q_LF_HFE__;
+ (*this)(3,4) = - cos__q_LF_HFE__;
+ (*this)(4,3) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(4,4) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(4,5) = cos__q_LF_HAA__;
+ (*this)(5,3) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(5,4) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(5,5) = - sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE::Type_fr_trunk_X_fr_RF_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(0,3) = (( 0.207 * cos__q_RF_HAA__) * cos__q_RF_HFE__);
+ (*this)(0,4) = ((- 0.207 * cos__q_RF_HAA__) * sin__q_RF_HFE__);
+ (*this)(0,5) = ((( 0.35 * cos__q_RF_HFE__) - ( 0.207 * sin__q_RF_HAA__)) + 0.08);
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.3735 * cos__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(1,4) = ((((- 0.3735 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.08 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.35 * cos__q_RF_HAA__));
+ (*this)(1,5) = ((( 0.35 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - ( 0.3735 * sin__q_RF_HAA__));
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (((( 0.08 * sin__q_RF_HAA__) - 0.207) * sin__q_RF_HFE__) + (( 0.3735 * sin__q_RF_HAA__) * cos__q_RF_HFE__));
+ (*this)(2,4) = ((((- 0.3735 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + ((( 0.08 * sin__q_RF_HAA__) - 0.207) * cos__q_RF_HFE__)) + ( 0.35 * sin__q_RF_HAA__));
+ (*this)(2,5) = (( 0.3735 * cos__q_RF_HAA__) - (( 0.35 * cos__q_RF_HAA__) * sin__q_RF_HFE__));
+ (*this)(3,3) = - sin__q_RF_HFE__;
+ (*this)(3,4) = - cos__q_RF_HFE__;
+ (*this)(4,3) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(4,4) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(4,5) = cos__q_RF_HAA__;
+ (*this)(5,3) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(5,4) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(5,5) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE::Type_fr_trunk_X_fr_LH_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(0,3) = ((- 0.207 * cos__q_LH_HAA__) * cos__q_LH_HFE__);
+ (*this)(0,4) = (( 0.207 * cos__q_LH_HAA__) * sin__q_LH_HFE__);
+ (*this)(0,5) = ((( 0.35 * cos__q_LH_HFE__) - ( 0.207 * sin__q_LH_HAA__)) + 0.08);
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.3735 * cos__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(1,4) = (((( 0.3735 * cos__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.08 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) + ( 0.35 * cos__q_LH_HAA__));
+ (*this)(1,5) = (((- 0.35 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HAA__));
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) + (( 0.3735 * sin__q_LH_HAA__) * cos__q_LH_HFE__));
+ (*this)(2,4) = ((((- 0.3735 * sin__q_LH_HAA__) * sin__q_LH_HFE__) + (( 0.207 - ( 0.08 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) - ( 0.35 * sin__q_LH_HAA__));
+ (*this)(2,5) = (((- 0.35 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HAA__));
+ (*this)(3,3) = - sin__q_LH_HFE__;
+ (*this)(3,4) = - cos__q_LH_HFE__;
+ (*this)(4,3) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(4,4) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(4,5) = cos__q_LH_HAA__;
+ (*this)(5,3) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(5,4) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(5,5) = - sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE::Type_fr_trunk_X_fr_RH_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(0,3) = (( 0.207 * cos__q_RH_HAA__) * cos__q_RH_HFE__);
+ (*this)(0,4) = ((- 0.207 * cos__q_RH_HAA__) * sin__q_RH_HFE__);
+ (*this)(0,5) = ((( 0.35 * cos__q_RH_HFE__) - ( 0.207 * sin__q_RH_HAA__)) + 0.08);
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = ((( 0.08 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.3735 * cos__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(1,4) = (((( 0.3735 * cos__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.08 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.35 * cos__q_RH_HAA__));
+ (*this)(1,5) = ((( 0.35 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ( 0.3735 * sin__q_RH_HAA__));
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((( 0.08 * sin__q_RH_HAA__) - 0.207) * sin__q_RH_HFE__) - (( 0.3735 * sin__q_RH_HAA__) * cos__q_RH_HFE__));
+ (*this)(2,4) = (((( 0.3735 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + ((( 0.08 * sin__q_RH_HAA__) - 0.207) * cos__q_RH_HFE__)) + ( 0.35 * sin__q_RH_HAA__));
+ (*this)(2,5) = (((- 0.35 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HAA__));
+ (*this)(3,3) = - sin__q_RH_HFE__;
+ (*this)(3,4) = - cos__q_RH_HFE__;
+ (*this)(4,3) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(4,4) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(4,5) = cos__q_RH_HAA__;
+ (*this)(5,3) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(5,4) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(5,5) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly::Type_fr_LF_upperleg_X_fr_LF_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = - 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+
+ (*this)(0,0) = cos__q_LF_HFE__;
+ (*this)(0,2) = sin__q_LF_HFE__;
+ (*this)(0,4) = (- 0.08 * sin__q_LF_HFE__);
+ (*this)(1,0) = - sin__q_LF_HFE__;
+ (*this)(1,2) = cos__q_LF_HFE__;
+ (*this)(1,4) = (- 0.08 * cos__q_LF_HFE__);
+ (*this)(3,3) = cos__q_LF_HFE__;
+ (*this)(3,5) = sin__q_LF_HFE__;
+ (*this)(4,3) = - sin__q_LF_HFE__;
+ (*this)(4,5) = cos__q_LF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg::Type_fr_LF_hipassembly_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = - 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+
+ (*this)(0,0) = cos__q_LF_HFE__;
+ (*this)(0,1) = - sin__q_LF_HFE__;
+ (*this)(1,3) = (- 0.08 * sin__q_LF_HFE__);
+ (*this)(1,4) = (- 0.08 * cos__q_LF_HFE__);
+ (*this)(2,0) = sin__q_LF_HFE__;
+ (*this)(2,1) = cos__q_LF_HFE__;
+ (*this)(3,3) = cos__q_LF_HFE__;
+ (*this)(3,4) = - sin__q_LF_HFE__;
+ (*this)(5,3) = sin__q_LF_HFE__;
+ (*this)(5,4) = cos__q_LF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg::Type_fr_LF_lowerleg_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.35;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+
+ (*this)(0,0) = cos__q_LF_KFE__;
+ (*this)(0,1) = sin__q_LF_KFE__;
+ (*this)(0,5) = ( 0.35 * sin__q_LF_KFE__);
+ (*this)(1,0) = - sin__q_LF_KFE__;
+ (*this)(1,1) = cos__q_LF_KFE__;
+ (*this)(1,5) = ( 0.35 * cos__q_LF_KFE__);
+ (*this)(3,3) = cos__q_LF_KFE__;
+ (*this)(3,4) = sin__q_LF_KFE__;
+ (*this)(4,3) = - sin__q_LF_KFE__;
+ (*this)(4,4) = cos__q_LF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg::Type_fr_LF_upperleg_X_fr_LF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.35;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+
+ (*this)(0,0) = cos__q_LF_KFE__;
+ (*this)(0,1) = - sin__q_LF_KFE__;
+ (*this)(1,0) = sin__q_LF_KFE__;
+ (*this)(1,1) = cos__q_LF_KFE__;
+ (*this)(2,3) = ( 0.35 * sin__q_LF_KFE__);
+ (*this)(2,4) = ( 0.35 * cos__q_LF_KFE__);
+ (*this)(3,3) = cos__q_LF_KFE__;
+ (*this)(3,4) = - sin__q_LF_KFE__;
+ (*this)(4,3) = sin__q_LF_KFE__;
+ (*this)(4,4) = cos__q_LF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly::Type_fr_RF_upperleg_X_fr_RF_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+
+ (*this)(0,0) = cos__q_RF_HFE__;
+ (*this)(0,2) = - sin__q_RF_HFE__;
+ (*this)(0,4) = ( 0.08 * sin__q_RF_HFE__);
+ (*this)(1,0) = - sin__q_RF_HFE__;
+ (*this)(1,2) = - cos__q_RF_HFE__;
+ (*this)(1,4) = ( 0.08 * cos__q_RF_HFE__);
+ (*this)(3,3) = cos__q_RF_HFE__;
+ (*this)(3,5) = - sin__q_RF_HFE__;
+ (*this)(4,3) = - sin__q_RF_HFE__;
+ (*this)(4,5) = - cos__q_RF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg::Type_fr_RF_hipassembly_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+
+ (*this)(0,0) = cos__q_RF_HFE__;
+ (*this)(0,1) = - sin__q_RF_HFE__;
+ (*this)(1,3) = ( 0.08 * sin__q_RF_HFE__);
+ (*this)(1,4) = ( 0.08 * cos__q_RF_HFE__);
+ (*this)(2,0) = - sin__q_RF_HFE__;
+ (*this)(2,1) = - cos__q_RF_HFE__;
+ (*this)(3,3) = cos__q_RF_HFE__;
+ (*this)(3,4) = - sin__q_RF_HFE__;
+ (*this)(5,3) = - sin__q_RF_HFE__;
+ (*this)(5,4) = - cos__q_RF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg::Type_fr_RF_lowerleg_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.35;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+
+ (*this)(0,0) = cos__q_RF_KFE__;
+ (*this)(0,1) = sin__q_RF_KFE__;
+ (*this)(0,5) = ( 0.35 * sin__q_RF_KFE__);
+ (*this)(1,0) = - sin__q_RF_KFE__;
+ (*this)(1,1) = cos__q_RF_KFE__;
+ (*this)(1,5) = ( 0.35 * cos__q_RF_KFE__);
+ (*this)(3,3) = cos__q_RF_KFE__;
+ (*this)(3,4) = sin__q_RF_KFE__;
+ (*this)(4,3) = - sin__q_RF_KFE__;
+ (*this)(4,4) = cos__q_RF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg::Type_fr_RF_upperleg_X_fr_RF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.35;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+
+ (*this)(0,0) = cos__q_RF_KFE__;
+ (*this)(0,1) = - sin__q_RF_KFE__;
+ (*this)(1,0) = sin__q_RF_KFE__;
+ (*this)(1,1) = cos__q_RF_KFE__;
+ (*this)(2,3) = ( 0.35 * sin__q_RF_KFE__);
+ (*this)(2,4) = ( 0.35 * cos__q_RF_KFE__);
+ (*this)(3,3) = cos__q_RF_KFE__;
+ (*this)(3,4) = - sin__q_RF_KFE__;
+ (*this)(4,3) = sin__q_RF_KFE__;
+ (*this)(4,4) = cos__q_RF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly::Type_fr_LH_upperleg_X_fr_LH_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = - 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+
+ (*this)(0,0) = cos__q_LH_HFE__;
+ (*this)(0,2) = sin__q_LH_HFE__;
+ (*this)(0,4) = (- 0.08 * sin__q_LH_HFE__);
+ (*this)(1,0) = - sin__q_LH_HFE__;
+ (*this)(1,2) = cos__q_LH_HFE__;
+ (*this)(1,4) = (- 0.08 * cos__q_LH_HFE__);
+ (*this)(3,3) = cos__q_LH_HFE__;
+ (*this)(3,5) = sin__q_LH_HFE__;
+ (*this)(4,3) = - sin__q_LH_HFE__;
+ (*this)(4,5) = cos__q_LH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg::Type_fr_LH_hipassembly_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = - 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+
+ (*this)(0,0) = cos__q_LH_HFE__;
+ (*this)(0,1) = - sin__q_LH_HFE__;
+ (*this)(1,3) = (- 0.08 * sin__q_LH_HFE__);
+ (*this)(1,4) = (- 0.08 * cos__q_LH_HFE__);
+ (*this)(2,0) = sin__q_LH_HFE__;
+ (*this)(2,1) = cos__q_LH_HFE__;
+ (*this)(3,3) = cos__q_LH_HFE__;
+ (*this)(3,4) = - sin__q_LH_HFE__;
+ (*this)(5,3) = sin__q_LH_HFE__;
+ (*this)(5,4) = cos__q_LH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg::Type_fr_LH_lowerleg_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.35;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+
+ (*this)(0,0) = cos__q_LH_KFE__;
+ (*this)(0,1) = sin__q_LH_KFE__;
+ (*this)(0,5) = ( 0.35 * sin__q_LH_KFE__);
+ (*this)(1,0) = - sin__q_LH_KFE__;
+ (*this)(1,1) = cos__q_LH_KFE__;
+ (*this)(1,5) = ( 0.35 * cos__q_LH_KFE__);
+ (*this)(3,3) = cos__q_LH_KFE__;
+ (*this)(3,4) = sin__q_LH_KFE__;
+ (*this)(4,3) = - sin__q_LH_KFE__;
+ (*this)(4,4) = cos__q_LH_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg::Type_fr_LH_upperleg_X_fr_LH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.35;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+
+ (*this)(0,0) = cos__q_LH_KFE__;
+ (*this)(0,1) = - sin__q_LH_KFE__;
+ (*this)(1,0) = sin__q_LH_KFE__;
+ (*this)(1,1) = cos__q_LH_KFE__;
+ (*this)(2,3) = ( 0.35 * sin__q_LH_KFE__);
+ (*this)(2,4) = ( 0.35 * cos__q_LH_KFE__);
+ (*this)(3,3) = cos__q_LH_KFE__;
+ (*this)(3,4) = - sin__q_LH_KFE__;
+ (*this)(4,3) = sin__q_LH_KFE__;
+ (*this)(4,4) = cos__q_LH_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly::Type_fr_RH_upperleg_X_fr_RH_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+
+ (*this)(0,0) = cos__q_RH_HFE__;
+ (*this)(0,2) = - sin__q_RH_HFE__;
+ (*this)(0,4) = ( 0.08 * sin__q_RH_HFE__);
+ (*this)(1,0) = - sin__q_RH_HFE__;
+ (*this)(1,2) = - cos__q_RH_HFE__;
+ (*this)(1,4) = ( 0.08 * cos__q_RH_HFE__);
+ (*this)(3,3) = cos__q_RH_HFE__;
+ (*this)(3,5) = - sin__q_RH_HFE__;
+ (*this)(4,3) = - sin__q_RH_HFE__;
+ (*this)(4,5) = - cos__q_RH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg::Type_fr_RH_hipassembly_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0.08;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+
+ (*this)(0,0) = cos__q_RH_HFE__;
+ (*this)(0,1) = - sin__q_RH_HFE__;
+ (*this)(1,3) = ( 0.08 * sin__q_RH_HFE__);
+ (*this)(1,4) = ( 0.08 * cos__q_RH_HFE__);
+ (*this)(2,0) = - sin__q_RH_HFE__;
+ (*this)(2,1) = - cos__q_RH_HFE__;
+ (*this)(3,3) = cos__q_RH_HFE__;
+ (*this)(3,4) = - sin__q_RH_HFE__;
+ (*this)(5,3) = - sin__q_RH_HFE__;
+ (*this)(5,4) = - cos__q_RH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg::Type_fr_RH_lowerleg_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = - 0.35;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+
+ (*this)(0,0) = cos__q_RH_KFE__;
+ (*this)(0,1) = sin__q_RH_KFE__;
+ (*this)(0,5) = ( 0.35 * sin__q_RH_KFE__);
+ (*this)(1,0) = - sin__q_RH_KFE__;
+ (*this)(1,1) = cos__q_RH_KFE__;
+ (*this)(1,5) = ( 0.35 * cos__q_RH_KFE__);
+ (*this)(3,3) = cos__q_RH_KFE__;
+ (*this)(3,4) = sin__q_RH_KFE__;
+ (*this)(4,3) = - sin__q_RH_KFE__;
+ (*this)(4,4) = cos__q_RH_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg::Type_fr_RH_upperleg_X_fr_RH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = - 0.35;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg& iit::HyQ::tpl::ForceTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+
+ (*this)(0,0) = cos__q_RH_KFE__;
+ (*this)(0,1) = - sin__q_RH_KFE__;
+ (*this)(1,0) = sin__q_RH_KFE__;
+ (*this)(1,1) = cos__q_RH_KFE__;
+ (*this)(2,3) = ( 0.35 * sin__q_RH_KFE__);
+ (*this)(2,4) = ( 0.35 * cos__q_RH_KFE__);
+ (*this)(3,3) = cos__q_RH_KFE__;
+ (*this)(3,4) = - sin__q_RH_KFE__;
+ (*this)(4,3) = sin__q_RH_KFE__;
+ (*this)(4,4) = cos__q_RH_KFE__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly::Type_fr_trunk_X_fr_LF_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0.3735;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0.207;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_hipassembly::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,1) = sin__q_LF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly::Type_fr_trunk_X_fr_RF_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.3735;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = - 0.207;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_hipassembly::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly::Type_fr_trunk_X_fr_LH_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0.207;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_hipassembly::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,1) = sin__q_LH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly::Type_fr_trunk_X_fr_RH_hipassembly()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = - 0.207;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_hipassembly::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg::Type_fr_trunk_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ( 0.207 - ( 0.08 * sin__q_LF_HAA__));
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg::Type_fr_trunk_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (( 0.08 * sin__q_RF_HAA__) - 0.207);
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg::Type_fr_trunk_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ( 0.207 - ( 0.08 * sin__q_LH_HAA__));
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg::Type_fr_trunk_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (( 0.08 * sin__q_RH_HAA__) - 0.207);
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg::Type_fr_trunk_X_fr_LF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_lowerleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,3) = ( 0.3735 - ( 0.35 * sin__q_LF_HFE__));
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((- 0.35 * sin__q_LF_HAA__) * cos__q_LF_HFE__) - ( 0.08 * sin__q_LF_HAA__)) + 0.207);
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_LF_HAA__) * cos__q_LF_HFE__) - ( 0.08 * cos__q_LF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg::Type_fr_trunk_X_fr_RF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_lowerleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,3) = ( 0.3735 - ( 0.35 * sin__q_RF_HFE__));
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (((( 0.35 * sin__q_RF_HAA__) * cos__q_RF_HFE__) + ( 0.08 * sin__q_RF_HAA__)) - 0.207);
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - ( 0.08 * cos__q_RF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg::Type_fr_trunk_X_fr_LH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_lowerleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,3) = ((- 0.35 * sin__q_LH_HFE__) - 0.3735);
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((((- 0.35 * sin__q_LH_HAA__) * cos__q_LH_HFE__) - ( 0.08 * sin__q_LH_HAA__)) + 0.207);
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - ( 0.08 * cos__q_LH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg::Type_fr_trunk_X_fr_RH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_lowerleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,3) = ((- 0.35 * sin__q_RH_HFE__) - 0.3735);
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((( 0.35 * sin__q_RH_HAA__) * cos__q_RH_HFE__) + ( 0.08 * sin__q_RH_HAA__)) - 0.207);
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - ( 0.08 * cos__q_RH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk::Type_fr_LF_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,1) = - sin__q_LF_HAA__;
+ (*this)(0,2) = - cos__q_LF_HAA__;
+ (*this)(0,3) = ( 0.207 * sin__q_LF_HAA__);
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(1,2) = sin__q_LF_HAA__;
+ (*this)(1,3) = ( 0.207 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk::Type_fr_RF_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,1) = sin__q_RF_HAA__;
+ (*this)(0,2) = - cos__q_RF_HAA__;
+ (*this)(0,3) = ( 0.207 * sin__q_RF_HAA__);
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,2) = sin__q_RF_HAA__;
+ (*this)(1,3) = ( 0.207 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk::Type_fr_LH_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,1) = - sin__q_LH_HAA__;
+ (*this)(0,2) = - cos__q_LH_HAA__;
+ (*this)(0,3) = ( 0.207 * sin__q_LH_HAA__);
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(1,2) = sin__q_LH_HAA__;
+ (*this)(1,3) = ( 0.207 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk::Type_fr_RH_hipassembly_X_fr_trunk()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0.3735;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,1) = sin__q_RH_HAA__;
+ (*this)(0,2) = - cos__q_RH_HAA__;
+ (*this)(0,3) = ( 0.207 * sin__q_RH_HAA__);
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,2) = sin__q_RH_HAA__;
+ (*this)(1,3) = ( 0.207 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk::Type_fr_LF_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(0,2) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(0,3) = (( 0.3735 * sin__q_LF_HFE__) + ((( 0.207 * sin__q_LF_HAA__) - 0.08) * cos__q_LF_HFE__));
+ (*this)(1,0) = - cos__q_LF_HFE__;
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,3) = ((( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) + ( 0.3735 * cos__q_LF_HFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.207 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk::Type_fr_RF_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(0,2) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(0,3) = (( 0.3735 * sin__q_RF_HFE__) + ((( 0.207 * sin__q_RF_HAA__) - 0.08) * cos__q_RF_HFE__));
+ (*this)(1,0) = - cos__q_RF_HFE__;
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,3) = ((( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) + ( 0.3735 * cos__q_RF_HFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.207 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk::Type_fr_LH_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(0,2) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(0,3) = (((( 0.207 * sin__q_LH_HAA__) - 0.08) * cos__q_LH_HFE__) - ( 0.3735 * sin__q_LH_HFE__));
+ (*this)(1,0) = - cos__q_LH_HFE__;
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,3) = ((( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (- 0.207 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk::Type_fr_RH_upperleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(0,2) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(0,3) = (((( 0.207 * sin__q_RH_HAA__) - 0.08) * cos__q_RH_HFE__) - ( 0.3735 * sin__q_RH_HFE__));
+ (*this)(1,0) = - cos__q_RH_HFE__;
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,3) = ((( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ( 0.207 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk::Type_fr_LF_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,2) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,3) = ((((( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) + ( 0.3735 * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((( 0.3735 * sin__q_LF_HFE__) + ((( 0.207 * sin__q_LF_HAA__) - 0.08) * cos__q_LF_HFE__)) - 0.35) * cos__q_LF_KFE__));
+ (*this)(1,0) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,3) = (((((- 0.3735 * sin__q_LF_HFE__) + (( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) + 0.35) * sin__q_LF_KFE__) + (((( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) + ( 0.3735 * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.207 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk::Type_fr_RF_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,2) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,3) = ((((( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) + ( 0.3735 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.3735 * sin__q_RF_HFE__) + ((( 0.207 * sin__q_RF_HAA__) - 0.08) * cos__q_RF_HFE__)) - 0.35) * cos__q_RF_KFE__));
+ (*this)(1,0) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,3) = (((((- 0.3735 * sin__q_RF_HFE__) + (( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * cos__q_RF_HFE__)) + 0.35) * sin__q_RF_KFE__) + (((( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) + ( 0.3735 * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.207 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk::Type_fr_LH_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,2) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,3) = ((((( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((- 0.3735 * sin__q_LH_HFE__) + ((( 0.207 * sin__q_LH_HAA__) - 0.08) * cos__q_LH_HFE__)) - 0.35) * cos__q_LH_KFE__));
+ (*this)(1,0) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,3) = ((((( 0.3735 * sin__q_LH_HFE__) + (( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) + 0.35) * sin__q_LH_KFE__) + (((( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (- 0.207 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk::Type_fr_RH_lowerleg_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,2) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,3) = ((((( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((- 0.3735 * sin__q_RH_HFE__) + ((( 0.207 * sin__q_RH_HAA__) - 0.08) * cos__q_RH_HFE__)) - 0.35) * cos__q_RH_KFE__));
+ (*this)(1,0) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,3) = ((((( 0.3735 * sin__q_RH_HFE__) + (( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * cos__q_RH_HFE__)) + 0.35) * sin__q_RH_KFE__) + (((( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ( 0.207 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM::Type_fr_trunk_X_LF_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0.2045;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,1) = - cos__q_LF_HAA__;
+ (*this)(1,3) = ( 0.207 - ( 0.043 * sin__q_LF_HAA__));
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,1) = sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.043 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM::Type_fr_trunk_X_RF_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.2045;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,1) = cos__q_RF_HAA__;
+ (*this)(1,3) = (( 0.043 * sin__q_RF_HAA__) - 0.207);
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,1) = sin__q_RF_HAA__;
+ (*this)(2,3) = (- 0.043 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM::Type_fr_trunk_X_LH_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = - 0.2045;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,1) = - cos__q_LH_HAA__;
+ (*this)(1,3) = ( 0.207 - ( 0.043 * sin__q_LH_HAA__));
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,1) = sin__q_LH_HAA__;
+ (*this)(2,3) = (- 0.043 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM::Type_fr_trunk_X_RH_hipassemblyCOM()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = - 0.2045;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_hipassemblyCOM::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,1) = cos__q_RH_HAA__;
+ (*this)(1,3) = (( 0.043 * sin__q_RH_HAA__) - 0.207);
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,1) = sin__q_RH_HAA__;
+ (*this)(2,3) = (- 0.043 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM::Type_fr_trunk_X_LF_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(0,3) = (((- 0.151 * sin__q_LF_HFE__) + ( 0.026 * cos__q_LF_HFE__)) + 0.3735);
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = (((((- 0.026 * sin__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.151 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * sin__q_LF_HAA__)) + 0.207);
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = ((((- 0.026 * cos__q_LF_HAA__) * sin__q_LF_HFE__) - (( 0.151 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * cos__q_LF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM::Type_fr_trunk_X_RF_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(0,3) = (((- 0.151 * sin__q_RF_HFE__) + ( 0.026 * cos__q_RF_HFE__)) + 0.3735);
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ((((( 0.026 * sin__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.151 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * sin__q_RF_HAA__)) - 0.207);
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((((- 0.026 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.151 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) - ( 0.08 * cos__q_RF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM::Type_fr_trunk_X_LH_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(0,3) = (((- 0.151 * sin__q_LH_HFE__) - ( 0.026 * cos__q_LH_HFE__)) - 0.3735);
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((((( 0.026 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.151 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * sin__q_LH_HAA__)) + 0.207);
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (((( 0.026 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.151 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * cos__q_LH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM::Type_fr_trunk_X_RH_upperlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_upperlegCOM::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(0,3) = (((- 0.151 * sin__q_RH_HFE__) - ( 0.026 * cos__q_RH_HFE__)) - 0.3735);
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((((- 0.026 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.151 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * sin__q_RH_HAA__)) - 0.207);
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((( 0.026 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.151 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.08 * cos__q_RH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM::Type_fr_trunk_X_LF_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LF_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,3) = (((((- 0.125 * cos__q_LF_HFE__) * sin__q_LF_KFE__) - (( 0.125 * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - ( 0.35 * sin__q_LF_HFE__)) + 0.3735);
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((((( 0.125 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * sin__q_LF_HAA__)) + 0.207);
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((((( 0.125 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.125 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * cos__q_LF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM::Type_fr_trunk_X_RF_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RF_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,3) = (((((( 0.001 * sin__q_RF_HFE__) - ( 0.125 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((- 0.125 * sin__q_RF_HFE__) - ( 0.001 * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - ( 0.35 * sin__q_RF_HFE__)) + 0.3735);
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = ((((((((- 0.125 * sin__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.125 * sin__q_RF_HAA__) * cos__q_RF_HFE__) - (( 0.001 * sin__q_RF_HAA__) * sin__q_RF_HFE__)) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * sin__q_RF_HAA__)) - 0.207);
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ((((((( 0.125 * cos__q_RF_HAA__) * sin__q_RF_HFE__) + (( 0.001 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.001 * cos__q_RF_HAA__) * sin__q_RF_HFE__) - (( 0.125 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) - ( 0.08 * cos__q_RF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM::Type_fr_trunk_X_LH_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_LH_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,3) = ((((((- 0.001 * sin__q_LH_HFE__) - ( 0.125 * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + ((( 0.001 * cos__q_LH_HFE__) - ( 0.125 * sin__q_LH_HFE__)) * cos__q_LH_KFE__)) - ( 0.35 * sin__q_LH_HFE__)) - 0.3735);
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = (((((((( 0.125 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((- 0.001 * sin__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * sin__q_LH_HAA__)) + 0.207);
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = ((((((( 0.125 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.001 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((- 0.001 * cos__q_LH_HAA__) * sin__q_LH_HFE__) - (( 0.125 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * cos__q_LH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM::Type_fr_trunk_X_RH_lowerlegCOM()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_RH_lowerlegCOM::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,3) = ((((((- 5.0E-4 * sin__q_RH_HFE__) - ( 0.1254 * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((( 5.0E-4 * cos__q_RH_HFE__) - ( 0.1254 * sin__q_RH_HFE__)) * cos__q_RH_KFE__)) - ( 0.35 * sin__q_RH_HFE__)) - 0.3735);
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((((((( 5.0E-4 * sin__q_RH_HAA__) * cos__q_RH_HFE__) - (( 0.1254 * sin__q_RH_HAA__) * sin__q_RH_HFE__)) * sin__q_RH_KFE__) + (((( 5.0E-4 * sin__q_RH_HAA__) * sin__q_RH_HFE__) + (( 0.1254 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * sin__q_RH_HAA__)) - 0.207);
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ((((((( 0.1254 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 5.0E-4 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((- 5.0E-4 * cos__q_RH_HAA__) * sin__q_RH_HFE__) - (( 0.1254 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.08 * cos__q_RH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg::Type_fr_LF_foot_X_fr_LF_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.33;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_foot_X_fr_LF_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg::Type_fr_RF_foot_X_fr_RF_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.33;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_foot_X_fr_RF_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg::Type_fr_LH_foot_X_fr_LH_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.33;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_foot_X_fr_LH_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg::Type_fr_RH_foot_X_fr_RH_lowerleg()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.33;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_foot_X_fr_RH_lowerleg::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot::Type_fr_trunk_X_fr_LF_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_foot::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,3) = (((((- 0.33 * cos__q_LF_HFE__) * sin__q_LF_KFE__) - (( 0.33 * sin__q_LF_HFE__) * cos__q_LF_KFE__)) - ( 0.35 * sin__q_LF_HFE__)) + 0.3735);
+ (*this)(1,0) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((((( 0.33 * sin__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * sin__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * sin__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * sin__q_LF_HAA__)) + 0.207);
+ (*this)(2,0) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,1) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((((( 0.33 * cos__q_LF_HAA__) * sin__q_LF_HFE__) * sin__q_LF_KFE__) - ((( 0.33 * cos__q_LF_HAA__) * cos__q_LF_HFE__) * cos__q_LF_KFE__)) - (( 0.35 * cos__q_LF_HAA__) * cos__q_LF_HFE__)) - ( 0.08 * cos__q_LF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot::Type_fr_trunk_X_fr_RF_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_foot::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,3) = (((((- 0.33 * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( 0.33 * sin__q_RF_HFE__) * cos__q_RF_KFE__)) - ( 0.35 * sin__q_RF_HFE__)) + 0.3735);
+ (*this)(1,0) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (((((((- 0.33 * sin__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__) + ((( 0.33 * sin__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__)) + (( 0.35 * sin__q_RF_HAA__) * cos__q_RF_HFE__)) + ( 0.08 * sin__q_RF_HAA__)) - 0.207);
+ (*this)(2,0) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,1) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (((((( 0.33 * cos__q_RF_HAA__) * sin__q_RF_HFE__) * sin__q_RF_KFE__) - ((( 0.33 * cos__q_RF_HAA__) * cos__q_RF_HFE__) * cos__q_RF_KFE__)) - (( 0.35 * cos__q_RF_HAA__) * cos__q_RF_HFE__)) - ( 0.08 * cos__q_RF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot::Type_fr_trunk_X_fr_LH_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_foot::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,3) = (((((- 0.33 * cos__q_LH_HFE__) * sin__q_LH_KFE__) - (( 0.33 * sin__q_LH_HFE__) * cos__q_LH_KFE__)) - ( 0.35 * sin__q_LH_HFE__)) - 0.3735);
+ (*this)(1,0) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((((((( 0.33 * sin__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * sin__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * sin__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * sin__q_LH_HAA__)) + 0.207);
+ (*this)(2,0) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,1) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (((((( 0.33 * cos__q_LH_HAA__) * sin__q_LH_HFE__) * sin__q_LH_KFE__) - ((( 0.33 * cos__q_LH_HAA__) * cos__q_LH_HFE__) * cos__q_LH_KFE__)) - (( 0.35 * cos__q_LH_HAA__) * cos__q_LH_HFE__)) - ( 0.08 * cos__q_LH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot::Type_fr_trunk_X_fr_RH_foot()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_foot::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,3) = (((((- 0.33 * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( 0.33 * sin__q_RH_HFE__) * cos__q_RH_KFE__)) - ( 0.35 * sin__q_RH_HFE__)) - 0.3735);
+ (*this)(1,0) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((((((- 0.33 * sin__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__) + ((( 0.33 * sin__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__)) + (( 0.35 * sin__q_RH_HAA__) * cos__q_RH_HFE__)) + ( 0.08 * sin__q_RH_HAA__)) - 0.207);
+ (*this)(2,0) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,1) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((((( 0.33 * cos__q_RH_HAA__) * sin__q_RH_HFE__) * sin__q_RH_KFE__) - ((( 0.33 * cos__q_RH_HAA__) * cos__q_RH_HFE__) * cos__q_RH_KFE__)) - (( 0.35 * cos__q_RH_HAA__) * cos__q_RH_HFE__)) - ( 0.08 * cos__q_RH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk::Type_fr_LF_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_KFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = ((- cos__q_LF_HFE__ * sin__q_LF_KFE__) - ( sin__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(0,1) = ((( sin__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( sin__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,2) = ((( cos__q_LF_HAA__ * sin__q_LF_HFE__) * sin__q_LF_KFE__) - (( cos__q_LF_HAA__ * cos__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(0,3) = (((((( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) + ( 0.3735 * cos__q_LF_HFE__)) * sin__q_LF_KFE__) + (((( 0.3735 * sin__q_LF_HFE__) + ((( 0.207 * sin__q_LF_HAA__) - 0.08) * cos__q_LF_HFE__)) - 0.35) * cos__q_LF_KFE__)) - 0.33);
+ (*this)(1,0) = (( sin__q_LF_HFE__ * sin__q_LF_KFE__) - ( cos__q_LF_HFE__ * cos__q_LF_KFE__));
+ (*this)(1,1) = ((( sin__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( sin__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,2) = ((( cos__q_LF_HAA__ * cos__q_LF_HFE__) * sin__q_LF_KFE__) + (( cos__q_LF_HAA__ * sin__q_LF_HFE__) * cos__q_LF_KFE__));
+ (*this)(1,3) = (((((- 0.3735 * sin__q_LF_HFE__) + (( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * cos__q_LF_HFE__)) + 0.35) * sin__q_LF_KFE__) + (((( 0.08 - ( 0.207 * sin__q_LF_HAA__)) * sin__q_LF_HFE__) + ( 0.3735 * cos__q_LF_HFE__)) * cos__q_LF_KFE__));
+ (*this)(2,1) = cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.207 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk::Type_fr_RF_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_KFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = ((- cos__q_RF_HFE__ * sin__q_RF_KFE__) - ( sin__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(0,1) = ((( sin__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__));
+ (*this)(0,2) = ((( cos__q_RF_HAA__ * sin__q_RF_HFE__) * sin__q_RF_KFE__) - (( cos__q_RF_HAA__ * cos__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(0,3) = (((((( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) + ( 0.3735 * cos__q_RF_HFE__)) * sin__q_RF_KFE__) + (((( 0.3735 * sin__q_RF_HFE__) + ((( 0.207 * sin__q_RF_HAA__) - 0.08) * cos__q_RF_HFE__)) - 0.35) * cos__q_RF_KFE__)) - 0.33);
+ (*this)(1,0) = (( sin__q_RF_HFE__ * sin__q_RF_KFE__) - ( cos__q_RF_HFE__ * cos__q_RF_KFE__));
+ (*this)(1,1) = (((- sin__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) - (( sin__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,2) = ((( cos__q_RF_HAA__ * cos__q_RF_HFE__) * sin__q_RF_KFE__) + (( cos__q_RF_HAA__ * sin__q_RF_HFE__) * cos__q_RF_KFE__));
+ (*this)(1,3) = (((((- 0.3735 * sin__q_RF_HFE__) + (( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * cos__q_RF_HFE__)) + 0.35) * sin__q_RF_KFE__) + (((( 0.08 - ( 0.207 * sin__q_RF_HAA__)) * sin__q_RF_HFE__) + ( 0.3735 * cos__q_RF_HFE__)) * cos__q_RF_KFE__));
+ (*this)(2,1) = cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = ( 0.207 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk::Type_fr_LH_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_KFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = ((- cos__q_LH_HFE__ * sin__q_LH_KFE__) - ( sin__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(0,1) = ((( sin__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( sin__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,2) = ((( cos__q_LH_HAA__ * sin__q_LH_HFE__) * sin__q_LH_KFE__) - (( cos__q_LH_HAA__ * cos__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(0,3) = (((((( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HFE__)) * sin__q_LH_KFE__) + ((((- 0.3735 * sin__q_LH_HFE__) + ((( 0.207 * sin__q_LH_HAA__) - 0.08) * cos__q_LH_HFE__)) - 0.35) * cos__q_LH_KFE__)) - 0.33);
+ (*this)(1,0) = (( sin__q_LH_HFE__ * sin__q_LH_KFE__) - ( cos__q_LH_HFE__ * cos__q_LH_KFE__));
+ (*this)(1,1) = ((( sin__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( sin__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,2) = ((( cos__q_LH_HAA__ * cos__q_LH_HFE__) * sin__q_LH_KFE__) + (( cos__q_LH_HAA__ * sin__q_LH_HFE__) * cos__q_LH_KFE__));
+ (*this)(1,3) = ((((( 0.3735 * sin__q_LH_HFE__) + (( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * cos__q_LH_HFE__)) + 0.35) * sin__q_LH_KFE__) + (((( 0.08 - ( 0.207 * sin__q_LH_HAA__)) * sin__q_LH_HFE__) - ( 0.3735 * cos__q_LH_HFE__)) * cos__q_LH_KFE__));
+ (*this)(2,1) = cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (- 0.207 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk::Type_fr_RH_foot_X_fr_trunk()
+{
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_foot_X_fr_trunk::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_KFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = ((- cos__q_RH_HFE__ * sin__q_RH_KFE__) - ( sin__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(0,1) = ((( sin__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__));
+ (*this)(0,2) = ((( cos__q_RH_HAA__ * sin__q_RH_HFE__) * sin__q_RH_KFE__) - (( cos__q_RH_HAA__ * cos__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(0,3) = (((((( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HFE__)) * sin__q_RH_KFE__) + ((((- 0.3735 * sin__q_RH_HFE__) + ((( 0.207 * sin__q_RH_HAA__) - 0.08) * cos__q_RH_HFE__)) - 0.35) * cos__q_RH_KFE__)) - 0.33);
+ (*this)(1,0) = (( sin__q_RH_HFE__ * sin__q_RH_KFE__) - ( cos__q_RH_HFE__ * cos__q_RH_KFE__));
+ (*this)(1,1) = (((- sin__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) - (( sin__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,2) = ((( cos__q_RH_HAA__ * cos__q_RH_HFE__) * sin__q_RH_KFE__) + (( cos__q_RH_HAA__ * sin__q_RH_HFE__) * cos__q_RH_KFE__));
+ (*this)(1,3) = ((((( 0.3735 * sin__q_RH_HFE__) + (( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * cos__q_RH_HFE__)) + 0.35) * sin__q_RH_KFE__) + (((( 0.08 - ( 0.207 * sin__q_RH_HAA__)) * sin__q_RH_HFE__) - ( 0.3735 * cos__q_RH_HFE__)) * cos__q_RH_KFE__));
+ (*this)(2,1) = cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = ( 0.207 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA::Type_fr_trunk_X_fr_LF_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = 0.3735;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0.207;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA::Type_fr_trunk_X_fr_RF_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0.3735;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = - 0.207;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA::Type_fr_trunk_X_fr_LH_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = - 1.0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0.207;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA::Type_fr_trunk_X_fr_RH_HAA()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = - 0.207;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HAA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE::Type_fr_trunk_X_fr_LF_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.3735;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_HFE::update(const JState& q) {
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(1,0) = - sin__q_LF_HAA__;
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ( 0.207 - ( 0.08 * sin__q_LF_HAA__));
+ (*this)(2,0) = - cos__q_LF_HAA__;
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_LF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE::Type_fr_trunk_X_fr_RF_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.3735;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_HFE::update(const JState& q) {
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(1,0) = sin__q_RF_HAA__;
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (( 0.08 * sin__q_RF_HAA__) - 0.207);
+ (*this)(2,0) = - cos__q_RF_HAA__;
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_RF_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE::Type_fr_trunk_X_fr_LH_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_HFE::update(const JState& q) {
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(1,0) = - sin__q_LH_HAA__;
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ( 0.207 - ( 0.08 * sin__q_LH_HAA__));
+ (*this)(2,0) = - cos__q_LH_HAA__;
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_LH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE::Type_fr_trunk_X_fr_RH_HFE()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = - 1.0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = - 0.3735;
+ (*this)(1,1) = 0;
+ (*this)(2,1) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_HFE::update(const JState& q) {
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(1,0) = sin__q_RH_HAA__;
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (( 0.08 * sin__q_RH_HAA__) - 0.207);
+ (*this)(2,0) = - cos__q_RH_HAA__;
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (- 0.08 * cos__q_RH_HAA__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE::Type_fr_trunk_X_fr_LF_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LF_KFE::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar sin__q_LF_HAA__;
+ Scalar cos__q_LF_HFE__;
+ Scalar cos__q_LF_HAA__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ sin__q_LF_HAA__ = TRAIT::sin( q(LF_HAA));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+ cos__q_LF_HAA__ = TRAIT::cos( q(LF_HAA));
+
+ (*this)(0,0) = - sin__q_LF_HFE__;
+ (*this)(0,1) = - cos__q_LF_HFE__;
+ (*this)(0,3) = ( 0.3735 - ( 0.35 * sin__q_LF_HFE__));
+ (*this)(1,0) = (- sin__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(1,1) = ( sin__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(1,2) = cos__q_LF_HAA__;
+ (*this)(1,3) = ((((- 0.35 * sin__q_LF_HAA__) * cos__q_LF_HFE__) - ( 0.08 * sin__q_LF_HAA__)) + 0.207);
+ (*this)(2,0) = (- cos__q_LF_HAA__ * cos__q_LF_HFE__);
+ (*this)(2,1) = ( cos__q_LF_HAA__ * sin__q_LF_HFE__);
+ (*this)(2,2) = - sin__q_LF_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_LF_HAA__) * cos__q_LF_HFE__) - ( 0.08 * cos__q_LF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE::Type_fr_trunk_X_fr_RF_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RF_KFE::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar sin__q_RF_HAA__;
+ Scalar cos__q_RF_HFE__;
+ Scalar cos__q_RF_HAA__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ sin__q_RF_HAA__ = TRAIT::sin( q(RF_HAA));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+ cos__q_RF_HAA__ = TRAIT::cos( q(RF_HAA));
+
+ (*this)(0,0) = - sin__q_RF_HFE__;
+ (*this)(0,1) = - cos__q_RF_HFE__;
+ (*this)(0,3) = ( 0.3735 - ( 0.35 * sin__q_RF_HFE__));
+ (*this)(1,0) = ( sin__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(1,1) = (- sin__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(1,2) = cos__q_RF_HAA__;
+ (*this)(1,3) = (((( 0.35 * sin__q_RF_HAA__) * cos__q_RF_HFE__) + ( 0.08 * sin__q_RF_HAA__)) - 0.207);
+ (*this)(2,0) = (- cos__q_RF_HAA__ * cos__q_RF_HFE__);
+ (*this)(2,1) = ( cos__q_RF_HAA__ * sin__q_RF_HFE__);
+ (*this)(2,2) = sin__q_RF_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_RF_HAA__) * cos__q_RF_HFE__) - ( 0.08 * cos__q_RF_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE::Type_fr_trunk_X_fr_LH_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_LH_KFE::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar sin__q_LH_HAA__;
+ Scalar cos__q_LH_HFE__;
+ Scalar cos__q_LH_HAA__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ sin__q_LH_HAA__ = TRAIT::sin( q(LH_HAA));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+ cos__q_LH_HAA__ = TRAIT::cos( q(LH_HAA));
+
+ (*this)(0,0) = - sin__q_LH_HFE__;
+ (*this)(0,1) = - cos__q_LH_HFE__;
+ (*this)(0,3) = ((- 0.35 * sin__q_LH_HFE__) - 0.3735);
+ (*this)(1,0) = (- sin__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(1,1) = ( sin__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(1,2) = cos__q_LH_HAA__;
+ (*this)(1,3) = ((((- 0.35 * sin__q_LH_HAA__) * cos__q_LH_HFE__) - ( 0.08 * sin__q_LH_HAA__)) + 0.207);
+ (*this)(2,0) = (- cos__q_LH_HAA__ * cos__q_LH_HFE__);
+ (*this)(2,1) = ( cos__q_LH_HAA__ * sin__q_LH_HFE__);
+ (*this)(2,2) = - sin__q_LH_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_LH_HAA__) * cos__q_LH_HFE__) - ( 0.08 * cos__q_LH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE::Type_fr_trunk_X_fr_RH_KFE()
+{
+ (*this)(0,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_trunk_X_fr_RH_KFE::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar sin__q_RH_HAA__;
+ Scalar cos__q_RH_HFE__;
+ Scalar cos__q_RH_HAA__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ sin__q_RH_HAA__ = TRAIT::sin( q(RH_HAA));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+ cos__q_RH_HAA__ = TRAIT::cos( q(RH_HAA));
+
+ (*this)(0,0) = - sin__q_RH_HFE__;
+ (*this)(0,1) = - cos__q_RH_HFE__;
+ (*this)(0,3) = ((- 0.35 * sin__q_RH_HFE__) - 0.3735);
+ (*this)(1,0) = ( sin__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(1,1) = (- sin__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(1,2) = cos__q_RH_HAA__;
+ (*this)(1,3) = (((( 0.35 * sin__q_RH_HAA__) * cos__q_RH_HFE__) + ( 0.08 * sin__q_RH_HAA__)) - 0.207);
+ (*this)(2,0) = (- cos__q_RH_HAA__ * cos__q_RH_HFE__);
+ (*this)(2,1) = ( cos__q_RH_HAA__ * sin__q_RH_HFE__);
+ (*this)(2,2) = sin__q_RH_HAA__;
+ (*this)(2,3) = (((- 0.35 * cos__q_RH_HAA__) * cos__q_RH_HFE__) - ( 0.08 * cos__q_RH_HAA__));
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly::Type_fr_LF_upperleg_X_fr_LF_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_hipassembly::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+
+ (*this)(0,0) = cos__q_LF_HFE__;
+ (*this)(0,2) = sin__q_LF_HFE__;
+ (*this)(0,3) = (- 0.08 * cos__q_LF_HFE__);
+ (*this)(1,0) = - sin__q_LF_HFE__;
+ (*this)(1,2) = cos__q_LF_HFE__;
+ (*this)(1,3) = ( 0.08 * sin__q_LF_HFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg::Type_fr_LF_hipassembly_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.08;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_hipassembly_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_HFE__;
+ Scalar cos__q_LF_HFE__;
+
+ sin__q_LF_HFE__ = TRAIT::sin( q(LF_HFE));
+ cos__q_LF_HFE__ = TRAIT::cos( q(LF_HFE));
+
+ (*this)(0,0) = cos__q_LF_HFE__;
+ (*this)(0,1) = - sin__q_LF_HFE__;
+ (*this)(2,0) = sin__q_LF_HFE__;
+ (*this)(2,1) = cos__q_LF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg::Type_fr_LF_lowerleg_X_fr_LF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_lowerleg_X_fr_LF_upperleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+
+ (*this)(0,0) = cos__q_LF_KFE__;
+ (*this)(0,1) = sin__q_LF_KFE__;
+ (*this)(0,3) = (- 0.35 * cos__q_LF_KFE__);
+ (*this)(1,0) = - sin__q_LF_KFE__;
+ (*this)(1,1) = cos__q_LF_KFE__;
+ (*this)(1,3) = ( 0.35 * sin__q_LF_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg::Type_fr_LF_upperleg_X_fr_LF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.35;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LF_upperleg_X_fr_LF_lowerleg::update(const JState& q) {
+ Scalar sin__q_LF_KFE__;
+ Scalar cos__q_LF_KFE__;
+
+ sin__q_LF_KFE__ = TRAIT::sin( q(LF_KFE));
+ cos__q_LF_KFE__ = TRAIT::cos( q(LF_KFE));
+
+ (*this)(0,0) = cos__q_LF_KFE__;
+ (*this)(0,1) = - sin__q_LF_KFE__;
+ (*this)(1,0) = sin__q_LF_KFE__;
+ (*this)(1,1) = cos__q_LF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly::Type_fr_RF_upperleg_X_fr_RF_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_hipassembly::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+
+ (*this)(0,0) = cos__q_RF_HFE__;
+ (*this)(0,2) = - sin__q_RF_HFE__;
+ (*this)(0,3) = (- 0.08 * cos__q_RF_HFE__);
+ (*this)(1,0) = - sin__q_RF_HFE__;
+ (*this)(1,2) = - cos__q_RF_HFE__;
+ (*this)(1,3) = ( 0.08 * sin__q_RF_HFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg::Type_fr_RF_hipassembly_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.08;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_hipassembly_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_HFE__;
+ Scalar cos__q_RF_HFE__;
+
+ sin__q_RF_HFE__ = TRAIT::sin( q(RF_HFE));
+ cos__q_RF_HFE__ = TRAIT::cos( q(RF_HFE));
+
+ (*this)(0,0) = cos__q_RF_HFE__;
+ (*this)(0,1) = - sin__q_RF_HFE__;
+ (*this)(2,0) = - sin__q_RF_HFE__;
+ (*this)(2,1) = - cos__q_RF_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg::Type_fr_RF_lowerleg_X_fr_RF_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_lowerleg_X_fr_RF_upperleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+
+ (*this)(0,0) = cos__q_RF_KFE__;
+ (*this)(0,1) = sin__q_RF_KFE__;
+ (*this)(0,3) = (- 0.35 * cos__q_RF_KFE__);
+ (*this)(1,0) = - sin__q_RF_KFE__;
+ (*this)(1,1) = cos__q_RF_KFE__;
+ (*this)(1,3) = ( 0.35 * sin__q_RF_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg::Type_fr_RF_upperleg_X_fr_RF_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.35;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RF_upperleg_X_fr_RF_lowerleg::update(const JState& q) {
+ Scalar sin__q_RF_KFE__;
+ Scalar cos__q_RF_KFE__;
+
+ sin__q_RF_KFE__ = TRAIT::sin( q(RF_KFE));
+ cos__q_RF_KFE__ = TRAIT::cos( q(RF_KFE));
+
+ (*this)(0,0) = cos__q_RF_KFE__;
+ (*this)(0,1) = - sin__q_RF_KFE__;
+ (*this)(1,0) = sin__q_RF_KFE__;
+ (*this)(1,1) = cos__q_RF_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly::Type_fr_LH_upperleg_X_fr_LH_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_hipassembly::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+
+ (*this)(0,0) = cos__q_LH_HFE__;
+ (*this)(0,2) = sin__q_LH_HFE__;
+ (*this)(0,3) = (- 0.08 * cos__q_LH_HFE__);
+ (*this)(1,0) = - sin__q_LH_HFE__;
+ (*this)(1,2) = cos__q_LH_HFE__;
+ (*this)(1,3) = ( 0.08 * sin__q_LH_HFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg::Type_fr_LH_hipassembly_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.08;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_hipassembly_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_HFE__;
+ Scalar cos__q_LH_HFE__;
+
+ sin__q_LH_HFE__ = TRAIT::sin( q(LH_HFE));
+ cos__q_LH_HFE__ = TRAIT::cos( q(LH_HFE));
+
+ (*this)(0,0) = cos__q_LH_HFE__;
+ (*this)(0,1) = - sin__q_LH_HFE__;
+ (*this)(2,0) = sin__q_LH_HFE__;
+ (*this)(2,1) = cos__q_LH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg::Type_fr_LH_lowerleg_X_fr_LH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_lowerleg_X_fr_LH_upperleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+
+ (*this)(0,0) = cos__q_LH_KFE__;
+ (*this)(0,1) = sin__q_LH_KFE__;
+ (*this)(0,3) = (- 0.35 * cos__q_LH_KFE__);
+ (*this)(1,0) = - sin__q_LH_KFE__;
+ (*this)(1,1) = cos__q_LH_KFE__;
+ (*this)(1,3) = ( 0.35 * sin__q_LH_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg::Type_fr_LH_upperleg_X_fr_LH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.35;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_LH_upperleg_X_fr_LH_lowerleg::update(const JState& q) {
+ Scalar sin__q_LH_KFE__;
+ Scalar cos__q_LH_KFE__;
+
+ sin__q_LH_KFE__ = TRAIT::sin( q(LH_KFE));
+ cos__q_LH_KFE__ = TRAIT::cos( q(LH_KFE));
+
+ (*this)(0,0) = cos__q_LH_KFE__;
+ (*this)(0,1) = - sin__q_LH_KFE__;
+ (*this)(1,0) = sin__q_LH_KFE__;
+ (*this)(1,1) = cos__q_LH_KFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly::Type_fr_RH_upperleg_X_fr_RH_hipassembly()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_hipassembly::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+
+ (*this)(0,0) = cos__q_RH_HFE__;
+ (*this)(0,2) = - sin__q_RH_HFE__;
+ (*this)(0,3) = (- 0.08 * cos__q_RH_HFE__);
+ (*this)(1,0) = - sin__q_RH_HFE__;
+ (*this)(1,2) = - cos__q_RH_HFE__;
+ (*this)(1,3) = ( 0.08 * sin__q_RH_HFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg::Type_fr_RH_hipassembly_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.08;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_hipassembly_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_HFE__;
+ Scalar cos__q_RH_HFE__;
+
+ sin__q_RH_HFE__ = TRAIT::sin( q(RH_HFE));
+ cos__q_RH_HFE__ = TRAIT::cos( q(RH_HFE));
+
+ (*this)(0,0) = cos__q_RH_HFE__;
+ (*this)(0,1) = - sin__q_RH_HFE__;
+ (*this)(2,0) = - sin__q_RH_HFE__;
+ (*this)(2,1) = - cos__q_RH_HFE__;
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg::Type_fr_RH_lowerleg_X_fr_RH_upperleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_lowerleg_X_fr_RH_upperleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+
+ (*this)(0,0) = cos__q_RH_KFE__;
+ (*this)(0,1) = sin__q_RH_KFE__;
+ (*this)(0,3) = (- 0.35 * cos__q_RH_KFE__);
+ (*this)(1,0) = - sin__q_RH_KFE__;
+ (*this)(1,1) = cos__q_RH_KFE__;
+ (*this)(1,3) = ( 0.35 * sin__q_RH_KFE__);
+ return *this;
+}
+template <typename TRAIT>
+iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg::Type_fr_RH_upperleg_X_fr_RH_lowerleg()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0.35;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg& iit::HyQ::tpl::HomogeneousTransforms<TRAIT>::Type_fr_RH_upperleg_X_fr_RH_lowerleg::update(const JState& q) {
+ Scalar sin__q_RH_KFE__;
+ Scalar cos__q_RH_KFE__;
+
+ sin__q_RH_KFE__ = TRAIT::sin( q(RH_KFE));
+ cos__q_RH_KFE__ = TRAIT::cos( q(RH_KFE));
+
+ (*this)(0,0) = cos__q_RH_KFE__;
+ (*this)(0,1) = - sin__q_RH_KFE__;
+ (*this)(1,0) = sin__q_RH_KFE__;
+ (*this)(1,1) = cos__q_RH_KFE__;
+ return *this;
+}
+
diff --git a/ct_models/include/ct/models/InvertedPendulum/InvertedPendulum.h b/ct_models/include/ct/models/InvertedPendulum/InvertedPendulum.h
new file mode 100644
index 0000000..8a2b6d7
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/InvertedPendulum.h
@@ -0,0 +1,39 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <Eigen/Core>
+#include <Eigen/StdVector>
+
+#include "generated/declarations.h"
+#include "generated/jsim.h"
+#include "generated/jacobians.h"
+#include "generated/traits.h"
+#include "generated/forward_dynamics.h"
+#include "generated/inertia_properties.h"
+#include "generated/inverse_dynamics.h"
+#include "generated/transforms.h"
+#include "generated/link_data_map.h"
+
+// define namespace and base
+#define ROBCOGEN_NS ct_InvertedPendulum
+#define TARGET_NS InvertedPendulum
+
+// define the links
+#define CT_BASE fr_InvertedPendulumBase
+#define CT_L0 fr_Link1
+
+// define single end effector (could also be multiple)
+#define CT_N_EE 1
+#define CT_EE0 fr_ee
+#define CT_EE0_IS_ON_LINK 0
+#define CT_EE0_FIRST_JOINT 0
+#define CT_EE0_LAST_JOINT 0
+
+#include <ct/rbd/robot/robcogen/robcogenHelpers.h>
+#include "InvertedPendulumJointLimits.h"
+#include "InvertedPendulumUrdfNames.h"
diff --git a/ct_models/include/ct/models/InvertedPendulum/InvertedPendulumJointLimits.h b/ct_models/include/ct/models/InvertedPendulum/InvertedPendulumJointLimits.h
new file mode 100644
index 0000000..33ae56b
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/InvertedPendulumJointLimits.h
@@ -0,0 +1,44 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <math.h>
+
+namespace ct {
+namespace models {
+namespace InvertedPendulum {
+
+template <typename SCALAR = double>
+const typename ct::rbd::tpl::JointState<1, SCALAR>::Position& jointLowerLimit()
+{
+ static typename ct::rbd::tpl::JointState<1, SCALAR>::Position jointLowerLimit;
+ jointLowerLimit << -M_PI;
+
+ return jointLowerLimit;
+}
+
+template <typename SCALAR = double>
+const typename ct::rbd::tpl::JointState<1, SCALAR>::Position& jointUpperLimit()
+{
+ static typename ct::rbd::tpl::JointState<1, SCALAR>::Position jointUpperLimit;
+ jointUpperLimit << M_PI;
+
+ return jointUpperLimit;
+}
+
+template <typename SCALAR = double>
+const typename ct::rbd::tpl::JointState<1, SCALAR>::Velocity& jointVelocityLimit()
+{
+ static typename ct::rbd::tpl::JointState<1, SCALAR>::Velocity jointVelocityLimit;
+ jointVelocityLimit << 2.0;
+
+ return jointVelocityLimit;
+}
+
+}
+}
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/InvertedPendulumUrdfNames.h b/ct_models/include/ct/models/InvertedPendulum/InvertedPendulumUrdfNames.h
new file mode 100644
index 0000000..e1af1f5
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/InvertedPendulumUrdfNames.h
@@ -0,0 +1,23 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+namespace InvertedPendulum {
+
+const std::vector<std::string>& urdfJointNames()
+{
+ static std::vector<std::string> urdfJointNames{
+ "Joint1",
+ };
+
+ return urdfJointNames;
+}
+}
+}
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/CMakeLists.txt b/ct_models/include/ct/models/InvertedPendulum/generated/CMakeLists.txt
new file mode 100644
index 0000000..b7ced32
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/CMakeLists.txt
@@ -0,0 +1,51 @@
+#-------------------------------------------------------------------------------
+#
+# CMake file for the autogenerated C++ code for the robot ct_InvertedPendulum
+#
+# ADVanced Robotics department (ADVR)
+# Fondazione Istituto Italiano di Tecnologia
+#
+# Author: Marco Frigerio
+# Note: this file has been generated by the Robotics Code Generator.
+# Do not edit unless you know what you are doing.
+#-------------------------------------------------------------------------------
+
+# Project configuration
+cmake_minimum_required(VERSION 2.8)
+project(gen_ct_invertedpendulum)
+
+set(EIGEN_ROOT $ENV{EIGEN_ROOT} CACHE PATH "Path to Eigen headers")
+set(HEADER_INSTALL_ROOT /usr/local/include/ CACHE PATH "Where to install ct_InvertedPendulum headers")
+set(LIB_INSTALL_ROOT /usr/local/lib/ CACHE PATH "Where to install ct_InvertedPendulum library")
+
+SET(CMAKE_CXX_FLAGS "-g -std=c++11 -Wall -O3 -march=native -mtune=native -D EIGEN_NO_DEBUG")
+
+set(LIB_NAME iitgenct_invertedpendulum)
+
+set(HEADERS ./declarations.h
+ ./link_data_map.h
+ ./joint_data_map.h
+ ./transforms.h
+ ./kinematics_parameters.h
+ ./jacobians.h
+ ./traits.h
+ ./jsim.h
+ ./inverse_dynamics.h
+ ./forward_dynamics.h
+ ./inertia_properties.h
+ ./dynamics_parameters.h
+ ./miscellaneous.h)
+set(SOURCES ./miscellaneous.cpp)
+
+
+# Include directories
+include_directories(${EIGEN_ROOT})
+
+# Add library
+add_library(${LIB_NAME} SHARED ${SOURCES})
+
+# Install (ie copy) header files
+install(FILES ${HEADERS} DESTINATION ${HEADER_INSTALL_ROOT}/iit/robots/ct_invertedpendulum/)
+
+# Install the shared library
+install(TARGETS ${LIB_NAME} LIBRARY DESTINATION ${LIB_INSTALL_ROOT})
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/declarations.h b/ct_models/include/ct/models/InvertedPendulum/generated/declarations.h
new file mode 100644
index 0000000..1f46fb8
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/declarations.h
@@ -0,0 +1,42 @@
+#ifndef IIT_ROBOT_CT_INVERTEDPENDULUM_DECLARATIONS_H_
+#define IIT_ROBOT_CT_INVERTEDPENDULUM_DECLARATIONS_H_
+
+#include <iit/rbd/rbd.h>
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+static const int JointSpaceDimension = 1;
+static const int jointsCount = 1;
+/** The total number of rigid bodies of this robot, including the base */
+static const int linksCount = 2;
+
+namespace tpl {
+template <typename SCALAR>
+using Column1d = iit::rbd::PlainMatrix<SCALAR, 1, 1>;
+
+template <typename SCALAR>
+using JointState = Column1d<SCALAR>;
+}
+
+using Column1d = tpl::Column1d<double>;
+typedef Column1d JointState;
+
+enum JointIdentifiers {
+ JOINT1 = 0
+};
+
+enum LinkIdentifiers {
+ INVERTEDPENDULUMBASE = 0
+ , LINK1
+};
+
+static const JointIdentifiers orderedJointIDs[jointsCount] =
+ {JOINT1};
+
+static const LinkIdentifiers orderedLinkIDs[linksCount] =
+ {INVERTEDPENDULUMBASE,LINK1};
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/default_dynparams_getter.h b/ct_models/include/ct/models/InvertedPendulum/generated/default_dynparams_getter.h
new file mode 100644
index 0000000..6e08af6
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/default_dynparams_getter.h
@@ -0,0 +1,30 @@
+#ifndef _CT_INVERTEDPENDULUM_DEFAULT_GETTER_INERTIA_PARAMETERS_
+#define _CT_INVERTEDPENDULUM_DEFAULT_GETTER_INERTIA_PARAMETERS_
+
+#include "dynamics_parameters.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+namespace dyn {
+
+class DefaultParamsGetter : public RuntimeParamsGetter
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ DefaultParamsGetter() {
+ resetDefaults();
+ }
+ ~DefaultParamsGetter() {};
+
+ public:
+ void resetDefaults() {
+ }
+
+ private:
+ RuntimeInertiaParams values;
+};
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/dynamics_parameters.h b/ct_models/include/ct/models/InvertedPendulum/generated/dynamics_parameters.h
new file mode 100644
index 0000000..574df2d
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/dynamics_parameters.h
@@ -0,0 +1,43 @@
+#ifndef _CT_INVERTEDPENDULUM_RUNTIME_INERTIA_PARAMETERS_
+#define _CT_INVERTEDPENDULUM_RUNTIME_INERTIA_PARAMETERS_
+
+namespace iit {
+namespace ct_InvertedPendulum {
+namespace dyn {
+/**
+ * \defgroup dynparams Dynamics-parameters
+ * Facilities related to the parameters of the inertia properties of the
+ * robot ct_InvertedPendulum.
+ *
+ * Inertia parameters are non-constants used in the robot model, where the
+ * inertia properties (mass, center of mass, intertia tensor) of the links
+ * are specified. Since the value of such parameters must be resolved
+ * at runtime, we sometimes refer to them as "runtime parameters", "runtime
+ * dynamics parameters", "runtime inertia parameters", etc.
+ *
+ * Do not confuse them with the "inertia properties" of links, which
+ * unfortunately, in the literature, are commonly referred to as
+ * "inertia parameters"... Here, the parameters are the non-constant
+ * fields of the inertia properties.
+ */
+
+ /**
+ * A container for the set of non-constant inertia parameters of the robot ct_InvertedPendulum
+ * \ingroup dynparams
+ */
+ struct RuntimeInertiaParams {
+ };
+
+ /**
+ * The interface for classes that can compute the actual value of the
+ * non-constant inertia parameters of the robot ct_InvertedPendulum.
+ * \ingroup dynparams
+ */
+ class RuntimeParamsGetter {
+ public:
+ };
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/forward_dynamics.h b/ct_models/include/ct/models/InvertedPendulum/generated/forward_dynamics.h
new file mode 100644
index 0000000..37eef61
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/forward_dynamics.h
@@ -0,0 +1,130 @@
+#ifndef IIT_ROBOT_CT_INVERTEDPENDULUM_FORWARD_DYNAMICS_H_
+#define IIT_ROBOT_CT_INVERTEDPENDULUM_FORWARD_DYNAMICS_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+namespace dyn {
+
+/**
+ * The Forward Dynamics routine for the robot ct_InvertedPendulum.
+ *
+ * The parameters common to most of the methods are the joint status \c q, the
+ * joint velocities \c qd and the joint forces \c tau. The accelerations \c qdd
+ * will be filled with the computed values. Overloaded methods without the \c q
+ * parameter use the current configuration of the robot; they are provided for
+ * the sake of efficiency, in case the kinematics transforms of the robot have
+ * already been updated elsewhere with the most recent configuration (eg by a
+ * call to setJointStatus()), so that it would be useless to compute them again.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class ForwardDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ // Convenient type aliases:
+
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Column6D Column6DS;
+ typedef typename CoreS::Matrix66 Matrix66S;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef typename iit::ct_InvertedPendulum::tpl::JointState<Scalar> JointState;
+ typedef iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT> MTransforms;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_InvertedPendulum, which will be used by this instance
+ * to compute the dynamics.
+ */
+ ForwardDynamics(InertiaProperties<TRAIT>& in, MTransforms& tr);
+ /** \name Forward dynamics
+ * The Articulated-Body-Algorithm to compute the joint accelerations
+ */ ///@{
+ /**
+ * \param qdd the joint accelerations vector (output parameter).
+ * \param q the joint status vector
+ * \param qd the joint velocities vector
+ * \param tau the joint forces (torque or force)
+ * \param fext the external forces, optional. Each force must be
+ * expressed in the reference frame of the link it is
+ * exerted on.
+ */
+ void fd(
+ JointState& qdd, // output parameter
+ const JointState& q, const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ void fd(
+ JointState& qdd, // output parameter
+ const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** Updates all the kinematics transforms used by this instance. */
+ void setJointStatus(const JointState& q) const;
+
+private:
+ InertiaProperties<TRAIT>* inertiaProps;
+ MTransforms* motionTransforms;
+
+ Matrix66S vcross; // support variable
+ Matrix66S Ia_r; // support variable, articulated inertia in the case of a revolute joint
+
+ // Link 'Link1' :
+ Matrix66S Link1_AI;
+ Velocity Link1_a;
+ Velocity Link1_v;
+ Velocity Link1_c;
+ Force Link1_p;
+
+ Column6DS Link1_U;
+ Scalar Link1_D;
+ Scalar Link1_u;
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::setJointStatus(const JointState& q) const {
+ (motionTransforms-> fr_Link1_X_fr_InvertedPendulumBase)(q);
+}
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ const JointState& q,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+ setJointStatus(q);
+ fd(qdd, qd, tau, fext);
+}
+
+}
+
+typedef tpl::ForwardDynamics<iit::rbd::DoubleTrait> ForwardDynamics;
+
+}
+}
+}
+
+#include "forward_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/forward_dynamics.impl.h b/ct_models/include/ct/models/InvertedPendulum/generated/forward_dynamics.impl.h
new file mode 100644
index 0000000..a710280
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/forward_dynamics.impl.h
@@ -0,0 +1,61 @@
+
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::ExtForces
+ iit::ct_InvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::ForwardDynamics(iit::ct_InvertedPendulum::dyn::tpl::InertiaProperties<TRAIT>& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ motionTransforms( & transforms )
+{
+ Link1_v.setZero();
+ Link1_c.setZero();
+
+ vcross.setZero();
+ Ia_r.setZero();
+
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+
+ Link1_AI = inertiaProps->getTensor_Link1();
+ Link1_p = - fext[LINK1];
+ // ---------------------- FIRST PASS ---------------------- //
+ // Note that, during the first pass, the articulated inertias are really
+ // just the spatial inertia of the links (see assignments above).
+ // Afterwards things change, and articulated inertias shall not be used
+ // in functions which work specifically with spatial inertias.
+
+ // + Link Link1
+ // - The spatial velocity:
+ Link1_v(iit::rbd::AZ) = qd(JOINT1);
+
+ // - The bias force term:
+ Link1_p += iit::rbd::vxIv(qd(JOINT1), Link1_AI);
+
+
+ // ---------------------- SECOND PASS ---------------------- //
+ Matrix66S IaB;
+ Force pa;
+
+ // + Link Link1
+ Link1_u = tau(JOINT1) - Link1_p(iit::rbd::AZ);
+ Link1_U = Link1_AI.col(iit::rbd::AZ);
+ Link1_D = Link1_U(iit::rbd::AZ);
+
+
+
+ // ---------------------- THIRD PASS ---------------------- //
+ Link1_a = (motionTransforms-> fr_Link1_X_fr_InvertedPendulumBase).col(iit::rbd::LZ) * Scalar(iit::rbd::g);
+ qdd(JOINT1) = (Link1_u - Link1_U.dot(Link1_a)) / Link1_D;
+ Link1_a(iit::rbd::AZ) += qdd(JOINT1);
+
+
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/inertia_properties.h b/ct_models/include/ct/models/InvertedPendulum/generated/inertia_properties.h
new file mode 100644
index 0000000..21eb6c4
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/inertia_properties.h
@@ -0,0 +1,77 @@
+#ifndef IIT_ROBOT_CT_INVERTEDPENDULUM_INERTIA_PROPERTIES_H_
+#define IIT_ROBOT_CT_INVERTEDPENDULUM_INERTIA_PROPERTIES_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+/**
+ * This namespace encloses classes and functions related to the Dynamics
+ * of the robot ct_InvertedPendulum.
+ */
+namespace dyn {
+
+using InertiaMatrix = iit::rbd::InertiaMatrixDense;
+
+namespace tpl {
+
+template <typename TRAIT>
+class InertiaProperties {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+ typedef iit::rbd::Core<Scalar> CoreS;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> IMatrix;
+ typedef typename CoreS::Vector3 Vec3d;
+
+ InertiaProperties();
+ ~InertiaProperties();
+ const IMatrix& getTensor_Link1() const;
+ Scalar getMass_Link1() const;
+ const Vec3d& getCOM_Link1() const;
+ Scalar getTotalMass() const;
+
+ private:
+
+ IMatrix tensor_Link1;
+ Vec3d com_Link1;
+};
+
+template <typename TRAIT>
+inline InertiaProperties<TRAIT>::~InertiaProperties() {}
+
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_Link1() const {
+ return this->tensor_Link1;
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getMass_Link1() const {
+ return this->tensor_Link1.getMass();
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_Link1() const {
+ return this->com_Link1;
+}
+
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::Scalar InertiaProperties<TRAIT>::getTotalMass() const {
+ return 1.0;
+}
+
+}
+
+using InertiaProperties = tpl::InertiaProperties<rbd::DoubleTrait>;
+
+}
+}
+}
+
+#include "inertia_properties.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/inertia_properties.impl.h b/ct_models/include/ct/models/InvertedPendulum/generated/inertia_properties.impl.h
new file mode 100644
index 0000000..c3eb172
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/inertia_properties.impl.h
@@ -0,0 +1,17 @@
+template <typename TRAIT>
+iit::ct_InvertedPendulum::dyn::tpl::InertiaProperties<TRAIT>::InertiaProperties()
+{
+ com_Link1 = iit::rbd::Vector3d(0.5,0.0,0.0).cast<Scalar>();
+ tensor_Link1.fill(
+ Scalar(1.0),
+ com_Link1,
+ rbd::Utils::buildInertiaTensor(
+ Scalar(5.0E-4),
+ Scalar(0.251),
+ Scalar(0.2505),
+ Scalar(0.0),
+ Scalar(0.0),
+ Scalar(-2.1855406E-11)) );
+
+}
+
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/inverse_dynamics.h b/ct_models/include/ct/models/InvertedPendulum/generated/inverse_dynamics.h
new file mode 100644
index 0000000..8a30501
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/inverse_dynamics.h
@@ -0,0 +1,193 @@
+#ifndef IIT_CT_INVERTEDPENDULUM_INVERSE_DYNAMICS_H_
+#define IIT_CT_INVERTEDPENDULUM_INVERSE_DYNAMICS_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+#include "inertia_properties.h"
+#include "transforms.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+namespace dyn {
+
+/**
+ * The Inverse Dynamics routine for the robot ct_InvertedPendulum.
+ *
+ * In addition to the full Newton-Euler algorithm, specialized versions to compute
+ * only certain terms are provided.
+ * The parameters common to most of the methods are the joint status vector \c q, the
+ * joint velocity vector \c qd and the acceleration vector \c qdd.
+ *
+ * Additional overloaded methods are provided without the \c q parameter. These
+ * methods use the current configuration of the robot; they are provided for the
+ * sake of efficiency, in case the motion transforms of the robot have already
+ * been updated elsewhere with the most recent configuration (eg by a call to
+ * setJointStatus()), so that it is useless to compute them again.
+ *
+ * Whenever present, the external forces parameter is a set of external
+ * wrenches acting on the robot links. Each wrench must be expressed in
+ * the reference frame of the link it is excerted on.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class InverseDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Matrix66 Matrix66s;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+ typedef iit::ct_InvertedPendulum::tpl::JointState<Scalar> JointState;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT> MTransforms;
+ typedef InertiaProperties<TRAIT> IProperties;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_InvertedPendulum, which will be used by this instance
+ * to compute inverse-dynamics.
+ */
+ InverseDynamics(IProperties& in, MTransforms& tr);
+
+ /** \name Inverse dynamics
+ * The full Newton-Euler algorithm for the inverse dynamics of this robot.
+ *
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */
+ ///@{
+ void id(
+ JointState& jForces,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ void id(
+ JointState& jForces,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** \name Gravity terms
+ * The joint forces (linear or rotational) required to compensate
+ * for the effect of gravity, in a specific configuration.
+ */
+ ///@{
+ void G_terms(JointState& jForces, const JointState& q);
+ void G_terms(JointState& jForces);
+ ///@}
+
+ /** \name Centrifugal and Coriolis terms
+ * The forces (linear or rotational) acting on the joints due to centrifugal and
+ * Coriolis effects, for a specific configuration.
+ */
+ ///@{
+ void C_terms(JointState& jForces, const JointState& q, const JointState& qd);
+ void C_terms(JointState& jForces, const JointState& qd);
+ ///@}
+ /** Updates all the kinematics transforms used by the inverse dynamics routine. */
+ void setJointStatus(const JointState& q) const;
+
+public:
+ /** \name Getters
+ * These functions return various spatial quantities used internally
+ * by the inverse dynamics routines, like the spatial acceleration
+ * of the links.
+ *
+ * The getters can be useful to retrieve the additional data that is not
+ * returned explicitly by the inverse dynamics routines even though it
+ * is computed. For example, after a call to the inverse dynamics,
+ * the spatial velocity of all the links has been determined and
+ * can be accessed.
+ *
+ * However, beware that certain routines might not use some of the
+ * spatial quantities, which therefore would retain their last value
+ * without being updated nor reset (for example, the spatial velocity
+ * of the links is unaffected by the computation of the gravity terms).
+ */
+ ///@{
+ const Velocity& getVelocity_Link1() const { return Link1_v; }
+ const Acceleration& getAcceleration_Link1() const { return Link1_a; }
+ const Force& getForce_Link1() const { return Link1_f; }
+ ///@}
+protected:
+ void firstPass(const JointState& qd, const JointState& qdd, const ExtForces& fext);
+ void secondPass(JointState& jForces);
+
+private:
+ IProperties* inertiaProps;
+ MTransforms* xm;
+private:
+ Matrix66s vcross; // support variable
+ // Link 'Link1' :
+ const InertiaMatrix& Link1_I;
+ Velocity Link1_v;
+ Acceleration Link1_a;
+ Force Link1_f;
+
+
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::setJointStatus(const JointState& q) const
+{
+ (xm->fr_Link1_X_fr_InvertedPendulumBase)(q);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::G_terms(JointState& jForces, const JointState& q)
+{
+ setJointStatus(q);
+ G_terms(jForces);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::C_terms(JointState& jForces, const JointState& q, const JointState& qd)
+{
+ setJointStatus(q);
+ C_terms(jForces, qd);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id(
+ JointState& jForces,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ setJointStatus(q);
+ id(jForces, qd, qdd, fext);
+}
+
+}
+
+typedef tpl::InverseDynamics<rbd::DoubleTrait> InverseDynamics;
+
+}
+}
+
+}
+
+#include "inverse_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/inverse_dynamics.impl.h b/ct_models/include/ct/models/InvertedPendulum/generated/inverse_dynamics.impl.h
new file mode 100644
index 0000000..0940da5
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/inverse_dynamics.impl.h
@@ -0,0 +1,70 @@
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::ExtForces
+iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::InverseDynamics(IProperties& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ xm( & transforms ),
+ Link1_I(inertiaProps->getTensor_Link1() )
+ {
+#ifndef EIGEN_NO_DEBUG
+ std::cout << "Robot ct_InvertedPendulum, InverseDynamics<TRAIT>::InverseDynamics()" << std::endl;
+ std::cout << "Compiled with Eigen debug active" << std::endl;
+#endif
+ Link1_v.setZero();
+
+ vcross.setZero();
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::id(
+ JointState& jForces,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ firstPass(qd, qdd, fext);
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::G_terms(JointState& jForces)
+{
+ // Link 'Link1'
+ Link1_a = (xm->fr_Link1_X_fr_InvertedPendulumBase).col(iit::rbd::LZ) * Scalar(iit::rbd::g);
+ Link1_f = Link1_I * Link1_a;
+
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::C_terms(JointState& jForces, const JointState& qd)
+{
+ // Link 'Link1'
+ Link1_v(iit::rbd::AZ) = qd(JOINT1); // Link1_v = vJ, for the first link of a fixed base robot
+
+ Link1_f = iit::rbd::vxIv(qd(JOINT1), Link1_I);
+
+
+ secondPass(jForces);
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::firstPass(const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ // First pass, link 'Link1'
+ Link1_a = (xm->fr_Link1_X_fr_InvertedPendulumBase).col(iit::rbd::LZ) * Scalar(iit::rbd::g);
+ Link1_a(iit::rbd::AZ) += qdd(JOINT1);
+ Link1_v(iit::rbd::AZ) = qd(JOINT1); // Link1_v = vJ, for the first link of a fixed base robot
+
+ Link1_f = Link1_I * Link1_a + iit::rbd::vxIv(qd(JOINT1), Link1_I) - fext[LINK1];
+
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<TRAIT>::secondPass(JointState& jForces)
+{
+ // Link 'Link1'
+ jForces(JOINT1) = Link1_f(iit::rbd::AZ);
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/jacobians.h b/ct_models/include/ct/models/InvertedPendulum/generated/jacobians.h
new file mode 100644
index 0000000..0373569
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/jacobians.h
@@ -0,0 +1,71 @@
+#ifndef CT_INVERTEDPENDULUM_JACOBIANS_H_
+#define CT_INVERTEDPENDULUM_JACOBIANS_H_
+
+ #include <iit/rbd/rbd.h>
+#include <iit/rbd/TransformsBase.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "declarations.h"
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+template<typename SCALAR, int COLS, class M>
+class JacobianT : public iit::rbd::JacobianBase<tpl::JointState<SCALAR>, COLS, M>
+{};
+
+namespace tpl {
+
+/**
+ *
+ */
+template <typename TRAIT>
+class Jacobians {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar Scalar;
+ typedef iit::rbd::Core<Scalar> CoreS;
+
+ typedef JointState<Scalar> JState;
+
+ class Type_fr_InvertedPendulumBase_J_fr_Link1 : public JacobianT<Scalar, 1, Type_fr_InvertedPendulumBase_J_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_J_fr_Link1();
+ const Type_fr_InvertedPendulumBase_J_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_J_fr_ee : public JacobianT<Scalar, 1, Type_fr_InvertedPendulumBase_J_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_J_fr_ee();
+ const Type_fr_InvertedPendulumBase_J_fr_ee& update(const JState&);
+ protected:
+ };
+
+ public:
+ Jacobians();
+ void updateParameters();
+ public:
+ Type_fr_InvertedPendulumBase_J_fr_Link1 fr_InvertedPendulumBase_J_fr_Link1;
+ Type_fr_InvertedPendulumBase_J_fr_ee fr_InvertedPendulumBase_J_fr_ee;
+
+ protected:
+
+};
+
+} //namespace tpl
+
+using Jacobians = tpl::Jacobians<rbd::DoubleTrait>;
+
+#include "jacobians.impl.h"
+
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/jacobians.impl.h b/ct_models/include/ct/models/InvertedPendulum/generated/jacobians.impl.h
new file mode 100644
index 0000000..6d6b210
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/jacobians.impl.h
@@ -0,0 +1,52 @@
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Jacobians
+ ()
+ :
+ fr_InvertedPendulumBase_J_fr_Link1(),
+ fr_InvertedPendulumBase_J_fr_ee()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_InvertedPendulumBase_J_fr_Link1::Type_fr_InvertedPendulumBase_J_fr_Link1()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+ (*this)(4,0) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_InvertedPendulumBase_J_fr_Link1& iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_InvertedPendulumBase_J_fr_Link1::update(const JState& jState) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_InvertedPendulumBase_J_fr_ee::Type_fr_InvertedPendulumBase_J_fr_ee()
+{
+ (*this)(0,0) = 1.0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 0;
+ (*this)(3,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_InvertedPendulumBase_J_fr_ee& iit::ct_InvertedPendulum::tpl::Jacobians<TRAIT>::Type_fr_InvertedPendulumBase_J_fr_ee::update(const JState& jState) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( jState(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( jState(JOINT1));
+
+ (*this)(4,0) = - c_q_Joint1_;
+ (*this)(5,0) = - s_q_Joint1_;
+ return *this;
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/joint_data_map.h b/ct_models/include/ct/models/InvertedPendulum/generated/joint_data_map.h
new file mode 100644
index 0000000..d9846b0
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/joint_data_map.h
@@ -0,0 +1,86 @@
+#ifndef IIT_CT_INVERTEDPENDULUM_JOINT_DATA_MAP_H_
+#define IIT_CT_INVERTEDPENDULUM_JOINT_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+/**
+ * A very simple container to associate a generic data item to each joint
+ */
+template<typename T> class JointDataMap {
+private:
+ T data[jointsCount];
+public:
+ JointDataMap() {};
+ JointDataMap(const T& defaultValue);
+ JointDataMap(const JointDataMap& rhs);
+ JointDataMap& operator=(const JointDataMap& rhs);
+ JointDataMap& operator=(const T& rhs);
+ T& operator[](JointIdentifiers which);
+ const T& operator[](JointIdentifiers which) const;
+private:
+ void copydata(const JointDataMap& rhs);
+ void assigndata(const T& rhs);
+};
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const JointDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const JointDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& JointDataMap<T>::operator[](JointIdentifiers j) {
+ return data[j];
+}
+
+template<typename T> inline
+const T& JointDataMap<T>::operator[](JointIdentifiers j) const {
+ return data[j];
+}
+
+template<typename T> inline
+void JointDataMap<T>::copydata(const JointDataMap& rhs) {
+ data[JOINT1] = rhs[JOINT1];
+}
+
+template<typename T> inline
+void JointDataMap<T>::assigndata(const T& value) {
+ data[JOINT1] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const JointDataMap<T>& map) {
+ out
+ << " Joint1 = "
+ << map[JOINT1]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/jsim.h b/ct_models/include/ct/models/InvertedPendulum/generated/jsim.h
new file mode 100644
index 0000000..08ae0e5
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/jsim.h
@@ -0,0 +1,107 @@
+#ifndef IIT_CT_INVERTEDPENDULUM_JSIM_H_
+#define IIT_CT_INVERTEDPENDULUM_JSIM_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/StateDependentMatrix.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+
+namespace iit {
+namespace ct_InvertedPendulum {
+namespace dyn {
+
+namespace tpl {
+
+/**
+ * The type of the Joint Space Inertia Matrix (JSIM) of the robot ct_InvertedPendulum.
+ */
+template <typename TRAIT>
+class JSIM : public iit::rbd::StateDependentMatrix<iit::ct_InvertedPendulum::tpl::JointState<typename TRAIT::Scalar>, 1, 1, JSIM<TRAIT>>
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ private:
+ typedef iit::rbd::StateDependentMatrix<iit::ct_InvertedPendulum::tpl::JointState<typename TRAIT::Scalar>, 1, 1, JSIM<TRAIT>> Base;
+ public:
+ typedef typename TRAIT::Scalar Scalar;
+ typedef typename iit::ct_InvertedPendulum::tpl::JointState<Scalar> JointState;
+ typedef iit::rbd::Core<Scalar> CoreS;
+ typedef typename Base::Index Index;
+ typedef typename iit::rbd::PlainMatrix<Scalar, 1, 1> MatrixType;
+ typedef InertiaProperties<TRAIT> IProperties;
+ typedef iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT> FTransforms;
+ typedef iit::rbd::tpl::InertiaMatrixDense<Scalar> InertiaMatrix;
+ typedef typename CoreS::ForceVector ForceVector;
+
+ public:
+ JSIM(IProperties&, FTransforms&);
+ ~JSIM() {}
+
+ const JSIM& update(const JointState&);
+
+
+ /**
+ * Computes and saves the matrix L of the L^T L factorization of this JSIM.
+ */
+ void computeL();
+ /**
+ * Computes and saves the inverse of this JSIM.
+ * This function assumes that computeL() has been called already, since it
+ * uses L to compute the inverse. The algorithm takes advantage of the branch
+ * induced sparsity of the robot, if any.
+ */
+ void computeInverse();
+ /**
+ * Returns an unmodifiable reference to the matrix L. See also computeL()
+ */
+ const MatrixType& getL() const;
+ /**
+ * Returns an unmodifiable reference to the inverse of this JSIM
+ */
+ const MatrixType& getInverse() const;
+
+ protected:
+ /**
+ * Computes and saves the inverse of the matrix L. See also computeL()
+ */
+ void computeLInverse();
+ private:
+ IProperties& linkInertias;
+ FTransforms* frcTransf;
+
+ // The composite-inertia tensor for each link
+ const InertiaMatrix& Link1_Ic;
+ InertiaMatrix Ic_spare;
+
+ MatrixType L;
+ MatrixType Linv;
+ MatrixType inverse;
+};
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getL() const {
+ return L;
+}
+
+template <typename TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getInverse() const {
+ return inverse;
+}
+
+
+}
+
+typedef tpl::JSIM<rbd::DoubleTrait> JSIM;
+
+}
+}
+}
+
+#include "jsim.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/jsim.impl.h b/ct_models/include/ct/models/InvertedPendulum/generated/jsim.impl.h
new file mode 100644
index 0000000..1fc8e3b
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/jsim.impl.h
@@ -0,0 +1,58 @@
+
+
+//Implementation of default constructor
+template <typename TRAIT>
+iit::ct_InvertedPendulum::dyn::tpl::JSIM<TRAIT>::JSIM(IProperties& inertiaProperties, FTransforms& forceTransforms) :
+ linkInertias(inertiaProperties),
+ frcTransf( &forceTransforms ),
+ Link1_Ic(linkInertias.getTensor_Link1())
+{
+ //Initialize the matrix itself
+ this->setZero();
+}
+
+#define DATA tpl::JSIM<TRAIT>::operator()
+
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::dyn::tpl::JSIM<TRAIT>& iit::ct_InvertedPendulum::dyn::tpl::JSIM<TRAIT>::update(const JointState& state) {
+ ForceVector F;
+
+ // Precomputes only once the coordinate transforms:
+
+ // Initializes the composite inertia tensors
+
+ // "Bottom-up" loop to update the inertia-composite property of each link, for the current configuration
+
+ // Link Link1:
+
+ F = Link1_Ic.col(iit::rbd::AZ);
+ DATA(JOINT1, JOINT1) = F(iit::rbd::AZ);
+
+
+ return *this;
+}
+
+#undef DATA
+#undef F
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::JSIM<TRAIT>::computeL() {
+ L = this -> template triangularView<Eigen::Lower>();
+ // Joint Joint1, index 0 :
+ L(0, 0) = std::sqrt(L(0, 0));
+
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::JSIM<TRAIT>::computeInverse() {
+ computeLInverse();
+
+ inverse(0, 0) = + (Linv(0, 0) * Linv(0, 0));
+}
+
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::dyn::tpl::JSIM<TRAIT>::computeLInverse() {
+ //assumes L has been computed already
+ Linv(0, 0) = 1 / L(0, 0);
+}
+
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/kinematics_parameters.h b/ct_models/include/ct/models/InvertedPendulum/generated/kinematics_parameters.h
new file mode 100644
index 0000000..ca371df
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/kinematics_parameters.h
@@ -0,0 +1,11 @@
+#ifndef _CT_INVERTEDPENDULUM_PARAMETERS_GETTERS_
+#define _CT_INVERTEDPENDULUM_PARAMETERS_GETTERS_
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/link_data_map.h b/ct_models/include/ct/models/InvertedPendulum/generated/link_data_map.h
new file mode 100644
index 0000000..f72fbd2
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/link_data_map.h
@@ -0,0 +1,92 @@
+#ifndef IIT_CT_INVERTEDPENDULUM_LINK_DATA_MAP_H_
+#define IIT_CT_INVERTEDPENDULUM_LINK_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+/**
+ * A very simple container to associate a generic data item to each link
+ */
+template<typename T> class LinkDataMap {
+private:
+ T data[linksCount];
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ LinkDataMap() {};
+ LinkDataMap(const T& defaultValue);
+ LinkDataMap(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const T& rhs);
+ T& operator[](LinkIdentifiers which);
+ const T& operator[](LinkIdentifiers which) const;
+private:
+ void copydata(const LinkDataMap& rhs);
+ void assigndata(const T& commonValue);
+};
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const LinkDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const LinkDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& LinkDataMap<T>::operator[](LinkIdentifiers l) {
+ return data[l];
+}
+
+template<typename T> inline
+const T& LinkDataMap<T>::operator[](LinkIdentifiers l) const {
+ return data[l];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::copydata(const LinkDataMap& rhs) {
+ data[INVERTEDPENDULUMBASE] = rhs[INVERTEDPENDULUMBASE];
+ data[LINK1] = rhs[LINK1];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::assigndata(const T& value) {
+ data[INVERTEDPENDULUMBASE] = value;
+ data[LINK1] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const LinkDataMap<T>& map) {
+ out
+ << " InvertedPendulumBase = "
+ << map[INVERTEDPENDULUMBASE]
+ << " Link1 = "
+ << map[LINK1]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/miscellaneous.cpp b/ct_models/include/ct/models/InvertedPendulum/generated/miscellaneous.cpp
new file mode 100644
index 0000000..b46fc40
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/miscellaneous.cpp
@@ -0,0 +1,33 @@
+#include <iit/rbd/utils.h>
+#include "miscellaneous.h"
+
+using namespace iit::ct_InvertedPendulum;
+using namespace iit::ct_InvertedPendulum::dyn;
+
+iit::rbd::Vector3d iit::ct_InvertedPendulum::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const HomogeneousTransforms& ht)
+{
+ iit::rbd::Vector3d tmpSum(iit::rbd::Vector3d::Zero());
+
+
+ HomogeneousTransforms::MatrixType tmpX(HomogeneousTransforms::MatrixType::Identity());
+ tmpX = tmpX * ht.fr_InvertedPendulumBase_X_fr_Link1;
+ tmpSum += inertiaProps.getMass_Link1() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_Link1()));
+
+
+ return tmpSum / inertiaProps.getTotalMass();
+}
+
+iit::rbd::Vector3d iit::ct_InvertedPendulum::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const JointState& q,
+ HomogeneousTransforms& ht)
+{
+ // First updates the coordinate transforms that will be used by the routine
+ ht.fr_InvertedPendulumBase_X_fr_Link1(q);
+
+ // The actual calculus
+ return getWholeBodyCOM(inertiaProps, ht);
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/miscellaneous.h b/ct_models/include/ct/models/InvertedPendulum/generated/miscellaneous.h
new file mode 100644
index 0000000..759f90e
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/miscellaneous.h
@@ -0,0 +1,45 @@
+#ifndef IIT_ROBCOGEN__CT_INVERTEDPENDULUM_MISCELLANEOUS_H_
+#define IIT_ROBCOGEN__CT_INVERTEDPENDULUM_MISCELLANEOUS_H_
+
+#include "inertia_properties.h"
+#include "transforms.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+/** \name Center of mass calculation
+ * Computes the Center Of Mass (COM) position of the whole robot, in
+ * base coordinates.
+ *
+ * Common parameters are the inertia properties of the robot and the set
+ * of homogeneous coordinate transforms. If a joint status variable is
+ * also passed, then the transforms are updated accordingly; otherwise,
+ * they are not modified before being used.
+ */
+///@{
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const HomogeneousTransforms& transforms);
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param q the joint status vector describing the configuration of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const JointState& q,
+ HomogeneousTransforms& transforms);
+///@}
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/traits.h b/ct_models/include/ct/models/InvertedPendulum/generated/traits.h
new file mode 100644
index 0000000..913111c
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/traits.h
@@ -0,0 +1,67 @@
+#ifndef IIT_ROBOGEN__CT_INVERTEDPENDULUM_TRAITS_H_
+#define IIT_ROBOGEN__CT_INVERTEDPENDULUM_TRAITS_H_
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inverse_dynamics.h"
+#include "forward_dynamics.h"
+#include "jsim.h"
+#include "inertia_properties.h"
+#include "jacobians.h"
+#include <iit/rbd/traits/TraitSelector.h>
+
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+namespace tpl {
+
+template <typename SCALAR>
+struct Traits {
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef SCALAR S;
+
+ typedef typename ct_InvertedPendulum::JointIdentifiers JointID;
+ typedef typename ct_InvertedPendulum::LinkIdentifiers LinkID;
+ typedef typename iit::rbd::tpl::TraitSelector<SCALAR>::Trait Trait;
+
+ typedef typename ct_InvertedPendulum::tpl::JointState<SCALAR> JointState;
+
+
+
+ typedef typename ct_InvertedPendulum::tpl::HomogeneousTransforms<Trait> HomogeneousTransforms;
+ typedef typename ct_InvertedPendulum::tpl::MotionTransforms<Trait> MotionTransforms;
+ typedef typename ct_InvertedPendulum::tpl::ForceTransforms<Trait> ForceTransforms;
+ typedef typename ct_InvertedPendulum::tpl::Jacobians<Trait> Jacobians;
+
+ typedef typename iit::ct_InvertedPendulum::dyn::tpl::InertiaProperties<Trait> InertiaProperties;
+ typedef typename iit::ct_InvertedPendulum::dyn::tpl::ForwardDynamics<Trait> FwdDynEngine;
+ typedef typename iit::ct_InvertedPendulum::dyn::tpl::InverseDynamics<Trait> InvDynEngine;
+ typedef typename iit::ct_InvertedPendulum::dyn::tpl::JSIM<Trait> JSIM;
+
+ static const int joints_count = ct_InvertedPendulum::jointsCount;
+ static const int links_count = ct_InvertedPendulum::linksCount;
+ static const bool floating_base = false;
+
+ static inline const JointID* orderedJointIDs();
+ static inline const LinkID* orderedLinkIDs();
+};
+
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::JointID* Traits<SCALAR>::orderedJointIDs() {
+ return ct_InvertedPendulum::orderedJointIDs;
+}
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::LinkID* Traits<SCALAR>::orderedLinkIDs() {
+ return ct_InvertedPendulum::orderedLinkIDs;
+}
+
+}
+
+typedef tpl::Traits<double> Traits; // default instantiation - backward compatibility...
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/transforms.h b/ct_models/include/ct/models/InvertedPendulum/generated/transforms.h
new file mode 100644
index 0000000..7e68390
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/transforms.h
@@ -0,0 +1,261 @@
+#ifndef CT_INVERTEDPENDULUM_TRANSFORMS_H_
+#define CT_INVERTEDPENDULUM_TRANSFORMS_H_
+
+#include <Eigen/Dense>
+#include <iit/rbd/TransformsBase.h>
+#include "declarations.h"
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_InvertedPendulum {
+
+template<typename SCALAR, class M>
+class TransformMotion : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformForce : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformHomogeneous : public iit::rbd::HomogeneousTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+namespace tpl {
+
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial motion vectors.
+ */
+template <typename TRAIT>
+class MotionTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformMotion<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_InvertedPendulumBase_X_fr_Link1 : public TransformMotion<Scalar, Type_fr_InvertedPendulumBase_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_Link1();
+ const Type_fr_InvertedPendulumBase_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_X_fr_ee : public TransformMotion<Scalar, Type_fr_InvertedPendulumBase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_ee();
+ const Type_fr_InvertedPendulumBase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_InvertedPendulumBase : public TransformMotion<Scalar, Type_fr_Link1_X_fr_InvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_InvertedPendulumBase();
+ const Type_fr_Link1_X_fr_InvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_InvertedPendulumBase : public TransformMotion<Scalar, Type_fr_ee_X_fr_InvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_InvertedPendulumBase();
+ const Type_fr_ee_X_fr_InvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_X_fr_Joint1 : public TransformMotion<Scalar, Type_fr_InvertedPendulumBase_X_fr_Joint1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_Joint1();
+ const Type_fr_InvertedPendulumBase_X_fr_Joint1& update(const JState&);
+ protected:
+ };
+
+public:
+ MotionTransforms();
+ void updateParameters();
+ Type_fr_InvertedPendulumBase_X_fr_Link1 fr_InvertedPendulumBase_X_fr_Link1;
+ Type_fr_InvertedPendulumBase_X_fr_ee fr_InvertedPendulumBase_X_fr_ee;
+ Type_fr_Link1_X_fr_InvertedPendulumBase fr_Link1_X_fr_InvertedPendulumBase;
+ Type_fr_ee_X_fr_InvertedPendulumBase fr_ee_X_fr_InvertedPendulumBase;
+ Type_fr_InvertedPendulumBase_X_fr_Joint1 fr_InvertedPendulumBase_X_fr_Joint1;
+
+protected:
+
+}; //class 'MotionTransforms'
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial force vectors.
+ */
+template <typename TRAIT>
+class ForceTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformForce<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_InvertedPendulumBase_X_fr_Link1 : public TransformForce<Scalar, Type_fr_InvertedPendulumBase_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_Link1();
+ const Type_fr_InvertedPendulumBase_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_X_fr_ee : public TransformForce<Scalar, Type_fr_InvertedPendulumBase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_ee();
+ const Type_fr_InvertedPendulumBase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_InvertedPendulumBase : public TransformForce<Scalar, Type_fr_Link1_X_fr_InvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_InvertedPendulumBase();
+ const Type_fr_Link1_X_fr_InvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_InvertedPendulumBase : public TransformForce<Scalar, Type_fr_ee_X_fr_InvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_InvertedPendulumBase();
+ const Type_fr_ee_X_fr_InvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_X_fr_Joint1 : public TransformForce<Scalar, Type_fr_InvertedPendulumBase_X_fr_Joint1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_Joint1();
+ const Type_fr_InvertedPendulumBase_X_fr_Joint1& update(const JState&);
+ protected:
+ };
+
+public:
+ ForceTransforms();
+ void updateParameters();
+ Type_fr_InvertedPendulumBase_X_fr_Link1 fr_InvertedPendulumBase_X_fr_Link1;
+ Type_fr_InvertedPendulumBase_X_fr_ee fr_InvertedPendulumBase_X_fr_ee;
+ Type_fr_Link1_X_fr_InvertedPendulumBase fr_Link1_X_fr_InvertedPendulumBase;
+ Type_fr_ee_X_fr_InvertedPendulumBase fr_ee_X_fr_InvertedPendulumBase;
+ Type_fr_InvertedPendulumBase_X_fr_Joint1 fr_InvertedPendulumBase_X_fr_Joint1;
+
+protected:
+
+}; //class 'ForceTransforms'
+
+/**
+ * The class with the homogeneous (4x4) coordinates transformation
+ * matrices.
+ */
+template <typename TRAIT>
+class HomogeneousTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar Scalar;
+
+ typedef JointState<Scalar> JState;
+ class Dummy {};
+ typedef typename TransformHomogeneous<Scalar, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_InvertedPendulumBase_X_fr_Link1 : public TransformHomogeneous<Scalar, Type_fr_InvertedPendulumBase_X_fr_Link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_Link1();
+ const Type_fr_InvertedPendulumBase_X_fr_Link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_X_fr_ee : public TransformHomogeneous<Scalar, Type_fr_InvertedPendulumBase_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_ee();
+ const Type_fr_InvertedPendulumBase_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_Link1_X_fr_InvertedPendulumBase : public TransformHomogeneous<Scalar, Type_fr_Link1_X_fr_InvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_Link1_X_fr_InvertedPendulumBase();
+ const Type_fr_Link1_X_fr_InvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_InvertedPendulumBase : public TransformHomogeneous<Scalar, Type_fr_ee_X_fr_InvertedPendulumBase>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_InvertedPendulumBase();
+ const Type_fr_ee_X_fr_InvertedPendulumBase& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_InvertedPendulumBase_X_fr_Joint1 : public TransformHomogeneous<Scalar, Type_fr_InvertedPendulumBase_X_fr_Joint1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_InvertedPendulumBase_X_fr_Joint1();
+ const Type_fr_InvertedPendulumBase_X_fr_Joint1& update(const JState&);
+ protected:
+ };
+
+public:
+ HomogeneousTransforms();
+ void updateParameters();
+ Type_fr_InvertedPendulumBase_X_fr_Link1 fr_InvertedPendulumBase_X_fr_Link1;
+ Type_fr_InvertedPendulumBase_X_fr_ee fr_InvertedPendulumBase_X_fr_ee;
+ Type_fr_Link1_X_fr_InvertedPendulumBase fr_Link1_X_fr_InvertedPendulumBase;
+ Type_fr_ee_X_fr_InvertedPendulumBase fr_ee_X_fr_InvertedPendulumBase;
+ Type_fr_InvertedPendulumBase_X_fr_Joint1 fr_InvertedPendulumBase_X_fr_Joint1;
+
+protected:
+
+}; //class 'HomogeneousTransforms'
+
+}
+
+using MotionTransforms = tpl::MotionTransforms<rbd::DoubleTrait>;
+using ForceTransforms = tpl::ForceTransforms<rbd::DoubleTrait>;
+using HomogeneousTransforms = tpl::HomogeneousTransforms<rbd::DoubleTrait>;
+
+}
+}
+
+#include "transforms.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/InvertedPendulum/generated/transforms.impl.h b/ct_models/include/ct/models/InvertedPendulum/generated/transforms.impl.h
new file mode 100644
index 0000000..9b31f2f
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/generated/transforms.impl.h
@@ -0,0 +1,685 @@
+
+// Constructors
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::MotionTransforms
+ ()
+ :
+ fr_InvertedPendulumBase_X_fr_Link1(),
+ fr_InvertedPendulumBase_X_fr_ee(),
+ fr_Link1_X_fr_InvertedPendulumBase(),
+ fr_ee_X_fr_InvertedPendulumBase(),
+ fr_InvertedPendulumBase_X_fr_Joint1()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::ForceTransforms
+ ()
+ :
+ fr_InvertedPendulumBase_X_fr_Link1(),
+ fr_InvertedPendulumBase_X_fr_ee(),
+ fr_Link1_X_fr_InvertedPendulumBase(),
+ fr_ee_X_fr_InvertedPendulumBase(),
+ fr_InvertedPendulumBase_X_fr_Joint1()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::HomogeneousTransforms
+ ()
+ :
+ fr_InvertedPendulumBase_X_fr_Link1(),
+ fr_InvertedPendulumBase_X_fr_ee(),
+ fr_Link1_X_fr_InvertedPendulumBase(),
+ fr_ee_X_fr_InvertedPendulumBase(),
+ fr_InvertedPendulumBase_X_fr_Joint1()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1::Type_fr_InvertedPendulumBase_X_fr_Link1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1& iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee::Type_fr_InvertedPendulumBase_X_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1.0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 1.0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee& iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(4,2) = c_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,2) = s_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase::Type_fr_Link1_X_fr_InvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase& iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ (*this)(3,4) = - s_q_Joint1_;
+ (*this)(3,5) = c_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(4,5) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase::Type_fr_ee_X_fr_InvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 1.0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,3) = 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase& iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ (*this)(3,4) = - s_q_Joint1_;
+ (*this)(3,5) = c_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(4,5) = - s_q_Joint1_;
+ (*this)(5,1) = c_q_Joint1_;
+ (*this)(5,2) = s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1::Type_fr_InvertedPendulumBase_X_fr_Joint1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1& iit::ct_InvertedPendulum::tpl::MotionTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1::update(const JState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1::Type_fr_InvertedPendulumBase_X_fr_Link1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1& iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee::Type_fr_InvertedPendulumBase_X_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 1.0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1.0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee& iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,5) = c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(2,5) = s_q_Joint1_;
+ (*this)(4,3) = - s_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(5,3) = c_q_Joint1_;
+ (*this)(5,4) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase::Type_fr_Link1_X_fr_InvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase& iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ (*this)(3,4) = - s_q_Joint1_;
+ (*this)(3,5) = c_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(4,5) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase::Type_fr_ee_X_fr_InvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 1.0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase& iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ (*this)(2,4) = c_q_Joint1_;
+ (*this)(2,5) = s_q_Joint1_;
+ (*this)(3,4) = - s_q_Joint1_;
+ (*this)(3,5) = c_q_Joint1_;
+ (*this)(4,4) = - c_q_Joint1_;
+ (*this)(4,5) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1::Type_fr_InvertedPendulumBase_X_fr_Joint1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 1;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = - 1;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 1;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1& iit::ct_InvertedPendulum::tpl::ForceTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1::update(const JState& q) {
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1::Type_fr_InvertedPendulumBase_X_fr_Link1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1& iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Link1::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee::Type_fr_InvertedPendulumBase_X_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee& iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_ee::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(1,0) = - s_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,3) = - s_q_Joint1_;
+ (*this)(2,0) = c_q_Joint1_;
+ (*this)(2,1) = - s_q_Joint1_;
+ (*this)(2,3) = c_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase::Type_fr_Link1_X_fr_InvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase& iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_Link1_X_fr_InvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase::Type_fr_ee_X_fr_InvertedPendulumBase()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = - 1.0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase& iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_InvertedPendulumBase::update(const JState& q) {
+ Scalar s_q_Joint1_;
+ Scalar c_q_Joint1_;
+
+ s_q_Joint1_ = TRAIT::sin( q(JOINT1));
+ c_q_Joint1_ = TRAIT::cos( q(JOINT1));
+
+ (*this)(0,1) = - s_q_Joint1_;
+ (*this)(0,2) = c_q_Joint1_;
+ (*this)(1,1) = - c_q_Joint1_;
+ (*this)(1,2) = - s_q_Joint1_;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1::Type_fr_InvertedPendulumBase_X_fr_Joint1()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 1;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = - 1;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 1;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1& iit::ct_InvertedPendulum::tpl::HomogeneousTransforms<TRAIT>::Type_fr_InvertedPendulumBase_X_fr_Joint1::update(const JState& q) {
+ return *this;
+}
+
diff --git a/ct_models/include/ct/models/InvertedPendulum/model/ct_InvertedPendulum.dtdsl b/ct_models/include/ct/models/InvertedPendulum/model/ct_InvertedPendulum.dtdsl
new file mode 100644
index 0000000..1b51a00
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/model/ct_InvertedPendulum.dtdsl
@@ -0,0 +1,19 @@
+Robot ct_InvertedPendulum
+
+Frames {
+ fr_InvertedPendulumBase, fr_Link1, fr_Joint1, fr_ee
+}
+
+Transforms {
+
+ base=fr_InvertedPendulumBase, target=fr_Link1
+ base=fr_InvertedPendulumBase, target=fr_ee
+
+ base=fr_Link1, target=fr_InvertedPendulumBase
+ base=fr_ee, target=fr_InvertedPendulumBase
+}
+
+Jacobians {
+ base=fr_InvertedPendulumBase, target=fr_Link1
+ base=fr_InvertedPendulumBase, target=fr_ee
+}
diff --git a/ct_models/include/ct/models/InvertedPendulum/model/ct_InvertedPendulum.kindsl b/ct_models/include/ct/models/InvertedPendulum/model/ct_InvertedPendulum.kindsl
new file mode 100644
index 0000000..a39d3e6
--- /dev/null
+++ b/ct_models/include/ct/models/InvertedPendulum/model/ct_InvertedPendulum.kindsl
@@ -0,0 +1,43 @@
+Robot ct_InvertedPendulum {
+
+
+RobotBase InvertedPendulumBase {
+ inertia_params {
+ mass = 1.0
+ CoM = (0.0, 0.0, 0.0)
+ Iy=0.0 Ix=0.0 Ixy=0.0 Iz=0.0 Ixz=0.0 Iyz=0.0
+ }
+ children {
+ Link1 via Joint1
+ }
+}
+
+link Link1 {
+ id = 1
+ inertia_params {
+ mass = 1.0
+ CoM = (0.0, 0.0, 0.0)
+ Ix=0.0005 Iy=0.0005 Iz=0.001 Ixy=0.0 Ixz=0.0 Iyz=0.0
+ ref_frame = fr_COM
+ }
+ children {}
+ frames {
+ fr_ee{
+ translation = (1.0, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ fr_COM {
+ translation = (0.5, 0.0, 0.0)
+ rotation = (PI/2.0, 0.0, 0.0)
+ }
+ }
+}
+
+r_joint Joint1 {
+ ref_frame {
+ translation = (0.0, 0.0, 0.0)
+ rotation = (0.0, PI/2.0, PI)
+ }
+}
+
+}
diff --git a/ct_models/include/ct/models/Irb4600/Irb4600InverseKinematics.h b/ct_models/include/ct/models/Irb4600/Irb4600InverseKinematics.h
new file mode 100644
index 0000000..209b3ba
--- /dev/null
+++ b/ct_models/include/ct/models/Irb4600/Irb4600InverseKinematics.h
@@ -0,0 +1,62 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#define IKFAST_HAS_LIBRARY
+#define IKFAST_NAMESPACE irb4600_ik
+#include <ikfast.h>
+#include <ct/core/core.h>
+
+#include <ct/rbd/robot/kinematics/InverseKinematicsBase.h>
+
+using namespace ikfast;
+
+namespace ct {
+namespace rbd {
+
+template <typename SCALAR = double>
+class Irb4600InverseKinematics : InverseKinematicsBase<6, SCALAR>
+{
+public:
+ virtual std::vector<typename tpl::JointState<6, SCALAR>::Position> computeInverseKinematics(
+ const tpl::RigidBodyPose<SCALAR>& eeBasePose,
+ const std::vector<SCALAR>& freeJoints = std::vector<SCALAR>()) const
+ {
+ // TODO: Check for valid solutions.
+ IkSolutionList<double> solutions;
+
+ if (size_t(irb4600_ik::GetNumFreeParameters()) != freeJoints.size())
+ throw std::runtime_error("Error");
+
+ // Data needs to be in row-major form.
+ Eigen::Matrix<SCALAR, 3, 3, Eigen::RowMajor> eeBaseRotationRowMajor =
+ eeBasePose.getRotationMatrix().toImplementation();
+ irb4600_ik::ComputeIk(eeBasePose.position().toImplementation().data(), eeBaseRotationRowMajor.data(),
+ freeJoints.size() > 0 ? freeJoints.data() : nullptr, solutions);
+
+ size_t num_solutions = solutions.GetNumSolutions();
+ std::vector<typename tpl::JointState<6, SCALAR>::Position> res(solutions.GetNumSolutions());
+
+ for (size_t i = 0u; i < num_solutions; ++i)
+ {
+ const IkSolutionBase<double>& solution = solutions.GetSolution(i);
+ solution.GetSolution(res[i].data(), freeJoints.size() > 0 ? freeJoints.data() : nullptr);
+ }
+
+ return res;
+ }
+
+ virtual std::vector<typename tpl::JointState<6, SCALAR>::Position> computeInverseKinematics(
+ const tpl::RigidBodyPose<SCALAR>& eeWorldPose,
+ const tpl::RigidBodyPose<SCALAR>& baseWorldPose,
+ const std::vector<SCALAR>& freeJoints = std::vector<SCALAR>()) const
+ {
+ return computeInverseKinematics(eeWorldPose.inReferenceFrame(baseWorldPose), freeJoints);
+ }
+};
+} /* namespace rbd */
+} /* namespace ct */
diff --git a/ct_models/include/ct/models/Quadrotor/Quadrotor.hpp b/ct_models/include/ct/models/Quadrotor/Quadrotor.hpp
new file mode 100644
index 0000000..9d797d5
--- /dev/null
+++ b/ct_models/include/ct/models/Quadrotor/Quadrotor.hpp
@@ -0,0 +1,40 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <iostream>
+#include <memory>
+
+#include <ct/core/core.h>
+
+#include <ct/models/Quadrotor/quadrotor_dynamics/declarations.hpp>
+#include <ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp>
+
+
+namespace ct {
+namespace models {
+
+class Quadrotor : public ct::core::ControlledSystem<quadrotor::nStates, quadrotor::nControls>
+{
+public:
+ Quadrotor(std::shared_ptr<ct::core::Controller<quadrotor::nStates, quadrotor::nControls>> controller = nullptr)
+ : ct::core::ControlledSystem<quadrotor::nStates, quadrotor::nControls>(controller)
+ {
+ }
+
+ Quadrotor(const Quadrotor& arg) : ct::core::ControlledSystem<quadrotor::nStates, quadrotor::nControls>(arg) {}
+ virtual Quadrotor* clone() const override { return new Quadrotor(*this); }
+ virtual void computeControlledDynamics(const ct::core::StateVector<quadrotor::nStates>& state,
+ const ct::core::Time& t,
+ const ct::core::ControlVector<quadrotor::nControls>& control,
+ ct::core::StateVector<quadrotor::nStates>& derivative) override
+ {
+ derivative = quadrotor_ode(state, control);
+ }
+};
+}
+}
diff --git a/ct_models/include/ct/models/Quadrotor/QuadrotorLinear.hpp b/ct_models/include/ct/models/Quadrotor/QuadrotorLinear.hpp
new file mode 100644
index 0000000..a766802
--- /dev/null
+++ b/ct_models/include/ct/models/Quadrotor/QuadrotorLinear.hpp
@@ -0,0 +1,50 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+
+#include <Eigen/Dense>
+#include <ct/core/core.h>
+#include "Quadrotor.hpp"
+
+
+namespace ct {
+namespace models {
+
+class QuadrotorLinear : public ct::core::LinearSystem<quadrotor::nStates, quadrotor::nControls>
+{
+public:
+ typedef ct::core::StateVector<quadrotor::nStates> state_vector_t;
+ typedef ct::core::ControlVector<quadrotor::nControls> control_vector_t;
+
+ typedef Eigen::Matrix<double, quadrotor::nStates, quadrotor::nStates> state_matrix_t;
+ typedef Eigen::Matrix<double, quadrotor::nStates, quadrotor::nControls> state_control_matrix_t;
+
+
+ virtual QuadrotorLinear* clone() const override { return new QuadrotorLinear(*this); }
+ virtual const state_matrix_t& getDerivativeState(const state_vector_t& x,
+ const control_vector_t& u,
+ const ct::core::Time t = 0.0) override
+ {
+ A_ = A_quadrotor(x, u);
+ return A_;
+ }
+
+ virtual const state_control_matrix_t& getDerivativeControl(const state_vector_t& x,
+ const control_vector_t& u,
+ const ct::core::Time t = 0.0) override
+ {
+ B_ = B_quadrotor(x, u);
+ return B_;
+ }
+
+private:
+ state_matrix_t A_;
+ state_control_matrix_t B_;
+};
+}
+}
diff --git a/ct_models/include/ct/models/Quadrotor/quadrotor_definitions/quadModelParameters.hpp b/ct_models/include/ct/models/Quadrotor/quadrotor_definitions/quadModelParameters.hpp
new file mode 100644
index 0000000..b56f6cf
--- /dev/null
+++ b/ct_models/include/ct/models/Quadrotor/quadrotor_definitions/quadModelParameters.hpp
@@ -0,0 +1,39 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <Eigen/Dense>
+
+namespace ct {
+namespace models {
+namespace quadrotor {
+
+const double pi = 3.14159265;
+
+// mass / inertia
+const double mQ = 0.546; // mass of quadcopter [ kg ]
+const double Thxxyy = 2.32e-3; // moment of inertia around x,y [ kg*m^2 ]
+const double Thzz = 3e-4; // moment of inertia around z [ kg*m^2 ]
+const double arm_len = 0.175; // length of quadcopter arm [ m ]
+const double grav_const = 9.81; // gravitational constant [ m/s^2 ]
+
+const double f_hover = mQ * grav_const;
+
+// Thrust parameters
+const double kF = 6.17092e-8 * 3600 / (2 * pi * 2 * pi); // rotor thrust coefficient [ N/rad^2 ]
+const double kM = 1.3167e-9 * 3600 / (2 * pi * 2 * pi); // rotor moment coefficient [ Nm/rad^2]
+const double wmax = 7800.0 * 2 * pi / 60; // maximum rotor speed [ rad/s ]
+const double wmin = 1200.0 * 2 * pi / 60; // minimum rotor speed [ rad/s ]
+const double Fsat_min = kF * wmin * wmin;
+const double Fsat_max = kF * wmax * wmax;
+
+const Eigen::Vector4d kFs(kF, kF, kF, kF);
+const Eigen::Vector4d kMs(kM, kM, kM, kM);
+
+} // namespace quadrotor
+} // namespace models
+} // namespace ct
diff --git a/ct_models/include/ct/models/Quadrotor/quadrotor_definitions/quadVisParameters.hpp b/ct_models/include/ct/models/Quadrotor/quadrotor_definitions/quadVisParameters.hpp
new file mode 100644
index 0000000..025ff9f
--- /dev/null
+++ b/ct_models/include/ct/models/Quadrotor/quadrotor_definitions/quadVisParameters.hpp
@@ -0,0 +1,37 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <quadrotor_definitions/quadModelParameters.hpp>
+#include <Eigen/Dense>
+
+namespace ct {
+namespace models {
+namespace quadrotor {
+
+// A few parameters relevant for the visualization only:
+
+enum ROTORS
+{
+ ROTOR_1 = 0,
+ ROTOR_2 = 1,
+ ROTOR_3 = 2,
+ ROTOR_4 = 3,
+ N_ROTORS
+};
+
+const double arm_width = arm_len / 8.0;
+const double rotorDiameter = 2.0 * 0.1;
+const double rotorHeight = rotorDiameter * 0.1;
+
+const Eigen::Vector3d rotorPositions[N_ROTORS] = {Eigen::Vector3d(arm_len, 0.0, arm_width / 2.0),
+ Eigen::Vector3d(0.0, arm_len, arm_width / 2.0), Eigen::Vector3d(-arm_len, 0.0, arm_width / 2.0),
+ Eigen::Vector3d(0.0, -arm_len, arm_width / 2.0)};
+
+} // namespace quadrotor
+}
+}
diff --git a/ct_models/include/ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp b/ct_models/include/ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp
new file mode 100644
index 0000000..f870e37
--- /dev/null
+++ b/ct_models/include/ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp
@@ -0,0 +1,23 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#pragma once
+
+#include <cmath>
+
+#include <ct/models/Quadrotor/quadrotor_definitions/quadModelParameters.hpp>
+#include <ct/models/Quadrotor/quadrotor_dynamics/declarations.hpp>
+
+namespace ct {
+namespace models {
+
+quadrotor::state_matrix_t A_quadrotor(const quadrotor::state_vector_t &x, const quadrotor::control_vector_t &u);
+quadrotor::control_gain_matrix_t B_quadrotor(const quadrotor::state_vector_t &x, const quadrotor::control_vector_t &u);
+quadrotor::state_vector_t quadrotor_ode(const quadrotor::state_vector_t &x, const quadrotor::control_vector_t &u);
+
+} // models
+} // ct
diff --git a/ct_models/include/ct/models/Quadrotor/quadrotor_dynamics/declarations.hpp b/ct_models/include/ct/models/Quadrotor/quadrotor_dynamics/declarations.hpp
new file mode 100644
index 0000000..d703a2e
--- /dev/null
+++ b/ct_models/include/ct/models/Quadrotor/quadrotor_dynamics/declarations.hpp
@@ -0,0 +1,24 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+namespace quadrotor {
+
+const size_t nStates = 12;
+const size_t nControls = 4;
+
+typedef Eigen::Matrix<double, nStates, 1> state_vector_t;
+typedef Eigen::Matrix<double, nControls, 1> control_vector_t;
+
+typedef Eigen::Matrix<double, nStates, nStates> state_matrix_t;
+typedef Eigen::Matrix<double, nControls, nControls> control_matrix_t;
+typedef Eigen::Matrix<double, nStates, nControls> control_gain_matrix_t;
+}
+}
+}
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoad.h b/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoad.h
new file mode 100644
index 0000000..1c8b307
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoad.h
@@ -0,0 +1,38 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/rbd/rbd.h>
+
+#include "generated/declarations.h"
+#include "generated/forward_dynamics.h"
+#include "generated/inertia_properties.h"
+#include "generated/inverse_dynamics.h"
+#include "generated/jacobians.h"
+#include "generated/jsim.h"
+#include "generated/transforms.h"
+#include "generated/link_data_map.h"
+#include "generated/traits.h"
+
+
+// define namespace and base
+#define ROBCOGEN_NS ct_quadrotor
+#define TARGET_NS quadrotor
+
+// define the links
+#define CT_BASE fr_body
+#define CT_L0 link1
+#define CT_L1 link2
+
+// define first end effector, the endeffector frame
+#define CT_N_EE 1
+#define CT_EE0 fr_ee
+#define CT_EE0_IS_ON_LINK 1
+#define CT_EE0_FIRST_JOINT 0
+#define CT_EE0_LAST_JOINT 1
+
+#include <ct/rbd/robot/robcogen/robcogenHelpers.h>
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoadFDSystem.h b/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoadFDSystem.h
new file mode 100644
index 0000000..8df5cbe
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoadFDSystem.h
@@ -0,0 +1,135 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+#include <ct/core/core.h>
+#include <ct/rbd/rbd.h>
+
+namespace ct {
+namespace rbd {
+
+template <class RBDDynamics, bool QUAT_INTEGRATION = false>
+class QuadrotorWithLoadFDSystem
+ : public RBDSystem<RBDDynamics, QUAT_INTEGRATION>,
+ public core::ControlledSystem<RBDDynamics::NSTATE + QUAT_INTEGRATION, 4, typename RBDDynamics::SCALAR>
+{
+public:
+ using Dynamics = RBDDynamics;
+ using Kinematics = typename RBDDynamics::Kinematics_t;
+
+ typedef typename RBDDynamics::SCALAR SCALAR;
+
+ const static size_t STATE_DIM = RBDDynamics::NSTATE + QUAT_INTEGRATION;
+ const static size_t CONTROL_DIM = 4;
+
+ typedef core::ControlledSystem<STATE_DIM, CONTROL_DIM, SCALAR> Base;
+
+ QuadrotorWithLoadFDSystem(){};
+
+ QuadrotorWithLoadFDSystem(const QuadrotorWithLoadFDSystem& arg)
+ : RBDSystem<RBDDynamics, QUAT_INTEGRATION>(arg),
+ core::ControlledSystem<RBDDynamics::NSTATE + QUAT_INTEGRATION, 4, typename RBDDynamics::SCALAR>(arg),
+ dynamics_(arg.dynamics_)
+ {
+ }
+
+ virtual ~QuadrotorWithLoadFDSystem(){};
+
+ virtual RBDDynamics& dynamics() override { return dynamics_; }
+ virtual const RBDDynamics& dynamics() const override { return dynamics_; }
+ void computeControlledDynamics(const core::StateVector<STATE_DIM, SCALAR>& state,
+ const core::Time& t,
+ const core::ControlVector<CONTROL_DIM, SCALAR>& control,
+ core::StateVector<STATE_DIM, SCALAR>& derivative
+
+ ) override
+ {
+ typename RBDDynamics::RBDState_t x = RBDStateFromVector(state);
+
+ typename RBDDynamics::ExtLinkForces_t linkForces(Eigen::Matrix<SCALAR, 6, 1>::Zero());
+
+ mapControlInputsToLinkForces(x, control, linkForces);
+
+ typename RBDDynamics::RBDAcceleration_t xd;
+ ct::core::ControlVector<RBDDynamics::NJOINTS> joint_torques =
+ ct::core::ControlVector<RBDDynamics::NJOINTS>::Zero();
+
+ // introduce some light damping into the joint (friction) //! @todo tune this value
+ joint_torques = -0.0005 * x.joints().getVelocities();
+
+ dynamics_.FloatingBaseForwardDynamics(x, joint_torques, linkForces, xd);
+
+ derivative = toStateDerivative<QUAT_INTEGRATION>(xd, x);
+ }
+
+
+ void mapControlInputsToLinkForces(const typename RBDDynamics::RBDState_t& state,
+ const core::ControlVector<CONTROL_DIM, SCALAR>& control,
+ typename RBDDynamics::ExtLinkForces_t& linkForces)
+ {
+ /* u = [overall thrust, mx, my, mz]
+ * we directly map the control inputs into quadrotor body forces
+ * */
+
+ size_t baseLinkId = 0;
+ linkForces[static_cast<typename RBDDynamics::ROBCOGEN::LinkIdentifiers>(baseLinkId)].setZero();
+ linkForces[static_cast<typename RBDDynamics::ROBCOGEN::LinkIdentifiers>(baseLinkId)](5) =
+ control(0); // the thrust in quadrotor z-direction
+ linkForces[static_cast<typename RBDDynamics::ROBCOGEN::LinkIdentifiers>(baseLinkId)].template segment<3>(0) =
+ control.template segment<3>(1); // the torques
+ }
+
+ typename RBDDynamics::RBDState_t RBDStateFromVector(const core::StateVector<STATE_DIM, SCALAR>& state)
+ {
+ return RBDStateFromVectorImpl<QUAT_INTEGRATION>(state);
+ }
+
+ template <bool T>
+ typename RBDDynamics::RBDState_t RBDStateFromVectorImpl(const core::StateVector<STATE_DIM, SCALAR>& state,
+ typename std::enable_if<T, bool>::type = true)
+ {
+ typename RBDDynamics::RBDState_t x(RigidBodyPose::QUAT);
+ x.fromStateVectorQuaternion(state);
+ return x;
+ }
+
+ template <bool T>
+ typename RBDDynamics::RBDState_t RBDStateFromVectorImpl(const core::StateVector<STATE_DIM, SCALAR>& state,
+ typename std::enable_if<!T, bool>::type = true)
+ {
+ typename RBDDynamics::RBDState_t x(RigidBodyPose::EULER);
+ x.fromStateVectorEulerXyz(state);
+ return x;
+ }
+
+ template <bool T>
+ core::StateVector<STATE_DIM> toStateDerivative(const typename RBDDynamics::RBDAcceleration_t& acceleration,
+ const typename RBDDynamics::RBDState_t& state,
+ typename std::enable_if<T, bool>::type = true)
+ {
+ return acceleration.toStateUpdateVectorQuaternion(state);
+ }
+
+ template <bool T>
+ core::StateVector<STATE_DIM> toStateDerivative(const typename RBDDynamics::RBDAcceleration_t& acceleration,
+ const typename RBDDynamics::RBDState_t& state,
+ typename std::enable_if<!T, bool>::type = true)
+ {
+ return acceleration.toStateUpdateVectorEulerXyz(state);
+ }
+
+
+ virtual QuadrotorWithLoadFDSystem<RBDDynamics, QUAT_INTEGRATION>* clone() const override
+ {
+ return new QuadrotorWithLoadFDSystem(*this);
+ }
+
+private:
+ RBDDynamics dynamics_;
+};
+}
+}
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoadUrdfNames.h b/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoadUrdfNames.h
new file mode 100644
index 0000000..83047db
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/QuadrotorWithLoadUrdfNames.h
@@ -0,0 +1,24 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#pragma once
+
+namespace ct {
+namespace models {
+namespace quadrotor {
+
+static std::vector<std::string> urdfJointNames()
+{
+ std::vector<std::string> urdfJointNames = {
+ "jA", "jB",
+ };
+
+ return urdfJointNames;
+}
+
+} // quadrotor
+} // models
+} // ct
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/CMakeLists.txt b/ct_models/include/ct/models/QuadrotorWithLoad/generated/CMakeLists.txt
new file mode 100644
index 0000000..0b4ec94
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/CMakeLists.txt
@@ -0,0 +1,58 @@
+#-------------------------------------------------------------------------------
+#
+# CMake file for the autogenerated C++ code for the robot ct_quadrotor
+#
+# ADVanced Robotics department (ADVR)
+# Fondazione Istituto Italiano di Tecnologia
+#
+# Author: Marco Frigerio
+# Note: this file has been generated by the Robotics Code Generator.
+# Do not edit unless you know what you are doing.
+#-------------------------------------------------------------------------------
+
+# Project configuration
+cmake_minimum_required(VERSION 2.8)
+project(gen_ct_quadrotor)
+
+set(EIGEN_ROOT $ENV{EIGEN_ROOT} CACHE PATH "Path to Eigen headers")
+set(IIT_RBD_ROOT $ENV{IIT_RBD_ROOT} CACHE PATH "Path to iit-rbd headers")
+set(HEADER_INSTALL_ROOT /usr/local/include/ CACHE PATH "Where to install ct_quadrotor headers")
+set(LIB_INSTALL_ROOT /usr/local/lib/ CACHE PATH "Where to install ct_quadrotor library")
+
+SET(CMAKE_CXX_FLAGS "-g -Wall -O3 -march=native -mtune=native -D EIGEN_NO_DEBUG")
+
+set(LIB_NAME iitgenct_quadrotor)
+
+set(HEADERS ./declarations.h
+ ./link_data_map.h
+ ./joint_data_map.h
+ ./transforms.h
+ ./kinematics_parameters.h
+ ./jacobians.h
+ ./traits.h
+ ./jsim.h
+ ./inverse_dynamics.h
+ ./forward_dynamics.h
+ ./inertia_properties.h
+ ./dynamics_parameters.h
+ ./miscellaneous.h)
+set(SOURCES ./transforms.cpp
+ ./jacobians.cpp
+ ./jsim.cpp
+ ./inverse_dynamics.cpp
+ ./forward_dynamics.cpp
+ ./inertia_properties.cpp
+ ./miscellaneous.cpp)
+
+# Include directories
+include_directories(${EIGEN_ROOT})
+include_directories(${IIT_RBD_ROOT})
+
+# Add library
+add_library(${LIB_NAME} SHARED ${SOURCES})
+
+# Install (ie copy) header files
+install(FILES ${HEADERS} DESTINATION ${HEADER_INSTALL_ROOT}/iit/robots/ct_quadrotor/)
+
+# Install the shared library
+install(TARGETS ${LIB_NAME} LIBRARY DESTINATION ${LIB_INSTALL_ROOT})
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/declarations.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/declarations.h
new file mode 100644
index 0000000..6bef124
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/declarations.h
@@ -0,0 +1,44 @@
+#ifndef IIT_ROBOT_CT_QUADROTOR_DECLARATIONS_H_
+#define IIT_ROBOT_CT_QUADROTOR_DECLARATIONS_H_
+
+#include <Eigen/Dense>
+
+namespace iit {
+namespace ct_quadrotor {
+
+static const int JointSpaceDimension = 2;
+static const int jointsCount = 2;
+/** The total number of rigid bodies of this robot, including the base */
+static const int linksCount = 3;
+
+namespace tpl {
+template <typename SCALAR>
+using Column2d = Eigen::Matrix<SCALAR, 2, 1>;
+
+template <typename SCALAR>
+using JointState = Column2d<SCALAR>;
+}
+
+using Column2d = tpl::Column2d<double>;
+typedef Column2d JointState;
+
+enum JointIdentifiers {
+ JA = 0
+ , JB
+};
+
+enum LinkIdentifiers {
+ BODY = 0
+ , LINK1
+ , LINK2
+};
+
+static const JointIdentifiers orderedJointIDs[jointsCount] =
+ {JA,JB};
+
+static const LinkIdentifiers orderedLinkIDs[linksCount] =
+ {BODY,LINK1,LINK2};
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/default_dynparams_getter.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/default_dynparams_getter.h
new file mode 100644
index 0000000..3c2a3ba
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/default_dynparams_getter.h
@@ -0,0 +1,30 @@
+#ifndef _CT_QUADROTOR_DEFAULT_GETTER_INERTIA_PARAMETERS_
+#define _CT_QUADROTOR_DEFAULT_GETTER_INERTIA_PARAMETERS_
+
+#include "dynamics_parameters.h"
+
+namespace iit {
+namespace ct_quadrotor {
+namespace dyn {
+
+class DefaultParamsGetter : public RuntimeParamsGetter
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ DefaultParamsGetter() {
+ resetDefaults();
+ }
+ ~DefaultParamsGetter() {};
+
+ public:
+ void resetDefaults() {
+ }
+
+ private:
+ RuntimeInertiaParams values;
+};
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/dynamics_parameters.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/dynamics_parameters.h
new file mode 100644
index 0000000..f23921d
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/dynamics_parameters.h
@@ -0,0 +1,43 @@
+#ifndef _CT_QUADROTOR_RUNTIME_INERTIA_PARAMETERS_
+#define _CT_QUADROTOR_RUNTIME_INERTIA_PARAMETERS_
+
+namespace iit {
+namespace ct_quadrotor {
+namespace dyn {
+/**
+ * \defgroup dynparams Dynamics-parameters
+ * Facilities related to the parameters of the inertia properties of the
+ * robot ct_quadrotor.
+ *
+ * Inertia parameters are non-constants used in the robot model, where the
+ * inertia properties (mass, center of mass, intertia tensor) of the links
+ * are specified. Since the value of such parameters must be resolved
+ * at runtime, we sometimes refer to them as "runtime parameters", "runtime
+ * dynamics parameters", "runtime inertia parameters", etc.
+ *
+ * Do not confuse them with the "inertia properties" of links, which
+ * unfortunately, in the literature, are commonly referred to as
+ * "inertia parameters"... Here, the parameters are the non-constant
+ * fields of the inertia properties.
+ */
+
+ /**
+ * A container for the set of non-constant inertia parameters of the robot ct_quadrotor
+ * \ingroup dynparams
+ */
+ struct RuntimeInertiaParams {
+ };
+
+ /**
+ * The interface for classes that can compute the actual value of the
+ * non-constant inertia parameters of the robot ct_quadrotor.
+ * \ingroup dynparams
+ */
+ class RuntimeParamsGetter {
+ public:
+ };
+
+}
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.cpp
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.cpp
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.h
new file mode 100644
index 0000000..faab74f
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.h
@@ -0,0 +1,155 @@
+#ifndef IIT_ROBOT_CT_QUADROTOR_FORWARD_DYNAMICS_H_
+#define IIT_ROBOT_CT_QUADROTOR_FORWARD_DYNAMICS_H_
+
+#include <Eigen/Dense>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_quadrotor {
+namespace dyn {
+
+/**
+ * The Forward Dynamics routine for the robot ct_quadrotor.
+ *
+ * The parameters common to most of the methods are the joint status \c q, the
+ * joint velocities \c qd and the joint forces \c tau. The accelerations \c qdd
+ * will be filled with the computed values. Overloaded methods without the \c q
+ * parameter use the current configuration of the robot; they are provided for
+ * the sake of efficiency, in case the kinematics transforms of the robot have
+ * already been updated elsewhere with the most recent configuration (eg by a
+ * call to setJointStatus()), so that it would be useless to compute them again.
+ */
+
+namespace tpl{
+
+template <typename TRAIT>
+class ForwardDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ // Convenient type aliases:
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef iit::rbd::Core<SCALAR> CoreS;
+
+ typedef LinkDataMap<typename CoreS::ForceVector> ExtForces;
+ typedef typename CoreS::ForceVector Force;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef typename CoreS::Column6D Column6DS;
+ typedef typename iit::ct_quadrotor::tpl::JointState<SCALAR> JointState;
+ typedef typename CoreS::Matrix66 Matrix66S;
+
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> InertiaMatrix;
+ typedef iit::ct_quadrotor::tpl::MotionTransforms<TRAIT> MTransforms;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_quadrotor, which will be used by this instance
+ * to compute the dynamics.
+ */
+ ForwardDynamics(iit::ct_quadrotor::dyn::tpl::InertiaProperties<TRAIT>& in, MotionTransforms& tr);
+ /** \name Forward dynamics
+ * The Articulated-Body-Algorithm to compute the joint accelerations
+ */ ///@{
+ /**
+ * \param qdd the joint accelerations vector (output parameter).
+ * \param body_a
+ * \param body_v
+ * \param g the gravity acceleration vector, expressed in the
+ * base coordinates
+ * \param q the joint status vector
+ * \param qd the joint velocities vector
+ * \param tau the joint forces (torque or force)
+ * \param fext the external forces, optional. Each force must be
+ * expressed in the reference frame of the link it is
+ * exerted on.
+ */
+ void fd(
+ JointState& qdd, Acceleration& body_a, // output parameters,
+ const Velocity& body_v, const Acceleration& g,
+ const JointState& q, const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ void fd(
+ JointState& qdd, Acceleration& body_a, // output parameters,
+ const Velocity& body_v, const Acceleration& g,
+ const JointState& qd, const JointState& tau, const ExtForces& fext = zeroExtForces);
+ ///@}
+
+ /** Updates all the kinematics transforms used by this instance. */
+ void setJointStatus(const JointState& q) const;
+
+private:
+ iit::ct_quadrotor::dyn::tpl::InertiaProperties<TRAIT>* inertiaProps;
+ MTransforms* motionTransforms;
+
+ Matrix66S vcross; // support variable
+ Matrix66S Ia_r; // support variable, articulated inertia in the case of a revolute joint
+ // Link 'body'
+ Matrix66S body_AI;
+ Force body_p;
+
+ // Link 'link1' :
+ Matrix66S link1_AI;
+ Velocity link1_a;
+ Velocity link1_v;
+ Velocity link1_c;
+ Force link1_p;
+
+ Column6DS link1_U;
+ SCALAR link1_D;
+ SCALAR link1_u;
+ // Link 'link2' :
+ Matrix66S link2_AI;
+ Velocity link2_a;
+ Velocity link2_v;
+ Velocity link2_c;
+ Force link2_p;
+
+ Column6DS link2_U;
+ SCALAR link2_D;
+ SCALAR link2_u;
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void ForwardDynamics<TRAIT>::setJointStatus(const JointState& q) const {
+ (motionTransforms-> fr_link1_X_fr_body)(q);
+ (motionTransforms-> fr_link2_X_fr_link1)(q);
+}
+
+template<typename TRAIT>
+inline void ForwardDynamics<TRAIT>::fd(
+ JointState& qdd, Acceleration& body_a, // output parameters,
+ const Velocity& body_v, const Acceleration& g,
+ const JointState& q,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+ setJointStatus(q);
+ fd(qdd, body_a, body_v, g, qd, tau, fext);
+}
+
+} // namespace tpl
+
+typedef tpl::ForwardDynamics<rbd::DoubleTrait> ForwardDynamics;
+
+}
+}
+}
+
+#include "forward_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.impl.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.impl.h
new file mode 100644
index 0000000..b4b25fb
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/forward_dynamics.impl.h
@@ -0,0 +1,114 @@
+
+
+// Initialization of static-const data
+template<typename TRAIT>
+const typename iit::ct_quadrotor::dyn::tpl::ForwardDynamics<TRAIT>::ExtForces
+ iit::ct_quadrotor::dyn::tpl::ForwardDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template<typename TRAIT>
+iit::ct_quadrotor::dyn::tpl::ForwardDynamics<TRAIT>::ForwardDynamics(iit::ct_quadrotor::dyn::tpl::InertiaProperties<TRAIT>& inertia, MotionTransforms& transforms) :
+ inertiaProps( & inertia ),
+ motionTransforms( & transforms )
+{
+ link1_v.setZero();
+ link1_c.setZero();
+ link2_v.setZero();
+ link2_c.setZero();
+
+ vcross.setZero();
+ Ia_r.setZero();
+
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::dyn::tpl::ForwardDynamics<TRAIT>::fd(
+ JointState& qdd,
+ Acceleration& body_a,
+ const Velocity& body_v,
+ const Acceleration& g,
+ const JointState& qd,
+ const JointState& tau,
+ const ExtForces& fext/* = zeroExtForces */)
+{
+
+ body_AI = inertiaProps->getTensor_body();
+ body_p = - fext[BODY];
+ link1_AI = inertiaProps->getTensor_link1();
+ link1_p = - fext[LINK1];
+ link2_AI = inertiaProps->getTensor_link2();
+ link2_p = - fext[LINK2];
+ // ---------------------- FIRST PASS ---------------------- //
+ // Note that, during the first pass, the articulated inertias are really
+ // just the spatial inertia of the links (see assignments above).
+ // Afterwards things change, and articulated inertias shall not be used
+ // in functions which work specifically with spatial inertias.
+
+ // + Link link1
+ // - The spatial velocity:
+ link1_v = (motionTransforms-> fr_link1_X_fr_body) * body_v;
+ link1_v(rbd::AZ) += qd(JA);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(link1_v, vcross);
+ link1_c = vcross.col(rbd::AZ) * qd(JA);
+
+ // - The bias force term:
+ link1_p += iit::rbd::vxIv(link1_v, link1_AI);
+
+ // + Link link2
+ // - The spatial velocity:
+ link2_v = (motionTransforms-> fr_link2_X_fr_link1) * link1_v;
+ link2_v(rbd::AZ) += qd(JB);
+
+ // - The velocity-product acceleration term:
+ iit::rbd::motionCrossProductMx<SCALAR>(link2_v, vcross);
+ link2_c = vcross.col(rbd::AZ) * qd(JB);
+
+ // - The bias force term:
+ link2_p += iit::rbd::vxIv(link2_v, link2_AI);
+
+ // + The floating base body
+ body_p += iit::rbd::vxIv(body_v, body_AI);
+
+ // ---------------------- SECOND PASS ---------------------- //
+ Matrix66S IaB;
+ Force pa;
+
+ // + Link link2
+ link2_u = tau(JB) - link2_p(rbd::AZ);
+ link2_U = link2_AI.col(rbd::AZ);
+ link2_D = link2_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(link2_AI, link2_U, link2_D, Ia_r); // same as: Ia_r = link2_AI - link2_U/link2_D * link2_U.transpose();
+ pa = link2_p + Ia_r * link2_c + link2_U * link2_u/link2_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_link2_X_fr_link1, IaB);
+ link1_AI += IaB;
+ link1_p += (motionTransforms-> fr_link2_X_fr_link1).transpose() * pa;
+
+ // + Link link1
+ link1_u = tau(JA) - link1_p(rbd::AZ);
+ link1_U = link1_AI.col(rbd::AZ);
+ link1_D = link1_U(rbd::AZ);
+
+ iit::rbd::compute_Ia_revolute(link1_AI, link1_U, link1_D, Ia_r); // same as: Ia_r = link1_AI - link1_U/link1_D * link1_U.transpose();
+ pa = link1_p + Ia_r * link1_c + link1_U * link1_u/link1_D;
+ ctransform_Ia_revolute(Ia_r, motionTransforms-> fr_link1_X_fr_body, IaB);
+ body_AI += IaB;
+ body_p += (motionTransforms-> fr_link1_X_fr_body).transpose() * pa;
+
+ // + The acceleration of the floating base body, without gravity
+ body_a = - TRAIT::solve(body_AI, body_p); // body_a = - IA^-1 * body_p
+
+ // ---------------------- THIRD PASS ---------------------- //
+ link1_a = (motionTransforms-> fr_link1_X_fr_body) * body_a + link1_c;
+ qdd(JA) = (link1_u - link1_U.dot(link1_a)) / link1_D;
+ link1_a(rbd::AZ) += qdd(JA);
+
+ link2_a = (motionTransforms-> fr_link2_X_fr_link1) * link1_a + link2_c;
+ qdd(JB) = (link2_u - link2_U.dot(link2_a)) / link2_D;
+ link2_a(rbd::AZ) += qdd(JB);
+
+
+ // + Add gravity to the acceleration of the floating base
+ body_a += g;
+}
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.cpp
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.cpp
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.h
new file mode 100644
index 0000000..5030b43
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.h
@@ -0,0 +1,112 @@
+#ifndef IIT_ROBOT_CT_QUADROTOR_INERTIA_PROPERTIES_H_
+#define IIT_ROBOT_CT_QUADROTOR_INERTIA_PROPERTIES_H_
+
+#include <Eigen/Dense>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_quadrotor {
+/**
+ * This namespace encloses classes and functions related to the Dynamics
+ * of the robot ct_quadrotor.
+ */
+namespace dyn {
+
+using InertiaMatrix = iit::rbd::InertiaMatrixDense;
+
+namespace tpl{
+
+template<typename TRAIT>
+class InertiaProperties {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> IMatrix;
+ typedef Eigen::Matrix<SCALAR, 3, 1> Vec3d;
+
+ InertiaProperties();
+ ~InertiaProperties();
+ const IMatrix& getTensor_body() const;
+ const IMatrix& getTensor_link1() const;
+ const IMatrix& getTensor_link2() const;
+ SCALAR getMass_body() const;
+ SCALAR getMass_link1() const;
+ SCALAR getMass_link2() const;
+ const Vec3d& getCOM_body() const;
+ const Vec3d& getCOM_link1() const;
+ const Vec3d& getCOM_link2() const;
+ SCALAR getTotalMass() const;
+
+ private:
+
+ IMatrix tensor_body;
+ IMatrix tensor_link1;
+ IMatrix tensor_link2;
+ Vec3d com_body;
+ Vec3d com_link1;
+ Vec3d com_link2;
+};
+
+template <typename TRAIT>
+inline InertiaProperties<TRAIT>::~InertiaProperties() {}
+
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_body() const {
+ return this->tensor_body;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_link1() const {
+ return this->tensor_link1;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::IMatrix& InertiaProperties<TRAIT>::getTensor_link2() const {
+ return this->tensor_link2;
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_body() const {
+ return this->tensor_body.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_link1() const {
+ return this->tensor_link1.getMass();
+}
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getMass_link2() const {
+ return this->tensor_link2.getMass();
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_body() const {
+ return this->com_body;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_link1() const {
+ return this->com_link1;
+}
+template <typename TRAIT>
+inline const typename InertiaProperties<TRAIT>::Vec3d& InertiaProperties<TRAIT>::getCOM_link2() const {
+ return this->com_link2;
+}
+
+template <typename TRAIT>
+inline typename InertiaProperties<TRAIT>::SCALAR InertiaProperties<TRAIT>::getTotalMass() const {
+ return 0.5 + 0.025 + 0.1;
+}
+
+} // namespace tpl
+
+using InertiaProperties = tpl::InertiaProperties<rbd::DoubleTrait>;
+
+}
+}
+}
+
+#include "inertia_properties.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.impl.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.impl.h
new file mode 100644
index 0000000..314feae
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inertia_properties.impl.h
@@ -0,0 +1,41 @@
+template <typename TRAIT>
+iit::ct_quadrotor::dyn::tpl::InertiaProperties<TRAIT>::InertiaProperties()
+{
+ com_body = iit::rbd::Vector3d(0.0,0.0,0.0).cast<SCALAR>();
+ tensor_body.fill(
+ SCALAR(0.5),
+ com_body,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.03),
+ SCALAR(0.05),
+ SCALAR(0.03),
+ SCALAR(0.0),
+ SCALAR(0.0),
+ SCALAR(0.0)) );
+
+ com_link1 = iit::rbd::Vector3d(0.0,0.0,-0.05).cast<SCALAR>();
+ tensor_link1.fill(
+ SCALAR(0.025),
+ com_link1,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(2.075E-5),
+ SCALAR(1.0E-6),
+ SCALAR(2.075E-5),
+ SCALAR(0.0),
+ SCALAR(0.0),
+ SCALAR(0.0)) );
+
+ com_link2 = iit::rbd::Vector3d(0.35,0.0,0.0).cast<SCALAR>();
+ tensor_link2.fill(
+ SCALAR(0.1),
+ com_link2,
+ rbd::Utils::buildInertiaTensor(
+ SCALAR(0.004084),
+ SCALAR(0.004084),
+ SCALAR(2.5E-6),
+ SCALAR(0.0),
+ SCALAR(0.0),
+ SCALAR(0.0)) );
+
+}
+
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.cpp
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.cpp
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.h
new file mode 100644
index 0000000..376c01b
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.h
@@ -0,0 +1,274 @@
+#ifndef IIT_CT_QUADROTOR_INVERSE_DYNAMICS_H_
+#define IIT_CT_QUADROTOR_INVERSE_DYNAMICS_H_
+
+#include <Eigen/Dense>
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/InertiaMatrix.h>
+#include <iit/rbd/utils.h>
+#include <iit/rbd/robcogen_commons.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+
+#include "declarations.h"
+#include "inertia_properties.h"
+#include "transforms.h"
+#include "link_data_map.h"
+
+namespace iit {
+namespace ct_quadrotor {
+namespace dyn {
+
+/**
+ * The Inverse Dynamics routine for the robot ct_quadrotor.
+ *
+ * In addition to the full Newton-Euler algorithm, specialized versions to compute
+ * only certain terms are provided.
+ * The parameters common to most of the methods are the joint status vector \c q, the
+ * joint velocity vector \c qd and the acceleration vector \c qdd.
+ *
+ * Additional overloaded methods are provided without the \c q parameter. These
+ * methods use the current configuration of the robot; they are provided for the
+ * sake of efficiency, in case the motion transforms of the robot have already
+ * been updated elsewhere with the most recent configuration (eg by a call to
+ * setJointStatus()), so that it is useless to compute them again.
+ *
+ * Whenever present, the external forces parameter is a set of external
+ * wrenches acting on the robot links. Each wrench must be expressed in
+ * the reference frame of the link it is excerted on.
+ */
+
+namespace tpl {
+
+template <typename TRAIT>
+class InverseDynamics {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef iit::rbd::Core<SCALAR> CoreS;
+
+ typedef typename CoreS::ForceVector Force;
+ typedef LinkDataMap<Force> ExtForces;
+ typedef typename CoreS::VelocityVector Velocity;
+ typedef typename CoreS::VelocityVector Acceleration;
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> InertiaMatrix;
+ typedef iit::ct_quadrotor::tpl::JointState<SCALAR> JointState;
+ typedef typename CoreS::Matrix66 Matrix66s;
+ typedef iit::ct_quadrotor::tpl::MotionTransforms<TRAIT> MTransforms;
+ typedef InertiaProperties<TRAIT> IProperties;
+
+public:
+ /**
+ * Default constructor
+ * \param in the inertia properties of the links
+ * \param tr the container of all the spatial motion transforms of
+ * the robot ct_quadrotor, which will be used by this instance
+ * to compute inverse-dynamics.
+ */
+ InverseDynamics(IProperties& in, MTransforms& tr);
+
+ /** \name Inverse dynamics
+ * The full algorithm for the inverse dynamics of this robot.
+ *
+ * All the spatial vectors in the parameters are expressed in base coordinates,
+ * besides the external forces: each force must be expressed in the reference
+ * frame of the link it is acting on.
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[out] baseAccel the spatial acceleration of the robot base
+ * \param[in] g the gravity acceleration, as a spatial vector;
+ * gravity implicitly specifies the orientation of the base in space
+ * \param[in] body_v the spatial velocity of the base
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */ ///@{
+ void id(
+ JointState& jForces, Acceleration& body_a,
+ const Acceleration& g, const Velocity& body_v,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ void id(
+ JointState& jForces, Acceleration& body_a,
+ const Acceleration& g, const Velocity& body_v,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext = zeroExtForces);
+ ///@}
+ /** \name Inverse dynamics, fully actuated base
+ * The inverse dynamics algorithm for the floating base robot,
+ * in the assumption of a fully actuated base.
+ *
+ * All the spatial vectors in the parameters are expressed in base coordinates,
+ * besides the external forces: each force must be expressed in the reference
+ * frame of the link it is acting on.
+ * \param[out] baseWrench the spatial force to be applied to the robot base to achieve
+ * the desired accelerations
+ * \param[out] jForces the joint force vector required to achieve the desired accelerations
+ * \param[in] g the gravity acceleration, as a spatial vector;
+ * gravity implicitly specifies the orientation of the base in space
+ * \param[in] body_v the spatial velocity of the base
+ * \param[in] baseAccel the desired spatial acceleration of the robot base
+ * \param[in] q the joint position vector
+ * \param[in] qd the joint velocity vector
+ * \param[in] qdd the desired joint acceleration vector
+ * \param[in] fext the external forces acting on the links; this parameters
+ * defaults to zero
+ */ ///@{
+ void id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& body_v, const Acceleration& baseAccel,
+ const JointState& q, const JointState& qd, const JointState& qdd, const ExtForces& fext = zeroExtForces);
+ void id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& body_v, const Acceleration& baseAccel,
+ const JointState& qd, const JointState& qdd, const ExtForces& fext = zeroExtForces);
+ ///@}
+ /** \name Gravity terms, fully actuated base
+ */
+ ///@{
+ void G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const JointState& q);
+ void G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g);
+ ///@}
+ /** \name Centrifugal and Coriolis terms, fully actuated base
+ *
+ * These functions take only velocity inputs, that is, they assume
+ * a zero spatial acceleration of the base (in addition to zero acceleration
+ * at the actuated joints).
+ * Note that this is NOT the same as imposing zero acceleration
+ * at the virtual 6-dof-floting-base joint, which would result, in general,
+ * in a non-zero spatial acceleration of the base, due to velocity
+ * product terms.
+ */
+ ///@{
+ void C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& body_v, const JointState& q, const JointState& qd);
+ void C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& body_v, const JointState& qd);
+ ///@}
+ /** Updates all the kinematics transforms used by the inverse dynamics routine. */
+ void setJointStatus(const JointState& q) const;
+
+public:
+ /** \name Getters
+ * These functions return various spatial quantities used internally
+ * by the inverse dynamics routines, like the spatial acceleration
+ * of the links.
+ *
+ * The getters can be useful to retrieve the additional data that is not
+ * returned explicitly by the inverse dynamics routines even though it
+ * is computed. For example, after a call to the inverse dynamics,
+ * the spatial velocity of all the links has been determined and
+ * can be accessed.
+ *
+ * However, beware that certain routines might not use some of the
+ * spatial quantities, which therefore would retain their last value
+ * without being updated nor reset (for example, the spatial velocity
+ * of the links is unaffected by the computation of the gravity terms).
+ */
+ ///@{
+ const Force& getForce_body() const { return body_f; }
+ const Velocity& getVelocity_link1() const { return link1_v; }
+ const Acceleration& getAcceleration_link1() const { return link1_a; }
+ const Force& getForce_link1() const { return link1_f; }
+ const Velocity& getVelocity_link2() const { return link2_v; }
+ const Acceleration& getAcceleration_link2() const { return link2_a; }
+ const Force& getForce_link2() const { return link2_f; }
+ ///@}
+protected:
+ void secondPass_fullyActuated(JointState& jForces);
+
+private:
+ IProperties* inertiaProps;
+ MTransforms* xm;
+private:
+ Matrix66s vcross; // support variable
+ // Link 'link1' :
+ const InertiaMatrix& link1_I;
+ Velocity link1_v;
+ Acceleration link1_a;
+ Force link1_f;
+ // Link 'link2' :
+ const InertiaMatrix& link2_I;
+ Velocity link2_v;
+ Acceleration link2_a;
+ Force link2_f;
+
+ // The robot base
+ const InertiaMatrix& body_I;
+ InertiaMatrix body_Ic;
+ Force body_f;
+ // The composite inertia tensors
+ InertiaMatrix link1_Ic;
+ const InertiaMatrix& link2_Ic;
+
+private:
+ static const ExtForces zeroExtForces;
+};
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::setJointStatus(const JointState& q) const
+{
+ (xm->fr_link1_X_fr_body)(q);
+ (xm->fr_link2_X_fr_link1)(q);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id(
+ JointState& jForces, Acceleration& body_a,
+ const Acceleration& g, const Velocity& body_v,
+ const JointState& q, const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ setJointStatus(q);
+ id(jForces, body_a, g, body_v,
+ qd, qdd, fext);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const JointState& q)
+{
+ setJointStatus(q);
+ G_terms_fully_actuated(baseWrench, jForces, g);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& body_v, const JointState& q, const JointState& qd)
+{
+ setJointStatus(q);
+ C_terms_fully_actuated(baseWrench, jForces, body_v, qd);
+}
+
+template <typename TRAIT>
+inline void InverseDynamics<TRAIT>::id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& body_v, const Acceleration& baseAccel,
+ const JointState& q, const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ setJointStatus(q);
+ id_fully_actuated(baseWrench, jForces, g, body_v,
+ baseAccel, qd, qdd, fext);
+}
+
+} // namespace tpl
+
+typedef tpl::InverseDynamics<rbd::DoubleTrait> InverseDynamics;
+
+}
+}
+
+}
+
+#include "inverse_dynamics.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.impl.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.impl.h
new file mode 100644
index 0000000..c62265e
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/inverse_dynamics.impl.h
@@ -0,0 +1,186 @@
+
+// Initialization of static-const data
+template <typename TRAIT>
+const typename iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::ExtForces
+iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::zeroExtForces(Force::Zero());
+
+template <typename TRAIT>
+iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::InverseDynamics(IProperties& inertia, MTransforms& transforms) :
+ inertiaProps( & inertia ),
+ xm( & transforms ),
+ link1_I(inertiaProps->getTensor_link1() ),
+ link2_I(inertiaProps->getTensor_link2() )
+ ,
+ body_I( inertiaProps->getTensor_body() ),
+ link2_Ic(link2_I)
+{
+#ifndef EIGEN_NO_DEBUG
+ std::cout << "Robot ct_quadrotor, InverseDynamics<TRAIT>::InverseDynamics()" << std::endl;
+ std::cout << "Compiled with Eigen debug active" << std::endl;
+#endif
+ link1_v.setZero();
+ link2_v.setZero();
+
+ vcross.setZero();
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::id(
+ JointState& jForces, Acceleration& body_a,
+ const Acceleration& g, const Velocity& body_v,
+ const JointState& qd, const JointState& qdd,
+ const ExtForces& fext)
+{
+ body_Ic = body_I;
+ link1_Ic = link1_I;
+
+ // First pass, link 'link1'
+ link1_v = ((xm->fr_link1_X_fr_body) * body_v);
+ link1_v(iit::rbd::AZ) += qd(JA);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(link1_v, vcross);
+
+ link1_a = (vcross.col(iit::rbd::AZ) * qd(JA));
+ link1_a(iit::rbd::AZ) += qdd(JA);
+
+ link1_f = link1_I * link1_a + iit::rbd::vxIv(link1_v, link1_I);
+
+ // First pass, link 'link2'
+ link2_v = ((xm->fr_link2_X_fr_link1) * link1_v);
+ link2_v(iit::rbd::AZ) += qd(JB);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(link2_v, vcross);
+
+ link2_a = (xm->fr_link2_X_fr_link1) * link1_a + vcross.col(iit::rbd::AZ) * qd(JB);
+ link2_a(iit::rbd::AZ) += qdd(JB);
+
+ link2_f = link2_I * link2_a + iit::rbd::vxIv(link2_v, link2_I);
+
+ // The force exerted on the floating base by the links
+ body_f = iit::rbd::vxIv(body_v, body_I);
+
+
+ // Add the external forces:
+ body_f -= fext[BODY];
+ link1_f -= fext[LINK1];
+ link2_f -= fext[LINK2];
+
+ link1_Ic = link1_Ic + (xm->fr_link2_X_fr_link1).transpose() * link2_Ic * (xm->fr_link2_X_fr_link1);
+ link1_f = link1_f + (xm->fr_link2_X_fr_link1).transpose() * link2_f;
+
+ body_Ic = body_Ic + (xm->fr_link1_X_fr_body).transpose() * link1_Ic * (xm->fr_link1_X_fr_body);
+ body_f = body_f + (xm->fr_link1_X_fr_body).transpose() * link1_f;
+
+
+ // The base acceleration due to the force due to the movement of the links
+ body_a = - body_Ic.inverse() * body_f;
+
+ link1_a = xm->fr_link1_X_fr_body * body_a;
+ jForces(JA) = (link1_Ic.row(iit::rbd::AZ) * link1_a + link1_f(iit::rbd::AZ));
+
+ link2_a = xm->fr_link2_X_fr_link1 * link1_a;
+ jForces(JB) = (link2_Ic.row(iit::rbd::AZ) * link2_a + link2_f(iit::rbd::AZ));
+
+
+ body_a += g;
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::G_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g)
+{
+ const Acceleration& body_a = -g;
+
+ // Link 'link1'
+ link1_a = (xm->fr_link1_X_fr_body) * body_a;
+ link1_f = link1_I * link1_a;
+ // Link 'link2'
+ link2_a = (xm->fr_link2_X_fr_link1) * link1_a;
+ link2_f = link2_I * link2_a;
+
+ body_f = body_I * body_a;
+
+ secondPass_fullyActuated(jForces);
+
+ baseWrench = body_f;
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::C_terms_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Velocity& body_v, const JointState& qd)
+{
+ // Link 'link1'
+ link1_v = ((xm->fr_link1_X_fr_body) * body_v);
+ link1_v(iit::rbd::AZ) += qd(JA);
+ iit::rbd::motionCrossProductMx<SCALAR>(link1_v, vcross);
+ link1_a = (vcross.col(iit::rbd::AZ) * qd(JA));
+ link1_f = link1_I * link1_a + iit::rbd::vxIv(link1_v, link1_I);
+
+ // Link 'link2'
+ link2_v = ((xm->fr_link2_X_fr_link1) * link1_v);
+ link2_v(iit::rbd::AZ) += qd(JB);
+ iit::rbd::motionCrossProductMx<SCALAR>(link2_v, vcross);
+ link2_a = (xm->fr_link2_X_fr_link1) * link1_a + vcross.col(iit::rbd::AZ) * qd(JB);
+ link2_f = link2_I * link2_a + iit::rbd::vxIv(link2_v, link2_I);
+
+
+ body_f = iit::rbd::vxIv(body_v, body_I);
+
+ secondPass_fullyActuated(jForces);
+
+ baseWrench = body_f;
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::id_fully_actuated(
+ Force& baseWrench, JointState& jForces,
+ const Acceleration& g, const Velocity& body_v, const Acceleration& baseAccel,
+ const JointState& qd, const JointState& qdd, const ExtForces& fext)
+{
+ Acceleration body_a = baseAccel -g;
+
+ // First pass, link 'link1'
+ link1_v = ((xm->fr_link1_X_fr_body) * body_v);
+ link1_v(iit::rbd::AZ) += qd(JA);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(link1_v, vcross);
+
+ link1_a = (xm->fr_link1_X_fr_body) * body_a + vcross.col(iit::rbd::AZ) * qd(JA);
+ link1_a(iit::rbd::AZ) += qdd(JA);
+
+ link1_f = link1_I * link1_a + iit::rbd::vxIv(link1_v, link1_I) - fext[LINK1];
+
+ // First pass, link 'link2'
+ link2_v = ((xm->fr_link2_X_fr_link1) * link1_v);
+ link2_v(iit::rbd::AZ) += qd(JB);
+
+ iit::rbd::motionCrossProductMx<SCALAR>(link2_v, vcross);
+
+ link2_a = (xm->fr_link2_X_fr_link1) * link1_a + vcross.col(iit::rbd::AZ) * qd(JB);
+ link2_a(iit::rbd::AZ) += qdd(JB);
+
+ link2_f = link2_I * link2_a + iit::rbd::vxIv(link2_v, link2_I) - fext[LINK2];
+
+
+ // The base
+ body_f = body_I * body_a + iit::rbd::vxIv(body_v, body_I) - fext[BODY];
+
+ secondPass_fullyActuated(jForces);
+
+ baseWrench = body_f;
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::dyn::tpl::InverseDynamics<TRAIT>::secondPass_fullyActuated(JointState& jForces)
+{
+ // Link 'link2'
+ jForces(JB) = link2_f(iit::rbd::AZ);
+ link1_f += xm->fr_link2_X_fr_link1.transpose() * link2_f;
+ // Link 'link1'
+ jForces(JA) = link1_f(iit::rbd::AZ);
+ body_f += xm->fr_link1_X_fr_body.transpose() * link1_f;
+}
+
+
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.cpp
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.cpp
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.h
new file mode 100644
index 0000000..aadc193
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.h
@@ -0,0 +1,59 @@
+#ifndef CT_QUADROTOR_JACOBIANS_H_
+#define CT_QUADROTOR_JACOBIANS_H_
+
+#include <iit/rbd/TransformsBase.h>
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "declarations.h"
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_quadrotor {
+
+template<typename SCALAR, int COLS, class M>
+class JacobianT : public iit::rbd::JacobianBase<tpl::JointState<SCALAR>, COLS, M>
+{};
+
+namespace tpl{
+
+/**
+ *
+ */
+template <typename TRAIT>
+class Jacobians {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+
+ class Type_fr_body_J_fr_ee : public JacobianT<SCALAR, 2, Type_fr_body_J_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_J_fr_ee();
+ const Type_fr_body_J_fr_ee& update(const JState&);
+ protected:
+ };
+
+ public:
+ Jacobians();
+ void updateParameters();
+ public:
+ Type_fr_body_J_fr_ee fr_body_J_fr_ee;
+
+ protected:
+
+};
+
+} //namespace tpl
+
+using Jacobians = tpl::Jacobians<rbd::DoubleTrait>;
+
+#include "jacobians.impl.h"
+
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.impl.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.impl.h
new file mode 100644
index 0000000..62ebb08
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jacobians.impl.h
@@ -0,0 +1,46 @@
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::Jacobians<TRAIT>::Jacobians
+ ()
+ :
+ fr_body_J_fr_ee()
+{
+ updateParameters();
+}
+
+template <typename TRAIT>
+void iit::ct_quadrotor::tpl::Jacobians<TRAIT>::updateParameters() {
+}
+
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::Jacobians<TRAIT>::Type_fr_body_J_fr_ee::Type_fr_body_J_fr_ee()
+{
+ (*this)(0,0) = 0;
+ (*this)(1,0) = 0;
+ (*this)(2,0) = 1.0;
+ (*this)(2,1) = 0;
+ (*this)(5,0) = 0;
+}
+
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::Jacobians<TRAIT>::Type_fr_body_J_fr_ee& iit::ct_quadrotor::tpl::Jacobians<TRAIT>::Type_fr_body_J_fr_ee::update(const JState& jState) {
+ SCALAR sin__q_jA__;
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jA__ = TRAIT::sin( jState(JA));
+ sin__q_jB__ = TRAIT::sin( jState(JB));
+ cos__q_jA__ = TRAIT::cos( jState(JA));
+ cos__q_jB__ = TRAIT::cos( jState(JB));
+
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(1,1) = - cos__q_jA__;
+ (*this)(3,0) = ((- 0.7 * sin__q_jA__) * sin__q_jB__);
+ (*this)(3,1) = (( 0.7 * cos__q_jA__) * cos__q_jB__);
+ (*this)(4,0) = (( 0.7 * cos__q_jA__) * sin__q_jB__);
+ (*this)(4,1) = (( 0.7 * sin__q_jA__) * cos__q_jB__);
+ (*this)(5,1) = ( 0.7 * sin__q_jB__);
+ return *this;
+}
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/joint_data_map.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/joint_data_map.h
new file mode 100644
index 0000000..549e330
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/joint_data_map.h
@@ -0,0 +1,90 @@
+#ifndef IIT_CT_QUADROTOR_JOINT_DATA_MAP_H_
+#define IIT_CT_QUADROTOR_JOINT_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_quadrotor {
+
+/**
+ * A very simple container to associate a generic data item to each joint
+ */
+template<typename T> class JointDataMap {
+private:
+ T data[jointsCount];
+public:
+ JointDataMap() {};
+ JointDataMap(const T& defaultValue);
+ JointDataMap(const JointDataMap& rhs);
+ JointDataMap& operator=(const JointDataMap& rhs);
+ JointDataMap& operator=(const T& rhs);
+ T& operator[](JointIdentifiers which);
+ const T& operator[](JointIdentifiers which) const;
+private:
+ void copydata(const JointDataMap& rhs);
+ void assigndata(const T& rhs);
+};
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+JointDataMap<T>::JointDataMap(const JointDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const JointDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+JointDataMap<T>& JointDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& JointDataMap<T>::operator[](JointIdentifiers j) {
+ return data[j];
+}
+
+template<typename T> inline
+const T& JointDataMap<T>::operator[](JointIdentifiers j) const {
+ return data[j];
+}
+
+template<typename T> inline
+void JointDataMap<T>::copydata(const JointDataMap& rhs) {
+ data[JA] = rhs[JA];
+ data[JB] = rhs[JB];
+}
+
+template<typename T> inline
+void JointDataMap<T>::assigndata(const T& value) {
+ data[JA] = value;
+ data[JB] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const JointDataMap<T>& map) {
+ out
+ << " jA = "
+ << map[JA]
+ << " jB = "
+ << map[JB]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.cpp
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.cpp
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.h
new file mode 100644
index 0000000..379ad77
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.h
@@ -0,0 +1,150 @@
+#ifndef IIT_CT_QUADROTOR_JSIM_H_
+#define IIT_CT_QUADROTOR_JSIM_H_
+
+#include <iit/rbd/rbd.h>
+#include <iit/rbd/StateDependentMatrix.h>
+#include <iit/rbd/robcogen_commons.h>
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inertia_properties.h"
+#include <iit/rbd/traits/DoubleTrait.h>
+
+
+namespace iit {
+namespace ct_quadrotor {
+namespace dyn {
+
+namespace tpl{
+
+/**
+ * The type of the Joint Space Inertia Matrix (JSIM) of the robot ct_quadrotor.
+ */
+template <class TRAIT>
+class JSIM : public iit::rbd::StateDependentMatrix<iit::ct_quadrotor::JointState, 8, 8, JSIM<TRAIT>>
+{
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ private:
+ typedef iit::rbd::StateDependentMatrix<iit::ct_quadrotor::JointState, 8, 8, JSIM<TRAIT>> Base;
+ public:
+ typedef typename TRAIT::Scalar SCALAR;
+ typedef typename Base::Index Index;
+ typedef Eigen::Matrix<SCALAR,8,8> MatrixType;
+ /** The type of the F sub-block of the floating-base JSIM */
+ typedef const Eigen::Block<const MatrixType,6,2> BlockF_t;
+ /** The type of the fixed-base sub-block of the JSIM */
+ typedef const Eigen::Block<const MatrixType,2,2> BlockFixedBase_t;
+ typedef InertiaProperties<TRAIT> IProperties;
+ typedef iit::ct_quadrotor::tpl::ForceTransforms<TRAIT> FTransforms;
+ typedef iit::rbd::tpl::InertiaMatrixDense<SCALAR> InertiaMatrix;
+
+ public:
+ JSIM(IProperties&, FTransforms&);
+ ~JSIM() {}
+
+ const JSIM& update(const iit::ct_quadrotor::JointState&);
+
+
+ /**
+ * Computes and saves the matrix L of the L^T L factorization of this JSIM.
+ */
+ void computeL();
+ /**
+ * Computes and saves the inverse of this JSIM.
+ * This function assumes that computeL() has been called already, since it
+ * uses L to compute the inverse. The algorithm takes advantage of the branch
+ * induced sparsity of the robot, if any.
+ */
+ void computeInverse();
+ /**
+ * Returns an unmodifiable reference to the matrix L. See also computeL()
+ */
+ const MatrixType& getL() const;
+ /**
+ * Returns an unmodifiable reference to the inverse of this JSIM
+ */
+ const MatrixType& getInverse() const;
+
+ /**
+ * The spatial composite-inertia tensor of the robot base,
+ * ie the inertia of the whole robot for the current configuration.
+ * According to the convention of this class about the layout of the
+ * floating-base JSIM, this tensor is the 6x6 upper left corner of
+ * the JSIM itself.
+ * \return the 6x6 InertiaMatrix that correspond to the spatial inertia
+ * tensor of the whole robot, according to the last joints configuration
+ * used to update this JSIM
+ */
+ const InertiaMatrix& getWholeBodyInertia() const;
+ /**
+ * The matrix that maps accelerations in the actual joints of the robot
+ * to the spatial force acting on the floating-base of the robot.
+ * This matrix is the F sub-block of the JSIM in Featherstone's notation.
+ * \return the 6x2 upper right block of this JSIM
+ */
+ const BlockF_t getF() const;
+ /**
+ * The submatrix of this JSIM related only to the actual joints of the
+ * robot (as for a fixed-base robot).
+ * This matrix is the H sub-block of the JSIM in Featherstone's notation.
+ * \return the 2x2 lower right block of this JSIM,
+ * which correspond to the fixed-base JSIM
+ */
+ const BlockFixedBase_t getFixedBaseBlock() const;
+ protected:
+ /**
+ * Computes and saves the inverse of the matrix L. See also computeL()
+ */
+ void computeLInverse();
+ private:
+ IProperties& linkInertias;
+ FTransforms* frcTransf;
+
+ // The composite-inertia tensor for each link
+ InertiaMatrix body_Ic;
+ InertiaMatrix link1_Ic;
+ const InertiaMatrix& link2_Ic;
+ InertiaMatrix Ic_spare;
+
+ MatrixType L;
+ MatrixType Linv;
+ MatrixType inverse;
+};
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getL() const {
+ return L;
+}
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::MatrixType& JSIM<TRAIT>::getInverse() const {
+ return inverse;
+}
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::InertiaMatrix& JSIM<TRAIT>::getWholeBodyInertia() const {
+ return body_Ic;
+}
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::BlockF_t JSIM<TRAIT>::getF() const {
+ return JSIM<TRAIT>:: template block<6,2>(0,6);
+}
+
+template <class TRAIT>
+inline const typename JSIM<TRAIT>::BlockFixedBase_t JSIM<TRAIT>::getFixedBaseBlock() const{
+ return JSIM<TRAIT>:: template block<2,2>(6,6);
+}
+
+} // namespace tpl
+
+typedef tpl::JSIM<rbd::DoubleTrait> JSIM;
+
+}
+}
+}
+
+#include "jsim.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.impl.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.impl.h
new file mode 100644
index 0000000..66ee1a0
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/jsim.impl.h
@@ -0,0 +1,92 @@
+
+ //Implementation of default constructor
+ template<typename TRAIT>
+ iit::ct_quadrotor::dyn::tpl::JSIM<TRAIT>::JSIM(IProperties& inertiaProperties, FTransforms& forceTransforms) :
+ linkInertias(inertiaProperties),
+ frcTransf( &forceTransforms ),
+ link2_Ic(linkInertias.getTensor_link2())
+ {
+ //Initialize the matrix itself
+ this->setZero();
+ }
+
+ #define DATA tpl::JSIM<TRAIT>::operator()
+ #define Fcol(j) (tpl::JSIM<TRAIT>:: template block<6,1>(0,(j)+6))
+ #define F(i,j) DATA((i),(j)+6)
+
+ template <typename TRAIT>
+ const typename iit::ct_quadrotor::dyn::tpl::JSIM<TRAIT>& iit::ct_quadrotor::dyn::tpl::JSIM<TRAIT>::update(const JointState& state) {
+
+ // Precomputes only once the coordinate transforms:
+ frcTransf -> fr_link1_X_fr_link2(state);
+ frcTransf -> fr_body_X_fr_link1(state);
+
+ // Initializes the composite inertia tensors
+ body_Ic = linkInertias.getTensor_body();
+ link1_Ic = linkInertias.getTensor_link1();
+
+ // "Bottom-up" loop to update the inertia-composite property of each link, for the current configuration
+
+ // Link link2:
+ iit::rbd::transformInertia(link2_Ic, frcTransf -> fr_link1_X_fr_link2, Ic_spare);
+ link1_Ic += Ic_spare;
+
+ Fcol(JB) = link2_Ic.col(iit::rbd::AZ);
+ DATA(JB+6, JB+6) = Fcol(JB)(iit::rbd::AZ);
+
+ Fcol(JB) = frcTransf -> fr_link1_X_fr_link2 * Fcol(JB);
+ DATA(JB+6, JA+6) = F(iit::rbd::AZ,JB);
+ DATA(JA+6, JB+6) = DATA(JB+6, JA+6);
+ Fcol(JB) = frcTransf -> fr_body_X_fr_link1 * Fcol(JB);
+
+ // Link link1:
+ iit::rbd::transformInertia(link1_Ic, frcTransf -> fr_body_X_fr_link1, Ic_spare);
+ body_Ic += Ic_spare;
+
+ Fcol(JA) = link1_Ic.col(iit::rbd::AZ);
+ DATA(JA+6, JA+6) = Fcol(JA)(iit::rbd::AZ);
+
+ Fcol(JA) = frcTransf -> fr_body_X_fr_link1 * Fcol(JA);
+
+ // Copies the upper-right block into the lower-left block, after transposing
+ JSIM<TRAIT>:: template block<2, 6>(6,0) = (JSIM<TRAIT>:: template block<6, 2>(0,6)).transpose();
+ // The composite-inertia of the whole robot is the upper-left quadrant of the JSIM
+ JSIM<TRAIT>:: template block<6,6>(0,0) = body_Ic;
+ return *this;
+ }
+
+ #undef DATA
+ #undef F
+
+ template <typename TRAIT>
+ void iit::ct_quadrotor::dyn::tpl::JSIM<TRAIT>::computeL() {
+ L = this -> template triangularView<Eigen::Lower>();
+ // Joint jB, index 1 :
+ L(1, 1) = std::sqrt(L(1, 1));
+ L(1, 0) = L(1, 0) / L(1, 1);
+ L(0, 0) = L(0, 0) - L(1, 0) * L(1, 0);
+
+ // Joint jA, index 0 :
+ L(0, 0) = std::sqrt(L(0, 0));
+
+ }
+
+ template <typename TRAIT>
+ void iit::ct_quadrotor::dyn::tpl::JSIM<TRAIT>::computeInverse() {
+ computeLInverse();
+
+ inverse(0, 0) = + (Linv(0, 0) * Linv(0, 0));
+ inverse(1, 1) = + (Linv(1, 0) * Linv(1, 0)) + (Linv(1, 1) * Linv(1, 1));
+ inverse(1, 0) = + (Linv(1, 0) * Linv(0, 0));
+ inverse(0, 1) = inverse(1, 0);
+ }
+
+ template <typename TRAIT>
+ void iit::ct_quadrotor::dyn::tpl::JSIM<TRAIT>::computeLInverse() {
+ //assumes L has been computed already
+ Linv(0, 0) = 1 / L(0, 0);
+ Linv(1, 1) = 1 / L(1, 1);
+ Linv(1, 0) = - Linv(0, 0) * ((Linv(1, 1) * L(1, 0)) + 0);
+ }
+
+
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/kinematics_parameters.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/kinematics_parameters.h
new file mode 100644
index 0000000..46f16f9
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/kinematics_parameters.h
@@ -0,0 +1,11 @@
+#ifndef _CT_QUADROTOR_PARAMETERS_GETTERS_
+#define _CT_QUADROTOR_PARAMETERS_GETTERS_
+
+namespace iit {
+namespace ct_quadrotor {
+
+
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/link_data_map.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/link_data_map.h
new file mode 100644
index 0000000..311082e
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/link_data_map.h
@@ -0,0 +1,96 @@
+#ifndef IIT_CT_QUADROTOR_LINK_DATA_MAP_H_
+#define IIT_CT_QUADROTOR_LINK_DATA_MAP_H_
+
+#include "declarations.h"
+
+namespace iit {
+namespace ct_quadrotor {
+
+/**
+ * A very simple container to associate a generic data item to each link
+ */
+template<typename T> class LinkDataMap {
+private:
+ T data[linksCount];
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ LinkDataMap() {};
+ LinkDataMap(const T& defaultValue);
+ LinkDataMap(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const LinkDataMap& rhs);
+ LinkDataMap& operator=(const T& rhs);
+ T& operator[](LinkIdentifiers which);
+ const T& operator[](LinkIdentifiers which) const;
+private:
+ void copydata(const LinkDataMap& rhs);
+ void assigndata(const T& commonValue);
+};
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const T& value) {
+ assigndata(value);
+}
+
+template<typename T> inline
+LinkDataMap<T>::LinkDataMap(const LinkDataMap& rhs)
+{
+ copydata(rhs);
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const LinkDataMap& rhs)
+{
+ if(&rhs != this) {
+ copydata(rhs);
+ }
+ return *this;
+}
+
+template<typename T> inline
+LinkDataMap<T>& LinkDataMap<T>::operator=(const T& value)
+{
+ assigndata(value);
+ return *this;
+}
+
+template<typename T> inline
+T& LinkDataMap<T>::operator[](LinkIdentifiers l) {
+ return data[l];
+}
+
+template<typename T> inline
+const T& LinkDataMap<T>::operator[](LinkIdentifiers l) const {
+ return data[l];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::copydata(const LinkDataMap& rhs) {
+ data[BODY] = rhs[BODY];
+ data[LINK1] = rhs[LINK1];
+ data[LINK2] = rhs[LINK2];
+}
+
+template<typename T> inline
+void LinkDataMap<T>::assigndata(const T& value) {
+ data[BODY] = value;
+ data[LINK1] = value;
+ data[LINK2] = value;
+}
+
+template<typename T> inline
+std::ostream& operator<<(std::ostream& out, const LinkDataMap<T>& map) {
+ out
+ << " body = "
+ << map[BODY]
+ << " link1 = "
+ << map[LINK1]
+ << " link2 = "
+ << map[LINK2]
+ ;
+ return out;
+}
+
+}
+}
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/miscellaneous.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/miscellaneous.cpp
new file mode 100644
index 0000000..9fe95e0
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/miscellaneous.cpp
@@ -0,0 +1,39 @@
+#include <iit/rbd/utils.h>
+#include "miscellaneous.h"
+
+using namespace iit::ct_quadrotor;
+using namespace iit::ct_quadrotor::dyn;
+
+iit::rbd::Vector3d iit::ct_quadrotor::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const HomogeneousTransforms& ht)
+{
+ iit::rbd::Vector3d tmpSum(iit::rbd::Vector3d::Zero());
+
+ tmpSum += inertiaProps.getCOM_body() * inertiaProps.getMass_body();
+
+ HomogeneousTransforms::MatrixType tmpX(HomogeneousTransforms::MatrixType::Identity());
+ tmpX = tmpX * ht.fr_body_X_fr_link1;
+ tmpSum += inertiaProps.getMass_link1() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_link1()));
+
+ tmpX = tmpX * ht.fr_link1_X_fr_link2;
+ tmpSum += inertiaProps.getMass_link2() *
+ ( iit::rbd::Utils::transform(tmpX, inertiaProps.getCOM_link2()));
+
+
+ return tmpSum / inertiaProps.getTotalMass();
+}
+
+iit::rbd::Vector3d iit::ct_quadrotor::getWholeBodyCOM(
+ const InertiaProperties& inertiaProps,
+ const JointState& q,
+ HomogeneousTransforms& ht)
+{
+ // First updates the coordinate transforms that will be used by the routine
+ ht.fr_body_X_fr_link1(q);
+ ht.fr_link1_X_fr_link2(q);
+
+ // The actual calculus
+ return getWholeBodyCOM(inertiaProps, ht);
+}
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/miscellaneous.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/miscellaneous.h
new file mode 100644
index 0000000..3bf08ba
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/miscellaneous.h
@@ -0,0 +1,45 @@
+#ifndef IIT_ROBCOGEN__CT_QUADROTOR_MISCELLANEOUS_H_
+#define IIT_ROBCOGEN__CT_QUADROTOR_MISCELLANEOUS_H_
+
+#include "inertia_properties.h"
+#include "transforms.h"
+
+namespace iit {
+namespace ct_quadrotor {
+
+/** \name Center of mass calculation
+ * Computes the Center Of Mass (COM) position of the whole robot, in
+ * base coordinates.
+ *
+ * Common parameters are the inertia properties of the robot and the set
+ * of homogeneous coordinate transforms. If a joint status variable is
+ * also passed, then the transforms are updated accordingly; otherwise,
+ * they are not modified before being used.
+ */
+///@{
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const HomogeneousTransforms& transforms);
+/**
+ * \param inertia the inertia properties of the links of the robot
+ * \param q the joint status vector describing the configuration of the robot
+ * \param transforms the homogeneous coordinate transforms of the robot
+ * \return the position of the Center Of Mass of the whole robot, expressed
+ * in base coordinates
+ */
+iit::rbd::Vector3d getWholeBodyCOM(
+ const dyn::InertiaProperties& inertia,
+ const JointState& q,
+ HomogeneousTransforms& transforms);
+///@}
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/traits.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/traits.h
new file mode 100644
index 0000000..9e1f182
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/traits.h
@@ -0,0 +1,65 @@
+#ifndef IIT_ROBOGEN__CT_QUADROTOR_TRAITS_H_
+#define IIT_ROBOGEN__CT_QUADROTOR_TRAITS_H_
+
+#include "declarations.h"
+#include "transforms.h"
+#include "inverse_dynamics.h"
+#include "forward_dynamics.h"
+#include "jsim.h"
+#include "inertia_properties.h"
+#include <iit/rbd/traits/TraitSelector.h>
+
+
+namespace iit {
+namespace ct_quadrotor {
+
+namespace tpl{
+
+template <typename SCALAR>
+struct Traits {
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+
+ typedef SCALAR S;
+
+ typedef typename iit::rbd::tpl::TraitSelector<SCALAR>::Trait Trait;
+
+ typedef typename ct_quadrotor::tpl::JointState<SCALAR> JointState;
+
+ typedef typename ct_quadrotor::JointIdentifiers JointID;
+ typedef typename ct_quadrotor::LinkIdentifiers LinkID;
+
+ typedef typename ct_quadrotor::tpl::HomogeneousTransforms<Trait> HomogeneousTransforms;
+ typedef typename ct_quadrotor::tpl::MotionTransforms<Trait> MotionTransforms;
+ typedef typename ct_quadrotor::tpl::ForceTransforms<Trait> ForceTransforms;
+ typedef typename ct_quadrotor::tpl::Jacobians<Trait> Jacobians;
+
+ typedef typename ct_quadrotor::dyn::tpl::InertiaProperties<Trait> InertiaProperties;
+ typedef typename ct_quadrotor::dyn::tpl::ForwardDynamics<Trait> FwdDynEngine;
+ typedef typename ct_quadrotor::dyn::tpl::InverseDynamics<Trait> InvDynEngine;
+ typedef typename ct_quadrotor::dyn::tpl::JSIM<Trait> JSIM;
+
+ static const int joints_count = ct_quadrotor::jointsCount;
+ static const int links_count = ct_quadrotor::linksCount;
+ static const bool floating_base = true;
+
+ static inline const JointID* orderedJointIDs();
+ static inline const LinkID* orderedLinkIDs();
+};
+
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::JointID* Traits<SCALAR>::orderedJointIDs() {
+ return ct_quadrotor::orderedJointIDs;
+}
+template <typename SCALAR>
+inline const typename Traits<SCALAR>::LinkID* Traits<SCALAR>::orderedLinkIDs() {
+ return ct_quadrotor::orderedLinkIDs;
+}
+
+} // namespace tpl
+
+typedef tpl::Traits<double> Traits;
+
+}
+}
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.cpp b/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.cpp
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.cpp
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.h
new file mode 100644
index 0000000..2790935
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.h
@@ -0,0 +1,531 @@
+#ifndef CT_QUADROTOR_TRANSFORMS_H_
+#define CT_QUADROTOR_TRANSFORMS_H_
+
+#include <Eigen/Dense>
+#include <iit/rbd/TransformsBase.h>
+#include "declarations.h"
+#include <iit/rbd/traits/DoubleTrait.h>
+#include "kinematics_parameters.h"
+
+namespace iit {
+namespace ct_quadrotor {
+
+template<typename SCALAR, class M>
+class TransformMotion : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformForce : public iit::rbd::SpatialTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+template<typename SCALAR, class M>
+class TransformHomogeneous : public iit::rbd::HomogeneousTransformBase<tpl::JointState<SCALAR>, M> {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+};
+
+namespace tpl {
+
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial motion vectors.
+ */
+template <typename TRAIT>
+class MotionTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+ class Dummy {};
+ typedef typename TransformMotion<SCALAR, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_body_X_fr_link1 : public TransformMotion<SCALAR, Type_fr_body_X_fr_link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_link1();
+ const Type_fr_body_X_fr_link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_link2 : public TransformMotion<SCALAR, Type_fr_body_X_fr_link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_link2();
+ const Type_fr_body_X_fr_link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_ee : public TransformMotion<SCALAR, Type_fr_body_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_ee();
+ const Type_fr_body_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_com0 : public TransformMotion<SCALAR, Type_fr_body_X_fr_com0>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_com0();
+ const Type_fr_body_X_fr_com0& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_com1 : public TransformMotion<SCALAR, Type_fr_body_X_fr_com1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_com1();
+ const Type_fr_body_X_fr_com1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link1_X_fr_body : public TransformMotion<SCALAR, Type_fr_link1_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link1_X_fr_body();
+ const Type_fr_link1_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link2_X_fr_body : public TransformMotion<SCALAR, Type_fr_link2_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link2_X_fr_body();
+ const Type_fr_link2_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_body : public TransformMotion<SCALAR, Type_fr_ee_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_body();
+ const Type_fr_ee_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_com0_X_fr_body : public TransformMotion<SCALAR, Type_fr_com0_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_com0_X_fr_body();
+ const Type_fr_com0_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_com1_X_fr_body : public TransformMotion<SCALAR, Type_fr_com1_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_com1_X_fr_body();
+ const Type_fr_com1_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_jA : public TransformMotion<SCALAR, Type_fr_body_X_fr_jA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_jA();
+ const Type_fr_body_X_fr_jA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_jB : public TransformMotion<SCALAR, Type_fr_body_X_fr_jB>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_jB();
+ const Type_fr_body_X_fr_jB& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link2_X_fr_link1 : public TransformMotion<SCALAR, Type_fr_link2_X_fr_link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link2_X_fr_link1();
+ const Type_fr_link2_X_fr_link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link1_X_fr_link2 : public TransformMotion<SCALAR, Type_fr_link1_X_fr_link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link1_X_fr_link2();
+ const Type_fr_link1_X_fr_link2& update(const JState&);
+ protected:
+ };
+
+public:
+ MotionTransforms();
+ void updateParameters();
+ Type_fr_body_X_fr_link1 fr_body_X_fr_link1;
+ Type_fr_body_X_fr_link2 fr_body_X_fr_link2;
+ Type_fr_body_X_fr_ee fr_body_X_fr_ee;
+ Type_fr_body_X_fr_com0 fr_body_X_fr_com0;
+ Type_fr_body_X_fr_com1 fr_body_X_fr_com1;
+ Type_fr_link1_X_fr_body fr_link1_X_fr_body;
+ Type_fr_link2_X_fr_body fr_link2_X_fr_body;
+ Type_fr_ee_X_fr_body fr_ee_X_fr_body;
+ Type_fr_com0_X_fr_body fr_com0_X_fr_body;
+ Type_fr_com1_X_fr_body fr_com1_X_fr_body;
+ Type_fr_body_X_fr_jA fr_body_X_fr_jA;
+ Type_fr_body_X_fr_jB fr_body_X_fr_jB;
+ Type_fr_link2_X_fr_link1 fr_link2_X_fr_link1;
+ Type_fr_link1_X_fr_link2 fr_link1_X_fr_link2;
+
+protected:
+
+}; //class 'MotionTransforms'
+
+/**
+ * The class for the 6-by-6 coordinates transformation matrices for
+ * spatial force vectors.
+ */
+template <typename TRAIT>
+class ForceTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+ class Dummy {};
+ typedef typename TransformForce<SCALAR, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_body_X_fr_link1 : public TransformForce<SCALAR, Type_fr_body_X_fr_link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_link1();
+ const Type_fr_body_X_fr_link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_link2 : public TransformForce<SCALAR, Type_fr_body_X_fr_link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_link2();
+ const Type_fr_body_X_fr_link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_ee : public TransformForce<SCALAR, Type_fr_body_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_ee();
+ const Type_fr_body_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_com0 : public TransformForce<SCALAR, Type_fr_body_X_fr_com0>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_com0();
+ const Type_fr_body_X_fr_com0& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_com1 : public TransformForce<SCALAR, Type_fr_body_X_fr_com1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_com1();
+ const Type_fr_body_X_fr_com1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link1_X_fr_body : public TransformForce<SCALAR, Type_fr_link1_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link1_X_fr_body();
+ const Type_fr_link1_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link2_X_fr_body : public TransformForce<SCALAR, Type_fr_link2_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link2_X_fr_body();
+ const Type_fr_link2_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_body : public TransformForce<SCALAR, Type_fr_ee_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_body();
+ const Type_fr_ee_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_com0_X_fr_body : public TransformForce<SCALAR, Type_fr_com0_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_com0_X_fr_body();
+ const Type_fr_com0_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_com1_X_fr_body : public TransformForce<SCALAR, Type_fr_com1_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_com1_X_fr_body();
+ const Type_fr_com1_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_jA : public TransformForce<SCALAR, Type_fr_body_X_fr_jA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_jA();
+ const Type_fr_body_X_fr_jA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_jB : public TransformForce<SCALAR, Type_fr_body_X_fr_jB>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_jB();
+ const Type_fr_body_X_fr_jB& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link2_X_fr_link1 : public TransformForce<SCALAR, Type_fr_link2_X_fr_link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link2_X_fr_link1();
+ const Type_fr_link2_X_fr_link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link1_X_fr_link2 : public TransformForce<SCALAR, Type_fr_link1_X_fr_link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link1_X_fr_link2();
+ const Type_fr_link1_X_fr_link2& update(const JState&);
+ protected:
+ };
+
+public:
+ ForceTransforms();
+ void updateParameters();
+ Type_fr_body_X_fr_link1 fr_body_X_fr_link1;
+ Type_fr_body_X_fr_link2 fr_body_X_fr_link2;
+ Type_fr_body_X_fr_ee fr_body_X_fr_ee;
+ Type_fr_body_X_fr_com0 fr_body_X_fr_com0;
+ Type_fr_body_X_fr_com1 fr_body_X_fr_com1;
+ Type_fr_link1_X_fr_body fr_link1_X_fr_body;
+ Type_fr_link2_X_fr_body fr_link2_X_fr_body;
+ Type_fr_ee_X_fr_body fr_ee_X_fr_body;
+ Type_fr_com0_X_fr_body fr_com0_X_fr_body;
+ Type_fr_com1_X_fr_body fr_com1_X_fr_body;
+ Type_fr_body_X_fr_jA fr_body_X_fr_jA;
+ Type_fr_body_X_fr_jB fr_body_X_fr_jB;
+ Type_fr_link2_X_fr_link1 fr_link2_X_fr_link1;
+ Type_fr_link1_X_fr_link2 fr_link1_X_fr_link2;
+
+protected:
+
+}; //class 'ForceTransforms'
+
+/**
+ * The class with the homogeneous (4x4) coordinates transformation
+ * matrices.
+ */
+template <typename TRAIT>
+class HomogeneousTransforms {
+public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ typedef typename TRAIT::Scalar SCALAR;
+
+ typedef JointState<SCALAR> JState;
+ class Dummy {};
+ typedef typename TransformHomogeneous<SCALAR, Dummy>::MatrixType MatrixType;
+public:
+ class Type_fr_body_X_fr_link1 : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_link1();
+ const Type_fr_body_X_fr_link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_link2 : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_link2();
+ const Type_fr_body_X_fr_link2& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_ee : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_ee>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_ee();
+ const Type_fr_body_X_fr_ee& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_com0 : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_com0>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_com0();
+ const Type_fr_body_X_fr_com0& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_com1 : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_com1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_com1();
+ const Type_fr_body_X_fr_com1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link1_X_fr_body : public TransformHomogeneous<SCALAR, Type_fr_link1_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link1_X_fr_body();
+ const Type_fr_link1_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link2_X_fr_body : public TransformHomogeneous<SCALAR, Type_fr_link2_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link2_X_fr_body();
+ const Type_fr_link2_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_ee_X_fr_body : public TransformHomogeneous<SCALAR, Type_fr_ee_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_ee_X_fr_body();
+ const Type_fr_ee_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_com0_X_fr_body : public TransformHomogeneous<SCALAR, Type_fr_com0_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_com0_X_fr_body();
+ const Type_fr_com0_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_com1_X_fr_body : public TransformHomogeneous<SCALAR, Type_fr_com1_X_fr_body>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_com1_X_fr_body();
+ const Type_fr_com1_X_fr_body& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_jA : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_jA>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_jA();
+ const Type_fr_body_X_fr_jA& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_body_X_fr_jB : public TransformHomogeneous<SCALAR, Type_fr_body_X_fr_jB>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_body_X_fr_jB();
+ const Type_fr_body_X_fr_jB& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link2_X_fr_link1 : public TransformHomogeneous<SCALAR, Type_fr_link2_X_fr_link1>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link2_X_fr_link1();
+ const Type_fr_link2_X_fr_link1& update(const JState&);
+ protected:
+ };
+
+ class Type_fr_link1_X_fr_link2 : public TransformHomogeneous<SCALAR, Type_fr_link1_X_fr_link2>
+ {
+ public:
+ EIGEN_MAKE_ALIGNED_OPERATOR_NEW
+ Type_fr_link1_X_fr_link2();
+ const Type_fr_link1_X_fr_link2& update(const JState&);
+ protected:
+ };
+
+public:
+ HomogeneousTransforms();
+ void updateParameters();
+ Type_fr_body_X_fr_link1 fr_body_X_fr_link1;
+ Type_fr_body_X_fr_link2 fr_body_X_fr_link2;
+ Type_fr_body_X_fr_ee fr_body_X_fr_ee;
+ Type_fr_body_X_fr_com0 fr_body_X_fr_com0;
+ Type_fr_body_X_fr_com1 fr_body_X_fr_com1;
+ Type_fr_link1_X_fr_body fr_link1_X_fr_body;
+ Type_fr_link2_X_fr_body fr_link2_X_fr_body;
+ Type_fr_ee_X_fr_body fr_ee_X_fr_body;
+ Type_fr_com0_X_fr_body fr_com0_X_fr_body;
+ Type_fr_com1_X_fr_body fr_com1_X_fr_body;
+ Type_fr_body_X_fr_jA fr_body_X_fr_jA;
+ Type_fr_body_X_fr_jB fr_body_X_fr_jB;
+ Type_fr_link2_X_fr_link1 fr_link2_X_fr_link1;
+ Type_fr_link1_X_fr_link2 fr_link1_X_fr_link2;
+
+protected:
+
+}; //class 'HomogeneousTransforms'
+
+} // namespace tpl
+
+using MotionTransforms = tpl::MotionTransforms<rbd::DoubleTrait>;
+using ForceTransforms = tpl::ForceTransforms<rbd::DoubleTrait>;
+using HomogeneousTransforms = tpl::HomogeneousTransforms<rbd::DoubleTrait>;
+
+}
+}
+
+#include "transforms.impl.h"
+
+#endif
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.impl.h b/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.impl.h
new file mode 100644
index 0000000..76d9643
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/generated/transforms.impl.h
@@ -0,0 +1,1894 @@
+
+// Constructors
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::MotionTransforms
+ ()
+ :
+ fr_body_X_fr_link1(),
+ fr_body_X_fr_link2(),
+ fr_body_X_fr_ee(),
+ fr_body_X_fr_com0(),
+ fr_body_X_fr_com1(),
+ fr_link1_X_fr_body(),
+ fr_link2_X_fr_body(),
+ fr_ee_X_fr_body(),
+ fr_com0_X_fr_body(),
+ fr_com1_X_fr_body(),
+ fr_body_X_fr_jA(),
+ fr_body_X_fr_jB(),
+ fr_link2_X_fr_link1(),
+ fr_link1_X_fr_link2()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::ForceTransforms
+ ()
+ :
+ fr_body_X_fr_link1(),
+ fr_body_X_fr_link2(),
+ fr_body_X_fr_ee(),
+ fr_body_X_fr_com0(),
+ fr_body_X_fr_com1(),
+ fr_link1_X_fr_body(),
+ fr_link2_X_fr_body(),
+ fr_ee_X_fr_body(),
+ fr_com0_X_fr_body(),
+ fr_com1_X_fr_body(),
+ fr_body_X_fr_jA(),
+ fr_body_X_fr_jB(),
+ fr_link2_X_fr_link1(),
+ fr_link1_X_fr_link2()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::HomogeneousTransforms
+ ()
+ :
+ fr_body_X_fr_link1(),
+ fr_body_X_fr_link2(),
+ fr_body_X_fr_ee(),
+ fr_body_X_fr_com0(),
+ fr_body_X_fr_com1(),
+ fr_link1_X_fr_body(),
+ fr_link2_X_fr_body(),
+ fr_ee_X_fr_body(),
+ fr_com0_X_fr_body(),
+ fr_com1_X_fr_body(),
+ fr_body_X_fr_jA(),
+ fr_body_X_fr_jB(),
+ fr_link2_X_fr_link1(),
+ fr_link1_X_fr_link2()
+{
+ updateParameters();
+}
+template <typename TRAIT>
+void iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::updateParameters() {
+}
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_link1::Type_fr_body_X_fr_link1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_link1& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_link1::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = - sin__q_jA__;
+ (*this)(1,0) = sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = - sin__q_jA__;
+ (*this)(4,3) = sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_link2::Type_fr_body_X_fr_link2()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_link2& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_link2::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(1,0) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(3,0) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(3,1) = (( 0.1 * sin__q_jA__) * cos__q_jB__);
+ (*this)(3,2) = (- 0.1 * cos__q_jA__);
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(3,5) = sin__q_jA__;
+ (*this)(4,0) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(4,1) = ((- 0.1 * cos__q_jA__) * cos__q_jB__);
+ (*this)(4,2) = (- 0.1 * sin__q_jA__);
+ (*this)(4,3) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = - cos__q_jA__;
+ (*this)(5,3) = - cos__q_jB__;
+ (*this)(5,4) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_ee::Type_fr_body_X_fr_ee()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_ee& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(1,0) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(3,0) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(3,1) = ((( 0.1 * sin__q_jA__) * cos__q_jB__) + ( 0.7 * sin__q_jA__));
+ (*this)(3,2) = (((- 0.7 * cos__q_jA__) * cos__q_jB__) - ( 0.1 * cos__q_jA__));
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(3,5) = sin__q_jA__;
+ (*this)(4,0) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(4,1) = (((- 0.1 * cos__q_jA__) * cos__q_jB__) - ( 0.7 * cos__q_jA__));
+ (*this)(4,2) = (((- 0.7 * sin__q_jA__) * cos__q_jB__) - ( 0.1 * sin__q_jA__));
+ (*this)(4,3) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = - cos__q_jA__;
+ (*this)(5,2) = (- 0.7 * sin__q_jB__);
+ (*this)(5,3) = - cos__q_jB__;
+ (*this)(5,4) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_com0::Type_fr_body_X_fr_com0()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_com0& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_com0::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_com1::Type_fr_body_X_fr_com1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_com1& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_com1::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = - sin__q_jA__;
+ (*this)(1,0) = sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(3,0) = ( 0.05 * sin__q_jA__);
+ (*this)(3,1) = ( 0.05 * cos__q_jA__);
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = - sin__q_jA__;
+ (*this)(4,0) = (- 0.05 * cos__q_jA__);
+ (*this)(4,1) = ( 0.05 * sin__q_jA__);
+ (*this)(4,3) = sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link1_X_fr_body::Type_fr_link1_X_fr_body()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link1_X_fr_body& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link1_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(1,0) = - sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = sin__q_jA__;
+ (*this)(4,3) = - sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link2_X_fr_body::Type_fr_link2_X_fr_body()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link2_X_fr_body& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link2_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(1,0) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(2,0) = sin__q_jA__;
+ (*this)(2,1) = - cos__q_jA__;
+ (*this)(3,0) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(3,1) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(3,5) = - cos__q_jB__;
+ (*this)(4,0) = (( 0.1 * sin__q_jA__) * cos__q_jB__);
+ (*this)(4,1) = ((- 0.1 * cos__q_jA__) * cos__q_jB__);
+ (*this)(4,3) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = sin__q_jB__;
+ (*this)(5,0) = (- 0.1 * cos__q_jA__);
+ (*this)(5,1) = (- 0.1 * sin__q_jA__);
+ (*this)(5,3) = sin__q_jA__;
+ (*this)(5,4) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_body::Type_fr_ee_X_fr_body()
+{
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_body& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_ee_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(1,0) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(2,0) = sin__q_jA__;
+ (*this)(2,1) = - cos__q_jA__;
+ (*this)(3,0) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(3,1) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(3,5) = - cos__q_jB__;
+ (*this)(4,0) = ((( 0.1 * sin__q_jA__) * cos__q_jB__) + ( 0.7 * sin__q_jA__));
+ (*this)(4,1) = (((- 0.1 * cos__q_jA__) * cos__q_jB__) - ( 0.7 * cos__q_jA__));
+ (*this)(4,3) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = sin__q_jB__;
+ (*this)(5,0) = (((- 0.7 * cos__q_jA__) * cos__q_jB__) - ( 0.1 * cos__q_jA__));
+ (*this)(5,1) = (((- 0.7 * sin__q_jA__) * cos__q_jB__) - ( 0.1 * sin__q_jA__));
+ (*this)(5,2) = (- 0.7 * sin__q_jB__);
+ (*this)(5,3) = sin__q_jA__;
+ (*this)(5,4) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_com0_X_fr_body::Type_fr_com0_X_fr_body()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_com0_X_fr_body& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_com0_X_fr_body::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_com1_X_fr_body::Type_fr_com1_X_fr_body()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_com1_X_fr_body& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_com1_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(1,0) = - sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(3,0) = ( 0.05 * sin__q_jA__);
+ (*this)(3,1) = (- 0.05 * cos__q_jA__);
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = sin__q_jA__;
+ (*this)(4,0) = ( 0.05 * cos__q_jA__);
+ (*this)(4,1) = ( 0.05 * sin__q_jA__);
+ (*this)(4,3) = - sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_jA::Type_fr_body_X_fr_jA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_jA& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_jA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_jB::Type_fr_body_X_fr_jB()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_jB& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_body_X_fr_jB::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,1) = cos__q_jA__;
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(1,1) = sin__q_jA__;
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(3,1) = ( 0.1 * sin__q_jA__);
+ (*this)(3,2) = (- 0.1 * cos__q_jA__);
+ (*this)(3,4) = cos__q_jA__;
+ (*this)(3,5) = sin__q_jA__;
+ (*this)(4,1) = (- 0.1 * cos__q_jA__);
+ (*this)(4,2) = (- 0.1 * sin__q_jA__);
+ (*this)(4,4) = sin__q_jA__;
+ (*this)(4,5) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link2_X_fr_link1::Type_fr_link2_X_fr_link1()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1.0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = - 0.1;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link2_X_fr_link1& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link2_X_fr_link1::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = sin__q_jB__;
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(1,0) = cos__q_jB__;
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(3,1) = (- 0.1 * sin__q_jB__);
+ (*this)(3,3) = sin__q_jB__;
+ (*this)(3,5) = - cos__q_jB__;
+ (*this)(4,1) = (- 0.1 * cos__q_jB__);
+ (*this)(4,3) = cos__q_jB__;
+ (*this)(4,5) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link1_X_fr_link2::Type_fr_link1_X_fr_link2()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = - 0.1;
+ (*this)(3,5) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1.0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link1_X_fr_link2& iit::ct_quadrotor::tpl::MotionTransforms<TRAIT>::Type_fr_link1_X_fr_link2::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = sin__q_jB__;
+ (*this)(0,1) = cos__q_jB__;
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(3,3) = sin__q_jB__;
+ (*this)(3,4) = cos__q_jB__;
+ (*this)(4,0) = (- 0.1 * sin__q_jB__);
+ (*this)(4,1) = (- 0.1 * cos__q_jB__);
+ (*this)(5,3) = - cos__q_jB__;
+ (*this)(5,4) = sin__q_jB__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_link1::Type_fr_body_X_fr_link1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_link1& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_link1::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = - sin__q_jA__;
+ (*this)(1,0) = sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = - sin__q_jA__;
+ (*this)(4,3) = sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_link2::Type_fr_body_X_fr_link2()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_link2& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_link2::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(0,3) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(0,4) = (( 0.1 * sin__q_jA__) * cos__q_jB__);
+ (*this)(0,5) = (- 0.1 * cos__q_jA__);
+ (*this)(1,0) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(1,3) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(1,4) = ((- 0.1 * cos__q_jA__) * cos__q_jB__);
+ (*this)(1,5) = (- 0.1 * sin__q_jA__);
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(3,5) = sin__q_jA__;
+ (*this)(4,3) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = - cos__q_jA__;
+ (*this)(5,3) = - cos__q_jB__;
+ (*this)(5,4) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_ee::Type_fr_body_X_fr_ee()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_ee& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(0,3) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(0,4) = ((( 0.1 * sin__q_jA__) * cos__q_jB__) + ( 0.7 * sin__q_jA__));
+ (*this)(0,5) = (((- 0.7 * cos__q_jA__) * cos__q_jB__) - ( 0.1 * cos__q_jA__));
+ (*this)(1,0) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(1,3) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(1,4) = (((- 0.1 * cos__q_jA__) * cos__q_jB__) - ( 0.7 * cos__q_jA__));
+ (*this)(1,5) = (((- 0.7 * sin__q_jA__) * cos__q_jB__) - ( 0.1 * sin__q_jA__));
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(2,5) = (- 0.7 * sin__q_jB__);
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(3,5) = sin__q_jA__;
+ (*this)(4,3) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = - cos__q_jA__;
+ (*this)(5,3) = - cos__q_jB__;
+ (*this)(5,4) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_com0::Type_fr_body_X_fr_com0()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_com0& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_com0::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_com1::Type_fr_body_X_fr_com1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_com1& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_com1::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = - sin__q_jA__;
+ (*this)(0,3) = ( 0.05 * sin__q_jA__);
+ (*this)(0,4) = ( 0.05 * cos__q_jA__);
+ (*this)(1,0) = sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(1,3) = (- 0.05 * cos__q_jA__);
+ (*this)(1,4) = ( 0.05 * sin__q_jA__);
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = - sin__q_jA__;
+ (*this)(4,3) = sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link1_X_fr_body::Type_fr_link1_X_fr_body()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link1_X_fr_body& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link1_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(1,0) = - sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = sin__q_jA__;
+ (*this)(4,3) = - sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link2_X_fr_body::Type_fr_link2_X_fr_body()
+{
+ (*this)(0,5) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link2_X_fr_body& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link2_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(0,3) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(0,4) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(1,0) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(1,3) = (( 0.1 * sin__q_jA__) * cos__q_jB__);
+ (*this)(1,4) = ((- 0.1 * cos__q_jA__) * cos__q_jB__);
+ (*this)(2,0) = sin__q_jA__;
+ (*this)(2,1) = - cos__q_jA__;
+ (*this)(2,3) = (- 0.1 * cos__q_jA__);
+ (*this)(2,4) = (- 0.1 * sin__q_jA__);
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(3,5) = - cos__q_jB__;
+ (*this)(4,3) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = sin__q_jB__;
+ (*this)(5,3) = sin__q_jA__;
+ (*this)(5,4) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_body::Type_fr_ee_X_fr_body()
+{
+ (*this)(0,5) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_body& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_ee_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(0,3) = (( 0.1 * sin__q_jA__) * sin__q_jB__);
+ (*this)(0,4) = ((- 0.1 * cos__q_jA__) * sin__q_jB__);
+ (*this)(1,0) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(1,3) = ((( 0.1 * sin__q_jA__) * cos__q_jB__) + ( 0.7 * sin__q_jA__));
+ (*this)(1,4) = (((- 0.1 * cos__q_jA__) * cos__q_jB__) - ( 0.7 * cos__q_jA__));
+ (*this)(2,0) = sin__q_jA__;
+ (*this)(2,1) = - cos__q_jA__;
+ (*this)(2,3) = (((- 0.7 * cos__q_jA__) * cos__q_jB__) - ( 0.1 * cos__q_jA__));
+ (*this)(2,4) = (((- 0.7 * sin__q_jA__) * cos__q_jB__) - ( 0.1 * sin__q_jA__));
+ (*this)(2,5) = (- 0.7 * sin__q_jB__);
+ (*this)(3,3) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(3,4) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(3,5) = - cos__q_jB__;
+ (*this)(4,3) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(4,4) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(4,5) = sin__q_jB__;
+ (*this)(5,3) = sin__q_jA__;
+ (*this)(5,4) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_com0_X_fr_body::Type_fr_com0_X_fr_body()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_com0_X_fr_body& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_com0_X_fr_body::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_com1_X_fr_body::Type_fr_com1_X_fr_body()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_com1_X_fr_body& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_com1_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(0,3) = ( 0.05 * sin__q_jA__);
+ (*this)(0,4) = (- 0.05 * cos__q_jA__);
+ (*this)(1,0) = - sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ (*this)(1,3) = ( 0.05 * cos__q_jA__);
+ (*this)(1,4) = ( 0.05 * sin__q_jA__);
+ (*this)(3,3) = cos__q_jA__;
+ (*this)(3,4) = sin__q_jA__;
+ (*this)(4,3) = - sin__q_jA__;
+ (*this)(4,4) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_jA::Type_fr_body_X_fr_jA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,4) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+ (*this)(3,4) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 1.0;
+ (*this)(4,5) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_jA& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_jA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_jB::Type_fr_body_X_fr_jB()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = - 1.0;
+ (*this)(5,4) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_jB& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_body_X_fr_jB::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,1) = cos__q_jA__;
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(0,4) = ( 0.1 * sin__q_jA__);
+ (*this)(0,5) = (- 0.1 * cos__q_jA__);
+ (*this)(1,1) = sin__q_jA__;
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(1,4) = (- 0.1 * cos__q_jA__);
+ (*this)(1,5) = (- 0.1 * sin__q_jA__);
+ (*this)(3,4) = cos__q_jA__;
+ (*this)(3,5) = sin__q_jA__;
+ (*this)(4,4) = sin__q_jA__;
+ (*this)(4,5) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link2_X_fr_link1::Type_fr_link2_X_fr_link1()
+{
+ (*this)(0,1) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,5) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,3) = 0;
+ (*this)(1,5) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.1;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,4) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,4) = 0;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,3) = 0;
+ (*this)(5,4) = - 1.0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link2_X_fr_link1& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link2_X_fr_link1::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = sin__q_jB__;
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(0,4) = (- 0.1 * sin__q_jB__);
+ (*this)(1,0) = cos__q_jB__;
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(1,4) = (- 0.1 * cos__q_jB__);
+ (*this)(3,3) = sin__q_jB__;
+ (*this)(3,5) = - cos__q_jB__;
+ (*this)(4,3) = cos__q_jB__;
+ (*this)(4,5) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link1_X_fr_link2::Type_fr_link1_X_fr_link2()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(0,4) = 0;
+ (*this)(0,5) = - 0.1;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1.0;
+ (*this)(1,5) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(2,4) = 0;
+ (*this)(2,5) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,5) = 0;
+ (*this)(4,0) = 0;
+ (*this)(4,1) = 0;
+ (*this)(4,2) = 0;
+ (*this)(4,3) = 0;
+ (*this)(4,4) = 0;
+ (*this)(4,5) = - 1;
+ (*this)(5,0) = 0;
+ (*this)(5,1) = 0;
+ (*this)(5,2) = 0;
+ (*this)(5,5) = 0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link1_X_fr_link2& iit::ct_quadrotor::tpl::ForceTransforms<TRAIT>::Type_fr_link1_X_fr_link2::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = sin__q_jB__;
+ (*this)(0,1) = cos__q_jB__;
+ (*this)(1,3) = (- 0.1 * sin__q_jB__);
+ (*this)(1,4) = (- 0.1 * cos__q_jB__);
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(3,3) = sin__q_jB__;
+ (*this)(3,4) = cos__q_jB__;
+ (*this)(5,3) = - cos__q_jB__;
+ (*this)(5,4) = sin__q_jB__;
+ return *this;
+}
+
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_link1::Type_fr_body_X_fr_link1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_link1& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_link1::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = - sin__q_jA__;
+ (*this)(1,0) = sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_link2::Type_fr_body_X_fr_link2()
+{
+ (*this)(0,3) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.1;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_link2& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_link2::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(1,0) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_ee::Type_fr_body_X_fr_ee()
+{
+ (*this)(2,2) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_ee& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_ee::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(0,3) = (( 0.7 * cos__q_jA__) * sin__q_jB__);
+ (*this)(1,0) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = - cos__q_jA__;
+ (*this)(1,3) = (( 0.7 * sin__q_jA__) * sin__q_jB__);
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ (*this)(2,3) = ((- 0.7 * cos__q_jB__) - 0.1);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_com0::Type_fr_body_X_fr_com0()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_com0& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_com0::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_com1::Type_fr_body_X_fr_com1()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = - 0.05;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_com1& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_com1::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = - sin__q_jA__;
+ (*this)(1,0) = sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link1_X_fr_body::Type_fr_link1_X_fr_body()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link1_X_fr_body& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link1_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(1,0) = - sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link2_X_fr_body::Type_fr_link2_X_fr_body()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link2_X_fr_body& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link2_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(0,3) = (- 0.1 * cos__q_jB__);
+ (*this)(1,0) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(1,3) = ( 0.1 * sin__q_jB__);
+ (*this)(2,0) = sin__q_jA__;
+ (*this)(2,1) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_body::Type_fr_ee_X_fr_body()
+{
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_body& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_ee_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = ( cos__q_jA__ * sin__q_jB__);
+ (*this)(0,1) = ( sin__q_jA__ * sin__q_jB__);
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(0,3) = ((- 0.1 * cos__q_jB__) - 0.7);
+ (*this)(1,0) = ( cos__q_jA__ * cos__q_jB__);
+ (*this)(1,1) = ( sin__q_jA__ * cos__q_jB__);
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(1,3) = ( 0.1 * sin__q_jB__);
+ (*this)(2,0) = sin__q_jA__;
+ (*this)(2,1) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_com0_X_fr_body::Type_fr_com0_X_fr_body()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_com0_X_fr_body& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_com0_X_fr_body::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_com1_X_fr_body::Type_fr_com1_X_fr_body()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0.05;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_com1_X_fr_body& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_com1_X_fr_body::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,0) = cos__q_jA__;
+ (*this)(0,1) = sin__q_jA__;
+ (*this)(1,0) = - sin__q_jA__;
+ (*this)(1,1) = cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_jA::Type_fr_body_X_fr_jA()
+{
+ (*this)(0,0) = 1;
+ (*this)(0,1) = 0;
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 1.0;
+ (*this)(1,2) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 1.0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_jA& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_jA::update(const JState& q) {
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_jB::Type_fr_body_X_fr_jB()
+{
+ (*this)(0,0) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,3) = 0;
+ (*this)(2,0) = - 1.0;
+ (*this)(2,1) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.1;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_jB& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_body_X_fr_jB::update(const JState& q) {
+ SCALAR sin__q_jA__;
+ SCALAR cos__q_jA__;
+
+ sin__q_jA__ = TRAIT::sin( q(JA));
+ cos__q_jA__ = TRAIT::cos( q(JA));
+
+ (*this)(0,1) = cos__q_jA__;
+ (*this)(0,2) = sin__q_jA__;
+ (*this)(1,1) = sin__q_jA__;
+ (*this)(1,2) = - cos__q_jA__;
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link2_X_fr_link1::Type_fr_link2_X_fr_link1()
+{
+ (*this)(0,1) = 0;
+ (*this)(1,1) = 0;
+ (*this)(2,0) = 0;
+ (*this)(2,1) = - 1;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = 0;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1.0;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link2_X_fr_link1& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link2_X_fr_link1::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = sin__q_jB__;
+ (*this)(0,2) = - cos__q_jB__;
+ (*this)(0,3) = (- 0.1 * cos__q_jB__);
+ (*this)(1,0) = cos__q_jB__;
+ (*this)(1,2) = sin__q_jB__;
+ (*this)(1,3) = ( 0.1 * sin__q_jB__);
+ return *this;
+}
+template <typename TRAIT>
+iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link1_X_fr_link2::Type_fr_link1_X_fr_link2()
+{
+ (*this)(0,2) = 0;
+ (*this)(0,3) = 0;
+ (*this)(1,0) = 0;
+ (*this)(1,1) = 0;
+ (*this)(1,2) = - 1;
+ (*this)(1,3) = 0;
+ (*this)(2,2) = 0;
+ (*this)(2,3) = - 0.1;
+ (*this)(3,0) = 0;
+ (*this)(3,1) = 0;
+ (*this)(3,2) = 0;
+ (*this)(3,3) = 1;
+}
+template <typename TRAIT>
+const typename iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link1_X_fr_link2& iit::ct_quadrotor::tpl::HomogeneousTransforms<TRAIT>::Type_fr_link1_X_fr_link2::update(const JState& q) {
+ SCALAR sin__q_jB__;
+ SCALAR cos__q_jB__;
+
+ sin__q_jB__ = TRAIT::sin( q(JB));
+ cos__q_jB__ = TRAIT::cos( q(JB));
+
+ (*this)(0,0) = sin__q_jB__;
+ (*this)(0,1) = cos__q_jB__;
+ (*this)(2,0) = - cos__q_jB__;
+ (*this)(2,1) = sin__q_jB__;
+ return *this;
+}
+
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/model/ct_quadrotor.dtdsl b/ct_models/include/ct/models/QuadrotorWithLoad/model/ct_quadrotor.dtdsl
new file mode 100644
index 0000000..0830a0f
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/model/ct_quadrotor.dtdsl
@@ -0,0 +1,22 @@
+Robot ct_quadrotor
+
+Frames {
+ fr_body, fr_link1, fr_link2, fr_com0, fr_com1, fr_ee
+}
+
+Transforms {
+ base=fr_body, target=fr_link1
+ base=fr_body, target=fr_link2
+ base=fr_body, target=fr_ee
+ base=fr_body, target=fr_com0
+ base=fr_body, target=fr_com1
+ base=fr_link1, target=fr_body
+ base=fr_link2, target=fr_body
+ base=fr_ee, target=fr_body
+ base=fr_com0, target=fr_body
+ base=fr_com1, target=fr_body
+}
+
+Jacobians {
+ base=fr_body, target=fr_ee
+}
diff --git a/ct_models/include/ct/models/QuadrotorWithLoad/model/ct_quadrotor.kindsl b/ct_models/include/ct/models/QuadrotorWithLoad/model/ct_quadrotor.kindsl
new file mode 100644
index 0000000..f850cfe
--- /dev/null
+++ b/ct_models/include/ct/models/QuadrotorWithLoad/model/ct_quadrotor.kindsl
@@ -0,0 +1,71 @@
+Robot ct_quadrotor {
+
+RobotBase body floating{
+ inertia_params {
+ mass = 0.5
+ CoM = (0.0, 0.0, 0.0)
+ Ix=0.03 Iy=0.03 Iz=0.05 Ixy=0.0 Ixz=0.0 Iyz=0.0
+ }
+ children {
+ link1 via jA
+ }
+ frames {
+ fr_com0 {
+ translation = (0.0, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+link link1 {
+ id = 1
+ inertia_params {
+ mass = 0.025
+ CoM = (0.0, 0.0, -0.05)
+ Ix=0.00002075 Iy=0.00002075 Iz=0.000001 Ixy=0.0 Ixz=0.0 Iyz=0.0
+ }
+
+ children {
+ link2 via jB
+ }
+frames {
+ fr_com1 {
+ translation = (0.0, 0.0, -0.05)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+
+link link2 {
+ id = 2
+ inertia_params {
+ mass = 0.1
+ CoM = (0.35, 0.0, 0.0)
+ Ix=0.0000025 Iy=0.004084 Iz=0.004084 Ixy=0.0 Ixz=0.0 Iyz=0.0
+ }
+ children{}
+ frames {
+ fr_ee {
+ translation = (0.7, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+ }
+}
+
+
+r_joint jA {
+ ref_frame {
+ translation = (0.0, 0.0, 0.0)
+ rotation = (0.0, 0.0, 0.0)
+ }
+}
+
+r_joint jB {
+ ref_frame {
+ translation = (0.0, 0.0, -0.1)
+ rotation = (PI/2.0, 0.0, -PI/2.0)
+ }
+}
+
+}
diff --git a/ct_models/package.xml b/ct_models/package.xml
new file mode 100755
index 0000000..524a92e
--- /dev/null
+++ b/ct_models/package.xml
@@ -0,0 +1,28 @@
+<?xml version="1.0"?>
+<package>
+ <name>ct_models</name>
+ <version>0.2.1</version>
+ <description>dynamics models for adrl ct</description>
+
+ <maintainer email="neunertm@gmail.com">Michael Neunert</maintainer>
+ <maintainer email="mgiftthaler@ethz.ch">Markus Giftthaler</maintainer>
+
+ <license>Apache v2</license>
+
+ <buildtool_depend>catkin</buildtool_depend>
+
+ <build_depend>roscpp</build_depend>
+ <!-- build_depend>roslib</build_depend-->
+ <build_depend>std_msgs</build_depend>
+ <build_depend>ct_core</build_depend>
+ <build_depend>ct_rbd</build_depend>
+
+ <run_depend>roscpp</run_depend>
+ <run_depend>std_msgs</run_depend>
+ <run_depend>ct_core</run_depend>
+ <run_depend>ct_rbd</run_depend>
+
+ <export>
+
+ </export>
+</package>
diff --git a/ct_models/scripts/hyqRunAllCodgenTimings.sh b/ct_models/scripts/hyqRunAllCodgenTimings.sh
new file mode 100755
index 0000000..7bffdf8
--- /dev/null
+++ b/ct_models/scripts/hyqRunAllCodgenTimings.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+printf "=============== FORWARD DYNAMICS ===============\n"
+rosrun ct_models HyQcompareForwardReverseFD
+printf "\n \n"
+
+printf "=============== INVERSE DYNAMICS ===============\n"
+rosrun ct_models HyQcompareForwardReverseID
+printf "\n \n"
+
+printf "=============== FORWARD KINEMATICS ===============\n"
+rosrun ct_models HyQcompareForwardReverseKin
+printf "\n \n"
diff --git a/ct_models/src/HyA/codegen/HyALinearizationCodeGen.cpp b/ct_models/src/HyA/codegen/HyALinearizationCodeGen.cpp
new file mode 100644
index 0000000..1db0001
--- /dev/null
+++ b/ct_models/src/HyA/codegen/HyALinearizationCodeGen.cpp
@@ -0,0 +1,86 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#include <ct/core/core.h>
+#include <ct/optcon/optcon.h>
+#include <ct/rbd/rbd.h>
+
+#include <cmath>
+#include <memory>
+
+#include <ct/models/HyA/HyA.h>
+#include <ct/rbd/systems/FixBaseFDSystem.h>
+
+#include <ct/models/CodegenOutputDirs.h>
+
+const size_t state_dim = ct::rbd::FixBaseFDSystem<ct::rbd::HyA::Dynamics>::STATE_DIM;
+const size_t control_dim = ct::rbd::FixBaseFDSystem<ct::rbd::HyA::Dynamics>::CONTROL_DIM;
+const size_t njoints = ct::rbd::HyA::Dynamics::NJOINTS;
+
+typedef ct::core::ADCodegenLinearizer<state_dim, control_dim>::ADCGScalar Scalar;
+typedef ct::rbd::FixBaseFDSystem<ct::rbd::HyA::tpl::Dynamics<Scalar>> HyANonLinearSystem;
+typedef ct::core::DerivativesCppadCG<state_dim, control_dim> JacCG;
+
+template <typename SCALAR>
+using control_vector_t = typename ct::rbd::HyA::tpl::Dynamics<SCALAR>::control_vector_t;
+
+template <typename SCALAR>
+using ExtLinkForces_t = typename ct::rbd::HyA::tpl::Dynamics<SCALAR>::ExtLinkForces_t;
+
+// Computes the torque needed to compensate gravity
+template <typename SCALAR>
+Eigen::Matrix<SCALAR, control_dim, 1> hyaInverseDynamics(const Eigen::Matrix<SCALAR, state_dim, 1>& x)
+{
+ ct::rbd::HyA::tpl::Dynamics<SCALAR> hyaDynamics;
+ ct::rbd::tpl::JointState<njoints, SCALAR> hyaState(x);
+ Eigen::Matrix<SCALAR, njoints, 1> qddTmp = Eigen::Matrix<SCALAR, njoints, 1>::Zero();
+ ct::rbd::tpl::JointAcceleration<njoints, SCALAR> qdd(qddTmp); //zero
+ ExtLinkForces_t<SCALAR> fext(Eigen::Matrix<SCALAR, njoints, 1>::Zero()); //zero
+ control_vector_t<SCALAR> y;
+ hyaDynamics.FixBaseID(hyaState, qdd, fext, y);
+ return y;
+}
+
+int main(int argc, char** argv)
+{
+ std::shared_ptr<HyANonLinearSystem> hya(new HyANonLinearSystem());
+ ct::core::ADCodegenLinearizer<state_dim, control_dim> adLinearizer(hya);
+ typename JacCG::FUN_TYPE_CG f = hyaInverseDynamics<CppAD::AD<CppAD::cg::CG<double>>>;
+ JacCG jacCG(f);
+
+ try
+ {
+ std::cout << "Generating Jacobian of Inverse Dynamics wrt state using reverse mode... " << std::endl;
+ jacCG.generateJacobianSource("HyAInverseDynJacReverse", ct::models::HYA_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyA", JacCG::Sparsity::Ones(), true);
+
+ std::cout << "Generating Hessian of Inverse Dynamics wrt state using reverse mode... " << std::endl;
+ jacCG.generateHessianSource("HyAInverseDynHessian", ct::models::HYA_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyA", JacCG::HessianSparsity::Ones(), true);
+
+ std::cout << "generating using forward mode" << std::endl;
+ adLinearizer.generateCode("HyALinearizedForward", ct::models::HYA_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyA", false);
+
+ std::cout << "generating using reverse mode" << std::endl;
+ adLinearizer.generateCode("HyALinearizedReverse", ct::models::HYA_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyA", true);
+
+ std::cout << "Generating Jacobian of Inverse Dynamics wrt state using forward mode... " << std::endl;
+ jacCG.generateJacobianSource("HyAInverseDynJacForward", ct::models::HYA_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyA", JacCG::Sparsity::Ones(), false);
+
+ std::cout << "... done!" << std::endl;
+
+
+ } catch (const std::runtime_error& e)
+ {
+ std::cout << "code generation failed: " << e.what() << std::endl;
+ }
+
+ return 0;
+}
diff --git a/ct_models/src/HyA/codegen/compareForwardReverse.cpp b/ct_models/src/HyA/codegen/compareForwardReverse.cpp
new file mode 100644
index 0000000..58cc7fa
--- /dev/null
+++ b/ct_models/src/HyA/codegen/compareForwardReverse.cpp
@@ -0,0 +1,260 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/rbd/rbd.h>
+
+#include <ct/models/HyA/HyA.h>
+#include <ct/models/HyA/codegen/HyALinearizedForward.h>
+#include <ct/models/HyA/codegen/HyALinearizedReverse.h>
+
+#include <ct/models/HyA/codegen/HyAInverseDynJacForward.h>
+#include <ct/models/HyA/codegen/HyAInverseDynJacReverse.h>
+
+using namespace ct::models::HyA;
+
+void timingForwardDynamics()
+{
+ HyALinearizedForward linModelForward;
+ HyALinearizedReverse linModelReverse;
+
+ typedef ct::rbd::FixBaseFDSystem<ct::rbd::HyA::Dynamics> HyASystem;
+ std::shared_ptr<HyASystem> hyaSys = std::shared_ptr<HyASystem>(new HyASystem);
+
+ ct::rbd::RbdLinearizer<HyASystem> linearizer(hyaSys);
+ ct::core::SystemLinearizer<HyASystem::STATE_DIM, HyASystem::CONTROL_DIM> sysLinearizer(hyaSys, false);
+
+
+ static const size_t nTests = 10000;
+
+ typedef typename HyASystem::StateVector X;
+ typedef typename HyASystem::ControlVector U;
+
+ typedef Eigen::Matrix<double, HyASystem::STATE_DIM, HyASystem::STATE_DIM> JacA;
+ typedef Eigen::Matrix<double, HyASystem::STATE_DIM, HyASystem::CONTROL_DIM> JacB;
+
+
+ std::vector<X> x(nTests);
+ std::vector<U> u(nTests);
+
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> forwardA(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> reverseA(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> rbdA(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> numDiffA(nTests);
+
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> forwardB(nTests);
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> reverseB(nTests);
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> rbdB(nTests);
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> numDiffB(nTests);
+
+
+ std::cout << "running " << nTests << " tests" << std::endl;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x[i].setRandom();
+ u[i].setRandom();
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forwardA[i] = linModelForward.getDerivativeState(x[i], u[i]);
+ }
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ size_t msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "forwardA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverseA[i] = linModelReverse.getDerivativeState(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "reverseA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ rbdA[i] = linearizer.getDerivativeState(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "rbdA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ numDiffA[i] = sysLinearizer.getDerivativeState(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "numDiffA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forwardB[i] = linModelForward.getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "forwardB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverseB[i] = linModelForward.getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "reverseB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ rbdB[i] = linearizer.getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "rbdB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ numDiffB[i] = sysLinearizer.getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "numDiffB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ bool failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forwardA[i].isApprox(reverseA[i], 1e-12))
+ {
+ std::cout << "Forward A and reverse A not similar" << std::endl;
+ std::cout << "forward A: " << std::endl << forwardA[i] << std::endl;
+ std::cout << "reverse A: " << std::endl << reverseA[i] << std::endl;
+ failed = true;
+ }
+
+ if (!forwardA[i].isApprox(rbdA[i], 1e-5))
+ {
+ std::cout << "Forward A and RbdLinearizer A not similar" << std::endl;
+ std::cout << "forward A: " << std::endl << forwardA[i] << std::endl;
+ std::cout << "reverse A: " << std::endl << rbdA[i] << std::endl;
+ failed = true;
+ }
+
+ if (!reverseA[i].isApprox(rbdA[i], 1e-5))
+ {
+ std::cout << "Forward A and RbdLinearizer A not similar" << std::endl;
+ std::cout << "reverse A: " << std::endl << reverseA[i] << std::endl;
+ std::cout << "rbd A: " << std::endl << rbdA[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ }
+
+ failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forwardB[i].isApprox(rbdB[i], 1e-5))
+ {
+ std::cout << "Forward B and RbdLinearizer B not similar" << std::endl;
+ std::cout << "forward B: " << std::endl << forwardB[i] << std::endl;
+ std::cout << "rbd B: " << std::endl << rbdB[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!reverseB[i].isApprox(rbdB[i], 1e-5))
+ {
+ std::cout << "Forward B and RbdLinearizer B not similar" << std::endl;
+ std::cout << "reverse B: " << std::endl << reverseB[i] << std::endl;
+ std::cout << "rbd B: " << std::endl << rbdB[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!forwardB[i].isApprox(reverseB[i], 1e-12))
+ {
+ std::cout << "Forward B and reverse B not similar" << std::endl;
+ std::cout << "forward B: " << std::endl << forwardB[i] << std::endl;
+ std::cout << "reverse B: " << std::endl << reverseB[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (failed)
+ {
+ std::cout << "test failed, aborting" << std::endl;
+ break;
+ }
+ }
+}
+
+void timingInverseDynamics()
+{
+ HyAInverseDynJacForward ivLinearForward;
+ HyAInverseDynJacReverse ivLinearReverse;
+
+ typedef Eigen::Matrix<double, 6, 12> JacIv;
+ static const size_t nTests = 10000;
+
+ std::cout << "running " << nTests << " tests" << std::endl;
+
+ std::vector<JacIv, Eigen::aligned_allocator<JacIv>> forwardJacIv(nTests);
+ std::vector<JacIv, Eigen::aligned_allocator<JacIv>> reverseJacIv(nTests);
+
+ typedef typename Eigen::Matrix<double, 12, 1> X;
+ std::vector<X> x(nTests);
+
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x[i].setRandom();
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forwardJacIv[i] = ivLinearForward.jacobian(x[i]);
+ }
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ size_t msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "forwardJacIv: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverseJacIv[i] = ivLinearReverse.jacobian(x[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::milli>(diff).count();
+ std::cout << "reverseJacIv: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+
+ bool failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forwardJacIv[i].isApprox(reverseJacIv[i], 1e-12))
+ {
+ std::cout << "ForwardJacIv and reverseJacIv not similar" << std::endl;
+ std::cout << "ForwardJacIv A: " << std::endl << forwardJacIv[i] << std::endl;
+ std::cout << "reverseJacIv A: " << std::endl << reverseJacIv[i] << std::endl;
+ failed = true;
+ }
+ }
+}
+
+int main(int argc, char* argv[])
+{
+ timingForwardDynamics();
+ timingInverseDynamics();
+ return 0;
+}
diff --git a/ct_models/src/HyA/transform6d.cpp b/ct_models/src/HyA/transform6d.cpp
new file mode 100644
index 0000000..86fae75
--- /dev/null
+++ b/ct_models/src/HyA/transform6d.cpp
@@ -0,0 +1,25752 @@
+/// autogenerated analytical inverse kinematics code from ikfast program part of OpenRAVE
+/// \author Rosen Diankov
+///
+/// Licensed under the Apache License, Version 2.0 (the "License");
+/// you may not use this file except in compliance with the License.
+/// You may obtain a copy of the License at
+/// http://www.apache.org/licenses/LICENSE-2.0
+///
+/// Unless required by applicable law or agreed to in writing, software
+/// distributed under the License is distributed on an "AS IS" BASIS,
+/// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+/// See the License for the specific language governing permissions and
+/// limitations under the License.
+///
+/// ikfast version 0x1000004a generated on 2018-01-21 23:37:30.503597
+/// Generated using solver transform6d
+/// To compile with gcc:
+/// gcc -lstdc++ ik.cpp
+/// To compile without any main function as a shared object (might need -llapack):
+/// gcc -fPIC -lstdc++ -DIKFAST_NO_MAIN -DIKFAST_CLIBRARY -shared -Wl,-soname,libik.so -o libik.so ik.cpp
+#define IKFAST_HAS_LIBRARY
+#include "ikfast.h" // found inside share/openrave-X.Y/python/ikfast.h
+using namespace ikfast;
+
+// check if the included ikfast version matches what this file was compiled with
+#define IKFAST_COMPILE_ASSERT(x) extern int __dummy[(int)x]
+IKFAST_COMPILE_ASSERT(IKFAST_VERSION==0x1000004a);
+
+#include <cmath>
+#include <vector>
+#include <limits>
+#include <algorithm>
+#include <complex>
+
+#ifndef IKFAST_ASSERT
+#include <stdexcept>
+#include <sstream>
+#include <iostream>
+
+#ifdef _MSC_VER
+#ifndef __PRETTY_FUNCTION__
+#define __PRETTY_FUNCTION__ __FUNCDNAME__
+#endif
+#endif
+
+#ifndef __PRETTY_FUNCTION__
+#define __PRETTY_FUNCTION__ __func__
+#endif
+
+#define IKFAST_ASSERT(b) { if( !(b) ) { std::stringstream ss; ss << "ikfast exception: " << __FILE__ << ":" << __LINE__ << ": " <<__PRETTY_FUNCTION__ << ": Assertion '" << #b << "' failed"; throw std::runtime_error(ss.str()); } }
+
+#endif
+
+#if defined(_MSC_VER)
+#define IKFAST_ALIGNED16(x) __declspec(align(16)) x
+#else
+#define IKFAST_ALIGNED16(x) x __attribute((aligned(16)))
+#endif
+
+#define IK2PI ((IkReal)6.28318530717959)
+#define IKPI ((IkReal)3.14159265358979)
+#define IKPI_2 ((IkReal)1.57079632679490)
+
+#ifdef _MSC_VER
+#ifndef isnan
+#define isnan _isnan
+#endif
+#ifndef isinf
+#define isinf _isinf
+#endif
+//#ifndef isfinite
+//#define isfinite _isfinite
+//#endif
+#endif // _MSC_VER
+
+// lapack routines
+extern "C" {
+ void dgetrf_ (const int* m, const int* n, double* a, const int* lda, int* ipiv, int* info);
+ void zgetrf_ (const int* m, const int* n, std::complex<double>* a, const int* lda, int* ipiv, int* info);
+ void dgetri_(const int* n, const double* a, const int* lda, int* ipiv, double* work, const int* lwork, int* info);
+ void dgesv_ (const int* n, const int* nrhs, double* a, const int* lda, int* ipiv, double* b, const int* ldb, int* info);
+ void dgetrs_(const char *trans, const int *n, const int *nrhs, double *a, const int *lda, int *ipiv, double *b, const int *ldb, int *info);
+ void dgeev_(const char *jobvl, const char *jobvr, const int *n, double *a, const int *lda, double *wr, double *wi,double *vl, const int *ldvl, double *vr, const int *ldvr, double *work, const int *lwork, int *info);
+}
+
+using namespace std; // necessary to get std math routines
+
+#ifdef IKFAST_NAMESPACE
+namespace IKFAST_NAMESPACE {
+#endif
+
+inline float IKabs(float f) { return fabsf(f); }
+inline double IKabs(double f) { return fabs(f); }
+
+inline float IKsqr(float f) { return f*f; }
+inline double IKsqr(double f) { return f*f; }
+
+inline float IKlog(float f) { return logf(f); }
+inline double IKlog(double f) { return log(f); }
+
+// allows asin and acos to exceed 1. has to be smaller than thresholds used for branch conds and evaluation
+#ifndef IKFAST_SINCOS_THRESH
+#define IKFAST_SINCOS_THRESH ((IkReal)1e-7)
+#endif
+
+// used to check input to atan2 for degenerate cases. has to be smaller than thresholds used for branch conds and evaluation
+#ifndef IKFAST_ATAN2_MAGTHRESH
+#define IKFAST_ATAN2_MAGTHRESH ((IkReal)1e-7)
+#endif
+
+// minimum distance of separate solutions
+#ifndef IKFAST_SOLUTION_THRESH
+#define IKFAST_SOLUTION_THRESH ((IkReal)1e-6)
+#endif
+
+// there are checkpoints in ikfast that are evaluated to make sure they are 0. This threshold speicfies by how much they can deviate
+#ifndef IKFAST_EVALCOND_THRESH
+#define IKFAST_EVALCOND_THRESH ((IkReal)0.00001)
+#endif
+
+
+inline float IKasin(float f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return float(-IKPI_2);
+else if( f >= 1 ) return float(IKPI_2);
+return asinf(f);
+}
+inline double IKasin(double f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return -IKPI_2;
+else if( f >= 1 ) return IKPI_2;
+return asin(f);
+}
+
+// return positive value in [0,y)
+inline float IKfmod(float x, float y)
+{
+ while(x < 0) {
+ x += y;
+ }
+ return fmodf(x,y);
+}
+
+// return positive value in [0,y)
+inline double IKfmod(double x, double y)
+{
+ while(x < 0) {
+ x += y;
+ }
+ return fmod(x,y);
+}
+
+inline float IKacos(float f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return float(IKPI);
+else if( f >= 1 ) return float(0);
+return acosf(f);
+}
+inline double IKacos(double f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return IKPI;
+else if( f >= 1 ) return 0;
+return acos(f);
+}
+inline float IKsin(float f) { return sinf(f); }
+inline double IKsin(double f) { return sin(f); }
+inline float IKcos(float f) { return cosf(f); }
+inline double IKcos(double f) { return cos(f); }
+inline float IKtan(float f) { return tanf(f); }
+inline double IKtan(double f) { return tan(f); }
+inline float IKsqrt(float f) { if( f <= 0.0f ) return 0.0f; return sqrtf(f); }
+inline double IKsqrt(double f) { if( f <= 0.0 ) return 0.0; return sqrt(f); }
+inline float IKatan2Simple(float fy, float fx) {
+ return atan2f(fy,fx);
+}
+inline float IKatan2(float fy, float fx) {
+ if( isnan(fy) ) {
+ IKFAST_ASSERT(!isnan(fx)); // if both are nan, probably wrong value will be returned
+ return float(IKPI_2);
+ }
+ else if( isnan(fx) ) {
+ return 0;
+ }
+ return atan2f(fy,fx);
+}
+inline double IKatan2Simple(double fy, double fx) {
+ return atan2(fy,fx);
+}
+inline double IKatan2(double fy, double fx) {
+ if( isnan(fy) ) {
+ IKFAST_ASSERT(!isnan(fx)); // if both are nan, probably wrong value will be returned
+ return IKPI_2;
+ }
+ else if( isnan(fx) ) {
+ return 0;
+ }
+ return atan2(fy,fx);
+}
+
+template <typename T>
+struct CheckValue
+{
+ T value;
+ bool valid;
+};
+
+template <typename T>
+inline CheckValue<T> IKatan2WithCheck(T fy, T fx, T epsilon)
+{
+ CheckValue<T> ret;
+ ret.valid = false;
+ ret.value = 0;
+ if( !isnan(fy) && !isnan(fx) ) {
+ if( IKabs(fy) >= IKFAST_ATAN2_MAGTHRESH || IKabs(fx) > IKFAST_ATAN2_MAGTHRESH ) {
+ ret.value = IKatan2Simple(fy,fx);
+ ret.valid = true;
+ }
+ }
+ return ret;
+}
+
+inline float IKsign(float f) {
+ if( f > 0 ) {
+ return float(1);
+ }
+ else if( f < 0 ) {
+ return float(-1);
+ }
+ return 0;
+}
+
+inline double IKsign(double f) {
+ if( f > 0 ) {
+ return 1.0;
+ }
+ else if( f < 0 ) {
+ return -1.0;
+ }
+ return 0;
+}
+
+template <typename T>
+inline CheckValue<T> IKPowWithIntegerCheck(T f, int n)
+{
+ CheckValue<T> ret;
+ ret.valid = true;
+ if( n == 0 ) {
+ ret.value = 1.0;
+ return ret;
+ }
+ else if( n == 1 )
+ {
+ ret.value = f;
+ return ret;
+ }
+ else if( n < 0 )
+ {
+ if( f == 0 )
+ {
+ ret.valid = false;
+ ret.value = (T)1.0e30;
+ return ret;
+ }
+ if( n == -1 ) {
+ ret.value = T(1.0)/f;
+ return ret;
+ }
+ }
+
+ int num = n > 0 ? n : -n;
+ if( num == 2 ) {
+ ret.value = f*f;
+ }
+ else if( num == 3 ) {
+ ret.value = f*f*f;
+ }
+ else {
+ ret.value = 1.0;
+ while(num>0) {
+ if( num & 1 ) {
+ ret.value *= f;
+ }
+ num >>= 1;
+ f *= f;
+ }
+ }
+
+ if( n < 0 ) {
+ ret.value = T(1.0)/ret.value;
+ }
+ return ret;
+}
+
+/// solves the forward kinematics equations.
+/// \param pfree is an array specifying the free joints of the chain.
+IKFAST_API void ComputeFk(const IkReal* j, IkReal* eetrans, IkReal* eerot) {
+IkReal x0,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52,x53,x54,x55;
+x0=IKcos(j[0]);
+x1=IKcos(j[2]);
+x2=IKsin(j[0]);
+x3=IKsin(j[1]);
+x4=IKsin(j[2]);
+x5=IKcos(j[3]);
+x6=IKcos(j[1]);
+x7=IKsin(j[3]);
+x8=IKcos(j[5]);
+x9=IKsin(j[5]);
+x10=IKcos(j[4]);
+x11=IKsin(j[4]);
+x12=((0.02075)*x3);
+x13=((0.03)*x5);
+x14=((1.0)*x2);
+x15=((1.0)*x6);
+x16=((0.296)*x5);
+x17=((0.03)*x11);
+x18=((0.03)*x7);
+x19=((1.0)*x3);
+x20=((0.02075)*x5);
+x21=((1.0)*x7);
+x22=((0.03)*x10);
+x23=(x0*x4);
+x24=(x0*x6);
+x25=(x2*x4);
+x26=(x6*x7);
+x27=(x2*x6);
+x28=(x0*x1);
+x29=(x1*x3);
+x30=(x1*x5*x6);
+x31=(x10*x4*x6);
+x32=(x19*x28);
+x33=(x0*x15*x5);
+x34=(x14*x5*x6);
+x35=(x14*x3*x4);
+x36=((((-1.0)*x32))+x25);
+x37=((((-1.0)*x35))+x28);
+x38=((((-1.0)*x19*x7))+x30);
+x39=((((-1.0)*x14*x4))+x32);
+x40=(((x19*x23))+((x1*x14)));
+x41=((-1.0)*x40);
+x42=(((x14*x29))+(((1.0)*x23)));
+x43=((-1.0)*x42);
+x44=(((x1*x15*x7))+((x19*x5)));
+x45=(x10*x37);
+x46=(x11*x38);
+x47=(x36*x5);
+x48=(x39*x7);
+x49=(x42*x7);
+x50=(x10*x41);
+x51=(x47+(((-1.0)*x0*x15*x7)));
+x52=(x31+x46);
+x53=((((-1.0)*x14*x26))+((x43*x5)));
+x54=(((x11*x51))+x50);
+x55=(((x11*x53))+x45);
+eerot[0]=(((x8*((x33+(((-1.0)*x21*x39))))))+((x54*x9)));
+eerot[1]=(((x54*x8))+((x9*(((((-1.0)*x33))+x48)))));
+eerot[2]=(((x11*x40))+((x10*x51)));
+eetrans[0]=(((x7*(((((-0.296)*x28*x3))+(((0.296)*x25))))))+((x9*((((x17*x51))+((x22*x41))))))+((x8*(((((-1.0)*x18*x39))+((x13*x24))))))+((x11*((((x20*x36))+(((-0.02075)*x24*x7))))))+(((0.416)*x24))+((x16*x24))+((x10*(((((-0.02075)*x1*x2))+(((-1.0)*x12*x23)))))));
+eerot[3]=(((x55*x9))+((x8*((x34+(((-1.0)*x21*x42)))))));
+eerot[4]=(((x9*(((((-1.0)*x34))+x49))))+((x55*x8)));
+eerot[5]=(((x11*(((((-1.0)*x28))+x35))))+((x10*x53)));
+eetrans[1]=(((x10*(((((-1.0)*x12*x25))+(((0.02075)*x28))))))+((x8*(((((-1.0)*x18*x42))+((x13*x27))))))+((x9*((((x17*x53))+((x22*x37))))))+((x7*(((((-0.296)*x23))+(((-0.296)*x2*x29))))))+((x11*((((x20*x43))+(((-0.02075)*x2*x26))))))+(((0.416)*x27))+((x16*x27)));
+eerot[6]=(((x44*x8))+((x52*x9)));
+eerot[7]=((((-1.0)*x44*x9))+((x52*x8)));
+eerot[8]=(((x10*x38))+(((-1.0)*x11*x15*x4)));
+IkReal x56=(x1*x6);
+eetrans[2]=((0.178)+(((0.02075)*x31))+((x11*(((((-1.0)*x12*x7))+((x20*x56))))))+(((0.416)*x3))+(((0.296)*x1*x26))+((x8*((((x18*x56))+((x13*x3))))))+((x16*x3))+((x9*((((x22*x4*x6))+((x17*x38)))))));
+}
+
+IKFAST_API int GetNumFreeParameters() { return 0; }
+IKFAST_API int* GetFreeParameters() { return NULL; }
+IKFAST_API int GetNumJoints() { return 6; }
+
+IKFAST_API int GetIkRealSize() { return sizeof(IkReal); }
+
+IKFAST_API int GetIkType() { return 0x67000001; }
+
+class IKSolver {
+public:
+IkReal j0,cj0,sj0,htj0,j0mul,j1,cj1,sj1,htj1,j1mul,j2,cj2,sj2,htj2,j2mul,j3,cj3,sj3,htj3,j3mul,j4,cj4,sj4,htj4,j4mul,j5,cj5,sj5,htj5,j5mul,new_r00,r00,rxp0_0,new_r01,r01,rxp0_1,new_r02,r02,rxp0_2,new_r10,r10,rxp1_0,new_r11,r11,rxp1_1,new_r12,r12,rxp1_2,new_r20,r20,rxp2_0,new_r21,r21,rxp2_1,new_r22,r22,rxp2_2,new_px,px,npx,new_py,py,npy,new_pz,pz,npz,pp;
+unsigned char _ij0[2], _nj0,_ij1[2], _nj1,_ij2[2], _nj2,_ij3[2], _nj3,_ij4[2], _nj4,_ij5[2], _nj5;
+
+IkReal j100, cj100, sj100;
+unsigned char _ij100[2], _nj100;
+bool ComputeIk(const IkReal* eetrans, const IkReal* eerot, const IkReal* pfree, IkSolutionListBase<IkReal>& solutions) {
+j0=numeric_limits<IkReal>::quiet_NaN(); _ij0[0] = -1; _ij0[1] = -1; _nj0 = -1; j1=numeric_limits<IkReal>::quiet_NaN(); _ij1[0] = -1; _ij1[1] = -1; _nj1 = -1; j2=numeric_limits<IkReal>::quiet_NaN(); _ij2[0] = -1; _ij2[1] = -1; _nj2 = -1; j3=numeric_limits<IkReal>::quiet_NaN(); _ij3[0] = -1; _ij3[1] = -1; _nj3 = -1; j4=numeric_limits<IkReal>::quiet_NaN(); _ij4[0] = -1; _ij4[1] = -1; _nj4 = -1; j5=numeric_limits<IkReal>::quiet_NaN(); _ij5[0] = -1; _ij5[1] = -1; _nj5 = -1;
+for(int dummyiter = 0; dummyiter < 1; ++dummyiter) {
+ solutions.Clear();
+r00 = eerot[0*3+0];
+r01 = eerot[0*3+1];
+r02 = eerot[0*3+2];
+r10 = eerot[1*3+0];
+r11 = eerot[1*3+1];
+r12 = eerot[1*3+2];
+r20 = eerot[2*3+0];
+r21 = eerot[2*3+1];
+r22 = eerot[2*3+2];
+px = eetrans[0]; py = eetrans[1]; pz = eetrans[2];
+
+new_r00=r01;
+new_r01=((-1.0)*r00);
+new_r02=r02;
+new_px=(px+(((-0.03)*r00)));
+new_r10=r11;
+new_r11=((-1.0)*r10);
+new_r12=r12;
+new_py=(py+(((-0.03)*r10)));
+new_r20=r21;
+new_r21=((-1.0)*r20);
+new_r22=r22;
+new_pz=((-0.178)+(((-0.03)*r20))+pz);
+r00 = new_r00; r01 = new_r01; r02 = new_r02; r10 = new_r10; r11 = new_r11; r12 = new_r12; r20 = new_r20; r21 = new_r21; r22 = new_r22; px = new_px; py = new_py; pz = new_pz;
+IkReal x57=((1.0)*px);
+IkReal x58=((1.0)*pz);
+IkReal x59=((1.0)*py);
+pp=((px*px)+(py*py)+(pz*pz));
+npx=(((px*r00))+((py*r10))+((pz*r20)));
+npy=(((px*r01))+((py*r11))+((pz*r21)));
+npz=(((px*r02))+((py*r12))+((pz*r22)));
+rxp0_0=((((-1.0)*r20*x59))+((pz*r10)));
+rxp0_1=(((px*r20))+(((-1.0)*r00*x58)));
+rxp0_2=((((-1.0)*r10*x57))+((py*r00)));
+rxp1_0=((((-1.0)*r21*x59))+((pz*r11)));
+rxp1_1=(((px*r21))+(((-1.0)*r01*x58)));
+rxp1_2=((((-1.0)*r11*x57))+((py*r01)));
+rxp2_0=(((pz*r12))+(((-1.0)*r22*x59)));
+rxp2_1=(((px*r22))+(((-1.0)*r02*x58)));
+rxp2_2=((((-1.0)*r12*x57))+((py*r02)));
+{
+IkReal j4eval[1];
+IkReal x60=pp*pp;
+IkReal x61=npz*npz;
+IkReal x62=((0.030003082397184)*npz);
+IkReal x63=((0.114909184)*npz*pp);
+j4eval[0]=((((2.0)*(IKabs((x63+(((-1.0)*x62)))))))+(((1.95033419776)*(IKabs(x61))))+(IKabs(((-0.00520874343240181)+(((-0.242599591936)*x61))+(((0.361482920448)*pp))+(((-0.692224)*x60)))))+(IKabs(((0.0104174868648036)+(((-1.465135013888)*x61))+(((1.384448)*x60))+(((-0.722965840896)*pp)))))+(((2.0)*(IKabs((x62+(((-1.0)*x63))))))));
+if( IKabs(j4eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j3, j4, j5]
+
+} else
+{
+IkReal op[8+1], zeror[8];
+int numroots;
+IkReal x64=npz*npz;
+IkReal x65=pp*pp;
+IkReal x66=((0.030003082397184)*npz);
+IkReal x67=((0.114909184)*npz*pp);
+IkReal x68=(x66+(((-1.0)*x67)));
+IkReal x69=((-0.97516709888)*x64);
+IkReal x70=(x67+(((-1.0)*x66)));
+IkReal x71=((-0.00520874343240181)+(((-0.242599591936)*x64))+(((0.361482920448)*pp))+(((-0.692224)*x65)));
+op[0]=x71;
+op[1]=x68;
+op[2]=x69;
+op[3]=x68;
+op[4]=((0.0104174868648036)+(((-1.465135013888)*x64))+(((1.384448)*x65))+(((-0.722965840896)*pp)));
+op[5]=x70;
+op[6]=x69;
+op[7]=x70;
+op[8]=x71;
+polyroots8(op,zeror,numroots);
+IkReal j4array[8], cj4array[8], sj4array[8], tempj4array[1];
+int numsolutions = 0;
+for(int ij4 = 0; ij4 < numroots; ++ij4)
+{
+IkReal htj4 = zeror[ij4];
+tempj4array[0]=((2.0)*(atan(htj4)));
+for(int kj4 = 0; kj4 < 1; ++kj4)
+{
+j4array[numsolutions] = tempj4array[kj4];
+if( j4array[numsolutions] > IKPI )
+{
+ j4array[numsolutions]-=IK2PI;
+}
+else if( j4array[numsolutions] < -IKPI )
+{
+ j4array[numsolutions]+=IK2PI;
+}
+sj4array[numsolutions] = IKsin(j4array[numsolutions]);
+cj4array[numsolutions] = IKcos(j4array[numsolutions]);
+numsolutions++;
+}
+}
+bool j4valid[8]={true,true,true,true,true,true,true,true};
+_nj4 = 8;
+for(int ij4 = 0; ij4 < numsolutions; ++ij4)
+ {
+if( !j4valid[ij4] )
+{
+ continue;
+}
+ j4 = j4array[ij4]; cj4 = cj4array[ij4]; sj4 = sj4array[ij4];
+htj4 = IKtan(j4/2);
+
+_ij4[0] = ij4; _ij4[1] = -1;
+for(int iij4 = ij4+1; iij4 < numsolutions; ++iij4)
+{
+if( j4valid[iij4] && IKabs(cj4array[ij4]-cj4array[iij4]) < IKFAST_SOLUTION_THRESH && IKabs(sj4array[ij4]-sj4array[iij4]) < IKFAST_SOLUTION_THRESH )
+{
+ j4valid[iij4]=false; _ij4[1] = iij4; break;
+}
+}
+{
+IkReal j3eval[1];
+j3eval[0]=cj4;
+if( IKabs(j3eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x72=cj4*cj4;
+j5eval[0]=(((x72*(npx*npx)))+((x72*(npy*npy))));
+j5eval[1]=((IKabs((cj4*npy)))+(IKabs((cj4*npx))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j4)))), 6.28318530717959)));
+evalcond[1]=npz;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3array[2], cj3array[2], sj3array[2];
+bool j3valid[2]={false};
+_nj3 = 2;
+if( (((-1.05762474974545)+(((4.05061037938089)*pp)))) < -1-IKFAST_SINCOS_THRESH || (((-1.05762474974545)+(((4.05061037938089)*pp)))) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+IkReal x73=IKasin(((-1.05762474974545)+(((4.05061037938089)*pp))));
+j3array[0]=((1.50080946872133)+(((-1.0)*x73)));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+j3array[1]=((4.64240212231113)+x73);
+sj3array[1]=IKsin(j3array[1]);
+cj3array[1]=IKcos(j3array[1]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+if( j3array[1] > IKPI )
+{
+ j3array[1]-=IK2PI;
+}
+else if( j3array[1] < -IKPI )
+{ j3array[1]+=IK2PI;
+}
+j3valid[1] = true;
+for(int ij3 = 0; ij3 < 2; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 2; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+
+{
+IkReal j5eval[3];
+sj4=1.0;
+cj4=0;
+j4=1.5707963267949;
+IkReal x74=((0.416)*cj3);
+IkReal x75=((0.416)*sj3);
+IkReal x76=((npx*npx)+(npy*npy));
+j5eval[0]=x76;
+j5eval[1]=((IKabs(((((-1.0)*npy*x74))+(((-1.0)*npx*x75))+(((0.02075)*npx))+(((-0.296)*npy)))))+(IKabs(((((-1.0)*npx*x74))+(((-0.02075)*npy))+((npy*x75))+(((-0.296)*npx))))));
+j5eval[2]=IKsign(x76);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+sj4=1.0;
+cj4=0;
+j4=1.5707963267949;
+IkReal x77=npx*npx;
+IkReal x78=npy*npy;
+IkReal x79=(cj3*npy);
+IkReal x80=(cj3*npx);
+IkReal x81=((2000.0)*pp);
+j5eval[0]=(x77+x78);
+j5eval[1]=IKsign(((((83.0)*x77))+(((83.0)*x78))));
+j5eval[2]=((IKabs(((((492.544)*x79))+(((-24.568)*npx))+(((-34.528)*x80))+(((-1.0)*npy*x81))+(((520.482875)*npy)))))+(IKabs(((((-520.482875)*npx))+(((-492.544)*x80))+(((-24.568)*npy))+(((-34.528)*x79))+((npx*x81))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x82=(cj3*npy);
+IkReal x83=(cj3*npx);
+IkReal x84=((2000.0)*pp);
+CheckValue<IkReal> x85 = IKatan2WithCheck(IkReal(((((-24.568)*npx))+(((-34.528)*x83))+(((-1.0)*npy*x84))+(((492.544)*x82))+(((520.482875)*npy)))),IkReal(((((-520.482875)*npx))+(((-492.544)*x83))+(((-24.568)*npy))+(((-34.528)*x82))+((npx*x84)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x85.valid){
+continue;
+}
+CheckValue<IkReal> x86=IKPowWithIntegerCheck(IKsign(((((83.0)*(npx*npx)))+(((83.0)*(npy*npy))))),-1);
+if(!x86.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x85.value)+(((1.5707963267949)*(x86.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x87=IKcos(j5);
+IkReal x88=IKsin(j5);
+IkReal x89=((1.0)*x87);
+IkReal x90=(npy*x88);
+evalcond[0]=((0.02075)+(((-0.416)*sj3))+x90+(((-1.0)*npx*x89)));
+evalcond[1]=((-0.296)+(((-1.0)*npx*x88))+(((-0.416)*cj3))+(((-1.0)*npy*x89)));
+evalcond[2]=((-0.2602414375)+(((-0.0415)*npx*x87))+(((-0.246272)*cj3))+pp+(((0.0415)*x90)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1857=((0.416)*cj3);
+IkReal x1858=((0.416)*sj3);
+CheckValue<IkReal> x1859 = IKatan2WithCheck(IkReal(((((-1.0)*npx*x1857))+(((-0.02075)*npy))+((npy*x1858))+(((-0.296)*npx)))),IkReal(((((-1.0)*npy*x1857))+(((-1.0)*npx*x1858))+(((0.02075)*npx))+(((-0.296)*npy)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1859.valid){
+continue;
+}
+CheckValue<IkReal> x1860=IKPowWithIntegerCheck(IKsign(((npx*npx)+(npy*npy))),-1);
+if(!x1860.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1859.value)+(((1.5707963267949)*(x1860.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1861=IKcos(j5);
+IkReal x1862=IKsin(j5);
+IkReal x1863=((1.0)*x1861);
+IkReal x1864=(npy*x1862);
+evalcond[0]=((0.02075)+(((-0.416)*sj3))+(((-1.0)*npx*x1863))+x1864);
+evalcond[1]=((-0.296)+(((-0.416)*cj3))+(((-1.0)*npx*x1862))+(((-1.0)*npy*x1863)));
+evalcond[2]=((-0.2602414375)+(((-0.246272)*cj3))+pp+(((0.0415)*x1864))+(((-0.0415)*npx*x1861)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j4)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3array[2], cj3array[2], sj3array[2];
+bool j3valid[2]={false};
+_nj3 = 2;
+if( (((-1.05762474974545)+(((4.05061037938089)*pp)))) < -1-IKFAST_SINCOS_THRESH || (((-1.05762474974545)+(((4.05061037938089)*pp)))) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+IkReal x1865=IKasin(((-1.05762474974545)+(((4.05061037938089)*pp))));
+j3array[0]=((1.64078318486846)+(((-1.0)*x1865)));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+j3array[1]=((4.78237583845825)+x1865);
+sj3array[1]=IKsin(j3array[1]);
+cj3array[1]=IKcos(j3array[1]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+if( j3array[1] > IKPI )
+{
+ j3array[1]-=IK2PI;
+}
+else if( j3array[1] < -IKPI )
+{ j3array[1]+=IK2PI;
+}
+j3valid[1] = true;
+for(int ij3 = 0; ij3 < 2; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 2; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+
+{
+IkReal j5eval[3];
+sj4=-1.0;
+cj4=0;
+j4=-1.5707963267949;
+IkReal x1866=((0.416)*cj3);
+IkReal x1867=((0.416)*sj3);
+IkReal x1868=((npx*npx)+(npy*npy));
+j5eval[0]=x1868;
+j5eval[1]=IKsign(x1868);
+j5eval[2]=((IKabs(((((-0.02075)*npy))+(((-1.0)*npy*x1867))+(((-1.0)*npx*x1866))+(((-0.296)*npx)))))+(IKabs(((((-1.0)*npy*x1866))+(((0.02075)*npx))+((npx*x1867))+(((-0.296)*npy))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+sj4=-1.0;
+cj4=0;
+j4=-1.5707963267949;
+IkReal x1869=npx*npx;
+IkReal x1870=npy*npy;
+IkReal x1871=(cj3*npy);
+IkReal x1872=(cj3*npx);
+IkReal x1873=((2000.0)*pp);
+j5eval[0]=(x1869+x1870);
+j5eval[1]=IKsign(((((83.0)*x1869))+(((83.0)*x1870))));
+j5eval[2]=((IKabs(((((-1.0)*npy*x1873))+(((-24.568)*npx))+(((-34.528)*x1872))+(((520.482875)*npy))+(((492.544)*x1871)))))+(IKabs((((npx*x1873))+(((-520.482875)*npx))+(((-492.544)*x1872))+(((-24.568)*npy))+(((-34.528)*x1871))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1874=(cj3*npy);
+IkReal x1875=(cj3*npx);
+IkReal x1876=((2000.0)*pp);
+CheckValue<IkReal> x1877 = IKatan2WithCheck(IkReal(((((-1.0)*npy*x1876))+(((-24.568)*npx))+(((-34.528)*x1875))+(((520.482875)*npy))+(((492.544)*x1874)))),IkReal((((npx*x1876))+(((-520.482875)*npx))+(((-492.544)*x1875))+(((-24.568)*npy))+(((-34.528)*x1874)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1877.valid){
+continue;
+}
+CheckValue<IkReal> x1878=IKPowWithIntegerCheck(IKsign(((((83.0)*(npx*npx)))+(((83.0)*(npy*npy))))),-1);
+if(!x1878.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1877.value)+(((1.5707963267949)*(x1878.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1879=IKcos(j5);
+IkReal x1880=IKsin(j5);
+IkReal x1881=((1.0)*x1879);
+IkReal x1882=(npy*x1880);
+evalcond[0]=((0.02075)+(((-1.0)*npx*x1881))+x1882+(((0.416)*sj3)));
+evalcond[1]=((-0.296)+(((-1.0)*npx*x1880))+(((-0.416)*cj3))+(((-1.0)*npy*x1881)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x1882))+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x1879)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1883=((0.416)*cj3);
+IkReal x1884=((0.416)*sj3);
+CheckValue<IkReal> x1885 = IKatan2WithCheck(IkReal(((((-0.02075)*npy))+(((-1.0)*npx*x1883))+(((-0.296)*npx))+(((-1.0)*npy*x1884)))),IkReal(((((0.02075)*npx))+(((-0.296)*npy))+(((-1.0)*npy*x1883))+((npx*x1884)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1885.valid){
+continue;
+}
+CheckValue<IkReal> x1886=IKPowWithIntegerCheck(IKsign(((npx*npx)+(npy*npy))),-1);
+if(!x1886.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1885.value)+(((1.5707963267949)*(x1886.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1887=IKcos(j5);
+IkReal x1888=IKsin(j5);
+IkReal x1889=((1.0)*x1887);
+IkReal x1890=(npy*x1888);
+evalcond[0]=((0.02075)+(((-1.0)*npx*x1889))+x1890+(((0.416)*sj3)));
+evalcond[1]=((-0.296)+(((-1.0)*npx*x1888))+(((-0.416)*cj3))+(((-1.0)*npy*x1889)));
+evalcond[2]=((-0.2602414375)+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x1887))+(((0.0415)*x1890)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j3, j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+IkReal x1891=cj4*cj4;
+CheckValue<IkReal> x1894 = IKatan2WithCheck(IkReal(((-1.0)*cj4*npx)),IkReal((cj4*npy)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1894.valid){
+continue;
+}
+IkReal x1892=((1.0)*(x1894.value));
+if(((((x1891*(npy*npy)))+((x1891*(npx*npx))))) < -0.00001)
+continue;
+CheckValue<IkReal> x1895=IKPowWithIntegerCheck(IKabs(IKsqrt((((x1891*(npy*npy)))+((x1891*(npx*npx)))))),-1);
+if(!x1895.valid){
+continue;
+}
+if( (((x1895.value)*(((((0.02075)*cj4))+((npz*sj4)))))) < -1-IKFAST_SINCOS_THRESH || (((x1895.value)*(((((0.02075)*cj4))+((npz*sj4)))))) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+IkReal x1893=IKasin(((x1895.value)*(((((0.02075)*cj4))+((npz*sj4))))));
+j5array[0]=((((-1.0)*x1893))+(((-1.0)*x1892)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+x1893+(((-1.0)*x1892)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+
+{
+IkReal j3eval[1];
+j3eval[0]=cj4;
+if( IKabs(j3eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j3eval[1];
+j3eval[0]=sj4;
+if( IKabs(j3eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j4))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((-2.40384615384615)*npz)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.06022025443412)+(((4.06055093555094)*pp)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-2.40384615384615)*npz))+IKsqr(((-1.06022025443412)+(((4.06055093555094)*pp))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((-2.40384615384615)*npz), ((-1.06022025443412)+(((4.06055093555094)*pp))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[3];
+IkReal x1896=IKcos(j3);
+evalcond[0]=((-0.2611025625)+(((-0.246272)*x1896))+pp);
+evalcond[1]=((((-1.0)*npz))+(((-0.416)*(IKsin(j3)))));
+evalcond[2]=((-0.296)+(((-1.0)*cj5*npy))+(((-1.0)*npx*sj5))+(((-0.416)*x1896)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j4)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((2.40384615384615)*npz)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.06022025443412)+(((4.06055093555094)*pp)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((2.40384615384615)*npz))+IKsqr(((-1.06022025443412)+(((4.06055093555094)*pp))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((2.40384615384615)*npz), ((-1.06022025443412)+(((4.06055093555094)*pp))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[3];
+IkReal x1897=IKcos(j3);
+evalcond[0]=((-0.2611025625)+(((-0.246272)*x1897))+pp);
+evalcond[1]=((((-1.0)*npz))+(((0.416)*(IKsin(j3)))));
+evalcond[2]=((-0.296)+(((-1.0)*cj5*npy))+(((-1.0)*npx*sj5))+(((-0.416)*x1897)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j4)))), 6.28318530717959)));
+evalcond[1]=npz;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+IkReal x1898=(cj5*npx);
+IkReal x1899=(npy*sj5);
+if( IKabs(((0.0498798076923077)+(((-2.40384615384615)*x1898))+(((2.40384615384615)*x1899)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.05672361250975)+(((-0.168512863825364)*x1898))+(((4.06055093555094)*pp))+(((0.168512863825364)*x1899)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.0498798076923077)+(((-2.40384615384615)*x1898))+(((2.40384615384615)*x1899))))+IKsqr(((-1.05672361250975)+(((-0.168512863825364)*x1898))+(((4.06055093555094)*pp))+(((0.168512863825364)*x1899))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((0.0498798076923077)+(((-2.40384615384615)*x1898))+(((2.40384615384615)*x1899))), ((-1.05672361250975)+(((-0.168512863825364)*x1898))+(((4.06055093555094)*pp))+(((0.168512863825364)*x1899))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[4];
+IkReal x1900=IKsin(j3);
+IkReal x1901=IKcos(j3);
+IkReal x1902=(cj5*npx);
+IkReal x1903=(npy*sj5);
+IkReal x1904=((0.246272)*x1901);
+evalcond[0]=((-0.2611025625)+(((0.017264)*x1900))+pp+(((-1.0)*x1904)));
+evalcond[1]=((0.02075)+(((-0.416)*x1900))+(((-1.0)*x1902))+x1903);
+evalcond[2]=((-0.296)+(((-0.416)*x1901))+(((-1.0)*cj5*npy))+(((-1.0)*npx*sj5)));
+evalcond[3]=((-0.2602414375)+(((0.0415)*x1903))+(((-0.0415)*x1902))+pp+(((-1.0)*x1904)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j4)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+IkReal x1905=(cj5*npx);
+IkReal x1906=(npy*sj5);
+if( IKabs(((-0.0498798076923077)+(((2.40384615384615)*x1905))+(((-2.40384615384615)*x1906)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.05672361250975)+(((4.06055093555094)*pp))+(((-0.168512863825364)*x1905))+(((0.168512863825364)*x1906)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.0498798076923077)+(((2.40384615384615)*x1905))+(((-2.40384615384615)*x1906))))+IKsqr(((-1.05672361250975)+(((4.06055093555094)*pp))+(((-0.168512863825364)*x1905))+(((0.168512863825364)*x1906))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((-0.0498798076923077)+(((2.40384615384615)*x1905))+(((-2.40384615384615)*x1906))), ((-1.05672361250975)+(((4.06055093555094)*pp))+(((-0.168512863825364)*x1905))+(((0.168512863825364)*x1906))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[4];
+IkReal x1907=IKsin(j3);
+IkReal x1908=IKcos(j3);
+IkReal x1909=(cj5*npx);
+IkReal x1910=(npy*sj5);
+IkReal x1911=((0.246272)*x1908);
+evalcond[0]=((-0.2611025625)+(((-0.017264)*x1907))+pp+(((-1.0)*x1911)));
+evalcond[1]=((0.02075)+(((0.416)*x1907))+(((-1.0)*x1909))+x1910);
+evalcond[2]=((-0.296)+(((-0.416)*x1908))+(((-1.0)*cj5*npy))+(((-1.0)*npx*sj5)));
+evalcond[3]=((-0.2602414375)+(((-0.0415)*x1909))+pp+(((0.0415)*x1910))+(((-1.0)*x1911)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j3]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+IkReal x1912=(npx*sj5);
+IkReal x1913=(cj5*npy);
+CheckValue<IkReal> x1914=IKPowWithIntegerCheck(sj4,-1);
+if(!x1914.valid){
+continue;
+}
+if( IKabs(((0.00092678405931418)*(x1914.value)*(((5366.91015625)+(((-37000.0)*x1912))+(((-37000.0)*x1913))+(((-62500.0)*pp)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.711538461538462)+(((-2.40384615384615)*x1912))+(((-2.40384615384615)*x1913)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.00092678405931418)*(x1914.value)*(((5366.91015625)+(((-37000.0)*x1912))+(((-37000.0)*x1913))+(((-62500.0)*pp))))))+IKsqr(((-0.711538461538462)+(((-2.40384615384615)*x1912))+(((-2.40384615384615)*x1913))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((0.00092678405931418)*(x1914.value)*(((5366.91015625)+(((-37000.0)*x1912))+(((-37000.0)*x1913))+(((-62500.0)*pp))))), ((-0.711538461538462)+(((-2.40384615384615)*x1912))+(((-2.40384615384615)*x1913))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[6];
+IkReal x1915=IKsin(j3);
+IkReal x1916=IKcos(j3);
+IkReal x1917=(cj5*npx);
+IkReal x1918=((1.0)*npz);
+IkReal x1919=(npy*sj5);
+IkReal x1920=((0.246272)*x1916);
+IkReal x1921=((0.416)*x1915);
+evalcond[0]=((((-1.0)*cj4*x1921))+(((-1.0)*x1918)));
+evalcond[1]=((-0.2611025625)+(((-1.0)*x1920))+pp+(((0.017264)*sj4*x1915)));
+evalcond[2]=((-0.296)+(((-1.0)*cj5*npy))+(((-1.0)*npx*sj5))+(((-0.416)*x1916)));
+evalcond[3]=((0.02075)+(((-1.0)*sj4*x1921))+(((-1.0)*x1917))+x1919);
+evalcond[4]=((-0.2602414375)+(((-1.0)*x1920))+pp+(((-0.0415)*x1917))+(((0.0415)*x1919)));
+evalcond[5]=((((-1.0)*cj4*x1918))+((sj4*x1919))+(((-1.0)*x1921))+(((-1.0)*sj4*x1917))+(((0.02075)*sj4)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+CheckValue<IkReal> x1922=IKPowWithIntegerCheck(cj4,-1);
+if(!x1922.valid){
+continue;
+}
+if( IKabs(((-2.40384615384615)*npz*(x1922.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.711538461538462)+(((-2.40384615384615)*cj5*npy))+(((-2.40384615384615)*npx*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-2.40384615384615)*npz*(x1922.value)))+IKsqr(((-0.711538461538462)+(((-2.40384615384615)*cj5*npy))+(((-2.40384615384615)*npx*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((-2.40384615384615)*npz*(x1922.value)), ((-0.711538461538462)+(((-2.40384615384615)*cj5*npy))+(((-2.40384615384615)*npx*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[6];
+IkReal x1923=IKsin(j3);
+IkReal x1924=IKcos(j3);
+IkReal x1925=(cj5*npx);
+IkReal x1926=((1.0)*npz);
+IkReal x1927=(npy*sj5);
+IkReal x1928=((0.246272)*x1924);
+IkReal x1929=((0.416)*x1923);
+evalcond[0]=((((-1.0)*cj4*x1929))+(((-1.0)*x1926)));
+evalcond[1]=((-0.2611025625)+(((-1.0)*x1928))+pp+(((0.017264)*sj4*x1923)));
+evalcond[2]=((-0.296)+(((-0.416)*x1924))+(((-1.0)*cj5*npy))+(((-1.0)*npx*sj5)));
+evalcond[3]=((0.02075)+(((-1.0)*x1925))+(((-1.0)*sj4*x1929))+x1927);
+evalcond[4]=((-0.2602414375)+(((-0.0415)*x1925))+(((-1.0)*x1928))+pp+(((0.0415)*x1927)));
+evalcond[5]=(((sj4*x1927))+(((-1.0)*sj4*x1925))+(((-1.0)*cj4*x1926))+(((-1.0)*x1929))+(((0.02075)*sj4)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+CheckValue<IkReal> x1931=IKPowWithIntegerCheck(cj4,-1);
+if(!x1931.valid){
+continue;
+}
+IkReal x1930=x1931.value;
+if( IKabs(((-2.40384615384615)*npz*x1930)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((1.62422037422037e-5)*x1930*(((((-10375.0)*npz*sj4))+(((-65275.640625)*cj4))+(((250000.0)*cj4*pp)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-2.40384615384615)*npz*x1930))+IKsqr(((1.62422037422037e-5)*x1930*(((((-10375.0)*npz*sj4))+(((-65275.640625)*cj4))+(((250000.0)*cj4*pp))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((-2.40384615384615)*npz*x1930), ((1.62422037422037e-5)*x1930*(((((-10375.0)*npz*sj4))+(((-65275.640625)*cj4))+(((250000.0)*cj4*pp))))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[2];
+IkReal x1932=IKsin(j3);
+evalcond[0]=((((-0.416)*cj4*x1932))+(((-1.0)*npz)));
+evalcond[1]=((-0.2611025625)+pp+(((-0.246272)*(IKcos(j3))))+(((0.017264)*sj4*x1932)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j5eval[3];
+IkReal x1933=((0.416)*cj3);
+IkReal x1934=((0.416)*sj3*sj4);
+IkReal x1935=((npx*npx)+(npy*npy));
+j5eval[0]=x1935;
+j5eval[1]=((IKabs(((((-0.02075)*npy))+(((-1.0)*npx*x1933))+(((-0.296)*npx))+((npy*x1934)))))+(IKabs(((((0.02075)*npx))+(((-1.0)*npx*x1934))+(((-0.296)*npy))+(((-1.0)*npy*x1933))))));
+j5eval[2]=IKsign(x1935);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+IkReal x1936=(npz*sj4);
+IkReal x1937=(cj4*npy);
+IkReal x1938=((0.416)*cj3);
+IkReal x1939=(cj4*npx);
+IkReal x1940=(((npx*x1939))+((npy*x1937)));
+j5eval[0]=x1940;
+j5eval[1]=((IKabs(((((-1.0)*x1937*x1938))+(((0.02075)*x1939))+((npx*x1936))+(((-0.296)*x1937)))))+(IKabs(((((-0.02075)*x1937))+(((-1.0)*npy*x1936))+(((-0.296)*x1939))+(((-1.0)*x1938*x1939))))));
+j5eval[2]=IKsign(x1940);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+IkReal x1941=npx*npx;
+IkReal x1942=npy*npy;
+IkReal x1943=(cj3*npy);
+IkReal x1944=(cj3*npx);
+IkReal x1945=((2000.0)*pp);
+j5eval[0]=(x1942+x1941);
+j5eval[1]=IKsign(((((83.0)*x1942))+(((83.0)*x1941))));
+j5eval[2]=((IKabs(((((-1.0)*npy*x1945))+(((-24.568)*npx))+(((492.544)*x1943))+(((520.482875)*npy))+(((-34.528)*x1944)))))+(IKabs(((((-520.482875)*npx))+((npx*x1945))+(((-492.544)*x1944))+(((-24.568)*npy))+(((-34.528)*x1943))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j4)))), 6.28318530717959)));
+evalcond[1]=npz;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+sj4=1.0;
+cj4=0;
+j4=1.5707963267949;
+IkReal x1946=((0.416)*cj3);
+IkReal x1947=((0.416)*sj3);
+IkReal x1948=((npx*npx)+(npy*npy));
+j5eval[0]=x1948;
+j5eval[1]=((IKabs(((((-1.0)*npx*x1947))+(((-1.0)*npy*x1946))+(((0.02075)*npx))+(((-0.296)*npy)))))+(IKabs(((((-1.0)*npx*x1946))+(((-0.02075)*npy))+((npy*x1947))+(((-0.296)*npx))))));
+j5eval[2]=IKsign(x1948);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+sj4=1.0;
+cj4=0;
+j4=1.5707963267949;
+IkReal x1949=npx*npx;
+IkReal x1950=npy*npy;
+IkReal x1951=(cj3*npy);
+IkReal x1952=(cj3*npx);
+IkReal x1953=((2000.0)*pp);
+j5eval[0]=(x1949+x1950);
+j5eval[1]=IKsign(((((83.0)*x1950))+(((83.0)*x1949))));
+j5eval[2]=((IKabs(((((-1.0)*npy*x1953))+(((492.544)*x1951))+(((-24.568)*npx))+(((520.482875)*npy))+(((-34.528)*x1952)))))+(IKabs((((npx*x1953))+(((-520.482875)*npx))+(((-492.544)*x1952))+(((-24.568)*npy))+(((-34.528)*x1951))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1954=(cj3*npy);
+IkReal x1955=(cj3*npx);
+IkReal x1956=((2000.0)*pp);
+CheckValue<IkReal> x1957=IKPowWithIntegerCheck(IKsign(((((83.0)*(npx*npx)))+(((83.0)*(npy*npy))))),-1);
+if(!x1957.valid){
+continue;
+}
+CheckValue<IkReal> x1958 = IKatan2WithCheck(IkReal(((((-1.0)*npy*x1956))+(((492.544)*x1954))+(((-24.568)*npx))+(((520.482875)*npy))+(((-34.528)*x1955)))),IkReal((((npx*x1956))+(((-520.482875)*npx))+(((-492.544)*x1955))+(((-24.568)*npy))+(((-34.528)*x1954)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1958.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1957.value)))+(x1958.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1959=IKcos(j5);
+IkReal x1960=IKsin(j5);
+IkReal x1961=((1.0)*x1959);
+IkReal x1962=(npy*x1960);
+evalcond[0]=((0.02075)+(((-0.416)*sj3))+(((-1.0)*npx*x1961))+x1962);
+evalcond[1]=((-0.296)+(((-1.0)*npx*x1960))+(((-1.0)*npy*x1961))+(((-0.416)*cj3)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x1962))+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x1959)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1963=((0.416)*cj3);
+IkReal x1964=((0.416)*sj3);
+CheckValue<IkReal> x1965 = IKatan2WithCheck(IkReal(((((-1.0)*npx*x1963))+(((-0.02075)*npy))+((npy*x1964))+(((-0.296)*npx)))),IkReal(((((-1.0)*npx*x1964))+(((-1.0)*npy*x1963))+(((0.02075)*npx))+(((-0.296)*npy)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1965.valid){
+continue;
+}
+CheckValue<IkReal> x1966=IKPowWithIntegerCheck(IKsign(((npx*npx)+(npy*npy))),-1);
+if(!x1966.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1965.value)+(((1.5707963267949)*(x1966.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1967=IKcos(j5);
+IkReal x1968=IKsin(j5);
+IkReal x1969=((1.0)*x1967);
+IkReal x1970=(npy*x1968);
+evalcond[0]=((0.02075)+(((-0.416)*sj3))+(((-1.0)*npx*x1969))+x1970);
+evalcond[1]=((-0.296)+(((-1.0)*npx*x1968))+(((-1.0)*npy*x1969))+(((-0.416)*cj3)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x1970))+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x1967)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j4)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+sj4=-1.0;
+cj4=0;
+j4=-1.5707963267949;
+IkReal x1971=((0.416)*cj3);
+IkReal x1972=((0.416)*sj3);
+IkReal x1973=((npx*npx)+(npy*npy));
+j5eval[0]=x1973;
+j5eval[1]=IKsign(x1973);
+j5eval[2]=((IKabs(((((-1.0)*npx*x1971))+(((-1.0)*npy*x1972))+(((-0.02075)*npy))+(((-0.296)*npx)))))+(IKabs(((((-1.0)*npy*x1971))+((npx*x1972))+(((0.02075)*npx))+(((-0.296)*npy))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+sj4=-1.0;
+cj4=0;
+j4=-1.5707963267949;
+IkReal x1974=npx*npx;
+IkReal x1975=npy*npy;
+IkReal x1976=(cj3*npy);
+IkReal x1977=(cj3*npx);
+IkReal x1978=((2000.0)*pp);
+j5eval[0]=(x1975+x1974);
+j5eval[1]=IKsign(((((83.0)*x1974))+(((83.0)*x1975))));
+j5eval[2]=((IKabs(((((-34.528)*x1976))+(((-520.482875)*npx))+((npx*x1978))+(((-492.544)*x1977))+(((-24.568)*npy)))))+(IKabs(((((-34.528)*x1977))+(((-1.0)*npy*x1978))+(((492.544)*x1976))+(((-24.568)*npx))+(((520.482875)*npy))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1979=(cj3*npy);
+IkReal x1980=(cj3*npx);
+IkReal x1981=((2000.0)*pp);
+CheckValue<IkReal> x1982 = IKatan2WithCheck(IkReal(((((492.544)*x1979))+(((-1.0)*npy*x1981))+(((-24.568)*npx))+(((-34.528)*x1980))+(((520.482875)*npy)))),IkReal(((((-34.528)*x1979))+(((-520.482875)*npx))+((npx*x1981))+(((-492.544)*x1980))+(((-24.568)*npy)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1982.valid){
+continue;
+}
+CheckValue<IkReal> x1983=IKPowWithIntegerCheck(IKsign(((((83.0)*(npx*npx)))+(((83.0)*(npy*npy))))),-1);
+if(!x1983.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1982.value)+(((1.5707963267949)*(x1983.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1984=IKcos(j5);
+IkReal x1985=IKsin(j5);
+IkReal x1986=((1.0)*x1984);
+IkReal x1987=(npy*x1985);
+evalcond[0]=((0.02075)+x1987+(((-1.0)*npx*x1986))+(((0.416)*sj3)));
+evalcond[1]=((-0.296)+(((-0.416)*cj3))+(((-1.0)*npy*x1986))+(((-1.0)*npx*x1985)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x1987))+(((-0.0415)*npx*x1984))+(((-0.246272)*cj3))+pp);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1988=((0.416)*cj3);
+IkReal x1989=((0.416)*sj3);
+CheckValue<IkReal> x1990 = IKatan2WithCheck(IkReal(((((-0.02075)*npy))+(((-1.0)*npy*x1989))+(((-1.0)*npx*x1988))+(((-0.296)*npx)))),IkReal((((npx*x1989))+(((0.02075)*npx))+(((-1.0)*npy*x1988))+(((-0.296)*npy)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1990.valid){
+continue;
+}
+CheckValue<IkReal> x1991=IKPowWithIntegerCheck(IKsign(((npx*npx)+(npy*npy))),-1);
+if(!x1991.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1990.value)+(((1.5707963267949)*(x1991.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x1992=IKcos(j5);
+IkReal x1993=IKsin(j5);
+IkReal x1994=((1.0)*x1992);
+IkReal x1995=(npy*x1993);
+evalcond[0]=((0.02075)+(((-1.0)*npx*x1994))+x1995+(((0.416)*sj3)));
+evalcond[1]=((-0.296)+(((-1.0)*npy*x1994))+(((-1.0)*npx*x1993))+(((-0.416)*cj3)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x1995))+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x1992)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1996=(cj3*npy);
+IkReal x1997=(cj3*npx);
+IkReal x1998=((2000.0)*pp);
+CheckValue<IkReal> x1999 = IKatan2WithCheck(IkReal(((((-1.0)*npy*x1998))+(((-24.568)*npx))+(((-34.528)*x1997))+(((520.482875)*npy))+(((492.544)*x1996)))),IkReal(((((-520.482875)*npx))+(((-24.568)*npy))+(((-492.544)*x1997))+(((-34.528)*x1996))+((npx*x1998)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1999.valid){
+continue;
+}
+CheckValue<IkReal> x2000=IKPowWithIntegerCheck(IKsign(((((83.0)*(npx*npx)))+(((83.0)*(npy*npy))))),-1);
+if(!x2000.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1999.value)+(((1.5707963267949)*(x2000.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[5];
+IkReal x2001=IKsin(j5);
+IkReal x2002=IKcos(j5);
+IkReal x2003=((0.416)*sj3);
+IkReal x2004=(npy*x2001);
+IkReal x2005=((1.0)*x2002);
+evalcond[0]=((-0.296)+(((-0.416)*cj3))+(((-1.0)*npx*x2001))+(((-1.0)*npy*x2005)));
+evalcond[1]=((0.02075)+(((-1.0)*npx*x2005))+x2004+(((-1.0)*sj4*x2003)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x2004))+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x2002)));
+evalcond[3]=(((cj4*x2004))+(((0.02075)*cj4))+((npz*sj4))+(((-1.0)*cj4*npx*x2005)));
+evalcond[4]=((((-1.0)*cj4*npz))+(((-1.0)*x2003))+(((-1.0)*npx*sj4*x2005))+((sj4*x2004))+(((0.02075)*sj4)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2006=(npz*sj4);
+IkReal x2007=(cj4*npy);
+IkReal x2008=((0.416)*cj3);
+IkReal x2009=(cj4*npx);
+CheckValue<IkReal> x2010=IKPowWithIntegerCheck(IKsign((((npy*x2007))+((npx*x2009)))),-1);
+if(!x2010.valid){
+continue;
+}
+CheckValue<IkReal> x2011 = IKatan2WithCheck(IkReal(((((-1.0)*npy*x2006))+(((-1.0)*x2008*x2009))+(((-0.296)*x2009))+(((-0.02075)*x2007)))),IkReal(((((-1.0)*x2007*x2008))+(((-0.296)*x2007))+(((0.02075)*x2009))+((npx*x2006)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2011.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x2010.value)))+(x2011.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[5];
+IkReal x2012=IKsin(j5);
+IkReal x2013=IKcos(j5);
+IkReal x2014=((0.416)*sj3);
+IkReal x2015=(npy*x2012);
+IkReal x2016=((1.0)*x2013);
+evalcond[0]=((-0.296)+(((-0.416)*cj3))+(((-1.0)*npx*x2012))+(((-1.0)*npy*x2016)));
+evalcond[1]=((0.02075)+x2015+(((-1.0)*npx*x2016))+(((-1.0)*sj4*x2014)));
+evalcond[2]=((-0.2602414375)+(((-0.0415)*npx*x2013))+(((0.0415)*x2015))+(((-0.246272)*cj3))+pp);
+evalcond[3]=((((0.02075)*cj4))+((npz*sj4))+(((-1.0)*cj4*npx*x2016))+((cj4*x2015)));
+evalcond[4]=((((-1.0)*x2014))+((sj4*x2015))+(((-1.0)*cj4*npz))+(((0.02075)*sj4))+(((-1.0)*npx*sj4*x2016)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2017=((0.416)*cj3);
+IkReal x2018=((0.416)*sj3*sj4);
+CheckValue<IkReal> x2019 = IKatan2WithCheck(IkReal(((((-0.02075)*npy))+(((-1.0)*npx*x2017))+(((-0.296)*npx))+((npy*x2018)))),IkReal(((((0.02075)*npx))+(((-1.0)*npx*x2018))+(((-1.0)*npy*x2017))+(((-0.296)*npy)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2019.valid){
+continue;
+}
+CheckValue<IkReal> x2020=IKPowWithIntegerCheck(IKsign(((npx*npx)+(npy*npy))),-1);
+if(!x2020.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2019.value)+(((1.5707963267949)*(x2020.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[5];
+IkReal x2021=IKsin(j5);
+IkReal x2022=IKcos(j5);
+IkReal x2023=((0.416)*sj3);
+IkReal x2024=(npy*x2021);
+IkReal x2025=((1.0)*x2022);
+evalcond[0]=((-0.296)+(((-1.0)*npx*x2021))+(((-0.416)*cj3))+(((-1.0)*npy*x2025)));
+evalcond[1]=((0.02075)+x2024+(((-1.0)*sj4*x2023))+(((-1.0)*npx*x2025)));
+evalcond[2]=((-0.2602414375)+(((0.0415)*x2024))+(((-0.246272)*cj3))+pp+(((-0.0415)*npx*x2022)));
+evalcond[3]=((((-1.0)*cj4*npx*x2025))+((cj4*x2024))+(((0.02075)*cj4))+((npz*sj4)));
+evalcond[4]=((((-1.0)*cj4*npz))+(((-1.0)*npx*sj4*x2025))+(((-1.0)*x2023))+(((0.02075)*sj4))+((sj4*x2024)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+}
+}
+
+}
+
+}
+ }
+
+}
+
+}
+}
+return solutions.GetNumSolutions()>0;
+}
+inline void rotationfunction0(IkSolutionListBase<IkReal>& solutions) {
+for(int rotationiter = 0; rotationiter < 1; ++rotationiter) {
+IkReal x91=((1.0)*sj3);
+IkReal x92=((1.0)*sj5);
+IkReal x93=((1.0)*cj5);
+IkReal x94=((1.0)*sj4);
+IkReal x95=((((-1.0)*r01*x92))+((cj5*r00)));
+IkReal x96=(((cj5*r10))+(((-1.0)*r11*x92)));
+IkReal x97=(((cj5*r20))+(((-1.0)*r21*x92)));
+IkReal x98=((((-1.0)*r01*x93))+(((-1.0)*r00*x92)));
+IkReal x99=((((-1.0)*r11*x93))+(((-1.0)*r10*x92)));
+IkReal x100=((((-1.0)*r21*x93))+(((-1.0)*r20*x92)));
+IkReal x101=(((sj4*x95))+((cj4*r02)));
+IkReal x102=(((sj4*x96))+((cj4*r12)));
+IkReal x103=(((cj4*r22))+((sj4*x97)));
+new_r00=(((cj4*x95))+(((-1.0)*r02*x94)));
+new_r01=(((sj3*x98))+((cj3*x101)));
+new_r02=(((cj3*x98))+(((-1.0)*x101*x91)));
+new_r10=((((-1.0)*r12*x94))+((cj4*x96)));
+new_r11=(((sj3*x99))+((cj3*x102)));
+new_r12=((((-1.0)*x102*x91))+((cj3*x99)));
+new_r20=((((-1.0)*r22*x94))+((cj4*x97)));
+new_r21=(((cj3*x103))+((sj3*x100)));
+new_r22=((((-1.0)*x103*x91))+((cj3*x100)));
+{
+IkReal j1array[2], cj1array[2], sj1array[2];
+bool j1valid[2]={false};
+_nj1 = 2;
+sj1array[0]=new_r22;
+if( sj1array[0] >= -1-IKFAST_SINCOS_THRESH && sj1array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j1valid[0] = j1valid[1] = true;
+ j1array[0] = IKasin(sj1array[0]);
+ cj1array[0] = IKcos(j1array[0]);
+ sj1array[1] = sj1array[0];
+ j1array[1] = j1array[0] > 0 ? (IKPI-j1array[0]) : (-IKPI-j1array[0]);
+ cj1array[1] = -cj1array[0];
+}
+else if( isnan(sj1array[0]) )
+{
+ // probably any value will work
+ j1valid[0] = true;
+ cj1array[0] = 1; sj1array[0] = 0; j1array[0] = 0;
+}
+for(int ij1 = 0; ij1 < 2; ++ij1)
+{
+if( !j1valid[ij1] )
+{
+ continue;
+}
+_ij1[0] = ij1; _ij1[1] = -1;
+for(int iij1 = ij1+1; iij1 < 2; ++iij1)
+{
+if( j1valid[iij1] && IKabs(cj1array[ij1]-cj1array[iij1]) < IKFAST_SOLUTION_THRESH && IKabs(sj1array[ij1]-sj1array[iij1]) < IKFAST_SOLUTION_THRESH )
+{
+ j1valid[iij1]=false; _ij1[1] = iij1; break;
+}
+}
+j1 = j1array[ij1]; cj1 = cj1array[ij1]; sj1 = sj1array[ij1];
+
+{
+IkReal j0eval[3];
+j0eval[0]=cj1;
+j0eval[1]=IKsign(cj1);
+j0eval[2]=((IKabs(new_r12))+(IKabs(new_r02)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[3];
+j2eval[0]=cj1;
+j2eval[1]=IKsign(cj1);
+j2eval[2]=((IKabs(new_r20))+(IKabs(new_r21)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 || IKabs(j2eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+j0eval[0]=cj1;
+j0eval[1]=new_r12;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+IkReal j2mul = 1;
+j2=0;
+j0mul=-1.0;
+if( IKabs(((-1.0)*new_r00)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r00))+IKsqr(((-1.0)*new_r01))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0=IKatan2(((-1.0)*new_r00), ((-1.0)*new_r01));
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].fmul = j0mul;
+vinfos[0].freeind = 0;
+vinfos[0].maxsolutions = 0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].fmul = j2mul;
+vinfos[2].freeind = 0;
+vinfos[2].maxsolutions = 0;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(1);
+vfree[0] = 2;
+solutions.AddSolution(vinfos,vfree);
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+IkReal j2mul = 1;
+j2=0;
+j0mul=1.0;
+if( IKabs(((-1.0)*new_r00)) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r01) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r00))+IKsqr(new_r01)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0=IKatan2(((-1.0)*new_r00), new_r01);
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].fmul = j0mul;
+vinfos[0].freeind = 0;
+vinfos[0].maxsolutions = 0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].fmul = j2mul;
+vinfos[2].freeind = 0;
+vinfos[2].maxsolutions = 0;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(1);
+vfree[0] = 2;
+solutions.AddSolution(vinfos,vfree);
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r12))+(IKabs(new_r02)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x104=new_r22*new_r22;
+IkReal x105=((16.0)*new_r11);
+IkReal x106=((16.0)*new_r00);
+IkReal x107=((16.0)*new_r01);
+IkReal x108=(new_r10*new_r22);
+IkReal x109=((8.0)*new_r01);
+IkReal x110=((16.0)*x104);
+IkReal x111=(x104*x105);
+IkReal x112=(x104*x106);
+j0eval[0]=((IKabs(((((-1.0)*x106))+x112)))+(IKabs(((((32.0)*new_r10))+(((-1.0)*new_r10*x110))+((new_r22*x107)))))+(IKabs((((new_r22*x109))+(((8.0)*new_r10*x104)))))+(IKabs((x109+(((8.0)*x108)))))+(IKabs(((((-1.0)*x105))+x111)))+(IKabs(((((-1.0)*x112))+x106)))+(IKabs(((((32.0)*new_r01*x104))+(((16.0)*x108))+(((-1.0)*x107)))))+(IKabs(((((-1.0)*x111))+x105))));
+if( IKabs(j0eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j0, j2]
+
+} else
+{
+IkReal op[4+1], zeror[4];
+int numroots;
+IkReal j0evalpoly[1];
+IkReal x113=new_r22*new_r22;
+IkReal x114=((16.0)*new_r11);
+IkReal x115=(new_r10*new_r22);
+IkReal x116=(x113*x114);
+IkReal x117=((((8.0)*x115))+(((8.0)*new_r01)));
+op[0]=x117;
+op[1]=((((-1.0)*x114))+x116);
+op[2]=((((16.0)*x115))+(((-16.0)*new_r01))+(((32.0)*new_r01*x113)));
+op[3]=((((-1.0)*x116))+x114);
+op[4]=x117;
+polyroots4(op,zeror,numroots);
+IkReal j0array[4], cj0array[4], sj0array[4], tempj0array[1];
+int numsolutions = 0;
+for(int ij0 = 0; ij0 < numroots; ++ij0)
+{
+IkReal htj0 = zeror[ij0];
+tempj0array[0]=((2.0)*(atan(htj0)));
+for(int kj0 = 0; kj0 < 1; ++kj0)
+{
+j0array[numsolutions] = tempj0array[kj0];
+if( j0array[numsolutions] > IKPI )
+{
+ j0array[numsolutions]-=IK2PI;
+}
+else if( j0array[numsolutions] < -IKPI )
+{
+ j0array[numsolutions]+=IK2PI;
+}
+sj0array[numsolutions] = IKsin(j0array[numsolutions]);
+cj0array[numsolutions] = IKcos(j0array[numsolutions]);
+numsolutions++;
+}
+}
+bool j0valid[4]={true,true,true,true};
+_nj0 = 4;
+for(int ij0 = 0; ij0 < numsolutions; ++ij0)
+ {
+if( !j0valid[ij0] )
+{
+ continue;
+}
+ j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+htj0 = IKtan(j0/2);
+
+IkReal x118=new_r22*new_r22;
+IkReal x119=((16.0)*new_r00);
+IkReal x120=(new_r01*new_r22);
+IkReal x121=((8.0)*x120);
+IkReal x122=((16.0)*x118);
+IkReal x123=(x118*x119);
+IkReal x124=((8.0)*new_r10*x118);
+IkReal x125=(x124+x121);
+j0evalpoly[0]=((((htj0*htj0)*(((((16.0)*x120))+(((32.0)*new_r10))+(((-1.0)*new_r10*x122))))))+((x125*(htj0*htj0*htj0*htj0)))+x125+(((htj0*htj0*htj0)*(((((-1.0)*x119))+x123))))+((htj0*(((((-1.0)*x123))+x119)))));
+if( IKabs(j0evalpoly[0]) > 0.0000001000000000 )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < numsolutions; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+{
+IkReal j2eval[3];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x126=cj0*cj0;
+IkReal x127=((1.0)*new_r00);
+IkReal x128=(cj0*new_r22);
+IkReal x129=((1.0)+((x126*(new_r22*new_r22)))+(((-1.0)*x126)));
+j2eval[0]=x129;
+j2eval[1]=((IKabs((((new_r01*sj0))+(((-1.0)*x127*x128)))))+(IKabs(((((-1.0)*new_r01*x128))+(((-1.0)*sj0*x127))))));
+j2eval[2]=IKsign(x129);
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 || IKabs(j2eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j2eval[0]=new_r22;
+if( IKabs(j2eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[2];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x130=new_r22*new_r22;
+j2eval[0]=(((cj0*x130))+(((-1.0)*cj0)));
+j2eval[1]=((((-1.0)*sj0))+((sj0*x130)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j0)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(new_r01) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r00)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r01)+IKsqr(((-1.0)*new_r00))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(new_r01, ((-1.0)*new_r00));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[4];
+IkReal x131=IKcos(j2);
+IkReal x132=IKsin(j2);
+evalcond[0]=(x131+new_r00);
+evalcond[1]=((-1.0)*x132);
+evalcond[2]=((-1.0)*x131);
+evalcond[3]=(x132+(((-1.0)*new_r01)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j0)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(((-1.0)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r00) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r01))+IKsqr(new_r00)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r01), new_r00);
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[4];
+IkReal x133=IKsin(j2);
+IkReal x134=IKcos(j2);
+evalcond[0]=(x133+new_r01);
+evalcond[1]=((-1.0)*x133);
+evalcond[2]=((-1.0)*x134);
+evalcond[3]=(x134+(((-1.0)*new_r00)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j0))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(((-1.0)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r10) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11))+IKsqr(new_r10)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r11), new_r10);
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[4];
+IkReal x135=IKsin(j2);
+IkReal x136=IKcos(j2);
+evalcond[0]=(x135+new_r11);
+evalcond[1]=((-1.0)*x135);
+evalcond[2]=((-1.0)*x136);
+evalcond[3]=(x136+(((-1.0)*new_r10)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j0)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(new_r11) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r11)+IKsqr(((-1.0)*new_r10))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(new_r11, ((-1.0)*new_r10));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[4];
+IkReal x137=IKcos(j2);
+IkReal x138=IKsin(j2);
+evalcond[0]=(x137+new_r10);
+evalcond[1]=((-1.0)*x138);
+evalcond[2]=((-1.0)*x137);
+evalcond[3]=(x138+(((-1.0)*new_r11)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+CheckValue<IkReal> x139=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x139.valid){
+continue;
+}
+if((((-1.0)*(x139.value))) < -0.00001)
+continue;
+IkReal gconst40=((-1.0)*(IKsqrt(((-1.0)*(x139.value)))));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((((-1.0)*gconst40))+cj0)))+(IKabs(((-1.0)+(IKsign(sj0)))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+if((((1.0)+(((-1.0)*(gconst40*gconst40))))) < -0.00001)
+continue;
+sj0=IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40)))));
+cj0=gconst40;
+if( (gconst40) < -1-IKFAST_SINCOS_THRESH || (gconst40) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j0=IKacos(gconst40);
+CheckValue<IkReal> x140=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x140.valid){
+continue;
+}
+if((((-1.0)*(x140.value))) < -0.00001)
+continue;
+IkReal gconst40=((-1.0)*(IKsqrt(((-1.0)*(x140.value)))));
+j2eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x141=IKPowWithIntegerCheck(gconst40,-1);
+if(!x141.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst40*gconst40))))) < -0.00001)
+continue;
+if( IKabs(((-1.0)*new_r11*(x141.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((((-1.0)*new_r00*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40))))))))+((gconst40*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11*(x141.value)))+IKsqr(((((-1.0)*new_r00*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40))))))))+((gconst40*new_r10))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r11*(x141.value)), ((((-1.0)*new_r00*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40))))))))+((gconst40*new_r10))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x142=IKsin(j2);
+IkReal x143=IKcos(j2);
+IkReal x144=((1.0)*gconst40);
+if((((1.0)+(((-1.0)*gconst40*x144)))) < -0.00001)
+continue;
+IkReal x145=IKsqrt(((1.0)+(((-1.0)*gconst40*x144))));
+IkReal x146=((1.0)*x145);
+evalcond[0]=((-1.0)*x142);
+evalcond[1]=((-1.0)*x143);
+evalcond[2]=(((gconst40*x142))+new_r11);
+evalcond[3]=((((-1.0)*x143*x144))+new_r10);
+evalcond[4]=(new_r00+((x143*x145)));
+evalcond[5]=((((-1.0)*x142*x146))+new_r01);
+evalcond[6]=((((-1.0)*new_r01*x146))+((gconst40*new_r11))+x142);
+evalcond[7]=(((new_r00*x145))+x143+(((-1.0)*new_r10*x144)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x147=IKPowWithIntegerCheck(IKsign(gconst40),-1);
+if(!x147.valid){
+continue;
+}
+CheckValue<IkReal> x148 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x148.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x147.value)))+(x148.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x149=IKsin(j2);
+IkReal x150=IKcos(j2);
+IkReal x151=((1.0)*gconst40);
+if((((1.0)+(((-1.0)*gconst40*x151)))) < -0.00001)
+continue;
+IkReal x152=IKsqrt(((1.0)+(((-1.0)*gconst40*x151))));
+IkReal x153=((1.0)*x152);
+evalcond[0]=((-1.0)*x149);
+evalcond[1]=((-1.0)*x150);
+evalcond[2]=(((gconst40*x149))+new_r11);
+evalcond[3]=((((-1.0)*x150*x151))+new_r10);
+evalcond[4]=(((x150*x152))+new_r00);
+evalcond[5]=(new_r01+(((-1.0)*x149*x153)));
+evalcond[6]=(((gconst40*new_r11))+x149+(((-1.0)*new_r01*x153)));
+evalcond[7]=(((new_r00*x152))+x150+(((-1.0)*new_r10*x151)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+CheckValue<IkReal> x154=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x154.valid){
+continue;
+}
+if((((-1.0)*(x154.value))) < -0.00001)
+continue;
+IkReal gconst40=((-1.0)*(IKsqrt(((-1.0)*(x154.value)))));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.0)+(IKsign(sj0)))))+(IKabs(((((-1.0)*gconst40))+cj0)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+if((((1.0)+(((-1.0)*(gconst40*gconst40))))) < -0.00001)
+continue;
+sj0=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40)))))));
+cj0=gconst40;
+if( (gconst40) < -1-IKFAST_SINCOS_THRESH || (gconst40) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j0=((-1.0)*(IKacos(gconst40)));
+CheckValue<IkReal> x155=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x155.valid){
+continue;
+}
+if((((-1.0)*(x155.value))) < -0.00001)
+continue;
+IkReal gconst40=((-1.0)*(IKsqrt(((-1.0)*(x155.value)))));
+j2eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if((((1.0)+(((-1.0)*(gconst40*gconst40))))) < -0.00001)
+continue;
+CheckValue<IkReal> x156=IKPowWithIntegerCheck(gconst40,-1);
+if(!x156.valid){
+continue;
+}
+if( IKabs(((((-1.0)*new_r01*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40))))))))+(((-1.0)*gconst40*new_r11)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r10*(x156.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r01*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40))))))))+(((-1.0)*gconst40*new_r11))))+IKsqr((new_r10*(x156.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((((-1.0)*new_r01*(IKsqrt(((1.0)+(((-1.0)*(gconst40*gconst40))))))))+(((-1.0)*gconst40*new_r11))), (new_r10*(x156.value)));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x157=IKsin(j2);
+IkReal x158=IKcos(j2);
+IkReal x159=((1.0)*gconst40);
+if((((1.0)+(((-1.0)*gconst40*x159)))) < -0.00001)
+continue;
+IkReal x160=IKsqrt(((1.0)+(((-1.0)*gconst40*x159))));
+IkReal x161=((1.0)*x160);
+evalcond[0]=((-1.0)*x157);
+evalcond[1]=((-1.0)*x158);
+evalcond[2]=(((gconst40*x157))+new_r11);
+evalcond[3]=((((-1.0)*x158*x159))+new_r10);
+evalcond[4]=(((x157*x160))+new_r01);
+evalcond[5]=((((-1.0)*x158*x161))+new_r00);
+evalcond[6]=(((new_r01*x160))+((gconst40*new_r11))+x157);
+evalcond[7]=((((-1.0)*new_r00*x161))+x158+(((-1.0)*new_r10*x159)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x162=IKPowWithIntegerCheck(IKsign(gconst40),-1);
+if(!x162.valid){
+continue;
+}
+CheckValue<IkReal> x163 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x163.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x162.value)))+(x163.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x164=IKsin(j2);
+IkReal x165=IKcos(j2);
+IkReal x166=((1.0)*gconst40);
+if((((1.0)+(((-1.0)*gconst40*x166)))) < -0.00001)
+continue;
+IkReal x167=IKsqrt(((1.0)+(((-1.0)*gconst40*x166))));
+IkReal x168=((1.0)*x167);
+evalcond[0]=((-1.0)*x164);
+evalcond[1]=((-1.0)*x165);
+evalcond[2]=(new_r11+((gconst40*x164)));
+evalcond[3]=(new_r10+(((-1.0)*x165*x166)));
+evalcond[4]=(((x164*x167))+new_r01);
+evalcond[5]=(new_r00+(((-1.0)*x165*x168)));
+evalcond[6]=(((new_r01*x167))+((gconst40*new_r11))+x164);
+evalcond[7]=((((-1.0)*new_r00*x168))+(((-1.0)*new_r10*x166))+x165);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+CheckValue<IkReal> x169=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x169.valid){
+continue;
+}
+if((((-1.0)*(x169.value))) < -0.00001)
+continue;
+IkReal gconst41=IKsqrt(((-1.0)*(x169.value)));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.0)+(IKsign(sj0)))))+(IKabs(((((-1.0)*gconst41))+cj0)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+if((((1.0)+(((-1.0)*(gconst41*gconst41))))) < -0.00001)
+continue;
+sj0=IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41)))));
+cj0=gconst41;
+if( (gconst41) < -1-IKFAST_SINCOS_THRESH || (gconst41) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j0=IKacos(gconst41);
+CheckValue<IkReal> x170=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x170.valid){
+continue;
+}
+if((((-1.0)*(x170.value))) < -0.00001)
+continue;
+IkReal gconst41=IKsqrt(((-1.0)*(x170.value)));
+j2eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x171=IKPowWithIntegerCheck(gconst41,-1);
+if(!x171.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst41*gconst41))))) < -0.00001)
+continue;
+if( IKabs(((-1.0)*new_r11*(x171.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((((-1.0)*new_r00*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41))))))))+((gconst41*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11*(x171.value)))+IKsqr(((((-1.0)*new_r00*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41))))))))+((gconst41*new_r10))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r11*(x171.value)), ((((-1.0)*new_r00*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41))))))))+((gconst41*new_r10))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x172=IKsin(j2);
+IkReal x173=IKcos(j2);
+IkReal x174=((1.0)*gconst41);
+if((((1.0)+(((-1.0)*gconst41*x174)))) < -0.00001)
+continue;
+IkReal x175=IKsqrt(((1.0)+(((-1.0)*gconst41*x174))));
+IkReal x176=((1.0)*x175);
+evalcond[0]=((-1.0)*x172);
+evalcond[1]=((-1.0)*x173);
+evalcond[2]=(new_r11+((gconst41*x172)));
+evalcond[3]=(new_r10+(((-1.0)*x173*x174)));
+evalcond[4]=(((x173*x175))+new_r00);
+evalcond[5]=(new_r01+(((-1.0)*x172*x176)));
+evalcond[6]=(((gconst41*new_r11))+x172+(((-1.0)*new_r01*x176)));
+evalcond[7]=(((new_r00*x175))+(((-1.0)*new_r10*x174))+x173);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x177=IKPowWithIntegerCheck(IKsign(gconst41),-1);
+if(!x177.valid){
+continue;
+}
+CheckValue<IkReal> x178 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x178.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x177.value)))+(x178.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x179=IKsin(j2);
+IkReal x180=IKcos(j2);
+IkReal x181=((1.0)*gconst41);
+if((((1.0)+(((-1.0)*gconst41*x181)))) < -0.00001)
+continue;
+IkReal x182=IKsqrt(((1.0)+(((-1.0)*gconst41*x181))));
+IkReal x183=((1.0)*x182);
+evalcond[0]=((-1.0)*x179);
+evalcond[1]=((-1.0)*x180);
+evalcond[2]=(new_r11+((gconst41*x179)));
+evalcond[3]=((((-1.0)*x180*x181))+new_r10);
+evalcond[4]=(((x180*x182))+new_r00);
+evalcond[5]=(new_r01+(((-1.0)*x179*x183)));
+evalcond[6]=(((gconst41*new_r11))+x179+(((-1.0)*new_r01*x183)));
+evalcond[7]=(((new_r00*x182))+x180+(((-1.0)*new_r10*x181)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+CheckValue<IkReal> x184=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x184.valid){
+continue;
+}
+if((((-1.0)*(x184.value))) < -0.00001)
+continue;
+IkReal gconst41=IKsqrt(((-1.0)*(x184.value)));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.0)+(IKsign(sj0)))))+(IKabs(((((-1.0)*gconst41))+cj0)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+if((((1.0)+(((-1.0)*(gconst41*gconst41))))) < -0.00001)
+continue;
+sj0=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41)))))));
+cj0=gconst41;
+if( (gconst41) < -1-IKFAST_SINCOS_THRESH || (gconst41) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j0=((-1.0)*(IKacos(gconst41)));
+CheckValue<IkReal> x185=IKPowWithIntegerCheck(((-1.0)+(new_r22*new_r22)),-1);
+if(!x185.valid){
+continue;
+}
+if((((-1.0)*(x185.value))) < -0.00001)
+continue;
+IkReal gconst41=IKsqrt(((-1.0)*(x185.value)));
+j2eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if((((1.0)+(((-1.0)*(gconst41*gconst41))))) < -0.00001)
+continue;
+CheckValue<IkReal> x186=IKPowWithIntegerCheck(gconst41,-1);
+if(!x186.valid){
+continue;
+}
+if( IKabs(((((-1.0)*new_r01*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41))))))))+(((-1.0)*gconst41*new_r11)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r10*(x186.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r01*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41))))))))+(((-1.0)*gconst41*new_r11))))+IKsqr((new_r10*(x186.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((((-1.0)*new_r01*(IKsqrt(((1.0)+(((-1.0)*(gconst41*gconst41))))))))+(((-1.0)*gconst41*new_r11))), (new_r10*(x186.value)));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x187=IKsin(j2);
+IkReal x188=IKcos(j2);
+IkReal x189=((1.0)*gconst41);
+if((((1.0)+(((-1.0)*gconst41*x189)))) < -0.00001)
+continue;
+IkReal x190=IKsqrt(((1.0)+(((-1.0)*gconst41*x189))));
+IkReal x191=((1.0)*x190);
+evalcond[0]=((-1.0)*x187);
+evalcond[1]=((-1.0)*x188);
+evalcond[2]=(new_r11+((gconst41*x187)));
+evalcond[3]=((((-1.0)*x188*x189))+new_r10);
+evalcond[4]=(((x187*x190))+new_r01);
+evalcond[5]=((((-1.0)*x188*x191))+new_r00);
+evalcond[6]=(((new_r01*x190))+((gconst41*new_r11))+x187);
+evalcond[7]=(x188+(((-1.0)*new_r10*x189))+(((-1.0)*new_r00*x191)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x192=IKPowWithIntegerCheck(IKsign(gconst41),-1);
+if(!x192.valid){
+continue;
+}
+CheckValue<IkReal> x193 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x193.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x192.value)))+(x193.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x194=IKsin(j2);
+IkReal x195=IKcos(j2);
+IkReal x196=((1.0)*gconst41);
+if((((1.0)+(((-1.0)*gconst41*x196)))) < -0.00001)
+continue;
+IkReal x197=IKsqrt(((1.0)+(((-1.0)*gconst41*x196))));
+IkReal x198=((1.0)*x197);
+evalcond[0]=((-1.0)*x194);
+evalcond[1]=((-1.0)*x195);
+evalcond[2]=(((gconst41*x194))+new_r11);
+evalcond[3]=((((-1.0)*x195*x196))+new_r10);
+evalcond[4]=(((x194*x197))+new_r01);
+evalcond[5]=((((-1.0)*x195*x198))+new_r00);
+evalcond[6]=(((new_r01*x197))+((gconst41*new_r11))+x194);
+evalcond[7]=(x195+(((-1.0)*new_r10*x196))+(((-1.0)*new_r00*x198)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j2]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+IkReal x199=new_r22*new_r22;
+IkReal x200=((1.0)*new_r22);
+CheckValue<IkReal> x201=IKPowWithIntegerCheck((((cj0*x199))+(((-1.0)*cj0))),-1);
+if(!x201.valid){
+continue;
+}
+CheckValue<IkReal> x202=IKPowWithIntegerCheck(((((-1.0)*sj0))+((sj0*x199))),-1);
+if(!x202.valid){
+continue;
+}
+if( IKabs(((x201.value)*(((((-1.0)*new_r00*x200))+new_r11)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x202.value)*((new_r00+(((-1.0)*new_r11*x200)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x201.value)*(((((-1.0)*new_r00*x200))+new_r11))))+IKsqr(((x202.value)*((new_r00+(((-1.0)*new_r11*x200))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((x201.value)*(((((-1.0)*new_r00*x200))+new_r11))), ((x202.value)*((new_r00+(((-1.0)*new_r11*x200))))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[10];
+IkReal x203=IKsin(j2);
+IkReal x204=IKcos(j2);
+IkReal x205=((1.0)*sj0);
+IkReal x206=((1.0)*cj0);
+IkReal x207=(new_r22*x203);
+IkReal x208=(new_r22*x204);
+evalcond[0]=(x203+((cj0*new_r11))+(((-1.0)*new_r01*x205)));
+evalcond[1]=(((new_r00*sj0))+x204+(((-1.0)*new_r10*x206)));
+evalcond[2]=(((new_r10*sj0))+x207+((cj0*new_r00)));
+evalcond[3]=(((new_r11*sj0))+x208+((cj0*new_r01)));
+evalcond[4]=(((sj0*x204))+((cj0*x207))+new_r00);
+evalcond[5]=(((sj0*x208))+((cj0*x203))+new_r11);
+evalcond[6]=((((-1.0)*x203*x205))+((cj0*x208))+new_r01);
+evalcond[7]=((((-1.0)*x204*x206))+((sj0*x207))+new_r10);
+evalcond[8]=((((-1.0)*new_r10*new_r22*x205))+(((-1.0)*new_r00*new_r22*x206))+(((-1.0)*x203)));
+evalcond[9]=((((-1.0)*new_r01*new_r22*x206))+(((-1.0)*new_r11*new_r22*x205))+(((-1.0)*x204)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+IkReal x209=((1.0)*new_r00);
+CheckValue<IkReal> x210=IKPowWithIntegerCheck(new_r22,-1);
+if(!x210.valid){
+continue;
+}
+if( IKabs(((x210.value)*(((((-1.0)*cj0*x209))+(((-1.0)*new_r10*sj0)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj0*new_r10))+(((-1.0)*sj0*x209)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x210.value)*(((((-1.0)*cj0*x209))+(((-1.0)*new_r10*sj0))))))+IKsqr((((cj0*new_r10))+(((-1.0)*sj0*x209))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((x210.value)*(((((-1.0)*cj0*x209))+(((-1.0)*new_r10*sj0))))), (((cj0*new_r10))+(((-1.0)*sj0*x209))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[10];
+IkReal x211=IKsin(j2);
+IkReal x212=IKcos(j2);
+IkReal x213=((1.0)*sj0);
+IkReal x214=((1.0)*cj0);
+IkReal x215=(new_r22*x211);
+IkReal x216=(new_r22*x212);
+evalcond[0]=(x211+(((-1.0)*new_r01*x213))+((cj0*new_r11)));
+evalcond[1]=(((new_r00*sj0))+(((-1.0)*new_r10*x214))+x212);
+evalcond[2]=(((new_r10*sj0))+x215+((cj0*new_r00)));
+evalcond[3]=(((new_r11*sj0))+x216+((cj0*new_r01)));
+evalcond[4]=(((cj0*x215))+((sj0*x212))+new_r00);
+evalcond[5]=(((cj0*x211))+((sj0*x216))+new_r11);
+evalcond[6]=(((cj0*x216))+(((-1.0)*x211*x213))+new_r01);
+evalcond[7]=(((sj0*x215))+new_r10+(((-1.0)*x212*x214)));
+evalcond[8]=((((-1.0)*x211))+(((-1.0)*new_r00*new_r22*x214))+(((-1.0)*new_r10*new_r22*x213)));
+evalcond[9]=((((-1.0)*x212))+(((-1.0)*new_r11*new_r22*x213))+(((-1.0)*new_r01*new_r22*x214)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+IkReal x217=cj0*cj0;
+IkReal x218=((1.0)*new_r00);
+IkReal x219=(cj0*new_r22);
+CheckValue<IkReal> x220=IKPowWithIntegerCheck(IKsign(((1.0)+(((-1.0)*x217))+((x217*(new_r22*new_r22))))),-1);
+if(!x220.valid){
+continue;
+}
+CheckValue<IkReal> x221 = IKatan2WithCheck(IkReal((((new_r01*sj0))+(((-1.0)*x218*x219)))),IkReal(((((-1.0)*new_r01*x219))+(((-1.0)*sj0*x218)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x221.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x220.value)))+(x221.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[10];
+IkReal x222=IKsin(j2);
+IkReal x223=IKcos(j2);
+IkReal x224=((1.0)*sj0);
+IkReal x225=((1.0)*cj0);
+IkReal x226=(new_r22*x222);
+IkReal x227=(new_r22*x223);
+evalcond[0]=((((-1.0)*new_r01*x224))+x222+((cj0*new_r11)));
+evalcond[1]=((((-1.0)*new_r10*x225))+((new_r00*sj0))+x223);
+evalcond[2]=(((new_r10*sj0))+x226+((cj0*new_r00)));
+evalcond[3]=(((new_r11*sj0))+x227+((cj0*new_r01)));
+evalcond[4]=(((sj0*x223))+((cj0*x226))+new_r00);
+evalcond[5]=(((sj0*x227))+((cj0*x222))+new_r11);
+evalcond[6]=((((-1.0)*x222*x224))+((cj0*x227))+new_r01);
+evalcond[7]=(((sj0*x226))+(((-1.0)*x223*x225))+new_r10);
+evalcond[8]=((((-1.0)*new_r00*new_r22*x225))+(((-1.0)*new_r10*new_r22*x224))+(((-1.0)*x222)));
+evalcond[9]=((((-1.0)*new_r11*new_r22*x224))+(((-1.0)*new_r01*new_r22*x225))+(((-1.0)*x223)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0, j2]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x229=IKPowWithIntegerCheck(cj1,-1);
+if(!x229.valid){
+continue;
+}
+IkReal x228=x229.value;
+CheckValue<IkReal> x230=IKPowWithIntegerCheck(new_r12,-1);
+if(!x230.valid){
+continue;
+}
+CheckValue<IkReal> x231=IKPowWithIntegerCheck(x228,-2);
+if(!x231.valid){
+continue;
+}
+if( IKabs((x228*(x230.value)*(((((-1.0)*(new_r02*new_r02)))+(x231.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r02*x228)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x228*(x230.value)*(((((-1.0)*(new_r02*new_r02)))+(x231.value)))))+IKsqr((new_r02*x228))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((x228*(x230.value)*(((((-1.0)*(new_r02*new_r02)))+(x231.value)))), (new_r02*x228));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x232=IKcos(j0);
+IkReal x233=IKsin(j0);
+IkReal x234=(cj1*x232);
+IkReal x235=(cj1*x233);
+IkReal x236=((1.0)*x233);
+IkReal x237=(new_r02*x232);
+evalcond[0]=(new_r02+(((-1.0)*x234)));
+evalcond[1]=(new_r12+(((-1.0)*x235)));
+evalcond[2]=((((-1.0)*new_r02*x236))+((new_r12*x232)));
+evalcond[3]=(((new_r12*x233))+x237+(((-1.0)*cj1)));
+evalcond[4]=(((new_r10*x235))+((new_r20*sj1))+((new_r00*x234)));
+evalcond[5]=(((new_r11*x235))+((new_r01*x234))+((new_r21*sj1)));
+evalcond[6]=((-1.0)+((new_r02*x234))+((new_r12*x235))+((new_r22*sj1)));
+evalcond[7]=(((cj1*new_r22))+(((-1.0)*sj1*x237))+(((-1.0)*new_r12*sj1*x236)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j2eval[3];
+j2eval[0]=cj1;
+j2eval[1]=IKsign(cj1);
+j2eval[2]=((IKabs(new_r20))+(IKabs(new_r21)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 || IKabs(j2eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[2];
+j2eval[0]=cj1;
+j2eval[1]=sj0;
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[3];
+j2eval[0]=cj1;
+j2eval[1]=sj0;
+j2eval[2]=sj1;
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 || IKabs(j2eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+IkReal x238=((1.0)*cj0);
+if( IKabs((((new_r01*sj0))+(((-1.0)*new_r00*x238)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((((-1.0)*new_r00*sj0))+(((-1.0)*new_r01*x238)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((new_r01*sj0))+(((-1.0)*new_r00*x238))))+IKsqr(((((-1.0)*new_r00*sj0))+(((-1.0)*new_r01*x238))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((((new_r01*sj0))+(((-1.0)*new_r00*x238))), ((((-1.0)*new_r00*sj0))+(((-1.0)*new_r01*x238))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x239=IKsin(j2);
+IkReal x240=IKcos(j2);
+IkReal x241=((1.0)*cj0);
+IkReal x242=(sj0*x240);
+IkReal x243=(cj0*x239);
+IkReal x244=(sj0*x239);
+IkReal x245=(x243+x242);
+evalcond[0]=(((new_r10*sj0))+x239+((cj0*new_r00)));
+evalcond[1]=(((new_r11*sj0))+x240+((cj0*new_r01)));
+evalcond[2]=((((-1.0)*new_r01*sj0))+x239+((cj0*new_r11)));
+evalcond[3]=(((new_r00*sj0))+x240+(((-1.0)*new_r10*x241)));
+evalcond[4]=(x245+new_r00);
+evalcond[5]=(x245+new_r11);
+evalcond[6]=(((cj0*x240))+(((-1.0)*x244))+new_r01);
+evalcond[7]=(x244+(((-1.0)*x240*x241))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs((((new_r01*sj0))+((cj0*new_r00)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj0*new_r01))+(((-1.0)*new_r00*sj0)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((new_r01*sj0))+((cj0*new_r00))))+IKsqr((((cj0*new_r01))+(((-1.0)*new_r00*sj0))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((((new_r01*sj0))+((cj0*new_r00))), (((cj0*new_r01))+(((-1.0)*new_r00*sj0))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x246=IKsin(j2);
+IkReal x247=IKcos(j2);
+IkReal x248=((1.0)*sj0);
+IkReal x249=((1.0)*cj0);
+IkReal x250=((1.0)*x247);
+IkReal x251=(((x246*x248))+((x247*x249)));
+evalcond[0]=((((-1.0)*new_r01*x248))+x246+((cj0*new_r11)));
+evalcond[1]=(((new_r00*sj0))+x247+(((-1.0)*new_r10*x249)));
+evalcond[2]=((((-1.0)*x246))+((new_r10*sj0))+((cj0*new_r00)));
+evalcond[3]=(((new_r11*sj0))+((cj0*new_r01))+(((-1.0)*x250)));
+evalcond[4]=(new_r00+((sj0*x247))+(((-1.0)*x246*x249)));
+evalcond[5]=(((cj0*x246))+new_r11+(((-1.0)*x247*x248)));
+evalcond[6]=(new_r01+(((-1.0)*x251)));
+evalcond[7]=(new_r10+(((-1.0)*x251)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j0))), 6.28318530717959)));
+evalcond[1]=new_r12;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(((-1.0)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r10) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11))+IKsqr(new_r10)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r11), new_r10);
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x252=IKsin(j2);
+IkReal x253=IKcos(j2);
+IkReal x254=((1.0)*sj1);
+IkReal x255=((1.0)*cj1);
+evalcond[0]=(x252+new_r11);
+evalcond[1]=(x253+(((-1.0)*new_r10)));
+evalcond[2]=(((sj1*x252))+new_r00);
+evalcond[3]=(((sj1*x253))+new_r01);
+evalcond[4]=((((-1.0)*x252*x255))+new_r20);
+evalcond[5]=(new_r21+(((-1.0)*x253*x255)));
+evalcond[6]=(((cj1*new_r20))+(((-1.0)*new_r00*x254))+(((-1.0)*x252)));
+evalcond[7]=((((-1.0)*new_r01*x254))+((cj1*new_r21))+(((-1.0)*x253)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j0)))), 6.28318530717959)));
+evalcond[1]=new_r12;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(new_r11) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r11)+IKsqr(((-1.0)*new_r10))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(new_r11, ((-1.0)*new_r10));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x256=IKsin(j2);
+IkReal x257=IKcos(j2);
+IkReal x258=((1.0)*cj1);
+evalcond[0]=(x257+new_r10);
+evalcond[1]=(x256+(((-1.0)*new_r11)));
+evalcond[2]=((((-1.0)*x256*x258))+new_r20);
+evalcond[3]=((((-1.0)*x257*x258))+new_r21);
+evalcond[4]=(((sj1*x256))+(((-1.0)*new_r00)));
+evalcond[5]=(((sj1*x257))+(((-1.0)*new_r01)));
+evalcond[6]=(((cj1*new_r20))+((new_r00*sj1))+(((-1.0)*x256)));
+evalcond[7]=(((cj1*new_r21))+((new_r01*sj1))+(((-1.0)*x257)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j1))), 6.28318530717959)));
+evalcond[1]=new_r22;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(new_r20) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r21) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r20)+IKsqr(new_r21)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(new_r20, new_r21);
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x259=IKcos(j2);
+IkReal x260=IKsin(j2);
+IkReal x261=((1.0)*sj0);
+IkReal x262=((1.0)*x259);
+evalcond[0]=((((-1.0)*x260))+new_r20);
+evalcond[1]=(new_r21+(((-1.0)*x262)));
+evalcond[2]=(((sj0*x259))+new_r00);
+evalcond[3]=(((cj0*x260))+new_r11);
+evalcond[4]=(new_r01+(((-1.0)*x260*x261)));
+evalcond[5]=(new_r10+(((-1.0)*new_r02*x262)));
+evalcond[6]=((((-1.0)*new_r01*x261))+x260+((cj0*new_r11)));
+evalcond[7]=((((-1.0)*cj0*new_r10))+((new_r00*sj0))+x259);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r22;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(((-1.0)*new_r20)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r21)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r20))+IKsqr(((-1.0)*new_r21))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r20), ((-1.0)*new_r21));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x263=IKcos(j2);
+IkReal x264=IKsin(j2);
+IkReal x265=((1.0)*sj0);
+evalcond[0]=(x264+new_r20);
+evalcond[1]=(x263+new_r21);
+evalcond[2]=(new_r00+((sj0*x263)));
+evalcond[3]=(((cj0*x264))+new_r11);
+evalcond[4]=(new_r10+((new_r02*x263)));
+evalcond[5]=(new_r01+(((-1.0)*x264*x265)));
+evalcond[6]=((((-1.0)*new_r01*x265))+x264+((cj0*new_r11)));
+evalcond[7]=((((-1.0)*cj0*new_r10))+((new_r00*sj0))+x263);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r20))+(IKabs(new_r21)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2eval[1];
+new_r21=0;
+new_r20=0;
+new_r02=0;
+new_r12=0;
+j2eval[0]=IKabs(new_r22);
+if( IKabs(j2eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j2]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+op[0]=((-1.0)*new_r22);
+op[1]=0;
+op[2]=new_r22;
+polyroots2(op,zeror,numroots);
+IkReal j2array[2], cj2array[2], sj2array[2], tempj2array[1];
+int numsolutions = 0;
+for(int ij2 = 0; ij2 < numroots; ++ij2)
+{
+IkReal htj2 = zeror[ij2];
+tempj2array[0]=((2.0)*(atan(htj2)));
+for(int kj2 = 0; kj2 < 1; ++kj2)
+{
+j2array[numsolutions] = tempj2array[kj2];
+if( j2array[numsolutions] > IKPI )
+{
+ j2array[numsolutions]-=IK2PI;
+}
+else if( j2array[numsolutions] < -IKPI )
+{
+ j2array[numsolutions]+=IK2PI;
+}
+sj2array[numsolutions] = IKsin(j2array[numsolutions]);
+cj2array[numsolutions] = IKcos(j2array[numsolutions]);
+numsolutions++;
+}
+}
+bool j2valid[2]={true,true};
+_nj2 = 2;
+for(int ij2 = 0; ij2 < numsolutions; ++ij2)
+ {
+if( !j2valid[ij2] )
+{
+ continue;
+}
+ j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+htj2 = IKtan(j2/2);
+
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < numsolutions; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j2]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x267=IKPowWithIntegerCheck(cj1,-1);
+if(!x267.valid){
+continue;
+}
+IkReal x266=x267.value;
+CheckValue<IkReal> x268=IKPowWithIntegerCheck(sj0,-1);
+if(!x268.valid){
+continue;
+}
+CheckValue<IkReal> x269=IKPowWithIntegerCheck(sj1,-1);
+if(!x269.valid){
+continue;
+}
+if( IKabs((new_r20*x266)) < IKFAST_ATAN2_MAGTHRESH && IKabs((x266*(x268.value)*(x269.value)*(((((-1.0)*cj0*new_r20))+(((-1.0)*cj1*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r20*x266))+IKsqr((x266*(x268.value)*(x269.value)*(((((-1.0)*cj0*new_r20))+(((-1.0)*cj1*new_r11))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((new_r20*x266), (x266*(x268.value)*(x269.value)*(((((-1.0)*cj0*new_r20))+(((-1.0)*cj1*new_r11))))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[12];
+IkReal x270=IKsin(j2);
+IkReal x271=IKcos(j2);
+IkReal x272=((1.0)*sj0);
+IkReal x273=(cj0*new_r00);
+IkReal x274=((1.0)*cj0);
+IkReal x275=((1.0)*x271);
+IkReal x276=(sj1*x270);
+IkReal x277=(sj1*x271);
+IkReal x278=((1.0)*x270);
+evalcond[0]=((((-1.0)*cj1*x278))+new_r20);
+evalcond[1]=((((-1.0)*cj1*x275))+new_r21);
+evalcond[2]=((((-1.0)*new_r01*x272))+x270+((cj0*new_r11)));
+evalcond[3]=(((new_r00*sj0))+x271+(((-1.0)*new_r10*x274)));
+evalcond[4]=(((new_r10*sj0))+x276+x273);
+evalcond[5]=(((new_r11*sj0))+x277+((cj0*new_r01)));
+evalcond[6]=(new_r00+((sj0*x271))+((cj0*x276)));
+evalcond[7]=(new_r11+((sj0*x277))+((cj0*x270)));
+evalcond[8]=((((-1.0)*x270*x272))+new_r01+((cj0*x277)));
+evalcond[9]=((((-1.0)*x271*x274))+new_r10+((sj0*x276)));
+evalcond[10]=((((-1.0)*new_r10*sj1*x272))+((cj1*new_r20))+(((-1.0)*sj1*x273))+(((-1.0)*x278)));
+evalcond[11]=(((cj1*new_r21))+(((-1.0)*x275))+(((-1.0)*new_r11*sj1*x272))+(((-1.0)*new_r01*sj1*x274)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x280=IKPowWithIntegerCheck(cj1,-1);
+if(!x280.valid){
+continue;
+}
+IkReal x279=x280.value;
+CheckValue<IkReal> x281=IKPowWithIntegerCheck(sj0,-1);
+if(!x281.valid){
+continue;
+}
+if( IKabs((new_r20*x279)) < IKFAST_ATAN2_MAGTHRESH && IKabs((x279*(x281.value)*(((((-1.0)*cj0*new_r20*sj1))+(((-1.0)*cj1*new_r00)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r20*x279))+IKsqr((x279*(x281.value)*(((((-1.0)*cj0*new_r20*sj1))+(((-1.0)*cj1*new_r00))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((new_r20*x279), (x279*(x281.value)*(((((-1.0)*cj0*new_r20*sj1))+(((-1.0)*cj1*new_r00))))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[12];
+IkReal x282=IKsin(j2);
+IkReal x283=IKcos(j2);
+IkReal x284=((1.0)*sj0);
+IkReal x285=(cj0*new_r00);
+IkReal x286=((1.0)*cj0);
+IkReal x287=((1.0)*x283);
+IkReal x288=(sj1*x282);
+IkReal x289=(sj1*x283);
+IkReal x290=((1.0)*x282);
+evalcond[0]=((((-1.0)*cj1*x290))+new_r20);
+evalcond[1]=((((-1.0)*cj1*x287))+new_r21);
+evalcond[2]=(x282+(((-1.0)*new_r01*x284))+((cj0*new_r11)));
+evalcond[3]=(((new_r00*sj0))+x283+(((-1.0)*new_r10*x286)));
+evalcond[4]=(((new_r10*sj0))+x288+x285);
+evalcond[5]=(((new_r11*sj0))+x289+((cj0*new_r01)));
+evalcond[6]=(((cj0*x288))+((sj0*x283))+new_r00);
+evalcond[7]=(((cj0*x282))+((sj0*x289))+new_r11);
+evalcond[8]=(((cj0*x289))+(((-1.0)*x282*x284))+new_r01);
+evalcond[9]=(((sj0*x288))+new_r10+(((-1.0)*x283*x286)));
+evalcond[10]=(((cj1*new_r20))+(((-1.0)*x290))+(((-1.0)*new_r10*sj1*x284))+(((-1.0)*sj1*x285)));
+evalcond[11]=((((-1.0)*new_r01*sj1*x286))+((cj1*new_r21))+(((-1.0)*new_r11*sj1*x284))+(((-1.0)*x287)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x291=IKPowWithIntegerCheck(IKsign(cj1),-1);
+if(!x291.valid){
+continue;
+}
+CheckValue<IkReal> x292 = IKatan2WithCheck(IkReal(new_r20),IkReal(new_r21),IKFAST_ATAN2_MAGTHRESH);
+if(!x292.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x291.value)))+(x292.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[12];
+IkReal x293=IKsin(j2);
+IkReal x294=IKcos(j2);
+IkReal x295=((1.0)*sj0);
+IkReal x296=(cj0*new_r00);
+IkReal x297=((1.0)*cj0);
+IkReal x298=((1.0)*x294);
+IkReal x299=(sj1*x293);
+IkReal x300=(sj1*x294);
+IkReal x301=((1.0)*x293);
+evalcond[0]=((((-1.0)*cj1*x301))+new_r20);
+evalcond[1]=((((-1.0)*cj1*x298))+new_r21);
+evalcond[2]=((((-1.0)*new_r01*x295))+x293+((cj0*new_r11)));
+evalcond[3]=((((-1.0)*new_r10*x297))+((new_r00*sj0))+x294);
+evalcond[4]=(((new_r10*sj0))+x299+x296);
+evalcond[5]=(((new_r11*sj0))+x300+((cj0*new_r01)));
+evalcond[6]=(((sj0*x294))+new_r00+((cj0*x299)));
+evalcond[7]=(((sj0*x300))+new_r11+((cj0*x293)));
+evalcond[8]=((((-1.0)*x293*x295))+((cj0*x300))+new_r01);
+evalcond[9]=(((sj0*x299))+new_r10+(((-1.0)*x294*x297)));
+evalcond[10]=((((-1.0)*new_r10*sj1*x295))+(((-1.0)*sj1*x296))+((cj1*new_r20))+(((-1.0)*x301)));
+evalcond[11]=((((-1.0)*new_r11*sj1*x295))+((cj1*new_r21))+(((-1.0)*x298))+(((-1.0)*new_r01*sj1*x297)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x302=IKPowWithIntegerCheck(IKsign(cj1),-1);
+if(!x302.valid){
+continue;
+}
+CheckValue<IkReal> x303 = IKatan2WithCheck(IkReal(new_r20),IkReal(new_r21),IKFAST_ATAN2_MAGTHRESH);
+if(!x303.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x302.value)))+(x303.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[2];
+IkReal x304=((1.0)*cj1);
+evalcond[0]=((((-1.0)*x304*(IKsin(j2))))+new_r20);
+evalcond[1]=((((-1.0)*x304*(IKcos(j2))))+new_r21);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j0eval[3];
+j0eval[0]=cj1;
+j0eval[1]=IKsign(cj1);
+j0eval[2]=((IKabs(new_r12))+(IKabs(new_r02)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+j0eval[0]=cj1;
+j0eval[1]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+IkReal x305=(((new_r00*new_r11))+(((-1.0)*new_r01*new_r10)));
+j0eval[0]=x305;
+j0eval[1]=((IKabs((((new_r01*sj2))+(((-1.0)*cj2*new_r00)))))+(IKabs((((cj2*new_r10))+(((-1.0)*new_r11*sj2))))));
+j0eval[2]=IKsign(x305);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+IkReal x306=(((cj2*new_r01))+(((-1.0)*new_r11*sj2)));
+j0eval[0]=x306;
+j0eval[1]=((IKabs((((cj2*sj2))+(((-1.0)*new_r00*new_r01)))))+(IKabs(((((-1.0)*(cj2*cj2)))+((new_r00*new_r11))))));
+j0eval[2]=IKsign(x306);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+IkReal x307=((1.0)*sj2);
+IkReal x308=(((cj2*new_r00))+(((-1.0)*new_r10*x307)));
+j0eval[0]=x308;
+j0eval[1]=IKsign(x308);
+j0eval[2]=((IKabs(((((-1.0)*cj2*x307))+((new_r10*new_r11)))))+(IKabs(((1.0)+(((-1.0)*(cj2*cj2)))+(((-1.0)*new_r00*new_r11))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+IkReal x311 = ((new_r10*new_r10)+(new_r00*new_r00));
+if(IKabs(x311)==0){
+continue;
+}
+IkReal x309=pow(x311,-0.5);
+IkReal x310=((-1.0)*x309);
+CheckValue<IkReal> x312 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x312.valid){
+continue;
+}
+IkReal gconst16=((-1.0)*(x312.value));
+IkReal gconst17=(new_r00*x310);
+IkReal gconst18=(new_r10*x310);
+CheckValue<IkReal> x313 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x313.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x313.value)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x317 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x317.valid){
+continue;
+}
+IkReal x314=((-1.0)*(x317.value));
+IkReal x315=x309;
+IkReal x316=((-1.0)*x315);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x314;
+IkReal gconst16=x314;
+IkReal gconst17=(new_r00*x316);
+IkReal gconst18=(new_r10*x316);
+IkReal x318=new_r10*new_r10;
+IkReal x319=(new_r00*new_r11);
+IkReal x320=(x319+(((-1.0)*new_r01*new_r10)));
+IkReal x321=x309;
+IkReal x322=((1.0)*x321);
+j0eval[0]=x320;
+j0eval[1]=IKsign(x320);
+j0eval[2]=((IKabs((((new_r00*new_r10*x321))+(((-1.0)*new_r00*new_r01*x322)))))+(IKabs(((((-1.0)*x318*x322))+((x319*x321))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x326 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x326.valid){
+continue;
+}
+IkReal x323=((-1.0)*(x326.value));
+IkReal x324=x309;
+IkReal x325=((-1.0)*x324);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x323;
+IkReal gconst16=x323;
+IkReal gconst17=(new_r00*x325);
+IkReal gconst18=(new_r10*x325);
+IkReal x327=new_r10*new_r10;
+IkReal x328=((1.0)*new_r00);
+CheckValue<IkReal> x331=IKPowWithIntegerCheck((x327+(new_r00*new_r00)),-1);
+if(!x331.valid){
+continue;
+}
+IkReal x329=x331.value;
+IkReal x330=(x327*x329);
+j0eval[0]=((IKabs((((new_r00*new_r01*x330))+(((-1.0)*new_r10*x328*x329))+((new_r01*x329*(new_r00*new_r00*new_r00))))))+(IKabs((x330+(((-1.0)*new_r11*x328))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x335 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x335.valid){
+continue;
+}
+IkReal x332=((-1.0)*(x335.value));
+IkReal x333=x309;
+IkReal x334=((-1.0)*x333);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x332;
+IkReal gconst16=x332;
+IkReal gconst17=(new_r00*x334);
+IkReal gconst18=(new_r10*x334);
+IkReal x336=new_r00*new_r00;
+IkReal x337=(new_r00*new_r01);
+IkReal x338=(((new_r10*new_r11))+x337);
+IkReal x339=x309;
+IkReal x340=(new_r00*x339);
+j0eval[0]=x338;
+j0eval[1]=IKsign(x338);
+j0eval[2]=((IKabs((((new_r11*x340))+(((-1.0)*x336*x339)))))+(IKabs((((x337*x339))+((new_r10*x340))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[3];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+IkReal x341=((-1.0)*new_r10);
+CheckValue<IkReal> x343 = IKatan2WithCheck(IkReal(0),IkReal(x341),IKFAST_ATAN2_MAGTHRESH);
+if(!x343.valid){
+continue;
+}
+IkReal x342=((-1.0)*(x343.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x342;
+new_r11=0;
+new_r00=0;
+IkReal gconst16=x342;
+IkReal gconst17=0;
+IkReal x344 = new_r10*new_r10;
+if(IKabs(x344)==0){
+continue;
+}
+IkReal gconst18=(x341*(pow(x344,-0.5)));
+j0eval[0]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x345=IKPowWithIntegerCheck(gconst18,-1);
+if(!x345.valid){
+continue;
+}
+cj0array[0]=(new_r10*(x345.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x346=IKsin(j0);
+IkReal x347=IKcos(j0);
+evalcond[0]=(new_r10*x346);
+evalcond[1]=(gconst18*x346);
+evalcond[2]=((-1.0)*new_r01*x346);
+evalcond[3]=(gconst18+((new_r01*x347)));
+evalcond[4]=(((gconst18*x347))+new_r01);
+evalcond[5]=(gconst18+(((-1.0)*new_r10*x347)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x348=IKPowWithIntegerCheck(new_r10,-1);
+if(!x348.valid){
+continue;
+}
+cj0array[0]=(gconst18*(x348.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x349=IKsin(j0);
+IkReal x350=IKcos(j0);
+IkReal x351=(gconst18*x350);
+evalcond[0]=(new_r10*x349);
+evalcond[1]=(gconst18*x349);
+evalcond[2]=((-1.0)*new_r01*x349);
+evalcond[3]=(((new_r01*x350))+gconst18);
+evalcond[4]=(x351+new_r01);
+evalcond[5]=((((-1.0)*x351))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+evalcond[1]=gconst17;
+evalcond[2]=gconst18;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+IkReal x352=((-1.0)*new_r10);
+CheckValue<IkReal> x354 = IKatan2WithCheck(IkReal(new_r00),IkReal(x352),IKFAST_ATAN2_MAGTHRESH);
+if(!x354.valid){
+continue;
+}
+IkReal x353=((-1.0)*(x354.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x353;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst16=x353;
+IkReal gconst17=((-1.0)*new_r00);
+IkReal gconst18=x352;
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs(((1.0)+(((-1.0)*(new_r10*new_r10))))))+(IKabs((new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x355=((-1.0)*new_r10);
+CheckValue<IkReal> x357 = IKatan2WithCheck(IkReal(new_r00),IkReal(x355),IKFAST_ATAN2_MAGTHRESH);
+if(!x357.valid){
+continue;
+}
+IkReal x356=((-1.0)*(x357.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x356;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst16=x356;
+IkReal gconst17=((-1.0)*new_r00);
+IkReal gconst18=x355;
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs(new_r10*new_r10))+(IKabs((new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x358=((-1.0)*new_r10);
+CheckValue<IkReal> x360 = IKatan2WithCheck(IkReal(new_r00),IkReal(x358),IKFAST_ATAN2_MAGTHRESH);
+if(!x360.valid){
+continue;
+}
+IkReal x359=((-1.0)*(x360.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x359;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst16=x359;
+IkReal gconst17=((-1.0)*new_r00);
+IkReal gconst18=x358;
+j0eval[0]=-1.0;
+j0eval[1]=-1.0;
+j0eval[2]=((IKabs(((-1.0)+(new_r10*new_r10))))+(IKabs((new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x361=IKPowWithIntegerCheck(IKsign(((((-1.0)*(gconst17*gconst17)))+(((-1.0)*(gconst18*gconst18))))),-1);
+if(!x361.valid){
+continue;
+}
+CheckValue<IkReal> x362 = IKatan2WithCheck(IkReal((gconst18*new_r00)),IkReal((gconst17*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x362.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x361.value)))+(x362.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x363=IKcos(j0);
+IkReal x364=IKsin(j0);
+IkReal x365=(gconst17*x363);
+IkReal x366=(gconst18*x364);
+IkReal x367=((1.0)*x363);
+IkReal x368=(gconst17*x364);
+IkReal x369=(x365+x366);
+evalcond[0]=x369;
+evalcond[1]=(gconst17+((new_r00*x363))+((new_r10*x364)));
+evalcond[2]=(x369+new_r00);
+evalcond[3]=(((gconst18*x363))+(((-1.0)*x368)));
+evalcond[4]=(gconst18+((new_r00*x364))+(((-1.0)*new_r10*x367)));
+evalcond[5]=((((-1.0)*gconst18*x367))+x368+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x370 = IKatan2WithCheck(IkReal((gconst17*gconst18)),IkReal(((-1.0)*(gconst18*gconst18))),IKFAST_ATAN2_MAGTHRESH);
+if(!x370.valid){
+continue;
+}
+CheckValue<IkReal> x371=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst17*new_r00))+(((-1.0)*gconst18*new_r10)))),-1);
+if(!x371.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x370.value)+(((1.5707963267949)*(x371.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x372=IKcos(j0);
+IkReal x373=IKsin(j0);
+IkReal x374=(gconst17*x372);
+IkReal x375=(gconst18*x373);
+IkReal x376=((1.0)*x372);
+IkReal x377=(gconst17*x373);
+IkReal x378=(x375+x374);
+evalcond[0]=x378;
+evalcond[1]=(gconst17+((new_r00*x372))+((new_r10*x373)));
+evalcond[2]=(x378+new_r00);
+evalcond[3]=((((-1.0)*x377))+((gconst18*x372)));
+evalcond[4]=(gconst18+((new_r00*x373))+(((-1.0)*new_r10*x376)));
+evalcond[5]=((((-1.0)*gconst18*x376))+x377+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x379 = IKatan2WithCheck(IkReal((gconst17*gconst18)),IkReal(gconst17*gconst17),IKFAST_ATAN2_MAGTHRESH);
+if(!x379.valid){
+continue;
+}
+CheckValue<IkReal> x380=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst17*new_r00))+(((-1.0)*gconst18*new_r10)))),-1);
+if(!x380.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x379.value)+(((1.5707963267949)*(x380.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x381=IKcos(j0);
+IkReal x382=IKsin(j0);
+IkReal x383=(gconst17*x381);
+IkReal x384=(gconst18*x382);
+IkReal x385=((1.0)*x381);
+IkReal x386=(gconst17*x382);
+IkReal x387=(x384+x383);
+evalcond[0]=x387;
+evalcond[1]=(((new_r00*x381))+gconst17+((new_r10*x382)));
+evalcond[2]=(x387+new_r00);
+evalcond[3]=((((-1.0)*x386))+((gconst18*x381)));
+evalcond[4]=((((-1.0)*new_r10*x385))+((new_r00*x382))+gconst18);
+evalcond[5]=(x386+(((-1.0)*gconst18*x385))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x389 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x389.valid){
+continue;
+}
+IkReal x388=((-1.0)*(x389.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x388;
+new_r01=0;
+new_r10=0;
+IkReal gconst16=x388;
+IkReal x390 = new_r00*new_r00;
+if(IKabs(x390)==0){
+continue;
+}
+IkReal gconst17=((-1.0)*new_r00*(pow(x390,-0.5)));
+IkReal gconst18=0;
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x392 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x392.valid){
+continue;
+}
+IkReal x391=((-1.0)*(x392.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x391;
+new_r01=0;
+new_r10=0;
+IkReal gconst16=x391;
+IkReal x393 = new_r00*new_r00;
+if(IKabs(x393)==0){
+continue;
+}
+IkReal gconst17=((-1.0)*new_r00*(pow(x393,-0.5)));
+IkReal gconst18=0;
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x394=IKPowWithIntegerCheck(gconst17,-1);
+if(!x394.valid){
+continue;
+}
+cj0array[0]=((-1.0)*new_r00*(x394.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x395=IKsin(j0);
+IkReal x396=IKcos(j0);
+evalcond[0]=(new_r00*x395);
+evalcond[1]=(new_r11*x395);
+evalcond[2]=((-1.0)*gconst17*x395);
+evalcond[3]=(((new_r11*x396))+gconst17);
+evalcond[4]=(gconst17+((new_r00*x396)));
+evalcond[5]=(new_r11+((gconst17*x396)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x397=IKPowWithIntegerCheck(new_r00,-1);
+if(!x397.valid){
+continue;
+}
+cj0array[0]=((-1.0)*gconst17*(x397.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x398=IKsin(j0);
+IkReal x399=IKcos(j0);
+IkReal x400=(gconst17*x399);
+evalcond[0]=(new_r00*x398);
+evalcond[1]=(new_r11*x398);
+evalcond[2]=((-1.0)*gconst17*x398);
+evalcond[3]=(((new_r11*x399))+gconst17);
+evalcond[4]=(x400+new_r00);
+evalcond[5]=(x400+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x401=IKPowWithIntegerCheck(new_r11,-1);
+if(!x401.valid){
+continue;
+}
+cj0array[0]=((-1.0)*gconst17*(x401.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x402=IKsin(j0);
+IkReal x403=IKcos(j0);
+IkReal x404=(gconst17*x403);
+evalcond[0]=(new_r00*x402);
+evalcond[1]=(new_r11*x402);
+evalcond[2]=((-1.0)*gconst17*x402);
+evalcond[3]=(gconst17+((new_r00*x403)));
+evalcond[4]=(x404+new_r00);
+evalcond[5]=(x404+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+IkReal x405=((-1.0)*new_r10);
+CheckValue<IkReal> x407 = IKatan2WithCheck(IkReal(0),IkReal(x405),IKFAST_ATAN2_MAGTHRESH);
+if(!x407.valid){
+continue;
+}
+IkReal x406=((-1.0)*(x407.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x406;
+new_r00=0;
+IkReal gconst16=x406;
+IkReal gconst17=0;
+IkReal x408 = new_r10*new_r10;
+if(IKabs(x408)==0){
+continue;
+}
+IkReal gconst18=(x405*(pow(x408,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x409=((-1.0)*new_r10);
+CheckValue<IkReal> x411 = IKatan2WithCheck(IkReal(0),IkReal(x409),IKFAST_ATAN2_MAGTHRESH);
+if(!x411.valid){
+continue;
+}
+IkReal x410=((-1.0)*(x411.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x410;
+new_r00=0;
+IkReal gconst16=x410;
+IkReal gconst17=0;
+IkReal x412 = new_r10*new_r10;
+if(IKabs(x412)==0){
+continue;
+}
+IkReal gconst18=(x409*(pow(x412,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x413=((-1.0)*new_r10);
+CheckValue<IkReal> x415 = IKatan2WithCheck(IkReal(0),IkReal(x413),IKFAST_ATAN2_MAGTHRESH);
+if(!x415.valid){
+continue;
+}
+IkReal x414=((-1.0)*(x415.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x414;
+new_r00=0;
+IkReal gconst16=x414;
+IkReal gconst17=0;
+IkReal x416 = new_r10*new_r10;
+if(IKabs(x416)==0){
+continue;
+}
+IkReal gconst18=(x413*(pow(x416,-0.5)));
+j0eval[0]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x417=IKPowWithIntegerCheck(gconst18,-1);
+if(!x417.valid){
+continue;
+}
+CheckValue<IkReal> x418=IKPowWithIntegerCheck(new_r10,-1);
+if(!x418.valid){
+continue;
+}
+if( IKabs(((-1.0)*new_r11*(x417.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst18*(x418.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11*(x417.value)))+IKsqr((gconst18*(x418.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*new_r11*(x417.value)), (gconst18*(x418.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x419=IKsin(j0);
+IkReal x420=IKcos(j0);
+IkReal x421=(gconst18*x419);
+IkReal x422=((1.0)*x420);
+evalcond[0]=(new_r10*x419);
+evalcond[1]=x421;
+evalcond[2]=(x421+new_r11);
+evalcond[3]=(((gconst18*x420))+new_r01);
+evalcond[4]=(gconst18+(((-1.0)*new_r10*x422)));
+evalcond[5]=((((-1.0)*gconst18*x422))+new_r10);
+evalcond[6]=((((-1.0)*new_r01*x419))+((new_r11*x420)));
+evalcond[7]=(gconst18+((new_r11*x419))+((new_r01*x420)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x423=IKPowWithIntegerCheck(IKsign(gconst18),-1);
+if(!x423.valid){
+continue;
+}
+CheckValue<IkReal> x424 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x424.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x423.value)))+(x424.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x425=IKsin(j0);
+IkReal x426=IKcos(j0);
+IkReal x427=(gconst18*x425);
+IkReal x428=((1.0)*x426);
+evalcond[0]=(new_r10*x425);
+evalcond[1]=x427;
+evalcond[2]=(x427+new_r11);
+evalcond[3]=(((gconst18*x426))+new_r01);
+evalcond[4]=(gconst18+(((-1.0)*new_r10*x428)));
+evalcond[5]=((((-1.0)*gconst18*x428))+new_r10);
+evalcond[6]=((((-1.0)*new_r01*x425))+((new_r11*x426)));
+evalcond[7]=(gconst18+((new_r11*x425))+((new_r01*x426)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x429=IKPowWithIntegerCheck(IKsign(gconst18),-1);
+if(!x429.valid){
+continue;
+}
+CheckValue<IkReal> x430 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x430.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x429.value)))+(x430.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x431=IKsin(j0);
+IkReal x432=IKcos(j0);
+IkReal x433=(gconst18*x431);
+IkReal x434=((1.0)*x432);
+evalcond[0]=(new_r10*x431);
+evalcond[1]=x433;
+evalcond[2]=(x433+new_r11);
+evalcond[3]=(new_r01+((gconst18*x432)));
+evalcond[4]=(gconst18+(((-1.0)*new_r10*x434)));
+evalcond[5]=((((-1.0)*gconst18*x434))+new_r10);
+evalcond[6]=(((new_r11*x432))+(((-1.0)*new_r01*x431)));
+evalcond[7]=(((new_r01*x432))+gconst18+((new_r11*x431)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x436 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x436.valid){
+continue;
+}
+IkReal x435=((-1.0)*(x436.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x435;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst16=x435;
+IkReal x437 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x437)==0){
+continue;
+}
+IkReal gconst17=((-1.0)*new_r00*(pow(x437,-0.5)));
+IkReal gconst18=0;
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x439 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x439.valid){
+continue;
+}
+IkReal x438=((-1.0)*(x439.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x438;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst16=x438;
+IkReal x440 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x440)==0){
+continue;
+}
+IkReal gconst17=((-1.0)*new_r00*(pow(x440,-0.5)));
+IkReal gconst18=0;
+j0eval[0]=new_r01;
+j0eval[1]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x442 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x442.valid){
+continue;
+}
+IkReal x441=((-1.0)*(x442.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst17;
+cj2=gconst18;
+j2=x441;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst16=x441;
+IkReal x443 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x443)==0){
+continue;
+}
+IkReal gconst17=((-1.0)*new_r00*(pow(x443,-0.5)));
+IkReal gconst18=0;
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x444=IKPowWithIntegerCheck(gconst17,-1);
+if(!x444.valid){
+continue;
+}
+CheckValue<IkReal> x445=IKPowWithIntegerCheck(new_r00,-1);
+if(!x445.valid){
+continue;
+}
+if( IKabs((new_r01*(x444.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst17*(x445.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*(x444.value)))+IKsqr(((-1.0)*gconst17*(x445.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r01*(x444.value)), ((-1.0)*gconst17*(x445.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x446=IKcos(j0);
+IkReal x447=IKsin(j0);
+IkReal x448=(gconst17*x446);
+IkReal x449=((1.0)*x447);
+evalcond[0]=(new_r00*x447);
+evalcond[1]=(new_r01*x446);
+evalcond[2]=x448;
+evalcond[3]=(gconst17*x447);
+evalcond[4]=(((new_r00*x446))+gconst17);
+evalcond[5]=(x448+new_r00);
+evalcond[6]=((((-1.0)*new_r01*x449))+gconst17);
+evalcond[7]=((((-1.0)*gconst17*x449))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x450=IKPowWithIntegerCheck(new_r01,-1);
+if(!x450.valid){
+continue;
+}
+CheckValue<IkReal> x451=IKPowWithIntegerCheck(new_r00,-1);
+if(!x451.valid){
+continue;
+}
+if( IKabs((gconst17*(x450.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst17*(x451.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst17*(x450.value)))+IKsqr(((-1.0)*gconst17*(x451.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst17*(x450.value)), ((-1.0)*gconst17*(x451.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x452=IKcos(j0);
+IkReal x453=IKsin(j0);
+IkReal x454=(gconst17*x452);
+IkReal x455=((1.0)*x453);
+evalcond[0]=(new_r00*x453);
+evalcond[1]=(new_r01*x452);
+evalcond[2]=x454;
+evalcond[3]=(gconst17*x453);
+evalcond[4]=(((new_r00*x452))+gconst17);
+evalcond[5]=(x454+new_r00);
+evalcond[6]=((((-1.0)*new_r01*x455))+gconst17);
+evalcond[7]=((((-1.0)*gconst17*x455))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x456=IKPowWithIntegerCheck(IKsign(gconst17),-1);
+if(!x456.valid){
+continue;
+}
+CheckValue<IkReal> x457 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x457.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x456.value)))+(x457.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x458=IKcos(j0);
+IkReal x459=IKsin(j0);
+IkReal x460=(gconst17*x458);
+IkReal x461=((1.0)*x459);
+evalcond[0]=(new_r00*x459);
+evalcond[1]=(new_r01*x458);
+evalcond[2]=x460;
+evalcond[3]=(gconst17*x459);
+evalcond[4]=(((new_r00*x458))+gconst17);
+evalcond[5]=(x460+new_r00);
+evalcond[6]=(gconst17+(((-1.0)*new_r01*x461)));
+evalcond[7]=((((-1.0)*gconst17*x461))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x462=((1.0)*gconst17);
+CheckValue<IkReal> x463=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x463.valid){
+continue;
+}
+CheckValue<IkReal> x464 = IKatan2WithCheck(IkReal(((((-1.0)*new_r11*x462))+((gconst17*new_r00)))),IkReal(((((-1.0)*new_r10*x462))+(((-1.0)*new_r01*x462)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x464.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x463.value)))+(x464.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x465=IKsin(j0);
+IkReal x466=IKcos(j0);
+IkReal x467=(gconst17*x466);
+IkReal x468=(gconst18*x465);
+IkReal x469=(gconst17*x465);
+IkReal x470=((1.0)*x466);
+IkReal x471=(x468+x467);
+evalcond[0]=(((new_r10*x465))+((new_r00*x466))+gconst17);
+evalcond[1]=(((new_r11*x465))+((new_r01*x466))+gconst18);
+evalcond[2]=(x471+new_r00);
+evalcond[3]=(x471+new_r11);
+evalcond[4]=(((new_r11*x466))+gconst17+(((-1.0)*new_r01*x465)));
+evalcond[5]=(((new_r00*x465))+gconst18+(((-1.0)*new_r10*x470)));
+evalcond[6]=((((-1.0)*x469))+((gconst18*x466))+new_r01);
+evalcond[7]=((((-1.0)*gconst18*x470))+x469+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x472=((1.0)*gconst18);
+CheckValue<IkReal> x473 = IKatan2WithCheck(IkReal(((((-1.0)*gconst17*x472))+((new_r00*new_r01)))),IkReal(((gconst18*gconst18)+(((-1.0)*new_r00*new_r11)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x473.valid){
+continue;
+}
+CheckValue<IkReal> x474=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r01*x472))+((gconst17*new_r11)))),-1);
+if(!x474.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x473.value)+(((1.5707963267949)*(x474.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x475=IKsin(j0);
+IkReal x476=IKcos(j0);
+IkReal x477=(gconst17*x476);
+IkReal x478=(gconst18*x475);
+IkReal x479=(gconst17*x475);
+IkReal x480=((1.0)*x476);
+IkReal x481=(x477+x478);
+evalcond[0]=(((new_r10*x475))+gconst17+((new_r00*x476)));
+evalcond[1]=(((new_r01*x476))+gconst18+((new_r11*x475)));
+evalcond[2]=(x481+new_r00);
+evalcond[3]=(x481+new_r11);
+evalcond[4]=(gconst17+((new_r11*x476))+(((-1.0)*new_r01*x475)));
+evalcond[5]=((((-1.0)*new_r10*x480))+gconst18+((new_r00*x475)));
+evalcond[6]=((((-1.0)*x479))+((gconst18*x476))+new_r01);
+evalcond[7]=(x479+(((-1.0)*gconst18*x480))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x482=IKPowWithIntegerCheck(IKsign((((new_r00*new_r11))+(((-1.0)*new_r01*new_r10)))),-1);
+if(!x482.valid){
+continue;
+}
+CheckValue<IkReal> x483 = IKatan2WithCheck(IkReal(((((-1.0)*gconst18*new_r00))+((gconst17*new_r01)))),IkReal((((gconst18*new_r10))+(((-1.0)*gconst17*new_r11)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x483.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x482.value)))+(x483.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x484=IKsin(j0);
+IkReal x485=IKcos(j0);
+IkReal x486=(gconst17*x485);
+IkReal x487=(gconst18*x484);
+IkReal x488=(gconst17*x484);
+IkReal x489=((1.0)*x485);
+IkReal x490=(x487+x486);
+evalcond[0]=(gconst17+((new_r10*x484))+((new_r00*x485)));
+evalcond[1]=(((new_r11*x484))+gconst18+((new_r01*x485)));
+evalcond[2]=(x490+new_r00);
+evalcond[3]=(x490+new_r11);
+evalcond[4]=((((-1.0)*new_r01*x484))+((new_r11*x485))+gconst17);
+evalcond[5]=((((-1.0)*new_r10*x489))+gconst18+((new_r00*x484)));
+evalcond[6]=((((-1.0)*x488))+new_r01+((gconst18*x485)));
+evalcond[7]=(x488+(((-1.0)*gconst18*x489))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x493 = ((new_r10*new_r10)+(new_r00*new_r00));
+if(IKabs(x493)==0){
+continue;
+}
+IkReal x491=pow(x493,-0.5);
+IkReal x492=((1.0)*x491);
+CheckValue<IkReal> x494 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x494.valid){
+continue;
+}
+IkReal gconst19=((3.14159265358979)+(((-1.0)*(x494.value))));
+IkReal gconst20=(new_r00*x492);
+IkReal gconst21=(new_r10*x492);
+CheckValue<IkReal> x495 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x495.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x495.value)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x499 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x499.valid){
+continue;
+}
+IkReal x496=((1.0)*(x499.value));
+IkReal x497=x491;
+IkReal x498=((1.0)*x497);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x496)));
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x496)));
+IkReal gconst20=(new_r00*x498);
+IkReal gconst21=(new_r10*x498);
+IkReal x500=new_r10*new_r10;
+IkReal x501=((1.0)*new_r10);
+IkReal x502=(new_r00*new_r11);
+IkReal x503=((((-1.0)*new_r01*x501))+x502);
+IkReal x504=x491;
+IkReal x505=(new_r00*x504);
+j0eval[0]=x503;
+j0eval[1]=IKsign(x503);
+j0eval[2]=((IKabs((((x500*x504))+(((-1.0)*x502*x504)))))+(IKabs(((((-1.0)*x501*x505))+((new_r01*x505))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x509 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x509.valid){
+continue;
+}
+IkReal x506=((1.0)*(x509.value));
+IkReal x507=x491;
+IkReal x508=((1.0)*x507);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x506)));
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x506)));
+IkReal gconst20=(new_r00*x508);
+IkReal gconst21=(new_r10*x508);
+IkReal x510=new_r10*new_r10;
+IkReal x511=new_r00*new_r00*new_r00;
+CheckValue<IkReal> x515=IKPowWithIntegerCheck((x510+(new_r00*new_r00)),-1);
+if(!x515.valid){
+continue;
+}
+IkReal x512=x515.value;
+IkReal x513=((1.0)*x512);
+IkReal x514=(x510*x512);
+j0eval[0]=((IKabs(((((-1.0)*new_r00*new_r11*x510*x513))+x514+(((-1.0)*new_r11*x511*x513)))))+(IKabs((((new_r00*new_r01*x514))+(((-1.0)*new_r00*new_r10*x513))+((new_r01*x511*x512))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x519 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x519.valid){
+continue;
+}
+IkReal x516=((1.0)*(x519.value));
+IkReal x517=x491;
+IkReal x518=((1.0)*x517);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x516)));
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x516)));
+IkReal gconst20=(new_r00*x518);
+IkReal gconst21=(new_r10*x518);
+IkReal x520=new_r00*new_r00;
+IkReal x521=(new_r00*new_r01);
+IkReal x522=(((new_r10*new_r11))+x521);
+IkReal x523=x491;
+IkReal x524=((1.0)*x523);
+j0eval[0]=x522;
+j0eval[1]=((IKabs(((((-1.0)*new_r00*new_r11*x524))+((x520*x523)))))+(IKabs(((((-1.0)*x521*x524))+(((-1.0)*new_r00*new_r10*x524))))));
+j0eval[2]=IKsign(x522);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[3];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x526 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x526.valid){
+continue;
+}
+IkReal x525=((1.0)*(x526.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x525)));
+new_r11=0;
+new_r00=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x525)));
+IkReal gconst20=0;
+IkReal x527 = new_r10*new_r10;
+if(IKabs(x527)==0){
+continue;
+}
+IkReal gconst21=((1.0)*new_r10*(pow(x527,-0.5)));
+j0eval[0]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x528=IKPowWithIntegerCheck(gconst21,-1);
+if(!x528.valid){
+continue;
+}
+cj0array[0]=(new_r10*(x528.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x529=IKsin(j0);
+IkReal x530=IKcos(j0);
+evalcond[0]=(new_r10*x529);
+evalcond[1]=(gconst21*x529);
+evalcond[2]=((-1.0)*new_r01*x529);
+evalcond[3]=(((new_r01*x530))+gconst21);
+evalcond[4]=(new_r01+((gconst21*x530)));
+evalcond[5]=(gconst21+(((-1.0)*new_r10*x530)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x531=IKPowWithIntegerCheck(new_r10,-1);
+if(!x531.valid){
+continue;
+}
+cj0array[0]=(gconst21*(x531.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x532=IKsin(j0);
+IkReal x533=IKcos(j0);
+IkReal x534=(gconst21*x533);
+evalcond[0]=(new_r10*x532);
+evalcond[1]=(gconst21*x532);
+evalcond[2]=((-1.0)*new_r01*x532);
+evalcond[3]=(((new_r01*x533))+gconst21);
+evalcond[4]=(x534+new_r01);
+evalcond[5]=((((-1.0)*x534))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+evalcond[1]=gconst20;
+evalcond[2]=gconst21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x536 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x536.valid){
+continue;
+}
+IkReal x535=((1.0)*(x536.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x535)));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x535)));
+IkReal gconst20=((1.0)*new_r00);
+IkReal gconst21=((1.0)*new_r10);
+j0eval[0]=-1.0;
+j0eval[1]=-1.0;
+j0eval[2]=((IKabs(((1.0)+(((-1.0)*(new_r10*new_r10))))))+(IKabs(((1.0)*new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[4];
+CheckValue<IkReal> x538 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x538.valid){
+continue;
+}
+IkReal x537=((1.0)*(x538.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x537)));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x537)));
+IkReal gconst20=((1.0)*new_r00);
+IkReal gconst21=((1.0)*new_r10);
+j0eval[0]=-1.0;
+j0eval[1]=-1.0;
+j0eval[2]=new_r10;
+j0eval[3]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 || IKabs(j0eval[3]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x540 = IKatan2WithCheck(IkReal(new_r00),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x540.valid){
+continue;
+}
+IkReal x539=((1.0)*(x540.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x539)));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x539)));
+IkReal gconst20=((1.0)*new_r00);
+IkReal gconst21=((1.0)*new_r10);
+j0eval[0]=-1.0;
+j0eval[1]=((IKabs(((1.0)+(((-1.0)*(new_r10*new_r10))))))+(IKabs(((1.0)*new_r00*new_r10))));
+j0eval[2]=-1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x541 = IKatan2WithCheck(IkReal((gconst21*new_r00)),IkReal((gconst20*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x541.valid){
+continue;
+}
+CheckValue<IkReal> x542=IKPowWithIntegerCheck(IKsign(((((-1.0)*(gconst20*gconst20)))+(((-1.0)*(gconst21*gconst21))))),-1);
+if(!x542.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x541.value)+(((1.5707963267949)*(x542.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x543=IKcos(j0);
+IkReal x544=IKsin(j0);
+IkReal x545=(gconst21*x544);
+IkReal x546=(gconst20*x543);
+IkReal x547=((1.0)*x543);
+IkReal x548=(gconst20*x544);
+IkReal x549=(x545+x546);
+evalcond[0]=x549;
+evalcond[1]=(((new_r00*x543))+((new_r10*x544))+gconst20);
+evalcond[2]=(x549+new_r00);
+evalcond[3]=((((-1.0)*x548))+((gconst21*x543)));
+evalcond[4]=(((new_r00*x544))+gconst21+(((-1.0)*new_r10*x547)));
+evalcond[5]=(x548+new_r10+(((-1.0)*gconst21*x547)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x550 = IKatan2WithCheck(IkReal((gconst20*gconst21)),IkReal(((-1.0)*(gconst21*gconst21))),IKFAST_ATAN2_MAGTHRESH);
+if(!x550.valid){
+continue;
+}
+CheckValue<IkReal> x551=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst21*new_r10))+(((-1.0)*gconst20*new_r00)))),-1);
+if(!x551.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x550.value)+(((1.5707963267949)*(x551.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x552=IKcos(j0);
+IkReal x553=IKsin(j0);
+IkReal x554=(gconst21*x553);
+IkReal x555=(gconst20*x552);
+IkReal x556=((1.0)*x552);
+IkReal x557=(gconst20*x553);
+IkReal x558=(x555+x554);
+evalcond[0]=x558;
+evalcond[1]=(((new_r10*x553))+gconst20+((new_r00*x552)));
+evalcond[2]=(x558+new_r00);
+evalcond[3]=((((-1.0)*x557))+((gconst21*x552)));
+evalcond[4]=(gconst21+(((-1.0)*new_r10*x556))+((new_r00*x553)));
+evalcond[5]=(x557+(((-1.0)*gconst21*x556))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x559 = IKatan2WithCheck(IkReal((gconst20*gconst21)),IkReal(gconst20*gconst20),IKFAST_ATAN2_MAGTHRESH);
+if(!x559.valid){
+continue;
+}
+CheckValue<IkReal> x560=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst21*new_r10))+(((-1.0)*gconst20*new_r00)))),-1);
+if(!x560.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x559.value)+(((1.5707963267949)*(x560.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x561=IKcos(j0);
+IkReal x562=IKsin(j0);
+IkReal x563=(gconst21*x562);
+IkReal x564=(gconst20*x561);
+IkReal x565=((1.0)*x561);
+IkReal x566=(gconst20*x562);
+IkReal x567=(x564+x563);
+evalcond[0]=x567;
+evalcond[1]=(((new_r00*x561))+gconst20+((new_r10*x562)));
+evalcond[2]=(x567+new_r00);
+evalcond[3]=(((gconst21*x561))+(((-1.0)*x566)));
+evalcond[4]=(((new_r00*x562))+gconst21+(((-1.0)*new_r10*x565)));
+evalcond[5]=((((-1.0)*gconst21*x565))+x566+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x569 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x569.valid){
+continue;
+}
+IkReal x568=((1.0)*(x569.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x568)));
+new_r01=0;
+new_r10=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x568)));
+IkReal x570 = new_r00*new_r00;
+if(IKabs(x570)==0){
+continue;
+}
+IkReal gconst20=((1.0)*new_r00*(pow(x570,-0.5)));
+IkReal gconst21=0;
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x572 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x572.valid){
+continue;
+}
+IkReal x571=((1.0)*(x572.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x571)));
+new_r01=0;
+new_r10=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x571)));
+IkReal x573 = new_r00*new_r00;
+if(IKabs(x573)==0){
+continue;
+}
+IkReal gconst20=((1.0)*new_r00*(pow(x573,-0.5)));
+IkReal gconst21=0;
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x574=IKPowWithIntegerCheck(gconst20,-1);
+if(!x574.valid){
+continue;
+}
+cj0array[0]=((-1.0)*new_r00*(x574.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x575=IKsin(j0);
+IkReal x576=IKcos(j0);
+evalcond[0]=(new_r00*x575);
+evalcond[1]=(new_r11*x575);
+evalcond[2]=((-1.0)*gconst20*x575);
+evalcond[3]=(((new_r11*x576))+gconst20);
+evalcond[4]=(((new_r00*x576))+gconst20);
+evalcond[5]=(((gconst20*x576))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x577=IKPowWithIntegerCheck(new_r00,-1);
+if(!x577.valid){
+continue;
+}
+cj0array[0]=((-1.0)*gconst20*(x577.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x578=IKsin(j0);
+IkReal x579=IKcos(j0);
+IkReal x580=(gconst20*x579);
+evalcond[0]=(new_r00*x578);
+evalcond[1]=(new_r11*x578);
+evalcond[2]=((-1.0)*gconst20*x578);
+evalcond[3]=(((new_r11*x579))+gconst20);
+evalcond[4]=(x580+new_r00);
+evalcond[5]=(x580+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x581=IKPowWithIntegerCheck(new_r11,-1);
+if(!x581.valid){
+continue;
+}
+cj0array[0]=((-1.0)*gconst20*(x581.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x582=IKsin(j0);
+IkReal x583=IKcos(j0);
+IkReal x584=(gconst20*x583);
+evalcond[0]=(new_r00*x582);
+evalcond[1]=(new_r11*x582);
+evalcond[2]=((-1.0)*gconst20*x582);
+evalcond[3]=(gconst20+((new_r00*x583)));
+evalcond[4]=(x584+new_r00);
+evalcond[5]=(x584+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x586 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x586.valid){
+continue;
+}
+IkReal x585=((1.0)*(x586.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x585)));
+new_r00=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x585)));
+IkReal gconst20=0;
+IkReal x587 = new_r10*new_r10;
+if(IKabs(x587)==0){
+continue;
+}
+IkReal gconst21=((1.0)*new_r10*(pow(x587,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x589 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x589.valid){
+continue;
+}
+IkReal x588=((1.0)*(x589.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x588)));
+new_r00=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x588)));
+IkReal gconst20=0;
+IkReal x590 = new_r10*new_r10;
+if(IKabs(x590)==0){
+continue;
+}
+IkReal gconst21=((1.0)*new_r10*(pow(x590,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x592 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x592.valid){
+continue;
+}
+IkReal x591=((1.0)*(x592.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x591)));
+new_r00=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x591)));
+IkReal gconst20=0;
+IkReal x593 = new_r10*new_r10;
+if(IKabs(x593)==0){
+continue;
+}
+IkReal gconst21=((1.0)*new_r10*(pow(x593,-0.5)));
+j0eval[0]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x594=IKPowWithIntegerCheck(gconst21,-1);
+if(!x594.valid){
+continue;
+}
+CheckValue<IkReal> x595=IKPowWithIntegerCheck(new_r10,-1);
+if(!x595.valid){
+continue;
+}
+if( IKabs(((-1.0)*new_r11*(x594.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst21*(x595.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11*(x594.value)))+IKsqr((gconst21*(x595.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*new_r11*(x594.value)), (gconst21*(x595.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x596=IKsin(j0);
+IkReal x597=IKcos(j0);
+IkReal x598=(gconst21*x596);
+IkReal x599=((1.0)*x597);
+evalcond[0]=(new_r10*x596);
+evalcond[1]=x598;
+evalcond[2]=(x598+new_r11);
+evalcond[3]=(((gconst21*x597))+new_r01);
+evalcond[4]=((((-1.0)*new_r10*x599))+gconst21);
+evalcond[5]=((((-1.0)*gconst21*x599))+new_r10);
+evalcond[6]=(((new_r11*x597))+(((-1.0)*new_r01*x596)));
+evalcond[7]=(((new_r11*x596))+gconst21+((new_r01*x597)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x600=IKPowWithIntegerCheck(IKsign(gconst21),-1);
+if(!x600.valid){
+continue;
+}
+CheckValue<IkReal> x601 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x601.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x600.value)))+(x601.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x602=IKsin(j0);
+IkReal x603=IKcos(j0);
+IkReal x604=(gconst21*x602);
+IkReal x605=((1.0)*x603);
+evalcond[0]=(new_r10*x602);
+evalcond[1]=x604;
+evalcond[2]=(x604+new_r11);
+evalcond[3]=(((gconst21*x603))+new_r01);
+evalcond[4]=((((-1.0)*new_r10*x605))+gconst21);
+evalcond[5]=(new_r10+(((-1.0)*gconst21*x605)));
+evalcond[6]=(((new_r11*x603))+(((-1.0)*new_r01*x602)));
+evalcond[7]=(gconst21+((new_r11*x602))+((new_r01*x603)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x606=IKPowWithIntegerCheck(IKsign(gconst21),-1);
+if(!x606.valid){
+continue;
+}
+CheckValue<IkReal> x607 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x607.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x606.value)))+(x607.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x608=IKsin(j0);
+IkReal x609=IKcos(j0);
+IkReal x610=(gconst21*x608);
+IkReal x611=((1.0)*x609);
+evalcond[0]=(new_r10*x608);
+evalcond[1]=x610;
+evalcond[2]=(x610+new_r11);
+evalcond[3]=(((gconst21*x609))+new_r01);
+evalcond[4]=(gconst21+(((-1.0)*new_r10*x611)));
+evalcond[5]=((((-1.0)*gconst21*x611))+new_r10);
+evalcond[6]=(((new_r11*x609))+(((-1.0)*new_r01*x608)));
+evalcond[7]=(gconst21+((new_r11*x608))+((new_r01*x609)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x613 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x613.valid){
+continue;
+}
+IkReal x612=((1.0)*(x613.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x612)));
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x612)));
+IkReal x614 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x614)==0){
+continue;
+}
+IkReal gconst20=((1.0)*new_r00*(pow(x614,-0.5)));
+IkReal gconst21=0;
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x616 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x616.valid){
+continue;
+}
+IkReal x615=((1.0)*(x616.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x615)));
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x615)));
+IkReal x617 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x617)==0){
+continue;
+}
+IkReal gconst20=((1.0)*new_r00*(pow(x617,-0.5)));
+IkReal gconst21=0;
+j0eval[0]=new_r01;
+j0eval[1]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x619 = IKatan2WithCheck(IkReal(new_r00),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x619.valid){
+continue;
+}
+IkReal x618=((1.0)*(x619.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst20;
+cj2=gconst21;
+j2=((3.14159265)+(((-1.0)*x618)));
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst19=((3.14159265358979)+(((-1.0)*x618)));
+IkReal x620 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x620)==0){
+continue;
+}
+IkReal gconst20=((1.0)*new_r00*(pow(x620,-0.5)));
+IkReal gconst21=0;
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x621=IKPowWithIntegerCheck(gconst20,-1);
+if(!x621.valid){
+continue;
+}
+CheckValue<IkReal> x622=IKPowWithIntegerCheck(new_r00,-1);
+if(!x622.valid){
+continue;
+}
+if( IKabs((new_r01*(x621.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst20*(x622.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*(x621.value)))+IKsqr(((-1.0)*gconst20*(x622.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r01*(x621.value)), ((-1.0)*gconst20*(x622.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x623=IKcos(j0);
+IkReal x624=IKsin(j0);
+IkReal x625=(gconst20*x623);
+IkReal x626=((1.0)*x624);
+evalcond[0]=(new_r00*x624);
+evalcond[1]=(new_r01*x623);
+evalcond[2]=x625;
+evalcond[3]=(gconst20*x624);
+evalcond[4]=(gconst20+((new_r00*x623)));
+evalcond[5]=(x625+new_r00);
+evalcond[6]=((((-1.0)*new_r01*x626))+gconst20);
+evalcond[7]=(new_r01+(((-1.0)*gconst20*x626)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x627=IKPowWithIntegerCheck(new_r01,-1);
+if(!x627.valid){
+continue;
+}
+CheckValue<IkReal> x628=IKPowWithIntegerCheck(new_r00,-1);
+if(!x628.valid){
+continue;
+}
+if( IKabs((gconst20*(x627.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst20*(x628.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst20*(x627.value)))+IKsqr(((-1.0)*gconst20*(x628.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst20*(x627.value)), ((-1.0)*gconst20*(x628.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x629=IKcos(j0);
+IkReal x630=IKsin(j0);
+IkReal x631=(gconst20*x629);
+IkReal x632=((1.0)*x630);
+evalcond[0]=(new_r00*x630);
+evalcond[1]=(new_r01*x629);
+evalcond[2]=x631;
+evalcond[3]=(gconst20*x630);
+evalcond[4]=(gconst20+((new_r00*x629)));
+evalcond[5]=(x631+new_r00);
+evalcond[6]=((((-1.0)*new_r01*x632))+gconst20);
+evalcond[7]=((((-1.0)*gconst20*x632))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x633 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x633.valid){
+continue;
+}
+CheckValue<IkReal> x634=IKPowWithIntegerCheck(IKsign(gconst20),-1);
+if(!x634.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x633.value)+(((1.5707963267949)*(x634.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x635=IKcos(j0);
+IkReal x636=IKsin(j0);
+IkReal x637=(gconst20*x635);
+IkReal x638=((1.0)*x636);
+evalcond[0]=(new_r00*x636);
+evalcond[1]=(new_r01*x635);
+evalcond[2]=x637;
+evalcond[3]=(gconst20*x636);
+evalcond[4]=(gconst20+((new_r00*x635)));
+evalcond[5]=(x637+new_r00);
+evalcond[6]=((((-1.0)*new_r01*x638))+gconst20);
+evalcond[7]=((((-1.0)*gconst20*x638))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x639=((1.0)*gconst20);
+CheckValue<IkReal> x640=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x640.valid){
+continue;
+}
+CheckValue<IkReal> x641 = IKatan2WithCheck(IkReal((((gconst20*new_r00))+(((-1.0)*new_r11*x639)))),IkReal(((((-1.0)*new_r01*x639))+(((-1.0)*new_r10*x639)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x641.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x640.value)))+(x641.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x642=IKsin(j0);
+IkReal x643=IKcos(j0);
+IkReal x644=(gconst21*x642);
+IkReal x645=(gconst20*x643);
+IkReal x646=((1.0)*x643);
+IkReal x647=(gconst20*x642);
+IkReal x648=(x645+x644);
+evalcond[0]=(gconst20+((new_r10*x642))+((new_r00*x643)));
+evalcond[1]=(gconst21+((new_r11*x642))+((new_r01*x643)));
+evalcond[2]=(x648+new_r00);
+evalcond[3]=(x648+new_r11);
+evalcond[4]=((((-1.0)*new_r01*x642))+gconst20+((new_r11*x643)));
+evalcond[5]=(gconst21+(((-1.0)*new_r10*x646))+((new_r00*x642)));
+evalcond[6]=((((-1.0)*x647))+((gconst21*x643))+new_r01);
+evalcond[7]=((((-1.0)*gconst21*x646))+x647+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x649=((1.0)*gconst21);
+CheckValue<IkReal> x650 = IKatan2WithCheck(IkReal(((((-1.0)*gconst20*x649))+((new_r00*new_r01)))),IkReal(((gconst21*gconst21)+(((-1.0)*new_r00*new_r11)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x650.valid){
+continue;
+}
+CheckValue<IkReal> x651=IKPowWithIntegerCheck(IKsign((((gconst20*new_r11))+(((-1.0)*new_r01*x649)))),-1);
+if(!x651.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x650.value)+(((1.5707963267949)*(x651.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x652=IKsin(j0);
+IkReal x653=IKcos(j0);
+IkReal x654=(gconst21*x652);
+IkReal x655=(gconst20*x653);
+IkReal x656=((1.0)*x653);
+IkReal x657=(gconst20*x652);
+IkReal x658=(x654+x655);
+evalcond[0]=(gconst20+((new_r10*x652))+((new_r00*x653)));
+evalcond[1]=(gconst21+((new_r01*x653))+((new_r11*x652)));
+evalcond[2]=(x658+new_r00);
+evalcond[3]=(x658+new_r11);
+evalcond[4]=(gconst20+(((-1.0)*new_r01*x652))+((new_r11*x653)));
+evalcond[5]=(gconst21+(((-1.0)*new_r10*x656))+((new_r00*x652)));
+evalcond[6]=((((-1.0)*x657))+((gconst21*x653))+new_r01);
+evalcond[7]=((((-1.0)*gconst21*x656))+x657+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x659 = IKatan2WithCheck(IkReal(((((-1.0)*gconst21*new_r00))+((gconst20*new_r01)))),IkReal((((gconst21*new_r10))+(((-1.0)*gconst20*new_r11)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x659.valid){
+continue;
+}
+CheckValue<IkReal> x660=IKPowWithIntegerCheck(IKsign((((new_r00*new_r11))+(((-1.0)*new_r01*new_r10)))),-1);
+if(!x660.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x659.value)+(((1.5707963267949)*(x660.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x661=IKsin(j0);
+IkReal x662=IKcos(j0);
+IkReal x663=(gconst21*x661);
+IkReal x664=(gconst20*x662);
+IkReal x665=((1.0)*x662);
+IkReal x666=(gconst20*x661);
+IkReal x667=(x663+x664);
+evalcond[0]=(gconst20+((new_r10*x661))+((new_r00*x662)));
+evalcond[1]=(gconst21+((new_r11*x661))+((new_r01*x662)));
+evalcond[2]=(x667+new_r00);
+evalcond[3]=(x667+new_r11);
+evalcond[4]=(gconst20+((new_r11*x662))+(((-1.0)*new_r01*x661)));
+evalcond[5]=(gconst21+(((-1.0)*new_r10*x665))+((new_r00*x661)));
+evalcond[6]=((((-1.0)*x666))+((gconst21*x662))+new_r01);
+evalcond[7]=((((-1.0)*gconst21*x665))+x666+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x668=((-1.0)*new_r11);
+IkReal x670 = ((new_r01*new_r01)+(new_r11*new_r11));
+if(IKabs(x670)==0){
+continue;
+}
+IkReal x669=pow(x670,-0.5);
+CheckValue<IkReal> x671 = IKatan2WithCheck(IkReal(new_r01),IkReal(x668),IKFAST_ATAN2_MAGTHRESH);
+if(!x671.valid){
+continue;
+}
+IkReal gconst22=((-1.0)*(x671.value));
+IkReal gconst23=((-1.0)*new_r01*x669);
+IkReal gconst24=(x668*x669);
+CheckValue<IkReal> x672 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x672.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x672.value)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+IkReal x673=((-1.0)*new_r11);
+CheckValue<IkReal> x676 = IKatan2WithCheck(IkReal(new_r01),IkReal(x673),IKFAST_ATAN2_MAGTHRESH);
+if(!x676.valid){
+continue;
+}
+IkReal x674=((-1.0)*(x676.value));
+IkReal x675=x669;
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x674;
+IkReal gconst22=x674;
+IkReal gconst23=((-1.0)*new_r01*x675);
+IkReal gconst24=(x673*x675);
+IkReal x677=new_r01*new_r01;
+IkReal x678=((1.0)*new_r10);
+IkReal x679=((((-1.0)*new_r01*x678))+((new_r00*new_r11)));
+IkReal x680=x669;
+IkReal x681=(new_r11*x680);
+j0eval[0]=x679;
+j0eval[1]=IKsign(x679);
+j0eval[2]=((IKabs(((((-1.0)*x678*x681))+((new_r01*x681)))))+(IKabs((((new_r00*x681))+(((-1.0)*x677*x680))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x682=((-1.0)*new_r11);
+CheckValue<IkReal> x685 = IKatan2WithCheck(IkReal(new_r01),IkReal(x682),IKFAST_ATAN2_MAGTHRESH);
+if(!x685.valid){
+continue;
+}
+IkReal x683=((-1.0)*(x685.value));
+IkReal x684=x669;
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x683;
+IkReal gconst22=x683;
+IkReal gconst23=((-1.0)*new_r01*x684);
+IkReal gconst24=(x682*x684);
+IkReal x686=new_r01*new_r01;
+IkReal x687=(((new_r10*new_r11))+((new_r00*new_r01)));
+IkReal x688=x669;
+IkReal x689=(new_r01*x688);
+j0eval[0]=x687;
+j0eval[1]=((IKabs(((((-1.0)*new_r00*x689))+((new_r11*x689)))))+(IKabs((((x686*x688))+((new_r10*x689))))));
+j0eval[2]=IKsign(x687);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x690=((-1.0)*new_r11);
+CheckValue<IkReal> x693 = IKatan2WithCheck(IkReal(new_r01),IkReal(x690),IKFAST_ATAN2_MAGTHRESH);
+if(!x693.valid){
+continue;
+}
+IkReal x691=((-1.0)*(x693.value));
+IkReal x692=x669;
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x691;
+IkReal gconst22=x691;
+IkReal gconst23=((-1.0)*new_r01*x692);
+IkReal gconst24=(x690*x692);
+IkReal x694=new_r01*new_r01;
+CheckValue<IkReal> x696=IKPowWithIntegerCheck(((new_r11*new_r11)+x694),-1);
+if(!x696.valid){
+continue;
+}
+IkReal x695=x696.value;
+j0eval[0]=((IKabs(((((-1.0)*x694*x695))+(new_r00*new_r00))))+(IKabs((((new_r01*new_r11*x695))+(((-1.0)*new_r00*new_r10))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[3];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+evalcond[1]=gconst24;
+evalcond[2]=gconst23;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+IkReal x697=((-1.0)*new_r11);
+CheckValue<IkReal> x699 = IKatan2WithCheck(IkReal(new_r01),IkReal(x697),IKFAST_ATAN2_MAGTHRESH);
+if(!x699.valid){
+continue;
+}
+IkReal x698=((-1.0)*(x699.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x698;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst22=x698;
+IkReal gconst23=((-1.0)*new_r01);
+IkReal gconst24=x697;
+j0eval[0]=-1.0;
+j0eval[1]=((IKabs(new_r01*new_r01))+(IKabs((new_r01*new_r11))));
+j0eval[2]=-1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x700=((-1.0)*new_r11);
+CheckValue<IkReal> x702 = IKatan2WithCheck(IkReal(new_r01),IkReal(x700),IKFAST_ATAN2_MAGTHRESH);
+if(!x702.valid){
+continue;
+}
+IkReal x701=((-1.0)*(x702.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x701;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst22=x701;
+IkReal gconst23=((-1.0)*new_r01);
+IkReal gconst24=x700;
+j0eval[0]=1.0;
+j0eval[1]=((IKabs(new_r01*new_r01))+(IKabs((new_r01*new_r11))));
+j0eval[2]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x703=((-1.0)*new_r11);
+CheckValue<IkReal> x705 = IKatan2WithCheck(IkReal(new_r01),IkReal(x703),IKFAST_ATAN2_MAGTHRESH);
+if(!x705.valid){
+continue;
+}
+IkReal x704=((-1.0)*(x705.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x704;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst22=x704;
+IkReal gconst23=((-1.0)*new_r01);
+IkReal gconst24=x703;
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs((new_r01*new_r11)))+(IKabs(((1.0)+(((-1.0)*(new_r01*new_r01)))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x706 = IKatan2WithCheck(IkReal(gconst24*gconst24),IkReal((gconst23*gconst24)),IKFAST_ATAN2_MAGTHRESH);
+if(!x706.valid){
+continue;
+}
+CheckValue<IkReal> x707=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst24*new_r11))+(((-1.0)*gconst23*new_r01)))),-1);
+if(!x707.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x706.value)+(((1.5707963267949)*(x707.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x708=IKsin(j0);
+IkReal x709=IKcos(j0);
+IkReal x710=(gconst23*x709);
+IkReal x711=(gconst24*x708);
+IkReal x712=(gconst24*x709);
+IkReal x713=((1.0)*x708);
+IkReal x714=(x711+x710);
+evalcond[0]=x714;
+evalcond[1]=(((new_r01*x709))+gconst24+((new_r11*x708)));
+evalcond[2]=(x714+new_r11);
+evalcond[3]=((((-1.0)*x712))+((gconst23*x708)));
+evalcond[4]=(gconst23+((new_r11*x709))+(((-1.0)*new_r01*x713)));
+evalcond[5]=((((-1.0)*gconst23*x713))+x712+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x715=IKPowWithIntegerCheck(IKsign(((gconst23*gconst23)+(gconst24*gconst24))),-1);
+if(!x715.valid){
+continue;
+}
+CheckValue<IkReal> x716 = IKatan2WithCheck(IkReal((gconst23*new_r01)),IkReal(((-1.0)*gconst24*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x716.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x715.value)))+(x716.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x717=IKsin(j0);
+IkReal x718=IKcos(j0);
+IkReal x719=(gconst23*x718);
+IkReal x720=(gconst24*x717);
+IkReal x721=(gconst24*x718);
+IkReal x722=((1.0)*x717);
+IkReal x723=(x719+x720);
+evalcond[0]=x723;
+evalcond[1]=(((new_r01*x718))+gconst24+((new_r11*x717)));
+evalcond[2]=(x723+new_r11);
+evalcond[3]=((((-1.0)*x721))+((gconst23*x717)));
+evalcond[4]=(gconst23+((new_r11*x718))+(((-1.0)*new_r01*x722)));
+evalcond[5]=((((-1.0)*gconst23*x722))+x721+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x724 = IKatan2WithCheck(IkReal(gconst23*gconst23),IkReal(((-1.0)*gconst23*gconst24)),IKFAST_ATAN2_MAGTHRESH);
+if(!x724.valid){
+continue;
+}
+CheckValue<IkReal> x725=IKPowWithIntegerCheck(IKsign((((gconst23*new_r01))+((gconst24*new_r11)))),-1);
+if(!x725.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x724.value)+(((1.5707963267949)*(x725.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x726=IKsin(j0);
+IkReal x727=IKcos(j0);
+IkReal x728=(gconst23*x727);
+IkReal x729=(gconst24*x726);
+IkReal x730=(gconst24*x727);
+IkReal x731=((1.0)*x726);
+IkReal x732=(x728+x729);
+evalcond[0]=x732;
+evalcond[1]=(gconst24+((new_r01*x727))+((new_r11*x726)));
+evalcond[2]=(x732+new_r11);
+evalcond[3]=((((-1.0)*x730))+((gconst23*x726)));
+evalcond[4]=(gconst23+(((-1.0)*new_r01*x731))+((new_r11*x727)));
+evalcond[5]=((((-1.0)*gconst23*x731))+x730+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+IkReal x733=((-1.0)*new_r11);
+CheckValue<IkReal> x735 = IKatan2WithCheck(IkReal(0),IkReal(x733),IKFAST_ATAN2_MAGTHRESH);
+if(!x735.valid){
+continue;
+}
+IkReal x734=((-1.0)*(x735.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x734;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst22=x734;
+IkReal gconst23=0;
+IkReal x736 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x736)==0){
+continue;
+}
+IkReal gconst24=(x733*(pow(x736,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+IkReal x737=((-1.0)*new_r11);
+CheckValue<IkReal> x739 = IKatan2WithCheck(IkReal(0),IkReal(x737),IKFAST_ATAN2_MAGTHRESH);
+if(!x739.valid){
+continue;
+}
+IkReal x738=((-1.0)*(x739.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x738;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst22=x738;
+IkReal gconst23=0;
+IkReal x740 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x740)==0){
+continue;
+}
+IkReal gconst24=(x737*(pow(x740,-0.5)));
+j0eval[0]=new_r11;
+j0eval[1]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x741=((-1.0)*new_r11);
+CheckValue<IkReal> x743 = IKatan2WithCheck(IkReal(0),IkReal(x741),IKFAST_ATAN2_MAGTHRESH);
+if(!x743.valid){
+continue;
+}
+IkReal x742=((-1.0)*(x743.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x742;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst22=x742;
+IkReal gconst23=0;
+IkReal x744 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x744)==0){
+continue;
+}
+IkReal gconst24=(x741*(pow(x744,-0.5)));
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x745=IKPowWithIntegerCheck(new_r11,-1);
+if(!x745.valid){
+continue;
+}
+CheckValue<IkReal> x746=IKPowWithIntegerCheck(gconst24,-1);
+if(!x746.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst24*(x745.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r10*(x746.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst24*(x745.value)))+IKsqr((new_r10*(x746.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst24*(x745.value)), (new_r10*(x746.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x747=IKsin(j0);
+IkReal x748=IKcos(j0);
+IkReal x749=(gconst24*x747);
+IkReal x750=((1.0)*x748);
+evalcond[0]=(new_r11*x748);
+evalcond[1]=(new_r10*x747);
+evalcond[2]=x749;
+evalcond[3]=(gconst24*x748);
+evalcond[4]=(gconst24+((new_r11*x747)));
+evalcond[5]=(x749+new_r11);
+evalcond[6]=(gconst24+(((-1.0)*new_r10*x750)));
+evalcond[7]=((((-1.0)*gconst24*x750))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x751=IKPowWithIntegerCheck(new_r11,-1);
+if(!x751.valid){
+continue;
+}
+CheckValue<IkReal> x752=IKPowWithIntegerCheck(new_r10,-1);
+if(!x752.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst24*(x751.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst24*(x752.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst24*(x751.value)))+IKsqr((gconst24*(x752.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst24*(x751.value)), (gconst24*(x752.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x753=IKsin(j0);
+IkReal x754=IKcos(j0);
+IkReal x755=(gconst24*x753);
+IkReal x756=((1.0)*x754);
+evalcond[0]=(new_r11*x754);
+evalcond[1]=(new_r10*x753);
+evalcond[2]=x755;
+evalcond[3]=(gconst24*x754);
+evalcond[4]=(gconst24+((new_r11*x753)));
+evalcond[5]=(x755+new_r11);
+evalcond[6]=(gconst24+(((-1.0)*new_r10*x756)));
+evalcond[7]=((((-1.0)*gconst24*x756))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x757=IKPowWithIntegerCheck(IKsign(gconst24),-1);
+if(!x757.valid){
+continue;
+}
+CheckValue<IkReal> x758 = IKatan2WithCheck(IkReal(((-1.0)*new_r11)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x758.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x757.value)))+(x758.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x759=IKsin(j0);
+IkReal x760=IKcos(j0);
+IkReal x761=(gconst24*x759);
+IkReal x762=((1.0)*x760);
+evalcond[0]=(new_r11*x760);
+evalcond[1]=(new_r10*x759);
+evalcond[2]=x761;
+evalcond[3]=(gconst24*x760);
+evalcond[4]=(gconst24+((new_r11*x759)));
+evalcond[5]=(x761+new_r11);
+evalcond[6]=(gconst24+(((-1.0)*new_r10*x762)));
+evalcond[7]=((((-1.0)*gconst24*x762))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x764 = IKatan2WithCheck(IkReal(new_r01),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x764.valid){
+continue;
+}
+IkReal x763=((-1.0)*(x764.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x763;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst22=x763;
+IkReal x765 = new_r01*new_r01;
+if(IKabs(x765)==0){
+continue;
+}
+IkReal gconst23=((-1.0)*new_r01*(pow(x765,-0.5)));
+IkReal gconst24=0;
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x767 = IKatan2WithCheck(IkReal(new_r01),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x767.valid){
+continue;
+}
+IkReal x766=((-1.0)*(x767.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x766;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst22=x766;
+IkReal x768 = new_r01*new_r01;
+if(IKabs(x768)==0){
+continue;
+}
+IkReal gconst23=((-1.0)*new_r01*(pow(x768,-0.5)));
+IkReal gconst24=0;
+j0eval[0]=new_r01;
+j0eval[1]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x770 = IKatan2WithCheck(IkReal(new_r01),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x770.valid){
+continue;
+}
+IkReal x769=((-1.0)*(x770.value));
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst23;
+cj2=gconst24;
+j2=x769;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst22=x769;
+IkReal x771 = new_r01*new_r01;
+if(IKabs(x771)==0){
+continue;
+}
+IkReal gconst23=((-1.0)*new_r01*(pow(x771,-0.5)));
+IkReal gconst24=0;
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x772=IKPowWithIntegerCheck(gconst23,-1);
+if(!x772.valid){
+continue;
+}
+CheckValue<IkReal> x773=IKPowWithIntegerCheck(new_r00,-1);
+if(!x773.valid){
+continue;
+}
+if( IKabs((new_r01*(x772.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst23*(x773.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*(x772.value)))+IKsqr(((-1.0)*gconst23*(x773.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r01*(x772.value)), ((-1.0)*gconst23*(x773.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x774=IKcos(j0);
+IkReal x775=IKsin(j0);
+IkReal x776=(gconst23*x774);
+IkReal x777=(gconst23*x775);
+evalcond[0]=(new_r00*x775);
+evalcond[1]=(new_r01*x774);
+evalcond[2]=x776;
+evalcond[3]=x777;
+evalcond[4]=(gconst23+((new_r00*x774)));
+evalcond[5]=(x776+new_r00);
+evalcond[6]=(gconst23+(((-1.0)*new_r01*x775)));
+evalcond[7]=(new_r01+(((-1.0)*x777)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x778=IKPowWithIntegerCheck(new_r01,-1);
+if(!x778.valid){
+continue;
+}
+CheckValue<IkReal> x779=IKPowWithIntegerCheck(new_r00,-1);
+if(!x779.valid){
+continue;
+}
+if( IKabs((gconst23*(x778.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst23*(x779.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst23*(x778.value)))+IKsqr(((-1.0)*gconst23*(x779.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst23*(x778.value)), ((-1.0)*gconst23*(x779.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x780=IKcos(j0);
+IkReal x781=IKsin(j0);
+IkReal x782=(gconst23*x780);
+IkReal x783=(gconst23*x781);
+evalcond[0]=(new_r00*x781);
+evalcond[1]=(new_r01*x780);
+evalcond[2]=x782;
+evalcond[3]=x783;
+evalcond[4]=(gconst23+((new_r00*x780)));
+evalcond[5]=(x782+new_r00);
+evalcond[6]=(gconst23+(((-1.0)*new_r01*x781)));
+evalcond[7]=((((-1.0)*x783))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x784 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x784.valid){
+continue;
+}
+CheckValue<IkReal> x785=IKPowWithIntegerCheck(IKsign(gconst23),-1);
+if(!x785.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x784.value)+(((1.5707963267949)*(x785.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x786=IKcos(j0);
+IkReal x787=IKsin(j0);
+IkReal x788=(gconst23*x786);
+IkReal x789=(gconst23*x787);
+evalcond[0]=(new_r00*x787);
+evalcond[1]=(new_r01*x786);
+evalcond[2]=x788;
+evalcond[3]=x789;
+evalcond[4]=(gconst23+((new_r00*x786)));
+evalcond[5]=(x788+new_r00);
+evalcond[6]=(gconst23+(((-1.0)*new_r01*x787)));
+evalcond[7]=((((-1.0)*x789))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x790=((1.0)*new_r00);
+CheckValue<IkReal> x791=IKPowWithIntegerCheck(IKsign((((gconst23*new_r10))+(((-1.0)*gconst24*x790)))),-1);
+if(!x791.valid){
+continue;
+}
+CheckValue<IkReal> x792 = IKatan2WithCheck(IkReal(((((-1.0)*(gconst23*gconst23)))+(new_r00*new_r00))),IkReal(((((-1.0)*new_r10*x790))+((gconst23*gconst24)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x792.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x791.value)))+(x792.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x793=IKsin(j0);
+IkReal x794=IKcos(j0);
+IkReal x795=(gconst23*x794);
+IkReal x796=(gconst24*x793);
+IkReal x797=((1.0)*x794);
+IkReal x798=((1.0)*x793);
+IkReal x799=(x795+x796);
+evalcond[0]=(((new_r10*x793))+gconst23+((new_r00*x794)));
+evalcond[1]=(((new_r11*x793))+gconst24+((new_r01*x794)));
+evalcond[2]=(x799+new_r00);
+evalcond[3]=(x799+new_r11);
+evalcond[4]=((((-1.0)*new_r01*x798))+((new_r11*x794))+gconst23);
+evalcond[5]=(gconst24+(((-1.0)*new_r10*x797))+((new_r00*x793)));
+evalcond[6]=((((-1.0)*gconst23*x798))+((gconst24*x794))+new_r01);
+evalcond[7]=((((-1.0)*gconst24*x797))+((gconst23*x793))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x800=((1.0)*gconst23);
+CheckValue<IkReal> x801 = IKatan2WithCheck(IkReal((((gconst23*new_r00))+(((-1.0)*new_r11*x800)))),IkReal(((((-1.0)*new_r01*x800))+(((-1.0)*new_r10*x800)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x801.valid){
+continue;
+}
+CheckValue<IkReal> x802=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x802.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x801.value)+(((1.5707963267949)*(x802.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x803=IKsin(j0);
+IkReal x804=IKcos(j0);
+IkReal x805=(gconst23*x804);
+IkReal x806=(gconst24*x803);
+IkReal x807=((1.0)*x804);
+IkReal x808=((1.0)*x803);
+IkReal x809=(x805+x806);
+evalcond[0]=(gconst23+((new_r00*x804))+((new_r10*x803)));
+evalcond[1]=(gconst24+((new_r11*x803))+((new_r01*x804)));
+evalcond[2]=(new_r00+x809);
+evalcond[3]=(new_r11+x809);
+evalcond[4]=((((-1.0)*new_r01*x808))+gconst23+((new_r11*x804)));
+evalcond[5]=(gconst24+((new_r00*x803))+(((-1.0)*new_r10*x807)));
+evalcond[6]=(new_r01+(((-1.0)*gconst23*x808))+((gconst24*x804)));
+evalcond[7]=((((-1.0)*gconst24*x807))+((gconst23*x803))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x810 = IKatan2WithCheck(IkReal((((gconst23*new_r01))+(((-1.0)*gconst24*new_r00)))),IkReal(((((-1.0)*gconst23*new_r11))+((gconst24*new_r10)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x810.valid){
+continue;
+}
+CheckValue<IkReal> x811=IKPowWithIntegerCheck(IKsign((((new_r00*new_r11))+(((-1.0)*new_r01*new_r10)))),-1);
+if(!x811.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x810.value)+(((1.5707963267949)*(x811.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x812=IKsin(j0);
+IkReal x813=IKcos(j0);
+IkReal x814=(gconst23*x813);
+IkReal x815=(gconst24*x812);
+IkReal x816=((1.0)*x813);
+IkReal x817=((1.0)*x812);
+IkReal x818=(x814+x815);
+evalcond[0]=(((new_r00*x813))+((new_r10*x812))+gconst23);
+evalcond[1]=(((new_r11*x812))+((new_r01*x813))+gconst24);
+evalcond[2]=(new_r00+x818);
+evalcond[3]=(new_r11+x818);
+evalcond[4]=(((new_r11*x813))+gconst23+(((-1.0)*new_r01*x817)));
+evalcond[5]=(((new_r00*x812))+gconst24+(((-1.0)*new_r10*x816)));
+evalcond[6]=((((-1.0)*gconst23*x817))+((gconst24*x813))+new_r01);
+evalcond[7]=(((gconst23*x812))+(((-1.0)*gconst24*x816))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x821 = ((new_r01*new_r01)+(new_r11*new_r11));
+if(IKabs(x821)==0){
+continue;
+}
+IkReal x819=pow(x821,-0.5);
+IkReal x820=((1.0)*x819);
+CheckValue<IkReal> x822 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x822.valid){
+continue;
+}
+IkReal gconst25=((3.14159265358979)+(((-1.0)*(x822.value))));
+IkReal gconst26=(new_r01*x820);
+IkReal gconst27=(new_r11*x820);
+CheckValue<IkReal> x823 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x823.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x823.value)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x827 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x827.valid){
+continue;
+}
+IkReal x824=((1.0)*(x827.value));
+IkReal x825=x819;
+IkReal x826=((1.0)*x825);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst26;
+cj2=gconst27;
+j2=((3.14159265)+(((-1.0)*x824)));
+IkReal gconst25=((3.14159265358979)+(((-1.0)*x824)));
+IkReal gconst26=(new_r01*x826);
+IkReal gconst27=(new_r11*x826);
+IkReal x828=new_r01*new_r01;
+IkReal x829=((1.0)*new_r01);
+IkReal x830=((((-1.0)*new_r10*x829))+((new_r00*new_r11)));
+IkReal x831=x819;
+IkReal x832=(new_r11*x831);
+j0eval[0]=x830;
+j0eval[1]=((IKabs(((((-1.0)*new_r00*x832))+((x828*x831)))))+(IKabs(((((-1.0)*x829*x832))+((new_r10*x832))))));
+j0eval[2]=IKsign(x830);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x836 = IKatan2WithCheck(IkReal(new_r01),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x836.valid){
+continue;
+}
+IkReal x833=((1.0)*(x836.value));
+IkReal x834=x819;
+IkReal x835=((1.0)*x834);
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+sj2=gconst26;
+cj2=gconst27;
+j2=((3.14159265)+(((-1.0)*x833)));
+IkReal gconst25=((3.14159265358979)+(((-1.0)*x833)));
+IkReal gconst26=(new_r01*x835);
+IkReal gconst27=(new_r11*x835);
+IkReal x837=new_r01*new_r01;
+IkReal x838=(new_r00*new_r01);
+IkReal x839=(((new_r10*new_r11))+x838);
+IkReal x840=x819;
+IkReal x841=((1.0)*new_r01*x840);
+j0eval[0]=x839;
+j0eval[1]=((IKabs((((x838*x840))+(((-1.0)*new_r11*x841)))))+(IKabs(((((-1.0)*new_r10*x841))+(((-1.0)*x837*x840))))));
+j0eval[2]=IKsign(x839);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x842=((1.0)*new_r00);
+CheckValue<IkReal> x843 = IKatan2WithCheck(IkReal(((((-1.0)*(gconst26*gconst26)))+(new_r00*new_r00))),IkReal(((((-1.0)*new_r10*x842))+((gconst26*gconst27)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x843.valid){
+continue;
+}
+CheckValue<IkReal> x844=IKPowWithIntegerCheck(IKsign((((gconst26*new_r10))+(((-1.0)*gconst27*x842)))),-1);
+if(!x844.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x843.value)+(((1.5707963267949)*(x844.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x845=IKsin(j0);
+IkReal x846=IKcos(j0);
+IkReal x847=(gconst26*x846);
+IkReal x848=(gconst27*x845);
+IkReal x849=(gconst27*x846);
+IkReal x850=(gconst26*x845);
+IkReal x851=(x847+x848);
+evalcond[0]=(((new_r10*x845))+((new_r00*x846))+gconst26);
+evalcond[1]=(gconst27+((new_r01*x846))+((new_r11*x845)));
+evalcond[2]=(new_r00+x851);
+evalcond[3]=(new_r11+x851);
+evalcond[4]=((((-1.0)*new_r01*x845))+gconst26+((new_r11*x846)));
+evalcond[5]=(((new_r00*x845))+gconst27+(((-1.0)*new_r10*x846)));
+evalcond[6]=((((-1.0)*x850))+new_r01+x849);
+evalcond[7]=((((-1.0)*x849))+new_r10+x850);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x852=((1.0)*gconst26);
+CheckValue<IkReal> x853 = IKatan2WithCheck(IkReal((((gconst26*new_r00))+(((-1.0)*new_r11*x852)))),IkReal(((((-1.0)*new_r01*x852))+(((-1.0)*new_r10*x852)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x853.valid){
+continue;
+}
+CheckValue<IkReal> x854=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x854.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x853.value)+(((1.5707963267949)*(x854.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x855=IKsin(j0);
+IkReal x856=IKcos(j0);
+IkReal x857=(gconst26*x856);
+IkReal x858=(gconst27*x855);
+IkReal x859=(gconst27*x856);
+IkReal x860=(gconst26*x855);
+IkReal x861=(x857+x858);
+evalcond[0]=(gconst26+((new_r10*x855))+((new_r00*x856)));
+evalcond[1]=(gconst27+((new_r11*x855))+((new_r01*x856)));
+evalcond[2]=(new_r00+x861);
+evalcond[3]=(new_r11+x861);
+evalcond[4]=(gconst26+((new_r11*x856))+(((-1.0)*new_r01*x855)));
+evalcond[5]=(gconst27+(((-1.0)*new_r10*x856))+((new_r00*x855)));
+evalcond[6]=((((-1.0)*x860))+new_r01+x859);
+evalcond[7]=((((-1.0)*x859))+new_r10+x860);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x862=IKPowWithIntegerCheck(IKsign((((new_r00*new_r11))+(((-1.0)*new_r01*new_r10)))),-1);
+if(!x862.valid){
+continue;
+}
+CheckValue<IkReal> x863 = IKatan2WithCheck(IkReal((((gconst26*new_r01))+(((-1.0)*gconst27*new_r00)))),IkReal(((((-1.0)*gconst26*new_r11))+((gconst27*new_r10)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x863.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x862.value)))+(x863.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x864=IKsin(j0);
+IkReal x865=IKcos(j0);
+IkReal x866=(gconst26*x865);
+IkReal x867=(gconst27*x864);
+IkReal x868=(gconst27*x865);
+IkReal x869=(gconst26*x864);
+IkReal x870=(x867+x866);
+evalcond[0]=(((new_r00*x865))+gconst26+((new_r10*x864)));
+evalcond[1]=(((new_r01*x865))+gconst27+((new_r11*x864)));
+evalcond[2]=(new_r00+x870);
+evalcond[3]=(new_r11+x870);
+evalcond[4]=(gconst26+((new_r11*x865))+(((-1.0)*new_r01*x864)));
+evalcond[5]=(((new_r00*x864))+(((-1.0)*new_r10*x865))+gconst27);
+evalcond[6]=((((-1.0)*x869))+new_r01+x868);
+evalcond[7]=((((-1.0)*x868))+new_r10+x869);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+j0eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x872 = IKatan2WithCheck(IkReal(new_r00),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x872.valid){
+continue;
+}
+IkReal x871=x872.value;
+j0array[0]=((-1.0)*x871);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x871)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[1];
+evalcond[0]=(((new_r00*(IKsin(j0))))+(((-1.0)*new_r10*(IKcos(j0)))));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j0eval[0]=new_r01;
+j0eval[1]=((IKabs(cj2))+(IKabs(sj2)));
+j0eval[2]=IKsign(new_r01);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j0eval[0]=new_r00;
+j0eval[1]=((IKabs(cj2))+(IKabs(sj2)));
+j0eval[2]=IKsign(new_r00);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j0eval[0]=new_r01;
+j0eval[1]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x873=IKPowWithIntegerCheck(new_r01,-1);
+if(!x873.valid){
+continue;
+}
+CheckValue<IkReal> x874=IKPowWithIntegerCheck(new_r00,-1);
+if(!x874.valid){
+continue;
+}
+if( IKabs((sj2*(x873.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*sj2*(x874.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((sj2*(x873.value)))+IKsqr(((-1.0)*sj2*(x874.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((sj2*(x873.value)), ((-1.0)*sj2*(x874.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x875=IKcos(j0);
+IkReal x876=IKsin(j0);
+IkReal x877=(sj2*x875);
+IkReal x878=(cj2*x876);
+IkReal x879=(sj2*x876);
+IkReal x880=(cj2*x875);
+IkReal x881=(x878+x877);
+evalcond[0]=(((new_r00*x876))+cj2);
+evalcond[1]=(((new_r00*x875))+sj2);
+evalcond[2]=(((new_r01*x875))+cj2);
+evalcond[3]=(sj2+(((-1.0)*new_r01*x876)));
+evalcond[4]=x881;
+evalcond[5]=(new_r00+x881);
+evalcond[6]=((((-1.0)*x880))+x879);
+evalcond[7]=((((-1.0)*x879))+new_r01+x880);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x882 = IKatan2WithCheck(IkReal(((-1.0)*cj2)),IkReal(((-1.0)*sj2)),IKFAST_ATAN2_MAGTHRESH);
+if(!x882.valid){
+continue;
+}
+CheckValue<IkReal> x883=IKPowWithIntegerCheck(IKsign(new_r00),-1);
+if(!x883.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x882.value)+(((1.5707963267949)*(x883.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x884=IKcos(j0);
+IkReal x885=IKsin(j0);
+IkReal x886=(sj2*x884);
+IkReal x887=(cj2*x885);
+IkReal x888=(sj2*x885);
+IkReal x889=(cj2*x884);
+IkReal x890=(x887+x886);
+evalcond[0]=(cj2+((new_r00*x885)));
+evalcond[1]=(sj2+((new_r00*x884)));
+evalcond[2]=(cj2+((new_r01*x884)));
+evalcond[3]=(sj2+(((-1.0)*new_r01*x885)));
+evalcond[4]=x890;
+evalcond[5]=(new_r00+x890);
+evalcond[6]=((((-1.0)*x889))+x888);
+evalcond[7]=((((-1.0)*x888))+new_r01+x889);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x891=IKPowWithIntegerCheck(IKsign(new_r01),-1);
+if(!x891.valid){
+continue;
+}
+CheckValue<IkReal> x892 = IKatan2WithCheck(IkReal(sj2),IkReal(((-1.0)*cj2)),IKFAST_ATAN2_MAGTHRESH);
+if(!x892.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x891.value)))+(x892.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x893=IKcos(j0);
+IkReal x894=IKsin(j0);
+IkReal x895=(sj2*x893);
+IkReal x896=(cj2*x894);
+IkReal x897=(sj2*x894);
+IkReal x898=(cj2*x893);
+IkReal x899=(x896+x895);
+evalcond[0]=(cj2+((new_r00*x894)));
+evalcond[1]=(sj2+((new_r00*x893)));
+evalcond[2]=(cj2+((new_r01*x893)));
+evalcond[3]=(sj2+(((-1.0)*new_r01*x894)));
+evalcond[4]=x899;
+evalcond[5]=(new_r00+x899);
+evalcond[6]=((((-1.0)*x898))+x897);
+evalcond[7]=((((-1.0)*x897))+new_r01+x898);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j0eval[0]=new_r10;
+j0eval[1]=((IKabs(cj2))+(IKabs(sj2)));
+j0eval[2]=IKsign(new_r10);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j0eval[0]=new_r11;
+j0eval[1]=((IKabs(cj2))+(IKabs(sj2)));
+j0eval[2]=IKsign(new_r11);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j0eval[0]=new_r11;
+j0eval[1]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x900=IKPowWithIntegerCheck(new_r11,-1);
+if(!x900.valid){
+continue;
+}
+CheckValue<IkReal> x901=IKPowWithIntegerCheck(new_r10,-1);
+if(!x901.valid){
+continue;
+}
+if( IKabs(((-1.0)*cj2*(x900.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((cj2*(x901.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*cj2*(x900.value)))+IKsqr((cj2*(x901.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*cj2*(x900.value)), (cj2*(x901.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x902=IKsin(j0);
+IkReal x903=IKcos(j0);
+IkReal x904=(sj2*x903);
+IkReal x905=(cj2*x902);
+IkReal x906=(sj2*x902);
+IkReal x907=((1.0)*x903);
+IkReal x908=(x904+x905);
+evalcond[0]=(sj2+((new_r11*x903)));
+evalcond[1]=(sj2+((new_r10*x902)));
+evalcond[2]=(cj2+((new_r11*x902)));
+evalcond[3]=(cj2+(((-1.0)*new_r10*x907)));
+evalcond[4]=x908;
+evalcond[5]=(new_r11+x908);
+evalcond[6]=(((cj2*x903))+(((-1.0)*x906)));
+evalcond[7]=(new_r10+x906+(((-1.0)*cj2*x907)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x909=IKPowWithIntegerCheck(IKsign(new_r11),-1);
+if(!x909.valid){
+continue;
+}
+CheckValue<IkReal> x910 = IKatan2WithCheck(IkReal(((-1.0)*cj2)),IkReal(((-1.0)*sj2)),IKFAST_ATAN2_MAGTHRESH);
+if(!x910.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x909.value)))+(x910.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x911=IKsin(j0);
+IkReal x912=IKcos(j0);
+IkReal x913=(sj2*x912);
+IkReal x914=(cj2*x911);
+IkReal x915=(sj2*x911);
+IkReal x916=((1.0)*x912);
+IkReal x917=(x913+x914);
+evalcond[0]=(sj2+((new_r11*x912)));
+evalcond[1]=(sj2+((new_r10*x911)));
+evalcond[2]=(cj2+((new_r11*x911)));
+evalcond[3]=(cj2+(((-1.0)*new_r10*x916)));
+evalcond[4]=x917;
+evalcond[5]=(new_r11+x917);
+evalcond[6]=(((cj2*x912))+(((-1.0)*x915)));
+evalcond[7]=(new_r10+x915+(((-1.0)*cj2*x916)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x918=IKPowWithIntegerCheck(IKsign(new_r10),-1);
+if(!x918.valid){
+continue;
+}
+CheckValue<IkReal> x919 = IKatan2WithCheck(IkReal(((-1.0)*sj2)),IkReal(cj2),IKFAST_ATAN2_MAGTHRESH);
+if(!x919.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x918.value)))+(x919.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x920=IKsin(j0);
+IkReal x921=IKcos(j0);
+IkReal x922=(sj2*x921);
+IkReal x923=(cj2*x920);
+IkReal x924=(sj2*x920);
+IkReal x925=((1.0)*x921);
+IkReal x926=(x922+x923);
+evalcond[0]=(sj2+((new_r11*x921)));
+evalcond[1]=(sj2+((new_r10*x920)));
+evalcond[2]=(cj2+((new_r11*x920)));
+evalcond[3]=(cj2+(((-1.0)*new_r10*x925)));
+evalcond[4]=x926;
+evalcond[5]=(new_r11+x926);
+evalcond[6]=((((-1.0)*x924))+((cj2*x921)));
+evalcond[7]=((((-1.0)*cj2*x925))+new_r10+x924);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+sj1=1.0;
+cj1=0;
+j1=1.5707963267949;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x928 = IKatan2WithCheck(IkReal(new_r01),IkReal(new_r11),IKFAST_ATAN2_MAGTHRESH);
+if(!x928.valid){
+continue;
+}
+IkReal x927=x928.value;
+j0array[0]=((-1.0)*x927);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x927)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[1];
+evalcond[0]=(((new_r11*(IKcos(j0))))+(((-1.0)*new_r01*(IKsin(j0)))));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x929=((1.0)*sj2);
+CheckValue<IkReal> x930=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r10*x929))+((cj2*new_r00)))),-1);
+if(!x930.valid){
+continue;
+}
+CheckValue<IkReal> x931 = IKatan2WithCheck(IkReal(((1.0)+(((-1.0)*(cj2*cj2)))+(((-1.0)*new_r00*new_r11)))),IkReal(((((-1.0)*cj2*x929))+((new_r10*new_r11)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x931.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x930.value)))+(x931.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x932=IKsin(j0);
+IkReal x933=IKcos(j0);
+IkReal x934=(sj2*x933);
+IkReal x935=(cj2*x932);
+IkReal x936=(sj2*x932);
+IkReal x937=((1.0)*x933);
+IkReal x938=(x935+x934);
+evalcond[0]=(sj2+((new_r00*x933))+((new_r10*x932)));
+evalcond[1]=(cj2+((new_r01*x933))+((new_r11*x932)));
+evalcond[2]=(new_r00+x938);
+evalcond[3]=(new_r11+x938);
+evalcond[4]=(sj2+(((-1.0)*new_r01*x932))+((new_r11*x933)));
+evalcond[5]=(cj2+(((-1.0)*new_r10*x937))+((new_r00*x932)));
+evalcond[6]=(((cj2*x933))+(((-1.0)*x936))+new_r01);
+evalcond[7]=((((-1.0)*cj2*x937))+new_r10+x936);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x939=IKPowWithIntegerCheck(IKsign((((cj2*new_r01))+(((-1.0)*new_r11*sj2)))),-1);
+if(!x939.valid){
+continue;
+}
+CheckValue<IkReal> x940 = IKatan2WithCheck(IkReal((((cj2*sj2))+(((-1.0)*new_r00*new_r01)))),IkReal(((((-1.0)*(cj2*cj2)))+((new_r00*new_r11)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x940.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x939.value)))+(x940.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x941=IKsin(j0);
+IkReal x942=IKcos(j0);
+IkReal x943=(sj2*x942);
+IkReal x944=(cj2*x941);
+IkReal x945=(sj2*x941);
+IkReal x946=((1.0)*x942);
+IkReal x947=(x943+x944);
+evalcond[0]=(sj2+((new_r00*x942))+((new_r10*x941)));
+evalcond[1]=(cj2+((new_r01*x942))+((new_r11*x941)));
+evalcond[2]=(new_r00+x947);
+evalcond[3]=(new_r11+x947);
+evalcond[4]=((((-1.0)*new_r01*x941))+sj2+((new_r11*x942)));
+evalcond[5]=(((new_r00*x941))+cj2+(((-1.0)*new_r10*x946)));
+evalcond[6]=(((cj2*x942))+(((-1.0)*x945))+new_r01);
+evalcond[7]=((((-1.0)*cj2*x946))+new_r10+x945);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x948 = IKatan2WithCheck(IkReal((((new_r01*sj2))+(((-1.0)*cj2*new_r00)))),IkReal((((cj2*new_r10))+(((-1.0)*new_r11*sj2)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x948.valid){
+continue;
+}
+CheckValue<IkReal> x949=IKPowWithIntegerCheck(IKsign((((new_r00*new_r11))+(((-1.0)*new_r01*new_r10)))),-1);
+if(!x949.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x948.value)+(((1.5707963267949)*(x949.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x950=IKsin(j0);
+IkReal x951=IKcos(j0);
+IkReal x952=(sj2*x951);
+IkReal x953=(cj2*x950);
+IkReal x954=(sj2*x950);
+IkReal x955=((1.0)*x951);
+IkReal x956=(x953+x952);
+evalcond[0]=(((new_r10*x950))+((new_r00*x951))+sj2);
+evalcond[1]=(((new_r01*x951))+cj2+((new_r11*x950)));
+evalcond[2]=(new_r00+x956);
+evalcond[3]=(new_r11+x956);
+evalcond[4]=(sj2+(((-1.0)*new_r01*x950))+((new_r11*x951)));
+evalcond[5]=(((new_r00*x950))+cj2+(((-1.0)*new_r10*x955)));
+evalcond[6]=((((-1.0)*x954))+((cj2*x951))+new_r01);
+evalcond[7]=((((-1.0)*cj2*x955))+new_r10+x954);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+IkReal x957=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j0eval[0]=x957;
+j0eval[1]=IKsign(x957);
+j0eval[2]=((IKabs((((new_r10*sj2))+((cj2*new_r11)))))+(IKabs((((new_r00*sj2))+((cj2*new_r01))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+IkReal x958=((1.0)*sj2);
+IkReal x959=((((-1.0)*new_r01*x958))+((cj2*new_r11)));
+j0eval[0]=x959;
+j0eval[1]=((IKabs(((-1.0)+(cj2*cj2)+(new_r11*new_r11))))+(IKabs(((((-1.0)*cj2*x958))+((new_r01*new_r11))))));
+j0eval[2]=IKsign(x959);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+IkReal x960=((1.0)*new_r00);
+IkReal x961=((((-1.0)*sj2*x960))+((cj2*new_r10)));
+j0eval[0]=x961;
+j0eval[1]=IKsign(x961);
+j0eval[2]=((IKabs(((cj2*cj2)+(((-1.0)*new_r00*x960)))))+(IKabs((((cj2*sj2))+(((-1.0)*new_r10*x960))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+IkReal x962=((-1.0)*new_r00);
+IkReal x964 = ((new_r10*new_r10)+(new_r00*new_r00));
+if(IKabs(x964)==0){
+continue;
+}
+IkReal x963=pow(x964,-0.5);
+CheckValue<IkReal> x965 = IKatan2WithCheck(IkReal(new_r10),IkReal(x962),IKFAST_ATAN2_MAGTHRESH);
+if(!x965.valid){
+continue;
+}
+IkReal gconst28=((-1.0)*(x965.value));
+IkReal gconst29=((-1.0)*new_r10*x963);
+IkReal gconst30=(x962*x963);
+CheckValue<IkReal> x966 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x966.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs((j2+(x966.value))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+IkReal x967=((-1.0)*new_r00);
+CheckValue<IkReal> x970 = IKatan2WithCheck(IkReal(new_r10),IkReal(x967),IKFAST_ATAN2_MAGTHRESH);
+if(!x970.valid){
+continue;
+}
+IkReal x968=((-1.0)*(x970.value));
+IkReal x969=x963;
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x968;
+IkReal gconst28=x968;
+IkReal gconst29=((-1.0)*new_r10*x969);
+IkReal gconst30=(x967*x969);
+IkReal x971=new_r10*new_r10;
+IkReal x972=(new_r00*new_r11);
+IkReal x973=((((-1.0)*x972))+((new_r01*new_r10)));
+IkReal x974=x963;
+IkReal x975=((1.0)*new_r00*x974);
+j0eval[0]=x973;
+j0eval[1]=IKsign(x973);
+j0eval[2]=((IKabs(((((-1.0)*new_r01*x975))+(((-1.0)*new_r10*x975)))))+(IKabs((((x971*x974))+((x972*x974))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x976=((-1.0)*new_r00);
+CheckValue<IkReal> x979 = IKatan2WithCheck(IkReal(new_r10),IkReal(x976),IKFAST_ATAN2_MAGTHRESH);
+if(!x979.valid){
+continue;
+}
+IkReal x977=((-1.0)*(x979.value));
+IkReal x978=x963;
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x977;
+IkReal gconst28=x977;
+IkReal gconst29=((-1.0)*new_r10*x978);
+IkReal gconst30=(x976*x978);
+IkReal x980=new_r10*new_r10;
+CheckValue<IkReal> x983=IKPowWithIntegerCheck((x980+(new_r00*new_r00)),-1);
+if(!x983.valid){
+continue;
+}
+IkReal x981=x983.value;
+IkReal x982=(new_r00*x981);
+j0eval[0]=((IKabs((((new_r00*new_r11))+((x980*x981)))))+(IKabs((((new_r01*x982*(new_r00*new_r00)))+((new_r10*x982))+((new_r01*x980*x982))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x984=((-1.0)*new_r00);
+CheckValue<IkReal> x987 = IKatan2WithCheck(IkReal(new_r10),IkReal(x984),IKFAST_ATAN2_MAGTHRESH);
+if(!x987.valid){
+continue;
+}
+IkReal x985=((-1.0)*(x987.value));
+IkReal x986=x963;
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x985;
+IkReal gconst28=x985;
+IkReal gconst29=((-1.0)*new_r10*x986);
+IkReal gconst30=(x984*x986);
+IkReal x988=new_r10*new_r10;
+IkReal x989=(((new_r10*new_r11))+((new_r00*new_r01)));
+IkReal x990=x963;
+IkReal x991=((1.0)*new_r10*x990);
+j0eval[0]=x989;
+j0eval[1]=IKsign(x989);
+j0eval[2]=((IKabs(((((-1.0)*new_r11*x991))+(((-1.0)*new_r00*x991)))))+(IKabs((((x988*x990))+(((-1.0)*new_r01*x991))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x993 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x993.valid){
+continue;
+}
+IkReal x992=((-1.0)*(x993.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x992;
+new_r11=0;
+new_r00=0;
+IkReal gconst28=x992;
+IkReal x994 = new_r10*new_r10;
+if(IKabs(x994)==0){
+continue;
+}
+IkReal gconst29=((-1.0)*new_r10*(pow(x994,-0.5)));
+IkReal gconst30=0;
+j0eval[0]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x995=IKPowWithIntegerCheck(gconst29,-1);
+if(!x995.valid){
+continue;
+}
+sj0array[0]=(new_r01*(x995.value));
+if( sj0array[0] >= -1-IKFAST_SINCOS_THRESH && sj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKasin(sj0array[0]);
+ cj0array[0] = IKcos(j0array[0]);
+ sj0array[1] = sj0array[0];
+ j0array[1] = j0array[0] > 0 ? (IKPI-j0array[0]) : (-IKPI-j0array[0]);
+ cj0array[1] = -cj0array[0];
+}
+else if( isnan(sj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x996=IKcos(j0);
+IkReal x997=IKsin(j0);
+IkReal x998=((1.0)*gconst29);
+IkReal x999=((-1.0)*x996);
+evalcond[0]=(new_r01*x996);
+evalcond[1]=(new_r10*x999);
+evalcond[2]=(gconst29*x999);
+evalcond[3]=(gconst29+(((-1.0)*new_r01*x997)));
+evalcond[4]=((((-1.0)*x997*x998))+new_r10);
+evalcond[5]=(((new_r10*x997))+(((-1.0)*x998)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1000=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1000.valid){
+continue;
+}
+sj0array[0]=(gconst29*(x1000.value));
+if( sj0array[0] >= -1-IKFAST_SINCOS_THRESH && sj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKasin(sj0array[0]);
+ cj0array[0] = IKcos(j0array[0]);
+ sj0array[1] = sj0array[0];
+ j0array[1] = j0array[0] > 0 ? (IKPI-j0array[0]) : (-IKPI-j0array[0]);
+ cj0array[1] = -cj0array[0];
+}
+else if( isnan(sj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1001=IKcos(j0);
+IkReal x1002=IKsin(j0);
+IkReal x1003=((1.0)*gconst29);
+IkReal x1004=(x1002*x1003);
+IkReal x1005=((-1.0)*x1001);
+evalcond[0]=(new_r01*x1001);
+evalcond[1]=(new_r10*x1005);
+evalcond[2]=(gconst29*x1005);
+evalcond[3]=((((-1.0)*x1004))+new_r01);
+evalcond[4]=((((-1.0)*x1004))+new_r10);
+evalcond[5]=((((-1.0)*x1003))+((new_r10*x1002)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+evalcond[1]=gconst29;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+IkReal x1006=((-1.0)*new_r00);
+CheckValue<IkReal> x1008 = IKatan2WithCheck(IkReal(new_r10),IkReal(x1006),IKFAST_ATAN2_MAGTHRESH);
+if(!x1008.valid){
+continue;
+}
+IkReal x1007=((-1.0)*(x1008.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1007;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst28=x1007;
+IkReal gconst29=((-1.0)*new_r10);
+IkReal gconst30=x1006;
+j0eval[0]=-1.0;
+j0eval[1]=-1.0;
+j0eval[2]=((IKabs(new_r10*new_r10))+(IKabs((new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x1009=((-1.0)*new_r00);
+CheckValue<IkReal> x1011 = IKatan2WithCheck(IkReal(new_r10),IkReal(x1009),IKFAST_ATAN2_MAGTHRESH);
+if(!x1011.valid){
+continue;
+}
+IkReal x1010=((-1.0)*(x1011.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1010;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst28=x1010;
+IkReal gconst29=((-1.0)*new_r10);
+IkReal gconst30=x1009;
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs(new_r10*new_r10))+(IKabs((new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x1012=((-1.0)*new_r00);
+CheckValue<IkReal> x1014 = IKatan2WithCheck(IkReal(new_r10),IkReal(x1012),IKFAST_ATAN2_MAGTHRESH);
+if(!x1014.valid){
+continue;
+}
+IkReal x1013=((-1.0)*(x1014.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1013;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst28=x1013;
+IkReal gconst29=((-1.0)*new_r10);
+IkReal gconst30=x1012;
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs(((1.0)+(((-1.0)*(new_r10*new_r10))))))+(IKabs((new_r00*new_r10))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1015=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst29*new_r10))+(((-1.0)*gconst30*new_r00)))),-1);
+if(!x1015.valid){
+continue;
+}
+CheckValue<IkReal> x1016 = IKatan2WithCheck(IkReal(gconst30*gconst30),IkReal(((-1.0)*gconst29*gconst30)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1016.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1015.value)))+(x1016.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1017=IKsin(j0);
+IkReal x1018=IKcos(j0);
+IkReal x1019=((1.0)*x1017);
+IkReal x1020=(gconst29*x1018);
+IkReal x1021=((1.0)*x1018);
+IkReal x1022=(((gconst30*x1021))+((gconst29*x1019)));
+evalcond[0]=(x1020+(((-1.0)*gconst30*x1019)));
+evalcond[1]=(gconst30+(((-1.0)*new_r10*x1021))+((new_r00*x1017)));
+evalcond[2]=((((-1.0)*x1020))+((gconst30*x1017))+new_r00);
+evalcond[3]=((-1.0)*x1022);
+evalcond[4]=(((new_r10*x1017))+((new_r00*x1018))+(((-1.0)*gconst29)));
+evalcond[5]=((((-1.0)*x1022))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1023=IKPowWithIntegerCheck(IKsign(((gconst29*gconst29)+(gconst30*gconst30))),-1);
+if(!x1023.valid){
+continue;
+}
+CheckValue<IkReal> x1024 = IKatan2WithCheck(IkReal((gconst29*new_r10)),IkReal((gconst30*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1024.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1023.value)))+(x1024.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1025=IKsin(j0);
+IkReal x1026=IKcos(j0);
+IkReal x1027=((1.0)*x1025);
+IkReal x1028=(gconst29*x1026);
+IkReal x1029=((1.0)*x1026);
+IkReal x1030=(((gconst30*x1029))+((gconst29*x1027)));
+evalcond[0]=(x1028+(((-1.0)*gconst30*x1027)));
+evalcond[1]=(gconst30+(((-1.0)*new_r10*x1029))+((new_r00*x1025)));
+evalcond[2]=((((-1.0)*x1028))+((gconst30*x1025))+new_r00);
+evalcond[3]=((-1.0)*x1030);
+evalcond[4]=(((new_r10*x1025))+(((-1.0)*gconst29))+((new_r00*x1026)));
+evalcond[5]=((((-1.0)*x1030))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1031=IKPowWithIntegerCheck(IKsign((((gconst29*new_r10))+((gconst30*new_r00)))),-1);
+if(!x1031.valid){
+continue;
+}
+CheckValue<IkReal> x1032 = IKatan2WithCheck(IkReal(gconst29*gconst29),IkReal((gconst29*gconst30)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1032.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1031.value)))+(x1032.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1033=IKsin(j0);
+IkReal x1034=IKcos(j0);
+IkReal x1035=((1.0)*x1033);
+IkReal x1036=(gconst29*x1034);
+IkReal x1037=((1.0)*x1034);
+IkReal x1038=(((gconst30*x1037))+((gconst29*x1035)));
+evalcond[0]=(x1036+(((-1.0)*gconst30*x1035)));
+evalcond[1]=(gconst30+(((-1.0)*new_r10*x1037))+((new_r00*x1033)));
+evalcond[2]=((((-1.0)*x1036))+((gconst30*x1033))+new_r00);
+evalcond[3]=((-1.0)*x1038);
+evalcond[4]=(((new_r10*x1033))+(((-1.0)*gconst29))+((new_r00*x1034)));
+evalcond[5]=((((-1.0)*x1038))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1039=IKPowWithIntegerCheck(gconst30,-1);
+if(!x1039.valid){
+continue;
+}
+sj0array[0]=(new_r11*(x1039.value));
+if( sj0array[0] >= -1-IKFAST_SINCOS_THRESH && sj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKasin(sj0array[0]);
+ cj0array[0] = IKcos(j0array[0]);
+ sj0array[1] = sj0array[0];
+ j0array[1] = j0array[0] > 0 ? (IKPI-j0array[0]) : (-IKPI-j0array[0]);
+ cj0array[1] = -cj0array[0];
+}
+else if( isnan(sj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1040=IKcos(j0);
+IkReal x1041=IKsin(j0);
+evalcond[0]=(new_r11*x1040);
+evalcond[1]=(new_r00*x1040);
+evalcond[2]=((-1.0)*gconst30*x1040);
+evalcond[3]=(gconst30+((new_r00*x1041)));
+evalcond[4]=(new_r00+((gconst30*x1041)));
+evalcond[5]=(((new_r11*x1041))+(((-1.0)*gconst30)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+IkReal x1042=((-1.0)*new_r00);
+CheckValue<IkReal> x1044 = IKatan2WithCheck(IkReal(0),IkReal(x1042),IKFAST_ATAN2_MAGTHRESH);
+if(!x1044.valid){
+continue;
+}
+IkReal x1043=((-1.0)*(x1044.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1043;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst28=x1043;
+IkReal gconst29=0;
+IkReal x1045 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x1045)==0){
+continue;
+}
+IkReal gconst30=(x1042*(pow(x1045,-0.5)));
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x1046=((-1.0)*new_r00);
+CheckValue<IkReal> x1048 = IKatan2WithCheck(IkReal(0),IkReal(x1046),IKFAST_ATAN2_MAGTHRESH);
+if(!x1048.valid){
+continue;
+}
+IkReal x1047=((-1.0)*(x1048.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1047;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst28=x1047;
+IkReal gconst29=0;
+IkReal x1049 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x1049)==0){
+continue;
+}
+IkReal gconst30=(x1046*(pow(x1049,-0.5)));
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+IkReal x1050=((-1.0)*new_r00);
+CheckValue<IkReal> x1052 = IKatan2WithCheck(IkReal(0),IkReal(x1050),IKFAST_ATAN2_MAGTHRESH);
+if(!x1052.valid){
+continue;
+}
+IkReal x1051=((-1.0)*(x1052.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1051;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst28=x1051;
+IkReal gconst29=0;
+IkReal x1053 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x1053)==0){
+continue;
+}
+IkReal gconst30=(x1050*(pow(x1053,-0.5)));
+j0eval[0]=new_r00;
+j0eval[1]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1054=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1054.valid){
+continue;
+}
+CheckValue<IkReal> x1055=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1055.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst30*(x1054.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst30*(x1055.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst30*(x1054.value)))+IKsqr((gconst30*(x1055.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst30*(x1054.value)), (gconst30*(x1055.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1056=IKsin(j0);
+IkReal x1057=IKcos(j0);
+IkReal x1058=((1.0)*gconst30);
+IkReal x1059=((-1.0)*gconst30);
+evalcond[0]=(new_r00*x1057);
+evalcond[1]=((-1.0)*new_r01*x1056);
+evalcond[2]=(x1056*x1059);
+evalcond[3]=(x1057*x1059);
+evalcond[4]=(gconst30+((new_r00*x1056)));
+evalcond[5]=(((gconst30*x1056))+new_r00);
+evalcond[6]=((((-1.0)*x1057*x1058))+new_r01);
+evalcond[7]=((((-1.0)*x1058))+((new_r01*x1057)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1060=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1060.valid){
+continue;
+}
+CheckValue<IkReal> x1061=IKPowWithIntegerCheck(gconst30,-1);
+if(!x1061.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst30*(x1060.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r01*(x1061.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst30*(x1060.value)))+IKsqr((new_r01*(x1061.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst30*(x1060.value)), (new_r01*(x1061.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1062=IKsin(j0);
+IkReal x1063=IKcos(j0);
+IkReal x1064=((1.0)*gconst30);
+IkReal x1065=((-1.0)*gconst30);
+evalcond[0]=(new_r00*x1063);
+evalcond[1]=((-1.0)*new_r01*x1062);
+evalcond[2]=(x1062*x1065);
+evalcond[3]=(x1063*x1065);
+evalcond[4]=(gconst30+((new_r00*x1062)));
+evalcond[5]=(((gconst30*x1062))+new_r00);
+evalcond[6]=((((-1.0)*x1063*x1064))+new_r01);
+evalcond[7]=(((new_r01*x1063))+(((-1.0)*x1064)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1066=IKPowWithIntegerCheck(IKsign(gconst30),-1);
+if(!x1066.valid){
+continue;
+}
+CheckValue<IkReal> x1067 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1067.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1066.value)))+(x1067.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1068=IKsin(j0);
+IkReal x1069=IKcos(j0);
+IkReal x1070=((1.0)*gconst30);
+IkReal x1071=((-1.0)*gconst30);
+evalcond[0]=(new_r00*x1069);
+evalcond[1]=((-1.0)*new_r01*x1068);
+evalcond[2]=(x1068*x1071);
+evalcond[3]=(x1069*x1071);
+evalcond[4]=(gconst30+((new_r00*x1068)));
+evalcond[5]=(((gconst30*x1068))+new_r00);
+evalcond[6]=(new_r01+(((-1.0)*x1069*x1070)));
+evalcond[7]=(((new_r01*x1069))+(((-1.0)*x1070)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r10);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+IkReal x1072=((-1.0)*new_r00);
+CheckValue<IkReal> x1074 = IKatan2WithCheck(IkReal(0),IkReal(x1072),IKFAST_ATAN2_MAGTHRESH);
+if(!x1074.valid){
+continue;
+}
+IkReal x1073=((-1.0)*(x1074.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1073;
+new_r10=0;
+IkReal gconst28=x1073;
+IkReal gconst29=0;
+IkReal x1075 = new_r00*new_r00;
+if(IKabs(x1075)==0){
+continue;
+}
+IkReal gconst30=(x1072*(pow(x1075,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x1076=((-1.0)*new_r00);
+CheckValue<IkReal> x1078 = IKatan2WithCheck(IkReal(0),IkReal(x1076),IKFAST_ATAN2_MAGTHRESH);
+if(!x1078.valid){
+continue;
+}
+IkReal x1077=((-1.0)*(x1078.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1077;
+new_r10=0;
+IkReal gconst28=x1077;
+IkReal gconst29=0;
+IkReal x1079 = new_r00*new_r00;
+if(IKabs(x1079)==0){
+continue;
+}
+IkReal gconst30=(x1076*(pow(x1079,-0.5)));
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x1080=((-1.0)*new_r00);
+CheckValue<IkReal> x1082 = IKatan2WithCheck(IkReal(0),IkReal(x1080),IKFAST_ATAN2_MAGTHRESH);
+if(!x1082.valid){
+continue;
+}
+IkReal x1081=((-1.0)*(x1082.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1081;
+new_r10=0;
+IkReal gconst28=x1081;
+IkReal gconst29=0;
+IkReal x1083 = new_r00*new_r00;
+if(IKabs(x1083)==0){
+continue;
+}
+IkReal gconst30=(x1080*(pow(x1083,-0.5)));
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1084=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1084.valid){
+continue;
+}
+CheckValue<IkReal> x1085=IKPowWithIntegerCheck(gconst30,-1);
+if(!x1085.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst30*(x1084.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r01*(x1085.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst30*(x1084.value)))+IKsqr((new_r01*(x1085.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst30*(x1084.value)), (new_r01*(x1085.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1086=IKcos(j0);
+IkReal x1087=IKsin(j0);
+IkReal x1088=((1.0)*gconst30);
+evalcond[0]=(new_r00*x1086);
+evalcond[1]=((-1.0)*gconst30*x1086);
+evalcond[2]=(((new_r00*x1087))+gconst30);
+evalcond[3]=(((gconst30*x1087))+new_r00);
+evalcond[4]=((((-1.0)*x1087*x1088))+new_r11);
+evalcond[5]=(new_r01+(((-1.0)*x1086*x1088)));
+evalcond[6]=((((-1.0)*new_r01*x1087))+((new_r11*x1086)));
+evalcond[7]=(((new_r01*x1086))+((new_r11*x1087))+(((-1.0)*x1088)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1089=IKPowWithIntegerCheck(IKsign(gconst30),-1);
+if(!x1089.valid){
+continue;
+}
+CheckValue<IkReal> x1090 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1090.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1089.value)))+(x1090.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1091=IKcos(j0);
+IkReal x1092=IKsin(j0);
+IkReal x1093=((1.0)*gconst30);
+evalcond[0]=(new_r00*x1091);
+evalcond[1]=((-1.0)*gconst30*x1091);
+evalcond[2]=(((new_r00*x1092))+gconst30);
+evalcond[3]=(((gconst30*x1092))+new_r00);
+evalcond[4]=((((-1.0)*x1092*x1093))+new_r11);
+evalcond[5]=((((-1.0)*x1091*x1093))+new_r01);
+evalcond[6]=(((new_r11*x1091))+(((-1.0)*new_r01*x1092)));
+evalcond[7]=(((new_r11*x1092))+((new_r01*x1091))+(((-1.0)*x1093)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1094=IKPowWithIntegerCheck(IKsign(gconst30),-1);
+if(!x1094.valid){
+continue;
+}
+CheckValue<IkReal> x1095 = IKatan2WithCheck(IkReal(new_r11),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1095.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1094.value)))+(x1095.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1096=IKcos(j0);
+IkReal x1097=IKsin(j0);
+IkReal x1098=((1.0)*gconst30);
+evalcond[0]=(new_r00*x1096);
+evalcond[1]=((-1.0)*gconst30*x1096);
+evalcond[2]=(((new_r00*x1097))+gconst30);
+evalcond[3]=(((gconst30*x1097))+new_r00);
+evalcond[4]=((((-1.0)*x1097*x1098))+new_r11);
+evalcond[5]=((((-1.0)*x1096*x1098))+new_r01);
+evalcond[6]=(((new_r11*x1096))+(((-1.0)*new_r01*x1097)));
+evalcond[7]=(((new_r11*x1097))+((new_r01*x1096))+(((-1.0)*x1098)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1100 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1100.valid){
+continue;
+}
+IkReal x1099=((-1.0)*(x1100.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1099;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst28=x1099;
+IkReal x1101 = new_r10*new_r10;
+if(IKabs(x1101)==0){
+continue;
+}
+IkReal gconst29=((-1.0)*new_r10*(pow(x1101,-0.5)));
+IkReal gconst30=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1103 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1103.valid){
+continue;
+}
+IkReal x1102=((-1.0)*(x1103.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1102;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst28=x1102;
+IkReal x1104 = new_r10*new_r10;
+if(IKabs(x1104)==0){
+continue;
+}
+IkReal gconst29=((-1.0)*new_r10*(pow(x1104,-0.5)));
+IkReal gconst30=0;
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x1106 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1106.valid){
+continue;
+}
+IkReal x1105=((-1.0)*(x1106.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst29;
+cj2=gconst30;
+j2=x1105;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst28=x1105;
+IkReal x1107 = new_r10*new_r10;
+if(IKabs(x1107)==0){
+continue;
+}
+IkReal gconst29=((-1.0)*new_r10*(pow(x1107,-0.5)));
+IkReal gconst30=0;
+j0eval[0]=new_r10;
+j0eval[1]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1108=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1108.valid){
+continue;
+}
+CheckValue<IkReal> x1109=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1109.valid){
+continue;
+}
+if( IKabs((gconst29*(x1108.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst29*(x1109.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst29*(x1108.value)))+IKsqr(((-1.0)*gconst29*(x1109.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst29*(x1108.value)), ((-1.0)*gconst29*(x1109.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1110=IKcos(j0);
+IkReal x1111=IKsin(j0);
+IkReal x1112=((1.0)*gconst29);
+IkReal x1113=(gconst29*x1110);
+evalcond[0]=(new_r11*x1111);
+evalcond[1]=((-1.0)*new_r10*x1110);
+evalcond[2]=((-1.0)*x1113);
+evalcond[3]=((-1.0)*gconst29*x1111);
+evalcond[4]=(gconst29+((new_r11*x1110)));
+evalcond[5]=(x1113+new_r11);
+evalcond[6]=(new_r10+(((-1.0)*x1111*x1112)));
+evalcond[7]=(((new_r10*x1111))+(((-1.0)*x1112)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1114=IKPowWithIntegerCheck(gconst29,-1);
+if(!x1114.valid){
+continue;
+}
+CheckValue<IkReal> x1115=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1115.valid){
+continue;
+}
+if( IKabs((new_r10*(x1114.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst29*(x1115.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r10*(x1114.value)))+IKsqr(((-1.0)*gconst29*(x1115.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r10*(x1114.value)), ((-1.0)*gconst29*(x1115.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1116=IKcos(j0);
+IkReal x1117=IKsin(j0);
+IkReal x1118=((1.0)*gconst29);
+IkReal x1119=(gconst29*x1116);
+evalcond[0]=(new_r11*x1117);
+evalcond[1]=((-1.0)*new_r10*x1116);
+evalcond[2]=((-1.0)*x1119);
+evalcond[3]=((-1.0)*gconst29*x1117);
+evalcond[4]=(gconst29+((new_r11*x1116)));
+evalcond[5]=(x1119+new_r11);
+evalcond[6]=(new_r10+(((-1.0)*x1117*x1118)));
+evalcond[7]=(((new_r10*x1117))+(((-1.0)*x1118)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1120 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1120.valid){
+continue;
+}
+CheckValue<IkReal> x1121=IKPowWithIntegerCheck(IKsign(gconst29),-1);
+if(!x1121.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1120.value)+(((1.5707963267949)*(x1121.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1122=IKcos(j0);
+IkReal x1123=IKsin(j0);
+IkReal x1124=((1.0)*gconst29);
+IkReal x1125=(gconst29*x1122);
+evalcond[0]=(new_r11*x1123);
+evalcond[1]=((-1.0)*new_r10*x1122);
+evalcond[2]=((-1.0)*x1125);
+evalcond[3]=((-1.0)*gconst29*x1123);
+evalcond[4]=(gconst29+((new_r11*x1122)));
+evalcond[5]=(x1125+new_r11);
+evalcond[6]=((((-1.0)*x1123*x1124))+new_r10);
+evalcond[7]=(((new_r10*x1123))+(((-1.0)*x1124)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1126 = IKatan2WithCheck(IkReal((((gconst29*new_r11))+((gconst29*new_r00)))),IkReal((((gconst29*new_r01))+(((-1.0)*gconst29*new_r10)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1126.valid){
+continue;
+}
+CheckValue<IkReal> x1127=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x1127.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1126.value)+(((1.5707963267949)*(x1127.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1128=IKsin(j0);
+IkReal x1129=IKcos(j0);
+IkReal x1130=((1.0)*gconst30);
+IkReal x1131=((1.0)*gconst29);
+IkReal x1132=(gconst29*x1129);
+IkReal x1133=(((x1129*x1130))+((x1128*x1131)));
+evalcond[0]=((((-1.0)*new_r01*x1128))+gconst29+((new_r11*x1129)));
+evalcond[1]=(gconst30+((new_r00*x1128))+(((-1.0)*new_r10*x1129)));
+evalcond[2]=(((gconst30*x1128))+new_r00+(((-1.0)*x1129*x1131)));
+evalcond[3]=(x1132+(((-1.0)*x1128*x1130))+new_r11);
+evalcond[4]=(((new_r10*x1128))+(((-1.0)*x1131))+((new_r00*x1129)));
+evalcond[5]=((((-1.0)*x1130))+((new_r01*x1129))+((new_r11*x1128)));
+evalcond[6]=((((-1.0)*x1133))+new_r01);
+evalcond[7]=((((-1.0)*x1133))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1134 = IKatan2WithCheck(IkReal(((gconst29*gconst29)+((new_r00*new_r11)))),IkReal((((new_r00*new_r01))+((gconst29*gconst30)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1134.valid){
+continue;
+}
+CheckValue<IkReal> x1135=IKPowWithIntegerCheck(IKsign((((gconst29*new_r01))+(((-1.0)*gconst30*new_r11)))),-1);
+if(!x1135.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1134.value)+(((1.5707963267949)*(x1135.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1136=IKsin(j0);
+IkReal x1137=IKcos(j0);
+IkReal x1138=((1.0)*gconst30);
+IkReal x1139=((1.0)*gconst29);
+IkReal x1140=(gconst29*x1137);
+IkReal x1141=(((x1136*x1139))+((x1137*x1138)));
+evalcond[0]=((((-1.0)*new_r01*x1136))+gconst29+((new_r11*x1137)));
+evalcond[1]=(gconst30+((new_r00*x1136))+(((-1.0)*new_r10*x1137)));
+evalcond[2]=(((gconst30*x1136))+new_r00+(((-1.0)*x1137*x1139)));
+evalcond[3]=(x1140+(((-1.0)*x1136*x1138))+new_r11);
+evalcond[4]=((((-1.0)*x1139))+((new_r00*x1137))+((new_r10*x1136)));
+evalcond[5]=((((-1.0)*x1138))+((new_r11*x1136))+((new_r01*x1137)));
+evalcond[6]=((((-1.0)*x1141))+new_r01);
+evalcond[7]=((((-1.0)*x1141))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1142 = IKatan2WithCheck(IkReal((((gconst29*new_r10))+((gconst30*new_r11)))),IkReal((((gconst29*new_r00))+((gconst30*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1142.valid){
+continue;
+}
+CheckValue<IkReal> x1143=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x1143.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1142.value)+(((1.5707963267949)*(x1143.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1144=IKsin(j0);
+IkReal x1145=IKcos(j0);
+IkReal x1146=((1.0)*gconst30);
+IkReal x1147=((1.0)*gconst29);
+IkReal x1148=(gconst29*x1145);
+IkReal x1149=(((x1145*x1146))+((x1144*x1147)));
+evalcond[0]=(gconst29+(((-1.0)*new_r01*x1144))+((new_r11*x1145)));
+evalcond[1]=((((-1.0)*new_r10*x1145))+((new_r00*x1144))+gconst30);
+evalcond[2]=((((-1.0)*x1145*x1147))+((gconst30*x1144))+new_r00);
+evalcond[3]=(x1148+new_r11+(((-1.0)*x1144*x1146)));
+evalcond[4]=(((new_r00*x1145))+(((-1.0)*x1147))+((new_r10*x1144)));
+evalcond[5]=((((-1.0)*x1146))+((new_r01*x1145))+((new_r11*x1144)));
+evalcond[6]=((((-1.0)*x1149))+new_r01);
+evalcond[7]=((((-1.0)*x1149))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1152 = ((new_r10*new_r10)+(new_r00*new_r00));
+if(IKabs(x1152)==0){
+continue;
+}
+IkReal x1150=pow(x1152,-0.5);
+IkReal x1151=((1.0)*x1150);
+CheckValue<IkReal> x1153 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1153.valid){
+continue;
+}
+IkReal gconst31=((3.14159265358979)+(((-1.0)*(x1153.value))));
+IkReal gconst32=(new_r10*x1151);
+IkReal gconst33=(new_r00*x1151);
+CheckValue<IkReal> x1154 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1154.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j2+(x1154.value))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1158 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1158.valid){
+continue;
+}
+IkReal x1155=((1.0)*(x1158.value));
+IkReal x1156=x1150;
+IkReal x1157=((1.0)*x1156);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1155)));
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1155)));
+IkReal gconst32=(new_r10*x1157);
+IkReal gconst33=(new_r00*x1157);
+IkReal x1159=new_r10*new_r10;
+IkReal x1160=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+IkReal x1161=x1150;
+IkReal x1162=(new_r00*x1161);
+j0eval[0]=x1160;
+j0eval[1]=IKsign(x1160);
+j0eval[2]=((IKabs((((new_r10*x1162))+((new_r01*x1162)))))+(IKabs((((x1159*x1161))+((new_r11*x1162))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1166 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1166.valid){
+continue;
+}
+IkReal x1163=((1.0)*(x1166.value));
+IkReal x1164=x1150;
+IkReal x1165=((1.0)*x1164);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1163)));
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1163)));
+IkReal gconst32=(new_r10*x1165);
+IkReal gconst33=(new_r00*x1165);
+IkReal x1167=new_r10*new_r10;
+IkReal x1168=new_r00*new_r00*new_r00;
+CheckValue<IkReal> x1172=IKPowWithIntegerCheck((x1167+(new_r00*new_r00)),-1);
+if(!x1172.valid){
+continue;
+}
+IkReal x1169=x1172.value;
+IkReal x1170=(x1167*x1169);
+IkReal x1171=(x1168*x1169);
+j0eval[0]=((IKabs((((new_r00*new_r11*x1170))+x1170+((new_r11*x1171)))))+(IKabs((((new_r00*new_r10*x1169))+((new_r00*new_r01*x1170))+((new_r01*x1171))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1176 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1176.valid){
+continue;
+}
+IkReal x1173=((1.0)*(x1176.value));
+IkReal x1174=x1150;
+IkReal x1175=((1.0)*x1174);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1173)));
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1173)));
+IkReal gconst32=(new_r10*x1175);
+IkReal gconst33=(new_r00*x1175);
+IkReal x1177=new_r10*new_r10;
+IkReal x1178=(((new_r10*new_r11))+((new_r00*new_r01)));
+IkReal x1179=x1150;
+IkReal x1180=(new_r10*x1179);
+j0eval[0]=x1178;
+j0eval[1]=IKsign(x1178);
+j0eval[2]=((IKabs((((new_r11*x1180))+((new_r00*x1180)))))+(IKabs(((((-1.0)*x1177*x1179))+((new_r01*x1180))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1182 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1182.valid){
+continue;
+}
+IkReal x1181=((1.0)*(x1182.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1181)));
+new_r11=0;
+new_r00=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1181)));
+IkReal x1183 = new_r10*new_r10;
+if(IKabs(x1183)==0){
+continue;
+}
+IkReal gconst32=((1.0)*new_r10*(pow(x1183,-0.5)));
+IkReal gconst33=0;
+j0eval[0]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1184=IKPowWithIntegerCheck(gconst32,-1);
+if(!x1184.valid){
+continue;
+}
+sj0array[0]=(new_r01*(x1184.value));
+if( sj0array[0] >= -1-IKFAST_SINCOS_THRESH && sj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKasin(sj0array[0]);
+ cj0array[0] = IKcos(j0array[0]);
+ sj0array[1] = sj0array[0];
+ j0array[1] = j0array[0] > 0 ? (IKPI-j0array[0]) : (-IKPI-j0array[0]);
+ cj0array[1] = -cj0array[0];
+}
+else if( isnan(sj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1185=IKcos(j0);
+IkReal x1186=IKsin(j0);
+IkReal x1187=((1.0)*gconst32);
+IkReal x1188=((-1.0)*x1185);
+evalcond[0]=(new_r01*x1185);
+evalcond[1]=(new_r10*x1188);
+evalcond[2]=(gconst32*x1188);
+evalcond[3]=((((-1.0)*new_r01*x1186))+gconst32);
+evalcond[4]=((((-1.0)*x1186*x1187))+new_r10);
+evalcond[5]=((((-1.0)*x1187))+((new_r10*x1186)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1189=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1189.valid){
+continue;
+}
+sj0array[0]=(gconst32*(x1189.value));
+if( sj0array[0] >= -1-IKFAST_SINCOS_THRESH && sj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKasin(sj0array[0]);
+ cj0array[0] = IKcos(j0array[0]);
+ sj0array[1] = sj0array[0];
+ j0array[1] = j0array[0] > 0 ? (IKPI-j0array[0]) : (-IKPI-j0array[0]);
+ cj0array[1] = -cj0array[0];
+}
+else if( isnan(sj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1190=IKcos(j0);
+IkReal x1191=IKsin(j0);
+IkReal x1192=((1.0)*gconst32);
+IkReal x1193=(x1191*x1192);
+IkReal x1194=((-1.0)*x1190);
+evalcond[0]=(new_r01*x1190);
+evalcond[1]=(new_r10*x1194);
+evalcond[2]=(gconst32*x1194);
+evalcond[3]=((((-1.0)*x1193))+new_r01);
+evalcond[4]=((((-1.0)*x1193))+new_r10);
+evalcond[5]=((((-1.0)*x1192))+((new_r10*x1191)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+evalcond[1]=gconst32;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[4];
+CheckValue<IkReal> x1196 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1196.valid){
+continue;
+}
+IkReal x1195=((1.0)*(x1196.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1195)));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1195)));
+IkReal gconst32=((1.0)*new_r10);
+IkReal gconst33=((1.0)*new_r00);
+j0eval[0]=1.0;
+j0eval[1]=new_r10;
+j0eval[2]=1.0;
+j0eval[3]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 || IKabs(j0eval[3]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[4];
+CheckValue<IkReal> x1198 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1198.valid){
+continue;
+}
+IkReal x1197=((1.0)*(x1198.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1197)));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1197)));
+IkReal gconst32=((1.0)*new_r10);
+IkReal gconst33=((1.0)*new_r00);
+j0eval[0]=1.0;
+j0eval[1]=new_r10;
+j0eval[2]=1.0;
+j0eval[3]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 || IKabs(j0eval[3]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1200 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1200.valid){
+continue;
+}
+IkReal x1199=((1.0)*(x1200.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1199)));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1199)));
+IkReal gconst32=((1.0)*new_r10);
+IkReal gconst33=((1.0)*new_r00);
+j0eval[0]=-1.0;
+j0eval[1]=((IKabs(((1.0)+(((-1.0)*(new_r10*new_r10))))))+(IKabs(((1.0)*new_r00*new_r10))));
+j0eval[2]=-1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1201=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst33*new_r00))+(((-1.0)*gconst32*new_r10)))),-1);
+if(!x1201.valid){
+continue;
+}
+CheckValue<IkReal> x1202 = IKatan2WithCheck(IkReal(gconst33*gconst33),IkReal(((-1.0)*gconst32*gconst33)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1202.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1201.value)))+(x1202.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1203=IKsin(j0);
+IkReal x1204=IKcos(j0);
+IkReal x1205=((1.0)*gconst32);
+IkReal x1206=(gconst33*x1203);
+IkReal x1207=((1.0)*x1204);
+IkReal x1208=(((gconst33*x1207))+((x1203*x1205)));
+evalcond[0]=((((-1.0)*x1206))+((gconst32*x1204)));
+evalcond[1]=(((new_r00*x1203))+gconst33+(((-1.0)*new_r10*x1207)));
+evalcond[2]=((((-1.0)*x1204*x1205))+x1206+new_r00);
+evalcond[3]=((-1.0)*x1208);
+evalcond[4]=(((new_r00*x1204))+((new_r10*x1203))+(((-1.0)*x1205)));
+evalcond[5]=(new_r10+(((-1.0)*x1208)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1209=IKPowWithIntegerCheck(IKsign(((gconst32*gconst32)+(gconst33*gconst33))),-1);
+if(!x1209.valid){
+continue;
+}
+CheckValue<IkReal> x1210 = IKatan2WithCheck(IkReal((gconst32*new_r10)),IkReal((gconst33*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1210.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1209.value)))+(x1210.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1211=IKsin(j0);
+IkReal x1212=IKcos(j0);
+IkReal x1213=((1.0)*gconst32);
+IkReal x1214=(gconst33*x1211);
+IkReal x1215=((1.0)*x1212);
+IkReal x1216=(((gconst33*x1215))+((x1211*x1213)));
+evalcond[0]=(((gconst32*x1212))+(((-1.0)*x1214)));
+evalcond[1]=(gconst33+((new_r00*x1211))+(((-1.0)*new_r10*x1215)));
+evalcond[2]=(x1214+(((-1.0)*x1212*x1213))+new_r00);
+evalcond[3]=((-1.0)*x1216);
+evalcond[4]=(((new_r10*x1211))+((new_r00*x1212))+(((-1.0)*x1213)));
+evalcond[5]=(new_r10+(((-1.0)*x1216)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1217=IKPowWithIntegerCheck(IKsign((((gconst33*new_r00))+((gconst32*new_r10)))),-1);
+if(!x1217.valid){
+continue;
+}
+CheckValue<IkReal> x1218 = IKatan2WithCheck(IkReal(gconst32*gconst32),IkReal((gconst32*gconst33)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1218.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1217.value)))+(x1218.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1219=IKsin(j0);
+IkReal x1220=IKcos(j0);
+IkReal x1221=((1.0)*gconst32);
+IkReal x1222=(gconst33*x1219);
+IkReal x1223=((1.0)*x1220);
+IkReal x1224=(((x1219*x1221))+((gconst33*x1223)));
+evalcond[0]=((((-1.0)*x1222))+((gconst32*x1220)));
+evalcond[1]=(gconst33+((new_r00*x1219))+(((-1.0)*new_r10*x1223)));
+evalcond[2]=(x1222+(((-1.0)*x1220*x1221))+new_r00);
+evalcond[3]=((-1.0)*x1224);
+evalcond[4]=(((new_r10*x1219))+(((-1.0)*x1221))+((new_r00*x1220)));
+evalcond[5]=((((-1.0)*x1224))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1225=IKPowWithIntegerCheck(gconst33,-1);
+if(!x1225.valid){
+continue;
+}
+sj0array[0]=(new_r11*(x1225.value));
+if( sj0array[0] >= -1-IKFAST_SINCOS_THRESH && sj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKasin(sj0array[0]);
+ cj0array[0] = IKcos(j0array[0]);
+ sj0array[1] = sj0array[0];
+ j0array[1] = j0array[0] > 0 ? (IKPI-j0array[0]) : (-IKPI-j0array[0]);
+ cj0array[1] = -cj0array[0];
+}
+else if( isnan(sj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1226=IKcos(j0);
+IkReal x1227=IKsin(j0);
+evalcond[0]=(new_r11*x1226);
+evalcond[1]=(new_r00*x1226);
+evalcond[2]=((-1.0)*gconst33*x1226);
+evalcond[3]=(gconst33+((new_r00*x1227)));
+evalcond[4]=(((gconst33*x1227))+new_r00);
+evalcond[5]=(((new_r11*x1227))+(((-1.0)*gconst33)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1229 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1229.valid){
+continue;
+}
+IkReal x1228=((1.0)*(x1229.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1228)));
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1228)));
+IkReal gconst32=0;
+IkReal x1230 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x1230)==0){
+continue;
+}
+IkReal gconst33=((1.0)*new_r00*(pow(x1230,-0.5)));
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1232 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1232.valid){
+continue;
+}
+IkReal x1231=((1.0)*(x1232.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1231)));
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1231)));
+IkReal gconst32=0;
+IkReal x1233 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x1233)==0){
+continue;
+}
+IkReal gconst33=((1.0)*new_r00*(pow(x1233,-0.5)));
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x1235 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1235.valid){
+continue;
+}
+IkReal x1234=((1.0)*(x1235.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1234)));
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1234)));
+IkReal gconst32=0;
+IkReal x1236 = ((1.0)+(((-1.0)*(new_r01*new_r01))));
+if(IKabs(x1236)==0){
+continue;
+}
+IkReal gconst33=((1.0)*new_r00*(pow(x1236,-0.5)));
+j0eval[0]=new_r00;
+j0eval[1]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1237=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1237.valid){
+continue;
+}
+CheckValue<IkReal> x1238=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1238.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst33*(x1237.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst33*(x1238.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst33*(x1237.value)))+IKsqr((gconst33*(x1238.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst33*(x1237.value)), (gconst33*(x1238.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1239=IKsin(j0);
+IkReal x1240=IKcos(j0);
+IkReal x1241=((1.0)*gconst33);
+IkReal x1242=(gconst33*x1239);
+evalcond[0]=(new_r00*x1240);
+evalcond[1]=((-1.0)*new_r01*x1239);
+evalcond[2]=((-1.0)*x1242);
+evalcond[3]=((-1.0)*gconst33*x1240);
+evalcond[4]=(gconst33+((new_r00*x1239)));
+evalcond[5]=(x1242+new_r00);
+evalcond[6]=((((-1.0)*x1240*x1241))+new_r01);
+evalcond[7]=((((-1.0)*x1241))+((new_r01*x1240)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1243=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1243.valid){
+continue;
+}
+CheckValue<IkReal> x1244=IKPowWithIntegerCheck(gconst33,-1);
+if(!x1244.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst33*(x1243.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r01*(x1244.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst33*(x1243.value)))+IKsqr((new_r01*(x1244.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst33*(x1243.value)), (new_r01*(x1244.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1245=IKsin(j0);
+IkReal x1246=IKcos(j0);
+IkReal x1247=((1.0)*gconst33);
+IkReal x1248=(gconst33*x1245);
+evalcond[0]=(new_r00*x1246);
+evalcond[1]=((-1.0)*new_r01*x1245);
+evalcond[2]=((-1.0)*x1248);
+evalcond[3]=((-1.0)*gconst33*x1246);
+evalcond[4]=(gconst33+((new_r00*x1245)));
+evalcond[5]=(x1248+new_r00);
+evalcond[6]=(new_r01+(((-1.0)*x1246*x1247)));
+evalcond[7]=((((-1.0)*x1247))+((new_r01*x1246)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1249 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1249.valid){
+continue;
+}
+CheckValue<IkReal> x1250=IKPowWithIntegerCheck(IKsign(gconst33),-1);
+if(!x1250.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1249.value)+(((1.5707963267949)*(x1250.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1251=IKsin(j0);
+IkReal x1252=IKcos(j0);
+IkReal x1253=((1.0)*gconst33);
+IkReal x1254=(gconst33*x1251);
+evalcond[0]=(new_r00*x1252);
+evalcond[1]=((-1.0)*new_r01*x1251);
+evalcond[2]=((-1.0)*x1254);
+evalcond[3]=((-1.0)*gconst33*x1252);
+evalcond[4]=(((new_r00*x1251))+gconst33);
+evalcond[5]=(x1254+new_r00);
+evalcond[6]=((((-1.0)*x1252*x1253))+new_r01);
+evalcond[7]=((((-1.0)*x1253))+((new_r01*x1252)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r10);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1256 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1256.valid){
+continue;
+}
+IkReal x1255=((1.0)*(x1256.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1255)));
+new_r10=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1255)));
+IkReal gconst32=0;
+IkReal x1257 = new_r00*new_r00;
+if(IKabs(x1257)==0){
+continue;
+}
+IkReal gconst33=((1.0)*new_r00*(pow(x1257,-0.5)));
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1259 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1259.valid){
+continue;
+}
+IkReal x1258=((1.0)*(x1259.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1258)));
+new_r10=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1258)));
+IkReal gconst32=0;
+IkReal x1260 = new_r00*new_r00;
+if(IKabs(x1260)==0){
+continue;
+}
+IkReal gconst33=((1.0)*new_r00*(pow(x1260,-0.5)));
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1262 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1262.valid){
+continue;
+}
+IkReal x1261=((1.0)*(x1262.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1261)));
+new_r10=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1261)));
+IkReal gconst32=0;
+IkReal x1263 = new_r00*new_r00;
+if(IKabs(x1263)==0){
+continue;
+}
+IkReal gconst33=((1.0)*new_r00*(pow(x1263,-0.5)));
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1264=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1264.valid){
+continue;
+}
+CheckValue<IkReal> x1265=IKPowWithIntegerCheck(gconst33,-1);
+if(!x1265.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst33*(x1264.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r01*(x1265.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst33*(x1264.value)))+IKsqr((new_r01*(x1265.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst33*(x1264.value)), (new_r01*(x1265.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1266=IKcos(j0);
+IkReal x1267=IKsin(j0);
+IkReal x1268=((1.0)*gconst33);
+evalcond[0]=(new_r00*x1266);
+evalcond[1]=((-1.0)*gconst33*x1266);
+evalcond[2]=(gconst33+((new_r00*x1267)));
+evalcond[3]=(((gconst33*x1267))+new_r00);
+evalcond[4]=((((-1.0)*x1267*x1268))+new_r11);
+evalcond[5]=((((-1.0)*x1266*x1268))+new_r01);
+evalcond[6]=((((-1.0)*new_r01*x1267))+((new_r11*x1266)));
+evalcond[7]=(((new_r01*x1266))+((new_r11*x1267))+(((-1.0)*x1268)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1269 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1269.valid){
+continue;
+}
+CheckValue<IkReal> x1270=IKPowWithIntegerCheck(IKsign(gconst33),-1);
+if(!x1270.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1269.value)+(((1.5707963267949)*(x1270.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1271=IKcos(j0);
+IkReal x1272=IKsin(j0);
+IkReal x1273=((1.0)*gconst33);
+evalcond[0]=(new_r00*x1271);
+evalcond[1]=((-1.0)*gconst33*x1271);
+evalcond[2]=(((new_r00*x1272))+gconst33);
+evalcond[3]=(((gconst33*x1272))+new_r00);
+evalcond[4]=((((-1.0)*x1272*x1273))+new_r11);
+evalcond[5]=((((-1.0)*x1271*x1273))+new_r01);
+evalcond[6]=((((-1.0)*new_r01*x1272))+((new_r11*x1271)));
+evalcond[7]=(((new_r01*x1271))+(((-1.0)*x1273))+((new_r11*x1272)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1274 = IKatan2WithCheck(IkReal(new_r11),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1274.valid){
+continue;
+}
+CheckValue<IkReal> x1275=IKPowWithIntegerCheck(IKsign(gconst33),-1);
+if(!x1275.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1274.value)+(((1.5707963267949)*(x1275.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1276=IKcos(j0);
+IkReal x1277=IKsin(j0);
+IkReal x1278=((1.0)*gconst33);
+evalcond[0]=(new_r00*x1276);
+evalcond[1]=((-1.0)*gconst33*x1276);
+evalcond[2]=(((new_r00*x1277))+gconst33);
+evalcond[3]=(((gconst33*x1277))+new_r00);
+evalcond[4]=((((-1.0)*x1277*x1278))+new_r11);
+evalcond[5]=((((-1.0)*x1276*x1278))+new_r01);
+evalcond[6]=((((-1.0)*new_r01*x1277))+((new_r11*x1276)));
+evalcond[7]=(((new_r01*x1276))+(((-1.0)*x1278))+((new_r11*x1277)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1280 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1280.valid){
+continue;
+}
+IkReal x1279=((1.0)*(x1280.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1279)));
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1279)));
+IkReal x1281 = new_r10*new_r10;
+if(IKabs(x1281)==0){
+continue;
+}
+IkReal gconst32=((1.0)*new_r10*(pow(x1281,-0.5)));
+IkReal gconst33=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1283 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1283.valid){
+continue;
+}
+IkReal x1282=((1.0)*(x1283.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1282)));
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1282)));
+IkReal x1284 = new_r10*new_r10;
+if(IKabs(x1284)==0){
+continue;
+}
+IkReal gconst32=((1.0)*new_r10*(pow(x1284,-0.5)));
+IkReal gconst33=0;
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x1286 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1286.valid){
+continue;
+}
+IkReal x1285=((1.0)*(x1286.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst32;
+cj2=gconst33;
+j2=((3.14159265)+(((-1.0)*x1285)));
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst31=((3.14159265358979)+(((-1.0)*x1285)));
+IkReal x1287 = new_r10*new_r10;
+if(IKabs(x1287)==0){
+continue;
+}
+IkReal gconst32=((1.0)*new_r10*(pow(x1287,-0.5)));
+IkReal gconst33=0;
+j0eval[0]=new_r10;
+j0eval[1]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1288=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1288.valid){
+continue;
+}
+CheckValue<IkReal> x1289=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1289.valid){
+continue;
+}
+if( IKabs((gconst32*(x1288.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst32*(x1289.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst32*(x1288.value)))+IKsqr(((-1.0)*gconst32*(x1289.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst32*(x1288.value)), ((-1.0)*gconst32*(x1289.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1290=IKcos(j0);
+IkReal x1291=IKsin(j0);
+IkReal x1292=((1.0)*gconst32);
+IkReal x1293=(gconst32*x1290);
+evalcond[0]=(new_r11*x1291);
+evalcond[1]=((-1.0)*new_r10*x1290);
+evalcond[2]=((-1.0)*x1293);
+evalcond[3]=((-1.0)*gconst32*x1291);
+evalcond[4]=(gconst32+((new_r11*x1290)));
+evalcond[5]=(x1293+new_r11);
+evalcond[6]=(new_r10+(((-1.0)*x1291*x1292)));
+evalcond[7]=((((-1.0)*x1292))+((new_r10*x1291)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1294=IKPowWithIntegerCheck(gconst32,-1);
+if(!x1294.valid){
+continue;
+}
+CheckValue<IkReal> x1295=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1295.valid){
+continue;
+}
+if( IKabs((new_r10*(x1294.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst32*(x1295.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r10*(x1294.value)))+IKsqr(((-1.0)*gconst32*(x1295.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r10*(x1294.value)), ((-1.0)*gconst32*(x1295.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1296=IKcos(j0);
+IkReal x1297=IKsin(j0);
+IkReal x1298=((1.0)*gconst32);
+IkReal x1299=(gconst32*x1296);
+evalcond[0]=(new_r11*x1297);
+evalcond[1]=((-1.0)*new_r10*x1296);
+evalcond[2]=((-1.0)*x1299);
+evalcond[3]=((-1.0)*gconst32*x1297);
+evalcond[4]=(gconst32+((new_r11*x1296)));
+evalcond[5]=(x1299+new_r11);
+evalcond[6]=((((-1.0)*x1297*x1298))+new_r10);
+evalcond[7]=((((-1.0)*x1298))+((new_r10*x1297)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1300 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1300.valid){
+continue;
+}
+CheckValue<IkReal> x1301=IKPowWithIntegerCheck(IKsign(gconst32),-1);
+if(!x1301.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1300.value)+(((1.5707963267949)*(x1301.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1302=IKcos(j0);
+IkReal x1303=IKsin(j0);
+IkReal x1304=((1.0)*gconst32);
+IkReal x1305=(gconst32*x1302);
+evalcond[0]=(new_r11*x1303);
+evalcond[1]=((-1.0)*new_r10*x1302);
+evalcond[2]=((-1.0)*x1305);
+evalcond[3]=((-1.0)*gconst32*x1303);
+evalcond[4]=(gconst32+((new_r11*x1302)));
+evalcond[5]=(x1305+new_r11);
+evalcond[6]=((((-1.0)*x1303*x1304))+new_r10);
+evalcond[7]=((((-1.0)*x1304))+((new_r10*x1303)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1306 = IKatan2WithCheck(IkReal((((gconst32*new_r11))+((gconst32*new_r00)))),IkReal(((((-1.0)*gconst32*new_r10))+((gconst32*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1306.valid){
+continue;
+}
+CheckValue<IkReal> x1307=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x1307.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1306.value)+(((1.5707963267949)*(x1307.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1308=IKsin(j0);
+IkReal x1309=IKcos(j0);
+IkReal x1310=((1.0)*gconst32);
+IkReal x1311=(gconst33*x1308);
+IkReal x1312=((1.0)*x1309);
+IkReal x1313=(((gconst33*x1312))+((x1308*x1310)));
+evalcond[0]=(gconst32+((new_r11*x1309))+(((-1.0)*new_r01*x1308)));
+evalcond[1]=((((-1.0)*new_r10*x1312))+gconst33+((new_r00*x1308)));
+evalcond[2]=(x1311+new_r00+(((-1.0)*x1309*x1310)));
+evalcond[3]=((((-1.0)*x1311))+((gconst32*x1309))+new_r11);
+evalcond[4]=((((-1.0)*x1310))+((new_r10*x1308))+((new_r00*x1309)));
+evalcond[5]=(((new_r11*x1308))+(((-1.0)*gconst33))+((new_r01*x1309)));
+evalcond[6]=((((-1.0)*x1313))+new_r01);
+evalcond[7]=((((-1.0)*x1313))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1314=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst33*new_r11))+((gconst32*new_r01)))),-1);
+if(!x1314.valid){
+continue;
+}
+CheckValue<IkReal> x1315 = IKatan2WithCheck(IkReal((((new_r00*new_r11))+(gconst32*gconst32))),IkReal((((gconst32*gconst33))+((new_r00*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1315.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1314.value)))+(x1315.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1316=IKsin(j0);
+IkReal x1317=IKcos(j0);
+IkReal x1318=((1.0)*gconst32);
+IkReal x1319=(gconst33*x1316);
+IkReal x1320=((1.0)*x1317);
+IkReal x1321=(((gconst33*x1320))+((x1316*x1318)));
+evalcond[0]=(gconst32+((new_r11*x1317))+(((-1.0)*new_r01*x1316)));
+evalcond[1]=(((new_r00*x1316))+(((-1.0)*new_r10*x1320))+gconst33);
+evalcond[2]=(x1319+(((-1.0)*x1317*x1318))+new_r00);
+evalcond[3]=((((-1.0)*x1319))+((gconst32*x1317))+new_r11);
+evalcond[4]=(((new_r00*x1317))+(((-1.0)*x1318))+((new_r10*x1316)));
+evalcond[5]=(((new_r01*x1317))+((new_r11*x1316))+(((-1.0)*gconst33)));
+evalcond[6]=((((-1.0)*x1321))+new_r01);
+evalcond[7]=((((-1.0)*x1321))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1322=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x1322.valid){
+continue;
+}
+CheckValue<IkReal> x1323 = IKatan2WithCheck(IkReal((((gconst33*new_r11))+((gconst32*new_r10)))),IkReal((((gconst33*new_r01))+((gconst32*new_r00)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1323.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1322.value)))+(x1323.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1324=IKsin(j0);
+IkReal x1325=IKcos(j0);
+IkReal x1326=((1.0)*gconst32);
+IkReal x1327=(gconst33*x1324);
+IkReal x1328=((1.0)*x1325);
+IkReal x1329=(((gconst33*x1328))+((x1324*x1326)));
+evalcond[0]=(gconst32+((new_r11*x1325))+(((-1.0)*new_r01*x1324)));
+evalcond[1]=(((new_r00*x1324))+(((-1.0)*new_r10*x1328))+gconst33);
+evalcond[2]=(x1327+(((-1.0)*x1325*x1326))+new_r00);
+evalcond[3]=((((-1.0)*x1327))+((gconst32*x1325))+new_r11);
+evalcond[4]=(((new_r00*x1325))+(((-1.0)*x1326))+((new_r10*x1324)));
+evalcond[5]=(((new_r01*x1325))+((new_r11*x1324))+(((-1.0)*gconst33)));
+evalcond[6]=((((-1.0)*x1329))+new_r01);
+evalcond[7]=((((-1.0)*x1329))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1332 = ((new_r01*new_r01)+(new_r11*new_r11));
+if(IKabs(x1332)==0){
+continue;
+}
+IkReal x1330=pow(x1332,-0.5);
+IkReal x1331=((-1.0)*x1330);
+CheckValue<IkReal> x1333 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1333.valid){
+continue;
+}
+IkReal gconst34=((-1.0)*(x1333.value));
+IkReal gconst35=(new_r11*x1331);
+IkReal gconst36=(new_r01*x1331);
+CheckValue<IkReal> x1334 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1334.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x1334.value)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1338 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1338.valid){
+continue;
+}
+IkReal x1335=((-1.0)*(x1338.value));
+IkReal x1336=x1330;
+IkReal x1337=((-1.0)*x1336);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1335;
+IkReal gconst34=x1335;
+IkReal gconst35=(new_r11*x1337);
+IkReal gconst36=(new_r01*x1337);
+IkReal x1339=new_r01*new_r01;
+IkReal x1340=(new_r00*new_r11);
+IkReal x1341=(((new_r01*new_r10))+(((-1.0)*x1340)));
+IkReal x1342=x1330;
+IkReal x1343=((1.0)*new_r11*x1342);
+j0eval[0]=x1341;
+j0eval[1]=IKsign(x1341);
+j0eval[2]=((IKabs(((((-1.0)*new_r10*x1343))+(((-1.0)*new_r01*x1343)))))+(IKabs((((x1339*x1342))+((x1340*x1342))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1347 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1347.valid){
+continue;
+}
+IkReal x1344=((-1.0)*(x1347.value));
+IkReal x1345=x1330;
+IkReal x1346=((-1.0)*x1345);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1344;
+IkReal gconst34=x1344;
+IkReal gconst35=(new_r11*x1346);
+IkReal gconst36=(new_r01*x1346);
+IkReal x1348=new_r11*new_r11;
+IkReal x1349=(((new_r10*new_r11))+((new_r00*new_r01)));
+IkReal x1350=x1330;
+IkReal x1351=(new_r11*x1350);
+j0eval[0]=x1349;
+j0eval[1]=IKsign(x1349);
+j0eval[2]=((IKabs((((new_r10*x1351))+(((-1.0)*new_r01*x1351)))))+(IKabs(((((-1.0)*x1348*x1350))+(((-1.0)*new_r00*x1351))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1355 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1355.valid){
+continue;
+}
+IkReal x1352=((-1.0)*(x1355.value));
+IkReal x1353=x1330;
+IkReal x1354=((-1.0)*x1353);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1352;
+IkReal gconst34=x1352;
+IkReal gconst35=(new_r11*x1354);
+IkReal gconst36=(new_r01*x1354);
+IkReal x1356=new_r01*new_r01;
+CheckValue<IkReal> x1359=IKPowWithIntegerCheck((x1356+(new_r11*new_r11)),-1);
+if(!x1359.valid){
+continue;
+}
+IkReal x1357=x1359.value;
+IkReal x1358=((1.0)*x1357);
+j0eval[0]=((IKabs(((((-1.0)*x1356*x1358))+(new_r00*new_r00))))+(IKabs((((new_r00*new_r10))+(((-1.0)*new_r01*new_r11*x1358))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+evalcond[1]=gconst36;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+IkReal x1360=((-1.0)*new_r01);
+CheckValue<IkReal> x1362 = IKatan2WithCheck(IkReal(new_r11),IkReal(x1360),IKFAST_ATAN2_MAGTHRESH);
+if(!x1362.valid){
+continue;
+}
+IkReal x1361=((-1.0)*(x1362.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1361;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst34=x1361;
+IkReal gconst35=((-1.0)*new_r11);
+IkReal gconst36=x1360;
+j0eval[0]=-1.0;
+j0eval[1]=-1.0;
+j0eval[2]=((IKabs(new_r01*new_r01))+(IKabs((new_r01*new_r11))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x1363=((-1.0)*new_r01);
+CheckValue<IkReal> x1365 = IKatan2WithCheck(IkReal(new_r11),IkReal(x1363),IKFAST_ATAN2_MAGTHRESH);
+if(!x1365.valid){
+continue;
+}
+IkReal x1364=((-1.0)*(x1365.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1364;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst34=x1364;
+IkReal gconst35=((-1.0)*new_r11);
+IkReal gconst36=x1363;
+j0eval[0]=1.0;
+j0eval[1]=((IKabs(new_r01*new_r01))+(IKabs((new_r01*new_r11))));
+j0eval[2]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+IkReal x1366=((-1.0)*new_r01);
+CheckValue<IkReal> x1368 = IKatan2WithCheck(IkReal(new_r11),IkReal(x1366),IKFAST_ATAN2_MAGTHRESH);
+if(!x1368.valid){
+continue;
+}
+IkReal x1367=((-1.0)*(x1368.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1367;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst34=x1367;
+IkReal gconst35=((-1.0)*new_r11);
+IkReal gconst36=x1366;
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs((new_r01*new_r11)))+(IKabs(((1.0)+(((-1.0)*(new_r01*new_r01)))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1369=IKPowWithIntegerCheck(IKsign(((gconst35*gconst35)+(gconst36*gconst36))),-1);
+if(!x1369.valid){
+continue;
+}
+CheckValue<IkReal> x1370 = IKatan2WithCheck(IkReal((gconst36*new_r11)),IkReal(((-1.0)*gconst35*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1370.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1369.value)))+(x1370.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1371=IKcos(j0);
+IkReal x1372=IKsin(j0);
+IkReal x1373=((1.0)*gconst36);
+IkReal x1374=(gconst35*x1371);
+IkReal x1375=(gconst36*x1372);
+IkReal x1376=((1.0)*x1372);
+IkReal x1377=(((gconst35*x1376))+((x1371*x1373)));
+evalcond[0]=(x1375+(((-1.0)*x1374)));
+evalcond[1]=((((-1.0)*new_r01*x1376))+gconst35+((new_r11*x1371)));
+evalcond[2]=(x1374+(((-1.0)*x1372*x1373))+new_r11);
+evalcond[3]=((-1.0)*x1377);
+evalcond[4]=((((-1.0)*x1373))+((new_r11*x1372))+((new_r01*x1371)));
+evalcond[5]=((((-1.0)*x1377))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1378 = IKatan2WithCheck(IkReal((gconst35*new_r01)),IkReal((gconst36*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1378.valid){
+continue;
+}
+CheckValue<IkReal> x1379=IKPowWithIntegerCheck(IKsign(((gconst35*gconst35)+(gconst36*gconst36))),-1);
+if(!x1379.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1378.value)+(((1.5707963267949)*(x1379.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1380=IKcos(j0);
+IkReal x1381=IKsin(j0);
+IkReal x1382=((1.0)*gconst36);
+IkReal x1383=(gconst35*x1380);
+IkReal x1384=(gconst36*x1381);
+IkReal x1385=((1.0)*x1381);
+IkReal x1386=(((gconst35*x1385))+((x1380*x1382)));
+evalcond[0]=(x1384+(((-1.0)*x1383)));
+evalcond[1]=(((new_r11*x1380))+gconst35+(((-1.0)*new_r01*x1385)));
+evalcond[2]=(x1383+(((-1.0)*x1381*x1382))+new_r11);
+evalcond[3]=((-1.0)*x1386);
+evalcond[4]=((((-1.0)*x1382))+((new_r11*x1381))+((new_r01*x1380)));
+evalcond[5]=((((-1.0)*x1386))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1387=IKPowWithIntegerCheck(IKsign((((gconst36*new_r01))+((gconst35*new_r11)))),-1);
+if(!x1387.valid){
+continue;
+}
+CheckValue<IkReal> x1388 = IKatan2WithCheck(IkReal((gconst35*gconst36)),IkReal(gconst36*gconst36),IKFAST_ATAN2_MAGTHRESH);
+if(!x1388.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1387.value)))+(x1388.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1389=IKcos(j0);
+IkReal x1390=IKsin(j0);
+IkReal x1391=((1.0)*gconst36);
+IkReal x1392=(gconst35*x1389);
+IkReal x1393=(gconst36*x1390);
+IkReal x1394=((1.0)*x1390);
+IkReal x1395=(((gconst35*x1394))+((x1389*x1391)));
+evalcond[0]=(x1393+(((-1.0)*x1392)));
+evalcond[1]=(((new_r11*x1389))+gconst35+(((-1.0)*new_r01*x1394)));
+evalcond[2]=(x1392+(((-1.0)*x1390*x1391))+new_r11);
+evalcond[3]=((-1.0)*x1395);
+evalcond[4]=(((new_r11*x1390))+((new_r01*x1389))+(((-1.0)*x1391)));
+evalcond[5]=(new_r01+(((-1.0)*x1395)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1397 = IKatan2WithCheck(IkReal(new_r11),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1397.valid){
+continue;
+}
+IkReal x1396=((-1.0)*(x1397.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1396;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst34=x1396;
+IkReal x1398 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x1398)==0){
+continue;
+}
+IkReal gconst35=((-1.0)*new_r11*(pow(x1398,-0.5)));
+IkReal gconst36=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1400 = IKatan2WithCheck(IkReal(new_r11),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1400.valid){
+continue;
+}
+IkReal x1399=((-1.0)*(x1400.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1399;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst34=x1399;
+IkReal x1401 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x1401)==0){
+continue;
+}
+IkReal gconst35=((-1.0)*new_r11*(pow(x1401,-0.5)));
+IkReal gconst36=0;
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x1403 = IKatan2WithCheck(IkReal(new_r11),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1403.valid){
+continue;
+}
+IkReal x1402=((-1.0)*(x1403.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1402;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst34=x1402;
+IkReal x1404 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x1404)==0){
+continue;
+}
+IkReal gconst35=((-1.0)*new_r11*(pow(x1404,-0.5)));
+IkReal gconst36=0;
+j0eval[0]=new_r10;
+j0eval[1]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1405=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1405.valid){
+continue;
+}
+CheckValue<IkReal> x1406=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1406.valid){
+continue;
+}
+if( IKabs((gconst35*(x1405.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst35*(x1406.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst35*(x1405.value)))+IKsqr(((-1.0)*gconst35*(x1406.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst35*(x1405.value)), ((-1.0)*gconst35*(x1406.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1407=IKcos(j0);
+IkReal x1408=IKsin(j0);
+IkReal x1409=((1.0)*gconst35);
+IkReal x1410=((-1.0)*x1407);
+evalcond[0]=(new_r11*x1408);
+evalcond[1]=(new_r10*x1410);
+evalcond[2]=(gconst35*x1410);
+evalcond[3]=((-1.0)*gconst35*x1408);
+evalcond[4]=(gconst35+((new_r11*x1407)));
+evalcond[5]=(new_r11+((gconst35*x1407)));
+evalcond[6]=(new_r10+(((-1.0)*x1408*x1409)));
+evalcond[7]=(((new_r10*x1408))+(((-1.0)*x1409)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1411=IKPowWithIntegerCheck(gconst35,-1);
+if(!x1411.valid){
+continue;
+}
+CheckValue<IkReal> x1412=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1412.valid){
+continue;
+}
+if( IKabs((new_r10*(x1411.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst35*(x1412.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r10*(x1411.value)))+IKsqr(((-1.0)*gconst35*(x1412.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r10*(x1411.value)), ((-1.0)*gconst35*(x1412.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1413=IKcos(j0);
+IkReal x1414=IKsin(j0);
+IkReal x1415=((1.0)*gconst35);
+IkReal x1416=((-1.0)*x1413);
+evalcond[0]=(new_r11*x1414);
+evalcond[1]=(new_r10*x1416);
+evalcond[2]=(gconst35*x1416);
+evalcond[3]=((-1.0)*gconst35*x1414);
+evalcond[4]=(gconst35+((new_r11*x1413)));
+evalcond[5]=(((gconst35*x1413))+new_r11);
+evalcond[6]=((((-1.0)*x1414*x1415))+new_r10);
+evalcond[7]=((((-1.0)*x1415))+((new_r10*x1414)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1417 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1417.valid){
+continue;
+}
+CheckValue<IkReal> x1418=IKPowWithIntegerCheck(IKsign(gconst35),-1);
+if(!x1418.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1417.value)+(((1.5707963267949)*(x1418.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1419=IKcos(j0);
+IkReal x1420=IKsin(j0);
+IkReal x1421=((1.0)*gconst35);
+IkReal x1422=((-1.0)*x1419);
+evalcond[0]=(new_r11*x1420);
+evalcond[1]=(new_r10*x1422);
+evalcond[2]=(gconst35*x1422);
+evalcond[3]=((-1.0)*gconst35*x1420);
+evalcond[4]=(gconst35+((new_r11*x1419)));
+evalcond[5]=(((gconst35*x1419))+new_r11);
+evalcond[6]=((((-1.0)*x1420*x1421))+new_r10);
+evalcond[7]=(((new_r10*x1420))+(((-1.0)*x1421)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+IkReal x1423=((-1.0)*new_r01);
+CheckValue<IkReal> x1425 = IKatan2WithCheck(IkReal(0),IkReal(x1423),IKFAST_ATAN2_MAGTHRESH);
+if(!x1425.valid){
+continue;
+}
+IkReal x1424=((-1.0)*(x1425.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1424;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst34=x1424;
+IkReal gconst35=0;
+IkReal x1426 = new_r01*new_r01;
+if(IKabs(x1426)==0){
+continue;
+}
+IkReal gconst36=(x1423*(pow(x1426,-0.5)));
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+IkReal x1427=((-1.0)*new_r01);
+CheckValue<IkReal> x1429 = IKatan2WithCheck(IkReal(0),IkReal(x1427),IKFAST_ATAN2_MAGTHRESH);
+if(!x1429.valid){
+continue;
+}
+IkReal x1428=((-1.0)*(x1429.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1428;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst34=x1428;
+IkReal gconst35=0;
+IkReal x1430 = new_r01*new_r01;
+if(IKabs(x1430)==0){
+continue;
+}
+IkReal gconst36=(x1427*(pow(x1430,-0.5)));
+j0eval[0]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+IkReal x1431=((-1.0)*new_r01);
+CheckValue<IkReal> x1433 = IKatan2WithCheck(IkReal(0),IkReal(x1431),IKFAST_ATAN2_MAGTHRESH);
+if(!x1433.valid){
+continue;
+}
+IkReal x1432=((-1.0)*(x1433.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst35;
+cj2=gconst36;
+j2=x1432;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+IkReal gconst34=x1432;
+IkReal gconst35=0;
+IkReal x1434 = new_r01*new_r01;
+if(IKabs(x1434)==0){
+continue;
+}
+IkReal gconst36=(x1431*(pow(x1434,-0.5)));
+j0eval[0]=new_r00;
+j0eval[1]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1435=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1435.valid){
+continue;
+}
+CheckValue<IkReal> x1436=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1436.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst36*(x1435.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst36*(x1436.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst36*(x1435.value)))+IKsqr((gconst36*(x1436.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst36*(x1435.value)), (gconst36*(x1436.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1437=IKsin(j0);
+IkReal x1438=IKcos(j0);
+IkReal x1439=((1.0)*gconst36);
+IkReal x1440=((-1.0)*x1437);
+evalcond[0]=(new_r00*x1438);
+evalcond[1]=(new_r01*x1440);
+evalcond[2]=(gconst36*x1440);
+evalcond[3]=((-1.0)*gconst36*x1438);
+evalcond[4]=(((new_r00*x1437))+gconst36);
+evalcond[5]=(((gconst36*x1437))+new_r00);
+evalcond[6]=((((-1.0)*x1438*x1439))+new_r01);
+evalcond[7]=(((new_r01*x1438))+(((-1.0)*x1439)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1441=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1441.valid){
+continue;
+}
+CheckValue<IkReal> x1442=IKPowWithIntegerCheck(gconst36,-1);
+if(!x1442.valid){
+continue;
+}
+if( IKabs(((-1.0)*gconst36*(x1441.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r01*(x1442.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*gconst36*(x1441.value)))+IKsqr((new_r01*(x1442.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*gconst36*(x1441.value)), (new_r01*(x1442.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1443=IKsin(j0);
+IkReal x1444=IKcos(j0);
+IkReal x1445=((1.0)*gconst36);
+IkReal x1446=((-1.0)*x1443);
+evalcond[0]=(new_r00*x1444);
+evalcond[1]=(new_r01*x1446);
+evalcond[2]=(gconst36*x1446);
+evalcond[3]=((-1.0)*gconst36*x1444);
+evalcond[4]=(gconst36+((new_r00*x1443)));
+evalcond[5]=(((gconst36*x1443))+new_r00);
+evalcond[6]=(new_r01+(((-1.0)*x1444*x1445)));
+evalcond[7]=(((new_r01*x1444))+(((-1.0)*x1445)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1447 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1447.valid){
+continue;
+}
+CheckValue<IkReal> x1448=IKPowWithIntegerCheck(IKsign(gconst36),-1);
+if(!x1448.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1447.value)+(((1.5707963267949)*(x1448.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1449=IKsin(j0);
+IkReal x1450=IKcos(j0);
+IkReal x1451=((1.0)*gconst36);
+IkReal x1452=((-1.0)*x1449);
+evalcond[0]=(new_r00*x1450);
+evalcond[1]=(new_r01*x1452);
+evalcond[2]=(gconst36*x1452);
+evalcond[3]=((-1.0)*gconst36*x1450);
+evalcond[4]=(gconst36+((new_r00*x1449)));
+evalcond[5]=(((gconst36*x1449))+new_r00);
+evalcond[6]=(new_r01+(((-1.0)*x1450*x1451)));
+evalcond[7]=((((-1.0)*x1451))+((new_r01*x1450)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x1453=((1.0)*gconst36);
+CheckValue<IkReal> x1454=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r10*x1453))+((gconst35*new_r00)))),-1);
+if(!x1454.valid){
+continue;
+}
+CheckValue<IkReal> x1455 = IKatan2WithCheck(IkReal(((((-1.0)*gconst35*x1453))+((new_r00*new_r10)))),IkReal(((((-1.0)*gconst36*x1453))+(new_r00*new_r00))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1455.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1454.value)))+(x1455.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1456=IKsin(j0);
+IkReal x1457=IKcos(j0);
+IkReal x1458=((1.0)*gconst35);
+IkReal x1459=(gconst35*x1457);
+IkReal x1460=((1.0)*x1457);
+IkReal x1461=(gconst36*x1456);
+IkReal x1462=(((x1456*x1458))+((gconst36*x1460)));
+evalcond[0]=(gconst35+((new_r11*x1457))+(((-1.0)*new_r01*x1456)));
+evalcond[1]=((((-1.0)*new_r10*x1460))+gconst36+((new_r00*x1456)));
+evalcond[2]=((((-1.0)*x1457*x1458))+x1461+new_r00);
+evalcond[3]=(x1459+new_r11+(((-1.0)*x1461)));
+evalcond[4]=((((-1.0)*x1458))+((new_r00*x1457))+((new_r10*x1456)));
+evalcond[5]=(((new_r01*x1457))+((new_r11*x1456))+(((-1.0)*gconst36)));
+evalcond[6]=((((-1.0)*x1462))+new_r01);
+evalcond[7]=((((-1.0)*x1462))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1463 = IKatan2WithCheck(IkReal((((gconst35*new_r00))+((gconst35*new_r11)))),IkReal((((gconst35*new_r01))+(((-1.0)*gconst35*new_r10)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1463.valid){
+continue;
+}
+CheckValue<IkReal> x1464=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x1464.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1463.value)+(((1.5707963267949)*(x1464.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1465=IKsin(j0);
+IkReal x1466=IKcos(j0);
+IkReal x1467=((1.0)*gconst35);
+IkReal x1468=(gconst35*x1466);
+IkReal x1469=((1.0)*x1466);
+IkReal x1470=(gconst36*x1465);
+IkReal x1471=(((gconst36*x1469))+((x1465*x1467)));
+evalcond[0]=((((-1.0)*new_r01*x1465))+gconst35+((new_r11*x1466)));
+evalcond[1]=((((-1.0)*new_r10*x1469))+((new_r00*x1465))+gconst36);
+evalcond[2]=((((-1.0)*x1466*x1467))+x1470+new_r00);
+evalcond[3]=((((-1.0)*x1470))+x1468+new_r11);
+evalcond[4]=(((new_r00*x1466))+(((-1.0)*x1467))+((new_r10*x1465)));
+evalcond[5]=(((new_r01*x1466))+((new_r11*x1465))+(((-1.0)*gconst36)));
+evalcond[6]=((((-1.0)*x1471))+new_r01);
+evalcond[7]=((((-1.0)*x1471))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1472=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x1472.valid){
+continue;
+}
+CheckValue<IkReal> x1473 = IKatan2WithCheck(IkReal((((gconst36*new_r11))+((gconst35*new_r10)))),IkReal((((gconst35*new_r00))+((gconst36*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1473.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1472.value)))+(x1473.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1474=IKsin(j0);
+IkReal x1475=IKcos(j0);
+IkReal x1476=((1.0)*gconst35);
+IkReal x1477=(gconst35*x1475);
+IkReal x1478=((1.0)*x1475);
+IkReal x1479=(gconst36*x1474);
+IkReal x1480=(((x1474*x1476))+((gconst36*x1478)));
+evalcond[0]=(((new_r11*x1475))+gconst35+(((-1.0)*new_r01*x1474)));
+evalcond[1]=(gconst36+((new_r00*x1474))+(((-1.0)*new_r10*x1478)));
+evalcond[2]=((((-1.0)*x1475*x1476))+x1479+new_r00);
+evalcond[3]=((((-1.0)*x1479))+x1477+new_r11);
+evalcond[4]=(((new_r10*x1474))+((new_r00*x1475))+(((-1.0)*x1476)));
+evalcond[5]=(((new_r11*x1474))+((new_r01*x1475))+(((-1.0)*gconst36)));
+evalcond[6]=((((-1.0)*x1480))+new_r01);
+evalcond[7]=((((-1.0)*x1480))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1483 = ((new_r01*new_r01)+(new_r11*new_r11));
+if(IKabs(x1483)==0){
+continue;
+}
+IkReal x1481=pow(x1483,-0.5);
+IkReal x1482=((1.0)*x1481);
+CheckValue<IkReal> x1484 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1484.valid){
+continue;
+}
+IkReal gconst37=((3.14159265358979)+(((-1.0)*(x1484.value))));
+IkReal gconst38=(new_r11*x1482);
+IkReal gconst39=(new_r01*x1482);
+CheckValue<IkReal> x1485 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1485.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x1485.value)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1489 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1489.valid){
+continue;
+}
+IkReal x1486=((1.0)*(x1489.value));
+IkReal x1487=x1481;
+IkReal x1488=((1.0)*x1487);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1486)));
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1486)));
+IkReal gconst38=(new_r11*x1488);
+IkReal gconst39=(new_r01*x1488);
+IkReal x1490=new_r01*new_r01;
+IkReal x1491=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+IkReal x1492=x1481;
+IkReal x1493=(new_r11*x1492);
+j0eval[0]=x1491;
+j0eval[1]=IKsign(x1491);
+j0eval[2]=((IKabs((((new_r00*x1493))+((x1490*x1492)))))+(IKabs((((new_r01*x1493))+((new_r10*x1493))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1497 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1497.valid){
+continue;
+}
+IkReal x1494=((1.0)*(x1497.value));
+IkReal x1495=x1481;
+IkReal x1496=((1.0)*x1495);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1494)));
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1494)));
+IkReal gconst38=(new_r11*x1496);
+IkReal gconst39=(new_r01*x1496);
+IkReal x1498=new_r01*new_r01;
+IkReal x1499=new_r11*new_r11*new_r11;
+CheckValue<IkReal> x1503=IKPowWithIntegerCheck(((new_r11*new_r11)+x1498),-1);
+if(!x1503.valid){
+continue;
+}
+IkReal x1500=x1503.value;
+IkReal x1501=(x1498*x1500);
+IkReal x1502=(x1499*x1500);
+j0eval[0]=((IKabs((((new_r10*x1502))+((new_r01*new_r11*x1500))+((new_r10*new_r11*x1501)))))+(IKabs((((new_r00*new_r11*x1501))+x1501+((new_r00*x1502))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1507 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1507.valid){
+continue;
+}
+IkReal x1504=((1.0)*(x1507.value));
+IkReal x1505=x1481;
+IkReal x1506=((1.0)*x1505);
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1504)));
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1504)));
+IkReal gconst38=(new_r11*x1506);
+IkReal gconst39=(new_r01*x1506);
+IkReal x1508=new_r11*new_r11;
+IkReal x1509=(new_r10*new_r11);
+IkReal x1510=(((new_r00*new_r01))+x1509);
+IkReal x1511=x1481;
+IkReal x1512=(new_r11*x1511);
+j0eval[0]=x1510;
+j0eval[1]=IKsign(x1510);
+j0eval[2]=((IKabs(((((-1.0)*x1509*x1511))+((new_r01*x1512)))))+(IKabs((((x1508*x1511))+((new_r00*x1512))))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[2];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1514 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1514.valid){
+continue;
+}
+IkReal x1513=((1.0)*(x1514.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1513)));
+new_r11=0;
+new_r00=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1513)));
+IkReal gconst38=0;
+IkReal x1515 = new_r01*new_r01;
+if(IKabs(x1515)==0){
+continue;
+}
+IkReal gconst39=((1.0)*new_r01*(pow(x1515,-0.5)));
+j0eval[0]=new_r10;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1516=IKPowWithIntegerCheck(gconst39,-1);
+if(!x1516.valid){
+continue;
+}
+cj0array[0]=(new_r01*(x1516.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1517=IKsin(j0);
+IkReal x1518=IKcos(j0);
+IkReal x1519=((1.0)*x1518);
+evalcond[0]=(new_r10*x1517);
+evalcond[1]=(gconst39*x1517);
+evalcond[2]=((-1.0)*new_r01*x1517);
+evalcond[3]=((((-1.0)*new_r10*x1519))+gconst39);
+evalcond[4]=((((-1.0)*gconst39*x1519))+new_r10);
+evalcond[5]=(((new_r01*x1518))+(((-1.0)*gconst39)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1520=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1520.valid){
+continue;
+}
+cj0array[0]=(gconst39*(x1520.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1521=IKsin(j0);
+IkReal x1522=IKcos(j0);
+IkReal x1523=((1.0)*gconst39);
+IkReal x1524=(x1522*x1523);
+evalcond[0]=(new_r10*x1521);
+evalcond[1]=(gconst39*x1521);
+evalcond[2]=((-1.0)*new_r01*x1521);
+evalcond[3]=((((-1.0)*x1524))+new_r01);
+evalcond[4]=((((-1.0)*x1524))+new_r10);
+evalcond[5]=((((-1.0)*x1523))+((new_r01*x1522)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+evalcond[1]=gconst39;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[4];
+CheckValue<IkReal> x1526 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1526.valid){
+continue;
+}
+IkReal x1525=((1.0)*(x1526.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1525)));
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1525)));
+IkReal gconst38=((1.0)*new_r11);
+IkReal gconst39=((1.0)*new_r01);
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=new_r01;
+j0eval[3]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 || IKabs(j0eval[3]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[4];
+CheckValue<IkReal> x1528 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1528.valid){
+continue;
+}
+IkReal x1527=((1.0)*(x1528.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1527)));
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1527)));
+IkReal gconst38=((1.0)*new_r11);
+IkReal gconst39=((1.0)*new_r01);
+j0eval[0]=1.0;
+j0eval[1]=new_r01;
+j0eval[2]=1.0;
+j0eval[3]=1.0;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 || IKabs(j0eval[3]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+CheckValue<IkReal> x1530 = IKatan2WithCheck(IkReal(new_r11),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1530.valid){
+continue;
+}
+IkReal x1529=((1.0)*(x1530.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1529)));
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1529)));
+IkReal gconst38=((1.0)*new_r11);
+IkReal gconst39=((1.0)*new_r01);
+j0eval[0]=1.0;
+j0eval[1]=1.0;
+j0eval[2]=((IKabs(((-1.0)+(new_r01*new_r01))))+(IKabs(((1.0)*new_r01*new_r11))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1531 = IKatan2WithCheck(IkReal((gconst39*new_r11)),IkReal(((-1.0)*gconst38*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1531.valid){
+continue;
+}
+CheckValue<IkReal> x1532=IKPowWithIntegerCheck(IKsign(((gconst38*gconst38)+(gconst39*gconst39))),-1);
+if(!x1532.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1531.value)+(((1.5707963267949)*(x1532.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1533=IKcos(j0);
+IkReal x1534=IKsin(j0);
+IkReal x1535=((1.0)*gconst39);
+IkReal x1536=(gconst38*x1533);
+IkReal x1537=((1.0)*x1534);
+IkReal x1538=(((x1533*x1535))+((gconst38*x1537)));
+evalcond[0]=(((gconst39*x1534))+(((-1.0)*x1536)));
+evalcond[1]=(gconst38+(((-1.0)*new_r01*x1537))+((new_r11*x1533)));
+evalcond[2]=(x1536+(((-1.0)*x1534*x1535))+new_r11);
+evalcond[3]=((-1.0)*x1538);
+evalcond[4]=((((-1.0)*x1535))+((new_r01*x1533))+((new_r11*x1534)));
+evalcond[5]=((((-1.0)*x1538))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1539 = IKatan2WithCheck(IkReal((gconst38*new_r01)),IkReal((gconst39*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1539.valid){
+continue;
+}
+CheckValue<IkReal> x1540=IKPowWithIntegerCheck(IKsign(((gconst38*gconst38)+(gconst39*gconst39))),-1);
+if(!x1540.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1539.value)+(((1.5707963267949)*(x1540.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1541=IKcos(j0);
+IkReal x1542=IKsin(j0);
+IkReal x1543=((1.0)*gconst39);
+IkReal x1544=(gconst38*x1541);
+IkReal x1545=((1.0)*x1542);
+IkReal x1546=(((x1541*x1543))+((gconst38*x1545)));
+evalcond[0]=((((-1.0)*x1544))+((gconst39*x1542)));
+evalcond[1]=(((new_r11*x1541))+gconst38+(((-1.0)*new_r01*x1545)));
+evalcond[2]=(x1544+(((-1.0)*x1542*x1543))+new_r11);
+evalcond[3]=((-1.0)*x1546);
+evalcond[4]=(((new_r01*x1541))+((new_r11*x1542))+(((-1.0)*x1543)));
+evalcond[5]=(new_r01+(((-1.0)*x1546)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1547 = IKatan2WithCheck(IkReal((gconst38*gconst39)),IkReal(gconst39*gconst39),IKFAST_ATAN2_MAGTHRESH);
+if(!x1547.valid){
+continue;
+}
+CheckValue<IkReal> x1548=IKPowWithIntegerCheck(IKsign((((gconst39*new_r01))+((gconst38*new_r11)))),-1);
+if(!x1548.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1547.value)+(((1.5707963267949)*(x1548.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1549=IKcos(j0);
+IkReal x1550=IKsin(j0);
+IkReal x1551=((1.0)*gconst39);
+IkReal x1552=(gconst38*x1549);
+IkReal x1553=((1.0)*x1550);
+IkReal x1554=(((x1549*x1551))+((gconst38*x1553)));
+evalcond[0]=((((-1.0)*x1552))+((gconst39*x1550)));
+evalcond[1]=(((new_r11*x1549))+gconst38+(((-1.0)*new_r01*x1553)));
+evalcond[2]=(x1552+(((-1.0)*x1550*x1551))+new_r11);
+evalcond[3]=((-1.0)*x1554);
+evalcond[4]=(((new_r01*x1549))+((new_r11*x1550))+(((-1.0)*x1551)));
+evalcond[5]=((((-1.0)*x1554))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1555=IKPowWithIntegerCheck(gconst38,-1);
+if(!x1555.valid){
+continue;
+}
+cj0array[0]=(new_r00*(x1555.value));
+if( cj0array[0] >= -1-IKFAST_SINCOS_THRESH && cj0array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j0valid[0] = j0valid[1] = true;
+ j0array[0] = IKacos(cj0array[0]);
+ sj0array[0] = IKsin(j0array[0]);
+ cj0array[1] = cj0array[0];
+ j0array[1] = -j0array[0];
+ sj0array[1] = -sj0array[0];
+}
+else if( isnan(cj0array[0]) )
+{
+ // probably any value will work
+ j0valid[0] = true;
+ cj0array[0] = 1; sj0array[0] = 0; j0array[0] = 0;
+}
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[6];
+IkReal x1556=IKsin(j0);
+IkReal x1557=IKcos(j0);
+evalcond[0]=(new_r00*x1556);
+evalcond[1]=(new_r11*x1556);
+evalcond[2]=((-1.0)*gconst38*x1556);
+evalcond[3]=(gconst38+((new_r11*x1557)));
+evalcond[4]=(new_r11+((gconst38*x1557)));
+evalcond[5]=(((new_r00*x1557))+(((-1.0)*gconst38)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r11);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1559 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1559.valid){
+continue;
+}
+IkReal x1558=((1.0)*(x1559.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1558)));
+new_r11=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1558)));
+IkReal gconst38=0;
+IkReal x1560 = new_r01*new_r01;
+if(IKabs(x1560)==0){
+continue;
+}
+IkReal gconst39=((1.0)*new_r01*(pow(x1560,-0.5)));
+j0eval[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1562 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1562.valid){
+continue;
+}
+IkReal x1561=((1.0)*(x1562.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1561)));
+new_r11=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1561)));
+IkReal gconst38=0;
+IkReal x1563 = new_r01*new_r01;
+if(IKabs(x1563)==0){
+continue;
+}
+IkReal gconst39=((1.0)*new_r01*(pow(x1563,-0.5)));
+j0eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1565 = IKatan2WithCheck(IkReal(0),IkReal(((-1.0)*new_r01)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1565.valid){
+continue;
+}
+IkReal x1564=((1.0)*(x1565.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1564)));
+new_r11=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1564)));
+IkReal gconst38=0;
+IkReal x1566 = new_r01*new_r01;
+if(IKabs(x1566)==0){
+continue;
+}
+IkReal gconst39=((1.0)*new_r01*(pow(x1566,-0.5)));
+j0eval[0]=new_r01;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1567=IKPowWithIntegerCheck(gconst39,-1);
+if(!x1567.valid){
+continue;
+}
+CheckValue<IkReal> x1568=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1568.valid){
+continue;
+}
+if( IKabs(((-1.0)*new_r00*(x1567.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst39*(x1568.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r00*(x1567.value)))+IKsqr((gconst39*(x1568.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*new_r00*(x1567.value)), (gconst39*(x1568.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1569=IKsin(j0);
+IkReal x1570=IKcos(j0);
+IkReal x1571=((1.0)*x1570);
+IkReal x1572=(gconst39*x1571);
+IkReal x1573=((-1.0)*x1569);
+evalcond[0]=(new_r01*x1573);
+evalcond[1]=(gconst39*x1573);
+evalcond[2]=(((gconst39*x1569))+new_r00);
+evalcond[3]=(new_r01+(((-1.0)*x1572)));
+evalcond[4]=(new_r10+(((-1.0)*x1572)));
+evalcond[5]=(((new_r01*x1570))+(((-1.0)*gconst39)));
+evalcond[6]=(((new_r00*x1570))+((new_r10*x1569)));
+evalcond[7]=(((new_r00*x1569))+(((-1.0)*new_r10*x1571))+gconst39);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1574 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x1574.valid){
+continue;
+}
+CheckValue<IkReal> x1575=IKPowWithIntegerCheck(IKsign(gconst39),-1);
+if(!x1575.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1574.value)+(((1.5707963267949)*(x1575.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1576=IKsin(j0);
+IkReal x1577=IKcos(j0);
+IkReal x1578=((1.0)*x1577);
+IkReal x1579=(gconst39*x1578);
+IkReal x1580=((-1.0)*x1576);
+evalcond[0]=(new_r01*x1580);
+evalcond[1]=(gconst39*x1580);
+evalcond[2]=(((gconst39*x1576))+new_r00);
+evalcond[3]=(new_r01+(((-1.0)*x1579)));
+evalcond[4]=(new_r10+(((-1.0)*x1579)));
+evalcond[5]=(((new_r01*x1577))+(((-1.0)*gconst39)));
+evalcond[6]=(((new_r00*x1577))+((new_r10*x1576)));
+evalcond[7]=(((new_r00*x1576))+(((-1.0)*new_r10*x1578))+gconst39);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1581 = IKatan2WithCheck(IkReal(((-1.0)*new_r00)),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1581.valid){
+continue;
+}
+CheckValue<IkReal> x1582=IKPowWithIntegerCheck(IKsign(gconst39),-1);
+if(!x1582.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1581.value)+(((1.5707963267949)*(x1582.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1583=IKsin(j0);
+IkReal x1584=IKcos(j0);
+IkReal x1585=((1.0)*x1584);
+IkReal x1586=(gconst39*x1585);
+IkReal x1587=((-1.0)*x1583);
+evalcond[0]=(new_r01*x1587);
+evalcond[1]=(gconst39*x1587);
+evalcond[2]=(((gconst39*x1583))+new_r00);
+evalcond[3]=((((-1.0)*x1586))+new_r01);
+evalcond[4]=((((-1.0)*x1586))+new_r10);
+evalcond[5]=(((new_r01*x1584))+(((-1.0)*gconst39)));
+evalcond[6]=(((new_r10*x1583))+((new_r00*x1584)));
+evalcond[7]=(((new_r00*x1583))+(((-1.0)*new_r10*x1585))+gconst39);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1589 = IKatan2WithCheck(IkReal(new_r11),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1589.valid){
+continue;
+}
+IkReal x1588=((1.0)*(x1589.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1588)));
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1588)));
+IkReal x1590 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x1590)==0){
+continue;
+}
+IkReal gconst38=((1.0)*new_r11*(pow(x1590,-0.5)));
+IkReal gconst39=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+CheckValue<IkReal> x1592 = IKatan2WithCheck(IkReal(new_r11),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1592.valid){
+continue;
+}
+IkReal x1591=((1.0)*(x1592.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1591)));
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1591)));
+IkReal x1593 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x1593)==0){
+continue;
+}
+IkReal gconst38=((1.0)*new_r11*(pow(x1593,-0.5)));
+IkReal gconst39=0;
+j0eval[0]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+CheckValue<IkReal> x1595 = IKatan2WithCheck(IkReal(new_r11),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1595.valid){
+continue;
+}
+IkReal x1594=((1.0)*(x1595.value));
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+sj2=gconst38;
+cj2=gconst39;
+j2=((3.14159265)+(((-1.0)*x1594)));
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+IkReal gconst37=((3.14159265358979)+(((-1.0)*x1594)));
+IkReal x1596 = ((1.0)+(((-1.0)*(new_r10*new_r10))));
+if(IKabs(x1596)==0){
+continue;
+}
+IkReal gconst38=((1.0)*new_r11*(pow(x1596,-0.5)));
+IkReal gconst39=0;
+j0eval[0]=new_r10;
+j0eval[1]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1597=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1597.valid){
+continue;
+}
+CheckValue<IkReal> x1598=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1598.valid){
+continue;
+}
+if( IKabs((gconst38*(x1597.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst38*(x1598.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((gconst38*(x1597.value)))+IKsqr(((-1.0)*gconst38*(x1598.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((gconst38*(x1597.value)), ((-1.0)*gconst38*(x1598.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1599=IKcos(j0);
+IkReal x1600=IKsin(j0);
+IkReal x1601=(gconst38*x1600);
+IkReal x1602=(gconst38*x1599);
+evalcond[0]=(new_r11*x1600);
+evalcond[1]=((-1.0)*new_r10*x1599);
+evalcond[2]=((-1.0)*x1602);
+evalcond[3]=((-1.0)*x1601);
+evalcond[4]=(((new_r11*x1599))+gconst38);
+evalcond[5]=(x1602+new_r11);
+evalcond[6]=((((-1.0)*x1601))+new_r10);
+evalcond[7]=(((new_r10*x1600))+(((-1.0)*gconst38)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1603=IKPowWithIntegerCheck(gconst38,-1);
+if(!x1603.valid){
+continue;
+}
+CheckValue<IkReal> x1604=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1604.valid){
+continue;
+}
+if( IKabs((new_r10*(x1603.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst38*(x1604.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r10*(x1603.value)))+IKsqr(((-1.0)*gconst38*(x1604.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((new_r10*(x1603.value)), ((-1.0)*gconst38*(x1604.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1605=IKcos(j0);
+IkReal x1606=IKsin(j0);
+IkReal x1607=(gconst38*x1606);
+IkReal x1608=(gconst38*x1605);
+evalcond[0]=(new_r11*x1606);
+evalcond[1]=((-1.0)*new_r10*x1605);
+evalcond[2]=((-1.0)*x1608);
+evalcond[3]=((-1.0)*x1607);
+evalcond[4]=(gconst38+((new_r11*x1605)));
+evalcond[5]=(x1608+new_r11);
+evalcond[6]=((((-1.0)*x1607))+new_r10);
+evalcond[7]=(((new_r10*x1606))+(((-1.0)*gconst38)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1609 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1609.valid){
+continue;
+}
+CheckValue<IkReal> x1610=IKPowWithIntegerCheck(IKsign(gconst38),-1);
+if(!x1610.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1609.value)+(((1.5707963267949)*(x1610.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1611=IKcos(j0);
+IkReal x1612=IKsin(j0);
+IkReal x1613=(gconst38*x1612);
+IkReal x1614=(gconst38*x1611);
+evalcond[0]=(new_r11*x1612);
+evalcond[1]=((-1.0)*new_r10*x1611);
+evalcond[2]=((-1.0)*x1614);
+evalcond[3]=((-1.0)*x1613);
+evalcond[4]=(((new_r11*x1611))+gconst38);
+evalcond[5]=(x1614+new_r11);
+evalcond[6]=((((-1.0)*x1613))+new_r10);
+evalcond[7]=(((new_r10*x1612))+(((-1.0)*gconst38)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1615 = IKatan2WithCheck(IkReal((((gconst38*new_r00))+((gconst38*new_r11)))),IkReal(((((-1.0)*gconst38*new_r10))+((gconst38*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1615.valid){
+continue;
+}
+CheckValue<IkReal> x1616=IKPowWithIntegerCheck(IKsign((((new_r10*new_r11))+((new_r00*new_r01)))),-1);
+if(!x1616.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1615.value)+(((1.5707963267949)*(x1616.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1617=IKsin(j0);
+IkReal x1618=IKcos(j0);
+IkReal x1619=((1.0)*gconst39);
+IkReal x1620=((1.0)*gconst38);
+IkReal x1621=((1.0)*x1618);
+IkReal x1622=(((x1617*x1620))+((x1618*x1619)));
+evalcond[0]=(((new_r11*x1618))+(((-1.0)*new_r01*x1617))+gconst38);
+evalcond[1]=((((-1.0)*new_r10*x1621))+gconst39+((new_r00*x1617)));
+evalcond[2]=(((gconst39*x1617))+new_r00+(((-1.0)*x1618*x1620)));
+evalcond[3]=(((gconst38*x1618))+(((-1.0)*x1617*x1619))+new_r11);
+evalcond[4]=(((new_r10*x1617))+(((-1.0)*x1620))+((new_r00*x1618)));
+evalcond[5]=(((new_r11*x1617))+(((-1.0)*x1619))+((new_r01*x1618)));
+evalcond[6]=((((-1.0)*x1622))+new_r01);
+evalcond[7]=((((-1.0)*x1622))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1623=IKPowWithIntegerCheck(IKsign(((((-1.0)*gconst38*new_r00))+((gconst39*new_r10)))),-1);
+if(!x1623.valid){
+continue;
+}
+CheckValue<IkReal> x1624 = IKatan2WithCheck(IkReal((((new_r10*new_r11))+((gconst38*gconst39)))),IkReal((((new_r00*new_r11))+(gconst39*gconst39))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1624.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1623.value)))+(x1624.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1625=IKsin(j0);
+IkReal x1626=IKcos(j0);
+IkReal x1627=((1.0)*gconst39);
+IkReal x1628=((1.0)*gconst38);
+IkReal x1629=((1.0)*x1626);
+IkReal x1630=(((x1626*x1627))+((x1625*x1628)));
+evalcond[0]=(((new_r11*x1626))+(((-1.0)*new_r01*x1625))+gconst38);
+evalcond[1]=((((-1.0)*new_r10*x1629))+gconst39+((new_r00*x1625)));
+evalcond[2]=(((gconst39*x1625))+new_r00+(((-1.0)*x1626*x1628)));
+evalcond[3]=(((gconst38*x1626))+(((-1.0)*x1625*x1627))+new_r11);
+evalcond[4]=(((new_r10*x1625))+(((-1.0)*x1628))+((new_r00*x1626)));
+evalcond[5]=(((new_r11*x1625))+((new_r01*x1626))+(((-1.0)*x1627)));
+evalcond[6]=((((-1.0)*x1630))+new_r01);
+evalcond[7]=((((-1.0)*x1630))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1631 = IKatan2WithCheck(IkReal((((gconst39*new_r11))+((gconst38*new_r10)))),IkReal((((gconst39*new_r01))+((gconst38*new_r00)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1631.valid){
+continue;
+}
+CheckValue<IkReal> x1632=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x1632.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1631.value)+(((1.5707963267949)*(x1632.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1633=IKsin(j0);
+IkReal x1634=IKcos(j0);
+IkReal x1635=((1.0)*gconst39);
+IkReal x1636=((1.0)*gconst38);
+IkReal x1637=((1.0)*x1634);
+IkReal x1638=(((x1634*x1635))+((x1633*x1636)));
+evalcond[0]=(((new_r11*x1634))+gconst38+(((-1.0)*new_r01*x1633)));
+evalcond[1]=(gconst39+((new_r00*x1633))+(((-1.0)*new_r10*x1637)));
+evalcond[2]=((((-1.0)*x1634*x1636))+((gconst39*x1633))+new_r00);
+evalcond[3]=((((-1.0)*x1633*x1635))+((gconst38*x1634))+new_r11);
+evalcond[4]=(((new_r10*x1633))+(((-1.0)*x1636))+((new_r00*x1634)));
+evalcond[5]=(((new_r11*x1633))+(((-1.0)*x1635))+((new_r01*x1634)));
+evalcond[6]=((((-1.0)*x1638))+new_r01);
+evalcond[7]=((((-1.0)*x1638))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+j0eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1640 = IKatan2WithCheck(IkReal(new_r00),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x1640.valid){
+continue;
+}
+IkReal x1639=x1640.value;
+j0array[0]=((-1.0)*x1639);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x1639)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[1];
+evalcond[0]=(((new_r00*(IKsin(j0))))+(((-1.0)*new_r10*(IKcos(j0)))));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j0eval[0]=new_r00;
+j0eval[1]=((IKabs(cj2))+(IKabs(sj2)));
+j0eval[2]=IKsign(new_r00);
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j0eval[0]=new_r01;
+j0eval[1]=new_r00;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j0eval[0]=new_r00;
+j0eval[1]=sj2;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j2))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+if( IKabs(((-1.0)*new_r00)) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r01) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r00))+IKsqr(new_r01)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(((-1.0)*new_r00), new_r01);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1641=IKsin(j0);
+IkReal x1642=IKcos(j0);
+IkReal x1643=((-1.0)*x1641);
+evalcond[0]=(new_r00*x1642);
+evalcond[1]=(x1641+new_r00);
+evalcond[2]=x1643;
+evalcond[3]=((-1.0)*x1642);
+evalcond[4]=(new_r01*x1643);
+evalcond[5]=((1.0)+((new_r00*x1641)));
+evalcond[6]=((-1.0)+((new_r01*x1642)));
+evalcond[7]=((((-1.0)*x1642))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j2)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+if( IKabs(new_r00) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r00)+IKsqr(((-1.0)*new_r01))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2(new_r00, ((-1.0)*new_r01));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1644=IKcos(j0);
+IkReal x1645=IKsin(j0);
+evalcond[0]=x1645;
+evalcond[1]=x1644;
+evalcond[2]=(new_r00*x1644);
+evalcond[3]=(x1644+new_r01);
+evalcond[4]=((-1.0)*new_r01*x1645);
+evalcond[5]=((-1.0)+((new_r00*x1645)));
+evalcond[6]=((1.0)+((new_r01*x1644)));
+evalcond[7]=((((-1.0)*x1645))+new_r00);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1648=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1648.valid){
+continue;
+}
+IkReal x1646=x1648.value;
+IkReal x1647=((-1.0)*x1646);
+CheckValue<IkReal> x1649=IKPowWithIntegerCheck(sj2,-1);
+if(!x1649.valid){
+continue;
+}
+if( IKabs((cj2*x1647)) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1647*(cj2*cj2)*(x1649.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((cj2*x1647))+IKsqr((x1647*(cj2*cj2)*(x1649.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((cj2*x1647), (x1647*(cj2*cj2)*(x1649.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1650=IKsin(j0);
+IkReal x1651=IKcos(j0);
+IkReal x1652=((1.0)*sj2);
+IkReal x1653=((1.0)*cj2);
+IkReal x1654=(cj2*x1650);
+IkReal x1655=(((x1650*x1652))+((x1651*x1653)));
+evalcond[0]=(cj2+((new_r00*x1650)));
+evalcond[1]=(sj2+(((-1.0)*new_r01*x1650)));
+evalcond[2]=((((-1.0)*x1652))+((new_r00*x1651)));
+evalcond[3]=((((-1.0)*x1653))+((new_r01*x1651)));
+evalcond[4]=((((-1.0)*x1650*x1653))+((sj2*x1651)));
+evalcond[5]=(x1654+new_r00+(((-1.0)*x1651*x1652)));
+evalcond[6]=((-1.0)*x1655);
+evalcond[7]=((((-1.0)*x1655))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1656=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1656.valid){
+continue;
+}
+CheckValue<IkReal> x1657=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1657.valid){
+continue;
+}
+if( IKabs((sj2*(x1656.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs((sj2*(x1657.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((sj2*(x1656.value)))+IKsqr((sj2*(x1657.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((sj2*(x1656.value)), (sj2*(x1657.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1658=IKsin(j0);
+IkReal x1659=IKcos(j0);
+IkReal x1660=((1.0)*sj2);
+IkReal x1661=((1.0)*cj2);
+IkReal x1662=(cj2*x1658);
+IkReal x1663=(((x1658*x1660))+((x1659*x1661)));
+evalcond[0]=(cj2+((new_r00*x1658)));
+evalcond[1]=(sj2+(((-1.0)*new_r01*x1658)));
+evalcond[2]=(((new_r00*x1659))+(((-1.0)*x1660)));
+evalcond[3]=((((-1.0)*x1661))+((new_r01*x1659)));
+evalcond[4]=(((sj2*x1659))+(((-1.0)*x1658*x1661)));
+evalcond[5]=(x1662+new_r00+(((-1.0)*x1659*x1660)));
+evalcond[6]=((-1.0)*x1663);
+evalcond[7]=((((-1.0)*x1663))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1664=IKPowWithIntegerCheck(IKsign(new_r00),-1);
+if(!x1664.valid){
+continue;
+}
+CheckValue<IkReal> x1665 = IKatan2WithCheck(IkReal(((-1.0)*cj2)),IkReal(sj2),IKFAST_ATAN2_MAGTHRESH);
+if(!x1665.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1664.value)))+(x1665.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1666=IKsin(j0);
+IkReal x1667=IKcos(j0);
+IkReal x1668=((1.0)*sj2);
+IkReal x1669=((1.0)*cj2);
+IkReal x1670=(cj2*x1666);
+IkReal x1671=(((x1667*x1669))+((x1666*x1668)));
+evalcond[0]=(cj2+((new_r00*x1666)));
+evalcond[1]=(sj2+(((-1.0)*new_r01*x1666)));
+evalcond[2]=((((-1.0)*x1668))+((new_r00*x1667)));
+evalcond[3]=(((new_r01*x1667))+(((-1.0)*x1669)));
+evalcond[4]=(((sj2*x1667))+(((-1.0)*x1666*x1669)));
+evalcond[5]=(x1670+(((-1.0)*x1667*x1668))+new_r00);
+evalcond[6]=((-1.0)*x1671);
+evalcond[7]=(new_r01+(((-1.0)*x1671)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[3];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j0eval[0]=new_r10;
+j0eval[1]=IKsign(new_r10);
+j0eval[2]=((IKabs(cj2))+(IKabs(sj2)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[3];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j0eval[0]=new_r11;
+j0eval[1]=IKsign(new_r11);
+j0eval[2]=((IKabs(cj2))+(IKabs(sj2)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 || IKabs(j0eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[2];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j0eval[0]=new_r10;
+j0eval[1]=new_r11;
+if( IKabs(j0eval[0]) < 0.0000010000000000 || IKabs(j0eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1672=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1672.valid){
+continue;
+}
+CheckValue<IkReal> x1673=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1673.valid){
+continue;
+}
+if( IKabs((sj2*(x1672.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*sj2*(x1673.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((sj2*(x1672.value)))+IKsqr(((-1.0)*sj2*(x1673.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((sj2*(x1672.value)), ((-1.0)*sj2*(x1673.value)));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1674=IKcos(j0);
+IkReal x1675=IKsin(j0);
+IkReal x1676=((1.0)*sj2);
+IkReal x1677=(sj2*x1674);
+IkReal x1678=((1.0)*x1674);
+IkReal x1679=(cj2*x1675);
+IkReal x1680=(((x1675*x1676))+((cj2*x1678)));
+evalcond[0]=(sj2+((new_r11*x1674)));
+evalcond[1]=(cj2+(((-1.0)*new_r10*x1678)));
+evalcond[2]=(((new_r10*x1675))+(((-1.0)*x1676)));
+evalcond[3]=(((new_r11*x1675))+(((-1.0)*cj2)));
+evalcond[4]=(x1679+(((-1.0)*x1674*x1676)));
+evalcond[5]=(x1677+(((-1.0)*x1679))+new_r11);
+evalcond[6]=((-1.0)*x1680);
+evalcond[7]=((((-1.0)*x1680))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1681=IKPowWithIntegerCheck(IKsign(new_r11),-1);
+if(!x1681.valid){
+continue;
+}
+CheckValue<IkReal> x1682 = IKatan2WithCheck(IkReal(cj2),IkReal(((-1.0)*sj2)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1682.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1681.value)))+(x1682.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1683=IKcos(j0);
+IkReal x1684=IKsin(j0);
+IkReal x1685=((1.0)*sj2);
+IkReal x1686=(sj2*x1683);
+IkReal x1687=((1.0)*x1683);
+IkReal x1688=(cj2*x1684);
+IkReal x1689=(((x1684*x1685))+((cj2*x1687)));
+evalcond[0]=(sj2+((new_r11*x1683)));
+evalcond[1]=(cj2+(((-1.0)*new_r10*x1687)));
+evalcond[2]=((((-1.0)*x1685))+((new_r10*x1684)));
+evalcond[3]=(((new_r11*x1684))+(((-1.0)*cj2)));
+evalcond[4]=(x1688+(((-1.0)*x1683*x1685)));
+evalcond[5]=(x1686+(((-1.0)*x1688))+new_r11);
+evalcond[6]=((-1.0)*x1689);
+evalcond[7]=((((-1.0)*x1689))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1690=IKPowWithIntegerCheck(IKsign(new_r10),-1);
+if(!x1690.valid){
+continue;
+}
+CheckValue<IkReal> x1691 = IKatan2WithCheck(IkReal(sj2),IkReal(cj2),IKFAST_ATAN2_MAGTHRESH);
+if(!x1691.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1690.value)))+(x1691.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1692=IKcos(j0);
+IkReal x1693=IKsin(j0);
+IkReal x1694=((1.0)*sj2);
+IkReal x1695=(sj2*x1692);
+IkReal x1696=((1.0)*x1692);
+IkReal x1697=(cj2*x1693);
+IkReal x1698=(((x1693*x1694))+((cj2*x1696)));
+evalcond[0]=(sj2+((new_r11*x1692)));
+evalcond[1]=(cj2+(((-1.0)*new_r10*x1696)));
+evalcond[2]=((((-1.0)*x1694))+((new_r10*x1693)));
+evalcond[3]=(((new_r11*x1693))+(((-1.0)*cj2)));
+evalcond[4]=((((-1.0)*x1692*x1694))+x1697);
+evalcond[5]=(x1695+(((-1.0)*x1697))+new_r11);
+evalcond[6]=((-1.0)*x1698);
+evalcond[7]=((((-1.0)*x1698))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+sj1=-1.0;
+cj1=0;
+j1=-1.5707963267949;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1700 = IKatan2WithCheck(IkReal(new_r01),IkReal(new_r11),IKFAST_ATAN2_MAGTHRESH);
+if(!x1700.valid){
+continue;
+}
+IkReal x1699=x1700.value;
+j0array[0]=((-1.0)*x1699);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x1699)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[1];
+evalcond[0]=(((new_r11*(IKcos(j0))))+(((-1.0)*new_r01*(IKsin(j0)))));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x1701=((1.0)*new_r00);
+CheckValue<IkReal> x1702=IKPowWithIntegerCheck(IKsign(((((-1.0)*sj2*x1701))+((cj2*new_r10)))),-1);
+if(!x1702.valid){
+continue;
+}
+CheckValue<IkReal> x1703 = IKatan2WithCheck(IkReal((((cj2*sj2))+(((-1.0)*new_r10*x1701)))),IkReal(((cj2*cj2)+(((-1.0)*new_r00*x1701)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1703.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1702.value)))+(x1703.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1704=IKsin(j0);
+IkReal x1705=IKcos(j0);
+IkReal x1706=((1.0)*sj2);
+IkReal x1707=(sj2*x1705);
+IkReal x1708=((1.0)*x1705);
+IkReal x1709=(cj2*x1704);
+IkReal x1710=(((x1704*x1706))+((cj2*x1708)));
+evalcond[0]=(sj2+(((-1.0)*new_r01*x1704))+((new_r11*x1705)));
+evalcond[1]=(cj2+((new_r00*x1704))+(((-1.0)*new_r10*x1708)));
+evalcond[2]=(x1709+(((-1.0)*x1705*x1706))+new_r00);
+evalcond[3]=(x1707+(((-1.0)*x1709))+new_r11);
+evalcond[4]=(((new_r00*x1705))+(((-1.0)*x1706))+((new_r10*x1704)));
+evalcond[5]=(((new_r01*x1705))+((new_r11*x1704))+(((-1.0)*cj2)));
+evalcond[6]=((((-1.0)*x1710))+new_r01);
+evalcond[7]=((((-1.0)*x1710))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+IkReal x1711=((1.0)*sj2);
+CheckValue<IkReal> x1712 = IKatan2WithCheck(IkReal(((-1.0)+(cj2*cj2)+(new_r11*new_r11))),IkReal((((new_r01*new_r11))+(((-1.0)*cj2*x1711)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1712.valid){
+continue;
+}
+CheckValue<IkReal> x1713=IKPowWithIntegerCheck(IKsign((((cj2*new_r11))+(((-1.0)*new_r01*x1711)))),-1);
+if(!x1713.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1712.value)+(((1.5707963267949)*(x1713.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1714=IKsin(j0);
+IkReal x1715=IKcos(j0);
+IkReal x1716=((1.0)*sj2);
+IkReal x1717=(sj2*x1715);
+IkReal x1718=((1.0)*x1715);
+IkReal x1719=(cj2*x1714);
+IkReal x1720=(((x1714*x1716))+((cj2*x1718)));
+evalcond[0]=(((new_r11*x1715))+sj2+(((-1.0)*new_r01*x1714)));
+evalcond[1]=(cj2+((new_r00*x1714))+(((-1.0)*new_r10*x1718)));
+evalcond[2]=(x1719+(((-1.0)*x1715*x1716))+new_r00);
+evalcond[3]=(x1717+(((-1.0)*x1719))+new_r11);
+evalcond[4]=(((new_r10*x1714))+(((-1.0)*x1716))+((new_r00*x1715)));
+evalcond[5]=(((new_r11*x1714))+((new_r01*x1715))+(((-1.0)*cj2)));
+evalcond[6]=(new_r01+(((-1.0)*x1720)));
+evalcond[7]=(new_r10+(((-1.0)*x1720)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1721 = IKatan2WithCheck(IkReal((((new_r10*sj2))+((cj2*new_r11)))),IkReal((((new_r00*sj2))+((cj2*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1721.valid){
+continue;
+}
+CheckValue<IkReal> x1722=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x1722.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(x1721.value)+(((1.5707963267949)*(x1722.value))));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1723=IKsin(j0);
+IkReal x1724=IKcos(j0);
+IkReal x1725=((1.0)*sj2);
+IkReal x1726=(sj2*x1724);
+IkReal x1727=((1.0)*x1724);
+IkReal x1728=(cj2*x1723);
+IkReal x1729=(((x1723*x1725))+((cj2*x1727)));
+evalcond[0]=(sj2+((new_r11*x1724))+(((-1.0)*new_r01*x1723)));
+evalcond[1]=(cj2+(((-1.0)*new_r10*x1727))+((new_r00*x1723)));
+evalcond[2]=(x1728+(((-1.0)*x1724*x1725))+new_r00);
+evalcond[3]=(x1726+new_r11+(((-1.0)*x1728)));
+evalcond[4]=(((new_r10*x1723))+(((-1.0)*x1725))+((new_r00*x1724)));
+evalcond[5]=(((new_r11*x1723))+(((-1.0)*cj2))+((new_r01*x1724)));
+evalcond[6]=(new_r01+(((-1.0)*x1729)));
+evalcond[7]=(new_r10+(((-1.0)*x1729)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r12))+(IKabs(new_r02)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j0eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j0eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j0eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j0eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j0eval[0]=((IKabs((new_r10*new_r22)))+(IKabs((new_r00*new_r22))));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j0]
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+IkReal x1730=((-1.0)*new_r22);
+CheckValue<IkReal> x1732 = IKatan2WithCheck(IkReal((new_r00*x1730)),IkReal((new_r10*x1730)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1732.valid){
+continue;
+}
+IkReal x1731=x1732.value;
+j0array[0]=((-1.0)*x1731);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x1731)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[5];
+IkReal x1733=IKsin(j0);
+IkReal x1734=IKcos(j0);
+IkReal x1735=((1.0)*x1734);
+IkReal x1736=(new_r11*x1733);
+evalcond[0]=(((new_r10*x1733))+((new_r00*x1734)));
+evalcond[1]=(x1736+((new_r01*x1734)));
+evalcond[2]=(((new_r11*x1734))+(((-1.0)*new_r01*x1733)));
+evalcond[3]=((((-1.0)*new_r10*x1735))+((new_r00*x1733)));
+evalcond[4]=((((-1.0)*new_r22*x1736))+(((-1.0)*new_r01*new_r22*x1735)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1738 = IKatan2WithCheck(IkReal(new_r01),IkReal(new_r11),IKFAST_ATAN2_MAGTHRESH);
+if(!x1738.valid){
+continue;
+}
+IkReal x1737=x1738.value;
+j0array[0]=((-1.0)*x1737);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x1737)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[5];
+IkReal x1739=IKcos(j0);
+IkReal x1740=IKsin(j0);
+IkReal x1741=((1.0)*new_r22);
+IkReal x1742=(new_r10*x1740);
+IkReal x1743=(new_r00*x1739);
+evalcond[0]=(x1742+x1743);
+evalcond[1]=(((new_r11*x1739))+(((-1.0)*new_r01*x1740)));
+evalcond[2]=(((new_r00*x1740))+(((-1.0)*new_r10*x1739)));
+evalcond[3]=((((-1.0)*x1741*x1742))+(((-1.0)*x1741*x1743)));
+evalcond[4]=((((-1.0)*new_r11*x1740*x1741))+(((-1.0)*new_r01*x1739*x1741)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x1745 = IKatan2WithCheck(IkReal(new_r00),IkReal(new_r10),IKFAST_ATAN2_MAGTHRESH);
+if(!x1745.valid){
+continue;
+}
+IkReal x1744=x1745.value;
+j0array[0]=((-1.0)*x1744);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x1744)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[5];
+IkReal x1746=IKcos(j0);
+IkReal x1747=IKsin(j0);
+IkReal x1748=((1.0)*new_r10);
+IkReal x1749=((1.0)*new_r01);
+IkReal x1750=(new_r22*x1747);
+IkReal x1751=(new_r22*x1746);
+evalcond[0]=(((new_r01*x1746))+((new_r11*x1747)));
+evalcond[1]=((((-1.0)*x1747*x1749))+((new_r11*x1746)));
+evalcond[2]=((((-1.0)*x1746*x1748))+((new_r00*x1747)));
+evalcond[3]=((((-1.0)*x1748*x1750))+(((-1.0)*new_r00*x1751)));
+evalcond[4]=((((-1.0)*x1749*x1751))+(((-1.0)*new_r11*x1750)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j0]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1753=IKPowWithIntegerCheck(cj1,-1);
+if(!x1753.valid){
+continue;
+}
+IkReal x1752=x1753.value;
+CheckValue<IkReal> x1754=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1754.valid){
+continue;
+}
+if( IKabs((x1752*(x1754.value)*((((cj1*sj2))+((new_r02*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((new_r02*x1752)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x1752*(x1754.value)*((((cj1*sj2))+((new_r02*new_r11))))))+IKsqr((new_r02*x1752))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j0array[0]=IKatan2((x1752*(x1754.value)*((((cj1*sj2))+((new_r02*new_r11))))), (new_r02*x1752));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[18];
+IkReal x1755=IKcos(j0);
+IkReal x1756=IKsin(j0);
+IkReal x1757=(sj1*sj2);
+IkReal x1758=((1.0)*sj1);
+IkReal x1759=(cj2*sj1);
+IkReal x1760=((1.0)*cj1);
+IkReal x1761=((1.0)*cj2);
+IkReal x1762=(new_r10*x1756);
+IkReal x1763=(new_r01*x1755);
+IkReal x1764=(new_r00*x1755);
+IkReal x1765=((1.0)*x1756);
+IkReal x1766=(new_r11*x1756);
+IkReal x1767=(new_r12*x1756);
+IkReal x1768=(new_r02*x1755);
+evalcond[0]=((((-1.0)*x1755*x1760))+new_r02);
+evalcond[1]=((((-1.0)*x1756*x1760))+new_r12);
+evalcond[2]=((((-1.0)*new_r02*x1765))+((new_r12*x1755)));
+evalcond[3]=(sj2+(((-1.0)*new_r01*x1765))+((new_r11*x1755)));
+evalcond[4]=(cj2+((new_r00*x1756))+(((-1.0)*new_r10*x1755)));
+evalcond[5]=(((cj2*x1756))+new_r00+((x1755*x1757)));
+evalcond[6]=(((sj2*x1755))+new_r11+((x1756*x1759)));
+evalcond[7]=((((-1.0)*x1760))+x1768+x1767);
+evalcond[8]=(x1762+x1764+x1757);
+evalcond[9]=(x1763+x1766+x1759);
+evalcond[10]=((((-1.0)*sj2*x1765))+new_r01+((x1755*x1759)));
+evalcond[11]=((((-1.0)*x1755*x1761))+new_r10+((x1756*x1757)));
+evalcond[12]=(((new_r20*sj1))+((cj1*x1762))+((cj1*x1764)));
+evalcond[13]=(((new_r21*sj1))+((cj1*x1763))+((cj1*x1766)));
+evalcond[14]=((-1.0)+((new_r22*sj1))+((cj1*x1768))+((cj1*x1767)));
+evalcond[15]=(((cj1*new_r22))+(((-1.0)*x1758*x1767))+(((-1.0)*x1758*x1768)));
+evalcond[16]=((((-1.0)*sj2))+((cj1*new_r20))+(((-1.0)*x1758*x1764))+(((-1.0)*x1758*x1762)));
+evalcond[17]=((((-1.0)*x1761))+((cj1*new_r21))+(((-1.0)*x1758*x1763))+(((-1.0)*x1758*x1766)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1769=IKPowWithIntegerCheck(IKsign(cj1),-1);
+if(!x1769.valid){
+continue;
+}
+CheckValue<IkReal> x1770 = IKatan2WithCheck(IkReal(new_r12),IkReal(new_r02),IKFAST_ATAN2_MAGTHRESH);
+if(!x1770.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1769.value)))+(x1770.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[18];
+IkReal x1771=IKcos(j0);
+IkReal x1772=IKsin(j0);
+IkReal x1773=(sj1*sj2);
+IkReal x1774=((1.0)*sj1);
+IkReal x1775=(cj2*sj1);
+IkReal x1776=((1.0)*cj1);
+IkReal x1777=((1.0)*cj2);
+IkReal x1778=(new_r10*x1772);
+IkReal x1779=(new_r01*x1771);
+IkReal x1780=(new_r00*x1771);
+IkReal x1781=((1.0)*x1772);
+IkReal x1782=(new_r11*x1772);
+IkReal x1783=(new_r12*x1772);
+IkReal x1784=(new_r02*x1771);
+evalcond[0]=((((-1.0)*x1771*x1776))+new_r02);
+evalcond[1]=((((-1.0)*x1772*x1776))+new_r12);
+evalcond[2]=((((-1.0)*new_r02*x1781))+((new_r12*x1771)));
+evalcond[3]=(sj2+(((-1.0)*new_r01*x1781))+((new_r11*x1771)));
+evalcond[4]=(cj2+((new_r00*x1772))+(((-1.0)*new_r10*x1771)));
+evalcond[5]=(((x1771*x1773))+new_r00+((cj2*x1772)));
+evalcond[6]=(((sj2*x1771))+new_r11+((x1772*x1775)));
+evalcond[7]=(x1783+x1784+(((-1.0)*x1776)));
+evalcond[8]=(x1780+x1773+x1778);
+evalcond[9]=(x1782+x1775+x1779);
+evalcond[10]=(((x1771*x1775))+new_r01+(((-1.0)*sj2*x1781)));
+evalcond[11]=((((-1.0)*x1771*x1777))+new_r10+((x1772*x1773)));
+evalcond[12]=(((new_r20*sj1))+((cj1*x1780))+((cj1*x1778)));
+evalcond[13]=(((cj1*x1782))+((new_r21*sj1))+((cj1*x1779)));
+evalcond[14]=((-1.0)+((cj1*x1784))+((cj1*x1783))+((new_r22*sj1)));
+evalcond[15]=((((-1.0)*x1774*x1784))+(((-1.0)*x1774*x1783))+((cj1*new_r22)));
+evalcond[16]=((((-1.0)*sj2))+(((-1.0)*x1774*x1780))+((cj1*new_r20))+(((-1.0)*x1774*x1778)));
+evalcond[17]=((((-1.0)*x1774*x1782))+((cj1*new_r21))+(((-1.0)*x1777))+(((-1.0)*x1774*x1779)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j0array[1], cj0array[1], sj0array[1];
+bool j0valid[1]={false};
+_nj0 = 1;
+CheckValue<IkReal> x1785=IKPowWithIntegerCheck(IKsign(cj1),-1);
+if(!x1785.valid){
+continue;
+}
+CheckValue<IkReal> x1786 = IKatan2WithCheck(IkReal(new_r12),IkReal(new_r02),IKFAST_ATAN2_MAGTHRESH);
+if(!x1786.valid){
+continue;
+}
+j0array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1785.value)))+(x1786.value));
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+for(int ij0 = 0; ij0 < 1; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 1; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+{
+IkReal evalcond[8];
+IkReal x1787=IKcos(j0);
+IkReal x1788=IKsin(j0);
+IkReal x1789=(cj1*x1787);
+IkReal x1790=(cj1*x1788);
+IkReal x1791=((1.0)*x1788);
+IkReal x1792=(new_r02*x1787);
+evalcond[0]=((((-1.0)*x1789))+new_r02);
+evalcond[1]=((((-1.0)*x1790))+new_r12);
+evalcond[2]=(((new_r12*x1787))+(((-1.0)*new_r02*x1791)));
+evalcond[3]=(x1792+((new_r12*x1788))+(((-1.0)*cj1)));
+evalcond[4]=(((new_r20*sj1))+((new_r10*x1790))+((new_r00*x1789)));
+evalcond[5]=(((new_r11*x1790))+((new_r01*x1789))+((new_r21*sj1)));
+evalcond[6]=((-1.0)+((new_r12*x1790))+((new_r22*sj1))+((new_r02*x1789)));
+evalcond[7]=(((cj1*new_r22))+(((-1.0)*new_r12*sj1*x1791))+(((-1.0)*sj1*x1792)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j2eval[3];
+j2eval[0]=cj1;
+j2eval[1]=IKsign(cj1);
+j2eval[2]=((IKabs(new_r20))+(IKabs(new_r21)));
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 || IKabs(j2eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[2];
+j2eval[0]=cj1;
+j2eval[1]=sj0;
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j2eval[3];
+j2eval[0]=cj1;
+j2eval[1]=sj0;
+j2eval[2]=sj1;
+if( IKabs(j2eval[0]) < 0.0000010000000000 || IKabs(j2eval[1]) < 0.0000010000000000 || IKabs(j2eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+IkReal x1793=((1.0)*cj0);
+if( IKabs((((new_r01*sj0))+(((-1.0)*new_r00*x1793)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((((-1.0)*new_r01*x1793))+(((-1.0)*new_r00*sj0)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((new_r01*sj0))+(((-1.0)*new_r00*x1793))))+IKsqr(((((-1.0)*new_r01*x1793))+(((-1.0)*new_r00*sj0))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((((new_r01*sj0))+(((-1.0)*new_r00*x1793))), ((((-1.0)*new_r01*x1793))+(((-1.0)*new_r00*sj0))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x1794=IKsin(j2);
+IkReal x1795=IKcos(j2);
+IkReal x1796=((1.0)*cj0);
+IkReal x1797=(sj0*x1795);
+IkReal x1798=(cj0*x1794);
+IkReal x1799=(sj0*x1794);
+IkReal x1800=(x1798+x1797);
+evalcond[0]=(x1794+((new_r10*sj0))+((cj0*new_r00)));
+evalcond[1]=(x1795+((new_r11*sj0))+((cj0*new_r01)));
+evalcond[2]=((((-1.0)*new_r01*sj0))+x1794+((cj0*new_r11)));
+evalcond[3]=((((-1.0)*new_r10*x1796))+x1795+((new_r00*sj0)));
+evalcond[4]=(x1800+new_r00);
+evalcond[5]=(x1800+new_r11);
+evalcond[6]=((((-1.0)*x1799))+new_r01+((cj0*x1795)));
+evalcond[7]=((((-1.0)*x1795*x1796))+x1799+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs((((new_r01*sj0))+((cj0*new_r00)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj0*new_r01))+(((-1.0)*new_r00*sj0)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((new_r01*sj0))+((cj0*new_r00))))+IKsqr((((cj0*new_r01))+(((-1.0)*new_r00*sj0))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((((new_r01*sj0))+((cj0*new_r00))), (((cj0*new_r01))+(((-1.0)*new_r00*sj0))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x1801=IKsin(j2);
+IkReal x1802=IKcos(j2);
+IkReal x1803=((1.0)*sj0);
+IkReal x1804=((1.0)*cj0);
+IkReal x1805=((1.0)*x1802);
+IkReal x1806=(((x1802*x1804))+((x1801*x1803)));
+evalcond[0]=((((-1.0)*new_r01*x1803))+x1801+((cj0*new_r11)));
+evalcond[1]=(((new_r00*sj0))+x1802+(((-1.0)*new_r10*x1804)));
+evalcond[2]=(((new_r10*sj0))+((cj0*new_r00))+(((-1.0)*x1801)));
+evalcond[3]=(((new_r11*sj0))+(((-1.0)*x1805))+((cj0*new_r01)));
+evalcond[4]=(((sj0*x1802))+(((-1.0)*x1801*x1804))+new_r00);
+evalcond[5]=(((cj0*x1801))+(((-1.0)*x1802*x1803))+new_r11);
+evalcond[6]=((((-1.0)*x1806))+new_r01);
+evalcond[7]=((((-1.0)*x1806))+new_r10);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j0))), 6.28318530717959)));
+evalcond[1]=new_r12;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(((-1.0)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r10) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r11))+IKsqr(new_r10)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r11), new_r10);
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x1807=IKsin(j2);
+IkReal x1808=IKcos(j2);
+IkReal x1809=((1.0)*sj1);
+IkReal x1810=((1.0)*cj1);
+evalcond[0]=(x1807+new_r11);
+evalcond[1]=(x1808+(((-1.0)*new_r10)));
+evalcond[2]=(((sj1*x1807))+new_r00);
+evalcond[3]=(((sj1*x1808))+new_r01);
+evalcond[4]=((((-1.0)*x1807*x1810))+new_r20);
+evalcond[5]=((((-1.0)*x1808*x1810))+new_r21);
+evalcond[6]=(((cj1*new_r20))+(((-1.0)*new_r00*x1809))+(((-1.0)*x1807)));
+evalcond[7]=((((-1.0)*new_r01*x1809))+((cj1*new_r21))+(((-1.0)*x1808)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j0)))), 6.28318530717959)));
+evalcond[1]=new_r12;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(new_r11) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r11)+IKsqr(((-1.0)*new_r10))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(new_r11, ((-1.0)*new_r10));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x1811=IKsin(j2);
+IkReal x1812=IKcos(j2);
+IkReal x1813=((1.0)*cj1);
+evalcond[0]=(x1812+new_r10);
+evalcond[1]=(x1811+(((-1.0)*new_r11)));
+evalcond[2]=((((-1.0)*x1811*x1813))+new_r20);
+evalcond[3]=((((-1.0)*x1812*x1813))+new_r21);
+evalcond[4]=(((sj1*x1811))+(((-1.0)*new_r00)));
+evalcond[5]=(((sj1*x1812))+(((-1.0)*new_r01)));
+evalcond[6]=(((cj1*new_r20))+((new_r00*sj1))+(((-1.0)*x1811)));
+evalcond[7]=(((cj1*new_r21))+((new_r01*sj1))+(((-1.0)*x1812)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j1))), 6.28318530717959)));
+evalcond[1]=new_r22;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(new_r20) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r21) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r20)+IKsqr(new_r21)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(new_r20, new_r21);
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x1814=IKcos(j2);
+IkReal x1815=IKsin(j2);
+IkReal x1816=((1.0)*sj0);
+IkReal x1817=((1.0)*x1814);
+evalcond[0]=(new_r20+(((-1.0)*x1815)));
+evalcond[1]=((((-1.0)*x1817))+new_r21);
+evalcond[2]=(((sj0*x1814))+new_r00);
+evalcond[3]=(((cj0*x1815))+new_r11);
+evalcond[4]=((((-1.0)*x1815*x1816))+new_r01);
+evalcond[5]=((((-1.0)*new_r02*x1817))+new_r10);
+evalcond[6]=((((-1.0)*new_r01*x1816))+x1815+((cj0*new_r11)));
+evalcond[7]=((((-1.0)*cj0*new_r10))+((new_r00*sj0))+x1814);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j1)))), 6.28318530717959)));
+evalcond[1]=new_r22;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+if( IKabs(((-1.0)*new_r20)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r21)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r20))+IKsqr(((-1.0)*new_r21))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2(((-1.0)*new_r20), ((-1.0)*new_r21));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[8];
+IkReal x1818=IKcos(j2);
+IkReal x1819=IKsin(j2);
+IkReal x1820=((1.0)*sj0);
+evalcond[0]=(x1819+new_r20);
+evalcond[1]=(x1818+new_r21);
+evalcond[2]=(((sj0*x1818))+new_r00);
+evalcond[3]=(((cj0*x1819))+new_r11);
+evalcond[4]=(((new_r02*x1818))+new_r10);
+evalcond[5]=((((-1.0)*x1819*x1820))+new_r01);
+evalcond[6]=((((-1.0)*new_r01*x1820))+x1819+((cj0*new_r11)));
+evalcond[7]=((((-1.0)*cj0*new_r10))+((new_r00*sj0))+x1818);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r20))+(IKabs(new_r21)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j2eval[1];
+new_r21=0;
+new_r20=0;
+new_r02=0;
+new_r12=0;
+j2eval[0]=IKabs(new_r22);
+if( IKabs(j2eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j2]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+op[0]=((-1.0)*new_r22);
+op[1]=0;
+op[2]=new_r22;
+polyroots2(op,zeror,numroots);
+IkReal j2array[2], cj2array[2], sj2array[2], tempj2array[1];
+int numsolutions = 0;
+for(int ij2 = 0; ij2 < numroots; ++ij2)
+{
+IkReal htj2 = zeror[ij2];
+tempj2array[0]=((2.0)*(atan(htj2)));
+for(int kj2 = 0; kj2 < 1; ++kj2)
+{
+j2array[numsolutions] = tempj2array[kj2];
+if( j2array[numsolutions] > IKPI )
+{
+ j2array[numsolutions]-=IK2PI;
+}
+else if( j2array[numsolutions] < -IKPI )
+{
+ j2array[numsolutions]+=IK2PI;
+}
+sj2array[numsolutions] = IKsin(j2array[numsolutions]);
+cj2array[numsolutions] = IKcos(j2array[numsolutions]);
+numsolutions++;
+}
+}
+bool j2valid[2]={true,true};
+_nj2 = 2;
+for(int ij2 = 0; ij2 < numsolutions; ++ij2)
+ {
+if( !j2valid[ij2] )
+{
+ continue;
+}
+ j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+htj2 = IKtan(j2/2);
+
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < numsolutions; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j2]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x1822=IKPowWithIntegerCheck(cj1,-1);
+if(!x1822.valid){
+continue;
+}
+IkReal x1821=x1822.value;
+CheckValue<IkReal> x1823=IKPowWithIntegerCheck(sj0,-1);
+if(!x1823.valid){
+continue;
+}
+CheckValue<IkReal> x1824=IKPowWithIntegerCheck(sj1,-1);
+if(!x1824.valid){
+continue;
+}
+if( IKabs((new_r20*x1821)) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1821*(x1823.value)*(x1824.value)*(((((-1.0)*cj0*new_r20))+(((-1.0)*cj1*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r20*x1821))+IKsqr((x1821*(x1823.value)*(x1824.value)*(((((-1.0)*cj0*new_r20))+(((-1.0)*cj1*new_r11))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((new_r20*x1821), (x1821*(x1823.value)*(x1824.value)*(((((-1.0)*cj0*new_r20))+(((-1.0)*cj1*new_r11))))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[12];
+IkReal x1825=IKsin(j2);
+IkReal x1826=IKcos(j2);
+IkReal x1827=((1.0)*sj0);
+IkReal x1828=(cj0*new_r00);
+IkReal x1829=((1.0)*cj0);
+IkReal x1830=((1.0)*x1826);
+IkReal x1831=(sj1*x1825);
+IkReal x1832=(sj1*x1826);
+IkReal x1833=((1.0)*x1825);
+evalcond[0]=(new_r20+(((-1.0)*cj1*x1833)));
+evalcond[1]=(new_r21+(((-1.0)*cj1*x1830)));
+evalcond[2]=((((-1.0)*new_r01*x1827))+x1825+((cj0*new_r11)));
+evalcond[3]=((((-1.0)*new_r10*x1829))+((new_r00*sj0))+x1826);
+evalcond[4]=(((new_r10*sj0))+x1828+x1831);
+evalcond[5]=(((new_r11*sj0))+x1832+((cj0*new_r01)));
+evalcond[6]=(((cj0*x1831))+((sj0*x1826))+new_r00);
+evalcond[7]=(((cj0*x1825))+((sj0*x1832))+new_r11);
+evalcond[8]=(((cj0*x1832))+(((-1.0)*x1825*x1827))+new_r01);
+evalcond[9]=(((sj0*x1831))+(((-1.0)*x1826*x1829))+new_r10);
+evalcond[10]=(((cj1*new_r20))+(((-1.0)*x1833))+(((-1.0)*sj1*x1828))+(((-1.0)*new_r10*sj1*x1827)));
+evalcond[11]=(((cj1*new_r21))+(((-1.0)*new_r11*sj1*x1827))+(((-1.0)*x1830))+(((-1.0)*new_r01*sj1*x1829)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x1835=IKPowWithIntegerCheck(cj1,-1);
+if(!x1835.valid){
+continue;
+}
+IkReal x1834=x1835.value;
+CheckValue<IkReal> x1836=IKPowWithIntegerCheck(sj0,-1);
+if(!x1836.valid){
+continue;
+}
+if( IKabs((new_r20*x1834)) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1834*(x1836.value)*(((((-1.0)*cj0*new_r20*sj1))+(((-1.0)*cj1*new_r00)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r20*x1834))+IKsqr((x1834*(x1836.value)*(((((-1.0)*cj0*new_r20*sj1))+(((-1.0)*cj1*new_r00))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j2array[0]=IKatan2((new_r20*x1834), (x1834*(x1836.value)*(((((-1.0)*cj0*new_r20*sj1))+(((-1.0)*cj1*new_r00))))));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[12];
+IkReal x1837=IKsin(j2);
+IkReal x1838=IKcos(j2);
+IkReal x1839=((1.0)*sj0);
+IkReal x1840=(cj0*new_r00);
+IkReal x1841=((1.0)*cj0);
+IkReal x1842=((1.0)*x1838);
+IkReal x1843=(sj1*x1837);
+IkReal x1844=(sj1*x1838);
+IkReal x1845=((1.0)*x1837);
+evalcond[0]=((((-1.0)*cj1*x1845))+new_r20);
+evalcond[1]=((((-1.0)*cj1*x1842))+new_r21);
+evalcond[2]=((((-1.0)*new_r01*x1839))+x1837+((cj0*new_r11)));
+evalcond[3]=((((-1.0)*new_r10*x1841))+((new_r00*sj0))+x1838);
+evalcond[4]=(((new_r10*sj0))+x1843+x1840);
+evalcond[5]=(((new_r11*sj0))+x1844+((cj0*new_r01)));
+evalcond[6]=(((cj0*x1843))+((sj0*x1838))+new_r00);
+evalcond[7]=(((cj0*x1837))+((sj0*x1844))+new_r11);
+evalcond[8]=(((cj0*x1844))+(((-1.0)*x1837*x1839))+new_r01);
+evalcond[9]=(((sj0*x1843))+new_r10+(((-1.0)*x1838*x1841)));
+evalcond[10]=((((-1.0)*x1845))+((cj1*new_r20))+(((-1.0)*new_r10*sj1*x1839))+(((-1.0)*sj1*x1840)));
+evalcond[11]=((((-1.0)*new_r11*sj1*x1839))+(((-1.0)*new_r01*sj1*x1841))+(((-1.0)*x1842))+((cj1*new_r21)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j2array[1], cj2array[1], sj2array[1];
+bool j2valid[1]={false};
+_nj2 = 1;
+CheckValue<IkReal> x1846=IKPowWithIntegerCheck(IKsign(cj1),-1);
+if(!x1846.valid){
+continue;
+}
+CheckValue<IkReal> x1847 = IKatan2WithCheck(IkReal(new_r20),IkReal(new_r21),IKFAST_ATAN2_MAGTHRESH);
+if(!x1847.valid){
+continue;
+}
+j2array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1846.value)))+(x1847.value));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+for(int ij2 = 0; ij2 < 1; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 1; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+{
+IkReal evalcond[12];
+IkReal x1848=IKsin(j2);
+IkReal x1849=IKcos(j2);
+IkReal x1850=((1.0)*sj0);
+IkReal x1851=(cj0*new_r00);
+IkReal x1852=((1.0)*cj0);
+IkReal x1853=((1.0)*x1849);
+IkReal x1854=(sj1*x1848);
+IkReal x1855=(sj1*x1849);
+IkReal x1856=((1.0)*x1848);
+evalcond[0]=(new_r20+(((-1.0)*cj1*x1856)));
+evalcond[1]=(new_r21+(((-1.0)*cj1*x1853)));
+evalcond[2]=(x1848+(((-1.0)*new_r01*x1850))+((cj0*new_r11)));
+evalcond[3]=(((new_r00*sj0))+(((-1.0)*new_r10*x1852))+x1849);
+evalcond[4]=(((new_r10*sj0))+x1851+x1854);
+evalcond[5]=(((new_r11*sj0))+x1855+((cj0*new_r01)));
+evalcond[6]=(((sj0*x1849))+new_r00+((cj0*x1854)));
+evalcond[7]=(((cj0*x1848))+((sj0*x1855))+new_r11);
+evalcond[8]=((((-1.0)*x1848*x1850))+new_r01+((cj0*x1855)));
+evalcond[9]=((((-1.0)*x1849*x1852))+((sj0*x1854))+new_r10);
+evalcond[10]=((((-1.0)*sj1*x1851))+((cj1*new_r20))+(((-1.0)*new_r10*sj1*x1850))+(((-1.0)*x1856)));
+evalcond[11]=(((cj1*new_r21))+(((-1.0)*new_r11*sj1*x1850))+(((-1.0)*new_r01*sj1*x1852))+(((-1.0)*x1853)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+}
+}
+
+}
+
+}
+}
+}
+}
+}static inline void polyroots3(IkReal rawcoeffs[3+1], IkReal rawroots[3], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots2(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[3];
+ const int maxsteps = 110;
+ for(int i = 0; i < 3; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[3];
+ IkReal err[3];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 3; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 3; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 3; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 3; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[3] = {false};
+ for(int i = 0; i < 3; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 3; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+static inline void polyroots2(IkReal rawcoeffs[2+1], IkReal rawroots[2], int& numroots) {
+ IkReal det = rawcoeffs[1]*rawcoeffs[1]-4*rawcoeffs[0]*rawcoeffs[2];
+ if( det < 0 ) {
+ numroots=0;
+ }
+ else if( det == 0 ) {
+ rawroots[0] = -0.5*rawcoeffs[1]/rawcoeffs[0];
+ numroots = 1;
+ }
+ else {
+ det = IKsqrt(det);
+ rawroots[0] = (-rawcoeffs[1]+det)/(2*rawcoeffs[0]);
+ rawroots[1] = (-rawcoeffs[1]-det)/(2*rawcoeffs[0]);//rawcoeffs[2]/(rawcoeffs[0]*rawroots[0]);
+ numroots = 2;
+ }
+}
+static inline void polyroots5(IkReal rawcoeffs[5+1], IkReal rawroots[5], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots4(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[5];
+ const int maxsteps = 110;
+ for(int i = 0; i < 5; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[5];
+ IkReal err[5];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 5; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 5; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 5; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 5; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[5] = {false};
+ for(int i = 0; i < 5; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 5; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+static inline void polyroots4(IkReal rawcoeffs[4+1], IkReal rawroots[4], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots3(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[4];
+ const int maxsteps = 110;
+ for(int i = 0; i < 4; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[4];
+ IkReal err[4];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 4; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 4; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 4; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 4; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[4] = {false};
+ for(int i = 0; i < 4; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 4; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+static inline void polyroots7(IkReal rawcoeffs[7+1], IkReal rawroots[7], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots6(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[7];
+ const int maxsteps = 110;
+ for(int i = 0; i < 7; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[7];
+ IkReal err[7];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 7; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 7; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 7; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 7; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[7] = {false};
+ for(int i = 0; i < 7; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 7; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+static inline void polyroots6(IkReal rawcoeffs[6+1], IkReal rawroots[6], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots5(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[6];
+ const int maxsteps = 110;
+ for(int i = 0; i < 6; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[6];
+ IkReal err[6];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 6; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 6; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 6; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 6; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[6] = {false};
+ for(int i = 0; i < 6; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 6; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+static inline void polyroots8(IkReal rawcoeffs[8+1], IkReal rawroots[8], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots7(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[8];
+ const int maxsteps = 110;
+ for(int i = 0; i < 8; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[8];
+ IkReal err[8];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 8; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 8; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 8; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 8; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[8] = {false};
+ for(int i = 0; i < 8; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 8; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+};
+
+
+/// solves the inverse kinematics equations.
+/// \param pfree is an array specifying the free joints of the chain.
+IKFAST_API bool ComputeIk(const IkReal* eetrans, const IkReal* eerot, const IkReal* pfree, IkSolutionListBase<IkReal>& solutions) {
+IKSolver solver;
+return solver.ComputeIk(eetrans,eerot,pfree,solutions);
+}
+
+IKFAST_API bool ComputeIk2(const IkReal* eetrans, const IkReal* eerot, const IkReal* pfree, IkSolutionListBase<IkReal>& solutions, void* pOpenRAVEManip) {
+IKSolver solver;
+return solver.ComputeIk(eetrans,eerot,pfree,solutions);
+}
+
+IKFAST_API const char* GetKinematicsHash() { return "<robot:GenericRobot - hya (58dbf1259c2cdf57f1e3d77f555c8c6b)>"; }
+
+IKFAST_API const char* GetIkFastVersion() { return "0x1000004a"; }
+
+#ifdef IKFAST_NAMESPACE
+} // end namespace
+#endif
+
+#ifndef IKFAST_NO_MAIN
+#include <stdio.h>
+#include <stdlib.h>
+#ifdef IKFAST_NAMESPACE
+using namespace IKFAST_NAMESPACE;
+#endif
+int main(int argc, char** argv)
+{
+ if( argc != 12+GetNumFreeParameters()+1 ) {
+ printf("\nUsage: ./ik r00 r01 r02 t0 r10 r11 r12 t1 r20 r21 r22 t2 free0 ...\n\n"
+ "Returns the ik solutions given the transformation of the end effector specified by\n"
+ "a 3x3 rotation R (rXX), and a 3x1 translation (tX).\n"
+ "There are %d free parameters that have to be specified.\n\n",GetNumFreeParameters());
+ return 1;
+ }
+
+ IkSolutionList<IkReal> solutions;
+ std::vector<IkReal> vfree(GetNumFreeParameters());
+ IkReal eerot[9],eetrans[3];
+ eerot[0] = atof(argv[1]); eerot[1] = atof(argv[2]); eerot[2] = atof(argv[3]); eetrans[0] = atof(argv[4]);
+ eerot[3] = atof(argv[5]); eerot[4] = atof(argv[6]); eerot[5] = atof(argv[7]); eetrans[1] = atof(argv[8]);
+ eerot[6] = atof(argv[9]); eerot[7] = atof(argv[10]); eerot[8] = atof(argv[11]); eetrans[2] = atof(argv[12]);
+ for(std::size_t i = 0; i < vfree.size(); ++i)
+ vfree[i] = atof(argv[13+i]);
+ bool bSuccess = ComputeIk(eetrans, eerot, vfree.size() > 0 ? &vfree[0] : NULL, solutions);
+
+ if( !bSuccess ) {
+ fprintf(stderr,"Failed to get ik solution\n");
+ return -1;
+ }
+
+ printf("Found %d ik solutions:\n", (int)solutions.GetNumSolutions());
+ std::vector<IkReal> solvalues(GetNumJoints());
+ for(std::size_t i = 0; i < solutions.GetNumSolutions(); ++i) {
+ const IkSolutionBase<IkReal>& sol = solutions.GetSolution(i);
+ printf("sol%d (free=%d): ", (int)i, (int)sol.GetFree().size());
+ std::vector<IkReal> vsolfree(sol.GetFree().size());
+ sol.GetSolution(&solvalues[0],vsolfree.size()>0?&vsolfree[0]:NULL);
+ for( std::size_t j = 0; j < solvalues.size(); ++j)
+ printf("%.15f, ", solvalues[j]);
+ printf("\n");
+ }
+ return 0;
+}
+
+#endif
diff --git a/ct_models/src/HyQ/codegen/HyQLinearizationCodgen.cpp b/ct_models/src/HyQ/codegen/HyQLinearizationCodgen.cpp
new file mode 100644
index 0000000..3e27019
--- /dev/null
+++ b/ct_models/src/HyQ/codegen/HyQLinearizationCodgen.cpp
@@ -0,0 +1,154 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/optcon/optcon.h>
+#include <ct/rbd/rbd.h>
+#include <ct/models/HyQ/HyQ.h>
+#include <ct/models/CodegenOutputDirs.h>
+
+#include "helperFunctions.h"
+
+// shortcut for the auto-diff codegen scalar
+typedef CppAD::AD<CppAD::cg::CG<double>> SCALAR;
+typedef typename SCALAR::value_type AD_ValueType;
+
+// a floating base forward-dynamic system templated on scalar type
+typedef ct::rbd::FloatingBaseFDSystem<ct::rbd::HyQ::tpl::Dynamics<SCALAR>, false> HyQSystemAD;
+
+// extract dimensions
+const size_t state_dim = HyQSystemAD::STATE_DIM;
+const size_t control_dim = HyQSystemAD::CONTROL_DIM;
+
+// shortcut for number of joints
+const size_t njoints = HyQSystemAD::Kinematics::NJOINTS;
+
+
+void generateInverseDynamics()
+{
+ typedef ct::core::DerivativesCppadCG<state_dim + 18, control_dim + 6> JacCG;
+ typename JacCG::FUN_TYPE_CG f = ct::models::HyQ::hyqInverseDynamics<SCALAR>;
+ JacCG jacCG(f);
+
+ try
+ {
+ std::cout << "Generating Jacobian of Inverse Dynamics wrt state using forward mode... " << std::endl;
+ jacCG.generateJacobianSource("HyQInverseDynJacForward", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", JacCG::Sparsity::Ones(), false);
+
+ std::cout << "Generating Jacobian of Inverse Dynamics wrt state using reverse mode... " << std::endl;
+ jacCG.generateJacobianSource("HyQInverseDynJacReverse", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", JacCG::Sparsity::Ones(), true);
+ } catch (const std::runtime_error& e)
+ {
+ std::cout << "inverse dynamics code generation failed: " << e.what() << std::endl;
+ }
+}
+
+void generateForwardKinematics()
+{
+ typedef ct::core::DerivativesCppadCG<state_dim, 4 * 6> JacCG;
+ typename JacCG::FUN_TYPE_CG f = ct::models::HyQ::hyqForwardKinematics<SCALAR>;
+ JacCG jacCG(f);
+
+ try
+ {
+ std::cout << "Generating Jacobian of Forward Kinematics wrt state using forward mode... " << std::endl;
+ jacCG.generateJacobianSource("HyQForwardKinJacForward", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", JacCG::Sparsity::Ones(), false);
+
+ std::cout << "Generating Jacobian of Forward Kinematics wrt state using reverse mode... " << std::endl;
+ jacCG.generateJacobianSource("HyQForwardKinJacReverse", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", JacCG::Sparsity::Ones(), true);
+ } catch (const std::runtime_error& e)
+ {
+ std::cout << "forward kinematics code generation failed: " << e.what() << std::endl;
+ }
+}
+
+void generateForwardZeroForwardDynamics()
+{
+ typedef ct::core::DerivativesCppadCG<state_dim + control_dim + 1, state_dim> JacCG;
+ // Eigen::Matrix<SCALAR, state_dim + control_dim + 1, 1> testInput = Eigen::Matrix<SCALAR, state_dim + control_dim + 1, 1>::Random();
+ // auto asd = ct::models::HyQ::hyqContactModelForwardDynamics<SCALAR>(testInput);
+ typename JacCG::FUN_TYPE_CG f = ct::models::HyQ::hyqContactModelForwardDynamics<SCALAR>;
+ JacCG jacCG(f);
+
+ try
+ {
+ std::cout << "Generating Forward Zero Code... " << std::endl;
+ jacCG.generateForwardZeroSource("HyQForwardZero", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", false);
+ } catch (const std::runtime_error& e)
+ {
+ std::cout << "forward zero code generation failed: " << e.what() << std::endl;
+ }
+}
+
+
+void generateFDLinearization(int argc, char* argv[])
+{
+ std::cout << "Generating Jacobian of Forward Dynamics... " << std::endl;
+
+ // a contact model (auto-diff'able)
+ typedef ct::rbd::EEContactModel<typename HyQSystemAD::Kinematics> ContactModel;
+
+ std::shared_ptr<HyQSystemAD> adSystem = std::shared_ptr<HyQSystemAD>(new HyQSystemAD);
+
+ // explicitely pass kinematics from the system such that both, contact model and system use
+ // the same instance to give the AD codegen the opportunity to fully optimize the code
+ std::shared_ptr<ContactModel> contactModel =
+ std::shared_ptr<ContactModel>(new ContactModel(SCALAR(5000.0), SCALAR(1000.0), SCALAR(100.0), SCALAR(100.0),
+ SCALAR(-0.02), ContactModel::VELOCITY_SMOOTHING::SIGMOID, adSystem->dynamics().kinematicsPtr()));
+
+ bool useContactModel = (argc <= 2 || !std::string(argv[2]).compare("nocontact") == 0);
+ std::cout << std::boolalpha << "using contact model: " << useContactModel << std::endl;
+
+ // asign the contact model
+ if (useContactModel)
+ adSystem->setContactModel(contactModel);
+
+ // create the codegen linearizer
+ ct::core::ADCodegenLinearizer<state_dim, control_dim> adLinearizer(adSystem);
+
+ std::string baseName;
+ if (useContactModel)
+ baseName = "HyQWithContactModelLinearized";
+ else
+ baseName = "HyQBareModelLinearized";
+
+ try
+ {
+ std::cout << "generating code..." << std::endl;
+ if (argc > 1 && std::string(argv[1]).compare("reverse") == 0)
+ {
+ std::cout << "generating using reverse mode" << std::endl;
+
+ adLinearizer.generateCode(baseName + "Reverse", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", true);
+ }
+ else
+ {
+ std::cout << "generating using forward mode" << std::endl;
+
+ adLinearizer.generateCode(baseName + "Forward", ct::models::HYQ_CODEGEN_OUTPUT_DIR,
+ ct::core::CODEGEN_TEMPLATE_DIR, "models", "HyQ", false);
+ }
+
+ std::cout << "... done!" << std::endl;
+ } catch (const std::runtime_error& e)
+ {
+ std::cout << "forward dynamics code generation failed: " << e.what() << std::endl;
+ }
+}
+
+
+int main(int argc, char* argv[])
+{
+ generateFDLinearization(argc, argv);
+ generateInverseDynamics();
+ generateForwardKinematics();
+ generateForwardZeroForwardDynamics();
+}
diff --git a/ct_models/src/HyQ/codegen/compareForwardReverseFD.cpp b/ct_models/src/HyQ/codegen/compareForwardReverseFD.cpp
new file mode 100644
index 0000000..cc1452d
--- /dev/null
+++ b/ct_models/src/HyQ/codegen/compareForwardReverseFD.cpp
@@ -0,0 +1,232 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/rbd/rbd.h>
+
+#include <ct/models/HyQ/HyQ.h>
+#include <ct/models/HyQ/codegen/HyQWithContactModelLinearizedForward.h>
+#include <ct/models/HyQ/codegen/HyQWithContactModelLinearizedReverse.h>
+#include <ct/models/HyQ/codegen/HyQBareModelLinearizedForward.h>
+#include <ct/models/HyQ/codegen/HyQBareModelLinearizedReverse.h>
+
+using namespace ct::models::HyQ;
+
+void timing(bool useContactModel)
+{
+ std::cout << std::boolalpha << "Using contact model: " << useContactModel << std::endl;
+
+ typedef ct::rbd::FloatingBaseFDSystem<ct::rbd::HyQ::Dynamics, false> HyQSystem;
+ std::shared_ptr<HyQSystem> hyqSys = std::shared_ptr<HyQSystem>(new HyQSystem);
+
+ typedef ct::rbd::EEContactModel<typename HyQSystem::Kinematics> ContactModel;
+ std::shared_ptr<ContactModel> contactModel = std::shared_ptr<ContactModel>(new ContactModel(5000.0, 1000.0, 100.0,
+ 100.0, -0.02, ContactModel::VELOCITY_SMOOTHING::SIGMOID, hyqSys->dynamics().kinematicsPtr()));
+ if (useContactModel)
+ hyqSys->setContactModel(contactModel);
+
+ ct::rbd::RbdLinearizer<HyQSystem> linearizer(hyqSys);
+ ct::core::SystemLinearizer<HyQSystem::STATE_DIM, HyQSystem::CONTROL_DIM> sysLinearizer(hyqSys, false);
+
+ typedef std::shared_ptr<ct::core::LinearSystem<HyQSystem::STATE_DIM, HyQSystem::CONTROL_DIM>> LinModelPtr;
+ LinModelPtr linModelForward;
+ LinModelPtr linModelReverse;
+
+ if (useContactModel)
+ {
+ linModelForward = LinModelPtr(new HyQWithContactModelLinearizedForward);
+ linModelReverse = LinModelPtr(new HyQWithContactModelLinearizedReverse);
+ }
+ else
+ {
+ linModelForward = LinModelPtr(new HyQBareModelLinearizedForward);
+ linModelReverse = LinModelPtr(new HyQBareModelLinearizedReverse);
+ }
+
+ static const size_t nTests = 10000;
+
+ typedef typename HyQSystem::StateVector X;
+ typedef typename HyQSystem::ControlVector U;
+
+ typedef Eigen::Matrix<double, HyQSystem::STATE_DIM, HyQSystem::STATE_DIM> JacA;
+ typedef Eigen::Matrix<double, HyQSystem::STATE_DIM, HyQSystem::CONTROL_DIM> JacB;
+
+
+ std::vector<X, Eigen::aligned_allocator<X>> x(nTests);
+ std::vector<U, Eigen::aligned_allocator<U>> u(nTests);
+
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> forwardA(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> reverseA(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> rbdA(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> numDiffA(nTests);
+
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> forwardB(nTests);
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> reverseB(nTests);
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> rbdB(nTests);
+ std::vector<JacB, Eigen::aligned_allocator<JacB>> numDiffB(nTests);
+
+ std::cout << "input dim: " << HyQSystem::STATE_DIM + HyQSystem::CONTROL_DIM
+ << ", output dim A: " << HyQSystem::STATE_DIM << ", output dim B: " << HyQSystem::CONTROL_DIM
+ << std::endl;
+
+ std::cout << "running " << nTests << " tests" << std::endl;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x[i].setRandom();
+ u[i].setRandom();
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forwardA[i] = linModelForward->getDerivativeState(x[i], u[i]);
+ }
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ double msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "forwardA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverseA[i] = linModelReverse->getDerivativeState(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "reverseA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ rbdA[i] = linearizer.getDerivativeState(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "rbdA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ numDiffA[i] = sysLinearizer.getDerivativeState(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "numDiffA: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forwardB[i] = linModelForward->getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "forwardB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverseB[i] = linModelReverse->getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "reverseB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ rbdB[i] = linearizer.getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "rbdB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ numDiffB[i] = sysLinearizer.getDerivativeControl(x[i], u[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "numDiffB: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+
+ bool failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forwardA[i].isApprox(rbdA[i], 1e-5))
+ {
+ std::cout << "Forward A and RbdLinearizer A not similar" << std::endl;
+ std::cout << "forward A: " << std::endl << forwardA[i] << std::endl;
+ std::cout << "rbd A: " << std::endl << rbdA[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!reverseA[i].isApprox(rbdA[i], 1e-5))
+ {
+ std::cout << "Reverse A and RbdLinearizer A not similar" << std::endl;
+ std::cout << "reverse A: " << std::endl << reverseA[i] << std::endl;
+ std::cout << "rbd A: " << std::endl << rbdA[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!forwardA[i].isApprox(reverseA[i], 1e-12))
+ {
+ std::cout << "Forward A and reverse A not similar" << std::endl;
+ std::cout << "forward A: " << std::endl << forwardA[i] << std::endl;
+ std::cout << "reverse A: " << std::endl << reverseA[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (failed)
+ {
+ std::cout << "test failed, aborting" << std::endl;
+ break;
+ }
+ }
+
+ failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forwardB[i].isApprox(rbdB[i], 1e-5))
+ {
+ std::cout << "Forward B and RbdLinearizer B not similar" << std::endl;
+ std::cout << "forward B: " << std::endl << forwardB[i] << std::endl;
+ std::cout << "rbd B: " << std::endl << rbdB[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!reverseB[i].isApprox(rbdB[i], 1e-5))
+ {
+ std::cout << "Forward B and RbdLinearizer B not similar" << std::endl;
+ std::cout << "reverse B: " << std::endl << reverseB[i] << std::endl;
+ std::cout << "rbd B: " << std::endl << rbdB[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!forwardB[i].isApprox(reverseB[i], 1e-12))
+ {
+ std::cout << "Forward B and reverse B not similar" << std::endl;
+ std::cout << "forward B: " << std::endl << forwardB[i] << std::endl;
+ std::cout << "reverse B: " << std::endl << reverseB[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (failed)
+ {
+ std::cout << "test failed, aborting" << std::endl;
+ break;
+ }
+ }
+}
+
+
+int main(int argc, char* argv[])
+{
+ timing(true);
+ std::cout << std::endl;
+ timing(false);
+ return 0;
+}
diff --git a/ct_models/src/HyQ/codegen/compareForwardReverseID.cpp b/ct_models/src/HyQ/codegen/compareForwardReverseID.cpp
new file mode 100644
index 0000000..f98a842
--- /dev/null
+++ b/ct_models/src/HyQ/codegen/compareForwardReverseID.cpp
@@ -0,0 +1,111 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/rbd/rbd.h>
+
+#include <ct/models/HyQ/HyQ.h>
+#include <ct/models/HyQ/codegen/HyQInverseDynJacForward.h>
+#include <ct/models/HyQ/codegen/HyQInverseDynJacReverse.h>
+
+#include "helperFunctions.h"
+
+using namespace ct::models::HyQ;
+
+void timing()
+{
+ std::cout << "Timing inverse dynamics " << std::endl;
+ static const size_t nTests = 10000;
+
+ const size_t IN_DIM = state_dim + 18;
+ const size_t OUT_DIM = control_dim + 6;
+ typedef Eigen::Matrix<double, IN_DIM, 1> X;
+ typedef Eigen::Matrix<double, OUT_DIM, IN_DIM> Jac;
+
+ std::vector<X, Eigen::aligned_allocator<X>> x(nTests);
+
+ std::vector<Jac, Eigen::aligned_allocator<Jac>> forward(nTests);
+ std::vector<Jac, Eigen::aligned_allocator<Jac>> reverse(nTests);
+ std::vector<Jac, Eigen::aligned_allocator<Jac>> numDiff(nTests);
+
+ HyQInverseDynJacForward forwardJac;
+ HyQInverseDynJacReverse reverseJac;
+ ct::core::DerivativesNumDiff<IN_DIM, OUT_DIM>::Function idFun = ct::models::HyQ::hyqInverseDynamics<double>;
+ ct::core::DerivativesNumDiff<IN_DIM, OUT_DIM> numDiffJac(idFun);
+
+
+ std::cout << "input dim: " << IN_DIM << ", output dim: " << OUT_DIM << std::endl;
+
+ std::cout << "running " << nTests << " tests" << std::endl;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x[i].setRandom();
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forward[i] = forwardJac.jacobian(x[i]);
+ }
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ size_t msTotal = std::chrono::duration<double, std::micro>(diff).count();
+ std::cout << "forwardA: " << msTotal / 1000.0 << " ms. Average: " << msTotal / double(nTests) / 1000.0 << " ms"
+ << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverse[i] = reverseJac.jacobian(x[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count();
+ std::cout << "reverseA: " << msTotal / 1000.0 << " ms. Average: " << msTotal / double(nTests) / 1000.0 << " ms"
+ << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ numDiff[i] = numDiffJac.jacobian(x[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count();
+ std::cout << "numDiffA: " << msTotal / 1000.0 << " ms. Average: " << msTotal / double(nTests) / 1000.0 << " ms"
+ << std::endl;
+
+
+ bool failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forward[i].isApprox(numDiff[i], 1e-5))
+ {
+ std::cout << "Forward and NumDiff not similar" << std::endl;
+ std::cout << "forward: " << std::endl << forward[i] << std::endl;
+ std::cout << "numDiff: " << std::endl << numDiff[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!forward[i].isApprox(reverse[i], 1e-12))
+ {
+ std::cout << "Forward and reverse not similar" << std::endl;
+ std::cout << "forward: " << std::endl << forward[i] << std::endl;
+ std::cout << "reverse: " << std::endl << reverse[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (failed)
+ {
+ std::cout << "test failed, aborting" << std::endl;
+ break;
+ }
+ }
+}
+
+
+int main(int argc, char* argv[])
+{
+ timing();
+ return 0;
+}
diff --git a/ct_models/src/HyQ/codegen/compareForwardReverseKin.cpp b/ct_models/src/HyQ/codegen/compareForwardReverseKin.cpp
new file mode 100644
index 0000000..d6786b0
--- /dev/null
+++ b/ct_models/src/HyQ/codegen/compareForwardReverseKin.cpp
@@ -0,0 +1,110 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/rbd/rbd.h>
+
+#include <ct/models/HyQ/HyQ.h>
+#include <ct/models/HyQ/codegen/HyQForwardKinJacForward.h>
+#include <ct/models/HyQ/codegen/HyQForwardKinJacReverse.h>
+
+#include "helperFunctions.h"
+
+using namespace ct::models::HyQ;
+
+void timing()
+{
+ std::cout << "Timing forward kinematics " << std::endl;
+ static const size_t nTests = 10000;
+
+ const size_t IN_DIM = state_dim;
+ const size_t OUT_DIM = nEE * 6;
+ typedef Eigen::Matrix<double, IN_DIM, 1> X;
+ typedef Eigen::Matrix<double, OUT_DIM, IN_DIM> Jac;
+
+ std::vector<X, Eigen::aligned_allocator<X>> x(nTests);
+
+ std::vector<Jac, Eigen::aligned_allocator<Jac>> forward(nTests);
+ std::vector<Jac, Eigen::aligned_allocator<Jac>> reverse(nTests);
+ std::vector<Jac, Eigen::aligned_allocator<Jac>> numDiff(nTests);
+
+ HyQForwardKinJacForward forwardJac;
+ HyQForwardKinJacReverse reverseJac;
+ ct::core::DerivativesNumDiff<IN_DIM, OUT_DIM>::Function idFun = ct::models::HyQ::hyqForwardKinematics<double>;
+ ct::core::DerivativesNumDiff<IN_DIM, OUT_DIM> numDiffJac(idFun);
+
+ std::cout << "input dim: " << IN_DIM << ", output dim: " << OUT_DIM << std::endl;
+
+ std::cout << "running " << nTests << " tests" << std::endl;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x[i].setRandom();
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forward[i] = forwardJac.jacobian(x[i]);
+ }
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ size_t msTotal = std::chrono::duration<double, std::micro>(diff).count();
+ std::cout << "forwardA: " << msTotal / 1000.0 << " ms. Average: " << msTotal / double(nTests) / 1000.0 << " ms"
+ << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ reverse[i] = reverseJac.jacobian(x[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count();
+ std::cout << "reverseA: " << msTotal / 1000.0 << " ms. Average: " << msTotal / double(nTests) / 1000.0 << " ms"
+ << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ numDiff[i] = numDiffJac.jacobian(x[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count();
+ std::cout << "numDiffA: " << msTotal / 1000.0 << " ms. Average: " << msTotal / double(nTests) / 1000.0 << " ms"
+ << std::endl;
+
+
+ bool failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!forward[i].isApprox(numDiff[i], 1e-5))
+ {
+ std::cout << "Forward and NumDiff not similar" << std::endl;
+ std::cout << "forward: " << std::endl << forward[i] << std::endl;
+ std::cout << "numDiff: " << std::endl << numDiff[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (!forward[i].isApprox(reverse[i], 1e-12))
+ {
+ std::cout << "Forward and reverse not similar" << std::endl;
+ std::cout << "forward: " << std::endl << forward[i] << std::endl;
+ std::cout << "reverse: " << std::endl << reverse[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+ if (failed)
+ {
+ std::cout << "test failed, aborting" << std::endl;
+ break;
+ }
+ }
+}
+
+
+int main(int argc, char* argv[])
+{
+ timing();
+ return 0;
+}
diff --git a/ct_models/src/HyQ/codegen/compareForwardZero.cpp b/ct_models/src/HyQ/codegen/compareForwardZero.cpp
new file mode 100644
index 0000000..bfc7fa4
--- /dev/null
+++ b/ct_models/src/HyQ/codegen/compareForwardZero.cpp
@@ -0,0 +1,102 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/rbd/rbd.h>
+
+#include <ct/models/HyQ/HyQ.h>
+#include <ct/models/HyQ/codegen/HyQForwardZero.h>
+
+using namespace ct::models::HyQ;
+
+void timing(bool useContactModel)
+{
+ std::cout << std::boolalpha << "Using contact model: " << useContactModel << std::endl;
+
+ typedef ct::rbd::FloatingBaseFDSystem<ct::rbd::HyQ::Dynamics, false> HyQSystem;
+ std::shared_ptr<HyQSystem> hyqSys = std::shared_ptr<HyQSystem>(new HyQSystem);
+
+ typedef ct::rbd::EEContactModel<typename HyQSystem::Kinematics> ContactModel;
+ std::shared_ptr<ContactModel> contactModel = std::shared_ptr<ContactModel>(new ContactModel(5000.0, 1000.0, 100.0,
+ 100.0, -0.02, ContactModel::VELOCITY_SMOOTHING::SIGMOID, hyqSys->dynamics().kinematicsPtr()));
+ if (useContactModel)
+ hyqSys->setContactModel(contactModel);
+
+ ct::models::HyQ::HyQForwardZero hyqForwardZero;
+
+ static const size_t nTests = 100000;
+
+ typedef typename HyQSystem::StateVector X;
+ typedef typename HyQSystem::ControlVector U;
+ typedef Eigen::Matrix<double, HyQSystem::STATE_DIM + HyQSystem::CONTROL_DIM + 1, 1> XUT;
+
+ typedef HyQSystem::StateVector JacA;
+
+ std::vector<X, Eigen::aligned_allocator<X>> x(nTests);
+ std::vector<U, Eigen::aligned_allocator<U>> u(nTests);
+ std::vector<double, Eigen::aligned_allocator<double>> t(nTests);
+ std::vector<XUT, Eigen::aligned_allocator<XUT>> xut(nTests);
+
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> rawFd(nTests);
+ std::vector<JacA, Eigen::aligned_allocator<JacA>> forwardZeroFd(nTests);
+
+ std::cout << "running " << nTests << " tests" << std::endl;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x[i].setRandom();
+ u[i].setRandom();
+ t[i] = i;
+
+ xut[i] << x[i], u[i], t[i];
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ hyqSys->computeControlledDynamics(x[i], t[i], u[i], rawFd[i]);
+ }
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ double msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "rawFd: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ forwardZeroFd[i] = hyqForwardZero.forwardZero(xut[i]);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "ForwardZero: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+
+ bool failed = false;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ if (!rawFd[i].isApprox(forwardZeroFd[i], 1e-10))
+ {
+ std::cout << "Raw FD and forwardZero not identical" << std::endl;
+ std::cout << "raw FD: " << std::endl << rawFd[i] << std::endl;
+ std::cout << "forwardZeroFd A: " << std::endl << forwardZeroFd[i] << std::endl << std::endl << std::endl;
+ failed = true;
+ }
+
+ if (failed)
+ {
+ std::cout << "test failed, aborting" << std::endl;
+ break;
+ }
+ }
+}
+
+
+int main(int argc, char* argv[])
+{
+ timing(true);
+ std::cout << std::endl;
+ // timing(false);
+ return 0;
+}
diff --git a/ct_models/src/HyQ/codegen/helperFunctions.h b/ct_models/src/HyQ/codegen/helperFunctions.h
new file mode 100644
index 0000000..c4a2351
--- /dev/null
+++ b/ct_models/src/HyQ/codegen/helperFunctions.h
@@ -0,0 +1,105 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#ifndef SRC_HYQ_CODEGEN_HELPERFUNCTIONS_H_
+#define SRC_HYQ_CODEGEN_HELPERFUNCTIONS_H_
+
+#include <ct/core/core.h>
+#include <ct/rbd/rbd.h>
+#include <ct/models/HyQ/HyQ.h>
+
+namespace ct {
+namespace models {
+namespace HyQ {
+
+// a floating base forward-dynamic system templated on scalar type
+typedef ct::rbd::FloatingBaseFDSystem<ct::rbd::HyQ::tpl::Dynamics<double>, false> HyQSystem;
+
+template <typename SCALAR>
+using ContactModel = ct::rbd::EEContactModel<ct::rbd::HyQ::tpl::Kinematics<SCALAR>>;
+
+// extract dimensions
+const size_t state_dim = HyQSystem::STATE_DIM;
+const size_t control_dim = HyQSystem::CONTROL_DIM;
+
+// shortcut for number of joints
+const size_t njoints = HyQSystem::Kinematics::NJOINTS;
+const size_t nEE = HyQSystem::Kinematics::NUM_EE;
+
+template <typename SCALAR>
+Eigen::Matrix<SCALAR, control_dim + 6, 1> hyqInverseDynamics(const Eigen::Matrix<SCALAR, state_dim + 18, 1>& x)
+{
+ ct::rbd::HyQ::tpl::Dynamics<SCALAR> hyqDynamics;
+ ct::rbd::tpl::RBDState<njoints, SCALAR> hyqState;
+
+ // we assume x contains: q, q_dot, q_ddot
+ hyqState.fromStateVectorEulerXyz(x.template topRows<state_dim>());
+
+ ct::rbd::tpl::RigidBodyAcceleration<SCALAR> base_a(x.template segment<6>(state_dim));
+ ct::rbd::tpl::JointAcceleration<njoints, SCALAR> qdd(x.template bottomRows<njoints>());
+
+ typename ct::rbd::HyQ::tpl::Dynamics<SCALAR>::ExtLinkForces_t fext(Eigen::Matrix<SCALAR, 6, 1>::Zero()); //zero
+
+ // output
+ ct::core::ControlVector<control_dim, SCALAR> u;
+ typename ct::rbd::HyQ::tpl::Dynamics<SCALAR>::ForceVector_t base_w;
+
+ hyqDynamics.FloatingBaseFullyActuatedID(hyqState, base_a, qdd, fext, base_w, u);
+
+ Eigen::Matrix<SCALAR, control_dim + 6, 1> y;
+ y << base_w, u;
+ return y;
+}
+
+template <typename SCALAR>
+Eigen::Matrix<SCALAR, nEE * 6, 1> hyqForwardKinematics(const Eigen::Matrix<SCALAR, state_dim, 1>& x)
+{
+ ct::rbd::HyQ::tpl::Kinematics<SCALAR> hyqKinematics;
+ ct::rbd::tpl::RBDState<njoints, SCALAR> hyqState;
+ hyqState.fromStateVectorEulerXyz(x.template topRows<state_dim>());
+
+ // output vector: positions and velocities for all endeffectors
+ Eigen::Matrix<SCALAR, nEE * 6, 1> y;
+
+ for (size_t i = 0; i < nEE; i++)
+ {
+ y.template segment<3>(i * 6) =
+ hyqKinematics.getEEPositionInWorld(i, hyqState.basePose(), hyqState.jointPositions()).toImplementation();
+ y.template segment<3>(i * 6 + 3) = hyqKinematics.getEEVelocityInWorld(i, hyqState).toImplementation();
+ }
+
+ return y;
+}
+
+template <typename SCALAR>
+Eigen::Matrix<SCALAR, state_dim, 1> hyqContactModelForwardDynamics(
+ const Eigen::Matrix<SCALAR, state_dim + control_dim + 1, 1>& x) // state, input, time
+{
+ ct::rbd::FloatingBaseFDSystem<ct::rbd::HyQ::tpl::Dynamics<SCALAR>, false> system;
+ std::shared_ptr<ContactModel<SCALAR>> contactModel =
+ std::shared_ptr<ContactModel<SCALAR>>(new ContactModel<SCALAR>());
+ contactModel->k() = SCALAR(5000);
+ contactModel->d() = SCALAR(1000);
+ contactModel->alpha() = SCALAR(100);
+ contactModel->alpha_n() = SCALAR(100);
+ contactModel->zOffset() = SCALAR(-0.02);
+ contactModel->smoothing() = static_cast<typename ContactModel<SCALAR>::VELOCITY_SMOOTHING>(
+ ContactModel<SCALAR>::VELOCITY_SMOOTHING::SIGMOID);
+
+ system.setContactModel(contactModel);
+ ct::core::StateVector<state_dim, SCALAR> y;
+
+ system.computeControlledDynamics(x.segment(0, state_dim), SCALAR(0.0), x.segment(state_dim, control_dim), y);
+
+ return y;
+}
+}
+}
+}
+
+
+#endif /* SRC_HYQ_CODEGEN_HELPERFUNCTIONS_H_ */
diff --git a/ct_models/src/Irb4600/transform6d.cpp b/ct_models/src/Irb4600/transform6d.cpp
new file mode 100644
index 0000000..fac264a
--- /dev/null
+++ b/ct_models/src/Irb4600/transform6d.cpp
@@ -0,0 +1,25614 @@
+/// autogenerated analytical inverse kinematics code from ikfast program part of OpenRAVE
+/// \author Rosen Diankov
+///
+/// Licensed under the Apache License, Version 2.0 (the "License");
+/// you may not use this file except in compliance with the License.
+/// You may obtain a copy of the License at
+/// http://www.apache.org/licenses/LICENSE-2.0
+///
+/// Unless required by applicable law or agreed to in writing, software
+/// distributed under the License is distributed on an "AS IS" BASIS,
+/// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+/// See the License for the specific language governing permissions and
+/// limitations under the License.
+///
+/// ikfast version 0x1000004a generated on 2017-12-12 14:08:54.348797
+/// Generated using solver transform6d
+/// To compile with gcc:
+/// gcc -lstdc++ ik.cpp
+/// To compile without any main function as a shared object (might need -llapack):
+/// gcc -fPIC -lstdc++ -DIKFAST_NO_MAIN -DIKFAST_CLIBRARY -shared -Wl,-soname,libik.so -o libik.so ik.cpp
+#define IKFAST_HAS_LIBRARY
+#include "ikfast.h" // found inside share/openrave-X.Y/python/ikfast.h
+using namespace ikfast;
+
+// check if the included ikfast version matches what this file was compiled with
+#define IKFAST_COMPILE_ASSERT(x) extern int __dummy[(int)x]
+IKFAST_COMPILE_ASSERT(IKFAST_VERSION==0x1000004a);
+
+#include <cmath>
+#include <vector>
+#include <limits>
+#include <algorithm>
+#include <complex>
+
+#ifndef IKFAST_ASSERT
+#include <stdexcept>
+#include <sstream>
+#include <iostream>
+
+#ifdef _MSC_VER
+#ifndef __PRETTY_FUNCTION__
+#define __PRETTY_FUNCTION__ __FUNCDNAME__
+#endif
+#endif
+
+#ifndef __PRETTY_FUNCTION__
+#define __PRETTY_FUNCTION__ __func__
+#endif
+
+#define IKFAST_ASSERT(b) { if( !(b) ) { std::stringstream ss; ss << "ikfast exception: " << __FILE__ << ":" << __LINE__ << ": " <<__PRETTY_FUNCTION__ << ": Assertion '" << #b << "' failed"; throw std::runtime_error(ss.str()); } }
+
+#endif
+
+#if defined(_MSC_VER)
+#define IKFAST_ALIGNED16(x) __declspec(align(16)) x
+#else
+#define IKFAST_ALIGNED16(x) x __attribute((aligned(16)))
+#endif
+
+#define IK2PI ((IkReal)6.28318530717959)
+#define IKPI ((IkReal)3.14159265358979)
+#define IKPI_2 ((IkReal)1.57079632679490)
+
+#ifdef _MSC_VER
+#ifndef isnan
+#define isnan _isnan
+#endif
+#ifndef isinf
+#define isinf _isinf
+#endif
+//#ifndef isfinite
+//#define isfinite _isfinite
+//#endif
+#endif // _MSC_VER
+
+// lapack routines
+extern "C" {
+ void dgetrf_ (const int* m, const int* n, double* a, const int* lda, int* ipiv, int* info);
+ void zgetrf_ (const int* m, const int* n, std::complex<double>* a, const int* lda, int* ipiv, int* info);
+ void dgetri_(const int* n, const double* a, const int* lda, int* ipiv, double* work, const int* lwork, int* info);
+ void dgesv_ (const int* n, const int* nrhs, double* a, const int* lda, int* ipiv, double* b, const int* ldb, int* info);
+ void dgetrs_(const char *trans, const int *n, const int *nrhs, double *a, const int *lda, int *ipiv, double *b, const int *ldb, int *info);
+ void dgeev_(const char *jobvl, const char *jobvr, const int *n, double *a, const int *lda, double *wr, double *wi,double *vl, const int *ldvl, double *vr, const int *ldvr, double *work, const int *lwork, int *info);
+}
+
+using namespace std; // necessary to get std math routines
+
+#ifdef IKFAST_NAMESPACE
+namespace IKFAST_NAMESPACE {
+#endif
+
+inline float IKabs(float f) { return fabsf(f); }
+inline double IKabs(double f) { return fabs(f); }
+
+inline float IKsqr(float f) { return f*f; }
+inline double IKsqr(double f) { return f*f; }
+
+inline float IKlog(float f) { return logf(f); }
+inline double IKlog(double f) { return log(f); }
+
+// allows asin and acos to exceed 1. has to be smaller than thresholds used for branch conds and evaluation
+#ifndef IKFAST_SINCOS_THRESH
+#define IKFAST_SINCOS_THRESH ((IkReal)1e-7)
+#endif
+
+// used to check input to atan2 for degenerate cases. has to be smaller than thresholds used for branch conds and evaluation
+#ifndef IKFAST_ATAN2_MAGTHRESH
+#define IKFAST_ATAN2_MAGTHRESH ((IkReal)1e-7)
+#endif
+
+// minimum distance of separate solutions
+#ifndef IKFAST_SOLUTION_THRESH
+#define IKFAST_SOLUTION_THRESH ((IkReal)1e-6)
+#endif
+
+// there are checkpoints in ikfast that are evaluated to make sure they are 0. This threshold speicfies by how much they can deviate
+#ifndef IKFAST_EVALCOND_THRESH
+#define IKFAST_EVALCOND_THRESH ((IkReal)0.00001)
+#endif
+
+
+inline float IKasin(float f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return float(-IKPI_2);
+else if( f >= 1 ) return float(IKPI_2);
+return asinf(f);
+}
+inline double IKasin(double f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return -IKPI_2;
+else if( f >= 1 ) return IKPI_2;
+return asin(f);
+}
+
+// return positive value in [0,y)
+inline float IKfmod(float x, float y)
+{
+ while(x < 0) {
+ x += y;
+ }
+ return fmodf(x,y);
+}
+
+// return positive value in [0,y)
+inline double IKfmod(double x, double y)
+{
+ while(x < 0) {
+ x += y;
+ }
+ return fmod(x,y);
+}
+
+inline float IKacos(float f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return float(IKPI);
+else if( f >= 1 ) return float(0);
+return acosf(f);
+}
+inline double IKacos(double f)
+{
+IKFAST_ASSERT( f > -1-IKFAST_SINCOS_THRESH && f < 1+IKFAST_SINCOS_THRESH ); // any more error implies something is wrong with the solver
+if( f <= -1 ) return IKPI;
+else if( f >= 1 ) return 0;
+return acos(f);
+}
+inline float IKsin(float f) { return sinf(f); }
+inline double IKsin(double f) { return sin(f); }
+inline float IKcos(float f) { return cosf(f); }
+inline double IKcos(double f) { return cos(f); }
+inline float IKtan(float f) { return tanf(f); }
+inline double IKtan(double f) { return tan(f); }
+inline float IKsqrt(float f) { if( f <= 0.0f ) return 0.0f; return sqrtf(f); }
+inline double IKsqrt(double f) { if( f <= 0.0 ) return 0.0; return sqrt(f); }
+inline float IKatan2Simple(float fy, float fx) {
+ return atan2f(fy,fx);
+}
+inline float IKatan2(float fy, float fx) {
+ if( isnan(fy) ) {
+ IKFAST_ASSERT(!isnan(fx)); // if both are nan, probably wrong value will be returned
+ return float(IKPI_2);
+ }
+ else if( isnan(fx) ) {
+ return 0;
+ }
+ return atan2f(fy,fx);
+}
+inline double IKatan2Simple(double fy, double fx) {
+ return atan2(fy,fx);
+}
+inline double IKatan2(double fy, double fx) {
+ if( isnan(fy) ) {
+ IKFAST_ASSERT(!isnan(fx)); // if both are nan, probably wrong value will be returned
+ return IKPI_2;
+ }
+ else if( isnan(fx) ) {
+ return 0;
+ }
+ return atan2(fy,fx);
+}
+
+template <typename T>
+struct CheckValue
+{
+ T value;
+ bool valid;
+};
+
+template <typename T>
+inline CheckValue<T> IKatan2WithCheck(T fy, T fx, T epsilon)
+{
+ CheckValue<T> ret;
+ ret.valid = false;
+ ret.value = 0;
+ if( !isnan(fy) && !isnan(fx) ) {
+ if( IKabs(fy) >= IKFAST_ATAN2_MAGTHRESH || IKabs(fx) > IKFAST_ATAN2_MAGTHRESH ) {
+ ret.value = IKatan2Simple(fy,fx);
+ ret.valid = true;
+ }
+ }
+ return ret;
+}
+
+inline float IKsign(float f) {
+ if( f > 0 ) {
+ return float(1);
+ }
+ else if( f < 0 ) {
+ return float(-1);
+ }
+ return 0;
+}
+
+inline double IKsign(double f) {
+ if( f > 0 ) {
+ return 1.0;
+ }
+ else if( f < 0 ) {
+ return -1.0;
+ }
+ return 0;
+}
+
+template <typename T>
+inline CheckValue<T> IKPowWithIntegerCheck(T f, int n)
+{
+ CheckValue<T> ret;
+ ret.valid = true;
+ if( n == 0 ) {
+ ret.value = 1.0;
+ return ret;
+ }
+ else if( n == 1 )
+ {
+ ret.value = f;
+ return ret;
+ }
+ else if( n < 0 )
+ {
+ if( f == 0 )
+ {
+ ret.valid = false;
+ ret.value = (T)1.0e30;
+ return ret;
+ }
+ if( n == -1 ) {
+ ret.value = T(1.0)/f;
+ return ret;
+ }
+ }
+
+ int num = n > 0 ? n : -n;
+ if( num == 2 ) {
+ ret.value = f*f;
+ }
+ else if( num == 3 ) {
+ ret.value = f*f*f;
+ }
+ else {
+ ret.value = 1.0;
+ while(num>0) {
+ if( num & 1 ) {
+ ret.value *= f;
+ }
+ num >>= 1;
+ f *= f;
+ }
+ }
+
+ if( n < 0 ) {
+ ret.value = T(1.0)/ret.value;
+ }
+ return ret;
+}
+
+/// solves the forward kinematics equations.
+/// \param pfree is an array specifying the free joints of the chain.
+IKFAST_API void ComputeFk(const IkReal* j, IkReal* eetrans, IkReal* eerot) {
+IkReal x0,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52,x53,x54,x55,x56,x57,x58,x59,x60,x61,x62,x63,x64;
+x0=IKcos(j[0]);
+x1=IKcos(j[3]);
+x2=IKsin(j[0]);
+x3=IKsin(j[3]);
+x4=IKsin(j[4]);
+x5=IKsin(j[1]);
+x6=IKsin(j[2]);
+x7=IKcos(j[1]);
+x8=IKcos(j[2]);
+x9=IKcos(j[4]);
+x10=IKsin(j[5]);
+x11=IKcos(j[5]);
+x12=((0.134999999784)*x4);
+x13=((5.39999999136e-6)*x4);
+x14=((0.9999999992)*x4);
+x15=((1.271)*x0);
+x16=((1.271)*x2);
+x17=((5.39999999136e-6)*x0);
+x18=((0.175)*x0);
+x19=((3.9999999968e-5)*x4);
+x20=((5.39999999136e-6)*x9);
+x21=((0.175)*x2);
+x22=((0.134999999784)*x9);
+x23=((3.9999999968e-5)*x9);
+x24=((0.9999999992)*x9);
+x25=((1.0)*x2);
+x26=((5.39999999136e-6)*x1);
+x27=((1.095)*x5);
+x28=((2.159999996544e-10)*x0);
+x29=((1.0)*x0);
+x30=((2.159999996544e-10)*x2);
+x31=((2.159999996544e-10)*x1);
+x32=((5.39999999136e-6)*x2);
+x33=(x5*x6);
+x34=(x7*x8);
+x35=(x1*x9);
+x36=(x2*x3);
+x37=(x6*x7);
+x38=(x5*x8);
+x39=((1.0)*x34);
+x40=(x29*x33);
+x41=(x25*x33);
+x42=((((-1.0)*x39))+x33);
+x43=((((-1.0)*x33))+x39);
+x44=((((1.0)*x38))+(((1.0)*x37)));
+x45=((-1.0)*x44);
+x46=(x1*x42);
+x47=(x3*x43);
+x48=((((-1.0)*x40))+((x0*x34)));
+x49=((((-1.0)*x41))+((x2*x34)));
+x50=((((-1.0)*x29*x34))+x40);
+x51=((((-1.0)*x25*x34))+x41);
+x52=(x29*((x38+x37)));
+x53=((-1.0)*x52);
+x54=(x25*((x38+x37)));
+x55=((-1.0)*x54);
+x56=(x1*x55);
+x57=((((-1.0)*x25*x3))+((x1*x53)));
+x58=(((x3*x52))+(((-1.0)*x1*x25)));
+x59=(((x0*x3))+x56);
+x60=(((x0*x1))+((x3*x54)));
+x61=(x4*x57);
+x62=(((x19*x46))+((x23*x45))+((x14*x44))+((x24*x46)));
+x63=(((x14*x50))+((x23*x48))+((x19*x57))+((x24*x57)));
+x64=(((x14*x51))+((x23*x49))+((x19*x59))+((x24*x59)));
+eerot[0]=(((x11*x63))+((x10*x58)));
+eerot[1]=((((-1.0)*x10*x63))+((x11*x58)));
+eerot[2]=(((x14*x57))+(((-1.0)*x23*x57))+(((-1.0)*x19*x50))+((x24*x48)));
+IkReal x65=((1.0)*x33);
+eetrans[0]=(((x12*x57))+((x0*x27))+(((-1.0)*x15*x65))+((x18*x37))+((x18*x38))+(((-1.0)*x20*x57))+((x22*x48))+((x4*(((((-2.159999996544e-10)*x36))+((x31*x53))))))+((x15*x34))+((x9*((((x28*x34))+(((-1.0)*x28*x65))))))+x18+((x9*((((x26*x53))+(((-5.39999999136e-6)*x36))))))+(((-1.0)*x13*x50))+((x4*((((x17*x33))+(((-1.0)*x17*x34)))))));
+eerot[3]=(((x11*x64))+((x10*x60)));
+eerot[4]=((((-1.0)*x10*x64))+((x11*x60)));
+eerot[5]=(((x14*x59))+(((-1.0)*x23*x59))+(((-1.0)*x19*x51))+((x24*x49)));
+IkReal x66=((1.0)*x33);
+eetrans[1]=((((-1.0)*x16*x66))+((x12*x59))+((x4*((((x31*x55))+((x28*x3))))))+((x16*x34))+(((-1.0)*x20*x59))+((x4*((((x32*x33))+(((-1.0)*x32*x34))))))+((x22*x49))+((x21*x38))+((x21*x37))+((x9*(((((-1.0)*x30*x66))+((x30*x34))))))+((x2*x27))+x21+(((-1.0)*x13*x51))+((x9*((((x26*x55))+((x17*x3)))))));
+eerot[6]=(((x10*x47))+((x11*x62)));
+eerot[7]=((((-1.0)*x10*x62))+((x11*x47)));
+eerot[8]=(((x14*x46))+(((-1.0)*x19*x44))+((x24*x45))+(((-1.0)*x23*x46)));
+eetrans[2]=((0.495)+(((-0.175)*x33))+(((-1.0)*x20*x46))+(((0.175)*x34))+((x22*x45))+(((-1.271)*x38))+(((-1.271)*x37))+((x4*(((((5.39999999136e-6)*x38))+(((5.39999999136e-6)*x37))))))+((x1*x4*(((((-2.159999996544e-10)*x34))+(((2.159999996544e-10)*x33))))))+((x35*(((((5.39999999136e-6)*x33))+(((-5.39999999136e-6)*x34))))))+(((1.095)*x7))+((x12*x46))+((x9*(((((-2.159999996544e-10)*x37))+(((-2.159999996544e-10)*x38))))))+(((-1.0)*x13*x44)));
+}
+
+IKFAST_API int GetNumFreeParameters() { return 0; }
+IKFAST_API int* GetFreeParameters() { return NULL; }
+IKFAST_API int GetNumJoints() { return 6; }
+
+IKFAST_API int GetIkRealSize() { return sizeof(IkReal); }
+
+IKFAST_API int GetIkType() { return 0x67000001; }
+
+class IKSolver {
+public:
+IkReal j0,cj0,sj0,htj0,j0mul,j1,cj1,sj1,htj1,j1mul,j2,cj2,sj2,htj2,j2mul,j3,cj3,sj3,htj3,j3mul,j4,cj4,sj4,htj4,j4mul,j5,cj5,sj5,htj5,j5mul,new_r00,r00,rxp0_0,new_r01,r01,rxp0_1,new_r02,r02,rxp0_2,new_r10,r10,rxp1_0,new_r11,r11,rxp1_1,new_r12,r12,rxp1_2,new_r20,r20,rxp2_0,new_r21,r21,rxp2_1,new_r22,r22,rxp2_2,new_px,px,npx,new_py,py,npy,new_pz,pz,npz,pp;
+unsigned char _ij0[2], _nj0,_ij1[2], _nj1,_ij2[2], _nj2,_ij3[2], _nj3,_ij4[2], _nj4,_ij5[2], _nj5;
+
+IkReal j100, cj100, sj100;
+unsigned char _ij100[2], _nj100;
+bool ComputeIk(const IkReal* eetrans, const IkReal* eerot, const IkReal* pfree, IkSolutionListBase<IkReal>& solutions) {
+j0=numeric_limits<IkReal>::quiet_NaN(); _ij0[0] = -1; _ij0[1] = -1; _nj0 = -1; j1=numeric_limits<IkReal>::quiet_NaN(); _ij1[0] = -1; _ij1[1] = -1; _nj1 = -1; j2=numeric_limits<IkReal>::quiet_NaN(); _ij2[0] = -1; _ij2[1] = -1; _nj2 = -1; j3=numeric_limits<IkReal>::quiet_NaN(); _ij3[0] = -1; _ij3[1] = -1; _nj3 = -1; j4=numeric_limits<IkReal>::quiet_NaN(); _ij4[0] = -1; _ij4[1] = -1; _nj4 = -1; j5=numeric_limits<IkReal>::quiet_NaN(); _ij5[0] = -1; _ij5[1] = -1; _nj5 = -1;
+for(int dummyiter = 0; dummyiter < 1; ++dummyiter) {
+ solutions.Clear();
+r00 = eerot[0*3+0];
+r01 = eerot[0*3+1];
+r02 = eerot[0*3+2];
+r10 = eerot[1*3+0];
+r11 = eerot[1*3+1];
+r12 = eerot[1*3+2];
+r20 = eerot[2*3+0];
+r21 = eerot[2*3+1];
+r22 = eerot[2*3+2];
+px = eetrans[0]; py = eetrans[1]; pz = eetrans[2];
+
+new_r00=r00;
+new_r01=r01;
+new_r02=r02;
+new_px=((((-0.134999999892)*r02))+px);
+new_r10=r10;
+new_r11=r11;
+new_r12=r12;
+new_py=((((-0.134999999892)*r12))+py);
+new_r20=r20;
+new_r21=r21;
+new_r22=r22;
+new_pz=((-0.495)+pz+(((-0.134999999892)*r22)));
+r00 = new_r00; r01 = new_r01; r02 = new_r02; r10 = new_r10; r11 = new_r11; r12 = new_r12; r20 = new_r20; r21 = new_r21; r22 = new_r22; px = new_px; py = new_py; pz = new_pz;
+IkReal x67=((1.0)*px);
+IkReal x68=((1.0)*pz);
+IkReal x69=((1.0)*py);
+pp=((px*px)+(py*py)+(pz*pz));
+npx=(((px*r00))+((py*r10))+((pz*r20)));
+npy=(((px*r01))+((py*r11))+((pz*r21)));
+npz=(((px*r02))+((py*r12))+((pz*r22)));
+rxp0_0=((((-1.0)*r20*x69))+((pz*r10)));
+rxp0_1=(((px*r20))+(((-1.0)*r00*x68)));
+rxp0_2=((((-1.0)*r10*x67))+((py*r00)));
+rxp1_0=((((-1.0)*r21*x69))+((pz*r11)));
+rxp1_1=(((px*r21))+(((-1.0)*r01*x68)));
+rxp1_2=((((-1.0)*r11*x67))+((py*r01)));
+rxp2_0=(((pz*r12))+(((-1.0)*r22*x69)));
+rxp2_1=(((px*r22))+(((-1.0)*r02*x68)));
+rxp2_2=((((-1.0)*r12*x67))+((py*r02)));
+{
+IkReal j0eval[1];
+j0eval[0]=((IKabs(px))+(IKabs(py)));
+if( IKabs(j0eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j0, j1, j2]
+
+} else
+{
+{
+IkReal j0array[2], cj0array[2], sj0array[2];
+bool j0valid[2]={false};
+_nj0 = 2;
+CheckValue<IkReal> x71 = IKatan2WithCheck(IkReal(py),IkReal(((-1.0)*px)),IKFAST_ATAN2_MAGTHRESH);
+if(!x71.valid){
+continue;
+}
+IkReal x70=x71.value;
+j0array[0]=((-1.0)*x70);
+sj0array[0]=IKsin(j0array[0]);
+cj0array[0]=IKcos(j0array[0]);
+j0array[1]=((3.14159265358979)+(((-1.0)*x70)));
+sj0array[1]=IKsin(j0array[1]);
+cj0array[1]=IKcos(j0array[1]);
+if( j0array[0] > IKPI )
+{
+ j0array[0]-=IK2PI;
+}
+else if( j0array[0] < -IKPI )
+{ j0array[0]+=IK2PI;
+}
+j0valid[0] = true;
+if( j0array[1] > IKPI )
+{
+ j0array[1]-=IK2PI;
+}
+else if( j0array[1] < -IKPI )
+{ j0array[1]+=IK2PI;
+}
+j0valid[1] = true;
+for(int ij0 = 0; ij0 < 2; ++ij0)
+{
+if( !j0valid[ij0] )
+{
+ continue;
+}
+_ij0[0] = ij0; _ij0[1] = -1;
+for(int iij0 = ij0+1; iij0 < 2; ++iij0)
+{
+if( j0valid[iij0] && IKabs(cj0array[ij0]-cj0array[iij0]) < IKFAST_SOLUTION_THRESH && IKabs(sj0array[ij0]-sj0array[iij0]) < IKFAST_SOLUTION_THRESH )
+{
+ j0valid[iij0]=false; _ij0[1] = iij0; break;
+}
+}
+j0 = j0array[ij0]; cj0 = cj0array[ij0]; sj0 = sj0array[ij0];
+
+{
+IkReal j2array[2], cj2array[2], sj2array[2];
+bool j2valid[2]={false};
+_nj2 = 2;
+IkReal x72=px*px;
+IkReal x73=r10*r10;
+IkReal x74=r01*r01;
+IkReal x75=py*py;
+IkReal x76=r11*r11;
+IkReal x77=r00*r00;
+IkReal x78=r20*r20;
+IkReal x79=r21*r21;
+IkReal x80=pz*pz;
+IkReal x81=r12*r12;
+IkReal x82=r22*r22;
+IkReal x83=r02*r02;
+IkReal x84=((0.355903503251059)*x80);
+IkReal x85=((0.124566226137871)*cj0*px);
+IkReal x86=((0.355903503251059)*x72);
+IkReal x87=((0.355903503251059)*x75);
+IkReal x88=((0.124566226137871)*py*sj0);
+IkReal x89=(x74*x76);
+IkReal x90=(x77*x78);
+IkReal x91=(x76*x79);
+IkReal x92=(x81*x83);
+IkReal x93=(x82*x83);
+IkReal x94=(x81*x82);
+IkReal x95=(x74*x79);
+IkReal x96=(x73*x87);
+if( (((-1.00167830918099)+(((-1.0)*x81*x88))+((x77*x86))+((x87*x91))+((x79*x84))+(((-1.0)*x73*x88))+(((-1.0)*x83*x85))+((x78*x84))+((x82*x84))+((x81*x87))+((x78*x96))+((x86*x90))+((x86*x95))+(((-1.0)*x77*x85))+((x86*x89))+((x74*x86))+(((-0.711807006502117)*x78*x79*x80))+(((-1.0)*x87*x92))+(((-1.0)*x87*x94))+(((-1.0)*x86*x93))+(((-1.0)*x86*x92))+((x76*x87))+((x73*x77*x86))+x96+(((-1.0)*x74*x85))+(((-0.711807006502117)*x73*x75*x76))+(((-1.0)*x76*x88))+(((-1.0)*x84*x94))+(((-1.0)*x84*x93))+((x83*x86))+(((-0.711807006502117)*x72*x74*x77))+((x73*x78*x84))+((x84*x91))+((x84*x90))+((x84*x95))+((x77*x96))+((x87*x89)))) < -1-IKFAST_SINCOS_THRESH || (((-1.00167830918099)+(((-1.0)*x81*x88))+((x77*x86))+((x87*x91))+((x79*x84))+(((-1.0)*x73*x88))+(((-1.0)*x83*x85))+((x78*x84))+((x82*x84))+((x81*x87))+((x78*x96))+((x86*x90))+((x86*x95))+(((-1.0)*x77*x85))+((x86*x89))+((x74*x86))+(((-0.711807006502117)*x78*x79*x80))+(((-1.0)*x87*x92))+(((-1.0)*x87*x94))+(((-1.0)*x86*x93))+(((-1.0)*x86*x92))+((x76*x87))+((x73*x77*x86))+x96+(((-1.0)*x74*x85))+(((-0.711807006502117)*x73*x75*x76))+(((-1.0)*x76*x88))+(((-1.0)*x84*x94))+(((-1.0)*x84*x93))+((x83*x86))+(((-0.711807006502117)*x72*x74*x77))+((x73*x78*x84))+((x84*x91))+((x84*x90))+((x84*x95))+((x77*x96))+((x87*x89)))) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+IkReal x97=IKasin(((-1.00167830918099)+(((-1.0)*x81*x88))+((x77*x86))+((x87*x91))+((x79*x84))+(((-1.0)*x73*x88))+(((-1.0)*x83*x85))+((x78*x84))+((x82*x84))+((x81*x87))+((x78*x96))+((x86*x90))+((x86*x95))+(((-1.0)*x77*x85))+((x86*x89))+((x74*x86))+(((-0.711807006502117)*x78*x79*x80))+(((-1.0)*x87*x92))+(((-1.0)*x87*x94))+(((-1.0)*x86*x93))+(((-1.0)*x86*x92))+((x76*x87))+((x73*x77*x86))+x96+(((-1.0)*x74*x85))+(((-0.711807006502117)*x73*x75*x76))+(((-1.0)*x76*x88))+(((-1.0)*x84*x94))+(((-1.0)*x84*x93))+((x83*x86))+(((-0.711807006502117)*x72*x74*x77))+((x73*x78*x84))+((x84*x91))+((x84*x90))+((x84*x95))+((x77*x96))+((x87*x89))));
+j2array[0]=((0.136826551321617)+(((-1.0)*x97)));
+sj2array[0]=IKsin(j2array[0]);
+cj2array[0]=IKcos(j2array[0]);
+j2array[1]=((3.27841920491141)+x97);
+sj2array[1]=IKsin(j2array[1]);
+cj2array[1]=IKcos(j2array[1]);
+if( j2array[0] > IKPI )
+{
+ j2array[0]-=IK2PI;
+}
+else if( j2array[0] < -IKPI )
+{ j2array[0]+=IK2PI;
+}
+j2valid[0] = true;
+if( j2array[1] > IKPI )
+{
+ j2array[1]-=IK2PI;
+}
+else if( j2array[1] < -IKPI )
+{ j2array[1]+=IK2PI;
+}
+j2valid[1] = true;
+for(int ij2 = 0; ij2 < 2; ++ij2)
+{
+if( !j2valid[ij2] )
+{
+ continue;
+}
+_ij2[0] = ij2; _ij2[1] = -1;
+for(int iij2 = ij2+1; iij2 < 2; ++iij2)
+{
+if( j2valid[iij2] && IKabs(cj2array[ij2]-cj2array[iij2]) < IKFAST_SOLUTION_THRESH && IKabs(sj2array[ij2]-sj2array[iij2]) < IKFAST_SOLUTION_THRESH )
+{
+ j2valid[iij2]=false; _ij2[1] = iij2; break;
+}
+}
+j2 = j2array[ij2]; cj2 = cj2array[ij2]; sj2 = sj2array[ij2];
+
+{
+IkReal j1eval[2];
+IkReal x98=(py*sj0);
+IkReal x99=((41.5020408163265)*cj2);
+IkReal x100=(pz*sj2);
+IkReal x101=((5.71428571428571)*sj2);
+IkReal x102=(cj2*pz);
+IkReal x103=(cj0*px);
+IkReal x104=((1.271)*cj2);
+IkReal x105=((0.175)*sj2);
+j1eval[0]=((((-35.7551020408163)*pz))+(((-1.0)*sj2))+(((41.5020408163265)*x100))+((x103*x99))+((x101*x98))+(((-5.71428571428571)*x102))+((x98*x99))+((x101*x103))+(((-7.26285714285714)*cj2)));
+j1eval[1]=IKsign(((((-1.095)*pz))+(((-0.175)*x102))+((x103*x105))+((x103*x104))+(((-0.030625)*sj2))+((x105*x98))+(((1.271)*x100))+((x104*x98))+(((-0.222425)*cj2))));
+if( IKabs(j1eval[0]) < 0.0000010000000000 || IKabs(j1eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j1eval[2];
+j1eval[0]=((7.42359034572733)+(((-7.26285714285714)*sj2))+cj2);
+j1eval[1]=IKsign(((2.845091)+(((0.38325)*cj2))+(((-2.78349)*sj2))));
+if( IKabs(j1eval[0]) < 0.0000010000000000 || IKabs(j1eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j1eval[2];
+IkReal x106=(py*sj0);
+IkReal x107=((0.175)*cj2);
+IkReal x108=((5.71428571428571)*cj2);
+IkReal x109=(cj0*px);
+IkReal x110=((1.271)*sj2);
+IkReal x111=(pz*sj2);
+IkReal x112=(cj2*pz);
+IkReal x113=((41.5020408163265)*sj2);
+j1eval[0]=((6.25714285714286)+(((-7.26285714285714)*sj2))+(((-35.7551020408163)*x109))+(((-35.7551020408163)*x106))+cj2+((x106*x113))+(((-5.71428571428571)*x111))+(((-41.5020408163265)*x112))+((x109*x113))+(((-1.0)*x106*x108))+(((-1.0)*x108*x109)));
+j1eval[1]=IKsign(((0.191625)+(((-0.175)*x111))+(((-1.271)*x112))+(((-1.095)*x106))+(((-1.095)*x109))+(((0.030625)*cj2))+((x106*x110))+(((-1.0)*x107*x109))+((x109*x110))+(((-1.0)*x106*x107))+(((-0.222425)*sj2))));
+if( IKabs(j1eval[0]) < 0.0000010000000000 || IKabs(j1eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j1]
+
+} else
+{
+{
+IkReal j1array[1], cj1array[1], sj1array[1];
+bool j1valid[1]={false};
+_nj1 = 1;
+IkReal x114=cj2*cj2;
+IkReal x115=(cj2*sj2);
+IkReal x116=(py*sj0);
+IkReal x117=((1.271)*sj2);
+IkReal x118=((0.175)*cj2);
+IkReal x119=(cj0*px);
+IkReal x120=((0.175)*pz);
+IkReal x121=((1.0)*pz);
+CheckValue<IkReal> x122=IKPowWithIntegerCheck(IKsign(((0.191625)+(((-1.095)*x116))+(((-1.095)*x119))+(((-1.0)*x118*x119))+(((-1.0)*sj2*x120))+(((-1.271)*cj2*pz))+(((0.030625)*cj2))+(((-1.0)*x116*x118))+(((-0.222425)*sj2))+((x116*x117))+((x117*x119)))),-1);
+if(!x122.valid){
+continue;
+}
+CheckValue<IkReal> x123 = IKatan2WithCheck(IkReal(((-2.814466)+(((0.44485)*x115))+(((2.78349)*sj2))+(((-0.38325)*cj2))+(pz*pz)+(((1.584816)*x114)))),IkReal(((0.222425)+(((-0.191625)*sj2))+(((-1.0)*x119*x121))+(((-1.0)*x116*x121))+(((-1.391745)*cj2))+x120+(((1.584816)*x115))+(((-0.44485)*x114)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x123.valid){
+continue;
+}
+j1array[0]=((-1.5707963267949)+(((1.5707963267949)*(x122.value)))+(x123.value));
+sj1array[0]=IKsin(j1array[0]);
+cj1array[0]=IKcos(j1array[0]);
+if( j1array[0] > IKPI )
+{
+ j1array[0]-=IK2PI;
+}
+else if( j1array[0] < -IKPI )
+{ j1array[0]+=IK2PI;
+}
+j1valid[0] = true;
+for(int ij1 = 0; ij1 < 1; ++ij1)
+{
+if( !j1valid[ij1] )
+{
+ continue;
+}
+_ij1[0] = ij1; _ij1[1] = -1;
+for(int iij1 = ij1+1; iij1 < 1; ++iij1)
+{
+if( j1valid[iij1] && IKabs(cj1array[ij1]-cj1array[iij1]) < IKFAST_SOLUTION_THRESH && IKabs(sj1array[ij1]-sj1array[iij1]) < IKFAST_SOLUTION_THRESH )
+{
+ j1valid[iij1]=false; _ij1[1] = iij1; break;
+}
+}
+j1 = j1array[ij1]; cj1 = cj1array[ij1]; sj1 = sj1array[ij1];
+{
+IkReal evalcond[5];
+IkReal x124=IKcos(j1);
+IkReal x125=IKsin(j1);
+IkReal x126=py*py;
+IkReal x127=r11*r11;
+IkReal x128=r21*r21;
+IkReal x129=r01*r01;
+IkReal x130=px*px;
+IkReal x131=pz*pz;
+IkReal x132=r10*r10;
+IkReal x133=r00*r00;
+IkReal x134=r20*r20;
+IkReal x135=r02*r02;
+IkReal x136=r22*r22;
+IkReal x137=r12*r12;
+IkReal x138=((1.271)*cj2);
+IkReal x139=(cj0*px);
+IkReal x140=((0.175)*cj2);
+IkReal x141=(py*sj0);
+IkReal x142=(sj2*x124);
+IkReal x143=((1.0)*x125);
+IkReal x144=((1.0)*x136);
+IkReal x145=(sj2*x125);
+IkReal x146=(x130*x133);
+IkReal x147=(x130*x135);
+IkReal x148=(x128*x131);
+IkReal x149=(x126*x137);
+IkReal x150=(x131*x134);
+IkReal x151=(x126*x132);
+IkReal x152=(x126*x127);
+IkReal x153=(x129*x130);
+evalcond[0]=(((x124*x141))+(((-1.0)*pz*x143))+(((-0.175)*sj2))+(((-1.0)*x138))+((x124*x139))+(((-0.175)*x124)));
+evalcond[1]=((((1.271)*x142))+(((-1.0)*x124*x140))+(((0.175)*x145))+((x125*x138))+pz+(((-1.095)*x124)));
+evalcond[2]=((1.095)+(((-1.0)*x139*x143))+x140+(((-1.0)*pz*x124))+(((-1.0)*x141*x143))+(((0.175)*x125))+(((-1.271)*sj2)));
+evalcond[3]=((-0.175)+(((1.271)*x145))+(((-1.0)*x125*x140))+(((-0.175)*x142))+(((-1.0)*x124*x138))+x141+x139+(((-1.095)*x125)));
+evalcond[4]=((-2.875716)+(((-2.0)*x129*x146))+(((-0.38325)*x125))+(((-0.44485)*cj2*x124))+(((-1.0)*x131*x137*x144))+((x128*x153))+((x128*x152))+(((2.78349)*sj2))+(((-0.38325)*cj2))+(((-1.0)*x144*x147))+(((-1.0)*x144*x149))+(((-2.0)*x134*x148))+(((-1.0)*x137*x147))+x153+x152+x151+x150+x146+x147+x148+x149+(((-0.06125)*x142))+((x129*x148))+((x127*x148))+((x131*x136))+((x129*x152))+(((-2.0)*x127*x151))+((x127*x153))+(((-1.0)*x131*x135*x144))+((x134*x146))+(((-0.06125)*cj2*x125))+((x134*x151))+((x132*x146))+((x133*x150))+((x133*x151))+((x132*x150))+(((-1.0)*x135*x149))+(((0.44485)*x145)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j1array[1], cj1array[1], sj1array[1];
+bool j1valid[1]={false};
+_nj1 = 1;
+IkReal x2707=((0.175)*cj2);
+IkReal x2708=(cj0*px);
+IkReal x2709=(py*sj0);
+IkReal x2710=((1.271)*pz);
+IkReal x2711=((0.175)*sj2);
+IkReal x2712=((1.271)*x2709);
+CheckValue<IkReal> x2713 = IKatan2WithCheck(IkReal(((-0.191625)+(((-0.030625)*cj2))+(((-1.0)*cj2*x2710))+(((-1.271)*sj2*x2708))+((x2707*x2708))+((x2707*x2709))+(((-1.0)*sj2*x2712))+(((-1.0)*pz*x2711))+(((0.222425)*sj2))+(((1.095)*x2708))+(((1.095)*x2709)))),IkReal((((x2708*x2711))+((cj2*x2712))+(((1.095)*pz))+((x2709*x2711))+(((1.271)*cj2*x2708))+((pz*x2707))+(((-1.0)*sj2*x2710))+(((-0.030625)*sj2))+(((-0.222425)*cj2)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2713.valid){
+continue;
+}
+CheckValue<IkReal> x2714=IKPowWithIntegerCheck(IKsign(((2.845091)+(((0.38325)*cj2))+(((-2.78349)*sj2)))),-1);
+if(!x2714.valid){
+continue;
+}
+j1array[0]=((-1.5707963267949)+(x2713.value)+(((1.5707963267949)*(x2714.value))));
+sj1array[0]=IKsin(j1array[0]);
+cj1array[0]=IKcos(j1array[0]);
+if( j1array[0] > IKPI )
+{
+ j1array[0]-=IK2PI;
+}
+else if( j1array[0] < -IKPI )
+{ j1array[0]+=IK2PI;
+}
+j1valid[0] = true;
+for(int ij1 = 0; ij1 < 1; ++ij1)
+{
+if( !j1valid[ij1] )
+{
+ continue;
+}
+_ij1[0] = ij1; _ij1[1] = -1;
+for(int iij1 = ij1+1; iij1 < 1; ++iij1)
+{
+if( j1valid[iij1] && IKabs(cj1array[ij1]-cj1array[iij1]) < IKFAST_SOLUTION_THRESH && IKabs(sj1array[ij1]-sj1array[iij1]) < IKFAST_SOLUTION_THRESH )
+{
+ j1valid[iij1]=false; _ij1[1] = iij1; break;
+}
+}
+j1 = j1array[ij1]; cj1 = cj1array[ij1]; sj1 = sj1array[ij1];
+{
+IkReal evalcond[5];
+IkReal x2715=IKcos(j1);
+IkReal x2716=IKsin(j1);
+IkReal x2717=py*py;
+IkReal x2718=r11*r11;
+IkReal x2719=r21*r21;
+IkReal x2720=r01*r01;
+IkReal x2721=px*px;
+IkReal x2722=pz*pz;
+IkReal x2723=r10*r10;
+IkReal x2724=r00*r00;
+IkReal x2725=r20*r20;
+IkReal x2726=r02*r02;
+IkReal x2727=r22*r22;
+IkReal x2728=r12*r12;
+IkReal x2729=((1.271)*cj2);
+IkReal x2730=(cj0*px);
+IkReal x2731=((0.175)*cj2);
+IkReal x2732=(py*sj0);
+IkReal x2733=(sj2*x2715);
+IkReal x2734=((1.0)*x2716);
+IkReal x2735=((1.0)*x2727);
+IkReal x2736=(sj2*x2716);
+IkReal x2737=(x2721*x2724);
+IkReal x2738=(x2721*x2726);
+IkReal x2739=(x2719*x2722);
+IkReal x2740=(x2717*x2728);
+IkReal x2741=(x2722*x2725);
+IkReal x2742=(x2717*x2723);
+IkReal x2743=(x2717*x2718);
+IkReal x2744=(x2720*x2721);
+evalcond[0]=((((-1.0)*pz*x2734))+((x2715*x2732))+((x2715*x2730))+(((-0.175)*sj2))+(((-1.0)*x2729))+(((-0.175)*x2715)));
+evalcond[1]=((((-1.095)*x2715))+(((-1.0)*x2715*x2731))+(((0.175)*x2736))+(((1.271)*x2733))+pz+((x2716*x2729)));
+evalcond[2]=((1.095)+x2731+(((-1.0)*x2730*x2734))+(((0.175)*x2716))+(((-1.0)*pz*x2715))+(((-1.271)*sj2))+(((-1.0)*x2732*x2734)));
+evalcond[3]=((-0.175)+x2730+x2732+(((-1.095)*x2716))+(((1.271)*x2736))+(((-1.0)*x2715*x2729))+(((-0.175)*x2733))+(((-1.0)*x2716*x2731)));
+evalcond[4]=((-2.875716)+(((-2.0)*x2725*x2739))+x2741+x2740+x2743+x2742+x2744+x2737+x2738+x2739+(((-2.0)*x2720*x2737))+(((-1.0)*x2726*x2740))+(((2.78349)*sj2))+(((-0.44485)*cj2*x2715))+(((-0.38325)*cj2))+(((-1.0)*x2722*x2726*x2735))+((x2725*x2737))+((x2723*x2741))+((x2720*x2739))+(((-0.06125)*cj2*x2716))+(((-0.06125)*x2733))+(((-1.0)*x2735*x2738))+(((-1.0)*x2735*x2740))+((x2718*x2739))+((x2723*x2737))+((x2724*x2741))+((x2724*x2742))+((x2720*x2743))+(((-1.0)*x2728*x2738))+(((-0.38325)*x2716))+((x2722*x2727))+((x2725*x2742))+(((-2.0)*x2718*x2742))+((x2719*x2744))+((x2719*x2743))+(((-1.0)*x2722*x2728*x2735))+(((0.44485)*x2736))+((x2718*x2744)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j1array[1], cj1array[1], sj1array[1];
+bool j1valid[1]={false};
+_nj1 = 1;
+IkReal x2745=cj2*cj2;
+IkReal x2746=(cj2*sj2);
+IkReal x2747=((0.175)*pz);
+IkReal x2748=((1.271)*cj2);
+IkReal x2749=(py*sj0);
+IkReal x2750=(cj0*px);
+IkReal x2751=((0.175)*sj2);
+IkReal x2752=((1.0)*pz);
+CheckValue<IkReal> x2753 = IKatan2WithCheck(IkReal(((-0.222425)+x2747+(((-1.584816)*x2746))+(((0.191625)*sj2))+(((-1.0)*x2750*x2752))+(((-1.0)*x2749*x2752))+(((1.391745)*cj2))+(((0.44485)*x2745)))),IkReal(((0.030625)+(((-1.0)*pz*x2752))+(((1.584816)*x2745))+(((0.44485)*x2746)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2753.valid){
+continue;
+}
+CheckValue<IkReal> x2754=IKPowWithIntegerCheck(IKsign((((x2749*x2751))+(((-1.095)*pz))+(((1.271)*pz*sj2))+((x2750*x2751))+(((-1.0)*cj2*x2747))+((x2748*x2749))+((x2748*x2750))+(((-0.030625)*sj2))+(((-0.222425)*cj2)))),-1);
+if(!x2754.valid){
+continue;
+}
+j1array[0]=((-1.5707963267949)+(x2753.value)+(((1.5707963267949)*(x2754.value))));
+sj1array[0]=IKsin(j1array[0]);
+cj1array[0]=IKcos(j1array[0]);
+if( j1array[0] > IKPI )
+{
+ j1array[0]-=IK2PI;
+}
+else if( j1array[0] < -IKPI )
+{ j1array[0]+=IK2PI;
+}
+j1valid[0] = true;
+for(int ij1 = 0; ij1 < 1; ++ij1)
+{
+if( !j1valid[ij1] )
+{
+ continue;
+}
+_ij1[0] = ij1; _ij1[1] = -1;
+for(int iij1 = ij1+1; iij1 < 1; ++iij1)
+{
+if( j1valid[iij1] && IKabs(cj1array[ij1]-cj1array[iij1]) < IKFAST_SOLUTION_THRESH && IKabs(sj1array[ij1]-sj1array[iij1]) < IKFAST_SOLUTION_THRESH )
+{
+ j1valid[iij1]=false; _ij1[1] = iij1; break;
+}
+}
+j1 = j1array[ij1]; cj1 = cj1array[ij1]; sj1 = sj1array[ij1];
+{
+IkReal evalcond[5];
+IkReal x2755=IKcos(j1);
+IkReal x2756=IKsin(j1);
+IkReal x2757=py*py;
+IkReal x2758=r11*r11;
+IkReal x2759=r21*r21;
+IkReal x2760=r01*r01;
+IkReal x2761=px*px;
+IkReal x2762=pz*pz;
+IkReal x2763=r10*r10;
+IkReal x2764=r00*r00;
+IkReal x2765=r20*r20;
+IkReal x2766=r02*r02;
+IkReal x2767=r22*r22;
+IkReal x2768=r12*r12;
+IkReal x2769=((1.271)*cj2);
+IkReal x2770=(cj0*px);
+IkReal x2771=((0.175)*cj2);
+IkReal x2772=(py*sj0);
+IkReal x2773=(sj2*x2755);
+IkReal x2774=((1.0)*x2756);
+IkReal x2775=((1.0)*x2767);
+IkReal x2776=(sj2*x2756);
+IkReal x2777=(x2761*x2764);
+IkReal x2778=(x2761*x2766);
+IkReal x2779=(x2759*x2762);
+IkReal x2780=(x2757*x2768);
+IkReal x2781=(x2762*x2765);
+IkReal x2782=(x2757*x2763);
+IkReal x2783=(x2757*x2758);
+IkReal x2784=(x2760*x2761);
+evalcond[0]=((((-0.175)*x2755))+(((-0.175)*sj2))+(((-1.0)*pz*x2774))+((x2755*x2770))+((x2755*x2772))+(((-1.0)*x2769)));
+evalcond[1]=(((x2756*x2769))+(((0.175)*x2776))+(((-1.095)*x2755))+pz+(((1.271)*x2773))+(((-1.0)*x2755*x2771)));
+evalcond[2]=((1.095)+x2771+(((-1.0)*pz*x2755))+(((-1.0)*x2770*x2774))+(((-1.0)*x2772*x2774))+(((0.175)*x2756))+(((-1.271)*sj2)));
+evalcond[3]=((-0.175)+x2770+x2772+(((-1.0)*x2755*x2769))+(((-1.0)*x2756*x2771))+(((-1.095)*x2756))+(((1.271)*x2776))+(((-0.175)*x2773)));
+evalcond[4]=((-2.875716)+((x2758*x2779))+x2778+x2779+x2777+x2784+x2781+x2780+x2783+x2782+((x2763*x2777))+(((-1.0)*x2766*x2780))+(((-1.0)*x2762*x2768*x2775))+(((-0.06125)*cj2*x2756))+(((-1.0)*x2762*x2766*x2775))+((x2765*x2782))+(((-2.0)*x2760*x2777))+((x2764*x2782))+((x2764*x2781))+(((2.78349)*sj2))+(((-0.06125)*x2773))+((x2760*x2783))+(((-0.38325)*cj2))+(((-1.0)*x2768*x2778))+((x2762*x2767))+((x2759*x2783))+((x2759*x2784))+(((-0.38325)*x2756))+((x2763*x2781))+((x2758*x2784))+(((-2.0)*x2758*x2782))+(((-1.0)*x2775*x2778))+(((-0.44485)*cj2*x2755))+(((-2.0)*x2765*x2779))+(((0.44485)*x2776))+((x2765*x2777))+((x2760*x2779))+(((-1.0)*x2775*x2780)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+rotationfunction0(solutions);
+}
+}
+
+}
+
+}
+}
+}
+}
+}
+
+}
+
+}
+}
+return solutions.GetNumSolutions()>0;
+}
+inline void rotationfunction0(IkSolutionListBase<IkReal>& solutions) {
+for(int rotationiter = 0; rotationiter < 1; ++rotationiter) {
+IkReal x154=((1.0)*cj1);
+IkReal x155=((1.0)*sj1);
+IkReal x156=((1.0)*sj0);
+IkReal x157=((1.0)*sj2);
+IkReal x158=(((r10*sj0))+((cj0*r00)));
+IkReal x159=(((r11*sj0))+((cj0*r01)));
+IkReal x160=(((r12*sj0))+((cj0*r02)));
+IkReal x161=((((-1.0)*r20*x155))+((cj1*x158)));
+IkReal x162=(((cj1*x159))+(((-1.0)*r21*x155)));
+IkReal x163=(((cj1*x160))+(((-1.0)*r22*x155)));
+IkReal x164=((((-1.0)*x155*x158))+(((-1.0)*r20*x154)));
+IkReal x165=((((-1.0)*x155*x159))+(((-1.0)*r21*x154)));
+IkReal x166=((((-1.0)*x155*x160))+(((-1.0)*r22*x154)));
+new_r00=((((-1.0)*x157*x161))+((cj2*x164)));
+new_r01=((((-1.0)*r00*x156))+((cj0*r10)));
+new_r02=(((cj2*x161))+((sj2*x164)));
+new_r10=((((-1.0)*x157*x162))+((cj2*x165)));
+new_r11=((((-1.0)*r01*x156))+((cj0*r11)));
+new_r12=(((cj2*x162))+((sj2*x165)));
+new_r20=((((-1.0)*x157*x163))+((cj2*x166)));
+new_r21=((((-1.0)*r02*x156))+((cj0*r12)));
+new_r22=(((cj2*x163))+((sj2*x166)));
+{
+IkReal j4array[2], cj4array[2], sj4array[2];
+bool j4valid[2]={false};
+_nj4 = 2;
+if( (new_r22) < -1-IKFAST_SINCOS_THRESH || (new_r22) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+IkReal x167=IKasin(new_r22);
+j4array[0]=((1.57083632679488)+(((-1.0)*x167)));
+sj4array[0]=IKsin(j4array[0]);
+cj4array[0]=IKcos(j4array[0]);
+j4array[1]=((4.71242898038467)+x167);
+sj4array[1]=IKsin(j4array[1]);
+cj4array[1]=IKcos(j4array[1]);
+if( j4array[0] > IKPI )
+{
+ j4array[0]-=IK2PI;
+}
+else if( j4array[0] < -IKPI )
+{ j4array[0]+=IK2PI;
+}
+j4valid[0] = true;
+if( j4array[1] > IKPI )
+{
+ j4array[1]-=IK2PI;
+}
+else if( j4array[1] < -IKPI )
+{ j4array[1]+=IK2PI;
+}
+j4valid[1] = true;
+for(int ij4 = 0; ij4 < 2; ++ij4)
+{
+if( !j4valid[ij4] )
+{
+ continue;
+}
+_ij4[0] = ij4; _ij4[1] = -1;
+for(int iij4 = ij4+1; iij4 < 2; ++iij4)
+{
+if( j4valid[iij4] && IKabs(cj4array[ij4]-cj4array[iij4]) < IKFAST_SOLUTION_THRESH && IKabs(sj4array[ij4]-sj4array[iij4]) < IKFAST_SOLUTION_THRESH )
+{
+ j4valid[iij4]=false; _ij4[1] = iij4; break;
+}
+}
+j4 = j4array[ij4]; cj4 = cj4array[ij4]; sj4 = sj4array[ij4];
+
+{
+IkReal j5eval[3];
+j5eval[0]=((((25000.0)*sj4))+(((-1.0)*cj4)));
+j5eval[1]=((IKabs(new_r12))+(IKabs(new_r02)));
+j5eval[2]=IKsign(((((-3.9999999968e-5)*cj4))+(((0.9999999992)*sj4))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j3eval[3];
+j3eval[0]=((((-25000.0)*sj4))+cj4);
+j3eval[1]=IKsign(((((-0.9999999992)*sj4))+(((3.9999999968e-5)*cj4))));
+j3eval[2]=((IKabs(new_r20))+(IKabs(new_r21)));
+if( IKabs(j3eval[0]) < 0.0000010000000000 || IKabs(j3eval[1]) < 0.0000010000000000 || IKabs(j3eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+IkReal x168=((625000000.5)*sj4);
+IkReal x169=((25000.00002)*cj4);
+IkReal x170=((new_r12*new_r12)+(new_r02*new_r02));
+j5eval[0]=x170;
+j5eval[1]=((IKabs((((new_r12*x168))+(((-1.0)*new_r12*x169)))))+(IKabs(((((-1.0)*new_r02*x168))+((new_r02*x169))))));
+j5eval[2]=IKsign(x170);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((new_r12*new_r12)+(new_r02*new_r02));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r12=0;
+new_r02=0;
+j5eval[0]=IKabs(((((-25000.0)*sj4))+cj4));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+{
+IkReal j5eval[1];
+new_r12=0;
+new_r02=0;
+j5eval[0]=IKabs(((((-0.9999999992)*sj4))+(((3.9999999968e-5)*cj4))));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j3, j5]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+IkReal x171=((0.9999999992)*sj4);
+IkReal x172=((3.9999999968e-5)*cj4);
+op[0]=((((-1.0)*x171))+x172);
+op[1]=0;
+op[2]=((((-1.0)*x172))+x171);
+polyroots2(op,zeror,numroots);
+IkReal j5array[2], cj5array[2], sj5array[2], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[2]={true,true};
+_nj5 = 2;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[10];
+IkReal x173=IKsin(j3);
+IkReal x174=IKcos(j3);
+IkReal x175=(cj5*new_r01);
+IkReal x176=((25000.00002)*sj4);
+IkReal x177=(cj5*new_r00);
+IkReal x178=((1.0)*sj5);
+IkReal x179=((1.0)*x174);
+IkReal x180=(sj5*x173);
+IkReal x181=(cj5*x174);
+IkReal x182=(cj5*x173);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x173);
+evalcond[1]=((((-1.0)*x179))+((cj5*new_r11))+((new_r01*sj5)));
+evalcond[2]=(x182+((sj5*x174*x176))+new_r10);
+evalcond[3]=((((-1.0)*x174*x176))+(((-1.0)*new_r10*x178))+x177);
+evalcond[4]=((((-1.0)*new_r11*x178))+x175+(((-1.0)*x173*x176)));
+evalcond[5]=(x180+(((-1.0)*x176*x181))+new_r00);
+evalcond[6]=((((-1.0)*cj5*x179))+((x176*x180))+new_r11);
+evalcond[7]=((((-1.0)*x174*x178))+(((-1.0)*x176*x182))+new_r01);
+evalcond[8]=(((x176*x177))+(((-1.0)*x179))+(((-1.0)*new_r10*sj5*x176)));
+evalcond[9]=((((-1.0)*new_r11*sj5*x176))+(((-1.0)*x173))+((x175*x176)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+ }
+
+}
+
+}
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+IkReal x183=((25000.0)*sj4);
+op[0]=(cj4+(((-1.0)*x183)));
+op[1]=0;
+op[2]=(x183+(((-1.0)*cj4)));
+polyroots2(op,zeror,numroots);
+IkReal j5array[2], cj5array[2], sj5array[2], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[2]={true,true};
+_nj5 = 2;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[10];
+IkReal x184=IKsin(j3);
+IkReal x185=IKcos(j3);
+IkReal x186=(cj5*new_r01);
+IkReal x187=((25000.00002)*sj4);
+IkReal x188=(cj5*new_r00);
+IkReal x189=((1.0)*sj5);
+IkReal x190=((1.0)*x185);
+IkReal x191=(sj5*x184);
+IkReal x192=(cj5*x185);
+IkReal x193=(cj5*x184);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x184);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x190)));
+evalcond[2]=(x193+new_r10+((sj5*x185*x187)));
+evalcond[3]=(x188+(((-1.0)*new_r10*x189))+(((-1.0)*x185*x187)));
+evalcond[4]=(x186+(((-1.0)*new_r11*x189))+(((-1.0)*x184*x187)));
+evalcond[5]=(x191+(((-1.0)*x187*x192))+new_r00);
+evalcond[6]=(((x187*x191))+(((-1.0)*cj5*x190))+new_r11);
+evalcond[7]=((((-1.0)*x187*x193))+(((-1.0)*x185*x189))+new_r01);
+evalcond[8]=((((-1.0)*new_r10*sj5*x187))+((x187*x188))+(((-1.0)*x190)));
+evalcond[9]=(((x186*x187))+(((-1.0)*x184))+(((-1.0)*new_r11*sj5*x187)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((3.14155265358981)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=-3.14155264453703;
+j5eval[0]=((((5.12e-8)*(IKabs(new_r10))))+(IKabs(((((8.0000000064)*new_r11))+(((8.0)*new_r00)))))+(IKabs(((((16.0000000128)*new_r11))+(((16.0000000512)*new_r00)))))+(IKabs(((((-8.0000000064)*new_r10))+(((8.0)*new_r01)))))+(((2.0)*(IKabs(((((16.0000000128)*new_r00))+(((16.0)*new_r11))))))));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j3, j5]
+
+} else
+{
+IkReal op[4+1], zeror[4];
+int numroots;
+IkReal j5evalpoly[1];
+IkReal x194=((((8.0000000064)*new_r11))+(((8.0)*new_r00)));
+op[0]=x194;
+op[1]=((-2.56e-8)*new_r10);
+op[2]=((((16.0000000128)*new_r11))+(((16.0000000512)*new_r00)));
+op[3]=((2.56e-8)*new_r10);
+op[4]=x194;
+polyroots4(op,zeror,numroots);
+IkReal j5array[4], cj5array[4], sj5array[4], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[4]={true,true,true,true};
+_nj5 = 4;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+IkReal x195=((8.0000000064)*new_r10);
+IkReal x196=((8.0)*new_r01);
+IkReal x197=((((16.0000000128)*new_r00))+(((16.0)*new_r11)));
+j5evalpoly[0]=((((htj5*htj5*htj5*htj5)*(((((-1.0)*x195))+x196))))+(((-1.0)*x196))+x195+((htj5*x197))+((x197*(htj5*htj5*htj5))));
+if( IKabs(j5evalpoly[0]) > 0.0000001000000000 )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[10];
+IkReal x198=IKcos(j3);
+IkReal x199=IKsin(j3);
+IkReal x200=((1.0000000008)*sj5);
+IkReal x201=(cj5*new_r01);
+IkReal x202=((1.0)*sj5);
+IkReal x203=(cj5*new_r00);
+IkReal x204=((1.0)*x198);
+IkReal x205=((1.0000000008)*x199);
+IkReal x206=((1.0000000008)*x198);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x199);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x204)));
+evalcond[2]=(x206+x203+(((-1.0)*new_r10*x202)));
+evalcond[3]=(x205+x201+(((-1.0)*new_r11*x202)));
+evalcond[4]=(((cj5*x206))+new_r00+((sj5*x199)));
+evalcond[5]=(((cj5*x199))+(((-1.0)*x198*x200))+new_r10);
+evalcond[6]=(((cj5*x205))+(((-1.0)*x198*x202))+new_r01);
+evalcond[7]=((((-1.0)*cj5*x204))+(((-1.0)*x199*x200))+new_r11);
+evalcond[8]=(((new_r10*x200))+(((-1.0000000008)*x203))+(((-1.0)*x204)));
+evalcond[9]=(((new_r11*x200))+(((-1.0)*x199))+(((-1.0000000008)*x201)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.99999999786682e-5)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+j5eval[0]=((((5.12e-8)*(IKabs(new_r10))))+(IKabs(((((8.0000000064)*new_r10))+(((8.0)*new_r01)))))+(((2.0)*(IKabs(((((-16.0000000128)*new_r00))+(((16.0)*new_r11)))))))+(IKabs(((((-8.0000000064)*new_r11))+(((8.0)*new_r00)))))+(IKabs(((((16.0000000512)*new_r00))+(((-16.0000000128)*new_r11))))));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j3, j5]
+
+} else
+{
+IkReal op[4+1], zeror[4];
+int numroots;
+IkReal j5evalpoly[1];
+IkReal x207=((((-8.0000000064)*new_r11))+(((8.0)*new_r00)));
+op[0]=x207;
+op[1]=((-2.56e-8)*new_r10);
+op[2]=((((16.0000000512)*new_r00))+(((-16.0000000128)*new_r11)));
+op[3]=((2.56e-8)*new_r10);
+op[4]=x207;
+polyroots4(op,zeror,numroots);
+IkReal j5array[4], cj5array[4], sj5array[4], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[4]={true,true,true,true};
+_nj5 = 4;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+IkReal x208=((((-16.0000000128)*new_r00))+(((16.0)*new_r11)));
+IkReal x209=((((8.0000000064)*new_r10))+(((8.0)*new_r01)));
+j5evalpoly[0]=(((x208*(htj5*htj5*htj5)))+((htj5*x208))+(((-1.0)*x209))+((x209*(htj5*htj5*htj5*htj5))));
+if( IKabs(j5evalpoly[0]) > 0.0000001000000000 )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[10];
+IkReal x210=IKcos(j3);
+IkReal x211=IKsin(j3);
+IkReal x212=((1.0000000008)*sj5);
+IkReal x213=(cj5*new_r01);
+IkReal x214=((1.0)*sj5);
+IkReal x215=(cj5*new_r00);
+IkReal x216=((1.0)*x210);
+IkReal x217=((1.0000000008)*x211);
+IkReal x218=((1.0000000008)*x210);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x211);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x216)));
+evalcond[2]=((((-1.0)*new_r10*x214))+x215+(((-1.0)*x218)));
+evalcond[3]=((((-1.0)*new_r11*x214))+x213+(((-1.0)*x217)));
+evalcond[4]=(((sj5*x211))+(((-1.0)*cj5*x218))+new_r00);
+evalcond[5]=(((x210*x212))+((cj5*x211))+new_r10);
+evalcond[6]=((((-1.0)*x210*x214))+(((-1.0)*cj5*x217))+new_r01);
+evalcond[7]=(((x211*x212))+(((-1.0)*cj5*x216))+new_r11);
+evalcond[8]=((((1.0000000008)*x215))+(((-1.0)*new_r10*x212))+(((-1.0)*x216)));
+evalcond[9]=((((1.0000000008)*x213))+(((-1.0)*new_r11*x212))+(((-1.0)*x211)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.99999999786667e-5)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+j5eval[0]=((((5.12e-8)*(IKabs(new_r10))))+(IKabs(((((8.0000000064)*new_r10))+(((8.0)*new_r01)))))+(((2.0)*(IKabs(((((-16.0000000128)*new_r00))+(((16.0)*new_r11)))))))+(IKabs(((((-8.0000000064)*new_r11))+(((8.0)*new_r00)))))+(IKabs(((((16.0000000512)*new_r00))+(((-16.0000000128)*new_r11))))));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j3, j5]
+
+} else
+{
+IkReal op[4+1], zeror[4];
+int numroots;
+IkReal j5evalpoly[1];
+IkReal x219=((((-8.0000000064)*new_r11))+(((8.0)*new_r00)));
+op[0]=x219;
+op[1]=((-2.56e-8)*new_r10);
+op[2]=((((16.0000000512)*new_r00))+(((-16.0000000128)*new_r11)));
+op[3]=((2.56e-8)*new_r10);
+op[4]=x219;
+polyroots4(op,zeror,numroots);
+IkReal j5array[4], cj5array[4], sj5array[4], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[4]={true,true,true,true};
+_nj5 = 4;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+IkReal x220=((((-16.0000000128)*new_r00))+(((16.0)*new_r11)));
+IkReal x221=((((8.0000000064)*new_r10))+(((8.0)*new_r01)));
+j5evalpoly[0]=(((x220*(htj5*htj5*htj5)))+((x221*(htj5*htj5*htj5*htj5)))+(((-1.0)*x221))+((htj5*x220)));
+if( IKabs(j5evalpoly[0]) > 0.0000001000000000 )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[10];
+IkReal x222=IKcos(j3);
+IkReal x223=IKsin(j3);
+IkReal x224=((1.0000000008)*sj5);
+IkReal x225=(cj5*new_r01);
+IkReal x226=((1.0)*sj5);
+IkReal x227=(cj5*new_r00);
+IkReal x228=((1.0)*x222);
+IkReal x229=((1.0000000008)*x223);
+IkReal x230=((1.0000000008)*x222);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x223);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x228)));
+evalcond[2]=((((-1.0)*new_r10*x226))+(((-1.0)*x230))+x227);
+evalcond[3]=((((-1.0)*new_r11*x226))+x225+(((-1.0)*x229)));
+evalcond[4]=((((-1.0)*cj5*x230))+((sj5*x223))+new_r00);
+evalcond[5]=(((x222*x224))+((cj5*x223))+new_r10);
+evalcond[6]=((((-1.0)*cj5*x229))+(((-1.0)*x222*x226))+new_r01);
+evalcond[7]=((((-1.0)*cj5*x228))+((x223*x224))+new_r11);
+evalcond[8]=((((-1.0)*new_r10*x224))+(((1.0000000008)*x227))+(((-1.0)*x228)));
+evalcond[9]=((((-1.0)*new_r11*x224))+(((1.0000000008)*x225))+(((-1.0)*x223)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14163265358977)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+j5eval[0]=((((5.12e-8)*(IKabs(new_r10))))+(IKabs(((((8.0000000064)*new_r11))+(((8.0)*new_r00)))))+(IKabs(((((16.0000000128)*new_r11))+(((16.0000000512)*new_r00)))))+(IKabs(((((-8.0000000064)*new_r10))+(((8.0)*new_r01)))))+(((2.0)*(IKabs(((((16.0000000128)*new_r00))+(((16.0)*new_r11))))))));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j3, j5]
+
+} else
+{
+IkReal op[4+1], zeror[4];
+int numroots;
+IkReal j5evalpoly[1];
+IkReal x231=((((8.0000000064)*new_r11))+(((8.0)*new_r00)));
+op[0]=x231;
+op[1]=((-2.56e-8)*new_r10);
+op[2]=((((16.0000000128)*new_r11))+(((16.0000000512)*new_r00)));
+op[3]=((2.56e-8)*new_r10);
+op[4]=x231;
+polyroots4(op,zeror,numroots);
+IkReal j5array[4], cj5array[4], sj5array[4], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[4]={true,true,true,true};
+_nj5 = 4;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+IkReal x232=((8.0000000064)*new_r10);
+IkReal x233=((8.0)*new_r01);
+IkReal x234=((((16.0000000128)*new_r00))+(((16.0)*new_r11)));
+j5evalpoly[0]=((((htj5*htj5*htj5*htj5)*(((((-1.0)*x232))+x233))))+((htj5*x234))+(((-1.0)*x233))+x232+((x234*(htj5*htj5*htj5))));
+if( IKabs(j5evalpoly[0]) > 0.0000001000000000 )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[10];
+IkReal x235=IKcos(j3);
+IkReal x236=IKsin(j3);
+IkReal x237=((1.0000000008)*sj5);
+IkReal x238=(cj5*new_r01);
+IkReal x239=((1.0)*sj5);
+IkReal x240=(cj5*new_r00);
+IkReal x241=((1.0)*x235);
+IkReal x242=((1.0000000008)*x236);
+IkReal x243=((1.0000000008)*x235);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x236);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x241)));
+evalcond[2]=(x243+x240+(((-1.0)*new_r10*x239)));
+evalcond[3]=(x238+x242+(((-1.0)*new_r11*x239)));
+evalcond[4]=(((cj5*x243))+new_r00+((sj5*x236)));
+evalcond[5]=((((-1.0)*x235*x237))+((cj5*x236))+new_r10);
+evalcond[6]=((((-1.0)*x235*x239))+((cj5*x242))+new_r01);
+evalcond[7]=((((-1.0)*cj5*x241))+(((-1.0)*x236*x237))+new_r11);
+evalcond[8]=(((new_r10*x237))+(((-1.0000000008)*x240))+(((-1.0)*x241)));
+evalcond[9]=(((new_r11*x237))+(((-1.0000000008)*x238))+(((-1.0)*x236)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r12))+(IKabs(new_r02)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j3eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j3eval[0]=IKabs(((((-3.9999999968e-5)*cj4))+(((0.9999999992)*sj4))));
+if( IKabs(j3eval[0]) < 0.0000000100000000 )
+{
+{
+IkReal j5eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x244=((625000000.5)*sj4);
+IkReal x245=((25000.00002)*cj4);
+j5eval[0]=((IKabs(((((-1.0)*new_r00*x244))+((new_r00*x245)))))+(IKabs(((((-1.0)*new_r10*x245))+((new_r10*x244))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x246=((625000000.5)*sj4);
+IkReal x247=((25000.00002)*cj4);
+j5eval[0]=((IKabs(((((-1.0)*new_r01*x246))+((new_r01*x247)))))+(IKabs(((((-1.0)*new_r11*x247))+((new_r11*x246))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j3, j5]
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+IkReal x248=((3.9999999968e-5)*cj4);
+IkReal x249=((0.9999999992)*sj4);
+CheckValue<IkReal> x251 = IKatan2WithCheck(IkReal(((((-1.0)*new_r01*x249))+((new_r01*x248)))),IkReal(((((-1.0)*new_r11*x248))+((new_r11*x249)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x251.valid){
+continue;
+}
+IkReal x250=x251.value;
+j5array[0]=((-1.0)*x250);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x250)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x252=IKcos(j5);
+IkReal x253=IKsin(j5);
+IkReal x254=((0.9999999992)*sj4);
+IkReal x255=((3.9999999968e-5)*cj4);
+IkReal x256=(new_r00*x252);
+IkReal x257=(x253*x255);
+evalcond[0]=((((-1.0)*x252*x255))+((x252*x254)));
+evalcond[1]=(x257+(((-1.0)*x253*x254)));
+evalcond[2]=((((-1.0)*new_r10*x257))+(((-1.0)*x254*x256))+((new_r10*x253*x254))+((x255*x256)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[12];
+IkReal x258=IKsin(j3);
+IkReal x259=IKcos(j3);
+IkReal x260=(cj5*new_r01);
+IkReal x261=((25000.00002)*sj4);
+IkReal x262=((3.9999999968e-5)*cj4);
+IkReal x263=((0.9999999992)*sj4);
+IkReal x264=(cj5*new_r00);
+IkReal x265=((1.0)*sj5);
+IkReal x266=((1.0)*x259);
+IkReal x267=(sj5*x258);
+IkReal x268=(cj5*x259);
+IkReal x269=(cj5*x258);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x258);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x266)));
+evalcond[2]=(x269+new_r10+((sj5*x259*x261)));
+evalcond[3]=((((-1.0)*x259*x261))+x264+(((-1.0)*new_r10*x265)));
+evalcond[4]=((((-1.0)*x258*x261))+x260+(((-1.0)*new_r11*x265)));
+evalcond[5]=(x267+(((-1.0)*x261*x268))+new_r00);
+evalcond[6]=((((-1.0)*cj5*x266))+((x261*x267))+new_r11);
+evalcond[7]=((((-1.0)*x259*x265))+(((-1.0)*x261*x269))+new_r01);
+evalcond[8]=(((x259*x262))+(((-1.0)*x259*x263)));
+evalcond[9]=(((x258*x262))+(((-1.0)*x258*x263)));
+evalcond[10]=((((-1.0)*new_r10*sj5*x261))+((x261*x264))+(((-1.0)*x266)));
+evalcond[11]=(((x260*x261))+(((-1.0)*new_r11*sj5*x261))+(((-1.0)*x258)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+IkReal x270=((3.9999999968e-5)*cj4);
+IkReal x271=((0.9999999992)*sj4);
+CheckValue<IkReal> x273 = IKatan2WithCheck(IkReal(((((-1.0)*new_r00*x271))+((new_r00*x270)))),IkReal(((((-1.0)*new_r10*x270))+((new_r10*x271)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x273.valid){
+continue;
+}
+IkReal x272=x273.value;
+j5array[0]=((-1.0)*x272);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x272)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[3];
+IkReal x274=IKcos(j5);
+IkReal x275=IKsin(j5);
+IkReal x276=((0.9999999992)*sj4);
+IkReal x277=((3.9999999968e-5)*cj4);
+IkReal x278=(new_r11*x275);
+IkReal x279=(new_r01*x274);
+evalcond[0]=((((-1.0)*x274*x277))+((x274*x276)));
+evalcond[1]=(((x275*x277))+(((-1.0)*x275*x276)));
+evalcond[2]=((((-1.0)*x277*x278))+((x277*x279))+((x276*x278))+(((-1.0)*x276*x279)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[12];
+IkReal x280=IKsin(j3);
+IkReal x281=IKcos(j3);
+IkReal x282=(cj5*new_r01);
+IkReal x283=((25000.00002)*sj4);
+IkReal x284=((3.9999999968e-5)*cj4);
+IkReal x285=((0.9999999992)*sj4);
+IkReal x286=(cj5*new_r00);
+IkReal x287=((1.0)*sj5);
+IkReal x288=((1.0)*x281);
+IkReal x289=(sj5*x280);
+IkReal x290=(cj5*x281);
+IkReal x291=(cj5*x280);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x280);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x288)));
+evalcond[2]=(x291+((sj5*x281*x283))+new_r10);
+evalcond[3]=((((-1.0)*x281*x283))+x286+(((-1.0)*new_r10*x287)));
+evalcond[4]=((((-1.0)*x280*x283))+x282+(((-1.0)*new_r11*x287)));
+evalcond[5]=(x289+(((-1.0)*x283*x290))+new_r00);
+evalcond[6]=((((-1.0)*cj5*x288))+new_r11+((x283*x289)));
+evalcond[7]=((((-1.0)*x281*x287))+(((-1.0)*x283*x291))+new_r01);
+evalcond[8]=((((-1.0)*x281*x285))+((x281*x284)));
+evalcond[9]=((((-1.0)*x280*x285))+((x280*x284)));
+evalcond[10]=((((-1.0)*new_r10*sj5*x283))+(((-1.0)*x288))+((x283*x286)));
+evalcond[11]=((((-1.0)*x280))+(((-1.0)*new_r11*sj5*x283))+((x282*x283)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+IkReal x292=((3.9999999968e-5)*cj4);
+IkReal x293=((0.9999999992)*sj4);
+op[0]=((((-1.0)*x292))+x293);
+op[1]=0;
+op[2]=((((-1.0)*x293))+x292);
+polyroots2(op,zeror,numroots);
+IkReal j3array[2], cj3array[2], sj3array[2], tempj3array[1];
+int numsolutions = 0;
+for(int ij3 = 0; ij3 < numroots; ++ij3)
+{
+IkReal htj3 = zeror[ij3];
+tempj3array[0]=((2.0)*(atan(htj3)));
+for(int kj3 = 0; kj3 < 1; ++kj3)
+{
+j3array[numsolutions] = tempj3array[kj3];
+if( j3array[numsolutions] > IKPI )
+{
+ j3array[numsolutions]-=IK2PI;
+}
+else if( j3array[numsolutions] < -IKPI )
+{
+ j3array[numsolutions]+=IK2PI;
+}
+sj3array[numsolutions] = IKsin(j3array[numsolutions]);
+cj3array[numsolutions] = IKcos(j3array[numsolutions]);
+numsolutions++;
+}
+}
+bool j3valid[2]={true,true};
+_nj3 = 2;
+for(int ij3 = 0; ij3 < numsolutions; ++ij3)
+ {
+if( !j3valid[ij3] )
+{
+ continue;
+}
+ j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+htj3 = IKtan(j3/2);
+
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < numsolutions; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+{
+IkReal j5eval[3];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x294=((1.0)*new_r00);
+IkReal x295=((((-1.0)*new_r11*x294))+((new_r01*new_r10)));
+j5eval[0]=x295;
+j5eval[1]=IKsign(x295);
+j5eval[2]=((IKabs((((new_r11*sj3))+((cj3*new_r10)))))+(IKabs(((((-1.0)*new_r01*sj3))+(((-1.0)*cj3*x294))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+IkReal x296=cj3*cj3;
+IkReal x297=new_r00*new_r00;
+IkReal x298=cj4*cj4;
+IkReal x299=((625000001.0)*x296*x298);
+j5eval[0]=((((-1.0)*x297*x299))+x299+x297+(((-625000001.0)*x296))+(((625000000.0)*x296*x297)));
+j5eval[1]=((((-25000.00002)*cj3*new_r10*sj4))+((new_r00*sj3)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j5eval[0]=(((new_r10*sj3))+(((25000.00002)*cj3*new_r00*sj4)));
+j5eval[1]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[3];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(((-3.14159265358979)+(IKfmod(((3.14159265358979)+j4), 6.28318530717959)))))+(IKabs(((-3.14159265358979)+(IKfmod(((3.14159265358979)+j3), 6.28318530717959))))));
+evalcond[1]=new_r00;
+evalcond[2]=new_r10;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(new_r01) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r11) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r01)+IKsqr(new_r11)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(new_r01, new_r11);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x300=IKcos(j5);
+IkReal x301=IKsin(j5);
+IkReal x302=(new_r01*x300);
+IkReal x303=((3.9999999968e-5)*x301);
+IkReal x304=((1.0)*x301);
+evalcond[0]=(new_r01+(((-1.0)*x304)));
+evalcond[1]=((((-1.0)*x300))+new_r11);
+evalcond[2]=((-3.9999999968e-5)*x300);
+evalcond[3]=x303;
+evalcond[4]=((-1.0)+((new_r01*x301))+((new_r11*x300)));
+evalcond[5]=(x302+(((-1.0)*new_r11*x304)));
+evalcond[6]=((((3.9999999968e-5)*x302))+(((-1.0)*new_r11*x303)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(((-3.14159265358979)+(IKfmod(j3, 6.28318530717959)))))+(IKabs(((-3.14159265358979)+(IKfmod(((3.14159265358979)+j4), 6.28318530717959))))));
+evalcond[1]=new_r00;
+evalcond[2]=new_r10;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((-1.0)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r01))+IKsqr(((-1.0)*new_r11))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*new_r01), ((-1.0)*new_r11));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x305=IKcos(j5);
+IkReal x306=IKsin(j5);
+IkReal x307=(new_r01*x305);
+IkReal x308=((3.9999999968e-5)*x306);
+evalcond[0]=(x306+new_r01);
+evalcond[1]=(x305+new_r11);
+evalcond[2]=((-3.9999999968e-5)*x305);
+evalcond[3]=x308;
+evalcond[4]=((1.0)+((new_r01*x306))+((new_r11*x305)));
+evalcond[5]=(x307+(((-1.0)*new_r11*x306)));
+evalcond[6]=((((3.9999999968e-5)*x307))+(((-1.0)*new_r11*x308)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(((-3.14159265358979)+(IKfmod(j4, 6.28318530717959)))))+(IKabs(((-3.14159265358979)+(IKfmod(((3.14159265358979)+j3), 6.28318530717959))))));
+evalcond[1]=new_r00;
+evalcond[2]=new_r10;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(new_r01) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r11) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r01)+IKsqr(new_r11)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(new_r01, new_r11);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x309=IKcos(j5);
+IkReal x310=IKsin(j5);
+IkReal x311=((3.9999999968e-5)*x309);
+IkReal x312=(new_r11*x310);
+evalcond[0]=((((-1.0)*x310))+new_r01);
+evalcond[1]=((((-1.0)*x309))+new_r11);
+evalcond[2]=x311;
+evalcond[3]=((-3.9999999968e-5)*x310);
+evalcond[4]=((-1.0)+((new_r11*x309))+((new_r01*x310)));
+evalcond[5]=(((new_r01*x309))+(((-1.0)*x312)));
+evalcond[6]=((((3.9999999968e-5)*x312))+(((-1.0)*new_r01*x311)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(((-3.14159265358979)+(IKfmod(j3, 6.28318530717959)))))+(IKabs(((-3.14159265358979)+(IKfmod(j4, 6.28318530717959))))));
+evalcond[1]=new_r00;
+evalcond[2]=new_r10;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((-1.0)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r01))+IKsqr(((-1.0)*new_r11))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*new_r01), ((-1.0)*new_r11));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x313=IKcos(j5);
+IkReal x314=IKsin(j5);
+IkReal x315=((3.9999999968e-5)*x313);
+IkReal x316=(new_r11*x314);
+evalcond[0]=(x314+new_r01);
+evalcond[1]=(x313+new_r11);
+evalcond[2]=x315;
+evalcond[3]=((-3.9999999968e-5)*x314);
+evalcond[4]=((1.0)+((new_r01*x314))+((new_r11*x313)));
+evalcond[5]=(((new_r01*x313))+(((-1.0)*x316)));
+evalcond[6]=((((3.9999999968e-5)*x316))+(((-1.0)*new_r01*x315)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x321=IKPowWithIntegerCheck(new_r00,-1);
+if(!x321.valid){
+continue;
+}
+IkReal x317=x321.value;
+IkReal x318=cj3*cj3;
+CheckValue<IkReal> x322=IKPowWithIntegerCheck((((new_r10*sj3))+(((25000.00002)*cj3*new_r00*sj4))),-1);
+if(!x322.valid){
+continue;
+}
+IkReal x319=x322.value;
+IkReal x320=((1.0)*new_r10*x319);
+CheckValue<IkReal> x323=IKPowWithIntegerCheck(x317,-2);
+if(!x323.valid){
+continue;
+}
+if( IKabs(((((-1.0)*x317*x318*x320))+(((-1.0)*new_r00*x320))+(((-1.0)*sj3*x317))+((new_r10*x317*x319)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x319*(((-1.0)+x318+(x323.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x317*x318*x320))+(((-1.0)*new_r00*x320))+(((-1.0)*sj3*x317))+((new_r10*x317*x319))))+IKsqr((x319*(((-1.0)+x318+(x323.value)))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x317*x318*x320))+(((-1.0)*new_r00*x320))+(((-1.0)*sj3*x317))+((new_r10*x317*x319))), (x319*(((-1.0)+x318+(x323.value)))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[14];
+IkReal x324=IKcos(j5);
+IkReal x325=IKsin(j5);
+IkReal x326=((1.0)*cj3);
+IkReal x327=((25000.00002)*sj4);
+IkReal x328=((3.9999999968e-5)*cj4);
+IkReal x329=((0.9999999992)*sj4);
+IkReal x330=(new_r11*x325);
+IkReal x331=(new_r01*x324);
+IkReal x332=(new_r00*x324);
+IkReal x333=(sj3*x325);
+IkReal x334=(new_r10*x325);
+IkReal x335=(sj3*x324);
+evalcond[0]=(((new_r00*x325))+sj3+((new_r10*x324)));
+evalcond[1]=(((new_r01*x325))+(((-1.0)*x326))+((new_r11*x324)));
+evalcond[2]=(((cj3*x325*x327))+x335+new_r10);
+evalcond[3]=((((-1.0)*cj3*x324*x327))+x333+new_r00);
+evalcond[4]=(((x327*x333))+new_r11+(((-1.0)*x324*x326)));
+evalcond[5]=((((-1.0)*x325*x326))+new_r01+(((-1.0)*x327*x335)));
+evalcond[6]=(((x324*x329))+(((-1.0)*x324*x328)));
+evalcond[7]=(((x325*x328))+(((-1.0)*x325*x329)));
+evalcond[8]=((((-1.0)*cj3*x327))+x332+(((-1.0)*x334)));
+evalcond[9]=(x331+(((-1.0)*x330))+(((-1.0)*sj3*x327)));
+evalcond[10]=((((-1.0)*x326))+((x327*x332))+(((-1.0)*x327*x334)));
+evalcond[11]=((((-1.0)*sj3))+((x327*x331))+(((-1.0)*x327*x330)));
+evalcond[12]=((((-1.0)*x329*x332))+(((-1.0)*x328*x334))+((x329*x334))+((x328*x332)));
+evalcond[13]=((((-1.0)*x329*x331))+(((-1.0)*x328*x330))+((x329*x330))+((x328*x331)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x336=new_r10*new_r10;
+IkReal x337=cj3*cj3;
+IkReal x338=new_r00*new_r00;
+IkReal x339=(new_r00*sj3);
+IkReal x340=((1.0)*new_r00);
+IkReal x341=((25000.00002)*cj3*sj4);
+IkReal x342=(new_r10*x341);
+IkReal x343=((625000001.0)*x336*x337);
+CheckValue<IkReal> x344=IKPowWithIntegerCheck((x338+(((-1.0)*x337*x338))+(((-1.0)*x343))+((x343*(cj4*cj4)))),-1);
+if(!x344.valid){
+continue;
+}
+CheckValue<IkReal> x345=IKPowWithIntegerCheck((x339+(((-1.0)*x342))),-1);
+if(!x345.valid){
+continue;
+}
+if( IKabs(((x344.value)*((((x342*(new_r10*new_r10)))+(((-1.0)*x339*(sj3*sj3)))+((x336*x339))+(((-1.0)*x342))+((x342*(cj3*cj3))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x345.value)*(((((-1.0)*new_r10*x340))+((sj3*x341)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x344.value)*((((x342*(new_r10*new_r10)))+(((-1.0)*x339*(sj3*sj3)))+((x336*x339))+(((-1.0)*x342))+((x342*(cj3*cj3)))))))+IKsqr(((x345.value)*(((((-1.0)*new_r10*x340))+((sj3*x341))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x344.value)*((((x342*(new_r10*new_r10)))+(((-1.0)*x339*(sj3*sj3)))+((x336*x339))+(((-1.0)*x342))+((x342*(cj3*cj3)))))), ((x345.value)*(((((-1.0)*new_r10*x340))+((sj3*x341))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[14];
+IkReal x346=IKcos(j5);
+IkReal x347=IKsin(j5);
+IkReal x348=((1.0)*cj3);
+IkReal x349=((25000.00002)*sj4);
+IkReal x350=((3.9999999968e-5)*cj4);
+IkReal x351=((0.9999999992)*sj4);
+IkReal x352=(new_r11*x347);
+IkReal x353=(new_r01*x346);
+IkReal x354=(new_r00*x346);
+IkReal x355=(sj3*x347);
+IkReal x356=(new_r10*x347);
+IkReal x357=(sj3*x346);
+evalcond[0]=(sj3+((new_r00*x347))+((new_r10*x346)));
+evalcond[1]=(((new_r11*x346))+((new_r01*x347))+(((-1.0)*x348)));
+evalcond[2]=(x357+new_r10+((cj3*x347*x349)));
+evalcond[3]=((((-1.0)*cj3*x346*x349))+x355+new_r00);
+evalcond[4]=(((x349*x355))+(((-1.0)*x346*x348))+new_r11);
+evalcond[5]=((((-1.0)*x349*x357))+(((-1.0)*x347*x348))+new_r01);
+evalcond[6]=(((x346*x351))+(((-1.0)*x346*x350)));
+evalcond[7]=(((x347*x350))+(((-1.0)*x347*x351)));
+evalcond[8]=((((-1.0)*cj3*x349))+(((-1.0)*x356))+x354);
+evalcond[9]=((((-1.0)*x352))+x353+(((-1.0)*sj3*x349)));
+evalcond[10]=((((-1.0)*x349*x356))+((x349*x354))+(((-1.0)*x348)));
+evalcond[11]=((((-1.0)*sj3))+(((-1.0)*x349*x352))+((x349*x353)));
+evalcond[12]=(((x351*x356))+((x350*x354))+(((-1.0)*x351*x354))+(((-1.0)*x350*x356)));
+evalcond[13]=(((x351*x352))+((x350*x353))+(((-1.0)*x351*x353))+(((-1.0)*x350*x352)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x358=((1.0)*new_r00);
+CheckValue<IkReal> x359 = IKatan2WithCheck(IkReal((((new_r11*sj3))+((cj3*new_r10)))),IkReal(((((-1.0)*new_r01*sj3))+(((-1.0)*cj3*x358)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x359.valid){
+continue;
+}
+CheckValue<IkReal> x360=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r11*x358)))),-1);
+if(!x360.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x359.value)+(((1.5707963267949)*(x360.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[14];
+IkReal x361=IKcos(j5);
+IkReal x362=IKsin(j5);
+IkReal x363=((1.0)*cj3);
+IkReal x364=((25000.00002)*sj4);
+IkReal x365=((3.9999999968e-5)*cj4);
+IkReal x366=((0.9999999992)*sj4);
+IkReal x367=(new_r11*x362);
+IkReal x368=(new_r01*x361);
+IkReal x369=(new_r00*x361);
+IkReal x370=(sj3*x362);
+IkReal x371=(new_r10*x362);
+IkReal x372=(sj3*x361);
+evalcond[0]=(sj3+((new_r00*x362))+((new_r10*x361)));
+evalcond[1]=((((-1.0)*x363))+((new_r01*x362))+((new_r11*x361)));
+evalcond[2]=(((cj3*x362*x364))+x372+new_r10);
+evalcond[3]=(x370+(((-1.0)*cj3*x361*x364))+new_r00);
+evalcond[4]=((((-1.0)*x361*x363))+((x364*x370))+new_r11);
+evalcond[5]=((((-1.0)*x362*x363))+new_r01+(((-1.0)*x364*x372)));
+evalcond[6]=(((x361*x366))+(((-1.0)*x361*x365)));
+evalcond[7]=((((-1.0)*x362*x366))+((x362*x365)));
+evalcond[8]=((((-1.0)*x371))+x369+(((-1.0)*cj3*x364)));
+evalcond[9]=((((-1.0)*x367))+(((-1.0)*sj3*x364))+x368);
+evalcond[10]=(((x364*x369))+(((-1.0)*x363))+(((-1.0)*x364*x371)));
+evalcond[11]=((((-1.0)*sj3))+((x364*x368))+(((-1.0)*x364*x367)));
+evalcond[12]=(((x365*x369))+((x366*x371))+(((-1.0)*x366*x369))+(((-1.0)*x365*x371)));
+evalcond[13]=(((x366*x367))+((x365*x368))+(((-1.0)*x366*x368))+(((-1.0)*x365*x367)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j3, j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x373=((0.9999999992)*sj4);
+IkReal x374=((3.9999999968e-5)*cj4);
+CheckValue<IkReal> x375=IKPowWithIntegerCheck(IKsign(((new_r12*new_r12)+(new_r02*new_r02))),-1);
+if(!x375.valid){
+continue;
+}
+CheckValue<IkReal> x376 = IKatan2WithCheck(IkReal((((new_r12*x373))+(((-1.0)*new_r12*x374)))),IkReal((((new_r02*x374))+(((-1.0)*new_r02*x373)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x376.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x375.value)))+(x376.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[8];
+IkReal x377=IKcos(j5);
+IkReal x378=IKsin(j5);
+IkReal x379=((0.9999999992)*cj4);
+IkReal x380=((3.9999999968e-5)*cj4);
+IkReal x381=((0.9999999992)*sj4);
+IkReal x382=((3.9999999968e-5)*sj4);
+IkReal x383=(new_r12*x378);
+IkReal x384=(new_r02*x377);
+IkReal x385=(new_r01*x377);
+IkReal x386=(new_r11*x378);
+IkReal x387=(new_r00*x377);
+IkReal x388=(new_r10*x378);
+evalcond[0]=(((new_r12*x377))+((new_r02*x378)));
+evalcond[1]=(((x377*x381))+new_r02+(((-1.0)*x377*x380)));
+evalcond[2]=(((x378*x380))+(((-1.0)*x378*x381))+new_r12);
+evalcond[3]=(x384+x381+(((-1.0)*x383))+(((-1.0)*x380)));
+evalcond[4]=((((-1.0)*x380*x388))+((new_r20*x379))+(((-1.0)*x381*x387))+((new_r20*x382))+((x380*x387))+((x381*x388)));
+evalcond[5]=((((-1.0)*x380*x386))+(((-1.0)*x381*x385))+((new_r21*x379))+((x380*x385))+((x381*x386))+((new_r21*x382)));
+evalcond[6]=((((-1.0)*x379*x383))+((new_r22*x381))+((x382*x384))+((x379*x384))+(((-1.0)*new_r22*x380))+(((-1.0)*x382*x383)));
+evalcond[7]=((-1.0)+(((-1.0)*x380*x383))+(((-1.0)*x381*x384))+((new_r22*x382))+((x380*x384))+((x381*x383))+((new_r22*x379)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[12];
+IkReal x389=IKcos(j3);
+IkReal x390=IKsin(j3);
+IkReal x391=((0.9999999992)*cj4);
+IkReal x392=((3.9999999968e-5)*cj4);
+IkReal x393=(cj5*new_r01);
+IkReal x394=((0.9999999992)*sj4);
+IkReal x395=(cj5*new_r00);
+IkReal x396=((3.9999999968e-5)*sj4);
+IkReal x397=(new_r10*sj5);
+IkReal x398=(new_r11*sj5);
+IkReal x399=((1.0)*x389);
+IkReal x400=(cj5*x390);
+IkReal x401=(sj5*x389);
+IkReal x402=(sj5*x390);
+IkReal x403=(cj5*x389);
+IkReal x404=(x389*x396);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x390);
+evalcond[1]=((((-1.0)*x399))+((cj5*new_r11))+((new_r01*sj5)));
+evalcond[2]=((((-1.0)*x389*x394))+new_r20+((x389*x392)));
+evalcond[3]=((((-1.0)*x390*x394))+new_r21+((x390*x392)));
+evalcond[4]=((((-1.0)*x397))+(((-1.0)*x389*x391))+x395+(((-1.0)*x404)));
+evalcond[5]=((((-1.0)*x398))+x393+(((-1.0)*x390*x396))+(((-1.0)*x390*x391)));
+evalcond[6]=((((-1.0)*x391*x403))+x402+new_r00+(((-1.0)*x396*x403)));
+evalcond[7]=(x400+new_r10+((x396*x401))+((x391*x401)));
+evalcond[8]=((((-1.0)*sj5*x399))+(((-1.0)*x391*x400))+new_r01+(((-1.0)*x396*x400)));
+evalcond[9]=((((-1.0)*cj5*x399))+new_r11+((x396*x402))+((x391*x402)));
+evalcond[10]=((((-1.0)*x399))+((x395*x396))+((new_r20*x394))+(((-1.0)*x391*x397))+((x391*x395))+(((-1.0)*x396*x397))+(((-1.0)*new_r20*x392)));
+evalcond[11]=((((-1.0)*x390))+(((-1.0)*new_r21*x392))+(((-1.0)*x391*x398))+((x391*x393))+((new_r21*x394))+(((-1.0)*x396*x398))+((x393*x396)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+CheckValue<IkReal> x405 = IKatan2WithCheck(IkReal(((-1.0)*new_r21)),IkReal(((-1.0)*new_r20)),IKFAST_ATAN2_MAGTHRESH);
+if(!x405.valid){
+continue;
+}
+CheckValue<IkReal> x406=IKPowWithIntegerCheck(IKsign(((((-0.9999999992)*sj4))+(((3.9999999968e-5)*cj4)))),-1);
+if(!x406.valid){
+continue;
+}
+j3array[0]=((-1.5707963267949)+(x405.value)+(((1.5707963267949)*(x406.value))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[2];
+IkReal x407=IKcos(j3);
+IkReal x408=IKsin(j3);
+IkReal x409=((0.9999999992)*sj4);
+IkReal x410=((3.9999999968e-5)*cj4);
+evalcond[0]=(((x407*x410))+(((-1.0)*x407*x409))+new_r20);
+evalcond[1]=(((x408*x410))+new_r21+(((-1.0)*x408*x409)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j5eval[3];
+IkReal x411=((((-1.0)*new_r00*new_r12))+((new_r02*new_r10)));
+j5eval[0]=x411;
+j5eval[1]=((IKabs((new_r12*sj3)))+(IKabs((new_r02*sj3))));
+j5eval[2]=IKsign(x411);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+IkReal x412=(((new_r01*new_r12))+(((-1.0)*new_r02*new_r11)));
+j5eval[0]=x412;
+j5eval[1]=IKsign(x412);
+j5eval[2]=((IKabs((cj3*new_r02)))+(IKabs((cj3*new_r12))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+j5eval[0]=((((25000.0)*sj4))+(((-1.0)*cj4)));
+j5eval[1]=((IKabs(new_r12))+(IKabs(new_r02)));
+j5eval[2]=IKsign(((((-3.9999999968e-5)*cj4))+(((0.9999999992)*sj4))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.99999999786667e-5)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+IkReal x413=((1.0)*new_r00);
+IkReal x414=(((new_r01*new_r10))+(((-1.0)*new_r11*x413)));
+j5eval[0]=x414;
+j5eval[1]=IKsign(x414);
+j5eval[2]=((IKabs((((new_r11*sj3))+((cj3*new_r10)))))+(IKabs(((((-1.0)*new_r01*sj3))+(((-1.0)*cj3*x413))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+IkReal x415=new_r00*new_r00;
+IkReal x416=cj3*cj3;
+j5eval[0]=((((-1.0)*x415*x416))+x415+(((-1.0000000016)*x416*(new_r10*new_r10))));
+j5eval[1]=((((-1.0000000008)*cj3*new_r10))+((new_r00*sj3)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+j5eval[0]=new_r00;
+j5eval[1]=((((-1.0000000008)*new_r00*sj3))+((cj3*new_r10)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+IkReal x417=((-1.0000000008)*new_r00);
+IkReal x419 = ((((1.0000000016)*(new_r00*new_r00)))+(new_r10*new_r10));
+if(IKabs(x419)==0){
+continue;
+}
+IkReal x418=pow(x419,-0.5);
+CheckValue<IkReal> x420 = IKatan2WithCheck(IkReal(new_r10),IkReal(x417),IKFAST_ATAN2_MAGTHRESH);
+if(!x420.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x420.value));
+IkReal gconst7=((-1.0)*new_r10*x418);
+IkReal gconst8=(x417*x418);
+CheckValue<IkReal> x421 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x421.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x421.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x422=((-1.0000000008)*new_r00);
+IkReal x423=x418;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+CheckValue<IkReal> x424 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x424.valid){
+continue;
+}
+j3=((-1.0)*(x424.value));
+CheckValue<IkReal> x425 = IKatan2WithCheck(IkReal(new_r10),IkReal(x422),IKFAST_ATAN2_MAGTHRESH);
+if(!x425.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x425.value));
+IkReal gconst7=((-1.0)*new_r10*x423);
+IkReal gconst8=(x422*x423);
+IkReal x426=new_r00*new_r00;
+IkReal x427=(new_r01*new_r10);
+IkReal x428=(x427+(((-1.0)*new_r00*new_r11)));
+IkReal x431 = ((((625000000.0)*(new_r10*new_r10)))+(((625000001.0)*x426)));
+if(IKabs(x431)==0){
+continue;
+}
+IkReal x429=pow(x431,-0.5);
+IkReal x430=(new_r10*x429);
+j5eval[0]=x428;
+j5eval[1]=IKsign(x428);
+j5eval[2]=((IKabs(((((-25000.00002)*new_r00*x430))+(((-25000.0)*new_r11*x430)))))+(IKabs(((((25000.00002)*x426*x429))+(((25000.0)*x427*x429))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x432=((-1.0000000008)*new_r00);
+IkReal x433=x418;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+CheckValue<IkReal> x434 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x434.valid){
+continue;
+}
+j3=((-1.0)*(x434.value));
+CheckValue<IkReal> x435 = IKatan2WithCheck(IkReal(new_r10),IkReal(x432),IKFAST_ATAN2_MAGTHRESH);
+if(!x435.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x435.value));
+IkReal gconst7=((-1.0)*new_r10*x433);
+IkReal gconst8=(x432*x433);
+IkReal x436=new_r00*new_r00;
+IkReal x437=new_r10*new_r10;
+IkReal x438=((((1.0000000016)*x436))+x437);
+CheckValue<IkReal> x439=IKPowWithIntegerCheck(x438,-1);
+if(!x439.valid){
+continue;
+}
+j5eval[0]=((-3.20000000256e-9)*x436*x437*(x439.value));
+IkReal x440 = x438;
+if(IKabs(x440)==0){
+continue;
+}
+j5eval[1]=((1.6e-9)*new_r00*new_r10*(pow(x440,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x441=((-1.0000000008)*new_r00);
+IkReal x442=x418;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+CheckValue<IkReal> x443 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x443.valid){
+continue;
+}
+j3=((-1.0)*(x443.value));
+CheckValue<IkReal> x444 = IKatan2WithCheck(IkReal(new_r10),IkReal(x441),IKFAST_ATAN2_MAGTHRESH);
+if(!x444.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x444.value));
+IkReal gconst7=((-1.0)*new_r10*x442);
+IkReal gconst8=(x441*x442);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+CheckValue<IkReal> x446 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x446.valid){
+continue;
+}
+IkReal x445=((-1.0)*(x446.value));
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+j3=x445;
+new_r00=0;
+IkReal gconst6=x445;
+IkReal x447 = new_r10*new_r10;
+if(IKabs(x447)==0){
+continue;
+}
+IkReal gconst7=((-1.0)*new_r10*(pow(x447,-0.5)));
+IkReal gconst8=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x449=IKPowWithIntegerCheck(gconst7,-1);
+if(!x449.valid){
+continue;
+}
+IkReal x448=x449.value;
+if( IKabs(((-0.9999999992)*new_r11*x448)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x448)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*x448))+IKsqr(((-1.0)*new_r10*x448))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*x448), ((-1.0)*new_r10*x448));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x450=IKsin(j5);
+IkReal x451=IKcos(j5);
+IkReal x452=((1.0000000008)*gconst7);
+IkReal x453=(new_r11*x450);
+IkReal x454=(new_r10*x450);
+IkReal x455=(new_r01*x451);
+evalcond[0]=(gconst7*x450);
+evalcond[1]=((-1.0)*x454);
+evalcond[2]=(((new_r10*x451))+gconst7);
+evalcond[3]=(((gconst7*x451))+new_r10);
+evalcond[4]=((-1.0000000008)*x454);
+evalcond[5]=(((new_r11*x451))+((new_r01*x450)));
+evalcond[6]=((((-1.0)*x451*x452))+new_r01);
+evalcond[7]=(((x450*x452))+new_r11);
+evalcond[8]=((((-1.0)*x453))+(((-1.0)*x452))+x455);
+evalcond[9]=((((-1.0)*gconst7))+(((1.0000000008)*x455))+(((-1.0000000008)*x453)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x456=IKPowWithIntegerCheck(gconst7,-1);
+if(!x456.valid){
+continue;
+}
+CheckValue<IkReal> x457=IKPowWithIntegerCheck(new_r10,-1);
+if(!x457.valid){
+continue;
+}
+if( IKabs(((-0.9999999992)*new_r11*(x456.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst7*(x457.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*(x456.value)))+IKsqr(((-1.0)*gconst7*(x457.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*(x456.value)), ((-1.0)*gconst7*(x457.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x458=IKsin(j5);
+IkReal x459=IKcos(j5);
+IkReal x460=((1.0000000008)*gconst7);
+IkReal x461=(new_r11*x458);
+IkReal x462=(new_r10*x458);
+IkReal x463=(new_r01*x459);
+evalcond[0]=(gconst7*x458);
+evalcond[1]=((-1.0)*x462);
+evalcond[2]=(((new_r10*x459))+gconst7);
+evalcond[3]=(((gconst7*x459))+new_r10);
+evalcond[4]=((-1.0000000008)*x462);
+evalcond[5]=(((new_r11*x459))+((new_r01*x458)));
+evalcond[6]=((((-1.0)*x459*x460))+new_r01);
+evalcond[7]=(new_r11+((x458*x460)));
+evalcond[8]=((((-1.0)*x461))+(((-1.0)*x460))+x463);
+evalcond[9]=((((-1.0)*gconst7))+(((1.0000000008)*x463))+(((-1.0000000008)*x461)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x464=((-1.0000000008)*new_r00);
+IkReal x466 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x466)==0){
+continue;
+}
+IkReal x465=pow(x466,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+CheckValue<IkReal> x467 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x467.valid){
+continue;
+}
+j3=((-1.0)*(x467.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x468 = IKatan2WithCheck(IkReal(new_r10),IkReal(x464),IKFAST_ATAN2_MAGTHRESH);
+if(!x468.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x468.value));
+IkReal gconst7=((-1.0)*new_r10*x465);
+IkReal gconst8=(x464*x465);
+IkReal x469=new_r10*new_r10;
+CheckValue<IkReal> x473=IKPowWithIntegerCheck(((-625000001.0)+x469),-1);
+if(!x473.valid){
+continue;
+}
+IkReal x470=x473.value;
+if((((625000001.0)+(((-1.0)*x469)))) < -0.00001)
+continue;
+IkReal x471=IKsqrt(((625000001.0)+(((-1.0)*x469))));
+IkReal x472=(x470*x471);
+j5eval[0]=-1.0;
+j5eval[1]=-1.0;
+IkReal x474 = ((1.0000000016)+(((-1.6e-9)*x469)));
+if(IKabs(x474)==0){
+continue;
+}
+j5eval[2]=((IKabs(((((-625000001.0)*x472))+(((1250000001.0)*x469*x472)))))+(((50000.00004)*(IKabs((new_r00*new_r10*(pow(x474,-0.5))))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x475=((-1.0000000008)*new_r00);
+IkReal x477 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x477)==0){
+continue;
+}
+IkReal x476=pow(x477,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+CheckValue<IkReal> x478 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x478.valid){
+continue;
+}
+j3=((-1.0)*(x478.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x479 = IKatan2WithCheck(IkReal(new_r10),IkReal(x475),IKFAST_ATAN2_MAGTHRESH);
+if(!x479.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x479.value));
+IkReal gconst7=((-1.0)*new_r10*x476);
+IkReal gconst8=(x475*x476);
+IkReal x480=new_r10*new_r10;
+CheckValue<IkReal> x483=IKPowWithIntegerCheck(((1.0000000016)+(((-1.6e-9)*x480))),-1);
+if(!x483.valid){
+continue;
+}
+IkReal x481=x483.value;
+IkReal x482=((625000001.0)*x481);
+IkReal x484=((1.0)+(((-1.0)*x480)));
+j5eval[0]=IKsign((((x482*(x480*x480)))+(((-1.0)*x482*(x484*x484)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x485=((-1.0000000008)*new_r00);
+IkReal x487 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x487)==0){
+continue;
+}
+IkReal x486=pow(x487,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst7;
+cj3=gconst8;
+CheckValue<IkReal> x488 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x488.valid){
+continue;
+}
+j3=((-1.0)*(x488.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x489 = IKatan2WithCheck(IkReal(new_r10),IkReal(x485),IKFAST_ATAN2_MAGTHRESH);
+if(!x489.valid){
+continue;
+}
+IkReal gconst6=((-1.0)*(x489.value));
+IkReal gconst7=((-1.0)*new_r10*x486);
+IkReal gconst8=(x485*x486);
+IkReal x490=new_r10*new_r10;
+IkReal x491=((1.0000000016)+(((-1.6e-9)*x490)));
+CheckValue<IkReal> x492=IKPowWithIntegerCheck(x491,-1);
+if(!x492.valid){
+continue;
+}
+j5eval[0]=((-3.20000000256e-9)*x490*(x492.value)*(((1.0)+(((-1.0)*x490)))));
+IkReal x493 = x491;
+if(IKabs(x493)==0){
+continue;
+}
+j5eval[1]=((1.6e-9)*new_r00*new_r10*(pow(x493,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x494=gconst7*gconst7;
+IkReal x495=new_r10*new_r10;
+IkReal x496=((625000000.0)*new_r00);
+IkReal x497=((625000000.5)*gconst8);
+IkReal x498=((25000.00002)*gconst8);
+IkReal x499=((25000.0)*new_r00);
+CheckValue<IkReal> x500=IKPowWithIntegerCheck(((((-625000001.0)*x495*(gconst8*gconst8)))+((new_r00*x494*x496))),-1);
+if(!x500.valid){
+continue;
+}
+CheckValue<IkReal> x501=IKPowWithIntegerCheck(((((-1.0)*new_r10*x498))+((gconst7*x499))),-1);
+if(!x501.valid){
+continue;
+}
+if( IKabs(((x500.value)*(((((-1.0)*x496*(gconst7*gconst7*gconst7)))+(((-1.0)*new_r10*x494*x497))+((x497*(new_r10*new_r10*new_r10)))+((gconst7*x495*x496)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x501.value)*(((((-1.0)*new_r10*x499))+((gconst7*x498)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x500.value)*(((((-1.0)*x496*(gconst7*gconst7*gconst7)))+(((-1.0)*new_r10*x494*x497))+((x497*(new_r10*new_r10*new_r10)))+((gconst7*x495*x496))))))+IKsqr(((x501.value)*(((((-1.0)*new_r10*x499))+((gconst7*x498))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x500.value)*(((((-1.0)*x496*(gconst7*gconst7*gconst7)))+(((-1.0)*new_r10*x494*x497))+((x497*(new_r10*new_r10*new_r10)))+((gconst7*x495*x496))))), ((x501.value)*(((((-1.0)*new_r10*x499))+((gconst7*x498))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x502=IKsin(j5);
+IkReal x503=IKcos(j5);
+IkReal x504=((1.0)*gconst8);
+IkReal x505=((1.0000000008)*gconst8);
+IkReal x506=(gconst7*x503);
+IkReal x507=(new_r00*x503);
+IkReal x508=((1.0000000008)*x502);
+evalcond[0]=(gconst7+((new_r10*x503))+((new_r00*x502)));
+evalcond[1]=(((gconst7*x502))+(((-1.0)*x503*x505))+new_r00);
+evalcond[2]=(x506+((x502*x505))+new_r10);
+evalcond[3]=((((-1.0)*x502*x504))+(((-1.0000000008)*x506)));
+evalcond[4]=(((gconst7*x508))+(((-1.0)*x503*x504)));
+evalcond[5]=((((-1.0)*new_r10*x502))+(((-1.0)*x505))+x507);
+evalcond[6]=((((-1.0)*x504))+(((1.0000000008)*x507))+(((-1.0)*new_r10*x508)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x509=gconst8*gconst8;
+IkReal x510=gconst7*gconst7;
+IkReal x511=((625000000.0)*x509);
+IkReal x512=((625000000.5)*gconst8*x510);
+CheckValue<IkReal> x513 = IKatan2WithCheck(IkReal((((gconst7*new_r00*x511))+(((-1.0)*new_r10*x512)))),IkReal((((new_r00*x512))+(((-625000001.0)*new_r10*(gconst7*gconst7*gconst7))))),IKFAST_ATAN2_MAGTHRESH);
+if(!x513.valid){
+continue;
+}
+CheckValue<IkReal> x514=IKPowWithIntegerCheck(IKsign(((((625000001.0)*x510*(new_r10*new_r10)))+(((-1.0)*x511*(new_r00*new_r00))))),-1);
+if(!x514.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x513.value)+(((1.5707963267949)*(x514.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x515=IKsin(j5);
+IkReal x516=IKcos(j5);
+IkReal x517=((1.0)*gconst8);
+IkReal x518=((1.0000000008)*gconst8);
+IkReal x519=(gconst7*x516);
+IkReal x520=(new_r00*x516);
+IkReal x521=((1.0000000008)*x515);
+evalcond[0]=(((new_r00*x515))+((new_r10*x516))+gconst7);
+evalcond[1]=((((-1.0)*x516*x518))+((gconst7*x515))+new_r00);
+evalcond[2]=(x519+((x515*x518))+new_r10);
+evalcond[3]=((((-1.0000000008)*x519))+(((-1.0)*x515*x517)));
+evalcond[4]=(((gconst7*x521))+(((-1.0)*x516*x517)));
+evalcond[5]=((((-1.0)*new_r10*x515))+x520+(((-1.0)*x518)));
+evalcond[6]=((((1.0000000008)*x520))+(((-1.0)*new_r10*x521))+(((-1.0)*x517)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x522=((25000.00002)*gconst8);
+IkReal x523=((25000.0)*gconst7);
+CheckValue<IkReal> x524=IKPowWithIntegerCheck(IKsign(((((-25000.0)*(new_r10*new_r10)))+(((-25000.0)*(new_r00*new_r00))))),-1);
+if(!x524.valid){
+continue;
+}
+CheckValue<IkReal> x525 = IKatan2WithCheck(IkReal((((new_r10*x522))+((new_r00*x523)))),IkReal(((((-1.0)*new_r00*x522))+((new_r10*x523)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x525.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x524.value)))+(x525.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x526=IKsin(j5);
+IkReal x527=IKcos(j5);
+IkReal x528=((1.0)*gconst8);
+IkReal x529=((1.0000000008)*gconst8);
+IkReal x530=(gconst7*x527);
+IkReal x531=(new_r00*x527);
+IkReal x532=((1.0000000008)*x526);
+evalcond[0]=(gconst7+((new_r10*x527))+((new_r00*x526)));
+evalcond[1]=((((-1.0)*x527*x529))+((gconst7*x526))+new_r00);
+evalcond[2]=(((x526*x529))+x530+new_r10);
+evalcond[3]=((((-1.0)*x526*x528))+(((-1.0000000008)*x530)));
+evalcond[4]=((((-1.0)*x527*x528))+((gconst7*x532)));
+evalcond[5]=((((-1.0)*x529))+x531+(((-1.0)*new_r10*x526)));
+evalcond[6]=((((1.0000000008)*x531))+(((-1.0)*x528))+(((-1.0)*new_r10*x532)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x534=IKPowWithIntegerCheck(gconst8,-1);
+if(!x534.valid){
+continue;
+}
+IkReal x533=x534.value;
+if( IKabs((new_r01*x533)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((0.9999999992)*new_r00*x533)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x533))+IKsqr(((0.9999999992)*new_r00*x533))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x533), ((0.9999999992)*new_r00*x533));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x535=IKcos(j5);
+IkReal x536=IKsin(j5);
+IkReal x537=((1.0)*gconst8);
+IkReal x538=((1.0000000008)*gconst8);
+IkReal x539=(new_r00*x535);
+IkReal x540=(gconst8*x535);
+IkReal x541=(new_r01*x535);
+evalcond[0]=(new_r00*x536);
+evalcond[1]=x541;
+evalcond[2]=((-1.0)*x540);
+evalcond[3]=(new_r01+(((-1.0)*x536*x537)));
+evalcond[4]=(((new_r01*x536))+(((-1.0)*x537)));
+evalcond[5]=(x536*x538);
+evalcond[6]=((1.0000000008)*x541);
+evalcond[7]=((((-1.0)*x535*x538))+new_r00);
+evalcond[8]=((((-1.0)*x538))+x539);
+evalcond[9]=((((1.0000000008)*x539))+(((-1.0)*x537)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x546=IKPowWithIntegerCheck(new_r00,-1);
+if(!x546.valid){
+continue;
+}
+IkReal x542=x546.value;
+IkReal x543=gconst7*gconst7;
+IkReal x544=((25000.0)*new_r10);
+CheckValue<IkReal> x547=IKPowWithIntegerCheck(((((25000.00002)*gconst8*new_r00))+((gconst7*x544))),-1);
+if(!x547.valid){
+continue;
+}
+IkReal x545=x547.value;
+CheckValue<IkReal> x548=IKPowWithIntegerCheck(x542,-2);
+if(!x548.valid){
+continue;
+}
+if( IKabs((((x542*x543*x544*x545))+(((-1.0)*gconst7*x542))+(((-1.0)*new_r00*x544*x545)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x545*(((((25000.0)*(x548.value)))+(((-25000.0)*x543)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((x542*x543*x544*x545))+(((-1.0)*gconst7*x542))+(((-1.0)*new_r00*x544*x545))))+IKsqr((x545*(((((25000.0)*(x548.value)))+(((-25000.0)*x543))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((x542*x543*x544*x545))+(((-1.0)*gconst7*x542))+(((-1.0)*new_r00*x544*x545))), (x545*(((((25000.0)*(x548.value)))+(((-25000.0)*x543))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x549=IKcos(j5);
+IkReal x550=IKsin(j5);
+IkReal x551=((1.0)*gconst8);
+IkReal x552=((1.0000000008)*gconst7);
+IkReal x553=((1.0000000008)*gconst8);
+IkReal x554=(new_r11*x550);
+IkReal x555=(new_r01*x549);
+IkReal x556=(new_r00*x549);
+IkReal x557=(new_r10*x550);
+evalcond[0]=(gconst7+((new_r10*x549))+((new_r00*x550)));
+evalcond[1]=(((new_r11*x549))+(((-1.0)*x551))+((new_r01*x550)));
+evalcond[2]=(((gconst7*x550))+(((-1.0)*x549*x553))+new_r00);
+evalcond[3]=(((gconst7*x549))+((x550*x553))+new_r10);
+evalcond[4]=((((-1.0)*x550*x551))+(((-1.0)*x549*x552))+new_r01);
+evalcond[5]=(((x550*x552))+(((-1.0)*x549*x551))+new_r11);
+evalcond[6]=((((-1.0)*x557))+(((-1.0)*x553))+x556);
+evalcond[7]=((((-1.0)*x554))+(((-1.0)*x552))+x555);
+evalcond[8]=((((-1.0000000008)*x557))+(((-1.0)*x551))+(((1.0000000008)*x556)));
+evalcond[9]=((((-1.0)*gconst7))+(((-1.0000000008)*x554))+(((1.0000000008)*x555)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x558=gconst7*gconst7;
+IkReal x559=new_r10*new_r10;
+IkReal x560=((625000000.0)*new_r00);
+IkReal x561=((625000000.5)*gconst8);
+IkReal x562=((25000.00002)*gconst8);
+IkReal x563=((25000.0)*new_r00);
+CheckValue<IkReal> x564=IKPowWithIntegerCheck(((((-625000001.0)*x559*(gconst8*gconst8)))+((new_r00*x558*x560))),-1);
+if(!x564.valid){
+continue;
+}
+CheckValue<IkReal> x565=IKPowWithIntegerCheck((((gconst7*x563))+(((-1.0)*new_r10*x562))),-1);
+if(!x565.valid){
+continue;
+}
+if( IKabs(((x564.value)*((((x561*(new_r10*new_r10*new_r10)))+(((-1.0)*new_r10*x558*x561))+((gconst7*x559*x560))+(((-1.0)*x560*(gconst7*gconst7*gconst7))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x565.value)*((((gconst7*x562))+(((-1.0)*new_r10*x563)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x564.value)*((((x561*(new_r10*new_r10*new_r10)))+(((-1.0)*new_r10*x558*x561))+((gconst7*x559*x560))+(((-1.0)*x560*(gconst7*gconst7*gconst7)))))))+IKsqr(((x565.value)*((((gconst7*x562))+(((-1.0)*new_r10*x563))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x564.value)*((((x561*(new_r10*new_r10*new_r10)))+(((-1.0)*new_r10*x558*x561))+((gconst7*x559*x560))+(((-1.0)*x560*(gconst7*gconst7*gconst7)))))), ((x565.value)*((((gconst7*x562))+(((-1.0)*new_r10*x563))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x566=IKcos(j5);
+IkReal x567=IKsin(j5);
+IkReal x568=((1.0)*gconst8);
+IkReal x569=((1.0000000008)*gconst7);
+IkReal x570=((1.0000000008)*gconst8);
+IkReal x571=(new_r11*x567);
+IkReal x572=(new_r01*x566);
+IkReal x573=(new_r00*x566);
+IkReal x574=(new_r10*x567);
+evalcond[0]=(gconst7+((new_r00*x567))+((new_r10*x566)));
+evalcond[1]=(((new_r01*x567))+((new_r11*x566))+(((-1.0)*x568)));
+evalcond[2]=((((-1.0)*x566*x570))+new_r00+((gconst7*x567)));
+evalcond[3]=(((x567*x570))+new_r10+((gconst7*x566)));
+evalcond[4]=((((-1.0)*x566*x569))+(((-1.0)*x567*x568))+new_r01);
+evalcond[5]=((((-1.0)*x566*x568))+((x567*x569))+new_r11);
+evalcond[6]=((((-1.0)*x574))+(((-1.0)*x570))+x573);
+evalcond[7]=((((-1.0)*x571))+x572+(((-1.0)*x569)));
+evalcond[8]=((((-1.0000000008)*x574))+(((1.0000000008)*x573))+(((-1.0)*x568)));
+evalcond[9]=((((-1.0000000008)*x571))+(((1.0000000008)*x572))+(((-1.0)*gconst7)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x575=((1.0)*new_r00);
+CheckValue<IkReal> x576 = IKatan2WithCheck(IkReal((((gconst8*new_r10))+((gconst7*new_r11)))),IkReal(((((-1.0)*gconst7*new_r01))+(((-1.0)*gconst8*x575)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x576.valid){
+continue;
+}
+CheckValue<IkReal> x577=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r11*x575))+((new_r01*new_r10)))),-1);
+if(!x577.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x576.value)+(((1.5707963267949)*(x577.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x578=IKcos(j5);
+IkReal x579=IKsin(j5);
+IkReal x580=((1.0)*gconst8);
+IkReal x581=((1.0000000008)*gconst7);
+IkReal x582=((1.0000000008)*gconst8);
+IkReal x583=(new_r11*x579);
+IkReal x584=(new_r01*x578);
+IkReal x585=(new_r00*x578);
+IkReal x586=(new_r10*x579);
+evalcond[0]=(((new_r00*x579))+((new_r10*x578))+gconst7);
+evalcond[1]=(((new_r11*x578))+((new_r01*x579))+(((-1.0)*x580)));
+evalcond[2]=((((-1.0)*x578*x582))+((gconst7*x579))+new_r00);
+evalcond[3]=(((x579*x582))+((gconst7*x578))+new_r10);
+evalcond[4]=((((-1.0)*x578*x581))+(((-1.0)*x579*x580))+new_r01);
+evalcond[5]=(((x579*x581))+(((-1.0)*x578*x580))+new_r11);
+evalcond[6]=((((-1.0)*x586))+x585+(((-1.0)*x582)));
+evalcond[7]=((((-1.0)*x583))+x584+(((-1.0)*x581)));
+evalcond[8]=((((1.0000000008)*x585))+(((-1.0)*x580))+(((-1.0000000008)*x586)));
+evalcond[9]=((((1.0000000008)*x584))+(((-1.0)*gconst7))+(((-1.0000000008)*x583)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x588 = ((((1.0000000016)*(new_r00*new_r00)))+(new_r10*new_r10));
+if(IKabs(x588)==0){
+continue;
+}
+IkReal x587=pow(x588,-0.5);
+CheckValue<IkReal> x589 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x589.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x589.value))));
+IkReal gconst10=((1.0)*new_r10*x587);
+IkReal gconst11=((1.0000000008)*new_r00*x587);
+CheckValue<IkReal> x590 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x590.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x590.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x591=x587;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+CheckValue<IkReal> x592 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x592.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x592.value))));
+CheckValue<IkReal> x593 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x593.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x593.value))));
+IkReal gconst10=((1.0)*new_r10*x591);
+IkReal gconst11=((1.0000000008)*new_r00*x591);
+IkReal x594=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x594;
+j5eval[1]=IKsign(x594);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x595=x587;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+CheckValue<IkReal> x596 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x596.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x596.value))));
+CheckValue<IkReal> x597 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x597.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x597.value))));
+IkReal gconst10=((1.0)*new_r10*x595);
+IkReal gconst11=((1.0000000008)*new_r00*x595);
+IkReal x598=new_r00*new_r00;
+IkReal x599=new_r10*new_r10;
+IkReal x600=((((1.0000000016)*x598))+x599);
+CheckValue<IkReal> x601=IKPowWithIntegerCheck(x600,-1);
+if(!x601.valid){
+continue;
+}
+j5eval[0]=((-3.20000004272458e-9)*x598*x599*(x601.value));
+IkReal x602 = x600;
+if(IKabs(x602)==0){
+continue;
+}
+j5eval[1]=((-1.60000013238459e-9)*new_r00*new_r10*(pow(x602,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x603=x587;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+CheckValue<IkReal> x604 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x604.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x604.value))));
+CheckValue<IkReal> x605 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x605.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x605.value))));
+IkReal gconst10=((1.0)*new_r10*x603);
+IkReal gconst11=((1.0000000008)*new_r00*x603);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+CheckValue<IkReal> x607 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x607.valid){
+continue;
+}
+IkReal x606=((1.0)*(x607.value));
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+j3=((3.14159265)+(((-1.0)*x606)));
+new_r00=0;
+IkReal gconst9=((3.14159265358979)+(((-1.0)*x606)));
+IkReal x608 = new_r10*new_r10;
+if(IKabs(x608)==0){
+continue;
+}
+IkReal gconst10=((1.0)*new_r10*(pow(x608,-0.5)));
+IkReal gconst11=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x610=IKPowWithIntegerCheck(gconst10,-1);
+if(!x610.valid){
+continue;
+}
+IkReal x609=x610.value;
+if( IKabs(((-0.9999999992)*new_r11*x609)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x609)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*x609))+IKsqr(((-1.0)*new_r10*x609))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*x609), ((-1.0)*new_r10*x609));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x611=IKsin(j5);
+IkReal x612=IKcos(j5);
+IkReal x613=(gconst10*x612);
+IkReal x614=(gconst10*x611);
+IkReal x615=(new_r01*x612);
+IkReal x616=(new_r11*x611);
+IkReal x617=(new_r10*x611);
+evalcond[0]=x614;
+evalcond[1]=((-1.0)*x617);
+evalcond[2]=(gconst10+((new_r10*x612)));
+evalcond[3]=(x613+new_r10);
+evalcond[4]=((-1.0000000008)*x617);
+evalcond[5]=(((new_r11*x612))+((new_r01*x611)));
+evalcond[6]=((((-1.0000000008)*x613))+new_r01);
+evalcond[7]=(new_r11+(((1.0000000008)*x614)));
+evalcond[8]=((((-1.0000000008)*gconst10))+(((-1.0)*x616))+x615);
+evalcond[9]=((((-1.0000000008)*x616))+(((-1.0)*gconst10))+(((1.0000000008)*x615)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x618=IKPowWithIntegerCheck(gconst10,-1);
+if(!x618.valid){
+continue;
+}
+CheckValue<IkReal> x619=IKPowWithIntegerCheck(new_r10,-1);
+if(!x619.valid){
+continue;
+}
+if( IKabs(((-0.9999999992)*new_r11*(x618.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst10*(x619.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*(x618.value)))+IKsqr(((-1.0)*gconst10*(x619.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*(x618.value)), ((-1.0)*gconst10*(x619.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x620=IKsin(j5);
+IkReal x621=IKcos(j5);
+IkReal x622=(gconst10*x621);
+IkReal x623=(gconst10*x620);
+IkReal x624=(new_r01*x621);
+IkReal x625=(new_r11*x620);
+IkReal x626=(new_r10*x620);
+evalcond[0]=x623;
+evalcond[1]=((-1.0)*x626);
+evalcond[2]=(gconst10+((new_r10*x621)));
+evalcond[3]=(x622+new_r10);
+evalcond[4]=((-1.0000000008)*x626);
+evalcond[5]=(((new_r01*x620))+((new_r11*x621)));
+evalcond[6]=((((-1.0000000008)*x622))+new_r01);
+evalcond[7]=((((1.0000000008)*x623))+new_r11);
+evalcond[8]=((((-1.0000000008)*gconst10))+x624+(((-1.0)*x625)));
+evalcond[9]=((((1.0000000008)*x624))+(((-1.0000000008)*x625))+(((-1.0)*gconst10)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x628 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x628)==0){
+continue;
+}
+IkReal x627=pow(x628,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+CheckValue<IkReal> x629 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x629.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x629.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x630 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x630.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x630.value))));
+IkReal gconst10=((1.0)*new_r10*x627);
+IkReal gconst11=((1.0000000008)*new_r00*x627);
+IkReal x631=new_r10*new_r10;
+CheckValue<IkReal> x635=IKPowWithIntegerCheck(((-3.90625000625e+17)+(((625000000.0)*x631))),-1);
+if(!x635.valid){
+continue;
+}
+IkReal x632=x635.value;
+if((((625000001.0)+(((-1.0)*x631)))) < -0.00001)
+continue;
+IkReal x633=IKsqrt(((625000001.0)+(((-1.0)*x631))));
+IkReal x634=(x632*x633);
+j5eval[0]=-1.0;
+j5eval[1]=-1.0;
+IkReal x636 = ((1.0000000016)+(((-1.6e-9)*x631)));
+if(IKabs(x636)==0){
+continue;
+}
+j5eval[2]=((IKabs(((((-7.81250000625e+17)*x631*x634))+(((3.90625000625e+17)*x634)))))+(IKabs(((50000.00004)*new_r00*new_r10*(pow(x636,-0.5))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x638 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x638)==0){
+continue;
+}
+IkReal x637=pow(x638,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+CheckValue<IkReal> x639 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x639.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x639.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x640 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x640.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x640.value))));
+IkReal gconst10=((1.0)*new_r10*x637);
+IkReal gconst11=((1.0000000008)*new_r00*x637);
+IkReal x641=new_r10*new_r10;
+CheckValue<IkReal> x643=IKPowWithIntegerCheck(((1.0000000016)+(((-1.6e-9)*x641))),-1);
+if(!x643.valid){
+continue;
+}
+IkReal x642=x643.value;
+IkReal x644=((1.0)+(((-1.0)*x641)));
+j5eval[0]=IKsign(((((625000001.0)*x642*(x641*x641)))+(((-625000001.0)*x642*(x644*x644)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x646 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x646)==0){
+continue;
+}
+IkReal x645=pow(x646,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst10;
+cj3=gconst11;
+CheckValue<IkReal> x647 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x647.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x647.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x648 = IKatan2WithCheck(IkReal(new_r10),IkReal(((-1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x648.valid){
+continue;
+}
+IkReal gconst9=((3.14159265358979)+(((-1.0)*(x648.value))));
+IkReal gconst10=((1.0)*new_r10*x645);
+IkReal gconst11=((1.0000000008)*new_r00*x645);
+IkReal x649=new_r10*new_r10;
+IkReal x650=((1.0000000016)+(((-1.6e-9)*x649)));
+CheckValue<IkReal> x651=IKPowWithIntegerCheck(x650,-1);
+if(!x651.valid){
+continue;
+}
+j5eval[0]=((-3.20000004272458e-9)*x649*(x651.value)*(((1.0)+(((-1.0)*x649)))));
+IkReal x652 = x650;
+if(IKabs(x652)==0){
+continue;
+}
+j5eval[1]=((-1.60000013238459e-9)*new_r00*new_r10*(pow(x652,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x653=gconst10*gconst10;
+IkReal x654=new_r10*new_r10;
+IkReal x655=((25000.00002)*gconst11);
+IkReal x656=(gconst10*new_r00);
+IkReal x657=((625000000.5)*gconst11);
+CheckValue<IkReal> x658=IKPowWithIntegerCheck(((((625000000.0)*x653*(new_r00*new_r00)))+(((-625000001.0)*x654*(gconst11*gconst11)))),-1);
+if(!x658.valid){
+continue;
+}
+CheckValue<IkReal> x659=IKPowWithIntegerCheck(((((-1.0)*new_r10*x655))+(((25000.0)*x656))),-1);
+if(!x659.valid){
+continue;
+}
+if( IKabs(((x658.value)*((((x657*(new_r10*new_r10*new_r10)))+(((625000000.0)*x654*x656))+(((-625000000.0)*x656*(gconst10*gconst10)))+(((-1.0)*new_r10*x653*x657)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x659.value)*(((((-25000.0)*new_r00*new_r10))+((gconst10*x655)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x658.value)*((((x657*(new_r10*new_r10*new_r10)))+(((625000000.0)*x654*x656))+(((-625000000.0)*x656*(gconst10*gconst10)))+(((-1.0)*new_r10*x653*x657))))))+IKsqr(((x659.value)*(((((-25000.0)*new_r00*new_r10))+((gconst10*x655))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x658.value)*((((x657*(new_r10*new_r10*new_r10)))+(((625000000.0)*x654*x656))+(((-625000000.0)*x656*(gconst10*gconst10)))+(((-1.0)*new_r10*x653*x657))))), ((x659.value)*(((((-25000.0)*new_r00*new_r10))+((gconst10*x655))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x660=IKsin(j5);
+IkReal x661=IKcos(j5);
+IkReal x662=(gconst11*x661);
+IkReal x663=((1.0000000008)*x660);
+IkReal x664=(gconst10*x661);
+IkReal x665=((1.0)*x660);
+IkReal x666=(new_r00*x661);
+evalcond[0]=(gconst10+((new_r10*x661))+((new_r00*x660)));
+evalcond[1]=((((-1.0000000008)*x662))+new_r00+((gconst10*x660)));
+evalcond[2]=(x664+new_r10+((gconst11*x663)));
+evalcond[3]=((((-1.0000000008)*x664))+(((-1.0)*gconst11*x665)));
+evalcond[4]=((((-1.0)*x662))+((gconst10*x663)));
+evalcond[5]=((((-1.0)*new_r10*x665))+(((-1.0000000008)*gconst11))+x666);
+evalcond[6]=((((1.0000000008)*x666))+(((-1.0)*new_r10*x663))+(((-1.0)*gconst11)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x667=gconst10*gconst10;
+IkReal x668=gconst11*gconst11;
+IkReal x669=((625000000.0)*x668);
+IkReal x670=((625000000.5)*gconst11*x667);
+CheckValue<IkReal> x671 = IKatan2WithCheck(IkReal((((gconst10*new_r00*x669))+(((-1.0)*new_r10*x670)))),IkReal((((new_r00*x670))+(((-625000001.0)*new_r10*(gconst10*gconst10*gconst10))))),IKFAST_ATAN2_MAGTHRESH);
+if(!x671.valid){
+continue;
+}
+CheckValue<IkReal> x672=IKPowWithIntegerCheck(IKsign(((((625000001.0)*x667*(new_r10*new_r10)))+(((-1.0)*x669*(new_r00*new_r00))))),-1);
+if(!x672.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x671.value)+(((1.5707963267949)*(x672.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x673=IKsin(j5);
+IkReal x674=IKcos(j5);
+IkReal x675=(gconst11*x674);
+IkReal x676=((1.0000000008)*x673);
+IkReal x677=(gconst10*x674);
+IkReal x678=((1.0)*x673);
+IkReal x679=(new_r00*x674);
+evalcond[0]=(((new_r00*x673))+((new_r10*x674))+gconst10);
+evalcond[1]=(((gconst10*x673))+new_r00+(((-1.0000000008)*x675)));
+evalcond[2]=(((gconst11*x676))+x677+new_r10);
+evalcond[3]=((((-1.0)*gconst11*x678))+(((-1.0000000008)*x677)));
+evalcond[4]=(((gconst10*x676))+(((-1.0)*x675)));
+evalcond[5]=((((-1.0000000008)*gconst11))+x679+(((-1.0)*new_r10*x678)));
+evalcond[6]=((((1.0000000008)*x679))+(((-1.0)*gconst11))+(((-1.0)*new_r10*x676)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x680=((25000.00002)*gconst11);
+IkReal x681=((25000.0)*gconst10);
+CheckValue<IkReal> x682=IKPowWithIntegerCheck(IKsign(((((-25000.0)*(new_r10*new_r10)))+(((-25000.0)*(new_r00*new_r00))))),-1);
+if(!x682.valid){
+continue;
+}
+CheckValue<IkReal> x683 = IKatan2WithCheck(IkReal((((new_r00*x681))+((new_r10*x680)))),IkReal((((new_r10*x681))+(((-1.0)*new_r00*x680)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x683.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x682.value)))+(x683.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x684=IKsin(j5);
+IkReal x685=IKcos(j5);
+IkReal x686=(gconst11*x685);
+IkReal x687=((1.0000000008)*x684);
+IkReal x688=(gconst10*x685);
+IkReal x689=((1.0)*x684);
+IkReal x690=(new_r00*x685);
+evalcond[0]=(gconst10+((new_r00*x684))+((new_r10*x685)));
+evalcond[1]=(((gconst10*x684))+(((-1.0000000008)*x686))+new_r00);
+evalcond[2]=(((gconst11*x687))+x688+new_r10);
+evalcond[3]=((((-1.0)*gconst11*x689))+(((-1.0000000008)*x688)));
+evalcond[4]=(((gconst10*x687))+(((-1.0)*x686)));
+evalcond[5]=((((-1.0)*new_r10*x689))+(((-1.0000000008)*gconst11))+x690);
+evalcond[6]=((((-1.0)*new_r10*x687))+(((1.0000000008)*x690))+(((-1.0)*gconst11)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x692=IKPowWithIntegerCheck(gconst11,-1);
+if(!x692.valid){
+continue;
+}
+IkReal x691=x692.value;
+if( IKabs((new_r01*x691)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((0.9999999992)*new_r00*x691)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x691))+IKsqr(((0.9999999992)*new_r00*x691))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x691), ((0.9999999992)*new_r00*x691));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x693=IKcos(j5);
+IkReal x694=IKsin(j5);
+IkReal x695=((1.0)*gconst11);
+IkReal x696=((1.0000000008)*gconst11);
+IkReal x697=(new_r00*x693);
+IkReal x698=(new_r01*x693);
+evalcond[0]=(new_r00*x694);
+evalcond[1]=x698;
+evalcond[2]=((-1.0)*gconst11*x693);
+evalcond[3]=((((-1.0)*x694*x695))+new_r01);
+evalcond[4]=((((-1.0)*x695))+((new_r01*x694)));
+evalcond[5]=(x694*x696);
+evalcond[6]=((1.0000000008)*x698);
+evalcond[7]=((((-1.0)*x693*x696))+new_r00);
+evalcond[8]=(x697+(((-1.0)*x696)));
+evalcond[9]=((((-1.0)*x695))+(((1.0000000008)*x697)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x704=IKPowWithIntegerCheck(new_r00,-1);
+if(!x704.valid){
+continue;
+}
+IkReal x699=x704.value;
+IkReal x700=gconst10*gconst10;
+IkReal x701=((25000.0)*new_r10);
+IkReal x702=((25000.0)*x700);
+CheckValue<IkReal> x705=IKPowWithIntegerCheck((((gconst10*x701))+(((25000.00002)*gconst11*new_r00))),-1);
+if(!x705.valid){
+continue;
+}
+IkReal x703=x705.value;
+CheckValue<IkReal> x706=IKPowWithIntegerCheck(x699,-2);
+if(!x706.valid){
+continue;
+}
+if( IKabs((((x699*x700*x701*x703))+(((-1.0)*new_r00*x701*x703))+(((-1.0)*gconst10*x699)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x703*(((((25000.0)*(x706.value)))+(((-1.0)*x702)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((x699*x700*x701*x703))+(((-1.0)*new_r00*x701*x703))+(((-1.0)*gconst10*x699))))+IKsqr((x703*(((((25000.0)*(x706.value)))+(((-1.0)*x702))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((x699*x700*x701*x703))+(((-1.0)*new_r00*x701*x703))+(((-1.0)*gconst10*x699))), (x703*(((((25000.0)*(x706.value)))+(((-1.0)*x702))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x707=IKcos(j5);
+IkReal x708=IKsin(j5);
+IkReal x709=((1.0)*gconst11);
+IkReal x710=((1.0000000008)*gconst11);
+IkReal x711=((1.0000000008)*gconst10);
+IkReal x712=(new_r11*x708);
+IkReal x713=(new_r01*x707);
+IkReal x714=(new_r00*x707);
+IkReal x715=(gconst10*x707);
+IkReal x716=(new_r10*x708);
+evalcond[0]=(((new_r00*x708))+gconst10+((new_r10*x707)));
+evalcond[1]=(((new_r01*x708))+(((-1.0)*x709))+((new_r11*x707)));
+evalcond[2]=((((-1.0)*x707*x710))+((gconst10*x708))+new_r00);
+evalcond[3]=(x715+new_r10+((x708*x710)));
+evalcond[4]=((((-1.0)*x707*x711))+new_r01+(((-1.0)*x708*x709)));
+evalcond[5]=((((-1.0)*x707*x709))+new_r11+((x708*x711)));
+evalcond[6]=((((-1.0)*x716))+(((-1.0)*x710))+x714);
+evalcond[7]=((((-1.0)*x712))+(((-1.0)*x711))+x713);
+evalcond[8]=((((1.0000000008)*x714))+(((-1.0)*x709))+(((-1.0000000008)*x716)));
+evalcond[9]=((((1.0000000008)*x713))+(((-1.0000000008)*x712))+(((-1.0)*gconst10)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x717=gconst10*gconst10;
+IkReal x718=new_r10*new_r10;
+IkReal x719=((25000.00002)*gconst11);
+IkReal x720=(gconst10*new_r00);
+IkReal x721=((625000000.5)*gconst11);
+CheckValue<IkReal> x722=IKPowWithIntegerCheck(((((625000000.0)*x717*(new_r00*new_r00)))+(((-625000001.0)*x718*(gconst11*gconst11)))),-1);
+if(!x722.valid){
+continue;
+}
+CheckValue<IkReal> x723=IKPowWithIntegerCheck(((((25000.0)*x720))+(((-1.0)*new_r10*x719))),-1);
+if(!x723.valid){
+continue;
+}
+if( IKabs(((x722.value)*(((((625000000.0)*x718*x720))+((x721*(new_r10*new_r10*new_r10)))+(((-1.0)*new_r10*x717*x721))+(((-625000000.0)*x720*(gconst10*gconst10))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x723.value)*(((((-25000.0)*new_r00*new_r10))+((gconst10*x719)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x722.value)*(((((625000000.0)*x718*x720))+((x721*(new_r10*new_r10*new_r10)))+(((-1.0)*new_r10*x717*x721))+(((-625000000.0)*x720*(gconst10*gconst10)))))))+IKsqr(((x723.value)*(((((-25000.0)*new_r00*new_r10))+((gconst10*x719))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x722.value)*(((((625000000.0)*x718*x720))+((x721*(new_r10*new_r10*new_r10)))+(((-1.0)*new_r10*x717*x721))+(((-625000000.0)*x720*(gconst10*gconst10)))))), ((x723.value)*(((((-25000.0)*new_r00*new_r10))+((gconst10*x719))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x724=IKcos(j5);
+IkReal x725=IKsin(j5);
+IkReal x726=((1.0)*gconst11);
+IkReal x727=((1.0000000008)*gconst11);
+IkReal x728=((1.0000000008)*gconst10);
+IkReal x729=(new_r11*x725);
+IkReal x730=(new_r01*x724);
+IkReal x731=(new_r00*x724);
+IkReal x732=(gconst10*x724);
+IkReal x733=(new_r10*x725);
+evalcond[0]=(((new_r00*x725))+gconst10+((new_r10*x724)));
+evalcond[1]=(((new_r01*x725))+(((-1.0)*x726))+((new_r11*x724)));
+evalcond[2]=((((-1.0)*x724*x727))+((gconst10*x725))+new_r00);
+evalcond[3]=(((x725*x727))+x732+new_r10);
+evalcond[4]=((((-1.0)*x724*x728))+(((-1.0)*x725*x726))+new_r01);
+evalcond[5]=((((-1.0)*x724*x726))+((x725*x728))+new_r11);
+evalcond[6]=((((-1.0)*x733))+(((-1.0)*x727))+x731);
+evalcond[7]=((((-1.0)*x728))+(((-1.0)*x729))+x730);
+evalcond[8]=((((1.0000000008)*x731))+(((-1.0)*x726))+(((-1.0000000008)*x733)));
+evalcond[9]=((((1.0000000008)*x730))+(((-1.0000000008)*x729))+(((-1.0)*gconst10)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x734=((1.0)*new_r00);
+CheckValue<IkReal> x735=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r11*x734)))),-1);
+if(!x735.valid){
+continue;
+}
+CheckValue<IkReal> x736 = IKatan2WithCheck(IkReal((((gconst10*new_r11))+((gconst11*new_r10)))),IkReal(((((-1.0)*gconst11*x734))+(((-1.0)*gconst10*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x736.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x735.value)))+(x736.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x737=IKcos(j5);
+IkReal x738=IKsin(j5);
+IkReal x739=((1.0)*gconst11);
+IkReal x740=((1.0000000008)*gconst11);
+IkReal x741=((1.0000000008)*gconst10);
+IkReal x742=(new_r11*x738);
+IkReal x743=(new_r01*x737);
+IkReal x744=(new_r00*x737);
+IkReal x745=(gconst10*x737);
+IkReal x746=(new_r10*x738);
+evalcond[0]=(gconst10+((new_r00*x738))+((new_r10*x737)));
+evalcond[1]=(((new_r01*x738))+(((-1.0)*x739))+((new_r11*x737)));
+evalcond[2]=((((-1.0)*x737*x740))+((gconst10*x738))+new_r00);
+evalcond[3]=(((x738*x740))+x745+new_r10);
+evalcond[4]=((((-1.0)*x737*x741))+new_r01+(((-1.0)*x738*x739)));
+evalcond[5]=(((x738*x741))+(((-1.0)*x737*x739))+new_r11);
+evalcond[6]=((((-1.0)*x746))+x744+(((-1.0)*x740)));
+evalcond[7]=((((-1.0)*x742))+x743+(((-1.0)*x741)));
+evalcond[8]=((((-1.0000000008)*x746))+(((-1.0)*x739))+(((1.0000000008)*x744)));
+evalcond[9]=((((-1.0000000008)*x742))+(((1.0000000008)*x743))+(((-1.0)*gconst10)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x747=new_r00*new_r00;
+CheckValue<IkReal> x748=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x747))),-1);
+if(!x748.valid){
+continue;
+}
+if((((-1.0)*x747*(x748.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x747*(x748.value)));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.0)+(IKsign(sj3)))))+(IKabs((cj3+(((-1.0)*gconst12)))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x749=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+CheckValue<IkReal> x750=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x749))),-1);
+if(!x750.valid){
+continue;
+}
+if((((-1.0)*x749*(x750.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x749*(x750.value)));
+IkReal x751=(new_r00*new_r01);
+IkReal x752=(new_r10*new_r11);
+j5eval[0]=(x751+x752);
+j5eval[1]=IKsign(((((25000.0)*x752))+(((25000.0)*x751))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x753=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+CheckValue<IkReal> x754=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x753))),-1);
+if(!x754.valid){
+continue;
+}
+if((((-1.0)*x753*(x754.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x753*(x754.value)));
+IkReal x755=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x755;
+j5eval[1]=IKsign(x755);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x756=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+CheckValue<IkReal> x757=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x756))),-1);
+if(!x757.valid){
+continue;
+}
+if((((-1.0)*x756*(x757.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x756*(x757.value)));
+j5eval[0]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x758=new_r10*new_r10;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x759=IKPowWithIntegerCheck(((-1.0)+(((-1.6e-9)*x758))),-1);
+if(!x759.valid){
+continue;
+}
+if((((x759.value)*(((-1.0)+(((1.0)*x758)))))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((x759.value)*(((-1.0)+(((1.0)*x758))))));
+j5eval[0]=-1.0;
+j5eval[1]=-1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x760=gconst12*gconst12;
+IkReal x761=new_r00*new_r00;
+IkReal x762=(gconst12*new_r10);
+IkReal x763=((1.0)+(((-1.0)*x760)));
+IkReal x764=((3.90625000625e+17)*x760);
+if((x763) < -0.00001)
+continue;
+IkReal x765=IKsqrt(x763);
+IkReal x766=(new_r00*x765);
+CheckValue<IkReal> x767=IKPowWithIntegerCheck(((((-1.0)*x764*(new_r10*new_r10)))+(((3.90625e+17)*x761*(pow(x763,1.0))))),-1);
+if(!x767.valid){
+continue;
+}
+CheckValue<IkReal> x768=IKPowWithIntegerCheck(((((-25000.00002)*x762))+(((25000.0)*x766))),-1);
+if(!x768.valid){
+continue;
+}
+if( IKabs(((x767.value)*(((((-3.906250003125e+17)*x761*x762))+(((3.906250009375e+17)*x762*(gconst12*gconst12)))+(((-3.90625e+17)*x766*(new_r00*new_r00)))+((x764*x766)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x768.value)*(((((-25000.0)*new_r00*new_r10))+(((25000.00002)*gconst12*x765)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x767.value)*(((((-3.906250003125e+17)*x761*x762))+(((3.906250009375e+17)*x762*(gconst12*gconst12)))+(((-3.90625e+17)*x766*(new_r00*new_r00)))+((x764*x766))))))+IKsqr(((x768.value)*(((((-25000.0)*new_r00*new_r10))+(((25000.00002)*gconst12*x765))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x767.value)*(((((-3.906250003125e+17)*x761*x762))+(((3.906250009375e+17)*x762*(gconst12*gconst12)))+(((-3.90625e+17)*x766*(new_r00*new_r00)))+((x764*x766))))), ((x768.value)*(((((-25000.0)*new_r00*new_r10))+(((25000.00002)*gconst12*x765))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x769=IKcos(j5);
+IkReal x770=IKsin(j5);
+IkReal x771=((1.0)*gconst12);
+IkReal x772=((1.0000000008)*gconst12);
+IkReal x773=((1.0000000008)*x770);
+IkReal x774=(new_r00*x769);
+if((((1.0)+(((-1.0)*gconst12*x771)))) < -0.00001)
+continue;
+IkReal x775=IKsqrt(((1.0)+(((-1.0)*gconst12*x771))));
+IkReal x776=(x769*x775);
+evalcond[0]=((((-1.0)*new_r10*x770))+x774+(((-1.0)*x772)));
+evalcond[1]=(((new_r10*x769))+((new_r00*x770))+x775);
+evalcond[2]=((((-1.0)*new_r10*x773))+(((1.0000000008)*x774))+(((-1.0)*x771)));
+evalcond[3]=(((x770*x775))+(((-1.0)*x769*x772))+new_r00);
+evalcond[4]=(((x770*x772))+x776+new_r10);
+evalcond[5]=((((-1.0000000008)*x776))+(((-1.0)*x770*x771)));
+evalcond[6]=(((x773*x775))+(((-1.0)*x769*x771)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+IkReal x777=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+IkReal x778=((25000.0)*x777);
+CheckValue<IkReal> x779=IKPowWithIntegerCheck(IKsign(((((-25000.0)*(new_r10*new_r10)))+(((-25000.0)*(new_r00*new_r00))))),-1);
+if(!x779.valid){
+continue;
+}
+CheckValue<IkReal> x780 = IKatan2WithCheck(IkReal(((((25000.00002)*gconst12*new_r10))+((new_r00*x778)))),IkReal(((((-25000.00002)*gconst12*new_r00))+((new_r10*x778)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x780.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x779.value)))+(x780.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x781=IKcos(j5);
+IkReal x782=IKsin(j5);
+IkReal x783=((1.0)*gconst12);
+IkReal x784=((1.0000000008)*gconst12);
+IkReal x785=((1.0000000008)*x782);
+IkReal x786=(new_r00*x781);
+IkReal x787=x777;
+IkReal x788=(x781*x787);
+evalcond[0]=((((-1.0)*x784))+x786+(((-1.0)*new_r10*x782)));
+evalcond[1]=(((new_r10*x781))+((new_r00*x782))+x787);
+evalcond[2]=((((-1.0)*x783))+(((-1.0)*new_r10*x785))+(((1.0000000008)*x786)));
+evalcond[3]=(((x782*x787))+(((-1.0)*x781*x784))+new_r00);
+evalcond[4]=(((x782*x784))+x788+new_r10);
+evalcond[5]=((((-1.0)*x782*x783))+(((-1.0000000008)*x788)));
+evalcond[6]=(((x785*x787))+(((-1.0)*x781*x783)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r01);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x789=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+new_r01=0;
+CheckValue<IkReal> x790=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x789))),-1);
+if(!x790.valid){
+continue;
+}
+if((((-1.0)*x789*(x790.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x789*(x790.value)));
+IkReal x791=new_r10*new_r10;
+IkReal x792=new_r00*new_r00;
+IkReal x793=((1.0)*x792);
+j5eval[0]=new_r11;
+j5eval[1]=IKsign(new_r11);
+CheckValue<IkReal> x794=IKPowWithIntegerCheck(((((625000000.0)*x792))+(((625000001.0)*x791))),-1);
+if(!x794.valid){
+continue;
+}
+CheckValue<IkReal> x795=IKPowWithIntegerCheck(((((-1.0000000016)*x791))+(((-1.0)*x792))),-1);
+if(!x795.valid){
+continue;
+}
+j5eval[2]=((((625000002.0)*(pow(x791,1.0))*(pow(x794.value,1.0))))+(((-1.0)*x793*(x795.value))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x796=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+new_r01=0;
+CheckValue<IkReal> x797=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x796))),-1);
+if(!x797.valid){
+continue;
+}
+if((((-1.0)*x796*(x797.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x796*(x797.value)));
+j5eval[0]=new_r10;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x798=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst12);
+new_r01=0;
+CheckValue<IkReal> x799=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x798))),-1);
+if(!x799.valid){
+continue;
+}
+if((((-1.0)*x798*(x799.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x798*(x799.value)));
+j5eval[0]=new_r00;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x801=IKPowWithIntegerCheck(new_r11,-1);
+if(!x801.valid){
+continue;
+}
+IkReal x800=x801.value;
+CheckValue<IkReal> x802=IKPowWithIntegerCheck(new_r00,-1);
+if(!x802.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+if( IKabs((x800*(x802.value)*(((((-1.0)*new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))))+(((-1.0)*gconst12*new_r10)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst12*x800)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x800*(x802.value)*(((((-1.0)*new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))))+(((-1.0)*gconst12*new_r10))))))+IKsqr((gconst12*x800))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((x800*(x802.value)*(((((-1.0)*new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))))+(((-1.0)*gconst12*new_r10))))), (gconst12*x800));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x803=IKcos(j5);
+IkReal x804=IKsin(j5);
+IkReal x805=((1.0)*gconst12);
+IkReal x806=(gconst12*x803);
+IkReal x807=(new_r11*x804);
+IkReal x808=(new_r00*x803);
+IkReal x809=(gconst12*x804);
+IkReal x810=(new_r10*x804);
+if((((1.0)+(((-1.0)*gconst12*x805)))) < -0.00001)
+continue;
+IkReal x811=IKsqrt(((1.0)+(((-1.0)*gconst12*x805))));
+IkReal x812=(x804*x811);
+IkReal x813=(x803*x811);
+evalcond[0]=(((new_r11*x803))+(((-1.0)*x805)));
+evalcond[1]=((((-1.0000000008)*gconst12))+(((-1.0)*x810))+x808);
+evalcond[2]=(((new_r00*x804))+((new_r10*x803))+x811);
+evalcond[3]=((((-1.0)*x807))+(((-1.0000000008)*x811)));
+evalcond[4]=((((-1.0000000008)*x807))+(((-1.0)*x811)));
+evalcond[5]=((((1.0000000008)*x808))+(((-1.0)*x805))+(((-1.0000000008)*x810)));
+evalcond[6]=((((-1.0000000008)*x806))+new_r00+x812);
+evalcond[7]=((((1.0000000008)*x809))+new_r10+x813);
+evalcond[8]=((((-1.0)*x804*x805))+(((-1.0000000008)*x813)));
+evalcond[9]=((((1.0000000008)*x812))+(((-1.0)*x803*x805))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x815=IKPowWithIntegerCheck(new_r11,-1);
+if(!x815.valid){
+continue;
+}
+IkReal x814=x815.value;
+CheckValue<IkReal> x816=IKPowWithIntegerCheck(new_r10,-1);
+if(!x816.valid){
+continue;
+}
+if( IKabs(((4.0e-5)*x814*(x816.value)*(((((25000.0)*gconst12*new_r00))+(((-25000.00002)*gconst12*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst12*x814)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((4.0e-5)*x814*(x816.value)*(((((25000.0)*gconst12*new_r00))+(((-25000.00002)*gconst12*new_r11))))))+IKsqr((gconst12*x814))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((4.0e-5)*x814*(x816.value)*(((((25000.0)*gconst12*new_r00))+(((-25000.00002)*gconst12*new_r11))))), (gconst12*x814));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x817=IKcos(j5);
+IkReal x818=IKsin(j5);
+IkReal x819=((1.0)*gconst12);
+IkReal x820=(gconst12*x817);
+IkReal x821=(new_r11*x818);
+IkReal x822=(new_r00*x817);
+IkReal x823=(gconst12*x818);
+IkReal x824=(new_r10*x818);
+if((((1.0)+(((-1.0)*gconst12*x819)))) < -0.00001)
+continue;
+IkReal x825=IKsqrt(((1.0)+(((-1.0)*gconst12*x819))));
+IkReal x826=(x818*x825);
+IkReal x827=(x817*x825);
+evalcond[0]=(((new_r11*x817))+(((-1.0)*x819)));
+evalcond[1]=((((-1.0000000008)*gconst12))+(((-1.0)*x824))+x822);
+evalcond[2]=(((new_r00*x818))+((new_r10*x817))+x825);
+evalcond[3]=((((-1.0)*x821))+(((-1.0000000008)*x825)));
+evalcond[4]=((((-1.0)*x825))+(((-1.0000000008)*x821)));
+evalcond[5]=((((1.0000000008)*x822))+(((-1.0)*x819))+(((-1.0000000008)*x824)));
+evalcond[6]=(new_r00+x826+(((-1.0000000008)*x820)));
+evalcond[7]=((((1.0000000008)*x823))+new_r10+x827);
+evalcond[8]=((((-1.0)*x818*x819))+(((-1.0000000008)*x827)));
+evalcond[9]=((((-1.0)*x817*x819))+(((1.0000000008)*x826))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x828=IKPowWithIntegerCheck(IKsign(new_r11),-1);
+if(!x828.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+CheckValue<IkReal> x829 = IKatan2WithCheck(IkReal(((-1.0000000008)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))))),IkReal(gconst12),IKFAST_ATAN2_MAGTHRESH);
+if(!x829.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x828.value)))+(x829.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x830=IKcos(j5);
+IkReal x831=IKsin(j5);
+IkReal x832=((1.0)*gconst12);
+IkReal x833=(gconst12*x830);
+IkReal x834=(new_r11*x831);
+IkReal x835=(new_r00*x830);
+IkReal x836=(gconst12*x831);
+IkReal x837=(new_r10*x831);
+if((((1.0)+(((-1.0)*gconst12*x832)))) < -0.00001)
+continue;
+IkReal x838=IKsqrt(((1.0)+(((-1.0)*gconst12*x832))));
+IkReal x839=(x831*x838);
+IkReal x840=(x830*x838);
+evalcond[0]=(((new_r11*x830))+(((-1.0)*x832)));
+evalcond[1]=((((-1.0000000008)*gconst12))+(((-1.0)*x837))+x835);
+evalcond[2]=(((new_r00*x831))+x838+((new_r10*x830)));
+evalcond[3]=((((-1.0)*x834))+(((-1.0000000008)*x838)));
+evalcond[4]=((((-1.0)*x838))+(((-1.0000000008)*x834)));
+evalcond[5]=((((1.0000000008)*x835))+(((-1.0)*x832))+(((-1.0000000008)*x837)));
+evalcond[6]=((((-1.0000000008)*x833))+new_r00+x839);
+evalcond[7]=((((1.0000000008)*x836))+new_r10+x840);
+evalcond[8]=((((-1.0000000008)*x840))+(((-1.0)*x831*x832)));
+evalcond[9]=((((1.0000000008)*x839))+(((-1.0)*x830*x832))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+cj5array[0]=((-1.0)*new_r10);
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x841=IKsin(j5);
+IkReal x842=IKcos(j5);
+IkReal x843=(new_r10*x841);
+IkReal x844=((1.0000000008)*x842);
+evalcond[0]=x841;
+evalcond[1]=(new_r01*x841);
+evalcond[2]=((-1.0)*x843);
+evalcond[3]=((1.0)+((new_r10*x842)));
+evalcond[4]=((1.0000000008)*x841);
+evalcond[5]=((-1.0000000008)*x843);
+evalcond[6]=((((-1.0)*x844))+new_r01);
+evalcond[7]=((-1.0000000008)+((new_r01*x842)));
+evalcond[8]=((-1.0)+((new_r01*x844)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((-0.9999999992)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((0.9999999992)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11))+IKsqr(((0.9999999992)*new_r01))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11), ((0.9999999992)*new_r01));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x845=IKcos(j5);
+IkReal x846=IKsin(j5);
+IkReal x847=((1.0000000008)*x846);
+IkReal x848=((1.0000000008)*x845);
+evalcond[0]=x846;
+evalcond[1]=x845;
+evalcond[2]=((((-1.0)*x848))+new_r01);
+evalcond[3]=(new_r11+x847);
+evalcond[4]=(((new_r01*x846))+((new_r11*x845)));
+evalcond[5]=((-1.0000000008)+((new_r01*x845))+(((-1.0)*new_r11*x846)));
+evalcond[6]=((-1.0)+(((-1.0)*new_r11*x847))+((new_r01*x848)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x855=IKPowWithIntegerCheck(new_r01,-1);
+if(!x855.valid){
+continue;
+}
+IkReal x849=x855.value;
+IkReal x850=(gconst12*x849);
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+IkReal x851=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+IkReal x852=((25000.0)*x851);
+CheckValue<IkReal> x856=IKPowWithIntegerCheck(((((25000.00002)*gconst12*new_r01))+((new_r11*x852))),-1);
+if(!x856.valid){
+continue;
+}
+IkReal x853=x856.value;
+IkReal x854=((25000.0)*new_r11*x853);
+if( IKabs(((((-1.0)*new_r00*x854))+x850+(((-1.0)*new_r11*x850*x852*x853)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x853*((((gconst12*x852))+(((25000.0)*new_r00*new_r01)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*x854))+x850+(((-1.0)*new_r11*x850*x852*x853))))+IKsqr((x853*((((gconst12*x852))+(((25000.0)*new_r00*new_r01))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*new_r00*x854))+x850+(((-1.0)*new_r11*x850*x852*x853))), (x853*((((gconst12*x852))+(((25000.0)*new_r00*new_r01))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x857=IKcos(j5);
+IkReal x858=IKsin(j5);
+IkReal x859=((1.0)*gconst12);
+IkReal x860=(gconst12*x857);
+IkReal x861=(new_r11*x858);
+IkReal x862=(new_r01*x857);
+IkReal x863=(new_r00*x857);
+IkReal x864=(gconst12*x858);
+IkReal x865=(new_r10*x858);
+IkReal x866=x851;
+IkReal x867=(x858*x866);
+IkReal x868=(x857*x866);
+evalcond[0]=((((-1.0)*x859))+((new_r11*x857))+((new_r01*x858)));
+evalcond[1]=((((-1.0)*x865))+(((-1.0000000008)*gconst12))+x863);
+evalcond[2]=(((new_r10*x857))+x866+((new_r00*x858)));
+evalcond[3]=((((-1.0000000008)*x865))+(((1.0000000008)*x863))+(((-1.0)*x859)));
+evalcond[4]=((((-1.0000000008)*x860))+new_r00+x867);
+evalcond[5]=((((1.0000000008)*x864))+new_r10+x868);
+evalcond[6]=((((-1.0000000008)*x868))+(((-1.0)*x858*x859))+new_r01);
+evalcond[7]=((((1.0000000008)*x867))+new_r11+(((-1.0)*x857*x859)));
+evalcond[8]=((((-1.0000000008)*x866))+(((-1.0)*x861))+x862);
+evalcond[9]=((((-1.0000000008)*x861))+(((1.0000000008)*x862))+(((-1.0)*x866)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+IkReal x869=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+CheckValue<IkReal> x870 = IKatan2WithCheck(IkReal((((new_r11*x869))+((gconst12*new_r10)))),IkReal(((((-1.0)*gconst12*new_r00))+(((-1.0)*new_r01*x869)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x870.valid){
+continue;
+}
+CheckValue<IkReal> x871=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x871.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x870.value)+(((1.5707963267949)*(x871.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x872=IKcos(j5);
+IkReal x873=IKsin(j5);
+IkReal x874=((1.0)*gconst12);
+IkReal x875=(gconst12*x872);
+IkReal x876=(new_r11*x873);
+IkReal x877=(new_r01*x872);
+IkReal x878=(new_r00*x872);
+IkReal x879=(gconst12*x873);
+IkReal x880=(new_r10*x873);
+IkReal x881=x869;
+IkReal x882=(x873*x881);
+IkReal x883=(x872*x881);
+evalcond[0]=(((new_r01*x873))+((new_r11*x872))+(((-1.0)*x874)));
+evalcond[1]=((((-1.0)*x880))+(((-1.0000000008)*gconst12))+x878);
+evalcond[2]=(((new_r00*x873))+((new_r10*x872))+x881);
+evalcond[3]=((((1.0000000008)*x878))+(((-1.0000000008)*x880))+(((-1.0)*x874)));
+evalcond[4]=((((-1.0000000008)*x875))+new_r00+x882);
+evalcond[5]=((((1.0000000008)*x879))+new_r10+x883);
+evalcond[6]=((((-1.0)*x873*x874))+new_r01+(((-1.0000000008)*x883)));
+evalcond[7]=((((-1.0)*x872*x874))+(((1.0000000008)*x882))+new_r11);
+evalcond[8]=((((-1.0)*x876))+x877+(((-1.0000000008)*x881)));
+evalcond[9]=((((-1.0000000008)*x876))+(((1.0000000008)*x877))+(((-1.0)*x881)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x884=((25000.00002)*gconst12);
+IkReal x885=((25000.0)*new_r10);
+IkReal x886=((25000.0)*new_r00);
+CheckValue<IkReal> x887=IKPowWithIntegerCheck(IKsign((((new_r01*x886))+((new_r11*x885)))),-1);
+if(!x887.valid){
+continue;
+}
+CheckValue<IkReal> x888 = IKatan2WithCheck(IkReal(((((-1.0)*new_r11*x884))+((gconst12*x886)))),IkReal((((new_r01*x884))+((gconst12*x885)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x888.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x887.value)))+(x888.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x889=IKcos(j5);
+IkReal x890=IKsin(j5);
+IkReal x891=((1.0)*gconst12);
+IkReal x892=(gconst12*x889);
+IkReal x893=(new_r11*x890);
+IkReal x894=(new_r01*x889);
+IkReal x895=(new_r00*x889);
+IkReal x896=(gconst12*x890);
+IkReal x897=(new_r10*x890);
+if((((1.0)+(((-1.0)*gconst12*x891)))) < -0.00001)
+continue;
+IkReal x898=IKsqrt(((1.0)+(((-1.0)*gconst12*x891))));
+IkReal x899=(x890*x898);
+IkReal x900=(x889*x898);
+evalcond[0]=(((new_r11*x889))+((new_r01*x890))+(((-1.0)*x891)));
+evalcond[1]=((((-1.0)*x897))+(((-1.0000000008)*gconst12))+x895);
+evalcond[2]=(((new_r10*x889))+((new_r00*x890))+x898);
+evalcond[3]=((((1.0000000008)*x895))+(((-1.0)*x891))+(((-1.0000000008)*x897)));
+evalcond[4]=(new_r00+x899+(((-1.0000000008)*x892)));
+evalcond[5]=((((1.0000000008)*x896))+new_r10+x900);
+evalcond[6]=(new_r01+(((-1.0000000008)*x900))+(((-1.0)*x890*x891)));
+evalcond[7]=((((1.0000000008)*x899))+(((-1.0)*x889*x891))+new_r11);
+evalcond[8]=((((-1.0)*x893))+x894+(((-1.0000000008)*x898)));
+evalcond[9]=((((1.0000000008)*x894))+(((-1.0)*x898))+(((-1.0000000008)*x893)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x901=new_r00*new_r00;
+CheckValue<IkReal> x902=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x901))),-1);
+if(!x902.valid){
+continue;
+}
+if((((-1.0)*x901*(x902.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x901*(x902.value)));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.0)+(IKsign(sj3)))))+(IKabs((cj3+(((-1.0)*gconst12)))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x903=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst12)));
+CheckValue<IkReal> x904=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x903))),-1);
+if(!x904.valid){
+continue;
+}
+if((((-1.0)*x903*(x904.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x903*(x904.value)));
+IkReal x905=(new_r00*new_r01);
+IkReal x906=(new_r10*new_r11);
+j5eval[0]=(x905+x906);
+j5eval[1]=IKsign(((((25000.0)*x906))+(((25000.0)*x905))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x907=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst12)));
+CheckValue<IkReal> x908=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x907))),-1);
+if(!x908.valid){
+continue;
+}
+if((((-1.0)*x907*(x908.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x907*(x908.value)));
+IkReal x909=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x909;
+j5eval[1]=IKsign(x909);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x910=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst12)));
+CheckValue<IkReal> x911=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x910))),-1);
+if(!x911.valid){
+continue;
+}
+if((((-1.0)*x910*(x911.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x910*(x911.value)));
+j5eval[0]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r01);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+IkReal x912=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst12)));
+new_r01=0;
+CheckValue<IkReal> x913=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x912))),-1);
+if(!x913.valid){
+continue;
+}
+if((((-1.0)*x912*(x913.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x912*(x913.value)));
+j5eval[0]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x914=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst12)));
+new_r01=0;
+CheckValue<IkReal> x915=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x914))),-1);
+if(!x915.valid){
+continue;
+}
+if((((-1.0)*x914*(x915.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x914*(x915.value)));
+j5eval[0]=new_r10;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x916=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))));
+cj3=gconst12;
+if( (gconst12) < -1-IKFAST_SINCOS_THRESH || (gconst12) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst12)));
+new_r01=0;
+CheckValue<IkReal> x917=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x916))),-1);
+if(!x917.valid){
+continue;
+}
+if((((-1.0)*x916*(x917.value))) < -0.00001)
+continue;
+IkReal gconst12=IKsqrt(((-1.0)*x916*(x917.value)));
+j5eval[0]=new_r00;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x919=IKPowWithIntegerCheck(new_r11,-1);
+if(!x919.valid){
+continue;
+}
+IkReal x918=x919.value;
+CheckValue<IkReal> x920=IKPowWithIntegerCheck(new_r00,-1);
+if(!x920.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+if( IKabs((x918*(x920.value)*(((((-1.0)*gconst12*new_r10))+((new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst12*x918)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x918*(x920.value)*(((((-1.0)*gconst12*new_r10))+((new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))))))))+IKsqr((gconst12*x918))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((x918*(x920.value)*(((((-1.0)*gconst12*new_r10))+((new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))))))), (gconst12*x918));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x921=IKcos(j5);
+IkReal x922=IKsin(j5);
+IkReal x923=((1.0)*gconst12);
+IkReal x924=(gconst12*x921);
+IkReal x925=(new_r11*x922);
+IkReal x926=(new_r00*x921);
+IkReal x927=(gconst12*x922);
+IkReal x928=(new_r10*x922);
+if((((1.0)+(((-1.0)*gconst12*x923)))) < -0.00001)
+continue;
+IkReal x929=IKsqrt(((1.0)+(((-1.0)*gconst12*x923))));
+IkReal x930=((1.0)*x929);
+IkReal x931=((1.0000000008)*x929);
+evalcond[0]=((((-1.0)*x923))+((new_r11*x921)));
+evalcond[1]=((((-1.0000000008)*gconst12))+(((-1.0)*x928))+x926);
+evalcond[2]=((((-1.0000000008)*x925))+x929);
+evalcond[3]=((((-1.0)*x925))+x931);
+evalcond[4]=(((new_r00*x922))+((new_r10*x921))+(((-1.0)*x930)));
+evalcond[5]=((((-1.0)*x923))+(((-1.0000000008)*x928))+(((1.0000000008)*x926)));
+evalcond[6]=(((x921*x931))+(((-1.0)*x922*x923)));
+evalcond[7]=((((-1.0000000008)*x924))+new_r00+(((-1.0)*x922*x930)));
+evalcond[8]=((((1.0000000008)*x927))+(((-1.0)*x921*x930))+new_r10);
+evalcond[9]=((((-1.0)*x921*x923))+new_r11+(((-1.0)*x922*x931)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x933=IKPowWithIntegerCheck(new_r11,-1);
+if(!x933.valid){
+continue;
+}
+IkReal x932=x933.value;
+CheckValue<IkReal> x934=IKPowWithIntegerCheck(new_r10,-1);
+if(!x934.valid){
+continue;
+}
+if( IKabs(((4.0e-5)*x932*(x934.value)*(((((25000.0)*gconst12*new_r00))+(((-25000.00002)*gconst12*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst12*x932)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((4.0e-5)*x932*(x934.value)*(((((25000.0)*gconst12*new_r00))+(((-25000.00002)*gconst12*new_r11))))))+IKsqr((gconst12*x932))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((4.0e-5)*x932*(x934.value)*(((((25000.0)*gconst12*new_r00))+(((-25000.00002)*gconst12*new_r11))))), (gconst12*x932));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x935=IKcos(j5);
+IkReal x936=IKsin(j5);
+IkReal x937=((1.0)*gconst12);
+IkReal x938=(gconst12*x935);
+IkReal x939=(new_r11*x936);
+IkReal x940=(new_r00*x935);
+IkReal x941=(gconst12*x936);
+IkReal x942=(new_r10*x936);
+if((((1.0)+(((-1.0)*gconst12*x937)))) < -0.00001)
+continue;
+IkReal x943=IKsqrt(((1.0)+(((-1.0)*gconst12*x937))));
+IkReal x944=((1.0)*x943);
+IkReal x945=((1.0000000008)*x943);
+evalcond[0]=(((new_r11*x935))+(((-1.0)*x937)));
+evalcond[1]=((((-1.0)*x942))+(((-1.0000000008)*gconst12))+x940);
+evalcond[2]=((((-1.0000000008)*x939))+x943);
+evalcond[3]=((((-1.0)*x939))+x945);
+evalcond[4]=((((-1.0)*x944))+((new_r00*x936))+((new_r10*x935)));
+evalcond[5]=((((1.0000000008)*x940))+(((-1.0000000008)*x942))+(((-1.0)*x937)));
+evalcond[6]=(((x935*x945))+(((-1.0)*x936*x937)));
+evalcond[7]=((((-1.0000000008)*x938))+(((-1.0)*x936*x944))+new_r00);
+evalcond[8]=((((1.0000000008)*x941))+new_r10+(((-1.0)*x935*x944)));
+evalcond[9]=((((-1.0)*x935*x937))+(((-1.0)*x936*x945))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x947=IKPowWithIntegerCheck(new_r11,-1);
+if(!x947.valid){
+continue;
+}
+IkReal x946=x947.value;
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+if( IKabs(((0.9999999992)*x946*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst12*x946)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*x946*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))))+IKsqr((gconst12*x946))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*x946*(IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12))))))), (gconst12*x946));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x948=IKcos(j5);
+IkReal x949=IKsin(j5);
+IkReal x950=((1.0)*gconst12);
+IkReal x951=(gconst12*x948);
+IkReal x952=(new_r11*x949);
+IkReal x953=(new_r00*x948);
+IkReal x954=(gconst12*x949);
+IkReal x955=(new_r10*x949);
+if((((1.0)+(((-1.0)*gconst12*x950)))) < -0.00001)
+continue;
+IkReal x956=IKsqrt(((1.0)+(((-1.0)*gconst12*x950))));
+IkReal x957=((1.0)*x956);
+IkReal x958=((1.0000000008)*x956);
+evalcond[0]=(((new_r11*x948))+(((-1.0)*x950)));
+evalcond[1]=((((-1.0)*x955))+(((-1.0000000008)*gconst12))+x953);
+evalcond[2]=((((-1.0000000008)*x952))+x956);
+evalcond[3]=((((-1.0)*x952))+x958);
+evalcond[4]=(((new_r00*x949))+((new_r10*x948))+(((-1.0)*x957)));
+evalcond[5]=((((1.0000000008)*x953))+(((-1.0000000008)*x955))+(((-1.0)*x950)));
+evalcond[6]=(((x948*x958))+(((-1.0)*x949*x950)));
+evalcond[7]=((((-1.0000000008)*x951))+(((-1.0)*x949*x957))+new_r00);
+evalcond[8]=((((1.0000000008)*x954))+new_r10+(((-1.0)*x948*x957)));
+evalcond[9]=((((-1.0)*x949*x958))+new_r11+(((-1.0)*x948*x950)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+cj5array[0]=new_r10;
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x959=IKsin(j5);
+IkReal x960=IKcos(j5);
+IkReal x961=((1.0000000008)*x960);
+IkReal x962=((-1.0000000008)*x959);
+IkReal x963=((-1.0)*x959);
+evalcond[0]=(new_r01*x959);
+evalcond[1]=x963;
+evalcond[2]=(new_r10*x963);
+evalcond[3]=((-1.0)+((new_r10*x960)));
+evalcond[4]=x962;
+evalcond[5]=(new_r10*x962);
+evalcond[6]=(new_r01+x961);
+evalcond[7]=((1.0000000008)+((new_r01*x960)));
+evalcond[8]=((1.0)+((new_r01*x961)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((0.9999999992)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11))+IKsqr(((-0.9999999992)*new_r01))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11), ((-0.9999999992)*new_r01));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x964=IKcos(j5);
+IkReal x965=IKsin(j5);
+IkReal x966=((1.0000000008)*x965);
+IkReal x967=((1.0000000008)*x964);
+evalcond[0]=((-1.0)*x965);
+evalcond[1]=((-1.0)*x964);
+evalcond[2]=(new_r01+x967);
+evalcond[3]=(new_r11+(((-1.0)*x966)));
+evalcond[4]=(((new_r11*x964))+((new_r01*x965)));
+evalcond[5]=((1.0000000008)+((new_r01*x964))+(((-1.0)*new_r11*x965)));
+evalcond[6]=((1.0)+((new_r01*x967))+(((-1.0)*new_r11*x966)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x975=IKPowWithIntegerCheck(new_r01,-1);
+if(!x975.valid){
+continue;
+}
+IkReal x968=x975.value;
+IkReal x969=(gconst12*x968);
+IkReal x970=((25000.0)*new_r00);
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+IkReal x971=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+IkReal x972=((25000.0)*new_r11*x971);
+CheckValue<IkReal> x976=IKPowWithIntegerCheck(((((25000.00002)*gconst12*new_r01))+(((-1.0)*x972))),-1);
+if(!x976.valid){
+continue;
+}
+IkReal x973=x976.value;
+IkReal x974=((25000.0)*new_r11*x973);
+CheckValue<IkReal> x977=IKPowWithIntegerCheck(((((25000.00002)*gconst12*new_r01))+(((-25000.0)*new_r11*x971))),-1);
+if(!x977.valid){
+continue;
+}
+if( IKabs(((((-1.0)*new_r11*x970*x973))+((x969*x972*(x977.value)))+x969)) < IKFAST_ATAN2_MAGTHRESH && IKabs((x973*((((new_r01*x970))+(((-25000.0)*gconst12*x971)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r11*x970*x973))+((x969*x972*(x977.value)))+x969))+IKsqr((x973*((((new_r01*x970))+(((-25000.0)*gconst12*x971))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*new_r11*x970*x973))+((x969*x972*(x977.value)))+x969), (x973*((((new_r01*x970))+(((-25000.0)*gconst12*x971))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x978=IKcos(j5);
+IkReal x979=IKsin(j5);
+IkReal x980=((1.0)*gconst12);
+IkReal x981=(gconst12*x978);
+IkReal x982=(new_r11*x979);
+IkReal x983=(new_r01*x978);
+IkReal x984=(new_r00*x978);
+IkReal x985=(gconst12*x979);
+IkReal x986=(new_r10*x979);
+IkReal x987=x971;
+IkReal x988=((1.0)*x987);
+IkReal x989=((1.0000000008)*x987);
+evalcond[0]=((((-1.0)*x980))+((new_r01*x979))+((new_r11*x978)));
+evalcond[1]=((((-1.0)*x986))+(((-1.0000000008)*gconst12))+x984);
+evalcond[2]=((((-1.0)*x988))+((new_r10*x978))+((new_r00*x979)));
+evalcond[3]=((((-1.0)*x980))+(((-1.0000000008)*x986))+(((1.0000000008)*x984)));
+evalcond[4]=((((-1.0000000008)*x981))+new_r00+(((-1.0)*x979*x988)));
+evalcond[5]=((((-1.0)*x978*x988))+new_r10+(((1.0000000008)*x985)));
+evalcond[6]=(new_r01+(((-1.0)*x979*x980))+((x978*x989)));
+evalcond[7]=((((-1.0)*x978*x980))+new_r11+(((-1.0)*x979*x989)));
+evalcond[8]=((((-1.0)*x982))+x989+x983);
+evalcond[9]=((((-1.0000000008)*x982))+(((1.0000000008)*x983))+x987);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x990=((1.0)*new_r11);
+if((((1.0)+(((-1.0)*(gconst12*gconst12))))) < -0.00001)
+continue;
+IkReal x991=IKsqrt(((1.0)+(((-1.0)*(gconst12*gconst12)))));
+CheckValue<IkReal> x992=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r00*x990))+((new_r01*new_r10)))),-1);
+if(!x992.valid){
+continue;
+}
+CheckValue<IkReal> x993 = IKatan2WithCheck(IkReal(((((-1.0)*x990*x991))+((gconst12*new_r10)))),IkReal(((((-1.0)*gconst12*new_r00))+((new_r01*x991)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x993.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x992.value)))+(x993.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x994=IKcos(j5);
+IkReal x995=IKsin(j5);
+IkReal x996=((1.0)*gconst12);
+IkReal x997=(gconst12*x994);
+IkReal x998=(new_r11*x995);
+IkReal x999=(new_r01*x994);
+IkReal x1000=(new_r00*x994);
+IkReal x1001=(gconst12*x995);
+IkReal x1002=(new_r10*x995);
+IkReal x1003=x991;
+IkReal x1004=((1.0)*x1003);
+IkReal x1005=((1.0000000008)*x1003);
+evalcond[0]=(((new_r11*x994))+(((-1.0)*x996))+((new_r01*x995)));
+evalcond[1]=((((-1.0)*x1002))+x1000+(((-1.0000000008)*gconst12)));
+evalcond[2]=((((-1.0)*x1004))+((new_r10*x994))+((new_r00*x995)));
+evalcond[3]=((((-1.0000000008)*x1002))+(((1.0000000008)*x1000))+(((-1.0)*x996)));
+evalcond[4]=((((-1.0000000008)*x997))+(((-1.0)*x1004*x995))+new_r00);
+evalcond[5]=((((1.0000000008)*x1001))+(((-1.0)*x1004*x994))+new_r10);
+evalcond[6]=((((-1.0)*x995*x996))+new_r01+((x1005*x994)));
+evalcond[7]=((((-1.0)*x994*x996))+new_r11+(((-1.0)*x1005*x995)));
+evalcond[8]=((((-1.0)*x998))+x1005+x999);
+evalcond[9]=(x1003+(((-1.0000000008)*x998))+(((1.0000000008)*x999)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1006=((25000.00002)*gconst12);
+IkReal x1007=((25000.0)*new_r10);
+IkReal x1008=((25000.0)*new_r00);
+CheckValue<IkReal> x1009=IKPowWithIntegerCheck(IKsign((((new_r11*x1007))+((new_r01*x1008)))),-1);
+if(!x1009.valid){
+continue;
+}
+CheckValue<IkReal> x1010 = IKatan2WithCheck(IkReal((((gconst12*x1008))+(((-1.0)*new_r11*x1006)))),IkReal((((gconst12*x1007))+((new_r01*x1006)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1010.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1009.value)))+(x1010.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1011=IKcos(j5);
+IkReal x1012=IKsin(j5);
+IkReal x1013=((1.0)*gconst12);
+IkReal x1014=(gconst12*x1011);
+IkReal x1015=(new_r11*x1012);
+IkReal x1016=(new_r01*x1011);
+IkReal x1017=(new_r00*x1011);
+IkReal x1018=(gconst12*x1012);
+IkReal x1019=(new_r10*x1012);
+if((((1.0)+(((-1.0)*gconst12*x1013)))) < -0.00001)
+continue;
+IkReal x1020=IKsqrt(((1.0)+(((-1.0)*gconst12*x1013))));
+IkReal x1021=((1.0)*x1020);
+IkReal x1022=((1.0000000008)*x1020);
+evalcond[0]=(((new_r11*x1011))+(((-1.0)*x1013))+((new_r01*x1012)));
+evalcond[1]=(x1017+(((-1.0000000008)*gconst12))+(((-1.0)*x1019)));
+evalcond[2]=(((new_r10*x1011))+(((-1.0)*x1021))+((new_r00*x1012)));
+evalcond[3]=((((-1.0000000008)*x1019))+(((-1.0)*x1013))+(((1.0000000008)*x1017)));
+evalcond[4]=((((-1.0000000008)*x1014))+new_r00+(((-1.0)*x1012*x1021)));
+evalcond[5]=((((1.0000000008)*x1018))+new_r10+(((-1.0)*x1011*x1021)));
+evalcond[6]=((((-1.0)*x1012*x1013))+((x1011*x1022))+new_r01);
+evalcond[7]=((((-1.0)*x1011*x1013))+new_r11+(((-1.0)*x1012*x1022)));
+evalcond[8]=(x1016+x1022+(((-1.0)*x1015)));
+evalcond[9]=((((-1.0000000008)*x1015))+x1020+(((1.0000000008)*x1016)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1023=new_r00*new_r00;
+CheckValue<IkReal> x1024=IKPowWithIntegerCheck(((((-1.0)*x1023))+(((-1.0000000016)*(new_r10*new_r10)))),-1);
+if(!x1024.valid){
+continue;
+}
+if((((-1.0)*x1023*(x1024.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1023*(x1024.value)))));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.0)+(IKsign(sj3)))))+(IKabs((cj3+(((-1.0)*gconst13)))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x1025=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+CheckValue<IkReal> x1026=IKPowWithIntegerCheck(((((-1.0)*x1025))+(((-1.0000000016)*(new_r10*new_r10)))),-1);
+if(!x1026.valid){
+continue;
+}
+if((((-1.0)*x1025*(x1026.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1025*(x1026.value)))));
+IkReal x1027=(new_r00*new_r01);
+IkReal x1028=(new_r10*new_r11);
+j5eval[0]=(x1027+x1028);
+j5eval[1]=IKsign(((((25000.0)*x1028))+(((25000.0)*x1027))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1029=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+CheckValue<IkReal> x1030=IKPowWithIntegerCheck(((((-1.0)*x1029))+(((-1.0000000016)*(new_r10*new_r10)))),-1);
+if(!x1030.valid){
+continue;
+}
+if((((-1.0)*x1029*(x1030.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1029*(x1030.value)))));
+IkReal x1031=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x1031;
+j5eval[1]=IKsign(x1031);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1032=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+CheckValue<IkReal> x1033=IKPowWithIntegerCheck(((((-1.0)*x1032))+(((-1.0000000016)*(new_r10*new_r10)))),-1);
+if(!x1033.valid){
+continue;
+}
+if((((-1.0)*x1032*(x1033.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1032*(x1033.value)))));
+j5eval[0]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x1034=new_r10*new_r10;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1035=IKPowWithIntegerCheck(((-1.0)+(((-1.6e-9)*x1034))),-1);
+if(!x1035.valid){
+continue;
+}
+if((((x1035.value)*(((-1.0)+(((1.0)*x1034)))))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((x1035.value)*(((-1.0)+(((1.0)*x1034))))))));
+j5eval[0]=-1.0;
+j5eval[1]=-1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1036=gconst13*gconst13;
+IkReal x1037=new_r00*new_r00;
+IkReal x1038=(gconst13*new_r10);
+IkReal x1039=((1.0)+(((-1.0)*x1036)));
+IkReal x1040=((3.90625000625e+17)*x1036);
+if((x1039) < -0.00001)
+continue;
+IkReal x1041=IKsqrt(x1039);
+IkReal x1042=(new_r00*x1041);
+CheckValue<IkReal> x1043=IKPowWithIntegerCheck(((((-1.0)*x1040*(new_r10*new_r10)))+(((3.90625e+17)*x1037*(pow(x1039,1.0))))),-1);
+if(!x1043.valid){
+continue;
+}
+CheckValue<IkReal> x1044=IKPowWithIntegerCheck(((((25000.0)*x1042))+(((-25000.00002)*x1038))),-1);
+if(!x1044.valid){
+continue;
+}
+if( IKabs(((x1043.value)*(((((3.906250009375e+17)*x1038*(gconst13*gconst13)))+((x1040*x1042))+(((-3.906250003125e+17)*x1037*x1038))+(((-3.90625e+17)*x1042*(new_r00*new_r00))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x1044.value)*(((((-25000.0)*new_r00*new_r10))+(((25000.00002)*gconst13*x1041)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x1043.value)*(((((3.906250009375e+17)*x1038*(gconst13*gconst13)))+((x1040*x1042))+(((-3.906250003125e+17)*x1037*x1038))+(((-3.90625e+17)*x1042*(new_r00*new_r00)))))))+IKsqr(((x1044.value)*(((((-25000.0)*new_r00*new_r10))+(((25000.00002)*gconst13*x1041))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x1043.value)*(((((3.906250009375e+17)*x1038*(gconst13*gconst13)))+((x1040*x1042))+(((-3.906250003125e+17)*x1037*x1038))+(((-3.90625e+17)*x1042*(new_r00*new_r00)))))), ((x1044.value)*(((((-25000.0)*new_r00*new_r10))+(((25000.00002)*gconst13*x1041))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1045=IKcos(j5);
+IkReal x1046=IKsin(j5);
+IkReal x1047=((1.0000000008)*gconst13);
+IkReal x1048=((1.0)*gconst13);
+IkReal x1049=((1.0000000008)*x1046);
+IkReal x1050=(new_r00*x1045);
+if((((1.0)+(((-1.0)*gconst13*x1048)))) < -0.00001)
+continue;
+IkReal x1051=IKsqrt(((1.0)+(((-1.0)*gconst13*x1048))));
+IkReal x1052=(x1045*x1051);
+evalcond[0]=(x1050+(((-1.0)*new_r10*x1046))+(((-1.0)*x1047)));
+evalcond[1]=(x1051+((new_r00*x1046))+((new_r10*x1045)));
+evalcond[2]=((((-1.0)*new_r10*x1049))+(((-1.0)*x1048))+(((1.0000000008)*x1050)));
+evalcond[3]=((((-1.0)*x1045*x1047))+new_r00+((x1046*x1051)));
+evalcond[4]=(x1052+new_r10+((x1046*x1047)));
+evalcond[5]=((((-1.0)*x1046*x1048))+(((-1.0000000008)*x1052)));
+evalcond[6]=((((-1.0)*x1045*x1048))+((x1049*x1051)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+IkReal x1053=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+IkReal x1054=((25000.0)*x1053);
+CheckValue<IkReal> x1055=IKPowWithIntegerCheck(IKsign(((((-25000.0)*(new_r10*new_r10)))+(((-25000.0)*(new_r00*new_r00))))),-1);
+if(!x1055.valid){
+continue;
+}
+CheckValue<IkReal> x1056 = IKatan2WithCheck(IkReal(((((25000.00002)*gconst13*new_r10))+((new_r00*x1054)))),IkReal((((new_r10*x1054))+(((-25000.00002)*gconst13*new_r00)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1056.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1055.value)))+(x1056.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1057=IKcos(j5);
+IkReal x1058=IKsin(j5);
+IkReal x1059=((1.0000000008)*gconst13);
+IkReal x1060=((1.0)*gconst13);
+IkReal x1061=((1.0000000008)*x1058);
+IkReal x1062=(new_r00*x1057);
+IkReal x1063=x1053;
+IkReal x1064=(x1057*x1063);
+evalcond[0]=((((-1.0)*x1059))+x1062+(((-1.0)*new_r10*x1058)));
+evalcond[1]=(x1063+((new_r00*x1058))+((new_r10*x1057)));
+evalcond[2]=((((-1.0)*new_r10*x1061))+(((1.0000000008)*x1062))+(((-1.0)*x1060)));
+evalcond[3]=((((-1.0)*x1057*x1059))+new_r00+((x1058*x1063)));
+evalcond[4]=(x1064+new_r10+((x1058*x1059)));
+evalcond[5]=((((-1.0000000008)*x1064))+(((-1.0)*x1058*x1060)));
+evalcond[6]=(((x1061*x1063))+(((-1.0)*x1057*x1060)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r01);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x1065=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+new_r01=0;
+CheckValue<IkReal> x1066=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1065))),-1);
+if(!x1066.valid){
+continue;
+}
+if((((-1.0)*x1065*(x1066.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1065*(x1066.value)))));
+IkReal x1067=new_r10*new_r10;
+IkReal x1068=new_r00*new_r00;
+IkReal x1069=((1.0)*x1068);
+j5eval[0]=new_r11;
+j5eval[1]=IKsign(new_r11);
+CheckValue<IkReal> x1070=IKPowWithIntegerCheck(((((625000000.0)*x1068))+(((625000001.0)*x1067))),-1);
+if(!x1070.valid){
+continue;
+}
+CheckValue<IkReal> x1071=IKPowWithIntegerCheck(((((-1.0000000016)*x1067))+(((-1.0)*x1068))),-1);
+if(!x1071.valid){
+continue;
+}
+j5eval[2]=((((625000002.0)*(pow(x1067,1.0))*(pow(x1070.value,1.0))))+(((-1.0)*x1069*(x1071.value))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1072=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+new_r01=0;
+CheckValue<IkReal> x1073=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1072))),-1);
+if(!x1073.valid){
+continue;
+}
+if((((-1.0)*x1072*(x1073.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1072*(x1073.value)))));
+j5eval[0]=new_r10;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1074=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=IKacos(gconst13);
+new_r01=0;
+CheckValue<IkReal> x1075=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1074))),-1);
+if(!x1075.valid){
+continue;
+}
+if((((-1.0)*x1074*(x1075.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1074*(x1075.value)))));
+j5eval[0]=new_r00;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1077=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1077.valid){
+continue;
+}
+IkReal x1076=x1077.value;
+CheckValue<IkReal> x1078=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1078.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+if( IKabs((x1076*(x1078.value)*(((((-1.0)*gconst13*new_r10))+(((-1.0)*new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst13*x1076)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x1076*(x1078.value)*(((((-1.0)*gconst13*new_r10))+(((-1.0)*new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13))))))))))))+IKsqr((gconst13*x1076))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((x1076*(x1078.value)*(((((-1.0)*gconst13*new_r10))+(((-1.0)*new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13))))))))))), (gconst13*x1076));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1079=IKcos(j5);
+IkReal x1080=IKsin(j5);
+IkReal x1081=((1.0)*gconst13);
+IkReal x1082=((1.0000000008)*x1080);
+IkReal x1083=((1.0)*x1080);
+IkReal x1084=((1.0000000008)*x1079);
+if((((1.0)+(((-1.0)*gconst13*x1081)))) < -0.00001)
+continue;
+IkReal x1085=IKsqrt(((1.0)+(((-1.0)*gconst13*x1081))));
+evalcond[0]=(((new_r11*x1079))+(((-1.0)*x1081)));
+evalcond[1]=((((-1.0)*new_r10*x1083))+(((-1.0000000008)*gconst13))+((new_r00*x1079)));
+evalcond[2]=(x1085+((new_r00*x1080))+((new_r10*x1079)));
+evalcond[3]=((((-1.0)*new_r11*x1083))+(((-1.0000000008)*x1085)));
+evalcond[4]=((((-1.0)*new_r11*x1082))+(((-1.0)*x1085)));
+evalcond[5]=((((-1.0)*new_r10*x1082))+((new_r00*x1084))+(((-1.0)*x1081)));
+evalcond[6]=(((x1080*x1085))+new_r00+(((-1.0)*gconst13*x1084)));
+evalcond[7]=(((x1079*x1085))+((gconst13*x1082))+new_r10);
+evalcond[8]=((((-1.0)*x1080*x1081))+(((-1.0)*x1084*x1085)));
+evalcond[9]=(((x1082*x1085))+(((-1.0)*x1079*x1081))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1087=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1087.valid){
+continue;
+}
+IkReal x1086=x1087.value;
+CheckValue<IkReal> x1088=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1088.valid){
+continue;
+}
+if( IKabs(((4.0e-5)*x1086*(x1088.value)*(((((25000.0)*gconst13*new_r00))+(((-25000.00002)*gconst13*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst13*x1086)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((4.0e-5)*x1086*(x1088.value)*(((((25000.0)*gconst13*new_r00))+(((-25000.00002)*gconst13*new_r11))))))+IKsqr((gconst13*x1086))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((4.0e-5)*x1086*(x1088.value)*(((((25000.0)*gconst13*new_r00))+(((-25000.00002)*gconst13*new_r11))))), (gconst13*x1086));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1089=IKcos(j5);
+IkReal x1090=IKsin(j5);
+IkReal x1091=((1.0)*gconst13);
+IkReal x1092=((1.0000000008)*x1090);
+IkReal x1093=((1.0)*x1090);
+IkReal x1094=((1.0000000008)*x1089);
+if((((1.0)+(((-1.0)*gconst13*x1091)))) < -0.00001)
+continue;
+IkReal x1095=IKsqrt(((1.0)+(((-1.0)*gconst13*x1091))));
+evalcond[0]=((((-1.0)*x1091))+((new_r11*x1089)));
+evalcond[1]=(((new_r00*x1089))+(((-1.0000000008)*gconst13))+(((-1.0)*new_r10*x1093)));
+evalcond[2]=(((new_r00*x1090))+x1095+((new_r10*x1089)));
+evalcond[3]=((((-1.0000000008)*x1095))+(((-1.0)*new_r11*x1093)));
+evalcond[4]=((((-1.0)*x1095))+(((-1.0)*new_r11*x1092)));
+evalcond[5]=(((new_r00*x1094))+(((-1.0)*x1091))+(((-1.0)*new_r10*x1092)));
+evalcond[6]=((((-1.0)*gconst13*x1094))+new_r00+((x1090*x1095)));
+evalcond[7]=(((x1089*x1095))+new_r10+((gconst13*x1092)));
+evalcond[8]=((((-1.0)*x1090*x1091))+(((-1.0)*x1094*x1095)));
+evalcond[9]=((((-1.0)*x1089*x1091))+((x1092*x1095))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1096=IKPowWithIntegerCheck(IKsign(new_r11),-1);
+if(!x1096.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+CheckValue<IkReal> x1097 = IKatan2WithCheck(IkReal(((-1.0000000008)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))))),IkReal(gconst13),IKFAST_ATAN2_MAGTHRESH);
+if(!x1097.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1096.value)))+(x1097.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1098=IKcos(j5);
+IkReal x1099=IKsin(j5);
+IkReal x1100=((1.0)*gconst13);
+IkReal x1101=((1.0000000008)*x1099);
+IkReal x1102=((1.0)*x1099);
+IkReal x1103=((1.0000000008)*x1098);
+if((((1.0)+(((-1.0)*gconst13*x1100)))) < -0.00001)
+continue;
+IkReal x1104=IKsqrt(((1.0)+(((-1.0)*gconst13*x1100))));
+evalcond[0]=(((new_r11*x1098))+(((-1.0)*x1100)));
+evalcond[1]=(((new_r00*x1098))+(((-1.0000000008)*gconst13))+(((-1.0)*new_r10*x1102)));
+evalcond[2]=(x1104+((new_r00*x1099))+((new_r10*x1098)));
+evalcond[3]=((((-1.0000000008)*x1104))+(((-1.0)*new_r11*x1102)));
+evalcond[4]=((((-1.0)*x1104))+(((-1.0)*new_r11*x1101)));
+evalcond[5]=(((new_r00*x1103))+(((-1.0)*new_r10*x1101))+(((-1.0)*x1100)));
+evalcond[6]=(((x1099*x1104))+new_r00+(((-1.0)*gconst13*x1103)));
+evalcond[7]=(((x1098*x1104))+((gconst13*x1101))+new_r10);
+evalcond[8]=((((-1.0)*x1103*x1104))+(((-1.0)*x1099*x1100)));
+evalcond[9]=((((-1.0)*x1098*x1100))+((x1101*x1104))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+cj5array[0]=((-1.0)*new_r10);
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x1105=IKsin(j5);
+IkReal x1106=IKcos(j5);
+IkReal x1107=(new_r10*x1105);
+IkReal x1108=((1.0000000008)*x1106);
+evalcond[0]=x1105;
+evalcond[1]=(new_r01*x1105);
+evalcond[2]=((-1.0)*x1107);
+evalcond[3]=((1.0)+((new_r10*x1106)));
+evalcond[4]=((1.0000000008)*x1105);
+evalcond[5]=((-1.0000000008)*x1107);
+evalcond[6]=(new_r01+(((-1.0)*x1108)));
+evalcond[7]=((-1.0000000008)+((new_r01*x1106)));
+evalcond[8]=((-1.0)+((new_r01*x1108)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((-0.9999999992)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((0.9999999992)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11))+IKsqr(((0.9999999992)*new_r01))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11), ((0.9999999992)*new_r01));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1109=IKcos(j5);
+IkReal x1110=IKsin(j5);
+IkReal x1111=((1.0000000008)*x1110);
+IkReal x1112=((1.0000000008)*x1109);
+evalcond[0]=x1110;
+evalcond[1]=x1109;
+evalcond[2]=(new_r01+(((-1.0)*x1112)));
+evalcond[3]=(x1111+new_r11);
+evalcond[4]=(((new_r11*x1109))+((new_r01*x1110)));
+evalcond[5]=((-1.0000000008)+((new_r01*x1109))+(((-1.0)*new_r11*x1110)));
+evalcond[6]=((-1.0)+((new_r01*x1112))+(((-1.0)*new_r11*x1111)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1120=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1120.valid){
+continue;
+}
+IkReal x1113=x1120.value;
+IkReal x1114=((25000.0)*new_r00);
+IkReal x1115=(gconst13*x1113);
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+IkReal x1116=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+IkReal x1117=((25000.0)*x1116);
+CheckValue<IkReal> x1121=IKPowWithIntegerCheck(((((25000.00002)*gconst13*new_r01))+((new_r11*x1117))),-1);
+if(!x1121.valid){
+continue;
+}
+IkReal x1118=x1121.value;
+IkReal x1119=(new_r11*x1118);
+if( IKabs((x1115+(((-1.0)*x1114*x1119))+(((-1.0)*x1115*x1117*x1119)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1118*((((gconst13*x1117))+((new_r01*x1114)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x1115+(((-1.0)*x1114*x1119))+(((-1.0)*x1115*x1117*x1119))))+IKsqr((x1118*((((gconst13*x1117))+((new_r01*x1114))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((x1115+(((-1.0)*x1114*x1119))+(((-1.0)*x1115*x1117*x1119))), (x1118*((((gconst13*x1117))+((new_r01*x1114))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1122=IKcos(j5);
+IkReal x1123=IKsin(j5);
+IkReal x1124=((1.0)*gconst13);
+IkReal x1125=((1.0000000008)*x1123);
+IkReal x1126=((1.0)*x1123);
+IkReal x1127=((1.0000000008)*x1122);
+IkReal x1128=x1116;
+evalcond[0]=(((new_r01*x1123))+(((-1.0)*x1124))+((new_r11*x1122)));
+evalcond[1]=((((-1.0)*new_r10*x1126))+(((-1.0000000008)*gconst13))+((new_r00*x1122)));
+evalcond[2]=(x1128+((new_r10*x1122))+((new_r00*x1123)));
+evalcond[3]=((((-1.0)*new_r10*x1125))+(((-1.0)*x1124))+((new_r00*x1127)));
+evalcond[4]=((((-1.0)*gconst13*x1127))+new_r00+((x1123*x1128)));
+evalcond[5]=(((gconst13*x1125))+((x1122*x1128))+new_r10);
+evalcond[6]=((((-1.0)*x1123*x1124))+(((-1.0)*x1127*x1128))+new_r01);
+evalcond[7]=((((-1.0)*x1122*x1124))+((x1125*x1128))+new_r11);
+evalcond[8]=((((-1.0)*new_r11*x1126))+((new_r01*x1122))+(((-1.0000000008)*x1128)));
+evalcond[9]=((((-1.0)*new_r11*x1125))+((new_r01*x1127))+(((-1.0)*x1128)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+IkReal x1129=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+CheckValue<IkReal> x1130 = IKatan2WithCheck(IkReal((((gconst13*new_r10))+((new_r11*x1129)))),IkReal(((((-1.0)*new_r01*x1129))+(((-1.0)*gconst13*new_r00)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1130.valid){
+continue;
+}
+CheckValue<IkReal> x1131=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)))),-1);
+if(!x1131.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1130.value)+(((1.5707963267949)*(x1131.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1132=IKcos(j5);
+IkReal x1133=IKsin(j5);
+IkReal x1134=((1.0)*gconst13);
+IkReal x1135=((1.0000000008)*x1133);
+IkReal x1136=((1.0)*x1133);
+IkReal x1137=((1.0000000008)*x1132);
+IkReal x1138=x1129;
+evalcond[0]=((((-1.0)*x1134))+((new_r11*x1132))+((new_r01*x1133)));
+evalcond[1]=((((-1.0)*new_r10*x1136))+(((-1.0000000008)*gconst13))+((new_r00*x1132)));
+evalcond[2]=(x1138+((new_r00*x1133))+((new_r10*x1132)));
+evalcond[3]=((((-1.0)*new_r10*x1135))+(((-1.0)*x1134))+((new_r00*x1137)));
+evalcond[4]=((((-1.0)*gconst13*x1137))+new_r00+((x1133*x1138)));
+evalcond[5]=(((gconst13*x1135))+new_r10+((x1132*x1138)));
+evalcond[6]=(new_r01+(((-1.0)*x1137*x1138))+(((-1.0)*x1133*x1134)));
+evalcond[7]=(((x1135*x1138))+(((-1.0)*x1132*x1134))+new_r11);
+evalcond[8]=((((-1.0)*new_r11*x1136))+(((-1.0000000008)*x1138))+((new_r01*x1132)));
+evalcond[9]=((((-1.0)*new_r11*x1135))+((new_r01*x1137))+(((-1.0)*x1138)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1139=((25000.0)*gconst13);
+IkReal x1140=((25000.00002)*gconst13);
+CheckValue<IkReal> x1141=IKPowWithIntegerCheck(IKsign(((((25000.0)*new_r10*new_r11))+(((25000.0)*new_r00*new_r01)))),-1);
+if(!x1141.valid){
+continue;
+}
+CheckValue<IkReal> x1142 = IKatan2WithCheck(IkReal(((((-1.0)*new_r11*x1140))+((new_r00*x1139)))),IkReal((((new_r01*x1140))+((new_r10*x1139)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1142.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1141.value)))+(x1142.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1143=IKcos(j5);
+IkReal x1144=IKsin(j5);
+IkReal x1145=((1.0)*gconst13);
+IkReal x1146=((1.0000000008)*x1144);
+IkReal x1147=((1.0)*x1144);
+IkReal x1148=((1.0000000008)*x1143);
+if((((1.0)+(((-1.0)*gconst13*x1145)))) < -0.00001)
+continue;
+IkReal x1149=IKsqrt(((1.0)+(((-1.0)*gconst13*x1145))));
+evalcond[0]=((((-1.0)*x1145))+((new_r01*x1144))+((new_r11*x1143)));
+evalcond[1]=(((new_r00*x1143))+(((-1.0000000008)*gconst13))+(((-1.0)*new_r10*x1147)));
+evalcond[2]=(x1149+((new_r00*x1144))+((new_r10*x1143)));
+evalcond[3]=(((new_r00*x1148))+(((-1.0)*x1145))+(((-1.0)*new_r10*x1146)));
+evalcond[4]=((((-1.0)*gconst13*x1148))+new_r00+((x1144*x1149)));
+evalcond[5]=(((x1143*x1149))+((gconst13*x1146))+new_r10);
+evalcond[6]=(new_r01+(((-1.0)*x1148*x1149))+(((-1.0)*x1144*x1145)));
+evalcond[7]=((((-1.0)*x1143*x1145))+((x1146*x1149))+new_r11);
+evalcond[8]=(((new_r01*x1143))+(((-1.0)*new_r11*x1147))+(((-1.0000000008)*x1149)));
+evalcond[9]=(((new_r01*x1148))+(((-1.0)*x1149))+(((-1.0)*new_r11*x1146)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1150=new_r00*new_r00;
+CheckValue<IkReal> x1151=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1150))),-1);
+if(!x1151.valid){
+continue;
+}
+if((((-1.0)*x1150*(x1151.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1150*(x1151.value)))));
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs((cj3+(((-1.0)*gconst13)))))+(IKabs(((1.0)+(IKsign(sj3)))))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x1152=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst13)));
+CheckValue<IkReal> x1153=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1152))),-1);
+if(!x1153.valid){
+continue;
+}
+if((((-1.0)*x1152*(x1153.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1152*(x1153.value)))));
+IkReal x1154=(new_r00*new_r01);
+IkReal x1155=(new_r10*new_r11);
+j5eval[0]=(x1155+x1154);
+j5eval[1]=IKsign(((((25000.0)*x1155))+(((25000.0)*x1154))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1156=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst13)));
+CheckValue<IkReal> x1157=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1156))),-1);
+if(!x1157.valid){
+continue;
+}
+if((((-1.0)*x1156*(x1157.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1156*(x1157.value)))));
+IkReal x1158=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x1158;
+j5eval[1]=IKsign(x1158);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1159=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst13)));
+CheckValue<IkReal> x1160=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1159))),-1);
+if(!x1160.valid){
+continue;
+}
+if((((-1.0)*x1159*(x1160.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1159*(x1160.value)))));
+j5eval[0]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r01);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+IkReal x1161=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst13)));
+new_r01=0;
+CheckValue<IkReal> x1162=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1161))),-1);
+if(!x1162.valid){
+continue;
+}
+if((((-1.0)*x1161*(x1162.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1161*(x1162.value)))));
+j5eval[0]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1163=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst13)));
+new_r01=0;
+CheckValue<IkReal> x1164=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1163))),-1);
+if(!x1164.valid){
+continue;
+}
+if((((-1.0)*x1163*(x1164.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1163*(x1164.value)))));
+j5eval[0]=new_r10;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1165=new_r00*new_r00;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+sj3=((-1.0)*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))));
+cj3=gconst13;
+if( (gconst13) < -1-IKFAST_SINCOS_THRESH || (gconst13) > 1+IKFAST_SINCOS_THRESH )
+ continue;
+j3=((-1.0)*(IKacos(gconst13)));
+new_r01=0;
+CheckValue<IkReal> x1166=IKPowWithIntegerCheck(((((-1.0000000016)*(new_r10*new_r10)))+(((-1.0)*x1165))),-1);
+if(!x1166.valid){
+continue;
+}
+if((((-1.0)*x1165*(x1166.value))) < -0.00001)
+continue;
+IkReal gconst13=((-1.0)*(IKsqrt(((-1.0)*x1165*(x1166.value)))));
+j5eval[0]=new_r00;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1168=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1168.valid){
+continue;
+}
+IkReal x1167=x1168.value;
+CheckValue<IkReal> x1169=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1169.valid){
+continue;
+}
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+if( IKabs((x1167*(x1169.value)*(((((-1.0)*gconst13*new_r10))+((new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst13*x1167)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x1167*(x1169.value)*(((((-1.0)*gconst13*new_r10))+((new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13))))))))))))+IKsqr((gconst13*x1167))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((x1167*(x1169.value)*(((((-1.0)*gconst13*new_r10))+((new_r11*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13))))))))))), (gconst13*x1167));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1170=IKcos(j5);
+IkReal x1171=IKsin(j5);
+IkReal x1172=((1.0)*gconst13);
+IkReal x1173=((1.0000000008)*gconst13);
+IkReal x1174=(new_r11*x1171);
+IkReal x1175=(new_r00*x1170);
+IkReal x1176=(new_r10*x1171);
+if((((1.0)+(((-1.0)*gconst13*x1172)))) < -0.00001)
+continue;
+IkReal x1177=IKsqrt(((1.0)+(((-1.0)*gconst13*x1172))));
+IkReal x1178=(x1171*x1177);
+IkReal x1179=(x1170*x1177);
+evalcond[0]=(((new_r11*x1170))+(((-1.0)*x1172)));
+evalcond[1]=(x1175+(((-1.0)*x1173))+(((-1.0)*x1176)));
+evalcond[2]=(x1177+(((-1.0000000008)*x1174)));
+evalcond[3]=((((1.0000000008)*x1177))+(((-1.0)*x1174)));
+evalcond[4]=(((new_r10*x1170))+((new_r00*x1171))+(((-1.0)*x1177)));
+evalcond[5]=((((1.0000000008)*x1175))+(((-1.0000000008)*x1176))+(((-1.0)*x1172)));
+evalcond[6]=((((1.0000000008)*x1179))+(((-1.0)*x1171*x1172)));
+evalcond[7]=((((-1.0)*x1170*x1173))+new_r00+(((-1.0)*x1178)));
+evalcond[8]=(new_r10+((x1171*x1173))+(((-1.0)*x1179)));
+evalcond[9]=((((-1.0000000008)*x1178))+(((-1.0)*x1170*x1172))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1181=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1181.valid){
+continue;
+}
+IkReal x1180=x1181.value;
+CheckValue<IkReal> x1182=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1182.valid){
+continue;
+}
+if( IKabs(((4.0e-5)*x1180*(x1182.value)*(((((25000.0)*gconst13*new_r00))+(((-25000.00002)*gconst13*new_r11)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst13*x1180)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((4.0e-5)*x1180*(x1182.value)*(((((25000.0)*gconst13*new_r00))+(((-25000.00002)*gconst13*new_r11))))))+IKsqr((gconst13*x1180))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((4.0e-5)*x1180*(x1182.value)*(((((25000.0)*gconst13*new_r00))+(((-25000.00002)*gconst13*new_r11))))), (gconst13*x1180));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1183=IKcos(j5);
+IkReal x1184=IKsin(j5);
+IkReal x1185=((1.0)*gconst13);
+IkReal x1186=((1.0000000008)*gconst13);
+IkReal x1187=(new_r11*x1184);
+IkReal x1188=(new_r00*x1183);
+IkReal x1189=(new_r10*x1184);
+if((((1.0)+(((-1.0)*gconst13*x1185)))) < -0.00001)
+continue;
+IkReal x1190=IKsqrt(((1.0)+(((-1.0)*gconst13*x1185))));
+IkReal x1191=(x1184*x1190);
+IkReal x1192=(x1183*x1190);
+evalcond[0]=((((-1.0)*x1185))+((new_r11*x1183)));
+evalcond[1]=(x1188+(((-1.0)*x1186))+(((-1.0)*x1189)));
+evalcond[2]=(x1190+(((-1.0000000008)*x1187)));
+evalcond[3]=((((1.0000000008)*x1190))+(((-1.0)*x1187)));
+evalcond[4]=(((new_r10*x1183))+((new_r00*x1184))+(((-1.0)*x1190)));
+evalcond[5]=((((1.0000000008)*x1188))+(((-1.0)*x1185))+(((-1.0000000008)*x1189)));
+evalcond[6]=((((1.0000000008)*x1192))+(((-1.0)*x1184*x1185)));
+evalcond[7]=((((-1.0)*x1183*x1186))+new_r00+(((-1.0)*x1191)));
+evalcond[8]=(((x1184*x1186))+new_r10+(((-1.0)*x1192)));
+evalcond[9]=((((-1.0000000008)*x1191))+(((-1.0)*x1183*x1185))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1194=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1194.valid){
+continue;
+}
+IkReal x1193=x1194.value;
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+if( IKabs(((0.9999999992)*x1193*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((gconst13*x1193)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*x1193*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13))))))))+IKsqr((gconst13*x1193))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*x1193*(IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13))))))), (gconst13*x1193));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1195=IKcos(j5);
+IkReal x1196=IKsin(j5);
+IkReal x1197=((1.0)*gconst13);
+IkReal x1198=((1.0000000008)*gconst13);
+IkReal x1199=(new_r11*x1196);
+IkReal x1200=(new_r00*x1195);
+IkReal x1201=(new_r10*x1196);
+if((((1.0)+(((-1.0)*gconst13*x1197)))) < -0.00001)
+continue;
+IkReal x1202=IKsqrt(((1.0)+(((-1.0)*gconst13*x1197))));
+IkReal x1203=(x1196*x1202);
+IkReal x1204=(x1195*x1202);
+evalcond[0]=((((-1.0)*x1197))+((new_r11*x1195)));
+evalcond[1]=(x1200+(((-1.0)*x1198))+(((-1.0)*x1201)));
+evalcond[2]=(x1202+(((-1.0000000008)*x1199)));
+evalcond[3]=((((1.0000000008)*x1202))+(((-1.0)*x1199)));
+evalcond[4]=((((-1.0)*x1202))+((new_r00*x1196))+((new_r10*x1195)));
+evalcond[5]=((((-1.0)*x1197))+(((1.0000000008)*x1200))+(((-1.0000000008)*x1201)));
+evalcond[6]=((((1.0000000008)*x1204))+(((-1.0)*x1196*x1197)));
+evalcond[7]=((((-1.0)*x1195*x1198))+(((-1.0)*x1203))+new_r00);
+evalcond[8]=(((x1196*x1198))+(((-1.0)*x1204))+new_r10);
+evalcond[9]=((((-1.0)*x1195*x1197))+(((-1.0000000008)*x1203))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+cj5array[0]=new_r10;
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x1205=IKsin(j5);
+IkReal x1206=IKcos(j5);
+IkReal x1207=((1.0000000008)*x1206);
+IkReal x1208=((-1.0000000008)*x1205);
+IkReal x1209=((-1.0)*x1205);
+evalcond[0]=(new_r01*x1205);
+evalcond[1]=x1209;
+evalcond[2]=(new_r10*x1209);
+evalcond[3]=((-1.0)+((new_r10*x1206)));
+evalcond[4]=x1208;
+evalcond[5]=(new_r10*x1208);
+evalcond[6]=(x1207+new_r01);
+evalcond[7]=((1.0000000008)+((new_r01*x1206)));
+evalcond[8]=((1.0)+((new_r01*x1207)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((0.9999999992)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11))+IKsqr(((-0.9999999992)*new_r01))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11), ((-0.9999999992)*new_r01));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1210=IKcos(j5);
+IkReal x1211=IKsin(j5);
+IkReal x1212=((1.0000000008)*x1211);
+IkReal x1213=((1.0000000008)*x1210);
+evalcond[0]=((-1.0)*x1211);
+evalcond[1]=((-1.0)*x1210);
+evalcond[2]=(x1213+new_r01);
+evalcond[3]=(new_r11+(((-1.0)*x1212)));
+evalcond[4]=(((new_r11*x1210))+((new_r01*x1211)));
+evalcond[5]=((1.0000000008)+((new_r01*x1210))+(((-1.0)*new_r11*x1211)));
+evalcond[6]=((1.0)+((new_r01*x1213))+(((-1.0)*new_r11*x1212)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1221=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1221.valid){
+continue;
+}
+IkReal x1214=x1221.value;
+IkReal x1215=((25000.0)*new_r00);
+IkReal x1216=(gconst13*x1214);
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+IkReal x1217=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+IkReal x1218=((25000.0)*new_r11*x1217);
+CheckValue<IkReal> x1222=IKPowWithIntegerCheck(((((25000.00002)*gconst13*new_r01))+(((-1.0)*x1218))),-1);
+if(!x1222.valid){
+continue;
+}
+IkReal x1219=x1222.value;
+IkReal x1220=(new_r11*x1219);
+CheckValue<IkReal> x1223=IKPowWithIntegerCheck(((((25000.00002)*gconst13*new_r01))+(((-25000.0)*new_r11*x1217))),-1);
+if(!x1223.valid){
+continue;
+}
+if( IKabs((x1216+(((-1.0)*x1215*x1220))+((x1216*x1218*(x1223.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1219*((((new_r01*x1215))+(((-25000.0)*gconst13*x1217)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((x1216+(((-1.0)*x1215*x1220))+((x1216*x1218*(x1223.value)))))+IKsqr((x1219*((((new_r01*x1215))+(((-25000.0)*gconst13*x1217))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((x1216+(((-1.0)*x1215*x1220))+((x1216*x1218*(x1223.value)))), (x1219*((((new_r01*x1215))+(((-25000.0)*gconst13*x1217))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1224=IKcos(j5);
+IkReal x1225=IKsin(j5);
+IkReal x1226=((1.0)*gconst13);
+IkReal x1227=((1.0000000008)*gconst13);
+IkReal x1228=(new_r11*x1225);
+IkReal x1229=(new_r01*x1224);
+IkReal x1230=(new_r00*x1224);
+IkReal x1231=(new_r10*x1225);
+IkReal x1232=x1217;
+IkReal x1233=(x1225*x1232);
+IkReal x1234=(x1224*x1232);
+evalcond[0]=((((-1.0)*x1226))+((new_r11*x1224))+((new_r01*x1225)));
+evalcond[1]=((((-1.0)*x1231))+x1230+(((-1.0)*x1227)));
+evalcond[2]=((((-1.0)*x1232))+((new_r00*x1225))+((new_r10*x1224)));
+evalcond[3]=((((-1.0)*x1226))+(((-1.0000000008)*x1231))+(((1.0000000008)*x1230)));
+evalcond[4]=((((-1.0)*x1233))+(((-1.0)*x1224*x1227))+new_r00);
+evalcond[5]=((((-1.0)*x1234))+((x1225*x1227))+new_r10);
+evalcond[6]=((((-1.0)*x1225*x1226))+new_r01+(((1.0000000008)*x1234)));
+evalcond[7]=((((-1.0)*x1224*x1226))+(((-1.0000000008)*x1233))+new_r11);
+evalcond[8]=(x1229+(((-1.0)*x1228))+(((1.0000000008)*x1232)));
+evalcond[9]=(x1232+(((-1.0000000008)*x1228))+(((1.0000000008)*x1229)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1235=((1.0)*new_r11);
+if((((1.0)+(((-1.0)*(gconst13*gconst13))))) < -0.00001)
+continue;
+IkReal x1236=IKsqrt(((1.0)+(((-1.0)*(gconst13*gconst13)))));
+CheckValue<IkReal> x1237 = IKatan2WithCheck(IkReal(((((-1.0)*x1235*x1236))+((gconst13*new_r10)))),IkReal(((((-1.0)*gconst13*new_r00))+((new_r01*x1236)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1237.valid){
+continue;
+}
+CheckValue<IkReal> x1238=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r00*x1235))+((new_r01*new_r10)))),-1);
+if(!x1238.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1237.value)+(((1.5707963267949)*(x1238.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1239=IKcos(j5);
+IkReal x1240=IKsin(j5);
+IkReal x1241=((1.0)*gconst13);
+IkReal x1242=((1.0000000008)*gconst13);
+IkReal x1243=(new_r11*x1240);
+IkReal x1244=(new_r01*x1239);
+IkReal x1245=(new_r00*x1239);
+IkReal x1246=(new_r10*x1240);
+IkReal x1247=x1236;
+IkReal x1248=(x1240*x1247);
+IkReal x1249=(x1239*x1247);
+evalcond[0]=((((-1.0)*x1241))+((new_r11*x1239))+((new_r01*x1240)));
+evalcond[1]=(x1245+(((-1.0)*x1246))+(((-1.0)*x1242)));
+evalcond[2]=((((-1.0)*x1247))+((new_r10*x1239))+((new_r00*x1240)));
+evalcond[3]=((((1.0000000008)*x1245))+(((-1.0)*x1241))+(((-1.0000000008)*x1246)));
+evalcond[4]=((((-1.0)*x1239*x1242))+(((-1.0)*x1248))+new_r00);
+evalcond[5]=(((x1240*x1242))+(((-1.0)*x1249))+new_r10);
+evalcond[6]=((((1.0000000008)*x1249))+(((-1.0)*x1240*x1241))+new_r01);
+evalcond[7]=((((-1.0)*x1239*x1241))+new_r11+(((-1.0000000008)*x1248)));
+evalcond[8]=(x1244+(((1.0000000008)*x1247))+(((-1.0)*x1243)));
+evalcond[9]=(x1247+(((1.0000000008)*x1244))+(((-1.0000000008)*x1243)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1250=((25000.0)*gconst13);
+IkReal x1251=((25000.00002)*gconst13);
+CheckValue<IkReal> x1252=IKPowWithIntegerCheck(IKsign(((((25000.0)*new_r10*new_r11))+(((25000.0)*new_r00*new_r01)))),-1);
+if(!x1252.valid){
+continue;
+}
+CheckValue<IkReal> x1253 = IKatan2WithCheck(IkReal(((((-1.0)*new_r11*x1251))+((new_r00*x1250)))),IkReal((((new_r01*x1251))+((new_r10*x1250)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1253.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1252.value)))+(x1253.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1254=IKcos(j5);
+IkReal x1255=IKsin(j5);
+IkReal x1256=((1.0)*gconst13);
+IkReal x1257=((1.0000000008)*gconst13);
+IkReal x1258=(new_r11*x1255);
+IkReal x1259=(new_r01*x1254);
+IkReal x1260=(new_r00*x1254);
+IkReal x1261=(new_r10*x1255);
+if((((1.0)+(((-1.0)*gconst13*x1256)))) < -0.00001)
+continue;
+IkReal x1262=IKsqrt(((1.0)+(((-1.0)*gconst13*x1256))));
+IkReal x1263=(x1255*x1262);
+IkReal x1264=(x1254*x1262);
+evalcond[0]=((((-1.0)*x1256))+((new_r01*x1255))+((new_r11*x1254)));
+evalcond[1]=((((-1.0)*x1257))+x1260+(((-1.0)*x1261)));
+evalcond[2]=(((new_r00*x1255))+(((-1.0)*x1262))+((new_r10*x1254)));
+evalcond[3]=((((-1.0)*x1256))+(((1.0000000008)*x1260))+(((-1.0000000008)*x1261)));
+evalcond[4]=((((-1.0)*x1254*x1257))+new_r00+(((-1.0)*x1263)));
+evalcond[5]=(((x1255*x1257))+new_r10+(((-1.0)*x1264)));
+evalcond[6]=((((-1.0)*x1255*x1256))+(((1.0000000008)*x1264))+new_r01);
+evalcond[7]=((((-1.0000000008)*x1263))+(((-1.0)*x1254*x1256))+new_r11);
+evalcond[8]=(x1259+(((1.0000000008)*x1262))+(((-1.0)*x1258)));
+evalcond[9]=(x1262+(((1.0000000008)*x1259))+(((-1.0000000008)*x1258)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1266 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1266)==0){
+continue;
+}
+IkReal x1265=pow(x1266,-0.5);
+CheckValue<IkReal> x1267 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1267.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1267.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1265);
+IkReal gconst16=(new_r00*x1265);
+CheckValue<IkReal> x1268 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1268.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x1268.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x1269=x1265;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1270 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1270.valid){
+continue;
+}
+j3=((-1.0)*(x1270.value));
+CheckValue<IkReal> x1271 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1271.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1271.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1269);
+IkReal gconst16=(new_r00*x1269);
+IkReal x1272=new_r00*new_r00;
+IkReal x1273=(new_r01*new_r10);
+IkReal x1274=(x1273+(((-1.0)*new_r00*new_r11)));
+IkReal x1277 = ((((625000001.0)*(new_r10*new_r10)))+(((625000000.0)*x1272)));
+if(IKabs(x1277)==0){
+continue;
+}
+IkReal x1275=pow(x1277,-0.5);
+IkReal x1276=(new_r10*x1275);
+j5eval[0]=x1274;
+j5eval[1]=IKsign(x1274);
+j5eval[2]=((IKabs(((((25000.0)*new_r00*x1276))+(((25000.00002)*new_r11*x1276)))))+(IKabs(((((25000.0)*x1272*x1275))+(((25000.00002)*x1273*x1275))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1278=x1265;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1279 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1279.valid){
+continue;
+}
+j3=((-1.0)*(x1279.value));
+CheckValue<IkReal> x1280 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1280.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1280.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1278);
+IkReal gconst16=(new_r00*x1278);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1281=x1265;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1282 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1282.valid){
+continue;
+}
+j3=((-1.0)*(x1282.value));
+CheckValue<IkReal> x1283 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1283.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1283.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1281);
+IkReal gconst16=(new_r00*x1281);
+j5eval[0]=new_r00;
+IkReal x1284 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1284)==0){
+continue;
+}
+j5eval[1]=((-1.6e-9)*new_r00*new_r10*(pow(x1284,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1285 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1285.valid){
+continue;
+}
+j3=((-1.0)*(x1285.value));
+new_r00=0;
+CheckValue<IkReal> x1286 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1286.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1286.value));
+IkReal x1287 = new_r10*new_r10;
+if(IKabs(x1287)==0){
+continue;
+}
+IkReal gconst15=(new_r10*(pow(x1287,-0.5)));
+IkReal gconst16=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1289=IKPowWithIntegerCheck(gconst15,-1);
+if(!x1289.valid){
+continue;
+}
+IkReal x1288=x1289.value;
+if( IKabs(((-0.9999999992)*new_r11*x1288)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x1288)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*x1288))+IKsqr(((-1.0)*new_r10*x1288))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*x1288), ((-1.0)*new_r10*x1288));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1290=IKsin(j5);
+IkReal x1291=IKcos(j5);
+IkReal x1292=(gconst15*x1290);
+IkReal x1293=(new_r11*x1290);
+IkReal x1294=(gconst15*x1291);
+IkReal x1295=(new_r10*x1290);
+IkReal x1296=(new_r01*x1291);
+evalcond[0]=x1292;
+evalcond[1]=((-1.0)*x1295);
+evalcond[2]=(gconst15+((new_r10*x1291)));
+evalcond[3]=(x1294+new_r10);
+evalcond[4]=((-1.0000000008)*x1295);
+evalcond[5]=(((new_r11*x1291))+((new_r01*x1290)));
+evalcond[6]=((((-1.0000000008)*x1294))+new_r01);
+evalcond[7]=((((1.0000000008)*x1292))+new_r11);
+evalcond[8]=(x1296+(((-1.0000000008)*gconst15))+(((-1.0)*x1293)));
+evalcond[9]=((((1.0000000008)*x1296))+(((-1.0000000008)*x1293))+(((-1.0)*gconst15)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1297=IKPowWithIntegerCheck(gconst15,-1);
+if(!x1297.valid){
+continue;
+}
+CheckValue<IkReal> x1298=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1298.valid){
+continue;
+}
+if( IKabs(((-0.9999999992)*new_r11*(x1297.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst15*(x1298.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*(x1297.value)))+IKsqr(((-1.0)*gconst15*(x1298.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*(x1297.value)), ((-1.0)*gconst15*(x1298.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1299=IKsin(j5);
+IkReal x1300=IKcos(j5);
+IkReal x1301=(gconst15*x1299);
+IkReal x1302=(new_r11*x1299);
+IkReal x1303=(gconst15*x1300);
+IkReal x1304=(new_r10*x1299);
+IkReal x1305=(new_r01*x1300);
+evalcond[0]=x1301;
+evalcond[1]=((-1.0)*x1304);
+evalcond[2]=(gconst15+((new_r10*x1300)));
+evalcond[3]=(x1303+new_r10);
+evalcond[4]=((-1.0000000008)*x1304);
+evalcond[5]=(((new_r11*x1300))+((new_r01*x1299)));
+evalcond[6]=((((-1.0000000008)*x1303))+new_r01);
+evalcond[7]=((((1.0000000008)*x1301))+new_r11);
+evalcond[8]=(x1305+(((-1.0)*x1302))+(((-1.0000000008)*gconst15)));
+evalcond[9]=((((-1.0000000008)*x1302))+(((1.0000000008)*x1305))+(((-1.0)*gconst15)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[5];
+IkReal x1307 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1307)==0){
+continue;
+}
+IkReal x1306=pow(x1307,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1308 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1308.valid){
+continue;
+}
+j3=((-1.0)*(x1308.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1309 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1309.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1309.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1306);
+IkReal gconst16=(new_r00*x1306);
+j5eval[0]=-1.0;
+j5eval[1]=3.90625000625e+17;
+j5eval[2]=((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+j5eval[3]=1.0;
+j5eval[4]=-1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 || IKabs(j5eval[3]) < 0.0000010000000000 || IKabs(j5eval[4]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1311 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1311)==0){
+continue;
+}
+IkReal x1310=pow(x1311,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1312 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1312.valid){
+continue;
+}
+j3=((-1.0)*(x1312.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1313 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1313.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1313.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1310);
+IkReal gconst16=(new_r00*x1310);
+IkReal x1314=new_r10*new_r10;
+CheckValue<IkReal> x1316=IKPowWithIntegerCheck(((1.0)+(((1.6e-9)*x1314))),-1);
+if(!x1316.valid){
+continue;
+}
+IkReal x1315=x1316.value;
+IkReal x1317=((1.0)+(((-1.0)*x1314)));
+j5eval[0]=IKsign(((((625000002.0)*x1315*(x1314*x1314)))+(((-625000000.0)*x1315*(x1317*x1317)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1319 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1319)==0){
+continue;
+}
+IkReal x1318=pow(x1319,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst15;
+cj3=gconst16;
+CheckValue<IkReal> x1320 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1320.valid){
+continue;
+}
+j3=((-1.0)*(x1320.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1321 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1321.valid){
+continue;
+}
+IkReal gconst14=((-1.0)*(x1321.value));
+IkReal gconst15=((1.0000000008)*new_r10*x1318);
+IkReal gconst16=(new_r00*x1318);
+IkReal x1322=new_r10*new_r10;
+IkReal x1323=((1.0)+(((1.6e-9)*x1322)));
+CheckValue<IkReal> x1324=IKPowWithIntegerCheck(x1323,-1);
+if(!x1324.valid){
+continue;
+}
+j5eval[0]=((-3.20000000256e-9)*x1322*(x1324.value)*(((1.0)+(((-1.0)*x1322)))));
+IkReal x1325 = x1323;
+if(IKabs(x1325)==0){
+continue;
+}
+j5eval[1]=((-1.6e-9)*new_r00*new_r10*(pow(x1325,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1326=gconst15*gconst15;
+IkReal x1327=(gconst16*new_r10);
+CheckValue<IkReal> x1328=IKPowWithIntegerCheck(((((625000000.0)*(x1327*x1327)))+(((-625000001.0)*x1326*(new_r00*new_r00)))),-1);
+if(!x1328.valid){
+continue;
+}
+CheckValue<IkReal> x1329=IKPowWithIntegerCheck(((((25000.0)*x1327))+(((-25000.00002)*gconst15*new_r00))),-1);
+if(!x1329.valid){
+continue;
+}
+if( IKabs(((x1328.value)*(((((625000000.5)*x1326*x1327))+(((625000001.0)*new_r00*(gconst15*gconst15*gconst15))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-25000.0)*gconst15*gconst16*(x1329.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x1328.value)*(((((625000000.5)*x1326*x1327))+(((625000001.0)*new_r00*(gconst15*gconst15*gconst15)))))))+IKsqr(((-25000.0)*gconst15*gconst16*(x1329.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x1328.value)*(((((625000000.5)*x1326*x1327))+(((625000001.0)*new_r00*(gconst15*gconst15*gconst15)))))), ((-25000.0)*gconst15*gconst16*(x1329.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1330=IKsin(j5);
+IkReal x1331=IKcos(j5);
+IkReal x1332=((1.0000000008)*gconst16);
+IkReal x1333=((1.0)*gconst16);
+IkReal x1334=((1.0000000008)*x1330);
+IkReal x1335=((1.0)*x1330);
+IkReal x1336=(gconst15*x1331);
+IkReal x1337=(new_r00*x1331);
+evalcond[0]=(((new_r10*x1331))+gconst15+((new_r00*x1330)));
+evalcond[1]=(((gconst15*x1330))+(((-1.0)*x1331*x1332))+new_r00);
+evalcond[2]=(x1336+((x1330*x1332))+new_r10);
+evalcond[3]=((((-1.0)*x1330*x1333))+(((-1.0000000008)*x1336)));
+evalcond[4]=(((gconst15*x1334))+(((-1.0)*x1331*x1333)));
+evalcond[5]=(x1337+(((-1.0)*new_r10*x1335))+(((-1.0)*x1332)));
+evalcond[6]=((((-1.0)*new_r10*x1334))+(((-1.0)*x1333))+(((1.0000000008)*x1337)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1338=gconst16*gconst16;
+IkReal x1339=gconst15*gconst15;
+IkReal x1340=((625000000.0)*x1338);
+IkReal x1341=((625000000.5)*gconst16*x1339);
+CheckValue<IkReal> x1342=IKPowWithIntegerCheck(IKsign(((((-1.0)*x1340*(new_r00*new_r00)))+(((625000001.0)*x1339*(new_r10*new_r10))))),-1);
+if(!x1342.valid){
+continue;
+}
+CheckValue<IkReal> x1343 = IKatan2WithCheck(IkReal((((gconst15*new_r00*x1340))+(((-1.0)*new_r10*x1341)))),IkReal(((((-625000001.0)*new_r10*(gconst15*gconst15*gconst15)))+((new_r00*x1341)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1343.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1342.value)))+(x1343.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1344=IKsin(j5);
+IkReal x1345=IKcos(j5);
+IkReal x1346=((1.0000000008)*gconst16);
+IkReal x1347=((1.0)*gconst16);
+IkReal x1348=((1.0000000008)*x1344);
+IkReal x1349=((1.0)*x1344);
+IkReal x1350=(gconst15*x1345);
+IkReal x1351=(new_r00*x1345);
+evalcond[0]=(gconst15+((new_r00*x1344))+((new_r10*x1345)));
+evalcond[1]=(new_r00+((gconst15*x1344))+(((-1.0)*x1345*x1346)));
+evalcond[2]=(x1350+((x1344*x1346))+new_r10);
+evalcond[3]=((((-1.0000000008)*x1350))+(((-1.0)*x1344*x1347)));
+evalcond[4]=(((gconst15*x1348))+(((-1.0)*x1345*x1347)));
+evalcond[5]=(x1351+(((-1.0)*x1346))+(((-1.0)*new_r10*x1349)));
+evalcond[6]=((((-1.0)*x1347))+(((-1.0)*new_r10*x1348))+(((1.0000000008)*x1351)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1352=((25000.0)*gconst15);
+IkReal x1353=((25000.00002)*gconst16);
+CheckValue<IkReal> x1354=IKPowWithIntegerCheck(IKsign(((((-25000.0)*(new_r10*new_r10)))+(((-25000.0)*(new_r00*new_r00))))),-1);
+if(!x1354.valid){
+continue;
+}
+CheckValue<IkReal> x1355 = IKatan2WithCheck(IkReal((((new_r10*x1353))+((new_r00*x1352)))),IkReal((((new_r10*x1352))+(((-1.0)*new_r00*x1353)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1355.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1354.value)))+(x1355.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1356=IKsin(j5);
+IkReal x1357=IKcos(j5);
+IkReal x1358=((1.0000000008)*gconst16);
+IkReal x1359=((1.0)*gconst16);
+IkReal x1360=((1.0000000008)*x1356);
+IkReal x1361=((1.0)*x1356);
+IkReal x1362=(gconst15*x1357);
+IkReal x1363=(new_r00*x1357);
+evalcond[0]=(((new_r10*x1357))+gconst15+((new_r00*x1356)));
+evalcond[1]=(((gconst15*x1356))+new_r00+(((-1.0)*x1357*x1358)));
+evalcond[2]=(x1362+new_r10+((x1356*x1358)));
+evalcond[3]=((((-1.0000000008)*x1362))+(((-1.0)*x1356*x1359)));
+evalcond[4]=(((gconst15*x1360))+(((-1.0)*x1357*x1359)));
+evalcond[5]=(x1363+(((-1.0)*x1358))+(((-1.0)*new_r10*x1361)));
+evalcond[6]=((((-1.0)*x1359))+(((1.0000000008)*x1363))+(((-1.0)*new_r10*x1360)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1365=IKPowWithIntegerCheck(gconst16,-1);
+if(!x1365.valid){
+continue;
+}
+IkReal x1364=x1365.value;
+if( IKabs((new_r01*x1364)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((0.9999999992)*new_r00*x1364)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x1364))+IKsqr(((0.9999999992)*new_r00*x1364))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x1364), ((0.9999999992)*new_r00*x1364));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1366=IKcos(j5);
+IkReal x1367=IKsin(j5);
+IkReal x1368=((1.0)*gconst16);
+IkReal x1369=((1.0000000008)*gconst16);
+IkReal x1370=(new_r00*x1366);
+IkReal x1371=(new_r01*x1366);
+evalcond[0]=(new_r00*x1367);
+evalcond[1]=x1371;
+evalcond[2]=((-1.0)*gconst16*x1366);
+evalcond[3]=(new_r01+(((-1.0)*x1367*x1368)));
+evalcond[4]=(((new_r01*x1367))+(((-1.0)*x1368)));
+evalcond[5]=(x1367*x1369);
+evalcond[6]=((1.0000000008)*x1371);
+evalcond[7]=((((-1.0)*x1366*x1369))+new_r00);
+evalcond[8]=(x1370+(((-1.0)*x1369)));
+evalcond[9]=((((1.0000000008)*x1370))+(((-1.0)*x1368)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1378=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1378.valid){
+continue;
+}
+IkReal x1372=x1378.value;
+IkReal x1373=((25000.0)*gconst16);
+IkReal x1374=((25000.0)*new_r01);
+IkReal x1375=(gconst15*x1372);
+CheckValue<IkReal> x1379=IKPowWithIntegerCheck(((((-25000.00002)*gconst15*new_r00))+((new_r10*x1373))),-1);
+if(!x1379.valid){
+continue;
+}
+IkReal x1376=x1379.value;
+IkReal x1377=(new_r10*x1376);
+CheckValue<IkReal> x1380=IKPowWithIntegerCheck(((((25000.0)*gconst16*new_r10))+(((-25000.00002)*gconst15*new_r00))),-1);
+if(!x1380.valid){
+continue;
+}
+if( IKabs(((((-1.0)*x1375))+((new_r10*x1373*x1375*(x1380.value)))+((x1374*x1377)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1376*(((((-1.0)*new_r00*x1374))+(((-1.0)*gconst15*x1373)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x1375))+((new_r10*x1373*x1375*(x1380.value)))+((x1374*x1377))))+IKsqr((x1376*(((((-1.0)*new_r00*x1374))+(((-1.0)*gconst15*x1373))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x1375))+((new_r10*x1373*x1375*(x1380.value)))+((x1374*x1377))), (x1376*(((((-1.0)*new_r00*x1374))+(((-1.0)*gconst15*x1373))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1381=IKcos(j5);
+IkReal x1382=IKsin(j5);
+IkReal x1383=((1.0)*gconst16);
+IkReal x1384=((1.0000000008)*gconst15);
+IkReal x1385=((1.0000000008)*gconst16);
+IkReal x1386=(gconst15*x1381);
+IkReal x1387=(new_r00*x1381);
+IkReal x1388=((1.0000000008)*x1382);
+IkReal x1389=(new_r01*x1381);
+IkReal x1390=((1.0)*x1382);
+evalcond[0]=(((new_r10*x1381))+gconst15+((new_r00*x1382)));
+evalcond[1]=((((-1.0)*x1383))+((new_r11*x1381))+((new_r01*x1382)));
+evalcond[2]=(((gconst15*x1382))+(((-1.0)*x1381*x1385))+new_r00);
+evalcond[3]=(x1386+new_r10+((x1382*x1385)));
+evalcond[4]=((((-1.0)*x1382*x1383))+(((-1.0)*x1381*x1384))+new_r01);
+evalcond[5]=((((-1.0)*x1381*x1383))+new_r11+((x1382*x1384)));
+evalcond[6]=((((-1.0)*x1385))+x1387+(((-1.0)*new_r10*x1390)));
+evalcond[7]=((((-1.0)*x1384))+x1389+(((-1.0)*new_r11*x1390)));
+evalcond[8]=((((-1.0)*x1383))+(((1.0000000008)*x1387))+(((-1.0)*new_r10*x1388)));
+evalcond[9]=((((1.0000000008)*x1389))+(((-1.0)*new_r11*x1388))+(((-1.0)*gconst15)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1395=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1395.valid){
+continue;
+}
+IkReal x1391=x1395.value;
+IkReal x1392=gconst15*gconst15;
+IkReal x1393=((25000.0)*new_r10);
+CheckValue<IkReal> x1396=IKPowWithIntegerCheck(((((25000.00002)*gconst16*new_r00))+((gconst15*x1393))),-1);
+if(!x1396.valid){
+continue;
+}
+IkReal x1394=x1396.value;
+CheckValue<IkReal> x1397=IKPowWithIntegerCheck(x1391,-2);
+if(!x1397.valid){
+continue;
+}
+if( IKabs(((((-1.0)*gconst15*x1391))+(((-1.0)*new_r00*x1393*x1394))+((x1391*x1392*x1393*x1394)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1394*(((((-25000.0)*x1392))+(((25000.0)*(x1397.value))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*gconst15*x1391))+(((-1.0)*new_r00*x1393*x1394))+((x1391*x1392*x1393*x1394))))+IKsqr((x1394*(((((-25000.0)*x1392))+(((25000.0)*(x1397.value)))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*gconst15*x1391))+(((-1.0)*new_r00*x1393*x1394))+((x1391*x1392*x1393*x1394))), (x1394*(((((-25000.0)*x1392))+(((25000.0)*(x1397.value)))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1398=IKcos(j5);
+IkReal x1399=IKsin(j5);
+IkReal x1400=((1.0)*gconst16);
+IkReal x1401=((1.0000000008)*gconst15);
+IkReal x1402=((1.0000000008)*gconst16);
+IkReal x1403=(gconst15*x1398);
+IkReal x1404=(new_r00*x1398);
+IkReal x1405=((1.0000000008)*x1399);
+IkReal x1406=(new_r01*x1398);
+IkReal x1407=((1.0)*x1399);
+evalcond[0]=(((new_r10*x1398))+gconst15+((new_r00*x1399)));
+evalcond[1]=(((new_r11*x1398))+(((-1.0)*x1400))+((new_r01*x1399)));
+evalcond[2]=(((gconst15*x1399))+(((-1.0)*x1398*x1402))+new_r00);
+evalcond[3]=(((x1399*x1402))+x1403+new_r10);
+evalcond[4]=((((-1.0)*x1399*x1400))+(((-1.0)*x1398*x1401))+new_r01);
+evalcond[5]=((((-1.0)*x1398*x1400))+((x1399*x1401))+new_r11);
+evalcond[6]=((((-1.0)*x1402))+x1404+(((-1.0)*new_r10*x1407)));
+evalcond[7]=((((-1.0)*x1401))+x1406+(((-1.0)*new_r11*x1407)));
+evalcond[8]=((((1.0000000008)*x1404))+(((-1.0)*x1400))+(((-1.0)*new_r10*x1405)));
+evalcond[9]=((((1.0000000008)*x1406))+(((-1.0)*gconst15))+(((-1.0)*new_r11*x1405)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1408=((1.0)*new_r00);
+CheckValue<IkReal> x1409=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r11*x1408)))),-1);
+if(!x1409.valid){
+continue;
+}
+CheckValue<IkReal> x1410 = IKatan2WithCheck(IkReal((((gconst16*new_r10))+((gconst15*new_r11)))),IkReal(((((-1.0)*gconst16*x1408))+(((-1.0)*gconst15*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1410.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1409.value)))+(x1410.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1411=IKcos(j5);
+IkReal x1412=IKsin(j5);
+IkReal x1413=((1.0)*gconst16);
+IkReal x1414=((1.0000000008)*gconst15);
+IkReal x1415=((1.0000000008)*gconst16);
+IkReal x1416=(gconst15*x1411);
+IkReal x1417=(new_r00*x1411);
+IkReal x1418=((1.0000000008)*x1412);
+IkReal x1419=(new_r01*x1411);
+IkReal x1420=((1.0)*x1412);
+evalcond[0]=(((new_r00*x1412))+gconst15+((new_r10*x1411)));
+evalcond[1]=(((new_r01*x1412))+(((-1.0)*x1413))+((new_r11*x1411)));
+evalcond[2]=((((-1.0)*x1411*x1415))+((gconst15*x1412))+new_r00);
+evalcond[3]=(((x1412*x1415))+x1416+new_r10);
+evalcond[4]=((((-1.0)*x1412*x1413))+(((-1.0)*x1411*x1414))+new_r01);
+evalcond[5]=(((x1412*x1414))+(((-1.0)*x1411*x1413))+new_r11);
+evalcond[6]=((((-1.0)*x1415))+(((-1.0)*new_r10*x1420))+x1417);
+evalcond[7]=((((-1.0)*x1414))+(((-1.0)*new_r11*x1420))+x1419);
+evalcond[8]=((((-1.0)*new_r10*x1418))+(((-1.0)*x1413))+(((1.0000000008)*x1417)));
+evalcond[9]=((((-1.0)*new_r11*x1418))+(((1.0000000008)*x1419))+(((-1.0)*gconst15)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1422 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1422)==0){
+continue;
+}
+IkReal x1421=pow(x1422,-0.5);
+CheckValue<IkReal> x1423 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1423.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1423.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1421);
+IkReal gconst19=((-1.0)*new_r00*x1421);
+CheckValue<IkReal> x1424 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1424.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x1424.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x1425=x1421;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1426 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1426.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1426.value))));
+CheckValue<IkReal> x1427 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1427.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1427.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1425);
+IkReal gconst19=((-1.0)*new_r00*x1425);
+IkReal x1428=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x1428;
+j5eval[1]=IKsign(x1428);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1429=x1421;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1430 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1430.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1430.value))));
+CheckValue<IkReal> x1431 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1431.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1431.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1429);
+IkReal gconst19=((-1.0)*new_r00*x1429);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1432=x1421;
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1433 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1433.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1433.value))));
+CheckValue<IkReal> x1434 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1434.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1434.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1432);
+IkReal gconst19=((-1.0)*new_r00*x1432);
+j5eval[0]=new_r00;
+IkReal x1435 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1435)==0){
+continue;
+}
+j5eval[1]=((1.60000013238459e-9)*new_r00*new_r10*(pow(x1435,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1436 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1436.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1436.value))));
+new_r00=0;
+CheckValue<IkReal> x1437 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1437.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1437.value))));
+IkReal x1438 = new_r10*new_r10;
+if(IKabs(x1438)==0){
+continue;
+}
+IkReal gconst18=((-1.0)*new_r10*(pow(x1438,-0.5)));
+IkReal gconst19=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1440=IKPowWithIntegerCheck(gconst18,-1);
+if(!x1440.valid){
+continue;
+}
+IkReal x1439=x1440.value;
+if( IKabs(((-0.9999999992)*new_r11*x1439)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x1439)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*x1439))+IKsqr(((-1.0)*new_r10*x1439))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*x1439), ((-1.0)*new_r10*x1439));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1441=IKsin(j5);
+IkReal x1442=IKcos(j5);
+IkReal x1443=((1.0000000008)*gconst18);
+IkReal x1444=(gconst18*x1441);
+IkReal x1445=(new_r01*x1442);
+IkReal x1446=(new_r11*x1441);
+IkReal x1447=(new_r10*x1441);
+evalcond[0]=x1444;
+evalcond[1]=((-1.0)*x1447);
+evalcond[2]=(((new_r10*x1442))+gconst18);
+evalcond[3]=(new_r10+((gconst18*x1442)));
+evalcond[4]=((-1.0000000008)*x1447);
+evalcond[5]=(((new_r11*x1442))+((new_r01*x1441)));
+evalcond[6]=(new_r01+(((-1.0)*x1442*x1443)));
+evalcond[7]=(((x1441*x1443))+new_r11);
+evalcond[8]=((((-1.0)*x1446))+x1445+(((-1.0)*x1443)));
+evalcond[9]=((((1.0000000008)*x1445))+(((-1.0)*gconst18))+(((-1.0000000008)*x1446)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1448=IKPowWithIntegerCheck(gconst18,-1);
+if(!x1448.valid){
+continue;
+}
+CheckValue<IkReal> x1449=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1449.valid){
+continue;
+}
+if( IKabs(((-0.9999999992)*new_r11*(x1448.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst18*(x1449.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-0.9999999992)*new_r11*(x1448.value)))+IKsqr(((-1.0)*gconst18*(x1449.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-0.9999999992)*new_r11*(x1448.value)), ((-1.0)*gconst18*(x1449.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1450=IKsin(j5);
+IkReal x1451=IKcos(j5);
+IkReal x1452=((1.0000000008)*gconst18);
+IkReal x1453=(gconst18*x1450);
+IkReal x1454=(new_r01*x1451);
+IkReal x1455=(new_r11*x1450);
+IkReal x1456=(new_r10*x1450);
+evalcond[0]=x1453;
+evalcond[1]=((-1.0)*x1456);
+evalcond[2]=(gconst18+((new_r10*x1451)));
+evalcond[3]=(((gconst18*x1451))+new_r10);
+evalcond[4]=((-1.0000000008)*x1456);
+evalcond[5]=(((new_r01*x1450))+((new_r11*x1451)));
+evalcond[6]=(new_r01+(((-1.0)*x1451*x1452)));
+evalcond[7]=(((x1450*x1452))+new_r11);
+evalcond[8]=((((-1.0)*x1452))+(((-1.0)*x1455))+x1454);
+evalcond[9]=((((1.0000000008)*x1454))+(((-1.0)*gconst18))+(((-1.0000000008)*x1455)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x1458 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1458)==0){
+continue;
+}
+IkReal x1457=pow(x1458,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1459 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1459.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1459.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1460 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1460.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1460.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1457);
+IkReal gconst19=((-1.0)*new_r00*x1457);
+IkReal x1461=new_r10*new_r10;
+CheckValue<IkReal> x1465=IKPowWithIntegerCheck(((625000000.0)+(((1.0)*x1461))),-1);
+if(!x1465.valid){
+continue;
+}
+IkReal x1462=x1465.value;
+if((((625000000.0)+x1461)) < -0.00001)
+continue;
+IkReal x1463=IKsqrt(((625000000.0)+x1461));
+IkReal x1464=(x1462*x1463);
+j5eval[0]=-1.0;
+j5eval[1]=-1.0;
+IkReal x1466 = ((1.0)+(((1.6e-9)*x1461)));
+if(IKabs(x1466)==0){
+continue;
+}
+j5eval[2]=((IKabs(((50000.00004)*new_r00*new_r10*(pow(x1466,-0.5)))))+(IKabs(((((625000000.5)*x1464))+(((-1250000001.0)*x1461*x1464))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1468 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1468)==0){
+continue;
+}
+IkReal x1467=pow(x1468,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1469 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1469.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1469.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1470 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1470.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1470.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1467);
+IkReal gconst19=((-1.0)*new_r00*x1467);
+IkReal x1471=new_r10*new_r10;
+CheckValue<IkReal> x1473=IKPowWithIntegerCheck(((1.0)+(((1.6e-9)*x1471))),-1);
+if(!x1473.valid){
+continue;
+}
+IkReal x1472=x1473.value;
+IkReal x1474=((1.0)+(((-1.0)*x1471)));
+j5eval[0]=IKsign(((((625000002.0)*x1472*(x1471*x1471)))+(((-625000000.0)*x1472*(x1474*x1474)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1476 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1476)==0){
+continue;
+}
+IkReal x1475=pow(x1476,-0.5);
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+sj3=gconst18;
+cj3=gconst19;
+CheckValue<IkReal> x1477 = IKatan2WithCheck(IkReal(((-1.0)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1477.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1477.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1478 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1478.valid){
+continue;
+}
+IkReal gconst17=((3.14159265358979)+(((-1.0)*(x1478.value))));
+IkReal gconst18=((-1.0000000008)*new_r10*x1475);
+IkReal gconst19=((-1.0)*new_r00*x1475);
+IkReal x1479=new_r10*new_r10;
+IkReal x1480=((1.0)+(((1.6e-9)*x1479)));
+CheckValue<IkReal> x1481=IKPowWithIntegerCheck(x1480,-1);
+if(!x1481.valid){
+continue;
+}
+j5eval[0]=((-3.20000004272458e-9)*x1479*(x1481.value)*(((1.0)+(((-1.0)*x1479)))));
+IkReal x1482 = x1480;
+if(IKabs(x1482)==0){
+continue;
+}
+j5eval[1]=((1.60000013238459e-9)*new_r00*new_r10*(pow(x1482,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1483=gconst18*gconst18;
+IkReal x1484=(gconst19*new_r10);
+CheckValue<IkReal> x1485=IKPowWithIntegerCheck(((((-625000001.0)*x1483*(new_r00*new_r00)))+(((625000000.0)*(x1484*x1484)))),-1);
+if(!x1485.valid){
+continue;
+}
+CheckValue<IkReal> x1486=IKPowWithIntegerCheck(((((-25000.00002)*gconst18*new_r00))+(((25000.0)*x1484))),-1);
+if(!x1486.valid){
+continue;
+}
+if( IKabs(((x1485.value)*(((((625000000.5)*x1483*x1484))+(((625000001.0)*new_r00*(gconst18*gconst18*gconst18))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-25000.0)*gconst18*gconst19*(x1486.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x1485.value)*(((((625000000.5)*x1483*x1484))+(((625000001.0)*new_r00*(gconst18*gconst18*gconst18)))))))+IKsqr(((-25000.0)*gconst18*gconst19*(x1486.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x1485.value)*(((((625000000.5)*x1483*x1484))+(((625000001.0)*new_r00*(gconst18*gconst18*gconst18)))))), ((-25000.0)*gconst18*gconst19*(x1486.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1487=IKsin(j5);
+IkReal x1488=IKcos(j5);
+IkReal x1489=((1.0000000008)*gconst19);
+IkReal x1490=((1.0)*gconst19);
+IkReal x1491=(gconst18*x1487);
+IkReal x1492=(new_r00*x1488);
+IkReal x1493=(gconst18*x1488);
+IkReal x1494=(new_r10*x1487);
+evalcond[0]=(gconst18+((new_r00*x1487))+((new_r10*x1488)));
+evalcond[1]=(x1491+(((-1.0)*x1488*x1489))+new_r00);
+evalcond[2]=(((x1487*x1489))+x1493+new_r10);
+evalcond[3]=((((-1.0000000008)*x1493))+(((-1.0)*x1487*x1490)));
+evalcond[4]=((((1.0000000008)*x1491))+(((-1.0)*x1488*x1490)));
+evalcond[5]=((((-1.0)*x1489))+(((-1.0)*x1494))+x1492);
+evalcond[6]=((((-1.0000000008)*x1494))+(((-1.0)*x1490))+(((1.0000000008)*x1492)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1495=gconst18*gconst18;
+IkReal x1496=gconst19*gconst19;
+IkReal x1497=((625000000.0)*x1496);
+IkReal x1498=((625000000.5)*gconst19*x1495);
+CheckValue<IkReal> x1499=IKPowWithIntegerCheck(IKsign(((((625000001.0)*x1495*(new_r10*new_r10)))+(((-1.0)*x1497*(new_r00*new_r00))))),-1);
+if(!x1499.valid){
+continue;
+}
+CheckValue<IkReal> x1500 = IKatan2WithCheck(IkReal(((((-1.0)*new_r10*x1498))+((gconst18*new_r00*x1497)))),IkReal(((((-625000001.0)*new_r10*(gconst18*gconst18*gconst18)))+((new_r00*x1498)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1500.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1499.value)))+(x1500.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1501=IKsin(j5);
+IkReal x1502=IKcos(j5);
+IkReal x1503=((1.0000000008)*gconst19);
+IkReal x1504=((1.0)*gconst19);
+IkReal x1505=(gconst18*x1501);
+IkReal x1506=(new_r00*x1502);
+IkReal x1507=(gconst18*x1502);
+IkReal x1508=(new_r10*x1501);
+evalcond[0]=(((new_r10*x1502))+gconst18+((new_r00*x1501)));
+evalcond[1]=(x1505+new_r00+(((-1.0)*x1502*x1503)));
+evalcond[2]=(((x1501*x1503))+x1507+new_r10);
+evalcond[3]=((((-1.0)*x1501*x1504))+(((-1.0000000008)*x1507)));
+evalcond[4]=((((-1.0)*x1502*x1504))+(((1.0000000008)*x1505)));
+evalcond[5]=((((-1.0)*x1503))+(((-1.0)*x1508))+x1506);
+evalcond[6]=((((-1.0)*x1504))+(((-1.0000000008)*x1508))+(((1.0000000008)*x1506)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1509=((25000.0)*gconst18);
+IkReal x1510=((25000.00002)*gconst19);
+CheckValue<IkReal> x1511=IKPowWithIntegerCheck(IKsign(((((-25000.0)*(new_r10*new_r10)))+(((-25000.0)*(new_r00*new_r00))))),-1);
+if(!x1511.valid){
+continue;
+}
+CheckValue<IkReal> x1512 = IKatan2WithCheck(IkReal((((new_r10*x1510))+((new_r00*x1509)))),IkReal((((new_r10*x1509))+(((-1.0)*new_r00*x1510)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1512.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1511.value)))+(x1512.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1513=IKsin(j5);
+IkReal x1514=IKcos(j5);
+IkReal x1515=((1.0000000008)*gconst19);
+IkReal x1516=((1.0)*gconst19);
+IkReal x1517=(gconst18*x1513);
+IkReal x1518=(new_r00*x1514);
+IkReal x1519=(gconst18*x1514);
+IkReal x1520=(new_r10*x1513);
+evalcond[0]=(((new_r10*x1514))+gconst18+((new_r00*x1513)));
+evalcond[1]=(x1517+(((-1.0)*x1514*x1515))+new_r00);
+evalcond[2]=(((x1513*x1515))+x1519+new_r10);
+evalcond[3]=((((-1.0)*x1513*x1516))+(((-1.0000000008)*x1519)));
+evalcond[4]=((((-1.0)*x1514*x1516))+(((1.0000000008)*x1517)));
+evalcond[5]=((((-1.0)*x1515))+x1518+(((-1.0)*x1520)));
+evalcond[6]=((((-1.0)*x1516))+(((-1.0000000008)*x1520))+(((1.0000000008)*x1518)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1522=IKPowWithIntegerCheck(gconst19,-1);
+if(!x1522.valid){
+continue;
+}
+IkReal x1521=x1522.value;
+if( IKabs((new_r01*x1521)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((0.9999999992)*new_r00*x1521)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x1521))+IKsqr(((0.9999999992)*new_r00*x1521))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x1521), ((0.9999999992)*new_r00*x1521));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1523=IKcos(j5);
+IkReal x1524=IKsin(j5);
+IkReal x1525=((1.0)*gconst19);
+IkReal x1526=((1.0000000008)*gconst19);
+IkReal x1527=(new_r00*x1523);
+IkReal x1528=(new_r01*x1523);
+evalcond[0]=(new_r00*x1524);
+evalcond[1]=x1528;
+evalcond[2]=((-1.0)*gconst19*x1523);
+evalcond[3]=((((-1.0)*x1524*x1525))+new_r01);
+evalcond[4]=((((-1.0)*x1525))+((new_r01*x1524)));
+evalcond[5]=(x1524*x1526);
+evalcond[6]=((1.0000000008)*x1528);
+evalcond[7]=((((-1.0)*x1523*x1526))+new_r00);
+evalcond[8]=((((-1.0)*x1526))+x1527);
+evalcond[9]=((((-1.0)*x1525))+(((1.0000000008)*x1527)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1534=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1534.valid){
+continue;
+}
+IkReal x1529=x1534.value;
+IkReal x1530=((25000.0)*new_r10);
+IkReal x1531=((25000.0)*gconst18*gconst19);
+CheckValue<IkReal> x1535=IKPowWithIntegerCheck(((((-25000.00002)*gconst18*new_r00))+((gconst19*x1530))),-1);
+if(!x1535.valid){
+continue;
+}
+IkReal x1532=x1535.value;
+IkReal x1533=(new_r10*x1532);
+CheckValue<IkReal> x1536=IKPowWithIntegerCheck(((((-25000.00002)*gconst18*new_r00))+(((25000.0)*gconst19*new_r10))),-1);
+if(!x1536.valid){
+continue;
+}
+CheckValue<IkReal> x1537=IKPowWithIntegerCheck(((((-25000.00002)*gconst18*new_r00))+(((25000.0)*gconst19*new_r10))),-1);
+if(!x1537.valid){
+continue;
+}
+if( IKabs((((gconst18*gconst19*x1529*x1530*(x1536.value)))+(((-1.0)*gconst18*x1529))+((new_r01*x1530*(x1537.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1532*(((((-25000.0)*new_r00*new_r01))+(((-1.0)*x1531)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((gconst18*gconst19*x1529*x1530*(x1536.value)))+(((-1.0)*gconst18*x1529))+((new_r01*x1530*(x1537.value)))))+IKsqr((x1532*(((((-25000.0)*new_r00*new_r01))+(((-1.0)*x1531))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((gconst18*gconst19*x1529*x1530*(x1536.value)))+(((-1.0)*gconst18*x1529))+((new_r01*x1530*(x1537.value)))), (x1532*(((((-25000.0)*new_r00*new_r01))+(((-1.0)*x1531))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1538=IKcos(j5);
+IkReal x1539=IKsin(j5);
+IkReal x1540=((1.0)*gconst19);
+IkReal x1541=((1.0000000008)*gconst19);
+IkReal x1542=(new_r11*x1539);
+IkReal x1543=(gconst18*x1538);
+IkReal x1544=(new_r01*x1538);
+IkReal x1545=(new_r00*x1538);
+IkReal x1546=(gconst18*x1539);
+IkReal x1547=(new_r10*x1539);
+evalcond[0]=(gconst18+((new_r00*x1539))+((new_r10*x1538)));
+evalcond[1]=(((new_r01*x1539))+((new_r11*x1538))+(((-1.0)*x1540)));
+evalcond[2]=(x1546+new_r00+(((-1.0)*x1538*x1541)));
+evalcond[3]=(((x1539*x1541))+x1543+new_r10);
+evalcond[4]=((((-1.0)*x1539*x1540))+new_r01+(((-1.0000000008)*x1543)));
+evalcond[5]=((((1.0000000008)*x1546))+new_r11+(((-1.0)*x1538*x1540)));
+evalcond[6]=((((-1.0)*x1547))+x1545+(((-1.0)*x1541)));
+evalcond[7]=((((-1.0)*x1542))+(((-1.0000000008)*gconst18))+x1544);
+evalcond[8]=((((1.0000000008)*x1545))+(((-1.0)*x1540))+(((-1.0000000008)*x1547)));
+evalcond[9]=((((1.0000000008)*x1544))+(((-1.0)*gconst18))+(((-1.0000000008)*x1542)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1552=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1552.valid){
+continue;
+}
+IkReal x1548=x1552.value;
+IkReal x1549=gconst18*gconst18;
+CheckValue<IkReal> x1553=IKPowWithIntegerCheck(((((25000.00002)*gconst19*new_r00))+(((25000.0)*gconst18*new_r10))),-1);
+if(!x1553.valid){
+continue;
+}
+IkReal x1550=x1553.value;
+IkReal x1551=((25000.0)*new_r10*x1550);
+CheckValue<IkReal> x1554=IKPowWithIntegerCheck(x1548,-2);
+if(!x1554.valid){
+continue;
+}
+if( IKabs((((x1548*x1549*x1551))+(((-1.0)*gconst18*x1548))+(((-1.0)*new_r00*x1551)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1550*(((((25000.0)*(x1554.value)))+(((-25000.0)*x1549)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((x1548*x1549*x1551))+(((-1.0)*gconst18*x1548))+(((-1.0)*new_r00*x1551))))+IKsqr((x1550*(((((25000.0)*(x1554.value)))+(((-25000.0)*x1549))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((x1548*x1549*x1551))+(((-1.0)*gconst18*x1548))+(((-1.0)*new_r00*x1551))), (x1550*(((((25000.0)*(x1554.value)))+(((-25000.0)*x1549))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1555=IKcos(j5);
+IkReal x1556=IKsin(j5);
+IkReal x1557=((1.0)*gconst19);
+IkReal x1558=((1.0000000008)*gconst19);
+IkReal x1559=(new_r11*x1556);
+IkReal x1560=(gconst18*x1555);
+IkReal x1561=(new_r01*x1555);
+IkReal x1562=(new_r00*x1555);
+IkReal x1563=(gconst18*x1556);
+IkReal x1564=(new_r10*x1556);
+evalcond[0]=(((new_r00*x1556))+gconst18+((new_r10*x1555)));
+evalcond[1]=(((new_r01*x1556))+((new_r11*x1555))+(((-1.0)*x1557)));
+evalcond[2]=((((-1.0)*x1555*x1558))+x1563+new_r00);
+evalcond[3]=(((x1556*x1558))+x1560+new_r10);
+evalcond[4]=((((-1.0)*x1556*x1557))+new_r01+(((-1.0000000008)*x1560)));
+evalcond[5]=((((1.0000000008)*x1563))+(((-1.0)*x1555*x1557))+new_r11);
+evalcond[6]=(x1562+(((-1.0)*x1558))+(((-1.0)*x1564)));
+evalcond[7]=((((-1.0)*x1559))+(((-1.0000000008)*gconst18))+x1561);
+evalcond[8]=((((1.0000000008)*x1562))+(((-1.0)*x1557))+(((-1.0000000008)*x1564)));
+evalcond[9]=((((1.0000000008)*x1561))+(((-1.0)*gconst18))+(((-1.0000000008)*x1559)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1565=((1.0)*new_r00);
+CheckValue<IkReal> x1566 = IKatan2WithCheck(IkReal((((gconst18*new_r11))+((gconst19*new_r10)))),IkReal(((((-1.0)*gconst19*x1565))+(((-1.0)*gconst18*new_r01)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1566.valid){
+continue;
+}
+CheckValue<IkReal> x1567=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r11*x1565))+((new_r01*new_r10)))),-1);
+if(!x1567.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1566.value)+(((1.5707963267949)*(x1567.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1568=IKcos(j5);
+IkReal x1569=IKsin(j5);
+IkReal x1570=((1.0)*gconst19);
+IkReal x1571=((1.0000000008)*gconst19);
+IkReal x1572=(new_r11*x1569);
+IkReal x1573=(gconst18*x1568);
+IkReal x1574=(new_r01*x1568);
+IkReal x1575=(new_r00*x1568);
+IkReal x1576=(gconst18*x1569);
+IkReal x1577=(new_r10*x1569);
+evalcond[0]=(((new_r00*x1569))+((new_r10*x1568))+gconst18);
+evalcond[1]=(((new_r01*x1569))+((new_r11*x1568))+(((-1.0)*x1570)));
+evalcond[2]=((((-1.0)*x1568*x1571))+x1576+new_r00);
+evalcond[3]=(((x1569*x1571))+x1573+new_r10);
+evalcond[4]=((((-1.0)*x1569*x1570))+new_r01+(((-1.0000000008)*x1573)));
+evalcond[5]=((((1.0000000008)*x1576))+(((-1.0)*x1568*x1570))+new_r11);
+evalcond[6]=(x1575+(((-1.0)*x1571))+(((-1.0)*x1577)));
+evalcond[7]=((((-1.0000000008)*gconst18))+x1574+(((-1.0)*x1572)));
+evalcond[8]=((((1.0000000008)*x1575))+(((-1.0)*x1570))+(((-1.0000000008)*x1577)));
+evalcond[9]=((((1.0000000008)*x1574))+(((-1.0)*gconst18))+(((-1.0000000008)*x1572)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+j5eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+j5eval[0]=1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x1579 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r00)),IkReal(((-1.0000000008)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1579.valid){
+continue;
+}
+IkReal x1578=x1579.value;
+j5array[0]=((-1.0)*x1578);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x1578)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x1580=IKcos(j5);
+IkReal x1581=IKsin(j5);
+evalcond[0]=(((new_r10*x1580))+((new_r00*x1581)));
+evalcond[1]=((((-1.0)*new_r10*x1581))+((new_r00*x1580)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x1583 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1583.valid){
+continue;
+}
+IkReal x1582=x1583.value;
+j5array[0]=((-1.0)*x1582);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x1582)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x1584=IKcos(j5);
+IkReal x1585=IKsin(j5);
+IkReal x1586=(new_r00*x1584);
+IkReal x1587=(new_r10*x1585);
+evalcond[0]=(x1586+(((-1.0)*x1587)));
+evalcond[1]=((((-1.0000000008)*x1587))+(((1.0000000008)*x1586)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j5eval[0]=new_r00;
+j5eval[1]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1588=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1588.valid){
+continue;
+}
+CheckValue<IkReal> x1589=IKPowWithIntegerCheck(new_r01,-1);
+if(!x1589.valid){
+continue;
+}
+if( IKabs(((-1.0)*sj3*(x1588.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((1.0000000008)*sj3*(x1589.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*sj3*(x1588.value)))+IKsqr(((1.0000000008)*sj3*(x1589.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*sj3*(x1588.value)), ((1.0000000008)*sj3*(x1589.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1590=IKsin(j5);
+IkReal x1591=IKcos(j5);
+IkReal x1592=((1.0)*cj3);
+IkReal x1593=((1.0000000008)*cj3);
+IkReal x1594=((1.0000000008)*sj3);
+IkReal x1595=(new_r00*x1591);
+IkReal x1596=(sj3*x1591);
+IkReal x1597=(new_r01*x1591);
+evalcond[0]=(sj3+((new_r00*x1590)));
+evalcond[1]=((((-1.0)*x1592))+((new_r01*x1590)));
+evalcond[2]=((((-1.0)*x1593))+x1595);
+evalcond[3]=((((-1.0)*x1594))+x1597);
+evalcond[4]=((((-1.0)*x1592))+(((1.0000000008)*x1595)));
+evalcond[5]=((((-1.0)*sj3))+(((1.0000000008)*x1597)));
+evalcond[6]=(((x1590*x1593))+x1596);
+evalcond[7]=((((-1.0)*x1591*x1593))+new_r00+((sj3*x1590)));
+evalcond[8]=(((x1590*x1594))+(((-1.0)*x1591*x1592)));
+evalcond[9]=((((-1.0)*x1591*x1594))+(((-1.0)*x1590*x1592))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1599=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1599.valid){
+continue;
+}
+IkReal x1598=x1599.value;
+if( IKabs(((-1.0)*sj3*x1598)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((1.0000000008)*cj3*x1598)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*sj3*x1598))+IKsqr(((1.0000000008)*cj3*x1598))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*sj3*x1598), ((1.0000000008)*cj3*x1598));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1600=IKsin(j5);
+IkReal x1601=IKcos(j5);
+IkReal x1602=((1.0)*cj3);
+IkReal x1603=((1.0000000008)*cj3);
+IkReal x1604=((1.0000000008)*sj3);
+IkReal x1605=(new_r00*x1601);
+IkReal x1606=(sj3*x1601);
+IkReal x1607=(new_r01*x1601);
+evalcond[0]=(sj3+((new_r00*x1600)));
+evalcond[1]=((((-1.0)*x1602))+((new_r01*x1600)));
+evalcond[2]=((((-1.0)*x1603))+x1605);
+evalcond[3]=((((-1.0)*x1604))+x1607);
+evalcond[4]=((((-1.0)*x1602))+(((1.0000000008)*x1605)));
+evalcond[5]=((((-1.0)*sj3))+(((1.0000000008)*x1607)));
+evalcond[6]=(x1606+((x1600*x1603)));
+evalcond[7]=(((sj3*x1600))+(((-1.0)*x1601*x1603))+new_r00);
+evalcond[8]=(((x1600*x1604))+(((-1.0)*x1601*x1602)));
+evalcond[9]=((((-1.0)*x1601*x1604))+(((-1.0)*x1600*x1602))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j5eval[0]=new_r11;
+j5eval[1]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1608=IKPowWithIntegerCheck(new_r11,-1);
+if(!x1608.valid){
+continue;
+}
+CheckValue<IkReal> x1609=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1609.valid){
+continue;
+}
+if( IKabs(((-1.0000000008)*sj3*(x1608.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*sj3*(x1609.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0000000008)*sj3*(x1608.value)))+IKsqr(((-1.0)*sj3*(x1609.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0000000008)*sj3*(x1608.value)), ((-1.0)*sj3*(x1609.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1610=IKcos(j5);
+IkReal x1611=IKsin(j5);
+IkReal x1612=((1.0)*cj3);
+IkReal x1613=((1.0000000008)*cj3);
+IkReal x1614=((1.0000000008)*sj3);
+IkReal x1615=(sj3*x1610);
+IkReal x1616=(new_r10*x1611);
+IkReal x1617=(new_r11*x1611);
+evalcond[0]=(sj3+((new_r10*x1610)));
+evalcond[1]=(((new_r11*x1610))+(((-1.0)*x1612)));
+evalcond[2]=((((-1.0)*x1616))+(((-1.0)*x1613)));
+evalcond[3]=((((-1.0)*x1617))+(((-1.0)*x1614)));
+evalcond[4]=((((-1.0)*x1612))+(((-1.0000000008)*x1616)));
+evalcond[5]=((((-1.0)*sj3))+(((-1.0000000008)*x1617)));
+evalcond[6]=(((sj3*x1611))+(((-1.0)*x1610*x1613)));
+evalcond[7]=(x1615+new_r10+((x1611*x1613)));
+evalcond[8]=((((-1.0)*x1611*x1612))+(((-1.0)*x1610*x1614)));
+evalcond[9]=((((-1.0)*x1610*x1612))+new_r11+((x1611*x1614)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1619=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1619.valid){
+continue;
+}
+IkReal x1618=x1619.value;
+if( IKabs(((-1.0000000008)*cj3*x1618)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*sj3*x1618)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0000000008)*cj3*x1618))+IKsqr(((-1.0)*sj3*x1618))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0000000008)*cj3*x1618), ((-1.0)*sj3*x1618));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1620=IKcos(j5);
+IkReal x1621=IKsin(j5);
+IkReal x1622=((1.0)*cj3);
+IkReal x1623=((1.0000000008)*cj3);
+IkReal x1624=((1.0000000008)*sj3);
+IkReal x1625=(sj3*x1620);
+IkReal x1626=(new_r10*x1621);
+IkReal x1627=(new_r11*x1621);
+evalcond[0]=(sj3+((new_r10*x1620)));
+evalcond[1]=(((new_r11*x1620))+(((-1.0)*x1622)));
+evalcond[2]=((((-1.0)*x1626))+(((-1.0)*x1623)));
+evalcond[3]=((((-1.0)*x1627))+(((-1.0)*x1624)));
+evalcond[4]=((((-1.0)*x1622))+(((-1.0000000008)*x1626)));
+evalcond[5]=((((-1.0)*sj3))+(((-1.0000000008)*x1627)));
+evalcond[6]=(((sj3*x1621))+(((-1.0)*x1620*x1623)));
+evalcond[7]=(x1625+new_r10+((x1621*x1623)));
+evalcond[8]=((((-1.0)*x1621*x1622))+(((-1.0)*x1620*x1624)));
+evalcond[9]=((((-1.0)*x1620*x1622))+new_r11+((x1621*x1624)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+sj4=4.0e-5;
+cj4=1.0;
+j4=4.0e-5;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x1629 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r01)),IkReal(((-1.0000000008)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1629.valid){
+continue;
+}
+IkReal x1628=x1629.value;
+j5array[0]=((-1.0)*x1628);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x1628)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x1630=IKcos(j5);
+IkReal x1631=IKsin(j5);
+evalcond[0]=(((new_r11*x1630))+((new_r01*x1631)));
+evalcond[1]=(((new_r01*x1630))+(((-1.0)*new_r11*x1631)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x1633 = IKatan2WithCheck(IkReal(new_r11),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x1633.valid){
+continue;
+}
+IkReal x1632=x1633.value;
+j5array[0]=((-1.0)*x1632);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x1632)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x1634=IKcos(j5);
+IkReal x1635=IKsin(j5);
+IkReal x1636=(new_r11*x1635);
+IkReal x1637=(new_r01*x1634);
+evalcond[0]=(x1637+(((-1.0)*x1636)));
+evalcond[1]=((((-1.0000000008)*x1636))+(((1.0000000008)*x1637)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1643=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1643.valid){
+continue;
+}
+IkReal x1638=x1643.value;
+IkReal x1639=((25000.0)*new_r01);
+IkReal x1640=((25000.0)*cj3*sj3);
+CheckValue<IkReal> x1644=IKPowWithIntegerCheck(((((25000.0)*cj3*new_r10))+(((-25000.00002)*new_r00*sj3))),-1);
+if(!x1644.valid){
+continue;
+}
+IkReal x1641=x1644.value;
+IkReal x1642=(new_r10*x1641);
+if( IKabs(((((-1.0)*sj3*x1638))+((x1639*x1642))+((x1638*x1640*x1642)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1641*(((((-1.0)*new_r00*x1639))+(((-1.0)*x1640)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*sj3*x1638))+((x1639*x1642))+((x1638*x1640*x1642))))+IKsqr((x1641*(((((-1.0)*new_r00*x1639))+(((-1.0)*x1640))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*sj3*x1638))+((x1639*x1642))+((x1638*x1640*x1642))), (x1641*(((((-1.0)*new_r00*x1639))+(((-1.0)*x1640))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1645=IKcos(j5);
+IkReal x1646=IKsin(j5);
+IkReal x1647=((1.0)*cj3);
+IkReal x1648=((1.0000000008)*cj3);
+IkReal x1649=(cj3*x1645);
+IkReal x1650=(new_r11*x1646);
+IkReal x1651=(sj3*x1646);
+IkReal x1652=(new_r01*x1645);
+IkReal x1653=(new_r00*x1645);
+IkReal x1654=(sj3*x1645);
+IkReal x1655=(new_r10*x1646);
+evalcond[0]=(((new_r10*x1645))+sj3+((new_r00*x1646)));
+evalcond[1]=(((new_r11*x1645))+(((-1.0)*x1647))+((new_r01*x1646)));
+evalcond[2]=(x1651+(((-1.0)*x1645*x1648))+new_r00);
+evalcond[3]=(x1654+((x1646*x1648))+new_r10);
+evalcond[4]=((((-1.0)*x1646*x1647))+(((-1.0000000008)*x1654))+new_r01);
+evalcond[5]=((((-1.0)*x1645*x1647))+(((1.0000000008)*x1651))+new_r11);
+evalcond[6]=(x1653+(((-1.0)*x1655))+(((-1.0)*x1648)));
+evalcond[7]=(x1652+(((-1.0)*x1650))+(((-1.0000000008)*sj3)));
+evalcond[8]=((((-1.0000000008)*x1655))+(((-1.0)*x1647))+(((1.0000000008)*x1653)));
+evalcond[9]=((((-1.0)*sj3))+(((-1.0000000008)*x1650))+(((1.0000000008)*x1652)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1656=new_r00*new_r00;
+IkReal x1657=cj3*cj3;
+IkReal x1658=new_r10*new_r10;
+IkReal x1659=((625000000.0)*new_r00);
+IkReal x1660=((25000.00002)*cj3);
+IkReal x1661=((625000000.5)*cj3);
+IkReal x1662=((25000.0)*new_r00);
+IkReal x1663=((625000000.0)*x1656);
+CheckValue<IkReal> x1664=IKPowWithIntegerCheck(((((-625000001.0)*x1657*x1658))+x1663+(((-1.0)*x1657*x1663))),-1);
+if(!x1664.valid){
+continue;
+}
+CheckValue<IkReal> x1665=IKPowWithIntegerCheck((((sj3*x1662))+(((-1.0)*new_r10*x1660))),-1);
+if(!x1665.valid){
+continue;
+}
+if( IKabs(((x1664.value)*(((((-1.0)*x1659*(sj3*sj3*sj3)))+((x1661*(new_r10*new_r10*new_r10)))+((new_r10*x1661*(cj3*cj3)))+(((-1.0)*new_r10*x1661))+((sj3*x1658*x1659)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((x1665.value)*((((sj3*x1660))+(((-1.0)*new_r10*x1662)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x1664.value)*(((((-1.0)*x1659*(sj3*sj3*sj3)))+((x1661*(new_r10*new_r10*new_r10)))+((new_r10*x1661*(cj3*cj3)))+(((-1.0)*new_r10*x1661))+((sj3*x1658*x1659))))))+IKsqr(((x1665.value)*((((sj3*x1660))+(((-1.0)*new_r10*x1662))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x1664.value)*(((((-1.0)*x1659*(sj3*sj3*sj3)))+((x1661*(new_r10*new_r10*new_r10)))+((new_r10*x1661*(cj3*cj3)))+(((-1.0)*new_r10*x1661))+((sj3*x1658*x1659))))), ((x1665.value)*((((sj3*x1660))+(((-1.0)*new_r10*x1662))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1666=IKcos(j5);
+IkReal x1667=IKsin(j5);
+IkReal x1668=((1.0)*cj3);
+IkReal x1669=((1.0000000008)*cj3);
+IkReal x1670=(cj3*x1666);
+IkReal x1671=(new_r11*x1667);
+IkReal x1672=(sj3*x1667);
+IkReal x1673=(new_r01*x1666);
+IkReal x1674=(new_r00*x1666);
+IkReal x1675=(sj3*x1666);
+IkReal x1676=(new_r10*x1667);
+evalcond[0]=(sj3+((new_r00*x1667))+((new_r10*x1666)));
+evalcond[1]=(((new_r11*x1666))+((new_r01*x1667))+(((-1.0)*x1668)));
+evalcond[2]=(x1672+new_r00+(((-1.0)*x1666*x1669)));
+evalcond[3]=(x1675+((x1667*x1669))+new_r10);
+evalcond[4]=((((-1.0)*x1667*x1668))+new_r01+(((-1.0000000008)*x1675)));
+evalcond[5]=((((1.0000000008)*x1672))+new_r11+(((-1.0)*x1666*x1668)));
+evalcond[6]=(x1674+(((-1.0)*x1676))+(((-1.0)*x1669)));
+evalcond[7]=(x1673+(((-1.0)*x1671))+(((-1.0000000008)*sj3)));
+evalcond[8]=((((1.0000000008)*x1674))+(((-1.0)*x1668))+(((-1.0000000008)*x1676)));
+evalcond[9]=((((-1.0)*sj3))+(((1.0000000008)*x1673))+(((-1.0000000008)*x1671)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1677=((1.0)*new_r00);
+CheckValue<IkReal> x1678 = IKatan2WithCheck(IkReal((((new_r11*sj3))+((cj3*new_r10)))),IkReal(((((-1.0)*new_r01*sj3))+(((-1.0)*cj3*x1677)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1678.valid){
+continue;
+}
+CheckValue<IkReal> x1679=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r11*x1677)))),-1);
+if(!x1679.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1678.value)+(((1.5707963267949)*(x1679.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1680=IKcos(j5);
+IkReal x1681=IKsin(j5);
+IkReal x1682=((1.0)*cj3);
+IkReal x1683=((1.0000000008)*cj3);
+IkReal x1684=(cj3*x1680);
+IkReal x1685=(new_r11*x1681);
+IkReal x1686=(sj3*x1681);
+IkReal x1687=(new_r01*x1680);
+IkReal x1688=(new_r00*x1680);
+IkReal x1689=(sj3*x1680);
+IkReal x1690=(new_r10*x1681);
+evalcond[0]=(((new_r00*x1681))+sj3+((new_r10*x1680)));
+evalcond[1]=((((-1.0)*x1682))+((new_r11*x1680))+((new_r01*x1681)));
+evalcond[2]=(x1686+(((-1.0)*x1680*x1683))+new_r00);
+evalcond[3]=(((x1681*x1683))+x1689+new_r10);
+evalcond[4]=((((-1.0)*x1681*x1682))+(((-1.0000000008)*x1689))+new_r01);
+evalcond[5]=((((-1.0)*x1680*x1682))+new_r11+(((1.0000000008)*x1686)));
+evalcond[6]=((((-1.0)*x1683))+x1688+(((-1.0)*x1690)));
+evalcond[7]=(x1687+(((-1.0)*x1685))+(((-1.0000000008)*sj3)));
+evalcond[8]=((((-1.0)*x1682))+(((1.0000000008)*x1688))+(((-1.0000000008)*x1690)));
+evalcond[9]=((((-1.0)*sj3))+(((-1.0000000008)*x1685))+(((1.0000000008)*x1687)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14163265358977)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r20;
+evalcond[4]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+IkReal x1691=((1.0)*new_r00);
+IkReal x1692=((((-1.0)*new_r11*x1691))+((new_r01*new_r10)));
+j5eval[0]=x1692;
+j5eval[1]=IKsign(x1692);
+j5eval[2]=((IKabs((((new_r11*sj3))+((cj3*new_r10)))))+(IKabs(((((-1.0)*new_r01*sj3))+(((-1.0)*cj3*x1691))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+j5eval[0]=((((1.0000000008)*new_r00*sj3))+((cj3*new_r10)));
+j5eval[1]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+j5eval[0]=new_r00;
+j5eval[1]=(((new_r00*sj3))+(((1.0000000008)*cj3*new_r10)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+IkReal x1694 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1694)==0){
+continue;
+}
+IkReal x1693=pow(x1694,-0.5);
+CheckValue<IkReal> x1695 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1695.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1695.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1693);
+IkReal gconst22=(new_r00*x1693);
+CheckValue<IkReal> x1696 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1696.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x1696.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x1697=x1693;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1698 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1698.valid){
+continue;
+}
+j3=((-1.0)*(x1698.value));
+CheckValue<IkReal> x1699 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1699.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1699.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1697);
+IkReal gconst22=(new_r00*x1697);
+IkReal x1700=new_r00*new_r00;
+IkReal x1701=(new_r01*new_r10);
+IkReal x1702=(x1701+(((-1.0)*new_r00*new_r11)));
+IkReal x1705 = ((((625000000.0)*x1700))+(((625000001.0)*(new_r10*new_r10))));
+if(IKabs(x1705)==0){
+continue;
+}
+IkReal x1703=pow(x1705,-0.5);
+IkReal x1704=(new_r10*x1703);
+j5eval[0]=x1702;
+j5eval[1]=IKsign(x1702);
+j5eval[2]=((IKabs(((((25000.0)*new_r00*x1704))+(((-25000.00002)*new_r11*x1704)))))+(IKabs(((((-25000.0)*x1700*x1703))+(((25000.00002)*x1701*x1703))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1706=x1693;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1707 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1707.valid){
+continue;
+}
+j3=((-1.0)*(x1707.value));
+CheckValue<IkReal> x1708 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1708.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1708.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1706);
+IkReal gconst22=(new_r00*x1706);
+j5eval[0]=new_r00;
+IkReal x1709 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1709)==0){
+continue;
+}
+j5eval[1]=((-1.6e-9)*new_r00*new_r10*(pow(x1709,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1710=x1693;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1711 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1711.valid){
+continue;
+}
+j3=((-1.0)*(x1711.value));
+CheckValue<IkReal> x1712 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1712.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1712.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1710);
+IkReal gconst22=(new_r00*x1710);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1713 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1713.valid){
+continue;
+}
+j3=((-1.0)*(x1713.value));
+new_r00=0;
+CheckValue<IkReal> x1714 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1714.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1714.value));
+IkReal x1715 = new_r10*new_r10;
+if(IKabs(x1715)==0){
+continue;
+}
+IkReal gconst21=((-1.0)*new_r10*(pow(x1715,-0.5)));
+IkReal gconst22=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1717=IKPowWithIntegerCheck(gconst21,-1);
+if(!x1717.valid){
+continue;
+}
+IkReal x1716=x1717.value;
+if( IKabs(((0.9999999992)*new_r11*x1716)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x1716)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*x1716))+IKsqr(((-1.0)*new_r10*x1716))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*x1716), ((-1.0)*new_r10*x1716));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1718=IKsin(j5);
+IkReal x1719=IKcos(j5);
+IkReal x1720=(new_r10*x1718);
+IkReal x1721=((1.0000000008)*x1719);
+IkReal x1722=(new_r11*x1718);
+IkReal x1723=(gconst21*x1718);
+evalcond[0]=x1723;
+evalcond[1]=((-1.0)*x1720);
+evalcond[2]=(((new_r10*x1719))+gconst21);
+evalcond[3]=(((gconst21*x1719))+new_r10);
+evalcond[4]=((1.0000000008)*x1720);
+evalcond[5]=(((new_r11*x1719))+((new_r01*x1718)));
+evalcond[6]=(((gconst21*x1721))+new_r01);
+evalcond[7]=((((-1.0000000008)*x1723))+new_r11);
+evalcond[8]=(((new_r01*x1719))+(((1.0000000008)*gconst21))+(((-1.0)*x1722)));
+evalcond[9]=((((-1.0)*new_r01*x1721))+(((1.0000000008)*x1722))+(((-1.0)*gconst21)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1724=IKPowWithIntegerCheck(gconst21,-1);
+if(!x1724.valid){
+continue;
+}
+CheckValue<IkReal> x1725=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1725.valid){
+continue;
+}
+if( IKabs(((0.9999999992)*new_r11*(x1724.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst21*(x1725.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*(x1724.value)))+IKsqr(((-1.0)*gconst21*(x1725.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*(x1724.value)), ((-1.0)*gconst21*(x1725.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1726=IKsin(j5);
+IkReal x1727=IKcos(j5);
+IkReal x1728=(new_r10*x1726);
+IkReal x1729=((1.0000000008)*x1727);
+IkReal x1730=(new_r11*x1726);
+IkReal x1731=(gconst21*x1726);
+evalcond[0]=x1731;
+evalcond[1]=((-1.0)*x1728);
+evalcond[2]=(gconst21+((new_r10*x1727)));
+evalcond[3]=(((gconst21*x1727))+new_r10);
+evalcond[4]=((1.0000000008)*x1728);
+evalcond[5]=(((new_r11*x1727))+((new_r01*x1726)));
+evalcond[6]=(((gconst21*x1729))+new_r01);
+evalcond[7]=((((-1.0000000008)*x1731))+new_r11);
+evalcond[8]=((((1.0000000008)*gconst21))+(((-1.0)*x1730))+((new_r01*x1727)));
+evalcond[9]=((((-1.0)*new_r01*x1729))+(((1.0000000008)*x1730))+(((-1.0)*gconst21)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[5];
+IkReal x1733 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1733)==0){
+continue;
+}
+IkReal x1732=pow(x1733,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1734 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1734.valid){
+continue;
+}
+j3=((-1.0)*(x1734.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1735 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1735.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1735.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1732);
+IkReal gconst22=(new_r00*x1732);
+j5eval[0]=1.0;
+j5eval[1]=1.0;
+j5eval[2]=3.90625000625e+17;
+j5eval[3]=((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+j5eval[4]=1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 || IKabs(j5eval[3]) < 0.0000010000000000 || IKabs(j5eval[4]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1737 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1737)==0){
+continue;
+}
+IkReal x1736=pow(x1737,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1738 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1738.valid){
+continue;
+}
+j3=((-1.0)*(x1738.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1739 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1739.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1739.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1736);
+IkReal gconst22=(new_r00*x1736);
+IkReal x1740=new_r10*new_r10;
+CheckValue<IkReal> x1742=IKPowWithIntegerCheck(((1.0)+(((1.6e-9)*x1740))),-1);
+if(!x1742.valid){
+continue;
+}
+IkReal x1741=x1742.value;
+IkReal x1743=((1.0)+(((-1.0)*x1740)));
+j5eval[0]=IKsign(((((625000002.0)*x1741*(x1740*x1740)))+(((-625000000.0)*x1741*(x1743*x1743)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1745 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1745)==0){
+continue;
+}
+IkReal x1744=pow(x1745,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst21;
+cj3=gconst22;
+CheckValue<IkReal> x1746 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1746.valid){
+continue;
+}
+j3=((-1.0)*(x1746.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1747 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1747.valid){
+continue;
+}
+IkReal gconst20=((-1.0)*(x1747.value));
+IkReal gconst21=((-1.0000000008)*new_r10*x1744);
+IkReal gconst22=(new_r00*x1744);
+IkReal x1748=new_r10*new_r10;
+IkReal x1749=((1.0)+(((1.6e-9)*x1748)));
+CheckValue<IkReal> x1750=IKPowWithIntegerCheck(x1749,-1);
+if(!x1750.valid){
+continue;
+}
+j5eval[0]=((-3.20000000256e-9)*x1748*(x1750.value)*(((1.0)+(((-1.0)*x1748)))));
+IkReal x1751 = x1749;
+if(IKabs(x1751)==0){
+continue;
+}
+j5eval[1]=((-1.6e-9)*new_r00*new_r10*(pow(x1751,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1752=gconst21*gconst21;
+IkReal x1753=(gconst22*new_r10);
+CheckValue<IkReal> x1754=IKPowWithIntegerCheck(((((-625000001.0)*x1752*(new_r00*new_r00)))+(((625000000.0)*(x1753*x1753)))),-1);
+if(!x1754.valid){
+continue;
+}
+CheckValue<IkReal> x1755=IKPowWithIntegerCheck(((((25000.00002)*gconst21*new_r00))+(((25000.0)*x1753))),-1);
+if(!x1755.valid){
+continue;
+}
+if( IKabs(((x1754.value)*(((((-625000000.5)*x1752*x1753))+(((625000001.0)*new_r00*(gconst21*gconst21*gconst21))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-25000.0)*gconst21*gconst22*(x1755.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x1754.value)*(((((-625000000.5)*x1752*x1753))+(((625000001.0)*new_r00*(gconst21*gconst21*gconst21)))))))+IKsqr(((-25000.0)*gconst21*gconst22*(x1755.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x1754.value)*(((((-625000000.5)*x1752*x1753))+(((625000001.0)*new_r00*(gconst21*gconst21*gconst21)))))), ((-25000.0)*gconst21*gconst22*(x1755.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1756=IKcos(j5);
+IkReal x1757=IKsin(j5);
+IkReal x1758=((1.0)*gconst22);
+IkReal x1759=((1.0000000008)*gconst22);
+IkReal x1760=((1.0000000008)*x1757);
+IkReal x1761=(gconst21*x1756);
+IkReal x1762=(new_r00*x1756);
+evalcond[0]=(gconst21+((new_r00*x1757))+((new_r10*x1756)));
+evalcond[1]=(((gconst21*x1757))+new_r00+((x1756*x1759)));
+evalcond[2]=((((-1.0)*x1757*x1759))+x1761+new_r10);
+evalcond[3]=((((-1.0)*x1757*x1758))+(((1.0000000008)*x1761)));
+evalcond[4]=((((-1.0)*gconst21*x1760))+(((-1.0)*x1756*x1758)));
+evalcond[5]=(x1762+x1759+(((-1.0)*new_r10*x1757)));
+evalcond[6]=((((-1.0000000008)*x1762))+((new_r10*x1760))+(((-1.0)*x1758)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1763=gconst22*gconst22;
+IkReal x1764=gconst21*gconst21;
+IkReal x1765=((625000000.0)*x1763);
+IkReal x1766=((625000000.5)*gconst22*x1764);
+CheckValue<IkReal> x1767 = IKatan2WithCheck(IkReal((((gconst21*new_r00*x1765))+((new_r10*x1766)))),IkReal(((((-625000001.0)*new_r10*(gconst21*gconst21*gconst21)))+(((-1.0)*new_r00*x1766)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1767.valid){
+continue;
+}
+CheckValue<IkReal> x1768=IKPowWithIntegerCheck(IKsign(((((625000001.0)*x1764*(new_r10*new_r10)))+(((-1.0)*x1765*(new_r00*new_r00))))),-1);
+if(!x1768.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1767.value)+(((1.5707963267949)*(x1768.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1769=IKcos(j5);
+IkReal x1770=IKsin(j5);
+IkReal x1771=((1.0)*gconst22);
+IkReal x1772=((1.0000000008)*gconst22);
+IkReal x1773=((1.0000000008)*x1770);
+IkReal x1774=(gconst21*x1769);
+IkReal x1775=(new_r00*x1769);
+evalcond[0]=(((new_r00*x1770))+((new_r10*x1769))+gconst21);
+evalcond[1]=(new_r00+((gconst21*x1770))+((x1769*x1772)));
+evalcond[2]=(x1774+(((-1.0)*x1770*x1772))+new_r10);
+evalcond[3]=((((-1.0)*x1770*x1771))+(((1.0000000008)*x1774)));
+evalcond[4]=((((-1.0)*gconst21*x1773))+(((-1.0)*x1769*x1771)));
+evalcond[5]=(x1775+x1772+(((-1.0)*new_r10*x1770)));
+evalcond[6]=((((-1.0000000008)*x1775))+(((-1.0)*x1771))+((new_r10*x1773)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1776=((25000.00002)*gconst22);
+IkReal x1777=((25000.0)*gconst21);
+CheckValue<IkReal> x1778=IKPowWithIntegerCheck(IKsign(((((25000.0)*(new_r10*new_r10)))+(((25000.0)*(new_r00*new_r00))))),-1);
+if(!x1778.valid){
+continue;
+}
+CheckValue<IkReal> x1779 = IKatan2WithCheck(IkReal((((new_r10*x1776))+(((-1.0)*new_r00*x1777)))),IkReal(((((-1.0)*new_r10*x1777))+(((-1.0)*new_r00*x1776)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1779.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1778.value)))+(x1779.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1780=IKcos(j5);
+IkReal x1781=IKsin(j5);
+IkReal x1782=((1.0)*gconst22);
+IkReal x1783=((1.0000000008)*gconst22);
+IkReal x1784=((1.0000000008)*x1781);
+IkReal x1785=(gconst21*x1780);
+IkReal x1786=(new_r00*x1780);
+evalcond[0]=(gconst21+((new_r10*x1780))+((new_r00*x1781)));
+evalcond[1]=(((gconst21*x1781))+new_r00+((x1780*x1783)));
+evalcond[2]=(x1785+new_r10+(((-1.0)*x1781*x1783)));
+evalcond[3]=((((1.0000000008)*x1785))+(((-1.0)*x1781*x1782)));
+evalcond[4]=((((-1.0)*gconst21*x1784))+(((-1.0)*x1780*x1782)));
+evalcond[5]=(x1783+x1786+(((-1.0)*new_r10*x1781)));
+evalcond[6]=((((-1.0)*x1782))+((new_r10*x1784))+(((-1.0000000008)*x1786)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1788=IKPowWithIntegerCheck(gconst22,-1);
+if(!x1788.valid){
+continue;
+}
+IkReal x1787=x1788.value;
+if( IKabs((new_r01*x1787)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r00*x1787)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x1787))+IKsqr(((-0.9999999992)*new_r00*x1787))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x1787), ((-0.9999999992)*new_r00*x1787));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1789=IKcos(j5);
+IkReal x1790=IKsin(j5);
+IkReal x1791=((1.0)*gconst22);
+IkReal x1792=(gconst22*x1790);
+IkReal x1793=(gconst22*x1789);
+IkReal x1794=(new_r00*x1789);
+IkReal x1795=(new_r01*x1789);
+evalcond[0]=(new_r00*x1790);
+evalcond[1]=x1795;
+evalcond[2]=((-1.0)*x1793);
+evalcond[3]=((((-1.0)*x1790*x1791))+new_r01);
+evalcond[4]=((((-1.0)*x1791))+((new_r01*x1790)));
+evalcond[5]=((-1.0000000008)*x1792);
+evalcond[6]=((-1.0000000008)*x1795);
+evalcond[7]=((((1.0000000008)*x1793))+new_r00);
+evalcond[8]=(x1794+(((1.0000000008)*gconst22)));
+evalcond[9]=((((-1.0)*x1791))+(((-1.0000000008)*x1794)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1802=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1802.valid){
+continue;
+}
+IkReal x1796=x1802.value;
+IkReal x1797=gconst21*gconst21;
+IkReal x1798=((25000.0)*new_r10);
+IkReal x1799=((25000.0)*x1797);
+CheckValue<IkReal> x1803=IKPowWithIntegerCheck(((((-1.0)*gconst21*x1798))+(((25000.00002)*gconst22*new_r00))),-1);
+if(!x1803.valid){
+continue;
+}
+IkReal x1800=x1803.value;
+CheckValue<IkReal> x1804=IKPowWithIntegerCheck(((((-25000.0)*gconst21*new_r10))+(((25000.00002)*gconst22*new_r00))),-1);
+if(!x1804.valid){
+continue;
+}
+IkReal x1801=(x1798*(x1804.value));
+CheckValue<IkReal> x1805=IKPowWithIntegerCheck(x1796,-2);
+if(!x1805.valid){
+continue;
+}
+if( IKabs((((new_r00*x1801))+(((-1.0)*gconst21*x1796))+(((-1.0)*x1796*x1797*x1801)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1800*((x1799+(((-25000.0)*(x1805.value))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((new_r00*x1801))+(((-1.0)*gconst21*x1796))+(((-1.0)*x1796*x1797*x1801))))+IKsqr((x1800*((x1799+(((-25000.0)*(x1805.value)))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((new_r00*x1801))+(((-1.0)*gconst21*x1796))+(((-1.0)*x1796*x1797*x1801))), (x1800*((x1799+(((-25000.0)*(x1805.value)))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1806=IKcos(j5);
+IkReal x1807=IKsin(j5);
+IkReal x1808=((1.0)*gconst22);
+IkReal x1809=((1.0000000008)*gconst21);
+IkReal x1810=((1.0000000008)*gconst22);
+IkReal x1811=(gconst22*x1807);
+IkReal x1812=(new_r11*x1807);
+IkReal x1813=(gconst21*x1807);
+IkReal x1814=(new_r01*x1806);
+IkReal x1815=(new_r00*x1806);
+IkReal x1816=(new_r10*x1807);
+evalcond[0]=(((new_r00*x1807))+gconst21+((new_r10*x1806)));
+evalcond[1]=((((-1.0)*x1808))+((new_r11*x1806))+((new_r01*x1807)));
+evalcond[2]=(x1813+new_r00+((x1806*x1810)));
+evalcond[3]=((((-1.0)*x1807*x1810))+((gconst21*x1806))+new_r10);
+evalcond[4]=(((x1806*x1809))+new_r01+(((-1.0)*x1807*x1808)));
+evalcond[5]=((((-1.0)*x1806*x1808))+new_r11+(((-1.0)*x1807*x1809)));
+evalcond[6]=(x1815+x1810+(((-1.0)*x1816)));
+evalcond[7]=(x1814+x1809+(((-1.0)*x1812)));
+evalcond[8]=((((-1.0)*x1808))+(((1.0000000008)*x1816))+(((-1.0000000008)*x1815)));
+evalcond[9]=((((-1.0)*gconst21))+(((1.0000000008)*x1812))+(((-1.0000000008)*x1814)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1822=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1822.valid){
+continue;
+}
+IkReal x1817=x1822.value;
+IkReal x1818=(gconst21*x1817);
+IkReal x1819=((25000.0)*new_r01);
+IkReal x1820=((25000.0)*gconst22*new_r10);
+CheckValue<IkReal> x1823=IKPowWithIntegerCheck((x1820+(((25000.00002)*gconst21*new_r00))),-1);
+if(!x1823.valid){
+continue;
+}
+IkReal x1821=x1823.value;
+if( IKabs((((new_r10*x1819*x1821))+((x1818*x1820*x1821))+(((-1.0)*x1818)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1821*(((((-25000.0)*gconst21*gconst22))+(((-1.0)*new_r00*x1819)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((new_r10*x1819*x1821))+((x1818*x1820*x1821))+(((-1.0)*x1818))))+IKsqr((x1821*(((((-25000.0)*gconst21*gconst22))+(((-1.0)*new_r00*x1819))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((new_r10*x1819*x1821))+((x1818*x1820*x1821))+(((-1.0)*x1818))), (x1821*(((((-25000.0)*gconst21*gconst22))+(((-1.0)*new_r00*x1819))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1824=IKcos(j5);
+IkReal x1825=IKsin(j5);
+IkReal x1826=((1.0)*gconst22);
+IkReal x1827=((1.0000000008)*gconst21);
+IkReal x1828=((1.0000000008)*gconst22);
+IkReal x1829=(gconst22*x1825);
+IkReal x1830=(new_r11*x1825);
+IkReal x1831=(gconst21*x1825);
+IkReal x1832=(new_r01*x1824);
+IkReal x1833=(new_r00*x1824);
+IkReal x1834=(new_r10*x1825);
+evalcond[0]=(((new_r10*x1824))+((new_r00*x1825))+gconst21);
+evalcond[1]=((((-1.0)*x1826))+((new_r01*x1825))+((new_r11*x1824)));
+evalcond[2]=(((x1824*x1828))+x1831+new_r00);
+evalcond[3]=((((-1.0)*x1825*x1828))+((gconst21*x1824))+new_r10);
+evalcond[4]=(((x1824*x1827))+(((-1.0)*x1825*x1826))+new_r01);
+evalcond[5]=((((-1.0)*x1825*x1827))+(((-1.0)*x1824*x1826))+new_r11);
+evalcond[6]=((((-1.0)*x1834))+x1828+x1833);
+evalcond[7]=((((-1.0)*x1830))+x1827+x1832);
+evalcond[8]=((((-1.0)*x1826))+(((1.0000000008)*x1834))+(((-1.0000000008)*x1833)));
+evalcond[9]=((((1.0000000008)*x1830))+(((-1.0000000008)*x1832))+(((-1.0)*gconst21)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1835=((1.0)*new_r00);
+CheckValue<IkReal> x1836=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r11*x1835))+((new_r01*new_r10)))),-1);
+if(!x1836.valid){
+continue;
+}
+CheckValue<IkReal> x1837 = IKatan2WithCheck(IkReal((((gconst21*new_r11))+((gconst22*new_r10)))),IkReal(((((-1.0)*gconst21*new_r01))+(((-1.0)*gconst22*x1835)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1837.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x1836.value)))+(x1837.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1838=IKcos(j5);
+IkReal x1839=IKsin(j5);
+IkReal x1840=((1.0)*gconst22);
+IkReal x1841=((1.0000000008)*gconst21);
+IkReal x1842=((1.0000000008)*gconst22);
+IkReal x1843=(gconst22*x1839);
+IkReal x1844=(new_r11*x1839);
+IkReal x1845=(gconst21*x1839);
+IkReal x1846=(new_r01*x1838);
+IkReal x1847=(new_r00*x1838);
+IkReal x1848=(new_r10*x1839);
+evalcond[0]=(((new_r00*x1839))+gconst21+((new_r10*x1838)));
+evalcond[1]=(((new_r01*x1839))+(((-1.0)*x1840))+((new_r11*x1838)));
+evalcond[2]=(((x1838*x1842))+x1845+new_r00);
+evalcond[3]=((((-1.0)*x1839*x1842))+new_r10+((gconst21*x1838)));
+evalcond[4]=(((x1838*x1841))+(((-1.0)*x1839*x1840))+new_r01);
+evalcond[5]=((((-1.0)*x1839*x1841))+new_r11+(((-1.0)*x1838*x1840)));
+evalcond[6]=(x1842+x1847+(((-1.0)*x1848)));
+evalcond[7]=(x1841+x1846+(((-1.0)*x1844)));
+evalcond[8]=((((-1.0000000008)*x1847))+(((-1.0)*x1840))+(((1.0000000008)*x1848)));
+evalcond[9]=((((-1.0000000008)*x1846))+(((1.0000000008)*x1844))+(((-1.0)*gconst21)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1850 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1850)==0){
+continue;
+}
+IkReal x1849=pow(x1850,-0.5);
+CheckValue<IkReal> x1851 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1851.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1851.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1849);
+IkReal gconst25=((-1.0)*new_r00*x1849);
+CheckValue<IkReal> x1852 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1852.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x1852.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x1853=x1849;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1854 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1854.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1854.value))));
+CheckValue<IkReal> x1855 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1855.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1855.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1853);
+IkReal gconst25=((-1.0)*new_r00*x1853);
+IkReal x1856=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x1856;
+j5eval[1]=IKsign(x1856);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1857=x1849;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1858 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1858.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1858.value))));
+CheckValue<IkReal> x1859 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1859.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1859.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1857);
+IkReal gconst25=((-1.0)*new_r00*x1857);
+j5eval[0]=new_r00;
+IkReal x1860 = ((((1.0000000016)*(new_r10*new_r10)))+(new_r00*new_r00));
+if(IKabs(x1860)==0){
+continue;
+}
+j5eval[1]=((1.60000013238459e-9)*new_r00*new_r10*(pow(x1860,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1861=x1849;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1862 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1862.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1862.value))));
+CheckValue<IkReal> x1863 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1863.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1863.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1861);
+IkReal gconst25=((-1.0)*new_r00*x1861);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1864 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1864.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1864.value))));
+new_r00=0;
+CheckValue<IkReal> x1865 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x1865.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1865.value))));
+IkReal x1866 = new_r10*new_r10;
+if(IKabs(x1866)==0){
+continue;
+}
+IkReal gconst24=((1.0)*new_r10*(pow(x1866,-0.5)));
+IkReal gconst25=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1868=IKPowWithIntegerCheck(gconst24,-1);
+if(!x1868.valid){
+continue;
+}
+IkReal x1867=x1868.value;
+if( IKabs(((0.9999999992)*new_r11*x1867)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x1867)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*x1867))+IKsqr(((-1.0)*new_r10*x1867))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*x1867), ((-1.0)*new_r10*x1867));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1869=IKsin(j5);
+IkReal x1870=IKcos(j5);
+IkReal x1871=((1.0000000008)*x1869);
+IkReal x1872=((1.0000000008)*x1870);
+evalcond[0]=(gconst24*x1869);
+evalcond[1]=((-1.0)*new_r10*x1869);
+evalcond[2]=(((new_r10*x1870))+gconst24);
+evalcond[3]=(((gconst24*x1870))+new_r10);
+evalcond[4]=(new_r10*x1871);
+evalcond[5]=(((new_r01*x1869))+((new_r11*x1870)));
+evalcond[6]=(((gconst24*x1872))+new_r01);
+evalcond[7]=((((-1.0)*gconst24*x1871))+new_r11);
+evalcond[8]=((((1.0000000008)*gconst24))+((new_r01*x1870))+(((-1.0)*new_r11*x1869)));
+evalcond[9]=((((-1.0)*gconst24))+((new_r11*x1871))+(((-1.0)*new_r01*x1872)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1873=IKPowWithIntegerCheck(gconst24,-1);
+if(!x1873.valid){
+continue;
+}
+CheckValue<IkReal> x1874=IKPowWithIntegerCheck(new_r10,-1);
+if(!x1874.valid){
+continue;
+}
+if( IKabs(((0.9999999992)*new_r11*(x1873.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst24*(x1874.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*(x1873.value)))+IKsqr(((-1.0)*gconst24*(x1874.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*(x1873.value)), ((-1.0)*gconst24*(x1874.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1875=IKsin(j5);
+IkReal x1876=IKcos(j5);
+IkReal x1877=((1.0000000008)*x1875);
+IkReal x1878=((1.0000000008)*x1876);
+evalcond[0]=(gconst24*x1875);
+evalcond[1]=((-1.0)*new_r10*x1875);
+evalcond[2]=(((new_r10*x1876))+gconst24);
+evalcond[3]=(((gconst24*x1876))+new_r10);
+evalcond[4]=(new_r10*x1877);
+evalcond[5]=(((new_r01*x1875))+((new_r11*x1876)));
+evalcond[6]=(((gconst24*x1878))+new_r01);
+evalcond[7]=((((-1.0)*gconst24*x1877))+new_r11);
+evalcond[8]=((((1.0000000008)*gconst24))+(((-1.0)*new_r11*x1875))+((new_r01*x1876)));
+evalcond[9]=((((-1.0)*gconst24))+((new_r11*x1877))+(((-1.0)*new_r01*x1878)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x1880 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1880)==0){
+continue;
+}
+IkReal x1879=pow(x1880,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1881 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1881.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1881.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1882 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1882.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1882.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1879);
+IkReal gconst25=((-1.0)*new_r00*x1879);
+IkReal x1883=new_r10*new_r10;
+CheckValue<IkReal> x1887=IKPowWithIntegerCheck(((625000000.0)+(((1.0)*x1883))),-1);
+if(!x1887.valid){
+continue;
+}
+IkReal x1884=x1887.value;
+if((((625000000.0)+x1883)) < -0.00001)
+continue;
+IkReal x1885=IKsqrt(((625000000.0)+x1883));
+IkReal x1886=(x1884*x1885);
+j5eval[0]=1.0;
+j5eval[1]=1.0;
+IkReal x1888 = ((1.0)+(((1.6e-9)*x1883)));
+if(IKabs(x1888)==0){
+continue;
+}
+j5eval[2]=((IKabs(((((-1250000001.0)*x1883*x1886))+(((625000000.5)*x1886)))))+(IKabs(((50000.00004)*new_r00*new_r10*(pow(x1888,-0.5))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x1890 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1890)==0){
+continue;
+}
+IkReal x1889=pow(x1890,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1891 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1891.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1891.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1892 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1892.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1892.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1889);
+IkReal gconst25=((-1.0)*new_r00*x1889);
+IkReal x1893=new_r10*new_r10;
+CheckValue<IkReal> x1895=IKPowWithIntegerCheck(((1.0)+(((1.6e-9)*x1893))),-1);
+if(!x1895.valid){
+continue;
+}
+IkReal x1894=x1895.value;
+IkReal x1896=((1.0)+(((-1.0)*x1893)));
+j5eval[0]=IKsign(((((-625000000.0)*x1894*(x1896*x1896)))+(((625000002.0)*x1894*(x1893*x1893)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x1898 = ((1.0)+(((1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x1898)==0){
+continue;
+}
+IkReal x1897=pow(x1898,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst24;
+cj3=gconst25;
+CheckValue<IkReal> x1899 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1899.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x1899.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x1900 = IKatan2WithCheck(IkReal(((1.0000000008)*new_r10)),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1900.valid){
+continue;
+}
+IkReal gconst23=((3.14159265358979)+(((-1.0)*(x1900.value))));
+IkReal gconst24=((1.0000000008)*new_r10*x1897);
+IkReal gconst25=((-1.0)*new_r00*x1897);
+IkReal x1901=new_r10*new_r10;
+IkReal x1902=((1.0)+(((1.6e-9)*x1901)));
+CheckValue<IkReal> x1903=IKPowWithIntegerCheck(x1902,-1);
+if(!x1903.valid){
+continue;
+}
+j5eval[0]=((-3.20000004272458e-9)*x1901*(x1903.value)*(((1.0)+(((-1.0)*x1901)))));
+IkReal x1904 = x1902;
+if(IKabs(x1904)==0){
+continue;
+}
+j5eval[1]=((1.60000013238459e-9)*new_r00*new_r10*(pow(x1904,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1905=gconst24*gconst24;
+IkReal x1906=(gconst25*new_r10);
+CheckValue<IkReal> x1907=IKPowWithIntegerCheck(((((625000000.0)*(x1906*x1906)))+(((-625000001.0)*x1905*(new_r00*new_r00)))),-1);
+if(!x1907.valid){
+continue;
+}
+CheckValue<IkReal> x1908=IKPowWithIntegerCheck(((((25000.0)*x1906))+(((25000.00002)*gconst24*new_r00))),-1);
+if(!x1908.valid){
+continue;
+}
+if( IKabs(((x1907.value)*(((((-625000000.5)*x1905*x1906))+(((625000001.0)*new_r00*(gconst24*gconst24*gconst24))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-25000.0)*gconst24*gconst25*(x1908.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((x1907.value)*(((((-625000000.5)*x1905*x1906))+(((625000001.0)*new_r00*(gconst24*gconst24*gconst24)))))))+IKsqr(((-25000.0)*gconst24*gconst25*(x1908.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((x1907.value)*(((((-625000000.5)*x1905*x1906))+(((625000001.0)*new_r00*(gconst24*gconst24*gconst24)))))), ((-25000.0)*gconst24*gconst25*(x1908.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1909=IKsin(j5);
+IkReal x1910=IKcos(j5);
+IkReal x1911=((1.0)*gconst25);
+IkReal x1912=((1.0000000008)*x1909);
+IkReal x1913=((1.0000000008)*x1910);
+evalcond[0]=(gconst24+((new_r10*x1910))+((new_r00*x1909)));
+evalcond[1]=(((gconst24*x1909))+((gconst25*x1913))+new_r00);
+evalcond[2]=((((-1.0)*gconst25*x1912))+((gconst24*x1910))+new_r10);
+evalcond[3]=(((gconst24*x1913))+(((-1.0)*x1909*x1911)));
+evalcond[4]=((((-1.0)*x1910*x1911))+(((-1.0)*gconst24*x1912)));
+evalcond[5]=((((1.0000000008)*gconst25))+(((-1.0)*new_r10*x1909))+((new_r00*x1910)));
+evalcond[6]=((((-1.0)*new_r00*x1913))+((new_r10*x1912))+(((-1.0)*x1911)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1914=gconst25*gconst25;
+IkReal x1915=gconst24*gconst24;
+IkReal x1916=((625000000.0)*x1914);
+IkReal x1917=((625000000.5)*gconst25*x1915);
+CheckValue<IkReal> x1918 = IKatan2WithCheck(IkReal((((new_r10*x1917))+((gconst24*new_r00*x1916)))),IkReal(((((-625000001.0)*new_r10*(gconst24*gconst24*gconst24)))+(((-1.0)*new_r00*x1917)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1918.valid){
+continue;
+}
+CheckValue<IkReal> x1919=IKPowWithIntegerCheck(IKsign(((((-1.0)*x1916*(new_r00*new_r00)))+(((625000001.0)*x1915*(new_r10*new_r10))))),-1);
+if(!x1919.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1918.value)+(((1.5707963267949)*(x1919.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1920=IKsin(j5);
+IkReal x1921=IKcos(j5);
+IkReal x1922=((1.0)*gconst25);
+IkReal x1923=((1.0000000008)*x1920);
+IkReal x1924=((1.0000000008)*x1921);
+evalcond[0]=(gconst24+((new_r00*x1920))+((new_r10*x1921)));
+evalcond[1]=(((gconst25*x1924))+((gconst24*x1920))+new_r00);
+evalcond[2]=((((-1.0)*gconst25*x1923))+((gconst24*x1921))+new_r10);
+evalcond[3]=(((gconst24*x1924))+(((-1.0)*x1920*x1922)));
+evalcond[4]=((((-1.0)*gconst24*x1923))+(((-1.0)*x1921*x1922)));
+evalcond[5]=((((1.0000000008)*gconst25))+((new_r00*x1921))+(((-1.0)*new_r10*x1920)));
+evalcond[6]=((((-1.0)*x1922))+((new_r10*x1923))+(((-1.0)*new_r00*x1924)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1925=((25000.00002)*gconst25);
+IkReal x1926=((25000.0)*gconst24);
+CheckValue<IkReal> x1927 = IKatan2WithCheck(IkReal((((new_r10*x1925))+(((-1.0)*new_r00*x1926)))),IkReal(((((-1.0)*new_r10*x1926))+(((-1.0)*new_r00*x1925)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1927.valid){
+continue;
+}
+CheckValue<IkReal> x1928=IKPowWithIntegerCheck(IKsign(((((25000.0)*(new_r10*new_r10)))+(((25000.0)*(new_r00*new_r00))))),-1);
+if(!x1928.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1927.value)+(((1.5707963267949)*(x1928.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x1929=IKsin(j5);
+IkReal x1930=IKcos(j5);
+IkReal x1931=((1.0)*gconst25);
+IkReal x1932=((1.0000000008)*x1929);
+IkReal x1933=((1.0000000008)*x1930);
+evalcond[0]=(gconst24+((new_r10*x1930))+((new_r00*x1929)));
+evalcond[1]=(((gconst24*x1929))+((gconst25*x1933))+new_r00);
+evalcond[2]=((((-1.0)*gconst25*x1932))+((gconst24*x1930))+new_r10);
+evalcond[3]=(((gconst24*x1933))+(((-1.0)*x1929*x1931)));
+evalcond[4]=((((-1.0)*x1930*x1931))+(((-1.0)*gconst24*x1932)));
+evalcond[5]=((((1.0000000008)*gconst25))+((new_r00*x1930))+(((-1.0)*new_r10*x1929)));
+evalcond[6]=((((-1.0)*new_r00*x1933))+((new_r10*x1932))+(((-1.0)*x1931)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1935=IKPowWithIntegerCheck(gconst25,-1);
+if(!x1935.valid){
+continue;
+}
+IkReal x1934=x1935.value;
+if( IKabs((new_r01*x1934)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r00*x1934)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x1934))+IKsqr(((-0.9999999992)*new_r00*x1934))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x1934), ((-0.9999999992)*new_r00*x1934));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1936=IKcos(j5);
+IkReal x1937=IKsin(j5);
+IkReal x1938=((1.0)*gconst25);
+IkReal x1939=(gconst25*x1936);
+IkReal x1940=(new_r00*x1936);
+IkReal x1941=(new_r01*x1936);
+evalcond[0]=(new_r00*x1937);
+evalcond[1]=x1941;
+evalcond[2]=((-1.0)*x1939);
+evalcond[3]=((((-1.0)*x1937*x1938))+new_r01);
+evalcond[4]=(((new_r01*x1937))+(((-1.0)*x1938)));
+evalcond[5]=((-1.0000000008)*gconst25*x1937);
+evalcond[6]=((-1.0000000008)*x1941);
+evalcond[7]=((((1.0000000008)*x1939))+new_r00);
+evalcond[8]=((((1.0000000008)*gconst25))+x1940);
+evalcond[9]=((((-1.0000000008)*x1940))+(((-1.0)*x1938)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1946=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1946.valid){
+continue;
+}
+IkReal x1942=x1946.value;
+IkReal x1943=gconst24*gconst24;
+IkReal x1944=((25000.0)*new_r10);
+CheckValue<IkReal> x1947=IKPowWithIntegerCheck(((((-1.0)*gconst24*x1944))+(((25000.00002)*gconst25*new_r00))),-1);
+if(!x1947.valid){
+continue;
+}
+IkReal x1945=x1947.value;
+CheckValue<IkReal> x1948=IKPowWithIntegerCheck(((((-25000.0)*gconst24*new_r10))+(((25000.00002)*gconst25*new_r00))),-1);
+if(!x1948.valid){
+continue;
+}
+CheckValue<IkReal> x1949=IKPowWithIntegerCheck(((((-25000.0)*gconst24*new_r10))+(((25000.00002)*gconst25*new_r00))),-1);
+if(!x1949.valid){
+continue;
+}
+CheckValue<IkReal> x1950=IKPowWithIntegerCheck(x1942,-2);
+if(!x1950.valid){
+continue;
+}
+if( IKabs(((((-1.0)*gconst24*x1942))+((new_r00*x1944*(x1948.value)))+(((-1.0)*x1942*x1943*x1944*(x1949.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1945*(((((25000.0)*x1943))+(((-25000.0)*(x1950.value))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*gconst24*x1942))+((new_r00*x1944*(x1948.value)))+(((-1.0)*x1942*x1943*x1944*(x1949.value)))))+IKsqr((x1945*(((((25000.0)*x1943))+(((-25000.0)*(x1950.value)))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*gconst24*x1942))+((new_r00*x1944*(x1948.value)))+(((-1.0)*x1942*x1943*x1944*(x1949.value)))), (x1945*(((((25000.0)*x1943))+(((-25000.0)*(x1950.value)))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1951=IKcos(j5);
+IkReal x1952=IKsin(j5);
+IkReal x1953=((1.0)*gconst25);
+IkReal x1954=((1.0000000008)*gconst25);
+IkReal x1955=((1.0000000008)*gconst24);
+IkReal x1956=(new_r11*x1952);
+IkReal x1957=(new_r01*x1951);
+IkReal x1958=(new_r00*x1951);
+IkReal x1959=(new_r10*x1952);
+evalcond[0]=(((new_r10*x1951))+((new_r00*x1952))+gconst24);
+evalcond[1]=(((new_r11*x1951))+(((-1.0)*x1953))+((new_r01*x1952)));
+evalcond[2]=(((gconst24*x1952))+((x1951*x1954))+new_r00);
+evalcond[3]=((((-1.0)*x1952*x1954))+((gconst24*x1951))+new_r10);
+evalcond[4]=((((-1.0)*x1952*x1953))+((x1951*x1955))+new_r01);
+evalcond[5]=((((-1.0)*x1952*x1955))+(((-1.0)*x1951*x1953))+new_r11);
+evalcond[6]=(x1954+x1958+(((-1.0)*x1959)));
+evalcond[7]=(x1955+x1957+(((-1.0)*x1956)));
+evalcond[8]=((((1.0000000008)*x1959))+(((-1.0)*x1953))+(((-1.0000000008)*x1958)));
+evalcond[9]=((((1.0000000008)*x1956))+(((-1.0000000008)*x1957))+(((-1.0)*gconst24)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x1964=IKPowWithIntegerCheck(new_r00,-1);
+if(!x1964.valid){
+continue;
+}
+IkReal x1960=x1964.value;
+IkReal x1961=((25000.0)*new_r10);
+IkReal x1962=(gconst24*x1960);
+CheckValue<IkReal> x1965=IKPowWithIntegerCheck((((gconst25*x1961))+(((25000.00002)*gconst24*new_r00))),-1);
+if(!x1965.valid){
+continue;
+}
+IkReal x1963=x1965.value;
+if( IKabs(((((-1.0)*x1962))+((new_r01*x1961*x1963))+((gconst25*x1961*x1962*x1963)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x1963*(((((-25000.0)*new_r00*new_r01))+(((-25000.0)*gconst24*gconst25)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x1962))+((new_r01*x1961*x1963))+((gconst25*x1961*x1962*x1963))))+IKsqr((x1963*(((((-25000.0)*new_r00*new_r01))+(((-25000.0)*gconst24*gconst25))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x1962))+((new_r01*x1961*x1963))+((gconst25*x1961*x1962*x1963))), (x1963*(((((-25000.0)*new_r00*new_r01))+(((-25000.0)*gconst24*gconst25))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1966=IKcos(j5);
+IkReal x1967=IKsin(j5);
+IkReal x1968=((1.0)*gconst25);
+IkReal x1969=((1.0000000008)*gconst25);
+IkReal x1970=((1.0000000008)*gconst24);
+IkReal x1971=(new_r11*x1967);
+IkReal x1972=(new_r01*x1966);
+IkReal x1973=(new_r00*x1966);
+IkReal x1974=(new_r10*x1967);
+evalcond[0]=(((new_r00*x1967))+gconst24+((new_r10*x1966)));
+evalcond[1]=(((new_r11*x1966))+((new_r01*x1967))+(((-1.0)*x1968)));
+evalcond[2]=(((gconst24*x1967))+((x1966*x1969))+new_r00);
+evalcond[3]=(((gconst24*x1966))+new_r10+(((-1.0)*x1967*x1969)));
+evalcond[4]=(((x1966*x1970))+new_r01+(((-1.0)*x1967*x1968)));
+evalcond[5]=((((-1.0)*x1966*x1968))+new_r11+(((-1.0)*x1967*x1970)));
+evalcond[6]=((((-1.0)*x1974))+x1969+x1973);
+evalcond[7]=((((-1.0)*x1971))+x1972+x1970);
+evalcond[8]=((((-1.0)*x1968))+(((-1.0000000008)*x1973))+(((1.0000000008)*x1974)));
+evalcond[9]=((((-1.0)*gconst24))+(((-1.0000000008)*x1972))+(((1.0000000008)*x1971)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x1975=((1.0)*new_r00);
+CheckValue<IkReal> x1976 = IKatan2WithCheck(IkReal((((gconst25*new_r10))+((gconst24*new_r11)))),IkReal(((((-1.0)*gconst24*new_r01))+(((-1.0)*gconst25*x1975)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x1976.valid){
+continue;
+}
+CheckValue<IkReal> x1977=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r11*x1975))+((new_r01*new_r10)))),-1);
+if(!x1977.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x1976.value)+(((1.5707963267949)*(x1977.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x1978=IKcos(j5);
+IkReal x1979=IKsin(j5);
+IkReal x1980=((1.0)*gconst25);
+IkReal x1981=((1.0000000008)*gconst25);
+IkReal x1982=((1.0000000008)*gconst24);
+IkReal x1983=(new_r11*x1979);
+IkReal x1984=(new_r01*x1978);
+IkReal x1985=(new_r00*x1978);
+IkReal x1986=(new_r10*x1979);
+evalcond[0]=(((new_r10*x1978))+((new_r00*x1979))+gconst24);
+evalcond[1]=(((new_r01*x1979))+((new_r11*x1978))+(((-1.0)*x1980)));
+evalcond[2]=(((gconst24*x1979))+((x1978*x1981))+new_r00);
+evalcond[3]=(((gconst24*x1978))+(((-1.0)*x1979*x1981))+new_r10);
+evalcond[4]=((((-1.0)*x1979*x1980))+((x1978*x1982))+new_r01);
+evalcond[5]=((((-1.0)*x1979*x1982))+new_r11+(((-1.0)*x1978*x1980)));
+evalcond[6]=(x1985+x1981+(((-1.0)*x1986)));
+evalcond[7]=(x1984+x1982+(((-1.0)*x1983)));
+evalcond[8]=((((1.0000000008)*x1986))+(((-1.0)*x1980))+(((-1.0000000008)*x1985)));
+evalcond[9]=((((1.0000000008)*x1983))+(((-1.0000000008)*x1984))+(((-1.0)*gconst24)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x1987=((1.0000000008)*new_r00);
+IkReal x1989 = ((((1.0000000016)*(new_r00*new_r00)))+(new_r10*new_r10));
+if(IKabs(x1989)==0){
+continue;
+}
+IkReal x1988=pow(x1989,-0.5);
+CheckValue<IkReal> x1990 = IKatan2WithCheck(IkReal(new_r10),IkReal(x1987),IKFAST_ATAN2_MAGTHRESH);
+if(!x1990.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x1990.value));
+IkReal gconst27=((-1.0)*new_r10*x1988);
+IkReal gconst28=(x1987*x1988);
+CheckValue<IkReal> x1991 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x1991.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((x1991.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x1992=((1.0000000008)*new_r00);
+IkReal x1993=x1988;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+CheckValue<IkReal> x1994 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x1994.valid){
+continue;
+}
+j3=((-1.0)*(x1994.value));
+CheckValue<IkReal> x1995 = IKatan2WithCheck(IkReal(new_r10),IkReal(x1992),IKFAST_ATAN2_MAGTHRESH);
+if(!x1995.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x1995.value));
+IkReal gconst27=((-1.0)*new_r10*x1993);
+IkReal gconst28=(x1992*x1993);
+IkReal x1996=new_r00*new_r00;
+IkReal x1997=(new_r01*new_r10);
+IkReal x1998=(x1997+(((-1.0)*new_r00*new_r11)));
+IkReal x2001 = ((((625000000.0)*(new_r10*new_r10)))+(((625000001.0)*x1996)));
+if(IKabs(x2001)==0){
+continue;
+}
+IkReal x1999=pow(x2001,-0.5);
+IkReal x2000=(new_r10*x1999);
+j5eval[0]=x1998;
+j5eval[1]=IKsign(x1998);
+j5eval[2]=((IKabs(((((25000.00002)*new_r00*x2000))+(((-25000.0)*new_r11*x2000)))))+(IKabs(((((25000.0)*x1997*x1999))+(((-25000.00002)*x1996*x1999))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x2002=((1.0000000008)*new_r00);
+IkReal x2003=x1988;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+CheckValue<IkReal> x2004 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2004.valid){
+continue;
+}
+j3=((-1.0)*(x2004.value));
+CheckValue<IkReal> x2005 = IKatan2WithCheck(IkReal(new_r10),IkReal(x2002),IKFAST_ATAN2_MAGTHRESH);
+if(!x2005.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x2005.value));
+IkReal gconst27=((-1.0)*new_r10*x2003);
+IkReal gconst28=(x2002*x2003);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x2006=((1.0000000008)*new_r00);
+IkReal x2007=x1988;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+CheckValue<IkReal> x2008 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2008.valid){
+continue;
+}
+j3=((-1.0)*(x2008.value));
+CheckValue<IkReal> x2009 = IKatan2WithCheck(IkReal(new_r10),IkReal(x2006),IKFAST_ATAN2_MAGTHRESH);
+if(!x2009.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x2009.value));
+IkReal gconst27=((-1.0)*new_r10*x2007);
+IkReal gconst28=(x2006*x2007);
+j5eval[0]=new_r00;
+IkReal x2010 = ((((1.0000000016)*(new_r00*new_r00)))+(new_r10*new_r10));
+if(IKabs(x2010)==0){
+continue;
+}
+j5eval[1]=((1.6e-9)*new_r00*new_r10*(pow(x2010,-0.5)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+CheckValue<IkReal> x2012 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x2012.valid){
+continue;
+}
+IkReal x2011=((-1.0)*(x2012.value));
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+j3=x2011;
+new_r00=0;
+IkReal gconst26=x2011;
+IkReal x2013 = new_r10*new_r10;
+if(IKabs(x2013)==0){
+continue;
+}
+IkReal gconst27=((-1.0)*new_r10*(pow(x2013,-0.5)));
+IkReal gconst28=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2015=IKPowWithIntegerCheck(gconst27,-1);
+if(!x2015.valid){
+continue;
+}
+IkReal x2014=x2015.value;
+if( IKabs(((0.9999999992)*new_r11*x2014)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x2014)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*x2014))+IKsqr(((-1.0)*new_r10*x2014))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*x2014), ((-1.0)*new_r10*x2014));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2016=IKsin(j5);
+IkReal x2017=IKcos(j5);
+IkReal x2018=((1.0000000008)*x2016);
+IkReal x2019=(gconst27*x2017);
+IkReal x2020=(new_r01*x2017);
+evalcond[0]=(gconst27*x2016);
+evalcond[1]=((-1.0)*new_r10*x2016);
+evalcond[2]=(gconst27+((new_r10*x2017)));
+evalcond[3]=(x2019+new_r10);
+evalcond[4]=(new_r10*x2018);
+evalcond[5]=(((new_r11*x2017))+((new_r01*x2016)));
+evalcond[6]=((((1.0000000008)*x2019))+new_r01);
+evalcond[7]=(new_r11+(((-1.0)*gconst27*x2018)));
+evalcond[8]=(x2020+(((1.0000000008)*gconst27))+(((-1.0)*new_r11*x2016)));
+evalcond[9]=(((new_r11*x2018))+(((-1.0000000008)*x2020))+(((-1.0)*gconst27)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2021=IKPowWithIntegerCheck(gconst27,-1);
+if(!x2021.valid){
+continue;
+}
+CheckValue<IkReal> x2022=IKPowWithIntegerCheck(new_r10,-1);
+if(!x2022.valid){
+continue;
+}
+if( IKabs(((0.9999999992)*new_r11*(x2021.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst27*(x2022.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*(x2021.value)))+IKsqr(((-1.0)*gconst27*(x2022.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*(x2021.value)), ((-1.0)*gconst27*(x2022.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2023=IKsin(j5);
+IkReal x2024=IKcos(j5);
+IkReal x2025=((1.0000000008)*x2023);
+IkReal x2026=(gconst27*x2024);
+IkReal x2027=(new_r01*x2024);
+evalcond[0]=(gconst27*x2023);
+evalcond[1]=((-1.0)*new_r10*x2023);
+evalcond[2]=(((new_r10*x2024))+gconst27);
+evalcond[3]=(x2026+new_r10);
+evalcond[4]=(new_r10*x2025);
+evalcond[5]=(((new_r01*x2023))+((new_r11*x2024)));
+evalcond[6]=((((1.0000000008)*x2026))+new_r01);
+evalcond[7]=((((-1.0)*gconst27*x2025))+new_r11);
+evalcond[8]=(x2027+(((1.0000000008)*gconst27))+(((-1.0)*new_r11*x2023)));
+evalcond[9]=((((-1.0000000008)*x2027))+((new_r11*x2025))+(((-1.0)*gconst27)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x2028=((1.0000000008)*new_r00);
+IkReal x2030 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x2030)==0){
+continue;
+}
+IkReal x2029=pow(x2030,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+CheckValue<IkReal> x2031 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2031.valid){
+continue;
+}
+j3=((-1.0)*(x2031.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x2032 = IKatan2WithCheck(IkReal(new_r10),IkReal(x2028),IKFAST_ATAN2_MAGTHRESH);
+if(!x2032.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x2032.value));
+IkReal gconst27=((-1.0)*new_r10*x2029);
+IkReal gconst28=(x2028*x2029);
+IkReal x2033=new_r10*new_r10;
+CheckValue<IkReal> x2037=IKPowWithIntegerCheck(((-625000001.0)+x2033),-1);
+if(!x2037.valid){
+continue;
+}
+IkReal x2034=x2037.value;
+if((((625000001.0)+(((-1.0)*x2033)))) < -0.00001)
+continue;
+IkReal x2035=IKsqrt(((625000001.0)+(((-1.0)*x2033))));
+IkReal x2036=(x2034*x2035);
+j5eval[0]=1.0;
+j5eval[1]=1.0;
+IkReal x2038 = ((1.0000000016)+(((-1.6e-9)*x2033)));
+if(IKabs(x2038)==0){
+continue;
+}
+j5eval[2]=((((50000.00004)*(IKabs((new_r00*new_r10*(pow(x2038,-0.5)))))))+(IKabs(((((-1250000001.0)*x2033*x2036))+(((625000001.0)*x2036))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x2039=((1.0000000008)*new_r00);
+IkReal x2041 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x2041)==0){
+continue;
+}
+IkReal x2040=pow(x2041,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+CheckValue<IkReal> x2042 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2042.valid){
+continue;
+}
+j3=((-1.0)*(x2042.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x2043 = IKatan2WithCheck(IkReal(new_r10),IkReal(x2039),IKFAST_ATAN2_MAGTHRESH);
+if(!x2043.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x2043.value));
+IkReal gconst27=((-1.0)*new_r10*x2040);
+IkReal gconst28=(x2039*x2040);
+IkReal x2044=new_r10*new_r10;
+CheckValue<IkReal> x2047=IKPowWithIntegerCheck(((1.0000000016)+(((-1.6e-9)*x2044))),-1);
+if(!x2047.valid){
+continue;
+}
+IkReal x2045=x2047.value;
+IkReal x2046=((625000001.0)*x2045);
+IkReal x2048=((1.0)+(((-1.0)*x2044)));
+j5eval[0]=IKsign((((x2046*(x2044*x2044)))+(((-1.0)*x2046*(x2048*x2048)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x2049=((1.0000000008)*new_r00);
+IkReal x2051 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x2051)==0){
+continue;
+}
+IkReal x2050=pow(x2051,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst27;
+cj3=gconst28;
+CheckValue<IkReal> x2052 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2052.valid){
+continue;
+}
+j3=((-1.0)*(x2052.value));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x2053 = IKatan2WithCheck(IkReal(new_r10),IkReal(x2049),IKFAST_ATAN2_MAGTHRESH);
+if(!x2053.valid){
+continue;
+}
+IkReal gconst26=((-1.0)*(x2053.value));
+IkReal gconst27=((-1.0)*new_r10*x2050);
+IkReal gconst28=(x2049*x2050);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2060=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2060.valid){
+continue;
+}
+IkReal x2054=x2060.value;
+IkReal x2055=gconst27*gconst27;
+IkReal x2056=((25000.0)*new_r10);
+IkReal x2057=((25000.0)*x2055);
+CheckValue<IkReal> x2061=IKPowWithIntegerCheck(((((-1.0)*gconst27*x2056))+(((25000.00002)*gconst28*new_r00))),-1);
+if(!x2061.valid){
+continue;
+}
+IkReal x2058=x2061.value;
+IkReal x2059=(new_r10*x2058);
+CheckValue<IkReal> x2062=IKPowWithIntegerCheck(((((-25000.0)*gconst27*new_r10))+(((25000.00002)*gconst28*new_r00))),-1);
+if(!x2062.valid){
+continue;
+}
+CheckValue<IkReal> x2063=IKPowWithIntegerCheck(((((-25000.0)*gconst27*new_r10))+(((25000.00002)*gconst28*new_r00))),-1);
+if(!x2063.valid){
+continue;
+}
+CheckValue<IkReal> x2064=IKPowWithIntegerCheck(x2054,-2);
+if(!x2064.valid){
+continue;
+}
+if( IKabs(((((-1.0)*x2054*x2055*x2056*(x2062.value)))+(((-1.0)*gconst27*x2054))+((new_r00*x2056*(x2063.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2058*((x2057+(((-25000.0)*(x2064.value))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x2054*x2055*x2056*(x2062.value)))+(((-1.0)*gconst27*x2054))+((new_r00*x2056*(x2063.value)))))+IKsqr((x2058*((x2057+(((-25000.0)*(x2064.value)))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x2054*x2055*x2056*(x2062.value)))+(((-1.0)*gconst27*x2054))+((new_r00*x2056*(x2063.value)))), (x2058*((x2057+(((-25000.0)*(x2064.value)))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x2065=IKcos(j5);
+IkReal x2066=IKsin(j5);
+IkReal x2067=((1.0000000008)*gconst28);
+IkReal x2068=((1.0)*gconst28);
+IkReal x2069=((1.0000000008)*x2066);
+IkReal x2070=(gconst27*x2065);
+IkReal x2071=(new_r00*x2065);
+evalcond[0]=(gconst27+((new_r10*x2065))+((new_r00*x2066)));
+evalcond[1]=(((gconst27*x2066))+new_r00+((x2065*x2067)));
+evalcond[2]=(x2070+new_r10+(((-1.0)*x2066*x2067)));
+evalcond[3]=((((1.0000000008)*x2070))+(((-1.0)*x2066*x2068)));
+evalcond[4]=((((-1.0)*gconst27*x2069))+(((-1.0)*x2065*x2068)));
+evalcond[5]=(x2067+x2071+(((-1.0)*new_r10*x2066)));
+evalcond[6]=((((-1.0000000008)*x2071))+(((-1.0)*x2068))+((new_r10*x2069)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2072=gconst27*gconst27;
+IkReal x2073=gconst28*gconst28;
+IkReal x2074=((625000000.0)*x2073);
+IkReal x2075=((625000000.5)*gconst28*x2072);
+CheckValue<IkReal> x2076 = IKatan2WithCheck(IkReal((((gconst27*new_r00*x2074))+((new_r10*x2075)))),IkReal(((((-625000001.0)*new_r10*(gconst27*gconst27*gconst27)))+(((-1.0)*new_r00*x2075)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2076.valid){
+continue;
+}
+CheckValue<IkReal> x2077=IKPowWithIntegerCheck(IKsign(((((625000001.0)*x2072*(new_r10*new_r10)))+(((-1.0)*x2074*(new_r00*new_r00))))),-1);
+if(!x2077.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2076.value)+(((1.5707963267949)*(x2077.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x2078=IKcos(j5);
+IkReal x2079=IKsin(j5);
+IkReal x2080=((1.0000000008)*gconst28);
+IkReal x2081=((1.0)*gconst28);
+IkReal x2082=((1.0000000008)*x2079);
+IkReal x2083=(gconst27*x2078);
+IkReal x2084=(new_r00*x2078);
+evalcond[0]=(gconst27+((new_r00*x2079))+((new_r10*x2078)));
+evalcond[1]=(((gconst27*x2079))+((x2078*x2080))+new_r00);
+evalcond[2]=(x2083+(((-1.0)*x2079*x2080))+new_r10);
+evalcond[3]=((((1.0000000008)*x2083))+(((-1.0)*x2079*x2081)));
+evalcond[4]=((((-1.0)*x2078*x2081))+(((-1.0)*gconst27*x2082)));
+evalcond[5]=(x2080+x2084+(((-1.0)*new_r10*x2079)));
+evalcond[6]=((((-1.0000000008)*x2084))+(((-1.0)*x2081))+((new_r10*x2082)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2085=((25000.0)*gconst27);
+IkReal x2086=((25000.00002)*gconst28);
+CheckValue<IkReal> x2087 = IKatan2WithCheck(IkReal((((new_r10*x2086))+(((-1.0)*new_r00*x2085)))),IkReal(((((-1.0)*new_r10*x2085))+(((-1.0)*new_r00*x2086)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2087.valid){
+continue;
+}
+CheckValue<IkReal> x2088=IKPowWithIntegerCheck(IKsign(((((25000.0)*(new_r10*new_r10)))+(((25000.0)*(new_r00*new_r00))))),-1);
+if(!x2088.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2087.value)+(((1.5707963267949)*(x2088.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x2089=IKcos(j5);
+IkReal x2090=IKsin(j5);
+IkReal x2091=((1.0000000008)*gconst28);
+IkReal x2092=((1.0)*gconst28);
+IkReal x2093=((1.0000000008)*x2090);
+IkReal x2094=(gconst27*x2089);
+IkReal x2095=(new_r00*x2089);
+evalcond[0]=(gconst27+((new_r00*x2090))+((new_r10*x2089)));
+evalcond[1]=(((gconst27*x2090))+((x2089*x2091))+new_r00);
+evalcond[2]=((((-1.0)*x2090*x2091))+x2094+new_r10);
+evalcond[3]=((((-1.0)*x2090*x2092))+(((1.0000000008)*x2094)));
+evalcond[4]=((((-1.0)*x2089*x2092))+(((-1.0)*gconst27*x2093)));
+evalcond[5]=(x2095+x2091+(((-1.0)*new_r10*x2090)));
+evalcond[6]=((((-1.0)*x2092))+((new_r10*x2093))+(((-1.0000000008)*x2095)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2097=IKPowWithIntegerCheck(gconst28,-1);
+if(!x2097.valid){
+continue;
+}
+IkReal x2096=x2097.value;
+if( IKabs((new_r01*x2096)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r00*x2096)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x2096))+IKsqr(((-0.9999999992)*new_r00*x2096))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x2096), ((-0.9999999992)*new_r00*x2096));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2098=IKcos(j5);
+IkReal x2099=IKsin(j5);
+IkReal x2100=((1.0)*gconst28);
+IkReal x2101=((1.0000000008)*gconst28);
+IkReal x2102=(new_r00*x2098);
+IkReal x2103=(new_r01*x2098);
+evalcond[0]=(new_r00*x2099);
+evalcond[1]=x2103;
+evalcond[2]=((-1.0)*gconst28*x2098);
+evalcond[3]=((((-1.0)*x2099*x2100))+new_r01);
+evalcond[4]=((((-1.0)*x2100))+((new_r01*x2099)));
+evalcond[5]=((-1.0000000008)*gconst28*x2099);
+evalcond[6]=((-1.0000000008)*x2103);
+evalcond[7]=(((x2098*x2101))+new_r00);
+evalcond[8]=(x2102+x2101);
+evalcond[9]=((((-1.0)*x2100))+(((-1.0000000008)*x2102)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2109=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2109.valid){
+continue;
+}
+IkReal x2104=x2109.value;
+IkReal x2105=((25000.0)*new_r00);
+IkReal x2106=(gconst27*x2104);
+IkReal x2107=((25000.00002)*gconst28);
+CheckValue<IkReal> x2110=IKPowWithIntegerCheck((((new_r10*x2107))+((gconst27*x2105))),-1);
+if(!x2110.valid){
+continue;
+}
+IkReal x2108=x2110.value;
+if( IKabs(((((25000.0)*x2108*(new_r10*new_r10)))+((new_r10*x2106*x2107*x2108))+(((-1.0)*x2106)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2108*(((((-1.0)*gconst27*x2107))+(((-1.0)*new_r10*x2105)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((25000.0)*x2108*(new_r10*new_r10)))+((new_r10*x2106*x2107*x2108))+(((-1.0)*x2106))))+IKsqr((x2108*(((((-1.0)*gconst27*x2107))+(((-1.0)*new_r10*x2105))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((25000.0)*x2108*(new_r10*new_r10)))+((new_r10*x2106*x2107*x2108))+(((-1.0)*x2106))), (x2108*(((((-1.0)*gconst27*x2107))+(((-1.0)*new_r10*x2105))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2111=IKcos(j5);
+IkReal x2112=IKsin(j5);
+IkReal x2113=((1.0)*gconst28);
+IkReal x2114=((1.0000000008)*gconst27);
+IkReal x2115=(new_r11*x2112);
+IkReal x2116=((1.0000000008)*x2111);
+IkReal x2117=((1.0000000008)*x2112);
+evalcond[0]=(((new_r00*x2112))+gconst27+((new_r10*x2111)));
+evalcond[1]=(((new_r01*x2112))+((new_r11*x2111))+(((-1.0)*x2113)));
+evalcond[2]=(((gconst28*x2116))+new_r00+((gconst27*x2112)));
+evalcond[3]=(new_r10+(((-1.0)*gconst28*x2117))+((gconst27*x2111)));
+evalcond[4]=((((-1.0)*x2112*x2113))+((x2111*x2114))+new_r01);
+evalcond[5]=((((-1.0)*x2112*x2114))+(((-1.0)*x2111*x2113))+new_r11);
+evalcond[6]=(((new_r00*x2111))+(((-1.0)*new_r10*x2112))+(((1.0000000008)*gconst28)));
+evalcond[7]=(((new_r01*x2111))+x2114+(((-1.0)*x2115)));
+evalcond[8]=((((-1.0)*new_r00*x2116))+(((-1.0)*x2113))+((new_r10*x2117)));
+evalcond[9]=((((-1.0)*new_r01*x2116))+(((1.0000000008)*x2115))+(((-1.0)*gconst27)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2124=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2124.valid){
+continue;
+}
+IkReal x2118=x2124.value;
+IkReal x2119=gconst27*gconst27;
+IkReal x2120=((25000.0)*new_r10);
+IkReal x2121=((25000.0)*x2119);
+CheckValue<IkReal> x2125=IKPowWithIntegerCheck(((((-1.0)*gconst27*x2120))+(((25000.00002)*gconst28*new_r00))),-1);
+if(!x2125.valid){
+continue;
+}
+IkReal x2122=x2125.value;
+IkReal x2123=(new_r10*x2122);
+CheckValue<IkReal> x2126=IKPowWithIntegerCheck(((((-25000.0)*gconst27*new_r10))+(((25000.00002)*gconst28*new_r00))),-1);
+if(!x2126.valid){
+continue;
+}
+CheckValue<IkReal> x2127=IKPowWithIntegerCheck(((((-25000.0)*gconst27*new_r10))+(((25000.00002)*gconst28*new_r00))),-1);
+if(!x2127.valid){
+continue;
+}
+CheckValue<IkReal> x2128=IKPowWithIntegerCheck(x2118,-2);
+if(!x2128.valid){
+continue;
+}
+if( IKabs(((((-1.0)*x2118*x2119*x2120*(x2126.value)))+(((-1.0)*gconst27*x2118))+((new_r00*x2120*(x2127.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2122*(((((-25000.0)*(x2128.value)))+x2121)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x2118*x2119*x2120*(x2126.value)))+(((-1.0)*gconst27*x2118))+((new_r00*x2120*(x2127.value)))))+IKsqr((x2122*(((((-25000.0)*(x2128.value)))+x2121))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x2118*x2119*x2120*(x2126.value)))+(((-1.0)*gconst27*x2118))+((new_r00*x2120*(x2127.value)))), (x2122*(((((-25000.0)*(x2128.value)))+x2121))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2129=IKcos(j5);
+IkReal x2130=IKsin(j5);
+IkReal x2131=((1.0)*gconst28);
+IkReal x2132=((1.0000000008)*gconst27);
+IkReal x2133=(new_r11*x2130);
+IkReal x2134=((1.0000000008)*x2129);
+IkReal x2135=((1.0000000008)*x2130);
+evalcond[0]=(gconst27+((new_r00*x2130))+((new_r10*x2129)));
+evalcond[1]=((((-1.0)*x2131))+((new_r11*x2129))+((new_r01*x2130)));
+evalcond[2]=(((gconst28*x2134))+((gconst27*x2130))+new_r00);
+evalcond[3]=(((gconst27*x2129))+(((-1.0)*gconst28*x2135))+new_r10);
+evalcond[4]=((((-1.0)*x2130*x2131))+new_r01+((x2129*x2132)));
+evalcond[5]=((((-1.0)*x2130*x2132))+(((-1.0)*x2129*x2131))+new_r11);
+evalcond[6]=((((-1.0)*new_r10*x2130))+(((1.0000000008)*gconst28))+((new_r00*x2129)));
+evalcond[7]=(x2132+((new_r01*x2129))+(((-1.0)*x2133)));
+evalcond[8]=(((new_r10*x2135))+(((-1.0)*x2131))+(((-1.0)*new_r00*x2134)));
+evalcond[9]=((((-1.0)*new_r01*x2134))+(((1.0000000008)*x2133))+(((-1.0)*gconst27)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2136=((1.0)*new_r00);
+CheckValue<IkReal> x2137=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r11*x2136)))),-1);
+if(!x2137.valid){
+continue;
+}
+CheckValue<IkReal> x2138 = IKatan2WithCheck(IkReal((((gconst28*new_r10))+((gconst27*new_r11)))),IkReal(((((-1.0)*gconst27*new_r01))+(((-1.0)*gconst28*x2136)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2138.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x2137.value)))+(x2138.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2139=IKcos(j5);
+IkReal x2140=IKsin(j5);
+IkReal x2141=((1.0)*gconst28);
+IkReal x2142=((1.0000000008)*gconst27);
+IkReal x2143=(new_r11*x2140);
+IkReal x2144=((1.0000000008)*x2139);
+IkReal x2145=((1.0000000008)*x2140);
+evalcond[0]=(((new_r00*x2140))+((new_r10*x2139))+gconst27);
+evalcond[1]=(((new_r11*x2139))+((new_r01*x2140))+(((-1.0)*x2141)));
+evalcond[2]=(((gconst27*x2140))+new_r00+((gconst28*x2144)));
+evalcond[3]=(((gconst27*x2139))+new_r10+(((-1.0)*gconst28*x2145)));
+evalcond[4]=((((-1.0)*x2140*x2141))+new_r01+((x2139*x2142)));
+evalcond[5]=((((-1.0)*x2140*x2142))+new_r11+(((-1.0)*x2139*x2141)));
+evalcond[6]=((((1.0000000008)*gconst28))+((new_r00*x2139))+(((-1.0)*new_r10*x2140)));
+evalcond[7]=((((-1.0)*x2143))+x2142+((new_r01*x2139)));
+evalcond[8]=((((-1.0)*x2141))+(((-1.0)*new_r00*x2144))+((new_r10*x2145)));
+evalcond[9]=((((-1.0)*new_r01*x2144))+(((1.0000000008)*x2143))+(((-1.0)*gconst27)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+IkReal x2147 = ((((1.0000000016)*(new_r00*new_r00)))+(new_r10*new_r10));
+if(IKabs(x2147)==0){
+continue;
+}
+IkReal x2146=pow(x2147,-0.5);
+CheckValue<IkReal> x2148 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2148.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2148.value))));
+IkReal gconst30=((1.0)*new_r10*x2146);
+IkReal gconst31=((-1.0000000008)*new_r00*x2146);
+CheckValue<IkReal> x2149 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2149.valid){
+continue;
+}
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+(x2149.value)+j3)))), 6.28318530717959)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[2];
+IkReal x2150=x2146;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+CheckValue<IkReal> x2151 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2151.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x2151.value))));
+CheckValue<IkReal> x2152 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2152.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2152.value))));
+IkReal gconst30=((1.0)*new_r10*x2150);
+IkReal gconst31=((-1.0000000008)*new_r00*x2150);
+IkReal x2153=(((new_r01*new_r10))+(((-1.0)*new_r00*new_r11)));
+j5eval[0]=x2153;
+j5eval[1]=IKsign(x2153);
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x2154=x2146;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+CheckValue<IkReal> x2155 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2155.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x2155.value))));
+CheckValue<IkReal> x2156 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2156.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2156.value))));
+IkReal gconst30=((1.0)*new_r10*x2154);
+IkReal gconst31=((-1.0000000008)*new_r00*x2154);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+IkReal x2157=x2146;
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+CheckValue<IkReal> x2158 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2158.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x2158.value))));
+CheckValue<IkReal> x2159 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2159.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2159.value))));
+IkReal gconst30=((1.0)*new_r10*x2157);
+IkReal gconst31=((-1.0000000008)*new_r00*x2157);
+IkReal x2160 = ((((1.0000000016)*(new_r00*new_r00)))+(new_r10*new_r10));
+if(IKabs(x2160)==0){
+continue;
+}
+j5eval[0]=((-1.60000013238459e-9)*new_r00*new_r10*(pow(x2160,-0.5)));
+j5eval[1]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[1];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=IKabs(new_r00);
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+CheckValue<IkReal> x2162 = IKatan2WithCheck(IkReal(new_r10),IkReal(0),IKFAST_ATAN2_MAGTHRESH);
+if(!x2162.valid){
+continue;
+}
+IkReal x2161=((1.0)*(x2162.value));
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+j3=((3.14159265)+(((-1.0)*x2161)));
+new_r00=0;
+IkReal gconst29=((3.14159265358979)+(((-1.0)*x2161)));
+IkReal x2163 = new_r10*new_r10;
+if(IKabs(x2163)==0){
+continue;
+}
+IkReal gconst30=((1.0)*new_r10*(pow(x2163,-0.5)));
+IkReal gconst31=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2165=IKPowWithIntegerCheck(gconst30,-1);
+if(!x2165.valid){
+continue;
+}
+IkReal x2164=x2165.value;
+if( IKabs(((0.9999999992)*new_r11*x2164)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10*x2164)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*x2164))+IKsqr(((-1.0)*new_r10*x2164))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*x2164), ((-1.0)*new_r10*x2164));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2166=IKsin(j5);
+IkReal x2167=IKcos(j5);
+IkReal x2168=((1.0000000008)*x2166);
+IkReal x2169=(gconst30*x2167);
+IkReal x2170=(new_r01*x2167);
+evalcond[0]=(gconst30*x2166);
+evalcond[1]=((-1.0)*new_r10*x2166);
+evalcond[2]=(gconst30+((new_r10*x2167)));
+evalcond[3]=(x2169+new_r10);
+evalcond[4]=(new_r10*x2168);
+evalcond[5]=(((new_r11*x2167))+((new_r01*x2166)));
+evalcond[6]=((((1.0000000008)*x2169))+new_r01);
+evalcond[7]=((((-1.0)*gconst30*x2168))+new_r11);
+evalcond[8]=((((-1.0)*new_r11*x2166))+x2170+(((1.0000000008)*gconst30)));
+evalcond[9]=((((-1.0000000008)*x2170))+((new_r11*x2168))+(((-1.0)*gconst30)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2171=IKPowWithIntegerCheck(gconst30,-1);
+if(!x2171.valid){
+continue;
+}
+CheckValue<IkReal> x2172=IKPowWithIntegerCheck(new_r10,-1);
+if(!x2172.valid){
+continue;
+}
+if( IKabs(((0.9999999992)*new_r11*(x2171.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*gconst30*(x2172.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*(x2171.value)))+IKsqr(((-1.0)*gconst30*(x2172.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*(x2171.value)), ((-1.0)*gconst30*(x2172.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2173=IKsin(j5);
+IkReal x2174=IKcos(j5);
+IkReal x2175=((1.0000000008)*x2173);
+IkReal x2176=(gconst30*x2174);
+IkReal x2177=(new_r01*x2174);
+evalcond[0]=(gconst30*x2173);
+evalcond[1]=((-1.0)*new_r10*x2173);
+evalcond[2]=(gconst30+((new_r10*x2174)));
+evalcond[3]=(x2176+new_r10);
+evalcond[4]=(new_r10*x2175);
+evalcond[5]=(((new_r11*x2174))+((new_r01*x2173)));
+evalcond[6]=((((1.0000000008)*x2176))+new_r01);
+evalcond[7]=((((-1.0)*gconst30*x2175))+new_r11);
+evalcond[8]=(x2177+(((-1.0)*new_r11*x2173))+(((1.0000000008)*gconst30)));
+evalcond[9]=(((new_r11*x2175))+(((-1.0000000008)*x2177))+(((-1.0)*gconst30)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+IkReal x2179 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x2179)==0){
+continue;
+}
+IkReal x2178=pow(x2179,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+CheckValue<IkReal> x2180 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2180.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x2180.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x2181 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2181.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2181.value))));
+IkReal gconst30=((1.0)*new_r10*x2178);
+IkReal gconst31=((-1.0000000008)*new_r00*x2178);
+IkReal x2182=new_r10*new_r10;
+CheckValue<IkReal> x2186=IKPowWithIntegerCheck(((-3.90625000625e+17)+(((625000000.0)*x2182))),-1);
+if(!x2186.valid){
+continue;
+}
+IkReal x2183=x2186.value;
+if((((625000001.0)+(((-1.0)*x2182)))) < -0.00001)
+continue;
+IkReal x2184=IKsqrt(((625000001.0)+(((-1.0)*x2182))));
+IkReal x2185=(x2183*x2184);
+j5eval[0]=1.0;
+j5eval[1]=1.0;
+IkReal x2187 = ((1.0000000016)+(((-1.6e-9)*x2182)));
+if(IKabs(x2187)==0){
+continue;
+}
+j5eval[2]=((IKabs(((((-3.90625000625e+17)*x2185))+(((7.81250000625e+17)*x2182*x2185)))))+(IKabs(((50000.00004)*new_r00*new_r10*(pow(x2187,-0.5))))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x2189 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x2189)==0){
+continue;
+}
+IkReal x2188=pow(x2189,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+CheckValue<IkReal> x2190 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2190.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x2190.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x2191 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2191.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2191.value))));
+IkReal gconst30=((1.0)*new_r10*x2188);
+IkReal gconst31=((-1.0000000008)*new_r00*x2188);
+IkReal x2192=new_r10*new_r10;
+CheckValue<IkReal> x2194=IKPowWithIntegerCheck(((1.0000000016)+(((-1.6e-9)*x2192))),-1);
+if(!x2194.valid){
+continue;
+}
+IkReal x2193=x2194.value;
+IkReal x2195=((1.0)+(((-1.0)*x2192)));
+j5eval[0]=IKsign(((((-625000001.0)*x2193*(x2195*x2195)))+(((625000001.0)*x2193*(x2192*x2192)))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+IkReal x2197 = ((1.0000000016)+(((-1.6e-9)*(new_r10*new_r10))));
+if(IKabs(x2197)==0){
+continue;
+}
+IkReal x2196=pow(x2197,-0.5);
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+sj3=gconst30;
+cj3=gconst31;
+CheckValue<IkReal> x2198 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2198.valid){
+continue;
+}
+j3=((3.14159265)+(((-1.0)*(x2198.value))));
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+CheckValue<IkReal> x2199 = IKatan2WithCheck(IkReal(new_r10),IkReal(((1.0000000008)*new_r00)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2199.valid){
+continue;
+}
+IkReal gconst29=((3.14159265358979)+(((-1.0)*(x2199.value))));
+IkReal gconst30=((1.0)*new_r10*x2196);
+IkReal gconst31=((-1.0000000008)*new_r00*x2196);
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // 3 cases reached
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2206=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2206.valid){
+continue;
+}
+IkReal x2200=x2206.value;
+IkReal x2201=gconst30*gconst30;
+IkReal x2202=((25000.0)*new_r10);
+IkReal x2203=((25000.0)*x2201);
+CheckValue<IkReal> x2207=IKPowWithIntegerCheck(((((-1.0)*gconst30*x2202))+(((25000.00002)*gconst31*new_r00))),-1);
+if(!x2207.valid){
+continue;
+}
+IkReal x2204=x2207.value;
+IkReal x2205=(new_r10*x2204);
+CheckValue<IkReal> x2208=IKPowWithIntegerCheck(((((-25000.0)*gconst30*new_r10))+(((25000.00002)*gconst31*new_r00))),-1);
+if(!x2208.valid){
+continue;
+}
+CheckValue<IkReal> x2209=IKPowWithIntegerCheck(((((-25000.0)*gconst30*new_r10))+(((25000.00002)*gconst31*new_r00))),-1);
+if(!x2209.valid){
+continue;
+}
+CheckValue<IkReal> x2210=IKPowWithIntegerCheck(x2200,-2);
+if(!x2210.valid){
+continue;
+}
+if( IKabs(((((-1.0)*gconst30*x2200))+((new_r00*x2202*(x2208.value)))+(((-1.0)*x2200*x2201*x2202*(x2209.value))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2204*((x2203+(((-25000.0)*(x2210.value))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*gconst30*x2200))+((new_r00*x2202*(x2208.value)))+(((-1.0)*x2200*x2201*x2202*(x2209.value)))))+IKsqr((x2204*((x2203+(((-25000.0)*(x2210.value)))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*gconst30*x2200))+((new_r00*x2202*(x2208.value)))+(((-1.0)*x2200*x2201*x2202*(x2209.value)))), (x2204*((x2203+(((-25000.0)*(x2210.value)))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x2211=IKsin(j5);
+IkReal x2212=IKcos(j5);
+IkReal x2213=((1.0)*gconst31);
+IkReal x2214=((1.0000000008)*x2212);
+IkReal x2215=((1.0000000008)*x2211);
+evalcond[0]=(gconst30+((new_r00*x2211))+((new_r10*x2212)));
+evalcond[1]=(((gconst31*x2214))+((gconst30*x2211))+new_r00);
+evalcond[2]=(((gconst30*x2212))+(((-1.0)*gconst31*x2215))+new_r10);
+evalcond[3]=(((gconst30*x2214))+(((-1.0)*x2211*x2213)));
+evalcond[4]=((((-1.0)*gconst30*x2215))+(((-1.0)*x2212*x2213)));
+evalcond[5]=((((-1.0)*new_r10*x2211))+((new_r00*x2212))+(((1.0000000008)*gconst31)));
+evalcond[6]=((((-1.0)*x2213))+((new_r10*x2215))+(((-1.0)*new_r00*x2214)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2216=gconst30*gconst30;
+IkReal x2217=gconst31*gconst31;
+IkReal x2218=((625000000.0)*x2217);
+IkReal x2219=((625000000.5)*gconst31*x2216);
+CheckValue<IkReal> x2220=IKPowWithIntegerCheck(IKsign(((((625000001.0)*x2216*(new_r10*new_r10)))+(((-1.0)*x2218*(new_r00*new_r00))))),-1);
+if(!x2220.valid){
+continue;
+}
+CheckValue<IkReal> x2221 = IKatan2WithCheck(IkReal((((gconst30*new_r00*x2218))+((new_r10*x2219)))),IkReal(((((-625000001.0)*new_r10*(gconst30*gconst30*gconst30)))+(((-1.0)*new_r00*x2219)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2221.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x2220.value)))+(x2221.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x2222=IKsin(j5);
+IkReal x2223=IKcos(j5);
+IkReal x2224=((1.0)*gconst31);
+IkReal x2225=((1.0000000008)*x2223);
+IkReal x2226=((1.0000000008)*x2222);
+evalcond[0]=(((new_r00*x2222))+((new_r10*x2223))+gconst30);
+evalcond[1]=(((gconst30*x2222))+((gconst31*x2225))+new_r00);
+evalcond[2]=(((gconst30*x2223))+(((-1.0)*gconst31*x2226))+new_r10);
+evalcond[3]=((((-1.0)*x2222*x2224))+((gconst30*x2225)));
+evalcond[4]=((((-1.0)*x2223*x2224))+(((-1.0)*gconst30*x2226)));
+evalcond[5]=(((new_r00*x2223))+(((1.0000000008)*gconst31))+(((-1.0)*new_r10*x2222)));
+evalcond[6]=((((-1.0)*new_r00*x2225))+((new_r10*x2226))+(((-1.0)*x2224)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2227=((25000.0)*gconst30);
+IkReal x2228=((25000.00002)*gconst31);
+CheckValue<IkReal> x2229 = IKatan2WithCheck(IkReal(((((-1.0)*new_r00*x2227))+((new_r10*x2228)))),IkReal(((((-1.0)*new_r00*x2228))+(((-1.0)*new_r10*x2227)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2229.valid){
+continue;
+}
+CheckValue<IkReal> x2230=IKPowWithIntegerCheck(IKsign(((((25000.0)*(new_r10*new_r10)))+(((25000.0)*(new_r00*new_r00))))),-1);
+if(!x2230.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2229.value)+(((1.5707963267949)*(x2230.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[7];
+IkReal x2231=IKsin(j5);
+IkReal x2232=IKcos(j5);
+IkReal x2233=((1.0)*gconst31);
+IkReal x2234=((1.0000000008)*x2232);
+IkReal x2235=((1.0000000008)*x2231);
+evalcond[0]=(((new_r00*x2231))+((new_r10*x2232))+gconst30);
+evalcond[1]=(((gconst31*x2234))+((gconst30*x2231))+new_r00);
+evalcond[2]=(((gconst30*x2232))+(((-1.0)*gconst31*x2235))+new_r10);
+evalcond[3]=(((gconst30*x2234))+(((-1.0)*x2231*x2233)));
+evalcond[4]=((((-1.0)*x2232*x2233))+(((-1.0)*gconst30*x2235)));
+evalcond[5]=(((new_r00*x2232))+(((1.0000000008)*gconst31))+(((-1.0)*new_r10*x2231)));
+evalcond[6]=((((-1.0)*new_r00*x2234))+((new_r10*x2235))+(((-1.0)*x2233)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2237=IKPowWithIntegerCheck(gconst31,-1);
+if(!x2237.valid){
+continue;
+}
+IkReal x2236=x2237.value;
+if( IKabs((new_r01*x2236)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r00*x2236)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((new_r01*x2236))+IKsqr(((-0.9999999992)*new_r00*x2236))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((new_r01*x2236), ((-0.9999999992)*new_r00*x2236));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2238=IKcos(j5);
+IkReal x2239=IKsin(j5);
+IkReal x2240=((1.0)*gconst31);
+IkReal x2241=((1.0000000008)*gconst31);
+IkReal x2242=(new_r00*x2238);
+IkReal x2243=(new_r01*x2238);
+evalcond[0]=(new_r00*x2239);
+evalcond[1]=x2243;
+evalcond[2]=((-1.0)*gconst31*x2238);
+evalcond[3]=((((-1.0)*x2239*x2240))+new_r01);
+evalcond[4]=(((new_r01*x2239))+(((-1.0)*x2240)));
+evalcond[5]=((-1.0000000008)*gconst31*x2239);
+evalcond[6]=((-1.0000000008)*x2243);
+evalcond[7]=(new_r00+((x2238*x2241)));
+evalcond[8]=(x2241+x2242);
+evalcond[9]=((((-1.0000000008)*x2242))+(((-1.0)*x2240)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2249=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2249.valid){
+continue;
+}
+IkReal x2244=x2249.value;
+IkReal x2245=((25000.00002)*gconst31);
+IkReal x2246=((25000.0)*new_r00);
+IkReal x2247=(gconst30*x2244);
+CheckValue<IkReal> x2250=IKPowWithIntegerCheck((((new_r10*x2245))+((gconst30*x2246))),-1);
+if(!x2250.valid){
+continue;
+}
+IkReal x2248=x2250.value;
+if( IKabs(((((-1.0)*x2247))+((new_r10*x2245*x2247*x2248))+(((25000.0)*x2248*(new_r10*new_r10))))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2248*(((((-1.0)*new_r10*x2246))+(((-1.0)*gconst30*x2245)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x2247))+((new_r10*x2245*x2247*x2248))+(((25000.0)*x2248*(new_r10*new_r10)))))+IKsqr((x2248*(((((-1.0)*new_r10*x2246))+(((-1.0)*gconst30*x2245))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x2247))+((new_r10*x2245*x2247*x2248))+(((25000.0)*x2248*(new_r10*new_r10)))), (x2248*(((((-1.0)*new_r10*x2246))+(((-1.0)*gconst30*x2245))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2251=IKcos(j5);
+IkReal x2252=IKsin(j5);
+IkReal x2253=((1.0)*gconst31);
+IkReal x2254=((1.0000000008)*gconst31);
+IkReal x2255=(gconst30*x2252);
+IkReal x2256=(gconst30*x2251);
+IkReal x2257=(new_r11*x2252);
+IkReal x2258=(new_r01*x2251);
+IkReal x2259=(new_r00*x2251);
+IkReal x2260=(new_r10*x2252);
+evalcond[0]=(((new_r00*x2252))+gconst30+((new_r10*x2251)));
+evalcond[1]=((((-1.0)*x2253))+((new_r11*x2251))+((new_r01*x2252)));
+evalcond[2]=(x2255+new_r00+((x2251*x2254)));
+evalcond[3]=(x2256+(((-1.0)*x2252*x2254))+new_r10);
+evalcond[4]=((((-1.0)*x2252*x2253))+new_r01+(((1.0000000008)*x2256)));
+evalcond[5]=((((-1.0000000008)*x2255))+new_r11+(((-1.0)*x2251*x2253)));
+evalcond[6]=(x2259+x2254+(((-1.0)*x2260)));
+evalcond[7]=(x2258+(((-1.0)*x2257))+(((1.0000000008)*gconst30)));
+evalcond[8]=((((1.0000000008)*x2260))+(((-1.0000000008)*x2259))+(((-1.0)*x2253)));
+evalcond[9]=((((-1.0000000008)*x2258))+(((-1.0)*gconst30))+(((1.0000000008)*x2257)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2267=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2267.valid){
+continue;
+}
+IkReal x2261=x2267.value;
+IkReal x2262=gconst30*gconst30;
+IkReal x2263=((25000.0)*new_r10);
+IkReal x2264=((25000.0)*x2262);
+CheckValue<IkReal> x2268=IKPowWithIntegerCheck(((((-1.0)*gconst30*x2263))+(((25000.00002)*gconst31*new_r00))),-1);
+if(!x2268.valid){
+continue;
+}
+IkReal x2265=x2268.value;
+IkReal x2266=(new_r10*x2265);
+CheckValue<IkReal> x2269=IKPowWithIntegerCheck(((((-25000.0)*gconst30*new_r10))+(((25000.00002)*gconst31*new_r00))),-1);
+if(!x2269.valid){
+continue;
+}
+CheckValue<IkReal> x2270=IKPowWithIntegerCheck(((((-25000.0)*gconst30*new_r10))+(((25000.00002)*gconst31*new_r00))),-1);
+if(!x2270.valid){
+continue;
+}
+CheckValue<IkReal> x2271=IKPowWithIntegerCheck(x2261,-2);
+if(!x2271.valid){
+continue;
+}
+if( IKabs(((((-1.0)*x2261*x2262*x2263*(x2269.value)))+((new_r00*x2263*(x2270.value)))+(((-1.0)*gconst30*x2261)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2265*((x2264+(((-25000.0)*(x2271.value))))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*x2261*x2262*x2263*(x2269.value)))+((new_r00*x2263*(x2270.value)))+(((-1.0)*gconst30*x2261))))+IKsqr((x2265*((x2264+(((-25000.0)*(x2271.value)))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((((-1.0)*x2261*x2262*x2263*(x2269.value)))+((new_r00*x2263*(x2270.value)))+(((-1.0)*gconst30*x2261))), (x2265*((x2264+(((-25000.0)*(x2271.value)))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2272=IKcos(j5);
+IkReal x2273=IKsin(j5);
+IkReal x2274=((1.0)*gconst31);
+IkReal x2275=((1.0000000008)*gconst31);
+IkReal x2276=(gconst30*x2273);
+IkReal x2277=(gconst30*x2272);
+IkReal x2278=(new_r11*x2273);
+IkReal x2279=(new_r01*x2272);
+IkReal x2280=(new_r00*x2272);
+IkReal x2281=(new_r10*x2273);
+evalcond[0]=(((new_r10*x2272))+((new_r00*x2273))+gconst30);
+evalcond[1]=(((new_r11*x2272))+((new_r01*x2273))+(((-1.0)*x2274)));
+evalcond[2]=(x2276+((x2272*x2275))+new_r00);
+evalcond[3]=(x2277+(((-1.0)*x2273*x2275))+new_r10);
+evalcond[4]=((((-1.0)*x2273*x2274))+(((1.0000000008)*x2277))+new_r01);
+evalcond[5]=((((-1.0000000008)*x2276))+new_r11+(((-1.0)*x2272*x2274)));
+evalcond[6]=(x2280+x2275+(((-1.0)*x2281)));
+evalcond[7]=(x2279+(((1.0000000008)*gconst30))+(((-1.0)*x2278)));
+evalcond[8]=((((-1.0000000008)*x2280))+(((-1.0)*x2274))+(((1.0000000008)*x2281)));
+evalcond[9]=((((1.0000000008)*x2278))+(((-1.0000000008)*x2279))+(((-1.0)*gconst30)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2282=((1.0)*new_r00);
+CheckValue<IkReal> x2283 = IKatan2WithCheck(IkReal((((gconst30*new_r11))+((gconst31*new_r10)))),IkReal(((((-1.0)*gconst30*new_r01))+(((-1.0)*gconst31*x2282)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2283.valid){
+continue;
+}
+CheckValue<IkReal> x2284=IKPowWithIntegerCheck(IKsign((((new_r01*new_r10))+(((-1.0)*new_r11*x2282)))),-1);
+if(!x2284.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2283.value)+(((1.5707963267949)*(x2284.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2285=IKcos(j5);
+IkReal x2286=IKsin(j5);
+IkReal x2287=((1.0)*gconst31);
+IkReal x2288=((1.0000000008)*gconst31);
+IkReal x2289=(gconst30*x2286);
+IkReal x2290=(gconst30*x2285);
+IkReal x2291=(new_r11*x2286);
+IkReal x2292=(new_r01*x2285);
+IkReal x2293=(new_r00*x2285);
+IkReal x2294=(new_r10*x2286);
+evalcond[0]=(gconst30+((new_r10*x2285))+((new_r00*x2286)));
+evalcond[1]=((((-1.0)*x2287))+((new_r11*x2285))+((new_r01*x2286)));
+evalcond[2]=(x2289+new_r00+((x2285*x2288)));
+evalcond[3]=(x2290+(((-1.0)*x2286*x2288))+new_r10);
+evalcond[4]=((((-1.0)*x2286*x2287))+new_r01+(((1.0000000008)*x2290)));
+evalcond[5]=((((-1.0000000008)*x2289))+(((-1.0)*x2285*x2287))+new_r11);
+evalcond[6]=(x2288+x2293+(((-1.0)*x2294)));
+evalcond[7]=(x2292+(((-1.0)*x2291))+(((1.0000000008)*gconst30)));
+evalcond[8]=((((-1.0000000008)*x2293))+(((-1.0)*x2287))+(((1.0000000008)*x2294)));
+evalcond[9]=((((-1.0000000008)*x2292))+(((-1.0)*gconst30))+(((1.0000000008)*x2291)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+j5eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r11=0;
+new_r01=0;
+new_r22=0;
+new_r20=0;
+j5eval[0]=1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2296 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r00)),IkReal(((1.0000000008)*new_r10)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2296.valid){
+continue;
+}
+IkReal x2295=x2296.value;
+j5array[0]=((-1.0)*x2295);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2295)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x2297=IKcos(j5);
+IkReal x2298=IKsin(j5);
+evalcond[0]=(((new_r00*x2298))+((new_r10*x2297)));
+evalcond[1]=(((new_r00*x2297))+(((-1.0)*new_r10*x2298)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2300 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2300.valid){
+continue;
+}
+IkReal x2299=x2300.value;
+j5array[0]=((-1.0)*x2299);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2299)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x2301=IKsin(j5);
+IkReal x2302=IKcos(j5);
+IkReal x2303=(new_r00*x2302);
+IkReal x2304=(new_r10*x2301);
+evalcond[0]=((((-1.0)*x2304))+x2303);
+evalcond[1]=((((1.0000000008)*x2304))+(((-1.0000000008)*x2303)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r11))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j5eval[0]=new_r00;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r11=0;
+new_r10=0;
+new_r22=0;
+new_r02=0;
+j5eval[0]=new_r00;
+j5eval[1]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2305=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2305.valid){
+continue;
+}
+CheckValue<IkReal> x2306=IKPowWithIntegerCheck(new_r01,-1);
+if(!x2306.valid){
+continue;
+}
+if( IKabs(((-1.0)*sj3*(x2305.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0000000008)*sj3*(x2306.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*sj3*(x2305.value)))+IKsqr(((-1.0000000008)*sj3*(x2306.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*sj3*(x2305.value)), ((-1.0000000008)*sj3*(x2306.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2307=IKsin(j5);
+IkReal x2308=IKcos(j5);
+IkReal x2309=((1.0)*cj3);
+IkReal x2310=((1.0000000008)*cj3);
+IkReal x2311=((1.0000000008)*sj3);
+IkReal x2312=(new_r00*x2308);
+IkReal x2313=(sj3*x2308);
+IkReal x2314=(new_r01*x2308);
+evalcond[0]=(((new_r00*x2307))+sj3);
+evalcond[1]=((((-1.0)*x2309))+((new_r01*x2307)));
+evalcond[2]=(x2312+x2310);
+evalcond[3]=(x2314+x2311);
+evalcond[4]=((((-1.0000000008)*x2312))+(((-1.0)*x2309)));
+evalcond[5]=((((-1.0)*sj3))+(((-1.0000000008)*x2314)));
+evalcond[6]=(x2313+(((-1.0)*x2307*x2310)));
+evalcond[7]=(((x2308*x2310))+((sj3*x2307))+new_r00);
+evalcond[8]=((((-1.0)*x2308*x2309))+(((-1.0)*x2307*x2311)));
+evalcond[9]=(((x2308*x2311))+new_r01+(((-1.0)*x2307*x2309)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2316=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2316.valid){
+continue;
+}
+IkReal x2315=x2316.value;
+if( IKabs(((-1.0)*sj3*x2315)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0000000008)*cj3*x2315)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*sj3*x2315))+IKsqr(((-1.0000000008)*cj3*x2315))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*sj3*x2315), ((-1.0000000008)*cj3*x2315));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2317=IKsin(j5);
+IkReal x2318=IKcos(j5);
+IkReal x2319=((1.0)*cj3);
+IkReal x2320=((1.0000000008)*cj3);
+IkReal x2321=((1.0000000008)*sj3);
+IkReal x2322=(new_r00*x2318);
+IkReal x2323=(sj3*x2318);
+IkReal x2324=(new_r01*x2318);
+evalcond[0]=(sj3+((new_r00*x2317)));
+evalcond[1]=(((new_r01*x2317))+(((-1.0)*x2319)));
+evalcond[2]=(x2322+x2320);
+evalcond[3]=(x2321+x2324);
+evalcond[4]=((((-1.0000000008)*x2322))+(((-1.0)*x2319)));
+evalcond[5]=((((-1.0)*sj3))+(((-1.0000000008)*x2324)));
+evalcond[6]=(x2323+(((-1.0)*x2317*x2320)));
+evalcond[7]=(((sj3*x2317))+((x2318*x2320))+new_r00);
+evalcond[8]=((((-1.0)*x2318*x2319))+(((-1.0)*x2317*x2321)));
+evalcond[9]=(((x2318*x2321))+(((-1.0)*x2317*x2319))+new_r01);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r01)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j5eval[0]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r00=0;
+new_r01=0;
+new_r12=0;
+new_r22=0;
+j5eval[0]=new_r11;
+j5eval[1]=new_r10;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2325=IKPowWithIntegerCheck(new_r11,-1);
+if(!x2325.valid){
+continue;
+}
+CheckValue<IkReal> x2326=IKPowWithIntegerCheck(new_r10,-1);
+if(!x2326.valid){
+continue;
+}
+if( IKabs(((1.0000000008)*sj3*(x2325.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*sj3*(x2326.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((1.0000000008)*sj3*(x2325.value)))+IKsqr(((-1.0)*sj3*(x2326.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((1.0000000008)*sj3*(x2325.value)), ((-1.0)*sj3*(x2326.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2327=IKcos(j5);
+IkReal x2328=IKsin(j5);
+IkReal x2329=((1.0)*cj3);
+IkReal x2330=((1.0000000008)*cj3);
+IkReal x2331=((1.0000000008)*sj3);
+IkReal x2332=(sj3*x2327);
+IkReal x2333=(new_r10*x2328);
+IkReal x2334=(new_r11*x2328);
+evalcond[0]=(sj3+((new_r10*x2327)));
+evalcond[1]=(((new_r11*x2327))+(((-1.0)*x2329)));
+evalcond[2]=(x2330+(((-1.0)*x2333)));
+evalcond[3]=(x2331+(((-1.0)*x2334)));
+evalcond[4]=((((1.0000000008)*x2333))+(((-1.0)*x2329)));
+evalcond[5]=((((-1.0)*sj3))+(((1.0000000008)*x2334)));
+evalcond[6]=(((sj3*x2328))+((x2327*x2330)));
+evalcond[7]=((((-1.0)*x2328*x2330))+x2332+new_r10);
+evalcond[8]=((((-1.0)*x2328*x2329))+((x2327*x2331)));
+evalcond[9]=((((-1.0)*x2328*x2331))+(((-1.0)*x2327*x2329))+new_r11);
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2336=IKPowWithIntegerCheck(new_r10,-1);
+if(!x2336.valid){
+continue;
+}
+IkReal x2335=x2336.value;
+if( IKabs(((1.0000000008)*cj3*x2335)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*sj3*x2335)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((1.0000000008)*cj3*x2335))+IKsqr(((-1.0)*sj3*x2335))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((1.0000000008)*cj3*x2335), ((-1.0)*sj3*x2335));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2337=IKcos(j5);
+IkReal x2338=IKsin(j5);
+IkReal x2339=((1.0)*cj3);
+IkReal x2340=((1.0000000008)*cj3);
+IkReal x2341=((1.0000000008)*sj3);
+IkReal x2342=(sj3*x2337);
+IkReal x2343=(new_r10*x2338);
+IkReal x2344=(new_r11*x2338);
+evalcond[0]=(sj3+((new_r10*x2337)));
+evalcond[1]=((((-1.0)*x2339))+((new_r11*x2337)));
+evalcond[2]=(x2340+(((-1.0)*x2343)));
+evalcond[3]=(x2341+(((-1.0)*x2344)));
+evalcond[4]=((((-1.0)*x2339))+(((1.0000000008)*x2343)));
+evalcond[5]=((((-1.0)*sj3))+(((1.0000000008)*x2344)));
+evalcond[6]=(((sj3*x2338))+((x2337*x2340)));
+evalcond[7]=(x2342+new_r10+(((-1.0)*x2338*x2340)));
+evalcond[8]=((((-1.0)*x2338*x2339))+((x2337*x2341)));
+evalcond[9]=((((-1.0)*x2337*x2339))+new_r11+(((-1.0)*x2338*x2341)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+sj4=-4.0e-5;
+cj4=-1.0;
+j4=3.14163265;
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2346 = IKatan2WithCheck(IkReal(((-1.0000000008)*new_r01)),IkReal(((1.0000000008)*new_r11)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2346.valid){
+continue;
+}
+IkReal x2345=x2346.value;
+j5array[0]=((-1.0)*x2345);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2345)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x2347=IKcos(j5);
+IkReal x2348=IKsin(j5);
+evalcond[0]=(((new_r11*x2347))+((new_r01*x2348)));
+evalcond[1]=((((-1.0)*new_r11*x2348))+((new_r01*x2347)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2350 = IKatan2WithCheck(IkReal(new_r11),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x2350.valid){
+continue;
+}
+IkReal x2349=x2350.value;
+j5array[0]=((-1.0)*x2349);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2349)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[2];
+IkReal x2351=IKsin(j5);
+IkReal x2352=IKcos(j5);
+IkReal x2353=(new_r11*x2351);
+IkReal x2354=(new_r01*x2352);
+evalcond[0]=(x2354+(((-1.0)*x2353)));
+evalcond[1]=((((-1.0000000008)*x2354))+(((1.0000000008)*x2353)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2360=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2360.valid){
+continue;
+}
+IkReal x2355=x2360.value;
+IkReal x2356=(sj3*x2355);
+IkReal x2357=((25000.0)*new_r00);
+IkReal x2358=((25000.00002)*cj3*new_r10);
+CheckValue<IkReal> x2361=IKPowWithIntegerCheck((x2358+((sj3*x2357))),-1);
+if(!x2361.valid){
+continue;
+}
+IkReal x2359=x2361.value;
+if( IKabs((((x2356*x2358*x2359))+(((25000.0)*x2359*(new_r10*new_r10)))+(((-1.0)*x2356)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2359*(((((-1.0)*new_r10*x2357))+(((-25000.00002)*cj3*sj3)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((x2356*x2358*x2359))+(((25000.0)*x2359*(new_r10*new_r10)))+(((-1.0)*x2356))))+IKsqr((x2359*(((((-1.0)*new_r10*x2357))+(((-25000.00002)*cj3*sj3))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((x2356*x2358*x2359))+(((25000.0)*x2359*(new_r10*new_r10)))+(((-1.0)*x2356))), (x2359*(((((-1.0)*new_r10*x2357))+(((-25000.00002)*cj3*sj3))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2362=IKcos(j5);
+IkReal x2363=IKsin(j5);
+IkReal x2364=((1.0)*cj3);
+IkReal x2365=((1.0000000008)*cj3);
+IkReal x2366=(cj3*x2362);
+IkReal x2367=(new_r11*x2363);
+IkReal x2368=(sj3*x2363);
+IkReal x2369=(new_r01*x2362);
+IkReal x2370=(new_r00*x2362);
+IkReal x2371=(sj3*x2362);
+IkReal x2372=(new_r10*x2363);
+evalcond[0]=(((new_r00*x2363))+sj3+((new_r10*x2362)));
+evalcond[1]=(((new_r01*x2363))+(((-1.0)*x2364))+((new_r11*x2362)));
+evalcond[2]=(x2368+((x2362*x2365))+new_r00);
+evalcond[3]=(x2371+new_r10+(((-1.0)*x2363*x2365)));
+evalcond[4]=((((1.0000000008)*x2371))+new_r01+(((-1.0)*x2363*x2364)));
+evalcond[5]=((((-1.0000000008)*x2368))+new_r11+(((-1.0)*x2362*x2364)));
+evalcond[6]=(x2370+x2365+(((-1.0)*x2372)));
+evalcond[7]=(x2369+(((-1.0)*x2367))+(((1.0000000008)*sj3)));
+evalcond[8]=((((-1.0000000008)*x2370))+(((1.0000000008)*x2372))+(((-1.0)*x2364)));
+evalcond[9]=((((-1.0000000008)*x2369))+(((-1.0)*sj3))+(((1.0000000008)*x2367)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2379=IKPowWithIntegerCheck(new_r00,-1);
+if(!x2379.valid){
+continue;
+}
+IkReal x2373=x2379.value;
+IkReal x2374=((25000.0)*cj3);
+IkReal x2375=((25000.0)*new_r01);
+IkReal x2376=(sj3*x2373);
+CheckValue<IkReal> x2380=IKPowWithIntegerCheck((((new_r10*x2374))+(((25000.00002)*new_r00*sj3))),-1);
+if(!x2380.valid){
+continue;
+}
+IkReal x2377=x2380.value;
+IkReal x2378=(new_r10*x2377);
+if( IKabs((((x2375*x2378))+((x2374*x2376*x2378))+(((-1.0)*x2376)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((x2377*(((((-1.0)*new_r00*x2375))+(((-1.0)*sj3*x2374)))))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr((((x2375*x2378))+((x2374*x2376*x2378))+(((-1.0)*x2376))))+IKsqr((x2377*(((((-1.0)*new_r00*x2375))+(((-1.0)*sj3*x2374))))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2((((x2375*x2378))+((x2374*x2376*x2378))+(((-1.0)*x2376))), (x2377*(((((-1.0)*new_r00*x2375))+(((-1.0)*sj3*x2374))))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2381=IKcos(j5);
+IkReal x2382=IKsin(j5);
+IkReal x2383=((1.0)*cj3);
+IkReal x2384=((1.0000000008)*cj3);
+IkReal x2385=(cj3*x2381);
+IkReal x2386=(new_r11*x2382);
+IkReal x2387=(sj3*x2382);
+IkReal x2388=(new_r01*x2381);
+IkReal x2389=(new_r00*x2381);
+IkReal x2390=(sj3*x2381);
+IkReal x2391=(new_r10*x2382);
+evalcond[0]=(((new_r10*x2381))+sj3+((new_r00*x2382)));
+evalcond[1]=(((new_r11*x2381))+((new_r01*x2382))+(((-1.0)*x2383)));
+evalcond[2]=(((x2381*x2384))+x2387+new_r00);
+evalcond[3]=(x2390+(((-1.0)*x2382*x2384))+new_r10);
+evalcond[4]=((((-1.0)*x2382*x2383))+(((1.0000000008)*x2390))+new_r01);
+evalcond[5]=((((-1.0)*x2381*x2383))+(((-1.0000000008)*x2387))+new_r11);
+evalcond[6]=(x2384+x2389+(((-1.0)*x2391)));
+evalcond[7]=(x2388+(((-1.0)*x2386))+(((1.0000000008)*sj3)));
+evalcond[8]=((((-1.0)*x2383))+(((1.0000000008)*x2391))+(((-1.0000000008)*x2389)));
+evalcond[9]=((((-1.0)*sj3))+(((1.0000000008)*x2386))+(((-1.0000000008)*x2388)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+IkReal x2392=((1.0)*new_r00);
+CheckValue<IkReal> x2393 = IKatan2WithCheck(IkReal((((new_r11*sj3))+((cj3*new_r10)))),IkReal(((((-1.0)*new_r01*sj3))+(((-1.0)*cj3*x2392)))),IKFAST_ATAN2_MAGTHRESH);
+if(!x2393.valid){
+continue;
+}
+CheckValue<IkReal> x2394=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r11*x2392))+((new_r01*new_r10)))),-1);
+if(!x2394.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2393.value)+(((1.5707963267949)*(x2394.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2395=IKcos(j5);
+IkReal x2396=IKsin(j5);
+IkReal x2397=((1.0)*cj3);
+IkReal x2398=((1.0000000008)*cj3);
+IkReal x2399=(cj3*x2395);
+IkReal x2400=(new_r11*x2396);
+IkReal x2401=(sj3*x2396);
+IkReal x2402=(new_r01*x2395);
+IkReal x2403=(new_r00*x2395);
+IkReal x2404=(sj3*x2395);
+IkReal x2405=(new_r10*x2396);
+evalcond[0]=(((new_r10*x2395))+sj3+((new_r00*x2396)));
+evalcond[1]=(((new_r11*x2395))+((new_r01*x2396))+(((-1.0)*x2397)));
+evalcond[2]=(x2401+new_r00+((x2395*x2398)));
+evalcond[3]=(x2404+(((-1.0)*x2396*x2398))+new_r10);
+evalcond[4]=((((-1.0)*x2396*x2397))+(((1.0000000008)*x2404))+new_r01);
+evalcond[5]=((((-1.0000000008)*x2401))+new_r11+(((-1.0)*x2395*x2397)));
+evalcond[6]=((((-1.0)*x2405))+x2403+x2398);
+evalcond[7]=((((-1.0)*x2400))+x2402+(((1.0000000008)*sj3)));
+evalcond[8]=((((-1.0000000008)*x2403))+(((1.0000000008)*x2405))+(((-1.0)*x2397)));
+evalcond[9]=((((-1.0)*sj3))+(((-1.0000000008)*x2402))+(((1.0000000008)*x2400)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r20;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((-1.0)*new_r00)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r10)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r00))+IKsqr(((-1.0)*new_r10))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*new_r00), ((-1.0)*new_r10));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2406=IKsin(j5);
+IkReal x2407=IKcos(j5);
+IkReal x2408=((0.9999999992)*cj4);
+IkReal x2409=((4.0e-5)*new_r22);
+IkReal x2410=((1.0000000008)*sj4);
+IkReal x2411=((3.9999999968e-5)*sj4);
+IkReal x2412=((3.9999999968e-5)*cj4);
+IkReal x2413=((0.9999999992)*sj4);
+IkReal x2414=((1.0)*new_r22);
+IkReal x2415=(new_r22*x2413);
+IkReal x2416=(new_r22*x2412);
+IkReal x2417=(new_r22*x2411);
+IkReal x2418=(new_r12*x2406);
+IkReal x2419=(new_r02*x2407);
+IkReal x2420=(new_r01*x2407);
+IkReal x2421=(new_r00*x2407);
+IkReal x2422=(new_r11*x2406);
+IkReal x2423=(new_r10*x2406);
+evalcond[0]=(x2406+new_r00);
+evalcond[1]=(x2407+new_r10);
+evalcond[2]=(((new_r22*x2406))+new_r11);
+evalcond[3]=((((-1.0)*x2407*x2414))+new_r01);
+evalcond[4]=(((new_r12*x2407))+((new_r02*x2406)));
+evalcond[5]=(((new_r01*x2406))+((new_r11*x2407)));
+evalcond[6]=((1.0)+((new_r00*x2406))+((new_r10*x2407)));
+evalcond[7]=(x2421+(((-1.0)*x2423)));
+evalcond[8]=(((new_r22*x2421))+(((-1.0)*x2414*x2423)));
+evalcond[9]=(x2420+(((-1.0)*x2414))+(((-1.0)*x2422)));
+evalcond[10]=((((-1.0)*x2407*x2409))+((x2407*x2410))+new_r02);
+evalcond[11]=((((-1.0)*x2406*x2410))+new_r12+((x2406*x2409)));
+evalcond[12]=(x2410+x2419+(((-1.0)*x2409))+(((-1.0)*x2418)));
+evalcond[13]=((((-1.0)*x2409*x2423))+(((-1.0)*x2410*x2421))+((x2409*x2421))+((x2410*x2423)));
+evalcond[14]=((-1.0)+(((-4.0e-5)*cj4*sj4))+(((1.59999999872e-9)*cj4*new_r22))+(sj4*sj4)+((new_r22*x2420))+(((-1.0)*x2417))+(((-1.0)*x2414*x2422)));
+evalcond[15]=((((-1.0)*x2409*x2422))+x2415+(((-1.0)*x2410*x2420))+((x2409*x2420))+(((-1.0)*x2416))+((x2410*x2422)));
+evalcond[16]=(x2415+(((-1.0)*x2408*x2418))+((x2408*x2419))+(((-1.0)*x2411*x2418))+(((-1.0)*x2416))+((x2411*x2419)));
+evalcond[17]=((-1.0)+x2417+((new_r22*x2408))+((x2413*x2418))+(((-1.0)*x2412*x2418))+(((-1.0)*x2413*x2419))+((x2412*x2419)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r20;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(new_r00) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r10) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r00)+IKsqr(new_r10)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(new_r00, new_r10);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2424=IKcos(j5);
+IkReal x2425=IKsin(j5);
+IkReal x2426=((0.9999999992)*cj4);
+IkReal x2427=((3.9999999968e-5)*cj4);
+IkReal x2428=((3.9999999968e-5)*sj4);
+IkReal x2429=((0.9999999992)*sj4);
+IkReal x2430=(new_r12*x2425);
+IkReal x2431=(new_r02*x2424);
+IkReal x2432=(new_r01*x2424);
+IkReal x2433=(new_r11*x2425);
+IkReal x2434=(new_r10*x2425);
+IkReal x2435=(new_r00*x2424);
+evalcond[0]=((((-1.0)*x2425))+new_r00);
+evalcond[1]=((((-1.0)*x2424))+new_r10);
+evalcond[2]=(((new_r12*x2424))+((new_r02*x2425)));
+evalcond[3]=(((new_r11*x2424))+((new_r01*x2425)));
+evalcond[4]=((-1.0)+((new_r10*x2424))+((new_r00*x2425)));
+evalcond[5]=((((-1.0)*x2434))+x2435);
+evalcond[6]=((((-1.0)*x2424*x2427))+((x2424*x2429))+new_r02);
+evalcond[7]=((((-1.0)*x2425*x2429))+((x2425*x2427))+new_r12);
+evalcond[8]=(((x2424*x2426))+((x2424*x2428))+new_r01);
+evalcond[9]=((((-1.0)*x2425*x2428))+(((-1.0)*x2425*x2426))+new_r11);
+evalcond[10]=((((-1.0)*x2430))+x2431+x2429+(((-1.0)*x2427)));
+evalcond[11]=((((-1.0)*x2433))+x2432+x2428+x2426);
+evalcond[12]=(((x2429*x2434))+(((-1.0)*x2427*x2434))+(((-1.0)*x2429*x2435))+((x2427*x2435)));
+evalcond[13]=(((x2428*x2435))+(((-1.0)*x2426*x2434))+(((-1.0)*x2428*x2434))+((x2426*x2435)));
+evalcond[14]=(((x2429*x2433))+((new_r21*x2426))+((new_r21*x2428))+(((-1.0)*x2427*x2433))+(((-1.0)*x2429*x2432))+((x2427*x2432)));
+evalcond[15]=(((x2428*x2431))+(((-1.0)*x2426*x2430))+((new_r22*x2429))+(((-1.0)*x2428*x2430))+((x2426*x2431))+(((-1.0)*new_r22*x2427)));
+evalcond[16]=((-1.0)+((x2429*x2430))+(((-1.0)*x2427*x2430))+((new_r22*x2426))+((new_r22*x2428))+(((-1.0)*x2429*x2431))+((x2427*x2431)));
+evalcond[17]=((1.0)+((x2428*x2432))+((new_r21*x2429))+(((-1.0)*x2426*x2433))+(((-1.0)*new_r21*x2427))+(((-1.0)*x2428*x2433))+((x2426*x2432)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j3))), 6.28318530717959)));
+evalcond[1]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(new_r01) < IKFAST_ATAN2_MAGTHRESH && IKabs(new_r11) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(new_r01)+IKsqr(new_r11)-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(new_r01, new_r11);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2436=IKsin(j5);
+IkReal x2437=IKcos(j5);
+IkReal x2438=((0.9999999992)*cj4);
+IkReal x2439=((0.9999999992)*sj4);
+IkReal x2440=((4.0e-5)*new_r22);
+IkReal x2441=((3.9999999968e-5)*sj4);
+IkReal x2442=((3.9999999968e-5)*cj4);
+IkReal x2443=((1.0000000008)*sj4);
+IkReal x2444=((1.0)*new_r22);
+IkReal x2445=(new_r12*x2436);
+IkReal x2446=(new_r02*x2437);
+IkReal x2447=(new_r01*x2437);
+IkReal x2448=(new_r11*x2436);
+IkReal x2449=(new_r00*x2437);
+IkReal x2450=(new_r10*x2436);
+evalcond[0]=(((new_r22*x2436))+new_r10);
+evalcond[1]=((((-1.0)*x2436))+new_r01);
+evalcond[2]=((((-1.0)*x2437))+new_r11);
+evalcond[3]=((((-1.0)*x2437*x2444))+new_r00);
+evalcond[4]=(((new_r12*x2437))+((new_r02*x2436)));
+evalcond[5]=(((new_r00*x2436))+((new_r10*x2437)));
+evalcond[6]=((-1.0)+((new_r01*x2436))+((new_r11*x2437)));
+evalcond[7]=(x2447+(((-1.0)*x2448)));
+evalcond[8]=((((-1.0)*x2444*x2448))+((new_r22*x2447)));
+evalcond[9]=(x2449+(((-1.0)*x2450))+(((-1.0)*x2444)));
+evalcond[10]=((((-1.0)*x2437*x2440))+((x2437*x2443))+new_r02);
+evalcond[11]=((((-1.0)*x2436*x2443))+new_r12+((x2436*x2440)));
+evalcond[12]=(x2443+x2446+(((-1.0)*x2445))+(((-1.0)*x2440)));
+evalcond[13]=((((-1.0)*x2443*x2447))+((x2443*x2448))+((x2440*x2447))+(((-1.0)*x2440*x2448)));
+evalcond[14]=((((-1.0)*x2442*x2450))+((x2442*x2449))+((new_r20*x2441))+(((-1.0)*x2439*x2449))+((x2439*x2450))+((new_r20*x2438)));
+evalcond[15]=(((new_r22*x2439))+(((-1.0)*x2441*x2445))+(((-1.0)*x2438*x2445))+((x2441*x2446))+(((-1.0)*new_r22*x2442))+((x2438*x2446)));
+evalcond[16]=((-1.0)+((new_r22*x2438))+((x2442*x2446))+(((-1.0)*x2439*x2446))+((new_r22*x2441))+((x2439*x2445))+(((-1.0)*x2442*x2445)));
+evalcond[17]=((-1.0)+(((-1.0)*new_r20*x2442))+(((-1.0)*x2441*x2450))+(((-1.0)*x2438*x2450))+((x2441*x2449))+((x2438*x2449))+((new_r20*x2439)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r21;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+if( IKabs(((-1.0)*new_r01)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-1.0)*new_r11)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((-1.0)*new_r01))+IKsqr(((-1.0)*new_r11))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((-1.0)*new_r01), ((-1.0)*new_r11));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2451=IKcos(j5);
+IkReal x2452=IKsin(j5);
+IkReal x2453=((0.9999999992)*cj4);
+IkReal x2454=((0.9999999992)*sj4);
+IkReal x2455=((3.9999999968e-5)*cj4);
+IkReal x2456=((3.9999999968e-5)*sj4);
+IkReal x2457=((1.0)*new_r22);
+IkReal x2458=(new_r12*x2452);
+IkReal x2459=(new_r02*x2451);
+IkReal x2460=(new_r01*x2451);
+IkReal x2461=(new_r11*x2452);
+IkReal x2462=(new_r00*x2451);
+IkReal x2463=(new_r10*x2452);
+evalcond[0]=(x2452+new_r01);
+evalcond[1]=(x2451+new_r11);
+evalcond[2]=(((new_r22*x2451))+new_r00);
+evalcond[3]=((((-1.0)*x2452*x2457))+new_r10);
+evalcond[4]=(((new_r12*x2451))+((new_r02*x2452)));
+evalcond[5]=(((new_r10*x2451))+((new_r00*x2452)));
+evalcond[6]=((1.0)+((new_r11*x2451))+((new_r01*x2452)));
+evalcond[7]=(x2460+(((-1.0)*x2461)));
+evalcond[8]=(x2462+(((-1.0)*x2463))+new_r22);
+evalcond[9]=((((-1.0)*x2457*x2461))+((new_r22*x2460)));
+evalcond[10]=((((-1.0)*x2451*x2455))+((x2451*x2454))+new_r02);
+evalcond[11]=((((-1.0)*x2452*x2454))+((x2452*x2455))+new_r12);
+evalcond[12]=(x2459+(((25000.0)*new_r22))+(((-625000001.0)*new_r20))+(((-625000000.5)*sj4))+(((-1.0)*x2458)));
+evalcond[13]=((((-1.0)*x2454*x2460))+(((-1.0)*x2455*x2461))+((x2454*x2461))+((x2455*x2460)));
+evalcond[14]=((((-1.0)*x2454*x2462))+((new_r20*x2456))+((new_r20*x2453))+(((-1.0)*x2455*x2463))+((x2454*x2463))+((x2455*x2462)));
+evalcond[15]=((((-1.0)*x2453*x2458))+((x2453*x2459))+(((-1.0)*x2456*x2458))+((x2456*x2459))+((new_r22*x2454))+(((-1.0)*new_r22*x2455)));
+evalcond[16]=((-1.0)+(((-1.0)*x2454*x2459))+((x2454*x2458))+((new_r22*x2453))+((new_r22*x2456))+((x2455*x2459))+(((-1.0)*x2455*x2458)));
+evalcond[17]=((1.0)+((new_r20*x2454))+(((-1.0)*new_r20*x2455))+(((-1.0)*x2456*x2463))+((x2453*x2462))+((x2456*x2462))+(((-1.0)*x2453*x2463)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[3];
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=sj4;
+j5eval[1]=IKsign(sj4);
+j5eval[2]=((1.0)+(new_r12*new_r12)+(((-1.0)*(new_r01*new_r01))));
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=new_r01;
+j5eval[1]=sj4;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[2];
+new_r00=0;
+new_r10=0;
+new_r21=0;
+new_r22=0;
+j5eval[0]=sj4;
+j5eval[1]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j4))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r01;
+evalcond[4]=new_r11;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+j5array[0]=0;
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r12;
+evalcond[3]=new_r01;
+evalcond[4]=new_r11;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+j5array[0]=0;
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2466=IKPowWithIntegerCheck(sj4,-1);
+if(!x2466.valid){
+continue;
+}
+IkReal x2464=x2466.value;
+IkReal x2465=(new_r12*x2464);
+CheckValue<IkReal> x2467=IKPowWithIntegerCheck(new_r11,-1);
+if(!x2467.valid){
+continue;
+}
+if( IKabs(((0.9999999992)*x2465)) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*new_r01*x2465*(x2467.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*x2465))+IKsqr(((-0.9999999992)*new_r01*x2465*(x2467.value)))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*x2465), ((-0.9999999992)*new_r01*x2465*(x2467.value)));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2468=IKcos(j5);
+IkReal x2469=IKsin(j5);
+IkReal x2470=((0.9999999992)*cj4);
+IkReal x2471=((3.9999999968e-5)*sj4);
+IkReal x2472=((1.0000000008)*sj4);
+IkReal x2473=(new_r12*x2469);
+IkReal x2474=(new_r02*x2468);
+IkReal x2475=(new_r11*x2469);
+IkReal x2476=(new_r01*x2468);
+evalcond[0]=(((new_r02*x2469))+((new_r12*x2468)));
+evalcond[1]=(((new_r01*x2469))+((new_r11*x2468)));
+evalcond[2]=(((x2468*x2472))+new_r02);
+evalcond[3]=((((-1.0)*x2469*x2472))+new_r12);
+evalcond[4]=(x2476+(((-1.0)*x2475)));
+evalcond[5]=(x2474+x2472+(((-1.0)*x2473)));
+evalcond[6]=((((-1.0)*x2472*x2476))+((x2472*x2475)));
+evalcond[7]=((-1.0)+(((-1.0)*x2472*x2474))+((x2472*x2473)));
+evalcond[8]=(((x2471*x2474))+(((-1.0)*x2470*x2473))+(((-1.0)*x2471*x2473))+((x2470*x2474)));
+evalcond[9]=(((x2471*x2476))+(((-1.0)*x2470*x2475))+(((-1.0)*x2471*x2475))+((x2470*x2476)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2479=IKPowWithIntegerCheck(sj4,-1);
+if(!x2479.valid){
+continue;
+}
+IkReal x2477=x2479.value;
+IkReal x2478=(new_r02*x2477);
+CheckValue<IkReal> x2480=IKPowWithIntegerCheck(new_r01,-1);
+if(!x2480.valid){
+continue;
+}
+if( IKabs(((0.9999999992)*new_r11*x2478*(x2480.value))) < IKFAST_ATAN2_MAGTHRESH && IKabs(((-0.9999999992)*x2478)) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((0.9999999992)*new_r11*x2478*(x2480.value)))+IKsqr(((-0.9999999992)*x2478))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j5array[0]=IKatan2(((0.9999999992)*new_r11*x2478*(x2480.value)), ((-0.9999999992)*x2478));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2481=IKcos(j5);
+IkReal x2482=IKsin(j5);
+IkReal x2483=((0.9999999992)*cj4);
+IkReal x2484=((3.9999999968e-5)*sj4);
+IkReal x2485=((1.0000000008)*sj4);
+IkReal x2486=(new_r12*x2482);
+IkReal x2487=(new_r02*x2481);
+IkReal x2488=(new_r11*x2482);
+IkReal x2489=(new_r01*x2481);
+evalcond[0]=(((new_r02*x2482))+((new_r12*x2481)));
+evalcond[1]=(((new_r01*x2482))+((new_r11*x2481)));
+evalcond[2]=(((x2481*x2485))+new_r02);
+evalcond[3]=((((-1.0)*x2482*x2485))+new_r12);
+evalcond[4]=(x2489+(((-1.0)*x2488)));
+evalcond[5]=(x2487+x2485+(((-1.0)*x2486)));
+evalcond[6]=(((x2485*x2488))+(((-1.0)*x2485*x2489)));
+evalcond[7]=((-1.0)+((x2485*x2486))+(((-1.0)*x2485*x2487)));
+evalcond[8]=(((x2483*x2487))+((x2484*x2487))+(((-1.0)*x2484*x2486))+(((-1.0)*x2483*x2486)));
+evalcond[9]=(((x2483*x2489))+((x2484*x2489))+(((-1.0)*x2484*x2488))+(((-1.0)*x2483*x2488)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2490 = IKatan2WithCheck(IkReal(((625000000.5)*new_r12)),IkReal(((-625000000.5)*new_r02)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2490.valid){
+continue;
+}
+CheckValue<IkReal> x2491=IKPowWithIntegerCheck(IKsign(sj4),-1);
+if(!x2491.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2490.value)+(((1.5707963267949)*(x2491.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[10];
+IkReal x2492=IKcos(j5);
+IkReal x2493=IKsin(j5);
+IkReal x2494=((0.9999999992)*cj4);
+IkReal x2495=((3.9999999968e-5)*sj4);
+IkReal x2496=((1.0000000008)*sj4);
+IkReal x2497=(new_r12*x2493);
+IkReal x2498=(new_r02*x2492);
+IkReal x2499=(new_r11*x2493);
+IkReal x2500=(new_r01*x2492);
+evalcond[0]=(((new_r02*x2493))+((new_r12*x2492)));
+evalcond[1]=(((new_r01*x2493))+((new_r11*x2492)));
+evalcond[2]=(((x2492*x2496))+new_r02);
+evalcond[3]=((((-1.0)*x2493*x2496))+new_r12);
+evalcond[4]=(x2500+(((-1.0)*x2499)));
+evalcond[5]=(x2498+x2496+(((-1.0)*x2497)));
+evalcond[6]=(((x2496*x2499))+(((-1.0)*x2496*x2500)));
+evalcond[7]=((-1.0)+(((-1.0)*x2496*x2498))+((x2496*x2497)));
+evalcond[8]=((((-1.0)*x2495*x2497))+((x2494*x2498))+(((-1.0)*x2494*x2497))+((x2495*x2498)));
+evalcond[9]=((((-1.0)*x2495*x2499))+((x2494*x2500))+(((-1.0)*x2494*x2499))+((x2495*x2500)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r00))+(IKabs(new_r02)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r00=0;
+new_r02=0;
+new_r11=0;
+new_r21=0;
+j5eval[0]=cj3;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+new_r00=0;
+new_r02=0;
+new_r11=0;
+new_r21=0;
+j5eval[0]=new_r01;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+new_r00=0;
+new_r02=0;
+new_r11=0;
+new_r21=0;
+j5eval[0]=((((25000.0)*cj3*cj4))+((cj3*sj4)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r12;
+evalcond[2]=new_r20;
+evalcond[3]=new_r10;
+evalcond[4]=new_r01;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r00=0;
+new_r02=0;
+new_r11=0;
+new_r21=0;
+sj3=1.0;
+cj3=0;
+j3=1.5707963267949;
+j5eval[0]=IKabs(((((-25000.0)*sj4))+cj4));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+IkReal x2501=((25000.0)*sj4);
+op[0]=((((-1.0)*x2501))+cj4);
+op[1]=0;
+op[2]=(x2501+(((-1.0)*cj4)));
+polyroots2(op,zeror,numroots);
+IkReal j5array[2], cj5array[2], sj5array[2], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[2]={true,true};
+_nj5 = 2;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r12;
+evalcond[2]=new_r20;
+evalcond[3]=new_r10;
+evalcond[4]=new_r01;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r00=0;
+new_r02=0;
+new_r11=0;
+new_r21=0;
+sj3=-1.0;
+cj3=0;
+j3=-1.5707963267949;
+j5eval[0]=IKabs(((((-25000.0)*sj4))+cj4));
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+IkReal x2502=((25000.0)*sj4);
+op[0]=((((-1.0)*x2502))+cj4);
+op[1]=0;
+op[2]=(x2502+(((-1.0)*cj4)));
+polyroots2(op,zeror,numroots);
+IkReal j5array[2], cj5array[2], sj5array[2], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[2]={true,true};
+_nj5 = 2;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2503=IKPowWithIntegerCheck(((((0.9999999992)*cj3*cj4))+(((3.9999999968e-5)*cj3*sj4))),-1);
+if(!x2503.valid){
+continue;
+}
+sj5array[0]=((-1.0)*new_r10*(x2503.value));
+if( sj5array[0] >= -1-IKFAST_SINCOS_THRESH && sj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKasin(sj5array[0]);
+ cj5array[0] = IKcos(j5array[0]);
+ sj5array[1] = sj5array[0];
+ j5array[1] = j5array[0] > 0 ? (IKPI-j5array[0]) : (-IKPI-j5array[0]);
+ cj5array[1] = -cj5array[0];
+}
+else if( isnan(sj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[15];
+IkReal x2504=IKcos(j5);
+IkReal x2505=IKsin(j5);
+IkReal x2506=((3.9999999968e-5)*cj4);
+IkReal x2507=((1.0)*cj3);
+IkReal x2508=(cj3*cj4);
+IkReal x2509=((25000.00002)*sj4);
+IkReal x2510=((0.9999999992)*sj4);
+IkReal x2511=((3.9999999968e-5)*sj4);
+IkReal x2512=(new_r01*x2504);
+IkReal x2513=((0.9999999992)*x2504);
+IkReal x2514=(new_r12*x2505);
+IkReal x2515=(new_r10*x2505);
+IkReal x2516=(cj3*x2504);
+evalcond[0]=(new_r12*x2504);
+evalcond[1]=(new_r10*x2504);
+evalcond[2]=x2512;
+evalcond[3]=((-1.0)*x2514);
+evalcond[4]=((-1.0)*x2516);
+evalcond[5]=(new_r01+(((-1.0)*x2505*x2507)));
+evalcond[6]=(((new_r01*x2505))+(((-1.0)*x2507)));
+evalcond[7]=(x2509*x2512);
+evalcond[8]=((-25000.00002)*sj4*x2514);
+evalcond[9]=(((x2504*x2510))+(((-1.0)*x2504*x2506)));
+evalcond[10]=((((-1.0)*cj3*x2511))+(((-1.0)*x2515))+(((-0.9999999992)*x2508)));
+evalcond[11]=((((-1.0)*x2508*x2513))+(((-1.0)*x2511*x2516)));
+evalcond[12]=((((-1.0)*x2510*x2512))+((x2506*x2512)));
+CheckValue<IkReal> x2517=IKPowWithIntegerCheck(((((25000.00002)*cj4))+(((-625000000.5)*sj4))),-1);
+if(!x2517.valid){
+continue;
+}
+evalcond[13]=((((625000001.0)*new_r20*(x2517.value)))+(((-1.0)*x2509*x2515)));
+evalcond[14]=((((0.9999999992)*cj4*new_r20))+(((-1.0)*x2506*x2515))+((x2510*x2515))+((new_r20*x2511)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2518=IKPowWithIntegerCheck(new_r01,-1);
+if(!x2518.valid){
+continue;
+}
+sj5array[0]=(cj3*(x2518.value));
+if( sj5array[0] >= -1-IKFAST_SINCOS_THRESH && sj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKasin(sj5array[0]);
+ cj5array[0] = IKcos(j5array[0]);
+ sj5array[1] = sj5array[0];
+ j5array[1] = j5array[0] > 0 ? (IKPI-j5array[0]) : (-IKPI-j5array[0]);
+ cj5array[1] = -cj5array[0];
+}
+else if( isnan(sj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[15];
+IkReal x2519=IKcos(j5);
+IkReal x2520=IKsin(j5);
+IkReal x2521=((3.9999999968e-5)*cj4);
+IkReal x2522=(cj3*cj4);
+IkReal x2523=((3.9999999968e-5)*cj3);
+IkReal x2524=(new_r01*x2519);
+IkReal x2525=((0.9999999992)*x2519);
+IkReal x2526=(new_r12*x2520);
+IkReal x2527=(sj4*x2520);
+IkReal x2528=(new_r10*x2520);
+evalcond[0]=(new_r12*x2519);
+evalcond[1]=(new_r10*x2519);
+evalcond[2]=x2524;
+evalcond[3]=((-1.0)*x2526);
+evalcond[4]=((-1.0)*cj3*x2519);
+evalcond[5]=((((-1.0)*cj3*x2520))+new_r01);
+evalcond[6]=((25000.00002)*sj4*x2524);
+evalcond[7]=((-25000.00002)*sj4*x2526);
+evalcond[8]=(((sj4*x2525))+(((-1.0)*x2519*x2521)));
+evalcond[9]=((((-1.0)*sj4*x2523))+(((-1.0)*x2528))+(((-0.9999999992)*x2522)));
+evalcond[10]=((((-1.0)*x2522*x2525))+(((-1.0)*sj4*x2519*x2523)));
+evalcond[11]=((((-0.9999999992)*sj4*x2524))+((x2521*x2524)));
+evalcond[12]=((((0.9999999992)*x2520*x2522))+new_r10+((x2523*x2527)));
+CheckValue<IkReal> x2529=IKPowWithIntegerCheck(((((25000.00002)*cj4))+(((-625000000.5)*sj4))),-1);
+if(!x2529.valid){
+continue;
+}
+evalcond[13]=((((625000001.0)*new_r20*(x2529.value)))+(((-25000.00002)*new_r10*x2527)));
+evalcond[14]=((((0.9999999992)*cj4*new_r20))+(((0.9999999992)*new_r10*x2527))+(((3.9999999968e-5)*new_r20*sj4))+(((-1.0)*x2521*x2528)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2530=IKPowWithIntegerCheck(cj3,-1);
+if(!x2530.valid){
+continue;
+}
+sj5array[0]=(new_r01*(x2530.value));
+if( sj5array[0] >= -1-IKFAST_SINCOS_THRESH && sj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKasin(sj5array[0]);
+ cj5array[0] = IKcos(j5array[0]);
+ sj5array[1] = sj5array[0];
+ j5array[1] = j5array[0] > 0 ? (IKPI-j5array[0]) : (-IKPI-j5array[0]);
+ cj5array[1] = -cj5array[0];
+}
+else if( isnan(sj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[15];
+IkReal x2531=IKcos(j5);
+IkReal x2532=IKsin(j5);
+IkReal x2533=((3.9999999968e-5)*cj4);
+IkReal x2534=(cj3*cj4);
+IkReal x2535=((3.9999999968e-5)*cj3);
+IkReal x2536=(new_r01*x2531);
+IkReal x2537=((0.9999999992)*x2531);
+IkReal x2538=(new_r12*x2532);
+IkReal x2539=(sj4*x2532);
+IkReal x2540=(new_r10*x2532);
+evalcond[0]=(new_r12*x2531);
+evalcond[1]=(new_r10*x2531);
+evalcond[2]=x2536;
+evalcond[3]=((-1.0)*x2538);
+evalcond[4]=((-1.0)*cj3*x2531);
+evalcond[5]=(((new_r01*x2532))+(((-1.0)*cj3)));
+evalcond[6]=((25000.00002)*sj4*x2536);
+evalcond[7]=((-25000.00002)*sj4*x2538);
+evalcond[8]=(((sj4*x2537))+(((-1.0)*x2531*x2533)));
+evalcond[9]=((((-1.0)*x2540))+(((-1.0)*sj4*x2535))+(((-0.9999999992)*x2534)));
+evalcond[10]=((((-1.0)*x2534*x2537))+(((-1.0)*sj4*x2531*x2535)));
+evalcond[11]=((((-0.9999999992)*sj4*x2536))+((x2533*x2536)));
+evalcond[12]=((((0.9999999992)*x2532*x2534))+new_r10+((x2535*x2539)));
+CheckValue<IkReal> x2541=IKPowWithIntegerCheck(((((25000.00002)*cj4))+(((-625000000.5)*sj4))),-1);
+if(!x2541.valid){
+continue;
+}
+evalcond[13]=((((-25000.00002)*new_r10*x2539))+(((625000001.0)*new_r20*(x2541.value))));
+evalcond[14]=((((0.9999999992)*cj4*new_r20))+(((0.9999999992)*new_r10*x2539))+(((-1.0)*x2533*x2540))+(((3.9999999968e-5)*new_r20*sj4)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r12))+(IKabs(new_r10)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r10=0;
+new_r12=0;
+new_r21=0;
+new_r01=0;
+j5eval[0]=cj3;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+new_r10=0;
+new_r12=0;
+new_r21=0;
+new_r01=0;
+j5eval[0]=new_r11;
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+new_r10=0;
+new_r12=0;
+new_r21=0;
+new_r01=0;
+j5eval[0]=((((-25000.0)*cj3*cj4))+(((-1.0)*cj3*sj4)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-1.5707963267949)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r20;
+evalcond[3]=new_r00;
+evalcond[4]=new_r11;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+j5array[0]=0;
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((1.5707963267949)+j3)))), 6.28318530717959)));
+evalcond[1]=new_r02;
+evalcond[2]=new_r20;
+evalcond[3]=new_r00;
+evalcond[4]=new_r11;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+j5array[0]=0;
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2542=IKPowWithIntegerCheck(((((-0.9999999992)*cj3*cj4))+(((-3.9999999968e-5)*cj3*sj4))),-1);
+if(!x2542.valid){
+continue;
+}
+cj5array[0]=((-1.0)*new_r00*(x2542.value));
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[15];
+IkReal x2543=IKsin(j5);
+IkReal x2544=IKcos(j5);
+IkReal x2545=((3.9999999968e-5)*sj4);
+IkReal x2546=((1.0)*cj3);
+IkReal x2547=((0.9999999992)*cj4);
+IkReal x2548=((25000.00002)*sj4);
+IkReal x2549=((0.9999999992)*sj4);
+IkReal x2550=(cj3*x2543);
+IkReal x2551=(new_r00*x2544);
+IkReal x2552=(new_r02*x2544);
+IkReal x2553=((3.9999999968e-5)*cj4*x2543);
+IkReal x2554=(new_r11*sj4*x2543);
+evalcond[0]=(new_r02*x2543);
+evalcond[1]=(new_r00*x2543);
+evalcond[2]=x2552;
+evalcond[3]=((-1.0)*new_r11*x2543);
+evalcond[4]=((-1.0)*x2550);
+evalcond[5]=((((-1.0)*x2544*x2546))+new_r11);
+evalcond[6]=((((-1.0)*x2546))+((new_r11*x2544)));
+evalcond[7]=(x2548*x2552);
+evalcond[8]=((-25000.00002)*x2554);
+evalcond[9]=(x2553+(((-1.0)*x2543*x2549)));
+evalcond[10]=(x2551+(((-1.0)*cj3*x2547))+(((-1.0)*cj3*x2545)));
+evalcond[11]=(((x2547*x2550))+((x2545*x2550)));
+evalcond[12]=((((-1.0)*new_r11*x2553))+((new_r11*x2543*x2549)));
+CheckValue<IkReal> x2555=IKPowWithIntegerCheck(((((25000.00002)*cj4))+(((-625000000.5)*sj4))),-1);
+if(!x2555.valid){
+continue;
+}
+evalcond[13]=((((625000001.0)*new_r20*(x2555.value)))+((x2548*x2551)));
+evalcond[14]=((((-1.0)*x2549*x2551))+((new_r20*x2547))+((new_r20*x2545))+(((3.9999999968e-5)*cj4*x2551)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2556=IKPowWithIntegerCheck(new_r11,-1);
+if(!x2556.valid){
+continue;
+}
+cj5array[0]=(cj3*(x2556.value));
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[15];
+IkReal x2557=IKsin(j5);
+IkReal x2558=IKcos(j5);
+IkReal x2559=((3.9999999968e-5)*sj4);
+IkReal x2560=((0.9999999992)*cj4);
+IkReal x2561=((25000.00002)*sj4);
+IkReal x2562=((0.9999999992)*sj4);
+IkReal x2563=(cj3*x2557);
+IkReal x2564=(cj3*x2558);
+IkReal x2565=(new_r00*x2558);
+IkReal x2566=(new_r02*x2558);
+IkReal x2567=((3.9999999968e-5)*cj4*x2557);
+IkReal x2568=(new_r11*sj4*x2557);
+evalcond[0]=(new_r02*x2557);
+evalcond[1]=(new_r00*x2557);
+evalcond[2]=x2566;
+evalcond[3]=((-1.0)*new_r11*x2557);
+evalcond[4]=((-1.0)*x2563);
+evalcond[5]=((((-1.0)*x2564))+new_r11);
+evalcond[6]=(x2561*x2566);
+evalcond[7]=((-25000.00002)*x2568);
+evalcond[8]=(x2567+(((-1.0)*x2557*x2562)));
+evalcond[9]=(x2565+(((-1.0)*cj3*x2559))+(((-1.0)*cj3*x2560)));
+evalcond[10]=(((x2560*x2563))+((x2559*x2563)));
+evalcond[11]=((((-1.0)*new_r11*x2567))+((new_r11*x2557*x2562)));
+evalcond[12]=((((-1.0)*x2560*x2564))+(((-1.0)*x2559*x2564))+new_r00);
+CheckValue<IkReal> x2569=IKPowWithIntegerCheck(((((25000.00002)*cj4))+(((-625000000.5)*sj4))),-1);
+if(!x2569.valid){
+continue;
+}
+evalcond[13]=((((625000001.0)*new_r20*(x2569.value)))+((x2561*x2565)));
+evalcond[14]=((((3.9999999968e-5)*cj4*x2565))+(((-1.0)*x2562*x2565))+((new_r20*x2559))+((new_r20*x2560)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2570=IKPowWithIntegerCheck(cj3,-1);
+if(!x2570.valid){
+continue;
+}
+cj5array[0]=(new_r11*(x2570.value));
+if( cj5array[0] >= -1-IKFAST_SINCOS_THRESH && cj5array[0] <= 1+IKFAST_SINCOS_THRESH )
+{
+ j5valid[0] = j5valid[1] = true;
+ j5array[0] = IKacos(cj5array[0]);
+ sj5array[0] = IKsin(j5array[0]);
+ cj5array[1] = cj5array[0];
+ j5array[1] = -j5array[0];
+ sj5array[1] = -sj5array[0];
+}
+else if( isnan(cj5array[0]) )
+{
+ // probably any value will work
+ j5valid[0] = true;
+ cj5array[0] = 1; sj5array[0] = 0; j5array[0] = 0;
+}
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[15];
+IkReal x2571=IKsin(j5);
+IkReal x2572=IKcos(j5);
+IkReal x2573=((3.9999999968e-5)*sj4);
+IkReal x2574=((0.9999999992)*cj3);
+IkReal x2575=((0.9999999992)*cj4);
+IkReal x2576=((25000.00002)*sj4);
+IkReal x2577=((0.9999999992)*sj4);
+IkReal x2578=(cj3*x2571);
+IkReal x2579=(cj4*x2572);
+IkReal x2580=(new_r00*x2572);
+IkReal x2581=(new_r02*x2572);
+IkReal x2582=((3.9999999968e-5)*cj4*x2571);
+IkReal x2583=(new_r11*sj4*x2571);
+evalcond[0]=(new_r02*x2571);
+evalcond[1]=(new_r00*x2571);
+evalcond[2]=x2581;
+evalcond[3]=((-1.0)*new_r11*x2571);
+evalcond[4]=((-1.0)*x2578);
+evalcond[5]=(((new_r11*x2572))+(((-1.0)*cj3)));
+evalcond[6]=(x2576*x2581);
+evalcond[7]=((-25000.00002)*x2583);
+evalcond[8]=(x2582+(((-1.0)*x2571*x2577)));
+evalcond[9]=(x2580+(((-1.0)*cj3*x2573))+(((-1.0)*cj4*x2574)));
+evalcond[10]=(((x2573*x2578))+((cj4*x2571*x2574)));
+evalcond[11]=(((new_r11*x2571*x2577))+(((-1.0)*new_r11*x2582)));
+evalcond[12]=((((-1.0)*cj3*x2572*x2573))+new_r00+(((-1.0)*x2574*x2579)));
+CheckValue<IkReal> x2584=IKPowWithIntegerCheck(((((25000.00002)*cj4))+(((-625000000.5)*sj4))),-1);
+if(!x2584.valid){
+continue;
+}
+evalcond[13]=((((625000001.0)*new_r20*(x2584.value)))+((x2576*x2580)));
+evalcond[14]=((((3.9999999968e-5)*new_r00*x2579))+((new_r20*x2575))+((new_r20*x2573))+(((-1.0)*x2577*x2580)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((IKabs(new_r12))+(IKabs(new_r02)));
+if( IKabs(evalcond[0]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j5eval[0]=((IKabs(new_r10))+(IKabs(new_r00)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j5eval[0]=((IKabs(new_r11))+(IKabs(new_r01)));
+if( IKabs(j5eval[0]) < 0.0000010000000000 )
+{
+{
+IkReal j5eval[3];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+j5eval[0]=625000001.0;
+j5eval[1]=sj4;
+j5eval[2]=1.0;
+if( IKabs(j5eval[0]) < 0.0000010000000000 || IKabs(j5eval[1]) < 0.0000010000000000 || IKabs(j5eval[2]) < 0.0000010000000000 )
+{
+{
+IkReal evalcond[5];
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(j4))), 6.28318530717959)));
+evalcond[1]=new_r00;
+evalcond[2]=new_r10;
+evalcond[3]=new_r01;
+evalcond[4]=new_r11;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+sj4=0;
+cj4=1.0;
+j4=0;
+j5eval[0]=1.0;
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+op[0]=1.0;
+op[1]=0;
+op[2]=-1.0;
+polyroots2(op,zeror,numroots);
+IkReal j5array[2], cj5array[2], sj5array[2], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[2]={true,true};
+_nj5 = 2;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+evalcond[0]=((-3.14159265358979)+(IKfmod(((3.14159265358979)+(IKabs(((-3.14159265358979)+j4)))), 6.28318530717959)));
+evalcond[1]=new_r00;
+evalcond[2]=new_r10;
+evalcond[3]=new_r01;
+evalcond[4]=new_r11;
+if( IKabs(evalcond[0]) < 0.0000050000000000 && IKabs(evalcond[1]) < 0.0000050000000000 && IKabs(evalcond[2]) < 0.0000050000000000 && IKabs(evalcond[3]) < 0.0000050000000000 && IKabs(evalcond[4]) < 0.0000050000000000 )
+{
+bgotonextstatement=false;
+{
+IkReal j5eval[1];
+new_r02=0;
+new_r12=0;
+new_r20=0;
+new_r21=0;
+sj4=0;
+cj4=-1.0;
+j4=3.14159265358979;
+j5eval[0]=1.0;
+if( IKabs(j5eval[0]) < 0.0000000100000000 )
+{
+continue; // no branches [j5]
+
+} else
+{
+IkReal op[2+1], zeror[2];
+int numroots;
+op[0]=-1.0;
+op[1]=0;
+op[2]=1.0;
+polyroots2(op,zeror,numroots);
+IkReal j5array[2], cj5array[2], sj5array[2], tempj5array[1];
+int numsolutions = 0;
+for(int ij5 = 0; ij5 < numroots; ++ij5)
+{
+IkReal htj5 = zeror[ij5];
+tempj5array[0]=((2.0)*(atan(htj5)));
+for(int kj5 = 0; kj5 < 1; ++kj5)
+{
+j5array[numsolutions] = tempj5array[kj5];
+if( j5array[numsolutions] > IKPI )
+{
+ j5array[numsolutions]-=IK2PI;
+}
+else if( j5array[numsolutions] < -IKPI )
+{
+ j5array[numsolutions]+=IK2PI;
+}
+sj5array[numsolutions] = IKsin(j5array[numsolutions]);
+cj5array[numsolutions] = IKcos(j5array[numsolutions]);
+numsolutions++;
+}
+}
+bool j5valid[2]={true,true};
+_nj5 = 2;
+for(int ij5 = 0; ij5 < numsolutions; ++ij5)
+ {
+if( !j5valid[ij5] )
+{
+ continue;
+}
+ j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+htj5 = IKtan(j5/2);
+
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < numsolutions; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+ }
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2586 = IKatan2WithCheck(IkReal(((25000.00002)*new_r00*sj4)),IkReal(((-25000.00002)*new_r10*sj4)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2586.valid){
+continue;
+}
+IkReal x2585=x2586.value;
+j5array[0]=((-1.0)*x2585);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2585)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x2587=IKcos(j5);
+IkReal x2588=IKsin(j5);
+IkReal x2589=((3.9999999968e-5)*cj4);
+IkReal x2590=((0.9999999992)*sj4);
+IkReal x2591=((25000.00002)*sj4);
+IkReal x2592=(new_r01*x2587);
+IkReal x2593=(new_r11*x2588);
+IkReal x2594=(new_r00*x2587);
+IkReal x2595=(new_r10*x2588);
+evalcond[0]=(((new_r00*x2588))+((new_r10*x2587)));
+evalcond[1]=(((new_r11*x2587))+((new_r01*x2588)));
+evalcond[2]=(x2594+(((-1.0)*x2595)));
+evalcond[3]=(x2592+(((-1.0)*x2593)));
+evalcond[4]=((((-1.0)*x2587*x2589))+((x2587*x2590)));
+evalcond[5]=((((-1.0)*x2588*x2590))+((x2588*x2589)));
+evalcond[6]=(((x2591*x2592))+(((-1.0)*x2591*x2593)));
+evalcond[7]=((((-1.0)*x2590*x2594))+(((-1.0)*x2589*x2595))+((x2589*x2594))+((x2590*x2595)));
+evalcond[8]=((((-1.0)*x2590*x2592))+(((-1.0)*x2589*x2593))+((x2589*x2592))+((x2590*x2593)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2597 = IKatan2WithCheck(IkReal(new_r11),IkReal(new_r01),IKFAST_ATAN2_MAGTHRESH);
+if(!x2597.valid){
+continue;
+}
+IkReal x2596=x2597.value;
+j5array[0]=((-1.0)*x2596);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2596)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x2598=IKcos(j5);
+IkReal x2599=IKsin(j5);
+IkReal x2600=((3.9999999968e-5)*cj4);
+IkReal x2601=((25000.00002)*sj4);
+IkReal x2602=((0.9999999992)*sj4);
+IkReal x2603=(new_r01*x2598);
+IkReal x2604=(new_r11*x2599);
+IkReal x2605=(sj4*x2598);
+IkReal x2606=(new_r00*x2598);
+IkReal x2607=(new_r10*x2599);
+evalcond[0]=(((new_r10*x2598))+((new_r00*x2599)));
+evalcond[1]=((((-1.0)*x2607))+x2606);
+evalcond[2]=((((-1.0)*x2604))+x2603);
+evalcond[3]=(((x2598*x2602))+(((-1.0)*x2598*x2600)));
+evalcond[4]=(((x2599*x2600))+(((-1.0)*x2599*x2602)));
+evalcond[5]=((((-1.0)*x2601*x2607))+((x2601*x2606)));
+evalcond[6]=((((-1.0)*x2601*x2604))+((x2601*x2603)));
+evalcond[7]=(((x2602*x2607))+(((-1.0)*x2600*x2607))+((x2600*x2606))+(((-1.0)*x2602*x2606)));
+evalcond[8]=(((x2602*x2604))+(((-1.0)*x2600*x2604))+((x2600*x2603))+(((-1.0)*x2602*x2603)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[2], cj5array[2], sj5array[2];
+bool j5valid[2]={false};
+_nj5 = 2;
+CheckValue<IkReal> x2609 = IKatan2WithCheck(IkReal(new_r10),IkReal(new_r00),IKFAST_ATAN2_MAGTHRESH);
+if(!x2609.valid){
+continue;
+}
+IkReal x2608=x2609.value;
+j5array[0]=((-1.0)*x2608);
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+j5array[1]=((3.14159265358979)+(((-1.0)*x2608)));
+sj5array[1]=IKsin(j5array[1]);
+cj5array[1]=IKcos(j5array[1]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+if( j5array[1] > IKPI )
+{
+ j5array[1]-=IK2PI;
+}
+else if( j5array[1] < -IKPI )
+{ j5array[1]+=IK2PI;
+}
+j5valid[1] = true;
+for(int ij5 = 0; ij5 < 2; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 2; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[9];
+IkReal x2610=IKcos(j5);
+IkReal x2611=IKsin(j5);
+IkReal x2612=((3.9999999968e-5)*cj4);
+IkReal x2613=((25000.00002)*sj4);
+IkReal x2614=((0.9999999992)*sj4);
+IkReal x2615=(new_r01*x2610);
+IkReal x2616=(new_r11*x2611);
+IkReal x2617=(sj4*x2610);
+IkReal x2618=(new_r00*x2610);
+IkReal x2619=(new_r10*x2611);
+evalcond[0]=(((new_r11*x2610))+((new_r01*x2611)));
+evalcond[1]=((((-1.0)*x2619))+x2618);
+evalcond[2]=((((-1.0)*x2616))+x2615);
+evalcond[3]=((((-1.0)*x2610*x2612))+((x2610*x2614)));
+evalcond[4]=((((-1.0)*x2611*x2614))+((x2611*x2612)));
+evalcond[5]=(((x2613*x2618))+(((-1.0)*x2613*x2619)));
+evalcond[6]=(((x2613*x2615))+(((-1.0)*x2613*x2616)));
+evalcond[7]=((((-1.0)*x2612*x2619))+((x2614*x2619))+((x2612*x2618))+(((-1.0)*x2614*x2618)));
+evalcond[8]=((((-1.0)*x2612*x2616))+((x2614*x2616))+((x2612*x2615))+(((-1.0)*x2614*x2615)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+bool bgotonextstatement = true;
+do
+{
+if( 1 )
+{
+bgotonextstatement=false;
+continue; // branch miss [j5]
+
+}
+} while(0);
+if( bgotonextstatement )
+{
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2620 = IKatan2WithCheck(IkReal(new_r12),IkReal(((-1.0)*new_r02)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2620.valid){
+continue;
+}
+CheckValue<IkReal> x2621=IKPowWithIntegerCheck(IKsign(((((-3.9999999968e-5)*cj4))+(((0.9999999992)*sj4)))),-1);
+if(!x2621.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2620.value)+(((1.5707963267949)*(x2621.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2622=IKcos(j5);
+IkReal x2623=IKsin(j5);
+IkReal x2624=((1.0)*cj3);
+IkReal x2625=((0.9999999992)*cj4);
+IkReal x2626=((0.9999999992)*sj4);
+IkReal x2627=((3.9999999968e-5)*cj4);
+IkReal x2628=((3.9999999968e-5)*sj4);
+IkReal x2629=(new_r12*x2623);
+IkReal x2630=(new_r02*x2622);
+IkReal x2631=(new_r01*x2622);
+IkReal x2632=(new_r11*x2623);
+IkReal x2633=(sj3*x2623);
+IkReal x2634=(sj3*x2622);
+IkReal x2635=(new_r00*x2622);
+IkReal x2636=(cj3*x2622);
+IkReal x2637=(cj3*x2623);
+IkReal x2638=(new_r10*x2623);
+evalcond[0]=(((new_r12*x2622))+((new_r02*x2623)));
+evalcond[1]=(sj3+((new_r10*x2622))+((new_r00*x2623)));
+evalcond[2]=(((new_r11*x2622))+(((-1.0)*x2624))+((new_r01*x2623)));
+evalcond[3]=((((-1.0)*x2622*x2627))+((x2622*x2626))+new_r02);
+evalcond[4]=((((-1.0)*x2623*x2626))+((x2623*x2627))+new_r12);
+evalcond[5]=((((-1.0)*x2629))+(((-1.0)*x2627))+x2630+x2626);
+evalcond[6]=((((-1.0)*x2638))+(((-1.0)*cj3*x2628))+(((-1.0)*cj3*x2625))+x2635);
+evalcond[7]=((((-1.0)*sj3*x2628))+(((-1.0)*sj3*x2625))+(((-1.0)*x2632))+x2631);
+evalcond[8]=((((-1.0)*x2628*x2636))+new_r00+(((-1.0)*x2625*x2636))+x2633);
+evalcond[9]=(((x2625*x2637))+((x2628*x2637))+new_r10+x2634);
+evalcond[10]=((((-1.0)*x2623*x2624))+(((-1.0)*x2628*x2634))+new_r01+(((-1.0)*x2625*x2634)));
+evalcond[11]=((((-1.0)*x2622*x2624))+((x2625*x2633))+((x2628*x2633))+new_r11);
+evalcond[12]=(((new_r20*x2625))+((new_r20*x2628))+((x2627*x2635))+(((-1.0)*x2626*x2635))+((x2626*x2638))+(((-1.0)*x2627*x2638)));
+evalcond[13]=(((new_r21*x2625))+((new_r21*x2628))+((x2627*x2631))+(((-1.0)*x2626*x2631))+((x2626*x2632))+(((-1.0)*x2627*x2632)));
+evalcond[14]=((((-1.0)*x2625*x2629))+((x2625*x2630))+((new_r22*x2626))+(((-1.0)*new_r22*x2627))+((x2628*x2630))+(((-1.0)*x2628*x2629)));
+evalcond[15]=((-1.0)+((x2626*x2629))+(((-1.0)*x2627*x2629))+((new_r22*x2628))+((new_r22*x2625))+((x2627*x2630))+(((-1.0)*x2626*x2630)));
+evalcond[16]=(((new_r20*x2626))+(((-1.0)*x2628*x2638))+((x2625*x2635))+((x2628*x2635))+(((-1.0)*new_r20*x2627))+(((-1.0)*x2624))+(((-1.0)*x2625*x2638)));
+evalcond[17]=((((-1.0)*sj3))+((new_r21*x2626))+(((-1.0)*x2628*x2632))+((x2625*x2631))+((x2628*x2631))+(((-1.0)*new_r21*x2627))+(((-1.0)*x2625*x2632)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2639=IKPowWithIntegerCheck(IKsign((((new_r01*new_r12))+(((-1.0)*new_r02*new_r11)))),-1);
+if(!x2639.valid){
+continue;
+}
+CheckValue<IkReal> x2640 = IKatan2WithCheck(IkReal((cj3*new_r12)),IkReal(((-1.0)*cj3*new_r02)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2640.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(((1.5707963267949)*(x2639.value)))+(x2640.value));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2641=IKcos(j5);
+IkReal x2642=IKsin(j5);
+IkReal x2643=((1.0)*cj3);
+IkReal x2644=((0.9999999992)*cj4);
+IkReal x2645=((0.9999999992)*sj4);
+IkReal x2646=((3.9999999968e-5)*cj4);
+IkReal x2647=((3.9999999968e-5)*sj4);
+IkReal x2648=(new_r12*x2642);
+IkReal x2649=(new_r02*x2641);
+IkReal x2650=(new_r01*x2641);
+IkReal x2651=(new_r11*x2642);
+IkReal x2652=(sj3*x2642);
+IkReal x2653=(sj3*x2641);
+IkReal x2654=(new_r00*x2641);
+IkReal x2655=(cj3*x2641);
+IkReal x2656=(cj3*x2642);
+IkReal x2657=(new_r10*x2642);
+evalcond[0]=(((new_r02*x2642))+((new_r12*x2641)));
+evalcond[1]=(sj3+((new_r10*x2641))+((new_r00*x2642)));
+evalcond[2]=(((new_r11*x2641))+((new_r01*x2642))+(((-1.0)*x2643)));
+evalcond[3]=((((-1.0)*x2641*x2646))+new_r02+((x2641*x2645)));
+evalcond[4]=((((-1.0)*x2642*x2645))+new_r12+((x2642*x2646)));
+evalcond[5]=((((-1.0)*x2646))+(((-1.0)*x2648))+x2649+x2645);
+evalcond[6]=((((-1.0)*cj3*x2644))+(((-1.0)*cj3*x2647))+(((-1.0)*x2657))+x2654);
+evalcond[7]=((((-1.0)*sj3*x2647))+(((-1.0)*sj3*x2644))+(((-1.0)*x2651))+x2650);
+evalcond[8]=((((-1.0)*x2644*x2655))+(((-1.0)*x2647*x2655))+new_r00+x2652);
+evalcond[9]=(((x2644*x2656))+new_r10+((x2647*x2656))+x2653);
+evalcond[10]=((((-1.0)*x2644*x2653))+(((-1.0)*x2647*x2653))+(((-1.0)*x2642*x2643))+new_r01);
+evalcond[11]=(((x2644*x2652))+(((-1.0)*x2641*x2643))+new_r11+((x2647*x2652)));
+evalcond[12]=((((-1.0)*x2645*x2654))+(((-1.0)*x2646*x2657))+((new_r20*x2647))+((new_r20*x2644))+((x2645*x2657))+((x2646*x2654)));
+evalcond[13]=(((new_r21*x2644))+((new_r21*x2647))+(((-1.0)*x2645*x2650))+(((-1.0)*x2646*x2651))+((x2645*x2651))+((x2646*x2650)));
+evalcond[14]=((((-1.0)*x2644*x2648))+(((-1.0)*x2647*x2648))+(((-1.0)*new_r22*x2646))+((x2644*x2649))+((x2647*x2649))+((new_r22*x2645)));
+evalcond[15]=((-1.0)+(((-1.0)*x2646*x2648))+(((-1.0)*x2645*x2649))+((x2645*x2648))+((x2646*x2649))+((new_r22*x2647))+((new_r22*x2644)));
+evalcond[16]=((((-1.0)*x2644*x2657))+((new_r20*x2645))+(((-1.0)*x2647*x2657))+((x2644*x2654))+(((-1.0)*new_r20*x2646))+(((-1.0)*x2643))+((x2647*x2654)));
+evalcond[17]=((((-1.0)*sj3))+((new_r21*x2645))+(((-1.0)*x2644*x2651))+(((-1.0)*x2647*x2651))+(((-1.0)*new_r21*x2646))+((x2644*x2650))+((x2647*x2650)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2658 = IKatan2WithCheck(IkReal((new_r12*sj3)),IkReal(((-1.0)*new_r02*sj3)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2658.valid){
+continue;
+}
+CheckValue<IkReal> x2659=IKPowWithIntegerCheck(IKsign(((((-1.0)*new_r00*new_r12))+((new_r02*new_r10)))),-1);
+if(!x2659.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2658.value)+(((1.5707963267949)*(x2659.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[18];
+IkReal x2660=IKcos(j5);
+IkReal x2661=IKsin(j5);
+IkReal x2662=((1.0)*cj3);
+IkReal x2663=((0.9999999992)*cj4);
+IkReal x2664=((0.9999999992)*sj4);
+IkReal x2665=((3.9999999968e-5)*cj4);
+IkReal x2666=((3.9999999968e-5)*sj4);
+IkReal x2667=(new_r12*x2661);
+IkReal x2668=(new_r02*x2660);
+IkReal x2669=(new_r01*x2660);
+IkReal x2670=(new_r11*x2661);
+IkReal x2671=(sj3*x2661);
+IkReal x2672=(sj3*x2660);
+IkReal x2673=(new_r00*x2660);
+IkReal x2674=(cj3*x2660);
+IkReal x2675=(cj3*x2661);
+IkReal x2676=(new_r10*x2661);
+evalcond[0]=(((new_r02*x2661))+((new_r12*x2660)));
+evalcond[1]=(sj3+((new_r10*x2660))+((new_r00*x2661)));
+evalcond[2]=((((-1.0)*x2662))+((new_r11*x2660))+((new_r01*x2661)));
+evalcond[3]=((((-1.0)*x2660*x2665))+((x2660*x2664))+new_r02);
+evalcond[4]=(((x2661*x2665))+new_r12+(((-1.0)*x2661*x2664)));
+evalcond[5]=((((-1.0)*x2667))+(((-1.0)*x2665))+x2664+x2668);
+evalcond[6]=((((-1.0)*x2676))+(((-1.0)*cj3*x2663))+(((-1.0)*cj3*x2666))+x2673);
+evalcond[7]=((((-1.0)*x2670))+(((-1.0)*sj3*x2663))+(((-1.0)*sj3*x2666))+x2669);
+evalcond[8]=((((-1.0)*x2663*x2674))+(((-1.0)*x2666*x2674))+new_r00+x2671);
+evalcond[9]=(((x2663*x2675))+((x2666*x2675))+new_r10+x2672);
+evalcond[10]=((((-1.0)*x2663*x2672))+(((-1.0)*x2666*x2672))+new_r01+(((-1.0)*x2661*x2662)));
+evalcond[11]=((((-1.0)*x2660*x2662))+((x2663*x2671))+((x2666*x2671))+new_r11);
+evalcond[12]=(((new_r20*x2666))+((new_r20*x2663))+((x2664*x2676))+(((-1.0)*x2664*x2673))+(((-1.0)*x2665*x2676))+((x2665*x2673)));
+evalcond[13]=(((x2664*x2670))+(((-1.0)*x2665*x2670))+(((-1.0)*x2664*x2669))+((x2665*x2669))+((new_r21*x2666))+((new_r21*x2663)));
+evalcond[14]=(((x2663*x2668))+(((-1.0)*new_r22*x2665))+((x2666*x2668))+(((-1.0)*x2663*x2667))+((new_r22*x2664))+(((-1.0)*x2666*x2667)));
+evalcond[15]=((-1.0)+((x2664*x2667))+(((-1.0)*x2664*x2668))+(((-1.0)*x2665*x2667))+((new_r22*x2663))+((new_r22*x2666))+((x2665*x2668)));
+evalcond[16]=(((x2663*x2673))+(((-1.0)*new_r20*x2665))+((new_r20*x2664))+((x2666*x2673))+(((-1.0)*x2663*x2676))+(((-1.0)*x2662))+(((-1.0)*x2666*x2676)));
+evalcond[17]=((((-1.0)*sj3))+((x2663*x2669))+((x2666*x2669))+(((-1.0)*new_r21*x2665))+(((-1.0)*x2663*x2670))+(((-1.0)*x2666*x2670))+((new_r21*x2664)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[12]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[13]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[14]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[15]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[16]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[17]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+
+}
+
+}
+}
+}
+
+}
+
+}
+
+} else
+{
+{
+IkReal j5array[1], cj5array[1], sj5array[1];
+bool j5valid[1]={false};
+_nj5 = 1;
+CheckValue<IkReal> x2677 = IKatan2WithCheck(IkReal(new_r12),IkReal(((-1.0)*new_r02)),IKFAST_ATAN2_MAGTHRESH);
+if(!x2677.valid){
+continue;
+}
+CheckValue<IkReal> x2678=IKPowWithIntegerCheck(IKsign(((((-3.9999999968e-5)*cj4))+(((0.9999999992)*sj4)))),-1);
+if(!x2678.valid){
+continue;
+}
+j5array[0]=((-1.5707963267949)+(x2677.value)+(((1.5707963267949)*(x2678.value))));
+sj5array[0]=IKsin(j5array[0]);
+cj5array[0]=IKcos(j5array[0]);
+if( j5array[0] > IKPI )
+{
+ j5array[0]-=IK2PI;
+}
+else if( j5array[0] < -IKPI )
+{ j5array[0]+=IK2PI;
+}
+j5valid[0] = true;
+for(int ij5 = 0; ij5 < 1; ++ij5)
+{
+if( !j5valid[ij5] )
+{
+ continue;
+}
+_ij5[0] = ij5; _ij5[1] = -1;
+for(int iij5 = ij5+1; iij5 < 1; ++iij5)
+{
+if( j5valid[iij5] && IKabs(cj5array[ij5]-cj5array[iij5]) < IKFAST_SOLUTION_THRESH && IKabs(sj5array[ij5]-sj5array[iij5]) < IKFAST_SOLUTION_THRESH )
+{
+ j5valid[iij5]=false; _ij5[1] = iij5; break;
+}
+}
+j5 = j5array[ij5]; cj5 = cj5array[ij5]; sj5 = sj5array[ij5];
+{
+IkReal evalcond[8];
+IkReal x2679=IKcos(j5);
+IkReal x2680=IKsin(j5);
+IkReal x2681=((0.9999999992)*cj4);
+IkReal x2682=((3.9999999968e-5)*cj4);
+IkReal x2683=((0.9999999992)*sj4);
+IkReal x2684=((3.9999999968e-5)*sj4);
+IkReal x2685=(new_r12*x2680);
+IkReal x2686=(new_r02*x2679);
+IkReal x2687=(new_r01*x2679);
+IkReal x2688=(new_r11*x2680);
+IkReal x2689=(new_r00*x2679);
+IkReal x2690=(new_r10*x2680);
+evalcond[0]=(((new_r12*x2679))+((new_r02*x2680)));
+evalcond[1]=((((-1.0)*x2679*x2682))+((x2679*x2683))+new_r02);
+evalcond[2]=((((-1.0)*x2680*x2683))+new_r12+((x2680*x2682)));
+evalcond[3]=((((-1.0)*x2682))+(((-1.0)*x2685))+x2686+x2683);
+evalcond[4]=((((-1.0)*x2683*x2689))+(((-1.0)*x2682*x2690))+((new_r20*x2681))+((new_r20*x2684))+((x2683*x2690))+((x2682*x2689)));
+evalcond[5]=((((-1.0)*x2683*x2687))+((x2683*x2688))+(((-1.0)*x2682*x2688))+((x2682*x2687))+((new_r21*x2684))+((new_r21*x2681)));
+evalcond[6]=(((new_r22*x2683))+(((-1.0)*x2684*x2685))+(((-1.0)*new_r22*x2682))+((x2684*x2686))+(((-1.0)*x2681*x2685))+((x2681*x2686)));
+evalcond[7]=((-1.0)+((new_r22*x2681))+((new_r22*x2684))+(((-1.0)*x2683*x2686))+((x2683*x2685))+(((-1.0)*x2682*x2685))+((x2682*x2686)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+IkReal j3array[1], cj3array[1], sj3array[1];
+bool j3valid[1]={false};
+_nj3 = 1;
+if( IKabs(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10)))) < IKFAST_ATAN2_MAGTHRESH && IKabs((((cj5*new_r11))+((new_r01*sj5)))) < IKFAST_ATAN2_MAGTHRESH && IKabs(IKsqr(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))))+IKsqr((((cj5*new_r11))+((new_r01*sj5))))-1) <= IKFAST_SINCOS_THRESH )
+ continue;
+j3array[0]=IKatan2(((((-1.0)*new_r00*sj5))+(((-1.0)*cj5*new_r10))), (((cj5*new_r11))+((new_r01*sj5))));
+sj3array[0]=IKsin(j3array[0]);
+cj3array[0]=IKcos(j3array[0]);
+if( j3array[0] > IKPI )
+{
+ j3array[0]-=IK2PI;
+}
+else if( j3array[0] < -IKPI )
+{ j3array[0]+=IK2PI;
+}
+j3valid[0] = true;
+for(int ij3 = 0; ij3 < 1; ++ij3)
+{
+if( !j3valid[ij3] )
+{
+ continue;
+}
+_ij3[0] = ij3; _ij3[1] = -1;
+for(int iij3 = ij3+1; iij3 < 1; ++iij3)
+{
+if( j3valid[iij3] && IKabs(cj3array[ij3]-cj3array[iij3]) < IKFAST_SOLUTION_THRESH && IKabs(sj3array[ij3]-sj3array[iij3]) < IKFAST_SOLUTION_THRESH )
+{
+ j3valid[iij3]=false; _ij3[1] = iij3; break;
+}
+}
+j3 = j3array[ij3]; cj3 = cj3array[ij3]; sj3 = sj3array[ij3];
+{
+IkReal evalcond[12];
+IkReal x2691=IKcos(j3);
+IkReal x2692=IKsin(j3);
+IkReal x2693=((0.9999999992)*cj4);
+IkReal x2694=((3.9999999968e-5)*cj4);
+IkReal x2695=(cj5*new_r01);
+IkReal x2696=((0.9999999992)*sj4);
+IkReal x2697=(cj5*new_r00);
+IkReal x2698=((3.9999999968e-5)*sj4);
+IkReal x2699=(new_r10*sj5);
+IkReal x2700=(new_r11*sj5);
+IkReal x2701=((1.0)*x2691);
+IkReal x2702=(cj5*x2692);
+IkReal x2703=(sj5*x2691);
+IkReal x2704=(sj5*x2692);
+IkReal x2705=(cj5*x2691);
+IkReal x2706=(x2691*x2698);
+evalcond[0]=(((cj5*new_r10))+((new_r00*sj5))+x2692);
+evalcond[1]=(((cj5*new_r11))+((new_r01*sj5))+(((-1.0)*x2701)));
+evalcond[2]=(((x2691*x2694))+(((-1.0)*x2691*x2696))+new_r20);
+evalcond[3]=((((-1.0)*x2692*x2696))+new_r21+((x2692*x2694)));
+evalcond[4]=((((-1.0)*x2691*x2693))+(((-1.0)*x2706))+(((-1.0)*x2699))+x2697);
+evalcond[5]=((((-1.0)*x2692*x2693))+(((-1.0)*x2692*x2698))+(((-1.0)*x2700))+x2695);
+evalcond[6]=(x2704+new_r00+(((-1.0)*x2693*x2705))+(((-1.0)*x2698*x2705)));
+evalcond[7]=(x2702+((x2693*x2703))+((x2698*x2703))+new_r10);
+evalcond[8]=((((-1.0)*sj5*x2701))+new_r01+(((-1.0)*x2693*x2702))+(((-1.0)*x2698*x2702)));
+evalcond[9]=((((-1.0)*cj5*x2701))+((x2693*x2704))+((x2698*x2704))+new_r11);
+evalcond[10]=(((x2697*x2698))+(((-1.0)*new_r20*x2694))+((x2693*x2697))+(((-1.0)*x2698*x2699))+(((-1.0)*x2701))+((new_r20*x2696))+(((-1.0)*x2693*x2699)));
+evalcond[11]=(((x2693*x2695))+((x2695*x2698))+(((-1.0)*x2692))+((new_r21*x2696))+(((-1.0)*new_r21*x2694))+(((-1.0)*x2693*x2700))+(((-1.0)*x2698*x2700)));
+if( IKabs(evalcond[0]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[1]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[2]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[3]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[4]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[5]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[6]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[7]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[8]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[9]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[10]) > IKFAST_EVALCOND_THRESH || IKabs(evalcond[11]) > IKFAST_EVALCOND_THRESH )
+{
+continue;
+}
+}
+
+{
+std::vector<IkSingleDOFSolutionBase<IkReal> > vinfos(6);
+vinfos[0].jointtype = 1;
+vinfos[0].foffset = j0;
+vinfos[0].indices[0] = _ij0[0];
+vinfos[0].indices[1] = _ij0[1];
+vinfos[0].maxsolutions = _nj0;
+vinfos[1].jointtype = 1;
+vinfos[1].foffset = j1;
+vinfos[1].indices[0] = _ij1[0];
+vinfos[1].indices[1] = _ij1[1];
+vinfos[1].maxsolutions = _nj1;
+vinfos[2].jointtype = 1;
+vinfos[2].foffset = j2;
+vinfos[2].indices[0] = _ij2[0];
+vinfos[2].indices[1] = _ij2[1];
+vinfos[2].maxsolutions = _nj2;
+vinfos[3].jointtype = 1;
+vinfos[3].foffset = j3;
+vinfos[3].indices[0] = _ij3[0];
+vinfos[3].indices[1] = _ij3[1];
+vinfos[3].maxsolutions = _nj3;
+vinfos[4].jointtype = 1;
+vinfos[4].foffset = j4;
+vinfos[4].indices[0] = _ij4[0];
+vinfos[4].indices[1] = _ij4[1];
+vinfos[4].maxsolutions = _nj4;
+vinfos[5].jointtype = 1;
+vinfos[5].foffset = j5;
+vinfos[5].indices[0] = _ij5[0];
+vinfos[5].indices[1] = _ij5[1];
+vinfos[5].maxsolutions = _nj5;
+std::vector<int> vfree(0);
+solutions.AddSolution(vinfos,vfree);
+}
+}
+}
+}
+}
+
+}
+
+}
+}
+}
+}
+}static inline void polyroots3(IkReal rawcoeffs[3+1], IkReal rawroots[3], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots2(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[3];
+ const int maxsteps = 110;
+ for(int i = 0; i < 3; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[3];
+ IkReal err[3];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 3; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 3; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 3; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 3; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[3] = {false};
+ for(int i = 0; i < 3; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 3; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+static inline void polyroots2(IkReal rawcoeffs[2+1], IkReal rawroots[2], int& numroots) {
+ IkReal det = rawcoeffs[1]*rawcoeffs[1]-4*rawcoeffs[0]*rawcoeffs[2];
+ if( det < 0 ) {
+ numroots=0;
+ }
+ else if( det == 0 ) {
+ rawroots[0] = -0.5*rawcoeffs[1]/rawcoeffs[0];
+ numroots = 1;
+ }
+ else {
+ det = IKsqrt(det);
+ rawroots[0] = (-rawcoeffs[1]+det)/(2*rawcoeffs[0]);
+ rawroots[1] = (-rawcoeffs[1]-det)/(2*rawcoeffs[0]);//rawcoeffs[2]/(rawcoeffs[0]*rawroots[0]);
+ numroots = 2;
+ }
+}
+static inline void polyroots4(IkReal rawcoeffs[4+1], IkReal rawroots[4], int& numroots)
+{
+ using std::complex;
+ if( rawcoeffs[0] == 0 ) {
+ // solve with one reduced degree
+ polyroots3(&rawcoeffs[1], &rawroots[0], numroots);
+ return;
+ }
+ IKFAST_ASSERT(rawcoeffs[0] != 0);
+ const IkReal tol = 128.0*std::numeric_limits<IkReal>::epsilon();
+ const IkReal tolsqrt = sqrt(std::numeric_limits<IkReal>::epsilon());
+ complex<IkReal> coeffs[4];
+ const int maxsteps = 110;
+ for(int i = 0; i < 4; ++i) {
+ coeffs[i] = complex<IkReal>(rawcoeffs[i+1]/rawcoeffs[0]);
+ }
+ complex<IkReal> roots[4];
+ IkReal err[4];
+ roots[0] = complex<IkReal>(1,0);
+ roots[1] = complex<IkReal>(0.4,0.9); // any complex number not a root of unity works
+ err[0] = 1.0;
+ err[1] = 1.0;
+ for(int i = 2; i < 4; ++i) {
+ roots[i] = roots[i-1]*roots[1];
+ err[i] = 1.0;
+ }
+ for(int step = 0; step < maxsteps; ++step) {
+ bool changed = false;
+ for(int i = 0; i < 4; ++i) {
+ if ( err[i] >= tol ) {
+ changed = true;
+ // evaluate
+ complex<IkReal> x = roots[i] + coeffs[0];
+ for(int j = 1; j < 4; ++j) {
+ x = roots[i] * x + coeffs[j];
+ }
+ for(int j = 0; j < 4; ++j) {
+ if( i != j ) {
+ if( roots[i] != roots[j] ) {
+ x /= (roots[i] - roots[j]);
+ }
+ }
+ }
+ roots[i] -= x;
+ err[i] = abs(x);
+ }
+ }
+ if( !changed ) {
+ break;
+ }
+ }
+
+ numroots = 0;
+ bool visited[4] = {false};
+ for(int i = 0; i < 4; ++i) {
+ if( !visited[i] ) {
+ // might be a multiple root, in which case it will have more error than the other roots
+ // find any neighboring roots, and take the average
+ complex<IkReal> newroot=roots[i];
+ int n = 1;
+ for(int j = i+1; j < 4; ++j) {
+ // care about error in real much more than imaginary
+ if( abs(real(roots[i])-real(roots[j])) < tolsqrt && abs(imag(roots[i])-imag(roots[j])) < 0.002 ) {
+ newroot += roots[j];
+ n += 1;
+ visited[j] = true;
+ }
+ }
+ if( n > 1 ) {
+ newroot /= n;
+ }
+ // there are still cases where even the mean is not accurate enough, until a better multi-root algorithm is used, need to use the sqrt
+ if( IKabs(imag(newroot)) < tolsqrt ) {
+ rawroots[numroots++] = real(newroot);
+ }
+ }
+ }
+}
+};
+
+
+/// solves the inverse kinematics equations.
+/// \param pfree is an array specifying the free joints of the chain.
+IKFAST_API bool ComputeIk(const IkReal* eetrans, const IkReal* eerot, const IkReal* pfree, IkSolutionListBase<IkReal>& solutions) {
+IKSolver solver;
+return solver.ComputeIk(eetrans,eerot,pfree,solutions);
+}
+
+IKFAST_API bool ComputeIk2(const IkReal* eetrans, const IkReal* eerot, const IkReal* pfree, IkSolutionListBase<IkReal>& solutions, void* pOpenRAVEManip) {
+IKSolver solver;
+return solver.ComputeIk(eetrans,eerot,pfree,solutions);
+}
+
+IKFAST_API const char* GetKinematicsHash() { return "<robot:GenericRobot - irb4600 (cf95c00c17c4b2b3fc4659a63b598d9c)>"; }
+
+IKFAST_API const char* GetIkFastVersion() { return "0x1000004a"; }
+
+#ifdef IKFAST_NAMESPACE
+} // end namespace
+#endif
+
+#ifndef IKFAST_NO_MAIN
+#include <stdio.h>
+#include <stdlib.h>
+#ifdef IKFAST_NAMESPACE
+using namespace IKFAST_NAMESPACE;
+#endif
+int main(int argc, char** argv)
+{
+ if( argc != 12+GetNumFreeParameters()+1 ) {
+ printf("\nUsage: ./ik r00 r01 r02 t0 r10 r11 r12 t1 r20 r21 r22 t2 free0 ...\n\n"
+ "Returns the ik solutions given the transformation of the end effector specified by\n"
+ "a 3x3 rotation R (rXX), and a 3x1 translation (tX).\n"
+ "There are %d free parameters that have to be specified.\n\n",GetNumFreeParameters());
+ return 1;
+ }
+
+ IkSolutionList<IkReal> solutions;
+ std::vector<IkReal> vfree(GetNumFreeParameters());
+ IkReal eerot[9],eetrans[3];
+ eerot[0] = atof(argv[1]); eerot[1] = atof(argv[2]); eerot[2] = atof(argv[3]); eetrans[0] = atof(argv[4]);
+ eerot[3] = atof(argv[5]); eerot[4] = atof(argv[6]); eerot[5] = atof(argv[7]); eetrans[1] = atof(argv[8]);
+ eerot[6] = atof(argv[9]); eerot[7] = atof(argv[10]); eerot[8] = atof(argv[11]); eetrans[2] = atof(argv[12]);
+ for(std::size_t i = 0; i < vfree.size(); ++i)
+ vfree[i] = atof(argv[13+i]);
+ bool bSuccess = ComputeIk(eetrans, eerot, vfree.size() > 0 ? &vfree[0] : NULL, solutions);
+
+ if( !bSuccess ) {
+ fprintf(stderr,"Failed to get ik solution\n");
+ return -1;
+ }
+
+ printf("Found %d ik solutions:\n", (int)solutions.GetNumSolutions());
+ std::vector<IkReal> solvalues(GetNumJoints());
+ for(std::size_t i = 0; i < solutions.GetNumSolutions(); ++i) {
+ const IkSolutionBase<IkReal>& sol = solutions.GetSolution(i);
+ printf("sol%d (free=%d): ", (int)i, (int)sol.GetFree().size());
+ std::vector<IkReal> vsolfree(sol.GetFree().size());
+ sol.GetSolution(&solvalues[0],vsolfree.size()>0?&vsolfree[0]:NULL);
+ for( std::size_t j = 0; j < solvalues.size(); ++j)
+ printf("%.15f, ", solvalues[j]);
+ printf("\n");
+ }
+ return 0;
+}
+
+#endif
diff --git a/ct_models/src/Quadrotor/A_quadrotor.cpp b/ct_models/src/Quadrotor/A_quadrotor.cpp
new file mode 100644
index 0000000..8c54027
--- /dev/null
+++ b/ct_models/src/Quadrotor/A_quadrotor.cpp
@@ -0,0 +1,99 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#include <ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp>
+
+namespace ct {
+namespace models {
+
+using namespace quadrotor;
+
+quadrotor::state_matrix_t A_quadrotor(const quadrotor::state_vector_t &x, const quadrotor::control_vector_t &u)
+{
+ double qxQ = x(0);
+ double qyQ = x(1);
+ double qzQ = x(2);
+ double qph = x(3);
+ double qth = x(4);
+ double qps = x(5);
+ double dqxQ = x(6);
+ double dqyQ = x(7);
+ double dqzQ = x(8);
+ double dqph = x(9);
+ double dqth = x(10);
+ double dqps = x(11);
+
+ double Fz = u(0);
+ double Mx = u(1);
+ double My = u(2);
+ //double Mz = u(3);
+
+ double t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14, t15, t16, t17, t18, t19, t20, t26, t21, t22, t27,
+ t23, t24, t25;
+
+ t2 = 1.0 / mQ;
+ t3 = cos(qth);
+ t4 = sin(qph);
+ t5 = cos(qph);
+ t6 = sin(qth);
+ t7 = 1.0 / Thxxyy;
+ t8 = cos(qps);
+ t9 = sin(qps);
+ t10 = 1.0 / t3;
+ t11 = Thxxyy * 2.0;
+ t12 = Thzz - t11;
+ t13 = qth * 2.0;
+ t14 = cos(t13);
+ t15 = My * t9;
+ t16 = sin(t13);
+ t17 = 1.0 / (t3 * t3);
+ t18 = qth * 3.0;
+ t19 = sin(t18);
+ t20 = My * t8;
+ t21 = Mx * t9;
+ t22 = t20 + t21;
+ t23 = t3 * t3;
+ t24 = t6 * t6;
+ t25 = Thzz * dqps * t6;
+
+ quadrotor::state_matrix_t A;
+ A.setZero();
+
+ A(0, 6) = 1.0;
+ A(1, 7) = 1.0;
+ A(2, 8) = 1.0;
+ A(3, 9) = 1.0;
+ A(4, 10) = 1.0;
+ A(5, 11) = 1.0;
+ A(6, 4) = Fz * t2 * t3;
+ A(7, 3) = -Fz * t2 * t3 * t5;
+ A(7, 4) = Fz * t2 * t4 * t6;
+ A(8, 3) = -Fz * t2 * t3 * t4;
+ A(8, 4) = -Fz * t2 * t5 * t6;
+ A(9, 4) = -t6 * t7 * t17 *
+ (t15 - Mx * t8 + Thzz * dqps * dqth - Thxxyy * dqph * dqth * t6 * 2.0 + Thzz * dqph * dqth * t6) -
+ dqph * dqth * t7 * t12;
+ A(9, 5) = -t7 * t10 * t22;
+ A(9, 9) = -dqth * t6 * t7 * t10 * t12;
+ A(9, 10) = -t7 * t10 * (Thzz * dqps - Thxxyy * dqph * t6 * 2.0 + Thzz * dqph * t6);
+ A(9, 11) = -Thzz * dqth * t7 * t10;
+ A(10, 4) = -dqph * t7 * (t25 + Thxxyy * dqph * t14 - Thzz * dqph * t14);
+ A(10, 5) = -t7 * (t15 - Mx * t8);
+ A(10, 9) = t7 * (-Thxxyy * dqph * t16 + Thzz * dqps * t3 + Thzz * dqph * t16);
+ A(10, 11) = Thzz * dqph * t3 * t7;
+ A(11, 4) = t7 * t17 * (Mx * t8 * -4.0 + My * t9 * 4.0 + Thzz * dqps * dqth * 4.0 - Thxxyy * dqph * dqth * t6 * 9.0 -
+ Thxxyy * dqph * dqth * t19 + Thzz * dqph * dqth * t6 * 5.0 + Thzz * dqph * dqth * t19) *
+ (1.0 / 4.0);
+ A(11, 5) = t6 * t7 * t10 * t22;
+ A(11, 9) = dqth * t7 * t10 * (Thzz - t11 + Thxxyy * t23 - Thzz * t23);
+ A(11, 10) = t7 * t10 * (t25 - Thxxyy * dqph - Thxxyy * dqph * t24 + Thzz * dqph * t24);
+ A(11, 11) = Thzz * dqth * t6 * t7 * t10;
+
+ return A;
+}
+}
+}
diff --git a/ct_models/src/Quadrotor/B_quadrotor.cpp b/ct_models/src/Quadrotor/B_quadrotor.cpp
new file mode 100644
index 0000000..194fc67
--- /dev/null
+++ b/ct_models/src/Quadrotor/B_quadrotor.cpp
@@ -0,0 +1,73 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#include <ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp>
+
+namespace ct {
+namespace models {
+
+using namespace quadrotor;
+
+
+quadrotor::control_gain_matrix_t B_quadrotor(const quadrotor::state_vector_t &x, const quadrotor::control_vector_t &u)
+{
+ // double qxQ = x(0);
+ // double qyQ = x(1);
+ // double qzQ = x(2);
+ double qph = x(3);
+ double qth = x(4);
+ double qps = x(5);
+ // double dqxQ = x(6);
+ // double dqyQ = x(7);
+ // double dqzQ = x(8);
+ // double dqph = x(9);
+ // double dqth = x(10);
+ // double dqps = x(11);
+
+ // double u1 = u(0);
+ // double u2 = u(1);
+ // double u3 = u(2);
+ // double u4 = u(3);
+ //
+ // double kF1 = kFs(0);
+ // double kF2 = kFs(1);
+ // double kF3 = kFs(2);
+ // double kF4 = kFs(3);
+ //
+ // double kM1 = kMs(0);
+ // double kM2 = kMs(1);
+ // double kM3 = kMs(2);
+ // double kM4 = kMs(3);
+
+ double t2, t3, t4, t5, t6, t7, t8; // t9, t10, t11;
+
+ t2 = 1.0 / mQ;
+ t3 = cos(qth);
+ t4 = 1.0 / Thxxyy;
+ t5 = 1.0 / t3;
+ t6 = sin(qps);
+ t7 = cos(qps);
+ t8 = sin(qth);
+
+ quadrotor::control_gain_matrix_t B;
+ B.setZero();
+
+ B(6, 0) = t2 * t8;
+ B(7, 0) = -t2 * t3 * sin(qph);
+ B(8, 0) = t2 * t3 * cos(qph);
+ B(9, 1) = t4 * t5 * t7;
+ B(9, 2) = -t4 * t5 * t6;
+ B(10, 1) = t4 * t6;
+ B(10, 2) = t4 * t7;
+ B(11, 1) = -t4 * t5 * t7 * t8;
+ B(11, 2) = t4 * t5 * t6 * t8;
+ B(11, 3) = 1.0 / Thzz;
+
+ return B;
+}
+}
+}
diff --git a/ct_models/src/Quadrotor/C_quadrotor.cpp b/ct_models/src/Quadrotor/C_quadrotor.cpp
new file mode 100644
index 0000000..f2155d8
--- /dev/null
+++ b/ct_models/src/Quadrotor/C_quadrotor.cpp
@@ -0,0 +1,56 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp>
+
+namespace ct {
+namespace models {
+
+using namespace quadrotor;
+
+quadrotor::control_gain_matrix_t C_quadrotor(const quadrotor::state_vector_t &x, const quadrotor::control_vector_t &u)
+{
+ // double qxQ = x(0);
+ // double qyQ = x(1);
+ // double qzQ = x(2);
+ double qph = x(3);
+ double qth = x(4);
+ double qps = x(5);
+ // double dqxQ = x(6);
+ // double dqyQ = x(7);
+ // double dqzQ = x(8);
+ // double dqph = x(9);
+ // double dqth = x(10);
+ // double dqps = x(11);
+
+ double t2, t3, t4, t5, t6, t7, t8; // t9, t10, t11;
+
+ t2 = 1.0 / mQ;
+ t3 = cos(qth);
+ t4 = 1.0 / Thxxyy;
+ t5 = 1.0 / t3;
+ t6 = sin(qps);
+ t7 = cos(qps);
+ t8 = sin(qth);
+
+ quadrotor::control_gain_matrix_t C;
+ C.setZero();
+
+ C(6, 0) = t2 * t8 * (1.0 / 2.0E1);
+ C(7, 0) = t2 * t3 * sin(qph) * (-1.0 / 2.0E1);
+ C(8, 0) = t2 * t3 * cos(qph) * (1.0 / 2.0E1);
+ C(9, 1) = t4 * t5 * t7 * (1.0 / 2.0E1);
+ C(9, 2) = t4 * t5 * t6 * (-1.0 / 2.0E1);
+ C(10, 1) = t4 * t6 * (1.0 / 2.0E1);
+ C(10, 2) = t4 * t7 * (1.0 / 2.0E1);
+ C(11, 1) = t4 * t5 * t7 * t8 * (-1.0 / 2.0E1);
+ C(11, 2) = t4 * t5 * t6 * t8 * (1.0 / 2.0E1);
+ C(11, 3) = (1.0 / 2.0E1) / Thzz;
+
+ return C;
+}
+}
+}
diff --git a/ct_models/src/Quadrotor/quadrotor_ode.cpp b/ct_models/src/Quadrotor/quadrotor_ode.cpp
new file mode 100644
index 0000000..d4d3bd4
--- /dev/null
+++ b/ct_models/src/Quadrotor/quadrotor_ode.cpp
@@ -0,0 +1,94 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+
+#include <ct/models/Quadrotor/quadrotor_dynamics/QuadrotorDynamics.hpp>
+
+#include <iostream>
+
+using namespace std;
+
+namespace ct {
+namespace models {
+
+using namespace quadrotor;
+
+quadrotor::state_vector_t quadrotor_ode(const quadrotor::state_vector_t& x, const quadrotor::control_vector_t& u)
+{
+ assert(x == x);
+ assert(u == u);
+
+ // positions
+ double qxQ = x(0); // x
+ double qyQ = x(1); // y
+ double qzQ = x(2); // z
+
+ // euler angles xyz
+ double qph = x(3);
+ double qth = x(4);
+ double qps = x(5);
+
+ // positions derivatives
+ double dqxQ = x(6); // x
+ double dqyQ = x(7); // y
+ double dqzQ = x(8); // z
+
+ // euler angle derivatives xyz
+ double dqph = x(9);
+ double dqth = x(10);
+ double dqps = x(11);
+
+ // Applied force and momentums
+ double Fz = u(0);
+ double Mx = u(1);
+ double My = u(2);
+ double Mz = u(3);
+
+ double t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13;
+
+ t2 = 1.0 / mQ;
+ t3 = std::cos(qth);
+ t4 = std::sin(qth);
+ t5 = 1.0 / Thxxyy;
+ t6 = std::cos(qps);
+ t7 = std::sin(qps);
+ t8 = dqph * dqph;
+ t9 = qth * 2.0;
+ t10 = std::sin(t9);
+ t11 = 1.0 / t3;
+ t12 = Thzz * Thzz;
+ t13 = t3 * t3;
+
+ quadrotor::state_vector_t dx;
+ dx.setZero();
+
+ dx(0) = dqxQ;
+ dx(1) = dqyQ;
+ dx(2) = dqzQ;
+ dx(3) = dqph;
+ dx(4) = dqth;
+ dx(5) = dqps;
+ dx(6) = Fz * t2 * t4;
+ dx(7) = -Fz * t2 * t3 * std::sin(qph);
+ dx(8) = t2 * (mQ * 9.81E2 - Fz * t3 * std::cos(qph) * 1.0E2) * (-1.0 / 1.0E2);
+ dx(9) = -t5 * t11 *
+ (-Mx * t6 + My * t7 + Thzz * dqps * dqth - Thxxyy * dqph * dqth * t4 * 2.0 + Thzz * dqph * dqth * t4);
+ dx(10) = t5 * (Mx * t7 + My * t6 - Thxxyy * t8 * t10 * (1.0 / 2.0) + Thzz * t8 * t10 * (1.0 / 2.0) +
+ Thzz * dqph * dqps * t3);
+ dx(11) = (t5 * t11 * (Mz * Thxxyy * t3 + dqph * dqth * t12 - dqph * dqth * t12 * t13 + dqps * dqth * t4 * t12 -
+ Thxxyy * Thzz * dqph * dqth * 2.0 - Mx * Thzz * t4 * t6 + My * Thzz * t4 * t7 +
+ Thxxyy * Thzz * dqph * dqth * t13)) /
+ Thzz;
+
+
+ // a hacky check to prevent integration from becoming unstable:
+ if (x.norm() > 1e20)
+ dx.setZero();
+
+ return dx;
+}
+}
+}
diff --git a/ct_models/test/HyA/HyATest.cpp b/ct_models/test/HyA/HyATest.cpp
new file mode 100644
index 0000000..7433eed
--- /dev/null
+++ b/ct_models/test/HyA/HyATest.cpp
@@ -0,0 +1,192 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <memory>
+#include <array>
+
+#include <iostream>
+
+#include <Eigen/Dense>
+#include <gtest/gtest.h>
+
+#include <ct/core/core.h>
+#include <ct/rbd/rbd.h>
+
+#include "ct/models/HyA/HyA.h"
+
+using namespace ct;
+using namespace ct::rbd;
+
+#define Debug
+
+TEST(HyaLinearizerTest, NumDiffComparison)
+{
+ typedef FixBaseFDSystem<HyA::Dynamics> HyASystem;
+
+ const size_t STATE_DIM = HyASystem::STATE_DIM;
+ const size_t CONTROL_DIM = HyASystem::CONTROL_DIM;
+
+ std::shared_ptr<HyASystem> hyaSystem(new HyASystem);
+ std::shared_ptr<HyASystem> hyaSystem2(new HyASystem);
+
+ RbdLinearizer<HyASystem> rbdLinearizer(hyaSystem, true);
+ core::SystemLinearizer<STATE_DIM, CONTROL_DIM> systemLinearizer(hyaSystem2, true);
+
+ core::StateVector<STATE_DIM> x;
+ x.setZero();
+ core::ControlVector<CONTROL_DIM> u;
+ u.setZero();
+
+ auto A_rbd = rbdLinearizer.getDerivativeState(x, u, 1.0);
+ auto B_rbd = rbdLinearizer.getDerivativeControl(x, u, 1.0);
+
+ auto A_system = systemLinearizer.getDerivativeState(x, u, 1.0);
+ auto B_system = systemLinearizer.getDerivativeControl(x, u, 1.0);
+
+ ASSERT_LT((A_rbd - A_system).array().abs().maxCoeff(), 1e-5);
+ ASSERT_LT((B_rbd - B_system).array().abs().maxCoeff(), 1e-4);
+
+ size_t nTests = 1000;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x.setRandom();
+ u.setRandom();
+
+ auto A_rbd = rbdLinearizer.getDerivativeState(x, u, 0.0);
+ auto B_rbd = rbdLinearizer.getDerivativeControl(x, u, 0.0);
+
+ auto A_system = systemLinearizer.getDerivativeState(x, u, 0.0);
+ auto B_system = systemLinearizer.getDerivativeControl(x, u, 0.0);
+
+ ASSERT_LT((A_rbd - A_system).array().abs().maxCoeff(), 1e-5);
+
+ ASSERT_LT((B_rbd - B_system).array().abs().maxCoeff(), 1e-4);
+ }
+}
+
+TEST(CodegenLinearizerTest, NumDiffComparison)
+{
+ typedef FixBaseFDSystem<HyA::Dynamics> HyASystem;
+
+ const size_t STATE_DIM = HyASystem::STATE_DIM;
+ const size_t CONTROL_DIM = HyASystem::CONTROL_DIM;
+
+ std::shared_ptr<HyASystem> hyaSystem(new HyASystem);
+
+ RbdLinearizer<HyASystem> rbdLinearizer(hyaSystem, true);
+
+ ct::models::HyA::HyALinearizedForward hyaLinear;
+
+ core::StateVector<STATE_DIM> x;
+ core::ControlVector<CONTROL_DIM> u;
+
+ size_t nTests = 1000;
+ for (size_t i = 0; i < nTests; i++)
+ {
+ x.setRandom();
+ u.setRandom();
+
+ auto A_rbd = rbdLinearizer.getDerivativeState(x, u, 0.0);
+ auto A_gen = hyaLinear.getDerivativeState(x, u, 0.0);
+
+ auto B_rbd = rbdLinearizer.getDerivativeControl(x, u, 0.0);
+ auto B_gen = hyaLinear.getDerivativeControl(x, u, 0.0);
+
+ ASSERT_LT((A_rbd - A_gen).array().abs().maxCoeff(), 1e-5);
+ ASSERT_LT((B_rbd - B_gen).array().abs().maxCoeff(), 1e-4);
+ }
+}
+
+TEST(IntegratorTest, IntegratorTestHya)
+{
+ typedef FixBaseFDSystem<HyA::Dynamics> HyASystem;
+
+ const size_t STATE_DIM = HyASystem::STATE_DIM;
+
+ std::shared_ptr<HyASystem> hyaSystem(new HyASystem);
+
+ core::Integrator<STATE_DIM> integratorEulerOdeint(hyaSystem, core::EULER);
+ core::Integrator<STATE_DIM> integratorRk4Odeint(hyaSystem, core::RK4);
+
+ core::Integrator<STATE_DIM> integratorEulerCT(hyaSystem, core::EULERCT);
+ core::Integrator<STATE_DIM> integratorRK4CT(hyaSystem, core::RK4CT);
+
+ double dt = 0.001;
+ double startTime = 0.0;
+ size_t numSteps = 10;
+
+ size_t nTests = 10000;
+ std::vector<core::StateVector<STATE_DIM>, Eigen::aligned_allocator<core::StateVector<STATE_DIM>>> xEulerOdeint(
+ nTests),
+ xEulerCt(nTests), xRk4Odeint(nTests), xRk4CT(nTests);
+
+ for (size_t i = 0; i < nTests; ++i)
+ {
+ xEulerOdeint[i].setRandom();
+ xEulerCt[i] = xEulerOdeint[i];
+ xRk4Odeint[i].setRandom();
+ xRk4CT[i] = xRk4Odeint[i];
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ integratorEulerOdeint.integrate_n_steps(xEulerOdeint[i], startTime, numSteps, dt);
+ }
+
+ auto end = std::chrono::high_resolution_clock::now();
+ auto diff = end - start;
+ double msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "integratorEulerOdeint: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms"
+ << std::endl;
+
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ integratorEulerCT.integrate_n_steps(xEulerCt[i], startTime, numSteps, dt);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "integratorEulerCT: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ integratorRk4Odeint.integrate_n_steps(xRk4Odeint[i], startTime, numSteps, dt);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "integratorRk4Odeint: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms"
+ << std::endl;
+
+
+ start = std::chrono::high_resolution_clock::now();
+ for (size_t i = 0; i < nTests; i++)
+ {
+ integratorRK4CT.integrate_n_steps(xRk4CT[i], startTime, numSteps, dt);
+ }
+ end = std::chrono::high_resolution_clock::now();
+ diff = end - start;
+ msTotal = std::chrono::duration<double, std::micro>(diff).count() / 1000.0;
+ std::cout << "integratorRK4CT: " << msTotal << " ms. Average: " << msTotal / double(nTests) << " ms" << std::endl;
+
+
+ for (size_t i = 0; i < nTests; ++i)
+ {
+ ASSERT_LT((xRk4CT[i] - xRk4Odeint[i]).array().abs().maxCoeff(), 1e-12);
+ ASSERT_LT((xEulerCt[i] - xEulerOdeint[i]).array().abs().maxCoeff(), 1e-12);
+ }
+}
+
+
+int main(int argc, char **argv)
+{
+ testing::InitGoogleTest(&argc, argv);
+ return RUN_ALL_TESTS();
+}
diff --git a/ct_models/test/IKFast/IKFastTest.cpp b/ct_models/test/IKFast/IKFastTest.cpp
new file mode 100644
index 0000000..208d707
--- /dev/null
+++ b/ct_models/test/IKFast/IKFastTest.cpp
@@ -0,0 +1,80 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/models/HyA/HyAInverseKinematics.h>
+#include <ct/models/Irb4600/Irb4600InverseKinematics.h>
+#include <ct/rbd/rbd.h>
+#include <ct/rbd/state/JointState.h>
+#include <ct/models/HyA/HyA.h>
+
+#include <gtest/gtest.h>
+
+TEST(HyAIKTest, FKTest)
+{
+ ct::rbd::HyAInverseKinematics<double> hya_ik_solver;
+ ct::rbd::HyA::Kinematics kin;
+ typename ct::rbd::tpl::JointState<ct::rbd::HyA::Kinematics::NJOINTS, double>::Position pos;
+ pos << 0, 1, 0, -1, 1, -1;
+
+ auto ee_pose = kin.getEEPoseInBase(0, pos);
+
+ Eigen::Vector3d ee_pos;
+ Eigen::Matrix<double, 3, 3, Eigen::RowMajor> ee_rot;
+ // Data needs to be in row-major form.
+ hya_ik::ComputeFk(pos.data(), ee_pos.data(), ee_rot.data());
+
+ ASSERT_LT((ee_pos - ee_pose.position().toImplementation()).norm(), 1e-6);
+ ASSERT_LT((ee_rot - ee_pose.getRotationMatrix().toImplementation()).norm(), 1e-6);
+}
+
+TEST(HyAIKTest, IKFastTest)
+{
+ ct::rbd::HyAInverseKinematics<double> hya_ik_solver;
+ ct::rbd::HyA::Kinematics kin;
+ typename ct::rbd::tpl::JointState<ct::rbd::HyA::Kinematics::NJOINTS, double>::Position pos;
+ pos << 0, 1, 0, -1, 1, -1;
+
+ auto ee_pose = kin.getEEPoseInBase(0, pos);
+
+ for (const auto& joints : hya_ik_solver.computeInverseKinematics(ee_pose))
+ {
+ auto query_ee_pose = kin.getEEPoseInBase(0, joints);
+ ASSERT_LT((query_ee_pose.position().toImplementation() - ee_pose.position().toImplementation()).norm(), 1e-6);
+ ASSERT_LT(
+ (query_ee_pose.getRotationMatrix().toImplementation() - ee_pose.getRotationMatrix().toImplementation())
+ .norm(),
+ 1e-6);
+ }
+}
+
+TEST(Irb4600IKTest, IKFastTest)
+{
+ ct::rbd::Irb4600InverseKinematics<double> irb4600_ik_solver;
+ typename ct::rbd::tpl::JointState<6, double>::Position pos;
+ pos << 0, 1, 0, -1, 1, -1;
+
+ Eigen::Vector3d ee_pos;
+ Eigen::Matrix<double, 3, 3, Eigen::RowMajor> ee_rot;
+ // Data needs to be in row-major form.
+ irb4600_ik::ComputeFk(pos.data(), ee_pos.data(), ee_rot.data());
+
+ ct::rbd::RigidBodyPose ee_pose;
+ ee_pose.position().toImplementation() = ee_pos;
+ ee_pose.setFromRotationMatrix(kindr::RotationMatrix<double>(ee_rot));
+
+ for (const auto& joints : irb4600_ik_solver.computeInverseKinematics(ee_pose))
+ {
+ irb4600_ik::ComputeFk(joints.data(), ee_pos.data(), ee_rot.data());
+ ASSERT_LT((ee_pos - ee_pose.position().toImplementation()).norm(), 1e-3);
+ ASSERT_LT((ee_rot - ee_pose.getRotationMatrix().toImplementation()).norm(), 1e-3);
+ }
+}
+
+int main(int argc, char** argv)
+{
+ testing::InitGoogleTest(&argc, argv);
+ return RUN_ALL_TESTS();
+}
diff --git a/ct_models/test/QuadrotorWithLoad/QuadrotorWithLoadTest.cpp b/ct_models/test/QuadrotorWithLoad/QuadrotorWithLoadTest.cpp
new file mode 100644
index 0000000..991b55d
--- /dev/null
+++ b/ct_models/test/QuadrotorWithLoad/QuadrotorWithLoadTest.cpp
@@ -0,0 +1,61 @@
+/**********************************************************************************************************************
+This file is part of the Control Toolbox (https://adrlab.bitbucket.io/ct), copyright by ETH Zurich, Google Inc.
+Authors: Michael Neunert, Markus Giftthaler, Markus Stäuble, Diego Pardo, Farbod Farshidian
+Licensed under Apache2 license (see LICENSE file in main directory)
+**********************************************************************************************************************/
+
+#include <ct/core/core.h>
+
+#include <ct/rbd/rbd.h>
+#include <memory>
+#include <array>
+
+#include <iostream>
+
+#include <gtest/gtest.h>
+
+#include <ct/models/QuadrotorWithLoad/QuadrotorWithLoad.h>
+#include <ct/models/QuadrotorWithLoad/QuadrotorWithLoadFDSystem.h>
+
+using namespace ct;
+using namespace ct::rbd;
+
+
+TEST(QuadrotorWithLoadTestTest, NumDiffComparison)
+{
+ typedef QuadrotorWithLoadFDSystem<quadrotor::Dynamics> QuadrotorSystem;
+
+ const size_t STATE_DIM = QuadrotorSystem::STATE_DIM;
+ const size_t CONTROL_DIM = QuadrotorSystem::CONTROL_DIM;
+
+ std::shared_ptr<QuadrotorSystem> quadrotorSystem(new QuadrotorSystem);
+
+ core::SystemLinearizer<STATE_DIM, CONTROL_DIM> systemLinearizer(quadrotorSystem);
+
+ core::StateVector<STATE_DIM> x;
+ x.setZero();
+ core::ControlVector<CONTROL_DIM> u;
+ u.setZero();
+
+ // auto A_system = systemLinearizer.getDerivativeState(x, u, 1.0);
+ // auto B_system = systemLinearizer.getDerivativeControl(x, u, 1.0);
+ //
+ //
+ // size_t nTests = 1000;
+ // for (size_t i=0; i<nTests; i++)
+ // {
+ // x.setRandom();
+ // u.setRandom();
+ //
+ // auto A_system = systemLinearizer.getDerivativeState(x, u, 0.0);
+ // auto B_system = systemLinearizer.getDerivativeControl(x, u, 0.0);
+ // }
+
+ /* todo insert meaningful unit test here */
+}
+
+int main(int argc, char **argv)
+{
+ testing::InitGoogleTest(&argc, argv);
+ return RUN_ALL_TESTS();
+}
diff --git a/ct_models/urdf/HyA/HyA.urdf b/ct_models/urdf/HyA/HyA.urdf
new file mode 100644
index 0000000..7c6c61f
--- /dev/null
+++ b/ct_models/urdf/HyA/HyA.urdf
@@ -0,0 +1,339 @@
+<?xml version="1.0" ?>
+<!-- =================================================================================== -->
+<!-- | This document was autogenerated by xacro from /home/tim/catkin_ws/src/hya_gazebo/hya_description/urdf/arm/arm.urdf.xacro | -->
+<!-- | EDITING THIS FILE BY HAND IS NOT RECOMMENDED | -->
+<!-- =================================================================================== -->
+<!-- This was generated from arm.urdf.xacro in hya_gazebo/hya_description and modified to
+remove the unneeded links and joints -->
+<robot name="hya" xmlns:xacro="http://www.ros.org/wiki/xacro">
+ <!-- Things that are needed only for Gazebo (not the physical robot). These include sensor and controller plugin specifications -->
+ <!-- Inertial values -->
+ <!-- Shoulder AA link -->
+ <!-- Shoulder FE link -->
+ <!-- Humerus R link -->
+ <!-- Elbow FE link -->
+ <!-- Wrist R link -->
+ <!-- Wrist FE link -->
+ <!-- <xacro:include filename="$(find hya_gazebo)/hya_description/urdf/arm/arm.transmission.xacro"/> -->
+ <!-- Joints -->
+ <!-- Note that it is assumed that the 6 arm joints are defined last! -->
+ <!-- Shoulder AA joint -->
+ <joint name="hya_saa_joint" type="revolute">
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <parent link="hya_base_link"/>
+ <child link="hya_shoulder_aa_link"/>
+ <axis xyz="0 0 1"/>
+ <dynamics damping="0.1" friction="0"/>
+ <limit effort="150.0" lower="-3.1416" upper="0.5236" velocity="12.0"/>
+ </joint>
+ <!-- Shoulder FE joint -->
+ <joint name="hya_sfe_joint" type="revolute">
+ <origin rpy="1.57079632679 0 0" xyz="0 0 0.178"/>
+ <parent link="hya_shoulder_aa_link"/>
+ <child link="hya_shoulder_fe_link"/>
+ <axis xyz="0 0 1"/>
+ <dynamics damping="0.1" friction="0"/>
+ <limit effort="150.0" lower="-0.7679" upper="0.8552" velocity="12.0"/>
+ </joint>
+ <!-- Humerus R joint -->
+ <joint name="hya_hr_joint" type="revolute">
+ <origin rpy="0 1.57079632679 0" xyz="0.112 0 0"/>
+ <parent link="hya_shoulder_fe_link"/>
+ <child link="hya_humerus_r_link"/>
+ <axis xyz="0 0 1"/>
+ <dynamics damping="0.1" friction="0"/>
+ <limit effort="150.0" lower="-1.6406" upper="0.0698" velocity="12.0"/>
+ </joint>
+ <!-- Elbow FE joint -->
+ <joint name="hya_efe_joint" type="revolute">
+ <origin rpy="0 -1.57079632679 0" xyz="0 0 0.304"/>
+ <parent link="hya_humerus_r_link"/>
+ <child link="hya_elbow_fe_link"/>
+ <axis xyz="0 0 1"/>
+ <dynamics damping="0.1" friction="0"/>
+ <limit effort="150.0" lower="0" upper="2.2689" velocity="12.0"/>
+ </joint>
+ <!-- Wrist R joint -->
+ <joint name="hya_wr_joint" type="revolute">
+ <origin rpy="0 1.57079632679 0" xyz="0.112 0 0"/>
+ <parent link="hya_elbow_fe_link"/>
+ <child link="hya_wrist_r_link"/>
+ <axis xyz="0 0 1"/>
+ <dynamics damping="0.1" friction="0"/>
+ <limit effort="150.0" lower="-2.0944" upper="1.5708" velocity="12.0"/>
+ </joint>
+ <!-- Wrist FE joint -->
+ <joint name="hya_wfe_joint" type="revolute">
+ <!--origin rpy="-1.57079632679 0 -1.57079632679" xyz="0.02075 0 0.184"/-->
+ <origin xyz="0.02075 0.00000 0.18400" rpy="2.3561944901923457 -1.5707962635746238 2.3561944901923457"/>
+ <parent link="hya_wrist_r_link"/>
+ <child link="hya_wrist_fe_link"/>
+ <axis xyz="0 0 1"/>
+ <dynamics damping="0.1" friction="0"/>
+ <limit effort="150.0" lower="-0.5236" upper="1.5708" velocity="12.0"/>
+ </joint>
+ <!-- Links -->
+ <!-- Heavy base link -->
+ <link name="hya_base_link">
+ <inertial>
+ <origin xyz="0 0 0"/>
+ <mass value="1.0"/>
+ <inertia ixx="0" ixy="0" ixz="0" iyy="0" iyz="0" izz="0"/>
+ <!-- <origin xyz="${xcom_shoulder_aa} ${ycom_shoulder_aa} ${zcom_shoulder_aa}"/>
+ <mass value="${m_shoulder_aa}"/>
+ <inertia ixx="${ixx_shoulder_aa}" iyy="${iyy_shoulder_aa}" izz="${izz_shoulder_aa}"
+ ixy="${ixy_shoulder_aa}" ixz="${ixz_shoulder_aa}" iyz="${iyz_shoulder_aa}"/>-->
+ </inertial>
+ <collision>
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/base.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/base.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Shoulder AA link -->
+ <link name="hya_shoulder_aa_link">
+ <inertial>
+ <origin xyz="-0.000196 -0.000361 0.003091"/>
+ <mass value="2.6888738"/>
+ <inertia ixx="0.004985" ixy="0.000585" ixz="-0.000613" iyy="0.007629" iyz="-0.000894" izz="0.004716"/>
+ </inertial>
+ <collision>
+ <origin rpy="1.57079632679 0 0" xyz="0 0 0.178"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/shoulder_aa.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin rpy="1.57079632679 0 0" xyz="0 0 0.178"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/shoulder_aa.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Shoulder FE link -->
+ <link name="hya_shoulder_fe_link">
+ <inertial>
+ <origin xyz="-0.003832 -0.023382 0.0011662"/>
+ <mass value="2.5924192"/>
+ <inertia ixx="0.018197" ixy="-0.002752" ixz="-0.021739" iyy="0.052659" iyz="0.001261" izz="0.039003"/>
+ </inertial>
+ <collision>
+ <origin rpy="0 1.57079632679 0" xyz="0.112 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/shoulder_fe.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin rpy="0 1.57079632679 0" xyz="0.112 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/shoulder_fe.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Humerus R link -->
+ <link name="hya_humerus_r_link">
+ <inertial>
+ <origin xyz="-0.0023905974 0.0061804946 -0.025544674"/>
+ <mass value="2.3269372"/>
+ <inertia ixx="0.01033" ixy="-0.00572" ixz="-0.013406" iyy="0.030957" iyz="5.4e-05" izz="0.023452"/>
+ </inertial>
+ <collision>
+ <origin rpy="0 -1.57079632679 0" xyz="0 0 0.304"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/humerus_r.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin rpy="0 -1.57079632679 0" xyz="0 0 0.304"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/humerus_r.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Elbow FE link -->
+ <link name="hya_elbow_fe_link">
+ <inertial>
+ <origin xyz="-0.14664831 -0.011245545 0.0010224985"/>
+ <mass value="1.7423721"/>
+ <inertia ixx="0.081658" ixy="-0.002292" ixz="-0.000212" iyy="0.004234" iyz="-0.00271" izz="0.081661"/>
+ </inertial>
+ <collision>
+ <origin rpy="0 1.57079632679 0" xyz="0.112 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/elbow_fe.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin rpy="0 1.57079632679 0" xyz="0.112 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/elbow_fe.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Wrist R link -->
+ <link name="hya_wrist_r_link">
+ <inertial>
+ <origin xyz="0.00039787203 -0.0026089323 -0.023167611"/>
+ <mass value="2.1032866"/>
+ <inertia ixx="0.019432" ixy="0.001387" ixz="0.012652" iyy="0.029115" iyz="0.001243" izz="0.011046"/>
+ </inertial>
+ <collision>
+ <origin rpy="-1.57079632679 0 -1.57079632679" xyz="0.02075 0 0.184"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/wrist_r.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 0.0475"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/wrist_r.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Wrist FE link -->
+ <link name="hya_wrist_fe_link">
+ <inertial>
+ <origin xyz="-0.078762366 -0.010631221 -0.0008358458"/>
+ <mass value="1.64583"/>
+ <inertia ixx="0.010737" ixy="-0.000198" ixz="-1.5e-05" iyy="0.003227" iyz="0.000829" izz="0.009277"/>
+ </inertial>
+ <collision>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/wrist_fe.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ <visual>
+ <origin xyz="0.0 0.0 0.0" rpy="0 0.0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyA/meshes/wrist_fe.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ </link>
+
+ <link name="hya_ee0" />
+ <joint name="hya_ee0_joint" type="fixed">
+ <parent link="hya_wrist_fe_link"/>
+ <child link="hya_ee0"/>
+ <origin xyz="0.03 0 0"/>
+ <axis xyz="0 0 0"/>
+ <limit lower="0" upper="0" effort="100" velocity="0.5" />
+ </joint>
+
+ <!-- Gazebo extensions -->
+ <!-- Links -->
+ <!-- Moving platform -->
+ <gazebo reference="hya_platform">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>100.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ <material>Gazebo/Blue</material>
+ <gravity>false</gravity>
+ </gazebo>
+ <!-- Base link -->
+ <gazebo reference="hya_base_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <!-- Was 1.5 for mu1 and mu2 -->
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Shoulder AA link -->
+ <gazebo reference="hya_shoulder_aa_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Shoulder FE link -->
+ <gazebo reference="hya_shoulder_fe_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Humerus HR link -->
+ <gazebo reference="hya_humerus_r_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Elbow FE link -->
+ <gazebo reference="hya_elbow_fe_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Wrist WR link -->
+ <gazebo reference="hya_wrist_r_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Wrist FE link -->
+ <gazebo reference="hya_wrist_fe_link">
+ <kp>1000000.0</kp>
+ <kd>100.0</kd>
+ <mu1>0</mu1>
+ <mu2>0</mu2>
+ <fdir1>1 0 0</fdir1>
+ <maxVel>1.0</maxVel>
+ <minDepth>0.00</minDepth>
+ <selfCollide>true</selfCollide>
+ </gazebo>
+ <!-- Plugins -->
+ <gazebo>
+ <plugin filename="libdisturbance_plugin.so" name="DisturbancePlugin">
+ <robotName>hya</robotName>
+ <amplitude>0.1</amplitude>
+ <period>2.0</period>
+ </plugin>
+ <plugin filename="libid_plugin.so" name="IDPlugin">
+ <robotName>hya</robotName>
+ <SAA_init>0</SAA_init>
+ <SFE_init>0</SFE_init>
+ <HR_init>-0.7854</HR_init>
+ <EFE_init>0.7854</EFE_init>
+ <WR_init>0.7854</WR_init>
+ <WFE_init>0</WFE_init>
+ </plugin>
+ </gazebo>
+</robot>
diff --git a/ct_models/urdf/HyA/meshes/base.dae b/ct_models/urdf/HyA/meshes/base.dae
new file mode 100644
index 0000000..e880361
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/base.dae
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T09:44:26</created>
+ <modified>2015-04-23T09:44:26</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="base-mesh" name="base">
+ <mesh>
+ <source id="base-mesh-positions">
+ <float_array id="base-mesh-positions-array" count="13710">2.46877e-5 3.93919e-6 3.4e-5 3.4e-5 -4e-5 3.4e-5 4e-5 -3.4e-5 3.4e-5 3.4e-5 -4e-5 -3.4e-5 4e-5 3.4e-5 3.4e-5 3.4e-5 4e-5 3.4e-5 2.05325e-5 1.42619e-5 3.4e-5 4e-5 -3.4e-5 -3.4e-5 -1.23131e-5 -2.1757e-5 3.4e-5 -3.4e-5 -4e-5 3.4e-5 -3.4e-5 -4e-5 -3.4e-5 -1.65474e-6 -2.49451e-5 3.4e-5 9.33545e-6 -2.31915e-5 3.4e-5 1.84725e-5 -1.68448e-5 3.4e-5 2.39513e-5 -7.164e-6 3.4e-5 -4e-5 3.4e-5 3.4e-5 -4e-5 -3.4e-5 3.4e-5 -4e-5 -3.4e-5 -3.4e-5 -2.05325e-5 -1.42619e-5 3.4e-5 -2.46877e-5 -3.93919e-6 3.4e-5 -4e-5 3.4e-5 -3.4e-5 -3.4e-5 4e-5 3.4e-5 -3.4e-5 4e-5 -3.4e-5 1.23131e-5 2.1757e-5 3.4e-5 3.4e-5 4e-5 -3.4e-5 -2.39513e-5 7.164e-6 3.4e-5 1.65474e-6 2.49451e-5 3.4e-5 -9.33545e-6 2.31915e-5 3.4e-5 -1.84725e-5 1.68448e-5 3.4e-5 4e-5 3.4e-5 -3.4e-5 -2.46877e-5 -3.93919e-6 3.7e-5 -2.39518e-5 7.16292e-6 3.7e-5 -2.05333e-5 -1.42611e-5 3.7e-5 -1.23129e-5 -2.17566e-5 3.7e-5 -1.65096e-6 -2.49455e-5 3.7e-5 9.33199e-6 -2.31931e-5 3.7e-5 1.84721e-5 -1.68446e-5 3.7e-5 2.39518e-5 -7.16292e-6 3.7e-5 2.46877e-5 3.93919e-6 3.7e-5 2.05333e-5 1.42611e-5 3.7e-5 1.23129e-5 2.17566e-5 3.7e-5 1.65096e-6 2.49455e-5 3.7e-5 -9.33199e-6 2.31931e-5 3.7e-5 -1.84721e-5 1.68446e-5 3.7e-5 7.69904e-6 7.71672e-6 3.4e-5 1.07644e-5 1.71758e-6 3.4e-5 9.71817e-6 -4.93762e-6 3.4e-5 1.07644e-5 1.71758e-6 3.7e-5 7.69904e-6 7.71672e-6 3.7e-5 1.69287e-6 1.07683e-5 3.4e-5 4.95991e-6 -9.70682e-6 3.4e-5 9.71817e-6 -4.93762e-6 3.7e-5 -4.95991e-6 9.70682e-6 3.4e-5 -1.69287e-6 -1.07683e-5 3.4e-5 4.95991e-6 -9.70682e-6 3.7e-5 -9.71817e-6 4.93762e-6 3.4e-5 -7.69904e-6 -7.71672e-6 3.4e-5 -1.69287e-6 -1.07683e-5 3.7e-5 -1.07644e-5 -1.71758e-6 3.4e-5 -7.69904e-6 -7.71672e-6 3.7e-5 -1.07644e-5 -1.71758e-6 3.7e-5 -9.71817e-6 4.93762e-6 3.7e-5 -4.95991e-6 9.70682e-6 3.7e-5 1.69287e-6 1.07683e-5 3.7e-5 -1.0179e-5 5.17018e-6 3.7e-5 -8.06457e-6 -8.08113e-6 3.7e-5 -1.12743e-5 -1.79893e-6 3.7e-5 -5.19528e-6 1.01659e-5 3.7e-5 1.77369e-6 1.12779e-5 3.7e-5 8.06457e-6 8.08113e-6 3.7e-5 1.0179e-5 -5.17018e-6 3.7e-5 1.12743e-5 1.79893e-6 3.7e-5 5.19528e-6 -1.01659e-5 3.7e-5 -1.77369e-6 -1.12779e-5 3.7e-5 -1.12743e-5 -1.79893e-6 5.9e-5 -1.01794e-5 5.16961e-6 5.9e-5 -8.0652e-6 -8.08073e-6 5.9e-5 -1.76894e-6 -1.1279e-5 5.9e-5 5.19112e-6 -1.01685e-5 5.9e-5 1.01794e-5 -5.16961e-6 5.9e-5 1.12743e-5 1.79893e-6 5.9e-5 8.0652e-6 8.08073e-6 5.9e-5 1.76894e-6 1.1279e-5 5.9e-5 -5.19112e-6 1.01685e-5 5.9e-5 -3.9e-5 3.35858e-5 3.4e-5 -2.26314e-6 3.37621e-5 3.4e-5 -3.2e-6 3.15e-5 3.4e-5 -3.2e-6 3.15e-5 3.545e-5 -2.94627e-5 3.11127e-5 3.4e-5 -2.26314e-6 2.92379e-5 3.4e-5 -2.26274e-6 2.92373e-5 3.545e-5 -3.02882e-5 3.25417e-5 3.4e-5 -3.35858e-5 3.9e-5 3.4e-5 0 3.46997e-5 3.4e-5 -2.26274e-6 3.37627e-5 3.545e-5 3.9e-5 3.35858e-5 3.4e-5 2.26314e-6 3.37621e-5 3.4e-5 0 3.47e-5 3.545e-5 2.96837e-5 3.19372e-5 3.4e-5 3.2e-6 3.15e-5 3.4e-5 2.26274e-6 3.37627e-5 3.545e-5 3.11127e-5 3.27627e-5 3.4e-5 3.11127e-5 2.94627e-5 3.4e-5 2.26314e-6 2.92379e-5 3.4e-5 3.2e-6 3.15e-5 3.545e-5 2.96837e-5 3.02882e-5 3.4e-5 1.58991e-5 1.99366e-5 3.4e-5 0 2.83003e-5 3.4e-5 2.26274e-6 2.92373e-5 3.545e-5 -3.19372e-5 2.96837e-5 3.4e-5 0 2.83e-5 3.545e-5 5.67432e-6 2.48607e-5 3.4e-5 -3.02882e-5 2.96837e-5 3.4e-5 -2.29748e-5 -1.10638e-5 3.4e-5 -3.37621e-5 -2.26314e-6 3.4e-5 -3.15e-5 -3.2e-6 3.4e-5 -3.15e-5 -3.2e-6 3.545e-5 -2.92379e-5 -2.26314e-6 3.4e-5 -2.92373e-5 -2.26274e-6 3.545e-5 -3.11127e-5 -2.94627e-5 3.4e-5 -3.46997e-5 0 3.4e-5 -3.37627e-5 -2.26274e-6 3.545e-5 -1.58991e-5 -1.99366e-5 3.4e-5 -3.37621e-5 2.26314e-6 3.4e-5 -3.47e-5 0 3.545e-5 -3.15e-5 3.2e-6 3.4e-5 -3.37627e-5 2.26274e-6 3.545e-5 -2.29748e-5 1.10638e-5 3.4e-5 -2.92379e-5 2.26314e-6 3.4e-5 -3.15e-5 3.2e-6 3.545e-5 -2.55e-5 0 3.4e-5 -2.83003e-5 0 3.4e-5 -2.92373e-5 2.26274e-6 3.545e-5 -2.83e-5 0 3.545e-5 3.9e-5 -3.35858e-5 3.4e-5 2.26314e-6 -3.37621e-5 3.4e-5 3.2e-6 -3.15e-5 3.4e-5 3.2e-6 -3.15e-5 3.545e-5 2.94627e-5 -3.11127e-5 3.4e-5 2.26314e-6 -2.92379e-5 3.4e-5 2.26274e-6 -2.92373e-5 3.545e-5 3.02882e-5 -3.25417e-5 3.4e-5 3.35858e-5 -3.9e-5 3.4e-5 0 -3.46997e-5 3.4e-5 2.26274e-6 -3.37627e-5 3.545e-5 -3.9e-5 -3.35858e-5 3.4e-5 -2.26314e-6 -3.37621e-5 3.4e-5 0 -3.47e-5 3.545e-5 -2.96837e-5 -3.19372e-5 3.4e-5 -3.2e-6 -3.15e-5 3.4e-5 -2.26274e-6 -3.37627e-5 3.545e-5 -3.11127e-5 -3.27627e-5 3.4e-5 -2.26314e-6 -2.92379e-5 3.4e-5 -3.2e-6 -3.15e-5 3.545e-5 -2.96837e-5 -3.02882e-5 3.4e-5 0 -2.83003e-5 3.4e-5 -2.26274e-6 -2.92373e-5 3.545e-5 3.19372e-5 -2.96837e-5 3.4e-5 0 -2.83e-5 3.545e-5 -5.67432e-6 -2.48607e-5 3.4e-5 3.02882e-5 -2.96837e-5 3.4e-5 2.29748e-5 1.10638e-5 3.4e-5 3.37621e-5 2.26314e-6 3.4e-5 3.15e-5 3.2e-6 3.4e-5 3.15e-5 3.2e-6 3.545e-5 2.92379e-5 2.26314e-6 3.4e-5 2.92373e-5 2.26274e-6 3.545e-5 3.46997e-5 0 3.4e-5 3.37627e-5 2.26274e-6 3.545e-5 3.37621e-5 -2.26314e-6 3.4e-5 3.47e-5 0 3.545e-5 3.15e-5 -3.2e-6 3.4e-5 3.37627e-5 -2.26274e-6 3.545e-5 2.29748e-5 -1.10638e-5 3.4e-5 2.92379e-5 -2.26314e-6 3.4e-5 3.15e-5 -3.2e-6 3.545e-5 2.55e-5 0 3.4e-5 2.83003e-5 0 3.4e-5 2.92373e-5 -2.26274e-6 3.545e-5 2.83e-5 0 3.545e-5 -3.19372e-5 3.25417e-5 3.4e-5 -3.27627e-5 3.11127e-5 3.4e-5 -3.27627e-5 3.11127e-5 5.6e-5 -3.19372e-5 2.96837e-5 5.6e-5 -3.19372e-5 3.25417e-5 5.6e-5 -3.02882e-5 3.25417e-5 5.6e-5 -2.94627e-5 3.11127e-5 5.6e-5 -3.02882e-5 2.96837e-5 5.6e-5 -1.58991e-5 1.99366e-5 3.4e-5 -5.67431e-6 2.48607e-5 3.4e-5 -3.25417e-5 -3.19372e-5 3.4e-5 -3.11127e-5 -3.27627e-5 5.6e-5 -2.96837e-5 -3.19372e-5 5.6e-5 -3.25417e-5 -3.02882e-5 3.4e-5 -3.25417e-5 -3.19372e-5 5.6e-5 -3.25417e-5 -3.02882e-5 5.6e-5 -3.11127e-5 -2.94627e-5 5.6e-5 -2.96837e-5 -3.02882e-5 5.6e-5 3.19372e-5 -3.25417e-5 3.4e-5 3.27627e-5 -3.11127e-5 3.4e-5 3.27627e-5 -3.11127e-5 5.6e-5 3.19372e-5 -2.96837e-5 5.6e-5 3.19372e-5 -3.25417e-5 5.6e-5 3.02882e-5 -3.25417e-5 5.6e-5 2.94627e-5 -3.11127e-5 5.6e-5 3.02882e-5 -2.96837e-5 5.6e-5 1.58991e-5 -1.99366e-5 3.4e-5 5.67431e-6 -2.48607e-5 3.4e-5 3.25417e-5 3.19372e-5 3.4e-5 3.11127e-5 3.27627e-5 5.6e-5 2.96837e-5 3.19372e-5 5.6e-5 3.25417e-5 3.02882e-5 3.4e-5 3.25417e-5 3.19372e-5 5.6e-5 3.25417e-5 3.02882e-5 5.6e-5 3.11127e-5 2.94627e-5 5.6e-5 2.96837e-5 3.02882e-5 5.6e-5 -3.35858e-5 -3.9e-5 3.4e-5 -3.4e-5 -4e-5 3.5e-5 -4e-5 -3.4e-5 3.5e-5 3.4e-5 -4e-5 3.5e-5 4e-5 -3.4e-5 3.5e-5 3.35858e-5 3.9e-5 3.4e-5 4e-5 3.4e-5 3.5e-5 3.4e-5 4e-5 3.5e-5 -3.4e-5 4e-5 3.5e-5 -4e-5 3.4e-5 3.5e-5 2.5e-5 0 3.45e-5 2.25243e-5 1.08469e-5 3.45e-5 2.25243e-5 -1.08469e-5 3.45e-5 1.55873e-5 -1.95457e-5 3.45e-5 5.56305e-6 -2.43732e-5 3.45e-5 -5.56306e-6 -2.43732e-5 3.45e-5 -1.55873e-5 -1.95457e-5 3.45e-5 -2.25243e-5 -1.08469e-5 3.45e-5 -2.5e-5 0 3.45e-5 -2.25243e-5 1.08469e-5 3.45e-5 -1.55873e-5 1.95457e-5 3.45e-5 -5.56305e-6 2.43732e-5 3.45e-5 5.56306e-6 2.43732e-5 3.45e-5 1.55873e-5 1.95457e-5 3.45e-5 -1.59064e-5 -3.18765e-5 3.85e-5 -4.94384e-6 -2.76766e-5 3.85e-5 -1.57382e-6 -2.54514e-5 3.85e-5 -2.51906e-5 -2.51907e-5 3.85e-5 -1.04805e-5 -2.32466e-5 3.85e-5 -5.56297e-6 -2.43732e-5 3.8e-5 0 -2.5e-5 3.8e-5 0 -2.53748e-5 3.83752e-5 -6.25e-6 -3.15e-5 3.85e-5 -5.92358e-6 -3.34934e-5 3.85e-5 -4.98111e-6 -3.5275e-5 3.85e-5 -1.58926e-5 -3.22782e-5 3.86465e-5 -1.89239e-6 -3.74566e-5 3.85e-5 -4.6401e-6 -3.56871e-5 3.86556e-5 -1.80291e-5 -1.80331e-5 3.85e-5 -3.18765e-5 -1.59063e-5 3.85e-5 -2.54407e-5 -2.54407e-5 3.86465e-5 -3.34934e-5 -5.92358e-6 3.85e-5 -3.5275e-5 -4.98111e-6 3.85e-5 -3.22782e-5 -1.58927e-5 3.86465e-5 -3.15e-5 -6.25e-6 3.85e-5 -2.32447e-5 -1.04846e-5 3.85e-5 -3.74566e-5 -1.89239e-6 3.85e-5 -3.56872e-5 -4.64001e-6 3.86557e-5 -2.76766e-5 -4.94384e-6 3.85e-5 -2.54511e-5 -1.57312e-6 3.85e-5 -2.43732e-5 -5.56314e-6 3.8e-5 -2.5e-5 0 3.8e-5 -2.53749e-5 0 3.83751e-5 -2.25242e-5 -1.08472e-5 3.8e-5 -1.55872e-5 -1.95458e-5 3.8e-5 -1.95457e-5 -1.55873e-5 3.8e-5 -1.0847e-5 -2.25242e-5 3.8e-5 -2.29721e-5 1.1069e-5 3.85e-5 -2.76766e-5 4.94384e-6 3.85e-5 -2.54511e-5 1.57309e-6 3.85e-5 -2.30964e-5 9.99657e-6 3.81669e-5 -3.15e-5 6.25e-6 3.85e-5 -3.34934e-5 5.92358e-6 3.85e-5 -3.18765e-5 1.59064e-5 3.85e-5 -3.5275e-5 4.98111e-6 3.85e-5 -3.22782e-5 1.58926e-5 3.86465e-5 -3.74572e-5 1.89062e-6 3.85e-5 -3.69829e-5 3e-6 3.9e-5 -3.56776e-5 4.64866e-6 3.86471e-5 -8.68165e-6 2.39765e-5 3.85e-5 -2.51907e-5 2.51906e-5 3.85e-5 -1.70931e-5 1.89227e-5 3.85e-5 -6.25e-6 3.15e-5 3.85e-5 -1.59063e-5 3.18765e-5 3.85e-5 -2.54407e-5 2.54407e-5 3.86465e-5 -4.94384e-6 2.76766e-5 3.85e-5 -1.57379e-6 2.54514e-5 3.85e-5 -5.18005e-6 2.49683e-5 3.85e-5 -5.92358e-6 3.34934e-5 3.85e-5 -4.98111e-6 3.5275e-5 3.85e-5 -1.58927e-5 3.22782e-5 3.86465e-5 -1.89062e-6 3.74572e-5 3.85e-5 -4.64865e-6 3.56776e-5 3.86471e-5 0 2.5e-5 3.8e-5 0 2.53748e-5 3.83752e-5 -5.56306e-6 2.43732e-5 3.8e-5 -1.7352e-5 1.8458e-5 3.83336e-5 -1.08471e-5 2.25242e-5 3.8e-5 3.18765e-5 -1.59064e-5 3.85e-5 1.70932e-5 -1.89228e-5 3.85e-5 8.68174e-6 -2.39764e-5 3.85e-5 1.7352e-5 -1.8458e-5 3.83336e-5 2.51907e-5 -2.51906e-5 3.85e-5 5.17878e-6 -2.49687e-5 3.85e-5 5.56306e-6 -2.43732e-5 3.8e-5 1.08471e-5 -2.25242e-5 3.8e-5 2.29724e-5 -1.10688e-5 3.85e-5 2.76766e-5 -4.94384e-6 3.85e-5 2.54511e-5 -1.5731e-6 3.85e-5 2.30964e-5 -9.99657e-6 3.81669e-5 3.15e-5 -6.25e-6 3.85e-5 3.34934e-5 -5.92358e-6 3.85e-5 2.53749e-5 0 3.83751e-5 2.5e-5 0 3.8e-5 3.5275e-5 -4.98111e-6 3.85e-5 3.22782e-5 -1.58926e-5 3.86465e-5 3.74566e-5 -1.89239e-6 3.85e-5 3.69829e-5 -3e-6 3.9e-5 3.56776e-5 -4.64866e-6 3.86471e-5 6.25e-6 -3.15e-5 3.85e-5 1.59063e-5 -3.18765e-5 3.85e-5 2.54407e-5 -2.54407e-5 3.86465e-5 4.94384e-6 -2.76766e-5 3.85e-5 1.57379e-6 -2.54514e-5 3.85e-5 5.92358e-6 -3.34934e-5 3.85e-5 4.98111e-6 -3.5275e-5 3.85e-5 1.58927e-5 -3.22782e-5 3.86465e-5 1.89062e-6 -3.74572e-5 3.85e-5 4.64865e-6 -3.56776e-5 3.86471e-5 1.59064e-5 3.18765e-5 3.85e-5 4.94384e-6 2.76766e-5 3.85e-5 1.57382e-6 2.54514e-5 3.85e-5 2.51906e-5 2.51907e-5 3.85e-5 1.04826e-5 2.32456e-5 3.85e-5 5.56297e-6 2.43732e-5 3.8e-5 6.25e-6 3.15e-5 3.85e-5 5.92358e-6 3.34934e-5 3.85e-5 4.98111e-6 3.5275e-5 3.85e-5 1.58926e-5 3.22782e-5 3.86465e-5 1.89239e-6 3.74566e-5 3.85e-5 4.6401e-6 3.56871e-5 3.86556e-5 1.80312e-5 1.8031e-5 3.85e-5 3.18765e-5 1.59063e-5 3.85e-5 2.54407e-5 2.54407e-5 3.86465e-5 3.34934e-5 5.92358e-6 3.85e-5 3.5275e-5 4.98111e-6 3.85e-5 3.22782e-5 1.58927e-5 3.86465e-5 3.15e-5 6.25e-6 3.85e-5 2.32456e-5 1.04827e-5 3.85e-5 3.74572e-5 1.89062e-6 3.85e-5 3.56872e-5 4.64001e-6 3.86557e-5 2.76766e-5 4.94384e-6 3.85e-5 2.54511e-5 1.57312e-6 3.85e-5 2.43732e-5 5.56314e-6 3.8e-5 2.25242e-5 1.08472e-5 3.8e-5 1.55872e-5 1.95458e-5 3.8e-5 1.95457e-5 1.55873e-5 3.8e-5 1.0847e-5 2.25242e-5 3.8e-5 -4e-5 3e-6 3.9e-5 -4e-5 -3e-6 4.75e-5 -4e-5 -3.4e-5 5.6e-5 -3.4e-5 -4e-5 5.6e-5 -4e-5 -3e-6 3.9e-5 -4e-5 -4.41421e-6 3.95858e-5 -4e-5 -5e-6 4.1e-5 -4e-5 -5e-6 4.55e-5 -4e-5 -4.41421e-6 4.69142e-5 -4e-5 4.41421e-6 3.95858e-5 -4e-5 3.4e-5 5.6e-5 -3.77705e-5 4.17013e-6 5.6e-5 -4e-5 5e-6 4.1e-5 -4e-5 5e-6 4.55e-5 -4e-5 4.41421e-6 4.69142e-5 -4e-5 3e-6 4.75e-5 -3.4e-5 4e-5 5.6e-5 -4.17013e-6 3.77705e-5 5.6e-5 -1.64473e-5 3.42559e-5 5.6e-5 -6.17585e-6 -3.74948e-5 5.6e-5 -3.66296e-5 -1.01124e-5 5.6e-5 -3.02797e-5 -2.2959e-5 5.6e-5 -1.96241e-5 -3.25404e-5 5.6e-5 -3.57773e-5 5e-6 4.55e-5 -3.58445e-5 4.49309e-6 4.68307e-5 -3.5798e-5 4.84962e-6 4.62609e-5 -3.57773e-5 5e-6 4.1e-5 -3.64295e-5 3.84225e-6 3.9186e-5 -3.58445e-5 4.49309e-6 3.96693e-5 -3.5798e-5 4.84982e-6 4.02396e-5 -3.69829e-5 -3e-6 3.9e-5 -3.77498e-5 0 3.9e-5 -3.58445e-5 -4.49309e-6 3.96693e-5 -3.64314e-5 -3.83981e-6 3.91849e-5 -3.57773e-5 -5e-6 4.1e-5 -3.5798e-5 -4.84962e-6 4.02391e-5 -3.57773e-5 -5e-6 4.55e-5 -3.64295e-5 -3.84225e-6 4.7314e-5 -3.58445e-5 -4.49309e-6 4.68307e-5 -3.5798e-5 -4.84982e-6 4.62604e-5 -3.69829e-5 -3e-6 4.75e-5 -3.69829e-5 3e-6 4.75e-5 -3.77498e-5 0 4.75e-5 -3.64269e-5 3.8455e-6 4.73125e-5 3.4e-5 -4e-5 5.6e-5 4e-5 -3.4e-5 5.6e-5 8.15305e-6 -3.7115e-5 5.6e-5 4e-5 -3e-6 3.9e-5 4e-5 3e-6 4.75e-5 4e-5 3.4e-5 5.6e-5 3.4e-5 4e-5 5.6e-5 4e-5 3e-6 3.9e-5 4e-5 4.41421e-6 3.95858e-5 4e-5 5e-6 4.1e-5 4e-5 5e-6 4.55e-5 4e-5 4.41421e-6 4.69142e-5 4e-5 -4.41421e-6 3.95858e-5 3.71138e-5 -8.1585e-6 5.6e-5 4e-5 -5e-6 4.1e-5 4e-5 -5e-6 4.55e-5 4e-5 -4.41421e-6 4.69142e-5 4e-5 -3e-6 4.75e-5 1.01175e-5 3.66282e-5 5.6e-5 3.74957e-5 6.1704e-6 5.6e-5 3.25432e-5 1.96195e-5 5.6e-5 3.57773e-5 -5e-6 4.55e-5 3.58445e-5 -4.49309e-6 4.68307e-5 3.5798e-5 -4.84962e-6 4.62609e-5 3.57773e-5 -5e-6 4.1e-5 3.64295e-5 -3.84225e-6 3.9186e-5 3.58445e-5 -4.49309e-6 3.96693e-5 3.5798e-5 -4.84982e-6 4.02396e-5 3.69829e-5 3e-6 3.9e-5 3.77498e-5 0 3.9e-5 3.58445e-5 4.49309e-6 3.96693e-5 3.64314e-5 3.83981e-6 3.91849e-5 3.57773e-5 5e-6 4.1e-5 3.5798e-5 4.84962e-6 4.02391e-5 3.57773e-5 5e-6 4.55e-5 3.64295e-5 3.84225e-6 4.7314e-5 3.5798e-5 4.84982e-6 4.62604e-5 3.58445e-5 4.49309e-6 4.68307e-5 3.69829e-5 3e-6 4.75e-5 3.69829e-5 -3e-6 4.75e-5 3.77498e-5 0 4.75e-5 3.64269e-5 -3.8455e-6 4.73125e-5 -4.17013e-6 3.77705e-5 5.3e-5 1.01151e-5 3.66289e-5 5.3e-5 3.02457e-6 3.78792e-5 5.3e-5 -2.68697e-5 2.68697e-5 5.6e-5 -1.64491e-5 3.4255e-5 5.3e-5 -3.42559e-5 1.64473e-5 5.6e-5 -2.68701e-5 2.687e-5 5.3e-5 -3.4255e-5 1.6449e-5 5.3e-5 -3.77705e-5 4.17013e-6 5.3e-5 -3.66283e-5 -1.01172e-5 5.3e-5 -3.7879e-5 -3.0262e-6 5.3e-5 -3.02768e-5 -2.29628e-5 5.3e-5 -1.96202e-5 -3.25428e-5 5.3e-5 -6.17144e-6 -3.74955e-5 5.3e-5 2.13193e-5 -3.14558e-5 5.6e-5 8.15724e-6 -3.71141e-5 5.3e-5 1.01049e-6 -3.79863e-5 5.3e-5 3.14527e-5 -2.13239e-5 5.6e-5 2.13227e-5 -3.14535e-5 5.3e-5 3.14548e-5 -2.13207e-5 5.3e-5 3.71146e-5 -8.15494e-6 5.3e-5 3.74951e-5 6.17374e-6 5.3e-5 3.79863e-5 -1.00815e-6 5.3e-5 2.29633e-5 3.02765e-5 5.6e-5 3.25416e-5 1.96221e-5 5.3e-5 2.29611e-5 3.02782e-5 5.3e-5 -4.49309e-6 3.58445e-5 5.3e-5 0 3.77496e-5 5.3e-5 -2.43905e-6 3.72542e-5 5.3e-5 -2.55443e-5 2.55442e-5 5.3e-5 -1.5877e-5 3.24487e-5 5.3e-5 -3.24487e-5 1.5877e-5 5.3e-5 -3.58445e-5 4.49309e-6 5.3e-5 -3.77496e-5 0 5.3e-5 -3.72542e-5 2.43905e-6 5.3e-5 -3.24487e-5 -1.5877e-5 5.3e-5 -3.72542e-5 -2.43905e-6 5.3e-5 -3.58445e-5 -4.49309e-6 5.3e-5 -2.55443e-5 -2.55442e-5 5.3e-5 -1.5877e-5 -3.24487e-5 5.3e-5 -2.43905e-6 -3.72542e-5 5.3e-5 -4.49309e-6 -3.58445e-5 5.3e-5 2.43905e-6 -3.72542e-5 5.3e-5 0 -3.77496e-5 5.3e-5 1.5877e-5 -3.24487e-5 5.3e-5 4.49309e-6 -3.58445e-5 5.3e-5 2.55443e-5 -2.55442e-5 5.3e-5 3.24487e-5 -1.5877e-5 5.3e-5 3.72542e-5 -2.43905e-6 5.3e-5 3.58445e-5 -4.49309e-6 5.3e-5 3.77496e-5 0 5.3e-5 3.72542e-5 2.43905e-6 5.3e-5 3.24487e-5 1.5877e-5 5.3e-5 3.58445e-5 4.49309e-6 5.3e-5 1.5877e-5 3.24487e-5 5.3e-5 2.55443e-5 2.55442e-5 5.3e-5 4.49309e-6 3.58445e-5 5.3e-5 2.43905e-6 3.72542e-5 5.3e-5 -1.55873e-5 1.95458e-5 3.8e-5 -2.25242e-5 1.08471e-5 3.8e-5 -1.95458e-5 1.55872e-5 3.8e-5 -2.43732e-5 5.56302e-6 3.8e-5 2.43732e-5 -5.56302e-6 3.8e-5 1.55873e-5 -1.95458e-5 3.8e-5 2.25242e-5 -1.08471e-5 3.8e-5 1.95458e-5 -1.55872e-5 3.8e-5 -4.49309e-6 3.58445e-5 3.9e-5 -1.58772e-5 -3.24489e-5 3.9e-5 4.49309e-6 3.58445e-5 3.9e-5 -2.55442e-5 -2.55442e-5 3.9e-5 -4.49309e-6 -3.58445e-5 3.9e-5 -3.58445e-5 -4.49309e-6 3.9e-5 4.49309e-6 -3.58445e-5 3.9e-5 2.55442e-5 -2.55442e-5 3.9e-5 3.24489e-5 -1.58772e-5 3.9e-5 3.58445e-5 4.49309e-6 3.9e-5 1.58772e-5 -3.24489e-5 3.9e-5 3.24489e-5 1.58772e-5 3.9e-5 2.55442e-5 2.55442e-5 3.9e-5 1.58772e-5 3.24489e-5 3.9e-5 -1.58772e-5 3.24489e-5 3.9e-5 -2.55442e-5 2.55442e-5 3.9e-5 -3.24489e-5 1.58772e-5 3.9e-5 -3.24489e-5 -1.58772e-5 3.9e-5 -3.58445e-5 4.49309e-6 3.9e-5 3.58445e-5 -4.49309e-6 3.9e-5 -2.9e-5 4.31e-5 -3.35e-5 1.1e-5 4.31e-5 -3e-5 -1.1e-5 4.31e-5 -3e-5 -1.1e-5 4.06e-5 -3e-5 -1.5e-5 4.31e-5 -2.6e-5 -1.5e-5 4.06e-5 -2.6e-5 2.9e-5 4.31e-5 -3.35e-5 1.5e-5 4.31e-5 -2.6e-5 1.1e-5 4.06e-5 -3e-5 2.9e-5 4.31e-5 3.35e-5 1.5e-5 4.31e-5 2.6e-5 1.5e-5 4.06e-5 -2.6e-5 1.1e-5 4.31e-5 3e-5 1.5e-5 4.06e-5 2.6e-5 -1.1e-5 4.31e-5 3e-5 1.1e-5 4.06e-5 3e-5 -2.9e-5 4.31e-5 3.35e-5 -1.5e-5 4.31e-5 2.6e-5 -1.1e-5 4.06e-5 3e-5 -1.5e-5 4.06e-5 2.6e-5 -2.95e-5 4.36e-5 -3.35e-5 2.9e-5 4.36e-5 -3.4e-5 -2.9e-5 4.36e-5 -3.4e-5 -2.925e-5 4.335e-5 -3.375e-5 -2.9e-5 4.36e-5 3.4e-5 -2.95e-5 4.36e-5 3.35e-5 -2.925e-5 4.335e-5 3.375e-5 2.95e-5 4.36e-5 3.35e-5 2.9e-5 4.36e-5 3.4e-5 2.925e-5 4.335e-5 3.375e-5 2.925e-5 4.335e-5 -3.375e-5 2.95e-5 4.36e-5 -3.35e-5 -2.9e-5 6.41e-5 3.35e-5 -7.23205e-6 6.41e-5 10e-7 -7.5e-6 6.41e-5 0 -7.5e-6 5.01e-5 0 -7.23205e-6 6.41e-5 -10e-7 -6.91421e-6 5.01e-5 -1.41421e-6 -6.5e-6 6.41e-5 1.73205e-6 -7.23161e-6 4.01e-5 1.00058e-6 -7.5e-6 4.01e-5 0 -7.5e-6 4.31e-5 0 -5.5e-6 6.41e-5 2e-6 -6.49938e-6 4.01e-5 1.73213e-6 4.5e-6 6.41e-5 1.73205e-6 -4.5e-6 6.41e-5 1.73205e-6 -5.5e-6 5.01e-5 2e-6 5.5e-6 6.41e-5 2e-6 -10e-7 6.41e-5 3.86795e-6 -1.02246e-5 6.41e-5 1.15174e-5 3.76795e-6 6.41e-5 10e-7 -3.76795e-6 6.41e-5 10e-7 -4.08579e-6 5.01e-5 1.41421e-6 3.5e-6 6.41e-5 0 -3.5e-6 6.41e-5 0 3.76795e-6 6.41e-5 -10e-7 -3.76795e-6 6.41e-5 -10e-7 -3.5e-6 5.01e-5 0 4.5e-6 6.41e-5 -1.73205e-6 -4.5e-6 6.41e-5 -1.73205e-6 -3.76839e-6 4.01e-5 -1.00058e-6 -3.5e-6 4.31e-5 0 -3.5e-6 4.01e-5 0 5.5e-6 6.41e-5 -2e-6 -5.5e-6 6.41e-5 -2e-6 -4.50062e-6 4.01e-5 -1.73213e-6 10e-7 6.41e-5 -3.86795e-6 -6.5e-6 6.41e-5 -1.73205e-6 -5.5e-6 5.01e-5 -2e-6 -10e-7 6.41e-5 -7.33205e-6 -10e-7 6.41e-5 -3.86795e-6 -2e-6 6.41e-5 -5.6e-6 -8.97539e-6 6.41e-5 -9.81742e-6 3.5e-6 5.01e-5 0 4.08579e-6 5.01e-5 -1.41421e-6 3.76839e-6 4.01e-5 1.00058e-6 3.5e-6 4.01e-5 0 3.5e-6 4.31e-5 0 4.50062e-6 4.01e-5 1.73213e-6 6.5e-6 6.41e-5 1.73205e-6 5.5e-6 5.01e-5 2e-6 10e-7 6.41e-5 7.33205e-6 7.23205e-6 6.41e-5 10e-7 6.91421e-6 5.01e-5 1.41421e-6 2e-6 6.41e-5 5.6e-6 10e-7 6.41e-5 3.86795e-6 2.9e-5 6.41e-5 -3.35e-5 7.5e-6 6.41e-5 0 8.97539e-6 6.41e-5 1.15174e-5 7.23205e-6 6.41e-5 -10e-7 7.5e-6 5.01e-5 0 6.5e-6 6.41e-5 -1.73205e-6 7.23161e-6 4.01e-5 -1.00058e-6 7.5e-6 4.31e-5 0 7.5e-6 4.01e-5 0 6.49938e-6 4.01e-5 -1.73213e-6 5.5e-6 5.01e-5 -2e-6 1.02246e-5 6.41e-5 -9.81742e-6 -2e-6 5.01e-5 -5.6e-6 -9.99376e-7 5.01e-5 -7.33213e-6 -9.99376e-7 5.01e-5 -3.86787e-6 2e-6 6.41e-5 -5.6e-6 1.62048e-6 5.52205e-5 -4.4278e-6 5e-7 5.41e-5 -3.66351e-6 10e-7 6.41e-5 -7.33205e-6 2e-6 5.56e-5 -5.6e-6 5e-7 5.41e-5 -7.53649e-6 1.62054e-6 5.52205e-5 -6.77212e-6 8.97539e-6 6.41e-5 -9.81742e-6 5e-7 5.31e-5 -7.53649e-6 -10e-7 6.41e-5 7.33205e-6 -2e-6 6.41e-5 5.6e-6 -2e-6 5.56e-5 5.6e-6 -1.62048e-6 5.52205e-5 4.4278e-6 -5e-7 5.41e-5 7.53649e-6 -1.62054e-6 5.52205e-5 6.77212e-6 9.99376e-7 5.01e-5 7.33213e-6 -8.97539e-6 6.41e-5 1.15174e-5 -5e-7 5.31e-5 7.53649e-6 2e-6 5.01e-5 5.6e-6 9.99376e-7 5.01e-5 3.86787e-6 -5e-7 5.41e-5 3.66351e-6 3.04087e-6 6.41e-5 -2.89603e-5 -3.04087e-6 6.41e-5 -2.89603e-5 -1.4e-6 6.41e-5 -2.5e-5 -4.35e-6 6.115e-5 -2.5e-5 1.4e-6 6.41e-5 -2.5e-5 -3.04087e-6 6.41e-5 -2.10397e-5 -4.70503e-6 6.115e-5 -2.3675e-5 7e-6 6.41e-5 -3.05997e-5 -7e-6 6.41e-5 -3.05997e-5 -5.675e-6 6.115e-5 -2.7295e-5 -4.70503e-6 6.115e-5 -2.6325e-5 -2.9e-5 6.41e-5 -3.35e-5 -1.09591e-5 6.41e-5 -2.89603e-5 -7e-6 6.115e-5 -2.765e-5 -1.26e-5 6.41e-5 -2.5e-5 -9.29497e-6 6.115e-5 -2.6325e-5 -8.325e-6 6.115e-5 -2.7295e-5 -1.09591e-5 6.41e-5 -2.10397e-5 -9.65e-6 6.115e-5 -2.5e-5 -1.085e-5 6.41e-5 -1.09e-5 -7e-6 6.41e-5 -1.94003e-5 -8.325e-6 6.115e-5 -2.2705e-5 -9.29497e-6 6.115e-5 -2.3675e-5 3.04087e-6 6.41e-5 -2.10397e-5 -7e-6 6.115e-5 -2.235e-5 7e-6 6.41e-5 -1.94003e-5 -1.02246e-5 6.41e-5 -1.19826e-5 -5.675e-6 6.115e-5 -2.2705e-5 3.04087e-6 6.41e-5 2.10397e-5 -3.04087e-6 6.41e-5 2.10397e-5 -1.4e-6 6.41e-5 2.5e-5 -4.35e-6 6.115e-5 2.5e-5 1.4e-6 6.41e-5 2.5e-5 -3.04087e-6 6.41e-5 2.89603e-5 -4.70503e-6 6.115e-5 2.6325e-5 7e-6 6.41e-5 1.94003e-5 -7e-6 6.41e-5 1.94003e-5 -5.675e-6 6.115e-5 2.2705e-5 -4.70503e-6 6.115e-5 2.3675e-5 -8.97539e-6 6.41e-5 1.36826e-5 -1.09591e-5 6.41e-5 2.10397e-5 -7e-6 6.115e-5 2.235e-5 1.02246e-5 6.41e-5 1.36826e-5 8.97539e-6 6.41e-5 1.36826e-5 -1.26e-5 6.41e-5 2.5e-5 -9.29497e-6 6.115e-5 2.3675e-5 -8.325e-6 6.115e-5 2.2705e-5 -1.09591e-5 6.41e-5 2.89603e-5 -9.65e-6 6.115e-5 2.5e-5 -7e-6 6.41e-5 3.05997e-5 -8.325e-6 6.115e-5 2.7295e-5 -9.29497e-6 6.115e-5 2.6325e-5 3.04087e-6 6.41e-5 2.89603e-5 -7e-6 6.115e-5 2.765e-5 7e-6 6.41e-5 3.05997e-5 -5.675e-6 6.115e-5 2.7295e-5 1.09591e-5 6.41e-5 -2.89603e-5 1.26e-5 6.41e-5 -2.5e-5 9.65e-6 6.115e-5 -2.5e-5 1.09591e-5 6.41e-5 -2.10397e-5 9.29497e-6 6.115e-5 -2.3675e-5 8.325e-6 6.115e-5 -2.7295e-5 9.29497e-6 6.115e-5 -2.6325e-5 7e-6 6.115e-5 -2.765e-5 4.70503e-6 6.115e-5 -2.6325e-5 5.675e-6 6.115e-5 -2.7295e-5 4.35e-6 6.115e-5 -2.5e-5 5.675e-6 6.115e-5 -2.2705e-5 4.70503e-6 6.115e-5 -2.3675e-5 7e-6 6.115e-5 -2.235e-5 -8.97539e-6 6.41e-5 -1.19826e-5 8.97539e-6 6.41e-5 -1.19826e-5 8.325e-6 6.115e-5 -2.2705e-5 1.09591e-5 6.41e-5 2.10397e-5 1.26e-5 6.41e-5 2.5e-5 9.65e-6 6.115e-5 2.5e-5 2.9e-5 6.41e-5 3.35e-5 1.09591e-5 6.41e-5 2.89603e-5 9.29497e-6 6.115e-5 2.6325e-5 1.085e-5 6.41e-5 1.26e-5 8.325e-6 6.115e-5 2.2705e-5 9.29497e-6 6.115e-5 2.3675e-5 7e-6 6.115e-5 2.235e-5 4.70503e-6 6.115e-5 2.3675e-5 5.675e-6 6.115e-5 2.2705e-5 4.35e-6 6.115e-5 2.5e-5 5.675e-6 6.115e-5 2.7295e-5 4.70503e-6 6.115e-5 2.6325e-5 7e-6 6.115e-5 2.765e-5 8.325e-6 6.115e-5 2.7295e-5 -8.35e-6 6.41e-5 1.26e-5 -8.35e-6 5.66e-5 1.26e-5 8.35e-6 6.41e-5 1.26e-5 -8.975e-6 5.66e-5 1.36825e-5 -8.975e-6 5.66e-5 1.15175e-5 -1.085e-5 6.41e-5 1.26e-5 -1.0225e-5 5.66e-5 1.15175e-5 -1.02246e-5 6.41e-5 1.36826e-5 -1.085e-5 5.66e-5 1.26e-5 -1.0225e-5 5.66e-5 1.36825e-5 1.02246e-5 6.41e-5 1.15174e-5 1.085e-5 5.66e-5 1.26e-5 1.0225e-5 5.66e-5 1.36825e-5 1.0225e-5 5.66e-5 1.15175e-5 8.975e-6 5.66e-5 1.15175e-5 8.35e-6 5.66e-5 1.26e-5 8.975e-6 5.66e-5 1.36825e-5 -8.35e-6 6.41e-5 -1.09e-5 -8.35e-6 5.66e-5 -1.09e-5 8.35e-6 6.41e-5 -1.09e-5 -8.975e-6 5.66e-5 -9.81747e-6 -8.975e-6 5.66e-5 -1.19825e-5 -1.0225e-5 5.66e-5 -1.19825e-5 -1.02246e-5 6.41e-5 -9.81742e-6 -1.085e-5 5.66e-5 -1.09e-5 -1.0225e-5 5.66e-5 -9.81747e-6 1.02246e-5 6.41e-5 -1.19826e-5 1.085e-5 6.41e-5 -1.09e-5 1.085e-5 5.66e-5 -1.09e-5 1.0225e-5 5.66e-5 -9.81747e-6 1.0225e-5 5.66e-5 -1.19825e-5 8.975e-6 5.66e-5 -1.19825e-5 8.35e-6 5.66e-5 -1.09e-5 8.975e-6 5.66e-5 -9.81747e-6 2.95e-5 6.36e-5 -3.35e-5 -2.9e-5 6.36e-5 -3.4e-5 2.9e-5 6.36e-5 -3.4e-5 2.925e-5 6.385e-5 -3.375e-5 2.9e-5 6.36e-5 3.4e-5 2.925e-5 6.385e-5 3.375e-5 2.95e-5 6.36e-5 3.35e-5 -2.95e-5 6.36e-5 3.35e-5 -2.925e-5 6.385e-5 3.375e-5 -2.9e-5 6.36e-5 3.4e-5 -2.925e-5 6.385e-5 -3.375e-5 -2.95e-5 6.36e-5 -3.35e-5 1.175e-5 5.36e-5 -3.4e-5 -1.35806e-5 4.91806e-5 -3.4e-5 -1.175e-5 5.36e-5 -3.4e-5 -1.175e-5 5.36e-5 -1.6e-5 -1.35806e-5 5.80194e-5 -3.4e-5 -1.35806e-5 5.80194e-5 -1.6e-5 1.35806e-5 5.80194e-5 -3.4e-5 1.8e-5 5.985e-5 -3.4e-5 -1.8e-5 4.735e-5 -3.4e-5 -1.35806e-5 4.91806e-5 -1.6e-5 -2.24194e-5 4.91806e-5 -3.4e-5 -1.8e-5 4.735e-5 -1.6e-5 -2.425e-5 5.36e-5 -3.4e-5 -2.24194e-5 4.91806e-5 -1.6e-5 -2.24194e-5 5.80194e-5 -3.4e-5 -2.425e-5 5.36e-5 -1.6e-5 -1.8e-5 5.985e-5 -3.4e-5 -2.24194e-5 5.80194e-5 -1.6e-5 -1.8e-5 5.985e-5 -1.6e-5 1.175e-5 5.36e-5 -1.6e-5 1.35806e-5 4.91806e-5 -3.4e-5 1.35806e-5 4.91806e-5 -1.6e-5 1.35806e-5 5.80194e-5 -1.6e-5 2.24194e-5 5.80194e-5 -3.4e-5 1.8e-5 5.985e-5 -1.6e-5 2.425e-5 5.36e-5 -3.4e-5 2.24194e-5 5.80194e-5 -1.6e-5 2.24194e-5 4.91806e-5 -3.4e-5 2.425e-5 5.36e-5 -1.6e-5 1.8e-5 4.735e-5 -3.4e-5 2.24194e-5 4.91806e-5 -1.6e-5 1.8e-5 4.735e-5 -1.6e-5 -2.95e-5 5.36e-5 3.5e-6 -2.95e-5 5.5029e-5 8.24485e-7 -2.95e-5 5.36e-5 1.65e-6 -2.35e-5 5.36e-5 1.65e-6 -2.95e-5 5.17813e-5 4.55e-6 -2.95e-5 5.2171e-5 8.24485e-7 -2.35e-5 5.21716e-5 8.25404e-7 -2.95e-5 5.5029e-5 -8.24485e-7 -2.35e-5 5.50284e-5 8.25404e-7 -2.95e-5 5.54187e-5 4.55e-6 -2.95e-5 5.36e-5 -1.65e-6 -2.35e-5 5.50284e-5 -8.25404e-7 -2.95e-5 5.2171e-5 -8.24485e-7 -2.35e-5 5.36e-5 -1.65e-6 -2.35e-5 5.21716e-5 -8.25404e-7 -2.95e-5 5.54187e-5 6.65e-6 -2.95e-5 5.17813e-5 6.65e-6 -2.95e-5 5.36e-5 7.7e-6 -2.175e-5 5.36e-5 3.5e-6 -2.13227e-5 5.53384e-5 4.42196e-6 -2.16202e-5 5.45779e-5 3.74157e-6 -2.11079e-5 5.15015e-5 5.68595e-6 -2.13813e-5 5.19785e-5 4.2664e-6 -2.13258e-5 5.18675e-5 6.78678e-6 -2.175e-5 5.36e-5 7.7e-6 -2.16219e-5 5.26282e-5 7.46165e-6 -2.11076e-5 5.56988e-5 5.52219e-6 -2.13834e-5 5.52172e-5 6.93889e-6 -1.175e-5 5.36e-5 3.4e-5 1.35806e-5 4.91806e-5 3.4e-5 1.175e-5 5.36e-5 3.4e-5 1.175e-5 5.36e-5 1.6e-5 1.35806e-5 5.80194e-5 3.4e-5 1.35806e-5 5.80194e-5 1.6e-5 -1.35806e-5 5.80194e-5 3.4e-5 -1.8e-5 5.985e-5 3.4e-5 1.8e-5 4.735e-5 3.4e-5 1.35806e-5 4.91806e-5 1.6e-5 2.24194e-5 4.91806e-5 3.4e-5 1.8e-5 4.735e-5 1.6e-5 2.425e-5 5.36e-5 3.4e-5 2.24194e-5 4.91806e-5 1.6e-5 2.24194e-5 5.80194e-5 3.4e-5 2.425e-5 5.36e-5 1.6e-5 1.8e-5 5.985e-5 3.4e-5 2.24194e-5 5.80194e-5 1.6e-5 1.8e-5 5.985e-5 1.6e-5 -1.175e-5 5.36e-5 1.6e-5 -1.35806e-5 4.91806e-5 3.4e-5 -1.35806e-5 4.91806e-5 1.6e-5 -1.35806e-5 5.80194e-5 1.6e-5 -2.24194e-5 5.80194e-5 3.4e-5 -1.8e-5 5.985e-5 1.6e-5 -2.425e-5 5.36e-5 3.4e-5 -2.24194e-5 5.80194e-5 1.6e-5 -2.24194e-5 4.91806e-5 3.4e-5 -2.425e-5 5.36e-5 1.6e-5 -1.8e-5 4.735e-5 3.4e-5 -2.24194e-5 4.91806e-5 1.6e-5 -1.8e-5 4.735e-5 1.6e-5 2.95e-5 5.2171e-5 8.24485e-7 2.95e-5 5.36e-5 1.65e-6 2.35e-5 5.36e-5 1.65e-6 2.95e-5 5.5029e-5 8.24485e-7 2.35e-5 5.50284e-5 8.25404e-7 2.95e-5 5.2171e-5 -8.24485e-7 2.35e-5 5.21716e-5 8.25404e-7 2.95e-5 5.17813e-5 -4.55e-6 2.95e-5 5.36e-5 -1.65e-6 2.35e-5 5.21716e-5 -8.25404e-7 2.95e-5 5.36e-5 -3.5e-6 2.95e-5 5.5029e-5 -8.24485e-7 2.35e-5 5.36e-5 -1.65e-6 2.35e-5 5.50284e-5 -8.25404e-7 2.95e-5 5.54187e-5 -4.55e-6 2.95e-5 5.54187e-5 -6.65e-6 2.95e-5 5.17813e-5 -6.65e-6 2.95e-5 5.36e-5 -7.7e-6 2.175e-5 5.36e-5 -3.5e-6 2.13227e-5 5.53384e-5 -4.42196e-6 2.16202e-5 5.45779e-5 -3.74157e-6 2.11079e-5 5.15015e-5 -5.68595e-6 2.13813e-5 5.19785e-5 -4.2664e-6 2.13258e-5 5.18675e-5 -6.78678e-6 2.175e-5 5.36e-5 -7.7e-6 2.16219e-5 5.26282e-5 -7.46165e-6 2.11076e-5 5.56988e-5 -5.52219e-6 2.13834e-5 5.52172e-5 -6.93889e-6 -7.23161e-6 4.01e-5 -1.00058e-6 -6.91421e-6 4.31e-5 -1.41421e-6 -1.45e-5 4.01e-5 -2.57929e-5 7e-6 4.01e-5 2.235e-5 -7e-6 4.01e-5 2.235e-5 -5.5e-6 4.31e-5 2e-6 -5.5e-6 4.01e-5 1.99969e-6 -4.08579e-6 4.31e-5 1.41421e-6 -4.50062e-6 4.01e-5 1.73213e-6 5.5e-6 4.01e-5 1.99969e-6 1.45e-5 4.01e-5 2.57929e-5 8.325e-6 4.01e-5 2.2705e-5 -3.76839e-6 4.01e-5 1.00058e-6 -5.5e-6 4.31e-5 -2e-6 -5.5e-6 4.01e-5 -1.99969e-6 -6.49938e-6 4.01e-5 -1.73213e-6 3.76839e-6 4.01e-5 -1.00058e-6 4.50062e-6 4.01e-5 -1.73213e-6 5.5e-6 4.01e-5 -1.99969e-6 4.08579e-6 4.31e-5 -1.41421e-6 5.5e-6 4.31e-5 2e-6 6.91421e-6 4.31e-5 1.41421e-6 6.49938e-6 4.01e-5 1.73213e-6 7.23161e-6 4.01e-5 1.00058e-6 5.5e-6 4.31e-5 -2e-6 -7e-6 4.01e-5 -2.235e-5 7e-6 4.01e-5 -2.235e-5 -8.325e-6 4.01e-5 -2.2705e-5 5e-7 5.31e-5 -3.66351e-6 5e-7 5.36e-5 -3.6e-6 9.99376e-7 5.01e-5 -3.86787e-6 1.62105e-6 5.19789e-5 -4.42859e-6 1.45299e-5 5.21784e-5 -4.19351e-6 1.45318e-5 5.50262e-5 -4.19821e-6 1.425e-5 5.36e-5 -3.6e-6 1.48279e-5 5.56e-5 -5.6e-6 2e-6 5.01e-5 -5.6e-6 9.99376e-7 5.01e-5 -7.33213e-6 2e-6 5.16e-5 -5.6e-6 1.62064e-6 5.19794e-5 -6.77198e-6 1.48279e-5 5.16e-5 -5.6e-6 1.45318e-5 5.21737e-5 -7.00164e-6 5e-7 5.36e-5 -7.6e-6 1.45297e-5 5.5021e-5 -7.00705e-6 1.425e-5 5.36e-5 -7.6e-6 -5e-7 5.36e-5 7.6e-6 -1.45297e-5 5.5021e-5 7.00705e-6 -9.99376e-7 5.01e-5 7.33213e-6 -1.62064e-6 5.19794e-5 6.77198e-6 -1.45318e-5 5.21737e-5 7.00164e-6 -1.425e-5 5.36e-5 7.6e-6 -2e-6 5.01e-5 5.6e-6 -2e-6 5.16e-5 5.6e-6 -9.99376e-7 5.01e-5 3.86787e-6 -1.62105e-6 5.19789e-5 4.42859e-6 -1.48279e-5 5.16e-5 5.6e-6 -1.48279e-5 5.56e-5 5.6e-6 -1.45318e-5 5.50262e-5 4.19821e-6 -5e-7 5.31e-5 3.66351e-6 -5e-7 5.36e-5 3.6e-6 -1.45299e-5 5.21784e-5 4.19351e-6 -1.425e-5 5.36e-5 3.6e-6 -4.70503e-6 4.01e-5 -2.6325e-5 -4.35e-6 4.01e-5 -2.5e-5 4.35e-6 4.01e-5 -2.5e-5 -4.70503e-6 4.01e-5 -2.3675e-5 4.70503e-6 4.01e-5 -2.3675e-5 -5.675e-6 4.01e-5 -2.7295e-5 4.70503e-6 4.01e-5 -2.6325e-5 -7e-6 4.01e-5 -2.765e-5 5.675e-6 4.01e-5 -2.7295e-5 -8.325e-6 4.01e-5 -2.7295e-5 -1.07929e-5 4.01e-5 -2.95e-5 7e-6 4.01e-5 -2.765e-5 -9.29497e-6 4.01e-5 -2.6325e-5 -9.65e-6 4.01e-5 -2.5e-5 -9.29497e-6 4.01e-5 -2.3675e-5 -5.675e-6 4.01e-5 -2.2705e-5 5.675e-6 4.01e-5 -2.2705e-5 -4.70503e-6 4.01e-5 2.3675e-5 -4.35e-6 4.01e-5 2.5e-5 4.35e-6 4.01e-5 2.5e-5 -4.70503e-6 4.01e-5 2.6325e-5 4.70503e-6 4.01e-5 2.6325e-5 -5.675e-6 4.01e-5 2.2705e-5 4.70503e-6 4.01e-5 2.3675e-5 5.675e-6 4.01e-5 2.2705e-5 -8.325e-6 4.01e-5 2.2705e-5 -9.29497e-6 4.01e-5 2.3675e-5 -9.65e-6 4.01e-5 2.5e-5 -9.29497e-6 4.01e-5 2.6325e-5 -1.45e-5 4.01e-5 2.57929e-5 -8.325e-6 4.01e-5 2.7295e-5 -7e-6 4.01e-5 2.765e-5 -5.675e-6 4.01e-5 2.7295e-5 7e-6 4.01e-5 2.765e-5 1.07929e-5 4.01e-5 2.95e-5 -1.07929e-5 4.01e-5 2.95e-5 5.675e-6 4.01e-5 2.7295e-5 9.29497e-6 4.01e-5 -2.6325e-5 9.65e-6 4.01e-5 -2.5e-5 1.45e-5 4.01e-5 -2.57929e-5 9.29497e-6 4.01e-5 -2.3675e-5 8.325e-6 4.01e-5 -2.7295e-5 1.07929e-5 4.01e-5 -2.95e-5 8.325e-6 4.01e-5 -2.2705e-5 9.29497e-6 4.01e-5 2.3675e-5 9.65e-6 4.01e-5 2.5e-5 9.29497e-6 4.01e-5 2.6325e-5 8.325e-6 4.01e-5 2.7295e-5 1.53483e-5 5.09483e-5 1.44978e-5 1.425e-5 5.36e-5 1.44978e-5 1.53483e-5 5.62516e-5 1.44978e-5 1.8e-5 4.985e-5 1.44978e-5 1.53483e-5 5.09483e-5 -1.44978e-5 2.06516e-5 5.09483e-5 1.44978e-5 1.8e-5 4.985e-5 -1.44978e-5 2.175e-5 5.36e-5 1.44978e-5 2.06516e-5 5.09483e-5 -1.44978e-5 2.06516e-5 5.62516e-5 1.44978e-5 1.8e-5 5.735e-5 1.44978e-5 2.06516e-5 5.62516e-5 -1.44978e-5 1.8e-5 5.735e-5 -1.44978e-5 1.53483e-5 5.62516e-5 -1.44978e-5 2.175e-5 5.36e-5 -1.44978e-5 1.425e-5 5.36e-5 -1.44978e-5 -1.53483e-5 5.09483e-5 -1.44978e-5 -1.425e-5 5.36e-5 -1.44978e-5 -1.53483e-5 5.62516e-5 -1.44978e-5 -1.8e-5 4.985e-5 -1.44978e-5 -1.53483e-5 5.09483e-5 1.44978e-5 -2.06516e-5 5.09483e-5 -1.44978e-5 -1.8e-5 4.985e-5 1.44978e-5 -2.175e-5 5.36e-5 -1.44978e-5 -2.06516e-5 5.09483e-5 1.44978e-5 -2.06516e-5 5.62516e-5 -1.44978e-5 -1.8e-5 5.735e-5 -1.44978e-5 -2.06516e-5 5.62516e-5 1.44978e-5 -1.8e-5 5.735e-5 1.44978e-5 -1.53483e-5 5.62516e-5 1.44978e-5 -1.425e-5 5.36e-5 1.44978e-5 -2.175e-5 5.36e-5 1.44978e-5 -9.6e-6 5.58489e-5 1.26e-5 9.6e-6 5.58489e-5 1.26e-5 -9.6e-6 5.58489e-5 -1.09e-5 9.6e-6 5.58489e-5 -1.09e-5 2.96833e-5 2.73769e-5 6.43e-5 3.36337e-5 2.80072e-5 6.43e-5 3.50627e-5 3.1743e-5 6.43e-5 3.50627e-5 3.1743e-5 6.4e-5 3.13401e-5 2.96874e-5 6.43e-5 3.22334e-5 3.20223e-5 6.43e-5 3.25421e-5 3.48485e-5 6.43e-5 3.25419e-5 3.48487e-5 6.4e-5 3.24608e-5 3.0597e-5 6.43e-5 3.36335e-5 2.8007e-5 6.4e-5 2.9992e-5 3.02031e-5 6.43e-5 2.71627e-5 3.04824e-5 6.43e-5 2.96835e-5 2.73767e-5 6.4e-5 2.85917e-5 3.42182e-5 6.43e-5 2.71627e-5 3.04824e-5 6.4e-5 3.08853e-5 3.2538e-5 6.43e-5 2.97646e-5 3.16284e-5 6.43e-5 2.85919e-5 3.42184e-5 6.4e-5 3.22334e-5 3.20223e-5 6.25e-5 3.24608e-5 3.0597e-5 6.25e-5 3.08853e-5 3.2538e-5 6.25e-5 2.97646e-5 3.16284e-5 6.25e-5 2.9992e-5 3.02031e-5 6.25e-5 3.13401e-5 2.96874e-5 6.25e-5 2.91377e-5 3.07976e-5 6.2e-5 2.9939e-5 2.94933e-5 6.2e-5 3.07976e-5 3.30877e-5 6.2e-5 2.94933e-5 3.22864e-5 6.2e-5 3.22864e-5 3.27321e-5 6.2e-5 3.30877e-5 3.14278e-5 6.2e-5 2.91377e-5 3.07976e-5 5.99e-5 2.9939e-5 2.94933e-5 5.99e-5 2.94933e-5 3.22864e-5 5.99e-5 3.07976e-5 3.30877e-5 5.99e-5 3.22864e-5 3.27321e-5 5.99e-5 3.30877e-5 3.14278e-5 5.99e-5 3.27321e-5 2.9939e-5 6.2e-5 2.94833e-5 3.08527e-5 5.99e-5 3.01446e-5 2.97766e-5 5.99e-5 3.08527e-5 3.2742e-5 5.99e-5 2.97769e-5 3.20812e-5 5.99e-5 3.20808e-5 3.24488e-5 5.99e-5 3.27421e-5 3.13727e-5 5.99e-5 3.27321e-5 2.9939e-5 5.99e-5 3.24485e-5 3.01442e-5 5.99e-5 3.27421e-5 3.13727e-5 4.43e-5 3.20808e-5 3.24488e-5 4.43e-5 3.13727e-5 2.94834e-5 5.99e-5 3.24485e-5 3.01442e-5 4.43e-5 3.13727e-5 2.94834e-5 4.43e-5 3.14278e-5 2.91377e-5 5.99e-5 3.01446e-5 2.97766e-5 4.43e-5 2.94833e-5 3.08527e-5 4.43e-5 2.97769e-5 3.20812e-5 4.43e-5 3.08527e-5 3.2742e-5 4.43e-5 3.14278e-5 2.91377e-5 6.2e-5 2.73769e-5 -2.96833e-5 6.43e-5 2.80072e-5 -3.36337e-5 6.43e-5 3.1743e-5 -3.50627e-5 6.43e-5 3.1743e-5 -3.50627e-5 6.4e-5 2.96874e-5 -3.13401e-5 6.43e-5 3.20223e-5 -3.22334e-5 6.43e-5 3.48485e-5 -3.25421e-5 6.43e-5 3.48487e-5 -3.25419e-5 6.4e-5 3.0597e-5 -3.24608e-5 6.43e-5 2.8007e-5 -3.36335e-5 6.4e-5 3.02031e-5 -2.9992e-5 6.43e-5 3.04824e-5 -2.71627e-5 6.43e-5 2.73767e-5 -2.96835e-5 6.4e-5 3.42182e-5 -2.85917e-5 6.43e-5 3.04824e-5 -2.71627e-5 6.4e-5 3.2538e-5 -3.08853e-5 6.43e-5 3.16284e-5 -2.97646e-5 6.43e-5 3.42184e-5 -2.85919e-5 6.4e-5 3.20223e-5 -3.22334e-5 6.25e-5 3.0597e-5 -3.24608e-5 6.25e-5 3.2538e-5 -3.08853e-5 6.25e-5 3.16284e-5 -2.97646e-5 6.25e-5 3.02031e-5 -2.9992e-5 6.25e-5 2.96874e-5 -3.13401e-5 6.25e-5 3.07976e-5 -2.91377e-5 6.2e-5 2.94933e-5 -2.9939e-5 6.2e-5 3.30877e-5 -3.07976e-5 6.2e-5 3.22864e-5 -2.94933e-5 6.2e-5 3.27321e-5 -3.22864e-5 6.2e-5 3.14278e-5 -3.30877e-5 6.2e-5 3.07976e-5 -2.91377e-5 5.99e-5 2.94933e-5 -2.9939e-5 5.99e-5 3.22864e-5 -2.94933e-5 5.99e-5 3.30877e-5 -3.07976e-5 5.99e-5 3.27321e-5 -3.22864e-5 5.99e-5 3.14278e-5 -3.30877e-5 5.99e-5 2.9939e-5 -3.27321e-5 6.2e-5 3.08527e-5 -2.94833e-5 5.99e-5 2.97766e-5 -3.01446e-5 5.99e-5 3.2742e-5 -3.08527e-5 5.99e-5 3.20812e-5 -2.97769e-5 5.99e-5 3.24488e-5 -3.20808e-5 5.99e-5 3.13727e-5 -3.27421e-5 5.99e-5 2.9939e-5 -3.27321e-5 5.99e-5 3.01442e-5 -3.24485e-5 5.99e-5 3.13727e-5 -3.27421e-5 4.43e-5 3.24488e-5 -3.20808e-5 4.43e-5 2.94834e-5 -3.13727e-5 5.99e-5 3.01442e-5 -3.24485e-5 4.43e-5 2.94834e-5 -3.13727e-5 4.43e-5 2.91377e-5 -3.14278e-5 5.99e-5 2.97766e-5 -3.01446e-5 4.43e-5 3.08527e-5 -2.94833e-5 4.43e-5 3.20812e-5 -2.97769e-5 4.43e-5 3.2742e-5 -3.08527e-5 4.43e-5 2.91377e-5 -3.14278e-5 6.2e-5 -3.2529e-5 -3.48535e-5 7.23e-5 -2.85809e-5 -3.42094e-5 7.23e-5 -2.71649e-5 -3.04687e-5 7.23e-5 -2.71649e-5 -3.04687e-5 7.2e-5 -3.08803e-5 -3.25372e-5 7.23e-5 -2.99952e-5 -3.01992e-5 7.23e-5 -2.96964e-5 -2.73719e-5 7.23e-5 -2.96965e-5 -2.73718e-5 7.2e-5 -2.97628e-5 -3.16237e-5 7.23e-5 -2.8581e-5 -3.42096e-5 7.2e-5 -3.22302e-5 -3.20262e-5 7.23e-5 -3.50605e-5 -3.17567e-5 7.23e-5 -3.25289e-5 -3.48536e-5 7.2e-5 -3.36445e-5 -2.8016e-5 7.23e-5 -3.50605e-5 -3.17567e-5 7.2e-5 -3.13451e-5 -2.96882e-5 7.23e-5 -3.24626e-5 -3.06017e-5 7.23e-5 -3.36444e-5 -2.80158e-5 7.2e-5 -2.99952e-5 -3.01992e-5 7.05e-5 -2.97628e-5 -3.16237e-5 7.05e-5 -3.13451e-5 -2.96882e-5 7.05e-5 -3.24626e-5 -3.06017e-5 7.05e-5 -3.22302e-5 -3.20262e-5 7.05e-5 -3.08803e-5 -3.25372e-5 7.05e-5 -3.30866e-5 -3.14347e-5 7e-5 -3.22808e-5 -3.27362e-5 7e-5 -3.14347e-5 -2.91388e-5 7e-5 -3.27362e-5 -2.99446e-5 7e-5 -2.99446e-5 -2.94892e-5 7e-5 -2.91388e-5 -3.07907e-5 7e-5 -3.30866e-5 -3.14347e-5 6.79e-5 -3.22808e-5 -3.27362e-5 6.79e-5 -3.27362e-5 -2.99446e-5 6.79e-5 -3.14347e-5 -2.91388e-5 6.79e-5 -2.99446e-5 -2.94892e-5 6.79e-5 -2.91388e-5 -3.07907e-5 6.79e-5 -2.94892e-5 -3.22808e-5 7e-5 -3.27412e-5 -3.13784e-5 6.79e-5 -3.20761e-5 -3.24522e-5 6.79e-5 -3.13784e-5 -2.94843e-5 6.79e-5 -3.24519e-5 -3.01489e-5 6.79e-5 -3.01493e-5 -2.97732e-5 6.79e-5 -2.94842e-5 -3.0847e-5 6.79e-5 -2.94892e-5 -3.22808e-5 6.79e-5 -2.97735e-5 -3.20765e-5 6.79e-5 -2.94842e-5 -3.0847e-5 5.23e-5 -3.01493e-5 -2.97732e-5 5.23e-5 -3.0847e-5 -3.27411e-5 6.79e-5 -2.97735e-5 -3.20765e-5 5.23e-5 -3.0847e-5 -3.27411e-5 5.23e-5 -3.07907e-5 -3.30866e-5 6.79e-5 -3.20761e-5 -3.24522e-5 5.23e-5 -3.27412e-5 -3.13784e-5 5.23e-5 -3.24519e-5 -3.01489e-5 5.23e-5 -3.13784e-5 -2.94843e-5 5.23e-5 -3.07907e-5 -3.30866e-5 7e-5 -3.2529e-5 2.73719e-5 7.23e-5 -2.85809e-5 2.8016e-5 7.23e-5 -2.71649e-5 3.17567e-5 7.23e-5 -2.71649e-5 3.17567e-5 7.2e-5 -3.08803e-5 2.96882e-5 7.23e-5 -2.99952e-5 3.20262e-5 7.23e-5 -2.96964e-5 3.48535e-5 7.23e-5 -2.96965e-5 3.48536e-5 7.2e-5 -2.97628e-5 3.06017e-5 7.23e-5 -2.8581e-5 2.80158e-5 7.2e-5 -3.22302e-5 3.01992e-5 7.23e-5 -3.50605e-5 3.04687e-5 7.23e-5 -3.25289e-5 2.73718e-5 7.2e-5 -3.36445e-5 3.42094e-5 7.23e-5 -3.50605e-5 3.04687e-5 7.2e-5 -3.13451e-5 3.25372e-5 7.23e-5 -3.24626e-5 3.16237e-5 7.23e-5 -3.36444e-5 3.42096e-5 7.2e-5 -2.99952e-5 3.20262e-5 7.05e-5 -2.97628e-5 3.06017e-5 7.05e-5 -3.13451e-5 3.25372e-5 7.05e-5 -3.24626e-5 3.16237e-5 7.05e-5 -3.22302e-5 3.01992e-5 7.05e-5 -3.08803e-5 2.96882e-5 7.05e-5 -3.30866e-5 3.07907e-5 7e-5 -3.22808e-5 2.94892e-5 7e-5 -3.14347e-5 3.30866e-5 7e-5 -3.27362e-5 3.22808e-5 7e-5 -2.99446e-5 3.27362e-5 7e-5 -2.91388e-5 3.14347e-5 7e-5 -3.30866e-5 3.07907e-5 6.79e-5 -3.22808e-5 2.94892e-5 6.79e-5 -3.27362e-5 3.22808e-5 6.79e-5 -3.14347e-5 3.30866e-5 6.79e-5 -2.99446e-5 3.27362e-5 6.79e-5 -2.91388e-5 3.14347e-5 6.79e-5 -2.94892e-5 2.99446e-5 7e-5 -3.27412e-5 3.0847e-5 6.79e-5 -3.20761e-5 2.97732e-5 6.79e-5 -3.13784e-5 3.27411e-5 6.79e-5 -3.24519e-5 3.20765e-5 6.79e-5 -3.01493e-5 3.24522e-5 6.79e-5 -2.94842e-5 3.13784e-5 6.79e-5 -2.94892e-5 2.99446e-5 6.79e-5 -2.97735e-5 3.01489e-5 6.79e-5 -2.94842e-5 3.13784e-5 5.23e-5 -3.01493e-5 3.24522e-5 5.23e-5 -3.0847e-5 2.94843e-5 6.79e-5 -2.97735e-5 3.01489e-5 5.23e-5 -3.0847e-5 2.94843e-5 5.23e-5 -3.07907e-5 2.91388e-5 6.79e-5 -3.20761e-5 2.97732e-5 5.23e-5 -3.27412e-5 3.0847e-5 5.23e-5 -3.24519e-5 3.20765e-5 5.23e-5 -3.13784e-5 3.27411e-5 5.23e-5 -3.07907e-5 2.91388e-5 7e-5 -1.83431e-5 3.6e-5 -3.4e-5 2.35e-5 3.85e-5 -3.4e-5 -2.35e-5 3.85e-5 -3.4e-5 -2.35e-5 3.85e-5 -5.4e-5 -1.98739e-5 3.56955e-5 -3.4e-5 -3.85e-5 2.35e-5 -3.4e-5 -3.31213e-5 2.88787e-5 -3.9e-5 -2.78787e-5 3.41213e-5 -4.84142e-5 -2.88787e-5 3.31213e-5 -3.9e-5 -2.78787e-5 3.41213e-5 -3.95858e-5 -2.74645e-5 3.45355e-5 -4.1e-5 -2.74645e-5 3.45355e-5 -4.7e-5 2.11716e-5 3.48284e-5 -3.4e-5 3.85e-5 2.35e-5 -3.4e-5 2.35e-5 3.85e-5 -5.4e-5 1.98739e-5 3.56955e-5 -3.4e-5 1.83431e-5 3.6e-5 -3.4e-5 10e-6 3.6e-5 -3.4e-5 -10e-6 3.6e-5 -3.4e-5 3.6e-5 -1.83431e-5 -3.4e-5 3.85e-5 -2.35e-5 -3.4e-5 3.85e-5 2.35e-5 -5.4e-5 3.48283e-5 -7.17174e-6 -3.4e-5 3.46997e-5 0 -3.4e-5 3.6e-5 10e-6 -3.4e-5 3.6e-5 -10e-6 -3.4e-5 3.6e-5 1.83431e-5 -3.4e-5 3.56955e-5 1.98739e-5 -3.4e-5 3.48284e-5 2.11716e-5 -3.4e-5 1.98739e-5 -3.56955e-5 -3.4e-5 2.35e-5 -3.85e-5 -3.4e-5 3.85e-5 -2.35e-5 -5.4e-5 2.11716e-5 -3.48284e-5 -3.4e-5 3.48284e-5 -2.11716e-5 -3.4e-5 3.56955e-5 -1.98739e-5 -3.4e-5 1.83431e-5 -3.6e-5 -3.4e-5 -2.35e-5 -3.85e-5 -3.4e-5 2.35e-5 -3.85e-5 -5.4e-5 -2.11716e-5 -3.48284e-5 -3.4e-5 -3.85e-5 -2.35e-5 -3.4e-5 -2.35e-5 -3.85e-5 -5.4e-5 -1.98739e-5 -3.56955e-5 -3.4e-5 -1.83431e-5 -3.6e-5 -3.4e-5 -10e-6 -3.6e-5 -3.4e-5 10e-6 -3.6e-5 -3.4e-5 -3.6e-5 1.83431e-5 -3.4e-5 -3.85e-5 -2.35e-5 -5.4e-5 -3.48283e-5 7.17174e-6 -3.4e-5 -3.46997e-5 0 -3.4e-5 -3.6e-5 -10e-6 -3.4e-5 -3.6e-5 10e-6 -3.4e-5 -3.6e-5 -1.83431e-5 -3.4e-5 -3.56955e-5 -1.98739e-5 -3.4e-5 -3.48284e-5 -2.11716e-5 -3.4e-5 -3.48284e-5 2.11716e-5 -3.4e-5 -2.11716e-5 3.48284e-5 -3.4e-5 -3.56955e-5 1.98739e-5 -3.4e-5 -3.85e-5 2.35e-5 -5.4e-5 -3.41213e-5 2.78787e-5 -3.95858e-5 -4.24192e-6 2.72569e-5 -3.4e-5 -2.26314e-6 2.92379e-5 -3.4e-5 -3.2e-6 3.15e-5 -3.4e-5 -3.2e-6 3.15e-5 -5.048e-5 -6e-6 3.15e-5 -3.4e-5 -2.26314e-6 3.37621e-5 -3.4e-5 -2.26274e-6 3.37627e-5 -5.048e-5 0 2.83003e-5 -3.4e-5 -2.26274e-6 2.92373e-5 -5.048e-5 4.24192e-6 2.72569e-5 -3.4e-5 2.26314e-6 2.92379e-5 -3.4e-5 0 2.83e-5 -5.048e-5 6e-6 3.15e-5 -3.4e-5 3.2e-6 3.15e-5 -3.4e-5 2.26274e-6 2.92373e-5 -5.048e-5 6e-6 3.2e-5 -3.4e-5 2.26314e-6 3.37621e-5 -3.4e-5 3.2e-6 3.15e-5 -5.048e-5 7.17174e-6 3.48283e-5 -3.4e-5 0 3.46997e-5 -3.4e-5 2.26274e-6 3.37627e-5 -5.048e-5 -7.17174e-6 3.48283e-5 -3.4e-5 0 3.47e-5 -5.048e-5 -6e-6 3.2e-5 -3.4e-5 2.72569e-5 4.24192e-6 -3.4e-5 2.92379e-5 2.26314e-6 -3.4e-5 3.15e-5 3.2e-6 -3.4e-5 3.15e-5 3.2e-6 -5.048e-5 3.48283e-5 7.17174e-6 -3.4e-5 3.37621e-5 2.26314e-6 -3.4e-5 3.37627e-5 2.26274e-6 -5.048e-5 3.2e-5 6e-6 -3.4e-5 2.55003e-5 0 -3.4e-5 2.83003e-5 0 -3.4e-5 2.92373e-5 2.26274e-6 -5.048e-5 2.72569e-5 -4.24192e-6 -3.4e-5 2.92379e-5 -2.26314e-6 -3.4e-5 2.83e-5 0 -5.048e-5 3.15e-5 -3.2e-6 -3.4e-5 2.92373e-5 -2.26274e-6 -5.048e-5 3.15e-5 -6e-6 -3.4e-5 3.37621e-5 -2.26314e-6 -3.4e-5 3.15e-5 -3.2e-6 -5.048e-5 3.37627e-5 -2.26274e-6 -5.048e-5 3.2e-5 -6e-6 -3.4e-5 3.47e-5 0 -5.048e-5 4.24192e-6 -2.72569e-5 -3.4e-5 2.26314e-6 -2.92379e-5 -3.4e-5 3.2e-6 -3.15e-5 -3.4e-5 3.2e-6 -3.15e-5 -5.048e-5 6e-6 -3.15e-5 -3.4e-5 2.26314e-6 -3.37621e-5 -3.4e-5 2.26274e-6 -3.37627e-5 -5.048e-5 0 -2.83003e-5 -3.4e-5 2.26274e-6 -2.92373e-5 -5.048e-5 -4.24192e-6 -2.72569e-5 -3.4e-5 -2.26314e-6 -2.92379e-5 -3.4e-5 0 -2.83e-5 -5.048e-5 -6e-6 -3.15e-5 -3.4e-5 -3.2e-6 -3.15e-5 -3.4e-5 -2.26274e-6 -2.92373e-5 -5.048e-5 -6e-6 -3.2e-5 -3.4e-5 -2.26314e-6 -3.37621e-5 -3.4e-5 -3.2e-6 -3.15e-5 -5.048e-5 -7.17174e-6 -3.48283e-5 -3.4e-5 0 -3.46997e-5 -3.4e-5 -2.26274e-6 -3.37627e-5 -5.048e-5 7.17174e-6 -3.48283e-5 -3.4e-5 0 -3.47e-5 -5.048e-5 6e-6 -3.2e-5 -3.4e-5 -2.72569e-5 -4.24192e-6 -3.4e-5 -2.92379e-5 -2.26314e-6 -3.4e-5 -3.15e-5 -3.2e-6 -3.4e-5 -3.15e-5 -3.2e-6 -5.048e-5 -3.48283e-5 -7.17174e-6 -3.4e-5 -3.37621e-5 -2.26314e-6 -3.4e-5 -3.37627e-5 -2.26274e-6 -5.048e-5 -3.2e-5 -6e-6 -3.4e-5 -2.55003e-5 0 -3.4e-5 -2.83003e-5 0 -3.4e-5 -2.92373e-5 -2.26274e-6 -5.048e-5 -2.72569e-5 4.24192e-6 -3.4e-5 -2.92379e-5 2.26314e-6 -3.4e-5 -2.83e-5 0 -5.048e-5 -3.15e-5 3.2e-6 -3.4e-5 -2.92373e-5 2.26274e-6 -5.048e-5 -3.15e-5 6e-6 -3.4e-5 -3.37621e-5 2.26314e-6 -3.4e-5 -3.15e-5 3.2e-6 -5.048e-5 -3.37627e-5 2.26274e-6 -5.048e-5 -3.2e-5 6e-6 -3.4e-5 -3.47e-5 0 -5.048e-5 -2.58787e-5 3.01213e-5 -3.9e-5 -1.98739e-5 3.56955e-5 -5.3e-5 -2.11716e-5 3.48284e-5 -5.3e-5 -2.44645e-5 3.15355e-5 -4.1e-5 -2.48787e-5 3.11213e-5 -3.95858e-5 -3.48284e-5 2.11716e-5 -5.3e-5 -3.15355e-5 2.44645e-5 -4.7e-5 -3.01213e-5 2.58787e-5 -3.9e-5 -3.11213e-5 2.48787e-5 -3.95858e-5 -3.15355e-5 2.44645e-5 -4.1e-5 -3.56955e-5 1.98739e-5 -5.3e-5 -3.6e-5 10e-6 -5.3e-5 -3.6e-5 1.83431e-5 -5.3e-5 -3.48283e-5 7.17174e-6 -5.3e-5 -3.15e-5 6e-6 -5.3e-5 -3.2e-5 6e-6 -5.3e-5 -2.72576e-5 4.24239e-6 -5.3e-5 -2.55e-5 0 -5.3e-5 -3.15e-5 -6e-6 -3.4e-5 -2.72576e-5 -4.24239e-6 -5.3e-5 -3.2e-5 -6e-6 -5.3e-5 -3.15e-5 -6e-6 -5.3e-5 -3.48283e-5 -7.17174e-6 -5.3e-5 -3.6e-5 -1.83431e-5 -5.3e-5 -3.6e-5 -10e-6 -5.3e-5 -3.56955e-5 -1.98739e-5 -5.3e-5 -3.48284e-5 -2.11716e-5 -5.3e-5 -2.11716e-5 -3.48284e-5 -5.3e-5 -1.98739e-5 -3.56955e-5 -5.3e-5 -10e-6 -3.6e-5 -5.3e-5 -1.83431e-5 -3.6e-5 -5.3e-5 -7.17174e-6 -3.48283e-5 -5.3e-5 -6e-6 -3.15e-5 -5.3e-5 -6e-6 -3.2e-5 -5.3e-5 0 -2.55003e-5 -3.4e-5 -4.24239e-6 -2.72576e-5 -5.3e-5 0 -2.55e-5 -5.3e-5 4.24239e-6 -2.72576e-5 -5.3e-5 6e-6 -3.2e-5 -5.3e-5 6e-6 -3.15e-5 -5.3e-5 7.17174e-6 -3.48283e-5 -5.3e-5 1.83431e-5 -3.6e-5 -5.3e-5 10e-6 -3.6e-5 -5.3e-5 1.98739e-5 -3.56955e-5 -5.3e-5 2.11716e-5 -3.48284e-5 -5.3e-5 3.48284e-5 -2.11716e-5 -5.3e-5 3.56955e-5 -1.98739e-5 -5.3e-5 3.6e-5 -10e-6 -5.3e-5 3.6e-5 -1.83431e-5 -5.3e-5 3.48283e-5 -7.17174e-6 -5.3e-5 3.15e-5 -6e-6 -5.3e-5 3.2e-5 -6e-6 -5.3e-5 2.72576e-5 -4.24239e-6 -5.3e-5 2.55e-5 0 -5.3e-5 3.15e-5 6e-6 -3.4e-5 2.72576e-5 4.24239e-6 -5.3e-5 3.2e-5 6e-6 -5.3e-5 3.15e-5 6e-6 -5.3e-5 3.48283e-5 7.17174e-6 -5.3e-5 3.6e-5 1.83431e-5 -5.3e-5 3.6e-5 10e-6 -5.3e-5 3.56955e-5 1.98739e-5 -5.3e-5 3.48284e-5 2.11716e-5 -5.3e-5 2.11716e-5 3.48284e-5 -5.3e-5 1.98739e-5 3.56955e-5 -5.3e-5 10e-6 3.6e-5 -5.3e-5 1.83431e-5 3.6e-5 -5.3e-5 7.17174e-6 3.48283e-5 -5.3e-5 6e-6 3.15e-5 -5.3e-5 6e-6 3.2e-5 -5.3e-5 0 2.55003e-5 -3.4e-5 4.24239e-6 2.72576e-5 -5.3e-5 0 2.55e-5 -5.3e-5 -4.24239e-6 2.72576e-5 -5.3e-5 -6e-6 3.2e-5 -5.3e-5 -6e-6 3.15e-5 -5.3e-5 -7.17174e-6 3.48283e-5 -5.3e-5 -1.83431e-5 3.6e-5 -5.3e-5 -10e-6 3.6e-5 -5.3e-5 -4.75095e-6 3.62523e-5 -5.4e-5 -6.72e-6 3.15e-5 -5.4e-5 -4.75095e-6 2.67477e-5 -5.4e-5 0 3.82197e-5 -5.4e-5 4.75095e-6 3.62523e-5 -5.4e-5 6.72e-6 3.15e-5 -5.4e-5 4.75095e-6 2.67477e-5 -5.4e-5 0 2.47803e-5 -5.4e-5 3.62523e-5 4.75095e-6 -5.4e-5 3.15e-5 6.72e-6 -5.4e-5 -3.15e-5 6.72e-6 -5.4e-5 2.67477e-5 4.75095e-6 -5.4e-5 -4.65757e-6 1.63017e-5 -5.4e-5 -3.8097e-6 1.76586e-5 -5.4e-5 -3.85806e-6 1.62738e-5 -5.4e-5 -3.43412e-6 1.69523e-5 -5.4e-5 3.82197e-5 0 -5.4e-5 3.62523e-5 -4.75095e-6 -5.4e-5 3.15e-5 -6.72e-6 -5.4e-5 -2.67477e-5 -4.75095e-6 -5.4e-5 2.67477e-5 -4.75095e-6 -5.4e-5 -3.15e-5 -6.72e-6 -5.4e-5 -2.47803e-5 0 -5.4e-5 2.47803e-5 0 -5.4e-5 -1.61802e-5 4.23363e-6 -5.4e-5 -1.73802e-5 3.54081e-6 -5.4e-5 -1.65802e-5 3.54081e-6 -5.4e-5 -1.65802e-5 4.92645e-6 -5.4e-5 4.75095e-6 -3.62523e-5 -5.4e-5 6.72e-6 -3.15e-5 -5.4e-5 4.75095e-6 -2.67477e-5 -5.4e-5 0 -3.82197e-5 -5.4e-5 -4.75095e-6 -3.62523e-5 -5.4e-5 -6.72e-6 -3.15e-5 -5.4e-5 -4.75095e-6 -2.67477e-5 -5.4e-5 0 -2.47803e-5 -5.4e-5 -3.62523e-5 -4.75095e-6 -5.4e-5 -3.82197e-5 0 -5.4e-5 -3.62523e-5 4.75095e-6 -5.4e-5 -1.73802e-5 4.92645e-6 -5.4e-5 -2.67477e-5 4.75095e-6 -5.4e-5 -1.77802e-5 4.23363e-6 -5.4e-5 -2.88787e-5 3.31213e-5 -4.9e-5 -5.03315e-6 1.70081e-5 -5.4e-5 -4.60921e-6 1.76865e-5 -5.4e-5 -3.31213e-5 2.88787e-5 -4.9e-5 -3.41213e-5 2.78787e-5 -4.84142e-5 -3.45355e-5 2.74645e-5 -4.7e-5 -3.45355e-5 2.74645e-5 -4.1e-5 -1.61802e-5 4.23363e-6 -4.775e-5 -1.65802e-5 4.92645e-6 -4.775e-5 -1.65802e-5 3.54081e-6 -4.775e-5 -1.73802e-5 3.54081e-6 -4.775e-5 -1.77802e-5 4.23363e-6 -4.775e-5 -1.73802e-5 4.92645e-6 -4.775e-5 -3.85806e-6 1.62738e-5 -4.775e-5 -3.43412e-6 1.69523e-5 -4.775e-5 -4.65757e-6 1.63017e-5 -4.775e-5 -5.03315e-6 1.70081e-5 -4.775e-5 -4.60921e-6 1.76865e-5 -4.775e-5 -3.8097e-6 1.76586e-5 -4.775e-5 -1.93185e-5 5.17638e-6 -5.3e-5 -1.88134e-5 6.7865e-6 -5.3e-5 -1.88134e-5 6.7865e-6 -4.775e-5 -1.72554e-5 8.48906e-6 -5.3e-5 -1.72564e-5 8.48858e-6 -4.775e-5 -1.96861e-5 3.52941e-6 -5.3e-5 -1.93185e-5 5.17638e-6 -4.775e-5 -1.91881e-5 1.27594e-6 -5.3e-5 -1.96861e-5 3.52941e-6 -4.775e-5 -1.72407e-5 0 -5.3e-5 -1.91887e-5 1.27686e-6 -4.775e-5 -1.56251e-5 8.80514e-7 -5.3e-5 -1.72408e-5 0 -4.775e-5 -1.47902e-5 2.5e-6 -5.3e-5 -1.56245e-5 8.81091e-7 -4.775e-5 -1.44889e-5 3.88229e-6 -5.3e-5 -1.47902e-5 2.5e-6 -4.775e-5 -1.40587e-5 5.23004e-6 -5.3e-5 -1.44889e-5 3.88229e-6 -4.775e-5 -1.3972e-5 7.04999e-6 -5.3e-5 -1.40587e-5 5.23004e-6 -4.775e-5 -1.49525e-5 8.58291e-6 -5.3e-5 -1.39718e-5 7.04921e-6 -4.775e-5 -1.49525e-5 8.58303e-6 -4.775e-5 -5.17638e-6 1.93185e-5 -5.3e-5 -3.52941e-6 1.96861e-5 -5.3e-5 -3.52941e-6 1.96861e-5 -4.775e-5 -1.27594e-6 1.91881e-5 -5.3e-5 -1.27686e-6 1.91887e-5 -4.775e-5 -6.7865e-6 1.88134e-5 -5.3e-5 -5.17638e-6 1.93185e-5 -4.775e-5 -8.48906e-6 1.72554e-5 -5.3e-5 -6.7865e-6 1.88134e-5 -4.775e-5 -8.58291e-6 1.49525e-5 -5.3e-5 -8.48858e-6 1.72564e-5 -4.775e-5 -7.04999e-6 1.3972e-5 -5.3e-5 -8.58303e-6 1.49525e-5 -4.775e-5 -5.23004e-6 1.40587e-5 -5.3e-5 -7.04921e-6 1.39718e-5 -4.775e-5 -3.88229e-6 1.44889e-5 -5.3e-5 -5.23004e-6 1.40587e-5 -4.775e-5 -2.5e-6 1.47902e-5 -5.3e-5 -3.88229e-6 1.44889e-5 -4.775e-5 -8.80514e-7 1.56251e-5 -5.3e-5 -2.5e-6 1.47902e-5 -4.775e-5 0 1.72407e-5 -5.3e-5 -8.81091e-7 1.56245e-5 -4.775e-5 0 1.72408e-5 -4.775e-5 -3.01213e-5 2.58787e-5 -4.9e-5 -3.11213e-5 2.48787e-5 -4.84142e-5 -2.44645e-5 3.15355e-5 -4.7e-5 -2.58787e-5 3.01213e-5 -4.9e-5 -2.48787e-5 3.11213e-5 -4.84142e-5 -1.29975e-6 1.99775e-5 -4.775e-5 -1.29975e-6 1.99775e-5 -4.675e-5 0 2.00203e-5 -4.675e-5 -2.60291e-6 1.98491e-5 -4.675e-5 0 2.00203e-5 -4.775e-5 0 1.16769e-5 -4.675e-5 -3.51901e-6 1.62813e-5 -4.675e-5 -3.89489e-6 1.96358e-5 -4.675e-5 -5.17015e-6 1.93385e-5 -4.675e-5 -3.52653e-6 1.76873e-5 -4.675e-5 -2.60291e-6 1.98491e-5 -4.775e-5 0 1.16769e-5 -4.775e-5 -1.16583e-5 0 -4.675e-5 -1.62544e-5 4.95936e-6 -4.675e-5 -1.79381e-5 8.86013e-6 -4.675e-5 -1.84785e-5 7.66738e-6 -4.675e-5 -1.73208e-5 1.0015e-5 -4.675e-5 -1.66293e-5 1.1127e-5 -4.675e-5 -1.58666e-5 1.21914e-5 -4.675e-5 -1.50358e-5 1.32036e-5 -4.675e-5 -1.41407e-5 1.41593e-5 -4.675e-5 -1.3185e-5 1.50545e-5 -4.675e-5 -1.21727e-5 1.58852e-5 -4.675e-5 -1.11083e-5 1.66479e-5 -4.675e-5 -9.99635e-6 1.73394e-5 -4.675e-5 -8.8415e-6 1.79567e-5 -4.675e-5 -7.64876e-6 1.84971e-5 -4.675e-5 -4.94074e-6 1.62731e-5 -4.675e-5 -4.2503e-6 1.59817e-5 -4.675e-5 -1.16583e-5 0 -4.775e-5 -4.94074e-6 1.62731e-5 -4.775e-5 -3.89489e-6 1.96358e-5 -4.775e-5 -3.52653e-6 1.76873e-5 -4.775e-5 -3.52681e-6 1.62734e-5 -4.775e-5 -1.9991e-5 0 -4.675e-5 -1.99589e-5 1.31837e-6 -4.675e-5 -1.98305e-5 2.62153e-6 -4.675e-5 -1.96172e-5 3.91351e-6 -4.675e-5 -1.76687e-5 3.54515e-6 -4.675e-5 -1.69782e-5 3.25376e-6 -4.675e-5 -1.62469e-5 3.55334e-6 -4.675e-5 -1.9991e-5 0 -4.775e-5 -1.62547e-5 3.54549e-6 -4.775e-5 -1.79381e-5 8.86013e-6 -4.775e-5 -1.84785e-5 7.66738e-6 -4.775e-5 -1.62544e-5 4.95936e-6 -4.775e-5 -1.73208e-5 1.0015e-5 -4.775e-5 -1.66293e-5 1.1127e-5 -4.775e-5 -1.58666e-5 1.21914e-5 -4.775e-5 -1.50358e-5 1.32036e-5 -4.775e-5 -1.41407e-5 1.41593e-5 -4.775e-5 -1.3185e-5 1.50545e-5 -4.775e-5 -1.21727e-5 1.58852e-5 -4.775e-5 -1.11083e-5 1.66479e-5 -4.775e-5 -9.99635e-6 1.73394e-5 -4.775e-5 -8.8415e-6 1.79567e-5 -4.775e-5 -7.64876e-6 1.84971e-5 -4.775e-5 -2.00017e-5 0 -4.775e-5 -2.00017e-5 0 -4.675e-5 -1.99589e-5 1.31837e-6 -4.775e-5 -1.98305e-5 2.62153e-6 -4.775e-5 -1.96172e-5 3.91351e-6 -4.775e-5 -1.93199e-5 5.18877e-6 -4.775e-5 -1.76687e-5 3.54515e-6 -4.775e-5 -1.93199e-5 5.18877e-6 -4.675e-5 -1.89397e-5 6.44184e-6 -4.675e-5 -1.76622e-5 4.96544e-6 -4.675e-5 -1.79602e-5 4.26935e-6 -4.675e-5 -1.89397e-5 6.44184e-6 -4.775e-5 -1.76683e-5 4.95908e-6 -4.775e-5 -6.42322e-6 1.89584e-5 -4.675e-5 -5.23224e-6 1.69973e-5 -4.675e-5 -6.42322e-6 1.89584e-5 -4.775e-5 -4.93431e-6 1.76934e-5 -4.675e-5 -5.17015e-6 1.93385e-5 -4.775e-5 -4.9404e-6 1.7687e-5 -4.775e-5 -2.15e-5 6.71e-5 1.85e-5 -2.15e-5 9.09787e-5 -8e-6 -2.15e-5 6.71e-5 -8e-6 -2e-5 6.71e-5 -8e-6 -2.19397e-5 6.60397e-5 -8e-6 -2.08787e-5 6.49787e-5 -8e-6 -2.15e-5 9.09787e-5 1.85e-5 -2.12713e-5 9.21266e-5 1.85e-5 -2.12713e-5 9.21266e-5 -8e-6 -2e-5 9.09787e-5 -8e-6 -2e-5 9.09787e-5 1.85e-5 -2.19397e-5 6.60397e-5 1.85e-5 -2.08787e-5 6.49787e-5 1.85e-5 -2e-5 6.71e-5 1.85e-5 -1.15e-5 1.02221e-4 -8e-6 -2.06213e-5 9.31e-5 -8e-6 -2.06213e-5 9.31e-5 1.85e-5 -1.15e-5 1.02221e-4 1.85e-5 -1.04393e-5 1.01161e-4 1.85e-5 -1.95607e-5 9.20393e-5 1.85e-5 -1.95607e-5 9.20393e-5 -8e-6 -1.98857e-5 9.15526e-5 -8e-6 -1.05808e-5 1.02848e-4 1.85e-5 -1.05266e-5 1.02871e-4 -8e-6 -1.04393e-5 1.01161e-4 -8e-6 -9.70695e-6 1.031e-4 -1.37069e-5 -5.5e-6 1.031e-4 -1.4e-5 -9e-6 1.031e-4 -1.4e-5 -9e-6 1.016e-4 -1.4e-5 -9.70695e-6 1.016e-4 -1.37069e-5 4.79305e-6 1.031e-4 -1.42931e-5 -4.79305e-6 1.031e-4 -1.42931e-5 -5.5e-6 1.016e-4 -1.4e-5 5.5e-6 1.031e-4 -1.4e-5 4.5e-6 1.031e-4 -1.5e-5 -4.5e-6 1.031e-4 -1.5e-5 -4.79305e-6 1.016e-4 -1.42931e-5 4.5e-6 1.031e-4 -1.705e-5 -4.5e-6 1.031e-4 -1.705e-5 -4.5e-6 1.016e-4 -1.5e-5 4.5e-6 1.02221e-4 -1.91713e-5 -4.5e-6 1.02221e-4 -1.91713e-5 -4.5e-6 1.016e-4 -1.705e-5 4.5e-6 1.016e-4 -1.705e-5 4.5e-6 1.0116e-4 -1.81103e-5 4.5e-6 1.016e-4 -1.5e-5 4.79305e-6 1.016e-4 -1.42931e-5 7.5e-6 1.031e-4 -1.4e-5 5.5e-6 1.016e-4 -1.4e-5 -7.5e-6 1.031e-4 1.4e-5 8.20695e-6 1.031e-4 -1.42931e-5 7.5e-6 1.016e-4 -1.4e-5 -9e-6 1.031e-4 -8e-6 -8.13432e-6 1.031e-4 -8.49976e-6 -8.13432e-6 1.031e-4 -9.50024e-6 -9e-6 1.031e-4 -10e-6 -9.70695e-6 1.031e-4 -1.02931e-5 -10e-6 1.031e-4 -1.1e-5 -10e-6 1.031e-4 -1.3e-5 5.5e-6 1.031e-4 1.4e-5 8.5e-6 1.031e-4 -1.5e-5 8.20695e-6 1.016e-4 -1.42931e-5 -5.5e-6 1.031e-4 1.4e-5 9.37868e-6 1.031e-4 -1.84926e-5 8.5e-6 1.031e-4 -1.75e-5 8.5e-6 1.016e-4 -1.5e-5 8.75232e-6 1.031e-4 -1.81638e-5 8.5e-6 1.016e-4 -1.75e-5 8.75232e-6 1.016e-4 -1.81638e-5 8.75232e-6 1.031e-4 1.81638e-5 9.37868e-6 1.031e-4 1.84926e-5 9.4392e-6 1.03099e-4 1.84982e-5 8.5e-6 1.031e-4 1.75e-5 8.5e-6 1.031e-4 1.5e-5 8.20695e-6 1.031e-4 1.42931e-5 7.5e-6 1.031e-4 1.4e-5 9.4394e-6 1.03099e-4 -1.84982e-5 9.37868e-6 1.016e-4 -1.84926e-5 9.37868e-6 1.016e-4 1.84926e-5 9.43887e-6 1.01599e-4 1.84981e-5 8.75232e-6 1.016e-4 1.81638e-5 8.5e-6 1.016e-4 1.75e-5 8.5e-6 1.016e-4 1.5e-5 8.20695e-6 1.016e-4 1.42931e-5 7.5e-6 1.016e-4 1.4e-5 -4.79305e-6 1.031e-4 1.42931e-5 4.79305e-6 1.031e-4 1.42931e-5 5.5e-6 1.016e-4 1.4e-5 -4.5e-6 1.031e-4 1.5e-5 4.5e-6 1.031e-4 1.5e-5 4.79305e-6 1.016e-4 1.42931e-5 -4.5e-6 1.031e-4 1.705e-5 4.5e-6 1.031e-4 1.705e-5 4.5e-6 1.016e-4 1.5e-5 -4.5e-6 1.02221e-4 1.91713e-5 4.5e-6 1.02221e-4 1.91713e-5 4.5e-6 1.016e-4 1.705e-5 -4.5e-6 1.016e-4 1.705e-5 -4.5e-6 1.0116e-4 1.81103e-5 -4.5e-6 1.016e-4 1.5e-5 -4.79305e-6 1.016e-4 1.42931e-5 -5.5e-6 1.016e-4 1.4e-5 -8.20695e-6 1.031e-4 1.42931e-5 -7.5e-6 1.016e-4 1.4e-5 -8.5e-6 1.031e-4 1.5e-5 -8.20695e-6 1.016e-4 1.42931e-5 -9.37868e-6 1.031e-4 1.84926e-5 -8.5e-6 1.031e-4 1.75e-5 -8.5e-6 1.016e-4 1.5e-5 -8.75232e-6 1.031e-4 1.81638e-5 -8.5e-6 1.016e-4 1.75e-5 -8.75232e-6 1.016e-4 1.81638e-5 -9.37868e-6 1.031e-4 -8e-6 -9.4394e-6 1.03099e-4 1.84982e-5 -9.37868e-6 1.016e-4 1.84926e-5 -9e-6 1.016e-4 -8e-6 -9.95264e-6 1.01486e-4 -8e-6 -9.37868e-6 1.016e-4 -8e-6 -8.13432e-6 1.016e-4 -8.49976e-6 -8.13432e-6 1.016e-4 -9.50024e-6 -9e-6 1.016e-4 -10e-6 -9.70695e-6 1.016e-4 -1.02931e-5 -10e-6 1.016e-4 -1.1e-5 -10e-6 1.016e-4 -1.3e-5 2.06213e-5 9.31e-5 -1.85e-5 1.15e-5 1.02221e-4 -1.85e-5 1.15e-5 1.02221e-4 1.85e-5 1.05808e-5 1.02848e-4 -1.85e-5 2.06213e-5 9.31e-5 1.85e-5 1.95607e-5 9.20393e-5 1.85e-5 1.05808e-5 1.02848e-4 1.85e-5 1.04393e-5 1.01161e-4 1.85e-5 1.04393e-5 1.01161e-4 -1.85e-5 9.5e-6 1.01595e-4 -1.85e-5 1.0007e-5 1.01462e-4 -1.85e-5 2.12713e-5 9.21266e-5 1.85e-5 2.12713e-5 9.21266e-5 -1.85e-5 1.95607e-5 9.20393e-5 -1.85e-5 2.15e-5 9.09787e-5 1.85e-5 2.15e-5 6.76e-5 -8e-6 2.15e-5 6.76e-5 -1.65e-5 2e-5 6.76e-5 -1.65e-5 2.15e-5 6.81858e-5 -1.79142e-5 2e-5 6.81858e-5 -1.79142e-5 2.15e-5 6.71e-5 -8e-6 2e-5 6.71e-5 -8e-6 2e-5 6.76e-5 -8e-6 2.15e-5 6.71e-5 1.85e-5 2.19397e-5 6.60397e-5 1.85e-5 2.19397e-5 6.60397e-5 -8e-6 2e-5 6.71e-5 1.85e-5 2.08787e-5 6.49787e-5 1.85e-5 2.15e-5 6.96e-5 -1.85e-5 2.15e-5 9.09787e-5 -1.85e-5 2e-5 9.09787e-5 1.85e-5 2e-5 9.09787e-5 -1.85e-5 1.98857e-5 9.15526e-5 -1.85e-5 2e-5 6.96e-5 -1.85e-5 -2.15e-5 6.71e-5 -2.005e-5 1.66213e-5 9.71e-5 -2.005e-5 2.06213e-5 9.31e-5 -2.005e-5 2.06213e-5 9.31e-5 -1.855e-5 2.12716e-5 9.21267e-5 -2.005e-5 2.12716e-5 9.21267e-5 -1.855e-5 6.5e-6 9.71e-5 -2.005e-5 1.66213e-5 9.71e-5 -1.855e-5 5.08579e-6 9.76858e-5 -2.005e-5 6.5e-6 9.71e-5 -1.855e-5 4.5e-6 9.91e-5 -2.005e-5 5.08579e-6 9.76858e-5 -1.855e-5 4.5e-6 1.001e-4 -2.005e-5 4.5e-6 1.001e-4 -1.855e-5 4.5e-6 9.91e-5 -1.855e-5 -4.5e-6 9.91e-5 -2.005e-5 -4.5e-6 1.001e-4 -2.005e-5 -5.08579e-6 9.76858e-5 -2.005e-5 -4.5e-6 9.91e-5 -1.855e-5 -4.5e-6 1.001e-4 -1.855e-5 -6.5e-6 9.71e-5 -2.005e-5 -5.08579e-6 9.76858e-5 -1.855e-5 -1.66213e-5 9.71e-5 -2.005e-5 -6.5e-6 9.71e-5 -1.855e-5 -2.06213e-5 9.31e-5 -2.005e-5 -1.66213e-5 9.71e-5 -1.855e-5 -2.12716e-5 9.21267e-5 -2.005e-5 -2.06213e-5 9.31e-5 -1.855e-5 -2.15e-5 9.09787e-5 -2.005e-5 -2.12716e-5 9.21267e-5 -1.855e-5 -2.15e-5 9.09787e-5 -1.855e-5 2.15e-5 9.09787e-5 -2.005e-5 2.15e-5 6.71e-5 -2.005e-5 2.15e-5 6.60397e-5 -2.04897e-5 -2.15e-5 6.60397e-5 -2.04897e-5 -2.15e-5 6.49787e-5 -1.94287e-5 -2.15e-5 6.71e-5 -1.855e-5 2.15e-5 6.71e-5 -1.855e-5 2.15e-5 6.49787e-5 -1.94287e-5 2.15e-5 9.09787e-5 -1.855e-5 2.15e-5 6.56e-5 -2.155e-5 1.95e-5 6.56e-5 -2.505e-5 -1.95e-5 6.56e-5 -2.505e-5 -1.95e-5 6.41e-5 -2.505e-5 -2.09142e-5 6.56e-5 -2.44642e-5 -2.09142e-5 6.41e-5 -2.44642e-5 2.09142e-5 6.56e-5 -2.44642e-5 1.95e-5 6.41e-5 -2.505e-5 2.15e-5 6.56e-5 -2.305e-5 2.09142e-5 6.41e-5 -2.44642e-5 2.15e-5 6.41e-5 -2.155e-5 2.15e-5 6.41e-5 -2.305e-5 -2.15e-5 6.56e-5 -2.305e-5 -2.15e-5 6.56e-5 -2.155e-5 -2.15e-5 6.41e-5 -2.305e-5 -2.15e-5 6.41e-5 -2.155e-5 2.12716e-5 9.21267e-5 2.005e-5 2.15e-5 6.71e-5 2.005e-5 2.15e-5 9.09787e-5 2.005e-5 2.15e-5 9.09787e-5 1.855e-5 2.12716e-5 9.21267e-5 1.855e-5 -2.15e-5 9.09787e-5 2.005e-5 -2.15e-5 6.71e-5 2.005e-5 -2.15e-5 6.60397e-5 2.04897e-5 -2.12716e-5 9.21267e-5 2.005e-5 -2.06213e-5 9.31e-5 2.005e-5 -1.66213e-5 9.71e-5 2.005e-5 -6.5e-6 9.71e-5 2.005e-5 -5.08579e-6 9.76858e-5 2.005e-5 -4.5e-6 9.91e-5 2.005e-5 -4.5e-6 1.001e-4 2.005e-5 5.08579e-6 9.76858e-5 2.005e-5 6.5e-6 9.71e-5 2.005e-5 1.66213e-5 9.71e-5 2.005e-5 2.06213e-5 9.31e-5 2.005e-5 2.15e-5 6.60397e-5 2.04897e-5 2.15e-5 6.71e-5 1.855e-5 -2.15e-5 6.71e-5 1.855e-5 -2.15e-5 6.49787e-5 1.94287e-5 -2.15e-5 9.09787e-5 1.855e-5 -2.12716e-5 9.21267e-5 1.855e-5 -2.06213e-5 9.31e-5 1.855e-5 -1.66213e-5 9.71e-5 1.855e-5 -6.5e-6 9.71e-5 1.855e-5 -5.08579e-6 9.76858e-5 1.855e-5 -4.5e-6 1.001e-4 1.855e-5 -4.5e-6 9.91e-5 1.855e-5 4.5e-6 9.91e-5 2.005e-5 4.5e-6 1.001e-4 2.005e-5 4.5e-6 9.91e-5 1.855e-5 4.5e-6 1.001e-4 1.855e-5 5.08579e-6 9.76858e-5 1.855e-5 6.5e-6 9.71e-5 1.855e-5 1.66213e-5 9.71e-5 1.855e-5 2.06213e-5 9.31e-5 1.855e-5 -2.15e-5 6.56e-5 2.155e-5 -1.95e-5 6.56e-5 2.505e-5 1.95e-5 6.56e-5 2.505e-5 1.95e-5 6.41e-5 2.505e-5 2.09142e-5 6.56e-5 2.44642e-5 2.09142e-5 6.41e-5 2.44642e-5 -2.09142e-5 6.56e-5 2.44642e-5 -1.95e-5 6.41e-5 2.505e-5 -2.15e-5 6.56e-5 2.305e-5 -2.09142e-5 6.41e-5 2.44642e-5 -2.15e-5 6.41e-5 2.155e-5 -2.15e-5 6.41e-5 2.305e-5 2.15e-5 6.56e-5 2.305e-5 2.15e-5 6.56e-5 2.155e-5 2.15e-5 6.41e-5 2.305e-5 2.15e-5 6.49787e-5 1.94287e-5 2.15e-5 6.41e-5 2.155e-5 -3.15e-5 4.41e-5 -6e-6 -3.15e-5 4.9357e-5 -4.24209e-6 -3.15e-5 5.36e-5 -6e-6 -3e-5 5.36e-5 -4.5e-6 -3.15e-5 6.26e-5 -8e-6 -3.15e-5 5.7843e-5 -4.24208e-6 -3e-5 5.67818e-5 -3.18179e-6 -3.15e-5 4.76003e-5 0 -3e-5 5.04182e-5 -3.18179e-6 -3.15e-5 4.41e-5 1.65e-5 -3.15e-5 4.9357e-5 4.24208e-6 -3e-5 4.91e-5 0 -3.15e-5 5.36e-5 6e-6 -3e-5 5.04182e-5 3.18179e-6 -3.15e-5 5.7843e-5 4.24209e-6 -3e-5 5.36e-5 4.5e-6 -3.15e-5 6.26e-5 1.85e-5 -3.15e-5 5.95997e-5 0 -3e-5 5.67818e-5 3.18179e-6 -3.15e-5 4.46858e-5 1.79142e-5 -3.15e-5 4.61e-5 1.85e-5 -3e-5 5.81e-5 0 -3e-5 4.41e-5 1.65e-5 -3e-5 4.46858e-5 1.79142e-5 -3.15e-5 4.46858e-5 -7.41421e-6 -3e-5 4.41e-5 -6e-6 -3.15e-5 4.61e-5 -8e-6 -3e-5 4.46858e-5 -7.41421e-6 -3e-5 4.61e-5 -8e-6 -3.06213e-5 6.47213e-5 1.85e-5 -3.06213e-5 6.47213e-5 -8e-6 -3e-5 6.26e-5 -8e-6 -3e-5 6.26e-5 1.85e-5 -2.95603e-5 6.36603e-5 1.85e-5 -3e-5 4.61e-5 1.85e-5 -2.85e-5 6.56e-5 1.85e-5 -2.3e-5 6.56e-5 1.85e-5 -2.3e-5 6.56e-5 -8e-6 -2.85e-5 6.56e-5 -8e-6 -2.85e-5 6.41e-5 -8e-6 -2.3e-5 6.41e-5 -8e-6 -2.3e-5 6.41e-5 1.85e-5 -2.85e-5 6.41e-5 1.85e-5 3.15e-5 4.41e-5 1.65e-5 3.15e-5 4.9357e-5 4.24208e-6 3.15e-5 5.36e-5 6e-6 3e-5 5.36e-5 4.5e-6 3.15e-5 6.26e-5 1.85e-5 3.15e-5 5.7843e-5 4.24209e-6 3e-5 5.67818e-5 3.18179e-6 3.15e-5 4.41e-5 -6e-6 3.15e-5 4.76003e-5 0 3e-5 5.04182e-5 3.18179e-6 3.15e-5 4.9357e-5 -4.24209e-6 3e-5 4.91e-5 0 3.15e-5 5.36e-5 -6e-6 3e-5 5.04182e-5 -3.18179e-6 3.15e-5 6.26e-5 -8e-6 3.15e-5 5.7843e-5 -4.24208e-6 3e-5 5.36e-5 -4.5e-6 3.15e-5 4.46858e-5 -7.41421e-6 3.15e-5 4.61e-5 -8e-6 3.15e-5 5.95997e-5 0 3e-5 5.67818e-5 -3.18179e-6 3e-5 5.81e-5 0 3e-5 4.41e-5 -6e-6 3e-5 4.46858e-5 -7.41421e-6 3.15e-5 4.46858e-5 1.79142e-5 3e-5 4.41e-5 1.65e-5 3.15e-5 4.61e-5 1.85e-5 3e-5 4.46858e-5 1.79142e-5 3e-5 4.61e-5 1.85e-5 3.06213e-5 6.47213e-5 -8e-6 3.06213e-5 6.47213e-5 1.85e-5 3e-5 6.26e-5 1.85e-5 3e-5 6.26e-5 -8e-6 3e-5 4.61e-5 -8e-6 2.85e-5 6.56e-5 -8e-6 2.3e-5 6.56e-5 -8e-6 2.3e-5 6.56e-5 1.85e-5 2.85e-5 6.56e-5 1.85e-5 2.85e-5 6.41e-5 1.85e-5 2.3e-5 6.41e-5 1.85e-5 2.3e-5 6.41e-5 -8e-6 2.08787e-5 6.49787e-5 -8e-6 2.85e-5 6.41e-5 -8e-6 2.95603e-5 6.36603e-5 1.85e-5 -4.5e-6 1.0116e-4 -1.81103e-5 4.5e-6 1.0116e-4 1.81103e-5 -9.5e-6 1.03098e-4 1.85e-5 -9.5e-6 1.01595e-4 1.85e-5 -9.43907e-6 1.01599e-4 1.84981e-5 -1.0007e-5 1.01462e-4 1.85e-5 -1.98857e-5 9.15526e-5 1.85e-5 1.98857e-5 9.15526e-5 1.85e-5 9.5e-6 1.03098e-4 1.85e-5 9.5e-6 1.03098e-4 -1.85e-5 9.43912e-6 1.01599e-4 -1.84981e-5 9.5e-6 1.01595e-4 1.85e-5 1.0007e-5 1.01462e-4 1.85e-5 -2.95603e-5 6.36603e-5 -8e-6 2.95603e-5 6.36603e-5 -8e-6 -3.9e-5 0 5.63e-5 -4e-5 -3.4e-5 5.63e-5 -4e-5 3.4e-5 5.63e-5 -4e-5 3.4e-5 7.23e-5 -6.77385e-6 3.84071e-5 5.63e-5 -3.4e-5 4e-5 5.63e-5 -3.21883e-5 3.29742e-5 5.63e-5 -3.11127e-5 3.32627e-5 5.63e-5 -1.94989e-5 3.37753e-5 5.63e-5 -3.29747e-5 3.00384e-5 5.63e-5 -3.21883e-5 2.92512e-5 5.63e-5 -2.98766e-5 2.50676e-5 5.63e-5 -3.32624e-5 3.11127e-5 5.63e-5 -3.29747e-5 3.2187e-5 5.63e-5 -3.66476e-5 1.33389e-5 5.63e-5 -6.77384e-6 -3.84071e-5 5.63e-5 -3.4e-5 -4e-5 5.63e-5 -3.4e-5 -4e-5 7.23e-5 -3.29742e-5 -3.21883e-5 5.63e-5 -3.32627e-5 -3.11127e-5 5.63e-5 -3.66476e-5 -1.33389e-5 5.63e-5 -3.2187e-5 -3.29747e-5 5.63e-5 -3.11127e-5 -3.32624e-5 5.63e-5 -1.94989e-5 -3.37753e-5 5.63e-5 -4e-5 -3.4e-5 7.23e-5 3.4e-5 -4e-5 5.63e-5 -2.1e-5 -4e-5 6.43e-5 6.77385e-6 -3.84071e-5 5.63e-5 4e-5 -3.4e-5 5.63e-5 3.4e-5 -4e-5 6.43e-5 3.9e-5 0 5.63e-5 4e-5 3.4e-5 5.63e-5 4e-5 -3.4e-5 6.43e-5 3.29742e-5 -3.00371e-5 5.63e-5 3.2187e-5 -2.92507e-5 5.63e-5 2.98766e-5 -2.50676e-5 5.63e-5 3.32627e-5 -3.11127e-5 5.63e-5 3.29742e-5 -3.21883e-5 5.63e-5 3.2187e-5 -3.29747e-5 5.63e-5 3.11127e-5 -3.32624e-5 5.63e-5 1.94989e-5 -3.37753e-5 5.63e-5 3.66476e-5 -1.33389e-5 5.63e-5 6.77384e-6 3.84071e-5 5.63e-5 3.4e-5 4e-5 5.63e-5 4e-5 3.4e-5 6.43e-5 3.2187e-5 3.29747e-5 5.63e-5 3.11127e-5 3.32624e-5 5.63e-5 1.94989e-5 3.37753e-5 5.63e-5 3.29742e-5 3.21883e-5 5.63e-5 3.32627e-5 3.11127e-5 5.63e-5 3.66476e-5 1.33389e-5 5.63e-5 3.4e-5 4e-5 6.43e-5 -2.1e-5 4e-5 6.43e-5 -2.1e-5 4e-5 7.23e-5 -3.4e-5 4e-5 7.23e-5 2.92512e-5 -3.00371e-5 5.63e-5 2.89627e-5 -3.11127e-5 5.63e-5 2.89627e-5 -3.11127e-5 6.205e-5 2.92512e-5 -3.21883e-5 5.63e-5 2.92507e-5 -3.21877e-5 6.205e-5 3.00384e-5 -2.92507e-5 5.63e-5 2.92507e-5 -3.00377e-5 6.205e-5 3.11127e-5 -2.8963e-5 5.63e-5 3.00377e-5 -2.92507e-5 6.205e-5 3.11127e-5 -2.89627e-5 6.205e-5 3.21877e-5 -2.92507e-5 6.205e-5 3.29747e-5 -3.00377e-5 6.205e-5 3.32627e-5 -3.11127e-5 6.205e-5 3.29747e-5 -3.21877e-5 6.205e-5 3.21877e-5 -3.29747e-5 6.205e-5 3.00384e-5 -3.29747e-5 5.63e-5 3.11127e-5 -3.32627e-5 6.205e-5 3.00377e-5 -3.29747e-5 6.205e-5 2.92512e-5 3.21883e-5 5.63e-5 2.89627e-5 3.11127e-5 5.63e-5 2.89627e-5 3.11127e-5 6.205e-5 2.92512e-5 3.00371e-5 5.63e-5 2.92507e-5 3.00377e-5 6.205e-5 3.00384e-5 3.29747e-5 5.63e-5 2.92507e-5 3.21877e-5 6.205e-5 3.00377e-5 3.29747e-5 6.205e-5 3.11127e-5 3.32627e-5 6.205e-5 3.21877e-5 3.29747e-5 6.205e-5 3.29747e-5 3.21877e-5 6.205e-5 3.29742e-5 3.00371e-5 5.63e-5 3.32627e-5 3.11127e-5 6.205e-5 3.2187e-5 2.92507e-5 5.63e-5 3.29747e-5 3.00377e-5 6.205e-5 3.11127e-5 2.8963e-5 5.63e-5 3.21877e-5 2.92507e-5 6.205e-5 2.98766e-5 2.50676e-5 5.63e-5 3.00384e-5 2.92507e-5 5.63e-5 3.11127e-5 2.89627e-5 6.205e-5 3.00377e-5 2.92507e-5 6.205e-5 -3.29742e-5 -3.00371e-5 5.63e-5 -3.32627e-5 -3.11127e-5 6.997e-5 -3.29747e-5 -3.21877e-5 6.997e-5 -3.2187e-5 -2.92507e-5 5.63e-5 -3.29747e-5 -3.00377e-5 6.997e-5 -3.11127e-5 -2.8963e-5 5.63e-5 -3.21877e-5 -2.92507e-5 6.997e-5 -2.98766e-5 -2.50676e-5 5.63e-5 -3.00384e-5 -2.92507e-5 5.63e-5 -3.11127e-5 -2.89627e-5 6.997e-5 -2.92512e-5 -3.00371e-5 5.63e-5 -3.00377e-5 -2.92507e-5 6.997e-5 -2.89627e-5 -3.11127e-5 5.63e-5 -2.92507e-5 -3.00377e-5 6.997e-5 -2.92512e-5 -3.21883e-5 5.63e-5 -2.89627e-5 -3.11127e-5 6.997e-5 -3.00384e-5 -3.29747e-5 5.63e-5 -2.92507e-5 -3.21877e-5 6.997e-5 -3.00377e-5 -3.29747e-5 6.997e-5 -3.11127e-5 -3.32627e-5 6.997e-5 -3.21877e-5 -3.29747e-5 6.997e-5 -3.00371e-5 3.29742e-5 5.63e-5 -3.11127e-5 3.32627e-5 6.997e-5 -3.21877e-5 3.29747e-5 6.997e-5 -2.92507e-5 3.2187e-5 5.63e-5 -3.00377e-5 3.29747e-5 6.997e-5 -2.8963e-5 3.11127e-5 5.63e-5 -2.92507e-5 3.21877e-5 6.997e-5 -2.92507e-5 3.00384e-5 5.63e-5 -2.89627e-5 3.11127e-5 6.997e-5 -3.00371e-5 2.92512e-5 5.63e-5 -2.92507e-5 3.00377e-5 6.997e-5 -3.11127e-5 2.89627e-5 5.63e-5 -3.00377e-5 2.92507e-5 6.997e-5 -3.11127e-5 2.89627e-5 6.997e-5 -3.21877e-5 2.92507e-5 6.997e-5 -3.29747e-5 3.00377e-5 6.997e-5 -3.32627e-5 3.11127e-5 6.997e-5 -3.29747e-5 3.21877e-5 6.997e-5 -3.8e-5 0 5.73e-5 -3.57084e-5 -1.29965e-5 5.73e-5 -3.57084e-5 1.29965e-5 5.73e-5 -2.91098e-5 2.44258e-5 5.73e-5 -1.90001e-5 3.29089e-5 5.73e-5 -6.59866e-6 3.74227e-5 5.73e-5 6.59865e-6 3.74227e-5 5.73e-5 1.90001e-5 3.29089e-5 5.73e-5 2.91098e-5 2.44259e-5 5.73e-5 3.57084e-5 1.29965e-5 5.73e-5 3.8e-5 0 5.73e-5 3.57084e-5 -1.29965e-5 5.73e-5 2.91098e-5 -2.44258e-5 5.73e-5 1.90001e-5 -3.29089e-5 5.73e-5 6.59866e-6 -3.74227e-5 5.73e-5 -6.59865e-6 -3.74227e-5 5.73e-5 -1.90001e-5 -3.29089e-5 5.73e-5 -2.91098e-5 -2.44259e-5 5.73e-5 1.33955e-5 -3.23349e-5 6.43e-5 2.80016e-5 -3.42238e-5 6.43e-5 2.67127e-5 -3.11127e-5 6.43e-5 2.80016e-5 -2.80016e-5 6.43e-5 0 -3.5e-5 6.43e-5 3.11127e-5 -3.55127e-5 6.43e-5 3.42238e-5 -3.42238e-5 6.43e-5 3.55127e-5 -3.11127e-5 6.43e-5 3.42238e-5 -2.80016e-5 6.43e-5 3.11127e-5 -2.67127e-5 6.43e-5 3.5e-5 0 6.43e-5 3.23352e-5 -1.33949e-5 6.43e-5 2.47488e-5 -2.47482e-5 6.43e-5 2.47488e-5 2.47482e-5 6.43e-5 2.80016e-5 2.80016e-5 6.43e-5 2.67127e-5 3.11127e-5 6.43e-5 1.33955e-5 3.23349e-5 6.43e-5 2.80016e-5 3.42238e-5 6.43e-5 3.11127e-5 2.67127e-5 6.43e-5 3.23352e-5 1.33949e-5 6.43e-5 3.42238e-5 2.80016e-5 6.43e-5 3.55127e-5 3.11127e-5 6.43e-5 3.42238e-5 3.42238e-5 6.43e-5 3.11127e-5 3.55127e-5 6.43e-5 0 3.5e-5 6.43e-5 -1.33955e-5 -3.23349e-5 6.43e-5 -2.1e-5 -3.1496e-5 6.43e-5 -2.1e-5 -4e-5 7.23e-5 -2.12169e-5 -3.05902e-5 6.43e-5 -2.1e-5 -3.1496e-5 7.23e-5 -2.47488e-5 -2.47482e-5 6.43e-5 -2.18205e-5 -2.98809e-5 6.43e-5 -2.12169e-5 -3.05902e-5 7.23e-5 -3.12674e-5 -1.97823e-5 6.43e-5 -2.18205e-5 -2.98809e-5 7.23e-5 -3.23352e-5 -1.33949e-5 6.43e-5 -3.63476e-5 -6.9162e-6 6.43e-5 -3.63472e-5 -6.91895e-6 7.23e-5 -3.12665e-5 -1.97833e-5 7.23e-5 -3.5e-5 0 6.43e-5 -3.63476e-5 6.9162e-6 6.43e-5 -3.23352e-5 1.33949e-5 6.43e-5 -3.12674e-5 1.97823e-5 6.43e-5 -3.63472e-5 6.91895e-6 7.23e-5 -2.47488e-5 2.47482e-5 6.43e-5 -2.18205e-5 2.98809e-5 6.43e-5 -3.12665e-5 1.97833e-5 7.23e-5 -1.33955e-5 3.23349e-5 6.43e-5 -2.12169e-5 3.05902e-5 6.43e-5 -2.18205e-5 2.98809e-5 7.23e-5 -2.1e-5 3.1496e-5 6.43e-5 -2.12169e-5 3.05902e-5 7.23e-5 -2.1e-5 3.1496e-5 7.23e-5 3.4e-5 0 6.33e-5 3.14121e-5 -1.30108e-5 6.33e-5 3.14121e-5 1.30108e-5 6.33e-5 2.40419e-5 2.40413e-5 6.33e-5 1.30115e-5 3.14118e-5 6.33e-5 0 3.4e-5 6.33e-5 -1.30115e-5 3.14118e-5 6.33e-5 -2.40419e-5 2.40413e-5 6.33e-5 -3.14121e-5 1.30108e-5 6.33e-5 -3.4e-5 0 6.33e-5 -3.14121e-5 -1.30108e-5 6.33e-5 -2.40419e-5 -2.40413e-5 6.33e-5 -1.30115e-5 -3.14118e-5 6.33e-5 0 -3.4e-5 6.33e-5 1.30115e-5 -3.14118e-5 6.33e-5 2.40419e-5 -2.40413e-5 6.33e-5 -3.55927e-5 3.11127e-5 7.23e-5 -3.11127e-5 3.55927e-5 7.23e-5 -3.42803e-5 3.42803e-5 7.23e-5 -3.42803e-5 -3.42803e-5 7.23e-5 -3.55927e-5 -3.11127e-5 7.23e-5 -3.42803e-5 -2.7945e-5 7.23e-5 -3.11127e-5 -3.55927e-5 7.23e-5 -2.7945e-5 3.42803e-5 7.23e-5 -3.14121e-5 1.30108e-5 6.2e-5 -3.4e-5 0 6.2e-5 -2.40419e-5 2.40413e-5 6.2e-5 -1.30115e-5 3.14118e-5 6.2e-5 0 3.4e-5 6.2e-5 1.30115e-5 3.14118e-5 6.2e-5 2.40419e-5 2.40413e-5 6.2e-5 3.14121e-5 1.30108e-5 6.2e-5 3.4e-5 0 6.2e-5 3.14121e-5 -1.30108e-5 6.2e-5 3.5e-5 0 6.1e-5 3.23352e-5 -1.33949e-5 6.1e-5 3.23352e-5 1.33949e-5 6.1e-5 2.47488e-5 2.47482e-5 6.1e-5 1.33955e-5 3.23349e-5 6.1e-5 0 3.5e-5 6.1e-5 -1.33955e-5 3.23349e-5 6.1e-5 -2.47488e-5 2.47482e-5 6.1e-5 -3.23352e-5 1.33949e-5 6.1e-5 -3.14121e-5 -1.30108e-5 6.2e-5 -3.5e-5 0 6.1e-5 2.40419e-5 -2.40413e-5 6.2e-5 1.30115e-5 -3.14118e-5 6.2e-5 0 -3.4e-5 6.2e-5 -1.30115e-5 -3.14118e-5 6.2e-5 -2.40419e-5 -2.40413e-5 6.2e-5 -3.23352e-5 -1.33949e-5 6.1e-5 -2.47488e-5 -2.47482e-5 6.1e-5 -1.33955e-5 -3.23349e-5 6.1e-5 0 -3.5e-5 6.1e-5 1.33955e-5 -3.23349e-5 6.1e-5 2.47488e-5 -2.47482e-5 6.1e-5 -3.72697e-5 -7.41231e-6 6.1e-5 -3.8e-5 0 6.1e-5 -3.72697e-5 7.41231e-6 6.1e-5 -3.51066e-5 -1.45435e-5 6.1e-5 -3.15966e-5 -2.11104e-5 6.1e-5 -2.68698e-5 -2.68698e-5 6.1e-5 -2.11104e-5 -3.15966e-5 6.1e-5 -1.45435e-5 -3.51066e-5 6.1e-5 7.41231e-6 -3.72697e-5 6.1e-5 -7.41231e-6 -3.72697e-5 6.1e-5 1.45435e-5 -3.51066e-5 6.1e-5 0 -3.8e-5 6.1e-5 2.11104e-5 -3.15966e-5 6.1e-5 2.68698e-5 -2.68698e-5 6.1e-5 3.15966e-5 -2.11104e-5 6.1e-5 3.51066e-5 -1.45435e-5 6.1e-5 3.72697e-5 -7.41231e-6 6.1e-5 3.8e-5 0 6.1e-5 3.72697e-5 7.41231e-6 6.1e-5 3.51066e-5 1.45435e-5 6.1e-5 3.15966e-5 2.11104e-5 6.1e-5 2.68698e-5 2.68698e-5 6.1e-5 2.11104e-5 3.15966e-5 6.1e-5 1.45435e-5 3.51066e-5 6.1e-5 -7.41231e-6 3.72697e-5 6.1e-5 7.41231e-6 3.72697e-5 6.1e-5 -1.45435e-5 3.51066e-5 6.1e-5 0 3.8e-5 6.1e-5 -2.11104e-5 3.15966e-5 6.1e-5 -2.68698e-5 2.68698e-5 6.1e-5 -3.15966e-5 2.11104e-5 6.1e-5 -3.51066e-5 1.45435e-5 6.1e-5 -2.7945e-5 -3.42803e-5 7.23e-5 -2.66327e-5 -3.11127e-5 7.23e-5 -2.7945e-5 -2.7945e-5 7.23e-5 -3.11127e-5 -2.66327e-5 7.23e-5 -3.42803e-5 2.7945e-5 7.23e-5 -3.11127e-5 2.66327e-5 7.23e-5 -2.7945e-5 2.7945e-5 7.23e-5 -2.66327e-5 3.11127e-5 7.23e-5 -5.66552e-6 6.81552e-6 -4.82e-5 -5.66552e-6 6.81552e-6 -4.775e-5 -6.7969e-6 5.68414e-6 -4.775e-5 -7.36258e-6 6.24983e-6 -4.775e-5 -6.7969e-6 5.68414e-6 -4.82e-5 -6.23121e-6 7.3812e-6 -4.82e-5 -6.23121e-6 7.3812e-6 -4.775e-5 -7.36258e-6 6.24983e-6 -4.82e-5 -3.37425e-6 -4.65582e-6 -4.145e-5 -3.88197e-6 -3.15117e-6 -4.145e-5 -4.93754e-6 -7.87838e-7 -4.145e-5 -4.93754e-6 -7.87838e-7 -3.77e-5 -5.67817e-6 -9.06014e-7 -4.145e-5 -4.66985e-6 1.78664e-6 -4.145e-5 -4.66997e-6 1.78645e-6 -3.77e-5 -1.78664e-6 -4.66985e-6 -4.145e-5 -2.93427e-6 -4.04846e-6 -3.77e-5 9.06007e-7 -5.67813e-6 -4.145e-5 7.87838e-7 -4.93754e-6 -4.145e-5 4.65558e-6 -3.37457e-6 -4.145e-5 3.15117e-6 -3.88197e-6 -4.145e-5 7.87828e-7 -4.93754e-6 -3.77e-5 4.66985e-6 -1.78664e-6 -4.145e-5 4.04846e-6 -2.93427e-6 -3.77e-5 5.67817e-6 9.06014e-7 -4.145e-5 4.93754e-6 7.87838e-7 -4.145e-5 3.37425e-6 4.65582e-6 -4.145e-5 3.88197e-6 3.15117e-6 -4.145e-5 4.93754e-6 7.87838e-7 -3.77e-5 1.78664e-6 4.66985e-6 -4.145e-5 3.88214e-6 3.15103e-6 -3.77e-5 -9.06007e-7 5.67813e-6 -4.145e-5 -7.87838e-7 4.93754e-6 -4.145e-5 1.78645e-6 4.66997e-6 -3.77e-5 -4.65558e-6 3.37457e-6 -4.145e-5 -3.15117e-6 3.88197e-6 -4.145e-5 -7.87838e-7 4.93754e-6 -3.77e-5 -3.15103e-6 3.88214e-6 -3.77e-5 -5.92505e-6 -9.45406e-7 -4.17e-5 -3.52116e-6 -4.85813e-6 -4.17e-5 -4.85816e-6 3.52112e-6 -4.17e-5 -9.45406e-7 5.92505e-6 -4.17e-5 3.52116e-6 4.85813e-6 -4.17e-5 5.92505e-6 9.45406e-7 -4.17e-5 4.85816e-6 -3.52112e-6 -4.17e-5 9.45406e-7 -5.92505e-6 -4.17e-5 -5.43129e-6 -8.66622e-7 -4.345e-5 2.20602e-7 -1.38255e-6 -4.345e-5 -1.10731e-6 -3.21463e-6 -4.345e-5 -1.10731e-6 -3.21463e-6 -3.72e-5 -3.22773e-6 -4.45322e-6 -4.345e-5 7.24804e-7 -4.54249e-6 -4.345e-5 7.2479e-7 -4.54254e-6 -3.73e-5 -7.25686e-7 -4.02261e-6 -3.72e-5 0 -4.49989e-6 -3.72e-5 3.77621e-7 -4.5597e-6 -3.72753e-5 4.45329e-6 -3.22763e-6 -4.345e-5 2.05272e-6 -2.71042e-6 -4.345e-5 2.20602e-7 -1.38255e-6 -3.72e-5 5.43129e-6 8.66622e-7 -4.345e-5 2.05272e-6 -2.71042e-6 -3.72e-5 8.66622e-7 -5.43129e-6 -4.345e-5 1.94148e-6 -3.59704e-6 -3.72e-5 1.3724e-6 -4.28561e-6 -3.72e-5 1.05984e-6 -4.4509e-6 -3.72754e-5 -2.20602e-7 1.38255e-6 -4.345e-5 1.10731e-6 3.21463e-6 -4.345e-5 1.10731e-6 3.21463e-6 -3.72e-5 3.22773e-6 4.45322e-6 -4.345e-5 -7.24804e-7 4.54249e-6 -4.345e-5 -7.24811e-7 4.54254e-6 -3.73e-5 7.25686e-7 4.02261e-6 -3.72e-5 0 4.49989e-6 -3.72e-5 -4.45329e-6 3.22763e-6 -4.345e-5 -2.05272e-6 2.71042e-6 -4.345e-5 -2.20602e-7 1.38255e-6 -3.72e-5 -2.05272e-6 2.71042e-6 -3.72e-5 -8.66622e-7 5.43129e-6 -4.345e-5 -1.94148e-6 3.59704e-6 -3.72e-5 -1.3724e-6 4.2856e-6 -3.72e-5 -5.92505e-6 -9.45406e-7 -4.295e-5 -4.85816e-6 3.52113e-6 -4.295e-5 -3.52115e-6 -4.85813e-6 -4.295e-5 9.45406e-7 -5.92505e-6 -4.295e-5 4.85816e-6 -3.52113e-6 -4.295e-5 5.92505e-6 9.45406e-7 -4.295e-5 3.52115e-6 4.85813e-6 -4.295e-5 -9.45406e-7 5.92505e-6 -4.295e-5 -3.17391e-6 3.19001e-6 -3.72e-5 2.90942e-6 3.43297e-6 -3.72e-5 3.83331e-6 -2.35706e-6 -3.72e-5 4.44379e-6 7.09054e-7 -3.72e-5 -2.02358e-6 -4.01933e-6 -3.72e-5 -4.27873e-6 1.3936e-6 -3.72e-5 -3.63258e-6 -2.65594e-6 -3.72e-5 -4.44373e-6 -7.09046e-7 -3.72e-5 2.45e-5 5.23626e-5 -6.83749e-6 2.45e-5 5.23626e-5 -4.36251e-6 2.45e-5 5.36e-5 -3.85e-6 2.485e-5 5.36e-5 -3.5e-6 2.45e-5 5.36e-5 -7.35e-6 2.45e-5 5.48374e-5 -4.36251e-6 2.485e-5 5.50849e-5 -4.11508e-6 2.45e-5 5.185e-5 -5.6e-6 2.485e-5 5.21151e-5 -4.11508e-6 2.485e-5 5.15e-5 -5.6e-6 2.485e-5 5.21151e-5 -7.08492e-6 2.45e-5 5.48374e-5 -6.83749e-6 2.485e-5 5.36e-5 -7.7e-6 2.45e-5 5.535e-5 -5.6e-6 2.485e-5 5.50849e-5 -7.08492e-6 2.485e-5 5.57e-5 -5.6e-6 2.95e-5 5.21151e-5 -7.08491e-6 2.95e-5 5.50849e-5 -7.08491e-6 2.95e-5 5.57e-5 -5.6e-6 2.95e-5 5.50849e-5 -4.11509e-6 2.95e-5 5.43217e-5 -6.85e-6 2.95e-5 5.28783e-5 -6.85e-6 2.95e-5 5.50434e-5 -5.6e-6 2.95e-5 5.43217e-5 -4.35e-6 2.95e-5 5.28783e-5 -4.35e-6 2.95e-5 5.21151e-5 -4.11509e-6 2.95e-5 5.15e-5 -5.6e-6 2.95e-5 5.21566e-5 -5.6e-6 2.65e-5 5.43217e-5 -6.85e-6 2.65e-5 5.28783e-5 -6.85e-6 2.65e-5 5.50434e-5 -5.6e-6 2.65e-5 5.43217e-5 -4.35e-6 2.65e-5 5.28783e-5 -4.35e-6 2.65e-5 5.21566e-5 -5.6e-6 -2.45e-5 5.48374e-5 4.36251e-6 -2.45e-5 5.48374e-5 6.83749e-6 -2.45e-5 5.36e-5 7.35e-6 -2.485e-5 5.36e-5 7.7e-6 -2.45e-5 5.36e-5 3.85e-6 -2.45e-5 5.23626e-5 6.83749e-6 -2.485e-5 5.21151e-5 7.08492e-6 -2.45e-5 5.535e-5 5.6e-6 -2.485e-5 5.50849e-5 7.08492e-6 -2.485e-5 5.57e-5 5.6e-6 -2.485e-5 5.50849e-5 4.11508e-6 -2.45e-5 5.23626e-5 4.36251e-6 -2.485e-5 5.36e-5 3.5e-6 -2.45e-5 5.185e-5 5.6e-6 -2.485e-5 5.21151e-5 4.11508e-6 -2.485e-5 5.15e-5 5.6e-6 -2.95e-5 5.50849e-5 4.11509e-6 -2.95e-5 5.21151e-5 4.11509e-6 -2.95e-5 5.15e-5 5.6e-6 -2.95e-5 5.21151e-5 7.08491e-6 -2.95e-5 5.28783e-5 4.35e-6 -2.95e-5 5.43217e-5 4.35e-6 -2.95e-5 5.21566e-5 5.6e-6 -2.95e-5 5.28783e-5 6.85e-6 -2.95e-5 5.43217e-5 6.85e-6 -2.95e-5 5.50849e-5 7.08491e-6 -2.95e-5 5.57e-5 5.6e-6 -2.95e-5 5.50434e-5 5.6e-6 -2.65e-5 5.28783e-5 4.35e-6 -2.65e-5 5.43217e-5 4.35e-6 -2.65e-5 5.21566e-5 5.6e-6 -2.65e-5 5.28783e-5 6.85e-6 -2.65e-5 5.43217e-5 6.85e-6 -2.65e-5 5.50434e-5 5.6e-6 3.17729e-5 -1.71041e-6 3.85e-5 3.61699e-5 -1.78664e-6 3.85e-5 3.64375e-5 7.87838e-7 3.85e-5 3.64375e-5 7.87838e-7 3.82e-5 3.28448e-5 1.09156e-6 3.85e-5 3.5382e-5 3.15117e-6 3.85e-5 3.53821e-5 3.15106e-6 3.82e-5 3.31177e-5 -6.18856e-7 3.85e-5 2.97134e-5 -4.66985e-6 3.85e-5 3.46512e-5 -3.88197e-6 3.85e-5 3.617e-5 -1.78648e-6 3.82e-5 2.7618e-5 -3.15117e-6 3.85e-5 3.22878e-5 -4.93754e-6 3.85e-5 3.46511e-5 -3.88212e-6 3.82e-5 3.22878e-5 -4.93754e-6 3.82e-5 2.97135e-5 -4.66996e-6 3.82e-5 3.01552e-5 -1.09156e-6 3.85e-5 2.65625e-5 -7.87838e-7 3.85e-5 2.76179e-5 -3.15106e-6 3.82e-5 3.12271e-5 1.71041e-6 3.85e-5 2.68301e-5 1.78664e-6 3.85e-5 2.65625e-5 -7.87838e-7 3.82e-5 2.98823e-5 6.18856e-7 3.85e-5 3.32866e-5 4.66985e-6 3.85e-5 2.83488e-5 3.88197e-6 3.85e-5 2.683e-5 1.78648e-6 3.82e-5 3.07122e-5 4.93754e-6 3.85e-5 2.83489e-5 3.88212e-6 3.82e-5 3.07122e-5 4.93754e-6 3.82e-5 3.32865e-5 4.66996e-6 3.82e-5 3.28448e-5 1.09156e-6 3.62e-5 3.31177e-5 -6.18856e-7 3.62e-5 3.12271e-5 1.71041e-6 3.62e-5 2.98823e-5 6.18856e-7 3.62e-5 3.01552e-5 -1.09156e-6 3.62e-5 3.17729e-5 -1.71041e-6 3.62e-5 2.90312e-5 -3.93919e-7 3.57e-5 3.06068e-5 -2.33498e-6 3.57e-5 2.99245e-5 1.94106e-6 3.57e-5 3.23932e-5 2.33498e-6 3.57e-5 3.39688e-5 3.93919e-7 3.57e-5 2.90312e-5 -3.93919e-7 3.33e-5 3.06066e-5 -2.3349e-6 3.33e-5 2.99244e-5 1.94094e-6 3.33e-5 3.23934e-5 2.3349e-6 3.33e-5 3.39688e-5 3.93919e-7 3.33e-5 3.30755e-5 -1.94106e-6 3.57e-5 2.94262e-5 -3.30892e-7 3.33e-5 3.02676e-5 -1.70031e-6 3.33e-5 3.11691e-5 2.07377e-6 3.33e-5 2.97997e-5 1.23237e-6 3.33e-5 3.27324e-5 1.70031e-6 3.33e-5 3.35738e-5 3.30892e-7 3.33e-5 3.30756e-5 -1.94094e-6 3.33e-5 3.32003e-5 -1.23237e-6 3.33e-5 3.35738e-5 3.30892e-7 2.65e-5 3.27324e-5 1.70031e-6 2.65e-5 3.18309e-5 -2.07377e-6 3.33e-5 3.32003e-5 -1.23237e-6 2.65e-5 3.18309e-5 -2.07377e-6 2.65e-5 3.02676e-5 -1.70031e-6 2.65e-5 2.94262e-5 -3.30892e-7 2.65e-5 2.97997e-5 1.23237e-6 2.65e-5 3.11691e-5 2.07377e-6 2.65e-5 1.71041e-6 3.17729e-5 3.85e-5 1.78664e-6 3.61699e-5 3.85e-5 -7.87838e-7 3.64375e-5 3.85e-5 -7.87838e-7 3.64375e-5 3.82e-5 -1.09156e-6 3.28448e-5 3.85e-5 -3.15117e-6 3.5382e-5 3.85e-5 -3.15106e-6 3.53821e-5 3.82e-5 6.18856e-7 3.31177e-5 3.85e-5 4.66985e-6 2.97134e-5 3.85e-5 3.88197e-6 3.46512e-5 3.85e-5 1.78648e-6 3.617e-5 3.82e-5 3.15117e-6 2.7618e-5 3.85e-5 4.93754e-6 3.22878e-5 3.85e-5 3.88212e-6 3.46511e-5 3.82e-5 4.93754e-6 3.22878e-5 3.82e-5 4.66996e-6 2.97135e-5 3.82e-5 1.09156e-6 3.01552e-5 3.85e-5 7.87838e-7 2.65625e-5 3.85e-5 3.15106e-6 2.76179e-5 3.82e-5 -1.71041e-6 3.12271e-5 3.85e-5 -1.78664e-6 2.68301e-5 3.85e-5 7.87838e-7 2.65625e-5 3.82e-5 -6.18856e-7 2.98823e-5 3.85e-5 -4.66985e-6 3.32866e-5 3.85e-5 -3.88197e-6 2.83488e-5 3.85e-5 -1.78648e-6 2.683e-5 3.82e-5 -4.93754e-6 3.07122e-5 3.85e-5 -3.88212e-6 2.83489e-5 3.82e-5 -4.93754e-6 3.07122e-5 3.82e-5 -4.66996e-6 3.32865e-5 3.82e-5 -1.09156e-6 3.28448e-5 3.62e-5 6.18856e-7 3.31177e-5 3.62e-5 -1.71041e-6 3.12271e-5 3.62e-5 -6.18856e-7 2.98823e-5 3.62e-5 1.09156e-6 3.01552e-5 3.62e-5 1.71041e-6 3.17729e-5 3.62e-5 3.93919e-7 2.90312e-5 3.57e-5 2.33498e-6 3.06068e-5 3.57e-5 -1.94106e-6 2.99245e-5 3.57e-5 -2.33498e-6 3.23932e-5 3.57e-5 -3.93919e-7 3.39688e-5 3.57e-5 3.93919e-7 2.90312e-5 3.33e-5 2.3349e-6 3.06066e-5 3.33e-5 -1.94094e-6 2.99244e-5 3.33e-5 -2.3349e-6 3.23934e-5 3.33e-5 -3.93919e-7 3.39688e-5 3.33e-5 1.94106e-6 3.30755e-5 3.57e-5 3.30892e-7 2.94262e-5 3.33e-5 1.70031e-6 3.02676e-5 3.33e-5 -2.07377e-6 3.11691e-5 3.33e-5 -1.23237e-6 2.97997e-5 3.33e-5 -1.70031e-6 3.27324e-5 3.33e-5 -3.30892e-7 3.35738e-5 3.33e-5 1.94094e-6 3.30756e-5 3.33e-5 1.23237e-6 3.32003e-5 3.33e-5 -3.30892e-7 3.35738e-5 2.65e-5 -1.70031e-6 3.27324e-5 2.65e-5 2.07377e-6 3.18309e-5 3.33e-5 1.23237e-6 3.32003e-5 2.65e-5 2.07377e-6 3.18309e-5 2.65e-5 1.70031e-6 3.02676e-5 2.65e-5 3.30892e-7 2.94262e-5 2.65e-5 -1.23237e-6 2.97997e-5 2.65e-5 -2.07377e-6 3.11691e-5 2.65e-5 -3.17729e-5 1.71041e-6 3.85e-5 -3.61699e-5 1.78664e-6 3.85e-5 -3.64375e-5 -7.87838e-7 3.85e-5 -3.64375e-5 -7.87838e-7 3.82e-5 -3.28448e-5 -1.09156e-6 3.85e-5 -3.5382e-5 -3.15117e-6 3.85e-5 -3.53821e-5 -3.15106e-6 3.82e-5 -3.31177e-5 6.18856e-7 3.85e-5 -2.97134e-5 4.66985e-6 3.85e-5 -3.46512e-5 3.88197e-6 3.85e-5 -3.617e-5 1.78648e-6 3.82e-5 -2.7618e-5 3.15117e-6 3.85e-5 -3.22878e-5 4.93754e-6 3.85e-5 -3.46511e-5 3.88212e-6 3.82e-5 -3.22878e-5 4.93754e-6 3.82e-5 -2.97135e-5 4.66996e-6 3.82e-5 -3.01552e-5 1.09156e-6 3.85e-5 -2.65625e-5 7.87838e-7 3.85e-5 -2.76179e-5 3.15106e-6 3.82e-5 -3.12271e-5 -1.71041e-6 3.85e-5 -2.68301e-5 -1.78664e-6 3.85e-5 -2.65625e-5 7.87838e-7 3.82e-5 -2.98823e-5 -6.18856e-7 3.85e-5 -3.32866e-5 -4.66985e-6 3.85e-5 -2.83488e-5 -3.88197e-6 3.85e-5 -2.683e-5 -1.78648e-6 3.82e-5 -3.07122e-5 -4.93754e-6 3.85e-5 -2.83489e-5 -3.88212e-6 3.82e-5 -3.07122e-5 -4.93754e-6 3.82e-5 -3.32865e-5 -4.66996e-6 3.82e-5 -3.28448e-5 -1.09156e-6 3.62e-5 -3.31177e-5 6.18856e-7 3.62e-5 -3.12271e-5 -1.71041e-6 3.62e-5 -2.98823e-5 -6.18856e-7 3.62e-5 -3.01552e-5 1.09156e-6 3.62e-5 -3.17729e-5 1.71041e-6 3.62e-5 -2.90312e-5 3.93919e-7 3.57e-5 -3.06068e-5 2.33498e-6 3.57e-5 -2.99245e-5 -1.94106e-6 3.57e-5 -3.23932e-5 -2.33498e-6 3.57e-5 -3.39688e-5 -3.93919e-7 3.57e-5 -2.90312e-5 3.93919e-7 3.33e-5 -3.06066e-5 2.3349e-6 3.33e-5 -2.99244e-5 -1.94094e-6 3.33e-5 -3.23934e-5 -2.3349e-6 3.33e-5 -3.39688e-5 -3.93919e-7 3.33e-5 -3.30755e-5 1.94106e-6 3.57e-5 -2.94262e-5 3.30892e-7 3.33e-5 -3.02676e-5 1.70031e-6 3.33e-5 -3.11691e-5 -2.07377e-6 3.33e-5 -2.97997e-5 -1.23237e-6 3.33e-5 -3.27324e-5 -1.70031e-6 3.33e-5 -3.35738e-5 -3.30892e-7 3.33e-5 -3.30756e-5 1.94094e-6 3.33e-5 -3.32003e-5 1.23237e-6 3.33e-5 -3.35738e-5 -3.30892e-7 2.65e-5 -3.27324e-5 -1.70031e-6 2.65e-5 -3.18309e-5 2.07377e-6 3.33e-5 -3.32003e-5 1.23237e-6 2.65e-5 -3.18309e-5 2.07377e-6 2.65e-5 -3.02676e-5 1.70031e-6 2.65e-5 -2.94262e-5 3.30892e-7 2.65e-5 -2.97997e-5 -1.23237e-6 2.65e-5 -3.11691e-5 -2.07377e-6 2.65e-5 -1.71041e-6 -3.17729e-5 3.85e-5 -1.78664e-6 -3.61699e-5 3.85e-5 7.87838e-7 -3.64375e-5 3.85e-5 7.87838e-7 -3.64375e-5 3.82e-5 1.09156e-6 -3.28448e-5 3.85e-5 3.15117e-6 -3.5382e-5 3.85e-5 3.15106e-6 -3.53821e-5 3.82e-5 -6.18856e-7 -3.31177e-5 3.85e-5 -4.66985e-6 -2.97134e-5 3.85e-5 -3.88197e-6 -3.46512e-5 3.85e-5 -1.78648e-6 -3.617e-5 3.82e-5 -3.15117e-6 -2.7618e-5 3.85e-5 -4.93754e-6 -3.22878e-5 3.85e-5 -3.88212e-6 -3.46511e-5 3.82e-5 -4.93754e-6 -3.22878e-5 3.82e-5 -4.66996e-6 -2.97135e-5 3.82e-5 -1.09156e-6 -3.01552e-5 3.85e-5 -7.87838e-7 -2.65625e-5 3.85e-5 -3.15106e-6 -2.76179e-5 3.82e-5 1.71041e-6 -3.12271e-5 3.85e-5 1.78664e-6 -2.68301e-5 3.85e-5 -7.87838e-7 -2.65625e-5 3.82e-5 6.18856e-7 -2.98823e-5 3.85e-5 4.66985e-6 -3.32866e-5 3.85e-5 3.88197e-6 -2.83488e-5 3.85e-5 1.78648e-6 -2.683e-5 3.82e-5 4.93754e-6 -3.07122e-5 3.85e-5 3.88212e-6 -2.83489e-5 3.82e-5 4.93754e-6 -3.07122e-5 3.82e-5 4.66996e-6 -3.32865e-5 3.82e-5 1.09156e-6 -3.28448e-5 3.62e-5 -6.18856e-7 -3.31177e-5 3.62e-5 1.71041e-6 -3.12271e-5 3.62e-5 6.18856e-7 -2.98823e-5 3.62e-5 -1.09156e-6 -3.01552e-5 3.62e-5 -1.71041e-6 -3.17729e-5 3.62e-5 -3.93919e-7 -2.90312e-5 3.57e-5 -2.33498e-6 -3.06068e-5 3.57e-5 1.94106e-6 -2.99245e-5 3.57e-5 2.33498e-6 -3.23932e-5 3.57e-5 3.93919e-7 -3.39688e-5 3.57e-5 -3.93919e-7 -2.90312e-5 3.33e-5 -2.3349e-6 -3.06066e-5 3.33e-5 1.94094e-6 -2.99244e-5 3.33e-5 2.3349e-6 -3.23934e-5 3.33e-5 3.93919e-7 -3.39688e-5 3.33e-5 -1.94106e-6 -3.30755e-5 3.57e-5 -3.30892e-7 -2.94262e-5 3.33e-5 -1.70031e-6 -3.02676e-5 3.33e-5 2.07377e-6 -3.11691e-5 3.33e-5 1.23237e-6 -2.97997e-5 3.33e-5 1.70031e-6 -3.27324e-5 3.33e-5 3.30892e-7 -3.35738e-5 3.33e-5 -1.94094e-6 -3.30756e-5 3.33e-5 -1.23237e-6 -3.32003e-5 3.33e-5 3.30892e-7 -3.35738e-5 2.65e-5 1.70031e-6 -3.27324e-5 2.65e-5 -2.07377e-6 -3.18309e-5 3.33e-5 -1.23237e-6 -3.32003e-5 2.65e-5 -2.07377e-6 -3.18309e-5 2.65e-5 -1.70031e-6 -3.02676e-5 2.65e-5 -3.30892e-7 -2.94262e-5 2.65e-5 1.23237e-6 -2.97997e-5 2.65e-5 2.07377e-6 -3.11691e-5 2.65e-5 -9.1657e-6 8.05295e-6 -4.875e-5 -9.1657e-6 8.05295e-6 -4.775e-5 -8.03433e-6 9.18432e-6 -4.775e-5 -7.46865e-6 8.61864e-6 -4.775e-5 -8.03433e-6 9.18432e-6 -4.875e-5 -7.46865e-6 8.61864e-6 -4.875e-5 -8.60002e-6 7.48727e-6 -4.775e-5 -8.60002e-6 7.48727e-6 -4.875e-5 -9.73139e-6 3.88102e-6 -4.875e-5 -9.73139e-6 3.88102e-6 -4.775e-5 -8.60002e-6 5.01239e-6 -4.775e-5 -8.03433e-6 4.44671e-6 -4.775e-5 -8.60002e-6 5.01239e-6 -4.875e-5 -8.03433e-6 4.44671e-6 -4.875e-5 -9.1657e-6 3.31534e-6 -4.775e-5 -9.1657e-6 3.31534e-6 -4.875e-5 -4.40334e-6 7.95749e-6 -4.585e-5 -7.93887e-6 1.1493e-5 -4.675e-5 -7.93887e-6 1.1493e-5 -4.585e-5 -1.14744e-5 7.95749e-6 -4.675e-5 -7.93887e-6 4.42196e-6 -4.585e-5 -1.14744e-5 7.95749e-6 -4.585e-5 -4.40334e-6 7.95749e-6 -4.675e-5 -7.93887e-6 4.42196e-6 -4.675e-5 -1.19411e-5 4.35832e-6 -4.82e-5 -1.19411e-5 4.35832e-6 -4.775e-5 -1.08097e-5 3.22695e-6 -4.775e-5 -1.13754e-5 2.66126e-6 -4.775e-5 -1.08097e-5 3.22695e-6 -4.82e-5 -1.25068e-5 3.79263e-6 -4.82e-5 -1.25068e-5 3.79263e-6 -4.775e-5 -1.13754e-5 2.66126e-6 -4.82e-5 -8.26414e-6 7.15139e-6 -4.875e-5 -8.26414e-6 7.15139e-6 -4.775e-5 -7.13277e-6 8.28276e-6 -4.775e-5 -6.56708e-6 7.71708e-6 -4.775e-5 -7.13277e-6 8.28276e-6 -4.875e-5 -6.56708e-6 7.71708e-6 -4.875e-5 -7.69846e-6 6.5857e-6 -4.775e-5 -7.69846e-6 6.5857e-6 -4.875e-5 1.36186e-5 4.32863e-6 -4.545e-5 1.2912e-5 6.59768e-6 -4.545e-5 1.43189e-5 2.28473e-6 -4.545e-5 1.43189e-5 2.28473e-6 -4.445e-5 1.42842e-5 4.07147e-7 -4.545e-5 1.43241e-5 -2.25187e-6 -4.545e-5 1.43241e-5 -2.25187e-6 -4.445e-5 1.4246e-5 1.12088e-6 -4.545e-5 1.41815e-5 1.75779e-6 -4.545e-5 1.40885e-5 2.39116e-6 -4.545e-5 1.39513e-5 3.09263e-6 -4.545e-5 1.37988e-5 3.71436e-6 -4.545e-5 1.14873e-5 8.49978e-6 -4.545e-5 1.02413e-5 1.02648e-5 -4.545e-5 1.2912e-5 6.59768e-6 -4.445e-5 1.33852e-5 5.00418e-6 -4.545e-5 1.31476e-5 5.59864e-6 -4.545e-5 1.28837e-5 6.18185e-6 -4.545e-5 1.25584e-5 6.81834e-6 -4.545e-5 1.22405e-5 7.37394e-6 -4.545e-5 1.18979e-5 7.91475e-6 -4.545e-5 8.18297e-6 1.17151e-5 -4.545e-5 6.56803e-6 1.29271e-5 -4.545e-5 1.02413e-5 1.02648e-5 -4.445e-5 1.10951e-5 9.00572e-6 -4.545e-5 1.06806e-5 9.4936e-6 -4.545e-5 1.01926e-5 1.00158e-5 -4.545e-5 9.73376e-6 1.04622e-5 -4.545e-5 9.25542e-6 1.08877e-5 -4.545e-5 8.69944e-6 1.13368e-5 -4.545e-5 4.02684e-6 1.37109e-5 -4.545e-5 2.25187e-6 1.43241e-5 -4.545e-5 6.56803e-6 1.29271e-5 -4.445e-5 7.65008e-6 1.20698e-5 -4.545e-5 7.03699e-6 1.24372e-5 -4.545e-5 6.47291e-6 1.27399e-5 -4.545e-5 5.89584e-6 1.3017e-5 -4.545e-5 5.23758e-6 1.32956e-5 -4.545e-5 4.63686e-6 1.35168e-5 -4.545e-5 0 1.42897e-5 -4.545e-5 -2.28473e-6 1.43189e-5 -4.545e-5 2.25187e-6 1.43241e-5 -4.445e-5 3.33623e-6 1.38951e-5 -4.545e-5 2.71056e-6 1.40306e-5 -4.545e-5 2.07946e-6 1.41379e-5 -4.545e-5 1.36993e-6 1.42242e-5 -4.545e-5 7.31507e-7 1.42713e-5 -4.545e-5 -4.534e-6 1.35516e-5 -4.545e-5 -6.59768e-6 1.2912e-5 -4.545e-5 -2.28473e-6 1.43189e-5 -4.445e-5 -6.23022e-7 1.42764e-5 -4.545e-5 -1.26179e-6 1.42342e-5 -4.545e-5 -1.89802e-6 1.41634e-5 -4.545e-5 -2.60385e-6 1.40508e-5 -4.545e-5 -3.23052e-6 1.392e-5 -4.545e-5 -3.85071e-6 1.37614e-5 -4.545e-5 -8.61302e-6 1.14026e-5 -4.545e-5 -1.02648e-5 1.02413e-5 -4.545e-5 -6.59768e-6 1.2912e-5 -4.445e-5 -5.13638e-6 1.3335e-5 -4.545e-5 -5.72845e-6 1.30916e-5 -4.545e-5 -6.3759e-6 1.27887e-5 -4.545e-5 -6.94226e-6 1.24904e-5 -4.545e-5 -7.4947e-6 1.21669e-5 -4.545e-5 -8.0937e-6 1.17769e-5 -4.545e-5 -1.17955e-5 8.06665e-6 -4.545e-5 -1.29271e-5 6.56803e-6 -4.545e-5 -1.02648e-5 1.02413e-5 -4.445e-5 -9.11507e-6 1.10054e-5 -4.545e-5 -9.65396e-6 1.05359e-5 -4.545e-5 -1.01161e-5 1.0093e-5 -4.545e-5 -1.0558e-5 9.62976e-6 -4.545e-5 -1.10263e-5 9.08979e-6 -4.545e-5 -1.14224e-5 8.58684e-6 -4.545e-5 -1.3562e-5 4.50289e-6 -4.545e-5 -1.43241e-5 2.25187e-6 -4.545e-5 -1.29271e-5 6.56803e-6 -4.445e-5 -1.21841e-5 7.46676e-6 -4.545e-5 -1.25063e-5 6.91358e-6 -4.545e-5 -1.28033e-5 6.34653e-6 -4.545e-5 -1.31047e-5 5.6984e-6 -4.545e-5 -1.33467e-5 5.10577e-6 -4.545e-5 -1.42895e-5 -1.24403e-7 -4.545e-5 -1.43189e-5 -2.28473e-6 -4.545e-5 -1.43241e-5 2.25187e-6 -4.445e-5 -1.37702e-5 3.81912e-6 -4.545e-5 -1.39274e-5 3.19857e-6 -4.545e-5 -1.40567e-5 2.5716e-6 -4.545e-5 -1.16172e-5 2.01134e-6 -4.545e-5 -1.41677e-5 1.86552e-6 -4.545e-5 -1.4237e-5 1.22912e-6 -4.545e-5 -1.42778e-5 5.9026e-7 -4.545e-5 -1.35061e-5 -4.66787e-6 -4.545e-5 -1.2912e-5 -6.59768e-6 -4.545e-5 -1.43189e-5 -2.28473e-6 -4.445e-5 -1.42695e-5 -7.64254e-7 -4.545e-5 -1.4221e-5 -1.40257e-6 -4.545e-5 -1.41331e-5 -2.1119e-6 -4.545e-5 -1.40243e-5 -2.74275e-6 -4.545e-5 -1.38874e-5 -3.3681e-6 -4.545e-5 -1.37016e-5 -4.05829e-6 -4.545e-5 -1.13168e-5 -8.72543e-6 -4.545e-5 -1.02413e-5 -1.02648e-5 -4.545e-5 -1.2912e-5 -6.59768e-6 -4.445e-5 -1.32835e-5 -5.26808e-6 -4.545e-5 -1.30035e-5 -5.92569e-6 -4.545e-5 -1.2725e-5 -6.50213e-6 -4.545e-5 -1.24211e-5 -7.06551e-6 -4.545e-5 -1.20522e-5 -7.67776e-6 -4.545e-5 -1.16963e-5 -8.20983e-6 -4.545e-5 -8.47339e-6 -1.15068e-5 -4.545e-5 -6.56803e-6 -1.29271e-5 -4.545e-5 -1.02413e-5 -1.02648e-5 -4.445e-5 -1.08664e-5 -9.28038e-6 -4.545e-5 -1.04399e-5 -9.75774e-6 -4.545e-5 -9.99236e-6 -1.02155e-5 -4.545e-5 -9.46906e-6 -1.07024e-5 -4.545e-5 -8.98024e-6 -1.11157e-5 -4.545e-5 -4.29737e-6 -1.36285e-5 -4.545e-5 -2.25187e-6 -1.43241e-5 -4.545e-5 -6.56803e-6 -1.29271e-5 -4.445e-5 -7.88743e-6 -1.19161e-5 -4.545e-5 -7.34583e-6 -1.22574e-5 -4.545e-5 -6.7895e-6 -1.25741e-5 -4.545e-5 -6.15227e-6 -1.28978e-5 -4.545e-5 -5.56845e-6 -1.31604e-5 -4.545e-5 -4.97345e-6 -1.33966e-5 -4.545e-5 2.65788e-7 -1.42875e-5 -4.545e-5 2.28473e-6 -1.43189e-5 -4.545e-5 -2.25187e-6 -1.43241e-5 -4.445e-5 -3.68268e-6 -1.38073e-5 -4.545e-5 -3.06061e-6 -1.39584e-5 -4.545e-5 -2.35883e-6 -1.4094e-5 -4.545e-5 -1.72524e-6 -1.41855e-5 -4.545e-5 -1.08819e-6 -1.42485e-5 -4.545e-5 -3.74368e-7 -1.42851e-5 -4.545e-5 4.80128e-6 -1.34593e-5 -4.545e-5 6.59768e-6 -1.2912e-5 -4.545e-5 2.28473e-6 -1.43189e-5 -4.445e-5 2.25164e-6 -1.41115e-5 -4.545e-5 2.88139e-6 -1.39965e-5 -4.545e-5 3.57764e-6 -1.38349e-5 -4.545e-5 1.61738e-6 -1.41982e-5 -4.545e-5 9.05411e-7 -1.42613e-5 -4.545e-5 4.19367e-6 -1.36608e-5 -4.545e-5 8.32516e-6 -1.16145e-5 -4.545e-5 1.02648e-5 -1.02413e-5 -4.545e-5 6.59768e-6 -1.2912e-5 -4.445e-5 5.46827e-6 -1.32024e-5 -4.545e-5 6.05407e-6 -1.29442e-5 -4.545e-5 6.62772e-6 -1.26601e-5 -4.545e-5 7.25247e-6 -1.23128e-5 -4.545e-5 7.79664e-6 -1.19757e-5 -4.545e-5 1.16335e-5 -8.29849e-6 -4.545e-5 1.29271e-5 -6.56803e-6 -4.545e-5 1.02648e-5 -1.02413e-5 -4.445e-5 8.8955e-6 -1.11837e-5 -4.545e-5 9.38745e-6 -1.0774e-5 -4.545e-5 9.86056e-6 -1.03428e-5 -4.545e-5 8.21625e-6 -8.45561e-6 -4.545e-5 1.03654e-5 -9.8368e-6 -4.545e-5 1.07955e-5 -9.3627e-6 -4.545e-5 1.1204e-5 -8.86981e-6 -4.545e-5 1.36704e-5 -4.16231e-6 -4.545e-5 1.29271e-5 -6.56803e-6 -4.445e-5 1.19935e-5 -7.76914e-6 -4.545e-5 1.23294e-5 -7.22419e-6 -4.545e-5 1.26752e-5 -6.59865e-6 -4.545e-5 1.29581e-5 -6.02435e-6 -4.545e-5 1.32149e-5 -5.43796e-6 -4.545e-5 1.34702e-5 -4.77038e-6 -4.545e-5 1.38431e-5 -3.54588e-6 -4.545e-5 1.40031e-5 -2.84926e-6 -4.545e-5 1.41166e-5 -2.21925e-6 -4.545e-5 1.42018e-5 -1.58479e-6 -4.545e-5 1.42633e-5 -8.72682e-7 -4.545e-5 1.42881e-5 -2.33001e-7 -4.545e-5 -8.43278e-6 2.56758e-6 -4.545e-5 -4.85785e-6 3.52145e-6 -4.545e-5 -5.92505e-6 -9.45406e-7 -4.545e-5 -5.92505e-6 -9.45406e-7 -4.145e-5 -8.67603e-6 -1.55906e-6 -4.545e-5 -3.52076e-6 -4.85835e-6 -4.545e-5 -3.52106e-6 -4.85804e-6 -4.145e-5 -8.56008e-6 2.10459e-6 -4.545e-5 -8.62059e-6 1.84112e-6 -4.545e-5 -8.70805e-6 1.36898e-6 -4.545e-5 -8.76967e-6 8.92772e-7 -4.545e-5 -8.79292e-6 6.23453e-7 -4.545e-5 -8.81383e-6 1.4373e-7 -4.545e-5 -8.80858e-6 -3.36419e-7 -4.545e-5 -8.79412e-6 -6.06353e-7 -4.545e-5 -8.74806e-6 -1.08432e-6 -4.545e-5 -7.39838e-6 4.79251e-6 -4.545e-5 -9.45389e-7 5.92495e-6 -4.545e-5 -4.85804e-6 3.52106e-6 -4.145e-5 -7.64837e-6 4.38254e-6 -4.545e-5 -7.77916e-6 4.14596e-6 -4.545e-5 -7.99337e-6 3.71621e-6 -4.545e-5 -8.18387e-6 3.27544e-6 -4.545e-5 -8.28046e-6 3.02296e-6 -4.545e-5 6.92855e-6 5.44972e-6 -4.545e-5 3.52076e-6 4.85835e-6 -4.545e-5 -9.45406e-7 5.92505e-6 -4.145e-5 -7.12644e-6 5.18826e-6 -4.545e-5 5.53959e-6 6.8569e-6 -4.545e-5 6.75819e-6 5.6596e-6 -4.545e-5 6.43998e-6 6.01921e-6 -4.545e-5 6.10266e-6 6.36095e-6 -4.545e-5 5.90475e-6 6.54508e-6 -4.545e-5 8.65111e-6 1.69191e-6 -4.545e-5 5.92505e-6 9.45406e-7 -4.545e-5 3.52106e-6 4.85804e-6 -4.145e-5 8.54614e-6 2.16047e-6 -4.545e-5 8.47588e-6 2.4215e-6 -4.545e-5 8.33145e-6 2.87944e-6 -4.545e-5 8.16229e-6 3.32884e-6 -4.545e-5 8.05638e-6 3.57755e-6 -4.545e-5 7.84962e-6 4.01094e-6 -4.545e-5 7.61957e-6 4.43242e-6 -4.545e-5 7.48008e-6 4.66397e-6 -4.545e-5 7.21502e-6 5.06436e-6 -4.545e-5 8.39242e-6 -2.69658e-6 -4.545e-5 4.85785e-6 -3.52145e-6 -4.545e-5 5.92505e-6 9.45406e-7 -4.145e-5 8.47115e-6 -2.43798e-6 -4.545e-5 8.59134e-6 -1.97309e-6 -4.545e-5 8.68603e-6 -1.50234e-6 -4.545e-5 8.72802e-6 -1.2353e-6 -4.545e-5 8.78233e-6 -7.58202e-7 -4.545e-5 8.81059e-6 -2.78856e-7 -4.545e-5 8.815e-6 0 -4.545e-5 8.80238e-6 4.71441e-7 -4.545e-5 8.76365e-6 9.50055e-7 -4.545e-5 8.7304e-6 1.21832e-6 -4.545e-5 7.32403e-6 -4.90538e-6 -4.545e-5 9.45389e-7 -5.92495e-6 -4.545e-5 4.85804e-6 -3.52106e-6 -4.145e-5 7.471e-6 -4.6785e-6 -4.545e-5 7.71467e-6 -4.26475e-6 -4.545e-5 7.93545e-6 -3.83834e-6 -4.545e-5 8.04941e-6 -3.59321e-6 -4.545e-5 8.23313e-6 -3.14957e-6 -4.545e-5 -6.84417e-6 -5.55532e-6 -4.545e-5 9.45406e-7 -5.92505e-6 -4.145e-5 -6.53152e-6 -5.91976e-6 -4.545e-5 -6.34693e-6 -6.11724e-6 -4.545e-5 -6.00441e-6 -6.45378e-6 -4.545e-5 -5.64408e-6 -6.77116e-6 -4.545e-5 -5.43381e-6 -6.94103e-6 -4.545e-5 7.04605e-6 -5.29692e-6 -4.545e-5 -8.62415e-6 -1.82436e-6 -4.545e-5 -8.51201e-6 -2.29126e-6 -4.545e-5 -8.37462e-6 -2.75136e-6 -4.545e-5 -8.28632e-6 -3.00685e-6 -4.545e-5 -8.11029e-6 -3.4536e-6 -4.545e-5 -7.9102e-6 -3.89011e-6 -4.545e-5 -7.7872e-6 -4.13082e-6 -4.545e-5 -7.55072e-6 -4.54873e-6 -4.545e-5 -7.29182e-6 -4.95313e-6 -4.545e-5 -7.13652e-6 -5.17439e-6 -4.545e-5 2.88139e-6 -1.39965e-5 -4.54e-5 2.48699e-6 -1.15247e-5 -4.545e-5 2.48699e-6 -1.15247e-5 -4.54e-5 2.25164e-6 -1.41115e-5 -4.54e-5 1.22298e-6 -1.17264e-5 -4.545e-5 1.61738e-6 -1.41982e-5 -4.54e-5 1.85772e-6 -1.16427e-5 -4.545e-5 1.22298e-6 -1.17264e-5 -4.54e-5 8.58855e-7 -1.17587e-5 -4.545e-5 1.85772e-6 -1.16427e-5 -4.54e-5 2.84308e-6 -1.14421e-5 -4.545e-5 4.80128e-6 -1.34593e-5 -4.54e-5 4.06672e-6 -1.10664e-5 -4.545e-5 4.06672e-6 -1.10664e-5 -4.54e-5 4.19367e-6 -1.36608e-5 -4.54e-5 3.57764e-6 -1.38349e-5 -4.54e-5 2.19289e-7 -1.1788e-5 -4.545e-5 3.46e-6 -1.12709e-5 -4.545e-5 2.84308e-6 -1.14421e-5 -4.54e-5 -4.20923e-7 -1.17825e-5 -4.545e-5 3.46e-6 -1.12709e-5 -4.54e-5 4.40783e-6 -1.0935e-5 -4.545e-5 -7.85995e-7 -1.17638e-5 -4.545e-5 6.62772e-6 -1.26601e-5 -4.54e-5 5.56729e-6 -1.03928e-5 -4.545e-5 5.56729e-6 -1.03928e-5 -4.54e-5 6.05407e-6 -1.29442e-5 -4.54e-5 5.46827e-6 -1.32024e-5 -4.54e-5 1.79233e-6 -1.12329e-5 -4.545e-5 4.99493e-6 -1.06796e-5 -4.545e-5 4.40783e-6 -1.0935e-5 -4.54e-5 -1.42341e-6 -1.17038e-5 -4.545e-5 8.0523e-6 -8.03422e-6 -4.545e-5 4.99493e-6 -1.06796e-5 -4.54e-5 5.8868e-6 -1.02152e-5 -4.545e-5 8.32516e-6 -1.16145e-5 -4.54e-5 6.9595e-6 -9.5168e-6 -4.545e-5 6.9595e-6 -9.5168e-6 -4.54e-5 7.79664e-6 -1.19757e-5 -4.54e-5 7.25247e-6 -1.23128e-5 -4.54e-5 6.43263e-6 -9.88055e-6 -4.545e-5 5.8868e-6 -1.02152e-5 -4.54e-5 6.43263e-6 -9.88055e-6 -4.54e-5 7.25119e-6 -9.29647e-6 -4.545e-5 9.86056e-6 -1.03428e-5 -4.54e-5 8.21625e-6 -8.45561e-6 -4.54e-5 9.38745e-6 -1.0774e-5 -4.54e-5 8.8955e-6 -1.11837e-5 -4.54e-5 7.74514e-6 -8.88915e-6 -4.545e-5 7.25119e-6 -9.29647e-6 -4.54e-5 7.74514e-6 -8.88915e-6 -4.54e-5 8.47444e-6 -8.19683e-6 -4.545e-5 1.1204e-5 -8.86981e-6 -4.54e-5 9.31309e-6 -7.22984e-6 -4.545e-5 9.31309e-6 -7.22984e-6 -4.54e-5 1.07955e-5 -9.3627e-6 -4.54e-5 1.03654e-5 -9.8368e-6 -4.54e-5 8.90689e-6 -7.72472e-6 -4.545e-5 8.47444e-6 -8.19683e-6 -4.54e-5 1.1237e-5 -1.76602e-6 -4.545e-5 8.90689e-6 -7.72472e-6 -4.54e-5 9.53274e-6 -6.93764e-6 -4.545e-5 1.23294e-5 -7.22419e-6 -4.54e-5 1.02286e-5 -5.86335e-6 -4.545e-5 1.02286e-5 -5.86335e-6 -4.54e-5 1.19935e-5 -7.76914e-6 -4.54e-5 1.16335e-5 -8.29849e-6 -4.54e-5 9.89529e-6 -6.40994e-6 -4.545e-5 9.53274e-6 -6.93764e-6 -4.54e-5 9.89529e-6 -6.40994e-6 -4.54e-5 1.04055e-5 -5.54342e-6 -4.545e-5 1.32149e-5 -5.43796e-6 -4.54e-5 1.09451e-5 -4.38273e-6 -4.545e-5 1.09451e-5 -4.38273e-6 -4.54e-5 1.29581e-5 -6.02435e-6 -4.54e-5 1.26752e-5 -6.59865e-6 -4.54e-5 1.06911e-5 -4.97041e-6 -4.545e-5 1.04055e-5 -5.54342e-6 -4.54e-5 1.06911e-5 -4.97041e-6 -4.54e-5 1.10757e-5 -4.04131e-6 -4.545e-5 1.38431e-5 -3.54588e-6 -4.54e-5 1.14486e-5 -2.81681e-6 -4.545e-5 1.14486e-5 -2.81681e-6 -4.54e-5 1.36704e-5 -4.16231e-6 -4.54e-5 1.34702e-5 -4.77038e-6 -4.54e-5 1.12788e-5 -3.43412e-6 -4.545e-5 1.10757e-5 -4.04131e-6 -4.54e-5 1.12788e-5 -3.43412e-6 -4.54e-5 1.15304e-5 -2.46054e-6 -4.545e-5 1.42018e-5 -1.58479e-6 -4.54e-5 1.17292e-5 -1.19607e-6 -4.545e-5 1.17292e-5 -1.19607e-6 -4.54e-5 1.41166e-5 -2.21925e-6 -4.54e-5 1.40031e-5 -2.84926e-6 -4.54e-5 1.1647e-5 -1.831e-6 -4.545e-5 1.15304e-5 -2.46054e-6 -4.54e-5 1.1647e-5 -1.831e-6 -4.54e-5 1.17606e-5 -8.3187e-7 -4.545e-5 1.01295e-5 5.17527e-6 -4.545e-5 1.42842e-5 4.07147e-7 -4.54e-5 1.17815e-5 4.4796e-7 -4.545e-5 1.17815e-5 4.4796e-7 -4.54e-5 1.42881e-5 -2.33001e-7 -4.54e-5 1.42633e-5 -8.72682e-7 -4.54e-5 1.17884e-5 -1.92238e-7 -4.545e-5 1.17606e-5 -8.3187e-7 -4.54e-5 1.17884e-5 -1.92238e-7 -4.54e-5 1.17619e-5 8.12987e-7 -4.545e-5 1.40885e-5 2.39116e-6 -4.54e-5 1.15343e-5 2.44202e-6 -4.545e-5 1.16045e-5 2.08327e-6 -4.545e-5 1.16045e-5 2.08327e-6 -4.54e-5 1.41815e-5 1.75779e-6 -4.54e-5 1.4246e-5 1.12088e-6 -4.54e-5 1.17005e-5 1.45027e-6 -4.545e-5 1.17619e-5 8.12987e-7 -4.54e-5 1.17005e-5 1.45027e-6 -4.54e-5 1.36186e-5 4.32863e-6 -4.54e-5 1.10822e-5 4.02352e-6 -4.545e-5 1.12016e-5 3.67802e-6 -4.545e-5 1.12016e-5 3.67802e-6 -4.54e-5 1.37988e-5 3.71436e-6 -4.54e-5 1.39513e-5 3.09263e-6 -4.54e-5 1.13848e-5 3.06454e-6 -4.545e-5 1.15343e-5 2.44202e-6 -4.54e-5 1.13848e-5 3.06454e-6 -4.54e-5 1.28837e-5 6.18185e-6 -4.54e-5 1.04144e-5 5.52671e-6 -4.545e-5 1.05807e-5 5.20119e-6 -4.545e-5 1.05807e-5 5.20119e-6 -4.54e-5 1.31476e-5 5.59864e-6 -4.54e-5 1.33852e-5 5.00418e-6 -4.54e-5 1.08475e-5 4.61917e-6 -4.545e-5 1.10822e-5 4.02352e-6 -4.54e-5 1.08475e-5 4.61917e-6 -4.54e-5 1.18979e-5 7.91475e-6 -4.54e-5 9.54387e-6 6.92233e-6 -4.545e-5 9.75389e-6 6.62313e-6 -4.545e-5 9.75389e-6 6.62313e-6 -4.54e-5 1.22405e-5 7.37394e-6 -4.54e-5 1.25584e-5 6.81834e-6 -4.54e-5 5.15223e-6 1.01411e-5 -4.545e-5 1.0099e-5 6.08389e-6 -4.545e-5 1.04144e-5 5.52671e-6 -4.54e-5 1.0099e-5 6.08389e-6 -4.54e-5 1.06806e-5 9.4936e-6 -4.54e-5 8.48759e-6 8.18321e-6 -4.545e-5 8.7372e-6 7.91615e-6 -4.545e-5 8.7372e-6 7.91615e-6 -4.54e-5 1.10951e-5 9.00572e-6 -4.54e-5 1.14873e-5 8.49978e-6 -4.54e-5 9.15403e-6 7.43019e-6 -4.545e-5 9.54387e-6 6.92233e-6 -4.54e-5 9.15403e-6 7.43019e-6 -4.54e-5 9.25542e-6 1.08877e-5 -4.54e-5 7.2661e-6 9.28482e-6 -4.545e-5 7.55045e-6 9.05509e-6 -4.545e-5 7.55045e-6 9.05509e-6 -4.54e-5 9.73376e-6 1.04622e-5 -4.54e-5 1.01926e-5 1.00158e-5 -4.54e-5 8.03086e-6 8.63188e-6 -4.545e-5 8.48759e-6 8.18321e-6 -4.54e-5 8.03086e-6 8.63188e-6 -4.54e-5 7.65008e-6 1.20698e-5 -4.54e-5 5.90319e-6 1.02057e-5 -4.545e-5 6.21675e-6 1.00178e-5 -4.545e-5 6.21675e-6 1.00178e-5 -4.54e-5 8.18297e-6 1.17151e-5 -4.54e-5 8.69944e-6 1.13368e-5 -4.54e-5 6.75138e-6 9.66555e-6 -4.545e-5 7.2661e-6 9.28482e-6 -4.54e-5 6.75138e-6 9.66555e-6 -4.54e-5 5.89584e-6 1.3017e-5 -4.54e-5 4.42539e-6 1.09279e-5 -4.545e-5 4.76204e-6 1.07855e-5 -4.545e-5 4.76204e-6 1.07855e-5 -4.54e-5 6.47291e-6 1.27399e-5 -4.54e-5 7.03699e-6 1.24372e-5 -4.54e-5 5.34049e-6 1.05111e-5 -4.545e-5 5.90319e-6 1.02057e-5 -4.54e-5 -1.79233e-6 1.12329e-5 -4.545e-5 5.34049e-6 1.05111e-5 -4.54e-5 4.02684e-6 1.37109e-5 -4.54e-5 2.86144e-6 1.14375e-5 -4.545e-5 3.21464e-6 1.13433e-5 -4.545e-5 3.21464e-6 1.13433e-5 -4.54e-5 4.63686e-6 1.35168e-5 -4.54e-5 5.23758e-6 1.32956e-5 -4.54e-5 3.82566e-6 1.11521e-5 -4.545e-5 4.42539e-6 1.09279e-5 -4.54e-5 3.82566e-6 1.11521e-5 -4.54e-5 2.07946e-6 1.41379e-5 -4.54e-5 1.2418e-6 1.17244e-5 -4.545e-5 1.60468e-6 1.16803e-5 -4.545e-5 1.60468e-6 1.16803e-5 -4.54e-5 2.71056e-6 1.40306e-5 -4.54e-5 3.33623e-6 1.38951e-5 -4.54e-5 2.23636e-6 1.1576e-5 -4.545e-5 2.86144e-6 1.14375e-5 -4.54e-5 2.23636e-6 1.1576e-5 -4.54e-5 0 1.42897e-5 -4.54e-5 -4.02006e-7 1.17831e-5 -4.545e-5 0 1.17899e-5 -4.545e-5 0 1.17899e-5 -4.54e-5 7.31507e-7 1.42713e-5 -4.54e-5 1.36993e-6 1.42242e-5 -4.54e-5 -4.23778e-6 1.10021e-5 -4.545e-5 6.03532e-7 1.17745e-5 -4.545e-5 1.2418e-6 1.17244e-5 -4.54e-5 -4.82876e-6 1.07558e-5 -4.545e-5 -3.63431e-6 1.12159e-5 -4.545e-5 6.03532e-7 1.17745e-5 -4.54e-5 -3.28485e-6 1.13232e-5 -4.545e-5 -1.89802e-6 1.41634e-5 -4.54e-5 -1.67701e-6 1.16701e-5 -4.545e-5 -1.67701e-6 1.16701e-5 -4.54e-5 -1.26179e-6 1.42342e-5 -4.54e-5 -6.23022e-7 1.42764e-5 -4.54e-5 -2.66535e-6 1.14848e-5 -4.545e-5 -1.04104e-6 1.17439e-5 -4.545e-5 -4.02006e-7 1.17831e-5 -4.54e-5 -2.03799e-6 1.16125e-5 -4.545e-5 -1.04104e-6 1.17439e-5 -4.54e-5 -3.85071e-6 1.37614e-5 -4.54e-5 -3.28485e-6 1.13232e-5 -4.54e-5 -3.23052e-6 1.392e-5 -4.54e-5 -2.60385e-6 1.40508e-5 -4.54e-5 -2.03799e-6 1.16125e-5 -4.54e-5 -2.66535e-6 1.14848e-5 -4.54e-5 -5.72845e-6 1.30916e-5 -4.54e-5 -4.82876e-6 1.07558e-5 -4.54e-5 -5.13638e-6 1.3335e-5 -4.54e-5 -4.534e-6 1.35516e-5 -4.54e-5 -3.63431e-6 1.12159e-5 -4.54e-5 -4.23778e-6 1.10021e-5 -4.54e-5 -5.15989e-6 1.06009e-5 -4.545e-5 -7.4947e-6 1.21669e-5 -4.54e-5 -6.27869e-6 9.97909e-6 -4.545e-5 -6.27869e-6 9.97909e-6 -4.54e-5 -6.94226e-6 1.24904e-5 -4.54e-5 -6.3759e-6 1.27887e-5 -4.54e-5 -8.0523e-6 8.03422e-6 -4.545e-5 -5.72773e-6 1.03052e-5 -4.545e-5 -5.15989e-6 1.06009e-5 -4.54e-5 -5.72773e-6 1.03052e-5 -4.54e-5 -6.58504e-6 9.77964e-6 -4.545e-5 -9.11507e-6 1.10054e-5 -4.54e-5 -7.6064e-6 9.00815e-6 -4.545e-5 -7.6064e-6 9.00815e-6 -4.54e-5 -8.61302e-6 1.14026e-5 -4.54e-5 -8.0937e-6 1.17769e-5 -4.54e-5 -7.1062e-6 9.40777e-6 -4.545e-5 -6.58504e-6 9.77964e-6 -4.54e-5 -7.1062e-6 9.40777e-6 -4.54e-5 -7.88201e-6 8.76801e-6 -4.545e-5 -1.0558e-5 9.62976e-6 -4.54e-5 -8.78607e-6 7.86187e-6 -4.545e-5 -8.78607e-6 7.86187e-6 -4.54e-5 -1.01161e-5 1.0093e-5 -4.54e-5 -9.65396e-6 1.05359e-5 -4.54e-5 -8.34635e-6 8.32722e-6 -4.545e-5 -7.88201e-6 8.76801e-6 -4.54e-5 -8.34635e-6 8.32722e-6 -4.54e-5 -9.02558e-6 7.58571e-6 -4.545e-5 -1.1237e-5 1.76602e-6 -4.545e-5 -1.17955e-5 8.06665e-6 -4.54e-5 -9.79473e-6 6.56258e-6 -4.545e-5 -9.79473e-6 6.56258e-6 -4.54e-5 -1.14224e-5 8.58684e-6 -4.54e-5 -1.10263e-5 9.08979e-6 -4.54e-5 -9.42405e-6 7.08459e-6 -4.545e-5 -9.02558e-6 7.58571e-6 -4.54e-5 -9.42405e-6 7.08459e-6 -4.54e-5 -9.99347e-6 6.25577e-6 -4.545e-5 -1.28033e-5 6.34653e-6 -4.54e-5 -1.06127e-5 5.13555e-6 -4.545e-5 -1.06127e-5 5.13555e-6 -4.54e-5 -1.25063e-5 6.91358e-6 -4.54e-5 -1.21841e-5 7.46676e-6 -4.54e-5 -1.03183e-5 5.70407e-6 -4.545e-5 -9.99347e-6 6.25577e-6 -4.54e-5 -1.03183e-5 5.70407e-6 -4.54e-5 -1.07668e-5 4.80407e-6 -4.545e-5 -1.3562e-5 4.50289e-6 -4.54e-5 -1.12242e-5 3.60856e-6 -4.545e-5 -1.12242e-5 3.60856e-6 -4.54e-5 -1.33467e-5 5.10577e-6 -4.54e-5 -1.31047e-5 5.6984e-6 -4.54e-5 -1.10118e-5 4.21253e-6 -4.545e-5 -1.07668e-5 4.80407e-6 -4.54e-5 -1.10118e-5 4.21253e-6 -4.54e-5 -1.13307e-5 3.25886e-6 -4.545e-5 -1.40567e-5 2.5716e-6 -4.54e-5 -1.16172e-5 2.01134e-6 -4.54e-5 -1.39274e-5 3.19857e-6 -4.54e-5 -1.37702e-5 3.81912e-6 -4.54e-5 -1.14909e-5 2.63899e-6 -4.545e-5 -1.13307e-5 3.25886e-6 -4.54e-5 -1.14909e-5 2.63899e-6 -4.54e-5 -1.42778e-5 5.9026e-7 -4.54e-5 -1.1784e-5 3.74966e-7 -4.545e-5 -1.1784e-5 3.74966e-7 -4.54e-5 -1.4237e-5 1.22912e-6 -4.54e-5 -1.16739e-5 1.65022e-6 -4.545e-5 -1.41677e-5 1.86552e-6 -4.54e-5 -1.01295e-5 -5.17527e-6 -4.545e-5 -1.17463e-5 1.01409e-6 -4.545e-5 -1.16739e-5 1.65022e-6 -4.54e-5 -1.17463e-5 1.01409e-6 -4.54e-5 -1.179e-5 0 -4.545e-5 -1.4221e-5 -1.40257e-6 -4.54e-5 -1.16766e-5 -1.63148e-6 -4.545e-5 -1.17215e-5 -1.2687e-6 -4.545e-5 -1.17215e-5 -1.2687e-6 -4.54e-5 -1.42695e-5 -7.64254e-7 -4.54e-5 -1.42895e-5 -1.24403e-7 -4.54e-5 -1.17731e-5 -6.30549e-7 -4.545e-5 -1.179e-5 0 -4.54e-5 -1.17731e-5 -6.30549e-7 -4.54e-5 -1.38874e-5 -3.3681e-6 -4.54e-5 -1.13359e-5 -3.24067e-6 -4.545e-5 -1.14309e-5 -2.88768e-6 -4.545e-5 -1.14309e-5 -2.88768e-6 -4.54e-5 -1.40243e-5 -2.74275e-6 -4.54e-5 -1.41331e-5 -2.1119e-6 -4.54e-5 -1.15708e-5 -2.26292e-6 -4.545e-5 -1.16766e-5 -1.63148e-6 -4.54e-5 -1.15708e-5 -2.26292e-6 -4.54e-5 -1.32835e-5 -5.26808e-6 -4.54e-5 -1.07745e-5 -4.78678e-6 -4.545e-5 -1.09178e-5 -4.45045e-6 -4.545e-5 -1.09178e-5 -4.45045e-6 -4.54e-5 -1.35061e-5 -4.66787e-6 -4.54e-5 -1.37016e-5 -4.05829e-6 -4.54e-5 -1.11433e-5 -3.85124e-6 -4.545e-5 -1.13359e-5 -3.24067e-6 -4.54e-5 -1.11433e-5 -3.85124e-6 -4.54e-5 -1.24211e-5 -7.06551e-6 -4.54e-5 -1.00035e-5 -6.23972e-6 -4.545e-5 -1.01921e-5 -5.9266e-6 -4.545e-5 -1.01921e-5 -5.9266e-6 -4.54e-5 -1.2725e-5 -6.50213e-6 -4.54e-5 -1.30035e-5 -5.92569e-6 -4.54e-5 -1.04988e-5 -5.3646e-6 -4.545e-5 -1.07745e-5 -4.78678e-6 -4.54e-5 -5.15223e-6 -1.01411e-5 -4.545e-5 -1.04988e-5 -5.3646e-6 -4.54e-5 -1.13168e-5 -8.72543e-6 -4.54e-5 -9.03774e-6 -7.57121e-6 -4.545e-5 -9.26812e-6 -7.28739e-6 -4.545e-5 -9.26812e-6 -7.28739e-6 -4.54e-5 -1.16963e-5 -8.20983e-6 -4.54e-5 -1.20522e-5 -7.67776e-6 -4.54e-5 -9.65004e-6 -6.77354e-6 -4.545e-5 -1.00035e-5 -6.23972e-6 -4.54e-5 -9.65004e-6 -6.77354e-6 -4.54e-5 -9.99236e-6 -1.02155e-5 -4.54e-5 -7.89608e-6 -8.75534e-6 -4.545e-5 -8.16371e-6 -8.50634e-6 -4.545e-5 -8.16371e-6 -8.50634e-6 -4.54e-5 -1.04399e-5 -9.75774e-6 -4.54e-5 -1.08664e-5 -9.28038e-6 -4.54e-5 -8.61343e-6 -8.05065e-6 -4.545e-5 -9.03774e-6 -7.57121e-6 -4.54e-5 -8.61343e-6 -8.05065e-6 -4.54e-5 -8.47339e-6 -1.15068e-5 -4.54e-5 -6.60073e-6 -9.76906e-6 -4.545e-5 -6.90041e-6 -9.55973e-6 -4.545e-5 -6.90041e-6 -9.55973e-6 -4.54e-5 -8.98024e-6 -1.11157e-5 -4.54e-5 -9.46906e-6 -1.07024e-5 -4.54e-5 -7.40917e-6 -9.17106e-6 -4.545e-5 -7.89608e-6 -8.75534e-6 -4.54e-5 -7.40917e-6 -9.17106e-6 -4.54e-5 -6.7895e-6 -1.25741e-5 -4.54e-5 -5.1769e-6 -1.05926e-5 -4.545e-5 -5.5028e-6 -1.0427e-5 -4.545e-5 -5.5028e-6 -1.0427e-5 -4.54e-5 -7.34583e-6 -1.22574e-5 -4.54e-5 -7.88743e-6 -1.19161e-5 -4.54e-5 -6.0607e-6 -1.0113e-5 -4.545e-5 -6.60073e-6 -9.76906e-6 -4.54e-5 -6.0607e-6 -1.0113e-5 -4.54e-5 -4.97345e-6 -1.33966e-5 -4.54e-5 -3.65231e-6 -1.121e-5 -4.545e-5 -3.99808e-6 -1.10914e-5 -4.545e-5 -3.99808e-6 -1.10914e-5 -4.54e-5 -5.56845e-6 -1.31604e-5 -4.54e-5 -6.15227e-6 -1.28978e-5 -4.54e-5 -4.59426e-6 -1.0858e-5 -4.545e-5 -5.1769e-6 -1.05926e-5 -4.54e-5 -4.59426e-6 -1.0858e-5 -4.54e-5 -3.06061e-6 -1.39584e-5 -4.54e-5 -2.05663e-6 -1.16092e-5 -4.545e-5 -2.41555e-6 -1.15399e-5 -4.545e-5 -2.41555e-6 -1.15399e-5 -4.54e-5 -3.68268e-6 -1.38073e-5 -4.54e-5 -4.29737e-6 -1.36285e-5 -4.54e-5 -3.03841e-6 -1.13918e-5 -4.545e-5 -3.65231e-6 -1.121e-5 -4.54e-5 -3.03841e-6 -1.13918e-5 -4.54e-5 -1.08819e-6 -1.42485e-5 -4.54e-5 -7.85995e-7 -1.17638e-5 -4.54e-5 -1.72524e-6 -1.41855e-5 -4.54e-5 -2.35883e-6 -1.4094e-5 -4.54e-5 -2.05663e-6 -1.16092e-5 -4.54e-5 -1.42341e-6 -1.17038e-5 -4.54e-5 9.05411e-7 -1.42613e-5 -4.54e-5 8.58855e-7 -1.17587e-5 -4.54e-5 2.65788e-7 -1.42875e-5 -4.54e-5 -3.74368e-7 -1.42851e-5 -4.54e-5 -4.20923e-7 -1.17825e-5 -4.54e-5 2.19289e-7 -1.1788e-5 -4.54e-5 -1.75294e-6 1.0986e-5 -4.545e-5 -1.58592e-6 9.93927e-6 -4.545e-5 -2.05812e-6 9.85233e-6 -4.545e-5 -2.05812e-6 9.85233e-6 -4.535e-5 -2.49154e-6 9.75174e-6 -4.545e-5 -1.8609e-6 8.61634e-6 -4.545e-5 -1.8609e-6 8.61634e-6 -4.535e-5 -1.11011e-6 1.00036e-5 -4.545e-5 -1.58592e-6 9.93927e-6 -4.535e-5 -6.66909e-7 1.00429e-5 -4.545e-5 -9.12894e-7 8.7676e-6 -4.545e-5 -1.11011e-6 1.00036e-5 -4.535e-5 -1.38896e-6 8.70488e-6 -4.545e-5 -9.12894e-7 8.7676e-6 -4.535e-5 -6.43629e-7 8.79147e-6 -4.545e-5 -1.38896e-6 8.70488e-6 -4.535e-5 -2.12422e-6 8.55523e-6 -4.545e-5 -2.95376e-6 9.62182e-6 -4.545e-5 -3.40927e-6 9.47001e-6 -4.545e-5 -3.40927e-6 9.47001e-6 -4.535e-5 -3.82447e-6 9.31008e-6 -4.545e-5 -3.04195e-6 8.2735e-6 -4.545e-5 -3.04195e-6 8.2735e-6 -4.535e-5 -2.95376e-6 9.62182e-6 -4.535e-5 -2.49154e-6 9.75174e-6 -4.535e-5 -1.63955e-7 8.81347e-6 -4.545e-5 -2.58693e-6 8.42686e-6 -4.545e-5 -2.12422e-6 8.55523e-6 -4.535e-5 3.16205e-7 8.80933e-6 -4.545e-5 -2.58693e-6 8.42686e-6 -4.535e-5 -3.29421e-6 8.17633e-6 -4.545e-5 5.86171e-7 8.79549e-6 -4.545e-5 -4.26412e-6 9.1171e-6 -4.545e-5 -4.69406e-6 8.90337e-6 -4.545e-5 -4.69406e-6 8.90337e-6 -4.535e-5 -5.08296e-6 8.68721e-6 -4.545e-5 -4.1638e-6 7.76962e-6 -4.545e-5 -4.1638e-6 7.76962e-6 -4.535e-5 -4.26412e-6 9.1171e-6 -4.535e-5 -3.82447e-6 9.31008e-6 -4.535e-5 1.06424e-6 8.75052e-6 -4.545e-5 -3.73454e-6 7.98482e-6 -4.545e-5 -3.29421e-6 8.17633e-6 -4.535e-5 1.53915e-6 8.67959e-6 -4.545e-5 -3.73454e-6 7.98482e-6 -4.535e-5 -4.40007e-6 7.6383e-6 -4.545e-5 1.80456e-6 8.62831e-6 -4.545e-5 -7.87533e-6 7.85764e-6 -4.545e-5 -5.49147e-6 8.43492e-6 -4.545e-5 -5.88749e-6 8.16344e-6 -4.545e-5 -5.88749e-6 8.16344e-6 -4.535e-5 -6.24252e-6 7.89526e-6 -4.545e-5 -5.2046e-6 7.11452e-6 -4.545e-5 -5.2046e-6 7.11452e-6 -4.535e-5 -5.49147e-6 8.43492e-6 -4.535e-5 -5.08296e-6 8.68721e-6 -4.535e-5 2.27172e-6 8.51725e-6 -4.545e-5 -4.80947e-6 7.38737e-6 -4.545e-5 -4.40007e-6 7.6383e-6 -4.535e-5 2.73214e-6 8.38091e-6 -4.545e-5 -4.80947e-6 7.38737e-6 -4.535e-5 -5.4203e-6 6.95159e-6 -4.545e-5 2.98783e-6 8.2932e-6 -4.545e-5 -6.61194e-6 7.58857e-6 -4.545e-5 -6.96632e-6 7.26461e-6 -4.545e-5 -6.96632e-6 7.26461e-6 -4.535e-5 -7.28058e-6 6.94963e-6 -4.545e-5 -6.1441e-6 6.32094e-6 -4.545e-5 -6.1441e-6 6.32094e-6 -4.535e-5 -6.61194e-6 7.58857e-6 -4.535e-5 -6.24252e-6 7.89526e-6 -4.535e-5 3.43498e-6 8.1182e-6 -4.545e-5 -5.79079e-6 6.64613e-6 -4.545e-5 -5.4203e-6 6.95159e-6 -4.535e-5 3.87194e-6 7.91911e-6 -4.545e-5 -5.79079e-6 6.64613e-6 -4.535e-5 -6.33502e-6 6.12958e-6 -4.545e-5 4.11294e-6 7.79666e-6 -4.545e-5 -7.60372e-6 6.59451e-6 -4.545e-5 -7.90956e-6 6.22439e-6 -4.545e-5 -7.90956e-6 6.22439e-6 -4.535e-5 -8.17693e-6 5.86874e-6 -4.545e-5 -6.96401e-6 5.40433e-6 -4.545e-5 -6.96401e-6 5.40433e-6 -4.535e-5 -7.60372e-6 6.59451e-6 -4.535e-5 -7.28058e-6 6.94963e-6 -4.535e-5 4.53139e-6 7.56113e-6 -4.545e-5 -6.6594e-6 5.77552e-6 -4.545e-5 -6.33502e-6 6.12958e-6 -4.535e-5 4.93639e-6 7.30317e-6 -4.545e-5 -6.6594e-6 5.77552e-6 -4.535e-5 5.158e-6 7.14837e-6 -4.545e-5 -8.4475e-6 5.4721e-6 -4.545e-5 -8.69886e-6 5.06302e-6 -4.545e-5 -8.69886e-6 5.06302e-6 -4.535e-5 -8.91412e-6 4.67362e-6 -4.545e-5 -7.64837e-6 4.38254e-6 -4.535e-5 -8.4475e-6 5.4721e-6 -4.535e-5 -8.17693e-6 5.86874e-6 -4.535e-5 -7.12644e-6 5.18826e-6 -4.535e-5 -7.39838e-6 4.79251e-6 -4.535e-5 -9.12686e-6 4.24318e-6 -4.545e-5 -9.31884e-6 3.8031e-6 -4.545e-5 -9.31884e-6 3.8031e-6 -4.535e-5 -9.47781e-6 3.38753e-6 -4.545e-5 -8.18387e-6 3.27544e-6 -4.535e-5 -9.12686e-6 4.24318e-6 -4.535e-5 -8.91412e-6 4.67362e-6 -4.535e-5 -7.77916e-6 4.14596e-6 -4.535e-5 -7.99337e-6 3.71621e-6 -4.535e-5 -1.09901e-5 1.72721e-6 -4.545e-5 -9.62858e-6 2.93168e-6 -4.545e-5 -9.75743e-6 2.46915e-6 -4.545e-5 -9.75743e-6 2.46915e-6 -4.535e-5 -9.85702e-6 2.0355e-6 -4.545e-5 -8.56008e-6 2.10459e-6 -4.535e-5 -9.62858e-6 2.93168e-6 -4.535e-5 -9.47781e-6 3.38753e-6 -4.535e-5 -8.28046e-6 3.02296e-6 -4.535e-5 -8.43278e-6 2.56758e-6 -4.535e-5 -9.94288e-6 1.56311e-6 -4.545e-5 -1.00061e-5 1.08715e-6 -4.545e-5 -1.00061e-5 1.08715e-6 -4.535e-5 -1.00444e-5 6.43861e-7 -4.545e-5 -8.76967e-6 8.92772e-7 -4.535e-5 -9.94288e-6 1.56311e-6 -4.535e-5 -9.85702e-6 2.0355e-6 -4.535e-5 -8.62059e-6 1.84112e-6 -4.535e-5 -8.70805e-6 1.36898e-6 -4.535e-5 -1.00637e-5 1.64112e-7 -4.545e-5 -1.006e-5 -3.16011e-7 -4.545e-5 -1.006e-5 -3.16011e-7 -4.535e-5 -1.00362e-5 -7.60313e-7 -4.545e-5 -8.80858e-6 -3.36419e-7 -4.535e-5 -1.00637e-5 1.64112e-7 -4.535e-5 -1.00444e-5 6.43861e-7 -4.535e-5 -8.79292e-6 6.23453e-7 -4.535e-5 -8.81383e-6 1.4373e-7 -4.535e-5 -9.98856e-6 -1.23808e-6 -4.545e-5 -9.91815e-6 -1.71302e-6 -4.545e-5 -9.91815e-6 -1.71302e-6 -4.535e-5 -8.67603e-6 -1.55906e-6 -4.535e-5 -9.83275e-6 -2.14969e-6 -4.545e-5 -9.98856e-6 -1.23808e-6 -4.535e-5 -1.00362e-5 -7.60313e-7 -4.535e-5 -8.79412e-6 -6.06353e-7 -4.535e-5 -8.74806e-6 -1.08432e-6 -4.535e-5 -9.90684e-6 -5.06153e-6 -4.545e-5 -9.71905e-6 -2.61617e-6 -4.545e-5 -9.58322e-6 -3.07669e-6 -4.545e-5 -9.58322e-6 -3.07669e-6 -4.535e-5 -8.37462e-6 -2.75136e-6 -4.535e-5 -9.43788e-6 -3.49722e-6 -4.545e-5 -9.71905e-6 -2.61617e-6 -4.535e-5 -9.83275e-6 -2.14969e-6 -4.535e-5 -8.62415e-6 -1.82436e-6 -4.535e-5 -8.51201e-6 -2.29126e-6 -4.535e-5 -9.26036e-6 -3.94334e-6 -4.545e-5 -9.06177e-6 -4.38048e-6 -4.545e-5 -9.06177e-6 -4.38048e-6 -4.535e-5 -7.9102e-6 -3.89011e-6 -4.535e-5 -8.85932e-6 -4.77669e-6 -4.545e-5 -9.26036e-6 -3.94334e-6 -4.535e-5 -9.43788e-6 -3.49722e-6 -4.535e-5 -8.28632e-6 -3.00685e-6 -4.535e-5 -8.11029e-6 -3.4536e-6 -4.535e-5 -8.62144e-6 -5.19375e-6 -4.545e-5 -8.36394e-6 -5.599e-6 -4.545e-5 -8.36394e-6 -5.599e-6 -4.535e-5 -7.29182e-6 -4.95313e-6 -4.535e-5 -8.10831e-6 -5.96318e-6 -4.545e-5 -8.62144e-6 -5.19375e-6 -4.535e-5 -8.85932e-6 -4.77669e-6 -4.535e-5 -7.7872e-6 -4.13082e-6 -4.535e-5 -7.55072e-6 -4.54873e-6 -4.535e-5 -7.8147e-6 -6.34308e-6 -4.545e-5 -7.50331e-6 -6.70855e-6 -4.545e-5 -7.50331e-6 -6.70855e-6 -4.535e-5 -6.53152e-6 -5.91976e-6 -4.535e-5 -7.19949e-6 -7.0336e-6 -4.545e-5 -7.8147e-6 -6.34308e-6 -4.535e-5 -8.10831e-6 -5.96318e-6 -4.535e-5 -7.13652e-6 -5.17439e-6 -4.535e-5 -6.84417e-6 -5.55532e-6 -4.535e-5 -6.85586e-6 -7.36895e-6 -4.545e-5 -6.49664e-6 -7.68752e-6 -4.545e-5 -6.49664e-6 -7.68752e-6 -4.535e-5 -5.64408e-6 -6.77116e-6 -4.535e-5 -6.15053e-6 -7.96713e-6 -4.545e-5 -6.85586e-6 -7.36895e-6 -4.535e-5 -7.19949e-6 -7.0336e-6 -4.535e-5 -6.34693e-6 -6.11724e-6 -4.535e-5 -6.00441e-6 -6.45378e-6 -4.535e-5 -5.03899e-6 -9.91827e-6 -4.545e-5 -5.76358e-6 -8.25138e-6 -4.545e-5 -5.36352e-6 -8.51686e-6 -4.545e-5 -5.36352e-6 -8.51686e-6 -4.535e-5 -4.41492e-6 -7.62972e-6 -4.545e-5 -4.64679e-6 -7.49076e-6 -4.545e-5 -4.64679e-6 -7.49076e-6 -4.535e-5 -4.98187e-6 -8.74558e-6 -4.545e-5 -5.76358e-6 -8.25138e-6 -4.535e-5 -6.15053e-6 -7.96713e-6 -4.535e-5 -5.04779e-6 -7.22662e-6 -4.545e-5 -5.43381e-6 -6.94103e-6 -4.535e-5 6.74717e-6 -5.67274e-6 -4.545e-5 -5.04779e-6 -7.22662e-6 -4.535e-5 6.57006e-6 -5.87695e-6 -4.545e-5 -4.55912e-6 -8.97322e-6 -4.545e-5 -4.126e-6 -9.18043e-6 -4.545e-5 -4.126e-6 -9.18043e-6 -4.535e-5 -3.3101e-6 -8.16991e-6 -4.545e-5 -3.55906e-6 -8.06457e-6 -4.545e-5 -3.55906e-6 -8.06457e-6 -4.535e-5 -3.71623e-6 -9.35381e-6 -4.545e-5 -4.55912e-6 -8.97322e-6 -4.535e-5 -4.98187e-6 -8.74558e-6 -4.535e-5 6.24029e-6 -6.22599e-6 -4.545e-5 -3.99291e-6 -7.85881e-6 -4.545e-5 -4.41492e-6 -7.62972e-6 -4.535e-5 5.89201e-6 -6.55655e-6 -4.545e-5 -3.99291e-6 -7.85881e-6 -4.535e-5 5.6882e-6 -6.73413e-6 -4.545e-5 -3.26592e-6 -9.5204e-6 -4.545e-5 -2.80818e-6 -9.66532e-6 -4.545e-5 -2.80818e-6 -9.66532e-6 -4.535e-5 -2.14086e-6 -8.55108e-6 -4.545e-5 -2.40205e-6 -8.48141e-6 -4.545e-5 -2.40205e-6 -8.48141e-6 -4.535e-5 -2.37827e-6 -9.77998e-6 -4.545e-5 -3.26592e-6 -9.5204e-6 -4.535e-5 -3.71623e-6 -9.35381e-6 -4.535e-5 5.31307e-6 -7.03388e-6 -4.545e-5 -2.86032e-6 -8.33803e-6 -4.545e-5 -3.3101e-6 -8.16991e-6 -4.535e-5 4.92218e-6 -7.31276e-6 -4.545e-5 -2.86032e-6 -8.33803e-6 -4.535e-5 4.69564e-6 -7.46024e-6 -4.545e-5 -1.90916e-6 -9.88227e-6 -4.545e-5 -1.4357e-6 -9.96208e-6 -4.545e-5 -1.4357e-6 -9.96208e-6 -4.535e-5 -9.29942e-7 -8.76581e-6 -4.545e-5 -1.19829e-6 -8.73317e-6 -4.545e-5 -1.19829e-6 -8.73317e-6 -4.535e-5 -9.94013e-7 -1.00158e-5 -4.545e-5 -1.90916e-6 -9.88227e-6 -4.535e-5 -2.37827e-6 -9.77998e-6 -4.535e-5 4.28244e-6 -7.70486e-6 -4.545e-5 -1.67205e-6 -8.65497e-6 -4.545e-5 -2.14086e-6 -8.55108e-6 -4.535e-5 3.85654e-6 -7.92662e-6 -4.545e-5 -1.67205e-6 -8.65497e-6 -4.535e-5 3.61167e-6 -8.04115e-6 -4.545e-5 1.75294e-6 -1.0986e-5 -4.545e-5 -5.15229e-7 -1.00518e-5 -4.545e-5 0 -1.00649e-5 -4.545e-5 0 -1.00649e-5 -4.535e-5 2.99073e-7 -8.80992e-6 -4.545e-5 0 -8.81495e-6 -4.545e-5 0 -8.81495e-6 -4.535e-5 4.0959e-7 -1.00567e-5 -4.545e-5 -5.15229e-7 -1.00518e-5 -4.535e-5 -9.94013e-7 -1.00158e-5 -4.535e-5 3.16845e-6 -8.22588e-6 -4.545e-5 -4.51241e-7 -8.80344e-6 -4.545e-5 -9.29942e-7 -8.76581e-6 -4.535e-5 2.71583e-6 -8.38621e-6 -4.545e-5 -4.51241e-7 -8.80344e-6 -4.535e-5 2.45741e-6 -8.46554e-6 -4.545e-5 8.88726e-7 -1.00257e-5 -4.545e-5 1.36584e-6 -9.9719e-6 -4.545e-5 1.36584e-6 -9.9719e-6 -4.535e-5 1.80522e-6 -9.90179e-6 -4.545e-5 1.25532e-6 -8.72516e-6 -4.545e-5 1.25532e-6 -8.72516e-6 -4.535e-5 8.88726e-7 -1.00257e-5 -4.535e-5 4.0959e-7 -1.00567e-5 -4.535e-5 1.9928e-6 -8.58679e-6 -4.545e-5 7.78353e-7 -8.78057e-6 -4.545e-5 2.99073e-7 -8.80992e-6 -4.535e-5 1.52227e-6 -8.68256e-6 -4.545e-5 7.78353e-7 -8.78057e-6 -4.535e-5 2.27538e-6 -9.80443e-6 -4.545e-5 2.74037e-6 -9.68476e-6 -4.545e-5 2.74037e-6 -9.68476e-6 -4.535e-5 3.16571e-6 -9.55419e-6 -4.545e-5 2.45741e-6 -8.46554e-6 -4.535e-5 2.27538e-6 -9.80443e-6 -4.535e-5 1.80522e-6 -9.90179e-6 -4.535e-5 1.52227e-6 -8.68256e-6 -4.535e-5 1.9928e-6 -8.58679e-6 -4.535e-5 3.61775e-6 -9.39234e-6 -4.545e-5 4.06156e-6 -9.20912e-6 -4.545e-5 4.06156e-6 -9.20912e-6 -4.535e-5 4.46459e-6 -9.02062e-6 -4.545e-5 3.61167e-6 -8.04115e-6 -4.535e-5 3.61775e-6 -9.39234e-6 -4.535e-5 3.16571e-6 -9.55419e-6 -4.535e-5 2.71583e-6 -8.38621e-6 -4.535e-5 3.16845e-6 -8.22588e-6 -4.535e-5 4.88971e-6 -8.79744e-6 -4.545e-5 5.30369e-6 -8.55424e-6 -4.545e-5 5.30369e-6 -8.55424e-6 -4.535e-5 5.67657e-6 -8.31148e-6 -4.545e-5 4.69564e-6 -7.46024e-6 -4.535e-5 4.88971e-6 -8.79744e-6 -4.535e-5 4.46459e-6 -9.02062e-6 -4.535e-5 3.85654e-6 -7.92662e-6 -4.535e-5 4.28244e-6 -7.70486e-6 -4.535e-5 7.87533e-6 -7.85764e-6 -4.545e-5 6.06649e-6 -8.03131e-6 -4.545e-5 6.4426e-6 -7.73286e-6 -4.545e-5 6.4426e-6 -7.73286e-6 -4.535e-5 6.77806e-6 -7.44057e-6 -4.545e-5 5.6882e-6 -6.73413e-6 -4.535e-5 6.06649e-6 -8.03131e-6 -4.535e-5 5.67657e-6 -8.31148e-6 -4.535e-5 4.92218e-6 -7.31276e-6 -4.535e-5 5.31307e-6 -7.03388e-6 -4.535e-5 7.12519e-6 -7.10886e-6 -4.545e-5 7.45611e-6 -6.76097e-6 -4.545e-5 7.45611e-6 -6.76097e-6 -4.535e-5 7.74763e-6 -6.42484e-6 -4.545e-5 6.57006e-6 -5.87695e-6 -4.535e-5 7.12519e-6 -7.10886e-6 -4.535e-5 6.77806e-6 -7.44057e-6 -4.535e-5 5.89201e-6 -6.55655e-6 -4.535e-5 6.24029e-6 -6.22599e-6 -4.535e-5 8.04521e-6 -6.04804e-6 -4.545e-5 8.32449e-6 -5.65748e-6 -4.545e-5 8.32449e-6 -5.65748e-6 -4.535e-5 8.56639e-6 -5.28405e-6 -4.545e-5 7.32403e-6 -4.90538e-6 -4.535e-5 8.04521e-6 -6.04804e-6 -4.535e-5 7.74763e-6 -6.42484e-6 -4.535e-5 6.74717e-6 -5.67274e-6 -4.535e-5 7.04605e-6 -5.29692e-6 -4.535e-5 8.80864e-6 -4.8695e-6 -4.545e-5 9.03084e-6 -4.44388e-6 -4.545e-5 9.03084e-6 -4.44388e-6 -4.535e-5 9.21842e-6 -4.04041e-6 -4.545e-5 7.93545e-6 -3.83834e-6 -4.535e-5 8.80864e-6 -4.8695e-6 -4.535e-5 8.56639e-6 -5.28405e-6 -4.535e-5 7.471e-6 -4.6785e-6 -4.535e-5 7.71467e-6 -4.26475e-6 -4.535e-5 1.09901e-5 -1.72721e-6 -4.545e-5 9.40062e-6 -3.59619e-6 -4.545e-5 9.56142e-6 -3.14378e-6 -4.545e-5 9.56142e-6 -3.14378e-6 -4.535e-5 9.69103e-6 -2.71814e-6 -4.545e-5 8.39242e-6 -2.69658e-6 -4.535e-5 9.40062e-6 -3.59619e-6 -4.535e-5 9.21842e-6 -4.04041e-6 -4.535e-5 8.04941e-6 -3.59321e-6 -4.535e-5 8.23313e-6 -3.14957e-6 -4.535e-5 9.80963e-6 -2.25288e-6 -4.545e-5 9.9059e-6 -1.78249e-6 -4.545e-5 9.9059e-6 -1.78249e-6 -4.535e-5 9.975e-6 -1.34295e-6 -4.545e-5 8.68603e-6 -1.50234e-6 -4.535e-5 9.80963e-6 -2.25288e-6 -4.535e-5 9.69103e-6 -2.71814e-6 -4.535e-5 8.47115e-6 -2.43798e-6 -4.535e-5 8.59134e-6 -1.97309e-6 -4.535e-5 1.00277e-5 -8.65718e-7 -4.545e-5 1.00576e-5 -3.86511e-7 -4.545e-5 1.00576e-5 -3.86511e-7 -4.535e-5 1.00648e-5 0 -4.545e-5 8.81059e-6 -2.78856e-7 -4.535e-5 1.00277e-5 -8.65718e-7 -4.535e-5 9.975e-6 -1.34295e-6 -4.535e-5 8.72802e-6 -1.2353e-6 -4.535e-5 8.78233e-6 -7.58202e-7 -4.535e-5 1.00506e-5 5.38293e-7 -4.545e-5 1.00135e-5 1.01699e-6 -4.545e-5 1.00135e-5 1.01699e-6 -4.535e-5 8.76365e-6 9.50055e-7 -4.535e-5 9.95876e-6 1.45855e-6 -4.545e-5 1.00506e-5 5.38293e-7 -4.535e-5 1.00648e-5 0 -4.535e-5 8.815e-6 0 -4.535e-5 8.80238e-6 4.71441e-7 -4.535e-5 9.87787e-6 1.93183e-6 -4.545e-5 9.7745e-6 2.4007e-6 -4.545e-5 9.7745e-6 2.4007e-6 -4.535e-5 8.54614e-6 2.16047e-6 -4.535e-5 9.65885e-6 2.83035e-6 -4.545e-5 9.87787e-6 1.93183e-6 -4.535e-5 9.95876e-6 1.45855e-6 -4.535e-5 8.7304e-6 1.21832e-6 -4.535e-5 8.65111e-6 1.69191e-6 -4.535e-5 9.90684e-6 5.06153e-6 -4.545e-5 9.51288e-6 3.28776e-6 -4.545e-5 9.34526e-6 3.73769e-6 -4.545e-5 9.34526e-6 3.73769e-6 -4.535e-5 8.16229e-6 3.32884e-6 -4.535e-5 9.17094e-6 4.14706e-6 -4.545e-5 9.51288e-6 3.28776e-6 -4.535e-5 9.65885e-6 2.83035e-6 -4.535e-5 8.47588e-6 2.4215e-6 -4.535e-5 8.33145e-6 2.87944e-6 -4.535e-5 8.96273e-6 4.5797e-6 -4.545e-5 8.73413e-6 5.00192e-6 -4.545e-5 8.73413e-6 5.00192e-6 -4.535e-5 7.61957e-6 4.43242e-6 -4.535e-5 8.50453e-6 5.38305e-6 -4.545e-5 8.96273e-6 4.5797e-6 -4.535e-5 9.17094e-6 4.14706e-6 -4.535e-5 8.05638e-6 3.57755e-6 -4.535e-5 7.84962e-6 4.01094e-6 -4.535e-5 8.23814e-6 5.7825e-6 -4.545e-5 7.95299e-6 6.1688e-6 -4.545e-5 7.95299e-6 6.1688e-6 -4.535e-5 6.92855e-6 5.44972e-6 -4.535e-5 7.67259e-6 6.51426e-6 -4.545e-5 8.23814e-6 5.7825e-6 -4.535e-5 8.50453e-6 5.38305e-6 -4.535e-5 7.48008e-6 4.66397e-6 -4.535e-5 7.21502e-6 5.06436e-6 -4.535e-5 7.35319e-6 6.87275e-6 -4.545e-5 7.01707e-6 7.21561e-6 -4.545e-5 7.01707e-6 7.21561e-6 -4.535e-5 6.10266e-6 6.36095e-6 -4.535e-5 6.69131e-6 7.51868e-6 -4.545e-5 7.35319e-6 6.87275e-6 -4.535e-5 7.67259e-6 6.51426e-6 -4.535e-5 6.75819e-6 5.6596e-6 -4.535e-5 6.43998e-6 6.01921e-6 -4.535e-5 5.03899e-6 9.91827e-6 -4.545e-5 6.32513e-6 7.82924e-6 -4.545e-5 5.94456e-6 8.12197e-6 -4.545e-5 5.94456e-6 8.12197e-6 -4.535e-5 5.158e-6 7.14837e-6 -4.535e-5 5.57979e-6 8.37676e-6 -4.545e-5 6.32513e-6 7.82924e-6 -4.535e-5 6.69131e-6 7.51868e-6 -4.535e-5 5.90475e-6 6.54508e-6 -4.535e-5 5.53959e-6 6.8569e-6 -4.535e-5 5.17396e-6 8.63333e-6 -4.545e-5 4.75635e-6 8.87025e-6 -4.545e-5 4.75635e-6 8.87025e-6 -4.535e-5 4.11294e-6 7.79666e-6 -4.535e-5 4.35967e-6 9.0718e-6 -4.545e-5 5.17396e-6 8.63333e-6 -4.535e-5 5.57979e-6 8.37676e-6 -4.535e-5 4.93639e-6 7.30317e-6 -4.535e-5 4.53139e-6 7.56113e-6 -4.535e-5 3.92208e-6 9.26939e-6 -4.545e-5 3.47556e-6 9.44588e-6 -4.545e-5 3.47556e-6 9.44588e-6 -4.535e-5 2.98783e-6 8.2932e-6 -4.535e-5 3.05469e-6 9.59026e-6 -4.545e-5 3.92208e-6 9.26939e-6 -4.535e-5 4.35967e-6 9.0718e-6 -4.535e-5 3.87194e-6 7.91911e-6 -4.535e-5 3.43498e-6 8.1182e-6 -4.535e-5 2.59386e-6 9.72503e-6 -4.545e-5 2.12712e-6 9.83766e-6 -4.545e-5 2.12712e-6 9.83766e-6 -4.535e-5 1.80456e-6 8.62831e-6 -4.535e-5 1.69026e-6 9.92206e-6 -4.545e-5 2.59386e-6 9.72503e-6 -4.535e-5 3.05469e-6 9.59026e-6 -4.535e-5 2.73214e-6 8.38091e-6 -4.535e-5 2.27172e-6 8.51725e-6 -4.535e-5 1.21515e-6 9.99138e-6 -4.545e-5 7.3728e-7 1.0038e-5 -4.545e-5 7.3728e-7 1.0038e-5 -4.535e-5 5.86171e-7 8.79549e-6 -4.535e-5 2.92925e-7 1.00607e-5 -4.545e-5 1.21515e-6 9.99138e-6 -4.535e-5 1.69026e-6 9.92206e-6 -4.535e-5 1.53915e-6 8.67959e-6 -4.535e-5 1.06424e-6 8.75052e-6 -4.535e-5 -1.87205e-7 1.00633e-5 -4.545e-5 -6.66909e-7 1.00429e-5 -4.535e-5 -6.43629e-7 8.79147e-6 -4.535e-5 -1.87205e-7 1.00633e-5 -4.535e-5 2.92925e-7 1.00607e-5 -4.535e-5 3.16205e-7 8.80933e-6 -4.535e-5 -1.63955e-7 8.81347e-6 -4.535e-5 1.75294e-6 -1.0986e-5 -4.52e-5 -5.03871e-6 -9.91846e-6 -4.52e-5 7.87512e-6 -7.85792e-6 -4.52e-5 1.09899e-5 -1.728e-6 -4.52e-5 9.9064e-6 5.06223e-6 -4.52e-5 5.03871e-6 9.91846e-6 -4.52e-5 -1.75294e-6 1.0986e-5 -4.52e-5 -7.87512e-6 7.85792e-6 -4.52e-5 -1.09899e-5 1.728e-6 -4.52e-5 -9.9064e-6 -5.06223e-6 -4.52e-5 -1.79233e-6 1.12329e-5 -4.52e-5 -8.05209e-6 8.0345e-6 -4.52e-5 5.15194e-6 1.01413e-5 -4.52e-5 1.0129e-5 5.17598e-6 -4.52e-5 1.12368e-5 -1.76683e-6 -4.52e-5 8.05209e-6 -8.0345e-6 -4.52e-5 1.79233e-6 -1.12329e-5 -4.52e-5 -5.15194e-6 -1.01413e-5 -4.52e-5 -1.0129e-5 -5.17598e-6 -4.52e-5 -1.12368e-5 1.76683e-6 -4.52e-5 1.48126e-5 2.36351e-6 -4.445e-5 1.16464e-5 9.45317e-6 -4.445e-5 5.35945e-6 1.40099e-5 -4.445e-5 -2.36351e-6 1.48126e-5 -4.445e-5 -9.45317e-6 1.16464e-5 -4.445e-5 -1.40099e-5 5.35945e-6 -4.445e-5 -1.48126e-5 -2.36351e-6 -4.445e-5 1.48126e-5 2.36351e-6 -4.245e-5 1.40099e-5 -5.35945e-6 -4.445e-5 1.40099e-5 -5.35945e-6 -4.245e-5 1.16464e-5 9.45317e-6 -4.245e-5 5.35945e-6 1.40099e-5 -4.245e-5 -2.36351e-6 1.48126e-5 -4.245e-5 -9.45317e-6 1.16464e-5 -4.245e-5 -1.40099e-5 5.35945e-6 -4.245e-5 -1.16464e-5 -9.45317e-6 -4.445e-5 -1.48126e-5 -2.36351e-6 -4.245e-5 -5.35945e-6 -1.40099e-5 -4.445e-5 -1.16464e-5 -9.45317e-6 -4.245e-5 2.36351e-6 -1.48126e-5 -4.445e-5 -5.35945e-6 -1.40099e-5 -4.245e-5 9.45317e-6 -1.16464e-5 -4.445e-5 2.36351e-6 -1.48126e-5 -4.245e-5 9.45317e-6 -1.16464e-5 -4.245e-5 9.38133e-6 1.49689e-6 -4.245e-5 7.69255e-6 -5.57436e-6 -4.245e-5 9.24003e-6 -2.20679e-6 -4.245e-5 2.20691e-6 9.24008e-6 -4.245e-5 8.09447e-6 4.9727e-6 -4.245e-5 5.57585e-6 7.69147e-6 -4.245e-5 -1.49687e-6 9.38122e-6 -4.245e-5 -7.69255e-6 5.57436e-6 -4.245e-5 -4.97282e-6 8.09448e-6 -4.245e-5 -9.38133e-6 -1.49689e-6 -4.245e-5 -9.24003e-6 2.20679e-6 -4.245e-5 1.49687e-6 -9.38122e-6 -4.245e-5 4.97282e-6 -8.09448e-6 -4.245e-5 -2.20691e-6 -9.24008e-6 -4.245e-5 -8.09447e-6 -4.9727e-6 -4.245e-5 -5.57585e-6 -7.69147e-6 -4.245e-5 -9.03219e-6 -1.44118e-6 -4.23036e-5 -8.75373e-6 2.09097e-6 -4.195e-5 -7.66836e-6 -4.71129e-6 -4.195e-5 -8.88757e-6 -1.41811e-6 -4.195e-5 -5.28171e-6 -7.28722e-6 -4.195e-5 -2.09097e-6 -8.75373e-6 -4.195e-5 1.41811e-6 -8.88757e-6 -4.195e-5 7.28722e-6 -5.28171e-6 -4.195e-5 4.71129e-6 -7.66836e-6 -4.195e-5 8.75373e-6 -2.09097e-6 -4.195e-5 9.03219e-6 1.44118e-6 -4.23036e-5 7.66836e-6 4.71129e-6 -4.195e-5 8.88757e-6 1.41811e-6 -4.195e-5 5.28171e-6 7.28722e-6 -4.195e-5 2.09097e-6 8.75373e-6 -4.195e-5 -1.41811e-6 8.88757e-6 -4.195e-5 -7.28722e-6 5.28171e-6 -4.195e-5 -4.71129e-6 7.66836e-6 -4.195e-5 -7.28729e-6 5.28161e-6 -3.895e-5 -8.88757e-6 -1.41811e-6 -3.895e-5 -1.41811e-6 8.88757e-6 -3.895e-5 5.2818e-6 7.28715e-6 -3.895e-5 8.88757e-6 1.41811e-6 -3.895e-5 7.28729e-6 -5.28161e-6 -3.895e-5 6.91256e-6 1.10297e-6 -3.695e-5 5.66749e-6 -4.10836e-6 -3.695e-5 4.10755e-6 5.66807e-6 -3.695e-5 -1.10295e-6 6.91244e-6 -3.695e-5 -5.66749e-6 4.10836e-6 -3.695e-5 -6.91256e-6 -1.10297e-6 -3.695e-5 -5.2818e-6 -7.28715e-6 -3.895e-5 -4.10755e-6 -5.66807e-6 -3.695e-5 -3.22773e-6 -4.45314e-6 -3.695e-5 -5.43129e-6 -8.66622e-7 -3.695e-5 -4.93754e-6 -7.87838e-7 -3.745e-5 -4.45327e-6 3.22755e-6 -3.695e-5 -4.67e-6 1.78636e-6 -3.745e-5 8.66623e-7 -5.43129e-6 -3.695e-5 -1.78656e-6 -4.66993e-6 -3.745e-5 -3.8822e-6 -3.15096e-6 -3.745e-5 4.45327e-6 -3.22755e-6 -3.695e-5 7.87839e-7 -4.93754e-6 -3.745e-5 1.10295e-6 -6.91244e-6 -3.695e-5 5.43129e-6 8.66622e-7 -3.695e-5 4.67e-6 -1.78636e-6 -3.745e-5 3.15112e-6 -3.88206e-6 -3.745e-5 3.22773e-6 4.45314e-6 -3.695e-5 4.93754e-6 7.87838e-7 -3.745e-5 -8.66623e-7 5.43129e-6 -3.695e-5 1.78656e-6 4.66993e-6 -3.745e-5 3.8822e-6 3.15096e-6 -3.745e-5 -7.87839e-7 4.93754e-6 -3.745e-5 -3.15112e-6 3.88206e-6 -3.745e-5 1.41811e-6 -8.88757e-6 -3.895e-5 -3.88212e-6 -3.15106e-6 -4.145e-5 -3.15106e-6 3.88212e-6 -4.145e-5 -4.66996e-6 1.78648e-6 -4.145e-5 3.88212e-6 3.15106e-6 -4.145e-5 1.78648e-6 4.66996e-6 -4.145e-5 3.15106e-6 -3.88212e-6 -4.145e-5 4.66996e-6 -1.78648e-6 -4.145e-5 -1.78648e-6 -4.66996e-6 -4.145e-5 -8.1433e-7 -5.40064e-6 -4.345e-5 2.92941e-7 -4.47105e-6 -4.345e-5 -1.47111e-6 -3.29295e-6 -4.345e-5 -1.47111e-6 -3.29295e-6 -4.195e-5 -2.48618e-6 -3.49509e-6 -4.345e-5 -2.92941e-7 -1.52895e-6 -4.345e-5 -2.92941e-7 -1.52895e-6 -4.195e-5 2.48618e-6 -2.50491e-6 -4.345e-5 1.47111e-6 -2.70705e-6 -4.345e-5 2.92941e-7 -4.47105e-6 -4.195e-5 1.67185e-6 -4.90555e-6 -4.345e-5 8.1433e-7 -5.99356e-7 -4.345e-5 1.47111e-6 -2.70705e-6 -4.195e-5 -1.67185e-6 -1.09445e-6 -4.345e-5 -2.63528e-6 -3.52478e-6 -4.3513e-5 -8.83395e-7 -5.60425e-6 -4.3665e-5 -1.81365e-6 -9.32833e-7 -4.3665e-5 -2.69704e-6 -3.53708e-6 -4.3665e-5 8.83395e-7 -3.95751e-7 -4.3665e-5 2.63528e-6 -2.47522e-6 -4.3513e-5 1.81365e-6 -5.06717e-6 -4.3665e-5 2.69704e-6 -2.46292e-6 -4.3665e-5 1.22593e-6 -2.75587e-6 -4.195e-5 2.44128e-7 -4.22593e-6 -4.195e-5 -2.44128e-7 -1.77407e-6 -4.195e-5 -1.22593e-6 -3.24413e-6 -4.195e-5 -1.22593e-6 -3.24413e-6 -2.745e-5 -2.44128e-7 -1.77407e-6 -2.745e-5 2.44128e-7 -4.22593e-6 -2.745e-5 1.22593e-6 -2.75587e-6 -2.745e-5 -1.08498e-6 -3.95192e-6 -4.645e-5 -7.87221e-7 -5.32001e-6 -4.645e-5 -2.40282e-6 -3.47849e-6 -4.645e-5 -2.69704e-6 -3.53708e-6 -4.615e-5 -1.36688e-6 -2.53634e-6 -4.645e-5 -1.61592e-6 -1.15854e-6 -4.645e-5 -1.81365e-6 -9.32833e-7 -4.615e-5 2.81895e-7 -4.41558e-6 -4.645e-5 1.61592e-6 -4.84146e-6 -4.645e-5 -8.83395e-7 -5.60425e-6 -4.615e-5 1.36688e-6 -3.46366e-6 -4.645e-5 2.40282e-6 -2.52151e-6 -4.645e-5 1.81365e-6 -5.06717e-6 -4.615e-5 1.08498e-6 -2.04808e-6 -4.645e-5 7.87221e-7 -6.79988e-7 -4.645e-5 2.69704e-6 -2.46292e-6 -4.615e-5 -2.81895e-7 -1.58442e-6 -4.645e-5 8.83395e-7 -3.95751e-7 -4.615e-5 -1.08498e-6 -3.95192e-6 -4.515e-5 2.81895e-7 -4.41558e-6 -4.515e-5 -1.36688e-6 -2.53634e-6 -4.515e-5 -2.81895e-7 -1.58442e-6 -4.515e-5 1.08498e-6 -2.04808e-6 -4.515e-5 1.36688e-6 -3.46366e-6 -4.515e-5 8.1433e-7 5.40064e-6 -4.345e-5 -2.92941e-7 4.47105e-6 -4.345e-5 1.47111e-6 3.29295e-6 -4.345e-5 1.47111e-6 3.29295e-6 -4.195e-5 2.48618e-6 3.49509e-6 -4.345e-5 2.92941e-7 1.52895e-6 -4.345e-5 2.92941e-7 1.52895e-6 -4.195e-5 -2.48618e-6 2.50491e-6 -4.345e-5 -1.47111e-6 2.70705e-6 -4.345e-5 -2.92941e-7 4.47105e-6 -4.195e-5 -1.67185e-6 4.90555e-6 -4.345e-5 -8.1433e-7 5.99356e-7 -4.345e-5 -1.47111e-6 2.70705e-6 -4.195e-5 1.67185e-6 1.09445e-6 -4.345e-5 2.63528e-6 3.52478e-6 -4.3513e-5 8.83395e-7 5.60425e-6 -4.3665e-5 1.81365e-6 9.32833e-7 -4.3665e-5 2.69704e-6 3.53708e-6 -4.3665e-5 -8.83395e-7 3.95751e-7 -4.3665e-5 -2.63528e-6 2.47522e-6 -4.3513e-5 -1.81365e-6 5.06717e-6 -4.3665e-5 -2.69704e-6 2.46292e-6 -4.3665e-5 -1.22593e-6 2.75587e-6 -4.195e-5 -2.44128e-7 4.22593e-6 -4.195e-5 2.44128e-7 1.77407e-6 -4.195e-5 1.22593e-6 3.24413e-6 -4.195e-5 1.22593e-6 3.24413e-6 -2.745e-5 2.44128e-7 1.77407e-6 -2.745e-5 -2.44128e-7 4.22593e-6 -2.745e-5 -1.22593e-6 2.75587e-6 -2.745e-5 1.08498e-6 3.95192e-6 -4.645e-5 7.87221e-7 5.32001e-6 -4.645e-5 2.40282e-6 3.47849e-6 -4.645e-5 2.69704e-6 3.53708e-6 -4.615e-5 1.36688e-6 2.53634e-6 -4.645e-5 1.61592e-6 1.15854e-6 -4.645e-5 1.81365e-6 9.32833e-7 -4.615e-5 -2.81895e-7 4.41558e-6 -4.645e-5 -1.61592e-6 4.84146e-6 -4.645e-5 8.83395e-7 5.60425e-6 -4.615e-5 -1.36688e-6 3.46366e-6 -4.645e-5 -2.40282e-6 2.52151e-6 -4.645e-5 -1.81365e-6 5.06717e-6 -4.615e-5 -1.08498e-6 2.04808e-6 -4.645e-5 -7.87221e-7 6.79988e-7 -4.645e-5 -2.69704e-6 2.46292e-6 -4.615e-5 2.81895e-7 1.58442e-6 -4.645e-5 -8.83395e-7 3.95751e-7 -4.615e-5 1.08498e-6 3.95192e-6 -4.515e-5 -2.81895e-7 4.41558e-6 -4.515e-5 1.36688e-6 2.53634e-6 -4.515e-5 2.81895e-7 1.58442e-6 -4.515e-5 -1.08498e-6 2.04808e-6 -4.515e-5 -1.36688e-6 3.46366e-6 -4.515e-5 -6.42904e-6 1.57128e-5 -4.675e-5 -5.73359e-6 1.69802e-5 -4.675e-5 -4.23363e-6 1.54802e-5 -4.675e-5 -4.23363e-6 1.54802e-5 -4.825e-5 -4.23363e-6 1.44452e-5 -4.675e-5 -2.73367e-6 1.69802e-5 -4.675e-5 -2.73367e-6 1.69802e-5 -4.825e-5 -4.23363e-6 1.95152e-5 -4.675e-5 -4.23363e-6 1.84802e-5 -4.675e-5 -5.73359e-6 1.69802e-5 -4.825e-5 -6.42904e-6 1.82476e-5 -4.675e-5 -2.03822e-6 1.82476e-5 -4.675e-5 -4.23363e-6 1.84802e-5 -4.825e-5 -2.03822e-6 1.57128e-5 -4.675e-5 -4.23363e-6 1.42931e-5 -4.6687e-5 -6.6152e-6 1.56052e-5 -4.6535e-5 -1.85206e-6 1.56052e-5 -4.6535e-5 -4.23363e-6 1.42302e-5 -4.6535e-5 -1.85206e-6 1.83552e-5 -4.6535e-5 -4.23363e-6 1.96672e-5 -4.6687e-5 -6.6152e-6 1.83552e-5 -4.6535e-5 -4.23363e-6 1.97302e-5 -4.6535e-5 -4.23363e-6 1.82302e-5 -4.825e-5 -5.48363e-6 1.69802e-5 -4.825e-5 -2.98363e-6 1.69802e-5 -4.825e-5 -4.23363e-6 1.57302e-5 -4.825e-5 -4.23363e-6 1.57302e-5 -5.475e-5 -2.98363e-6 1.69802e-5 -5.475e-5 -5.48363e-6 1.69802e-5 -5.475e-5 -4.23363e-6 1.82302e-5 -5.475e-5 -4.95532e-6 1.57302e-5 -4.375e-5 -6.3554e-6 1.57552e-5 -4.375e-5 -4.23363e-6 1.45302e-5 -4.375e-5 -4.23363e-6 1.42302e-5 -4.405e-5 -3.51195e-6 1.57302e-5 -4.375e-5 -2.11187e-6 1.57552e-5 -4.375e-5 -1.85206e-6 1.56052e-5 -4.405e-5 -5.67701e-6 1.69802e-5 -4.375e-5 -6.3554e-6 1.82052e-5 -4.375e-5 -6.6152e-6 1.56052e-5 -4.405e-5 -4.95532e-6 1.82302e-5 -4.375e-5 -4.23363e-6 1.94302e-5 -4.375e-5 -6.6152e-6 1.83552e-5 -4.405e-5 -3.51195e-6 1.82302e-5 -4.375e-5 -2.11187e-6 1.82052e-5 -4.375e-5 -4.23363e-6 1.97302e-5 -4.405e-5 -2.79026e-6 1.69802e-5 -4.375e-5 -1.85206e-6 1.83552e-5 -4.405e-5 -4.95532e-6 1.57302e-5 -4.505e-5 -5.67701e-6 1.69802e-5 -4.505e-5 -3.51195e-6 1.57302e-5 -4.505e-5 -2.79026e-6 1.69802e-5 -4.505e-5 -3.51195e-6 1.82302e-5 -4.505e-5 -4.95532e-6 1.82302e-5 -4.505e-5 -1.91756e-5 2.96625e-6 -4.675e-5 -1.84801e-5 4.23363e-6 -4.675e-5 -1.69802e-5 2.73363e-6 -4.675e-5 -1.69802e-5 2.73363e-6 -4.825e-5 -1.69802e-5 1.69863e-6 -4.675e-5 -1.54802e-5 4.23363e-6 -4.675e-5 -1.54802e-5 4.23363e-6 -4.825e-5 -1.69802e-5 6.76863e-6 -4.675e-5 -1.69802e-5 5.73363e-6 -4.675e-5 -1.84801e-5 4.23363e-6 -4.825e-5 -1.91756e-5 5.50101e-6 -4.675e-5 -1.47848e-5 5.50101e-6 -4.675e-5 -1.69802e-5 5.73363e-6 -4.825e-5 -1.47848e-5 2.96625e-6 -4.675e-5 -1.69802e-5 1.54661e-6 -4.6687e-5 -1.93617e-5 2.85863e-6 -4.6535e-5 -1.45986e-5 2.85863e-6 -4.6535e-5 -1.69802e-5 1.48363e-6 -4.6535e-5 -1.45986e-5 5.60863e-6 -4.6535e-5 -1.69802e-5 6.92066e-6 -4.6687e-5 -1.93617e-5 5.60863e-6 -4.6535e-5 -1.69802e-5 6.98363e-6 -4.6535e-5 -1.69802e-5 5.48363e-6 -4.825e-5 -1.82302e-5 4.23363e-6 -4.825e-5 -1.57302e-5 4.23363e-6 -4.825e-5 -1.69802e-5 2.98363e-6 -4.825e-5 -1.69802e-5 2.98363e-6 -5.475e-5 -1.57302e-5 4.23363e-6 -5.475e-5 -1.82302e-5 4.23363e-6 -5.475e-5 -1.69802e-5 5.48363e-6 -5.475e-5 -1.77019e-5 2.98363e-6 -4.375e-5 -1.91019e-5 3.00863e-6 -4.375e-5 -1.69802e-5 1.78363e-6 -4.375e-5 -1.69802e-5 1.48363e-6 -4.405e-5 -1.62585e-5 2.98363e-6 -4.375e-5 -1.48584e-5 3.00863e-6 -4.375e-5 -1.45986e-5 2.85863e-6 -4.405e-5 -1.84236e-5 4.23363e-6 -4.375e-5 -1.91019e-5 5.45863e-6 -4.375e-5 -1.93617e-5 2.85863e-6 -4.405e-5 -1.77019e-5 5.48363e-6 -4.375e-5 -1.69802e-5 6.68363e-6 -4.375e-5 -1.93617e-5 5.60863e-6 -4.405e-5 -1.62585e-5 5.48363e-6 -4.375e-5 -1.48584e-5 5.45863e-6 -4.375e-5 -1.69802e-5 6.98363e-6 -4.405e-5 -1.55368e-5 4.23363e-6 -4.375e-5 -1.45986e-5 5.60863e-6 -4.405e-5 -1.77019e-5 2.98363e-6 -4.505e-5 -1.84236e-5 4.23363e-6 -4.505e-5 -1.62585e-5 2.98363e-6 -4.505e-5 -1.55368e-5 4.23363e-6 -4.505e-5 -1.62585e-5 5.48363e-6 -4.505e-5 -1.77019e-5 5.48363e-6 -4.505e-5 -2.72915e-7 3.32104e-5 -5.4e-5 3.88232e-6 3.46508e-5 -5.4e-5 4.93754e-6 3.22878e-5 -5.4e-5 4.93754e-6 3.22878e-5 -5.37e-5 1.61772e-6 3.08811e-5 -5.4e-5 4.67005e-6 2.97139e-5 -5.4e-5 4.66996e-6 2.97135e-5 -5.37e-5 1.3448e-6 3.25916e-5 -5.4e-5 -3.15123e-6 3.53819e-5 -5.4e-5 1.78672e-6 3.61698e-5 -5.4e-5 3.88212e-6 3.46511e-5 -5.37e-5 -4.67005e-6 3.32861e-5 -5.4e-5 -7.87824e-7 3.64375e-5 -5.4e-5 1.78648e-6 3.617e-5 -5.37e-5 -7.87838e-7 3.64375e-5 -5.37e-5 -3.15106e-6 3.53821e-5 -5.37e-5 -1.61772e-6 3.21189e-5 -5.4e-5 -4.93754e-6 3.07122e-5 -5.4e-5 -4.66996e-6 3.32865e-5 -5.37e-5 2.72915e-7 2.97896e-5 -5.4e-5 -3.88232e-6 2.83492e-5 -5.4e-5 -4.93754e-6 3.07122e-5 -5.37e-5 -1.3448e-6 3.04084e-5 -5.4e-5 3.15123e-6 2.76181e-5 -5.4e-5 -1.78672e-6 2.68302e-5 -5.4e-5 -3.88212e-6 2.83489e-5 -5.37e-5 7.87824e-7 2.65625e-5 -5.4e-5 -1.78648e-6 2.683e-5 -5.37e-5 7.87838e-7 2.65625e-5 -5.37e-5 3.15106e-6 2.76179e-5 -5.37e-5 1.61772e-6 3.08811e-5 -5.17e-5 1.3448e-6 3.25916e-5 -5.17e-5 2.72915e-7 2.97896e-5 -5.17e-5 -1.3448e-6 3.04084e-5 -5.17e-5 -1.61772e-6 3.21189e-5 -5.17e-5 -2.72915e-7 3.32104e-5 -5.17e-5 -2.46877e-6 3.11061e-5 -5.12e-5 -1.57553e-6 3.34411e-5 -5.12e-5 -8.93241e-7 2.9165e-5 -5.12e-5 1.57553e-6 2.95589e-5 -5.12e-5 2.46877e-6 3.18939e-5 -5.12e-5 -2.46877e-6 3.11061e-5 -4.88e-5 -1.57567e-6 3.34409e-5 -4.88e-5 -8.93436e-7 2.91652e-5 -4.88e-5 1.57567e-6 2.95591e-5 -4.88e-5 2.46877e-6 3.18939e-5 -4.88e-5 8.93241e-7 3.3835e-5 -5.12e-5 -2.07377e-6 3.11691e-5 -4.88e-5 -1.32344e-6 3.31305e-5 -4.88e-5 1.32344e-6 2.98695e-5 -4.88e-5 -7.50323e-7 2.95386e-5 -4.88e-5 2.07377e-6 3.18309e-5 -4.88e-5 8.93436e-7 3.38348e-5 -4.88e-5 7.50323e-7 3.34614e-5 -4.88e-5 2.07377e-6 3.18309e-5 -2.9e-5 1.32344e-6 2.98695e-5 -2.9e-5 7.50323e-7 3.34614e-5 -2.9e-5 -1.32344e-6 3.31305e-5 -2.9e-5 -2.07377e-6 3.11691e-5 -2.9e-5 -7.50323e-7 2.95386e-5 -2.9e-5 -3.32104e-5 -2.72915e-7 -5.4e-5 -3.46508e-5 3.88232e-6 -5.4e-5 -3.22878e-5 4.93754e-6 -5.4e-5 -3.22878e-5 4.93754e-6 -5.37e-5 -3.08811e-5 1.61772e-6 -5.4e-5 -2.97139e-5 4.67005e-6 -5.4e-5 -2.97135e-5 4.66996e-6 -5.37e-5 -3.25916e-5 1.3448e-6 -5.4e-5 -3.53819e-5 -3.15123e-6 -5.4e-5 -3.61698e-5 1.78672e-6 -5.4e-5 -3.46511e-5 3.88212e-6 -5.37e-5 -3.32861e-5 -4.67005e-6 -5.4e-5 -3.64375e-5 -7.87824e-7 -5.4e-5 -3.617e-5 1.78648e-6 -5.37e-5 -3.64375e-5 -7.87838e-7 -5.37e-5 -3.53821e-5 -3.15106e-6 -5.37e-5 -3.21189e-5 -1.61772e-6 -5.4e-5 -3.07122e-5 -4.93754e-6 -5.4e-5 -3.32865e-5 -4.66996e-6 -5.37e-5 -2.97896e-5 2.72915e-7 -5.4e-5 -2.83492e-5 -3.88232e-6 -5.4e-5 -3.07122e-5 -4.93754e-6 -5.37e-5 -3.04084e-5 -1.3448e-6 -5.4e-5 -2.76181e-5 3.15123e-6 -5.4e-5 -2.68302e-5 -1.78672e-6 -5.4e-5 -2.83489e-5 -3.88212e-6 -5.37e-5 -2.65625e-5 7.87824e-7 -5.4e-5 -2.683e-5 -1.78648e-6 -5.37e-5 -2.65625e-5 7.87838e-7 -5.37e-5 -2.76179e-5 3.15106e-6 -5.37e-5 -3.08811e-5 1.61772e-6 -5.17e-5 -3.25916e-5 1.3448e-6 -5.17e-5 -2.97896e-5 2.72915e-7 -5.17e-5 -3.04084e-5 -1.3448e-6 -5.17e-5 -3.21189e-5 -1.61772e-6 -5.17e-5 -3.32104e-5 -2.72915e-7 -5.17e-5 -3.11061e-5 -2.46877e-6 -5.12e-5 -3.34411e-5 -1.57553e-6 -5.12e-5 -2.9165e-5 -8.93241e-7 -5.12e-5 -2.95589e-5 1.57553e-6 -5.12e-5 -3.18939e-5 2.46877e-6 -5.12e-5 -3.11061e-5 -2.46877e-6 -4.88e-5 -3.34409e-5 -1.57567e-6 -4.88e-5 -2.91652e-5 -8.93436e-7 -4.88e-5 -2.95591e-5 1.57567e-6 -4.88e-5 -3.18939e-5 2.46877e-6 -4.88e-5 -3.3835e-5 8.93241e-7 -5.12e-5 -3.11691e-5 -2.07377e-6 -4.88e-5 -3.31305e-5 -1.32344e-6 -4.88e-5 -2.98695e-5 1.32344e-6 -4.88e-5 -2.95386e-5 -7.50323e-7 -4.88e-5 -3.18309e-5 2.07377e-6 -4.88e-5 -3.38348e-5 8.93436e-7 -4.88e-5 -3.34614e-5 7.50323e-7 -4.88e-5 -3.18309e-5 2.07377e-6 -2.9e-5 -2.98695e-5 1.32344e-6 -2.9e-5 -3.34614e-5 7.50323e-7 -2.9e-5 -3.31305e-5 -1.32344e-6 -2.9e-5 -3.11691e-5 -2.07377e-6 -2.9e-5 -2.95386e-5 -7.50323e-7 -2.9e-5 2.72915e-7 -3.32104e-5 -5.4e-5 -3.88232e-6 -3.46508e-5 -5.4e-5 -4.93754e-6 -3.22878e-5 -5.4e-5 -4.93754e-6 -3.22878e-5 -5.37e-5 -1.61772e-6 -3.08811e-5 -5.4e-5 -4.67005e-6 -2.97139e-5 -5.4e-5 -4.66996e-6 -2.97135e-5 -5.37e-5 -1.3448e-6 -3.25916e-5 -5.4e-5 3.15123e-6 -3.53819e-5 -5.4e-5 -1.78672e-6 -3.61698e-5 -5.4e-5 -3.88212e-6 -3.46511e-5 -5.37e-5 4.67005e-6 -3.32861e-5 -5.4e-5 7.87824e-7 -3.64375e-5 -5.4e-5 -1.78648e-6 -3.617e-5 -5.37e-5 7.87838e-7 -3.64375e-5 -5.37e-5 3.15106e-6 -3.53821e-5 -5.37e-5 1.61772e-6 -3.21189e-5 -5.4e-5 4.93754e-6 -3.07122e-5 -5.4e-5 4.66996e-6 -3.32865e-5 -5.37e-5 -2.72915e-7 -2.97896e-5 -5.4e-5 3.88232e-6 -2.83492e-5 -5.4e-5 4.93754e-6 -3.07122e-5 -5.37e-5 1.3448e-6 -3.04084e-5 -5.4e-5 -3.15123e-6 -2.76181e-5 -5.4e-5 1.78672e-6 -2.68302e-5 -5.4e-5 3.88212e-6 -2.83489e-5 -5.37e-5 -7.87824e-7 -2.65625e-5 -5.4e-5 1.78648e-6 -2.683e-5 -5.37e-5 -7.87838e-7 -2.65625e-5 -5.37e-5 -3.15106e-6 -2.76179e-5 -5.37e-5 -1.61772e-6 -3.08811e-5 -5.17e-5 -1.3448e-6 -3.25916e-5 -5.17e-5 -2.72915e-7 -2.97896e-5 -5.17e-5 1.3448e-6 -3.04084e-5 -5.17e-5 1.61772e-6 -3.21189e-5 -5.17e-5 2.72915e-7 -3.32104e-5 -5.17e-5 2.46877e-6 -3.11061e-5 -5.12e-5 1.57553e-6 -3.34411e-5 -5.12e-5 8.93241e-7 -2.9165e-5 -5.12e-5 -1.57553e-6 -2.95589e-5 -5.12e-5 -2.46877e-6 -3.18939e-5 -5.12e-5 2.46877e-6 -3.11061e-5 -4.88e-5 1.57567e-6 -3.34409e-5 -4.88e-5 8.93436e-7 -2.91652e-5 -4.88e-5 -1.57567e-6 -2.95591e-5 -4.88e-5 -2.46877e-6 -3.18939e-5 -4.88e-5 -8.93241e-7 -3.3835e-5 -5.12e-5 2.07377e-6 -3.11691e-5 -4.88e-5 1.32344e-6 -3.31305e-5 -4.88e-5 -1.32344e-6 -2.98695e-5 -4.88e-5 7.50323e-7 -2.95386e-5 -4.88e-5 -2.07377e-6 -3.18309e-5 -4.88e-5 -8.93436e-7 -3.38348e-5 -4.88e-5 -7.50323e-7 -3.34614e-5 -4.88e-5 -2.07377e-6 -3.18309e-5 -2.9e-5 -1.32344e-6 -2.98695e-5 -2.9e-5 -7.50323e-7 -3.34614e-5 -2.9e-5 1.32344e-6 -3.31305e-5 -2.9e-5 2.07377e-6 -3.11691e-5 -2.9e-5 7.50323e-7 -2.95386e-5 -2.9e-5 3.32104e-5 2.72915e-7 -5.4e-5 3.46508e-5 -3.88232e-6 -5.4e-5 3.22878e-5 -4.93754e-6 -5.4e-5 3.22878e-5 -4.93754e-6 -5.37e-5 3.08811e-5 -1.61772e-6 -5.4e-5 2.97139e-5 -4.67005e-6 -5.4e-5 2.97135e-5 -4.66996e-6 -5.37e-5 3.25916e-5 -1.3448e-6 -5.4e-5 3.53819e-5 3.15123e-6 -5.4e-5 3.61698e-5 -1.78672e-6 -5.4e-5 3.46511e-5 -3.88212e-6 -5.37e-5 3.32861e-5 4.67005e-6 -5.4e-5 3.64375e-5 7.87824e-7 -5.4e-5 3.617e-5 -1.78648e-6 -5.37e-5 3.64375e-5 7.87838e-7 -5.37e-5 3.53821e-5 3.15106e-6 -5.37e-5 3.21189e-5 1.61772e-6 -5.4e-5 3.07122e-5 4.93754e-6 -5.4e-5 3.32865e-5 4.66996e-6 -5.37e-5 2.97896e-5 -2.72915e-7 -5.4e-5 2.83492e-5 3.88232e-6 -5.4e-5 3.07122e-5 4.93754e-6 -5.37e-5 3.04084e-5 1.3448e-6 -5.4e-5 2.76181e-5 -3.15123e-6 -5.4e-5 2.68302e-5 1.78672e-6 -5.4e-5 2.83489e-5 3.88212e-6 -5.37e-5 2.65625e-5 -7.87824e-7 -5.4e-5 2.683e-5 1.78648e-6 -5.37e-5 2.65625e-5 -7.87838e-7 -5.37e-5 2.76179e-5 -3.15106e-6 -5.37e-5 3.08811e-5 -1.61772e-6 -5.17e-5 3.25916e-5 -1.3448e-6 -5.17e-5 2.97896e-5 -2.72915e-7 -5.17e-5 3.04084e-5 1.3448e-6 -5.17e-5 3.21189e-5 1.61772e-6 -5.17e-5 3.32104e-5 2.72915e-7 -5.17e-5 3.11061e-5 2.46877e-6 -5.12e-5 3.34411e-5 1.57553e-6 -5.12e-5 2.9165e-5 8.93241e-7 -5.12e-5 2.95589e-5 -1.57553e-6 -5.12e-5 3.18939e-5 -2.46877e-6 -5.12e-5 3.11061e-5 2.46877e-6 -4.88e-5 3.34409e-5 1.57567e-6 -4.88e-5 2.91652e-5 8.93436e-7 -4.88e-5 2.95591e-5 -1.57567e-6 -4.88e-5 3.18939e-5 -2.46877e-6 -4.88e-5 3.3835e-5 -8.93241e-7 -5.12e-5 3.11691e-5 2.07377e-6 -4.88e-5 3.31305e-5 1.32344e-6 -4.88e-5 2.98695e-5 -1.32344e-6 -4.88e-5 2.95386e-5 7.50323e-7 -4.88e-5 3.18309e-5 -2.07377e-6 -4.88e-5 3.38348e-5 -8.93436e-7 -4.88e-5 3.34614e-5 -7.50323e-7 -4.88e-5 3.18309e-5 -2.07377e-6 -2.9e-5 2.98695e-5 -1.32344e-6 -2.9e-5 3.34614e-5 -7.50323e-7 -2.9e-5 3.31305e-5 1.32344e-6 -2.9e-5 3.11691e-5 2.07377e-6 -2.9e-5 2.95386e-5 7.50323e-7 -2.9e-5</float_array>
+ <technique_common>
+ <accessor source="#base-mesh-positions-array" count="4570" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="base-mesh-normals">
+ <float_array id="base-mesh-normals-array" count="27564">0 0 1 0.7071068 -0.7071068 0 0 0 1 0 0 1 1 0 0 0 0 1 0.7071068 -0.7071068 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 0 0 1 -0.7071068 -0.7071068 0 -1 0 0 -1 0 0 0 0 1 -0.7071068 0.7071068 0 0 0 1 -0.7071068 0.7071068 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0.7071068 0.7071068 0 0 0 1 0.7071068 0.7071068 0 1 0 0 -0.9276651 -0.3734131 0 -0.9978078 0.06617802 -1.4255e-4 -0.9978104 0.06613963 0 -0.6738001 -0.7389137 1.73713e-5 -0.92768 -0.3733761 -1.47905e-4 -0.286572 -0.9580587 1.46911e-4 -0.673775 -0.7389366 1.43507e-4 0.1575673 -0.9875082 -3.3026e-4 -0.2865496 -0.9580653 2.33251e-4 0.5704883 -0.8213056 2.19685e-4 0.1575633 -0.9875088 -3.45197e-4 0.8702914 -0.492537 1.48941e-4 0.5704687 -0.8213193 1.30875e-4 0.9978078 -0.06617802 -1.4255e-4 0.8702759 -0.4925644 3.22169e-5 0.9276651 0.3734131 0 0.9978104 -0.06613963 0 0.6738001 0.7389137 1.73713e-5 0.92768 0.3733761 -1.4788e-4 0.286572 0.9580587 1.46911e-4 0.673775 0.7389366 1.43507e-4 -0.1575673 0.9875082 -3.3026e-4 0.2865496 0.9580653 2.33251e-4 -0.5704883 0.8213056 2.19685e-4 -0.1575633 0.9875088 -3.45197e-4 -0.8702914 0.492537 1.48941e-4 -0.5704687 0.8213193 1.30875e-4 -0.8702759 0.4925644 3.22169e-5 0 0 -1 0.9878677 -0.1552976 0 0.8904868 0.4550091 0 0.8904868 0.4550091 0 0 0 -1 0.7079182 -0.7062944 0 0 0 -1 0.9878677 -0.1552976 0 0 0 -1 0.1575614 -0.9875092 0 0 0 -1 0.7079182 -0.7062944 0 0 0 -1 -0.452963 -0.8915293 0 0 0 -1 0.1575614 -0.9875092 0 0 0 -1 -0.8904868 -0.4550091 0 -0.452963 -0.8915293 0 -0.9878677 0.1552976 0 -0.8904868 -0.4550091 0 -0.7079182 0.7062944 0 -0.9878677 0.1552976 0 -0.1575614 0.9875092 0 -0.7079182 0.7062944 0 0.452963 0.8915293 0 -0.1575614 0.9875092 0 0.452963 0.8915293 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.890502 -0.4549794 0 -0.9878738 0.1552591 -1.39481e-5 -0.9878805 0.1552162 0 -0.4530234 -0.8914986 3.2007e-6 -0.8905265 -0.4549314 -1.72479e-5 0.1575711 -0.9875076 -8.3418e-5 -0.4528846 -0.8915692 5.31826e-5 0.7079566 -0.706256 5.03946e-5 0.1575603 -0.9875094 -8.69232e-5 0.9878738 -0.1552591 -1.39481e-5 0.7078575 -0.7063552 5.41869e-6 0.890502 0.4549794 0 0.9878805 -0.1552162 0 0.4530234 0.8914986 3.2007e-6 0.8905265 0.4549314 -1.72564e-5 -0.1575711 0.9875076 -8.3418e-5 0.4528846 0.8915692 5.31826e-5 -0.7079566 0.706256 5.03946e-5 -0.1575603 0.9875094 -8.69232e-5 -0.7078575 0.7063552 5.41869e-6 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0.9238986 -0.3826374 0 0 0 -1 0.9238986 0.3826374 -9.64338e-5 0 0 -1 0 0 -1 0.9238767 0.3826901 0 0 0 -1 0.3827456 -0.9238538 2.76882e-4 0 0 -1 0.9238767 -0.3826901 -9.64143e-5 0 0 -1 -0.3827456 -0.9238538 1.90068e-4 0 0 -1 0.3826981 -0.9238734 1.90077e-4 0 0 -1 -0.9238986 -0.3826374 -9.64338e-5 0 0 -1 0 0 -1 -0.3826981 -0.9238734 2.76903e-4 0 0 -1 -0.9238986 0.3826374 0 0 0 -1 0 0 -1 -0.9238767 -0.3826901 0 0 0 -1 -0.3827456 0.9238538 2.76882e-4 0 0 -1 -0.9238767 0.3826901 -9.64143e-5 0 0 -1 0.3827456 0.9238538 1.90068e-4 0 0 -1 0 0 -1 -0.3826981 0.9238734 1.90077e-4 0 0 -1 0 0 -1 0.3826981 0.9238734 2.76903e-4 0 0 -1 0.3826374 0.9238986 0 0 0 -1 -0.3826374 0.9238986 -9.64338e-5 -0.3826901 0.9238767 0 0 0 -1 0.9238538 0.3827456 2.76882e-4 0 0 -1 0 0 -1 0.3826901 0.9238767 -9.64143e-5 0 0 -1 0.9238538 -0.3827456 1.90068e-4 0 0 -1 0.9238734 0.3826981 1.90077e-4 0 0 -1 0.3826374 -0.9238986 -9.64338e-5 0.9238734 -0.3826981 2.76903e-4 0 0 -1 -0.3826374 -0.9238986 0 0 0 -1 0.3826901 -0.9238767 0 0 0 -1 -0.9238538 -0.3827456 2.76882e-4 0 0 -1 -0.3826901 -0.9238767 -9.64143e-5 0 0 -1 -0.9238538 0.3827456 1.90068e-4 0 0 -1 -0.9238734 -0.3826981 1.90077e-4 -0.9238734 0.3826981 2.76903e-4 0 0 -1 -0.9238986 0.3826374 0 0 0 -1 -0.9238986 -0.3826374 -9.64338e-5 0 0 -1 0 0 -1 -0.9238767 -0.3826901 0 0 0 -1 -0.3827456 0.9238538 2.76882e-4 0 0 -1 -0.9238767 0.3826901 -9.64143e-5 0 0 -1 0.3827456 0.9238538 1.90068e-4 0 0 -1 -0.3826981 0.9238734 1.90077e-4 0 0 -1 0.9238986 0.3826374 -9.64338e-5 0 0 -1 0 0 -1 0.3826981 0.9238734 2.76903e-4 0 0 -1 0.9238986 -0.3826374 0 0 0 -1 0 0 -1 0.9238767 0.3826901 0 0 0 -1 0.3827456 -0.9238538 2.76882e-4 0 0 -1 0.9238767 -0.3826901 -9.64143e-5 0 0 -1 -0.3827456 -0.9238538 1.90068e-4 0 0 -1 0 0 -1 0.3826981 -0.9238734 1.90077e-4 0 0 -1 0 0 -1 -0.3826981 -0.9238734 2.76903e-4 0 0 -1 -0.3826374 -0.9238986 0 0 0 -1 0.3826374 -0.9238986 -9.64338e-5 0.3826901 -0.9238767 0 0 0 -1 -0.9238538 -0.3827456 2.76882e-4 0 0 -1 0 0 -1 -0.3826901 -0.9238767 -9.64143e-5 0 0 -1 -0.9238538 0.3827456 1.90068e-4 0 0 -1 -0.9238734 -0.3826981 1.90077e-4 0 0 -1 -0.3826374 0.9238986 -9.64338e-5 -0.9238734 0.3826981 2.76903e-4 0 0 -1 0.3826374 0.9238986 0 0 0 -1 -0.3826901 0.9238767 0 0 0 -1 0.9238538 0.3827456 2.76882e-4 0 0 -1 0.3826901 0.9238767 -9.64143e-5 0 0 -1 0.9238538 -0.3827456 1.90068e-4 0 0 -1 0.9238734 0.3826981 1.90077e-4 0.9238734 -0.3826981 2.76903e-4 0 0 -1 0.8659034 -0.5002114 0 0 0 -1 0.8659036 0.5002108 0 0.8659036 0.5002108 0 0 0 -1 0 -1 0 0.8659034 -0.5002114 0 -0.8659029 -0.5002121 0 0 -1 0 -0.8659032 0.5002117 0 -0.8659029 -0.5002121 0 0 1 0 -0.8659032 0.5002117 0 0 0 -1 0 0 -1 0 0 -1 0 1 0 0 0 -1 0.5002114 0.8659034 0 -0.5002108 0.8659036 0 -0.5002108 0.8659036 0 0 0 -1 1 0 0 0 0 -1 0.5002114 0.8659034 0 0 0 -1 0.5002121 -0.8659029 0 1 0 0 -0.5002117 -0.8659032 0 0.5002121 -0.8659029 0 -1 0 0 -0.5002117 -0.8659032 0 -1 0 0 0 0 -1 -0.8659034 0.5002114 0 0 0 -1 -0.8659036 -0.5002108 0 -0.8659036 -0.5002108 0 0 0 -1 0 1 0 -0.8659034 0.5002114 0 0.8659029 0.5002121 0 0 1 0 0.8659032 -0.5002117 0 0.8659029 0.5002121 0 0 -1 0 0.8659032 -0.5002117 0 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 0 -1 -0.5002114 -0.8659034 0 0.5002108 -0.8659036 0 0.5002108 -0.8659036 0 0 0 -1 -1 0 0 0 0 -1 -0.5002114 -0.8659034 0 0 0 -1 -0.5002121 0.8659029 0 -1 0 0 0.5002117 0.8659032 0 -0.5002121 0.8659029 0 1 0 0 0.5002117 0.8659032 0 1 0 0 0 0 -1 0 -0.7071068 -0.7071068 -0.500002 -0.500002 -0.7071038 -0.500002 -0.500002 -0.7071039 0.500002 -0.500002 -0.7071038 0 -0.7071068 -0.7071068 0.7071068 0 -0.7071068 0 0 -1 0.500002 -0.500002 -0.7071039 0 0 -1 0.500002 0.500002 -0.7071038 0.7071068 0 -0.7071068 0 0.7071068 -0.7071068 0.500002 0.500002 -0.7071039 -0.500002 0.500002 -0.7071038 0 0.7071068 -0.7071068 -0.7071068 0 -0.7071068 0 0 -1 -0.500002 0.500002 -0.7071039 -0.7071068 0 -0.7071068 -0.698074 0.1593282 -0.698074 -0.6980706 -0.1593275 -0.6980776 -0.6980739 -0.1593285 -0.6980739 -0.5598228 0.4464361 -0.698064 -0.6980705 0.1593278 -0.6980776 -0.3106736 0.6451074 -0.698082 -0.5597949 0.4464176 -0.6980981 0 0.7160002 -0.6981001 -0.3106661 0.6450948 -0.6980969 0.3106676 0.6450943 -0.6980968 0 0.7160002 -0.6981 0.559797 0.4464154 -0.6980978 0.3106727 0.6451079 -0.6980818 0.6980706 0.1593275 -0.6980776 0.5598213 0.4464386 -0.6980637 0.698074 -0.1593282 -0.698074 0.6980739 0.1593285 -0.6980739 0.5598228 -0.4464361 -0.698064 0.6980704 -0.1593278 -0.6980776 0.3106736 -0.6451074 -0.698082 0.5597949 -0.4464176 -0.6980981 0 -0.7160002 -0.6981001 0.3106661 -0.6450948 -0.6980969 -0.3106676 -0.6450943 -0.6980968 0 -0.7160002 -0.6981 -0.559797 -0.4464154 -0.6980978 -0.3106727 -0.6451079 -0.6980818 -0.5598213 -0.4464386 -0.6980637 0 0 1 0.4072511 -0.6167733 0.6736001 0 0 1 0 0 1 0.2366501 0.9559904 0.1734333 0.06995946 0.6209034 0.780759 0.02160137 0.7073206 0.7065628 0.2625702 -0.6338722 0.7275046 0.09011799 -0.7042297 0.7042297 0 0 1 0.6700512 -0.2289047 0.7061402 0 0 1 0.7024136 0.1150203 0.702414 0.678597 -0.2810899 0.6785975 0 0 1 0.5960971 0.3153368 0.7383975 0.1069775 0.3439052 0.9328907 0.6489903 0.2688261 0.7117191 0.4247431 0.6013529 0.6767334 0.4290539 0.6074562 0.6685131 0.1341851 0.4452971 0.8852711 0.244576 0.3396292 0.9082041 0 0 1 0.3140561 0.2261587 0.9220743 0 0 1 0.2254226 0.3147873 0.9220051 0 0 1 0.3438583 0.1069639 0.9329095 0 0 1 0 0 1 0 0 1 0.3395999 0.2431937 0.9085862 0.3274089 0.6189177 0.7139638 0.6013529 0.4247431 0.6767334 0.6075732 0.4291365 0.6683537 0.4454364 0.1342211 0.8851955 0.1049815 0.6411075 0.7602368 0 0 1 -0.2348098 0.6873368 0.6873372 0.2810899 0.678597 0.6785975 0 0 1 -0.6167916 0.4072335 0.6735941 -0.2695282 0.6506852 0.7099037 0.9562016 0.2367466 0.1721327 0.621135 0.06998336 0.7805727 0.7071263 0.02186089 0.7067492 -0.6347607 0.0916633 0.7672527 0.6508252 0.4496845 0.6117275 0.6284492 0.219907 0.7461183 0.5463784 0.7910986 0.2750157 0.4282091 0.4282091 0.795785 0.846219 0.5317322 0.03427231 0.2197978 0.6281336 0.7464163 0.4087023 0.6504599 0.6402065 0 0 1 -0.6167938 -0.4072314 0.6735934 0.8816278 -0.2301574 0.4120194 0.7071264 -0.02186125 0.7067493 0.5301609 -0.1149818 0.8400647 -0.6338725 -0.2625703 0.7275044 -0.7042353 -0.09002697 0.7042356 0 0 1 -0.2289047 -0.6700512 0.7061402 0 0 1 0.1150203 -0.7024136 0.702414 -0.2810899 -0.678597 0.6785975 0 0 1 0.3153368 -0.5960971 0.7383975 0 0 1 0.3439052 -0.1069775 0.9328907 0.2688261 -0.6489903 0.7117191 0.6014311 -0.4246718 0.6767085 0.7292109 -0.5148974 0.450702 0.4699366 -0.1874298 0.8625715 0.4339755 -0.131157 0.8913266 0 0 1 0.3396292 -0.244576 0.9082041 0 0 1 0 0 1 0 0 1 0.2261587 -0.3140561 0.9220743 0 0 1 0 0 1 0 0 1 0 0 1 0.3147873 -0.2254226 0.9220051 0 0 1 0.1069639 -0.3438583 0.9329095 0 0 1 0.2431937 -0.3395999 0.9085862 0.6189177 -0.3274089 0.7139638 0.4246717 -0.6014311 0.6767086 0.4219342 -0.5975542 0.6818362 0.1311565 -0.433978 0.8913255 0.6411075 -0.1049815 0.7602368 0.6873368 0.2348098 0.6873372 0.678597 -0.2810899 0.6785975 0.4072489 0.6167755 0.6735994 0.6506852 0.2695282 0.7099037 0.08045876 -0.6006113 0.7954826 0.02160179 -0.7073206 0.7065628 0.091735 0.6347849 0.7672241 0.198924 -0.7023112 0.6835116 0.07542908 -0.6694586 0.7390099 0.2738755 -0.4558333 0.8468814 0.2002952 -0.5724006 0.7951348 0.5301691 -0.8370473 0.1351766 0.7359807 -0.550929 0.3934584 0.4360351 -0.3126462 0.8438755 0 0 1 -0.2737596 0.4556589 0.8470127 0 0 1 0 0 1 -0.1989409 0.7022892 0.6835294 -0.2003077 0.5724363 0.7951059 -0.5301711 0.8370552 0.1351188 0 0 1 -0.7357595 0.5507611 0.3941068 0 0 1 -0.8814222 0.2300812 0.4125016 0 0 1 0 0 1 0 0 1 -0.4359549 0.3125929 0.8439366 0.616793 0.4072321 0.6735936 -0.7071263 0.02186113 0.7067492 -0.5301599 0.1149816 0.8400654 0.633872 0.2625702 0.7275048 0.7042353 0.09002643 0.7042357 0.2289047 0.6700512 0.7061402 -0.1150203 0.7024136 0.702414 0.2810899 0.678597 0.6785975 0 0 1 -0.3153368 0.5960971 0.7383975 -0.3439052 0.1069775 0.9328907 -0.2688261 0.6489903 0.7117191 -0.6013529 0.4247431 0.6767334 -0.7293528 0.515151 0.450182 -0.4699369 0.18743 0.8625713 -0.4339755 0.131157 0.8913266 -0.3396292 0.244576 0.9082041 0 0 1 -0.2261587 0.3140561 0.9220743 0 0 1 0 0 1 0 0 1 -0.3147873 0.2254226 0.9220051 0 0 1 -0.1069639 0.3438583 0.9329095 0 0 1 -0.2431937 0.3395999 0.9085862 -0.6189177 0.3274089 0.7139638 -0.4246717 0.6014311 0.6767086 -0.4219342 0.5975542 0.6818362 -0.1311565 0.433978 0.8913255 -0.6411075 0.1049815 0.7602368 -0.6873368 -0.2348098 0.6873372 -0.678597 0.2810899 0.6785975 -0.4072489 -0.6167755 0.6735994 -0.6506852 -0.2695282 0.7099037 -0.08042842 0.6006708 0.7954407 -0.02160179 0.7073206 0.7065628 -0.091735 -0.6347849 0.7672241 -0.07540988 0.6692883 0.7391662 0 0 1 -0.4072511 0.6167733 0.6736001 0 0 1 0 0 1 -0.2367156 -0.9560469 0.1730322 -0.06995946 -0.6209034 0.780759 -0.02160137 -0.7073206 0.7065628 -0.2625702 0.6338722 0.7275046 -0.09011799 0.7042297 0.7042297 0 0 1 -0.6700512 0.2289047 0.7061402 0 0 1 -0.7024136 -0.1150203 0.702414 -0.678597 0.2810899 0.6785975 0 0 1 -0.5960971 -0.3153368 0.7383975 -0.1069775 -0.3439052 0.9328907 -0.6489903 -0.2688261 0.7117191 -0.4247431 -0.6013529 0.6767334 -0.4290539 -0.6074562 0.6685131 -0.1341851 -0.4452971 0.8852711 -0.244576 -0.3396292 0.9082041 0 0 1 -0.3140561 -0.2261587 0.9220743 0 0 1 -0.2254226 -0.3147873 0.9220051 0 0 1 -0.3438583 -0.1069639 0.9329095 0 0 1 0 0 1 0 0 1 -0.3395999 -0.2431937 0.9085862 -0.3274089 -0.6189177 0.7139638 -0.6014311 -0.4246717 0.6767086 -0.6074928 -0.4289519 0.6685451 -0.4454364 -0.1342211 0.8851955 -0.1049815 -0.6411075 0.7602368 0 0 1 0.2348098 -0.6873368 0.6873372 -0.2810899 -0.678597 0.6785975 0 0 1 0.6167916 -0.4072335 0.6735941 0.2695282 -0.6506852 0.7099037 -0.9561513 -0.236688 0.1724919 -0.621135 -0.06998342 0.7805727 -0.7071263 -0.02186089 0.7067492 0.6347607 -0.0916633 0.7672527 -0.6510391 -0.4497408 0.6114583 -0.6283104 -0.2198584 0.7462496 -0.5465294 -0.7911501 0.2745672 -0.4282097 -0.4282097 0.7957845 -0.8461799 -0.5317077 0.03558868 -0.2198525 -0.62829 0.7462684 -0.4085936 -0.6502871 0.6404514 -1 0 0 -1 0 0 -0.7071068 -0.7071068 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.7071068 -0.7071068 0 -1 0 0 -0.7071068 0.7071068 0 -1 0 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.7071068 0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0.009846985 -0.9238325 -0.3826703 0.06480008 -0.8483158 -0.5255104 0 -0.9810243 -0.1938846 0 -0.9238773 0.3826889 0 -1 0 0.04210793 -0.3823536 0.9230562 -0.004911839 -0.593322 0.8049504 0.005447268 -0.84799 0.5299844 0.07170188 -0.9788934 0.1913807 0 0 1 0 -0.2156442 0.976472 0 0.3826929 0.9238756 0 0 1 0 0 1 0.009846985 0.9238325 0.3826703 -0.004931271 0.5927464 0.805374 0.06706541 0.2563413 0.9642569 0 1 0 0.06480008 0.8483158 0.5255104 0 0.9810243 0.1938846 0 0.9238773 -0.3826889 0 1 0 0.04210793 0.3823536 -0.9230562 -0.004911839 0.593322 -0.8049504 0.005447268 0.84799 -0.5299844 0.07170188 0.9788934 -0.1913807 0 0 -1 0 0.2156442 -0.976472 0 -0.3826929 -0.9238756 0 0 -1 0 0 -1 0.06647443 -0.257492 -0.9639912 -0.004886567 -0.594069 -0.8043991 0 -1 0 0 -1 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 1 0 0 1 0 0 0.7071068 0.7071068 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.7071068 0.7071068 0 1 0 0 1 0 0 1 0 0 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 -0.009846985 0.9238325 -0.3826703 -0.06480008 0.8483158 -0.5255104 0 0.9810243 -0.1938846 0 0.9238773 0.3826889 0 1 0 -0.04210793 0.3823536 0.9230562 0.004911839 0.593322 0.8049502 -0.005447268 0.84799 0.5299844 -0.07170188 0.9788934 0.1913807 0 0 1 0 0.2156442 0.976472 0 -0.3826929 0.9238756 0 0 1 0 0 1 -0.009846985 -0.9238325 0.3826703 0.004931271 -0.5927464 0.805374 -0.06706541 -0.2563413 0.9642569 0 -1 0 0 -0.9810243 0.1938846 -0.06480008 -0.8483158 0.5255104 0 -0.9238773 -0.3826889 0 -1 0 -0.04210793 -0.3823536 -0.9230562 -0.005447268 -0.84799 -0.5299844 0.004911839 -0.593322 -0.8049502 -0.07170188 -0.9788934 -0.1913807 0 0 -1 0 -0.2156442 -0.976472 0 0.3826929 -0.9238756 0 0 -1 0 0 -1 0.004886567 0.594069 -0.8043991 -0.06647443 0.257492 -0.9639912 0 1 0 0 1 0 0 0 1 0 0 1 0.2752161 -0.9613824 0 -0.07969594 -0.9968192 -1.68329e-4 0.01510649 -0.999886 0 -0.1582321 -0.8973439 -0.4119909 0 0 1 0.5782084 -0.8158891 -1.02348e-4 0 0 1 0 0 1 0 0 1 0.2752438 -0.9613745 1.22871e-4 0 0 1 0.8158891 -0.5782084 -1.6668e-4 0.5781977 -0.8158968 -1.58816e-4 0 0 1 0.9613824 -0.2752161 1.32102e-4 0 0 1 0.8159005 -0.5781924 -8.31207e-5 0.9968248 0.07962709 0 0 0 1 0.9613739 -0.2752459 0 0.8964666 0.4431113 -3.19839e-4 0.9111253 -0.01373702 -0.4119005 0.9847991 0.1736975 1.4961e-4 0 0 1 0.6686315 0.7435939 -2.95627e-4 0 0 1 0.8964086 0.4432286 3.04896e-4 0.3456919 0.9383481 -3.01622e-4 0 0 1 0 0 1 0.6685428 0.7436736 2.73914e-4 -0.02649641 0.9996489 -2.72912e-4 0.345576 0.9383907 2.884e-4 0 0 1 -0.3948932 0.918727 -2.75242e-4 0 0 1 0.0621255 0.9090901 -0.4119415 -0.1211429 0.9926351 1.29325e-4 0 0 1 -0.7070544 0.7071591 -2.59288e-4 0 0 1 0 0 1 -0.3949955 0.918683 2.56462e-4 0 0 1 -0.9186697 0.3950266 -2.22602e-4 -0.707131 0.7070825 2.58584e-4 -0.9996449 0.02664297 -2.35068e-4 0 0 1 0 0 1 -0.9187066 0.3949407 2.23537e-4 -0.9383981 -0.345556 -1.9697e-4 -0.9045209 0.1103251 -0.4119106 -0.9976692 -0.0682348 1.23652e-4 0 0 1 -0.7436897 -0.6685252 -1.82835e-4 -0.9383693 -0.3456342 2.00929e-4 0 0 1 -0.4432344 -0.8964057 -1.82462e-4 0 0 1 0 0 1 0 0 1 -0.7436406 -0.6685796 1.66899e-4 -0.4431727 -0.8964362 1.4575e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9596605 -0.2190331 0.1762849 -0.9937125 -0.1119618 0 -0.9749286 0.2225179 0 -0.7695904 -0.6137225 0.1762822 -0.8467163 -0.5320447 2.13811e-5 -0.9438819 -0.3302832 1.34254e-6 -0.4270955 -0.8868585 0.1762707 -0.5320238 -0.8467293 8.98621e-6 -0.7071068 -0.7071068 0 0 -1 0 0.1054814 -0.9361827 0.3353142 -0.1119651 -0.9937121 -2.8774e-6 -0.3302849 -0.9438812 -8.49682e-6 0.4338892 -0.9009662 2.57533e-5 0.5012266 -0.7977148 0.3352952 0.3302844 -0.9438815 9.29615e-7 0.7818341 -0.6234864 1.32956e-5 0.7977051 -0.501231 0.3353122 0.7071157 -0.7070978 2.01858e-5 0.9749286 -0.2225179 0 0.9361868 -0.1054826 0.3353023 0.9438823 -0.3302822 -8.05661e-6 0.9937125 0.1119618 0 0.9596605 0.2190331 0.1762849 0.2098883 -0.02364861 -0.9774393 0.5110426 -0.1788234 0.8407483 0.831591 -0.5225229 0.1882189 0.4043126 -0.4043024 0.8204089 0.6713747 -0.444102 -0.5933207 0.5312689 -0.8455279 0.05325347 -0.9361868 0.1054826 0.3353023 -0.2098883 0.02364861 -0.9774393 0.7695904 0.6137225 0.1762822 0.8467163 0.5320447 2.13811e-5 0.9438819 0.3302832 1.34254e-6 0.4270955 0.8868585 0.1762707 0.5320238 0.8467293 8.98621e-6 0.7071068 0.7071068 0 0 1 0 -0.1054814 0.9361827 0.3353142 0.1119651 0.9937121 -2.8774e-6 0.3302849 0.9438812 -8.49682e-6 -0.4338892 0.9009662 2.57533e-5 -0.5012266 0.7977148 0.3352952 -0.3302844 0.9438815 9.29615e-7 -0.7818341 0.6234864 1.32956e-5 -0.7977051 0.501231 0.3353122 -0.7071157 0.7070978 2.01858e-5 -0.9438823 0.3302822 -8.05661e-6 -0.5110426 0.1788234 0.8407483 -0.831591 0.5225229 0.1882189 -0.4043126 0.4043024 0.8204089 -0.6713747 0.444102 -0.5933207 -0.5312689 0.8455279 0.05325347 0.2810963 0.6785959 0.6785959 0.2609944 -0.6300678 0.7313663 -0.2609891 -0.6300551 0.7313791 -1.17713e-4 -0.7418527 0.6705629 -1.58642e-4 -0.9997963 0.02018201 0.199043 -0.9799712 -0.006191134 0.5658333 -0.8244608 0.009858965 0.5267438 -0.8500241 0 0.5415746 -0.8267468 0.1522716 0.5465313 0.7631936 0.3447304 -0.199043 -0.9799712 -0.006174862 -0.5279617 -0.84923 0.008050501 -0.5414128 -0.8277695 0.1472076 0.5380737 0.7533356 0.3781036 -0.6785958 0.2810962 0.6785962 0.6300551 0.2609891 0.731379 0.6300678 -0.2609944 0.7313663 0.7418527 1.17713e-4 0.6705629 0.8628519 1.36912e-4 0.5054568 0.272551 0.9137565 0.3012722 0.8277809 0.5414096 0.1471544 0.7293254 0.5342553 0.4273826 0.6034708 0.5278776 0.5976354 0.9088658 0.2323365 -0.346385 0.9087813 -0.2323149 -0.3466213 -0.2810963 -0.6785959 0.6785959 -0.2609944 0.6300678 0.7313663 0.2609891 0.6300551 0.7313791 1.17713e-4 0.7418527 0.6705629 1.58642e-4 0.9997963 0.02018201 -0.199043 0.9799712 -0.006191134 -0.5658333 0.8244608 0.009858965 -0.5267438 0.8500241 0 -0.5415746 0.8267468 0.1522716 -0.7533356 0.5380737 0.3781036 0.199043 0.9799712 -0.006174862 0.5279617 0.84923 0.008050501 0.5414128 0.8277695 0.1472076 -0.5389862 0.7526496 0.3781699 0.6785958 -0.2810962 0.6785962 -0.6300678 -0.2609944 0.7313663 -0.6300551 0.2609891 0.7313791 -0.7418527 1.17713e-4 0.6705629 -0.8628519 1.36912e-4 0.5054568 -0.8278458 -0.5412881 0.1472362 -0.7292426 -0.5340784 0.4277447 -0.7631936 0.5465313 0.3447304 -0.6025079 -0.5275271 0.5989152 -0.9087813 -0.2323149 -0.3466214 -0.9088658 0.2323365 -0.346385 0.5658608 0.8245008 0 0.2858512 0.958274 -1.77811e-5 0.2858312 0.95828 0 -0.2858512 0.958274 0 -0.5811986 0.8137618 -1.99369e-5 -0.2858312 0.95828 -1.77732e-5 -0.8137629 0.5811969 5.81517e-6 -0.5812216 0.8137454 4.17214e-6 -0.9582188 0.2858348 -0.0107333 -0.9562304 0.2926149 -1.78486e-5 -0.8137454 0.5812216 -1.99428e-5 -0.8245008 0.5658608 0 -0.9916015 0.1293302 0 -0.9903017 0.1389329 -5.16998e-4 -0.979605 0.1989686 0.0280286 -0.7163392 0.694476 -0.06753706 -0.8338907 0.5517221 -0.01513671 -0.9799899 -0.1990468 -3.56518e-5 -0.9688447 0.2476691 -3.52433e-5 -0.8243811 -0.5657786 -0.01703947 -0.9685989 -0.2476063 0.02252513 -0.9582741 -0.2858513 0 -0.7437226 -0.6684884 0 -0.8332437 -0.5524483 -0.0224927 -0.8137629 -0.5811969 -1.99368e-5 -0.9660241 -0.2470896 -0.07579088 -0.9611065 -0.2747447 -0.02809852 -0.956227 -0.2926262 0 -0.9422237 -0.3325762 0.04009556 -0.9293306 -0.3626545 0.06947183 -0.95828 -0.2858312 -1.77732e-5 -0.5811986 -0.8137618 4.15326e-6 -0.8137454 -0.5812216 5.79928e-6 -0.2858512 -0.958274 -1.77811e-5 -0.5812216 -0.8137454 -1.99428e-5 -0.5658608 -0.8245008 0 -0.2858312 -0.95828 0 0.2858512 -0.958274 0 0.5811986 -0.8137618 -1.99369e-5 0.2858312 -0.95828 -1.77732e-5 0.8137629 -0.5811969 5.81517e-6 0.5812216 -0.8137454 4.17214e-6 0.9582188 -0.2858348 -0.0107333 0.9562304 -0.2926149 -1.78486e-5 0.8137454 -0.5812216 -1.99428e-5 0.8245008 -0.5658608 0 0.9916015 -0.1293302 0 0.9903017 -0.1389329 -5.16998e-4 0.979605 -0.1989686 0.0280286 0.8338907 -0.5517222 -0.01513671 0.7163392 -0.694476 -0.06753706 0.9799899 0.1990468 -3.56518e-5 0.9688447 -0.2476691 -3.52433e-5 0.8243811 0.5657786 -0.01703947 0.9685989 0.2476063 0.02252513 0.9582741 0.2858513 0 0.8332437 0.5524483 -0.0224927 0.7437226 0.6684884 0 0.8137629 0.5811969 -1.99368e-5 0.9660241 0.2470896 -0.07579088 0.9293304 0.3626548 0.06947207 0.95828 0.2858312 -1.77732e-5 0.9611065 0.2747447 -0.02809852 0.956227 0.2926262 0 0.9422237 0.3325762 0.04009556 0.5811986 0.8137618 4.15326e-6 0.8137454 0.5812216 5.79928e-6 0.5812216 0.8137454 -1.99428e-5 0.2641342 0.8729801 0.4100474 0.873007 0.2641421 0.4099851 0.9137868 0.27256 0.3011723 0.7438892 0.668303 0 0.9916015 0.1293302 0 0.7851461 -0.5695779 0.2431595 -0.271658 0.9107629 0.3109869 0.7437226 -0.6684884 0 0.7513998 -0.6565444 0.06593877 0.95828 -0.2858312 0 0.9553254 -0.2792596 0.09678596 -0.5455542 0.7638088 0.3449156 0.9107651 -0.2716587 0.3109799 0.8730288 -0.2639225 0.4100801 0.9573477 -0.2873047 0.03068149 0.9562333 -0.2926052 0 0.271658 -0.9107629 0.3109869 0.5455542 -0.7638088 0.3449156 0.7526496 0.5389862 0.3781699 0.2639281 -0.8730561 0.4100183 0.7533356 -0.5380737 0.3781036 0.5389862 -0.7526496 0.3781699 0.7631936 -0.5465313 0.3447304 0.7638088 0.5455542 0.3449156 -0.272551 -0.9137565 0.3012722 -0.2641342 -0.8729801 0.4100474 -0.9916015 -0.1293302 0 -0.7438892 -0.668303 0 -0.9137868 -0.27256 0.3011723 -0.7638088 -0.5455542 0.3449156 -0.2639281 0.8730561 0.4100183 -0.873007 -0.2641421 0.4099851 -0.5380737 -0.7533356 0.3781036 -0.7526496 -0.5389862 0.3781699 -0.5465313 -0.7631936 0.3447304 -0.7437226 0.6684884 0 -0.95828 0.2858312 0 -0.9553254 0.2792596 0.09678596 -0.9562333 0.2926052 0 -0.7513998 0.6565444 0.06593877 -0.9107651 0.2716587 0.3109799 -0.9573477 0.2873047 0.03068149 -0.7851462 0.569578 0.2431595 -0.8730288 0.2639225 0.4100801 0 -1 0 0 0 -1 0 -1 0 -0.7071068 0 -0.7071068 -0.7071068 0 -0.7071068 0 -1 0 0.7071068 0 -0.7071068 0 -1 0 0 0 -1 0 -1 0 1 0 0 0 -1 0 0.7071068 0 -0.7071068 0 -1 0 0.7071068 0 0.7071068 1 0 0 0 -1 0 0 0 1 0.7071068 0 0.7071068 0 -1 0 -0.7071068 0 0.7071068 0 -1 0 0 0 1 0 -1 0 -1 0 0 0 -1 0 -0.7071068 0 0.7071068 -1 0 0 -0.7071068 -0.7071068 0 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 -0.7071068 -0.7071068 5.13657e-6 0 -0.7071068 0.7071068 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 -5.13657e-6 0 -0.7071068 0.7071068 0.7071068 -0.7071068 0 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0.7071068 -0.7071068 -5.13657e-6 0 -0.7071068 -0.7071068 0.7071068 -0.7071068 0 0.7071068 -0.7071068 5.13657e-6 0 1 0 0.9659257 0 -0.2588196 0 1 0 0.9658273 0.01427024 0.2587933 0.9238784 0 0.382686 0 1 0 0.7071068 -4.13332e-6 -0.7071068 0.9659256 0 -0.2588196 0.9659257 0 -0.2588196 0.965857 1.1436e-5 -0.2590757 0 1 0 0.2588198 3.46306e-6 -0.9659256 0.7067781 1.58935e-5 -0.7074352 0 1 0 -0.2588198 0 -0.9659257 0 1 0 0 1 0 0 1 0 0 1 0 0.2588974 0 -0.9659048 0 1 0 -0.7070983 -0.004867315 -0.7070985 0 1 0 -0.3826684 0.009651899 -0.9238354 0 1 0 -0.9658273 0.01427024 -0.2587933 0 1 0 0 1 0 -0.9659257 0 0.2588196 0 1 0 -0.9238784 0 -0.3826861 0 1 0 -0.7071067 -4.12663e-6 0.707107 0 1 0 -0.9659256 0 0.2588196 -0.9658569 1.14448e-5 0.2590759 -0.9659257 0 0.2588196 0 1 0 -0.2588198 3.46306e-6 0.9659256 0 1 0 -0.7067781 1.58935e-5 0.7074352 0 1 0 0.2588198 0 0.9659257 0 1 0 -0.2588974 0 0.9659048 0 1 0 0.7070984 -0.004867374 0.7070984 0 1 0 0 1 0 0 1 0 0.3826683 0.009651899 0.9238354 0 1 0 0 1 0 0.9659257 0 -0.2588196 0.9658273 0.01427024 0.2587933 0.9238784 0 0.3826861 0.7071067 -4.12663e-6 -0.707107 0.9659256 0 -0.2588196 0.9659257 0 -0.2588196 0.9658569 1.14448e-5 -0.2590759 0.2588198 3.46306e-6 -0.9659256 0.7067781 1.58935e-5 -0.7074352 0 1 0 -0.2588198 0 -0.9659257 0.2588974 0 -0.9659048 0 1 0 -0.7070984 -0.004867374 -0.7070984 0 1 0 0 1 0 0 1 0 -0.3826684 0.009651899 -0.9238354 0 1 0 -0.9658273 0.01427024 -0.2587933 0 1 0 0 1 0 0 1 0 -0.9659257 0 0.2588196 -0.9238784 0 -0.382686 0 1 0 -0.7071068 -4.13332e-6 0.7071068 -0.9659256 0 0.2588196 -0.965857 1.1436e-5 0.2590757 -0.9659257 0 0.2588196 0 1 0 -0.2588198 3.46306e-6 0.9659256 -0.7067781 1.58935e-5 0.7074352 0.2588198 0 0.9659257 0 1 0 0 1 0 -0.2588974 0 0.9659048 0.7070983 -0.004867315 0.7070985 0.3826683 0.009651899 0.9238354 0.8660253 0 -0.5000002 0.8660253 3.57432e-5 0.5000002 0.8659002 0 0.5002168 0 -5.71682e-6 -1 0.8659002 3.5737e-5 -0.5002168 0 1 0 -0.8656616 -0.02897888 -0.4997902 -0.571488 0.01179951 -0.8205255 0.2149564 -0.03070402 -0.9761409 0 1 0 -0.8660253 0 0.5000002 -0.9513782 0 -0.3080251 0 1 0 0 -0.02043974 0.9997911 -0.9459394 -0.04585933 0.3210848 -0.5715079 0.01180082 0.8205116 0 1 0 0 1 0 0.135045 0 0.9908395 0.1350476 3.56928e-7 0.9908392 0 1 0 0.8660253 0 -0.5000002 0 1 0 0.8656616 -0.02897888 0.4997902 0.9513782 0 0.3080251 0 1 0 0 -0.02043974 -0.9997911 0.5715079 0.01180082 -0.8205116 0.9459394 -0.04585933 -0.3210848 -0.8660253 3.57432e-5 -0.5000002 0 1 0 0 1 0 -0.135045 0 -0.9908395 -0.1350476 3.56928e-7 -0.9908392 -0.8660253 0 0.5000002 -0.8659002 0 -0.5002168 0 -5.71682e-6 1 -0.8659002 3.5737e-5 0.5002168 0.571488 0.01179951 0.8205255 -0.2149564 -0.03070402 0.9761409 0 1 0 -0.6785835 0.6785832 0.2811573 0 1 0 -0.6993699 0.6533876 -0.2897697 0 1 0 -0.6947468 0.6947466 -0.1861554 0 1 0 -0.2896102 0.6534203 0.6994054 0 1 0 -0.4924256 0.717669 0.4924107 -0.7630737 0.6131178 0.2044631 0 1 0 0.2810167 0.6785777 0.6786472 0 1 0 0 1 0 -0.1861491 0.6947121 0.6947832 0 1 0 0.6993699 0.653385 0.2897751 0.4924272 0.7176667 0.4924125 0.2044219 0.6132424 0.7629845 0 1 0 0.6785823 0.6785823 -0.281162 0 1 0 0.6947468 0.6947468 0.1861549 0 1 0 0.2896122 0.6534196 -0.6994052 0 1 0 0.7630772 0.6131131 -0.2044641 0.4924271 0.7176668 -0.4924123 0 1 0 -0.2810148 0.6785781 -0.6786475 0 1 0 0 1 0 0 1 0 0.18615 0.6947119 -0.694783 0 1 0 -0.4924255 0.7176691 -0.4924106 -0.2044225 0.6132445 -0.7629827 0 1 0 -0.6785835 0.6785832 0.2811573 0 1 0 -0.69937 0.6533874 -0.2897697 0 1 0 -0.694747 0.6947467 -0.1861553 0 1 0 -0.2896101 0.6534205 0.6994052 0 1 0 -0.4924255 0.7176691 0.4924106 -0.7630735 0.6131179 0.2044634 0 1 0 0.2810167 0.6785777 0.6786472 0 1 0 0 1 0 0 1 0 -0.18615 0.694712 0.694783 0 1 0 0.6993699 0.6533852 0.2897751 0 1 0 0.4924271 0.7176668 0.4924123 0.2044228 0.6132431 0.7629837 0 1 0 0.6785823 0.6785823 -0.281162 0.6947468 0.6947468 0.1861552 0 1 0 0.2896124 0.6534194 -0.6994054 0.7630774 0.6131129 -0.2044639 0.4924272 0.7176667 -0.4924125 0 1 0 -0.2810148 0.6785781 -0.6786475 0 1 0 0 1 0 0.1861491 0.6947121 -0.6947832 0 1 0 -0.4924256 0.717669 -0.4924107 -0.2044216 0.6132437 -0.7629836 0 1 0 -0.6785823 0.6785823 0.281162 0 1 0 -0.6993699 0.6533852 -0.2897751 -0.6947468 0.6947468 -0.1861552 0 1 0 -0.2896124 0.6534194 0.6994054 -0.4924272 0.7176667 0.4924125 -0.7630774 0.6131128 0.2044639 0.2810148 0.6785781 0.6786475 -0.1861491 0.6947121 0.6947832 0.69937 0.6533874 0.2897697 0.4924256 0.717669 0.4924107 0.2044216 0.6132437 0.7629836 0.6785835 0.6785832 -0.2811573 0.694747 0.6947467 0.1861553 0.2896101 0.6534205 -0.6994052 0.7630733 0.6131181 -0.2044634 0.4924255 0.7176691 -0.4924106 0 1 0 -0.2810167 0.6785777 -0.6786472 0.18615 0.694712 -0.694783 0 1 0 0 1 0 0 1 0 -0.4924271 0.7176668 -0.4924123 -0.2044228 0.6132431 -0.7629837 0 1 0 -0.6785823 0.6785823 0.281162 0 1 0 -0.6993699 0.653385 -0.2897751 0 1 0 -0.6947468 0.6947468 -0.1861549 0 1 0 -0.2896122 0.6534196 0.6994052 0 1 0 -0.4924271 0.7176668 0.4924123 -0.7630773 0.6131131 0.2044641 0.2810148 0.6785781 0.6786475 0 1 0 -0.18615 0.6947119 0.694783 0.6993699 0.6533876 0.2897697 0.4924255 0.7176691 0.4924106 0.2044225 0.6132445 0.7629827 0.6785835 0.6785832 -0.2811573 0.6947468 0.6947466 0.1861554 0.2896102 0.6534203 -0.6994054 0.7630736 0.6131178 -0.2044631 0.4924256 0.717669 -0.4924107 0 1 0 -0.2810167 0.6785777 -0.6786472 0 1 0 0.1861491 0.6947121 -0.6947832 -0.4924272 0.7176667 -0.4924125 -0.2044219 0.6132424 -0.7629845 0 1 0 -0.8659039 0 0.5002104 0 1 0 -0.8659038 -3.83746e-5 -0.5002107 0 1 0 -0.8660189 0 -0.5000113 0 1.33393e-5 1 -0.8660191 -3.83832e-5 0.5000109 0 1 0 0.8659008 -3.94244e-5 0.5002158 0 1.33393e-5 1 0 1 0 0.8659007 0 -0.5002161 0.8660191 0 0.5000109 0 1 0 0 1.33393e-5 -1 0.8660189 -3.94369e-5 -0.5000113 0 1 0 0 1.33393e-5 -1 0 1 0 -0.8659008 0 0.5002158 -0.8659007 -3.94244e-5 -0.5002161 -0.8660189 0 -0.5000113 0 1 0 0 1.33393e-5 1 -0.8660191 -3.94334e-5 0.5000109 0.8659039 -3.83746e-5 0.5002104 0 1.33393e-5 1 0.8659038 0 -0.5002107 0.8660191 0 0.5000109 0 1.33393e-5 -1 0.8660189 -3.83845e-5 -0.5000113 0 1.33393e-5 -1 0 1 0 -0.8659038 0 0.5002107 0 1 0 -0.8658999 -4.17105e-5 -0.5002173 0 1 0 -0.8660251 0 -0.5000005 0 1.33393e-5 1 -0.866019 -3.83832e-5 0.5000112 0.8659007 -3.94244e-5 0.5002161 0 1.33393e-5 1 0 1 0 0.8658968 0 -0.5002227 0.8660189 0 0.5000113 0 1 0 0 6.66963e-6 -1 0.8660251 -4.27725e-5 -0.5000005 0 1 0 0 6.66963e-6 -1 0 1 0 -0.8659007 0 0.5002161 0 1 0 -0.8658968 -4.27604e-5 -0.5002227 -0.8660251 0 -0.5000005 0 1 0 0 1.33393e-5 1 -0.866019 -3.94334e-5 0.5000112 0.8659038 -3.83746e-5 0.5002107 0 1.33393e-5 1 0.8658999 0 -0.5002173 0.8660189 0 0.5000113 0 6.66963e-6 -1 0.8660251 -4.17201e-5 -0.5000005 0 6.66963e-6 -1 0.7071093 0.7071042 0 0 0.7071043 -0.7071094 0 0.7071043 -0.7071094 5.13651e-6 0.7071042 -0.7071093 0.7071093 0.7071042 0 0 0.7071043 0.7071094 5.13651e-6 0.7071042 0.7071093 0.7071093 0.7071042 0 0.7071093 0.7071042 0 -0.7071093 0.7071042 0 -0.7071093 0.7071042 0 0 0.7071043 0.7071094 -5.13651e-6 0.7071042 0.7071093 -5.13651e-6 0.7071042 -0.7071093 -0.7071093 0.7071042 0 -0.7071093 0.7071042 0 0 0 -1 -0.9238777 0.3826876 0 0 0 -1 -0.9238777 -0.3826879 0 0 0 -1 0 0 -1 0 0 -1 -0.9238777 -0.3826879 0 0 0 -1 -0.3826875 0.9238779 0 -0.9238777 0.3826876 0 0 0 -1 0.3826876 0.9238778 0 0 0 -1 -0.3826875 0.9238779 0 0 0 -1 0.9238777 0.3826876 0 0.3826876 0.9238778 0 0 0 -1 0.9238777 -0.3826879 0 0.9238777 0.3826876 0 0 0 -1 0.3826882 -0.9238775 0 0 0 -1 0.9238777 -0.3826879 0 0 0 -1 -0.3826881 -0.9238776 0 0 0 -1 0.3826882 -0.9238775 0 -0.3826881 -0.9238776 0 0.9238777 -0.3826879 0 0 0 -1 0.9238777 0.3826876 0 0.9238777 0.3826876 0 0.3826881 -0.9238776 0 0.9238777 -0.3826879 0 0 0 -1 -0.3826882 -0.9238775 0 0.3826881 -0.9238776 0 0 0 -1 -0.9238777 -0.3826879 0 -0.3826882 -0.9238775 0 0 0 -1 -0.9238777 0.3826876 0 -0.9238777 -0.3826879 0 0 0 -1 -0.3826876 0.9238778 0 0 0 -1 -0.9238777 0.3826876 0 0 0 -1 0.3826875 0.9238779 0 0 0 -1 -0.3826876 0.9238778 0 0.3826875 0.9238779 0 -0.7071068 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 -5.13649e-6 -0.7071068 0.7071068 0 -0.7071068 0.7071068 -5.13649e-6 -0.7071068 0.7071068 0 -0.7071068 0.7071068 5.13649e-6 -0.7071068 -0.7071068 5.13649e-6 -0.7071068 -1 0 0 0 -0.5002193 -0.8658988 -1 0 0 8.25811e-5 0.5002183 -0.8658993 -1 0 0 0 0.4999582 -0.8660496 -1 0 0 -1.00044e-4 -1 0 -1 0 0 -1 0 0 8.26192e-5 -0.4999591 -0.866049 -1 0 0 8.25809e-5 -0.5002193 0.8658988 -1.00044e-4 -1 0 -1 0 0 0 0.5002183 0.8658993 0 -0.4999591 0.866049 -1 0 0 -1.00044e-4 1 0 -1 0 0 -1 0 0 8.26301e-5 0.4999582 0.8660496 -1 0 0 -1.00044e-4 1 0 -1 0 0 -1 0 0 -1 0 0 -0.7071068 0 0.7071068 -0.7071068 5.13649e-6 0.7071068 -1 0 0 -1 0 0 -1 0 0 -0.7071068 0 0.7071068 -0.7071068 -5.13649e-6 0.7071068 0 0.4999899 0.8660312 0.008650243 -0.4999721 0.8659984 0 -0.2398204 0.9708173 0.06180977 -0.6788096 0.7317084 0.03332197 0.9994447 0 0.02103781 0.4311328 0.9020432 -0.01180917 0.9471614 0.3205397 0.009218275 0.4999688 -0.8659943 -0.004710733 0.9486373 -0.316331 0 -0.4999908 -0.8660306 0 0.2382062 -0.9712147 0.06111109 0.6756114 -0.7347209 0.03335714 -0.9994435 0 0.02146172 -0.4297127 -0.9027106 -0.01195621 -0.9460088 -0.3239204 -0.004442572 -0.9500475 0.3120737 0 0 1 0.9238777 0.3826876 0 0 0 1 0.9238777 -0.3826879 0 0 0 1 0 0 1 0 0 1 0.9238777 -0.3826879 0 0 0 1 0.3826875 0.9238779 0 0.9238777 0.3826876 0 0 0 1 -0.3826876 0.9238778 0 0 0 1 0.3826875 0.9238779 0 0 0 1 -0.9238777 0.3826876 0 -0.3826876 0.9238778 0 0 0 1 -0.9238777 -0.3826879 0 -0.9238777 0.3826876 0 0 0 1 -0.3826882 -0.9238775 0 0 0 1 -0.9238777 -0.3826879 0 0 0 1 0.3826881 -0.9238776 0 0 0 1 -0.3826882 -0.9238775 0 0.3826881 -0.9238776 0 -0.9238777 -0.3826879 0 0 0 1 -0.9238777 0.3826876 0 -0.9238777 0.3826876 0 -0.3826881 -0.9238776 0 -0.9238777 -0.3826879 0 0 0 1 0.3826882 -0.9238775 0 -0.3826881 -0.9238776 0 0 0 1 0.9238777 -0.3826879 0 0.3826882 -0.9238775 0 0 0 1 0.9238777 0.3826876 0 0.9238777 -0.3826879 0 0 0 1 0.3826876 0.9238778 0 0 0 1 0.9238777 0.3826876 0 0 0 1 -0.3826875 0.9238779 0 0 0 1 0.3826876 0.9238778 0 -0.3826875 0.9238779 0 0.7071068 0 0.7071068 0.7071068 0 0.7071068 0.7071068 -5.13649e-6 0.7071068 0.7071068 5.13649e-6 0.7071068 1 0 0 0 0.5002183 -0.8658993 1 0 0 -8.25809e-5 -0.5002193 -0.8658988 0 -0.4999591 -0.866049 1 0 0 1.00044e-4 1 0 1 0 0 1 0 0 -8.263e-5 0.4999582 -0.8660496 1 0 0 -8.25811e-5 0.5002183 0.8658993 1 0 0 1.00044e-4 1 0 1 0 0 0 -0.5002193 0.8658988 1 0 0 0 0.4999582 0.8660496 1 0 0 1.00044e-4 -1 0 1 0 0 1 0 0 -8.26299e-5 -0.4999591 0.866049 1.00044e-4 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.4999899 -0.8660312 -0.008650243 -0.4999721 -0.8659984 0 -0.2398204 -0.9708173 -0.06180977 -0.6788096 -0.7317084 -0.03332197 0.9994447 0 -0.02103781 0.4311328 -0.9020432 0.01180917 0.9471614 -0.3205397 -0.009218275 0.4999688 0.8659943 0.004710733 0.9486373 0.316331 0 -0.4999908 0.8660306 0 0.2382062 0.9712147 -0.06111109 0.6756114 0.7347209 -0.03335714 -0.9994435 0 -0.02146172 -0.4297127 0.9027106 0.01195621 -0.9460088 0.3239204 0.004442572 -0.9500475 -0.3120737 0.965857 0 0.2590757 0.9238784 0 0.382686 0.9229452 -0.04493737 0.3822994 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2586179 9.9789e-5 -0.9659797 0 -1 0 0.2588974 0 -0.9659049 -0.2580461 -0.06645995 -0.963844 0 -1 0 -0.3826862 9.54421e-5 -0.9238784 0 -1 0 0 -1 0 0 -1 0 -0.7065952 0.02275574 -0.7072521 0 -1 0 0 -1 0 -0.965857 0 -0.2590759 0 -1 0 -0.922945 -0.04493737 -0.3822996 0 -1 0 0 -1 0 0 -1 0 -0.9238784 0 -0.3826861 -0.3826861 0 -0.9238784 -0.9238784 0 -0.3826861 -0.3826861 0 -0.9238784 0.9238784 0 0.382686 0.3826861 0 0.9238784 0.3826861 0 0.9238784 -0.2588974 0 0.9659049 0.3826862 9.54398e-5 0.9238784 -0.2586179 9.97839e-5 0.9659797 0.2580461 -0.06645995 0.963844 0.7065952 0.02275574 0.7072521 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.965857 0 0.2590759 0.9238784 0 0.3826861 0.922945 -0.04493737 0.3822996 0.2586179 9.9789e-5 -0.9659797 0.2588974 0 -0.9659049 -0.2580461 -0.06645995 -0.963844 0 -1 0 -0.3826862 9.54421e-5 -0.9238784 -0.7065952 0.02275574 -0.7072521 0 -1 0 -0.965857 0 -0.2590757 0 -1 0 -0.9229452 -0.04493737 -0.3822994 0 -1 0 -0.9238784 0 -0.382686 -0.3826861 0 -0.9238784 -0.9238784 0 -0.382686 -0.3826861 0 -0.9238784 0.9238784 0 0.3826861 0.3826861 0 0.9238784 0.3826861 0 0.9238784 -0.2588974 0 0.9659049 0.3826862 9.54398e-5 0.9238784 -0.2586179 9.97839e-5 0.9659797 0.2580461 -0.06645995 0.963844 0.7065952 0.02275574 0.7072521 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.1350481 0 -0.9908391 1 0 0 0 0.06796246 -0.9976879 -0.5927285 -0.04388219 -0.804206 0.006212055 0.5679048 -0.8230707 -0.02918565 0.1259538 -0.9916068 0.006097018 -0.5676385 -0.8232554 -0.009742677 -0.3851398 -0.9228067 0 -0.1260075 -0.9920293 -0.008781135 -0.950509 -0.310573 0 -0.9513761 0.3080317 0 -0.9254682 -0.3788255 0 1 0 0 1 0 0 1 0 0 1 0 -0.8659002 0 -0.5002168 -0.9129394 0.1950963 -0.3584399 -0.9513993 0 0.3079598 -0.8578697 0.1358761 0.4955777 0 0.9514651 -0.3077567 -0.008780121 0.9505167 0.3105496 0 0.9254775 0.3788026 -0.007334053 0.9242779 -0.3816498 1 0 0 0.006206631 -0.567753 0.8231756 -0.02915197 -0.125954 0.9916077 -0.5925647 -0.04384654 0.8043287 0.006099402 0.5677154 0.8232023 0 0.06796252 0.9976879 -0.009744942 0.3851988 0.9227821 0 0.1260075 0.9920293 -0.007333159 -0.9241912 0.3818597 -1 0 0 -0.006206631 -0.567753 -0.8231756 0.02915197 -0.125954 -0.9916077 0.5925647 -0.04384654 -0.8043287 -0.006099402 0.5677154 -0.8232023 0 0.06796252 -0.9976879 0.009744942 0.3851988 -0.9227821 0 0.1260075 -0.9920293 0.9513993 0 -0.3079598 0.008780121 0.9505167 -0.3105496 0.8578697 0.1358761 -0.4955777 0.8659002 0 0.5002168 0.9129394 0.1950963 0.3584399 0 0.9514651 0.3077567 0 0.9254775 -0.3788026 0 1 0 0 1 0 0 1 0 0 1 0 0 -0.9513761 -0.3080317 0.008781135 -0.950509 0.310573 0 -0.9254682 0.3788255 0.007333159 -0.9241912 -0.3818597 -0.1350481 0 0.9908391 -1 0 0 0 0.06796246 0.9976879 0.5927285 -0.04388219 0.804206 -0.006212055 0.5679048 0.8230707 0.02918565 0.1259538 0.9916068 -0.006097018 -0.5676385 0.8232554 0.009742677 -0.3851399 0.9228067 0 -0.1260075 0.9920293 0.007334053 0.9242779 0.3816498 -0.9659264 0 0.258817 0 -1 0 -0.9659264 0 0.258817 -0.9659263 0 -0.2588173 0 -1 0 0 -1 0 -0.7071176 0 0.707096 0 -1 0 -0.7071176 0 0.707096 0 -1 0 -0.2587964 0 0.9659319 0 -1 0 -0.2587964 0 0.9659319 0 -1 0 0.2587965 0 0.9659318 0 -1 0 0.2587965 0 0.9659318 0 -1 0 0 -1 0 0.7071174 0 0.7070962 0 -1 0 0.7071174 0 0.7070962 0.9659265 0 0.2588167 0 -1 0 0.9659265 0 0.2588167 0 -1 0 0.9659264 0 -0.258817 0.9659264 0 -0.258817 0 -1 0 -0.9659263 0 -0.2588173 0.7071174 0 -0.7070962 0 -1 0 0.7071174 0 -0.7070962 0.2587978 0 -0.9659316 0.2587978 0 -0.9659316 -0.2587977 0 -0.9659315 0 -1 0 -0.2587977 0 -0.9659315 -0.7071176 0 -0.707096 0 -1 0 -0.7071176 0 -0.707096 0 -1 0 0 -1 0 -0.9659263 0 0.2588173 0 -1 0 -0.9659263 0 0.2588173 -0.9659264 0 -0.258817 0 -1 0 0 -1 0 -0.7071176 0 0.707096 0 -1 0 -0.7071176 0 0.707096 0 -1 0 -0.2587977 0 0.9659315 0 -1 0 -0.2587977 0 0.9659315 0 -1 0 0.2587978 0 0.9659316 0 -1 0 0.2587978 0 0.9659316 0 -1 0 0.7071174 0 0.7070962 0 -1 0 0.7071174 0 0.7070962 0.9659264 0 0.258817 0 -1 0 0.9659264 0 0.258817 0.9659265 0 -0.2588167 0.9659265 0 -0.2588167 0 -1 0 0 -1 0 -0.9659264 0 -0.258817 0.7071174 0 -0.7070962 0 -1 0 0.7071174 0 -0.7070962 0.2587965 0 -0.9659318 0 -1 0 0.2587965 0 -0.9659318 -0.2587964 0 -0.9659319 0 -1 0 -0.2587964 0 -0.9659319 0 -1 0 0 -1 0 0 -1 0 -0.7071176 0 -0.707096 0 -1 0 -0.7071176 0 -0.707096 0 -1 0 0 -1 0 -0.9659265 0 0.2588167 0 -1 0 -0.9659265 0 0.2588167 -0.9659264 0 -0.258817 0 -1 0 0 -1 0 -0.7071174 0 0.7070962 0 -1 0 -0.7071174 0 0.7070962 -0.2587965 0 0.9659318 0 -1 0 -0.2587965 0 0.9659318 0.2587964 0 0.9659319 0.2587964 0 0.9659319 0 -1 0 0 -1 0 0.7071176 0 0.707096 0.7071176 0 0.707096 0.9659264 0 0.258817 0.9659264 0 0.258817 0.9659263 0 -0.2588173 0.9659263 0 -0.2588173 -0.9659264 0 -0.258817 0.7071176 0 -0.707096 0.7071176 0 -0.707096 0.2587977 0 -0.9659315 0.2587977 0 -0.9659315 -0.2587978 0 -0.9659316 0 -1 0 -0.2587978 0 -0.9659316 -0.7071174 0 -0.7070962 0 -1 0 -0.7071174 0 -0.7070962 -0.9659264 0 0.258817 0 -1 0 -0.9659264 0 0.258817 -0.9659265 0 -0.2588167 0 -1 0 -0.7071174 0 0.7070962 0 -1 0 -0.7071174 0 0.7070962 -0.2587978 0 0.9659316 -0.2587978 0 0.9659316 0.2587977 0 0.9659315 0.2587977 0 0.9659315 0.7071176 0 0.707096 0.7071176 0 0.707096 0.9659263 0 0.2588173 0.9659263 0 0.2588173 0.9659264 0 -0.258817 0.9659264 0 -0.258817 -0.9659265 0 -0.2588167 0.7071176 0 -0.707096 0.7071176 0 -0.707096 0.2587964 0 -0.9659319 0.2587964 0 -0.9659319 -0.2587965 0 -0.9659318 0 -1 0 -0.2587965 0 -0.9659318 -0.7071174 0 -0.7070962 0 -1 0 -0.7071174 0 -0.7070962 0 -1 0 0.5037362 0.2086408 0.8382833 0.9238883 0.3826623 0 0.5037143 0.208648 0.8382946 0.5037152 -0.2086402 0.8382961 0.9238219 -0.3826495 -0.01151484 0.8613721 -0.5073232 -0.02571725 0.9810332 -0.19384 0 0.2086323 0.5037159 0.8382976 0.382662 0.9238884 0 0.2086529 0.5037264 0.8382862 0.9783465 0.2048818 -0.02935338 0.881379 0.4723501 -0.007505238 0.78143 0.6239929 0 -0.2086442 0.5037255 0.8382889 -0.3826745 0.9238831 0 -0.2086479 0.5037142 0.8382947 0.382662 0.9238884 0 -0.5037142 0.2086509 0.838294 -0.9238259 0.3826717 -0.01039683 -0.5037123 0.2086471 0.8382961 -0.3826745 0.9238831 0 -0.7714354 0.6363075 0 -0.5037145 -0.2086482 0.8382945 -0.5036999 -0.208653 0.8383021 -0.9238706 -0.3827049 0 -0.9751099 0.2217223 0 -0.8215227 0.5692175 -0.03304648 0.5037205 -0.2086507 0.8382902 -0.2086585 -0.5037131 0.8382928 -0.3827049 -0.9238706 0 -0.2086451 -0.5037063 0.8383002 -0.7714129 -0.6363349 0 -0.9892066 -0.1410791 -0.03958588 -0.9266344 -0.3756746 -0.01473581 -0.8519597 -0.523584 -0.0049479 0.2086494 -0.5037106 0.8382965 0.3826923 -0.9238758 0 0.2086482 -0.5037142 0.8382947 -0.3827049 -0.9238706 0 0.3826923 -0.9238758 0 0.7813825 -0.6240525 0 -0.9752558 -0.2210797 0 -0.9238758 0.3826923 0 -0.9831392 0.1538388 0.0988475 -0.9236186 -0.3826004 0.02335995 -0.5037133 -0.2086586 -0.8382926 -0.6474173 -0.7510887 0.1292932 -0.5037105 0.2086494 -0.8382966 -0.5037145 0.208648 -0.8382946 -0.208653 -0.5036999 -0.8383021 -0.5037065 -0.2086449 -0.8383002 0.2086508 -0.5037139 -0.8382941 -0.2086483 -0.5037142 -0.8382946 0.9238831 -0.3826748 0 0.5037256 -0.2086445 -0.8382887 0.9728197 -0.2207141 0.07005155 0.8731934 -0.4871306 0.01539665 0.2086474 -0.5037122 -0.8382961 0.9810358 0.1938267 0 0.7805287 0.6188374 0.08840477 0.923576 0.382533 0.02599877 0.5037161 0.2086325 -0.8382974 0.5037143 -0.2086482 -0.8382946 0 -0.3850954 0.9228768 0 0.3852657 -0.9228057 0.2086406 0.5037362 -0.8382834 0.5037265 0.208653 -0.8382861 -0.2086399 0.5037151 -0.8382961 0.2086478 0.5037142 -0.8382948 -0.9207296 0.3887025 0.03416681 -0.8453577 0.5341026 0.01024425 -0.2086505 0.5037205 -0.8382903 -0.5037362 0.2086408 -0.8382833 -0.9238883 0.3826623 0 -0.5037143 0.208648 -0.8382946 -0.5037152 -0.2086402 -0.8382961 -0.9238219 -0.3826495 0.01151484 -0.9810332 -0.19384 0 -0.8613721 -0.5073232 0.02571725 -0.2086323 0.5037159 -0.8382976 -0.382662 0.9238884 0 -0.2086529 0.5037264 -0.8382862 -0.9783465 0.2048818 0.02935338 -0.881379 0.4723501 0.007505238 -0.78143 0.6239929 0 0.2086442 0.5037255 -0.8382889 0.3826745 0.9238831 0 0.2086479 0.5037142 -0.8382947 -0.382662 0.9238884 0 0.5037142 0.2086509 -0.838294 0.9238259 0.3826717 0.01039683 0.5037123 0.2086471 -0.8382961 0.3826745 0.9238831 0 0.7714354 0.6363075 0 0.5037145 -0.2086482 -0.8382945 0.5036999 -0.208653 -0.8383021 0.9238706 -0.3827049 0 0.9751099 0.2217223 0 0.8215227 0.5692175 0.03304648 -0.5037205 -0.2086507 -0.8382902 0.2086585 -0.5037131 -0.8382928 0.3827049 -0.9238706 0 0.2086451 -0.5037063 -0.8383002 0.9892066 -0.1410791 0.03958588 0.7714129 -0.6363349 0 0.9266344 -0.3756746 0.01473581 0.8519597 -0.523584 0.0049479 -0.2086494 -0.5037106 -0.8382965 -0.3826923 -0.9238758 0 -0.2086482 -0.5037142 -0.8382947 0.3827049 -0.9238706 0 -0.3826923 -0.9238758 0 -0.7813825 -0.6240525 0 0 0.3852657 0.9228057 -0.7805287 0.6188372 -0.08840477 -0.923576 0.382533 -0.02599877 -0.9810358 0.1938267 0 -0.9238831 -0.3826748 0 -0.9728197 -0.2207141 -0.07005155 0 -0.3850954 -0.9228768 -0.5037161 0.2086325 0.8382974 -0.5037256 -0.2086445 0.8382887 -0.5037143 -0.2086482 0.8382946 -0.2086406 0.5037362 0.8382834 -0.5037265 0.208653 0.8382861 0.2086399 0.5037151 0.8382961 -0.2086478 0.5037142 0.8382948 0.9238758 0.3826923 0 0.5037105 0.2086494 0.8382966 0.9831392 0.1538388 -0.0988475 0.9207296 0.3887025 -0.03416681 0.8453577 0.5341026 -0.01024425 0.2086505 0.5037205 0.8382903 0.9752558 -0.2210797 0 0.9236186 -0.3826004 -0.02335995 0.5037133 -0.2086586 0.8382926 0.6474173 -0.7510887 -0.1292932 0.5037145 0.208648 0.8382946 0.208653 -0.5036999 0.8383021 0.5037065 -0.2086449 0.8383002 -0.2086508 -0.5037139 0.8382941 0.2086483 -0.5037142 0.8382946 -0.8731934 -0.4871306 -0.01539665 -0.2086474 -0.5037122 0.8382961 1 0 0 1 0 0 1 0 0 1 0 0 0.4936847 0.8216016 0.2850373 0.4936846 0.8216016 -0.2850375 0 0.821596 0.5700703 -0.4936844 0.8216018 0.2850371 -0.4936843 0.8216017 -0.2850373 0 0.8215957 -0.5700705 0.4936844 0.8216018 0.2850371 0.4936843 0.8216017 -0.2850373 0 0.821596 0.5700703 -0.4936847 0.8216016 0.2850373 -0.4936846 0.8216016 -0.2850375 0 0.8215957 -0.5700705 0.4936846 0.8216016 0.2850375 0.4936858 0.8216034 -0.28503 0 0.8215957 0.5700705 -0.4936843 0.8216017 0.2850373 -0.4936856 0.8216037 -0.2850299 0 0.8216034 -0.5700595 0.4936843 0.8216017 0.2850373 0.4936856 0.8216037 -0.2850299 0 0.8215957 0.5700705 -0.4936846 0.8216016 0.2850375 -0.4936858 0.8216034 -0.28503 0 0.8216034 -0.5700595 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.7071075 -0.7071062 0 0.500003 -0.7071025 0.500003 0.5000031 -0.7071025 0.500003 0.500003 -0.7071025 -0.500003 0.7071074 -0.7071062 0 0 -0.7071055 -0.7071081 0.5000031 -0.7071024 -0.5000031 -0.500003 -0.7071025 -0.500003 0 -0.7071055 -0.707108 -0.7071075 -0.7071062 0 -0.5000031 -0.7071025 -0.500003 -0.500003 -0.7071025 0.500003 -0.7071074 -0.7071062 0 0 -0.7071055 0.7071081 -0.500003 -0.7071025 0.500003 0 -0.7071055 0.707108 0 0 1 0.9340011 -0.3572701 0 0 0 1 0 0 1 0.7764343 0.6301982 -9.75332e-5 0 0 1 0 0 1 0.7764297 0.630204 0 0.1575605 -0.9875091 5.53541e-4 0.9339908 -0.3572971 -3.84524e-4 0 0 1 -0.7764343 -0.6301982 -9.75333e-5 0 0 1 0.157576 -0.9875066 7.6382e-4 0 0 1 -0.9340013 0.3572697 0 0 0 1 0 0 1 0 0 1 -0.7764297 -0.6302039 0 -0.1575609 0.9875091 5.5354e-4 -0.9339909 0.3572967 -3.84885e-4 0 0 1 -0.1575765 0.9875065 7.6382e-4 -0.9875108 -0.1575519 0 -0.6301872 0.7764433 0 -0.9875108 -0.1575519 0 -0.3572873 -0.9339945 0 -0.3572873 -0.9339945 0 0.630188 -0.7764427 0 0.630188 -0.7764427 0 0.9875107 0.1575523 0 0.9875107 0.1575523 0 0.3572884 0.9339941 0 0.3572884 0.9339941 0 -0.6301872 0.7764433 0 -0.7060375 0.2700935 -0.6546453 -0.625834 -0.3844822 -0.6786054 -0.6163384 -0.5002628 -0.6081647 -0.1271471 0.7968105 -0.5907002 -0.8107352 0.1936441 -0.5524585 -0.3593875 0.5849853 -0.7270714 0.6163381 0.5002626 -0.608165 0.1594979 0.6677709 -0.7270781 0.6258338 0.3844833 -0.6786049 0.7060374 -0.2700937 -0.6546454 -0.9726406 0.2323152 0 -0.8520509 -0.5234588 0 -0.8520509 -0.5234588 0 -0.5234597 0.8520504 0 -0.9726406 0.2323152 0 0.2323163 0.9726403 0 -0.5234597 0.8520504 0 0.8520501 0.5234603 0 0.2323163 0.9726403 0 0.8520501 0.5234603 0 0.9726403 -0.232316 0 0.8107348 -0.1936448 -0.5524589 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9726403 -0.232316 0 0 0 -1 0.9726098 -0.2324442 0 0.8519812 0.5235723 0 0.8519812 0.5235723 0 0 0 -1 0.5233891 -0.8520938 0 0.9726098 -0.2324442 0 0 0 -1 -0.232216 -0.9726642 0 0 0 -1 0 0 -1 0.5233891 -0.8520938 0 -0.8519823 -0.5235707 0 -0.232216 -0.9726642 0 -0.9726096 0.2324445 0 -0.8519823 -0.5235707 0 -0.5233891 0.8520938 0 -0.9726096 0.2324445 0 0.2322163 0.9726642 0 -0.5233891 0.8520938 0 0.2322163 0.9726642 0 -0.2323149 -0.9726406 0 0.5234594 -0.8520506 0 -0.2323149 -0.9726406 0 0.5234594 -0.8520506 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1271467 -0.7968104 -0.5907003 0.3593873 -0.5849854 -0.7270714 -0.159497 -0.6677714 -0.7270778 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3572701 -0.9340011 0 0 0 1 0 0 1 0.6301982 -0.7764343 -9.75332e-5 0 0 1 0 0 1 0.630204 -0.7764297 0 -0.9875091 -0.1575605 5.53541e-4 -0.3572971 -0.9339908 -3.84524e-4 0 0 1 -0.6301982 0.7764343 -9.75333e-5 0 0 1 -0.9875066 -0.157576 7.6382e-4 0 0 1 0.3572697 0.9340013 0 0 0 1 0 0 1 0 0 1 -0.6302039 0.7764297 0 0.9875091 0.1575609 5.5354e-4 0.3572967 0.9339909 -3.84885e-4 0 0 1 0.9875065 0.1575765 7.6382e-4 -0.1575519 0.9875108 0 0.7764433 0.6301872 0 -0.1575519 0.9875108 0 -0.9339945 0.3572873 0 -0.9339945 0.3572873 0 -0.7764427 -0.630188 0 -0.7764427 -0.630188 0 0.1575523 -0.9875107 0 0.1575523 -0.9875107 0 0.9339941 -0.3572884 0 0.9339941 -0.3572884 0 0.7764433 0.6301872 0 0.2700935 0.7060375 -0.6546453 -0.3844822 0.625834 -0.6786054 -0.5002628 0.6163384 -0.6081647 0.7968105 0.1271471 -0.5907002 0.1936441 0.8107352 -0.5524585 0.5849853 0.3593875 -0.7270714 0.5002626 -0.6163381 -0.608165 0.6677709 -0.1594979 -0.7270781 0.3844833 -0.6258338 -0.6786049 -0.2700937 -0.7060374 -0.6546454 0.2323152 0.9726406 0 -0.5234588 0.8520509 0 -0.5234588 0.8520509 0 0.8520504 0.5234597 0 0.2323152 0.9726406 0 0.9726403 -0.2323163 0 0.8520504 0.5234597 0 0.5234603 -0.8520501 0 0.9726403 -0.2323163 0 0.5234603 -0.8520501 0 -0.232316 -0.9726403 0 -0.1936448 -0.8107348 -0.5524589 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.232316 -0.9726403 0 0 0 -1 -0.2324442 -0.9726098 0 0.5235723 -0.8519812 0 0.5235723 -0.8519812 0 0 0 -1 -0.8520938 -0.5233891 0 -0.2324442 -0.9726098 0 0 0 -1 -0.9726642 0.232216 0 0 0 -1 0 0 -1 -0.8520938 -0.5233891 0 -0.5235707 0.8519823 0 -0.9726642 0.232216 0 0.2324445 0.9726096 0 -0.5235707 0.8519823 0 0.8520938 0.5233891 0 0.2324445 0.9726096 0 0.9726642 -0.2322163 0 0.8520938 0.5233891 0 0.9726642 -0.2322163 0 -0.9726406 0.2323149 0 -0.8520506 -0.5234594 0 -0.9726406 0.2323149 0 -0.8520506 -0.5234594 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7968104 -0.1271467 -0.5907003 -0.5849854 -0.3593873 -0.7270714 -0.6677714 0.159497 -0.7270778 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9352366 -0.3540233 0 0 0 1 0 0 1 0.7742323 0.6329014 -4.7132e-5 0 0 1 0 0 1 0.7742301 0.6329042 0 0.1610133 -0.986952 6.04575e-4 0.9352346 -0.3540287 -7.58962e-5 0 0 1 -0.7742322 -0.6329017 -3.85998e-5 0 0 1 0.1609972 -0.9869548 3.87782e-4 0 0 1 -0.9352366 0.3540233 0 0 0 1 0 0 1 0 0 1 -0.7742304 -0.632904 0 -0.1610132 0.9869521 6.03599e-4 -0.9352344 0.354029 -8.16788e-5 0 0 1 -0.1609969 0.9869549 3.82722e-4 -0.9869516 -0.1610173 0 -0.6328983 0.774235 0 -0.9869516 -0.1610173 0 -0.35403 -0.9352341 0 -0.35403 -0.9352341 0 0.6328963 -0.7742366 0 0.6328963 -0.7742366 0 0.9869517 0.161017 0 0.9869517 0.161017 0 0.3540281 0.9352348 0 0.3540281 0.9352348 0 -0.6328983 0.774235 0 -0.7069685 0.2676199 -0.6546565 -0.6245016 -0.3866484 -0.6786021 -0.6146026 -0.5024144 -0.6081476 -0.129908 0.7963715 -0.5906913 -0.8114027 0.1908023 -0.5524674 -0.3614105 0.5837369 -0.727072 0.6146025 0.5024146 -0.6081474 0.1571606 0.6683385 -0.7270655 0.6245016 0.3866487 -0.6786019 0.706969 -0.2676197 -0.6546561 -0.9734481 0.2289075 0 -0.8502334 -0.5264059 0 -0.8502334 -0.5264059 0 -0.5264068 0.8502328 0 -0.9734481 0.2289075 0 0.2289075 0.9734481 0 -0.5264068 0.8502328 0 0.8502332 0.5264062 0 0.2289075 0.9734481 0 0.8502332 0.5264062 0 0.9734481 -0.2289075 0 0.8114027 -0.1908023 -0.5524672 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9734481 -0.2289075 0 0 0 -1 0.9734159 -0.2290448 0 0.850135 0.5265648 0 0.850135 0.5265648 0 0 0 -1 0.5263849 -0.8502465 0 0.9734159 -0.2290448 0 0 0 -1 -0.2288138 -0.9734702 0 0 0 -1 0 0 -1 0.5263849 -0.8502465 0 -0.8501344 -0.5265658 0 -0.2288138 -0.9734702 0 -0.9734157 0.2290459 0 -0.8501344 -0.5265658 0 -0.5263855 0.8502461 0 -0.9734157 0.2290459 0 0.2288148 0.97347 0 -0.5263855 0.8502461 0 0.2288148 0.97347 0 -0.2289075 -0.9734481 0 0.5264054 -0.8502337 0 -0.2289075 -0.9734481 0 0.5264054 -0.8502337 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1299083 -0.7963714 -0.5906916 0.3614096 -0.5837377 -0.7270719 -0.1571605 -0.6683382 -0.7270658 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9352366 -0.3540233 0 0 0 1 0 0 1 0.7742323 0.6329014 -4.32945e-5 0 0 1 0 0 1 0.7742304 0.632904 0 0.1610133 -0.986952 6.04575e-4 0.9352346 -0.3540287 -7.58962e-5 0 0 1 -0.7742322 -0.6329017 -4.24374e-5 0 0 1 0.1609968 -0.9869549 3.81818e-4 0 0 1 -0.9352366 0.3540233 0 0 0 1 0 0 1 0 0 1 -0.7742301 -0.6329042 0 -0.1610132 0.9869521 6.03599e-4 -0.9352344 0.354029 -8.16788e-5 0 0 1 -0.1609973 0.9869547 3.88685e-4 -0.9869517 -0.161017 0 -0.6328976 0.7742356 0 -0.9869517 -0.161017 0 -0.3540289 -0.9352344 0 -0.3540289 -0.9352344 0 0.6328971 -0.774236 0 0.6328971 -0.774236 0 0.9869516 0.1610173 0 0.9869516 0.1610173 0 0.3540292 0.9352343 0 0.3540292 0.9352343 0 -0.6328976 0.7742356 0 -0.7069686 0.26762 -0.6546563 -0.6245016 -0.3866478 -0.6786023 -0.6146025 -0.5024146 -0.6081474 -0.1299083 0.7963714 -0.5906915 -0.8114027 0.1908023 -0.5524672 -0.36141 0.5837374 -0.7270718 0.6146026 0.5024144 -0.6081476 0.1571605 0.6683382 -0.7270658 0.6245016 0.3866492 -0.6786016 0.7069689 -0.2676197 -0.6546562 -0.9734481 0.2289075 0 -0.8502337 -0.5264054 0 -0.8502337 -0.5264054 0 -0.5264059 0.8502334 0 -0.9734481 0.2289075 0 0.2289075 0.9734481 0 -0.5264059 0.8502334 0 0.8502328 0.5264068 0 0.2289075 0.9734481 0 0.8502328 0.5264068 0 0.9734481 -0.2289075 0 0.8114027 -0.1908023 -0.5524674 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9734481 -0.2289075 0 0 0 -1 0.9734159 -0.2290445 0 0.850135 0.5265648 0 0.850135 0.5265648 0 0 0 -1 0.5263849 -0.8502465 0 0.9734159 -0.2290445 0 0 0 -1 -0.2288151 -0.9734698 0 0 0 -1 0 0 -1 0.5263849 -0.8502465 0 -0.8501344 -0.5265658 0 -0.2288151 -0.9734698 0 -0.9734155 0.2290462 0 -0.8501344 -0.5265658 0 -0.5263855 0.8502461 0 -0.9734155 0.2290462 0 0.2288135 0.9734703 0 -0.5263855 0.8502461 0 0.2288135 0.9734703 0 -0.2289075 -0.9734481 0 0.5264062 -0.8502332 0 -0.2289075 -0.9734481 0 0.5264062 -0.8502332 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1299079 -0.7963715 -0.5906913 0.3614101 -0.5837371 -0.727072 -0.1571606 -0.6683385 -0.7270655 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 -0.7071067 0.7071067 2.61682e-7 0 0 1 -0.7071067 0.707107 0 -0.7071068 0.7071068 2.31299e-7 -0.7071068 0.7071068 1.50492e-7 -0.7071067 0.7071069 0 -0.7071066 0.707107 0 -0.7071027 0.707111 -2.41725e-6 0 0 1 0.7071068 0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7071068 0.7071068 0 0 0 1 0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 1 0 -1 0 0 0 1 0.7071068 -0.7071068 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 1 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -0.707107 0.7071067 0 -0.7071069 0.7071068 1.50492e-7 0 0 1 0.9238986 0.3826374 0 0 0 1 0.9238986 -0.3826374 8.48477e-6 0 0 1 0.9238767 -0.3826901 0 0 0 1 0.3827456 0.9238538 -2.43616e-5 0.9238767 0.3826901 8.48306e-6 0 0 1 -0.3827456 0.9238538 -1.67232e-5 0 0 1 0.3826981 0.9238735 -1.6724e-5 0 0 1 -0.9238986 0.3826374 8.48477e-6 0 0 1 -0.3826981 0.9238735 -2.43634e-5 0 0 1 -0.9238986 -0.3826374 0 0 0 1 -0.9238767 0.3826901 0 0 0 1 -0.3827456 -0.9238538 -2.43616e-5 0 0 1 -0.9238767 -0.3826901 8.48306e-6 0 0 1 0.3827456 -0.9238538 -1.67232e-5 0 0 1 -0.3826981 -0.9238735 -1.6724e-5 0 0 1 0 0 1 0.3826981 -0.9238735 -2.43634e-5 0 0 1 0.3826374 -0.9238986 0 0 0 1 -0.3826374 -0.9238986 8.48477e-6 0 0 1 0 0 1 -0.3826901 -0.9238767 0 0 0 1 0.9238538 -0.3827456 -2.43616e-5 0 0 1 0.3826901 -0.9238767 8.48306e-6 0 0 1 0.9238538 0.3827456 -1.67232e-5 0 0 1 0.9238735 -0.3826981 -1.6724e-5 0 0 1 0.3826374 0.9238986 8.48477e-6 0.9238735 0.3826981 -2.43634e-5 0 0 1 -0.3826374 0.9238986 0 0 0 1 0.3826901 0.9238767 0 0 0 1 -0.9238538 0.3827456 -2.43616e-5 0 0 1 0 0 1 -0.3826901 0.9238767 8.48306e-6 0 0 1 -0.9238538 -0.3827456 -1.67232e-5 -0.9238735 0.3826981 -1.6724e-5 0 0 1 -0.9238735 -0.3826981 -2.43634e-5 0 0 1 -0.9238986 -0.3826374 0 0 0 1 -0.9238986 0.3826374 8.48477e-6 0 0 1 -0.9238767 0.3826901 0 0 0 1 -0.3827456 -0.9238538 -2.43616e-5 -0.9238767 -0.3826901 8.48306e-6 0 0 1 0.3827456 -0.9238538 -1.67232e-5 0 0 1 -0.3826981 -0.9238735 -1.6724e-5 0 0 1 0.9238986 -0.3826374 8.48477e-6 0 0 1 0.3826981 -0.9238735 -2.43634e-5 0 0 1 0.9238986 0.3826374 0 0 0 1 0.9238767 -0.3826901 0 0 0 1 0.3827456 0.9238538 -2.43616e-5 0 0 1 0.9238767 0.3826901 8.48306e-6 0 0 1 -0.3827456 0.9238538 -1.67232e-5 0 0 1 0.3826981 0.9238735 -1.6724e-5 0 0 1 0 0 1 -0.3826981 0.9238735 -2.43634e-5 0 0 1 -0.3826374 0.9238986 0 0 0 1 0.3826374 0.9238986 8.48477e-6 0 0 1 0 0 1 0.3826901 0.9238767 0 0 0 1 -0.9238538 0.3827456 -2.43616e-5 0 0 1 -0.3826901 0.9238767 8.48306e-6 0 0 1 -0.9238538 -0.3827456 -1.67232e-5 0 0 1 -0.9238735 0.3826981 -1.6724e-5 0 0 1 -0.3826374 -0.9238986 8.48477e-6 -0.9238735 -0.3826981 -2.43634e-5 0 0 1 0.3826374 -0.9238986 0 0 0 1 -0.3826901 -0.9238767 0 0 0 1 0.9238538 -0.3827456 -2.43616e-5 0 0 1 0 0 1 0.3826901 -0.9238767 8.48306e-6 0 0 1 0.9238538 0.3827456 -1.67232e-5 0.9238735 -0.3826981 -1.6724e-5 0 0 1 0.9238735 0.3826981 -2.43634e-5 0.7071068 -0.7071068 0 0.5555713 -0.8314688 0 0.5555713 -0.8314688 0 0.707107 -0.7071065 0 0.7071064 -0.7071073 6.29047e-7 0.7071068 -0.7071068 0 0.8314688 -0.5555713 0 0.7071065 -0.707107 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0.7071073 -0.7071064 6.29047e-7 0.7071066 -0.707107 0 0.9807843 -0.1950949 0 0.8314688 -0.5555713 0 1 0 0 1 0 0 0.9807843 -0.1950949 0 0.9238566 0.3827388 0 0.3827447 0.9238542 0 0.9238566 0.3827388 0 0 1 0 0 1 0 0.3827447 0.9238542 0 0.382782 0.9238387 0 0.923915 0.3825977 -2.45948e-5 0.3827486 0.9238526 8.73371e-6 0.923915 -0.3825977 1.45946e-5 0.923853 0.3827475 1.45936e-5 0 0 1 0.382782 -0.9238387 8.73213e-6 0.923853 -0.3827475 -2.45888e-5 0 -1 0 0 -1 0 0.3827486 -0.9238525 0 0.3827447 -0.9238542 0 0.9238566 -0.3827388 0 0.3827447 -0.9238542 0 1 0 0 1 0 0 0.9238566 -0.3827388 0 0.9807843 0.1950949 0 0.8314688 0.5555713 0 0.9807843 0.1950949 0 0.7071068 0.7071068 0 0.8314688 0.5555713 0 0.5555713 0.8314688 0 0.7071068 0.7071068 0 0.1950949 0.9807843 0 0.5555713 0.8314688 0 0 1 0 0 1 0 0.1950949 0.9807843 0 0 0 1 -0.3827388 0.9238566 0 0 0 1 -0.9238542 0.3827447 0 -0.3827388 0.9238566 0 -1 0 0 -1 0 0 -0.9238542 0.3827447 0 -0.9238387 0.382782 0 0 0 1 -0.3825977 0.923915 -2.45948e-5 -0.9238526 0.3827486 8.73371e-6 0.3825977 0.923915 1.45946e-5 -0.3827475 0.923853 1.45936e-5 0.9238387 0.382782 8.73213e-6 0.3827475 0.923853 -2.45888e-5 1 0 0 1 0 0 0.9238525 0.3827486 0 0.9238542 0.3827447 0 0.3827388 0.9238566 0 0.9238542 0.3827447 0 0 1 0 0 1 0 0.3827388 0.9238566 0 -0.1950949 0.9807843 0 -0.5555713 0.8314688 0 -0.1950949 0.9807843 0 -0.7071068 0.7071068 0 -0.5555713 0.8314688 0 -0.8314688 0.5555713 0 -0.7071068 0.7071068 0 -0.9807843 0.1950949 0 -0.8314688 0.5555713 0 -1 0 0 -1 0 0 -0.9807843 0.1950949 0 -0.9238566 -0.3827388 0 -0.3827447 -0.9238542 0 -0.9238566 -0.3827388 0 0 -1 0 0 -1 0 -0.3827447 -0.9238542 0 -0.382782 -0.9238387 0 -0.923915 -0.3825977 -2.45948e-5 -0.3827486 -0.9238526 8.73371e-6 -0.923915 0.3825977 1.45946e-5 -0.923853 -0.3827475 1.45936e-5 0 0 1 -0.382782 0.9238387 8.73213e-6 -0.923853 0.3827475 -2.45888e-5 0 1 0 0 1 0 -0.3827486 0.9238525 0 -0.3827447 0.9238542 0 -0.9238566 0.3827388 0 -0.3827447 0.9238542 0 -1 0 0 -1 0 0 -0.9238566 0.3827388 0 -0.9807843 -0.1950949 0 -0.8314688 -0.5555713 0 -0.9807843 -0.1950949 0 -0.7071068 -0.7071068 0 -0.8314688 -0.5555713 0 -0.5555713 -0.8314688 0 -0.7071068 -0.7071068 0 -0.1950949 -0.9807843 0 -0.5555713 -0.8314688 0 0 -1 0 0 -1 0 -0.1950949 -0.9807843 0 0 0 1 0.3827388 -0.9238566 0 0 0 1 0.9238542 -0.3827447 0 0.3827388 -0.9238566 0 1 0 0 1 0 0 0.9238542 -0.3827447 0 0.9238387 -0.382782 0 0 0 1 0.3825977 -0.923915 -2.45948e-5 0.9238526 -0.3827486 8.73371e-6 -0.3825977 -0.923915 1.45946e-5 0.3827475 -0.923853 1.45936e-5 -0.9238387 -0.382782 8.73213e-6 -0.3827475 -0.923853 -2.45888e-5 -1 0 0 -1 0 0 -0.9238525 -0.3827486 0 -0.9238542 -0.3827447 0 -0.3827388 -0.9238566 0 -0.9238542 -0.3827447 0 0 -1 0 0 -1 0 -0.3827388 -0.9238566 0 0.1950949 -0.9807843 0 0.1950949 -0.9807843 0 0 0 -1 0.6785824 -0.2811613 -0.6785826 0 0 -1 0.6786053 0.2811707 -0.6785557 0.6785972 0.2810899 -0.6785974 0 0 -1 0.2810184 -0.6786134 -0.6786106 0.6786453 -0.2811099 -0.6785409 0 0 -1 -0.2810289 -0.6786386 -0.6785811 0 0 -1 0 0 -1 0.2811072 -0.6786224 -0.6785649 0 0 -1 -0.6786053 -0.2811707 -0.6785557 -0.2810853 -0.6785696 -0.6786268 0 0 -1 -0.6785824 0.2811613 -0.6785826 -0.6785972 -0.2810899 -0.6785974 0 0 -1 -0.2810184 0.6786134 -0.6786106 -0.6786453 0.2811099 -0.6785409 0 0 -1 0.2810289 0.6786386 -0.6785811 0 0 -1 -0.2811072 0.6786224 -0.6785649 0 0 -1 0.2810853 0.6785696 -0.6786268 0 0 -1 -0.2811613 -0.6785824 -0.6785826 0 0 -1 0.2811707 -0.6786053 -0.6785557 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2810899 -0.6785972 -0.6785974 0 0 -1 -0.6786134 -0.2810184 -0.6786106 -0.2811099 -0.6786453 -0.6785409 0 0 -1 -0.6786386 0.2810289 -0.6785811 0 0 -1 -0.6786224 -0.2811072 -0.6785649 0 0 -1 -0.2811707 0.6786053 -0.6785557 -0.6785696 0.2810853 -0.6786268 0 0 -1 0.2811613 0.6785824 -0.6785826 0 0 -1 0 0 -1 -0.2810899 0.6785972 -0.6785974 0 0 -1 0.6786134 0.2810184 -0.6786106 0 0 -1 0.2811099 0.6786453 -0.6785409 0 0 -1 0.6786386 -0.2810289 -0.6785811 0 0 -1 0 0 -1 0 0 -1 0.6786224 0.2811072 -0.6785649 0 0 -1 0 0 -1 0.6785696 -0.2810853 -0.6786268 0 0 -1 -0.6785824 0.2811613 -0.6785826 0 0 -1 -0.6786053 -0.2811707 -0.6785557 -0.6785972 -0.2810899 -0.6785974 0 0 -1 -0.2810184 0.6786134 -0.6786106 -0.6786453 0.2811099 -0.6785409 0 0 -1 0.2810289 0.6786386 -0.6785811 0 0 -1 0 0 -1 -0.2811072 0.6786224 -0.6785649 0 0 -1 0.6786053 0.2811707 -0.6785557 0.2810853 0.6785696 -0.6786268 0 0 -1 0.6785824 -0.2811613 -0.6785826 0.6785972 0.2810899 -0.6785974 0 0 -1 0.2810184 -0.6786134 -0.6786106 0.6786453 -0.2811099 -0.6785409 0 0 -1 -0.2810289 -0.6786386 -0.6785811 0 0 -1 0.2811072 -0.6786224 -0.6785649 0 0 -1 -0.2810853 -0.6785696 -0.6786268 0 0 -1 0.2811613 0.6785824 -0.6785826 -0.2811707 0.6786053 -0.6785557 0 0 -1 -0.2810899 0.6785972 -0.6785974 0 0 -1 0.6786134 0.2810184 -0.6786106 0.2811099 0.6786453 -0.6785409 0 0 -1 0.6786386 -0.2810289 -0.6785811 0 0 -1 0.6786224 0.2811072 -0.6785649 0 0 -1 0.2811707 -0.6786053 -0.6785557 0.6785696 -0.2810853 -0.6786268 0 0 -1 -0.2811613 -0.6785824 -0.6785826 0 0 -1 0.2810899 -0.6785972 -0.6785974 0 0 -1 -0.6786134 -0.2810184 -0.6786106 0 0 -1 0 0 -1 -0.2811099 -0.6786453 -0.6785409 -0.6786386 0.2810289 -0.6785811 -0.6786224 -0.2811072 -0.6785649 -0.6785696 0.2810853 -0.6786268 0 0 -1 -0.7071068 0.7071068 -2.61682e-7 0 0 -1 0 0 -1 0 0 -1 -0.7071068 0.7071068 -2.31298e-7 -0.7071069 0.7071068 -1.50492e-7 -0.7071069 0.7071067 0 -0.707107 0.7071066 0 -0.707111 0.7071027 2.41725e-6 -0.7071068 0.7071069 -1.50492e-7 -0.8660257 0.4999996 0 -0.8660256 -0.4999997 0 -0.8660256 -0.4999997 0 0 1 0 -0.8660257 0.4999996 0 0.8660257 0.4999996 0 0 1 0 0.8660256 -0.4999997 0 0.8660257 0.4999996 0 0 -1 0 0.8660256 -0.4999997 0 0 -1 0 0.03487467 0.9993917 0 -0.8480668 0.5298894 0 -0.8480668 0.5298894 0 0.882958 0.469452 0 0.03487467 0.9993917 0 0.8480318 -0.5299454 0 0.882958 0.469452 0 -0.03487467 -0.9993917 0 0.8480318 -0.5299454 0 -0.8829303 -0.469504 0 -0.03487467 -0.9993917 0 -0.8829303 -0.469504 0 0 0 1 -0.9541524 0.2993212 0 0 0 1 -0.7377322 0.6750935 -7.88326e-5 0 0 1 0 0 1 -0.7378533 0.6749612 0 0 0 1 -0.9759851 0.2178373 0 0 0 1 -0.9541524 0.2993212 0 0 0 1 -0.9764407 -0.2157858 0 0 0 1 -0.9759851 0.2178373 0 0 0 1 -0.5480433 -0.83645 8.40991e-5 -0.9764768 -0.2156224 -7.35252e-5 0 0 1 0.4785497 -0.8780605 9.11928e-6 0 0 1 0 0 0 -0.5482215 -0.8363332 -1.0447e-5 0 0 1 0.888836 -0.4582255 -5.12637e-5 0.4786316 -0.8780159 4.1776e-5 0 0 1 0.9770585 -0.2129711 0 0.8889037 -0.4580941 0 0 0 1 0.9526454 -0.3040832 0 0.9770585 -0.2129711 0 0 0 1 0.9988672 -0.04758483 0 0 0 1 0.9526454 -0.3040832 0 0 0 1 0.8424131 0.5388323 4.80837e-5 0 0 1 0.998861 -0.04771435 -4.49837e-5 0 0 1 -0.04071909 0.9991707 -2.28483e-5 0 0 1 0 0 1 0.842507 0.5386856 -1.23183e-5 0 0 1 -0.04096132 0.9991607 8.35869e-5 0 0 1 -0.2178373 0.9759851 0 0 0 1 0.2157858 0.9764407 -7.34925e-5 0 0 1 0 0 1 0.2156224 0.9764769 0 0 0 1 -0.2993212 0.9541524 0 -0.2178373 0.9759851 0 0 0 1 -0.6750935 0.7377322 0 -0.2993212 0.9541524 0 0 0 1 -0.9991707 0.04071909 8.36339e-5 0 0 1 -0.6749612 0.7378533 -7.88678e-5 0 0 1 -0.5388323 -0.8424131 -1.23216e-5 -0.9991607 0.04096132 -2.28481e-5 0 0 1 0.04758483 -0.9988672 -4.49647e-5 -0.5386856 -0.842507 4.80628e-5 0 0 1 0.3040832 -0.9526454 0 0 0 1 0.04771429 -0.998861 0 0 0 1 0.2129711 -0.9770585 0 0.3040832 -0.9526454 0 0 0 1 0.4582255 -0.888836 0 0.2129711 -0.9770585 0 0 0 1 0.8780605 -0.4785497 4.17903e-5 0.4580941 -0.8889037 -5.12859e-5 0 0 1 0.83645 0.5480433 -1.04436e-5 0.8780159 -0.4786315 9.12084e-6 0 0 1 0.8363332 0.5482215 8.40583e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7071068 -0.7071068 0 0.7071072 -0.7071064 -6.65528e-7 0.7071068 -0.7071068 0 0.707107 -0.7071066 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0.7071064 -0.7071072 -6.65528e-7 -0.6532838 -0.6532838 -0.3826757 -0.7071067 -0.7071067 0 -0.7071067 -0.7071067 0 -0.2706041 -0.270604 -0.923876 -0.6532841 -0.6532837 -0.3826749 0 0 -1 -0.2706041 -0.270604 -0.923876 0.270604 0.2706041 -0.923876 0 0 -1 0.6532836 0.653284 -0.3826757 0.270604 0.2706041 -0.923876 0.7071067 0.7071067 0 0.653284 0.653284 -0.382675 0.6532838 0.6532838 0.3826757 0.7071067 0.7071067 0 0.2706025 0.2706027 0.9238769 0.6532837 0.6532841 0.3826749 0 0 1 0.2706025 0.2706027 0.9238769 -0.2706027 -0.2706025 0.9238769 0 0 1 -0.653284 -0.6532836 0.3826757 -0.2706027 -0.2706025 0.9238769 -0.653284 -0.653284 0.382675 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.03291076 0.9994584 0 0 0 1 -0.03291076 0.9994584 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.09805536 0.9951809 0 -0.09805536 0.9951809 0 0 0 -1 0 0 -1 1 0 0 0.7076702 -0.7065429 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7076702 -0.7065429 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9994735 0.03244781 0 -0.9994735 0.03244781 0 -0.9951812 0.09805399 0 -0.9951812 0.09805399 0 -0.9866442 0.1628905 0 -0.9866442 0.1628905 0 -0.9738851 0.2270416 0 0 0 1 -0.9738851 0.2270416 0 -0.9569222 0.2903442 0 0 0 1 0 0 1 0 0 1 -0.9569222 0.2903442 0 0 0 -1 -0.9359213 0.3522092 0 0 0 1 0 0 1 -0.9359213 0.3522092 0 0 0 -1 0 0 -1 0 0 -1 -0.910872 0.4126891 0 -0.910872 0.4126891 0 -0.8819186 0.4714019 0 -0.8819186 0.4714019 0 -0.8491969 0.5280764 0 -0.8491969 0.5280764 0 -0.8128609 0.5824577 0 -0.8128609 0.5824577 0 -0.7729696 0.6344432 0 -0.7729696 0.6344432 0 -0.729868 0.6835881 0 -0.729868 0.6835881 0 -0.6836287 0.7298299 0 -0.6836287 0.7298299 0 -0.6343597 0.7730381 0 -0.6343597 0.7730381 0 -0.5824587 0.8128603 0 -0.5824587 0.8128603 0 -0.5280925 0.8491868 0 -0.5280925 0.8491868 0 -0.4714082 0.8819151 0 -0.4714082 0.8819151 0 -0.4126923 0.9108706 0 -0.4126923 0.9108706 0 -0.3522771 0.9358958 0 0 0 1 0 0 1 -0.3522771 0.9358958 0 0 0 -1 -0.2902742 0.9569435 0 0 0 1 0 0 1 0 0 1 -0.2902742 0.9569435 0 0 0 -1 0 0 -1 -0.2270403 0.9738854 0 -0.2270403 0.9738854 0 0 0 -1 0 0 -1 -0.1628905 0.9866442 0 -0.1628905 0.9866442 0 0.3888376 0.9213063 0 0.8202525 0.3301624 0.4670956 0.9999999 -2.40576e-4 0 -0.3791019 0.9253447 -0.004353165 -2.03785e-4 0.9600309 0.2798939 -0.999955 -0.005348205 0.007841706 -0.004333615 -0.9999906 0 -1 1.97961e-4 0 0.9193315 -0.3934718 -0.00308007 2.12274e-4 -0.9999795 0.006399571 0.3887967 0.9213237 0 0.8202314 0.3301522 0.4671401 1 -2.83025e-4 0 -0.3790761 0.9253555 -0.004307329 -2.30789e-4 0.9600286 0.2799021 -0.9999551 -0.005333721 0.007841289 -0.004318714 -0.9999907 0 -1 2.12278e-4 0 0.9192959 -0.3935551 -0.003105461 1.98118e-4 -0.9999798 0.006358742 -1 0 0 0 0 -1 -0.9237228 0.3830615 0 0 0 -1 0 0 -1 -1 0 0 -0.980725 0.1953931 0 -0.980725 0.1953931 0 0 0 -1 0 0 -1 0 0 1 0 0 1 -0.9237228 0.3830615 0 0 0 1 0 0 1 0 0 1 -0.7070949 0.7071186 0 -0.8316314 0.555328 0 -0.7070949 0.7071186 0 0 0 1 -0.8316314 0.555328 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.5635032 0.8261139 0 -0.5553337 0.8316275 -4.13827e-4 0 0 -1 0 0 -1 0 0 1 0 1 0 0 0 -1 -0.3829869 0 -0.9237539 -0.3829869 0 -0.9237539 0 1 0 -0.3829866 0 -0.923754 0 1 0 0 1 0 0 0 -1 0 1 0 -0.9237675 0 -0.3829538 0 1 0 -0.3829866 0 -0.923754 0 1 0 -1 0 0 0 1 0 -0.9237675 0 -0.3829538 0 0.9238287 -0.3828061 0 0.9238287 -0.3828061 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 0.9237675 0 -0.3829538 1 0 0 0.3829866 0 -0.923754 0.9237675 0 -0.3829538 0 1 0 0 0 -1 0.3829866 0 -0.923754 0 1 0 -0.3829866 0 -0.923754 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 1 0 -0.9237673 0 -0.3829542 0 1 0 0 1 0 -0.3829866 0 -0.923754 0 1 0 -1 0 0 0 1 0 -0.9237673 0 -0.3829542 0 1 0 -0.9347479 0 -0.3553115 -1 0 0 -0.4647892 0 -0.8854213 -0.9347479 0 -0.3553115 0 1 0 0.01646852 0.9998644 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.01641428 0.9998653 0 -0.09184819 0 -0.995773 -0.4647892 0 -0.8854213 -0.4647892 0 0.8854213 -0.09215003 -4.61303e-5 0.9957451 -0.09100925 0 0.99585 -0.9347479 0 0.3553115 -0.4647892 0 0.8854213 -1 0 0 -0.9347479 0 0.3553115 -0.9237673 0 0.3829542 -1 0 0 -0.3829866 0 0.923754 -0.9237673 0 0.3829542 0 0 1 -0.3829866 0 0.923754 0 1 0 0.3829866 0 0.923754 0 1 0 0 0 1 0 1 0 0.9237675 0 0.3829538 0 1 0 0.3829866 0 0.923754 0 1 0 1 0 0 0 1 0 0.9237675 0 0.3829538 0 0.9238287 0.3828061 0 0.9238287 0.3828061 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9237675 0 0.3829538 -1 0 0 -0.3829866 0 0.923754 -0.9237675 0 0.3829538 0 0 1 -0.3829866 0 0.923754 0 1 0 0.3829866 0 0.923754 0 0 1 0 1 0 0.9237673 0 0.3829542 0.3829866 0 0.923754 0 1 0 1 0 0 0 1 0 0.9237673 0 0.3829542 0 1 0 0.9347479 0 0.3553115 1 0 0 0.4647892 0 0.8854213 0.9347479 0 0.3553115 0 1 0 -0.1956333 0.9806771 0 -0.01714223 0.9998219 -0.007899463 0.09184819 0 0.995773 0.4647892 0 0.8854213 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4999693 0 -0.8660432 -1 0 0 -0.4999693 0 -0.8660432 -0.4999693 0 0.8660432 -1 0 0 -0.3829869 0 0.9237539 -0.4999693 0 0.8660432 -0.9237676 0 0.3829539 -0.3829869 0 0.9237539 -1 0 0 -0.9237676 0 0.3829539 -0.9237676 0 -0.3829539 -1 0 0 -0.9237676 0 -0.3829539 0.707095 0.7071186 0 0.5635032 0.8261139 0 0.707095 0.7071186 0 0 0 1 0.5635032 0.8261139 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8316314 0.555328 0 0.8316314 0.555328 0 0 0 -1 0 0 -1 0 0 1 1 0 0 0 -1 0 1 0 0 0 -0.9238747 -0.382695 0 -0.9238747 -0.382695 1 0 0 0 0 -1 0 -1 0 0 0 -1 1 0 0 0.9237228 0.3830615 0 0.9237228 0.3830615 0 0 0 -1 0 0 1 0 0 1 0 0 1 1 0 0 0.980725 0.1953931 0 1 0 0 0.980725 0.1953931 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3826945 -0.923875 0 0 -1 0 -0.3826945 -0.923875 0 0 -1 0.7071061 0.7071074 0 0 0 -1 0.8314862 0.5555455 0 0.8314862 0.5555455 0 0 0 -1 0 1 0 0.7071061 0.7071074 0 0 0 -1 0.3826928 0.9238756 0 0 1 0 0 0 -1 0.9238774 0.3826887 0 0.3826928 0.9238756 0 0 0 -1 1 0 0 1 0 0 0.9238774 0.3826887 0 0 0 -1 0 0.38274 -0.9238561 0 0 -1 0 0 -1 0 0.38274 -0.9238561 1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238774 0.3826887 0 0 0 -1 -0.3826928 0.9238756 0 -0.9238774 0.3826887 0 0 0 -1 0 1 0 -0.3826928 0.9238756 0 0 0 -1 -0.7071061 0.7071074 0 0 1 0 0 0 -1 -0.8314862 0.5555455 0 -0.7071061 0.7071074 0 0 0 -1 -0.9807774 0.1951298 0 -0.8314862 0.5555455 0 -1 0 0 -0.9807774 0.1951298 0 0 0 -1 0 0.3830616 -0.9237229 0 0 -1 0 0.3830616 -0.9237229 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 0.9807774 0.1951298 0 1 0 0 0.9807774 0.1951298 0 0 1 0 0 0 -1 0 1 0 -0.382694 0 -0.9238751 -0.382694 0 -0.9238751 0 1 0 0.382694 0 -0.9238751 0 0 -1 0 1 0 0.9238749 0 -0.3826944 0.382694 0 -0.9238751 1 0 0 1 0 0 0.9238749 0 -0.3826944 0 1 0 0 0.9237223 -0.3830627 0 1 0 0 0.9237223 -0.3830627 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238749 0 -0.3826944 -0.9238749 0 -0.3826944 0 0 1 1 0 0 0.9807774 0.1951298 0 0.9807774 0.1951298 0 0 0 1 0 0.3830616 0.9237229 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3830616 0.9237229 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9807774 0.1951298 0 -1 0 0 -0.8314862 0.5555455 0 -0.9807774 0.1951298 0 -0.7071061 0.7071074 0 -0.8314862 0.5555455 0 0 1 0 -0.7071061 0.7071074 0 -0.3826928 0.9238756 0 0 1 0 -0.9238774 0.3826887 0 -0.3826928 0.9238756 0 -1 0 0 -1 0 0 -0.9238774 0.3826887 0 0 0 1 0 0.38274 0.9238561 0 0 1 0 0.38274 0.9238561 -1 0 0 1 0 0 1 0 0 1 0 0 0.9238774 0.3826887 0 0.3826928 0.9238756 0 0.9238774 0.3826887 0 0 1 0 0.3826928 0.9238756 0 0.7071061 0.7071074 0 0 1 0 0.8314862 0.5555455 0 0.7071061 0.7071074 0 0.8314862 0.5555455 0 0 1 0 0 0 1 0 1 0 0.382694 0 0.9238751 0.382694 0 0.9238751 0 1 0 -0.382694 0 0.9238751 0 0 1 0 1 0 -0.9238749 0 0.3826944 -0.382694 0 0.9238751 -1 0 0 -1 0 0 -0.9238749 0 0.3826944 0 1 0 0 0.9237223 0.3830627 0 1 0 0 0.9237223 0.3830627 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9238749 0 0.3826944 0.9238749 0 0.3826944 -1 0 0 -0.678586 0.2811439 0.6785862 -1 0 0 -0.6785753 -0.281149 0.6785947 -1 0 0 -0.6785874 -0.281137 0.6785876 -1 0 0 -0.67868 0.678553 0.2809969 -0.6785756 0.2811409 0.6785979 -1 0 0 -0.6785377 0.6786743 -0.2810478 -1 0 0 -0.6785141 0.6786507 0.2811616 -1 0 0 -0.6785749 0.2811492 -0.678595 -0.6787028 0.6784897 -0.281095 -1 0 0 -0.678586 -0.2811439 -0.6785862 -0.6785874 0.2811367 -0.6785877 -1 0 0 -0.678681 -0.6785523 -0.2809966 -1 0 0 -1 0 0 -1 0 0 -0.678576 -0.281141 -0.6785973 -1 0 0 -0.6785386 -0.6786736 0.2810475 -1 0 0 -0.6785149 -0.6786499 -0.2811613 -0.6787036 -0.6784889 0.2810946 0 -1 0 0 -0.9238756 0.382693 0 -0.9238756 0.382693 -1 0 0 0 -0.9238765 -0.3826909 0 -1 0 -1 0 0 0 -0.3826881 -0.9238777 0 -0.9238765 -0.3826909 0 0 -1 0 -0.3826881 -0.9238777 -0.9238755 0.3826929 0 -0.9238755 0.3826929 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 -0.3826936 0.9238753 0 0 1 0 -0.3826936 0.9238753 0 1 0 -0.3830627 0.9237223 0 0 1 0 0 0 -1 -0.3830627 0.9237223 0 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 -0.3826925 0.9238758 0 -0.3826925 0.9238758 0 0 0 1 0 0 1 0 0 -1 1 0 0 0.6785857 0.2811453 -0.6785858 1 0 0 0.6785775 -0.2811469 -0.6785935 1 0 0 0.6785874 -0.281137 -0.6785876 1 0 0 0.6786792 0.6785535 -0.2809977 1 0 0 0.6785731 0.2811418 -0.6786 1 0 0 0.6785377 0.6786744 0.2810471 0.6785141 0.6786507 -0.2811616 1 0 0 0.6785771 0.281147 0.6785938 0.6787037 0.6784888 0.2810946 1 0 0 0.6785857 -0.2811453 0.6785858 1 0 0 1 0 0 1 0 0 0.6785874 0.2811367 0.6785877 1 0 0 0.6786801 -0.6785528 0.2809974 0.6785736 -0.2811419 0.6785994 1 0 0 0.6785387 -0.6786737 -0.2810468 1 0 0 0.6785149 -0.6786499 0.2811613 0.6787046 -0.678488 -0.2810942 0 -1 0 0 -0.9238765 -0.3826909 0 -0.9238765 -0.3826909 1 0 0 0 -0.9238756 0.382693 0 -1 0 1 0 0 0 -0.3826936 0.9238753 0 -0.9238756 0.382693 0 0 1 0 -0.3826936 0.9238753 0.9238755 0.3826929 0 0.9238755 0.3826929 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 -0.3826881 -0.9238777 0 0 -1 0 -0.3826881 -0.9238777 0 1 0 0.3830627 0.9237223 0 0 1 0 0 0 1 0.3830627 0.9237223 0 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0.3826925 0.9238758 0 0.3826925 0.9238758 0 0 0 -1 0 0 -1 0 0 1 0 0 1 1 0 0 1 0 0 0 0 -1 1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 -0.2253612 0.9742752 3.84908e-4 0 0 1 -0.01680141 0.9998275 -0.00791347 0.02970421 -6.01288e-5 0.9995587 0.03118211 0 0.9995138 0 0 1 0 0 1 0.09071093 -4.6456e-5 0.9958772 0 0 1 0 0 1 0 0 1 0 0 1 0.01656681 0.9998628 0 -0.02970421 -6.11194e-5 -0.9995588 0.01651233 0.9998636 0 -0.09063655 -4.94954e-5 -0.9958841 0.2253613 0.9742753 0 0 0 -1 0.2253613 0.9742753 0 -0.03120768 0 -0.999513 0 0 1 0 0 1 0 0 1 -0.02960556 0 0.9995616 -0.03108406 -5.98223e-5 0.9995168 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0.9238749 -0.3826948 0 1 0 0 0.9238749 -0.3826948 0 0.9807385 -0.1953251 0 0.9807385 -0.1953251 0 0.7071184 -0.7070951 0 0.8316283 -0.5553327 0 0.7071184 -0.7070951 0 0.5553649 -0.8316067 0 0.571408 -0.820666 4.28802e-4 0.8316283 -0.5553327 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.01662445 -0.9998619 0 0.1948142 -0.9808399 7.06596e-4 0.06554073 -0.99785 1.11557e-4 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9236304 -0.3832845 0 -0.9236304 -0.3832845 0 -1 0 -0.01661068 -0.9998621 0 -0.01667964 -0.9998608 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9236304 0.3832845 0 -0.9236304 0.3832845 -0.7071185 -0.7070952 0 -0.571408 -0.8206661 0 -0.7071185 -0.7070952 0 -0.8316284 -0.5553327 0 -0.8316284 -0.5553327 0 -0.571408 -0.8206661 0 -1 0 0 -1 0 0 -0.9807385 -0.1953251 0 -0.9807385 -0.1953251 0 -0.9238749 -0.3826948 0 -0.9238749 -0.3826948 0 0 0 1 0 0 1 0 -0.3826948 0.9238749 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3826948 0.9238749 0 0 1 0 -0.3831523 0.9236853 0 0 1 0 -0.3831523 0.9236853 0 -1 0 0 -1 0 0 -0.9238747 0.3826952 0 -1 0 0 -0.9238747 0.3826952 0 0 -1 0 0 -1 0 0 -1 0 -0.3831523 -0.9236853 0 0 -1 0 0 -1 0 -0.3831523 -0.9236853 0 0 -1 0 0 -1 0 -0.3826948 -0.9238749 0 0 -1 0 -0.3826948 -0.9238749 0 -1 0 0 -1 0 0 -0.9238747 -0.3826952 0 -1 0 0 -0.9238747 -0.3826952 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9237235 -0.3830603 0 0.9237235 -0.3830603 0 0 -1 0 0.3826952 -0.9238747 0 0 -1 0 0.3830627 -0.9237223 0 0.3830627 -0.9237223 0 0.3826952 -0.9238747 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9237235 -0.3830603 0 -0.9237235 -0.3830603 0 0 -1 0 -0.3826952 -0.9238747 0 0 -1 0 -0.3830627 -0.9237223 0 -0.3830627 -0.9237223 0 -0.3826952 -0.9238747 0 0.2537367 -0.9672733 -3.55644e-4 -0.2537367 -0.9672733 0 -0.2537367 -0.9672733 0 -0.06532371 -0.9978641 0 -0.06559091 -0.9978466 -4.43424e-7 0 0 -1 -1 0 0 0 0 -1 -0.7071068 0.7071068 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071068 -0.7071068 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 -0.7071068 -0.7071068 0 0 0 -1 0 -1 0 0 -1 0 0 0 -1 0.7071068 -0.7071068 0 0 0 -1 0 -1 0 0 0 -1 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7071068 -0.7071068 0 0 0 -1 0.7071068 0.7071068 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 0 0 0 -1 0 1 0 0.7071068 0.7071068 0 0 0 -1 0 1 0 0 1 0 -0.7071068 0.7071068 0 0 1 0 0 0 -1 0.9658601 -0.2590641 0 0 0 -1 0.9658601 0.2590641 5.69804e-5 0 0 -1 0.9659364 0.2587798 0 0 0 -1 0.7067471 -0.7074664 -1.23718e-5 0.9659364 -0.2587798 5.70164e-5 0 0 -1 0.2586854 -0.9659616 3.15061e-5 0.7071068 -0.7071068 8.61138e-5 0 0 -1 -0.2586858 -0.9659615 5.04204e-5 0.2587798 -0.9659364 5.04214e-5 -0.7067471 -0.7074664 8.63006e-5 -0.2587798 -0.9659364 3.15981e-5 -0.9658601 -0.2590641 5.72859e-5 -0.7071068 -0.7071068 -1.20793e-5 -0.9658601 0.2590641 0 -0.9659368 -0.2587782 0 -0.7067471 0.7074664 -1.21482e-5 -0.9659368 0.2587782 5.73213e-5 -0.2586858 0.9659615 3.1588e-5 -0.7071068 0.7071068 8.63425e-5 0 0 -1 0.2586854 0.9659616 5.01148e-5 -0.2587782 0.9659368 5.01165e-5 0 0 -1 0.7067471 0.7074664 8.6077e-5 0.2587782 0.9659368 3.15176e-5 0.7071068 0.7071068 -1.2308e-5 0 0 -1 0.9658601 -0.2590641 0 0 0 -1 0.9658601 0.2590641 5.69804e-5 0.9659364 0.2587798 0 0 0 -1 0.7067471 -0.7074664 -1.23718e-5 0.9659364 -0.2587798 5.70164e-5 0 0 -1 0.2586854 -0.9659616 3.15061e-5 0.7071068 -0.7071068 8.61138e-5 -0.2586858 -0.9659615 5.01148e-5 0.2587782 -0.9659368 5.01165e-5 -0.7067471 -0.7074664 8.63006e-5 -0.2587782 -0.9659368 3.15981e-5 -0.9658601 -0.2590641 5.72859e-5 -0.7071068 -0.7071068 -1.20793e-5 0 0 -1 -0.9658601 0.2590641 0 -0.9659368 -0.2587782 0 0 0 -1 -0.7067471 0.7074664 -1.21482e-5 -0.9659368 0.2587782 5.73213e-5 0 0 -1 -0.2586858 0.9659615 3.1588e-5 -0.7071068 0.7071068 8.63425e-5 0 0 -1 0.2586854 0.9659616 5.04204e-5 0 0 -1 -0.2587798 0.9659364 5.04214e-5 0 0 -1 0.7067471 0.7074664 8.6077e-5 0 0 -1 0.2587798 0.9659364 3.15176e-5 0.7071068 0.7071068 -1.2308e-5 0 0 -1 0.9658601 -0.2590641 0 0.9658601 0.2590641 2.40961e-5 0.9659367 0.2587782 0 0 0 -1 0.706747 -0.7074663 -5.1099e-6 0.9659367 -0.2587782 2.4111e-5 0 0 -1 0.2586858 -0.9659615 1.32868e-5 0.7071068 -0.7071068 3.63182e-5 0 0 -1 -0.2586854 -0.9659616 2.12083e-5 0 0 -1 0.2587797 -0.9659363 2.12087e-5 0 0 -1 -0.706747 -0.7074663 3.62065e-5 0 0 -1 -0.2587797 -0.9659363 1.32572e-5 0 0 -1 -0.9658601 -0.2590641 2.39676e-5 -0.7071068 -0.7071068 -5.17711e-6 0 0 -1 -0.9658601 0.2590641 0 -0.9659363 -0.2587797 0 0 0 -1 -0.706747 0.7074663 -5.20394e-6 -0.9659363 0.2587797 2.39827e-5 0 0 -1 -0.2586854 0.9659616 1.32524e-5 -0.7071068 0.7071068 3.6222e-5 0.2586858 0.9659615 2.10797e-5 -0.2587782 0.9659367 2.10804e-5 0.706747 0.7074663 3.63005e-5 0.2587782 0.9659367 1.32911e-5 0.7071068 0.7071068 -5.08091e-6 0 0 -1 -0.2590641 -0.9658601 0 0.2590641 -0.9658601 2.40961e-5 0.2587782 -0.9659367 0 0 0 -1 -0.7074663 -0.706747 -5.1099e-6 -0.2587782 -0.9659367 2.4111e-5 0 0 -1 -0.9659615 -0.2586858 1.32868e-5 -0.7071068 -0.7071068 3.63182e-5 0 0 -1 -0.9659616 0.2586854 2.12083e-5 0 0 -1 -0.9659363 -0.2587797 2.12087e-5 0 0 -1 -0.7074663 0.706747 3.62065e-5 -0.9659363 0.2587797 1.32572e-5 0 0 -1 -0.2590641 0.9658601 2.39676e-5 -0.7071068 0.7071068 -5.17711e-6 0 0 -1 0.2590641 0.9658601 0 -0.2587797 0.9659363 0 0.7074663 0.706747 -5.20394e-6 0.2587797 0.9659363 2.39827e-5 0.9659616 0.2586854 1.32524e-5 0.7071068 0.7071068 3.6222e-5 0.9659615 -0.2586858 2.10797e-5 0.9659367 0.2587782 2.10804e-5 0.7074663 -0.706747 3.63005e-5 0.9659367 -0.2587782 1.32911e-5 0.7071068 -0.7071068 -5.08091e-6 0.701672 -0.1237441 -0.701672 0.7018149 0.1237694 -0.7015247 0.701674 0.1237221 -0.701674 0.6171251 -0.3562675 -0.7015912 0.7018206 -0.123748 -0.7015228 0.4580408 -0.5458858 -0.7015749 0.6169952 -0.3562163 -0.7017314 0.2437076 -0.6695438 -0.7016537 0.4580978 -0.5459363 -0.7014984 0 -0.7126434 -0.7015264 0.2436732 -0.6694805 -0.701726 -0.2436833 -0.6694778 -0.701725 0 -0.7126435 -0.7015264 -0.4580886 -0.5459427 -0.7014994 -0.2436977 -0.6695484 -0.7016527 -0.6170225 -0.3562082 -0.7017115 -0.4580634 -0.5459017 -0.7015478 -0.7018149 -0.1237694 -0.7015247 -0.6171175 -0.3562838 -0.7015896 -0.701672 0.1237441 -0.701672 -0.701674 -0.1237221 -0.701674 -0.6171251 0.3562675 -0.7015912 -0.7018207 0.123748 -0.7015228 -0.4580408 0.5458858 -0.7015749 -0.6169952 0.3562163 -0.7017314 -0.2437076 0.6695438 -0.7016537 -0.4580978 0.5459363 -0.7014984 0 0.7126434 -0.7015264 -0.2436732 0.6694805 -0.701726 0.2436833 0.6694778 -0.701725 0 0.7126435 -0.7015264 0.4580886 0.5459427 -0.7014994 0.2436977 0.6695484 -0.7016527 0.6170225 0.3562082 -0.7017115 0.4580634 0.5459017 -0.7015478 0.6171175 0.3562838 -0.7015896 0 0 1 0.6785887 0.2811328 0.6785882 0 0 1 0.700716 -0.2903 0.6517078 0.6947508 -0.1861275 0.6947502 0 0 1 0.2903 0.700716 0.6517078 0 0 1 0.4919574 0.4919574 0.7183007 0.7651834 0.2049969 0.6103038 0 0 1 -0.2811327 0.6785884 0.6785884 0 0 1 0 0 1 0 0 1 0.1861264 0.6947507 0.6947507 0 0 1 -0.700716 0.2903 0.6517078 -0.4919574 0.4919574 0.7183007 -0.2049958 0.7651841 0.6103032 0 0 1 -0.6785884 -0.2811327 0.6785884 0 0 1 -0.6947507 0.1861264 0.6947507 0 0 1 -0.2903 -0.700716 0.6517078 -0.7651841 -0.2049958 0.6103031 -0.4919574 -0.4919574 0.7183007 0 0 1 0.2811328 -0.6785887 0.6785882 0 0 1 0 0 1 0 0 1 0 0 1 -0.1861275 -0.6947508 0.6947502 0.4919574 -0.4919574 0.7183007 0.2049969 -0.7651834 0.6103038 0 0 1 0.6785887 0.2811328 0.6785882 0 0 1 0.700716 -0.2903 0.6517078 0 0 1 0.6947508 -0.1861275 0.6947502 0 0 1 0.2903 0.700716 0.6517078 0.7651834 0.2049969 0.6103038 0.4919574 0.4919574 0.7183007 0 0 1 -0.2811328 0.6785887 0.6785882 0 0 1 0.1861275 0.6947508 0.6947502 0 0 1 -0.700716 0.2903 0.6517078 0 0 1 -0.4919574 0.4919574 0.7183007 -0.2049969 0.7651834 0.6103038 0 0 1 -0.6785884 -0.2811327 0.6785884 -0.6947507 0.1861264 0.6947507 0 0 1 -0.2903 -0.700716 0.6517078 0 0 1 -0.4919574 -0.4919574 0.7183007 -0.7651841 -0.2049958 0.6103032 0 0 1 0.2811327 -0.6785884 0.6785884 0 0 1 -0.1861264 -0.6947507 0.6947507 0 0 1 0.4919574 -0.4919574 0.7183007 0.2049958 -0.7651841 0.6103032 0 0 1 1 0 0 0 0 1 0 -1 0 0 0 1 0.9725072 0.2328729 0 1 0 0 0 0 1 0.7615708 0.6480818 0 0 0 1 0.9725072 0.2328729 0 0 0 1 0.7302778 0.6831502 0 0.7615708 0.6480818 0 0 0 1 0.9301188 0.367259 7.96962e-5 0 0 1 0.9300894 0.3673334 -5.8533e-5 0.7302766 0.6831517 3.40533e-6 0 0 1 1 0 -5.00222e-5 0 0 1 0 0 1 0.9301188 -0.367259 7.97122e-5 0 0 1 1 0 -5.00222e-5 0 0 1 0.7302778 -0.6831502 3.40499e-6 0 0 1 0.9300894 -0.3673334 -5.8533e-5 0 0 1 0.7615708 -0.6480818 0 0 0 1 0.7302766 -0.6831517 0 0 0 1 0.9725072 -0.2328729 0 0.7615708 -0.6480818 0 0 0 1 1 0 0 0 0 1 0.9725072 -0.2328729 0 0 0 1 1 0 0 0 0 1 -0.7002125 -0.1393013 0.7002125 -0.7003795 0.1393345 0.7000389 -0.7002151 0.1392756 0.7002151 -0.5935645 -0.3966262 0.7002635 -0.7003869 -0.1393098 0.7000363 -0.3967189 -0.5936795 0.7001135 -0.5937021 -0.3966913 0.70011 -0.1393447 -0.7003836 0.7000327 -0.396632 -0.5935837 0.7002438 0.1393105 -0.7002116 0.7002116 -0.139284 -0.7002142 0.7002142 0.3966489 -0.5935747 0.7002421 0.1393193 -0.7003913 0.7000301 0.5936878 -0.3967086 0.7001121 0.3967041 -0.5936916 0.7001116 0.7003795 -0.1393345 0.7000389 0.5935751 -0.3966063 0.7002657 0.7002125 0.1393013 0.7002125 0.7002151 -0.1392756 0.7002151 0.5935645 0.3966262 0.7002635 0.7003869 0.1393098 0.7000364 0.3967189 0.5936795 0.7001135 0.5937021 0.3966913 0.70011 0.1393447 0.7003836 0.7000327 0.396632 0.5935837 0.7002438 -0.1393105 0.7002116 0.7002116 0.139284 0.7002142 0.7002142 -0.3966489 0.5935747 0.7002421 -0.1393193 0.7003913 0.7000301 -0.5936878 0.3967086 0.7001121 -0.3967041 0.5936916 0.7001116 -0.5935751 0.3966063 0.7002657 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9807869 -0.1950825 0 0.9807869 -0.1950825 0 0.9807869 0.1950825 0 0.8314747 -0.5555627 0 0.8314747 -0.5555627 0 0.5555819 -0.8314618 0 0.5555819 -0.8314618 0 0.1950941 -0.9807846 0 0.1950941 -0.9807846 0 -0.1950941 -0.9807846 0 -0.1950941 -0.9807846 0 -0.5555819 -0.8314618 0 -0.5555819 -0.8314618 0 -0.8314747 -0.5555627 0 -0.8314747 -0.5555627 0 -0.9807869 -0.1950825 0 -0.9807869 -0.1950825 0 -0.9807869 0.1950825 0 -0.9807869 0.1950825 0 -0.7002151 -0.1392756 -0.7002151 -0.7003869 0.1393098 -0.7000363 -0.7002125 0.1393013 -0.7002125 -0.5935751 -0.3966063 -0.7002657 -0.7003795 -0.1393345 -0.7000389 -0.3967041 -0.5936916 -0.7001116 -0.5936878 -0.3967086 -0.7001122 -0.1393193 -0.7003914 -0.7000301 -0.3966489 -0.5935747 -0.7002421 0.139284 -0.7002142 -0.7002142 -0.1393104 -0.7002116 -0.7002116 0.396632 -0.5935837 -0.7002438 0.1393447 -0.7003836 -0.7000327 0.5937021 -0.3966913 -0.7001099 0.3967189 -0.5936795 -0.7001135 0.7003869 -0.1393098 -0.7000363 0.5935645 -0.3966262 -0.7002635 0.9807869 0.1950825 0 0.7002151 0.1392756 -0.7002151 0.7002125 -0.1393013 -0.7002125 -0.8314747 0.5555627 0 -0.8314747 0.5555627 0 -0.5555819 0.8314618 0 -0.5555819 0.8314618 0 -0.1950941 0.9807846 0 -0.1950941 0.9807846 0 0.1950941 0.9807846 0 0.1950941 0.9807846 0 0.5555819 0.8314618 0 0.5555819 0.8314618 0 0.8314747 0.5555627 0 0.8314747 0.5555627 0 0.5935751 0.3966063 -0.7002657 0.7003795 0.1393345 -0.7000389 0.3967041 0.5936916 -0.7001116 0.5936878 0.3967086 -0.7001122 0.1393193 0.7003914 -0.7000301 0.3966489 0.5935747 -0.7002421 -0.139284 0.7002142 -0.7002142 0.1393104 0.7002116 -0.7002116 -0.396632 0.5935837 -0.7002438 -0.1393447 0.7003836 -0.7000327 -0.5937021 0.3966913 -0.7001099 -0.3967189 0.5936795 -0.7001135 -0.5935645 0.3966262 -0.7002635 0 0 -1 0.9951815 0.09805035 0 0 0 -1 0.9603022 -0.0946139 0.2624266 0 0 -1 0.9848082 -0.1736456 0 0 0 -1 0.9563831 0.290099 -0.03426122 0.9734086 0.1716356 0.1517128 0 0 -1 0.8806593 0.4707115 0.05357068 0 0 -1 0 0 -1 0.7720744 0.6336493 -0.04888415 0.8583551 0.4955588 0.132846 0 0 -1 0.6293918 0.7668868 0.1255018 0 0 -1 0 0 -1 0.470934 0.8810756 -0.0438987 0 0 -1 0.6399096 0.7626187 0.09449058 0 0 -1 0.2835627 0.9348348 0.213719 0 0 -1 0 0 -1 0 0 -1 0.09803152 0.9949905 -0.01958596 0.3417969 0.9390712 0.03633236 -0.09803152 0.9949905 -0.0195862 0 0.9880456 0.1541618 -0.290184 0.9566636 0.02425396 0 0 -1 -0.470934 0.8810756 -0.0438987 0 0 -1 -0.3384258 0.9298085 0.1446518 0 0 -1 -0.6319836 0.7700448 0.08733606 0 0 -1 0 0 -1 -0.7720751 0.6336498 -0.04886704 -0.638446 0.7608653 0.1160637 0 0 -1 -0.8693999 0.4646934 0.1679399 0 0 -1 0 0 -1 -0.9563831 0.290099 -0.03426122 -0.8640224 0.4988352 0.06803536 0 0 -1 -0.9603022 0.0946139 0.2624266 0 0 -1 0 0 -1 -0.9951815 -0.09805035 0 0 0 -1 -0.9848082 0.1736456 0 0 0 -1 -0.9563831 -0.290099 -0.03426122 -0.9734086 -0.1716356 0.1517128 0 0 -1 -0.8806593 -0.4707115 0.05357068 0 0 -1 0 0 -1 -0.7720744 -0.6336493 -0.04888415 -0.8583551 -0.4955588 0.132846 0 0 -1 -0.6293918 -0.7668868 0.1255018 0 0 -1 0 0 -1 -0.470934 -0.8810756 -0.0438987 0 0 -1 -0.6399096 -0.7626187 0.09449058 0 0 -1 -0.2835627 -0.9348348 0.213719 0 0 -1 0 0 -1 0 0 -1 -0.09803152 -0.9949905 -0.01958596 -0.3417969 -0.9390712 0.03633236 0.09803152 -0.9949905 -0.0195862 0 -0.9880456 0.1541618 0.290184 -0.9566636 0.02425396 0 0 -1 0.470934 -0.8810756 -0.0438987 0 0 -1 0.3384258 -0.9298085 0.1446518 0 0 -1 0.6319836 -0.7700448 0.08733606 0 0 -1 0 0 -1 0.7720751 -0.6336498 -0.04886704 0.638446 -0.7608653 0.1160637 0 0 -1 0.8693999 -0.4646934 0.1679399 0 0 -1 0 0 -1 0.9563831 -0.290099 -0.03426122 0.8640224 -0.4988352 0.06803536 0 0 -1 0.6785836 0.281151 0.6785857 0.699947 -0.2899929 0.6526701 0.6947496 -0.1861261 0.6947518 0.2900024 0.6999471 0.6526659 0.4922409 0.4922409 0.7179121 0.7639831 0.204674 0.6119136 0 0 1 -0.2811427 0.6785852 0.6785874 0.1861261 0.6947496 0.6947518 0 0 1 -0.6999469 0.2899798 0.6526761 -0.4922333 0.4922333 0.7179225 -0.2046729 0.763979 0.6119192 0 0 1 -0.6785897 -0.2811227 0.6785913 0 0 1 0 0 1 -0.6947498 0.1861274 0.6947514 0 0 1 -0.2899704 -0.6999468 0.6526803 0 0 1 -0.7639626 -0.2046698 0.6119407 -0.4922257 -0.4922257 0.7179329 0 0 1 0.281131 -0.678588 0.6785896 -0.1861274 -0.6947498 0.6947514 0.4922333 -0.4922333 0.7179225 0.2046709 -0.7639669 0.6119351 0.281151 -0.6785836 0.6785857 -0.2899929 -0.699947 0.6526701 -0.1861261 -0.6947496 0.6947518 0.6999471 -0.2900024 0.6526659 0.4922409 -0.4922409 0.7179121 0.204674 -0.7639831 0.6119136 0 0 1 0.6785852 0.2811427 0.6785874 0.6947496 -0.1861261 0.6947518 0 0 1 0.2899798 0.6999469 0.6526761 0.4922333 0.4922333 0.7179225 0.763979 0.2046729 0.6119192 0 0 1 -0.2811227 0.6785897 0.6785913 0 0 1 0 0 1 0.1861274 0.6947498 0.6947514 0 0 1 -0.6999468 0.2899704 0.6526803 0 0 1 -0.2046698 0.7639626 0.6119407 -0.4922257 0.4922257 0.7179329 0 0 1 -0.678588 -0.281131 0.6785896 0 0 1 -0.6947498 0.1861274 0.6947514 -0.4922333 -0.4922333 0.7179225 -0.7639669 -0.2046709 0.6119351 0.7071068 -0.7071068 0 0 0 1 0.7071068 -0.7071068 0 -0.707113 -0.7071005 0 0.7071003 0.7071133 0 0 0 1 0.7071003 0.7071133 0 0 0 -1 -0.707113 -0.7071005 0 0 0 -1 -0.7071067 0.707107 0 -0.7071067 0.707107 0 0 0 1 -0.9130644 -0.4078155 0 0 0 1 -0.9946376 0.1034207 -2.66002e-5 0 0 1 -0.9946417 0.1033824 0 0 0 1 -0.586253 -0.8088558 -0.04538309 -0.8486038 -0.5213675 0.08970767 0 0 1 -0.1025157 -0.9859344 0.1319999 0 0 1 0 0 1 0.4078155 -0.9130644 1.08799e-6 0 0 1 -0.2323291 -0.9726372 -6.19521e-7 0 0 1 0.8088558 -0.586253 -0.04538309 0.5213663 -0.8486045 0.08970808 0 0 1 0.9859344 -0.1025157 0.1319999 0 0 1 0 0 1 0.9130644 0.4078155 0 0 0 1 0.9726372 -0.2323285 0 0 0 1 0.5868576 0.8096901 3.62583e-6 0.9130798 0.4077808 -2.61846e-5 0 0 1 0.1034207 0.9946376 -2.66002e-5 0 0 1 0.5868574 0.8096902 3.8203e-6 0 0 1 -0.4078155 0.9130644 0 0 0 1 0.1033824 0.9946417 0 0 0 1 -0.8096901 0.5868576 3.62583e-6 -0.4077808 0.9130798 -2.61846e-5 0 0 1 -0.8096902 0.5868574 3.8203e-6 -0.7144088 0.1706653 0.6785966 -0.625688 -0.3844293 0.6787701 -0.625831 -0.3844966 0.6786 -0.3845329 0.6259157 0.6785014 -0.7142509 0.1706084 0.6787772 0.1706194 0.7143573 0.6786625 -0.3844704 0.6257828 0.6786592 0.625688 0.3844293 0.6787701 0.1706722 0.714504 0.6784947 0.7144088 -0.1706653 0.6785966 0.625831 0.3844966 0.6786 0.3845329 -0.6259157 0.6785014 0.7142509 -0.1706084 0.6787772 -0.1706194 -0.7143573 0.6786625 0.3844704 -0.6257828 0.6786592 -0.1706722 -0.714504 0.6784947 0 0 -1 0.8096831 -0.5868673 0 0 0 -1 0.586845 0.8096992 7.92018e-6 0 0 -1 0.904215 0.4270775 0 0.5479832 0.8331874 0.074252 0.1864858 0.9683172 0.1660867 -0.03252094 0.9749143 0.2201919 0 0 -1 -0.5868472 -0.8096978 0 0 0 -1 0 0 -1 0.8096831 -0.5868673 0 0 0 -1 -0.8096808 0.5868706 0 -0.5868472 -0.8096978 0 0 0 -1 0 0 -1 -0.7697098 0.6361392 0.05360788 -0.4697834 0.8826946 0.01239728 -0.9774802 0.1226398 0.1717323 -0.2638213 0.9645716 7.24496e-6 0 0 -1 -0.8096831 0.5868673 0 0 0 -1 -0.586845 -0.8096992 5.91868e-6 0 0 -1 -0.904215 -0.4270775 0 -0.5479832 -0.8331874 0.074252 -0.08333808 -0.9789066 0.1865389 0 0 -1 0.5868472 0.8096978 0 0 0 -1 0 0 -1 -0.8096831 0.5868673 0 0 0 -1 0.8096808 -0.5868706 0 0.5868472 0.8096978 0 0 0 -1 0 0 -1 0.7697053 -0.6361447 0.05360621 0.3687973 -0.9295098 7.98026e-6 0.9774802 -0.1226398 0.1717323 -0.6258271 -0.3845002 -0.6786016 -0.7143806 0.1706452 -0.6786314 -0.7144073 0.1706454 -0.6786032 -0.1706489 -0.7143629 -0.6786491 -0.625815 -0.3844884 -0.6786194 0.3845082 -0.625824 -0.6785998 -0.1706494 -0.7144072 -0.6786024 0.7143806 -0.1706452 -0.6786314 0.3844704 -0.6257853 -0.678657 0.6258271 0.3845002 -0.6786016 0.7144073 -0.1706454 -0.6786032 0.1706489 0.7143629 -0.6786491 0.625815 0.3844884 -0.6786193 -0.3845082 0.625824 -0.6785998 0.1706494 0.7144072 -0.6786024 -0.3844704 0.6257853 -0.678657 -0.8520411 -0.523475 -6.81936e-6 -0.8520401 -0.5234766 0 -0.9726376 0.2323276 0 -0.2323318 -0.9726366 0 -0.2323323 -0.9726364 -1.81322e-6 0.5234784 -0.852039 6.81935e-6 0.5234768 -0.85204 0 0.9726376 -0.2323276 0 0.9726378 -0.2323271 1.88878e-6 0.8520401 0.5234766 0 0.8520411 0.523475 -6.81936e-6 -0.9726378 0.2323271 1.88878e-6 0.2323318 0.9726366 0 0.2323323 0.9726364 -1.81322e-6 -0.5234784 0.852039 6.81935e-6 -0.5234768 0.85204 0 0 0 1 -0.33945 0.5581672 0.757115 -0.2991445 0.8889454 0.3468264 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.1866939 0.5091019 0.8402146 0.08438724 0.8118899 0.5776796 -0.05586045 0.7060139 0.7059915 0 0 1 0.5020714 0.2828147 0.817276 0.4841307 0.6679578 0.5651989 0.7154144 -0.1424429 0.6840265 0.6567392 0.2932993 0.6947439 0 0 1 0.3999627 -0.5103691 0.7612839 0 0 1 0.8017818 -0.1915172 0.566098 0.4575597 -0.8878017 0.04947072 0 0 1 0 0 1 0 0 1 -0.2076848 -0.8745355 0.4382404 0.01739543 -0.7386074 0.6739116 0 0 1 -0.4094319 -0.4831898 0.7738818 0 0 1 -0.2094643 -0.8769144 0.4326034 0 0 1 -0.9018864 -0.3757601 -0.2130854 -0.7147825 0.05609083 0.6970939 -0.625799 -0.3844801 0.6786389 -0.5792617 0.3562549 0.73317 -0.7543036 0.07840174 0.6518276 -0.6398949 0.463791 0.6127254 0.4406735 -0.7172644 0.5397579 0.1378625 -0.6937971 0.706852 0.08500427 -0.702234 0.7068533 -0.293299 0.6567385 0.6947446 -1 0 0 -0.6786016 -0.2810656 0.6786029 -1 0 0 -1 0 0 -0.6785384 0.281088 0.678657 -0.6785964 0.2810911 0.6785977 -1 0 0 -0.6785864 -0.6786052 0.2810968 -0.6785435 -0.2811097 0.6786427 -0.6785947 -0.6785982 -0.2810938 -0.6785939 -0.6785975 0.2810972 -0.6785384 -0.281088 -0.678657 -0.6785872 -0.6786034 -0.2810996 -1 0 0 -0.6786018 0.2810655 -0.6786027 -0.6785965 -0.281091 -0.6785974 -1 0 0 -0.6785861 0.6786063 -0.2810952 -0.6785436 0.2811098 -0.6786426 -0.678595 0.6785985 0.2810921 -0.6785944 0.6785978 -0.2810956 -0.6785868 0.6786042 0.2810983 0 0.3826913 -0.9238762 0 -0.3826966 -0.923874 1.98744e-6 -0.3826913 -0.9238762 8.23369e-7 0.9238742 -0.3826965 1.98744e-6 0.3826966 -0.923874 0 0.9238742 0.3826965 0 0.9238733 -0.3826986 1.98771e-6 0.3826913 0.9238763 8.12377e-7 0.9238732 0.3826987 0 0.3826966 0.9238741 0 -0.3826913 0.9238763 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1.98771e-6 -0.3826966 0.9238741 1 0 0 1 0 0 8.23377e-7 -0.9238725 -0.3827006 1 0 0 1 0 0 0 -0.9238724 0.3827007 0 -0.9238733 -0.3826984 1 0 0 8.23373e-7 -0.9238733 0.3826985 0 0 1 0 0.8660222 0.5000056 0 0 1 0 -0.8660211 0.5000075 0 -0.8660211 0.5000075 0 -0.8660211 -0.5000075 0 -0.8660211 -0.5000075 0 0 -1 0 0 -1 0 0.8660222 -0.5000056 0 0.8660222 -0.5000056 0 0.8660222 0.5000056 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6786018 0.2810655 0.6786027 1 0 0 1 0 0 0.6785384 -0.281088 0.678657 0.6785966 -0.2810911 0.6785975 1 0 0 0.6785861 0.6786063 0.2810952 0.6785436 0.2811098 0.6786426 0.678595 0.6785985 -0.2810921 0.6785944 0.6785978 0.2810956 0.6785384 0.281088 -0.678657 0.6785868 0.6786042 -0.2810983 1 0 0 0.6786016 -0.2810656 -0.6786029 0.6785964 0.2810911 -0.6785977 1 0 0 0.6785864 -0.6786052 -0.2810968 0.6785435 -0.2811097 -0.6786427 0.6785947 -0.6785982 0.2810938 0.6785939 -0.6785975 -0.2810972 0.6785872 -0.6786034 0.2810996 0 -0.3826913 -0.9238763 0 0.3826966 -0.9238741 -1.98744e-6 0.3826913 -0.9238763 -8.23373e-7 -0.9238733 -0.3826985 -1.98744e-6 -0.3826966 -0.9238741 0 -0.9238733 0.3826984 0 -0.9238724 -0.3827007 -1.98771e-6 -0.3826913 0.9238762 -8.26883e-7 -0.9238725 0.3827006 0 -0.3826966 0.923874 0 0.3826913 0.9238762 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.98771e-6 0.3826966 0.923874 -1 0 0 -1 0 0 -8.23373e-7 0.9238732 -0.3826987 -1 0 0 -1 0 0 0 0.9238733 0.3826986 0 0.9238742 -0.3826965 -1 0 0 -8.23369e-7 0.9238742 0.3826965 0 0 1 0 -0.8660211 0.5000075 0 0 1 0 0.8660222 0.5000056 0 0.8660222 0.5000056 0 0.8660222 -0.5000056 0 0.8660222 -0.5000056 0 0 -1 0 0 -1 0 -0.8660211 -0.5000075 0 -0.8660211 -0.5000075 0 -0.8660211 0.5000075 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0.9946412 -0.1033873 0 0 0 1 0.9130743 0.4077934 1.6044e-4 0 0 1 0 0 1 0.9130818 0.4077764 0 0 0 1 0.8096866 -0.5868627 -3.82078e-5 0 0 1 0 0 1 0.9946445 -0.1033547 2.82553e-4 0 0 1 0.4078059 -0.9130686 3.23216e-4 0.8096911 -0.5868564 2.84855e-5 -0.1034237 -0.9946374 0 0.4077717 -0.9130839 0 -0.5868449 -0.8096994 1.0132e-4 -0.1033856 -0.9946413 3.30379e-4 0 0 1 -0.9130745 -0.4077928 1.54904e-4 0 0 1 -0.5868639 -0.8096857 -1.01097e-4 0 0 1 -0.9946413 0.1033859 0 0 0 1 0 0 1 -0.9130818 -0.4077764 0 0 0 1 -0.8096862 0.5868631 -4.31176e-5 0 0 1 0 0 1 -0.9946447 0.103354 2.76549e-4 0 0 1 -0.4078059 0.9130686 3.20743e-4 -0.8096907 0.5868568 2.34586e-5 0.1034237 0.9946374 0 -0.407772 0.9130837 0 0.5868449 0.8096994 9.7762e-5 0.1033857 0.9946413 3.29751e-4 0 0 1 0.5868632 0.8096861 -9.77455e-5 -0.9875096 -0.1575586 0 -0.6302112 0.7764237 0 -0.9875096 -0.1575586 0 -0.3572974 -0.9339906 0 -0.3572974 -0.9339906 0 0.6302112 -0.7764237 0 0.6302112 -0.7764237 0 0.9875095 0.1575596 0 0.9875095 0.1575596 0 0.3572978 0.9339904 0 0.3572978 0.9339904 0 -0.6302112 0.7764237 0 -0.7154099 0.07433861 -0.6947393 -0.5869203 -0.4764154 -0.6546394 -0.5774809 -0.2578992 -0.7745992 -0.5120923 0.37116 -0.7745977 -0.2932907 0.6567371 -0.6947496 -0.706012 0.2701012 -0.6546697 0.06538689 0.6290668 -0.7745963 0.4221016 0.5823671 -0.694751 -0.1191139 0.7464874 -0.6546514 0.5774807 0.2578991 -0.7745994 0.5869202 0.4764158 -0.6546394 0.7154098 -0.07433915 -0.6947392 -0.9339833 0.3573169 0 -0.7764365 -0.6301955 0 -0.77641 -0.6302281 4.37287e-5 -0.1575724 0.9875074 -4.28289e-5 -0.9339904 0.357298 2.10707e-5 0.7764097 0.6302286 4.37126e-5 -0.1575694 0.9875079 -4.60562e-5 0.7764362 0.6301959 0 0.933983 -0.3573175 0 0.5120928 -0.3711599 -0.7745976 0.7060114 -0.2701016 -0.6546701 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9339904 -0.357298 2.17686e-5 0 0 -1 0.9726243 -0.232383 0 0.8520246 0.5235018 0 0.8520246 0.5235018 0 0 0 -1 0.523507 -0.8520215 0 0.9726243 -0.232383 0 0 0 -1 -0.2323539 -0.9726313 0 0 0 -1 0.523507 -0.8520215 0 -0.8520246 -0.5235018 0 -0.2323539 -0.9726313 0 -0.9726246 0.2323819 0 -0.8520246 -0.5235018 0 -0.523507 0.8520215 0 -0.9726246 0.2323819 0 0.2323537 0.9726314 0 -0.523507 0.8520215 0 0.2323537 0.9726314 0 0.1575692 -0.9875079 -4.60682e-5 0.1575724 -0.9875074 -4.27094e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2932905 -0.6567371 -0.6947497 -0.06538689 -0.6290669 -0.7745963 -0.422102 -0.5823666 -0.694751 0.1191139 -0.7464875 -0.6546514 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.1033873 0.9946412 0 0 0 1 -0.4077934 0.9130743 1.6044e-4 0 0 1 0 0 1 -0.4077764 0.9130818 0 0 0 1 0.5868627 0.8096866 -3.82078e-5 0 0 1 0 0 1 0.1033547 0.9946445 2.82553e-4 0 0 1 0.9130686 0.4078059 3.23216e-4 0.5868564 0.8096911 2.84855e-5 0.9946374 -0.1034237 0 0.9130839 0.4077717 0 0.8096994 -0.5868449 1.0132e-4 0.9946413 -0.1033856 3.30379e-4 0 0 1 0.4077928 -0.9130745 1.54904e-4 0 0 1 0.8096857 -0.5868639 -1.01097e-4 0 0 1 -0.1033859 -0.9946413 0 0 0 1 0 0 1 0.4077764 -0.9130818 0 0 0 1 -0.5868631 -0.8096862 -4.31176e-5 0 0 1 0 0 1 -0.103354 -0.9946447 2.76549e-4 0 0 1 -0.9130686 -0.4078059 3.20743e-4 -0.5868568 -0.8096907 2.34586e-5 -0.9946374 0.1034237 0 -0.9130837 -0.407772 0 -0.8096994 0.5868449 9.7762e-5 -0.9946413 0.1033857 3.29751e-4 0 0 1 -0.8096861 0.5868632 -9.77455e-5 0.1575586 -0.9875096 0 -0.7764237 -0.6302112 0 0.1575586 -0.9875096 0 0.9339906 -0.3572974 0 0.9339906 -0.3572974 0 0.7764237 0.6302112 0 0.7764237 0.6302112 0 -0.1575596 0.9875095 0 -0.1575596 0.9875095 0 -0.9339904 0.3572978 0 -0.9339904 0.3572978 0 -0.7764237 -0.6302112 0 -0.07433861 -0.7154099 -0.6947393 0.4764154 -0.5869203 -0.6546394 0.2578992 -0.5774809 -0.7745992 -0.37116 -0.5120923 -0.7745977 -0.6567371 -0.2932907 -0.6947496 -0.2701012 -0.706012 -0.6546697 -0.6290668 0.06538689 -0.7745963 -0.5823671 0.4221016 -0.694751 -0.7464874 -0.1191139 -0.6546514 -0.2578991 0.5774807 -0.7745994 -0.4764158 0.5869202 -0.6546394 0.07433915 0.7154098 -0.6947392 -0.3573169 -0.9339833 0 0.6301955 -0.7764365 0 0.6302281 -0.77641 4.37287e-5 -0.9875074 -0.1575724 -4.28289e-5 -0.357298 -0.9339904 2.10707e-5 -0.6302286 0.7764097 4.37126e-5 -0.9875079 -0.1575694 -4.60562e-5 -0.6301959 0.7764362 0 0.3573175 0.933983 0 0.3711599 0.5120928 -0.7745976 0.2701016 0.7060114 -0.6546701 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.357298 0.9339904 2.17686e-5 0 0 -1 0.232383 0.9726243 0 -0.5235018 0.8520246 0 -0.5235018 0.8520246 0 0 0 -1 0.8520215 0.523507 0 0.232383 0.9726243 0 0 0 -1 0.9726313 -0.2323539 0 0 0 -1 0.8520215 0.523507 0 0.5235018 -0.8520246 0 0.9726313 -0.2323539 0 -0.2323819 -0.9726246 0 0.5235018 -0.8520246 0 -0.8520215 -0.523507 0 -0.2323819 -0.9726246 0 -0.9726314 0.2323537 0 -0.8520215 -0.523507 0 -0.9726314 0.2323537 0 0.9875079 0.1575692 -4.60682e-5 0.9875074 0.1575724 -4.27094e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6567371 0.2932905 -0.6947497 0.6290669 -0.06538689 -0.7745963 0.5823666 -0.422102 -0.694751 0.7464875 0.1191139 -0.6546514 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9946412 0.1033873 0 0 0 1 -0.9130743 -0.4077934 1.6044e-4 0 0 1 0 0 1 -0.9130818 -0.4077764 0 0 0 1 -0.8096866 0.5868627 -3.82078e-5 0 0 1 0 0 1 -0.9946445 0.1033547 2.82553e-4 0 0 1 -0.4078059 0.9130686 3.23216e-4 -0.8096911 0.5868564 2.84855e-5 0.1034237 0.9946374 0 -0.4077717 0.9130839 0 0.5868449 0.8096994 1.0132e-4 0.1033856 0.9946413 3.30379e-4 0 0 1 0.9130745 0.4077928 1.54904e-4 0 0 1 0.5868639 0.8096857 -1.01097e-4 0 0 1 0.9946413 -0.1033859 0 0 0 1 0 0 1 0.9130818 0.4077764 0 0 0 1 0.8096862 -0.5868631 -4.31176e-5 0 0 1 0 0 1 0.9946447 -0.103354 2.76549e-4 0 0 1 0.4078059 -0.9130686 3.20743e-4 0.8096907 -0.5868568 2.34586e-5 -0.1034237 -0.9946374 0 0.407772 -0.9130837 0 -0.5868449 -0.8096994 9.7762e-5 -0.1033857 -0.9946413 3.29751e-4 0 0 1 -0.5868632 -0.8096861 -9.77455e-5 0.9875096 0.1575586 0 0.6302112 -0.7764237 0 0.9875096 0.1575586 0 0.3572974 0.9339906 0 0.3572974 0.9339906 0 -0.6302112 0.7764237 0 -0.6302112 0.7764237 0 -0.9875095 -0.1575596 0 -0.9875095 -0.1575596 0 -0.3572978 -0.9339904 0 -0.3572978 -0.9339904 0 0.6302112 -0.7764237 0 0.7154099 -0.07433861 -0.6947393 0.5869203 0.4764154 -0.6546394 0.5774809 0.2578992 -0.7745992 0.5120923 -0.37116 -0.7745977 0.2932907 -0.6567371 -0.6947496 0.706012 -0.2701012 -0.6546697 -0.06538689 -0.6290668 -0.7745963 -0.4221016 -0.5823671 -0.694751 0.1191139 -0.7464874 -0.6546514 -0.5774807 -0.2578991 -0.7745994 -0.5869202 -0.4764158 -0.6546394 -0.7154098 0.07433915 -0.6947392 0.9339833 -0.3573169 0 0.7764365 0.6301955 0 0.77641 0.6302281 4.37287e-5 0.1575724 -0.9875074 -4.28289e-5 0.9339904 -0.357298 2.10707e-5 -0.7764097 -0.6302286 4.37126e-5 0.1575694 -0.9875079 -4.60562e-5 -0.7764362 -0.6301959 0 -0.933983 0.3573175 0 -0.5120928 0.3711599 -0.7745976 -0.7060114 0.2701016 -0.6546701 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9339904 0.357298 2.17686e-5 0 0 -1 -0.9726243 0.232383 0 -0.8520246 -0.5235018 0 -0.8520246 -0.5235018 0 0 0 -1 -0.523507 0.8520215 0 -0.9726243 0.232383 0 0 0 -1 0.2323539 0.9726313 0 0 0 -1 -0.523507 0.8520215 0 0.8520246 0.5235018 0 0.2323539 0.9726313 0 0.9726246 -0.2323819 0 0.8520246 0.5235018 0 0.523507 -0.8520215 0 0.9726246 -0.2323819 0 -0.2323537 -0.9726314 0 0.523507 -0.8520215 0 -0.2323537 -0.9726314 0 -0.1575692 0.9875079 -4.60682e-5 -0.1575724 0.9875074 -4.27094e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2932905 0.6567371 -0.6947497 0.06538689 0.6290669 -0.7745963 0.422102 0.5823666 -0.694751 -0.1191139 0.7464875 -0.6546514 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.1033873 -0.9946412 0 0 0 1 0.4077934 -0.9130743 1.6044e-4 0 0 1 0 0 1 0.4077764 -0.9130818 0 0 0 1 -0.5868627 -0.8096866 -3.82078e-5 0 0 1 0 0 1 -0.1033547 -0.9946445 2.82553e-4 0 0 1 -0.9130686 -0.4078059 3.23216e-4 -0.5868564 -0.8096911 2.84855e-5 -0.9946374 0.1034237 0 -0.9130839 -0.4077717 0 -0.8096994 0.5868449 1.0132e-4 -0.9946413 0.1033856 3.30379e-4 0 0 1 -0.4077928 0.9130745 1.54904e-4 0 0 1 -0.8096857 0.5868639 -1.01097e-4 0 0 1 0.1033859 0.9946413 0 0 0 1 0 0 1 -0.4077764 0.9130818 0 0 0 1 0.5868631 0.8096862 -4.31176e-5 0 0 1 0 0 1 0.103354 0.9946447 2.76549e-4 0 0 1 0.9130686 0.4078059 3.20743e-4 0.5868568 0.8096907 2.34586e-5 0.9946374 -0.1034237 0 0.9130837 0.407772 0 0.8096994 -0.5868449 9.7762e-5 0.9946413 -0.1033857 3.29751e-4 0 0 1 0.8096861 -0.5868632 -9.77455e-5 -0.1575586 0.9875096 0 0.7764237 0.6302112 0 -0.1575586 0.9875096 0 -0.9339906 0.3572974 0 -0.9339906 0.3572974 0 -0.7764237 -0.6302112 0 -0.7764237 -0.6302112 0 0.1575596 -0.9875095 0 0.1575596 -0.9875095 0 0.9339904 -0.3572978 0 0.9339904 -0.3572978 0 0.7764237 0.6302112 0 0.07433861 0.7154099 -0.6947393 -0.4764154 0.5869203 -0.6546394 -0.2578992 0.5774809 -0.7745992 0.37116 0.5120923 -0.7745977 0.6567371 0.2932907 -0.6947496 0.2701012 0.706012 -0.6546697 0.6290668 -0.06538689 -0.7745963 0.5823671 -0.4221016 -0.694751 0.7464874 0.1191139 -0.6546514 0.2578991 -0.5774807 -0.7745994 0.4764158 -0.5869202 -0.6546394 -0.07433915 -0.7154098 -0.6947392 0.3573169 0.9339833 0 -0.6301955 0.7764365 0 -0.6302281 0.77641 4.37287e-5 0.9875074 0.1575724 -4.28289e-5 0.357298 0.9339904 2.10707e-5 0.6302286 -0.7764097 4.37126e-5 0.9875079 0.1575694 -4.60562e-5 0.6301959 -0.7764362 0 -0.3573175 -0.933983 0 -0.3711599 -0.5120928 -0.7745976 -0.2701016 -0.7060114 -0.6546701 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.357298 -0.9339904 2.17686e-5 0 0 -1 -0.232383 -0.9726243 0 0.5235018 -0.8520246 0 0.5235018 -0.8520246 0 0 0 -1 -0.8520215 -0.523507 0 -0.232383 -0.9726243 0 0 0 -1 -0.9726313 0.2323539 0 0 0 -1 -0.8520215 -0.523507 0 -0.5235018 0.8520246 0 -0.9726313 0.2323539 0 0.2323819 0.9726246 0 -0.5235018 0.8520246 0 0.8520215 0.523507 0 0.2323819 0.9726246 0 0.9726314 -0.2323537 0 0.8520215 0.523507 0 0.9726314 -0.2323537 0 -0.9875079 -0.1575692 -4.60682e-5 -0.9875074 -0.1575724 -4.27094e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6567371 -0.2932905 -0.6947497 -0.6290669 0.06538689 -0.7745963 -0.5823666 0.422102 -0.694751 -0.7464875 -0.1191139 -0.6546514 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071068 0.7071068 0 0 0 1 -0.7071068 0.7071068 0 0.7071071 0.7071065 0 0.7071071 0.7071065 0 -0.7071065 -0.7071071 0 0 0 1 0 0 -1 -0.7071065 -0.7071071 0 0 0 -1 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 -0.707107 0.7071067 0 0 0 1 -0.707107 0.7071067 0 0.7071003 0.7071133 0 0.7071003 0.7071133 0 -0.7071008 -0.7071127 0 0 0 1 0 0 -1 -0.7071008 -0.7071127 0 0 0 -1 0.7071067 -0.7071069 0 0.7071067 -0.7071069 0 0.7071048 0.7071089 0 -0.7071048 0.7071088 0 0 0 1 -0.7071048 0.7071088 0 0 0 1 0.7071048 0.7071089 0 0 0 -1 0.7071068 -0.7071068 0 0 0 -1 0.7071068 -0.7071068 0 -0.7071069 -0.7071068 0 -0.7071069 -0.7071068 0 0.7070975 0.707116 0 0 0 1 0.7070975 0.707116 0 0.7071004 -0.7071132 0 -0.7071004 0.7071132 0 0 0 1 -0.7071004 0.7071132 0 0 0 -1 0.7071004 -0.7071132 0 0 0 -1 -0.7070975 -0.707116 0 -0.7070975 -0.707116 0 -0.7071068 0.7071068 0 0 0 1 -0.7071068 0.7071068 0 0.7071008 0.7071127 0 0.7071008 0.7071127 0 -0.707113 -0.7071005 0 0 0 1 0 0 -1 -0.707113 -0.7071005 0 0 0 -1 0.707107 -0.7071067 0 0.707107 -0.7071067 0 0 0 -1 0.9506972 0.3101208 0 0 0 -1 0.9999994 0.001146316 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9999994 0.001146316 0 0 0 -1 0.8083475 0.5887055 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9506972 0.3101208 0 0 0 -1 0.586849 0.8096964 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8083475 0.5887055 0 0 0 -1 0.3079391 0.9514061 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.586849 0.8096964 0 0 0 -1 -0.001146316 0.9999994 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3079391 0.9514061 0 0 0 -1 -0.3101208 0.9506972 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.001146316 0.9999994 0 0 0 -1 -0.5887055 0.8083475 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3101208 0.9506972 0 0 0 -1 -0.8096964 0.586849 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.5887055 0.8083475 0 0 0 -1 -0.9514061 0.3079391 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8096964 0.586849 0 0 0 -1 -0.9999994 -0.001146316 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9514061 0.3079391 0 0 0 -1 -0.9506972 -0.3101208 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9999994 -0.001146316 0 0 0 -1 -0.8083475 -0.5887055 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9506972 -0.3101208 0 0 0 -1 -0.586849 -0.8096964 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8083475 -0.5887055 0 0 0 -1 -0.3079391 -0.9514061 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.586849 -0.8096964 0 0 0 -1 0.001146316 -0.9999994 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3079391 -0.9514061 0 0 0 -1 0.3101208 -0.9506972 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.001146316 -0.9999994 0 0 0 -1 0.5887055 -0.8083475 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3101208 -0.9506972 0 0 0 -1 0.8096964 -0.586849 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.5887055 -0.8083475 0 0 0 -1 0.9514061 -0.3079391 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8096964 -0.586849 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9514061 -0.3079391 0 0 0 -1 0.9726262 -0.2323753 0 0 0 -1 0.8520153 0.5235168 2.33389e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8520261 0.5234996 0 0 0 -1 0.5234388 -0.8520633 -5.81902e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.972631 -0.2323552 2.35627e-5 0 0 -1 -0.2322864 -0.9726474 2.334e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.5234996 -0.8520261 2.35627e-5 0 0 -1 -0.8520153 -0.5235168 2.33389e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2323552 -0.972631 -5.79623e-5 0 0 -1 -0.9726262 0.2323753 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8520261 -0.5234996 0 0 0 -1 -0.5234388 0.8520633 -5.81902e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.972631 0.2323552 2.35627e-5 0 0 -1 0.2322864 0.9726474 2.334e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.5234996 0.8520261 2.35627e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2323552 0.972631 -5.79623e-5 -0.1796416 0.9837321 0 0 0 -1 -0.9875084 -0.1575666 0 -0.9875084 -0.1575666 0 -0.1354357 0.9907861 0 -0.1796416 0.9837321 0 0 0 -1 0.9875084 0.1575666 0 -0.1354357 0.9907861 0 0 0 -1 0.1307331 -0.9914175 0 0 0 -1 0 0 -1 0.9875084 0.1575666 0 0.1843059 -0.9828689 0 0.1307331 -0.9914175 0 0 0 -1 0 0 -1 0.1843059 -0.9828689 0 -0.3147693 0.9491683 0 0 0 -1 -0.9559717 -0.293459 0 -0.9559717 -0.293459 0 -0.2719636 0.9623075 0 -0.3147693 0.9491683 0 0.9559682 0.2934705 0 -0.2719636 0.9623075 0 0 0 -1 0.2674016 -0.9635851 0 0 0 -1 0.9559682 0.2934705 0 0 0 -1 0.3194039 -0.9476187 0 0 0 -1 0.2674016 -0.9635851 0 0 0 -1 0 0 -1 0 0 -1 0.3194039 -0.9476187 0 -0.4438048 0.8961235 0 0 0 -1 -0.905822 -0.4236584 0 -0.905822 -0.4236584 0 -0.4033249 0.9150568 0 -0.4438048 0.8961235 0 0.9058277 0.4236465 0 -0.4033249 0.9150568 0 0 0 -1 0.3989099 -0.9169901 0 0 0 -1 0 0 -1 0.9058277 0.4236465 0 0 0 -1 0.4479883 -0.8940395 0 0 0 -1 0.3989099 -0.9169901 0 0 0 -1 0 0 -1 0.4479883 -0.8940395 0 -0.5642375 0.8256127 0 0 0 -1 -0.83805 -0.5455933 0 -0.83805 -0.5455933 0 -0.5266184 0.8501018 0 -0.5642375 0.8256127 0 0.8380364 0.5456144 0 -0.5266184 0.8501018 0 0 0 -1 0.5226852 -0.8525258 0 0.8380364 0.5456144 0 0 0 -1 0.5681479 -0.8229265 0 0.5226852 -0.8525258 0 0 0 -1 0 0 -1 0.5681479 -0.8229265 0 -0.6736127 0.7390845 0 -0.7539572 -0.6569236 0 -0.7539572 -0.6569236 0 -0.6399468 0.7684192 0 -0.6736127 0.7390845 0 0.753964 0.6569157 0 -0.6399468 0.7684192 0 0 0 -1 0.6362076 -0.7715179 0 0.753964 0.6569157 0 0 0 -1 0.6771568 -0.7358388 0 0.6362076 -0.7715179 0 0 0 -1 0 0 -1 0.6771568 -0.7358388 0 -0.7699415 0.6381146 0 0 0 -1 -0.6552 -0.7554553 0 -0.6552 -0.7554553 0 -0.7406392 0.671903 0 -0.7699415 0.6381146 0 0.6551901 0.7554642 0 -0.7406392 0.671903 0 0 0 -1 0.7374013 -0.6754548 0 0.6551901 0.7554642 0 0 0 -1 0.7729622 -0.6344522 0 0 0 -1 0.7374013 -0.6754548 0 0 0 -1 0 0 -1 0.7729622 -0.6344522 0 -0.8512773 0.5247161 0 0 0 -1 -0.5436733 -0.8392969 0 -0.5436733 -0.8392969 0 -0.826896 0.5623551 0 -0.8512773 0.5247161 0 0.5436832 0.8392906 0 -0.826896 0.5623551 0 0 0 -1 0.8242197 -0.5662702 0 0.5436832 0.8392906 0 0 0 -1 0.8537794 -0.520635 0 0.8242197 -0.5662702 0 0 0 -1 0 0 -1 0.8537794 -0.520635 0 -0.9160117 0.4011517 0 0 0 -1 -0.4215697 -0.906796 0 -0.4215697 -0.906796 0 -0.8970667 0.441895 0 -0.9160117 0.4011517 0 0.4215848 0.9067891 0 -0.8970667 0.441895 0 0 0 -1 0.8949915 -0.446083 0 0.4215848 0.9067891 0 0 0 -1 0.9179321 -0.3967376 0 0.8949915 -0.446083 0 0 0 -1 0 0 -1 0.9179321 -0.3967376 0 -0.9629239 0.2697734 0 0 0 -1 -0.2912747 -0.9566395 0 -0.2912747 -0.9566395 0 -0.9498439 0.3127245 0 -0.9629239 0.2697734 0 0.2912746 0.9566394 0 -0.9498439 0.3127245 0 0 0 -1 0.9483532 -0.3172164 0 0.2912746 0.9566394 0 0 0 -1 0.9641896 -0.2652141 0 0.9483532 -0.3172164 0 0 0 -1 0 0 -1 0.9641896 -0.2652141 0 -0.9911036 0.1330921 0 0 0 -1 -0.1553035 -0.9878668 0 -0.1553035 -0.9878668 0 -0.9841564 0.1773022 0 -0.9911036 0.1330921 0 0.1552975 0.9878678 0 -0.9841564 0.1773022 0 0 0 -1 0.9832769 -0.1821171 0 0.1552975 0.9878678 0 0 0 -1 0.9917235 -0.1283918 0 0.9832769 -0.1821171 0 0 0 -1 0 0 -1 0 0 -1 0.9917235 -0.1283918 0 -0.9999814 -0.006092071 0 0 0 -1 -0.01630538 -0.999867 0 -0.01630538 -0.999867 0 -0.9992493 0.03874033 0 -0.9999814 -0.006092071 0 0.01630496 0.999867 0 -0.9992493 0.03874033 0 0 0 -1 0.9990569 -0.04342228 0 0.01630496 0.999867 0 0 0 -1 0.9999419 0.01077777 0 0.9990569 -0.04342228 0 0 0 -1 0 0 -1 0.9999419 0.01077777 0 -0.9893913 -0.145275 0 0 0 -1 0.123008 -0.9924057 0 0 0 -1 0.123008 -0.9924057 0 -0.9949113 -0.1007556 0 -0.9893913 -0.145275 0 -0.1230043 0.9924062 0 -0.9949113 -0.1007556 0 0 0 -1 0.9953908 0.09590238 0 -0.1230043 0.9924062 0 0 0 -1 0.9886946 0.149944 0 0.9953908 0.09590238 0 0 0 -1 0.9886946 0.149944 0 -0.9595631 -0.2814939 0 0 0 -1 0.2599285 -0.9656279 0 0 0 -1 0.2599285 -0.9656279 0 -0.9712106 -0.2382224 0 -0.9595631 -0.2814939 0 -0.2599285 0.9656279 0 -0.9712106 -0.2382224 0 0 0 -1 0.9723535 0.2335136 0 -0.2599285 0.9656279 0 0 0 -1 0.9581882 0.2861388 0 0.9723535 0.2335136 0 0 0 -1 0.9581882 0.2861388 0 -0.9110687 -0.4122546 0 0 0 -1 0.3917784 -0.9200596 0 0 0 -1 0.3917784 -0.9200596 0 -0.9285758 -0.3711428 0 -0.9110687 -0.4122546 0 -0.3917784 0.9200596 0 -0.9285758 -0.3711428 0 0 0 -1 0.9303815 0.366593 0 -0.3917784 0.9200596 0 0 0 -1 0.9090411 0.4167065 0 0.9303815 0.366593 0 0 0 -1 0.9090411 0.4167065 0 -0.8447575 -0.5351493 0 0 0 -1 0.5160267 -0.8565726 0 0 0 -1 0.5160267 -0.8565726 0 -0.8679642 -0.4966268 0 -0.8447575 -0.5351493 0 -0.5160312 0.8565698 0 -0.8679642 -0.4966268 0 0 0 -1 0.8702468 0.4926161 0 0 0 -1 -0.5160312 0.8565698 0 0 0 -1 0.8422735 0.5390504 0 0.8702468 0.4926161 0 0 0 -1 0.8422735 0.5390504 0 -0.7620925 -0.6474682 0 0 0 -1 0.6302166 -0.7764194 0 0 0 -1 0.6302166 -0.7764194 0 -0.7903417 -0.6126663 0 -0.7620925 -0.6474682 0 -0.6302106 0.7764242 0 -0.7903417 -0.6126663 0 0 0 -1 0.7932435 0.6089046 0 -0.6302106 0.7764242 0 0 0 -1 0.7590307 0.6510548 0 0.7932435 0.6089046 0 0 0 -1 0.7590307 0.6510548 0 -0.6646335 -0.7471696 0 0 0 -1 0.7321436 -0.6811503 0 0 0 -1 0.7321436 -0.6811503 0 -0.6973237 -0.7167564 0 -0.6646335 -0.7471696 0 -0.732132 0.6811628 0 -0.6973237 -0.7167564 0 0 0 -1 0.7007836 0.7133739 0 -0.732132 0.6811628 0 0 0 -1 0.6610236 0.750365 0 0.7007836 0.7133739 0 0 0 -1 0.6610236 0.750365 0 -0.5540935 -0.8324545 0 0 0 -1 0.8198077 -0.5726391 0 0 0 -1 0.8198077 -0.5726391 0 -0.5909131 -0.8067352 0 -0.5540935 -0.8324545 0 -0.8198032 0.5726454 0 -0.5909131 -0.8067352 0 0 0 -1 0.5946787 0.8039634 0 -0.8198032 0.5726454 0 0 0 -1 0.5501829 0.8350442 0 0.5946787 0.8039634 0 0 0 -1 0.5501829 0.8350442 0 -0.4328663 -0.9014582 0 0 0 -1 0.8915241 -0.4529733 0 0 0 -1 0.8915241 -0.4529733 0 -0.4728453 -0.8811454 0 -0.4328663 -0.9014582 0 -0.8915241 0.4529734 0 -0.4728453 -0.8811454 0 0 0 -1 0.4770129 0.8788964 0 -0.8915241 0.4529734 0 0 0 -1 0.4285932 0.9034976 0 0 0 -1 0.4770129 0.8788964 0 0 0 -1 0.4285932 0.9034976 0 -0.3032073 -0.9529246 0 0 0 -1 0.9458906 -0.3244857 0 0 0 -1 0.9458906 -0.3244857 0 -0.3455433 -0.9384028 0 -0.3032073 -0.9529246 0 -0.9458961 0.3244697 0 -0.3455433 -0.9384028 0 0 0 -1 0.3501669 0.9366874 0 -0.9458961 0.3244697 0 0 0 -1 0.2986388 0.9543662 0 0.3501669 0.9366874 0 0 0 -1 0.2986388 0.9543662 0 -0.1676144 -0.9858526 0 0 0 -1 0.9818457 -0.1896813 0 0 0 -1 0.9818457 -0.1896813 0 -0.2116613 -0.977343 0 -0.1676144 -0.9858526 0 -0.981845 0.1896851 0 -0.2116613 -0.977343 0 0 0 -1 0.2163259 0.9763212 0 -0.981845 0.1896851 0 0 0 -1 0.1629094 0.986641 0 0.2163259 0.9763212 0 0 0 -1 0.1629094 0.986641 0 -0.02514553 -0.9996837 0 0 0 -1 1 0 0 0 0 -1 1 0 0 -0.07357555 -0.9972897 0 -0.02514553 -0.9996837 0 -0.9986889 0.05118888 0 -0.07357555 -0.9972897 0 0 0 -1 0.07825362 0.9969335 0 0 0 -1 0 0 -1 -0.9986889 0.05118888 0 0 0 -1 0.02550739 0.9996746 0 0 0 -1 0.07825362 0.9969335 0 0 0 -1 0 0 -1 0.02550739 0.9996746 0 0.1105972 -0.9938654 0 0 0 -1 0.9960944 0.08829534 0 0.9960944 0.08829534 0 0.06592184 -0.9978249 0 0.1105972 -0.9938654 0 -0.9960941 -0.08829766 0 0.06592184 -0.9978249 0 0 0 -1 -0.06122624 0.9981239 0 0 0 -1 -0.9960941 -0.08829766 0 0 0 -1 -0.1152697 0.9933342 0 0 0 -1 -0.06122624 0.9981239 0 0 0 -1 -0.1152697 0.9933342 0 0.2477557 -0.9688225 0 0 0 -1 0.9741105 0.2260726 0 0.9741105 0.2260726 0 0.204319 -0.9789043 0 0.2477557 -0.9688225 0 -0.9741125 -0.2260637 0 0.204319 -0.9789043 0 -0.1994617 0.9799056 0 -0.9741125 -0.2260637 0 -0.2524091 0.9676206 0 -0.1994617 0.9799056 0 0 0 -1 -0.2524091 0.9676206 0 0.3802251 -0.924894 0 0 0 -1 0.9331707 0.3594333 0 0.9331707 0.3594333 0 0.338364 -0.9410153 0 0.3802251 -0.924894 0 -0.9331657 -0.3594466 0 0.338364 -0.9410153 0 -0.3339449 0.9425926 0 -0.9331657 -0.3594466 0 -0.3846933 0.9230445 0 -0.3339449 0.9425926 0 0 0 -1 0 0 -1 -0.3846933 0.9230445 0 0.5053192 -0.8629326 0 0 0 -1 0.8740622 0.4858139 0 0.8740622 0.4858139 0 0.46601 -0.8847795 0 0.5053192 -0.8629326 0 -0.8740614 -0.4858157 0 0.46601 -0.8847795 0 0 0 -1 -0.4618736 0.8869459 0 0 0 -1 -0.8740614 -0.4858157 0 0 0 -1 -0.5093577 0.8605548 0 -0.4618736 0.8869459 0 0 0 -1 0 0 -1 -0.5093577 0.8605548 0 0.6204574 -0.7842402 0 0 0 -1 0.7979371 0.6027407 0 0.7979371 0.6027407 0 0.5847049 -0.811246 0 0.6204574 -0.7842402 0 -0.7979405 -0.6027362 0 0.5847049 -0.811246 0 0 0 -1 -0.5808373 0.8140196 0 -0.7979405 -0.6027362 0 0 0 -1 -0.6241809 0.7812799 0 -0.5808373 0.8140196 0 0 0 -1 0 0 -1 -0.6241809 0.7812799 0 0.7235772 -0.6902436 0 0 0 -1 0.7062993 0.7079133 0 0.7062993 0.7079133 0 0.691918 -0.7219762 0 0.7235772 -0.6902436 0 -0.7062954 -0.7079171 0 0.691918 -0.7219762 0 0 0 -1 -0.6884764 0.7252588 0 -0.7062954 -0.7079171 0 0 0 -1 -0.7268398 0.686807 0 -0.6884764 0.7252588 0 0 0 -1 0 0 -1 0 0 -1 -0.7268398 0.686807 0 0.8125979 -0.5828248 0 0 0 -1 0.6008927 0.7993297 0 0.6008927 0.7993297 0 0.785616 -0.6187145 0 0.8125979 -0.5828248 0 -0.6009048 -0.7993206 0 0.785616 -0.6187145 0 0 0 -1 -0.7827135 0.6223821 0 -0.6009048 -0.7993206 0 0 0 -1 -0.8153439 0.5789769 0 -0.7827135 0.6223821 0 0 0 -1 0 0 -1 -0.8153439 0.5789769 0 0.8858483 -0.463975 0 0 0 -1 0.4838041 0.8751764 0 0.4838041 0.8751764 0 0.8641112 -0.503301 0 0.8858483 -0.463975 0 -0.4838019 -0.8751776 0 0.8641112 -0.503301 0 0 0 -1 -0.8617285 0.5073696 0 -0.4838019 -0.8751776 0 0 0 -1 -0.8880023 0.4598389 0 -0.8617285 0.5073696 0 0 0 -1 0 0 -1 -0.8880023 0.4598389 0 0.9417489 -0.3363168 0 0 0 -1 0.3572995 0.9339898 0 0.3572995 0.9339898 0 0.9257873 -0.3780448 0 0.9417489 -0.3363168 0 -0.3572863 -0.933995 0 0.9257873 -0.3780448 0 0 0 -1 -0.9238929 0.382651 0 -0.3572863 -0.933995 0 0 0 -1 -0.9433653 0.3317559 0 -0.9238929 0.382651 0 0 0 -1 0 0 -1 -0.9433653 0.3317559 0 0.9793897 -0.2019796 0 0.2238345 0.9746271 0 0.2238345 0.9746271 0 0.9693797 -0.2455664 0 0.9793897 -0.2019796 0 -0.2238346 -0.9746271 0 0.9693797 -0.2455664 0 0 0 -1 -0.9681889 0.2502203 0 -0.2238346 -0.9746271 0 0 0 -1 -0.9803488 0.197272 0 -0.9681889 0.2502203 0 0 0 -1 -0.9803488 0.197272 0 0.997967 -0.06373381 0 0 0 -1 0.08601176 0.9962941 0 0.08601176 0.9962941 0 0.9941233 -0.1082536 0 0.997967 -0.06373381 0 0 0 -1 -0.08601409 -0.9962939 0 0.9941233 -0.1082536 0 0 0 -1 -0.9935856 0.1130822 0 0 0 -1 -0.08601409 -0.9962939 0 0 0 -1 -0.9982648 0.05888521 0 -0.9935856 0.1130822 0 0 0 -1 0 0 -1 -0.9982648 0.05888521 0 0.9971259 0.07576233 0 0 0 -1 -0.05348205 0.9985688 0 0 0 -1 -0.05348205 0.9985688 0 0.9995118 0.03124165 0 0.9971259 0.07576233 0 0.04970961 -0.9987637 0 0.9995118 0.03124165 0 0 0 -1 -0.999641 -0.02679276 0 0.04970961 -0.9987637 0 0 0 -1 -0.9967469 -0.08059442 0 -0.999641 -0.02679276 0 0 0 -1 -0.9967469 -0.08059442 0 0.976866 0.2138528 0 0 0 -1 -0.1919347 0.9814078 0 0 0 -1 -0.1919347 0.9814078 0 0.9854515 0.1699568 0 0.976866 0.2138528 0 0.1919347 -0.9814078 0 0.9854515 0.1699568 0 0 0 -1 -0.9862518 -0.1652495 0 0.1919347 -0.9814078 0 0 0 -1 -0.9758336 -0.2185149 0 -0.9862518 -0.1652495 0 0 0 -1 -0.9758336 -0.2185149 0 0.9375961 0.3477262 0 0 0 -1 -0.3266587 0.9451424 0 0 0 -1 -0.3266587 0.9451424 0 0.9522268 0.3053917 0 0.9375961 0.3477262 0 0.3266552 -0.9451435 0 0.9522268 0.3053917 0 0 0 -1 -0.9536775 -0.3008309 0 0.3266552 -0.9451435 0 0 0 -1 -0.9359197 -0.3522137 0 -0.9536775 -0.3008309 0 0 0 -1 -0.9359197 -0.3522137 0 0.8801181 0.4747548 0 0 0 -1 -0.4549981 0.8904924 0 0 0 -1 -0.4549981 0.8904924 0 0.9004179 0.435026 0 0.8801181 0.4747548 0 0.4549981 -0.8904925 0 0.9004179 0.435026 0 0 0 -1 -0.9025284 -0.4306305 0 0.4549981 -0.8904925 0 0 0 -1 -0.8777936 -0.479039 0 0 0 -1 -0.9025284 -0.4306305 0 0 0 -1 -0.8777936 -0.479039 0 0.8053656 0.5927785 0 0 0 -1 -0.5745249 0.8184871 0 0 0 -1 -0.5745249 0.8184871 0 0.8311942 0.5559822 0 0.8053656 0.5927785 0 0.5745211 -0.8184899 0 0.8311942 0.5559822 0 0 0 -1 -0.8337904 -0.5520811 0 0.5745211 -0.8184899 0 0 0 -1 -0.8025925 -0.5965278 0 -0.8337904 -0.5520811 0 0 0 -1 -0.8025925 -0.5965278 0 0.7150439 0.6990796 0 0 0 -1 -0.6828347 0.7305729 0 0 0 -1 -0.6828347 0.7305729 0 0.7457157 0.6662642 0 0.7150439 0.6990796 0 0.6828351 -0.7305727 0 0.7457157 0.6662642 0 0 0 -1 -0.7488489 -0.6627408 0 0.6828351 -0.7305727 0 0 0 -1 -0.7117545 -0.7024285 0 -0.7488489 -0.6627408 0 0 0 -1 -0.7117545 -0.7024285 0 0.6109031 0.7917054 0 0 0 -1 -0.7778734 0.628421 0 0 0 -1 -0.7778734 0.628421 0 0.6456531 0.7636309 0 0.6109031 0.7917054 0 0.7778719 -0.6284229 0 0.6456531 0.7636309 0 0 0 -1 -0.649321 -0.7605144 0 0.7778719 -0.6284229 0 0 0 -1 -0.6070737 -0.7946457 0 -0.649321 -0.7605144 0 0 0 -1 -0.6070737 -0.7946457 0 0.4947213 0.8690518 0 0 0 -1 -0.8577677 0.5140374 0 0 0 -1 -0.8577677 0.5140374 0 0.5331403 0.8460269 0 0.4947213 0.8690518 0 0.8577616 -0.5140479 0 0.5331403 0.8460269 0 0 0 -1 -0.5371916 -0.8434603 0 0.8577616 -0.5140479 0 0 0 -1 -0.4904767 -0.8714544 0 -0.5371916 -0.8434603 0 0 0 -1 0 0 -1 -0.4904767 -0.8714544 0 0.3689646 0.9294434 0 0 0 -1 -0.9209539 0.3896715 0 0 0 -1 -0.9209539 0.3896715 0 0.4102103 0.911991 0 0.3689646 0.9294434 0 0.9209539 -0.3896717 0 0.4102103 0.911991 0 0 0 -1 -0.4145322 -0.9100347 0 0.9209539 -0.3896717 0 0 0 -1 -0.3645512 -0.9311833 0 -0.4145322 -0.9100347 0 0 0 -1 -0.3645512 -0.9311833 0 0.2360351 0.9717444 0 0 0 -1 -0.9662224 0.2577099 0 0 0 -1 -0.9662224 0.2577099 0 0.2793027 0.9602031 0 0.2360351 0.9717444 0 0.9662224 -0.25771 0 0.2793027 0.9602031 0 0 0 -1 -0.2839511 -0.9588388 0 0.9662224 -0.25771 0 0 0 -1 -0.231324 -0.9728769 0 -0.2839511 -0.9588388 0 0 0 -1 -0.231324 -0.9728769 0 0.09841293 0.9951456 0 0 0 -1 -0.9926851 0.1207327 0 0 0 -1 -0.9926851 0.1207327 0 0.1429319 0.9897325 0 0.09841293 0.9951456 0 0.9926854 -0.1207298 0 0.1429319 0.9897325 0 0 0 -1 -0.1477557 -0.9890239 0 0.9926854 -0.1207298 0 -0.09371632 -0.995599 0 -0.1477557 -0.9890239 0 -0.09371632 -0.995599 0 -0.04092699 0.9991621 0 -0.999827 -0.0185998 0 -0.999827 -0.0185998 0 0.00374788 0.999993 0 -0.04092699 0.9991621 0 0.999827 0.01859939 0 0.00374788 0.999993 0 -0.008590102 -0.9999632 0 0.999827 0.01859939 0 0.04576474 -0.9989523 0 -0.008590102 -0.9999632 0 0.04576474 -0.9989523 0 0 0 -1 0.1810742 -0.9834694 0 0 0 -1 0.9875077 0.157571 0 0 0 -1 0.9875077 0.157571 0 0 0 -1 0.1339828 -0.9909837 0 0.1810742 -0.9834694 0 0 0 -1 -0.9875084 -0.1575666 0 0 0 -1 0.1339828 -0.9909837 0 0 0 -1 -0.130617 0.9914329 0 0 0 -1 0 0 -1 -0.9875084 -0.1575666 0 -0.184392 0.9828528 0 -0.130617 0.9914329 0 0 0 -1 0 0 -1 -0.184392 0.9828528 0 0 0 -1 0.316178 -0.9487 0 0 0 -1 0.9559668 0.2934748 0 0 0 -1 0.9559668 0.2934748 0 0 0 -1 0.2705932 -0.9626938 0 0.316178 -0.9487 0 -0.9559667 -0.293475 0 0.2705932 -0.9626938 0 0 0 -1 -0.2673329 0.9636043 0 0 0 -1 -0.9559667 -0.293475 0 0 0 -1 -0.3193888 0.9476237 0 0 0 -1 -0.2673329 0.9636043 0 0 0 -1 0 0 -1 0 0 -1 -0.3193888 0.9476237 0 0 0 -1 0.4451454 -0.8954584 0 0 0 -1 0.9058225 0.4236574 0 0 0 -1 0.9058225 0.4236574 0 0 0 -1 0.4019256 -0.9156724 0 0.4451454 -0.8954584 0 -0.9058226 -0.4236572 0 0.4019256 -0.9156724 0 0 0 -1 -0.3988358 0.9170224 0 0 0 -1 -0.9058226 -0.4236572 0 0 0 -1 -0.4481617 0.8939525 0 0 0 -1 -0.3988358 0.9170224 0 0 0 -1 0 0 -1 0 0 -1 -0.4481617 0.8939525 0 0 0 -1 0.5654207 -0.8248026 0 0 0 -1 0.8380447 0.5456016 0 0 0 -1 0.8380447 0.5456016 0 0 0 -1 0.5254541 -0.850822 0 0 0 -1 0.5654207 -0.8248026 0 -0.8380422 -0.5456054 0 0.5254541 -0.850822 0 0 0 -1 -0.5225741 0.8525938 0 0 0 -1 -0.8380422 -0.5456054 0 0 0 -1 -0.5682217 0.8228756 0 0 0 -1 -0.5225741 0.8525938 0 0 0 -1 0 0 -1 0 0 -1 -0.5682217 0.8228756 0 0 0 -1 0.6747189 -0.738075 0 0 0 -1 0.7539573 0.6569234 0 0 0 -1 0.7539573 0.6569234 0 0 0 -1 0.6387572 -0.7694083 0 0.6747189 -0.738075 0 -0.7539573 -0.6569234 0 0.6387572 -0.7694083 0 0 0 -1 -0.6361425 0.7715716 0 0 0 -1 -0.7539573 -0.6569234 0 0 0 -1 -0.6772196 0.735781 0 0 0 -1 -0.6361425 0.7715716 0 0 0 -1 0 0 -1 0 0 -1 -0.6772196 0.735781 0 0 0 -1 0.7708714 -0.6369909 0 0 0 -1 0.6551967 0.7554582 0 0 0 -1 0.6551967 0.7554582 0 0 0 -1 0.7396253 -0.6730189 0 0.7708714 -0.6369909 0 -0.655188 -0.7554659 0 0.7396253 -0.6730189 0 0 0 -1 -0.7373356 0.6755265 0 0 0 -1 -0.655188 -0.7554659 0 0 0 -1 -0.7730286 0.6343713 0 0 0 -1 -0.7373356 0.6755265 0 0 0 -1 0 0 -1 0 0 -1 -0.7730286 0.6343713 0 0 0 -1 0.8520121 -0.5235221 0 0 0 -1 0.5436744 0.8392962 0 0 0 -1 0.5436744 0.8392962 0 0 0 -1 0.8260987 -0.5635255 0 0.8520121 -0.5235221 0 -0.5436742 -0.8392964 0 0.8260987 -0.5635255 0 -0.8241758 0.5663341 0 0 0 -1 -0.5436742 -0.8392964 0 -0.8537886 0.5206199 0 -0.8241758 0.5663341 0 0 0 -1 -0.8537886 0.5206199 0 0 0 -1 0.9165814 -0.3998482 0 0 0 -1 0.4215777 0.9067922 0 0 0 -1 0.4215777 0.9067922 0 0 0 -1 0.8964838 -0.4430764 0 0.9165814 -0.3998482 0 -0.4215807 -0.9067909 0 0.8964838 -0.4430764 0 -0.8949807 0.4461048 0 -0.4215807 -0.9067909 0 -0.9179354 0.3967301 0 -0.8949807 0.4461048 0 0 0 -1 -0.9179354 0.3967301 0 0 0 -1 0.9633192 -0.268358 0 0 0 -1 0.2912705 0.9566407 0 0 0 -1 0.2912705 0.9566407 0 0 0 -1 0.9494176 -0.3140162 0 0.9633192 -0.268358 0 -0.2912779 -0.9566384 0 0 0 -1 0.9494176 -0.3140162 0 -0.9483536 0.3172153 0 -0.2912779 -0.9566384 0 -0.9642176 0.265112 0 -0.9483536 0.3172153 0 0 0 -1 -0.9642176 0.265112 0 0 0 -1 0.9912937 -0.1316696 0 0 0 -1 0.1553017 0.9878671 0 0 0 -1 0.1553017 0.9878671 0 0 0 -1 0.9838806 -0.1788266 0 0.9912937 -0.1316696 0 -0.1553032 -0.9878669 0 0.9838806 -0.1788266 0 -0.9832721 0.1821424 0 -0.1553032 -0.9878669 0 -0.9917319 0.1283276 0 -0.9832721 0.1821424 0 0 0 -1 -0.9917319 0.1283276 0 0 0 -1 0.9999703 0.007705748 0 0 0 -1 0.01630568 0.9998672 0 0 0 -1 0.01630568 0.9998672 0 0 0 -1 0.9991918 -0.04019576 0 0.9999703 0.007705748 0 -0.01630491 -0.9998671 0 0.9991918 -0.04019576 0 -0.9990515 0.04354667 0 -0.01630491 -0.9998671 0 -0.9999402 -0.01093447 0 -0.9990515 0.04354667 0 0 0 -1 -0.9999402 -0.01093447 0 0 0 -1 0.9891887 0.1466482 0 0 0 -1 -0.123008 0.9924057 0 0 0 -1 0 0 -1 -0.123008 0.9924057 0 0 0 -1 0.9950653 0.0992223 0 0.9891887 0.1466482 0 0.1230119 -0.9924052 0 0.9950653 0.0992223 0 -0.995389 -0.09592115 0 0.1230119 -0.9924052 0 -0.9886847 -0.1500086 0 -0.995389 -0.09592115 0 -0.9886847 -0.1500086 0 0 0 -1 0.9591497 0.2828991 0 0 0 -1 -0.259927 0.9656283 0 0 0 -1 0 0 -1 -0.259927 0.9656283 0 0 0 -1 0.9715563 0.2368085 0 0 0 -1 0.9591497 0.2828991 0 0.259927 -0.9656283 0 0.9715563 0.2368085 0 -0.9723477 -0.2335379 0 0.259927 -0.9656283 0 -0.9581923 -0.2861251 0 -0.9723477 -0.2335379 0 -0.9581923 -0.2861251 0 0 0 -1 0.9104528 0.4136131 0 0 0 -1 -0.3917855 0.9200567 0 0 0 -1 0 0 -1 -0.3917855 0.9200567 0 0 0 -1 0.9291412 0.3697251 0 0.9104528 0.4136131 0 0.3917881 -0.9200554 0 0.9291412 0.3697251 0 -0.9303817 -0.3665923 0 0.3917881 -0.9200554 0 -0.9090469 -0.4166938 0 -0.9303817 -0.3665923 0 -0.9090469 -0.4166938 0 0 0 -1 0.8440251 0.5363037 0 0 0 -1 -0.5160212 0.8565757 0 0 0 -1 0 0 -1 -0.5160212 0.8565757 0 0 0 -1 0.8686384 0.4954466 0 0.8440251 0.5363037 0 0.5160212 -0.8565757 0 0.8686384 0.4954466 0 -0.8703219 -0.4924833 0 0.5160212 -0.8565757 0 -0.842192 -0.5391777 0 -0.8703219 -0.4924833 0 -0.842192 -0.5391777 0 0 0 -1 0.7611772 0.648544 0 0 0 -1 -0.6302126 0.7764227 0 0 0 -1 0 0 -1 -0.6302126 0.7764227 0 0 0 -1 0.7912343 0.6115131 0 0.7611772 0.648544 0 0.6302126 -0.7764227 0 0.7912343 0.6115131 0 -0.7933012 -0.6088295 0 0.6302126 -0.7764227 0 -0.7589756 -0.6511191 0 -0.7933012 -0.6088295 0 -0.7589756 -0.6511191 0 0 0 -1 0.6635066 0.7481705 0 0 0 -1 -0.7321343 0.6811602 0 0 0 -1 0 0 -1 -0.7321343 0.6811602 0 0 0 -1 0.6984318 0.7156767 0 0.6635066 0.7481705 0 0.7321342 -0.6811605 0 0.6984318 0.7156767 0 -0.7008522 -0.7133065 0 0.7321342 -0.6811605 0 -0.6609678 -0.7504143 0 -0.7008522 -0.7133065 0 -0.6609678 -0.7504143 0 0 0 -1 0.5529311 0.8332269 0 0 0 -1 -0.8198097 0.5726361 0 0 0 -1 0 0 -1 -0.8198097 0.5726361 0 0 0 -1 0.5920219 0.8059218 0 0.5529311 0.8332269 0 0.8198133 -0.5726309 0 0 0 -1 0.5920219 0.8059218 0 0 0 -1 -0.5947558 -0.8039065 0 0.8198133 -0.5726309 0 0 0 -1 -0.5500874 -0.8351072 0 0 0 -1 -0.5947558 -0.8039065 0 0 0 -1 0 0 -1 -0.5500874 -0.8351072 0 0 0 -1 0.4315671 0.9020809 0 0 0 -1 -0.8915293 0.452963 0 0 0 -1 0 0 -1 -0.8915293 0.452963 0 0 0 -1 0.4741088 0.8804663 0 0.4315671 0.9020809 0 0.891526 -0.4529695 0 0.4741088 0.8804663 0 0 0 -1 -0.4770898 -0.8788546 0 0 0 -1 0.891526 -0.4529695 0 0 0 -1 -0.4285142 -0.903535 0 0 0 -1 -0.4770898 -0.8788546 0 0 0 -1 0 0 -1 -0.4285142 -0.903535 0 0 0 -1 0.3018326 0.953361 0 0 0 -1 -0.9458925 0.32448 0 0 0 -1 0 0 -1 -0.9458925 0.32448 0 0 0 -1 0.3469642 0.9378783 0 0.3018326 0.953361 0 0.9458917 -0.3244825 0 0.3469642 0.9378783 0 0 0 -1 -0.3501237 -0.9367035 0 0 0 -1 0.9458917 -0.3244825 0 0 0 -1 -0.2985988 -0.9543787 0 0 0 -1 -0.3501237 -0.9367035 0 0 0 -1 0 0 -1 -0.2985988 -0.9543787 0 0 0 -1 0.1662225 0.9860883 0 0 0 -1 -0.9818459 0.1896803 0 0 0 -1 0 0 -1 -0.9818459 0.1896803 0 0 0 -1 0.2130451 0.9770423 0 0.1662225 0.9860883 0 0.9818456 -0.1896817 0 0.2130451 0.9770423 0 0 0 -1 -0.2163544 -0.9763149 0 0 0 -1 0.9818456 -0.1896817 0 0 0 -1 -0.1628591 -0.9866493 0 0 0 -1 -0.2163544 -0.9763149 0 0 0 -1 0 0 -1 -0.1628591 -0.9866493 0 0 0 -1 0.02541804 0.9996768 0 0 0 -1 -1 0 0 0 0 -1 0 0 -1 -1 0 0 0 0 -1 0.07497799 0.9971851 0 0 0 -1 0.02541804 0.9996768 0 0.9986889 -0.05118995 0 0.07497799 0.9971851 0 0 0 -1 -0.07836747 -0.9969245 0 0 0 -1 0.9986889 -0.05118995 0 0 0 -1 -0.02549833 -0.999675 0 0 0 -1 -0.07836747 -0.9969245 0 0 0 -1 0 0 -1 -0.02549833 -0.999675 0 0 0 -1 -0.1120517 0.9937024 0 0 0 -1 -0.9960939 -0.088301 0 0 0 -1 -0.9960939 -0.088301 0 0 0 -1 -0.06456506 0.9979135 0 -0.1120517 0.9937024 0 0.9960944 0.08829563 0 -0.06456506 0.9979135 0 0 0 -1 0.06112188 -0.9981304 0 0 0 -1 0.9960944 0.08829563 0 0 0 -1 0.1153956 -0.9933196 0 0 0 -1 0.06112188 -0.9981304 0 0 0 -1 0.1153956 -0.9933196 0 0 0 -1 -0.2492393 0.968442 0 0 0 -1 -0.97411 -0.2260744 0 0 0 -1 -0.97411 -0.2260744 0 0 0 -1 -0.2027755 0.9792253 0 -0.2492393 0.968442 0 0.9741122 0.2260649 0 -0.2027755 0.9792253 0 0.1994485 -0.9799084 0 0.9741122 0.2260649 0 0.2525129 -0.9675935 0 0.1994485 -0.9799084 0 0 0 -1 0.2525129 -0.9675935 0 0 0 -1 -0.3815941 0.92433 0 0 0 -1 -0.9331659 -0.3594457 0 0 0 -1 -0.9331659 -0.3594457 0 0 0 -1 -0.3370884 0.9414731 0 -0.3815941 0.92433 0 0.9331697 0.3594361 0 -0.3370884 0.9414731 0 0.3338962 -0.9426099 0 0.9331697 0.3594361 0 0.3847132 -0.9230362 0 0.3338962 -0.9426099 0 0 0 -1 0.3847132 -0.9230362 0 0 0 -1 -0.5065295 0.8622226 0 0 0 -1 -0.8740649 -0.4858092 0 0 0 -1 -0.8740649 -0.4858092 0 0 0 -1 -0.4648208 0.8854048 0 -0.5065295 0.8622226 0 0.8740651 0.485809 0 -0.4648208 0.8854048 0 0.4618318 -0.8869675 0 0.8740651 0.485809 0 0.5094333 -0.8605102 0 0.4618318 -0.8869675 0 0 0 -1 0.5094333 -0.8605102 0 0 0 -1 -0.6215951 0.7833386 0 0 0 -1 -0.7979426 -0.6027334 0 0 0 -1 -0.7979426 -0.6027334 0 0 0 -1 -0.5835188 0.8120997 0 -0.6215951 0.7833386 0 0.7979437 0.602732 0 0 0 -1 -0.5835188 0.8120997 0 0.5807867 -0.8140558 0 0.7979437 0.602732 0 0.6242457 -0.7812281 0 0.5807867 -0.8140558 0 0 0 -1 0.6242457 -0.7812281 0 0 0 -1 -0.7245581 0.6892138 0 0 0 -1 -0.7062954 -0.7079173 0 0 0 -1 -0.7062954 -0.7079173 0 0 0 -1 -0.6908664 0.7229824 0 -0.7245581 0.6892138 0 0.7062951 0.7079174 0 -0.6908664 0.7229824 0 0.6884143 -0.7253177 0 0.7062951 0.7079174 0 0.7268872 -0.6867569 0 0.6884143 -0.7253177 0 0 0 -1 0.7268872 -0.6867569 0 0 0 -1 -0.8134292 0.581664 0 0 0 -1 -0.6008967 -0.7993267 0 0 0 -1 -0.6008967 -0.7993267 0 0 0 -1 -0.7847747 0.619781 0 -0.8134292 0.581664 0 0.6008973 0.7993263 0 -0.7847747 0.619781 0 0.7826698 -0.6224371 0 0.6008973 0.7993263 0 0.8153962 -0.5789033 0 0.7826698 -0.6224371 0 0 0 -1 0.8153962 -0.5789033 0 0 0 -1 -0.8864672 0.4627914 0 0 0 -1 -0.483804 -0.8751763 0 0 0 -1 -0.483804 -0.8751763 0 0 0 -1 -0.8633894 0.5045382 0 -0.8864672 0.4627914 0 0.4838106 0.8751727 0 -0.8633894 0.5045382 0 0.8616727 -0.5074644 0 0.4838106 0.8751727 0 0.8880273 -0.4597908 0 0.8616727 -0.5074644 0 0 0 -1 0.8880273 -0.4597908 0 0 0 -1 -0.9422523 0.3349037 0 0 0 -1 -0.3572975 -0.9339906 0 0 0 -1 -0.3572975 -0.9339906 0 0 0 -1 -0.9252009 0.3794776 0 0 0 -1 -0.9422523 0.3349037 0 0.3572949 0.9339917 0 -0.9252009 0.3794776 0 0.9239105 -0.3826087 0 0.3572949 0.9339917 0 0.9433747 -0.3317291 0 0.9239105 -0.3826087 0 0 0 -1 0.9433747 -0.3317291 0 0 0 -1 -0.9796929 0.200504 0 0 0 -1 -0.223829 -0.9746285 0 0 0 -1 -0.223829 -0.9746285 0 0 0 -1 -0.9690124 0.247012 0 -0.9796929 0.200504 0 0.2238348 0.9746271 0 -0.9690124 0.247012 0 0.9681674 -0.2503039 0 0.2238348 0.9746271 0 0.9803638 -0.1971977 0 0.9681674 -0.2503039 0 0 0 -1 0.9803638 -0.1971977 0 0 0 -1 -0.9980592 0.06227284 0 0 0 -1 -0.08601057 -0.9962942 0 0 0 -1 -0.08601057 -0.9962942 0 0 0 -1 -0.9939578 0.1097626 0 -0.9980592 0.06227284 0 0.0860086 0.9962944 0 -0.9939578 0.1097626 0 0.9935831 -0.1131045 0 0.0860086 0.9962944 0 0.9982666 -0.05885273 0 0.9935831 -0.1131045 0 0 0 -1 0.9982666 -0.05885273 0 0 0 -1 -0.9970102 -0.07727056 0 0 0 -1 0.05347782 -0.998569 0 0 0 -1 0 0 -1 0.05347782 -0.998569 0 0 0 -1 -0.9996522 -0.02637034 0 -0.9970102 -0.07727056 0 0 1 0 -0.9996522 -0.02637034 0 0.9996418 0.02675968 0 0 1 0 0.9967419 0.08065736 0 0.9996418 0.02675968 0 0.9967419 0.08065736 0 0 0 -1 -0.9765487 -0.2152969 0 0 0 -1 0.1919335 -0.981408 0 0 0 -1 0 0 -1 0.1919335 -0.981408 0 0 0 -1 -0.9857069 -0.1684697 0 -0.9765487 -0.2152969 0 -0.1919336 0.9814079 0 -0.9857069 -0.1684697 0 0.9862727 0.1651244 0 -0.1919336 0.9814079 0 0.9758126 0.2186086 0 0.9862727 0.1651244 0 0.9758126 0.2186086 0 0 0 -1 -0.9370828 -0.349107 0 0 0 -1 0.3266541 -0.9451438 0 0 0 -1 0 0 -1 0.3266541 -0.9451438 0 0 0 -1 -0.9526662 -0.3040182 0 -0.9370828 -0.349107 0 -0.3266541 0.9451438 0 0 0 -1 -0.9526662 -0.3040182 0 0.9536915 0.3007864 0 -0.3266541 0.9451438 0 0.9358939 0.3522819 0 0.9536915 0.3007864 0 0.9358939 0.3522819 0 0 0 -1 -0.8793807 -0.4761192 0 0 0 -1 0.4550071 -0.8904878 0 0 0 -1 0 0 -1 0.4550071 -0.8904878 0 0 0 -1 -0.9010819 -0.433649 0 -0.8793807 -0.4761192 0 -0.4550133 0.8904846 0 -0.9010819 -0.433649 0 0.9025499 0.430585 0 -0.4550133 0.8904846 0 0.8777633 0.4790946 0 0.9025499 0.430585 0 0.8777633 0.4790946 0 0 0 -1 -0.8045503 -0.5938846 0 0 0 -1 0.5745195 -0.8184909 0 0 0 -1 0 0 -1 0.5745195 -0.8184909 0 0 0 -1 -0.8319637 -0.55483 0 -0.8045503 -0.5938846 0 -0.5745155 0.8184937 0 -0.8319637 -0.55483 0 0.8338402 0.5520058 0 -0.5745155 0.8184937 0 0.8025421 0.5965955 0 0.8338402 0.5520058 0 0.8025421 0.5965955 0 0 0 -1 -0.7140906 -0.7000532 0 0 0 -1 0.6828349 -0.7305726 0 0 0 -1 0 0 -1 0.6828349 -0.7305726 0 0 0 -1 -0.7466413 -0.6652269 0 -0.7140906 -0.7000532 0 -0.682839 0.730569 0 -0.7466413 -0.6652269 0 0.7489002 0.6626828 0 -0.682839 0.730569 0 0.711694 0.7024896 0 0.7489002 0.6626828 0 0.711694 0.7024896 0 0 0 -1 -0.6096897 -0.7926402 0 0 0 -1 0.7778666 -0.6284297 0 0 0 -1 0 0 -1 0.7778666 -0.6284297 0 0 0 -1 -0.6468099 -0.7626513 0 0 0 -1 -0.6096897 -0.7926402 0 -0.7778668 0.6284292 0 -0.6468099 -0.7626513 0 0.6493805 0.7604637 0 -0.7778668 0.6284292 0 0.6070109 0.7946935 0 0.6493805 0.7604637 0 0.6070109 0.7946935 0 0 0 -1 -0.4934446 -0.8697772 0 0 0 -1 0.8577552 -0.5140583 0 0 0 -1 0 0 -1 0.8577552 -0.5140583 0 0 0 -1 -0.5343748 -0.8452476 0 -0.4934446 -0.8697772 0 -0.8577585 0.5140529 0 -0.5343748 -0.8452476 0 0.5372205 0.8434418 0 -0.8577585 0.5140529 0 0.4905009 0.8714407 0 0.5372205 0.8434418 0 0.4905009 0.8714407 0 0 0 -1 -0.3675851 -0.9299898 0 0 0 -1 0.9209506 -0.3896792 0 0 0 -1 0 0 -1 0.9209506 -0.3896792 0 0 0 -1 -0.4115317 -0.9113956 0 -0.3675851 -0.9299898 0 -0.9209519 0.3896764 0 -0.4115317 -0.9113956 0 0.4146159 0.9099965 0 -0.9209519 0.3896764 0 0.3644511 0.9312225 0 0.4146159 0.9099965 0 0.3644511 0.9312225 0 0 0 -1 -0.2345788 -0.9720972 0 0 0 -1 0.9662218 -0.2577123 0 0 0 -1 0 0 -1 0.9662218 -0.2577123 0 0 0 -1 -0.2806947 -0.9597972 0 -0.2345788 -0.9720972 0 -0.9662237 0.257705 0 -0.2806947 -0.9597972 0 0.283933 0.9588441 0 -0.9662237 0.257705 0 0.2312887 0.9728851 0 0.283933 0.9588441 0 0.2312887 0.9728851 0 0 0 -1 -0.09709835 -0.9952747 0 0 0 -1 0.9926857 -0.1207264 0 0 0 -1 0 0 -1 0.9926857 -0.1207264 0 0 0 -1 -0.1443741 -0.9895232 0 -0.09709835 -0.9952747 0 -0.9926852 0.1207309 0 -0.1443741 -0.9895232 0 0.1477155 0.9890299 0 -0.9926852 0.1207309 0 0.09365427 0.9956048 0 0.1477155 0.9890299 0 0.09365427 0.9956048 0 0 0 -1 0.04248774 -0.9990969 0 0.999827 0.01859945 0 0.999827 0.01859945 0 0 0 -1 -0.005413711 -0.9999854 0 0.04248774 -0.9990969 0 -0.999827 -0.01860034 0 0 0 -1 -0.005413711 -0.9999854 0 0.008621811 0.9999628 0 -0.999827 -0.01860034 0 -0.04581773 0.9989498 0 0.008621811 0.9999628 0 -0.04581773 0.9989498 0 0.4550117 -0.8904855 0 -0.1552984 -0.9878675 -5.77097e-4 -0.1552777 -0.9878709 0 0.891526 -0.4529696 2.43309e-4 0.4549917 -0.8904954 -6.12191e-4 0.9875065 0.1575736 0.001288235 0.89151 -0.4530006 -7.1797e-4 0.7062982 0.707914 -7.38109e-4 0.9875063 0.1575739 0.001297652 0.1552984 0.9878675 -5.77097e-4 0.7062729 0.7079396 2.53102e-4 -0.4550117 0.8904855 0 0.1552777 0.9878709 0 -0.891526 0.4529696 2.43309e-4 -0.4549918 0.8904954 -6.11625e-4 -0.9875065 -0.1575736 0.001288235 -0.89151 0.4530006 -7.1797e-4 -0.7062982 -0.707914 -7.38109e-4 -0.9875063 -0.1575739 0.001297652 -0.7062729 -0.7079396 2.53102e-4 -0.1553089 -0.9878659 0 0.455014 -0.8904841 6.17054e-4 0.4549945 -0.8904942 0 -0.7062927 -0.7079198 -2.53074e-4 -0.1552875 -0.9878692 6.10519e-4 -0.9875083 -0.1575593 -0.001528501 -0.7062712 -0.7079411 5.96984e-4 -0.8915297 0.4529618 7.54084e-4 -0.9875074 -0.1575674 -0.001300871 -0.455014 0.8904841 6.17054e-4 -0.8915138 0.4529933 -2.38381e-4 0.1553089 0.9878659 0 -0.4549945 0.8904942 0 0.7062927 0.7079198 -2.53074e-4 0.1552875 0.9878692 6.10428e-4 0.9875083 0.1575593 -0.001528501 0.7062712 0.7079411 5.96984e-4 0.8915297 -0.4529618 7.54084e-4 0.9875074 0.1575674 -0.001300871 0.8915138 -0.4529933 -2.38381e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9130817 0.4077769 0 0 0 -1 0.994642 -0.1033799 0 0.994642 -0.1033799 0 0.5868571 0.8096905 0 0.9130817 0.4077769 0 0.1033799 0.994642 0 0.5868571 0.8096905 0 -0.4077769 0.9130817 0 0.1033799 0.994642 0 -0.8096905 0.5868571 0 -0.4077769 0.9130817 0 -0.994642 0.1033799 0 -0.8096905 0.5868571 0 0 0 -1 -0.9130817 -0.4077769 0 -0.994642 0.1033799 0 0 0 -1 -0.5868571 -0.8096905 0 0 0 -1 0 0 -1 -0.9130817 -0.4077769 0 0 0 -1 -0.1033799 -0.994642 0 0 0 -1 -0.5868571 -0.8096905 0 0 0 -1 0.4077769 -0.9130817 0 0 0 -1 0 0 -1 -0.1033799 -0.994642 0 0 0 -1 0.8096905 -0.5868571 0 0 0 -1 0 0 -1 0.4077769 -0.9130817 0 0 0 -1 0.8096905 -0.5868571 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3647506 -0.1350427 0.9212602 -0.7134359 0.02721846 0.7001917 -0.3774032 -0.06274008 0.9239213 -0.523815 -0.4852528 0.7001054 -0.6695414 -0.2478795 0.7001929 -0.8898255 -0.2520427 0.380375 -0.2982524 -0.6488365 0.7000405 -0.523639 -0.4851619 0.7003 -0.02718555 -0.7134013 0.7002283 -0.2981696 -0.6487385 0.7001667 0.2478746 -0.6695992 0.7001393 -0.02721321 -0.7134881 0.7001388 0.4853586 -0.5238021 0.7000417 0.4852519 -0.5237362 0.7001649 0.2478668 -0.6695072 0.7002301 0.648818 -0.2981475 0.7001024 0.6486213 -0.2981157 0.7002981 0.7134359 -0.02721846 0.7001917 0.3647506 0.1350427 0.9212602 0.3774032 0.06274008 0.9239213 0.523815 0.4852528 0.7001054 0.6695414 0.2478795 0.7001929 0.8898255 0.2520427 0.380375 0.2982524 0.6488365 0.7000405 0.523639 0.4851619 0.7003 0.02718555 0.7134013 0.7002283 0.2981696 0.6487385 0.7001667 -0.2478746 0.6695992 0.7001393 0.02721321 0.7134881 0.7001388 -0.4853586 0.5238021 0.7000417 -0.4852519 0.5237362 0.7001649 -0.2478668 0.6695072 0.7002301 -0.648818 0.2981475 0.7001024 -0.6486213 0.2981157 0.7002981 -0.9119665 0.03478342 0.4087874 -0.9258071 0.03531134 0.3763434 -0.9726388 0.2323223 0 -0.9377938 -0.3471927 0 -0.9086234 0.4176164 -7.2839e-6 -0.6202563 0.6694474 0.4088059 -0.5234821 0.8520367 1.62012e-5 -0.3471927 0.9377938 0 0.03478282 0.9119514 0.4088211 0.2323353 0.9726357 0 0.4176164 0.9086234 8.67657e-6 0.7335435 0.6796426 -6.17493e-6 0.9377938 0.3471927 0 0.8306609 0.5103343 0.222624 0.9726388 -0.2323223 0 0.9119665 -0.03478342 0.4087874 0.9258071 -0.03531134 0.3763434 0.6258332 0.3844941 0.6785993 0.7144104 -0.170684 0.6785903 0.7143598 -0.1706304 0.6786571 0.1706594 0.714439 0.6785663 0.6257603 0.3844963 0.6786655 -0.3844923 0.6258122 0.6786198 0.1706112 0.7143936 0.6786264 -0.7143598 0.1706304 0.6786571 -0.3844903 0.6258813 0.6785573 -0.7144104 0.170684 0.6785903 -0.6258332 -0.3844941 0.6785994 -0.8306609 -0.5103343 0.222624 0 0 1 0.6258298 0.3845104 0.6785933 0 0 1 0.9440128 -0.2255067 0.2408037 0 0 1 0.715403 -0.07435274 0.6947448 0 0 1 0.2255293 0.9440233 0.2407417 0.9050915 0.4042022 -0.1320223 0.3509145 0.4841376 0.8015421 0 0 1 -0.3845246 0.6258243 0.6785902 0 0 1 0 0 1 0.07436639 0.7154033 0.6947429 0 0 1 -0.9440128 0.2255067 0.2408037 0 0 1 -0.4841493 0.3508923 0.8015449 -0.4042229 0.9050785 -0.1320481 0 0 1 -0.6258298 -0.3845104 0.6785933 0 0 1 -0.715403 0.07435274 0.6947448 0 0 1 -0.2255293 -0.9440233 0.2407417 -0.3509145 -0.4841376 0.8015421 -0.9050915 -0.4042022 -0.1320223 0 0 1 0.3845246 -0.6258243 0.6785902 0 0 1 0 0 1 -0.07436639 -0.7154033 0.6947429 0 0 1 0.4841493 -0.3508923 0.8015449 0.4042229 -0.9050785 -0.1320481 0.3844903 -0.6258812 0.6785573 -0.1706112 -0.7143936 0.6786263 0.3844922 -0.6258123 0.6786198 -0.6257602 -0.3844962 0.6786655 -0.1706594 -0.714439 0.6785663 0.9086234 -0.4176164 -7.2839e-6 0.6202563 -0.6694474 0.4088059 0.5234821 -0.8520367 1.62012e-5 0.3471927 -0.9377938 0 -0.03478282 -0.9119514 0.4088211 -0.2323353 -0.9726357 0 -0.4176164 -0.9086234 8.67657e-6 -0.7335435 -0.6796426 -6.17493e-6 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9946425 -0.1033744 6.85117e-6 0.9946414 -0.103385 0 0.913084 0.4077715 0 0.8097027 -0.5868404 -9.50896e-6 0.4077938 -0.9130741 0 0.407783 -0.9130789 -7.58216e-6 0.809691 -0.5868565 3.34401e-6 -0.1033932 -0.9946405 -5.39434e-6 -0.103385 -0.9946414 0 -0.5868741 -0.8096782 -8.46223e-6 -0.5868565 -0.809691 5.65519e-6 -0.913084 -0.4077715 0 -0.9130789 -0.407783 8.10579e-6 -0.9946414 0.103385 0 -0.9946425 0.1033744 6.85117e-6 0.9130789 0.407783 8.10579e-6 -0.8097027 0.5868404 -9.50896e-6 -0.4077938 0.9130741 0 -0.407783 0.9130789 -7.58216e-6 -0.809691 0.5868565 3.34401e-6 0.1033932 0.9946405 -5.39434e-6 0.103385 0.9946414 0 0.5868741 0.8096782 -8.46223e-6 0.5868565 0.809691 5.65519e-6 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 -0.5553743 -0.8316005 0 0 0 1 -0.8315781 0.5554079 0 0 0 1 -0.8315781 0.5554079 0 0 0 1 0.8315781 -0.5554079 0 0 0 1 0 0 1 -0.5553743 -0.8316005 0 0 0 1 0.5553743 0.8316005 0 0 0 1 0.8315781 -0.5554079 0 0 0 1 0 0 1 0.5553743 0.8316005 0 -0.4087516 0.1386541 0.9020516 -0.5682272 -0.4985387 0.6546579 -0.3116019 -0.3277101 0.8919139 -0.1476348 0.7413677 0.6546587 -0.7158564 0.2428266 0.654664 -0.8803914 0.3404458 0.3301629 0.5682321 0.498542 0.6546511 -0.1476349 0.7413731 0.6546524 0.4087516 -0.1386541 0.9020516 0.3116019 0.3277103 0.8919137 0.1476327 -0.7413633 0.6546642 0.715855 -0.2428258 0.6546658 0.8803915 -0.3404458 0.3301629 0.1476327 -0.7413649 0.6546624 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.5553898 -0.8315902 0 -0.8315899 0.5553901 0 -0.8315899 0.5553901 0 0.8315899 -0.5553901 0 -0.5553898 -0.8315902 0 0.5553898 0.8315901 0 0.8315899 -0.5553901 0 0.5553898 0.8315901 0 0 0 1 0 0 1 0 0 -1 -0.5682424 -0.4985293 -0.6546518 0 0 -1 -0.7159381 0.2428378 -0.6545704 0 0 -1 -0.7158699 0.2428311 -0.6546475 0 0 -1 0.147591 -0.7411597 -0.654904 0 0 -1 -0.5682845 -0.4985881 -0.6545706 0 0 -1 0.715937 -0.2428374 -0.6545719 0 0 -1 0.1475925 -0.741163 -0.6549 0 0 -1 0.5682426 0.498529 -0.6546519 0 0 -1 0.7158699 -0.2428308 -0.6546476 0 0 -1 -0.1475923 0.7411632 -0.6548998 0 0 -1 0.568286 0.4985896 -0.6545682 0 0 -1 -0.1475938 0.7411665 -0.6548957 0.9807423 0.195306 0 0.3212335 0.9470001 0 0.3212335 0.9470001 0 0.6595078 -0.7516977 0 0.9807423 0.195306 0 -0.3212335 -0.9470001 0 0.6595078 -0.7516977 0 -0.9807423 -0.195306 0 -0.3212335 -0.9470001 0 -0.6595078 0.7516977 0 -0.9807423 -0.195306 0 -0.6595078 0.7516977 0 -0.9470002 0.3212332 0 -0.9470002 0.3212332 0 -0.7516982 -0.6595073 0 -0.1953024 0.9807431 0 -0.1953024 0.9807431 0 0.751698 0.6595074 0 0.751698 0.6595074 0 0.9470002 -0.3212327 0 0.9470002 -0.3212327 0 0.7075358 0.6207613 0.3377107 -0.7516982 -0.6595073 0 -0.7075359 -0.6207612 0.3377108 0.1953017 -0.9807432 0 0.1953017 -0.9807432 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0.5553743 0.8316005 0 0 0 1 0.8315781 -0.5554079 0 0 0 1 0.8315781 -0.5554079 0 0 0 1 -0.8315781 0.5554079 0 0 0 1 0 0 1 0.5553743 0.8316005 0 0 0 1 -0.5553743 -0.8316005 0 0 0 1 -0.8315781 0.5554079 0 0 0 1 0 0 1 -0.5553743 -0.8316005 0 0.4087516 -0.1386541 0.9020516 0.5682272 0.4985387 0.6546579 0.3116019 0.3277101 0.8919139 0.1476348 -0.7413677 0.6546587 0.7158564 -0.2428266 0.654664 0.8803914 -0.3404458 0.3301629 -0.5682321 -0.498542 0.6546511 0.1476349 -0.7413731 0.6546524 -0.4087516 0.1386541 0.9020516 -0.3116019 -0.3277103 0.8919137 -0.1476327 0.7413633 0.6546642 -0.715855 0.2428258 0.6546658 -0.8803915 0.3404458 0.3301629 -0.1476327 0.7413649 0.6546624 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.5553898 0.8315902 0 0.8315899 -0.5553901 0 0.8315899 -0.5553901 0 -0.8315899 0.5553901 0 0.5553898 0.8315902 0 -0.5553898 -0.8315901 0 -0.8315899 0.5553901 0 -0.5553898 -0.8315901 0 0 0 1 0 0 1 0 0 -1 0.5682424 0.4985293 -0.6546518 0 0 -1 0.7159381 -0.2428378 -0.6545704 0 0 -1 0.7158699 -0.2428311 -0.6546475 0 0 -1 -0.147591 0.7411597 -0.654904 0 0 -1 0.5682845 0.4985881 -0.6545706 0 0 -1 -0.715937 0.2428374 -0.6545719 0 0 -1 -0.1475925 0.741163 -0.6549 0 0 -1 -0.5682426 -0.498529 -0.6546519 0 0 -1 -0.7158699 0.2428308 -0.6546476 0 0 -1 0.1475923 -0.7411632 -0.6548998 0 0 -1 -0.568286 -0.4985896 -0.6545682 0 0 -1 0.1475938 -0.7411665 -0.6548957 -0.9807423 -0.195306 0 -0.3212335 -0.9470001 0 -0.3212335 -0.9470001 0 -0.6595078 0.7516977 0 -0.9807423 -0.195306 0 0.3212335 0.9470001 0 -0.6595078 0.7516977 0 0.9807423 0.195306 0 0.3212335 0.9470001 0 0.6595078 -0.7516977 0 0.9807423 0.195306 0 0.6595078 -0.7516977 0 0.9470002 -0.3212332 0 0.9470002 -0.3212332 0 0.7516982 0.6595073 0 0.1953024 -0.9807431 0 0.1953024 -0.9807431 0 -0.751698 -0.6595074 0 -0.751698 -0.6595074 0 -0.9470002 0.3212327 0 -0.9470002 0.3212327 0 -0.7075358 -0.6207613 0.3377107 0.7516982 0.6595073 0 0.7075359 0.6207612 0.3377108 -0.1953017 0.9807432 0 -0.1953017 0.9807432 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071163 -0.7070972 0 0 0 -1 0.7071163 -0.7070972 0 0 0 -1 0.7071163 -0.7070972 0 0 0 -1 -0.7071159 0.7070977 0 0 0 -1 0 0 -1 -0.7071163 -0.7070972 0 0 0 -1 0.7071159 0.7070977 0 0 0 -1 -0.7071159 0.7070977 0 0 0 -1 0 0 -1 0.7071159 0.7070977 0 0.2157446 -0.3736573 -0.9021277 -0.37792 -0.6545355 -0.6547976 -0.2604802 -0.3694593 -0.8919921 0.7559922 0 -0.6545807 0.3779048 -0.6545506 -0.6547912 0.5059425 -0.7970206 -0.3298186 0.3779203 0.6545357 -0.6547971 0.7559922 0 -0.6545807 -0.2158593 0.3738556 -0.9020181 0.2605664 0.3696559 -0.8918855 -0.7559913 0 -0.6545816 -0.3779045 0.6545502 -0.6547918 -0.5058191 0.7969053 -0.3302862 -0.7559914 0 -0.6545816 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071069 -0.7071067 0 0.7071069 -0.7071067 0 0.7071069 -0.7071067 0 -0.7071064 0.7071072 0 -0.7071069 -0.7071067 0 0.7071064 0.7071072 0 -0.7071064 0.7071072 0 0.7071064 0.7071072 0 0 0 -1 0 0 -1 0 0 1 -0.3779644 -0.6546557 0.6546518 0 0 1 0.3779646 -0.6546533 0.654654 0 0 1 0.3779653 -0.6546554 0.6546514 0 0 1 -0.7559406 0 0.6546404 0 0 1 -0.3779672 -0.6546587 0.6546469 0 0 1 -0.3779672 0.6546615 0.6546443 0 0 1 -0.7559405 0 0.6546404 0 0 1 0.3779653 0.6546555 0.6546514 0 0 1 -0.3779653 0.6546554 0.6546514 0 0 1 0.7559286 0 0.6546541 0 0 1 0.3779652 0.6546553 0.6546516 0 0 1 0.7559286 0 0.654654 0 1 0 0.8660249 0.500001 0 0.8660249 0.500001 0 -0.8660249 0.500001 0 0 1 0 -0.8660245 -0.5000015 0 -0.8660249 0.500001 0 0 -1 0 -0.8660245 -0.5000015 0 0.8660245 -0.5000015 0 0 -1 0 0.8660245 -0.5000015 0 0.4999999 -0.8660256 0 0.4999999 -0.8660256 0 -0.4999999 -0.8660256 0 1 0 0 1 0 0 0.4999999 0.8660256 0 0.4999999 0.8660256 0 -0.4999999 0.8660256 0 -0.4999999 0.8660256 0 0.4706033 0.8151091 -0.3378307 -0.4999999 -0.8660256 0 -0.470687 -0.8152541 -0.337364 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 -0.7071307 -0.7070829 0 0 0 -1 0.7071066 -0.7071069 0 0 0 -1 0.7071066 -0.7071069 0 0 0 -1 -0.7071307 0.7070829 0 0 0 -1 0 0 -1 -0.7071307 -0.7070829 0 0 0 -1 0.7071066 0.7071069 0 0 0 -1 -0.7071307 0.7070829 0 0 0 -1 0 0 -1 0.7071066 0.7071069 0 0.2158405 -0.3738157 -0.9020391 -0.377937 -0.6545519 -0.6547714 -0.2605564 -0.3696159 -0.8919049 0.7559209 0 -0.6546629 0.3778694 -0.6544975 -0.6548647 0.5058498 -0.7969236 -0.3301947 0.3778926 0.6544748 -0.654874 0.755921 0 -0.6546629 -0.2158292 0.3737961 -0.90205 0.2605376 0.3695978 -0.891918 -0.7560982 0 -0.6544582 -0.3779239 0.654564 -0.6547668 -0.5058622 0.7969351 -0.3301482 -0.7560982 0 -0.6544582 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071072 -0.7071064 0 0.7071067 -0.7071069 0 0.7071067 -0.7071069 0 -0.7071072 0.7071064 0 -0.7071072 -0.7071064 0 0.7071067 0.7071069 0 -0.7071072 0.7071064 0 0.7071067 0.7071069 0 0 0 -1 0 0 -1 0 0 1 -0.3779752 -0.6546531 0.6546481 0 0 1 0.3779635 -0.6546637 0.6546443 0 0 1 0.3779615 -0.654657 0.6546521 0 0 1 -0.7559421 0 0.6546384 0 0 1 -0.3779757 -0.6546536 0.6546474 0 0 1 -0.3779754 0.6546534 0.6546476 0 0 1 -0.7559422 0 0.6546384 0 0 1 0.37796 0.6546575 0.6546525 0 0 1 -0.3779754 0.6546531 0.6546481 0 0 1 0.7559399 0 0.654641 0 0 1 0.3779645 0.6546624 0.654645 0 0 1 0.7559399 0 0.654641 0 1 0 0.8660216 0.5000065 0 0.8660216 0.5000065 0 -0.8660216 0.5000065 0 0 1 0 -0.8660216 -0.5000065 0 -0.8660216 0.5000065 0 0 -1 0 -0.8660216 -0.5000065 0 0.8660216 -0.5000065 0 0 -1 0 0.8660216 -0.5000065 0 0.4999951 -0.8660283 0 0.4999951 -0.8660283 0 -0.5000112 -0.866019 0 1 0 0 1 0 0 0.4999951 0.8660283 0 0.4999951 0.8660283 0 -0.5000112 0.866019 0 -0.5000112 0.866019 0 0.470623 0.8151537 -0.3376956 -0.5000112 -0.866019 0 -0.4706304 -0.8151316 -0.3377388 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0.9130933 0.4077507 0 0 0 -1 0.9946433 -0.1033672 1.60642e-4 0 0 -1 0 0 -1 0.9946413 -0.1033856 0 0 0 -1 0.5868895 0.809667 -4.23504e-4 0 0 -1 0 0 -1 0.9130839 0.4077717 1.98556e-4 0 0 -1 0.1034222 0.9946374 -5.80653e-4 0.5868564 0.8096911 -7.03759e-5 -0.4078143 0.9130648 -1.90862e-5 0.1033548 0.9946447 4.88725e-6 -0.8097274 0.5868062 6.76717e-5 -0.4077764 0.9130817 -3.77854e-4 0 0 -1 -0.9946433 0.1033672 1.60642e-4 0 0 -1 -0.809686 0.5868631 -5.39834e-4 0 0 -1 -0.9130933 -0.4077507 0 0 0 -1 0 0 -1 -0.9946413 0.1033857 0 0 0 -1 -0.5868895 -0.809667 -4.18595e-4 0 0 -1 0 0 -1 -0.9130837 -0.407772 2.01069e-4 0 0 -1 -0.1034215 -0.9946374 -5.80654e-4 -0.5868568 -0.8096907 -7.03759e-5 0.4078143 -0.9130648 -1.90862e-5 -0.103354 -0.9946447 4.81743e-6 0.8097269 -0.5868068 6.7671e-5 0.4077764 -0.9130817 -3.77854e-4 0 0 -1 0.8096855 -0.5868638 -5.39835e-4 -0.987509 -0.1575626 0 -0.3572686 -0.9340017 0 -0.987509 -0.1575626 0 -0.6301909 0.7764403 0 -0.6301909 0.7764403 0 0.3572695 0.9340014 0 0.3572695 0.9340014 0 0.987509 0.1575627 0 0.987509 0.1575627 0 0.6301909 -0.7764403 0 0.6301909 -0.7764403 0 -0.3572686 -0.9340017 0 -0.6567397 -0.2932919 0.6947467 -0.7060306 0.2700876 0.6546553 -0.6290662 0.06538683 0.7745968 -0.3711572 -0.5120883 0.7746018 -0.07433784 -0.7154027 0.6947466 -0.5869264 -0.4763889 0.6546534 0.2579036 -0.5774909 0.7745901 0.5823734 -0.422107 0.6947423 0.1191059 -0.7464969 0.654642 0.6290662 -0.06538677 0.7745968 0.7060305 -0.2700878 0.6546553 0.6567397 0.2932916 0.6947467 -0.7764303 -0.6302031 0 -0.9340008 0.3572708 0 -0.9339923 0.357293 -2.47196e-5 0.1575603 -0.9875094 9.5129e-5 -0.7764367 -0.6301953 -1.05178e-5 0.9339923 -0.3572933 -2.47194e-5 0.1575394 -0.9875127 7.31379e-5 0.9340006 -0.3572711 0 0.7764303 0.6302031 0 0.3711566 0.5120883 0.7746019 0.5869264 0.4763889 0.6546534 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7764367 0.6301953 -1.05371e-5 0 0 1 0.7764253 0.6302094 0 0.933991 -0.3572966 0 0.933991 -0.3572966 0 0 0 1 -0.1575732 0.9875074 0 0.7764253 0.6302094 0 -0.9339908 0.3572968 0 0 0 1 -0.1575732 0.9875074 0 -0.7764249 -0.6302098 0 -0.9339908 0.3572968 0 0.1575714 -0.9875076 0 -0.7764249 -0.6302098 0 0.1575714 -0.9875076 0 -0.1575387 0.9875128 7.31354e-5 -0.1575595 0.9875095 9.51289e-5 0 0 1 0 0 1 0 0 1 0 0 1 0.07433837 0.7154026 0.6947467 -0.2579036 0.5774908 0.7745903 -0.5823738 0.4221065 0.6947422 -0.1191054 0.746497 0.6546418 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4077507 0.9130933 0 0 0 -1 0.1033672 0.9946433 1.60642e-4 0 0 -1 0 0 -1 0.1033856 0.9946413 0 0 0 -1 -0.809667 0.5868895 -4.23504e-4 0 0 -1 0 0 -1 -0.4077717 0.9130839 1.98556e-4 0 0 -1 -0.9946374 0.1034222 -5.80653e-4 -0.8096911 0.5868564 -7.03759e-5 -0.9130648 -0.4078143 -1.90862e-5 -0.9946447 0.1033548 4.88725e-6 -0.5868062 -0.8097274 6.76717e-5 -0.9130817 -0.4077764 -3.77854e-4 0 0 -1 -0.1033672 -0.9946433 1.60642e-4 0 0 -1 -0.5868631 -0.809686 -5.39834e-4 0 0 -1 0.4077507 -0.9130933 0 0 0 -1 0 0 -1 -0.1033857 -0.9946413 0 0 0 -1 0.809667 -0.5868895 -4.18595e-4 0 0 -1 0 0 -1 0.407772 -0.9130837 2.01069e-4 0 0 -1 0.9946374 -0.1034215 -5.80654e-4 0.8096907 -0.5868568 -7.03759e-5 0.9130648 0.4078143 -1.90862e-5 0.9946447 -0.103354 4.81743e-6 0.5868068 0.8097269 6.7671e-5 0.9130817 0.4077764 -3.77854e-4 0 0 -1 0.5868638 0.8096855 -5.39835e-4 0.1575626 -0.987509 0 0.9340017 -0.3572686 0 0.1575626 -0.987509 0 -0.7764403 -0.6301909 0 -0.7764403 -0.6301909 0 -0.9340014 0.3572695 0 -0.9340014 0.3572695 0 -0.1575627 0.987509 0 -0.1575627 0.987509 0 0.7764403 0.6301909 0 0.7764403 0.6301909 0 0.9340017 -0.3572686 0 0.2932919 -0.6567397 0.6947467 -0.2700876 -0.7060306 0.6546553 -0.06538683 -0.6290662 0.7745968 0.5120883 -0.3711572 0.7746018 0.7154027 -0.07433784 0.6947466 0.4763889 -0.5869264 0.6546534 0.5774909 0.2579036 0.7745901 0.422107 0.5823734 0.6947423 0.7464969 0.1191059 0.654642 0.06538677 0.6290662 0.7745968 0.2700878 0.7060305 0.6546553 -0.2932916 0.6567397 0.6947467 0.6302031 -0.7764303 0 -0.3572708 -0.9340008 0 -0.357293 -0.9339923 -2.47196e-5 0.9875094 0.1575603 9.5129e-5 0.6301953 -0.7764367 -1.05178e-5 0.3572933 0.9339923 -2.47194e-5 0.9875127 0.1575394 7.31379e-5 0.3572711 0.9340006 0 -0.6302031 0.7764303 0 -0.5120883 0.3711566 0.7746019 -0.4763889 0.5869264 0.6546534 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.6301953 0.7764367 -1.05371e-5 0 0 1 -0.6302094 0.7764253 0 0.3572966 0.933991 0 0.3572966 0.933991 0 0 0 1 -0.9875074 -0.1575732 0 -0.6302094 0.7764253 0 -0.3572968 -0.9339908 0 0 0 1 -0.9875074 -0.1575732 0 0.6302098 -0.7764249 0 -0.3572968 -0.9339908 0 0.9875076 0.1575714 0 0.6302098 -0.7764249 0 0.9875076 0.1575714 0 -0.9875128 -0.1575387 7.31354e-5 -0.9875095 -0.1575595 9.51289e-5 0 0 1 0 0 1 0 0 1 0 0 1 -0.7154026 0.07433837 0.6947467 -0.5774908 -0.2579036 0.7745903 -0.4221065 -0.5823738 0.6947422 -0.746497 -0.1191054 0.6546418 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9130933 -0.4077507 0 0 0 -1 -0.9946433 0.1033672 1.60642e-4 0 0 -1 0 0 -1 -0.9946413 0.1033856 0 0 0 -1 -0.5868895 -0.809667 -4.23504e-4 0 0 -1 0 0 -1 -0.9130839 -0.4077717 1.98556e-4 0 0 -1 -0.1034222 -0.9946374 -5.80653e-4 -0.5868564 -0.8096911 -7.03759e-5 0.4078143 -0.9130648 -1.90862e-5 -0.1033548 -0.9946447 4.88725e-6 0.8097274 -0.5868062 6.76717e-5 0.4077764 -0.9130817 -3.77854e-4 0 0 -1 0.9946433 -0.1033672 1.60642e-4 0 0 -1 0.809686 -0.5868631 -5.39834e-4 0 0 -1 0.9130933 0.4077507 0 0 0 -1 0 0 -1 0.9946413 -0.1033857 0 0 0 -1 0.5868895 0.809667 -4.18595e-4 0 0 -1 0 0 -1 0.9130837 0.407772 2.01069e-4 0 0 -1 0.1034215 0.9946374 -5.80654e-4 0.5868568 0.8096907 -7.03759e-5 -0.4078143 0.9130648 -1.90862e-5 0.103354 0.9946447 4.81743e-6 -0.8097269 0.5868068 6.7671e-5 -0.4077764 0.9130817 -3.77854e-4 0 0 -1 -0.8096855 0.5868638 -5.39835e-4 0.987509 0.1575626 0 0.3572686 0.9340017 0 0.987509 0.1575626 0 0.6301909 -0.7764403 0 0.6301909 -0.7764403 0 -0.3572695 -0.9340014 0 -0.3572695 -0.9340014 0 -0.987509 -0.1575627 0 -0.987509 -0.1575627 0 -0.6301909 0.7764403 0 -0.6301909 0.7764403 0 0.3572686 0.9340017 0 0.6567397 0.2932919 0.6947467 0.7060306 -0.2700876 0.6546553 0.6290662 -0.06538683 0.7745968 0.3711572 0.5120883 0.7746018 0.07433784 0.7154027 0.6947466 0.5869264 0.4763889 0.6546534 -0.2579036 0.5774909 0.7745901 -0.5823734 0.422107 0.6947423 -0.1191059 0.7464969 0.654642 -0.6290662 0.06538677 0.7745968 -0.7060305 0.2700878 0.6546553 -0.6567397 -0.2932916 0.6947467 0.7764303 0.6302031 0 0.9340008 -0.3572708 0 0.9339923 -0.357293 -2.47196e-5 -0.1575603 0.9875094 9.5129e-5 0.7764367 0.6301953 -1.05178e-5 -0.9339923 0.3572933 -2.47194e-5 -0.1575394 0.9875127 7.31379e-5 -0.9340006 0.3572711 0 -0.7764303 -0.6302031 0 -0.3711566 -0.5120883 0.7746019 -0.5869264 -0.4763889 0.6546534 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7764367 -0.6301953 -1.05371e-5 0 0 1 -0.7764253 -0.6302094 0 -0.933991 0.3572966 0 -0.933991 0.3572966 0 0 0 1 0.1575732 -0.9875074 0 -0.7764253 -0.6302094 0 0.9339908 -0.3572968 0 0 0 1 0.1575732 -0.9875074 0 0.7764249 0.6302098 0 0.9339908 -0.3572968 0 -0.1575714 0.9875076 0 0.7764249 0.6302098 0 -0.1575714 0.9875076 0 0.1575387 -0.9875128 7.31354e-5 0.1575595 -0.9875095 9.51289e-5 0 0 1 0 0 1 0 0 1 0 0 1 -0.07433837 -0.7154026 0.6947467 0.2579036 -0.5774908 0.7745903 0.5823738 -0.4221065 0.6947422 0.1191054 -0.746497 0.6546418 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4077507 -0.9130933 0 0 0 -1 -0.1033672 -0.9946433 1.60642e-4 0 0 -1 0 0 -1 -0.1033856 -0.9946413 0 0 0 -1 0.809667 -0.5868895 -4.23504e-4 0 0 -1 0 0 -1 0.4077717 -0.9130839 1.98556e-4 0 0 -1 0.9946374 -0.1034222 -5.80653e-4 0.8096911 -0.5868564 -7.03759e-5 0.9130648 0.4078143 -1.90862e-5 0.9946447 -0.1033548 4.88725e-6 0.5868062 0.8097274 6.76717e-5 0.9130817 0.4077764 -3.77854e-4 0 0 -1 0.1033672 0.9946433 1.60642e-4 0 0 -1 0.5868631 0.809686 -5.39834e-4 0 0 -1 -0.4077507 0.9130933 0 0 0 -1 0 0 -1 0.1033857 0.9946413 0 0 0 -1 -0.809667 0.5868895 -4.18595e-4 0 0 -1 0 0 -1 -0.407772 0.9130837 2.01069e-4 0 0 -1 -0.9946374 0.1034215 -5.80654e-4 -0.8096907 0.5868568 -7.03759e-5 -0.9130648 -0.4078143 -1.90862e-5 -0.9946447 0.103354 4.81743e-6 -0.5868068 -0.8097269 6.7671e-5 -0.9130817 -0.4077764 -3.77854e-4 0 0 -1 -0.5868638 -0.8096855 -5.39835e-4 -0.1575626 0.987509 0 -0.9340017 0.3572686 0 -0.1575626 0.987509 0 0.7764403 0.6301909 0 0.7764403 0.6301909 0 0.9340014 -0.3572695 0 0.9340014 -0.3572695 0 0.1575627 -0.987509 0 0.1575627 -0.987509 0 -0.7764403 -0.6301909 0 -0.7764403 -0.6301909 0 -0.9340017 0.3572686 0 -0.2932919 0.6567397 0.6947467 0.2700876 0.7060306 0.6546553 0.06538683 0.6290662 0.7745968 -0.5120883 0.3711572 0.7746018 -0.7154027 0.07433784 0.6947466 -0.4763889 0.5869264 0.6546534 -0.5774909 -0.2579036 0.7745901 -0.422107 -0.5823734 0.6947423 -0.7464969 -0.1191059 0.654642 -0.06538677 -0.6290662 0.7745968 -0.2700878 -0.7060305 0.6546553 0.2932916 -0.6567397 0.6947467 -0.6302031 0.7764303 0 0.3572708 0.9340008 0 0.357293 0.9339923 -2.47196e-5 -0.9875094 -0.1575603 9.5129e-5 -0.6301953 0.7764367 -1.05178e-5 -0.3572933 -0.9339923 -2.47194e-5 -0.9875127 -0.1575394 7.31379e-5 -0.3572711 -0.9340006 0 0.6302031 -0.7764303 0 0.5120883 -0.3711566 0.7746019 0.4763889 -0.5869264 0.6546534 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.6301953 -0.7764367 -1.05371e-5 0 0 1 0.6302094 -0.7764253 0 -0.3572966 -0.933991 0 -0.3572966 -0.933991 0 0 0 1 0.9875074 0.1575732 0 0.6302094 -0.7764253 0 0.3572968 0.9339908 0 0 0 1 0.9875074 0.1575732 0 -0.6302098 0.7764249 0 0.3572968 0.9339908 0 -0.9875076 -0.1575714 0 -0.6302098 0.7764249 0 -0.9875076 -0.1575714 0 0.9875128 0.1575387 7.31354e-5 0.9875095 0.1575595 9.51289e-5 0 0 1 0 0 1 0 0 1 0 0 1 0.7154026 -0.07433837 0.6947467 0.5774908 0.2579036 0.7745903 0.4221065 0.5823738 0.6947422 0.746497 0.1191054 0.6546418 0 0 -1 0 0 -1 0 0 -1 0 0 -1</float_array>
+ <technique_common>
+ <accessor source="#base-mesh-normals-array" count="9188" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="base-mesh-vertices">
+ <input semantic="POSITION" source="#base-mesh-positions"/>
+ </vertices>
+ <polylist material="aluminum-material" count="9188">
+ <input semantic="VERTEX" source="#base-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#base-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 4 2 5 2 2 2 5 3 6 3 0 3 7 4 4 4 2 4 0 5 2 5 5 5 3 6 7 6 2 6 8 7 9 7 1 7 10 8 1 8 9 8 11 9 8 9 1 9 12 10 11 10 1 10 13 11 12 11 1 11 14 12 13 12 1 12 0 13 14 13 1 13 3 14 1 14 10 14 15 15 16 15 9 15 17 16 9 16 16 16 9 17 18 17 19 17 8 18 18 18 9 18 10 19 9 19 17 19 20 20 16 20 15 20 17 21 16 21 20 21 19 22 21 22 15 22 22 23 15 23 21 23 19 24 15 24 9 24 20 25 15 25 22 25 23 26 5 26 21 26 24 27 21 27 5 27 25 28 21 28 19 28 26 29 23 29 21 29 27 30 26 30 21 30 28 31 27 31 21 31 25 32 28 32 21 32 22 33 21 33 24 33 29 34 5 34 4 34 23 35 6 35 5 35 24 36 5 36 29 36 29 37 4 37 7 37 30 38 19 38 18 38 31 39 25 39 19 39 31 40 19 40 30 40 32 41 18 41 8 41 32 42 30 42 18 42 33 43 8 43 11 43 32 44 8 44 33 44 34 45 11 45 12 45 33 46 11 46 34 46 35 47 12 47 13 47 34 48 12 48 35 48 36 49 13 49 14 49 35 50 13 50 36 50 37 51 14 51 0 51 36 52 14 52 37 52 38 53 0 53 6 53 37 54 0 54 38 54 39 55 6 55 23 55 38 56 6 56 39 56 40 57 23 57 26 57 39 58 23 58 40 58 41 59 26 59 27 59 40 60 26 60 41 60 42 61 27 61 28 61 41 62 27 62 42 62 43 63 28 63 25 63 42 64 28 64 43 64 43 65 25 65 31 65 44 66 45 66 46 66 47 67 46 67 45 67 48 68 45 68 44 68 48 69 47 69 45 69 49 70 46 70 50 70 51 71 50 71 46 71 44 72 46 72 49 72 51 73 46 73 47 73 52 74 50 74 53 74 54 75 53 75 50 75 49 76 50 76 52 76 54 77 50 77 51 77 55 78 53 78 56 78 57 79 56 79 53 79 52 80 53 80 55 80 57 81 53 81 54 81 55 82 56 82 58 82 59 83 58 83 56 83 59 84 56 84 57 84 60 85 55 85 58 85 59 86 60 86 58 86 61 87 52 87 55 87 61 88 55 88 60 88 62 89 49 89 52 89 62 90 52 90 61 90 63 91 44 91 49 91 63 92 49 92 62 92 48 93 44 93 63 93 24 94 29 94 7 94 3 95 24 95 7 95 3 96 22 96 24 96 10 97 20 97 22 97 3 98 10 98 22 98 10 99 17 99 20 99 64 100 31 100 30 100 65 101 30 101 32 101 65 102 66 102 30 102 64 103 30 103 66 103 67 104 43 104 31 104 64 105 67 105 31 105 40 106 42 106 43 106 39 107 40 107 43 107 68 108 39 108 43 108 67 109 68 109 43 109 40 110 41 110 42 110 69 111 38 111 39 111 68 112 69 112 39 112 70 113 37 113 38 113 71 114 70 114 38 114 69 115 71 115 38 115 72 116 36 116 37 116 70 117 72 117 37 117 33 118 35 118 36 118 32 119 33 119 36 119 73 120 32 120 36 120 72 121 73 121 36 121 33 122 34 122 35 122 73 123 65 123 32 123 74 124 66 124 65 124 75 125 64 125 66 125 75 126 66 126 74 126 76 127 65 127 73 127 76 128 74 128 65 128 77 129 73 129 72 129 76 130 73 130 77 130 78 131 72 131 70 131 77 132 72 132 78 132 79 133 70 133 71 133 78 134 70 134 79 134 80 135 71 135 69 135 79 136 71 136 80 136 81 137 69 137 68 137 80 138 69 138 81 138 82 139 68 139 67 139 81 140 68 140 82 140 83 141 67 141 64 141 82 142 67 142 83 142 83 143 64 143 75 143 61 144 60 144 47 144 51 145 47 145 60 145 48 146 61 146 47 146 59 147 51 147 60 147 48 148 62 148 61 148 48 149 63 149 62 149 59 150 54 150 51 150 59 151 57 151 54 151 80 152 75 152 74 152 79 153 80 153 74 153 76 154 79 154 74 154 81 155 83 155 75 155 80 156 81 156 75 156 81 157 82 157 83 157 76 158 78 158 79 158 76 159 77 159 78 159 84 160 85 160 86 160 87 161 86 161 85 161 88 162 86 162 89 162 90 163 89 163 86 163 88 164 91 164 86 164 84 165 86 165 91 165 87 166 90 166 86 166 92 167 93 167 85 167 94 168 85 168 93 168 84 169 92 169 85 169 94 170 87 170 85 170 95 171 96 171 93 171 97 172 93 172 96 172 92 173 95 173 93 173 97 174 94 174 93 174 98 175 99 175 96 175 100 176 96 176 99 176 98 177 96 177 101 177 95 178 101 178 96 178 100 179 97 179 96 179 102 180 103 180 99 180 104 181 99 181 103 181 105 182 102 182 99 182 98 183 105 183 99 183 100 184 99 184 104 184 106 185 107 185 103 185 108 186 103 186 107 186 106 187 103 187 102 187 108 188 104 188 103 188 109 189 89 189 107 189 110 190 107 190 89 190 111 191 109 191 107 191 106 192 111 192 107 192 110 193 108 193 107 193 112 194 88 194 89 194 109 195 112 195 89 195 90 196 110 196 89 196 113 197 114 197 115 197 116 198 115 198 114 198 113 199 115 199 117 199 118 200 117 200 115 200 116 201 118 201 115 201 119 202 120 202 114 202 121 203 114 203 120 203 122 204 119 204 114 204 113 205 122 205 114 205 121 206 116 206 114 206 84 207 123 207 120 207 124 208 120 208 123 208 84 209 120 209 119 209 124 210 121 210 120 210 84 211 125 211 123 211 126 212 123 212 125 212 126 213 124 213 123 213 127 214 128 214 125 214 129 215 125 215 128 215 127 216 125 216 84 216 126 217 125 217 129 217 130 218 131 218 128 218 132 219 128 219 131 219 127 220 130 220 128 220 132 221 129 221 128 221 113 222 117 222 131 222 133 223 131 223 117 223 130 224 113 224 131 224 133 225 132 225 131 225 118 226 133 226 117 226 134 227 135 227 136 227 137 228 136 228 135 228 138 229 136 229 139 229 140 230 139 230 136 230 138 231 141 231 136 231 134 232 136 232 141 232 137 233 140 233 136 233 142 234 143 234 135 234 144 235 135 235 143 235 134 236 142 236 135 236 144 237 137 237 135 237 145 238 146 238 143 238 147 239 143 239 146 239 145 240 143 240 142 240 147 241 144 241 143 241 148 242 149 242 146 242 150 243 146 243 149 243 148 244 146 244 151 244 145 245 151 245 146 245 150 246 147 246 146 246 119 247 152 247 149 247 153 248 149 248 152 248 154 249 119 249 149 249 148 250 154 250 149 250 150 251 149 251 153 251 122 252 155 252 152 252 156 253 152 253 155 253 122 254 152 254 119 254 156 255 153 255 152 255 157 256 139 256 155 256 158 257 155 257 139 257 159 258 157 258 155 258 122 259 159 259 155 259 158 260 156 260 155 260 160 261 138 261 139 261 157 262 160 262 139 262 140 263 158 263 139 263 161 264 162 264 163 264 164 265 163 265 162 265 161 266 163 266 165 266 166 267 165 267 163 267 164 268 166 268 163 268 102 269 167 269 162 269 168 270 162 270 167 270 106 271 102 271 162 271 161 272 106 272 162 272 168 273 164 273 162 273 134 274 169 274 167 274 170 275 167 275 169 275 134 276 167 276 102 276 170 277 168 277 167 277 134 278 171 278 169 278 172 279 169 279 171 279 172 280 170 280 169 280 173 281 174 281 171 281 175 282 171 282 174 282 173 283 171 283 134 283 172 284 171 284 175 284 176 285 177 285 174 285 178 286 174 286 177 286 173 287 176 287 174 287 178 288 175 288 174 288 161 289 165 289 177 289 179 290 177 290 165 290 161 291 177 291 176 291 179 292 178 292 177 292 166 293 179 293 165 293 84 294 180 294 181 294 182 295 181 295 180 295 84 296 181 296 109 296 183 297 109 297 181 297 183 298 181 298 182 298 84 299 91 299 180 299 184 300 180 300 91 300 184 301 182 301 180 301 185 302 91 302 88 302 184 303 91 303 185 303 186 304 88 304 112 304 185 305 88 305 186 305 187 306 112 306 109 306 186 307 112 307 187 307 188 308 84 308 109 308 189 309 188 309 109 309 111 310 189 310 109 310 187 311 109 311 183 311 145 312 190 312 151 312 191 313 151 313 190 313 192 314 148 314 151 314 192 315 151 315 191 315 84 316 193 316 190 316 194 317 190 317 193 317 145 318 84 318 190 318 194 319 191 319 190 319 84 320 119 320 193 320 195 321 193 321 119 321 194 322 193 322 195 322 196 323 119 323 154 323 195 324 119 324 196 324 197 325 154 325 148 325 196 326 154 326 197 326 197 327 148 327 192 327 134 328 198 328 199 328 200 329 199 329 198 329 134 330 199 330 157 330 201 331 157 331 199 331 201 332 199 332 200 332 134 333 141 333 198 333 202 334 198 334 141 334 202 335 200 335 198 335 203 336 141 336 138 336 202 337 141 337 203 337 204 338 138 338 160 338 203 339 138 339 204 339 205 340 160 340 157 340 204 341 160 341 205 341 206 342 134 342 157 342 207 343 206 343 157 343 159 344 207 344 157 344 205 345 157 345 201 345 95 346 208 346 101 346 209 347 101 347 208 347 210 348 98 348 101 348 210 349 101 349 209 349 134 350 211 350 208 350 212 351 208 351 211 351 95 352 134 352 208 352 212 353 209 353 208 353 134 354 102 354 211 354 213 355 211 355 102 355 212 356 211 356 213 356 214 357 102 357 105 357 213 358 102 358 214 358 215 359 105 359 98 359 214 360 105 360 215 360 215 361 98 361 210 361 145 362 142 362 216 362 217 363 216 363 142 363 218 364 145 364 216 364 217 365 218 365 216 365 219 366 142 366 134 366 217 367 142 367 219 367 220 368 134 368 95 368 206 369 173 369 134 369 220 370 219 370 134 370 92 371 221 371 95 371 222 372 95 372 221 372 220 373 95 373 222 373 223 374 221 374 92 374 223 375 222 375 221 375 224 376 92 376 84 376 223 377 92 377 224 377 225 378 84 378 145 378 188 379 127 379 84 379 224 380 84 380 225 380 225 381 145 381 218 381 226 382 176 382 173 382 227 383 161 383 176 383 227 384 176 384 226 384 228 385 173 385 206 385 228 386 226 386 173 386 229 387 206 387 207 387 228 388 206 388 229 388 230 389 207 389 159 389 229 390 207 390 230 390 231 391 159 391 122 391 230 392 159 392 231 392 232 393 122 393 113 393 231 394 122 394 232 394 233 395 113 395 130 395 232 396 113 396 233 396 234 397 130 397 127 397 233 398 130 398 234 398 235 399 127 399 188 399 234 400 127 400 235 400 236 401 188 401 189 401 235 402 188 402 236 402 237 403 189 403 111 403 236 404 189 404 237 404 238 405 111 405 106 405 237 406 111 406 238 406 239 407 106 407 161 407 238 408 106 408 239 408 239 409 161 409 227 409 240 410 241 410 242 410 156 411 242 411 241 411 243 412 240 412 242 412 244 413 243 413 242 413 245 414 244 414 242 414 245 415 242 415 246 415 247 416 246 416 242 416 158 417 242 417 156 417 247 418 242 418 158 418 240 419 248 419 241 419 156 420 241 420 248 420 240 421 249 421 248 421 153 422 248 422 249 422 156 423 248 423 153 423 240 424 250 424 249 424 153 425 249 425 250 425 251 426 250 426 240 426 150 427 153 427 250 427 252 428 150 428 250 428 253 429 252 429 250 429 251 430 253 430 250 430 251 431 240 431 243 431 254 432 255 432 243 432 256 433 243 433 255 433 244 434 254 434 243 434 256 435 251 435 243 435 257 436 258 436 255 436 259 437 255 437 258 437 260 438 257 438 255 438 261 439 260 439 255 439 254 440 261 440 255 440 259 441 256 441 255 441 121 442 258 442 257 442 262 443 258 443 121 443 263 444 258 444 262 444 259 445 258 445 263 445 121 446 257 446 260 446 261 447 264 447 260 447 116 448 260 448 264 448 121 449 260 449 116 449 261 450 265 450 264 450 118 451 264 451 265 451 116 452 264 452 118 452 266 453 265 453 261 453 266 454 267 454 265 454 268 455 265 455 267 455 268 456 118 456 265 456 269 457 261 457 254 457 266 458 261 458 269 458 270 459 254 459 244 459 271 460 254 460 270 460 269 461 254 461 271 461 272 462 244 462 245 462 270 463 244 463 272 463 273 464 274 464 275 464 132 465 275 465 274 465 276 466 273 466 275 466 268 467 267 467 275 467 276 468 275 468 267 468 133 469 275 469 132 469 268 470 275 470 133 470 273 471 277 471 274 471 132 472 274 472 277 472 273 473 278 473 277 473 129 474 277 474 278 474 132 475 277 475 129 475 279 476 280 476 278 476 129 477 278 477 280 477 273 478 279 478 278 478 281 479 280 479 279 479 126 480 129 480 280 480 282 481 126 481 280 481 283 482 282 482 280 482 284 483 283 483 280 483 281 484 284 484 280 484 285 485 286 485 279 485 281 486 279 486 286 486 287 487 285 487 279 487 273 488 287 488 279 488 288 489 289 489 286 489 290 490 286 490 289 490 291 491 288 491 286 491 292 492 291 492 286 492 293 493 292 493 286 493 285 494 293 494 286 494 290 495 281 495 286 495 294 496 295 496 289 496 296 497 289 497 295 497 288 498 294 498 289 498 296 499 290 499 289 499 94 500 295 500 294 500 297 501 295 501 94 501 298 502 295 502 297 502 296 503 295 503 298 503 94 504 294 504 288 504 87 505 288 505 291 505 94 506 288 506 87 506 90 507 291 507 292 507 87 508 291 508 90 508 299 509 292 509 293 509 300 510 292 510 299 510 300 511 90 511 292 511 301 512 293 512 285 512 299 513 293 513 301 513 302 514 285 514 287 514 301 515 285 515 303 515 302 516 303 516 285 516 302 517 287 517 273 517 276 518 302 518 273 518 304 519 305 519 306 519 307 520 306 520 305 520 308 521 304 521 306 521 309 522 308 522 306 522 310 523 309 523 306 523 310 524 306 524 311 524 307 525 311 525 306 525 304 526 312 526 305 526 307 527 305 527 312 527 313 528 314 528 312 528 315 529 312 529 314 529 316 530 313 530 312 530 317 531 316 531 312 531 304 532 317 532 312 532 307 533 312 533 315 533 178 534 314 534 313 534 318 535 319 535 314 535 315 536 314 536 319 536 179 537 314 537 178 537 318 538 314 538 179 538 178 539 313 539 316 539 175 540 316 540 317 540 178 541 316 541 175 541 304 542 320 542 317 542 175 543 317 543 320 543 321 544 320 544 304 544 172 545 175 545 320 545 322 546 172 546 320 546 323 547 322 547 320 547 323 548 320 548 324 548 321 549 324 549 320 549 321 550 304 550 308 550 325 551 326 551 308 551 327 552 308 552 326 552 328 553 325 553 308 553 329 554 328 554 308 554 309 555 329 555 308 555 327 556 321 556 308 556 330 557 331 557 326 557 332 558 326 558 331 558 325 559 330 559 326 559 332 560 327 560 326 560 144 561 331 561 330 561 333 562 331 562 144 562 334 563 331 563 333 563 332 564 331 564 334 564 144 565 330 565 325 565 137 566 325 566 328 566 144 567 325 567 137 567 140 568 328 568 329 568 137 569 328 569 140 569 246 570 329 570 309 570 247 571 329 571 246 571 247 572 140 572 329 572 246 573 309 573 310 573 335 574 336 574 337 574 108 575 337 575 336 575 338 576 335 576 337 576 339 577 338 577 337 577 340 578 339 578 337 578 340 579 337 579 299 579 300 580 299 580 337 580 110 581 337 581 108 581 300 582 337 582 110 582 335 583 341 583 336 583 108 584 336 584 341 584 335 585 342 585 341 585 104 586 341 586 342 586 108 587 341 587 104 587 335 588 343 588 342 588 104 589 342 589 343 589 344 590 343 590 335 590 100 591 104 591 343 591 345 592 100 592 343 592 346 593 345 593 343 593 344 594 346 594 343 594 344 595 335 595 338 595 347 596 348 596 338 596 349 597 338 597 348 597 339 598 347 598 338 598 349 599 344 599 338 599 350 600 351 600 348 600 352 601 348 601 351 601 353 602 350 602 348 602 354 603 353 603 348 603 347 604 354 604 348 604 352 605 349 605 348 605 168 606 351 606 350 606 355 607 351 607 168 607 356 608 351 608 355 608 352 609 351 609 356 609 168 610 350 610 353 610 354 611 357 611 353 611 164 612 353 612 357 612 168 613 353 613 164 613 354 614 358 614 357 614 166 615 357 615 358 615 164 616 357 616 166 616 359 617 358 617 354 617 319 618 358 618 359 618 318 619 358 619 319 619 318 620 166 620 358 620 360 621 354 621 347 621 359 622 354 622 360 622 361 623 347 623 339 623 362 624 347 624 361 624 360 625 347 625 362 625 363 626 339 626 340 626 361 627 339 627 363 627 364 628 225 628 218 628 365 629 218 629 366 629 367 630 366 630 218 630 368 631 364 631 218 631 369 632 368 632 218 632 370 633 369 633 218 633 371 634 370 634 218 634 372 635 371 635 218 635 365 636 372 636 218 636 367 637 218 637 217 637 373 638 374 638 225 638 224 639 225 639 374 639 364 640 373 640 225 640 365 641 366 641 374 641 375 642 374 642 366 642 376 643 377 643 374 643 378 644 374 644 377 644 373 645 376 645 374 645 379 646 365 646 374 646 378 647 379 647 374 647 380 648 224 648 374 648 381 649 380 649 374 649 382 650 381 650 374 650 184 651 382 651 374 651 182 652 374 652 375 652 184 653 374 653 182 653 383 654 366 654 367 654 384 655 375 655 366 655 385 656 384 656 366 656 196 657 385 657 366 657 383 658 386 658 366 658 191 659 366 659 386 659 194 660 366 660 191 660 195 661 196 661 366 661 194 662 195 662 366 662 387 663 377 663 376 663 388 664 378 664 377 664 389 665 388 665 377 665 389 666 377 666 387 666 390 667 376 667 373 667 387 668 376 668 390 668 391 669 373 669 364 669 392 670 373 670 391 670 393 671 373 671 392 671 390 672 373 672 393 672 283 673 364 673 368 673 391 674 364 674 283 674 394 675 368 675 369 675 395 676 368 676 394 676 283 677 368 677 395 677 396 678 369 678 370 678 397 679 369 679 396 679 394 680 369 680 397 680 398 681 370 681 371 681 399 682 396 682 370 682 399 683 370 683 398 683 400 684 371 684 372 684 398 685 371 685 400 685 401 686 372 686 365 686 402 687 372 687 401 687 403 688 372 688 402 688 400 689 372 689 403 689 404 690 365 690 379 690 401 691 365 691 404 691 405 692 379 692 378 692 406 693 379 693 405 693 404 694 379 694 406 694 407 695 405 695 378 695 407 696 378 696 388 696 367 697 217 697 219 697 408 698 367 698 219 698 409 699 408 699 219 699 409 700 219 700 220 700 410 701 367 701 408 701 410 702 383 702 367 702 410 703 408 703 409 703 411 704 220 704 222 704 412 705 222 705 413 705 414 706 413 706 222 706 415 707 411 707 222 707 416 708 415 708 222 708 417 709 416 709 222 709 418 710 417 710 222 710 419 711 418 711 222 711 412 712 419 712 222 712 414 713 222 713 223 713 420 714 409 714 220 714 411 715 420 715 220 715 412 716 413 716 409 716 421 717 409 717 413 717 422 718 423 718 409 718 424 719 409 719 423 719 420 720 422 720 409 720 425 721 412 721 409 721 424 722 425 722 409 722 202 723 410 723 409 723 200 724 409 724 421 724 202 725 409 725 200 725 426 726 413 726 414 726 427 727 421 727 413 727 428 728 427 728 413 728 214 729 428 729 413 729 209 730 413 730 426 730 212 731 413 731 209 731 213 732 214 732 413 732 212 733 213 733 413 733 429 734 423 734 422 734 430 735 424 735 423 735 431 736 430 736 423 736 431 737 423 737 429 737 432 738 422 738 420 738 429 739 422 739 432 739 433 740 420 740 411 740 433 741 434 741 420 741 435 742 420 742 434 742 432 743 420 743 435 743 323 744 411 744 415 744 433 745 411 745 323 745 436 746 415 746 416 746 437 747 415 747 436 747 323 748 415 748 437 748 438 749 416 749 417 749 439 750 416 750 438 750 436 751 416 751 439 751 440 752 417 752 418 752 441 753 417 753 440 753 438 754 417 754 441 754 442 755 418 755 419 755 440 756 418 756 442 756 443 757 419 757 412 757 444 758 419 758 445 758 443 759 445 759 419 759 442 760 419 760 444 760 446 761 412 761 425 761 443 762 412 762 446 762 447 763 425 763 424 763 448 764 425 764 447 764 446 765 425 765 448 765 449 766 424 766 430 766 447 767 424 767 449 767 414 768 223 768 224 768 380 769 414 769 224 769 381 770 414 770 380 770 426 771 414 771 381 771 450 772 381 772 382 772 451 773 426 773 381 773 452 774 381 774 450 774 452 775 451 775 381 775 187 776 453 776 382 776 454 777 382 777 453 777 186 778 187 778 382 778 185 779 186 779 382 779 184 780 185 780 382 780 454 781 450 781 382 781 187 782 455 782 453 782 456 783 453 783 455 783 456 784 454 784 453 784 183 785 375 785 455 785 457 786 455 786 375 786 187 787 183 787 455 787 457 788 456 788 455 788 458 789 375 789 384 789 183 790 182 790 375 790 458 791 457 791 375 791 459 792 384 792 385 792 460 793 458 793 384 793 459 794 460 794 384 794 197 795 386 795 385 795 461 796 385 796 386 796 196 797 197 797 385 797 461 798 459 798 385 798 462 799 386 799 383 799 192 800 191 800 386 800 197 801 192 801 386 801 462 802 461 802 386 802 463 803 383 803 410 803 463 804 462 804 383 804 203 805 464 805 410 805 465 806 410 806 464 806 202 807 203 807 410 807 466 808 463 808 410 808 465 809 466 809 410 809 205 810 467 810 464 810 468 811 464 811 467 811 204 812 205 812 464 812 203 813 204 813 464 813 468 814 465 814 464 814 205 815 421 815 467 815 469 816 467 816 421 816 469 817 468 817 467 817 470 818 421 818 427 818 201 819 200 819 421 819 205 820 201 820 421 820 470 821 469 821 421 821 471 822 427 822 428 822 472 823 470 823 427 823 471 824 472 824 427 824 214 825 473 825 428 825 474 826 428 826 473 826 474 827 471 827 428 827 209 828 426 828 473 828 475 829 473 829 426 829 210 830 209 830 473 830 215 831 210 831 473 831 214 832 215 832 473 832 475 833 474 833 473 833 451 834 475 834 426 834 476 835 450 835 454 835 477 836 452 836 450 836 478 837 477 837 450 837 476 838 478 838 450 838 479 839 454 839 456 839 480 840 476 840 454 840 479 841 480 841 454 841 481 842 456 842 457 842 481 843 479 843 456 843 482 844 457 844 458 844 482 845 481 845 457 845 483 846 458 846 460 846 484 847 482 847 458 847 483 848 484 848 458 848 483 849 460 849 459 849 485 850 459 850 461 850 486 851 483 851 459 851 487 852 486 852 459 852 485 853 487 853 459 853 488 854 461 854 462 854 488 855 485 855 461 855 489 856 462 856 463 856 489 857 488 857 462 857 490 858 463 858 466 858 490 859 491 859 463 859 489 860 463 860 491 860 492 861 466 861 465 861 493 862 490 862 466 862 492 863 493 863 466 863 494 864 465 864 468 864 495 865 492 865 465 865 494 866 495 866 465 866 496 867 468 867 469 867 496 868 494 868 468 868 497 869 469 869 470 869 497 870 496 870 469 870 498 871 470 871 472 871 499 872 497 872 470 872 498 873 499 873 470 873 500 874 472 874 471 874 500 875 498 875 472 875 501 876 471 876 474 876 501 877 500 877 471 877 502 878 474 878 475 878 503 879 501 879 474 879 502 880 503 880 474 880 504 881 475 881 451 881 505 882 502 882 475 882 504 883 505 883 475 883 506 884 451 884 452 884 506 885 504 885 451 885 507 886 506 886 452 886 477 887 507 887 452 887 359 888 227 888 226 888 319 889 359 889 226 889 228 890 319 890 226 890 362 891 239 891 227 891 360 892 362 892 227 892 359 893 360 893 227 893 363 894 238 894 239 894 361 895 363 895 239 895 362 896 361 896 239 896 301 897 237 897 238 897 299 898 301 898 238 898 340 899 299 899 238 899 363 900 340 900 238 900 508 901 236 901 237 901 303 902 508 902 237 902 301 903 303 903 237 903 509 904 235 904 236 904 510 905 509 905 236 905 508 906 510 906 236 906 267 907 234 907 235 907 511 908 267 908 235 908 509 909 511 909 235 909 266 910 234 910 267 910 266 911 233 911 234 911 276 912 267 912 511 912 276 913 511 913 509 913 276 914 509 914 510 914 302 915 510 915 508 915 276 916 510 916 302 916 302 917 508 917 303 917 512 918 319 918 228 918 315 919 319 919 512 919 271 920 232 920 233 920 269 921 271 921 233 921 266 922 269 922 233 922 272 923 231 923 232 923 270 924 272 924 232 924 271 925 270 925 232 925 310 926 230 926 231 926 246 927 310 927 231 927 245 928 246 928 231 928 272 929 245 929 231 929 513 930 229 930 230 930 311 931 513 931 230 931 310 932 311 932 230 932 514 933 228 933 229 933 515 934 514 934 229 934 513 935 515 935 229 935 514 936 512 936 228 936 315 937 512 937 514 937 315 938 514 938 515 938 307 939 515 939 513 939 307 940 315 940 515 940 307 941 513 941 311 941 300 942 110 942 90 942 297 943 94 943 97 943 345 944 97 944 100 944 345 945 297 945 97 945 477 946 297 946 345 946 478 947 297 947 477 947 476 948 297 948 478 948 516 949 297 949 476 949 298 950 297 950 516 950 256 951 517 951 251 951 477 952 345 952 507 952 518 953 507 953 345 953 346 954 518 954 345 954 256 955 519 955 517 955 268 956 133 956 118 956 262 957 121 957 124 957 282 958 124 958 126 958 282 959 262 959 124 959 395 960 262 960 282 960 517 961 520 961 253 961 521 962 263 962 262 962 397 963 521 963 262 963 394 964 397 964 262 964 395 965 394 965 262 965 283 966 395 966 282 966 247 967 158 967 140 967 333 968 144 968 147 968 252 969 147 969 150 969 252 970 333 970 147 970 493 971 333 971 252 971 492 972 333 972 493 972 495 973 333 973 492 973 522 974 333 974 495 974 334 975 333 975 522 975 327 976 523 976 524 976 493 977 252 977 490 977 520 978 490 978 252 978 253 979 520 979 252 979 332 980 523 980 327 980 318 981 179 981 166 981 355 982 168 982 170 982 322 983 170 983 172 983 322 984 355 984 170 984 437 985 355 985 322 985 356 986 355 986 525 986 439 987 525 987 355 987 327 988 524 988 321 988 436 989 439 989 355 989 437 990 436 990 355 990 323 991 437 991 322 991 520 992 491 992 490 992 517 993 489 993 491 993 517 994 491 994 520 994 522 995 495 995 494 995 526 996 494 996 496 996 526 997 522 997 494 997 523 998 496 998 497 998 523 999 526 999 496 999 429 1000 497 1000 499 1000 524 1001 497 1001 429 1001 524 1002 523 1002 497 1002 430 1003 499 1003 498 1003 431 1004 499 1004 430 1004 431 1005 429 1005 499 1005 447 1006 498 1006 500 1006 449 1007 430 1007 498 1007 447 1008 449 1008 498 1008 448 1009 500 1009 501 1009 448 1010 447 1010 500 1010 446 1011 501 1011 503 1011 446 1012 448 1012 501 1012 445 1013 503 1013 502 1013 443 1014 503 1014 445 1014 443 1015 446 1015 503 1015 527 1016 502 1016 505 1016 444 1017 445 1017 502 1017 442 1018 444 1018 502 1018 440 1019 442 1019 502 1019 441 1020 440 1020 502 1020 525 1021 441 1021 502 1021 527 1022 525 1022 502 1022 528 1023 505 1023 504 1023 528 1024 527 1024 505 1024 529 1025 504 1025 506 1025 529 1026 528 1026 504 1026 518 1027 506 1027 507 1027 529 1028 506 1028 518 1028 516 1029 476 1029 480 1029 530 1030 480 1030 479 1030 530 1031 516 1031 480 1031 531 1032 479 1032 481 1032 531 1033 530 1033 479 1033 387 1034 481 1034 482 1034 532 1035 481 1035 387 1035 532 1036 531 1036 481 1036 388 1037 482 1037 484 1037 389 1038 482 1038 388 1038 389 1039 387 1039 482 1039 405 1040 484 1040 483 1040 407 1041 484 1041 405 1041 407 1042 388 1042 484 1042 406 1043 483 1043 486 1043 406 1044 405 1044 483 1044 404 1045 486 1045 487 1045 404 1046 406 1046 486 1046 402 1047 487 1047 485 1047 401 1048 404 1048 487 1048 402 1049 401 1049 487 1049 533 1050 485 1050 488 1050 403 1051 402 1051 485 1051 399 1052 485 1052 521 1052 533 1053 521 1053 485 1053 400 1054 403 1054 485 1054 398 1055 400 1055 485 1055 399 1056 398 1056 485 1056 519 1057 488 1057 489 1057 519 1058 533 1058 488 1058 517 1059 519 1059 489 1059 251 1060 517 1060 253 1060 259 1061 263 1061 533 1061 533 1062 263 1062 521 1062 397 1063 396 1063 521 1063 399 1064 521 1064 396 1064 284 1065 391 1065 283 1065 334 1066 522 1066 526 1066 534 1067 392 1067 391 1067 284 1068 534 1068 391 1068 532 1069 392 1069 534 1069 532 1070 393 1070 392 1070 332 1071 526 1071 523 1071 532 1072 534 1072 284 1072 281 1073 532 1073 284 1073 532 1074 390 1074 393 1074 532 1075 387 1075 390 1075 298 1076 516 1076 530 1076 296 1077 530 1077 531 1077 259 1078 519 1078 256 1078 296 1079 298 1079 530 1079 290 1080 531 1080 532 1080 296 1081 531 1081 290 1081 290 1082 532 1082 281 1082 259 1083 533 1083 519 1083 529 1084 518 1084 346 1084 344 1085 529 1085 346 1085 525 1086 438 1086 441 1086 439 1087 438 1087 525 1087 356 1088 525 1088 527 1088 352 1089 527 1089 528 1089 332 1090 334 1090 526 1090 352 1091 356 1091 527 1091 349 1092 528 1092 529 1092 352 1093 528 1093 349 1093 349 1094 529 1094 344 1094 433 1095 535 1095 434 1095 524 1096 434 1096 535 1096 524 1097 435 1097 434 1097 524 1098 429 1098 432 1098 433 1099 324 1099 535 1099 524 1100 535 1100 324 1100 524 1101 432 1101 435 1101 433 1102 323 1102 324 1102 321 1103 524 1103 324 1103 536 1104 537 1104 538 1104 539 1105 538 1105 537 1105 536 1106 538 1106 540 1106 541 1107 540 1107 538 1107 539 1108 541 1108 538 1108 542 1109 543 1109 537 1109 544 1110 537 1110 543 1110 542 1111 537 1111 536 1111 544 1112 539 1112 537 1112 545 1113 546 1113 543 1113 547 1114 543 1114 546 1114 542 1115 545 1115 543 1115 544 1116 543 1116 547 1116 545 1117 548 1117 546 1117 549 1118 546 1118 548 1118 549 1119 547 1119 546 1119 545 1120 550 1120 548 1120 551 1121 548 1121 550 1121 551 1122 549 1122 548 1122 552 1123 553 1123 550 1123 554 1124 550 1124 553 1124 545 1125 552 1125 550 1125 554 1126 551 1126 550 1126 536 1127 540 1127 553 1127 555 1128 553 1128 540 1128 552 1129 536 1129 553 1129 555 1130 554 1130 553 1130 541 1131 555 1131 540 1131 556 1132 536 1132 552 1132 557 1133 542 1133 536 1133 557 1134 536 1134 558 1134 559 1135 558 1135 536 1135 559 1136 536 1136 556 1136 560 1137 552 1137 545 1137 556 1138 552 1138 561 1138 562 1139 561 1139 552 1139 562 1140 552 1140 560 1140 563 1141 545 1141 542 1141 560 1142 545 1142 564 1142 565 1143 564 1143 545 1143 565 1144 545 1144 563 1144 566 1145 542 1145 557 1145 563 1146 542 1146 567 1146 566 1147 567 1147 542 1147 568 1148 569 1148 570 1148 571 1149 570 1149 569 1149 568 1150 570 1150 572 1150 573 1151 572 1151 570 1151 573 1152 570 1152 571 1152 568 1153 574 1153 569 1153 575 1154 569 1154 574 1154 576 1155 577 1155 569 1155 571 1156 569 1156 577 1156 575 1157 576 1157 569 1157 568 1158 578 1158 574 1158 579 1159 574 1159 578 1159 579 1160 575 1160 574 1160 580 1161 581 1161 578 1161 582 1162 578 1162 581 1162 583 1163 580 1163 578 1163 584 1164 583 1164 578 1164 585 1165 584 1165 578 1165 568 1166 585 1166 578 1166 582 1167 579 1167 578 1167 586 1168 587 1168 581 1168 588 1169 581 1169 587 1169 580 1170 586 1170 581 1170 588 1171 582 1171 581 1171 589 1172 590 1172 587 1172 588 1173 587 1173 590 1173 586 1174 589 1174 587 1174 591 1175 592 1175 590 1175 593 1176 590 1176 592 1176 591 1177 590 1177 589 1177 593 1178 588 1178 590 1178 594 1179 595 1179 592 1179 596 1180 592 1180 595 1180 591 1181 594 1181 592 1181 597 1182 592 1182 598 1182 596 1183 598 1183 592 1183 593 1184 592 1184 597 1184 599 1185 600 1185 595 1185 601 1186 595 1186 600 1186 594 1187 599 1187 595 1187 601 1188 596 1188 595 1188 602 1189 603 1189 600 1189 604 1190 600 1190 603 1190 602 1191 600 1191 599 1191 601 1192 600 1192 604 1192 605 1193 572 1193 603 1193 573 1194 603 1194 572 1194 606 1195 607 1195 603 1195 605 1196 603 1196 607 1196 602 1197 606 1197 603 1197 604 1198 603 1198 573 1198 608 1199 572 1199 605 1199 568 1200 572 1200 608 1200 609 1201 589 1201 586 1201 610 1202 591 1202 589 1202 610 1203 589 1203 609 1203 611 1204 586 1204 580 1204 612 1205 613 1205 586 1205 609 1206 586 1206 613 1206 611 1207 612 1207 586 1207 614 1208 580 1208 583 1208 614 1209 611 1209 580 1209 584 1210 615 1210 583 1210 616 1211 583 1211 615 1211 616 1212 614 1212 583 1212 617 1213 618 1213 615 1213 619 1214 615 1214 618 1214 620 1215 617 1215 615 1215 621 1216 620 1216 615 1216 584 1217 621 1217 615 1217 619 1218 616 1218 615 1218 622 1219 623 1219 618 1219 619 1220 618 1220 623 1220 624 1221 618 1221 617 1221 622 1222 618 1222 624 1222 622 1223 625 1223 623 1223 626 1224 623 1224 625 1224 626 1225 619 1225 623 1225 622 1226 627 1226 625 1226 628 1227 625 1227 627 1227 629 1228 625 1228 630 1228 628 1229 630 1229 625 1229 626 1230 625 1230 629 1230 622 1231 599 1231 627 1231 631 1232 627 1232 599 1232 631 1233 628 1233 627 1233 632 1234 599 1234 594 1234 633 1235 602 1235 599 1235 622 1236 633 1236 599 1236 631 1237 599 1237 632 1237 610 1238 594 1238 591 1238 632 1239 594 1239 610 1239 634 1240 607 1240 606 1240 635 1241 605 1241 607 1241 635 1242 607 1242 634 1242 636 1243 606 1243 602 1243 636 1244 634 1244 606 1244 633 1245 637 1245 602 1245 638 1246 602 1246 637 1246 638 1247 639 1247 602 1247 636 1248 602 1248 639 1248 633 1249 640 1249 637 1249 641 1250 637 1250 640 1250 641 1251 638 1251 637 1251 633 1252 605 1252 640 1252 642 1253 640 1253 605 1253 643 1254 641 1254 640 1254 643 1255 640 1255 642 1255 644 1256 608 1256 605 1256 633 1257 644 1257 605 1257 645 1258 642 1258 605 1258 635 1259 645 1259 605 1259 585 1260 646 1260 647 1260 648 1261 647 1261 646 1261 585 1262 647 1262 584 1262 649 1263 584 1263 647 1263 649 1264 647 1264 648 1264 585 1265 617 1265 646 1265 650 1266 646 1266 617 1266 651 1267 646 1267 650 1267 651 1268 648 1268 646 1268 652 1269 617 1269 620 1269 585 1270 653 1270 617 1270 624 1271 617 1271 653 1271 654 1272 650 1272 617 1272 652 1273 654 1273 617 1273 655 1274 620 1274 621 1274 655 1275 652 1275 620 1275 656 1276 621 1276 584 1276 656 1277 655 1277 621 1277 649 1278 657 1278 584 1278 656 1279 584 1279 657 1279 658 1280 659 1280 660 1280 661 1281 660 1281 659 1281 662 1282 660 1282 663 1282 664 1283 663 1283 660 1283 662 1284 658 1284 660 1284 664 1285 660 1285 661 1285 665 1286 666 1286 659 1286 667 1287 659 1287 666 1287 658 1288 665 1288 659 1288 668 1289 659 1289 667 1289 661 1290 659 1290 668 1290 669 1291 670 1291 666 1291 671 1292 666 1292 670 1292 622 1293 666 1293 665 1293 669 1294 666 1294 622 1294 667 1295 666 1295 671 1295 669 1296 672 1296 670 1296 673 1297 670 1297 672 1297 674 1298 670 1298 673 1298 671 1299 670 1299 674 1299 568 1300 675 1300 672 1300 676 1301 672 1301 675 1301 669 1302 568 1302 672 1302 673 1303 672 1303 676 1303 677 1304 678 1304 675 1304 679 1305 675 1305 678 1305 568 1306 677 1306 675 1306 680 1307 676 1307 675 1307 680 1308 675 1308 679 1308 681 1309 663 1309 678 1309 682 1310 678 1310 663 1310 683 1311 681 1311 678 1311 684 1312 683 1312 678 1312 677 1313 684 1313 678 1313 679 1314 678 1314 682 1314 681 1315 662 1315 663 1315 685 1316 663 1316 664 1316 682 1317 663 1317 685 1317 686 1318 687 1318 688 1318 689 1319 688 1319 687 1319 690 1320 688 1320 691 1320 692 1321 691 1321 688 1321 690 1322 686 1322 688 1322 692 1323 688 1323 689 1323 693 1324 694 1324 687 1324 695 1325 687 1325 694 1325 686 1326 693 1326 687 1326 696 1327 687 1327 695 1327 689 1328 687 1328 696 1328 697 1329 698 1329 694 1329 699 1330 694 1330 698 1330 700 1331 694 1331 693 1331 701 1332 697 1332 694 1332 700 1333 701 1333 694 1333 695 1334 694 1334 699 1334 568 1335 702 1335 698 1335 703 1336 698 1336 702 1336 568 1337 698 1337 697 1337 704 1338 698 1338 703 1338 699 1339 698 1339 704 1339 568 1340 705 1340 702 1340 706 1341 702 1341 705 1341 703 1342 702 1342 706 1342 568 1343 707 1343 705 1343 708 1344 705 1344 707 1344 709 1345 706 1345 705 1345 709 1346 705 1346 708 1346 710 1347 691 1347 707 1347 711 1348 707 1348 691 1348 712 1349 710 1349 707 1349 568 1350 712 1350 707 1350 708 1351 707 1351 711 1351 710 1352 690 1352 691 1352 713 1353 691 1353 692 1353 711 1354 691 1354 713 1354 622 1355 714 1355 715 1355 716 1356 715 1356 714 1356 622 1357 715 1357 717 1357 718 1358 717 1358 715 1358 718 1359 715 1359 716 1359 622 1360 665 1360 714 1360 719 1361 714 1361 665 1361 720 1362 714 1362 719 1362 716 1363 714 1363 720 1363 721 1364 665 1364 658 1364 719 1365 665 1365 721 1365 722 1366 658 1366 662 1366 723 1367 658 1367 722 1367 721 1368 658 1368 723 1368 724 1369 662 1369 681 1369 722 1370 662 1370 724 1370 725 1371 681 1371 683 1371 726 1372 724 1372 681 1372 726 1373 681 1373 725 1373 684 1374 717 1374 683 1374 727 1375 683 1375 717 1375 725 1376 683 1376 727 1376 684 1377 728 1377 717 1377 729 1378 717 1378 728 1378 622 1379 717 1379 729 1379 730 1380 717 1380 718 1380 727 1381 717 1381 730 1381 622 1382 731 1382 732 1382 733 1383 732 1383 731 1383 734 1384 732 1384 735 1384 736 1385 735 1385 732 1385 734 1386 622 1386 732 1386 736 1387 732 1387 733 1387 737 1388 693 1388 731 1388 738 1389 731 1389 693 1389 622 1390 737 1390 731 1390 739 1391 731 1391 738 1391 733 1392 731 1392 739 1392 740 1393 693 1393 686 1393 700 1394 693 1394 737 1394 738 1395 693 1395 740 1395 741 1396 686 1396 690 1396 742 1397 686 1397 741 1397 740 1398 686 1398 742 1398 743 1399 690 1399 710 1399 741 1400 690 1400 743 1400 744 1401 710 1401 712 1401 745 1402 743 1402 710 1402 745 1403 710 1403 744 1403 734 1404 735 1404 712 1404 746 1405 712 1405 735 1405 568 1406 734 1406 712 1406 744 1407 712 1407 746 1407 747 1408 735 1408 736 1408 746 1409 735 1409 747 1409 624 1410 653 1410 748 1410 749 1411 748 1411 653 1411 750 1412 748 1412 697 1412 751 1413 697 1413 748 1413 750 1414 624 1414 748 1414 751 1415 748 1415 749 1415 752 1416 653 1416 585 1416 749 1417 653 1417 752 1417 568 1418 753 1418 585 1418 754 1419 585 1419 753 1419 752 1420 585 1420 754 1420 568 1421 755 1421 753 1421 756 1422 753 1422 755 1422 754 1423 753 1423 756 1423 568 1424 697 1424 755 1424 757 1425 755 1425 697 1425 757 1426 756 1426 755 1426 701 1427 750 1427 697 1427 757 1428 697 1428 751 1428 622 1429 758 1429 737 1429 759 1430 737 1430 758 1430 760 1431 700 1431 737 1431 760 1432 737 1432 759 1432 622 1433 624 1433 758 1433 761 1434 758 1434 624 1434 759 1435 758 1435 761 1435 762 1436 624 1436 750 1436 761 1437 624 1437 762 1437 763 1438 750 1438 701 1438 762 1439 750 1439 763 1439 764 1440 701 1440 700 1440 764 1441 763 1441 701 1441 764 1442 700 1442 760 1442 729 1443 728 1443 765 1443 766 1444 765 1444 728 1444 767 1445 765 1445 608 1445 768 1446 608 1446 765 1446 767 1447 729 1447 765 1447 768 1448 765 1448 766 1448 769 1449 728 1449 684 1449 766 1450 728 1450 769 1450 770 1451 684 1451 677 1451 769 1452 684 1452 770 1452 568 1453 771 1453 677 1453 772 1454 677 1454 771 1454 770 1455 677 1455 772 1455 568 1456 608 1456 771 1456 773 1457 771 1457 608 1457 773 1458 772 1458 771 1458 644 1459 767 1459 608 1459 773 1460 608 1460 768 1460 622 1461 774 1461 775 1461 776 1462 775 1462 774 1462 622 1463 775 1463 633 1463 777 1464 633 1464 775 1464 777 1465 775 1465 776 1465 622 1466 729 1466 774 1466 778 1467 774 1467 729 1467 776 1468 774 1468 778 1468 779 1469 729 1469 767 1469 778 1470 729 1470 779 1470 780 1471 767 1471 644 1471 779 1472 767 1472 780 1472 781 1473 644 1473 633 1473 781 1474 780 1474 644 1474 781 1475 633 1475 777 1475 782 1476 622 1476 734 1476 783 1477 669 1477 622 1477 783 1478 622 1478 784 1478 785 1479 784 1479 622 1479 785 1480 622 1480 782 1480 786 1481 734 1481 568 1481 787 1482 734 1482 786 1482 782 1483 734 1483 788 1483 787 1484 788 1484 734 1484 789 1485 568 1485 669 1485 790 1486 568 1486 789 1486 786 1487 568 1487 791 1487 790 1488 791 1488 568 1488 792 1489 669 1489 783 1489 789 1490 669 1490 793 1490 792 1491 793 1491 669 1491 794 1492 795 1492 796 1492 797 1493 796 1493 795 1493 784 1494 796 1494 798 1494 799 1495 798 1495 796 1495 800 1496 794 1496 796 1496 801 1497 800 1497 796 1497 784 1498 801 1498 796 1498 799 1499 796 1499 797 1499 794 1500 802 1500 795 1500 803 1501 795 1501 802 1501 797 1502 795 1502 803 1502 558 1503 804 1503 802 1503 805 1504 802 1504 804 1504 558 1505 802 1505 794 1505 803 1506 802 1506 805 1506 558 1507 806 1507 804 1507 807 1508 804 1508 806 1508 805 1509 804 1509 807 1509 558 1510 808 1510 806 1510 809 1511 806 1511 808 1511 807 1512 806 1512 809 1512 783 1513 810 1513 808 1513 811 1514 808 1514 810 1514 783 1515 808 1515 558 1515 811 1516 809 1516 808 1516 784 1517 798 1517 810 1517 812 1518 810 1518 798 1518 783 1519 784 1519 810 1519 811 1520 810 1520 812 1520 812 1521 798 1521 799 1521 813 1522 794 1522 800 1522 558 1523 794 1523 814 1523 815 1524 814 1524 794 1524 815 1525 794 1525 813 1525 816 1526 800 1526 801 1526 816 1527 813 1527 800 1527 784 1528 817 1528 801 1528 818 1529 801 1529 817 1529 816 1530 801 1530 818 1530 784 1531 819 1531 817 1531 820 1532 817 1532 819 1532 818 1533 817 1533 820 1533 784 1534 821 1534 819 1534 822 1535 819 1535 821 1535 820 1536 819 1536 822 1536 557 1537 823 1537 821 1537 824 1538 821 1538 823 1538 784 1539 557 1539 821 1539 822 1540 821 1540 824 1540 558 1541 814 1541 823 1541 825 1542 823 1542 814 1542 557 1543 558 1543 823 1543 824 1544 823 1544 825 1544 825 1545 814 1545 815 1545 793 1546 783 1546 558 1546 556 1547 793 1547 558 1547 559 1548 556 1548 558 1548 567 1549 557 1549 784 1549 566 1550 557 1550 567 1550 567 1551 784 1551 782 1551 785 1552 782 1552 784 1552 792 1553 783 1553 793 1553 826 1554 827 1554 828 1554 829 1555 828 1555 827 1555 830 1556 828 1556 831 1556 832 1557 831 1557 828 1557 830 1558 826 1558 828 1558 832 1559 828 1559 829 1559 793 1560 833 1560 827 1560 834 1561 827 1561 833 1561 835 1562 793 1562 827 1562 835 1563 827 1563 826 1563 834 1564 829 1564 827 1564 793 1565 836 1565 833 1565 837 1566 833 1566 836 1566 834 1567 833 1567 837 1567 793 1568 838 1568 836 1568 839 1569 836 1569 838 1569 837 1570 836 1570 839 1570 561 1571 831 1571 838 1571 840 1572 838 1572 831 1572 556 1573 838 1573 793 1573 556 1574 561 1574 838 1574 839 1575 838 1575 840 1575 830 1576 831 1576 561 1576 840 1577 831 1577 832 1577 841 1578 789 1578 793 1578 835 1579 841 1579 793 1579 841 1580 561 1580 789 1580 791 1581 789 1581 561 1581 790 1582 789 1582 791 1582 842 1583 830 1583 561 1583 843 1584 842 1584 561 1584 841 1585 843 1585 561 1585 791 1586 561 1586 560 1586 562 1587 560 1587 561 1587 844 1588 826 1588 830 1588 845 1589 835 1589 826 1589 846 1590 826 1590 844 1590 845 1591 826 1591 846 1591 847 1592 830 1592 842 1592 848 1593 844 1593 830 1593 848 1594 830 1594 847 1594 849 1595 842 1595 843 1595 847 1596 842 1596 849 1596 850 1597 843 1597 841 1597 851 1598 843 1598 850 1598 849 1599 843 1599 851 1599 852 1600 841 1600 835 1600 853 1601 850 1601 841 1601 853 1602 841 1602 852 1602 852 1603 835 1603 845 1603 854 1604 855 1604 856 1604 857 1605 856 1605 855 1605 791 1606 856 1606 858 1606 859 1607 858 1607 856 1607 860 1608 854 1608 856 1608 861 1609 860 1609 856 1609 791 1610 861 1610 856 1610 859 1611 856 1611 857 1611 854 1612 862 1612 855 1612 863 1613 855 1613 862 1613 857 1614 855 1614 863 1614 564 1615 864 1615 862 1615 865 1616 862 1616 864 1616 564 1617 862 1617 854 1617 863 1618 862 1618 865 1618 564 1619 866 1619 864 1619 867 1620 864 1620 866 1620 865 1621 864 1621 867 1621 564 1622 868 1622 866 1622 869 1623 866 1623 868 1623 867 1624 866 1624 869 1624 786 1625 870 1625 868 1625 871 1626 868 1626 870 1626 786 1627 868 1627 564 1627 871 1628 869 1628 868 1628 791 1629 858 1629 870 1629 872 1630 870 1630 858 1630 786 1631 791 1631 870 1631 871 1632 870 1632 872 1632 872 1633 858 1633 859 1633 873 1634 854 1634 860 1634 564 1635 854 1635 874 1635 875 1636 874 1636 854 1636 875 1637 854 1637 873 1637 876 1638 860 1638 861 1638 876 1639 873 1639 860 1639 791 1640 877 1640 861 1640 878 1641 861 1641 877 1641 876 1642 861 1642 878 1642 791 1643 879 1643 877 1643 880 1644 877 1644 879 1644 878 1645 877 1645 880 1645 791 1646 881 1646 879 1646 882 1647 879 1647 881 1647 880 1648 879 1648 882 1648 560 1649 883 1649 881 1649 884 1650 881 1650 883 1650 791 1651 560 1651 881 1651 882 1652 881 1652 884 1652 564 1653 874 1653 883 1653 885 1654 883 1654 874 1654 560 1655 564 1655 883 1655 884 1656 883 1656 885 1656 885 1657 874 1657 875 1657 788 1658 786 1658 564 1658 563 1659 788 1659 564 1659 565 1660 563 1660 564 1660 787 1661 786 1661 788 1661 788 1662 886 1662 887 1662 888 1663 887 1663 886 1663 788 1664 887 1664 889 1664 890 1665 889 1665 887 1665 890 1666 887 1666 888 1666 567 1667 891 1667 886 1667 892 1668 886 1668 891 1668 563 1669 886 1669 788 1669 563 1670 567 1670 886 1670 892 1671 888 1671 886 1671 893 1672 894 1672 891 1672 895 1673 891 1673 894 1673 893 1674 891 1674 567 1674 892 1675 891 1675 895 1675 896 1676 897 1676 894 1676 898 1677 894 1677 897 1677 893 1678 896 1678 894 1678 895 1679 894 1679 898 1679 788 1680 889 1680 897 1680 899 1681 897 1681 889 1681 900 1682 788 1682 897 1682 900 1683 897 1683 896 1683 898 1684 897 1684 899 1684 899 1685 889 1685 890 1685 901 1686 782 1686 788 1686 900 1687 901 1687 788 1687 901 1688 567 1688 782 1688 902 1689 893 1689 567 1689 903 1690 902 1690 567 1690 901 1691 903 1691 567 1691 904 1692 896 1692 893 1692 905 1693 900 1693 896 1693 906 1694 896 1694 904 1694 905 1695 896 1695 906 1695 907 1696 893 1696 902 1696 908 1697 904 1697 893 1697 908 1698 893 1698 907 1698 909 1699 902 1699 903 1699 907 1700 902 1700 909 1700 910 1701 903 1701 901 1701 911 1702 903 1702 910 1702 909 1703 903 1703 911 1703 912 1704 901 1704 900 1704 913 1705 910 1705 901 1705 913 1706 901 1706 912 1706 912 1707 900 1707 905 1707 914 1708 577 1708 576 1708 915 1709 571 1709 577 1709 914 1710 915 1710 577 1710 916 1711 576 1711 575 1711 916 1712 914 1712 576 1712 917 1713 575 1713 579 1713 917 1714 918 1714 575 1714 916 1715 575 1715 918 1715 919 1716 920 1716 579 1716 917 1717 579 1717 920 1717 582 1718 919 1718 579 1718 921 1719 922 1719 920 1719 923 1720 920 1720 922 1720 919 1721 921 1721 920 1721 924 1722 920 1722 923 1722 917 1723 920 1723 925 1723 924 1724 925 1724 920 1724 921 1725 926 1725 922 1725 614 1726 922 1726 926 1726 923 1727 922 1727 614 1727 597 1728 598 1728 926 1728 611 1729 926 1729 598 1729 921 1730 597 1730 926 1730 614 1731 926 1731 611 1731 612 1732 598 1732 596 1732 611 1733 598 1733 612 1733 593 1734 597 1734 921 1734 588 1735 921 1735 919 1735 593 1736 921 1736 588 1736 588 1737 919 1737 582 1737 915 1738 573 1738 571 1738 927 1739 604 1739 573 1739 915 1740 927 1740 573 1740 601 1741 604 1741 927 1741 928 1742 927 1742 915 1742 928 1743 601 1743 927 1743 929 1744 928 1744 915 1744 914 1745 929 1745 915 1745 930 1746 596 1746 601 1746 930 1747 612 1747 596 1747 931 1748 601 1748 928 1748 930 1749 601 1749 931 1749 916 1750 928 1750 929 1750 931 1751 928 1751 932 1751 916 1752 932 1752 928 1752 916 1753 929 1753 914 1753 930 1754 613 1754 612 1754 933 1755 609 1755 613 1755 930 1756 933 1756 613 1756 934 1757 923 1757 614 1757 616 1758 934 1758 614 1758 935 1759 936 1759 923 1759 924 1760 923 1760 936 1760 934 1761 935 1761 923 1761 935 1762 937 1762 936 1762 924 1763 936 1763 937 1763 629 1764 630 1764 937 1764 924 1765 937 1765 630 1765 935 1766 629 1766 937 1766 924 1767 630 1767 628 1767 626 1768 629 1768 935 1768 619 1769 935 1769 934 1769 626 1770 935 1770 619 1770 619 1771 934 1771 616 1771 933 1772 610 1772 609 1772 938 1773 632 1773 610 1773 933 1774 938 1774 610 1774 631 1775 632 1775 938 1775 932 1776 938 1776 933 1776 932 1777 631 1777 938 1777 931 1778 932 1778 933 1778 930 1779 931 1779 933 1779 939 1780 628 1780 631 1780 940 1781 628 1781 939 1781 924 1782 628 1782 940 1782 939 1783 631 1783 932 1783 939 1784 932 1784 941 1784 916 1785 941 1785 932 1785 636 1786 639 1786 942 1786 943 1787 942 1787 639 1787 944 1788 636 1788 942 1788 945 1789 944 1789 942 1789 946 1790 945 1790 942 1790 943 1791 946 1791 942 1791 947 1792 639 1792 638 1792 948 1793 639 1793 947 1793 943 1794 639 1794 948 1794 947 1795 638 1795 641 1795 949 1796 641 1796 643 1796 947 1797 641 1797 949 1797 950 1798 634 1798 636 1798 951 1799 634 1799 950 1799 635 1800 634 1800 951 1800 950 1801 636 1801 944 1801 952 1802 950 1802 944 1802 945 1803 952 1803 944 1803 953 1804 950 1804 952 1804 951 1805 950 1805 953 1805 954 1806 952 1806 945 1806 955 1807 953 1807 952 1807 955 1808 952 1808 954 1808 954 1809 945 1809 946 1809 956 1810 642 1810 645 1810 957 1811 643 1811 642 1811 956 1812 957 1812 642 1812 951 1813 953 1813 645 1813 955 1814 645 1814 953 1814 635 1815 951 1815 645 1815 955 1816 958 1816 645 1816 956 1817 645 1817 958 1817 949 1818 643 1818 957 1818 959 1819 650 1819 654 1819 960 1820 651 1820 650 1820 959 1821 960 1821 650 1821 961 1822 962 1822 654 1822 963 1823 654 1823 962 1823 652 1824 961 1824 654 1824 964 1825 654 1825 963 1825 959 1826 654 1826 964 1826 965 1827 966 1827 962 1827 963 1828 962 1828 966 1828 961 1829 965 1829 962 1829 967 1830 966 1830 965 1830 968 1831 966 1831 967 1831 969 1832 966 1832 968 1832 963 1833 966 1833 969 1833 655 1834 965 1834 961 1834 656 1835 965 1835 655 1835 967 1836 965 1836 656 1836 655 1837 961 1837 652 1837 970 1838 648 1838 651 1838 971 1839 649 1839 648 1839 971 1840 648 1840 970 1840 970 1841 651 1841 960 1841 656 1842 657 1842 972 1842 973 1843 972 1843 657 1843 967 1844 656 1844 972 1844 968 1845 967 1845 972 1845 974 1846 968 1846 972 1846 973 1847 974 1847 972 1847 971 1848 657 1848 649 1848 971 1849 975 1849 657 1849 973 1850 657 1850 975 1850 969 1851 968 1851 974 1851 668 1852 976 1852 977 1852 978 1853 977 1853 976 1853 661 1854 668 1854 977 1854 979 1855 661 1855 977 1855 980 1856 979 1856 977 1856 980 1857 977 1857 978 1857 667 1858 981 1858 976 1858 982 1859 976 1859 981 1859 668 1860 667 1860 976 1860 978 1861 976 1861 982 1861 671 1862 983 1862 981 1862 984 1863 981 1863 983 1863 667 1864 671 1864 981 1864 982 1865 981 1865 984 1865 674 1866 985 1866 983 1866 986 1867 983 1867 985 1867 671 1868 674 1868 983 1868 984 1869 983 1869 987 1869 986 1870 987 1870 983 1870 673 1871 988 1871 985 1871 986 1872 985 1872 988 1872 674 1873 673 1873 985 1873 676 1874 989 1874 988 1874 916 1875 988 1875 989 1875 673 1876 676 1876 988 1876 916 1877 986 1877 988 1877 680 1878 989 1878 676 1878 680 1879 990 1879 989 1879 916 1880 989 1880 990 1880 664 1881 661 1881 979 1881 679 1882 941 1882 990 1882 916 1883 990 1883 941 1883 680 1884 679 1884 990 1884 682 1885 939 1885 941 1885 679 1886 682 1886 941 1886 685 1887 991 1887 939 1887 940 1888 939 1888 991 1888 682 1889 685 1889 939 1889 664 1890 979 1890 991 1890 992 1891 991 1891 979 1891 685 1892 664 1892 991 1892 940 1893 991 1893 992 1893 992 1894 979 1894 980 1894 696 1895 993 1895 994 1895 995 1896 994 1896 993 1896 689 1897 696 1897 994 1897 996 1898 689 1898 994 1898 997 1899 996 1899 994 1899 997 1900 994 1900 995 1900 695 1901 998 1901 993 1901 999 1902 993 1902 998 1902 696 1903 695 1903 993 1903 995 1904 993 1904 999 1904 699 1905 918 1905 998 1905 1000 1906 998 1906 918 1906 695 1907 699 1907 998 1907 999 1908 998 1908 1000 1908 704 1909 1001 1909 918 1909 916 1910 918 1910 1001 1910 699 1911 704 1911 918 1911 1000 1912 918 1912 917 1912 703 1913 1002 1913 1001 1913 916 1914 1001 1914 1002 1914 704 1915 703 1915 1001 1915 706 1916 1003 1916 1002 1916 916 1917 1002 1917 1003 1917 703 1918 706 1918 1002 1918 709 1919 1003 1919 706 1919 709 1920 1004 1920 1003 1920 1005 1921 1003 1921 1004 1921 1005 1922 916 1922 1003 1922 692 1923 689 1923 996 1923 708 1924 1006 1924 1004 1924 1005 1925 1004 1925 1006 1925 709 1926 708 1926 1004 1926 711 1927 1007 1927 1006 1927 1005 1928 1006 1928 1007 1928 708 1929 711 1929 1006 1929 713 1930 1008 1930 1007 1930 1009 1931 1007 1931 1008 1931 711 1932 713 1932 1007 1932 1010 1933 1007 1933 1009 1933 1011 1934 1005 1934 1007 1934 1010 1935 1011 1935 1007 1935 692 1936 996 1936 1008 1936 1012 1937 1008 1937 996 1937 713 1938 692 1938 1008 1938 1009 1939 1008 1939 1012 1939 1012 1940 996 1940 997 1940 720 1941 1013 1941 1014 1941 1015 1942 1014 1942 1013 1942 716 1943 720 1943 1014 1943 1016 1944 716 1944 1014 1944 924 1945 1016 1945 1014 1945 1015 1946 924 1946 1014 1946 719 1947 1017 1947 1013 1947 1015 1948 1013 1948 1017 1948 720 1949 719 1949 1013 1949 721 1950 987 1950 1017 1950 1015 1951 1017 1951 987 1951 719 1952 721 1952 1017 1952 723 1953 984 1953 987 1953 721 1954 723 1954 987 1954 1018 1955 1015 1955 987 1955 986 1956 1018 1956 987 1956 722 1957 982 1957 984 1957 723 1958 722 1958 984 1958 724 1959 978 1959 982 1959 722 1960 724 1960 982 1960 726 1961 978 1961 724 1961 726 1962 980 1962 978 1962 718 1963 716 1963 1016 1963 725 1964 992 1964 980 1964 726 1965 725 1965 980 1965 727 1966 940 1966 992 1966 725 1967 727 1967 992 1967 730 1968 1019 1968 940 1968 924 1969 940 1969 1019 1969 727 1970 730 1970 940 1970 718 1971 1016 1971 1019 1971 924 1972 1019 1972 1016 1972 730 1973 718 1973 1019 1973 739 1974 1020 1974 1021 1974 924 1975 1021 1975 1020 1975 733 1976 739 1976 1021 1976 1022 1977 733 1977 1021 1977 924 1978 1022 1978 1021 1978 738 1979 925 1979 1020 1979 924 1980 1020 1980 925 1980 739 1981 738 1981 1020 1981 740 1982 917 1982 925 1982 738 1983 740 1983 925 1983 742 1984 1000 1984 917 1984 740 1985 742 1985 917 1985 741 1986 999 1986 1000 1986 742 1987 741 1987 1000 1987 743 1988 995 1988 999 1988 741 1989 743 1989 999 1989 745 1990 995 1990 743 1990 745 1991 997 1991 995 1991 736 1992 733 1992 1022 1992 744 1993 1012 1993 997 1993 745 1994 744 1994 997 1994 746 1995 1009 1995 1012 1995 744 1996 746 1996 1012 1996 747 1997 1023 1997 1009 1997 1010 1998 1009 1998 1023 1998 746 1999 747 1999 1009 1999 736 2000 1022 2000 1023 2000 1010 2001 1023 2001 1022 2001 747 2002 736 2002 1023 2002 1010 2003 1022 2003 924 2003 863 2004 1024 2004 1025 2004 948 2005 1025 2005 1024 2005 857 2006 863 2006 1025 2006 1026 2007 857 2007 1025 2007 949 2008 1026 2008 1025 2008 947 2009 949 2009 1025 2009 948 2010 947 2010 1025 2010 865 2011 1027 2011 1024 2011 1028 2012 1024 2012 1027 2012 863 2013 865 2013 1024 2013 946 2014 948 2014 1024 2014 954 2015 946 2015 1024 2015 1028 2016 954 2016 1024 2016 867 2017 1029 2017 1027 2017 1030 2018 1027 2018 1029 2018 865 2019 867 2019 1027 2019 1030 2020 1028 2020 1027 2020 869 2021 1031 2021 1029 2021 907 2022 1029 2022 1031 2022 867 2023 869 2023 1029 2023 1032 2024 1030 2024 1029 2024 907 2025 1032 2025 1029 2025 871 2026 1031 2026 869 2026 871 2027 1033 2027 1031 2027 904 2028 1031 2028 1033 2028 908 2029 1031 2029 904 2029 908 2030 907 2030 1031 2030 859 2031 857 2031 1026 2031 872 2032 1034 2032 1033 2032 1035 2033 1033 2033 1034 2033 871 2034 872 2034 1033 2034 912 2035 1033 2035 1035 2035 906 2036 904 2036 1033 2036 905 2037 906 2037 1033 2037 912 2038 905 2038 1033 2038 859 2039 1026 2039 1034 2039 1036 2040 1034 2040 1026 2040 872 2041 859 2041 1034 2041 1036 2042 1035 2042 1034 2042 1037 2043 1036 2043 1026 2043 949 2044 1037 2044 1026 2044 913 2045 1038 2045 910 2045 1032 2046 910 2046 1038 2046 911 2047 910 2047 1032 2047 912 2048 1035 2048 1038 2048 822 2049 1038 2049 1035 2049 913 2050 912 2050 1038 2050 824 2051 1032 2051 1038 2051 822 2052 824 2052 1038 2052 820 2053 1035 2053 1036 2053 820 2054 822 2054 1035 2054 818 2055 1036 2055 1037 2055 818 2056 820 2056 1036 2056 958 2057 1039 2057 1037 2057 816 2058 1037 2058 1039 2058 957 2059 958 2059 1037 2059 949 2060 957 2060 1037 2060 816 2061 818 2061 1037 2061 955 2062 1039 2062 958 2062 955 2063 954 2063 1039 2063 1028 2064 1039 2064 954 2064 813 2065 1039 2065 1028 2065 816 2066 1039 2066 813 2066 956 2067 958 2067 957 2067 943 2068 948 2068 946 2068 815 2069 1028 2069 1030 2069 815 2070 813 2070 1028 2070 825 2071 1030 2071 1032 2071 825 2072 815 2072 1030 2072 909 2073 911 2073 1032 2073 907 2074 909 2074 1032 2074 824 2075 825 2075 1032 2075 803 2076 1040 2076 1041 2076 975 2077 1041 2077 1040 2077 797 2078 803 2078 1041 2078 1042 2079 797 2079 1041 2079 970 2080 1042 2080 1041 2080 971 2081 1041 2081 975 2081 971 2082 970 2082 1041 2082 805 2083 1043 2083 1040 2083 1044 2084 1040 2084 1043 2084 803 2085 805 2085 1040 2085 974 2086 975 2086 1040 2086 969 2087 974 2087 1040 2087 1044 2088 969 2088 1040 2088 807 2089 1045 2089 1043 2089 1046 2090 1043 2090 1045 2090 805 2091 807 2091 1043 2091 1046 2092 1044 2092 1043 2092 809 2093 1047 2093 1045 2093 847 2094 1045 2094 1047 2094 807 2095 809 2095 1045 2095 1048 2096 1046 2096 1045 2096 847 2097 1048 2097 1045 2097 811 2098 1047 2098 809 2098 811 2099 1049 2099 1047 2099 844 2100 1047 2100 1049 2100 848 2101 1047 2101 844 2101 848 2102 847 2102 1047 2102 799 2103 797 2103 1042 2103 812 2104 1050 2104 1049 2104 1051 2105 1049 2105 1050 2105 811 2106 812 2106 1049 2106 846 2107 844 2107 1049 2107 852 2108 1049 2108 1051 2108 845 2109 846 2109 1049 2109 852 2110 845 2110 1049 2110 799 2111 1042 2111 1050 2111 1052 2112 1050 2112 1042 2112 812 2113 799 2113 1050 2113 1052 2114 1051 2114 1050 2114 1053 2115 1052 2115 1042 2115 970 2116 1053 2116 1042 2116 973 2117 975 2117 974 2117 1054 2118 963 2118 969 2118 1044 2119 1054 2119 969 2119 1054 2120 964 2120 963 2120 1053 2121 964 2121 1054 2121 960 2122 964 2122 1053 2122 959 2123 964 2123 960 2123 873 2124 1054 2124 1044 2124 876 2125 1053 2125 1054 2125 876 2126 1054 2126 873 2126 875 2127 1044 2127 1046 2127 875 2128 873 2128 1044 2128 885 2129 1046 2129 1048 2129 885 2130 875 2130 1046 2130 850 2131 1055 2131 1048 2131 884 2132 1048 2132 1055 2132 851 2133 850 2133 1048 2133 849 2134 851 2134 1048 2134 847 2135 849 2135 1048 2135 884 2136 885 2136 1048 2136 853 2137 1055 2137 850 2137 852 2138 1051 2138 1055 2138 882 2139 1055 2139 1051 2139 853 2140 852 2140 1055 2140 882 2141 884 2141 1055 2141 880 2142 1051 2142 1052 2142 880 2143 882 2143 1051 2143 878 2144 1052 2144 1053 2144 878 2145 880 2145 1052 2145 970 2146 960 2146 1053 2146 876 2147 878 2147 1053 2147 899 2148 890 2148 888 2148 898 2149 899 2149 888 2149 892 2150 898 2150 888 2150 892 2151 895 2151 898 2151 754 2152 756 2152 1056 2152 757 2153 1056 2153 756 2153 752 2154 754 2154 1056 2154 749 2155 752 2155 1056 2155 751 2156 749 2156 1056 2156 757 2157 751 2157 1056 2157 762 2158 763 2158 1057 2158 764 2159 1057 2159 763 2159 761 2160 762 2160 1057 2160 759 2161 761 2161 1057 2161 760 2162 759 2162 1057 2162 764 2163 760 2163 1057 2163 770 2164 772 2164 1058 2164 773 2165 1058 2165 772 2165 769 2166 770 2166 1058 2166 766 2167 769 2167 1058 2167 768 2168 766 2168 1058 2168 773 2169 768 2169 1058 2169 779 2170 780 2170 1059 2170 781 2171 1059 2171 780 2171 778 2172 779 2172 1059 2172 776 2173 778 2173 1059 2173 777 2174 776 2174 1059 2174 781 2175 777 2175 1059 2175 840 2176 832 2176 829 2176 839 2177 840 2177 829 2177 834 2178 839 2178 829 2178 834 2179 837 2179 839 2179 549 2180 924 2180 1015 2180 551 2181 1010 2181 924 2181 551 2182 924 2182 549 2182 547 2183 1015 2183 1018 2183 549 2184 1015 2184 547 2184 544 2185 1018 2185 986 2185 544 2186 547 2186 1018 2186 539 2187 986 2187 916 2187 544 2188 986 2188 539 2188 541 2189 916 2189 1005 2189 539 2190 916 2190 541 2190 555 2191 1005 2191 1011 2191 541 2192 1005 2192 555 2192 554 2193 1011 2193 1010 2193 555 2194 1011 2194 554 2194 554 2195 1010 2195 551 2195 1060 2196 1061 2196 1062 2196 1063 2197 1062 2197 1061 2197 1064 2198 1060 2198 1062 2198 1065 2199 1062 2199 1066 2199 1067 2200 1066 2200 1062 2200 1065 2201 1068 2201 1062 2201 1064 2202 1062 2202 1068 2202 1063 2203 1067 2203 1062 2203 1069 2204 1061 2204 1060 2204 1069 2205 1063 2205 1061 2205 1070 2206 1071 2206 1060 2206 1072 2207 1060 2207 1071 2207 1064 2208 1070 2208 1060 2208 1072 2209 1069 2209 1060 2209 1066 2210 1073 2210 1071 2210 1074 2211 1071 2211 1073 2211 1075 2212 1066 2212 1071 2212 1076 2213 1075 2213 1071 2213 1070 2214 1076 2214 1071 2214 1072 2215 1071 2215 1074 2215 1077 2216 1073 2216 1066 2216 1077 2217 1074 2217 1073 2217 1075 2218 1065 2218 1066 2218 1067 2219 1077 2219 1066 2219 1078 2220 1068 2220 1065 2220 1079 2221 1064 2221 1068 2221 1078 2222 1079 2222 1068 2222 1080 2223 1065 2223 1075 2223 1078 2224 1065 2224 1080 2224 1081 2225 1075 2225 1076 2225 1080 2226 1075 2226 1081 2226 1082 2227 1076 2227 1070 2227 1081 2228 1076 2228 1082 2228 1083 2229 1070 2229 1064 2229 1082 2230 1070 2230 1083 2230 1083 2231 1064 2231 1079 2231 1084 2232 1074 2232 1077 2232 1085 2233 1074 2233 1084 2233 1085 2234 1072 2234 1074 2234 1086 2235 1077 2235 1067 2235 1087 2236 1084 2236 1077 2236 1086 2237 1087 2237 1077 2237 1088 2238 1067 2238 1063 2238 1088 2239 1086 2239 1067 2239 1089 2240 1088 2240 1063 2240 1069 2241 1089 2241 1063 2241 1090 2242 1084 2242 1087 2242 1091 2243 1084 2243 1090 2243 1085 2244 1084 2244 1091 2244 1092 2245 1087 2245 1086 2245 1092 2246 1090 2246 1087 2246 1093 2247 1086 2247 1088 2247 1093 2248 1092 2248 1086 2248 1094 2249 1088 2249 1089 2249 1094 2250 1093 2250 1088 2250 1095 2251 1094 2251 1089 2251 1096 2252 1095 2252 1089 2252 1096 2253 1089 2253 1069 2253 1097 2254 1090 2254 1092 2254 1097 2255 1098 2255 1090 2255 1091 2256 1090 2256 1098 2256 1099 2257 1092 2257 1093 2257 1100 2258 1097 2258 1092 2258 1099 2259 1100 2259 1092 2259 1099 2260 1093 2260 1094 2260 1101 2261 1094 2261 1095 2261 1101 2262 1099 2262 1094 2262 1101 2263 1095 2263 1102 2263 1103 2264 1102 2264 1095 2264 1096 2265 1103 2265 1095 2265 1103 2266 1104 2266 1102 2266 1105 2267 1102 2267 1104 2267 1106 2268 1101 2268 1102 2268 1105 2269 1106 2269 1102 2269 1103 2270 1107 2270 1104 2270 1108 2271 1104 2271 1107 2271 1108 2272 1105 2272 1104 2272 1091 2273 1098 2273 1107 2273 1109 2274 1107 2274 1098 2274 1110 2275 1091 2275 1107 2275 1103 2276 1110 2276 1107 2276 1108 2277 1107 2277 1109 2277 1111 2278 1098 2278 1097 2278 1109 2279 1098 2279 1111 2279 1112 2280 1097 2280 1100 2280 1111 2281 1097 2281 1112 2281 1113 2282 1100 2282 1099 2282 1113 2283 1112 2283 1100 2283 1114 2284 1099 2284 1101 2284 1114 2285 1113 2285 1099 2285 1106 2286 1114 2286 1101 2286 1085 2287 1091 2287 1110 2287 1115 2288 1110 2288 1103 2288 1085 2289 1110 2289 1115 2289 1115 2290 1103 2290 1096 2290 1105 2291 1112 2291 1113 2291 1108 2292 1112 2292 1105 2292 1108 2293 1111 2293 1112 2293 1106 2294 1113 2294 1114 2294 1105 2295 1113 2295 1106 2295 1108 2296 1109 2296 1111 2296 1115 2297 1069 2297 1072 2297 1115 2298 1096 2298 1069 2298 1085 2299 1115 2299 1072 2299 1082 2300 1083 2300 1079 2300 1078 2301 1082 2301 1079 2301 1078 2302 1081 2302 1082 2302 1078 2303 1080 2303 1081 2303 1116 2304 1117 2304 1118 2304 1119 2305 1118 2305 1117 2305 1120 2306 1116 2306 1118 2306 1121 2307 1118 2307 1122 2307 1123 2308 1122 2308 1118 2308 1121 2309 1124 2309 1118 2309 1120 2310 1118 2310 1124 2310 1119 2311 1123 2311 1118 2311 1125 2312 1117 2312 1116 2312 1125 2313 1119 2313 1117 2313 1126 2314 1127 2314 1116 2314 1128 2315 1116 2315 1127 2315 1120 2316 1126 2316 1116 2316 1128 2317 1125 2317 1116 2317 1122 2318 1129 2318 1127 2318 1130 2319 1127 2319 1129 2319 1131 2320 1122 2320 1127 2320 1132 2321 1131 2321 1127 2321 1126 2322 1132 2322 1127 2322 1128 2323 1127 2323 1130 2323 1133 2324 1129 2324 1122 2324 1133 2325 1130 2325 1129 2325 1131 2326 1121 2326 1122 2326 1123 2327 1133 2327 1122 2327 1134 2328 1124 2328 1121 2328 1135 2329 1120 2329 1124 2329 1134 2330 1135 2330 1124 2330 1136 2331 1121 2331 1131 2331 1134 2332 1121 2332 1136 2332 1137 2333 1131 2333 1132 2333 1136 2334 1131 2334 1137 2334 1138 2335 1132 2335 1126 2335 1137 2336 1132 2336 1138 2336 1139 2337 1126 2337 1120 2337 1138 2338 1126 2338 1139 2338 1139 2339 1120 2339 1135 2339 1140 2340 1130 2340 1133 2340 1141 2341 1130 2341 1140 2341 1141 2342 1128 2342 1130 2342 1142 2343 1133 2343 1123 2343 1143 2344 1140 2344 1133 2344 1142 2345 1143 2345 1133 2345 1144 2346 1123 2346 1119 2346 1144 2347 1142 2347 1123 2347 1145 2348 1144 2348 1119 2348 1125 2349 1145 2349 1119 2349 1146 2350 1140 2350 1143 2350 1147 2351 1140 2351 1146 2351 1141 2352 1140 2352 1147 2352 1148 2353 1143 2353 1142 2353 1148 2354 1146 2354 1143 2354 1149 2355 1142 2355 1144 2355 1149 2356 1148 2356 1142 2356 1150 2357 1144 2357 1145 2357 1150 2358 1149 2358 1144 2358 1151 2359 1150 2359 1145 2359 1152 2360 1151 2360 1145 2360 1152 2361 1145 2361 1125 2361 1153 2362 1146 2362 1148 2362 1153 2363 1154 2363 1146 2363 1147 2364 1146 2364 1154 2364 1155 2365 1148 2365 1149 2365 1156 2366 1153 2366 1148 2366 1155 2367 1156 2367 1148 2367 1155 2368 1149 2368 1150 2368 1157 2369 1150 2369 1151 2369 1157 2370 1155 2370 1150 2370 1157 2371 1151 2371 1158 2371 1159 2372 1158 2372 1151 2372 1152 2373 1159 2373 1151 2373 1159 2374 1160 2374 1158 2374 1161 2375 1158 2375 1160 2375 1162 2376 1157 2376 1158 2376 1161 2377 1162 2377 1158 2377 1159 2378 1163 2378 1160 2378 1164 2379 1160 2379 1163 2379 1164 2380 1161 2380 1160 2380 1147 2381 1154 2381 1163 2381 1165 2382 1163 2382 1154 2382 1166 2383 1147 2383 1163 2383 1159 2384 1166 2384 1163 2384 1164 2385 1163 2385 1165 2385 1167 2386 1154 2386 1153 2386 1165 2387 1154 2387 1167 2387 1168 2388 1153 2388 1156 2388 1167 2389 1153 2389 1168 2389 1169 2390 1156 2390 1155 2390 1169 2391 1168 2391 1156 2391 1170 2392 1155 2392 1157 2392 1170 2393 1169 2393 1155 2393 1162 2394 1170 2394 1157 2394 1141 2395 1147 2395 1166 2395 1171 2396 1166 2396 1159 2396 1141 2397 1166 2397 1171 2397 1171 2398 1159 2398 1152 2398 1161 2399 1168 2399 1169 2399 1164 2400 1168 2400 1161 2400 1164 2401 1167 2401 1168 2401 1162 2402 1169 2402 1170 2402 1161 2403 1169 2403 1162 2403 1164 2404 1165 2404 1167 2404 1171 2405 1125 2405 1128 2405 1171 2406 1152 2406 1125 2406 1141 2407 1171 2407 1128 2407 1138 2408 1139 2408 1135 2408 1134 2409 1138 2409 1135 2409 1134 2410 1137 2410 1138 2410 1134 2411 1136 2411 1137 2411 1172 2412 1173 2412 1174 2412 1175 2413 1174 2413 1173 2413 1176 2414 1172 2414 1174 2414 1177 2415 1174 2415 1178 2415 1179 2416 1178 2416 1174 2416 1177 2417 1180 2417 1174 2417 1176 2418 1174 2418 1180 2418 1175 2419 1179 2419 1174 2419 1181 2420 1173 2420 1172 2420 1181 2421 1175 2421 1173 2421 1182 2422 1183 2422 1172 2422 1184 2423 1172 2423 1183 2423 1176 2424 1182 2424 1172 2424 1184 2425 1181 2425 1172 2425 1178 2426 1185 2426 1183 2426 1186 2427 1183 2427 1185 2427 1187 2428 1178 2428 1183 2428 1188 2429 1187 2429 1183 2429 1182 2430 1188 2430 1183 2430 1184 2431 1183 2431 1186 2431 1189 2432 1185 2432 1178 2432 1189 2433 1186 2433 1185 2433 1187 2434 1177 2434 1178 2434 1179 2435 1189 2435 1178 2435 1190 2436 1180 2436 1177 2436 1191 2437 1176 2437 1180 2437 1190 2438 1191 2438 1180 2438 1192 2439 1177 2439 1187 2439 1190 2440 1177 2440 1192 2440 1193 2441 1187 2441 1188 2441 1192 2442 1187 2442 1193 2442 1194 2443 1188 2443 1182 2443 1193 2444 1188 2444 1194 2444 1195 2445 1182 2445 1176 2445 1194 2446 1182 2446 1195 2446 1195 2447 1176 2447 1191 2447 1196 2448 1186 2448 1189 2448 1197 2449 1186 2449 1196 2449 1197 2450 1184 2450 1186 2450 1198 2451 1189 2451 1179 2451 1199 2452 1196 2452 1189 2452 1198 2453 1199 2453 1189 2453 1200 2454 1179 2454 1175 2454 1200 2455 1198 2455 1179 2455 1201 2456 1200 2456 1175 2456 1181 2457 1201 2457 1175 2457 1202 2458 1196 2458 1199 2458 1203 2459 1196 2459 1202 2459 1197 2460 1196 2460 1203 2460 1204 2461 1199 2461 1198 2461 1204 2462 1202 2462 1199 2462 1205 2463 1198 2463 1200 2463 1205 2464 1204 2464 1198 2464 1206 2465 1200 2465 1201 2465 1206 2466 1205 2466 1200 2466 1207 2467 1206 2467 1201 2467 1208 2468 1207 2468 1201 2468 1208 2469 1201 2469 1181 2469 1209 2470 1202 2470 1204 2470 1209 2471 1210 2471 1202 2471 1203 2472 1202 2472 1210 2472 1211 2473 1204 2473 1205 2473 1212 2474 1209 2474 1204 2474 1211 2475 1212 2475 1204 2475 1211 2476 1205 2476 1206 2476 1213 2477 1206 2477 1207 2477 1213 2478 1211 2478 1206 2478 1213 2479 1207 2479 1214 2479 1215 2480 1214 2480 1207 2480 1208 2481 1215 2481 1207 2481 1215 2482 1216 2482 1214 2482 1217 2483 1214 2483 1216 2483 1218 2484 1213 2484 1214 2484 1217 2485 1218 2485 1214 2485 1215 2486 1219 2486 1216 2486 1220 2487 1216 2487 1219 2487 1220 2488 1217 2488 1216 2488 1203 2489 1210 2489 1219 2489 1221 2490 1219 2490 1210 2490 1222 2491 1203 2491 1219 2491 1215 2492 1222 2492 1219 2492 1220 2493 1219 2493 1221 2493 1223 2494 1210 2494 1209 2494 1221 2495 1210 2495 1223 2495 1224 2496 1209 2496 1212 2496 1223 2497 1209 2497 1224 2497 1225 2498 1212 2498 1211 2498 1225 2499 1224 2499 1212 2499 1226 2500 1211 2500 1213 2500 1226 2501 1225 2501 1211 2501 1218 2502 1226 2502 1213 2502 1197 2503 1203 2503 1222 2503 1227 2504 1222 2504 1215 2504 1197 2505 1222 2505 1227 2505 1227 2506 1215 2506 1208 2506 1217 2507 1224 2507 1225 2507 1220 2508 1224 2508 1217 2508 1220 2509 1223 2509 1224 2509 1218 2510 1225 2510 1226 2510 1217 2511 1225 2511 1218 2511 1220 2512 1221 2512 1223 2512 1227 2513 1181 2513 1184 2513 1227 2514 1208 2514 1181 2514 1197 2515 1227 2515 1184 2515 1194 2516 1195 2516 1191 2516 1190 2517 1194 2517 1191 2517 1190 2518 1193 2518 1194 2518 1190 2519 1192 2519 1193 2519 1228 2520 1229 2520 1230 2520 1231 2521 1230 2521 1229 2521 1232 2522 1228 2522 1230 2522 1233 2523 1230 2523 1234 2523 1235 2524 1234 2524 1230 2524 1233 2525 1236 2525 1230 2525 1232 2526 1230 2526 1236 2526 1231 2527 1235 2527 1230 2527 1237 2528 1229 2528 1228 2528 1237 2529 1231 2529 1229 2529 1238 2530 1239 2530 1228 2530 1240 2531 1228 2531 1239 2531 1232 2532 1238 2532 1228 2532 1240 2533 1237 2533 1228 2533 1234 2534 1241 2534 1239 2534 1242 2535 1239 2535 1241 2535 1243 2536 1234 2536 1239 2536 1244 2537 1243 2537 1239 2537 1238 2538 1244 2538 1239 2538 1240 2539 1239 2539 1242 2539 1245 2540 1241 2540 1234 2540 1245 2541 1242 2541 1241 2541 1243 2542 1233 2542 1234 2542 1235 2543 1245 2543 1234 2543 1246 2544 1236 2544 1233 2544 1247 2545 1232 2545 1236 2545 1246 2546 1247 2546 1236 2546 1248 2547 1233 2547 1243 2547 1246 2548 1233 2548 1248 2548 1249 2549 1243 2549 1244 2549 1248 2550 1243 2550 1249 2550 1250 2551 1244 2551 1238 2551 1249 2552 1244 2552 1250 2552 1251 2553 1238 2553 1232 2553 1250 2554 1238 2554 1251 2554 1251 2555 1232 2555 1247 2555 1252 2556 1242 2556 1245 2556 1253 2557 1242 2557 1252 2557 1253 2558 1240 2558 1242 2558 1254 2559 1245 2559 1235 2559 1255 2560 1252 2560 1245 2560 1254 2561 1255 2561 1245 2561 1256 2562 1235 2562 1231 2562 1256 2563 1254 2563 1235 2563 1257 2564 1256 2564 1231 2564 1237 2565 1257 2565 1231 2565 1258 2566 1252 2566 1255 2566 1259 2567 1252 2567 1258 2567 1253 2568 1252 2568 1259 2568 1260 2569 1255 2569 1254 2569 1260 2570 1258 2570 1255 2570 1261 2571 1254 2571 1256 2571 1261 2572 1260 2572 1254 2572 1262 2573 1256 2573 1257 2573 1262 2574 1261 2574 1256 2574 1263 2575 1262 2575 1257 2575 1264 2576 1263 2576 1257 2576 1264 2577 1257 2577 1237 2577 1265 2578 1258 2578 1260 2578 1265 2579 1266 2579 1258 2579 1259 2580 1258 2580 1266 2580 1267 2581 1260 2581 1261 2581 1268 2582 1265 2582 1260 2582 1267 2583 1268 2583 1260 2583 1267 2584 1261 2584 1262 2584 1269 2585 1262 2585 1263 2585 1269 2586 1267 2586 1262 2586 1269 2587 1263 2587 1270 2587 1271 2588 1270 2588 1263 2588 1264 2589 1271 2589 1263 2589 1271 2590 1272 2590 1270 2590 1273 2591 1270 2591 1272 2591 1274 2592 1269 2592 1270 2592 1273 2593 1274 2593 1270 2593 1271 2594 1275 2594 1272 2594 1276 2595 1272 2595 1275 2595 1276 2596 1273 2596 1272 2596 1259 2597 1266 2597 1275 2597 1277 2598 1275 2598 1266 2598 1278 2599 1259 2599 1275 2599 1271 2600 1278 2600 1275 2600 1276 2601 1275 2601 1277 2601 1279 2602 1266 2602 1265 2602 1277 2603 1266 2603 1279 2603 1280 2604 1265 2604 1268 2604 1279 2605 1265 2605 1280 2605 1281 2606 1268 2606 1267 2606 1281 2607 1280 2607 1268 2607 1282 2608 1267 2608 1269 2608 1282 2609 1281 2609 1267 2609 1274 2610 1282 2610 1269 2610 1253 2611 1259 2611 1278 2611 1283 2612 1278 2612 1271 2612 1253 2613 1278 2613 1283 2613 1283 2614 1271 2614 1264 2614 1273 2615 1280 2615 1281 2615 1276 2616 1280 2616 1273 2616 1276 2617 1279 2617 1280 2617 1274 2618 1281 2618 1282 2618 1273 2619 1281 2619 1274 2619 1276 2620 1277 2620 1279 2620 1283 2621 1237 2621 1240 2621 1283 2622 1264 2622 1237 2622 1253 2623 1283 2623 1240 2623 1250 2624 1251 2624 1247 2624 1246 2625 1250 2625 1247 2625 1246 2626 1249 2626 1250 2626 1246 2627 1248 2627 1249 2627 1284 2628 1285 2628 1286 2628 1287 2629 1286 2629 1285 2629 1288 2630 1286 2630 1289 2630 1290 2631 1289 2631 1286 2631 1288 2632 1284 2632 1286 2632 1291 2633 1286 2633 1287 2633 1292 2634 1290 2634 1286 2634 1293 2635 1292 2635 1286 2635 1294 2636 1293 2636 1286 2636 1295 2637 1294 2637 1286 2637 1291 2638 1295 2638 1286 2638 1296 2639 1297 2639 1285 2639 1298 2640 1285 2640 1297 2640 1299 2641 1296 2641 1285 2641 1300 2642 1299 2642 1285 2642 1301 2643 1300 2643 1285 2643 1302 2644 1301 2644 1285 2644 1284 2645 1302 2645 1285 2645 1287 2646 1285 2646 1298 2646 1303 2647 1304 2647 1297 2647 1305 2648 1297 2648 1304 2648 1306 2649 1297 2649 1307 2649 1308 2650 1307 2650 1297 2650 1309 2651 1303 2651 1297 2651 1306 2652 1309 2652 1297 2652 1310 2653 1308 2653 1297 2653 1311 2654 1310 2654 1297 2654 1312 2655 1311 2655 1297 2655 1296 2656 1312 2656 1297 2656 1298 2657 1297 2657 1305 2657 1313 2658 1314 2658 1304 2658 1315 2659 1304 2659 1314 2659 1316 2660 1313 2660 1304 2660 1317 2661 1316 2661 1304 2661 1318 2662 1317 2662 1304 2662 1303 2663 1318 2663 1304 2663 1305 2664 1304 2664 1315 2664 1319 2665 1320 2665 1314 2665 1321 2666 1314 2666 1320 2666 1313 2667 1319 2667 1314 2667 1315 2668 1314 2668 1321 2668 1322 2669 1323 2669 1320 2669 1324 2670 1320 2670 1323 2670 1325 2671 1322 2671 1320 2671 1326 2672 1325 2672 1320 2672 1327 2673 1326 2673 1320 2673 1328 2674 1327 2674 1320 2674 1319 2675 1328 2675 1320 2675 1321 2676 1320 2676 1324 2676 1329 2677 1289 2677 1323 2677 1330 2678 1323 2678 1289 2678 1331 2679 1323 2679 1332 2679 1333 2680 1332 2680 1323 2680 1334 2681 1329 2681 1323 2681 1331 2682 1334 2682 1323 2682 1335 2683 1333 2683 1323 2683 1336 2684 1335 2684 1323 2684 1337 2685 1336 2685 1323 2685 1322 2686 1337 2686 1323 2686 1324 2687 1323 2687 1330 2687 1338 2688 1339 2688 1289 2688 1288 2689 1289 2689 1339 2689 1340 2690 1338 2690 1289 2690 1329 2691 1340 2691 1289 2691 1330 2692 1289 2692 1341 2692 1342 2693 1341 2693 1289 2693 1342 2694 1289 2694 1290 2694 1343 2695 1344 2695 1345 2695 1346 2696 1345 2696 1344 2696 1347 2697 1345 2697 1348 2697 1349 2698 1348 2698 1345 2698 1347 2699 1343 2699 1345 2699 1346 2700 1349 2700 1345 2700 1343 2701 1350 2701 1344 2701 1351 2702 1344 2702 1350 2702 1351 2703 1346 2703 1344 2703 1352 2704 1353 2704 1350 2704 1354 2705 1350 2705 1353 2705 1343 2706 1352 2706 1350 2706 1354 2707 1351 2707 1350 2707 1355 2708 1356 2708 1353 2708 1357 2709 1353 2709 1356 2709 1352 2710 1355 2710 1353 2710 1357 2711 1354 2711 1353 2711 1358 2712 1359 2712 1356 2712 1360 2713 1356 2713 1359 2713 1355 2714 1358 2714 1356 2714 1357 2715 1356 2715 1360 2715 1361 2716 1362 2716 1359 2716 1363 2717 1359 2717 1362 2717 1358 2718 1361 2718 1359 2718 1363 2719 1360 2719 1359 2719 1364 2720 1348 2720 1362 2720 1365 2721 1362 2721 1348 2721 1364 2722 1362 2722 1361 2722 1365 2723 1363 2723 1362 2723 1366 2724 1347 2724 1348 2724 1364 2725 1366 2725 1348 2725 1349 2726 1365 2726 1348 2726 1367 2727 1368 2727 1369 2727 1370 2728 1369 2728 1368 2728 1371 2729 1369 2729 1372 2729 1373 2730 1372 2730 1369 2730 1374 2731 1367 2731 1369 2731 1371 2732 1374 2732 1369 2732 1370 2733 1373 2733 1369 2733 1375 2734 1376 2734 1368 2734 1377 2735 1368 2735 1376 2735 1367 2736 1375 2736 1368 2736 1377 2737 1370 2737 1368 2737 1378 2738 1379 2738 1376 2738 1380 2739 1376 2739 1379 2739 1375 2740 1378 2740 1376 2740 1380 2741 1377 2741 1376 2741 1378 2742 1381 2742 1379 2742 1382 2743 1379 2743 1381 2743 1382 2744 1380 2744 1379 2744 1383 2745 1384 2745 1381 2745 1385 2746 1381 2746 1384 2746 1378 2747 1383 2747 1381 2747 1382 2748 1381 2748 1385 2748 1306 2749 1307 2749 1384 2749 1386 2750 1384 2750 1307 2750 1387 2751 1306 2751 1384 2751 1383 2752 1387 2752 1384 2752 1386 2753 1385 2753 1384 2753 1308 2754 1372 2754 1307 2754 1388 2755 1307 2755 1372 2755 1388 2756 1386 2756 1307 2756 1308 2757 1371 2757 1372 2757 1373 2758 1388 2758 1372 2758 1389 2759 1390 2759 1391 2759 1392 2760 1391 2760 1390 2760 1393 2761 1391 2761 1394 2761 1395 2762 1394 2762 1391 2762 1393 2763 1389 2763 1391 2763 1392 2764 1395 2764 1391 2764 1389 2765 1396 2765 1390 2765 1397 2766 1390 2766 1396 2766 1397 2767 1392 2767 1390 2767 1398 2768 1399 2768 1396 2768 1400 2769 1396 2769 1399 2769 1389 2770 1398 2770 1396 2770 1400 2771 1397 2771 1396 2771 1401 2772 1402 2772 1399 2772 1403 2773 1399 2773 1402 2773 1398 2774 1401 2774 1399 2774 1403 2775 1400 2775 1399 2775 1404 2776 1405 2776 1402 2776 1406 2777 1402 2777 1405 2777 1401 2778 1404 2778 1402 2778 1403 2779 1402 2779 1406 2779 1407 2780 1408 2780 1405 2780 1409 2781 1405 2781 1408 2781 1404 2782 1407 2782 1405 2782 1409 2783 1406 2783 1405 2783 1410 2784 1394 2784 1408 2784 1411 2785 1408 2785 1394 2785 1410 2786 1408 2786 1407 2786 1411 2787 1409 2787 1408 2787 1412 2788 1393 2788 1394 2788 1410 2789 1412 2789 1394 2789 1395 2790 1411 2790 1394 2790 1413 2791 1414 2791 1415 2791 1416 2792 1415 2792 1414 2792 1417 2793 1415 2793 1418 2793 1419 2794 1418 2794 1415 2794 1420 2795 1413 2795 1415 2795 1417 2796 1420 2796 1415 2796 1416 2797 1419 2797 1415 2797 1421 2798 1422 2798 1414 2798 1423 2799 1414 2799 1422 2799 1413 2800 1421 2800 1414 2800 1423 2801 1416 2801 1414 2801 1424 2802 1425 2802 1422 2802 1426 2803 1422 2803 1425 2803 1421 2804 1424 2804 1422 2804 1426 2805 1423 2805 1422 2805 1424 2806 1427 2806 1425 2806 1428 2807 1425 2807 1427 2807 1428 2808 1426 2808 1425 2808 1429 2809 1430 2809 1427 2809 1431 2810 1427 2810 1430 2810 1424 2811 1429 2811 1427 2811 1428 2812 1427 2812 1431 2812 1331 2813 1332 2813 1430 2813 1432 2814 1430 2814 1332 2814 1433 2815 1331 2815 1430 2815 1429 2816 1433 2816 1430 2816 1432 2817 1431 2817 1430 2817 1333 2818 1418 2818 1332 2818 1434 2819 1332 2819 1418 2819 1434 2820 1432 2820 1332 2820 1333 2821 1417 2821 1418 2821 1419 2822 1434 2822 1418 2822 1435 2823 1339 2823 1338 2823 1436 2824 1288 2824 1339 2824 1436 2825 1339 2825 1437 2825 1438 2826 1437 2826 1339 2826 1439 2827 1438 2827 1339 2827 1435 2828 1439 2828 1339 2828 1440 2829 1338 2829 1340 2829 1441 2830 1338 2830 1440 2830 1442 2831 1435 2831 1338 2831 1443 2832 1442 2832 1338 2832 1444 2833 1443 2833 1338 2833 1441 2834 1444 2834 1338 2834 1445 2835 1340 2835 1329 2835 1440 2836 1340 2836 1445 2836 1446 2837 1329 2837 1334 2837 1447 2838 1329 2838 1446 2838 1445 2839 1329 2839 1447 2839 1446 2840 1334 2840 1331 2840 1448 2841 1331 2841 1433 2841 1446 2842 1331 2842 1448 2842 1449 2843 1433 2843 1429 2843 1450 2844 1433 2844 1449 2844 1448 2845 1433 2845 1450 2845 1449 2846 1429 2846 1424 2846 1451 2847 1424 2847 1421 2847 1449 2848 1424 2848 1451 2848 1452 2849 1421 2849 1413 2849 1451 2850 1421 2850 1452 2850 1420 2851 1453 2851 1413 2851 1454 2852 1413 2852 1453 2852 1452 2853 1413 2853 1454 2853 1455 2854 1453 2854 1420 2854 1456 2855 1453 2855 1455 2855 1454 2856 1453 2856 1456 2856 1455 2857 1420 2857 1417 2857 1457 2858 1417 2858 1333 2858 1455 2859 1417 2859 1457 2859 1458 2860 1333 2860 1335 2860 1459 2861 1333 2861 1458 2861 1457 2862 1333 2862 1459 2862 1458 2863 1335 2863 1336 2863 1460 2864 1336 2864 1337 2864 1458 2865 1336 2865 1460 2865 1461 2866 1337 2866 1322 2866 1460 2867 1337 2867 1461 2867 1462 2868 1322 2868 1325 2868 1461 2869 1322 2869 1462 2869 1463 2870 1325 2870 1326 2870 1462 2871 1325 2871 1463 2871 1464 2872 1326 2872 1327 2872 1465 2873 1326 2873 1464 2873 1463 2874 1326 2874 1465 2874 1410 2875 1407 2875 1327 2875 1464 2876 1327 2876 1407 2876 1328 2877 1410 2877 1327 2877 1466 2878 1407 2878 1404 2878 1464 2879 1407 2879 1466 2879 1467 2880 1404 2880 1401 2880 1468 2881 1404 2881 1467 2881 1466 2882 1404 2882 1468 2882 1467 2883 1401 2883 1398 2883 1389 2884 1469 2884 1398 2884 1470 2885 1398 2885 1469 2885 1467 2886 1398 2886 1470 2886 1471 2887 1469 2887 1389 2887 1470 2888 1469 2888 1471 2888 1472 2889 1389 2889 1393 2889 1471 2890 1389 2890 1472 2890 1473 2891 1393 2891 1412 2891 1474 2892 1393 2892 1473 2892 1472 2893 1393 2893 1474 2893 1473 2894 1412 2894 1410 2894 1475 2895 1410 2895 1328 2895 1473 2896 1410 2896 1475 2896 1476 2897 1328 2897 1319 2897 1477 2898 1328 2898 1476 2898 1475 2899 1328 2899 1477 2899 1476 2900 1319 2900 1313 2900 1478 2901 1313 2901 1316 2901 1476 2902 1313 2902 1478 2902 1479 2903 1316 2903 1317 2903 1478 2904 1316 2904 1479 2904 1480 2905 1317 2905 1318 2905 1479 2906 1317 2906 1480 2906 1481 2907 1318 2907 1303 2907 1480 2908 1318 2908 1481 2908 1482 2909 1303 2909 1309 2909 1483 2910 1303 2910 1482 2910 1481 2911 1303 2911 1483 2911 1482 2912 1309 2912 1306 2912 1484 2913 1306 2913 1387 2913 1482 2914 1306 2914 1484 2914 1485 2915 1387 2915 1383 2915 1486 2916 1387 2916 1485 2916 1484 2917 1387 2917 1486 2917 1485 2918 1383 2918 1378 2918 1487 2919 1378 2919 1375 2919 1485 2920 1378 2920 1487 2920 1488 2921 1375 2921 1367 2921 1487 2922 1375 2922 1488 2922 1374 2923 1489 2923 1367 2923 1490 2924 1367 2924 1489 2924 1488 2925 1367 2925 1490 2925 1491 2926 1489 2926 1374 2926 1492 2927 1489 2927 1491 2927 1490 2928 1489 2928 1492 2928 1491 2929 1374 2929 1371 2929 1493 2930 1371 2930 1308 2930 1491 2931 1371 2931 1493 2931 1494 2932 1308 2932 1310 2932 1495 2933 1308 2933 1494 2933 1493 2934 1308 2934 1495 2934 1494 2935 1310 2935 1311 2935 1496 2936 1311 2936 1312 2936 1494 2937 1311 2937 1496 2937 1497 2938 1312 2938 1296 2938 1496 2939 1312 2939 1497 2939 1498 2940 1296 2940 1299 2940 1497 2941 1296 2941 1498 2941 1499 2942 1299 2942 1300 2942 1498 2943 1299 2943 1499 2943 1500 2944 1300 2944 1301 2944 1501 2945 1300 2945 1500 2945 1499 2946 1300 2946 1501 2946 1364 2947 1361 2947 1301 2947 1500 2948 1301 2948 1361 2948 1302 2949 1364 2949 1301 2949 1502 2950 1361 2950 1358 2950 1500 2951 1361 2951 1502 2951 1503 2952 1358 2952 1355 2952 1504 2953 1358 2953 1503 2953 1502 2954 1358 2954 1504 2954 1503 2955 1355 2955 1352 2955 1343 2956 1505 2956 1352 2956 1506 2957 1352 2957 1505 2957 1503 2958 1352 2958 1506 2958 1507 2959 1505 2959 1343 2959 1506 2960 1505 2960 1507 2960 1508 2961 1343 2961 1347 2961 1507 2962 1343 2962 1508 2962 1509 2963 1347 2963 1366 2963 1510 2964 1347 2964 1509 2964 1508 2965 1347 2965 1510 2965 1509 2966 1366 2966 1364 2966 1511 2967 1364 2967 1302 2967 1509 2968 1364 2968 1511 2968 1512 2969 1302 2969 1284 2969 1513 2970 1302 2970 1512 2970 1511 2971 1302 2971 1513 2971 1512 2972 1284 2972 1288 2972 1436 2973 1512 2973 1288 2973 1287 2974 1514 2974 1515 2974 1346 2975 1515 2975 1514 2975 1287 2976 1515 2976 1516 2976 1351 2977 1516 2977 1515 2977 1351 2978 1515 2978 1346 2978 1287 2979 1517 2979 1514 2979 1349 2980 1514 2980 1517 2980 1346 2981 1514 2981 1349 2981 1305 2982 1518 2982 1517 2982 1365 2983 1517 2983 1518 2983 1298 2984 1305 2984 1517 2984 1287 2985 1298 2985 1517 2985 1349 2986 1517 2986 1365 2986 1305 2987 1519 2987 1518 2987 1363 2988 1518 2988 1519 2988 1365 2989 1518 2989 1363 2989 1305 2990 1520 2990 1519 2990 1360 2991 1519 2991 1520 2991 1363 2992 1519 2992 1360 2992 1305 2993 1521 2993 1520 2993 1357 2994 1520 2994 1521 2994 1357 2995 1360 2995 1520 2995 1341 2996 1516 2996 1521 2996 1354 2997 1521 2997 1516 2997 1305 2998 1341 2998 1521 2998 1357 2999 1521 2999 1354 2999 1287 3000 1516 3000 1341 3000 1354 3001 1516 3001 1351 3001 1305 3002 1522 3002 1523 3002 1370 3003 1523 3003 1522 3003 1524 3004 1523 3004 1525 3004 1377 3005 1525 3005 1523 3005 1341 3006 1523 3006 1524 3006 1526 3007 1523 3007 1341 3007 1527 3008 1305 3008 1523 3008 1526 3009 1528 3009 1523 3009 1529 3010 1523 3010 1528 3010 1529 3011 1527 3011 1523 3011 1377 3012 1523 3012 1370 3012 1305 3013 1530 3013 1522 3013 1373 3014 1522 3014 1530 3014 1370 3015 1522 3015 1373 3015 1315 3016 1531 3016 1530 3016 1388 3017 1530 3017 1531 3017 1305 3018 1315 3018 1530 3018 1373 3019 1530 3019 1388 3019 1315 3020 1532 3020 1531 3020 1386 3021 1531 3021 1532 3021 1388 3022 1531 3022 1386 3022 1533 3023 1534 3023 1532 3023 1385 3024 1532 3024 1534 3024 1533 3025 1532 3025 1535 3025 1315 3026 1535 3026 1532 3026 1386 3027 1532 3027 1385 3027 1536 3028 1537 3028 1534 3028 1382 3029 1534 3029 1537 3029 1533 3030 1536 3030 1534 3030 1382 3031 1385 3031 1534 3031 1538 3032 1525 3032 1537 3032 1380 3033 1537 3033 1525 3033 1539 3034 1537 3034 1536 3034 1540 3035 1538 3035 1537 3035 1539 3036 1540 3036 1537 3036 1382 3037 1537 3037 1380 3037 1541 3038 1524 3038 1525 3038 1541 3039 1525 3039 1538 3039 1380 3040 1525 3040 1377 3040 1321 3041 1542 3041 1543 3041 1392 3042 1543 3042 1542 3042 1321 3043 1543 3043 1544 3043 1397 3044 1544 3044 1543 3044 1397 3045 1543 3045 1392 3045 1321 3046 1545 3046 1542 3046 1395 3047 1542 3047 1545 3047 1392 3048 1542 3048 1395 3048 1330 3049 1546 3049 1545 3049 1411 3050 1545 3050 1546 3050 1324 3051 1330 3051 1545 3051 1321 3052 1324 3052 1545 3052 1395 3053 1545 3053 1411 3053 1330 3054 1547 3054 1546 3054 1409 3055 1546 3055 1547 3055 1411 3056 1546 3056 1409 3056 1330 3057 1548 3057 1547 3057 1406 3058 1547 3058 1548 3058 1409 3059 1547 3059 1406 3059 1330 3060 1549 3060 1548 3060 1403 3061 1548 3061 1549 3061 1403 3062 1406 3062 1548 3062 1315 3063 1544 3063 1549 3063 1400 3064 1549 3064 1544 3064 1315 3065 1549 3065 1330 3065 1403 3066 1549 3066 1400 3066 1315 3067 1321 3067 1544 3067 1400 3068 1544 3068 1397 3068 1330 3069 1550 3069 1535 3069 1416 3070 1535 3070 1550 3070 1423 3071 1533 3071 1535 3071 1315 3072 1330 3072 1535 3072 1423 3073 1535 3073 1416 3073 1330 3074 1551 3074 1550 3074 1419 3075 1550 3075 1551 3075 1416 3076 1550 3076 1419 3076 1341 3077 1552 3077 1551 3077 1434 3078 1551 3078 1552 3078 1330 3079 1341 3079 1551 3079 1419 3080 1551 3080 1434 3080 1341 3081 1524 3081 1552 3081 1432 3082 1552 3082 1524 3082 1434 3083 1552 3083 1432 3083 1553 3084 1554 3084 1524 3084 1431 3085 1524 3085 1554 3085 1541 3086 1553 3086 1524 3086 1432 3087 1524 3087 1431 3087 1539 3088 1536 3088 1554 3088 1428 3089 1554 3089 1536 3089 1555 3090 1539 3090 1554 3090 1553 3091 1555 3091 1554 3091 1428 3092 1431 3092 1554 3092 1426 3093 1536 3093 1533 3093 1428 3094 1536 3094 1426 3094 1426 3095 1533 3095 1423 3095 1527 3096 1341 3096 1305 3096 1556 3097 1287 3097 1341 3097 1557 3098 1526 3098 1341 3098 1558 3099 1557 3099 1341 3099 1527 3100 1558 3100 1341 3100 1559 3101 1556 3101 1341 3101 1560 3102 1559 3102 1341 3102 1561 3103 1560 3103 1341 3103 1562 3104 1561 3104 1341 3104 1342 3105 1562 3105 1341 3105 1556 3106 1291 3106 1287 3106 1563 3107 1538 3107 1540 3107 1564 3108 1541 3108 1538 3108 1564 3109 1538 3109 1563 3109 1565 3110 1540 3110 1539 3110 1565 3111 1563 3111 1540 3111 1566 3112 1539 3112 1555 3112 1565 3113 1539 3113 1566 3113 1567 3114 1555 3114 1553 3114 1566 3115 1555 3115 1567 3115 1568 3116 1553 3116 1541 3116 1567 3117 1553 3117 1568 3117 1568 3118 1541 3118 1564 3118 1569 3119 1528 3119 1526 3119 1570 3120 1529 3120 1528 3120 1570 3121 1528 3121 1569 3121 1571 3122 1526 3122 1557 3122 1571 3123 1569 3123 1526 3123 1572 3124 1557 3124 1558 3124 1571 3125 1557 3125 1572 3125 1573 3126 1558 3126 1527 3126 1572 3127 1558 3127 1573 3127 1574 3128 1527 3128 1529 3128 1573 3129 1527 3129 1574 3129 1574 3130 1529 3130 1570 3130 1449 3131 1575 3131 1576 3131 1577 3132 1576 3132 1575 3132 1448 3133 1576 3133 1578 3133 1579 3134 1578 3134 1576 3134 1450 3135 1449 3135 1576 3135 1448 3136 1450 3136 1576 3136 1579 3137 1576 3137 1577 3137 1451 3138 1580 3138 1575 3138 1581 3139 1575 3139 1580 3139 1449 3140 1451 3140 1575 3140 1577 3141 1575 3141 1581 3141 1452 3142 1582 3142 1580 3142 1583 3143 1580 3143 1582 3143 1451 3144 1452 3144 1580 3144 1581 3145 1580 3145 1583 3145 1452 3146 1584 3146 1582 3146 1585 3147 1582 3147 1584 3147 1583 3148 1582 3148 1585 3148 1490 3149 1586 3149 1584 3149 1587 3150 1584 3150 1586 3150 1488 3151 1490 3151 1584 3151 1452 3152 1488 3152 1584 3152 1585 3153 1584 3153 1587 3153 1490 3154 1588 3154 1586 3154 1589 3155 1586 3155 1588 3155 1587 3156 1586 3156 1589 3156 1490 3157 1590 3157 1588 3157 1591 3158 1588 3158 1590 3158 1589 3159 1588 3159 1591 3159 1490 3160 1592 3160 1590 3160 1593 3161 1590 3161 1592 3161 1591 3162 1590 3162 1593 3162 1492 3163 1594 3163 1592 3163 1595 3164 1592 3164 1594 3164 1490 3165 1492 3165 1592 3165 1593 3166 1592 3166 1595 3166 1493 3167 1596 3167 1594 3167 1597 3168 1594 3168 1596 3168 1492 3169 1493 3169 1594 3169 1595 3170 1594 3170 1597 3170 1446 3171 1578 3171 1596 3171 1598 3172 1596 3172 1578 3172 1493 3173 1495 3173 1596 3173 1446 3174 1596 3174 1495 3174 1597 3175 1596 3175 1598 3175 1446 3176 1448 3176 1578 3176 1579 3177 1598 3177 1578 3177 1447 3178 1599 3178 1600 3178 1601 3179 1600 3179 1599 3179 1496 3180 1600 3180 1602 3180 1603 3181 1602 3181 1600 3181 1445 3182 1600 3182 1496 3182 1445 3183 1447 3183 1600 3183 1603 3184 1600 3184 1601 3184 1447 3185 1604 3185 1599 3185 1605 3186 1599 3186 1604 3186 1601 3187 1599 3187 1605 3187 1447 3188 1606 3188 1604 3188 1607 3189 1604 3189 1606 3189 1605 3190 1604 3190 1607 3190 1446 3191 1608 3191 1606 3191 1609 3192 1606 3192 1608 3192 1447 3193 1446 3193 1606 3193 1607 3194 1606 3194 1609 3194 1446 3195 1610 3195 1608 3195 1611 3196 1608 3196 1610 3196 1609 3197 1608 3197 1611 3197 1446 3198 1612 3198 1610 3198 1613 3199 1610 3199 1612 3199 1613 3200 1611 3200 1610 3200 1494 3201 1614 3201 1612 3201 1615 3202 1612 3202 1614 3202 1446 3203 1494 3203 1612 3203 1613 3204 1612 3204 1615 3204 1494 3205 1616 3205 1614 3205 1617 3206 1614 3206 1616 3206 1615 3207 1614 3207 1617 3207 1494 3208 1618 3208 1616 3208 1619 3209 1616 3209 1618 3209 1617 3210 1616 3210 1619 3210 1494 3211 1620 3211 1618 3211 1621 3212 1618 3212 1620 3212 1619 3213 1618 3213 1621 3213 1494 3214 1602 3214 1620 3214 1622 3215 1620 3215 1602 3215 1621 3216 1620 3216 1622 3216 1494 3217 1496 3217 1602 3217 1622 3218 1602 3218 1603 3218 1436 3219 1513 3219 1512 3219 1437 3220 1511 3220 1513 3220 1436 3221 1437 3221 1513 3221 1440 3222 1509 3222 1511 3222 1437 3223 1440 3223 1511 3223 1440 3224 1510 3224 1509 3224 1440 3225 1508 3225 1510 3225 1440 3226 1507 3226 1508 3226 1497 3227 1506 3227 1507 3227 1440 3228 1497 3228 1507 3228 1498 3229 1503 3229 1506 3229 1497 3230 1498 3230 1506 3230 1498 3231 1504 3231 1503 3231 1498 3232 1502 3232 1504 3232 1501 3233 1500 3233 1502 3233 1499 3234 1501 3234 1502 3234 1498 3235 1499 3235 1502 3235 1445 3236 1496 3236 1497 3236 1440 3237 1445 3237 1497 3237 1446 3238 1495 3238 1494 3238 1492 3239 1491 3239 1493 3239 1454 3240 1487 3240 1488 3240 1452 3241 1454 3241 1488 3241 1456 3242 1485 3242 1487 3242 1454 3243 1456 3243 1487 3243 1457 3244 1486 3244 1485 3244 1456 3245 1457 3245 1485 3245 1457 3246 1484 3246 1486 3246 1459 3247 1482 3247 1484 3247 1457 3248 1459 3248 1484 3248 1458 3249 1483 3249 1482 3249 1459 3250 1458 3250 1482 3250 1460 3251 1481 3251 1483 3251 1458 3252 1460 3252 1483 3252 1461 3253 1480 3253 1481 3253 1460 3254 1461 3254 1481 3254 1475 3255 1479 3255 1480 3255 1473 3256 1475 3256 1480 3256 1474 3257 1473 3257 1480 3257 1472 3258 1474 3258 1480 3258 1471 3259 1472 3259 1480 3259 1461 3260 1471 3260 1480 3260 1477 3261 1478 3261 1479 3261 1475 3262 1477 3262 1479 3262 1477 3263 1476 3263 1478 3263 1461 3264 1470 3264 1471 3264 1462 3265 1467 3265 1470 3265 1461 3266 1462 3266 1470 3266 1462 3267 1468 3267 1467 3267 1462 3268 1466 3268 1468 3268 1465 3269 1464 3269 1466 3269 1463 3270 1465 3270 1466 3270 1462 3271 1463 3271 1466 3271 1456 3272 1455 3272 1457 3272 1623 3273 1440 3273 1437 3273 1624 3274 1441 3274 1440 3274 1623 3275 1624 3275 1440 3275 1625 3276 1437 3276 1438 3276 1626 3277 1623 3277 1437 3277 1627 3278 1626 3278 1437 3278 1625 3279 1627 3279 1437 3279 1294 3280 1438 3280 1439 3280 1295 3281 1625 3281 1438 3281 1295 3282 1438 3282 1294 3282 1293 3283 1439 3283 1435 3283 1294 3284 1439 3284 1293 3284 1292 3285 1435 3285 1442 3285 1293 3286 1435 3286 1292 3286 1290 3287 1442 3287 1443 3287 1292 3288 1442 3288 1290 3288 1342 3289 1443 3289 1444 3289 1342 3290 1290 3290 1443 3290 1562 3291 1444 3291 1441 3291 1342 3292 1444 3292 1562 3292 1561 3293 1441 3293 1624 3293 1562 3294 1441 3294 1561 3294 1560 3295 1624 3295 1623 3295 1561 3296 1624 3296 1560 3296 1559 3297 1623 3297 1626 3297 1560 3298 1623 3298 1559 3298 1556 3299 1626 3299 1627 3299 1559 3300 1626 3300 1556 3300 1291 3301 1627 3301 1625 3301 1556 3302 1627 3302 1291 3302 1291 3303 1625 3303 1295 3303 1579 3304 1597 3304 1598 3304 1577 3305 1595 3305 1597 3305 1579 3306 1577 3306 1597 3306 1563 3307 1593 3307 1595 3307 1577 3308 1581 3308 1595 3308 1568 3309 1595 3309 1581 3309 1564 3310 1563 3310 1595 3310 1568 3311 1564 3311 1595 3311 1565 3312 1591 3312 1593 3312 1565 3313 1593 3313 1563 3313 1585 3314 1589 3314 1591 3314 1583 3315 1585 3315 1591 3315 1565 3316 1583 3316 1591 3316 1585 3317 1587 3317 1589 3317 1568 3318 1581 3318 1583 3318 1567 3319 1568 3319 1583 3319 1566 3320 1567 3320 1583 3320 1565 3321 1566 3321 1583 3321 1572 3322 1609 3322 1611 3322 1619 3323 1621 3323 1611 3323 1569 3324 1611 3324 1621 3324 1613 3325 1619 3325 1611 3325 1571 3326 1611 3326 1569 3326 1571 3327 1572 3327 1611 3327 1573 3328 1607 3328 1609 3328 1572 3329 1573 3329 1609 3329 1603 3330 1605 3330 1607 3330 1573 3331 1603 3331 1607 3331 1603 3332 1601 3332 1605 3332 1574 3333 1622 3333 1603 3333 1573 3334 1574 3334 1603 3334 1569 3335 1621 3335 1622 3335 1570 3336 1569 3336 1622 3336 1574 3337 1570 3337 1622 3337 1613 3338 1617 3338 1619 3338 1613 3339 1615 3339 1617 3339 1628 3340 1629 3340 1630 3340 1631 3341 1630 3341 1629 3341 1632 3342 1628 3342 1630 3342 1633 3343 1632 3343 1630 3343 1634 3344 1633 3344 1630 3344 1635 3345 1636 3345 1630 3345 1637 3346 1630 3346 1636 3346 1631 3347 1635 3347 1630 3347 1637 3348 1634 3348 1630 3348 1638 3349 1629 3349 1628 3349 1638 3350 1631 3350 1629 3350 1639 3351 1628 3351 1632 3351 1638 3352 1628 3352 1639 3352 1639 3353 1632 3353 1633 3353 1640 3354 1639 3354 1633 3354 1641 3355 1640 3355 1633 3355 1642 3356 1643 3356 1633 3356 1641 3357 1633 3357 1643 3357 1644 3358 1642 3358 1633 3358 1645 3359 1644 3359 1633 3359 1646 3360 1645 3360 1633 3360 1647 3361 1646 3361 1633 3361 1648 3362 1647 3362 1633 3362 1649 3363 1648 3363 1633 3363 1650 3364 1649 3364 1633 3364 1651 3365 1650 3365 1633 3365 1652 3366 1651 3366 1633 3366 1653 3367 1652 3367 1633 3367 1654 3368 1653 3368 1633 3368 1655 3369 1654 3369 1633 3369 1656 3370 1655 3370 1633 3370 1634 3371 1656 3371 1633 3371 1657 3372 1639 3372 1640 3372 1658 3373 1639 3373 1657 3373 1638 3374 1639 3374 1659 3374 1660 3375 1659 3375 1639 3375 1661 3376 1639 3376 1658 3376 1660 3377 1639 3377 1661 3377 1662 3378 1657 3378 1640 3378 1663 3379 1662 3379 1640 3379 1664 3380 1663 3380 1640 3380 1665 3381 1664 3381 1640 3381 1666 3382 1665 3382 1640 3382 1667 3383 1666 3383 1640 3383 1668 3384 1667 3384 1640 3384 1641 3385 1668 3385 1640 3385 1669 3386 1657 3386 1662 3386 1670 3387 1657 3387 1669 3387 1671 3388 1657 3388 1672 3388 1673 3389 1672 3389 1657 3389 1674 3390 1657 3390 1671 3390 1675 3391 1657 3391 1674 3391 1676 3392 1657 3392 1675 3392 1677 3393 1657 3393 1676 3393 1678 3394 1657 3394 1677 3394 1679 3395 1657 3395 1678 3395 1680 3396 1657 3396 1679 3396 1681 3397 1657 3397 1680 3397 1682 3398 1657 3398 1681 3398 1683 3399 1657 3399 1682 3399 1684 3400 1657 3400 1683 3400 1658 3401 1657 3401 1684 3401 1670 3402 1673 3402 1657 3402 1685 3403 1669 3403 1662 3403 1685 3404 1662 3404 1686 3404 1663 3405 1686 3405 1662 3405 1687 3406 1669 3406 1685 3406 1688 3407 1669 3407 1687 3407 1689 3408 1669 3408 1688 3408 1690 3409 1669 3409 1689 3409 1691 3410 1669 3410 1690 3410 1670 3411 1669 3411 1691 3411 1663 3412 1685 3412 1686 3412 1687 3413 1685 3413 1663 3413 1664 3414 1687 3414 1663 3414 1688 3415 1687 3415 1664 3415 1665 3416 1688 3416 1664 3416 1689 3417 1688 3417 1665 3417 1692 3418 1689 3418 1665 3418 1666 3419 1692 3419 1665 3419 1690 3420 1689 3420 1692 3420 1693 3421 1690 3421 1692 3421 1694 3422 1693 3422 1692 3422 1695 3423 1692 3423 1666 3423 1695 3424 1694 3424 1692 3424 1696 3425 1690 3425 1693 3425 1691 3426 1690 3426 1696 3426 1643 3427 1696 3427 1693 3427 1641 3428 1643 3428 1693 3428 1694 3429 1641 3429 1693 3429 1672 3430 1696 3430 1643 3430 1673 3431 1696 3431 1672 3431 1697 3432 1691 3432 1696 3432 1673 3433 1697 3433 1696 3433 1642 3434 1672 3434 1643 3434 1671 3435 1672 3435 1642 3435 1644 3436 1671 3436 1642 3436 1674 3437 1671 3437 1644 3437 1645 3438 1674 3438 1644 3438 1675 3439 1674 3439 1645 3439 1646 3440 1675 3440 1645 3440 1676 3441 1675 3441 1646 3441 1647 3442 1676 3442 1646 3442 1677 3443 1676 3443 1647 3443 1648 3444 1677 3444 1647 3444 1678 3445 1677 3445 1648 3445 1649 3446 1678 3446 1648 3446 1679 3447 1678 3447 1649 3447 1650 3448 1679 3448 1649 3448 1680 3449 1679 3449 1650 3449 1651 3450 1680 3450 1650 3450 1681 3451 1680 3451 1651 3451 1652 3452 1681 3452 1651 3452 1682 3453 1681 3453 1652 3453 1653 3454 1682 3454 1652 3454 1683 3455 1682 3455 1653 3455 1654 3456 1683 3456 1653 3456 1684 3457 1683 3457 1654 3457 1698 3458 1684 3458 1654 3458 1699 3459 1698 3459 1654 3459 1699 3460 1654 3460 1655 3460 1700 3461 1684 3461 1698 3461 1658 3462 1684 3462 1700 3462 1636 3463 1700 3463 1698 3463 1637 3464 1636 3464 1698 3464 1701 3465 1637 3465 1698 3465 1699 3466 1701 3466 1698 3466 1702 3467 1700 3467 1636 3467 1703 3468 1700 3468 1702 3468 1703 3469 1658 3469 1700 3469 1635 3470 1702 3470 1636 3470 1659 3471 1702 3471 1635 3471 1660 3472 1702 3472 1659 3472 1703 3473 1702 3473 1660 3473 1631 3474 1659 3474 1635 3474 1638 3475 1659 3475 1631 3475 1658 3476 1655 3476 1656 3476 1703 3477 1699 3477 1655 3477 1703 3478 1655 3478 1658 3478 1661 3479 1656 3479 1634 3479 1661 3480 1658 3480 1656 3480 1661 3481 1634 3481 1637 3481 1660 3482 1637 3482 1701 3482 1660 3483 1661 3483 1637 3483 1703 3484 1701 3484 1699 3484 1703 3485 1660 3485 1701 3485 1691 3486 1666 3486 1667 3486 1697 3487 1695 3487 1666 3487 1697 3488 1666 3488 1691 3488 1670 3489 1667 3489 1668 3489 1670 3490 1691 3490 1667 3490 1670 3491 1668 3491 1641 3491 1673 3492 1641 3492 1694 3492 1670 3493 1641 3493 1673 3493 1697 3494 1694 3494 1695 3494 1673 3495 1694 3495 1697 3495 1704 3496 1705 3496 1706 3496 1707 3497 1706 3497 1705 3497 1708 3498 1704 3498 1706 3498 1709 3499 1708 3499 1706 3499 1709 3500 1706 3500 1707 3500 1704 3501 1710 3501 1705 3501 1711 3502 1705 3502 1710 3502 1712 3503 1705 3503 1711 3503 1713 3504 1705 3504 1712 3504 1713 3505 1707 3505 1705 3505 1714 3506 1710 3506 1704 3506 1714 3507 1711 3507 1710 3507 1708 3508 1715 3508 1704 3508 1716 3509 1704 3509 1715 3509 1714 3510 1704 3510 1717 3510 1716 3511 1717 3511 1704 3511 1718 3512 1719 3512 1720 3512 1712 3513 1720 3513 1719 3513 1721 3514 1718 3514 1720 3514 1722 3515 1721 3515 1720 3515 1712 3516 1711 3516 1720 3516 1723 3517 1720 3517 1711 3517 1722 3518 1720 3518 1723 3518 1724 3519 1719 3519 1718 3519 1713 3520 1712 3520 1719 3520 1725 3521 1713 3521 1719 3521 1725 3522 1719 3522 1724 3522 1726 3523 1718 3523 1721 3523 1727 3524 1718 3524 1726 3524 1728 3525 1718 3525 1727 3525 1724 3526 1718 3526 1728 3526 1722 3527 1726 3527 1721 3527 1729 3528 1730 3528 1731 3528 1732 3529 1731 3529 1730 3529 1733 3530 1729 3530 1731 3530 1733 3531 1731 3531 1732 3531 1734 3532 1735 3532 1730 3532 1736 3533 1730 3533 1735 3533 1737 3534 1734 3534 1730 3534 1729 3535 1737 3535 1730 3535 1736 3536 1732 3536 1730 3536 1738 3537 1739 3537 1735 3537 1740 3538 1735 3538 1739 3538 1734 3539 1738 3539 1735 3539 1740 3540 1736 3540 1735 3540 1741 3541 1742 3541 1739 3541 1743 3542 1739 3542 1742 3542 1738 3543 1741 3543 1739 3543 1740 3544 1739 3544 1743 3544 1744 3545 1742 3545 1741 3545 1745 3546 1742 3546 1744 3546 1746 3547 1742 3547 1745 3547 1743 3548 1742 3548 1746 3548 1747 3549 1741 3549 1738 3549 1748 3550 1744 3550 1741 3550 1748 3551 1741 3551 1747 3551 1749 3552 1738 3552 1734 3552 1747 3553 1738 3553 1749 3553 1750 3554 1734 3554 1737 3554 1749 3555 1734 3555 1750 3555 1729 3556 1751 3556 1737 3556 1752 3557 1737 3557 1751 3557 1750 3558 1737 3558 1752 3558 1753 3559 1754 3559 1751 3559 1755 3560 1751 3560 1754 3560 1756 3561 1753 3561 1751 3561 1757 3562 1756 3562 1751 3562 1758 3563 1757 3563 1751 3563 1759 3564 1758 3564 1751 3564 1760 3565 1759 3565 1751 3565 1761 3566 1760 3566 1751 3566 1762 3567 1761 3567 1751 3567 1729 3568 1762 3568 1751 3568 1755 3569 1752 3569 1751 3569 1763 3570 1764 3570 1754 3570 1765 3571 1754 3571 1764 3571 1766 3572 1763 3572 1754 3572 1753 3573 1766 3573 1754 3573 1765 3574 1755 3574 1754 3574 1767 3575 1768 3575 1764 3575 1769 3576 1764 3576 1768 3576 1763 3577 1767 3577 1764 3577 1765 3578 1764 3578 1769 3578 1767 3579 1770 3579 1768 3579 1771 3580 1768 3580 1770 3580 1771 3581 1769 3581 1768 3581 1772 3582 1770 3582 1767 3582 1772 3583 1771 3583 1770 3583 1773 3584 1774 3584 1767 3584 1775 3585 1767 3585 1774 3585 1776 3586 1773 3586 1767 3586 1777 3587 1776 3587 1767 3587 1778 3588 1777 3588 1767 3588 1779 3589 1778 3589 1767 3589 1763 3590 1779 3590 1767 3590 1775 3591 1780 3591 1767 3591 1781 3592 1767 3592 1780 3592 1772 3593 1767 3593 1781 3593 1782 3594 1774 3594 1773 3594 1783 3595 1775 3595 1774 3595 1783 3596 1774 3596 1782 3596 1784 3597 1773 3597 1776 3597 1782 3598 1773 3598 1784 3598 1785 3599 1776 3599 1777 3599 1784 3600 1776 3600 1785 3600 1786 3601 1777 3601 1778 3601 1786 3602 1785 3602 1777 3602 1787 3603 1778 3603 1779 3603 1787 3604 1786 3604 1778 3604 1788 3605 1779 3605 1763 3605 1787 3606 1779 3606 1788 3606 1789 3607 1790 3607 1763 3607 1791 3608 1763 3608 1790 3608 1766 3609 1789 3609 1763 3609 1791 3610 1788 3610 1763 3610 1792 3611 1793 3611 1790 3611 1794 3612 1790 3612 1793 3612 1789 3613 1792 3613 1790 3613 1794 3614 1791 3614 1790 3614 1795 3615 1796 3615 1793 3615 1797 3616 1793 3616 1796 3616 1792 3617 1795 3617 1793 3617 1794 3618 1793 3618 1797 3618 1798 3619 1796 3619 1795 3619 1799 3620 1796 3620 1798 3620 1800 3621 1796 3621 1799 3621 1797 3622 1796 3622 1800 3622 1801 3623 1795 3623 1792 3623 1802 3624 1798 3624 1795 3624 1802 3625 1795 3625 1801 3625 1803 3626 1792 3626 1789 3626 1801 3627 1792 3627 1803 3627 1804 3628 1789 3628 1766 3628 1803 3629 1789 3629 1804 3629 1805 3630 1766 3630 1753 3630 1804 3631 1766 3631 1805 3631 1756 3632 1806 3632 1753 3632 1807 3633 1753 3633 1806 3633 1807 3634 1805 3634 1753 3634 1756 3635 1808 3635 1806 3635 1809 3636 1806 3636 1808 3636 1809 3637 1807 3637 1806 3637 1810 3638 1811 3638 1808 3638 1812 3639 1808 3639 1811 3639 1756 3640 1810 3640 1808 3640 1809 3641 1808 3641 1812 3641 1810 3642 1813 3642 1811 3642 1814 3643 1811 3643 1813 3643 1814 3644 1812 3644 1811 3644 1815 3645 1813 3645 1810 3645 1815 3646 1814 3646 1813 3646 1756 3647 1816 3647 1810 3647 1727 3648 1810 3648 1816 3648 1817 3649 1810 3649 1727 3649 1818 3650 1810 3650 1817 3650 1815 3651 1810 3651 1818 3651 1819 3652 1816 3652 1756 3652 1728 3653 1727 3653 1816 3653 1820 3654 1728 3654 1816 3654 1821 3655 1816 3655 1819 3655 1820 3656 1816 3656 1821 3656 1819 3657 1756 3657 1757 3657 1822 3658 1757 3658 1758 3658 1819 3659 1757 3659 1822 3659 1823 3660 1758 3660 1759 3660 1822 3661 1758 3661 1823 3661 1824 3662 1759 3662 1760 3662 1823 3663 1759 3663 1824 3663 1825 3664 1760 3664 1761 3664 1824 3665 1760 3665 1825 3665 1826 3666 1761 3666 1762 3666 1825 3667 1761 3667 1826 3667 1827 3668 1762 3668 1729 3668 1826 3669 1762 3669 1827 3669 1733 3670 1827 3670 1729 3670 1828 3671 1829 3671 1830 3671 1831 3672 1830 3672 1829 3672 1832 3673 1828 3673 1830 3673 1833 3674 1832 3674 1830 3674 1834 3675 1830 3675 1831 3675 1835 3676 1830 3676 1834 3676 1833 3677 1830 3677 1835 3677 1836 3678 1829 3678 1828 3678 1837 3679 1831 3679 1829 3679 1838 3680 1829 3680 1836 3680 1837 3681 1829 3681 1838 3681 1839 3682 1828 3682 1832 3682 1840 3683 1828 3683 1839 3683 1841 3684 1828 3684 1840 3684 1836 3685 1828 3685 1841 3685 1833 3686 1839 3686 1832 3686 1842 3687 1843 3687 1844 3687 1845 3688 1844 3688 1843 3688 1846 3689 1842 3689 1844 3689 1847 3690 1846 3690 1844 3690 1847 3691 1844 3691 1845 3691 1842 3692 1848 3692 1843 3692 1849 3693 1843 3693 1848 3693 1850 3694 1845 3694 1843 3694 1849 3695 1850 3695 1843 3695 1842 3696 1851 3696 1848 3696 1852 3697 1848 3697 1851 3697 1852 3698 1853 3698 1848 3698 1849 3699 1848 3699 1853 3699 1854 3700 1851 3700 1842 3700 1855 3701 1852 3701 1851 3701 1855 3702 1851 3702 1854 3702 1856 3703 1857 3703 1842 3703 1840 3704 1842 3704 1857 3704 1846 3705 1856 3705 1842 3705 1840 3706 1839 3706 1842 3706 1858 3707 1842 3707 1839 3707 1854 3708 1842 3708 1858 3708 1859 3709 1857 3709 1856 3709 1841 3710 1840 3710 1857 3710 1860 3711 1841 3711 1857 3711 1860 3712 1857 3712 1859 3712 1861 3713 1856 3713 1846 3713 1859 3714 1856 3714 1861 3714 1847 3715 1861 3715 1846 3715 1862 3716 1863 3716 1864 3716 1865 3717 1864 3717 1863 3717 1866 3718 1862 3718 1864 3718 1867 3719 1866 3719 1864 3719 1867 3720 1864 3720 1865 3720 1862 3721 1868 3721 1863 3721 1869 3722 1863 3722 1868 3722 1869 3723 1865 3723 1863 3723 1862 3724 1870 3724 1868 3724 1871 3725 1868 3725 1870 3725 1871 3726 1869 3726 1868 3726 1862 3727 1872 3727 1870 3727 1873 3728 1870 3728 1872 3728 1873 3729 1871 3729 1870 3729 1862 3730 1874 3730 1872 3730 1875 3731 1872 3731 1874 3731 1876 3732 1872 3732 1875 3732 1873 3733 1872 3733 1876 3733 1877 3734 1878 3734 1874 3734 1745 3735 1874 3735 1878 3735 1879 3736 1877 3736 1874 3736 1862 3737 1879 3737 1874 3737 1745 3738 1744 3738 1874 3738 1875 3739 1874 3739 1744 3739 1880 3740 1878 3740 1877 3740 1881 3741 1745 3741 1878 3741 1881 3742 1878 3742 1880 3742 1880 3743 1877 3743 1879 3743 1862 3744 1882 3744 1879 3744 1883 3745 1879 3745 1882 3745 1880 3746 1879 3746 1883 3746 1862 3747 1884 3747 1882 3747 1885 3748 1882 3748 1884 3748 1883 3749 1882 3749 1885 3749 1862 3750 1886 3750 1884 3750 1887 3751 1884 3751 1886 3751 1887 3752 1885 3752 1884 3752 1862 3753 1888 3753 1886 3753 1889 3754 1886 3754 1888 3754 1889 3755 1887 3755 1886 3755 1862 3756 1890 3756 1888 3756 1891 3757 1888 3757 1890 3757 1891 3758 1889 3758 1888 3758 1892 3759 1890 3759 1862 3759 1891 3760 1890 3760 1892 3760 1893 3761 1894 3761 1862 3761 1895 3762 1862 3762 1894 3762 1866 3763 1893 3763 1862 3763 1895 3764 1896 3764 1862 3764 1897 3765 1862 3765 1896 3765 1892 3766 1862 3766 1898 3766 1897 3767 1898 3767 1862 3767 1899 3768 1894 3768 1893 3768 1900 3769 1895 3769 1894 3769 1900 3770 1894 3770 1899 3770 1901 3771 1893 3771 1866 3771 1899 3772 1893 3772 1901 3772 1867 3773 1901 3773 1866 3773 1902 3774 1903 3774 1904 3774 1905 3775 1904 3775 1903 3775 1906 3776 1902 3776 1904 3776 1907 3777 1906 3777 1904 3777 1907 3778 1904 3778 1905 3778 1902 3779 1908 3779 1903 3779 1909 3780 1903 3780 1908 3780 1909 3781 1905 3781 1903 3781 1902 3782 1910 3782 1908 3782 1911 3783 1908 3783 1910 3783 1911 3784 1909 3784 1908 3784 1912 3785 1910 3785 1902 3785 1913 3786 1910 3786 1912 3786 1911 3787 1910 3787 1913 3787 1914 3788 1915 3788 1902 3788 1896 3789 1902 3789 1915 3789 1906 3790 1914 3790 1902 3790 1895 3791 1902 3791 1896 3791 1912 3792 1902 3792 1895 3792 1916 3793 1915 3793 1914 3793 1897 3794 1896 3794 1915 3794 1917 3795 1915 3795 1916 3795 1897 3796 1915 3796 1917 3796 1916 3797 1914 3797 1906 3797 1907 3798 1916 3798 1906 3798 1918 3799 1919 3799 1920 3799 1921 3800 1920 3800 1919 3800 1922 3801 1918 3801 1920 3801 1922 3802 1920 3802 1921 3802 1923 3803 1924 3803 1919 3803 1925 3804 1919 3804 1924 3804 1926 3805 1923 3805 1919 3805 1927 3806 1926 3806 1919 3806 1928 3807 1927 3807 1919 3807 1929 3808 1928 3808 1919 3808 1930 3809 1929 3809 1919 3809 1931 3810 1930 3810 1919 3810 1932 3811 1931 3811 1919 3811 1933 3812 1932 3812 1919 3812 1934 3813 1933 3813 1919 3813 1935 3814 1934 3814 1919 3814 1936 3815 1935 3815 1919 3815 1918 3816 1936 3816 1919 3816 1925 3817 1937 3817 1919 3817 1938 3818 1919 3818 1937 3818 1921 3819 1919 3819 1938 3819 1939 3820 1924 3820 1923 3820 1940 3821 1925 3821 1924 3821 1940 3822 1924 3822 1939 3822 1941 3823 1923 3823 1926 3823 1939 3824 1923 3824 1941 3824 1942 3825 1926 3825 1927 3825 1941 3826 1926 3826 1942 3826 1943 3827 1927 3827 1928 3827 1942 3828 1927 3828 1943 3828 1944 3829 1928 3829 1929 3829 1944 3830 1943 3830 1928 3830 1945 3831 1929 3831 1930 3831 1945 3832 1944 3832 1929 3832 1946 3833 1930 3833 1931 3833 1946 3834 1945 3834 1930 3834 1947 3835 1931 3835 1932 3835 1948 3836 1931 3836 1947 3836 1946 3837 1931 3837 1948 3837 1949 3838 1950 3838 1932 3838 1799 3839 1932 3839 1950 3839 1933 3840 1949 3840 1932 3840 1799 3841 1798 3841 1932 3841 1947 3842 1932 3842 1798 3842 1951 3843 1950 3843 1949 3843 1952 3844 1799 3844 1950 3844 1952 3845 1950 3845 1951 3845 1951 3846 1949 3846 1933 3846 1953 3847 1933 3847 1934 3847 1951 3848 1933 3848 1953 3848 1954 3849 1934 3849 1935 3849 1953 3850 1934 3850 1954 3850 1955 3851 1935 3851 1936 3851 1955 3852 1954 3852 1935 3852 1956 3853 1936 3853 1918 3853 1956 3854 1955 3854 1936 3854 1922 3855 1956 3855 1918 3855 1957 3856 1958 3856 1959 3856 1960 3857 1959 3857 1958 3857 1961 3858 1957 3858 1959 3858 1962 3859 1961 3859 1959 3859 1962 3860 1959 3860 1960 3860 1957 3861 1963 3861 1958 3861 1964 3862 1958 3862 1963 3862 1964 3863 1960 3863 1958 3863 1957 3864 1965 3864 1963 3864 1966 3865 1963 3865 1965 3865 1966 3866 1964 3866 1963 3866 1967 3867 1965 3867 1957 3867 1968 3868 1965 3868 1967 3868 1966 3869 1965 3869 1968 3869 1969 3870 1970 3870 1957 3870 1937 3871 1957 3871 1970 3871 1961 3872 1969 3872 1957 3872 1925 3873 1957 3873 1937 3873 1940 3874 1957 3874 1925 3874 1940 3875 1967 3875 1957 3875 1971 3876 1970 3876 1969 3876 1972 3877 1937 3877 1970 3877 1973 3878 1970 3878 1971 3878 1972 3879 1970 3879 1973 3879 1971 3880 1969 3880 1961 3880 1962 3881 1971 3881 1961 3881 1974 3882 1975 3882 1976 3882 1977 3883 1976 3883 1975 3883 1978 3884 1976 3884 1979 3884 1980 3885 1979 3885 1976 3885 1978 3886 1974 3886 1976 3886 1980 3887 1976 3887 1977 3887 1974 3888 1981 3888 1975 3888 1982 3889 1975 3889 1981 3889 1982 3890 1977 3890 1975 3890 1983 3891 1984 3891 1981 3891 1985 3892 1981 3892 1984 3892 1974 3893 1983 3893 1981 3893 1982 3894 1981 3894 1985 3894 1983 3895 1986 3895 1984 3895 1987 3896 1984 3896 1986 3896 1985 3897 1984 3897 1987 3897 1983 3898 1988 3898 1986 3898 1989 3899 1986 3899 1988 3899 1987 3900 1986 3900 1989 3900 1990 3901 1991 3901 1988 3901 1992 3902 1988 3902 1991 3902 1993 3903 1988 3903 1983 3903 1994 3904 1990 3904 1988 3904 1993 3905 1994 3905 1988 3905 1989 3906 1988 3906 1992 3906 1978 3907 1979 3907 1991 3907 1995 3908 1991 3908 1979 3908 1990 3909 1978 3909 1991 3909 1992 3910 1991 3910 1995 3910 1995 3911 1979 3911 1980 3911 1996 3912 1983 3912 1974 3912 1997 3913 1993 3913 1983 3913 1997 3914 1983 3914 1996 3914 1978 3915 1998 3915 1974 3915 1999 3916 1974 3916 1998 3916 1999 3917 1996 3917 1974 3917 1978 3918 2000 3918 1998 3918 2001 3919 1998 3919 2000 3919 2001 3920 1999 3920 1998 3920 2002 3921 2000 3921 1978 3921 2001 3922 2000 3922 2002 3922 2003 3923 1978 3923 1990 3923 2003 3924 2004 3924 1978 3924 2005 3925 1978 3925 2004 3925 2002 3926 1978 3926 2005 3926 2006 3927 1990 3927 1994 3927 2007 3928 2003 3928 1990 3928 2007 3929 1990 3929 2006 3929 2008 3930 1994 3930 1993 3930 2006 3931 1994 3931 2008 3931 1997 3932 2008 3932 1993 3932 2009 3933 2010 3933 2011 3933 1715 3934 2011 3934 2010 3934 2012 3935 2009 3935 2011 3935 2013 3936 2012 3936 2011 3936 1708 3937 2011 3937 1715 3937 1709 3938 2011 3938 1708 3938 2013 3939 2011 3939 2014 3939 1709 3940 2014 3940 2011 3940 2015 3941 2010 3941 2009 3941 1716 3942 1715 3942 2010 3942 1716 3943 2010 3943 2015 3943 2004 3944 2009 3944 2012 3944 2003 3945 2009 3945 2004 3945 2016 3946 2009 3946 2003 3946 2015 3947 2009 3947 2016 3947 2013 3948 2004 3948 2012 3948 2017 3949 2018 3949 2019 3949 2020 3950 2019 3950 2018 3950 2021 3951 2019 3951 2022 3951 2023 3952 2022 3952 2019 3952 2021 3953 2017 3953 2019 3953 2023 3954 2019 3954 2020 3954 2024 3955 2025 3955 2018 3955 2026 3956 2018 3956 2025 3956 2017 3957 2024 3957 2018 3957 2026 3958 2020 3958 2018 3958 2024 3959 2027 3959 2025 3959 2028 3960 2025 3960 2027 3960 2026 3961 2025 3961 2028 3961 2024 3962 2029 3962 2027 3962 2030 3963 2027 3963 2029 3963 2028 3964 2027 3964 2030 3964 2031 3965 2032 3965 2029 3965 2033 3966 2029 3966 2032 3966 2034 3967 2029 3967 2024 3967 2035 3968 2031 3968 2029 3968 2034 3969 2035 3969 2029 3969 2030 3970 2029 3970 2033 3970 2031 3971 2036 3971 2032 3971 2037 3972 2032 3972 2036 3972 2033 3973 2032 3973 2037 3973 2021 3974 2022 3974 2036 3974 2038 3975 2036 3975 2022 3975 2031 3976 2021 3976 2036 3976 2037 3977 2036 3977 2038 3977 2038 3978 2022 3978 2023 3978 2039 3979 2024 3979 2017 3979 2040 3980 2034 3980 2024 3980 2040 3981 2024 3981 2039 3981 2021 3982 2041 3982 2017 3982 2042 3983 2017 3983 2041 3983 2042 3984 2039 3984 2017 3984 2021 3985 2043 3985 2041 3985 2044 3986 2041 3986 2043 3986 2044 3987 2042 3987 2041 3987 2045 3988 2043 3988 2021 3988 2044 3989 2043 3989 2045 3989 2046 3990 2021 3990 2031 3990 2046 3991 2047 3991 2021 3991 2048 3992 2021 3992 2047 3992 2045 3993 2021 3993 2048 3993 2049 3994 2031 3994 2035 3994 2049 3995 2046 3995 2031 3995 2050 3996 2035 3996 2034 3996 2049 3997 2035 3997 2050 3997 2040 3998 2050 3998 2034 3998 2051 3999 2052 3999 2053 3999 1853 4000 2053 4000 2052 4000 2054 4001 2051 4001 2053 4001 2055 4002 2054 4002 2053 4002 1852 4003 2053 4003 1853 4003 1855 4004 2053 4004 1852 4004 2055 4005 2053 4005 2056 4005 1855 4006 2056 4006 2053 4006 2057 4007 2052 4007 2051 4007 2058 4008 1853 4008 2052 4008 2058 4009 2052 4009 2057 4009 2047 4010 2051 4010 2054 4010 2046 4011 2051 4011 2047 4011 2059 4012 2051 4012 2046 4012 2057 4013 2051 4013 2059 4013 2060 4014 2047 4014 2054 4014 2060 4015 2054 4015 2055 4015 1900 4016 1912 4016 1895 4016 1972 4017 1938 4017 1937 4017 2058 4018 1849 4018 1853 4018 1748 4019 1875 4019 1744 4019 2061 4020 1746 4020 1745 4020 2061 4021 1745 4021 1881 4021 1802 4022 1947 4022 1798 4022 2062 4023 1800 4023 1799 4023 2062 4024 1799 4024 1952 4024 1727 4025 1726 4025 2063 4025 2064 4026 2063 4026 1726 4026 1817 4027 1727 4027 2063 4027 2065 4028 1817 4028 2063 4028 2065 4029 2063 4029 2064 4029 2066 4030 1726 4030 1722 4030 2064 4031 1726 4031 2066 4031 2065 4032 1818 4032 1817 4032 2067 4033 1711 4033 1714 4033 2067 4034 1723 4034 1711 4034 2068 4035 1839 4035 1833 4035 2068 4036 1858 4036 1839 4036 2069 4037 2070 4037 1780 4037 2071 4038 1780 4038 2070 4038 1775 4039 2069 4039 1780 4039 2071 4040 1781 4040 1780 4040 1834 4041 1831 4041 2070 4041 1837 4042 2070 4042 1831 4042 2069 4043 1834 4043 2070 4043 2071 4044 2070 4044 1837 4044 2072 4045 1834 4045 2069 4045 2073 4046 1835 4046 1834 4046 2073 4047 1834 4047 2072 4047 2072 4048 2069 4048 1775 4048 1783 4049 2072 4049 1775 4049 2074 4050 2005 4050 2004 4050 2074 4051 2004 4051 2013 4051 2007 4052 2016 4052 2003 4052 2060 4053 2048 4053 2047 4053 2075 4054 2046 4054 2049 4054 2075 4055 2059 4055 2046 4055 1823 4056 1826 4056 1827 4056 1787 4057 1823 4057 1827 4057 1733 4058 1787 4058 1827 4058 1824 4059 1825 4059 1826 4059 1823 4060 1824 4060 1826 4060 1787 4061 1732 4061 1736 4061 1733 4062 1732 4062 1787 4062 1787 4063 1736 4063 1752 4063 1740 4064 1752 4064 1736 4064 1782 4065 1752 4065 1755 4065 1787 4066 1752 4066 1786 4066 1782 4067 1786 4067 1752 4067 1740 4068 1750 4068 1752 4068 1765 4069 1782 4069 1755 4069 1782 4070 1769 4070 1771 4070 1765 4071 1769 4071 1782 4071 1772 4072 1782 4072 1771 4072 1782 4073 1785 4073 1786 4073 1782 4074 1784 4074 1785 4074 1821 4075 1788 4075 1791 4075 1787 4076 1788 4076 1821 4076 1821 4077 1791 4077 1805 4077 1794 4078 1805 4078 1791 4078 1821 4079 1805 4079 1807 4079 1794 4080 1804 4080 1805 4080 1809 4081 1821 4081 1807 4081 1821 4082 1812 4082 1814 4082 1809 4083 1812 4083 1821 4083 1815 4084 1821 4084 1814 4084 1859 4085 1845 4085 1850 4085 1847 4086 1845 4086 1859 4086 1854 4087 1859 4087 1850 4087 1849 4088 1854 4088 1850 4088 1899 4089 1865 4089 1869 4089 1867 4090 1865 4090 1899 4090 1899 4091 1869 4091 1871 4091 1873 4092 1899 4092 1871 4092 1899 4093 1885 4093 1887 4093 1883 4094 1885 4094 1899 4094 1899 4095 1887 4095 1889 4095 1891 4096 1899 4096 1889 4096 1917 4097 1905 4097 1909 4097 1907 4098 1905 4098 1917 4098 1911 4099 1917 4099 1909 4099 1939 4100 1943 4100 1944 4100 1939 4101 1942 4101 1943 4101 1939 4102 1944 4102 1945 4102 1939 4103 1945 4103 1946 4103 1939 4104 1954 4104 1955 4104 1939 4105 1953 4105 1954 4105 1939 4106 1955 4106 1956 4106 1922 4107 1939 4107 1956 4107 1973 4108 1960 4108 1964 4108 1962 4109 1960 4109 1973 4109 1966 4110 1973 4110 1964 4110 1987 4111 1996 4111 1999 4111 1987 4112 1989 4112 1996 4112 2006 4113 1996 4113 1989 4113 1997 4114 1996 4114 2006 4114 1982 4115 1999 4115 1977 4115 2001 4116 1977 4116 1999 4116 1985 4117 1987 4117 1999 4117 1982 4118 1985 4118 1999 4118 2028 4119 2039 4119 2042 4119 2030 4120 2033 4120 2039 4120 2049 4121 2039 4121 2033 4121 2028 4122 2030 4122 2039 4122 2040 4123 2039 4123 2049 4123 2023 4124 2020 4124 2042 4124 2026 4125 2042 4125 2020 4125 2044 4126 2023 4126 2042 4126 2026 4127 2028 4127 2042 4127 1714 4128 1717 4128 1707 4128 1716 4129 1707 4129 1717 4129 1713 4130 1714 4130 1707 4130 1716 4131 1709 4131 1707 4131 1725 4132 1714 4132 1713 4132 2067 4133 1714 4133 1725 4133 1724 4134 1722 4134 1723 4134 2067 4135 1724 4135 1723 4135 1724 4136 1728 4136 1722 4136 1820 4137 1722 4137 1728 4137 2066 4138 1722 4138 1820 4138 2067 4139 1725 4139 1724 4139 1787 4140 1822 4140 1823 4140 1787 4141 1819 4141 1822 4141 1787 4142 1821 4142 1819 4142 1815 4143 1818 4143 1821 4143 2065 4144 1821 4144 1818 4144 2064 4145 1820 4145 1821 4145 2065 4146 2064 4146 1821 4146 1797 4147 1803 4147 1804 4147 1794 4148 1797 4148 1804 4148 1800 4149 1801 4149 1803 4149 1797 4150 1800 4150 1803 4150 2062 4151 1801 4151 1800 4151 1802 4152 1801 4152 2062 4152 1772 4153 1781 4153 1782 4153 2071 4154 1782 4154 1781 4154 1783 4155 1782 4155 2071 4155 1743 4156 1749 4156 1750 4156 1740 4157 1743 4157 1750 4157 1746 4158 1747 4158 1749 4158 1743 4159 1746 4159 1749 4159 2061 4160 1747 4160 1746 4160 1748 4161 1747 4161 2061 4161 1836 4162 1833 4162 1835 4162 2073 4163 1836 4163 1835 4163 1836 4164 1841 4164 1833 4164 1860 4165 1833 4165 1841 4165 2068 4166 1833 4166 1860 4166 1838 4167 1836 4167 2073 4167 1847 4168 1859 4168 1861 4168 1854 4169 1858 4169 1859 4169 2068 4170 1859 4170 1858 4170 2068 4171 1860 4171 1859 4171 2058 4172 1854 4172 1849 4172 2058 4173 1855 4173 1854 4173 1867 4174 1899 4174 1901 4174 1892 4175 1898 4175 1899 4175 1897 4176 1899 4176 1898 4176 1891 4177 1892 4177 1899 4177 1880 4178 1883 4178 1899 4178 1881 4179 1880 4179 1899 4179 1873 4180 1881 4180 1899 4180 1897 4181 1900 4181 1899 4181 1876 4182 1875 4182 1881 4182 1748 4183 1881 4183 1875 4183 1873 4184 1876 4184 1881 4184 1748 4185 2061 4185 1881 4185 1907 4186 1917 4186 1916 4186 1913 4187 1912 4187 1917 4187 1900 4188 1917 4188 1912 4188 1911 4189 1913 4189 1917 4189 1897 4190 1917 4190 1900 4190 1939 4191 1951 4191 1953 4191 1939 4192 1952 4192 1951 4192 1948 4193 1947 4193 1952 4193 1802 4194 1952 4194 1947 4194 1946 4195 1948 4195 1952 4195 1939 4196 1946 4196 1952 4196 1802 4197 2062 4197 1952 4197 1939 4198 1941 4198 1942 4198 1921 4199 1938 4199 1939 4199 1972 4200 1939 4200 1938 4200 1922 4201 1921 4201 1939 4201 1972 4202 1940 4202 1939 4202 1962 4203 1973 4203 1971 4203 1968 4204 1967 4204 1973 4204 1940 4205 1973 4205 1967 4205 1966 4206 1968 4206 1973 4206 1972 4207 1973 4207 1940 4207 2002 4208 1980 4208 1977 4208 2001 4209 2002 4209 1977 4209 2005 4210 1995 4210 1980 4210 2002 4211 2005 4211 1980 4211 2006 4212 1992 4212 1995 4212 2005 4213 2006 4213 1995 4213 2006 4214 1989 4214 1992 4214 1997 4215 2006 4215 2008 4215 2074 4216 2006 4216 2005 4216 2074 4217 2007 4217 2006 4217 2015 4218 2013 4218 2014 4218 1709 4219 2015 4219 2014 4219 2015 4220 2016 4220 2013 4220 2007 4221 2013 4221 2016 4221 2074 4222 2013 4222 2007 4222 1716 4223 2015 4223 1709 4223 2049 4224 2038 4224 2023 4224 2048 4225 2049 4225 2023 4225 2045 4226 2048 4226 2023 4226 2044 4227 2045 4227 2023 4227 2049 4228 2037 4228 2038 4228 2049 4229 2033 4229 2037 4229 2040 4230 2049 4230 2050 4230 2060 4231 2049 4231 2048 4231 2060 4232 2075 4232 2049 4232 2057 4233 2055 4233 2056 4233 1855 4234 2057 4234 2056 4234 2057 4235 2059 4235 2055 4235 2075 4236 2055 4236 2059 4236 2060 4237 2055 4237 2075 4237 2058 4238 2057 4238 1855 4238 2064 4239 2066 4239 1820 4239 1838 4240 2073 4240 2072 4240 1837 4241 1838 4241 2072 4241 1783 4242 1837 4242 2072 4242 1783 4243 2071 4243 1837 4243 2076 4244 2077 4244 2078 4244 2079 4245 2078 4245 2077 4245 2080 4246 2078 4246 2081 4246 2079 4247 2081 4247 2078 4247 2082 4248 2078 4248 2083 4248 2084 4249 2083 4249 2078 4249 2085 4250 2086 4250 2078 4250 2087 4251 2078 4251 2086 4251 2088 4252 2085 4252 2078 4252 2089 4253 2088 4253 2078 4253 2082 4254 2089 4254 2078 4254 2090 4255 2076 4255 2078 4255 2087 4256 2090 4256 2078 4256 2080 4257 2084 4257 2078 4257 2091 4258 2092 4258 2077 4258 2093 4259 2077 4259 2092 4259 2094 4260 2077 4260 2095 4260 2096 4261 2095 4261 2077 4261 2097 4262 2098 4262 2077 4262 2099 4263 2077 4263 2098 4263 2094 4264 2097 4264 2077 4264 2096 4265 2077 4265 2076 4265 2099 4266 2091 4266 2077 4266 2100 4267 2079 4267 2077 4267 2093 4268 2100 4268 2077 4268 2091 4269 2101 4269 2092 4269 2102 4270 2092 4270 2101 4270 2093 4271 2092 4271 2102 4271 2103 4272 2104 4272 2101 4272 2105 4273 2101 4273 2104 4273 2091 4274 2103 4274 2101 4274 2105 4275 2102 4275 2101 4275 2106 4276 2107 4276 2104 4276 2108 4277 2104 4277 2107 4277 2109 4278 2110 4278 2104 4278 2111 4279 2104 4279 2110 4279 2112 4280 2109 4280 2104 4280 2113 4281 2112 4281 2104 4281 2114 4282 2113 4282 2104 4282 2115 4283 2114 4283 2104 4283 2116 4284 2115 4284 2104 4284 2117 4285 2106 4285 2104 4285 2111 4286 2117 4286 2104 4286 2103 4287 2116 4287 2104 4287 2105 4288 2104 4288 2108 4288 2118 4289 2119 4289 2107 4289 2120 4290 2107 4290 2119 4290 2121 4291 2122 4291 2107 4291 2123 4292 2107 4292 2122 4292 2124 4293 2121 4293 2107 4293 2125 4294 2124 4294 2107 4294 2126 4295 2125 4295 2107 4295 2123 4296 2118 4296 2107 4296 2106 4297 2126 4297 2107 4297 2108 4298 2107 4298 2120 4298 2118 4299 2081 4299 2119 4299 2127 4300 2119 4300 2081 4300 2120 4301 2119 4301 2127 4301 2118 4302 2080 4302 2081 4302 2127 4303 2081 4303 2128 4303 2129 4304 2128 4304 2081 4304 2130 4305 2081 4305 2079 4305 2130 4306 2129 4306 2081 4306 2111 4307 2131 4307 2132 4307 2133 4308 2132 4308 2131 4308 2116 4309 2132 4309 2134 4309 2135 4310 2134 4310 2132 4310 2116 4311 2111 4311 2132 4311 2133 4312 2135 4312 2132 4312 2111 4313 2136 4313 2131 4313 2137 4314 2131 4314 2136 4314 2137 4315 2133 4315 2131 4315 2111 4316 2138 4316 2136 4316 2139 4317 2136 4317 2138 4317 2139 4318 2137 4318 2136 4318 2111 4319 2110 4319 2138 4319 2140 4320 2138 4320 2110 4320 2140 4321 2139 4321 2138 4321 2141 4322 2110 4322 2109 4322 2141 4323 2140 4323 2110 4323 2142 4324 2109 4324 2112 4324 2142 4325 2141 4325 2109 4325 2143 4326 2112 4326 2113 4326 2142 4327 2112 4327 2143 4327 2144 4328 2113 4328 2114 4328 2144 4329 2143 4329 2113 4329 2145 4330 2114 4330 2115 4330 2145 4331 2144 4331 2114 4331 2116 4332 2146 4332 2115 4332 2147 4333 2115 4333 2146 4333 2147 4334 2145 4334 2115 4334 2116 4335 2134 4335 2146 4335 2148 4336 2146 4336 2134 4336 2148 4337 2147 4337 2146 4337 2135 4338 2148 4338 2134 4338 2123 4339 2149 4339 2150 4339 2151 4340 2150 4340 2149 4340 2123 4341 2150 4341 2152 4341 2153 4342 2152 4342 2150 4342 2153 4343 2150 4343 2151 4343 2123 4344 2154 4344 2149 4344 2155 4345 2149 4345 2154 4345 2155 4346 2151 4346 2149 4346 2123 4347 2122 4347 2154 4347 2156 4348 2154 4348 2122 4348 2156 4349 2155 4349 2154 4349 2157 4350 2122 4350 2121 4350 2157 4351 2156 4351 2122 4351 2158 4352 2121 4352 2124 4352 2158 4353 2157 4353 2121 4353 2159 4354 2124 4354 2125 4354 2159 4355 2158 4355 2124 4355 2126 4356 2160 4356 2125 4356 2161 4357 2125 4357 2160 4357 2161 4358 2159 4358 2125 4358 2126 4359 2162 4359 2160 4359 2163 4360 2160 4360 2162 4360 2163 4361 2161 4361 2160 4361 2126 4362 2164 4362 2162 4362 2165 4363 2162 4363 2164 4363 2165 4364 2163 4364 2162 4364 2166 4365 2167 4365 2164 4365 2168 4366 2164 4366 2167 4366 2126 4367 2166 4367 2164 4367 2168 4368 2165 4368 2164 4368 2123 4369 2152 4369 2167 4369 2169 4370 2167 4370 2152 4370 2166 4371 2123 4371 2167 4371 2169 4372 2168 4372 2167 4372 2153 4373 2169 4373 2152 4373 2096 4374 2170 4374 2095 4374 2171 4375 2095 4375 2170 4375 2172 4376 2094 4376 2095 4376 2171 4377 2172 4377 2095 4377 2096 4378 2173 4378 2170 4378 2174 4379 2170 4379 2173 4379 2174 4380 2171 4380 2170 4380 2096 4381 2175 4381 2173 4381 2176 4382 2173 4382 2175 4382 2176 4383 2174 4383 2173 4383 2177 4384 2178 4384 2175 4384 2179 4385 2175 4385 2178 4385 2096 4386 2177 4386 2175 4386 2179 4387 2176 4387 2175 4387 2099 4388 2180 4388 2178 4388 2181 4389 2178 4389 2180 4389 2177 4390 2099 4390 2178 4390 2181 4391 2179 4391 2178 4391 2099 4392 2182 4392 2180 4392 2183 4393 2180 4393 2182 4393 2183 4394 2181 4394 2180 4394 2099 4395 2184 4395 2182 4395 2185 4396 2182 4396 2184 4396 2183 4397 2182 4397 2185 4397 2099 4398 2186 4398 2184 4398 2187 4399 2184 4399 2186 4399 2187 4400 2185 4400 2184 4400 2099 4401 2098 4401 2186 4401 2188 4402 2186 4402 2098 4402 2188 4403 2187 4403 2186 4403 2189 4404 2098 4404 2097 4404 2189 4405 2188 4405 2098 4405 2190 4406 2097 4406 2094 4406 2190 4407 2189 4407 2097 4407 2172 4408 2190 4408 2094 4408 2084 4409 2191 4409 2083 4409 2192 4410 2083 4410 2191 4410 2193 4411 2082 4411 2083 4411 2192 4412 2193 4412 2083 4412 2084 4413 2194 4413 2191 4413 2195 4414 2191 4414 2194 4414 2195 4415 2192 4415 2191 4415 2084 4416 2196 4416 2194 4416 2197 4417 2194 4417 2196 4417 2197 4418 2195 4418 2194 4418 2087 4419 2198 4419 2196 4419 2199 4420 2196 4420 2198 4420 2084 4421 2087 4421 2196 4421 2199 4422 2197 4422 2196 4422 2087 4423 2200 4423 2198 4423 2201 4424 2198 4424 2200 4424 2201 4425 2199 4425 2198 4425 2087 4426 2202 4426 2200 4426 2203 4427 2200 4427 2202 4427 2203 4428 2201 4428 2200 4428 2087 4429 2086 4429 2202 4429 2204 4430 2202 4430 2086 4430 2203 4431 2202 4431 2204 4431 2205 4432 2086 4432 2085 4432 2205 4433 2204 4433 2086 4433 2206 4434 2085 4434 2088 4434 2206 4435 2205 4435 2085 4435 2207 4436 2088 4436 2089 4436 2207 4437 2206 4437 2088 4437 2208 4438 2089 4438 2082 4438 2208 4439 2207 4439 2089 4439 2193 4440 2208 4440 2082 4440 2209 4441 2076 4441 2090 4441 2210 4442 2096 4442 2076 4442 2210 4443 2076 4443 2209 4443 2211 4444 2090 4444 2087 4444 2209 4445 2090 4445 2211 4445 2212 4446 2087 4446 2084 4446 2211 4447 2087 4447 2212 4447 2213 4448 2084 4448 2080 4448 2212 4449 2084 4449 2213 4449 2214 4450 2080 4450 2118 4450 2213 4451 2080 4451 2214 4451 2215 4452 2118 4452 2123 4452 2214 4453 2118 4453 2215 4453 2216 4454 2123 4454 2166 4454 2215 4455 2123 4455 2216 4455 2217 4456 2166 4456 2126 4456 2216 4457 2166 4457 2217 4457 2218 4458 2126 4458 2106 4458 2217 4459 2126 4459 2218 4459 2219 4460 2106 4460 2117 4460 2218 4461 2106 4461 2219 4461 2220 4462 2117 4462 2111 4462 2220 4463 2219 4463 2117 4463 2221 4464 2111 4464 2116 4464 2220 4465 2111 4465 2221 4465 2222 4466 2116 4466 2103 4466 2221 4467 2116 4467 2222 4467 2223 4468 2103 4468 2091 4468 2222 4469 2103 4469 2223 4469 2224 4470 2091 4470 2099 4470 2223 4471 2091 4471 2224 4471 2225 4472 2099 4472 2177 4472 2224 4473 2099 4473 2225 4473 2226 4474 2177 4474 2096 4474 2225 4475 2177 4475 2226 4475 2226 4476 2096 4476 2210 4476 2227 4477 2228 4477 2229 4477 2133 4478 2229 4478 2228 4478 2227 4479 2229 4479 2230 4479 2137 4480 2230 4480 2229 4480 2137 4481 2229 4481 2133 4481 2231 4482 2232 4482 2228 4482 2148 4483 2228 4483 2232 4483 2227 4484 2231 4484 2228 4484 2135 4485 2228 4485 2148 4485 2133 4486 2228 4486 2135 4486 2108 4487 2233 4487 2232 4487 2147 4488 2232 4488 2233 4488 2105 4489 2232 4489 2102 4489 2231 4490 2102 4490 2232 4490 2105 4491 2108 4491 2232 4491 2148 4492 2232 4492 2147 4492 2108 4493 2234 4493 2233 4493 2144 4494 2233 4494 2234 4494 2145 4495 2233 4495 2144 4495 2147 4496 2233 4496 2145 4496 2120 4497 2235 4497 2234 4497 2143 4498 2234 4498 2235 4498 2108 4499 2120 4499 2234 4499 2144 4500 2234 4500 2143 4500 2120 4501 2236 4501 2235 4501 2141 4502 2235 4502 2236 4502 2142 4503 2143 4503 2235 4503 2142 4504 2235 4504 2141 4504 2227 4505 2230 4505 2236 4505 2140 4506 2236 4506 2230 4506 2237 4507 2236 4507 2120 4507 2238 4508 2236 4508 2237 4508 2239 4509 2227 4509 2236 4509 2238 4510 2239 4510 2236 4510 2141 4511 2236 4511 2140 4511 2139 4512 2230 4512 2137 4512 2140 4513 2230 4513 2139 4513 2240 4514 2241 4514 2242 4514 2151 4515 2242 4515 2241 4515 2243 4516 2242 4516 2244 4516 2155 4517 2244 4517 2242 4517 2243 4518 2240 4518 2242 4518 2155 4519 2242 4519 2151 4519 2240 4520 2245 4520 2241 4520 2169 4521 2241 4521 2245 4521 2153 4522 2151 4522 2241 4522 2153 4523 2241 4523 2169 4523 2246 4524 2247 4524 2245 4524 2168 4525 2245 4525 2247 4525 2240 4526 2246 4526 2245 4526 2169 4527 2245 4527 2168 4527 2120 4528 2248 4528 2247 4528 2163 4529 2247 4529 2248 4529 2246 4530 2120 4530 2247 4530 2165 4531 2247 4531 2163 4531 2168 4532 2247 4532 2165 4532 2120 4533 2249 4533 2248 4533 2161 4534 2248 4534 2249 4534 2163 4535 2248 4535 2161 4535 2127 4536 2250 4536 2249 4536 2158 4537 2249 4537 2250 4537 2120 4538 2127 4538 2249 4538 2159 4539 2249 4539 2158 4539 2161 4540 2249 4540 2159 4540 2251 4541 2244 4541 2250 4541 2157 4542 2250 4542 2244 4542 2251 4543 2250 4543 2127 4543 2158 4544 2250 4544 2157 4544 2251 4545 2243 4545 2244 4545 2156 4546 2244 4546 2155 4546 2157 4547 2244 4547 2156 4547 2252 4548 2253 4548 2102 4548 2254 4549 2102 4549 2253 4549 2231 4550 2252 4550 2102 4550 2254 4551 2093 4551 2102 4551 2252 4552 2255 4552 2253 4552 2256 4553 2253 4553 2255 4553 2256 4554 2254 4554 2253 4554 2257 4555 2258 4555 2255 4555 2259 4556 2255 4556 2258 4556 2252 4557 2257 4557 2255 4557 2256 4558 2255 4558 2259 4558 2257 4559 2260 4559 2258 4559 2261 4560 2258 4560 2260 4560 2259 4561 2258 4561 2261 4561 2262 4562 2263 4562 2260 4562 2264 4563 2260 4563 2263 4563 2257 4564 2262 4564 2260 4564 2265 4565 2260 4565 2264 4565 2261 4566 2260 4566 2265 4566 2266 4567 2267 4567 2263 4567 2264 4568 2263 4568 2267 4568 2262 4569 2266 4569 2263 4569 2268 4570 2269 4570 2267 4570 2270 4571 2267 4571 2269 4571 2266 4572 2268 4572 2267 4572 2264 4573 2267 4573 2270 4573 2271 4574 2272 4574 2269 4574 2273 4575 2269 4575 2272 4575 2268 4576 2271 4576 2269 4576 2270 4577 2269 4577 2273 4577 2274 4578 2275 4578 2272 4578 2276 4579 2272 4579 2275 4579 2271 4580 2274 4580 2272 4580 2273 4581 2272 4581 2276 4581 2274 4582 2277 4582 2275 4582 2278 4583 2275 4583 2277 4583 2278 4584 2276 4584 2275 4584 2251 4585 2128 4585 2277 4585 2279 4586 2277 4586 2128 4586 2274 4587 2251 4587 2277 4587 2278 4588 2277 4588 2279 4588 2251 4589 2127 4589 2128 4589 2279 4590 2128 4590 2129 4590 2246 4591 2237 4591 2120 4591 2280 4592 2237 4592 2246 4592 2281 4593 2238 4593 2237 4593 2281 4594 2237 4594 2280 4594 2282 4595 2246 4595 2240 4595 2280 4596 2246 4596 2282 4596 2283 4597 2240 4597 2243 4597 2282 4598 2240 4598 2283 4598 2284 4599 2243 4599 2251 4599 2283 4600 2243 4600 2284 4600 2285 4601 2251 4601 2274 4601 2284 4602 2251 4602 2285 4602 2286 4603 2274 4603 2271 4603 2285 4604 2274 4604 2286 4604 2287 4605 2271 4605 2268 4605 2286 4606 2271 4606 2287 4606 2288 4607 2268 4607 2266 4607 2287 4608 2268 4608 2288 4608 2289 4609 2266 4609 2262 4609 2288 4610 2266 4610 2289 4610 2290 4611 2262 4611 2257 4611 2290 4612 2289 4612 2262 4612 2291 4613 2257 4613 2252 4613 2290 4614 2257 4614 2291 4614 2292 4615 2252 4615 2231 4615 2291 4616 2252 4616 2292 4616 2293 4617 2231 4617 2227 4617 2292 4618 2231 4618 2293 4618 2294 4619 2227 4619 2239 4619 2293 4620 2227 4620 2294 4620 2295 4621 2239 4621 2238 4621 2294 4622 2239 4622 2295 4622 2295 4623 2238 4623 2281 4623 2296 4624 2079 4624 2100 4624 2130 4625 2079 4625 2129 4625 2297 4626 2129 4626 2079 4626 2298 4627 2297 4627 2079 4627 2296 4628 2298 4628 2079 4628 2299 4629 2100 4629 2093 4629 2299 4630 2300 4630 2100 4630 2301 4631 2100 4631 2300 4631 2265 4632 2100 4632 2301 4632 2270 4633 2296 4633 2100 4633 2264 4634 2270 4634 2100 4634 2265 4635 2264 4635 2100 4635 2256 4636 2093 4636 2254 4636 2302 4637 2299 4637 2093 4637 2256 4638 2302 4638 2093 4638 2303 4639 2129 4639 2297 4639 2279 4640 2129 4640 2303 4640 2304 4641 2288 4641 2289 4641 2305 4642 2304 4642 2289 4642 2290 4643 2305 4643 2289 4643 2306 4644 2287 4644 2288 4644 2304 4645 2306 4645 2288 4645 2307 4646 2286 4646 2287 4646 2306 4647 2307 4647 2287 4647 2308 4648 2285 4648 2286 4648 2307 4649 2308 4649 2286 4649 2309 4650 2284 4650 2285 4650 2308 4651 2309 4651 2285 4651 2310 4652 2283 4652 2284 4652 2309 4653 2310 4653 2284 4653 2311 4654 2282 4654 2283 4654 2310 4655 2311 4655 2283 4655 2312 4656 2280 4656 2282 4656 2311 4657 2312 4657 2282 4657 2313 4658 2280 4658 2312 4658 2313 4659 2281 4659 2280 4659 2314 4660 2312 4660 2311 4660 2315 4661 2313 4661 2312 4661 2315 4662 2312 4662 2314 4662 2316 4663 2311 4663 2310 4663 2316 4664 2314 4664 2311 4664 2317 4665 2310 4665 2309 4665 2316 4666 2310 4666 2317 4666 2318 4667 2309 4667 2308 4667 2317 4668 2309 4668 2318 4668 2319 4669 2308 4669 2307 4669 2318 4670 2308 4670 2319 4670 2320 4671 2307 4671 2306 4671 2319 4672 2307 4672 2320 4672 2321 4673 2306 4673 2304 4673 2320 4674 2306 4674 2321 4674 2322 4675 2304 4675 2305 4675 2321 4676 2304 4676 2322 4676 2323 4677 2305 4677 2290 4677 2324 4678 2305 4678 2323 4678 2322 4679 2305 4679 2324 4679 2325 4680 2295 4680 2281 4680 2313 4681 2325 4681 2281 4681 2326 4682 2294 4682 2295 4682 2325 4683 2326 4683 2295 4683 2327 4684 2293 4684 2294 4684 2326 4685 2327 4685 2294 4685 2328 4686 2292 4686 2293 4686 2327 4687 2328 4687 2293 4687 2329 4688 2291 4688 2292 4688 2328 4689 2329 4689 2292 4689 2323 4690 2290 4690 2291 4690 2329 4691 2323 4691 2291 4691 2330 4692 2323 4692 2329 4692 2324 4693 2323 4693 2330 4693 2331 4694 2329 4694 2328 4694 2330 4695 2329 4695 2331 4695 2332 4696 2328 4696 2327 4696 2331 4697 2328 4697 2332 4697 2333 4698 2327 4698 2326 4698 2332 4699 2327 4699 2333 4699 2334 4700 2326 4700 2325 4700 2333 4701 2326 4701 2334 4701 2335 4702 2325 4702 2313 4702 2334 4703 2325 4703 2335 4703 2335 4704 2313 4704 2315 4704 2330 4705 2336 4705 2337 4705 2209 4706 2337 4706 2336 4706 2324 4707 2337 4707 2338 4707 2211 4708 2338 4708 2337 4708 2324 4709 2330 4709 2337 4709 2209 4710 2211 4710 2337 4710 2330 4711 2339 4711 2336 4711 2210 4712 2336 4712 2339 4712 2210 4713 2209 4713 2336 4713 2331 4714 2340 4714 2339 4714 2210 4715 2339 4715 2340 4715 2330 4716 2331 4716 2339 4716 2331 4717 2341 4717 2340 4717 2226 4718 2340 4718 2341 4718 2226 4719 2210 4719 2340 4719 2332 4720 2342 4720 2341 4720 2226 4721 2341 4721 2342 4721 2331 4722 2332 4722 2341 4722 2333 4723 2343 4723 2342 4723 2225 4724 2342 4724 2343 4724 2332 4725 2333 4725 2342 4725 2225 4726 2226 4726 2342 4726 2344 4727 2345 4727 2343 4727 2225 4728 2343 4728 2345 4728 2346 4729 2344 4729 2343 4729 2333 4730 2346 4730 2343 4730 2344 4731 2347 4731 2345 4731 2224 4732 2345 4732 2347 4732 2224 4733 2225 4733 2345 4733 2223 4734 2347 4734 2344 4734 2223 4735 2224 4735 2347 4735 2223 4736 2344 4736 2346 4736 2334 4737 2348 4737 2346 4737 2222 4738 2346 4738 2348 4738 2333 4739 2334 4739 2346 4739 2222 4740 2223 4740 2346 4740 2335 4741 2349 4741 2348 4741 2222 4742 2348 4742 2349 4742 2334 4743 2335 4743 2348 4743 2335 4744 2350 4744 2349 4744 2221 4745 2349 4745 2350 4745 2221 4746 2222 4746 2349 4746 2315 4747 2351 4747 2350 4747 2221 4748 2350 4748 2351 4748 2335 4749 2315 4749 2350 4749 2315 4750 2352 4750 2351 4750 2220 4751 2351 4751 2352 4751 2220 4752 2221 4752 2351 4752 2314 4753 2353 4753 2352 4753 2220 4754 2352 4754 2353 4754 2315 4755 2314 4755 2352 4755 2316 4756 2354 4756 2353 4756 2219 4757 2353 4757 2354 4757 2316 4758 2353 4758 2314 4758 2220 4759 2353 4759 2219 4759 2316 4760 2355 4760 2354 4760 2218 4761 2354 4761 2355 4761 2218 4762 2219 4762 2354 4762 2317 4763 2356 4763 2355 4763 2218 4764 2355 4764 2356 4764 2316 4765 2317 4765 2355 4765 2317 4766 2357 4766 2356 4766 2217 4767 2356 4767 2357 4767 2217 4768 2218 4768 2356 4768 2318 4769 2358 4769 2357 4769 2217 4770 2357 4770 2358 4770 2317 4771 2318 4771 2357 4771 2319 4772 2359 4772 2358 4772 2216 4773 2358 4773 2359 4773 2318 4774 2319 4774 2358 4774 2216 4775 2217 4775 2358 4775 2360 4776 2361 4776 2359 4776 2216 4777 2359 4777 2361 4777 2362 4778 2360 4778 2359 4778 2319 4779 2362 4779 2359 4779 2360 4780 2363 4780 2361 4780 2215 4781 2361 4781 2363 4781 2215 4782 2216 4782 2361 4782 2214 4783 2363 4783 2360 4783 2214 4784 2215 4784 2363 4784 2214 4785 2360 4785 2362 4785 2320 4786 2364 4786 2362 4786 2213 4787 2362 4787 2364 4787 2319 4788 2320 4788 2362 4788 2213 4789 2214 4789 2362 4789 2321 4790 2365 4790 2364 4790 2213 4791 2364 4791 2365 4791 2320 4792 2321 4792 2364 4792 2321 4793 2366 4793 2365 4793 2212 4794 2365 4794 2366 4794 2212 4795 2213 4795 2365 4795 2322 4796 2367 4796 2366 4796 2212 4797 2366 4797 2367 4797 2321 4798 2322 4798 2366 4798 2322 4799 2338 4799 2367 4799 2211 4800 2367 4800 2338 4800 2211 4801 2212 4801 2367 4801 2322 4802 2324 4802 2338 4802 2171 4803 2300 4803 2299 4803 2174 4804 2301 4804 2300 4804 2174 4805 2300 4805 2171 4805 2190 4806 2299 4806 2302 4806 2172 4807 2299 4807 2190 4807 2171 4808 2299 4808 2172 4808 2256 4809 2368 4809 2302 4809 2189 4810 2302 4810 2368 4810 2190 4811 2302 4811 2189 4811 2256 4812 2369 4812 2368 4812 2187 4813 2368 4813 2369 4813 2188 4814 2368 4814 2187 4814 2189 4815 2368 4815 2188 4815 2261 4816 2370 4816 2369 4816 2185 4817 2369 4817 2370 4817 2259 4818 2261 4818 2369 4818 2256 4819 2259 4819 2369 4819 2187 4820 2369 4820 2185 4820 2265 4821 2371 4821 2370 4821 2181 4822 2370 4822 2371 4822 2261 4823 2265 4823 2370 4823 2183 4824 2185 4824 2370 4824 2183 4825 2370 4825 2181 4825 2265 4826 2301 4826 2371 4826 2179 4827 2371 4827 2301 4827 2181 4828 2371 4828 2179 4828 2176 4829 2301 4829 2174 4829 2179 4830 2301 4830 2176 4830 2192 4831 2297 4831 2298 4831 2195 4832 2303 4832 2297 4832 2195 4833 2297 4833 2192 4833 2208 4834 2298 4834 2296 4834 2193 4835 2298 4835 2208 4835 2192 4836 2298 4836 2193 4836 2270 4837 2372 4837 2296 4837 2207 4838 2296 4838 2372 4838 2208 4839 2296 4839 2207 4839 2270 4840 2373 4840 2372 4840 2205 4841 2372 4841 2373 4841 2206 4842 2372 4842 2205 4842 2207 4843 2372 4843 2206 4843 2276 4844 2374 4844 2373 4844 2204 4845 2373 4845 2374 4845 2273 4846 2276 4846 2373 4846 2270 4847 2273 4847 2373 4847 2205 4848 2373 4848 2204 4848 2278 4849 2375 4849 2374 4849 2201 4850 2374 4850 2375 4850 2278 4851 2374 4851 2276 4851 2203 4852 2204 4852 2374 4852 2203 4853 2374 4853 2201 4853 2279 4854 2303 4854 2375 4854 2199 4855 2375 4855 2303 4855 2278 4856 2279 4856 2375 4856 2201 4857 2375 4857 2199 4857 2197 4858 2303 4858 2195 4858 2199 4859 2303 4859 2197 4859 2376 4860 2377 4860 2378 4860 2379 4861 2378 4861 2377 4861 2380 4862 2376 4862 2378 4862 2379 4863 2380 4863 2378 4863 2381 4864 2377 4864 2376 4864 2382 4865 2379 4865 2377 4865 2381 4866 2382 4866 2377 4866 2381 4867 2376 4867 2380 4867 2383 4868 2380 4868 2379 4868 2381 4869 2380 4869 2383 4869 2382 4870 2383 4870 2379 4870 2381 4871 2383 4871 2382 4871 2384 4872 2385 4872 2386 4872 2387 4873 2386 4873 2385 4873 2388 4874 2386 4874 2389 4874 2390 4875 2389 4875 2386 4875 2384 4876 2386 4876 2388 4876 2390 4877 2386 4877 2387 4877 2384 4878 2391 4878 2385 4878 2392 4879 2385 4879 2391 4879 2392 4880 2387 4880 2385 4880 2393 4881 2394 4881 2391 4881 2392 4882 2391 4882 2394 4882 2384 4883 2393 4883 2391 4883 2395 4884 2396 4884 2394 4884 2397 4885 2394 4885 2396 4885 2393 4886 2395 4886 2394 4886 2397 4887 2392 4887 2394 4887 2395 4888 2398 4888 2396 4888 2399 4889 2396 4889 2398 4889 2399 4890 2397 4890 2396 4890 2400 4891 2401 4891 2398 4891 2399 4892 2398 4892 2401 4892 2395 4893 2400 4893 2398 4893 2402 4894 2403 4894 2401 4894 2404 4895 2401 4895 2403 4895 2400 4896 2402 4896 2401 4896 2404 4897 2399 4897 2401 4897 2402 4898 2405 4898 2403 4898 2406 4899 2403 4899 2405 4899 2406 4900 2404 4900 2403 4900 2407 4901 2408 4901 2405 4901 2409 4902 2405 4902 2408 4902 2402 4903 2407 4903 2405 4903 2409 4904 2406 4904 2405 4904 2410 4905 2411 4905 2408 4905 2412 4906 2408 4906 2411 4906 2407 4907 2410 4907 2408 4907 2412 4908 2409 4908 2408 4908 2410 4909 2389 4909 2411 4909 2413 4910 2411 4910 2389 4910 2413 4911 2412 4911 2411 4911 2410 4912 2388 4912 2389 4912 2390 4913 2413 4913 2389 4913 2414 4914 2388 4914 2410 4914 2415 4915 2384 4915 2388 4915 2415 4916 2388 4916 2414 4916 2416 4917 2410 4917 2407 4917 2416 4918 2414 4918 2410 4918 2417 4919 2407 4919 2402 4919 2416 4920 2407 4920 2417 4920 2418 4921 2402 4921 2400 4921 2417 4922 2402 4922 2418 4922 2419 4923 2400 4923 2395 4923 2418 4924 2400 4924 2419 4924 2420 4925 2395 4925 2393 4925 2419 4926 2395 4926 2420 4926 2421 4927 2393 4927 2384 4927 2420 4928 2393 4928 2421 4928 2421 4929 2384 4929 2415 4929 2422 4930 2423 4930 2424 4930 2425 4931 2424 4931 2423 4931 2426 4932 2424 4932 2427 4932 2428 4933 2427 4933 2424 4933 2426 4934 2422 4934 2424 4934 2429 4935 2424 4935 2425 4935 2430 4936 2424 4936 2429 4936 2431 4937 2424 4937 2430 4937 2431 4938 2428 4938 2424 4938 2432 4939 2433 4939 2423 4939 2434 4940 2423 4940 2433 4940 2435 4941 2423 4941 2422 4941 2435 4942 2432 4942 2423 4942 2425 4943 2423 4943 2434 4943 2432 4944 2427 4944 2433 4944 2436 4945 2433 4945 2427 4945 2434 4946 2433 4946 2436 4946 2437 4947 2426 4947 2427 4947 2432 4948 2437 4948 2427 4948 2438 4949 2427 4949 2439 4949 2440 4950 2439 4950 2427 4950 2436 4951 2427 4951 2438 4951 2428 4952 2440 4952 2427 4952 2435 4953 2441 4953 2442 4953 2443 4954 2442 4954 2441 4954 2444 4955 2442 4955 2445 4955 2446 4956 2445 4956 2442 4956 2444 4957 2435 4957 2442 4957 2447 4958 2442 4958 2443 4958 2448 4959 2442 4959 2447 4959 2446 4960 2442 4960 2448 4960 2449 4961 2450 4961 2441 4961 2451 4962 2441 4962 2450 4962 2435 4963 2422 4963 2441 4963 2449 4964 2441 4964 2422 4964 2443 4965 2441 4965 2451 4965 2449 4966 2445 4966 2450 4966 2452 4967 2450 4967 2445 4967 2451 4968 2450 4968 2452 4968 2453 4969 2444 4969 2445 4969 2449 4970 2453 4970 2445 4970 2454 4971 2445 4971 2455 4971 2446 4972 2455 4972 2445 4972 2452 4973 2445 4973 2454 4973 2456 4974 2422 4974 2426 4974 2457 4975 2449 4975 2422 4975 2457 4976 2422 4976 2456 4976 2458 4977 2426 4977 2437 4977 2456 4978 2426 4978 2458 4978 2459 4979 2437 4979 2432 4979 2458 4980 2437 4980 2459 4980 2460 4981 2432 4981 2435 4981 2459 4982 2432 4982 2460 4982 2461 4983 2435 4983 2444 4983 2460 4984 2435 4984 2461 4984 2462 4985 2444 4985 2453 4985 2462 4986 2461 4986 2444 4986 2463 4987 2453 4987 2449 4987 2462 4988 2453 4988 2463 4988 2463 4989 2449 4989 2457 4989 2458 4990 2415 4990 2414 4990 2456 4991 2458 4991 2414 4991 2416 4992 2456 4992 2414 4992 2459 4993 2421 4993 2415 4993 2458 4994 2459 4994 2415 4994 2460 4995 2420 4995 2421 4995 2459 4996 2460 4996 2421 4996 2461 4997 2419 4997 2420 4997 2460 4998 2461 4998 2420 4998 2462 4999 2419 4999 2461 4999 2462 5000 2418 5000 2419 5000 2457 5001 2456 5001 2416 5001 2463 5002 2417 5002 2418 5002 2462 5003 2463 5003 2418 5003 2457 5004 2416 5004 2417 5004 2463 5005 2457 5005 2417 5005 2464 5006 2454 5006 2455 5006 2413 5007 2464 5007 2455 5007 2446 5008 2413 5008 2455 5008 2464 5009 2452 5009 2454 5009 2434 5010 2451 5010 2452 5010 2425 5011 2434 5011 2452 5011 2464 5012 2425 5012 2452 5012 2436 5013 2443 5013 2451 5013 2434 5014 2436 5014 2451 5014 2465 5015 2447 5015 2443 5015 2466 5016 2465 5016 2443 5016 2436 5017 2466 5017 2443 5017 2465 5018 2448 5018 2447 5018 2409 5019 2448 5019 2465 5019 2412 5020 2448 5020 2409 5020 2446 5021 2448 5021 2412 5021 2466 5022 2467 5022 2465 5022 2406 5023 2465 5023 2467 5023 2409 5024 2465 5024 2406 5024 2404 5025 2467 5025 2466 5025 2406 5026 2467 5026 2404 5026 2438 5027 2439 5027 2466 5027 2399 5028 2466 5028 2439 5028 2436 5029 2438 5029 2466 5029 2404 5030 2466 5030 2399 5030 2440 5031 2399 5031 2439 5031 2468 5032 2429 5032 2425 5032 2464 5033 2468 5033 2425 5033 2468 5034 2430 5034 2429 5034 2397 5035 2430 5035 2468 5035 2431 5036 2430 5036 2397 5036 2469 5037 2470 5037 2468 5037 2392 5038 2468 5038 2470 5038 2464 5039 2469 5039 2468 5039 2397 5040 2468 5040 2392 5040 2469 5041 2471 5041 2470 5041 2392 5042 2470 5042 2471 5042 2387 5043 2471 5043 2469 5043 2392 5044 2471 5044 2387 5044 2390 5045 2469 5045 2464 5045 2390 5046 2387 5046 2469 5046 2390 5047 2464 5047 2413 5047 2440 5048 2397 5048 2399 5048 2428 5049 2397 5049 2440 5049 2431 5050 2397 5050 2428 5050 2446 5051 2412 5051 2413 5051 2472 5052 2473 5052 2474 5052 2475 5053 2474 5053 2473 5053 2476 5054 2472 5054 2474 5054 2477 5055 2476 5055 2474 5055 2478 5056 2477 5056 2474 5056 2475 5057 2478 5057 2474 5057 2472 5058 2479 5058 2473 5058 2480 5059 2473 5059 2479 5059 2480 5060 2475 5060 2473 5060 2481 5061 2479 5061 2472 5061 2481 5062 2480 5062 2479 5062 2482 5063 2472 5063 2476 5063 2482 5064 2481 5064 2472 5064 2477 5065 2483 5065 2476 5065 2484 5066 2476 5066 2483 5066 2482 5067 2476 5067 2484 5067 2477 5068 2485 5068 2483 5068 2486 5069 2483 5069 2485 5069 2486 5070 2484 5070 2483 5070 2487 5071 2485 5071 2477 5071 2487 5072 2486 5072 2485 5072 2478 5073 2487 5073 2477 5073 903 5074 2484 5074 2486 5074 2488 5075 2484 5075 903 5075 2482 5076 2484 5076 2488 5076 2489 5077 2486 5077 2487 5077 2489 5078 903 5078 2486 5078 2490 5079 2487 5079 2478 5079 2490 5080 2489 5080 2487 5080 2491 5081 2478 5081 2475 5081 2491 5082 2490 5082 2478 5082 896 5083 2491 5083 2475 5083 2480 5084 896 5084 2475 5084 2492 5085 903 5085 2489 5085 2493 5086 2488 5086 903 5086 2492 5087 2493 5087 903 5087 2491 5088 2489 5088 2490 5088 2494 5089 2489 5089 2491 5089 2494 5090 2492 5090 2489 5090 2495 5091 2491 5091 896 5091 2495 5092 2494 5092 2491 5092 2496 5093 896 5093 2497 5093 2480 5094 2497 5094 896 5094 2496 5095 2495 5095 896 5095 2497 5096 2498 5096 2488 5096 2482 5097 2488 5097 2498 5097 2499 5098 2497 5098 2488 5098 2499 5099 2488 5099 2493 5099 2481 5100 2498 5100 2497 5100 2482 5101 2498 5101 2481 5101 2499 5102 2496 5102 2497 5102 2481 5103 2497 5103 2480 5103 2500 5104 2493 5104 2492 5104 2501 5105 2499 5105 2493 5105 2500 5106 2501 5106 2493 5106 2502 5107 2492 5107 2494 5107 2500 5108 2492 5108 2502 5108 2503 5109 2494 5109 2495 5109 2502 5110 2494 5110 2503 5110 2504 5111 2495 5111 2496 5111 2503 5112 2495 5112 2504 5112 2505 5113 2496 5113 2499 5113 2504 5114 2496 5114 2505 5114 2505 5115 2499 5115 2501 5115 2504 5116 2505 5116 2501 5116 2500 5117 2504 5117 2501 5117 2500 5118 2503 5118 2504 5118 2500 5119 2502 5119 2503 5119 2506 5120 2507 5120 2508 5120 2509 5121 2508 5121 2507 5121 2510 5122 2506 5122 2508 5122 2511 5123 2510 5123 2508 5123 2512 5124 2511 5124 2508 5124 2509 5125 2512 5125 2508 5125 2506 5126 2513 5126 2507 5126 2514 5127 2507 5127 2513 5127 2514 5128 2509 5128 2507 5128 2515 5129 2513 5129 2506 5129 2515 5130 2514 5130 2513 5130 2516 5131 2506 5131 2510 5131 2516 5132 2515 5132 2506 5132 2511 5133 2517 5133 2510 5133 2518 5134 2510 5134 2517 5134 2516 5135 2510 5135 2518 5135 2511 5136 2519 5136 2517 5136 2520 5137 2517 5137 2519 5137 2520 5138 2518 5138 2517 5138 2521 5139 2519 5139 2511 5139 2521 5140 2520 5140 2519 5140 2512 5141 2521 5141 2511 5141 826 5142 2518 5142 2520 5142 2522 5143 2518 5143 826 5143 2516 5144 2518 5144 2522 5144 2523 5145 2520 5145 2521 5145 2523 5146 826 5146 2520 5146 2524 5147 2521 5147 2512 5147 2524 5148 2523 5148 2521 5148 2525 5149 2512 5149 2509 5149 2525 5150 2524 5150 2512 5150 843 5151 2525 5151 2509 5151 2514 5152 843 5152 2509 5152 2526 5153 826 5153 2523 5153 2527 5154 2522 5154 826 5154 2526 5155 2527 5155 826 5155 2525 5156 2523 5156 2524 5156 2528 5157 2523 5157 2525 5157 2528 5158 2526 5158 2523 5158 2529 5159 2525 5159 843 5159 2529 5160 2528 5160 2525 5160 2530 5161 843 5161 2531 5161 2514 5162 2531 5162 843 5162 2530 5163 2529 5163 843 5163 2531 5164 2532 5164 2522 5164 2516 5165 2522 5165 2532 5165 2533 5166 2531 5166 2522 5166 2533 5167 2522 5167 2527 5167 2515 5168 2532 5168 2531 5168 2516 5169 2532 5169 2515 5169 2533 5170 2530 5170 2531 5170 2515 5171 2531 5171 2514 5171 2534 5172 2527 5172 2526 5172 2535 5173 2533 5173 2527 5173 2534 5174 2535 5174 2527 5174 2536 5175 2526 5175 2528 5175 2534 5176 2526 5176 2536 5176 2537 5177 2528 5177 2529 5177 2536 5178 2528 5178 2537 5178 2538 5179 2529 5179 2530 5179 2537 5180 2529 5180 2538 5180 2539 5181 2530 5181 2533 5181 2538 5182 2530 5182 2539 5182 2539 5183 2533 5183 2535 5183 2538 5184 2539 5184 2535 5184 2534 5185 2538 5185 2535 5185 2534 5186 2537 5186 2538 5186 2534 5187 2536 5187 2537 5187 2540 5188 2541 5188 2542 5188 2543 5189 2542 5189 2541 5189 2544 5190 2542 5190 2545 5190 2546 5191 2545 5191 2542 5191 2544 5192 2547 5192 2542 5192 2540 5193 2542 5193 2547 5193 2543 5194 2546 5194 2542 5194 2548 5195 2549 5195 2541 5195 2550 5196 2541 5196 2549 5196 2551 5197 2548 5197 2541 5197 2540 5198 2551 5198 2541 5198 2550 5199 2543 5199 2541 5199 2548 5200 2552 5200 2549 5200 2553 5201 2549 5201 2552 5201 2553 5202 2550 5202 2549 5202 2554 5203 2552 5203 2548 5203 2554 5204 2553 5204 2552 5204 2555 5205 2548 5205 2551 5205 2555 5206 2554 5206 2548 5206 2556 5207 2557 5207 2551 5207 2558 5208 2551 5208 2557 5208 2540 5209 2556 5209 2551 5209 2558 5210 2555 5210 2551 5210 2559 5211 2560 5211 2557 5211 2561 5212 2557 5212 2560 5212 2562 5213 2559 5213 2557 5213 2556 5214 2562 5214 2557 5214 2558 5215 2557 5215 2561 5215 2563 5216 2564 5216 2560 5216 2565 5217 2560 5217 2564 5217 2545 5218 2563 5218 2560 5218 2559 5219 2545 5219 2560 5219 2565 5220 2561 5220 2560 5220 2563 5221 2566 5221 2564 5221 2567 5222 2564 5222 2566 5222 2567 5223 2565 5223 2564 5223 2568 5224 2566 5224 2563 5224 2568 5225 2567 5225 2566 5225 2569 5226 2563 5226 2545 5226 2569 5227 2568 5227 2563 5227 2559 5228 2544 5228 2545 5228 2546 5229 2569 5229 2545 5229 2570 5230 2547 5230 2544 5230 2571 5231 2540 5231 2547 5231 2570 5232 2571 5232 2547 5232 2572 5233 2544 5233 2559 5233 2570 5234 2544 5234 2572 5234 2573 5235 2559 5235 2562 5235 2572 5236 2559 5236 2573 5236 2574 5237 2562 5237 2556 5237 2573 5238 2562 5238 2574 5238 2575 5239 2556 5239 2540 5239 2574 5240 2556 5240 2575 5240 2575 5241 2540 5241 2571 5241 2576 5242 2561 5242 2565 5242 2577 5243 2561 5243 2576 5243 2577 5244 2558 5244 2561 5244 2576 5245 2565 5245 2567 5245 2578 5246 2567 5246 2568 5246 2578 5247 2576 5247 2567 5247 2578 5248 2568 5248 2569 5248 2579 5249 2569 5249 2546 5249 2579 5250 2578 5250 2569 5250 2579 5251 2546 5251 2543 5251 2580 5252 2579 5252 2543 5252 2550 5253 2580 5253 2543 5253 2581 5254 2576 5254 2578 5254 2582 5255 2576 5255 2581 5255 2577 5256 2576 5256 2582 5256 2583 5257 2578 5257 2579 5257 2583 5258 2581 5258 2578 5258 2584 5259 2579 5259 2580 5259 2584 5260 2583 5260 2579 5260 2585 5261 2584 5261 2580 5261 2586 5262 2585 5262 2580 5262 2553 5263 2580 5263 2550 5263 2586 5264 2580 5264 2553 5264 2587 5265 2581 5265 2583 5265 2587 5266 2588 5266 2581 5266 2582 5267 2581 5267 2588 5267 2589 5268 2583 5268 2584 5268 2590 5269 2587 5269 2583 5269 2589 5270 2590 5270 2583 5270 2591 5271 2584 5271 2585 5271 2591 5272 2589 5272 2584 5272 2591 5273 2585 5273 2592 5273 2593 5274 2592 5274 2585 5274 2586 5275 2593 5275 2585 5275 2593 5276 2594 5276 2592 5276 2595 5277 2592 5277 2594 5277 2596 5278 2591 5278 2592 5278 2595 5279 2596 5279 2592 5279 2593 5280 2597 5280 2594 5280 2598 5281 2594 5281 2597 5281 2598 5282 2595 5282 2594 5282 2582 5283 2588 5283 2597 5283 2599 5284 2597 5284 2588 5284 2593 5285 2582 5285 2597 5285 2598 5286 2597 5286 2599 5286 2600 5287 2588 5287 2587 5287 2599 5288 2588 5288 2600 5288 2601 5289 2587 5289 2590 5289 2600 5290 2587 5290 2601 5290 2602 5291 2590 5291 2589 5291 2602 5292 2601 5292 2590 5292 2603 5293 2589 5293 2591 5293 2603 5294 2602 5294 2589 5294 2596 5295 2603 5295 2591 5295 2577 5296 2582 5296 2593 5296 2577 5297 2593 5297 2586 5297 2595 5298 2601 5298 2602 5298 2598 5299 2601 5299 2595 5299 2598 5300 2600 5300 2601 5300 2596 5301 2602 5301 2603 5301 2595 5302 2602 5302 2596 5302 2598 5303 2599 5303 2600 5303 2586 5304 2553 5304 2554 5304 2586 5305 2554 5305 2555 5305 2577 5306 2555 5306 2558 5306 2577 5307 2586 5307 2555 5307 2574 5308 2575 5308 2571 5308 2570 5309 2574 5309 2571 5309 2570 5310 2573 5310 2574 5310 2570 5311 2572 5311 2573 5311 2604 5312 2605 5312 2606 5312 2607 5313 2606 5313 2605 5313 2608 5314 2606 5314 2609 5314 2610 5315 2609 5315 2606 5315 2608 5316 2611 5316 2606 5316 2604 5317 2606 5317 2611 5317 2607 5318 2610 5318 2606 5318 2612 5319 2613 5319 2605 5319 2614 5320 2605 5320 2613 5320 2615 5321 2612 5321 2605 5321 2604 5322 2615 5322 2605 5322 2614 5323 2607 5323 2605 5323 2612 5324 2616 5324 2613 5324 2617 5325 2613 5325 2616 5325 2617 5326 2614 5326 2613 5326 2618 5327 2616 5327 2612 5327 2618 5328 2617 5328 2616 5328 2619 5329 2612 5329 2615 5329 2619 5330 2618 5330 2612 5330 2620 5331 2621 5331 2615 5331 2622 5332 2615 5332 2621 5332 2604 5333 2620 5333 2615 5333 2622 5334 2619 5334 2615 5334 2623 5335 2624 5335 2621 5335 2625 5336 2621 5336 2624 5336 2626 5337 2623 5337 2621 5337 2620 5338 2626 5338 2621 5338 2622 5339 2621 5339 2625 5339 2627 5340 2628 5340 2624 5340 2629 5341 2624 5341 2628 5341 2609 5342 2627 5342 2624 5342 2623 5343 2609 5343 2624 5343 2629 5344 2625 5344 2624 5344 2627 5345 2630 5345 2628 5345 2631 5346 2628 5346 2630 5346 2631 5347 2629 5347 2628 5347 2632 5348 2630 5348 2627 5348 2632 5349 2631 5349 2630 5349 2633 5350 2627 5350 2609 5350 2633 5351 2632 5351 2627 5351 2623 5352 2608 5352 2609 5352 2610 5353 2633 5353 2609 5353 2634 5354 2611 5354 2608 5354 2635 5355 2604 5355 2611 5355 2634 5356 2635 5356 2611 5356 2636 5357 2608 5357 2623 5357 2634 5358 2608 5358 2636 5358 2637 5359 2623 5359 2626 5359 2636 5360 2623 5360 2637 5360 2638 5361 2626 5361 2620 5361 2637 5362 2626 5362 2638 5362 2639 5363 2620 5363 2604 5363 2638 5364 2620 5364 2639 5364 2639 5365 2604 5365 2635 5365 2640 5366 2625 5366 2629 5366 2641 5367 2625 5367 2640 5367 2641 5368 2622 5368 2625 5368 2640 5369 2629 5369 2631 5369 2642 5370 2631 5370 2632 5370 2642 5371 2640 5371 2631 5371 2642 5372 2632 5372 2633 5372 2643 5373 2633 5373 2610 5373 2643 5374 2642 5374 2633 5374 2643 5375 2610 5375 2607 5375 2644 5376 2643 5376 2607 5376 2614 5377 2644 5377 2607 5377 2645 5378 2640 5378 2642 5378 2646 5379 2640 5379 2645 5379 2641 5380 2640 5380 2646 5380 2647 5381 2642 5381 2643 5381 2647 5382 2645 5382 2642 5382 2648 5383 2643 5383 2644 5383 2648 5384 2647 5384 2643 5384 2649 5385 2648 5385 2644 5385 2650 5386 2649 5386 2644 5386 2617 5387 2644 5387 2614 5387 2650 5388 2644 5388 2617 5388 2651 5389 2645 5389 2647 5389 2651 5390 2652 5390 2645 5390 2646 5391 2645 5391 2652 5391 2653 5392 2647 5392 2648 5392 2654 5393 2651 5393 2647 5393 2653 5394 2654 5394 2647 5394 2655 5395 2648 5395 2649 5395 2655 5396 2653 5396 2648 5396 2655 5397 2649 5397 2656 5397 2657 5398 2656 5398 2649 5398 2650 5399 2657 5399 2649 5399 2657 5400 2658 5400 2656 5400 2659 5401 2656 5401 2658 5401 2660 5402 2655 5402 2656 5402 2659 5403 2660 5403 2656 5403 2657 5404 2661 5404 2658 5404 2662 5405 2658 5405 2661 5405 2662 5406 2659 5406 2658 5406 2646 5407 2652 5407 2661 5407 2663 5408 2661 5408 2652 5408 2657 5409 2646 5409 2661 5409 2662 5410 2661 5410 2663 5410 2664 5411 2652 5411 2651 5411 2663 5412 2652 5412 2664 5412 2665 5413 2651 5413 2654 5413 2664 5414 2651 5414 2665 5414 2666 5415 2654 5415 2653 5415 2666 5416 2665 5416 2654 5416 2667 5417 2653 5417 2655 5417 2667 5418 2666 5418 2653 5418 2660 5419 2667 5419 2655 5419 2641 5420 2646 5420 2657 5420 2641 5421 2657 5421 2650 5421 2659 5422 2665 5422 2666 5422 2662 5423 2665 5423 2659 5423 2662 5424 2664 5424 2665 5424 2660 5425 2666 5425 2667 5425 2659 5426 2666 5426 2660 5426 2662 5427 2663 5427 2664 5427 2650 5428 2617 5428 2618 5428 2650 5429 2618 5429 2619 5429 2641 5430 2619 5430 2622 5430 2641 5431 2650 5431 2619 5431 2638 5432 2639 5432 2635 5432 2634 5433 2638 5433 2635 5433 2634 5434 2637 5434 2638 5434 2634 5435 2636 5435 2637 5435 2668 5436 2669 5436 2670 5436 2671 5437 2670 5437 2669 5437 2672 5438 2670 5438 2673 5438 2674 5439 2673 5439 2670 5439 2672 5440 2675 5440 2670 5440 2668 5441 2670 5441 2675 5441 2671 5442 2674 5442 2670 5442 2676 5443 2677 5443 2669 5443 2678 5444 2669 5444 2677 5444 2679 5445 2676 5445 2669 5445 2668 5446 2679 5446 2669 5446 2678 5447 2671 5447 2669 5447 2676 5448 2680 5448 2677 5448 2681 5449 2677 5449 2680 5449 2681 5450 2678 5450 2677 5450 2682 5451 2680 5451 2676 5451 2682 5452 2681 5452 2680 5452 2683 5453 2676 5453 2679 5453 2683 5454 2682 5454 2676 5454 2684 5455 2685 5455 2679 5455 2686 5456 2679 5456 2685 5456 2668 5457 2684 5457 2679 5457 2686 5458 2683 5458 2679 5458 2687 5459 2688 5459 2685 5459 2689 5460 2685 5460 2688 5460 2690 5461 2687 5461 2685 5461 2684 5462 2690 5462 2685 5462 2686 5463 2685 5463 2689 5463 2691 5464 2692 5464 2688 5464 2693 5465 2688 5465 2692 5465 2673 5466 2691 5466 2688 5466 2687 5467 2673 5467 2688 5467 2693 5468 2689 5468 2688 5468 2691 5469 2694 5469 2692 5469 2695 5470 2692 5470 2694 5470 2695 5471 2693 5471 2692 5471 2696 5472 2694 5472 2691 5472 2696 5473 2695 5473 2694 5473 2697 5474 2691 5474 2673 5474 2697 5475 2696 5475 2691 5475 2687 5476 2672 5476 2673 5476 2674 5477 2697 5477 2673 5477 2698 5478 2675 5478 2672 5478 2699 5479 2668 5479 2675 5479 2698 5480 2699 5480 2675 5480 2700 5481 2672 5481 2687 5481 2698 5482 2672 5482 2700 5482 2701 5483 2687 5483 2690 5483 2700 5484 2687 5484 2701 5484 2702 5485 2690 5485 2684 5485 2701 5486 2690 5486 2702 5486 2703 5487 2684 5487 2668 5487 2702 5488 2684 5488 2703 5488 2703 5489 2668 5489 2699 5489 2704 5490 2689 5490 2693 5490 2705 5491 2689 5491 2704 5491 2705 5492 2686 5492 2689 5492 2704 5493 2693 5493 2695 5493 2706 5494 2695 5494 2696 5494 2706 5495 2704 5495 2695 5495 2706 5496 2696 5496 2697 5496 2707 5497 2697 5497 2674 5497 2707 5498 2706 5498 2697 5498 2707 5499 2674 5499 2671 5499 2708 5500 2707 5500 2671 5500 2678 5501 2708 5501 2671 5501 2709 5502 2704 5502 2706 5502 2710 5503 2704 5503 2709 5503 2705 5504 2704 5504 2710 5504 2711 5505 2706 5505 2707 5505 2711 5506 2709 5506 2706 5506 2712 5507 2707 5507 2708 5507 2712 5508 2711 5508 2707 5508 2713 5509 2712 5509 2708 5509 2714 5510 2713 5510 2708 5510 2681 5511 2708 5511 2678 5511 2714 5512 2708 5512 2681 5512 2715 5513 2709 5513 2711 5513 2715 5514 2716 5514 2709 5514 2710 5515 2709 5515 2716 5515 2717 5516 2711 5516 2712 5516 2718 5517 2715 5517 2711 5517 2717 5518 2718 5518 2711 5518 2719 5519 2712 5519 2713 5519 2719 5520 2717 5520 2712 5520 2719 5521 2713 5521 2720 5521 2721 5522 2720 5522 2713 5522 2714 5523 2721 5523 2713 5523 2721 5524 2722 5524 2720 5524 2723 5525 2720 5525 2722 5525 2724 5526 2719 5526 2720 5526 2723 5527 2724 5527 2720 5527 2721 5528 2725 5528 2722 5528 2726 5529 2722 5529 2725 5529 2726 5530 2723 5530 2722 5530 2710 5531 2716 5531 2725 5531 2727 5532 2725 5532 2716 5532 2721 5533 2710 5533 2725 5533 2726 5534 2725 5534 2727 5534 2728 5535 2716 5535 2715 5535 2727 5536 2716 5536 2728 5536 2729 5537 2715 5537 2718 5537 2728 5538 2715 5538 2729 5538 2730 5539 2718 5539 2717 5539 2730 5540 2729 5540 2718 5540 2731 5541 2717 5541 2719 5541 2731 5542 2730 5542 2717 5542 2724 5543 2731 5543 2719 5543 2705 5544 2710 5544 2721 5544 2705 5545 2721 5545 2714 5545 2723 5546 2729 5546 2730 5546 2726 5547 2729 5547 2723 5547 2726 5548 2728 5548 2729 5548 2724 5549 2730 5549 2731 5549 2723 5550 2730 5550 2724 5550 2726 5551 2727 5551 2728 5551 2714 5552 2681 5552 2682 5552 2714 5553 2682 5553 2683 5553 2705 5554 2683 5554 2686 5554 2705 5555 2714 5555 2683 5555 2702 5556 2703 5556 2699 5556 2698 5557 2702 5557 2699 5557 2698 5558 2701 5558 2702 5558 2698 5559 2700 5559 2701 5559 2732 5560 2733 5560 2734 5560 2735 5561 2734 5561 2733 5561 2736 5562 2734 5562 2737 5562 2738 5563 2737 5563 2734 5563 2736 5564 2739 5564 2734 5564 2732 5565 2734 5565 2739 5565 2735 5566 2738 5566 2734 5566 2740 5567 2741 5567 2733 5567 2742 5568 2733 5568 2741 5568 2743 5569 2740 5569 2733 5569 2732 5570 2743 5570 2733 5570 2742 5571 2735 5571 2733 5571 2740 5572 2744 5572 2741 5572 2745 5573 2741 5573 2744 5573 2745 5574 2742 5574 2741 5574 2746 5575 2744 5575 2740 5575 2746 5576 2745 5576 2744 5576 2747 5577 2740 5577 2743 5577 2747 5578 2746 5578 2740 5578 2748 5579 2749 5579 2743 5579 2750 5580 2743 5580 2749 5580 2732 5581 2748 5581 2743 5581 2750 5582 2747 5582 2743 5582 2751 5583 2752 5583 2749 5583 2753 5584 2749 5584 2752 5584 2754 5585 2751 5585 2749 5585 2748 5586 2754 5586 2749 5586 2750 5587 2749 5587 2753 5587 2755 5588 2756 5588 2752 5588 2757 5589 2752 5589 2756 5589 2737 5590 2755 5590 2752 5590 2751 5591 2737 5591 2752 5591 2757 5592 2753 5592 2752 5592 2755 5593 2758 5593 2756 5593 2759 5594 2756 5594 2758 5594 2759 5595 2757 5595 2756 5595 2760 5596 2758 5596 2755 5596 2760 5597 2759 5597 2758 5597 2761 5598 2755 5598 2737 5598 2761 5599 2760 5599 2755 5599 2751 5600 2736 5600 2737 5600 2738 5601 2761 5601 2737 5601 2762 5602 2739 5602 2736 5602 2763 5603 2732 5603 2739 5603 2762 5604 2763 5604 2739 5604 2764 5605 2736 5605 2751 5605 2762 5606 2736 5606 2764 5606 2765 5607 2751 5607 2754 5607 2764 5608 2751 5608 2765 5608 2766 5609 2754 5609 2748 5609 2765 5610 2754 5610 2766 5610 2767 5611 2748 5611 2732 5611 2766 5612 2748 5612 2767 5612 2767 5613 2732 5613 2763 5613 2768 5614 2753 5614 2757 5614 2769 5615 2753 5615 2768 5615 2769 5616 2750 5616 2753 5616 2768 5617 2757 5617 2759 5617 2770 5618 2759 5618 2760 5618 2770 5619 2768 5619 2759 5619 2770 5620 2760 5620 2761 5620 2771 5621 2761 5621 2738 5621 2771 5622 2770 5622 2761 5622 2771 5623 2738 5623 2735 5623 2772 5624 2771 5624 2735 5624 2742 5625 2772 5625 2735 5625 2773 5626 2768 5626 2770 5626 2774 5627 2768 5627 2773 5627 2769 5628 2768 5628 2774 5628 2775 5629 2770 5629 2771 5629 2775 5630 2773 5630 2770 5630 2776 5631 2771 5631 2772 5631 2776 5632 2775 5632 2771 5632 2777 5633 2776 5633 2772 5633 2778 5634 2777 5634 2772 5634 2745 5635 2772 5635 2742 5635 2778 5636 2772 5636 2745 5636 2779 5637 2773 5637 2775 5637 2779 5638 2780 5638 2773 5638 2774 5639 2773 5639 2780 5639 2781 5640 2775 5640 2776 5640 2782 5641 2779 5641 2775 5641 2781 5642 2782 5642 2775 5642 2783 5643 2776 5643 2777 5643 2783 5644 2781 5644 2776 5644 2783 5645 2777 5645 2784 5645 2785 5646 2784 5646 2777 5646 2778 5647 2785 5647 2777 5647 2785 5648 2786 5648 2784 5648 2787 5649 2784 5649 2786 5649 2788 5650 2783 5650 2784 5650 2787 5651 2788 5651 2784 5651 2785 5652 2789 5652 2786 5652 2790 5653 2786 5653 2789 5653 2790 5654 2787 5654 2786 5654 2774 5655 2780 5655 2789 5655 2791 5656 2789 5656 2780 5656 2785 5657 2774 5657 2789 5657 2790 5658 2789 5658 2791 5658 2792 5659 2780 5659 2779 5659 2791 5660 2780 5660 2792 5660 2793 5661 2779 5661 2782 5661 2792 5662 2779 5662 2793 5662 2794 5663 2782 5663 2781 5663 2794 5664 2793 5664 2782 5664 2795 5665 2781 5665 2783 5665 2795 5666 2794 5666 2781 5666 2788 5667 2795 5667 2783 5667 2769 5668 2774 5668 2785 5668 2769 5669 2785 5669 2778 5669 2787 5670 2793 5670 2794 5670 2790 5671 2793 5671 2787 5671 2790 5672 2792 5672 2793 5672 2788 5673 2794 5673 2795 5673 2787 5674 2794 5674 2788 5674 2790 5675 2791 5675 2792 5675 2778 5676 2745 5676 2746 5676 2778 5677 2746 5677 2747 5677 2769 5678 2747 5678 2750 5678 2769 5679 2778 5679 2747 5679 2766 5680 2767 5680 2763 5680 2762 5681 2766 5681 2763 5681 2762 5682 2765 5682 2766 5682 2762 5683 2764 5683 2765 5683 2796 5684 2797 5684 2798 5684 2799 5685 2798 5685 2797 5685 2800 5686 2796 5686 2798 5686 2801 5687 2800 5687 2798 5687 2801 5688 2798 5688 2799 5688 2802 5689 2797 5689 2796 5689 2802 5690 2799 5690 2797 5690 2803 5691 2796 5691 2800 5691 2803 5692 2802 5692 2796 5692 2803 5693 2800 5693 2801 5693 2802 5694 2801 5694 2799 5694 2803 5695 2801 5695 2802 5695 2804 5696 2805 5696 2806 5696 2807 5697 2806 5697 2805 5697 2808 5698 2804 5698 2806 5698 2809 5699 2808 5699 2806 5699 2809 5700 2806 5700 2807 5700 2810 5701 2805 5701 2804 5701 2810 5702 2807 5702 2805 5702 2811 5703 2804 5703 2808 5703 2811 5704 2810 5704 2804 5704 2811 5705 2808 5705 2809 5705 2810 5706 2809 5706 2807 5706 2811 5707 2809 5707 2810 5707 2812 5708 2813 5708 2814 5708 2815 5709 2814 5709 2813 5709 2816 5710 2812 5710 2814 5710 2815 5711 2817 5711 2814 5711 2816 5712 2814 5712 2817 5712 2812 5713 2818 5713 2813 5713 2815 5714 2813 5714 2818 5714 2816 5715 2818 5715 2812 5715 2819 5716 2815 5716 2818 5716 2819 5717 2818 5717 2816 5717 2819 5718 2817 5718 2815 5718 2819 5719 2816 5719 2817 5719 2820 5720 2821 5720 2822 5720 2823 5721 2822 5721 2821 5721 2824 5722 2820 5722 2822 5722 2823 5723 2824 5723 2822 5723 2825 5724 2821 5724 2820 5724 2826 5725 2823 5725 2821 5725 2825 5726 2826 5726 2821 5726 2825 5727 2820 5727 2824 5727 2827 5728 2824 5728 2823 5728 2825 5729 2824 5729 2827 5729 2826 5730 2827 5730 2823 5730 2825 5731 2827 5731 2826 5731 2828 5732 2829 5732 2830 5732 2831 5733 2830 5733 2829 5733 2832 5734 2828 5734 2830 5734 2833 5735 2832 5735 2830 5735 2833 5736 2830 5736 2831 5736 2834 5737 2829 5737 2828 5737 2834 5738 2831 5738 2829 5738 2835 5739 2828 5739 2832 5739 2835 5740 2834 5740 2828 5740 2835 5741 2832 5741 2833 5741 2834 5742 2833 5742 2831 5742 2835 5743 2833 5743 2834 5743 2836 5744 2837 5744 2838 5744 2839 5745 2838 5745 2837 5745 2840 5746 2838 5746 2841 5746 2842 5747 2841 5747 2838 5747 2843 5748 2838 5748 2840 5748 2844 5749 2845 5749 2838 5749 2846 5750 2838 5750 2845 5750 2843 5751 2844 5751 2838 5751 2847 5752 2836 5752 2838 5752 2846 5753 2847 5753 2838 5753 2842 5754 2838 5754 2839 5754 2848 5755 2849 5755 2837 5755 2850 5756 2837 5756 2849 5756 2851 5757 2837 5757 2836 5757 2852 5758 2853 5758 2837 5758 2854 5759 2837 5759 2853 5759 2851 5760 2852 5760 2837 5760 2855 5761 2856 5761 2837 5761 2848 5762 2837 5762 2856 5762 2854 5763 2855 5763 2837 5763 2850 5764 2839 5764 2837 5764 2857 5765 2858 5765 2849 5765 2859 5766 2849 5766 2858 5766 2860 5767 2861 5767 2849 5767 2862 5768 2849 5768 2861 5768 2848 5769 2860 5769 2849 5769 2863 5770 2864 5770 2849 5770 2865 5771 2849 5771 2864 5771 2862 5772 2863 5772 2849 5772 2865 5773 2857 5773 2849 5773 2859 5774 2850 5774 2849 5774 2866 5775 2867 5775 2858 5775 2868 5776 2858 5776 2867 5776 2857 5777 2869 5777 2858 5777 2870 5778 2858 5778 2869 5778 2871 5779 2872 5779 2858 5779 2873 5780 2858 5780 2872 5780 2870 5781 2871 5781 2858 5781 2874 5782 2866 5782 2858 5782 2873 5783 2874 5783 2858 5783 2868 5784 2859 5784 2858 5784 2875 5785 2876 5785 2867 5785 2877 5786 2867 5786 2876 5786 2878 5787 2867 5787 2866 5787 2879 5788 2880 5788 2867 5788 2881 5789 2867 5789 2880 5789 2878 5790 2879 5790 2867 5790 2882 5791 2875 5791 2867 5791 2881 5792 2882 5792 2867 5792 2877 5793 2868 5793 2867 5793 2883 5794 2884 5794 2876 5794 2885 5795 2876 5795 2884 5795 2886 5796 2876 5796 2875 5796 2887 5797 2888 5797 2876 5797 2889 5798 2876 5798 2888 5798 2886 5799 2887 5799 2876 5799 2890 5800 2891 5800 2876 5800 2883 5801 2876 5801 2891 5801 2889 5802 2890 5802 2876 5802 2885 5803 2877 5803 2876 5803 2892 5804 2893 5804 2884 5804 2894 5805 2884 5805 2893 5805 2895 5806 2896 5806 2884 5806 2897 5807 2884 5807 2896 5807 2883 5808 2895 5808 2884 5808 2898 5809 2899 5809 2884 5809 2900 5810 2884 5810 2899 5810 2897 5811 2898 5811 2884 5811 2900 5812 2892 5812 2884 5812 2894 5813 2885 5813 2884 5813 2901 5814 2902 5814 2893 5814 2903 5815 2893 5815 2902 5815 2892 5816 2904 5816 2893 5816 2905 5817 2893 5817 2904 5817 2906 5818 2907 5818 2893 5818 2908 5819 2893 5819 2907 5819 2905 5820 2906 5820 2893 5820 2909 5821 2901 5821 2893 5821 2908 5822 2909 5822 2893 5822 2903 5823 2894 5823 2893 5823 2910 5824 2911 5824 2902 5824 2912 5825 2902 5825 2911 5825 2913 5826 2902 5826 2901 5826 2914 5827 2915 5827 2902 5827 2916 5828 2902 5828 2915 5828 2913 5829 2914 5829 2902 5829 2917 5830 2910 5830 2902 5830 2916 5831 2917 5831 2902 5831 2912 5832 2903 5832 2902 5832 2918 5833 2919 5833 2911 5833 2920 5834 2911 5834 2919 5834 2921 5835 2911 5835 2910 5835 2922 5836 2923 5836 2911 5836 2924 5837 2911 5837 2923 5837 2921 5838 2922 5838 2911 5838 2925 5839 2911 5839 2924 5839 2926 5840 2927 5840 2911 5840 2918 5841 2911 5841 2927 5841 2925 5842 2926 5842 2911 5842 2920 5843 2912 5843 2911 5843 2928 5844 2929 5844 2919 5844 2930 5845 2919 5845 2929 5845 2931 5846 2932 5846 2919 5846 2933 5847 2919 5847 2932 5847 2918 5848 2931 5848 2919 5848 2934 5849 2935 5849 2919 5849 2936 5850 2919 5850 2935 5850 2933 5851 2934 5851 2919 5851 2936 5852 2928 5852 2919 5852 2930 5853 2920 5853 2919 5853 2937 5854 2938 5854 2929 5854 2939 5855 2929 5855 2938 5855 2928 5856 2940 5856 2929 5856 2941 5857 2929 5857 2940 5857 2942 5858 2943 5858 2929 5858 2944 5859 2929 5859 2943 5859 2941 5860 2942 5860 2929 5860 2945 5861 2937 5861 2929 5861 2944 5862 2945 5862 2929 5862 2939 5863 2930 5863 2929 5863 2946 5864 2947 5864 2938 5864 2948 5865 2938 5865 2947 5865 2949 5866 2938 5866 2937 5866 2950 5867 2951 5867 2938 5867 2952 5868 2938 5868 2951 5868 2949 5869 2950 5869 2938 5869 2953 5870 2946 5870 2938 5870 2952 5871 2953 5871 2938 5871 2939 5872 2938 5872 2948 5872 2954 5873 2955 5873 2947 5873 2956 5874 2947 5874 2955 5874 2957 5875 2947 5875 2946 5875 2958 5876 2959 5876 2947 5876 2960 5877 2947 5877 2959 5877 2957 5878 2958 5878 2947 5878 2961 5879 2962 5879 2947 5879 2954 5880 2947 5880 2962 5880 2960 5881 2961 5881 2947 5881 2948 5882 2947 5882 2956 5882 2963 5883 2964 5883 2955 5883 2965 5884 2955 5884 2964 5884 2966 5885 2967 5885 2955 5885 2968 5886 2955 5886 2967 5886 2954 5887 2966 5887 2955 5887 2969 5888 2970 5888 2955 5888 2971 5889 2955 5889 2970 5889 2968 5890 2969 5890 2955 5890 2971 5891 2963 5891 2955 5891 2956 5892 2955 5892 2965 5892 2972 5893 2973 5893 2964 5893 2974 5894 2964 5894 2973 5894 2975 5895 2976 5895 2964 5895 2977 5896 2964 5896 2976 5896 2978 5897 2975 5897 2964 5897 2979 5898 2978 5898 2964 5898 2980 5899 2972 5899 2964 5899 2977 5900 2980 5900 2964 5900 2963 5901 2979 5901 2964 5901 2965 5902 2964 5902 2974 5902 2981 5903 2982 5903 2973 5903 2983 5904 2973 5904 2982 5904 2984 5905 2973 5905 2972 5905 2985 5906 2986 5906 2973 5906 2987 5907 2973 5907 2986 5907 2984 5908 2985 5908 2973 5908 2988 5909 2981 5909 2973 5909 2987 5910 2988 5910 2973 5910 2974 5911 2973 5911 2983 5911 2989 5912 2990 5912 2982 5912 2991 5913 2982 5913 2990 5913 2992 5914 2982 5914 2981 5914 2993 5915 2994 5915 2982 5915 2995 5916 2982 5916 2994 5916 2992 5917 2993 5917 2982 5917 2996 5918 2982 5918 2995 5918 2997 5919 2998 5919 2982 5919 2989 5920 2982 5920 2998 5920 2996 5921 2997 5921 2982 5921 2983 5922 2982 5922 2991 5922 2999 5923 2841 5923 2990 5923 3000 5924 2990 5924 2841 5924 3001 5925 3002 5925 2990 5925 3003 5926 2990 5926 3002 5926 2989 5927 3001 5927 2990 5927 3004 5928 3005 5928 2990 5928 3006 5929 2990 5929 3005 5929 3003 5930 3004 5930 2990 5930 3006 5931 2999 5931 2990 5931 2991 5932 2990 5932 3000 5932 2999 5933 3007 5933 2841 5933 3008 5934 2841 5934 3007 5934 3009 5935 3010 5935 2841 5935 3011 5936 2841 5936 3010 5936 3008 5937 3009 5937 2841 5937 3012 5938 2840 5938 2841 5938 3011 5939 3012 5939 2841 5939 3000 5940 2841 5940 2842 5940 3013 5941 3014 5941 3015 5941 3016 5942 3015 5942 3014 5942 3017 5943 3015 5943 3018 5943 3019 5944 3018 5944 3015 5944 3020 5945 3013 5945 3015 5945 3021 5946 3020 5946 3015 5946 3022 5947 3021 5947 3015 5947 3023 5948 3022 5948 3015 5948 3024 5949 3023 5949 3015 5949 3025 5950 3024 5950 3015 5950 3026 5951 3025 5951 3015 5951 3027 5952 3026 5952 3015 5952 3028 5953 3027 5953 3015 5953 3017 5954 3028 5954 3015 5954 3019 5955 3015 5955 3016 5955 3029 5956 3030 5956 3014 5956 3031 5957 3014 5957 3030 5957 3032 5958 3029 5958 3014 5958 3033 5959 3032 5959 3014 5959 3034 5960 3033 5960 3014 5960 3035 5961 3034 5961 3014 5961 3036 5962 3035 5962 3014 5962 3013 5963 3036 5963 3014 5963 3031 5964 3016 5964 3014 5964 3037 5965 3038 5965 3030 5965 3039 5966 3030 5966 3038 5966 3029 5967 3040 5967 3030 5967 3041 5968 3030 5968 3040 5968 3042 5969 3037 5969 3030 5969 3043 5970 3042 5970 3030 5970 3044 5971 3043 5971 3030 5971 3045 5972 3044 5972 3030 5972 3041 5973 3045 5973 3030 5973 3039 5974 3031 5974 3030 5974 3046 5975 3047 5975 3038 5975 3048 5976 3038 5976 3047 5976 3049 5977 3046 5977 3038 5977 3050 5978 3049 5978 3038 5978 3051 5979 3050 5979 3038 5979 3052 5980 3051 5980 3038 5980 3053 5981 3052 5981 3038 5981 3054 5982 3053 5982 3038 5982 3055 5983 3054 5983 3038 5983 3056 5984 3055 5984 3038 5984 3057 5985 3056 5985 3038 5985 3037 5986 3057 5986 3038 5986 3048 5987 3039 5987 3038 5987 3058 5988 3059 5988 3047 5988 3060 5989 3047 5989 3059 5989 3061 5990 3058 5990 3047 5990 3062 5991 3061 5991 3047 5991 3063 5992 3062 5992 3047 5992 3064 5993 3063 5993 3047 5993 3065 5994 3064 5994 3047 5994 3066 5995 3065 5995 3047 5995 3067 5996 3066 5996 3047 5996 3068 5997 3067 5997 3047 5997 3069 5998 3068 5998 3047 5998 3070 5999 3069 5999 3047 5999 3046 6000 3070 6000 3047 6000 3060 6001 3048 6001 3047 6001 3071 6002 3072 6002 3059 6002 3073 6003 3059 6003 3072 6003 3074 6004 3071 6004 3059 6004 3075 6005 3074 6005 3059 6005 3076 6006 3075 6006 3059 6006 3077 6007 3076 6007 3059 6007 3078 6008 3077 6008 3059 6008 3058 6009 3078 6009 3059 6009 3073 6010 3060 6010 3059 6010 3079 6011 3018 6011 3072 6011 3080 6012 3072 6012 3018 6012 3081 6013 3079 6013 3072 6013 3082 6014 3081 6014 3072 6014 3083 6015 3082 6015 3072 6015 3084 6016 3083 6016 3072 6016 3085 6017 3084 6017 3072 6017 3086 6018 3085 6018 3072 6018 3071 6019 3086 6019 3072 6019 3080 6020 3073 6020 3072 6020 3087 6021 3017 6021 3018 6021 3088 6022 3087 6022 3018 6022 3089 6023 3088 6023 3018 6023 3090 6024 3089 6024 3018 6024 3091 6025 3090 6025 3018 6025 3092 6026 3091 6026 3018 6026 3093 6027 3092 6027 3018 6027 3094 6028 3093 6028 3018 6028 3095 6029 3094 6029 3018 6029 3096 6030 3095 6030 3018 6030 3079 6031 3096 6031 3018 6031 3019 6032 3080 6032 3018 6032 3097 6033 2976 6033 2975 6033 2977 6034 2976 6034 3098 6034 3099 6035 3098 6035 2976 6035 3099 6036 2976 6036 3097 6036 3100 6037 2975 6037 2978 6037 3100 6038 3097 6038 2975 6038 2979 6039 3101 6039 2978 6039 3102 6040 2978 6040 3101 6040 3100 6041 2978 6041 3102 6041 3098 6042 3103 6042 3101 6042 3104 6043 3101 6043 3103 6043 3105 6044 3098 6044 3101 6044 3105 6045 3101 6045 2979 6045 3102 6046 3101 6046 3104 6046 3106 6047 3103 6047 3098 6047 3104 6048 3103 6048 3106 6048 3107 6049 2977 6049 3098 6049 3105 6050 3107 6050 3098 6050 3106 6051 3098 6051 3099 6051 3108 6052 2972 6052 2980 6052 2984 6053 2972 6053 3109 6053 3110 6054 3109 6054 2972 6054 3110 6055 2972 6055 3108 6055 3111 6056 2980 6056 2977 6056 3111 6057 3108 6057 2980 6057 3112 6058 2977 6058 3107 6058 3111 6059 2977 6059 3112 6059 3113 6060 3114 6060 3107 6060 3115 6061 3107 6061 3114 6061 3105 6062 3113 6062 3107 6062 3112 6063 3107 6063 3115 6063 3116 6064 3109 6064 3114 6064 3117 6065 3114 6065 3109 6065 3113 6066 3116 6066 3114 6066 3115 6067 3114 6067 3117 6067 3118 6068 2984 6068 3109 6068 3119 6069 3118 6069 3109 6069 3116 6070 3119 6070 3109 6070 3117 6071 3109 6071 3110 6071 3120 6072 2986 6072 2985 6072 2987 6073 2986 6073 3121 6073 3122 6074 3121 6074 2986 6074 3122 6075 2986 6075 3120 6075 3123 6076 2985 6076 2984 6076 3123 6077 3120 6077 2985 6077 3124 6078 2984 6078 3118 6078 3123 6079 2984 6079 3124 6079 3125 6080 3126 6080 3118 6080 3127 6081 3118 6081 3126 6081 3119 6082 3128 6082 3118 6082 3125 6083 3118 6083 3128 6083 3124 6084 3118 6084 3127 6084 3129 6085 3121 6085 3126 6085 3130 6086 3126 6086 3121 6086 3125 6087 3129 6087 3126 6087 3127 6088 3126 6088 3130 6088 3131 6089 2987 6089 3121 6089 3129 6090 3131 6090 3121 6090 3130 6091 3121 6091 3122 6091 3132 6092 2981 6092 2988 6092 2992 6093 2981 6093 3133 6093 3134 6094 3133 6094 2981 6094 3134 6095 2981 6095 3132 6095 3135 6096 2988 6096 2987 6096 3135 6097 3132 6097 2988 6097 3136 6098 2987 6098 3131 6098 3135 6099 2987 6099 3136 6099 3129 6100 3137 6100 3131 6100 3138 6101 3131 6101 3137 6101 3136 6102 3131 6102 3138 6102 3129 6103 3133 6103 3137 6103 3139 6104 3137 6104 3133 6104 3138 6105 3137 6105 3139 6105 3140 6106 2992 6106 3133 6106 3129 6107 3140 6107 3133 6107 3139 6108 3133 6108 3134 6108 3141 6109 2994 6109 2993 6109 3142 6110 2995 6110 2994 6110 3142 6111 2994 6111 3141 6111 3143 6112 2993 6112 2992 6112 3143 6113 3141 6113 2993 6113 3144 6114 2992 6114 3140 6114 3143 6115 2992 6115 3144 6115 3129 6116 3145 6116 3140 6116 3146 6117 3140 6117 3145 6117 3144 6118 3140 6118 3146 6118 3129 6119 2995 6119 3145 6119 3147 6120 3145 6120 2995 6120 3146 6121 3145 6121 3147 6121 3148 6122 2996 6122 2995 6122 3129 6123 3148 6123 2995 6123 3147 6124 2995 6124 3142 6124 3149 6125 2998 6125 2997 6125 2989 6126 2998 6126 3150 6126 3151 6127 3150 6127 2998 6127 3151 6128 2998 6128 3149 6128 3152 6129 2997 6129 2996 6129 3152 6130 3149 6130 2997 6130 3153 6131 2996 6131 3148 6131 3152 6132 2996 6132 3153 6132 3129 6133 3154 6133 3148 6133 3155 6134 3148 6134 3154 6134 3153 6135 3148 6135 3155 6135 3156 6136 3150 6136 3154 6136 3157 6137 3154 6137 3150 6137 3129 6138 3156 6138 3154 6138 3155 6139 3154 6139 3157 6139 3158 6140 2989 6140 3150 6140 3156 6141 3158 6141 3150 6141 3157 6142 3150 6142 3151 6142 3159 6143 3002 6143 3001 6143 3003 6144 3002 6144 3160 6144 3161 6145 3160 6145 3002 6145 3161 6146 3002 6146 3159 6146 3162 6147 3001 6147 2989 6147 3162 6148 3159 6148 3001 6148 3163 6149 2989 6149 3158 6149 3162 6150 2989 6150 3163 6150 3156 6151 3164 6151 3158 6151 3165 6152 3158 6152 3164 6152 3163 6153 3158 6153 3165 6153 3156 6154 3160 6154 3164 6154 3166 6155 3164 6155 3160 6155 3165 6156 3164 6156 3166 6156 3167 6157 3003 6157 3160 6157 3156 6158 3167 6158 3160 6158 3166 6159 3160 6159 3161 6159 3168 6160 3005 6160 3004 6160 3006 6161 3005 6161 3169 6161 3170 6162 3169 6162 3005 6162 3170 6163 3005 6163 3168 6163 3171 6164 3004 6164 3003 6164 3171 6165 3168 6165 3004 6165 3172 6166 3003 6166 3167 6166 3171 6167 3003 6167 3172 6167 3156 6168 3173 6168 3167 6168 3174 6169 3167 6169 3173 6169 3172 6170 3167 6170 3174 6170 3156 6171 3169 6171 3173 6171 3175 6172 3173 6172 3169 6172 3174 6173 3173 6173 3175 6173 3176 6174 3006 6174 3169 6174 3156 6175 3176 6175 3169 6175 3175 6176 3169 6176 3170 6176 3177 6177 3007 6177 2999 6177 3008 6178 3007 6178 3178 6178 3179 6179 3178 6179 3007 6179 3179 6180 3007 6180 3177 6180 3180 6181 2999 6181 3006 6181 3180 6182 3177 6182 2999 6182 3181 6183 3006 6183 3176 6183 3180 6184 3006 6184 3181 6184 3156 6185 3182 6185 3176 6185 3183 6186 3176 6186 3182 6186 3181 6187 3176 6187 3183 6187 3156 6188 3178 6188 3182 6188 3184 6189 3182 6189 3178 6189 3183 6190 3182 6190 3184 6190 3185 6191 3008 6191 3178 6191 3156 6192 3185 6192 3178 6192 3184 6193 3178 6193 3179 6193 3186 6194 3010 6194 3009 6194 3011 6195 3010 6195 3187 6195 3188 6196 3187 6196 3010 6196 3188 6197 3010 6197 3186 6197 3189 6198 3009 6198 3008 6198 3189 6199 3186 6199 3009 6199 3190 6200 3008 6200 3185 6200 3189 6201 3008 6201 3190 6201 3156 6202 3191 6202 3185 6202 3192 6203 3185 6203 3191 6203 3190 6204 3185 6204 3192 6204 3156 6205 3187 6205 3191 6205 3193 6206 3191 6206 3187 6206 3192 6207 3191 6207 3193 6207 3194 6208 3011 6208 3187 6208 3195 6209 3194 6209 3187 6209 3156 6210 3195 6210 3187 6210 3193 6211 3187 6211 3188 6211 3196 6212 2840 6212 3012 6212 2843 6213 2840 6213 3197 6213 3198 6214 3197 6214 2840 6214 3198 6215 2840 6215 3196 6215 3199 6216 3012 6216 3011 6216 3199 6217 3196 6217 3012 6217 3200 6218 3011 6218 3194 6218 3199 6219 3011 6219 3200 6219 3195 6220 3201 6220 3194 6220 3202 6221 3194 6221 3201 6221 3200 6222 3194 6222 3202 6222 3195 6223 3197 6223 3201 6223 3203 6224 3201 6224 3197 6224 3202 6225 3201 6225 3203 6225 3204 6226 2843 6226 3197 6226 3195 6227 3204 6227 3197 6227 3203 6228 3197 6228 3198 6228 3205 6229 2845 6229 2844 6229 3206 6230 2845 6230 3207 6230 3208 6231 3207 6231 2845 6231 3206 6232 2846 6232 2845 6232 3208 6233 2845 6233 3205 6233 3209 6234 2844 6234 2843 6234 3209 6235 3205 6235 2844 6235 3210 6236 2843 6236 3204 6236 3209 6237 2843 6237 3210 6237 3195 6238 3211 6238 3204 6238 3212 6239 3204 6239 3211 6239 3210 6240 3204 6240 3212 6240 3195 6241 3207 6241 3211 6241 3213 6242 3211 6242 3207 6242 3212 6243 3211 6243 3213 6243 3195 6244 3206 6244 3207 6244 3213 6245 3207 6245 3208 6245 3214 6246 2836 6246 2847 6246 3215 6247 2836 6247 3216 6247 3217 6248 3216 6248 2836 6248 3215 6249 2851 6249 2836 6249 3217 6250 2836 6250 3214 6250 3218 6251 2847 6251 2846 6251 3218 6252 3214 6252 2847 6252 3219 6253 2846 6253 3206 6253 3218 6254 2846 6254 3219 6254 3195 6255 3220 6255 3206 6255 3221 6256 3206 6256 3220 6256 3219 6257 3206 6257 3221 6257 3195 6258 3216 6258 3220 6258 3222 6259 3220 6259 3216 6259 3221 6260 3220 6260 3222 6260 3195 6261 3215 6261 3216 6261 3222 6262 3216 6262 3217 6262 3223 6263 2853 6263 2852 6263 3224 6264 2853 6264 3225 6264 3226 6265 3225 6265 2853 6265 3224 6266 2854 6266 2853 6266 3226 6267 2853 6267 3223 6267 3227 6268 2852 6268 2851 6268 3227 6269 3223 6269 2852 6269 3228 6270 2851 6270 3215 6270 3227 6271 2851 6271 3228 6271 3195 6272 3229 6272 3215 6272 3230 6273 3215 6273 3229 6273 3228 6274 3215 6274 3230 6274 3195 6275 3225 6275 3229 6275 3231 6276 3229 6276 3225 6276 3230 6277 3229 6277 3231 6277 3195 6278 3224 6278 3225 6278 3231 6279 3225 6279 3226 6279 3232 6280 2856 6280 2855 6280 3233 6281 2856 6281 3234 6281 3235 6282 3234 6282 2856 6282 3233 6283 2848 6283 2856 6283 3235 6284 2856 6284 3232 6284 3236 6285 2855 6285 2854 6285 3236 6286 3232 6286 2855 6286 3237 6287 2854 6287 3224 6287 3236 6288 2854 6288 3237 6288 3238 6289 3239 6289 3224 6289 3240 6290 3224 6290 3239 6290 3195 6291 3238 6291 3224 6291 3237 6292 3224 6292 3240 6292 3238 6293 3234 6293 3239 6293 3241 6294 3239 6294 3234 6294 3240 6295 3239 6295 3241 6295 3238 6296 3233 6296 3234 6296 3241 6297 3234 6297 3235 6297 3242 6298 2861 6298 2860 6298 3243 6299 2861 6299 3244 6299 3245 6300 3244 6300 2861 6300 3243 6301 2862 6301 2861 6301 3245 6302 2861 6302 3242 6302 3246 6303 2860 6303 2848 6303 3246 6304 3242 6304 2860 6304 3247 6305 2848 6305 3233 6305 3246 6306 2848 6306 3247 6306 3238 6307 3248 6307 3233 6307 3249 6308 3233 6308 3248 6308 3247 6309 3233 6309 3249 6309 3238 6310 3244 6310 3248 6310 3250 6311 3248 6311 3244 6311 3249 6312 3248 6312 3250 6312 3238 6313 3243 6313 3244 6313 3250 6314 3244 6314 3245 6314 3251 6315 2864 6315 2863 6315 3252 6316 2864 6316 3253 6316 3254 6317 3253 6317 2864 6317 3252 6318 2865 6318 2864 6318 3254 6319 2864 6319 3251 6319 3255 6320 2863 6320 2862 6320 3255 6321 3251 6321 2863 6321 3256 6322 2862 6322 3243 6322 3255 6323 2862 6323 3256 6323 3238 6324 3257 6324 3243 6324 3258 6325 3243 6325 3257 6325 3256 6326 3243 6326 3258 6326 3238 6327 3253 6327 3257 6327 3259 6328 3257 6328 3253 6328 3258 6329 3257 6329 3259 6329 3238 6330 3252 6330 3253 6330 3259 6331 3253 6331 3254 6331 3260 6332 2869 6332 2857 6332 3261 6333 2869 6333 3262 6333 3263 6334 3262 6334 2869 6334 3261 6335 2870 6335 2869 6335 3263 6336 2869 6336 3260 6336 3264 6337 2857 6337 2865 6337 3264 6338 3260 6338 2857 6338 3265 6339 2865 6339 3252 6339 3264 6340 2865 6340 3265 6340 3238 6341 3266 6341 3252 6341 3267 6342 3252 6342 3266 6342 3265 6343 3252 6343 3267 6343 3238 6344 3262 6344 3266 6344 3268 6345 3266 6345 3262 6345 3267 6346 3266 6346 3268 6346 3238 6347 3261 6347 3262 6347 3268 6348 3262 6348 3263 6348 3269 6349 2872 6349 2871 6349 3270 6350 2872 6350 3271 6350 3272 6351 3271 6351 2872 6351 3270 6352 2873 6352 2872 6352 3272 6353 2872 6353 3269 6353 3273 6354 2871 6354 2870 6354 3273 6355 3269 6355 2871 6355 3274 6356 2870 6356 3261 6356 3273 6357 2870 6357 3274 6357 3238 6358 3275 6358 3261 6358 3276 6359 3261 6359 3275 6359 3274 6360 3261 6360 3276 6360 3277 6361 3271 6361 3275 6361 3278 6362 3275 6362 3271 6362 3238 6363 3277 6363 3275 6363 3276 6364 3275 6364 3278 6364 3277 6365 3270 6365 3271 6365 3278 6366 3271 6366 3272 6366 3279 6367 2866 6367 2874 6367 3280 6368 2866 6368 3281 6368 3282 6369 3281 6369 2866 6369 3280 6370 2878 6370 2866 6370 3282 6371 2866 6371 3279 6371 3283 6372 2874 6372 2873 6372 3283 6373 3279 6373 2874 6373 3284 6374 2873 6374 3270 6374 3283 6375 2873 6375 3284 6375 3277 6376 3285 6376 3270 6376 3286 6377 3270 6377 3285 6377 3284 6378 3270 6378 3286 6378 3277 6379 3281 6379 3285 6379 3287 6380 3285 6380 3281 6380 3286 6381 3285 6381 3287 6381 3277 6382 3280 6382 3281 6382 3287 6383 3281 6383 3282 6383 3288 6384 2880 6384 2879 6384 3289 6385 2880 6385 3290 6385 3291 6386 3290 6386 2880 6386 3289 6387 2881 6387 2880 6387 3291 6388 2880 6388 3288 6388 3292 6389 2879 6389 2878 6389 3292 6390 3288 6390 2879 6390 3293 6391 2878 6391 3280 6391 3292 6392 2878 6392 3293 6392 3277 6393 3294 6393 3280 6393 3295 6394 3280 6394 3294 6394 3293 6395 3280 6395 3295 6395 3277 6396 3290 6396 3294 6396 3296 6397 3294 6397 3290 6397 3295 6398 3294 6398 3296 6398 3277 6399 3289 6399 3290 6399 3296 6400 3290 6400 3291 6400 3297 6401 2875 6401 2882 6401 3298 6402 2875 6402 3299 6402 3300 6403 3299 6403 2875 6403 3298 6404 2886 6404 2875 6404 3300 6405 2875 6405 3297 6405 3301 6406 2882 6406 2881 6406 3301 6407 3297 6407 2882 6407 3302 6408 2881 6408 3289 6408 3301 6409 2881 6409 3302 6409 3303 6410 3304 6410 3289 6410 3305 6411 3289 6411 3304 6411 3306 6412 3303 6412 3289 6412 3277 6413 3306 6413 3289 6413 3302 6414 3289 6414 3305 6414 3307 6415 3299 6415 3304 6415 3308 6416 3304 6416 3299 6416 3303 6417 3307 6417 3304 6417 3305 6418 3304 6418 3308 6418 3309 6419 3298 6419 3299 6419 3307 6420 3309 6420 3299 6420 3308 6421 3299 6421 3300 6421 3310 6422 2888 6422 2887 6422 2889 6423 2888 6423 3311 6423 3312 6424 3311 6424 2888 6424 3312 6425 2888 6425 3310 6425 3313 6426 2887 6426 2886 6426 3313 6427 3310 6427 2887 6427 3314 6428 2886 6428 3298 6428 3313 6429 2886 6429 3314 6429 3315 6430 3316 6430 3298 6430 3317 6431 3298 6431 3316 6431 3309 6432 3315 6432 3298 6432 3314 6433 3298 6433 3317 6433 3318 6434 3311 6434 3316 6434 3319 6435 3316 6435 3311 6435 3315 6436 3318 6436 3316 6436 3317 6437 3316 6437 3319 6437 3318 6438 2889 6438 3311 6438 3319 6439 3311 6439 3312 6439 3320 6440 2891 6440 2890 6440 2883 6441 2891 6441 3309 6441 3321 6442 3309 6442 2891 6442 3321 6443 2891 6443 3320 6443 3322 6444 2890 6444 2889 6444 3322 6445 3320 6445 2890 6445 3323 6446 2889 6446 3318 6446 3322 6447 2889 6447 3323 6447 3324 6448 3318 6448 3315 6448 3323 6449 3318 6449 3324 6449 3325 6450 3315 6450 3309 6450 3324 6451 3315 6451 3325 6451 3307 6452 2883 6452 3309 6452 3325 6453 3309 6453 3321 6453 3326 6454 2896 6454 2895 6454 2897 6455 2896 6455 3306 6455 3327 6456 3306 6456 2896 6456 3327 6457 2896 6457 3326 6457 3328 6458 2895 6458 2883 6458 3328 6459 3326 6459 2895 6459 3329 6460 2883 6460 3307 6460 3328 6461 2883 6461 3329 6461 3330 6462 3307 6462 3303 6462 3329 6463 3307 6463 3330 6463 3331 6464 3303 6464 3306 6464 3330 6465 3303 6465 3331 6465 3332 6466 2897 6466 3306 6466 3277 6467 3332 6467 3306 6467 3331 6468 3306 6468 3327 6468 3333 6469 2899 6469 2898 6469 2900 6470 2899 6470 3334 6470 3335 6471 3334 6471 2899 6471 3335 6472 2899 6472 3333 6472 3336 6473 2898 6473 2897 6473 3336 6474 3333 6474 2898 6474 3337 6475 2897 6475 3332 6475 3336 6476 2897 6476 3337 6476 3338 6477 3339 6477 3332 6477 3340 6478 3332 6478 3339 6478 3338 6479 3332 6479 3277 6479 3337 6480 3332 6480 3340 6480 3338 6481 3334 6481 3339 6481 3341 6482 3339 6482 3334 6482 3340 6483 3339 6483 3341 6483 3342 6484 2900 6484 3334 6484 3338 6485 3342 6485 3334 6485 3341 6486 3334 6486 3335 6486 3343 6487 2904 6487 2892 6487 2905 6488 2904 6488 3344 6488 3345 6489 3344 6489 2904 6489 3345 6490 2904 6490 3343 6490 3346 6491 2892 6491 2900 6491 3346 6492 3343 6492 2892 6492 3347 6493 2900 6493 3342 6493 3346 6494 2900 6494 3347 6494 3338 6495 3348 6495 3342 6495 3349 6496 3342 6496 3348 6496 3347 6497 3342 6497 3349 6497 3338 6498 3344 6498 3348 6498 3350 6499 3348 6499 3344 6499 3349 6500 3348 6500 3350 6500 3351 6501 2905 6501 3344 6501 3338 6502 3351 6502 3344 6502 3350 6503 3344 6503 3345 6503 3352 6504 2907 6504 2906 6504 2908 6505 2907 6505 3353 6505 3354 6506 3353 6506 2907 6506 3354 6507 2907 6507 3352 6507 3355 6508 2906 6508 2905 6508 3355 6509 3352 6509 2906 6509 3356 6510 2905 6510 3351 6510 3355 6511 2905 6511 3356 6511 3338 6512 3357 6512 3351 6512 3358 6513 3351 6513 3357 6513 3356 6514 3351 6514 3358 6514 3338 6515 3353 6515 3357 6515 3359 6516 3357 6516 3353 6516 3358 6517 3357 6517 3359 6517 3360 6518 2908 6518 3353 6518 3361 6519 3360 6519 3353 6519 3338 6520 3361 6520 3353 6520 3359 6521 3353 6521 3354 6521 3362 6522 2901 6522 2909 6522 2913 6523 2901 6523 3363 6523 3364 6524 3363 6524 2901 6524 3364 6525 2901 6525 3362 6525 3365 6526 2909 6526 2908 6526 3365 6527 3362 6527 2909 6527 3366 6528 2908 6528 3360 6528 3365 6529 2908 6529 3366 6529 3361 6530 3367 6530 3360 6530 3368 6531 3360 6531 3367 6531 3366 6532 3360 6532 3368 6532 3361 6533 3363 6533 3367 6533 3369 6534 3367 6534 3363 6534 3368 6535 3367 6535 3369 6535 3370 6536 2913 6536 3363 6536 3361 6537 3370 6537 3363 6537 3369 6538 3363 6538 3364 6538 3371 6539 2915 6539 2914 6539 2916 6540 2915 6540 3372 6540 3373 6541 3372 6541 2915 6541 3373 6542 2915 6542 3371 6542 3374 6543 2914 6543 2913 6543 3374 6544 3371 6544 2914 6544 3375 6545 2913 6545 3370 6545 3374 6546 2913 6546 3375 6546 3361 6547 3376 6547 3370 6547 3377 6548 3370 6548 3376 6548 3375 6549 3370 6549 3377 6549 3361 6550 3372 6550 3376 6550 3378 6551 3376 6551 3372 6551 3377 6552 3376 6552 3378 6552 3379 6553 2916 6553 3372 6553 3361 6554 3379 6554 3372 6554 3378 6555 3372 6555 3373 6555 3380 6556 2910 6556 2917 6556 2921 6557 2910 6557 3381 6557 3382 6558 3381 6558 2910 6558 3382 6559 2910 6559 3380 6559 3383 6560 2917 6560 2916 6560 3383 6561 3380 6561 2917 6561 3384 6562 2916 6562 3379 6562 3383 6563 2916 6563 3384 6563 3361 6564 3385 6564 3379 6564 3386 6565 3379 6565 3385 6565 3384 6566 3379 6566 3386 6566 3361 6567 3381 6567 3385 6567 3387 6568 3385 6568 3381 6568 3386 6569 3385 6569 3387 6569 3388 6570 2921 6570 3381 6570 3361 6571 3388 6571 3381 6571 3387 6572 3381 6572 3382 6572 3389 6573 2923 6573 2922 6573 3390 6574 2924 6574 2923 6574 3390 6575 2923 6575 3389 6575 3391 6576 2922 6576 2921 6576 3391 6577 3389 6577 2922 6577 3392 6578 2921 6578 3388 6578 3391 6579 2921 6579 3392 6579 3361 6580 3393 6580 3388 6580 3394 6581 3388 6581 3393 6581 3392 6582 3388 6582 3394 6582 3361 6583 2924 6583 3393 6583 3395 6584 3393 6584 2924 6584 3394 6585 3393 6585 3395 6585 3361 6586 2925 6586 2924 6586 3395 6587 2924 6587 3390 6587 3396 6588 2927 6588 2926 6588 2918 6589 2927 6589 3397 6589 3398 6590 3397 6590 2927 6590 3398 6591 2927 6591 3396 6591 3399 6592 2926 6592 2925 6592 3399 6593 3396 6593 2926 6593 3361 6594 3400 6594 2925 6594 3401 6595 2925 6595 3400 6595 3399 6596 2925 6596 3401 6596 3402 6597 3403 6597 3400 6597 3404 6598 3400 6598 3403 6598 3361 6599 3402 6599 3400 6599 3401 6600 3400 6600 3404 6600 3402 6601 3397 6601 3403 6601 3405 6602 3403 6602 3397 6602 3404 6603 3403 6603 3405 6603 3406 6604 2918 6604 3397 6604 3402 6605 3406 6605 3397 6605 3405 6606 3397 6606 3398 6606 3407 6607 2932 6607 2931 6607 3408 6608 2932 6608 3409 6608 3410 6609 3409 6609 2932 6609 3408 6610 2933 6610 2932 6610 3410 6611 2932 6611 3407 6611 3411 6612 2931 6612 2918 6612 3411 6613 3407 6613 2931 6613 3412 6614 2918 6614 3406 6614 3411 6615 2918 6615 3412 6615 3402 6616 3413 6616 3406 6616 3414 6617 3406 6617 3413 6617 3412 6618 3406 6618 3414 6618 3402 6619 3409 6619 3413 6619 3415 6620 3413 6620 3409 6620 3414 6621 3413 6621 3415 6621 3402 6622 3408 6622 3409 6622 3415 6623 3409 6623 3410 6623 3416 6624 2935 6624 2934 6624 3417 6625 2935 6625 3418 6625 3419 6626 3418 6626 2935 6626 3417 6627 2936 6627 2935 6627 3419 6628 2935 6628 3416 6628 3420 6629 2934 6629 2933 6629 3420 6630 3416 6630 2934 6630 3421 6631 2933 6631 3408 6631 3420 6632 2933 6632 3421 6632 3402 6633 3422 6633 3408 6633 3423 6634 3408 6634 3422 6634 3421 6635 3408 6635 3423 6635 3402 6636 3418 6636 3422 6636 3424 6637 3422 6637 3418 6637 3423 6638 3422 6638 3424 6638 3402 6639 3417 6639 3418 6639 3424 6640 3418 6640 3419 6640 3425 6641 2940 6641 2928 6641 3426 6642 2940 6642 3427 6642 3428 6643 3427 6643 2940 6643 3426 6644 2941 6644 2940 6644 3428 6645 2940 6645 3425 6645 3429 6646 2928 6646 2936 6646 3429 6647 3425 6647 2928 6647 3430 6648 2936 6648 3417 6648 3429 6649 2936 6649 3430 6649 3402 6650 3431 6650 3417 6650 3432 6651 3417 6651 3431 6651 3430 6652 3417 6652 3432 6652 3402 6653 3427 6653 3431 6653 3433 6654 3431 6654 3427 6654 3432 6655 3431 6655 3433 6655 3402 6656 3426 6656 3427 6656 3433 6657 3427 6657 3428 6657 3434 6658 2943 6658 2942 6658 3435 6659 2943 6659 3436 6659 3437 6660 3436 6660 2943 6660 3435 6661 2944 6661 2943 6661 3437 6662 2943 6662 3434 6662 3438 6663 2942 6663 2941 6663 3438 6664 3434 6664 2942 6664 3439 6665 2941 6665 3426 6665 3438 6666 2941 6666 3439 6666 3402 6667 3440 6667 3426 6667 3441 6668 3426 6668 3440 6668 3439 6669 3426 6669 3441 6669 3442 6670 3436 6670 3440 6670 3443 6671 3440 6671 3436 6671 3402 6672 3442 6672 3440 6672 3441 6673 3440 6673 3443 6673 3442 6674 3435 6674 3436 6674 3443 6675 3436 6675 3437 6675 3444 6676 2937 6676 2945 6676 3445 6677 2937 6677 3446 6677 3447 6678 3446 6678 2937 6678 3445 6679 2949 6679 2937 6679 3447 6680 2937 6680 3444 6680 3448 6681 2945 6681 2944 6681 3448 6682 3444 6682 2945 6682 3449 6683 2944 6683 3435 6683 3448 6684 2944 6684 3449 6684 3442 6685 3450 6685 3435 6685 3451 6686 3435 6686 3450 6686 3449 6687 3435 6687 3451 6687 3442 6688 3446 6688 3450 6688 3452 6689 3450 6689 3446 6689 3451 6690 3450 6690 3452 6690 3442 6691 3445 6691 3446 6691 3452 6692 3446 6692 3447 6692 3453 6693 2951 6693 2950 6693 3454 6694 2951 6694 3455 6694 3456 6695 3455 6695 2951 6695 3454 6696 2952 6696 2951 6696 3456 6697 2951 6697 3453 6697 3457 6698 2950 6698 2949 6698 3457 6699 3453 6699 2950 6699 3458 6700 2949 6700 3445 6700 3457 6701 2949 6701 3458 6701 3442 6702 3459 6702 3445 6702 3460 6703 3445 6703 3459 6703 3458 6704 3445 6704 3460 6704 3442 6705 3455 6705 3459 6705 3461 6706 3459 6706 3455 6706 3460 6707 3459 6707 3461 6707 3442 6708 3454 6708 3455 6708 3461 6709 3455 6709 3456 6709 3462 6710 2946 6710 2953 6710 3463 6711 2946 6711 3464 6711 3465 6712 3464 6712 2946 6712 3463 6713 2957 6713 2946 6713 3465 6714 2946 6714 3462 6714 3466 6715 2953 6715 2952 6715 3466 6716 3462 6716 2953 6716 3467 6717 2952 6717 3454 6717 3466 6718 2952 6718 3467 6718 3442 6719 3468 6719 3454 6719 3469 6720 3454 6720 3468 6720 3467 6721 3454 6721 3469 6721 3442 6722 3464 6722 3468 6722 3470 6723 3468 6723 3464 6723 3469 6724 3468 6724 3470 6724 3442 6725 3463 6725 3464 6725 3470 6726 3464 6726 3465 6726 3471 6727 2959 6727 2958 6727 3472 6728 2959 6728 3473 6728 3474 6729 3473 6729 2959 6729 3472 6730 2960 6730 2959 6730 3474 6731 2959 6731 3471 6731 3475 6732 2958 6732 2957 6732 3475 6733 3471 6733 2958 6733 3476 6734 2957 6734 3463 6734 3475 6735 2957 6735 3476 6735 3442 6736 3477 6736 3463 6736 3478 6737 3463 6737 3477 6737 3476 6738 3463 6738 3478 6738 3442 6739 3473 6739 3477 6739 3479 6740 3477 6740 3473 6740 3478 6741 3477 6741 3479 6741 3125 6742 3472 6742 3473 6742 3442 6743 3125 6743 3473 6743 3479 6744 3473 6744 3474 6744 3480 6745 2962 6745 2961 6745 3481 6746 2962 6746 3482 6746 3483 6747 3482 6747 2962 6747 3481 6748 2954 6748 2962 6748 3483 6749 2962 6749 3480 6749 3484 6750 2961 6750 2960 6750 3484 6751 3480 6751 2961 6751 3485 6752 2960 6752 3472 6752 3484 6753 2960 6753 3485 6753 3125 6754 3486 6754 3472 6754 3487 6755 3472 6755 3486 6755 3485 6756 3472 6756 3487 6756 3125 6757 3482 6757 3486 6757 3488 6758 3486 6758 3482 6758 3487 6759 3486 6759 3488 6759 3125 6760 3481 6760 3482 6760 3488 6761 3482 6761 3483 6761 3489 6762 2967 6762 2966 6762 3490 6763 2967 6763 3491 6763 3492 6764 3491 6764 2967 6764 3490 6765 2968 6765 2967 6765 3492 6766 2967 6766 3489 6766 3493 6767 2966 6767 2954 6767 3493 6768 3489 6768 2966 6768 3494 6769 2954 6769 3481 6769 3493 6770 2954 6770 3494 6770 3125 6771 3495 6771 3481 6771 3496 6772 3481 6772 3495 6772 3494 6773 3481 6773 3496 6773 3125 6774 3491 6774 3495 6774 3497 6775 3495 6775 3491 6775 3496 6776 3495 6776 3497 6776 3125 6777 3490 6777 3491 6777 3497 6778 3491 6778 3492 6778 3498 6779 2970 6779 2969 6779 3116 6780 2970 6780 3119 6780 3499 6781 3119 6781 2970 6781 3116 6782 2971 6782 2970 6782 3499 6783 2970 6783 3498 6783 3500 6784 2969 6784 2968 6784 3500 6785 3498 6785 2969 6785 3501 6786 2968 6786 3490 6786 3500 6787 2968 6787 3501 6787 3125 6788 3128 6788 3490 6788 3502 6789 3490 6789 3128 6789 3501 6790 3490 6790 3502 6790 3503 6791 3128 6791 3119 6791 3502 6792 3128 6792 3503 6792 3503 6793 3119 6793 3499 6793 3504 6794 2979 6794 2963 6794 3505 6795 3105 6795 2979 6795 3505 6796 2979 6796 3504 6796 3506 6797 2963 6797 2971 6797 3506 6798 3504 6798 2963 6798 3507 6799 2971 6799 3116 6799 3506 6800 2971 6800 3507 6800 3508 6801 3116 6801 3113 6801 3507 6802 3116 6802 3508 6802 3509 6803 3113 6803 3105 6803 3508 6804 3113 6804 3509 6804 3509 6805 3105 6805 3505 6805 3510 6806 3511 6806 3512 6806 3513 6807 3512 6807 3511 6807 3514 6808 3512 6808 3515 6808 3516 6809 3515 6809 3512 6809 3510 6810 3512 6810 3514 6810 3516 6811 3512 6811 3513 6811 3510 6812 3517 6812 3511 6812 3518 6813 3511 6813 3517 6813 3518 6814 3513 6814 3511 6814 3519 6815 3520 6815 3517 6815 3521 6816 3517 6816 3520 6816 3510 6817 3519 6817 3517 6817 3518 6818 3517 6818 3521 6818 3515 6819 3522 6819 3520 6819 3523 6820 3520 6820 3522 6820 3524 6821 3515 6821 3520 6821 3524 6822 3520 6822 3519 6822 3521 6823 3520 6823 3523 6823 3525 6824 3522 6824 3515 6824 3523 6825 3522 6825 3525 6825 3526 6826 3514 6826 3515 6826 3524 6827 3526 6827 3515 6827 3525 6828 3515 6828 3516 6828 3510 6829 3527 6829 3528 6829 3529 6830 3528 6830 3527 6830 3530 6831 3528 6831 3531 6831 3532 6832 3531 6832 3528 6832 3510 6833 3528 6833 3530 6833 3532 6834 3528 6834 3529 6834 3510 6835 3514 6835 3527 6835 3533 6836 3527 6836 3514 6836 3533 6837 3529 6837 3527 6837 3534 6838 3514 6838 3526 6838 3533 6839 3514 6839 3534 6839 3535 6840 3536 6840 3526 6840 3537 6841 3526 6841 3536 6841 3524 6842 3535 6842 3526 6842 3534 6843 3526 6843 3537 6843 3538 6844 3531 6844 3536 6844 3539 6845 3536 6845 3531 6845 3535 6846 3538 6846 3536 6846 3537 6847 3536 6847 3539 6847 3540 6848 3530 6848 3531 6848 3541 6849 3540 6849 3531 6849 3538 6850 3541 6850 3531 6850 3539 6851 3531 6851 3532 6851 3510 6852 3542 6852 3543 6852 3544 6853 3543 6853 3542 6853 3545 6854 3543 6854 3546 6854 3547 6855 3546 6855 3543 6855 3510 6856 3543 6856 3545 6856 3547 6857 3543 6857 3544 6857 3510 6858 3530 6858 3542 6858 3548 6859 3542 6859 3530 6859 3548 6860 3544 6860 3542 6860 3549 6861 3530 6861 3540 6861 3548 6862 3530 6862 3549 6862 3550 6863 3551 6863 3540 6863 3552 6864 3540 6864 3551 6864 3541 6865 3550 6865 3540 6865 3549 6866 3540 6866 3552 6866 3553 6867 3546 6867 3551 6867 3554 6868 3551 6868 3546 6868 3550 6869 3553 6869 3551 6869 3552 6870 3551 6870 3554 6870 3555 6871 3545 6871 3546 6871 3556 6872 3555 6872 3546 6872 3553 6873 3556 6873 3546 6873 3554 6874 3546 6874 3547 6874 3557 6875 3558 6875 3559 6875 3560 6876 3559 6876 3558 6876 3561 6877 3559 6877 3562 6877 3563 6878 3562 6878 3559 6878 3557 6879 3559 6879 3561 6879 3563 6880 3559 6880 3560 6880 3510 6881 3545 6881 3558 6881 3564 6882 3558 6882 3545 6882 3557 6883 3510 6883 3558 6883 3564 6884 3560 6884 3558 6884 3565 6885 3545 6885 3555 6885 3564 6886 3545 6886 3565 6886 3566 6887 3567 6887 3555 6887 3568 6888 3555 6888 3567 6888 3556 6889 3566 6889 3555 6889 3565 6890 3555 6890 3568 6890 3569 6891 3562 6891 3567 6891 3570 6892 3567 6892 3562 6892 3566 6893 3569 6893 3567 6893 3568 6894 3567 6894 3570 6894 3571 6895 3561 6895 3562 6895 3572 6896 3571 6896 3562 6896 3569 6897 3572 6897 3562 6897 3570 6898 3562 6898 3563 6898 3557 6899 3573 6899 3574 6899 3575 6900 3574 6900 3573 6900 3576 6901 3574 6901 3577 6901 3578 6902 3577 6902 3574 6902 3557 6903 3574 6903 3576 6903 3578 6904 3574 6904 3575 6904 3557 6905 3561 6905 3573 6905 3579 6906 3573 6906 3561 6906 3579 6907 3575 6907 3573 6907 3580 6908 3561 6908 3571 6908 3579 6909 3561 6909 3580 6909 3581 6910 3582 6910 3571 6910 3583 6911 3571 6911 3582 6911 3572 6912 3581 6912 3571 6912 3580 6913 3571 6913 3583 6913 3584 6914 3577 6914 3582 6914 3585 6915 3582 6915 3577 6915 3581 6916 3584 6916 3582 6916 3583 6917 3582 6917 3585 6917 3586 6918 3576 6918 3577 6918 3587 6919 3586 6919 3577 6919 3584 6920 3587 6920 3577 6920 3585 6921 3577 6921 3578 6921 3557 6922 3588 6922 3589 6922 3590 6923 3589 6923 3588 6923 3591 6924 3589 6924 3592 6924 3593 6925 3592 6925 3589 6925 3557 6926 3589 6926 3591 6926 3593 6927 3589 6927 3590 6927 3557 6928 3576 6928 3588 6928 3594 6929 3588 6929 3576 6929 3594 6930 3590 6930 3588 6930 3595 6931 3576 6931 3586 6931 3594 6932 3576 6932 3595 6932 3596 6933 3597 6933 3586 6933 3598 6934 3586 6934 3597 6934 3587 6935 3596 6935 3586 6935 3595 6936 3586 6936 3598 6936 3599 6937 3592 6937 3597 6937 3600 6938 3597 6938 3592 6938 3596 6939 3599 6939 3597 6939 3598 6940 3597 6940 3600 6940 3040 6941 3591 6941 3592 6941 3601 6942 3040 6942 3592 6942 3599 6943 3601 6943 3592 6943 3600 6944 3592 6944 3593 6944 3557 6945 3602 6945 3603 6945 3604 6946 3603 6946 3602 6946 3605 6947 3603 6947 3032 6947 3606 6948 3032 6948 3603 6948 3557 6949 3603 6949 3605 6949 3606 6950 3603 6950 3604 6950 3557 6951 3591 6951 3602 6951 3607 6952 3602 6952 3591 6952 3607 6953 3604 6953 3602 6953 3608 6954 3591 6954 3040 6954 3607 6955 3591 6955 3608 6955 3609 6956 3040 6956 3029 6956 3601 6957 3041 6957 3040 6957 3608 6958 3040 6958 3609 6958 3610 6959 3029 6959 3032 6959 3609 6960 3029 6960 3610 6960 3033 6961 3605 6961 3032 6961 3610 6962 3032 6962 3606 6962 3557 6963 3611 6963 3612 6963 3613 6964 3612 6964 3611 6964 3614 6965 3612 6965 3035 6965 3615 6966 3035 6966 3612 6966 3557 6967 3612 6967 3614 6967 3615 6968 3612 6968 3613 6968 3557 6969 3605 6969 3611 6969 3616 6970 3611 6970 3605 6970 3616 6971 3613 6971 3611 6971 3617 6972 3605 6972 3033 6972 3616 6973 3605 6973 3617 6973 3618 6974 3033 6974 3034 6974 3617 6975 3033 6975 3618 6975 3619 6976 3034 6976 3035 6976 3618 6977 3034 6977 3619 6977 3036 6978 3614 6978 3035 6978 3619 6979 3035 6979 3615 6979 3620 6980 3621 6980 3622 6980 3623 6981 3622 6981 3621 6981 3624 6982 3622 6982 3020 6982 3625 6983 3020 6983 3622 6983 3620 6984 3622 6984 3624 6984 3625 6985 3622 6985 3623 6985 3620 6986 3614 6986 3621 6986 3626 6987 3621 6987 3614 6987 3626 6988 3623 6988 3621 6988 3627 6989 3614 6989 3036 6989 3620 6990 3557 6990 3614 6990 3626 6991 3614 6991 3627 6991 3628 6992 3036 6992 3013 6992 3627 6993 3036 6993 3628 6993 3629 6994 3013 6994 3020 6994 3628 6995 3013 6995 3629 6995 3021 6996 3624 6996 3020 6996 3629 6997 3020 6997 3625 6997 3620 6998 3630 6998 3631 6998 3632 6999 3631 6999 3630 6999 3633 7000 3631 7000 3023 7000 3634 7001 3023 7001 3631 7001 3620 7002 3631 7002 3633 7002 3634 7003 3631 7003 3632 7003 3620 7004 3624 7004 3630 7004 3635 7005 3630 7005 3624 7005 3635 7006 3632 7006 3630 7006 3636 7007 3624 7007 3021 7007 3635 7008 3624 7008 3636 7008 3637 7009 3021 7009 3022 7009 3636 7010 3021 7010 3637 7010 3638 7011 3022 7011 3023 7011 3637 7012 3022 7012 3638 7012 3024 7013 3633 7013 3023 7013 3638 7014 3023 7014 3634 7014 3620 7015 3639 7015 3640 7015 3641 7016 3640 7016 3639 7016 3642 7017 3640 7017 3026 7017 3643 7018 3026 7018 3640 7018 3620 7019 3640 7019 3642 7019 3643 7020 3640 7020 3641 7020 3620 7021 3633 7021 3639 7021 3644 7022 3639 7022 3633 7022 3644 7023 3641 7023 3639 7023 3645 7024 3633 7024 3024 7024 3644 7025 3633 7025 3645 7025 3646 7026 3024 7026 3025 7026 3645 7027 3024 7027 3646 7027 3647 7028 3025 7028 3026 7028 3646 7029 3025 7029 3647 7029 3027 7030 3642 7030 3026 7030 3647 7031 3026 7031 3643 7031 3620 7032 3648 7032 3649 7032 3650 7033 3649 7033 3648 7033 3087 7034 3649 7034 3017 7034 3651 7035 3017 7035 3649 7035 3087 7036 3652 7036 3649 7036 3620 7037 3649 7037 3652 7037 3651 7038 3649 7038 3650 7038 3620 7039 3642 7039 3648 7039 3653 7040 3648 7040 3642 7040 3653 7041 3650 7041 3648 7041 3654 7042 3642 7042 3027 7042 3653 7043 3642 7043 3654 7043 3655 7044 3027 7044 3028 7044 3654 7045 3027 7045 3655 7045 3656 7046 3028 7046 3017 7046 3655 7047 3028 7047 3656 7047 3656 7048 3017 7048 3651 7048 3657 7049 3658 7049 3659 7049 3660 7050 3659 7050 3658 7050 3090 7051 3659 7051 3089 7051 3661 7052 3089 7052 3659 7052 3090 7053 3662 7053 3659 7053 3657 7054 3659 7054 3662 7054 3661 7055 3659 7055 3660 7055 3620 7056 3652 7056 3658 7056 3663 7057 3658 7057 3652 7057 3657 7058 3620 7058 3658 7058 3663 7059 3660 7059 3658 7059 3664 7060 3652 7060 3087 7060 3663 7061 3652 7061 3664 7061 3665 7062 3087 7062 3088 7062 3664 7063 3087 7063 3665 7063 3666 7064 3088 7064 3089 7064 3665 7065 3088 7065 3666 7065 3666 7066 3089 7066 3661 7066 3657 7067 3667 7067 3668 7067 3669 7068 3668 7068 3667 7068 3093 7069 3668 7069 3092 7069 3670 7070 3092 7070 3668 7070 3093 7071 3671 7071 3668 7071 3657 7072 3668 7072 3671 7072 3670 7073 3668 7073 3669 7073 3657 7074 3662 7074 3667 7074 3672 7075 3667 7075 3662 7075 3672 7076 3669 7076 3667 7076 3673 7077 3662 7077 3090 7077 3672 7078 3662 7078 3673 7078 3674 7079 3090 7079 3091 7079 3673 7080 3090 7080 3674 7080 3675 7081 3091 7081 3092 7081 3674 7082 3091 7082 3675 7082 3675 7083 3092 7083 3670 7083 3657 7084 3676 7084 3677 7084 3678 7085 3677 7085 3676 7085 3096 7086 3677 7086 3095 7086 3679 7087 3095 7087 3677 7087 3096 7088 3680 7088 3677 7088 3657 7089 3677 7089 3680 7089 3679 7090 3677 7090 3678 7090 3657 7091 3671 7091 3676 7091 3681 7092 3676 7092 3671 7092 3681 7093 3678 7093 3676 7093 3682 7094 3671 7094 3093 7094 3681 7095 3671 7095 3682 7095 3683 7096 3093 7096 3094 7096 3682 7097 3093 7097 3683 7097 3684 7098 3094 7098 3095 7098 3683 7099 3094 7099 3684 7099 3684 7100 3095 7100 3679 7100 3657 7101 3685 7101 3686 7101 3687 7102 3686 7102 3685 7102 3082 7103 3686 7103 3081 7103 3688 7104 3081 7104 3686 7104 3082 7105 3689 7105 3686 7105 3657 7106 3686 7106 3689 7106 3688 7107 3686 7107 3687 7107 3657 7108 3680 7108 3685 7108 3690 7109 3685 7109 3680 7109 3690 7110 3687 7110 3685 7110 3691 7111 3680 7111 3096 7111 3690 7112 3680 7112 3691 7112 3692 7113 3096 7113 3079 7113 3691 7114 3096 7114 3692 7114 3693 7115 3079 7115 3081 7115 3692 7116 3079 7116 3693 7116 3693 7117 3081 7117 3688 7117 3657 7118 3694 7118 3695 7118 3696 7119 3695 7119 3694 7119 3085 7120 3695 7120 3084 7120 3697 7121 3084 7121 3695 7121 3085 7122 3698 7122 3695 7122 3657 7123 3695 7123 3698 7123 3697 7124 3695 7124 3696 7124 3657 7125 3689 7125 3694 7125 3699 7126 3694 7126 3689 7126 3699 7127 3696 7127 3694 7127 3700 7128 3689 7128 3082 7128 3699 7129 3689 7129 3700 7129 3701 7130 3082 7130 3083 7130 3700 7131 3082 7131 3701 7131 3702 7132 3083 7132 3084 7132 3701 7133 3083 7133 3702 7133 3702 7134 3084 7134 3697 7134 3703 7135 3704 7135 3705 7135 3706 7136 3705 7136 3704 7136 3707 7137 3705 7137 3708 7137 3709 7138 3708 7138 3705 7138 3707 7139 3710 7139 3705 7139 3703 7140 3705 7140 3710 7140 3709 7141 3705 7141 3706 7141 3703 7142 3698 7142 3704 7142 3711 7143 3704 7143 3698 7143 3711 7144 3706 7144 3704 7144 3712 7145 3698 7145 3085 7145 3703 7146 3657 7146 3698 7146 3711 7147 3698 7147 3712 7147 3086 7148 3713 7148 3085 7148 3714 7149 3085 7149 3713 7149 3712 7150 3085 7150 3714 7150 3715 7151 3708 7151 3713 7151 3716 7152 3713 7152 3708 7152 3086 7153 3715 7153 3713 7153 3714 7154 3713 7154 3716 7154 3717 7155 3707 7155 3708 7155 3715 7156 3717 7156 3708 7156 3716 7157 3708 7157 3709 7157 3703 7158 3718 7158 3719 7158 3720 7159 3719 7159 3718 7159 3721 7160 3719 7160 3722 7160 3723 7161 3722 7161 3719 7161 3721 7162 3724 7162 3719 7162 3703 7163 3719 7163 3724 7163 3723 7164 3719 7164 3720 7164 3703 7165 3710 7165 3718 7165 3725 7166 3718 7166 3710 7166 3725 7167 3720 7167 3718 7167 3726 7168 3710 7168 3707 7168 3725 7169 3710 7169 3726 7169 3727 7170 3728 7170 3707 7170 3729 7171 3707 7171 3728 7171 3717 7172 3727 7172 3707 7172 3726 7173 3707 7173 3729 7173 3730 7174 3722 7174 3728 7174 3731 7175 3728 7175 3722 7175 3727 7176 3730 7176 3728 7176 3729 7177 3728 7177 3731 7177 3732 7178 3721 7178 3722 7178 3730 7179 3732 7179 3722 7179 3731 7180 3722 7180 3723 7180 3703 7181 3733 7181 3734 7181 3735 7182 3734 7182 3733 7182 3736 7183 3734 7183 3737 7183 3738 7184 3737 7184 3734 7184 3736 7185 3739 7185 3734 7185 3703 7186 3734 7186 3739 7186 3738 7187 3734 7187 3735 7187 3703 7188 3724 7188 3733 7188 3740 7189 3733 7189 3724 7189 3740 7190 3735 7190 3733 7190 3741 7191 3724 7191 3721 7191 3740 7192 3724 7192 3741 7192 3742 7193 3743 7193 3721 7193 3744 7194 3721 7194 3743 7194 3732 7195 3742 7195 3721 7195 3741 7196 3721 7196 3744 7196 3745 7197 3737 7197 3743 7197 3746 7198 3743 7198 3737 7198 3742 7199 3745 7199 3743 7199 3744 7200 3743 7200 3746 7200 3747 7201 3736 7201 3737 7201 3745 7202 3747 7202 3737 7202 3746 7203 3737 7203 3738 7203 3703 7204 3748 7204 3749 7204 3750 7205 3749 7205 3748 7205 3751 7206 3749 7206 3752 7206 3753 7207 3752 7207 3749 7207 3751 7208 3754 7208 3749 7208 3703 7209 3749 7209 3754 7209 3753 7210 3749 7210 3750 7210 3703 7211 3739 7211 3748 7211 3755 7212 3748 7212 3739 7212 3755 7213 3750 7213 3748 7213 3756 7214 3739 7214 3736 7214 3755 7215 3739 7215 3756 7215 3757 7216 3758 7216 3736 7216 3759 7217 3736 7217 3758 7217 3747 7218 3757 7218 3736 7218 3756 7219 3736 7219 3759 7219 3760 7220 3752 7220 3758 7220 3761 7221 3758 7221 3752 7221 3757 7222 3760 7222 3758 7222 3759 7223 3758 7223 3761 7223 3762 7224 3751 7224 3752 7224 3760 7225 3762 7225 3752 7225 3761 7226 3752 7226 3753 7226 3763 7227 3764 7227 3765 7227 3766 7228 3765 7228 3764 7228 3767 7229 3765 7229 3768 7229 3769 7230 3768 7230 3765 7230 3767 7231 3770 7231 3765 7231 3763 7232 3765 7232 3770 7232 3769 7233 3765 7233 3766 7233 3703 7234 3754 7234 3764 7234 3771 7235 3764 7235 3754 7235 3703 7236 3764 7236 3763 7236 3771 7237 3766 7237 3764 7237 3772 7238 3754 7238 3751 7238 3771 7239 3754 7239 3772 7239 3773 7240 3774 7240 3751 7240 3775 7241 3751 7241 3774 7241 3762 7242 3773 7242 3751 7242 3772 7243 3751 7243 3775 7243 3776 7244 3768 7244 3774 7244 3777 7245 3774 7245 3768 7245 3773 7246 3776 7246 3774 7246 3775 7247 3774 7247 3777 7247 3778 7248 3767 7248 3768 7248 3776 7249 3778 7249 3768 7249 3777 7250 3768 7250 3769 7250 3763 7251 3779 7251 3780 7251 3781 7252 3780 7252 3779 7252 3782 7253 3780 7253 3783 7253 3784 7254 3783 7254 3780 7254 3763 7255 3780 7255 3782 7255 3784 7256 3780 7256 3781 7256 3763 7257 3770 7257 3779 7257 3785 7258 3779 7258 3770 7258 3785 7259 3781 7259 3779 7259 3786 7260 3770 7260 3767 7260 3785 7261 3770 7261 3786 7261 3787 7262 3788 7262 3767 7262 3789 7263 3767 7263 3788 7263 3778 7264 3787 7264 3767 7264 3786 7265 3767 7265 3789 7265 3790 7266 3783 7266 3788 7266 3791 7267 3788 7267 3783 7267 3787 7268 3790 7268 3788 7268 3789 7269 3788 7269 3791 7269 3790 7270 3782 7270 3783 7270 3791 7271 3783 7271 3784 7271 3763 7272 3792 7272 3793 7272 3794 7273 3793 7273 3792 7273 3795 7274 3793 7274 3778 7274 3796 7275 3778 7275 3793 7275 3763 7276 3793 7276 3795 7276 3796 7277 3793 7277 3794 7277 3763 7278 3782 7278 3792 7278 3797 7279 3792 7279 3782 7279 3797 7280 3794 7280 3792 7280 3798 7281 3782 7281 3790 7281 3797 7282 3782 7282 3798 7282 3799 7283 3790 7283 3787 7283 3798 7284 3790 7284 3799 7284 3800 7285 3787 7285 3778 7285 3799 7286 3787 7286 3800 7286 3776 7287 3795 7287 3778 7287 3800 7288 3778 7288 3796 7288 3763 7289 3801 7289 3802 7289 3803 7290 3802 7290 3801 7290 3804 7291 3802 7291 3762 7291 3805 7292 3762 7292 3802 7292 3763 7293 3802 7293 3804 7293 3805 7294 3802 7294 3803 7294 3763 7295 3795 7295 3801 7295 3806 7296 3801 7296 3795 7296 3806 7297 3803 7297 3801 7297 3807 7298 3795 7298 3776 7298 3806 7299 3795 7299 3807 7299 3808 7300 3776 7300 3773 7300 3807 7301 3776 7301 3808 7301 3809 7302 3773 7302 3762 7302 3808 7303 3773 7303 3809 7303 3760 7304 3804 7304 3762 7304 3809 7305 3762 7305 3805 7305 3763 7306 3810 7306 3811 7306 3812 7307 3811 7307 3810 7307 3813 7308 3811 7308 3747 7308 3814 7309 3747 7309 3811 7309 3763 7310 3811 7310 3813 7310 3814 7311 3811 7311 3812 7311 3763 7312 3804 7312 3810 7312 3815 7313 3810 7313 3804 7313 3815 7314 3812 7314 3810 7314 3816 7315 3804 7315 3760 7315 3815 7316 3804 7316 3816 7316 3817 7317 3760 7317 3757 7317 3816 7318 3760 7318 3817 7318 3818 7319 3757 7319 3747 7319 3817 7320 3757 7320 3818 7320 3745 7321 3813 7321 3747 7321 3818 7322 3747 7322 3814 7322 3819 7323 3820 7323 3821 7323 3822 7324 3821 7324 3820 7324 3823 7325 3821 7325 3732 7325 3824 7326 3732 7326 3821 7326 3819 7327 3821 7327 3823 7327 3824 7328 3821 7328 3822 7328 3819 7329 3813 7329 3820 7329 3825 7330 3820 7330 3813 7330 3825 7331 3822 7331 3820 7331 3826 7332 3813 7332 3745 7332 3819 7333 3763 7333 3813 7333 3825 7334 3813 7334 3826 7334 3827 7335 3745 7335 3742 7335 3826 7336 3745 7336 3827 7336 3828 7337 3742 7337 3732 7337 3827 7338 3742 7338 3828 7338 3730 7339 3823 7339 3732 7339 3828 7340 3732 7340 3824 7340 3819 7341 3829 7341 3830 7341 3831 7342 3830 7342 3829 7342 3832 7343 3830 7343 3717 7343 3833 7344 3717 7344 3830 7344 3819 7345 3830 7345 3832 7345 3833 7346 3830 7346 3831 7346 3819 7347 3823 7347 3829 7347 3834 7348 3829 7348 3823 7348 3834 7349 3831 7349 3829 7349 3835 7350 3823 7350 3730 7350 3834 7351 3823 7351 3835 7351 3836 7352 3730 7352 3727 7352 3835 7353 3730 7353 3836 7353 3837 7354 3727 7354 3717 7354 3836 7355 3727 7355 3837 7355 3715 7356 3832 7356 3717 7356 3837 7357 3717 7357 3833 7357 3819 7358 3838 7358 3839 7358 3840 7359 3839 7359 3838 7359 3841 7360 3839 7360 3071 7360 3842 7361 3071 7361 3839 7361 3819 7362 3839 7362 3841 7362 3842 7363 3839 7363 3840 7363 3819 7364 3832 7364 3838 7364 3843 7365 3838 7365 3832 7365 3843 7366 3840 7366 3838 7366 3844 7367 3832 7367 3715 7367 3843 7368 3832 7368 3844 7368 3845 7369 3715 7369 3086 7369 3844 7370 3715 7370 3845 7370 3846 7371 3086 7371 3071 7371 3845 7372 3086 7372 3846 7372 3074 7373 3841 7373 3071 7373 3846 7374 3071 7374 3842 7374 3819 7375 3847 7375 3848 7375 3849 7376 3848 7376 3847 7376 3850 7377 3848 7377 3076 7377 3851 7378 3076 7378 3848 7378 3819 7379 3848 7379 3850 7379 3851 7380 3848 7380 3849 7380 3819 7381 3841 7381 3847 7381 3852 7382 3847 7382 3841 7382 3852 7383 3849 7383 3847 7383 3853 7384 3841 7384 3074 7384 3852 7385 3841 7385 3853 7385 3854 7386 3074 7386 3075 7386 3853 7387 3074 7387 3854 7387 3855 7388 3075 7388 3076 7388 3854 7389 3075 7389 3855 7389 3077 7390 3850 7390 3076 7390 3855 7391 3076 7391 3851 7391 3856 7392 3857 7392 3858 7392 3859 7393 3858 7393 3857 7393 3860 7394 3858 7394 3058 7394 3861 7395 3058 7395 3858 7395 3856 7396 3858 7396 3860 7396 3861 7397 3858 7397 3859 7397 3819 7398 3850 7398 3857 7398 3862 7399 3857 7399 3850 7399 3856 7400 3819 7400 3857 7400 3862 7401 3859 7401 3857 7401 3863 7402 3850 7402 3077 7402 3862 7403 3850 7403 3863 7403 3864 7404 3077 7404 3078 7404 3863 7405 3077 7405 3864 7405 3865 7406 3078 7406 3058 7406 3864 7407 3078 7407 3865 7407 3061 7408 3860 7408 3058 7408 3865 7409 3058 7409 3861 7409 3856 7410 3866 7410 3867 7410 3868 7411 3867 7411 3866 7411 3869 7412 3867 7412 3063 7412 3870 7413 3063 7413 3867 7413 3856 7414 3867 7414 3869 7414 3870 7415 3867 7415 3868 7415 3856 7416 3860 7416 3866 7416 3871 7417 3866 7417 3860 7417 3871 7418 3868 7418 3866 7418 3872 7419 3860 7419 3061 7419 3871 7420 3860 7420 3872 7420 3873 7421 3061 7421 3062 7421 3872 7422 3061 7422 3873 7422 3874 7423 3062 7423 3063 7423 3873 7424 3062 7424 3874 7424 3064 7425 3869 7425 3063 7425 3874 7426 3063 7426 3870 7426 3856 7427 3875 7427 3876 7427 3877 7428 3876 7428 3875 7428 3878 7429 3876 7429 3066 7429 3879 7430 3066 7430 3876 7430 3856 7431 3876 7431 3878 7431 3879 7432 3876 7432 3877 7432 3856 7433 3869 7433 3875 7433 3880 7434 3875 7434 3869 7434 3880 7435 3877 7435 3875 7435 3881 7436 3869 7436 3064 7436 3880 7437 3869 7437 3881 7437 3882 7438 3064 7438 3065 7438 3881 7439 3064 7439 3882 7439 3883 7440 3065 7440 3066 7440 3882 7441 3065 7441 3883 7441 3067 7442 3878 7442 3066 7442 3883 7443 3066 7443 3879 7443 3856 7444 3884 7444 3885 7444 3886 7445 3885 7445 3884 7445 3070 7446 3885 7446 3069 7446 3887 7447 3069 7447 3885 7447 3070 7448 3888 7448 3885 7448 3856 7449 3885 7449 3888 7449 3887 7450 3885 7450 3886 7450 3856 7451 3878 7451 3884 7451 3889 7452 3884 7452 3878 7452 3889 7453 3886 7453 3884 7453 3890 7454 3878 7454 3067 7454 3889 7455 3878 7455 3890 7455 3891 7456 3067 7456 3068 7456 3890 7457 3067 7457 3891 7457 3892 7458 3068 7458 3069 7458 3891 7459 3068 7459 3892 7459 3892 7460 3069 7460 3887 7460 3856 7461 3893 7461 3894 7461 3895 7462 3894 7462 3893 7462 3050 7463 3894 7463 3049 7463 3896 7464 3049 7464 3894 7464 3050 7465 3897 7465 3894 7465 3856 7466 3894 7466 3897 7466 3896 7467 3894 7467 3895 7467 3856 7468 3888 7468 3893 7468 3898 7469 3893 7469 3888 7469 3898 7470 3895 7470 3893 7470 3899 7471 3888 7471 3070 7471 3898 7472 3888 7472 3899 7472 3900 7473 3070 7473 3046 7473 3899 7474 3070 7474 3900 7474 3901 7475 3046 7475 3049 7475 3900 7476 3046 7476 3901 7476 3901 7477 3049 7477 3896 7477 3902 7478 3903 7478 3904 7478 3905 7479 3904 7479 3903 7479 3053 7480 3904 7480 3052 7480 3906 7481 3052 7481 3904 7481 3053 7482 3907 7482 3904 7482 3902 7483 3904 7483 3907 7483 3906 7484 3904 7484 3905 7484 3902 7485 3897 7485 3903 7485 3908 7486 3903 7486 3897 7486 3908 7487 3905 7487 3903 7487 3909 7488 3897 7488 3050 7488 3902 7489 3856 7489 3897 7489 3908 7490 3897 7490 3909 7490 3910 7491 3050 7491 3051 7491 3909 7492 3050 7492 3910 7492 3911 7493 3051 7493 3052 7493 3910 7494 3051 7494 3911 7494 3911 7495 3052 7495 3906 7495 3902 7496 3912 7496 3913 7496 3914 7497 3913 7497 3912 7497 3056 7498 3913 7498 3055 7498 3915 7499 3055 7499 3913 7499 3056 7500 3916 7500 3913 7500 3902 7501 3913 7501 3916 7501 3915 7502 3913 7502 3914 7502 3902 7503 3907 7503 3912 7503 3917 7504 3912 7504 3907 7504 3917 7505 3914 7505 3912 7505 3918 7506 3907 7506 3053 7506 3917 7507 3907 7507 3918 7507 3919 7508 3053 7508 3054 7508 3918 7509 3053 7509 3919 7509 3920 7510 3054 7510 3055 7510 3919 7511 3054 7511 3920 7511 3920 7512 3055 7512 3915 7512 3902 7513 3921 7513 3922 7513 3923 7514 3922 7514 3921 7514 3042 7515 3922 7515 3037 7515 3924 7516 3037 7516 3922 7516 3042 7517 3925 7517 3922 7517 3902 7518 3922 7518 3925 7518 3924 7519 3922 7519 3923 7519 3902 7520 3916 7520 3921 7520 3926 7521 3921 7521 3916 7521 3926 7522 3923 7522 3921 7522 3927 7523 3916 7523 3056 7523 3926 7524 3916 7524 3927 7524 3928 7525 3056 7525 3057 7525 3927 7526 3056 7526 3928 7526 3929 7527 3057 7527 3037 7527 3928 7528 3057 7528 3929 7528 3929 7529 3037 7529 3924 7529 3902 7530 3930 7530 3931 7530 3932 7531 3931 7531 3930 7531 3045 7532 3931 7532 3044 7532 3933 7533 3044 7533 3931 7533 3045 7534 3934 7534 3931 7534 3902 7535 3931 7535 3934 7535 3933 7536 3931 7536 3932 7536 3902 7537 3925 7537 3930 7537 3935 7538 3930 7538 3925 7538 3935 7539 3932 7539 3930 7539 3936 7540 3925 7540 3042 7540 3935 7541 3925 7541 3936 7541 3937 7542 3042 7542 3043 7542 3936 7543 3042 7543 3937 7543 3938 7544 3043 7544 3044 7544 3937 7545 3043 7545 3938 7545 3938 7546 3044 7546 3933 7546 3939 7547 3940 7547 3941 7547 3942 7548 3941 7548 3940 7548 3599 7549 3941 7549 3601 7549 3943 7550 3601 7550 3941 7550 3599 7551 3944 7551 3941 7551 3939 7552 3941 7552 3944 7552 3943 7553 3941 7553 3942 7553 3902 7554 3934 7554 3940 7554 3945 7555 3940 7555 3934 7555 3939 7556 3902 7556 3940 7556 3945 7557 3942 7557 3940 7557 3946 7558 3934 7558 3045 7558 3945 7559 3934 7559 3946 7559 3947 7560 3045 7560 3041 7560 3946 7561 3045 7561 3947 7561 3948 7562 3041 7562 3601 7562 3947 7563 3041 7563 3948 7563 3948 7564 3601 7564 3943 7564 3939 7565 3949 7565 3950 7565 3951 7566 3950 7566 3949 7566 3584 7567 3950 7567 3587 7567 3952 7568 3587 7568 3950 7568 3584 7569 3953 7569 3950 7569 3939 7570 3950 7570 3953 7570 3952 7571 3950 7571 3951 7571 3939 7572 3944 7572 3949 7572 3954 7573 3949 7573 3944 7573 3954 7574 3951 7574 3949 7574 3955 7575 3944 7575 3599 7575 3954 7576 3944 7576 3955 7576 3956 7577 3599 7577 3596 7577 3955 7578 3599 7578 3956 7578 3957 7579 3596 7579 3587 7579 3956 7580 3596 7580 3957 7580 3957 7581 3587 7581 3952 7581 3939 7582 3958 7582 3959 7582 3960 7583 3959 7583 3958 7583 3569 7584 3959 7584 3572 7584 3961 7585 3572 7585 3959 7585 3569 7586 3962 7586 3959 7586 3939 7587 3959 7587 3962 7587 3961 7588 3959 7588 3960 7588 3939 7589 3953 7589 3958 7589 3963 7590 3958 7590 3953 7590 3963 7591 3960 7591 3958 7591 3964 7592 3953 7592 3584 7592 3963 7593 3953 7593 3964 7593 3965 7594 3584 7594 3581 7594 3964 7595 3584 7595 3965 7595 3966 7596 3581 7596 3572 7596 3965 7597 3581 7597 3966 7597 3966 7598 3572 7598 3961 7598 3939 7599 3967 7599 3968 7599 3969 7600 3968 7600 3967 7600 3553 7601 3968 7601 3556 7601 3970 7602 3556 7602 3968 7602 3553 7603 3971 7603 3968 7603 3939 7604 3968 7604 3971 7604 3970 7605 3968 7605 3969 7605 3939 7606 3962 7606 3967 7606 3972 7607 3967 7607 3962 7607 3972 7608 3969 7608 3967 7608 3973 7609 3962 7609 3569 7609 3972 7610 3962 7610 3973 7610 3974 7611 3569 7611 3566 7611 3973 7612 3569 7612 3974 7612 3975 7613 3566 7613 3556 7613 3974 7614 3566 7614 3975 7614 3975 7615 3556 7615 3970 7615 3939 7616 3976 7616 3977 7616 3978 7617 3977 7617 3976 7617 3538 7618 3977 7618 3541 7618 3979 7619 3541 7619 3977 7619 3538 7620 3980 7620 3977 7620 3939 7621 3977 7621 3980 7621 3979 7622 3977 7622 3978 7622 3939 7623 3971 7623 3976 7623 3981 7624 3976 7624 3971 7624 3981 7625 3978 7625 3976 7625 3982 7626 3971 7626 3553 7626 3981 7627 3971 7627 3982 7627 3983 7628 3553 7628 3550 7628 3982 7629 3553 7629 3983 7629 3984 7630 3550 7630 3541 7630 3983 7631 3550 7631 3984 7631 3984 7632 3541 7632 3979 7632 3510 7633 3985 7633 3519 7633 3986 7634 3519 7634 3985 7634 3987 7635 3524 7635 3519 7635 3987 7636 3519 7636 3986 7636 3510 7637 3980 7637 3985 7637 3988 7638 3985 7638 3980 7638 3988 7639 3986 7639 3985 7639 3989 7640 3980 7640 3538 7640 3510 7641 3939 7641 3980 7641 3988 7642 3980 7642 3989 7642 3990 7643 3538 7643 3535 7643 3989 7644 3538 7644 3990 7644 3991 7645 3535 7645 3524 7645 3990 7646 3535 7646 3991 7646 3991 7647 3524 7647 3987 7647 3992 7648 3763 7648 3819 7648 3993 7649 3703 7649 3763 7649 3993 7650 3763 7650 3992 7650 3994 7651 3819 7651 3856 7651 3992 7652 3819 7652 3994 7652 3995 7653 3856 7653 3902 7653 3994 7654 3856 7654 3995 7654 3996 7655 3902 7655 3939 7655 3995 7656 3902 7656 3996 7656 3997 7657 3939 7657 3510 7657 3996 7658 3939 7658 3997 7658 3998 7659 3510 7659 3557 7659 3997 7660 3510 7660 3998 7660 3999 7661 3557 7661 3620 7661 3999 7662 3998 7662 3557 7662 4000 7663 3620 7663 3657 7663 3999 7664 3620 7664 4000 7664 4001 7665 3657 7665 3703 7665 4000 7666 3657 7666 4001 7666 4001 7667 3703 7667 3993 7667 4002 7668 3277 7668 3238 7668 4003 7669 3338 7669 3277 7669 4003 7670 3277 7670 4002 7670 4004 7671 3238 7671 3195 7671 4004 7672 4002 7672 3238 7672 4005 7673 3195 7673 3156 7673 4004 7674 3195 7674 4005 7674 4006 7675 3156 7675 3129 7675 4005 7676 3156 7676 4006 7676 4007 7677 3129 7677 3125 7677 4006 7678 3129 7678 4007 7678 4008 7679 3125 7679 3442 7679 4007 7680 3125 7680 4008 7680 4009 7681 3442 7681 3402 7681 4008 7682 3442 7682 4009 7682 4010 7683 3402 7683 3361 7683 4009 7684 3402 7684 4010 7684 4011 7685 3361 7685 3338 7685 4010 7686 3361 7686 4011 7686 4011 7687 3338 7687 4003 7687 4012 7688 2839 7688 2850 7688 2842 7689 2839 7689 4012 7689 4013 7690 2850 7690 2859 7690 4013 7691 4012 7691 2850 7691 4013 7692 2859 7692 2868 7692 4014 7693 2868 7693 2877 7693 4014 7694 4013 7694 2868 7694 4015 7695 2877 7695 2885 7695 4015 7696 4014 7696 2877 7696 4015 7697 2885 7697 2894 7697 4016 7698 2894 7698 2903 7698 4016 7699 4015 7699 2894 7699 4016 7700 2903 7700 2912 7700 4017 7701 2912 7701 2920 7701 4017 7702 4016 7702 2912 7702 4018 7703 2920 7703 2930 7703 4018 7704 4017 7704 2920 7704 2939 7705 4018 7705 2930 7705 4019 7706 4012 7706 4013 7706 2842 7707 4012 7707 4020 7707 4021 7708 4020 7708 4012 7708 4021 7709 4012 7709 4019 7709 4022 7710 4013 7710 4014 7710 4022 7711 4019 7711 4013 7711 4023 7712 4014 7712 4015 7712 4023 7713 4022 7713 4014 7713 4024 7714 4015 7714 4016 7714 4024 7715 4023 7715 4015 7715 4025 7716 4016 7716 4017 7716 4025 7717 4024 7717 4016 7717 4026 7718 4017 7718 4018 7718 4026 7719 4025 7719 4017 7719 2939 7720 4027 7720 4018 7720 4028 7721 4018 7721 4027 7721 4028 7722 4026 7722 4018 7722 2956 7723 4029 7723 4027 7723 4030 7724 4027 7724 4029 7724 2948 7725 2956 7725 4027 7725 2939 7726 2948 7726 4027 7726 4030 7727 4028 7727 4027 7727 2965 7728 4031 7728 4029 7728 4032 7729 4029 7729 4031 7729 2956 7730 2965 7730 4029 7730 4030 7731 4029 7731 4032 7731 2983 7732 4033 7732 4031 7732 4034 7733 4031 7733 4033 7733 2974 7734 2983 7734 4031 7734 2965 7735 2974 7735 4031 7735 4032 7736 4031 7736 4034 7736 3000 7737 4020 7737 4033 7737 4035 7738 4033 7738 4020 7738 2991 7739 3000 7739 4033 7739 2983 7740 2991 7740 4033 7740 4034 7741 4033 7741 4035 7741 3000 7742 2842 7742 4020 7742 4035 7743 4020 7743 4021 7743 4036 7744 4019 7744 4022 7744 4037 7745 4021 7745 4019 7745 4038 7746 4037 7746 4019 7746 4036 7747 4038 7747 4019 7747 4039 7748 4022 7748 4023 7748 4040 7749 4036 7749 4022 7749 4041 7750 4040 7750 4022 7750 4039 7751 4041 7751 4022 7751 4025 7752 4023 7752 4024 7752 4026 7753 4023 7753 4025 7753 4042 7754 4023 7754 4026 7754 4042 7755 4039 7755 4023 7755 4043 7756 4026 7756 4028 7756 4044 7757 4042 7757 4026 7757 4043 7758 4044 7758 4026 7758 4045 7759 4028 7759 4030 7759 4046 7760 4028 7760 4045 7760 4046 7761 4043 7761 4028 7761 4032 7762 4035 7762 4021 7762 4047 7763 4032 7763 4021 7763 4048 7764 4047 7764 4021 7764 4037 7765 4048 7765 4021 7765 4032 7766 4034 7766 4035 7766 4049 7767 4030 7767 4032 7767 4047 7768 4049 7768 4032 7768 4050 7769 4045 7769 4030 7769 4051 7770 4050 7770 4030 7770 4049 7771 4051 7771 4030 7771 4052 7772 4045 7772 4050 7772 4053 7773 4046 7773 4045 7773 4052 7774 4053 7774 4045 7774 4054 7775 4050 7775 4051 7775 4054 7776 4055 7776 4050 7776 4052 7777 4050 7777 4055 7777 4056 7778 4051 7778 4049 7778 4054 7779 4051 7779 4056 7779 4057 7780 4049 7780 4047 7780 4056 7781 4049 7781 4057 7781 4058 7782 4047 7782 4048 7782 4057 7783 4047 7783 4058 7783 4059 7784 4048 7784 4037 7784 4060 7785 4048 7785 4059 7785 4058 7786 4048 7786 4060 7786 4061 7787 4037 7787 4038 7787 4059 7788 4037 7788 4061 7788 4061 7789 4038 7789 4036 7789 4062 7790 4036 7790 4040 7790 4062 7791 4061 7791 4036 7791 4063 7792 4040 7792 4041 7792 4064 7793 4040 7793 4063 7793 4062 7794 4040 7794 4064 7794 4065 7795 4041 7795 4039 7795 4063 7796 4041 7796 4065 7796 4066 7797 4039 7797 4042 7797 4065 7798 4039 7798 4066 7798 4067 7799 4042 7799 4044 7799 4066 7800 4042 7800 4067 7800 4068 7801 4044 7801 4043 7801 4069 7802 4044 7802 4068 7802 4067 7803 4044 7803 4069 7803 4053 7804 4043 7804 4046 7804 4068 7805 4043 7805 4053 7805 4070 7806 4053 7806 4055 7806 4052 7807 4055 7807 4053 7807 4071 7808 4070 7808 4055 7808 4054 7809 4071 7809 4055 7809 4070 7810 4068 7810 4053 7810 4072 7811 4069 7811 4068 7811 4070 7812 4072 7812 4068 7812 4072 7813 4067 7813 4069 7813 4073 7814 4066 7814 4067 7814 4072 7815 4073 7815 4067 7815 4073 7816 4065 7816 4066 7816 4073 7817 4063 7817 4065 7817 4074 7818 4064 7818 4063 7818 4073 7819 4074 7819 4063 7819 4075 7820 4064 7820 4074 7820 4075 7821 4061 7821 4064 7821 4062 7822 4064 7822 4061 7822 4076 7823 4074 7823 4073 7823 4077 7824 4074 7824 4076 7824 4075 7825 4074 7825 4077 7825 4078 7826 4073 7826 4072 7826 4078 7827 4076 7827 4073 7827 4079 7828 4072 7828 4070 7828 4078 7829 4072 7829 4079 7829 4080 7830 4070 7830 4071 7830 4079 7831 4070 7831 4080 7831 4080 7832 4071 7832 4081 7832 4082 7833 4081 7833 4071 7833 4082 7834 4071 7834 4054 7834 4083 7835 4084 7835 4085 7835 4086 7836 4085 7836 4084 7836 4081 7837 4085 7837 4087 7837 4088 7838 4087 7838 4085 7838 4081 7839 4083 7839 4085 7839 4088 7840 4085 7840 4086 7840 4083 7841 4089 7841 4084 7841 4090 7842 4084 7842 4089 7842 4091 7843 4086 7843 4084 7843 4091 7844 4084 7844 4090 7844 4077 7845 4092 7845 4089 7845 4093 7846 4089 7846 4092 7846 4094 7847 4077 7847 4089 7847 4083 7848 4094 7848 4089 7848 4090 7849 4089 7849 4093 7849 4076 7850 4095 7850 4092 7850 4096 7851 4092 7851 4095 7851 4077 7852 4076 7852 4092 7852 4097 7853 4092 7853 4096 7853 4093 7854 4092 7854 4097 7854 4078 7855 4098 7855 4095 7855 4099 7856 4095 7856 4098 7856 4078 7857 4095 7857 4076 7857 4096 7858 4095 7858 4099 7858 4078 7859 4100 7859 4098 7859 4101 7860 4098 7860 4100 7860 4102 7861 4098 7861 4101 7861 4099 7862 4098 7862 4102 7862 4080 7863 4087 7863 4100 7863 4103 7864 4100 7864 4087 7864 4079 7865 4080 7865 4100 7865 4078 7866 4079 7866 4100 7866 4101 7867 4100 7867 4103 7867 4080 7868 4081 7868 4087 7868 4104 7869 4087 7869 4088 7869 4103 7870 4087 7870 4104 7870 4075 7871 4077 7871 4094 7871 4105 7872 4094 7872 4083 7872 4075 7873 4094 7873 4105 7873 4082 7874 4083 7874 4081 7874 4105 7875 4083 7875 4082 7875 4075 7876 4059 7876 4061 7876 4105 7877 4060 7877 4059 7877 4075 7878 4105 7878 4059 7878 4105 7879 4058 7879 4060 7879 4082 7880 4057 7880 4058 7880 4105 7881 4082 7881 4058 7881 4082 7882 4056 7882 4057 7882 4082 7883 4054 7883 4056 7883 2386 7884 3016 7884 3031 7884 4106 7885 3019 7885 3016 7885 4106 7886 3016 7886 2386 7886 4107 7887 3031 7887 3039 7887 4108 7888 3031 7888 4107 7888 2386 7889 3031 7889 4108 7889 2408 7890 3039 7890 3048 7890 4107 7891 3039 7891 2408 7891 4109 7892 3048 7892 3060 7892 4110 7893 3048 7893 4109 7893 2408 7894 3048 7894 4110 7894 2401 7895 3060 7895 3073 7895 4109 7896 3060 7896 2401 7896 4111 7897 3073 7897 3080 7897 4112 7898 2401 7898 3073 7898 4112 7899 3073 7899 4111 7899 2394 7900 3080 7900 3019 7900 4111 7901 3080 7901 2394 7901 4113 7902 3019 7902 4106 7902 2394 7903 3019 7903 4113 7903 4108 7904 4088 7904 4086 7904 2386 7905 4108 7905 4086 7905 4091 7906 2386 7906 4086 7906 4108 7907 4104 7907 4088 7907 2408 7908 4103 7908 4104 7908 4107 7909 2408 7909 4104 7909 4108 7910 4107 7910 4104 7910 4110 7911 4101 7911 4103 7911 2408 7912 4110 7912 4103 7912 4109 7913 4102 7913 4101 7913 4110 7914 4109 7914 4101 7914 2401 7915 4099 7915 4102 7915 4109 7916 2401 7916 4102 7916 4112 7917 4099 7917 2401 7917 4112 7918 4096 7918 4099 7918 4106 7919 2386 7919 4091 7919 4112 7920 4097 7920 4096 7920 2394 7921 4093 7921 4097 7921 4111 7922 2394 7922 4097 7922 4112 7923 4111 7923 4097 7923 4113 7924 4090 7924 4093 7924 2394 7925 4113 7925 4093 7925 4106 7926 4091 7926 4090 7926 4113 7927 4106 7927 4090 7927 3106 7928 3099 7928 3097 7928 3104 7929 3106 7929 3097 7929 3102 7930 3104 7930 3097 7930 3100 7931 3102 7931 3097 7931 3117 7932 3110 7932 3108 7932 3115 7933 3117 7933 3108 7933 3112 7934 3115 7934 3108 7934 3111 7935 3112 7935 3108 7935 3130 7936 3122 7936 3120 7936 3127 7937 3130 7937 3120 7937 3124 7938 3127 7938 3120 7938 3123 7939 3124 7939 3120 7939 3139 7940 3134 7940 3132 7940 3138 7941 3139 7941 3132 7941 3136 7942 3138 7942 3132 7942 3135 7943 3136 7943 3132 7943 3147 7944 3142 7944 3141 7944 3146 7945 3147 7945 3141 7945 3144 7946 3146 7946 3141 7946 3143 7947 3144 7947 3141 7947 3157 7948 3151 7948 3149 7948 3155 7949 3157 7949 3149 7949 3153 7950 3155 7950 3149 7950 3152 7951 3153 7951 3149 7951 3166 7952 3161 7952 3159 7952 3165 7953 3166 7953 3159 7953 3163 7954 3165 7954 3159 7954 3162 7955 3163 7955 3159 7955 3175 7956 3170 7956 3168 7956 3174 7957 3175 7957 3168 7957 3172 7958 3174 7958 3168 7958 3171 7959 3172 7959 3168 7959 3184 7960 3179 7960 3177 7960 3183 7961 3184 7961 3177 7961 3181 7962 3183 7962 3177 7962 3180 7963 3181 7963 3177 7963 3193 7964 3188 7964 3186 7964 3192 7965 3193 7965 3186 7965 3190 7966 3192 7966 3186 7966 3189 7967 3190 7967 3186 7967 3203 7968 3198 7968 3196 7968 3202 7969 3203 7969 3196 7969 3200 7970 3202 7970 3196 7970 3199 7971 3200 7971 3196 7971 3213 7972 3208 7972 3205 7972 3212 7973 3213 7973 3205 7973 3210 7974 3212 7974 3205 7974 3209 7975 3210 7975 3205 7975 3222 7976 3217 7976 3214 7976 3221 7977 3222 7977 3214 7977 3219 7978 3221 7978 3214 7978 3218 7979 3219 7979 3214 7979 3231 7980 3226 7980 3223 7980 3230 7981 3231 7981 3223 7981 3228 7982 3230 7982 3223 7982 3227 7983 3228 7983 3223 7983 3241 7984 3235 7984 3232 7984 3240 7985 3241 7985 3232 7985 3237 7986 3240 7986 3232 7986 3236 7987 3237 7987 3232 7987 3250 7988 3245 7988 3242 7988 3249 7989 3250 7989 3242 7989 3247 7990 3249 7990 3242 7990 3246 7991 3247 7991 3242 7991 3259 7992 3254 7992 3251 7992 3258 7993 3259 7993 3251 7993 3256 7994 3258 7994 3251 7994 3255 7995 3256 7995 3251 7995 3268 7996 3263 7996 3260 7996 3267 7997 3268 7997 3260 7997 3265 7998 3267 7998 3260 7998 3264 7999 3265 7999 3260 7999 3278 8000 3272 8000 3269 8000 3276 8001 3278 8001 3269 8001 3274 8002 3276 8002 3269 8002 3273 8003 3274 8003 3269 8003 3287 8004 3282 8004 3279 8004 3286 8005 3287 8005 3279 8005 3284 8006 3286 8006 3279 8006 3283 8007 3284 8007 3279 8007 3296 8008 3291 8008 3288 8008 3295 8009 3296 8009 3288 8009 3293 8010 3295 8010 3288 8010 3292 8011 3293 8011 3288 8011 3308 8012 3300 8012 3297 8012 3305 8013 3308 8013 3297 8013 3302 8014 3305 8014 3297 8014 3301 8015 3302 8015 3297 8015 3319 8016 3312 8016 3310 8016 3317 8017 3319 8017 3310 8017 3314 8018 3317 8018 3310 8018 3313 8019 3314 8019 3310 8019 3325 8020 3321 8020 3320 8020 3324 8021 3325 8021 3320 8021 3323 8022 3324 8022 3320 8022 3322 8023 3323 8023 3320 8023 3331 8024 3327 8024 3326 8024 3330 8025 3331 8025 3326 8025 3329 8026 3330 8026 3326 8026 3328 8027 3329 8027 3326 8027 3341 8028 3335 8028 3333 8028 3340 8029 3341 8029 3333 8029 3337 8030 3340 8030 3333 8030 3336 8031 3337 8031 3333 8031 3350 8032 3345 8032 3343 8032 3349 8033 3350 8033 3343 8033 3347 8034 3349 8034 3343 8034 3346 8035 3347 8035 3343 8035 3359 8036 3354 8036 3352 8036 3358 8037 3359 8037 3352 8037 3356 8038 3358 8038 3352 8038 3355 8039 3356 8039 3352 8039 3369 8040 3364 8040 3362 8040 3368 8041 3369 8041 3362 8041 3366 8042 3368 8042 3362 8042 3365 8043 3366 8043 3362 8043 3378 8044 3373 8044 3371 8044 3377 8045 3378 8045 3371 8045 3375 8046 3377 8046 3371 8046 3374 8047 3375 8047 3371 8047 3387 8048 3382 8048 3380 8048 3386 8049 3387 8049 3380 8049 3384 8050 3386 8050 3380 8050 3383 8051 3384 8051 3380 8051 3395 8052 3390 8052 3389 8052 3394 8053 3395 8053 3389 8053 3392 8054 3394 8054 3389 8054 3391 8055 3392 8055 3389 8055 3405 8056 3398 8056 3396 8056 3404 8057 3405 8057 3396 8057 3401 8058 3404 8058 3396 8058 3399 8059 3401 8059 3396 8059 3415 8060 3410 8060 3407 8060 3414 8061 3415 8061 3407 8061 3412 8062 3414 8062 3407 8062 3411 8063 3412 8063 3407 8063 3424 8064 3419 8064 3416 8064 3423 8065 3424 8065 3416 8065 3421 8066 3423 8066 3416 8066 3420 8067 3421 8067 3416 8067 3433 8068 3428 8068 3425 8068 3432 8069 3433 8069 3425 8069 3430 8070 3432 8070 3425 8070 3429 8071 3430 8071 3425 8071 3443 8072 3437 8072 3434 8072 3441 8073 3443 8073 3434 8073 3439 8074 3441 8074 3434 8074 3438 8075 3439 8075 3434 8075 3452 8076 3447 8076 3444 8076 3451 8077 3452 8077 3444 8077 3449 8078 3451 8078 3444 8078 3448 8079 3449 8079 3444 8079 3461 8080 3456 8080 3453 8080 3460 8081 3461 8081 3453 8081 3458 8082 3460 8082 3453 8082 3457 8083 3458 8083 3453 8083 3470 8084 3465 8084 3462 8084 3469 8085 3470 8085 3462 8085 3467 8086 3469 8086 3462 8086 3466 8087 3467 8087 3462 8087 3479 8088 3474 8088 3471 8088 3478 8089 3479 8089 3471 8089 3476 8090 3478 8090 3471 8090 3475 8091 3476 8091 3471 8091 3488 8092 3483 8092 3480 8092 3487 8093 3488 8093 3480 8093 3485 8094 3487 8094 3480 8094 3484 8095 3485 8095 3480 8095 3497 8096 3492 8096 3489 8096 3496 8097 3497 8097 3489 8097 3494 8098 3496 8098 3489 8098 3493 8099 3494 8099 3489 8099 3503 8100 3499 8100 3498 8100 3502 8101 3503 8101 3498 8101 3501 8102 3502 8102 3498 8102 3500 8103 3501 8103 3498 8103 3509 8104 3505 8104 3504 8104 3508 8105 3509 8105 3504 8105 3507 8106 3508 8106 3504 8106 3506 8107 3507 8107 3504 8107 3525 8108 3516 8108 3513 8108 3523 8109 3525 8109 3513 8109 3521 8110 3523 8110 3513 8110 3518 8111 3521 8111 3513 8111 3539 8112 3532 8112 3529 8112 3537 8113 3539 8113 3529 8113 3534 8114 3537 8114 3529 8114 3533 8115 3534 8115 3529 8115 3554 8116 3547 8116 3544 8116 3552 8117 3554 8117 3544 8117 3549 8118 3552 8118 3544 8118 3548 8119 3549 8119 3544 8119 3570 8120 3563 8120 3560 8120 3568 8121 3570 8121 3560 8121 3565 8122 3568 8122 3560 8122 3564 8123 3565 8123 3560 8123 3585 8124 3578 8124 3575 8124 3583 8125 3585 8125 3575 8125 3580 8126 3583 8126 3575 8126 3579 8127 3580 8127 3575 8127 3600 8128 3593 8128 3590 8128 3598 8129 3600 8129 3590 8129 3595 8130 3598 8130 3590 8130 3594 8131 3595 8131 3590 8131 3610 8132 3606 8132 3604 8132 3609 8133 3610 8133 3604 8133 3608 8134 3609 8134 3604 8134 3607 8135 3608 8135 3604 8135 3619 8136 3615 8136 3613 8136 3618 8137 3619 8137 3613 8137 3617 8138 3618 8138 3613 8138 3616 8139 3617 8139 3613 8139 3629 8140 3625 8140 3623 8140 3628 8141 3629 8141 3623 8141 3627 8142 3628 8142 3623 8142 3626 8143 3627 8143 3623 8143 3638 8144 3634 8144 3632 8144 3637 8145 3638 8145 3632 8145 3636 8146 3637 8146 3632 8146 3635 8147 3636 8147 3632 8147 3647 8148 3643 8148 3641 8148 3646 8149 3647 8149 3641 8149 3645 8150 3646 8150 3641 8150 3644 8151 3645 8151 3641 8151 3656 8152 3651 8152 3650 8152 3655 8153 3656 8153 3650 8153 3654 8154 3655 8154 3650 8154 3653 8155 3654 8155 3650 8155 3666 8156 3661 8156 3660 8156 3665 8157 3666 8157 3660 8157 3664 8158 3665 8158 3660 8158 3663 8159 3664 8159 3660 8159 3675 8160 3670 8160 3669 8160 3674 8161 3675 8161 3669 8161 3673 8162 3674 8162 3669 8162 3672 8163 3673 8163 3669 8163 3684 8164 3679 8164 3678 8164 3683 8165 3684 8165 3678 8165 3682 8166 3683 8166 3678 8166 3681 8167 3682 8167 3678 8167 3693 8168 3688 8168 3687 8168 3692 8169 3693 8169 3687 8169 3691 8170 3692 8170 3687 8170 3690 8171 3691 8171 3687 8171 3702 8172 3697 8172 3696 8172 3701 8173 3702 8173 3696 8173 3700 8174 3701 8174 3696 8174 3699 8175 3700 8175 3696 8175 3716 8176 3709 8176 3706 8176 3714 8177 3716 8177 3706 8177 3712 8178 3714 8178 3706 8178 3711 8179 3712 8179 3706 8179 3731 8180 3723 8180 3720 8180 3729 8181 3731 8181 3720 8181 3726 8182 3729 8182 3720 8182 3725 8183 3726 8183 3720 8183 3746 8184 3738 8184 3735 8184 3744 8185 3746 8185 3735 8185 3741 8186 3744 8186 3735 8186 3740 8187 3741 8187 3735 8187 3761 8188 3753 8188 3750 8188 3759 8189 3761 8189 3750 8189 3756 8190 3759 8190 3750 8190 3755 8191 3756 8191 3750 8191 3777 8192 3769 8192 3766 8192 3775 8193 3777 8193 3766 8193 3772 8194 3775 8194 3766 8194 3771 8195 3772 8195 3766 8195 3791 8196 3784 8196 3781 8196 3789 8197 3791 8197 3781 8197 3786 8198 3789 8198 3781 8198 3785 8199 3786 8199 3781 8199 3800 8200 3796 8200 3794 8200 3799 8201 3800 8201 3794 8201 3798 8202 3799 8202 3794 8202 3797 8203 3798 8203 3794 8203 3809 8204 3805 8204 3803 8204 3808 8205 3809 8205 3803 8205 3807 8206 3808 8206 3803 8206 3806 8207 3807 8207 3803 8207 3818 8208 3814 8208 3812 8208 3817 8209 3818 8209 3812 8209 3816 8210 3817 8210 3812 8210 3815 8211 3816 8211 3812 8211 3828 8212 3824 8212 3822 8212 3827 8213 3828 8213 3822 8213 3826 8214 3827 8214 3822 8214 3825 8215 3826 8215 3822 8215 3837 8216 3833 8216 3831 8216 3836 8217 3837 8217 3831 8217 3835 8218 3836 8218 3831 8218 3834 8219 3835 8219 3831 8219 3846 8220 3842 8220 3840 8220 3845 8221 3846 8221 3840 8221 3844 8222 3845 8222 3840 8222 3843 8223 3844 8223 3840 8223 3855 8224 3851 8224 3849 8224 3854 8225 3855 8225 3849 8225 3853 8226 3854 8226 3849 8226 3852 8227 3853 8227 3849 8227 3865 8228 3861 8228 3859 8228 3864 8229 3865 8229 3859 8229 3863 8230 3864 8230 3859 8230 3862 8231 3863 8231 3859 8231 3874 8232 3870 8232 3868 8232 3873 8233 3874 8233 3868 8233 3872 8234 3873 8234 3868 8234 3871 8235 3872 8235 3868 8235 3883 8236 3879 8236 3877 8236 3882 8237 3883 8237 3877 8237 3881 8238 3882 8238 3877 8238 3880 8239 3881 8239 3877 8239 3892 8240 3887 8240 3886 8240 3891 8241 3892 8241 3886 8241 3890 8242 3891 8242 3886 8242 3889 8243 3890 8243 3886 8243 3901 8244 3896 8244 3895 8244 3900 8245 3901 8245 3895 8245 3899 8246 3900 8246 3895 8246 3898 8247 3899 8247 3895 8247 3911 8248 3906 8248 3905 8248 3910 8249 3911 8249 3905 8249 3909 8250 3910 8250 3905 8250 3908 8251 3909 8251 3905 8251 3920 8252 3915 8252 3914 8252 3919 8253 3920 8253 3914 8253 3918 8254 3919 8254 3914 8254 3917 8255 3918 8255 3914 8255 3929 8256 3924 8256 3923 8256 3928 8257 3929 8257 3923 8257 3927 8258 3928 8258 3923 8258 3926 8259 3927 8259 3923 8259 3938 8260 3933 8260 3932 8260 3937 8261 3938 8261 3932 8261 3936 8262 3937 8262 3932 8262 3935 8263 3936 8263 3932 8263 3948 8264 3943 8264 3942 8264 3947 8265 3948 8265 3942 8265 3946 8266 3947 8266 3942 8266 3945 8267 3946 8267 3942 8267 3957 8268 3952 8268 3951 8268 3956 8269 3957 8269 3951 8269 3955 8270 3956 8270 3951 8270 3954 8271 3955 8271 3951 8271 3966 8272 3961 8272 3960 8272 3965 8273 3966 8273 3960 8273 3964 8274 3965 8274 3960 8274 3963 8275 3964 8275 3960 8275 3975 8276 3970 8276 3969 8276 3974 8277 3975 8277 3969 8277 3973 8278 3974 8278 3969 8278 3972 8279 3973 8279 3969 8279 3984 8280 3979 8280 3978 8280 3983 8281 3984 8281 3978 8281 3982 8282 3983 8282 3978 8282 3981 8283 3982 8283 3978 8283 3991 8284 3987 8284 3986 8284 3990 8285 3991 8285 3986 8285 3989 8286 3990 8286 3986 8286 3988 8287 3989 8287 3986 8287 4004 8288 3997 8288 3998 8288 4002 8289 3998 8289 3999 8289 4004 8290 3998 8290 4002 8290 4004 8291 3996 8291 3997 8291 4005 8292 3995 8292 3996 8292 4004 8293 4005 8293 3996 8293 4007 8294 3994 8294 3995 8294 4006 8295 4007 8295 3995 8295 4005 8296 4006 8296 3995 8296 4008 8297 3992 8297 3994 8297 4007 8298 4008 8298 3994 8298 4009 8299 3993 8299 3992 8299 4008 8300 4009 8300 3992 8300 4009 8301 4001 8301 3993 8301 4010 8302 4000 8302 4001 8302 4009 8303 4010 8303 4001 8303 4003 8304 3999 8304 4000 8304 4011 8305 4003 8305 4000 8305 4010 8306 4011 8306 4000 8306 4003 8307 4002 8307 3999 8307 4114 8308 4115 8308 4116 8308 4117 8309 4116 8309 4115 8309 4118 8310 4116 8310 4119 8310 4120 8311 4119 8311 4116 8311 4114 8312 4116 8312 4118 8312 4117 8313 4120 8313 4116 8313 4121 8314 4122 8314 4115 8314 4123 8315 4115 8315 4122 8315 4124 8316 4121 8316 4115 8316 4114 8317 4124 8317 4115 8317 4123 8318 4117 8318 4115 8318 4125 8319 4119 8319 4122 8319 4126 8320 4122 8320 4119 8320 4121 8321 4125 8321 4122 8321 4123 8322 4122 8322 4126 8322 4127 8323 4118 8323 4119 8323 4125 8324 4127 8324 4119 8324 4120 8325 4126 8325 4119 8325 4128 8326 4118 8326 4127 8326 4129 8327 4114 8327 4118 8327 4128 8328 4129 8328 4118 8328 4130 8329 4127 8329 4125 8329 4131 8330 4127 8330 4130 8330 4128 8331 4127 8331 4131 8331 4132 8332 4125 8332 4121 8332 4130 8333 4125 8333 4132 8333 4133 8334 4121 8334 4124 8334 4133 8335 4132 8335 4121 8335 4134 8336 4124 8336 4114 8336 4134 8337 4135 8337 4124 8337 4133 8338 4124 8338 4135 8338 4134 8339 4114 8339 4129 8339 4136 8340 4126 8340 4120 8340 4136 8341 4137 8341 4126 8341 4123 8342 4126 8342 4137 8342 4138 8343 4120 8343 4117 8343 4138 8344 4136 8344 4120 8344 4138 8345 4117 8345 4139 8345 4123 8346 4139 8346 4117 8346 4123 8347 4137 8347 4139 8347 4140 8348 4139 8348 4137 8348 4141 8349 4138 8349 4139 8349 4140 8350 4141 8350 4139 8350 4142 8351 4137 8351 4136 8351 4142 8352 4140 8352 4137 8352 4143 8353 4136 8353 4138 8353 4142 8354 4136 8354 4143 8354 4141 8355 4143 8355 4138 8355 4140 8356 4143 8356 4141 8356 4142 8357 4143 8357 4140 8357 4144 8358 4145 8358 4146 8358 4147 8359 4146 8359 4145 8359 4148 8360 4146 8360 4149 8360 4150 8361 4149 8361 4146 8361 4148 8362 4144 8362 4146 8362 4150 8363 4146 8363 4147 8363 4151 8364 4152 8364 4145 8364 4153 8365 4145 8365 4152 8365 4151 8366 4145 8366 4144 8366 4153 8367 4147 8367 4145 8367 4154 8368 4155 8368 4152 8368 4156 8369 4152 8369 4155 8369 4151 8370 4154 8370 4152 8370 4153 8371 4152 8371 4156 8371 4157 8372 4158 8372 4155 8372 4159 8373 4155 8373 4158 8373 4154 8374 4157 8374 4155 8374 4156 8375 4155 8375 4159 8375 4160 8376 4149 8376 4158 8376 4161 8377 4158 8377 4149 8377 4157 8378 4160 8378 4158 8378 4159 8379 4158 8379 4161 8379 4160 8380 4148 8380 4149 8380 4161 8381 4149 8381 4150 8381 4162 8382 4144 8382 4148 8382 4163 8383 4151 8383 4144 8383 4163 8384 4144 8384 4162 8384 4164 8385 4148 8385 4160 8385 4164 8386 4162 8386 4148 8386 4165 8387 4160 8387 4157 8387 4164 8388 4160 8388 4165 8388 4166 8389 4157 8389 4154 8389 4165 8390 4157 8390 4166 8390 4167 8391 4154 8391 4151 8391 4166 8392 4154 8392 4167 8392 4167 8393 4151 8393 4163 8393 4130 8394 4150 8394 4147 8394 4131 8395 4130 8395 4147 8395 4153 8396 4131 8396 4147 8396 4132 8397 4161 8397 4150 8397 4130 8398 4132 8398 4150 8398 4135 8399 4159 8399 4161 8399 4132 8400 4135 8400 4161 8400 4134 8401 4159 8401 4135 8401 4156 8402 4159 8402 4134 8402 4133 8403 4135 8403 4132 8403 4153 8404 4129 8404 4131 8404 4128 8405 4131 8405 4129 8405 4156 8406 4134 8406 4129 8406 4153 8407 4156 8407 4129 8407 4167 8408 4163 8408 4162 8408 4164 8409 4167 8409 4162 8409 4164 8410 4166 8410 4167 8410 4164 8411 4165 8411 4166 8411 4168 8412 4169 8412 4170 8412 4171 8413 4170 8413 4169 8413 4172 8414 4170 8414 4173 8414 4174 8415 4173 8415 4170 8415 4168 8416 4170 8416 4172 8416 4171 8417 4174 8417 4170 8417 4175 8418 4176 8418 4169 8418 4177 8419 4169 8419 4176 8419 4178 8420 4175 8420 4169 8420 4168 8421 4178 8421 4169 8421 4177 8422 4171 8422 4169 8422 4179 8423 4173 8423 4176 8423 4180 8424 4176 8424 4173 8424 4175 8425 4179 8425 4176 8425 4177 8426 4176 8426 4180 8426 4181 8427 4172 8427 4173 8427 4179 8428 4181 8428 4173 8428 4174 8429 4180 8429 4173 8429 4182 8430 4172 8430 4181 8430 4183 8431 4168 8431 4172 8431 4182 8432 4183 8432 4172 8432 4184 8433 4181 8433 4179 8433 4185 8434 4181 8434 4184 8434 4182 8435 4181 8435 4185 8435 4186 8436 4179 8436 4175 8436 4184 8437 4179 8437 4186 8437 4187 8438 4175 8438 4178 8438 4187 8439 4186 8439 4175 8439 4188 8440 4178 8440 4168 8440 4188 8441 4189 8441 4178 8441 4187 8442 4178 8442 4189 8442 4188 8443 4168 8443 4183 8443 4190 8444 4180 8444 4174 8444 4190 8445 4191 8445 4180 8445 4177 8446 4180 8446 4191 8446 4192 8447 4174 8447 4171 8447 4192 8448 4190 8448 4174 8448 4192 8449 4171 8449 4193 8449 4177 8450 4193 8450 4171 8450 4177 8451 4191 8451 4193 8451 4194 8452 4193 8452 4191 8452 4195 8453 4192 8453 4193 8453 4194 8454 4195 8454 4193 8454 4196 8455 4191 8455 4190 8455 4196 8456 4194 8456 4191 8456 4197 8457 4190 8457 4192 8457 4196 8458 4190 8458 4197 8458 4195 8459 4197 8459 4192 8459 4194 8460 4197 8460 4195 8460 4196 8461 4197 8461 4194 8461 4198 8462 4199 8462 4200 8462 4201 8463 4200 8463 4199 8463 4202 8464 4200 8464 4203 8464 4204 8465 4203 8465 4200 8465 4202 8466 4198 8466 4200 8466 4204 8467 4200 8467 4201 8467 4205 8468 4206 8468 4199 8468 4207 8469 4199 8469 4206 8469 4205 8470 4199 8470 4198 8470 4207 8471 4201 8471 4199 8471 4208 8472 4209 8472 4206 8472 4210 8473 4206 8473 4209 8473 4205 8474 4208 8474 4206 8474 4207 8475 4206 8475 4210 8475 4211 8476 4212 8476 4209 8476 4213 8477 4209 8477 4212 8477 4208 8478 4211 8478 4209 8478 4210 8479 4209 8479 4213 8479 4214 8480 4203 8480 4212 8480 4215 8481 4212 8481 4203 8481 4211 8482 4214 8482 4212 8482 4213 8483 4212 8483 4215 8483 4214 8484 4202 8484 4203 8484 4215 8485 4203 8485 4204 8485 4216 8486 4198 8486 4202 8486 4217 8487 4205 8487 4198 8487 4217 8488 4198 8488 4216 8488 4218 8489 4202 8489 4214 8489 4218 8490 4216 8490 4202 8490 4219 8491 4214 8491 4211 8491 4218 8492 4214 8492 4219 8492 4220 8493 4211 8493 4208 8493 4219 8494 4211 8494 4220 8494 4221 8495 4208 8495 4205 8495 4220 8496 4208 8496 4221 8496 4221 8497 4205 8497 4217 8497 4184 8498 4204 8498 4201 8498 4185 8499 4184 8499 4201 8499 4207 8500 4185 8500 4201 8500 4186 8501 4215 8501 4204 8501 4184 8502 4186 8502 4204 8502 4189 8503 4213 8503 4215 8503 4186 8504 4189 8504 4215 8504 4188 8505 4213 8505 4189 8505 4210 8506 4213 8506 4188 8506 4187 8507 4189 8507 4186 8507 4207 8508 4183 8508 4185 8508 4182 8509 4185 8509 4183 8509 4210 8510 4188 8510 4183 8510 4207 8511 4210 8511 4183 8511 4221 8512 4217 8512 4216 8512 4218 8513 4221 8513 4216 8513 4218 8514 4220 8514 4221 8514 4218 8515 4219 8515 4220 8515 4222 8516 4223 8516 4224 8516 4225 8517 4224 8517 4223 8517 4226 8518 4224 8518 4227 8518 4228 8519 4227 8519 4224 8519 4222 8520 4224 8520 4226 8520 4225 8521 4228 8521 4224 8521 4229 8522 4230 8522 4223 8522 4231 8523 4223 8523 4230 8523 4232 8524 4229 8524 4223 8524 4222 8525 4232 8525 4223 8525 4231 8526 4225 8526 4223 8526 4233 8527 4227 8527 4230 8527 4234 8528 4230 8528 4227 8528 4229 8529 4233 8529 4230 8529 4231 8530 4230 8530 4234 8530 4235 8531 4226 8531 4227 8531 4233 8532 4235 8532 4227 8532 4228 8533 4234 8533 4227 8533 4236 8534 4226 8534 4235 8534 4237 8535 4222 8535 4226 8535 4236 8536 4237 8536 4226 8536 4238 8537 4235 8537 4233 8537 4239 8538 4235 8538 4238 8538 4236 8539 4235 8539 4239 8539 4240 8540 4233 8540 4229 8540 4238 8541 4233 8541 4240 8541 4241 8542 4229 8542 4232 8542 4241 8543 4240 8543 4229 8543 4242 8544 4232 8544 4222 8544 4242 8545 4243 8545 4232 8545 4241 8546 4232 8546 4243 8546 4242 8547 4222 8547 4237 8547 4244 8548 4234 8548 4228 8548 4244 8549 4245 8549 4234 8549 4231 8550 4234 8550 4245 8550 4246 8551 4228 8551 4225 8551 4246 8552 4244 8552 4228 8552 4246 8553 4225 8553 4247 8553 4231 8554 4247 8554 4225 8554 4231 8555 4245 8555 4247 8555 4248 8556 4247 8556 4245 8556 4249 8557 4246 8557 4247 8557 4248 8558 4249 8558 4247 8558 4250 8559 4245 8559 4244 8559 4250 8560 4248 8560 4245 8560 4251 8561 4244 8561 4246 8561 4250 8562 4244 8562 4251 8562 4249 8563 4251 8563 4246 8563 4248 8564 4251 8564 4249 8564 4250 8565 4251 8565 4248 8565 4252 8566 4253 8566 4254 8566 4255 8567 4254 8567 4253 8567 4256 8568 4254 8568 4257 8568 4258 8569 4257 8569 4254 8569 4256 8570 4252 8570 4254 8570 4258 8571 4254 8571 4255 8571 4259 8572 4260 8572 4253 8572 4261 8573 4253 8573 4260 8573 4259 8574 4253 8574 4252 8574 4261 8575 4255 8575 4253 8575 4262 8576 4263 8576 4260 8576 4264 8577 4260 8577 4263 8577 4259 8578 4262 8578 4260 8578 4261 8579 4260 8579 4264 8579 4265 8580 4266 8580 4263 8580 4267 8581 4263 8581 4266 8581 4262 8582 4265 8582 4263 8582 4264 8583 4263 8583 4267 8583 4268 8584 4257 8584 4266 8584 4269 8585 4266 8585 4257 8585 4265 8586 4268 8586 4266 8586 4267 8587 4266 8587 4269 8587 4268 8588 4256 8588 4257 8588 4269 8589 4257 8589 4258 8589 4270 8590 4252 8590 4256 8590 4271 8591 4259 8591 4252 8591 4271 8592 4252 8592 4270 8592 4272 8593 4256 8593 4268 8593 4272 8594 4270 8594 4256 8594 4273 8595 4268 8595 4265 8595 4272 8596 4268 8596 4273 8596 4274 8597 4265 8597 4262 8597 4273 8598 4265 8598 4274 8598 4275 8599 4262 8599 4259 8599 4274 8600 4262 8600 4275 8600 4275 8601 4259 8601 4271 8601 4238 8602 4258 8602 4255 8602 4239 8603 4238 8603 4255 8603 4261 8604 4239 8604 4255 8604 4240 8605 4269 8605 4258 8605 4238 8606 4240 8606 4258 8606 4243 8607 4267 8607 4269 8607 4240 8608 4243 8608 4269 8608 4242 8609 4267 8609 4243 8609 4264 8610 4267 8610 4242 8610 4241 8611 4243 8611 4240 8611 4261 8612 4237 8612 4239 8612 4236 8613 4239 8613 4237 8613 4264 8614 4242 8614 4237 8614 4261 8615 4264 8615 4237 8615 4275 8616 4271 8616 4270 8616 4272 8617 4275 8617 4270 8617 4272 8618 4274 8618 4275 8618 4272 8619 4273 8619 4274 8619 4276 8620 4277 8620 4278 8620 4279 8621 4278 8621 4277 8621 4280 8622 4278 8622 4281 8622 4282 8623 4281 8623 4278 8623 4276 8624 4278 8624 4280 8624 4279 8625 4282 8625 4278 8625 4283 8626 4284 8626 4277 8626 4285 8627 4277 8627 4284 8627 4286 8628 4283 8628 4277 8628 4276 8629 4286 8629 4277 8629 4285 8630 4279 8630 4277 8630 4287 8631 4281 8631 4284 8631 4288 8632 4284 8632 4281 8632 4283 8633 4287 8633 4284 8633 4285 8634 4284 8634 4288 8634 4289 8635 4280 8635 4281 8635 4287 8636 4289 8636 4281 8636 4282 8637 4288 8637 4281 8637 4290 8638 4280 8638 4289 8638 4291 8639 4276 8639 4280 8639 4290 8640 4291 8640 4280 8640 4292 8641 4289 8641 4287 8641 4293 8642 4289 8642 4292 8642 4290 8643 4289 8643 4293 8643 4294 8644 4287 8644 4283 8644 4292 8645 4287 8645 4294 8645 4295 8646 4283 8646 4286 8646 4295 8647 4294 8647 4283 8647 4296 8648 4286 8648 4276 8648 4296 8649 4297 8649 4286 8649 4295 8650 4286 8650 4297 8650 4296 8651 4276 8651 4291 8651 4298 8652 4288 8652 4282 8652 4298 8653 4299 8653 4288 8653 4285 8654 4288 8654 4299 8654 4300 8655 4282 8655 4279 8655 4300 8656 4298 8656 4282 8656 4300 8657 4279 8657 4301 8657 4285 8658 4301 8658 4279 8658 4285 8659 4299 8659 4301 8659 4302 8660 4301 8660 4299 8660 4303 8661 4300 8661 4301 8661 4302 8662 4303 8662 4301 8662 4304 8663 4299 8663 4298 8663 4304 8664 4302 8664 4299 8664 4305 8665 4298 8665 4300 8665 4304 8666 4298 8666 4305 8666 4303 8667 4305 8667 4300 8667 4302 8668 4305 8668 4303 8668 4304 8669 4305 8669 4302 8669 4306 8670 4307 8670 4308 8670 4309 8671 4308 8671 4307 8671 4310 8672 4308 8672 4311 8672 4312 8673 4311 8673 4308 8673 4310 8674 4306 8674 4308 8674 4312 8675 4308 8675 4309 8675 4313 8676 4314 8676 4307 8676 4315 8677 4307 8677 4314 8677 4313 8678 4307 8678 4306 8678 4315 8679 4309 8679 4307 8679 4316 8680 4317 8680 4314 8680 4318 8681 4314 8681 4317 8681 4313 8682 4316 8682 4314 8682 4315 8683 4314 8683 4318 8683 4319 8684 4320 8684 4317 8684 4321 8685 4317 8685 4320 8685 4316 8686 4319 8686 4317 8686 4318 8687 4317 8687 4321 8687 4322 8688 4311 8688 4320 8688 4323 8689 4320 8689 4311 8689 4319 8690 4322 8690 4320 8690 4321 8691 4320 8691 4323 8691 4322 8692 4310 8692 4311 8692 4323 8693 4311 8693 4312 8693 4324 8694 4306 8694 4310 8694 4325 8695 4313 8695 4306 8695 4325 8696 4306 8696 4324 8696 4326 8697 4310 8697 4322 8697 4326 8698 4324 8698 4310 8698 4327 8699 4322 8699 4319 8699 4326 8700 4322 8700 4327 8700 4328 8701 4319 8701 4316 8701 4327 8702 4319 8702 4328 8702 4329 8703 4316 8703 4313 8703 4328 8704 4316 8704 4329 8704 4329 8705 4313 8705 4325 8705 4292 8706 4312 8706 4309 8706 4293 8707 4292 8707 4309 8707 4315 8708 4293 8708 4309 8708 4294 8709 4323 8709 4312 8709 4292 8710 4294 8710 4312 8710 4297 8711 4321 8711 4323 8711 4294 8712 4297 8712 4323 8712 4296 8713 4321 8713 4297 8713 4318 8714 4321 8714 4296 8714 4295 8715 4297 8715 4294 8715 4315 8716 4291 8716 4293 8716 4290 8717 4293 8717 4291 8717 4318 8718 4296 8718 4291 8718 4315 8719 4318 8719 4291 8719 4329 8720 4325 8720 4324 8720 4326 8721 4329 8721 4324 8721 4326 8722 4328 8722 4329 8722 4326 8723 4327 8723 4328 8723 4330 8724 4331 8724 4332 8724 4333 8725 4332 8725 4331 8725 4334 8726 4332 8726 4335 8726 4336 8727 4335 8727 4332 8727 4334 8728 4337 8728 4332 8728 4330 8729 4332 8729 4337 8729 4333 8730 4336 8730 4332 8730 4338 8731 4339 8731 4331 8731 4340 8732 4331 8732 4339 8732 4341 8733 4338 8733 4331 8733 4330 8734 4341 8734 4331 8734 4340 8735 4333 8735 4331 8735 4338 8736 4342 8736 4339 8736 4343 8737 4339 8737 4342 8737 4343 8738 4340 8738 4339 8738 4344 8739 4342 8739 4338 8739 4344 8740 4343 8740 4342 8740 4345 8741 4338 8741 4341 8741 4345 8742 4344 8742 4338 8742 4346 8743 4347 8743 4341 8743 4348 8744 4341 8744 4347 8744 4330 8745 4346 8745 4341 8745 4348 8746 4345 8746 4341 8746 4349 8747 4350 8747 4347 8747 4351 8748 4347 8748 4350 8748 4352 8749 4349 8749 4347 8749 4346 8750 4352 8750 4347 8750 4348 8751 4347 8751 4351 8751 4353 8752 4354 8752 4350 8752 4355 8753 4350 8753 4354 8753 4335 8754 4353 8754 4350 8754 4349 8755 4335 8755 4350 8755 4355 8756 4351 8756 4350 8756 4353 8757 4356 8757 4354 8757 4357 8758 4354 8758 4356 8758 4357 8759 4355 8759 4354 8759 4358 8760 4356 8760 4353 8760 4358 8761 4357 8761 4356 8761 4359 8762 4353 8762 4335 8762 4359 8763 4358 8763 4353 8763 4349 8764 4334 8764 4335 8764 4336 8765 4359 8765 4335 8765 4360 8766 4337 8766 4334 8766 4361 8767 4330 8767 4337 8767 4360 8768 4361 8768 4337 8768 4362 8769 4334 8769 4349 8769 4360 8770 4334 8770 4362 8770 4363 8771 4349 8771 4352 8771 4362 8772 4349 8772 4363 8772 4364 8773 4352 8773 4346 8773 4363 8774 4352 8774 4364 8774 4365 8775 4346 8775 4330 8775 4364 8776 4346 8776 4365 8776 4365 8777 4330 8777 4361 8777 4366 8778 4351 8778 4355 8778 4367 8779 4351 8779 4366 8779 4367 8780 4348 8780 4351 8780 4366 8781 4355 8781 4357 8781 4368 8782 4357 8782 4358 8782 4368 8783 4366 8783 4357 8783 4368 8784 4358 8784 4359 8784 4369 8785 4359 8785 4336 8785 4369 8786 4368 8786 4359 8786 4369 8787 4336 8787 4333 8787 4370 8788 4369 8788 4333 8788 4340 8789 4370 8789 4333 8789 4371 8790 4366 8790 4368 8790 4372 8791 4366 8791 4371 8791 4367 8792 4366 8792 4372 8792 4373 8793 4368 8793 4369 8793 4373 8794 4371 8794 4368 8794 4374 8795 4369 8795 4370 8795 4374 8796 4373 8796 4369 8796 4375 8797 4374 8797 4370 8797 4376 8798 4375 8798 4370 8798 4343 8799 4370 8799 4340 8799 4376 8800 4370 8800 4343 8800 4377 8801 4371 8801 4373 8801 4377 8802 4378 8802 4371 8802 4372 8803 4371 8803 4378 8803 4379 8804 4373 8804 4374 8804 4380 8805 4377 8805 4373 8805 4379 8806 4380 8806 4373 8806 4379 8807 4374 8807 4375 8807 4379 8808 4375 8808 4381 8808 4382 8809 4381 8809 4375 8809 4376 8810 4382 8810 4375 8810 4382 8811 4383 8811 4381 8811 4384 8812 4381 8812 4383 8812 4385 8813 4379 8813 4381 8813 4384 8814 4385 8814 4381 8814 4382 8815 4378 8815 4383 8815 4386 8816 4383 8816 4378 8816 4386 8817 4384 8817 4383 8817 4387 8818 4378 8818 4377 8818 4382 8819 4372 8819 4378 8819 4386 8820 4378 8820 4387 8820 4388 8821 4377 8821 4380 8821 4387 8822 4377 8822 4388 8822 4389 8823 4380 8823 4379 8823 4389 8824 4388 8824 4380 8824 4385 8825 4389 8825 4379 8825 4367 8826 4372 8826 4382 8826 4367 8827 4382 8827 4376 8827 4384 8828 4388 8828 4389 8828 4386 8829 4388 8829 4384 8829 4386 8830 4387 8830 4388 8830 4384 8831 4389 8831 4385 8831 4376 8832 4343 8832 4344 8832 4376 8833 4344 8833 4345 8833 4367 8834 4345 8834 4348 8834 4367 8835 4376 8835 4345 8835 4364 8836 4365 8836 4361 8836 4360 8837 4364 8837 4361 8837 4360 8838 4363 8838 4364 8838 4360 8839 4362 8839 4363 8839 4390 8840 4391 8840 4392 8840 4393 8841 4392 8841 4391 8841 4394 8842 4392 8842 4395 8842 4396 8843 4395 8843 4392 8843 4394 8844 4397 8844 4392 8844 4390 8845 4392 8845 4397 8845 4393 8846 4396 8846 4392 8846 4398 8847 4399 8847 4391 8847 4400 8848 4391 8848 4399 8848 4401 8849 4398 8849 4391 8849 4390 8850 4401 8850 4391 8850 4400 8851 4393 8851 4391 8851 4398 8852 4402 8852 4399 8852 4403 8853 4399 8853 4402 8853 4403 8854 4400 8854 4399 8854 4404 8855 4402 8855 4398 8855 4404 8856 4403 8856 4402 8856 4405 8857 4398 8857 4401 8857 4405 8858 4404 8858 4398 8858 4406 8859 4407 8859 4401 8859 4408 8860 4401 8860 4407 8860 4390 8861 4406 8861 4401 8861 4408 8862 4405 8862 4401 8862 4409 8863 4410 8863 4407 8863 4411 8864 4407 8864 4410 8864 4412 8865 4409 8865 4407 8865 4406 8866 4412 8866 4407 8866 4408 8867 4407 8867 4411 8867 4413 8868 4414 8868 4410 8868 4415 8869 4410 8869 4414 8869 4395 8870 4413 8870 4410 8870 4409 8871 4395 8871 4410 8871 4415 8872 4411 8872 4410 8872 4413 8873 4416 8873 4414 8873 4417 8874 4414 8874 4416 8874 4417 8875 4415 8875 4414 8875 4418 8876 4416 8876 4413 8876 4418 8877 4417 8877 4416 8877 4419 8878 4413 8878 4395 8878 4419 8879 4418 8879 4413 8879 4409 8880 4394 8880 4395 8880 4396 8881 4419 8881 4395 8881 4420 8882 4397 8882 4394 8882 4421 8883 4390 8883 4397 8883 4420 8884 4421 8884 4397 8884 4422 8885 4394 8885 4409 8885 4420 8886 4394 8886 4422 8886 4423 8887 4409 8887 4412 8887 4422 8888 4409 8888 4423 8888 4424 8889 4412 8889 4406 8889 4423 8890 4412 8890 4424 8890 4425 8891 4406 8891 4390 8891 4424 8892 4406 8892 4425 8892 4425 8893 4390 8893 4421 8893 4426 8894 4411 8894 4415 8894 4427 8895 4411 8895 4426 8895 4427 8896 4408 8896 4411 8896 4426 8897 4415 8897 4417 8897 4428 8898 4417 8898 4418 8898 4428 8899 4426 8899 4417 8899 4428 8900 4418 8900 4419 8900 4429 8901 4419 8901 4396 8901 4429 8902 4428 8902 4419 8902 4429 8903 4396 8903 4393 8903 4430 8904 4429 8904 4393 8904 4400 8905 4430 8905 4393 8905 4431 8906 4426 8906 4428 8906 4432 8907 4426 8907 4431 8907 4427 8908 4426 8908 4432 8908 4433 8909 4428 8909 4429 8909 4433 8910 4431 8910 4428 8910 4434 8911 4429 8911 4430 8911 4434 8912 4433 8912 4429 8912 4435 8913 4434 8913 4430 8913 4436 8914 4435 8914 4430 8914 4403 8915 4430 8915 4400 8915 4436 8916 4430 8916 4403 8916 4437 8917 4431 8917 4433 8917 4437 8918 4438 8918 4431 8918 4432 8919 4431 8919 4438 8919 4439 8920 4433 8920 4434 8920 4440 8921 4437 8921 4433 8921 4439 8922 4440 8922 4433 8922 4439 8923 4434 8923 4435 8923 4439 8924 4435 8924 4441 8924 4442 8925 4441 8925 4435 8925 4436 8926 4442 8926 4435 8926 4442 8927 4443 8927 4441 8927 4444 8928 4441 8928 4443 8928 4445 8929 4439 8929 4441 8929 4444 8930 4445 8930 4441 8930 4442 8931 4438 8931 4443 8931 4446 8932 4443 8932 4438 8932 4446 8933 4444 8933 4443 8933 4447 8934 4438 8934 4437 8934 4442 8935 4432 8935 4438 8935 4446 8936 4438 8936 4447 8936 4448 8937 4437 8937 4440 8937 4447 8938 4437 8938 4448 8938 4449 8939 4440 8939 4439 8939 4449 8940 4448 8940 4440 8940 4445 8941 4449 8941 4439 8941 4427 8942 4432 8942 4442 8942 4427 8943 4442 8943 4436 8943 4444 8944 4448 8944 4449 8944 4446 8945 4448 8945 4444 8945 4446 8946 4447 8946 4448 8946 4444 8947 4449 8947 4445 8947 4436 8948 4403 8948 4404 8948 4436 8949 4404 8949 4405 8949 4427 8950 4405 8950 4408 8950 4427 8951 4436 8951 4405 8951 4424 8952 4425 8952 4421 8952 4420 8953 4424 8953 4421 8953 4420 8954 4423 8954 4424 8954 4420 8955 4422 8955 4423 8955 4450 8956 4451 8956 4452 8956 4453 8957 4452 8957 4451 8957 4454 8958 4452 8958 4455 8958 4456 8959 4455 8959 4452 8959 4454 8960 4457 8960 4452 8960 4450 8961 4452 8961 4457 8961 4453 8962 4456 8962 4452 8962 4458 8963 4459 8963 4451 8963 4460 8964 4451 8964 4459 8964 4461 8965 4458 8965 4451 8965 4450 8966 4461 8966 4451 8966 4460 8967 4453 8967 4451 8967 4458 8968 4462 8968 4459 8968 4463 8969 4459 8969 4462 8969 4463 8970 4460 8970 4459 8970 4464 8971 4462 8971 4458 8971 4464 8972 4463 8972 4462 8972 4465 8973 4458 8973 4461 8973 4465 8974 4464 8974 4458 8974 4466 8975 4467 8975 4461 8975 4468 8976 4461 8976 4467 8976 4450 8977 4466 8977 4461 8977 4468 8978 4465 8978 4461 8978 4469 8979 4470 8979 4467 8979 4471 8980 4467 8980 4470 8980 4472 8981 4469 8981 4467 8981 4466 8982 4472 8982 4467 8982 4468 8983 4467 8983 4471 8983 4473 8984 4474 8984 4470 8984 4475 8985 4470 8985 4474 8985 4455 8986 4473 8986 4470 8986 4469 8987 4455 8987 4470 8987 4475 8988 4471 8988 4470 8988 4473 8989 4476 8989 4474 8989 4477 8990 4474 8990 4476 8990 4477 8991 4475 8991 4474 8991 4478 8992 4476 8992 4473 8992 4478 8993 4477 8993 4476 8993 4479 8994 4473 8994 4455 8994 4479 8995 4478 8995 4473 8995 4469 8996 4454 8996 4455 8996 4456 8997 4479 8997 4455 8997 4480 8998 4457 8998 4454 8998 4481 8999 4450 8999 4457 8999 4480 9000 4481 9000 4457 9000 4482 9001 4454 9001 4469 9001 4480 9002 4454 9002 4482 9002 4483 9003 4469 9003 4472 9003 4482 9004 4469 9004 4483 9004 4484 9005 4472 9005 4466 9005 4483 9006 4472 9006 4484 9006 4485 9007 4466 9007 4450 9007 4484 9008 4466 9008 4485 9008 4485 9009 4450 9009 4481 9009 4486 9010 4471 9010 4475 9010 4487 9011 4471 9011 4486 9011 4487 9012 4468 9012 4471 9012 4486 9013 4475 9013 4477 9013 4488 9014 4477 9014 4478 9014 4488 9015 4486 9015 4477 9015 4488 9016 4478 9016 4479 9016 4489 9017 4479 9017 4456 9017 4489 9018 4488 9018 4479 9018 4489 9019 4456 9019 4453 9019 4490 9020 4489 9020 4453 9020 4460 9021 4490 9021 4453 9021 4491 9022 4486 9022 4488 9022 4492 9023 4486 9023 4491 9023 4487 9024 4486 9024 4492 9024 4493 9025 4488 9025 4489 9025 4493 9026 4491 9026 4488 9026 4494 9027 4489 9027 4490 9027 4494 9028 4493 9028 4489 9028 4495 9029 4494 9029 4490 9029 4496 9030 4495 9030 4490 9030 4463 9031 4490 9031 4460 9031 4496 9032 4490 9032 4463 9032 4497 9033 4491 9033 4493 9033 4497 9034 4498 9034 4491 9034 4492 9035 4491 9035 4498 9035 4499 9036 4493 9036 4494 9036 4500 9037 4497 9037 4493 9037 4499 9038 4500 9038 4493 9038 4499 9039 4494 9039 4495 9039 4499 9040 4495 9040 4501 9040 4502 9041 4501 9041 4495 9041 4496 9042 4502 9042 4495 9042 4502 9043 4503 9043 4501 9043 4504 9044 4501 9044 4503 9044 4505 9045 4499 9045 4501 9045 4504 9046 4505 9046 4501 9046 4502 9047 4498 9047 4503 9047 4506 9048 4503 9048 4498 9048 4506 9049 4504 9049 4503 9049 4507 9050 4498 9050 4497 9050 4502 9051 4492 9051 4498 9051 4506 9052 4498 9052 4507 9052 4508 9053 4497 9053 4500 9053 4507 9054 4497 9054 4508 9054 4509 9055 4500 9055 4499 9055 4509 9056 4508 9056 4500 9056 4505 9057 4509 9057 4499 9057 4487 9058 4492 9058 4502 9058 4487 9059 4502 9059 4496 9059 4504 9060 4508 9060 4509 9060 4506 9061 4508 9061 4504 9061 4506 9062 4507 9062 4508 9062 4504 9063 4509 9063 4505 9063 4496 9064 4463 9064 4464 9064 4496 9065 4464 9065 4465 9065 4487 9066 4465 9066 4468 9066 4487 9067 4496 9067 4465 9067 4484 9068 4485 9068 4481 9068 4480 9069 4484 9069 4481 9069 4480 9070 4483 9070 4484 9070 4480 9071 4482 9071 4483 9071 4510 9072 4511 9072 4512 9072 4513 9073 4512 9073 4511 9073 4514 9074 4512 9074 4515 9074 4516 9075 4515 9075 4512 9075 4514 9076 4517 9076 4512 9076 4510 9077 4512 9077 4517 9077 4513 9078 4516 9078 4512 9078 4518 9079 4519 9079 4511 9079 4520 9080 4511 9080 4519 9080 4521 9081 4518 9081 4511 9081 4510 9082 4521 9082 4511 9082 4520 9083 4513 9083 4511 9083 4518 9084 4522 9084 4519 9084 4523 9085 4519 9085 4522 9085 4523 9086 4520 9086 4519 9086 4524 9087 4522 9087 4518 9087 4524 9088 4523 9088 4522 9088 4525 9089 4518 9089 4521 9089 4525 9090 4524 9090 4518 9090 4526 9091 4527 9091 4521 9091 4528 9092 4521 9092 4527 9092 4510 9093 4526 9093 4521 9093 4528 9094 4525 9094 4521 9094 4529 9095 4530 9095 4527 9095 4531 9096 4527 9096 4530 9096 4532 9097 4529 9097 4527 9097 4526 9098 4532 9098 4527 9098 4528 9099 4527 9099 4531 9099 4533 9100 4534 9100 4530 9100 4535 9101 4530 9101 4534 9101 4515 9102 4533 9102 4530 9102 4529 9103 4515 9103 4530 9103 4535 9104 4531 9104 4530 9104 4533 9105 4536 9105 4534 9105 4537 9106 4534 9106 4536 9106 4537 9107 4535 9107 4534 9107 4538 9108 4536 9108 4533 9108 4538 9109 4537 9109 4536 9109 4539 9110 4533 9110 4515 9110 4539 9111 4538 9111 4533 9111 4529 9112 4514 9112 4515 9112 4516 9113 4539 9113 4515 9113 4540 9114 4517 9114 4514 9114 4541 9115 4510 9115 4517 9115 4540 9116 4541 9116 4517 9116 4542 9117 4514 9117 4529 9117 4540 9118 4514 9118 4542 9118 4543 9119 4529 9119 4532 9119 4542 9120 4529 9120 4543 9120 4544 9121 4532 9121 4526 9121 4543 9122 4532 9122 4544 9122 4545 9123 4526 9123 4510 9123 4544 9124 4526 9124 4545 9124 4545 9125 4510 9125 4541 9125 4546 9126 4531 9126 4535 9126 4547 9127 4531 9127 4546 9127 4547 9128 4528 9128 4531 9128 4546 9129 4535 9129 4537 9129 4548 9130 4537 9130 4538 9130 4548 9131 4546 9131 4537 9131 4548 9132 4538 9132 4539 9132 4549 9133 4539 9133 4516 9133 4549 9134 4548 9134 4539 9134 4549 9135 4516 9135 4513 9135 4550 9136 4549 9136 4513 9136 4520 9137 4550 9137 4513 9137 4551 9138 4546 9138 4548 9138 4552 9139 4546 9139 4551 9139 4547 9140 4546 9140 4552 9140 4553 9141 4548 9141 4549 9141 4553 9142 4551 9142 4548 9142 4554 9143 4549 9143 4550 9143 4554 9144 4553 9144 4549 9144 4555 9145 4554 9145 4550 9145 4556 9146 4555 9146 4550 9146 4523 9147 4550 9147 4520 9147 4556 9148 4550 9148 4523 9148 4557 9149 4551 9149 4553 9149 4557 9150 4558 9150 4551 9150 4552 9151 4551 9151 4558 9151 4559 9152 4553 9152 4554 9152 4560 9153 4557 9153 4553 9153 4559 9154 4560 9154 4553 9154 4559 9155 4554 9155 4555 9155 4559 9156 4555 9156 4561 9156 4562 9157 4561 9157 4555 9157 4556 9158 4562 9158 4555 9158 4562 9159 4563 9159 4561 9159 4564 9160 4561 9160 4563 9160 4565 9161 4559 9161 4561 9161 4564 9162 4565 9162 4561 9162 4562 9163 4558 9163 4563 9163 4566 9164 4563 9164 4558 9164 4566 9165 4564 9165 4563 9165 4567 9166 4558 9166 4557 9166 4562 9167 4552 9167 4558 9167 4566 9168 4558 9168 4567 9168 4568 9169 4557 9169 4560 9169 4567 9170 4557 9170 4568 9170 4569 9171 4560 9171 4559 9171 4569 9172 4568 9172 4560 9172 4565 9173 4569 9173 4559 9173 4547 9174 4552 9174 4562 9174 4547 9175 4562 9175 4556 9175 4564 9176 4568 9176 4569 9176 4566 9177 4568 9177 4564 9177 4566 9178 4567 9178 4568 9178 4564 9179 4569 9179 4565 9179 4556 9180 4523 9180 4524 9180 4556 9181 4524 9181 4525 9181 4547 9182 4525 9182 4528 9182 4547 9183 4556 9183 4525 9183 4544 9184 4545 9184 4541 9184 4540 9185 4544 9185 4541 9185 4540 9186 4543 9186 4544 9186 4540 9187 4542 9187 4543 9187</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="base" name="base" type="NODE">
+ <matrix sid="transform">1000 0 0 0 0 1000 0 0 0 0 1000 0 0 0 0 1</matrix>
+ <instance_geometry url="#base-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyA/meshes/elbow_fe.dae b/ct_models/urdf/HyA/meshes/elbow_fe.dae
new file mode 100644
index 0000000..40d88f4
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/elbow_fe.dae
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T10:05:04</created>
+ <modified>2015-04-23T10:05:04</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="elbow_fe-mesh" name="elbow_fe">
+ <mesh>
+ <source id="elbow_fe-mesh-positions">
+ <float_array id="elbow_fe-mesh-positions-array" count="15024">0.003767848 -0.02949988 0.001249969 -0.003767848 -0.02949988 0.001249969 -0.005499899 -0.02949988 0.002249956 -0.005499899 -0.04149997 0.002249956 -0.03399991 -0.02949988 0.009249985 -0.00723201 -0.02949988 0.001249969 -0.00723201 -0.04149997 0.001249969 0.005499899 -0.02949988 0.002249956 0.003767848 -0.02949988 -7.5e-4 -0.003767848 -0.02949988 -7.5e-4 -0.003767848 -0.04149997 0.001249969 0.005499899 -0.02949988 -0.001749992 -0.005499899 -0.02949988 -0.001749992 -0.003767848 -0.04149997 -7.5e-4 -0.00723201 -0.02949988 -7.5e-4 -0.005499899 -0.04149997 -0.001749992 0.01436185 -0.02949988 -0.017425 0.01249992 -0.02949988 -0.01634997 -0.00723201 -0.04149997 -7.5e-4 0.03399991 -0.02949988 0.009249985 0.00723201 -0.02949988 0.001249969 0.005499899 -0.04149997 0.002249956 0.003767848 -0.04149997 0.001249969 0.03399991 -0.02949988 -0.04974997 0.00723201 -0.02949988 -7.5e-4 0.00723201 -0.04149997 0.001249969 0.00723201 -0.04149997 -7.5e-4 0.005499899 -0.04149997 -0.001749992 0.003767848 -0.04149997 -7.5e-4 -0.03185653 -0.02949988 0.01724916 -0.01436185 -0.02949988 0.01792496 -0.01249992 -0.02949988 0.01684999 -0.01249992 -0.0391699 0.01684999 0.01249992 -0.02949988 0.01684999 -0.01063793 -0.02949988 0.01792496 -0.01063793 -0.0391699 0.01792496 -0.02599918 -0.02949988 0.02310663 -0.01436185 -0.02949988 0.02007496 -0.01436185 -0.0391699 0.01792496 -0.01249992 -0.02949988 0.02114999 -0.01436185 -0.0391699 0.02007496 0.01063793 -0.02949988 0.02007496 -0.01063793 -0.02949988 0.02007496 -0.01249992 -0.0391699 0.02114999 0.01249992 -0.02949988 0.02114999 0.01063793 -0.02949988 0.01792496 -0.01063793 -0.0391699 0.02007496 0.01249992 -0.0391699 0.01684999 0.03185653 -0.02949988 0.01724916 0.01436185 -0.02949988 0.01792496 0.01436185 -0.0391699 0.01792496 0.01063793 -0.0391699 0.01792496 0.01063793 -0.0391699 0.02007496 0.01436185 -0.02949988 0.02007496 0.01249992 -0.0391699 0.02114999 0.02599918 -0.02949988 0.02310663 0.01436185 -0.0391699 0.02007496 -0.01063793 -0.02949988 -0.01957494 0.01063793 -0.02949988 -0.01957494 0.01249992 -0.02949988 -0.0206499 0.01249992 -0.0391699 -0.0206499 0.01436185 -0.02949988 -0.01957494 0.01436185 -0.0391699 -0.01957494 -0.01249992 -0.02949988 -0.0206499 0.006999969 -0.02949988 -0.02274996 0.01336389 -0.02949988 -0.02538603 -0.01063793 -0.02949988 -0.017425 0.01063793 -0.02949988 -0.017425 0.01063793 -0.0391699 -0.01957494 -0.01249992 -0.02949988 -0.01634997 0.01063793 -0.0391699 -0.017425 0.01249992 -0.0391699 -0.01634997 0.01436185 -0.0391699 -0.017425 -0.01336389 -0.02949988 -0.02538603 -0.01436185 -0.02949988 -0.01957494 -0.01249992 -0.0391699 -0.0206499 -0.01063793 -0.0391699 -0.01957494 -0.006999969 -0.02949988 -0.02274996 -0.01436185 -0.02949988 -0.017425 -0.01436185 -0.0391699 -0.01957494 -0.01436185 -0.0391699 -0.017425 -0.01249992 -0.0391699 -0.01634997 -0.01063793 -0.0391699 -0.017425 0.006999969 -0.04149997 -0.02274996 -0.006999969 -0.04149997 -0.02274996 8.24485e-4 -0.03942894 -0.02274996 -8.24485e-4 -0.0365709 -0.02274996 8.24485e-4 -0.0365709 -0.02274996 0.001649916 -0.03799992 -0.02274996 0.01599997 -0.02949988 -0.03174996 0.01336389 -0.04149997 -0.02538603 0.01599997 -0.02949988 -0.04974997 0.01599997 -0.0464999 -0.04974997 0.01599997 -0.04149997 -0.03174996 0.02275061 -0.03410267 -0.04974997 0.0205 -0.03799992 -0.04974997 0.03399991 -0.0464999 -0.04974997 0.02949988 -0.03799992 -0.04974997 0.02724933 -0.03410267 -0.04974997 0.03399991 -0.04149997 0.009249985 0.03399991 -0.03981864 -0.004299998 0.03399991 -0.04149997 -0.03074991 0.03399991 -0.03618133 -0.006399989 0.03399991 -0.03618133 -0.004299998 0.03399991 -0.03799992 -0.003249943 0.0314942 -0.04149997 0.0178467 0.0333606 -0.04149997 0.0137279 -0.01799988 -0.02949988 0.02524989 0.01799988 -0.02949988 0.02524989 0.02476382 -0.04149997 0.02374988 0.0285505 -0.04149997 0.02127856 0.01799988 -0.03999996 0.02524989 0.02137643 -0.04036027 0.02488958 -0.01799988 -0.03999996 0.02524989 -8.24485e-4 -0.0365709 0.02524989 8.24485e-4 -0.0365709 0.02524989 -0.001649916 -0.03799992 0.02524989 -8.24485e-4 -0.03942894 0.02524989 -0.0285505 -0.04149997 0.02127856 -0.02476382 -0.04149997 0.02374988 -0.02137637 -0.04036027 0.02488958 -0.0333606 -0.04149997 0.0137279 -0.0314942 -0.04149997 0.0178467 -0.01599997 -0.02949988 -0.04974997 -0.03399991 -0.02949988 -0.04974997 -0.03399991 -0.03618133 0.006899893 -0.01599997 -0.02949988 -0.03174996 -0.03399991 -0.04149997 0.009249985 -0.03399991 -0.03799992 0.007949948 -0.02724933 -0.03410267 -0.04974997 -0.03399991 -0.05649989 -0.03074991 -0.03399991 -0.04149997 -0.03074991 -0.03399991 -0.03799992 0.003749907 -0.03399991 -0.0464999 -0.04474997 -0.03399991 -0.04767173 -0.04192173 -0.03399991 -0.0464999 -0.04974997 -0.02949988 -0.03799992 -0.04974997 -0.03399991 -0.03618133 0.004799962 -0.01599997 -0.04149997 -0.03174996 -0.01599997 -0.0464999 -0.04474997 -0.02275061 -0.03410267 -0.04974997 -0.0205 -0.03799992 -0.04974997 -0.01599997 -0.0464999 -0.04974997 -0.01336389 -0.04149997 -0.02538603 0.01599997 -0.04149997 -0.03074991 0.01637917 -0.04149997 -0.02074038 0.01249992 -0.04149997 -0.02297997 0.008620679 -0.04149997 -0.02074038 0.01834315 -0.04149997 -0.02509307 0.01638019 -0.04149997 -0.0162611 0.01249992 -0.04149997 0.01451992 0.01249992 -0.04149997 -0.0140199 0.01637989 -0.04149997 0.01676058 0.01637989 -0.04149997 0.02123934 0.008716285 -0.04149997 -0.01153361 0.008619785 -0.04149997 -0.0162611 0.01048368 -0.04149997 -0.01153361 0.009599983 -0.04149997 -0.01189988 0.01084995 -0.04149997 -0.01064991 0.01084995 -0.04149997 0.01284992 0.008349955 -0.04149997 -0.01064991 -0.008620023 -0.04149997 0.02123934 -0.008349955 -0.04149997 0.01284992 -0.001731932 -0.04149997 -0.006349921 0.001731932 -0.04149997 0.006849944 0.008349955 -0.04149997 0.01284992 -0.001731932 -0.04149997 0.00484997 -0.001731932 -0.04149997 -0.004349887 0 -0.04149997 -0.0033499 0 -0.03799992 -0.0033499 0 -0.04149997 0.003849983 0.001731932 -0.04149997 -0.004349887 0.001090407 -0.03909051 -0.003673434 -0.001732051 -0.03149998 -0.004350602 0 -0.03149998 -0.0033499 0 -0.04149997 -0.007349908 -0.001732051 -0.03149998 -0.006349325 0.001731932 -0.04149997 -0.006349921 0 -0.03799992 -0.007349908 0.001779854 -0.03977996 -0.006262004 0.001095533 -0.03909558 -0.007023215 0.001731932 -0.04149997 0.00484997 0.001774847 -0.03977483 -0.004428088 -0.001731932 -0.04149997 0.006849944 0 -0.04149997 0.007849991 0 -0.03799992 0.007849991 0.001732051 -0.03149998 0.006849348 -0.001779854 -0.03977996 0.006761968 -0.001095533 -0.03909558 0.007523179 -0.001090407 -0.03909051 0.004173457 -0.001774847 -0.03977483 0.004928112 0 -0.03799992 0.003849983 0.001732051 -0.03149998 0.004850566 0 -0.03149998 0.003849983 -0.008619785 -0.04149997 -0.0162611 -0.008716285 -0.04149997 -0.01153361 -0.009599983 -0.04149997 -0.01189988 -0.009599983 -0.03149998 -0.01189988 -0.01048368 -0.04149997 -0.01153361 -0.01048386 -0.03149998 -0.01153379 -0.008349955 -0.04149997 -0.01064991 -0.008716106 -0.03149998 -0.01153379 -0.008716285 -0.04149997 0.01196622 -0.008716285 -0.04149997 -0.00976628 -0.008349955 -0.03149998 -0.01064991 -0.009599983 -0.04149997 0.01159989 -0.009599983 -0.04149997 -0.00939995 -0.008716106 -0.03149998 -0.009766101 -0.01048368 -0.04149997 0.01196622 -0.01048368 -0.04149997 -0.00976628 -0.009599983 -0.03149998 -0.00939995 -0.01084995 -0.04149997 0.01284992 -0.01084995 -0.04149997 -0.01064991 -0.01048386 -0.03149998 -0.009766101 -0.01084995 -0.03149998 -0.01064991 -0.01249992 -0.04149997 0.01451992 -0.01249992 -0.04149997 -0.0140199 -0.009599983 -0.03149998 0.01159989 -0.01048386 -0.03149998 0.01196604 -0.008716106 -0.03149998 0.01196604 -0.008620023 -0.04149997 0.01676058 -0.008716285 -0.04149997 0.01373368 -0.008349955 -0.03149998 0.01284992 -0.009599983 -0.04149997 0.01409989 -0.008716106 -0.03149998 0.01373386 -0.01048368 -0.04149997 0.01373368 -0.009599983 -0.03149998 0.01409989 -0.01048386 -0.03149998 0.01373386 -0.01084995 -0.03149998 0.01284992 0.009599983 -0.03149998 -0.01189988 0.008716106 -0.03149998 -0.01153379 0.01048386 -0.03149998 -0.01153379 0.01048368 -0.04149997 0.01196622 0.01048368 -0.04149997 -0.00976628 0.01084995 -0.03149998 -0.01064991 0.009599983 -0.04149997 0.01159989 0.009599983 -0.04149997 -0.00939995 0.01048386 -0.03149998 -0.009766101 0.008716285 -0.04149997 0.01196622 0.008716285 -0.04149997 -0.00976628 0.009599983 -0.03149998 -0.00939995 0.008716106 -0.03149998 -0.009766101 0.008349955 -0.03149998 -0.01064991 0.009599983 -0.03149998 0.01159989 0.008716106 -0.03149998 0.01196604 0.01048386 -0.03149998 0.01196604 0.01048368 -0.04149997 0.01373368 0.01084995 -0.03149998 0.01284992 0.008620023 -0.04149997 0.01676058 0.009599983 -0.04149997 0.01409989 0.01048386 -0.03149998 0.01373386 0.008716285 -0.04149997 0.01373368 0.009599983 -0.03149998 0.01409989 0.008716106 -0.03149998 0.01373386 0.008349955 -0.03149998 0.01284992 -0.01249992 -0.04149997 0.02347993 -0.01637989 -0.04149997 0.01676058 -0.01637989 -0.04149997 0.02123934 0.008620023 -0.04149997 0.02123934 0.01249992 -0.04149997 0.02347993 -0.01638019 -0.04149997 -0.0162611 0.02399992 -0.04149997 -0.02274996 -0.01834315 -0.04149997 -0.02509307 -0.01637917 -0.04149997 -0.02074038 -0.01249992 -0.04149997 -0.02297997 -0.01599997 -0.04149997 -0.03074991 -0.008620679 -0.04149997 -0.02074038 0.02599996 -0.04149997 -0.02274996 0.0316568 -0.04149997 -0.02509307 0.03399991 -0.05649989 -0.03074991 0.03399991 -0.0464999 -0.04474997 0.03399991 -0.04767173 -0.04192173 0.03399991 -0.05049991 -0.0407499 0.03399991 -0.05649989 -0.0407499 0.03399991 -0.03799992 -0.007449984 0.03399991 -0.03981864 -0.006399989 0.0316568 -0.05649989 -0.02509307 0.02399992 -0.05649989 -0.02274996 0.02599996 -0.05649989 -0.02274996 0.01834315 -0.05649989 -0.02509307 0.01599997 -0.0464999 -0.04474997 0.01599997 -0.05649989 -0.03074991 0.01599997 -0.05649989 -0.0407499 0.01599997 -0.05049991 -0.0407499 0.01599997 -0.04767173 -0.04192173 -0.001649916 -0.03799992 -0.02274996 -8.24485e-4 -0.03942894 -0.02274996 -0.01599997 -0.05649989 -0.03074991 -0.01599997 -0.04767173 -0.04192173 -0.02399992 -0.04149997 -0.02274996 -0.01834315 -0.05649989 -0.02509307 -0.02599996 -0.04149997 -0.02274996 -0.02599996 -0.05649989 -0.02274996 -0.02399992 -0.05649989 -0.02274996 -0.0316568 -0.04149997 -0.02509307 -0.0316568 -0.05649989 -0.02509307 -0.03399991 -0.03981864 0.004799962 -0.03399991 -0.03981864 0.006899893 0.02724933 -0.04189717 -0.04974997 0.02889722 -0.05649989 -0.03399932 0.02499997 -0.05649989 -0.03624999 0.02889722 -0.05649989 -0.0295006 0.02699995 -0.03799992 -0.007449984 0.02633816 -0.03948622 -0.006833434 0.02499997 -0.03599995 -0.005990207 0.02595919 -0.03624492 -0.006503224 0.02668529 -0.03692317 -0.007152736 0.02633321 -0.03650909 -0.003870964 0.02499997 -0.03589993 -0.005349934 0.02499997 -0.03599995 -0.004709661 0.02699995 -0.03799992 -0.003249943 0.02499997 -0.03999996 -0.004709661 0.02596181 -0.03975343 -0.004194498 0.02668768 -0.03907305 -0.003544867 0.02499997 -0.03999996 -0.005990207 0.02499997 -0.04009991 -0.005349934 0.001649916 -0.03799992 0.02524989 0.001649916 -0.03799992 0.01725 8.24485e-4 -0.03942894 0.02524989 8.25e-4 -0.03942883 0.01725 8.25e-4 -0.03657096 0.01725 -8.25e-4 -0.03657096 0.01725 -0.001649916 -0.03799992 0.01725 -8.25e-4 -0.03942883 0.01725 -0.03399991 -0.05049991 -0.0407499 -0.03399991 -0.05649989 -0.0407499 -0.01599997 -0.05049991 -0.0407499 -0.02889722 -0.05649989 -0.03399932 -0.02499997 -0.05649989 -0.03624999 -0.01599997 -0.05649989 -0.0407499 -0.02724933 -0.04189717 -0.04974997 -0.02275061 -0.04189717 -0.04974997 -0.02699995 -0.03799992 0.007949948 -0.02657103 -0.03923755 0.007546782 -0.0257802 -0.03615844 0.006859064 -0.02657634 -0.03676909 0.00755167 -0.02657109 -0.03676235 0.004153132 -0.02499997 -0.03599995 0.00649029 -0.02499997 -0.03589993 0.005849957 -0.02577835 -0.0361576 0.004842281 -0.02499997 -0.03599995 0.005209684 -0.02699995 -0.03799992 0.003749907 -0.02577978 -0.03984165 0.004841208 -0.02657604 -0.03923124 0.004148483 -0.02499997 -0.03999996 0.005209684 -0.02499997 -0.04009991 0.005849957 -0.02577769 -0.03984248 0.006857097 -0.02499997 -0.03999996 0.00649029 -0.02949988 -0.03799992 -0.03174996 -0.02820193 -0.04116171 -0.03491258 -0.02499997 -0.03349989 -0.03624999 -0.02820855 -0.03484475 -0.03490597 -0.02179509 -0.03484106 -0.03490972 -0.0205 -0.03799992 -0.03174996 -0.02499997 -0.04249989 -0.03624999 -0.02178853 -0.04115223 -0.03490304 0.0205 -0.03799992 -0.03174996 0.02275061 -0.04189717 -0.04974997 0.02179795 -0.04116171 -0.03491258 0.02499997 -0.03349989 -0.03624999 0.02179133 -0.03484475 -0.03490597 0.02820479 -0.03484106 -0.03490972 0.02949988 -0.03799992 -0.03174996 0.02499997 -0.04249989 -0.03624999 0.02821135 -0.04115223 -0.03490304 0.001732051 -0.03149998 -0.004350602 0.001732051 -0.03149998 -0.006349325 0.001779079 -0.03622084 -0.004436254 0.001094818 -0.03690505 -0.003676295 0 -0.03149998 -0.007349908 0.00109148 -0.03690838 -0.007025778 0.001775801 -0.03622406 -0.006269991 -0.001732051 -0.03149998 0.006849348 0 -0.03149998 0.007849991 -0.00109148 -0.03690838 0.007525861 -0.001732051 -0.03149998 0.004850566 -0.001779079 -0.03622084 0.004936218 -0.001094818 -0.03690505 0.004176259 -0.001775801 -0.03622406 0.006769955 0.02362412 -0.03945147 -0.00397402 0.023 -0.03799992 -0.0033499 0.023 -0.03799992 -0.007349908 0.02361875 -0.03655344 -0.006731212 0.02361541 -0.03944331 -0.00673449 0.02493989 -0.039999 -0.005410075 0.02493989 -0.03999996 -0.005349934 0.02493989 -0.039999 -0.005289852 0.02361047 -0.03656142 -0.003960371 0.02493989 -0.03600084 -0.005289852 0.02493989 -0.03600084 -0.005410075 0.02493989 -0.03599995 -0.005349934 -0.02350008 -0.03932297 0.004350185 -0.023 -0.03799992 0.003849983 -0.023 -0.03799992 0.007849991 -0.02350032 -0.0366767 0.007349491 -0.02350044 -0.03932332 0.007349312 -0.02493989 -0.039999 0.005910098 -0.02493983 -0.039999 0.005789816 -0.02493989 -0.03999996 0.005849957 -0.02349942 -0.03667759 0.004349589 -0.02493989 -0.03600084 0.005789816 -0.02493983 -0.03600084 0.005910098 -0.02493989 -0.03599995 0.005849957 -0.02110272 -0.05649989 -0.03399932 -0.02110272 -0.05649989 -0.0295006 -0.02499997 -0.05649989 -0.02724999 -0.02110284 -0.03349989 -0.02949988 -0.02889722 -0.05649989 -0.0295006 -0.02499997 -0.03999996 -0.02724999 -0.02357786 -0.03940629 -0.0274806 -0.023 -0.03799992 -0.02771884 -0.02889704 -0.03349989 -0.02949988 -0.02641904 -0.03940922 -0.02747958 -0.02699995 -0.03799992 -0.02771884 0.02110272 -0.05649989 -0.03399932 0.02499997 -0.05649989 -0.02724999 0.02889704 -0.03349989 -0.02949988 0.02110272 -0.05649989 -0.0295006 0.02499997 -0.03999996 -0.02724999 0.02599948 -0.03973221 -0.0273624 0.02673774 -0.03898984 -0.02759909 0.02110284 -0.03349989 -0.02949988 0.0232622 -0.03899002 -0.02759897 0.02326196 -0.03701031 -0.02759915 0.02400058 -0.03973233 -0.02736228 -0.009599983 -0.0307489 -0.01064991 -0.009599983 -0.0307489 0.01284992 0.009599983 -0.0307489 -0.01064991 0.009599983 -0.0307489 0.01284992 -0.02110284 -0.03349989 -0.03399991 -0.02889704 -0.03349989 -0.03399991 -0.02499997 -0.03079611 -0.03174996 0.02889704 -0.03349989 -0.03399991 0.02110284 -0.03349989 -0.03399991 0.02499997 -0.03079611 -0.03174996 -0.02600044 -0.03626865 0.01024997 -0.02399951 -0.03626865 0.01024997 -0.023 -0.03799992 0.01024997 -0.02699995 -0.03799992 0.01024997 -0.02399951 -0.03973132 0.01024997 -0.02495771 -0.03600043 0.006198227 -0.02600044 -0.03973132 0.01024997 -0.02495813 -0.03999954 0.00620228 -0.02495771 -0.03999954 0.005501687 -0.0264191 -0.03659069 -0.02747958 -0.02357798 -0.03659343 -0.02748054 -0.02495813 -0.03600043 0.005497634 -0.02499997 -0.03599995 -0.02724999 -0.02499997 -0.03349989 -0.02724999 0.02326864 -0.03900045 0.01024997 0.02326864 -0.03699946 0.01024997 0.02499997 -0.03599995 0.01024997 0.02499997 -0.03999996 0.01024997 0.02673131 -0.03699946 0.01024997 0.02495813 -0.03600043 -0.004997909 0.02673131 -0.03900045 0.01024997 0.02495759 -0.03999954 -0.005001962 0.02495759 -0.03600043 -0.005698025 0.02499997 -0.03599995 -0.02724999 0.02600002 -0.03626787 -0.02736252 0.02400028 -0.03626763 -0.0273624 0.02499997 -0.03349989 -0.02724999 0.02495813 -0.03999954 -0.005701959 0.02673792 -0.03701037 -0.02759915 -0.001649916 -0.03799992 -0.01475 -8.25e-4 -0.03942883 -0.01475 -8.25e-4 -0.03657096 -0.01475 8.25e-4 -0.03657096 -0.01475 0.001649916 -0.03799992 -0.01475 8.25e-4 -0.03942883 -0.01475 0 -0.03799992 -0.01375854 0 -0.03799992 0.01625847 0.02949988 -0.02257084 0.02407085 0.02949988 -0.01310032 0.02277082 0.02949988 -0.01469993 0.01999998 0.03149998 -0.01469993 0.01999998 0.02949988 -0.01310032 0.01722908 0.03149998 -0.0130999 0.01722872 0.02949988 -0.009899616 0.02277082 0.03149998 -0.0130999 0.02277117 0.02949988 0.008299946 0.01999998 0.02949988 -0.008299946 0.01999998 0.03149998 -0.009899973 0.02277117 0.02949988 0.009899616 0.02277082 0.02949988 0.009899616 0.01722908 0.02949988 -0.009899616 0.01722908 0.03149998 -0.008299946 0.01999998 0.02949988 0.02549993 0.0169999 0.03149998 -0.009899973 0.01722872 0.02949988 -0.02549993 0.0169999 0.03149998 0.008299946 0.01999998 0.03149998 0.009899973 0.01722872 0.02949988 0.01310032 0.02277082 0.03149998 0.009899973 0.02277117 0.02949988 0.01469993 0.01999998 0.03149998 0.0130999 0.02277117 0.02949988 0.02257084 0.02407085 0.02949988 0.01310032 0.01722908 0.03149998 0.01469993 0.01999998 0.03149998 0.0130999 0.01722872 0.02949988 -0.01707082 -0.009570896 0.02949988 -0.01310032 -0.01722908 0.02949988 -0.01469993 -0.01999998 0.03149998 -0.01469993 -0.01999998 0.02949988 -0.02549993 -0.02199995 0.02949988 -0.01310032 -0.02277082 0.03149998 -0.0130999 -0.02277117 0.02949988 -0.01999998 -0.002499938 0.02949988 -0.009899616 -0.01722908 0.03149998 -0.0130999 -0.01722872 0.02949988 0.008299946 -0.01999998 0.02949988 -0.008299946 -0.01999998 0.03149998 -0.009899973 -0.01722872 0.02949988 0.009899616 -0.01722908 0.02949988 -0.00999999 -0.01249992 0.02949988 0.009899616 -0.02277082 0.02949988 -0.009899616 -0.02277082 0.03149998 -0.008299946 -0.01999998 0.02949988 0.0249142 -0.02341419 0.03149998 -0.009899973 -0.02277117 0.02949988 -0.0249142 -0.02341419 0.03149998 0.008299946 -0.01999998 0.03149998 0.009899973 -0.02277117 0.02949988 0.01310032 -0.01722908 0.03149998 0.009899973 -0.01722872 0.02949988 0.02549993 -0.02199995 0.02949988 0.01469993 -0.01999998 0.03149998 0.0130999 -0.01722872 0.02949988 0.00999999 -0.01249992 0.02949988 0.01310032 -0.02277082 0.03149998 0.01469993 -0.01999998 0.03149998 0.0130999 -0.02277117 0.02949988 0.01999998 -0.03399991 0.02949988 0.01599997 -0.032 0.02949988 0.01599997 -0.02999997 0.037 0.01599997 -0.032 0.02949988 0.01541411 -0.02858579 0.037 0.01541411 -0.02858579 0.037 0.01599997 -0.02999997 0.02949988 0.01541411 -0.03341418 0.02949988 0.01399993 -0.03399991 0.037 0.01541411 -0.03341418 0.02949988 0.01941418 -0.03541415 0.02949988 -0.01399993 -0.03399991 0.037 0.01399993 -0.03399991 0.02949988 -0.01999998 -0.03399991 0.02949988 -0.01541411 -0.03341418 0.037 -0.01399993 -0.03399991 0.02949988 -0.01999998 -0.02599996 0.02949988 -0.01599997 -0.032 0.037 -0.01541411 -0.03341418 0.02949988 -0.01599997 -0.02999997 0.037 -0.01599997 -0.02999997 0.037 -0.01599997 -0.032 0.02949988 -0.01541411 -0.02858579 0.02949988 -0.01399993 -0.02799993 0.037 -0.01541411 -0.02858579 0.02949988 0.01399993 -0.02799993 0.037 -0.01399993 -0.02799993 0.02949988 0.01999998 -0.02599996 0.037 0.01399993 -0.02799993 0.02949988 0.00999999 0.01249992 0.02949988 -0.00999999 0.01249992 0.0345 -0.00999999 0.01249992 0.02949988 -0.01707082 0.009570896 0.0345 -0.01707082 0.009570896 0.02949988 0.01707082 0.009570896 0.0345 0.00999999 0.01249992 0.02949988 0.01999998 0.002499938 0.0345 0.01707082 0.009570896 0.02949988 0.01999998 -0.002499938 0.0345 0.01999998 -0.002499938 0.0345 0.01999998 0.002499938 0.02949988 0.01707082 -0.009570896 0.0345 0.01707082 -0.009570896 0.0345 0.00999999 -0.01249992 0.0345 -0.00999999 -0.01249992 0.0345 -0.01707082 -0.009570896 0.02949988 -0.01999998 0.002499938 0.0345 -0.01999998 0.002499938 0.0345 -0.01999998 -0.002499938 0.03749996 0.02549993 -0.02199995 0.03749996 0.0249142 -0.02341419 0.03749996 0.02549993 0.0169999 0.02949988 -0.01549988 0.02699995 0.02949988 0.01549988 0.02699995 0.03749996 0.02257084 0.02407085 0.03749996 0.01549988 0.02699995 0.03749996 -0.01549988 0.02699995 0.03749996 -0.02257084 0.02407085 0.03749996 -0.02549993 0.0169999 0.03749996 -0.02549993 -0.02199995 0.02949988 -0.02199995 -0.02399992 0.02949988 -0.02349996 -0.02399992 0.03749996 -0.0249142 -0.02341419 0.02949988 0.02199995 -0.02399992 0.02949988 0.02349996 -0.02399992 0.03749996 -0.02349996 -0.02399992 0.02949988 0.02058577 -0.02458578 0.02949988 -0.02058577 -0.02458578 0.03749996 -0.02199995 -0.02399992 0.03749996 -0.0202679 -0.02499997 0.03749996 -0.0209999 -0.02426791 0.04565 -0.01999998 -0.03399991 0.03756415 -0.02006304 -0.02550166 0.03776788 -0.01999998 -0.02599996 0.02949988 -0.01941418 -0.03541415 0.02949988 0.01799988 -0.03599995 0.02949988 -0.01799988 -0.03599995 0.04564988 -0.019414 -0.03541421 0.04078799 -0.01607495 -0.03599995 0.04264998 -0.01714998 -0.03599995 0.04565 -0.01799988 -0.03599995 0.04565 0.01799988 -0.03599995 0.04078799 0.01392489 -0.03599995 0.04264998 0.01284992 -0.03599995 0.04264998 0.007149994 -0.03599995 0.04078799 0.01607495 -0.03599995 0.04264998 0.01714998 -0.03599995 0.04078799 0.006074965 -0.03599995 0.04078799 0.003924906 -0.03599995 0.04264998 -0.002849996 -0.03599995 0.04078799 -0.003924906 -0.03599995 0.04078799 -0.006074965 -0.03599995 0.04264998 -0.01284992 -0.03599995 0.04078799 -0.01392489 -0.03599995 0.04564988 0.0194143 -0.03541404 0.03776788 0.01999998 -0.02599996 0.04565 0.01999998 -0.02699995 0.04565 0.01999998 -0.03399991 0.03949993 0.01999998 -0.02699995 0.03849995 0.01999998 -0.02673196 0.03749996 0.0209999 -0.02426791 0.03749996 0.0202679 -0.02499997 0.03756415 0.02006304 -0.02550166 0.03749996 0.02199995 -0.02399992 0.03749996 0.02349996 -0.02399992 0.03749996 -0.01429992 0.01515018 0.03749996 -0.01709991 0.01999998 0.03149998 -0.01709991 0.01999998 0.03749996 -0.01429992 0.02484971 0.03149998 -0.01429915 0.02484989 0.03749996 -0.008699953 0.01515018 0.03149998 -0.01429915 0.01515007 0.03749996 0.005899906 0.01999998 0.03749996 -0.005899906 0.01999998 0.03149998 -0.008700788 0.01515007 0.03749996 0.008699953 0.01515018 0.03749996 0.008699953 0.02484971 0.03749996 -0.008699953 0.02484971 0.03149998 -0.005899906 0.01999998 0.03149998 -0.008700788 0.02484989 0.03149998 0.005899906 0.01999998 0.03149998 0.008700788 0.02484989 0.03749996 0.01429992 0.01515018 0.03149998 0.008700788 0.01515007 0.03749996 0.01709991 0.01999998 0.03149998 0.01429915 0.01515007 0.03749996 -0.01429992 -0.01515018 0.03749996 0.01429992 0.02484971 0.03149998 0.01709991 0.01999998 0.03149998 0.01429915 0.02484989 0.03749996 0.01402187 -0.02499997 0.03759211 0.0115 -0.02560001 0.03749996 0.01626825 -0.02293652 0.03149998 0.01429915 -0.02484989 0.03149998 0.008700788 -0.02484989 0.03749996 0.01709991 -0.01999998 0.03749996 0.01429992 -0.01515018 0.03149998 0.01709991 -0.01999998 0.03749996 0.008699953 -0.01515018 0.03149998 0.01429915 -0.01515007 0.03749996 -0.005899906 -0.01999998 0.03749996 0.005899906 -0.01999998 0.03149998 0.008700788 -0.01515007 0.03749996 -0.008699953 -0.01515018 0.03749996 -0.006731629 -0.02293652 0.03749996 0.006731629 -0.02293652 0.03149998 0.005899906 -0.01999998 0.03749996 -0.008978068 -0.02499997 0.03749996 0.008978068 -0.02499997 0.03759211 -0.0115 -0.02560001 0.03149998 -0.008700788 -0.02484989 0.03149998 -0.01429915 -0.02484989 0.03149998 -0.005899906 -0.01999998 0.03149998 -0.008700788 -0.01515007 0.03749996 -0.01709991 -0.01999998 0.03149998 -0.01429915 -0.01515007 0.03749996 -0.01626825 -0.02293652 0.03149998 -0.01709991 -0.01999998 0.03749996 -0.01402187 -0.02499997 0.04264998 0.01284992 -0.02699995 0.04451191 0.006074965 -0.03599995 0.04451191 0.01392489 -0.03599995 0.04451191 0.01392489 -0.02699995 0.04078799 0.01392489 -0.02699995 0.04078799 0.01607495 -0.02699995 0.04451191 0.01607495 -0.03599995 0.04264998 0.01714998 -0.02699995 0.04451191 0.01607495 -0.02699995 0.04264998 0.002849996 -0.03599995 0.04264998 0.002849996 -0.02699995 0.04451191 -0.003924906 -0.03599995 0.04451191 0.003924906 -0.03599995 0.04451191 0.003924906 -0.02699995 0.04078799 0.003924906 -0.02699995 0.04078799 0.006074965 -0.02699995 0.04264998 0.007149994 -0.02699995 0.04451191 0.006074965 -0.02699995 0.04264998 -0.002849996 -0.02699995 0.04078799 -0.003924906 -0.02699995 0.04451191 -0.006074965 -0.03599995 0.04451191 -0.003924906 -0.02699995 0.04264998 -0.007149994 -0.03599995 0.04451191 -0.006074965 -0.02699995 0.04264998 -0.007149994 -0.02699995 0.04451191 -0.01392489 -0.03599995 0.04078799 -0.006074965 -0.02699995 0.04264998 -0.01284992 -0.02699995 0.04078799 -0.01392489 -0.02699995 0.04451191 -0.01607495 -0.03599995 0.04451191 -0.01392489 -0.02699995 0.04451191 -0.01607495 -0.02699995 0.04264998 -0.01714998 -0.02699995 0.04078799 -0.01607495 -0.02699995 0.04659831 0.01796239 -0.03581315 0.04659831 -0.01796263 -0.03581309 0.04710131 0.01888918 -0.0352149 0.04741764 0.01926755 -0.02699995 0.04659831 0.01981312 -0.0339626 0.03949993 -0.01999998 -0.02699995 0.03849995 -0.01999998 -0.02673196 0.04565 -0.01999998 -0.02699995 0.04659831 -0.01981312 -0.03396236 0.04741764 -0.01926755 -0.02699995 0.04740947 -0.01927596 -0.0338549 0.04710131 -0.01921486 -0.03488922 0.04815 -0.01749998 -0.02699995 0.04815 -0.01749998 -0.03349989 0.04815 0.01749998 -0.03349989 0.04795908 -0.01769185 -0.03445792 0.04815 0.01749998 -0.02699995 0.04795908 0.01845788 -0.03369182 0.04795908 0.01769185 -0.03445792 0.04795908 -0.01845788 -0.03369182 0.04774117 -0.01886993 -0.03377389 0.04740953 0.01927596 -0.03385514 0.04774117 0.01777398 -0.0348699 0.04740953 -0.0178551 -0.03527587 0.04740947 0.01785486 -0.03527587 0.03539478 0.01238691 0.03099989 0.01580297 0.002501726 0.03099989 0.01131361 0.01131361 0.03099989 0.01131361 0.01131361 0.03399991 0.02651643 0.02651643 0.03099989 0.002501726 0.01580297 0.03099989 0.00612545 0.01478093 0.03399991 0.01994019 6.8587e-4 0.03099989 0.01425558 -0.007264137 0.03099989 0.01425665 -0.007262468 0.03399991 0.02181404 0.002559602 0.03099989 0.0158028 0.002504289 0.03399991 0.02062606 -0.001873791 0.03099989 0.007264137 -0.01425558 0.03099989 0.007264733 -0.01425558 0.03399991 -0.001873791 -0.02062606 0.03099989 -0.002501726 -0.01580297 0.03099989 -0.002502322 -0.01580303 0.03399991 0.002559602 -0.02181404 0.03099989 6.8587e-4 -0.01994019 0.03099989 -0.02651643 -0.02651643 0.03099989 -0.01131361 -0.01131361 0.03099989 -0.03539478 -0.01238691 0.03099989 -0.01580297 -0.002501726 0.03099989 -0.01131361 -0.01131361 0.03399991 -0.01994019 -6.8587e-4 0.03099989 -0.01425558 0.007264137 0.03099989 -0.01599997 1.70156e-6 0.03399991 -0.02181404 -0.002559602 0.03099989 -0.01478123 -0.006124675 0.03399991 -0.02062606 0.001873791 0.03099989 -0.007264137 0.01425558 0.03099989 -0.01385581 0.008000969 0.03399991 0.001873791 0.02062606 0.03099989 -1.73431e-6 0.01599997 0.03399991 -6.8587e-4 0.01994019 0.03099989 -0.002559602 0.02181404 0.03099989 -0.008000016 0.01385635 0.03399991 0.02062606 -0.001873791 0.03204995 0.02318578 -0.002559602 0.03099989 0.02318578 -0.002559602 0.03204995 0.02181404 -0.002559602 0.03204995 0.01994019 6.8587e-4 0.03204995 0.01994019 -6.8587e-4 0.03204995 0.02437376 0.001873791 0.03099989 0.02181404 0.002559602 0.03204995 0.02062606 0.001873791 0.03204995 0.0250597 -6.8587e-4 0.03099989 0.02437376 0.001873791 0.03204995 0.02318578 0.002559602 0.03204995 0.03726387 -0.004198968 0.03099989 0.0250597 -6.8587e-4 0.03204995 0.0250597 6.8587e-4 0.03204995 0.001873791 -0.02437376 0.03099989 0.01809388 -0.00852108 0.03099989 0.01914149 -0.007524013 0.03099989 0.02437376 -0.001873791 0.03204995 0.001873791 0.02062606 0.03204995 0.002559602 0.02318578 0.03099989 0.002559602 0.02318578 0.03204995 0.002559602 0.02181404 0.03204995 -6.8587e-4 0.01994019 0.03204995 6.8587e-4 0.01994019 0.03204995 -0.02318578 0.002559602 0.03099989 -0.001873791 0.02437376 0.03099989 -0.002559602 0.02181404 0.03204995 -0.001873791 0.02062606 0.03204995 0.01238691 0.03539478 0.03099989 6.8587e-4 0.0250597 0.03099989 -0.001873791 0.02437376 0.03204995 -0.01809388 0.00852108 0.03099989 -0.007522881 0.01914191 0.03099989 -0.007492661 0.0205878 0.03099989 -0.008520066 0.01809442 0.03099989 -0.002559602 0.02318578 0.03204995 6.8587e-4 0.0250597 0.03204995 -6.8587e-4 0.0250597 0.03204995 0.001873791 0.02437376 0.03204995 -0.02062606 0.001873791 0.03204995 -0.02318578 0.002559602 0.03204995 -0.02181404 0.002559602 0.03204995 -0.01994019 -6.8587e-4 0.03204995 -0.01994019 6.8587e-4 0.03204995 -0.02437376 -0.001873791 0.03099989 -0.02181404 -0.002559602 0.03204995 -0.02062606 -0.001873791 0.03204995 -0.0250597 6.8587e-4 0.03099989 -0.02437376 -0.001873791 0.03204995 -0.02318578 -0.002559602 0.03204995 -0.03726387 0.004198968 0.03099989 -0.0250597 6.8587e-4 0.03204995 -0.0250597 -6.8587e-4 0.03204995 -0.01914149 0.007524013 0.03099989 -0.02437376 0.001873791 0.03204995 -0.001873791 -0.02062606 0.03204995 -0.002559602 -0.02318578 0.03099989 -0.002559602 -0.02318578 0.03204995 -0.002559602 -0.02181404 0.03204995 6.8587e-4 -0.01994019 0.03204995 -6.8587e-4 -0.01994019 0.03204995 0.002559602 -0.02181404 0.03204995 0.001873791 -0.02062606 0.03204995 -0.01238691 -0.03539478 0.03099989 -6.8587e-4 -0.0250597 0.03099989 0.001873791 -0.02437376 0.03204995 0.008520066 -0.01809442 0.03099989 0.007522881 -0.01914191 0.03099989 0.007492661 -0.0205878 0.03099989 0.002559602 -0.02318578 0.03204995 -6.8587e-4 -0.0250597 0.03204995 6.8587e-4 -0.0250597 0.03204995 -0.001873791 -0.02437376 0.03204995 -0.007492661 0.0205878 0.0349999 -0.008865475 0.02435982 0.03099989 -0.008865475 0.02435982 0.0349999 -0.007522881 0.01914191 0.0349999 -0.01414149 0.01414239 0.03099989 -0.008520066 0.01809442 0.0349999 -0.01414149 0.01414239 0.0349999 -0.01809388 0.00852108 0.0349999 -0.02058738 0.007493853 0.03099989 -0.01914149 0.007524013 0.0349999 -0.02435934 0.008866846 0.03099989 -0.02058738 0.007493853 0.0349999 -0.02551907 0.009971439 0.03099989 -0.02435934 0.008866846 0.0349999 -0.02549642 0.01157277 0.03099989 -0.02551907 0.009971439 0.0349999 -0.01979815 0.01979935 0.03099989 -0.02549642 0.01157277 0.0349999 -0.004198968 0.03726387 0.03099989 -0.01157134 0.02549701 0.03099989 -0.01979815 0.01979935 0.0349999 -0.009969949 0.0255196 0.03099989 -0.01157134 0.02549701 0.0349999 -0.009969949 0.0255196 0.0349999 0.01414149 -0.01414239 0.03099989 0.008520066 -0.01809442 0.0349999 0.007522881 -0.01914191 0.0349999 0.01414149 -0.01414239 0.0349999 0.01809388 -0.00852108 0.0349999 0.02058738 -0.007493853 0.03099989 0.01914149 -0.007524013 0.0349999 0.02435934 -0.008866846 0.03099989 0.02058738 -0.007493853 0.0349999 0.02551907 -0.009971439 0.03099989 0.02435934 -0.008866846 0.0349999 0.02549642 -0.01157277 0.03099989 0.02551907 -0.009971439 0.0349999 0.01979815 -0.01979935 0.03099989 0.02549642 -0.01157277 0.0349999 0.004198968 -0.03726387 0.03099989 0.01157134 -0.02549701 0.03099989 0.01979815 -0.01979935 0.0349999 0.009969949 -0.0255196 0.03099989 0.01157134 -0.02549701 0.0349999 0.008865475 -0.02435982 0.03099989 0.009969949 -0.0255196 0.0349999 0.008865475 -0.02435982 0.0349999 0.007492661 -0.0205878 0.0349999 0.02722352 0.02722352 0.032 0.0363394 0.01271593 0.032 0.01271593 0.0363394 0.032 -0.03175133 0.01995223 0.03099989 -0.01995217 0.03175133 0.03099989 -0.004310429 0.03825783 0.032 -0.02048313 0.03259891 0.032 -0.03259891 0.02048313 0.032 -0.03825783 0.004310429 0.032 -0.0363394 -0.01271593 0.032 -0.02722352 -0.02722352 0.032 -0.01271593 -0.0363394 0.032 0.03175133 -0.01995223 0.03099989 0.01995217 -0.03175133 0.03099989 0.004310429 -0.03825783 0.032 0.02048313 -0.03259891 0.032 0.03259891 -0.02048313 0.032 0.03825783 -0.004310429 0.032 -0.02280491 -0.005591452 0.0349999 -0.02897781 -0.007763445 0.0349999 -0.02121317 -0.02121317 0.0349999 -0.02121317 -0.02121317 0.03549993 -0.01202052 -0.01202052 0.0349999 -0.007763445 -0.02897781 0.0349999 -0.01676625 -0.02487736 0.03549993 -0.01899647 -0.004368484 0.0349999 -0.01552623 -0.006923079 0.0349999 -0.0190767 -0.02315336 0.03549993 -0.0279091 0.001449286 0.0349999 -0.02897781 0.007763445 0.0349999 -0.02999997 5.899e-6 0.04349994 -0.02790892 -0.001449227 0.0349999 -0.02645975 -0.003959715 0.0349999 -0.02316278 -0.0190652 0.03549993 -0.02489399 -0.01674169 0.03549993 -0.02567601 -0.01551586 0.03609126 -0.02598071 -0.01499992 0.03749996 -0.02598071 -0.01499992 0.04349988 -0.02121317 0.02121317 0.0349999 -0.02597457 0.01501065 0.04349988 -0.007763445 0.02897781 0.0349999 -0.01498448 0.02598965 0.04349988 0.001449286 0.0279091 0.0349999 0.007763445 0.02897781 0.0349999 2.4271e-5 0.02999997 0.04349988 -0.003959715 0.02645975 0.0349999 -0.001449227 0.02790892 0.0349999 0.01202052 0.01202052 0.0349999 0.02121317 0.02121317 0.0349999 0.01676625 0.02487736 0.03549993 0.006923139 0.01552623 0.0349999 0.005408883 0.02105063 0.0349999 0.005409181 0.02394938 0.0349999 0.003959596 0.02645957 0.0349999 0.01554155 0.02566045 0.0360912 0.01502609 0.02596563 0.03749996 0.02280491 0.005591452 0.0349999 0.02897781 0.007763445 0.0349999 0.02121317 0.02121317 0.03549993 0.01899647 0.004368484 0.0349999 0.01552623 0.006923079 0.0349999 0.0190767 0.02315336 0.03549993 0.0279091 -0.001449286 0.0349999 0.02897781 -0.007763445 0.0349999 0.02999985 -8.38222e-6 0.04399991 0.02790892 0.001449227 0.0349999 0.02645975 0.003959715 0.0349999 0.02598071 0.01499992 0.04399991 0.02598071 0.01499992 0.03749996 0.02567601 0.01551586 0.03609126 0.02489399 0.01674169 0.03549993 0.02316278 0.0190652 0.03549993 0.02121317 -0.02121317 0.0349999 0.02597397 -0.01501119 0.04399991 0.007763445 -0.02897781 0.0349999 0.0149855 -0.02598875 0.04399991 -0.001449286 -0.0279091 0.0349999 -2.14141e-5 -0.02999985 0.04399991 0.003959715 -0.02645975 0.0349999 0.001449227 -0.02790892 0.0349999 -0.005409181 -0.02394938 0.0349999 -0.005408883 -0.02105063 0.0349999 -0.006923139 -0.01552623 0.0349999 -0.003959596 -0.02645957 0.0349999 -0.01502609 -0.02596563 0.03749996 -0.01554155 -0.02566045 0.0360912 -0.01202112 0.0120204 0.0349999 -0.02105063 0.005408883 0.0349999 -0.005591452 0.02280491 0.0349999 -0.004368484 0.01899647 0.0349999 -0.02394938 0.005409181 0.0349999 -0.02645957 0.003959596 0.0349999 0.02394938 -0.005409181 0.0349999 0.02645957 -0.003959596 0.0349999 0.02105063 -0.005408883 0.0349999 0.01202112 -0.0120204 0.0349999 0.005591452 -0.02280491 0.0349999 0.004368484 -0.01899647 0.0349999 -0.002560019 -0.01751965 0.0349999 -9.14638e-4 -0.0169751 0.0349999 0 -0.01695007 0.03494995 -0.003959715 -0.0185402 0.0349999 0.006925642 -0.0155251 0.0349999 9.14758e-4 -0.0169751 0.0349999 0.0185402 -0.003959715 0.0349999 0.01552534 -0.006924927 0.0349999 0.01751965 -0.002560019 0.0349999 0.0169751 -9.14775e-4 0.0349999 0.01695019 1.6456e-5 0.03495013 0.0169751 9.14618e-4 0.0349999 0.002560019 0.01751965 0.0349999 9.14638e-4 0.0169751 0.0349999 0.003959715 0.0185402 0.0349999 4.53373e-4 0.01695621 0.03496217 -0.006925642 0.0155251 0.0349999 -9.14758e-4 0.0169751 0.0349999 -4.57447e-4 0.01695626 0.03496247 -0.0185402 0.003959715 0.0349999 -0.01552534 0.006924927 0.0349999 -0.01751965 0.002560019 0.0349999 -0.0169751 9.14775e-4 0.0349999 -0.01695626 4.57342e-4 0.03496247 -0.0169751 -9.14618e-4 0.0349999 -0.01695621 -4.56468e-4 0.03496235 0.003180325 0.03836816 0.0464999 0.01900637 0.03348135 0.0464999 0.01531755 0.02979272 0.0464999 0.0201106 0.03282994 0.04525852 0.02119863 0.03213816 0.04399991 0.01721459 0.02815413 0.04399991 -0.01324373 0.03615015 0.0464999 4.27461e-4 0.03734344 0.0464999 0.001593351 0.03617739 0.0464999 0.001166701 0.03458327 0.0464999 -0.03613954 0.01327246 0.0464999 -0.02721267 0.02723443 0.0464999 -0.02884066 0.01704317 0.0464999 -0.001166701 0.03691667 0.0464999 -0.01702082 0.02885371 0.0464999 -0.0383706 -0.003149867 0.0464999 -0.03734344 4.27461e-4 0.0464999 -0.03349632 -0.01898002 0.0464999 -0.03532242 -0.001593351 0.0464999 -0.03691667 -0.001166701 0.0464999 -0.03215456 -0.02117383 0.03749996 -0.03284555 -0.02008509 0.04525846 -0.02816975 -0.01718902 0.04399991 -0.0341565 -4.27461e-4 0.0464999 -0.03348499 9.99905e-4 0.0464999 -0.02980697 -0.01529061 0.0464999 -0.03215456 -0.02117383 0.04399991 -0.03182411 -0.0216673 0.03608894 -0.03099286 -0.02284049 0.03549993 -0.02919125 -0.02510213 0.03549993 -0.02722352 -0.02722352 0.03549993 -0.02511334 -0.02918154 0.03549993 0.02722352 0.02722352 0.03549993 0.02511334 0.02918154 0.03549993 0.02286422 0.03097534 0.03549993 0.02169179 0.03180742 0.03608894 0.02119863 0.03213816 0.03749996 0.02919125 0.02510213 0.03549993 0.03099286 0.02284049 0.03549993 0.03182411 0.0216673 0.03608894 0.01539176 0.02633136 0.04399991 0.01520842 0.02614796 0.04374915 0.01502609 0.02596563 0.04349988 -0.003180027 -0.03836822 0.0464999 -0.01900637 -0.03348135 0.0464999 -0.01531755 -0.02979266 0.0464999 -0.0201106 -0.03282994 0.04525852 -0.02119863 -0.03213816 0.04399991 -0.01721459 -0.02815413 0.04399991 0.01324409 -0.03614997 0.0464999 -4.27461e-4 -0.03734344 0.0464999 -0.001593351 -0.03617739 0.0464999 -0.001166701 -0.03458327 0.0464999 0.03613972 -0.01327198 0.0464999 0.02721303 -0.02723401 0.0464999 0.02883851 -0.01704692 0.0464999 0.001166701 -0.03691667 0.0464999 0.01701706 -0.02885591 0.0464999 0.0383706 0.003150165 0.0464999 0.03734344 -4.27461e-4 0.0464999 0.03349632 0.01898002 0.0464999 0.03532242 0.001593351 0.0464999 0.03691667 0.001166701 0.0464999 0.03215456 0.02117383 0.03749996 0.03284555 0.02008509 0.04525846 0.02816975 0.01718902 0.04399991 0.0341565 4.27461e-4 0.0464999 0.03348511 -0.001001358 0.0464999 0.02980715 0.01529079 0.0464999 0.03215456 0.02117383 0.04399991 -0.02286422 -0.03097534 0.03549993 -0.02169179 -0.03180742 0.03608894 -0.02119863 -0.03213816 0.03749996 -0.01502609 -0.02596563 0.04399991 -0.01647496 1.79885e-6 0.0344749 -1.75862e-6 0.01647496 0.0344749 -0.03691667 -0.001166701 0.03659999 -0.03734374 4.27051e-4 0.03659999 -0.0353229 -0.001593708 0.03659999 -0.03458327 0.001166701 0.0464999 -0.0341562 -4.27051e-4 0.03659999 -0.03617739 0.001593351 0.0464999 -0.03458327 0.001166701 0.03659999 -0.03617697 0.001593708 0.03659999 0.001593351 -0.03532242 0.0464999 0.001166701 -0.03691667 0.03659999 -4.27051e-4 -0.03734374 0.03659999 9.6957e-4 -0.03348559 0.0464999 4.27461e-4 -0.0341565 0.0464999 0.001593708 -0.0353229 0.03659999 4.27051e-4 -0.0341562 0.03659999 -0.001166701 -0.03458327 0.03659999 -0.001593708 -0.03617697 0.03659999 0.03691667 0.001166701 0.03659999 0.03734374 -4.27051e-4 0.03659999 0.0353229 0.001593708 0.03659999 0.03458327 -0.001166701 0.0464999 0.0341562 4.27051e-4 0.03659999 0.03617739 -0.001593351 0.0464999 0.03458327 -0.001166701 0.03659999 0.03617697 -0.001593708 0.03659999 -0.001593351 0.03532242 0.0464999 -0.001166701 0.03691667 0.03659999 4.27051e-4 0.03734374 0.03659999 -9.71149e-4 0.03348559 0.0464999 -4.27461e-4 0.0341565 0.0464999 -0.001593708 0.0353229 0.03659999 -4.27051e-4 0.0341562 0.03659999 0.001166701 0.03458327 0.03659999 0.001593708 0.03617697 0.03659999 -0.007579982 -0.0321176 0.04600012 -0.01631957 -0.02868223 0.04500627 -0.0153653 -0.02948534 0.04624891 0.009010314 -0.03174597 0.04599994 7.39098e-4 -0.03299164 0.046 0.0233221 -0.0233469 0.04599976 0.01670247 -0.02846086 0.04599982 0.02844369 -0.01673179 0.04599958 0.03299099 -7.70457e-4 0.04599952 0.03173708 -0.009041666 0.04599952 0.02869707 0.01629346 0.04500603 0.02949953 0.01533865 0.04624861 0.03212457 0.00755012 0.04599946 0.007579088 0.03211784 0.04600006 0.01631951 0.02868223 0.04500633 0.0153653 0.02948534 0.04624891 -0.009012997 0.03174531 0.04599994 -7.40688e-4 0.03299158 0.046 -0.02332574 0.02334326 0.04599982 -0.01670616 0.02845877 0.04599982 -0.02844578 0.01672816 0.04599976 -0.03299099 7.6901e-4 0.04599976 -0.03173786 0.009039044 0.04599976 -0.02869707 -0.0162934 0.04500603 -0.02949953 -0.01533848 0.04624873 -0.03212445 -0.007550776 0.04599976 -0.01541179 -0.02917999 0.04600018 -0.003434181 -0.0328207 0.04399991 0.01101517 -0.03110694 0.04399991 0.03109699 -0.01104348 0.04399991 0.02332365 -0.02334487 0.04399991 0.0328238 0.003404319 0.04399991 0.02919387 0.01538532 0.04599946 0.01541179 0.02917999 0.04600012 0.003434062 0.0328207 0.04399991 -0.01101523 0.03110694 0.04399991 1.03828e-4 0.03049945 0.04399991 -0.03109699 0.01104342 0.04399991 -0.02332371 0.02334487 0.04399991 -0.02642154 0.01523602 0.04399991 -0.01520997 0.02643668 0.04399991 -0.0328238 -0.003404319 0.04399991 -0.03049951 -7.36846e-5 0.04399991 -0.02919405 -0.01538515 0.04599976 -0.02634656 -0.01536571 0.04399991 -2.38539e-6 0.01694995 0.03494989 -0.01694995 1.28375e-6 0.03494989 -0.0261631 -0.01518225 0.04374915 -0.03574997 0 0.03560853 0 -0.03574997 0.03560853 0.03574997 0 0.03560853 0 0.03574997 0.03560853 0.01874995 -0.07499998 -0.01224988 0.01874995 -0.04149997 -0.01024997 0.01874995 -0.04149997 0.02274996 0.01725 -0.04149997 0.02274996 0.01874995 -0.0420857 0.02416414 0.01725 -0.0420857 0.02416414 0.01874995 -0.0420857 -0.01166421 0.01725 -0.04149997 -0.01024997 0.01874995 -0.04349988 -0.01224988 0.01725 -0.0420857 -0.01166421 0.01725 -0.04349988 -0.01224988 0.01874995 -0.04349988 0.02474999 0.01874995 -0.07499998 0.02474999 0.01787132 -0.07712131 0.02474999 0.01787132 -0.07712131 -0.01224988 0.01725 -0.07499998 -0.01224988 0.01725 -0.07499998 0.02474999 0.01681023 -0.07606029 0.02474999 0.01725 -0.04349988 0.02474999 -0.01574999 -0.078 -0.02224993 -0.008249998 -0.078 0.01824992 -0.009249985 -0.078 0.01924997 -0.009249985 -0.07649999 0.01924997 -0.009543001 -0.078 0.01995694 -0.009543001 -0.07649999 0.01995694 0.009749948 -0.078 0.02274996 -0.007249951 -0.078 0.01924997 -0.008249998 -0.07649999 0.01824992 0.009749948 -0.078 -0.01024997 -0.008249998 -0.078 -0.01574999 -0.01095694 -0.078 -0.01804304 0.008749961 -0.078 0.02374988 -0.007249951 -0.078 0.02374988 -0.007249951 -0.07649999 0.01924997 0.008749961 -0.07712131 0.02587121 -0.007249951 -0.07712131 0.02587121 -0.007249951 -0.07649999 0.02374988 0.008749961 -0.07649999 0.02374988 0.008749961 -0.07606029 0.02481025 0.01574999 -0.078 0.02474999 0.01074993 -0.078 0.02374988 0.009749948 -0.07649999 0.02274996 0.01104301 -0.078 0.02445685 0.01074993 -0.07649999 0.02374988 0.01174998 -0.078 0.02474999 0.01104301 -0.07649999 0.02445685 0.01174998 -0.07649999 0.02474999 0.01174998 -0.078 -0.01224988 0.01574999 -0.078 -0.01224988 0.01104301 -0.078 -0.01195693 0.01074993 -0.078 -0.01124989 0.01574999 -0.07649999 0.02474999 0.01574999 -0.07649999 -0.01224988 0.01174998 -0.07649999 -0.01224988 0.01104301 -0.07649999 -0.01195693 0.01074993 -0.07649999 -0.01124989 0.008749961 -0.078 -0.01124989 0.009749948 -0.07649999 -0.01024997 -0.007249951 -0.078 -0.02124989 0.008749961 -0.078 -0.02124989 0.008749961 -0.07649999 -0.01124989 -0.007249951 -0.078 -0.01674991 -0.007249951 -0.07712131 -0.02337121 0.008749961 -0.07712131 -0.02337121 0.008749961 -0.07649999 -0.02124989 -0.007249951 -0.07649999 -0.02124989 -0.007249951 -0.07649999 -0.01674991 -0.009249985 -0.078 -0.01674991 -0.008249998 -0.07649999 -0.01574999 -0.01024997 -0.078 -0.01774996 -0.009543001 -0.078 -0.01745688 -0.009249985 -0.07649999 -0.01674991 -0.009543001 -0.07649999 -0.01745688 -0.01024997 -0.07649999 -0.01774996 -0.01124989 -0.078 -0.01874995 -0.01095694 -0.07649999 -0.01804304 -0.01124989 -0.078 -0.02124989 -0.01124989 -0.07649999 -0.01874995 -0.01154297 -0.078 -0.02195692 -0.01124989 -0.07649999 -0.02124989 -0.01224988 -0.078 -0.02224993 -0.01154297 -0.07649999 -0.02195692 -0.01224988 -0.07649999 -0.02224993 -0.01224988 -0.078 0.02474999 -0.01574999 -0.078 0.02474999 -0.01787132 -0.07712131 0.02474999 -0.01154297 -0.078 0.02445685 -0.01124989 -0.078 0.02374988 -0.01124989 -0.078 0.02124989 -0.01095694 -0.078 0.02054297 -0.01024997 -0.078 0.02024996 -0.01787132 -0.07712131 -0.02224993 -0.01574999 -0.07649999 -0.02224993 -0.01574999 -0.07649999 0.02474999 -0.01681023 -0.07606029 0.02474999 -0.01224988 -0.07649999 0.02474999 -0.01154297 -0.07649999 0.02445685 -0.01124989 -0.07649999 0.02374988 -0.01124989 -0.07649999 0.02124989 -0.01095694 -0.07649999 0.02054297 -0.01024997 -0.07649999 0.02024996 -0.01874995 -0.0420857 0.02416414 -0.01874995 -0.07499998 0.02474999 -0.01874995 -0.04349988 0.02474999 -0.01725 -0.04349988 0.02474999 -0.01725 -0.0420857 0.02416414 -0.01874995 -0.04349988 -0.02224993 -0.01874995 -0.07499998 -0.02224993 -0.01874995 -0.0420857 -0.0216642 -0.01874995 -0.04149997 -0.02024996 -0.01874995 -0.04149997 0.02274996 -0.01725 -0.07499998 0.02474999 -0.01725 -0.07499998 -0.02224993 -0.01725 -0.04349988 -0.02224993 -0.01725 -0.0420857 -0.0216642 -0.01725 -0.04149997 -0.02024996 -0.01725 -0.04149997 0.02274996 0.008164167 -0.03208571 -0.02424997 -0.005249977 -0.03149998 -0.02424997 0.006749987 -0.03149998 -0.02424997 0.006749987 -0.03149998 -0.02274996 0.008164167 -0.03208571 -0.02274996 -0.006664097 -0.03208571 -0.02424997 -0.005249977 -0.03149998 -0.02274996 0.008749961 -0.03349989 -0.02424997 -0.007249951 -0.03349989 -0.02424997 -0.006664097 -0.03208571 -0.02274996 0.008749961 -0.07499998 -0.02424997 -0.007249951 -0.07499998 -0.02424997 -0.007249951 -0.03349989 -0.02274996 -0.002239942 -0.04187977 -0.02424997 0.002239942 -0.0341202 -0.02424997 -0.004479885 -0.03799992 -0.02424997 -0.002239942 -0.0341202 -0.02424997 -0.007249951 -0.07499998 -0.02274996 0.004479885 -0.03799992 -0.02424997 0.008749961 -0.07499998 -0.02274996 0.002239942 -0.04187977 -0.02424997 0.008749961 -0.03349989 -0.02274996 0.002979934 -0.03799992 -0.02274996 0.00148952 -0.03541904 -0.02274996 0.00148952 -0.04058074 -0.02274996 -0.00148952 -0.04058074 -0.02274996 -0.002979934 -0.03799992 -0.02274996 -0.00148952 -0.03541904 -0.02274996 -0.01816415 -0.03208571 0.0267499 0.01674991 -0.03149998 0.0267499 -0.01674991 -0.03149998 0.0267499 -0.01674991 -0.03149998 0.02524989 -0.01816415 -0.03208571 0.02524989 0.01816415 -0.03208571 0.0267499 0.01674991 -0.03149998 0.02524989 -0.01874995 -0.03349989 0.0267499 0.01874995 -0.03349989 0.0267499 0.01816415 -0.03208571 0.02524989 -0.01874995 -0.06699997 0.0267499 0.01874995 -0.06699997 0.0267499 0.01874995 -0.03349989 0.02524989 0.002239942 -0.04187977 0.0267499 -0.002239942 -0.0341202 0.0267499 0.004479885 -0.03799992 0.0267499 0.002239942 -0.0341202 0.0267499 -0.01816415 -0.06841421 0.0267499 0.01816415 -0.06841421 0.0267499 0.01874995 -0.06699997 0.02524989 0.01074993 -0.069 0.0267499 0.01674991 -0.069 0.0267499 0.01816415 -0.06841421 0.02524989 -0.009249985 -0.069 0.0267499 -0.01674991 -0.069 0.0267499 0.01674991 -0.069 0.02524989 -0.007835745 -0.06958574 0.0267499 0.009335756 -0.06958574 0.0267499 0.01074993 -0.069 0.02524989 -0.007249951 -0.07099997 0.0267499 0.008749961 -0.07099997 0.0267499 0.009335756 -0.06958574 0.02524989 -0.007249951 -0.07499998 0.0267499 0.008749961 -0.07499998 0.0267499 0.008749961 -0.07099997 0.02524989 0.008749961 -0.07499998 0.02524989 -0.007249951 -0.07499998 0.02524989 -0.007249951 -0.07099997 0.02524989 -0.007835745 -0.06958574 0.02524989 -0.009249985 -0.069 0.02524989 -0.01674991 -0.069 0.02524989 -0.01816415 -0.06841421 0.02524989 -0.004479885 -0.03799992 0.0267499 -0.01874995 -0.06699997 0.02524989 -0.002239942 -0.04187977 0.0267499 -0.01874995 -0.03349989 0.02524989 -0.002979934 -0.03799992 0.02524989 -0.00148952 -0.03541904 0.02524989 -0.00148952 -0.04058074 0.02524989 0.00148952 -0.04058074 0.02524989 0.002979934 -0.03799992 0.02524989 0.00148952 -0.03541904 0.02524989 -0.007249951 -0.07606029 0.02481025 -0.007249951 -0.07606029 -0.02231019 0.008749961 -0.07606029 -0.02231019 -0.01681023 -0.07606029 -0.02224993 0.01681023 -0.07606029 -0.01224988 -0.007892966 -0.02946066 0.05449998 -0.001159965 -0.03142297 0.05449998 0.003167808 -0.03258216 0.05449998 0.001520276 -0.03422963 0.05216991 0.007892787 -0.02946072 0.05449998 0.004326939 -0.03690999 0.05449998 0.002076685 -0.03630644 0.05216991 -0.004326939 -0.03458982 0.05449998 -5.56461e-4 -0.03367316 0.05216991 -0.005120158 -0.03887784 0.05449998 -0.003167808 -0.03891777 0.05449998 -0.002076685 -0.0351935 0.05216991 -0.006489813 -0.03794896 0.05449998 -0.005704522 -0.03826534 0.05449998 -0.002937674 -0.04098135 0.05449998 0.001159965 -0.04007697 0.05449998 -0.001520276 -0.03727018 0.05216991 0 -0.04174953 0.05449998 5.56461e-4 -0.03782665 0.05216991 0.02156668 -0.02156668 0.05449998 -0.02946072 0.007892727 0.05449998 -0.03142297 0.001159965 0.05449998 -0.03258216 -0.003167808 0.05449998 -0.03422963 -0.001520276 0.05216991 -0.03794896 -0.006489813 0.05449998 -0.03690999 -0.004326939 0.05449998 -0.03630644 -0.002076685 0.05216991 -0.02946066 -0.007892966 0.05449998 -0.03678762 -0.0113539 0.05449998 -0.03458982 0.004326939 0.05449998 -0.03367316 5.56461e-4 0.05216991 -0.02156668 0.02156668 0.05449998 -0.03891777 0.003167808 0.05449998 -0.0351935 0.002076685 0.05216991 -0.04174953 0 0.05449998 -0.04007697 -0.001159965 0.05449998 -0.03727018 0.001520276 0.05216991 -0.04098135 0.002937674 0.05449998 -0.03887784 -0.005120158 0.05449998 -0.03782665 -5.56461e-4 0.05216991 -0.04098135 -0.002937674 0.05449998 -0.03826534 -0.005704522 0.05449998 0.007892966 0.02946066 0.05449998 0.001159965 0.03142297 0.05449998 -0.003167808 0.03258216 0.05449998 -0.001520276 0.03422963 0.05216991 -0.007892787 0.02946072 0.05449998 -0.004326939 0.03690999 0.05449998 -0.002076685 0.03630644 0.05216991 0.004326939 0.03458982 0.05449998 5.56461e-4 0.03367316 0.05216991 0.005120158 0.03887784 0.05449998 0.003167808 0.03891777 0.05449998 0.002076685 0.0351935 0.05216991 0.006489813 0.03794896 0.05449998 0.005704522 0.03826534 0.05449998 0.002937436 0.04098165 0.05449998 -0.001159965 0.04007697 0.05449998 0.001520276 0.03727018 0.05216991 -3.25548e-7 0.04174995 0.05449998 -5.56461e-4 0.03782665 0.05216991 0.02946072 -0.007892727 0.05449998 0.03142297 -0.001159965 0.05449998 0.03258216 0.003167808 0.05449998 0.03422963 0.001520276 0.05216991 0.03794896 0.006489813 0.05449998 0.03690999 0.004326939 0.05449998 0.03630644 0.002076685 0.05216991 0.02946066 0.007892966 0.05449998 0.03220391 0.02109843 0.05449998 0.03458982 -0.004326939 0.05449998 0.03367316 -5.56461e-4 0.05216991 0.03891777 -0.003167808 0.05449998 0.0351935 -0.002076685 0.05216991 0.04174953 0 0.05449998 0.04007697 0.001159965 0.05449998 0.03727018 -0.001520276 0.05216991 0.04098135 -0.002937674 0.05449998 0.03887784 0.005120158 0.05449998 0.03782665 5.56461e-4 0.05216991 0.04098135 0.002937674 0.05449998 0.03826534 0.005704522 0.05449998 -0.01454114 -0.03564822 0.05449998 -0.02156668 -0.02156668 0.05449998 -0.02121317 -0.02121317 0.05399996 -0.03483206 -0.01890772 0.05449998 -0.02897769 -0.007764697 0.05399996 -0.04271167 -0.03047376 0.05449998 -0.02190738 -0.0316593 0.05449998 -0.02505999 -0.03104609 0.05449998 -0.02764761 -0.03294861 0.05449998 -0.03225558 -0.04092985 0.05449998 -0.007764697 -0.02897769 0.05399996 0.007764458 -0.02897775 0.05399996 0.02121317 -0.02121317 0.05399996 0.002937674 -0.04098135 0.05449998 0.02897775 -0.007764458 0.05399996 0.02156668 0.02156668 0.05449998 0.02897769 0.007764697 0.05399996 0.02109861 0.03220379 0.05449998 0.02121317 0.02121317 0.05399996 0.007764697 0.02897769 0.05399996 -0.007764458 0.02897775 0.05399996 -0.02121317 0.02121317 0.05399996 -0.03826534 0.005704522 0.05449998 -0.00568217 0.04174959 0.05449998 -0.02897775 0.007764458 0.05399996 -0.03500562 -0.01602637 0.05449998 -0.04384905 -0.02712327 0.05449998 -0.03664267 -0.02115565 0.05449998 -0.04188323 -0.0241813 0.05449998 -0.03664267 -0.02115565 0.04499989 -0.04384905 -0.02712327 0.0382499 -0.04188323 -0.0241813 0.0382499 -0.03464263 -0.01769155 0.04699999 -0.03508561 -0.01952123 0.04646348 -0.03570288 -0.02040404 0.04583114 -0.03500562 -0.01602637 0.04699999 -0.03473424 -0.01684015 0.04699999 -0.03678709 -0.0113554 0.04699999 -0.03794896 -0.006489813 0.04699999 -0.03826534 -0.005704522 0.04699999 -0.03887784 -0.005120158 0.04699999 -0.0409823 -0.002935588 0.04699999 -0.04174995 0 0.04699999 -0.03887784 0.005120158 0.05449998 -0.0409823 0.002935588 0.04699999 -0.03887784 0.005120158 0.04699999 -0.03794896 0.006489813 0.05449998 -0.03826534 0.005704522 0.04699999 -0.007682323 0.04374957 0.05449998 -0.03405863 0.01795148 0.05449998 -0.03794896 0.006489813 0.04699999 -0.007096469 0.04233539 0.05449998 -0.0076828 0.05225998 0.05449998 -0.02680337 0.02763736 0.05449998 -0.03405857 0.0179516 0.04699999 -0.02547228 0.02956569 0.05449998 -0.02680337 0.02763736 0.04699999 -0.0249812 0.03185677 0.05449998 -0.02547228 0.02956569 0.04699999 -0.01876986 0.05225998 0.05449998 -0.02476918 0.04634767 0.05449998 -0.0249812 0.03185677 0.04699999 -0.0229811 0.05053329 0.05449998 -0.02476918 0.04634767 0.04699999 -0.0229811 0.05053329 0.04699999 -0.01876986 0.05225998 0.04699999 -0.0076828 0.05225998 0.04699999 -0.007682323 0.04374957 0.04699999 -0.007096469 0.04233539 0.04699999 -3.25548e-7 0.04174995 0.04699999 -0.00568217 0.04174959 0.04699999 0.002935886 0.0409826 0.04699999 0.005120158 0.03887784 0.04699999 0.005704522 0.03826534 0.04699999 0.006489813 0.03794896 0.04699999 0.0213744 0.03202158 0.03574997 0.01213043 0.03653877 0.04699999 0.01749187 0.03429687 0.04699999 0.01874017 0.03363102 0.04641443 0.02032119 0.03270006 0.03700131 0.01924997 0.03334194 0.04499989 0.01924997 0.03334194 0.0382499 0.03363102 0.01874017 0.04641443 0.02722352 0.02722352 0.03574997 0.03202158 0.0213744 0.03574997 0.0326991 0.02032274 0.03699958 0.03334194 0.01924997 0.04499989 0.03794896 0.006489813 0.04699999 0.03653883 0.01213014 0.04699999 0.03429687 0.01749187 0.04699999 0.03826534 0.005704522 0.04699999 0.03887784 0.005120158 0.04699999 0.0409823 0.002935588 0.04699999 0.04174995 0 0.04699999 0.03826534 -0.005704522 0.05449998 0.03887784 -0.005120158 0.05449998 0.0409823 -0.002935588 0.04699999 0.005704522 -0.03826534 0.05449998 0.03887784 -0.005120158 0.04699999 0.006489813 -0.03794896 0.05449998 0.03794896 -0.006489813 0.05449998 0.03826534 -0.005704522 0.04699999 0.02109724 -0.03220462 0.05449998 0.03220307 -0.0210995 0.05449998 0.03794896 -0.006489813 0.04699999 0.02109825 -0.03220403 0.04699999 0.03220385 -0.02109849 0.04699999 0.006489813 -0.03794896 0.04699999 0.005120158 -0.03887784 0.05449998 0.005704522 -0.03826534 0.04699999 0.005120158 -0.03887784 0.04699999 0.002935588 -0.0409823 0.04699999 0 -0.04174995 0.04699999 -0.002935588 -0.0409823 0.04699999 -0.005120158 -0.03887784 0.04699999 -0.005704522 -0.03826534 0.04699999 -0.006489813 -0.03794896 0.04699999 -0.01749187 -0.03429687 0.04699999 -0.0121302 -0.03653883 0.04699999 -0.02190738 -0.0316593 0.03574997 -0.01874017 -0.03363102 0.04641443 -0.02164173 -0.03184145 0.03574997 -0.0213744 -0.03202158 0.03574997 -0.02032107 -0.03270018 0.03700149 -0.01924997 -0.03334194 0.04499989 -0.01924997 -0.03334194 0.0382499 -0.02505999 -0.03104609 0.03574997 -0.03225558 -0.04092985 0.0382499 -0.02764761 -0.03294861 0.03574997 -0.03096151 -0.03868842 0.03574997 -0.04271167 -0.03047376 0.0382499 0.03297817 -0.001198053 0.04699999 0.02837705 -0.01684457 0.04699999 0.0351935 -0.002076685 0.04699999 0.03727018 -0.001520276 0.04699999 0.03630644 0.002076685 0.04699999 0.03782665 5.56461e-4 0.04699999 0.03422963 0.001520276 0.04699999 0.02952629 0.01473754 0.04699999 0.0288698 0.01598525 0.04641968 0.03187513 0.008540928 0.05199992 0.0233345 0.0233345 0.05199992 0.03187555 -0.008540987 0.05199992 0.03367316 -5.56461e-4 0.04699999 0.01684439 -0.02837717 0.04699999 0.0233342 -0.0233342 0.05199992 0.001520276 -0.03422963 0.04699999 0.001197814 -0.03297817 0.04699999 0.008540987 -0.03187555 0.05199992 5.56461e-4 -0.03782665 0.04699999 0.002076685 -0.03630644 0.04699999 -0.01473754 -0.02952629 0.04699999 -0.008540928 -0.03187513 0.05199992 -5.56461e-4 -0.03367316 0.04699999 -0.01598495 -0.02887004 0.04641997 -0.002076685 -0.0351935 0.04699999 -0.001520276 -0.03727018 0.04699999 -0.03630644 -0.002076685 0.04699999 -0.03422963 -0.001520276 0.04699999 -0.03297817 0.001197814 0.04699999 -0.03367316 5.56461e-4 0.04699999 -0.02952629 -0.01473754 0.04699999 -0.03782665 -5.56461e-4 0.04699999 -0.03727018 0.001520276 0.04699999 -0.0351935 0.002076685 0.04699999 -0.01684457 0.02837705 0.04699999 -0.002076685 0.03630644 0.04699999 -0.001520276 0.03422963 0.04699999 -0.001198053 0.03297817 0.04699999 5.56461e-4 0.03367316 0.04699999 -5.56461e-4 0.03782665 0.04699999 0.001520276 0.03727018 0.04699999 0.002076685 0.0351935 0.04699999 -0.02887022 -0.01598459 0.04642039 -0.03187513 -0.008540928 0.05199992 -0.0233345 -0.0233345 0.05199992 -0.02857875 -0.01649999 0.04699999 -0.02837717 0.01684439 0.04699999 -0.03187555 0.008540987 0.05199992 -0.0233342 0.0233342 0.05199992 -0.008540987 0.03187555 0.05199992 0.01473754 0.02952629 0.04699999 0.008540928 0.03187513 0.05199992 0.01598423 0.0288704 0.04642075 0.02897781 0.007763445 0.05199992 0.02121317 0.02121317 0.05199992 0.02897781 -0.007763445 0.05199992 0.02121317 -0.02121317 0.05199992 0.007763445 -0.02897781 0.05199992 -0.007763445 -0.02897781 0.05199992 -0.02121317 -0.02121317 0.05199992 -0.02897781 -0.007763445 0.05199992 0.007763445 0.02897781 0.05199992 -0.02897781 0.007763445 0.05199992 -0.02121317 0.02121317 0.05199992 -0.007763445 0.02897781 0.05199992 0.0233345 0.0233345 0.04699999 0.02857875 0.01649999 0.04499989 0.02857875 0.01649999 0.0382499 0.02793198 0.0175727 0.03699749 0.02724671 0.01861763 0.03574997 0.02008903 0.02618062 0.04699999 0.01649999 0.02857875 0.04699999 -0.0233345 -0.0233345 0.04699999 -0.02618062 -0.02008903 0.04699999 -0.02333432 -0.02333432 0.03574997 -0.02724671 -0.01861763 0.03574997 -0.04094392 -0.02870607 0.03574997 -0.02793163 -0.01757329 0.03699678 -0.04063326 -0.02634638 0.03574997 -0.04137039 -0.02744954 0.03574997 -0.01649999 -0.02857875 0.04499989 -0.01861763 -0.02724671 0.03574997 -0.01757276 -0.02793192 0.03699743 -0.01649999 -0.02857875 0.0382499 0.03334194 0.01924997 0.0382499 0.02333432 0.02333432 0.03574997 0.01861763 0.02724671 0.03574997 0.01757341 0.02793157 0.03699672 0.01649999 0.02857875 0.04499989 0.01649999 0.02857875 0.0382499 -0.02857875 -0.01649999 0.04499989 -0.02857875 -0.01649999 0.0382499 -0.003306031 -0.03574848 -0.02424997 2.96525e-4 -0.03401094 -0.02424997 0.003602862 -0.03626239 -0.02424997 0.003602862 -0.03626239 -0.02394998 -6.26996e-4 -0.03669989 -0.02424997 0.001439332 -0.03810697 -0.02424997 0.003306031 -0.04025149 -0.02424997 0.00330621 -0.04025137 -0.02394998 8.12404e-4 -0.03680694 -0.02424997 2.96652e-4 -0.03401094 -0.02394998 -0.001439332 -0.03789287 -0.02424997 -0.003602862 -0.03973758 -0.02424997 -0.00330621 -0.0357486 -0.02394998 -2.96525e-4 -0.0419889 -0.02424997 -0.003602862 -0.03973758 -0.02394998 6.26996e-4 -0.03930008 -0.02424997 -8.12404e-4 -0.03919303 -0.02424997 -2.96652e-4 -0.0419889 -0.02394998 0.001439332 -0.03810697 -0.02244997 8.12404e-4 -0.03680694 -0.02244997 6.26996e-4 -0.03930008 -0.02244997 -8.12404e-4 -0.03919303 -0.02244997 -0.001439332 -0.03789287 -0.02244997 -6.26996e-4 -0.03669989 -0.02244997 -0.001801431 -0.03886878 -0.02195 -0.001888096 -0.03734046 -0.02195 8.68792e-4 -0.03980135 -0.02195 -6.59485e-4 -0.03988814 -0.02195 0.001888096 -0.03865945 -0.02195 0.001801431 -0.03713119 -0.02195 -0.001801431 -0.03886878 -0.01984995 -8.68777e-4 -0.03619849 -0.01984995 8.68777e-4 -0.03980129 -0.01984995 0.001801431 -0.03713119 -0.01984995 6.59485e-4 -0.03611183 -0.02195 -0.001486182 -0.03871673 -0.01984995 -7.16753e-4 -0.0365138 -0.01984995 7.16753e-4 -0.03948611 -0.01984995 0.001486182 -0.03728324 -0.01984995 -8.68792e-4 -0.03619849 -0.02195 0.001486182 -0.03728324 -0.01624995 7.16753e-4 -0.03948611 -0.01624995 -7.16753e-4 -0.0365138 -0.01624995 -0.001486182 -0.03871673 -0.01624995 -2.96525e-4 -0.0419889 0.0267499 0.003306031 -0.04025149 0.0267499 0.003602862 -0.03626239 0.0267499 0.003602862 -0.03626239 0.02644991 6.26996e-4 -0.03930008 0.0267499 8.12404e-4 -0.03680694 0.0267499 2.96525e-4 -0.03401094 0.0267499 2.96652e-4 -0.03401094 0.02644991 0.001439332 -0.03810697 0.0267499 0.00330621 -0.04025137 0.02644991 -8.12404e-4 -0.03919303 0.0267499 -0.003602862 -0.03973758 0.0267499 -2.96652e-4 -0.0419889 0.02644991 -0.003306031 -0.03574848 0.0267499 -0.003602862 -0.03973758 0.02644991 -6.26996e-4 -0.03669989 0.0267499 -0.001439332 -0.03789287 0.0267499 -0.00330621 -0.0357486 0.02644991 8.12404e-4 -0.03680694 0.0249499 0.001439332 -0.03810697 0.0249499 -6.26996e-4 -0.03669989 0.0249499 -0.001439332 -0.03789287 0.0249499 -8.12404e-4 -0.03919303 0.0249499 6.26996e-4 -0.03930008 0.0249499 -0.001801431 -0.03886878 0.02445 -6.59485e-4 -0.03988814 0.02445 -8.68792e-4 -0.03619849 0.02445 -0.001888096 -0.03734046 0.02445 6.59485e-4 -0.03611183 0.02445 0.001801431 -0.03713119 0.02445 -0.001801431 -0.03886878 0.02234995 8.68777e-4 -0.03980129 0.02234995 -8.68777e-4 -0.03619849 0.02234995 0.001801431 -0.03713119 0.02234995 0.001888096 -0.03865945 0.02445 -0.001486182 -0.03871673 0.02234995 7.16753e-4 -0.03948611 0.02234995 -7.16753e-4 -0.0365138 0.02234995 0.001486182 -0.03728324 0.02234995 8.68792e-4 -0.03980135 0.02445 0.001486182 -0.03728324 0.01874995 -7.16753e-4 -0.0365138 0.01874995 7.16753e-4 -0.03948611 0.01874995 -0.001486182 -0.03871673 0.01874995 -0.04119998 -0.01975369 -0.1151283 -0.03749996 -0.01975351 -0.1151291 -0.03749996 -0.01414203 -0.1261421 -0.03749996 -0.01456636 -0.1265664 -0.04119998 -0.01414203 -0.1261421 -0.03749996 -0.003129065 -0.1317535 -0.03749996 -0.01408302 -0.1277331 -0.04119998 -0.01782023 -0.1029206 -0.03749996 -0.01781958 -0.1029193 -0.03749996 -0.02059996 -0.112 -0.03749996 -0.01944535 -0.1314454 -0.03749996 -0.0265628 -0.1191174 -0.03749996 -0.02108323 -0.1131667 -0.03749996 -0.01689982 -0.1265664 -0.03749996 -0.01573312 -0.1260831 -0.04119998 -0.009079337 -0.09417968 -0.03749996 -0.009080588 -0.09418034 -0.03749996 -0.00711745 -0.08543699 -0.03749996 -0.01456636 -0.09743356 -0.03749996 -0.02341663 -0.1108332 -0.03749996 -0.02224993 -0.11035 -0.03749996 -0.02108323 -0.1108332 -0.04119998 0.003128409 -0.09224623 -0.03749996 0.003129065 -0.09224647 -0.03749996 0 -0.09139996 -0.03749996 -0.001166701 -0.08858323 -0.03749996 -0.001649916 -0.08974999 -0.03749996 -0.001166701 -0.09091669 -0.04119998 0.01414203 -0.09785783 -0.03749996 0.01414203 -0.09785783 -0.03749996 0.01408302 -0.09626686 -0.03749996 0.01456636 -0.0951001 -0.03749996 0.00711745 -0.08543705 -0.03749996 0.001166701 -0.09091669 -0.04119998 0.01975369 -0.1088715 -0.03749996 0.01975351 -0.1088709 -0.03749996 0.01456636 -0.09743356 -0.04119998 0.01456636 -0.09743356 -0.04119998 0.01573312 -0.09791684 -0.04119998 0 -0.09139996 -0.04119998 0.01408302 -0.09626686 -0.04119998 0.01456636 -0.0951001 -0.04119998 0.01573312 -0.09461683 -0.04119998 0.01732409 -0.09467583 -0.04119998 0.001166701 -0.09091669 -0.04119998 0.006340265 -0.08833467 -0.04119998 -0.02366483 -0.1056583 -0.04119998 -0.001166701 -0.09091669 -0.04119998 -0.001649916 -0.08974999 -0.04119998 -0.001166701 -0.08858323 -0.04119998 -8.25357e-7 -0.08750009 -0.04119998 -0.01456636 -0.09743356 -0.04119998 -0.02059996 -0.112 -0.04119998 -0.02108323 -0.1108332 -0.04119998 -0.02224993 -0.11035 -0.04119998 -0.02341663 -0.1108332 -0.04119998 -0.01573312 -0.1260831 -0.04119998 -0.02108323 -0.1131667 -0.04119998 -0.02366524 -0.1183403 -0.04119998 -0.01689982 -0.1265664 -0.04119998 -0.01456636 -0.1265664 -0.04119998 -0.003128409 -0.1317537 -0.04119998 0.02059996 -0.112 -0.04119998 0.01782023 -0.1210794 -0.04119998 0.01689982 -0.09743356 -0.04119998 0.02366524 -0.1056597 -0.04119998 0.02108323 -0.1108332 -0.04119998 0.02366483 -0.1183416 -0.04119998 0.009079337 -0.1298203 -0.03749996 0.01781958 -0.1210806 -0.04119998 0.02108323 -0.1131667 -0.04119998 0.02224993 -0.11365 -0.04119998 0.02341663 -0.1131667 -0.04119998 0 -0.1326 -0.03749996 0.009080588 -0.1298196 -0.04119998 0.001166701 -0.1330832 -0.04119998 0.001649916 -0.13425 -0.04119998 0.001166701 -0.1354167 -0.04119998 8.25357e-7 -0.1364999 -0.04119998 0.01456636 -0.1265664 -0.04119998 -0.01408302 -0.1277331 -0.04119998 -0.01456636 -0.1288998 -0.04119998 -0.01573312 -0.1293831 -0.04119998 -0.01732409 -0.1293241 -0.04119998 -0.001166701 -0.1330832 -0.04119998 -0.006340265 -0.1356652 -0.03749996 0.01689982 -0.09743356 -0.04119998 0.01738303 -0.09626686 -0.03749996 0.01738303 -0.09626686 -0.03749996 0.01573312 -0.09791684 -0.04119998 0.01689982 -0.0951001 -0.03749996 0.01573312 -0.09461683 -0.03749996 0.01689982 -0.0951001 -0.04119998 0.001649916 -0.08974999 -0.03749996 0.001649916 -0.08974999 -0.04119998 0.001166701 -0.08858323 -0.03749996 0.001166701 -0.08858323 -0.04119998 0 -0.08809995 -0.03749996 0 -0.08809995 -0.04119998 -0.006341636 -0.08833509 -0.04119998 -0.01408302 -0.09626686 -0.04119998 -0.01456636 -0.0951001 -0.03749996 -0.01456636 -0.0951001 -0.04119998 -0.01573312 -0.09461683 -0.03749996 -0.01573312 -0.09461683 -0.03749996 -0.01408302 -0.09626686 -0.04119998 -0.01573312 -0.09791684 -0.04119998 -0.01689982 -0.09743356 -0.03749996 -0.01573312 -0.09791684 -0.04119998 -0.01738303 -0.09626686 -0.03749996 -0.01689982 -0.09743356 -0.04119998 -0.01732397 -0.09467601 -0.04119998 -0.01689982 -0.0951001 -0.03749996 -0.01738303 -0.09626686 -0.03749996 -0.01689982 -0.0951001 -0.04119998 -0.02224993 -0.11365 -0.04119998 -0.02341663 -0.1131667 -0.03749996 -0.02224993 -0.11365 -0.04119998 -0.02449989 -0.1119992 -0.04119998 -0.02389997 -0.112 -0.03749996 -0.02341663 -0.1131667 -0.03749996 -0.02389997 -0.112 -0.04119998 -0.01738303 -0.1277331 -0.03749996 -0.01738303 -0.1277331 -0.03749996 -0.01456636 -0.1288998 -0.04119998 -0.01689982 -0.1288998 -0.03749996 -0.01573312 -0.1293831 -0.03749996 -0.01689982 -0.1288998 -0.04119998 -0.001649916 -0.13425 -0.03749996 -0.001649916 -0.13425 -0.04119998 -0.001166701 -0.1354167 -0.03749996 -0.001166701 -0.1354167 -0.03749996 -0.001166701 -0.1330832 -0.03749996 0 -0.1326 -0.03749996 0.001166701 -0.1330832 -0.03749996 0.001649916 -0.13425 -0.04119998 0 -0.1359 -0.03749996 0.001166701 -0.1354167 -0.03749996 0 -0.1359 -0.04119998 0.006341636 -0.1356648 -0.04119998 0.01408302 -0.1277331 -0.04119998 0.01456636 -0.1288998 -0.03749996 0.01456636 -0.1288998 -0.04119998 0.01573312 -0.1293831 -0.03749996 0.01573312 -0.1293831 -0.03749996 0.01408302 -0.1277331 -0.04119998 0.01573312 -0.1260831 -0.03749996 0.01456636 -0.1265664 -0.04119998 0.01689982 -0.1265664 -0.03749996 0.01573312 -0.1260831 -0.04119998 0.01738303 -0.1277331 -0.03749996 0.01689982 -0.1265664 -0.04119998 0.01732397 -0.129324 -0.04119998 0.01689982 -0.1288998 -0.03749996 0.01738303 -0.1277331 -0.03749996 0.01689982 -0.1288998 -0.03749996 0.02224993 -0.11365 -0.03749996 0.02341663 -0.1131667 -0.03749996 0.02108323 -0.1131667 -0.03749996 0.02059996 -0.112 -0.04119998 0.02224993 -0.11035 -0.03749996 0.02108323 -0.1108332 -0.04119998 0.02341663 -0.1108332 -0.03749996 0.02224993 -0.11035 -0.04119998 0.02449989 -0.1120008 -0.04119998 0.02389997 -0.112 -0.03749996 0.02341663 -0.1108332 -0.03749996 0.02389997 -0.112 -0.04069989 -0.01767766 -0.1296777 -0.04069989 -0.02414798 -0.1184706 -0.04069989 -0.00647062 -0.136148 -0.04069989 0.006470322 -0.1361482 -0.04069989 0.01767766 -0.1296777 -0.04069989 0.02414816 -0.1184703 -0.04069989 0.02414798 -0.1055293 -0.04069989 0.01767766 -0.09432232 -0.04069989 0.00647062 -0.08785188 -0.04069989 -0.006470322 -0.08785182 -0.04069989 -0.01767766 -0.09432232 -0.04069989 -0.02414816 -0.1055296 -0.03849995 0.01767766 -0.09432232 -0.03849995 0.02414792 -0.1055291 -0.03849995 0.006470859 -0.08785194 -0.03849995 0.01944535 -0.09255456 -0.03849995 0.0265628 -0.1048825 -0.03849995 -0.006470084 -0.08785182 -0.03849995 0.00711745 -0.08543705 -0.03849995 -0.0176776 -0.09432238 -0.03849995 -0.00711745 -0.08543699 -0.03849995 -0.02414816 -0.1055298 -0.03849995 -0.02656286 -0.1048824 -0.03849995 -0.0194453 -0.09255456 -0.03849995 -0.02414792 -0.1184709 -0.03849995 -0.0265628 -0.1191174 -0.03849995 -0.01767766 -0.1296777 -0.03849995 -0.01944535 -0.1314454 -0.03849995 -0.006470859 -0.136148 -0.03749996 0.01944535 -0.09255456 -0.03749996 0.0265628 -0.1048825 -0.03749996 -0.0194453 -0.09255456 -0.03749996 -0.02656286 -0.1048824 -0.03849995 -0.00711745 -0.1385629 -0.03849995 0.006470084 -0.1361482 -0.03849995 0.00711745 -0.1385629 -0.03749996 -0.00711745 -0.1385629 -0.03849995 0.0176776 -0.1296775 -0.03849995 0.0194453 -0.1314454 -0.03749996 0.00711745 -0.1385629 -0.03849995 0.02656286 -0.1191174 -0.03749996 0.0194453 -0.1314454 -0.03849995 0.02414816 -0.1184701 -0.03749996 0.02656286 -0.1191174 0.04119998 0.01975369 -0.1151283 0.03749996 0.01975351 -0.1151291 0.03749996 0.01414203 -0.1261421 0.03749996 0.01456636 -0.1265664 0.04119998 0.01414203 -0.1261421 0.03749996 0.003129065 -0.1317535 0.03749996 0.01408302 -0.1277331 0.04119998 0.01782023 -0.1029206 0.03749996 0.01781958 -0.1029193 0.03749996 0.02059996 -0.112 0.03749996 0.01944535 -0.1314454 0.03749996 0.0265628 -0.1191174 0.03749996 0.02108323 -0.1131667 0.03749996 0.01689982 -0.1265664 0.03749996 0.01573312 -0.1260831 0.04119998 0.009079337 -0.09417968 0.03749996 0.009080588 -0.09418034 0.03749996 0.00711745 -0.08543699 0.03749996 0.01456636 -0.09743356 0.03749996 0.02341663 -0.1108332 0.03749996 0.02224993 -0.11035 0.03749996 0.02108323 -0.1108332 0.04119998 -0.003128409 -0.09224623 0.03749996 -0.003129065 -0.09224647 0.03749996 0 -0.09139996 0.03749996 0.001166701 -0.08858323 0.03749996 0.001649916 -0.08974999 0.03749996 0.001166701 -0.09091669 0.04119998 -0.01414203 -0.09785783 0.03749996 -0.01414203 -0.09785783 0.03749996 -0.01408302 -0.09626686 0.03749996 -0.01456636 -0.0951001 0.03749996 -0.00711745 -0.08543705 0.03749996 -0.001166701 -0.09091669 0.04119998 -0.01975369 -0.1088715 0.03749996 -0.01975351 -0.1088709 0.03749996 -0.01456636 -0.09743356 0.04119998 -0.01456636 -0.09743356 0.04119998 -0.01573312 -0.09791684 0.04119998 0 -0.09139996 0.04119998 -0.01408302 -0.09626686 0.04119998 -0.01456636 -0.0951001 0.04119998 -0.01573312 -0.09461683 0.04119998 -0.01732409 -0.09467583 0.04119998 -0.001166701 -0.09091669 0.04119998 -0.006340265 -0.08833467 0.04119998 0.02366483 -0.1056583 0.04119998 0.001166701 -0.09091669 0.04119998 0.001649916 -0.08974999 0.04119998 0.001166701 -0.08858323 0.04119998 8.25357e-7 -0.08750009 0.04119998 0.01456636 -0.09743356 0.04119998 0.02059996 -0.112 0.04119998 0.02108323 -0.1108332 0.04119998 0.02224993 -0.11035 0.04119998 0.02341663 -0.1108332 0.04119998 0.01573312 -0.1260831 0.04119998 0.02108323 -0.1131667 0.04119998 0.02366524 -0.1183403 0.04119998 0.01689982 -0.1265664 0.04119998 0.01456636 -0.1265664 0.04119998 0.003128409 -0.1317537 0.04119998 -0.02059996 -0.112 0.04119998 -0.01782023 -0.1210794 0.04119998 -0.01689982 -0.09743356 0.04119998 -0.02366524 -0.1056597 0.04119998 -0.02108323 -0.1108332 0.04119998 -0.02366483 -0.1183416 0.04119998 -0.009079337 -0.1298203 0.03749996 -0.01781958 -0.1210806 0.04119998 -0.02108323 -0.1131667 0.04119998 -0.02224993 -0.11365 0.04119998 -0.02341663 -0.1131667 0.04119998 0 -0.1326 0.03749996 -0.009080588 -0.1298196 0.04119998 -0.001166701 -0.1330832 0.04119998 -0.001649916 -0.13425 0.04119998 -0.001166701 -0.1354167 0.04119998 -8.25357e-7 -0.1364999 0.04119998 -0.01456636 -0.1265664 0.04119998 0.01408302 -0.1277331 0.04119998 0.01456636 -0.1288998 0.04119998 0.01573312 -0.1293831 0.04119998 0.01732409 -0.1293241 0.04119998 0.001166701 -0.1330832 0.04119998 0.006340265 -0.1356652 0.03749996 -0.01689982 -0.09743356 0.04119998 -0.01738303 -0.09626686 0.03749996 -0.01738303 -0.09626686 0.03749996 -0.01573312 -0.09791684 0.04119998 -0.01689982 -0.0951001 0.03749996 -0.01573312 -0.09461683 0.03749996 -0.01689982 -0.0951001 0.04119998 -0.001649916 -0.08974999 0.03749996 -0.001649916 -0.08974999 0.04119998 -0.001166701 -0.08858323 0.03749996 -0.001166701 -0.08858323 0.04119998 0 -0.08809995 0.03749996 0 -0.08809995 0.04119998 0.006341636 -0.08833509 0.04119998 0.01408302 -0.09626686 0.04119998 0.01456636 -0.0951001 0.03749996 0.01456636 -0.0951001 0.04119998 0.01573312 -0.09461683 0.03749996 0.01573312 -0.09461683 0.03749996 0.01408302 -0.09626686 0.04119998 0.01573312 -0.09791684 0.04119998 0.01689982 -0.09743356 0.03749996 0.01573312 -0.09791684 0.04119998 0.01738303 -0.09626686 0.03749996 0.01689982 -0.09743356 0.04119998 0.01732397 -0.09467601 0.04119998 0.01689982 -0.0951001 0.03749996 0.01738303 -0.09626686 0.03749996 0.01689982 -0.0951001 0.04119998 0.02224993 -0.11365 0.04119998 0.02341663 -0.1131667 0.03749996 0.02224993 -0.11365 0.04119998 0.02449989 -0.1119992 0.04119998 0.02389997 -0.112 0.03749996 0.02341663 -0.1131667 0.03749996 0.02389997 -0.112 0.04119998 0.01738303 -0.1277331 0.03749996 0.01738303 -0.1277331 0.03749996 0.01456636 -0.1288998 0.04119998 0.01689982 -0.1288998 0.03749996 0.01573312 -0.1293831 0.03749996 0.01689982 -0.1288998 0.04119998 0.001649916 -0.13425 0.03749996 0.001649916 -0.13425 0.04119998 0.001166701 -0.1354167 0.03749996 0.001166701 -0.1354167 0.03749996 0.001166701 -0.1330832 0.03749996 0 -0.1326 0.03749996 -0.001166701 -0.1330832 0.03749996 -0.001649916 -0.13425 0.04119998 0 -0.1359 0.03749996 -0.001166701 -0.1354167 0.03749996 0 -0.1359 0.04119998 -0.006341636 -0.1356648 0.04119998 -0.01408302 -0.1277331 0.04119998 -0.01456636 -0.1288998 0.03749996 -0.01456636 -0.1288998 0.04119998 -0.01573312 -0.1293831 0.03749996 -0.01573312 -0.1293831 0.03749996 -0.01408302 -0.1277331 0.04119998 -0.01573312 -0.1260831 0.03749996 -0.01456636 -0.1265664 0.04119998 -0.01689982 -0.1265664 0.03749996 -0.01573312 -0.1260831 0.04119998 -0.01738303 -0.1277331 0.03749996 -0.01689982 -0.1265664 0.04119998 -0.01732397 -0.129324 0.04119998 -0.01689982 -0.1288998 0.03749996 -0.01738303 -0.1277331 0.03749996 -0.01689982 -0.1288998 0.03749996 -0.02224993 -0.11365 0.03749996 -0.02341663 -0.1131667 0.03749996 -0.02108323 -0.1131667 0.03749996 -0.02059996 -0.112 0.04119998 -0.02224993 -0.11035 0.03749996 -0.02108323 -0.1108332 0.04119998 -0.02341663 -0.1108332 0.03749996 -0.02224993 -0.11035 0.04119998 -0.02449989 -0.1120008 0.04119998 -0.02389997 -0.112 0.03749996 -0.02341663 -0.1108332 0.03749996 -0.02389997 -0.112 0.04069989 0.01767766 -0.1296777 0.04069989 0.02414798 -0.1184706 0.04069989 0.00647062 -0.136148 0.04069989 -0.006470322 -0.1361482 0.04069989 -0.01767766 -0.1296777 0.04069989 -0.02414816 -0.1184703 0.04069989 -0.02414798 -0.1055293 0.04069989 -0.01767766 -0.09432232 0.04069989 -0.00647062 -0.08785188 0.04069989 0.006470322 -0.08785182 0.04069989 0.01767766 -0.09432232 0.04069989 0.02414816 -0.1055296 0.03849995 -0.01767766 -0.09432232 0.03849995 -0.02414792 -0.1055291 0.03849995 -0.006470859 -0.08785194 0.03849995 -0.01944535 -0.09255456 0.03849995 -0.0265628 -0.1048825 0.03849995 0.006470084 -0.08785182 0.03849995 -0.00711745 -0.08543705 0.03849995 0.0176776 -0.09432238 0.03849995 0.00711745 -0.08543699 0.03849995 0.02414816 -0.1055298 0.03849995 0.02656286 -0.1048824 0.03849995 0.0194453 -0.09255456 0.03849995 0.02414792 -0.1184709 0.03849995 0.0265628 -0.1191174 0.03849995 0.01767766 -0.1296777 0.03849995 0.01944535 -0.1314454 0.03849995 0.006470859 -0.136148 0.03749996 -0.01944535 -0.09255456 0.03749996 -0.0265628 -0.1048825 0.03749996 0.0194453 -0.09255456 0.03749996 0.02656286 -0.1048824 0.03849995 0.00711745 -0.1385629 0.03849995 -0.006470084 -0.1361482 0.03849995 -0.00711745 -0.1385629 0.03749996 0.00711745 -0.1385629 0.03849995 -0.0176776 -0.1296775 0.03849995 -0.0194453 -0.1314454 0.03749996 -0.00711745 -0.1385629 0.03849995 -0.02656286 -0.1191174 0.03749996 -0.0194453 -0.1314454 0.03849995 -0.02414816 -0.1184701 0.03749996 -0.02656286 -0.1191174 2.96458e-4 0.03973895 0.05449998 -0.003306031 0.03800147 0.05449998 -0.003602862 0.03401231 0.05449998 -0.003602862 0.03401231 0.05419999 -6.26996e-4 0.03705 0.05449998 -8.12404e-4 0.03455692 0.05449998 -2.96458e-4 0.03176105 0.05449998 -2.96652e-4 0.03176099 0.05419999 -0.001439332 0.03585702 0.05449998 -0.00330621 0.03800129 0.05419999 8.12404e-4 0.03694295 0.05449998 0.003602862 0.0374875 0.05449998 2.96652e-4 0.03973895 0.05419999 0.003306031 0.0334984 0.05449998 0.003602862 0.0374875 0.05419999 6.26996e-4 0.03444987 0.05449998 0.001439332 0.03564292 0.05449998 0.00330621 0.03349858 0.05419999 -8.12404e-4 0.03455692 0.05269998 -0.001439332 0.03585702 0.05269998 6.26996e-4 0.03444987 0.05269998 0.001439332 0.03564292 0.05269998 8.12404e-4 0.03694295 0.05269998 -6.26996e-4 0.03705 0.05269998 0.001801431 0.0366187 0.0521999 6.59485e-4 0.03763806 0.0521999 8.68792e-4 0.03394854 0.0521999 0.001888096 0.03509044 0.0521999 -6.59485e-4 0.03386175 0.0521999 -0.001801431 0.03488117 0.0521999 0.001801431 0.0366187 0.0500999 -8.68768e-4 0.03755134 0.0500999 8.68768e-4 0.0339486 0.0500999 -0.001801431 0.03488117 0.0500999 -0.001888096 0.03640937 0.0521999 0.001486182 0.03646665 0.0500999 -7.16753e-4 0.03723615 0.0500999 7.16753e-4 0.03426373 0.0500999 -0.001486182 0.03503316 0.0500999 -8.68792e-4 0.0375514 0.0521999 -0.001486182 0.03503316 0.03849995 7.16753e-4 0.03426373 0.03849995 -7.16753e-4 0.03723615 0.03849995 0.001486182 0.03646665 0.03849995 0.03973895 -2.96458e-4 0.05449998 0.03800147 0.003306031 0.05449998 0.03401231 0.003602862 0.05449998 0.03401231 0.003602862 0.05419999 0.03705 6.26996e-4 0.05449998 0.03455692 8.12404e-4 0.05449998 0.03176105 2.96458e-4 0.05449998 0.03176099 2.96652e-4 0.05419999 0.03585702 0.001439332 0.05449998 0.03800129 0.00330621 0.05419999 0.03694295 -8.12404e-4 0.05449998 0.0374875 -0.003602862 0.05449998 0.03973895 -2.96652e-4 0.05419999 0.0334984 -0.003306031 0.05449998 0.0374875 -0.003602862 0.05419999 0.03444987 -6.26996e-4 0.05449998 0.03564292 -0.001439332 0.05449998 0.03349858 -0.00330621 0.05419999 0.03455692 8.12404e-4 0.05269998 0.03585702 0.001439332 0.05269998 0.03444987 -6.26996e-4 0.05269998 0.03564292 -0.001439332 0.05269998 0.03694295 -8.12404e-4 0.05269998 0.03705 6.26996e-4 0.05269998 0.0366187 -0.001801431 0.0521999 0.03763806 -6.59485e-4 0.0521999 0.03394854 -8.68792e-4 0.0521999 0.03509044 -0.001888096 0.0521999 0.03386175 6.59485e-4 0.0521999 0.03488117 0.001801431 0.0521999 0.0366187 -0.001801431 0.0500999 0.03755134 8.68768e-4 0.0500999 0.0339486 -8.68768e-4 0.0500999 0.03488117 0.001801431 0.0500999 0.03640937 0.001888096 0.0521999 0.03646665 -0.001486182 0.0500999 0.03723615 7.16753e-4 0.0500999 0.03426373 -7.16753e-4 0.0500999 0.03503316 0.001486182 0.0500999 0.0375514 8.68792e-4 0.0521999 0.03503316 0.001486182 0.03849995 0.03426373 -7.16753e-4 0.03849995 0.03723615 7.16753e-4 0.03849995 0.03646665 -0.001486182 0.03849995 0.003988921 0.0222035 0.0349999 0.002251446 0.025806 0.0349999 -0.001737475 0.02610284 0.0349999 -0.001737475 0.02610284 0.03469991 0.001299977 0.0231269 0.0349999 -0.001192927 0.02331233 0.0349999 -0.003988921 0.02279645 0.0349999 -0.003988981 0.02279663 0.03469991 1.07045e-4 0.02393937 0.0349999 0.002251327 0.02580612 0.03469991 0.001192927 0.0216875 0.0349999 0.001737475 0.01889711 0.0349999 0.003988981 0.02220332 0.03469991 -0.002251446 0.01919382 0.0349999 0.001737475 0.01889711 0.03469991 -0.001299977 0.02187293 0.0349999 -1.07045e-4 0.02106058 0.0349999 -0.002251327 0.0191937 0.03469991 -0.001192927 0.02331233 0.0331999 1.07045e-4 0.02393937 0.0331999 -0.001299977 0.02187293 0.0331999 -1.07045e-4 0.02106058 0.0331999 0.001192927 0.0216875 0.0331999 0.001299977 0.0231269 0.0331999 8.68792e-4 0.02069848 0.0327 0.001888096 0.02184051 0.0327 -0.001801431 0.02163118 0.0327 -6.59485e-4 0.02061182 0.0327 -0.001888096 0.02315944 0.0327 -8.68792e-4 0.02430135 0.0327 8.68792e-4 0.02069848 0.03059995 0.001801311 0.02336871 0.03059995 -0.001801311 0.02163118 0.03059995 -8.68792e-4 0.02430135 0.03059995 6.59485e-4 0.02438813 0.0327 7.16753e-4 0.02101379 0.03059995 0.001486182 0.02321672 0.03059995 -0.001486182 0.02178323 0.03059995 -7.16753e-4 0.02398616 0.03059995 0.001801431 0.02336877 0.0327 -7.16753e-4 0.02398616 0.01899999 -0.001486182 0.02178323 0.01899999 0.001486182 0.02321672 0.01899999 7.16753e-4 0.02101379 0.01899999 -0.0222035 0.003988921 0.0349999 -0.025806 0.002251446 0.0349999 -0.02610284 -0.001737475 0.0349999 -0.02610284 -0.001737475 0.03469991 -0.0231269 0.001299977 0.0349999 -0.02331233 -0.001192927 0.0349999 -0.02279645 -0.003988921 0.0349999 -0.02279663 -0.003988981 0.03469991 -0.02393937 1.07045e-4 0.0349999 -0.02580612 0.002251327 0.03469991 -0.0216875 0.001192927 0.0349999 -0.01889711 0.001737475 0.0349999 -0.02220332 0.003988981 0.03469991 -0.01919382 -0.002251446 0.0349999 -0.01889711 0.001737475 0.03469991 -0.02187293 -0.001299977 0.0349999 -0.02106058 -1.07045e-4 0.0349999 -0.0191937 -0.002251327 0.03469991 -0.02331233 -0.001192927 0.0331999 -0.02393937 1.07045e-4 0.0331999 -0.02187293 -0.001299977 0.0331999 -0.02106058 -1.07045e-4 0.0331999 -0.0216875 0.001192927 0.0331999 -0.0231269 0.001299977 0.0331999 -0.02069848 8.68792e-4 0.0327 -0.02184051 0.001888096 0.0327 -0.02163118 -0.001801431 0.0327 -0.02061182 -6.59485e-4 0.0327 -0.02315944 -0.001888096 0.0327 -0.02430135 -8.68792e-4 0.0327 -0.02069848 8.68792e-4 0.03059995 -0.02336871 0.001801311 0.03059995 -0.02163118 -0.001801311 0.03059995 -0.02430135 -8.68792e-4 0.03059995 -0.02438813 6.59485e-4 0.0327 -0.02101379 7.16753e-4 0.03059995 -0.02321672 0.001486182 0.03059995 -0.02178323 -0.001486182 0.03059995 -0.02398616 -7.16753e-4 0.03059995 -0.02336877 0.001801431 0.0327 -0.02398616 -7.16753e-4 0.01899999 -0.02178323 -0.001486182 0.01899999 -0.02321672 0.001486182 0.01899999 -0.02101379 7.16753e-4 0.01899999 -0.003988921 -0.0222035 0.0349999 -0.002251446 -0.025806 0.0349999 0.001737475 -0.02610284 0.0349999 0.001737475 -0.02610284 0.03469991 -0.001299977 -0.0231269 0.0349999 0.001192927 -0.02331233 0.0349999 0.003988921 -0.02279645 0.0349999 0.003988981 -0.02279663 0.03469991 -1.07045e-4 -0.02393937 0.0349999 -0.002251327 -0.02580612 0.03469991 -0.001192927 -0.0216875 0.0349999 -0.001737475 -0.01889711 0.0349999 -0.003988981 -0.02220332 0.03469991 0.002251446 -0.01919382 0.0349999 -0.001737475 -0.01889711 0.03469991 0.001299977 -0.02187293 0.0349999 1.07045e-4 -0.02106058 0.0349999 0.002251327 -0.0191937 0.03469991 0.001192927 -0.02331233 0.0331999 -1.07045e-4 -0.02393937 0.0331999 0.001299977 -0.02187293 0.0331999 1.07045e-4 -0.02106058 0.0331999 -0.001192927 -0.0216875 0.0331999 -0.001299977 -0.0231269 0.0331999 -8.68792e-4 -0.02069848 0.0327 -0.001888096 -0.02184051 0.0327 0.001801431 -0.02163118 0.0327 6.59485e-4 -0.02061182 0.0327 0.001888096 -0.02315944 0.0327 8.68792e-4 -0.02430135 0.0327 -8.68792e-4 -0.02069848 0.03059995 -0.001801311 -0.02336871 0.03059995 0.001801311 -0.02163118 0.03059995 8.68792e-4 -0.02430135 0.03059995 -6.59485e-4 -0.02438813 0.0327 -7.16753e-4 -0.02101379 0.03059995 -0.001486182 -0.02321672 0.03059995 0.001486182 -0.02178323 0.03059995 7.16753e-4 -0.02398616 0.03059995 -0.001801431 -0.02336877 0.0327 7.16753e-4 -0.02398616 0.01899999 0.001486182 -0.02178323 0.01899999 -0.001486182 -0.02321672 0.01899999 -7.16753e-4 -0.02101379 0.01899999 0.0222035 -0.003988921 0.0349999 0.025806 -0.002251446 0.0349999 0.02610284 0.001737475 0.0349999 0.02610284 0.001737475 0.03469991 0.0231269 -0.001299977 0.0349999 0.02331233 0.001192927 0.0349999 0.02279645 0.003988921 0.0349999 0.02279663 0.003988981 0.03469991 0.02393937 -1.07045e-4 0.0349999 0.02580612 -0.002251327 0.03469991 0.0216875 -0.001192927 0.0349999 0.01889711 -0.001737475 0.0349999 0.02220332 -0.003988981 0.03469991 0.01919382 0.002251446 0.0349999 0.01889711 -0.001737475 0.03469991 0.02187293 0.001299977 0.0349999 0.02106058 1.07045e-4 0.0349999 0.0191937 0.002251327 0.03469991 0.02331233 0.001192927 0.0331999 0.02393937 -1.07045e-4 0.0331999 0.02187293 0.001299977 0.0331999 0.02106058 1.07045e-4 0.0331999 0.0216875 -0.001192927 0.0331999 0.0231269 -0.001299977 0.0331999 0.02069848 -8.68792e-4 0.0327 0.02184051 -0.001888096 0.0327 0.02163118 0.001801431 0.0327 0.02061182 6.59485e-4 0.0327 0.02315944 0.001888096 0.0327 0.02430135 8.68792e-4 0.0327 0.02069848 -8.68792e-4 0.03059995 0.02336871 -0.001801311 0.03059995 0.02163118 0.001801311 0.03059995 0.02430135 8.68792e-4 0.03059995 0.02438813 -6.59485e-4 0.0327 0.02101379 -7.16753e-4 0.03059995 0.02321672 -0.001486182 0.03059995 0.02178323 0.001486182 0.03059995 0.02398616 7.16753e-4 0.03059995 0.02336877 -0.001801431 0.0327 0.02398616 7.16753e-4 0.01899999 0.02178323 0.001486182 0.01899999 0.02321672 -0.001486182 0.01899999 0.02101379 -7.16753e-4 0.01899999 -2.96458e-4 -0.03973895 0.05449998 0.003306031 -0.03800147 0.05449998 0.003602862 -0.03401231 0.05449998 0.003602862 -0.03401231 0.05419999 6.26996e-4 -0.03705 0.05449998 8.12404e-4 -0.03455692 0.05449998 2.96458e-4 -0.03176105 0.05449998 2.96652e-4 -0.03176099 0.05419999 0.001439332 -0.03585702 0.05449998 0.00330621 -0.03800129 0.05419999 -8.12404e-4 -0.03694295 0.05449998 -0.003602862 -0.0374875 0.05449998 -2.96652e-4 -0.03973895 0.05419999 -0.003306031 -0.0334984 0.05449998 -0.003602862 -0.0374875 0.05419999 -6.26996e-4 -0.03444987 0.05449998 -0.001439332 -0.03564292 0.05449998 -0.00330621 -0.03349858 0.05419999 8.12404e-4 -0.03455692 0.05269998 0.001439332 -0.03585702 0.05269998 -6.26996e-4 -0.03444987 0.05269998 -0.001439332 -0.03564292 0.05269998 -8.12404e-4 -0.03694295 0.05269998 6.26996e-4 -0.03705 0.05269998 -0.001801431 -0.0366187 0.0521999 -6.59485e-4 -0.03763806 0.0521999 -8.68792e-4 -0.03394854 0.0521999 -0.001888096 -0.03509044 0.0521999 6.59485e-4 -0.03386175 0.0521999 0.001801431 -0.03488117 0.0521999 -0.001801431 -0.0366187 0.0500999 8.68768e-4 -0.03755134 0.0500999 -8.68768e-4 -0.0339486 0.0500999 0.001801431 -0.03488117 0.0500999 0.001888096 -0.03640937 0.0521999 -0.001486182 -0.03646665 0.0500999 7.16753e-4 -0.03723615 0.0500999 -7.16753e-4 -0.03426373 0.0500999 0.001486182 -0.03503316 0.0500999 8.68792e-4 -0.0375514 0.0521999 0.001486182 -0.03503316 0.03849995 -7.16753e-4 -0.03426373 0.03849995 7.16753e-4 -0.03723615 0.03849995 -0.001486182 -0.03646665 0.03849995 -0.03973895 2.96458e-4 0.05449998 -0.03800147 -0.003306031 0.05449998 -0.03401231 -0.003602862 0.05449998 -0.03401231 -0.003602862 0.05419999 -0.03705 -6.26996e-4 0.05449998 -0.03455692 -8.12404e-4 0.05449998 -0.03176105 -2.96458e-4 0.05449998 -0.03176099 -2.96652e-4 0.05419999 -0.03585702 -0.001439332 0.05449998 -0.03800129 -0.00330621 0.05419999 -0.03694295 8.12404e-4 0.05449998 -0.0374875 0.003602862 0.05449998 -0.03973895 2.96652e-4 0.05419999 -0.0334984 0.003306031 0.05449998 -0.0374875 0.003602862 0.05419999 -0.03444987 6.26996e-4 0.05449998 -0.03564292 0.001439332 0.05449998 -0.03349858 0.00330621 0.05419999 -0.03455692 -8.12404e-4 0.05269998 -0.03585702 -0.001439332 0.05269998 -0.03444987 6.26996e-4 0.05269998 -0.03564292 0.001439332 0.05269998 -0.03694295 8.12404e-4 0.05269998 -0.03705 -6.26996e-4 0.05269998 -0.0366187 0.001801431 0.0521999 -0.03763806 6.59485e-4 0.0521999 -0.03394854 8.68792e-4 0.0521999 -0.03509044 0.001888096 0.0521999 -0.03386175 -6.59485e-4 0.0521999 -0.03488117 -0.001801431 0.0521999 -0.0366187 0.001801431 0.0500999 -0.03755134 -8.68768e-4 0.0500999 -0.0339486 8.68768e-4 0.0500999 -0.03488117 -0.001801431 0.0500999 -0.03640937 -0.001888096 0.0521999 -0.03646665 0.001486182 0.0500999 -0.03723615 -7.16753e-4 0.0500999 -0.03426373 7.16753e-4 0.0500999 -0.03503316 -0.001486182 0.0500999 -0.0375514 -8.68792e-4 0.0521999 -0.03503316 -0.001486182 0.03849995 -0.03426373 7.16753e-4 0.03849995 -0.03723615 -7.16753e-4 0.03849995 -0.03646665 0.001486182 0.03849995 -0.02549993 -0.02949988 0.03099989 0.02549993 -0.02949988 0.03099989 0.02949988 -0.02549993 0.03099989 0.02549993 -0.02949988 -0.03399991 0.003530979 -0.007321536 0.03099989 0.007674098 -0.002679109 0.03099989 0.02949988 0.02549993 0.03099989 0.02949988 -0.02549993 -0.03399991 -0.02549993 -0.02949988 -0.03399991 -0.02949988 -0.02549993 0.03099989 -0.02949988 -0.02549993 -0.03399991 -0.007674098 0.002679109 0.03099989 -0.02949988 0.02549993 0.03099989 -0.02949988 0.02549993 -0.03399991 -0.002681255 -0.007673323 0.03099989 -0.007321119 -0.0035308 0.03099989 0.02549993 0.02949988 0.03099989 -0.02549993 0.02949988 0.03099989 -0.02549993 0.02949988 -0.03399991 -0.003530979 0.007321536 0.03099989 0.02549993 0.02949988 -0.03399991 0.02949988 0.02549993 -0.03399991 0.007321119 0.0035308 0.03099989 0.002681255 0.007673323 0.03099989 0.003530979 -0.007321536 0.04899996 -0.002683222 -0.007672429 0.04899996 0.007674515 -0.002677083 0.04899996 0.007320821 0.003530621 0.04899996 0.002683222 0.007672429 0.04899996 -0.003530979 0.007321536 0.04899996 -0.007674515 0.002677083 0.04899996 -0.007320821 -0.003530621 0.04899996 -0.02949988 0.02257084 0.02407085 -0.02949988 0.01310032 0.02277082 -0.02949988 0.01469993 0.01999998 -0.03149998 0.01469993 0.01999998 -0.02949988 0.01310032 0.01722908 -0.03149998 0.0130999 0.01722872 -0.02949988 0.009899616 0.02277082 -0.03149998 0.0130999 0.02277117 -0.02949988 -0.008299946 0.01999998 -0.02949988 0.008299946 0.01999998 -0.03149998 0.009899973 0.02277117 -0.02949988 -0.009899616 0.02277082 -0.02949988 -0.009899616 0.01722908 -0.02949988 0.009899616 0.01722908 -0.03149998 0.008299946 0.01999998 -0.02949988 -0.02549993 0.0169999 -0.03149998 0.009899973 0.01722872 -0.02949988 0.02549993 0.0169999 -0.03149998 -0.008299946 0.01999998 -0.03149998 -0.009899973 0.01722872 -0.02949988 -0.01310032 0.02277082 -0.03149998 -0.009899973 0.02277117 -0.02949988 -0.01469993 0.01999998 -0.03149998 -0.0130999 0.02277117 -0.02949988 -0.02257084 0.02407085 -0.02949988 -0.01310032 0.01722908 -0.03149998 -0.01469993 0.01999998 -0.03149998 -0.0130999 0.01722872 -0.02949988 0.01707082 -0.009570896 -0.02949988 0.01310032 -0.01722908 -0.02949988 0.01469993 -0.01999998 -0.03149998 0.01469993 -0.01999998 -0.02949988 0.02549993 -0.02199995 -0.02949988 0.01310032 -0.02277082 -0.03149998 0.0130999 -0.02277117 -0.02949988 0.01999998 -0.002499938 -0.02949988 0.009899616 -0.01722908 -0.03149998 0.0130999 -0.01722872 -0.02949988 -0.008299946 -0.01999998 -0.02949988 0.008299946 -0.01999998 -0.03149998 0.009899973 -0.01722872 -0.02949988 -0.009899616 -0.01722908 -0.02949988 0.00999999 -0.01249992 -0.02949988 -0.009899616 -0.02277082 -0.02949988 0.009899616 -0.02277082 -0.03149998 0.008299946 -0.01999998 -0.02949988 -0.0249142 -0.02341419 -0.03149998 0.009899973 -0.02277117 -0.02949988 0.0249142 -0.02341419 -0.03149998 -0.008299946 -0.01999998 -0.03149998 -0.009899973 -0.02277117 -0.02949988 -0.01310032 -0.01722908 -0.03149998 -0.009899973 -0.01722872 -0.02949988 -0.02549993 -0.02199995 -0.02949988 -0.01469993 -0.01999998 -0.03149998 -0.0130999 -0.01722872 -0.02949988 -0.00999999 -0.01249992 -0.02949988 -0.01310032 -0.02277082 -0.03149998 -0.01469993 -0.01999998 -0.03149998 -0.0130999 -0.02277117 -0.02949988 -0.01999998 -0.03399991 -0.02949988 -0.01599997 -0.032 -0.02949988 -0.01599997 -0.02999997 -0.037 -0.01599997 -0.032 -0.02949988 -0.01541411 -0.02858579 -0.037 -0.01541411 -0.02858579 -0.037 -0.01599997 -0.02999997 -0.02949988 -0.01541411 -0.03341418 -0.02949988 -0.01399993 -0.03399991 -0.037 -0.01541411 -0.03341418 -0.02949988 -0.01941418 -0.03541415 -0.02949988 0.01399993 -0.03399991 -0.037 -0.01399993 -0.03399991 -0.02949988 0.01999998 -0.03399991 -0.02949988 0.01541411 -0.03341418 -0.037 0.01399993 -0.03399991 -0.02949988 0.01999998 -0.02599996 -0.02949988 0.01599997 -0.032 -0.037 0.01541411 -0.03341418 -0.02949988 0.01599997 -0.02999997 -0.037 0.01599997 -0.02999997 -0.037 0.01599997 -0.032 -0.02949988 0.01541411 -0.02858579 -0.02949988 0.01399993 -0.02799993 -0.037 0.01541411 -0.02858579 -0.02949988 -0.01399993 -0.02799993 -0.037 0.01399993 -0.02799993 -0.02949988 -0.01999998 -0.02599996 -0.037 -0.01399993 -0.02799993 -0.02949988 -0.00999999 0.01249992 -0.02949988 0.00999999 0.01249992 -0.0345 0.00999999 0.01249992 -0.02949988 0.01707082 0.009570896 -0.0345 0.01707082 0.009570896 -0.02949988 -0.01707082 0.009570896 -0.0345 -0.00999999 0.01249992 -0.02949988 -0.01999998 0.002499938 -0.0345 -0.01707082 0.009570896 -0.02949988 -0.01999998 -0.002499938 -0.0345 -0.01999998 -0.002499938 -0.0345 -0.01999998 0.002499938 -0.02949988 -0.01707082 -0.009570896 -0.0345 -0.01707082 -0.009570896 -0.0345 -0.00999999 -0.01249992 -0.0345 0.00999999 -0.01249992 -0.0345 0.01707082 -0.009570896 -0.02949988 0.01999998 0.002499938 -0.0345 0.01999998 0.002499938 -0.0345 0.01999998 -0.002499938 -0.03749996 -0.02549993 -0.02199995 -0.03749996 -0.0249142 -0.02341419 -0.03749996 -0.02549993 0.0169999 -0.02949988 0.01549988 0.02699995 -0.02949988 -0.01549988 0.02699995 -0.03749996 -0.02257084 0.02407085 -0.03749996 -0.01549988 0.02699995 -0.03749996 0.01549988 0.02699995 -0.03749996 0.02257084 0.02407085 -0.03749996 0.02549993 0.0169999 -0.03749996 0.02549993 -0.02199995 -0.03438341 0.02549993 -0.01688402 -0.03261643 0.02549993 -0.01511579 -0.03224992 0.02549993 -0.01599997 -0.03261643 0.02549993 -0.01688402 -0.03349989 0.02549993 -0.01724976 -0.02949988 0.02199995 -0.02399992 -0.02949988 0.02349996 -0.02399992 -0.03749996 0.0249142 -0.02341419 -0.02949988 -0.02199995 -0.02399992 -0.02949988 -0.02349996 -0.02399992 -0.03749996 0.02349996 -0.02399992 -0.02949988 -0.02058577 -0.02458578 -0.02949988 0.02058577 -0.02458578 -0.03749996 0.02199995 -0.02399992 -0.03749996 0.0202679 -0.02499997 -0.03749996 0.0209999 -0.02426791 -0.04565 0.01999998 -0.03399991 -0.03756415 0.02006304 -0.02550166 -0.03776788 0.01999998 -0.02599996 -0.02949988 0.01941418 -0.03541415 -0.02949988 -0.01799988 -0.03599995 -0.02949988 0.01799988 -0.03599995 -0.04564988 0.019414 -0.03541421 -0.04078799 0.01607495 -0.03599995 -0.04264998 0.01714998 -0.03599995 -0.04565 0.01799988 -0.03599995 -0.04565 -0.01799988 -0.03599995 -0.04078799 -0.01392489 -0.03599995 -0.04264998 -0.01284992 -0.03599995 -0.04264998 -0.007149994 -0.03599995 -0.04078799 -0.01607495 -0.03599995 -0.04264998 -0.01714998 -0.03599995 -0.04078799 -0.006074965 -0.03599995 -0.04078799 -0.003924906 -0.03599995 -0.04264998 0.002849996 -0.03599995 -0.04078799 0.003924906 -0.03599995 -0.04078799 0.006074965 -0.03599995 -0.04264998 0.01284992 -0.03599995 -0.04078799 0.01392489 -0.03599995 -0.04564988 -0.0194143 -0.03541404 -0.03776788 -0.01999998 -0.02599996 -0.04565 -0.01999998 -0.02699995 -0.04565 -0.01999998 -0.03399991 -0.03949993 -0.01999998 -0.02699995 -0.03849995 -0.01999998 -0.02673196 -0.03749996 -0.0209999 -0.02426791 -0.03749996 -0.0202679 -0.02499997 -0.03756415 -0.02006304 -0.02550166 -0.03749996 -0.02199995 -0.02399992 -0.03749996 -0.02349996 -0.02399992 -0.03749996 0.01429992 0.01515018 -0.03749996 0.01709991 0.01999998 -0.03149998 0.01709991 0.01999998 -0.03749996 0.01429992 0.02484971 -0.03149998 0.01429915 0.02484989 -0.03749996 0.008699953 0.01515018 -0.03149998 0.01429915 0.01515007 -0.03749996 -0.005899906 0.01999998 -0.03749996 0.005899906 0.01999998 -0.03149998 0.008700788 0.01515007 -0.03749996 -0.008699953 0.01515018 -0.03749996 -0.008699953 0.02484971 -0.03749996 0.008699953 0.02484971 -0.03149998 0.005899906 0.01999998 -0.03149998 0.008700788 0.02484989 -0.03149998 -0.005899906 0.01999998 -0.03149998 -0.008700788 0.02484989 -0.03749996 -0.01429992 0.01515018 -0.03149998 -0.008700788 0.01515007 -0.03749996 -0.01709991 0.01999998 -0.03149998 -0.01429915 0.01515007 -0.03749996 0.01429992 -0.01515018 -0.03749996 -0.01429992 0.02484971 -0.03149998 -0.01709991 0.01999998 -0.03149998 -0.01429915 0.02484989 -0.03749996 -0.01402187 -0.02499997 -0.03759211 -0.0115 -0.02560001 -0.03749996 -0.01626825 -0.02293652 -0.03149998 -0.01429915 -0.02484989 -0.03149998 -0.008700788 -0.02484989 -0.03749996 -0.01709991 -0.01999998 -0.03749996 -0.01429992 -0.01515018 -0.03149998 -0.01709991 -0.01999998 -0.03749996 -0.008699953 -0.01515018 -0.03149998 -0.01429915 -0.01515007 -0.03749996 0.005899906 -0.01999998 -0.03749996 -0.005899906 -0.01999998 -0.03149998 -0.008700788 -0.01515007 -0.03749996 0.008699953 -0.01515018 -0.03749996 0.006731629 -0.02293652 -0.03749996 -0.006731629 -0.02293652 -0.03149998 -0.005899906 -0.01999998 -0.03749996 0.008978068 -0.02499997 -0.03749996 -0.008978068 -0.02499997 -0.03759211 0.0115 -0.02560001 -0.03149998 0.008700788 -0.02484989 -0.03149998 0.01429915 -0.02484989 -0.03149998 0.005899906 -0.01999998 -0.03149998 0.008700788 -0.01515007 -0.03749996 0.01709991 -0.01999998 -0.03149998 0.01429915 -0.01515007 -0.03749996 0.01626825 -0.02293652 -0.03149998 0.01709991 -0.01999998 -0.03749996 0.01402187 -0.02499997 -0.03474998 0.02549993 -0.01599997 -0.03438341 0.02549993 -0.01511579 -0.03349989 0.02549993 -0.01475018 -0.03474998 0.01799988 -0.01599997 -0.03438383 0.01799988 -0.01688385 -0.03438383 0.01799988 -0.01511603 -0.03349989 0.01799988 -0.01475 -0.03261601 0.01799988 -0.01511603 -0.03224992 0.01799988 -0.01599997 -0.03261601 0.01799988 -0.01688385 -0.03349989 0.01799988 -0.01725 -0.04264998 -0.01284992 -0.02699995 -0.04451191 -0.006074965 -0.03599995 -0.04451191 -0.01392489 -0.03599995 -0.04451191 -0.01392489 -0.02699995 -0.04078799 -0.01392489 -0.02699995 -0.04078799 -0.01607495 -0.02699995 -0.04451191 -0.01607495 -0.03599995 -0.04264998 -0.01714998 -0.02699995 -0.04451191 -0.01607495 -0.02699995 -0.04264998 -0.002849996 -0.03599995 -0.04264998 -0.002849996 -0.02699995 -0.04451191 0.003924906 -0.03599995 -0.04451191 -0.003924906 -0.03599995 -0.04451191 -0.003924906 -0.02699995 -0.04078799 -0.003924906 -0.02699995 -0.04078799 -0.006074965 -0.02699995 -0.04264998 -0.007149994 -0.02699995 -0.04451191 -0.006074965 -0.02699995 -0.04264998 0.002849996 -0.02699995 -0.04078799 0.003924906 -0.02699995 -0.04451191 0.006074965 -0.03599995 -0.04451191 0.003924906 -0.02699995 -0.04264998 0.007149994 -0.03599995 -0.04451191 0.006074965 -0.02699995 -0.04264998 0.007149994 -0.02699995 -0.04451191 0.01392489 -0.03599995 -0.04078799 0.006074965 -0.02699995 -0.04264998 0.01284992 -0.02699995 -0.04078799 0.01392489 -0.02699995 -0.04451191 0.01607495 -0.03599995 -0.04451191 0.01392489 -0.02699995 -0.04451191 0.01607495 -0.02699995 -0.04264998 0.01714998 -0.02699995 -0.04078799 0.01607495 -0.02699995 -0.04659831 -0.01796239 -0.03581315 -0.04659831 0.01796263 -0.03581309 -0.04710131 -0.01888918 -0.0352149 -0.04741764 -0.01926755 -0.02699995 -0.04659831 -0.01981312 -0.0339626 -0.03949993 0.01999998 -0.02699995 -0.03849995 0.01999998 -0.02673196 -0.04565 0.01999998 -0.02699995 -0.04659831 0.01981312 -0.03396236 -0.04741764 0.01926755 -0.02699995 -0.04740947 0.01927596 -0.0338549 -0.04710131 0.01921486 -0.03488922 -0.04815 0.01749998 -0.02699995 -0.04815 0.01749998 -0.03349989 -0.04815 -0.01749998 -0.03349989 -0.04795908 0.01769185 -0.03445792 -0.04815 -0.01749998 -0.02699995 -0.04795908 -0.01845788 -0.03369182 -0.04795908 -0.01769185 -0.03445792 -0.04795908 0.01845788 -0.03369182 -0.04774117 0.01886993 -0.03377389 -0.04740953 -0.01927596 -0.03385514 -0.04774117 -0.01777398 -0.0348699 -0.04740953 0.0178551 -0.03527587 -0.04740947 -0.01785486 -0.03527587 -0.03349989 0.01724886 -0.01599997 -0.0464999 0.02775418 -0.1194367 -0.0464999 0.03139257 -0.1204116 -0.0464999 0.02298086 -0.1349809 -0.04635345 0.02323091 -0.135231 -0.0464999 0.02031749 -0.1323175 -0.0464999 0.008411586 -0.1433926 -0.046 0.008540987 -0.1438755 -0.0464999 0.03199487 -0.112495 -0.0464999 0.0324999 -0.112 -0.046 0.03187555 -0.120541 -0.0464999 0.02775418 -0.1045632 -0.0464999 0.03100514 -0.1124948 -0.046 0.0233345 -0.1353345 -0.0464999 0.03139257 -0.1035884 -0.0464999 0.03199476 -0.1115052 -0.0464999 0.02031749 -0.09168243 -0.0464999 0.02298086 -0.089019 -0.046 0.03187555 -0.103459 -0.0464999 0.008411586 -0.08060741 -0.046 0.0233345 -0.08866542 -0.0464999 0.007436633 -0.08424568 -0.0464999 0 -0.07949995 -0.046 0.008540987 -0.08012443 -0.0464999 -4.94975e-4 -0.08000499 -0.0464999 -0.008411586 -0.08060741 -0.0464999 4.94804e-4 -0.08000516 -0.0464999 -0.02031749 -0.09168243 -0.0464999 -0.02298086 -0.089019 -0.046 -0.008540987 -0.08012443 -0.0464999 -0.007436633 -0.08424574 -0.0464999 -4.94804e-4 -0.08099478 -0.0464999 -0.02775418 -0.1045632 -0.0464999 -0.03139257 -0.1035884 -0.04635345 -0.02323091 -0.08876901 -0.0464999 -0.03199487 -0.111505 -0.0464999 -0.0324999 -0.112 -0.046 -0.03187555 -0.103459 -0.0464999 -0.02775418 -0.1194367 -0.0464999 -0.03100514 -0.1115052 -0.046 -0.0233345 -0.08866542 -0.0464999 -0.03139257 -0.1204116 -0.0464999 -0.03199476 -0.1124948 -0.0464999 -0.02031749 -0.1323175 -0.0464999 -0.02298086 -0.1349809 -0.046 -0.03187555 -0.120541 -0.0464999 -0.008411586 -0.1433926 -0.046 -0.0233345 -0.1353345 -0.0464999 -0.007436633 -0.1397542 -0.0464999 0 -0.1445 -0.046 -0.008540987 -0.1438755 -0.0464999 4.94975e-4 -0.1439949 -0.0464999 -4.94804e-4 -0.1439948 -0.0464999 0.007436633 -0.1397542 -0.0464999 4.94804e-4 -0.1430052 -0.04609996 0.02031749 -0.1323175 -0.04609996 0.02775418 -0.1194367 -0.0464999 -4.94975e-4 -0.143005 -0.04609996 0.007436633 -0.1397542 -0.04609996 -0.007436633 -0.1397542 -0.04609996 -0.02031749 -0.1323175 -0.04609996 -0.02775418 -0.1194367 -0.0464999 -0.03100502 -0.112495 -0.04609996 -0.02775418 -0.1045632 -0.04609996 -0.02031749 -0.09168243 -0.0464999 4.94975e-4 -0.08099496 -0.04609996 -0.007436633 -0.08424574 -0.04609996 0.007436633 -0.08424568 -0.04609996 0.02031749 -0.09168243 -0.04609996 0.02775418 -0.1045632 -0.0464999 0.03100502 -0.111505 -0.04579997 0.03100502 -0.111505 -0.04579997 0.03100502 -0.112495 -0.04579997 0.03199487 -0.111505 -0.04579997 0.03199487 -0.112495 -0.04579997 -4.94975e-4 -0.08000499 -0.04579997 -4.94975e-4 -0.08099496 -0.04579997 4.94975e-4 -0.08000499 -0.04579997 4.94975e-4 -0.08099496 -0.04579997 -0.03199487 -0.111505 -0.04579997 -0.03199487 -0.112495 -0.04579997 -0.03100502 -0.111505 -0.04579997 -0.03100502 -0.112495 -0.04579997 -4.94975e-4 -0.143005 -0.04579997 -4.94975e-4 -0.1439949 -0.04579997 4.94975e-4 -0.143005 -0.04579997 4.94975e-4 -0.1439949 -0.04609996 0.02015244 -0.1321524 -0.04609996 0.02752888 -0.1193763 -0.04609996 -0.007376313 -0.1395289 -0.04609996 0.007376313 -0.1395288 -0.04609996 -0.02015244 -0.1321524 -0.04609996 -0.02752888 -0.1193763 -0.04609996 -0.02752888 -0.1046236 -0.04609996 -0.02015244 -0.09184741 -0.04609996 0.02752888 -0.1046236 -0.04609996 0.02015244 -0.09184741 -0.04609996 0.007376313 -0.0844711 -0.04609996 -0.007376313 -0.0844711 -0.0464999 0.02015244 -0.1321524 -0.0464999 0.02752888 -0.1193763 -0.0464999 0.007376313 -0.1395288 -0.0464999 -0.007376313 -0.1395289 -0.0464999 -0.02015244 -0.1321524 -0.0464999 -0.02752888 -0.1193763 -0.0464999 -0.02752888 -0.1046236 -0.0464999 -0.02015244 -0.09184741 -0.0464999 -0.007376313 -0.0844711 -0.0464999 0.007376313 -0.0844711 -0.0464999 0.02015244 -0.09184741 -0.0464999 0.02752888 -0.1046236 -0.0464999 0.01803112 -0.1300312 -0.0464999 0.02463108 -0.1185998 -0.0464999 -0.006599843 -0.1366311 -0.0464999 0.006599843 -0.1366311 -0.0464999 -0.01803112 -0.1300312 -0.0464999 -0.02463108 -0.1185998 -0.0464999 -0.02463108 -0.1054001 -0.0464999 -0.01803112 -0.09396874 -0.0464999 0.02463108 -0.1054001 -0.0464999 0.01803112 -0.09396874 -0.0464999 0.006599843 -0.08736884 -0.0464999 -0.006599843 -0.08736884 -0.04635345 0.01778113 -0.1297812 -0.046 0.02414804 -0.1184704 -0.046 0.006470382 -0.136148 -0.046 0.01767766 -0.1296777 -0.046 -0.006470382 -0.136148 -0.046 -0.01767766 -0.1296777 -0.046 -0.02414804 -0.1184704 -0.046 -0.02414804 -0.1055295 -0.04635345 -0.01778113 -0.09421879 -0.046 -0.006470382 -0.08785182 -0.046 -0.01767766 -0.09432232 -0.046 0.006470382 -0.08785182 -0.046 0.01767766 -0.09432232 -0.046 0.02414804 -0.1055295 -0.03899997 0.01767766 -0.1296777 -0.03899997 0.02414804 -0.1184704 -0.03899997 0.006470382 -0.136148 -0.03899997 -0.006470382 -0.136148 -0.03899997 -0.01767766 -0.1296777 -0.03899997 -0.02414804 -0.1184704 -0.03899997 -0.02414804 -0.1055295 -0.03899997 -0.01767766 -0.09432232 -0.03864634 0.01778113 -0.1297812 -0.03849995 0.02463108 -0.1185998 -0.03849995 0.006599843 -0.1366311 -0.03849995 0.01803112 -0.1300312 -0.03849995 -0.006599843 -0.1366311 -0.03849995 -0.01803112 -0.1300312 -0.03849995 -0.02463108 -0.1185998 -0.03849995 -0.02463108 -0.1054001 -0.03864634 -0.01778113 -0.09421879 -0.03899997 -0.006470382 -0.08785182 -0.03849995 0.02015244 -0.1321524 -0.03849995 0.02752888 -0.1193763 -0.03849995 0.007376313 -0.1395288 -0.03849995 -0.007376313 -0.1395289 -0.03849995 -0.02752888 -0.1193763 -0.03849995 -0.02015244 -0.1321524 -0.03849995 -0.02752888 -0.1046236 -0.03849995 -0.01803112 -0.09396874 -0.03849995 -0.02015244 -0.09184741 -0.03849995 -0.006599843 -0.08736884 -0.03849995 0.02463108 -0.1054001 -0.03849995 0.02752888 -0.1046236 -0.03849995 0.01803112 -0.09396874 -0.03899997 0.02414804 -0.1055295 -0.03849995 0.007376313 -0.0844711 -0.03849995 0.006599843 -0.08736884 -0.03899997 0.01767766 -0.09432232 -0.03849995 0.02015244 -0.09184741 -0.03849995 -0.007376313 -0.0844711 -0.03899997 0.006470382 -0.08785182 -0.03889989 0.02015244 -0.1321524 -0.03889989 0.02752888 -0.1193763 -0.03889989 0.007376313 -0.1395288 -0.03889989 -0.007376313 -0.1395289 -0.03889989 -0.02015244 -0.1321524 -0.03889989 -0.02752888 -0.1193763 -0.03889989 -0.02752888 -0.1046236 -0.03889989 -0.02015244 -0.09184741 -0.03889989 -0.007376313 -0.0844711 -0.03889989 0.007376313 -0.0844711 -0.03889989 0.02015244 -0.09184741 -0.03889989 0.02752888 -0.1046236 -0.03889989 0.02031749 -0.1323175 -0.03889989 0.02775418 -0.1194367 -0.03889989 0.007436633 -0.1397542 -0.03889989 -0.007436633 -0.1397542 -0.03889989 -0.02775418 -0.1194367 -0.03889989 -0.02031749 -0.1323175 -0.03889989 -0.02775418 -0.1045632 -0.03889989 -0.02031749 -0.09168243 -0.03889989 0.02775418 -0.1045632 -0.03889989 0.007436633 -0.08424568 -0.03889989 0.02031749 -0.09168243 -0.03889989 -0.007436633 -0.08424574 -0.03849995 0.02031749 -0.1323175 -0.03849995 0.02775418 -0.1194367 -0.03849995 0.007436633 -0.1397542 -0.03849995 -0.007436633 -0.1397542 -0.03849995 -0.02031749 -0.1323175 -0.03849995 -0.02775418 -0.1194367 -0.03849995 -0.02775418 -0.1045632 -0.03849995 -0.02031749 -0.09168243 -0.03849995 -0.007436633 -0.08424574 -0.03849995 0.007436633 -0.08424568 -0.03849995 0.02031749 -0.09168243 -0.03849995 0.02775418 -0.1045632 -0.03849995 0.02298086 -0.1349809 -0.03849995 0.03139257 -0.1204116 -0.03849995 0.008411586 -0.1433926 -0.03849995 -0.008411586 -0.1433926 -0.03849995 4.94804e-4 -0.1430052 -0.03849995 0 -0.1445 -0.03849995 -4.94804e-4 -0.1439948 -0.03849995 -4.94975e-4 -0.143005 -0.03849995 -0.03139257 -0.1204116 -0.03849995 -0.02298086 -0.1349809 -0.03849995 -0.03100502 -0.112495 -0.03849995 -0.0324999 -0.112 -0.03849995 -0.03199476 -0.1124948 -0.03849995 -0.03139257 -0.1035884 -0.03849995 -0.03100514 -0.1115052 -0.03849995 -0.02298086 -0.089019 -0.03849995 0.03100502 -0.111505 -0.03849995 0.03100514 -0.1124948 -0.03849995 0.03139257 -0.1035884 -0.03849995 0.0324999 -0.112 -0.03849995 0.03199476 -0.1115052 -0.03849995 0.008411586 -0.08060741 -0.03849995 0.02298086 -0.089019 -0.03849995 -0.008411586 -0.08060741 -0.03849995 -4.94804e-4 -0.08099478 -0.03849995 0 -0.07949995 -0.03849995 4.94804e-4 -0.08000516 -0.03849995 4.94975e-4 -0.08099496 -0.03864634 0.02323091 -0.135231 -0.03899997 0.03187555 -0.120541 -0.03849995 4.94975e-4 -0.1439949 -0.03899997 0.008540987 -0.1438755 -0.03899997 0.0233345 -0.1353345 -0.03899997 -0.008540987 -0.1438755 -0.03899997 -0.0233345 -0.1353345 -0.03899997 -0.03187555 -0.120541 -0.03849995 -0.03199487 -0.111505 -0.03899997 -0.03187555 -0.103459 -0.03864634 -0.02323091 -0.08876901 -0.03849995 -4.94975e-4 -0.08000499 -0.03899997 -0.008540987 -0.08012443 -0.03899997 -0.0233345 -0.08866542 -0.03899997 0.008540987 -0.08012443 -0.03899997 0.0233345 -0.08866542 -0.03899997 0.03187555 -0.103459 -0.03849995 0.03199487 -0.112495 -0.03919988 0.03100502 -0.111505 -0.03919988 0.03199487 -0.111505 -0.03919988 0.03100502 -0.112495 -0.03919988 0.03199487 -0.112495 -0.03919988 -4.94975e-4 -0.08000499 -0.03919988 4.94975e-4 -0.08000499 -0.03919988 -4.94975e-4 -0.08099496 -0.03919988 4.94975e-4 -0.08099496 -0.03919988 -0.03199487 -0.111505 -0.03919988 -0.03100502 -0.111505 -0.03919988 -0.03199487 -0.112495 -0.03919988 -0.03100502 -0.112495 -0.03919988 -4.94975e-4 -0.143005 -0.03919988 4.94975e-4 -0.143005 -0.03919988 -4.94975e-4 -0.1439949 -0.03919988 4.94975e-4 -0.1439949 -0.0417 0.0233345 -0.1353345 -0.0417 0.03187555 -0.120541 -0.0417 0.008540987 -0.1438755 -0.0417 -0.008540987 -0.1438755 -0.0417 -0.0233345 -0.1353345 -0.0417 -0.03187555 -0.120541 -0.0417 -0.03187555 -0.103459 -0.0417 -0.0233345 -0.08866542 -0.04209995 0.02322137 -0.1352214 -0.04209995 0.02357226 -0.1348651 -0.04209995 0.02391767 -0.1345035 -0.04249989 0.008135735 -0.1436511 -0.04209995 0.02286499 -0.1355723 -0.04209995 0.02250349 -0.1359177 -0.04230004 0.02244687 -0.135861 -0.04249989 0.0223903 -0.1358045 -0.04209995 -0.02250349 -0.1359177 -0.04249989 -0.008135735 -0.1436511 -0.04249989 -0.0223903 -0.1358045 -0.04230004 -0.02244687 -0.135861 -0.04209995 -0.02322137 -0.1352214 -0.04249989 -0.03165102 -0.1201357 -0.04209995 -0.02391767 -0.1345035 -0.04230004 -0.02386111 -0.1344469 -0.04249989 -0.02380448 -0.1343902 -0.04209995 -0.02391767 -0.08949649 -0.04249989 -0.03165102 -0.1038642 -0.04249989 -0.02380448 -0.08960968 -0.04230004 -0.02386111 -0.08955305 -0.04209995 -0.02357226 -0.08913487 -0.04209995 -0.02322137 -0.08877861 -0.0417 -0.008540987 -0.08012443 -0.04209995 0.02262741 -0.1332132 -0.0428999 0.02121317 -0.1346274 -0.04209995 0.02121317 -0.1346274 -0.04329997 0.008540987 -0.1438755 -0.0428999 0.02250349 -0.1359177 -0.04269993 0.02244687 -0.135861 -0.04329997 -0.008540987 -0.1438755 -0.04209995 -0.02121317 -0.1346274 -0.04269993 -0.02244687 -0.135861 -0.0428999 -0.02262741 -0.1332132 -0.04209995 -0.02262741 -0.1332132 -0.04329997 -0.03187555 -0.120541 -0.0428999 -0.02391767 -0.1345035 -0.04269993 -0.02386111 -0.1344469 -0.04329997 -0.03187555 -0.103459 -0.04209995 -0.02262741 -0.09078675 -0.04269993 -0.02386111 -0.08955305 -0.04209995 -0.02286499 -0.08842766 -0.04329997 0.0233345 -0.1353345 -0.0428999 0.02286499 -0.1355723 -0.0428999 0.02322137 -0.1352214 -0.04329997 0.03187555 -0.120541 -0.0428999 0.02357226 -0.1348651 -0.0428999 -0.02322137 -0.1352214 -0.04329997 -0.0233345 -0.1353345 -0.0428999 -0.02250349 -0.1359177 -0.0428999 -0.02322137 -0.08877861 -0.04329997 -0.0233345 -0.08866542 -0.0428999 -0.02357226 -0.08913487 -0.0428999 -0.02391767 -0.08949649 -0.0428999 -0.02286499 -0.08842766 -0.04329997 -0.008540987 -0.08012443 -0.0428999 -0.02250349 -0.08808225 -0.0428999 -0.02121317 -0.08937257 -0.0428999 -0.02262741 -0.09078675 -0.0428999 -0.02121317 -0.1346274 -0.0417 0.008540987 -0.08012443 -0.0417 0.0233345 -0.08866542 -0.0417 0.03187555 -0.103459 -0.04249989 -0.008135735 -0.0803489 -0.04209995 -0.02250349 -0.08808225 -0.04230004 -0.02244687 -0.08813887 -0.04249989 -0.0223903 -0.08819544 -0.04209995 0.02250349 -0.08808225 -0.04249989 0.008135735 -0.0803489 -0.04249989 0.0223903 -0.08819544 -0.04230004 0.02244687 -0.08813887 -0.04209995 0.02322137 -0.08877861 -0.04249989 0.03165102 -0.1038642 -0.04209995 0.02391767 -0.08949649 -0.04230004 0.02386111 -0.08955305 -0.04249989 0.02380448 -0.08960968 -0.04230004 0.02386111 -0.1344469 -0.04249989 0.03165102 -0.1201357 -0.04249989 0.02380448 -0.1343902 -0.04269993 0.02386111 -0.1344469 -0.04209995 -0.02121317 -0.08937257 -0.04269993 -0.02244687 -0.08813887 -0.04329997 0.008540987 -0.08012443 -0.04209995 0.02121317 -0.08937257 -0.04269993 0.02244687 -0.08813887 -0.0428999 0.02262741 -0.09078675 -0.04209995 0.02262741 -0.09078675 -0.04329997 0.03187555 -0.103459 -0.04269993 0.02386111 -0.08955305 -0.0428999 0.02391767 -0.08949649 -0.04329997 0.0233345 -0.08866542 -0.0428999 0.02322137 -0.08877861 -0.0428999 0.02250349 -0.08808225 -0.0428999 0.02121317 -0.08937257 -0.0428999 0.02391767 -0.1345035 -0.0428999 0.02262741 -0.1332132 0.0464999 -0.02775418 -0.1194367 0.0464999 -0.03139257 -0.1204116 0.0464999 -0.02298086 -0.1349809 0.04635345 -0.02323091 -0.135231 0.0464999 -0.02031749 -0.1323175 0.0464999 -0.008411586 -0.1433926 0.046 -0.008540987 -0.1438755 0.0464999 -0.03199487 -0.112495 0.0464999 -0.0324999 -0.112 0.046 -0.03187555 -0.120541 0.0464999 -0.02775418 -0.1045632 0.0464999 -0.03100514 -0.1124948 0.046 -0.0233345 -0.1353345 0.0464999 -0.03139257 -0.1035884 0.0464999 -0.03199476 -0.1115052 0.0464999 -0.02031749 -0.09168243 0.0464999 -0.02298086 -0.089019 0.046 -0.03187555 -0.103459 0.0464999 -0.008411586 -0.08060741 0.046 -0.0233345 -0.08866542 0.0464999 -0.007436633 -0.08424568 0.0464999 0 -0.07949995 0.046 -0.008540987 -0.08012443 0.0464999 4.94975e-4 -0.08000499 0.0464999 0.008411586 -0.08060741 0.0464999 -4.94804e-4 -0.08000516 0.0464999 0.02031749 -0.09168243 0.0464999 0.02298086 -0.089019 0.046 0.008540987 -0.08012443 0.0464999 0.007436633 -0.08424574 0.0464999 4.94804e-4 -0.08099478 0.0464999 0.02775418 -0.1045632 0.0464999 0.03139257 -0.1035884 0.04635345 0.02323091 -0.08876901 0.0464999 0.03199487 -0.111505 0.0464999 0.0324999 -0.112 0.046 0.03187555 -0.103459 0.0464999 0.02775418 -0.1194367 0.0464999 0.03100514 -0.1115052 0.046 0.0233345 -0.08866542 0.0464999 0.03139257 -0.1204116 0.0464999 0.03199476 -0.1124948 0.0464999 0.02031749 -0.1323175 0.0464999 0.02298086 -0.1349809 0.046 0.03187555 -0.120541 0.0464999 0.008411586 -0.1433926 0.046 0.0233345 -0.1353345 0.0464999 0.007436633 -0.1397542 0.0464999 0 -0.1445 0.046 0.008540987 -0.1438755 0.0464999 -4.94975e-4 -0.1439949 0.0464999 4.94804e-4 -0.1439948 0.0464999 -0.007436633 -0.1397542 0.0464999 -4.94804e-4 -0.1430052 0.04609996 -0.02031749 -0.1323175 0.04609996 -0.02775418 -0.1194367 0.0464999 4.94975e-4 -0.143005 0.04609996 -0.007436633 -0.1397542 0.04609996 0.007436633 -0.1397542 0.04609996 0.02031749 -0.1323175 0.04609996 0.02775418 -0.1194367 0.0464999 0.03100502 -0.112495 0.04609996 0.02775418 -0.1045632 0.04609996 0.02031749 -0.09168243 0.0464999 -4.94975e-4 -0.08099496 0.04609996 0.007436633 -0.08424574 0.04609996 -0.007436633 -0.08424568 0.04609996 -0.02031749 -0.09168243 0.04609996 -0.02775418 -0.1045632 0.0464999 -0.03100502 -0.111505 0.04579997 -0.03100502 -0.111505 0.04579997 -0.03100502 -0.112495 0.04579997 -0.03199487 -0.111505 0.04579997 -0.03199487 -0.112495 0.04579997 4.94975e-4 -0.08000499 0.04579997 4.94975e-4 -0.08099496 0.04579997 -4.94975e-4 -0.08000499 0.04579997 -4.94975e-4 -0.08099496 0.04579997 0.03199487 -0.111505 0.04579997 0.03199487 -0.112495 0.04579997 0.03100502 -0.111505 0.04579997 0.03100502 -0.112495 0.04579997 4.94975e-4 -0.143005 0.04579997 4.94975e-4 -0.1439949 0.04579997 -4.94975e-4 -0.143005 0.04579997 -4.94975e-4 -0.1439949 0.04609996 -0.02015244 -0.1321524 0.04609996 -0.02752888 -0.1193763 0.04609996 0.007376313 -0.1395289 0.04609996 -0.007376313 -0.1395288 0.04609996 0.02015244 -0.1321524 0.04609996 0.02752888 -0.1193763 0.04609996 0.02752888 -0.1046236 0.04609996 0.02015244 -0.09184741 0.04609996 -0.02752888 -0.1046236 0.04609996 -0.02015244 -0.09184741 0.04609996 -0.007376313 -0.0844711 0.04609996 0.007376313 -0.0844711 0.0464999 -0.02015244 -0.1321524 0.0464999 -0.02752888 -0.1193763 0.0464999 -0.007376313 -0.1395288 0.0464999 0.007376313 -0.1395289 0.0464999 0.02015244 -0.1321524 0.0464999 0.02752888 -0.1193763 0.0464999 0.02752888 -0.1046236 0.0464999 0.02015244 -0.09184741 0.0464999 0.007376313 -0.0844711 0.0464999 -0.007376313 -0.0844711 0.0464999 -0.02015244 -0.09184741 0.0464999 -0.02752888 -0.1046236 0.0464999 -0.01803112 -0.1300312 0.0464999 -0.02463108 -0.1185998 0.0464999 0.006599843 -0.1366311 0.0464999 -0.006599843 -0.1366311 0.0464999 0.01803112 -0.1300312 0.0464999 0.02463108 -0.1185998 0.0464999 0.02463108 -0.1054001 0.0464999 0.01803112 -0.09396874 0.0464999 -0.02463108 -0.1054001 0.0464999 -0.01803112 -0.09396874 0.0464999 -0.006599843 -0.08736884 0.0464999 0.006599843 -0.08736884 0.04635345 -0.01778113 -0.1297812 0.046 -0.02414804 -0.1184704 0.046 -0.006470382 -0.136148 0.046 -0.01767766 -0.1296777 0.046 0.006470382 -0.136148 0.046 0.01767766 -0.1296777 0.046 0.02414804 -0.1184704 0.046 0.02414804 -0.1055295 0.04635345 0.01778113 -0.09421879 0.046 0.006470382 -0.08785182 0.046 0.01767766 -0.09432232 0.046 -0.006470382 -0.08785182 0.046 -0.01767766 -0.09432232 0.046 -0.02414804 -0.1055295 0.03899997 -0.01767766 -0.1296777 0.03899997 -0.02414804 -0.1184704 0.03899997 -0.006470382 -0.136148 0.03899997 0.006470382 -0.136148 0.03899997 0.01767766 -0.1296777 0.03899997 0.02414804 -0.1184704 0.03899997 0.02414804 -0.1055295 0.03899997 0.01767766 -0.09432232 0.03864634 -0.01778113 -0.1297812 0.03849995 -0.02463108 -0.1185998 0.03849995 -0.006599843 -0.1366311 0.03849995 -0.01803112 -0.1300312 0.03849995 0.006599843 -0.1366311 0.03849995 0.01803112 -0.1300312 0.03849995 0.02463108 -0.1185998 0.03849995 0.02463108 -0.1054001 0.03864634 0.01778113 -0.09421879 0.03899997 0.006470382 -0.08785182 0.03849995 -0.02015244 -0.1321524 0.03849995 -0.02752888 -0.1193763 0.03849995 -0.007376313 -0.1395288 0.03849995 0.007376313 -0.1395289 0.03849995 0.02752888 -0.1193763 0.03849995 0.02015244 -0.1321524 0.03849995 0.02752888 -0.1046236 0.03849995 0.01803112 -0.09396874 0.03849995 0.02015244 -0.09184741 0.03849995 0.006599843 -0.08736884 0.03849995 -0.02463108 -0.1054001 0.03849995 -0.02752888 -0.1046236 0.03849995 -0.01803112 -0.09396874 0.03899997 -0.02414804 -0.1055295 0.03849995 -0.007376313 -0.0844711 0.03849995 -0.006599843 -0.08736884 0.03899997 -0.01767766 -0.09432232 0.03849995 -0.02015244 -0.09184741 0.03849995 0.007376313 -0.0844711 0.03899997 -0.006470382 -0.08785182 0.03889989 -0.02015244 -0.1321524 0.03889989 -0.02752888 -0.1193763 0.03889989 -0.007376313 -0.1395288 0.03889989 0.007376313 -0.1395289 0.03889989 0.02015244 -0.1321524 0.03889989 0.02752888 -0.1193763 0.03889989 0.02752888 -0.1046236 0.03889989 0.02015244 -0.09184741 0.03889989 0.007376313 -0.0844711 0.03889989 -0.007376313 -0.0844711 0.03889989 -0.02015244 -0.09184741 0.03889989 -0.02752888 -0.1046236 0.03889989 -0.02031749 -0.1323175 0.03889989 -0.02775418 -0.1194367 0.03889989 -0.007436633 -0.1397542 0.03889989 0.007436633 -0.1397542 0.03889989 0.02775418 -0.1194367 0.03889989 0.02031749 -0.1323175 0.03889989 0.02775418 -0.1045632 0.03889989 0.02031749 -0.09168243 0.03889989 -0.02775418 -0.1045632 0.03889989 -0.007436633 -0.08424568 0.03889989 -0.02031749 -0.09168243 0.03889989 0.007436633 -0.08424574 0.03849995 -0.02031749 -0.1323175 0.03849995 -0.02775418 -0.1194367 0.03849995 -0.007436633 -0.1397542 0.03849995 0.007436633 -0.1397542 0.03849995 0.02031749 -0.1323175 0.03849995 0.02775418 -0.1194367 0.03849995 0.02775418 -0.1045632 0.03849995 0.02031749 -0.09168243 0.03849995 0.007436633 -0.08424574 0.03849995 -0.007436633 -0.08424568 0.03849995 -0.02031749 -0.09168243 0.03849995 -0.02775418 -0.1045632 0.03849995 -0.02298086 -0.1349809 0.03849995 -0.03139257 -0.1204116 0.03849995 -0.008411586 -0.1433926 0.03849995 0.008411586 -0.1433926 0.03849995 -4.94804e-4 -0.1430052 0.03849995 0 -0.1445 0.03849995 4.94804e-4 -0.1439948 0.03849995 4.94975e-4 -0.143005 0.03849995 0.03139257 -0.1204116 0.03849995 0.02298086 -0.1349809 0.03849995 0.03100502 -0.112495 0.03849995 0.0324999 -0.112 0.03849995 0.03199476 -0.1124948 0.03849995 0.03139257 -0.1035884 0.03849995 0.03100514 -0.1115052 0.03849995 0.02298086 -0.089019 0.03849995 -0.03100502 -0.111505 0.03849995 -0.03100514 -0.1124948 0.03849995 -0.03139257 -0.1035884 0.03849995 -0.0324999 -0.112 0.03849995 -0.03199476 -0.1115052 0.03849995 -0.008411586 -0.08060741 0.03849995 -0.02298086 -0.089019 0.03849995 0.008411586 -0.08060741 0.03849995 4.94804e-4 -0.08099478 0.03849995 0 -0.07949995 0.03849995 -4.94804e-4 -0.08000516 0.03849995 -4.94975e-4 -0.08099496 0.03864634 -0.02323091 -0.135231 0.03899997 -0.03187555 -0.120541 0.03849995 -4.94975e-4 -0.1439949 0.03899997 -0.008540987 -0.1438755 0.03899997 -0.0233345 -0.1353345 0.03899997 0.008540987 -0.1438755 0.03899997 0.0233345 -0.1353345 0.03899997 0.03187555 -0.120541 0.03849995 0.03199487 -0.111505 0.03899997 0.03187555 -0.103459 0.03864634 0.02323091 -0.08876901 0.03849995 4.94975e-4 -0.08000499 0.03899997 0.008540987 -0.08012443 0.03899997 0.0233345 -0.08866542 0.03899997 -0.008540987 -0.08012443 0.03899997 -0.0233345 -0.08866542 0.03899997 -0.03187555 -0.103459 0.03849995 -0.03199487 -0.112495 0.03919988 -0.03100502 -0.111505 0.03919988 -0.03199487 -0.111505 0.03919988 -0.03100502 -0.112495 0.03919988 -0.03199487 -0.112495 0.03919988 4.94975e-4 -0.08000499 0.03919988 -4.94975e-4 -0.08000499 0.03919988 4.94975e-4 -0.08099496 0.03919988 -4.94975e-4 -0.08099496 0.03919988 0.03199487 -0.111505 0.03919988 0.03100502 -0.111505 0.03919988 0.03199487 -0.112495 0.03919988 0.03100502 -0.112495 0.03919988 4.94975e-4 -0.143005 0.03919988 -4.94975e-4 -0.143005 0.03919988 4.94975e-4 -0.1439949 0.03919988 -4.94975e-4 -0.1439949 0.0417 -0.0233345 -0.1353345 0.0417 -0.03187555 -0.120541 0.0417 -0.008540987 -0.1438755 0.0417 0.008540987 -0.1438755 0.0417 0.0233345 -0.1353345 0.0417 0.03187555 -0.120541 0.0417 0.03187555 -0.103459 0.0417 0.0233345 -0.08866542 0.04209995 -0.02322137 -0.1352214 0.04209995 -0.02357226 -0.1348651 0.04209995 -0.02391767 -0.1345035 0.04249989 -0.008135735 -0.1436511 0.04209995 -0.02286499 -0.1355723 0.04209995 -0.02250349 -0.1359177 0.04230004 -0.02244687 -0.135861 0.04249989 -0.0223903 -0.1358045 0.04209995 0.02250349 -0.1359177 0.04249989 0.008135735 -0.1436511 0.04249989 0.0223903 -0.1358045 0.04230004 0.02244687 -0.135861 0.04209995 0.02322137 -0.1352214 0.04249989 0.03165102 -0.1201357 0.04209995 0.02391767 -0.1345035 0.04230004 0.02386111 -0.1344469 0.04249989 0.02380448 -0.1343902 0.04209995 0.02391767 -0.08949649 0.04249989 0.03165102 -0.1038642 0.04249989 0.02380448 -0.08960968 0.04230004 0.02386111 -0.08955305 0.04209995 0.02357226 -0.08913487 0.04209995 0.02322137 -0.08877861 0.0417 0.008540987 -0.08012443 0.04209995 -0.02262741 -0.1332132 0.0428999 -0.02121317 -0.1346274 0.04209995 -0.02121317 -0.1346274 0.04329997 -0.008540987 -0.1438755 0.0428999 -0.02250349 -0.1359177 0.04269993 -0.02244687 -0.135861 0.04329997 0.008540987 -0.1438755 0.04209995 0.02121317 -0.1346274 0.04269993 0.02244687 -0.135861 0.0428999 0.02262741 -0.1332132 0.04209995 0.02262741 -0.1332132 0.04329997 0.03187555 -0.120541 0.0428999 0.02391767 -0.1345035 0.04269993 0.02386111 -0.1344469 0.04329997 0.03187555 -0.103459 0.04209995 0.02262741 -0.09078675 0.04269993 0.02386111 -0.08955305 0.04209995 0.02286499 -0.08842766 0.04329997 -0.0233345 -0.1353345 0.0428999 -0.02286499 -0.1355723 0.0428999 -0.02322137 -0.1352214 0.04329997 -0.03187555 -0.120541 0.0428999 -0.02357226 -0.1348651 0.0428999 0.02322137 -0.1352214 0.04329997 0.0233345 -0.1353345 0.0428999 0.02250349 -0.1359177 0.0428999 0.02322137 -0.08877861 0.04329997 0.0233345 -0.08866542 0.0428999 0.02357226 -0.08913487 0.0428999 0.02391767 -0.08949649 0.0428999 0.02286499 -0.08842766 0.04329997 0.008540987 -0.08012443 0.0428999 0.02250349 -0.08808225 0.0428999 0.02121317 -0.08937257 0.0428999 0.02262741 -0.09078675 0.0428999 0.02121317 -0.1346274 0.0417 -0.008540987 -0.08012443 0.0417 -0.0233345 -0.08866542 0.0417 -0.03187555 -0.103459 0.04249989 0.008135735 -0.0803489 0.04209995 0.02250349 -0.08808225 0.04230004 0.02244687 -0.08813887 0.04249989 0.0223903 -0.08819544 0.04209995 -0.02250349 -0.08808225 0.04249989 -0.008135735 -0.0803489 0.04249989 -0.0223903 -0.08819544 0.04230004 -0.02244687 -0.08813887 0.04209995 -0.02322137 -0.08877861 0.04249989 -0.03165102 -0.1038642 0.04209995 -0.02391767 -0.08949649 0.04230004 -0.02386111 -0.08955305 0.04249989 -0.02380448 -0.08960968 0.04230004 -0.02386111 -0.1344469 0.04249989 -0.03165102 -0.1201357 0.04249989 -0.02380448 -0.1343902 0.04269993 -0.02386111 -0.1344469 0.04209995 0.02121317 -0.08937257 0.04269993 0.02244687 -0.08813887 0.04329997 -0.008540987 -0.08012443 0.04209995 -0.02121317 -0.08937257 0.04269993 -0.02244687 -0.08813887 0.0428999 -0.02262741 -0.09078675 0.04209995 -0.02262741 -0.09078675 0.04329997 -0.03187555 -0.103459 0.04269993 -0.02386111 -0.08955305 0.0428999 -0.02391767 -0.08949649 0.04329997 -0.0233345 -0.08866542 0.0428999 -0.02322137 -0.08877861 0.0428999 -0.02250349 -0.08808225 0.0428999 -0.02121317 -0.08937257 0.0428999 -0.02391767 -0.1345035 0.0428999 -0.02262741 -0.1332132 -0.04949992 0.02849996 -0.03899997 -0.04949992 0.0246815 -0.09775024 -0.04949992 0.02849996 -0.112 -0.0464999 0.02849996 -0.112 -0.05649989 0.02849996 -0.02699995 -0.05649989 0.02849996 -0.112 -0.0464999 0.0246821 -0.1262485 -0.04949992 0.01425194 -0.08731967 -0.0464999 0.0246821 -0.09775131 -0.04949992 0.0174992 -0.07133024 -0.04949992 0 -0.08349996 -0.0464999 0.01424854 -0.08731782 -0.04949992 0.01933026 -0.06949925 -0.04949992 0.01499992 -0.07199996 -0.04949992 -0.01425194 -0.08731967 -0.0464999 0 -0.08349996 -0.04949992 0.02449995 -0.04299998 -0.04949992 -0.0246815 -0.09775024 -0.0464999 -0.0246821 -0.09775131 -0.04949992 0.0125007 -0.06266969 -0.04949992 0.0125007 -0.07133024 -0.04949992 0.01066964 -0.06450068 -0.04949992 0.00999999 -0.06699997 -0.04949992 0.01066964 -0.06949925 -0.0464999 -0.01424854 -0.08731782 -0.04949992 -0.02449995 -0.04299998 -0.04949992 -0.02849996 -0.112 -0.04949992 -0.02732825 -0.04182821 -0.04949992 -0.02849996 -0.03899997 -0.05649989 -0.02849996 -0.112 -0.05649989 -0.02468258 -0.1262482 -0.04949992 -0.02468228 -0.126249 -0.0464999 -0.02849996 -0.112 -0.03299999 -0.02849996 -0.03899997 -0.05649989 -0.02849996 -0.02699995 -0.03299999 -0.02849996 -0.02699995 -0.03299999 -0.02732825 -0.04182821 -0.04429996 -0.01499992 -0.04299998 -0.03299999 -0.02449995 -0.04299998 -0.04347532 -0.01642835 -0.04299998 -0.04949992 0.01499992 -0.06199991 -0.04949992 0.02732825 -0.04182821 -0.03299999 0.02449995 -0.04299998 -0.04182451 0.01642835 -0.04299998 -0.04347532 -0.01357156 -0.04299998 -0.04429996 -0.004999995 -0.04299998 -0.04347532 -0.003571629 -0.04299998 -0.04429996 0.004999995 -0.04299998 -0.04347532 0.006428301 -0.04299998 -0.04182451 0.006428301 -0.04299998 -0.04429996 0.01499992 -0.04299998 -0.04347532 0.01642835 -0.04299998 -0.04949992 0.01933026 -0.06450068 -0.03299999 0.02732825 -0.04182821 -0.04949992 0.0174992 -0.06266969 -0.04949992 0.01999998 -0.06699997 -0.03299999 0.02849996 -0.03899997 -0.05349993 0.01499992 -0.07199996 -0.05349993 0.012501 -0.07133054 -0.05349993 0.01749897 -0.07133054 -0.05349993 0.0193293 -0.06950056 -0.05349993 0.01999956 -0.06699997 -0.05349993 0.0193293 -0.06449937 -0.05349993 0.01749897 -0.06266939 -0.05349993 0.01499992 -0.06199991 -0.05349993 0.012501 -0.06266939 -0.05349993 0.01067054 -0.06449937 -0.05349993 0.01000028 -0.06699997 -0.05349993 0.01067054 -0.06950056 -0.05649989 -0.02673 -0.112 -0.05649989 0.023 -0.032 -0.04815 0.01799988 -0.02699995 -0.05649989 -0.02449053 -0.1081207 -0.05649989 -0.02499997 -0.07636332 -0.05649989 0.006928861 -0.032 -0.05649989 -0.006738126 -0.032 -0.05649989 -0.023 -0.032 -0.05649989 -0.02441418 -0.03258574 -0.05649989 -0.02499997 -0.03399991 -0.03299999 -0.01999998 -0.02699995 -0.04815 -0.01799988 -0.02699995 -0.04756414 -0.01941418 -0.02699995 -0.0461499 -0.01999998 -0.02699995 -0.05649989 -0.01689171 -0.1234058 -0.05649989 -0.02449053 -0.1158791 -0.05649989 -0.01890093 -0.1309009 -0.05649989 -0.01425117 -0.1366806 -0.04949992 -0.01425123 -0.136681 -0.05649989 -0.02006036 -0.1265743 -0.05649989 0 -0.1387299 -0.05649989 0 -0.1404995 -0.05649989 -0.00387907 -0.1364905 -0.05649989 0.01425117 -0.1366806 -0.04949992 0 -0.1405 -0.05649989 0.01890093 -0.1309009 -0.05649989 0.02468258 -0.1262482 -0.0464999 0.01424854 -0.136682 -0.05649989 0.00387907 -0.1364905 -0.05649989 0.01457434 -0.1320604 -0.0464999 0 -0.1405 -0.05649989 0.02673 -0.112 -0.05649989 0.02000939 -0.1158791 -0.05649989 0.01616829 -0.1172516 -0.05649989 0.01689171 -0.1234058 -0.05649989 0.02449053 -0.1158791 -0.05649989 0.02006036 -0.1265743 -0.05649989 0.02499997 -0.03399991 -0.05649989 0.02006036 -0.09742552 -0.05649989 0.01890093 -0.09309899 -0.05649989 0.0167573 -0.08720773 -0.05649989 0.01689171 -0.1005941 -0.05649989 0.02449053 -0.1081207 -0.05649989 0.02248185 -0.08496665 -0.05649989 0.02499997 -0.08303511 -0.05649989 0.02421778 -0.08462136 -0.05649989 0.02441418 -0.03258574 -0.03299999 0.02849996 -0.02699995 -0.04756414 0.01941418 -0.02699995 -0.05649989 0.01140576 -0.09510815 -0.05649989 0.009991347 -0.09824651 -0.05649989 0 -0.09499996 -0.05199992 0 -0.09499996 -0.05649989 -0.01140576 -0.09510815 -0.05649989 -0.009991347 -0.09824651 -0.05199992 -0.009992718 -0.0982474 -0.05649989 -0.01457434 -0.09193956 -0.05649989 0 -0.09422999 -0.05649989 0.01256519 -0.09943467 -0.05649989 0.01616829 -0.1067484 -0.05199992 0.009992718 -0.0982474 -0.05649989 0.01776999 -0.112 -0.05199992 0.01616734 -0.1067454 -0.05649989 0.02000939 -0.1081207 -0.05649989 0.01256519 -0.1245653 -0.05649989 0.009991347 -0.1257534 -0.05199992 0.01616734 -0.1172546 -0.05649989 0.01140576 -0.1288918 -0.05649989 0 -0.129 -0.05199992 0.009992718 -0.1257526 -0.05649989 -0.01140576 -0.1288918 -0.05649989 -0.009991347 -0.1257534 -0.05199992 0 -0.129 -0.05649989 0 -0.12977 -0.05649989 -0.01256519 -0.1245653 -0.05649989 -0.01616829 -0.1172516 -0.05199992 -0.009992718 -0.1257526 -0.05649989 -0.01776999 -0.112 -0.05649989 -0.01616829 -0.1067484 -0.05199992 -0.01616734 -0.1172546 -0.05649989 -0.02000939 -0.1158791 -0.05649989 -0.01256519 -0.09943467 -0.05199992 -0.01616734 -0.1067454 -0.05649989 -0.02000939 -0.1081207 -0.05649989 -0.02006036 -0.09742552 -0.05649989 -0.01689171 -0.1005941 -0.05649989 0.00387907 -0.1320095 -0.05416995 0 -0.1321 -0.05649989 -0.00387907 -0.1320095 -0.05416995 -0.00186187 -0.133175 -0.05416995 0.00186187 -0.133175 -0.05416995 0.00186187 -0.135325 -0.05416995 0 -0.1364 -0.05649989 -0.01457434 -0.1320604 -0.05416995 -0.00186187 -0.135325 -0.05416995 -0.01421278 -0.1262128 -0.05416995 -0.01628959 -0.1256564 -0.05416995 -0.01365631 -0.1282895 -0.05416995 -0.01517665 -0.1298097 -0.05416995 -0.01725333 -0.1292534 -0.05416995 -0.0178098 -0.1271767 -0.05416995 -0.02009993 -0.112 -0.05416995 -0.0211749 -0.1101379 -0.05416995 -0.0211749 -0.1138619 -0.05416995 -0.02332496 -0.1138619 -0.05416995 -0.02439999 -0.112 -0.05416995 -0.02332496 -0.1101379 -0.05416995 -0.01421278 -0.09778714 -0.05416995 -0.01365631 -0.09571039 -0.05416995 -0.01628959 -0.09834361 -0.05649989 -0.02085 -0.08864802 -0.05649989 -0.01890093 -0.09309899 -0.05416995 -0.0178098 -0.09682333 -0.05649989 -0.02011501 -0.0896973 -0.05416995 -0.01725333 -0.09474658 -0.05416995 -0.01517665 -0.09419012 -0.05649989 -0.00387907 -0.09199053 -0.05649989 -0.01889425 -0.09008556 -0.05416995 0 -0.09189999 -0.05649989 0.00387907 -0.09199053 -0.05416995 0.00186187 -0.09082496 -0.05649989 -0.01768934 -0.0896542 -0.05649989 -0.00387907 -0.08750945 -0.05416995 -0.00186187 -0.09082496 -0.05649989 -0.007585048 -0.08452785 -0.05649989 0 -0.08526998 -0.05416995 -0.00186187 -0.08867496 -0.05649989 0.01443159 -0.08742403 -0.05649989 0.00387907 -0.08750945 -0.05416995 0 -0.08759999 -0.05649989 0.003716409 -0.08374333 -0.05649989 0.01457434 -0.09193956 -0.05416995 0.00186187 -0.08867496 -0.05416995 0.01421278 -0.09778714 -0.05416995 0.01628959 -0.09834361 -0.05416995 0.01365631 -0.09571039 -0.05416995 0.01517665 -0.09419012 -0.05416995 0.01725333 -0.09474658 -0.05416995 0.0178098 -0.09682333 -0.05416995 0.02009993 -0.112 -0.05416995 0.0211749 -0.1138619 -0.05416995 0.0211749 -0.1101379 -0.05416995 0.02332496 -0.1101379 -0.05416995 0.02439999 -0.112 -0.05416995 0.02332496 -0.1138619 -0.05416995 0.01421278 -0.1262128 -0.05416995 0.01365631 -0.1282895 -0.05416995 0.01628959 -0.1256564 -0.05416995 0.0178098 -0.1271767 -0.05416995 0.01725333 -0.1292534 -0.05416995 0.01517665 -0.1298097 -0.05649989 0.009719491 -0.06984859 -0.05649989 0.01240181 -0.06849998 -0.05649989 0.01499992 -0.06999999 -0.05349993 0.01499992 -0.06999999 -0.05649989 0.02079159 -0.06856662 -0.05649989 0.01759803 -0.06849998 -0.05349993 0.01759803 -0.06849998 -0.05649989 0.01156049 -0.07191634 -0.05649989 0.01813697 -0.07211458 -0.05649989 0.009002566 -0.06716758 -0.05649989 0.01240181 -0.06549996 -0.05349993 0.01240181 -0.06849998 -0.05649989 0.009568989 -0.06444996 -0.05649989 0.01499992 -0.06400001 -0.05349993 0.01240181 -0.06549996 -0.05649989 0.02028787 -0.06416529 -0.05649989 0.01759803 -0.06549996 -0.05349993 0.01499992 -0.06400001 -0.05649989 0.01129651 -0.06227934 -0.05349993 0.01759803 -0.06549996 -0.05649989 0.0119735 -0.07230299 -0.05049991 0.01156049 -0.07191634 -0.05049991 0.00971955 -0.06984871 -0.05649989 0.01728069 -0.07320183 -0.05649989 0.0122618 -0.07278972 -0.05049991 0.0119735 -0.07230299 -0.05649989 0.02115213 -0.08380049 -0.05649989 0.0172922 -0.08493405 -0.05049991 0.0122618 -0.07278972 -0.05649989 0.01733487 -0.07458478 -0.05049991 0.0172922 -0.08493405 -0.05049991 0.0167573 -0.08720773 -0.05049991 0.01443159 -0.08742403 -0.05049991 -0.007583737 -0.08452779 -0.05049991 0.003715813 -0.08374351 -0.05049991 -0.01768934 -0.0896542 -0.05049991 -0.01889425 -0.09008556 -0.05049991 -0.02011501 -0.0896973 -0.05649989 -0.02079784 -0.08736932 -0.05049991 -0.02085 -0.08864802 -0.05649989 -0.02113276 -0.07708001 -0.05649989 -0.001730263 -0.03769654 -0.05049991 -0.02079784 -0.08736932 -0.05649989 -0.02244824 -0.07828545 -0.05649989 -0.02420383 -0.07796007 -0.05649989 -0.00487107 -0.03471672 -0.05649989 8.44534e-5 -0.0364139 -0.05049991 -0.001730263 -0.03769654 -0.05649989 0.005101859 -0.03481346 -0.05649989 0.001963794 -0.0375998 -0.05049991 8.44534e-5 -0.0364139 -0.05649989 0.01689803 -0.06130802 -0.05649989 0.0118891 -0.05989223 -0.05049991 0.001963794 -0.0375998 -0.05649989 0.01200282 -0.06118762 -0.05049991 0.0118891 -0.05989223 -0.05049991 0.01200282 -0.06118762 -0.05049991 0.01129651 -0.06227934 -0.05049991 0.009568929 -0.06445014 -0.05049991 0.009002566 -0.06716781 -0.05649989 0.005251765 -0.03291088 -0.05049991 0.005101859 -0.03481346 -0.05049991 0.01689803 -0.06130802 -0.05049991 0.005251765 -0.03291088 -0.05649989 -0.005090177 -0.03286731 -0.05049991 0.006928861 -0.032 -0.05049991 0.023 -0.032 -0.05049991 0.02441418 -0.03258574 -0.05049991 0.02499997 -0.03399991 -0.05049991 0.02499997 -0.08303511 -0.05049991 0.02421778 -0.08462136 -0.05049991 0.02248185 -0.08496665 -0.05049991 0.02115213 -0.08380049 -0.05049991 0.01733487 -0.07458478 -0.05049991 0.01728069 -0.07320183 -0.05049991 0.01813697 -0.07211458 -0.05049991 0.02028805 -0.06416565 -0.05049991 0.02079153 -0.06856691 -0.05049991 -0.023 -0.032 -0.05049991 -0.02441418 -0.03258574 -0.05049991 -0.006738126 -0.032 -0.05049991 -0.005090177 -0.03286731 -0.05049991 -0.00487107 -0.03471672 -0.05049991 -0.02113276 -0.07708001 -0.05049991 -0.02244824 -0.07828545 -0.05049991 -0.02420383 -0.07796007 -0.05049991 -0.02499997 -0.07636332 -0.05049991 -0.02499997 -0.03399991 -0.05199992 -0.01146221 -0.127775 -0.05199992 0.01146221 -0.127775 -0.05199992 0 -0.1315 -0.05199992 -0.01854491 -0.1180273 -0.05199992 -0.01854491 -0.1059726 -0.05199992 -0.01146221 -0.09622496 -0.05199992 0.01146221 -0.09622496 -0.05199992 0 -0.09249997 -0.05199992 0.01854491 -0.1059726 -0.05199992 0.01854491 -0.1180273 -0.03299999 0.01999998 -0.02699995 -0.0461499 0.01999998 -0.02699995 -0.0464999 -0.0246821 -0.1262485 -0.0464999 -0.01424854 -0.136682 -0.0464999 0 -0.137 -0.0464999 -0.01249873 -0.133651 -0.0464999 0.02165091 -0.1244988 -0.0464999 0.01249873 -0.133651 -0.0464999 0.02499997 -0.112 -0.0464999 0.02165091 -0.09950113 -0.0464999 0.01249873 -0.09034895 -0.0464999 0 -0.08699995 -0.03299999 -0.01999998 -0.03599995 -0.04815 0.01799988 -0.03599995 -0.04756414 0.01941418 -0.03599995 -0.04815 -0.01799988 -0.03599995 -0.04756414 -0.01941418 -0.03599995 -0.0461499 -0.01999998 -0.03599995 -0.03299999 0.01999998 -0.03599995 -0.0461499 0.01999998 -0.03599995 -0.04099988 -0.01499992 -0.03599995 -0.04182451 -0.01642835 -0.03599995 -0.04182451 -0.01357156 -0.03599995 -0.04347532 -0.01357156 -0.03599995 -0.04099988 -0.004999995 -0.03599995 -0.04182451 -0.003571629 -0.03599995 -0.04347532 -0.003571629 -0.03599995 -0.04099988 0.004999995 -0.03599995 -0.04182451 0.006428301 -0.03599995 -0.04347532 0.006428301 -0.03599995 -0.04182451 0.01357156 -0.03599995 -0.04182451 0.01642835 -0.03599995 -0.04099988 0.01499992 -0.03599995 -0.04347532 0.01642835 -0.03599995 -0.04099988 0.01499992 -0.04299998 -0.04182451 -0.01642835 -0.04299998 -0.04099988 -0.01499992 -0.04299998 -0.04182451 -0.01357156 -0.04299998 -0.04347532 -0.006428301 -0.04299998 -0.04182451 -0.006428301 -0.04299998 -0.04099988 -0.004999995 -0.04299998 -0.04347532 0.003571629 -0.04299998 -0.04182451 0.003571629 -0.04299998 -0.04099988 0.004999995 -0.04299998 -0.04182451 0.01357156 -0.04299998 -0.04347532 -0.01642835 -0.03599995 -0.04429996 -0.01499992 -0.03599995 -0.04182451 -0.003571629 -0.04299998 -0.04182451 -0.006428301 -0.03599995 -0.04347532 -0.006428301 -0.03599995 -0.04429996 -0.004999995 -0.03599995 -0.04347532 0.01357156 -0.04299998 -0.04182451 0.003571629 -0.03599995 -0.04347532 0.003571629 -0.03599995 -0.04429996 0.004999995 -0.03599995 -0.04347532 0.01357156 -0.03599995 -0.04429996 0.01499992 -0.03599995 -0.04149997 -0.0114628 -0.1277748 -0.04149997 -0.001861989 -0.1331756 -0.04149997 0 -0.1321 -0.04149997 0 -0.1315 -0.04149997 0.001861989 -0.1331756 -0.04149997 -0.001861989 -0.1353242 -0.04149997 0 -0.13675 -0.04149997 0 -0.1364 -0.04149997 -0.01237392 -0.1334344 -0.04149997 0.01237392 -0.1334344 -0.04149997 0.001861989 -0.1353242 -0.04149997 0.0114628 -0.1277748 -0.04149997 -0.01854544 -0.118025 -0.04149997 -0.01629 -0.1256568 -0.04149997 -0.01421278 -0.1262128 -0.04149997 -0.01365679 -0.1282901 -0.04149997 -0.01780945 -0.1271761 -0.04149997 -0.01750093 -0.1295007 -0.04149997 -0.01725333 -0.1292534 -0.04149997 -0.02009993 -0.112 -0.04149997 -0.01517605 -0.1298094 -0.04149997 -0.0214346 -0.09962642 -0.04149997 -0.02117562 -0.1101379 -0.04149997 -0.02117562 -0.113862 -0.04149997 -0.02332431 -0.1101379 -0.04149997 -0.02474999 -0.112 -0.04149997 -0.02439999 -0.112 -0.04149997 -0.0214346 -0.1243736 -0.04149997 -0.02332431 -0.113862 -0.04149997 -0.0114628 -0.09622508 -0.04149997 -0.01365679 -0.09570986 -0.04149997 -0.01421278 -0.09778714 -0.04149997 -0.01854544 -0.1059749 -0.04149997 -0.01629 -0.09834319 -0.04149997 -0.01237392 -0.09056556 -0.04149997 -0.01517605 -0.09419053 -0.04149997 -0.01750093 -0.09449923 -0.04149997 -0.01725333 -0.09474658 -0.04149997 -0.01780945 -0.09682387 -0.04149997 0.0114628 -0.09622508 -0.04149997 0.001861989 -0.0908243 -0.04149997 0 -0.09189999 -0.04149997 0 -0.09249997 -0.04149997 -0.001861989 -0.0908243 -0.04149997 0.001861989 -0.08867567 -0.04149997 0 -0.08724999 -0.04149997 0 -0.08759999 -0.04149997 0.01237392 -0.09056556 -0.04149997 -0.001861989 -0.08867567 -0.04149997 0.01854544 -0.1059749 -0.04149997 0.01629 -0.09834319 -0.04149997 0.01421278 -0.09778714 -0.04149997 0.01365679 -0.09570986 -0.04149997 0.01780945 -0.09682387 -0.04149997 0.01750093 -0.09449923 -0.04149997 0.01725333 -0.09474658 -0.04149997 0.02009993 -0.112 -0.04149997 0.01517605 -0.09419053 -0.04149997 0.0214346 -0.1243736 -0.04149997 0.02117562 -0.113862 -0.04149997 0.02117562 -0.1101379 -0.04149997 0.02332431 -0.113862 -0.04149997 0.02474999 -0.112 -0.04149997 0.02439999 -0.112 -0.04149997 0.0214346 -0.09962642 -0.04149997 0.02332431 -0.1101379 -0.04149997 0.01365679 -0.1282901 -0.04149997 0.01421278 -0.1262128 -0.04149997 0.01854544 -0.118025 -0.04149997 0.01629 -0.1256568 -0.04149997 0.01517605 -0.1298094 -0.04149997 0.01750093 -0.1295007 -0.04149997 0.01725333 -0.1292534 -0.04149997 0.01780945 -0.1271761 -0.04174995 -0.02499997 -0.112 -0.04174995 -0.02165073 -0.1244997 -0.04174995 -0.02165073 -0.09950023 -0.04174995 -0.01250004 -0.09034943 -0.04174995 0 -0.08699995 -0.04174995 0.01250004 -0.09034943 -0.04174995 0.02165073 -0.09950023 -0.04174995 0.02499997 -0.112 -0.04174995 0.02165073 -0.1244997 -0.04174995 0.01250004 -0.1336506 -0.04174995 0 -0.137 -0.04174995 -0.01250004 -0.1336506 -0.0464999 -0.01249873 -0.09034895 -0.0464999 -0.02165091 -0.09950113 -0.0464999 -0.02499997 -0.112 -0.0464999 -0.02165091 -0.1244988 0.04949992 -0.02849996 -0.03899997 0.04949992 -0.0246815 -0.09775024 0.04949992 -0.02849996 -0.112 0.0464999 -0.02849996 -0.112 0.05649989 -0.02849996 -0.02699995 0.05649989 -0.02849996 -0.112 0.0464999 -0.0246821 -0.1262485 0.04949992 -0.01425194 -0.08731967 0.0464999 -0.0246821 -0.09775131 0.04949992 -0.0174992 -0.07133024 0.04949992 0 -0.08349996 0.0464999 -0.01424854 -0.08731782 0.04949992 -0.01933026 -0.06949925 0.04949992 -0.01499992 -0.07199996 0.04949992 0.01425194 -0.08731967 0.0464999 0 -0.08349996 0.04949992 -0.02449995 -0.04299998 0.04949992 0.0246815 -0.09775024 0.0464999 0.0246821 -0.09775131 0.04949992 -0.0125007 -0.06266969 0.04949992 -0.0125007 -0.07133024 0.04949992 -0.01066964 -0.06450068 0.04949992 -0.00999999 -0.06699997 0.04949992 -0.01066964 -0.06949925 0.0464999 0.01424854 -0.08731782 0.04949992 0.02449995 -0.04299998 0.04949992 0.02849996 -0.112 0.04949992 0.02732825 -0.04182821 0.04949992 0.02849996 -0.03899997 0.05649989 0.02849996 -0.112 0.05649989 0.02468258 -0.1262482 0.04949992 0.02468228 -0.126249 0.0464999 0.02849996 -0.112 0.03299999 0.02849996 -0.03899997 0.05649989 0.02849996 -0.02699995 0.03299999 0.02849996 -0.02699995 0.03299999 0.02732825 -0.04182821 0.04429996 0.01499992 -0.04299998 0.03299999 0.02449995 -0.04299998 0.04347532 0.01642835 -0.04299998 0.04949992 -0.01499992 -0.06199991 0.04949992 -0.02732825 -0.04182821 0.03299999 -0.02449995 -0.04299998 0.04182451 -0.01642835 -0.04299998 0.04347532 0.01357156 -0.04299998 0.04429996 0.004999995 -0.04299998 0.04347532 0.003571629 -0.04299998 0.04429996 -0.004999995 -0.04299998 0.04347532 -0.006428301 -0.04299998 0.04182451 -0.006428301 -0.04299998 0.04429996 -0.01499992 -0.04299998 0.04347532 -0.01642835 -0.04299998 0.04949992 -0.01933026 -0.06450068 0.03299999 -0.02732825 -0.04182821 0.04949992 -0.0174992 -0.06266969 0.04949992 -0.01999998 -0.06699997 0.03299999 -0.02849996 -0.03899997 0.05349993 -0.01499992 -0.07199996 0.05349993 -0.012501 -0.07133054 0.05349993 -0.01749897 -0.07133054 0.05349993 -0.0193293 -0.06950056 0.05349993 -0.01999956 -0.06699997 0.05349993 -0.0193293 -0.06449937 0.05349993 -0.01749897 -0.06266939 0.05349993 -0.01499992 -0.06199991 0.05349993 -0.012501 -0.06266939 0.05349993 -0.01067054 -0.06449937 0.05349993 -0.01000028 -0.06699997 0.05349993 -0.01067054 -0.06950056 0.05649989 0.02673 -0.112 0.05649989 -0.023 -0.032 0.04815 -0.01799988 -0.02699995 0.05649989 0.02449053 -0.1081207 0.05649989 0.02499997 -0.07636332 0.05649989 -0.006928861 -0.032 0.05649989 0.006738126 -0.032 0.05649989 0.023 -0.032 0.05649989 0.02441418 -0.03258574 0.05649989 0.02499997 -0.03399991 0.03299999 0.01999998 -0.02699995 0.04815 0.01799988 -0.02699995 0.04756414 0.01941418 -0.02699995 0.0461499 0.01999998 -0.02699995 0.05649989 0.01689171 -0.1234058 0.05649989 0.02449053 -0.1158791 0.05649989 0.01890093 -0.1309009 0.05649989 0.01425117 -0.1366806 0.04949992 0.01425123 -0.136681 0.05649989 0.02006036 -0.1265743 0.05649989 0 -0.1387299 0.05649989 0 -0.1404995 0.05649989 0.00387907 -0.1364905 0.05649989 -0.01425117 -0.1366806 0.04949992 0 -0.1405 0.05649989 -0.01890093 -0.1309009 0.05649989 -0.02468258 -0.1262482 0.0464999 -0.01424854 -0.136682 0.05649989 -0.00387907 -0.1364905 0.05649989 -0.01457434 -0.1320604 0.0464999 0 -0.1405 0.05649989 -0.02673 -0.112 0.05649989 -0.02000939 -0.1158791 0.05649989 -0.01616829 -0.1172516 0.05649989 -0.01689171 -0.1234058 0.05649989 -0.02449053 -0.1158791 0.05649989 -0.02006036 -0.1265743 0.05649989 -0.02499997 -0.03399991 0.05649989 -0.02006036 -0.09742552 0.05649989 -0.01890093 -0.09309899 0.05649989 -0.0167573 -0.08720773 0.05649989 -0.01689171 -0.1005941 0.05649989 -0.02449053 -0.1081207 0.05649989 -0.02248185 -0.08496665 0.05649989 -0.02499997 -0.08303511 0.05649989 -0.02421778 -0.08462136 0.05649989 -0.02441418 -0.03258574 0.03299999 -0.02849996 -0.02699995 0.04756414 -0.01941418 -0.02699995 0.05649989 -0.01140576 -0.09510815 0.05649989 -0.009991347 -0.09824651 0.05649989 0 -0.09499996 0.05199992 0 -0.09499996 0.05649989 0.01140576 -0.09510815 0.05649989 0.009991347 -0.09824651 0.05199992 0.009992718 -0.0982474 0.05649989 0.01457434 -0.09193956 0.05649989 0 -0.09422999 0.05649989 -0.01256519 -0.09943467 0.05649989 -0.01616829 -0.1067484 0.05199992 -0.009992718 -0.0982474 0.05649989 -0.01776999 -0.112 0.05199992 -0.01616734 -0.1067454 0.05649989 -0.02000939 -0.1081207 0.05649989 -0.01256519 -0.1245653 0.05649989 -0.009991347 -0.1257534 0.05199992 -0.01616734 -0.1172546 0.05649989 -0.01140576 -0.1288918 0.05649989 0 -0.129 0.05199992 -0.009992718 -0.1257526 0.05649989 0.01140576 -0.1288918 0.05649989 0.009991347 -0.1257534 0.05199992 0 -0.129 0.05649989 0 -0.12977 0.05649989 0.01256519 -0.1245653 0.05649989 0.01616829 -0.1172516 0.05199992 0.009992718 -0.1257526 0.05649989 0.01776999 -0.112 0.05649989 0.01616829 -0.1067484 0.05199992 0.01616734 -0.1172546 0.05649989 0.02000939 -0.1158791 0.05649989 0.01256519 -0.09943467 0.05199992 0.01616734 -0.1067454 0.05649989 0.02000939 -0.1081207 0.05649989 0.02006036 -0.09742552 0.05649989 0.01689171 -0.1005941 0.05649989 -0.00387907 -0.1320095 0.05416995 0 -0.1321 0.05649989 0.00387907 -0.1320095 0.05416995 0.00186187 -0.133175 0.05416995 -0.00186187 -0.133175 0.05416995 -0.00186187 -0.135325 0.05416995 0 -0.1364 0.05649989 0.01457434 -0.1320604 0.05416995 0.00186187 -0.135325 0.05416995 0.01421278 -0.1262128 0.05416995 0.01628959 -0.1256564 0.05416995 0.01365631 -0.1282895 0.05416995 0.01517665 -0.1298097 0.05416995 0.01725333 -0.1292534 0.05416995 0.0178098 -0.1271767 0.05416995 0.02009993 -0.112 0.05416995 0.0211749 -0.1101379 0.05416995 0.0211749 -0.1138619 0.05416995 0.02332496 -0.1138619 0.05416995 0.02439999 -0.112 0.05416995 0.02332496 -0.1101379 0.05416995 0.01421278 -0.09778714 0.05416995 0.01365631 -0.09571039 0.05416995 0.01628959 -0.09834361 0.05649989 0.02085 -0.08864802 0.05649989 0.01890093 -0.09309899 0.05416995 0.0178098 -0.09682333 0.05649989 0.02011501 -0.0896973 0.05416995 0.01725333 -0.09474658 0.05416995 0.01517665 -0.09419012 0.05649989 0.00387907 -0.09199053 0.05649989 0.01889425 -0.09008556 0.05416995 0 -0.09189999 0.05649989 -0.00387907 -0.09199053 0.05416995 -0.00186187 -0.09082496 0.05649989 0.01768934 -0.0896542 0.05649989 0.00387907 -0.08750945 0.05416995 0.00186187 -0.09082496 0.05649989 0.007585048 -0.08452785 0.05649989 0 -0.08526998 0.05416995 0.00186187 -0.08867496 0.05649989 -0.01443159 -0.08742403 0.05649989 -0.00387907 -0.08750945 0.05416995 0 -0.08759999 0.05649989 -0.003716409 -0.08374333 0.05649989 -0.01457434 -0.09193956 0.05416995 -0.00186187 -0.08867496 0.05416995 -0.01421278 -0.09778714 0.05416995 -0.01628959 -0.09834361 0.05416995 -0.01365631 -0.09571039 0.05416995 -0.01517665 -0.09419012 0.05416995 -0.01725333 -0.09474658 0.05416995 -0.0178098 -0.09682333 0.05416995 -0.02009993 -0.112 0.05416995 -0.0211749 -0.1138619 0.05416995 -0.0211749 -0.1101379 0.05416995 -0.02332496 -0.1101379 0.05416995 -0.02439999 -0.112 0.05416995 -0.02332496 -0.1138619 0.05416995 -0.01421278 -0.1262128 0.05416995 -0.01365631 -0.1282895 0.05416995 -0.01628959 -0.1256564 0.05416995 -0.0178098 -0.1271767 0.05416995 -0.01725333 -0.1292534 0.05416995 -0.01517665 -0.1298097 0.05649989 -0.009719491 -0.06984859 0.05649989 -0.01240181 -0.06849998 0.05649989 -0.01499992 -0.06999999 0.05349993 -0.01499992 -0.06999999 0.05649989 -0.02079159 -0.06856662 0.05649989 -0.01759803 -0.06849998 0.05349993 -0.01759803 -0.06849998 0.05649989 -0.01156049 -0.07191634 0.05649989 -0.01813697 -0.07211458 0.05649989 -0.009002566 -0.06716758 0.05649989 -0.01240181 -0.06549996 0.05349993 -0.01240181 -0.06849998 0.05649989 -0.009568989 -0.06444996 0.05649989 -0.01499992 -0.06400001 0.05349993 -0.01240181 -0.06549996 0.05649989 -0.02028787 -0.06416529 0.05649989 -0.01759803 -0.06549996 0.05349993 -0.01499992 -0.06400001 0.05649989 -0.01129651 -0.06227934 0.05349993 -0.01759803 -0.06549996 0.05649989 -0.0119735 -0.07230299 0.05049991 -0.01156049 -0.07191634 0.05049991 -0.00971955 -0.06984871 0.05649989 -0.01728069 -0.07320183 0.05649989 -0.0122618 -0.07278972 0.05049991 -0.0119735 -0.07230299 0.05649989 -0.02115213 -0.08380049 0.05649989 -0.0172922 -0.08493405 0.05049991 -0.0122618 -0.07278972 0.05649989 -0.01733487 -0.07458478 0.05049991 -0.0172922 -0.08493405 0.05049991 -0.0167573 -0.08720773 0.05049991 -0.01443159 -0.08742403 0.05049991 0.007583737 -0.08452779 0.05049991 -0.003715813 -0.08374351 0.05049991 0.01768934 -0.0896542 0.05049991 0.01889425 -0.09008556 0.05049991 0.02011501 -0.0896973 0.05649989 0.02079784 -0.08736932 0.05049991 0.02085 -0.08864802 0.05649989 0.02113276 -0.07708001 0.05649989 0.001730263 -0.03769654 0.05049991 0.02079784 -0.08736932 0.05649989 0.02244824 -0.07828545 0.05649989 0.02420383 -0.07796007 0.05649989 0.00487107 -0.03471672 0.05649989 -8.44534e-5 -0.0364139 0.05049991 0.001730263 -0.03769654 0.05649989 -0.005101859 -0.03481346 0.05649989 -0.001963794 -0.0375998 0.05049991 -8.44534e-5 -0.0364139 0.05649989 -0.01689803 -0.06130802 0.05649989 -0.0118891 -0.05989223 0.05049991 -0.001963794 -0.0375998 0.05649989 -0.01200282 -0.06118762 0.05049991 -0.0118891 -0.05989223 0.05049991 -0.01200282 -0.06118762 0.05049991 -0.01129651 -0.06227934 0.05049991 -0.009568929 -0.06445014 0.05049991 -0.009002566 -0.06716781 0.05649989 -0.005251765 -0.03291088 0.05049991 -0.005101859 -0.03481346 0.05049991 -0.01689803 -0.06130802 0.05049991 -0.005251765 -0.03291088 0.05649989 0.005090177 -0.03286731 0.05049991 -0.006928861 -0.032 0.05049991 -0.023 -0.032 0.05049991 -0.02441418 -0.03258574 0.05049991 -0.02499997 -0.03399991 0.05049991 -0.02499997 -0.08303511 0.05049991 -0.02421778 -0.08462136 0.05049991 -0.02248185 -0.08496665 0.05049991 -0.02115213 -0.08380049 0.05049991 -0.01733487 -0.07458478 0.05049991 -0.01728069 -0.07320183 0.05049991 -0.01813697 -0.07211458 0.05049991 -0.02028805 -0.06416565 0.05049991 -0.02079153 -0.06856691 0.05049991 0.023 -0.032 0.05049991 0.02441418 -0.03258574 0.05049991 0.006738126 -0.032 0.05049991 0.005090177 -0.03286731 0.05049991 0.00487107 -0.03471672 0.05049991 0.02113276 -0.07708001 0.05049991 0.02244824 -0.07828545 0.05049991 0.02420383 -0.07796007 0.05049991 0.02499997 -0.07636332 0.05049991 0.02499997 -0.03399991 0.05199992 0.01146221 -0.127775 0.05199992 -0.01146221 -0.127775 0.05199992 0 -0.1315 0.05199992 0.01854491 -0.1180273 0.05199992 0.01854491 -0.1059726 0.05199992 0.01146221 -0.09622496 0.05199992 -0.01146221 -0.09622496 0.05199992 0 -0.09249997 0.05199992 -0.01854491 -0.1059726 0.05199992 -0.01854491 -0.1180273 0.03299999 -0.01999998 -0.02699995 0.0461499 -0.01999998 -0.02699995 0.0464999 0.0246821 -0.1262485 0.0464999 0.01424854 -0.136682 0.0464999 0 -0.137 0.0464999 0.01249873 -0.133651 0.0464999 -0.02165091 -0.1244988 0.0464999 -0.01249873 -0.133651 0.0464999 -0.02499997 -0.112 0.0464999 -0.02165091 -0.09950113 0.0464999 -0.01249873 -0.09034895 0.0464999 0 -0.08699995 0.03299999 0.01999998 -0.03599995 0.04815 -0.01799988 -0.03599995 0.04756414 -0.01941418 -0.03599995 0.04815 0.01799988 -0.03599995 0.04756414 0.01941418 -0.03599995 0.0461499 0.01999998 -0.03599995 0.03299999 -0.01999998 -0.03599995 0.0461499 -0.01999998 -0.03599995 0.04099988 0.01499992 -0.03599995 0.04182451 0.01642835 -0.03599995 0.04182451 0.01357156 -0.03599995 0.04347532 0.01357156 -0.03599995 0.04099988 0.004999995 -0.03599995 0.04182451 0.003571629 -0.03599995 0.04347532 0.003571629 -0.03599995 0.04099988 -0.004999995 -0.03599995 0.04182451 -0.006428301 -0.03599995 0.04347532 -0.006428301 -0.03599995 0.04182451 -0.01357156 -0.03599995 0.04182451 -0.01642835 -0.03599995 0.04099988 -0.01499992 -0.03599995 0.04347532 -0.01642835 -0.03599995 0.04099988 -0.01499992 -0.04299998 0.04182451 0.01642835 -0.04299998 0.04099988 0.01499992 -0.04299998 0.04182451 0.01357156 -0.04299998 0.04347532 0.006428301 -0.04299998 0.04182451 0.006428301 -0.04299998 0.04099988 0.004999995 -0.04299998 0.04347532 -0.003571629 -0.04299998 0.04182451 -0.003571629 -0.04299998 0.04099988 -0.004999995 -0.04299998 0.04182451 -0.01357156 -0.04299998 0.04347532 0.01642835 -0.03599995 0.04429996 0.01499992 -0.03599995 0.04182451 0.003571629 -0.04299998 0.04182451 0.006428301 -0.03599995 0.04347532 0.006428301 -0.03599995 0.04429996 0.004999995 -0.03599995 0.04347532 -0.01357156 -0.04299998 0.04182451 -0.003571629 -0.03599995 0.04347532 -0.003571629 -0.03599995 0.04429996 -0.004999995 -0.03599995 0.04347532 -0.01357156 -0.03599995 0.04429996 -0.01499992 -0.03599995 0.04149997 0.0114628 -0.1277748 0.04149997 0.001861989 -0.1331756 0.04149997 0 -0.1321 0.04149997 0 -0.1315 0.04149997 -0.001861989 -0.1331756 0.04149997 0.001861989 -0.1353242 0.04149997 0 -0.13675 0.04149997 0 -0.1364 0.04149997 0.01237392 -0.1334344 0.04149997 -0.01237392 -0.1334344 0.04149997 -0.001861989 -0.1353242 0.04149997 -0.0114628 -0.1277748 0.04149997 0.01854544 -0.118025 0.04149997 0.01629 -0.1256568 0.04149997 0.01421278 -0.1262128 0.04149997 0.01365679 -0.1282901 0.04149997 0.01780945 -0.1271761 0.04149997 0.01750093 -0.1295007 0.04149997 0.01725333 -0.1292534 0.04149997 0.02009993 -0.112 0.04149997 0.01517605 -0.1298094 0.04149997 0.0214346 -0.09962642 0.04149997 0.02117562 -0.1101379 0.04149997 0.02117562 -0.113862 0.04149997 0.02332431 -0.1101379 0.04149997 0.02474999 -0.112 0.04149997 0.02439999 -0.112 0.04149997 0.0214346 -0.1243736 0.04149997 0.02332431 -0.113862 0.04149997 0.0114628 -0.09622508 0.04149997 0.01365679 -0.09570986 0.04149997 0.01421278 -0.09778714 0.04149997 0.01854544 -0.1059749 0.04149997 0.01629 -0.09834319 0.04149997 0.01237392 -0.09056556 0.04149997 0.01517605 -0.09419053 0.04149997 0.01750093 -0.09449923 0.04149997 0.01725333 -0.09474658 0.04149997 0.01780945 -0.09682387 0.04149997 -0.0114628 -0.09622508 0.04149997 -0.001861989 -0.0908243 0.04149997 0 -0.09189999 0.04149997 0 -0.09249997 0.04149997 0.001861989 -0.0908243 0.04149997 -0.001861989 -0.08867567 0.04149997 0 -0.08724999 0.04149997 0 -0.08759999 0.04149997 -0.01237392 -0.09056556 0.04149997 0.001861989 -0.08867567 0.04149997 -0.01854544 -0.1059749 0.04149997 -0.01629 -0.09834319 0.04149997 -0.01421278 -0.09778714 0.04149997 -0.01365679 -0.09570986 0.04149997 -0.01780945 -0.09682387 0.04149997 -0.01750093 -0.09449923 0.04149997 -0.01725333 -0.09474658 0.04149997 -0.02009993 -0.112 0.04149997 -0.01517605 -0.09419053 0.04149997 -0.0214346 -0.1243736 0.04149997 -0.02117562 -0.113862 0.04149997 -0.02117562 -0.1101379 0.04149997 -0.02332431 -0.113862 0.04149997 -0.02474999 -0.112 0.04149997 -0.02439999 -0.112 0.04149997 -0.0214346 -0.09962642 0.04149997 -0.02332431 -0.1101379 0.04149997 -0.01365679 -0.1282901 0.04149997 -0.01421278 -0.1262128 0.04149997 -0.01854544 -0.118025 0.04149997 -0.01629 -0.1256568 0.04149997 -0.01517605 -0.1298094 0.04149997 -0.01750093 -0.1295007 0.04149997 -0.01725333 -0.1292534 0.04149997 -0.01780945 -0.1271761 0.04174995 0.02499997 -0.112 0.04174995 0.02165073 -0.1244997 0.04174995 0.02165073 -0.09950023 0.04174995 0.01250004 -0.09034943 0.04174995 0 -0.08699995 0.04174995 -0.01250004 -0.09034943 0.04174995 -0.02165073 -0.09950023 0.04174995 -0.02499997 -0.112 0.04174995 -0.02165073 -0.1244997 0.04174995 -0.01250004 -0.1336506 0.04174995 0 -0.137 0.04174995 0.01250004 -0.1336506 0.0464999 0.01249873 -0.09034895 0.0464999 0.02165091 -0.09950113 0.0464999 0.02499997 -0.112 0.0464999 0.02165091 -0.1244988 0.03149998 0.007438242 -0.0223447 0.03149998 0.008500039 -0.01999998 0.03149998 0.0115 -0.023 0.02849996 0.0115 -0.023 0.03149998 0.0115 -0.02468997 0.03149998 0.0144999 -0.01999998 0.02849996 0.0144999 -0.01999998 0.03149998 0.0115 -0.01530992 0.03149998 0.0115 -0.0169999 0.02849996 0.008500039 -0.01999998 0.03149998 0.007438242 -0.01765519 0.03149998 0.01556164 -0.01765519 0.02849996 0.0115 -0.0169999 0.03149998 0.01556164 -0.0223447 0.0315907 0.0115 -0.02490913 0.03180992 0.007169783 -0.02249991 0.03180992 0.01583003 -0.02249991 0.03180992 0.0115 -0.02499997 0.03180992 0.01583003 -0.01749998 0.0315907 0.0115 -0.01509076 0.03180992 0.007169783 -0.01749998 0.03180992 0.0115 -0.01499992 0.02849996 0.0115 -0.01749998 0.02849996 0.008999943 -0.01999998 0.02849996 0.01399993 -0.01999998 0.02849996 0.0115 -0.02249991 0.01549988 0.0115 -0.02249991 0.01549988 0.01399993 -0.01999998 0.01549988 0.008999943 -0.01999998 0.01549988 0.0115 -0.01749998 0.03749996 0.01005661 -0.02249991 0.03749996 0.007689476 -0.02219992 0.03749996 0.0115 -0.02439999 0.03689998 0.0115 -0.02499997 0.03749996 0.01294326 -0.02249991 0.03749996 0.0153104 -0.02219992 0.03689998 0.01583003 -0.02249991 0.03749996 0.008613228 -0.01999998 0.03749996 0.007689476 -0.01779997 0.03689998 0.007169783 -0.02249991 0.03749996 0.01005661 -0.01749998 0.03749996 0.0115 -0.0155999 0.03689998 0.007169783 -0.01749998 0.03749996 0.01294326 -0.01749998 0.03749996 0.0153104 -0.01779997 0.03689998 0.0115 -0.01499992 0.03749996 0.01438671 -0.01999998 0.03689998 0.01583003 -0.01749998 0.0345 0.01294326 -0.02249991 0.0345 0.01005661 -0.02249991 0.0345 0.01438671 -0.01999998 0.0345 0.01294326 -0.01749998 0.0345 0.01005661 -0.01749998 0.0345 0.008613228 -0.01999998 0.03149998 -0.01556164 -0.0223447 0.03149998 -0.0144999 -0.01999998 0.03149998 -0.0115 -0.023 0.02849996 -0.0115 -0.023 0.03149998 -0.0115 -0.02468997 0.03149998 -0.008500039 -0.01999998 0.02849996 -0.008500039 -0.01999998 0.03149998 -0.0115 -0.01530992 0.03149998 -0.0115 -0.0169999 0.02849996 -0.0144999 -0.01999998 0.03149998 -0.01556164 -0.01765519 0.03149998 -0.007438242 -0.01765519 0.02849996 -0.0115 -0.0169999 0.03149998 -0.007438242 -0.0223447 0.0315907 -0.0115 -0.02490913 0.03180992 -0.01583003 -0.02249991 0.03180992 -0.007169783 -0.02249991 0.03180992 -0.0115 -0.02499997 0.03180992 -0.007169783 -0.01749998 0.0315907 -0.0115 -0.01509076 0.03180992 -0.01583003 -0.01749998 0.03180992 -0.0115 -0.01499992 0.02849996 -0.0115 -0.01749998 0.02849996 -0.01399993 -0.01999998 0.02849996 -0.008999943 -0.01999998 0.02849996 -0.0115 -0.02249991 0.01549988 -0.0115 -0.02249991 0.01549988 -0.008999943 -0.01999998 0.01549988 -0.01399993 -0.01999998 0.01549988 -0.0115 -0.01749998 0.03749996 -0.01294326 -0.02249991 0.03749996 -0.0153104 -0.02219992 0.03749996 -0.0115 -0.02439999 0.03689998 -0.0115 -0.02499997 0.03749996 -0.01005661 -0.02249991 0.03749996 -0.007689476 -0.02219992 0.03689998 -0.007169783 -0.02249991 0.03749996 -0.01438671 -0.01999998 0.03749996 -0.0153104 -0.01779997 0.03689998 -0.01583003 -0.02249991 0.03749996 -0.01294326 -0.01749998 0.03749996 -0.0115 -0.0155999 0.03689998 -0.01583003 -0.01749998 0.03749996 -0.01005661 -0.01749998 0.03749996 -0.007689476 -0.01779997 0.03689998 -0.0115 -0.01499992 0.03749996 -0.008613228 -0.01999998 0.03689998 -0.007169783 -0.01749998 0.0345 -0.01005661 -0.02249991 0.0345 -0.01294326 -0.02249991 0.0345 -0.008613228 -0.01999998 0.0345 -0.01005661 -0.01749998 0.0345 -0.01294326 -0.01749998 0.0345 -0.01438671 -0.01999998 -0.03149998 0.01556164 0.01765519 -0.03149998 0.0144999 0.01999998 -0.03149998 0.0115 0.0169999 -0.02849996 0.0115 0.0169999 -0.03149998 0.0115 0.01530992 -0.03149998 0.008500039 0.01999998 -0.02849996 0.008500039 0.01999998 -0.03149998 0.0115 0.02468997 -0.03149998 0.0115 0.023 -0.02849996 0.0144999 0.01999998 -0.03149998 0.01556164 0.0223447 -0.03149998 0.007438242 0.0223447 -0.02849996 0.0115 0.023 -0.03149998 0.007438242 0.01765519 -0.0315907 0.0115 0.01509076 -0.03180992 0.01583003 0.01749998 -0.03180992 0.007169783 0.01749998 -0.03180992 0.0115 0.01499992 -0.03180992 0.007169783 0.02249991 -0.0315907 0.0115 0.02490913 -0.03180992 0.01583003 0.02249991 -0.03180992 0.0115 0.02499997 -0.02849996 0.0115 0.02249991 -0.02849996 0.01399993 0.01999998 -0.02849996 0.008999943 0.01999998 -0.02849996 0.0115 0.01749998 -0.01549988 0.0115 0.01749998 -0.01549988 0.008999943 0.01999998 -0.01549988 0.01399993 0.01999998 -0.01549988 0.0115 0.02249991 -0.03749996 0.01294326 0.01749998 -0.03749996 0.0153104 0.01779997 -0.03749996 0.0115 0.0155999 -0.03689998 0.0115 0.01499992 -0.03749996 0.01005661 0.01749998 -0.03749996 0.007689476 0.01779997 -0.03689998 0.007169783 0.01749998 -0.03749996 0.01438671 0.01999998 -0.03749996 0.0153104 0.02219992 -0.03689998 0.01583003 0.01749998 -0.03749996 0.01294326 0.02249991 -0.03749996 0.0115 0.02439999 -0.03689998 0.01583003 0.02249991 -0.03749996 0.01005661 0.02249991 -0.03749996 0.007689476 0.02219992 -0.03689998 0.0115 0.02499997 -0.03749996 0.008613228 0.01999998 -0.03689998 0.007169783 0.02249991 -0.0345 0.01005661 0.01749998 -0.0345 0.01294326 0.01749998 -0.0345 0.008613228 0.01999998 -0.0345 0.01005661 0.02249991 -0.0345 0.01294326 0.02249991 -0.0345 0.01438671 0.01999998 -0.03149998 0.01556164 -0.0223447 -0.03149998 0.0144999 -0.01999998 -0.03149998 0.0115 -0.023 -0.02849996 0.0115 -0.023 -0.03149998 0.0115 -0.02468997 -0.03149998 0.008500039 -0.01999998 -0.02849996 0.008500039 -0.01999998 -0.03149998 0.0115 -0.01530992 -0.03149998 0.0115 -0.0169999 -0.02849996 0.0144999 -0.01999998 -0.03149998 0.01556164 -0.01765519 -0.03149998 0.007438242 -0.01765519 -0.02849996 0.0115 -0.0169999 -0.03149998 0.007438242 -0.0223447 -0.0315907 0.0115 -0.02490913 -0.03180992 0.01583003 -0.02249991 -0.03180992 0.007169783 -0.02249991 -0.03180992 0.0115 -0.02499997 -0.03180992 0.007169783 -0.01749998 -0.0315907 0.0115 -0.01509076 -0.03180992 0.01583003 -0.01749998 -0.03180992 0.0115 -0.01499992 -0.02849996 0.0115 -0.01749998 -0.02849996 0.01399993 -0.01999998 -0.02849996 0.008999943 -0.01999998 -0.02849996 0.0115 -0.02249991 -0.01549988 0.0115 -0.02249991 -0.01549988 0.008999943 -0.01999998 -0.01549988 0.01399993 -0.01999998 -0.01549988 0.0115 -0.01749998 -0.03749996 0.01294326 -0.02249991 -0.03749996 0.0153104 -0.02219992 -0.03749996 0.0115 -0.02439999 -0.03689998 0.0115 -0.02499997 -0.03749996 0.01005661 -0.02249991 -0.03749996 0.007689476 -0.02219992 -0.03689998 0.007169783 -0.02249991 -0.03749996 0.01438671 -0.01999998 -0.03749996 0.0153104 -0.01779997 -0.03689998 0.01583003 -0.02249991 -0.03749996 0.01294326 -0.01749998 -0.03749996 0.0115 -0.0155999 -0.03689998 0.01583003 -0.01749998 -0.03749996 0.01005661 -0.01749998 -0.03749996 0.007689476 -0.01779997 -0.03689998 0.0115 -0.01499992 -0.03749996 0.008613228 -0.01999998 -0.03689998 0.007169783 -0.01749998 -0.0345 0.01005661 -0.02249991 -0.0345 0.01294326 -0.02249991 -0.0345 0.008613228 -0.01999998 -0.0345 0.01005661 -0.01749998 -0.0345 0.01294326 -0.01749998 -0.0345 0.01438671 -0.01999998 -0.03149998 -0.007438242 0.01765519 -0.03149998 -0.008500039 0.01999998 -0.03149998 -0.0115 0.0169999 -0.02849996 -0.0115 0.0169999 -0.03149998 -0.0115 0.01530992 -0.03149998 -0.0144999 0.01999998 -0.02849996 -0.0144999 0.01999998 -0.03149998 -0.0115 0.02468997 -0.03149998 -0.0115 0.023 -0.02849996 -0.008500039 0.01999998 -0.03149998 -0.007438242 0.0223447 -0.03149998 -0.01556164 0.0223447 -0.02849996 -0.0115 0.023 -0.03149998 -0.01556164 0.01765519 -0.0315907 -0.0115 0.01509076 -0.03180992 -0.007169783 0.01749998 -0.03180992 -0.01583003 0.01749998 -0.03180992 -0.0115 0.01499992 -0.03180992 -0.01583003 0.02249991 -0.0315907 -0.0115 0.02490913 -0.03180992 -0.007169783 0.02249991 -0.03180992 -0.0115 0.02499997 -0.02849996 -0.0115 0.02249991 -0.02849996 -0.008999943 0.01999998 -0.02849996 -0.01399993 0.01999998 -0.02849996 -0.0115 0.01749998 -0.01549988 -0.0115 0.01749998 -0.01549988 -0.01399993 0.01999998 -0.01549988 -0.008999943 0.01999998 -0.01549988 -0.0115 0.02249991 -0.03749996 -0.01005661 0.01749998 -0.03749996 -0.007689476 0.01779997 -0.03749996 -0.0115 0.0155999 -0.03689998 -0.0115 0.01499992 -0.03749996 -0.01294326 0.01749998 -0.03749996 -0.0153104 0.01779997 -0.03689998 -0.01583003 0.01749998 -0.03749996 -0.008613228 0.01999998 -0.03749996 -0.007689476 0.02219992 -0.03689998 -0.007169783 0.01749998 -0.03749996 -0.01005661 0.02249991 -0.03749996 -0.0115 0.02439999 -0.03689998 -0.007169783 0.02249991 -0.03749996 -0.01294326 0.02249991 -0.03749996 -0.0153104 0.02219992 -0.03689998 -0.0115 0.02499997 -0.03749996 -0.01438671 0.01999998 -0.03689998 -0.01583003 0.02249991 -0.0345 -0.01294326 0.01749998 -0.0345 -0.01005661 0.01749998 -0.0345 -0.01438671 0.01999998 -0.0345 -0.01294326 0.02249991 -0.0345 -0.01005661 0.02249991 -0.0345 -0.008613228 0.01999998 -0.03149998 -0.007438242 -0.0223447 -0.03149998 -0.008500039 -0.01999998 -0.03149998 -0.0115 -0.023 -0.02849996 -0.0115 -0.023 -0.03149998 -0.0115 -0.02468997 -0.03149998 -0.0144999 -0.01999998 -0.02849996 -0.0144999 -0.01999998 -0.03149998 -0.0115 -0.01530992 -0.03149998 -0.0115 -0.0169999 -0.02849996 -0.008500039 -0.01999998 -0.03149998 -0.007438242 -0.01765519 -0.03149998 -0.01556164 -0.01765519 -0.02849996 -0.0115 -0.0169999 -0.03149998 -0.01556164 -0.0223447 -0.0315907 -0.0115 -0.02490913 -0.03180992 -0.007169783 -0.02249991 -0.03180992 -0.01583003 -0.02249991 -0.03180992 -0.0115 -0.02499997 -0.03180992 -0.01583003 -0.01749998 -0.0315907 -0.0115 -0.01509076 -0.03180992 -0.007169783 -0.01749998 -0.03180992 -0.0115 -0.01499992 -0.02849996 -0.0115 -0.01749998 -0.02849996 -0.008999943 -0.01999998 -0.02849996 -0.01399993 -0.01999998 -0.02849996 -0.0115 -0.02249991 -0.01549988 -0.0115 -0.02249991 -0.01549988 -0.01399993 -0.01999998 -0.01549988 -0.008999943 -0.01999998 -0.01549988 -0.0115 -0.01749998 -0.03749996 -0.01005661 -0.02249991 -0.03749996 -0.007689476 -0.02219992 -0.03749996 -0.0115 -0.02439999 -0.03689998 -0.0115 -0.02499997 -0.03749996 -0.01294326 -0.02249991 -0.03749996 -0.0153104 -0.02219992 -0.03689998 -0.01583003 -0.02249991 -0.03749996 -0.008613228 -0.01999998 -0.03749996 -0.007689476 -0.01779997 -0.03689998 -0.007169783 -0.02249991 -0.03749996 -0.01005661 -0.01749998 -0.03749996 -0.0115 -0.0155999 -0.03689998 -0.007169783 -0.01749998 -0.03749996 -0.01294326 -0.01749998 -0.03749996 -0.0153104 -0.01779997 -0.03689998 -0.0115 -0.01499992 -0.03749996 -0.01438671 -0.01999998 -0.03689998 -0.01583003 -0.01749998 -0.0345 -0.01294326 -0.02249991 -0.0345 -0.01005661 -0.02249991 -0.0345 -0.01438671 -0.01999998 -0.0345 -0.01294326 -0.01749998 -0.0345 -0.01005661 -0.01749998 -0.0345 -0.008613228 -0.01999998 0.03149998 0.007438242 0.01765519 0.03149998 0.008500039 0.01999998 0.03149998 0.0115 0.0169999 0.02849996 0.0115 0.0169999 0.03149998 0.0115 0.01530992 0.03149998 0.0144999 0.01999998 0.02849996 0.0144999 0.01999998 0.03149998 0.0115 0.02468997 0.03149998 0.0115 0.023 0.02849996 0.008500039 0.01999998 0.03149998 0.007438242 0.0223447 0.03149998 0.01556164 0.0223447 0.02849996 0.0115 0.023 0.03149998 0.01556164 0.01765519 0.0315907 0.0115 0.01509076 0.03180992 0.007169783 0.01749998 0.03180992 0.01583003 0.01749998 0.03180992 0.0115 0.01499992 0.03180992 0.01583003 0.02249991 0.0315907 0.0115 0.02490913 0.03180992 0.007169783 0.02249991 0.03180992 0.0115 0.02499997 0.02849996 0.0115 0.02249991 0.02849996 0.008999943 0.01999998 0.02849996 0.01399993 0.01999998 0.02849996 0.0115 0.01749998 0.01549988 0.0115 0.01749998 0.01549988 0.01399993 0.01999998 0.01549988 0.008999943 0.01999998 0.01549988 0.0115 0.02249991 0.03749996 0.01005661 0.01749998 0.03749996 0.007689476 0.01779997 0.03749996 0.0115 0.0155999 0.03689998 0.0115 0.01499992 0.03749996 0.01294326 0.01749998 0.03749996 0.0153104 0.01779997 0.03689998 0.01583003 0.01749998 0.03749996 0.008613228 0.01999998 0.03749996 0.007689476 0.02219992 0.03689998 0.007169783 0.01749998 0.03749996 0.01005661 0.02249991 0.03749996 0.0115 0.02439999 0.03689998 0.007169783 0.02249991 0.03749996 0.01294326 0.02249991 0.03749996 0.0153104 0.02219992 0.03689998 0.0115 0.02499997 0.03749996 0.01438671 0.01999998 0.03689998 0.01583003 0.02249991 0.0345 0.01294326 0.01749998 0.0345 0.01005661 0.01749998 0.0345 0.01438671 0.01999998 0.0345 0.01294326 0.02249991 0.0345 0.01005661 0.02249991 0.0345 0.008613228 0.01999998 0.03149998 -0.01556164 0.01765519 0.03149998 -0.0144999 0.01999998 0.03149998 -0.0115 0.0169999 0.02849996 -0.0115 0.0169999 0.03149998 -0.0115 0.01530992 0.03149998 -0.008500039 0.01999998 0.02849996 -0.008500039 0.01999998 0.03149998 -0.0115 0.02468997 0.03149998 -0.0115 0.023 0.02849996 -0.0144999 0.01999998 0.03149998 -0.01556164 0.0223447 0.03149998 -0.007438242 0.0223447 0.02849996 -0.0115 0.023 0.03149998 -0.007438242 0.01765519 0.0315907 -0.0115 0.01509076 0.03180992 -0.01583003 0.01749998 0.03180992 -0.007169783 0.01749998 0.03180992 -0.0115 0.01499992 0.03180992 -0.007169783 0.02249991 0.0315907 -0.0115 0.02490913 0.03180992 -0.01583003 0.02249991 0.03180992 -0.0115 0.02499997 0.02849996 -0.0115 0.02249991 0.02849996 -0.01399993 0.01999998 0.02849996 -0.008999943 0.01999998 0.02849996 -0.0115 0.01749998 0.01549988 -0.0115 0.01749998 0.01549988 -0.008999943 0.01999998 0.01549988 -0.01399993 0.01999998 0.01549988 -0.0115 0.02249991 0.03749996 -0.01294326 0.01749998 0.03749996 -0.0153104 0.01779997 0.03749996 -0.0115 0.0155999 0.03689998 -0.0115 0.01499992 0.03749996 -0.01005661 0.01749998 0.03749996 -0.007689476 0.01779997 0.03689998 -0.007169783 0.01749998 0.03749996 -0.01438671 0.01999998 0.03749996 -0.0153104 0.02219992 0.03689998 -0.01583003 0.01749998 0.03749996 -0.01294326 0.02249991 0.03749996 -0.0115 0.02439999 0.03689998 -0.01583003 0.02249991 0.03749996 -0.01005661 0.02249991 0.03749996 -0.007689476 0.02219992 0.03689998 -0.0115 0.02499997 0.03749996 -0.008613228 0.01999998 0.03689998 -0.007169783 0.02249991 0.0345 -0.01005661 0.01749998 0.0345 -0.01294326 0.01749998 0.0345 -0.008613228 0.01999998 0.0345 -0.01005661 0.02249991 0.0345 -0.01294326 0.02249991 0.0345 -0.01438671 0.01999998</float_array>
+ <technique_common>
+ <accessor source="#elbow_fe-mesh-positions-array" count="5008" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="elbow_fe-mesh-normals">
+ <float_array id="elbow_fe-mesh-normals-array" count="30756">0 1 0 -0.499995 0 -0.8660283 0 1 0 0.4999948 0 -0.8660284 0 1 0 0 1 0 0.4999948 0 -0.8660284 0 1 0 -1 0 0 0 1 0 -0.499995 0 -0.8660283 0 1 0 -0.4999969 0 0.8660271 0 1 0 -1 0 0 0 1 0 0.4999968 0 0.8660273 0 1 0 0 1 0 0 1 0 -0.4999969 0 0.8660271 0 1 0 1 0 0 0.4999968 0 0.8660273 1 0 0 0 1 0 -0.4999948 0 -0.8660284 0.499995 0 -0.8660283 0 1 0 0.499995 0 -0.8660283 0 1 0 -1 0 0 0 1 0 -0.4999948 0 -0.8660284 0 1 0 -0.4999968 0 0.8660273 -1 0 0 0.4999969 0 0.8660271 0 1 0 -0.4999968 0 0.8660273 1 0 0 0.4999969 0 0.8660271 1 0 0 0 1 0 0.4999951 0 0.8660283 0 1 0 -0.4999831 0 0.8660352 0 1 0 0 1 0 -0.4999831 0 0.8660352 0 1 0 1 0 0 0 1 0 0.4999951 0 0.8660283 0 1 0 0.5000152 0 -0.8660166 1 0 0 0 1 0 -0.5000032 0 -0.8660236 0 1 0 0 1 0 0.5000152 0 -0.8660166 0 1 0 -1 0 0 0 1 0 -0.5000032 0 -0.8660236 0 1 0 -1 0 0 0.4999831 0 0.8660352 0 1 0 -0.4999951 0 0.8660283 0 1 0 -0.4999951 0 0.8660283 1 0 0 0.4999831 0 0.8660352 0.5000032 0 -0.8660236 1 0 0 0 1 0 -0.5000152 0 -0.8660166 0 1 0 0 1 0 0.5000032 0 -0.8660236 0 1 0 -1 0 0 -0.5000152 0 -0.8660166 -1 0 0 0 1 0 0.4999824 0 0.8660355 0 1 0 -0.4999945 0 0.8660287 0 1 0 0 1 0 0 1 0 0 1 0 -0.4999945 0 0.8660287 0 1 0 1 0 0 0 1 0 0.4999824 0 0.8660355 0 1 0 0.5000039 0 -0.8660232 0 1 0 1 0 0 -0.5000159 0 -0.8660162 0 1 0 0.5000039 0 -0.8660232 0 1 0 -1 0 0 -0.5000159 0 -0.8660162 -1 0 0 0 1 0 0.4999945 0 0.8660287 -0.4999824 0 0.8660355 0 1 0 0 1 0 -0.4999824 0 0.8660355 0 1 0 1 0 0 0 1 0 0.4999945 0 0.8660287 0 1 0 0.5000159 0 -0.8660162 1 0 0 -0.5000039 0 -0.8660232 0.5000159 0 -0.8660162 -1 0 0 -0.5000039 0 -0.8660232 -1 0 0 -0.3826862 0 -0.9238784 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 -0.9238799 0 -0.3826826 -0.3826862 0 -0.9238784 0 1 0 -1 0 0 -0.9238799 0 -0.3826826 -1 0 0 0 0 -1 0 0 -1 0 0 -1 1 0 0 0 0 -1 0 0 -1 0 0 -1 0.9659261 0 0.258818 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.7070427 0.01385408 0.7070351 0.9108295 -0.006952941 0.4127241 0.9866001 0.08231747 0.1408692 0 1 0 0.2587276 0.02512967 0.9656234 0 1 0 0.5465127 -0.01137351 0.8373736 0.7575577 0.0620687 0.6498107 0 0 1 0.3405024 0.07476717 0.9372663 0.106109 0 0.9943545 -0.2588093 0 0.9659284 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7064694 0.0425769 0.7064618 -0.5465127 -0.01137351 0.8373736 -0.3240722 0.01734358 0.9458734 -0.1172611 0.1120879 0.9867554 -0.9649445 0.04506927 0.258555 -0.9108295 -0.006952941 0.4127241 -0.7589869 0.009497463 0.6510366 0 1 0 -1 0 0 0 1 0 0 1 0 -0.9899598 0 0.1413489 -1 0 0 -1 0 0 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -1 0 0 -1 0 0 0 0 -1 1 0 0 1 0 0 0 0 -1 0 0 -1 0 0 -1 1 0 0 0.9238799 0 -0.3826826 0.3826862 0 -0.9238784 0.9238799 0 -0.3826826 0.3826862 0 -0.9238784 0 -1 0 -0.3779418 -0.6546603 0.6546603 0 -1 0 0.3779349 -0.6546677 0.6546568 0 -1 0 0 -1 0 0.3779493 -0.654658 0.654658 0 -1 0 -0.7559733 -0.6546024 1.62208e-4 0 -1 0 -0.377951 -0.6546749 0.6546403 0 -1 0 -0.3781214 -0.6545542 -0.6546626 0 -1 0 0 -1 0 0 -1 0 -0.7558592 -0.6547343 0 0 -1 0 0.378096 -0.6546158 -0.6546156 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3779782 -0.6546499 -0.6546497 0 -1 0 0.7559777 -0.6545975 1.50892e-4 0 -1 0 0.3780294 -0.6545104 -0.6547594 0.7558715 -0.6547201 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.5000082 0 -0.8660207 0 -1 0 -0.4970088 0.1093671 -0.8608258 0 -1 0 -0.2843906 0 -0.9587085 0 -1 0 1 1.19093e-5 0 0 -1 0 0.5002283 -5.08541e-5 -0.8658936 0.5000081 0 -0.8660207 0 -1 0 0.5000081 -5.07454e-5 0.8660207 1 1.19093e-5 0 0 -1 0 -0.5000082 0 0.8660207 0.5002278 0 0.8658939 0 -1 0 -0.9996121 0.02785068 0 -0.02391755 0.2636798 0.9643137 -0.7493799 -0.01298213 0.6620131 0 -1 0 0 -1 0 -0.9996907 0.02470618 -0.002830564 -0.7459313 -0.01163315 -0.6659214 0 -1 0 0.5000307 0 -0.8660078 0 -1 0 -0.5000306 -4.56631e-5 -0.8660076 -0.5002282 0 -0.8658936 0 -1 0 0.999612 0.02785068 0 0.02398955 0.2636616 -0.9643169 0.7493799 -0.01298213 -0.6620131 0.4970087 0.1093674 0.8608258 0.9996908 0.02470618 0.002830684 0.7459315 -0.01163315 0.665921 -0.5000081 0 0.8660208 0.2843899 0 0.9587087 0 -1 0 -1 1.19093e-5 0 -0.5002058 -4.5655e-5 0.8659066 -0.500008 0 0.8660207 -1 1.19093e-5 0 0 -1 0 -0.3828887 0 0.9237945 0 -1 0 0.3828887 2.3487e-5 0.9237945 0.3826619 0 0.9238884 0 -1 0 -0.9237725 2.34016e-5 0.3829417 -0.3826622 2.3449e-5 0.9238883 0 -1 0 -0.9237709 0 -0.3829455 0 -1 0 0 -1 0 0 -1 0 -0.9238662 0 0.3827158 0 -1 0 -0.3829427 2.33659e-5 -0.9237722 0 -1 0 -0.9238644 2.33636e-5 -0.3827199 0 -1 0 0.3829427 0 -0.9237722 0 -1 0 -0.3827171 0 -0.9238656 0 -1 0 0.9237933 2.34514e-5 -0.3828915 0 -1 0 0.3827168 2.33977e-5 -0.9238657 0 -1 0 0.9237949 0 0.3828877 0 -1 0 0 -1 0 0 -1 0 0.9238871 0 -0.382665 0.9238889 2.34846e-5 0.3826609 -0.3829427 0 0.9237722 0.3829427 2.34876e-5 0.9237722 0.382716 0 0.923866 -0.9237725 2.34016e-5 0.3829417 -0.3827163 2.34496e-5 0.923866 0 -1 0 -0.9237725 0 -0.3829417 0 -1 0 -0.9238662 0 0.3827158 0 -1 0 -0.3828887 2.34514e-5 -0.9237945 -0.9238662 2.33992e-5 -0.3827158 0 -1 0 0.3828887 0 -0.9237945 0 -1 0 -0.3826622 0 -0.9238883 0 -1 0 0.9237949 2.3487e-5 -0.3828877 0.3826619 2.34844e-5 -0.9238884 0.9237949 0 0.3828877 0.9238889 0 -0.3826609 0.9238889 2.34846e-5 0.3826609 -0.3828887 0 0.9237945 0.3828887 2.34514e-5 0.9237945 0.3826622 0 0.9238883 -0.9237949 2.3487e-5 0.3828877 -0.3826619 2.34844e-5 0.9238884 0 -1 0 -0.9237933 0 -0.3828915 0 -1 0 -0.9238889 0 0.3826609 0 -1 0 -0.3829427 2.34016e-5 -0.9237722 0 -1 0 -0.9238871 2.3449e-5 -0.382665 0 -1 0 0.3829427 0 -0.9237722 0 -1 0 -0.3827168 0 -0.9238657 0 -1 0 0.9237709 2.33659e-5 -0.3829455 0 -1 0 0.3827171 2.33635e-5 -0.9238656 0.9237725 0 0.3829417 0.9238644 0 -0.3827199 0.9238662 2.33992e-5 0.3827158 -0.3829427 0 0.9237722 0.3829427 2.34519e-5 0.9237722 0.3827163 0 0.923866 -0.9237949 2.3487e-5 0.3828877 -0.382716 2.34839e-5 0.923866 0 -1 0 -0.9237949 0 -0.3828877 -0.9238889 0 0.3826609 0 -1 0 -0.3828887 2.3487e-5 -0.9237945 0 -1 0 -0.9238889 2.34846e-5 -0.3826609 0 -1 0 0.3828887 0 -0.9237945 -0.3826619 0 -0.9238884 0 -1 0 0.9237725 2.34016e-5 -0.3829417 0.3826622 2.3449e-5 -0.9238883 0.9237725 0 0.3829417 0 -1 0 0 -1 0 0.9238662 0 -0.3827158 0.9238662 2.33992e-5 0.3827158 -0.3780463 -0.6546301 0.6546301 0 -1 0 0.378071 -0.6545809 0.6546649 0.3779603 -0.6546549 0.6546549 -0.7559096 -0.654676 0 -0.3779962 -0.6545509 0.6547381 -0.3780633 -0.6545879 -0.6546623 -0.7559096 -0.654676 0 0 -1 0 0.3780494 -0.6546281 -0.6546302 0 -1 0 0 -1 0 0 -1 0 -0.3779678 -0.6546517 -0.6546537 0 -1 0 0.7559077 -0.6546782 0 0.3780124 -0.6545696 -0.6547101 0 -1 0 0 -1 0 0.7559076 -0.6546783 0 -0.3780502 -0.6546289 0.6546289 0.3780685 -0.6545787 0.6546686 0.3779499 -0.6546579 0.6546579 -0.7559077 -0.6546782 0 -0.3780035 -0.654555 0.6547299 0 -1 0 -0.3780658 -0.6545901 -0.6546587 0 -1 0 0 -1 0 -0.7559077 -0.6546782 0 0.3780454 -0.6546293 -0.6546313 0 -1 0 -0.3779782 -0.6546486 -0.6546508 0.7559096 -0.654676 0 0.3780051 -0.6545655 -0.6547184 0.7559096 -0.654676 0 0.3780946 -0.6546162 -0.654616 -0.3781256 -0.6545475 -0.6546668 -0.3779678 -0.6546529 -0.6546526 0 -1 0 0.7559734 -0.6546024 1.62208e-4 0 -1 0 0.7558592 -0.6547343 0 0.3780341 -0.6545205 -0.6547466 0 -1 0 0.3779376 -0.6546698 0.6546531 0 -1 0 0 -1 0 0 -1 0 -0.3779376 -0.6546614 0.6546614 0 -1 0 0.3779597 -0.6546551 0.6546551 0 -1 0 -0.7559776 -0.6545975 1.50892e-4 -0.3779436 -0.6546711 0.6546483 -0.7558715 -0.6547201 0 0 -1 0 0 -1 0 0 -0.7071068 0.7071068 0 -0.7071077 0.7071059 1.14724e-6 -0.7071051 0.7071086 -1.45285e-7 -0.7071098 0.7071038 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 0 0.923878 0 0.3826872 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.3826876 0 0.9238778 0.923878 0 0.3826872 0 0 1 0 0 1 0.3826876 0 0.9238778 -0.3826884 0 0.9238776 -0.9238771 0 0.3826894 -0.3826884 0 0.9238776 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238771 0 0.3826894 -1 0 0 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 1 0 0 1 0 0 1 0 0 0.9238771 0 0.3826894 0 -1 0 0.3826884 0 0.9238776 0.9238771 0 0.3826894 0 -1 0 0 0 1 0 0 1 0.3826884 0 0.9238776 0 -1 0 -0.3826876 0 0.9238778 0 -1 0 0 -1 0 0 -1 0 -0.923878 0 0.3826872 0 -1 0 0 -1 0 -0.3826876 0 0.9238778 -1 0 0 -0.923878 0 0.3826872 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 0 -1 0 0 -1 0 -1 0 0 -0.9238477 -0.3827604 0 -0.3827608 -0.9238476 0 -0.9238477 -0.3827604 0 0 -1 0 0 -1 0 -0.3827608 -0.9238476 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.499999 0.8660259 -0.02730041 0.4998103 0.8657045 0 0.3831316 0.9236937 -0.02014929 -0.9997969 0 0.001569151 -0.9011918 0.4334177 -0.06958222 -0.28425 0.9562218 -0.003754556 -0.6937685 0.7201883 -0.02707231 -0.4998371 -0.8656963 -0.04882383 -0.986853 0.1540694 0.00685501 -0.8499009 -0.5268982 -0.01289045 -0.9879513 -0.1542268 0 0.5000181 -0.866015 0 -0.3845316 -0.9231118 -0.02014267 0.9997971 0 0.00160557 0.9009011 -0.4340215 -0.003851771 0.6926776 -0.7212371 -0.06988745 0.2832613 -0.956493 0.006942689 0.8490594 0.5282518 -0.01287865 0.987938 0.1543136 -0.04882925 0.9868435 -0.1541284 0 0 1 -0.8659089 -0.5002018 0 0 0 1 -0.8659089 0.5002018 -4.8059e-5 -0.8660253 0.5 0 0 -1 7.45063e-6 -0.8660349 -0.4999834 -5.20285e-5 0.8659089 -0.5002018 -5.20187e-5 0 -1 7.45063e-6 0.8659089 0.5002018 0 0.8660349 -0.4999834 0 0 0 1 0 1 1.53669e-5 0 0 1 0.8660253 0.5 -4.80689e-5 0 1 1.53669e-5 -1 0 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 0 -1 -1 0 0 0 -0.3827608 -0.9238476 0 -0.9238477 -0.3827604 0 -0.3827608 -0.9238476 0 -1 0 0 -1 0 0 -0.9238477 -0.3827604 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -0.4999995 -0.8660256 0.03627455 0.4996681 -0.8654571 0 0.3097366 -0.9508224 0.002784967 -0.9999962 0 0.05713033 -0.3250954 -0.9439539 -0.001206457 -0.7494032 -0.6621129 0.03627127 -0.4996704 0.8654559 0.06939828 -0.9613764 -0.2663443 0.04882228 -0.9868552 -0.1540553 -0.001241683 -0.7509526 0.660355 6.19168e-4 -0.9193686 0.3933966 0.01288878 -0.9879493 0.1542406 0 0.4999971 0.8660272 0 -0.3097499 0.9508181 0.002798855 0.9999961 0 -0.001223444 0.749552 0.6619443 0.05709296 0.3252148 0.9439151 0.06937265 0.9614049 0.2662482 0.04883074 0.9868413 0.1541423 -0.001253604 0.7510474 -0.6602472 6.25717e-4 0.9194478 -0.3932116 0.01288038 0.9879402 -0.1542994 0.8659743 -0.5000886 0 0.8655635 0.4998514 0.03079831 0.9250857 0.3797584 0 0 -0.9990047 0.04460608 0.9391505 -0.3407208 0.04365479 0.3786953 -0.925265 -0.02178436 -0.8655617 -0.4998504 0.03086245 -0.3781996 -0.9254699 -0.02169269 0 0 -1 -0.8659743 0.5000886 0 -0.9252588 -0.3793364 0 0 0.9990048 0.04460144 -0.9393429 0.3401715 0.04379779 -0.3790581 0.9251148 -0.02185589 0.3778064 0.9256322 -0.0216242 0.8659743 -0.5000886 0 0 0 -1 0.8655635 0.4998514 0.03079843 0.9250859 0.379758 0 0 -0.9990047 0.04460608 0.9391506 -0.3407202 0.04365497 0.3786951 -0.9252651 -0.02178436 -0.8655617 -0.4998504 0.03086245 -0.3781996 -0.9254699 -0.02169269 -0.8659743 0.5000886 0 -0.9252588 -0.3793364 0 0 0 -1 0 0.9990048 0.04460144 -0.9393427 0.3401721 0.04379761 -0.3790583 0.9251147 -0.02185595 0.3778061 0.9256321 -0.0216242 0 -1 0 -0.5002284 0 -0.8658936 0 -1 0 -0.9999506 -0.009948551 0 0 -1 0 -0.1918433 -0.09918987 -0.9764003 -0.7452341 0.004683077 -0.6667864 0 -1 0 -0.4996268 -0.04900413 0.8648536 -0.9999559 -0.009217679 0.001803696 -0.7432936 0.004359602 0.6689512 0.5002279 0 0.8658939 -0.2846624 0 0.9586279 0 -1 0 -0.5002284 0 -0.8658936 0.4996274 -0.04900419 -0.8648533 0.2846627 0 -0.9586278 0 -1 0 0 -1 0 0 -1 0 0.5002057 0 0.8659065 0.9999506 -0.009948551 0 0.1917847 -0.0991981 0.9764109 0.745263 0.004690587 0.6667541 0.9999559 -0.009217679 -0.001803696 0.743294 0.004359602 -0.6689507 -0.008386015 0.2766487 -0.9609346 0 -0.2856383 -0.9583375 0 0.3949719 -0.9186933 0 0.2858004 0.9582891 -0.008199036 -0.2771092 0.9608035 0 -0.3932794 0.9194191 0.002951622 0.7449532 0.6671103 -0.005778312 0.3901289 0.9207421 0.009561657 0.9999504 -0.002770543 -0.005706787 0.9200497 0.3917599 0.002948462 0.7421098 -0.6702718 0.01031392 0.9998342 0.01500219 -0.005549907 0.9212642 -0.3888977 0.009120523 0.9998461 -0.01498788 0.002938508 -0.7444909 -0.6676262 -0.005695044 -0.3885704 -0.9214015 0.009562432 -0.9999528 0.001738011 -0.00576657 -0.9193442 -0.3934119 0.00294429 -0.7426327 0.6696925 -0.005630373 -0.9205329 0.3906244 0.009047985 -0.9998341 0.01580816 0.01030296 -0.9998223 -0.0157926 0.004665195 0.2800809 0.9599651 0 -0.2855901 0.9583519 0 0.353652 0.9353771 0 0.2858487 -0.9582747 0.004655241 -0.2803786 -0.9598783 0 -0.3537684 -0.935333 -0.002394318 0.7447057 -0.6673887 0.003674328 0.3525967 -0.9357682 -0.009561657 0.9999505 0.002770662 0.007314085 0.9023535 -0.4309345 -0.002407431 0.7418676 0.6705421 0.007300853 0.9023067 0.4310327 -0.009120345 0.999846 0.0149933 -0.01031333 0.9998345 -0.01498758 -0.002386987 -0.7442712 0.6678731 0.003666758 -0.3522593 0.9358953 -0.009562432 -0.9999528 -0.001738011 0.007324397 -0.9021977 0.4312608 -0.002404391 -0.7423915 -0.6699621 0.007302939 -0.9023428 -0.4309574 -0.009048938 -0.9998345 -0.0157836 -0.01030361 -0.999822 0.01580804 0 -1 0 -0.5000989 0 0.8659684 0.4998902 0.02888447 0.865607 0.3853957 0 0.9227514 0 -1 0 -0.9994697 0.03256225 0 -0.9191412 -0.01790195 0.3935211 -0.3993638 0.03609842 0.9160816 0 -1 0 -0.5000886 2.22342e-5 -0.8659741 0 -1 0 0 -1 0 -0.9659301 2.41283e-6 -0.258803 0 -1 0 0.5000886 0 -0.8659743 0 -1 0 -0.1600762 0 -0.9871047 -0.4294639 0.02354854 -0.902777 -0.7617006 0.0660097 -0.6445579 0 -1 0 1 -5.264e-6 0 0 -1 0 0.4587971 0.03844445 -0.8877089 0.6844789 1.73e-5 -0.7290328 0.1944639 0.08733355 -0.9770141 0.9184831 -0.01810872 0.3950455 0.9124499 0.07855385 -0.4015777 -0.5000989 0 0.8659684 0 -1 0 0.4998902 0.02888453 0.865607 0.3853955 0 0.9227515 -0.9994697 0.03256225 0 -0.919141 -0.01790201 0.3935217 -0.399364 0.03609836 0.9160815 0 -1 0 -0.5000886 2.21937e-5 -0.8659741 0 -1 0 -0.9659299 2.33431e-6 -0.2588036 0 -1 0 0.5000886 0 -0.8659743 0 -1 0 -0.1117611 0 -0.9937351 -0.3166437 0.01251637 -0.948462 -0.741493 0.06026816 -0.6682484 0 -1 0 1 -5.18301e-6 0 0 -1 0 0.6607117 3.42998e-5 -0.7506397 0.6607942 1.80968e-5 -0.7505672 0.3565342 0.05730062 -0.9325235 0.1380038 0.1017842 -0.9851877 0 -1 0 0 -1 0 0.9184833 -0.01810866 0.3950449 0.9124501 0.07855379 -0.4015768 0 -1 0 1 0 0 1 0 0 -0.2086594 -0.8383026 -0.5036965 0.2086592 -0.8383026 -0.5036965 -0.5036942 -0.8383038 -0.2086602 -0.5036944 -0.8383042 0.2086577 -0.2086318 -0.8382987 0.5037143 0.2086316 -0.8382987 0.5037144 0.5037152 -0.8382983 0.2086313 0.503715 -0.8382978 -0.2086338 -0.2086318 -0.8382986 -0.5037143 0.2086316 -0.8382987 -0.5037144 -0.5036944 -0.8383042 -0.2086576 -0.5036944 -0.8383042 0.2086577 -0.2086577 -0.8383047 0.5036936 0.2086575 -0.8383048 0.5036936 0.5037152 -0.8382983 0.2086313 0.5037152 -0.8382983 -0.2086313 0.2086318 -0.8382986 0.5037143 -0.2086316 -0.8382987 0.5037144 0.5036944 -0.8383042 0.2086576 0.5036942 -0.8383038 -0.2086602 0.2086594 -0.8383026 -0.5036965 -0.2086592 -0.8383026 -0.5036965 -0.503715 -0.8382978 -0.2086338 -0.5037152 -0.8382983 0.2086313 0.2086577 -0.8383047 0.5036936 -0.2086575 -0.8383048 0.5036936 0.5036944 -0.8383042 0.2086576 0.5036944 -0.8383042 -0.2086577 0.2086318 -0.8382987 -0.5037143 -0.2086316 -0.8382987 -0.5037144 -0.5037152 -0.8382983 -0.2086313 -0.5037152 -0.8382983 0.2086313 -0.8688928 0.1232985 0.4793983 -0.9911459 -0.1327772 0 0.8694592 0.1227756 0.4785048 0.9911459 -0.1327776 0 0.4751749 -0.311198 0.8230217 -0.4749034 -0.3128502 0.8225518 -0.285021 -0.8216174 0.4936677 0.2850211 -0.8216174 0.4936677 -0.8688933 0.1232978 0.4793978 -0.9911459 -0.1327776 0 0.8694593 0.1227758 0.4785046 0.9911459 -0.1327772 0 0.4751747 -0.3111981 0.8230217 -0.4749035 -0.3128507 0.8225516 -0.2850211 -0.8216174 0.4936677 0.285021 -0.8216174 0.4936677 0 0 -1 -0.8660412 -0.4999727 0 0 0 -1 0 0 -1 -0.8633735 0.4984294 -0.0784505 -0.9353576 0.3537037 0 0 -0.9974558 -0.07128739 -0.9167691 -0.3857722 -0.10351 -0.1751795 -0.9842506 -0.02372789 -0.4612666 -0.8861058 0.0452736 -0.2215283 -0.9750781 -0.01215964 0.8623903 -0.497865 -0.09172463 0.1901439 -0.9815614 -0.01955318 0.616424 -0.7872819 0.01444846 0 0 -1 0.8660426 0.4999703 0 0.9455705 -0.3254171 0 0 0.9994631 -0.032763 0.9232689 0.3619251 -0.128782 0.6142255 0.7889983 0.01445138 -0.4612177 0.8861314 0.04527002 -0.2212821 0.9751334 -0.01221078 0.1473385 0.9830121 -0.1094467 -0.1744759 0.9843711 -0.02390813 0.1947402 0.9808111 0.009269297 0.3842907 0.9232122 0 -0.009960711 0.9999504 0 -0.7325643 0.6725431 0.1050496 0.6091827 0.7930287 -0.001439809 0.9455297 0.325536 0 0.924387 0.381448 0.002441465 0.9245497 -0.3810615 0 0.9445931 -0.3282321 0.002756774 0.5590428 -0.09052467 -0.8241823 -0.3851239 0.9228646 6.75844e-4 -0.02722406 0.9996293 2.22792e-5 -0.9249499 0.3800889 0 -0.9352348 0.3540255 0.001359641 -0.426144 0.9046544 -0.001327693 -0.9354878 -0.3533591 0 -0.9248564 -0.3803143 0.001277029 -0.5593896 -0.09029394 -0.8239722 -0.8440932 0.5337191 0.05148398 -0.8571851 0.5149624 0.006876528 0.002210438 0.9999959 0.001782715 -0.1577426 0.9873693 -0.01480072 -0.8544462 0.513317 -0.08017134 -0.7328829 -0.6722133 -0.1049374 -0.84407 -0.5337531 -0.05151379 -0.8570726 -0.5151443 -0.007287442 -0.4263334 -0.9045651 -0.001339495 -0.1846413 -0.9827556 0.009946286 -7.57011e-4 -0.9999986 -0.001558899 -0.8329358 -0.5467466 0.08535915 -0.8570668 -0.5151408 0.008144795 -0.3852061 -0.9228306 0 -0.2902647 -0.3493216 -0.8909102 -0.1044224 -0.9944412 0.01351344 0.3836419 -0.9234697 0.004766762 0.1597459 0 -0.9871582 0.1985785 -0.980085 0 -0.4999902 0 -0.8660311 0.6072888 -0.7944799 -0.001394867 0.4933024 -0.1630147 -0.8544467 0 0 -1 0.4999723 -0.8660414 0 0 0 -1 0 0 -1 -0.4999065 -0.8659321 -0.01597362 -0.3567896 -0.9341847 0 0.999805 0 -0.01974916 0.3717077 -0.9281415 -0.01966488 0.3611476 -0.9322707 -0.02106595 0.922045 -0.3869469 0.01025366 0.2537331 -0.9666329 -0.03521901 0.4999163 0.8659444 -0.01496744 0.9202731 0.3911333 0.01059532 0 0 -1 -0.4999703 0.8660426 0 0.3829766 0.9237569 -0.001427054 0.02785325 0.999612 -4.96979e-5 0.009946227 0.9999505 0 -0.9998021 0 -0.01989543 -0.2286301 0.9727504 -0.03853285 -0.6830771 0.7303443 -0.001685678 -0.9602879 0.2790067 0.00156784 -0.9146184 -0.4041473 0.01175224 0.01135438 -0.9999356 0 -0.258834 -0.9659218 0 0.7326244 -0.6724869 0.10499 -0.2472084 -0.9689622 5.82101e-4 0.2586495 -0.9659711 6.69527e-4 0.1117478 0 -0.9937366 0.02691483 -0.9996377 3.05624e-5 -0.2168591 -0.444261 -0.8692551 -0.4999904 0 -0.8660309 0.7085929 -0.7056097 0.003330945 0.3999444 -0.1074808 -0.9102156 0.3905521 -0.9205642 -0.005527675 0.9999163 1.22153e-4 0.01294171 0.9204906 -0.3906985 -0.007187008 0.4936017 -0.1593468 -0.8549655 0.7084734 0.7057296 0.003336668 0.9209284 0.3896667 -0.007127106 0.2586266 0.9659773 0 0.07264941 0.9973161 0.009088933 0.12992 0.9915032 0.006485402 0.3916683 0.9200896 -0.005581915 -0.3583546 0.9335855 0 -0.2594635 0.9657254 -0.007290661 -0.002245962 0.9999958 -0.001786351 0.83292 0.5467638 0.0854032 0.8571799 0.5149593 0.007726788 0.8444083 -0.5332467 0.05121254 0.8570668 -0.5151408 0.008144736 7.18267e-4 -0.9999985 0.001562893 0.8329132 -0.5467813 -0.08535677 0.8570669 -0.5151408 -0.008136868 0.844398 0.5332638 -0.05120187 0.8571799 0.5149593 -0.007719337 0.7323839 0.6727362 -0.1050702 -0.9147378 0.4039698 -0.007944405 -0.9999154 9.16593e-5 0.01300489 -0.9599633 -0.280123 -0.001276969 -0.7085484 0.7056549 0.003235578 -0.6608125 3.77157e-5 -0.7505511 -0.7090554 -0.7051517 0.001180529 -0.4633815 -0.1843266 -0.8667763 -0.6828354 -0.7305721 -5.32837e-4 -0.2850151 -0.8216159 -0.4936736 0.2850152 -0.8216159 -0.4936736 -0.5700398 -0.8216171 0 0.57004 -0.8216169 0 0.8659089 -0.5002018 0 0.8659089 0.5002018 4.80589e-5 0.8660254 0.5000001 0 0 -1 -7.45062e-6 0.8660351 -0.4999834 5.20284e-5 -0.8659089 -0.5002018 5.20187e-5 0 -1 -7.45062e-6 -0.8659089 0.5002018 0 -0.8660351 -0.4999834 0 0 1 -1.53669e-5 -0.8660254 0.5000001 4.80688e-5 0 1 -1.53669e-5 -0.2850152 -0.8216159 -0.4936736 0.2850151 -0.8216159 -0.4936736 -0.57004 -0.8216169 0 0.5700398 -0.8216171 0 -0.4936949 -0.2850223 -0.8216007 -0.4936931 0.2850338 -0.8215978 0 -0.5700565 -0.8216055 0.4936949 -0.2850223 -0.8216007 0.4936931 0.2850338 -0.8215978 0 0.5700736 -0.8215937 0.493698 -0.2850241 0.8215982 0.4936962 0.2850357 0.8215953 0 -0.5700601 0.821603 -0.493698 -0.2850241 0.8215982 -0.4936962 0.2850357 0.8215953 0 0.5700772 0.8215912 -1 0 0 0 0.8660436 -0.4999684 -1 0 0 -7.94406e-5 0.8660445 0.4999668 0 0.8660197 0.5000099 -1 0 0 2.04887e-4 0 -1 -7.94375e-5 0.8660188 -0.5000114 -1 0 0 -5.20131e-5 -0.8660355 -0.4999825 -1 0 0 -1 0 0 2.04887e-4 0 -1 -1 0 0 0 -0.8660364 0.4999811 -1 0 0 0 -0.8660192 -0.5000107 -1 0 0 2.04887e-4 0 1 -1 0 0 -5.20108e-5 -0.8660201 0.5000092 -1 0 0 -1 0 0 2.04887e-4 0 1 0 0.8660355 -0.4999825 -5.20135e-5 0.8660364 0.4999811 0 0.8660201 0.5000092 -1 0 0 2.04887e-4 0 -1 -5.2011e-5 0.8660192 -0.5000107 -1 0 0 -7.94401e-5 -0.8660436 -0.4999684 -1 0 0 -1 0 0 2.04887e-4 0 -1 -1 0 0 0 -0.8660445 0.4999668 0 -0.8660188 -0.5000114 -1 0 0 2.04887e-4 0 1 -7.94373e-5 -0.8660197 0.5000099 2.04887e-4 0 1 -1 0 0 0 0.8660445 -0.4999668 -1 0 0 -7.94401e-5 0.8660436 0.4999684 -1 0 0 -1 0 0 0 0.8660188 0.5000114 -1 0 0 2.04887e-4 0 -1 -7.94373e-5 0.8660197 -0.5000099 -1 0 0 -5.20135e-5 -0.8660364 -0.4999811 -1 0 0 -1 0 0 -1 0 0 2.04887e-4 0 -1 -1 0 0 0 -0.8660355 0.4999825 -1 0 0 0 -0.8660201 -0.5000092 -1 0 0 2.04887e-4 0 1 -1 0 0 -5.2011e-5 -0.8660192 0.5000107 -1 0 0 -1 0 0 2.04887e-4 0 1 0 0.8660364 -0.4999811 -5.20131e-5 0.8660355 0.4999825 0 0.8660192 0.5000107 -1 0 0 2.04887e-4 0 -1 -5.20108e-5 0.8660201 -0.5000092 -1 0 0 -7.94406e-5 -0.8660445 -0.4999668 -1 0 0 -1 0 0 2.04887e-4 0 -1 -1 0 0 0 -0.8660436 0.4999684 0 -0.8660197 -0.5000099 -1 0 0 2.04887e-4 0 1 -1 0 0 -7.94375e-5 -0.8660188 0.5000114 2.04887e-4 0 1 -1 0 0 0 -1 0 -1 0 0 0 -0.9238733 -0.3826982 0 -1 0 0 -0.9238733 -0.3826982 -1 0 0 0 -0.9238733 0.3826982 -1 0 0 0 -0.3826915 0.9238762 0 -0.9238733 0.3826982 -1 0 0 0 0 1 -1 0 0 0 -0.3826915 0.9238762 -1 0 0 0 0.3826915 0.9238762 -1 0 0 0 0 1 -1 0 0 0 0.9238733 0.3826982 -1 0 0 0 0.3826915 0.9238762 -1 0 0 0 1 0 0 1 0 0 0.9238733 0.3826982 -1 0 0 0 0.9238733 -0.3826982 -1 0 0 0 0.3826988 -0.9238733 0 0.9238733 -0.3826982 -1 0 0 0 0 -1 0 0.3826988 -0.9238733 -1 0 0 0 -0.3826988 -0.9238733 -1 0 0 0 0 -1 -1 0 0 0 -0.3826988 -0.9238733 -1 0 0 0 0 -1 -1 0 0 0 0.3827086 -0.9238691 0 0.3827086 -0.9238691 -1 0 0 0 -0.3827086 -0.9238691 -1 0 0 0 0 -1 -1 0 0 0 -0.9238685 -0.38271 0 -0.3827086 -0.9238691 -1 0 0 0 -1 0 -1 0 0 0 -1 0 0 -0.9238685 -0.38271 -1 0 0 0 -0.9238685 0.38271 -1 0 0 0 -0.3827086 0.9238691 0 -0.9238685 0.38271 0 0 1 0 -0.3827086 0.9238691 0 0.3827086 0.9238691 0 0 1 0 0.9238685 0.38271 0 0.3827086 0.9238691 -1 0 0 0 1 0 -1 0 0 0 1 0 0 0.9238685 0.38271 -1 0 0 0 0.9238685 -0.38271 0 0.9238685 -0.38271 0 1 0 0 0.9238812 -0.3826794 0 0.9238812 -0.3826794 0 0.9238702 0.382706 0 1 0 -1 0 0 0 0.3827005 0.9238724 -1 0 0 0 0.9238702 0.382706 0 0 1 0 0.3827005 0.9238724 0 -0.3827005 0.9238724 0 0 1 0 -0.9238702 0.382706 0 -0.3827005 0.9238724 0 -1 0 0 -0.9238702 0.382706 0 -0.9238812 -0.3826794 0 -1 0 -1 0 0 0 -0.3826788 -0.9238814 -1 0 0 -1 0 0 -1 0 0 0 -0.9238812 -0.3826794 0 0 -1 0 -0.3826788 -0.9238814 -1 0 0 0 -0.3826988 -0.9238731 -1 0 0 0 0 -1 -1 0 0 0.01689308 -0.9237439 -0.382638 -1 0 0 -0.008513331 -0.7070812 -0.7070812 0.02497279 -0.258724 -0.9656284 0 -1 0 0.0159983 -0.9264035 -0.3761923 0 -1 0 0 -0.9920856 -0.1255638 -1 0 0 0 -0.9238792 -0.3826842 -1 0 0 -5.41183e-7 -0.3826503 -0.9238933 -1 0 0 5.5134e-6 -0.923857 -0.3827379 0 0 -1 0 0 -1 0 0 -1 0 -0.3826451 -0.9238954 0 0.3826503 -0.9238932 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -3.90649e-6 0.9238793 -0.3826842 4.20739e-6 0.3826913 -0.9238762 0 1 0 0 1 0 0 0.923895 -0.3826462 0 1 0 0 1 0 0 1 0 0 0.9238757 -0.3826926 0.01689261 0.3826442 -0.9237413 -0.008513331 0.7070812 -0.7070812 0.01734209 0.9264427 -0.3760362 0.05254036 0.9931659 -0.1042168 0 0 -1 0 0.2588047 -0.9659296 0 0.3826788 -0.9238814 0 0 -1 0 0.3826788 -0.9238814 1 0 0 0 0.8660262 0.4999985 1 0 0 1.04851e-4 0.8660257 -0.4999996 1 0 0 0 0.8659694 -0.5000969 1 0 0 -2.82502e-5 0 1 1 0 0 1.05773e-4 0.8659695 0.5000967 1 0 0 1.06455e-4 -0.8660264 0.4999984 1 0 0 1 0 0 -2.82502e-5 0 1 1 0 0 0 -0.8660257 -0.4999994 1 0 0 0 -0.8659693 0.5000972 1 0 0 -3.01129e-5 0 -1 1 0 0 1.05512e-4 -0.8659691 -0.5000973 1 0 0 1 0 0 -3.01129e-5 0 -1 0 0.8660264 0.4999984 1.05523e-4 0.8660257 -0.4999994 0 0.8659691 -0.5000973 1 0 0 -2.82502e-5 0 1 1.06449e-4 0.8659693 0.5000972 1 0 0 1.05782e-4 -0.8660262 0.4999985 1 0 0 1 0 0 -2.82502e-5 0 1 1 0 0 0 -0.8660257 -0.4999996 1 0 0 0 -0.8659695 0.5000967 1 0 0 -3.01129e-5 0 -1 1 0 0 1.0484e-4 -0.8659695 -0.5000969 -3.01129e-5 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 0.9884126 0 0.1517915 0.9919906 0.001782178 0.1262987 1 0 0 -0.01284021 -0.6764292 0.7363958 0.02500569 0 0.9996873 0.2174869 -0.2184036 0.9513146 1 0 0 0.2230925 -0.9379037 0.2656436 1 0 0 1 0 0 0 -0.8660262 -0.4999985 1 0 0 0 -0.8659694 0.5000969 1 0 0 -2.82502e-5 0 -1 1.05772e-4 -0.8659695 -0.5000967 1 0 0 1.06455e-4 0.8660264 -0.4999984 1 0 0 1 0 0 -2.82502e-5 0 -1 1 0 0 0 0.9621522 0.2725128 1 0 0 0 0.8659693 -0.5000972 1 0 0 -0.01284021 0.6764292 0.7363958 1 0 0 0.1237596 0.8593118 0.4962527 0.9884126 0 0.1517915 0.9884126 0 0.1517916 0.01366066 0.2309731 0.9728643 -0.01284021 -0.6764292 0.7363958 0.02500569 0 0.9996873 0.2174827 -0.2183988 0.9513165 0.2230921 -0.9379034 0.2656447 0 -0.8660264 -0.4999984 0 -0.8659691 0.5000973 1 0 0 -2.82502e-5 0 -1 1.06444e-4 -0.8659693 -0.5000972 1 0 0 1.05782e-4 0.8660262 -0.4999985 -2.82502e-5 0 -1 1 0 0 0 0.9621526 0.2725117 0 0.8659695 -0.5000967 1 0 0 -0.01284021 0.6764292 0.7363958 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.1237598 0.8593121 0.4962522 0.9919008 0 0.1270148 0.01366043 0.2309785 0.9728629 0.9893709 -0.001554369 0.1454059 0.4999824 0.8660356 0 0 0 -1 -0.4999944 0.8660286 0 0 0 -1 -0.4999944 0.8660286 0 1 0 0 0.4999824 0.8660356 0 0.5000032 -0.8660236 0 1 0 0 0 0 -1 -0.5000152 -0.8660166 0 0.5000032 -0.8660236 0 0 0 -1 -1 0 0 0 0 -1 -0.5000152 -0.8660166 0 0 0 -1 -1 0 0 0 0 -1 0.4999821 0.8660358 0 0 0 -1 -0.4999941 0.8660288 0 0 0 -1 -0.4999941 0.8660288 0 1 0 0 0.4999821 0.8660358 0 0.500003 -0.8660236 0 1 0 0 -0.5000151 -0.8660168 0 0.500003 -0.8660236 0 0 0 -1 -1 0 0 -0.5000151 -0.8660168 0 0 0 -1 -1 0 0 -0.4999941 -0.8660288 0 0.4999821 -0.8660358 0 0.4999821 -0.8660358 0 0 0 -1 -1 0 0 -0.4999941 -0.8660288 0 0 0 -1 -0.5000151 0.8660168 0 -1 0 0 0 0 -1 0.500003 0.8660236 0 0 0 -1 0 0 -1 -0.5000151 0.8660168 0 1 0 0 0.500003 0.8660236 0 1 0 0 -0.4999944 -0.8660286 0 0.4999824 -0.8660356 0 0.4999824 -0.8660356 0 0 0 -1 -1 0 0 -0.4999944 -0.8660286 0 0 0 -1 -0.5000152 0.8660166 0 -1 0 0 0.5000032 0.8660236 0 -0.5000152 0.8660166 0 1 0 0 0.5000032 0.8660236 0 1 0 0 0.1932691 0 -0.9811458 0.193383 -0.3754294 -0.9064522 0.1933284 -1.62763e-6 -0.9811341 0.2563667 0.3699114 -0.8929958 0.1892334 0.4579449 -0.8686064 0.3827688 0.9238441 0 0.1909856 0.980089 0.05431348 0.1933829 0.9064518 -0.3754304 0 0 1 0 0 1 0 0 1 0.2587925 0 0.9659329 0 0 1 0.7071302 0 0.7070834 0.2587925 0 0.9659329 0.7071302 0 0.7070834 0.9256097 0 0.3784795 0 -1 0 0.1933284 -0.981134 0 0 0 1 0.3827688 -0.9238439 6.6919e-4 0.5465778 -0.8357914 0.05201435 0 -1 0 0 -1 0 0.2563495 -0.8929814 -0.3699582 0.1892875 -0.8686173 -0.4579021 0.9154396 0 0.4024556 0.9255498 0.001330494 0.3786234 0.4643324 -0.008652627 0.8856188 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0.9807253 0 -0.1953914 1 0 0 0.980725 0.1953933 0 0.9735371 0.1615954 -0.1615934 0.9807254 0 -0.1953914 0.9238458 -0.3827648 0 0.9771474 -0.2055366 0.05420148 0.9735371 -0.1615954 -0.1615934 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9234724 0.38261 0.0284335 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8826169 -0.4698672 0.01456999 0.7744444 -0.6326419 -1.52322e-4 0.5520654 0.8338006 3.62527e-4 0.8300758 0.5576505 -3.02741e-4 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.3573545 0.8143725 -0.4572692 0.3573374 -0.4572603 -0.814385 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.5499498 0.7622237 -0.3414241 0.7932329 0.4513208 -0.4087678 0.8630288 0.3994656 -0.3092063 0.848461 0.3742442 -0.3742396 0.8836966 -0.002892434 -0.4680513 0.8300449 0 -0.5576966 0.7743827 1.29254e-6 -0.6327174 0.7720223 0.264079 -0.5781385 0.5521695 -1.38328e-6 -0.8337319 0.5589354 0.2137657 -0.8011838 0.5520988 9.21107e-7 -0.8337787 0.5499516 -0.3414077 -0.7622296 0.7932103 -0.4087961 -0.451335 0.8630376 -0.3091918 -0.3994579 0.8484387 -0.3742694 -0.3742649 0.7720644 -0.5780749 -0.2640946 0.5589039 -0.8012055 -0.2137667 0 0 -1 -0.8910278 -0.4539487 0 0 0 -1 -0.4409329 -0.8654799 0.2377446 0 0 -1 -0.5556435 -0.8314206 0 0 0 -1 -0.9876778 0.1565006 2.85171e-4 0 0 -1 0 0 -1 -0.8909849 -0.4540327 3.10913e-4 -0.9877012 0.1563534 -2.05924e-4 0 0 -1 -0.7071068 0.7071068 1.26572e-4 0 0 -1 -0.7071612 0.7070525 -1.26828e-4 0 0 -1 -0.1565006 0.9876779 -1.14669e-5 0 0 -1 0 0 -1 0 0 -1 -0.1564888 0.9876797 2.80065e-5 0 0 -1 0.4539487 0.8910278 1.07894e-4 0 0 -1 0 0 -1 0.8910278 0.4539487 0 0 0 -1 0.4539779 0.891013 0 0 0 -1 0.9693394 -0.1535948 0.1918066 0 0 -1 0 0 -1 0.7751781 0.5180297 0.3615858 0.9760673 0.1941607 -0.09795027 0 0 -1 0.7048866 -0.7048866 0.07918262 0 0 -1 0.9638609 -0.2583575 -0.06498992 0 0 -1 0.1535947 -0.969339 0.1918082 0 0 -1 0 0 -1 0 0 -1 0.7048676 -0.7049173 0.07907688 0.2583279 -0.9638744 -0.06490749 0 0 -1 -0.1941834 -0.9760606 -0.09797179 0.9659247 0.2588231 0 0 0 -1 0.2588173 0.9659264 0 0 0.8372139 0.5468755 0.4999941 0.8660288 0 0.7070955 -0.7071181 0 0.7250365 0.4186147 0.5468856 1 0 0 0 0 -1 -0.2588173 -0.9659264 0 0.7250428 -0.4186183 0.5468745 0.4999941 -0.8660288 0 0 0 -1 -0.9659239 -0.2588264 0 -0.4999941 -0.8660288 0 0 -0.8372139 0.5468755 0 0 -1 -0.7070937 0.7071198 0 0 0 -1 -0.7250317 -0.4186177 0.5468896 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7250425 0.4186239 0.5468705 -0.4999941 0.8660288 0 -0.2588231 0.9659247 0 0 0 -1 -0.9659264 0.2588173 0 -0.8372139 0 0.5468755 -0.8660288 0.4999941 0 0.7071181 0.7070955 0 -0.4186147 0.7250365 0.5468856 0 1 0 0 0 -1 0.9659264 -0.2588173 0 0 0 -1 0.4186183 0.7250428 0.5468745 0.8660288 0.4999941 0 0 0 -1 0.2588264 -0.9659239 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660288 -0.4999941 0 0.8372139 0 0.5468755 0 0 -1 -0.7071198 -0.7070937 0 0.4186177 -0.7250317 0.5468896 0 -1 0 0 0 -1 -0.4186239 -0.7250425 0.5468705 -0.8660288 -0.4999941 0 -0.9659247 -0.2588231 0 -0.2588173 -0.9659264 0 0 -0.8372139 0.5468755 -0.4999941 -0.8660288 0 -0.7070955 0.7071181 0 -0.7250365 -0.4186147 0.5468856 -1 0 0 0 0 -1 0.2588173 0.9659264 0 -0.7250428 0.4186183 0.5468745 -0.4999941 0.8660288 0 0 0 -1 0.9659239 0.2588264 0 0.4999941 0.8660288 0 0 0.8372139 0.5468755 0 0 -1 0.7070937 -0.7071198 0 0 0 -1 0.7250317 0.4186177 0.5468896 1 0 0 0 0 -1 0 0 -1 0.7250425 -0.4186239 0.5468705 0.4999941 -0.8660288 0 0.2588231 -0.9659247 0 0 0 -1 0.9659264 -0.2588173 0 0.8372139 0 0.5468755 0.8660288 -0.4999941 0 -0.7071181 -0.7070955 0 0.4186147 -0.7250365 0.5468856 0 -1 0 -0.9659264 0.2588173 0 -0.4186183 -0.7250428 0.5468745 -0.8660288 -0.4999941 0 0 0 -1 -0.2588264 0.9659239 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660288 0.4999941 0 -0.8372139 0 0.5468755 0 0 -1 0.7071198 0.7070937 0 -0.4186177 0.7250317 0.5468896 0 1 0 0 0 -1 0.4186239 0.7250425 0.5468705 0.8660288 0.4999941 0 -0.9997817 0.02089607 0 0 0 -1 -0.9396998 -0.3420005 0 -0.9396998 -0.3420005 0 -0.7242847 0.6895012 0 -0.9997817 0.02089607 0 0 0 -1 -0.5751206 0.8180686 0 -0.7242847 0.6895012 0 -0.8180397 0.5751618 0 -0.5751206 0.8180686 0 -0.6894173 0.7243645 0 -0.8180397 0.5751618 0 0 0 -1 -0.02085453 0.9997825 0 -0.6894173 0.7243645 0 0 0 -1 0.3420445 0.9396837 0 -0.02085453 0.9997825 0 0 0 -1 0.6896843 0.7241102 0 0.3420445 0.9396837 0 0 0 -1 0.9999 -0.01414233 0 0.6896843 0.7241102 0 0 0 -1 0.8220553 -0.5694077 0 0.9999 -0.01414233 0 0 0 -1 0.569361 -0.8220877 0 0 0 -1 0.8220553 -0.5694077 0 0 0 -1 0.0141046 -0.9999005 0 0 0 -1 0.569361 -0.8220877 0 0 0 -1 -0.72418 -0.689611 0 0.0141046 -0.9999005 0 -0.72418 -0.689611 0 0 0 -1 0.5751206 -0.8180686 0 0.7242847 -0.6895012 0 0.7242847 -0.6895012 0 0.8180397 -0.5751618 0 0.5751206 -0.8180686 0 0.6894173 -0.7243645 0 0.8180397 -0.5751618 0 0 0 -1 0.02085453 -0.9997825 0 0.6894173 -0.7243645 0 0 0 -1 -0.3420445 -0.9396837 0 0.02085453 -0.9997825 0 0 0 -1 -0.6896843 -0.7241102 0 -0.3420445 -0.9396837 0 0 0 -1 -0.9999 0.01414233 0 -0.6896843 -0.7241102 0 0 0 -1 -0.8220553 0.5694077 0 -0.9999 0.01414233 0 0 0 -1 -0.569361 0.8220877 0 0 0 -1 -0.8220553 0.5694077 0 0 0 -1 -0.0141046 0.9999005 0 0 0 -1 -0.569361 0.8220877 0 0 0 -1 0.72418 0.689611 0 -0.0141046 0.9999005 0 0 0 -1 0.9396998 0.3420005 0 0.72418 0.689611 0 0.9997817 -0.02089607 0 0.9396998 0.3420005 0 0.9997817 -0.02089607 0 0.3809682 0.6062948 -0.6980472 0.6063188 0.3809833 -0.698018 0.6062968 0.3809656 -0.6980468 0.08016043 0.7113511 -0.6982506 0.3809803 0.6063203 -0.6980184 0 0 -1 -0.2364891 0.6758183 -0.6980992 0 0 -1 0.08016008 0.7114133 -0.6981872 -0.506368 0.5063705 -0.697983 -0.23644 0.6757178 -0.6982131 -0.6757191 0.2364535 -0.6982073 -0.50638 0.5063801 -0.6979673 -0.7114133 -0.08016747 -0.6981865 -0.6758213 0.2364762 -0.6981007 -0.6063188 -0.3809833 -0.698018 -0.7113527 -0.08015328 -0.6982497 -0.3809682 -0.6062948 -0.6980472 -0.6062968 -0.3809656 -0.6980468 -0.08016043 -0.7113511 -0.6982506 -0.3809803 -0.6063203 -0.6980184 0 0 -1 0.2364891 -0.6758183 -0.6980992 0 0 -1 -0.08016008 -0.7114133 -0.6981872 0.506368 -0.5063705 -0.697983 0.23644 -0.6757178 -0.6982131 0.6757191 -0.2364535 -0.6982073 0.50638 -0.5063801 -0.6979673 0.7114133 0.08016747 -0.6981865 0.6758213 -0.2364762 -0.6981007 0.7113527 0.08015328 -0.6982497 0 0 1 0.8660411 0.4999728 0 0 0 1 0.232853 0.4033424 0.8849263 0 0 1 0 0 1 0 0 1 0.5230422 0.7009244 0.4849039 0.6722824 0.7402948 0 0 0 1 0.992847 0 0.1193934 0 0 1 0 0 1 0 0 1 0.1112625 0.1009876 0.9886466 0.1866039 0.1390403 0.9725466 0.8638005 0.4092656 0.2938545 0.9160704 0.3975585 0.05255645 0.9238962 0.382643 0 0.959033 0.2568733 -0.1194644 0 0 1 0.8598424 -0.4963943 0.1194307 0 0 1 0 0 1 0 0 1 0.9589293 -0.2572572 -0.1194707 0 0 1 0.4963942 -0.8598424 0.1194313 0 0 1 0.7016888 -0.7023938 -0.1194815 0 0 1 0 -0.992847 0.1193942 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2562927 -0.9591877 -0.1194699 0 0 1 -0.232853 -0.4033424 0.8849263 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3980176 -0.9158588 0.05277144 -0.3225936 -0.9288717 -0.1820183 -0.4095724 -0.8633003 0.2948948 0 0 1 -0.8660411 -0.4999728 0 0 0 1 0 0 1 0 0 1 -0.6722824 -0.7402948 0 -0.5230422 -0.7009244 0.4849039 0 0 1 -0.9936138 0 0.1128349 0 0 1 0 0 1 0 0 1 -0.9597813 -0.2570232 -0.1129559 -0.9238963 -0.3826431 0 -0.8638005 -0.4092656 0.2938545 -0.1866039 -0.1390403 0.9725465 -0.9160704 -0.3975585 0.05255645 -0.1112625 -0.1009876 0.9886466 0 0 1 -0.8605083 0.4967787 0.1128552 0 0 1 0 0 1 0 0 1 -0.959654 0.2575153 -0.1129157 0 0 1 -0.4967787 0.8605083 0.112856 0 0 1 -0.7022364 0.7029305 -0.1129282 0 0 1 0 0.9936138 0.1128349 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.256564 0.9599088 -0.1129164 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.3254162 0.9293497 -0.1743944 0.3980176 0.9158588 0.05277144 0.4095724 0.8633003 0.2948948 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2245606 -0.6785197 0.6994166 0.1859903 0.7713076 0.6086807 0.02246707 0.6663485 0.7453019 0 -0.7052945 0.7089145 0.05832731 -0.6880953 0.7232723 0 0 1 0.4088836 -0.5608119 0.7199336 0 0 1 0.6229323 -0.3595785 0.6947364 0.3596383 -0.62289 0.6947433 0.7192777 -7.39496e-5 0.6947227 0.6229217 -0.3596384 0.694715 0.6228617 0.3596903 0.6947419 0.7192509 0 0.6947504 0.3596937 0.622884 0.6947202 0.6229226 0.359639 0.6947137 -5.73124e-5 0.7192669 0.6947339 0.3596448 0.6228927 0.6947376 -0.3595924 0.6229447 0.6947181 0 0.7192876 0.6947125 -0.6673428 0.2979413 0.6825574 -0.3596413 0.6228866 0.6947448 -0.7162408 -0.2300142 0.6588571 -0.6678704 0.3855891 0.6366084 -0.6973672 0 0.716714 0 0 1 -0.3747303 -0.6402477 0.6705671 0 0 1 -0.6097595 -0.3520392 0.710114 -0.1074139 0.4452778 0.8889263 -0.02710986 0.6019172 0.7980983 -0.369949 -0.6407479 0.6727406 -0.05796909 -0.701856 0.7099562 -0.4309679 0.6265944 0.6493429 -0.1001409 0.6320402 0.768438 0 0 1 -0.6265563 0.4308905 0.649431 0 0 1 -0.3458917 0.3458386 0.8722125 0 0 1 -0.6365842 0.1535543 0.7557657 0 0 1 0.6785112 0.2245765 0.6994197 -0.4203824 0.03720796 0.9065837 0.7052945 0 0.7089145 0.688498 0.05705678 0.7229903 0.5608119 0.4088836 0.7199336 0.3595785 0.6229323 0.6947364 0.62289 0.3596383 0.6947433 7.39496e-5 0.7192777 0.6947227 0.3596384 0.6229217 0.694715 -0.3596903 0.6228617 0.6947419 0 0.7192509 0.6947504 -0.622884 0.3596937 0.6947202 -0.359639 0.6229226 0.6947137 -0.7192669 -5.73124e-5 0.6947339 -0.6228927 0.3596448 0.6947376 -0.6229447 -0.3595924 0.6947181 -0.7192876 0 0.6947125 -0.2979413 -0.6673428 0.6825574 -0.6228866 -0.3596413 0.6947448 0.2300142 -0.7162408 0.6588571 -0.3855891 -0.6678704 0.6366084 0 -0.6973672 0.716714 0 0 1 0.6402568 -0.3747205 0.6705638 0.3520392 -0.6097595 0.710114 -0.7713721 -0.1860072 0.6085938 -0.5723439 0.09060221 0.8149932 -0.2141335 -0.0481233 0.9756183 0.6407554 -0.3699533 0.6727309 0.7017904 -0.05880361 0.7099523 -0.3314331 -0.227933 0.9155319 -0.4040977 -0.5875838 0.7010352 -0.6457011 -0.3290397 0.6890596 0 0 1 -0.173249 -0.718469 0.6736373 0 0 1 0 0 1 -0.3807522 -0.5697271 0.7283123 -0.2245606 0.6785197 0.6994166 -0.04944175 -0.5090603 0.8593097 0 0.7052945 0.7089145 -0.08744615 0.6784748 0.7294005 -0.4088836 0.5608119 0.7199336 -0.6229323 0.3595785 0.6947364 -0.3596383 0.62289 0.6947433 -0.7192777 7.39496e-5 0.6947227 -0.6229217 0.3596384 0.694715 -0.6228617 -0.3596903 0.6947419 -0.7192509 0 0.6947504 -0.3596937 -0.622884 0.6947202 -0.6229226 -0.359639 0.6947137 5.73124e-5 -0.7192669 0.6947339 -0.3596448 -0.6228927 0.6947376 0.3595924 -0.6229447 0.6947181 0 -0.7192876 0.6947125 0.6673428 -0.2979413 0.6825574 0.3596413 -0.6228866 0.6947448 0.7162408 0.2300142 0.6588571 0.6678704 -0.3855891 0.6366084 0.6973672 0 0.716714 0 0 1 0.3747303 0.6402477 0.6705671 0 0 1 0.6097595 0.3520392 0.710114 0.1529603 -0.6340878 0.7579814 0.02949732 -0.702044 0.7115225 0.369949 0.6407479 0.6727406 0.08688104 0.699249 0.7095791 0.4498552 -0.654055 0.6081467 0.1552932 -0.5794312 0.8000897 0 0 1 0.6541327 -0.449855 0.6080631 0 0 1 0.3841945 -0.3842216 0.839505 0 0 1 0.5729478 -0.1382042 0.8078555 0 0 1 -0.6785112 -0.2245765 0.6994197 0.4198613 -0.05699521 0.905797 -0.7052945 0 0.7089145 -0.6784097 -0.08763009 0.729439 -0.5608119 -0.4088836 0.7199336 -0.3595785 -0.6229323 0.6947364 -0.62289 -0.3596383 0.6947433 -7.39496e-5 -0.7192777 0.6947227 -0.3596384 -0.6229217 0.694715 0.3596903 -0.6228617 0.6947419 0 -0.7192509 0.6947504 0.622884 -0.3596937 0.6947202 0.359639 -0.6229226 0.6947137 0.7192669 5.73124e-5 0.6947339 0.6228927 -0.3596448 0.6947376 0.6229447 0.3595924 0.6947181 0.7192876 0 0.6947125 0.2979413 0.6673428 0.6825574 0.6228866 0.3596413 0.6947448 -0.2300142 0.7162408 0.6588571 0.3855891 0.6678704 0.6366084 0 0.6973672 0.716714 0 0 1 -0.6402568 0.3747205 0.6705638 -0.3520392 0.6097595 0.710114 0.7185177 0.173262 0.673582 0.6483151 0.1289637 0.7503705 0.7020155 0.02945393 0.7115523 -0.6407554 0.3699533 0.6727309 -0.6992481 0.08691084 0.7095764 0.5636717 0.387648 0.7293855 0.4040977 0.5875838 0.7010352 0.5936626 0.3967279 0.7001226 0.2242445 0.4401201 0.8694876 0.2944986 0.9537521 0.06022793 0 0 1 0.4785695 0.8773644 -0.03468209 0.4987285 -0.5016294 0.7068505 0.5000088 -0.5000023 0.7070989 0.499993 -0.5000022 0.7071101 -0.1335749 0.9891297 0.06148314 0 0 1 0.11173 0.9915933 -0.06526136 0 0 1 0 0 1 0 0 1 0 0 1 -0.5369732 0.8413148 0.06204164 0 0 1 -0.3295512 0.9418187 -0.06613314 0 0 1 0 0 1 0 0 1 -0.8408898 0.53764 0.06202876 -0.7055451 0.7055451 -0.06642454 -0.9890255 0.134364 0.06143933 0 0 1 -0.9418209 0.329552 -0.06609714 0 0 1 -0.9539882 -0.2937483 0.06015282 0 0 1 -0.9915974 -0.1117305 -0.06519836 0 0 1 0 0 1 -0.8649168 -0.5018717 -0.006611108 0.4999976 -0.4999935 0.7071131 -0.8903436 -0.4547628 -0.02188497 0 0 1 0 0 1 0 0 1 0.4999975 -0.4999975 0.7071102 -0.8442878 -0.5358901 0 0.4999999 -0.5000001 0.7071067 0.7071067 -0.7071069 0 0.7071066 -0.7071069 0 -0.8837426 -0.4658974 -0.0440303 0.653586 -0.6535862 0.3816416 -0.8261092 -0.3734711 -0.421975 0.2712078 -0.2714178 0.9234602 -0.8252312 -0.5185326 -0.2238693 0.6539198 -0.653712 0.3808535 -0.7806638 -0.6218723 -0.0619592 0 0 1 0.2718834 -0.2718812 0.9231252 -0.7331709 -0.6800444 0 0 0 1 0 0 1 -0.5320361 -0.8467217 0 -0.5030373 -0.5421467 -0.6730753 0 0 1 0 0 1 0.5320361 0.8467217 0 0.5030373 0.5421467 -0.6730753 0.5323705 0.6675207 -0.5205745 0.5075114 0.8425969 -0.1801738 0.4662364 0.8835567 -0.04417061 0.4438178 0.8961171 0 0.4963456 0.866831 -0.04738438 0.7331709 0.6800444 0 0.8261093 0.3734711 -0.4219747 0.8252312 0.5185326 -0.2238693 0.7806638 0.6218723 -0.06195926 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2713336 -0.2713336 0.923448 0 0 1 0.6534728 -0.6536827 0.3816704 0.2719416 -0.2717404 0.9231494 0.7071115 -0.7071022 0 0.7071066 -0.707107 -5.9708e-6 0.7071083 -0.7071053 -2.91384e-6 0.7071097 -0.7071039 0 0.7071085 -0.7071051 -2.50427e-6 0.6538117 -0.6538063 0.3808774 -0.2944978 -0.9537523 0.06022834 0 0 1 -0.4785695 -0.8773644 -0.03468209 -0.4987285 0.5016294 0.7068505 -0.5000088 0.5000023 0.7070989 -0.5000011 0.5000023 0.7071044 0.1335881 -0.9891279 0.06148368 0 0 1 -0.11173 -0.9915932 -0.06526362 0 0 1 0 0 1 0 0 1 0 0 1 0.5369808 -0.8413097 0.06204378 0 0 1 0.3295513 -0.9418188 -0.06612968 0 0 1 0 0 1 0 0 1 0.8408959 -0.5376307 0.06202781 0.7055451 -0.7055451 -0.06642454 0.989027 -0.1343544 0.06143718 0 0 1 0.9418208 -0.3295519 -0.06609916 0 0 1 0.9539868 0.2937535 0.06015038 0 0 1 0.9915972 0.1117305 -0.06520062 0 0 1 0 0 1 0.8649168 0.5018717 -0.006611108 -0.4999976 0.4999935 0.7071131 0.8903436 0.4547628 -0.02188497 0 0 1 0 0 1 0 0 1 -0.4999975 0.4999974 0.7071103 0.8442878 0.5358901 0 -0.4999999 0.5000001 0.7071067 -0.7071067 0.7071069 0 -0.7071066 0.7071069 0 0.8837426 0.4658974 -0.0440303 -0.653586 0.6535862 0.3816416 -0.2712078 0.2714178 0.9234602 -0.6539198 0.653712 0.3808535 0 0 1 -0.2718834 0.2718812 0.9231252 0 0 1 -0.5323705 -0.6675207 -0.5205745 -0.5075114 -0.8425969 -0.1801738 -0.4662364 -0.8835567 -0.04417061 -0.4438178 -0.8961171 0 -0.4963456 -0.866831 -0.04738438 0 0 1 0 0 1 -0.2713336 0.2713336 0.923448 0 0 1 -0.6534728 0.6536827 0.3816704 -0.2719416 0.2717404 0.9231494 -0.7071115 0.7071022 0 -0.7071065 0.707107 -5.87717e-6 -0.7071098 0.7071039 0 -0.6538117 0.6538063 0.3808774 0.6554929 -0.1757012 0.7344782 0.7070749 -0.009545505 0.7070742 0.7070774 0.009478926 0.7070726 -0.1334347 -0.6707078 0.7296205 -0.009346127 -0.7070775 0.7070742 0.009540915 -0.7070757 0.7070734 0.2585631 0.9659943 0 0.9659842 0.2586013 -4.01524e-5 0.9659218 0.258834 0 -0.7070979 0.7071158 4.4977e-6 0.2588292 0.9659232 -4.59329e-5 0 0 1 -0.9659842 -0.2586013 -4.01524e-5 -0.7071115 0.7071021 7.73051e-6 0 0 1 -0.2585648 -0.9659939 0 0 0 1 -0.9659218 -0.258834 0 0 0 1 0.7070945 -0.7071192 4.23136e-6 -0.2588304 -0.9659228 -4.58371e-5 0.7071093 -0.7071043 7.73067e-6 0 0 1 -0.9659943 0.2585631 0 -0.2586013 0.9659842 -4.01524e-5 -0.258834 0.9659218 0 0 0 1 -0.7071158 -0.7070979 4.4977e-6 0 0 1 -0.9659232 0.2588292 -4.59329e-5 0 0 1 0.2586013 -0.9659842 -4.01524e-5 -0.7071021 -0.7071115 7.73051e-6 0.9659939 -0.2585648 0 0 0 1 0.258834 -0.9659218 0 0.7071192 0.7070945 4.23136e-6 0.9659228 -0.2588304 -4.58371e-5 0.7071043 0.7071093 7.73067e-6 -0.2585631 -0.9659943 0 -0.9659842 -0.2586013 -4.01524e-5 -0.9659218 -0.258834 0 0.7070979 -0.7071158 4.4977e-6 -0.2588292 -0.9659232 -4.59329e-5 0 0 1 0.9659842 0.2586013 -4.01524e-5 0.7071115 -0.7071021 7.73051e-6 0 0 1 0.2585648 0.9659939 0 0 0 1 0.9659218 0.258834 0 0 0 1 -0.7070945 0.7071192 4.23136e-6 0.2588304 0.9659228 -4.58371e-5 -0.7071093 0.7071043 7.73067e-6 0 0 1 0.9659943 -0.2585631 0 0.2586013 -0.9659842 -4.01524e-5 0.258834 -0.9659218 0 0 0 1 0.7071158 0.7070979 4.4977e-6 0 0 1 0.9659232 -0.2588292 -4.59329e-5 0 0 1 -0.2586013 0.9659842 -4.01524e-5 0.7071021 0.7071115 7.73051e-6 -0.9659939 0.2585648 0 0 0 1 -0.258834 0.9659218 0 -0.7071192 -0.7070945 4.23136e-6 -0.9659228 0.2588304 -4.58371e-5 -0.7071043 -0.7071093 7.73067e-6 0.1477751 0.6517427 -0.7439044 -0.5000183 0.4999837 0.7071053 -0.4999409 0.5000572 0.7071081 0.2385839 0.6363106 0.733612 -0.1850931 0.6415818 -0.7443878 -0.1029331 0.6835014 0.7226552 0.0763663 0.7267103 0.6826861 -0.4715349 0.4720324 -0.744876 -0.4302149 0.5568829 0.7104904 -0.2814185 0.658973 0.6975373 -0.702255 0.2033645 0.6822615 -0.5564413 0.4308285 0.7104646 -0.7389849 -0.1668249 0.652741 -0.6833933 0.1035968 0.7226627 -0.2810432 0.1203541 -0.9521185 -0.4999638 0.5000287 0.7071121 -0.499972 0.5000201 0.7071124 -0.3141726 -0.03271913 -0.9488019 -0.6364815 -0.237986 0.733658 -0.1477416 -0.6516686 -0.7439761 0.5001033 -0.4998837 0.707116 0.5000277 -0.4999554 0.7071188 -0.2385616 -0.6362398 0.7336806 0.1850804 -0.641312 -0.7446236 0.1029653 -0.6834504 0.722699 -0.07632321 -0.72666 0.6827445 0.4715401 -0.4719114 -0.7449495 0.4303405 -0.5568646 0.7104287 0.2815151 -0.6590036 0.6974693 0.7022232 -0.2032852 0.682318 0.5564759 -0.4307191 0.7105038 0.7389465 0.1668364 0.6527815 0.6833634 -0.1035475 0.7226979 0.2810164 -0.1203147 -0.9521313 0.5000818 -0.4999191 0.707106 0.5000845 -0.4999165 0.7071061 0.3140131 0.03270345 -0.9488552 0.6365101 0.2380002 0.7336286 -0.4999088 0.5001261 0.7070822 -0.5000414 0.4999479 0.7071143 0.3465778 0.924005 0.1615506 0.238178 0.6349897 0.7348873 0.3044198 0.898953 0.3149796 0 0 1 -0.1155048 0.9739013 0.195384 0 0 1 -0.1384947 0.9196109 0.367607 0.1035822 0.9858433 -0.1318472 0 0 1 0 0 1 -0.5334224 0.8458489 4.44584e-4 0 0 1 -0.502839 0.6508867 0.5687701 -0.3908109 0.9150891 -0.09939247 0 0 1 0 0 1 -0.7854686 0.4963459 0.3697023 -0.7907085 0.6121929 8.26304e-6 -0.9426965 0.1126713 0.3140518 0 0 1 -0.9752826 0.1478448 0.1642124 -0.914699 0.3917345 -0.09934717 -0.9268874 -0.3129398 0.2072399 0 0 1 -0.9325356 -0.3126686 0.1805983 -0.8699733 -0.3254048 0.3704837 -0.9859335 -0.1026585 -0.1318954 0 0 1 0 0 1 -0.7071068 0.7071068 0 -0.5000005 0.4999941 0.7071106 -0.6352513 -0.2376093 0.7348453 0.4986896 -0.5017137 0.7068183 0.4998902 -0.5001053 0.7071099 -0.3465692 -0.9240059 0.1615635 -0.2382029 -0.6350723 0.7348079 -0.304419 -0.8989545 0.314976 0 0 1 0.1155092 -0.9739381 0.1951981 0 0 1 0.1385377 -0.9195396 0.3677692 -0.1035386 -0.9858456 -0.1318647 0 0 1 0 0 1 0.495635 -0.7859291 0.3696774 0 0 1 0.3909121 -0.915054 -0.09931635 0 0 1 0 0 1 0.7855002 -0.4963597 0.3696165 0.7907974 -0.6120778 3.0967e-4 0.6114795 -0.7912602 -1.66973e-5 0.9427281 -0.1126751 0.3139555 0 0 1 0.9752582 -0.1477773 0.1644185 0.9147353 -0.3916361 -0.09940075 0.9268908 0.3129423 0.207221 0 0 1 0.9325227 0.3126721 0.1806589 0.8699705 0.3254071 0.3704881 0.9859355 0.1026821 -0.1318612 0 0 1 0 0 1 0.7071188 -0.7070949 8.02807e-6 0.5000097 -0.499985 0.7071105 0.6352947 0.2376281 0.7348017 -0.02893257 0.6924778 0.7208589 0.02943998 0.6993427 0.71418 -0.009336531 -0.7070822 0.7070698 0.009556829 -0.7070682 0.7070809 -0.6923854 -0.0294637 0.7209261 -0.6993259 0.0290777 0.7142113 0.7070798 -0.009535431 0.7070695 0.7070698 0.009494841 0.7070801 0.2596434 0.9657045 0 -0.1957281 -0.717894 0.6680708 0.1882633 -0.7096106 0.6789771 -0.1830754 -0.6807716 0.7092486 -0.1956753 -0.717722 0.6682711 0.5121132 -0.5126171 0.6891762 0.1843581 -0.6899691 0.6999676 0.7094925 -0.1889834 0.6789004 0.6897167 -0.1850309 0.700039 0.5121919 -0.5127065 0.6890512 0.7181619 0.1950377 0.6679849 0.6808351 0.1823559 0.7093729 0.7071098 -0.7071037 7.0247e-6 0.7180145 0.1949926 0.6681564 -0.2596967 -0.9656902 0 0.7069895 -0.7072241 0 -0.5506407 -0.1475529 0.8215978 -0.1475508 -0.5506414 0.8215977 -0.4030975 0.4030921 0.8216016 0.1475502 0.5506417 0.8215977 0.5506398 0.1475526 0.8215985 0.4030962 -0.4030933 0.8216015 0.1475529 -0.5506407 0.8215978 0.5506414 -0.1475508 0.8215977 -0.4030921 -0.4030975 0.8216016 -0.5506417 0.1475502 0.8215977 -0.1475526 0.5506398 0.8215985 0.4030933 0.4030962 0.8216015 0.5506407 0.1475529 0.8215978 0.1475508 0.5506414 0.8215977 0.4030975 -0.4030921 0.8216016 -0.1475502 -0.5506417 0.8215977 -0.5506398 -0.1475526 0.8215985 -0.4030962 0.4030933 0.8216015 -0.1475529 0.5506407 0.8215978 -0.5506414 0.1475508 0.8215977 0.4030921 0.4030975 0.8216016 0.5506417 -0.1475502 0.8215977 0.1475526 -0.5506398 0.8215985 -0.4030933 -0.4030962 0.8216015 1 0 0 0 1 0 1 0 0 0 0.9238801 0.382682 0 0.9238801 0.382682 1 0 0 0 0.9238811 -0.3826796 0 1 0 1 0 0 0 0.3826599 -0.9238893 0 0.9238811 -0.3826796 0 0 -1 0 0.3826599 -0.9238893 1 0 0 0.9238878 -0.3826637 0 1 0 0 0.9238878 -0.3826637 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0.3826988 0.9238731 0 0 1 0 0.3826988 0.9238731 0 -1 0 0.7071081 0 0.7071055 0 -1 0 0.923797 0 0.3828827 0.923797 0 0.3828827 0 -1 0 -0.7070868 0 0.7071267 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071081 0 0.7071055 0 -1 0 -1 0 0 0 -1 0 -0.7070868 0 0.7071267 0 -0.9238783 0.3826865 0 -0.9238783 0.3826865 -1 0 0 -1 0 0 0.7071042 0 0.7071094 1 0 0 1 0 0 0 -1 0 -0.7070848 0 0.7071289 0 -1 0 0.7071042 0 0.7071094 0 -1 0 -0.9237948 0 0.3828879 -0.7070848 0 0.7071289 0 -1 0 -0.3829548 0 0.9237671 -0.9237948 0 0.3828879 0 0 1 -0.3829548 0 0.9237671 0 -1 0 0.3826862 -0.9238784 0 0 -1 0 0 -1 0 0 -1 0 0.3826862 -0.9238784 0 0 0 1 0 0 1 0 0 -1 0 0 -1 -0.3828769 0 -0.9237994 0 0 -1 -0.9237966 0 -0.3828836 -0.3828769 0 -0.9237994 -0.707085 0 -0.7071285 -0.9237966 0 -0.3828836 0 -1 0 0.7071045 0 -0.7071091 -0.707085 0 -0.7071285 0 -1 0 1 0 0 0 -1 0 0 -1 0 0.7071045 0 -0.7071091 0 -0.9238783 -0.3826865 0 -0.9238783 -0.3826865 1 0 0 1 0 0 -1 0 0 -1 0 0 -0.7070835 0 -0.70713 -1 0 0 0 -1 0 0.7071048 0 -0.7071087 -0.7070835 0 -0.70713 0 -1 0 0.9237966 0 -0.3828835 0 -1 0 0.7071048 0 -0.7071087 0.3828887 0 -0.9237945 0.9237966 0 -0.3828835 0.3829544 0 -0.9237673 0.3828887 0 -0.9237945 0 -1 0 0.9237881 0 -0.382904 0.3829544 0 -0.9237673 0 -1 0 1 0 0 0.9237881 0 -0.382904 0 -1 0 0.923769 0 -0.38295 1 0 0 0 -1 0 0.3829699 0 -0.9237608 0.923769 0 -0.38295 0 0 -1 0.3829699 0 -0.9237608 0 -1 0 -0.3826862 -0.9238783 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3826862 -0.9238783 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0.3829823 0 0.9237557 0 0 1 0.9237673 0 0.3829544 0.3829823 0 0.9237557 1 0 0 0.9237673 0 0.3829544 0.9237881 0 0.382904 1 0 0 0.3829439 0 0.9237716 0.9237881 0 0.382904 0.3828867 0 0.9237954 0.3829439 0 0.9237716 0.3828867 0 0.9237954 -1 0 0 0 0 1 0 0.3826988 0.9238731 0 0.3826988 0.9238731 -1 0 0 -0.9238877 -0.3826637 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238877 -0.3826637 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0.3826926 -0.9238757 0 0 -1 0 0.9238812 -0.3826794 0 0.3826926 -0.9238757 0 1 0 0 0.9238812 -0.3826794 0 0.9238801 0.382682 0 1 0 0 0.9238801 0.382682 0 0 -1 0 1 0 0.3826935 0.9238754 0 0.3826935 0.9238754 0 0 0 -1 -0.3826938 0.9238752 0 0 1 0 0 0 -1 -0.9238744 0.382696 0 0 0 -1 -0.3826938 0.9238752 0 0 0 -1 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238744 0.382696 0 0 -0.38269 -0.9238769 0 -0.38269 -0.9238769 -1 0 0 -1 0 0 0 0 -1 1 0 0 0 0 -1 0 0 -1 1 0 0 0.9238746 0.3826951 0 0 0 -1 1 0 0 0.9238746 0.3826951 0 -0.6546646 0.3779715 -0.6546386 -0.6545906 -0.3779295 -0.6547369 -0.6546397 -0.378058 -0.6546137 0 0.7559487 -0.6546308 -0.654516 0.3779953 -0.6547735 0.6545838 0.3779248 -0.6547463 0 0.7559488 -0.6546308 0.6546644 -0.3779721 -0.6546384 0.6546375 0.3780655 -0.6546115 0 -0.7559655 -0.6546115 0.6545286 -0.3779939 -0.6547616 0 -0.7559655 -0.6546115 0 0 1 0 1 0 -0.3826798 0.9238811 0 -0.3826798 0.9238811 0 0 0 1 0.3826798 0.9238811 0 0 1 0 0 0 1 0.9238869 0.3826656 0 0 0 1 0.3826798 0.9238811 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9238869 0.3826656 0 0 0 1 0.9238926 -0.3826518 0 0 0 1 1 0 0 0 0 1 0.3826777 -0.9238818 0 0 0 1 0 0 1 0 0 1 0.9238926 -0.3826518 0 0 -1 0 0.3826777 -0.9238818 0 0 0 1 0.3826541 -0.9238916 0 0 0 1 0 -1 0 0 0 1 0.9238793 -0.3826842 0 0 0 1 0.3826541 -0.9238916 0 0 0 1 1 0 0 0 0 1 0.9238793 -0.3826842 0 0 -0.3826858 0.9238785 0 -0.3826858 0.9238785 1 0 0 1 0 0 -1 0 0 -1 0 0 -0.9238796 -0.3826833 0 -1 0 0 -0.3826526 -0.9238923 0 -0.9238796 -0.3826833 0 0 -1 0 -0.3826526 -0.9238923 0 -0.3826777 -0.9238818 0 0 -1 0 -0.9238926 -0.3826518 0 -0.3826777 -0.9238818 0 0 0 1 -1 0 0 0 0 1 0 0 1 -0.9238926 -0.3826518 0 -0.9238869 0.3826656 0 0 0 1 -1 0 0 -0.9238869 0.3826656 0 0.6546643 0.3779713 0.6546391 0.6545903 -0.3779293 0.6547374 0.6546393 -0.3780578 0.6546142 0 0.7559484 0.6546313 0.6545157 0.3779951 0.654774 -0.6545835 0.3779246 0.6547468 0 0.7559484 0.6546313 -0.654664 -0.3779719 0.6546389 -0.6546372 0.3780652 0.654612 0 -0.7559651 0.654612 -0.6545283 -0.3779937 0.6547622 0 -0.7559651 0.654612 -1 0 0 -1 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 -0.9237207 0.3830667 0 -1 0 0 -0.9237207 0.3830667 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3830643 0.9237217 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3830643 0.9237217 0 0 1 0 0 1 0 0 1 0 0 0.9237226 0.383062 0 0.9237226 0.383062 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3830643 0.9237217 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3830643 0.9237217 0 0 1 0 0 1 0 0 0.9237229 -0.3830614 0 0.9237229 -0.3830614 1 0 0 1 0 0 0.9237207 0.3830667 0 1 0 0 0.9237207 0.3830667 0 0 0 1 0 0 1 0 0.3830681 0.9237201 0 0.3830681 0.9237201 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.3830598 -0.9237235 0 0.3830598 -0.9237235 0 0 1 -0.1955847 -0.7302145 0.6546246 0 0 1 -0.7302496 -0.1955814 0.6545866 0 0 1 -0.730187 -0.1956336 0.6546406 0 0 1 0.5345102 -0.5345109 0.6546732 -0.195672 -0.7302466 0.6545627 0 0 1 0.73025 0.1955789 0.6545867 0 0 1 0 0 1 0 0 1 0.5345132 -0.5344936 0.6546849 0 0 1 0.1955752 0.7302095 0.6546331 0 0 1 0.7301841 0.1956339 0.6546438 0 0 1 -0.5345106 0.5345093 0.6546743 0 0 1 0.1956717 0.7302449 0.6545647 0 0 1 0 0 1 -0.5345126 0.5344969 0.6546826 0 0 1 -0.7302145 0.1955847 0.6546246 0 0 1 -0.1955814 0.7302496 0.6545866 0 0 1 0 0 1 0 0 1 -0.1956336 0.730187 0.6546406 0 0 1 -0.5345109 -0.5345102 0.6546732 -0.7302466 0.195672 0.6545627 0 0 1 0.1955789 -0.73025 0.6545867 0 0 1 -0.5344936 -0.5345132 0.6546849 0 0 1 0.7302095 -0.1955752 0.6546331 0 0 1 0 0 1 0.1956339 -0.7301841 0.6546438 0 0 1 0.5345093 0.5345106 0.6546743 0 0 1 0 0 1 0.7302449 -0.1956717 0.6545647 0 0 1 0 0 1 0.5344969 0.5345126 0.6546826 0 0 1 0.1955847 0.7302145 0.6546246 0 0 1 0.7302496 0.1955814 0.6545866 0 0 1 0.730187 0.1956336 0.6546406 0 0 1 -0.5345102 0.5345109 0.6546732 0.195672 0.7302466 0.6545627 0 0 1 -0.73025 -0.1955789 0.6545867 0 0 1 0 0 1 0 0 1 -0.5345132 0.5344936 0.6546849 0 0 1 -0.1955752 -0.7302095 0.6546331 0 0 1 -0.7301841 -0.1956339 0.6546438 0 0 1 0.5345106 -0.5345093 0.6546743 0 0 1 -0.1956717 -0.7302449 0.6545647 0 0 1 0 0 1 0.5345126 -0.5344969 0.6546826 0 0 1 0.7302145 -0.1955847 0.6546246 0 0 1 0.1955814 -0.7302496 0.6545866 0 0 1 0 0 1 0 0 1 0.1956336 -0.730187 0.6546406 0 0 1 0.5345109 0.5345102 0.6546732 0.7302466 -0.195672 0.6545627 0 0 1 -0.1955789 0.73025 0.6545867 0 0 1 0.5344936 0.5345132 0.6546849 0 0 1 -0.7302095 0.1955752 0.6546331 0 0 1 0 0 1 -0.1956339 0.7301841 0.6546438 0 0 1 -0.5345093 -0.5345106 0.6546743 0 0 1 0 0 1 -0.7302449 0.1956717 0.6545647 0 0 1 0 0 1 -0.5344969 -0.5345126 0.6546826 0 0 1 0.3596081 0.622905 0.6947454 0 0 1 0.623232 0.3597969 0.6943545 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.6228901 0.3596277 0.6947487 2.71566e-6 0.7192194 0.6947832 0 0 1 0.3598196 0.6232225 0.6943512 -0.3597845 0.6232139 0.6943771 2.76155e-6 0.71922 0.6947824 -0.6229069 0.3596057 0.694745 0 0 1 0 0 1 -0.3596252 0.6228921 0.6947483 -0.7192201 -2.71568e-6 0.6947824 -0.6232239 0.3598167 0.6943514 0 0 1 -0.623232 -0.3597969 0.6943545 -0.7192193 -2.75891e-6 0.6947832 0 0 1 -0.3596081 -0.622905 0.6947454 0 0 1 -0.6228901 -0.3596277 0.6947487 -2.71566e-6 -0.7192194 0.6947832 0 0 1 -0.3598197 -0.6232227 0.6943509 0.3597845 -0.6232139 0.6943771 -2.76155e-6 -0.71922 0.6947824 0.6229069 -0.3596057 0.694745 0 0 1 0 0 1 0 0 1 0.3596252 -0.6228921 0.6947483 0.7192201 2.71568e-6 0.6947824 0.6232239 -0.3598167 0.6943514 0 0 1 0 0 1 0.7192193 2.75891e-6 0.6947832 0 0 1 -0.5000016 0.8660246 0 -0.8314619 0.5555819 0 -0.5000016 0.8660244 0 -0.8314619 0.5555819 0 0 0 1 -0.7787915 0.6272829 0 0 0 1 -0.9975801 -0.06011217 -0.03493601 -0.9727036 0.231686 0.01300895 -0.5770657 0.812542 -0.08228355 -0.8130559 0.5818831 -0.01876354 -0.9343538 -0.3563466 0 -0.9486414 -0.3163534 0 -0.9939649 -0.1069601 -0.02436 -0.9726616 -0.2322273 -3.06777e-5 -0.9343554 -0.3563424 -2.98366e-6 -0.9275416 -0.3737201 0 -0.972651 -0.232272 0 -0.6903641 -0.7234621 0 -0.9275416 -0.3737201 0 -0.7200142 -0.6939594 0 -0.6903641 -0.7234621 0 -0.967465 -0.2530049 5.98532e-5 -0.720179 -0.6937882 -9.60396e-5 -0.967465 0.2530049 4.66129e-5 -0.9674733 -0.2529732 4.66133e-5 0 0 1 -0.7200142 0.6939594 -9.61093e-5 -0.9674733 0.2529732 5.98632e-5 -0.6903641 0.7234621 0 -0.7201791 0.6937882 0 0 0 1 -0.9275416 0.3737201 0 -0.6903641 0.7234621 0 0 0 1 -0.9469388 0.3214139 0 0 0 1 0 0 1 -0.9275416 0.3737201 0 0 0 1 -0.800361 0.5995184 3.16839e-6 0 0 1 -0.9469383 0.3214154 -2.41683e-6 0 0 1 -0.8229716 0.5680824 0 -0.8003598 0.5995199 0 0 0 1 -0.9777908 0.2095833 0 -0.8229716 0.5680824 0 0 0 1 -0.9998931 0.01462554 0 0 0 1 -0.9777908 0.2095833 0 0 0 1 -0.9196005 0.3928551 0 -0.9998931 0.01462554 0 -0.379368 0.9252458 0 -0.9196005 0.3928551 0 0 1 0 -0.379368 0.9252458 0 1 5.60299e-5 0 0 1 0 0.9238607 0.3827289 0 1 5.60299e-5 0 0.3826527 0.9238922 0 0.9238607 0.3827289 0 -5.31069e-5 1 0 -5.31069e-5 1 0 0.3826527 0.9238922 0 0.2529965 0.9674672 0 0.6939897 0.7199849 -5.68762e-5 0.2528434 0.9675072 6.40443e-5 0.7234621 0.6903641 0 0.6938884 0.7200825 0 0.3737201 0.9275416 0 0.7234621 0.6903641 0 0.3659867 0.9306201 0 0.3737201 0.9275416 0 0.7071043 0.7071005 0.003529071 0.3847896 0.9202094 0.07177388 0.4764736 0.8790396 0.01619398 0.234111 0.9364303 0.2613238 0.5414035 0.8407629 -2.07068e-4 0.5242732 0.8515502 0 0.5151922 0.8570736 0.001419901 0.5044302 0.8634364 0.005285322 0.9290854 0.3653801 0.05742627 0.7731582 0.6342107 0.001816153 0.840739 0.5414404 -2.06421e-4 0.63198 0.7704387 0.08381778 0.8634374 0.5044285 0.005284488 0.8541059 0.520098 0.001117825 0.9275416 0.3737201 0 0.9701407 0.2425428 0 0.9163798 0.3831741 0.1158689 0.5919198 0.5788295 0.5608806 0.6903641 0.7234621 0 0.9275416 0.3737201 0 0.7200142 0.6939594 0 0.6903641 0.7234621 0 0.967465 0.2530049 5.98532e-5 0.720179 0.6937882 -9.60396e-5 0.967465 -0.2530049 4.66129e-5 0.9674733 0.2529732 4.66133e-5 0 0 1 0.7200142 -0.6939594 -9.61093e-5 0 0 1 0 0 1 0.9674733 -0.2529732 5.98632e-5 0.6903641 -0.7234621 0 0.7201791 -0.6937882 0 0 0 1 0.9275416 -0.3737201 0 0 0 1 0.6903641 -0.7234621 0 0 0 1 0.9306139 -0.3660025 0 0 0 1 0.9275416 -0.3737201 0 0.7070822 -0.7071313 3.39734e-5 0.9306204 -0.365986 3.70184e-5 0.7071049 -0.7071087 -3.30155e-5 0.3659673 -0.9306277 -3.15407e-5 0.3737201 -0.9275416 0 0.3659813 -0.9306222 0 0 0 1 0.7234621 -0.6903641 0 0.3737201 -0.9275416 0 0.6939594 -0.7200142 0 0.7234621 -0.6903641 0 0.2530049 -0.967465 5.98532e-5 0.6937882 -0.720179 -9.60396e-5 -0.2530049 -0.967465 4.66129e-5 0.2529732 -0.9674733 4.66133e-5 -0.6939594 -0.7200142 -9.61093e-5 -0.2529732 -0.9674733 5.98632e-5 -0.7234621 -0.6903641 0 -0.6937882 -0.7201791 0 -0.3737201 -0.9275416 0 -0.7234621 -0.6903641 0 -0.2747589 -0.9615131 0 -0.3737201 -0.9275416 0 -0.4759857 -0.8789783 0.0288918 -0.3857358 -0.9224961 -0.01445633 -0.2423725 -0.9694695 0.03720825 -0.1909306 -0.9816035 0 -0.4798964 -0.8769437 0.02587389 -0.5655421 -0.8247194 0 -0.558668 -0.8293914 1.42815e-4 -0.5422688 -0.8402047 8.17951e-4 -0.5349557 -0.8448801 0 -0.5173864 -0.8557425 0.003997921 -0.5119758 -0.8589536 0.008920907 0.5923704 -0.8056657 0 -0.1909306 -0.9816035 0 0.8660227 -0.5000045 0 0.8660243 -0.5000019 0 0.8660202 -0.5000089 2.85011e-6 0.5923704 -0.8056657 0 -0.7071067 -0.7071069 0 -0.7071067 -0.7071069 0 -0.9469283 -0.3214448 0 -0.9469283 -0.3214448 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1904461 -0.3298619 -0.9246196 0.1908522 -0.3315955 -0.9239155 0 0 -1 -0.9589496 -0.2077251 0.1930434 -0.8470684 -0.4890298 -0.2081463 -0.8423307 -0.51583 -0.1561997 -0.9402471 0.2764989 0.198705 0 0 -1 0 0 -1 -0.9765271 -2.40678e-5 -0.2153949 0 0 -1 -0.6927524 0.6927561 0.200457 -0.8449912 0.4878836 -0.2189967 0 0 -1 -0.2764924 0.940249 0.1987049 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4878833 0.8449907 -0.218999 0 0 -1 0.2077275 0.9589498 0.1930405 0 0 -1 0 0 -1 0 0 -1 2.40678e-5 0.9765271 -0.2153949 0.3313508 -0.1913058 -0.9239095 0.5549008 0.7642263 -0.3286992 0.3300218 -0.1899008 -0.9246748 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9659323 -0.2587951 0 -0.258823 -0.9659249 0 -0.258823 -0.9659249 0 -0.7071172 0.7070964 0 -0.9659323 -0.2587951 0 0.258823 0.9659249 0 -0.7071172 0.7070964 0 0.965932 0.2587964 0 0.258823 0.9659249 0 0.7071198 -0.7070938 0 0.965932 0.2587964 0 0.7071198 -0.7070938 0 0.2587951 -0.9659323 0 0.9659249 -0.258823 0 0.9659249 -0.258823 0 -0.7070964 -0.7071172 0 0.2587951 -0.9659323 0 -0.9659249 0.258823 0 -0.7070964 -0.7071172 0 -0.2587964 0.965932 0 -0.9659249 0.258823 0 0.7070938 0.7071198 0 -0.2587964 0.965932 0 0.7070938 0.7071198 0 0 0 -1 -0.2587951 0.9659323 0 0 0 -1 -0.9659249 0.258823 0 0 0 -1 0 0 -1 0 0 -1 -0.9659249 0.258823 0 0 0 -1 0.7070964 0.7071172 0 0 0 -1 -0.2587951 0.9659323 0 0 0 -1 0.9659249 -0.258823 0 0.7070964 0.7071172 0 0 0 -1 0.2587964 -0.965932 0 0 0 -1 0 0 -1 0.9659249 -0.258823 0 0 0 -1 -0.7070938 -0.7071198 0 0 0 -1 0 0 -1 0.2587964 -0.965932 0 -0.7070938 -0.7071198 0 0 0 -1 0.9659323 0.2587951 0 0 0 -1 0.258823 0.9659249 0 0 0 -1 0.258823 0.9659249 0 0 0 -1 0.7071172 -0.7070964 0 0.9659323 0.2587951 0 0 0 -1 -0.258823 -0.9659249 0 0 0 -1 0 0 -1 0.7071172 -0.7070964 0 0 0 -1 -0.965932 -0.2587964 0 0 0 -1 -0.258823 -0.9659249 0 0 0 -1 -0.7071198 0.7070938 0 0 0 -1 -0.965932 -0.2587964 0 0 0 -1 0 0 -1 0 0 -1 -0.7071198 0.7070938 0 0 0 -1 0 0 -1 0 0 -1 -0.190333 0.3296669 -0.9247125 -0.1873171 0.3178594 -0.9294502 0.9589498 0.2077275 0.1930405 0 0 -1 0 0 -1 0.8470684 0.4890298 -0.2081463 0.8489153 0.4563856 -0.2665615 0.8805752 0.4734063 -0.02176201 0 0 -1 0.940249 -0.2764924 0.1987048 0 0 -1 0.9765271 2.40678e-5 -0.2153949 0 0 -1 0.6927561 -0.6927524 0.200457 0 0 -1 0.8449907 -0.4878833 -0.218999 0.2764989 -0.9402471 0.198705 0 0 -1 0 0 -1 0.4878836 -0.8449912 -0.2189967 0 0 -1 -0.2077251 -0.9589496 0.1930434 0 0 -1 -2.40678e-5 -0.9765271 -0.2153949 -0.3313508 0.1913058 -0.9239095 -0.5547738 -0.7644268 -0.3284474 -0.3298553 0.1897248 -0.9247702 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660243 -0.500002 2.61425e-4 -0.8660411 -0.4999728 0 -0.500002 -0.8660243 0 -1 -3.83824e-6 -2.98045e-5 -1 0 -5.96052e-5 -0.8660265 0.4999982 0 -0.8660411 0.4999728 2.27696e-4 -0.4999982 0.8660265 2.27511e-4 -0.4999728 0.8660411 0 3.83824e-6 1 -5.96028e-5 0 1 -2.98026e-5 0.500002 0.8660243 0 0.4999728 0.866041 2.61195e-4 0.8660411 0.4999728 0 0.8660243 0.500002 2.61425e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4999728 -0.866041 2.61195e-4 0 0 -1 0 0 -1 1 3.83824e-6 -2.98045e-5 1 0 -5.96052e-5 0.8660265 -0.4999982 0 0.8660411 -0.4999728 2.27696e-4 0.4999982 -0.8660265 2.27511e-4 0.4999728 -0.8660411 0 -3.83824e-6 -1 -5.96028e-5 0 -1 -2.98026e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4999806 -0.8660366 0 -0.8135922 -0.5798119 -0.04342854 -0.7933529 -0.608762 0 -0.83257 -0.5522444 -0.04304981 -0.8186448 -0.5734831 -0.03062558 -0.7697051 -0.6383997 0 -0.5266083 -0.7881126 -0.3186882 -0.4228942 -0.9028182 -0.07797312 -0.548632 -0.625603 -0.5546384 0.4999806 0.8660366 0 0.751844 0.6593411 0 0.8262372 0.5520828 -0.1119664 0.5527529 0.7678256 -0.3238953 0.7696788 0.6384313 2.23813e-5 0 0 -1 0.7517595 0.6592671 0.01498973 0.8326157 0.5538135 -0.006465256 -0.3535512 0.612367 -0.7071126 0 0 -1 0 0 -1 0.6380336 0.7691993 -0.03529459 0 0 -1 0.6896092 0.716804 -0.1031077 0.6016261 0.7987778 2.22824e-5 0 0 -1 0 0 -1 0.5542574 0.8323156 -0.007025837 0.6123731 -0.3535537 -0.707106 0 0 -1 0 0 -1 0.5163539 0.8563754 0 0.6123741 -0.353555 -0.7071046 0.8660266 -0.499998 0 0.6123731 -0.3535519 -0.707107 0.7994186 -0.4615421 -0.3845891 0.8660266 -0.499998 0 0.7998022 -0.4624064 -0.3827489 0.4620163 -0.7991999 -0.3844742 0.499998 -0.8660266 0 0.461924 -0.8000802 -0.3827505 0.3535635 -0.6123768 -0.707098 0.3535721 -0.6123794 -0.7070914 0.499998 -0.8660266 0 0.3535438 -0.6123592 -0.707123 0.3535503 -0.6123673 -0.7071127 -0.7696788 -0.6384313 2.23813e-5 0 0 -1 -0.6383957 -0.7696358 0.01056581 0 0 -1 -0.6593411 -0.7518439 2.24368e-5 0 0 -1 -0.5529386 -0.8332043 -0.005423307 -0.6123726 0.3535534 -0.7071068 -0.5555658 -0.83145 -0.006125569 0 0 -1 -0.5163654 -0.8563684 0 -0.6123744 0.3535559 -0.7071039 -0.5163654 -0.8563684 0 -0.8660266 0.499998 0 -0.6123731 0.3535519 -0.707107 -0.4921933 -0.870486 0 -0.7993282 0.4614898 -0.3848397 -0.8660266 0.499998 0 0.8314656 0.5555763 0 0.8314656 0.5555763 0 0.8482511 0.529372 -0.01534897 0.870494 0.492179 0 -0.4999989 0.8660261 0 -0.4777186 0.7898528 -0.3846005 -0.4885475 0.8461913 -0.2127946 -0.3535605 0.6123784 -0.7070981 -0.3535528 0.6123714 -0.7071079 -0.5 0.8660255 -1.6138e-6 -0.799764 0.4624726 -0.3827487 -0.4036753 0.7022826 -0.5863833 -0.6116664 0.3547298 -0.7071287 0.8578038 0.5139772 0 -0.6189952 0.4135894 -0.6676741 -0.7049385 -0.2392704 -0.6676911 -0.6189773 0.4135999 -0.6676841 0 0 -1 -0.4999998 -0.5000028 -0.707105 -0.7049422 -0.2393 -0.6676767 -0.4999972 -0.4999974 -0.7071106 0 0 -1 0.6121876 -0.3538601 -0.7071135 0 0 -1 0.5628367 0.8265681 0 0 0 -1 0 0 -1 0.997244 -0.07419067 -3.69896e-4 0 0 -1 0 0 -1 0.9972461 -0.07416301 0 -0.4344022 0.9007189 1.83916e-4 0.5628514 0.8265581 -2.38752e-4 0 0 -1 -0.9972441 0.07419073 -3.69896e-4 0 0 -1 -0.4344022 0.9007191 1.84179e-4 0 0 -1 -0.5628354 -0.826569 0 0 0 -1 0 0 -1 0 0 -1 -0.9972462 0.07416307 0 0.4343999 -0.9007201 1.83915e-4 -0.5628502 -0.826559 -2.38373e-4 0 0 -1 0.4343999 -0.9007201 1.83801e-4 -0.9007255 -0.4343887 0 -0.07416635 -0.9972459 0 -0.9007255 -0.4343887 0 -0.826565 0.5628414 0 -0.826565 0.5628414 0 0.07416635 0.9972459 0 0.07416635 0.9972459 0 0.900727 0.4343857 0 0.900727 0.4343857 0 0.8265625 -0.5628449 0 0.8265625 -0.5628449 0 -0.07416635 -0.9972459 0 -0.4254732 -0.6248176 0.6546568 -0.7333336 -0.04158437 0.678596 -0.7916219 0.0588712 0.6081685 0.3505153 -0.7267869 0.5906943 -0.5550714 -0.6218239 0.552477 0.038899 -0.6854557 0.7270744 0.791621 -0.05887109 0.6081697 0.5121942 -0.4571796 0.7270791 0.7333332 0.0415861 0.6785964 0.4254737 0.6248162 0.6546578 -0.66593 -0.7460142 0 -0.9440706 0.3297433 0 -0.8874645 -0.05032449 0.4581202 0.05036187 -0.8874471 0.4581497 0.7460366 -0.6659051 2.4235e-5 -0.3297197 -0.9440789 2.4461e-5 0.887464 0.05032658 0.4581209 0.944068 -0.3297511 0 0.66593 0.7460142 0 0.5550704 0.6218227 0.5524794 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.329742 0.9440711 -2.358e-6 -0.05035549 0.887449 0.4581471 0 0 1 0.3297444 0.9440703 0 0.9440708 -0.3297426 0 0.9440708 -0.3297426 0 -0.9440714 0.3297411 0 0.3297444 0.9440703 0 -0.3297401 -0.9440717 0 -0.9440714 0.3297411 0 -0.3297401 -0.9440717 0 -0.7460215 0.665922 5.33484e-6 0 0 1 0 0 1 -0.3505175 0.7267869 0.590693 -0.03889393 0.6854544 0.7270759 -0.5121884 0.4571954 0.7270731 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0.9972441 -0.07419067 0 0 0 1 0 0 1 0.5628367 0.8265681 2.38294e-4 0 0 1 0 0 1 0.5628514 0.8265581 0 0.4343999 -0.9007201 -1.83958e-4 0.997246 -0.07416301 3.69876e-4 0 0 1 -0.5628353 -0.826569 2.38293e-4 0 0 1 0.4343999 -0.9007201 -1.84181e-4 0 0 1 -0.997244 0.07419073 0 0 0 1 0 0 1 0 0 1 -0.5628502 -0.826559 0 -0.4344022 0.9007191 -1.83956e-4 -0.997246 0.07416307 3.69971e-4 0 0 1 -0.4344022 0.900719 -1.84181e-4 -0.9007255 -0.4343888 0 -0.8265649 0.5628414 0 -0.9007255 -0.4343888 0 -0.07416635 -0.9972459 0 -0.07416635 -0.9972459 0 0.8265625 -0.562845 0 0.8265625 -0.562845 0 0.900727 0.4343857 0 0.900727 0.4343857 0 0.07416635 0.9972459 0 0.07416635 0.9972459 0 -0.8265649 0.5628414 0 -0.753845 0.05606186 -0.6546563 -0.4891283 -0.5479505 -0.6786044 -0.4467978 -0.6561332 -0.6081619 -0.350517 0.7267857 -0.5906948 -0.8321719 -0.04718911 -0.5525063 -0.5121872 0.4571942 -0.7270747 0.446798 0.6561315 -0.6081637 -0.03889387 0.6854528 -0.7270776 0.4891279 0.5479501 -0.678605 0.753845 -0.0560618 -0.6546562 -0.9983961 -0.05661499 0 -0.3297197 -0.9440789 0 -0.591924 -0.6631084 -0.4581627 -0.663123 0.5919241 -0.4581417 -0.05665075 0.9983941 -4.05113e-7 -0.9440706 0.3297433 -6.77547e-6 0.5919302 0.6631152 -0.4581452 0.329742 0.9440711 0 0.9983959 0.05661731 0 0.8321732 0.04719114 -0.5525041 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.944068 -0.3297511 -1.61102e-5 0.6631449 -0.5919168 -0.4581193 0 0 -1 0.9440709 -0.3297426 0 0.3297444 0.9440702 0 0.3297444 0.9440702 0 -0.3297401 -0.9440718 0 0.9440709 -0.3297426 0 -0.9440714 0.3297411 0 -0.3297401 -0.9440718 0 -0.9440714 0.3297411 0 0.05665802 -0.9983936 -2.87421e-5 0 0 -1 0 0 -1 0.3505147 -0.7267857 -0.5906962 0.5121929 -0.4571784 -0.7270807 0.03889894 -0.6854541 -0.7270761 0 0 1 0 0 1 0 0 1 0 0 1 4.24244e-5 0.8910061 0.4539915 1 0 0 0 0.8910117 0.4539802 0 0.4539897 0.8910069 1 0 0 1 0 0 -1.34626e-4 0.9876872 -0.1564415 1 0 0 -7.78396e-5 0.9876899 -0.1564247 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1.13731e-4 0.7071057 -0.7071079 1 0 0 1.12151e-4 0.7071053 -0.7071082 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -9.33735e-5 0.1564381 -0.9876877 1 0 0 -1.22189e-4 0.1564296 -0.9876891 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.4539868 -0.8910084 1 0 0 2.11587e-5 -0.4539812 -0.8910112 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.8910112 -0.4539814 2.95919e-5 -0.8910071 -0.4539893 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 3.38544e-5 0.4539807 0.8910115 -1 0 0 -1 0 0 -7.34289e-5 -0.9876902 0.1564233 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 9.36207e-5 -0.7071048 0.7071088 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.38721e-4 -0.9876871 0.1564427 -1 0 0 -1.34076e-4 -0.1564249 0.9876898 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1.05189e-4 -0.7071072 0.7071064 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -7.94519e-5 -0.156441 0.9876872 0 -0.3826959 0.9238744 -1 0 0 0 -0.923878 0.382687 0 -0.923878 0.382687 0 0.3826797 0.9238811 0 -0.3826959 0.9238744 0 0.9238749 0.3826946 0 0.3826797 0.9238811 0 0.9238818 -0.3826779 0 0.9238749 0.3826946 0 0.3826696 -0.9238852 0 0.9238818 -0.3826779 -1 0 0 0 -0.3826858 -0.9238786 0 0.3826696 -0.9238852 -1 0 0 0 -0.9238849 -0.3826704 -1 0 0 0 -0.3826858 -0.9238786 0 -0.9238849 -0.3826704 -1 0 0 0 -0.9238765 0.3826905 -1 0 0 0 -0.9238834 -0.3826738 0 -0.9238834 -0.3826738 0 -0.3826859 0.9238786 0 -0.9238765 0.3826905 0 0.3826859 0.9238786 0 -0.3826859 0.9238786 0 0.9238765 0.3826905 0 0.3826859 0.9238786 0 0.9238834 -0.3826738 0 0.9238765 0.3826905 -1 0 0 0 0.382696 -0.9238743 0 0.9238834 -0.3826738 -1 0 0 0 -0.382696 -0.9238743 -1 0 0 0 0.382696 -0.9238743 0 -0.382696 -0.9238743 -1 0 0 0 -0.9238818 -0.3826779 -1 0 0 0 -0.3826696 -0.9238852 0 -0.3826696 -0.9238852 -1 0 0 0 -0.9238749 0.3826946 -1 0 0 0 -0.9238818 -0.3826779 -1 0 0 0 -0.3826797 0.9238811 0 -0.9238749 0.3826946 -1 0 0 0 0.3826959 0.9238744 0 -0.3826797 0.9238811 -1 0 0 0 0.923878 0.382687 0 0.3826959 0.9238744 -1 0 0 0 0.9238849 -0.3826704 -1 0 0 0 0.923878 0.382687 -1 0 0 0 0.3826858 -0.9238786 -1 0 0 0 0.9238849 -0.3826704 0 0.3826858 -0.9238786 0 -0.3826243 -0.923904 0 0.3826405 -0.9238973 0 0.3826405 -0.9238973 0 -0.9238896 -0.3826591 0 -0.3826243 -0.923904 0 -0.9238767 0.3826904 0 -0.9238896 -0.3826591 -1 0 0 0 -0.3826948 0.9238749 0 -0.9238767 0.3826904 -1 0 0 0 0.3827109 0.9238681 0 -0.3826948 0.9238749 -1 0 0 0 0.9238741 0.3826967 -1 0 0 0 0.3827109 0.9238681 -1 0 0 0 0.923887 -0.3826654 0 0.9238741 0.3826967 -1 0 0 0 0.923887 -0.3826654 0 0.3827009 -0.9238724 -1 0 0 0 0.923878 -0.382687 0 0.923878 -0.382687 0 -0.3826847 -0.923879 0 0.3827009 -0.9238724 0 -0.9238749 -0.3826946 0 -0.3826847 -0.923879 0 -0.9238749 0.3826946 0 -0.9238749 -0.3826946 0 -0.3826948 0.9238749 0 -0.9238749 0.3826946 -1 0 0 0 0.3827109 0.9238681 0 -0.3826948 0.9238749 -1 0 0 0 0.923878 0.382687 -1 0 0 0 0.3827109 0.9238681 0 0.923878 0.382687 -1 0 0 0 0.9238887 -0.3826613 -1 0 0 0 0.9238765 0.3826905 0 0.9238765 0.3826905 0 0.3826406 -0.9238973 0 0.9238887 -0.3826613 0 -0.3826406 -0.9238973 0 0.3826406 -0.9238973 0 -0.9238887 -0.3826613 0 -0.3826406 -0.9238973 0 -0.9238765 0.3826905 0 -0.9238887 -0.3826613 -1 0 0 0 -0.3827111 0.9238681 0 -0.9238765 0.3826905 -1 0 0 0 0.3827111 0.9238681 -1 0 0 0 -0.3827111 0.9238681 0 0.3827111 0.9238681 -1 0 0 0 0.9238749 0.3826946 -1 0 0 0 0.3826948 0.9238749 0 0.3826948 0.9238749 -1 0 0 0 0.9238749 -0.3826946 -1 0 0 0 0.9238749 0.3826946 -1 0 0 0 0.3826847 -0.923879 0 0.9238749 -0.3826946 -1 0 0 0 -0.3827009 -0.9238724 0 0.3826847 -0.923879 -1 0 0 0 -0.923878 -0.382687 0 -0.3827009 -0.9238724 -1 0 0 0 -0.923878 0.382687 -1 0 0 0 -0.923878 -0.382687 -1 0 0 0 -0.3827109 0.9238681 -1 0 0 0 -0.923878 0.382687 0 -0.3827109 0.9238681 0 0.3826948 0.9238749 0 -0.3827109 0.9238681 0 -0.3827109 0.9238681 0 0.9238767 0.3826904 0 0.3826948 0.9238749 0 0.9238896 -0.3826591 0 0.9238767 0.3826904 -1 0 0 0 0.3826243 -0.923904 0 0.9238896 -0.3826591 -1 0 0 0 -0.3826405 -0.9238973 0 0.3826243 -0.923904 -1 0 0 0 -0.923887 -0.3826654 -1 0 0 0 -0.3826405 -0.9238973 -1 0 0 0 -0.9238741 0.3826967 0 -0.923887 -0.3826654 -1 0 0 0 -0.9238741 0.3826967 -0.6947639 -0.3596057 -0.6228859 -0.6949177 -0.6227566 -0.3595324 -0.694756 -0.6228858 -0.3596211 -0.7039493 -0.09268212 -0.7041772 -0.6949154 -0.3595425 -0.6227535 0.9223682 0.05044203 -0.3830047 -0.6947345 0.3596394 -0.6228992 -0.6950461 -1.07621e-5 -0.7189652 -0.6948674 0.6227875 -0.359576 -0.6948675 0.3595665 -0.622793 -0.7042399 0.7038842 -0.09269881 -0.694701 0.6229331 -0.3596455 0.9222589 0.3832674 0.05044406 -0.694954 0.6227273 0.3595131 -0.694562 0.7194328 6.73067e-6 -0.694706 0.3596318 0.6229354 -0.6947232 0.6229117 0.3596397 -0.7040073 0.09267294 0.7041202 -0.6949675 0.3595225 0.6227068 0.9223469 -0.05044335 0.3830557 -0.6946521 -0.3596842 0.6229652 -0.6949529 3.31305e-6 0.7190553 -0.6948679 -0.6227856 0.3595786 -0.6948675 -0.3595662 0.6227931 -0.7042399 -0.7038846 0.09269744 -0.6947006 -0.6229319 0.3596484 0.9222604 -0.3832639 -0.05044358 -0.694562 -0.7194328 -6.73067e-6 0 0.5000028 0.8660238 0 0.8660228 0.5000048 -2.22345e-5 0.8660246 0.5000014 -3.08295e-5 0.5000073 0.8660212 -1 0 0 -1 0 0 -1 0 0 0 9.21175e-6 1 -1 0 0 2.70925e-5 4.6059e-6 1 -1 0 0 3.99426e-5 -0.4999961 0.8660276 -1 0 0 4.089e-5 -0.4999963 0.8660277 -1 0 0 4.57192e-5 -0.8660269 0.4999975 -1 0 0 3.859e-5 -0.8660263 0.4999985 -1 0 0 -1 0 0 0 -1 -1.39615e-5 -1 0 0 -1 0 0 0 -0.866023 -0.5000042 -1 0 0 -4.44687e-5 -0.8660268 -0.4999977 2.70918e-5 -1 -9.35568e-6 0 -0.4999954 -0.866028 -1 0 0 -1 0 0 -5.42922e-5 -0.5000034 -0.8660234 0 0.4999996 0.8660256 0 0.8660281 0.4999953 0 0.8660281 0.4999953 0 4.18718e-6 1 0 0.4999996 0.8660256 0 -0.5000046 0.8660228 0 4.18718e-6 1 0 -0.8660227 0.5000048 0 -0.5000046 0.8660228 0 -1 -4.18716e-6 0 -0.8660227 0.5000048 0 -0.8660273 -0.4999967 0 -1 -4.18716e-6 -1 0 0 0 -0.4999996 -0.8660256 0 -0.8660273 -0.4999967 -1 0 0 0 0 -1 -1 0 0 0 -0.4999996 -0.8660256 -1 0 0 0 0.5000014 -0.8660246 -1 0 0 0 0 -1 -1 0 0 0 0.8660237 -0.500003 0 0.5000014 -0.8660246 -1 0 0 0 1 4.18719e-6 -1 0 0 0 0.8660237 -0.500003 -1 0 0 0 1 4.18719e-6 0 1 1.39616e-5 2.70922e-5 1 9.35568e-6 4.5719e-5 0.8660283 -0.499995 5.46072e-5 0.4999987 -0.8660262 4.72788e-5 0.8660284 -0.4999948 0 -1.49691e-5 -1 4.06344e-5 0.4999967 -0.8660274 0 -1.49692e-5 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -4.24244e-5 -0.8910061 0.4539915 -1 0 0 0 -0.8910117 0.4539802 0 -0.4539897 0.8910069 -1 0 0 -1 0 0 1.34626e-4 -0.9876872 -0.1564415 -1 0 0 7.78396e-5 -0.9876899 -0.1564247 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.13731e-4 -0.7071057 -0.7071079 -1 0 0 -1.12151e-4 -0.7071053 -0.7071082 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 9.33735e-5 -0.1564381 -0.9876877 -1 0 0 1.22189e-4 -0.1564296 -0.9876891 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.4539868 -0.8910084 -1 0 0 -2.11587e-5 0.4539812 -0.8910112 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8910112 -0.4539814 -2.95919e-5 0.8910071 -0.4539893 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -3.38544e-5 -0.4539807 0.8910115 1 0 0 1 0 0 7.34289e-5 0.9876902 0.1564233 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -9.36207e-5 0.7071048 0.7071088 1 0 0 1 0 0 1 0 0 1 0 0 1.38721e-4 0.9876871 0.1564427 1 0 0 1.34076e-4 0.1564249 0.9876898 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1.05189e-4 0.7071072 0.7071064 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 7.94519e-5 0.156441 0.9876872 0 0.3826959 0.9238744 1 0 0 0 0.923878 0.382687 0 0.923878 0.382687 0 -0.3826797 0.9238811 0 0.3826959 0.9238744 0 -0.9238749 0.3826946 0 -0.3826797 0.9238811 0 -0.9238818 -0.3826779 0 -0.9238749 0.3826946 0 -0.3826696 -0.9238852 0 -0.9238818 -0.3826779 1 0 0 0 0.3826858 -0.9238786 0 -0.3826696 -0.9238852 1 0 0 0 0.9238849 -0.3826704 1 0 0 0 0.3826858 -0.9238786 0 0.9238849 -0.3826704 1 0 0 0 0.9238765 0.3826905 1 0 0 0 0.9238834 -0.3826738 0 0.9238834 -0.3826738 0 0.3826859 0.9238786 0 0.9238765 0.3826905 0 -0.3826859 0.9238786 0 0.3826859 0.9238786 0 -0.9238765 0.3826905 0 -0.3826859 0.9238786 0 -0.9238834 -0.3826738 0 -0.9238765 0.3826905 1 0 0 0 -0.382696 -0.9238743 0 -0.9238834 -0.3826738 1 0 0 0 0.382696 -0.9238743 1 0 0 0 -0.382696 -0.9238743 0 0.382696 -0.9238743 1 0 0 0 0.9238818 -0.3826779 1 0 0 0 0.3826696 -0.9238852 0 0.3826696 -0.9238852 1 0 0 0 0.9238749 0.3826946 1 0 0 0 0.9238818 -0.3826779 1 0 0 0 0.3826797 0.9238811 0 0.9238749 0.3826946 1 0 0 0 -0.3826959 0.9238744 0 0.3826797 0.9238811 1 0 0 0 -0.923878 0.382687 0 -0.3826959 0.9238744 1 0 0 0 -0.9238849 -0.3826704 1 0 0 0 -0.923878 0.382687 1 0 0 0 -0.3826858 -0.9238786 1 0 0 0 -0.9238849 -0.3826704 0 -0.3826858 -0.9238786 0 0.3826243 -0.923904 0 -0.3826405 -0.9238973 0 -0.3826405 -0.9238973 0 0.9238896 -0.3826591 0 0.3826243 -0.923904 0 0.9238767 0.3826904 0 0.9238896 -0.3826591 1 0 0 0 0.3826948 0.9238749 0 0.9238767 0.3826904 1 0 0 0 -0.3827109 0.9238681 0 0.3826948 0.9238749 1 0 0 0 -0.9238741 0.3826967 1 0 0 0 -0.3827109 0.9238681 1 0 0 0 -0.923887 -0.3826654 0 -0.9238741 0.3826967 1 0 0 0 -0.923887 -0.3826654 0 -0.3827009 -0.9238724 1 0 0 0 -0.923878 -0.382687 0 -0.923878 -0.382687 0 0.3826847 -0.923879 0 -0.3827009 -0.9238724 0 0.9238749 -0.3826946 0 0.3826847 -0.923879 0 0.9238749 0.3826946 0 0.9238749 -0.3826946 0 0.3826948 0.9238749 0 0.9238749 0.3826946 1 0 0 0 -0.3827109 0.9238681 0 0.3826948 0.9238749 1 0 0 0 -0.923878 0.382687 1 0 0 0 -0.3827109 0.9238681 0 -0.923878 0.382687 1 0 0 0 -0.9238887 -0.3826613 1 0 0 0 -0.9238765 0.3826905 0 -0.9238765 0.3826905 0 -0.3826406 -0.9238973 0 -0.9238887 -0.3826613 0 0.3826406 -0.9238973 0 -0.3826406 -0.9238973 0 0.9238887 -0.3826613 0 0.3826406 -0.9238973 0 0.9238765 0.3826905 0 0.9238887 -0.3826613 1 0 0 0 0.3827111 0.9238681 0 0.9238765 0.3826905 1 0 0 0 -0.3827111 0.9238681 1 0 0 0 0.3827111 0.9238681 0 -0.3827111 0.9238681 1 0 0 0 -0.9238749 0.3826946 1 0 0 0 -0.3826948 0.9238749 0 -0.3826948 0.9238749 1 0 0 0 -0.9238749 -0.3826946 1 0 0 0 -0.9238749 0.3826946 1 0 0 0 -0.3826847 -0.923879 0 -0.9238749 -0.3826946 1 0 0 0 0.3827009 -0.9238724 0 -0.3826847 -0.923879 1 0 0 0 0.923878 -0.382687 0 0.3827009 -0.9238724 1 0 0 0 0.923878 0.382687 1 0 0 0 0.923878 -0.382687 1 0 0 0 0.3827109 0.9238681 1 0 0 0 0.923878 0.382687 0 0.3827109 0.9238681 0 -0.3826948 0.9238749 0 0.3827109 0.9238681 0 0.3827109 0.9238681 0 -0.9238767 0.3826904 0 -0.3826948 0.9238749 0 -0.9238896 -0.3826591 0 -0.9238767 0.3826904 1 0 0 0 -0.3826243 -0.923904 0 -0.9238896 -0.3826591 1 0 0 0 0.3826405 -0.9238973 0 -0.3826243 -0.923904 1 0 0 0 0.923887 -0.3826654 1 0 0 0 0.3826405 -0.9238973 1 0 0 0 0.9238741 0.3826967 0 0.923887 -0.3826654 1 0 0 0 0.9238741 0.3826967 0.6947639 0.3596057 -0.6228859 0.6949177 0.6227566 -0.3595324 0.694756 0.6228858 -0.3596211 0.7039493 0.09268212 -0.7041772 0.6949154 0.3595425 -0.6227535 -0.9223682 -0.05044203 -0.3830047 0.6947345 -0.3596394 -0.6228992 0.6950461 1.07621e-5 -0.7189652 0.6948674 -0.6227875 -0.359576 0.6948675 -0.3595665 -0.622793 0.7042399 -0.7038842 -0.09269881 0.694701 -0.6229331 -0.3596455 -0.9222589 -0.3832674 0.05044406 0.694954 -0.6227273 0.3595131 0.694562 -0.7194328 6.73067e-6 0.694706 -0.3596318 0.6229354 0.6947232 -0.6229117 0.3596397 0.7040073 -0.09267294 0.7041202 0.6949675 -0.3595225 0.6227068 -0.9223469 0.05044335 0.3830557 0.6946521 0.3596842 0.6229652 0.6949529 -3.31305e-6 0.7190553 0.6948679 0.6227856 0.3595786 0.6948675 0.3595662 0.6227931 0.7042399 0.7038846 0.09269744 0.6947006 0.6229319 0.3596484 -0.9222604 0.3832639 -0.05044358 0.694562 0.7194328 -6.73067e-6 0 -0.5000028 0.8660238 0 -0.8660228 0.5000048 2.22345e-5 -0.8660246 0.5000014 3.08295e-5 -0.5000073 0.8660212 1 0 0 1 0 0 1 0 0 0 -9.21175e-6 1 1 0 0 -2.70925e-5 -4.6059e-6 1 1 0 0 -3.99426e-5 0.4999961 0.8660276 1 0 0 -4.089e-5 0.4999963 0.8660277 1 0 0 -4.57192e-5 0.8660269 0.4999975 1 0 0 -3.859e-5 0.8660263 0.4999985 1 0 0 1 0 0 0 1 -1.39615e-5 1 0 0 1 0 0 0 0.866023 -0.5000042 1 0 0 4.44687e-5 0.8660268 -0.4999977 -2.70918e-5 1 -9.35568e-6 0 0.4999954 -0.866028 1 0 0 1 0 0 5.42922e-5 0.5000034 -0.8660234 0 -0.4999996 0.8660256 0 -0.8660281 0.4999953 0 -0.8660281 0.4999953 0 -4.18718e-6 1 0 -0.4999996 0.8660256 0 0.5000046 0.8660228 0 -4.18718e-6 1 0 0.8660227 0.5000048 0 0.5000046 0.8660228 0 1 -4.18716e-6 0 0.8660227 0.5000048 0 0.8660273 -0.4999967 0 1 -4.18716e-6 1 0 0 0 0.4999996 -0.8660256 0 0.8660273 -0.4999967 1 0 0 0 0 -1 1 0 0 0 0.4999996 -0.8660256 1 0 0 0 -0.5000014 -0.8660246 1 0 0 0 0 -1 1 0 0 0 -0.8660237 -0.500003 0 -0.5000014 -0.8660246 1 0 0 0 -1 4.18719e-6 1 0 0 0 -0.8660237 -0.500003 1 0 0 0 -1 4.18719e-6 0 -1 1.39616e-5 -2.70922e-5 -1 9.35568e-6 -4.5719e-5 -0.8660283 -0.499995 -5.46072e-5 -0.4999987 -0.8660262 -4.72788e-5 -0.8660284 -0.4999948 0 1.49691e-5 -1 -4.06344e-5 -0.4999967 -0.8660274 0 1.49692e-5 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 -0.9972442 0.07418954 0 0 0 1 0 0 1 -0.5628167 -0.8265815 5.28211e-4 0 0 1 0 0 1 -0.5628495 -0.8265594 0 -0.4343959 0.900722 -3.62922e-4 -0.997246 0.07416301 3.55094e-4 0 0 1 0.5628288 0.8265734 3.63986e-4 0 0 1 -0.4344014 0.9007194 -2.81196e-4 0 0 1 0.997244 -0.07419067 0 0 0 1 0 0 1 0 0 1 0.5628514 0.8265581 0 0.4343937 -0.9007231 -1.95145e-4 0.997246 -0.07416307 3.69021e-4 0 0 1 0.4343999 -0.9007201 -1.02322e-4 0.900727 0.4343857 0 0.8265625 -0.5628449 0 0.900727 0.4343857 0 0.07416635 0.9972459 0 0.07416635 0.9972459 0 -0.8265641 0.5628426 0 -0.8265641 0.5628426 0 -0.900726 -0.4343878 0 -0.900726 -0.4343878 0 -0.07416635 -0.9972459 0 -0.07416635 -0.9972459 0 0.8265625 -0.5628449 0 0.7538564 -0.05606269 -0.654643 0.4891362 0.5479595 -0.6785914 0.4468042 0.6561405 -0.6081493 0.3505191 -0.7267947 -0.5906826 0.8321821 0.0471915 -0.5524906 0.5122021 -0.4571881 -0.7270682 -0.4468033 -0.6561424 -0.6081478 0.03890138 -0.6854674 -0.7270634 -0.4891367 -0.547958 -0.6785923 -0.7538564 0.05606263 -0.6546429 0.998396 0.0566172 0 0.329723 0.9440777 0 0.5919217 0.6631057 -0.4581698 0.6631392 -0.5919136 -0.4581317 0.05666041 -0.9983935 -2.89848e-5 0.9440669 -0.3297539 -2.01361e-5 -0.5919218 -0.6631034 -0.4581733 -0.3297207 -0.9440785 0 -0.998396 -0.05661731 0 -0.8321822 -0.04719161 -0.5524906 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9440672 0.3297531 -2.01406e-5 -0.6631431 0.5919113 -0.4581291 0 0 -1 -0.9440716 0.3297406 0 -0.3297444 -0.9440702 0 -0.3297444 -0.9440702 0 0.3297444 0.9440702 0 -0.9440716 0.3297406 0 0.9440716 -0.3297406 0 0.3297444 0.9440702 0 0.9440716 -0.3297406 0 -0.05665314 0.998394 -2.89847e-5 0 0 -1 0 0 -1 -0.3505206 0.7267947 -0.5906816 -0.5122041 0.4571854 -0.7270684 -0.03889626 0.6854661 -0.7270649 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.07418954 0.9972442 0 0 0 1 0 0 1 -0.8265815 0.5628167 5.28211e-4 0 0 1 0 0 1 -0.8265594 0.5628495 0 0.900722 0.4343959 -3.62922e-4 0.07416301 0.997246 3.55094e-4 0 0 1 0.8265734 -0.5628288 3.63986e-4 0 0 1 0.9007194 0.4344014 -2.81196e-4 0 0 1 -0.07419067 -0.997244 0 0 0 1 0 0 1 0 0 1 0.8265581 -0.5628514 0 -0.9007231 -0.4343937 -1.95145e-4 -0.07416307 -0.997246 3.69021e-4 0 0 1 -0.9007201 -0.4343999 -1.02322e-4 0.4343857 -0.900727 0 -0.5628449 -0.8265625 0 0.4343857 -0.900727 0 0.9972459 -0.07416635 0 0.9972459 -0.07416635 0 0.5628426 0.8265641 0 0.5628426 0.8265641 0 -0.4343878 0.900726 0 -0.4343878 0.900726 0 -0.9972459 0.07416635 0 -0.9972459 0.07416635 0 -0.5628449 -0.8265625 0 -0.05606269 -0.7538564 -0.654643 0.5479595 -0.4891362 -0.6785914 0.6561405 -0.4468042 -0.6081493 -0.7267947 -0.3505191 -0.5906826 0.0471915 -0.8321821 -0.5524906 -0.4571881 -0.5122021 -0.7270682 -0.6561424 0.4468033 -0.6081478 -0.6854674 -0.03890138 -0.7270634 -0.547958 0.4891367 -0.6785923 0.05606263 0.7538564 -0.6546429 0.0566172 -0.998396 0 0.9440777 -0.329723 0 0.6631057 -0.5919217 -0.4581698 -0.5919136 -0.6631392 -0.4581317 -0.9983935 -0.05666041 -2.89848e-5 -0.3297539 -0.9440669 -2.01361e-5 -0.6631034 0.5919218 -0.4581733 -0.9440785 0.3297207 0 -0.05661731 0.998396 0 -0.04719161 0.8321822 -0.5524906 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3297531 0.9440672 -2.01406e-5 0.5919113 0.6631431 -0.4581291 0 0 -1 0.3297406 0.9440716 0 -0.9440702 0.3297444 0 -0.9440702 0.3297444 0 0.9440702 -0.3297444 0 0.3297406 0.9440716 0 -0.3297406 -0.9440716 0 0.9440702 -0.3297444 0 -0.3297406 -0.9440716 0 0.998394 0.05665314 -2.89847e-5 0 0 -1 0 0 -1 0.7267947 0.3505206 -0.5906816 0.4571854 0.5122041 -0.7270684 0.6854661 0.03889626 -0.7270649 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.07419401 0.9972438 0 0 0 1 0 0 1 -0.8265727 0.5628298 5.03209e-4 0 0 1 0 0 1 -0.8265516 0.562861 0 0.9007229 0.434394 -1.84609e-4 0.07416659 0.9972458 3.66753e-4 0 0 1 0.8265726 -0.56283 4.99714e-4 0 0 1 0.9007196 0.434401 -7.99628e-5 0 0 1 -0.07419121 -0.997244 0 0 0 1 0 0 1 0 0 1 0.8265516 -0.562861 0 -0.9007234 -0.4343931 -1.81913e-4 -0.07416331 -0.997246 3.73006e-4 0 0 1 -0.9007202 -0.4343998 -8.26153e-5 0.4344049 -0.9007177 0 -0.5628713 -0.8265446 0 0.4344049 -0.9007177 0 0.9972458 -0.07416683 0 0.9972458 -0.07416683 0 0.5628668 0.8265476 0 0.5628668 0.8265476 0 -0.4343996 0.9007202 0 -0.4343996 0.9007202 0 -0.9972458 0.07416683 0 -0.9972458 0.07416683 0 -0.5628713 -0.8265446 0 -0.05606198 -0.7538446 -0.6546568 0.5479786 -0.4891164 -0.6785902 0.6561201 -0.4468014 -0.6081734 -0.7267864 -0.3505149 -0.5906953 0.04722112 -0.8321925 -0.5524725 -0.4572007 -0.5121833 -0.7270736 -0.6561201 0.4468014 -0.6081734 -0.6854468 -0.03887045 -0.7270844 -0.5479747 0.4891177 -0.6785925 0.05606436 0.7538429 -0.6546584 0.05665194 -0.998394 0 0.9440765 -0.3297265 0 0.6631471 -0.5919139 -0.4581198 -0.5919287 -0.6631136 -0.4581493 -0.998396 -0.05661725 -2.8503e-5 -0.3297463 -0.9440696 -9.37871e-6 -0.6631383 0.5919118 -0.4581353 -0.9440785 0.3297209 0 -0.05665922 0.9983936 0 -0.0472275 0.832197 -0.5524653 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3297622 0.944064 -3.62092e-5 0.5919283 0.6631118 -0.4581524 0 0 -1 0.3297444 0.9440702 0 -0.9440715 0.3297408 0 -0.9440715 0.3297408 0 0.9440715 -0.3297408 0 0.3297444 0.9440702 0 -0.3297444 -0.9440702 0 0.9440715 -0.3297408 0 -0.3297444 -0.9440702 0 0.9983959 0.05661731 -3.011e-5 0 0 -1 0 0 -1 0.7267862 0.3505161 -0.5906948 0.4572022 0.5121841 -0.727072 0.6854468 0.03887051 -0.7270844 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9972438 0.07419401 0 0 0 1 0 0 1 -0.5628298 -0.8265727 5.03209e-4 0 0 1 0 0 1 -0.562861 -0.8265516 0 -0.434394 0.9007229 -1.84609e-4 -0.9972458 0.07416659 3.66753e-4 0 0 1 0.56283 0.8265726 4.99714e-4 0 0 1 -0.434401 0.9007196 -7.99628e-5 0 0 1 0.997244 -0.07419121 0 0 0 1 0 0 1 0 0 1 0.562861 0.8265516 0 0.4343931 -0.9007234 -1.81913e-4 0.997246 -0.07416331 3.73006e-4 0 0 1 0.4343998 -0.9007202 -8.26153e-5 0.9007177 0.4344049 0 0.8265446 -0.5628713 0 0.9007177 0.4344049 0 0.07416683 0.9972458 0 0.07416683 0.9972458 0 -0.8265476 0.5628668 0 -0.8265476 0.5628668 0 -0.9007202 -0.4343996 0 -0.9007202 -0.4343996 0 -0.07416683 -0.9972458 0 -0.07416683 -0.9972458 0 0.8265446 -0.5628713 0 0.7538446 -0.05606198 -0.6546568 0.4891164 0.5479786 -0.6785902 0.4468014 0.6561201 -0.6081734 0.3505149 -0.7267864 -0.5906953 0.8321925 0.04722112 -0.5524725 0.5121833 -0.4572007 -0.7270736 -0.4468014 -0.6561201 -0.6081734 0.03887045 -0.6854468 -0.7270844 -0.4891177 -0.5479747 -0.6785925 -0.7538429 0.05606436 -0.6546584 0.998394 0.05665194 0 0.3297265 0.9440765 0 0.5919139 0.6631471 -0.4581198 0.6631136 -0.5919287 -0.4581493 0.05661725 -0.998396 -2.8503e-5 0.9440696 -0.3297463 -9.37871e-6 -0.5919118 -0.6631383 -0.4581353 -0.3297209 -0.9440785 0 -0.9983936 -0.05665922 0 -0.832197 -0.0472275 -0.5524653 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.944064 0.3297622 -3.62092e-5 -0.6631118 0.5919283 -0.4581524 0 0 -1 -0.9440702 0.3297444 0 -0.3297408 -0.9440715 0 -0.3297408 -0.9440715 0 0.3297408 0.9440715 0 -0.9440702 0.3297444 0 0.9440702 -0.3297444 0 0.3297408 0.9440715 0 0.9440702 -0.3297444 0 -0.05661731 0.9983959 -3.011e-5 0 0 -1 0 0 -1 -0.3505161 0.7267862 -0.5906948 -0.5121841 0.4572022 -0.727072 -0.03887051 0.6854468 -0.7270844 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.07419401 -0.9972438 0 0 0 1 0 0 1 0.8265727 -0.5628298 5.03209e-4 0 0 1 0 0 1 0.8265516 -0.562861 0 -0.9007229 -0.434394 -1.84609e-4 -0.07416659 -0.9972458 3.66753e-4 0 0 1 -0.8265726 0.56283 4.99714e-4 0 0 1 -0.9007196 -0.434401 -7.99628e-5 0 0 1 0.07419121 0.997244 0 0 0 1 0 0 1 0 0 1 -0.8265516 0.562861 0 0.9007234 0.4343931 -1.81913e-4 0.07416331 0.997246 3.73006e-4 0 0 1 0.9007202 0.4343998 -8.26153e-5 -0.4344049 0.9007177 0 0.5628713 0.8265446 0 -0.4344049 0.9007177 0 -0.9972458 0.07416683 0 -0.9972458 0.07416683 0 -0.5628668 -0.8265476 0 -0.5628668 -0.8265476 0 0.4343996 -0.9007202 0 0.4343996 -0.9007202 0 0.9972458 -0.07416683 0 0.9972458 -0.07416683 0 0.5628713 0.8265446 0 0.05606198 0.7538446 -0.6546568 -0.5479786 0.4891164 -0.6785902 -0.6561201 0.4468014 -0.6081734 0.7267864 0.3505149 -0.5906953 -0.04722112 0.8321925 -0.5524725 0.4572007 0.5121833 -0.7270736 0.6561201 -0.4468014 -0.6081734 0.6854468 0.03887045 -0.7270844 0.5479747 -0.4891177 -0.6785925 -0.05606436 -0.7538429 -0.6546584 -0.05665194 0.998394 0 -0.9440765 0.3297265 0 -0.6631471 0.5919139 -0.4581198 0.5919287 0.6631136 -0.4581493 0.998396 0.05661725 -2.8503e-5 0.3297463 0.9440696 -9.37871e-6 0.6631383 -0.5919118 -0.4581353 0.9440785 -0.3297209 0 0.05665922 -0.9983936 0 0.0472275 -0.832197 -0.5524653 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3297622 -0.944064 -3.62092e-5 -0.5919283 -0.6631118 -0.4581524 0 0 -1 -0.3297444 -0.9440702 0 0.9440715 -0.3297408 0 0.9440715 -0.3297408 0 -0.9440715 0.3297408 0 -0.3297444 -0.9440702 0 0.3297444 0.9440702 0 -0.9440715 0.3297408 0 0.3297444 0.9440702 0 -0.9983959 -0.05661731 -3.011e-5 0 0 -1 0 0 -1 -0.7267862 -0.3505161 -0.5906948 -0.4572022 -0.5121841 -0.727072 -0.6854468 -0.03887051 -0.7270844 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9972438 -0.07419401 0 0 0 1 0 0 1 0.5628298 0.8265727 5.03209e-4 0 0 1 0 0 1 0.562861 0.8265516 0 0.434394 -0.9007229 -1.84609e-4 0.9972458 -0.07416659 3.66753e-4 0 0 1 -0.56283 -0.8265726 4.99714e-4 0 0 1 0.434401 -0.9007196 -7.99628e-5 0 0 1 -0.997244 0.07419121 0 0 0 1 0 0 1 0 0 1 -0.562861 -0.8265516 0 -0.4343931 0.9007234 -1.81913e-4 -0.997246 0.07416331 3.73006e-4 0 0 1 -0.4343998 0.9007202 -8.26153e-5 -0.9007177 -0.4344049 0 -0.8265446 0.5628713 0 -0.9007177 -0.4344049 0 -0.07416683 -0.9972458 0 -0.07416683 -0.9972458 0 0.8265476 -0.5628668 0 0.8265476 -0.5628668 0 0.9007202 0.4343996 0 0.9007202 0.4343996 0 0.07416683 0.9972458 0 0.07416683 0.9972458 0 -0.8265446 0.5628713 0 -0.7538446 0.05606198 -0.6546568 -0.4891164 -0.5479786 -0.6785902 -0.4468014 -0.6561201 -0.6081734 -0.3505149 0.7267864 -0.5906953 -0.8321925 -0.04722112 -0.5524725 -0.5121833 0.4572007 -0.7270736 0.4468014 0.6561201 -0.6081734 -0.03887045 0.6854468 -0.7270844 0.4891177 0.5479747 -0.6785925 0.7538429 -0.05606436 -0.6546584 -0.998394 -0.05665194 0 -0.3297265 -0.9440765 0 -0.5919139 -0.6631471 -0.4581198 -0.6631136 0.5919287 -0.4581493 -0.05661725 0.998396 -2.8503e-5 -0.9440696 0.3297463 -9.37871e-6 0.5919118 0.6631383 -0.4581353 0.3297209 0.9440785 0 0.9983936 0.05665922 0 0.832197 0.0472275 -0.5524653 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.944064 -0.3297622 -3.62092e-5 0.6631118 -0.5919283 -0.4581524 0 0 -1 0.9440702 -0.3297444 0 0.3297408 0.9440715 0 0.3297408 0.9440715 0 -0.3297408 -0.9440715 0 0.9440702 -0.3297444 0 -0.9440702 0.3297444 0 -0.3297408 -0.9440715 0 -0.9440702 0.3297444 0 0.05661731 -0.9983959 -3.011e-5 0 0 -1 0 0 -1 0.3505161 -0.7267862 -0.5906948 0.5121841 -0.4572022 -0.727072 0.03887051 -0.6854468 -0.7270844 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9972442 -0.07418954 0 0 0 1 0 0 1 0.5628167 0.8265815 5.28211e-4 0 0 1 0 0 1 0.5628495 0.8265594 0 0.4343959 -0.900722 -3.62922e-4 0.997246 -0.07416301 3.55094e-4 0 0 1 -0.5628288 -0.8265734 3.63986e-4 0 0 1 0.4344014 -0.9007194 -2.81196e-4 0 0 1 -0.997244 0.07419067 0 0 0 1 0 0 1 0 0 1 -0.5628514 -0.8265581 0 -0.4343937 0.9007231 -1.95145e-4 -0.997246 0.07416307 3.69021e-4 0 0 1 -0.4343999 0.9007201 -1.02322e-4 -0.900727 -0.4343857 0 -0.8265625 0.5628449 0 -0.900727 -0.4343857 0 -0.07416635 -0.9972459 0 -0.07416635 -0.9972459 0 0.8265641 -0.5628426 0 0.8265641 -0.5628426 0 0.900726 0.4343878 0 0.900726 0.4343878 0 0.07416635 0.9972459 0 0.07416635 0.9972459 0 -0.8265625 0.5628449 0 -0.7538564 0.05606269 -0.654643 -0.4891362 -0.5479595 -0.6785914 -0.4468042 -0.6561405 -0.6081493 -0.3505191 0.7267947 -0.5906826 -0.8321821 -0.0471915 -0.5524906 -0.5122021 0.4571881 -0.7270682 0.4468033 0.6561424 -0.6081478 -0.03890138 0.6854674 -0.7270634 0.4891367 0.547958 -0.6785923 0.7538564 -0.05606263 -0.6546429 -0.998396 -0.0566172 0 -0.329723 -0.9440777 0 -0.5919217 -0.6631057 -0.4581698 -0.6631392 0.5919136 -0.4581317 -0.05666041 0.9983935 -2.89848e-5 -0.9440669 0.3297539 -2.01361e-5 0.5919218 0.6631034 -0.4581733 0.3297207 0.9440785 0 0.998396 0.05661731 0 0.8321822 0.04719161 -0.5524906 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9440672 -0.3297531 -2.01406e-5 0.6631431 -0.5919113 -0.4581291 0 0 -1 0.9440716 -0.3297406 0 0.3297444 0.9440702 0 0.3297444 0.9440702 0 -0.3297444 -0.9440702 0 0.9440716 -0.3297406 0 -0.9440716 0.3297406 0 -0.3297444 -0.9440702 0 -0.9440716 0.3297406 0 0.05665314 -0.998394 -2.89847e-5 0 0 -1 0 0 -1 0.3505206 -0.7267947 -0.5906816 0.5122041 -0.4571854 -0.7270684 0.03889626 -0.6854661 -0.7270649 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.07418954 -0.9972442 0 0 0 1 0 0 1 0.8265815 -0.5628167 5.28211e-4 0 0 1 0 0 1 0.8265594 -0.5628495 0 -0.900722 -0.4343959 -3.62922e-4 -0.07416301 -0.997246 3.55094e-4 0 0 1 -0.8265734 0.5628288 3.63986e-4 0 0 1 -0.9007194 -0.4344014 -2.81196e-4 0 0 1 0.07419067 0.997244 0 0 0 1 0 0 1 0 0 1 -0.8265581 0.5628514 0 0.9007231 0.4343937 -1.95145e-4 0.07416307 0.997246 3.69021e-4 0 0 1 0.9007201 0.4343999 -1.02322e-4 -0.4343857 0.900727 0 0.5628449 0.8265625 0 -0.4343857 0.900727 0 -0.9972459 0.07416635 0 -0.9972459 0.07416635 0 -0.5628426 -0.8265641 0 -0.5628426 -0.8265641 0 0.4343878 -0.900726 0 0.4343878 -0.900726 0 0.9972459 -0.07416635 0 0.9972459 -0.07416635 0 0.5628449 0.8265625 0 0.05606269 0.7538564 -0.654643 -0.5479595 0.4891362 -0.6785914 -0.6561405 0.4468042 -0.6081493 0.7267947 0.3505191 -0.5906826 -0.0471915 0.8321821 -0.5524906 0.4571881 0.5122021 -0.7270682 0.6561424 -0.4468033 -0.6081478 0.6854674 0.03890138 -0.7270634 0.547958 -0.4891367 -0.6785923 -0.05606263 -0.7538564 -0.6546429 -0.0566172 0.998396 0 -0.9440777 0.329723 0 -0.6631057 0.5919217 -0.4581698 0.5919136 0.6631392 -0.4581317 0.9983935 0.05666041 -2.89848e-5 0.3297539 0.9440669 -2.01361e-5 0.6631034 -0.5919218 -0.4581733 0.9440785 -0.3297207 0 0.05661731 -0.998396 0 0.04719161 -0.8321822 -0.5524906 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3297531 -0.9440672 -2.01406e-5 -0.5919113 -0.6631431 -0.4581291 0 0 -1 -0.3297406 -0.9440716 0 0.9440702 -0.3297444 0 0.9440702 -0.3297444 0 -0.9440702 0.3297444 0 -0.3297406 -0.9440716 0 0.3297406 0.9440716 0 -0.9440702 0.3297444 0 0.3297406 0.9440716 0 -0.998394 -0.05665314 -2.89847e-5 0 0 -1 0 0 -1 -0.7267947 -0.3505206 -0.5906816 -0.4571854 -0.5122041 -0.7270684 -0.6854661 -0.03889626 -0.7270649 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7071068 -0.7071068 0 0 0 1 0 0 1 1 0 0 0 0 1 0.7071068 -0.7071068 0 0 -1 0 0 -1 0 0 0 1 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 0 0 1 -1 0 0 0 0 1 0 0 1 0 0 1 -1 0 0 0 0 1 -0.7071068 0.7071068 0 0 0 1 0 0 1 -0.7071068 0.7071068 0 0 1 0 0 1 0 0 0 1 0.7071068 0.7071068 0 0.7071068 0.7071068 0 0 0 1 0 0 1 0 0 1 1 0 0 0.7460897 -0.6658454 0 0.05653697 -0.9984005 5.55841e-5 0.05637645 -0.9984095 0 0.998389 0.05674016 -3.25976e-5 0.7461919 -0.665731 5.30105e-5 0.6659967 0.7459547 2.0635e-5 0.9983803 0.05689328 2.03761e-5 -0.05653697 0.9984005 5.55841e-5 0.6661137 0.7458502 -3.3563e-5 -0.7460897 0.6658454 0 -0.05637645 0.9984095 0 -0.998389 -0.05674016 -3.25976e-5 -0.7461919 0.665731 5.30277e-5 -0.6659967 -0.7459547 2.0635e-5 -0.9983803 -0.05689328 2.03761e-5 -0.6661137 -0.7458502 -3.3563e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 -0.8660436 -0.4999684 1 0 0 7.94406e-5 -0.8660445 0.4999668 0 -0.8660197 0.5000099 1 0 0 -2.04887e-4 0 -1 7.94375e-5 -0.8660188 -0.5000114 1 0 0 5.20131e-5 0.8660355 -0.4999825 1 0 0 1 0 0 -2.04887e-4 0 -1 1 0 0 0 0.8660364 0.4999811 1 0 0 0 0.8660192 -0.5000107 1 0 0 -2.04887e-4 0 1 1 0 0 5.20108e-5 0.8660201 0.5000092 1 0 0 1 0 0 -2.04887e-4 0 1 0 -0.8660355 -0.4999825 5.20135e-5 -0.8660364 0.4999811 0 -0.8660201 0.5000092 1 0 0 -2.04887e-4 0 -1 5.2011e-5 -0.8660192 -0.5000107 1 0 0 7.94401e-5 0.8660436 -0.4999684 1 0 0 1 0 0 -2.04887e-4 0 -1 1 0 0 0 0.8660445 0.4999668 0 0.8660188 -0.5000114 1 0 0 -2.04887e-4 0 1 7.94373e-5 0.8660197 0.5000099 -2.04887e-4 0 1 1 0 0 0 -0.8660445 -0.4999668 1 0 0 7.94401e-5 -0.8660436 0.4999684 1 0 0 1 0 0 0 -0.8660188 0.5000114 1 0 0 -2.04887e-4 0 -1 7.94373e-5 -0.8660197 -0.5000099 1 0 0 5.20135e-5 0.8660364 -0.4999811 1 0 0 1 0 0 1 0 0 -2.04887e-4 0 -1 1 0 0 0 0.8660355 0.4999825 1 0 0 0 0.8660201 -0.5000092 1 0 0 -2.04887e-4 0 1 1 0 0 5.2011e-5 0.8660192 0.5000107 1 0 0 1 0 0 -2.04887e-4 0 1 0 -0.8660364 -0.4999811 5.20131e-5 -0.8660355 0.4999825 0 -0.8660192 0.5000107 1 0 0 -2.04887e-4 0 -1 5.20108e-5 -0.8660201 -0.5000092 1 0 0 7.94406e-5 0.8660445 -0.4999668 1 0 0 1 0 0 -2.04887e-4 0 -1 1 0 0 0 0.8660436 0.4999684 0 0.8660197 -0.5000099 1 0 0 -2.04887e-4 0 1 1 0 0 7.94375e-5 0.8660188 0.5000114 -2.04887e-4 0 1 1 0 0 0 1 0 1 0 0 0 0.9238733 -0.3826982 0 1 0 0 0.9238733 -0.3826982 1 0 0 0 0.9238733 0.3826982 1 0 0 0 0.3826915 0.9238762 0 0.9238733 0.3826982 1 0 0 0 0 1 1 0 0 0 0.3826915 0.9238762 1 0 0 0 -0.3826915 0.9238762 1 0 0 0 0 1 1 0 0 0 -0.9238733 0.3826982 1 0 0 0 -0.3826915 0.9238762 1 0 0 0 -1 0 0 -1 0 0 -0.9238733 0.3826982 1 0 0 0 -0.9238733 -0.3826982 1 0 0 0 -0.3826988 -0.9238733 0 -0.9238733 -0.3826982 1 0 0 0 0 -1 0 -0.3826988 -0.9238733 1 0 0 0 0.3826988 -0.9238733 1 0 0 0 0 -1 1 0 0 0 0.3826988 -0.9238733 1 0 0 0 0 -1 1 0 0 0 -0.3827086 -0.9238691 0 -0.3827086 -0.9238691 1 0 0 0 0.3827086 -0.9238691 1 0 0 0 0 -1 1 0 0 0 0.9238685 -0.38271 0 0.3827086 -0.9238691 1 0 0 0 1 0 1 0 0 0 1 0 0 0.9238685 -0.38271 1 0 0 0 0.9238685 0.38271 1 0 0 0 0.3827086 0.9238691 0 0.9238685 0.38271 0 0 1 0 0.3827086 0.9238691 0 -0.3827086 0.9238691 0 0 1 0 -0.9238685 0.38271 0 -0.3827086 0.9238691 1 0 0 0 -1 0 1 0 0 0 -1 0 0 -0.9238685 0.38271 1 0 0 0 -0.9238685 -0.38271 0 -0.9238685 -0.38271 0 -1 0 0 -0.9238812 -0.3826794 0 -0.9238812 -0.3826794 0 -0.9238702 0.382706 0 -1 0 1 0 0 0 -0.3827005 0.9238724 1 0 0 0 -0.9238702 0.382706 0 0 1 0 -0.3827005 0.9238724 0 0.3827005 0.9238724 0 0 1 0 0.9238702 0.382706 0 0.3827005 0.9238724 0 1 0 0 0.9238702 0.382706 0 0.9238812 -0.3826794 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0.3826788 -0.9238814 1 0 0 1 0 0 1 0 0 0 0.9238812 -0.3826794 0 0 -1 0 0.3826788 -0.9238814 1 0 0 0 0.3826988 -0.9238731 1 0 0 0 0 -1 1 0 0 -0.01689308 0.9237439 -0.382638 1 0 0 0.008513331 0.7070812 -0.7070812 -0.02497279 0.258724 -0.9656284 0 1 0 -0.0159983 0.9264035 -0.3761923 0 1 0 0 0.9920856 -0.1255638 1 0 0 0 0.9238792 -0.3826842 1 0 0 5.41183e-7 0.3826503 -0.9238933 1 0 0 -5.5134e-6 0.923857 -0.3827379 0 0 -1 0 0 -1 0 0 -1 0 0.3826451 -0.9238954 0 -0.3826503 -0.9238932 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 3.90649e-6 -0.9238793 -0.3826842 -4.20739e-6 -0.3826913 -0.9238762 0 -1 0 0 -1 0 0 -0.923895 -0.3826462 0 -1 0 0 -1 0 0 -1 0 0 -0.9238757 -0.3826926 -0.01689261 -0.3826442 -0.9237413 0.008513331 -0.7070812 -0.7070812 -0.01734209 -0.9264427 -0.3760362 -0.05254036 -0.9931659 -0.1042168 0 0 -1 0 -0.2588047 -0.9659296 0 -0.3826788 -0.9238814 0 0 -1 0 -0.3826788 -0.9238814 -1 0 0 0 -0.8660262 0.4999985 -1 0 0 -1.04851e-4 -0.8660257 -0.4999996 -1 0 0 0 -0.8659694 -0.5000969 -1 0 0 2.82502e-5 0 1 -1 0 0 -1.05773e-4 -0.8659695 0.5000967 -1 0 0 -1.06455e-4 0.8660264 0.4999984 -1 0 0 -1 0 0 2.82502e-5 0 1 -1 0 0 0 0.8660257 -0.4999994 -1 0 0 0 0.8659693 0.5000972 -1 0 0 3.01129e-5 0 -1 -1 0 0 -1.05512e-4 0.8659691 -0.5000973 -1 0 0 -1 0 0 3.01129e-5 0 -1 0 -0.8660264 0.4999984 -1.05523e-4 -0.8660257 -0.4999994 0 -0.8659691 -0.5000973 -1 0 0 2.82502e-5 0 1 -1.06449e-4 -0.8659693 0.5000972 -1 0 0 -1.05782e-4 0.8660262 0.4999985 -1 0 0 -1 0 0 2.82502e-5 0 1 -1 0 0 0 0.8660257 -0.4999996 -1 0 0 0 0.8659695 0.5000967 -1 0 0 3.01129e-5 0 -1 -1 0 0 -1.0484e-4 0.8659695 -0.5000969 3.01129e-5 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9884126 0 0.1517915 -0.9919906 -0.001782178 0.1262987 -1 0 0 0.01284021 0.6764292 0.7363958 -0.02500569 0 0.9996873 -0.2174869 0.2184036 0.9513146 -1 0 0 -0.2230925 0.9379037 0.2656436 -1 0 0 -1 0 0 0 0.8660262 -0.4999985 -1 0 0 0 0.8659694 0.5000969 -1 0 0 2.82502e-5 0 -1 -1.05772e-4 0.8659695 -0.5000967 -1 0 0 -1.06455e-4 -0.8660264 -0.4999984 -1 0 0 -1 0 0 2.82502e-5 0 -1 -1 0 0 0 -0.9621522 0.2725128 -1 0 0 0 -0.8659693 -0.5000972 -1 0 0 0.01284021 -0.6764292 0.7363958 -1 0 0 -0.1237596 -0.8593118 0.4962527 -0.9884126 0 0.1517915 -0.9884126 0 0.1517916 -0.01366066 -0.2309731 0.9728643 0.01284021 0.6764292 0.7363958 -0.02500569 0 0.9996873 -0.2174827 0.2183988 0.9513165 -0.2230921 0.9379034 0.2656447 0 0.8660264 -0.4999984 0 0.8659691 0.5000973 -1 0 0 2.82502e-5 0 -1 -1.06444e-4 0.8659693 -0.5000972 -1 0 0 -1.05782e-4 -0.8660262 -0.4999985 2.82502e-5 0 -1 -1 0 0 0 -0.9621526 0.2725117 0 -0.8659695 -0.5000967 -1 0 0 0.01284021 -0.6764292 0.7363958 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.1237598 -0.8593121 0.4962522 -0.9919008 0 0.1270148 -0.01366043 -0.2309785 0.9728629 -0.9893709 0.001554369 0.1454059 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9237692 0 -0.3829495 0.9237679 -3.28091e-5 0.382953 0.9238663 0 0.3827154 0.3824192 1.11771e-5 -0.9239889 0.923866 -3.22508e-5 -0.3827161 -0.3824412 -2.2144e-5 -0.9239798 0.3826605 -2.21418e-5 -0.923889 -0.9237706 -3.91214e-5 -0.3829462 -0.382662 8.31115e-6 -0.9238885 -0.9237692 0 0.3829497 -0.923888 0 -0.3826629 -0.3824504 6.9489e-6 0.9239761 -0.9238884 -3.97057e-5 0.3826622 0.3824284 -2.9602e-5 0.9239852 -0.3827152 -2.95982e-5 0.9238665 0.3827137 9.78234e-6 0.9238669 -0.4999824 -0.8660356 0 0 0 -1 0.4999944 -0.8660286 0 0 0 -1 0.4999944 -0.8660286 0 -1 0 0 -0.4999824 -0.8660356 0 -0.5000032 0.8660236 0 -1 0 0 0 0 -1 0.5000152 0.8660166 0 -0.5000032 0.8660236 0 0 0 -1 1 0 0 0 0 -1 0.5000152 0.8660166 0 0 0 -1 1 0 0 0 0 -1 -0.4999821 -0.8660358 0 0 0 -1 0.4999941 -0.8660288 0 0 0 -1 0.4999941 -0.8660288 0 -1 0 0 -0.4999821 -0.8660358 0 -0.500003 0.8660236 0 -1 0 0 0.5000151 0.8660168 0 -0.500003 0.8660236 0 0 0 -1 1 0 0 0.5000151 0.8660168 0 0 0 -1 1 0 0 0.4999941 0.8660288 0 -0.4999821 0.8660358 0 -0.4999821 0.8660358 0 0 0 -1 1 0 0 0.4999941 0.8660288 0 0 0 -1 0.5000151 -0.8660168 0 1 0 0 0 0 -1 -0.500003 -0.8660236 0 0 0 -1 0 0 -1 0.5000151 -0.8660168 0 -1 0 0 -0.500003 -0.8660236 0 -1 0 0 0.4999944 0.8660286 0 -0.4999824 0.8660356 0 -0.4999824 0.8660356 0 0 0 -1 1 0 0 0.4999944 0.8660286 0 0 0 -1 0.5000152 -0.8660166 0 1 0 0 -0.5000032 -0.8660236 0 0.5000152 -0.8660166 0 -1 0 0 -0.5000032 -0.8660236 0 -1 0 0 -0.1932691 0 -0.9811458 -0.193383 0.3754294 -0.9064522 -0.1933284 1.62763e-6 -0.9811341 -0.2563667 -0.3699114 -0.8929958 -0.1892334 -0.4579449 -0.8686064 -0.3827688 -0.9238441 0 -0.1909856 -0.980089 0.05431348 -0.1933829 -0.9064518 -0.3754304 0 0 1 0 0 1 0 0 1 -0.2587925 0 0.9659329 0 0 1 -0.7071302 0 0.7070834 -0.2587925 0 0.9659329 -0.7071302 0 0.7070834 -0.9256097 0 0.3784795 0 1 0 -0.1933284 0.981134 0 0 0 1 -0.3827688 0.9238439 6.6919e-4 -0.5465778 0.8357914 0.05201435 0 1 0 0 1 0 -0.2563495 0.8929814 -0.3699582 -0.1892875 0.8686173 -0.4579021 -0.9154396 0 0.4024556 -0.9255498 -0.001330494 0.3786234 -0.4643324 0.008652627 0.8856188 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -0.9807253 0 -0.1953914 -1 0 0 -0.980725 -0.1953933 0 -0.9735371 -0.1615954 -0.1615934 -0.9807254 0 -0.1953914 -0.9238458 0.3827648 0 -0.9771474 0.2055366 0.05420148 -0.9735371 0.1615954 -0.1615934 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9234724 -0.38261 0.0284335 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8826169 0.4698672 0.01456999 -0.7744444 0.6326419 -1.52322e-4 -0.5520654 -0.8338006 3.62527e-4 -0.8300758 -0.5576505 -3.02741e-4 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -0.3573545 -0.8143725 -0.4572692 -0.3573374 0.4572603 -0.814385 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -0.5499498 -0.7622237 -0.3414241 -0.7932329 -0.4513208 -0.4087678 -0.8630288 -0.3994656 -0.3092063 -0.848461 -0.3742442 -0.3742396 -0.8836966 0.002892434 -0.4680513 -0.8300449 0 -0.5576966 -0.7743827 -1.29254e-6 -0.6327174 -0.7720223 -0.264079 -0.5781385 -0.5521695 1.38328e-6 -0.8337319 -0.5589354 -0.2137657 -0.8011838 -0.5520988 -9.21107e-7 -0.8337787 -0.5499516 0.3414077 -0.7622296 -0.7932103 0.4087961 -0.451335 -0.8630376 0.3091918 -0.3994579 -0.8484387 0.3742694 -0.3742649 -0.7720644 0.5780749 -0.2640946 -0.5589039 0.8012055 -0.2137667 -0.5036874 0.8383176 -0.208621 -0.5036874 0.8383176 0.2086206 -0.2086204 0.8383176 -0.5036874 0.2086195 0.8383178 -0.5036875 0.5036659 0.8383243 -0.2086461 0.5036659 0.8383244 0.2086457 0.2086448 0.8383241 0.5036665 -0.2086457 0.838324 0.5036665 -1 0 0 -0.9190948 0.3412451 -0.1970193 -1 0 0 -0.6947324 0.3596368 -0.6229032 -1 0 0 -0.9174574 0.1851372 -0.3521308 -1 0 0 -0.7041024 0.7040237 -0.0926851 -1 0 0 -1 0 0 -1 0 0 -0.3699423 0.8122491 -0.4509922 -0.6947832 0.6228618 -0.35961 -1 0 0 0.9608526 0.27469 0.03616303 -1 0 0 -1 0 0 -1 0 0 -0.6947835 0.6228618 0.3596096 -1 0 0 -0.6947881 0.7192144 0 -1 0 0 -0.6948039 0.3595992 0.6228451 -0.6948033 0.6228459 0.3595991 -1 0 0 -0.7041 0.09269064 0.7040253 -1 0 0 -0.694781 0.3596091 0.6228649 -1 0 0 0.9608581 -0.03616261 0.2746708 -1 0 0 -1 0 0 -1 0 0 -0.6947808 -0.3596103 0.6228644 -1 0 0 -1 0 0 -1 0 0 -0.6947855 0 0.7192171 -1 0 0 -0.9190714 -0.341293 0.1970456 -1 0 0 -0.9174156 -0.1851885 0.3522127 -1 0 0 -0.7041024 -0.7040237 0.09268498 -1 0 0 -1 0 0 -1 0 0 -0.6947837 -0.6228623 0.3596085 -0.3700398 -0.8122144 0.4509747 -1 0 0 0.9608526 -0.2746897 -0.03616303 -1 0 0 -1 0 0 -1 0 0 -0.6947833 -0.622861 -0.3596115 -1 0 0 -0.6947881 -0.7192144 0 -1 0 0 -0.6948188 -0.3595951 -0.6228309 -0.6948118 -0.6228379 -0.3595963 -1 0 0 -0.7040468 -0.09269386 -0.704078 -1 0 0 -0.694733 -0.3596323 -0.6229051 -1 0 0 0.9608575 0.03616148 -0.2746731 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6947299 0 -0.7192707 0 -0.4999988 0.8660262 0 -0.8660249 0.5000011 0 -0.8660249 0.5000011 -1 0 0 0 0 1 -1 0 0 0 -0.4999988 0.8660262 0 0.4999988 0.8660262 -1 0 0 0 0 1 0 0.8660249 0.5000011 0 0.4999988 0.8660262 0 1 0 -1 0 0 -1 0 0 0 0.8660249 0.5000011 0 0.8660244 -0.5000017 0 1 0 0 0.4999976 -0.8660267 0 0.8660244 -0.5000017 -1 0 0 0 4.00747e-6 -1 -1 0 0 0 0.4999976 -0.8660267 0 -0.5000007 -0.8660251 -1 0 0 0 4.00747e-6 -1 0 -0.8660244 -0.5000017 0 -0.5000007 -0.8660251 0 -1 0 -1 0 0 -1 0 0 0 -0.8660244 -0.5000017 0 -1 0 0 -2.03251e-4 -1 1.72998e-4 1 1.2232e-4 0 1 0 2.44858e-4 -0.9999999 -1.7313e-4 2.87384e-4 0 -0.9999999 0 2.03241e-4 1 0 -1 0 2.87384e-4 0 0.9999999 0 -1.73133e-4 -1 2.44355e-4 0.9999999 1.72779e-4 0 1 0 2.44352e-4 -1 -1.72776e-4 2.44808e-4 0 -0.9999999 0 1.88188e-4 1 0 -1 0 2.66096e-4 0 0.9999999 0 -2.03241e-4 -1 2.44858e-4 0.9999999 1.7313e-4 0 1 0 1.72998e-4 -1 -1.2232e-4 2.87384e-4 0 -0.9999999 0 2.03251e-4 1 0 -1 0 2.87384e-4 0 0.9999999 0 -2.10771e-4 -1 2.44335e-4 0.9999999 1.72777e-4 0 1 0 2.44361e-4 -1 -1.72796e-4 2.98028e-4 0 -0.9999999 0 1.05385e-4 1 0 -1 0 1.49014e-4 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.4999981 -0.8660265 0 0.8660242 -0.500002 0 0.8660242 -0.500002 0 7.07048e-6 -1 0 0.4999981 -0.8660265 0 -0.5000035 -0.8660234 0 7.07048e-6 -1 0 -0.8660242 -0.500002 0 -0.5000035 -0.8660234 0 -1 0 0 -0.8660242 -0.500002 0 -0.8660241 0.5000023 0 -1 0 0 -0.4999989 0.8660261 0 -0.8660241 0.5000023 0 0 1 0 -0.4999989 0.8660261 0 0.4999989 0.8660261 0 0 1 0 0.8660241 0.5000023 0 0.4999989 0.8660261 0 1 0 0 0.8660241 0.5000023 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9190533 -0.1970672 0.3413292 -0.6947836 -0.6228621 0.359609 -0.9208617 -0.3267528 0.2127117 -0.6948075 0 0.7191957 -0.3731592 -0.4810936 0.7932851 -0.6948011 -0.359597 0.6228494 -0.6948004 0.3596023 0.6228472 -0.6948075 0 0.7191957 -0.6947284 0.6229082 0.3596356 -0.694725 0.3596338 0.6229131 -0.6947881 0.7192144 0 -0.6947844 0.6228634 0.359605 -0.6947834 0.6228616 -0.3596099 -0.6947882 0.7192144 0 -0.9190722 0.1970452 -0.3412911 -0.9208735 0.3267276 -0.2126996 -0.694791 0 -0.7192118 -0.3732023 0.4810869 -0.7932689 -0.6947864 0.3596082 -0.6228594 -0.694786 -0.3596092 -0.6228592 -0.6947909 0 -0.7192118 -0.6947563 -0.6228844 -0.359623 -0.6947734 -0.3596144 -0.6228702 -0.6947881 -0.7192144 0 -0.6947838 -0.6228625 -0.3596081 -0.6947882 -0.7192144 0 -0.3714082 -0.8040813 0.4642297 0 -0.4999946 0.8660286 0 -0.8660287 0.4999945 0 -0.8660287 0.4999945 0 0 1 0 -0.4999946 0.8660286 0 0.4999946 0.8660286 0 0 1 0 0.8660287 0.4999945 0 0.4999946 0.8660286 0 1 0 0 0.8660287 0.4999945 -0.3714339 0.8040704 -0.464228 0 0.8660264 -0.4999982 0 1 0 0 0.8660264 -0.4999982 0 0.5000002 -0.8660252 0.371321 -0.4642472 0.8041114 0.373116 -0.7933008 0.4811011 0.6947416 -0.6228993 0.3596257 0.6947647 0 0.7192372 0.920875 -0.2127012 0.3267222 0.6947574 -0.359623 0.6228832 0.6947582 0.3596178 0.6228852 0.6947647 0 0.7192371 0.6946851 0.6229466 0.359653 0.6946827 0.3596591 0.6229456 0.6947454 0.7192559 0 0.6947409 0.6228978 0.3596296 0.6947408 0.6228983 -0.3596287 0.6947453 0.7192559 0 0.3731423 0.7932902 -0.4810981 0.3713654 0.4642435 -0.804093 0 0.5000002 -0.8660252 0.9190615 -0.341313 0.1970568 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9190724 0.3412906 -0.1970445 1 0 0 0.9208931 0.2126823 -0.3266837 1 0 0 0.6947431 0.3596299 -0.6228951 1 0 0 1 0 0 0.6947453 -0.7192559 0 1 0 0 0.6947407 -0.6228976 -0.3596307 1 0 0 0.6947453 -0.7192558 0 1 0 0 0.6947307 -0.3596358 -0.6229054 1 0 0 1 0 0 0.6947132 -0.6229215 -0.3596421 1 0 0 0.6947481 0 -0.7192531 1 0 0 0.6947432 -0.359629 -0.6228955 1 0 0 0.6947481 0 -0.7192531 0 0.4999981 -0.8660265 0 0.8660242 -0.500002 0 0.8660242 -0.500002 0 7.07048e-6 -1 0 0.4999981 -0.8660265 0 -0.5000035 -0.8660234 0 7.07048e-6 -1 0 -0.8660242 -0.500002 0 -0.5000035 -0.8660234 0 -1 0 0 -0.8660242 -0.500002 0 -0.8660241 0.5000023 0 -1 0 0 -0.4999989 0.8660261 0 -0.8660241 0.5000023 0 0 1 0 -0.4999989 0.8660261 0 0.4999989 0.8660261 0 0 1 0 0.8660241 0.5000023 0 0.4999989 0.8660261 0 1 0 0 0.8660241 0.5000023 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.4999988 0.8660262 0 -0.8660249 0.5000011 0 -0.8660249 0.5000011 0 0 1 0 -0.4999988 0.8660262 0 0.4999988 0.8660262 0 0 1 0 0.8660249 0.5000011 0 0.4999988 0.8660262 0 1 0 0 0.8660249 0.5000011 0 0.8660244 -0.5000017 0 1 0 0 0.4999976 -0.8660267 0 0.8660244 -0.5000017 0 4.00747e-6 -1 0 0.4999976 -0.8660267 0 -0.5000007 -0.8660251 0 4.00747e-6 -1 0 -0.8660244 -0.5000017 0 -0.5000007 -0.8660251 0 -1 0 0 -0.8660244 -0.5000017 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9191148 0.1969963 -0.3412043 0.6947404 0.6228969 -0.3596322 0.9174574 0.3521319 -0.1851353 1 0 0 0.7040045 0.09269934 -0.7041196 1 0 0 0.3698465 0.4510096 -0.8122831 0.6946903 0.3596528 -0.6229407 -0.9608487 -0.03616547 -0.2747033 1 0 0 0.6946895 -0.3596575 -0.6229391 0.6946871 0 -0.7193121 0.6947692 -0.6228727 -0.3596183 0.6947753 -0.3596119 -0.6228697 0.7040601 -0.7040653 -0.09269058 0.6947404 -0.6228976 -0.3596308 1 0 0 -0.9608438 -0.2747202 0.03616702 1 0 0 0.6947407 -0.6228976 0.3596302 1 0 0 0.6947453 -0.7192558 0 0.9190742 -0.197042 0.3412874 0.9174351 -0.3521758 0.1851618 1 0 0 0.7040577 -0.09269618 0.7040669 1 0 0 0.3700234 -0.4509776 0.8122203 0.6947385 -0.3596296 0.6229005 -0.9608492 0.0361666 0.274701 1 0 0 0.694738 0.359631 0.6229002 0.6947426 0 0.7192586 0.6947605 0.6228809 0.3596206 0.6947613 0.3596186 0.6228814 0.70406 0.7040653 0.09269046 0.6947407 0.6228982 0.3596293 1 0 0 -0.9608438 0.2747199 -0.03616702 1 0 0 1 0 0 0.6947453 0.7192558 0 0 1 1.2232e-4 -2.87434e-4 -2.03251e-4 -0.9999999 0 0 -1 -2.87419e-4 2.03241e-4 1 -1.72963e-4 1 0 0 -1 -1.7313e-4 0 0 1 -2.44808e-4 -1 0 0 1 1.72779e-4 -2.44851e-4 -1.73133e-4 -1 0 0 -1 -2.66142e-4 1.88188e-4 1 -2.4431e-4 1 0 0 -1 -1.72776e-4 0 0 1 -2.4431e-4 -1 0 0 1 1.7313e-4 -2.87419e-4 -2.03241e-4 -1 0 0 -1 -2.87434e-4 2.03251e-4 0.9999999 -2.44808e-4 1 0 0 -1 -1.2232e-4 0 0 1 -1.72963e-4 -1 0 0 1 1.72777e-4 -2.98079e-4 -2.10771e-4 -1 0 0 -1 -1.4904e-4 1.05385e-4 1 -2.4431e-4 1 0 0 -1 -1.72796e-4 0 0 1 -2.4431e-4 -1 0 0.3713593 0.8040949 -0.4642453 0 0.4999978 -0.8660267 0 0.866025 -0.5000007 0 0.866025 -0.5000007 0 0 -1 0 0.4999978 -0.8660267 0 -0.4999978 -0.8660267 0 0 -1 0 -0.866025 -0.5000007 0 -0.4999978 -0.8660267 0 -1 0 0 -0.866025 -0.5000007 0.3714604 -0.8040609 0.4642233 0 -0.8660261 0.4999988 0 -1 0 0 -0.8660261 0.4999988 0 -0.4999978 0.8660267 -0.3603729 0.4664021 -0.807837 -0.3713605 0.6615447 -0.6514981 0.2184606 0.8451069 -0.4879236 -0.3558686 0.6757786 -0.6455082 -0.2700893 0 -0.9628353 0.9953538 0.06755936 -0.0686044 0.9947576 0.070638 -0.07394415 -0.3591415 0.4543423 -0.8152243 -0.3593363 0.4542984 -0.8151628 -0.4400445 0.4330303 -0.7866674 0.2184995 -0.4879164 -0.8451009 -0.2700893 0 -0.9628353 -0.4400444 -0.4330304 -0.7866675 -0.3591415 -0.4543423 -0.8152243 -0.3603953 -0.8078278 -0.4664005 -0.3713317 -0.6464483 -0.6664963 -0.2701848 -0.9628085 0 0.9950596 -0.07126533 -0.06912028 -0.3589688 -0.8152778 -0.4543825 -0.3595386 -0.8150981 -0.4542543 -0.4401314 -0.7866305 -0.4330089 0.2183875 -0.845122 0.4879298 -0.2701849 -0.9628086 0 -0.4400897 -0.7866474 0.4330205 -0.3588953 -0.8153016 0.4543979 -0.355921 -0.6757774 0.6454805 -0.3714863 -0.6614748 0.6514974 -0.3605299 -0.4663717 0.8077843 0 -0.4999978 0.8660267 -1 0 0 -1 0 0 -1 0 0 -9.85295e-5 0.7071297 0.707084 0 0.7070991 0.7071145 -1 0 0 1.00023e-4 0.7070814 0.7071321 0.4400115 0.4330381 -0.7866815 0.3592401 0.45432 -0.8151931 0.3592201 0.4543245 -0.8151994 -8.24419e-5 0.7071124 0.7071012 0.270066 0 -0.9628419 0.4400113 -0.4330382 -0.7866816 0.2700659 0 -0.9628418 -0.3593363 -0.4542984 -0.8151628 8.24702e-5 -0.7071124 0.7071012 0.3592203 -0.4543244 -0.8151995 -9.99815e-5 -0.7070814 0.7071322 -8.12471e-5 -0.7070991 0.7071144 -1 0 0 -1 0 0 -1.45693e-4 0.7070704 -0.7071433 0 0.7071155 -0.7070981 -1 0 0 8.33534e-5 0.707126 -0.7070876 0.4400984 -0.7866447 -0.4330167 0.3590674 -0.8152468 -0.4543603 0.3594225 -0.8151347 -0.4542804 -6.86737e-5 0.7071002 -0.7071135 0.2701615 -0.962815 0 0.4400567 -0.7866617 0.4330283 0.2701615 -0.9628151 0 -0.3595826 -0.8150849 0.4542433 -6.8755e-6 0.7071062 0.7071073 0.3594661 -0.8151216 0.4542695 8.33687e-6 0.7071037 0.7071099 5.72157e-6 0.7071053 0.7071083 -1 0 0 -1 0 0 0.9953563 -0.06754559 0.06858021 -1 0 0 0.3558849 0.6455328 -0.6757465 1 0 0 -0.2184668 0.4879201 -0.8451073 8.12728e-5 0.7070991 0.7071144 0.3713092 0.651497 -0.6615747 1 0 0 0.3603456 0.8078444 -0.4664101 -0.9953531 0.06860798 -0.06756609 1 0 0 0 0.4999978 -0.8660267 0 0.866025 -0.5000007 0 0.866025 -0.5000007 0 0 -1 0 0.4999978 -0.8660267 0.3603232 -0.4664117 -0.8078536 0 -0.4999978 -0.8660267 -0.9950586 -0.06912815 -0.07127201 0.3592401 -0.45432 -0.8151931 0 0 -1 -0.2184276 -0.8451132 -0.4879273 0 -0.866025 -0.5000007 0.3712823 -0.666517 -0.6464554 0 -0.4999978 -0.8660267 0 -1 0 0 -0.866025 -0.5000007 0.3604362 -0.8078153 0.4663909 0 -0.8660261 0.4999988 -0.995355 -0.06859046 0.06755584 -0.9947531 -0.07397985 0.07066309 0.3589939 -0.8152706 0.4543758 0 -1 0 0.3714368 -0.6515103 0.6614899 0 -0.8660261 0.4999988 0 -0.4999978 0.8660267 0.3559731 -0.6455315 0.6757013 -0.2184368 -0.4879233 0.845113 1 0 0 1 0 0 1 0 0 -6.91648e-6 0.7071074 0.7071061 1 0 0 0 0.7071053 0.7071083 1.20189e-4 0.7071155 -0.7070982 1 0 0 1 0 0 9.85674e-5 -0.7071297 0.7070839 1 0 0 0 -0.7070991 0.7071145 -0.3713938 0.4642357 -0.8040845 -0.3715691 -0.4642006 0.8040237 0 -0.4999978 0.8660267 0 0 -1 0 -0.5000002 -0.8660252 0 0 -1 0 -0.8660264 -0.4999982 0 -0.5000002 -0.8660252 0 -1 0 0 -0.8660264 -0.4999982 0 -1 0 0 0 1 0 0.4999978 0.8660267 0 0 1 0 0.8660261 0.4999988 0 0.4999978 0.8660267 0 1 0 0 0.8660261 0.4999988 0 1 0 -0.2701724 0 0.962812 0.9947589 -0.0706315 0.07393258 -0.359247 -0.4543204 0.8151898 -0.3592574 -0.4543182 0.8151866 -0.4401029 -0.4330143 0.7866435 0.2184698 0.4879197 0.8451067 -0.2701724 0 0.962812 -0.4401028 0.4330143 0.7866436 -0.359247 0.4543204 0.8151898 -0.3604858 0.8077986 0.4663812 -0.3714604 0.6464481 0.6664248 -0.2701848 0.9628085 0 0.9950603 0.07125991 0.06911718 -0.3588953 0.8153016 0.4543979 -0.3595826 0.8150849 0.4542433 -0.4400895 0.7866476 0.4330205 -0.3589688 0.8152778 -0.4543825 -0.4401316 0.7866305 -0.4330089 -0.2701849 0.9628086 0 -0.3595386 0.8150981 -0.4542543 6.86972e-5 -0.7071001 -0.7071135 0.4400985 0.7866446 -0.4330167 0.3594221 0.815135 -0.4542805 -8.33188e-5 -0.707126 -0.7070876 -1.20151e-4 -0.7071155 -0.7070981 -1 0 0 -1 0 0 2.36009e-5 -0.7071 -0.7071136 0 -0.7071073 -0.7071062 -1 0 0 8.33893e-6 -0.7071037 -0.7071099 0.4400699 -0.4330222 0.7866578 0.3591413 -0.4543442 0.8152232 -6.87347e-6 -0.7071062 -0.7071073 0.3593457 -0.4542983 0.8151587 0.2701491 0 0.9628185 0.4400697 0.4330222 0.7866578 0.2701491 0 0.9628185 -0.3592574 0.4543182 0.8151866 6.87582e-6 0.7071062 -0.7071073 0.3591413 0.4543442 0.8152232 -8.33547e-6 0.7071037 -0.7071099 1.94602e-5 0.7071073 -0.7071062 -1 0 0 -1 0 0 6.91382e-6 -0.7071074 0.7071062 0 -0.7071053 0.7071083 -1 0 0 -8.34033e-6 -0.7071037 0.7071099 0.4400565 0.7866618 0.4330283 0.3594664 0.8151215 0.4542695 6.87315e-6 -0.7071063 0.7071073 0.3589939 0.8152706 0.4543758 0.2701615 0.962815 0 0.2701615 0.9628151 0 -5.72338e-6 -0.7071053 0.7071084 0.3714069 0.6664712 0.646431 1 0 0 -0.2183546 0.8451284 0.4879335 -0.9950606 0.06911796 0.07125389 1 0 0 0.3604806 0.4663813 0.8078009 0.3593457 0.4542983 0.8151587 -2.36099e-5 0.7071 -0.7071136 1 0 0 0 0.7071073 -0.7071062 -1.94663e-5 -0.7071073 -0.7071063 1 0 0 0 0 1 0 0.4999978 0.8660267 0 0 1 0 0.8660261 0.4999988 0 0.4999978 0.8660267 0 1 0 0 0.8660261 0.4999988 -0.994754 0.07397246 -0.07065898 0.3590674 0.8152468 -0.4543603 0 1 0 1 0 0 1.45749e-4 -0.7070702 -0.7071433 1 0 0 0 -0.7071155 -0.7070981 0 0.7070919 0.7071217 0 0.7070919 0.7071217 0 -0.7070957 -0.707118 0 -0.7070957 -0.707118 0 -0.7070919 0.7071217 0 -0.7070919 0.7071217 0 0.7070957 -0.707118 0 0.7070957 -0.707118 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9190948 -0.3412451 -0.1970193 1 0 0 0.6947324 -0.3596368 -0.6229032 1 0 0 0.9174574 -0.1851372 -0.3521308 1 0 0 0.7041024 -0.7040237 -0.0926851 1 0 0 1 0 0 1 0 0 0.3699423 -0.8122491 -0.4509922 0.6947832 -0.6228618 -0.35961 1 0 0 -0.9608526 -0.27469 0.03616303 1 0 0 1 0 0 1 0 0 0.6947835 -0.6228618 0.3596096 1 0 0 0.6947881 -0.7192144 0 1 0 0 0.6948039 -0.3595992 0.6228451 0.6948033 -0.6228459 0.3595991 1 0 0 0.7041 -0.09269064 0.7040253 1 0 0 0.694781 -0.3596091 0.6228649 1 0 0 -0.9608581 0.03616261 0.2746708 1 0 0 1 0 0 1 0 0 0.6947808 0.3596103 0.6228644 1 0 0 1 0 0 1 0 0 0.6947855 0 0.7192171 1 0 0 0.9190714 0.341293 0.1970456 1 0 0 0.9174156 0.1851885 0.3522127 1 0 0 0.7041024 0.7040237 0.09268498 1 0 0 1 0 0 1 0 0 0.6947837 0.6228623 0.3596085 0.3700398 0.8122144 0.4509747 1 0 0 -0.9608526 0.2746897 -0.03616303 1 0 0 1 0 0 1 0 0 0.6947833 0.622861 -0.3596115 1 0 0 0.6947881 0.7192144 0 1 0 0 0.6948188 0.3595951 -0.6228309 0.6948118 0.6228379 -0.3595963 1 0 0 0.7040468 0.09269386 -0.704078 1 0 0 0.694733 0.3596323 -0.6229051 1 0 0 -0.9608575 -0.03616148 -0.2746731 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6947299 0 -0.7192707 0 0.4999988 0.8660262 0 0.8660249 0.5000011 0 0.8660249 0.5000011 1 0 0 0 0 1 1 0 0 0 0.4999988 0.8660262 0 -0.4999988 0.8660262 1 0 0 0 0 1 0 -0.8660249 0.5000011 0 -0.4999988 0.8660262 0 -1 0 1 0 0 1 0 0 0 -0.8660249 0.5000011 0 -0.8660244 -0.5000017 0 -1 0 0 -0.4999976 -0.8660267 0 -0.8660244 -0.5000017 1 0 0 0 -4.00747e-6 -1 1 0 0 0 -0.4999976 -0.8660267 0 0.5000007 -0.8660251 1 0 0 0 -4.00747e-6 -1 0 0.8660244 -0.5000017 0 0.5000007 -0.8660251 0 1 0 1 0 0 1 0 0 0 0.8660244 -0.5000017 0 1 0 0 2.03251e-4 -1 -1.72998e-4 -1 1.2232e-4 0 -1 0 -2.44858e-4 0.9999999 -1.7313e-4 -2.87384e-4 0 -0.9999999 0 -2.03241e-4 1 0 1 0 -2.87384e-4 0 0.9999999 0 1.73133e-4 -1 -2.44355e-4 -0.9999999 1.72779e-4 0 -1 0 -2.44352e-4 1 -1.72776e-4 -2.44808e-4 0 -0.9999999 0 -1.88188e-4 1 0 1 0 -2.66096e-4 0 0.9999999 0 2.03241e-4 -1 -2.44858e-4 -0.9999999 1.7313e-4 0 -1 0 -1.72998e-4 1 -1.2232e-4 -2.87384e-4 0 -0.9999999 0 -2.03251e-4 1 0 1 0 -2.87384e-4 0 0.9999999 0 2.10771e-4 -1 -2.44335e-4 -0.9999999 1.72777e-4 0 -1 0 -2.44361e-4 1 -1.72796e-4 -2.98028e-4 0 -0.9999999 0 -1.05385e-4 1 0 1 0 -1.49014e-4 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.4999981 -0.8660265 0 -0.8660242 -0.500002 0 -0.8660242 -0.500002 0 -7.07048e-6 -1 0 -0.4999981 -0.8660265 0 0.5000035 -0.8660234 0 -7.07048e-6 -1 0 0.8660242 -0.500002 0 0.5000035 -0.8660234 0 1 0 0 0.8660242 -0.500002 0 0.8660241 0.5000023 0 1 0 0 0.4999989 0.8660261 0 0.8660241 0.5000023 0 0 1 0 0.4999989 0.8660261 0 -0.4999989 0.8660261 0 0 1 0 -0.8660241 0.5000023 0 -0.4999989 0.8660261 0 -1 0 0 -0.8660241 0.5000023 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9190533 0.1970672 0.3413292 0.6947836 0.6228621 0.359609 0.9208617 0.3267528 0.2127117 0.6948075 0 0.7191957 0.3731592 0.4810936 0.7932851 0.6948011 0.359597 0.6228494 0.6948004 -0.3596023 0.6228472 0.6948075 0 0.7191957 0.6947284 -0.6229082 0.3596356 0.694725 -0.3596338 0.6229131 0.6947881 -0.7192144 0 0.6947844 -0.6228634 0.359605 0.6947834 -0.6228616 -0.3596099 0.6947882 -0.7192144 0 0.9190722 -0.1970452 -0.3412911 0.9208735 -0.3267276 -0.2126996 0.694791 0 -0.7192118 0.3732023 -0.4810869 -0.7932689 0.6947864 -0.3596082 -0.6228594 0.694786 0.3596092 -0.6228592 0.6947909 0 -0.7192118 0.6947563 0.6228844 -0.359623 0.6947734 0.3596144 -0.6228702 0.6947881 0.7192144 0 0.6947838 0.6228625 -0.3596081 0.6947882 0.7192144 0 0.3714082 0.8040813 0.4642297 0 0.4999946 0.8660286 0 0.8660287 0.4999945 0 0.8660287 0.4999945 0 0 1 0 0.4999946 0.8660286 0 -0.4999946 0.8660286 0 0 1 0 -0.8660287 0.4999945 0 -0.4999946 0.8660286 0 -1 0 0 -0.8660287 0.4999945 0.3714339 -0.8040704 -0.464228 0 -0.8660264 -0.4999982 0 -1 0 0 -0.8660264 -0.4999982 0 -0.5000002 -0.8660252 -0.371321 0.4642472 0.8041114 -0.373116 0.7933008 0.4811011 -0.6947416 0.6228993 0.3596257 -0.6947647 0 0.7192372 -0.920875 0.2127012 0.3267222 -0.6947574 0.359623 0.6228832 -0.6947582 -0.3596178 0.6228852 -0.6947647 0 0.7192371 -0.6946851 -0.6229466 0.359653 -0.6946827 -0.3596591 0.6229456 -0.6947454 -0.7192559 0 -0.6947409 -0.6228978 0.3596296 -0.6947408 -0.6228983 -0.3596287 -0.6947453 -0.7192559 0 -0.3731423 -0.7932902 -0.4810981 -0.3713654 -0.4642435 -0.804093 0 -0.5000002 -0.8660252 -0.9190615 0.341313 0.1970568 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9190724 -0.3412906 -0.1970445 -1 0 0 -0.9208931 -0.2126823 -0.3266837 -1 0 0 -0.6947431 -0.3596299 -0.6228951 -1 0 0 -1 0 0 -0.6947453 0.7192559 0 -1 0 0 -0.6947407 0.6228976 -0.3596307 -1 0 0 -0.6947453 0.7192558 0 -1 0 0 -0.6947307 0.3596358 -0.6229054 -1 0 0 -1 0 0 -0.6947132 0.6229215 -0.3596421 -1 0 0 -0.6947481 0 -0.7192531 -1 0 0 -0.6947432 0.359629 -0.6228955 -1 0 0 -0.6947481 0 -0.7192531 0 -0.4999981 -0.8660265 0 -0.8660242 -0.500002 0 -0.8660242 -0.500002 0 -7.07048e-6 -1 0 -0.4999981 -0.8660265 0 0.5000035 -0.8660234 0 -7.07048e-6 -1 0 0.8660242 -0.500002 0 0.5000035 -0.8660234 0 1 0 0 0.8660242 -0.500002 0 0.8660241 0.5000023 0 1 0 0 0.4999989 0.8660261 0 0.8660241 0.5000023 0 0 1 0 0.4999989 0.8660261 0 -0.4999989 0.8660261 0 0 1 0 -0.8660241 0.5000023 0 -0.4999989 0.8660261 0 -1 0 0 -0.8660241 0.5000023 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.4999988 0.8660262 0 0.8660249 0.5000011 0 0.8660249 0.5000011 0 0 1 0 0.4999988 0.8660262 0 -0.4999988 0.8660262 0 0 1 0 -0.8660249 0.5000011 0 -0.4999988 0.8660262 0 -1 0 0 -0.8660249 0.5000011 0 -0.8660244 -0.5000017 0 -1 0 0 -0.4999976 -0.8660267 0 -0.8660244 -0.5000017 0 -4.00747e-6 -1 0 -0.4999976 -0.8660267 0 0.5000007 -0.8660251 0 -4.00747e-6 -1 0 0.8660244 -0.5000017 0 0.5000007 -0.8660251 0 1 0 0 0.8660244 -0.5000017 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9191148 -0.1969963 -0.3412043 -0.6947404 -0.6228969 -0.3596322 -0.9174574 -0.3521319 -0.1851353 -1 0 0 -0.7040045 -0.09269934 -0.7041196 -1 0 0 -0.3698465 -0.4510096 -0.8122831 -0.6946903 -0.3596528 -0.6229407 0.9608487 0.03616547 -0.2747033 -1 0 0 -0.6946895 0.3596575 -0.6229391 -0.6946871 0 -0.7193121 -0.6947692 0.6228727 -0.3596183 -0.6947753 0.3596119 -0.6228697 -0.7040601 0.7040653 -0.09269058 -0.6947404 0.6228976 -0.3596308 -1 0 0 0.9608438 0.2747202 0.03616702 -1 0 0 -0.6947407 0.6228976 0.3596302 -1 0 0 -0.6947453 0.7192558 0 -0.9190742 0.197042 0.3412874 -0.9174351 0.3521758 0.1851618 -1 0 0 -0.7040577 0.09269618 0.7040669 -1 0 0 -0.3700234 0.4509776 0.8122203 -0.6947385 0.3596296 0.6229005 0.9608492 -0.0361666 0.274701 -1 0 0 -0.694738 -0.359631 0.6229002 -0.6947426 0 0.7192586 -0.6947605 -0.6228809 0.3596206 -0.6947613 -0.3596186 0.6228814 -0.70406 -0.7040653 0.09269046 -0.6947407 -0.6228982 0.3596293 -1 0 0 0.9608438 -0.2747199 -0.03616702 -1 0 0 -1 0 0 -0.6947453 -0.7192558 0 0 -1 1.2232e-4 2.87434e-4 2.03251e-4 -0.9999999 0 0 -1 2.87419e-4 -2.03241e-4 1 1.72963e-4 -1 0 0 1 -1.7313e-4 0 0 1 2.44808e-4 1 0 0 -1 1.72779e-4 2.44851e-4 1.73133e-4 -1 0 0 -1 2.66142e-4 -1.88188e-4 1 2.4431e-4 -1 0 0 1 -1.72776e-4 0 0 1 2.4431e-4 1 0 0 -1 1.7313e-4 2.87419e-4 2.03241e-4 -1 0 0 -1 2.87434e-4 -2.03251e-4 0.9999999 2.44808e-4 -1 0 0 1 -1.2232e-4 0 0 1 1.72963e-4 1 0 0 -1 1.72777e-4 2.98079e-4 2.10771e-4 -1 0 0 -1 1.4904e-4 -1.05385e-4 1 2.4431e-4 -1 0 0 1 -1.72796e-4 0 0 1 2.4431e-4 1 0 -0.3713593 -0.8040949 -0.4642453 0 -0.4999978 -0.8660267 0 -0.866025 -0.5000007 0 -0.866025 -0.5000007 0 0 -1 0 -0.4999978 -0.8660267 0 0.4999978 -0.8660267 0 0 -1 0 0.866025 -0.5000007 0 0.4999978 -0.8660267 0 1 0 0 0.866025 -0.5000007 -0.3714604 0.8040609 0.4642233 0 0.8660261 0.4999988 0 1 0 0 0.8660261 0.4999988 0 0.4999978 0.8660267 0.3603729 -0.4664021 -0.807837 0.3713605 -0.6615447 -0.6514981 -0.2184606 -0.8451069 -0.4879236 0.3558686 -0.6757786 -0.6455082 0.2700893 0 -0.9628353 -0.9953538 -0.06755936 -0.0686044 -0.9947576 -0.070638 -0.07394415 0.3591415 -0.4543423 -0.8152243 0.3593363 -0.4542984 -0.8151628 0.4400445 -0.4330303 -0.7866674 -0.2184995 0.4879164 -0.8451009 0.2700893 0 -0.9628353 0.4400444 0.4330304 -0.7866675 0.3591415 0.4543423 -0.8152243 0.3603953 0.8078278 -0.4664005 0.3713317 0.6464483 -0.6664963 0.2701848 0.9628085 0 -0.9950596 0.07126533 -0.06912028 0.3589688 0.8152778 -0.4543825 0.3595386 0.8150981 -0.4542543 0.4401314 0.7866305 -0.4330089 -0.2183875 0.845122 0.4879298 0.2701849 0.9628086 0 0.4400897 0.7866474 0.4330205 0.3588953 0.8153016 0.4543979 0.355921 0.6757774 0.6454805 0.3714863 0.6614748 0.6514974 0.3605299 0.4663717 0.8077843 0 0.4999978 0.8660267 1 0 0 1 0 0 1 0 0 9.85295e-5 -0.7071297 0.707084 0 -0.7070991 0.7071145 1 0 0 -1.00023e-4 -0.7070814 0.7071321 -0.4400115 -0.4330381 -0.7866815 -0.3592401 -0.45432 -0.8151931 -0.3592201 -0.4543245 -0.8151994 8.24419e-5 -0.7071124 0.7071012 -0.270066 0 -0.9628419 -0.4400113 0.4330382 -0.7866816 -0.2700659 0 -0.9628418 0.3593363 0.4542984 -0.8151628 -8.24702e-5 0.7071124 0.7071012 -0.3592203 0.4543244 -0.8151995 9.99815e-5 0.7070814 0.7071322 8.12471e-5 0.7070991 0.7071144 1 0 0 1 0 0 1.45693e-4 -0.7070704 -0.7071433 0 -0.7071155 -0.7070981 1 0 0 -8.33534e-5 -0.707126 -0.7070876 -0.4400984 0.7866447 -0.4330167 -0.3590674 0.8152468 -0.4543603 -0.3594225 0.8151347 -0.4542804 6.86737e-5 -0.7071002 -0.7071135 -0.2701615 0.962815 0 -0.4400567 0.7866617 0.4330283 -0.2701615 0.9628151 0 0.3595826 0.8150849 0.4542433 6.8755e-6 -0.7071062 0.7071073 -0.3594661 0.8151216 0.4542695 -8.33687e-6 -0.7071037 0.7071099 -5.72157e-6 -0.7071053 0.7071083 1 0 0 1 0 0 -0.9953563 0.06754559 0.06858021 1 0 0 -0.3558849 -0.6455328 -0.6757465 -1 0 0 0.2184668 -0.4879201 -0.8451073 -8.12728e-5 -0.7070991 0.7071144 -0.3713092 -0.651497 -0.6615747 -1 0 0 -0.3603456 -0.8078444 -0.4664101 0.9953531 -0.06860798 -0.06756609 -1 0 0 0 -0.4999978 -0.8660267 0 -0.866025 -0.5000007 0 -0.866025 -0.5000007 0 0 -1 0 -0.4999978 -0.8660267 -0.3603232 0.4664117 -0.8078536 0 0.4999978 -0.8660267 0.9950586 0.06912815 -0.07127201 -0.3592401 0.45432 -0.8151931 0 0 -1 0.2184276 0.8451132 -0.4879273 0 0.866025 -0.5000007 -0.3712823 0.666517 -0.6464554 0 0.4999978 -0.8660267 0 1 0 0 0.866025 -0.5000007 -0.3604362 0.8078153 0.4663909 0 0.8660261 0.4999988 0.995355 0.06859046 0.06755584 0.9947531 0.07397985 0.07066309 -0.3589939 0.8152706 0.4543758 0 1 0 -0.3714368 0.6515103 0.6614899 0 0.8660261 0.4999988 0 0.4999978 0.8660267 -0.3559731 0.6455315 0.6757013 0.2184368 0.4879233 0.845113 -1 0 0 -1 0 0 -1 0 0 6.91648e-6 -0.7071074 0.7071061 -1 0 0 0 -0.7071053 0.7071083 -1.20189e-4 -0.7071155 -0.7070982 -1 0 0 -1 0 0 -9.85674e-5 0.7071297 0.7070839 -1 0 0 0 0.7070991 0.7071145 0.3713938 -0.4642357 -0.8040845 0.3715691 0.4642006 0.8040237 0 0.4999978 0.8660267 0 0 -1 0 0.5000002 -0.8660252 0 0 -1 0 0.8660264 -0.4999982 0 0.5000002 -0.8660252 0 1 0 0 0.8660264 -0.4999982 0 1 0 0 0 1 0 -0.4999978 0.8660267 0 0 1 0 -0.8660261 0.4999988 0 -0.4999978 0.8660267 0 -1 0 0 -0.8660261 0.4999988 0 -1 0 0.2701724 0 0.962812 -0.9947589 0.0706315 0.07393258 0.359247 0.4543204 0.8151898 0.3592574 0.4543182 0.8151866 0.4401029 0.4330143 0.7866435 -0.2184698 -0.4879197 0.8451067 0.2701724 0 0.962812 0.4401028 -0.4330143 0.7866436 0.359247 -0.4543204 0.8151898 0.3604858 -0.8077986 0.4663812 0.3714604 -0.6464481 0.6664248 0.2701848 -0.9628085 0 -0.9950603 -0.07125991 0.06911718 0.3588953 -0.8153016 0.4543979 0.3595826 -0.8150849 0.4542433 0.4400895 -0.7866476 0.4330205 0.3589688 -0.8152778 -0.4543825 0.4401316 -0.7866305 -0.4330089 0.2701849 -0.9628086 0 0.3595386 -0.8150981 -0.4542543 -6.86972e-5 0.7071001 -0.7071135 -0.4400985 -0.7866446 -0.4330167 -0.3594221 -0.815135 -0.4542805 8.33188e-5 0.707126 -0.7070876 1.20151e-4 0.7071155 -0.7070981 1 0 0 1 0 0 -2.36009e-5 0.7071 -0.7071136 0 0.7071073 -0.7071062 1 0 0 -8.33893e-6 0.7071037 -0.7071099 -0.4400699 0.4330222 0.7866578 -0.3591413 0.4543442 0.8152232 6.87347e-6 0.7071062 -0.7071073 -0.3593457 0.4542983 0.8151587 -0.2701491 0 0.9628185 -0.4400697 -0.4330222 0.7866578 -0.2701491 0 0.9628185 0.3592574 -0.4543182 0.8151866 -6.87582e-6 -0.7071062 -0.7071073 -0.3591413 -0.4543442 0.8152232 8.33547e-6 -0.7071037 -0.7071099 -1.94602e-5 -0.7071073 -0.7071062 1 0 0 1 0 0 -6.91382e-6 0.7071074 0.7071062 0 0.7071053 0.7071083 1 0 0 8.34033e-6 0.7071037 0.7071099 -0.4400565 -0.7866618 0.4330283 -0.3594664 -0.8151215 0.4542695 -6.87315e-6 0.7071063 0.7071073 -0.3589939 -0.8152706 0.4543758 -0.2701615 -0.962815 0 -0.2701615 -0.9628151 0 5.72338e-6 0.7071053 0.7071084 -0.3714069 -0.6664712 0.646431 -1 0 0 0.2183546 -0.8451284 0.4879335 0.9950606 -0.06911796 0.07125389 -1 0 0 -0.3604806 -0.4663813 0.8078009 -0.3593457 -0.4542983 0.8151587 2.36099e-5 -0.7071 -0.7071136 -1 0 0 0 -0.7071073 -0.7071062 1.94663e-5 0.7071073 -0.7071063 -1 0 0 0 0 1 0 -0.4999978 0.8660267 0 0 1 0 -0.8660261 0.4999988 0 -0.4999978 0.8660267 0 -1 0 0 -0.8660261 0.4999988 0.994754 -0.07397246 -0.07065898 -0.3590674 -0.8152468 -0.4543603 0 -1 0 -1 0 0 -1.45749e-4 0.7070702 -0.7071433 -1 0 0 0 0.7071155 -0.7070981 0 -0.7070919 0.7071217 0 -0.7070919 0.7071217 0 0.7070957 -0.707118 0 0.7070957 -0.707118 0 0.7070919 0.7071217 0 0.7070919 0.7071217 0 -0.7070957 -0.707118 0 -0.7070957 -0.707118 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.9659227 0.2588309 0 1 0 0 1 0 0 0.9659265 -0.2588165 0 0.9659265 -0.2588165 1 0 0 1.25543e-4 0.7071409 0.7070727 -8.13842e-5 0.9659269 0.2588149 1 0 0 -3.03981e-4 0.2588759 0.9659106 1 0 0 1 0 0 3.63914e-4 0.7071065 0.7071069 1 0 0 0 -0.258876 0.9659106 1 0 0 0 0.2588162 0.9659266 1 0 0 1.25455e-4 -0.7071409 0.7070727 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -3.04083e-4 -0.2588162 0.9659265 3.63953e-4 -0.7071066 0.7071069 1 0 0 -8.13542e-5 -0.9659227 0.2588309 1 0 0 1 0 0 0 -1 0 1 0 0 0 -0.9659329 -0.2587931 1.16263e-5 -0.9659315 -0.2587984 0 -0.9659314 -0.2587984 0 -0.9659269 0.2588149 0 -0.9238548 -0.3827432 0 -1 0 0 -1 0 0 -1 0 0 -0.3827524 -0.9238509 0 -0.9238548 -0.3827432 0 0 -1 0 -0.3827524 -0.9238509 0 0 -1 0 0 -1 1 0 0 0 0.3827524 -0.9238509 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 0 0 0.9238548 -0.3827432 1 0 0 1 0 0 0 0.3827524 -0.9238509 1 0 0 1 0 0 0 1 0 0 0.9238548 -0.3827432 0 -0.2588326 0.9659222 -5.25014e-5 0.2588326 0.9659222 0 0.2587542 0.9659432 -1.31719e-6 -0.7071061 0.7071075 -5.31719e-5 -0.2587532 0.9659435 1.32397e-4 -0.9659217 0.2588345 -7.28126e-5 -0.707028 0.7071856 1.01653e-4 -0.965922 -0.258833 1.01652e-4 -0.9659094 0.2588803 -7.27694e-5 -0.7071061 -0.7071075 1.3238e-4 -0.9659097 -0.258879 -5.31643e-5 -0.2588326 -0.9659222 -1.32868e-6 -0.707028 -0.7071856 0 0.2588326 -0.9659222 0 -0.2587532 -0.9659435 4.93773e-7 0.7071059 -0.7071077 -5.25088e-5 0.2587542 -0.9659432 1.18006e-4 0.9659233 -0.2588286 -8.33554e-5 0.7070143 -0.7071992 8.4336e-5 0.9659228 0.2588301 8.43348e-5 0.9659097 -0.258879 -8.33062e-5 0.7071059 0.7071077 1.17986e-4 0.9659094 0.2588803 4.80063e-7 0.7070143 0.7071993 -1 0 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -4.67825e-5 -0.7071406 -0.707073 -1 0 0 -1 0 0 -5.09853e-5 -0.7071391 -0.7070744 -1 0 0 -5.77558e-5 -0.2588387 -0.9659206 -1 0 0 -1 0 0 -1 0 0 -6.78546e-5 0.2588387 -0.9659206 -6.78436e-5 -0.2588433 -0.9659193 -1 0 0 7.63391e-5 0.7071406 -0.707073 -1 0 0 -1 0 0 -1 0 0 0 0.2588697 -0.9659122 -7.74147e-5 0.2588191 -0.9659258 -1 0 0 3.58272e-5 0.9659327 -0.2587931 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 5.37492e-6 0.7071066 -0.707107 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 0 1 0 0 1 -1 0 0 0 -0.3090308 -0.951052 -1 0 0 -9.48127e-5 0.3090308 -0.951052 -1 0 0 -1 0 0 -1 0 0 0 0.3090694 -0.9510395 -1 0 0 1.29683e-4 -0.809019 -0.5877825 -1 0 0 -9.47929e-5 -0.3090694 -0.9510395 -1 0 0 -2.11101e-4 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 2.21422e-4 -0.8089959 -0.5878143 -1 0 0 2.21413e-4 -0.8090161 0.5877866 -1 0 0 -1 0 0 -2.11101e-4 -1 0 -1 0 0 -7.59154e-5 -0.3090347 0.9510508 -1 0 0 1.4138e-4 -0.8089959 0.5878143 -1 0 0 0 0.3090347 0.9510508 -1 0 0 -1 0 0 -1 0 0 0 -0.3090656 0.9510408 -1 0 0 1.4136e-4 0.8090161 0.5877866 -1 0 0 -7.59422e-5 0.3090656 0.9510408 -1 0 0 -2.11101e-4 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 2.21422e-4 0.8089959 0.5878143 -1 0 0 2.2141e-4 0.8090189 -0.5877825 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.11101e-4 1 0 -1 0 0 1.29682e-4 0.8089959 -0.5878143 -1 0 0 -0.6546587 -0.3779489 -0.6546577 -1 0 0 -0.6546691 0.3779444 -0.6546498 -0.654653 0.3779686 -0.6546519 -1 0 0 -0.6545349 -0.7560318 0 -0.6546748 -0.3779591 -0.6546357 -0.6546648 -0.377933 0.6546607 -0.6545349 -0.7560318 0 -0.6546463 0.377941 0.6546745 -0.6546363 -0.3779758 0.6546645 -1 0 0 -0.6545349 0.7560318 0 -1 0 0 -0.6546748 0.3779591 0.6546356 -1 0 0 -0.6545349 0.7560318 0 -0.6546634 -0.7301569 -0.1956701 -0.6546832 -0.1956762 -0.7301375 -0.6546396 -0.1956343 -0.7301879 -0.6545472 -0.5345892 0.5345862 -0.6546778 -0.7301494 -0.1956499 -0.6546807 0.195674 0.7301403 -0.6545466 -0.5345901 0.5345861 -0.6546544 0.7301647 0.1956715 -0.654636 0.195631 0.730192 -0.6545422 0.5345914 -0.5345902 -0.6546679 0.7301576 0.1956524 -0.6545357 0.534601 -0.5345885 -0.6546592 -0.6546597 0.3779444 -0.6546676 -0.6546578 -0.3779332 -0.6546585 -0.654659 -0.3779467 -0.6545349 0 0.7560318 -0.654676 -0.6546367 0.3779551 -0.6546801 0.6546433 0.3779366 -0.6545349 0 0.7560318 -0.6546628 0.6546607 -0.3779364 -0.6546496 0.6546475 0.3779823 -1 0 0 -0.6545349 0 -0.7560318 -0.6546856 0.6546297 -0.3779509 -1 0 0 -0.6545349 0 -0.7560318 -0.6546558 -0.1956718 0.7301632 -0.6546754 -0.730147 0.1956664 -0.6546581 -0.7301672 0.1956496 -0.6545248 0.5346007 0.534602 -0.6546741 -0.1956461 0.7301537 -1 0 0 -0.6546688 0.7301528 -0.1956673 -1 0 0 -0.6545282 0.5346016 0.534597 -1 0 0 -0.6546649 0.1956682 -0.730156 -1 0 0 -0.6546527 0.7301714 -0.1956518 -0.6545422 -0.5345916 -0.5345899 -1 0 0 -1 0 0 -1 0 0 -0.6546831 0.1956424 -0.7301466 -0.6545389 -0.5345908 -0.5345948 -0.6546596 0.3779419 0.6546607 -1 0 0 -0.654679 -0.3779336 0.6546463 -0.6546492 -0.377978 0.6546502 -1 0 0 -0.6545349 0.7560318 0 -1 0 0 -0.6546894 0.3779607 0.6546202 -1 0 0 -0.65467 0.3779393 -0.6546519 -1 0 0 -0.654535 0.7560318 0 -1 0 0 -0.6546615 -0.377943 -0.6546584 -1 0 0 -1 0 0 -0.6546568 0.3779591 -0.6546536 -1 0 0 -0.6545349 -0.7560318 0 -1 0 0 -1 0 0 -0.6546746 -0.3779513 -0.6546403 -1 0 0 -0.6545349 -0.7560318 0 -0.6546642 0.7301564 0.195669 -0.6546676 0.1956692 0.7301533 -0.6546494 0.1956516 0.7301744 -0.6545401 0.5345929 -0.5345912 -0.6546816 0.7301474 0.1956444 -0.6546768 -0.1956655 -0.7301461 -0.6545433 0.5345881 -0.534592 -0.6546584 -0.7301615 -0.1956697 -1 0 0 -0.6546586 -0.195648 -0.7301672 -0.654527 -0.5345994 0.5346007 -0.6546744 -0.7301531 -0.195647 -0.6545236 -0.5346044 0.5345998 -0.6546617 0.6546622 -0.3779357 -0.6546701 0.6546515 0.3779397 -0.6546533 0.6546538 0.3779649 -0.6545349 0 -0.7560318 -0.6546708 0.6546497 -0.3779414 -0.6546775 -0.6546496 -0.37793 -0.6545349 0 -0.7560318 -0.6546603 -0.6546582 0.3779451 -0.6546548 -0.6546527 -0.3779642 -0.6545349 0 0.7560318 -0.6546908 -0.6546165 0.3779644 -0.6545349 0 0.7560318 -0.6546549 0.1956825 -0.7301611 -0.6546727 0.730149 -0.1956681 -0.6546584 0.7301657 -0.1956542 -0.6545379 -0.5345939 -0.5345926 -0.6546984 0.195621 -0.7301386 -0.6546632 -0.7301572 0.1956695 -0.6545444 -0.5345956 -0.5345831 -0.6546517 -0.1956805 0.7301645 -0.6546496 -0.7301729 0.1956565 -0.6545468 0.5345894 0.5345864 -0.6546963 -0.1956175 0.7301414 -0.6545473 0.5345895 0.5345857 -1 0 0 0 0.4999977 0.8660266 -1 0 0 0 -0.5000065 0.8660216 -1 0 0 -1 0 0 -1 0 0 0 -0.5000065 0.8660216 -1 0 0 0 1 0 -1 0 0 0 0.4999977 0.8660266 -1 0 0 0 0.4999828 -0.8660353 -1 0 0 0 1 0 -1 0 0 0 -0.4999917 -0.8660303 -1 0 0 -1 0 0 0 0.4999828 -0.8660353 -1 0 0 0 -1 0 -1 0 0 0 -0.4999917 -0.8660303 0 -1 0 -1 0 0 0 -0.6834336 -0.7300127 -5.90852e-6 -0.7468608 -0.6649805 0 -0.7468523 -0.66499 -1 0 0 0 -0.8603869 -0.5096414 -1 0 0 0 -0.6834336 -0.7300127 -1 0 0 0 -0.9238798 -0.3826831 -1 0 0 -1 0 0 0 -0.8603869 -0.5096414 -1 0 0 0 -0.9734308 0.2289811 -1 0 0 0 -0.9238798 -0.3826831 0 -0.09260642 0.9957028 0 -0.9734308 0.2289811 0 0.3248715 0.9457581 0 -0.09260642 0.9957028 5.23174e-6 -0.06925088 0.9975992 6.48057e-5 0.3248391 0.9457693 2.34087e-5 -0.06924128 0.9975999 9.00227e-5 -0.4524431 0.8917933 0 -0.3370676 0.9414804 0 -0.4524006 0.8918148 0 0.303072 0.9529676 0 -0.3370676 0.9414804 0 0.8190724 0.5736901 0 0.303072 0.9529676 -1 0 0 0 0.9991709 -0.0407108 0 0.8190724 0.5736901 -1 0 0 0 0.9335806 -0.3583677 -1 0 0 -1 0 0 -1 0 0 0 0.9991709 -0.0407108 -1 0 0 0 0.5771523 -0.8166365 -1 0 0 0 0.9335806 -0.3583677 -1 0 0 0 -0.5336227 -0.8457227 -1 0 0 0 0.5771523 -0.8166365 -1 0 0 0 -0.9135448 -0.406738 -1 0 0 0 -0.5336227 -0.8457227 -1 0 0 0 -0.9961677 -0.0874629 0 -0.9135448 -0.406738 -1 0 0 0 -0.8395829 0.5432317 0 -0.9961677 -0.0874629 0 -0.7824444 0.6227205 -1 0 0 0 -0.8395829 0.5432317 -3.79618e-6 -0.9789624 0.2040412 1.06544e-5 -0.7824587 0.6227024 -9.94442e-6 -0.9660564 -0.2583317 7.85609e-6 -0.9789675 0.2040165 4.31515e-6 -0.9660484 -0.2583614 -1 0 0 0 0.996908 -0.07857805 0 0.9135454 0.4067369 0 0.9135454 0.4067369 -1 0 0 0 0.4772759 -0.8787536 -1 0 0 -1 0 0 0 0.996908 -0.07857805 0 0 -1 0 0.4772759 -0.8787536 0 -0.3826646 -0.9238874 0 0 -1 0 -0.9238799 -0.3826825 0 -0.3826646 -0.9238874 0 -1 0 0 -0.9238799 -0.3826825 0 -0.8968868 0.4422603 0 -1 0 0 -0.1950923 0.9807849 0 -0.8968868 0.4422603 0 0.6593559 0.7518309 0 -0.1950923 0.9807849 0 0.9238799 0.3826826 0 0.6593559 0.7518309 0 0.9992335 0.03914737 0 0.9238799 0.3826826 0 0.7856109 -0.6187208 0 0.9992335 0.03914737 0 0.8006884 -0.5990812 0 0.7856109 -0.6187208 -3.1334e-5 0.9935133 0.1137163 -1.43686e-5 0.8006766 -0.5990967 2.3701e-5 0.9935217 0.1136422 2.17155e-5 0.6444798 0.7646214 0 0.6445023 0.7646025 0 0 -1 0 0.3826646 -0.9238874 0 0.3826646 -0.9238874 0 -0.4657189 -0.8849327 0 0 -1 0 -0.993055 -0.1176511 0 -0.4657189 -0.8849327 0 -0.9335803 0.358368 0 -0.993055 -0.1176511 0 -0.6756134 0.7372561 0 -0.9335803 0.358368 0 0.1822308 0.9832558 0 -0.6756134 0.7372561 0 0.8949407 0.4461852 0 0.1822308 0.9832558 0 1 0 0 0.8949407 0.4461852 0 0.9238799 -0.3826825 0 1 0 0 0.9238799 -0.3826825 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 1.36974e-4 -0.7071392 -0.7070744 9.22831e-5 -0.9659265 -0.2588165 -1.23313e-4 -0.2588433 -0.9659193 3.63514e-4 -0.7071065 -0.7071069 0 -0.2588191 -0.9659258 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9238795 -0.3826836 0 0.9238795 -0.3826836 0 0.9238795 0.3826836 0 1 0 0 0.382685 0.9238788 0 0.9238795 0.3826836 0 0 1 0 0.382685 0.9238788 0 0 1 0 0 -1 0 1 0 0 1 0 0 0.382685 -0.9238788 0 0 -1 0 0.382685 -0.9238788 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660357 0.4999822 0 -0.8660359 -0.4999819 0 -0.8660359 -0.4999819 0 0 1 0 -0.8660357 0.4999822 0 0.8660484 0.4999601 0 0 1 0 0.8660485 -0.4999599 0 0.8660484 0.4999601 0 0 0 -1 0 -1 0 0.8660485 -0.4999599 0 0 0 -1 0 -1 0 -0.866035 0.4999834 0 0 0 -1 -0.8660352 -0.499983 0 -0.8660352 -0.499983 0 0 1 0 -0.866035 0.4999834 0 0.8660477 0.4999614 0 0 1 0 0.8660479 -0.499961 0 0.8660477 0.4999614 0 0 0 -1 0 -1 0 0.8660479 -0.499961 0 0 0 -1 0 -1 0 -0.8660352 0.499983 0 0 0 -1 -0.866035 -0.4999834 0 0 0 -1 -0.866035 -0.4999834 0 0 1 0 -0.8660352 0.499983 0 0.8660479 0.499961 0 0 1 0 0.8660477 -0.4999614 0 0.8660479 0.499961 0 0 -1 0 0.8660477 -0.4999614 0 0 0 -1 0 -1 0 -0.8660359 0.4999819 0 -0.8660357 -0.4999822 0 -0.8660357 -0.4999822 0 0 1 0 -0.8660359 0.4999819 0 0.8660485 0.4999599 0 0 1 0 0.8660484 -0.4999601 0 0.8660485 0.4999599 0 0 -1 0 0.8660484 -0.4999601 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0.5002008 -0.8659095 1 0 0 -3.83643e-5 -0.5002008 -0.8659095 1 0 0 0 -0.500005 -0.8660225 1 0 0 4.74115e-6 1 0 -3.83711e-5 0.500005 -0.8660225 1 0 0 -4.54917e-5 0.5002372 0.8658884 1 0 0 1 0 0 4.74115e-6 1 0 1 0 0 0 -0.5002372 0.8658884 1 0 0 0 0.500005 0.8660225 1 0 0 4.74115e-6 -1 0 -4.55078e-5 -0.500005 0.8660225 1 0 0 1 0 0 4.74115e-6 -1 0 1 0 0 0 -0.2585664 -0.9659935 1 0 0 -4.41883e-5 -0.9659909 -0.258576 1 0 0 0 -0.9659236 -0.2588276 1 0 0 3.74098e-6 0.7070873 -0.7071262 -4.02614e-5 -0.2587956 -0.9659321 1 0 0 -4.34074e-5 0.9659897 0.2585809 1 0 0 1 0 0 1.03918e-5 0.7071151 -0.7070986 1 0 0 0 0.2585529 0.965997 1 0 0 0 0.9659234 0.258828 1 0 0 7.69209e-6 -0.7071005 0.7071131 -4.17057e-5 0.2587903 0.9659336 1 0 0 9.82428e-6 -0.7071095 0.7071043 1 0 0 0 -0.8659158 -0.5001899 1 0 0 -4.12398e-5 -0.8659035 0.5002109 1 0 0 0 -0.8660252 0.5000005 1 0 0 7.64465e-6 0 -1 -4.12499e-5 -0.8660373 -0.4999794 1 0 0 -4.06034e-5 0.8659057 -0.5002074 1 0 0 7.64465e-6 0 -1 1 0 0 0 0.8658935 0.5002284 1 0 0 0 0.8660252 -0.5000002 1 0 0 7.64465e-6 0 1 -4.06083e-5 0.8660132 0.5000212 1 0 0 7.64465e-6 0 1 1 0 0 0 -0.9659904 0.2585778 1 0 0 -4.13906e-5 -0.2585859 0.9659883 1 0 0 0 -0.2588215 0.9659253 1 0 0 6.0811e-6 -0.7071092 -0.7071045 1 0 0 -4.28277e-5 -0.9659252 0.2588216 1 0 0 -4.22669e-5 0.2585788 -0.9659902 1 0 0 7.27853e-6 -0.7071042 -0.7071095 1 0 0 0 0.9659894 -0.2585818 0 0.2588194 -0.9659258 1 0 0 7.48586e-6 0.7070907 0.7071228 1 0 0 1 0 0 -4.23521e-5 0.9659248 -0.2588228 2.91308e-6 0.7071098 0.7071037 1 0 0 0 -0.5002346 0.8658899 1 0 0 -4.29459e-5 0.5002346 0.8658899 1 0 0 0 0.5000154 0.8660165 1 0 0 4.74115e-6 -1 0 -4.29617e-5 -0.5000154 0.8660165 1 0 0 -4.60012e-5 -0.5002294 -0.865893 1 0 0 1 0 0 4.74115e-6 -1 0 1 0 0 0 0.5002294 -0.865893 1 0 0 0 -0.4999946 -0.8660285 1 0 0 4.74115e-6 1 0 -4.6009e-5 0.4999946 -0.8660285 1 0 0 1 0 0 4.74115e-6 1 0 1 0 0 0 0.2585859 0.9659883 1 0 0 -4.28199e-5 0.9659904 0.2585778 1 0 0 0 0.9659252 0.2588216 1 0 0 2.90958e-6 -0.7070907 0.7071228 -4.13963e-5 0.2588215 0.9659253 1 0 0 -4.2343e-5 -0.9659894 -0.2585818 1 0 0 1 0 0 7.48719e-6 -0.7071098 0.7071037 1 0 0 0 -0.2585788 -0.9659902 1 0 0 0 -0.9659248 -0.2588228 1 0 0 7.27692e-6 0.7071092 -0.7071045 -4.22771e-5 -0.2588194 -0.9659258 1 0 0 6.08492e-6 0.7071042 -0.7071095 1 0 0 0 0.8659035 0.5002109 1 0 0 -4.12406e-5 0.8659158 -0.5001899 1 0 0 0 0.8660373 -0.4999794 1 0 0 7.64465e-6 0 1 -4.12433e-5 0.8660252 0.5000005 1 0 0 -4.06026e-5 -0.8658935 0.5002284 1 0 0 7.64465e-6 0 1 1 0 0 0 -0.8659057 -0.5002074 1 0 0 0 -0.8660132 0.5000212 1 0 0 7.64465e-6 0 -1 -4.0615e-5 -0.8660252 -0.5000002 1 0 0 7.64465e-6 0 -1 1 0 0 0 0.9659909 -0.258576 1 0 0 -4.0254e-5 0.2585664 -0.9659935 1 0 0 0 0.2587956 -0.9659321 1 0 0 9.82411e-6 0.7071005 0.7071131 1 0 0 -4.41976e-5 0.9659236 -0.2588276 1 0 0 -4.1698e-5 -0.2585529 0.965997 1 0 0 7.69582e-6 0.7071095 0.7071043 1 0 0 0 -0.9659897 0.2585809 0 -0.2587903 0.9659336 1 0 0 1.03969e-5 -0.7070873 -0.7071262 1 0 0 1 0 0 -4.34172e-5 -0.9659234 0.258828 3.74774e-6 -0.7071151 -0.7070986 0 -0.3090689 0.9510396 1.58891e-6 0.3090689 0.9510396 0 0.3090702 0.9510393 3.92462e-5 -0.8090569 0.5877304 1.58111e-6 -0.3090702 0.9510393 1 0 0 5.60567e-5 -1 0 -8.3535e-5 -0.808994 0.5878169 -8.30954e-5 -0.8090571 -0.5877301 5.60567e-5 -1 0 8.33684e-6 -0.3090622 -0.9510418 4.34116e-5 -0.8089923 -0.5878193 0 0.3090622 -0.9510418 0 -0.3090691 -0.9510396 4.34167e-5 0.8090571 -0.5877301 8.3373e-6 0.3090691 -0.9510396 1 0 0 5.60567e-5 1 0 -8.31186e-5 0.8089924 -0.5878193 -8.35125e-5 0.8090569 0.5877304 5.60567e-5 1 0 3.92407e-5 0.808994 0.5878169 0.6947446 -0.6947498 0.186152 0.6946552 -0.6948333 -0.1861742 0.6947442 -0.6947494 -0.1861551 0.7047016 -0.5629202 0.4318756 0.6946899 -0.6948003 0.1861677 -0.9852985 -0.103994 0.1355438 0.6946917 -0.1861701 0.6947978 0.6956204 -0.5079971 0.5079874 0.6948216 0.1861377 0.6946766 0.694821 -0.1861425 0.694676 0.7046961 0.4318894 0.5629166 0.6946924 0.1861746 0.6947959 -0.9852982 0.1355465 0.1039921 0.6946896 0.6948012 0.1861658 0.6956291 0.5079912 0.5079815 0.6947447 0.6947498 -0.1861518 0.6947444 0.6947497 0.1861541 0.7046234 0.5629782 -0.4319276 0.6946555 0.6948323 -0.1861773 -0.985298 0.1039961 -0.1355456 0.6947883 0.1861472 -0.6947073 0.6956903 0.5079519 -0.5079369 0.6947679 -0.1861523 -0.6947265 0.694768 0.1861515 -0.6947266 0.7047719 -0.4318456 -0.5628552 0.6947882 -0.1861464 -0.6947077 -0.985296 -0.1355559 -0.1040011 0.6955358 -0.5080578 -0.5080428 -2.15332e-6 0.9659271 0.2588145 0 0.9659268 0.2588153 0 0.9659267 -0.258816 -9.99006e-5 0.7071135 0.7071001 0 0.2588251 0.9659242 2.56289e-5 0.258816 0.9659267 -1.23945e-4 0.7071073 0.7071064 2.56153e-5 -0.2588251 0.9659242 0 -0.258816 0.9659267 -9.98197e-5 -0.7071135 0.7071001 -1.23909e-4 -0.7071073 0.7071064 0 -0.9659271 0.2588145 -2.18998e-6 -0.9659268 0.2588153 0 -0.9659264 -0.2588167 -2.15361e-6 -0.9659267 -0.258816 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.13081e-6 0.9659264 -0.2588167 -9.97817e-5 -0.7071172 -0.7070964 0 -0.2588192 -0.9659258 1.04765e-5 -0.2588155 -0.9659268 -1.35036e-4 -0.7071081 -0.7071055 1.04661e-5 0.2588192 -0.9659258 0 0.2588155 -0.9659268 -9.98188e-5 0.7071172 -0.7070964 -1.35033e-4 0.7071081 -0.7071055 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9659227 0.2588309 0 -1 0 0 -1 0 0 -0.9659265 -0.2588165 0 -0.9659265 -0.2588165 -1 0 0 -1.25543e-4 -0.7071409 0.7070727 8.13842e-5 -0.9659269 0.2588149 -1 0 0 3.03981e-4 -0.2588759 0.9659106 -1 0 0 -1 0 0 -3.63914e-4 -0.7071065 0.7071069 -1 0 0 0 0.258876 0.9659106 -1 0 0 0 -0.2588162 0.9659266 -1 0 0 -1.25455e-4 0.7071409 0.7070727 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 3.04083e-4 0.2588162 0.9659265 -3.63953e-4 0.7071066 0.7071069 -1 0 0 8.13542e-5 0.9659227 0.2588309 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 0.9659329 -0.2587931 -1.16263e-5 0.9659315 -0.2587984 0 0.9659314 -0.2587984 0 0.9659269 0.2588149 0 0.9238548 -0.3827432 0 1 0 0 1 0 0 1 0 0 0.3827524 -0.9238509 0 0.9238548 -0.3827432 0 0 -1 0 0.3827524 -0.9238509 0 0 -1 0 0 -1 -1 0 0 0 -0.3827524 -0.9238509 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 0 -0.9238548 -0.3827432 -1 0 0 -1 0 0 0 -0.3827524 -0.9238509 -1 0 0 -1 0 0 0 -1 0 0 -0.9238548 -0.3827432 0 0.2588326 0.9659222 5.25014e-5 -0.2588326 0.9659222 0 -0.2587542 0.9659432 1.31719e-6 0.7071061 0.7071075 5.31719e-5 0.2587532 0.9659435 -1.32397e-4 0.9659217 0.2588345 7.28126e-5 0.707028 0.7071856 -1.01653e-4 0.965922 -0.258833 -1.01652e-4 0.9659094 0.2588803 7.27694e-5 0.7071061 -0.7071075 -1.3238e-4 0.9659097 -0.258879 5.31643e-5 0.2588326 -0.9659222 1.32868e-6 0.707028 -0.7071856 0 -0.2588326 -0.9659222 0 0.2587532 -0.9659435 -4.93773e-7 -0.7071059 -0.7071077 5.25088e-5 -0.2587542 -0.9659432 -1.18006e-4 -0.9659233 -0.2588286 8.33554e-5 -0.7070143 -0.7071992 -8.4336e-5 -0.9659228 0.2588301 -8.43348e-5 -0.9659097 -0.258879 8.33062e-5 -0.7071059 0.7071077 -1.17986e-4 -0.9659094 0.2588803 -4.80063e-7 -0.7070143 0.7071993 1 0 0 1 0 0 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 4.67825e-5 0.7071406 -0.707073 1 0 0 1 0 0 5.09853e-5 0.7071391 -0.7070744 1 0 0 5.77558e-5 0.2588387 -0.9659206 1 0 0 1 0 0 1 0 0 6.78546e-5 -0.2588387 -0.9659206 6.78436e-5 0.2588433 -0.9659193 1 0 0 -7.63391e-5 -0.7071406 -0.707073 1 0 0 1 0 0 1 0 0 0 -0.2588697 -0.9659122 7.74147e-5 -0.2588191 -0.9659258 1 0 0 -3.58272e-5 -0.9659327 -0.2587931 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -5.37492e-6 -0.7071066 -0.707107 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 0 1 0 0 1 1 0 0 0 0.3090308 -0.951052 1 0 0 9.48127e-5 -0.3090308 -0.951052 1 0 0 1 0 0 1 0 0 0 -0.3090694 -0.9510395 1 0 0 -1.29683e-4 0.809019 -0.5877825 1 0 0 9.47929e-5 0.3090694 -0.9510395 1 0 0 2.11101e-4 1 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.21422e-4 0.8089959 -0.5878143 1 0 0 -2.21413e-4 0.8090161 0.5877866 1 0 0 1 0 0 2.11101e-4 1 0 1 0 0 7.59154e-5 0.3090347 0.9510508 1 0 0 -1.4138e-4 0.8089959 0.5878143 1 0 0 0 -0.3090347 0.9510508 1 0 0 1 0 0 1 0 0 0 0.3090656 0.9510408 1 0 0 -1.4136e-4 -0.8090161 0.5877866 1 0 0 7.59422e-5 -0.3090656 0.9510408 1 0 0 2.11101e-4 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.21422e-4 -0.8089959 0.5878143 1 0 0 -2.2141e-4 -0.8090189 -0.5877825 1 0 0 1 0 0 1 0 0 1 0 0 2.11101e-4 -1 0 1 0 0 -1.29682e-4 -0.8089959 -0.5878143 1 0 0 0.6546587 0.3779489 -0.6546577 1 0 0 0.6546691 -0.3779444 -0.6546498 0.654653 -0.3779686 -0.6546519 1 0 0 0.6545349 0.7560318 0 0.6546748 0.3779591 -0.6546357 0.6546648 0.377933 0.6546607 0.6545349 0.7560318 0 0.6546463 -0.377941 0.6546745 0.6546363 0.3779758 0.6546645 1 0 0 0.6545349 -0.7560318 0 1 0 0 0.6546748 -0.3779591 0.6546356 1 0 0 0.6545349 -0.7560318 0 0.6546634 0.7301569 -0.1956701 0.6546832 0.1956762 -0.7301375 0.6546396 0.1956343 -0.7301879 0.6545472 0.5345892 0.5345862 0.6546778 0.7301494 -0.1956499 0.6546807 -0.195674 0.7301403 0.6545466 0.5345901 0.5345861 0.6546544 -0.7301647 0.1956715 0.654636 -0.195631 0.730192 0.6545422 -0.5345914 -0.5345902 0.6546679 -0.7301576 0.1956524 0.6545357 -0.534601 -0.5345885 0.6546592 0.6546597 0.3779444 0.6546676 0.6546578 -0.3779332 0.6546585 0.654659 -0.3779467 0.6545349 0 0.7560318 0.654676 0.6546367 0.3779551 0.6546801 -0.6546433 0.3779366 0.6545349 0 0.7560318 0.6546628 -0.6546607 -0.3779364 0.6546496 -0.6546475 0.3779823 1 0 0 0.6545349 0 -0.7560318 0.6546856 -0.6546297 -0.3779509 1 0 0 0.6545349 0 -0.7560318 0.6546558 0.1956718 0.7301632 0.6546754 0.730147 0.1956664 0.6546581 0.7301672 0.1956496 0.6545248 -0.5346007 0.534602 0.6546741 0.1956461 0.7301537 1 0 0 0.6546688 -0.7301528 -0.1956673 1 0 0 0.6545282 -0.5346016 0.534597 1 0 0 0.6546649 -0.1956682 -0.730156 1 0 0 0.6546527 -0.7301714 -0.1956518 0.6545422 0.5345916 -0.5345899 1 0 0 1 0 0 1 0 0 0.6546831 -0.1956424 -0.7301466 0.6545389 0.5345908 -0.5345948 0.6546596 -0.3779419 0.6546607 1 0 0 0.654679 0.3779336 0.6546463 0.6546492 0.377978 0.6546502 1 0 0 0.6545349 -0.7560318 0 1 0 0 0.6546894 -0.3779607 0.6546202 1 0 0 0.65467 -0.3779393 -0.6546519 1 0 0 0.654535 -0.7560318 0 1 0 0 0.6546615 0.377943 -0.6546584 1 0 0 1 0 0 0.6546568 -0.3779591 -0.6546536 1 0 0 0.6545349 0.7560318 0 1 0 0 1 0 0 0.6546746 0.3779513 -0.6546403 1 0 0 0.6545349 0.7560318 0 0.6546642 -0.7301564 0.195669 0.6546676 -0.1956692 0.7301533 0.6546494 -0.1956516 0.7301744 0.6545401 -0.5345929 -0.5345912 0.6546816 -0.7301474 0.1956444 0.6546768 0.1956655 -0.7301461 0.6545433 -0.5345881 -0.534592 0.6546584 0.7301615 -0.1956697 1 0 0 0.6546586 0.195648 -0.7301672 0.654527 0.5345994 0.5346007 0.6546744 0.7301531 -0.195647 0.6545236 0.5346044 0.5345998 0.6546617 -0.6546622 -0.3779357 0.6546701 -0.6546515 0.3779397 0.6546533 -0.6546538 0.3779649 0.6545349 0 -0.7560318 0.6546708 -0.6546497 -0.3779414 0.6546775 0.6546496 -0.37793 0.6545349 0 -0.7560318 0.6546603 0.6546582 0.3779451 0.6546548 0.6546527 -0.3779642 0.6545349 0 0.7560318 0.6546908 0.6546165 0.3779644 0.6545349 0 0.7560318 0.6546549 -0.1956825 -0.7301611 0.6546727 -0.730149 -0.1956681 0.6546584 -0.7301657 -0.1956542 0.6545379 0.5345939 -0.5345926 0.6546984 -0.195621 -0.7301386 0.6546632 0.7301572 0.1956695 0.6545444 0.5345956 -0.5345831 0.6546517 0.1956805 0.7301645 0.6546496 0.7301729 0.1956565 0.6545468 -0.5345894 0.5345864 0.6546963 0.1956175 0.7301414 0.6545473 -0.5345895 0.5345857 1 0 0 0 -0.4999977 0.8660266 1 0 0 0 0.5000065 0.8660216 1 0 0 1 0 0 1 0 0 0 0.5000065 0.8660216 1 0 0 0 -1 0 1 0 0 0 -0.4999977 0.8660266 1 0 0 0 -0.4999828 -0.8660353 1 0 0 0 -1 0 1 0 0 0 0.4999917 -0.8660303 1 0 0 1 0 0 0 -0.4999828 -0.8660353 1 0 0 0 1 0 1 0 0 0 0.4999917 -0.8660303 0 1 0 1 0 0 0 0.6834336 -0.7300127 5.90852e-6 0.7468608 -0.6649805 0 0.7468523 -0.66499 1 0 0 0 0.8603869 -0.5096414 1 0 0 0 0.6834336 -0.7300127 1 0 0 0 0.9238798 -0.3826831 1 0 0 1 0 0 0 0.8603869 -0.5096414 1 0 0 0 0.9734308 0.2289811 1 0 0 0 0.9238798 -0.3826831 0 0.09260642 0.9957028 0 0.9734308 0.2289811 0 -0.3248715 0.9457581 0 0.09260642 0.9957028 -5.23174e-6 0.06925088 0.9975992 -6.48057e-5 -0.3248391 0.9457693 -2.34087e-5 0.06924128 0.9975999 -9.00227e-5 0.4524431 0.8917933 0 0.3370676 0.9414804 0 0.4524006 0.8918148 0 -0.303072 0.9529676 0 0.3370676 0.9414804 0 -0.8190724 0.5736901 0 -0.303072 0.9529676 1 0 0 0 -0.9991709 -0.0407108 0 -0.8190724 0.5736901 1 0 0 0 -0.9335806 -0.3583677 1 0 0 1 0 0 1 0 0 0 -0.9991709 -0.0407108 1 0 0 0 -0.5771523 -0.8166365 1 0 0 0 -0.9335806 -0.3583677 1 0 0 0 0.5336227 -0.8457227 1 0 0 0 -0.5771523 -0.8166365 1 0 0 0 0.9135448 -0.406738 1 0 0 0 0.5336227 -0.8457227 1 0 0 0 0.9961677 -0.0874629 0 0.9135448 -0.406738 1 0 0 0 0.8395829 0.5432317 0 0.9961677 -0.0874629 0 0.7824444 0.6227205 1 0 0 0 0.8395829 0.5432317 3.79618e-6 0.9789624 0.2040412 -1.06544e-5 0.7824587 0.6227024 9.94442e-6 0.9660564 -0.2583317 -7.85609e-6 0.9789675 0.2040165 -4.31515e-6 0.9660484 -0.2583614 1 0 0 0 -0.996908 -0.07857805 0 -0.9135454 0.4067369 0 -0.9135454 0.4067369 1 0 0 0 -0.4772759 -0.8787536 1 0 0 1 0 0 0 -0.996908 -0.07857805 0 0 -1 0 -0.4772759 -0.8787536 0 0.3826646 -0.9238874 0 0 -1 0 0.9238799 -0.3826825 0 0.3826646 -0.9238874 0 1 0 0 0.9238799 -0.3826825 0 0.8968868 0.4422603 0 1 0 0 0.1950923 0.9807849 0 0.8968868 0.4422603 0 -0.6593559 0.7518309 0 0.1950923 0.9807849 0 -0.9238799 0.3826826 0 -0.6593559 0.7518309 0 -0.9992335 0.03914737 0 -0.9238799 0.3826826 0 -0.7856109 -0.6187208 0 -0.9992335 0.03914737 0 -0.8006884 -0.5990812 0 -0.7856109 -0.6187208 3.1334e-5 -0.9935133 0.1137163 1.43686e-5 -0.8006766 -0.5990967 -2.3701e-5 -0.9935217 0.1136422 -2.17155e-5 -0.6444798 0.7646214 0 -0.6445023 0.7646025 0 0 -1 0 -0.3826646 -0.9238874 0 -0.3826646 -0.9238874 0 0.4657189 -0.8849327 0 0 -1 0 0.993055 -0.1176511 0 0.4657189 -0.8849327 0 0.9335803 0.358368 0 0.993055 -0.1176511 0 0.6756134 0.7372561 0 0.9335803 0.358368 0 -0.1822308 0.9832558 0 0.6756134 0.7372561 0 -0.8949407 0.4461852 0 -0.1822308 0.9832558 0 -1 0 0 -0.8949407 0.4461852 0 -0.9238799 -0.3826825 0 -1 0 0 -0.9238799 -0.3826825 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 -1.36974e-4 0.7071392 -0.7070744 -9.22831e-5 0.9659265 -0.2588165 1.23313e-4 0.2588433 -0.9659193 -3.63514e-4 0.7071065 -0.7071069 0 0.2588191 -0.9659258 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238795 0.3826836 0 -0.9238795 0.3826836 0 -0.9238795 -0.3826836 0 -1 0 0 -0.382685 -0.9238788 0 -0.9238795 -0.3826836 0 0 -1 0 -0.382685 -0.9238788 0 0 -1 0 0 1 0 -1 0 0 -1 0 0 -0.382685 0.9238788 0 0 1 0 -0.382685 0.9238788 0 -1 0 0 0 0 1 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660357 -0.4999822 0 0.8660359 0.4999819 0 0.8660359 0.4999819 0 0 -1 0 0.8660357 -0.4999822 0 -0.8660484 -0.4999601 0 0 -1 0 -0.8660485 0.4999599 0 -0.8660484 -0.4999601 0 0 0 -1 0 1 0 -0.8660485 0.4999599 0 0 0 -1 0 1 0 0.866035 -0.4999834 0 0 0 -1 0.8660352 0.499983 0 0.8660352 0.499983 0 0 -1 0 0.866035 -0.4999834 0 -0.8660477 -0.4999614 0 0 -1 0 -0.8660479 0.499961 0 -0.8660477 -0.4999614 0 0 0 -1 0 1 0 -0.8660479 0.499961 0 0 0 -1 0 1 0 0.8660352 -0.499983 0 0 0 -1 0.866035 0.4999834 0 0 0 -1 0.866035 0.4999834 0 0 -1 0 0.8660352 -0.499983 0 -0.8660479 -0.499961 0 0 -1 0 -0.8660477 0.4999614 0 -0.8660479 -0.499961 0 0 1 0 -0.8660477 0.4999614 0 0 0 -1 0 1 0 0.8660359 -0.4999819 0 0.8660357 0.4999822 0 0.8660357 0.4999822 0 0 -1 0 0.8660359 -0.4999819 0 -0.8660485 -0.4999599 0 0 -1 0 -0.8660484 0.4999601 0 -0.8660485 -0.4999599 0 0 1 0 -0.8660484 0.4999601 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 0 -0.5002008 -0.8659095 -1 0 0 3.83643e-5 0.5002008 -0.8659095 -1 0 0 0 0.500005 -0.8660225 -1 0 0 -4.74115e-6 -1 0 3.83711e-5 -0.500005 -0.8660225 -1 0 0 4.54917e-5 -0.5002372 0.8658884 -1 0 0 -1 0 0 -4.74115e-6 -1 0 -1 0 0 0 0.5002372 0.8658884 -1 0 0 0 -0.500005 0.8660225 -1 0 0 -4.74115e-6 1 0 4.55078e-5 0.500005 0.8660225 -1 0 0 -1 0 0 -4.74115e-6 1 0 -1 0 0 0 0.2585664 -0.9659935 -1 0 0 4.41883e-5 0.9659909 -0.258576 -1 0 0 0 0.9659236 -0.2588276 -1 0 0 -3.74098e-6 -0.7070873 -0.7071262 4.02614e-5 0.2587956 -0.9659321 -1 0 0 4.34074e-5 -0.9659897 0.2585809 -1 0 0 -1 0 0 -1.03918e-5 -0.7071151 -0.7070986 -1 0 0 0 -0.2585529 0.965997 -1 0 0 0 -0.9659234 0.258828 -1 0 0 -7.69209e-6 0.7071005 0.7071131 4.17057e-5 -0.2587903 0.9659336 -1 0 0 -9.82428e-6 0.7071095 0.7071043 -1 0 0 0 0.8659158 -0.5001899 -1 0 0 4.12398e-5 0.8659035 0.5002109 -1 0 0 0 0.8660252 0.5000005 -1 0 0 -7.64465e-6 0 -1 4.12499e-5 0.8660373 -0.4999794 -1 0 0 4.06034e-5 -0.8659057 -0.5002074 -1 0 0 -7.64465e-6 0 -1 -1 0 0 0 -0.8658935 0.5002284 -1 0 0 0 -0.8660252 -0.5000002 -1 0 0 -7.64465e-6 0 1 4.06083e-5 -0.8660132 0.5000212 -1 0 0 -7.64465e-6 0 1 -1 0 0 0 0.9659904 0.2585778 -1 0 0 4.13906e-5 0.2585859 0.9659883 -1 0 0 0 0.2588215 0.9659253 -1 0 0 -6.0811e-6 0.7071092 -0.7071045 -1 0 0 4.28277e-5 0.9659252 0.2588216 -1 0 0 4.22669e-5 -0.2585788 -0.9659902 -1 0 0 -7.27853e-6 0.7071042 -0.7071095 -1 0 0 0 -0.9659894 -0.2585818 0 -0.2588194 -0.9659258 -1 0 0 -7.48586e-6 -0.7070907 0.7071228 -1 0 0 -1 0 0 4.23521e-5 -0.9659248 -0.2588228 -2.91308e-6 -0.7071098 0.7071037 -1 0 0 0 0.5002346 0.8658899 -1 0 0 4.29459e-5 -0.5002346 0.8658899 -1 0 0 0 -0.5000154 0.8660165 -1 0 0 -4.74115e-6 1 0 4.29617e-5 0.5000154 0.8660165 -1 0 0 4.60012e-5 0.5002294 -0.865893 -1 0 0 -1 0 0 -4.74115e-6 1 0 -1 0 0 0 -0.5002294 -0.865893 -1 0 0 0 0.4999946 -0.8660285 -1 0 0 -4.74115e-6 -1 0 4.6009e-5 -0.4999946 -0.8660285 -1 0 0 -1 0 0 -4.74115e-6 -1 0 -1 0 0 0 -0.2585859 0.9659883 -1 0 0 4.28199e-5 -0.9659904 0.2585778 -1 0 0 0 -0.9659252 0.2588216 -1 0 0 -2.90958e-6 0.7070907 0.7071228 4.13963e-5 -0.2588215 0.9659253 -1 0 0 4.2343e-5 0.9659894 -0.2585818 -1 0 0 -1 0 0 -7.48719e-6 0.7071098 0.7071037 -1 0 0 0 0.2585788 -0.9659902 -1 0 0 0 0.9659248 -0.2588228 -1 0 0 -7.27692e-6 -0.7071092 -0.7071045 4.22771e-5 0.2588194 -0.9659258 -1 0 0 -6.08492e-6 -0.7071042 -0.7071095 -1 0 0 0 -0.8659035 0.5002109 -1 0 0 4.12406e-5 -0.8659158 -0.5001899 -1 0 0 0 -0.8660373 -0.4999794 -1 0 0 -7.64465e-6 0 1 4.12433e-5 -0.8660252 0.5000005 -1 0 0 4.06026e-5 0.8658935 0.5002284 -1 0 0 -7.64465e-6 0 1 -1 0 0 0 0.8659057 -0.5002074 -1 0 0 0 0.8660132 0.5000212 -1 0 0 -7.64465e-6 0 -1 4.0615e-5 0.8660252 -0.5000002 -1 0 0 -7.64465e-6 0 -1 -1 0 0 0 -0.9659909 -0.258576 -1 0 0 4.0254e-5 -0.2585664 -0.9659935 -1 0 0 0 -0.2587956 -0.9659321 -1 0 0 -9.82411e-6 -0.7071005 0.7071131 -1 0 0 4.41976e-5 -0.9659236 -0.2588276 -1 0 0 4.1698e-5 0.2585529 0.965997 -1 0 0 -7.69582e-6 -0.7071095 0.7071043 -1 0 0 0 0.9659897 0.2585809 0 0.2587903 0.9659336 -1 0 0 -1.03969e-5 0.7070873 -0.7071262 -1 0 0 -1 0 0 4.34172e-5 0.9659234 0.258828 -3.74774e-6 0.7071151 -0.7070986 0 0.3090689 0.9510396 -1.58891e-6 -0.3090689 0.9510396 0 -0.3090702 0.9510393 -3.92462e-5 0.8090569 0.5877304 -1.58111e-6 0.3090702 0.9510393 -1 0 0 -5.60567e-5 1 0 8.3535e-5 0.808994 0.5878169 8.30954e-5 0.8090571 -0.5877301 -5.60567e-5 1 0 -8.33684e-6 0.3090622 -0.9510418 -4.34116e-5 0.8089923 -0.5878193 0 -0.3090622 -0.9510418 0 0.3090691 -0.9510396 -4.34167e-5 -0.8090571 -0.5877301 -8.3373e-6 -0.3090691 -0.9510396 -1 0 0 -5.60567e-5 -1 0 8.31186e-5 -0.8089924 -0.5878193 8.35125e-5 -0.8090569 0.5877304 -5.60567e-5 -1 0 -3.92407e-5 -0.808994 0.5878169 -0.6947446 0.6947498 0.186152 -0.6946552 0.6948333 -0.1861742 -0.6947442 0.6947494 -0.1861551 -0.7047016 0.5629202 0.4318756 -0.6946899 0.6948003 0.1861677 0.9852985 0.103994 0.1355438 -0.6946917 0.1861701 0.6947978 -0.6956204 0.5079971 0.5079874 -0.6948216 -0.1861377 0.6946766 -0.694821 0.1861425 0.694676 -0.7046961 -0.4318894 0.5629166 -0.6946924 -0.1861746 0.6947959 0.9852982 -0.1355465 0.1039921 -0.6946896 -0.6948012 0.1861658 -0.6956291 -0.5079912 0.5079815 -0.6947447 -0.6947498 -0.1861518 -0.6947444 -0.6947497 0.1861541 -0.7046234 -0.5629782 -0.4319276 -0.6946555 -0.6948323 -0.1861773 0.985298 -0.1039961 -0.1355456 -0.6947883 -0.1861472 -0.6947073 -0.6956903 -0.5079519 -0.5079369 -0.6947679 0.1861523 -0.6947265 -0.694768 -0.1861515 -0.6947266 -0.7047719 0.4318456 -0.5628552 -0.6947882 0.1861464 -0.6947077 0.985296 0.1355559 -0.1040011 -0.6955358 0.5080578 -0.5080428 2.15332e-6 -0.9659271 0.2588145 0 -0.9659268 0.2588153 0 -0.9659267 -0.258816 9.99006e-5 -0.7071135 0.7071001 0 -0.2588251 0.9659242 -2.56289e-5 -0.258816 0.9659267 1.23945e-4 -0.7071073 0.7071064 -2.56153e-5 0.2588251 0.9659242 0 0.258816 0.9659267 9.98197e-5 0.7071135 0.7071001 1.23909e-4 0.7071073 0.7071064 0 0.9659271 0.2588145 2.18998e-6 0.9659268 0.2588153 0 0.9659264 -0.2588167 2.15361e-6 0.9659267 -0.258816 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 2.13081e-6 -0.9659264 -0.2588167 9.97817e-5 0.7071172 -0.7070964 0 0.2588192 -0.9659258 -1.04765e-5 0.2588155 -0.9659268 1.35036e-4 0.7071081 -0.7071055 -1.04661e-5 -0.2588192 -0.9659258 0 -0.2588155 -0.9659268 9.98188e-5 -0.7071172 -0.7070964 1.35033e-4 -0.7071081 -0.7071055 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -0.7071136 -0.7070999 -1 0 0 0 0.7071209 -0.7070927 -1 0 0 0 0.7071209 -0.7070927 -1 0 0 0 -0.7071149 0.7070987 -1 0 0 -1 0 0 0 -0.7071136 -0.7070999 -1 0 0 0 0.7071222 0.7070915 -1 0 0 0 -0.7071149 0.7070987 -1 0 0 -1 0 0 0 0.7071222 0.7070915 -0.9021818 0.2156913 -0.3735576 -0.6548643 -0.3778917 -0.6544851 -0.8942809 -0.2512966 -0.3702861 -0.6545599 0.7560101 0 -0.6548594 0.377878 -0.6544979 -0.3316935 0.4983321 -0.8010272 -0.6548684 0.3778947 0.6544792 -0.65456 0.7560101 0 -0.9021825 -0.2156878 0.373558 -0.8942799 0.2513003 0.3702859 -0.6545593 -0.7560107 0 -0.6548597 -0.3778731 0.6545003 -0.331695 -0.4983257 0.8010305 -0.6545593 -0.7560107 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.707097 -0.7071166 0 0.7071065 -0.7071071 0 0.7071065 -0.7071071 0 -0.7070989 0.7071147 0 -0.707097 -0.7071166 0 0.7071083 0.7071052 0 -0.7070989 0.7071147 0 0.7071083 0.7071052 -1 0 0 -1 0 0 1 0 0 0.6546536 -0.3779648 -0.6546536 1 0 0 0.6546658 0.3779643 -0.6546416 1 0 0 0.6546528 0.3779674 -0.6546528 1 0 0 0.6546796 -0.7559065 0 1 0 0 0.6546649 -0.3779577 -0.6546463 1 0 0 0.6546667 -0.3779591 0.6546437 1 0 0 0.6546796 -0.7559065 0 1 0 0 0.654652 0.3779703 0.654652 1 0 0 0.6546543 -0.3779621 0.6546543 1 0 0 0.6546769 0.7559089 0 1 0 0 0.6546661 0.3779615 0.6546431 1 0 0 0.6546769 0.7559089 0 0 0 1 0 0.8660234 0.5000035 0 0 1 0 -0.8660223 0.5000054 0 -0.8660223 0.5000054 0 -0.8660234 -0.5000035 0 -0.8660234 -0.5000035 0 0 -1 0 0 -1 0 0.8660246 -0.5000016 0 0.8660246 -0.5000016 0 0.8660234 0.5000035 0 0.5000034 -0.8660234 0 0.5000034 -0.8660234 0 -0.4999974 -0.8660268 0 1 0 0 1 0 0 0.5000031 0.8660236 0 0.5000031 0.8660236 0 -0.4999972 0.866027 0 -0.4999972 0.866027 -0.3375589 0.4706551 0.8151918 0 -0.4999974 -0.8660268 -0.33756 -0.4706496 -0.8151946 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -0.7071209 -0.7070927 -1 0 0 0 0.7071136 -0.7070999 -1 0 0 0 0.7071136 -0.7070999 -1 0 0 0 -0.7071222 0.7070915 -1 0 0 -1 0 0 0 -0.7071209 -0.7070927 -1 0 0 0 0.7071149 0.7070987 -1 0 0 0 -0.7071222 0.7070915 -1 0 0 -1 0 0 0 0.7071149 0.7070987 -0.9021825 0.2156878 -0.373558 -0.6548662 -0.3778957 -0.6544808 -0.89428 -0.2513002 -0.3702856 -0.6545593 0.7560107 0 -0.6548575 0.3778743 -0.6545018 -0.331695 0.4983257 -0.8010305 -0.6548665 0.3778908 0.6544834 -0.6545593 0.7560107 0 -0.9021818 -0.2156913 0.3735576 -0.8942809 0.2512965 0.3702861 -0.6545599 -0.7560101 0 -0.6548616 -0.3778768 0.6544964 -0.3316935 -0.4983321 0.8010272 -0.6545599 -0.7560101 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.7071065 -0.7071071 0 0.707097 -0.7071166 0 0.707097 -0.7071166 0 -0.7071083 0.7071052 0 -0.7071065 -0.7071071 0 0.7070989 0.7071147 0 -0.7071083 0.7071052 0 0.7070989 0.7071147 -1 0 0 -1 0 0 1 0 0 0.654652 -0.3779703 -0.654652 1 0 0 0.6546655 0.3779596 -0.6546446 1 0 0 0.6546543 0.3779623 -0.6546543 1 0 0 0.6546769 -0.7559089 0 1 0 0 0.654665 -0.3779621 -0.6546437 1 0 0 0.654667 -0.3779638 0.6546408 1 0 0 0.6546769 -0.7559089 0 1 0 0 0.6546536 0.3779648 0.6546536 1 0 0 0.6546528 -0.3779671 0.6546528 1 0 0 0.6546796 0.7559065 0 1 0 0 0.654666 0.3779571 0.6546457 1 0 0 0.6546796 0.7559066 0 0 0 1 0 0.8660223 0.5000054 0 0 1 0 -0.8660234 0.5000035 0 -0.8660234 0.5000035 0 -0.8660246 -0.5000016 0 -0.8660246 -0.5000016 0 0 -1 0 0 -1 0 0.8660234 -0.5000035 0 0.8660234 -0.5000035 0 0.8660223 0.5000054 0 0.4999974 -0.8660268 0 0.4999974 -0.8660268 0 -0.5000034 -0.8660234 0 1 0 0 1 0 0 0.4999972 0.866027 0 0.4999972 0.866027 0 -0.5000031 0.8660236 0 -0.5000031 0.8660236 -0.3375601 0.4706494 0.8151947 0 -0.5000034 -0.8660234 -0.3375588 -0.4706554 -0.8151918 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071222 -0.7070915 1 0 0 0 -0.7071149 -0.7070987 1 0 0 0 -0.7071149 -0.7070987 1 0 0 0 0.7071209 0.7070927 1 0 0 1 0 0 0 0.7071222 -0.7070915 1 0 0 0 -0.7071136 0.7070999 1 0 0 0 0.7071209 0.7070927 1 0 0 1 0 0 0 -0.7071136 0.7070999 0.9021825 -0.2156878 -0.373558 0.6548684 0.3778947 -0.6544792 0.8942799 0.2513003 -0.3702859 0.6545593 -0.7560107 0 0.6548597 -0.3778731 -0.6545004 0.331695 -0.4983257 -0.8010305 0.6548643 -0.3778917 0.6544851 0.6545593 -0.7560107 0 0.9021818 0.2156913 0.3735576 0.8942809 -0.2512966 0.3702861 0.6545599 0.7560101 0 0.6548596 0.3778779 0.6544979 0.3316935 0.4983321 0.8010272 0.65456 0.7560101 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071083 -0.7071052 0 -0.7070989 -0.7071147 0 -0.7070989 -0.7071147 0 0.7071065 0.7071071 0 0.7071083 -0.7071052 0 -0.707097 0.7071166 0 0.7071065 0.7071071 0 -0.707097 0.7071166 1 0 0 1 0 0 -1 0 0 -0.654652 0.3779703 -0.654652 -1 0 0 -0.6546667 -0.3779591 -0.6546437 -1 0 0 -0.6546543 -0.3779621 -0.6546543 -1 0 0 -0.6546769 0.7559089 0 -1 0 0 -0.6546661 0.3779615 -0.6546431 -1 0 0 -0.6546658 0.3779643 0.6546416 -1 0 0 -0.6546769 0.7559089 0 -1 0 0 -0.6546536 -0.3779648 0.6546536 -1 0 0 -0.6546528 0.3779674 0.6546528 -1 0 0 -0.6546796 -0.7559065 0 -1 0 0 -0.6546648 -0.3779578 0.6546464 -1 0 0 -0.6546796 -0.7559065 0 0 0 1 0 -0.8660234 0.5000035 0 0 1 0 0.8660246 0.5000016 0 0.8660246 0.5000016 0 0.8660234 -0.5000035 0 0.8660234 -0.5000035 0 0 -1 0 0 -1 0 -0.8660223 -0.5000054 0 -0.8660223 -0.5000054 0 -0.8660234 0.5000035 0 -0.4999972 -0.866027 0 -0.4999972 -0.866027 0 0.5000031 -0.8660236 0 -1 0 0 -1 0 0 -0.4999974 0.8660268 0 -0.4999974 0.8660268 0 0.5000034 0.8660234 0 0.5000034 0.8660234 0.33756 -0.4706496 0.8151946 0 0.5000031 -0.8660236 0.3375589 0.4706551 -0.8151918 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7071209 -0.7070927 1 0 0 0 -0.7071136 -0.7070999 1 0 0 0 -0.7071136 -0.7070999 1 0 0 0 0.7071222 0.7070915 1 0 0 1 0 0 0 0.7071209 -0.7070927 1 0 0 0 -0.7071149 0.7070987 1 0 0 0 0.7071222 0.7070915 1 0 0 1 0 0 0 -0.7071149 0.7070987 0.9021825 -0.2156878 -0.373558 0.6548662 0.3778957 -0.6544808 0.89428 0.2513002 -0.3702856 0.6545593 -0.7560107 0 0.6548575 -0.3778743 -0.6545018 0.331695 -0.4983257 -0.8010305 0.6548665 -0.3778908 0.6544834 0.6545593 -0.7560107 0 0.9021818 0.2156913 0.3735576 0.8942809 -0.2512965 0.3702861 0.6545599 0.7560101 0 0.6548616 0.3778768 0.6544964 0.3316935 0.4983321 0.8010272 0.6545599 0.7560101 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071065 -0.7071071 0 -0.707097 -0.7071166 0 -0.707097 -0.7071166 0 0.7071083 0.7071052 0 0.7071065 -0.7071071 0 -0.7070989 0.7071147 0 0.7071083 0.7071052 0 -0.7070989 0.7071147 1 0 0 1 0 0 -1 0 0 -0.654652 0.3779703 -0.654652 -1 0 0 -0.6546655 -0.3779596 -0.6546446 -1 0 0 -0.6546543 -0.3779623 -0.6546543 -1 0 0 -0.6546769 0.7559089 0 -1 0 0 -0.654665 0.3779621 -0.6546437 -1 0 0 -0.654667 0.3779638 0.6546408 -1 0 0 -0.6546769 0.7559089 0 -1 0 0 -0.6546536 -0.3779648 0.6546536 -1 0 0 -0.6546528 0.3779671 0.6546528 -1 0 0 -0.6546796 -0.7559065 0 -1 0 0 -0.654666 -0.3779571 0.6546457 -1 0 0 -0.6546796 -0.7559066 0 0 0 1 0 -0.8660223 0.5000054 0 0 1 0 0.8660234 0.5000035 0 0.8660234 0.5000035 0 0.8660246 -0.5000016 0 0.8660246 -0.5000016 0 0 -1 0 0 -1 0 -0.8660234 -0.5000035 0 -0.8660234 -0.5000035 0 -0.8660223 0.5000054 0 -0.4999974 -0.8660268 0 -0.4999974 -0.8660268 0 0.5000034 -0.8660234 0 -1 0 0 -1 0 0 -0.4999972 0.866027 0 -0.4999972 0.866027 0 0.5000031 0.8660236 0 0.5000031 0.8660236 0.3375601 -0.4706494 0.8151947 0 0.5000034 -0.8660234 0.3375588 0.4706554 -0.8151918 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7071149 -0.7070987 1 0 0 0 -0.7071222 -0.7070915 1 0 0 0 -0.7071222 -0.7070915 1 0 0 0 0.7071136 0.7070999 1 0 0 1 0 0 0 0.7071149 -0.7070987 1 0 0 0 -0.7071209 0.7070927 1 0 0 0 0.7071136 0.7070999 1 0 0 1 0 0 0 -0.7071209 0.7070927 0.9021818 -0.2156913 -0.3735576 0.6548665 0.3778908 -0.6544834 0.8942809 0.2512965 -0.3702861 0.6545599 -0.7560101 0 0.6548615 -0.3778768 -0.6544964 0.3316935 -0.4983321 -0.8010272 0.6548662 -0.3778957 0.6544808 0.6545599 -0.7560101 0 0.9021825 0.2156878 0.373558 0.89428 -0.2513002 0.3702856 0.6545593 0.7560107 0 0.6548573 0.3778743 0.6545019 0.331695 0.4983257 0.8010305 0.6545593 0.7560107 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7070989 -0.7071147 0 -0.7071083 -0.7071052 0 -0.7071083 -0.7071052 0 0.707097 0.7071166 0 0.7070989 -0.7071147 0 -0.7071065 0.7071071 0 0.707097 0.7071166 0 -0.7071065 0.7071071 1 0 0 1 0 0 -1 0 0 -0.6546536 0.3779648 -0.6546536 -1 0 0 -0.654667 -0.3779638 -0.6546408 -1 0 0 -0.6546528 -0.3779671 -0.6546528 -1 0 0 -0.6546796 0.7559065 0 -1 0 0 -0.6546661 0.3779571 -0.6546457 -1 0 0 -0.6546655 0.3779596 0.6546446 -1 0 0 -0.6546796 0.7559066 0 -1 0 0 -0.654652 -0.3779703 0.654652 -1 0 0 -0.6546543 0.3779623 0.6546543 -1 0 0 -0.6546769 -0.7559089 0 -1 0 0 -0.654665 -0.3779621 0.6546437 -1 0 0 -0.6546769 -0.7559089 0 0 0 1 0 -0.8660246 0.5000016 0 0 1 0 0.8660234 0.5000035 0 0.8660234 0.5000035 0 0.8660223 -0.5000054 0 0.8660223 -0.5000054 0 0 -1 0 0 -1 0 -0.8660234 -0.5000035 0 -0.8660234 -0.5000035 0 -0.8660246 0.5000016 0 -0.5000031 -0.8660236 0 -0.5000031 -0.8660236 0 0.4999972 -0.866027 0 -1 0 0 -1 0 0 -0.5000034 0.8660234 0 -0.5000034 0.8660234 0 0.4999974 0.8660268 0 0.4999974 0.8660268 0.3375588 -0.4706554 0.8151918 0 0.4999972 -0.866027 0.3375601 0.4706494 -0.8151947 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7071136 -0.7070999 1 0 0 0 -0.7071209 -0.7070927 1 0 0 0 -0.7071209 -0.7070927 1 0 0 0 0.7071149 0.7070987 1 0 0 1 0 0 0 0.7071136 -0.7070999 1 0 0 0 -0.7071222 0.7070915 1 0 0 0 0.7071149 0.7070987 1 0 0 1 0 0 0 -0.7071222 0.7070915 0.9021818 -0.2156913 -0.3735576 0.6548643 0.3778917 -0.6544851 0.8942809 0.2512966 -0.3702861 0.6545599 -0.7560101 0 0.6548594 -0.377878 -0.6544979 0.3316935 -0.4983321 -0.8010272 0.6548684 -0.3778947 0.6544792 0.65456 -0.7560101 0 0.9021825 0.2156878 0.373558 0.8942799 -0.2513003 0.3702859 0.6545593 0.7560107 0 0.6548597 0.3778731 0.6545003 0.331695 0.4983257 0.8010305 0.6545593 0.7560107 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.707097 -0.7071166 0 -0.7071065 -0.7071071 0 -0.7071065 -0.7071071 0 0.7070989 0.7071147 0 0.707097 -0.7071166 0 -0.7071083 0.7071052 0 0.7070989 0.7071147 0 -0.7071083 0.7071052 1 0 0 1 0 0 -1 0 0 -0.6546536 0.3779648 -0.6546536 -1 0 0 -0.6546658 -0.3779643 -0.6546416 -1 0 0 -0.6546528 -0.3779674 -0.6546528 -1 0 0 -0.6546796 0.7559065 0 -1 0 0 -0.6546649 0.3779577 -0.6546463 -1 0 0 -0.6546667 0.3779591 0.6546437 -1 0 0 -0.6546796 0.7559065 0 -1 0 0 -0.654652 -0.3779703 0.654652 -1 0 0 -0.6546543 0.3779621 0.6546543 -1 0 0 -0.6546769 -0.7559089 0 -1 0 0 -0.6546661 -0.3779615 0.6546431 -1 0 0 -0.6546769 -0.7559089 0 0 0 1 0 -0.8660234 0.5000035 0 0 1 0 0.8660223 0.5000054 0 0.8660223 0.5000054 0 0.8660234 -0.5000035 0 0.8660234 -0.5000035 0 0 -1 0 0 -1 0 -0.8660246 -0.5000016 0 -0.8660246 -0.5000016 0 -0.8660234 0.5000035 0 -0.5000034 -0.8660234 0 -0.5000034 -0.8660234 0 0.4999974 -0.8660268 0 -1 0 0 -1 0 0 -0.5000031 0.8660236 0 -0.5000031 0.8660236 0 0.4999972 0.866027 0 0.4999972 0.866027 0.3375589 -0.4706551 0.8151918 0 0.4999974 -0.8660268 0.33756 0.4706496 -0.8151946 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.7071149 -0.7070987 -1 0 0 0 0.7071222 -0.7070915 -1 0 0 0 0.7071222 -0.7070915 -1 0 0 0 -0.7071136 0.7070999 -1 0 0 -1 0 0 0 -0.7071149 -0.7070987 -1 0 0 0 0.7071209 0.7070927 -1 0 0 0 -0.7071136 0.7070999 -1 0 0 -1 0 0 0 0.7071209 0.7070927 -0.9021818 0.2156913 -0.3735576 -0.6548665 -0.3778908 -0.6544834 -0.8942809 -0.2512965 -0.3702861 -0.6545599 0.7560101 0 -0.6548615 0.3778768 -0.6544964 -0.3316935 0.4983321 -0.8010272 -0.6548662 0.3778957 0.6544808 -0.6545599 0.7560101 0 -0.9021825 -0.2156878 0.373558 -0.89428 0.2513002 0.3702856 -0.6545593 -0.7560107 0 -0.6548573 -0.3778743 0.6545019 -0.331695 -0.4983257 0.8010305 -0.6545593 -0.7560107 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.7070989 -0.7071147 0 0.7071083 -0.7071052 0 0.7071083 -0.7071052 0 -0.707097 0.7071166 0 -0.7070989 -0.7071147 0 0.7071065 0.7071071 0 -0.707097 0.7071166 0 0.7071065 0.7071071 -1 0 0 -1 0 0 1 0 0 0.6546536 -0.3779648 -0.6546536 1 0 0 0.654667 0.3779638 -0.6546408 1 0 0 0.6546528 0.3779671 -0.6546528 1 0 0 0.6546796 -0.7559065 0 1 0 0 0.6546661 -0.3779571 -0.6546457 1 0 0 0.6546655 -0.3779596 0.6546446 1 0 0 0.6546796 -0.7559066 0 1 0 0 0.654652 0.3779703 0.654652 1 0 0 0.6546543 -0.3779623 0.6546543 1 0 0 0.6546769 0.7559089 0 1 0 0 0.654665 0.3779621 0.6546437 1 0 0 0.6546769 0.7559089 0 0 0 1 0 0.8660246 0.5000016 0 0 1 0 -0.8660234 0.5000035 0 -0.8660234 0.5000035 0 -0.8660223 -0.5000054 0 -0.8660223 -0.5000054 0 0 -1 0 0 -1 0 0.8660234 -0.5000035 0 0.8660234 -0.5000035 0 0.8660246 0.5000016 0 0.5000031 -0.8660236 0 0.5000031 -0.8660236 0 -0.4999972 -0.866027 0 1 0 0 1 0 0 0.5000034 0.8660234 0 0.5000034 0.8660234 0 -0.4999974 0.8660268 0 -0.4999974 0.8660268 -0.3375588 0.4706554 0.8151918 0 -0.4999972 -0.866027 -0.3375601 -0.4706494 -0.8151947 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -0.7071222 -0.7070915 -1 0 0 0 0.7071149 -0.7070987 -1 0 0 0 0.7071149 -0.7070987 -1 0 0 0 -0.7071209 0.7070927 -1 0 0 -1 0 0 0 -0.7071222 -0.7070915 -1 0 0 0 0.7071136 0.7070999 -1 0 0 0 -0.7071209 0.7070927 -1 0 0 -1 0 0 0 0.7071136 0.7070999 -0.9021825 0.2156878 -0.373558 -0.6548684 -0.3778947 -0.6544792 -0.8942799 -0.2513003 -0.3702859 -0.6545593 0.7560107 0 -0.6548597 0.3778731 -0.6545004 -0.331695 0.4983257 -0.8010305 -0.6548643 0.3778917 0.6544851 -0.6545593 0.7560107 0 -0.9021818 -0.2156913 0.3735576 -0.8942809 0.2512966 0.3702861 -0.6545599 -0.7560101 0 -0.6548596 -0.3778779 0.6544979 -0.3316935 -0.4983321 0.8010272 -0.65456 -0.7560101 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.7071083 -0.7071052 0 0.7070989 -0.7071147 0 0.7070989 -0.7071147 0 -0.7071065 0.7071071 0 -0.7071083 -0.7071052 0 0.707097 0.7071166 0 -0.7071065 0.7071071 0 0.707097 0.7071166 -1 0 0 -1 0 0 1 0 0 0.654652 -0.3779703 -0.654652 1 0 0 0.6546667 0.3779591 -0.6546437 1 0 0 0.6546543 0.3779621 -0.6546543 1 0 0 0.6546769 -0.7559089 0 1 0 0 0.6546661 -0.3779615 -0.6546431 1 0 0 0.6546658 -0.3779643 0.6546416 1 0 0 0.6546769 -0.7559089 0 1 0 0 0.6546536 0.3779648 0.6546536 1 0 0 0.6546528 -0.3779674 0.6546528 1 0 0 0.6546796 0.7559065 0 1 0 0 0.6546648 0.3779578 0.6546464 1 0 0 0.6546796 0.7559065 0 0 0 1 0 0.8660234 0.5000035 0 0 1 0 -0.8660246 0.5000016 0 -0.8660246 0.5000016 0 -0.8660234 -0.5000035 0 -0.8660234 -0.5000035 0 0 -1 0 0 -1 0 0.8660223 -0.5000054 0 0.8660223 -0.5000054 0 0.8660234 0.5000035 0 0.4999972 -0.866027 0 0.4999972 -0.866027 0 -0.5000031 -0.8660236 0 1 0 0 1 0 0 0.4999974 0.8660268 0 0.4999974 0.8660268 0 -0.5000034 0.8660234 0 -0.5000034 0.8660234 -0.33756 0.4706496 0.8151946 0 -0.5000031 -0.8660236 -0.3375589 -0.4706551 -0.8151918 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0</float_array>
+ <technique_common>
+ <accessor source="#elbow_fe-mesh-normals-array" count="10252" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="elbow_fe-mesh-vertices">
+ <input semantic="POSITION" source="#elbow_fe-mesh-positions"/>
+ </vertices>
+ <polylist material="aluminum-material" count="10252">
+ <input semantic="VERTEX" source="#elbow_fe-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#elbow_fe-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 4 2 2 2 5 2 6 3 5 3 2 3 0 4 2 4 7 4 4 5 7 5 2 5 6 6 2 6 3 6 8 7 9 7 1 7 10 8 1 8 9 8 0 9 8 9 1 9 10 10 3 10 1 10 11 11 12 11 9 11 13 12 9 12 12 12 8 13 11 13 9 13 10 14 9 14 13 14 4 15 14 15 12 15 15 16 12 16 14 16 16 17 12 17 11 17 16 18 17 18 12 18 4 19 12 19 17 19 13 20 12 20 15 20 4 21 5 21 14 21 18 22 14 22 5 22 15 23 14 23 18 23 18 24 5 24 6 24 19 25 20 25 7 25 21 26 7 26 20 26 22 27 0 27 7 27 4 28 19 28 7 28 22 29 7 29 21 29 23 30 24 30 20 30 25 31 20 31 24 31 19 32 23 32 20 32 25 33 21 33 20 33 23 34 11 34 24 34 26 35 24 35 11 35 25 36 24 36 26 36 27 37 11 37 8 37 23 38 16 38 11 38 26 39 11 39 27 39 28 40 8 40 0 40 27 41 8 41 28 41 28 42 0 42 22 42 29 43 30 43 31 43 32 44 31 44 30 44 33 45 31 45 34 45 35 46 34 46 31 46 19 47 31 47 33 47 29 48 31 48 19 48 32 49 35 49 31 49 36 50 37 50 30 50 38 51 30 51 37 51 29 52 36 52 30 52 38 53 32 53 30 53 36 54 39 54 37 54 40 55 37 55 39 55 40 56 38 56 37 56 41 57 42 57 39 57 43 58 39 58 42 58 44 59 41 59 39 59 36 60 44 60 39 60 40 61 39 61 43 61 45 62 34 62 42 62 46 63 42 63 34 63 41 64 45 64 42 64 46 65 43 65 42 65 45 66 33 66 34 66 35 67 46 67 34 67 47 68 33 68 45 68 48 69 33 69 49 69 50 70 49 70 33 70 48 71 19 71 33 71 50 72 33 72 47 72 51 73 45 73 41 73 51 74 47 74 45 74 52 75 41 75 44 75 52 76 51 76 41 76 48 77 53 77 44 77 54 78 44 78 53 78 55 79 48 79 44 79 36 80 55 80 44 80 54 81 52 81 44 81 48 82 49 82 53 82 56 83 53 83 49 83 56 84 54 84 53 84 50 85 56 85 49 85 57 86 58 86 59 86 60 87 59 87 58 87 23 88 59 88 61 88 62 89 61 89 59 89 57 90 59 90 63 90 64 91 63 91 59 91 65 92 64 92 59 92 23 93 65 93 59 93 60 94 62 94 59 94 66 95 67 95 58 95 68 96 58 96 67 96 57 97 66 97 58 97 68 98 60 98 58 98 69 99 17 99 67 99 70 100 67 100 17 100 66 101 69 101 67 101 70 102 68 102 67 102 71 103 17 103 16 103 4 104 17 104 69 104 70 105 17 105 71 105 23 106 61 106 16 106 72 107 16 107 61 107 72 108 71 108 16 108 62 109 72 109 61 109 73 110 74 110 63 110 75 111 63 111 74 111 76 112 57 112 63 112 77 113 63 113 64 113 77 114 73 114 63 114 76 115 63 115 75 115 4 116 78 116 74 116 79 117 74 117 78 117 73 118 4 118 74 118 79 119 75 119 74 119 4 120 69 120 78 120 80 121 78 121 69 121 80 122 79 122 78 122 81 123 69 123 66 123 81 124 80 124 69 124 82 125 66 125 57 125 82 126 81 126 66 126 76 127 82 127 57 127 83 128 64 128 65 128 84 129 77 129 64 129 85 130 64 130 83 130 86 131 84 131 64 131 87 132 86 132 64 132 88 133 87 133 64 133 85 134 88 134 64 134 23 135 89 135 65 135 90 136 65 136 89 136 83 137 65 137 90 137 23 138 91 138 89 138 92 139 89 139 91 139 90 140 89 140 93 140 92 141 93 141 89 141 94 142 91 142 23 142 94 143 95 143 91 143 92 144 91 144 95 144 96 145 23 145 19 145 97 146 23 146 96 146 98 147 94 147 23 147 97 148 98 148 23 148 99 149 19 149 48 149 4 150 29 150 19 150 100 151 19 151 99 151 96 152 19 152 101 152 102 153 101 153 19 153 103 154 102 154 19 154 104 155 103 155 19 155 100 156 104 156 19 156 105 157 48 157 55 157 106 158 48 158 105 158 99 159 48 159 106 159 107 160 108 160 55 160 109 161 55 161 108 161 36 162 107 162 55 162 110 163 55 163 109 163 105 164 55 164 110 164 111 165 108 165 107 165 112 166 109 166 108 166 112 167 108 167 111 167 113 168 107 168 36 168 114 169 115 169 107 169 111 170 107 170 115 170 116 171 114 171 107 171 117 172 116 172 107 172 113 173 117 173 107 173 118 174 36 174 29 174 119 175 36 175 118 175 120 176 36 176 119 176 120 177 113 177 36 177 121 178 29 178 4 178 122 179 29 179 121 179 118 180 29 180 122 180 123 181 124 181 4 181 125 182 4 182 124 182 126 183 123 183 4 183 73 184 126 184 4 184 121 185 4 185 127 185 128 186 127 186 4 186 125 187 128 187 4 187 129 188 124 188 123 188 130 189 131 189 124 189 132 190 124 190 131 190 133 191 134 191 124 191 130 192 124 192 134 192 135 193 133 193 124 193 136 194 135 194 124 194 137 195 125 195 124 195 132 196 137 196 124 196 129 197 136 197 124 197 138 198 123 198 126 198 139 199 123 199 138 199 140 200 129 200 123 200 141 201 140 201 123 201 142 202 141 202 123 202 139 203 142 203 123 203 138 204 126 204 73 204 143 205 73 205 77 205 138 206 73 206 143 206 143 207 77 207 84 207 144 208 145 208 146 208 60 209 146 209 145 209 90 210 146 210 147 210 68 211 147 211 146 211 93 212 144 212 146 212 90 213 93 213 146 213 68 214 146 214 60 214 148 215 149 215 145 215 62 216 145 216 149 216 144 217 148 217 145 217 60 218 145 218 62 218 150 219 151 219 149 219 72 220 149 220 151 220 152 221 150 221 149 221 152 222 149 222 148 222 148 223 153 223 152 223 62 224 149 224 72 224 154 225 155 225 151 225 71 226 151 226 155 226 156 227 157 227 151 227 154 228 151 228 157 228 158 229 156 229 151 229 159 230 158 230 151 230 150 231 159 231 151 231 72 232 151 232 71 232 160 233 147 233 155 233 68 234 155 234 147 234 154 235 160 235 155 235 70 236 71 236 155 236 70 237 155 237 68 237 25 238 26 238 147 238 83 239 147 239 26 239 160 240 25 240 147 240 83 241 90 241 147 241 161 242 6 242 3 242 161 243 3 243 10 243 161 244 18 244 6 244 84 245 15 245 18 245 161 246 162 246 18 246 84 247 18 247 162 247 163 248 13 248 15 248 83 249 163 249 15 249 84 250 83 250 15 250 163 251 10 251 13 251 161 252 10 252 163 252 164 253 22 253 21 253 161 254 21 254 25 254 161 255 164 255 21 255 164 256 28 256 22 256 83 257 27 257 28 257 83 258 28 258 164 258 83 259 26 259 27 259 165 260 25 260 160 260 161 261 25 261 165 261 166 262 167 262 168 262 169 263 168 263 167 263 170 264 168 264 171 264 172 265 171 265 168 265 170 266 166 266 168 266 172 267 168 267 169 267 161 268 163 268 167 268 173 269 167 269 163 269 161 270 167 270 166 270 173 271 174 271 167 271 169 272 167 272 174 272 83 273 175 273 163 273 176 274 163 274 175 274 173 275 163 275 176 275 83 276 177 276 175 276 178 277 175 277 177 277 178 278 176 278 175 278 83 279 171 279 177 279 179 280 177 280 171 280 180 281 178 281 177 281 179 282 180 282 177 282 181 283 170 283 171 283 83 284 181 284 171 284 182 285 179 285 171 285 172 286 182 286 171 286 161 287 183 287 184 287 185 288 184 288 183 288 161 289 184 289 164 289 186 290 164 290 184 290 185 291 186 291 184 291 161 292 166 292 183 292 187 293 183 293 166 293 188 294 185 294 183 294 187 295 188 295 183 295 189 296 166 296 170 296 190 297 187 297 166 297 189 298 190 298 166 298 191 299 170 299 181 299 189 300 170 300 191 300 83 301 164 301 181 301 192 302 181 302 164 302 193 303 181 303 192 303 191 304 181 304 193 304 192 305 164 305 186 305 194 306 195 306 196 306 197 307 196 307 195 307 194 308 196 308 198 308 199 309 198 309 196 309 199 310 196 310 197 310 194 311 200 311 195 311 201 312 195 312 200 312 197 313 195 313 201 313 202 314 203 314 200 314 204 315 200 315 203 315 162 316 202 316 200 316 84 317 162 317 200 317 84 318 200 318 194 318 201 319 200 319 204 319 205 320 206 320 203 320 207 321 203 321 206 321 202 322 205 322 203 322 204 323 203 323 207 323 208 324 209 324 206 324 210 325 206 325 209 325 208 326 206 326 205 326 207 327 206 327 210 327 211 328 212 328 209 328 213 329 209 329 212 329 208 330 211 330 209 330 213 331 210 331 209 331 194 332 198 332 212 332 214 333 212 333 198 333 215 334 212 334 211 334 216 335 212 335 215 335 194 336 212 336 216 336 213 337 212 337 214 337 214 338 198 338 199 338 217 339 205 339 202 339 218 340 208 340 205 340 218 341 205 341 217 341 219 342 202 342 162 342 217 343 202 343 219 343 220 344 221 344 162 344 222 345 162 345 221 345 161 346 220 346 162 346 219 347 162 347 222 347 220 348 223 348 221 348 224 349 221 349 223 349 222 350 221 350 224 350 215 351 225 351 223 351 226 352 223 352 225 352 220 353 215 353 223 353 224 354 223 354 226 354 215 355 211 355 225 355 227 356 225 356 211 356 227 357 226 357 225 357 228 358 211 358 208 358 227 359 211 359 228 359 228 360 208 360 218 360 229 361 157 361 156 361 230 362 154 362 157 362 230 363 157 363 229 363 231 364 156 364 158 364 231 365 229 365 156 365 232 366 233 366 158 366 234 367 158 367 233 367 159 368 232 368 158 368 231 369 158 369 234 369 235 370 236 370 233 370 237 371 233 371 236 371 232 372 235 372 233 372 234 373 233 373 237 373 238 374 239 374 236 374 240 375 236 375 239 375 238 376 236 376 235 376 237 377 236 377 240 377 165 378 160 378 239 378 241 379 239 379 160 379 238 380 165 380 239 380 240 381 239 381 241 381 242 382 160 382 154 382 241 383 160 383 242 383 242 384 154 384 230 384 243 385 235 385 232 385 244 386 238 386 235 386 244 387 235 387 243 387 245 388 232 388 159 388 245 389 243 389 232 389 150 390 246 390 159 390 247 391 159 391 246 391 245 392 159 392 247 392 248 393 249 393 246 393 250 394 246 394 249 394 248 395 246 395 150 395 247 396 246 396 250 396 248 397 251 397 249 397 252 398 249 398 251 398 250 399 249 399 252 399 248 400 165 400 251 400 253 401 251 401 165 401 252 402 251 402 253 402 254 403 165 403 238 403 255 404 161 404 165 404 248 405 255 405 165 405 253 406 165 406 254 406 254 407 238 407 244 407 32 408 215 408 220 408 216 409 215 409 256 409 38 410 256 410 215 410 38 411 215 411 32 411 35 412 220 412 161 412 32 413 220 413 35 413 46 414 161 414 255 414 35 415 161 415 46 415 119 416 257 416 255 416 43 417 255 417 257 417 258 418 259 418 255 418 119 419 255 419 259 419 248 420 258 420 255 420 46 421 255 421 43 421 119 422 256 422 257 422 40 423 257 423 256 423 40 424 43 424 257 424 260 425 216 425 256 425 119 426 260 426 256 426 40 427 256 427 38 427 47 428 150 428 152 428 51 429 248 429 150 429 51 430 150 430 47 430 50 431 152 431 153 431 50 432 47 432 152 432 109 433 259 433 153 433 56 434 153 434 259 434 261 435 109 435 153 435 148 436 261 436 153 436 50 437 153 437 56 437 54 438 259 438 258 438 119 439 259 439 109 439 56 440 259 440 54 440 52 441 258 441 248 441 54 442 258 442 52 442 52 443 248 443 51 443 81 444 216 444 260 444 82 445 194 445 216 445 82 446 216 446 81 446 262 447 263 447 260 447 79 448 260 448 263 448 119 449 262 449 260 449 80 450 260 450 79 450 81 451 260 451 80 451 143 452 264 452 263 452 79 453 263 453 264 453 265 454 143 454 263 454 262 455 265 455 263 455 84 456 266 456 264 456 75 457 264 457 266 457 143 458 84 458 264 458 79 459 264 459 75 459 84 460 194 460 266 460 76 461 266 461 194 461 76 462 75 462 266 462 76 463 194 463 82 463 267 464 110 464 109 464 261 465 267 465 109 465 120 466 119 466 109 466 113 467 109 467 111 467 112 468 111 468 109 468 120 469 109 469 113 469 268 470 105 470 110 470 267 471 268 471 110 471 268 472 106 472 105 472 101 473 99 473 106 473 268 474 101 474 106 474 100 475 99 475 101 475 269 476 101 476 268 476 270 477 96 477 101 477 271 478 270 478 101 478 272 479 271 479 101 479 273 480 272 480 101 480 269 481 273 481 101 481 102 482 274 482 101 482 275 483 101 483 274 483 275 484 100 484 101 484 276 485 268 485 267 485 276 486 269 486 268 486 277 487 267 487 261 487 278 488 267 488 277 488 276 489 267 489 278 489 277 490 261 490 148 490 279 491 148 491 144 491 277 492 148 492 279 492 92 493 144 493 93 493 280 494 144 494 92 494 281 495 144 495 282 495 283 496 282 496 144 496 279 497 144 497 281 497 284 498 283 498 144 498 280 499 284 499 144 499 85 500 83 500 84 500 86 501 285 501 84 501 286 502 84 502 285 502 286 503 85 503 84 503 265 504 138 504 143 504 287 505 138 505 265 505 288 506 138 506 287 506 288 507 139 507 138 507 287 508 265 508 262 508 119 509 289 509 262 509 290 510 262 510 289 510 287 511 262 511 290 511 119 512 291 512 289 512 292 513 289 513 291 513 293 514 289 514 292 514 290 515 289 515 293 515 122 516 294 516 291 516 292 517 291 517 294 517 118 518 122 518 291 518 119 519 118 519 291 519 127 520 131 520 294 520 295 521 294 521 131 521 121 522 127 522 294 522 122 523 121 523 294 523 295 524 292 524 294 524 296 525 131 525 127 525 295 526 131 526 130 526 296 527 132 527 131 527 297 528 127 528 128 528 297 529 296 529 127 529 280 530 96 530 270 530 298 531 97 531 96 531 92 532 298 532 96 532 280 533 92 533 96 533 280 534 270 534 271 534 284 535 271 535 272 535 280 536 271 536 284 536 282 537 272 537 273 537 283 538 272 538 282 538 284 539 272 539 283 539 276 540 273 540 269 540 299 541 300 541 273 541 282 542 273 542 300 542 301 543 299 543 273 543 276 544 301 544 273 544 302 545 274 545 102 545 303 546 275 546 274 546 303 547 274 547 302 547 304 548 102 548 103 548 305 549 102 549 304 549 306 550 302 550 102 550 306 551 102 551 305 551 307 552 103 552 104 552 308 553 304 553 103 553 307 554 309 554 103 554 308 555 103 555 309 555 310 556 104 556 100 556 307 557 104 557 310 557 311 558 100 558 275 558 312 559 100 559 311 559 313 560 100 560 312 560 310 561 100 561 313 561 303 562 314 562 275 562 315 563 275 563 314 563 315 564 311 564 275 564 111 565 115 565 316 565 317 566 316 566 115 566 111 567 316 567 318 567 319 568 318 568 316 568 319 569 316 569 317 569 320 570 115 570 114 570 317 571 115 571 320 571 321 572 114 572 116 572 320 573 114 573 321 573 322 574 116 574 117 574 321 575 116 575 322 575 111 576 318 576 117 576 323 577 117 577 318 577 113 578 111 578 117 578 323 579 322 579 117 579 323 580 318 580 319 580 130 581 324 581 325 581 326 582 325 582 324 582 327 583 130 583 325 583 327 584 325 584 328 584 329 585 328 585 325 585 326 586 329 586 325 586 130 587 134 587 324 587 326 588 324 588 134 588 288 589 134 589 133 589 326 590 134 590 288 590 142 591 133 591 135 591 139 592 133 592 142 592 288 593 133 593 139 593 330 594 135 594 136 594 330 595 331 595 135 595 142 596 135 596 331 596 295 597 130 597 327 597 332 598 128 598 125 598 333 599 297 599 128 599 333 600 128 600 332 600 334 601 125 601 137 601 335 602 332 602 125 602 335 603 125 603 334 603 336 604 137 604 132 604 334 605 137 605 337 605 338 606 337 606 137 606 339 607 137 607 336 607 340 608 137 608 339 608 338 609 137 609 340 609 341 610 132 610 296 610 336 611 132 611 341 611 342 612 296 612 297 612 343 613 296 613 342 613 341 614 296 614 343 614 342 615 297 615 344 615 345 616 344 616 297 616 346 617 297 617 333 617 347 618 297 618 346 618 345 619 297 619 347 619 348 620 136 620 129 620 349 621 330 621 136 621 349 622 136 622 348 622 350 623 129 623 140 623 351 624 348 624 129 624 350 625 351 625 129 625 352 626 140 626 141 626 352 627 350 627 140 627 142 628 331 628 141 628 353 629 141 629 331 629 352 630 141 630 353 630 354 631 331 631 330 631 355 632 353 632 331 632 355 633 331 633 354 633 349 634 354 634 330 634 356 635 95 635 94 635 92 636 95 636 357 636 358 637 357 637 95 637 358 638 95 638 356 638 359 639 94 639 98 639 360 640 356 640 94 640 359 641 360 641 94 641 361 642 98 642 97 642 361 643 359 643 98 643 362 644 97 644 298 644 361 645 97 645 362 645 92 646 357 646 298 646 363 647 298 647 357 647 364 648 362 648 298 648 364 649 298 649 363 649 358 650 363 650 357 650 173 651 365 651 174 651 169 652 174 652 365 652 176 653 366 653 365 653 367 654 365 654 366 654 173 655 176 655 365 655 368 656 169 656 365 656 367 657 368 657 365 657 176 658 369 658 366 658 370 659 366 659 369 659 371 660 367 660 366 660 370 661 371 661 366 661 178 662 369 662 176 662 370 663 369 663 178 663 372 664 186 664 373 664 185 665 373 665 186 665 374 666 372 666 373 666 374 667 373 667 185 667 375 668 192 668 186 668 372 669 375 669 186 669 375 670 193 670 192 670 191 671 193 671 375 671 376 672 375 672 372 672 377 673 191 673 375 673 376 674 377 674 375 674 378 675 376 675 372 675 374 676 378 676 372 676 379 677 172 677 169 677 380 678 169 678 368 678 379 679 169 679 380 679 381 680 178 680 180 680 382 681 370 681 178 681 382 682 178 682 381 682 383 683 180 683 179 683 381 684 180 684 383 684 384 685 179 685 182 685 383 686 179 686 384 686 379 687 182 687 172 687 385 688 384 688 182 688 386 689 182 689 379 689 385 690 182 690 386 690 387 691 368 691 367 691 380 692 368 692 387 692 388 693 367 693 371 693 387 694 367 694 388 694 382 695 371 695 370 695 389 696 371 696 382 696 390 697 371 697 389 697 390 698 388 698 371 698 391 699 189 699 191 699 392 700 191 700 377 700 391 701 191 701 392 701 393 702 185 702 188 702 394 703 374 703 185 703 394 704 185 704 393 704 395 705 188 705 187 705 393 706 188 706 395 706 396 707 187 707 190 707 395 708 187 708 396 708 391 709 190 709 189 709 397 710 190 710 391 710 398 711 190 711 397 711 398 712 396 712 190 712 399 713 377 713 376 713 399 714 392 714 377 714 400 715 376 715 378 715 399 716 376 716 400 716 394 717 378 717 374 717 401 718 378 718 394 718 402 719 378 719 401 719 402 720 400 720 378 720 329 721 403 721 328 721 354 722 328 722 403 722 349 723 327 723 328 723 349 724 328 724 354 724 329 725 404 725 403 725 353 726 403 726 404 726 355 727 403 727 353 727 355 728 354 728 403 728 293 729 405 729 404 729 406 730 404 730 405 730 290 731 293 731 404 731 329 732 290 732 404 732 406 733 353 733 404 733 292 734 407 734 405 734 408 735 405 735 407 735 293 736 292 736 405 736 409 737 405 737 408 737 410 738 405 738 409 738 406 739 405 739 410 739 295 740 327 740 407 740 411 741 407 741 327 741 295 742 407 742 292 742 412 743 407 743 413 743 411 744 413 744 407 744 408 745 407 745 412 745 349 746 348 746 327 746 411 747 327 747 348 747 363 748 300 748 299 748 282 749 300 749 414 749 358 750 414 750 300 750 358 751 300 751 363 751 362 752 299 752 301 752 364 753 299 753 362 753 364 754 363 754 299 754 278 755 415 755 301 755 416 756 301 756 415 756 276 757 278 757 301 757 416 758 362 758 301 758 277 759 417 759 415 759 418 760 415 760 417 760 278 761 277 761 415 761 419 762 415 762 418 762 420 763 415 763 419 763 416 764 415 764 420 764 279 765 414 765 417 765 421 766 417 766 414 766 277 767 279 767 417 767 422 768 417 768 423 768 421 769 423 769 417 769 424 770 417 770 422 770 418 771 417 771 424 771 281 772 282 772 414 772 279 773 281 773 414 773 358 774 356 774 414 774 421 775 414 775 356 775 329 776 287 776 290 776 326 777 287 777 329 777 326 778 288 778 287 778 207 779 210 779 425 779 213 780 425 780 210 780 204 781 207 781 425 781 201 782 204 782 425 782 197 783 201 783 425 783 199 784 197 784 425 784 214 785 199 785 425 785 213 786 214 786 425 786 224 787 226 787 426 787 227 788 426 788 226 788 222 789 224 789 426 789 219 790 222 790 426 790 217 791 219 791 426 791 218 792 217 792 426 792 228 793 218 793 426 793 227 794 228 794 426 794 230 795 229 795 427 795 231 796 427 796 229 796 242 797 230 797 427 797 241 798 242 798 427 798 240 799 241 799 427 799 237 800 240 800 427 800 234 801 237 801 427 801 231 802 234 802 427 802 244 803 243 803 428 803 245 804 428 804 243 804 254 805 244 805 428 805 253 806 254 806 428 806 252 807 253 807 428 807 250 808 252 808 428 808 247 809 250 809 428 809 245 810 247 810 428 810 429 811 352 811 353 811 429 812 353 812 406 812 430 813 348 813 351 813 411 814 348 814 430 814 430 815 351 815 350 815 429 816 350 816 352 816 429 817 431 817 350 817 430 818 350 818 431 818 432 819 361 819 362 819 432 820 362 820 416 820 433 821 356 821 360 821 421 822 356 822 433 822 433 823 360 823 359 823 432 824 359 824 361 824 432 825 434 825 359 825 433 826 359 826 434 826 435 827 436 827 437 827 393 828 437 828 436 828 438 829 435 829 437 829 439 830 438 830 437 830 395 831 439 831 437 831 393 832 395 832 437 832 337 833 436 833 435 833 394 834 393 834 436 834 440 835 436 835 337 835 401 836 394 836 436 836 440 837 401 837 436 837 335 838 435 838 438 838 334 839 337 839 435 839 335 840 334 840 435 840 439 841 441 841 438 841 332 842 438 842 441 842 335 843 438 843 332 843 346 844 441 844 439 844 333 845 332 845 441 845 346 846 333 846 441 846 395 847 396 847 439 847 442 848 439 848 396 848 347 849 346 849 439 849 442 850 347 850 439 850 412 851 342 851 344 851 408 852 412 852 344 852 443 853 408 853 344 853 345 854 443 854 344 854 412 855 343 855 342 855 413 856 341 856 343 856 412 857 413 857 343 857 444 858 341 858 413 858 336 859 341 859 444 859 411 860 444 860 413 860 397 861 409 861 408 861 443 862 397 862 408 862 392 863 410 863 409 863 391 864 392 864 409 864 397 865 391 865 409 865 399 866 410 866 392 866 445 867 410 867 399 867 406 868 410 868 445 868 345 869 397 869 443 869 345 870 398 870 397 870 442 871 396 871 347 871 398 872 347 872 396 872 345 873 347 873 398 873 338 874 440 874 337 874 338 875 401 875 440 875 338 876 402 876 401 876 445 877 399 877 400 877 446 878 445 878 400 878 446 879 400 879 340 879 338 880 340 880 400 880 338 881 400 881 402 881 340 882 447 882 445 882 406 883 445 883 447 883 446 884 340 884 445 884 339 885 444 885 447 885 448 886 447 886 444 886 340 887 339 887 447 887 406 888 447 888 448 888 339 889 336 889 444 889 411 890 448 890 444 890 449 891 450 891 451 891 309 892 451 892 450 892 452 893 449 893 451 893 453 894 452 894 451 894 307 895 453 895 451 895 307 896 451 896 309 896 380 897 450 897 449 897 387 898 388 898 450 898 454 899 450 899 388 899 380 900 387 900 450 900 454 901 309 901 450 901 379 902 449 902 452 902 379 903 380 903 449 903 453 904 455 904 452 904 311 905 452 905 455 905 386 906 379 906 452 906 456 907 386 907 452 907 311 908 456 908 452 908 310 909 455 909 453 909 312 910 311 910 455 910 313 911 312 911 455 911 310 912 313 912 455 912 307 913 310 913 453 913 457 914 458 914 304 914 459 915 304 915 458 915 308 916 457 916 304 916 305 917 304 917 459 917 389 918 460 918 458 918 461 919 458 919 460 919 457 920 389 920 458 920 416 921 459 921 458 921 416 922 458 922 461 922 382 923 423 923 460 923 461 924 460 924 423 924 389 925 382 925 460 925 381 926 422 926 423 926 382 927 381 927 423 927 421 928 461 928 423 928 383 929 424 929 422 929 381 930 383 930 422 930 314 931 418 931 424 931 462 932 314 932 424 932 384 933 462 933 424 933 383 934 384 934 424 934 303 935 418 935 314 935 419 936 418 936 303 936 384 937 314 937 462 937 315 938 314 938 384 938 315 939 384 939 385 939 308 940 389 940 457 940 308 941 390 941 389 941 454 942 388 942 309 942 308 943 309 943 388 943 308 944 388 944 390 944 315 945 386 945 456 945 315 946 385 946 386 946 315 947 456 947 311 947 420 948 303 948 302 948 463 949 420 949 302 949 306 950 463 950 302 950 420 951 419 951 303 951 416 952 420 952 463 952 306 953 459 953 463 953 416 954 463 954 459 954 306 955 305 955 459 955 406 956 448 956 431 956 411 957 431 957 448 957 429 958 406 958 431 958 411 959 430 959 431 959 464 960 285 960 86 960 465 961 286 961 285 961 465 962 285 962 464 962 466 963 86 963 87 963 464 964 86 964 466 964 467 965 87 965 88 965 466 966 87 966 467 966 468 967 88 967 85 967 467 968 88 968 468 968 469 969 85 969 286 969 469 970 468 970 85 970 469 971 286 971 465 971 416 972 461 972 434 972 421 973 434 973 461 973 432 974 416 974 434 974 421 975 433 975 434 975 467 976 468 976 470 976 469 977 470 977 468 977 466 978 467 978 470 978 464 979 466 979 470 979 465 980 464 980 470 980 469 981 465 981 470 981 321 982 322 982 471 982 323 983 471 983 322 983 320 984 321 984 471 984 317 985 320 985 471 985 319 986 317 986 471 986 323 987 319 987 471 987 472 988 473 988 474 988 475 989 474 989 473 989 472 990 474 990 476 990 477 991 476 991 474 991 475 992 477 992 474 992 472 993 478 993 473 993 479 994 473 994 478 994 479 995 475 995 473 995 480 996 481 996 478 996 482 997 478 997 481 997 483 998 480 998 478 998 472 999 483 999 478 999 479 1000 478 1000 482 1000 484 1001 485 1001 481 1001 486 1002 481 1002 485 1002 484 1003 481 1003 480 1003 482 1004 481 1004 486 1004 487 1005 476 1005 485 1005 488 1006 485 1006 476 1006 487 1007 485 1007 484 1007 488 1008 486 1008 485 1008 489 1009 476 1009 487 1009 489 1010 472 1010 476 1010 477 1011 488 1011 476 1011 490 1012 480 1012 483 1012 491 1013 484 1013 480 1013 490 1014 491 1014 480 1014 472 1015 492 1015 483 1015 493 1016 483 1016 492 1016 493 1017 490 1017 483 1017 487 1018 494 1018 492 1018 495 1019 492 1019 494 1019 496 1020 487 1020 492 1020 472 1021 496 1021 492 1021 493 1022 492 1022 495 1022 487 1023 497 1023 494 1023 498 1024 494 1024 497 1024 495 1025 494 1025 498 1025 487 1026 484 1026 497 1026 499 1027 497 1027 484 1027 499 1028 498 1028 497 1028 491 1029 499 1029 484 1029 500 1030 501 1030 502 1030 503 1031 502 1031 501 1031 504 1032 502 1032 505 1032 506 1033 505 1033 502 1033 507 1034 500 1034 502 1034 504 1035 507 1035 502 1035 503 1036 506 1036 502 1036 500 1037 508 1037 501 1037 509 1038 501 1038 508 1038 509 1039 503 1039 501 1039 510 1040 511 1040 508 1040 512 1041 508 1041 511 1041 513 1042 510 1042 508 1042 514 1043 513 1043 508 1043 500 1044 514 1044 508 1044 509 1045 508 1045 512 1045 515 1046 516 1046 511 1046 517 1047 511 1047 516 1047 515 1048 511 1048 510 1048 512 1049 511 1049 517 1049 518 1050 505 1050 516 1050 519 1051 516 1051 505 1051 518 1052 516 1052 515 1052 519 1053 517 1053 516 1053 520 1054 504 1054 505 1054 518 1055 520 1055 505 1055 506 1056 519 1056 505 1056 521 1057 510 1057 513 1057 522 1058 515 1058 510 1058 521 1059 522 1059 510 1059 514 1060 523 1060 513 1060 524 1061 513 1061 523 1061 524 1062 521 1062 513 1062 525 1063 526 1063 523 1063 527 1064 523 1064 526 1064 514 1065 528 1065 523 1065 525 1066 523 1066 528 1066 524 1067 523 1067 527 1067 525 1068 529 1068 526 1068 530 1069 526 1069 529 1069 527 1070 526 1070 530 1070 518 1071 515 1071 529 1071 531 1072 529 1072 515 1072 518 1073 529 1073 525 1073 531 1074 530 1074 529 1074 522 1075 531 1075 515 1075 532 1076 533 1076 534 1076 535 1077 534 1077 533 1077 532 1078 534 1078 536 1078 537 1079 536 1079 534 1079 538 1080 534 1080 535 1080 537 1081 534 1081 538 1081 532 1082 539 1082 533 1082 535 1083 533 1083 539 1083 532 1084 540 1084 539 1084 541 1085 539 1085 540 1085 535 1086 539 1086 541 1086 542 1087 543 1087 540 1087 544 1088 540 1088 543 1088 532 1089 542 1089 540 1089 541 1090 540 1090 544 1090 545 1091 546 1091 543 1091 547 1092 543 1092 546 1092 542 1093 545 1093 543 1093 544 1094 543 1094 547 1094 548 1095 549 1095 546 1095 550 1096 546 1096 549 1096 545 1097 548 1097 546 1097 547 1098 546 1098 550 1098 548 1099 551 1099 549 1099 552 1100 549 1100 551 1100 553 1101 549 1101 552 1101 550 1102 549 1102 553 1102 548 1103 554 1103 551 1103 552 1104 551 1104 554 1104 548 1105 555 1105 554 1105 556 1106 554 1106 555 1106 552 1107 554 1107 556 1107 548 1108 557 1108 555 1108 558 1109 555 1109 557 1109 556 1110 555 1110 558 1110 559 1111 536 1111 557 1111 560 1112 557 1112 536 1112 559 1113 557 1113 548 1113 558 1114 557 1114 560 1114 559 1115 532 1115 536 1115 537 1116 560 1116 536 1116 489 1117 561 1117 562 1117 563 1118 562 1118 561 1118 489 1119 562 1119 564 1119 565 1120 564 1120 562 1120 565 1121 562 1121 563 1121 487 1122 566 1122 561 1122 567 1123 561 1123 566 1123 489 1124 487 1124 561 1124 563 1125 561 1125 567 1125 487 1126 568 1126 566 1126 569 1127 566 1127 568 1127 567 1128 566 1128 569 1128 525 1129 570 1129 568 1129 571 1130 568 1130 570 1130 487 1131 525 1131 568 1131 572 1132 568 1132 571 1132 569 1133 568 1133 572 1133 525 1134 573 1134 570 1134 571 1135 570 1135 573 1135 525 1136 528 1136 573 1136 574 1137 573 1137 528 1137 571 1138 573 1138 574 1138 575 1139 528 1139 514 1139 574 1140 528 1140 575 1140 576 1141 514 1141 500 1141 575 1142 514 1142 576 1142 577 1143 500 1143 507 1143 576 1144 500 1144 577 1144 489 1145 578 1145 507 1145 579 1146 507 1146 578 1146 504 1147 489 1147 507 1147 580 1148 507 1148 579 1148 577 1149 507 1149 580 1149 489 1150 564 1150 578 1150 579 1151 578 1151 564 1151 565 1152 579 1152 564 1152 581 1153 525 1153 487 1153 582 1154 518 1154 525 1154 582 1155 525 1155 581 1155 583 1156 487 1156 496 1156 581 1157 487 1157 583 1157 584 1158 585 1158 496 1158 586 1159 496 1159 585 1159 472 1160 584 1160 496 1160 583 1161 496 1161 586 1161 587 1162 585 1162 584 1162 586 1163 585 1163 587 1163 588 1164 584 1164 472 1164 587 1165 584 1165 588 1165 589 1166 472 1166 489 1166 588 1167 472 1167 589 1167 590 1168 489 1168 504 1168 589 1169 489 1169 590 1169 591 1170 504 1170 520 1170 590 1171 504 1171 591 1171 592 1172 593 1172 520 1172 594 1173 520 1173 593 1173 595 1174 592 1174 520 1174 596 1175 595 1175 520 1175 518 1176 596 1176 520 1176 591 1177 520 1177 594 1177 597 1178 593 1178 592 1178 594 1179 593 1179 597 1179 598 1180 599 1180 592 1180 600 1181 592 1181 599 1181 595 1182 598 1182 592 1182 597 1183 592 1183 600 1183 559 1184 548 1184 599 1184 601 1185 599 1185 548 1185 598 1186 559 1186 599 1186 602 1187 599 1187 601 1187 600 1188 599 1188 602 1188 603 1189 548 1189 545 1189 604 1190 601 1190 548 1190 605 1191 548 1191 603 1191 604 1192 548 1192 605 1192 542 1193 606 1193 545 1193 603 1194 545 1194 606 1194 607 1195 608 1195 606 1195 609 1196 606 1196 608 1196 542 1197 607 1197 606 1197 609 1198 603 1198 606 1198 610 1199 608 1199 607 1199 610 1200 611 1200 608 1200 612 1201 608 1201 611 1201 609 1202 608 1202 612 1202 613 1203 607 1203 542 1203 614 1204 615 1204 607 1204 616 1205 607 1205 615 1205 617 1206 614 1206 607 1206 618 1207 617 1207 607 1207 613 1208 618 1208 607 1208 619 1209 620 1209 607 1209 621 1210 607 1210 620 1210 616 1211 619 1211 607 1211 622 1212 607 1212 621 1212 622 1213 623 1213 607 1213 624 1214 607 1214 623 1214 625 1215 607 1215 624 1215 625 1216 610 1216 607 1216 626 1217 542 1217 532 1217 626 1218 613 1218 542 1218 627 1219 532 1219 559 1219 628 1220 629 1220 532 1220 626 1221 532 1221 629 1221 630 1222 628 1222 532 1222 631 1223 630 1223 532 1223 627 1224 631 1224 532 1224 627 1225 559 1225 598 1225 632 1226 598 1226 595 1226 633 1227 598 1227 632 1227 634 1228 598 1228 633 1228 634 1229 627 1229 598 1229 635 1230 595 1230 596 1230 632 1231 595 1231 635 1231 636 1232 596 1232 518 1232 635 1233 596 1233 636 1233 582 1234 636 1234 518 1234 590 1235 637 1235 638 1235 639 1236 638 1236 637 1236 589 1237 638 1237 640 1237 641 1238 640 1238 638 1238 589 1239 590 1239 638 1239 641 1240 638 1240 639 1240 591 1241 642 1241 637 1241 643 1242 637 1242 642 1242 590 1243 591 1243 637 1243 643 1244 639 1244 637 1244 644 1245 645 1245 642 1245 646 1246 642 1246 645 1246 647 1247 644 1247 642 1247 591 1248 647 1248 642 1248 643 1249 642 1249 646 1249 648 1250 649 1250 645 1250 650 1251 645 1251 649 1251 648 1252 645 1252 644 1252 646 1253 645 1253 650 1253 587 1254 640 1254 649 1254 651 1255 649 1255 640 1255 587 1256 649 1256 648 1256 650 1257 649 1257 651 1257 588 1258 589 1258 640 1258 587 1259 588 1259 640 1259 651 1260 640 1260 641 1260 652 1261 644 1261 647 1261 653 1262 648 1262 644 1262 653 1263 644 1263 652 1263 591 1264 654 1264 647 1264 655 1265 647 1265 654 1265 655 1266 652 1266 647 1266 583 1267 656 1267 654 1267 657 1268 654 1268 656 1268 591 1269 658 1269 654 1269 583 1270 654 1270 658 1270 655 1271 654 1271 657 1271 586 1272 659 1272 656 1272 660 1273 656 1273 659 1273 583 1274 586 1274 656 1274 657 1275 656 1275 660 1275 587 1276 648 1276 659 1276 661 1277 659 1277 648 1277 586 1278 587 1278 659 1278 660 1279 659 1279 661 1279 661 1280 648 1280 653 1280 582 1281 635 1281 636 1281 662 1282 632 1282 635 1282 582 1283 662 1283 635 1283 662 1284 633 1284 632 1284 663 1285 633 1285 662 1285 634 1286 633 1286 663 1286 582 1287 664 1287 662 1287 665 1288 662 1288 664 1288 666 1289 662 1289 665 1289 663 1290 662 1290 666 1290 581 1291 667 1291 664 1291 665 1292 664 1292 667 1292 582 1293 581 1293 664 1293 583 1294 668 1294 667 1294 669 1295 667 1295 668 1295 581 1296 583 1296 667 1296 665 1297 667 1297 669 1297 583 1298 670 1298 668 1298 671 1299 668 1299 670 1299 669 1300 668 1300 671 1300 672 1301 673 1301 670 1301 674 1302 670 1302 673 1302 675 1303 672 1303 670 1303 583 1304 675 1304 670 1304 671 1305 670 1305 674 1305 676 1306 677 1306 673 1306 678 1307 673 1307 677 1307 672 1308 676 1308 673 1308 674 1309 673 1309 678 1309 679 1310 680 1310 677 1310 666 1311 677 1311 680 1311 676 1312 679 1312 677 1312 666 1313 678 1313 677 1313 681 1314 680 1314 679 1314 663 1315 680 1315 681 1315 663 1316 666 1316 680 1316 682 1317 679 1317 676 1317 683 1318 679 1318 682 1318 681 1319 679 1319 683 1319 682 1320 676 1320 672 1320 684 1321 672 1321 675 1321 682 1322 672 1322 684 1322 583 1323 658 1323 675 1323 685 1324 675 1324 658 1324 684 1325 675 1325 685 1325 591 1326 686 1326 658 1326 687 1327 658 1327 686 1327 685 1328 658 1328 687 1328 591 1329 688 1329 686 1329 689 1330 686 1330 688 1330 687 1331 686 1331 689 1331 601 1332 690 1332 688 1332 683 1333 688 1333 690 1333 602 1334 601 1334 688 1334 600 1335 602 1335 688 1335 597 1336 600 1336 688 1336 594 1337 597 1337 688 1337 591 1338 594 1338 688 1338 683 1339 689 1339 688 1339 604 1340 690 1340 601 1340 681 1341 683 1341 690 1341 604 1342 681 1342 690 1342 691 1343 615 1343 614 1343 692 1344 615 1344 693 1344 694 1345 693 1345 615 1345 692 1346 616 1346 615 1346 694 1347 615 1347 691 1347 695 1348 614 1348 617 1348 695 1349 691 1349 614 1349 696 1350 617 1350 618 1350 695 1351 617 1351 696 1351 613 1352 697 1352 618 1352 698 1353 618 1353 697 1353 696 1354 618 1354 698 1354 612 1355 693 1355 697 1355 699 1356 697 1356 693 1356 613 1357 612 1357 697 1357 698 1358 697 1358 699 1358 612 1359 692 1359 693 1359 699 1360 693 1360 694 1360 621 1361 620 1361 700 1361 701 1362 700 1362 620 1362 702 1363 700 1363 703 1363 704 1364 703 1364 700 1364 702 1365 621 1365 700 1365 704 1366 700 1366 701 1366 705 1367 620 1367 619 1367 705 1368 701 1368 620 1368 706 1369 619 1369 616 1369 705 1370 619 1370 706 1370 707 1371 616 1371 692 1371 706 1372 616 1372 707 1372 612 1373 703 1373 692 1373 708 1374 692 1374 703 1374 707 1375 692 1375 708 1375 612 1376 702 1376 703 1376 708 1377 703 1377 704 1377 709 1378 621 1378 702 1378 710 1379 622 1379 621 1379 710 1380 621 1380 709 1380 612 1381 711 1381 702 1381 712 1382 702 1382 711 1382 712 1383 709 1383 702 1383 612 1384 713 1384 711 1384 714 1385 711 1385 713 1385 712 1386 711 1386 714 1386 624 1387 623 1387 713 1387 715 1388 713 1388 623 1388 716 1389 624 1389 713 1389 612 1390 716 1390 713 1390 714 1391 713 1391 715 1391 717 1392 623 1392 622 1392 715 1393 623 1393 717 1393 717 1394 622 1394 710 1394 718 1395 624 1395 716 1395 719 1396 625 1396 624 1396 719 1397 624 1397 718 1397 612 1398 720 1398 716 1398 721 1399 716 1399 720 1399 721 1400 718 1400 716 1400 612 1401 611 1401 720 1401 722 1402 720 1402 611 1402 721 1403 720 1403 722 1403 723 1404 611 1404 610 1404 722 1405 611 1405 723 1405 724 1406 610 1406 625 1406 723 1407 610 1407 724 1407 724 1408 625 1408 719 1408 725 1409 612 1409 613 1409 726 1410 609 1410 612 1410 726 1411 612 1411 725 1411 727 1412 613 1412 626 1412 727 1413 725 1413 613 1413 728 1414 629 1414 628 1414 729 1415 629 1415 728 1415 729 1416 626 1416 629 1416 696 1417 628 1417 630 1417 696 1418 698 1418 628 1418 728 1419 628 1419 698 1419 730 1420 630 1420 631 1420 696 1421 630 1421 730 1421 731 1422 631 1422 627 1422 730 1423 631 1423 731 1423 731 1424 627 1424 605 1424 634 1425 605 1425 627 1425 730 1426 603 1426 732 1426 733 1427 732 1427 603 1427 734 1428 730 1428 732 1428 735 1429 734 1429 732 1429 733 1430 735 1430 732 1430 731 1431 605 1431 603 1431 730 1432 731 1432 603 1432 736 1433 603 1433 609 1433 736 1434 733 1434 603 1434 663 1435 681 1435 605 1435 604 1436 605 1436 681 1436 634 1437 663 1437 605 1437 723 1438 730 1438 737 1438 734 1439 737 1439 730 1439 695 1440 696 1440 730 1440 706 1441 695 1441 730 1441 705 1442 706 1442 730 1442 710 1443 705 1443 730 1443 717 1444 710 1444 730 1444 719 1445 717 1445 730 1445 724 1446 719 1446 730 1446 723 1447 724 1447 730 1447 737 1448 738 1448 739 1448 740 1449 739 1449 738 1449 741 1450 737 1450 739 1450 742 1451 741 1451 739 1451 743 1452 742 1452 739 1452 740 1453 743 1453 739 1453 734 1454 738 1454 737 1454 744 1455 738 1455 734 1455 744 1456 740 1456 738 1456 722 1457 737 1457 741 1457 722 1458 723 1458 737 1458 699 1459 694 1459 741 1459 707 1460 741 1460 694 1460 698 1461 699 1461 741 1461 728 1462 698 1462 741 1462 708 1463 704 1463 741 1463 712 1464 741 1464 704 1464 707 1465 708 1465 741 1465 712 1466 714 1466 741 1466 721 1467 741 1467 714 1467 721 1468 722 1468 741 1468 742 1469 728 1469 741 1469 707 1470 694 1470 691 1470 706 1471 691 1471 695 1471 706 1472 707 1472 691 1472 709 1473 704 1473 701 1473 710 1474 701 1474 705 1474 710 1475 709 1475 701 1475 712 1476 704 1476 709 1476 719 1477 715 1477 717 1477 718 1478 714 1478 715 1478 719 1479 718 1479 715 1479 721 1480 714 1480 718 1480 745 1481 744 1481 734 1481 735 1482 745 1482 734 1482 746 1483 729 1483 728 1483 742 1484 746 1484 728 1484 650 1485 486 1485 488 1485 650 1486 651 1486 486 1486 482 1487 486 1487 651 1487 643 1488 488 1488 477 1488 646 1489 650 1489 488 1489 643 1490 646 1490 488 1490 643 1491 477 1491 475 1491 643 1492 475 1492 639 1492 479 1493 639 1493 475 1493 479 1494 641 1494 639 1494 479 1495 651 1495 641 1495 479 1496 482 1496 651 1496 660 1497 498 1497 499 1497 660 1498 661 1498 498 1498 495 1499 498 1499 661 1499 655 1500 499 1500 491 1500 657 1501 660 1501 499 1501 655 1502 657 1502 499 1502 655 1503 491 1503 490 1503 655 1504 490 1504 652 1504 493 1505 652 1505 490 1505 493 1506 653 1506 652 1506 493 1507 661 1507 653 1507 493 1508 495 1508 661 1508 684 1509 517 1509 519 1509 684 1510 685 1510 517 1510 512 1511 517 1511 685 1511 683 1512 519 1512 506 1512 682 1513 684 1513 519 1513 683 1514 682 1514 519 1514 683 1515 506 1515 503 1515 683 1516 503 1516 689 1516 509 1517 689 1517 503 1517 509 1518 687 1518 689 1518 509 1519 685 1519 687 1519 509 1520 512 1520 685 1520 669 1521 530 1521 531 1521 669 1522 671 1522 530 1522 527 1523 530 1523 671 1523 666 1524 531 1524 522 1524 665 1525 669 1525 531 1525 666 1526 665 1526 531 1526 666 1527 522 1527 521 1527 666 1528 521 1528 678 1528 524 1529 678 1529 521 1529 524 1530 674 1530 678 1530 524 1531 671 1531 674 1531 524 1532 527 1532 671 1532 547 1533 558 1533 560 1533 544 1534 547 1534 560 1534 537 1535 544 1535 560 1535 550 1536 556 1536 558 1536 547 1537 550 1537 558 1537 553 1538 552 1538 556 1538 550 1539 553 1539 556 1539 537 1540 541 1540 544 1540 538 1541 535 1541 541 1541 537 1542 538 1542 541 1542 727 1543 626 1543 729 1543 736 1544 609 1544 726 1544 565 1545 580 1545 579 1545 565 1546 577 1546 580 1546 563 1547 576 1547 577 1547 565 1548 563 1548 577 1548 567 1549 575 1549 576 1549 563 1550 567 1550 576 1550 569 1551 574 1551 575 1551 567 1552 569 1552 575 1552 572 1553 571 1553 574 1553 569 1554 572 1554 574 1554 727 1555 729 1555 746 1555 747 1556 746 1556 742 1556 727 1557 746 1557 747 1557 747 1558 742 1558 743 1558 748 1559 747 1559 743 1559 740 1560 748 1560 743 1560 748 1561 749 1561 747 1561 727 1562 747 1562 749 1562 726 1563 725 1563 749 1563 727 1564 749 1564 725 1564 748 1565 726 1565 749 1565 736 1566 726 1566 748 1566 745 1567 748 1567 740 1567 736 1568 748 1568 745 1568 745 1569 740 1569 744 1569 736 1570 745 1570 735 1570 736 1571 735 1571 733 1571 750 1572 751 1572 752 1572 753 1573 752 1573 751 1573 754 1574 752 1574 755 1574 756 1575 755 1575 752 1575 750 1576 752 1576 754 1576 753 1577 756 1577 752 1577 757 1578 758 1578 751 1578 759 1579 751 1579 758 1579 760 1580 757 1580 751 1580 750 1581 760 1581 751 1581 761 1582 753 1582 751 1582 759 1583 761 1583 751 1583 762 1584 763 1584 758 1584 764 1585 758 1585 763 1585 757 1586 762 1586 758 1586 764 1587 759 1587 758 1587 765 1588 766 1588 763 1588 767 1589 763 1589 766 1589 768 1590 763 1590 762 1590 769 1591 765 1591 763 1591 768 1592 769 1592 763 1592 767 1593 764 1593 763 1593 770 1594 771 1594 766 1594 767 1595 766 1595 771 1595 770 1596 766 1596 765 1596 772 1597 773 1597 771 1597 774 1598 771 1598 773 1598 770 1599 772 1599 771 1599 767 1600 771 1600 774 1600 775 1601 776 1601 773 1601 777 1602 773 1602 776 1602 778 1603 775 1603 773 1603 772 1604 778 1604 773 1604 779 1605 774 1605 773 1605 777 1606 779 1606 773 1606 780 1607 781 1607 776 1607 782 1608 776 1608 781 1608 775 1609 780 1609 776 1609 782 1610 777 1610 776 1610 783 1611 755 1611 781 1611 784 1612 781 1612 755 1612 785 1613 783 1613 781 1613 786 1614 785 1614 781 1614 780 1615 786 1615 781 1615 787 1616 782 1616 781 1616 784 1617 787 1617 781 1617 754 1618 755 1618 783 1618 756 1619 784 1619 755 1619 788 1620 762 1620 757 1620 768 1621 762 1621 789 1621 790 1622 789 1622 762 1622 791 1623 790 1623 762 1623 788 1624 791 1624 762 1624 792 1625 757 1625 760 1625 793 1626 788 1626 757 1626 792 1627 793 1627 757 1627 750 1628 794 1628 760 1628 795 1629 760 1629 794 1629 796 1630 792 1630 760 1630 795 1631 796 1631 760 1631 750 1632 797 1632 794 1632 798 1633 794 1633 797 1633 799 1634 794 1634 798 1634 799 1635 795 1635 794 1635 800 1636 789 1636 797 1636 801 1637 797 1637 789 1637 750 1638 800 1638 797 1638 802 1639 798 1639 797 1639 801 1640 802 1640 797 1640 803 1641 768 1641 789 1641 804 1642 803 1642 789 1642 805 1643 804 1643 789 1643 800 1644 805 1644 789 1644 806 1645 801 1645 789 1645 790 1646 806 1646 789 1646 807 1647 783 1647 785 1647 754 1648 783 1648 808 1648 809 1649 808 1649 783 1649 810 1650 809 1650 783 1650 807 1651 810 1651 783 1651 811 1652 785 1652 786 1652 812 1653 807 1653 785 1653 811 1654 812 1654 785 1654 813 1655 814 1655 786 1655 815 1656 786 1656 814 1656 813 1657 786 1657 780 1657 816 1658 811 1658 786 1658 815 1659 816 1659 786 1659 817 1660 818 1660 814 1660 819 1661 814 1661 818 1661 820 1662 814 1662 813 1662 821 1663 822 1663 814 1663 817 1664 814 1664 822 1664 823 1665 821 1665 814 1665 820 1666 823 1666 814 1666 824 1667 814 1667 819 1667 824 1668 815 1668 814 1668 817 1669 808 1669 818 1669 825 1670 818 1670 808 1670 826 1671 819 1671 818 1671 825 1672 826 1672 818 1672 817 1673 754 1673 808 1673 827 1674 825 1674 808 1674 809 1675 827 1675 808 1675 828 1676 780 1676 775 1676 829 1677 813 1677 780 1677 830 1678 829 1678 780 1678 828 1679 830 1679 780 1679 831 1680 775 1680 778 1680 832 1681 828 1681 775 1681 831 1682 832 1682 775 1682 772 1683 833 1683 778 1683 834 1684 778 1684 833 1684 835 1685 831 1685 778 1685 834 1686 835 1686 778 1686 772 1687 836 1687 833 1687 837 1688 833 1688 836 1688 838 1689 833 1689 837 1689 838 1690 834 1690 833 1690 839 1691 813 1691 836 1691 840 1692 836 1692 813 1692 772 1693 839 1693 836 1693 841 1694 837 1694 836 1694 840 1695 841 1695 836 1695 842 1696 820 1696 813 1696 839 1697 842 1697 813 1697 843 1698 840 1698 813 1698 829 1699 843 1699 813 1699 844 1700 765 1700 769 1700 770 1701 765 1701 845 1701 846 1702 845 1702 765 1702 847 1703 846 1703 765 1703 844 1704 847 1704 765 1704 848 1705 769 1705 768 1705 849 1706 844 1706 769 1706 848 1707 849 1707 769 1707 850 1708 768 1708 803 1708 851 1709 848 1709 768 1709 850 1710 851 1710 768 1710 852 1711 853 1711 803 1711 854 1712 803 1712 853 1712 804 1713 855 1713 803 1713 856 1714 803 1714 855 1714 856 1715 857 1715 803 1715 852 1716 803 1716 857 1716 858 1717 803 1717 854 1717 858 1718 850 1718 803 1718 852 1719 845 1719 853 1719 859 1720 853 1720 845 1720 860 1721 854 1721 853 1721 859 1722 860 1722 853 1722 852 1723 770 1723 845 1723 861 1724 859 1724 845 1724 846 1725 861 1725 845 1725 862 1726 822 1726 821 1726 817 1727 822 1727 863 1727 864 1728 863 1728 822 1728 864 1729 822 1729 862 1729 865 1730 821 1730 823 1730 862 1731 821 1731 865 1731 820 1732 866 1732 823 1732 867 1733 823 1733 866 1733 865 1734 823 1734 867 1734 868 1735 866 1735 820 1735 868 1736 867 1736 866 1736 869 1737 820 1737 842 1737 868 1738 820 1738 869 1738 839 1739 870 1739 842 1739 871 1740 842 1740 870 1740 869 1741 842 1741 871 1741 839 1742 872 1742 870 1742 873 1743 870 1743 872 1743 871 1744 870 1744 873 1744 839 1745 874 1745 872 1745 875 1746 872 1746 874 1746 873 1747 872 1747 875 1747 839 1748 876 1748 874 1748 877 1749 874 1749 876 1749 875 1750 874 1750 877 1750 839 1751 878 1751 876 1751 879 1752 876 1752 878 1752 877 1753 876 1753 879 1753 880 1754 881 1754 878 1754 882 1755 878 1755 881 1755 839 1756 880 1756 878 1756 879 1757 878 1757 882 1757 817 1758 883 1758 881 1758 884 1759 881 1759 883 1759 880 1760 817 1760 881 1760 882 1761 881 1761 884 1761 817 1762 863 1762 883 1762 885 1763 883 1763 863 1763 884 1764 883 1764 885 1764 885 1765 863 1765 864 1765 804 1766 886 1766 855 1766 887 1767 855 1767 886 1767 888 1768 856 1768 855 1768 888 1769 855 1769 887 1769 889 1770 886 1770 804 1770 887 1771 886 1771 889 1771 890 1772 804 1772 805 1772 889 1773 804 1773 890 1773 800 1774 891 1774 805 1774 892 1775 805 1775 891 1775 890 1776 805 1776 892 1776 800 1777 893 1777 891 1777 894 1778 891 1778 893 1778 892 1779 891 1779 894 1779 800 1780 895 1780 893 1780 896 1781 893 1781 895 1781 894 1782 893 1782 896 1782 800 1783 897 1783 895 1783 898 1784 895 1784 897 1784 898 1785 896 1785 895 1785 800 1786 899 1786 897 1786 900 1787 897 1787 899 1787 898 1788 897 1788 900 1788 901 1789 902 1789 899 1789 903 1790 899 1790 902 1790 800 1791 901 1791 899 1791 900 1792 899 1792 903 1792 852 1793 904 1793 902 1793 905 1794 902 1794 904 1794 901 1795 852 1795 902 1795 903 1796 902 1796 905 1796 852 1797 906 1797 904 1797 907 1798 904 1798 906 1798 905 1799 904 1799 907 1799 852 1800 857 1800 906 1800 908 1801 906 1801 857 1801 907 1802 906 1802 908 1802 909 1803 857 1803 856 1803 908 1804 857 1804 909 1804 909 1805 856 1805 888 1805 910 1806 754 1806 817 1806 911 1807 750 1807 754 1807 911 1808 754 1808 910 1808 912 1809 817 1809 880 1809 910 1810 817 1810 912 1810 913 1811 914 1811 880 1811 915 1812 880 1812 914 1812 839 1813 913 1813 880 1813 912 1814 880 1814 915 1814 916 1815 914 1815 913 1815 915 1816 914 1816 916 1816 917 1817 913 1817 839 1817 916 1818 913 1818 917 1818 918 1819 839 1819 772 1819 917 1820 839 1820 918 1820 919 1821 772 1821 770 1821 918 1822 772 1822 919 1822 920 1823 770 1823 852 1823 919 1824 770 1824 920 1824 921 1825 852 1825 901 1825 921 1826 920 1826 852 1826 922 1827 923 1827 901 1827 924 1828 901 1828 923 1828 800 1829 922 1829 901 1829 921 1830 901 1830 924 1830 925 1831 923 1831 922 1831 924 1832 923 1832 925 1832 926 1833 922 1833 800 1833 925 1834 922 1834 926 1834 927 1835 800 1835 750 1835 926 1836 800 1836 927 1836 927 1837 750 1837 911 1837 928 1838 929 1838 930 1838 931 1839 930 1839 929 1839 932 1840 930 1840 933 1840 934 1841 933 1841 930 1841 935 1842 928 1842 930 1842 936 1843 935 1843 930 1843 932 1844 936 1844 930 1844 937 1845 934 1845 930 1845 931 1846 937 1846 930 1846 938 1847 939 1847 929 1847 940 1848 929 1848 939 1848 941 1849 938 1849 929 1849 942 1850 941 1850 929 1850 928 1851 942 1851 929 1851 943 1852 931 1852 929 1852 944 1853 943 1853 929 1853 945 1854 944 1854 929 1854 946 1855 945 1855 929 1855 947 1856 946 1856 929 1856 940 1857 947 1857 929 1857 882 1858 948 1858 939 1858 949 1859 939 1859 948 1859 879 1860 882 1860 939 1860 877 1861 879 1861 939 1861 938 1862 877 1862 939 1862 949 1863 940 1863 939 1863 884 1864 950 1864 948 1864 951 1865 948 1865 950 1865 882 1866 884 1866 948 1866 951 1867 949 1867 948 1867 952 1868 953 1868 950 1868 954 1869 950 1869 953 1869 885 1870 864 1870 950 1870 955 1871 950 1871 864 1871 884 1872 885 1872 950 1872 956 1873 952 1873 950 1873 955 1874 956 1874 950 1874 954 1875 951 1875 950 1875 957 1876 958 1876 953 1876 959 1877 953 1877 958 1877 960 1878 957 1878 953 1878 961 1879 960 1879 953 1879 962 1880 961 1880 953 1880 963 1881 962 1881 953 1881 952 1882 963 1882 953 1882 964 1883 965 1883 953 1883 954 1884 953 1884 965 1884 959 1885 964 1885 953 1885 966 1886 967 1886 958 1886 968 1887 958 1887 967 1887 969 1888 966 1888 958 1888 970 1889 969 1889 958 1889 957 1890 970 1890 958 1890 971 1891 958 1891 968 1891 971 1892 959 1892 958 1892 972 1893 973 1893 967 1893 974 1894 967 1894 973 1894 975 1895 972 1895 967 1895 976 1896 975 1896 967 1896 966 1897 976 1897 967 1897 977 1898 967 1898 974 1898 978 1899 967 1899 977 1899 979 1900 980 1900 967 1900 981 1901 967 1901 980 1901 978 1902 979 1902 967 1902 981 1903 968 1903 967 1903 903 1904 982 1904 973 1904 983 1905 973 1905 982 1905 900 1906 903 1906 973 1906 898 1907 900 1907 973 1907 972 1908 898 1908 973 1908 974 1909 973 1909 983 1909 905 1910 984 1910 982 1910 985 1911 982 1911 984 1911 903 1912 905 1912 982 1912 983 1913 982 1913 985 1913 986 1914 933 1914 984 1914 987 1915 984 1915 933 1915 907 1916 908 1916 984 1916 988 1917 984 1917 908 1917 905 1918 907 1918 984 1918 989 1919 986 1919 984 1919 988 1920 989 1920 984 1920 985 1921 984 1921 987 1921 990 1922 991 1922 933 1922 992 1923 933 1923 991 1923 993 1924 990 1924 933 1924 986 1925 993 1925 933 1925 992 1926 932 1926 933 1926 994 1927 987 1927 933 1927 995 1928 994 1928 933 1928 934 1929 995 1929 933 1929 996 1930 865 1930 867 1930 868 1931 869 1931 867 1931 997 1932 867 1932 869 1932 997 1933 996 1933 867 1933 998 1934 862 1934 865 1934 999 1935 998 1935 865 1935 996 1936 999 1936 865 1936 955 1937 864 1937 862 1937 998 1938 955 1938 862 1938 938 1939 875 1939 877 1939 1000 1940 873 1940 875 1940 1001 1941 1000 1941 875 1941 938 1942 1001 1942 875 1942 997 1943 871 1943 873 1943 1000 1944 997 1944 873 1944 997 1945 869 1945 871 1945 1002 1946 894 1946 896 1946 972 1947 896 1947 898 1947 1003 1948 1002 1948 896 1948 972 1949 1003 1949 896 1949 1004 1950 892 1950 894 1950 1002 1951 1004 1951 894 1951 1004 1952 890 1952 892 1952 887 1953 889 1953 890 1953 1004 1954 887 1954 890 1954 1005 1955 888 1955 887 1955 1004 1956 1005 1956 887 1956 1006 1957 909 1957 888 1957 1007 1958 1006 1958 888 1958 1005 1959 1007 1959 888 1959 988 1960 908 1960 909 1960 1006 1961 988 1961 909 1961 992 1962 1008 1962 1009 1962 849 1963 1009 1963 1008 1963 767 1964 992 1964 1009 1964 1010 1965 767 1965 1009 1965 848 1966 1009 1966 849 1966 1010 1967 1009 1967 848 1967 992 1968 1011 1968 1008 1968 849 1969 1008 1969 1011 1969 992 1970 991 1970 1011 1970 844 1971 1011 1971 991 1971 849 1972 1011 1972 844 1972 847 1973 991 1973 990 1973 844 1974 991 1974 847 1974 846 1975 990 1975 993 1975 847 1976 990 1976 846 1976 861 1977 993 1977 986 1977 846 1978 993 1978 861 1978 859 1979 986 1979 989 1979 861 1980 986 1980 859 1980 860 1981 989 1981 988 1981 859 1982 989 1982 860 1982 854 1983 988 1983 1006 1983 860 1984 988 1984 854 1984 850 1985 1006 1985 1007 1985 858 1986 854 1986 1006 1986 858 1987 1006 1987 850 1987 1012 1988 1013 1988 1007 1988 851 1989 1007 1989 1013 1989 1005 1990 1012 1990 1007 1990 850 1991 1007 1991 851 1991 767 1992 1013 1992 1012 1992 1010 1993 1013 1993 767 1993 851 1994 1013 1994 848 1994 1010 1995 848 1995 1013 1995 764 1996 1012 1996 1005 1996 767 1997 1012 1997 764 1997 1014 1998 1015 1998 1005 1998 759 1999 1005 1999 1015 1999 1004 2000 1014 2000 1005 2000 764 2001 1005 2001 759 2001 1016 2002 1017 2002 1015 2002 759 2003 1015 2003 1017 2003 1014 2004 1016 2004 1015 2004 793 2005 1017 2005 1016 2005 1018 2006 759 2006 1017 2006 792 2007 1017 2007 793 2007 1018 2008 1017 2008 792 2008 793 2009 1016 2009 1014 2009 788 2010 1014 2010 1004 2010 793 2011 1014 2011 788 2011 791 2012 1004 2012 1002 2012 788 2013 1004 2013 791 2013 790 2014 1002 2014 1003 2014 791 2015 1002 2015 790 2015 806 2016 1003 2016 972 2016 790 2017 1003 2017 806 2017 801 2018 972 2018 975 2018 806 2019 972 2019 801 2019 802 2020 975 2020 976 2020 801 2021 975 2021 802 2021 798 2022 976 2022 966 2022 802 2023 976 2023 798 2023 795 2024 966 2024 969 2024 799 2025 798 2025 966 2025 799 2026 966 2026 795 2026 970 2027 1019 2027 969 2027 796 2028 969 2028 1019 2028 795 2029 969 2029 796 2029 761 2030 1019 2030 970 2030 759 2031 1019 2031 761 2031 1018 2032 1019 2032 759 2032 796 2033 1019 2033 792 2033 1018 2034 792 2034 1019 2034 761 2035 970 2035 957 2035 753 2036 957 2036 960 2036 761 2037 957 2037 753 2037 1020 2038 1021 2038 960 2038 756 2039 960 2039 1021 2039 1022 2040 1020 2040 960 2040 961 2041 1022 2041 960 2041 753 2042 960 2042 756 2042 812 2043 1021 2043 1020 2043 1023 2044 756 2044 1021 2044 811 2045 1021 2045 812 2045 1023 2046 1021 2046 811 2046 812 2047 1020 2047 1022 2047 807 2048 1022 2048 961 2048 812 2049 1022 2049 807 2049 810 2050 961 2050 962 2050 807 2051 961 2051 810 2051 809 2052 962 2052 963 2052 810 2053 962 2053 809 2053 827 2054 963 2054 952 2054 809 2055 963 2055 827 2055 825 2056 952 2056 956 2056 827 2057 952 2057 825 2057 826 2058 956 2058 955 2058 825 2059 956 2059 826 2059 819 2060 955 2060 998 2060 826 2061 955 2061 819 2061 815 2062 998 2062 999 2062 824 2063 819 2063 998 2063 824 2064 998 2064 815 2064 1024 2065 1025 2065 999 2065 816 2066 999 2066 1025 2066 996 2067 1024 2067 999 2067 815 2068 999 2068 816 2068 784 2069 1025 2069 1024 2069 1026 2070 1025 2070 784 2070 816 2071 1025 2071 811 2071 1026 2072 811 2072 1025 2072 787 2073 1024 2073 996 2073 784 2074 1024 2074 787 2074 1027 2075 1028 2075 996 2075 782 2076 996 2076 1028 2076 997 2077 1027 2077 996 2077 787 2078 996 2078 782 2078 1029 2079 1030 2079 1028 2079 782 2080 1028 2080 1030 2080 1027 2081 1029 2081 1028 2081 832 2082 1030 2082 1029 2082 1031 2083 782 2083 1030 2083 831 2084 1030 2084 832 2084 1031 2085 1030 2085 831 2085 832 2086 1029 2086 1027 2086 828 2087 1027 2087 997 2087 832 2088 1027 2088 828 2088 830 2089 997 2089 1000 2089 828 2090 997 2090 830 2090 829 2091 1000 2091 1001 2091 830 2092 1000 2092 829 2092 843 2093 1001 2093 938 2093 829 2094 1001 2094 843 2094 840 2095 938 2095 941 2095 843 2096 938 2096 840 2096 841 2097 941 2097 942 2097 840 2098 941 2098 841 2098 837 2099 942 2099 928 2099 841 2100 942 2100 837 2100 834 2101 928 2101 935 2101 838 2102 837 2102 928 2102 838 2103 928 2103 834 2103 936 2104 1032 2104 935 2104 835 2105 935 2105 1032 2105 834 2106 935 2106 835 2106 779 2107 1032 2107 936 2107 777 2108 1032 2108 779 2108 1033 2109 1032 2109 777 2109 835 2110 1032 2110 831 2110 1033 2111 831 2111 1032 2111 779 2112 936 2112 932 2112 774 2113 932 2113 992 2113 779 2114 932 2114 774 2114 767 2115 774 2115 992 2115 912 2116 1034 2116 1035 2116 1036 2117 1035 2117 1034 2117 1037 2118 912 2118 1035 2118 1037 2119 1035 2119 1038 2119 1039 2120 1038 2120 1035 2120 1039 2121 1035 2121 1036 2121 915 2122 1040 2122 1034 2122 1041 2123 1034 2123 1040 2123 912 2124 915 2124 1034 2124 1042 2125 1043 2125 1034 2125 1036 2126 1034 2126 1043 2126 1041 2127 1042 2127 1034 2127 1044 2128 1040 2128 1045 2128 916 2129 1045 2129 1040 2129 1046 2130 1040 2130 1044 2130 915 2131 916 2131 1040 2131 1041 2132 1040 2132 1047 2132 1048 2133 1047 2133 1040 2133 1046 2134 1048 2134 1040 2134 917 2135 1044 2135 1045 2135 916 2136 917 2136 1045 2136 918 2137 1049 2137 1044 2137 1050 2138 1044 2138 1049 2138 917 2139 918 2139 1044 2139 1046 2140 1044 2140 1050 2140 919 2141 1051 2141 1049 2141 1052 2142 1049 2142 1051 2142 918 2143 919 2143 1049 2143 1052 2144 1053 2144 1049 2144 1050 2145 1049 2145 1053 2145 1054 2146 1055 2146 1051 2146 1056 2147 1051 2147 1055 2147 919 2148 1054 2148 1051 2148 1057 2149 1052 2149 1051 2149 1058 2150 1057 2150 1051 2150 1059 2151 1058 2151 1051 2151 1056 2152 1059 2152 1051 2152 1054 2153 1060 2153 1055 2153 1056 2154 1055 2154 1060 2154 946 2155 1060 2155 1054 2155 946 2156 1056 2156 1060 2156 919 2157 1061 2157 1054 2157 946 2158 1054 2158 1061 2158 920 2159 1062 2159 1061 2159 945 2160 1061 2160 1062 2160 919 2161 920 2161 1061 2161 946 2162 1061 2162 945 2162 920 2163 1063 2163 1062 2163 944 2164 1062 2164 1063 2164 945 2165 1062 2165 944 2165 920 2166 1064 2166 1063 2166 943 2167 1063 2167 1064 2167 944 2168 1063 2168 943 2168 921 2169 1064 2169 920 2169 1065 2170 1064 2170 921 2170 931 2171 1064 2171 1065 2171 943 2172 1064 2172 931 2172 1066 2173 910 2173 912 2173 1067 2174 1066 2174 912 2174 1068 2175 1067 2175 912 2175 1069 2176 1068 2176 912 2176 1070 2177 1069 2177 912 2177 1038 2178 1070 2178 912 2178 1037 2179 1038 2179 912 2179 1071 2180 910 2180 1066 2180 1072 2181 1073 2181 910 2181 911 2182 910 2182 1073 2182 1071 2183 1072 2183 910 2183 968 2184 1066 2184 1067 2184 981 2185 1071 2185 1066 2185 981 2186 1066 2186 968 2186 971 2187 1067 2187 1068 2187 971 2188 968 2188 1067 2188 959 2189 1068 2189 1069 2189 971 2190 1068 2190 959 2190 964 2191 1069 2191 1070 2191 959 2192 1069 2192 964 2192 1039 2193 1070 2193 1038 2193 1074 2194 1070 2194 1039 2194 1075 2195 1070 2195 1074 2195 965 2196 1070 2196 1076 2196 1075 2197 1076 2197 1070 2197 964 2198 1070 2198 965 2198 921 2199 1077 2199 1078 2199 1079 2200 1078 2200 1077 2200 1080 2201 921 2201 1078 2201 1080 2202 1078 2202 1081 2202 1082 2203 1081 2203 1078 2203 1082 2204 1078 2204 1079 2204 924 2205 1083 2205 1077 2205 1084 2206 1077 2206 1083 2206 921 2207 924 2207 1077 2207 1085 2208 1086 2208 1077 2208 1079 2209 1077 2209 1086 2209 1084 2210 1085 2210 1077 2210 1087 2211 1083 2211 1088 2211 925 2212 1088 2212 1083 2212 1089 2213 1083 2213 1087 2213 924 2214 925 2214 1083 2214 1084 2215 1083 2215 1090 2215 1091 2216 1090 2216 1083 2216 1089 2217 1091 2217 1083 2217 926 2218 1087 2218 1088 2218 925 2219 926 2219 1088 2219 927 2220 1092 2220 1087 2220 1093 2221 1087 2221 1092 2221 926 2222 927 2222 1087 2222 1089 2223 1087 2223 1093 2223 911 2224 1094 2224 1092 2224 1095 2225 1092 2225 1094 2225 927 2226 911 2226 1092 2226 1095 2227 1096 2227 1092 2227 1093 2228 1092 2228 1096 2228 1097 2229 1098 2229 1094 2229 1099 2230 1094 2230 1098 2230 911 2231 1097 2231 1094 2231 1100 2232 1095 2232 1094 2232 1101 2233 1100 2233 1094 2233 1102 2234 1101 2234 1094 2234 1099 2235 1102 2235 1094 2235 1097 2236 1103 2236 1098 2236 1099 2237 1098 2237 1103 2237 978 2238 1103 2238 1097 2238 978 2239 1099 2239 1103 2239 911 2240 1073 2240 1097 2240 978 2241 1097 2241 1073 2241 979 2242 1073 2242 1072 2242 978 2243 1073 2243 979 2243 980 2244 1072 2244 1071 2244 979 2245 1072 2245 980 2245 981 2246 980 2246 1071 2246 1104 2247 1065 2247 921 2247 1105 2248 1104 2248 921 2248 1106 2249 1105 2249 921 2249 1081 2250 1106 2250 921 2250 1080 2251 1081 2251 921 2251 937 2252 1065 2252 1104 2252 931 2253 1065 2253 937 2253 934 2254 1104 2254 1105 2254 937 2255 1104 2255 934 2255 995 2256 1105 2256 1106 2256 934 2257 1105 2257 995 2257 1082 2258 1106 2258 1081 2258 1107 2259 1106 2259 1082 2259 994 2260 1106 2260 1107 2260 995 2261 1106 2261 994 2261 1031 2262 777 2262 782 2262 1108 2263 777 2263 1031 2263 1108 2264 1033 2264 777 2264 1023 2265 784 2265 756 2265 1109 2266 784 2266 1023 2266 1109 2267 1026 2267 784 2267 1110 2268 1053 2268 1052 2268 1111 2269 1050 2269 1053 2269 1111 2270 1053 2270 1110 2270 1112 2271 1052 2271 1057 2271 1110 2272 1052 2272 1112 2272 1058 2273 1113 2273 1057 2273 1114 2274 1057 2274 1113 2274 1112 2275 1057 2275 1114 2275 1046 2276 1115 2276 1113 2276 1116 2277 1113 2277 1115 2277 1058 2278 1046 2278 1113 2278 1114 2279 1113 2279 1116 2279 1046 2280 1050 2280 1115 2280 1117 2281 1115 2281 1050 2281 1117 2282 1116 2282 1115 2282 1117 2283 1050 2283 1111 2283 1091 2284 1118 2284 1090 2284 1119 2285 1090 2285 1118 2285 1120 2286 1084 2286 1090 2286 1120 2287 1090 2287 1119 2287 1121 2288 1122 2288 1118 2288 1123 2289 1118 2289 1122 2289 1091 2290 1121 2290 1118 2290 1119 2291 1118 2291 1123 2291 1121 2292 1086 2292 1122 2292 1124 2293 1122 2293 1086 2293 1123 2294 1122 2294 1124 2294 1125 2295 1086 2295 1085 2295 1121 2296 1079 2296 1086 2296 1124 2297 1086 2297 1125 2297 1126 2298 1085 2298 1084 2298 1126 2299 1125 2299 1085 2299 1126 2300 1084 2300 1120 2300 1127 2301 1096 2301 1095 2301 1128 2302 1093 2302 1096 2302 1128 2303 1096 2303 1127 2303 1129 2304 1095 2304 1100 2304 1127 2305 1095 2305 1129 2305 1101 2306 1130 2306 1100 2306 1131 2307 1100 2307 1130 2307 1129 2308 1100 2308 1131 2308 1089 2309 1132 2309 1130 2309 1133 2310 1130 2310 1132 2310 1101 2311 1089 2311 1130 2311 1131 2312 1130 2312 1133 2312 1089 2313 1093 2313 1132 2313 1134 2314 1132 2314 1093 2314 1134 2315 1133 2315 1132 2315 1134 2316 1093 2316 1128 2316 1048 2317 1135 2317 1047 2317 1136 2318 1047 2318 1135 2318 1137 2319 1041 2319 1047 2319 1137 2320 1047 2320 1136 2320 1138 2321 1139 2321 1135 2321 1140 2322 1135 2322 1139 2322 1048 2323 1138 2323 1135 2323 1136 2324 1135 2324 1140 2324 1138 2325 1043 2325 1139 2325 1141 2326 1139 2326 1043 2326 1140 2327 1139 2327 1141 2327 1142 2328 1043 2328 1042 2328 1138 2329 1036 2329 1043 2329 1141 2330 1043 2330 1142 2330 1143 2331 1042 2331 1041 2331 1143 2332 1142 2332 1042 2332 1143 2333 1041 2333 1137 2333 1144 2334 1079 2334 1121 2334 1082 2335 1079 2335 1145 2335 1146 2336 1145 2336 1079 2336 1146 2337 1079 2337 1144 2337 1147 2338 1121 2338 1091 2338 1148 2339 1121 2339 1147 2339 1144 2340 1121 2340 1148 2340 1149 2341 1091 2341 1089 2341 1150 2342 1091 2342 1149 2342 1147 2343 1091 2343 1150 2343 1151 2344 1089 2344 1101 2344 1149 2345 1089 2345 1151 2345 1152 2346 1101 2346 1102 2346 1153 2347 1101 2347 1152 2347 1151 2348 1101 2348 1153 2348 1154 2349 1102 2349 1099 2349 1155 2350 1102 2350 1154 2350 1152 2351 1102 2351 1156 2351 1155 2352 1156 2352 1102 2352 1157 2353 1036 2353 1138 2353 1039 2354 1036 2354 1158 2354 1159 2355 1158 2355 1036 2355 1159 2356 1036 2356 1157 2356 1160 2357 1138 2357 1048 2357 1161 2358 1138 2358 1160 2358 1157 2359 1138 2359 1161 2359 1162 2360 1048 2360 1046 2360 1163 2361 1048 2361 1162 2361 1160 2362 1048 2362 1163 2362 1164 2363 1046 2363 1058 2363 1162 2364 1046 2364 1164 2364 1165 2365 1058 2365 1059 2365 1166 2366 1058 2366 1165 2366 1164 2367 1058 2367 1166 2367 1167 2368 1059 2368 1056 2368 1168 2369 1059 2369 1167 2369 1165 2370 1059 2370 1169 2370 1168 2371 1169 2371 1059 2371 1082 2372 1145 2372 1170 2372 1146 2373 1170 2373 1145 2373 1144 2374 1082 2374 1170 2374 1146 2375 1144 2375 1170 2375 1144 2376 1171 2376 1082 2376 1107 2377 1082 2377 1171 2377 1147 2378 1172 2378 1171 2378 987 2379 1171 2379 1172 2379 1148 2380 1147 2380 1171 2380 1144 2381 1148 2381 1171 2381 987 2382 1107 2382 1171 2382 1173 2383 1172 2383 1174 2383 1149 2384 1174 2384 1172 2384 983 2385 1172 2385 1173 2385 1150 2386 1149 2386 1172 2386 1147 2387 1150 2387 1172 2387 985 2388 987 2388 1172 2388 983 2389 985 2389 1172 2389 1151 2390 1173 2390 1174 2390 1149 2391 1151 2391 1174 2391 1152 2392 1175 2392 1173 2392 983 2393 1173 2393 1175 2393 1153 2394 1152 2394 1173 2394 1151 2395 1153 2395 1173 2395 1154 2396 1099 2396 1175 2396 974 2397 1175 2397 1099 2397 1176 2398 1154 2398 1175 2398 1156 2399 1176 2399 1175 2399 1152 2400 1156 2400 1175 2400 974 2401 983 2401 1175 2401 977 2402 974 2402 1099 2402 978 2403 977 2403 1099 2403 1155 2404 1154 2404 1176 2404 1155 2405 1176 2405 1156 2405 1039 2406 1158 2406 1177 2406 1159 2407 1177 2407 1158 2407 1157 2408 1039 2408 1177 2408 1159 2409 1157 2409 1177 2409 1157 2410 1178 2410 1039 2410 1074 2411 1039 2411 1178 2411 1160 2412 1179 2412 1178 2412 1180 2413 1178 2413 1179 2413 1161 2414 1160 2414 1178 2414 1157 2415 1161 2415 1178 2415 1180 2416 1074 2416 1178 2416 1181 2417 1179 2417 1182 2417 1163 2418 1182 2418 1179 2418 1183 2419 1179 2419 1181 2419 1160 2420 1163 2420 1179 2420 1184 2421 1180 2421 1179 2421 1183 2422 1184 2422 1179 2422 1164 2423 1181 2423 1182 2423 1162 2424 1164 2424 1182 2424 1163 2425 1162 2425 1182 2425 1165 2426 1185 2426 1181 2426 1183 2427 1181 2427 1185 2427 1166 2428 1165 2428 1181 2428 1164 2429 1166 2429 1181 2429 1167 2430 1056 2430 1185 2430 1186 2431 1185 2431 1056 2431 1187 2432 1167 2432 1185 2432 1169 2433 1187 2433 1185 2433 1165 2434 1169 2434 1185 2434 1186 2435 1183 2435 1185 2435 1188 2436 1186 2436 1056 2436 946 2437 1188 2437 1056 2437 1168 2438 1167 2438 1187 2438 1168 2439 1187 2439 1169 2439 1189 2440 1023 2440 811 2440 1026 2441 1189 2441 811 2441 1109 2442 1023 2442 1189 2442 1109 2443 1189 2443 1026 2443 1190 2444 1031 2444 831 2444 1033 2445 1190 2445 831 2445 1108 2446 1031 2446 1190 2446 1108 2447 1190 2447 1033 2447 994 2448 1107 2448 987 2448 1075 2449 1074 2449 1180 2449 954 2450 1180 2450 1184 2450 954 2451 1076 2451 1180 2451 1075 2452 1180 2452 1076 2452 951 2453 1184 2453 1183 2453 954 2454 1184 2454 951 2454 940 2455 1183 2455 1186 2455 949 2456 1183 2456 940 2456 951 2457 1183 2457 949 2457 1186 2458 1188 2458 1191 2458 940 2459 1186 2459 947 2459 1191 2460 1188 2460 946 2460 1191 2461 947 2461 1186 2461 954 2462 965 2462 1076 2462 1191 2463 946 2463 947 2463 1114 2464 1116 2464 1192 2464 1117 2465 1192 2465 1116 2465 1112 2466 1114 2466 1192 2466 1110 2467 1112 2467 1192 2467 1111 2468 1110 2468 1192 2468 1117 2469 1111 2469 1192 2469 1124 2470 1125 2470 1193 2470 1126 2471 1193 2471 1125 2471 1123 2472 1124 2472 1193 2472 1119 2473 1123 2473 1193 2473 1120 2474 1119 2474 1193 2474 1126 2475 1120 2475 1193 2475 1131 2476 1133 2476 1194 2476 1134 2477 1194 2477 1133 2477 1129 2478 1131 2478 1194 2478 1127 2479 1129 2479 1194 2479 1128 2480 1127 2480 1194 2480 1134 2481 1128 2481 1194 2481 1141 2482 1142 2482 1195 2482 1143 2483 1195 2483 1142 2483 1140 2484 1141 2484 1195 2484 1136 2485 1140 2485 1195 2485 1137 2486 1136 2486 1195 2486 1143 2487 1137 2487 1195 2487 1196 2488 1197 2488 1198 2488 1199 2489 1198 2489 1197 2489 1200 2490 1196 2490 1198 2490 1201 2491 1200 2491 1198 2491 1201 2492 1198 2492 1199 2492 1196 2493 1202 2493 1197 2493 1203 2494 1197 2494 1202 2494 1203 2495 1199 2495 1197 2495 1196 2496 1204 2496 1202 2496 1205 2497 1202 2497 1204 2497 1205 2498 1203 2498 1202 2498 1206 2499 1204 2499 1196 2499 1205 2500 1204 2500 1206 2500 1207 2501 1208 2501 1196 2501 1209 2502 1196 2502 1208 2502 1200 2503 1207 2503 1196 2503 1210 2504 1196 2504 1209 2504 1211 2505 1196 2505 1210 2505 1206 2506 1196 2506 1211 2506 1212 2507 1208 2507 1207 2507 1213 2508 1209 2508 1208 2508 1213 2509 1208 2509 1212 2509 1214 2510 1207 2510 1200 2510 1212 2511 1207 2511 1214 2511 1201 2512 1214 2512 1200 2512 1215 2513 1216 2513 1217 2513 1218 2514 1217 2514 1216 2514 1219 2515 1215 2515 1217 2515 1220 2516 1219 2516 1217 2516 1220 2517 1217 2517 1218 2517 1221 2518 1222 2518 1216 2518 1223 2519 1216 2519 1222 2519 1224 2520 1221 2520 1216 2520 1225 2521 1224 2521 1216 2521 1226 2522 1225 2522 1216 2522 1215 2523 1226 2523 1216 2523 1218 2524 1216 2524 1223 2524 1227 2525 1228 2525 1222 2525 1229 2526 1222 2526 1228 2526 1221 2527 1227 2527 1222 2527 1223 2528 1222 2528 1229 2528 1230 2529 1228 2529 1227 2529 1230 2530 1231 2530 1228 2530 1232 2531 1228 2531 1231 2531 1229 2532 1228 2532 1232 2532 1233 2533 1227 2533 1221 2533 1234 2534 1230 2534 1227 2534 1234 2535 1227 2535 1233 2535 1235 2536 1236 2536 1221 2536 1237 2537 1221 2537 1236 2537 1224 2538 1235 2538 1221 2538 1233 2539 1221 2539 1237 2539 1235 2540 1238 2540 1236 2540 1239 2541 1236 2541 1238 2541 1237 2542 1236 2542 1239 2542 1235 2543 1240 2543 1238 2543 1241 2544 1238 2544 1240 2544 1239 2545 1238 2545 1241 2545 1242 2546 1240 2546 1235 2546 1241 2547 1240 2547 1242 2547 1243 2548 1244 2548 1235 2548 1210 2549 1235 2549 1244 2549 1245 2550 1243 2550 1235 2550 1246 2551 1245 2551 1235 2551 1224 2552 1246 2552 1235 2552 1210 2553 1209 2553 1235 2553 1247 2554 1235 2554 1209 2554 1242 2555 1235 2555 1247 2555 1248 2556 1244 2556 1243 2556 1248 2557 1210 2557 1244 2557 1249 2558 1243 2558 1245 2558 1248 2559 1243 2559 1249 2559 1250 2560 1245 2560 1246 2560 1249 2561 1245 2561 1250 2561 1251 2562 1246 2562 1224 2562 1250 2563 1246 2563 1251 2563 1225 2564 1252 2564 1224 2564 1253 2565 1224 2565 1252 2565 1251 2566 1224 2566 1253 2566 1254 2567 1255 2567 1252 2567 1256 2568 1252 2568 1255 2568 1257 2569 1254 2569 1252 2569 1225 2570 1257 2570 1252 2570 1253 2571 1252 2571 1256 2571 1258 2572 1255 2572 1254 2572 1259 2573 1255 2573 1258 2573 1260 2574 1255 2574 1259 2574 1256 2575 1255 2575 1260 2575 1261 2576 1254 2576 1257 2576 1261 2577 1258 2577 1254 2577 1262 2578 1257 2578 1225 2578 1261 2579 1257 2579 1262 2579 1226 2580 1263 2580 1225 2580 1264 2581 1225 2581 1263 2581 1262 2582 1225 2582 1264 2582 1265 2583 1266 2583 1263 2583 1267 2584 1263 2584 1266 2584 1226 2585 1265 2585 1263 2585 1264 2586 1263 2586 1267 2586 1268 2587 1266 2587 1265 2587 1267 2588 1266 2588 1268 2588 1269 2589 1265 2589 1226 2589 1268 2590 1265 2590 1269 2590 1215 2591 1270 2591 1226 2591 1271 2592 1226 2592 1270 2592 1269 2593 1226 2593 1271 2593 1215 2594 1272 2594 1270 2594 1273 2595 1270 2595 1272 2595 1271 2596 1270 2596 1273 2596 1215 2597 1274 2597 1272 2597 1275 2598 1272 2598 1274 2598 1273 2599 1272 2599 1275 2599 1215 2600 1276 2600 1274 2600 1277 2601 1274 2601 1276 2601 1277 2602 1275 2602 1274 2602 1278 2603 1276 2603 1215 2603 1277 2604 1276 2604 1278 2604 1279 2605 1280 2605 1215 2605 1281 2606 1215 2606 1280 2606 1282 2607 1279 2607 1215 2607 1283 2608 1282 2608 1215 2608 1284 2609 1283 2609 1215 2609 1285 2610 1284 2610 1215 2610 1286 2611 1285 2611 1215 2611 1219 2612 1286 2612 1215 2612 1287 2613 1215 2613 1281 2613 1288 2614 1215 2614 1287 2614 1278 2615 1215 2615 1288 2615 1289 2616 1280 2616 1279 2616 1290 2617 1281 2617 1280 2617 1290 2618 1280 2618 1289 2618 1291 2619 1279 2619 1282 2619 1289 2620 1279 2620 1291 2620 1292 2621 1282 2621 1283 2621 1291 2622 1282 2622 1292 2622 1293 2623 1283 2623 1284 2623 1292 2624 1283 2624 1293 2624 1294 2625 1284 2625 1285 2625 1294 2626 1293 2626 1284 2626 1295 2627 1285 2627 1286 2627 1295 2628 1294 2628 1285 2628 1296 2629 1286 2629 1219 2629 1295 2630 1286 2630 1296 2630 1220 2631 1296 2631 1219 2631 1297 2632 1298 2632 1299 2632 1300 2633 1299 2633 1298 2633 1301 2634 1297 2634 1299 2634 1301 2635 1299 2635 1300 2635 1302 2636 1303 2636 1298 2636 1287 2637 1298 2637 1303 2637 1304 2638 1302 2638 1298 2638 1305 2639 1304 2639 1298 2639 1306 2640 1305 2640 1298 2640 1297 2641 1306 2641 1298 2641 1287 2642 1281 2642 1298 2642 1307 2643 1298 2643 1281 2643 1300 2644 1298 2644 1307 2644 1308 2645 1303 2645 1302 2645 1308 2646 1287 2646 1303 2646 1309 2647 1302 2647 1304 2647 1308 2648 1302 2648 1309 2648 1310 2649 1304 2649 1305 2649 1309 2650 1304 2650 1310 2650 1311 2651 1305 2651 1306 2651 1310 2652 1305 2652 1311 2652 1312 2653 1306 2653 1297 2653 1311 2654 1306 2654 1312 2654 1301 2655 1312 2655 1297 2655 1313 2656 1314 2656 1315 2656 1316 2657 1315 2657 1314 2657 1317 2658 1313 2658 1315 2658 1317 2659 1315 2659 1316 2659 1313 2660 1318 2660 1314 2660 1319 2661 1314 2661 1318 2661 1319 2662 1316 2662 1314 2662 1320 2663 1321 2663 1318 2663 1322 2664 1318 2664 1321 2664 1313 2665 1320 2665 1318 2665 1322 2666 1319 2666 1318 2666 1323 2667 1324 2667 1321 2667 1325 2668 1321 2668 1324 2668 1326 2669 1323 2669 1321 2669 1327 2670 1321 2670 1320 2670 1328 2671 1326 2671 1321 2671 1329 2672 1328 2672 1321 2672 1327 2673 1329 2673 1321 2673 1322 2674 1321 2674 1325 2674 1259 2675 1324 2675 1323 2675 1259 2676 1258 2676 1324 2676 1330 2677 1324 2677 1258 2677 1325 2678 1324 2678 1330 2678 1331 2679 1320 2679 1323 2679 1332 2680 1323 2680 1320 2680 1333 2681 1331 2681 1323 2681 1326 2682 1333 2682 1323 2682 1332 2683 1259 2683 1323 2683 1334 2684 1320 2684 1313 2684 1327 2685 1320 2685 1331 2685 1332 2686 1320 2686 1334 2686 1317 2687 1334 2687 1313 2687 1335 2688 1331 2688 1333 2688 1336 2689 1327 2689 1331 2689 1336 2690 1331 2690 1335 2690 1337 2691 1333 2691 1326 2691 1337 2692 1335 2692 1333 2692 1338 2693 1326 2693 1328 2693 1338 2694 1337 2694 1326 2694 1339 2695 1328 2695 1329 2695 1339 2696 1338 2696 1328 2696 1340 2697 1329 2697 1327 2697 1340 2698 1339 2698 1329 2698 1336 2699 1340 2699 1327 2699 1341 2700 1342 2700 1343 2700 1344 2701 1343 2701 1342 2701 1345 2702 1341 2702 1343 2702 1345 2703 1343 2703 1344 2703 1341 2704 1346 2704 1342 2704 1347 2705 1342 2705 1346 2705 1347 2706 1344 2706 1342 2706 1348 2707 1349 2707 1346 2707 1350 2708 1346 2708 1349 2708 1341 2709 1348 2709 1346 2709 1350 2710 1347 2710 1346 2710 1351 2711 1352 2711 1349 2711 1353 2712 1349 2712 1352 2712 1354 2713 1351 2713 1349 2713 1355 2714 1349 2714 1348 2714 1356 2715 1354 2715 1349 2715 1357 2716 1356 2716 1349 2716 1355 2717 1357 2717 1349 2717 1350 2718 1349 2718 1353 2718 1358 2719 1359 2719 1352 2719 1360 2720 1352 2720 1359 2720 1351 2721 1358 2721 1352 2721 1360 2722 1353 2722 1352 2722 1361 2723 1362 2723 1359 2723 1363 2724 1359 2724 1362 2724 1364 2725 1361 2725 1359 2725 1365 2726 1364 2726 1359 2726 1358 2727 1365 2727 1359 2727 1363 2728 1360 2728 1359 2728 1366 2729 1362 2729 1361 2729 1363 2730 1362 2730 1366 2730 1367 2731 1368 2731 1361 2731 1369 2732 1361 2732 1368 2732 1364 2733 1367 2733 1361 2733 1369 2734 1366 2734 1361 2734 1370 2735 1371 2735 1368 2735 1372 2736 1368 2736 1371 2736 1367 2737 1370 2737 1368 2737 1372 2738 1369 2738 1368 2738 1373 2739 1374 2739 1371 2739 1375 2740 1371 2740 1374 2740 1370 2741 1373 2741 1371 2741 1372 2742 1371 2742 1375 2742 1231 2743 1374 2743 1373 2743 1230 2744 1374 2744 1231 2744 1376 2745 1374 2745 1230 2745 1375 2746 1374 2746 1376 2746 1377 2747 1373 2747 1370 2747 1377 2748 1231 2748 1373 2748 1378 2749 1370 2749 1367 2749 1377 2750 1370 2750 1378 2750 1379 2751 1367 2751 1364 2751 1378 2752 1367 2752 1379 2752 1380 2753 1364 2753 1365 2753 1379 2754 1364 2754 1380 2754 1381 2755 1365 2755 1358 2755 1380 2756 1365 2756 1381 2756 1382 2757 1358 2757 1351 2757 1382 2758 1381 2758 1358 2758 1383 2759 1348 2759 1351 2759 1384 2760 1351 2760 1348 2760 1385 2761 1383 2761 1351 2761 1354 2762 1385 2762 1351 2762 1382 2763 1351 2763 1384 2763 1386 2764 1348 2764 1341 2764 1355 2765 1348 2765 1383 2765 1384 2766 1348 2766 1386 2766 1345 2767 1386 2767 1341 2767 1387 2768 1383 2768 1385 2768 1388 2769 1355 2769 1383 2769 1388 2770 1383 2770 1387 2770 1389 2771 1385 2771 1354 2771 1389 2772 1387 2772 1385 2772 1390 2773 1354 2773 1356 2773 1390 2774 1389 2774 1354 2774 1391 2775 1356 2775 1357 2775 1391 2776 1390 2776 1356 2776 1392 2777 1357 2777 1355 2777 1392 2778 1391 2778 1357 2778 1388 2779 1392 2779 1355 2779 1393 2780 1232 2780 1231 2780 1393 2781 1231 2781 1377 2781 1234 2782 1376 2782 1230 2782 1394 2783 1258 2783 1261 2783 1394 2784 1330 2784 1258 2784 1395 2785 1260 2785 1259 2785 1395 2786 1259 2786 1332 2786 1290 2787 1307 2787 1281 2787 1396 2788 1288 2788 1287 2788 1396 2789 1287 2789 1308 2789 1213 2790 1247 2790 1209 2790 1397 2791 1211 2791 1210 2791 1397 2792 1210 2792 1248 2792 1212 2793 1199 2793 1203 2793 1201 2794 1199 2794 1212 2794 1205 2795 1212 2795 1203 2795 1289 2796 1273 2796 1275 2796 1277 2797 1289 2797 1275 2797 1271 2798 1273 2798 1289 2798 1289 2799 1293 2799 1294 2799 1289 2800 1292 2800 1293 2800 1289 2801 1294 2801 1295 2801 1308 2802 1311 2802 1312 2802 1301 2803 1308 2803 1312 2803 1308 2804 1310 2804 1311 2804 1322 2805 1316 2805 1319 2805 1317 2806 1316 2806 1322 2806 1334 2807 1335 2807 1337 2807 1334 2808 1336 2808 1335 2808 1330 2809 1337 2809 1338 2809 1330 2810 1334 2810 1337 2810 1330 2811 1338 2811 1339 2811 1325 2812 1339 2812 1340 2812 1325 2813 1330 2813 1339 2813 1334 2814 1340 2814 1336 2814 1325 2815 1340 2815 1334 2815 1382 2816 1380 2816 1381 2816 1382 2817 1369 2817 1380 2817 1372 2818 1380 2818 1369 2818 1372 2819 1379 2819 1380 2819 1360 2820 1384 2820 1386 2820 1392 2821 1386 2821 1353 2821 1345 2822 1353 2822 1386 2822 1389 2823 1360 2823 1386 2823 1389 2824 1386 2824 1387 2824 1388 2825 1387 2825 1386 2825 1388 2826 1386 2826 1392 2826 1363 2827 1384 2827 1360 2827 1363 2828 1382 2828 1384 2828 1350 2829 1344 2829 1347 2829 1345 2830 1344 2830 1350 2830 1391 2831 1353 2831 1360 2831 1392 2832 1353 2832 1391 2832 1345 2833 1350 2833 1353 2833 1390 2834 1360 2834 1389 2834 1391 2835 1360 2835 1390 2835 1382 2836 1366 2836 1369 2836 1363 2837 1366 2837 1382 2837 1201 2838 1212 2838 1214 2838 1206 2839 1211 2839 1212 2839 1397 2840 1212 2840 1211 2840 1205 2841 1206 2841 1212 2841 1213 2842 1212 2842 1397 2842 1218 2843 1295 2843 1296 2843 1220 2844 1218 2844 1296 2844 1253 2845 1289 2845 1295 2845 1223 2846 1253 2846 1295 2846 1218 2847 1223 2847 1295 2847 1289 2848 1291 2848 1292 2848 1278 2849 1288 2849 1289 2849 1396 2850 1289 2850 1288 2850 1277 2851 1278 2851 1289 2851 1269 2852 1271 2852 1289 2852 1268 2853 1269 2853 1289 2853 1267 2854 1268 2854 1289 2854 1264 2855 1267 2855 1289 2855 1256 2856 1264 2856 1289 2856 1253 2857 1256 2857 1289 2857 1290 2858 1289 2858 1396 2858 1260 2859 1262 2859 1264 2859 1256 2860 1260 2860 1264 2860 1260 2861 1261 2861 1262 2861 1395 2862 1261 2862 1260 2862 1394 2863 1261 2863 1395 2863 1248 2864 1251 2864 1253 2864 1223 2865 1248 2865 1253 2865 1248 2866 1250 2866 1251 2866 1248 2867 1249 2867 1250 2867 1242 2868 1247 2868 1248 2868 1213 2869 1248 2869 1247 2869 1241 2870 1242 2870 1248 2870 1239 2871 1241 2871 1248 2871 1237 2872 1239 2872 1248 2872 1229 2873 1237 2873 1248 2873 1223 2874 1229 2874 1248 2874 1213 2875 1397 2875 1248 2875 1232 2876 1233 2876 1237 2876 1229 2877 1232 2877 1237 2877 1393 2878 1233 2878 1232 2878 1393 2879 1234 2879 1233 2879 1308 2880 1309 2880 1310 2880 1300 2881 1307 2881 1308 2881 1290 2882 1308 2882 1307 2882 1301 2883 1300 2883 1308 2883 1290 2884 1396 2884 1308 2884 1330 2885 1332 2885 1334 2885 1317 2886 1325 2886 1334 2886 1394 2887 1332 2887 1330 2887 1394 2888 1395 2888 1332 2888 1317 2889 1322 2889 1325 2889 1375 2890 1378 2890 1379 2890 1372 2891 1375 2891 1379 2891 1376 2892 1377 2892 1378 2892 1375 2893 1376 2893 1378 2893 1234 2894 1377 2894 1376 2894 1393 2895 1377 2895 1234 2895 1398 2896 1399 2896 1400 2896 1401 2897 1400 2897 1399 2897 1402 2898 1400 2898 1403 2898 1404 2899 1403 2899 1400 2899 1402 2900 1398 2900 1400 2900 1404 2901 1400 2901 1401 2901 1398 2902 1405 2902 1399 2902 1406 2903 1399 2903 1405 2903 1401 2904 1399 2904 1406 2904 1407 2905 1408 2905 1405 2905 1409 2906 1405 2906 1408 2906 1410 2907 1405 2907 1398 2907 1411 2908 1407 2908 1405 2908 1410 2909 1411 2909 1405 2909 1406 2910 1405 2910 1409 2910 1412 2911 1413 2911 1408 2911 1414 2912 1408 2912 1413 2912 1407 2913 1412 2913 1408 2913 1409 2914 1408 2914 1414 2914 1415 2915 1403 2915 1413 2915 1416 2916 1413 2916 1403 2916 1412 2917 1415 2917 1413 2917 1416 2918 1414 2918 1413 2918 1417 2919 1402 2919 1403 2919 1415 2920 1417 2920 1403 2920 1416 2921 1403 2921 1404 2921 1418 2922 1419 2922 1420 2922 1421 2923 1420 2923 1419 2923 1422 2924 1420 2924 1423 2924 1424 2925 1423 2925 1420 2925 1425 2926 1418 2926 1420 2926 1426 2927 1425 2927 1420 2927 1422 2928 1426 2928 1420 2928 1424 2929 1420 2929 1421 2929 1418 2930 1427 2930 1419 2930 1428 2931 1419 2931 1427 2931 1421 2932 1419 2932 1428 2932 1429 2933 1430 2933 1427 2933 1431 2934 1427 2934 1430 2934 1418 2935 1429 2935 1427 2935 1428 2936 1427 2936 1431 2936 1432 2937 1433 2937 1430 2937 1434 2938 1430 2938 1433 2938 1435 2939 1430 2939 1429 2939 1435 2940 1432 2940 1430 2940 1431 2941 1430 2941 1434 2941 1436 2942 1423 2942 1433 2942 1437 2943 1433 2943 1423 2943 1438 2944 1436 2944 1433 2944 1432 2945 1438 2945 1433 2945 1437 2946 1434 2946 1433 2946 1439 2947 1422 2947 1423 2947 1436 2948 1439 2948 1423 2948 1437 2949 1423 2949 1424 2949 1440 2950 1441 2950 1442 2950 1443 2951 1442 2951 1441 2951 1444 2952 1442 2952 1445 2952 1446 2953 1445 2953 1442 2953 1444 2954 1440 2954 1442 2954 1446 2955 1442 2955 1443 2955 1440 2956 1447 2956 1441 2956 1448 2957 1441 2957 1447 2957 1443 2958 1441 2958 1448 2958 1449 2959 1450 2959 1447 2959 1451 2960 1447 2960 1450 2960 1452 2961 1447 2961 1440 2961 1453 2962 1449 2962 1447 2962 1452 2963 1453 2963 1447 2963 1448 2964 1447 2964 1451 2964 1454 2965 1455 2965 1450 2965 1456 2966 1450 2966 1455 2966 1449 2967 1454 2967 1450 2967 1451 2968 1450 2968 1456 2968 1457 2969 1445 2969 1455 2969 1458 2970 1455 2970 1445 2970 1454 2971 1457 2971 1455 2971 1458 2972 1456 2972 1455 2972 1429 2973 1444 2973 1445 2973 1457 2974 1429 2974 1445 2974 1458 2975 1445 2975 1446 2975 1459 2976 1460 2976 1461 2976 1462 2977 1461 2977 1460 2977 1463 2978 1461 2978 1464 2978 1465 2979 1464 2979 1461 2979 1466 2980 1459 2980 1461 2980 1467 2981 1466 2981 1461 2981 1463 2982 1467 2982 1461 2982 1465 2983 1461 2983 1462 2983 1459 2984 1468 2984 1460 2984 1469 2985 1460 2985 1468 2985 1462 2986 1460 2986 1469 2986 1417 2987 1470 2987 1468 2987 1471 2988 1468 2988 1470 2988 1459 2989 1417 2989 1468 2989 1469 2990 1468 2990 1471 2990 1472 2991 1473 2991 1470 2991 1474 2992 1470 2992 1473 2992 1475 2993 1470 2993 1417 2993 1475 2994 1472 2994 1470 2994 1471 2995 1470 2995 1474 2995 1476 2996 1464 2996 1473 2996 1477 2997 1473 2997 1464 2997 1478 2998 1476 2998 1473 2998 1472 2999 1478 2999 1473 2999 1477 3000 1474 3000 1473 3000 1479 3001 1463 3001 1464 3001 1476 3002 1479 3002 1464 3002 1477 3003 1464 3003 1465 3003 1480 3004 1398 3004 1481 3004 1482 3005 1481 3005 1398 3005 1483 3006 1481 3006 1425 3006 1484 3007 1425 3007 1481 3007 1485 3008 1481 3008 1483 3008 1486 3009 1480 3009 1481 3009 1487 3010 1486 3010 1481 3010 1488 3011 1487 3011 1481 3011 1489 3012 1488 3012 1481 3012 1485 3013 1489 3013 1481 3013 1484 3014 1481 3014 1482 3014 1490 3015 1398 3015 1402 3015 1480 3016 1410 3016 1398 3016 1482 3017 1398 3017 1490 3017 1491 3018 1402 3018 1417 3018 1490 3019 1402 3019 1491 3019 1492 3020 1417 3020 1459 3020 1493 3021 1475 3021 1417 3021 1415 3022 1493 3022 1417 3022 1491 3023 1417 3023 1492 3023 1494 3024 1459 3024 1466 3024 1492 3025 1459 3025 1494 3025 1467 3026 1495 3026 1466 3026 1496 3027 1466 3027 1495 3027 1494 3028 1466 3028 1496 3028 1497 3029 1440 3029 1495 3029 1498 3030 1495 3030 1440 3030 1467 3031 1497 3031 1495 3031 1496 3032 1495 3032 1498 3032 1499 3033 1440 3033 1444 3033 1497 3034 1452 3034 1440 3034 1499 3035 1498 3035 1440 3035 1500 3036 1444 3036 1429 3036 1499 3037 1444 3037 1500 3037 1501 3038 1429 3038 1418 3038 1502 3039 1435 3039 1429 3039 1503 3040 1502 3040 1429 3040 1457 3041 1503 3041 1429 3041 1500 3042 1429 3042 1501 3042 1504 3043 1418 3043 1425 3043 1501 3044 1418 3044 1504 3044 1505 3045 1483 3045 1425 3045 1426 3046 1505 3046 1425 3046 1504 3047 1425 3047 1484 3047 1506 3048 1507 3048 1508 3048 1509 3049 1508 3049 1507 3049 1510 3050 1506 3050 1508 3050 1509 3051 1511 3051 1508 3051 1510 3052 1508 3052 1511 3052 1485 3053 1483 3053 1507 3053 1509 3054 1507 3054 1483 3054 1506 3055 1485 3055 1507 3055 1512 3056 1483 3056 1505 3056 1513 3057 1483 3057 1512 3057 1514 3058 1509 3058 1483 3058 1514 3059 1483 3059 1513 3059 1515 3060 1505 3060 1426 3060 1516 3061 1505 3061 1515 3061 1512 3062 1505 3062 1516 3062 1517 3063 1426 3063 1422 3063 1517 3064 1515 3064 1426 3064 1518 3065 1422 3065 1439 3065 1517 3066 1422 3066 1518 3066 1519 3067 1439 3067 1436 3067 1518 3068 1439 3068 1519 3068 1520 3069 1436 3069 1438 3069 1519 3070 1436 3070 1520 3070 1521 3071 1438 3071 1432 3071 1520 3072 1438 3072 1521 3072 1522 3073 1432 3073 1435 3073 1521 3074 1432 3074 1522 3074 1502 3075 1523 3075 1435 3075 1524 3076 1435 3076 1523 3076 1522 3077 1435 3077 1524 3077 1525 3078 1523 3078 1502 3078 1524 3079 1523 3079 1525 3079 1503 3080 1526 3080 1502 3080 1527 3081 1502 3081 1526 3081 1525 3082 1502 3082 1527 3082 1528 3083 1529 3083 1526 3083 1530 3084 1526 3084 1529 3084 1531 3085 1528 3085 1526 3085 1503 3086 1531 3086 1526 3086 1527 3087 1526 3087 1530 3087 1532 3088 1533 3088 1529 3088 1534 3089 1529 3089 1533 3089 1528 3090 1532 3090 1529 3090 1530 3091 1529 3091 1534 3091 1532 3092 1535 3092 1533 3092 1536 3093 1533 3093 1535 3093 1534 3094 1533 3094 1536 3094 1532 3095 1537 3095 1535 3095 1538 3096 1535 3096 1537 3096 1536 3097 1535 3097 1538 3097 1539 3098 1540 3098 1537 3098 1541 3099 1537 3099 1540 3099 1532 3100 1539 3100 1537 3100 1538 3101 1537 3101 1541 3101 1539 3102 1542 3102 1540 3102 1543 3103 1540 3103 1542 3103 1541 3104 1540 3104 1543 3104 1544 3105 1542 3105 1539 3105 1543 3106 1542 3106 1544 3106 1545 3107 1539 3107 1532 3107 1544 3108 1539 3108 1545 3108 1546 3109 1532 3109 1528 3109 1545 3110 1532 3110 1546 3110 1547 3111 1528 3111 1531 3111 1546 3112 1528 3112 1547 3112 1548 3113 1531 3113 1503 3113 1547 3114 1531 3114 1548 3114 1549 3115 1503 3115 1457 3115 1550 3116 1503 3116 1549 3116 1548 3117 1503 3117 1550 3117 1549 3118 1457 3118 1454 3118 1551 3119 1454 3119 1449 3119 1549 3120 1454 3120 1551 3120 1552 3121 1449 3121 1453 3121 1551 3122 1449 3122 1552 3122 1553 3123 1453 3123 1452 3123 1552 3124 1453 3124 1553 3124 1554 3125 1452 3125 1497 3125 1553 3126 1452 3126 1554 3126 1555 3127 1497 3127 1467 3127 1556 3128 1497 3128 1557 3128 1558 3129 1557 3129 1497 3129 1554 3130 1497 3130 1556 3130 1559 3131 1497 3131 1555 3131 1560 3132 1497 3132 1561 3132 1559 3133 1561 3133 1497 3133 1558 3134 1497 3134 1560 3134 1562 3135 1467 3135 1463 3135 1563 3136 1467 3136 1564 3136 1565 3137 1564 3137 1467 3137 1555 3138 1467 3138 1563 3138 1562 3139 1566 3139 1467 3139 1565 3140 1467 3140 1566 3140 1567 3141 1463 3141 1479 3141 1568 3142 1463 3142 1567 3142 1569 3143 1463 3143 1568 3143 1562 3144 1463 3144 1569 3144 1570 3145 1479 3145 1476 3145 1567 3146 1479 3146 1570 3146 1571 3147 1476 3147 1478 3147 1570 3148 1476 3148 1571 3148 1572 3149 1478 3149 1472 3149 1571 3150 1478 3150 1572 3150 1573 3151 1472 3151 1475 3151 1572 3152 1472 3152 1573 3152 1574 3153 1575 3153 1475 3153 1576 3154 1475 3154 1575 3154 1577 3155 1574 3155 1475 3155 1493 3156 1577 3156 1475 3156 1573 3157 1475 3157 1576 3157 1578 3158 1575 3158 1574 3158 1576 3159 1575 3159 1578 3159 1579 3160 1580 3160 1574 3160 1581 3161 1574 3161 1580 3161 1577 3162 1579 3162 1574 3162 1578 3163 1574 3163 1581 3163 1582 3164 1583 3164 1580 3164 1584 3165 1580 3165 1583 3165 1579 3166 1582 3166 1580 3166 1581 3167 1580 3167 1584 3167 1585 3168 1583 3168 1582 3168 1586 3169 1584 3169 1583 3169 1586 3170 1583 3170 1585 3170 1585 3171 1582 3171 1579 3171 1587 3172 1579 3172 1577 3172 1585 3173 1579 3173 1587 3173 1493 3174 1588 3174 1577 3174 1589 3175 1577 3175 1588 3175 1587 3176 1577 3176 1589 3176 1590 3177 1588 3177 1493 3177 1589 3178 1588 3178 1590 3178 1591 3179 1493 3179 1415 3179 1590 3180 1493 3180 1591 3180 1592 3181 1415 3181 1412 3181 1591 3182 1415 3182 1592 3182 1593 3183 1412 3183 1407 3183 1592 3184 1412 3184 1593 3184 1594 3185 1407 3185 1411 3185 1593 3186 1407 3186 1594 3186 1595 3187 1411 3187 1410 3187 1594 3188 1411 3188 1595 3188 1596 3189 1410 3189 1480 3189 1595 3190 1410 3190 1596 3190 1597 3191 1480 3191 1486 3191 1598 3192 1480 3192 1597 3192 1596 3193 1480 3193 1598 3193 1599 3194 1486 3194 1487 3194 1600 3195 1597 3195 1486 3195 1601 3196 1486 3196 1599 3196 1602 3197 1486 3197 1601 3197 1603 3198 1486 3198 1602 3198 1604 3199 1486 3199 1605 3199 1603 3200 1605 3200 1486 3200 1600 3201 1486 3201 1604 3201 1606 3202 1487 3202 1488 3202 1599 3203 1487 3203 1606 3203 1607 3204 1488 3204 1489 3204 1608 3205 1488 3205 1609 3205 1607 3206 1609 3206 1488 3206 1606 3207 1488 3207 1608 3207 1610 3208 1489 3208 1485 3208 1610 3209 1607 3209 1489 3209 1610 3210 1485 3210 1506 3210 1510 3211 1610 3211 1506 3211 1611 3212 1581 3212 1584 3212 1612 3213 1611 3213 1584 3213 1586 3214 1612 3214 1584 3214 1576 3215 1578 3215 1581 3215 1613 3216 1576 3216 1581 3216 1613 3217 1581 3217 1611 3217 1614 3218 1573 3218 1576 3218 1613 3219 1614 3219 1576 3219 1614 3220 1572 3220 1573 3220 1615 3221 1571 3221 1572 3221 1616 3222 1615 3222 1572 3222 1614 3223 1616 3223 1572 3223 1617 3224 1570 3224 1571 3224 1615 3225 1617 3225 1571 3225 1618 3226 1567 3226 1570 3226 1617 3227 1618 3227 1570 3227 1618 3228 1568 3228 1567 3228 1618 3229 1569 3229 1568 3229 1619 3230 1569 3230 1618 3230 1562 3231 1569 3231 1619 3231 1617 3232 1611 3232 1618 3232 1620 3233 1618 3233 1611 3233 1620 3234 1621 3234 1618 3234 1619 3235 1618 3235 1621 3235 1622 3236 1611 3236 1612 3236 1623 3237 1611 3237 1617 3237 1623 3238 1613 3238 1611 3238 1620 3239 1611 3239 1622 3239 1586 3240 1624 3240 1612 3240 1625 3241 1612 3241 1624 3241 1622 3242 1612 3242 1625 3242 1626 3243 1627 3243 1624 3243 1628 3244 1624 3244 1627 3244 1589 3245 1592 3245 1624 3245 1629 3246 1624 3246 1592 3246 1587 3247 1589 3247 1624 3247 1586 3248 1587 3248 1624 3248 1630 3249 1626 3249 1624 3249 1629 3250 1630 3250 1624 3250 1625 3251 1624 3251 1628 3251 1597 3252 1631 3252 1627 3252 1632 3253 1627 3253 1631 3253 1598 3254 1597 3254 1627 3254 1633 3255 1598 3255 1627 3255 1633 3256 1627 3256 1626 3256 1628 3257 1627 3257 1632 3257 1600 3258 1631 3258 1597 3258 1634 3259 1632 3259 1631 3259 1600 3260 1634 3260 1631 3260 1633 3261 1596 3261 1598 3261 1633 3262 1595 3262 1596 3262 1635 3263 1594 3263 1595 3263 1633 3264 1635 3264 1595 3264 1636 3265 1593 3265 1594 3265 1635 3266 1636 3266 1594 3266 1629 3267 1592 3267 1593 3267 1636 3268 1629 3268 1593 3268 1589 3269 1591 3269 1592 3269 1589 3270 1590 3270 1591 3270 1586 3271 1585 3271 1587 3271 1401 3272 1626 3272 1630 3272 1406 3273 1633 3273 1626 3273 1401 3274 1406 3274 1626 3274 1404 3275 1630 3275 1629 3275 1404 3276 1401 3276 1630 3276 1416 3277 1629 3277 1636 3277 1416 3278 1404 3278 1629 3278 1414 3279 1636 3279 1635 3279 1416 3280 1636 3280 1414 3280 1409 3281 1635 3281 1633 3281 1409 3282 1414 3282 1635 3282 1406 3283 1409 3283 1633 3283 1462 3284 1617 3284 1615 3284 1469 3285 1623 3285 1617 3285 1462 3286 1469 3286 1617 3286 1465 3287 1615 3287 1616 3287 1465 3288 1462 3288 1615 3288 1477 3289 1616 3289 1614 3289 1477 3290 1465 3290 1616 3290 1474 3291 1614 3291 1613 3291 1477 3292 1614 3292 1474 3292 1471 3293 1613 3293 1623 3293 1471 3294 1474 3294 1613 3294 1469 3295 1471 3295 1623 3295 1520 3296 1637 3296 1638 3296 1421 3297 1638 3297 1637 3297 1639 3298 1638 3298 1640 3298 1428 3299 1640 3299 1638 3299 1639 3300 1641 3300 1638 3300 1519 3301 1638 3301 1641 3301 1519 3302 1520 3302 1638 3302 1421 3303 1428 3303 1638 3303 1521 3304 1642 3304 1637 3304 1424 3305 1637 3305 1642 3305 1520 3306 1521 3306 1637 3306 1424 3307 1421 3307 1637 3307 1521 3308 1643 3308 1642 3308 1437 3309 1642 3309 1643 3309 1437 3310 1424 3310 1642 3310 1524 3311 1644 3311 1643 3311 1434 3312 1643 3312 1644 3312 1522 3313 1524 3313 1643 3313 1521 3314 1522 3314 1643 3314 1437 3315 1643 3315 1434 3315 1639 3316 1640 3316 1644 3316 1431 3317 1644 3317 1640 3317 1527 3318 1639 3318 1644 3318 1524 3319 1527 3319 1644 3319 1431 3320 1434 3320 1644 3320 1428 3321 1431 3321 1640 3321 1645 3322 1646 3322 1647 3322 1443 3323 1647 3323 1646 3323 1648 3324 1647 3324 1649 3324 1448 3325 1649 3325 1647 3325 1648 3326 1645 3326 1647 3326 1443 3327 1448 3327 1647 3327 1645 3328 1650 3328 1646 3328 1446 3329 1646 3329 1650 3329 1446 3330 1443 3330 1646 3330 1551 3331 1651 3331 1650 3331 1458 3332 1650 3332 1651 3332 1549 3333 1650 3333 1645 3333 1549 3334 1551 3334 1650 3334 1458 3335 1446 3335 1650 3335 1552 3336 1652 3336 1651 3336 1456 3337 1651 3337 1652 3337 1551 3338 1552 3338 1651 3338 1458 3339 1651 3339 1456 3339 1553 3340 1649 3340 1652 3340 1451 3341 1652 3341 1649 3341 1552 3342 1553 3342 1652 3342 1451 3343 1456 3343 1652 3343 1556 3344 1648 3344 1649 3344 1554 3345 1556 3345 1649 3345 1553 3346 1554 3346 1649 3346 1448 3347 1451 3347 1649 3347 1641 3348 1516 3348 1515 3348 1517 3349 1641 3349 1515 3349 1641 3350 1512 3350 1516 3350 1653 3351 1512 3351 1641 3351 1513 3352 1512 3352 1653 3352 1654 3353 1641 3353 1639 3353 1518 3354 1519 3354 1641 3354 1517 3355 1518 3355 1641 3355 1655 3356 1641 3356 1654 3356 1656 3357 1641 3357 1655 3357 1653 3358 1641 3358 1656 3358 1530 3359 1657 3359 1639 3359 1658 3360 1639 3360 1657 3360 1527 3361 1530 3361 1639 3361 1654 3362 1639 3362 1658 3362 1534 3363 1645 3363 1657 3363 1659 3364 1657 3364 1645 3364 1530 3365 1534 3365 1657 3365 1658 3366 1657 3366 1659 3366 1660 3367 1645 3367 1648 3367 1550 3368 1549 3368 1645 3368 1534 3369 1550 3369 1645 3369 1659 3370 1645 3370 1660 3370 1557 3371 1661 3371 1648 3371 1662 3372 1648 3372 1661 3372 1556 3373 1557 3373 1648 3373 1660 3374 1648 3374 1662 3374 1558 3375 1661 3375 1557 3375 1663 3376 1662 3376 1661 3376 1558 3377 1663 3377 1661 3377 1534 3378 1548 3378 1550 3378 1534 3379 1547 3379 1548 3379 1541 3380 1546 3380 1547 3380 1538 3381 1541 3381 1547 3381 1536 3382 1538 3382 1547 3382 1534 3383 1536 3383 1547 3383 1543 3384 1545 3384 1546 3384 1541 3385 1543 3385 1546 3385 1543 3386 1544 3386 1545 3386 1524 3387 1525 3387 1527 3387 1664 3388 1496 3388 1498 3388 1665 3389 1664 3389 1498 3389 1499 3390 1665 3390 1498 3390 1666 3391 1494 3391 1496 3391 1664 3392 1666 3392 1496 3392 1667 3393 1492 3393 1494 3393 1666 3394 1667 3394 1494 3394 1668 3395 1491 3395 1492 3395 1667 3396 1668 3396 1492 3396 1669 3397 1490 3397 1491 3397 1668 3398 1669 3398 1491 3398 1670 3399 1482 3399 1490 3399 1669 3400 1670 3400 1490 3400 1671 3401 1482 3401 1670 3401 1671 3402 1484 3402 1482 3402 1655 3403 1670 3403 1669 3403 1654 3404 1671 3404 1670 3404 1655 3405 1654 3405 1670 3405 1632 3406 1669 3406 1668 3406 1632 3407 1655 3407 1669 3407 1628 3408 1668 3408 1667 3408 1628 3409 1632 3409 1668 3409 1622 3410 1667 3410 1666 3410 1625 3411 1628 3411 1667 3411 1622 3412 1625 3412 1667 3412 1620 3413 1666 3413 1664 3413 1620 3414 1622 3414 1666 3414 1620 3415 1664 3415 1665 3415 1672 3416 1665 3416 1499 3416 1621 3417 1665 3417 1672 3417 1620 3418 1665 3418 1621 3418 1673 3419 1504 3419 1484 3419 1671 3420 1673 3420 1484 3420 1674 3421 1501 3421 1504 3421 1673 3422 1674 3422 1504 3422 1675 3423 1500 3423 1501 3423 1674 3424 1675 3424 1501 3424 1672 3425 1499 3425 1500 3425 1675 3426 1672 3426 1500 3426 1662 3427 1672 3427 1675 3427 1662 3428 1621 3428 1672 3428 1660 3429 1675 3429 1674 3429 1660 3430 1662 3430 1675 3430 1658 3431 1674 3431 1673 3431 1659 3432 1660 3432 1674 3432 1658 3433 1659 3433 1674 3433 1654 3434 1673 3434 1671 3434 1654 3435 1658 3435 1673 3435 1676 3436 1621 3436 1662 3436 1677 3437 1619 3437 1621 3437 1678 3438 1677 3438 1621 3438 1679 3439 1678 3439 1621 3439 1680 3440 1679 3440 1621 3440 1676 3441 1680 3441 1621 3441 1681 3442 1662 3442 1682 3442 1663 3443 1682 3443 1662 3443 1676 3444 1662 3444 1681 3444 1683 3445 1655 3445 1632 3445 1684 3446 1655 3446 1683 3446 1656 3447 1655 3447 1684 3447 1683 3448 1632 3448 1634 3448 1683 3449 1685 3449 1686 3449 1687 3450 1686 3450 1685 3450 1684 3451 1683 3451 1686 3451 1688 3452 1684 3452 1686 3452 1689 3453 1688 3453 1686 3453 1690 3454 1689 3454 1686 3454 1687 3455 1690 3455 1686 3455 1691 3456 1692 3456 1685 3456 1606 3457 1685 3457 1692 3457 1634 3458 1691 3458 1685 3458 1683 3459 1634 3459 1685 3459 1608 3460 1687 3460 1685 3460 1606 3461 1608 3461 1685 3461 1691 3462 1693 3462 1692 3462 1602 3463 1692 3463 1693 3463 1599 3464 1606 3464 1692 3464 1602 3465 1599 3465 1692 3465 1691 3466 1694 3466 1693 3466 1602 3467 1693 3467 1694 3467 1605 3468 1694 3468 1691 3468 1605 3469 1602 3469 1694 3469 1604 3470 1691 3470 1634 3470 1604 3471 1605 3471 1691 3471 1600 3472 1604 3472 1634 3472 1562 3473 1619 3473 1677 3473 1566 3474 1677 3474 1678 3474 1562 3475 1677 3475 1566 3475 1564 3476 1678 3476 1679 3476 1565 3477 1678 3477 1564 3477 1566 3478 1678 3478 1695 3478 1565 3479 1695 3479 1678 3479 1564 3480 1679 3480 1680 3480 1676 3481 1696 3481 1680 3481 1564 3482 1680 3482 1696 3482 1681 3483 1697 3483 1696 3483 1563 3484 1696 3484 1697 3484 1676 3485 1681 3485 1696 3485 1563 3486 1564 3486 1696 3486 1682 3487 1698 3487 1697 3487 1555 3488 1697 3488 1698 3488 1681 3489 1682 3489 1697 3489 1555 3490 1563 3490 1697 3490 1699 3491 1700 3491 1698 3491 1555 3492 1698 3492 1700 3492 1682 3493 1699 3493 1698 3493 1561 3494 1700 3494 1699 3494 1561 3495 1555 3495 1700 3495 1663 3496 1699 3496 1682 3496 1560 3497 1699 3497 1663 3497 1560 3498 1561 3498 1699 3498 1701 3499 1656 3499 1684 3499 1702 3500 1701 3500 1684 3500 1688 3501 1702 3501 1684 3501 1653 3502 1656 3502 1701 3502 1509 3503 1701 3503 1702 3503 1514 3504 1653 3504 1701 3504 1514 3505 1701 3505 1509 3505 1689 3506 1702 3506 1688 3506 1511 3507 1702 3507 1689 3507 1509 3508 1702 3508 1511 3508 1558 3509 1560 3509 1663 3509 1514 3510 1513 3510 1653 3510 1559 3511 1555 3511 1561 3511 1565 3512 1566 3512 1695 3512 1511 3513 1689 3513 1690 3513 1510 3514 1690 3514 1687 3514 1510 3515 1511 3515 1690 3515 1608 3516 1609 3516 1687 3516 1610 3517 1687 3517 1609 3517 1510 3518 1687 3518 1610 3518 1610 3519 1609 3519 1607 3519 1602 3520 1601 3520 1599 3520 1603 3521 1602 3521 1605 3521 1703 3522 1704 3522 1705 3522 1706 3523 1705 3523 1704 3523 1707 3524 1703 3524 1705 3524 1708 3525 1705 3525 1709 3525 1710 3526 1709 3526 1705 3526 1708 3527 1711 3527 1705 3527 1707 3528 1705 3528 1711 3528 1706 3529 1710 3529 1705 3529 1712 3530 1704 3530 1703 3530 1712 3531 1706 3531 1704 3531 1713 3532 1714 3532 1703 3532 1715 3533 1703 3533 1714 3533 1707 3534 1713 3534 1703 3534 1715 3535 1712 3535 1703 3535 1709 3536 1716 3536 1714 3536 1717 3537 1714 3537 1716 3537 1718 3538 1709 3538 1714 3538 1719 3539 1718 3539 1714 3539 1713 3540 1719 3540 1714 3540 1715 3541 1714 3541 1717 3541 1720 3542 1716 3542 1709 3542 1720 3543 1717 3543 1716 3543 1718 3544 1708 3544 1709 3544 1710 3545 1720 3545 1709 3545 1721 3546 1711 3546 1708 3546 1722 3547 1707 3547 1711 3547 1721 3548 1722 3548 1711 3548 1723 3549 1708 3549 1718 3549 1721 3550 1708 3550 1723 3550 1724 3551 1718 3551 1719 3551 1723 3552 1718 3552 1724 3552 1725 3553 1719 3553 1713 3553 1724 3554 1719 3554 1725 3554 1726 3555 1713 3555 1707 3555 1725 3556 1713 3556 1726 3556 1726 3557 1707 3557 1722 3557 1727 3558 1717 3558 1720 3558 1728 3559 1717 3559 1727 3559 1728 3560 1715 3560 1717 3560 1729 3561 1720 3561 1710 3561 1730 3562 1727 3562 1720 3562 1729 3563 1730 3563 1720 3563 1731 3564 1710 3564 1706 3564 1731 3565 1729 3565 1710 3565 1732 3566 1731 3566 1706 3566 1712 3567 1732 3567 1706 3567 1733 3568 1727 3568 1730 3568 1734 3569 1727 3569 1733 3569 1728 3570 1727 3570 1734 3570 1733 3571 1730 3571 1729 3571 1735 3572 1729 3572 1731 3572 1735 3573 1733 3573 1729 3573 1735 3574 1731 3574 1732 3574 1736 3575 1735 3575 1732 3575 1737 3576 1736 3576 1732 3576 1737 3577 1732 3577 1712 3577 1738 3578 1733 3578 1735 3578 1738 3579 1739 3579 1733 3579 1734 3580 1733 3580 1739 3580 1740 3581 1735 3581 1736 3581 1740 3582 1738 3582 1735 3582 1740 3583 1736 3583 1741 3583 1734 3584 1741 3584 1736 3584 1742 3585 1734 3585 1736 3585 1742 3586 1736 3586 1737 3586 1734 3587 1739 3587 1741 3587 1743 3588 1741 3588 1739 3588 1744 3589 1740 3589 1741 3589 1743 3590 1744 3590 1741 3590 1745 3591 1739 3591 1738 3591 1745 3592 1743 3592 1739 3592 1746 3593 1738 3593 1740 3593 1745 3594 1738 3594 1746 3594 1744 3595 1746 3595 1740 3595 1728 3596 1734 3596 1742 3596 1743 3597 1746 3597 1744 3597 1745 3598 1746 3598 1743 3598 1742 3599 1712 3599 1715 3599 1742 3600 1737 3600 1712 3600 1728 3601 1742 3601 1715 3601 1725 3602 1726 3602 1722 3602 1721 3603 1725 3603 1722 3603 1721 3604 1724 3604 1725 3604 1721 3605 1723 3605 1724 3605 1747 3606 1748 3606 1749 3606 1750 3607 1749 3607 1748 3607 1751 3608 1747 3608 1749 3608 1752 3609 1749 3609 1753 3609 1754 3610 1753 3610 1749 3610 1752 3611 1755 3611 1749 3611 1751 3612 1749 3612 1755 3612 1750 3613 1754 3613 1749 3613 1756 3614 1748 3614 1747 3614 1756 3615 1750 3615 1748 3615 1757 3616 1758 3616 1747 3616 1759 3617 1747 3617 1758 3617 1751 3618 1757 3618 1747 3618 1759 3619 1756 3619 1747 3619 1753 3620 1760 3620 1758 3620 1761 3621 1758 3621 1760 3621 1762 3622 1753 3622 1758 3622 1763 3623 1762 3623 1758 3623 1757 3624 1763 3624 1758 3624 1759 3625 1758 3625 1761 3625 1764 3626 1760 3626 1753 3626 1764 3627 1761 3627 1760 3627 1762 3628 1752 3628 1753 3628 1754 3629 1764 3629 1753 3629 1765 3630 1755 3630 1752 3630 1766 3631 1751 3631 1755 3631 1765 3632 1766 3632 1755 3632 1767 3633 1752 3633 1762 3633 1765 3634 1752 3634 1767 3634 1768 3635 1762 3635 1763 3635 1767 3636 1762 3636 1768 3636 1769 3637 1763 3637 1757 3637 1768 3638 1763 3638 1769 3638 1770 3639 1757 3639 1751 3639 1769 3640 1757 3640 1770 3640 1770 3641 1751 3641 1766 3641 1771 3642 1761 3642 1764 3642 1772 3643 1761 3643 1771 3643 1772 3644 1759 3644 1761 3644 1773 3645 1764 3645 1754 3645 1774 3646 1771 3646 1764 3646 1773 3647 1774 3647 1764 3647 1775 3648 1754 3648 1750 3648 1775 3649 1773 3649 1754 3649 1776 3650 1775 3650 1750 3650 1756 3651 1776 3651 1750 3651 1777 3652 1771 3652 1774 3652 1778 3653 1771 3653 1777 3653 1772 3654 1771 3654 1778 3654 1777 3655 1774 3655 1773 3655 1779 3656 1773 3656 1775 3656 1779 3657 1777 3657 1773 3657 1779 3658 1775 3658 1776 3658 1780 3659 1779 3659 1776 3659 1781 3660 1780 3660 1776 3660 1781 3661 1776 3661 1756 3661 1782 3662 1777 3662 1779 3662 1782 3663 1783 3663 1777 3663 1778 3664 1777 3664 1783 3664 1784 3665 1779 3665 1780 3665 1784 3666 1782 3666 1779 3666 1784 3667 1780 3667 1785 3667 1778 3668 1785 3668 1780 3668 1786 3669 1778 3669 1780 3669 1786 3670 1780 3670 1781 3670 1778 3671 1783 3671 1785 3671 1787 3672 1785 3672 1783 3672 1788 3673 1784 3673 1785 3673 1787 3674 1788 3674 1785 3674 1789 3675 1783 3675 1782 3675 1789 3676 1787 3676 1783 3676 1790 3677 1782 3677 1784 3677 1789 3678 1782 3678 1790 3678 1788 3679 1790 3679 1784 3679 1772 3680 1778 3680 1786 3680 1787 3681 1790 3681 1788 3681 1789 3682 1790 3682 1787 3682 1786 3683 1756 3683 1759 3683 1786 3684 1781 3684 1756 3684 1772 3685 1786 3685 1759 3685 1769 3686 1770 3686 1766 3686 1765 3687 1769 3687 1766 3687 1765 3688 1768 3688 1769 3688 1765 3689 1767 3689 1768 3689 1791 3690 1792 3690 1793 3690 1794 3691 1793 3691 1792 3691 1795 3692 1791 3692 1793 3692 1796 3693 1795 3693 1793 3693 1794 3694 1797 3694 1793 3694 1796 3695 1793 3695 1797 3695 1798 3696 1799 3696 1792 3696 1800 3697 1792 3697 1799 3697 1791 3698 1798 3698 1792 3698 1801 3699 1792 3699 1802 3699 1803 3700 1802 3700 1792 3700 1804 3701 1792 3701 1801 3701 1800 3702 1803 3702 1792 3702 1805 3703 1792 3703 1804 3703 1805 3704 1794 3704 1792 3704 1806 3705 1807 3705 1799 3705 1808 3706 1799 3706 1807 3706 1798 3707 1806 3707 1799 3707 1809 3708 1799 3708 1808 3708 1810 3709 1799 3709 1809 3709 1810 3710 1811 3710 1799 3710 1812 3711 1799 3711 1811 3711 1812 3712 1800 3712 1799 3712 1813 3713 1814 3713 1807 3713 1815 3714 1807 3714 1814 3714 1806 3715 1813 3715 1807 3715 1816 3716 1808 3716 1807 3716 1817 3717 1816 3717 1807 3717 1818 3718 1817 3718 1807 3718 1815 3719 1818 3719 1807 3719 1819 3720 1820 3720 1814 3720 1821 3721 1814 3721 1820 3721 1813 3722 1819 3722 1814 3722 1822 3723 1823 3723 1814 3723 1824 3724 1814 3724 1823 3724 1821 3725 1822 3725 1814 3725 1824 3726 1815 3726 1814 3726 1825 3727 1820 3727 1819 3727 1826 3728 1820 3728 1825 3728 1827 3729 1821 3729 1820 3729 1826 3730 1827 3730 1820 3730 1828 3731 1819 3731 1813 3731 1829 3732 1825 3732 1819 3732 1828 3733 1829 3733 1819 3733 1830 3734 1813 3734 1806 3734 1831 3735 1828 3735 1813 3735 1832 3736 1831 3736 1813 3736 1833 3737 1832 3737 1813 3737 1834 3738 1833 3738 1813 3738 1830 3739 1835 3739 1813 3739 1836 3740 1813 3740 1835 3740 1836 3741 1834 3741 1813 3741 1837 3742 1806 3742 1798 3742 1838 3743 1830 3743 1806 3743 1839 3744 1838 3744 1806 3744 1840 3745 1839 3745 1806 3745 1841 3746 1840 3746 1806 3746 1841 3747 1806 3747 1842 3747 1837 3748 1842 3748 1806 3748 1843 3749 1798 3749 1791 3749 1844 3750 1845 3750 1798 3750 1846 3751 1798 3751 1845 3751 1843 3752 1844 3752 1798 3752 1837 3753 1798 3753 1846 3753 1847 3754 1791 3754 1795 3754 1848 3755 1843 3755 1791 3755 1849 3756 1848 3756 1791 3756 1847 3757 1850 3757 1791 3757 1849 3758 1791 3758 1850 3758 1851 3759 1795 3759 1852 3759 1796 3760 1852 3760 1795 3760 1851 3761 1847 3761 1795 3761 1853 3762 1854 3762 1825 3762 1826 3763 1825 3763 1854 3763 1829 3764 1855 3764 1825 3764 1856 3765 1825 3765 1855 3765 1857 3766 1853 3766 1825 3766 1856 3767 1857 3767 1825 3767 1858 3768 1859 3768 1854 3768 1860 3769 1854 3769 1859 3769 1861 3770 1862 3770 1854 3770 1863 3771 1854 3771 1862 3771 1853 3772 1861 3772 1854 3772 1858 3773 1854 3773 1863 3773 1826 3774 1854 3774 1860 3774 1864 3775 1852 3775 1859 3775 1865 3776 1859 3776 1852 3776 1866 3777 1864 3777 1859 3777 1867 3778 1866 3778 1859 3778 1868 3779 1867 3779 1859 3779 1869 3780 1868 3780 1859 3780 1869 3781 1859 3781 1870 3781 1858 3782 1870 3782 1859 3782 1860 3783 1859 3783 1865 3783 1871 3784 1851 3784 1852 3784 1872 3785 1871 3785 1852 3785 1873 3786 1872 3786 1852 3786 1874 3787 1873 3787 1852 3787 1864 3788 1875 3788 1852 3788 1876 3789 1852 3789 1875 3789 1876 3790 1874 3790 1852 3790 1865 3791 1852 3791 1796 3791 1877 3792 1855 3792 1829 3792 1856 3793 1855 3793 1878 3793 1879 3794 1878 3794 1855 3794 1879 3795 1855 3795 1877 3795 1880 3796 1829 3796 1828 3796 1880 3797 1877 3797 1829 3797 1827 3798 1828 3798 1831 3798 1880 3799 1828 3799 1827 3799 1821 3800 1831 3800 1832 3800 1827 3801 1831 3801 1821 3801 1822 3802 1832 3802 1833 3802 1821 3803 1832 3803 1822 3803 1834 3804 1881 3804 1833 3804 1882 3805 1833 3805 1881 3805 1822 3806 1833 3806 1882 3806 1856 3807 1878 3807 1881 3807 1883 3808 1881 3808 1878 3808 1834 3809 1856 3809 1881 3809 1882 3810 1881 3810 1883 3810 1883 3811 1878 3811 1879 3811 1836 3812 1835 3812 1884 3812 1885 3813 1884 3813 1835 3813 1836 3814 1884 3814 1886 3814 1887 3815 1886 3815 1884 3815 1887 3816 1884 3816 1885 3816 1824 3817 1835 3817 1830 3817 1824 3818 1885 3818 1835 3818 1815 3819 1830 3819 1838 3819 1824 3820 1830 3820 1815 3820 1818 3821 1838 3821 1839 3821 1815 3822 1838 3822 1818 3822 1817 3823 1839 3823 1840 3823 1818 3824 1839 3824 1817 3824 1841 3825 1888 3825 1840 3825 1816 3826 1840 3826 1888 3826 1817 3827 1840 3827 1816 3827 1836 3828 1886 3828 1888 3828 1889 3829 1888 3829 1886 3829 1841 3830 1836 3830 1888 3830 1816 3831 1888 3831 1889 3831 1889 3832 1886 3832 1887 3832 1890 3833 1891 3833 1892 3833 1893 3834 1892 3834 1891 3834 1890 3835 1892 3835 1894 3835 1895 3836 1894 3836 1892 3836 1895 3837 1892 3837 1893 3837 1841 3838 1842 3838 1891 3838 1896 3839 1891 3839 1842 3839 1890 3840 1841 3840 1891 3840 1896 3841 1893 3841 1891 3841 1837 3842 1897 3842 1842 3842 1809 3843 1842 3843 1897 3843 1896 3844 1842 3844 1809 3844 1837 3845 1898 3845 1897 3845 1899 3846 1897 3846 1898 3846 1809 3847 1897 3847 1899 3847 1837 3848 1900 3848 1898 3848 1901 3849 1898 3849 1900 3849 1899 3850 1898 3850 1901 3850 1902 3851 1903 3851 1900 3851 1904 3852 1900 3852 1903 3852 1837 3853 1902 3853 1900 3853 1901 3854 1900 3854 1904 3854 1890 3855 1894 3855 1903 3855 1905 3856 1903 3856 1894 3856 1902 3857 1890 3857 1903 3857 1904 3858 1903 3858 1905 3858 1905 3859 1894 3859 1895 3859 1811 3860 1845 3860 1844 3860 1810 3861 1846 3861 1845 3861 1810 3862 1845 3862 1811 3862 1812 3863 1844 3863 1843 3863 1812 3864 1811 3864 1844 3864 1800 3865 1843 3865 1848 3865 1812 3866 1843 3866 1800 3866 1849 3867 1906 3867 1848 3867 1803 3868 1848 3868 1906 3868 1800 3869 1848 3869 1803 3869 1849 3870 1907 3870 1906 3870 1908 3871 1906 3871 1907 3871 1803 3872 1906 3872 1908 3872 1909 3873 1910 3873 1907 3873 1911 3874 1907 3874 1910 3874 1849 3875 1909 3875 1907 3875 1908 3876 1907 3876 1911 3876 1909 3877 1846 3877 1910 3877 1912 3878 1910 3878 1846 3878 1911 3879 1910 3879 1912 3879 1909 3880 1837 3880 1846 3880 1912 3881 1846 3881 1810 3881 1804 3882 1850 3882 1847 3882 1849 3883 1850 3883 1913 3883 1914 3884 1913 3884 1850 3884 1914 3885 1850 3885 1804 3885 1805 3886 1847 3886 1851 3886 1805 3887 1804 3887 1847 3887 1794 3888 1851 3888 1871 3888 1805 3889 1851 3889 1794 3889 1797 3890 1871 3890 1872 3890 1794 3891 1871 3891 1797 3891 1915 3892 1872 3892 1873 3892 1797 3893 1872 3893 1915 3893 1874 3894 1916 3894 1873 3894 1917 3895 1873 3895 1916 3895 1915 3896 1873 3896 1917 3896 1849 3897 1913 3897 1916 3897 1918 3898 1916 3898 1913 3898 1849 3899 1916 3899 1874 3899 1917 3900 1916 3900 1918 3900 1918 3901 1913 3901 1914 3901 1876 3902 1875 3902 1919 3902 1920 3903 1919 3903 1875 3903 1876 3904 1919 3904 1921 3904 1922 3905 1921 3905 1919 3905 1922 3906 1919 3906 1920 3906 1923 3907 1875 3907 1864 3907 1923 3908 1920 3908 1875 3908 1924 3909 1864 3909 1866 3909 1923 3910 1864 3910 1924 3910 1925 3911 1866 3911 1867 3911 1924 3912 1866 3912 1925 3912 1926 3913 1867 3913 1868 3913 1925 3914 1867 3914 1926 3914 1869 3915 1927 3915 1868 3915 1928 3916 1868 3916 1927 3916 1926 3917 1868 3917 1928 3917 1876 3918 1921 3918 1927 3918 1929 3919 1927 3919 1921 3919 1869 3920 1876 3920 1927 3920 1928 3921 1927 3921 1929 3921 1929 3922 1921 3922 1922 3922 1930 3923 1931 3923 1932 3923 1933 3924 1932 3924 1931 3924 1930 3925 1932 3925 1934 3925 1935 3926 1934 3926 1932 3926 1935 3927 1932 3927 1933 3927 1869 3928 1870 3928 1931 3928 1936 3929 1931 3929 1870 3929 1930 3930 1869 3930 1931 3930 1936 3931 1933 3931 1931 3931 1858 3932 1937 3932 1870 3932 1938 3933 1870 3933 1937 3933 1936 3934 1870 3934 1938 3934 1858 3935 1939 3935 1937 3935 1940 3936 1937 3936 1939 3936 1938 3937 1937 3937 1940 3937 1858 3938 1941 3938 1939 3938 1942 3939 1939 3939 1941 3939 1940 3940 1939 3940 1942 3940 1943 3941 1944 3941 1941 3941 1945 3942 1941 3942 1944 3942 1858 3943 1943 3943 1941 3943 1942 3944 1941 3944 1945 3944 1930 3945 1934 3945 1944 3945 1946 3946 1944 3946 1934 3946 1943 3947 1930 3947 1944 3947 1945 3948 1944 3948 1946 3948 1946 3949 1934 3949 1935 3949 1947 3950 1862 3950 1861 3950 1948 3951 1863 3951 1862 3951 1948 3952 1862 3952 1947 3952 1949 3953 1861 3953 1853 3953 1949 3954 1947 3954 1861 3954 1950 3955 1853 3955 1857 3955 1949 3956 1853 3956 1950 3956 1856 3957 1951 3957 1857 3957 1952 3958 1857 3958 1951 3958 1950 3959 1857 3959 1952 3959 1856 3960 1953 3960 1951 3960 1954 3961 1951 3961 1953 3961 1952 3962 1951 3962 1954 3962 1955 3963 1956 3963 1953 3963 1957 3964 1953 3964 1956 3964 1856 3965 1955 3965 1953 3965 1954 3966 1953 3966 1957 3966 1955 3967 1863 3967 1956 3967 1958 3968 1956 3968 1863 3968 1957 3969 1956 3969 1958 3969 1955 3970 1858 3970 1863 3970 1958 3971 1863 3971 1948 3971 1959 3972 1874 3972 1876 3972 1960 3973 1849 3973 1874 3973 1960 3974 1874 3974 1959 3974 1961 3975 1876 3975 1869 3975 1961 3976 1959 3976 1876 3976 1961 3977 1869 3977 1930 3977 1962 3978 1930 3978 1943 3978 1961 3979 1930 3979 1962 3979 1963 3980 1943 3980 1858 3980 1962 3981 1943 3981 1963 3981 1964 3982 1858 3982 1955 3982 1963 3983 1858 3983 1964 3983 1964 3984 1955 3984 1856 3984 1965 3985 1856 3985 1834 3985 1964 3986 1856 3986 1965 3986 1966 3987 1834 3987 1836 3987 1965 3988 1834 3988 1966 3988 1967 3989 1836 3989 1841 3989 1967 3990 1966 3990 1836 3990 1967 3991 1841 3991 1890 3991 1968 3992 1890 3992 1902 3992 1967 3993 1890 3993 1968 3993 1969 3994 1902 3994 1837 3994 1968 3995 1902 3995 1969 3995 1970 3996 1837 3996 1909 3996 1969 3997 1837 3997 1970 3997 1970 3998 1909 3998 1849 3998 1970 3999 1849 3999 1960 3999 1967 4000 1971 4000 1966 4000 1972 4001 1966 4001 1971 4001 1965 4002 1966 4002 1972 4002 1967 4003 1973 4003 1971 4003 1974 4004 1971 4004 1973 4004 1975 4005 1971 4005 1974 4005 1972 4006 1971 4006 1975 4006 1968 4007 1976 4007 1973 4007 1977 4008 1973 4008 1976 4008 1967 4009 1968 4009 1973 4009 1977 4010 1974 4010 1973 4010 1969 4011 1978 4011 1976 4011 1979 4012 1976 4012 1978 4012 1968 4013 1969 4013 1976 4013 1979 4014 1977 4014 1976 4014 1970 4015 1980 4015 1978 4015 1981 4016 1978 4016 1980 4016 1969 4017 1970 4017 1978 4017 1982 4018 1979 4018 1978 4018 1981 4019 1982 4019 1978 4019 1970 4020 1983 4020 1980 4020 1984 4021 1980 4021 1983 4021 1984 4022 1981 4022 1980 4022 1959 4023 1985 4023 1983 4023 1984 4024 1983 4024 1985 4024 1960 4025 1959 4025 1983 4025 1970 4026 1960 4026 1983 4026 1961 4027 1985 4027 1959 4027 1986 4028 1984 4028 1985 4028 1987 4029 1986 4029 1985 4029 1961 4030 1987 4030 1985 4030 1988 4031 1974 4031 1977 4031 1989 4032 1975 4032 1974 4032 1989 4033 1974 4033 1988 4033 1823 4034 1977 4034 1979 4034 1823 4035 1988 4035 1977 4035 1808 4036 1979 4036 1982 4036 1808 4037 1823 4037 1979 4037 1990 4038 1982 4038 1981 4038 1990 4039 1808 4039 1982 4039 1991 4040 1981 4040 1984 4040 1991 4041 1990 4041 1981 4041 1802 4042 1984 4042 1986 4042 1802 4043 1991 4043 1984 4043 1987 4044 1992 4044 1986 4044 1801 4045 1986 4045 1992 4045 1801 4046 1802 4046 1986 4046 1993 4047 1994 4047 1992 4047 1995 4048 1992 4048 1994 4048 1987 4049 1993 4049 1992 4049 1995 4050 1801 4050 1992 4050 1996 4051 1997 4051 1994 4051 1998 4052 1994 4052 1997 4052 1993 4053 1996 4053 1994 4053 1995 4054 1994 4054 1998 4054 1996 4055 1999 4055 1997 4055 2000 4056 1997 4056 1999 4056 1998 4057 1997 4057 2000 4057 2001 4058 1975 4058 1999 4058 2002 4059 1999 4059 1975 4059 1996 4060 2001 4060 1999 4060 2000 4061 1999 4061 2002 4061 2001 4062 1972 4062 1975 4062 2002 4063 1975 4063 1989 4063 1964 4064 1972 4064 2001 4064 1964 4065 1965 4065 1972 4065 1964 4066 2001 4066 1996 4066 1963 4067 1996 4067 1993 4067 1963 4068 1964 4068 1996 4068 1962 4069 1993 4069 1987 4069 1962 4070 1963 4070 1993 4070 1961 4071 1962 4071 1987 4071 1883 4072 1988 4072 1823 4072 1826 4073 1989 4073 1988 4073 1879 4074 1877 4074 1988 4074 1826 4075 1988 4075 1877 4075 1883 4076 1879 4076 1988 4076 1889 4077 1823 4077 1808 4077 1882 4078 1883 4078 1823 4078 1822 4079 1882 4079 1823 4079 1887 4080 1885 4080 1823 4080 1824 4081 1823 4081 1885 4081 1889 4082 1887 4082 1823 4082 1905 4083 1808 4083 1990 4083 1816 4084 1889 4084 1808 4084 1895 4085 1893 4085 1808 4085 1896 4086 1808 4086 1893 4086 1905 4087 1895 4087 1808 4087 1896 4088 1809 4088 1808 4088 1905 4089 1990 4089 1991 4089 1912 4090 1991 4090 1802 4090 1904 4091 1905 4091 1991 4091 1991 4092 1912 4092 1810 4092 1911 4093 1912 4093 1802 4093 1908 4094 1911 4094 1802 4094 1803 4095 1908 4095 1802 4095 1918 4096 1801 4096 1995 4096 1914 4097 1804 4097 1801 4097 1918 4098 1914 4098 1801 4098 1958 4099 2002 4099 1989 4099 1957 4100 1958 4100 1989 4100 1954 4101 1957 4101 1989 4101 1952 4102 1954 4102 1989 4102 1826 4103 1952 4103 1989 4103 1946 4104 2000 4104 2002 4104 1945 4105 1946 4105 2002 4105 2002 4106 1958 4106 1948 4106 1946 4107 1998 4107 2000 4107 1929 4108 1995 4108 1998 4108 1928 4109 1929 4109 1998 4109 1865 4110 1928 4110 1998 4110 1935 4111 1933 4111 1998 4111 1936 4112 1998 4112 1933 4112 1946 4113 1935 4113 1998 4113 1936 4114 1938 4114 1998 4114 1860 4115 1998 4115 1938 4115 1860 4116 1865 4116 1998 4116 1917 4117 1918 4117 1995 4117 1915 4118 1917 4118 1995 4118 1796 4119 1915 4119 1995 4119 1922 4120 1920 4120 1995 4120 1923 4121 1995 4121 1920 4121 1929 4122 1922 4122 1995 4122 1796 4123 1995 4123 1923 4123 1826 4124 1877 4124 1880 4124 1826 4125 1880 4125 1827 4125 1810 4126 1901 4126 1904 4126 1810 4127 1904 4127 1991 4127 1810 4128 1899 4128 1901 4128 1810 4129 1809 4129 1899 4129 1796 4130 1797 4130 1915 4130 1865 4131 1926 4131 1928 4131 1865 4132 1925 4132 1926 4132 1865 4133 1924 4133 1925 4133 1796 4134 1923 4134 1924 4134 1865 4135 1796 4135 1924 4135 1948 4136 1942 4136 1945 4136 1948 4137 1945 4137 2002 4137 1948 4138 1940 4138 1942 4138 1948 4139 1938 4139 1940 4139 1860 4140 1938 4140 1948 4140 1860 4141 1948 4141 1947 4141 1860 4142 1947 4142 1949 4142 1826 4143 1950 4143 1952 4143 1860 4144 1949 4144 1950 4144 1826 4145 1860 4145 1950 4145 2003 4146 2004 4146 2005 4146 2006 4147 2005 4147 2004 4147 2007 4148 2003 4148 2005 4148 2008 4149 2007 4149 2005 4149 2006 4150 2009 4150 2005 4150 2008 4151 2005 4151 2009 4151 2010 4152 2011 4152 2004 4152 2012 4153 2004 4153 2011 4153 2003 4154 2010 4154 2004 4154 2013 4155 2004 4155 2014 4155 2015 4156 2014 4156 2004 4156 2016 4157 2004 4157 2013 4157 2012 4158 2015 4158 2004 4158 2017 4159 2004 4159 2016 4159 2017 4160 2006 4160 2004 4160 2018 4161 2019 4161 2011 4161 2020 4162 2011 4162 2019 4162 2010 4163 2018 4163 2011 4163 2021 4164 2011 4164 2020 4164 2022 4165 2011 4165 2021 4165 2022 4166 2023 4166 2011 4166 2024 4167 2011 4167 2023 4167 2024 4168 2012 4168 2011 4168 2025 4169 2026 4169 2019 4169 2027 4170 2019 4170 2026 4170 2018 4171 2025 4171 2019 4171 2028 4172 2020 4172 2019 4172 2029 4173 2028 4173 2019 4173 2030 4174 2029 4174 2019 4174 2027 4175 2030 4175 2019 4175 2031 4176 2032 4176 2026 4176 2033 4177 2026 4177 2032 4177 2025 4178 2031 4178 2026 4178 2034 4179 2035 4179 2026 4179 2036 4180 2026 4180 2035 4180 2033 4181 2034 4181 2026 4181 2036 4182 2027 4182 2026 4182 2037 4183 2032 4183 2031 4183 2038 4184 2032 4184 2037 4184 2039 4185 2033 4185 2032 4185 2038 4186 2039 4186 2032 4186 2040 4187 2031 4187 2025 4187 2041 4188 2037 4188 2031 4188 2040 4189 2041 4189 2031 4189 2042 4190 2025 4190 2018 4190 2043 4191 2040 4191 2025 4191 2044 4192 2043 4192 2025 4192 2045 4193 2044 4193 2025 4193 2046 4194 2045 4194 2025 4194 2042 4195 2047 4195 2025 4195 2048 4196 2025 4196 2047 4196 2048 4197 2046 4197 2025 4197 2049 4198 2018 4198 2010 4198 2050 4199 2042 4199 2018 4199 2051 4200 2050 4200 2018 4200 2052 4201 2051 4201 2018 4201 2053 4202 2052 4202 2018 4202 2053 4203 2018 4203 2054 4203 2049 4204 2054 4204 2018 4204 2055 4205 2010 4205 2003 4205 2056 4206 2057 4206 2010 4206 2058 4207 2010 4207 2057 4207 2055 4208 2056 4208 2010 4208 2049 4209 2010 4209 2058 4209 2059 4210 2003 4210 2007 4210 2060 4211 2055 4211 2003 4211 2061 4212 2060 4212 2003 4212 2059 4213 2062 4213 2003 4213 2061 4214 2003 4214 2062 4214 2063 4215 2007 4215 2064 4215 2008 4216 2064 4216 2007 4216 2063 4217 2059 4217 2007 4217 2065 4218 2066 4218 2037 4218 2038 4219 2037 4219 2066 4219 2041 4220 2067 4220 2037 4220 2068 4221 2037 4221 2067 4221 2069 4222 2065 4222 2037 4222 2068 4223 2069 4223 2037 4223 2070 4224 2071 4224 2066 4224 2072 4225 2066 4225 2071 4225 2073 4226 2074 4226 2066 4226 2075 4227 2066 4227 2074 4227 2065 4228 2073 4228 2066 4228 2070 4229 2066 4229 2075 4229 2038 4230 2066 4230 2072 4230 2076 4231 2064 4231 2071 4231 2077 4232 2071 4232 2064 4232 2078 4233 2076 4233 2071 4233 2079 4234 2078 4234 2071 4234 2080 4235 2079 4235 2071 4235 2081 4236 2080 4236 2071 4236 2081 4237 2071 4237 2082 4237 2070 4238 2082 4238 2071 4238 2072 4239 2071 4239 2077 4239 2083 4240 2063 4240 2064 4240 2084 4241 2083 4241 2064 4241 2085 4242 2084 4242 2064 4242 2086 4243 2085 4243 2064 4243 2076 4244 2087 4244 2064 4244 2088 4245 2064 4245 2087 4245 2088 4246 2086 4246 2064 4246 2077 4247 2064 4247 2008 4247 2089 4248 2067 4248 2041 4248 2068 4249 2067 4249 2090 4249 2091 4250 2090 4250 2067 4250 2091 4251 2067 4251 2089 4251 2092 4252 2041 4252 2040 4252 2092 4253 2089 4253 2041 4253 2039 4254 2040 4254 2043 4254 2092 4255 2040 4255 2039 4255 2033 4256 2043 4256 2044 4256 2039 4257 2043 4257 2033 4257 2034 4258 2044 4258 2045 4258 2033 4259 2044 4259 2034 4259 2046 4260 2093 4260 2045 4260 2094 4261 2045 4261 2093 4261 2034 4262 2045 4262 2094 4262 2068 4263 2090 4263 2093 4263 2095 4264 2093 4264 2090 4264 2046 4265 2068 4265 2093 4265 2094 4266 2093 4266 2095 4266 2095 4267 2090 4267 2091 4267 2048 4268 2047 4268 2096 4268 2097 4269 2096 4269 2047 4269 2048 4270 2096 4270 2098 4270 2099 4271 2098 4271 2096 4271 2099 4272 2096 4272 2097 4272 2036 4273 2047 4273 2042 4273 2036 4274 2097 4274 2047 4274 2027 4275 2042 4275 2050 4275 2036 4276 2042 4276 2027 4276 2030 4277 2050 4277 2051 4277 2027 4278 2050 4278 2030 4278 2029 4279 2051 4279 2052 4279 2030 4280 2051 4280 2029 4280 2053 4281 2100 4281 2052 4281 2028 4282 2052 4282 2100 4282 2029 4283 2052 4283 2028 4283 2048 4284 2098 4284 2100 4284 2101 4285 2100 4285 2098 4285 2053 4286 2048 4286 2100 4286 2028 4287 2100 4287 2101 4287 2101 4288 2098 4288 2099 4288 2102 4289 2103 4289 2104 4289 2105 4290 2104 4290 2103 4290 2102 4291 2104 4291 2106 4291 2107 4292 2106 4292 2104 4292 2107 4293 2104 4293 2105 4293 2053 4294 2054 4294 2103 4294 2108 4295 2103 4295 2054 4295 2102 4296 2053 4296 2103 4296 2108 4297 2105 4297 2103 4297 2049 4298 2109 4298 2054 4298 2021 4299 2054 4299 2109 4299 2108 4300 2054 4300 2021 4300 2049 4301 2110 4301 2109 4301 2111 4302 2109 4302 2110 4302 2021 4303 2109 4303 2111 4303 2049 4304 2112 4304 2110 4304 2113 4305 2110 4305 2112 4305 2111 4306 2110 4306 2113 4306 2114 4307 2115 4307 2112 4307 2116 4308 2112 4308 2115 4308 2049 4309 2114 4309 2112 4309 2113 4310 2112 4310 2116 4310 2102 4311 2106 4311 2115 4311 2117 4312 2115 4312 2106 4312 2114 4313 2102 4313 2115 4313 2116 4314 2115 4314 2117 4314 2117 4315 2106 4315 2107 4315 2023 4316 2057 4316 2056 4316 2022 4317 2058 4317 2057 4317 2022 4318 2057 4318 2023 4318 2024 4319 2056 4319 2055 4319 2024 4320 2023 4320 2056 4320 2012 4321 2055 4321 2060 4321 2024 4322 2055 4322 2012 4322 2061 4323 2118 4323 2060 4323 2015 4324 2060 4324 2118 4324 2012 4325 2060 4325 2015 4325 2061 4326 2119 4326 2118 4326 2120 4327 2118 4327 2119 4327 2015 4328 2118 4328 2120 4328 2121 4329 2122 4329 2119 4329 2123 4330 2119 4330 2122 4330 2061 4331 2121 4331 2119 4331 2120 4332 2119 4332 2123 4332 2121 4333 2058 4333 2122 4333 2124 4334 2122 4334 2058 4334 2123 4335 2122 4335 2124 4335 2121 4336 2049 4336 2058 4336 2124 4337 2058 4337 2022 4337 2016 4338 2062 4338 2059 4338 2061 4339 2062 4339 2125 4339 2126 4340 2125 4340 2062 4340 2126 4341 2062 4341 2016 4341 2017 4342 2059 4342 2063 4342 2017 4343 2016 4343 2059 4343 2006 4344 2063 4344 2083 4344 2017 4345 2063 4345 2006 4345 2009 4346 2083 4346 2084 4346 2006 4347 2083 4347 2009 4347 2127 4348 2084 4348 2085 4348 2009 4349 2084 4349 2127 4349 2086 4350 2128 4350 2085 4350 2129 4351 2085 4351 2128 4351 2127 4352 2085 4352 2129 4352 2061 4353 2125 4353 2128 4353 2130 4354 2128 4354 2125 4354 2061 4355 2128 4355 2086 4355 2129 4356 2128 4356 2130 4356 2130 4357 2125 4357 2126 4357 2088 4358 2087 4358 2131 4358 2132 4359 2131 4359 2087 4359 2088 4360 2131 4360 2133 4360 2134 4361 2133 4361 2131 4361 2134 4362 2131 4362 2132 4362 2135 4363 2087 4363 2076 4363 2135 4364 2132 4364 2087 4364 2136 4365 2076 4365 2078 4365 2135 4366 2076 4366 2136 4366 2137 4367 2078 4367 2079 4367 2136 4368 2078 4368 2137 4368 2138 4369 2079 4369 2080 4369 2137 4370 2079 4370 2138 4370 2081 4371 2139 4371 2080 4371 2140 4372 2080 4372 2139 4372 2138 4373 2080 4373 2140 4373 2088 4374 2133 4374 2139 4374 2141 4375 2139 4375 2133 4375 2081 4376 2088 4376 2139 4376 2140 4377 2139 4377 2141 4377 2141 4378 2133 4378 2134 4378 2142 4379 2143 4379 2144 4379 2145 4380 2144 4380 2143 4380 2142 4381 2144 4381 2146 4381 2147 4382 2146 4382 2144 4382 2147 4383 2144 4383 2145 4383 2081 4384 2082 4384 2143 4384 2148 4385 2143 4385 2082 4385 2142 4386 2081 4386 2143 4386 2148 4387 2145 4387 2143 4387 2070 4388 2149 4388 2082 4388 2150 4389 2082 4389 2149 4389 2148 4390 2082 4390 2150 4390 2070 4391 2151 4391 2149 4391 2152 4392 2149 4392 2151 4392 2150 4393 2149 4393 2152 4393 2070 4394 2153 4394 2151 4394 2154 4395 2151 4395 2153 4395 2152 4396 2151 4396 2154 4396 2155 4397 2156 4397 2153 4397 2157 4398 2153 4398 2156 4398 2070 4399 2155 4399 2153 4399 2154 4400 2153 4400 2157 4400 2142 4401 2146 4401 2156 4401 2158 4402 2156 4402 2146 4402 2155 4403 2142 4403 2156 4403 2157 4404 2156 4404 2158 4404 2158 4405 2146 4405 2147 4405 2159 4406 2074 4406 2073 4406 2160 4407 2075 4407 2074 4407 2160 4408 2074 4408 2159 4408 2161 4409 2073 4409 2065 4409 2161 4410 2159 4410 2073 4410 2162 4411 2065 4411 2069 4411 2161 4412 2065 4412 2162 4412 2068 4413 2163 4413 2069 4413 2164 4414 2069 4414 2163 4414 2162 4415 2069 4415 2164 4415 2068 4416 2165 4416 2163 4416 2166 4417 2163 4417 2165 4417 2164 4418 2163 4418 2166 4418 2167 4419 2168 4419 2165 4419 2169 4420 2165 4420 2168 4420 2068 4421 2167 4421 2165 4421 2166 4422 2165 4422 2169 4422 2167 4423 2075 4423 2168 4423 2170 4424 2168 4424 2075 4424 2169 4425 2168 4425 2170 4425 2167 4426 2070 4426 2075 4426 2170 4427 2075 4427 2160 4427 2171 4428 2086 4428 2088 4428 2172 4429 2061 4429 2086 4429 2172 4430 2086 4430 2171 4430 2173 4431 2088 4431 2081 4431 2173 4432 2171 4432 2088 4432 2173 4433 2081 4433 2142 4433 2174 4434 2142 4434 2155 4434 2173 4435 2142 4435 2174 4435 2175 4436 2155 4436 2070 4436 2174 4437 2155 4437 2175 4437 2176 4438 2070 4438 2167 4438 2175 4439 2070 4439 2176 4439 2176 4440 2167 4440 2068 4440 2177 4441 2068 4441 2046 4441 2176 4442 2068 4442 2177 4442 2178 4443 2046 4443 2048 4443 2177 4444 2046 4444 2178 4444 2179 4445 2048 4445 2053 4445 2179 4446 2178 4446 2048 4446 2179 4447 2053 4447 2102 4447 2180 4448 2102 4448 2114 4448 2179 4449 2102 4449 2180 4449 2181 4450 2114 4450 2049 4450 2180 4451 2114 4451 2181 4451 2182 4452 2049 4452 2121 4452 2181 4453 2049 4453 2182 4453 2182 4454 2121 4454 2061 4454 2182 4455 2061 4455 2172 4455 2179 4456 2183 4456 2178 4456 2184 4457 2178 4457 2183 4457 2177 4458 2178 4458 2184 4458 2179 4459 2185 4459 2183 4459 2186 4460 2183 4460 2185 4460 2187 4461 2183 4461 2186 4461 2184 4462 2183 4462 2187 4462 2180 4463 2188 4463 2185 4463 2189 4464 2185 4464 2188 4464 2179 4465 2180 4465 2185 4465 2189 4466 2186 4466 2185 4466 2181 4467 2190 4467 2188 4467 2191 4468 2188 4468 2190 4468 2180 4469 2181 4469 2188 4469 2191 4470 2189 4470 2188 4470 2182 4471 2192 4471 2190 4471 2193 4472 2190 4472 2192 4472 2181 4473 2182 4473 2190 4473 2194 4474 2191 4474 2190 4474 2193 4475 2194 4475 2190 4475 2182 4476 2195 4476 2192 4476 2196 4477 2192 4477 2195 4477 2196 4478 2193 4478 2192 4478 2171 4479 2197 4479 2195 4479 2196 4480 2195 4480 2197 4480 2172 4481 2171 4481 2195 4481 2182 4482 2172 4482 2195 4482 2173 4483 2197 4483 2171 4483 2198 4484 2196 4484 2197 4484 2199 4485 2198 4485 2197 4485 2173 4486 2199 4486 2197 4486 2200 4487 2186 4487 2189 4487 2201 4488 2187 4488 2186 4488 2201 4489 2186 4489 2200 4489 2035 4490 2189 4490 2191 4490 2035 4491 2200 4491 2189 4491 2020 4492 2191 4492 2194 4492 2020 4493 2035 4493 2191 4493 2202 4494 2194 4494 2193 4494 2202 4495 2020 4495 2194 4495 2203 4496 2193 4496 2196 4496 2203 4497 2202 4497 2193 4497 2014 4498 2196 4498 2198 4498 2014 4499 2203 4499 2196 4499 2199 4500 2204 4500 2198 4500 2013 4501 2198 4501 2204 4501 2013 4502 2014 4502 2198 4502 2205 4503 2206 4503 2204 4503 2207 4504 2204 4504 2206 4504 2199 4505 2205 4505 2204 4505 2207 4506 2013 4506 2204 4506 2208 4507 2209 4507 2206 4507 2210 4508 2206 4508 2209 4508 2205 4509 2208 4509 2206 4509 2207 4510 2206 4510 2210 4510 2208 4511 2211 4511 2209 4511 2212 4512 2209 4512 2211 4512 2210 4513 2209 4513 2212 4513 2213 4514 2187 4514 2211 4514 2214 4515 2211 4515 2187 4515 2208 4516 2213 4516 2211 4516 2212 4517 2211 4517 2214 4517 2213 4518 2184 4518 2187 4518 2214 4519 2187 4519 2201 4519 2176 4520 2184 4520 2213 4520 2176 4521 2177 4521 2184 4521 2176 4522 2213 4522 2208 4522 2175 4523 2208 4523 2205 4523 2175 4524 2176 4524 2208 4524 2174 4525 2205 4525 2199 4525 2174 4526 2175 4526 2205 4526 2173 4527 2174 4527 2199 4527 2095 4528 2200 4528 2035 4528 2038 4529 2201 4529 2200 4529 2091 4530 2089 4530 2200 4530 2038 4531 2200 4531 2089 4531 2095 4532 2091 4532 2200 4532 2101 4533 2035 4533 2020 4533 2094 4534 2095 4534 2035 4534 2034 4535 2094 4535 2035 4535 2099 4536 2097 4536 2035 4536 2036 4537 2035 4537 2097 4537 2101 4538 2099 4538 2035 4538 2117 4539 2020 4539 2202 4539 2028 4540 2101 4540 2020 4540 2107 4541 2105 4541 2020 4541 2108 4542 2020 4542 2105 4542 2117 4543 2107 4543 2020 4543 2108 4544 2021 4544 2020 4544 2117 4545 2202 4545 2203 4545 2124 4546 2203 4546 2014 4546 2116 4547 2117 4547 2203 4547 2203 4548 2124 4548 2022 4548 2123 4549 2124 4549 2014 4549 2120 4550 2123 4550 2014 4550 2015 4551 2120 4551 2014 4551 2130 4552 2013 4552 2207 4552 2126 4553 2016 4553 2013 4553 2130 4554 2126 4554 2013 4554 2170 4555 2214 4555 2201 4555 2169 4556 2170 4556 2201 4556 2166 4557 2169 4557 2201 4557 2164 4558 2166 4558 2201 4558 2038 4559 2164 4559 2201 4559 2158 4560 2212 4560 2214 4560 2157 4561 2158 4561 2214 4561 2214 4562 2170 4562 2160 4562 2158 4563 2210 4563 2212 4563 2141 4564 2207 4564 2210 4564 2140 4565 2141 4565 2210 4565 2077 4566 2140 4566 2210 4566 2147 4567 2145 4567 2210 4567 2148 4568 2210 4568 2145 4568 2158 4569 2147 4569 2210 4569 2148 4570 2150 4570 2210 4570 2072 4571 2210 4571 2150 4571 2072 4572 2077 4572 2210 4572 2129 4573 2130 4573 2207 4573 2127 4574 2129 4574 2207 4574 2008 4575 2127 4575 2207 4575 2134 4576 2132 4576 2207 4576 2135 4577 2207 4577 2132 4577 2141 4578 2134 4578 2207 4578 2008 4579 2207 4579 2135 4579 2038 4580 2089 4580 2092 4580 2038 4581 2092 4581 2039 4581 2022 4582 2113 4582 2116 4582 2022 4583 2116 4583 2203 4583 2022 4584 2111 4584 2113 4584 2022 4585 2021 4585 2111 4585 2008 4586 2009 4586 2127 4586 2077 4587 2138 4587 2140 4587 2077 4588 2137 4588 2138 4588 2077 4589 2136 4589 2137 4589 2008 4590 2135 4590 2136 4590 2077 4591 2008 4591 2136 4591 2160 4592 2154 4592 2157 4592 2160 4593 2157 4593 2214 4593 2160 4594 2152 4594 2154 4594 2160 4595 2150 4595 2152 4595 2072 4596 2150 4596 2160 4596 2072 4597 2160 4597 2159 4597 2072 4598 2159 4598 2161 4598 2038 4599 2162 4599 2164 4599 2072 4600 2161 4600 2162 4600 2038 4601 2072 4601 2162 4601 2215 4602 2216 4602 2217 4602 2218 4603 2217 4603 2216 4603 2219 4604 2215 4604 2217 4604 2220 4605 2217 4605 2221 4605 2222 4606 2221 4606 2217 4606 2220 4607 2223 4607 2217 4607 2219 4608 2217 4608 2223 4608 2218 4609 2222 4609 2217 4609 2224 4610 2216 4610 2215 4610 2224 4611 2218 4611 2216 4611 2225 4612 2226 4612 2215 4612 2227 4613 2215 4613 2226 4613 2219 4614 2225 4614 2215 4614 2227 4615 2224 4615 2215 4615 2221 4616 2228 4616 2226 4616 2229 4617 2226 4617 2228 4617 2230 4618 2221 4618 2226 4618 2231 4619 2230 4619 2226 4619 2225 4620 2231 4620 2226 4620 2227 4621 2226 4621 2229 4621 2232 4622 2228 4622 2221 4622 2232 4623 2229 4623 2228 4623 2230 4624 2220 4624 2221 4624 2222 4625 2232 4625 2221 4625 2233 4626 2223 4626 2220 4626 2234 4627 2219 4627 2223 4627 2233 4628 2234 4628 2223 4628 2235 4629 2220 4629 2230 4629 2233 4630 2220 4630 2235 4630 2236 4631 2230 4631 2231 4631 2235 4632 2230 4632 2236 4632 2237 4633 2231 4633 2225 4633 2236 4634 2231 4634 2237 4634 2238 4635 2225 4635 2219 4635 2237 4636 2225 4636 2238 4636 2238 4637 2219 4637 2234 4637 2239 4638 2229 4638 2232 4638 2240 4639 2229 4639 2239 4639 2240 4640 2227 4640 2229 4640 2241 4641 2232 4641 2222 4641 2242 4642 2239 4642 2232 4642 2241 4643 2242 4643 2232 4643 2243 4644 2222 4644 2218 4644 2243 4645 2241 4645 2222 4645 2244 4646 2243 4646 2218 4646 2224 4647 2244 4647 2218 4647 2245 4648 2239 4648 2242 4648 2246 4649 2239 4649 2245 4649 2240 4650 2239 4650 2246 4650 2245 4651 2242 4651 2241 4651 2247 4652 2241 4652 2243 4652 2247 4653 2245 4653 2241 4653 2247 4654 2243 4654 2244 4654 2248 4655 2247 4655 2244 4655 2249 4656 2248 4656 2244 4656 2249 4657 2244 4657 2224 4657 2250 4658 2245 4658 2247 4658 2250 4659 2251 4659 2245 4659 2246 4660 2245 4660 2251 4660 2252 4661 2247 4661 2248 4661 2252 4662 2250 4662 2247 4662 2252 4663 2248 4663 2253 4663 2246 4664 2253 4664 2248 4664 2254 4665 2246 4665 2248 4665 2254 4666 2248 4666 2249 4666 2246 4667 2251 4667 2253 4667 2255 4668 2253 4668 2251 4668 2256 4669 2252 4669 2253 4669 2255 4670 2256 4670 2253 4670 2257 4671 2251 4671 2250 4671 2257 4672 2255 4672 2251 4672 2258 4673 2250 4673 2252 4673 2257 4674 2250 4674 2258 4674 2256 4675 2258 4675 2252 4675 2240 4676 2246 4676 2254 4676 2255 4677 2258 4677 2256 4677 2257 4678 2258 4678 2255 4678 2254 4679 2224 4679 2227 4679 2254 4680 2249 4680 2224 4680 2240 4681 2254 4681 2227 4681 2237 4682 2238 4682 2234 4682 2233 4683 2237 4683 2234 4683 2233 4684 2236 4684 2237 4684 2233 4685 2235 4685 2236 4685 2259 4686 2260 4686 2261 4686 2262 4687 2261 4687 2260 4687 2263 4688 2259 4688 2261 4688 2264 4689 2261 4689 2265 4689 2266 4690 2265 4690 2261 4690 2264 4691 2267 4691 2261 4691 2263 4692 2261 4692 2267 4692 2262 4693 2266 4693 2261 4693 2268 4694 2260 4694 2259 4694 2268 4695 2262 4695 2260 4695 2269 4696 2270 4696 2259 4696 2271 4697 2259 4697 2270 4697 2263 4698 2269 4698 2259 4698 2271 4699 2268 4699 2259 4699 2265 4700 2272 4700 2270 4700 2273 4701 2270 4701 2272 4701 2274 4702 2265 4702 2270 4702 2275 4703 2274 4703 2270 4703 2269 4704 2275 4704 2270 4704 2271 4705 2270 4705 2273 4705 2276 4706 2272 4706 2265 4706 2276 4707 2273 4707 2272 4707 2274 4708 2264 4708 2265 4708 2266 4709 2276 4709 2265 4709 2277 4710 2267 4710 2264 4710 2278 4711 2263 4711 2267 4711 2277 4712 2278 4712 2267 4712 2279 4713 2264 4713 2274 4713 2277 4714 2264 4714 2279 4714 2280 4715 2274 4715 2275 4715 2279 4716 2274 4716 2280 4716 2281 4717 2275 4717 2269 4717 2280 4718 2275 4718 2281 4718 2282 4719 2269 4719 2263 4719 2281 4720 2269 4720 2282 4720 2282 4721 2263 4721 2278 4721 2283 4722 2273 4722 2276 4722 2284 4723 2273 4723 2283 4723 2284 4724 2271 4724 2273 4724 2285 4725 2276 4725 2266 4725 2286 4726 2283 4726 2276 4726 2285 4727 2286 4727 2276 4727 2287 4728 2266 4728 2262 4728 2287 4729 2285 4729 2266 4729 2288 4730 2287 4730 2262 4730 2268 4731 2288 4731 2262 4731 2289 4732 2283 4732 2286 4732 2290 4733 2283 4733 2289 4733 2284 4734 2283 4734 2290 4734 2289 4735 2286 4735 2285 4735 2291 4736 2285 4736 2287 4736 2291 4737 2289 4737 2285 4737 2291 4738 2287 4738 2288 4738 2292 4739 2291 4739 2288 4739 2293 4740 2292 4740 2288 4740 2293 4741 2288 4741 2268 4741 2294 4742 2289 4742 2291 4742 2294 4743 2295 4743 2289 4743 2290 4744 2289 4744 2295 4744 2296 4745 2291 4745 2292 4745 2296 4746 2294 4746 2291 4746 2296 4747 2292 4747 2297 4747 2290 4748 2297 4748 2292 4748 2298 4749 2290 4749 2292 4749 2298 4750 2292 4750 2293 4750 2290 4751 2295 4751 2297 4751 2299 4752 2297 4752 2295 4752 2300 4753 2296 4753 2297 4753 2299 4754 2300 4754 2297 4754 2301 4755 2295 4755 2294 4755 2301 4756 2299 4756 2295 4756 2302 4757 2294 4757 2296 4757 2301 4758 2294 4758 2302 4758 2300 4759 2302 4759 2296 4759 2284 4760 2290 4760 2298 4760 2299 4761 2302 4761 2300 4761 2301 4762 2302 4762 2299 4762 2298 4763 2268 4763 2271 4763 2298 4764 2293 4764 2268 4764 2284 4765 2298 4765 2271 4765 2281 4766 2282 4766 2278 4766 2277 4767 2281 4767 2278 4767 2277 4768 2280 4768 2281 4768 2277 4769 2279 4769 2280 4769 2303 4770 2304 4770 2305 4770 2306 4771 2305 4771 2304 4771 2307 4772 2303 4772 2305 4772 2308 4773 2305 4773 2309 4773 2310 4774 2309 4774 2305 4774 2308 4775 2311 4775 2305 4775 2307 4776 2305 4776 2311 4776 2306 4777 2310 4777 2305 4777 2312 4778 2304 4778 2303 4778 2312 4779 2306 4779 2304 4779 2313 4780 2314 4780 2303 4780 2315 4781 2303 4781 2314 4781 2307 4782 2313 4782 2303 4782 2315 4783 2312 4783 2303 4783 2309 4784 2316 4784 2314 4784 2317 4785 2314 4785 2316 4785 2318 4786 2309 4786 2314 4786 2319 4787 2318 4787 2314 4787 2313 4788 2319 4788 2314 4788 2315 4789 2314 4789 2317 4789 2320 4790 2316 4790 2309 4790 2320 4791 2317 4791 2316 4791 2318 4792 2308 4792 2309 4792 2310 4793 2320 4793 2309 4793 2321 4794 2311 4794 2308 4794 2322 4795 2307 4795 2311 4795 2321 4796 2322 4796 2311 4796 2323 4797 2308 4797 2318 4797 2321 4798 2308 4798 2323 4798 2324 4799 2318 4799 2319 4799 2323 4800 2318 4800 2324 4800 2325 4801 2319 4801 2313 4801 2324 4802 2319 4802 2325 4802 2326 4803 2313 4803 2307 4803 2325 4804 2313 4804 2326 4804 2326 4805 2307 4805 2322 4805 2327 4806 2317 4806 2320 4806 2328 4807 2317 4807 2327 4807 2328 4808 2315 4808 2317 4808 2329 4809 2320 4809 2310 4809 2330 4810 2327 4810 2320 4810 2329 4811 2330 4811 2320 4811 2331 4812 2310 4812 2306 4812 2331 4813 2329 4813 2310 4813 2332 4814 2331 4814 2306 4814 2312 4815 2332 4815 2306 4815 2333 4816 2327 4816 2330 4816 2334 4817 2327 4817 2333 4817 2328 4818 2327 4818 2334 4818 2333 4819 2330 4819 2329 4819 2335 4820 2329 4820 2331 4820 2335 4821 2333 4821 2329 4821 2335 4822 2331 4822 2332 4822 2336 4823 2335 4823 2332 4823 2337 4824 2336 4824 2332 4824 2337 4825 2332 4825 2312 4825 2338 4826 2333 4826 2335 4826 2338 4827 2339 4827 2333 4827 2334 4828 2333 4828 2339 4828 2340 4829 2335 4829 2336 4829 2340 4830 2338 4830 2335 4830 2340 4831 2336 4831 2341 4831 2334 4832 2341 4832 2336 4832 2342 4833 2334 4833 2336 4833 2342 4834 2336 4834 2337 4834 2334 4835 2339 4835 2341 4835 2343 4836 2341 4836 2339 4836 2344 4837 2340 4837 2341 4837 2343 4838 2344 4838 2341 4838 2345 4839 2339 4839 2338 4839 2345 4840 2343 4840 2339 4840 2346 4841 2338 4841 2340 4841 2345 4842 2338 4842 2346 4842 2344 4843 2346 4843 2340 4843 2328 4844 2334 4844 2342 4844 2343 4845 2346 4845 2344 4845 2345 4846 2346 4846 2343 4846 2342 4847 2312 4847 2315 4847 2342 4848 2337 4848 2312 4848 2328 4849 2342 4849 2315 4849 2325 4850 2326 4850 2322 4850 2321 4851 2325 4851 2322 4851 2321 4852 2324 4852 2325 4852 2321 4853 2323 4853 2324 4853 2347 4854 2348 4854 2349 4854 2350 4855 2349 4855 2348 4855 2351 4856 2347 4856 2349 4856 2352 4857 2349 4857 2353 4857 2354 4858 2353 4858 2349 4858 2352 4859 2355 4859 2349 4859 2351 4860 2349 4860 2355 4860 2350 4861 2354 4861 2349 4861 2356 4862 2348 4862 2347 4862 2356 4863 2350 4863 2348 4863 2357 4864 2358 4864 2347 4864 2359 4865 2347 4865 2358 4865 2351 4866 2357 4866 2347 4866 2359 4867 2356 4867 2347 4867 2353 4868 2360 4868 2358 4868 2361 4869 2358 4869 2360 4869 2362 4870 2353 4870 2358 4870 2363 4871 2362 4871 2358 4871 2357 4872 2363 4872 2358 4872 2359 4873 2358 4873 2361 4873 2364 4874 2360 4874 2353 4874 2364 4875 2361 4875 2360 4875 2362 4876 2352 4876 2353 4876 2354 4877 2364 4877 2353 4877 2365 4878 2355 4878 2352 4878 2366 4879 2351 4879 2355 4879 2365 4880 2366 4880 2355 4880 2367 4881 2352 4881 2362 4881 2365 4882 2352 4882 2367 4882 2368 4883 2362 4883 2363 4883 2367 4884 2362 4884 2368 4884 2369 4885 2363 4885 2357 4885 2368 4886 2363 4886 2369 4886 2370 4887 2357 4887 2351 4887 2369 4888 2357 4888 2370 4888 2370 4889 2351 4889 2366 4889 2371 4890 2361 4890 2364 4890 2372 4891 2361 4891 2371 4891 2372 4892 2359 4892 2361 4892 2373 4893 2364 4893 2354 4893 2374 4894 2371 4894 2364 4894 2373 4895 2374 4895 2364 4895 2375 4896 2354 4896 2350 4896 2375 4897 2373 4897 2354 4897 2376 4898 2375 4898 2350 4898 2356 4899 2376 4899 2350 4899 2377 4900 2371 4900 2374 4900 2378 4901 2371 4901 2377 4901 2372 4902 2371 4902 2378 4902 2377 4903 2374 4903 2373 4903 2379 4904 2373 4904 2375 4904 2379 4905 2377 4905 2373 4905 2379 4906 2375 4906 2376 4906 2380 4907 2379 4907 2376 4907 2381 4908 2380 4908 2376 4908 2381 4909 2376 4909 2356 4909 2382 4910 2377 4910 2379 4910 2382 4911 2383 4911 2377 4911 2378 4912 2377 4912 2383 4912 2384 4913 2379 4913 2380 4913 2384 4914 2382 4914 2379 4914 2384 4915 2380 4915 2385 4915 2378 4916 2385 4916 2380 4916 2386 4917 2378 4917 2380 4917 2386 4918 2380 4918 2381 4918 2378 4919 2383 4919 2385 4919 2387 4920 2385 4920 2383 4920 2388 4921 2384 4921 2385 4921 2387 4922 2388 4922 2385 4922 2389 4923 2383 4923 2382 4923 2389 4924 2387 4924 2383 4924 2390 4925 2382 4925 2384 4925 2389 4926 2382 4926 2390 4926 2388 4927 2390 4927 2384 4927 2372 4928 2378 4928 2386 4928 2387 4929 2390 4929 2388 4929 2389 4930 2390 4930 2387 4930 2386 4931 2356 4931 2359 4931 2386 4932 2381 4932 2356 4932 2372 4933 2386 4933 2359 4933 2369 4934 2370 4934 2366 4934 2365 4935 2369 4935 2366 4935 2365 4936 2368 4936 2369 4936 2365 4937 2367 4937 2368 4937 2391 4938 2392 4938 2393 4938 2394 4939 2393 4939 2392 4939 2395 4940 2391 4940 2393 4940 2396 4941 2393 4941 2397 4941 2398 4942 2397 4942 2393 4942 2396 4943 2399 4943 2393 4943 2395 4944 2393 4944 2399 4944 2394 4945 2398 4945 2393 4945 2400 4946 2392 4946 2391 4946 2400 4947 2394 4947 2392 4947 2401 4948 2402 4948 2391 4948 2403 4949 2391 4949 2402 4949 2395 4950 2401 4950 2391 4950 2403 4951 2400 4951 2391 4951 2397 4952 2404 4952 2402 4952 2405 4953 2402 4953 2404 4953 2406 4954 2397 4954 2402 4954 2407 4955 2406 4955 2402 4955 2401 4956 2407 4956 2402 4956 2403 4957 2402 4957 2405 4957 2408 4958 2404 4958 2397 4958 2408 4959 2405 4959 2404 4959 2406 4960 2396 4960 2397 4960 2398 4961 2408 4961 2397 4961 2409 4962 2399 4962 2396 4962 2410 4963 2395 4963 2399 4963 2409 4964 2410 4964 2399 4964 2411 4965 2396 4965 2406 4965 2409 4966 2396 4966 2411 4966 2412 4967 2406 4967 2407 4967 2411 4968 2406 4968 2412 4968 2413 4969 2407 4969 2401 4969 2412 4970 2407 4970 2413 4970 2414 4971 2401 4971 2395 4971 2413 4972 2401 4972 2414 4972 2414 4973 2395 4973 2410 4973 2415 4974 2405 4974 2408 4974 2416 4975 2405 4975 2415 4975 2416 4976 2403 4976 2405 4976 2417 4977 2408 4977 2398 4977 2418 4978 2415 4978 2408 4978 2417 4979 2418 4979 2408 4979 2419 4980 2398 4980 2394 4980 2419 4981 2417 4981 2398 4981 2420 4982 2419 4982 2394 4982 2400 4983 2420 4983 2394 4983 2421 4984 2415 4984 2418 4984 2422 4985 2415 4985 2421 4985 2416 4986 2415 4986 2422 4986 2421 4987 2418 4987 2417 4987 2423 4988 2417 4988 2419 4988 2423 4989 2421 4989 2417 4989 2423 4990 2419 4990 2420 4990 2424 4991 2423 4991 2420 4991 2425 4992 2424 4992 2420 4992 2425 4993 2420 4993 2400 4993 2426 4994 2421 4994 2423 4994 2426 4995 2427 4995 2421 4995 2422 4996 2421 4996 2427 4996 2428 4997 2423 4997 2424 4997 2428 4998 2426 4998 2423 4998 2428 4999 2424 4999 2429 4999 2422 5000 2429 5000 2424 5000 2430 5001 2422 5001 2424 5001 2430 5002 2424 5002 2425 5002 2422 5003 2427 5003 2429 5003 2431 5004 2429 5004 2427 5004 2432 5005 2428 5005 2429 5005 2431 5006 2432 5006 2429 5006 2433 5007 2427 5007 2426 5007 2433 5008 2431 5008 2427 5008 2434 5009 2426 5009 2428 5009 2433 5010 2426 5010 2434 5010 2432 5011 2434 5011 2428 5011 2416 5012 2422 5012 2430 5012 2431 5013 2434 5013 2432 5013 2433 5014 2434 5014 2431 5014 2430 5015 2400 5015 2403 5015 2430 5016 2425 5016 2400 5016 2416 5017 2430 5017 2403 5017 2413 5018 2414 5018 2410 5018 2409 5019 2413 5019 2410 5019 2409 5020 2412 5020 2413 5020 2409 5021 2411 5021 2412 5021 2435 5022 2436 5022 2437 5022 2438 5023 2437 5023 2436 5023 2439 5024 2435 5024 2437 5024 2440 5025 2437 5025 2441 5025 2442 5026 2441 5026 2437 5026 2440 5027 2443 5027 2437 5027 2439 5028 2437 5028 2443 5028 2438 5029 2442 5029 2437 5029 2444 5030 2436 5030 2435 5030 2444 5031 2438 5031 2436 5031 2445 5032 2446 5032 2435 5032 2447 5033 2435 5033 2446 5033 2439 5034 2445 5034 2435 5034 2447 5035 2444 5035 2435 5035 2441 5036 2448 5036 2446 5036 2449 5037 2446 5037 2448 5037 2450 5038 2441 5038 2446 5038 2451 5039 2450 5039 2446 5039 2445 5040 2451 5040 2446 5040 2447 5041 2446 5041 2449 5041 2452 5042 2448 5042 2441 5042 2452 5043 2449 5043 2448 5043 2450 5044 2440 5044 2441 5044 2442 5045 2452 5045 2441 5045 2453 5046 2443 5046 2440 5046 2454 5047 2439 5047 2443 5047 2453 5048 2454 5048 2443 5048 2455 5049 2440 5049 2450 5049 2453 5050 2440 5050 2455 5050 2456 5051 2450 5051 2451 5051 2455 5052 2450 5052 2456 5052 2457 5053 2451 5053 2445 5053 2456 5054 2451 5054 2457 5054 2458 5055 2445 5055 2439 5055 2457 5056 2445 5056 2458 5056 2458 5057 2439 5057 2454 5057 2459 5058 2449 5058 2452 5058 2460 5059 2449 5059 2459 5059 2460 5060 2447 5060 2449 5060 2461 5061 2452 5061 2442 5061 2462 5062 2459 5062 2452 5062 2461 5063 2462 5063 2452 5063 2463 5064 2442 5064 2438 5064 2463 5065 2461 5065 2442 5065 2464 5066 2463 5066 2438 5066 2444 5067 2464 5067 2438 5067 2465 5068 2459 5068 2462 5068 2466 5069 2459 5069 2465 5069 2460 5070 2459 5070 2466 5070 2465 5071 2462 5071 2461 5071 2467 5072 2461 5072 2463 5072 2467 5073 2465 5073 2461 5073 2467 5074 2463 5074 2464 5074 2468 5075 2467 5075 2464 5075 2469 5076 2468 5076 2464 5076 2469 5077 2464 5077 2444 5077 2470 5078 2465 5078 2467 5078 2470 5079 2471 5079 2465 5079 2466 5080 2465 5080 2471 5080 2472 5081 2467 5081 2468 5081 2472 5082 2470 5082 2467 5082 2472 5083 2468 5083 2473 5083 2466 5084 2473 5084 2468 5084 2474 5085 2466 5085 2468 5085 2474 5086 2468 5086 2469 5086 2466 5087 2471 5087 2473 5087 2475 5088 2473 5088 2471 5088 2476 5089 2472 5089 2473 5089 2475 5090 2476 5090 2473 5090 2477 5091 2471 5091 2470 5091 2477 5092 2475 5092 2471 5092 2478 5093 2470 5093 2472 5093 2477 5094 2470 5094 2478 5094 2476 5095 2478 5095 2472 5095 2460 5096 2466 5096 2474 5096 2475 5097 2478 5097 2476 5097 2477 5098 2478 5098 2475 5098 2474 5099 2444 5099 2447 5099 2474 5100 2469 5100 2444 5100 2460 5101 2474 5101 2447 5101 2457 5102 2458 5102 2454 5102 2453 5103 2457 5103 2454 5103 2453 5104 2456 5104 2457 5104 2453 5105 2455 5105 2456 5105 2479 5106 2480 5106 2481 5106 2482 5107 2481 5107 2480 5107 2483 5108 2479 5108 2481 5108 2484 5109 2481 5109 2485 5109 2486 5110 2485 5110 2481 5110 2484 5111 2487 5111 2481 5111 2483 5112 2481 5112 2487 5112 2482 5113 2486 5113 2481 5113 2488 5114 2480 5114 2479 5114 2488 5115 2482 5115 2480 5115 2489 5116 2490 5116 2479 5116 2491 5117 2479 5117 2490 5117 2483 5118 2489 5118 2479 5118 2491 5119 2488 5119 2479 5119 2485 5120 2492 5120 2490 5120 2493 5121 2490 5121 2492 5121 2494 5122 2485 5122 2490 5122 2495 5123 2494 5123 2490 5123 2489 5124 2495 5124 2490 5124 2491 5125 2490 5125 2493 5125 2496 5126 2492 5126 2485 5126 2496 5127 2493 5127 2492 5127 2494 5128 2484 5128 2485 5128 2486 5129 2496 5129 2485 5129 2497 5130 2487 5130 2484 5130 2498 5131 2483 5131 2487 5131 2497 5132 2498 5132 2487 5132 2499 5133 2484 5133 2494 5133 2497 5134 2484 5134 2499 5134 2500 5135 2494 5135 2495 5135 2499 5136 2494 5136 2500 5136 2501 5137 2495 5137 2489 5137 2500 5138 2495 5138 2501 5138 2502 5139 2489 5139 2483 5139 2501 5140 2489 5140 2502 5140 2502 5141 2483 5141 2498 5141 2503 5142 2493 5142 2496 5142 2504 5143 2493 5143 2503 5143 2504 5144 2491 5144 2493 5144 2505 5145 2496 5145 2486 5145 2506 5146 2503 5146 2496 5146 2505 5147 2506 5147 2496 5147 2507 5148 2486 5148 2482 5148 2507 5149 2505 5149 2486 5149 2508 5150 2507 5150 2482 5150 2488 5151 2508 5151 2482 5151 2509 5152 2503 5152 2506 5152 2510 5153 2503 5153 2509 5153 2504 5154 2503 5154 2510 5154 2509 5155 2506 5155 2505 5155 2511 5156 2505 5156 2507 5156 2511 5157 2509 5157 2505 5157 2511 5158 2507 5158 2508 5158 2512 5159 2511 5159 2508 5159 2513 5160 2512 5160 2508 5160 2513 5161 2508 5161 2488 5161 2514 5162 2509 5162 2511 5162 2514 5163 2515 5163 2509 5163 2510 5164 2509 5164 2515 5164 2516 5165 2511 5165 2512 5165 2516 5166 2514 5166 2511 5166 2516 5167 2512 5167 2517 5167 2510 5168 2517 5168 2512 5168 2518 5169 2510 5169 2512 5169 2518 5170 2512 5170 2513 5170 2510 5171 2515 5171 2517 5171 2519 5172 2517 5172 2515 5172 2520 5173 2516 5173 2517 5173 2519 5174 2520 5174 2517 5174 2521 5175 2515 5175 2514 5175 2521 5176 2519 5176 2515 5176 2522 5177 2514 5177 2516 5177 2521 5178 2514 5178 2522 5178 2520 5179 2522 5179 2516 5179 2504 5180 2510 5180 2518 5180 2519 5181 2522 5181 2520 5181 2521 5182 2522 5182 2519 5182 2518 5183 2488 5183 2491 5183 2518 5184 2513 5184 2488 5184 2504 5185 2518 5185 2491 5185 2501 5186 2502 5186 2498 5186 2497 5187 2501 5187 2498 5187 2497 5188 2500 5188 2501 5188 2497 5189 2499 5189 2500 5189 2523 5190 2524 5190 2525 5190 2526 5191 2525 5191 2524 5191 2527 5192 2523 5192 2525 5192 2528 5193 2525 5193 2529 5193 2530 5194 2529 5194 2525 5194 2528 5195 2531 5195 2525 5195 2527 5196 2525 5196 2531 5196 2526 5197 2530 5197 2525 5197 2532 5198 2524 5198 2523 5198 2532 5199 2526 5199 2524 5199 2533 5200 2534 5200 2523 5200 2535 5201 2523 5201 2534 5201 2527 5202 2533 5202 2523 5202 2535 5203 2532 5203 2523 5203 2529 5204 2536 5204 2534 5204 2537 5205 2534 5205 2536 5205 2538 5206 2529 5206 2534 5206 2539 5207 2538 5207 2534 5207 2533 5208 2539 5208 2534 5208 2535 5209 2534 5209 2537 5209 2540 5210 2536 5210 2529 5210 2540 5211 2537 5211 2536 5211 2538 5212 2528 5212 2529 5212 2530 5213 2540 5213 2529 5213 2541 5214 2531 5214 2528 5214 2542 5215 2527 5215 2531 5215 2541 5216 2542 5216 2531 5216 2543 5217 2528 5217 2538 5217 2541 5218 2528 5218 2543 5218 2544 5219 2538 5219 2539 5219 2543 5220 2538 5220 2544 5220 2545 5221 2539 5221 2533 5221 2544 5222 2539 5222 2545 5222 2546 5223 2533 5223 2527 5223 2545 5224 2533 5224 2546 5224 2546 5225 2527 5225 2542 5225 2547 5226 2537 5226 2540 5226 2548 5227 2537 5227 2547 5227 2548 5228 2535 5228 2537 5228 2549 5229 2540 5229 2530 5229 2550 5230 2547 5230 2540 5230 2549 5231 2550 5231 2540 5231 2551 5232 2530 5232 2526 5232 2551 5233 2549 5233 2530 5233 2552 5234 2551 5234 2526 5234 2532 5235 2552 5235 2526 5235 2553 5236 2547 5236 2550 5236 2554 5237 2547 5237 2553 5237 2548 5238 2547 5238 2554 5238 2553 5239 2550 5239 2549 5239 2555 5240 2549 5240 2551 5240 2555 5241 2553 5241 2549 5241 2555 5242 2551 5242 2552 5242 2556 5243 2555 5243 2552 5243 2557 5244 2556 5244 2552 5244 2557 5245 2552 5245 2532 5245 2558 5246 2553 5246 2555 5246 2558 5247 2559 5247 2553 5247 2554 5248 2553 5248 2559 5248 2560 5249 2555 5249 2556 5249 2560 5250 2558 5250 2555 5250 2560 5251 2556 5251 2561 5251 2554 5252 2561 5252 2556 5252 2562 5253 2554 5253 2556 5253 2562 5254 2556 5254 2557 5254 2554 5255 2559 5255 2561 5255 2563 5256 2561 5256 2559 5256 2564 5257 2560 5257 2561 5257 2563 5258 2564 5258 2561 5258 2565 5259 2559 5259 2558 5259 2565 5260 2563 5260 2559 5260 2566 5261 2558 5261 2560 5261 2565 5262 2558 5262 2566 5262 2564 5263 2566 5263 2560 5263 2548 5264 2554 5264 2562 5264 2563 5265 2566 5265 2564 5265 2565 5266 2566 5266 2563 5266 2562 5267 2532 5267 2535 5267 2562 5268 2557 5268 2532 5268 2548 5269 2562 5269 2535 5269 2545 5270 2546 5270 2542 5270 2541 5271 2545 5271 2542 5271 2541 5272 2544 5272 2545 5272 2541 5273 2543 5273 2544 5273 2567 5274 2568 5274 2569 5274 2570 5275 2569 5275 2568 5275 2571 5276 2567 5276 2569 5276 2572 5277 2569 5277 2573 5277 2574 5278 2573 5278 2569 5278 2572 5279 2571 5279 2569 5279 2570 5280 2574 5280 2569 5280 2575 5281 2568 5281 2567 5281 2570 5282 2568 5282 2575 5282 2571 5283 2576 5283 2567 5283 2577 5284 2567 5284 2576 5284 2575 5285 2567 5285 2577 5285 2578 5286 2579 5286 2576 5286 2580 5287 2576 5287 2579 5287 2581 5288 2576 5288 2571 5288 2582 5289 2578 5289 2576 5289 2581 5290 2582 5290 2576 5290 2577 5291 2576 5291 2580 5291 2583 5292 2584 5292 2579 5292 2585 5293 2579 5293 2584 5293 2586 5294 2583 5294 2579 5294 2578 5295 2586 5295 2579 5295 2580 5296 2579 5296 2585 5296 2587 5297 2584 5297 2583 5297 2585 5298 2584 5298 2587 5298 2586 5299 2573 5299 2583 5299 2588 5300 2583 5300 2573 5300 2587 5301 2583 5301 2588 5301 2589 5302 2572 5302 2573 5302 2590 5303 2589 5303 2573 5303 2586 5304 2590 5304 2573 5304 2588 5305 2573 5305 2574 5305 2591 5306 2571 5306 2572 5306 2592 5307 2581 5307 2571 5307 2592 5308 2571 5308 2591 5308 2593 5309 2572 5309 2589 5309 2593 5310 2591 5310 2572 5310 2594 5311 2589 5311 2590 5311 2593 5312 2589 5312 2594 5312 2595 5313 2590 5313 2586 5313 2594 5314 2590 5314 2595 5314 2596 5315 2586 5315 2578 5315 2595 5316 2586 5316 2596 5316 2597 5317 2578 5317 2582 5317 2596 5318 2578 5318 2597 5318 2598 5319 2582 5319 2581 5319 2597 5320 2582 5320 2598 5320 2598 5321 2581 5321 2592 5321 2570 5322 2588 5322 2574 5322 2570 5323 2587 5323 2588 5323 2575 5324 2585 5324 2587 5324 2570 5325 2575 5325 2587 5325 2577 5326 2580 5326 2585 5326 2575 5327 2577 5327 2585 5327 2595 5328 2592 5328 2591 5328 2594 5329 2595 5329 2591 5329 2593 5330 2594 5330 2591 5330 2596 5331 2598 5331 2592 5331 2595 5332 2596 5332 2592 5332 2596 5333 2597 5333 2598 5333 2599 5334 2600 5334 2601 5334 2602 5335 2601 5335 2600 5335 2599 5336 2601 5336 2603 5336 2604 5337 2603 5337 2601 5337 2602 5338 2604 5338 2601 5338 2599 5339 2605 5339 2600 5339 2606 5340 2600 5340 2605 5340 2606 5341 2602 5341 2600 5341 2607 5342 2608 5342 2605 5342 2609 5343 2605 5343 2608 5343 2610 5344 2607 5344 2605 5344 2599 5345 2610 5345 2605 5345 2606 5346 2605 5346 2609 5346 2611 5347 2612 5347 2608 5347 2613 5348 2608 5348 2612 5348 2611 5349 2608 5349 2607 5349 2609 5350 2608 5350 2613 5350 2614 5351 2603 5351 2612 5351 2615 5352 2612 5352 2603 5352 2614 5353 2612 5353 2611 5353 2615 5354 2613 5354 2612 5354 2616 5355 2603 5355 2614 5355 2616 5356 2599 5356 2603 5356 2604 5357 2615 5357 2603 5357 2617 5358 2607 5358 2610 5358 2618 5359 2611 5359 2607 5359 2617 5360 2618 5360 2607 5360 2599 5361 2619 5361 2610 5361 2620 5362 2610 5362 2619 5362 2620 5363 2617 5363 2610 5363 2614 5364 2621 5364 2619 5364 2622 5365 2619 5365 2621 5365 2623 5366 2614 5366 2619 5366 2599 5367 2623 5367 2619 5367 2620 5368 2619 5368 2622 5368 2614 5369 2624 5369 2621 5369 2625 5370 2621 5370 2624 5370 2622 5371 2621 5371 2625 5371 2614 5372 2611 5372 2624 5372 2626 5373 2624 5373 2611 5373 2626 5374 2625 5374 2624 5374 2618 5375 2626 5375 2611 5375 2627 5376 2628 5376 2629 5376 2630 5377 2629 5377 2628 5377 2631 5378 2629 5378 2632 5378 2633 5379 2632 5379 2629 5379 2634 5380 2627 5380 2629 5380 2631 5381 2634 5381 2629 5381 2630 5382 2633 5382 2629 5382 2627 5383 2635 5383 2628 5383 2636 5384 2628 5384 2635 5384 2636 5385 2630 5385 2628 5385 2637 5386 2638 5386 2635 5386 2639 5387 2635 5387 2638 5387 2640 5388 2637 5388 2635 5388 2641 5389 2640 5389 2635 5389 2627 5390 2641 5390 2635 5390 2636 5391 2635 5391 2639 5391 2642 5392 2643 5392 2638 5392 2644 5393 2638 5393 2643 5393 2642 5394 2638 5394 2637 5394 2639 5395 2638 5395 2644 5395 2645 5396 2632 5396 2643 5396 2646 5397 2643 5397 2632 5397 2645 5398 2643 5398 2642 5398 2646 5399 2644 5399 2643 5399 2647 5400 2631 5400 2632 5400 2645 5401 2647 5401 2632 5401 2633 5402 2646 5402 2632 5402 2648 5403 2637 5403 2640 5403 2649 5404 2642 5404 2637 5404 2648 5405 2649 5405 2637 5405 2641 5406 2650 5406 2640 5406 2651 5407 2640 5407 2650 5407 2651 5408 2648 5408 2640 5408 2652 5409 2653 5409 2650 5409 2654 5410 2650 5410 2653 5410 2641 5411 2655 5411 2650 5411 2652 5412 2650 5412 2655 5412 2651 5413 2650 5413 2654 5413 2652 5414 2656 5414 2653 5414 2657 5415 2653 5415 2656 5415 2654 5416 2653 5416 2657 5416 2645 5417 2642 5417 2656 5417 2658 5418 2656 5418 2642 5418 2645 5419 2656 5419 2652 5419 2658 5420 2657 5420 2656 5420 2649 5421 2658 5421 2642 5421 2659 5422 2660 5422 2661 5422 2662 5423 2661 5423 2660 5423 2659 5424 2661 5424 2663 5424 2664 5425 2663 5425 2661 5425 2665 5426 2661 5426 2662 5426 2664 5427 2661 5427 2665 5427 2659 5428 2666 5428 2660 5428 2662 5429 2660 5429 2666 5429 2659 5430 2667 5430 2666 5430 2668 5431 2666 5431 2667 5431 2662 5432 2666 5432 2668 5432 2669 5433 2670 5433 2667 5433 2671 5434 2667 5434 2670 5434 2659 5435 2669 5435 2667 5435 2668 5436 2667 5436 2671 5436 2672 5437 2673 5437 2670 5437 2674 5438 2670 5438 2673 5438 2669 5439 2672 5439 2670 5439 2671 5440 2670 5440 2674 5440 2675 5441 2676 5441 2673 5441 2677 5442 2673 5442 2676 5442 2672 5443 2675 5443 2673 5443 2674 5444 2673 5444 2677 5444 2675 5445 2678 5445 2676 5445 2679 5446 2676 5446 2678 5446 2680 5447 2676 5447 2679 5447 2677 5448 2676 5448 2680 5448 2675 5449 2681 5449 2678 5449 2679 5450 2678 5450 2681 5450 2675 5451 2682 5451 2681 5451 2683 5452 2681 5452 2682 5452 2679 5453 2681 5453 2683 5453 2675 5454 2684 5454 2682 5454 2685 5455 2682 5455 2684 5455 2683 5456 2682 5456 2685 5456 2686 5457 2663 5457 2684 5457 2687 5458 2684 5458 2663 5458 2686 5459 2684 5459 2675 5459 2685 5460 2684 5460 2687 5460 2686 5461 2659 5461 2663 5461 2664 5462 2687 5462 2663 5462 2616 5463 2688 5463 2689 5463 2690 5464 2689 5464 2688 5464 2616 5465 2689 5465 2691 5465 2692 5466 2691 5466 2689 5466 2692 5467 2689 5467 2690 5467 2614 5468 2693 5468 2688 5468 2694 5469 2688 5469 2693 5469 2616 5470 2614 5470 2688 5470 2690 5471 2688 5471 2694 5471 2614 5472 2695 5472 2693 5472 2696 5473 2693 5473 2695 5473 2694 5474 2693 5474 2696 5474 2652 5475 2697 5475 2695 5475 2698 5476 2695 5476 2697 5476 2614 5477 2652 5477 2695 5477 2699 5478 2695 5478 2698 5478 2696 5479 2695 5479 2699 5479 2652 5480 2700 5480 2697 5480 2698 5481 2697 5481 2700 5481 2652 5482 2655 5482 2700 5482 2701 5483 2700 5483 2655 5483 2698 5484 2700 5484 2701 5484 2702 5485 2655 5485 2641 5485 2701 5486 2655 5486 2702 5486 2703 5487 2641 5487 2627 5487 2702 5488 2641 5488 2703 5488 2704 5489 2627 5489 2634 5489 2703 5490 2627 5490 2704 5490 2616 5491 2705 5491 2634 5491 2706 5492 2634 5492 2705 5492 2631 5493 2616 5493 2634 5493 2707 5494 2634 5494 2706 5494 2704 5495 2634 5495 2707 5495 2616 5496 2691 5496 2705 5496 2706 5497 2705 5497 2691 5497 2692 5498 2706 5498 2691 5498 2708 5499 2652 5499 2614 5499 2709 5500 2645 5500 2652 5500 2709 5501 2652 5501 2708 5501 2710 5502 2614 5502 2623 5502 2708 5503 2614 5503 2710 5503 2711 5504 2712 5504 2623 5504 2713 5505 2623 5505 2712 5505 2599 5506 2711 5506 2623 5506 2710 5507 2623 5507 2713 5507 2714 5508 2712 5508 2711 5508 2713 5509 2712 5509 2714 5509 2715 5510 2711 5510 2599 5510 2714 5511 2711 5511 2715 5511 2716 5512 2599 5512 2616 5512 2715 5513 2599 5513 2716 5513 2717 5514 2616 5514 2631 5514 2716 5515 2616 5515 2717 5515 2718 5516 2631 5516 2647 5516 2719 5517 2631 5517 2718 5517 2720 5518 2717 5518 2631 5518 2721 5519 2720 5519 2631 5519 2722 5520 2721 5520 2631 5520 2723 5521 2722 5521 2631 5521 2719 5522 2723 5522 2631 5522 2724 5523 2725 5523 2647 5523 2726 5524 2647 5524 2725 5524 2727 5525 2724 5525 2647 5525 2728 5526 2727 5526 2647 5526 2645 5527 2728 5527 2647 5527 2718 5528 2647 5528 2726 5528 2729 5529 2725 5529 2724 5529 2726 5530 2725 5530 2729 5530 2730 5531 2731 5531 2724 5531 2732 5532 2724 5532 2731 5532 2727 5533 2730 5533 2724 5533 2729 5534 2724 5534 2732 5534 2686 5535 2675 5535 2731 5535 2733 5536 2731 5536 2675 5536 2730 5537 2686 5537 2731 5537 2734 5538 2731 5538 2733 5538 2732 5539 2731 5539 2734 5539 2735 5540 2675 5540 2672 5540 2736 5541 2733 5541 2675 5541 2737 5542 2675 5542 2735 5542 2736 5543 2675 5543 2737 5543 2669 5544 2738 5544 2672 5544 2735 5545 2672 5545 2738 5545 2739 5546 2740 5546 2738 5546 2741 5547 2738 5547 2740 5547 2669 5548 2739 5548 2738 5548 2741 5549 2735 5549 2738 5549 2742 5550 2740 5550 2739 5550 2742 5551 2743 5551 2740 5551 2744 5552 2740 5552 2743 5552 2741 5553 2740 5553 2744 5553 2745 5554 2739 5554 2669 5554 2746 5555 2747 5555 2739 5555 2748 5556 2739 5556 2747 5556 2749 5557 2746 5557 2739 5557 2750 5558 2749 5558 2739 5558 2745 5559 2750 5559 2739 5559 2751 5560 2752 5560 2739 5560 2753 5561 2739 5561 2752 5561 2748 5562 2751 5562 2739 5562 2754 5563 2739 5563 2753 5563 2754 5564 2755 5564 2739 5564 2756 5565 2739 5565 2755 5565 2757 5566 2739 5566 2756 5566 2757 5567 2742 5567 2739 5567 2758 5568 2669 5568 2659 5568 2758 5569 2745 5569 2669 5569 2759 5570 2659 5570 2686 5570 2760 5571 2761 5571 2659 5571 2758 5572 2659 5572 2761 5572 2762 5573 2760 5573 2659 5573 2763 5574 2762 5574 2659 5574 2759 5575 2763 5575 2659 5575 2759 5576 2686 5576 2730 5576 2764 5577 2730 5577 2727 5577 2765 5578 2730 5578 2764 5578 2766 5579 2730 5579 2765 5579 2766 5580 2759 5580 2730 5580 2767 5581 2727 5581 2728 5581 2764 5582 2727 5582 2767 5582 2768 5583 2728 5583 2645 5583 2767 5584 2728 5584 2768 5584 2709 5585 2768 5585 2645 5585 2717 5586 2769 5586 2770 5586 2771 5587 2770 5587 2769 5587 2716 5588 2770 5588 2772 5588 2773 5589 2772 5589 2770 5589 2716 5590 2717 5590 2770 5590 2773 5591 2770 5591 2771 5591 2718 5592 2774 5592 2769 5592 2775 5593 2769 5593 2774 5593 2717 5594 2718 5594 2769 5594 2775 5595 2771 5595 2769 5595 2776 5596 2777 5596 2774 5596 2778 5597 2774 5597 2777 5597 2779 5598 2776 5598 2774 5598 2718 5599 2779 5599 2774 5599 2775 5600 2774 5600 2778 5600 2780 5601 2781 5601 2777 5601 2782 5602 2777 5602 2781 5602 2780 5603 2777 5603 2776 5603 2778 5604 2777 5604 2782 5604 2714 5605 2772 5605 2781 5605 2783 5606 2781 5606 2772 5606 2714 5607 2781 5607 2780 5607 2782 5608 2781 5608 2783 5608 2715 5609 2716 5609 2772 5609 2714 5610 2715 5610 2772 5610 2783 5611 2772 5611 2773 5611 2784 5612 2776 5612 2779 5612 2785 5613 2780 5613 2776 5613 2785 5614 2776 5614 2784 5614 2718 5615 2786 5615 2779 5615 2787 5616 2779 5616 2786 5616 2787 5617 2784 5617 2779 5617 2710 5618 2788 5618 2786 5618 2789 5619 2786 5619 2788 5619 2718 5620 2790 5620 2786 5620 2710 5621 2786 5621 2790 5621 2787 5622 2786 5622 2789 5622 2713 5623 2791 5623 2788 5623 2792 5624 2788 5624 2791 5624 2710 5625 2713 5625 2788 5625 2789 5626 2788 5626 2792 5626 2714 5627 2780 5627 2791 5627 2793 5628 2791 5628 2780 5628 2713 5629 2714 5629 2791 5629 2792 5630 2791 5630 2793 5630 2793 5631 2780 5631 2785 5631 2709 5632 2767 5632 2768 5632 2794 5633 2764 5633 2767 5633 2709 5634 2794 5634 2767 5634 2794 5635 2765 5635 2764 5635 2795 5636 2765 5636 2794 5636 2766 5637 2765 5637 2795 5637 2709 5638 2796 5638 2794 5638 2797 5639 2794 5639 2796 5639 2798 5640 2794 5640 2797 5640 2795 5641 2794 5641 2798 5641 2708 5642 2799 5642 2796 5642 2797 5643 2796 5643 2799 5643 2709 5644 2708 5644 2796 5644 2710 5645 2800 5645 2799 5645 2801 5646 2799 5646 2800 5646 2708 5647 2710 5647 2799 5647 2797 5648 2799 5648 2801 5648 2710 5649 2802 5649 2800 5649 2803 5650 2800 5650 2802 5650 2801 5651 2800 5651 2803 5651 2804 5652 2805 5652 2802 5652 2806 5653 2802 5653 2805 5653 2807 5654 2804 5654 2802 5654 2710 5655 2807 5655 2802 5655 2803 5656 2802 5656 2806 5656 2808 5657 2809 5657 2805 5657 2810 5658 2805 5658 2809 5658 2804 5659 2808 5659 2805 5659 2806 5660 2805 5660 2810 5660 2811 5661 2812 5661 2809 5661 2798 5662 2809 5662 2812 5662 2808 5663 2811 5663 2809 5663 2798 5664 2810 5664 2809 5664 2813 5665 2812 5665 2811 5665 2795 5666 2812 5666 2813 5666 2795 5667 2798 5667 2812 5667 2814 5668 2811 5668 2808 5668 2815 5669 2811 5669 2814 5669 2813 5670 2811 5670 2815 5670 2814 5671 2808 5671 2804 5671 2816 5672 2804 5672 2807 5672 2814 5673 2804 5673 2816 5673 2710 5674 2790 5674 2807 5674 2817 5675 2807 5675 2790 5675 2816 5676 2807 5676 2817 5676 2718 5677 2818 5677 2790 5677 2819 5678 2790 5678 2818 5678 2817 5679 2790 5679 2819 5679 2718 5680 2820 5680 2818 5680 2821 5681 2818 5681 2820 5681 2819 5682 2818 5682 2821 5682 2733 5683 2822 5683 2820 5683 2815 5684 2820 5684 2822 5684 2734 5685 2733 5685 2820 5685 2732 5686 2734 5686 2820 5686 2729 5687 2732 5687 2820 5687 2726 5688 2729 5688 2820 5688 2718 5689 2726 5689 2820 5689 2815 5690 2821 5690 2820 5690 2736 5691 2822 5691 2733 5691 2813 5692 2815 5692 2822 5692 2736 5693 2813 5693 2822 5693 2823 5694 2718 5694 2717 5694 2719 5695 2718 5695 2823 5695 2824 5696 2823 5696 2717 5696 2825 5697 2824 5697 2717 5697 2720 5698 2825 5698 2717 5698 2826 5699 2823 5699 2824 5699 2827 5700 2719 5700 2823 5700 2827 5701 2823 5701 2826 5701 2828 5702 2824 5702 2825 5702 2826 5703 2824 5703 2828 5703 2829 5704 2825 5704 2720 5704 2828 5705 2825 5705 2829 5705 2830 5706 2720 5706 2721 5706 2829 5707 2720 5707 2830 5707 2831 5708 2721 5708 2722 5708 2830 5709 2721 5709 2831 5709 2832 5710 2722 5710 2723 5710 2832 5711 2831 5711 2722 5711 2833 5712 2723 5712 2719 5712 2832 5713 2723 5713 2833 5713 2833 5714 2719 5714 2827 5714 2834 5715 2747 5715 2746 5715 2835 5716 2747 5716 2836 5716 2837 5717 2836 5717 2747 5717 2835 5718 2748 5718 2747 5718 2837 5719 2747 5719 2834 5719 2838 5720 2746 5720 2749 5720 2838 5721 2834 5721 2746 5721 2839 5722 2749 5722 2750 5722 2838 5723 2749 5723 2839 5723 2745 5724 2840 5724 2750 5724 2841 5725 2750 5725 2840 5725 2839 5726 2750 5726 2841 5726 2744 5727 2836 5727 2840 5727 2842 5728 2840 5728 2836 5728 2745 5729 2744 5729 2840 5729 2841 5730 2840 5730 2842 5730 2744 5731 2835 5731 2836 5731 2842 5732 2836 5732 2837 5732 2753 5733 2752 5733 2843 5733 2844 5734 2843 5734 2752 5734 2845 5735 2843 5735 2846 5735 2847 5736 2846 5736 2843 5736 2845 5737 2753 5737 2843 5737 2847 5738 2843 5738 2844 5738 2848 5739 2752 5739 2751 5739 2848 5740 2844 5740 2752 5740 2849 5741 2751 5741 2748 5741 2848 5742 2751 5742 2849 5742 2850 5743 2748 5743 2835 5743 2849 5744 2748 5744 2850 5744 2744 5745 2846 5745 2835 5745 2851 5746 2835 5746 2846 5746 2850 5747 2835 5747 2851 5747 2744 5748 2845 5748 2846 5748 2851 5749 2846 5749 2847 5749 2852 5750 2753 5750 2845 5750 2853 5751 2754 5751 2753 5751 2853 5752 2753 5752 2852 5752 2744 5753 2854 5753 2845 5753 2855 5754 2845 5754 2854 5754 2855 5755 2852 5755 2845 5755 2744 5756 2856 5756 2854 5756 2857 5757 2854 5757 2856 5757 2855 5758 2854 5758 2857 5758 2756 5759 2755 5759 2856 5759 2858 5760 2856 5760 2755 5760 2859 5761 2756 5761 2856 5761 2744 5762 2859 5762 2856 5762 2857 5763 2856 5763 2858 5763 2860 5764 2755 5764 2754 5764 2858 5765 2755 5765 2860 5765 2860 5766 2754 5766 2853 5766 2861 5767 2756 5767 2859 5767 2862 5768 2757 5768 2756 5768 2862 5769 2756 5769 2861 5769 2744 5770 2863 5770 2859 5770 2864 5771 2859 5771 2863 5771 2864 5772 2861 5772 2859 5772 2744 5773 2743 5773 2863 5773 2865 5774 2863 5774 2743 5774 2864 5775 2863 5775 2865 5775 2866 5776 2743 5776 2742 5776 2865 5777 2743 5777 2866 5777 2867 5778 2742 5778 2757 5778 2866 5779 2742 5779 2867 5779 2867 5780 2757 5780 2862 5780 2868 5781 2744 5781 2745 5781 2869 5782 2741 5782 2744 5782 2869 5783 2744 5783 2868 5783 2870 5784 2745 5784 2758 5784 2870 5785 2868 5785 2745 5785 2871 5786 2761 5786 2760 5786 2872 5787 2761 5787 2871 5787 2872 5788 2758 5788 2761 5788 2839 5789 2760 5789 2762 5789 2839 5790 2841 5790 2760 5790 2871 5791 2760 5791 2841 5791 2873 5792 2762 5792 2763 5792 2839 5793 2762 5793 2873 5793 2874 5794 2763 5794 2759 5794 2873 5795 2763 5795 2874 5795 2874 5796 2759 5796 2737 5796 2766 5797 2737 5797 2759 5797 2873 5798 2735 5798 2875 5798 2876 5799 2875 5799 2735 5799 2877 5800 2873 5800 2875 5800 2878 5801 2877 5801 2875 5801 2876 5802 2878 5802 2875 5802 2874 5803 2737 5803 2735 5803 2873 5804 2874 5804 2735 5804 2879 5805 2735 5805 2741 5805 2879 5806 2876 5806 2735 5806 2795 5807 2813 5807 2737 5807 2736 5808 2737 5808 2813 5808 2766 5809 2795 5809 2737 5809 2866 5810 2873 5810 2880 5810 2877 5811 2880 5811 2873 5811 2838 5812 2839 5812 2873 5812 2849 5813 2838 5813 2873 5813 2848 5814 2849 5814 2873 5814 2853 5815 2848 5815 2873 5815 2860 5816 2853 5816 2873 5816 2862 5817 2860 5817 2873 5817 2867 5818 2862 5818 2873 5818 2866 5819 2867 5819 2873 5819 2880 5820 2881 5820 2882 5820 2883 5821 2882 5821 2881 5821 2884 5822 2880 5822 2882 5822 2885 5823 2884 5823 2882 5823 2886 5824 2885 5824 2882 5824 2883 5825 2886 5825 2882 5825 2877 5826 2881 5826 2880 5826 2887 5827 2881 5827 2877 5827 2887 5828 2883 5828 2881 5828 2865 5829 2880 5829 2884 5829 2865 5830 2866 5830 2880 5830 2842 5831 2837 5831 2884 5831 2850 5832 2884 5832 2837 5832 2841 5833 2842 5833 2884 5833 2871 5834 2841 5834 2884 5834 2851 5835 2847 5835 2884 5835 2855 5836 2884 5836 2847 5836 2850 5837 2851 5837 2884 5837 2855 5838 2857 5838 2884 5838 2864 5839 2884 5839 2857 5839 2864 5840 2865 5840 2884 5840 2885 5841 2871 5841 2884 5841 2850 5842 2837 5842 2834 5842 2849 5843 2834 5843 2838 5843 2849 5844 2850 5844 2834 5844 2852 5845 2847 5845 2844 5845 2853 5846 2844 5846 2848 5846 2853 5847 2852 5847 2844 5847 2855 5848 2847 5848 2852 5848 2862 5849 2858 5849 2860 5849 2861 5850 2857 5850 2858 5850 2862 5851 2861 5851 2858 5851 2864 5852 2857 5852 2861 5852 2888 5853 2887 5853 2877 5853 2878 5854 2888 5854 2877 5854 2889 5855 2872 5855 2871 5855 2885 5856 2889 5856 2871 5856 2782 5857 2613 5857 2615 5857 2782 5858 2783 5858 2613 5858 2609 5859 2613 5859 2783 5859 2775 5860 2615 5860 2604 5860 2778 5861 2782 5861 2615 5861 2775 5862 2778 5862 2615 5862 2775 5863 2604 5863 2602 5863 2775 5864 2602 5864 2771 5864 2606 5865 2771 5865 2602 5865 2606 5866 2773 5866 2771 5866 2606 5867 2783 5867 2773 5867 2606 5868 2609 5868 2783 5868 2792 5869 2625 5869 2626 5869 2792 5870 2793 5870 2625 5870 2622 5871 2625 5871 2793 5871 2787 5872 2626 5872 2618 5872 2789 5873 2792 5873 2626 5873 2787 5874 2789 5874 2626 5874 2787 5875 2618 5875 2617 5875 2787 5876 2617 5876 2784 5876 2620 5877 2784 5877 2617 5877 2620 5878 2785 5878 2784 5878 2620 5879 2793 5879 2785 5879 2620 5880 2622 5880 2793 5880 2816 5881 2644 5881 2646 5881 2816 5882 2817 5882 2644 5882 2639 5883 2644 5883 2817 5883 2815 5884 2646 5884 2633 5884 2814 5885 2816 5885 2646 5885 2815 5886 2814 5886 2646 5886 2815 5887 2633 5887 2630 5887 2815 5888 2630 5888 2821 5888 2636 5889 2821 5889 2630 5889 2636 5890 2819 5890 2821 5890 2636 5891 2817 5891 2819 5891 2636 5892 2639 5892 2817 5892 2801 5893 2657 5893 2658 5893 2801 5894 2803 5894 2657 5894 2654 5895 2657 5895 2803 5895 2798 5896 2658 5896 2649 5896 2797 5897 2801 5897 2658 5897 2798 5898 2797 5898 2658 5898 2798 5899 2649 5899 2648 5899 2798 5900 2648 5900 2810 5900 2651 5901 2810 5901 2648 5901 2651 5902 2806 5902 2810 5902 2651 5903 2803 5903 2806 5903 2651 5904 2654 5904 2803 5904 2674 5905 2685 5905 2687 5905 2671 5906 2674 5906 2687 5906 2664 5907 2671 5907 2687 5907 2677 5908 2683 5908 2685 5908 2674 5909 2677 5909 2685 5909 2680 5910 2679 5910 2683 5910 2677 5911 2680 5911 2683 5911 2664 5912 2668 5912 2671 5912 2665 5913 2662 5913 2668 5913 2664 5914 2665 5914 2668 5914 2870 5915 2758 5915 2872 5915 2879 5916 2741 5916 2869 5916 2692 5917 2707 5917 2706 5917 2692 5918 2704 5918 2707 5918 2690 5919 2703 5919 2704 5919 2692 5920 2690 5920 2704 5920 2694 5921 2702 5921 2703 5921 2690 5922 2694 5922 2703 5922 2696 5923 2701 5923 2702 5923 2694 5924 2696 5924 2702 5924 2699 5925 2698 5925 2701 5925 2696 5926 2699 5926 2701 5926 2870 5927 2872 5927 2889 5927 2890 5928 2889 5928 2885 5928 2870 5929 2889 5929 2890 5929 2890 5930 2885 5930 2886 5930 2891 5931 2890 5931 2886 5931 2883 5932 2891 5932 2886 5932 2891 5933 2892 5933 2890 5933 2870 5934 2890 5934 2892 5934 2869 5935 2868 5935 2892 5935 2870 5936 2892 5936 2868 5936 2891 5937 2869 5937 2892 5937 2879 5938 2869 5938 2891 5938 2888 5939 2891 5939 2883 5939 2879 5940 2891 5940 2888 5940 2888 5941 2883 5941 2887 5941 2879 5942 2888 5942 2878 5942 2879 5943 2878 5943 2876 5943 2830 5944 2831 5944 2893 5944 2832 5945 2893 5945 2831 5945 2829 5946 2830 5946 2893 5946 2828 5947 2829 5947 2893 5947 2826 5948 2828 5948 2893 5948 2827 5949 2826 5949 2893 5949 2833 5950 2827 5950 2893 5950 2832 5951 2833 5951 2893 5951 2894 5952 2895 5952 2896 5952 2897 5953 2896 5953 2895 5953 2898 5954 2896 5954 2899 5954 2900 5955 2899 5955 2896 5955 2894 5956 2896 5956 2898 5956 2897 5957 2900 5957 2896 5957 2901 5958 2902 5958 2895 5958 2903 5959 2895 5959 2902 5959 2894 5960 2904 5960 2895 5960 2905 5961 2895 5961 2904 5961 2905 5962 2901 5962 2895 5962 2897 5963 2895 5963 2906 5963 2903 5964 2906 5964 2895 5964 2904 5965 2907 5965 2902 5965 2903 5966 2902 5966 2907 5966 2908 5967 2904 5967 2902 5967 2901 5968 2908 5968 2902 5968 2909 5969 2910 5969 2907 5969 2911 5970 2907 5970 2910 5970 2904 5971 2909 5971 2907 5971 2903 5972 2907 5972 2911 5972 2909 5973 2912 5973 2910 5973 2913 5974 2910 5974 2912 5974 2911 5975 2910 5975 2913 5975 2914 5976 2915 5976 2912 5976 2916 5977 2912 5977 2915 5977 2909 5978 2914 5978 2912 5978 2913 5979 2912 5979 2916 5979 2917 5980 2918 5980 2915 5980 2916 5981 2915 5981 2918 5981 2919 5982 2915 5982 2914 5982 2919 5983 2917 5983 2915 5983 2920 5984 2921 5984 2918 5984 2922 5985 2918 5985 2921 5985 2923 5986 2920 5986 2918 5986 2924 5987 2923 5987 2918 5987 2924 5988 2918 5988 2917 5988 2916 5989 2918 5989 2922 5989 2925 5990 2926 5990 2921 5990 2927 5991 2921 5991 2926 5991 2920 5992 2925 5992 2921 5992 2922 5993 2921 5993 2927 5993 2928 5994 2929 5994 2926 5994 2930 5995 2926 5995 2929 5995 2925 5996 2931 5996 2926 5996 2932 5997 2926 5997 2931 5997 2932 5998 2928 5998 2926 5998 2933 5999 2926 5999 2930 5999 2927 6000 2926 6000 2933 6000 2931 6001 2934 6001 2929 6001 2930 6002 2929 6002 2934 6002 2935 6003 2931 6003 2929 6003 2935 6004 2929 6004 2928 6004 2936 6005 2937 6005 2934 6005 2938 6006 2934 6006 2937 6006 2931 6007 2936 6007 2934 6007 2930 6008 2934 6008 2938 6008 2936 6009 2939 6009 2937 6009 2940 6010 2937 6010 2939 6010 2938 6011 2937 6011 2940 6011 2941 6012 2942 6012 2939 6012 2943 6013 2939 6013 2942 6013 2936 6014 2941 6014 2939 6014 2940 6015 2939 6015 2943 6015 2944 6016 2899 6016 2942 6016 2943 6017 2942 6017 2899 6017 2945 6018 2942 6018 2941 6018 2945 6019 2944 6019 2942 6019 2946 6020 2898 6020 2899 6020 2947 6021 2946 6021 2899 6021 2944 6022 2947 6022 2899 6022 2943 6023 2899 6023 2900 6023 2948 6024 2898 6024 2946 6024 2949 6025 2894 6025 2898 6025 2949 6026 2898 6026 2948 6026 2950 6027 2941 6027 2946 6027 2951 6028 2946 6028 2941 6028 2947 6029 2950 6029 2946 6029 2951 6030 2948 6030 2946 6030 2952 6031 2941 6031 2936 6031 2945 6032 2941 6032 2950 6032 2952 6033 2951 6033 2941 6033 2953 6034 2936 6034 2931 6034 2953 6035 2952 6035 2936 6035 2954 6036 2931 6036 2925 6036 2955 6037 2932 6037 2931 6037 2935 6038 2955 6038 2931 6038 2954 6039 2953 6039 2931 6039 2956 6040 2925 6040 2920 6040 2956 6041 2954 6041 2925 6041 2957 6042 2920 6042 2923 6042 2957 6043 2956 6043 2920 6043 2958 6044 2914 6044 2923 6044 2959 6045 2923 6045 2914 6045 2924 6046 2958 6046 2923 6046 2959 6047 2957 6047 2923 6047 2960 6048 2914 6048 2909 6048 2958 6049 2919 6049 2914 6049 2959 6050 2914 6050 2960 6050 2961 6051 2909 6051 2904 6051 2960 6052 2909 6052 2961 6052 2962 6053 2904 6053 2894 6053 2908 6054 2963 6054 2904 6054 2905 6055 2904 6055 2963 6055 2961 6056 2904 6056 2962 6056 2962 6057 2894 6057 2949 6057 2964 6058 2963 6058 2908 6058 2965 6059 2905 6059 2963 6059 2965 6060 2963 6060 2964 6060 2966 6061 2908 6061 2901 6061 2966 6062 2964 6062 2908 6062 2967 6063 2901 6063 2905 6063 2966 6064 2901 6064 2967 6064 2967 6065 2905 6065 2965 6065 2968 6066 2917 6066 2919 6066 2969 6067 2924 6067 2917 6067 2969 6068 2917 6068 2968 6068 2970 6069 2919 6069 2958 6069 2970 6070 2968 6070 2919 6070 2971 6071 2958 6071 2924 6071 2970 6072 2958 6072 2971 6072 2971 6073 2924 6073 2969 6073 2972 6074 2928 6074 2932 6074 2973 6075 2935 6075 2928 6075 2973 6076 2928 6076 2972 6076 2974 6077 2932 6077 2955 6077 2974 6078 2972 6078 2932 6078 2975 6079 2955 6079 2935 6079 2974 6080 2955 6080 2975 6080 2975 6081 2935 6081 2973 6081 2976 6082 2950 6082 2947 6082 2977 6083 2945 6083 2950 6083 2977 6084 2950 6084 2976 6084 2978 6085 2947 6085 2944 6085 2978 6086 2976 6086 2947 6086 2979 6087 2944 6087 2945 6087 2978 6088 2944 6088 2979 6088 2979 6089 2945 6089 2977 6089 2980 6090 2948 6090 2951 6090 2981 6091 2949 6091 2948 6091 2981 6092 2948 6092 2980 6092 2982 6093 2951 6093 2952 6093 2983 6094 2980 6094 2951 6094 2982 6095 2983 6095 2951 6095 2984 6096 2952 6096 2953 6096 2984 6097 2982 6097 2952 6097 2984 6098 2953 6098 2954 6098 2985 6099 2954 6099 2956 6099 2985 6100 2984 6100 2954 6100 2986 6101 2956 6101 2957 6101 2986 6102 2985 6102 2956 6102 2987 6103 2957 6103 2959 6103 2987 6104 2986 6104 2957 6104 2988 6105 2962 6105 2949 6105 2981 6106 2988 6106 2949 6106 2989 6107 2961 6107 2962 6107 2988 6108 2989 6108 2962 6108 2989 6109 2960 6109 2961 6109 2990 6110 2959 6110 2960 6110 2989 6111 2990 6111 2960 6111 2991 6112 2987 6112 2959 6112 2990 6113 2991 6113 2959 6113 2992 6114 2980 6114 2983 6114 2993 6115 2981 6115 2980 6115 2993 6116 2980 6116 2992 6116 2994 6117 2983 6117 2982 6117 2994 6118 2992 6118 2983 6118 2995 6119 2982 6119 2984 6119 2995 6120 2994 6120 2982 6120 2996 6121 2984 6121 2985 6121 2996 6122 2995 6122 2984 6122 2997 6123 2985 6123 2986 6123 2997 6124 2996 6124 2985 6124 2998 6125 2986 6125 2987 6125 2998 6126 2997 6126 2986 6126 2999 6127 2987 6127 2991 6127 2999 6128 2998 6128 2987 6128 3000 6129 2991 6129 2990 6129 3000 6130 2999 6130 2991 6130 3001 6131 2990 6131 2989 6131 3000 6132 2990 6132 3001 6132 3002 6133 2989 6133 2988 6133 3001 6134 2989 6134 3002 6134 3003 6135 2988 6135 2981 6135 3002 6136 2988 6136 3003 6136 3003 6137 2981 6137 2993 6137 3004 6138 2992 6138 2994 6138 3005 6139 2993 6139 2992 6139 3005 6140 2992 6140 3004 6140 3006 6141 2994 6141 2995 6141 3007 6142 3004 6142 2994 6142 3006 6143 3007 6143 2994 6143 3008 6144 2995 6144 2996 6144 3008 6145 3006 6145 2995 6145 3008 6146 2996 6146 2997 6146 3009 6147 2997 6147 2998 6147 3009 6148 3008 6148 2997 6148 3010 6149 2998 6149 2999 6149 3010 6150 3009 6150 2998 6150 3011 6151 2999 6151 3000 6151 3011 6152 3010 6152 2999 6152 3012 6153 3003 6153 2993 6153 3005 6154 3012 6154 2993 6154 3013 6155 3002 6155 3003 6155 3012 6156 3013 6156 3003 6156 3013 6157 3001 6157 3002 6157 3014 6158 3000 6158 3001 6158 3013 6159 3014 6159 3001 6159 3015 6160 3011 6160 3000 6160 3014 6161 3015 6161 3000 6161 3016 6162 3004 6162 3007 6162 3017 6163 3005 6163 3004 6163 3017 6164 3004 6164 3016 6164 3018 6165 3007 6165 3006 6165 3019 6166 3016 6166 3007 6166 3018 6167 3019 6167 3007 6167 3020 6168 3006 6168 3008 6168 3020 6169 3018 6169 3006 6169 3021 6170 3008 6170 3009 6170 3021 6171 3020 6171 3008 6171 3022 6172 3009 6172 3010 6172 3022 6173 3021 6173 3009 6173 3023 6174 3010 6174 3011 6174 3023 6175 3022 6175 3010 6175 3024 6176 3011 6176 3015 6176 3024 6177 3023 6177 3011 6177 3025 6178 3015 6178 3014 6178 3024 6179 3015 6179 3026 6179 3025 6180 3026 6180 3015 6180 3027 6181 3014 6181 3013 6181 3027 6182 3025 6182 3014 6182 3028 6183 3013 6183 3012 6183 3028 6184 3027 6184 3013 6184 3029 6185 3012 6185 3005 6185 3029 6186 3028 6186 3012 6186 3017 6187 3029 6187 3005 6187 3017 6188 3016 6188 3019 6188 3030 6189 3019 6189 3018 6189 3031 6190 3019 6190 3030 6190 3031 6191 3017 6191 3019 6191 3032 6192 3018 6192 3020 6192 3032 6193 3030 6193 3018 6193 3033 6194 3020 6194 3021 6194 3033 6195 3032 6195 3020 6195 3034 6196 3021 6196 3022 6196 3034 6197 3033 6197 3021 6197 3035 6198 3022 6198 3023 6198 3035 6199 3034 6199 3022 6199 3024 6200 3026 6200 3023 6200 3036 6201 3023 6201 3026 6201 3036 6202 3035 6202 3023 6202 3037 6203 3036 6203 3026 6203 3025 6204 3037 6204 3026 6204 3038 6205 3030 6205 3032 6205 3039 6206 3030 6206 3038 6206 3031 6207 3030 6207 3039 6207 3040 6208 3032 6208 3033 6208 3041 6209 3038 6209 3032 6209 3040 6210 3041 6210 3032 6210 3042 6211 3033 6211 3034 6211 3042 6212 3040 6212 3033 6212 3043 6213 3034 6213 3035 6213 3043 6214 3042 6214 3034 6214 3044 6215 3035 6215 3036 6215 3044 6216 3043 6216 3035 6216 3045 6217 3036 6217 3037 6217 3045 6218 3044 6218 3036 6218 3046 6219 3045 6219 3037 6219 3047 6220 3046 6220 3037 6220 3047 6221 3037 6221 3025 6221 3039 6222 3038 6222 3041 6222 3048 6223 3041 6223 3040 6223 3049 6224 3039 6224 3041 6224 3049 6225 3041 6225 3048 6225 3050 6226 3040 6226 3042 6226 3050 6227 3048 6227 3040 6227 3051 6228 3042 6228 3043 6228 3051 6229 3050 6229 3042 6229 3052 6230 3043 6230 3044 6230 3053 6231 3051 6231 3043 6231 3052 6232 3053 6232 3043 6232 3054 6233 3044 6233 3045 6233 3054 6234 3052 6234 3044 6234 3046 6235 3055 6235 3045 6235 3054 6236 3045 6236 3055 6236 3047 6237 3055 6237 3046 6237 3056 6238 3055 6238 3057 6238 3047 6239 3057 6239 3055 6239 3056 6240 3054 6240 3055 6240 3049 6241 3058 6241 3039 6241 3031 6242 3039 6242 3058 6242 3059 6243 3060 6243 3058 6243 3061 6244 3058 6244 3060 6244 3049 6245 3059 6245 3058 6245 3031 6246 3058 6246 3061 6246 3062 6247 3063 6247 3060 6247 3064 6248 3060 6248 3063 6248 3065 6249 3062 6249 3060 6249 3059 6250 3065 6250 3060 6250 3061 6251 3060 6251 3064 6251 3066 6252 3057 6252 3063 6252 3067 6253 3063 6253 3057 6253 3062 6254 3066 6254 3063 6254 3064 6255 3063 6255 3067 6255 3066 6256 3056 6256 3057 6256 3067 6257 3057 6257 3047 6257 3068 6258 3048 6258 3050 6258 3069 6259 3049 6259 3048 6259 3069 6260 3048 6260 3068 6260 3070 6261 3050 6261 3051 6261 3070 6262 3068 6262 3050 6262 3071 6263 3051 6263 3053 6263 3071 6264 3070 6264 3051 6264 3072 6265 3053 6265 3052 6265 3072 6266 3071 6266 3053 6266 3073 6267 3052 6267 3054 6267 3073 6268 3072 6268 3052 6268 3074 6269 3054 6269 3056 6269 3074 6270 3073 6270 3054 6270 3075 6271 3056 6271 3066 6271 3075 6272 3074 6272 3056 6272 3076 6273 3066 6273 3062 6273 3076 6274 3075 6274 3066 6274 3077 6275 3062 6275 3065 6275 3076 6276 3062 6276 3077 6276 3078 6277 3065 6277 3059 6277 3077 6278 3065 6278 3078 6278 3079 6279 3059 6279 3049 6279 3078 6280 3059 6280 3079 6280 3079 6281 3049 6281 3069 6281 3080 6282 3068 6282 3070 6282 3081 6283 3069 6283 3068 6283 3081 6284 3068 6284 3080 6284 3082 6285 3070 6285 3071 6285 3082 6286 3080 6286 3070 6286 3083 6287 3071 6287 3072 6287 3083 6288 3082 6288 3071 6288 3084 6289 3072 6289 3073 6289 3085 6290 3083 6290 3072 6290 3084 6291 3085 6291 3072 6291 3086 6292 3073 6292 3074 6292 3086 6293 3084 6293 3073 6293 3086 6294 3074 6294 3075 6294 3087 6295 3075 6295 3076 6295 3087 6296 3086 6296 3075 6296 3081 6297 3079 6297 3069 6297 3088 6298 3078 6298 3079 6298 3081 6299 3088 6299 3079 6299 3089 6300 3077 6300 3078 6300 3090 6301 3089 6301 3078 6301 3088 6302 3090 6302 3078 6302 3091 6303 3076 6303 3077 6303 3089 6304 3091 6304 3077 6304 3091 6305 3087 6305 3076 6305 3092 6306 3080 6306 3082 6306 3093 6307 3081 6307 3080 6307 3093 6308 3080 6308 3092 6308 3094 6309 3082 6309 3083 6309 3094 6310 3092 6310 3082 6310 3095 6311 3083 6311 3085 6311 3095 6312 3094 6312 3083 6312 3096 6313 3085 6313 3084 6313 3096 6314 3095 6314 3085 6314 3097 6315 3084 6315 3086 6315 3097 6316 3096 6316 3084 6316 3098 6317 3086 6317 3087 6317 3098 6318 3097 6318 3086 6318 3099 6319 3087 6319 3091 6319 3099 6320 3098 6320 3087 6320 3100 6321 3091 6321 3089 6321 3100 6322 3099 6322 3091 6322 3101 6323 3089 6323 3090 6323 3100 6324 3089 6324 3101 6324 3102 6325 3090 6325 3088 6325 3101 6326 3090 6326 3102 6326 3103 6327 3088 6327 3081 6327 3102 6328 3088 6328 3103 6328 3103 6329 3081 6329 3093 6329 3104 6330 3092 6330 3094 6330 3105 6331 3093 6331 3092 6331 3105 6332 3092 6332 3104 6332 3106 6333 3094 6333 3095 6333 3106 6334 3104 6334 3094 6334 3107 6335 3095 6335 3096 6335 3108 6336 3106 6336 3095 6336 3107 6337 3109 6337 3095 6337 3110 6338 3095 6338 3109 6338 3110 6339 3111 6339 3095 6339 3108 6340 3095 6340 3111 6340 3112 6341 3096 6341 3097 6341 3113 6342 3107 6342 3096 6342 3112 6343 3113 6343 3096 6343 3114 6344 3097 6344 3098 6344 3115 6345 3112 6345 3097 6345 3116 6346 3115 6346 3097 6346 3114 6347 3116 6347 3097 6347 3117 6348 3098 6348 3099 6348 3118 6349 3098 6349 3117 6349 3118 6350 3114 6350 3098 6350 3119 6351 3099 6351 3100 6351 3119 6352 3117 6352 3099 6352 3120 6353 3103 6353 3093 6353 3121 6354 3093 6354 3105 6354 3121 6355 3120 6355 3093 6355 3122 6356 3102 6356 3103 6356 3123 6357 3122 6357 3103 6357 3124 6358 3123 6358 3103 6358 3124 6359 3103 6359 3120 6359 3125 6360 3101 6360 3102 6360 3126 6361 3125 6361 3102 6361 3122 6362 3126 6362 3102 6362 3127 6363 3100 6363 3101 6363 3128 6364 3127 6364 3101 6364 3125 6365 3129 6365 3101 6365 3130 6366 3101 6366 3129 6366 3131 6367 3128 6367 3101 6367 3130 6368 3131 6368 3101 6368 3127 6369 3119 6369 3100 6369 3132 6370 3104 6370 3106 6370 3133 6371 3105 6371 3104 6371 3133 6372 3104 6372 3132 6372 3134 6373 3109 6373 3106 6373 3135 6374 3106 6374 3109 6374 3108 6375 3134 6375 3106 6375 3136 6376 3132 6376 3106 6376 3135 6377 3136 6377 3106 6377 3135 6378 3109 6378 3107 6378 3134 6379 3110 6379 3109 6379 3137 6380 3107 6380 3113 6380 3137 6381 3135 6381 3107 6381 3138 6382 3113 6382 3112 6382 3138 6383 3137 6383 3113 6383 3139 6384 3112 6384 3115 6384 3139 6385 3138 6385 3112 6385 3140 6386 3117 6386 3115 6386 3139 6387 3115 6387 3117 6387 3116 6388 3140 6388 3115 6388 3141 6389 3117 6389 3119 6389 3118 6390 3117 6390 3140 6390 3141 6391 3139 6391 3117 6391 3142 6392 3119 6392 3127 6392 3142 6393 3141 6393 3119 6393 3143 6394 3129 6394 3127 6394 3144 6395 3127 6395 3129 6395 3128 6396 3143 6396 3127 6396 3142 6397 3127 6397 3145 6397 3144 6398 3145 6398 3127 6398 3144 6399 3129 6399 3125 6399 3130 6400 3129 6400 3143 6400 3146 6401 3125 6401 3126 6401 3146 6402 3144 6402 3125 6402 3147 6403 3126 6403 3122 6403 3147 6404 3146 6404 3126 6404 3148 6405 3122 6405 3123 6405 3148 6406 3147 6406 3122 6406 3149 6407 3105 6407 3123 6407 3148 6408 3123 6408 3105 6408 3124 6409 3149 6409 3123 6409 3149 6410 3121 6410 3105 6410 3133 6411 3148 6411 3105 6411 3150 6412 3120 6412 3121 6412 3151 6413 3124 6413 3120 6413 3151 6414 3120 6414 3150 6414 3152 6415 3121 6415 3149 6415 3152 6416 3150 6416 3121 6416 3153 6417 3149 6417 3124 6417 3152 6418 3149 6418 3153 6418 3153 6419 3124 6419 3151 6419 3154 6420 3143 6420 3128 6420 3155 6421 3130 6421 3143 6421 3155 6422 3143 6422 3154 6422 3156 6423 3128 6423 3131 6423 3156 6424 3154 6424 3128 6424 3157 6425 3131 6425 3130 6425 3156 6426 3131 6426 3157 6426 3157 6427 3130 6427 3155 6427 3158 6428 3140 6428 3116 6428 3159 6429 3118 6429 3140 6429 3159 6430 3140 6430 3158 6430 3160 6431 3116 6431 3114 6431 3160 6432 3158 6432 3116 6432 3161 6433 3114 6433 3118 6433 3160 6434 3114 6434 3161 6434 3161 6435 3118 6435 3159 6435 3162 6436 3111 6436 3110 6436 3163 6437 3108 6437 3111 6437 3163 6438 3111 6438 3162 6438 3164 6439 3110 6439 3134 6439 3164 6440 3162 6440 3110 6440 3165 6441 3134 6441 3108 6441 3164 6442 3134 6442 3165 6442 3165 6443 3108 6443 3163 6443 3133 6444 3132 6444 3136 6444 3166 6445 3136 6445 3135 6445 3167 6446 3136 6446 3166 6446 3167 6447 3133 6447 3136 6447 3168 6448 3135 6448 3137 6448 3168 6449 3166 6449 3135 6449 3169 6450 3137 6450 3138 6450 3169 6451 3168 6451 3137 6451 3170 6452 3138 6452 3139 6452 3170 6453 3169 6453 3138 6453 3171 6454 3139 6454 3141 6454 3171 6455 3170 6455 3139 6455 3142 6456 3145 6456 3141 6456 3172 6457 3141 6457 3145 6457 3172 6458 3171 6458 3141 6458 3173 6459 3172 6459 3145 6459 3144 6460 3173 6460 3145 6460 3174 6461 3166 6461 3168 6461 3175 6462 3166 6462 3174 6462 3176 6463 3167 6463 3166 6463 3175 6464 3176 6464 3166 6464 3177 6465 3168 6465 3169 6465 3178 6466 3174 6466 3168 6466 3179 6467 3178 6467 3168 6467 3180 6468 3179 6468 3168 6468 3181 6469 3180 6469 3168 6469 3177 6470 3181 6470 3168 6470 3182 6471 3169 6471 3170 6471 3183 6472 3177 6472 3169 6472 3184 6473 3183 6473 3169 6473 3169 6474 3182 6474 3185 6474 3186 6475 3170 6475 3171 6475 3186 6476 3182 6476 3170 6476 3187 6477 3171 6477 3172 6477 3188 6478 3186 6478 3171 6478 3189 6479 3188 6479 3171 6479 3190 6480 3189 6480 3171 6480 3187 6481 3190 6481 3171 6481 3191 6482 3172 6482 3173 6482 3192 6483 3187 6483 3172 6483 3193 6484 3192 6484 3172 6484 3172 6485 3191 6485 3194 6485 3195 6486 3191 6486 3173 6486 3196 6487 3195 6487 3173 6487 3197 6488 3196 6488 3173 6488 3197 6489 3173 6489 3144 6489 3198 6490 3174 6490 3178 6490 3198 6491 3175 6491 3174 6491 3198 6492 3178 6492 3179 6492 3199 6493 3179 6493 3180 6493 3200 6494 3179 6494 3199 6494 3198 6495 3179 6495 3200 6495 3199 6496 3180 6496 3181 6496 3201 6497 3181 6497 3177 6497 3201 6498 3202 6498 3203 6498 3203 6499 3181 6499 3201 6499 3199 6500 3181 6500 3203 6500 3201 6501 3177 6501 3183 6501 3204 6502 3183 6502 3184 6502 3204 6503 3201 6503 3183 6503 3185 6504 3184 6504 3169 6504 3205 6505 3184 6505 3185 6505 3206 6506 3204 6506 3184 6506 3205 6507 3206 6507 3184 6507 3205 6508 3185 6508 3182 6508 3205 6509 3182 6509 3186 6509 3205 6510 3186 6510 3188 6510 3207 6511 3188 6511 3189 6511 3208 6512 3188 6512 3207 6512 3205 6513 3188 6513 3208 6513 3207 6514 3189 6514 3190 6514 3209 6515 3190 6515 3187 6515 3209 6516 3210 6516 3211 6516 3211 6517 3190 6517 3209 6517 3207 6518 3190 6518 3211 6518 3209 6519 3187 6519 3192 6519 3212 6520 3192 6520 3193 6520 3212 6521 3209 6521 3192 6521 3194 6522 3193 6522 3172 6522 3213 6523 3193 6523 3194 6523 3214 6524 3212 6524 3193 6524 3213 6525 3214 6525 3193 6525 3213 6526 3194 6526 3191 6526 3213 6527 3191 6527 3195 6527 3213 6528 3195 6528 3196 6528 3215 6529 3196 6529 3197 6529 3213 6530 3196 6530 3215 6530 3216 6531 3217 6531 3202 6531 3199 6532 3202 6532 3217 6532 3201 6533 3216 6533 3202 6533 3199 6534 3203 6534 3202 6534 3216 6535 3218 6535 3217 6535 3199 6536 3217 6536 3218 6536 3219 6537 3218 6537 3216 6537 3220 6538 3218 6538 3219 6538 3199 6539 3218 6539 3220 6539 2906 6540 3216 6540 3201 6540 2903 6541 3216 6541 2906 6541 2903 6542 3219 6542 3216 6542 2900 6543 3201 6543 3204 6543 2900 6544 2906 6544 3201 6544 3221 6545 3222 6545 3204 6545 2943 6546 3204 6546 3222 6546 3223 6547 3221 6547 3204 6547 3206 6548 3223 6548 3204 6548 2943 6549 2900 6549 3204 6549 3210 6550 3209 6550 3222 6550 2940 6551 3222 6551 3209 6551 3221 6552 3210 6552 3222 6552 2940 6553 2943 6553 3222 6553 2938 6554 3209 6554 3212 6554 2938 6555 2940 6555 3209 6555 3224 6556 3225 6556 3212 6556 2930 6557 3212 6557 3225 6557 3226 6558 3224 6558 3212 6558 3227 6559 3226 6559 3212 6559 3214 6560 3227 6560 3212 6560 2930 6561 2938 6561 3212 6561 3228 6562 3225 6562 3224 6562 2933 6563 2930 6563 3225 6563 3229 6564 2933 6564 3225 6564 3228 6565 3230 6565 3225 6565 3229 6566 3225 6566 3230 6566 3231 6567 3224 6567 3226 6567 3231 6568 3228 6568 3224 6568 3231 6569 3226 6569 3227 6569 3213 6570 3227 6570 3214 6570 3232 6571 3231 6571 3227 6571 3232 6572 3227 6572 3213 6572 3207 6573 3211 6573 3210 6573 3207 6574 3210 6574 3221 6574 3207 6575 3221 6575 3223 6575 3205 6576 3223 6576 3206 6576 3233 6577 3207 6577 3223 6577 3233 6578 3223 6578 3205 6578 2897 6579 2906 6579 2900 6579 2922 6580 2927 6580 2933 6580 2922 6581 2933 6581 3229 6581 3047 6582 3025 6582 3027 6582 3067 6583 3027 6583 3028 6583 3067 6584 3047 6584 3027 6584 3064 6585 3028 6585 3029 6585 3064 6586 3067 6586 3028 6586 3061 6587 3029 6587 3017 6587 3061 6588 3064 6588 3029 6588 3031 6589 3061 6589 3017 6589 3197 6590 3144 6590 3146 6590 3234 6591 3146 6591 3147 6591 3234 6592 3197 6592 3146 6592 3235 6593 3147 6593 3148 6593 3235 6594 3234 6594 3147 6594 3236 6595 3148 6595 3133 6595 3236 6596 3235 6596 3148 6596 3167 6597 3236 6597 3133 6597 3237 6598 3197 6598 3234 6598 3238 6599 3215 6599 3197 6599 3239 6600 3238 6600 3197 6600 3240 6601 3239 6601 3197 6601 3237 6602 3240 6602 3197 6602 3241 6603 3234 6603 3235 6603 3242 6604 3237 6604 3234 6604 3243 6605 3242 6605 3234 6605 3234 6606 3241 6606 3244 6606 3245 6607 3235 6607 3236 6607 3245 6608 3241 6608 3235 6608 3246 6609 3236 6609 3167 6609 3247 6610 3245 6610 3236 6610 3248 6611 3247 6611 3236 6611 3249 6612 3248 6612 3236 6612 3246 6613 3249 6613 3236 6613 3167 6614 3176 6614 3250 6614 3251 6615 3167 6615 3252 6615 3251 6616 3246 6616 3167 6616 3250 6617 3252 6617 3167 6617 3198 6618 3252 6618 3250 6618 3219 6619 3251 6619 3252 6619 3253 6620 3219 6620 3252 6620 3198 6621 3253 6621 3252 6621 3198 6622 3250 6622 3176 6622 3198 6623 3176 6623 3175 6623 3213 6624 3215 6624 3238 6624 3231 6625 3238 6625 3239 6625 3254 6626 3238 6626 3231 6626 3213 6627 3238 6627 3254 6627 3231 6628 3239 6628 3240 6628 3229 6629 3240 6629 3237 6629 3255 6630 3240 6630 3229 6630 3231 6631 3240 6631 3255 6631 3229 6632 3230 6632 3255 6632 3229 6633 3237 6633 3242 6633 3256 6634 3242 6634 3243 6634 3256 6635 3229 6635 3242 6635 3244 6636 3243 6636 3234 6636 3257 6637 3243 6637 3244 6637 3256 6638 3243 6638 3258 6638 3257 6639 3258 6639 3243 6639 3257 6640 3244 6640 3241 6640 3257 6641 3241 6641 3245 6641 3257 6642 3245 6642 3247 6642 3259 6643 3247 6643 3248 6643 3260 6644 3247 6644 3259 6644 3257 6645 3247 6645 3260 6645 3259 6646 3248 6646 3249 6646 3261 6647 3249 6647 3246 6647 3262 6648 3249 6648 3261 6648 3259 6649 3249 6649 3262 6649 3261 6650 3263 6650 3262 6650 3261 6651 3246 6651 3251 6651 3219 6652 3261 6652 3251 6652 3259 6653 3262 6653 3263 6653 3264 6654 3265 6654 3263 6654 3259 6655 3263 6655 3265 6655 3261 6656 3264 6656 3263 6656 3256 6657 3266 6657 3265 6657 3259 6658 3265 6658 3266 6658 3264 6659 3256 6659 3265 6659 3256 6660 3258 6660 3266 6660 3257 6661 3266 6661 3258 6661 3259 6662 3266 6662 3267 6662 3257 6663 3267 6663 3266 6663 3231 6664 3255 6664 3230 6664 3231 6665 3230 6665 3228 6665 2922 6666 3229 6666 3256 6666 2916 6667 3256 6667 3264 6667 2916 6668 2922 6668 3256 6668 2913 6669 3264 6669 3261 6669 2913 6670 2916 6670 3264 6670 2911 6671 3261 6671 3219 6671 2911 6672 2913 6672 3261 6672 3268 6673 3220 6673 3219 6673 3253 6674 3268 6674 3219 6674 2903 6675 2911 6675 3219 6675 3199 6676 3220 6676 3268 6676 3198 6677 3268 6677 3253 6677 3199 6678 3268 6678 3269 6678 3198 6679 3269 6679 3268 6679 3260 6680 3259 6680 3267 6680 3257 6681 3260 6681 3267 6681 3233 6682 3208 6682 3207 6682 3233 6683 3205 6683 3208 6683 3232 6684 3254 6684 3231 6684 3232 6685 3213 6685 3254 6685 3200 6686 3199 6686 3269 6686 3198 6687 3200 6687 3269 6687 2967 6688 2965 6688 2964 6688 2966 6689 2967 6689 2964 6689 2971 6690 2969 6690 2968 6690 2970 6691 2971 6691 2968 6691 2975 6692 2973 6692 2972 6692 2974 6693 2975 6693 2972 6693 2979 6694 2977 6694 2976 6694 2978 6695 2979 6695 2976 6695 3153 6696 3151 6696 3150 6696 3152 6697 3153 6697 3150 6697 3157 6698 3155 6698 3154 6698 3156 6699 3157 6699 3154 6699 3161 6700 3159 6700 3158 6700 3160 6701 3161 6701 3158 6701 3165 6702 3163 6702 3162 6702 3164 6703 3165 6703 3162 6703 3270 6704 3271 6704 3272 6704 3273 6705 3272 6705 3271 6705 3274 6706 3272 6706 3275 6706 3276 6707 3275 6707 3272 6707 3270 6708 3272 6708 3274 6708 3273 6709 3276 6709 3272 6709 3277 6710 3278 6710 3271 6710 3279 6711 3271 6711 3278 6711 3270 6712 3280 6712 3271 6712 3281 6713 3271 6713 3280 6713 3281 6714 3277 6714 3271 6714 3273 6715 3271 6715 3282 6715 3279 6716 3282 6716 3271 6716 3280 6717 3283 6717 3278 6717 3279 6718 3278 6718 3283 6718 3284 6719 3280 6719 3278 6719 3277 6720 3284 6720 3278 6720 3285 6721 3286 6721 3283 6721 3287 6722 3283 6722 3286 6722 3280 6723 3285 6723 3283 6723 3279 6724 3283 6724 3287 6724 3285 6725 3288 6725 3286 6725 3289 6726 3286 6726 3288 6726 3287 6727 3286 6727 3289 6727 3290 6728 3291 6728 3288 6728 3292 6729 3288 6729 3291 6729 3285 6730 3290 6730 3288 6730 3289 6731 3288 6731 3292 6731 3293 6732 3294 6732 3291 6732 3292 6733 3291 6733 3294 6733 3295 6734 3291 6734 3290 6734 3295 6735 3293 6735 3291 6735 3296 6736 3297 6736 3294 6736 3298 6737 3294 6737 3297 6737 3299 6738 3296 6738 3294 6738 3300 6739 3299 6739 3294 6739 3300 6740 3294 6740 3293 6740 3292 6741 3294 6741 3298 6741 3301 6742 3302 6742 3297 6742 3303 6743 3297 6743 3302 6743 3296 6744 3301 6744 3297 6744 3298 6745 3297 6745 3303 6745 3304 6746 3305 6746 3302 6746 3306 6747 3302 6747 3305 6747 3301 6748 3307 6748 3302 6748 3308 6749 3302 6749 3307 6749 3308 6750 3304 6750 3302 6750 3309 6751 3302 6751 3306 6751 3303 6752 3302 6752 3309 6752 3307 6753 3310 6753 3305 6753 3306 6754 3305 6754 3310 6754 3311 6755 3307 6755 3305 6755 3311 6756 3305 6756 3304 6756 3312 6757 3313 6757 3310 6757 3314 6758 3310 6758 3313 6758 3307 6759 3312 6759 3310 6759 3306 6760 3310 6760 3314 6760 3312 6761 3315 6761 3313 6761 3316 6762 3313 6762 3315 6762 3314 6763 3313 6763 3316 6763 3317 6764 3318 6764 3315 6764 3319 6765 3315 6765 3318 6765 3312 6766 3317 6766 3315 6766 3316 6767 3315 6767 3319 6767 3320 6768 3275 6768 3318 6768 3319 6769 3318 6769 3275 6769 3321 6770 3318 6770 3317 6770 3321 6771 3320 6771 3318 6771 3322 6772 3274 6772 3275 6772 3323 6773 3322 6773 3275 6773 3320 6774 3323 6774 3275 6774 3319 6775 3275 6775 3276 6775 3324 6776 3274 6776 3322 6776 3325 6777 3270 6777 3274 6777 3325 6778 3274 6778 3324 6778 3326 6779 3317 6779 3322 6779 3327 6780 3322 6780 3317 6780 3323 6781 3326 6781 3322 6781 3327 6782 3324 6782 3322 6782 3328 6783 3317 6783 3312 6783 3321 6784 3317 6784 3326 6784 3328 6785 3327 6785 3317 6785 3329 6786 3312 6786 3307 6786 3329 6787 3328 6787 3312 6787 3330 6788 3307 6788 3301 6788 3331 6789 3308 6789 3307 6789 3311 6790 3331 6790 3307 6790 3330 6791 3329 6791 3307 6791 3332 6792 3301 6792 3296 6792 3332 6793 3330 6793 3301 6793 3333 6794 3296 6794 3299 6794 3333 6795 3332 6795 3296 6795 3334 6796 3290 6796 3299 6796 3335 6797 3299 6797 3290 6797 3300 6798 3334 6798 3299 6798 3335 6799 3333 6799 3299 6799 3336 6800 3290 6800 3285 6800 3334 6801 3295 6801 3290 6801 3335 6802 3290 6802 3336 6802 3337 6803 3285 6803 3280 6803 3336 6804 3285 6804 3337 6804 3338 6805 3280 6805 3270 6805 3284 6806 3339 6806 3280 6806 3281 6807 3280 6807 3339 6807 3337 6808 3280 6808 3338 6808 3338 6809 3270 6809 3325 6809 3340 6810 3339 6810 3284 6810 3341 6811 3281 6811 3339 6811 3341 6812 3339 6812 3340 6812 3342 6813 3284 6813 3277 6813 3342 6814 3340 6814 3284 6814 3343 6815 3277 6815 3281 6815 3342 6816 3277 6816 3343 6816 3343 6817 3281 6817 3341 6817 3344 6818 3293 6818 3295 6818 3345 6819 3300 6819 3293 6819 3345 6820 3293 6820 3344 6820 3346 6821 3295 6821 3334 6821 3346 6822 3344 6822 3295 6822 3347 6823 3334 6823 3300 6823 3346 6824 3334 6824 3347 6824 3347 6825 3300 6825 3345 6825 3348 6826 3304 6826 3308 6826 3349 6827 3311 6827 3304 6827 3349 6828 3304 6828 3348 6828 3350 6829 3308 6829 3331 6829 3350 6830 3348 6830 3308 6830 3351 6831 3331 6831 3311 6831 3350 6832 3331 6832 3351 6832 3351 6833 3311 6833 3349 6833 3352 6834 3326 6834 3323 6834 3353 6835 3321 6835 3326 6835 3353 6836 3326 6836 3352 6836 3354 6837 3323 6837 3320 6837 3354 6838 3352 6838 3323 6838 3355 6839 3320 6839 3321 6839 3354 6840 3320 6840 3355 6840 3355 6841 3321 6841 3353 6841 3356 6842 3324 6842 3327 6842 3357 6843 3325 6843 3324 6843 3357 6844 3324 6844 3356 6844 3358 6845 3327 6845 3328 6845 3359 6846 3356 6846 3327 6846 3358 6847 3359 6847 3327 6847 3360 6848 3328 6848 3329 6848 3360 6849 3358 6849 3328 6849 3360 6850 3329 6850 3330 6850 3361 6851 3330 6851 3332 6851 3361 6852 3360 6852 3330 6852 3362 6853 3332 6853 3333 6853 3362 6854 3361 6854 3332 6854 3363 6855 3333 6855 3335 6855 3363 6856 3362 6856 3333 6856 3364 6857 3338 6857 3325 6857 3357 6858 3364 6858 3325 6858 3365 6859 3337 6859 3338 6859 3364 6860 3365 6860 3338 6860 3365 6861 3336 6861 3337 6861 3366 6862 3335 6862 3336 6862 3365 6863 3366 6863 3336 6863 3367 6864 3363 6864 3335 6864 3366 6865 3367 6865 3335 6865 3368 6866 3356 6866 3359 6866 3369 6867 3357 6867 3356 6867 3369 6868 3356 6868 3368 6868 3370 6869 3359 6869 3358 6869 3370 6870 3368 6870 3359 6870 3371 6871 3358 6871 3360 6871 3371 6872 3370 6872 3358 6872 3372 6873 3360 6873 3361 6873 3372 6874 3371 6874 3360 6874 3373 6875 3361 6875 3362 6875 3373 6876 3372 6876 3361 6876 3374 6877 3362 6877 3363 6877 3374 6878 3373 6878 3362 6878 3375 6879 3363 6879 3367 6879 3375 6880 3374 6880 3363 6880 3376 6881 3367 6881 3366 6881 3376 6882 3375 6882 3367 6882 3377 6883 3366 6883 3365 6883 3376 6884 3366 6884 3377 6884 3378 6885 3365 6885 3364 6885 3377 6886 3365 6886 3378 6886 3379 6887 3364 6887 3357 6887 3378 6888 3364 6888 3379 6888 3379 6889 3357 6889 3369 6889 3380 6890 3368 6890 3370 6890 3381 6891 3369 6891 3368 6891 3381 6892 3368 6892 3380 6892 3382 6893 3370 6893 3371 6893 3383 6894 3380 6894 3370 6894 3382 6895 3383 6895 3370 6895 3384 6896 3371 6896 3372 6896 3384 6897 3382 6897 3371 6897 3384 6898 3372 6898 3373 6898 3385 6899 3373 6899 3374 6899 3385 6900 3384 6900 3373 6900 3386 6901 3374 6901 3375 6901 3386 6902 3385 6902 3374 6902 3387 6903 3375 6903 3376 6903 3387 6904 3386 6904 3375 6904 3388 6905 3379 6905 3369 6905 3381 6906 3388 6906 3369 6906 3389 6907 3378 6907 3379 6907 3388 6908 3389 6908 3379 6908 3389 6909 3377 6909 3378 6909 3390 6910 3376 6910 3377 6910 3389 6911 3390 6911 3377 6911 3391 6912 3387 6912 3376 6912 3390 6913 3391 6913 3376 6913 3392 6914 3380 6914 3383 6914 3393 6915 3381 6915 3380 6915 3393 6916 3380 6916 3392 6916 3394 6917 3383 6917 3382 6917 3395 6918 3392 6918 3383 6918 3394 6919 3395 6919 3383 6919 3396 6920 3382 6920 3384 6920 3396 6921 3394 6921 3382 6921 3397 6922 3384 6922 3385 6922 3397 6923 3396 6923 3384 6923 3398 6924 3385 6924 3386 6924 3398 6925 3397 6925 3385 6925 3399 6926 3386 6926 3387 6926 3399 6927 3398 6927 3386 6927 3400 6928 3387 6928 3391 6928 3400 6929 3399 6929 3387 6929 3401 6930 3391 6930 3390 6930 3400 6931 3391 6931 3402 6931 3401 6932 3402 6932 3391 6932 3403 6933 3390 6933 3389 6933 3403 6934 3401 6934 3390 6934 3404 6935 3389 6935 3388 6935 3404 6936 3403 6936 3389 6936 3405 6937 3388 6937 3381 6937 3405 6938 3404 6938 3388 6938 3393 6939 3405 6939 3381 6939 3393 6940 3392 6940 3395 6940 3406 6941 3395 6941 3394 6941 3407 6942 3395 6942 3406 6942 3407 6943 3393 6943 3395 6943 3408 6944 3394 6944 3396 6944 3408 6945 3406 6945 3394 6945 3409 6946 3396 6946 3397 6946 3409 6947 3408 6947 3396 6947 3410 6948 3397 6948 3398 6948 3410 6949 3409 6949 3397 6949 3411 6950 3398 6950 3399 6950 3411 6951 3410 6951 3398 6951 3400 6952 3402 6952 3399 6952 3412 6953 3399 6953 3402 6953 3412 6954 3411 6954 3399 6954 3413 6955 3412 6955 3402 6955 3401 6956 3413 6956 3402 6956 3414 6957 3406 6957 3408 6957 3415 6958 3406 6958 3414 6958 3407 6959 3406 6959 3415 6959 3416 6960 3408 6960 3409 6960 3417 6961 3414 6961 3408 6961 3416 6962 3417 6962 3408 6962 3418 6963 3409 6963 3410 6963 3418 6964 3416 6964 3409 6964 3419 6965 3410 6965 3411 6965 3419 6966 3418 6966 3410 6966 3420 6967 3411 6967 3412 6967 3420 6968 3419 6968 3411 6968 3421 6969 3412 6969 3413 6969 3421 6970 3420 6970 3412 6970 3422 6971 3421 6971 3413 6971 3423 6972 3422 6972 3413 6972 3423 6973 3413 6973 3401 6973 3415 6974 3414 6974 3417 6974 3424 6975 3417 6975 3416 6975 3425 6976 3415 6976 3417 6976 3425 6977 3417 6977 3424 6977 3426 6978 3416 6978 3418 6978 3426 6979 3424 6979 3416 6979 3427 6980 3418 6980 3419 6980 3427 6981 3426 6981 3418 6981 3428 6982 3419 6982 3420 6982 3429 6983 3427 6983 3419 6983 3428 6984 3429 6984 3419 6984 3430 6985 3420 6985 3421 6985 3430 6986 3428 6986 3420 6986 3422 6987 3431 6987 3421 6987 3430 6988 3421 6988 3431 6988 3423 6989 3431 6989 3422 6989 3432 6990 3431 6990 3433 6990 3423 6991 3433 6991 3431 6991 3432 6992 3430 6992 3431 6992 3425 6993 3434 6993 3415 6993 3407 6994 3415 6994 3434 6994 3435 6995 3436 6995 3434 6995 3437 6996 3434 6996 3436 6996 3425 6997 3435 6997 3434 6997 3407 6998 3434 6998 3437 6998 3438 6999 3439 6999 3436 6999 3440 7000 3436 7000 3439 7000 3441 7001 3438 7001 3436 7001 3435 7002 3441 7002 3436 7002 3437 7003 3436 7003 3440 7003 3442 7004 3433 7004 3439 7004 3443 7005 3439 7005 3433 7005 3438 7006 3442 7006 3439 7006 3440 7007 3439 7007 3443 7007 3442 7008 3432 7008 3433 7008 3443 7009 3433 7009 3423 7009 3444 7010 3424 7010 3426 7010 3445 7011 3425 7011 3424 7011 3445 7012 3424 7012 3444 7012 3446 7013 3426 7013 3427 7013 3446 7014 3444 7014 3426 7014 3447 7015 3427 7015 3429 7015 3447 7016 3446 7016 3427 7016 3448 7017 3429 7017 3428 7017 3448 7018 3447 7018 3429 7018 3449 7019 3428 7019 3430 7019 3449 7020 3448 7020 3428 7020 3450 7021 3430 7021 3432 7021 3450 7022 3449 7022 3430 7022 3451 7023 3432 7023 3442 7023 3451 7024 3450 7024 3432 7024 3452 7025 3442 7025 3438 7025 3452 7026 3451 7026 3442 7026 3453 7027 3438 7027 3441 7027 3452 7028 3438 7028 3453 7028 3454 7029 3441 7029 3435 7029 3453 7030 3441 7030 3454 7030 3455 7031 3435 7031 3425 7031 3454 7032 3435 7032 3455 7032 3455 7033 3425 7033 3445 7033 3456 7034 3444 7034 3446 7034 3457 7035 3445 7035 3444 7035 3457 7036 3444 7036 3456 7036 3458 7037 3446 7037 3447 7037 3458 7038 3456 7038 3446 7038 3459 7039 3447 7039 3448 7039 3459 7040 3458 7040 3447 7040 3460 7041 3448 7041 3449 7041 3461 7042 3459 7042 3448 7042 3460 7043 3461 7043 3448 7043 3462 7044 3449 7044 3450 7044 3462 7045 3460 7045 3449 7045 3462 7046 3450 7046 3451 7046 3463 7047 3451 7047 3452 7047 3463 7048 3462 7048 3451 7048 3457 7049 3455 7049 3445 7049 3464 7050 3454 7050 3455 7050 3457 7051 3464 7051 3455 7051 3465 7052 3453 7052 3454 7052 3466 7053 3465 7053 3454 7053 3464 7054 3466 7054 3454 7054 3467 7055 3452 7055 3453 7055 3465 7056 3467 7056 3453 7056 3467 7057 3463 7057 3452 7057 3468 7058 3456 7058 3458 7058 3469 7059 3457 7059 3456 7059 3469 7060 3456 7060 3468 7060 3470 7061 3458 7061 3459 7061 3470 7062 3468 7062 3458 7062 3471 7063 3459 7063 3461 7063 3471 7064 3470 7064 3459 7064 3472 7065 3461 7065 3460 7065 3472 7066 3471 7066 3461 7066 3473 7067 3460 7067 3462 7067 3473 7068 3472 7068 3460 7068 3474 7069 3462 7069 3463 7069 3474 7070 3473 7070 3462 7070 3475 7071 3463 7071 3467 7071 3475 7072 3474 7072 3463 7072 3476 7073 3467 7073 3465 7073 3476 7074 3475 7074 3467 7074 3477 7075 3465 7075 3466 7075 3476 7076 3465 7076 3477 7076 3478 7077 3466 7077 3464 7077 3477 7078 3466 7078 3478 7078 3479 7079 3464 7079 3457 7079 3478 7080 3464 7080 3479 7080 3479 7081 3457 7081 3469 7081 3480 7082 3468 7082 3470 7082 3481 7083 3469 7083 3468 7083 3481 7084 3468 7084 3480 7084 3482 7085 3470 7085 3471 7085 3482 7086 3480 7086 3470 7086 3483 7087 3471 7087 3472 7087 3484 7088 3482 7088 3471 7088 3483 7089 3485 7089 3471 7089 3486 7090 3471 7090 3485 7090 3486 7091 3487 7091 3471 7091 3484 7092 3471 7092 3487 7092 3488 7093 3472 7093 3473 7093 3489 7094 3483 7094 3472 7094 3488 7095 3489 7095 3472 7095 3490 7096 3473 7096 3474 7096 3491 7097 3488 7097 3473 7097 3492 7098 3491 7098 3473 7098 3490 7099 3492 7099 3473 7099 3493 7100 3474 7100 3475 7100 3494 7101 3474 7101 3493 7101 3494 7102 3490 7102 3474 7102 3495 7103 3475 7103 3476 7103 3495 7104 3493 7104 3475 7104 3496 7105 3479 7105 3469 7105 3497 7106 3469 7106 3481 7106 3497 7107 3496 7107 3469 7107 3498 7108 3478 7108 3479 7108 3499 7109 3498 7109 3479 7109 3500 7110 3499 7110 3479 7110 3500 7111 3479 7111 3496 7111 3501 7112 3477 7112 3478 7112 3502 7113 3501 7113 3478 7113 3498 7114 3502 7114 3478 7114 3503 7115 3476 7115 3477 7115 3504 7116 3503 7116 3477 7116 3501 7117 3505 7117 3477 7117 3506 7118 3477 7118 3505 7118 3507 7119 3504 7119 3477 7119 3506 7120 3507 7120 3477 7120 3503 7121 3495 7121 3476 7121 3508 7122 3480 7122 3482 7122 3509 7123 3481 7123 3480 7123 3509 7124 3480 7124 3508 7124 3510 7125 3485 7125 3482 7125 3511 7126 3482 7126 3485 7126 3484 7127 3510 7127 3482 7127 3512 7128 3508 7128 3482 7128 3511 7129 3512 7129 3482 7129 3511 7130 3485 7130 3483 7130 3510 7131 3486 7131 3485 7131 3513 7132 3483 7132 3489 7132 3513 7133 3511 7133 3483 7133 3514 7134 3489 7134 3488 7134 3514 7135 3513 7135 3489 7135 3515 7136 3488 7136 3491 7136 3515 7137 3514 7137 3488 7137 3516 7138 3493 7138 3491 7138 3515 7139 3491 7139 3493 7139 3492 7140 3516 7140 3491 7140 3517 7141 3493 7141 3495 7141 3494 7142 3493 7142 3516 7142 3517 7143 3515 7143 3493 7143 3518 7144 3495 7144 3503 7144 3518 7145 3517 7145 3495 7145 3519 7146 3505 7146 3503 7146 3520 7147 3503 7147 3505 7147 3504 7148 3519 7148 3503 7148 3518 7149 3503 7149 3521 7149 3520 7150 3521 7150 3503 7150 3520 7151 3505 7151 3501 7151 3506 7152 3505 7152 3519 7152 3522 7153 3501 7153 3502 7153 3522 7154 3520 7154 3501 7154 3523 7155 3502 7155 3498 7155 3523 7156 3522 7156 3502 7156 3524 7157 3498 7157 3499 7157 3524 7158 3523 7158 3498 7158 3525 7159 3481 7159 3499 7159 3524 7160 3499 7160 3481 7160 3500 7161 3525 7161 3499 7161 3525 7162 3497 7162 3481 7162 3509 7163 3524 7163 3481 7163 3526 7164 3496 7164 3497 7164 3527 7165 3500 7165 3496 7165 3527 7166 3496 7166 3526 7166 3528 7167 3497 7167 3525 7167 3528 7168 3526 7168 3497 7168 3529 7169 3525 7169 3500 7169 3528 7170 3525 7170 3529 7170 3529 7171 3500 7171 3527 7171 3530 7172 3519 7172 3504 7172 3531 7173 3506 7173 3519 7173 3531 7174 3519 7174 3530 7174 3532 7175 3504 7175 3507 7175 3532 7176 3530 7176 3504 7176 3533 7177 3507 7177 3506 7177 3532 7178 3507 7178 3533 7178 3533 7179 3506 7179 3531 7179 3534 7180 3516 7180 3492 7180 3535 7181 3494 7181 3516 7181 3535 7182 3516 7182 3534 7182 3536 7183 3492 7183 3490 7183 3536 7184 3534 7184 3492 7184 3537 7185 3490 7185 3494 7185 3536 7186 3490 7186 3537 7186 3537 7187 3494 7187 3535 7187 3538 7188 3487 7188 3486 7188 3539 7189 3484 7189 3487 7189 3539 7190 3487 7190 3538 7190 3540 7191 3486 7191 3510 7191 3540 7192 3538 7192 3486 7192 3541 7193 3510 7193 3484 7193 3540 7194 3510 7194 3541 7194 3541 7195 3484 7195 3539 7195 3509 7196 3508 7196 3512 7196 3542 7197 3512 7197 3511 7197 3543 7198 3512 7198 3542 7198 3543 7199 3509 7199 3512 7199 3544 7200 3511 7200 3513 7200 3544 7201 3542 7201 3511 7201 3545 7202 3513 7202 3514 7202 3545 7203 3544 7203 3513 7203 3546 7204 3514 7204 3515 7204 3546 7205 3545 7205 3514 7205 3547 7206 3515 7206 3517 7206 3547 7207 3546 7207 3515 7207 3518 7208 3521 7208 3517 7208 3548 7209 3517 7209 3521 7209 3548 7210 3547 7210 3517 7210 3549 7211 3548 7211 3521 7211 3520 7212 3549 7212 3521 7212 3550 7213 3542 7213 3544 7213 3551 7214 3542 7214 3550 7214 3552 7215 3543 7215 3542 7215 3551 7216 3552 7216 3542 7216 3553 7217 3544 7217 3545 7217 3554 7218 3550 7218 3544 7218 3555 7219 3554 7219 3544 7219 3556 7220 3555 7220 3544 7220 3557 7221 3556 7221 3544 7221 3553 7222 3557 7222 3544 7222 3558 7223 3545 7223 3546 7223 3559 7224 3553 7224 3545 7224 3560 7225 3559 7225 3545 7225 3545 7226 3558 7226 3561 7226 3562 7227 3546 7227 3547 7227 3562 7228 3558 7228 3546 7228 3563 7229 3547 7229 3548 7229 3564 7230 3562 7230 3547 7230 3565 7231 3564 7231 3547 7231 3566 7232 3565 7232 3547 7232 3563 7233 3566 7233 3547 7233 3567 7234 3548 7234 3549 7234 3568 7235 3563 7235 3548 7235 3569 7236 3568 7236 3548 7236 3548 7237 3567 7237 3570 7237 3571 7238 3567 7238 3549 7238 3572 7239 3571 7239 3549 7239 3573 7240 3572 7240 3549 7240 3573 7241 3549 7241 3520 7241 3574 7242 3550 7242 3554 7242 3574 7243 3551 7243 3550 7243 3574 7244 3554 7244 3555 7244 3575 7245 3555 7245 3556 7245 3576 7246 3555 7246 3575 7246 3574 7247 3555 7247 3576 7247 3575 7248 3556 7248 3557 7248 3577 7249 3557 7249 3553 7249 3577 7250 3578 7250 3579 7250 3579 7251 3557 7251 3577 7251 3575 7252 3557 7252 3579 7252 3577 7253 3553 7253 3559 7253 3580 7254 3559 7254 3560 7254 3580 7255 3577 7255 3559 7255 3561 7256 3560 7256 3545 7256 3581 7257 3560 7257 3561 7257 3582 7258 3580 7258 3560 7258 3581 7259 3582 7259 3560 7259 3581 7260 3561 7260 3558 7260 3581 7261 3558 7261 3562 7261 3581 7262 3562 7262 3564 7262 3583 7263 3564 7263 3565 7263 3584 7264 3564 7264 3583 7264 3581 7265 3564 7265 3584 7265 3583 7266 3565 7266 3566 7266 3585 7267 3566 7267 3563 7267 3585 7268 3586 7268 3587 7268 3587 7269 3566 7269 3585 7269 3583 7270 3566 7270 3587 7270 3585 7271 3563 7271 3568 7271 3588 7272 3568 7272 3569 7272 3588 7273 3585 7273 3568 7273 3570 7274 3569 7274 3548 7274 3589 7275 3569 7275 3570 7275 3590 7276 3588 7276 3569 7276 3589 7277 3590 7277 3569 7277 3589 7278 3570 7278 3567 7278 3589 7279 3567 7279 3571 7279 3589 7280 3571 7280 3572 7280 3591 7281 3572 7281 3573 7281 3589 7282 3572 7282 3591 7282 3592 7283 3593 7283 3578 7283 3575 7284 3578 7284 3593 7284 3577 7285 3592 7285 3578 7285 3575 7286 3579 7286 3578 7286 3592 7287 3594 7287 3593 7287 3575 7288 3593 7288 3594 7288 3595 7289 3594 7289 3592 7289 3596 7290 3594 7290 3595 7290 3575 7291 3594 7291 3596 7291 3282 7292 3592 7292 3577 7292 3279 7293 3592 7293 3282 7293 3279 7294 3595 7294 3592 7294 3276 7295 3577 7295 3580 7295 3276 7296 3282 7296 3577 7296 3597 7297 3598 7297 3580 7297 3319 7298 3580 7298 3598 7298 3599 7299 3597 7299 3580 7299 3582 7300 3599 7300 3580 7300 3319 7301 3276 7301 3580 7301 3586 7302 3585 7302 3598 7302 3316 7303 3598 7303 3585 7303 3597 7304 3586 7304 3598 7304 3316 7305 3319 7305 3598 7305 3314 7306 3585 7306 3588 7306 3314 7307 3316 7307 3585 7307 3600 7308 3601 7308 3588 7308 3306 7309 3588 7309 3601 7309 3602 7310 3600 7310 3588 7310 3603 7311 3602 7311 3588 7311 3590 7312 3603 7312 3588 7312 3306 7313 3314 7313 3588 7313 3604 7314 3601 7314 3600 7314 3309 7315 3306 7315 3601 7315 3605 7316 3309 7316 3601 7316 3604 7317 3606 7317 3601 7317 3605 7318 3601 7318 3606 7318 3607 7319 3600 7319 3602 7319 3607 7320 3604 7320 3600 7320 3607 7321 3602 7321 3603 7321 3589 7322 3603 7322 3590 7322 3608 7323 3607 7323 3603 7323 3608 7324 3603 7324 3589 7324 3583 7325 3587 7325 3586 7325 3583 7326 3586 7326 3597 7326 3583 7327 3597 7327 3599 7327 3581 7328 3599 7328 3582 7328 3609 7329 3583 7329 3599 7329 3609 7330 3599 7330 3581 7330 3273 7331 3282 7331 3276 7331 3298 7332 3303 7332 3309 7332 3298 7333 3309 7333 3605 7333 3423 7334 3401 7334 3403 7334 3443 7335 3403 7335 3404 7335 3443 7336 3423 7336 3403 7336 3440 7337 3404 7337 3405 7337 3440 7338 3443 7338 3404 7338 3437 7339 3405 7339 3393 7339 3437 7340 3440 7340 3405 7340 3407 7341 3437 7341 3393 7341 3573 7342 3520 7342 3522 7342 3610 7343 3522 7343 3523 7343 3610 7344 3573 7344 3522 7344 3611 7345 3523 7345 3524 7345 3611 7346 3610 7346 3523 7346 3612 7347 3524 7347 3509 7347 3612 7348 3611 7348 3524 7348 3543 7349 3612 7349 3509 7349 3613 7350 3573 7350 3610 7350 3614 7351 3591 7351 3573 7351 3615 7352 3614 7352 3573 7352 3616 7353 3615 7353 3573 7353 3613 7354 3616 7354 3573 7354 3617 7355 3610 7355 3611 7355 3618 7356 3613 7356 3610 7356 3619 7357 3618 7357 3610 7357 3610 7358 3617 7358 3620 7358 3621 7359 3611 7359 3612 7359 3621 7360 3617 7360 3611 7360 3622 7361 3612 7361 3543 7361 3623 7362 3621 7362 3612 7362 3624 7363 3623 7363 3612 7363 3625 7364 3624 7364 3612 7364 3622 7365 3625 7365 3612 7365 3543 7366 3552 7366 3626 7366 3627 7367 3543 7367 3628 7367 3627 7368 3622 7368 3543 7368 3626 7369 3628 7369 3543 7369 3574 7370 3628 7370 3626 7370 3595 7371 3627 7371 3628 7371 3629 7372 3595 7372 3628 7372 3574 7373 3629 7373 3628 7373 3574 7374 3626 7374 3552 7374 3574 7375 3552 7375 3551 7375 3589 7376 3591 7376 3614 7376 3607 7377 3614 7377 3615 7377 3630 7378 3614 7378 3607 7378 3589 7379 3614 7379 3630 7379 3607 7380 3615 7380 3616 7380 3605 7381 3616 7381 3613 7381 3631 7382 3616 7382 3605 7382 3607 7383 3616 7383 3631 7383 3605 7384 3606 7384 3631 7384 3605 7385 3613 7385 3618 7385 3632 7386 3618 7386 3619 7386 3632 7387 3605 7387 3618 7387 3620 7388 3619 7388 3610 7388 3633 7389 3619 7389 3620 7389 3632 7390 3619 7390 3634 7390 3633 7391 3634 7391 3619 7391 3633 7392 3620 7392 3617 7392 3633 7393 3617 7393 3621 7393 3633 7394 3621 7394 3623 7394 3635 7395 3623 7395 3624 7395 3636 7396 3623 7396 3635 7396 3633 7397 3623 7397 3636 7397 3635 7398 3624 7398 3625 7398 3637 7399 3625 7399 3622 7399 3638 7400 3625 7400 3637 7400 3635 7401 3625 7401 3638 7401 3637 7402 3639 7402 3638 7402 3637 7403 3622 7403 3627 7403 3595 7404 3637 7404 3627 7404 3635 7405 3638 7405 3639 7405 3640 7406 3641 7406 3639 7406 3635 7407 3639 7407 3641 7407 3637 7408 3640 7408 3639 7408 3632 7409 3642 7409 3641 7409 3635 7410 3641 7410 3642 7410 3640 7411 3632 7411 3641 7411 3632 7412 3634 7412 3642 7412 3633 7413 3642 7413 3634 7413 3635 7414 3642 7414 3643 7414 3633 7415 3643 7415 3642 7415 3607 7416 3631 7416 3606 7416 3607 7417 3606 7417 3604 7417 3298 7418 3605 7418 3632 7418 3292 7419 3632 7419 3640 7419 3292 7420 3298 7420 3632 7420 3289 7421 3640 7421 3637 7421 3289 7422 3292 7422 3640 7422 3287 7423 3637 7423 3595 7423 3287 7424 3289 7424 3637 7424 3644 7425 3596 7425 3595 7425 3629 7426 3644 7426 3595 7426 3279 7427 3287 7427 3595 7427 3575 7428 3596 7428 3644 7428 3574 7429 3644 7429 3629 7429 3575 7430 3644 7430 3645 7430 3574 7431 3645 7431 3644 7431 3636 7432 3635 7432 3643 7432 3633 7433 3636 7433 3643 7433 3609 7434 3584 7434 3583 7434 3609 7435 3581 7435 3584 7435 3608 7436 3630 7436 3607 7436 3608 7437 3589 7437 3630 7437 3576 7438 3575 7438 3645 7438 3574 7439 3576 7439 3645 7439 3343 7440 3341 7440 3340 7440 3342 7441 3343 7441 3340 7441 3347 7442 3345 7442 3344 7442 3346 7443 3347 7443 3344 7443 3351 7444 3349 7444 3348 7444 3350 7445 3351 7445 3348 7445 3355 7446 3353 7446 3352 7446 3354 7447 3355 7447 3352 7447 3529 7448 3527 7448 3526 7448 3528 7449 3529 7449 3526 7449 3533 7450 3531 7450 3530 7450 3532 7451 3533 7451 3530 7451 3537 7452 3535 7452 3534 7452 3536 7453 3537 7453 3534 7453 3541 7454 3539 7454 3538 7454 3540 7455 3541 7455 3538 7455 3646 7456 3647 7456 3648 7456 3649 7457 3648 7457 3647 7457 3650 7458 3646 7458 3648 7458 3650 7459 3648 7459 3651 7459 3652 7460 3651 7460 3648 7460 3649 7461 3652 7461 3648 7461 3646 7462 3653 7462 3647 7462 3654 7463 3647 7463 3653 7463 3654 7464 3649 7464 3647 7464 3655 7465 3656 7465 3653 7465 3657 7466 3653 7466 3656 7466 3658 7467 3653 7467 3646 7467 3658 7468 3655 7468 3653 7468 3657 7469 3654 7469 3653 7469 3659 7470 3660 7470 3656 7470 3661 7471 3656 7471 3660 7471 3655 7472 3659 7472 3656 7472 3661 7473 3657 7473 3656 7473 3662 7474 3663 7474 3660 7474 3664 7475 3660 7475 3663 7475 3665 7476 3662 7476 3660 7476 3666 7477 3660 7477 3659 7477 3667 7478 3665 7478 3660 7478 3668 7479 3667 7479 3660 7479 3669 7480 3668 7480 3660 7480 3666 7481 3669 7481 3660 7481 3670 7482 3661 7482 3660 7482 3670 7483 3660 7483 3664 7483 3671 7484 3672 7484 3663 7484 3664 7485 3663 7485 3672 7485 3662 7486 3671 7486 3663 7486 3673 7487 3674 7487 3672 7487 3675 7488 3672 7488 3674 7488 3671 7489 3673 7489 3672 7489 3676 7490 3672 7490 3675 7490 3677 7491 3672 7491 3676 7491 3678 7492 3672 7492 3677 7492 3664 7493 3672 7493 3678 7493 3679 7494 3674 7494 3673 7494 3675 7495 3674 7495 3680 7495 3681 7496 3680 7496 3674 7496 3679 7497 3681 7497 3674 7497 3682 7498 3673 7498 3671 7498 3682 7499 3679 7499 3673 7499 3683 7500 3671 7500 3662 7500 3682 7501 3671 7501 3684 7501 3685 7502 3684 7502 3671 7502 3683 7503 3685 7503 3671 7503 3686 7504 3687 7504 3662 7504 3688 7505 3662 7505 3687 7505 3665 7506 3686 7506 3662 7506 3689 7507 3662 7507 3688 7507 3690 7508 3683 7508 3662 7508 3691 7509 3690 7509 3662 7509 3692 7510 3691 7510 3662 7510 3693 7511 3692 7511 3662 7511 3694 7512 3693 7512 3662 7512 3695 7513 3694 7513 3662 7513 3696 7514 3695 7514 3662 7514 3697 7515 3696 7515 3662 7515 3689 7516 3697 7516 3662 7516 3698 7517 3646 7517 3687 7517 3699 7518 3687 7518 3646 7518 3700 7519 3698 7519 3687 7519 3686 7520 3700 7520 3687 7520 3688 7521 3687 7521 3699 7521 3701 7522 3658 7522 3646 7522 3698 7523 3701 7523 3646 7523 3702 7524 3646 7524 3650 7524 3699 7525 3646 7525 3702 7525 3703 7526 3659 7526 3655 7526 3704 7527 3666 7527 3659 7527 3704 7528 3659 7528 3703 7528 3705 7529 3655 7529 3658 7529 3705 7530 3703 7530 3655 7530 3706 7531 3658 7531 3701 7531 3705 7532 3658 7532 3706 7532 3707 7533 3701 7533 3698 7533 3706 7534 3701 7534 3707 7534 3708 7535 3698 7535 3700 7535 3707 7536 3698 7536 3708 7536 3709 7537 3700 7537 3686 7537 3708 7538 3700 7538 3709 7538 3710 7539 3686 7539 3665 7539 3709 7540 3686 7540 3710 7540 3711 7541 3665 7541 3667 7541 3710 7542 3665 7542 3711 7542 3712 7543 3667 7543 3668 7543 3711 7544 3667 7544 3712 7544 3713 7545 3668 7545 3669 7545 3712 7546 3668 7546 3713 7546 3714 7547 3669 7547 3666 7547 3713 7548 3669 7548 3714 7548 3714 7549 3666 7549 3704 7549 3715 7550 3675 7550 3680 7550 3716 7551 3680 7551 3650 7551 3717 7552 3650 7552 3680 7552 3718 7553 3715 7553 3680 7553 3719 7554 3718 7554 3680 7554 3716 7555 3720 7555 3680 7555 3721 7556 3680 7556 3720 7556 3721 7557 3722 7557 3680 7557 3723 7558 3680 7558 3722 7558 3724 7559 3719 7559 3680 7559 3723 7560 3724 7560 3680 7560 3725 7561 3680 7561 3681 7561 3726 7562 3717 7562 3680 7562 3727 7563 3726 7563 3680 7563 3728 7564 3727 7564 3680 7564 3725 7565 3728 7565 3680 7565 3729 7566 3676 7566 3675 7566 3730 7567 3729 7567 3675 7567 3715 7568 3730 7568 3675 7568 3731 7569 3732 7569 3676 7569 3733 7570 3676 7570 3732 7570 3734 7571 3731 7571 3676 7571 3729 7572 3734 7572 3676 7572 3733 7573 3677 7573 3676 7573 3735 7574 3736 7574 3732 7574 3733 7575 3732 7575 3736 7575 3737 7576 3735 7576 3732 7576 3731 7577 3737 7577 3732 7577 3735 7578 3738 7578 3736 7578 3739 7579 3736 7579 3738 7579 3739 7580 3733 7580 3736 7580 3740 7581 3741 7581 3738 7581 3742 7582 3738 7582 3741 7582 3735 7583 3743 7583 3738 7583 3744 7584 3738 7584 3743 7584 3744 7585 3740 7585 3738 7585 3745 7586 3739 7586 3738 7586 3742 7587 3745 7587 3738 7587 3746 7588 3651 7588 3741 7588 3652 7589 3741 7589 3651 7589 3747 7590 3741 7590 3748 7590 3749 7591 3748 7591 3741 7591 3750 7592 3746 7592 3741 7592 3747 7593 3750 7593 3741 7593 3751 7594 3749 7594 3741 7594 3740 7595 3751 7595 3741 7595 3652 7596 3742 7596 3741 7596 3752 7597 3650 7597 3651 7597 3753 7598 3754 7598 3651 7598 3755 7599 3651 7599 3754 7599 3756 7600 3753 7600 3651 7600 3757 7601 3756 7601 3651 7601 3746 7602 3757 7602 3651 7602 3758 7603 3651 7603 3755 7603 3759 7604 3752 7604 3651 7604 3760 7605 3759 7605 3651 7605 3758 7606 3760 7606 3651 7606 3761 7607 3716 7607 3650 7607 3752 7608 3761 7608 3650 7608 3762 7609 3702 7609 3650 7609 3763 7610 3762 7610 3650 7610 3763 7611 3650 7611 3717 7611 3764 7612 3765 7612 3766 7612 3767 7613 3766 7613 3765 7613 3768 7614 3766 7614 3769 7614 3770 7615 3769 7615 3766 7615 3768 7616 3771 7616 3766 7616 3772 7617 3766 7617 3771 7617 3764 7618 3766 7618 3772 7618 3767 7619 3770 7619 3766 7619 3773 7620 3774 7620 3765 7620 3775 7621 3765 7621 3774 7621 3764 7622 3773 7622 3765 7622 3775 7623 3767 7623 3765 7623 3776 7624 3748 7624 3774 7624 3777 7625 3774 7625 3748 7625 3756 7626 3774 7626 3773 7626 3757 7627 3774 7627 3756 7627 3778 7628 3776 7628 3774 7628 3757 7629 3778 7629 3774 7629 3777 7630 3775 7630 3774 7630 3779 7631 3780 7631 3748 7631 3781 7632 3748 7632 3780 7632 3747 7633 3748 7633 3776 7633 3749 7634 3779 7634 3748 7634 3781 7635 3777 7635 3748 7635 3782 7636 3783 7636 3780 7636 3784 7637 3780 7637 3783 7637 3782 7638 3780 7638 3779 7638 3784 7639 3781 7639 3780 7639 3785 7640 3786 7640 3783 7640 3787 7641 3783 7641 3786 7641 3785 7642 3783 7642 3788 7642 3744 7643 3788 7643 3783 7643 3782 7644 3744 7644 3783 7644 3784 7645 3783 7645 3787 7645 3789 7646 3790 7646 3786 7646 3791 7647 3786 7647 3790 7647 3785 7648 3789 7648 3786 7648 3791 7649 3787 7649 3786 7649 3792 7650 3793 7650 3790 7650 3794 7651 3790 7651 3793 7651 3729 7652 3790 7652 3789 7652 3730 7653 3790 7653 3729 7653 3795 7654 3792 7654 3790 7654 3730 7655 3795 7655 3790 7655 3794 7656 3791 7656 3790 7656 3796 7657 3769 7657 3793 7657 3797 7658 3793 7658 3769 7658 3798 7659 3793 7659 3792 7659 3799 7660 3793 7660 3798 7660 3800 7661 3796 7661 3793 7661 3799 7662 3800 7662 3793 7662 3797 7663 3794 7663 3793 7663 3768 7664 3769 7664 3796 7664 3770 7665 3797 7665 3769 7665 3744 7666 3801 7666 3788 7666 3802 7667 3788 7667 3801 7667 3785 7668 3788 7668 3803 7668 3804 7669 3803 7669 3788 7669 3804 7670 3788 7670 3802 7670 3744 7671 3743 7671 3801 7671 3805 7672 3801 7672 3743 7672 3802 7673 3801 7673 3805 7673 3806 7674 3743 7674 3735 7674 3805 7675 3743 7675 3806 7675 3807 7676 3735 7676 3737 7676 3806 7677 3735 7677 3807 7677 3808 7678 3803 7678 3737 7678 3809 7679 3737 7679 3803 7679 3731 7680 3808 7680 3737 7680 3809 7681 3807 7681 3737 7681 3808 7682 3785 7682 3803 7682 3809 7683 3803 7683 3804 7683 3810 7684 3789 7684 3785 7684 3811 7685 3729 7685 3789 7685 3811 7686 3789 7686 3810 7686 3812 7687 3785 7687 3808 7687 3810 7688 3785 7688 3812 7688 3813 7689 3808 7689 3731 7689 3812 7690 3808 7690 3813 7690 3814 7691 3731 7691 3734 7691 3813 7692 3731 7692 3814 7692 3815 7693 3734 7693 3729 7693 3815 7694 3814 7694 3734 7694 3815 7695 3729 7695 3811 7695 3816 7696 3792 7696 3795 7696 3817 7697 3798 7697 3792 7697 3817 7698 3792 7698 3816 7698 3818 7699 3795 7699 3730 7699 3816 7700 3795 7700 3818 7700 3819 7701 3730 7701 3715 7701 3818 7702 3730 7702 3819 7702 3820 7703 3715 7703 3718 7703 3819 7704 3715 7704 3820 7704 3719 7705 3798 7705 3718 7705 3821 7706 3718 7706 3798 7706 3821 7707 3820 7707 3718 7707 3719 7708 3799 7708 3798 7708 3821 7709 3798 7709 3817 7709 3822 7710 3796 7710 3800 7710 3823 7711 3768 7711 3796 7711 3823 7712 3796 7712 3822 7712 3824 7713 3800 7713 3799 7713 3822 7714 3800 7714 3824 7714 3825 7715 3826 7715 3799 7715 3827 7716 3799 7716 3826 7716 3719 7717 3825 7717 3799 7717 3824 7718 3799 7718 3827 7718 3828 7719 3771 7719 3826 7719 3829 7720 3826 7720 3771 7720 3825 7721 3828 7721 3826 7721 3827 7722 3826 7722 3829 7722 3830 7723 3771 7723 3768 7723 3831 7724 3772 7724 3771 7724 3832 7725 3831 7725 3771 7725 3828 7726 3832 7726 3771 7726 3830 7727 3829 7727 3771 7727 3830 7728 3768 7728 3823 7728 3833 7729 3772 7729 3831 7729 3764 7730 3772 7730 3834 7730 3835 7731 3834 7731 3772 7731 3835 7732 3772 7732 3833 7732 3836 7733 3837 7733 3831 7733 3838 7734 3831 7734 3837 7734 3832 7735 3836 7735 3831 7735 3833 7736 3831 7736 3838 7736 3839 7737 3840 7737 3837 7737 3841 7738 3837 7738 3840 7738 3836 7739 3839 7739 3837 7739 3838 7740 3837 7740 3841 7740 3842 7741 3843 7741 3840 7741 3844 7742 3840 7742 3843 7742 3845 7743 3842 7743 3840 7743 3839 7744 3845 7744 3840 7744 3841 7745 3840 7745 3844 7745 3846 7746 3834 7746 3843 7746 3847 7747 3843 7747 3834 7747 3754 7748 3846 7748 3843 7748 3842 7749 3754 7749 3843 7749 3847 7750 3844 7750 3843 7750 3846 7751 3764 7751 3834 7751 3847 7752 3834 7752 3835 7752 3848 7753 3773 7753 3764 7753 3849 7754 3756 7754 3773 7754 3849 7755 3773 7755 3848 7755 3850 7756 3764 7756 3846 7756 3848 7757 3764 7757 3850 7757 3851 7758 3846 7758 3754 7758 3850 7759 3846 7759 3851 7759 3852 7760 3754 7760 3753 7760 3842 7761 3755 7761 3754 7761 3851 7762 3754 7762 3852 7762 3853 7763 3753 7763 3756 7763 3853 7764 3852 7764 3753 7764 3853 7765 3756 7765 3849 7765 3854 7766 3776 7766 3778 7766 3855 7767 3747 7767 3776 7767 3855 7768 3776 7768 3854 7768 3856 7769 3778 7769 3757 7769 3854 7770 3778 7770 3856 7770 3857 7771 3757 7771 3746 7771 3856 7772 3757 7772 3857 7772 3858 7773 3746 7773 3750 7773 3857 7774 3746 7774 3858 7774 3859 7775 3750 7775 3747 7775 3859 7776 3858 7776 3750 7776 3859 7777 3747 7777 3855 7777 3860 7778 3779 7778 3749 7778 3861 7779 3782 7779 3779 7779 3861 7780 3779 7780 3860 7780 3862 7781 3749 7781 3751 7781 3860 7782 3749 7782 3862 7782 3863 7783 3751 7783 3740 7783 3862 7784 3751 7784 3863 7784 3864 7785 3740 7785 3744 7785 3863 7786 3740 7786 3864 7786 3865 7787 3744 7787 3782 7787 3865 7788 3864 7788 3744 7788 3865 7789 3782 7789 3861 7789 3866 7790 3867 7790 3868 7790 3869 7791 3868 7791 3867 7791 3870 7792 3868 7792 3871 7792 3872 7793 3871 7793 3868 7793 3866 7794 3868 7794 3873 7794 3874 7795 3873 7795 3868 7795 3870 7796 3874 7796 3868 7796 3872 7797 3868 7797 3869 7797 3875 7798 3876 7798 3867 7798 3877 7799 3867 7799 3876 7799 3866 7800 3875 7800 3867 7800 3877 7801 3869 7801 3867 7801 3878 7802 3879 7802 3876 7802 3880 7803 3876 7803 3879 7803 3875 7804 3878 7804 3876 7804 3877 7805 3876 7805 3880 7805 3881 7806 3882 7806 3879 7806 3883 7807 3879 7807 3882 7807 3878 7808 3884 7808 3879 7808 3881 7809 3879 7809 3884 7809 3880 7810 3879 7810 3883 7810 3870 7811 3871 7811 3882 7811 3885 7812 3882 7812 3871 7812 3881 7813 3870 7813 3882 7813 3883 7814 3882 7814 3885 7814 3885 7815 3871 7815 3872 7815 3874 7816 3886 7816 3873 7816 3887 7817 3873 7817 3886 7817 3888 7818 3866 7818 3873 7818 3888 7819 3873 7819 3887 7819 3889 7820 3890 7820 3886 7820 3891 7821 3886 7821 3890 7821 3874 7822 3889 7822 3886 7822 3891 7823 3887 7823 3886 7823 3892 7824 3893 7824 3890 7824 3894 7825 3890 7825 3893 7825 3895 7826 3892 7826 3890 7826 3889 7827 3895 7827 3890 7827 3891 7828 3890 7828 3894 7828 3758 7829 3755 7829 3893 7829 3896 7830 3893 7830 3755 7830 3892 7831 3758 7831 3893 7831 3894 7832 3893 7832 3896 7832 3897 7833 3755 7833 3842 7833 3897 7834 3896 7834 3755 7834 3898 7835 3842 7835 3845 7835 3897 7836 3842 7836 3898 7836 3899 7837 3845 7837 3839 7837 3900 7838 3898 7838 3845 7838 3899 7839 3900 7839 3845 7839 3899 7840 3839 7840 3836 7840 3901 7841 3836 7841 3832 7841 3901 7842 3899 7842 3836 7842 3902 7843 3832 7843 3828 7843 3902 7844 3901 7844 3832 7844 3903 7845 3828 7845 3825 7845 3902 7846 3828 7846 3903 7846 3719 7847 3904 7847 3825 7847 3905 7848 3825 7848 3904 7848 3903 7849 3825 7849 3905 7849 3906 7850 3907 7850 3904 7850 3908 7851 3904 7851 3907 7851 3909 7852 3906 7852 3904 7852 3910 7853 3909 7853 3904 7853 3719 7854 3910 7854 3904 7854 3905 7855 3904 7855 3908 7855 3911 7856 3912 7856 3907 7856 3913 7857 3907 7857 3912 7857 3906 7858 3911 7858 3907 7858 3908 7859 3907 7859 3913 7859 3914 7860 3915 7860 3912 7860 3916 7861 3912 7861 3915 7861 3911 7862 3914 7862 3912 7862 3913 7863 3912 7863 3916 7863 3917 7864 3918 7864 3915 7864 3919 7865 3915 7865 3918 7865 3917 7866 3915 7866 3914 7866 3916 7867 3915 7867 3919 7867 3917 7868 3920 7868 3918 7868 3921 7869 3918 7869 3920 7869 3919 7870 3918 7870 3921 7870 3917 7871 3884 7871 3920 7871 3922 7872 3920 7872 3884 7872 3921 7873 3920 7873 3922 7873 3923 7874 3884 7874 3878 7874 3917 7875 3881 7875 3884 7875 3922 7876 3884 7876 3923 7876 3924 7877 3878 7877 3875 7877 3924 7878 3923 7878 3878 7878 3925 7879 3875 7879 3866 7879 3925 7880 3924 7880 3875 7880 3888 7881 3925 7881 3866 7881 3911 7882 3926 7882 3914 7882 3927 7883 3914 7883 3926 7883 3928 7884 3917 7884 3914 7884 3927 7885 3928 7885 3914 7885 3721 7886 3720 7886 3926 7886 3929 7887 3926 7887 3720 7887 3930 7888 3721 7888 3926 7888 3911 7889 3930 7889 3926 7889 3927 7890 3926 7890 3929 7890 3931 7891 3720 7891 3716 7891 3929 7892 3720 7892 3931 7892 3932 7893 3716 7893 3761 7893 3932 7894 3931 7894 3716 7894 3933 7895 3761 7895 3752 7895 3933 7896 3932 7896 3761 7896 3934 7897 3752 7897 3759 7897 3933 7898 3752 7898 3934 7898 3935 7899 3759 7899 3760 7899 3934 7900 3759 7900 3935 7900 3936 7901 3760 7901 3758 7901 3936 7902 3935 7902 3760 7902 3937 7903 3758 7903 3892 7903 3936 7904 3758 7904 3937 7904 3938 7905 3892 7905 3895 7905 3937 7906 3892 7906 3938 7906 3939 7907 3895 7907 3889 7907 3938 7908 3895 7908 3939 7908 3940 7909 3889 7909 3874 7909 3939 7910 3889 7910 3940 7910 3941 7911 3874 7911 3870 7911 3940 7912 3874 7912 3941 7912 3942 7913 3870 7913 3881 7913 3943 7914 3941 7914 3870 7914 3942 7915 3943 7915 3870 7915 3942 7916 3881 7916 3917 7916 3928 7917 3942 7917 3917 7917 3944 7918 3722 7918 3721 7918 3945 7919 3723 7919 3722 7919 3945 7920 3722 7920 3944 7920 3946 7921 3721 7921 3930 7921 3944 7922 3721 7922 3946 7922 3947 7923 3930 7923 3911 7923 3947 7924 3946 7924 3930 7924 3948 7925 3911 7925 3906 7925 3947 7926 3911 7926 3948 7926 3949 7927 3906 7927 3909 7927 3948 7928 3906 7928 3949 7928 3950 7929 3909 7929 3910 7929 3949 7930 3909 7930 3950 7930 3951 7931 3910 7931 3719 7931 3950 7932 3910 7932 3951 7932 3952 7933 3719 7933 3724 7933 3951 7934 3719 7934 3952 7934 3953 7935 3724 7935 3723 7935 3953 7936 3952 7936 3724 7936 3945 7937 3953 7937 3723 7937 3954 7938 3787 7938 3791 7938 3955 7939 3784 7939 3787 7939 3954 7940 3956 7940 3787 7940 3955 7941 3787 7941 3956 7941 3957 7942 3791 7942 3794 7942 3957 7943 3954 7943 3791 7943 3957 7944 3794 7944 3797 7944 3958 7945 3797 7945 3770 7945 3958 7946 3957 7946 3797 7946 3959 7947 3770 7947 3767 7947 3959 7948 3958 7948 3770 7948 3960 7949 3767 7949 3775 7949 3961 7950 3959 7950 3767 7950 3960 7951 3961 7951 3767 7951 3962 7952 3775 7952 3777 7952 3962 7953 3960 7953 3775 7953 3962 7954 3777 7954 3781 7954 3963 7955 3781 7955 3784 7955 3963 7956 3962 7956 3781 7956 3955 7957 3963 7957 3784 7957 3964 7958 3702 7958 3762 7958 3699 7959 3702 7959 3964 7959 3965 7960 3964 7960 3762 7960 3763 7961 3965 7961 3762 7961 3966 7962 3677 7962 3733 7962 3678 7963 3677 7963 3966 7963 3967 7964 3733 7964 3739 7964 3966 7965 3733 7965 3967 7965 3967 7966 3739 7966 3745 7966 3968 7967 3745 7967 3742 7967 3969 7968 3745 7968 3968 7968 3967 7969 3745 7969 3969 7969 3970 7970 3742 7970 3652 7970 3971 7971 3742 7971 3970 7971 3968 7972 3742 7972 3971 7972 3972 7973 3652 7973 3649 7973 3970 7974 3652 7974 3972 7974 3972 7975 3649 7975 3654 7975 3973 7976 3654 7976 3657 7976 3972 7977 3654 7977 3973 7977 3974 7978 3657 7978 3661 7978 3973 7979 3657 7979 3974 7979 3974 7980 3661 7980 3975 7980 3670 7981 3975 7981 3661 7981 3682 7982 3681 7982 3679 7982 3976 7983 3725 7983 3681 7983 3684 7984 3976 7984 3681 7984 3682 7985 3684 7985 3681 7985 3977 7986 3717 7986 3726 7986 3978 7987 3763 7987 3717 7987 3978 7988 3717 7988 3977 7988 3979 7989 3726 7989 3727 7989 3977 7990 3726 7990 3979 7990 3980 7991 3727 7991 3728 7991 3979 7992 3727 7992 3980 7992 3981 7993 3728 7993 3725 7993 3980 7994 3728 7994 3981 7994 3981 7995 3725 7995 3976 7995 3982 7996 3964 7996 3965 7996 3688 7997 3964 7997 3982 7997 3688 7998 3699 7998 3964 7998 3983 7999 3965 7999 3763 7999 3983 8000 3982 8000 3965 8000 3978 8001 3983 8001 3763 8001 3688 8002 3982 8002 3976 8002 3984 8003 3976 8003 3982 8003 3684 8004 3688 8004 3976 8004 3985 8005 3976 8005 3984 8005 3981 8006 3976 8006 3985 8006 3986 8007 3984 8007 3982 8007 3987 8008 3986 8008 3982 8008 3988 8009 3987 8009 3982 8009 3989 8010 3988 8010 3982 8010 3990 8011 3989 8011 3982 8011 3991 8012 3990 8012 3982 8012 3992 8013 3991 8013 3982 8013 3993 8014 3992 8014 3982 8014 3994 8015 3993 8015 3982 8015 3995 8016 3996 8016 3982 8016 3994 8017 3982 8017 3996 8017 3997 8018 3995 8018 3982 8018 3977 8019 3997 8019 3982 8019 3978 8020 3982 8020 3983 8020 3978 8021 3977 8021 3982 8021 3998 8022 3688 8022 3684 8022 3689 8023 3688 8023 3998 8023 3999 8024 4000 8024 3684 8024 4001 8025 3684 8025 4000 8025 3685 8026 3999 8026 3684 8026 4002 8027 3684 8027 4001 8027 4003 8028 4004 8028 3684 8028 4005 8029 3684 8029 4004 8029 4002 8030 4003 8030 3684 8030 4006 8031 4007 8031 3684 8031 4008 8032 3684 8032 4007 8032 4005 8033 4006 8033 3684 8033 4008 8034 3998 8034 3684 8034 3984 8035 4000 8035 3999 8035 3986 8036 4001 8036 4000 8036 3986 8037 4000 8037 3984 8037 3985 8038 3999 8038 3685 8038 3985 8039 3984 8039 3999 8039 4009 8040 3685 8040 3683 8040 3985 8041 3685 8041 4009 8041 4010 8042 3683 8042 3690 8042 4009 8043 3683 8043 4010 8043 3691 8044 4001 8044 3690 8044 3987 8045 3690 8045 4001 8045 4010 8046 3690 8046 3987 8046 3691 8047 4002 8047 4001 8047 3987 8048 4001 8048 3986 8048 3988 8049 4004 8049 4003 8049 4005 8050 4004 8050 4011 8050 3989 8051 4011 8051 4004 8051 3989 8052 4004 8052 3988 8052 4012 8053 4003 8053 4002 8053 4012 8054 3988 8054 4003 8054 4013 8055 4002 8055 3691 8055 4012 8056 4002 8056 4013 8056 4014 8057 3691 8057 3692 8057 4013 8058 3691 8058 4014 8058 3693 8059 4011 8059 3692 8059 3990 8060 3692 8060 4011 8060 4014 8061 3692 8061 3990 8061 3693 8062 4005 8062 4011 8062 3990 8063 4011 8063 3989 8063 3991 8064 4007 8064 4006 8064 4015 8065 4007 8065 3695 8065 3992 8066 3695 8066 4007 8066 4015 8067 4008 8067 4007 8067 3992 8068 4007 8068 3991 8068 4016 8069 4006 8069 4005 8069 4016 8070 3991 8070 4006 8070 4017 8071 4005 8071 3693 8071 4016 8072 4005 8072 4017 8072 4018 8073 3693 8073 3694 8073 4017 8074 3693 8074 4018 8074 3993 8075 3694 8075 3695 8075 4018 8076 3694 8076 3993 8076 3696 8077 4015 8077 3695 8077 3993 8078 3695 8078 3992 8078 3996 8079 3998 8079 4008 8079 3995 8080 3689 8080 3998 8080 3995 8081 3998 8081 3996 8081 3994 8082 4008 8082 4015 8082 3994 8083 3996 8083 4008 8083 4019 8084 4015 8084 3696 8084 3994 8085 4015 8085 4019 8085 4020 8086 3696 8086 3697 8086 4019 8087 3696 8087 4020 8087 3997 8088 3697 8088 3689 8088 4020 8089 3697 8089 3997 8089 3997 8090 3689 8090 3995 8090 3979 8091 4010 8091 3987 8091 4012 8092 3987 8092 3988 8092 3979 8093 3987 8093 4012 8093 3979 8094 4009 8094 4010 8094 3979 8095 3985 8095 4009 8095 3980 8096 3981 8096 3985 8096 3979 8097 3980 8097 3985 8097 4016 8098 4014 8098 3990 8098 4016 8099 3990 8099 3991 8099 3979 8100 4013 8100 4014 8100 3979 8101 4014 8101 4016 8101 3979 8102 4012 8102 4013 8102 3994 8103 4018 8103 3993 8103 3979 8104 4017 8104 4018 8104 3994 8105 4019 8105 4018 8105 3979 8106 4018 8106 4019 8106 3979 8107 4016 8107 4017 8107 3977 8108 4020 8108 3997 8108 3979 8109 4019 8109 4020 8109 3977 8110 3979 8110 4020 8110 4021 8111 4022 8111 4023 8111 3802 8112 4023 8112 4022 8112 4024 8113 4023 8113 4025 8113 3805 8114 4025 8114 4023 8114 4021 8115 4023 8115 4024 8115 3802 8116 3805 8116 4023 8116 4021 8117 4026 8117 4022 8117 3804 8118 4022 8118 4026 8118 3804 8119 3802 8119 4022 8119 4027 8120 4028 8120 4026 8120 3809 8121 4026 8121 4028 8121 4029 8122 4026 8122 4021 8122 4029 8123 4027 8123 4026 8123 3809 8124 3804 8124 4026 8124 4030 8125 4031 8125 4028 8125 3807 8126 4028 8126 4031 8126 4027 8127 4030 8127 4028 8127 3809 8128 4028 8128 3807 8128 4030 8129 4025 8129 4031 8129 3806 8130 4031 8130 4025 8130 3806 8131 3807 8131 4031 8131 4032 8132 4024 8132 4025 8132 4030 8133 4032 8133 4025 8133 3805 8134 3806 8134 4025 8134 4033 8135 4034 8135 4035 8135 3810 8136 4035 8136 4034 8136 4021 8137 4035 8137 4036 8137 3812 8138 4036 8138 4035 8138 4021 8139 4033 8139 4035 8139 3810 8140 3812 8140 4035 8140 4033 8141 4037 8141 4034 8141 3811 8142 4034 8142 4037 8142 3811 8143 3810 8143 4034 8143 4038 8144 4039 8144 4037 8144 3815 8145 4037 8145 4039 8145 4033 8146 4040 8146 4037 8146 4038 8147 4037 8147 4040 8147 3815 8148 3811 8148 4037 8148 4029 8149 4041 8149 4039 8149 3814 8150 4039 8150 4041 8150 4038 8151 4029 8151 4039 8151 3815 8152 4039 8152 3814 8152 4029 8153 4036 8153 4041 8153 3813 8154 4041 8154 4036 8154 3813 8155 3814 8155 4041 8155 4029 8156 4021 8156 4036 8156 3812 8157 3813 8157 4036 8157 4042 8158 4043 8158 4040 8158 3816 8159 4040 8159 4043 8159 4038 8160 4040 8160 4044 8160 3818 8161 4044 8161 4040 8161 4042 8162 4040 8162 4033 8162 3816 8163 3818 8163 4040 8163 4042 8164 4045 8164 4043 8164 3817 8165 4043 8165 4045 8165 3817 8166 3816 8166 4043 8166 4046 8167 4047 8167 4045 8167 3821 8168 4045 8168 4047 8168 4042 8169 4046 8169 4045 8169 3821 8170 3817 8170 4045 8170 4048 8171 4049 8171 4047 8171 3820 8172 4047 8172 4049 8172 4048 8173 4047 8173 4046 8173 3821 8174 4047 8174 3820 8174 4048 8175 4044 8175 4049 8175 3819 8176 4049 8176 4044 8176 3819 8177 3820 8177 4049 8177 4048 8178 4038 8178 4044 8178 3818 8179 3819 8179 4044 8179 4050 8180 4051 8180 4052 8180 3822 8181 4052 8181 4051 8181 4053 8182 4052 8182 4054 8182 3824 8183 4054 8183 4052 8183 4053 8184 4050 8184 4052 8184 3822 8185 3824 8185 4052 8185 4055 8186 4056 8186 4051 8186 3823 8187 4051 8187 4056 8187 4055 8188 4051 8188 4050 8188 3823 8189 3822 8189 4051 8189 4057 8190 4058 8190 4056 8190 3830 8191 4056 8191 4058 8191 4055 8192 4057 8192 4056 8192 3830 8193 3823 8193 4056 8193 4057 8194 4059 8194 4058 8194 3829 8195 4058 8195 4059 8195 3830 8196 4058 8196 3829 8196 4053 8197 4054 8197 4059 8197 3827 8198 4059 8198 4054 8198 4042 8199 4053 8199 4059 8199 4057 8200 4042 8200 4059 8200 3827 8201 3829 8201 4059 8201 3824 8202 3827 8202 4054 8202 4060 8203 4061 8203 4062 8203 3833 8204 4062 8204 4061 8204 4063 8205 4062 8205 4064 8205 3838 8206 4064 8206 4062 8206 4063 8207 4060 8207 4062 8207 3833 8208 3838 8208 4062 8208 4060 8209 4065 8209 4061 8209 3835 8210 4061 8210 4065 8210 3835 8211 3833 8211 4061 8211 4066 8212 4067 8212 4065 8212 3847 8213 4065 8213 4067 8213 4068 8214 4065 8214 4060 8214 4068 8215 4066 8215 4065 8215 3847 8216 3835 8216 4065 8216 4055 8217 4069 8217 4067 8217 3844 8218 4067 8218 4069 8218 4066 8219 4055 8219 4067 8219 3847 8220 4067 8220 3844 8220 4055 8221 4064 8221 4069 8221 3841 8222 4069 8222 4064 8222 3841 8223 3844 8223 4069 8223 4050 8224 4063 8224 4064 8224 4055 8225 4050 8225 4064 8225 3838 8226 3841 8226 4064 8226 4070 8227 4071 8227 4072 8227 3848 8228 4072 8228 4071 8228 4060 8229 4072 8229 4073 8229 3850 8230 4073 8230 4072 8230 4060 8231 4070 8231 4072 8231 3848 8232 3850 8232 4072 8232 4070 8233 4074 8233 4071 8233 3849 8234 4071 8234 4074 8234 3849 8235 3848 8235 4071 8235 4075 8236 4076 8236 4074 8236 3853 8237 4074 8237 4076 8237 4070 8238 4077 8238 4074 8238 4075 8239 4074 8239 4077 8239 3853 8240 3849 8240 4074 8240 4068 8241 4078 8241 4076 8241 3852 8242 4076 8242 4078 8242 4075 8243 4068 8243 4076 8243 3853 8244 4076 8244 3852 8244 4068 8245 4073 8245 4078 8245 3851 8246 4078 8246 4073 8246 3851 8247 3852 8247 4078 8247 4068 8248 4060 8248 4073 8248 3850 8249 3851 8249 4073 8249 4079 8250 4080 8250 4077 8250 3854 8251 4077 8251 4080 8251 4075 8252 4077 8252 4081 8252 3856 8253 4081 8253 4077 8253 4079 8254 4077 8254 4070 8254 3854 8255 3856 8255 4077 8255 4079 8256 4082 8256 4080 8256 3855 8257 4080 8257 4082 8257 3855 8258 3854 8258 4080 8258 4083 8259 4084 8259 4082 8259 3859 8260 4082 8260 4084 8260 4079 8261 4083 8261 4082 8261 3859 8262 3855 8262 4082 8262 4085 8263 4086 8263 4084 8263 3858 8264 4084 8264 4086 8264 4083 8265 4085 8265 4084 8265 3859 8266 4084 8266 3858 8266 4085 8267 4081 8267 4086 8267 3857 8268 4086 8268 4081 8268 3857 8269 3858 8269 4086 8269 4085 8270 4075 8270 4081 8270 3856 8271 3857 8271 4081 8271 4032 8272 4087 8272 4088 8272 3860 8273 4088 8273 4087 8273 4089 8274 4088 8274 4090 8274 3862 8275 4090 8275 4088 8275 4089 8276 4032 8276 4088 8276 3860 8277 3862 8277 4088 8277 4030 8278 4091 8278 4087 8278 3861 8279 4087 8279 4091 8279 4030 8280 4087 8280 4032 8280 3861 8281 3860 8281 4087 8281 4092 8282 4093 8282 4091 8282 3865 8283 4091 8283 4093 8283 4030 8284 4092 8284 4091 8284 3865 8285 3861 8285 4091 8285 4092 8286 4094 8286 4093 8286 3864 8287 4093 8287 4094 8287 3865 8288 4093 8288 3864 8288 4089 8289 4090 8289 4094 8289 3863 8290 4094 8290 4090 8290 4079 8291 4089 8291 4094 8291 4092 8292 4079 8292 4094 8292 3863 8293 3864 8293 4094 8293 3862 8294 3863 8294 4090 8294 3956 8295 4024 8295 4032 8295 3954 8296 4021 8296 4024 8296 3954 8297 4024 8297 3956 8297 3955 8298 4032 8298 4089 8298 3955 8299 3956 8299 4032 8299 4079 8300 4070 8300 4089 8300 3963 8301 4089 8301 4070 8301 3955 8302 4089 8302 3963 8302 3962 8303 4070 8303 4060 8303 3963 8304 4070 8304 3962 8304 3960 8305 4060 8305 4063 8305 3962 8306 4060 8306 3960 8306 3961 8307 4063 8307 4050 8307 3960 8308 4063 8308 3961 8308 3959 8309 4050 8309 4053 8309 3961 8310 4050 8310 3959 8310 4042 8311 4033 8311 4053 8311 3958 8312 4053 8312 4033 8312 3959 8313 4053 8313 3958 8313 3957 8314 4033 8314 4021 8314 3958 8315 4033 8315 3957 8315 3957 8316 4021 8316 3954 8316 4095 8317 4046 8317 4042 8317 4096 8318 4048 8318 4046 8318 4096 8319 4046 8319 4095 8319 4097 8320 4042 8320 4057 8320 4095 8321 4042 8321 4097 8321 4097 8322 4057 8322 4055 8322 4098 8323 4055 8323 4066 8323 4097 8324 4055 8324 4098 8324 4099 8325 4066 8325 4068 8325 4098 8326 4066 8326 4099 8326 4100 8327 4068 8327 4075 8327 4099 8328 4068 8328 4100 8328 4100 8329 4075 8329 4085 8329 4101 8330 4085 8330 4083 8330 4100 8331 4085 8331 4101 8331 4102 8332 4083 8332 4079 8332 4101 8333 4083 8333 4102 8333 4103 8334 4079 8334 4092 8334 4103 8335 4102 8335 4079 8335 4103 8336 4092 8336 4030 8336 4104 8337 4030 8337 4027 8337 4103 8338 4030 8338 4104 8338 4105 8339 4027 8339 4029 8339 4104 8340 4027 8340 4105 8340 4106 8341 4029 8341 4038 8341 4105 8342 4029 8342 4106 8342 4106 8343 4038 8343 4048 8343 4106 8344 4048 8344 4096 8344 3973 8345 4101 8345 4102 8345 3972 8346 3973 8346 4102 8346 4103 8347 3972 8347 4102 8347 3973 8348 4100 8348 4101 8348 3975 8349 4099 8349 4100 8349 3974 8350 3975 8350 4100 8350 3973 8351 3974 8351 4100 8351 4107 8352 4098 8352 4099 8352 3975 8353 4107 8353 4099 8353 4108 8354 4097 8354 4098 8354 4107 8355 4108 8355 4098 8355 4109 8356 4095 8356 4097 8356 4108 8357 4109 8357 4097 8357 4110 8358 4095 8358 4109 8358 4110 8359 4096 8359 4095 8359 3664 8360 4109 8360 4108 8360 3966 8361 4110 8361 4109 8361 3678 8362 3966 8362 4109 8362 3664 8363 3678 8363 4109 8363 3670 8364 4108 8364 4107 8364 3670 8365 3664 8365 4108 8365 3670 8366 4107 8366 3975 8366 3970 8367 3972 8367 4103 8367 4110 8368 4106 8368 4096 8368 3968 8369 4105 8369 4106 8369 3969 8370 3968 8370 4106 8370 4110 8371 3969 8371 4106 8371 3971 8372 4104 8372 4105 8372 3968 8373 3971 8373 4105 8373 3970 8374 4103 8374 4104 8374 3971 8375 3970 8375 4104 8375 3967 8376 3969 8376 4110 8376 3966 8377 3967 8377 4110 8377 3877 8378 3704 8378 3703 8378 3869 8379 3703 8379 3705 8379 3877 8380 3703 8380 3869 8380 3712 8381 3714 8381 3704 8381 3877 8382 3712 8382 3704 8382 3712 8383 3713 8383 3714 8383 3880 8384 3711 8384 3712 8384 3877 8385 3880 8385 3712 8385 3883 8386 3710 8386 3711 8386 3880 8387 3883 8387 3711 8387 3885 8388 3709 8388 3710 8388 3883 8389 3885 8389 3710 8389 3706 8390 3708 8390 3709 8390 3885 8391 3706 8391 3709 8391 3706 8392 3707 8392 3708 8392 3872 8393 3705 8393 3706 8393 3885 8394 3872 8394 3706 8394 3872 8395 3869 8395 3705 8395 3935 8396 3941 8396 3943 8396 3940 8397 3941 8397 3935 8397 3935 8398 3943 8398 3942 8398 3927 8399 3942 8399 3928 8399 3934 8400 3935 8400 3942 8400 3927 8401 3934 8401 3942 8401 3894 8402 3888 8402 3887 8402 3891 8403 3894 8403 3887 8403 3913 8404 3923 8404 3924 8404 3913 8405 3922 8405 3923 8405 3913 8406 3924 8406 3925 8406 3913 8407 3925 8407 3888 8407 3894 8408 3900 8408 3888 8408 3913 8409 3888 8409 3900 8409 3939 8410 3940 8410 3935 8410 3938 8411 3939 8411 3935 8411 3936 8412 3938 8412 3935 8412 3929 8413 3933 8413 3934 8413 3927 8414 3929 8414 3934 8414 3897 8415 3898 8415 3900 8415 3913 8416 3900 8416 3899 8416 3894 8417 3896 8417 3900 8417 3897 8418 3900 8418 3896 8418 3908 8419 3899 8419 3901 8419 3908 8420 3913 8420 3899 8420 3905 8421 3908 8421 3901 8421 3903 8422 3905 8422 3901 8422 3902 8423 3903 8423 3901 8423 3948 8424 3952 8424 3953 8424 3949 8425 3951 8425 3952 8425 3948 8426 3949 8426 3952 8426 3947 8427 3953 8427 3945 8427 3947 8428 3948 8428 3953 8428 3933 8429 3931 8429 3932 8429 3929 8430 3931 8430 3933 8430 3947 8431 3944 8431 3946 8431 3947 8432 3945 8432 3944 8432 3936 8433 3937 8433 3938 8433 3913 8434 3921 8434 3922 8434 3913 8435 3919 8435 3921 8435 3913 8436 3916 8436 3919 8436 3949 8437 3950 8437 3951 8437 4111 8438 4112 8438 4113 8438 4114 8439 4113 8439 4112 8439 4115 8440 4111 8440 4113 8440 4115 8441 4113 8441 4116 8441 4117 8442 4116 8442 4113 8442 4114 8443 4117 8443 4113 8443 4111 8444 4118 8444 4112 8444 4119 8445 4112 8445 4118 8445 4119 8446 4114 8446 4112 8446 4120 8447 4121 8447 4118 8447 4122 8448 4118 8448 4121 8448 4123 8449 4118 8449 4111 8449 4123 8450 4120 8450 4118 8450 4122 8451 4119 8451 4118 8451 4124 8452 4125 8452 4121 8452 4126 8453 4121 8453 4125 8453 4120 8454 4124 8454 4121 8454 4126 8455 4122 8455 4121 8455 4127 8456 4128 8456 4125 8456 4129 8457 4125 8457 4128 8457 4130 8458 4127 8458 4125 8458 4131 8459 4125 8459 4124 8459 4132 8460 4130 8460 4125 8460 4133 8461 4132 8461 4125 8461 4134 8462 4133 8462 4125 8462 4131 8463 4134 8463 4125 8463 4135 8464 4126 8464 4125 8464 4135 8465 4125 8465 4129 8465 4136 8466 4137 8466 4128 8466 4129 8467 4128 8467 4137 8467 4127 8468 4136 8468 4128 8468 4138 8469 4139 8469 4137 8469 4140 8470 4137 8470 4139 8470 4136 8471 4138 8471 4137 8471 4141 8472 4137 8472 4140 8472 4142 8473 4137 8473 4141 8473 4143 8474 4137 8474 4142 8474 4129 8475 4137 8475 4143 8475 4144 8476 4139 8476 4138 8476 4140 8477 4139 8477 4145 8477 4146 8478 4145 8478 4139 8478 4144 8479 4146 8479 4139 8479 4147 8480 4138 8480 4136 8480 4147 8481 4144 8481 4138 8481 4148 8482 4136 8482 4127 8482 4147 8483 4136 8483 4149 8483 4150 8484 4149 8484 4136 8484 4148 8485 4150 8485 4136 8485 4151 8486 4152 8486 4127 8486 4153 8487 4127 8487 4152 8487 4130 8488 4151 8488 4127 8488 4154 8489 4127 8489 4153 8489 4155 8490 4148 8490 4127 8490 4156 8491 4155 8491 4127 8491 4157 8492 4156 8492 4127 8492 4158 8493 4157 8493 4127 8493 4159 8494 4158 8494 4127 8494 4160 8495 4159 8495 4127 8495 4161 8496 4160 8496 4127 8496 4162 8497 4161 8497 4127 8497 4154 8498 4162 8498 4127 8498 4163 8499 4111 8499 4152 8499 4164 8500 4152 8500 4111 8500 4165 8501 4163 8501 4152 8501 4151 8502 4165 8502 4152 8502 4153 8503 4152 8503 4164 8503 4166 8504 4123 8504 4111 8504 4163 8505 4166 8505 4111 8505 4167 8506 4111 8506 4115 8506 4164 8507 4111 8507 4167 8507 4168 8508 4124 8508 4120 8508 4169 8509 4131 8509 4124 8509 4169 8510 4124 8510 4168 8510 4170 8511 4120 8511 4123 8511 4170 8512 4168 8512 4120 8512 4171 8513 4123 8513 4166 8513 4170 8514 4123 8514 4171 8514 4172 8515 4166 8515 4163 8515 4171 8516 4166 8516 4172 8516 4173 8517 4163 8517 4165 8517 4172 8518 4163 8518 4173 8518 4174 8519 4165 8519 4151 8519 4173 8520 4165 8520 4174 8520 4175 8521 4151 8521 4130 8521 4174 8522 4151 8522 4175 8522 4176 8523 4130 8523 4132 8523 4175 8524 4130 8524 4176 8524 4177 8525 4132 8525 4133 8525 4176 8526 4132 8526 4177 8526 4178 8527 4133 8527 4134 8527 4177 8528 4133 8528 4178 8528 4179 8529 4134 8529 4131 8529 4178 8530 4134 8530 4179 8530 4179 8531 4131 8531 4169 8531 4180 8532 4140 8532 4145 8532 4181 8533 4145 8533 4115 8533 4182 8534 4115 8534 4145 8534 4183 8535 4180 8535 4145 8535 4184 8536 4183 8536 4145 8536 4181 8537 4185 8537 4145 8537 4186 8538 4145 8538 4185 8538 4186 8539 4187 8539 4145 8539 4188 8540 4145 8540 4187 8540 4189 8541 4184 8541 4145 8541 4188 8542 4189 8542 4145 8542 4190 8543 4145 8543 4146 8543 4191 8544 4182 8544 4145 8544 4192 8545 4191 8545 4145 8545 4193 8546 4192 8546 4145 8546 4190 8547 4193 8547 4145 8547 4194 8548 4141 8548 4140 8548 4195 8549 4194 8549 4140 8549 4180 8550 4195 8550 4140 8550 4196 8551 4197 8551 4141 8551 4198 8552 4141 8552 4197 8552 4199 8553 4196 8553 4141 8553 4194 8554 4199 8554 4141 8554 4198 8555 4142 8555 4141 8555 4200 8556 4201 8556 4197 8556 4198 8557 4197 8557 4201 8557 4202 8558 4200 8558 4197 8558 4196 8559 4202 8559 4197 8559 4200 8560 4203 8560 4201 8560 4204 8561 4201 8561 4203 8561 4204 8562 4198 8562 4201 8562 4205 8563 4206 8563 4203 8563 4207 8564 4203 8564 4206 8564 4200 8565 4208 8565 4203 8565 4209 8566 4203 8566 4208 8566 4209 8567 4205 8567 4203 8567 4210 8568 4204 8568 4203 8568 4207 8569 4210 8569 4203 8569 4211 8570 4116 8570 4206 8570 4117 8571 4206 8571 4116 8571 4212 8572 4206 8572 4213 8572 4214 8573 4213 8573 4206 8573 4215 8574 4211 8574 4206 8574 4212 8575 4215 8575 4206 8575 4216 8576 4214 8576 4206 8576 4205 8577 4216 8577 4206 8577 4117 8578 4207 8578 4206 8578 4217 8579 4115 8579 4116 8579 4218 8580 4219 8580 4116 8580 4220 8581 4116 8581 4219 8581 4221 8582 4218 8582 4116 8582 4222 8583 4221 8583 4116 8583 4211 8584 4222 8584 4116 8584 4223 8585 4116 8585 4220 8585 4224 8586 4217 8586 4116 8586 4225 8587 4224 8587 4116 8587 4223 8588 4225 8588 4116 8588 4226 8589 4181 8589 4115 8589 4217 8590 4226 8590 4115 8590 4227 8591 4167 8591 4115 8591 4228 8592 4227 8592 4115 8592 4228 8593 4115 8593 4182 8593 4229 8594 4230 8594 4231 8594 4232 8595 4231 8595 4230 8595 4233 8596 4231 8596 4234 8596 4235 8597 4234 8597 4231 8597 4233 8598 4236 8598 4231 8598 4237 8599 4231 8599 4236 8599 4229 8600 4231 8600 4237 8600 4232 8601 4235 8601 4231 8601 4238 8602 4239 8602 4230 8602 4240 8603 4230 8603 4239 8603 4229 8604 4238 8604 4230 8604 4240 8605 4232 8605 4230 8605 4241 8606 4213 8606 4239 8606 4242 8607 4239 8607 4213 8607 4221 8608 4239 8608 4238 8608 4222 8609 4239 8609 4221 8609 4243 8610 4241 8610 4239 8610 4222 8611 4243 8611 4239 8611 4242 8612 4240 8612 4239 8612 4244 8613 4245 8613 4213 8613 4246 8614 4213 8614 4245 8614 4212 8615 4213 8615 4241 8615 4214 8616 4244 8616 4213 8616 4246 8617 4242 8617 4213 8617 4247 8618 4248 8618 4245 8618 4249 8619 4245 8619 4248 8619 4247 8620 4245 8620 4244 8620 4249 8621 4246 8621 4245 8621 4250 8622 4251 8622 4248 8622 4252 8623 4248 8623 4251 8623 4250 8624 4248 8624 4253 8624 4209 8625 4253 8625 4248 8625 4247 8626 4209 8626 4248 8626 4249 8627 4248 8627 4252 8627 4254 8628 4255 8628 4251 8628 4256 8629 4251 8629 4255 8629 4250 8630 4254 8630 4251 8630 4256 8631 4252 8631 4251 8631 4257 8632 4258 8632 4255 8632 4259 8633 4255 8633 4258 8633 4194 8634 4255 8634 4254 8634 4195 8635 4255 8635 4194 8635 4260 8636 4257 8636 4255 8636 4195 8637 4260 8637 4255 8637 4259 8638 4256 8638 4255 8638 4261 8639 4234 8639 4258 8639 4262 8640 4258 8640 4234 8640 4263 8641 4258 8641 4257 8641 4264 8642 4258 8642 4263 8642 4265 8643 4261 8643 4258 8643 4264 8644 4265 8644 4258 8644 4262 8645 4259 8645 4258 8645 4233 8646 4234 8646 4261 8646 4235 8647 4262 8647 4234 8647 4209 8648 4266 8648 4253 8648 4267 8649 4253 8649 4266 8649 4250 8650 4253 8650 4268 8650 4269 8651 4268 8651 4253 8651 4269 8652 4253 8652 4267 8652 4209 8653 4208 8653 4266 8653 4270 8654 4266 8654 4208 8654 4267 8655 4266 8655 4270 8655 4271 8656 4208 8656 4200 8656 4270 8657 4208 8657 4271 8657 4272 8658 4200 8658 4202 8658 4271 8659 4200 8659 4272 8659 4273 8660 4268 8660 4202 8660 4274 8661 4202 8661 4268 8661 4196 8662 4273 8662 4202 8662 4274 8663 4272 8663 4202 8663 4273 8664 4250 8664 4268 8664 4274 8665 4268 8665 4269 8665 4275 8666 4254 8666 4250 8666 4276 8667 4194 8667 4254 8667 4276 8668 4254 8668 4275 8668 4277 8669 4250 8669 4273 8669 4275 8670 4250 8670 4277 8670 4278 8671 4273 8671 4196 8671 4277 8672 4273 8672 4278 8672 4279 8673 4196 8673 4199 8673 4278 8674 4196 8674 4279 8674 4280 8675 4199 8675 4194 8675 4280 8676 4279 8676 4199 8676 4280 8677 4194 8677 4276 8677 4281 8678 4257 8678 4260 8678 4282 8679 4263 8679 4257 8679 4282 8680 4257 8680 4281 8680 4283 8681 4260 8681 4195 8681 4281 8682 4260 8682 4283 8682 4284 8683 4195 8683 4180 8683 4283 8684 4195 8684 4284 8684 4285 8685 4180 8685 4183 8685 4284 8686 4180 8686 4285 8686 4184 8687 4263 8687 4183 8687 4286 8688 4183 8688 4263 8688 4286 8689 4285 8689 4183 8689 4184 8690 4264 8690 4263 8690 4286 8691 4263 8691 4282 8691 4287 8692 4261 8692 4265 8692 4288 8693 4233 8693 4261 8693 4288 8694 4261 8694 4287 8694 4289 8695 4265 8695 4264 8695 4287 8696 4265 8696 4289 8696 4290 8697 4291 8697 4264 8697 4292 8698 4264 8698 4291 8698 4184 8699 4290 8699 4264 8699 4289 8700 4264 8700 4292 8700 4293 8701 4236 8701 4291 8701 4294 8702 4291 8702 4236 8702 4290 8703 4293 8703 4291 8703 4292 8704 4291 8704 4294 8704 4295 8705 4236 8705 4233 8705 4296 8706 4237 8706 4236 8706 4297 8707 4296 8707 4236 8707 4293 8708 4297 8708 4236 8708 4295 8709 4294 8709 4236 8709 4295 8710 4233 8710 4288 8710 4298 8711 4237 8711 4296 8711 4229 8712 4237 8712 4299 8712 4300 8713 4299 8713 4237 8713 4300 8714 4237 8714 4298 8714 4301 8715 4302 8715 4296 8715 4303 8716 4296 8716 4302 8716 4297 8717 4301 8717 4296 8717 4298 8718 4296 8718 4303 8718 4304 8719 4305 8719 4302 8719 4306 8720 4302 8720 4305 8720 4301 8721 4304 8721 4302 8721 4303 8722 4302 8722 4306 8722 4307 8723 4308 8723 4305 8723 4309 8724 4305 8724 4308 8724 4310 8725 4307 8725 4305 8725 4304 8726 4310 8726 4305 8726 4306 8727 4305 8727 4309 8727 4311 8728 4299 8728 4308 8728 4312 8729 4308 8729 4299 8729 4219 8730 4311 8730 4308 8730 4307 8731 4219 8731 4308 8731 4312 8732 4309 8732 4308 8732 4311 8733 4229 8733 4299 8733 4312 8734 4299 8734 4300 8734 4313 8735 4238 8735 4229 8735 4314 8736 4221 8736 4238 8736 4314 8737 4238 8737 4313 8737 4315 8738 4229 8738 4311 8738 4313 8739 4229 8739 4315 8739 4316 8740 4311 8740 4219 8740 4315 8741 4311 8741 4316 8741 4317 8742 4219 8742 4218 8742 4307 8743 4220 8743 4219 8743 4316 8744 4219 8744 4317 8744 4318 8745 4218 8745 4221 8745 4318 8746 4317 8746 4218 8746 4318 8747 4221 8747 4314 8747 4319 8748 4241 8748 4243 8748 4320 8749 4212 8749 4241 8749 4320 8750 4241 8750 4319 8750 4321 8751 4243 8751 4222 8751 4319 8752 4243 8752 4321 8752 4322 8753 4222 8753 4211 8753 4321 8754 4222 8754 4322 8754 4323 8755 4211 8755 4215 8755 4322 8756 4211 8756 4323 8756 4324 8757 4215 8757 4212 8757 4324 8758 4323 8758 4215 8758 4324 8759 4212 8759 4320 8759 4325 8760 4244 8760 4214 8760 4326 8761 4247 8761 4244 8761 4326 8762 4244 8762 4325 8762 4327 8763 4214 8763 4216 8763 4325 8764 4214 8764 4327 8764 4328 8765 4216 8765 4205 8765 4327 8766 4216 8766 4328 8766 4329 8767 4205 8767 4209 8767 4328 8768 4205 8768 4329 8768 4330 8769 4209 8769 4247 8769 4330 8770 4329 8770 4209 8770 4330 8771 4247 8771 4326 8771 4331 8772 4332 8772 4333 8772 4334 8773 4333 8773 4332 8773 4335 8774 4333 8774 4336 8774 4337 8775 4336 8775 4333 8775 4331 8776 4333 8776 4338 8776 4339 8777 4338 8777 4333 8777 4335 8778 4339 8778 4333 8778 4337 8779 4333 8779 4334 8779 4340 8780 4341 8780 4332 8780 4342 8781 4332 8781 4341 8781 4331 8782 4340 8782 4332 8782 4342 8783 4334 8783 4332 8783 4343 8784 4344 8784 4341 8784 4345 8785 4341 8785 4344 8785 4340 8786 4343 8786 4341 8786 4342 8787 4341 8787 4345 8787 4346 8788 4347 8788 4344 8788 4348 8789 4344 8789 4347 8789 4343 8790 4349 8790 4344 8790 4346 8791 4344 8791 4349 8791 4345 8792 4344 8792 4348 8792 4335 8793 4336 8793 4347 8793 4350 8794 4347 8794 4336 8794 4346 8795 4335 8795 4347 8795 4348 8796 4347 8796 4350 8796 4350 8797 4336 8797 4337 8797 4339 8798 4351 8798 4338 8798 4352 8799 4338 8799 4351 8799 4353 8800 4331 8800 4338 8800 4353 8801 4338 8801 4352 8801 4354 8802 4355 8802 4351 8802 4356 8803 4351 8803 4355 8803 4339 8804 4354 8804 4351 8804 4356 8805 4352 8805 4351 8805 4357 8806 4358 8806 4355 8806 4359 8807 4355 8807 4358 8807 4360 8808 4357 8808 4355 8808 4354 8809 4360 8809 4355 8809 4356 8810 4355 8810 4359 8810 4223 8811 4220 8811 4358 8811 4361 8812 4358 8812 4220 8812 4357 8813 4223 8813 4358 8813 4359 8814 4358 8814 4361 8814 4362 8815 4220 8815 4307 8815 4362 8816 4361 8816 4220 8816 4363 8817 4307 8817 4310 8817 4362 8818 4307 8818 4363 8818 4364 8819 4310 8819 4304 8819 4365 8820 4363 8820 4310 8820 4364 8821 4365 8821 4310 8821 4364 8822 4304 8822 4301 8822 4366 8823 4301 8823 4297 8823 4366 8824 4364 8824 4301 8824 4367 8825 4297 8825 4293 8825 4367 8826 4366 8826 4297 8826 4368 8827 4293 8827 4290 8827 4367 8828 4293 8828 4368 8828 4184 8829 4369 8829 4290 8829 4370 8830 4290 8830 4369 8830 4368 8831 4290 8831 4370 8831 4371 8832 4372 8832 4369 8832 4373 8833 4369 8833 4372 8833 4374 8834 4371 8834 4369 8834 4375 8835 4374 8835 4369 8835 4184 8836 4375 8836 4369 8836 4370 8837 4369 8837 4373 8837 4376 8838 4377 8838 4372 8838 4378 8839 4372 8839 4377 8839 4371 8840 4376 8840 4372 8840 4373 8841 4372 8841 4378 8841 4379 8842 4380 8842 4377 8842 4381 8843 4377 8843 4380 8843 4376 8844 4379 8844 4377 8844 4378 8845 4377 8845 4381 8845 4382 8846 4383 8846 4380 8846 4384 8847 4380 8847 4383 8847 4382 8848 4380 8848 4379 8848 4381 8849 4380 8849 4384 8849 4382 8850 4385 8850 4383 8850 4386 8851 4383 8851 4385 8851 4384 8852 4383 8852 4386 8852 4382 8853 4349 8853 4385 8853 4387 8854 4385 8854 4349 8854 4386 8855 4385 8855 4387 8855 4388 8856 4349 8856 4343 8856 4382 8857 4346 8857 4349 8857 4387 8858 4349 8858 4388 8858 4389 8859 4343 8859 4340 8859 4389 8860 4388 8860 4343 8860 4390 8861 4340 8861 4331 8861 4390 8862 4389 8862 4340 8862 4353 8863 4390 8863 4331 8863 4376 8864 4391 8864 4379 8864 4392 8865 4379 8865 4391 8865 4393 8866 4382 8866 4379 8866 4392 8867 4393 8867 4379 8867 4186 8868 4185 8868 4391 8868 4394 8869 4391 8869 4185 8869 4395 8870 4186 8870 4391 8870 4376 8871 4395 8871 4391 8871 4392 8872 4391 8872 4394 8872 4396 8873 4185 8873 4181 8873 4394 8874 4185 8874 4396 8874 4397 8875 4181 8875 4226 8875 4397 8876 4396 8876 4181 8876 4398 8877 4226 8877 4217 8877 4398 8878 4397 8878 4226 8878 4399 8879 4217 8879 4224 8879 4398 8880 4217 8880 4399 8880 4400 8881 4224 8881 4225 8881 4399 8882 4224 8882 4400 8882 4401 8883 4225 8883 4223 8883 4401 8884 4400 8884 4225 8884 4402 8885 4223 8885 4357 8885 4401 8886 4223 8886 4402 8886 4403 8887 4357 8887 4360 8887 4402 8888 4357 8888 4403 8888 4404 8889 4360 8889 4354 8889 4403 8890 4360 8890 4404 8890 4405 8891 4354 8891 4339 8891 4404 8892 4354 8892 4405 8892 4406 8893 4339 8893 4335 8893 4405 8894 4339 8894 4406 8894 4407 8895 4335 8895 4346 8895 4408 8896 4406 8896 4335 8896 4407 8897 4408 8897 4335 8897 4407 8898 4346 8898 4382 8898 4393 8899 4407 8899 4382 8899 4409 8900 4187 8900 4186 8900 4410 8901 4188 8901 4187 8901 4410 8902 4187 8902 4409 8902 4411 8903 4186 8903 4395 8903 4409 8904 4186 8904 4411 8904 4412 8905 4395 8905 4376 8905 4412 8906 4411 8906 4395 8906 4413 8907 4376 8907 4371 8907 4412 8908 4376 8908 4413 8908 4414 8909 4371 8909 4374 8909 4413 8910 4371 8910 4414 8910 4415 8911 4374 8911 4375 8911 4414 8912 4374 8912 4415 8912 4416 8913 4375 8913 4184 8913 4415 8914 4375 8914 4416 8914 4417 8915 4184 8915 4189 8915 4416 8916 4184 8916 4417 8916 4418 8917 4189 8917 4188 8917 4418 8918 4417 8918 4189 8918 4410 8919 4418 8919 4188 8919 4419 8920 4252 8920 4256 8920 4420 8921 4249 8921 4252 8921 4419 8922 4421 8922 4252 8922 4420 8923 4252 8923 4421 8923 4422 8924 4256 8924 4259 8924 4422 8925 4419 8925 4256 8925 4422 8926 4259 8926 4262 8926 4423 8927 4262 8927 4235 8927 4423 8928 4422 8928 4262 8928 4424 8929 4235 8929 4232 8929 4424 8930 4423 8930 4235 8930 4425 8931 4232 8931 4240 8931 4426 8932 4424 8932 4232 8932 4425 8933 4426 8933 4232 8933 4427 8934 4240 8934 4242 8934 4427 8935 4425 8935 4240 8935 4427 8936 4242 8936 4246 8936 4428 8937 4246 8937 4249 8937 4428 8938 4427 8938 4246 8938 4420 8939 4428 8939 4249 8939 4429 8940 4167 8940 4227 8940 4164 8941 4167 8941 4429 8941 4430 8942 4429 8942 4227 8942 4228 8943 4430 8943 4227 8943 4431 8944 4142 8944 4198 8944 4143 8945 4142 8945 4431 8945 4432 8946 4198 8946 4204 8946 4431 8947 4198 8947 4432 8947 4432 8948 4204 8948 4210 8948 4433 8949 4210 8949 4207 8949 4434 8950 4210 8950 4433 8950 4432 8951 4210 8951 4434 8951 4435 8952 4207 8952 4117 8952 4436 8953 4207 8953 4435 8953 4433 8954 4207 8954 4436 8954 4437 8955 4117 8955 4114 8955 4435 8956 4117 8956 4437 8956 4437 8957 4114 8957 4119 8957 4438 8958 4119 8958 4122 8958 4437 8959 4119 8959 4438 8959 4439 8960 4122 8960 4126 8960 4438 8961 4122 8961 4439 8961 4439 8962 4126 8962 4440 8962 4135 8963 4440 8963 4126 8963 4147 8964 4146 8964 4144 8964 4441 8965 4190 8965 4146 8965 4149 8966 4441 8966 4146 8966 4147 8967 4149 8967 4146 8967 4442 8968 4182 8968 4191 8968 4443 8969 4228 8969 4182 8969 4443 8970 4182 8970 4442 8970 4444 8971 4191 8971 4192 8971 4442 8972 4191 8972 4444 8972 4445 8973 4192 8973 4193 8973 4444 8974 4192 8974 4445 8974 4446 8975 4193 8975 4190 8975 4445 8976 4193 8976 4446 8976 4446 8977 4190 8977 4441 8977 4447 8978 4429 8978 4430 8978 4153 8979 4429 8979 4447 8979 4153 8980 4164 8980 4429 8980 4448 8981 4430 8981 4228 8981 4448 8982 4447 8982 4430 8982 4443 8983 4448 8983 4228 8983 4153 8984 4447 8984 4441 8984 4449 8985 4441 8985 4447 8985 4149 8986 4153 8986 4441 8986 4450 8987 4441 8987 4449 8987 4446 8988 4441 8988 4450 8988 4451 8989 4449 8989 4447 8989 4452 8990 4451 8990 4447 8990 4453 8991 4452 8991 4447 8991 4454 8992 4453 8992 4447 8992 4455 8993 4454 8993 4447 8993 4456 8994 4455 8994 4447 8994 4457 8995 4456 8995 4447 8995 4458 8996 4457 8996 4447 8996 4459 8997 4458 8997 4447 8997 4460 8998 4461 8998 4447 8998 4459 8999 4447 8999 4461 8999 4462 9000 4460 9000 4447 9000 4442 9001 4462 9001 4447 9001 4443 9002 4447 9002 4448 9002 4443 9003 4442 9003 4447 9003 4463 9004 4153 9004 4149 9004 4154 9005 4153 9005 4463 9005 4464 9006 4465 9006 4149 9006 4466 9007 4149 9007 4465 9007 4150 9008 4464 9008 4149 9008 4467 9009 4149 9009 4466 9009 4468 9010 4469 9010 4149 9010 4470 9011 4149 9011 4469 9011 4467 9012 4468 9012 4149 9012 4471 9013 4472 9013 4149 9013 4473 9014 4149 9014 4472 9014 4470 9015 4471 9015 4149 9015 4473 9016 4463 9016 4149 9016 4449 9017 4465 9017 4464 9017 4451 9018 4466 9018 4465 9018 4451 9019 4465 9019 4449 9019 4450 9020 4464 9020 4150 9020 4450 9021 4449 9021 4464 9021 4474 9022 4150 9022 4148 9022 4450 9023 4150 9023 4474 9023 4475 9024 4148 9024 4155 9024 4474 9025 4148 9025 4475 9025 4156 9026 4466 9026 4155 9026 4452 9027 4155 9027 4466 9027 4475 9028 4155 9028 4452 9028 4156 9029 4467 9029 4466 9029 4452 9030 4466 9030 4451 9030 4453 9031 4469 9031 4468 9031 4470 9032 4469 9032 4476 9032 4454 9033 4476 9033 4469 9033 4454 9034 4469 9034 4453 9034 4477 9035 4468 9035 4467 9035 4477 9036 4453 9036 4468 9036 4478 9037 4467 9037 4156 9037 4477 9038 4467 9038 4478 9038 4479 9039 4156 9039 4157 9039 4478 9040 4156 9040 4479 9040 4158 9041 4476 9041 4157 9041 4455 9042 4157 9042 4476 9042 4479 9043 4157 9043 4455 9043 4158 9044 4470 9044 4476 9044 4455 9045 4476 9045 4454 9045 4456 9046 4472 9046 4471 9046 4480 9047 4472 9047 4160 9047 4457 9048 4160 9048 4472 9048 4480 9049 4473 9049 4472 9049 4457 9050 4472 9050 4456 9050 4481 9051 4471 9051 4470 9051 4481 9052 4456 9052 4471 9052 4482 9053 4470 9053 4158 9053 4481 9054 4470 9054 4482 9054 4483 9055 4158 9055 4159 9055 4482 9056 4158 9056 4483 9056 4458 9057 4159 9057 4160 9057 4483 9058 4159 9058 4458 9058 4161 9059 4480 9059 4160 9059 4458 9060 4160 9060 4457 9060 4461 9061 4463 9061 4473 9061 4460 9062 4154 9062 4463 9062 4460 9063 4463 9063 4461 9063 4459 9064 4473 9064 4480 9064 4459 9065 4461 9065 4473 9065 4484 9066 4480 9066 4161 9066 4459 9067 4480 9067 4484 9067 4485 9068 4161 9068 4162 9068 4484 9069 4161 9069 4485 9069 4462 9070 4162 9070 4154 9070 4485 9071 4162 9071 4462 9071 4462 9072 4154 9072 4460 9072 4444 9073 4475 9073 4452 9073 4477 9074 4452 9074 4453 9074 4444 9075 4452 9075 4477 9075 4444 9076 4474 9076 4475 9076 4444 9077 4450 9077 4474 9077 4445 9078 4446 9078 4450 9078 4444 9079 4445 9079 4450 9079 4481 9080 4479 9080 4455 9080 4481 9081 4455 9081 4456 9081 4444 9082 4478 9082 4479 9082 4444 9083 4479 9083 4481 9083 4444 9084 4477 9084 4478 9084 4459 9085 4483 9085 4458 9085 4444 9086 4482 9086 4483 9086 4459 9087 4484 9087 4483 9087 4444 9088 4483 9088 4484 9088 4444 9089 4481 9089 4482 9089 4442 9090 4485 9090 4462 9090 4444 9091 4484 9091 4485 9091 4442 9092 4444 9092 4485 9092 4486 9093 4487 9093 4488 9093 4267 9094 4488 9094 4487 9094 4489 9095 4488 9095 4490 9095 4270 9096 4490 9096 4488 9096 4486 9097 4488 9097 4489 9097 4267 9098 4270 9098 4488 9098 4486 9099 4491 9099 4487 9099 4269 9100 4487 9100 4491 9100 4269 9101 4267 9101 4487 9101 4492 9102 4493 9102 4491 9102 4274 9103 4491 9103 4493 9103 4494 9104 4491 9104 4486 9104 4494 9105 4492 9105 4491 9105 4274 9106 4269 9106 4491 9106 4495 9107 4496 9107 4493 9107 4272 9108 4493 9108 4496 9108 4492 9109 4495 9109 4493 9109 4274 9110 4493 9110 4272 9110 4495 9111 4490 9111 4496 9111 4271 9112 4496 9112 4490 9112 4271 9113 4272 9113 4496 9113 4497 9114 4489 9114 4490 9114 4495 9115 4497 9115 4490 9115 4270 9116 4271 9116 4490 9116 4498 9117 4499 9117 4500 9117 4275 9118 4500 9118 4499 9118 4486 9119 4500 9119 4501 9119 4277 9120 4501 9120 4500 9120 4486 9121 4498 9121 4500 9121 4275 9122 4277 9122 4500 9122 4498 9123 4502 9123 4499 9123 4276 9124 4499 9124 4502 9124 4276 9125 4275 9125 4499 9125 4503 9126 4504 9126 4502 9126 4280 9127 4502 9127 4504 9127 4498 9128 4505 9128 4502 9128 4503 9129 4502 9129 4505 9129 4280 9130 4276 9130 4502 9130 4494 9131 4506 9131 4504 9131 4279 9132 4504 9132 4506 9132 4503 9133 4494 9133 4504 9133 4280 9134 4504 9134 4279 9134 4494 9135 4501 9135 4506 9135 4278 9136 4506 9136 4501 9136 4278 9137 4279 9137 4506 9137 4494 9138 4486 9138 4501 9138 4277 9139 4278 9139 4501 9139 4507 9140 4508 9140 4505 9140 4281 9141 4505 9141 4508 9141 4503 9142 4505 9142 4509 9142 4283 9143 4509 9143 4505 9143 4507 9144 4505 9144 4498 9144 4281 9145 4283 9145 4505 9145 4507 9146 4510 9146 4508 9146 4282 9147 4508 9147 4510 9147 4282 9148 4281 9148 4508 9148 4511 9149 4512 9149 4510 9149 4286 9150 4510 9150 4512 9150 4507 9151 4511 9151 4510 9151 4286 9152 4282 9152 4510 9152 4513 9153 4514 9153 4512 9153 4285 9154 4512 9154 4514 9154 4513 9155 4512 9155 4511 9155 4286 9156 4512 9156 4285 9156 4513 9157 4509 9157 4514 9157 4284 9158 4514 9158 4509 9158 4284 9159 4285 9159 4514 9159 4513 9160 4503 9160 4509 9160 4283 9161 4284 9161 4509 9161 4515 9162 4516 9162 4517 9162 4287 9163 4517 9163 4516 9163 4518 9164 4517 9164 4519 9164 4289 9165 4519 9165 4517 9165 4518 9166 4515 9166 4517 9166 4287 9167 4289 9167 4517 9167 4520 9168 4521 9168 4516 9168 4288 9169 4516 9169 4521 9169 4520 9170 4516 9170 4515 9170 4288 9171 4287 9171 4516 9171 4522 9172 4523 9172 4521 9172 4295 9173 4521 9173 4523 9173 4520 9174 4522 9174 4521 9174 4295 9175 4288 9175 4521 9175 4522 9176 4524 9176 4523 9176 4294 9177 4523 9177 4524 9177 4295 9178 4523 9178 4294 9178 4518 9179 4519 9179 4524 9179 4292 9180 4524 9180 4519 9180 4507 9181 4518 9181 4524 9181 4522 9182 4507 9182 4524 9182 4292 9183 4294 9183 4524 9183 4289 9184 4292 9184 4519 9184 4525 9185 4526 9185 4527 9185 4298 9186 4527 9186 4526 9186 4528 9187 4527 9187 4529 9187 4303 9188 4529 9188 4527 9188 4528 9189 4525 9189 4527 9189 4298 9190 4303 9190 4527 9190 4525 9191 4530 9191 4526 9191 4300 9192 4526 9192 4530 9192 4300 9193 4298 9193 4526 9193 4531 9194 4532 9194 4530 9194 4312 9195 4530 9195 4532 9195 4533 9196 4530 9196 4525 9196 4533 9197 4531 9197 4530 9197 4312 9198 4300 9198 4530 9198 4520 9199 4534 9199 4532 9199 4309 9200 4532 9200 4534 9200 4531 9201 4520 9201 4532 9201 4312 9202 4532 9202 4309 9202 4520 9203 4529 9203 4534 9203 4306 9204 4534 9204 4529 9204 4306 9205 4309 9205 4534 9205 4515 9206 4528 9206 4529 9206 4520 9207 4515 9207 4529 9207 4303 9208 4306 9208 4529 9208 4535 9209 4536 9209 4537 9209 4313 9210 4537 9210 4536 9210 4525 9211 4537 9211 4538 9211 4315 9212 4538 9212 4537 9212 4525 9213 4535 9213 4537 9213 4313 9214 4315 9214 4537 9214 4535 9215 4539 9215 4536 9215 4314 9216 4536 9216 4539 9216 4314 9217 4313 9217 4536 9217 4540 9218 4541 9218 4539 9218 4318 9219 4539 9219 4541 9219 4535 9220 4542 9220 4539 9220 4540 9221 4539 9221 4542 9221 4318 9222 4314 9222 4539 9222 4533 9223 4543 9223 4541 9223 4317 9224 4541 9224 4543 9224 4540 9225 4533 9225 4541 9225 4318 9226 4541 9226 4317 9226 4533 9227 4538 9227 4543 9227 4316 9228 4543 9228 4538 9228 4316 9229 4317 9229 4543 9229 4533 9230 4525 9230 4538 9230 4315 9231 4316 9231 4538 9231 4544 9232 4545 9232 4542 9232 4319 9233 4542 9233 4545 9233 4540 9234 4542 9234 4546 9234 4321 9235 4546 9235 4542 9235 4544 9236 4542 9236 4535 9236 4319 9237 4321 9237 4542 9237 4544 9238 4547 9238 4545 9238 4320 9239 4545 9239 4547 9239 4320 9240 4319 9240 4545 9240 4548 9241 4549 9241 4547 9241 4324 9242 4547 9242 4549 9242 4544 9243 4548 9243 4547 9243 4324 9244 4320 9244 4547 9244 4550 9245 4551 9245 4549 9245 4323 9246 4549 9246 4551 9246 4548 9247 4550 9247 4549 9247 4324 9248 4549 9248 4323 9248 4550 9249 4546 9249 4551 9249 4322 9250 4551 9250 4546 9250 4322 9251 4323 9251 4551 9251 4550 9252 4540 9252 4546 9252 4321 9253 4322 9253 4546 9253 4497 9254 4552 9254 4553 9254 4325 9255 4553 9255 4552 9255 4554 9256 4553 9256 4555 9256 4327 9257 4555 9257 4553 9257 4554 9258 4497 9258 4553 9258 4325 9259 4327 9259 4553 9259 4495 9260 4556 9260 4552 9260 4326 9261 4552 9261 4556 9261 4495 9262 4552 9262 4497 9262 4326 9263 4325 9263 4552 9263 4557 9264 4558 9264 4556 9264 4330 9265 4556 9265 4558 9265 4495 9266 4557 9266 4556 9266 4330 9267 4326 9267 4556 9267 4557 9268 4559 9268 4558 9268 4329 9269 4558 9269 4559 9269 4330 9270 4558 9270 4329 9270 4554 9271 4555 9271 4559 9271 4328 9272 4559 9272 4555 9272 4544 9273 4554 9273 4559 9273 4557 9274 4544 9274 4559 9274 4328 9275 4329 9275 4559 9275 4327 9276 4328 9276 4555 9276 4421 9277 4489 9277 4497 9277 4419 9278 4486 9278 4489 9278 4419 9279 4489 9279 4421 9279 4420 9280 4497 9280 4554 9280 4420 9281 4421 9281 4497 9281 4544 9282 4535 9282 4554 9282 4428 9283 4554 9283 4535 9283 4420 9284 4554 9284 4428 9284 4427 9285 4535 9285 4525 9285 4428 9286 4535 9286 4427 9286 4425 9287 4525 9287 4528 9287 4427 9288 4525 9288 4425 9288 4426 9289 4528 9289 4515 9289 4425 9290 4528 9290 4426 9290 4424 9291 4515 9291 4518 9291 4426 9292 4515 9292 4424 9292 4507 9293 4498 9293 4518 9293 4423 9294 4518 9294 4498 9294 4424 9295 4518 9295 4423 9295 4422 9296 4498 9296 4486 9296 4423 9297 4498 9297 4422 9297 4422 9298 4486 9298 4419 9298 4560 9299 4511 9299 4507 9299 4561 9300 4513 9300 4511 9300 4561 9301 4511 9301 4560 9301 4562 9302 4507 9302 4522 9302 4560 9303 4507 9303 4562 9303 4562 9304 4522 9304 4520 9304 4563 9305 4520 9305 4531 9305 4562 9306 4520 9306 4563 9306 4564 9307 4531 9307 4533 9307 4563 9308 4531 9308 4564 9308 4565 9309 4533 9309 4540 9309 4564 9310 4533 9310 4565 9310 4565 9311 4540 9311 4550 9311 4566 9312 4550 9312 4548 9312 4565 9313 4550 9313 4566 9313 4567 9314 4548 9314 4544 9314 4566 9315 4548 9315 4567 9315 4568 9316 4544 9316 4557 9316 4568 9317 4567 9317 4544 9317 4568 9318 4557 9318 4495 9318 4569 9319 4495 9319 4492 9319 4568 9320 4495 9320 4569 9320 4570 9321 4492 9321 4494 9321 4569 9322 4492 9322 4570 9322 4571 9323 4494 9323 4503 9323 4570 9324 4494 9324 4571 9324 4571 9325 4503 9325 4513 9325 4571 9326 4513 9326 4561 9326 4438 9327 4566 9327 4567 9327 4437 9328 4438 9328 4567 9328 4568 9329 4437 9329 4567 9329 4438 9330 4565 9330 4566 9330 4440 9331 4564 9331 4565 9331 4439 9332 4440 9332 4565 9332 4438 9333 4439 9333 4565 9333 4572 9334 4563 9334 4564 9334 4440 9335 4572 9335 4564 9335 4573 9336 4562 9336 4563 9336 4572 9337 4573 9337 4563 9337 4574 9338 4560 9338 4562 9338 4573 9339 4574 9339 4562 9339 4575 9340 4560 9340 4574 9340 4575 9341 4561 9341 4560 9341 4129 9342 4574 9342 4573 9342 4431 9343 4575 9343 4574 9343 4143 9344 4431 9344 4574 9344 4129 9345 4143 9345 4574 9345 4135 9346 4573 9346 4572 9346 4135 9347 4129 9347 4573 9347 4135 9348 4572 9348 4440 9348 4435 9349 4437 9349 4568 9349 4575 9350 4571 9350 4561 9350 4433 9351 4570 9351 4571 9351 4434 9352 4433 9352 4571 9352 4575 9353 4434 9353 4571 9353 4436 9354 4569 9354 4570 9354 4433 9355 4436 9355 4570 9355 4435 9356 4568 9356 4569 9356 4436 9357 4435 9357 4569 9357 4432 9358 4434 9358 4575 9358 4431 9359 4432 9359 4575 9359 4342 9360 4169 9360 4168 9360 4334 9361 4168 9361 4170 9361 4342 9362 4168 9362 4334 9362 4177 9363 4179 9363 4169 9363 4342 9364 4177 9364 4169 9364 4177 9365 4178 9365 4179 9365 4345 9366 4176 9366 4177 9366 4342 9367 4345 9367 4177 9367 4348 9368 4175 9368 4176 9368 4345 9369 4348 9369 4176 9369 4350 9370 4174 9370 4175 9370 4348 9371 4350 9371 4175 9371 4171 9372 4173 9372 4174 9372 4350 9373 4171 9373 4174 9373 4171 9374 4172 9374 4173 9374 4337 9375 4170 9375 4171 9375 4350 9376 4337 9376 4171 9376 4337 9377 4334 9377 4170 9377 4400 9378 4406 9378 4408 9378 4405 9379 4406 9379 4400 9379 4400 9380 4408 9380 4407 9380 4392 9381 4407 9381 4393 9381 4399 9382 4400 9382 4407 9382 4392 9383 4399 9383 4407 9383 4359 9384 4353 9384 4352 9384 4356 9385 4359 9385 4352 9385 4378 9386 4388 9386 4389 9386 4378 9387 4387 9387 4388 9387 4378 9388 4389 9388 4390 9388 4378 9389 4390 9389 4353 9389 4359 9390 4365 9390 4353 9390 4378 9391 4353 9391 4365 9391 4404 9392 4405 9392 4400 9392 4403 9393 4404 9393 4400 9393 4401 9394 4403 9394 4400 9394 4394 9395 4398 9395 4399 9395 4392 9396 4394 9396 4399 9396 4362 9397 4363 9397 4365 9397 4378 9398 4365 9398 4364 9398 4359 9399 4361 9399 4365 9399 4362 9400 4365 9400 4361 9400 4373 9401 4364 9401 4366 9401 4373 9402 4378 9402 4364 9402 4370 9403 4373 9403 4366 9403 4368 9404 4370 9404 4366 9404 4367 9405 4368 9405 4366 9405 4413 9406 4417 9406 4418 9406 4414 9407 4416 9407 4417 9407 4413 9408 4414 9408 4417 9408 4412 9409 4418 9409 4410 9409 4412 9410 4413 9410 4418 9410 4398 9411 4396 9411 4397 9411 4394 9412 4396 9412 4398 9412 4412 9413 4409 9413 4411 9413 4412 9414 4410 9414 4409 9414 4401 9415 4402 9415 4403 9415 4378 9416 4386 9416 4387 9416 4378 9417 4384 9417 4386 9417 4378 9418 4381 9418 4384 9418 4414 9419 4415 9419 4416 9419 4576 9420 4577 9420 4578 9420 4579 9421 4578 9421 4577 9421 4580 9422 4578 9422 4581 9422 4582 9423 4581 9423 4578 9423 4576 9424 4578 9424 4580 9424 4579 9425 4582 9425 4578 9425 4583 9426 4584 9426 4577 9426 4585 9427 4577 9427 4584 9427 4586 9428 4583 9428 4577 9428 4576 9429 4586 9429 4577 9429 4585 9430 4579 9430 4577 9430 4587 9431 4581 9431 4584 9431 4588 9432 4584 9432 4581 9432 4583 9433 4587 9433 4584 9433 4585 9434 4584 9434 4588 9434 4589 9435 4580 9435 4581 9435 4587 9436 4589 9436 4581 9436 4582 9437 4588 9437 4581 9437 4590 9438 4580 9438 4589 9438 4591 9439 4576 9439 4580 9439 4590 9440 4591 9440 4580 9440 4592 9441 4589 9441 4587 9441 4593 9442 4589 9442 4592 9442 4590 9443 4589 9443 4593 9443 4594 9444 4587 9444 4583 9444 4592 9445 4587 9445 4594 9445 4595 9446 4583 9446 4586 9446 4595 9447 4594 9447 4583 9447 4596 9448 4586 9448 4576 9448 4596 9449 4597 9449 4586 9449 4595 9450 4586 9450 4597 9450 4596 9451 4576 9451 4591 9451 4598 9452 4588 9452 4582 9452 4598 9453 4599 9453 4588 9453 4585 9454 4588 9454 4599 9454 4600 9455 4582 9455 4579 9455 4600 9456 4598 9456 4582 9456 4600 9457 4579 9457 4601 9457 4585 9458 4601 9458 4579 9458 4585 9459 4599 9459 4601 9459 4602 9460 4601 9460 4599 9460 4603 9461 4600 9461 4601 9461 4602 9462 4603 9462 4601 9462 4604 9463 4599 9463 4598 9463 4604 9464 4602 9464 4599 9464 4605 9465 4598 9465 4600 9465 4604 9466 4598 9466 4605 9466 4603 9467 4605 9467 4600 9467 4602 9468 4605 9468 4603 9468 4604 9469 4605 9469 4602 9469 4606 9470 4607 9470 4608 9470 4609 9471 4608 9471 4607 9471 4610 9472 4608 9472 4611 9472 4612 9473 4611 9473 4608 9473 4610 9474 4606 9474 4608 9474 4612 9475 4608 9475 4609 9475 4613 9476 4614 9476 4607 9476 4615 9477 4607 9477 4614 9477 4613 9478 4607 9478 4606 9478 4615 9479 4609 9479 4607 9479 4616 9480 4617 9480 4614 9480 4618 9481 4614 9481 4617 9481 4613 9482 4616 9482 4614 9482 4615 9483 4614 9483 4618 9483 4619 9484 4620 9484 4617 9484 4621 9485 4617 9485 4620 9485 4616 9486 4619 9486 4617 9486 4618 9487 4617 9487 4621 9487 4622 9488 4611 9488 4620 9488 4623 9489 4620 9489 4611 9489 4619 9490 4622 9490 4620 9490 4621 9491 4620 9491 4623 9491 4622 9492 4610 9492 4611 9492 4623 9493 4611 9493 4612 9493 4624 9494 4606 9494 4610 9494 4625 9495 4613 9495 4606 9495 4624 9496 4625 9496 4606 9496 4626 9497 4610 9497 4622 9497 4624 9498 4610 9498 4626 9498 4627 9499 4622 9499 4619 9499 4626 9500 4622 9500 4627 9500 4628 9501 4619 9501 4616 9501 4627 9502 4619 9502 4628 9502 4629 9503 4616 9503 4613 9503 4628 9504 4616 9504 4629 9504 4629 9505 4613 9505 4625 9505 4592 9506 4612 9506 4609 9506 4593 9507 4592 9507 4609 9507 4615 9508 4593 9508 4609 9508 4594 9509 4623 9509 4612 9509 4592 9510 4594 9510 4612 9510 4597 9511 4621 9511 4623 9511 4594 9512 4597 9512 4623 9512 4596 9513 4621 9513 4597 9513 4618 9514 4621 9514 4596 9514 4595 9515 4597 9515 4594 9515 4615 9516 4591 9516 4593 9516 4590 9517 4593 9517 4591 9517 4618 9518 4596 9518 4591 9518 4615 9519 4618 9519 4591 9519 4628 9520 4629 9520 4625 9520 4624 9521 4628 9521 4625 9521 4624 9522 4627 9522 4628 9522 4624 9523 4626 9523 4627 9523 4630 9524 4631 9524 4632 9524 4633 9525 4632 9525 4631 9525 4634 9526 4632 9526 4635 9526 4636 9527 4635 9527 4632 9527 4630 9528 4632 9528 4634 9528 4633 9529 4636 9529 4632 9529 4637 9530 4638 9530 4631 9530 4639 9531 4631 9531 4638 9531 4640 9532 4637 9532 4631 9532 4630 9533 4640 9533 4631 9533 4639 9534 4633 9534 4631 9534 4641 9535 4635 9535 4638 9535 4642 9536 4638 9536 4635 9536 4637 9537 4641 9537 4638 9537 4639 9538 4638 9538 4642 9538 4643 9539 4634 9539 4635 9539 4641 9540 4643 9540 4635 9540 4636 9541 4642 9541 4635 9541 4644 9542 4634 9542 4643 9542 4645 9543 4630 9543 4634 9543 4644 9544 4645 9544 4634 9544 4646 9545 4643 9545 4641 9545 4647 9546 4643 9546 4646 9546 4644 9547 4643 9547 4647 9547 4648 9548 4641 9548 4637 9548 4646 9549 4641 9549 4648 9549 4649 9550 4637 9550 4640 9550 4649 9551 4648 9551 4637 9551 4650 9552 4640 9552 4630 9552 4650 9553 4651 9553 4640 9553 4649 9554 4640 9554 4651 9554 4650 9555 4630 9555 4645 9555 4652 9556 4642 9556 4636 9556 4652 9557 4653 9557 4642 9557 4639 9558 4642 9558 4653 9558 4654 9559 4636 9559 4633 9559 4654 9560 4652 9560 4636 9560 4654 9561 4633 9561 4655 9561 4639 9562 4655 9562 4633 9562 4639 9563 4653 9563 4655 9563 4656 9564 4655 9564 4653 9564 4657 9565 4654 9565 4655 9565 4656 9566 4657 9566 4655 9566 4658 9567 4653 9567 4652 9567 4658 9568 4656 9568 4653 9568 4659 9569 4652 9569 4654 9569 4658 9570 4652 9570 4659 9570 4657 9571 4659 9571 4654 9571 4656 9572 4659 9572 4657 9572 4658 9573 4659 9573 4656 9573 4660 9574 4661 9574 4662 9574 4663 9575 4662 9575 4661 9575 4664 9576 4662 9576 4665 9576 4666 9577 4665 9577 4662 9577 4664 9578 4660 9578 4662 9578 4666 9579 4662 9579 4663 9579 4667 9580 4668 9580 4661 9580 4669 9581 4661 9581 4668 9581 4667 9582 4661 9582 4660 9582 4669 9583 4663 9583 4661 9583 4670 9584 4671 9584 4668 9584 4672 9585 4668 9585 4671 9585 4667 9586 4670 9586 4668 9586 4669 9587 4668 9587 4672 9587 4673 9588 4674 9588 4671 9588 4675 9589 4671 9589 4674 9589 4670 9590 4673 9590 4671 9590 4672 9591 4671 9591 4675 9591 4676 9592 4665 9592 4674 9592 4677 9593 4674 9593 4665 9593 4673 9594 4676 9594 4674 9594 4675 9595 4674 9595 4677 9595 4676 9596 4664 9596 4665 9596 4677 9597 4665 9597 4666 9597 4678 9598 4660 9598 4664 9598 4679 9599 4667 9599 4660 9599 4678 9600 4679 9600 4660 9600 4680 9601 4664 9601 4676 9601 4678 9602 4664 9602 4680 9602 4681 9603 4676 9603 4673 9603 4680 9604 4676 9604 4681 9604 4682 9605 4673 9605 4670 9605 4681 9606 4673 9606 4682 9606 4683 9607 4670 9607 4667 9607 4682 9608 4670 9608 4683 9608 4683 9609 4667 9609 4679 9609 4646 9610 4666 9610 4663 9610 4647 9611 4646 9611 4663 9611 4669 9612 4647 9612 4663 9612 4648 9613 4677 9613 4666 9613 4646 9614 4648 9614 4666 9614 4651 9615 4675 9615 4677 9615 4648 9616 4651 9616 4677 9616 4650 9617 4675 9617 4651 9617 4672 9618 4675 9618 4650 9618 4649 9619 4651 9619 4648 9619 4669 9620 4645 9620 4647 9620 4644 9621 4647 9621 4645 9621 4672 9622 4650 9622 4645 9622 4669 9623 4672 9623 4645 9623 4682 9624 4683 9624 4679 9624 4678 9625 4682 9625 4679 9625 4678 9626 4681 9626 4682 9626 4678 9627 4680 9627 4681 9627 4684 9628 4685 9628 4686 9628 4687 9629 4686 9629 4685 9629 4688 9630 4686 9630 4689 9630 4690 9631 4689 9631 4686 9631 4684 9632 4686 9632 4688 9632 4687 9633 4690 9633 4686 9633 4691 9634 4692 9634 4685 9634 4693 9635 4685 9635 4692 9635 4694 9636 4691 9636 4685 9636 4684 9637 4694 9637 4685 9637 4693 9638 4687 9638 4685 9638 4695 9639 4689 9639 4692 9639 4696 9640 4692 9640 4689 9640 4691 9641 4695 9641 4692 9641 4693 9642 4692 9642 4696 9642 4697 9643 4688 9643 4689 9643 4695 9644 4697 9644 4689 9644 4690 9645 4696 9645 4689 9645 4698 9646 4688 9646 4697 9646 4699 9647 4684 9647 4688 9647 4698 9648 4699 9648 4688 9648 4700 9649 4697 9649 4695 9649 4701 9650 4697 9650 4700 9650 4698 9651 4697 9651 4701 9651 4702 9652 4695 9652 4691 9652 4700 9653 4695 9653 4702 9653 4703 9654 4691 9654 4694 9654 4703 9655 4702 9655 4691 9655 4704 9656 4694 9656 4684 9656 4704 9657 4705 9657 4694 9657 4703 9658 4694 9658 4705 9658 4704 9659 4684 9659 4699 9659 4706 9660 4696 9660 4690 9660 4706 9661 4707 9661 4696 9661 4693 9662 4696 9662 4707 9662 4708 9663 4690 9663 4687 9663 4708 9664 4706 9664 4690 9664 4708 9665 4687 9665 4709 9665 4693 9666 4709 9666 4687 9666 4693 9667 4707 9667 4709 9667 4710 9668 4709 9668 4707 9668 4711 9669 4708 9669 4709 9669 4710 9670 4711 9670 4709 9670 4712 9671 4707 9671 4706 9671 4712 9672 4710 9672 4707 9672 4713 9673 4706 9673 4708 9673 4712 9674 4706 9674 4713 9674 4711 9675 4713 9675 4708 9675 4710 9676 4713 9676 4711 9676 4712 9677 4713 9677 4710 9677 4714 9678 4715 9678 4716 9678 4717 9679 4716 9679 4715 9679 4718 9680 4716 9680 4719 9680 4720 9681 4719 9681 4716 9681 4718 9682 4714 9682 4716 9682 4720 9683 4716 9683 4717 9683 4721 9684 4722 9684 4715 9684 4723 9685 4715 9685 4722 9685 4721 9686 4715 9686 4714 9686 4723 9687 4717 9687 4715 9687 4724 9688 4725 9688 4722 9688 4726 9689 4722 9689 4725 9689 4721 9690 4724 9690 4722 9690 4723 9691 4722 9691 4726 9691 4727 9692 4728 9692 4725 9692 4729 9693 4725 9693 4728 9693 4724 9694 4727 9694 4725 9694 4726 9695 4725 9695 4729 9695 4730 9696 4719 9696 4728 9696 4731 9697 4728 9697 4719 9697 4727 9698 4730 9698 4728 9698 4729 9699 4728 9699 4731 9699 4730 9700 4718 9700 4719 9700 4731 9701 4719 9701 4720 9701 4732 9702 4714 9702 4718 9702 4733 9703 4721 9703 4714 9703 4732 9704 4733 9704 4714 9704 4734 9705 4718 9705 4730 9705 4732 9706 4718 9706 4734 9706 4735 9707 4730 9707 4727 9707 4734 9708 4730 9708 4735 9708 4736 9709 4727 9709 4724 9709 4735 9710 4727 9710 4736 9710 4737 9711 4724 9711 4721 9711 4736 9712 4724 9712 4737 9712 4737 9713 4721 9713 4733 9713 4700 9714 4720 9714 4717 9714 4701 9715 4700 9715 4717 9715 4723 9716 4701 9716 4717 9716 4702 9717 4731 9717 4720 9717 4700 9718 4702 9718 4720 9718 4705 9719 4729 9719 4731 9719 4702 9720 4705 9720 4731 9720 4704 9721 4729 9721 4705 9721 4726 9722 4729 9722 4704 9722 4703 9723 4705 9723 4702 9723 4723 9724 4699 9724 4701 9724 4698 9725 4701 9725 4699 9725 4726 9726 4704 9726 4699 9726 4723 9727 4726 9727 4699 9727 4736 9728 4737 9728 4733 9728 4732 9729 4736 9729 4733 9729 4732 9730 4735 9730 4736 9730 4732 9731 4734 9731 4735 9731 4738 9732 4739 9732 4740 9732 4741 9733 4740 9733 4739 9733 4742 9734 4740 9734 4743 9734 4744 9735 4743 9735 4740 9735 4738 9736 4740 9736 4742 9736 4741 9737 4744 9737 4740 9737 4745 9738 4746 9738 4739 9738 4747 9739 4739 9739 4746 9739 4748 9740 4745 9740 4739 9740 4738 9741 4748 9741 4739 9741 4747 9742 4741 9742 4739 9742 4749 9743 4743 9743 4746 9743 4750 9744 4746 9744 4743 9744 4745 9745 4749 9745 4746 9745 4747 9746 4746 9746 4750 9746 4751 9747 4742 9747 4743 9747 4749 9748 4751 9748 4743 9748 4744 9749 4750 9749 4743 9749 4752 9750 4742 9750 4751 9750 4753 9751 4738 9751 4742 9751 4752 9752 4753 9752 4742 9752 4754 9753 4751 9753 4749 9753 4755 9754 4751 9754 4754 9754 4752 9755 4751 9755 4755 9755 4756 9756 4749 9756 4745 9756 4754 9757 4749 9757 4756 9757 4757 9758 4745 9758 4748 9758 4757 9759 4756 9759 4745 9759 4758 9760 4748 9760 4738 9760 4758 9761 4759 9761 4748 9761 4757 9762 4748 9762 4759 9762 4758 9763 4738 9763 4753 9763 4760 9764 4750 9764 4744 9764 4760 9765 4761 9765 4750 9765 4747 9766 4750 9766 4761 9766 4762 9767 4744 9767 4741 9767 4762 9768 4760 9768 4744 9768 4762 9769 4741 9769 4763 9769 4747 9770 4763 9770 4741 9770 4747 9771 4761 9771 4763 9771 4764 9772 4763 9772 4761 9772 4765 9773 4762 9773 4763 9773 4764 9774 4765 9774 4763 9774 4766 9775 4761 9775 4760 9775 4766 9776 4764 9776 4761 9776 4767 9777 4760 9777 4762 9777 4766 9778 4760 9778 4767 9778 4765 9779 4767 9779 4762 9779 4764 9780 4767 9780 4765 9780 4766 9781 4767 9781 4764 9781 4768 9782 4769 9782 4770 9782 4771 9783 4770 9783 4769 9783 4772 9784 4770 9784 4773 9784 4774 9785 4773 9785 4770 9785 4772 9786 4768 9786 4770 9786 4774 9787 4770 9787 4771 9787 4775 9788 4776 9788 4769 9788 4777 9789 4769 9789 4776 9789 4775 9790 4769 9790 4768 9790 4777 9791 4771 9791 4769 9791 4778 9792 4779 9792 4776 9792 4780 9793 4776 9793 4779 9793 4775 9794 4778 9794 4776 9794 4777 9795 4776 9795 4780 9795 4781 9796 4782 9796 4779 9796 4783 9797 4779 9797 4782 9797 4778 9798 4781 9798 4779 9798 4780 9799 4779 9799 4783 9799 4784 9800 4773 9800 4782 9800 4785 9801 4782 9801 4773 9801 4781 9802 4784 9802 4782 9802 4783 9803 4782 9803 4785 9803 4784 9804 4772 9804 4773 9804 4785 9805 4773 9805 4774 9805 4786 9806 4768 9806 4772 9806 4787 9807 4775 9807 4768 9807 4786 9808 4787 9808 4768 9808 4788 9809 4772 9809 4784 9809 4786 9810 4772 9810 4788 9810 4789 9811 4784 9811 4781 9811 4788 9812 4784 9812 4789 9812 4790 9813 4781 9813 4778 9813 4789 9814 4781 9814 4790 9814 4791 9815 4778 9815 4775 9815 4790 9816 4778 9816 4791 9816 4791 9817 4775 9817 4787 9817 4754 9818 4774 9818 4771 9818 4755 9819 4754 9819 4771 9819 4777 9820 4755 9820 4771 9820 4756 9821 4785 9821 4774 9821 4754 9822 4756 9822 4774 9822 4759 9823 4783 9823 4785 9823 4756 9824 4759 9824 4785 9824 4758 9825 4783 9825 4759 9825 4780 9826 4783 9826 4758 9826 4757 9827 4759 9827 4756 9827 4777 9828 4753 9828 4755 9828 4752 9829 4755 9829 4753 9829 4780 9830 4758 9830 4753 9830 4777 9831 4780 9831 4753 9831 4790 9832 4791 9832 4787 9832 4786 9833 4790 9833 4787 9833 4786 9834 4789 9834 4790 9834 4786 9835 4788 9835 4789 9835 4792 9836 4793 9836 4794 9836 4795 9837 4794 9837 4793 9837 4796 9838 4794 9838 4797 9838 4798 9839 4797 9839 4794 9839 4792 9840 4794 9840 4796 9840 4795 9841 4798 9841 4794 9841 4799 9842 4800 9842 4793 9842 4801 9843 4793 9843 4800 9843 4802 9844 4799 9844 4793 9844 4792 9845 4802 9845 4793 9845 4801 9846 4795 9846 4793 9846 4803 9847 4797 9847 4800 9847 4804 9848 4800 9848 4797 9848 4799 9849 4803 9849 4800 9849 4801 9850 4800 9850 4804 9850 4805 9851 4796 9851 4797 9851 4803 9852 4805 9852 4797 9852 4798 9853 4804 9853 4797 9853 4806 9854 4796 9854 4805 9854 4807 9855 4792 9855 4796 9855 4806 9856 4807 9856 4796 9856 4808 9857 4805 9857 4803 9857 4809 9858 4805 9858 4808 9858 4806 9859 4805 9859 4809 9859 4810 9860 4803 9860 4799 9860 4808 9861 4803 9861 4810 9861 4811 9862 4799 9862 4802 9862 4811 9863 4810 9863 4799 9863 4812 9864 4802 9864 4792 9864 4812 9865 4813 9865 4802 9865 4811 9866 4802 9866 4813 9866 4812 9867 4792 9867 4807 9867 4814 9868 4804 9868 4798 9868 4814 9869 4815 9869 4804 9869 4801 9870 4804 9870 4815 9870 4816 9871 4798 9871 4795 9871 4816 9872 4814 9872 4798 9872 4816 9873 4795 9873 4817 9873 4801 9874 4817 9874 4795 9874 4801 9875 4815 9875 4817 9875 4818 9876 4817 9876 4815 9876 4819 9877 4816 9877 4817 9877 4818 9878 4819 9878 4817 9878 4820 9879 4815 9879 4814 9879 4820 9880 4818 9880 4815 9880 4821 9881 4814 9881 4816 9881 4820 9882 4814 9882 4821 9882 4819 9883 4821 9883 4816 9883 4818 9884 4821 9884 4819 9884 4820 9885 4821 9885 4818 9885 4822 9886 4823 9886 4824 9886 4825 9887 4824 9887 4823 9887 4826 9888 4824 9888 4827 9888 4828 9889 4827 9889 4824 9889 4826 9890 4822 9890 4824 9890 4828 9891 4824 9891 4825 9891 4829 9892 4830 9892 4823 9892 4831 9893 4823 9893 4830 9893 4829 9894 4823 9894 4822 9894 4831 9895 4825 9895 4823 9895 4832 9896 4833 9896 4830 9896 4834 9897 4830 9897 4833 9897 4829 9898 4832 9898 4830 9898 4831 9899 4830 9899 4834 9899 4835 9900 4836 9900 4833 9900 4837 9901 4833 9901 4836 9901 4832 9902 4835 9902 4833 9902 4834 9903 4833 9903 4837 9903 4838 9904 4827 9904 4836 9904 4839 9905 4836 9905 4827 9905 4835 9906 4838 9906 4836 9906 4837 9907 4836 9907 4839 9907 4838 9908 4826 9908 4827 9908 4839 9909 4827 9909 4828 9909 4840 9910 4822 9910 4826 9910 4841 9911 4829 9911 4822 9911 4840 9912 4841 9912 4822 9912 4842 9913 4826 9913 4838 9913 4840 9914 4826 9914 4842 9914 4843 9915 4838 9915 4835 9915 4842 9916 4838 9916 4843 9916 4844 9917 4835 9917 4832 9917 4843 9918 4835 9918 4844 9918 4845 9919 4832 9919 4829 9919 4844 9920 4832 9920 4845 9920 4845 9921 4829 9921 4841 9921 4808 9922 4828 9922 4825 9922 4809 9923 4808 9923 4825 9923 4831 9924 4809 9924 4825 9924 4810 9925 4839 9925 4828 9925 4808 9926 4810 9926 4828 9926 4813 9927 4837 9927 4839 9927 4810 9928 4813 9928 4839 9928 4812 9929 4837 9929 4813 9929 4834 9930 4837 9930 4812 9930 4811 9931 4813 9931 4810 9931 4831 9932 4807 9932 4809 9932 4806 9933 4809 9933 4807 9933 4834 9934 4812 9934 4807 9934 4831 9935 4834 9935 4807 9935 4844 9936 4845 9936 4841 9936 4840 9937 4844 9937 4841 9937 4840 9938 4843 9938 4844 9938 4840 9939 4842 9939 4843 9939 4846 9940 4847 9940 4848 9940 4849 9941 4848 9941 4847 9941 4850 9942 4848 9942 4851 9942 4852 9943 4851 9943 4848 9943 4846 9944 4848 9944 4850 9944 4849 9945 4852 9945 4848 9945 4853 9946 4854 9946 4847 9946 4855 9947 4847 9947 4854 9947 4856 9948 4853 9948 4847 9948 4846 9949 4856 9949 4847 9949 4855 9950 4849 9950 4847 9950 4857 9951 4851 9951 4854 9951 4858 9952 4854 9952 4851 9952 4853 9953 4857 9953 4854 9953 4855 9954 4854 9954 4858 9954 4859 9955 4850 9955 4851 9955 4857 9956 4859 9956 4851 9956 4852 9957 4858 9957 4851 9957 4860 9958 4850 9958 4859 9958 4861 9959 4846 9959 4850 9959 4860 9960 4861 9960 4850 9960 4862 9961 4859 9961 4857 9961 4863 9962 4859 9962 4862 9962 4860 9963 4859 9963 4863 9963 4864 9964 4857 9964 4853 9964 4862 9965 4857 9965 4864 9965 4865 9966 4853 9966 4856 9966 4865 9967 4864 9967 4853 9967 4866 9968 4856 9968 4846 9968 4866 9969 4867 9969 4856 9969 4865 9970 4856 9970 4867 9970 4866 9971 4846 9971 4861 9971 4868 9972 4858 9972 4852 9972 4868 9973 4869 9973 4858 9973 4855 9974 4858 9974 4869 9974 4870 9975 4852 9975 4849 9975 4870 9976 4868 9976 4852 9976 4870 9977 4849 9977 4871 9977 4855 9978 4871 9978 4849 9978 4855 9979 4869 9979 4871 9979 4872 9980 4871 9980 4869 9980 4873 9981 4870 9981 4871 9981 4872 9982 4873 9982 4871 9982 4874 9983 4869 9983 4868 9983 4874 9984 4872 9984 4869 9984 4875 9985 4868 9985 4870 9985 4874 9986 4868 9986 4875 9986 4873 9987 4875 9987 4870 9987 4872 9988 4875 9988 4873 9988 4874 9989 4875 9989 4872 9989 4876 9990 4877 9990 4878 9990 4879 9991 4878 9991 4877 9991 4880 9992 4878 9992 4881 9992 4882 9993 4881 9993 4878 9993 4880 9994 4876 9994 4878 9994 4882 9995 4878 9995 4879 9995 4883 9996 4884 9996 4877 9996 4885 9997 4877 9997 4884 9997 4883 9998 4877 9998 4876 9998 4885 9999 4879 9999 4877 9999 4886 10000 4887 10000 4884 10000 4888 10001 4884 10001 4887 10001 4883 10002 4886 10002 4884 10002 4885 10003 4884 10003 4888 10003 4889 10004 4890 10004 4887 10004 4891 10005 4887 10005 4890 10005 4886 10006 4889 10006 4887 10006 4888 10007 4887 10007 4891 10007 4892 10008 4881 10008 4890 10008 4893 10009 4890 10009 4881 10009 4889 10010 4892 10010 4890 10010 4891 10011 4890 10011 4893 10011 4892 10012 4880 10012 4881 10012 4893 10013 4881 10013 4882 10013 4894 10014 4876 10014 4880 10014 4895 10015 4883 10015 4876 10015 4894 10016 4895 10016 4876 10016 4896 10017 4880 10017 4892 10017 4894 10018 4880 10018 4896 10018 4897 10019 4892 10019 4889 10019 4896 10020 4892 10020 4897 10020 4898 10021 4889 10021 4886 10021 4897 10022 4889 10022 4898 10022 4899 10023 4886 10023 4883 10023 4898 10024 4886 10024 4899 10024 4899 10025 4883 10025 4895 10025 4862 10026 4882 10026 4879 10026 4863 10027 4862 10027 4879 10027 4885 10028 4863 10028 4879 10028 4864 10029 4893 10029 4882 10029 4862 10030 4864 10030 4882 10030 4867 10031 4891 10031 4893 10031 4864 10032 4867 10032 4893 10032 4866 10033 4891 10033 4867 10033 4888 10034 4891 10034 4866 10034 4865 10035 4867 10035 4864 10035 4885 10036 4861 10036 4863 10036 4860 10037 4863 10037 4861 10037 4888 10038 4866 10038 4861 10038 4885 10039 4888 10039 4861 10039 4898 10040 4899 10040 4895 10040 4894 10041 4898 10041 4895 10041 4894 10042 4897 10042 4898 10042 4894 10043 4896 10043 4897 10043 4900 10044 4901 10044 4902 10044 4903 10045 4902 10045 4901 10045 4904 10046 4902 10046 4905 10046 4906 10047 4905 10047 4902 10047 4900 10048 4902 10048 4904 10048 4903 10049 4906 10049 4902 10049 4907 10050 4908 10050 4901 10050 4909 10051 4901 10051 4908 10051 4910 10052 4907 10052 4901 10052 4900 10053 4910 10053 4901 10053 4909 10054 4903 10054 4901 10054 4911 10055 4905 10055 4908 10055 4912 10056 4908 10056 4905 10056 4907 10057 4911 10057 4908 10057 4909 10058 4908 10058 4912 10058 4913 10059 4904 10059 4905 10059 4911 10060 4913 10060 4905 10060 4906 10061 4912 10061 4905 10061 4914 10062 4904 10062 4913 10062 4915 10063 4900 10063 4904 10063 4914 10064 4915 10064 4904 10064 4916 10065 4913 10065 4911 10065 4917 10066 4913 10066 4916 10066 4914 10067 4913 10067 4917 10067 4918 10068 4911 10068 4907 10068 4916 10069 4911 10069 4918 10069 4919 10070 4907 10070 4910 10070 4919 10071 4918 10071 4907 10071 4920 10072 4910 10072 4900 10072 4920 10073 4921 10073 4910 10073 4919 10074 4910 10074 4921 10074 4920 10075 4900 10075 4915 10075 4922 10076 4912 10076 4906 10076 4922 10077 4923 10077 4912 10077 4909 10078 4912 10078 4923 10078 4924 10079 4906 10079 4903 10079 4924 10080 4922 10080 4906 10080 4924 10081 4903 10081 4925 10081 4909 10082 4925 10082 4903 10082 4909 10083 4923 10083 4925 10083 4926 10084 4925 10084 4923 10084 4927 10085 4924 10085 4925 10085 4926 10086 4927 10086 4925 10086 4928 10087 4923 10087 4922 10087 4928 10088 4926 10088 4923 10088 4929 10089 4922 10089 4924 10089 4928 10090 4922 10090 4929 10090 4927 10091 4929 10091 4924 10091 4926 10092 4929 10092 4927 10092 4928 10093 4929 10093 4926 10093 4930 10094 4931 10094 4932 10094 4933 10095 4932 10095 4931 10095 4934 10096 4932 10096 4935 10096 4936 10097 4935 10097 4932 10097 4934 10098 4930 10098 4932 10098 4936 10099 4932 10099 4933 10099 4937 10100 4938 10100 4931 10100 4939 10101 4931 10101 4938 10101 4937 10102 4931 10102 4930 10102 4939 10103 4933 10103 4931 10103 4940 10104 4941 10104 4938 10104 4942 10105 4938 10105 4941 10105 4937 10106 4940 10106 4938 10106 4939 10107 4938 10107 4942 10107 4943 10108 4944 10108 4941 10108 4945 10109 4941 10109 4944 10109 4940 10110 4943 10110 4941 10110 4942 10111 4941 10111 4945 10111 4946 10112 4935 10112 4944 10112 4947 10113 4944 10113 4935 10113 4943 10114 4946 10114 4944 10114 4945 10115 4944 10115 4947 10115 4946 10116 4934 10116 4935 10116 4947 10117 4935 10117 4936 10117 4948 10118 4930 10118 4934 10118 4949 10119 4937 10119 4930 10119 4948 10120 4949 10120 4930 10120 4950 10121 4934 10121 4946 10121 4948 10122 4934 10122 4950 10122 4951 10123 4946 10123 4943 10123 4950 10124 4946 10124 4951 10124 4952 10125 4943 10125 4940 10125 4951 10126 4943 10126 4952 10126 4953 10127 4940 10127 4937 10127 4952 10128 4940 10128 4953 10128 4953 10129 4937 10129 4949 10129 4916 10130 4936 10130 4933 10130 4917 10131 4916 10131 4933 10131 4939 10132 4917 10132 4933 10132 4918 10133 4947 10133 4936 10133 4916 10134 4918 10134 4936 10134 4921 10135 4945 10135 4947 10135 4918 10136 4921 10136 4947 10136 4920 10137 4945 10137 4921 10137 4942 10138 4945 10138 4920 10138 4919 10139 4921 10139 4918 10139 4939 10140 4915 10140 4917 10140 4914 10141 4917 10141 4915 10141 4942 10142 4920 10142 4915 10142 4939 10143 4942 10143 4915 10143 4952 10144 4953 10144 4949 10144 4948 10145 4952 10145 4949 10145 4948 10146 4951 10146 4952 10146 4948 10147 4950 10147 4951 10147 4954 10148 4955 10148 4956 10148 4957 10149 4956 10149 4955 10149 4958 10150 4956 10150 4959 10150 4960 10151 4959 10151 4956 10151 4954 10152 4956 10152 4958 10152 4957 10153 4960 10153 4956 10153 4961 10154 4962 10154 4955 10154 4963 10155 4955 10155 4962 10155 4964 10156 4961 10156 4955 10156 4954 10157 4964 10157 4955 10157 4963 10158 4957 10158 4955 10158 4965 10159 4959 10159 4962 10159 4966 10160 4962 10160 4959 10160 4961 10161 4965 10161 4962 10161 4963 10162 4962 10162 4966 10162 4967 10163 4958 10163 4959 10163 4965 10164 4967 10164 4959 10164 4960 10165 4966 10165 4959 10165 4968 10166 4958 10166 4967 10166 4969 10167 4954 10167 4958 10167 4968 10168 4969 10168 4958 10168 4970 10169 4967 10169 4965 10169 4971 10170 4967 10170 4970 10170 4968 10171 4967 10171 4971 10171 4972 10172 4965 10172 4961 10172 4970 10173 4965 10173 4972 10173 4973 10174 4961 10174 4964 10174 4973 10175 4972 10175 4961 10175 4974 10176 4964 10176 4954 10176 4974 10177 4975 10177 4964 10177 4973 10178 4964 10178 4975 10178 4974 10179 4954 10179 4969 10179 4976 10180 4966 10180 4960 10180 4976 10181 4977 10181 4966 10181 4963 10182 4966 10182 4977 10182 4978 10183 4960 10183 4957 10183 4978 10184 4976 10184 4960 10184 4978 10185 4957 10185 4979 10185 4963 10186 4979 10186 4957 10186 4963 10187 4977 10187 4979 10187 4980 10188 4979 10188 4977 10188 4981 10189 4978 10189 4979 10189 4980 10190 4981 10190 4979 10190 4982 10191 4977 10191 4976 10191 4982 10192 4980 10192 4977 10192 4983 10193 4976 10193 4978 10193 4982 10194 4976 10194 4983 10194 4981 10195 4983 10195 4978 10195 4980 10196 4983 10196 4981 10196 4982 10197 4983 10197 4980 10197 4984 10198 4985 10198 4986 10198 4987 10199 4986 10199 4985 10199 4988 10200 4986 10200 4989 10200 4990 10201 4989 10201 4986 10201 4988 10202 4984 10202 4986 10202 4990 10203 4986 10203 4987 10203 4991 10204 4992 10204 4985 10204 4993 10205 4985 10205 4992 10205 4991 10206 4985 10206 4984 10206 4993 10207 4987 10207 4985 10207 4994 10208 4995 10208 4992 10208 4996 10209 4992 10209 4995 10209 4991 10210 4994 10210 4992 10210 4993 10211 4992 10211 4996 10211 4997 10212 4998 10212 4995 10212 4999 10213 4995 10213 4998 10213 4994 10214 4997 10214 4995 10214 4996 10215 4995 10215 4999 10215 5000 10216 4989 10216 4998 10216 5001 10217 4998 10217 4989 10217 4997 10218 5000 10218 4998 10218 4999 10219 4998 10219 5001 10219 5000 10220 4988 10220 4989 10220 5001 10221 4989 10221 4990 10221 5002 10222 4984 10222 4988 10222 5003 10223 4991 10223 4984 10223 5002 10224 5003 10224 4984 10224 5004 10225 4988 10225 5000 10225 5002 10226 4988 10226 5004 10226 5005 10227 5000 10227 4997 10227 5004 10228 5000 10228 5005 10228 5006 10229 4997 10229 4994 10229 5005 10230 4997 10230 5006 10230 5007 10231 4994 10231 4991 10231 5006 10232 4994 10232 5007 10232 5007 10233 4991 10233 5003 10233 4970 10234 4990 10234 4987 10234 4971 10235 4970 10235 4987 10235 4993 10236 4971 10236 4987 10236 4972 10237 5001 10237 4990 10237 4970 10238 4972 10238 4990 10238 4975 10239 4999 10239 5001 10239 4972 10240 4975 10240 5001 10240 4974 10241 4999 10241 4975 10241 4996 10242 4999 10242 4974 10242 4973 10243 4975 10243 4972 10243 4993 10244 4969 10244 4971 10244 4968 10245 4971 10245 4969 10245 4996 10246 4974 10246 4969 10246 4993 10247 4996 10247 4969 10247 5006 10248 5007 10248 5003 10248 5002 10249 5006 10249 5003 10249 5002 10250 5005 10250 5006 10250 5002 10251 5004 10251 5005 10251</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="elbow_fe" name="elbow_fe" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#elbow_fe-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyA/meshes/humerus_r.dae b/ct_models/urdf/HyA/meshes/humerus_r.dae
new file mode 100644
index 0000000..f6dd4f0
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/humerus_r.dae
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T10:02:39</created>
+ <modified>2015-04-23T10:02:39</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="humerus_r-mesh" name="humerus_r">
+ <mesh>
+ <source id="humerus_r-mesh-positions">
+ <float_array id="humerus_r-mesh-positions-array" count="19362">-0.253 -0.009514689 0.02320629 -0.253 -0.00792241 0.02683854 -0.253 -0.0199151 0.0199151 -0.257 -0.0199151 0.0199151 -0.253 -0.01845097 0.01398164 -0.253 -0.02683854 0.00792241 -0.257 -0.02683866 0.007922351 -0.253 -0.01068139 0.02272295 -0.253 -0.0111646 0.02155625 -0.253 -0.01068139 0.02038949 -0.253 -0.01207351 0.01871424 -0.253 -0.01306146 0.01882743 -0.253 -0.01398164 0.01845097 -0.253 -0.01637923 0.01637959 -0.253 0.007514655 0.02320629 -0.253 0.005922377 0.02683854 -0.257 -0.007922351 0.02683866 -0.253 -0.008347928 0.02272295 -0.253 -0.002767682 0.0202322 -0.253 0.006347954 0.02272295 -0.253 7.67767e-4 0.0237677 -0.253 -0.001646578 0.02441471 -0.253 -0.00341475 0.02264654 -0.253 0.0248385 0.00792241 -0.253 0.01791507 0.0199151 -0.257 0.005924165 0.02683812 -0.253 0.008681416 0.02272295 -0.257 0.01791495 0.01991492 -0.253 0.02176773 -7.67767e-4 -0.253 0.0248385 -0.005922377 -0.257 0.02483803 0.007924139 -0.253 0.02072304 0.01068139 -0.253 0.02072304 0.008347928 -0.253 0.01955628 0.007864654 -0.253 0.02064657 0.00341475 -0.253 0.02120625 0.009514689 -0.253 0.02241474 0.001646578 -0.253 0.01645094 -0.01198166 -0.253 0.01791507 -0.01791507 -0.257 0.02483868 -0.005922317 -0.253 0.02120625 -0.007514655 -0.253 0.02072304 -0.008681416 -0.253 0.02072304 -0.006347954 -0.253 0.014669 9.99987e-4 -0.253 0.01935333 -0.001414716 -0.253 0.007514655 -0.02120625 -0.253 0.005922377 -0.0248385 -0.257 0.01791507 -0.01791507 -0.253 0.008681416 -0.02072304 -0.253 0.00916469 -0.01955628 -0.253 0.008681416 -0.01838958 -0.253 0.0100736 -0.01671433 -0.253 0.01106137 -0.01682746 -0.253 0.01198166 -0.01645094 -0.253 0.01437932 -0.01437956 -0.253 -0.009514689 -0.02120625 -0.253 -0.00792241 -0.0248385 -0.257 0.005922317 -0.02483868 -0.253 0.006347954 -0.02072304 -0.253 7.67767e-4 -0.01823222 -0.253 -0.008347928 -0.02072304 -0.253 -0.002767682 -0.02176773 -0.253 -3.53416e-4 -0.02241474 -0.253 0.001414716 -0.02064657 -0.253 -0.02683854 -0.005922377 -0.253 -0.0199151 -0.01791507 -0.257 -0.007924139 -0.02483803 -0.253 -0.01068139 -0.02072304 -0.257 -0.01991492 -0.01791495 -0.253 -0.0237677 0.002767682 -0.257 -0.02683812 -0.005924165 -0.253 -0.02272295 -0.008681416 -0.253 -0.02272295 -0.006347954 -0.253 -0.02155625 -0.00586462 -0.253 -0.02264654 -0.001414716 -0.253 -0.02320629 -0.007514655 -0.253 -0.02441471 3.53416e-4 -0.253 -0.02320629 0.009514689 -0.253 -0.02272295 0.01068139 -0.253 -0.02272295 0.008347928 -0.253 -0.01666903 9.99987e-4 -0.253 -0.02135336 0.00341475 -0.253 -9.99987e-4 0.01666903 -0.253 -0.007864654 0.02155625 -0.253 -0.008347928 0.02038949 -0.2695 -0.008347928 0.02038949 -0.253 -0.009514689 0.01990628 -0.2695 -0.009514689 0.01990628 -0.2695 -0.007864654 0.02155625 -0.2695 -0.008347928 0.02272295 -0.2695 -0.009514689 0.02320629 -0.2695 -0.01068139 0.02272295 -0.2695 -0.0111646 0.02155625 -0.2695 -0.01068139 0.02038949 -0.253 0.0100736 0.01871424 -0.253 0.008681416 0.02038949 -0.253 0.007514655 0.01990628 -0.2695 0.007514655 0.01990628 -0.253 0.006347954 0.02038949 -0.2695 0.006347954 0.02038949 -0.253 0.01198166 0.01845097 -0.253 0.00916469 0.02155625 -0.2695 0.008681416 0.02038949 -0.253 0.01106137 0.01882743 -0.2695 0.00916469 0.02155625 -0.253 0.01437956 0.01637923 -0.2695 0.008681416 0.02272295 -0.2695 0.007514655 0.02320629 -0.253 0.00586462 0.02155625 -0.2695 0.006347954 0.02272295 -0.2695 0.00586462 0.02155625 -0.253 0.001414716 0.02135336 -0.253 0.01838958 0.008347928 -0.2695 0.01838958 0.008347928 -0.253 0.01790624 0.009514689 -0.2695 0.01790624 0.009514689 -0.253 0.01823222 0.002767682 -0.2695 0.01955628 0.007864654 -0.2695 0.02072304 0.008347928 -0.2695 0.02120625 0.009514689 -0.253 0.01955628 0.0111646 -0.2695 0.02072304 0.01068139 -0.253 0.01682746 0.01306146 -0.253 0.01838958 0.01068139 -0.2695 0.01955628 0.0111646 -0.253 0.01645094 0.01398164 -0.253 0.01671433 0.01207351 -0.2695 0.01838958 0.01068139 -0.253 0.01671433 -0.0100736 -0.253 0.01838958 -0.008681416 -0.253 0.01790624 -0.007514655 -0.2695 0.01790624 -0.007514655 -0.253 0.01838958 -0.006347954 -0.2695 0.01838958 -0.006347954 -0.253 0.01955628 -0.00916469 -0.2695 0.01838958 -0.008681416 -0.253 0.01682746 -0.01106137 -0.2695 0.01955628 -0.00916469 -0.2695 0.02072304 -0.008681416 -0.2695 0.02120625 -0.007514655 -0.253 0.01955628 -0.00586462 -0.2695 0.02072304 -0.006347954 -0.2695 0.01955628 -0.00586462 -0.253 -9.99987e-4 -0.014669 -0.253 0.00586462 -0.01955628 -0.253 0.006347954 -0.01838958 -0.2695 0.006347954 -0.01838958 -0.253 0.007514655 -0.01790624 -0.2695 0.007514655 -0.01790624 -0.2695 0.00586462 -0.01955628 -0.2695 0.006347954 -0.02072304 -0.2695 0.007514655 -0.02120625 -0.2695 0.008681416 -0.02072304 -0.2695 0.00916469 -0.01955628 -0.2695 0.008681416 -0.01838958 -0.253 -0.01207351 -0.01671433 -0.253 -0.01068139 -0.01838958 -0.253 -0.009514689 -0.01790624 -0.2695 -0.009514689 -0.01790624 -0.253 -0.008347928 -0.01838958 -0.2695 -0.008347928 -0.01838958 -0.253 -0.01398164 -0.01645094 -0.253 -0.0111646 -0.01955628 -0.2695 -0.01068139 -0.01838958 -0.253 -0.01306146 -0.01682746 -0.2695 -0.0111646 -0.01955628 -0.253 -0.01637959 -0.01437932 -0.2695 -0.01068139 -0.02072304 -0.2695 -0.009514689 -0.02120625 -0.253 -0.007864654 -0.01955628 -0.2695 -0.008347928 -0.02072304 -0.2695 -0.007864654 -0.01955628 -0.253 -0.00341475 -0.01935333 -0.253 -0.02038949 -0.006347954 -0.2695 -0.02038949 -0.006347954 -0.253 -0.01990628 -0.007514655 -0.2695 -0.01990628 -0.007514655 -0.253 -0.0202322 -7.67767e-4 -0.2695 -0.02155625 -0.00586462 -0.2695 -0.02272295 -0.006347954 -0.2695 -0.02320629 -0.007514655 -0.253 -0.02155625 -0.00916469 -0.2695 -0.02272295 -0.008681416 -0.253 -0.01882743 -0.01106137 -0.253 -0.02038949 -0.008681416 -0.2695 -0.02155625 -0.00916469 -0.253 -0.01845097 -0.01198166 -0.253 -0.01871424 -0.0100736 -0.2695 -0.02038949 -0.008681416 -0.253 -0.01871424 0.01207351 -0.253 -0.02038949 0.01068139 -0.253 -0.01990628 0.009514689 -0.2695 -0.01990628 0.009514689 -0.253 -0.02038949 0.008347928 -0.2695 -0.02038949 0.008347928 -0.253 -0.02155625 0.0111646 -0.2695 -0.02038949 0.01068139 -0.253 -0.01882743 0.01306146 -0.2695 -0.02155625 0.0111646 -0.2695 -0.02272295 0.01068139 -0.2695 -0.02320629 0.009514689 -0.253 -0.02155625 0.007864654 -0.2695 -0.02272295 0.008347928 -0.2695 -0.02155625 0.007864654 -0.2635 7.67767e-4 0.0237677 -0.2635 0.001414716 0.02135288 -0.2635 -0.001646935 0.02441471 -0.2635 -0.00341475 0.02264702 -0.253 -3.53416e-4 0.01958519 -0.2635 -0.002767682 0.0202322 -0.2635 -3.52952e-4 0.01958519 -0.2635 0.02176773 -7.67767e-4 -0.2635 0.01935291 -0.001414716 -0.2635 0.0224148 0.001646935 -0.2635 0.02064698 0.00341475 -0.253 0.01758515 3.53416e-4 -0.2635 0.01823222 0.002767682 -0.2635 0.01758509 3.52952e-4 -0.2635 -0.002767682 -0.02176773 -0.2635 -0.00341475 -0.01935291 -0.2635 -3.52952e-4 -0.0224148 -0.2635 0.001414716 -0.02064698 -0.253 -0.001646578 -0.01758515 -0.2635 7.67767e-4 -0.01823222 -0.2635 -0.001646935 -0.01758509 -0.2635 -0.0237677 0.002767682 -0.2635 -0.02135288 0.00341475 -0.2635 -0.02441471 3.52952e-4 -0.2635 -0.02264702 -0.001414716 -0.253 -0.01958519 0.001646578 -0.2635 -0.0202322 -7.67767e-4 -0.2635 -0.01958519 0.001646935 -0.258 -0.01207351 -0.01671433 -0.258 -0.01272821 -0.01684528 -0.2695 -9.99813e-4 -0.014669 -0.2695 -0.01224076 -0.01677876 -0.258 0.0100736 -0.01671433 -0.258 0.01138871 -0.01675391 -0.258 0.01072824 -0.01684528 -0.258 0.01198166 -0.01645094 -0.258 0.01169633 -0.01662802 -0.258 0.01437932 -0.01437956 -0.258 0.01645094 -0.01198166 -0.258 0.01684528 -0.01072824 -0.258 0.01662802 -0.01169633 -0.258 0.01675391 -0.01138871 -0.258 0.01671433 -0.0100736 -0.2695 0.014669 9.99813e-4 -0.258 0.01671433 0.01207351 -0.258 0.01675391 0.01338875 -0.258 0.01684528 0.01272821 -0.258 0.01645094 0.01398164 -0.258 0.01662802 0.01369637 -0.258 0.01437956 0.01637923 -0.258 0.01198166 0.01845097 -0.258 0.01072824 0.01884526 -0.258 0.01169633 0.01862806 -0.258 0.01138871 0.01875388 -0.258 0.0100736 0.01871424 -0.2695 -0.001000106 0.01666903 -0.2695 0.01024079 0.0187788 -0.258 -0.01207351 0.01871424 -0.258 -0.01338875 0.01875388 -0.258 -0.01272821 0.01884526 -0.258 -0.01398164 0.01845097 -0.258 -0.01369637 0.01862806 -0.258 -0.01637923 0.01637959 -0.258 -0.01845097 0.01398164 -0.258 -0.01884526 0.01272821 -0.258 -0.01862806 0.01369637 -0.258 -0.01875388 0.01338875 -0.258 -0.01871424 0.01207351 -0.2695 -0.01666903 9.99813e-4 -0.2695 -0.0187788 0.01224076 -0.258 -0.01871424 -0.0100736 -0.258 -0.01875388 -0.01138871 -0.258 -0.01884526 -0.01072824 -0.258 -0.01845097 -0.01198166 -0.258 -0.01862806 -0.01169633 -0.258 -0.01637959 -0.01437932 -0.258 -0.01398164 -0.01645094 -0.258 -0.01369637 -0.01662802 -0.258 -0.01338875 -0.01675391 -0.2695 -0.004660904 0.009766221 -0.2695 2.94095e-4 0.005829572 -0.2695 -0.004535496 0.004535496 -0.258 -0.004535496 0.004535496 -0.2695 -0.01041316 0.007938325 -0.2695 -0.005829572 -2.94095e-4 -0.258 -0.005829453 -2.94711e-4 -0.2695 -0.01867765 0.01867765 -0.2695 -0.01384538 0.01632016 -0.2695 -0.006397962 0.009591519 -0.2695 -0.007938325 0.01041316 -0.2695 -0.000999987 0.01049983 -0.2695 0.003829598 0.002294063 -0.258 2.94711e-4 0.005829453 -0.2695 0.008413195 -0.005938351 -0.2695 0.002535462 -0.002535462 -0.258 0.003829956 0.002292454 -0.2695 0.007766187 -0.00266093 -0.2695 0.007591545 -0.004397988 -0.2695 0.00266093 -0.007766187 -0.2695 -0.002294063 -0.003829598 -0.258 0.002535462 -0.002535462 -0.2695 0.01184535 -0.01432025 -0.2695 0.01667755 -0.01667755 -0.2695 0.004397988 -0.007591545 -0.2695 0.005938351 -0.008413195 -0.2695 -0.000999987 -0.008499801 -0.258 -0.002292454 -0.003829956 -0.2695 -0.009766221 0.004660904 -0.2695 -0.009591519 0.006397962 -0.2695 0.02369207 -0.002910256 -0.257 0.01667755 -0.01667755 -0.2695 0.002910256 -0.02369207 -0.257 0.002911329 -0.02369189 -0.2695 0.01677876 -0.01024079 -0.2695 0.01204061 -0.01620054 -0.2695 0.01620054 -0.01204061 -0.2695 0.01432025 -0.01184535 -0.2695 0.02127552 0.01234877 -0.257 0.02369189 -0.002911329 -0.2695 0.01034873 0.02327555 -0.257 0.02127444 0.01235067 -0.2695 -0.00491029 0.0256921 -0.257 0.0103507 0.02327454 -0.257 -0.004911363 0.0256918 -0.2695 -0.0256921 0.00491029 -0.257 -0.01867765 0.01867765 -0.2695 -0.01404052 0.01820057 -0.2695 -0.01820057 0.01404052 -0.2695 -0.01632016 0.01384538 -0.2695 -0.02327555 -0.01034873 -0.257 -0.0256918 0.004911363 -0.2695 -0.01234877 -0.02127552 -0.257 -0.02327454 -0.0103507 -0.257 -0.01235067 -0.02127444 -0.2695 -0.01224076 0.0187788 -0.2695 0.01204061 0.01820057 -0.2695 0.01620054 0.01404052 -0.2695 0.01677876 0.01224076 -0.2695 0.01024079 -0.01677876 -0.2695 -0.01404052 -0.01620054 -0.2695 -0.01820057 -0.01204061 -0.2695 -0.0187788 -0.01024079 -0.258 -0.01224076 -0.01677876 -0.258 -0.01215726 -0.01674646 -0.2695 -0.01632016 -0.01184535 -0.2695 -0.01384538 -0.01432025 -0.258 -0.01425892 -0.01565784 -0.258 -0.01281726 -0.01688039 -0.2695 -0.01041316 -0.005938351 -0.2695 -0.007938325 -0.008413195 -0.258 -0.007938325 -0.008413195 -0.258 -0.01384538 -0.01432025 -0.2695 -0.009591519 -0.004397988 -0.2695 -0.006397962 -0.007591545 -0.2695 -0.009766221 -0.00266093 -0.2695 -0.004660904 -0.007766187 -0.258 -0.006397962 -0.007591545 -0.2695 -0.01049983 9.99986e-4 -0.258 -0.004660904 -0.007766187 -0.258 -9.99987e-4 -0.008499801 -0.258 0.00266093 -0.007766187 -0.258 0.004397988 -0.007591545 -0.258 0.01184535 -0.01432025 -0.258 0.005938351 -0.008413195 -0.258 0.01225888 -0.01565784 -0.258 0.01024079 -0.01677876 -0.258 0.01081722 -0.01688039 -0.258 0.01015716 -0.01674646 -0.258 -0.0187788 0.01224076 -0.258 -0.01874643 0.01215726 -0.258 -0.01765787 0.01425892 -0.258 -0.0188803 0.01281726 -0.258 -0.01041316 0.007938325 -0.258 -0.01632016 0.01384538 -0.258 -0.009591519 0.006397962 -0.258 -0.009766221 0.004660904 -0.258 -0.01049983 0.000999987 -0.258 -0.009766221 -0.00266093 -0.258 -0.009591519 -0.004397988 -0.258 -0.01632016 -0.01184535 -0.258 -0.01041316 -0.005938351 -0.258 -0.01765787 -0.01225888 -0.258 -0.0187788 -0.01024079 -0.258 -0.0188803 -0.01081722 -0.258 -0.01874643 -0.01015716 -0.258 0.01024079 0.0187788 -0.258 0.01015716 0.01874643 -0.2695 0.01432025 0.01384538 -0.2695 0.01184535 0.01632016 -0.258 0.01225888 0.01765787 -0.258 0.01081722 0.0188803 -0.2695 0.008413195 0.007938325 -0.2695 0.005938351 0.01041316 -0.258 0.005938351 0.01041316 -0.258 0.01184535 0.01632016 -0.2695 0.007591545 0.006397962 -0.2695 0.004397988 0.009591519 -0.2695 0.007766187 0.004660904 -0.2695 0.00266093 0.009766221 -0.258 0.004397988 0.009591519 -0.2695 0.008499801 9.9986e-4 -0.258 0.00266093 0.009766221 -0.258 -9.99987e-4 0.01049983 -0.258 -0.004660904 0.009766221 -0.258 -0.006397962 0.009591519 -0.258 -0.01384538 0.01632016 -0.258 -0.007938325 0.01041316 -0.258 -0.01425892 0.01765787 -0.258 -0.01224076 0.0187788 -0.258 -0.01281726 0.0188803 -0.258 -0.01215726 0.01874643 -0.258 0.01432025 0.01384538 -0.258 0.01565784 0.01425892 -0.258 0.01677876 0.01224076 -0.258 0.01688039 0.01281726 -0.258 0.01674646 0.01215726 -0.258 0.01677876 -0.01024079 -0.258 0.01674646 -0.01015716 -0.258 0.01565784 -0.01225888 -0.258 0.01688039 -0.01081722 -0.258 0.008413195 -0.005938351 -0.258 0.01432025 -0.01184535 -0.258 0.007591545 -0.004397988 -0.258 0.007766187 -0.00266093 -0.258 0.00849986 0.000999987 -0.258 0.007766187 0.004660904 -0.258 0.007591545 0.006397962 -0.258 0.008413195 0.007938325 -0.258 -0.0070104 0.0070104 -0.258 -0.00842458 0.0070104 -0.258 -0.0070104 0.00842458 -0.258 -0.00842458 0.00842458 -0.2585 -0.0070104 0.00842458 -0.2585 -0.007010579 0.007010579 -0.2585 -0.008424341 0.008424341 -0.2585 -0.00842458 0.0070104 -0.273 -0.01789981 0.01789981 -0.273 -0.02222251 0.01728338 -0.273 -0.01123672 0.02571374 -0.265 -0.01123672 0.02571374 -0.273 -0.01014608 0.02308064 -0.273 0.002492487 0.02752077 -0.265 0.002492487 0.02752077 -0.273 -0.01103901 0.02218765 -0.273 -0.01103901 0.02092486 -0.273 -0.01236552 0.0143066 -0.273 -0.01673305 0.01838308 -0.273 -0.01556628 0.01789981 -0.273 -0.01508307 0.01673305 -0.273 -0.02327072 0.01365357 -0.273 -0.0257135 0.0112366 -0.265 -0.02222251 0.01728338 -0.273 -0.01838308 0.01673305 -0.273 -0.01882898 0.01306891 -0.273 -0.02599799 0.01009941 -0.273 -0.02752077 0.004492461 -0.273 -0.02308064 -0.008146107 -0.273 -0.02571374 -0.009236752 -0.265 -0.02752077 0.004492461 -0.273 -0.02218765 -0.005990207 -0.273 -0.02489989 9.99987e-4 -0.273 -0.02308064 -0.006883263 -0.273 -0.02218765 -0.009039103 -0.273 -0.01728338 -0.0202226 -0.265 -0.02571374 -0.009236752 -0.273 -0.01365357 -0.02127069 -0.273 -0.0112366 -0.02371346 -0.265 -0.01728338 -0.0202226 -0.273 -0.02092486 -0.009039103 -0.273 -0.01838308 -0.01473301 -0.273 -0.01789981 -0.01589977 -0.273 -0.01673305 -0.01638311 -0.273 -0.01009941 -0.02399796 -0.273 -0.004492461 -0.0255208 -0.273 0.008146107 -0.02108067 -0.273 0.009236752 -0.0237137 -0.265 -0.004492461 -0.0255208 -0.273 0.006883263 -0.02108067 -0.273 0.005990207 -0.02018773 -0.273 1.66726e-4 -0.02241671 -0.273 -0.002166688 -0.02241671 -0.273 -9.99987e-4 -0.02289998 -0.273 -0.002649903 -0.02124989 -0.273 -0.005375683 -0.01784187 -0.273 -0.005960464 -0.02228355 -0.273 0.01589977 -0.01589977 -0.273 0.0202226 -0.0152834 -0.265 0.009236752 -0.0237137 -0.273 0.009039103 -0.02018773 -0.273 0.009039103 -0.01892489 -0.273 0.01036548 -0.01230663 -0.273 0.01473301 -0.01638311 -0.273 0.01356637 -0.01589977 -0.273 0.0130831 -0.01473301 -0.273 0.02127069 -0.01165366 -0.273 0.02371346 -0.009236633 -0.265 0.0202226 -0.0152834 -0.273 0.01638311 -0.01473301 -0.273 0.01682907 -0.01106888 -0.273 0.02399796 -0.008099436 -0.273 0.0255208 -0.002492487 -0.273 0.02108067 0.01014608 -0.273 0.0237137 0.01123672 -0.265 0.0255208 -0.002492487 -0.273 0.02018773 0.0079903 -0.273 0.02289998 9.99987e-4 -0.273 0.02108067 0.008883237 -0.273 0.02018773 0.01103901 -0.273 0.0152834 0.02222251 -0.265 0.0237137 0.01123672 -0.273 0.01165366 0.02327072 -0.273 0.009236633 0.0257135 -0.265 0.0152834 0.02222251 -0.273 0.01892489 0.01103901 -0.273 0.01638311 0.01673305 -0.273 0.01589977 0.01789981 -0.273 0.01473301 0.01838308 -0.273 0.008099436 0.02599799 -0.273 1.66726e-4 0.02441668 -0.273 -9.99987e-4 0.02489989 -0.273 -0.002166688 0.02441668 -0.273 6.5e-4 0.02324998 -0.273 0.003375709 0.01984179 -0.273 -0.0079903 0.02218765 -0.273 -0.008883237 0.02308064 -0.273 0.00396043 0.02428346 -0.27 0.008146107 -0.02108067 -0.27 0.009039103 -0.02018773 -0.27 0.006883263 -0.02108067 -0.273 3.72551e-4 -0.01644587 -0.273 0.005990207 -0.01892489 -0.27 0.005990207 -0.02018773 -0.273 6.5e-4 -0.02124989 -0.273 0.006883263 -0.01803189 -0.27 0.005990207 -0.01892489 -0.273 0.008146107 -0.01803189 -0.27 0.006883263 -0.01803189 -0.27 0.008146107 -0.01803189 -0.27 0.009039103 -0.01892489 -0.27 0.01589977 -0.01589977 -0.27 0.01638311 -0.01473301 -0.27 0.01473301 -0.01638311 -0.27 0.01356637 -0.01589977 -0.273 0.01511454 -0.006929934 -0.273 0.01356637 -0.01356637 -0.27 0.0130831 -0.01473301 -0.273 0.0160166 -0.003084361 -0.273 0.01473301 -0.0130831 -0.27 0.01356637 -0.01356637 -0.273 0.01589977 -0.01356637 -0.27 0.01473301 -0.0130831 -0.27 0.01589977 -0.01356637 -0.273 0.02241671 -1.66726e-4 -0.27 0.02289998 9.99987e-4 -0.273 0.02241671 0.002166688 -0.27 0.02241671 0.002166688 -0.273 0.02124989 -6.5e-4 -0.27 0.02241671 -1.66726e-4 -0.273 0.02228355 -0.00396043 -0.273 0.02008318 -1.66726e-4 -0.27 0.02124989 -6.5e-4 -0.273 0.01784187 -0.003375709 -0.273 0.01959997 9.99987e-4 -0.27 0.02008318 -1.66726e-4 -0.273 0.01473301 0.01508307 -0.273 0.02008318 0.002166688 -0.27 0.01959997 9.99987e-4 -0.273 0.01356637 0.01556628 -0.273 0.01892489 0.0079903 -0.273 0.02124989 0.002649903 -0.27 0.02008318 0.002166688 -0.273 0.01803189 0.008883237 -0.273 0.01589977 0.01556628 -0.27 0.02124989 0.002649903 -0.27 0.02108067 0.01014608 -0.27 0.02018773 0.01103901 -0.27 0.02108067 0.008883237 -0.27 0.02018773 0.0079903 -0.27 0.01892489 0.0079903 -0.273 0.01803189 0.01014608 -0.27 0.01803189 0.008883237 -0.27 0.01803189 0.01014608 -0.27 0.01892489 0.01103901 -0.27 0.01589977 0.01789981 -0.27 0.01473301 0.01838308 -0.27 0.01638311 0.01673305 -0.27 0.01589977 0.01556628 -0.27 0.01473301 0.01508307 -0.273 0.0130831 0.01673305 -0.27 0.01356637 0.01556628 -0.273 0.01356637 0.01789981 -0.27 0.0130831 0.01673305 -0.273 0.01516789 0.007696926 -0.273 0.01106888 0.01882898 -0.27 0.01356637 0.01789981 -0.27 -9.99987e-4 0.02489989 -0.27 -0.002166688 0.02441668 -0.27 1.66726e-4 0.02441668 -0.273 1.66726e-4 0.02208322 -0.27 6.5e-4 0.02324998 -0.273 -0.002372503 0.01844578 -0.273 -9.99987e-4 0.02159988 -0.27 1.66726e-4 0.02208322 -0.273 -0.002166688 0.02208322 -0.27 -9.99987e-4 0.02159988 -0.273 -0.002649903 0.02324998 -0.27 -0.002166688 0.02208322 -0.27 -0.002649903 0.02324998 -0.27 -0.01014608 0.02308064 -0.27 -0.01103901 0.02218765 -0.27 -0.008883237 0.02308064 -0.273 -0.0079903 0.02092486 -0.27 -0.0079903 0.02218765 -0.273 -0.008883237 0.0200318 -0.27 -0.0079903 0.02092486 -0.273 -0.01014608 0.0200318 -0.27 -0.008883237 0.0200318 -0.27 -0.01014608 0.0200318 -0.27 -0.01103901 0.02092486 -0.27 -0.01789981 0.01789981 -0.27 -0.01838308 0.01673305 -0.27 -0.01673305 0.01838308 -0.27 -0.01556628 0.01789981 -0.273 -0.01711457 0.008929908 -0.273 -0.01556628 0.01556628 -0.27 -0.01508307 0.01673305 -0.273 -0.01801651 0.005084276 -0.273 -0.01673305 0.01508307 -0.27 -0.01556628 0.01556628 -0.273 -0.01789981 0.01556628 -0.27 -0.01673305 0.01508307 -0.27 -0.01789981 0.01556628 -0.273 -0.02441668 0.002166688 -0.27 -0.02489989 9.99987e-4 -0.273 -0.02441668 -1.66726e-4 -0.27 -0.02441668 -1.66726e-4 -0.273 -0.02324998 0.002649903 -0.27 -0.02441668 0.002166688 -0.273 -0.02428346 0.005960464 -0.273 -0.02208322 0.002166688 -0.27 -0.02324998 0.002649903 -0.273 -0.01984179 0.005375683 -0.273 -0.02159988 9.99987e-4 -0.27 -0.02208322 0.002166688 -0.273 -0.01673305 -0.0130831 -0.273 -0.02208322 -1.66726e-4 -0.27 -0.02159988 9.99987e-4 -0.273 -0.01556628 -0.01356637 -0.273 -0.02092486 -0.005990207 -0.273 -0.02324998 -6.5e-4 -0.27 -0.02208322 -1.66726e-4 -0.273 -0.0200318 -0.006883263 -0.273 -0.01789981 -0.01356637 -0.27 -0.02324998 -6.5e-4 -0.27 -0.02308064 -0.008146107 -0.27 -0.02218765 -0.009039103 -0.27 -0.02308064 -0.006883263 -0.27 -0.02218765 -0.005990207 -0.27 -0.02092486 -0.005990207 -0.273 -0.0200318 -0.008146107 -0.27 -0.0200318 -0.006883263 -0.27 -0.0200318 -0.008146107 -0.27 -0.02092486 -0.009039103 -0.27 -0.01789981 -0.01589977 -0.27 -0.01673305 -0.01638311 -0.27 -0.01838308 -0.01473301 -0.27 -0.01789981 -0.01356637 -0.27 -0.01673305 -0.0130831 -0.273 -0.01508307 -0.01473301 -0.27 -0.01556628 -0.01356637 -0.273 -0.01556628 -0.01589977 -0.27 -0.01508307 -0.01473301 -0.273 -0.01716786 -0.005696952 -0.273 -0.01306891 -0.01682907 -0.27 -0.01556628 -0.01589977 -0.27 -9.99987e-4 -0.02289998 -0.27 1.66726e-4 -0.02241671 -0.27 -0.002166688 -0.02241671 -0.273 -0.002166688 -0.02008318 -0.27 -0.002649903 -0.02124989 -0.273 -9.99987e-4 -0.01959997 -0.27 -0.002166688 -0.02008318 -0.273 1.66726e-4 -0.02008318 -0.27 -9.99987e-4 -0.01959997 -0.27 1.66726e-4 -0.02008318 -0.27 6.5e-4 -0.02124989 -0.27 -0.01716786 -0.005696952 -0.273 -0.01014447 -0.01392054 -0.27 -0.01014447 -0.01392054 -0.27 -0.01801651 0.005084276 -0.27 -0.01236552 0.0143066 -0.273 0.006929934 0.01711457 -0.273 0.008144438 0.01592057 -0.27 -0.002372503 0.01844578 -0.27 0.008144438 0.01592057 -0.27 0.01516789 0.007696926 -0.27 0.0160166 -0.003084361 -0.27 0.01036548 -0.01230663 -0.273 -0.008929908 -0.01511454 -0.27 3.72551e-4 -0.01644587 -0.27067 0.0187335 -0.005528271 -0.27067 0.01756989 -0.006691932 -0.27067 0.02154254 -0.006691932 -0.27067 0.02037906 -0.005528271 -0.27067 0.02154254 -0.008337438 -0.27067 0.02037906 -0.009501039 -0.27067 0.01756989 -0.008337438 -0.27067 0.0187335 -0.009501039 -0.27067 0.005528271 0.02073353 -0.27067 0.006691932 0.01956993 -0.27067 0.006691932 0.02354264 -0.27067 0.005528271 0.02237904 -0.27067 0.008337438 0.02354264 -0.27067 0.009501039 0.02237904 -0.27067 0.008337438 0.01956993 -0.27067 0.009501039 0.02073353 -0.27067 -0.02073353 0.007528364 -0.27067 -0.01956993 0.008691906 -0.27067 -0.02354264 0.008691906 -0.27067 -0.02237904 0.007528364 -0.27067 -0.02354264 0.01033747 -0.27067 -0.02237904 0.01150101 -0.27067 -0.01956993 0.01033747 -0.27067 -0.02073353 0.01150101 -0.27067 -0.007528364 -0.0187335 -0.27067 -0.008691906 -0.01756989 -0.27067 -0.008691906 -0.02154254 -0.27067 -0.007528364 -0.02037906 -0.27067 -0.01033747 -0.02154254 -0.27067 -0.01150101 -0.02037906 -0.27067 -0.01033747 -0.01756989 -0.27067 -0.01150101 -0.0187335 -0.265 0.004953205 0.0257951 -0.265 -0.01075834 0.0245589 -0.265 0.01838958 0.01756167 -0.265 0.02442139 0.002999544 -0.265 0.02074229 -0.0123232 -0.265 0.008758425 -0.02255886 -0.265 -0.006953239 -0.02379506 -0.265 -0.02038949 -0.01556164 -0.265 -0.0264213 -9.99632e-4 -0.265 -0.02274239 0.01432323 -0.2655 0.008567035 -0.02209699 -0.2655 -0.006835997 -0.02330923 -0.2655 0.02031594 -0.01206243 -0.2655 0.02392292 0.002961397 -0.2655 0.01801002 0.01723617 -0.2655 0.004835963 0.02530926 -0.2655 -0.010567 0.02409696 -0.2655 -0.02231585 0.01406252 -0.2655 -0.02592289 -9.61447e-4 -0.2655 -0.02001011 -0.01523613 -0.27 -0.002962589 0.02592271 -0.27 -0.010567 0.02409696 -0.27 -0.01723515 0.02001076 -0.27 0.005528271 0.02237856 -0.27 0.004835486 0.02530914 -0.27 0.008337855 0.02354234 -0.27 0.01206278 0.0223155 -0.27 0.006691992 0.02354246 -0.27 0.01801079 0.01723515 -0.27 0.009501039 0.02237904 -0.27 0.02209699 0.010567 -0.27 0.02392274 0.002962589 -0.27 0.02330917 -0.004835486 -0.27 0.02154237 -0.008337855 -0.27 0.0203154 -0.01206278 -0.27 0.02154242 -0.006691992 -0.27 0.01523518 -0.01801079 -0.27 0.01757007 -0.008337378 -0.27 0.01873391 -0.009501099 -0.27 0.02037906 -0.009501039 -0.27 0.008567035 -0.02209699 -0.27 9.62632e-4 -0.02392274 -0.27 -0.007528245 -0.02037853 -0.27 -0.00683546 -0.02330917 -0.27 -0.01033776 -0.02154237 -0.27 -0.01406282 -0.0203154 -0.27 -0.008691966 -0.02154242 -0.27 -0.02001076 -0.01523518 -0.27 -0.01150101 -0.02037906 -0.27 -0.02409696 -0.008567035 -0.27 -0.02592271 -9.62632e-4 -0.27 -0.02530914 0.00683546 -0.27 -0.02354234 0.01033776 -0.27 -0.0223155 0.01406282 -0.27 -0.02354246 0.008691966 -0.27 -0.01957011 0.01033741 -0.27 -0.02073401 0.01150113 -0.27 -0.02237904 0.01150101 -0.27 0.005528271 0.02073353 -0.27 -0.007528364 -0.0187335 -0.27 -0.008691489 -0.01757013 -0.27 -0.02237856 0.007528245 -0.27 -0.01150113 -0.01873391 -0.27 -0.01033741 -0.01757007 -0.27 0.02037853 -0.005528271 -0.27 0.01757013 -0.006691515 -0.27 0.0187335 -0.005528271 -0.27 0.006691515 0.01957023 -0.27 0.009501099 0.02073401 -0.27 0.008337378 0.01957011 -0.27 -0.01957023 0.008691489 -0.27 -0.02073353 0.007528364 -0.238 -0.05374991 0.04349988 -0.238 -0.01324999 0.04349988 -0.253 -0.01324999 0.04349988 -0.238 -0.01324999 0.03599995 -0.253 -0.05374991 0.04349988 -0.253 -0.04724997 0.03599995 -0.2445 -0.01324999 0.03599995 -0.253 -0.01324999 0.03599995 -0.05182492 0.0269289 0.04349988 -0.008320629 0.03759002 0.04349988 -0.2179999 -0.008822917 0.03999996 -0.2279742 -0.04470813 0.04349988 -0.1821409 -0.004930734 0.04349988 -0.1832159 -0.006792664 0.04349988 -0.2075264 -0.0105499 0.04349988 -0.1549143 2.02036e-5 0.04349988 -0.2086014 -0.01241183 0.04349988 -0.2226921 -0.01618319 0.04349988 -0.07623416 0.0215258 0.04349988 -0.1006433 0.01612281 0.04349988 -0.1250525 0.01071977 0.04349988 -0.1494616 0.005316734 0.04349988 -0.1502866 0.003887832 0.04349988 -0.2257065 -0.01564979 0.04349988 -0.2300945 -0.01662111 0.04349988 -0.2326021 -0.0183767 0.04349988 -0.2331355 -0.02139103 0.04349988 0 0.03739988 0.04349988 0.009637415 0.03727316 0.04349988 -0.008320629 0.03759002 0.03599995 -0.001428902 0.0365749 0.04349988 -0.001428902 0.03492498 0.04349988 0 0.03349906 0.04349988 -0.01674795 0.02901214 0.04349988 -0.1721107 0.001334667 0.03599995 -0.1721107 0.001334667 0.03999996 0.02485191 0.02687281 0.04349988 0.02549362 0.02884972 0.04349988 0.009637415 0.03727316 0.03599995 0.001428902 0.0365749 0.04349988 0.01674795 0.0290122 0.04349988 0.02368527 0.02570611 0.04349988 0.02644574 0.02644574 0.04349988 0.03580874 0.01413965 0.04349988 0.02549362 0.02884972 0.03599995 0.03739988 0 0.04349988 0.03832721 -0.003635466 0.04349988 0.03580874 0.01413965 0.03599995 0.0365749 0.001428902 0.04349988 0.03492498 0.001428902 0.04349988 0.03492498 -0.001428902 0.04349988 0.03250449 -0.02063202 0.04349988 0.03832721 -0.003635466 0.03599995 0.0365749 -0.001428902 0.04349988 0.02644574 -0.02644574 0.04349988 0.01961249 -0.03312879 0.04349988 0.03250449 -0.02063202 0.03599995 0.03349989 0 0.04349988 0.02687281 -0.02485191 0.04349988 0.02901047 -0.01675176 0.04349988 0.01674795 -0.02901214 0.04349988 0.002449274 -0.03842192 0.04349988 0.01961249 -0.03312879 0.03599995 0.02485191 -0.02687281 0.04349988 0.02368527 -0.02570611 0.04349988 -0.137172 -0.04630345 0.04349988 0.002449274 -0.03842192 0.03599995 0.001428902 -0.0365749 0.04349988 0 -0.03739988 0.04349988 -0.02466118 -0.03118181 0.04349988 0.001428902 -0.03492498 0.04349988 -0.03717494 -0.03992891 0.04349988 -0.03634995 -0.03849995 0.04349988 -0.02840083 -0.03537839 0.04349988 -0.06217426 -0.04152256 0.04349988 -0.08717352 -0.04311621 0.04349988 -0.1121727 -0.0447098 0.04349988 -0.02566844 -0.03404623 0.04349988 -0.253 -0.05374991 0.02599996 -0.2238143 -0.04783546 0.04349988 -0.226472 -0.0470404 0.04349988 -0.238 -0.05374991 0.03599995 -0.253 -0.05007767 0.0348277 0.03739988 0 0.03599995 0.0365749 -0.001428902 0.03599995 0.0365749 0.001428902 0.03599995 0.03409993 0 0.04349988 0.03492498 0.001428902 0.03599995 0.03409993 0 0.03599995 0.02687281 0.02485191 0.04349988 0.03492498 -0.001428902 0.03599995 0.02644574 -0.02644574 0.03599995 0.02485191 -0.02687281 0.03599995 0.02570611 -0.02368527 0.04349988 0.02687281 -0.02485191 0.03599995 0.02411234 -0.02411234 0.04349988 0.02570611 -0.02368527 0.03599995 0.02411234 -0.02411234 0.03599995 0.02368527 -0.02570611 0.03599995 0 -0.03739988 0.03599995 -0.01674795 -0.0290122 0.04349988 -0.001428902 -0.0365749 0.04349988 -0.001428902 -0.0365749 0.03599995 -0.02368527 -0.02570611 0.04349988 0.001428902 -0.0365749 0.03599995 0 -0.03349906 0.04349988 0 -0.03409993 0.04349988 0.001428902 -0.03492498 0.03599995 -0.001428902 -0.03492498 0.04349988 0 -0.03409993 0.03599995 -0.001428902 -0.03492498 0.03599995 -0.02595835 -0.02843248 0.04349988 -0.02485191 -0.02687281 0.04349988 -0.02644574 -0.02644574 0.04349988 -0.02644574 -0.02644574 0.03599995 -0.02687281 -0.02485191 0.04349988 -0.02687281 -0.02485191 0.03599995 -0.02485191 -0.02687281 0.03599995 -0.02411234 -0.02411234 0.04349988 -0.02368527 -0.02570611 0.03599995 -0.02901047 -0.01675176 0.04349988 -0.02570611 -0.02368527 0.04349988 -0.02411234 -0.02411234 0.03599995 -0.02570611 -0.02368527 0.03599995 -0.03588396 -0.01394778 0.04349988 -0.0365749 -0.001428902 0.04349988 -0.03739988 0 0.04349988 -0.03739988 0 0.03599995 -0.03834623 0.003430247 0.04349988 -0.0365749 0.001428902 0.04349988 -0.0365749 0.001428902 0.03599995 -0.03492498 -0.001428902 0.04349988 -0.0365749 -0.001428902 0.03599995 -0.03409993 0 0.04349988 -0.03492498 -0.001428902 0.03599995 -0.03349989 0 0.04349988 -0.03492498 0.001428902 0.04349988 -0.03409993 0 0.03599995 -0.03492498 0.001428902 0.03599995 -0.03283518 0.0201022 0.04349988 -0.0371111 0.02609622 0.04349988 -0.02687281 0.02485191 0.04349988 -0.02644574 0.02644574 0.04349988 -0.02644574 0.02644574 0.03599995 -0.05017495 0.0269289 0.04349988 -0.02485191 0.02687281 0.04349988 -0.02485191 0.02687281 0.03599995 -0.02901047 0.01675176 0.04349988 -0.02570611 0.02368527 0.04349988 -0.02687281 0.02485191 0.03599995 -0.03411602 0.02557539 0.04349988 -0.03235274 0.02310365 0.04349988 -0.02411234 0.02411234 0.04349988 -0.02570611 0.02368527 0.03599995 -0.02368527 0.02570611 0.04349988 -0.02411234 0.02411234 0.03599995 -0.02368527 0.02570611 0.03599995 0 0.03739988 0.03599995 0.001428902 0.0365749 0.03599995 -0.001428902 0.0365749 0.03599995 0 0.03409993 0.04349988 -0.001428902 0.03492498 0.03599995 0.001428902 0.03492498 0.04349988 0 0.03409993 0.03599995 0.001428902 0.03492498 0.03599995 0.02644574 0.02644574 0.03599995 0.02687281 0.02485191 0.03599995 0.02485191 0.02687281 0.03599995 0.02411234 0.02411234 0.04349988 0.02368527 0.02570611 0.03599995 0.02901047 0.01675176 0.04349988 0.02570611 0.02368527 0.04349988 0.02411234 0.02411234 0.03599995 0.02570611 0.02368527 0.03599995 -0.1797651 -0.04040384 0.04349988 -0.1821409 -0.008654654 0.04349988 -0.1832159 -0.006792664 0.03999996 -0.1821409 -0.004930734 0.03999996 -0.2053764 -0.0105499 0.04349988 -0.1854321 -0.020226 0.04349988 -0.1836764 -0.02273356 0.04349988 -0.1799908 -0.008654654 0.04349988 -0.1821409 -0.008654654 0.03999996 -0.1792376 -0.01885485 0.04349988 -0.1789159 -0.006792664 0.04349988 -0.1799908 -0.008654654 0.03999996 -0.179771 -0.02186918 0.04349988 -0.1640372 -0.01428955 0.04349988 -0.1799908 -0.004930734 0.04349988 -0.1789159 -0.006792664 0.03999996 -0.17673 -0.0170992 0.04349988 -0.1579552 -0.004749715 0.04349988 -0.1799908 -0.004930734 0.03999996 -0.1610229 -0.01482295 0.04349988 -0.1574219 -0.001735389 0.04349988 -0.2080855 -0.02813667 0.04349988 -0.2075264 -0.01427382 0.04349988 -0.2086014 -0.01241183 0.03999996 -0.2075264 -0.0105499 0.03999996 -0.2098413 -0.02562904 0.04349988 -0.2050139 -0.04201334 0.04349988 -0.2053764 -0.01427382 0.04349988 -0.2075264 -0.01427382 0.03999996 -0.2043014 -0.01241183 0.04349988 -0.2053764 -0.01427382 0.03999996 -0.1884464 -0.01969259 0.04349988 -0.2043014 -0.01241183 0.03999996 -0.2011392 -0.02250224 0.04349988 -0.2036468 -0.02425783 0.04349988 -0.2041801 -0.02727216 0.04349988 -0.2053764 -0.0105499 0.03999996 -0.04934996 0.02549993 0.04349988 -0.04934996 0.02549993 0.03599995 -0.05017495 0.02407097 0.04349988 -0.05017495 0.02407097 0.03599995 -0.05017495 0.0269289 0.03599995 -0.05264997 0.02549993 0.04349988 -0.05182492 0.0269289 0.03599995 -0.05727756 0.02163231 0.04349988 -0.05182492 0.02407097 0.04349988 -0.05264997 0.02549993 0.03599995 -0.05182492 0.02407097 0.03599995 -0.06899404 0.01903885 0.04349988 -0.07458412 0.0215258 0.04349988 -0.07375913 0.02009689 0.04349988 -0.07375913 0.02009689 0.03599995 -0.07458412 0.01866799 0.04349988 -0.07458412 0.01866799 0.03599995 -0.07458412 0.0215258 0.03599995 -0.05978518 0.01987659 0.04349988 -0.06031852 0.01686233 0.04349988 -0.06597971 0.01850551 0.04349988 -0.07705914 0.02009689 0.04349988 -0.07623416 0.0215258 0.03599995 -0.08168679 0.01622927 0.04349988 -0.07623416 0.01866799 0.04349988 -0.07705914 0.02009689 0.03599995 -0.07623416 0.01866799 0.03599995 -0.09340322 0.01363581 0.04349988 -0.0989933 0.01612281 0.04349988 -0.09816831 0.01469385 0.04349988 -0.09816831 0.01469385 0.03599995 -0.0989933 0.01326495 0.04349988 -0.0989933 0.01326495 0.03599995 -0.0989933 0.01612281 0.03599995 -0.09038889 0.01310247 0.04349988 -0.08472776 0.01145935 0.04349988 -0.08419442 0.01447355 0.04349988 -0.1014683 0.01469385 0.04349988 -0.1006433 0.01612281 0.03599995 -0.106096 0.01082623 0.04349988 -0.1006433 0.01326495 0.04349988 -0.1014683 0.01469385 0.03599995 -0.1006433 0.01326495 0.03599995 -0.1178123 0.008232772 0.04349988 -0.1234025 0.01071977 0.04349988 -0.1225774 0.009290874 0.04349988 -0.1225774 0.009290874 0.03599995 -0.1234025 0.007861912 0.04349988 -0.1234025 0.007861912 0.03599995 -0.1234025 0.01071977 0.03599995 -0.1147981 0.00769937 0.04349988 -0.1091369 0.006056249 0.04349988 -0.1086035 0.009070575 0.04349988 -0.1258774 0.009290874 0.04349988 -0.1250525 0.01071977 0.03599995 -0.1305014 0.005424022 0.04349988 -0.1250525 0.007861912 0.04349988 -0.1258774 0.009290874 0.03599995 -0.1250525 0.007861912 0.03599995 -0.1422178 0.002830505 0.04349988 -0.1478117 0.005316734 0.04349988 -0.1469866 0.003887832 0.04349988 -0.1469866 0.003887832 0.03599995 -0.1478117 0.00245893 0.04349988 -0.1478117 0.00245893 0.03599995 -0.1478117 0.005316734 0.03599995 -0.133009 0.003668308 0.04349988 -0.1335424 6.54108e-4 0.04349988 -0.1392035 0.002297163 0.04349988 -0.1494616 0.005316734 0.03599995 -0.1494616 0.00245893 0.04349988 -0.1502866 0.003887832 0.03599995 -0.1494616 0.00245893 0.03599995 -0.03717494 -0.03707098 0.04349988 -0.03634995 -0.03849995 0.03599995 -0.03717494 -0.03992891 0.03599995 -0.04505228 -0.03643995 0.04349988 -0.03882497 -0.03707098 0.04349988 -0.03717494 -0.03707098 0.03599995 -0.03964996 -0.03849995 0.04349988 -0.03882497 -0.03707098 0.03599995 -0.03882497 -0.03992891 0.04349988 -0.03964996 -0.03849995 0.03599995 -0.06134921 -0.0400936 0.04349988 -0.03882497 -0.03992891 0.03599995 -0.05717176 -0.03721249 0.04349988 -0.04771012 -0.03564476 0.04349988 -0.05422902 -0.0356242 0.04349988 -0.06217426 -0.03866457 0.04349988 -0.06134921 -0.0400936 0.03599995 -0.06217426 -0.04152256 0.03599995 -0.07030117 -0.03804939 0.04349988 -0.06382423 -0.03866457 0.04349988 -0.06217426 -0.03866457 0.03599995 -0.06464922 -0.0400936 0.04349988 -0.06382423 -0.03866457 0.03599995 -0.06382423 -0.04152256 0.04349988 -0.06464922 -0.0400936 0.03599995 -0.08634847 -0.04168725 0.04349988 -0.06382423 -0.04152256 0.03599995 -0.08242064 -0.03882205 0.04349988 -0.07947784 -0.03723376 0.04349988 -0.07295894 -0.03725433 0.04349988 -0.08717352 -0.04025822 0.04349988 -0.08634847 -0.04168725 0.03599995 -0.08717352 -0.04311621 0.03599995 -0.09555006 -0.03965902 0.04349988 -0.08882349 -0.04025822 0.04349988 -0.08717352 -0.04025822 0.03599995 -0.08964848 -0.04168725 0.04349988 -0.08882349 -0.04025822 0.03599995 -0.08882349 -0.04311621 0.04349988 -0.08964848 -0.04168725 0.03599995 -0.1113477 -0.04328083 0.04349988 -0.08882349 -0.04311621 0.03599995 -0.1076695 -0.04043155 0.04349988 -0.1047267 -0.03884339 0.04349988 -0.09820783 -0.03886383 0.04349988 -0.1121727 -0.04185187 0.04349988 -0.1113477 -0.04328083 0.03599995 -0.1121727 -0.0447098 0.03599995 -0.1207951 -0.04126828 0.04349988 -0.1138228 -0.04185187 0.04349988 -0.1121727 -0.04185187 0.03599995 -0.1146478 -0.04328083 0.04349988 -0.1138228 -0.04185187 0.03599995 -0.1138228 -0.0447098 0.04349988 -0.1146478 -0.04328083 0.03599995 -0.1363469 -0.04487442 0.04349988 -0.1138228 -0.0447098 0.03599995 -0.1329145 -0.04204094 0.04349988 -0.1234529 -0.04047322 0.04349988 -0.1299718 -0.04045259 0.04349988 -0.137172 -0.04344552 0.04349988 -0.1363469 -0.04487442 0.03599995 -0.137172 -0.04630345 0.03599995 -0.1460478 -0.04287815 0.04349988 -0.138822 -0.04344552 0.04349988 -0.137172 -0.04344552 0.03599995 -0.139647 -0.04487442 0.04349988 -0.138822 -0.04344552 0.03599995 -0.138822 -0.04630345 0.04349988 -0.139647 -0.04487442 0.03599995 -0.208665 -0.04686981 0.04349988 -0.138822 -0.04630345 0.03599995 -0.1581673 -0.04365062 0.04349988 -0.1712965 -0.04448765 0.04349988 -0.1834161 -0.04526025 0.04349988 -0.1552245 -0.04206246 0.04349988 -0.1487056 -0.04208296 0.04349988 -0.1965455 -0.04609715 0.04349988 -0.17673 -0.0170992 0.03749996 -0.1640372 -0.01428955 0.03749996 -0.1792376 -0.01885485 0.03749996 -0.1754565 -0.04136019 0.04349988 -0.179771 -0.02186918 0.03749996 -0.1739544 -0.04369246 0.04349988 -0.1754565 -0.04136019 0.03749996 -0.1804733 -0.04367202 0.04349988 -0.1739544 -0.04369246 0.03749996 -0.1712965 -0.04448765 0.03749996 -0.1581673 -0.04365062 0.03749996 -0.1545162 -0.03879427 0.04349988 -0.1552245 -0.04206246 0.03749996 -0.1592673 -0.01733052 0.04349988 -0.1545162 -0.03879427 0.03749996 -0.1502076 -0.03975069 0.04349988 -0.1592673 -0.01733052 0.03749996 -0.1610229 -0.01482295 0.03749996 -0.02840083 -0.03537839 0.03749996 -0.04505228 -0.03643995 0.03749996 -0.02566844 -0.03404623 0.03749996 -0.02466118 -0.03118181 0.03749996 -0.02595835 -0.02843248 0.03749996 -0.03588247 -0.01395165 0.03749996 -0.03834587 0.003434479 0.03749996 -0.03283518 0.0201022 0.03749996 -0.03235274 0.02310365 0.03749996 -0.03411602 0.02557539 0.03749996 -0.0371111 0.02609622 0.03749996 -0.05727756 0.02163231 0.03749996 -0.05978518 0.01987659 0.03749996 -0.05352073 -0.03235614 0.04349988 -0.04921221 -0.03331243 0.04349988 -0.06031852 0.01686233 0.03749996 -0.06422406 0.01599782 0.04349988 -0.04921221 -0.03331243 0.03749996 -0.04771012 -0.03564476 0.03749996 -0.1797651 -0.04040384 0.03749996 -0.1804733 -0.04367202 0.03749996 -0.1836764 -0.02273356 0.03749996 -0.1854321 -0.020226 0.03749996 -0.1884464 -0.01969259 0.03749996 -0.2011392 -0.02250224 0.03749996 -0.2036468 -0.02425783 0.03749996 -0.2007054 -0.04296982 0.04349988 -0.2041801 -0.02727216 0.03749996 -0.1992033 -0.04530209 0.04349988 -0.2007054 -0.04296982 0.03749996 -0.2057222 -0.04528152 0.04349988 -0.1992033 -0.04530209 0.03749996 -0.1965455 -0.04609715 0.03749996 -0.1834161 -0.04526025 0.03749996 -0.2050139 -0.04201334 0.03749996 -0.2057222 -0.04528152 0.03749996 -0.2080855 -0.02813667 0.03749996 -0.2128555 -0.0250957 0.04349988 -0.2098413 -0.02562904 0.03749996 -0.2143259 -0.02542114 0.04349988 -0.2128555 -0.0250957 0.03749996 -0.2209365 -0.018691 0.04349988 -0.2180945 -0.02475529 0.04349988 -0.2143259 -0.02542114 0.03749996 -0.2202883 -0.02161961 0.04349988 -0.2180939 -0.0247544 0.03749996 -0.2209365 -0.018691 0.03749996 -0.2202883 -0.02161961 0.03749996 -0.2226921 -0.01618319 0.03749996 -0.2300945 -0.01662111 0.03749996 -0.2257065 -0.01564979 0.03749996 -0.2326021 -0.0183767 0.03749996 -0.2331355 -0.02139103 0.03749996 -0.2279742 -0.04470813 0.03749996 -0.226472 -0.0470404 0.03749996 -0.2238143 -0.04783546 0.03749996 -0.208665 -0.04686981 0.03749996 -0.1130424 0.005191743 0.04349988 -0.1040185 -0.03557521 0.04349988 -0.1040185 -0.03557521 0.03749996 -0.1047267 -0.03884339 0.03749996 -0.09970998 -0.03653156 0.04349988 -0.1130424 0.005191743 0.03749996 -0.1147981 0.00769937 0.03749996 -0.1178123 0.008232772 0.03749996 -0.1305014 0.005424022 0.03749996 -0.133009 0.003668308 0.03749996 -0.1292635 -0.03718447 0.04349988 -0.1249549 -0.03814089 0.04349988 -0.1335424 6.54108e-4 0.03749996 -0.1374478 -2.10377e-4 0.04349988 -0.1249549 -0.03814089 0.03749996 -0.1234529 -0.04047322 0.03749996 -0.1207951 -0.04126828 0.03749996 -0.1076695 -0.04043155 0.03749996 -0.1091369 0.006056249 0.03749996 -0.1086035 0.009070575 0.03749996 -0.09970998 -0.03653156 0.03749996 -0.09820783 -0.03886383 0.03749996 -0.09555006 -0.03965902 0.03749996 -0.08242064 -0.03882205 0.03749996 -0.07876962 -0.03396564 0.04349988 -0.07947784 -0.03723376 0.03749996 -0.08863323 0.01059484 0.04349988 -0.07876962 -0.03396564 0.03749996 -0.07446116 -0.03492206 0.04349988 -0.08863323 0.01059484 0.03749996 -0.09038889 0.01310247 0.03749996 -0.09340322 0.01363581 0.03749996 -0.106096 0.01082623 0.03749996 -0.08472776 0.01145935 0.03749996 -0.08419442 0.01447355 0.03749996 -0.07446116 -0.03492206 0.03749996 -0.07295894 -0.03725433 0.03749996 -0.07030117 -0.03804939 0.03749996 -0.05717176 -0.03721249 0.03749996 -0.05422902 -0.0356242 0.03749996 -0.05352073 -0.03235614 0.03749996 -0.06422406 0.01599782 0.03749996 -0.06597971 0.01850551 0.03749996 -0.06899404 0.01903885 0.03749996 -0.08168679 0.01622927 0.03749996 -0.1292635 -0.03718447 0.03749996 -0.1299718 -0.04045259 0.03749996 -0.1374478 -2.10377e-4 0.03749996 -0.1392035 0.002297163 0.03749996 -0.1422178 0.002830505 0.03749996 -0.1549143 2.02036e-5 0.03749996 -0.1574219 -0.001735389 0.03749996 -0.1579552 -0.004749715 0.03749996 -0.1502076 -0.03975069 0.03749996 -0.1487056 -0.04208296 0.03749996 -0.1460478 -0.04287815 0.03749996 -0.1329145 -0.04204094 0.03749996 -0.03299999 0 0.04299998 -0.02857935 0.01649904 0.04299998 -0.02857935 -0.0164991 0.04299998 -0.01650053 -0.02857846 0.04299998 0 -0.03299999 0.04299998 0.01650053 -0.02857846 0.04299998 0.02857935 -0.01649904 0.04299998 0.03299999 0 0.04299998 0.02857935 0.0164991 0.04299998 0.01650053 0.02857846 0.04299998 0 0.03299999 0.04299998 -0.01650053 0.02857846 0.04299998 0.02963012 0.00469619 0.03599995 0.02569025 7.00708e-5 0.03599995 0.02872473 0.001476526 0.03599995 -0.001160085 0.001996815 0.03599995 -0.01037937 -0.009336054 0.03599995 -0.007999956 -0.001999974 0.03599995 3.07938e-4 5.3674e-4 0.03599995 0.002309322 6.2989e-6 0.03599995 -0.02436643 -0.01388621 0.03599995 -0.03062057 -0.009336054 0.03599995 -0.01663351 -0.01388627 0.03599995 -0.03299999 -0.001999974 0.03599995 -0.02436637 0.009886264 0.03599995 -0.01663351 0.009886205 0.03599995 -0.01322311 0.02554291 0.03599995 -0.03062057 0.005336046 0.03599995 0.002235591 0.02991628 0.03599995 -0.01090055 0.02794951 0.03599995 0.02469784 0.01702922 0.03599995 0.01492875 0.02602112 0.03599995 -0.01090055 0.02794951 0.03749996 -0.01322311 0.02554291 0.03749996 0 0.02999997 0.03949993 0.01500201 0.02597862 0.03949993 0.02597862 0.01500201 0.03949993 0.02963012 0.00469619 0.03749996 0.02872473 0.001476526 0.03749996 0.02569025 7.00708e-5 0.03749996 0.002309322 6.2989e-6 0.03749996 3.07938e-4 5.3674e-4 0.03749996 -0.01037937 0.005336046 0.03599995 -0.01290577 0.02221339 0.03599995 -0.001160085 0.001996815 0.03749996 -0.01290577 0.02221339 0.03749996 -0.02946442 -0.001999974 0.03453546 -0.02775233 -0.007269144 0.03453546 -0.02775233 0.003269076 0.03453546 -0.02327013 0.006525695 0.03453546 -0.01324748 0.003269076 0.03453546 -0.01772975 0.006525695 0.03453546 -0.01153546 -0.001999974 0.03453546 -0.01324748 -0.007269144 0.03453546 -0.01772975 -0.0105257 0.03453546 -0.02327013 -0.0105257 0.03453546 -0.17147 -0.01081389 0.03599995 -0.1699495 -0.008428871 0.03599995 -0.1702162 -0.009936034 0.03599995 -0.1699495 -0.008428871 0.03999996 -0.1702162 -0.009936034 0.03999996 -0.2119892 -0.0197829 0.03599995 -0.17147 -0.01081389 0.03999996 -0.2146267 -0.01931619 0.03599995 -0.2119892 -0.0197829 0.03999996 -0.2161629 -0.01712203 0.03599995 -0.2146267 -0.01931619 0.03999996 -0.2179999 -0.008822917 0.03599995 -0.2161629 -0.01712203 0.03999996 -0.238 -0.01817494 0.03286188 -0.238 -0.01324999 0.02599996 -0.238 -0.05374991 0.02599996 -0.238 -0.04707497 0.02957105 -0.238 -0.04707497 0.03242892 -0.238 -0.04542493 0.03242892 -0.238 -0.03889989 0.03099989 -0.238 -0.04789996 0.03099989 -0.238 -0.03807497 0.03242892 -0.238 -0.03642499 0.03242892 -0.238 -0.02932488 0.03286188 -0.238 -0.020325 0.03286188 -0.238 -0.02717489 0.03286188 -0.2445 -0.04724997 0.03599995 -0.2445 -0.04707497 0.03242892 -0.2445 -0.05007767 0.0348277 -0.2445 -0.04789996 0.03099989 -0.2445 -0.01324999 0.02599996 -0.2445 -0.01817494 0.02913796 -0.2445 -0.04542493 0.03242892 -0.2445 -0.03807497 0.03242892 -0.2445 -0.03642499 0.03242892 -0.2445 -0.02932488 0.03286188 -0.2445 -0.01709991 0.03099989 -0.2445 -0.01817494 0.03286188 -0.2445 -0.020325 0.03286188 -0.2445 -0.02609992 0.03099989 -0.2445 -0.02717489 0.03286188 -0.253 -0.05124998 0.032 -0.253 -0.05124998 0.02599996 -0.2445 -0.05124998 0.032 -0.2445 -0.05124998 0.02599996 -0.238 -0.04542493 0.02957105 -0.238 -0.03807497 0.02957105 -0.238 -0.03642499 0.02957105 -0.238 -0.02932488 0.02913796 -0.238 -0.01709991 0.03099989 -0.238 -0.01817494 0.02913796 -0.238 -0.020325 0.02913796 -0.238 -0.02609992 0.03099989 -0.238 -0.02717489 0.02913796 -0.2445 -0.04707497 0.02957105 -0.2445 -0.04542493 0.02957105 -0.2445 -0.03889989 0.03099989 -0.2445 -0.03807497 0.02957105 -0.2445 -0.03642499 0.02957105 -0.2445 -0.03039991 0.03099989 -0.2445 -0.020325 0.02913796 -0.2445 -0.02717489 0.02913796 -0.2445 -0.02932488 0.02913796 -0.0240339 -0.005536496 0.03299999 -0.02549993 -0.001999974 0.02599996 -0.02549993 -0.001999974 0.03299999 -0.02403599 0.001535058 0.02599996 -0.02182561 -0.004293978 0.03299999 -0.0240339 0.001536428 0.03299999 -0.0231499 -0.001999974 0.03299999 -0.02279394 -0.003325641 0.03299999 -0.02403599 -0.005535066 0.02599996 -0.02799993 -0.001999974 0.02599996 -0.0258032 0.003303289 0.02599996 -0.0205 -0.006999194 0.03299999 -0.0205 -0.006998181 0.02599996 -0.0258032 -0.007303297 0.02599996 -0.01696604 -0.005536496 0.03299999 -0.01696389 -0.005535066 0.02599996 -0.01519668 -0.007303297 0.02599996 -0.01549988 -0.001999974 0.03299999 -0.01549988 -0.001999974 0.02599996 -0.01696604 0.001536428 0.03299999 -0.01696389 0.001535058 0.02599996 -0.01299995 -0.001999974 0.02599996 -0.01784998 -0.001999974 0.03299999 -0.01917427 2.94046e-4 0.03299999 -0.01820594 -6.74351e-4 0.03299999 -0.0205 -0.004649937 0.03299999 -0.01820594 -0.003325641 0.03299999 -0.01917427 -0.004293978 0.03299999 -0.0205 0.002999186 0.03299999 -0.0205 0.002998173 0.02599996 -0.01519668 0.003303289 0.02599996 -0.0205 6.5e-4 0.03299999 -0.02279394 -6.74351e-4 0.03299999 -0.02182561 2.94046e-4 0.03299999 -0.0135709 8.70135e-4 0.03099989 -0.01299995 -0.001999974 0.03099989 -0.0135709 -0.004870057 0.03099989 -0.01519668 0.003303289 0.03099989 -0.0205 0.005499899 0.02599996 -0.01762986 0.004929006 0.03099989 -0.0205 0.005499899 0.03099989 -0.02337002 0.004929006 0.03099989 -0.0258032 0.003303289 0.03099989 -0.02742904 8.70133e-4 0.03099989 -0.02799993 -0.001999974 0.03099989 -0.02742904 -0.004870057 0.03099989 -0.01519668 -0.007303297 0.03099989 -0.0258032 -0.007303297 0.03099989 -0.0205 -0.009499967 0.02599996 -0.02337002 -0.008929073 0.03099989 -0.0205 -0.009499967 0.03099989 -0.01762986 -0.008929073 0.03099989 9.50889e-5 -0.01449966 0.03749996 -0.00419712 -0.01387917 0.03749996 0.004380524 -0.01382237 0.03749996 0.01646608 -0.002903342 0.03749996 0.01523268 -0.002685904 0.03749996 0.01451218 -0.002833425 0.03749996 0.01408743 -0.003433883 0.03749996 0.01314187 -0.006126344 0.03749996 0.01168572 -0.00858438 0.03749996 0.0114988 -0.009295642 0.03749996 0.006069064 -0.01557976 0.03749996 0.005114138 -0.01387357 0.03749996 0.005614459 -0.01441276 0.03749996 0.02597904 -0.01500231 0.03749996 0.01726514 -0.00412029 0.03749996 0.01712828 -0.00333935 0.03749996 0.02999997 0 0.03749996 0.02990734 0.002355337 0.03749996 0.02999997 0 0.03949993 0.01608657 -0.007501125 0.03749996 0.0149976 -0.0259813 0.03749996 0.02597862 -0.01500201 0.03949993 1.2392e-4 -0.01774948 0.03749996 0 -0.02999907 0.03749996 0.01500201 -0.02597862 0.03949993 0.01280832 -0.01074749 0.03749996 0.01184886 -0.009942412 0.03749996 0.01356798 -0.01097452 0.03749996 0.01425415 -0.01057732 0.03749996 0.00544393 -0.01689445 0.03749996 0.006040394 -0.01637208 0.03749996 -0.0148999 -0.001999974 0.03749996 -0.0149976 -0.0259813 0.03749996 0 -0.02999997 0.03949993 -0.005208134 -0.01696866 0.03749996 -0.005809843 -0.01645845 0.03749996 -0.02445799 -0.005960822 0.03749996 -0.02597904 -0.01500231 0.03749996 -0.01500201 -0.02597862 0.03949993 -0.01654189 -0.005960822 0.03749996 -0.0205 -0.007599115 0.03749996 -0.02763545 0.01167255 0.03749996 -0.02999997 0 0.03749996 -0.02597862 -0.01500201 0.03949993 -0.02609992 -0.001999974 0.03749996 -0.02999997 0 0.03949993 -0.02445799 0.001960813 0.03749996 -0.02091205 0.0215094 0.03749996 -0.02597862 0.01500201 0.03949993 -0.01500201 0.02597862 0.03949993 -0.01654189 0.001960813 0.03749996 -0.0205 0.003599107 0.03749996 -0.004934132 -0.01394218 0.03749996 -0.005426228 -0.01449435 0.03749996 -0.005854368 -0.01567065 0.03749996 0.01280832 -0.01074749 0.04349988 0.0114988 -0.009295642 0.04349988 0.01184886 -0.009942412 0.04349988 0.01356798 -0.01097452 0.04349988 0.01425415 -0.01057732 0.04349988 0.01608747 -0.007499456 0.04349988 0.01726514 -0.00412029 0.04349988 0.01712828 -0.00333935 0.04349988 0.01523268 -0.002685904 0.04349988 0.01646608 -0.002903342 0.04349988 0.01451218 -0.002833425 0.04349988 0.01408743 -0.003433883 0.04349988 0.01314324 -0.006123304 0.04349988 0.01168572 -0.00858438 0.04349988 0.004380524 -0.01382237 0.04349988 0.005114138 -0.01387357 0.04349988 9.68383e-5 -0.01449966 0.04349988 -0.00419712 -0.01387917 0.04349988 -0.004934132 -0.01394218 0.04349988 -0.005854368 -0.01567065 0.04349988 -0.005426228 -0.01449435 0.04349988 -0.005809843 -0.01645845 0.04349988 -0.005208134 -0.01696866 0.04349988 1.22376e-4 -0.01774948 0.04349988 0.00544393 -0.01689445 0.04349988 0.006040394 -0.01637208 0.04349988 0.005614459 -0.01441276 0.04349988 0.006069064 -0.01557976 0.04349988 -0.01784998 -0.001999974 0.03454995 -0.01820492 -0.003324985 0.03454995 -0.01917499 2.94967e-4 0.03454995 -0.01820492 -6.75e-4 0.03454995 -0.0205 6.5e-4 0.03454995 -0.02279496 -6.75e-4 0.03454995 -0.02182495 2.94967e-4 0.03454995 -0.0231499 -0.001999974 0.03454995 -0.02182495 -0.004294872 0.03454995 -0.02279496 -0.003324985 0.03454995 -0.0205 -0.004649937 0.03454995 -0.01917499 -0.004294872 0.03454995 0.02857697 -0.01650255 0.03949993 0.03299999 0 0.03949993 0 -0.03299903 0.03949993 0.01649737 -0.02857947 0.03949993 -0.01649737 -0.02857947 0.03949993 -0.02857697 -0.01650255 0.03949993 -0.03299999 0 0.03949993 -0.02857697 0.01650255 0.03949993 0.02857697 0.01650255 0.03949993 0 0.03299903 0.03949993 -0.01649737 0.02857947 0.03949993 0.01649737 0.02857947 0.03949993 4.00491e-4 -0.0158081 0.04349988 8e-4 -0.01649999 0.04349988 8e-4 -0.01649999 0.03869998 4.00491e-4 -0.01719176 0.04349988 4e-4 -0.01719278 0.03869998 -4.00491e-4 -0.0158081 0.04349988 4e-4 -0.01580715 0.03869998 -8e-4 -0.01649999 0.04349988 -4e-4 -0.01580715 0.03869998 -4.00491e-4 -0.01719176 0.04349988 -8e-4 -0.01649999 0.03869998 -4e-4 -0.01719278 0.03869998 0.01496911 -0.007054388 0.04349988 0.01536858 -0.007746279 0.04349988 0.01536858 -0.007746279 0.03749996 0.01496911 -0.00843811 0.04349988 0.01496863 -0.008439064 0.03749996 0.01416814 -0.007054388 0.04349988 0.01496863 -0.007053375 0.03749996 0.01376861 -0.007746279 0.04349988 0.01416862 -0.007053375 0.03749996 0.01416814 -0.00843811 0.04349988 0.01376861 -0.007746279 0.03749996 0.01416862 -0.008439064 0.03749996 -0.2445 -0.04459995 0.03099989 -0.238 -0.04459995 0.03099989 -0.2445 -0.03559988 0.03099989 -0.238 -0.03559988 0.03099989 -0.2445 -0.02139997 0.03099989 -0.238 -0.02139997 0.03099989 -0.238 -0.03039991 0.03099989 0 -0.01649999 0.03821927 0.01456856 -0.007746279 0.03701931 0.02643913 0.02095204 0.04979991 0.02597999 0.01500082 0.04979991 0.02999997 0 0.04979991 0.02999997 0 0.04749995 0.02919465 -0.02824991 0.04979991 0.03765833 -0.01523935 0.04979991 0.0312699 0 0.04979991 0.02752298 -0.01193672 0.04979991 0.02597999 -0.01500082 0.04749995 0.02960604 0.0241189 0.04979991 0.02211111 0.02211111 0.04979991 0.01500082 0.02597999 0.04979991 0.02597999 0.01500082 0.04749995 0 0.0312699 0.04979991 0 0.02999997 0.04979991 0.01500082 0.02597999 0.04749995 0.003879845 0.03798925 0.04979991 0.01017981 0.03932851 0.04979991 0.02095204 0.02643913 0.04979991 0.003879845 0.03351062 0.04979991 -0.003879845 0.03351062 0.04979991 -0.01500082 0.02597999 0.04979991 0 0.02999997 0.04749995 -0.02211111 0.02211111 0.04979991 -0.02597999 0.01500082 0.04979991 -0.01500082 0.02597999 0.04749995 -0.007508814 0.03992462 0.04979991 -0.02377206 0.03294318 0.04979991 -0.02095204 0.02643913 0.04979991 -0.02960604 0.0241189 0.04979991 -0.02999997 0 0.04979991 -0.02597999 0.01500082 0.04749995 -0.02643913 0.02095204 0.04979991 -0.03552293 0.0197103 0.04979991 -0.0291441 -0.007114291 0.04979991 -0.02999997 0 0.04749995 -0.0303747 0.02697676 0.04979991 -0.04053205 0.002746284 0.04979991 -0.02662718 -0.01381999 0.04979991 -0.02662718 -0.01381999 0.05779999 -0.02597999 -0.01500082 0.04749995 -0.01727479 -0.02452707 0.05779999 -0.03660243 0.01762491 0.04379993 -0.04062491 0 0.04379993 -0.04053205 0.002746284 0.05779999 -0.02844685 0.02844685 0.04979991 -0.02533042 0.03176057 0.04379993 -0.009040474 0.03960591 0.04379993 -0.0241189 0.02960604 0.04979991 0 0.04022991 0.04979991 0.001368284 0.04060184 0.04979991 -0.003879845 0.03798925 0.04979991 0.009040474 0.03960591 0.04379993 0.0241189 0.02960604 0.04979991 0.0259366 0.03126758 0.04979991 0.02533042 0.03176057 0.04379993 0.02844685 0.02844685 0.04979991 0.03212267 0.02486968 0.04979991 0.03351062 0.003879845 0.04979991 0.03677016 0.01727235 0.04979991 0.03660243 0.01762491 0.04379993 0.04022991 0 0.04979991 0.04062491 0 0.04979991 0.03798925 0.003879845 0.04979991 0.03798925 -0.003879845 0.04979991 0.04062491 0 0.04379993 0.03660243 -0.01762491 0.04379993 0.03351062 -0.003879845 0.04979991 0.02050179 -0.02190142 0.04979991 0.01009637 -0.02824991 0.04979991 0.02919465 -0.02824991 0.05779999 0.02533042 -0.03176057 0.04379993 0.02173554 -0.03432124 0.04979991 0.02150249 -0.03446745 0.05779999 0.01500082 -0.02597999 0.04749995 0.01009637 -0.02824991 0.05779999 0 -0.02999997 0.04749995 0.03359997 0 0.04746997 0.034675 0.00186187 0.04746997 0.034675 -0.00186187 0.04746997 0.036825 -0.00186187 0.04746997 0.03789997 0 0.04746997 0.036825 0.00186187 0.04746997 -0.0237587 0.0237587 0.04746997 -0.02583551 0.0232023 0.04746997 -0.0232023 0.02583551 0.04746997 -0.02472257 0.02735579 0.04746997 -0.02679932 0.02679932 0.04746997 -0.02735579 0.02472257 0.04746997 0 0.03359997 0.04746997 -0.00186187 0.034675 0.04746997 0.00186187 0.034675 0.04746997 0.00186187 0.036825 0.04746997 0 0.03789997 0.04746997 -0.00186187 0.036825 0.04746997 0.0237587 0.0237587 0.04746997 0.0232023 0.02583551 0.04746997 0.02583551 0.0232023 0.04746997 0.02735579 0.02472257 0.04746997 0.02679932 0.02679932 0.04746997 0.02472257 0.02735579 0.04746997 -0.02857798 -0.01650089 0.04379993 -0.03660243 -0.01762491 0.04379993 -0.04062491 0 0.04979991 -0.03299999 0 0.04379993 -0.02583605 -0.02735537 0.04379993 -0.02533042 -0.03176057 0.04379993 -0.03613895 -0.01855707 0.04979991 -0.02472198 -0.02320265 0.04379993 -0.02679932 -0.0237587 0.04379993 -0.02735537 -0.02583605 0.04379993 -0.03948831 -0.009542584 0.04979991 -0.001074314 -0.03761202 0.04379993 -0.009040474 -0.03960591 0.04379993 -0.02366632 -0.0330196 0.04979991 -0.01650089 -0.02857798 0.04379993 0 -0.03299999 0.04379993 0.001074314 -0.03388792 0.04379993 -0.001074314 -0.03388792 0.04379993 -0.002149999 -0.03574997 0.04379993 -0.03076452 -0.02653157 0.04979991 0.009040474 -0.03960591 0.04379993 -0.005963027 -0.04018497 0.04979991 -0.0152418 -0.03765732 0.04979991 0.0130586 -0.03846889 0.04979991 0.002149999 -0.03574997 0.04379993 0.001074314 -0.03761202 0.04379993 0.00364995 -0.04046064 0.04979991 0.01650089 -0.02857798 0.04379993 0.03789997 0 0.04379993 0.02857798 -0.01650089 0.04379993 0.03467559 -0.001861989 0.04379993 0.03682422 -0.001861989 0.04379993 0.02857798 0.01650089 0.04379993 0.03682422 0.001861989 0.04379993 0.02679932 0.02679932 0.04379993 0.0237587 0.0237587 0.04379993 0.02583605 0.02320265 0.04379993 0.02735537 0.02472198 0.04379993 0 0.03789997 0.04379993 0.01650089 0.02857798 0.04379993 0 0.03299999 0.04379993 0 0.03359997 0.04379993 0.02472198 0.02735537 0.04379993 0.001861989 0.03467559 0.04379993 0.001861989 0.03682422 0.04379993 -0.001861989 0.03467559 0.04379993 -0.001861989 0.03682422 0.04379993 -0.02679932 0.02679932 0.04379993 -0.01650089 0.02857798 0.04379993 -0.02472198 0.02735537 0.04379993 -0.02857798 0.01650089 0.04379993 -0.02583605 0.02320265 0.04379993 -0.02735537 0.02472198 0.04379993 -0.03299999 0 0.04749995 -0.02857846 -0.01649969 0.04749995 -0.0237587 0.0237587 0.04379993 -0.02857846 0.01649969 0.04749995 -0.01649999 0.02857875 0.04749995 -0.02320265 0.02583605 0.04379993 0 0.03299957 0.04749995 0.01649999 0.02857875 0.04749995 0.02320265 0.02583605 0.04379993 0.03359997 0 0.04379993 0.03299999 0 0.04379993 0.02857846 0.01649969 0.04749995 0.03467559 0.001861989 0.04379993 0.03299999 0 0.04749995 0.02857846 -0.01649969 0.04749995 0.01649999 -0.02857875 0.04749995 0 -0.03299957 0.04749995 -0.01649999 -0.02857875 0.04749995 -0.02320265 -0.02472198 0.04379993 -0.0237587 -0.02679932 0.04379993 -0.002149999 -0.03574997 0.05546993 -0.00107491 -0.0376119 0.05546993 -0.00107491 -0.03388804 0.05546993 0.00107491 -0.03388804 0.05546993 0.002149999 -0.03574997 0.05546993 0.00107491 -0.0376119 0.05546993 -0.02679932 -0.0237587 0.05546993 -0.02735579 -0.02583551 0.05546993 -0.02472257 -0.0232023 0.05546993 -0.0232023 -0.02472257 0.05546993 -0.0237587 -0.02679932 0.05546993 -0.02583551 -0.02735579 0.05546993 -0.0370875 -0.01657921 0.05779999 -0.03999412 -0.007129669 0.05779999 -0.03198349 -0.02504873 0.05779999 -0.02960604 -0.02643913 0.05779999 -0.02844685 -0.02211111 0.05779999 -0.02498102 -0.03203624 0.05779999 -0.01650214 -0.03712189 0.05779999 -0.02211111 -0.02844685 0.05779999 -0.02643913 -0.02960604 0.05779999 -0.007045984 -0.04000914 0.05779999 -0.02095204 -0.0241189 0.05779999 0.002832889 -0.04052603 0.05779999 -0.002239346 -0.03962981 0.05779999 -0.004479885 -0.03574997 0.05779999 0.01254004 -0.03864067 0.05779999 0.004479885 -0.03574997 0.05779999 0.002239346 -0.03962981 0.05779999 -0.004043102 -0.0297262 0.05779999 0.002239346 -0.03187 0.05779999 -0.01500082 -0.02597999 0.04749995 -0.002239346 -0.03187 0.05779999 -0.0241189 -0.02095204 0.05779999 -0.01450067 0.02511411 -0.05849999 -0.00186187 0.02332496 -0.05849999 0 0.02439999 -0.05849999 0 0.02439999 -0.06016999 0 0.02899998 -0.05849999 0.00186187 0.02332496 -0.05849999 0.00186187 0.02332496 -0.06016999 -0.00186187 0.0211749 -0.05849999 -0.00186187 0.02332496 -0.06016999 -0.006180763 0.01902073 -0.05849999 0 0.02009993 -0.05849999 -0.00186187 0.0211749 -0.06016999 0.006180763 0.01902073 -0.05849999 0.00186187 0.0211749 -0.05849999 0 0.02009993 -0.06016999 0.00186187 0.0211749 -0.06016999 0.01450067 0.02511411 -0.05849999 0.02332496 0.00186187 -0.05849999 0.02439999 0 -0.05849999 0.02439999 0 -0.06016999 0.02511495 -0.01449912 -0.05849999 0.02332496 -0.00186187 -0.05849999 0.02332496 -0.00186187 -0.06016999 0.02511495 0.01449912 -0.05849999 0.0211749 0.00186187 -0.05849999 0.02332496 0.00186187 -0.06016999 0.02009993 0 -0.05849999 0.0211749 0.00186187 -0.06016999 0.0211749 -0.00186187 -0.05849999 0.02009993 0 -0.06016999 0.01999998 0 -0.05849999 0.0211749 -0.00186187 -0.06016999 0.01450067 -0.02511411 -0.05849999 0.00186187 -0.02332496 -0.05849999 0 -0.02439999 -0.05849999 0 -0.02439999 -0.06016999 0 -0.02899998 -0.05849999 -0.00186187 -0.02332496 -0.05849999 -0.00186187 -0.02332496 -0.06016999 0.00186187 -0.0211749 -0.05849999 0.00186187 -0.02332496 -0.06016999 0.006180763 -0.01902073 -0.05849999 0 -0.02009993 -0.05849999 0.00186187 -0.0211749 -0.06016999 -0.006180763 -0.01902073 -0.05849999 -0.00186187 -0.0211749 -0.05849999 0 -0.02009993 -0.06016999 -0.00186187 -0.0211749 -0.06016999 -0.01450067 -0.02511411 -0.05849999 -0.02332496 -0.00186187 -0.05849999 -0.02439999 0 -0.05849999 -0.02439999 0 -0.06016999 -0.02511495 0.01449912 -0.05849999 -0.02332496 0.00186187 -0.05849999 -0.02332496 0.00186187 -0.06016999 -0.02511495 -0.01449912 -0.05849999 -0.0211749 -0.00186187 -0.05849999 -0.02332496 -0.00186187 -0.06016999 -0.02009993 0 -0.05849999 -0.0211749 -0.00186187 -0.06016999 -0.0211749 0.00186187 -0.05849999 -0.02009993 0 -0.06016999 -0.01999998 0 -0.05849999 -0.0211749 0.00186187 -0.06016999 0 -0.02999997 -0.05949991 0.01499974 -0.02598083 -0.05949991 -0.01499974 -0.02598083 -0.05949991 -0.01618093 -0.01175469 -0.05849999 -0.02899974 0 -0.05849999 -0.02598071 -0.01499998 -0.05949991 -0.02999997 0 -0.05949991 -0.01618093 0.01175469 -0.05849999 -0.02598071 0.01499998 -0.05949991 -0.01499974 0.02598083 -0.05949991 0 0.02999997 -0.05949991 0.01499974 0.02598083 -0.05949991 0.01618093 0.01175469 -0.05849999 0.02899974 0 -0.05849999 0.02598071 0.01499998 -0.05949991 0.02999997 0 -0.05949991 0.01618093 -0.01175469 -0.05849999 0.02598071 -0.01499998 -0.05949991 0.01899999 0 -0.05949991 0.01537132 -0.01116782 -0.05949991 0.01537132 0.01116782 -0.05949991 0.005871355 0.01807004 -0.05949991 -0.005871236 0.01807004 -0.05949991 -0.01537132 0.01116782 -0.05949991 -0.01899999 0 -0.05949991 -0.01537132 -0.01116782 -0.05949991 -0.005871355 -0.01807004 -0.05949991 0.005871236 -0.01807004 -0.05949991 0 0.01776999 -0.0625 -0.003879785 0.02000999 -0.0625 0.003879785 0.02000999 -0.0625 0.003879785 0.02448993 -0.0625 0 0.02673 -0.0625 0.01450067 0.02511411 -0.0625 -0.003879785 0.02448993 -0.0625 0 0.02899998 -0.0625 0.00540775 0.01664346 -0.0625 -0.00540775 0.01664346 -0.0625 -0.01450067 0.02511411 -0.0625 -0.01415777 0.01028621 -0.0625 0.01776999 0 -0.0625 0.02000999 0.003879785 -0.0625 0.02000999 -0.003879785 -0.0625 0.02448993 -0.003879785 -0.0625 0.02673 0 -0.0625 0.02511495 -0.01449912 -0.0625 0.02448993 0.003879785 -0.0625 0.02511495 0.01449912 -0.0625 0.02899974 0 -0.0625 0.01450067 -0.02511411 -0.0625 0.01749998 0 -0.0625 0 -0.01776999 -0.0625 0.003879785 -0.02000999 -0.0625 -0.003879785 -0.02000999 -0.0625 -0.003879785 -0.02448993 -0.0625 0 -0.02673 -0.0625 -0.01450067 -0.02511411 -0.0625 0.003879785 -0.02448993 -0.0625 0 -0.02899998 -0.0625 -0.00540775 -0.01664346 -0.0625 0.00540775 -0.01664346 -0.0625 0.01415777 -0.01028621 -0.0625 -0.01776999 0 -0.0625 -0.02000999 -0.003879785 -0.0625 -0.02000999 0.003879785 -0.0625 -0.02448993 0.003879785 -0.0625 -0.02673 0 -0.0625 -0.02511495 0.01449912 -0.0625 -0.02448993 -0.003879785 -0.0625 -0.02511495 -0.01449912 -0.0625 -0.02899974 0 -0.0625 -0.01749998 0 -0.0625 0.01537132 -0.01116788 -0.06099992 0.01899999 0 -0.06099992 0.005871236 -0.01807004 -0.06099992 -0.005871236 -0.01807004 -0.06099992 -0.01537132 -0.01116788 -0.06099992 -0.01899999 0 -0.06099992 -0.01537132 0.01116788 -0.06099992 0.01537132 0.01116788 -0.06099992 -0.005871236 0.01807004 -0.06099992 0.005871236 0.01807004 -0.06099992 -0.01499974 0.02598083 -0.06149995 0 0.02999997 -0.06149995 -0.02598071 0.01499998 -0.06149995 -0.02999997 0 -0.06149995 -0.02598071 -0.01499998 -0.06149995 -0.01499974 -0.02598083 -0.06149995 0 -0.02999997 -0.06149995 0.01499974 -0.02598083 -0.06149995 0.01499974 0.02598083 -0.06149995 0.02598071 -0.01499998 -0.06149995 0.02999997 0 -0.06149995 0.02598071 0.01499998 -0.06149995 0.01415777 0.01028621 -0.0625 -0.01415777 -0.01028621 -0.0625 -0.01749998 0 -0.06224989 -0.01415687 -0.0102871 -0.06224989 -0.01415687 0.0102871 -0.06224989 -0.005407035 0.0166434 -0.06224989 0.005407035 0.0166434 -0.06224989 0.01415687 0.0102871 -0.06224989 0.01749998 0 -0.06224989 0.01415687 -0.0102871 -0.06224989 0.005407035 -0.0166434 -0.06224989 -0.005407035 -0.0166434 -0.06224989 0.0152437 -0.006314158 -0.0625 0.0152437 0.006314158 -0.0625 0.01649999 0 -0.0625 0.01649999 0 -0.06224989 0.01524394 -0.006313443 -0.06224989 0.01166725 -0.01166725 -0.0625 0.01166725 0.01166725 -0.0625 0.01524394 0.006313443 -0.06224989 0.006314158 -0.0152437 -0.0625 0.006314158 0.0152437 -0.0625 0.01166623 0.0116679 -0.06224989 0 -0.01649999 -0.0625 0 0.01649999 -0.0625 0.006315112 0.01524353 -0.06224989 -0.006314158 -0.0152437 -0.0625 -0.006314158 0.0152437 -0.0625 0 0.01649963 -0.06224989 -0.01166725 -0.01166725 -0.0625 -0.01166725 0.01166725 -0.0625 -0.006315112 0.01524353 -0.06224989 -0.0152437 -0.006314158 -0.0625 -0.0152437 0.006314158 -0.0625 -0.01166623 0.0116679 -0.06224989 -0.01649999 0 -0.0625 -0.01524394 0.006313443 -0.06224989 -0.01649999 0 -0.06224989 -0.01524394 -0.006313443 -0.06224989 -0.01166623 -0.0116679 -0.06224989 -0.006315112 -0.01524353 -0.06224989 0 -0.01649963 -0.06224989 0.006315112 -0.01524353 -0.06224989 0.01166623 -0.0116679 -0.06224989 -0.01450067 -0.02511411 0.0575 -0.00186187 -0.02332496 0.0575 0 -0.02439999 0.0575 0 -0.02439999 0.05916988 0 -0.02899998 0.0575 0.00186187 -0.02332496 0.0575 0.00186187 -0.02332496 0.05916988 -0.00186187 -0.0211749 0.0575 -0.00186187 -0.02332496 0.05916988 -0.006180763 -0.01902073 0.0575 0 -0.02009993 0.0575 -0.00186187 -0.0211749 0.05916988 0.006180763 -0.01902073 0.0575 0.00186187 -0.0211749 0.0575 0 -0.02009993 0.05916988 0.00186187 -0.0211749 0.05916988 0.01450067 -0.02511411 0.0575 0.02332496 -0.00186187 0.0575 0.02439999 0 0.0575 0.02439999 0 0.05916988 0.02511495 0.01449912 0.0575 0.02332496 0.00186187 0.0575 0.02332496 0.00186187 0.05916988 0.02511495 -0.01449912 0.0575 0.0211749 -0.00186187 0.0575 0.02332496 -0.00186187 0.05916988 0.02009993 0 0.0575 0.0211749 -0.00186187 0.05916988 0.0211749 0.00186187 0.0575 0.02009993 0 0.05916988 0.01999998 0 0.0575 0.0211749 0.00186187 0.05916988 0.01450067 0.02511411 0.0575 0.00186187 0.02332496 0.0575 0 0.02439999 0.0575 0 0.02439999 0.05916988 0 0.02899998 0.0575 -0.00186187 0.02332496 0.0575 -0.00186187 0.02332496 0.05916988 0.00186187 0.0211749 0.0575 0.00186187 0.02332496 0.05916988 0.006180763 0.01902073 0.0575 0 0.02009993 0.0575 0.00186187 0.0211749 0.05916988 -0.006180763 0.01902073 0.0575 -0.00186187 0.0211749 0.0575 0 0.02009993 0.05916988 -0.00186187 0.0211749 0.05916988 -0.01450067 0.02511411 0.0575 -0.02332496 0.00186187 0.0575 -0.02439999 0 0.0575 -0.02439999 0 0.05916988 -0.02511495 -0.01449912 0.0575 -0.02332496 -0.00186187 0.0575 -0.02332496 -0.00186187 0.05916988 -0.02511495 0.01449912 0.0575 -0.0211749 0.00186187 0.0575 -0.02332496 0.00186187 0.05916988 -0.02009993 0 0.0575 -0.0211749 0.00186187 0.05916988 -0.0211749 -0.00186187 0.0575 -0.02009993 0 0.05916988 -0.01999998 0 0.0575 -0.0211749 -0.00186187 0.05916988 0 0.02999997 0.05849999 0.01499974 0.02598083 0.05849999 -0.01499974 0.02598083 0.05849999 -0.01618093 0.01175469 0.0575 -0.02899974 0 0.0575 -0.02598071 0.01499998 0.05849999 -0.02999997 0 0.05849999 -0.01618093 -0.01175469 0.0575 -0.02598071 -0.01499998 0.05849999 -0.01499974 -0.02598083 0.05849999 0 -0.02999997 0.05849999 0.01499974 -0.02598083 0.05849999 0.01618093 -0.01175469 0.0575 0.02899974 0 0.0575 0.02598071 -0.01499998 0.05849999 0.02999997 0 0.05849999 0.01618093 0.01175469 0.0575 0.02598071 0.01499998 0.05849999 0.01899999 0 0.05849999 0.01537132 0.01116782 0.05849999 0.01537132 -0.01116782 0.05849999 0.005871355 -0.01807004 0.05849999 -0.005871236 -0.01807004 0.05849999 -0.01537132 -0.01116782 0.05849999 -0.01899999 0 0.05849999 -0.01537132 0.01116782 0.05849999 -0.005871355 0.01807004 0.05849999 0.005871236 0.01807004 0.05849999 0 -0.01776999 0.06149995 -0.003879785 -0.02000999 0.06149995 0.003879785 -0.02000999 0.06149995 0.003879785 -0.02448993 0.06149995 0 -0.02673 0.06149995 0.01450067 -0.02511411 0.06149995 -0.003879785 -0.02448993 0.06149995 0 -0.02899998 0.06149995 0.00540775 -0.01664346 0.06149995 -0.00540775 -0.01664346 0.06149995 -0.01450067 -0.02511411 0.06149995 -0.01415777 -0.01028621 0.06149995 0.01776999 0 0.06149995 0.02000999 -0.003879785 0.06149995 0.02000999 0.003879785 0.06149995 0.02448993 0.003879785 0.06149995 0.02673 0 0.06149995 0.02511495 0.01449912 0.06149995 0.02448993 -0.003879785 0.06149995 0.02511495 -0.01449912 0.06149995 0.02899974 0 0.06149995 0.01450067 0.02511411 0.06149995 0.01749998 0 0.06149995 0 0.01776999 0.06149995 0.003879785 0.02000999 0.06149995 -0.003879785 0.02000999 0.06149995 -0.003879785 0.02448993 0.06149995 0 0.02673 0.06149995 -0.01450067 0.02511411 0.06149995 0.003879785 0.02448993 0.06149995 0 0.02899998 0.06149995 -0.00540775 0.01664346 0.06149995 0.00540775 0.01664346 0.06149995 0.01415777 0.01028621 0.06149995 -0.01776999 0 0.06149995 -0.02000999 0.003879785 0.06149995 -0.02000999 -0.003879785 0.06149995 -0.02448993 -0.003879785 0.06149995 -0.02673 0 0.06149995 -0.02511495 -0.01449912 0.06149995 -0.02448993 0.003879785 0.06149995 -0.02511495 0.01449912 0.06149995 -0.02899974 0 0.06149995 -0.01749998 0 0.06149995 0.01537132 0.01116788 0.06 0.01899999 0 0.06 0.005871236 0.01807004 0.06 -0.005871236 0.01807004 0.06 -0.01537132 0.01116788 0.06 -0.01899999 0 0.06 -0.01537132 -0.01116788 0.06 0.01537132 -0.01116788 0.06 -0.005871236 -0.01807004 0.06 0.005871236 -0.01807004 0.06 -0.01499974 -0.02598083 0.0604999 0 -0.02999997 0.0604999 -0.02598071 -0.01499998 0.0604999 -0.02999997 0 0.0604999 -0.02598071 0.01499998 0.0604999 -0.01499974 0.02598083 0.0604999 0 0.02999997 0.0604999 0.01499974 0.02598083 0.0604999 0.01499974 -0.02598083 0.0604999 0.02598071 0.01499998 0.0604999 0.02999997 0 0.0604999 0.02598071 -0.01499998 0.0604999 0.01415777 -0.01028621 0.06149995 -0.01415777 0.01028621 0.06149995 -0.01749998 0 0.06124997 -0.01415687 0.0102871 0.06124997 -0.01415687 -0.0102871 0.06124997 -0.005407035 -0.0166434 0.06124997 0.005407035 -0.0166434 0.06124997 0.01415687 -0.0102871 0.06124997 0.01749998 0 0.06124997 0.01415687 0.0102871 0.06124997 0.005407035 0.0166434 0.06124997 -0.005407035 0.0166434 0.06124997 0.0152437 0.006314158 0.06149995 0.0152437 -0.006314158 0.06149995 0.01649999 0 0.06149995 0.01649999 0 0.06124997 0.01524394 0.006313443 0.06124997 0.01166725 0.01166725 0.06149995 0.01166725 -0.01166725 0.06149995 0.01524394 -0.006313443 0.06124997 0.006314158 0.0152437 0.06149995 0.006314158 -0.0152437 0.06149995 0.01166623 -0.0116679 0.06124997 0 0.01649999 0.06149995 0 -0.01649999 0.06149995 0.006315112 -0.01524353 0.06124997 -0.006314158 0.0152437 0.06149995 -0.006314158 -0.0152437 0.06149995 0 -0.01649963 0.06124997 -0.01166725 0.01166725 0.06149995 -0.01166725 -0.01166725 0.06149995 -0.006315112 -0.01524353 0.06124997 -0.0152437 0.006314158 0.06149995 -0.0152437 -0.006314158 0.06149995 -0.01166623 -0.0116679 0.06124997 -0.01649999 0 0.06149995 -0.01524394 -0.006313443 0.06124997 -0.01649999 0 0.06124997 -0.01524394 0.006313443 0.06124997 -0.01166623 0.0116679 0.06124997 -0.006315112 0.01524353 0.06124997 0 0.01649963 0.06124997 0.006315112 0.01524353 0.06124997 0.01166623 0.0116679 0.06124997 -0.257 0.006436705 -0.02675426 -0.257 0.007411599 -0.03039252 -0.257 0.02198094 -0.02198094 -0.2571464 0.02223092 -0.02223092 -0.257 0.01931744 -0.01931744 -0.257 0.03039252 -0.007411599 -0.2575 0.0308755 -0.007540941 -0.257 -5.05025e-4 -0.03099495 -0.257 -9.99987e-4 -0.03149998 -0.2575 0.007540941 -0.0308755 -0.257 -0.008436679 -0.02675426 -0.257 -5.05196e-4 -0.03000509 -0.2575 0.02233451 -0.02233451 -0.257 -0.009411573 -0.03039252 -0.257 -0.001494765 -0.03099477 -0.257 -0.02131748 -0.01931744 -0.257 -0.02398097 -0.02198094 -0.2575 -0.009540975 -0.0308755 -0.257 -0.03239256 -0.007411599 -0.2575 -0.02433449 -0.02233451 -0.257 -0.02875423 -0.006436705 -0.257 -0.03349989 9.99987e-4 -0.2575 -0.03287547 -0.007540941 -0.257 -0.03299486 0.001494944 -0.257 -0.03239256 0.009411573 -0.257 -0.03299474 5.05196e-4 -0.257 -0.02131754 0.02131754 -0.257 -0.02398097 0.02398097 -0.2575 -0.03287547 0.009540975 -0.257 -0.02875423 0.008436679 -0.257 -0.03200519 0.001494765 -0.257 -0.008436679 0.02875423 -0.257 -0.009411573 0.03239256 -0.2571464 -0.02423089 0.02423089 -0.257 -0.001494944 0.03299486 -0.257 -9.99987e-4 0.03349989 -0.2575 -0.009540975 0.03287547 -0.257 0.006436705 0.02875423 -0.257 -0.001494765 0.03200519 -0.2575 -0.02433449 0.02433449 -0.257 0.007411599 0.03239256 -0.257 -5.05196e-4 0.03299474 -0.257 0.01931744 0.02131748 -0.257 0.02198094 0.02398097 -0.2575 0.007540941 0.03287547 -0.257 0.03039252 0.009411573 -0.2575 0.02233451 0.02433449 -0.257 0.02675426 0.008436679 -0.257 0.03149998 9.99987e-4 -0.2575 0.0308755 0.009540975 -0.257 0.03099495 5.05025e-4 -0.257 0.03099477 0.001494765 -0.257 0.02675426 -0.006436705 -0.257 0.03000509 5.05196e-4 -0.2574 0.01931744 -0.01931744 -0.2574 0.006436705 -0.02675426 -0.257 0.03000491 0.001494944 -0.2574 0.02675426 -0.006436705 -0.2574 0.02675426 0.008436679 -0.2574 0.01931744 0.02131748 -0.2574 0.006436705 0.02875423 -0.257 -5.05025e-4 0.03200501 -0.2574 -0.008436679 0.02875423 -0.2574 -0.02131754 0.02131754 -0.257 -0.03200501 5.05025e-4 -0.2574 -0.02875423 0.008436679 -0.2574 -0.02875423 -0.006436705 -0.2574 -0.02131748 -0.01931744 -0.2574 -0.008436679 -0.02675426 -0.257 -0.001494944 -0.03000491 -0.2577 -0.001494944 -0.03000491 -0.2577 -5.05025e-4 -0.03000491 -0.2577 -0.001494944 -0.03099495 -0.2577 -5.05025e-4 -0.03099495 -0.2577 -0.03299486 0.001494944 -0.2577 -0.03200501 0.001494944 -0.2577 -0.03299486 5.05025e-4 -0.2577 -0.03200501 5.05025e-4 -0.2577 -0.001494944 0.03299486 -0.2577 -5.05025e-4 0.03299486 -0.2577 -0.001494944 0.03200501 -0.2577 -5.05025e-4 0.03200501 -0.2577 0.03000491 0.001494944 -0.2577 0.03099495 0.001494944 -0.2577 0.03000491 5.05025e-4 -0.2577 0.03099495 5.05025e-4 -0.2574 0.01915252 -0.01915252 -0.2574 0.006376326 -0.02652883 -0.2574 0.02652883 0.0083763 -0.2574 0.02652883 -0.006376326 -0.2574 0.01915252 0.02115249 -0.2574 0.006376326 0.0285288 -0.2574 -0.0083763 0.0285288 -0.2574 -0.02115249 0.02115249 -0.2574 -0.0083763 -0.02652883 -0.2574 -0.02115249 -0.01915252 -0.2574 -0.0285288 -0.006376326 -0.2574 -0.0285288 0.0083763 -0.257 0.01915252 -0.01915252 -0.257 0.006376326 -0.02652883 -0.257 0.02652883 -0.006376326 -0.257 0.02652883 0.0083763 -0.257 0.01915252 0.02115249 -0.257 0.006376326 0.0285288 -0.257 -0.0083763 0.0285288 -0.257 -0.02115249 0.02115249 -0.257 -0.0285288 0.0083763 -0.257 -0.0285288 -0.006376326 -0.257 -0.02115249 -0.01915252 -0.257 -0.0083763 -0.02652883 -0.257 0.01703119 -0.01703119 -0.257 0.002988994 -0.02418601 -0.257 0.02418601 -0.002988994 -0.257 0.01057654 0.02372068 -0.257 0.02172064 0.01257658 -0.257 -0.004988968 0.02618598 -0.257 -0.01903116 0.01903116 -0.257 -0.01257658 -0.02172064 -0.257 -0.02618598 0.004988968 -0.257 -0.02372068 -0.01057654 -0.2571464 0.01678121 -0.01678121 -0.2575 0.002910852 -0.02369219 -0.2575 0.02369219 -0.002910852 -0.2575 0.01667755 -0.01667755 -0.2575 0.02127516 0.01234972 -0.2575 0.01034975 0.02327507 -0.2575 -0.004910826 0.02569216 -0.2571464 -0.01878118 0.01878118 -0.2575 -0.02569216 0.004910826 -0.2575 -0.01867765 0.01867765 -0.2575 -0.02327507 -0.01034975 -0.2575 -0.01234972 -0.02127516 -0.2645 0.01667755 -0.01667755 -0.2645 0.002910852 -0.02369219 -0.2645 0.02369219 -0.002910852 -0.2645 0.02127516 0.01234972 -0.2645 0.01034975 0.02327507 -0.2645 -0.004910826 0.02569216 -0.2645 -0.01867765 0.01867765 -0.2648535 0.01678121 -0.01678121 -0.265 0.002988994 -0.02418601 -0.265 0.02418601 -0.002988994 -0.265 0.01703119 -0.01703119 -0.265 0.02172064 0.01257658 -0.265 0.01057654 0.02372068 -0.265 -0.004988968 0.02618598 -0.2648535 -0.01878118 0.01878118 -0.2645 -0.02569216 0.004910826 -0.265 0.01915252 -0.01915252 -0.265 0.006376326 -0.02652883 -0.265 0.02652883 -0.006376326 -0.265 0.006376326 0.0285288 -0.265 0.02652883 0.0083763 -0.265 -0.01903116 0.01903116 -0.265 -0.0083763 0.0285288 -0.265 -0.02115249 0.02115249 -0.265 -0.02618598 0.004988968 -0.265 -0.0083763 -0.02652883 -0.265 -0.01257658 -0.02172064 -0.265 -0.02372068 -0.01057654 -0.2645 -0.01234972 -0.02127516 -0.265 -0.0285288 0.0083763 -0.2645 -0.02327507 -0.01034975 -0.265 -0.0285288 -0.006376326 -0.2646 0.01915252 -0.01915252 -0.2646 0.006376326 -0.02652883 -0.2646 0.02652883 -0.006376326 -0.265 0.01915252 0.02115249 -0.2646 0.02652883 0.0083763 -0.2646 0.01915252 0.02115249 -0.2646 0.006376326 0.0285288 -0.2646 -0.0083763 0.0285288 -0.2646 -0.02115249 0.02115249 -0.2646 -0.0285288 0.0083763 -0.265 -0.02115249 -0.01915252 -0.2646 -0.0285288 -0.006376326 -0.2646 -0.02115249 -0.01915252 -0.2646 -0.0083763 -0.02652883 -0.2646 0.01931744 -0.01931744 -0.2646 0.006436705 -0.02675426 -0.2646 0.02675426 -0.006436705 -0.2646 0.02675426 0.008436679 -0.2646 0.006436705 0.02875423 -0.2646 0.01931744 0.02131748 -0.2646 -0.008436679 0.02875423 -0.2646 -0.02131754 0.02131754 -0.2646 -0.008436679 -0.02675426 -0.2646 -0.02875423 -0.006436705 -0.2646 -0.02131748 -0.01931744 -0.2646 -0.02875423 0.008436679 -0.265 0.01931744 -0.01931744 -0.265 0.006436705 -0.02675426 -0.265 0.02675426 -0.006436705 -0.265 0.02675426 0.008436679 -0.265 0.01931744 0.02131748 -0.265 0.006436705 0.02875423 -0.265 -0.008436679 0.02875423 -0.265 -0.02131754 0.02131754 -0.265 -0.02875423 0.008436679 -0.265 -0.02875423 -0.006436705 -0.265 -0.02131748 -0.01931744 -0.265 -0.008436679 -0.02675426 -0.265 0.02198094 -0.02198094 -0.265 0.007411599 -0.03039252 -0.265 0.03039252 -0.007411599 -0.265 0.03039252 0.009411573 -0.265 0.03000509 5.05196e-4 -0.265 0.03149998 9.99987e-4 -0.265 0.03099477 0.001494765 -0.265 0.03000491 0.001494944 -0.265 0.007411599 0.03239256 -0.265 0.02198094 0.02398097 -0.265 -5.05025e-4 0.03200501 -0.265 -9.99987e-4 0.03349989 -0.265 -5.05196e-4 0.03299474 -0.265 -0.009411573 0.03239256 -0.265 -0.001494765 0.03200519 -0.265 -0.02398097 0.02398097 -0.265 -0.001494944 -0.03000491 -0.265 -5.05196e-4 -0.03000509 -0.265 -0.009411573 -0.03039252 -0.265 -9.99987e-4 -0.03149998 -0.265 -0.001494765 -0.03099477 -0.265 -0.03239256 -0.007411599 -0.265 -0.02398097 -0.02198094 -0.265 -0.03239256 0.009411573 -0.265 -0.03200519 0.001494765 -0.265 -0.03349989 9.99987e-4 -0.265 -0.03299474 5.05196e-4 -0.265 -0.03200501 5.05025e-4 -0.2648535 0.02223092 -0.02223092 -0.2645 0.007540941 -0.0308755 -0.265 0.03099495 5.05025e-4 -0.2645 0.0308755 -0.007540941 -0.2645 0.02233451 -0.02233451 -0.2645 0.0308755 0.009540975 -0.2645 0.02233451 0.02433449 -0.2645 0.007540941 0.03287547 -0.265 -0.001494944 0.03299486 -0.2645 -0.009540975 0.03287547 -0.2648535 -0.02423089 0.02423089 -0.265 -0.03299486 0.001494944 -0.2645 -0.03287547 0.009540975 -0.2645 -0.02433449 0.02433449 -0.2645 -0.03287547 -0.007540941 -0.2645 -0.02433449 -0.02233451 -0.2645 -0.009540975 -0.0308755 -0.265 -5.05025e-4 -0.03099495 -0.2643 -0.001494944 -0.03000491 -0.2643 -0.001494944 -0.03099495 -0.2643 -5.05025e-4 -0.03000491 -0.2643 -5.05025e-4 -0.03099495 -0.2643 -0.03299486 0.001494944 -0.2643 -0.03299486 5.05025e-4 -0.2643 -0.03200501 0.001494944 -0.2643 -0.03200501 5.05025e-4 -0.2643 -0.001494944 0.03299486 -0.2643 -0.001494944 0.03200501 -0.2643 -5.05025e-4 0.03299486 -0.2643 -5.05025e-4 0.03200501 -0.2643 0.03000491 0.001494944 -0.2643 0.03000491 5.05025e-4 -0.2643 0.03099495 0.001494944 -0.2643 0.03099495 5.05025e-4 -0.2618 0.02233451 -0.02233451 -0.2618 0.007540941 -0.0308755 -0.2618 0.0308755 -0.007540941 -0.2618 0.0308755 0.009540975 -0.2618 0.02233451 0.02433449 -0.2618 0.007540941 0.03287547 -0.2618 -0.009540975 0.03287547 -0.2618 -0.02433449 0.02433449 -0.2614 0.02222138 -0.02222138 -0.2614 0.02186501 -0.02257221 -0.2614 0.02150344 -0.02291762 -0.261 0.03065109 -0.007135689 -0.2614 0.02257221 -0.02186501 -0.2614 0.02291762 -0.02150344 -0.2612 0.02286106 -0.02144688 -0.261 0.02280443 -0.02139025 -0.2614 0.02291762 0.02350348 -0.261 0.03065109 0.009135723 -0.261 0.02280443 0.02339029 -0.2612 0.02286106 0.02344679 -0.2614 0.02222138 0.02422136 -0.261 0.007135689 0.032651 -0.2614 0.02150344 0.02491772 -0.2612 0.02144688 0.02486103 -0.261 0.02139025 0.02480453 -0.2614 -0.02350348 0.02491772 -0.261 -0.009135723 0.032651 -0.261 -0.02339029 0.02480453 -0.2612 -0.02344679 0.02486103 -0.2614 -0.02386504 0.02457225 -0.2614 -0.02422136 0.02422136 -0.2618 -0.03287547 0.009540975 -0.2614 0.02021312 -0.0216273 -0.2606 0.0216273 -0.02021312 -0.2614 0.0216273 -0.02021312 -0.2602 0.0308755 -0.007540941 -0.2606 0.02291762 -0.02150344 -0.2608001 0.02286106 -0.02144688 -0.2602 0.0308755 0.009540975 -0.2614 0.0216273 0.02221316 -0.2608001 0.02286106 0.02344679 -0.2606 0.02021312 0.0236274 -0.2614 0.02021312 0.0236274 -0.2602 0.007540941 0.03287547 -0.2606 0.02150344 0.02491772 -0.2608001 0.02144688 0.02486103 -0.2602 -0.009540975 0.03287547 -0.2614 -0.02221316 0.0236274 -0.2608001 -0.02344679 0.02486103 -0.2614 -0.02457225 0.02386504 -0.2602 0.02233451 -0.02233451 -0.2606 0.02257221 -0.02186501 -0.2606 0.02222138 -0.02222138 -0.2602 0.007540941 -0.0308755 -0.2606 0.02186501 -0.02257221 -0.2606 0.02222138 0.02422136 -0.2602 0.02233451 0.02433449 -0.2606 0.02291762 0.02350348 -0.2606 -0.02422136 0.02422136 -0.2602 -0.02433449 0.02433449 -0.2606 -0.02386504 0.02457225 -0.2606 -0.02350348 0.02491772 -0.2606 -0.02457225 0.02386504 -0.2602 -0.03287547 0.009540975 -0.2606 -0.02491772 0.02350348 -0.2606 -0.0236274 0.02221316 -0.2606 -0.02221316 0.0236274 -0.2606 0.0216273 0.02221316 -0.2618 -0.03287547 -0.007540941 -0.2618 -0.02433449 -0.02233451 -0.2618 -0.009540975 -0.0308755 -0.261 -0.032651 0.009135723 -0.2614 -0.02491772 0.02350348 -0.2612 -0.02486103 0.02344679 -0.261 -0.02480453 0.02339029 -0.2614 -0.02491772 -0.02150344 -0.261 -0.032651 -0.007135689 -0.261 -0.02480453 -0.02139025 -0.2612 -0.02486103 -0.02144688 -0.2614 -0.02422136 -0.02222138 -0.261 -0.009135723 -0.03065109 -0.2614 -0.02350348 -0.02291762 -0.2612 -0.02344679 -0.02286106 -0.261 -0.02339029 -0.02280443 -0.2612 0.02144688 -0.02286106 -0.261 0.007135689 -0.03065109 -0.261 0.02139025 -0.02280443 -0.2608001 0.02144688 -0.02286106 -0.2614 -0.0236274 0.02221316 -0.2608001 -0.02486103 0.02344679 -0.2602 -0.03287547 -0.007540941 -0.2614 -0.0236274 -0.02021312 -0.2608001 -0.02486103 -0.02144688 -0.2606 -0.02221316 -0.0216273 -0.2614 -0.02221316 -0.0216273 -0.2602 -0.009540975 -0.0308755 -0.2608001 -0.02344679 -0.02286106 -0.2606 -0.02350348 -0.02291762 -0.2602 -0.02433449 -0.02233451 -0.2606 -0.02422136 -0.02222138 -0.2606 -0.02491772 -0.02150344 -0.2606 -0.0236274 -0.02021312 -0.2606 0.02150344 -0.02291762 -0.2606 0.02021312 -0.0216273 -0.238 -0.01324999 -0.04149997 -0.253 -0.05374991 -0.04149997 -0.253 -0.01324999 -0.04149997 -0.253 -0.01324999 -0.03399991 -0.238 -0.05374991 -0.04149997 -0.238 -0.05374991 -0.03399991 -0.253 -0.04724997 -0.03399991 -0.253 -0.05007767 -0.03282773 -0.253 -0.05124998 -0.02999997 -0.253 -0.05124998 -0.02399992 -0.253 -0.05374991 -0.02399992 -0.238 -0.05374991 -0.02399992 0.002449274 -0.03842192 -0.04149997 -0.03717494 -0.03992891 -0.04149997 -0.2331355 -0.02139103 -0.04149997 0 -0.03739988 -0.04149997 -0.06217426 -0.04152256 -0.04149997 -0.03882497 -0.03992891 -0.04149997 -0.06382423 -0.04152256 -0.04149997 -0.08717352 -0.04311621 -0.04149997 -0.08882349 -0.04311621 -0.04149997 -0.1121727 -0.0447098 -0.04149997 -0.1138228 -0.0447098 -0.04149997 -0.137172 -0.04630345 -0.04149997 -0.138822 -0.04630345 -0.04149997 -0.139647 -0.04487442 -0.04149997 -0.1460478 -0.04287815 -0.04149997 -0.1712965 -0.04448765 -0.04149997 -0.1581673 -0.04365062 -0.04149997 -0.1834161 -0.04526025 -0.04149997 -0.1965455 -0.04609715 -0.04149997 -0.1992033 -0.04530209 -0.04149997 -0.208665 -0.04686981 -0.04149997 -0.2238143 -0.04783546 -0.04149997 -0.226472 -0.0470404 -0.04149997 -0.2279742 -0.04470813 -0.04149997 0.01674795 -0.02901214 -0.04149997 0.01961249 -0.03312879 -0.04149997 0.002449274 -0.03842192 -0.03399991 0.001428902 -0.0365749 -0.04149997 0.02644574 -0.02644574 -0.04149997 0.03250449 -0.02063202 -0.04149997 0.01961249 -0.03312879 -0.03399991 0.02485191 -0.02687281 -0.04149997 0.02368527 -0.02570611 -0.04149997 0.02411234 -0.02411234 -0.04149997 0.03739988 0 -0.04149997 0.03832721 -0.003635466 -0.04149997 0.03250449 -0.02063202 -0.03399991 0.0365749 -0.001428902 -0.04149997 0.03492498 -0.001428902 -0.04149997 0.03409993 0 -0.04149997 0.03349989 0 -0.04149997 0.02687281 -0.02485191 -0.04149997 0.02901047 -0.01675176 -0.04149997 0.03580874 0.01413965 -0.04149997 0.03832721 -0.003635466 -0.03399991 0.02644574 0.02644574 -0.04149997 0.02549362 0.02884972 -0.04149997 0.03580874 0.01413965 -0.03399991 0.0365749 0.001428902 -0.04149997 0.03492498 0.001428902 -0.04149997 0.02687281 0.02485191 -0.04149997 0.02901047 0.01675176 -0.04149997 0.01674795 0.0290122 -0.04149997 0.009637415 0.03727316 -0.04149997 0.02549362 0.02884972 -0.03399991 0.02485191 0.02687281 -0.04149997 0.02368527 0.02570611 -0.04149997 0 0.03739988 -0.04149997 -0.008320629 0.03759002 -0.04149997 0.009637415 0.03727316 -0.03399991 0.001428902 0.0365749 -0.04149997 0.001428902 0.03492498 -0.04149997 0 0.03349906 -0.04149997 -0.1494616 0.005316734 -0.04149997 -0.008320629 0.03759002 -0.03399991 -0.02485191 0.02687281 -0.04149997 -0.02644574 0.02644574 -0.04149997 -0.03235274 0.02310365 -0.04149997 -0.02368527 0.02570611 -0.04149997 -0.01674795 0.02901214 -0.04149997 -0.001428902 0.0365749 -0.04149997 -0.05017495 0.0269289 -0.04149997 -0.04934996 0.02549993 -0.04149997 -0.0371111 0.02609622 -0.04149997 -0.05182492 0.0269289 -0.04149997 -0.07458412 0.0215258 -0.04149997 -0.07623416 0.0215258 -0.04149997 -0.1006433 0.01612281 -0.04149997 -0.1250525 0.01071977 -0.04149997 -0.03411602 0.02557539 -0.04149997 -0.2300945 -0.01662111 -0.04149997 -0.2326021 -0.0183767 -0.04149997 -0.2445 -0.01324999 -0.03399991 -0.1721107 0.001334667 -0.03799992 -0.2179999 -0.008822917 -0.03399991 -0.2179999 -0.008822917 -0.03799992 -0.238 -0.01324999 -0.03399991 0.03739988 0 -0.03399991 0.0365749 0.001428902 -0.03399991 0.0365749 -0.001428902 -0.03399991 0.03492498 -0.001428902 -0.03399991 0.03409993 0 -0.03399991 0.03492498 0.001428902 -0.03399991 0.02644574 -0.02644574 -0.03399991 0.02687281 -0.02485191 -0.03399991 0.02485191 -0.02687281 -0.03399991 0.02368527 -0.02570611 -0.03399991 0.02570611 -0.02368527 -0.04149997 0.02411234 -0.02411234 -0.03399991 0.02570611 -0.02368527 -0.03399991 -0.001428902 -0.0365749 -0.04149997 0 -0.03739988 -0.03399991 0.001428902 -0.0365749 -0.03399991 -0.001428902 -0.03492498 -0.04149997 -0.001428902 -0.0365749 -0.03399991 0 -0.03349906 -0.04149997 0 -0.03409993 -0.04149997 -0.001428902 -0.03492498 -0.03399991 -0.02566844 -0.03404623 -0.04149997 -0.01674795 -0.0290122 -0.04149997 0.001428902 -0.03492498 -0.04149997 0 -0.03409993 -0.03399991 0.001428902 -0.03492498 -0.03399991 -0.03588396 -0.01394778 -0.04149997 -0.02687281 -0.02485191 -0.04149997 -0.02644574 -0.02644574 -0.04149997 -0.02644574 -0.02644574 -0.03399991 -0.02595835 -0.02843248 -0.04149997 -0.02485191 -0.02687281 -0.04149997 -0.02485191 -0.02687281 -0.03399991 -0.02901047 -0.01675176 -0.04149997 -0.02570611 -0.02368527 -0.04149997 -0.02687281 -0.02485191 -0.03399991 -0.02411234 -0.02411234 -0.04149997 -0.02570611 -0.02368527 -0.03399991 -0.02368527 -0.02570611 -0.04149997 -0.02411234 -0.02411234 -0.03399991 -0.02466118 -0.03118181 -0.04149997 -0.02368527 -0.02570611 -0.03399991 -0.03283518 0.0201022 -0.04149997 -0.0365749 0.001428902 -0.04149997 -0.03739988 0 -0.04149997 -0.03739988 0 -0.03399991 -0.0365749 -0.001428902 -0.04149997 -0.0365749 -0.001428902 -0.03399991 -0.03834623 0.003430247 -0.04149997 -0.03492498 0.001428902 -0.04149997 -0.0365749 0.001428902 -0.03399991 -0.03409993 0 -0.04149997 -0.03492498 0.001428902 -0.03399991 -0.03492498 -0.001428902 -0.04149997 -0.03409993 0 -0.03399991 -0.03349989 0 -0.04149997 -0.03492498 -0.001428902 -0.03399991 -0.02644574 0.02644574 -0.03399991 -0.02687281 0.02485191 -0.04149997 -0.02687281 0.02485191 -0.03399991 -0.02485191 0.02687281 -0.03399991 -0.02411234 0.02411234 -0.04149997 -0.02368527 0.02570611 -0.03399991 -0.02901047 0.01675176 -0.04149997 -0.02570611 0.02368527 -0.04149997 -0.02411234 0.02411234 -0.03399991 -0.02570611 0.02368527 -0.03399991 0 0.03739988 -0.03399991 -0.001428902 0.0365749 -0.03399991 0.001428902 0.0365749 -0.03399991 0 0.03409993 -0.04149997 0.001428902 0.03492498 -0.03399991 -0.001428902 0.03492498 -0.04149997 0 0.03409993 -0.03399991 -0.001428902 0.03492498 -0.03399991 0.02644574 0.02644574 -0.03399991 0.02485191 0.02687281 -0.03399991 0.02570611 0.02368527 -0.04149997 0.02687281 0.02485191 -0.03399991 0.02411234 0.02411234 -0.04149997 0.02570611 0.02368527 -0.03399991 0.02411234 0.02411234 -0.03399991 0.02368527 0.02570611 -0.03399991 -0.2011392 -0.02250224 -0.04149997 -0.1821409 -0.004930734 -0.04149997 -0.1832159 -0.006792664 -0.04149997 -0.1832159 -0.006792664 -0.03799992 -0.1836764 -0.02273356 -0.04149997 -0.1821409 -0.008654654 -0.04149997 -0.1821409 -0.008654654 -0.03799992 -0.1884464 -0.01969259 -0.04149997 -0.1854321 -0.020226 -0.04149997 -0.1799908 -0.004930734 -0.04149997 -0.1821409 -0.004930734 -0.03799992 -0.2043014 -0.01241183 -0.04149997 -0.2053764 -0.0105499 -0.04149997 -0.2036468 -0.02425783 -0.04149997 -0.1789159 -0.006792664 -0.04149997 -0.1799908 -0.004930734 -0.03799992 -0.179771 -0.02186918 -0.04149997 -0.1799908 -0.008654654 -0.04149997 -0.1789159 -0.006792664 -0.03799992 -0.17673 -0.0170992 -0.04149997 -0.1792376 -0.01885485 -0.04149997 -0.1799908 -0.008654654 -0.03799992 -0.2180945 -0.02475529 -0.04149997 -0.2075264 -0.0105499 -0.04149997 -0.2086014 -0.01241183 -0.04149997 -0.2086014 -0.01241183 -0.03799992 -0.2080855 -0.02813667 -0.04149997 -0.2075264 -0.01427382 -0.04149997 -0.2075264 -0.01427382 -0.03799992 -0.2143259 -0.02542114 -0.04149997 -0.2128555 -0.0250957 -0.04149997 -0.2098413 -0.02562904 -0.04149997 -0.2075264 -0.0105499 -0.03799992 -0.2257065 -0.01564979 -0.04149997 -0.2226921 -0.01618319 -0.04149997 -0.2209365 -0.018691 -0.04149997 -0.2202883 -0.02161961 -0.04149997 -0.2053764 -0.0105499 -0.03799992 -0.2050139 -0.04201334 -0.04149997 -0.2053764 -0.01427382 -0.04149997 -0.2043014 -0.01241183 -0.03799992 -0.2041801 -0.02727216 -0.04149997 -0.2053764 -0.01427382 -0.03799992 -0.05017495 0.02407097 -0.04149997 -0.04934996 0.02549993 -0.03399991 -0.05017495 0.0269289 -0.03399991 -0.05727756 0.02163231 -0.04149997 -0.05182492 0.02407097 -0.04149997 -0.05017495 0.02407097 -0.03399991 -0.05264997 0.02549993 -0.04149997 -0.05182492 0.02407097 -0.03399991 -0.05264997 0.02549993 -0.03399991 -0.05182492 0.0269289 -0.03399991 -0.07375913 0.02009689 -0.04149997 -0.06899404 0.01903885 -0.04149997 -0.05978518 0.01987659 -0.04149997 -0.06422406 0.01599782 -0.04149997 -0.06597971 0.01850551 -0.04149997 -0.07458412 0.01866799 -0.04149997 -0.07375913 0.02009689 -0.03399991 -0.07458412 0.0215258 -0.03399991 -0.08168679 0.01622927 -0.04149997 -0.07623416 0.01866799 -0.04149997 -0.07458412 0.01866799 -0.03399991 -0.07705914 0.02009689 -0.04149997 -0.07623416 0.01866799 -0.03399991 -0.07705914 0.02009689 -0.03399991 -0.07623416 0.0215258 -0.03399991 -0.0989933 0.01612281 -0.04149997 -0.09816831 0.01469385 -0.04149997 -0.09340322 0.01363581 -0.04149997 -0.09038889 0.01310247 -0.04149997 -0.08863323 0.01059484 -0.04149997 -0.08419442 0.01447355 -0.04149997 -0.0989933 0.01326495 -0.04149997 -0.09816831 0.01469385 -0.03399991 -0.0989933 0.01612281 -0.03399991 -0.106096 0.01082623 -0.04149997 -0.1006433 0.01326495 -0.04149997 -0.0989933 0.01326495 -0.03399991 -0.1014683 0.01469385 -0.04149997 -0.1006433 0.01326495 -0.03399991 -0.1014683 0.01469385 -0.03399991 -0.1006433 0.01612281 -0.03399991 -0.1234025 0.01071977 -0.04149997 -0.1225774 0.009290874 -0.04149997 -0.1178123 0.008232772 -0.04149997 -0.1147981 0.00769937 -0.04149997 -0.1130424 0.005191743 -0.04149997 -0.1086035 0.009070575 -0.04149997 -0.1234025 0.007861912 -0.04149997 -0.1225774 0.009290874 -0.03399991 -0.1234025 0.01071977 -0.03399991 -0.1305014 0.005424022 -0.04149997 -0.1250525 0.007861912 -0.04149997 -0.1234025 0.007861912 -0.03399991 -0.1258774 0.009290874 -0.04149997 -0.1250525 0.007861912 -0.03399991 -0.1258774 0.009290874 -0.03399991 -0.1250525 0.01071977 -0.03399991 -0.1478117 0.005316734 -0.04149997 -0.1469866 0.003887832 -0.04149997 -0.1422178 0.002830505 -0.04149997 -0.133009 0.003668308 -0.04149997 -0.1374478 -2.10377e-4 -0.04149997 -0.1392035 0.002297163 -0.04149997 -0.1478117 0.00245893 -0.04149997 -0.1469866 0.003887832 -0.03399991 -0.1478117 0.005316734 -0.03399991 -0.1549143 2.02036e-5 -0.04149997 -0.1494616 0.00245893 -0.04149997 -0.1478117 0.00245893 -0.03399991 -0.1502866 0.003887832 -0.04149997 -0.1494616 0.00245893 -0.03399991 -0.1502866 0.003887832 -0.03399991 -0.1494616 0.005316734 -0.03399991 -0.1574219 -0.001735389 -0.04149997 -0.02840083 -0.03537839 -0.04149997 -0.03634995 -0.03849995 -0.04149997 -0.03634995 -0.03849995 -0.03399991 -0.03717494 -0.03707098 -0.04149997 -0.03717494 -0.03707098 -0.03399991 -0.03717494 -0.03992891 -0.03399991 -0.03964996 -0.03849995 -0.04149997 -0.03882497 -0.03992891 -0.03399991 -0.04505228 -0.03643995 -0.04149997 -0.03882497 -0.03707098 -0.04149997 -0.03964996 -0.03849995 -0.03399991 -0.03882497 -0.03707098 -0.03399991 -0.05717176 -0.03721249 -0.04149997 -0.06134921 -0.0400936 -0.04149997 -0.06134921 -0.0400936 -0.03399991 -0.06217426 -0.03866457 -0.04149997 -0.06217426 -0.03866457 -0.03399991 -0.06217426 -0.04152256 -0.03399991 -0.04771012 -0.03564476 -0.04149997 -0.04921221 -0.03331243 -0.04149997 -0.05422902 -0.0356242 -0.04149997 -0.06464922 -0.0400936 -0.04149997 -0.06382423 -0.04152256 -0.03399991 -0.07030117 -0.03804939 -0.04149997 -0.06382423 -0.03866457 -0.04149997 -0.06464922 -0.0400936 -0.03399991 -0.06382423 -0.03866457 -0.03399991 -0.08242064 -0.03882205 -0.04149997 -0.08634847 -0.04168725 -0.04149997 -0.08634847 -0.04168725 -0.03399991 -0.08717352 -0.04025822 -0.04149997 -0.08717352 -0.04025822 -0.03399991 -0.08717352 -0.04311621 -0.03399991 -0.07947784 -0.03723376 -0.04149997 -0.07446116 -0.03492206 -0.04149997 -0.07295894 -0.03725433 -0.04149997 -0.08964848 -0.04168725 -0.04149997 -0.08882349 -0.04311621 -0.03399991 -0.09555006 -0.03965902 -0.04149997 -0.08882349 -0.04025822 -0.04149997 -0.08964848 -0.04168725 -0.03399991 -0.08882349 -0.04025822 -0.03399991 -0.1076695 -0.04043155 -0.04149997 -0.1113477 -0.04328083 -0.04149997 -0.1113477 -0.04328083 -0.03399991 -0.1121727 -0.04185187 -0.04149997 -0.1121727 -0.04185187 -0.03399991 -0.1121727 -0.0447098 -0.03399991 -0.1047267 -0.03884339 -0.04149997 -0.09970998 -0.03653156 -0.04149997 -0.09820783 -0.03886383 -0.04149997 -0.1146478 -0.04328083 -0.04149997 -0.1138228 -0.0447098 -0.03399991 -0.1207951 -0.04126828 -0.04149997 -0.1138228 -0.04185187 -0.04149997 -0.1146478 -0.04328083 -0.03399991 -0.1138228 -0.04185187 -0.03399991 -0.1329145 -0.04204094 -0.04149997 -0.1363469 -0.04487442 -0.04149997 -0.1363469 -0.04487442 -0.03399991 -0.137172 -0.04344552 -0.04149997 -0.137172 -0.04344552 -0.03399991 -0.137172 -0.04630345 -0.03399991 -0.1234529 -0.04047322 -0.04149997 -0.1249549 -0.03814089 -0.04149997 -0.1299718 -0.04045259 -0.04149997 -0.138822 -0.04630345 -0.03399991 -0.138822 -0.04344552 -0.04149997 -0.139647 -0.04487442 -0.03399991 -0.138822 -0.04344552 -0.03399991 -0.1640372 -0.01428955 -0.04149997 -0.17673 -0.0170992 -0.03549993 -0.1792376 -0.01885485 -0.03549993 -0.1610229 -0.01482295 -0.04149997 -0.1640372 -0.01428955 -0.03549993 -0.1579552 -0.004749715 -0.04149997 -0.1592673 -0.01733052 -0.04149997 -0.1610229 -0.01482295 -0.03549993 -0.1545162 -0.03879427 -0.04149997 -0.1592673 -0.01733052 -0.03549993 -0.1502076 -0.03975069 -0.04149997 -0.1552245 -0.04206246 -0.04149997 -0.1545162 -0.03879427 -0.03549993 -0.1552245 -0.04206246 -0.03549993 -0.1581673 -0.04365062 -0.03549993 -0.1487056 -0.04208296 -0.04149997 -0.1739544 -0.04369246 -0.04149997 -0.1712965 -0.04448765 -0.03549993 -0.1754565 -0.04136019 -0.04149997 -0.1739544 -0.04369246 -0.03549993 -0.1797651 -0.04040384 -0.04149997 -0.1754565 -0.04136019 -0.03549993 -0.1804733 -0.04367202 -0.04149997 -0.179771 -0.02186918 -0.03549993 -0.02840083 -0.03537839 -0.03549993 -0.02566844 -0.03404623 -0.03549993 -0.04505228 -0.03643995 -0.03549993 -0.04771012 -0.03564476 -0.03549993 -0.05352073 -0.03235614 -0.04149997 -0.06031852 0.01686233 -0.04149997 -0.04921221 -0.03331243 -0.03549993 -0.06031852 0.01686233 -0.03549993 -0.05978518 0.01987659 -0.03549993 -0.05727756 0.02163231 -0.03549993 -0.0371111 0.02609622 -0.03549993 -0.03411602 0.02557539 -0.03549993 -0.03235274 0.02310365 -0.03549993 -0.03283518 0.0201022 -0.03549993 -0.03834587 0.003434479 -0.03549993 -0.03588247 -0.01395165 -0.03549993 -0.02595835 -0.02843248 -0.03549993 -0.02466118 -0.03118181 -0.03549993 -0.1797651 -0.04040384 -0.03549993 -0.1836764 -0.02273356 -0.03549993 -0.1804733 -0.04367202 -0.03549993 -0.1834161 -0.04526025 -0.03549993 -0.1965455 -0.04609715 -0.03549993 -0.2007054 -0.04296982 -0.04149997 -0.1992033 -0.04530209 -0.03549993 -0.2007054 -0.04296982 -0.03549993 -0.2057222 -0.04528152 -0.04149997 -0.2041801 -0.02727216 -0.03549993 -0.2036468 -0.02425783 -0.03549993 -0.2011392 -0.02250224 -0.03549993 -0.1884464 -0.01969259 -0.03549993 -0.1854321 -0.020226 -0.03549993 -0.2050139 -0.04201334 -0.03549993 -0.2080855 -0.02813667 -0.03549993 -0.2057222 -0.04528152 -0.03549993 -0.208665 -0.04686981 -0.03549993 -0.2238143 -0.04783546 -0.03549993 -0.226472 -0.0470404 -0.03549993 -0.2279742 -0.04470813 -0.03549993 -0.2331355 -0.02139103 -0.03549993 -0.2326021 -0.0183767 -0.03549993 -0.2257065 -0.01564979 -0.03549993 -0.2300945 -0.01662111 -0.03549993 -0.2226921 -0.01618319 -0.03549993 -0.2202883 -0.02161961 -0.03549993 -0.2209365 -0.018691 -0.03549993 -0.2180939 -0.0247544 -0.03549993 -0.2143259 -0.02542114 -0.03549993 -0.2128555 -0.0250957 -0.03549993 -0.2098413 -0.02562904 -0.03549993 -0.1040185 -0.03557521 -0.04149997 -0.1040185 -0.03557521 -0.03549993 -0.1091369 0.006056249 -0.04149997 -0.1130424 0.005191743 -0.03549993 -0.1047267 -0.03884339 -0.03549993 -0.1076695 -0.04043155 -0.03549993 -0.1207951 -0.04126828 -0.03549993 -0.1234529 -0.04047322 -0.03549993 -0.1292635 -0.03718447 -0.04149997 -0.1335424 6.54108e-4 -0.04149997 -0.1249549 -0.03814089 -0.03549993 -0.1335424 6.54108e-4 -0.03549993 -0.133009 0.003668308 -0.03549993 -0.1305014 0.005424022 -0.03549993 -0.1178123 0.008232772 -0.03549993 -0.1147981 0.00769937 -0.03549993 -0.1091369 0.006056249 -0.03549993 -0.09970998 -0.03653156 -0.03549993 -0.1086035 0.009070575 -0.03549993 -0.106096 0.01082623 -0.03549993 -0.09340322 0.01363581 -0.03549993 -0.09038889 0.01310247 -0.03549993 -0.08472776 0.01145935 -0.04149997 -0.07876962 -0.03396564 -0.04149997 -0.08863323 0.01059484 -0.03549993 -0.07876962 -0.03396564 -0.03549993 -0.07947784 -0.03723376 -0.03549993 -0.08242064 -0.03882205 -0.03549993 -0.09555006 -0.03965902 -0.03549993 -0.09820783 -0.03886383 -0.03549993 -0.08472776 0.01145935 -0.03549993 -0.07446116 -0.03492206 -0.03549993 -0.08419442 0.01447355 -0.03549993 -0.08168679 0.01622927 -0.03549993 -0.06899404 0.01903885 -0.03549993 -0.06597971 0.01850551 -0.03549993 -0.06422406 0.01599782 -0.03549993 -0.05352073 -0.03235614 -0.03549993 -0.05422902 -0.0356242 -0.03549993 -0.05717176 -0.03721249 -0.03549993 -0.07030117 -0.03804939 -0.03549993 -0.07295894 -0.03725433 -0.03549993 -0.1292635 -0.03718447 -0.03549993 -0.1374478 -2.10377e-4 -0.03549993 -0.1299718 -0.04045259 -0.03549993 -0.1329145 -0.04204094 -0.03549993 -0.1460478 -0.04287815 -0.03549993 -0.1487056 -0.04208296 -0.03549993 -0.1502076 -0.03975069 -0.03549993 -0.1579552 -0.004749715 -0.03549993 -0.1574219 -0.001735389 -0.03549993 -0.1549143 2.02036e-5 -0.03549993 -0.1422178 0.002830505 -0.03549993 -0.1392035 0.002297163 -0.03549993 -0.03299999 0 -0.04099988 -0.02857935 -0.0164991 -0.04099988 -0.02857935 0.01649904 -0.04099988 -0.01650053 0.02857846 -0.04099988 0 0.03299999 -0.04099988 0.01650053 0.02857846 -0.04099988 0.02857935 0.0164991 -0.04099988 0.03299999 0 -0.04099988 0.02857935 -0.01649904 -0.04099988 0.01650053 -0.02857846 -0.04099988 0 -0.03299999 -0.04099988 -0.01650053 -0.02857846 -0.04099988 -0.2445 -0.04724997 -0.03399991 -0.2445 -0.05007767 -0.03282773 -0.2445 -0.05124998 -0.02399992 -0.2445 -0.05124998 -0.02999997 -0.238 -0.04707497 -0.03042894 -0.238 -0.01324999 -0.02399992 -0.238 -0.01817494 -0.02713799 -0.238 -0.04707497 -0.02757102 -0.238 -0.04542493 -0.02757102 -0.238 -0.03889989 -0.02899998 -0.238 -0.04789996 -0.02899998 -0.238 -0.03807497 -0.02757102 -0.238 -0.03642499 -0.02757102 -0.238 -0.02932488 -0.02713799 -0.238 -0.020325 -0.02713799 -0.238 -0.02717489 -0.02713799 0.002309322 6.2989e-6 -0.03399991 0.02963012 0.00469619 -0.03399991 0.02872473 0.001476526 -0.03399991 0.01492875 0.02602112 -0.03399991 0.002235591 0.02991628 -0.03399991 -0.1721107 0.001334667 -0.03399991 -0.01090055 0.02794951 -0.03399991 -0.2161629 -0.01712203 -0.03399991 -0.2119892 -0.0197829 -0.03799992 -0.2146267 -0.01931619 -0.03799992 -0.2161629 -0.01712203 -0.03799992 -0.2445 -0.01324999 -0.02399992 -0.238 -0.04542493 -0.03042894 -0.238 -0.03807497 -0.03042894 -0.238 -0.03642499 -0.03042894 -0.238 -0.02932488 -0.03086191 -0.238 -0.01709991 -0.02899998 -0.238 -0.01817494 -0.03086191 -0.238 -0.020325 -0.03086191 -0.238 -0.02609992 -0.02899998 -0.238 -0.02717489 -0.03086191 -0.2146267 -0.01931619 -0.03399991 -0.1699495 -0.008428871 -0.03799992 -0.1699495 -0.008428871 -0.03399991 -0.17147 -0.01081389 -0.03799992 -0.1702162 -0.009936034 -0.03799992 -0.2445 -0.01817494 -0.03086191 -0.2445 -0.04707497 -0.02757102 -0.2445 -0.04542493 -0.02757102 -0.2445 -0.03807497 -0.02757102 -0.2445 -0.03642499 -0.02757102 -0.2445 -0.02932488 -0.02713799 -0.2445 -0.01709991 -0.02899998 -0.2445 -0.01817494 -0.02713799 -0.2445 -0.020325 -0.02713799 -0.2445 -0.02609992 -0.02899998 -0.2445 -0.02717489 -0.02713799 -0.2445 -0.04789996 -0.02899998 -0.2445 -0.04542493 -0.03042894 -0.2445 -0.04459995 -0.02899998 -0.2445 -0.03889989 -0.02899998 -0.2445 -0.04707497 -0.03042894 -0.2445 -0.03807497 -0.03042894 -0.2445 -0.03642499 -0.03042894 -0.2445 -0.03039991 -0.02899998 -0.2445 -0.020325 -0.03086191 -0.2445 -0.02717489 -0.03086191 -0.2445 -0.02932488 -0.03086191 -0.238 -0.04459995 -0.02899998 -0.2445 -0.03559988 -0.02899998 -0.238 -0.03559988 -0.02899998 -0.2445 -0.02139997 -0.02899998 -0.238 -0.02139997 -0.02899998 -0.238 -0.03039991 -0.02899998 -0.01519668 0.003303289 -0.02399992 -0.01696389 0.001535058 -0.02399992 -0.01549988 -0.001999974 -0.02399992 -0.01549988 -0.001999974 -0.03099989 -0.01299995 -0.001999974 -0.02399992 -0.01696389 -0.005535066 -0.02399992 -0.01696604 -0.005536496 -0.03099989 -0.0205 0.002998173 -0.02399992 -0.01696604 0.001536428 -0.03099989 -0.0258032 0.003303289 -0.02399992 -0.02403599 0.001535058 -0.02399992 -0.0205 0.002999186 -0.03099989 -0.02799993 -0.001999974 -0.02399992 -0.02549993 -0.001999974 -0.02399992 -0.0240339 0.001536428 -0.03099989 -0.0258032 -0.007303297 -0.02399992 -0.02403599 -0.005535066 -0.02399992 -0.02549993 -0.001999974 -0.03099989 -0.0205 -0.006998181 -0.02399992 -0.0240339 -0.005536496 -0.03099989 -0.01519668 -0.007303297 -0.02399992 -0.0205 -0.006999194 -0.03099989 -0.01299995 -0.001999974 -0.02899998 -0.01519668 0.003303289 -0.02899998 -0.0135709 8.70129e-4 -0.02899998 -0.0205 -0.009499967 -0.02399992 -0.01519668 -0.007303297 -0.02899998 -0.0135709 -0.004870057 -0.02899998 -0.0205 -0.009499967 -0.02899998 -0.01762986 -0.008929073 -0.02899998 -0.0258032 -0.007303297 -0.02899998 -0.02337002 -0.008929073 -0.02899998 -0.02799993 -0.001999974 -0.02899998 -0.02742904 -0.004870057 -0.02899998 -0.0205 0.005499899 -0.02399992 -0.0258032 0.003303289 -0.02899998 -0.02742904 8.70128e-4 -0.02899998 -0.0205 0.005499899 -0.02899998 -0.02337002 0.004929006 -0.02899998 -0.01762986 0.004929006 -0.02899998 -0.0231499 -0.001999974 -0.03099989 -0.02182561 2.94046e-4 -0.03099989 -0.02279394 -6.74351e-4 -0.03099989 -0.0205 -0.004649937 -0.03099989 -0.02279394 -0.003325641 -0.03099989 -0.02182561 -0.004293978 -0.03099989 -0.01917427 -0.004293978 -0.03099989 -0.01784998 -0.001999974 -0.03099989 -0.01820594 -0.003325641 -0.03099989 -0.0205 6.5e-4 -0.03099989 -0.01820594 -6.74351e-4 -0.03099989 -0.01917427 2.94046e-4 -0.03099989 -0.01324748 0.003269076 -0.03253549 -0.01153546 -0.001999974 -0.03253549 -0.02946442 -0.001999974 -0.03253549 -0.02775233 -0.007269144 -0.03253549 -0.02775233 0.003269076 -0.03253549 -0.02327013 0.006525695 -0.03253549 -0.01772975 0.006525695 -0.03253549 -0.01324748 -0.007269144 -0.03253549 -0.01772975 -0.0105257 -0.03253549 -0.02327013 -0.0105257 -0.03253549 -0.005854368 -0.01567065 -0.03549993 -0.01290577 0.02221339 -0.03549993 -0.001160085 0.001996815 -0.03549993 -0.001160085 0.001996815 -0.03399991 9.50889e-5 -0.01449966 -0.03549993 3.07938e-4 5.3674e-4 -0.03549993 3.07938e-4 5.3674e-4 -0.03399991 -0.005426228 -0.01449435 -0.03549993 -0.004934132 -0.01394218 -0.03549993 -0.00419712 -0.01387917 -0.03549993 -0.0149976 -0.0259813 -0.03549993 -0.01322311 0.02554291 -0.03549993 -0.01290577 0.02221339 -0.03399991 -0.02091205 0.0215094 -0.03549993 -0.01090055 0.02794951 -0.03549993 -0.01322311 0.02554291 -0.03399991 -0.0205 0.003599107 -0.03549993 -0.0148999 -0.001999974 -0.03549993 -0.01654189 0.001960813 -0.03549993 -0.01500201 0.02597862 -0.03749996 0 0.02999997 -0.03749996 -0.02609992 -0.001999974 -0.03549993 -0.02763545 0.01167255 -0.03549993 -0.02597862 0.01500201 -0.03749996 -0.02445799 0.001960813 -0.03549993 -0.02999997 0 -0.03549993 -0.02597904 -0.01500231 -0.03549993 -0.02999997 0 -0.03749996 -0.01654189 -0.005960822 -0.03549993 -0.02597862 -0.01500201 -0.03749996 -0.0205 -0.007599115 -0.03549993 -0.02445799 -0.005960822 -0.03549993 -0.005208134 -0.01696866 -0.03549993 0 -0.02999907 -0.03549993 -0.01500201 -0.02597862 -0.03749996 -0.005809843 -0.01645845 -0.03549993 0.01425415 -0.01057732 -0.03549993 0.0149976 -0.0259813 -0.03549993 0 -0.02999997 -0.03749996 0.0114988 -0.009295642 -0.03549993 0.01184886 -0.009942412 -0.03549993 0.01280832 -0.01074749 -0.03549993 0.006040394 -0.01637208 -0.03549993 0.01356798 -0.01097452 -0.03549993 0.00544393 -0.01689445 -0.03549993 1.2392e-4 -0.01774948 -0.03549993 0.02569025 7.00708e-5 -0.03549993 0.02597904 -0.01500231 -0.03549993 0.01500201 -0.02597862 -0.03749996 0.01726514 -0.00412029 -0.03549993 0.01608657 -0.007501125 -0.03549993 0.02990734 0.002355337 -0.03549993 0.02999997 0 -0.03549993 0.02597862 -0.01500201 -0.03749996 0.02963012 0.00469619 -0.03549993 0.02872473 0.001476526 -0.03549993 0.02999997 0 -0.03749996 0.02597862 0.01500201 -0.03749996 0.02469784 0.01702922 -0.03399991 0.01451218 -0.002833425 -0.03549993 0.002309322 6.2989e-6 -0.03549993 0.02569025 7.00708e-5 -0.03399991 0.01523268 -0.002685904 -0.03549993 0.01646608 -0.002903342 -0.03549993 0.01712828 -0.00333935 -0.03549993 0.004380524 -0.01382237 -0.03549993 0.01184886 -0.009942412 -0.04149997 0.006069064 -0.01557976 -0.03549993 0.01168572 -0.00858438 -0.03549993 0.0114988 -0.009295642 -0.04149997 0.01408743 -0.003433883 -0.03549993 0.01314187 -0.006126344 -0.03549993 0.01168572 -0.00858438 -0.04149997 0.01314324 -0.006123304 -0.04149997 0.005614459 -0.01441276 -0.03549993 0.01408743 -0.003433883 -0.04149997 0.01451218 -0.002833425 -0.04149997 0.005114138 -0.01387357 -0.03549993 0.01646608 -0.002903342 -0.04149997 0.01523268 -0.002685904 -0.04149997 0.01712828 -0.00333935 -0.04149997 0.01726514 -0.00412029 -0.04149997 0.01608747 -0.007499456 -0.04149997 0.01425415 -0.01057732 -0.04149997 0.01356798 -0.01097452 -0.04149997 0.01280832 -0.01074749 -0.04149997 0.004380524 -0.01382237 -0.04149997 9.68383e-5 -0.01449966 -0.04149997 0.005114138 -0.01387357 -0.04149997 0.006069064 -0.01557976 -0.04149997 0.005614459 -0.01441276 -0.04149997 0.006040394 -0.01637208 -0.04149997 0.00544393 -0.01689445 -0.04149997 1.22376e-4 -0.01774948 -0.04149997 -0.005208134 -0.01696866 -0.04149997 -0.005809843 -0.01645845 -0.04149997 -0.005426228 -0.01449435 -0.04149997 -0.005854368 -0.01567065 -0.04149997 -0.004934132 -0.01394218 -0.04149997 -0.00419712 -0.01387917 -0.04149997 -0.01784998 -0.001999974 -0.03254991 -0.01820492 -6.75e-4 -0.03254991 -0.01917499 -0.004294872 -0.03254991 -0.01820492 -0.003324985 -0.03254991 -0.0205 -0.004649937 -0.03254991 -0.02279496 -0.003324985 -0.03254991 -0.02182495 -0.004294872 -0.03254991 -0.0231499 -0.001999974 -0.03254991 -0.02182495 2.94967e-4 -0.03254991 -0.02279496 -6.75e-4 -0.03254991 -0.0205 6.5e-4 -0.03254991 -0.01917499 2.94967e-4 -0.03254991 -0.02857697 -0.01650255 -0.03749996 -0.03299999 0 -0.03749996 0 -0.03299903 -0.03749996 -0.01649737 -0.02857947 -0.03749996 0.01649737 -0.02857947 -0.03749996 0.02857697 -0.01650255 -0.03749996 0.03299999 0 -0.03749996 0.02857697 0.01650255 -0.03749996 -0.02857697 0.01650255 -0.03749996 0 0.03299903 -0.03749996 0.01649737 0.02857947 -0.03749996 -0.01649737 0.02857947 -0.03749996 0.01500201 0.02597862 -0.03749996 -0.007999956 -0.001999974 -0.03399991 -0.0166344 -0.01388651 -0.03399991 -0.01038098 -0.009338259 -0.03399991 -0.03299999 -0.001999974 -0.03399991 -0.03061896 -0.009338259 -0.03399991 -0.0243656 -0.01388651 -0.03399991 -0.03061896 0.005338251 -0.03399991 -0.01663434 0.009886503 -0.03399991 -0.02436554 0.009886503 -0.03399991 4.00491e-4 -0.01719176 -0.04149997 8e-4 -0.01649999 -0.04149997 8e-4 -0.01649999 -0.03669995 4.00491e-4 -0.0158081 -0.04149997 4e-4 -0.01580715 -0.03669995 -4.00491e-4 -0.01719176 -0.04149997 4e-4 -0.01719278 -0.03669995 -8e-4 -0.01649999 -0.04149997 -4e-4 -0.01719278 -0.03669995 -4.00491e-4 -0.0158081 -0.04149997 -8e-4 -0.01649999 -0.03669995 -4e-4 -0.01580715 -0.03669995 0.01496911 -0.00843811 -0.04149997 0.01536858 -0.007746279 -0.04149997 0.01536858 -0.007746279 -0.03549993 0.01496911 -0.007054388 -0.04149997 0.01496863 -0.007053375 -0.03549993 0.01416814 -0.00843811 -0.04149997 0.01496863 -0.008439064 -0.03549993 0.01376861 -0.007746279 -0.04149997 0.01416862 -0.008439064 -0.03549993 0.01416814 -0.007054388 -0.04149997 0.01376861 -0.007746279 -0.03549993 0.01416862 -0.007053375 -0.03549993 0 -0.01649999 -0.03621923 -0.17147 -0.01081389 -0.03399991 -0.1702162 -0.009936034 -0.03399991 -0.2119892 -0.0197829 -0.03399991 -0.01038098 0.005338251 -0.03399991 0.01456856 -0.007746279 -0.03501921 0.01802718 -0.02397954 -0.0478 0.0294345 -0.02799993 -0.0478 0.01077032 -0.02799993 -0.0478 0.01077032 -0.02799993 -0.05579996 0.01500082 -0.02597999 -0.04549998 -0.003958821 -0.02973735 -0.05579996 0 -0.02999997 -0.0478 0.03574997 -0.004479885 -0.0478 0.03887885 -0.01178091 -0.0478 0.03176057 -0.02533042 -0.04179996 0.02795559 -0.010885 -0.0478 0.02986782 -0.002812147 -0.0478 0.03187 0.002239346 -0.0478 0.02390545 -0.01812535 -0.0478 0.03187 -0.002239346 -0.0478 0.01762491 -0.03660243 -0.04179996 0.0294345 -0.02799993 -0.05579996 0.03962981 -0.002239346 -0.0478 0.04054898 -0.00248152 -0.0478 0.03960591 -0.009040474 -0.04179996 0.04002493 0.006955385 -0.0478 0.03574997 0.004479885 -0.0478 0.03262841 0.02420246 -0.0478 0.03960591 0.009040474 -0.04179996 0.03962981 0.002239346 -0.0478 0.02643913 0.02960604 -0.0478 0.02615243 0.03108745 -0.0478 0.03176057 0.02533042 -0.04179996 0.02960604 0.02643913 -0.0478 0.02211111 0.02844685 -0.0478 0.01826322 0.03628796 -0.0478 0.002239346 0.03962981 -0.0478 0 0.04062491 -0.0478 0.01762491 0.03660243 -0.04179996 0.01580613 0.02549827 -0.0478 0.008217453 0.02885258 -0.0478 0.004479885 0.03574997 -0.0478 0.02095204 0.0241189 -0.0478 -0.002239346 0.03962981 -0.0478 -0.01000839 0.03937274 -0.0478 0 0.04062491 -0.04179996 -0.01445084 0.02628988 -0.0478 -0.01939737 0.03569459 -0.0478 -0.01762491 0.03660243 -0.04179996 -0.004479885 0.03574997 -0.0478 -0.02643913 0.02960604 -0.0478 -0.02759015 0.02981853 -0.0478 -0.02095204 0.0241189 -0.0478 -0.02211111 0.02844685 -0.0478 -0.02960604 0.02643913 -0.0478 -0.03408336 0.02210623 -0.0478 -0.03176057 0.02533042 -0.04179996 -0.04050236 0.003152847 -0.0478 -0.03847783 0.01303184 -0.0478 -0.02993965 0.001899123 -0.0478 -0.03960591 0.009040474 -0.04179996 -0.02715253 -0.01275664 -0.0478 -0.04050236 0.003152847 -0.05579996 -0.03960591 -0.009040474 -0.04179996 -0.03837352 -0.01333618 -0.0478 -0.0400511 -0.006802439 -0.05579996 -0.02999997 0 -0.04549998 -0.02715253 -0.01275664 -0.05579996 -0.02251148 -0.01982998 -0.0478 -0.02597999 -0.01500082 -0.04549998 -0.02844685 0.02211111 -0.0478 -0.025325 0.01608175 -0.0478 -0.02597999 0.01500082 -0.04549998 -0.01500082 0.02597999 -0.04549998 -0.0241189 0.02095204 -0.0478 -0.002239346 0.03187 -0.0478 0 0.02999997 -0.0478 0.002239346 0.03187 -0.0478 0 0.02999997 -0.04549998 0.01500082 0.02597999 -0.04549998 0.02218574 0.02019381 -0.0478 0.0241189 0.02095204 -0.0478 0.02686834 0.013345 -0.0478 0.02597999 0.01500082 -0.04549998 0.02844685 0.02211111 -0.0478 0.02949601 0.00547564 -0.0478 0.02999997 0 -0.04549998 0.02597999 -0.01500082 -0.04549998 0.03574997 -0.002149999 -0.04546993 0.0376119 -0.00107491 -0.04546993 0.03388804 -0.00107491 -0.04546993 0.03388804 0.00107491 -0.04546993 0.03574997 0.002149999 -0.04546993 0.0376119 0.00107491 -0.04546993 0.02679932 0.0237587 -0.04546993 0.02735579 0.02583551 -0.04546993 0.02472257 0.0232023 -0.04546993 0.0232023 0.02472257 -0.04546993 0.0237587 0.02679932 -0.04546993 0.02583551 0.02735579 -0.04546993 0.002149999 0.03574997 -0.04546993 0.00107491 0.0376119 -0.04546993 0.00107491 0.03388804 -0.04546993 -0.00107491 0.03388804 -0.04546993 -0.002149999 0.03574997 -0.04546993 -0.00107491 0.0376119 -0.04546993 -0.0237587 0.02679932 -0.04546993 -0.02583551 0.02735579 -0.04546993 -0.0232023 0.02472257 -0.04546993 -0.02472257 0.0232023 -0.04546993 -0.02679932 0.0237587 -0.04546993 -0.02735579 0.02583551 -0.04546993 -0.01650089 -0.02857798 -0.04179996 -0.01762491 -0.03660243 -0.04179996 0 -0.04062491 -0.04179996 0 -0.04062491 -0.0478 0 -0.03789997 -0.04179996 0.01272594 -0.03857988 -0.05579996 -0.001861989 -0.03682422 -0.04179996 0.002952814 -0.04051738 -0.05579996 -0.02679932 -0.02679932 -0.04179996 -0.03176057 -0.02533042 -0.04179996 -0.02981954 -0.02758944 -0.0478 -0.0237587 -0.0237587 -0.04179996 -0.02472198 -0.02735537 -0.04179996 -0.02320265 -0.02583605 -0.04179996 -0.01627314 -0.03722321 -0.0478 -0.03299999 0 -0.04179996 -0.02857798 -0.01650089 -0.04179996 -0.02735537 -0.02472198 -0.04179996 -0.02583605 0.02735537 -0.04179996 -0.02857798 0.01650089 -0.04179996 -0.02735537 0.02583605 -0.04179996 -0.001074314 0.03761202 -0.04179996 -0.002149999 0.03574997 -0.04179996 -0.01650089 0.02857798 -0.04179996 -0.02320265 0.02472198 -0.04179996 -0.0237587 0.02679932 -0.04179996 0.01650089 0.02857798 -0.04179996 0.002149999 0.03574997 -0.04179996 0.001074314 0.03761202 -0.04179996 0.02735537 0.02583605 -0.04179996 0.02320265 0.02472198 -0.04179996 0.02583605 0.02735537 -0.04179996 0.0237587 0.02679932 -0.04179996 0.03761202 0.001074314 -0.04179996 0.02857798 0.01650089 -0.04179996 0.03299999 0 -0.04179996 0.03388792 -0.001074314 -0.04179996 0.03574997 0.002149999 -0.04179996 0.03388792 0.001074314 -0.04179996 0.03761202 -0.001074314 -0.04179996 0.03574997 -0.002149999 -0.04179996 0.02857798 -0.01650089 -0.04179996 0.01650089 -0.02857798 -0.04179996 0.001861989 -0.03467559 -0.04179996 0.001861989 -0.03682422 -0.04179996 0.02173191 -0.03432327 -0.05579996 0 -0.03299999 -0.04179996 0 -0.03299999 -0.04549998 0 -0.03359997 -0.04179996 -0.01649969 -0.02857846 -0.04549998 0.01649969 -0.02857846 -0.04549998 0.02857875 -0.01649999 -0.04549998 0.03299957 0 -0.04549998 0.02857875 0.01649999 -0.04549998 0.02679932 0.0237587 -0.04179996 0.02472198 0.02320265 -0.04179996 0.001074314 0.03388792 -0.04179996 0 0.03299999 -0.04179996 0.01649969 0.02857846 -0.04549998 -0.001074314 0.03388792 -0.04179996 0 0.03299999 -0.04549998 -0.02472198 0.02320265 -0.04179996 -0.01649969 0.02857846 -0.04549998 -0.02857875 0.01649999 -0.04549998 -0.02679932 0.0237587 -0.04179996 -0.03299957 0 -0.04549998 -0.02857875 -0.01649999 -0.04549998 -0.02583605 -0.02320265 -0.04179996 -0.001861989 -0.03467559 -0.04179996 0 -0.03789997 -0.05346989 -0.00186187 -0.036825 -0.05346989 0.00186187 -0.036825 -0.05346989 0.00186187 -0.034675 -0.05346989 0 -0.03359997 -0.05346989 -0.00186187 -0.034675 -0.05346989 -0.02679932 -0.02679932 -0.05346989 -0.02735579 -0.02472257 -0.05346989 -0.02472257 -0.02735579 -0.05346989 -0.0232023 -0.02583551 -0.05346989 -0.0237587 -0.0237587 -0.05346989 -0.02583551 -0.0232023 -0.05346989 -0.007001936 -0.04001677 -0.05579996 0 -0.04022991 -0.05579996 0.003879845 -0.03798925 -0.05579996 -0.01653015 -0.03710943 -0.05579996 -0.003879845 -0.03351062 -0.05579996 -0.003879845 -0.03798925 -0.05579996 -0.02506446 -0.03197091 -0.05579996 -0.01772332 -0.02420467 -0.05579996 -0.03209507 -0.02490562 -0.05579996 -0.02844685 -0.02844685 -0.05579996 -0.02095204 -0.02643913 -0.05579996 -0.0241189 -0.02960604 -0.05579996 -0.03719156 -0.0163443 -0.05579996 -0.02960604 -0.0241189 -0.05579996 -0.008373498 -0.02880764 -0.0478 0 -0.02999997 -0.04549998 -0.01500082 -0.02597999 -0.04549998 -0.01608133 -0.02532565 -0.0478 -0.02211111 -0.02211111 -0.05579996 -0.02643913 -0.02095204 -0.05579996 0 -0.0312699 -0.05579996 0.003879845 -0.03351062 -0.05579996 -0.238 -0.02251493 -0.02899998 -0.238 -0.02066421 -0.02758574 -0.238 -0.02066421 -0.03041416 -0.2401 -0.02066421 -0.03041416 -0.238 -0.0215587 -0.03130865 -0.238 -0.01783573 -0.03041416 -0.2401 -0.01783573 -0.03041416 -0.238 -0.01694118 -0.02669119 -0.238 -0.01783573 -0.02758574 -0.2401 -0.02066421 -0.02758574 -0.238 -0.01924997 -0.02573496 -0.238 -0.01598495 -0.02899998 -0.2401 -0.01783573 -0.02758574 -0.238 -0.01924997 -0.03226488 -0.2379311 -0.02167618 -0.03142619 -0.237765 -0.02274996 -0.02899998 -0.238 -0.01694118 -0.03130865 -0.237765 -0.01924997 -0.0324999 -0.237765 -0.02172482 -0.03147476 -0.237765 -0.01677513 -0.03147476 -0.237765 -0.01574999 -0.02899998 -0.2379311 -0.0168237 -0.02657371 -0.238 -0.0215587 -0.02669119 -0.237765 -0.01924997 -0.02549993 -0.237765 -0.01677513 -0.02652508 -0.237765 -0.02172482 -0.02652508 -0.2401 -0.01808327 -0.02783322 -0.2401 -0.02041661 -0.02783328 -0.2401 -0.01808327 -0.03016662 -0.2401 -0.02041661 -0.03016668 -0.254 -0.02041661 -0.03016668 -0.254 -0.01808327 -0.03016662 -0.254 -0.02041661 -0.02783328 -0.254 -0.01808327 -0.02783322 -0.234 -0.02047473 -0.02777516 -0.234 -0.02234995 -0.02900028 -0.234 -0.02144199 -0.031192 -0.2344 -0.02172482 -0.03147476 -0.234 -0.01969826 -0.03067296 -0.234 -0.01925027 -0.0320999 -0.2344 -0.01924997 -0.0324999 -0.234 -0.02092295 -0.02944827 -0.234 -0.01924961 -0.0259 -0.234 -0.02144193 -0.02680802 -0.2344 -0.02274996 -0.02899998 -0.2344 -0.02172482 -0.02652508 -0.234 -0.01880162 -0.02732694 -0.234 -0.01705795 -0.02680796 -0.2344 -0.01924997 -0.02549993 -0.234 -0.01802515 -0.03022474 -0.234 -0.01614993 -0.02899968 -0.2344 -0.01677513 -0.02652508 -0.234 -0.01757693 -0.02855163 -0.234 -0.01705801 -0.03119194 -0.2344 -0.01574999 -0.02899998 -0.2344 -0.01677513 -0.03147476 -0.236 -0.01969826 -0.03067296 -0.236 -0.02092295 -0.02944827 -0.236 -0.01802515 -0.03022474 -0.236 -0.01757693 -0.02855163 -0.236 -0.01880162 -0.02732694 -0.236 -0.02047473 -0.02777516 -0.238 -0.031515 -0.02899998 -0.238 -0.02966415 -0.02758574 -0.238 -0.02966415 -0.03041416 -0.2401 -0.02966415 -0.03041416 -0.238 -0.0305587 -0.03130865 -0.238 -0.02683568 -0.03041416 -0.2401 -0.02683568 -0.03041416 -0.238 -0.02594125 -0.02669119 -0.238 -0.02683568 -0.02758574 -0.2401 -0.02966415 -0.02758574 -0.238 -0.02824991 -0.02573496 -0.238 -0.02498495 -0.02899998 -0.2401 -0.02683568 -0.02758574 -0.238 -0.02824991 -0.03226488 -0.2379311 -0.03067618 -0.03142619 -0.237765 -0.03174996 -0.02899998 -0.238 -0.02594125 -0.03130865 -0.237765 -0.02824991 -0.0324999 -0.237765 -0.03072482 -0.03147476 -0.237765 -0.02577507 -0.03147476 -0.237765 -0.02474999 -0.02899998 -0.2379311 -0.02582377 -0.02657371 -0.238 -0.0305587 -0.02669119 -0.237765 -0.02824991 -0.02549993 -0.237765 -0.02577507 -0.02652508 -0.237765 -0.03072482 -0.02652508 -0.2401 -0.02708321 -0.02783322 -0.2401 -0.02941662 -0.02783328 -0.2401 -0.02708321 -0.03016662 -0.2401 -0.02941668 -0.03016668 -0.254 -0.02941668 -0.03016668 -0.254 -0.02708321 -0.03016662 -0.254 -0.02941662 -0.02783328 -0.254 -0.02708321 -0.02783322 -0.234 -0.02947473 -0.02777516 -0.234 -0.03134989 -0.02900028 -0.234 -0.03044193 -0.031192 -0.2344 -0.03072482 -0.03147476 -0.234 -0.02869826 -0.03067296 -0.234 -0.02825021 -0.0320999 -0.2344 -0.02824991 -0.0324999 -0.234 -0.02992302 -0.02944827 -0.234 -0.02824968 -0.0259 -0.234 -0.03044188 -0.02680802 -0.2344 -0.03174996 -0.02899998 -0.2344 -0.03072482 -0.02652508 -0.234 -0.02780169 -0.02732694 -0.234 -0.02605789 -0.02680796 -0.2344 -0.02824991 -0.02549993 -0.234 -0.02702522 -0.03022474 -0.234 -0.02515 -0.02899968 -0.2344 -0.02577507 -0.02652508 -0.234 -0.02657693 -0.02855163 -0.234 -0.02605795 -0.03119194 -0.2344 -0.02474999 -0.02899998 -0.2344 -0.02577507 -0.03147476 -0.236 -0.02869826 -0.03067296 -0.236 -0.02992302 -0.02944827 -0.236 -0.02702522 -0.03022474 -0.236 -0.02657693 -0.02855163 -0.236 -0.02780169 -0.02732694 -0.236 -0.02947473 -0.02777516 -0.253 -0.04624992 0.02773499 -0.253 -0.04483574 0.02958571 -0.253 -0.04766416 0.02958571 -0.2509 -0.04766416 0.02958571 -0.253 -0.04855865 0.02869129 -0.253 -0.04766416 0.03241407 -0.2509 -0.04766416 0.03241407 -0.253 -0.04394119 0.03330868 -0.253 -0.04483568 0.03241413 -0.2509 -0.04483574 0.02958571 -0.253 -0.04298496 0.03099989 -0.253 -0.04624992 0.03426498 -0.2509 -0.04483568 0.03241413 -0.253 -0.04951488 0.03099989 -0.2530688 -0.04867619 0.02857375 -0.253235 -0.04624992 0.02749997 -0.253 -0.04855865 0.03330868 -0.253235 -0.04974997 0.03099989 -0.253235 -0.04872483 0.02852511 -0.253235 -0.04872483 0.03347486 -0.253235 -0.04624992 0.0345 -0.2530688 -0.04382371 0.03342616 -0.253 -0.04394119 0.02869129 -0.253235 -0.04275 0.03099989 -0.253235 -0.04377508 0.03347486 -0.253235 -0.04377508 0.02852511 -0.2509 -0.04508322 0.03216665 -0.2509 -0.04508322 0.02983319 -0.2509 -0.04741662 0.03216665 -0.2509 -0.04741662 0.02983319 -0.243 -0.04741662 0.02983319 -0.243 -0.04741662 0.03216665 -0.243 -0.04508322 0.02983319 -0.243 -0.04508322 0.03216665 -0.257 -0.0493499 0.03099989 -0.257 -0.04624992 0.02790004 -0.257 -0.04844194 0.02880787 -0.2566 -0.04872483 0.02852511 -0.2566 -0.04974997 0.03099989 -0.257 -0.04502516 0.0297752 -0.257 -0.04405796 0.02880787 -0.2566 -0.04624992 0.02749997 -0.257 -0.04792296 0.03055167 -0.257 -0.04669827 0.02932691 -0.257 -0.04457694 0.03144824 -0.257 -0.04315 0.03099989 -0.2566 -0.04377508 0.02852511 -0.257 -0.04624992 0.03409987 -0.257 -0.04405796 0.03319191 -0.2566 -0.04275 0.03099989 -0.2566 -0.04377508 0.03347486 -0.257 -0.04747474 0.03222471 -0.257 -0.04844194 0.03319191 -0.2566 -0.04624992 0.0345 -0.257 -0.04580163 0.032673 -0.2566 -0.04872483 0.03347486 -0.255 -0.04792296 0.03055167 -0.255 -0.04669827 0.02932691 -0.255 -0.04747474 0.03222471 -0.255 -0.04580163 0.032673 -0.255 -0.04457694 0.03144824 -0.255 -0.04502516 0.0297752 -0.253 -0.03724998 0.02773499 -0.253 -0.0358358 0.02958571 -0.253 -0.03866416 0.02958571 -0.2509 -0.03866416 0.02958571 -0.253 -0.03955864 0.02869129 -0.253 -0.03866416 0.03241407 -0.2509 -0.03866416 0.03241407 -0.253 -0.03494119 0.03330868 -0.253 -0.03583574 0.03241413 -0.2509 -0.0358358 0.02958571 -0.253 -0.03398489 0.03099989 -0.253 -0.03724998 0.03426498 -0.2509 -0.03583574 0.03241413 -0.253 -0.04051488 0.03099989 -0.2530688 -0.03967612 0.02857375 -0.253235 -0.03724998 0.02749997 -0.253 -0.03955864 0.03330868 -0.253235 -0.0407499 0.03099989 -0.253235 -0.03972476 0.02852511 -0.253235 -0.03972476 0.03347486 -0.253235 -0.03724998 0.0345 -0.2530688 -0.03482377 0.03342616 -0.253 -0.03494119 0.02869129 -0.253235 -0.03374993 0.03099989 -0.253235 -0.03477501 0.03347486 -0.253235 -0.03477501 0.02852511 -0.2509 -0.03608322 0.03216665 -0.2509 -0.03608322 0.02983319 -0.2509 -0.03841668 0.03216665 -0.2509 -0.03841668 0.02983319 -0.243 -0.03841668 0.02983319 -0.243 -0.03841668 0.03216665 -0.243 -0.03608322 0.02983319 -0.243 -0.03608322 0.03216665 -0.257 -0.0403499 0.03099989 -0.257 -0.03724998 0.02790004 -0.257 -0.039442 0.02880787 -0.2566 -0.03972476 0.02852511 -0.2566 -0.0407499 0.03099989 -0.257 -0.03602516 0.0297752 -0.257 -0.03505796 0.02880787 -0.2566 -0.03724998 0.02749997 -0.257 -0.03892302 0.03055167 -0.257 -0.0376982 0.02932691 -0.257 -0.03557687 0.03144824 -0.257 -0.03415006 0.03099989 -0.2566 -0.03477501 0.02852511 -0.257 -0.03724998 0.03409987 -0.257 -0.03505796 0.03319191 -0.2566 -0.03374993 0.03099989 -0.2566 -0.03477501 0.03347486 -0.257 -0.03847467 0.03222471 -0.257 -0.039442 0.03319191 -0.2566 -0.03724998 0.0345 -0.257 -0.03680163 0.032673 -0.2566 -0.03972476 0.03347486 -0.255 -0.03892302 0.03055167 -0.255 -0.0376982 0.02932691 -0.255 -0.03847467 0.03222471 -0.255 -0.03680163 0.032673 -0.255 -0.03557687 0.03144824 -0.255 -0.03602516 0.0297752 -0.238 -0.031515 0.03099989 -0.238 -0.02966409 0.03241407 -0.238 -0.02966415 0.02958571 -0.2401 -0.02966415 0.02958571 -0.238 -0.0305587 0.02869129 -0.238 -0.02683573 0.02958571 -0.2401 -0.02683573 0.02958571 -0.238 -0.02594125 0.03330868 -0.238 -0.02683568 0.03241413 -0.2401 -0.02966409 0.03241407 -0.238 -0.02824991 0.03426498 -0.238 -0.02498495 0.03099989 -0.2401 -0.02683568 0.03241413 -0.238 -0.02824991 0.02773499 -0.2379311 -0.03067618 0.02857375 -0.237765 -0.03174996 0.03099989 -0.238 -0.02594125 0.02869129 -0.237765 -0.02824991 0.02749997 -0.237765 -0.03072482 0.02852511 -0.237765 -0.02577507 0.02852511 -0.237765 -0.02474999 0.03099989 -0.2379311 -0.02582377 0.03342616 -0.238 -0.0305587 0.03330868 -0.237765 -0.02824991 0.0345 -0.237765 -0.02577507 0.03347486 -0.237765 -0.03072482 0.03347486 -0.2401 -0.02708321 0.03216665 -0.2401 -0.02941668 0.03216665 -0.2401 -0.02708321 0.02983319 -0.2401 -0.02941668 0.02983319 -0.248 -0.02941668 0.02983319 -0.248 -0.02708321 0.02983319 -0.248 -0.02941668 0.03216665 -0.248 -0.02708321 0.03216665 -0.234 -0.02824991 0.02790004 -0.234 -0.03134983 0.03099989 -0.234 -0.03044193 0.02880787 -0.2344 -0.03072482 0.02852511 -0.2344 -0.02824991 0.02749997 -0.234 -0.02947473 0.03222471 -0.234 -0.03044193 0.03319191 -0.2344 -0.03174996 0.03099989 -0.234 -0.02869826 0.02932691 -0.234 -0.02992302 0.03055167 -0.234 -0.02780169 0.032673 -0.234 -0.02824991 0.03409987 -0.2344 -0.03072482 0.03347486 -0.234 -0.02515006 0.03099989 -0.234 -0.02605789 0.03319191 -0.2344 -0.02824991 0.0345 -0.2344 -0.02577507 0.03347486 -0.234 -0.02702522 0.0297752 -0.234 -0.02605789 0.02880787 -0.2344 -0.02474999 0.03099989 -0.234 -0.02657693 0.03144824 -0.2344 -0.02577507 0.02852511 -0.236 -0.02869826 0.02932691 -0.236 -0.02992302 0.03055167 -0.236 -0.02702522 0.0297752 -0.236 -0.02657693 0.03144824 -0.236 -0.02780169 0.032673 -0.236 -0.02947473 0.03222471 -0.238 -0.02251493 0.03099989 -0.238 -0.02066415 0.03241407 -0.238 -0.02066421 0.02958571 -0.2401 -0.02066421 0.02958571 -0.238 -0.0215587 0.02869129 -0.238 -0.01783579 0.02958571 -0.2401 -0.01783579 0.02958571 -0.238 -0.01694118 0.03330868 -0.238 -0.01783573 0.03241413 -0.2401 -0.02066415 0.03241407 -0.238 -0.01924997 0.03426498 -0.238 -0.01598495 0.03099989 -0.2401 -0.01783573 0.03241413 -0.238 -0.01924997 0.02773499 -0.2379311 -0.02167618 0.02857375 -0.237765 -0.02274996 0.03099989 -0.238 -0.01694118 0.02869129 -0.237765 -0.01924997 0.02749997 -0.237765 -0.02172482 0.02852511 -0.237765 -0.01677513 0.02852511 -0.237765 -0.01574999 0.03099989 -0.2379311 -0.0168237 0.03342616 -0.238 -0.0215587 0.03330868 -0.237765 -0.01924997 0.0345 -0.237765 -0.01677513 0.03347486 -0.237765 -0.02172482 0.03347486 -0.2401 -0.01808327 0.03216665 -0.2401 -0.02041661 0.03216665 -0.2401 -0.01808327 0.02983319 -0.2401 -0.02041661 0.02983319 -0.248 -0.02041661 0.02983319 -0.248 -0.01808327 0.02983319 -0.248 -0.02041661 0.03216665 -0.248 -0.01808327 0.03216665 -0.234 -0.01924997 0.02790004 -0.234 -0.02234989 0.03099989 -0.234 -0.02144199 0.02880787 -0.2344 -0.02172482 0.02852511 -0.2344 -0.01924997 0.02749997 -0.234 -0.02047473 0.03222471 -0.234 -0.02144199 0.03319191 -0.2344 -0.02274996 0.03099989 -0.234 -0.01969826 0.02932691 -0.234 -0.02092295 0.03055167 -0.234 -0.01880162 0.032673 -0.234 -0.01924997 0.03409987 -0.2344 -0.02172482 0.03347486 -0.234 -0.01614999 0.03099989 -0.234 -0.01705795 0.03319191 -0.2344 -0.01924997 0.0345 -0.2344 -0.01677513 0.03347486 -0.234 -0.01802515 0.0297752 -0.234 -0.01705795 0.02880787 -0.2344 -0.01574999 0.03099989 -0.234 -0.01757693 0.03144824 -0.2344 -0.01677513 0.02852511 -0.236 -0.01969826 0.02932691 -0.236 -0.02092295 0.03055167 -0.236 -0.01802515 0.0297752 -0.236 -0.01757693 0.03144824 -0.236 -0.01880162 0.032673 -0.236 -0.02047473 0.03222471 -0.253 -0.04624992 -0.03226488 -0.253 -0.04483574 -0.03041416 -0.253 -0.04766416 -0.03041416 -0.2509 -0.04766416 -0.03041416 -0.253 -0.04855865 -0.03130865 -0.253 -0.04766416 -0.0275858 -0.2509 -0.04766416 -0.0275858 -0.253 -0.04394119 -0.02669119 -0.253 -0.04483568 -0.02758574 -0.2509 -0.04483574 -0.03041416 -0.253 -0.04298496 -0.02899998 -0.253 -0.04624992 -0.02573496 -0.2509 -0.04483568 -0.02758574 -0.253 -0.04951488 -0.02899998 -0.2530688 -0.04867619 -0.03142619 -0.253235 -0.04624992 -0.0324999 -0.253 -0.04855865 -0.02669119 -0.253235 -0.04974997 -0.02899998 -0.253235 -0.04872483 -0.03147476 -0.253235 -0.04872483 -0.02652508 -0.253235 -0.04624992 -0.02549993 -0.2530688 -0.04382371 -0.02657371 -0.253 -0.04394119 -0.03130865 -0.253235 -0.04275 -0.02899998 -0.253235 -0.04377508 -0.02652508 -0.253235 -0.04377508 -0.03147476 -0.2509 -0.04508322 -0.02783322 -0.2509 -0.04508322 -0.03016668 -0.2509 -0.04741662 -0.02783322 -0.2509 -0.04741662 -0.03016668 -0.243 -0.04741662 -0.03016668 -0.243 -0.04741662 -0.02783322 -0.243 -0.04508322 -0.03016668 -0.243 -0.04508322 -0.02783322 -0.257 -0.0493499 -0.02899998 -0.257 -0.04624992 -0.0320999 -0.257 -0.04844194 -0.031192 -0.2566 -0.04872483 -0.03147476 -0.2566 -0.04974997 -0.02899998 -0.257 -0.04502516 -0.03022474 -0.257 -0.04405796 -0.031192 -0.2566 -0.04624992 -0.0324999 -0.257 -0.04792296 -0.02944827 -0.257 -0.04669827 -0.03067296 -0.257 -0.04457694 -0.02855163 -0.257 -0.04315 -0.02899998 -0.2566 -0.04377508 -0.03147476 -0.257 -0.04624992 -0.02590006 -0.257 -0.04405796 -0.02680796 -0.2566 -0.04275 -0.02899998 -0.2566 -0.04377508 -0.02652508 -0.257 -0.04747474 -0.02777516 -0.257 -0.04844194 -0.02680796 -0.2566 -0.04624992 -0.02549993 -0.257 -0.04580163 -0.02732694 -0.2566 -0.04872483 -0.02652508 -0.255 -0.04792296 -0.02944827 -0.255 -0.04669827 -0.03067296 -0.255 -0.04747474 -0.02777516 -0.255 -0.04580163 -0.02732694 -0.255 -0.04457694 -0.02855163 -0.255 -0.04502516 -0.03022474 -0.253 -0.03724998 -0.03226488 -0.253 -0.0358358 -0.03041416 -0.253 -0.03866416 -0.03041416 -0.2509 -0.03866416 -0.03041416 -0.253 -0.03955864 -0.03130865 -0.253 -0.03866416 -0.0275858 -0.2509 -0.03866416 -0.0275858 -0.253 -0.03494119 -0.02669119 -0.253 -0.03583574 -0.02758574 -0.2509 -0.0358358 -0.03041416 -0.253 -0.03398489 -0.02899998 -0.253 -0.03724998 -0.02573496 -0.2509 -0.03583574 -0.02758574 -0.253 -0.04051488 -0.02899998 -0.2530688 -0.03967612 -0.03142619 -0.253235 -0.03724998 -0.0324999 -0.253 -0.03955864 -0.02669119 -0.253235 -0.0407499 -0.02899998 -0.253235 -0.03972476 -0.03147476 -0.253235 -0.03972476 -0.02652508 -0.253235 -0.03724998 -0.02549993 -0.2530688 -0.03482377 -0.02657371 -0.253 -0.03494119 -0.03130865 -0.253235 -0.03374993 -0.02899998 -0.253235 -0.03477501 -0.02652508 -0.253235 -0.03477501 -0.03147476 -0.2509 -0.03608322 -0.02783322 -0.2509 -0.03608322 -0.03016668 -0.2509 -0.03841668 -0.02783322 -0.2509 -0.03841668 -0.03016668 -0.243 -0.03841668 -0.03016668 -0.243 -0.03841668 -0.02783322 -0.243 -0.03608322 -0.03016668 -0.243 -0.03608322 -0.02783322 -0.257 -0.0403499 -0.02899998 -0.257 -0.03724998 -0.0320999 -0.257 -0.039442 -0.031192 -0.2566 -0.03972476 -0.03147476 -0.2566 -0.0407499 -0.02899998 -0.257 -0.03602516 -0.03022474 -0.257 -0.03505796 -0.031192 -0.2566 -0.03724998 -0.0324999 -0.257 -0.03892302 -0.02944827 -0.257 -0.0376982 -0.03067296 -0.257 -0.03557687 -0.02855163 -0.257 -0.03415006 -0.02899998 -0.2566 -0.03477501 -0.03147476 -0.257 -0.03724998 -0.02590006 -0.257 -0.03505796 -0.02680796 -0.2566 -0.03374993 -0.02899998 -0.2566 -0.03477501 -0.02652508 -0.257 -0.03847467 -0.02777516 -0.257 -0.039442 -0.02680796 -0.2566 -0.03724998 -0.02549993 -0.257 -0.03680163 -0.02732694 -0.2566 -0.03972476 -0.02652508 -0.255 -0.03892302 -0.02944827 -0.255 -0.0376982 -0.03067296 -0.255 -0.03847467 -0.02777516 -0.255 -0.03680163 -0.02732694 -0.255 -0.03557687 -0.02855163 -0.255 -0.03602516 -0.03022474 -0.2087601 -0.0101031 0.04349988 -0.2064514 -0.01041185 0.04349988 -0.2084514 -0.01241183 0.04349988 -0.2084514 -0.01241183 0.04139989 -0.2097164 -0.01241183 0.04349988 -0.2064514 -0.01441174 0.04349988 -0.2064514 -0.01441174 0.04139989 -0.2031863 -0.01241183 0.04349988 -0.2044514 -0.01241183 0.04349988 -0.2064514 -0.01041185 0.04139989 -0.2041427 -0.0101031 0.04349988 -0.2041427 -0.01472049 0.04349988 -0.2044514 -0.01241183 0.04139989 -0.2087601 -0.01472049 0.04349988 -0.2098826 -0.01241183 0.04356873 -0.2089263 -0.009936988 0.0437349 -0.2064514 -0.01567685 0.04349988 -0.2089263 -0.01488667 0.0437349 -0.2099514 -0.01241183 0.0437349 -0.2064514 -0.01591181 0.0437349 -0.2039765 -0.01488667 0.0437349 -0.2030202 -0.01241183 0.04356873 -0.2064514 -0.009146869 0.04349988 -0.2039765 -0.009936988 0.0437349 -0.2029514 -0.01241183 0.0437349 -0.2064514 -0.008911848 0.0437349 -0.2048014 -0.01241183 0.04139989 -0.2064514 -0.01076179 0.04139989 -0.2064514 -0.0140618 0.04139989 -0.2081014 -0.01241183 0.04139989 -0.2081014 -0.01241183 0.03349989 -0.2064514 -0.0140618 0.03349989 -0.2064514 -0.01076179 0.03349989 -0.2048014 -0.01241183 0.03349989 -0.2086434 -0.01460385 0.04749995 -0.2086434 -0.01021987 0.04749995 -0.2095513 -0.01241183 0.04749995 -0.2099514 -0.01241183 0.04709988 -0.2089263 -0.01488667 0.04709988 -0.2064514 -0.01067978 0.04749995 -0.2064514 -0.009311854 0.04749995 -0.2089263 -0.009936988 0.04709988 -0.2079514 -0.01327782 0.04749995 -0.2079514 -0.01154577 0.04749995 -0.2049514 -0.01154577 0.04749995 -0.2042593 -0.01021987 0.04749995 -0.2064514 -0.008911848 0.04709988 -0.2042593 -0.01460385 0.04749995 -0.2033514 -0.01241183 0.04749995 -0.2039765 -0.009936988 0.04709988 -0.2029514 -0.01241183 0.04709988 -0.2064514 -0.01414388 0.04749995 -0.2064514 -0.01551187 0.04749995 -0.2039765 -0.01488667 0.04709988 -0.2049514 -0.01327782 0.04749995 -0.2064514 -0.01591181 0.04709988 -0.2079514 -0.01327782 0.04549998 -0.2079514 -0.01154577 0.04549998 -0.2064514 -0.01414388 0.04549998 -0.2049514 -0.01327782 0.04549998 -0.2049514 -0.01154577 0.04549998 -0.2064514 -0.01067978 0.04549998 -0.1833746 -0.004483938 0.04349988 -0.1810659 -0.00479269 0.04349988 -0.1830658 -0.006792664 0.04349988 -0.1830658 -0.006792664 0.04139989 -0.1843308 -0.006792664 0.04349988 -0.1810659 -0.008792638 0.04349988 -0.1810659 -0.008792638 0.04139989 -0.1778008 -0.006792664 0.04349988 -0.1790658 -0.006792664 0.04349988 -0.1810659 -0.00479269 0.04139989 -0.1787571 -0.004483938 0.04349988 -0.1787571 -0.00910139 0.04349988 -0.1790658 -0.006792664 0.04139989 -0.1833746 -0.00910139 0.04349988 -0.1844971 -0.006792664 0.04356873 -0.1835408 -0.00431782 0.0437349 -0.1810659 -0.01005762 0.04349988 -0.1835408 -0.009267568 0.0437349 -0.1845659 -0.006792664 0.0437349 -0.1810659 -0.01029264 0.0437349 -0.178591 -0.009267568 0.0437349 -0.1776347 -0.006792664 0.04356873 -0.1810659 -0.003527641 0.04349988 -0.178591 -0.00431782 0.0437349 -0.1775659 -0.006792664 0.0437349 -0.1810659 -0.00329262 0.0437349 -0.1794159 -0.006792664 0.04139989 -0.1810659 -0.005142629 0.04139989 -0.1810659 -0.008442699 0.04139989 -0.1827158 -0.006792664 0.04139989 -0.1827158 -0.006792664 0.03349989 -0.1810659 -0.008442699 0.03349989 -0.1810659 -0.005142629 0.03349989 -0.1794159 -0.006792664 0.03349989 -0.1832578 -0.008984684 0.04749995 -0.1832578 -0.004600644 0.04749995 -0.1841658 -0.006792664 0.04749995 -0.1845659 -0.006792664 0.04709988 -0.1835408 -0.009267568 0.04709988 -0.1810659 -0.005060613 0.04749995 -0.1810659 -0.003692686 0.04749995 -0.1835408 -0.00431782 0.04709988 -0.1825659 -0.00765872 0.04749995 -0.1825659 -0.005926668 0.04749995 -0.1795659 -0.005926668 0.04749995 -0.1788738 -0.004600644 0.04749995 -0.1810659 -0.00329262 0.04709988 -0.1788738 -0.008984684 0.04749995 -0.1779659 -0.006792664 0.04749995 -0.178591 -0.00431782 0.04709988 -0.1775659 -0.006792664 0.04709988 -0.1810659 -0.008524715 0.04749995 -0.1810659 -0.009892702 0.04749995 -0.178591 -0.009267568 0.04709988 -0.1795659 -0.00765872 0.04749995 -0.1810659 -0.01029264 0.04709988 -0.1825659 -0.00765872 0.04549998 -0.1825659 -0.005926668 0.04549998 -0.1810659 -0.008524715 0.04549998 -0.1795659 -0.00765872 0.04549998 -0.1795659 -0.005926668 0.04549998 -0.1810659 -0.005060613 0.04549998 -0.2445 -0.01707631 -0.007514655 -0.2445 -0.01624435 -0.005312919 -0.2445 -0.01749998 9.99987e-4 -0.253 -0.01749998 9.99987e-4 -0.2445 -0.01722925 0.01067471 -0.2445 -0.01624435 0.007312834 -0.253 -0.01624435 0.007312834 -0.2445 -0.01838845 0.006346762 -0.2445 -0.01384162 -0.01839619 -0.2445 -0.012667 -0.0106669 -0.253 -0.01624435 -0.005312919 -0.2445 -0.01067471 -0.01522928 -0.2445 -0.007312834 -0.01424425 -0.253 -0.012667 -0.0106669 -0.2445 -0.006346762 -0.01638847 -0.2445 -9.99987e-4 -0.01549988 -0.253 -0.007312834 -0.01424425 -0.2445 0.003634691 -0.01731687 -0.2445 0.005312919 -0.01424425 -0.253 -9.99987e-4 -0.01549988 -0.2445 0.003634691 -0.02179563 -0.2445 -9.99987e-4 -0.03399991 -0.2445 0.007514655 -0.01507622 -0.2445 0.0106669 -0.0106669 -0.253 0.005312919 -0.01424425 -0.2445 0.01139456 -0.01731687 -0.2445 0.01424425 -0.005312919 -0.253 0.0106669 -0.0106669 -0.2445 0.01522928 -0.00867474 -0.2445 0.01549988 9.99987e-4 -0.253 0.01424425 -0.005312919 -0.2445 0.01650089 -0.02930992 -0.2445 0.01507622 0.009514689 -0.2445 0.01424425 0.007312834 -0.253 0.01549988 9.99987e-4 -0.2445 0.01638847 -0.004346847 -0.2445 0.01184165 0.02039623 -0.2445 0.0106669 0.012667 -0.253 0.01424425 0.007312834 -0.2445 0.00867474 0.01722925 -0.2445 0.005312919 0.01624435 -0.253 0.0106669 0.012667 -0.2445 0.004346847 0.01838845 -0.2445 -9.99987e-4 0.01749998 -0.253 0.005312919 0.01624435 -0.2445 -0.00563544 0.01931571 -0.2445 -0.007312834 0.01624435 -0.253 -9.99987e-4 0.01749998 -0.2445 -0.00563544 0.02379685 -0.2445 -9.99987e-4 0.03599995 -0.2445 -0.009514689 0.01707631 -0.2445 -0.012667 0.012667 -0.253 -0.007312834 0.01624435 -0.2445 -0.01339375 0.01931571 -0.253 -0.012667 0.012667 -0.2445 -0.01782095 0.0318244 -0.2445 -0.01339375 0.02379685 -0.2445 -0.009514689 0.02603632 -0.24683 -0.009514689 0.02370625 -0.24683 -0.00765264 0.02263122 -0.24683 -0.01137655 0.02263122 -0.24683 -0.01137655 0.02048122 -0.24683 -0.009514689 0.01940625 -0.24683 -0.00765264 0.02048122 -0.2445 0.00635457 0.02588319 -0.2445 0.01068252 0.02472412 -0.24683 0.009034931 0.02307659 -0.24683 0.0095914 0.02099978 -0.2445 0.01650089 0.03131002 -0.2445 0.003187716 0.02271634 -0.24683 0.006958186 0.02363306 -0.24683 0.00543791 0.02211266 -0.24683 0.005994379 0.02003604 -0.24683 0.008071124 0.01947957 -0.2445 0.02179563 0.01339459 -0.2445 0.02403622 0.009514689 -0.24683 0.02170628 0.009514689 -0.2445 0.02388328 -0.00635457 -0.2445 0.02179563 0.005634725 -0.24683 0.02063131 0.00765264 -0.2445 0.02930992 -0.01650089 -0.2445 0.02930992 0.01850092 -0.2445 0.01731687 0.01339459 -0.24683 0.02063131 0.01137655 -0.24683 0.01848131 0.01137655 -0.2445 0.01731687 0.005634725 -0.24683 0.01740628 0.009514689 -0.2445 0.0207163 -0.003187716 -0.24683 0.01848131 0.00765264 -0.2445 0.02272415 -0.01068252 -0.24683 0.02107656 -0.009034931 -0.2445 0.01839619 -0.01184165 -0.24683 0.01899981 -0.0095914 -0.24683 0.02163296 -0.006958186 -0.24683 0.02011275 -0.00543791 -0.24683 0.01803594 -0.005994379 -0.24683 0.01747947 -0.008071124 -0.2445 0.01139456 -0.02179563 -0.2445 0.007514655 -0.02403622 -0.24683 0.007514655 -0.02170628 -0.24683 0.005652725 -0.02063131 -0.24683 0.009376645 -0.02063131 -0.24683 0.009376645 -0.01848131 -0.24683 0.007514655 -0.01740628 -0.24683 0.005652725 -0.01848131 -0.2445 -0.008354604 -0.02388328 -0.2445 -0.01268243 -0.02272415 -0.24683 -0.0110349 -0.02107656 -0.24683 -0.01159143 -0.01899981 -0.2445 -0.01782095 -0.02817547 -0.2445 -0.00518769 -0.0207163 -0.24683 -0.00895822 -0.02163296 -0.24683 -0.007437944 -0.02011275 -0.24683 -0.007994413 -0.01803594 -0.24683 -0.01007109 -0.01747947 -0.2445 -0.02067893 -0.02982443 -0.2445 -0.02379566 -0.01139456 -0.2445 -0.02603632 -0.007514655 -0.24683 -0.02370625 -0.007514655 -0.2445 -0.02588319 0.008354604 -0.2445 -0.02379566 -0.003634691 -0.24683 -0.02263122 -0.005652725 -0.2445 -0.02682089 0.0318244 -0.2445 -0.02682089 0.03017544 -0.2445 -0.02682089 -0.02817547 -0.2445 -0.02067893 -0.02817547 -0.2445 -0.01931697 -0.01139456 -0.24683 -0.02263122 -0.009376645 -0.24683 -0.02048122 -0.009376645 -0.2445 -0.01924997 -0.02734988 -0.2445 -0.01931697 -0.003634691 -0.24683 -0.01940625 -0.007514655 -0.2445 -0.02271634 0.00518769 -0.24683 -0.02048122 -0.005652725 -0.2445 -0.02472412 0.01268243 -0.24683 -0.02307659 0.0110349 -0.2445 -0.02067893 0.03017544 -0.2445 -0.02039623 0.01384162 -0.24683 -0.02099978 0.01159143 -0.24683 -0.02363306 0.00895822 -0.24683 -0.02211266 0.007437944 -0.24683 -0.02003604 0.007994413 -0.2445 -0.01924997 0.02934998 -0.24683 -0.01947957 0.01007109 -0.2445 -0.01782095 0.03017544 -0.2445 -0.04978525 0.03453522 -0.2445 -0.04811203 0.03207433 -0.2445 -0.04624992 0.03314989 -0.253 -0.04624992 0.03314989 -0.2445 -0.04624992 0.03599995 -0.2445 -0.04438787 0.03207433 -0.253 -0.04438787 0.03207433 -0.2445 -0.04811203 0.02992564 -0.253 -0.04811203 0.03207433 -0.2445 -0.04276561 0.00948596 -0.2445 -0.04624992 0.02884989 -0.253 -0.04811203 0.02992564 -0.2445 -0.04438787 0.02992564 -0.253 -0.04624992 0.02884989 -0.253 -0.04438787 0.02992564 -0.2445 -0.03911203 0.02992564 -0.2445 -0.03925031 9.99987e-4 -0.2445 -0.03911203 0.03207433 -0.2445 -0.03724998 0.03314989 -0.253 -0.03724998 0.03314989 -0.2445 -0.029679 0.03017544 -0.2445 -0.03538793 0.03207433 -0.253 -0.03538793 0.03207433 -0.2445 -0.029679 0.0318244 -0.253 -0.03911203 0.03207433 -0.2445 -0.03724998 -0.02684998 -0.2445 -0.03724998 0.02884989 -0.253 -0.03911203 0.02992564 -0.2445 -0.03911203 -0.02792567 -0.2445 -0.03538793 -0.02792567 -0.2445 -0.03538793 0.02992564 -0.253 -0.03724998 0.02884989 -0.2445 -0.029679 -0.02982443 -0.253 -0.03538793 0.02992564 -0.2445 -0.029679 -0.02817547 -0.2445 -0.02067893 0.0318244 -0.2445 -0.01924997 0.03264999 -0.253 -0.01924997 0.03264999 -0.253 -0.01782095 0.0318244 -0.2445 -0.02824991 0.03264999 -0.253 -0.02067893 0.0318244 -0.253 -0.02067893 0.03017544 -0.253 -0.01924997 0.02934998 -0.253 -0.01782095 0.03017544 -0.253 -0.02824991 0.03264999 -0.253 -0.02682089 0.0318244 -0.253 -0.029679 0.0318244 -0.2445 -0.02824991 -0.02734988 -0.2445 -0.02824991 0.02934998 -0.253 -0.029679 0.03017544 -0.253 -0.02824991 0.02934998 -0.253 -0.02682089 0.03017544 -0.2445 -0.03724998 -0.03114998 -0.2445 -0.04438787 -0.03007423 -0.2445 -0.04624992 -0.03114998 -0.253 -0.04624992 -0.03114998 -0.2445 -0.04624992 -0.03399991 -0.2445 -0.04811203 -0.03007423 -0.253 -0.04811203 -0.03007423 -0.2445 -0.04438787 -0.02792567 -0.253 -0.04438787 -0.03007423 -0.2445 -0.05124998 -0.01099991 -0.2445 -0.04624992 -0.02684998 -0.253 -0.04438787 -0.02792567 -0.2445 -0.03911203 -0.03007423 -0.2445 -0.04276561 -0.007485926 -0.2445 -0.04811203 -0.02792567 -0.253 -0.04624992 -0.02684998 -0.253 -0.04811203 -0.02792567 -0.2445 -0.04978525 -0.03253531 -0.2445 -0.03538793 -0.03007423 -0.253 -0.03724998 -0.03114998 -0.253 -0.03911203 -0.03007423 -0.2445 -0.02824991 -0.03064996 -0.253 -0.03538793 -0.03007423 -0.253 -0.03538793 -0.02792567 -0.253 -0.03724998 -0.02684998 -0.253 -0.03911203 -0.02792567 -0.2445 -0.01782095 -0.02982443 -0.2445 -0.01924997 -0.03064996 -0.253 -0.01924997 -0.03064996 -0.253 -0.02067893 -0.02982443 -0.2445 -0.02682089 -0.02982443 -0.253 -0.01782095 -0.02982443 -0.253 -0.01782095 -0.02817547 -0.253 -0.01924997 -0.02734988 -0.253 -0.02067893 -0.02817547 -0.253 -0.02824991 -0.03064996 -0.253 -0.029679 -0.02982443 -0.253 -0.02682089 -0.02982443 -0.253 -0.02682089 -0.02817547 -0.253 -0.02824991 -0.02734988 -0.253 -0.029679 -0.02817547 -0.2445 -0.05124998 0.01299995 -0.2445 -0.05271458 0.02146464 -0.2445 -0.05624991 0.01999998 -0.253 -0.05624991 0.01999998 -0.2445 -0.0625 0.01999998 -0.2445 -0.05124998 0.02499997 -0.253 -0.05271458 0.02146464 -0.2445 -0.05124998 0.03099989 -0.253 -0.05124998 0.02499997 -0.253 -0.05124998 0.03099989 -0.253 -0.04978525 0.03453522 -0.253 -0.04624992 0.03599995 -0.253 -9.99987e-4 0.03599995 -0.253 0.01650089 0.03131002 -0.2445 0.03399991 9.99987e-4 -0.253 0.02930992 0.01850092 -0.253 0.03399991 9.99987e-4 -0.253 0.02930992 -0.01650089 -0.253 0.01650089 -0.02930992 -0.253 -9.99987e-4 -0.03399991 -0.253 -0.04624992 -0.03399991 -0.2445 -0.05124998 -0.023 -0.2445 -0.05124998 -0.02899998 -0.253 -0.04978525 -0.03253531 -0.253 -0.05124998 -0.02899998 -0.2445 -0.05271458 -0.01946467 -0.253 -0.05124998 -0.023 -0.2445 -0.0625 -0.01099991 -0.2445 -0.05624991 -0.01799988 -0.253 -0.05271458 -0.01946467 -0.2445 -0.0625 -0.01799988 -0.2705 -0.0625 -0.01799988 -0.253 -0.05624991 -0.01799988 -0.2705 -0.0625 -0.01099991 -0.253 -0.05124998 -0.01099991 -0.2541717 -0.05007821 -0.01099991 -0.2684995 -0.0569635 -0.01099991 -0.2665 -0.05349993 -0.01099991 -0.261139 -0.0506916 -0.01099991 -0.259101 -0.05124998 -0.01099991 -0.257 -0.05124998 -0.01099991 -0.253 -0.04276561 -0.007485926 -0.253 -0.03925031 9.99987e-4 -0.253 -0.04276561 0.00948596 -0.2445 -0.0625 0.01299995 -0.2705 -0.0625 0.01299995 -0.253 -0.05124998 0.01299995 -0.2705 -0.0625 0.01999998 -0.261139 -0.0506916 0.01999998 -0.2665 -0.05349993 0.01999998 -0.2685 -0.05696403 0.01999998 -0.253 -0.01137667 0.02263063 -0.253 -0.00765264 0.02048194 -0.253 -0.009514689 0.01940625 -0.253 -0.01137667 0.02048194 -0.253 -0.002249956 0.01983493 -0.253 -0.003499925 0.02199995 -0.253 0.001499891 0.02199995 -0.253 2.5e-4 0.01983493 -0.253 0.0095914 0.02099978 -0.253 0.008071124 0.01947957 -0.253 0.005994379 0.02003604 -0.253 0.00543791 0.02211266 -0.253 0.009376645 -0.02063131 -0.253 0.005652725 -0.01848131 -0.253 0.007514655 -0.01740628 -0.253 0.009376645 -0.01848131 -0.253 2.5e-4 -0.0178349 -0.253 0.001499891 -0.01999998 -0.253 -0.003499925 -0.01999998 -0.253 -0.002249956 -0.0178349 -0.253 -0.01159143 -0.01899981 -0.253 -0.01007109 -0.01747947 -0.253 -0.007994413 -0.01803594 -0.253 -0.007437944 -0.02011275 -0.253 -0.00765264 0.02263063 -0.253 -0.009514689 0.02370625 -0.253 0.009034931 0.02307659 -0.253 0.006958186 0.02363306 -0.253 0.01999998 0.003499925 -0.253 0.02063131 0.00765264 -0.253 0.02170628 0.009514689 -0.253 0.02063131 0.01137655 -0.253 0.02216506 0.002249956 -0.253 0.01848131 0.00765264 -0.253 0.0178349 0.002249956 -0.253 0.01740628 0.009514689 -0.253 0.01848131 0.01137655 -0.253 0.01747947 -0.008071124 -0.253 0.01899981 -0.0095914 -0.253 0.02107656 -0.009034931 -0.253 0.02163296 -0.006958186 -0.253 0.0178349 -2.5e-4 -0.253 0.01803594 -0.005994379 -0.253 0.01999998 -0.001499891 -0.253 0.02011275 -0.00543791 -0.253 0.02216506 -2.5e-4 -0.253 0.005652725 -0.02063131 -0.253 0.007514655 -0.02170628 -0.253 -0.0110349 -0.02107656 -0.253 -0.00895822 -0.02163296 -0.253 -0.02199995 -0.001499891 -0.253 -0.02263122 -0.005652725 -0.253 -0.02370625 -0.007514655 -0.253 -0.02263122 -0.009376645 -0.253 -0.02416503 -2.5e-4 -0.253 -0.02048122 -0.005652725 -0.253 -0.01983493 -2.5e-4 -0.253 -0.01940625 -0.007514655 -0.253 -0.02048122 -0.009376645 -0.253 -0.01947957 0.01007109 -0.253 -0.02099978 0.01159143 -0.253 -0.02307659 0.0110349 -0.253 -0.02363306 0.00895822 -0.253 -0.01983493 0.002249956 -0.253 -0.02003604 0.007994413 -0.253 -0.02199995 0.003499925 -0.253 -0.02211266 0.007437944 -0.253 -0.02416503 0.002249956 -0.253 -0.04724997 0.01299995 -0.253 -0.04724997 0.01999998 -0.253 -0.04724997 -0.01799988 -0.253 -0.002249956 -0.02216506 -0.2541717 -0.05007821 0.01999998 -0.259101 -0.05124998 0.01999998 -0.257 -0.05124998 0.01999998 -0.2541717 -0.05007821 0.01299995 -0.253 -0.04724997 -0.01099991 -0.2541717 -0.05007821 -0.01799988 -0.253 2.5e-4 -0.02216506 -0.253 2.5e-4 0.02416503 -0.253 -0.002249956 0.02416503 -0.2485 0.01999998 0.003499925 -0.2485 0.01783484 0.002249181 -0.2485 0.02216506 0.002249181 -0.2485 0.02216506 -2.4922e-4 -0.2485 0.01999998 -0.001499891 -0.2485 0.01783484 -2.4922e-4 -0.2485 0.001499891 -0.01999998 -0.2485 2.4922e-4 -0.01783484 -0.2485 2.4922e-4 -0.02216506 -0.2485 -0.002249181 -0.02216506 -0.2485 -0.003499925 -0.01999998 -0.2485 -0.002249181 -0.01783484 -0.2485 -0.02199995 -0.001499891 -0.2485 -0.01983481 -2.4922e-4 -0.2485 -0.02416515 -2.4922e-4 -0.2485 -0.02416515 0.002249181 -0.2485 -0.02199995 0.003499925 -0.2485 -0.01983481 0.002249181 -0.2485 -0.003499925 0.02199995 -0.2485 -0.002249181 0.01983481 -0.2485 -0.002249181 0.02416515 -0.2485 2.4922e-4 0.02416515 -0.2485 0.001499891 0.02199995 -0.2485 2.4922e-4 0.01983481 -0.2756922 -0.04614913 -0.01799988 -0.2725 -0.05003589 -0.01799988 -0.2745 -0.05349993 -0.01799988 -0.2745 -0.05349993 -0.01099991 -0.2772141 -0.05949318 -0.01799988 -0.2725 -0.05696403 -0.01799988 -0.2725005 -0.0569635 -0.01099991 -0.2684723 -0.04473143 -0.01799988 -0.2685 -0.05003589 -0.01799988 -0.2725005 -0.05003643 -0.01099991 -0.2665 -0.05349993 -0.01799988 -0.2684995 -0.05003643 -0.01099991 -0.2685 -0.05696403 -0.01799988 -0.2626084 -0.04917299 -0.01799988 -0.257 -0.05124998 -0.01799988 -0.259101 -0.05124998 -0.01799988 -0.261139 -0.0506916 -0.01799988 -0.2626084 -0.04917299 -0.01099991 -0.2684723 -0.04473143 -0.01099991 -0.2794418 -0.05248045 -0.01799988 -0.2756922 -0.04614913 -0.01099991 -0.2794418 -0.05248045 -0.01099991 -0.2772141 -0.05949318 -0.01099991 -0.2725 -0.05696403 0.01999998 -0.2745 -0.05349993 0.01999998 -0.2745 -0.05349993 0.01299995 -0.275693 -0.04614925 0.01999998 -0.2725 -0.05003589 0.01999998 -0.2725005 -0.05003643 0.01299995 -0.277215 -0.0594924 0.01999998 -0.2725005 -0.0569635 0.01299995 -0.2684995 -0.0569635 0.01299995 -0.2684735 -0.04473108 0.01999998 -0.2685 -0.05003589 0.01999998 -0.2665 -0.05349993 0.01299995 -0.2626084 -0.04917299 0.01999998 -0.2684995 -0.05003643 0.01299995 -0.279442 -0.05247998 0.01999998 -0.2772141 -0.05949318 0.01299995 -0.2794418 -0.05248045 0.01299995 -0.2756922 -0.04614913 0.01299995 -0.2684723 -0.04473143 0.01299995 -0.2626084 -0.04917299 0.01299995 -0.261139 -0.0506916 0.01299995 -0.257 -0.05124998 0.01299995 -0.259101 -0.05124998 0.01299995 -0.02270609 0.001921892 -0.03099989 -0.0182057 0.001871049 -0.03099989 -0.01600027 -0.002050817 -0.03099989 -0.01550024 -0.002056479 -0.03049999 -0.01889073 -4.27528e-4 -0.03099989 -0.01825004 -0.002025425 -0.03099989 -0.01829379 -0.0059219 -0.03099989 -0.01804906 -0.006358087 -0.03049999 -0.01795113 0.002301514 -0.03049999 -0.02274984 -0.001974523 -0.03099989 -0.02499961 -0.001949012 -0.03099989 -0.02295082 0.002358019 -0.03049999 -0.02207309 -3.91542e-4 -0.03099989 -0.02047455 2.49677e-4 -0.03099989 -0.02279418 -0.005871057 -0.03099989 -0.02549964 -0.001943409 -0.03049999 -0.02210915 -0.003572404 -0.03099989 -0.02304875 -0.006301522 -0.03049999 -0.01892673 -0.003608345 -0.03099989 -0.02052539 -0.004249632 -0.03099989 -0.01825004 -0.002025425 -0.01899999 -0.01889109 -4.27101e-4 -0.01899999 -0.01892703 -0.003608763 -0.01899999 -0.02052539 -0.004249811 -0.01899999 -0.02210885 -0.003572881 -0.01899999 -0.02274984 -0.001974523 -0.01899999 -0.02207285 -3.91122e-4 -0.01899999 -0.02047455 2.49856e-4 -0.01899999 -0.0182057 0.001871049 0.03299999 -0.02270609 0.001921892 0.03299999 -0.02499961 -0.001949012 0.03299999 -0.02549964 -0.001943409 0.0324999 -0.02207309 -3.91542e-4 0.03299999 -0.02274984 -0.001974523 0.03299999 -0.02279418 -0.005871057 0.03299999 -0.02304875 -0.006301522 0.0324999 -0.02295082 0.002358019 0.0324999 -0.01825004 -0.002025425 0.03299999 -0.01600027 -0.002050817 0.03299999 -0.01795113 0.002301514 0.0324999 -0.01889073 -4.27528e-4 0.03299999 -0.02047455 2.49677e-4 0.03299999 -0.01829379 -0.0059219 0.03299999 -0.01550024 -0.002056479 0.0324999 -0.01892673 -0.003608345 0.03299999 -0.01804906 -0.006358087 0.0324999 -0.02210915 -0.003572404 0.03299999 -0.02052539 -0.004249632 0.03299999 -0.01825004 -0.002025425 0.0209999 -0.01892703 -0.003608763 0.0209999 -0.01889109 -4.27101e-4 0.0209999 -0.02047455 2.49856e-4 0.0209999 -0.02207285 -3.91122e-4 0.0209999 -0.02274984 -0.001974523 0.0209999 -0.02210885 -0.003572881 0.0209999 -0.02052539 -0.004249811 0.0209999 -0.0205 -0.001999974 0.01964801 -0.0205 -0.001999974 -0.01764804 0.002828121 -0.03292137 0.05779999 -0.002828121 -0.03292137 0.05779999 -0.003999948 -0.03574997 0.05779999 -0.003999948 -0.03574997 0.0575 0 -0.03430652 0.05779999 -0.001249969 -0.03647166 0.05779999 -0.002828121 -0.03857851 0.05779999 -0.002828419 -0.03857839 0.0575 -0.001249969 -0.03502821 0.05779999 0 -0.03175002 0.05779999 -0.002828419 -0.03292155 0.0575 0 -0.03174996 0.0575 0.001249969 -0.03502821 0.05779999 0.003999948 -0.03574997 0.05779999 0.002828419 -0.03292155 0.0575 0.002828121 -0.03857851 0.05779999 0.003999948 -0.03574997 0.0575 0 -0.03719329 0.05779999 0.001249969 -0.03647166 0.05779999 0 -0.03974992 0.05779999 0.002828419 -0.03857839 0.0575 0 -0.03974992 0.0575 -0.001249969 -0.03647166 0.05599999 -0.001249969 -0.03502821 0.05599999 0 -0.03719329 0.05599999 0.001249969 -0.03647166 0.05599999 0.001249969 -0.03502821 0.05599999 0 -0.03430652 0.05599999 0.001999974 -0.03574997 0.05549997 0.00141412 -0.03433573 0.05549997 0.00141412 -0.03716421 0.05549997 0 -0.03774988 0.05549997 -0.00141412 -0.03716421 0.05549997 -0.001999974 -0.03574997 0.05549997 0.001999974 -0.03574997 0.05339998 0 -0.03374993 0.05339998 0 -0.03774988 0.05339998 -0.001999974 -0.03574997 0.05339998 -0.00141412 -0.03433573 0.05549997 0.001649916 -0.03574997 0.05339998 0 -0.03409999 0.05339998 0 -0.03739982 0.05339998 -0.001649916 -0.03574997 0.05339998 0 -0.03374993 0.05549997 -0.001649916 -0.03574997 0.03779995 0 -0.03739982 0.03779995 0 -0.03409999 0.03779995 0.001649916 -0.03574997 0.03779995 -0.02245086 -0.02245038 0.05779999 -0.02810722 -0.02245038 0.05779999 -0.02927905 -0.02527904 0.05779999 -0.02927905 -0.02527904 0.0575 -0.02527904 -0.02383559 0.05779999 -0.02652907 -0.02600067 0.05779999 -0.02810722 -0.02810764 0.05779999 -0.02810746 -0.02810746 0.0575 -0.02652907 -0.02455735 0.05779999 -0.02527904 -0.02127903 0.05779999 -0.02810746 -0.02245062 0.0575 -0.02527904 -0.02127897 0.0575 -0.02402901 -0.02455735 0.05779999 -0.02127897 -0.02527904 0.05779999 -0.02245062 -0.02245062 0.0575 -0.02245086 -0.02810764 0.05779999 -0.02127897 -0.02527904 0.0575 -0.02527904 -0.02672243 0.05779999 -0.02402901 -0.02600067 0.05779999 -0.02527904 -0.02927899 0.05779999 -0.02245062 -0.02810746 0.0575 -0.02527904 -0.02927905 0.0575 -0.02652907 -0.02600067 0.05599999 -0.02652907 -0.02455735 0.05599999 -0.02527904 -0.02672243 0.05599999 -0.02402901 -0.02600067 0.05599999 -0.02402901 -0.02455735 0.05599999 -0.02527904 -0.02383559 0.05599999 -0.02327907 -0.02527904 0.05549997 -0.0238648 -0.0238648 0.05549997 -0.0238648 -0.02669328 0.05549997 -0.02527904 -0.02727895 0.05549997 -0.02669328 -0.02669328 0.05549997 -0.02727895 -0.02527904 0.05549997 -0.02327907 -0.02527904 0.05339998 -0.02527904 -0.02327907 0.05339998 -0.02527904 -0.02727895 0.05339998 -0.02727895 -0.02527904 0.05339998 -0.02669328 -0.0238648 0.05549997 -0.023629 -0.02527904 0.05339998 -0.02527904 -0.02362906 0.05339998 -0.02527904 -0.02692896 0.05339998 -0.02692902 -0.02527904 0.05339998 -0.02527904 -0.02327907 0.05549997 -0.02692902 -0.02527904 0.03779995 -0.02527904 -0.02692896 0.03779995 -0.02527904 -0.02362906 0.03779995 -0.023629 -0.02527904 0.03779995 0.002828121 -0.03857851 -0.05579996 -0.002828121 -0.03857851 -0.05579996 -0.003999948 -0.03574997 -0.05579996 -0.003999948 -0.03574997 -0.05549997 0 -0.03719329 -0.05579996 -0.001249969 -0.03502821 -0.05579996 -0.002828121 -0.03292137 -0.05579996 -0.002828419 -0.03292155 -0.05549997 -0.001249969 -0.03647166 -0.05579996 0 -0.03974992 -0.05579996 -0.002828419 -0.03857839 -0.05549997 0 -0.03974992 -0.05549997 0.001249969 -0.03647166 -0.05579996 0.003999948 -0.03574997 -0.05579996 0.002828419 -0.03857839 -0.05549997 0.002828121 -0.03292137 -0.05579996 0.003999948 -0.03574997 -0.05549997 0 -0.03430652 -0.05579996 0.001249969 -0.03502821 -0.05579996 0 -0.03175002 -0.05579996 0.002828419 -0.03292155 -0.05549997 0 -0.03174996 -0.05549997 -0.001249969 -0.03502821 -0.05399996 -0.001249969 -0.03647166 -0.05399996 0 -0.03430652 -0.05399996 0.001249969 -0.03502821 -0.05399996 0.001249969 -0.03647166 -0.05399996 0 -0.03719329 -0.05399996 0.001999974 -0.03574997 -0.05349993 0.00141412 -0.03716421 -0.05349993 0.00141412 -0.03433573 -0.05349993 0 -0.03374993 -0.05349993 -0.00141412 -0.03433573 -0.05349993 -0.001999974 -0.03574997 -0.05349993 0.001999974 -0.03574997 -0.05139994 0 -0.03774988 -0.05139994 0 -0.03374993 -0.05139994 -0.001999974 -0.03574997 -0.05139994 -0.00141412 -0.03716421 -0.05349993 0.001649916 -0.03574997 -0.05139994 0 -0.03739982 -0.05139994 0 -0.03409999 -0.05139994 -0.001649916 -0.03574997 -0.05139994 0 -0.03774988 -0.05349993 -0.001649916 -0.03574997 -0.03579998 0 -0.03409999 -0.03579998 0 -0.03739982 -0.03579998 0.001649916 -0.03574997 -0.03579998 -0.02245086 -0.02810764 -0.05579996 -0.02810722 -0.02810764 -0.05579996 -0.02927905 -0.02527904 -0.05579996 -0.02927905 -0.02527904 -0.05549997 -0.02527904 -0.02672243 -0.05579996 -0.02652907 -0.02455735 -0.05579996 -0.02810722 -0.02245038 -0.05579996 -0.02810746 -0.02245062 -0.05549997 -0.02652907 -0.02600067 -0.05579996 -0.02527904 -0.02927899 -0.05579996 -0.02810746 -0.02810746 -0.05549997 -0.02527904 -0.02927905 -0.05549997 -0.02402901 -0.02600067 -0.05579996 -0.02127897 -0.02527904 -0.05579996 -0.02245062 -0.02810746 -0.05549997 -0.02245086 -0.02245038 -0.05579996 -0.02127897 -0.02527904 -0.05549997 -0.02527904 -0.02383559 -0.05579996 -0.02402901 -0.02455735 -0.05579996 -0.02527904 -0.02127903 -0.05579996 -0.02245062 -0.02245062 -0.05549997 -0.02527904 -0.02127897 -0.05549997 -0.02652907 -0.02455735 -0.05399996 -0.02652907 -0.02600067 -0.05399996 -0.02527904 -0.02383559 -0.05399996 -0.02402901 -0.02455735 -0.05399996 -0.02402901 -0.02600067 -0.05399996 -0.02527904 -0.02672243 -0.05399996 -0.02327907 -0.02527904 -0.05349993 -0.0238648 -0.02669328 -0.05349993 -0.0238648 -0.0238648 -0.05349993 -0.02527904 -0.02327907 -0.05349993 -0.02669328 -0.0238648 -0.05349993 -0.02727895 -0.02527904 -0.05349993 -0.02327907 -0.02527904 -0.05139994 -0.02527904 -0.02727895 -0.05139994 -0.02527904 -0.02327907 -0.05139994 -0.02727895 -0.02527904 -0.05139994 -0.02669328 -0.02669328 -0.05349993 -0.023629 -0.02527904 -0.05139994 -0.02527904 -0.02692896 -0.05139994 -0.02527904 -0.02362906 -0.05139994 -0.02692902 -0.02527904 -0.05139994 -0.02527904 -0.02727895 -0.05349993 -0.02692902 -0.02527904 -0.03579998 -0.02527904 -0.02362906 -0.03579998 -0.02527904 -0.02692896 -0.03579998 -0.023629 -0.02527904 -0.03579998 0.002828538 0.03857821 0.04979991 -0.002828538 0.03857821 0.04979991 -0.003999948 0.03574997 0.04979991 -0.003999948 0.03574997 0.04949992 0 0.03719329 0.04979991 -0.001249969 0.03502821 0.04979991 -0.002828538 0.03292173 0.04979991 -0.002828419 0.03292155 0.04949992 -0.001249969 0.03647166 0.04979991 0 0.03974992 0.04979991 -0.002828419 0.03857839 0.04949992 0 0.03974992 0.04949992 0.001249969 0.03647166 0.04979991 0.003999948 0.03574997 0.04979991 0.002828419 0.03857839 0.04949992 0.002828538 0.03292173 0.04979991 0.003999948 0.03574997 0.04949992 0 0.03430652 0.04979991 0.001249969 0.03502821 0.04979991 0 0.03175002 0.04979991 0.002828419 0.03292155 0.04949992 0 0.03174996 0.04949992 -0.001249969 0.03502821 0.04799991 -0.001249969 0.03647166 0.04799991 0 0.03430652 0.04799991 0.001249969 0.03502821 0.04799991 0.001249969 0.03647166 0.04799991 0 0.03719329 0.04799991 0.001999974 0.03574997 0.04749995 0.00141412 0.03716421 0.04749995 0.00141412 0.03433573 0.04749995 0 0.03374993 0.04749995 -0.00141412 0.03433573 0.04749995 -0.001999974 0.03574997 0.04749995 0.001999974 0.03574997 0.04539996 0 0.03774988 0.04539996 0 0.03374993 0.04539996 -0.001999974 0.03574997 0.04539996 -0.00141412 0.03716421 0.04749995 0.001649916 0.03574997 0.04539996 0 0.03739988 0.04539996 0 0.03409993 0.04539996 -0.001649916 0.03574997 0.04539996 0 0.03774988 0.04749995 -0.001649916 0.03574997 0.03779995 0 0.03409993 0.03779995 0 0.03739988 0.03779995 0.001649916 0.03574997 0.03779995 0.02810758 0.02810728 0.04979991 0.02245044 0.02810728 0.04979991 0.02127897 0.02527904 0.04979991 0.02127897 0.02527904 0.04949992 0.02527904 0.02672243 0.04979991 0.02402901 0.02455735 0.04979991 0.02245044 0.0224508 0.04979991 0.02245062 0.02245062 0.04949992 0.02402901 0.02600067 0.04979991 0.02527904 0.02927899 0.04979991 0.02245062 0.02810746 0.04949992 0.02527904 0.02927905 0.04949992 0.02652907 0.02600067 0.04979991 0.02927905 0.02527904 0.04979991 0.02810746 0.02810746 0.04949992 0.02810758 0.0224508 0.04979991 0.02927905 0.02527904 0.04949992 0.02527904 0.02383559 0.04979991 0.02652907 0.02455735 0.04979991 0.02527904 0.02127903 0.04979991 0.02810746 0.02245062 0.04949992 0.02527904 0.02127897 0.04949992 0.02402901 0.02455735 0.04799991 0.02402901 0.02600067 0.04799991 0.02527904 0.02383559 0.04799991 0.02652907 0.02455735 0.04799991 0.02652907 0.02600067 0.04799991 0.02527904 0.02672243 0.04799991 0.02727895 0.02527904 0.04749995 0.02669328 0.02669328 0.04749995 0.02669328 0.0238648 0.04749995 0.02527904 0.02327907 0.04749995 0.0238648 0.0238648 0.04749995 0.02327907 0.02527904 0.04749995 0.02727895 0.02527904 0.04539996 0.02527904 0.02727895 0.04539996 0.02527904 0.02327907 0.04539996 0.02327907 0.02527904 0.04539996 0.0238648 0.02669328 0.04749995 0.02692902 0.02527904 0.04539996 0.02527904 0.02692902 0.04539996 0.02527904 0.023629 0.04539996 0.023629 0.02527904 0.04539996 0.02527904 0.02727895 0.04749995 0.023629 0.02527904 0.03779995 0.02527904 0.023629 0.03779995 0.02527904 0.02692902 0.03779995 0.02692902 0.02527904 0.03779995 0.03857851 -0.00282824 -0.0478 0.03292143 -0.00282824 -0.0478 0.03174996 0 -0.0478 0.03174996 0 -0.04749995 0.03574997 -0.001443326 -0.0478 0.0345 7.21688e-4 -0.0478 0.03292143 0.00282824 -0.0478 0.03292155 0.002828419 -0.04749995 0.0345 -7.21688e-4 -0.0478 0.03574997 -0.003999948 -0.0478 0.03292155 -0.002828419 -0.04749995 0.03574997 -0.003999948 -0.04749995 0.037 -7.21688e-4 -0.0478 0.03974992 0 -0.0478 0.03857839 -0.002828419 -0.04749995 0.03857851 0.00282824 -0.0478 0.03974992 0 -0.04749995 0.03574997 0.001443326 -0.0478 0.037 7.21688e-4 -0.0478 0.03574997 0.003999948 -0.0478 0.03857839 0.002828419 -0.04749995 0.03574997 0.003999948 -0.04749995 0.0345 7.21688e-4 -0.046 0.0345 -7.21688e-4 -0.046 0.03574997 0.001443326 -0.046 0.037 7.21688e-4 -0.046 0.037 -7.21688e-4 -0.046 0.03574997 -0.001443326 -0.046 0.03774988 0 -0.04549998 0.03716421 -0.00141412 -0.04549998 0.03716421 0.00141412 -0.04549998 0.03574997 0.001999974 -0.04549998 0.03433573 0.00141412 -0.04549998 0.03374993 0 -0.04549998 0.03774988 0 -0.04339993 0.03574997 -0.001999974 -0.04339993 0.03574997 0.001999974 -0.04339993 0.03374993 0 -0.04339993 0.03433573 -0.00141412 -0.04549998 0.03739988 0 -0.04339993 0.03574997 -0.001649916 -0.04339993 0.03574997 0.001649916 -0.04339993 0.03409993 0 -0.04339993 0.03574997 -0.001999974 -0.04549998 0.03409993 0 -0.03579998 0.03574997 0.001649916 -0.03579998 0.03574997 -0.001649916 -0.03579998 0.03739988 0 -0.03579998 -0.02245044 0.0224508 -0.0478 -0.02810758 0.0224508 -0.0478 -0.02927905 0.02527904 -0.0478 -0.02927905 0.02527904 -0.04749995 -0.02527904 0.02383559 -0.0478 -0.02652907 0.02600067 -0.0478 -0.02810758 0.02810728 -0.0478 -0.02810746 0.02810746 -0.04749995 -0.02652907 0.02455735 -0.0478 -0.02527904 0.02127903 -0.0478 -0.02810746 0.02245062 -0.04749995 -0.02527904 0.02127897 -0.04749995 -0.02402901 0.02455735 -0.0478 -0.02127897 0.02527904 -0.0478 -0.02245062 0.02245062 -0.04749995 -0.02245044 0.02810728 -0.0478 -0.02127897 0.02527904 -0.04749995 -0.02527904 0.02672243 -0.0478 -0.02402901 0.02600067 -0.0478 -0.02527904 0.02927899 -0.0478 -0.02245062 0.02810746 -0.04749995 -0.02527904 0.02927905 -0.04749995 -0.02652907 0.02600067 -0.046 -0.02652907 0.02455735 -0.046 -0.02527904 0.02672243 -0.046 -0.02402901 0.02600067 -0.046 -0.02402901 0.02455735 -0.046 -0.02527904 0.02383559 -0.046 -0.02327907 0.02527904 -0.04549998 -0.0238648 0.0238648 -0.04549998 -0.0238648 0.02669328 -0.04549998 -0.02527904 0.02727895 -0.04549998 -0.02669328 0.02669328 -0.04549998 -0.02727895 0.02527904 -0.04549998 -0.02327907 0.02527904 -0.04339993 -0.02527904 0.02327907 -0.04339993 -0.02527904 0.02727895 -0.04339993 -0.02727895 0.02527904 -0.04339993 -0.02669328 0.0238648 -0.04549998 -0.023629 0.02527904 -0.04339993 -0.02527904 0.023629 -0.04339993 -0.02527904 0.02692902 -0.04339993 -0.02692902 0.02527904 -0.04339993 -0.02527904 0.02327907 -0.04549998 -0.02692902 0.02527904 -0.03579998 -0.02527904 0.02692902 -0.03579998 -0.02527904 0.023629 -0.03579998 -0.023629 0.02527904 -0.03579998 0.002828538 0.03292173 -0.0478 -0.002828538 0.03292173 -0.0478 -0.003999948 0.03574997 -0.0478 -0.003999948 0.03574997 -0.04749995 0 0.03430652 -0.0478 -0.001249969 0.03647166 -0.0478 -0.002828538 0.03857821 -0.0478 -0.002828419 0.03857839 -0.04749995 -0.001249969 0.03502821 -0.0478 0 0.03175002 -0.0478 -0.002828419 0.03292155 -0.04749995 0 0.03174996 -0.04749995 0.001249969 0.03502821 -0.0478 0.003999948 0.03574997 -0.0478 0.002828419 0.03292155 -0.04749995 0.002828538 0.03857821 -0.0478 0.003999948 0.03574997 -0.04749995 0 0.03719329 -0.0478 0.001249969 0.03647166 -0.0478 0 0.03974992 -0.0478 0.002828419 0.03857839 -0.04749995 0 0.03974992 -0.04749995 -0.001249969 0.03647166 -0.046 -0.001249969 0.03502821 -0.046 0 0.03719329 -0.046 0.001249969 0.03647166 -0.046 0.001249969 0.03502821 -0.046 0 0.03430652 -0.046 0.001999974 0.03574997 -0.04549998 0.00141412 0.03433573 -0.04549998 0.00141412 0.03716421 -0.04549998 0 0.03774988 -0.04549998 -0.00141412 0.03716421 -0.04549998 -0.001999974 0.03574997 -0.04549998 0.001999974 0.03574997 -0.04339993 0 0.03374993 -0.04339993 0 0.03774988 -0.04339993 -0.001999974 0.03574997 -0.04339993 -0.00141412 0.03433573 -0.04549998 0.001649916 0.03574997 -0.04339993 0 0.03409993 -0.04339993 0 0.03739988 -0.04339993 -0.001649916 0.03574997 -0.04339993 0 0.03374993 -0.04549998 -0.001649916 0.03574997 -0.03579998 0 0.03739988 -0.03579998 0 0.03409993 -0.03579998 0.001649916 0.03574997 -0.03579998 0.02810758 0.0224508 -0.0478 0.02245044 0.0224508 -0.0478 0.02127897 0.02527904 -0.0478 0.02127897 0.02527904 -0.04749995 0.02527904 0.02383559 -0.0478 0.02402901 0.02600067 -0.0478 0.02245044 0.02810728 -0.0478 0.02245062 0.02810746 -0.04749995 0.02402901 0.02455735 -0.0478 0.02527904 0.02127903 -0.0478 0.02245062 0.02245062 -0.04749995 0.02527904 0.02127897 -0.04749995 0.02652907 0.02455735 -0.0478 0.02927905 0.02527904 -0.0478 0.02810746 0.02245062 -0.04749995 0.02810758 0.02810728 -0.0478 0.02927905 0.02527904 -0.04749995 0.02527904 0.02672243 -0.0478 0.02652907 0.02600067 -0.0478 0.02527904 0.02927899 -0.0478 0.02810746 0.02810746 -0.04749995 0.02527904 0.02927905 -0.04749995 0.02402901 0.02600067 -0.046 0.02402901 0.02455735 -0.046 0.02527904 0.02672243 -0.046 0.02652907 0.02600067 -0.046 0.02652907 0.02455735 -0.046 0.02527904 0.02383559 -0.046 0.02727895 0.02527904 -0.04549998 0.02669328 0.0238648 -0.04549998 0.02669328 0.02669328 -0.04549998 0.02527904 0.02727895 -0.04549998 0.0238648 0.02669328 -0.04549998 0.02327907 0.02527904 -0.04549998 0.02727895 0.02527904 -0.04339993 0.02527904 0.02327907 -0.04339993 0.02527904 0.02727895 -0.04339993 0.02327907 0.02527904 -0.04339993 0.0238648 0.0238648 -0.04549998 0.02692902 0.02527904 -0.04339993 0.02527904 0.023629 -0.04339993 0.02527904 0.02692902 -0.04339993 0.023629 0.02527904 -0.04339993 0.02527904 0.02327907 -0.04549998 0.023629 0.02527904 -0.03579998 0.02527904 0.02692902 -0.03579998 0.02527904 0.023629 -0.03579998 0.02692902 0.02527904 -0.03579998 0.03857851 0.00282824 0.04979991 0.03292143 0.00282824 0.04979991 0.03174996 0 0.04979991 0.03174996 0 0.04949992 0.03574997 0.001443326 0.04979991 0.0345 -7.21688e-4 0.04979991 0.03292143 -0.00282824 0.04979991 0.03292155 -0.002828419 0.04949992 0.0345 7.21688e-4 0.04979991 0.03574997 0.003999948 0.04979991 0.03292155 0.002828419 0.04949992 0.03574997 0.003999948 0.04949992 0.037 7.21688e-4 0.04979991 0.03974992 0 0.04979991 0.03857839 0.002828419 0.04949992 0.03857851 -0.00282824 0.04979991 0.03974992 0 0.04949992 0.03574997 -0.001443326 0.04979991 0.037 -7.21688e-4 0.04979991 0.03574997 -0.003999948 0.04979991 0.03857839 -0.002828419 0.04949992 0.03574997 -0.003999948 0.04949992 0.0345 -7.21688e-4 0.04799991 0.0345 7.21688e-4 0.04799991 0.03574997 -0.001443326 0.04799991 0.037 -7.21688e-4 0.04799991 0.037 7.21688e-4 0.04799991 0.03574997 0.001443326 0.04799991 0.03774988 0 0.04749995 0.03716421 0.00141412 0.04749995 0.03716421 -0.00141412 0.04749995 0.03574997 -0.001999974 0.04749995 0.03433573 -0.00141412 0.04749995 0.03374993 0 0.04749995 0.03774988 0 0.04539996 0.03574997 0.001999974 0.04539996 0.03574997 -0.001999974 0.04539996 0.03374993 0 0.04539996 0.03433573 0.00141412 0.04749995 0.03739988 0 0.04539996 0.03574997 0.001649916 0.04539996 0.03574997 -0.001649916 0.04539996 0.03409993 0 0.04539996 0.03574997 0.001999974 0.04749995 0.03409993 0 0.03779995 0.03574997 -0.001649916 0.03779995 0.03574997 0.001649916 0.03779995 0.03739988 0 0.03779995 -0.02245044 0.02810728 0.04979991 -0.02810758 0.02810728 0.04979991 -0.02927905 0.02527904 0.04979991 -0.02927905 0.02527904 0.04949992 -0.02527904 0.02672243 0.04979991 -0.02652907 0.02455735 0.04979991 -0.02810758 0.0224508 0.04979991 -0.02810746 0.02245062 0.04949992 -0.02652907 0.02600067 0.04979991 -0.02527904 0.02927899 0.04979991 -0.02810746 0.02810746 0.04949992 -0.02527904 0.02927905 0.04949992 -0.02402901 0.02600067 0.04979991 -0.02127897 0.02527904 0.04979991 -0.02245062 0.02810746 0.04949992 -0.02245044 0.0224508 0.04979991 -0.02127897 0.02527904 0.04949992 -0.02527904 0.02383559 0.04979991 -0.02402901 0.02455735 0.04979991 -0.02527904 0.02127903 0.04979991 -0.02245062 0.02245062 0.04949992 -0.02527904 0.02127897 0.04949992 -0.02652907 0.02455735 0.04799991 -0.02652907 0.02600067 0.04799991 -0.02527904 0.02383559 0.04799991 -0.02402901 0.02455735 0.04799991 -0.02402901 0.02600067 0.04799991 -0.02527904 0.02672243 0.04799991 -0.02327907 0.02527904 0.04749995 -0.0238648 0.02669328 0.04749995 -0.0238648 0.0238648 0.04749995 -0.02527904 0.02327907 0.04749995 -0.02669328 0.0238648 0.04749995 -0.02727895 0.02527904 0.04749995 -0.02327907 0.02527904 0.04539996 -0.02527904 0.02727895 0.04539996 -0.02527904 0.02327907 0.04539996 -0.02727895 0.02527904 0.04539996 -0.02669328 0.02669328 0.04749995 -0.023629 0.02527904 0.04539996 -0.02527904 0.02692902 0.04539996 -0.02527904 0.023629 0.04539996 -0.02692902 0.02527904 0.04539996 -0.02527904 0.02727895 0.04749995 -0.02692902 0.02527904 0.03779995 -0.02527904 0.023629 0.03779995 -0.02527904 0.02692902 0.03779995 -0.023629 0.02527904 0.03779995 -0.01599657 -0.00459975 -0.02399992 -0.01417809 -0.005650162 -0.02399992 -0.0205 -0.009299993 -0.02399992 -0.0205 -0.009499967 -0.02379995 -0.0205 -0.007199943 -0.02399992 -0.02682179 -0.005650162 -0.02399992 -0.02699518 -0.00575 -0.02379995 -0.01417809 0.001650094 -0.02399992 -0.0140047 -0.00575 -0.02379995 -0.0205 0.003199994 -0.02399992 -0.0205 0.005299985 -0.02399992 -0.0140047 0.001749992 -0.02379995 -0.01599657 5.99755e-4 -0.02399992 -0.02500337 5.99755e-4 -0.02399992 -0.02682179 0.001650094 -0.02399992 -0.0205 0.005499899 -0.02379995 -0.02699518 0.001749992 -0.02379995 -0.02500337 -0.00459975 -0.02399992 -0.0205 -0.006999969 -0.02379995 -0.01616984 -0.004499912 -0.02379995 -0.0248301 -0.004499912 -0.02379995 -0.0248301 5e-4 -0.02379995 -0.0205 0.002999961 -0.02379995 -0.01616984 5e-4 -0.02379995 -0.0205 -0.009499967 -0.007199943 -0.02699518 -0.00575 -0.007199943 -0.0140047 -0.00575 -0.007199943 -0.0140047 0.001749992 -0.007199943 -0.0205 0.005499899 -0.007199943 -0.0205 -0.009299993 -0.006999969 -0.02682179 -0.005650162 -0.006999969 -0.01417809 -0.005650162 -0.006999969 -0.01417809 0.001650094 -0.006999969 -0.0205 0.005299985 -0.006999969 -0.02699518 0.001749992 -0.007199943 -0.0205 -0.007199943 -0.006999969 -0.02500337 -0.00459975 -0.006999969 -0.01599657 5.99755e-4 -0.006999969 -0.01599657 -0.00459975 -0.006999969 -0.0205 0.003199994 -0.006999969 -0.02682179 0.001650094 -0.006999969 -0.02500337 5.99755e-4 -0.006999969 -0.0205 -0.006999969 -0.007199943 -0.0248301 -0.004499912 -0.007199943 -0.01616984 -0.004499912 -0.007199943 -0.01616984 5e-4 -0.007199943 -0.0205 0.002999961 -0.007199943 -0.0248301 5e-4 -0.007199943 -0.01599657 5.99755e-4 0.02599996 -0.01417809 0.001650094 0.02599996 -0.0205 0.005299985 0.02599996 -0.0205 0.005499899 0.02579993 -0.0205 0.003199994 0.02599996 -0.02682179 0.001650094 0.02599996 -0.02699518 0.001749992 0.02579993 -0.01417809 -0.005650162 0.02599996 -0.0140047 0.001749992 0.02579993 -0.0205 -0.007199943 0.02599996 -0.0205 -0.009299993 0.02599996 -0.0140047 -0.00575 0.02579993 -0.01599657 -0.00459975 0.02599996 -0.02500337 -0.00459975 0.02599996 -0.02682179 -0.005650162 0.02599996 -0.0205 -0.009499967 0.02579993 -0.02699518 -0.00575 0.02579993 -0.02500337 5.99755e-4 0.02599996 -0.0205 0.002999961 0.02579993 -0.01616984 5e-4 0.02579993 -0.0248301 5e-4 0.02579993 -0.0248301 -0.004499912 0.02579993 -0.0205 -0.006999969 0.02579993 -0.01616984 -0.004499912 0.02579993 -0.0205 0.005499899 0.009199976 -0.02699518 0.001749992 0.009199976 -0.0140047 0.001749992 0.009199976 -0.0140047 -0.00575 0.009199976 -0.0205 -0.009499967 0.009199976 -0.0205 0.005299985 0.008999943 -0.02682179 0.001650094 0.008999943 -0.01417809 0.001650094 0.008999943 -0.01417809 -0.005650162 0.008999943 -0.0205 -0.009299993 0.008999943 -0.02699518 -0.00575 0.009199976 -0.0205 0.003199994 0.008999943 -0.02500337 5.99755e-4 0.008999943 -0.01599657 -0.00459975 0.008999943 -0.01599657 5.99755e-4 0.008999943 -0.0205 -0.007199943 0.008999943 -0.02682179 -0.005650162 0.008999943 -0.02500337 -0.00459975 0.008999943 -0.0205 0.002999961 0.009199976 -0.0248301 5e-4 0.009199976 -0.01616984 5e-4 0.009199976 -0.01616984 -0.004499912 0.009199976 -0.0205 -0.006999969 0.009199976 -0.0248301 -0.004499912 0.009199976 -0.2445 -0.01234304 0.01872777 -0.2445 -0.00668627 0.01872777 -0.2445 -0.005514681 0.02155625 -0.2448 -0.005514681 0.02155625 -0.2445 -0.009514689 0.02011293 -0.2445 -0.00826466 0.02227801 -0.2445 -0.00668627 0.02438467 -0.2448 -0.00668627 0.02438467 -0.2445 -0.00826466 0.02083462 -0.2445 -0.009514689 0.01755625 -0.2448 -0.00668627 0.01872777 -0.2448 -0.009514689 0.01755625 -0.2445 -0.01076459 0.02083462 -0.2445 -0.01351463 0.02155625 -0.2448 -0.01234304 0.01872777 -0.2445 -0.01234304 0.02438467 -0.2448 -0.01351463 0.02155625 -0.2445 -0.009514689 0.02299964 -0.2445 -0.01076459 0.02227801 -0.2445 -0.009514689 0.02555632 -0.2448 -0.01234304 0.02438467 -0.2448 -0.009514689 0.02555632 -0.2463 -0.00826466 0.02227801 -0.2463 -0.00826466 0.02083462 -0.2463 -0.009514689 0.02299964 -0.2463 -0.01076459 0.02227801 -0.2463 -0.01076459 0.02083462 -0.2463 -0.009514689 0.02011293 -0.2468 -0.01151466 0.02155625 -0.2468 -0.0109288 0.02014201 -0.2468 -0.0109288 0.02297043 -0.2468 -0.009514689 0.02355629 -0.2468 -0.00810045 0.02297043 -0.2468 -0.007514655 0.02155625 -0.2488999 -0.01151466 0.02155625 -0.2488999 -0.009514689 0.01955634 -0.2488999 -0.009514689 0.02355623 -0.2488999 -0.007514655 0.02155625 -0.2468 -0.00810045 0.02014201 -0.2488999 -0.0111646 0.02155625 -0.2488999 -0.009514689 0.01990628 -0.2488999 -0.009514689 0.02320629 -0.2488999 -0.007864654 0.02155625 -0.2468 -0.009514689 0.01955628 -0.2605 -0.007864654 0.02155625 -0.2605 -0.009514689 0.02320629 -0.2605 -0.009514689 0.01990628 -0.2605 -0.0111646 0.02155625 -0.2445 0.004686236 0.01872777 -0.2445 0.01034313 0.01872777 -0.2445 0.01151466 0.02155625 -0.2448 0.01151466 0.02155625 -0.2445 0.007514655 0.02011293 -0.2445 0.008764684 0.02227801 -0.2445 0.01034313 0.02438467 -0.2448 0.01034313 0.02438467 -0.2445 0.008764684 0.02083462 -0.2445 0.007514655 0.01755625 -0.2448 0.01034313 0.01872777 -0.2448 0.007514655 0.01755625 -0.2445 0.006264686 0.02083462 -0.2445 0.003514647 0.02155625 -0.2448 0.004686236 0.01872777 -0.2445 0.004686236 0.02438467 -0.2448 0.003514647 0.02155625 -0.2445 0.007514655 0.02299964 -0.2445 0.006264686 0.02227801 -0.2445 0.007514655 0.02555632 -0.2448 0.004686236 0.02438467 -0.2448 0.007514655 0.02555632 -0.2463 0.008764684 0.02227801 -0.2463 0.008764684 0.02083462 -0.2463 0.007514655 0.02299964 -0.2463 0.006264686 0.02227801 -0.2463 0.006264686 0.02083462 -0.2463 0.007514655 0.02011293 -0.2468 0.005514681 0.02155625 -0.2468 0.006100416 0.02014201 -0.2468 0.006100416 0.02297043 -0.2468 0.007514655 0.02355629 -0.2468 0.008928894 0.02297043 -0.2468 0.009514689 0.02155625 -0.2488999 0.005514681 0.02155625 -0.2488999 0.007514655 0.01955634 -0.2488999 0.007514655 0.02355623 -0.2488999 0.009514689 0.02155625 -0.2468 0.008928894 0.02014201 -0.2488999 0.00586462 0.02155625 -0.2488999 0.007514655 0.01990628 -0.2488999 0.007514655 0.02320629 -0.2488999 0.00916469 0.02155625 -0.2468 0.007514655 0.01955628 -0.2605 0.00916469 0.02155625 -0.2605 0.007514655 0.02320629 -0.2605 0.007514655 0.01990628 -0.2605 0.00586462 0.02155625 -0.2445 0.01955628 0.01351463 -0.2445 0.01555621 0.009514689 -0.2445 0.01672786 0.00668627 -0.2448 0.01672786 0.00668627 -0.2445 0.01853567 0.01053524 -0.2445 0.01918274 0.008120477 -0.2445 0.01955628 0.005514681 -0.2448 0.01955628 0.005514681 -0.2445 0.01816213 0.009141087 -0.2445 0.01672786 0.01234304 -0.2448 0.01555621 0.009514689 -0.2448 0.01672786 0.01234304 -0.2445 0.01992988 0.0109089 -0.2445 0.0223847 0.01234304 -0.2448 0.01955628 0.01351463 -0.2445 0.02355629 0.009514689 -0.2448 0.0223847 0.01234304 -0.2445 0.02057689 0.008494079 -0.2445 0.02095049 0.009888231 -0.2445 0.0223847 0.00668627 -0.2448 0.02355629 0.009514689 -0.2448 0.0223847 0.00668627 -0.2463 0.01918274 0.008120477 -0.2463 0.01816213 0.009141087 -0.2463 0.02057689 0.008494079 -0.2463 0.02095049 0.009888231 -0.2463 0.01992988 0.0109089 -0.2463 0.01853567 0.01053524 -0.2468 0.02097052 0.0109288 -0.2468 0.01955628 0.01151466 -0.2468 0.02155625 0.009514689 -0.2468 0.02097052 0.00810045 -0.2468 0.01955628 0.007514655 -0.2468 0.0181421 0.00810045 -0.2488999 0.02097052 0.0109288 -0.2488999 0.0181421 0.0109288 -0.2488999 0.02097046 0.008100509 -0.2488999 0.0181421 0.00810045 -0.2468 0.01755625 0.009514689 -0.2488999 0.02072304 0.01068139 -0.2488999 0.01838958 0.01068139 -0.2488999 0.02072304 0.008347928 -0.2488999 0.01838958 0.008347928 -0.2468 0.0181421 0.0109288 -0.2605 0.01838958 0.008347928 -0.2605 0.02072304 0.008347928 -0.2605 0.01838958 0.01068139 -0.2605 0.02072304 0.01068139 -0.2445 0.01151466 -0.01955628 -0.2445 0.007514655 -0.01555621 -0.2445 0.004686236 -0.01672786 -0.2448 0.004686236 -0.01672786 -0.2445 0.008535325 -0.01853567 -0.2445 0.006120443 -0.01918274 -0.2445 0.003514647 -0.01955628 -0.2448 0.003514647 -0.01955628 -0.2445 0.007141113 -0.01816213 -0.2445 0.01034313 -0.01672786 -0.2448 0.007514655 -0.01555621 -0.2448 0.01034313 -0.01672786 -0.2445 0.008908867 -0.01992988 -0.2445 0.01034313 -0.0223847 -0.2448 0.01151466 -0.01955628 -0.2445 0.007514655 -0.02355629 -0.2448 0.01034313 -0.0223847 -0.2445 0.006494045 -0.02057689 -0.2445 0.007888257 -0.02095049 -0.2445 0.004686236 -0.0223847 -0.2448 0.007514655 -0.02355629 -0.2448 0.004686236 -0.0223847 -0.2463 0.006120443 -0.01918274 -0.2463 0.007141113 -0.01816213 -0.2463 0.006494045 -0.02057689 -0.2463 0.007888257 -0.02095049 -0.2463 0.008908867 -0.01992988 -0.2463 0.008535325 -0.01853567 -0.2468 0.008928894 -0.02097052 -0.2468 0.009514689 -0.01955628 -0.2468 0.007514655 -0.02155625 -0.2468 0.006100416 -0.02097052 -0.2468 0.005514681 -0.01955628 -0.2468 0.006100416 -0.0181421 -0.2488999 0.008928894 -0.02097052 -0.2488999 0.008928835 -0.0181421 -0.2488999 0.006100416 -0.02097046 -0.2488999 0.006100416 -0.0181421 -0.2468 0.007514655 -0.01755625 -0.2488999 0.008681416 -0.02072304 -0.2488999 0.008681416 -0.01838958 -0.2488999 0.006347954 -0.02072304 -0.2488999 0.006347954 -0.01838958 -0.2468 0.008928894 -0.0181421 -0.2605 0.006347954 -0.01838958 -0.2605 0.006347954 -0.02072304 -0.2605 0.008681416 -0.01838958 -0.2605 0.008681416 -0.02072304 -0.2445 -0.02155625 -0.01151466 -0.2445 -0.01755625 -0.007514655 -0.2445 -0.01872777 -0.004686236 -0.2448 -0.01872777 -0.004686236 -0.2445 -0.02053558 -0.008535325 -0.2445 -0.02118271 -0.006120443 -0.2445 -0.02155625 -0.003514647 -0.2448 -0.02155625 -0.003514647 -0.2445 -0.0201621 -0.007141113 -0.2445 -0.01872777 -0.01034313 -0.2448 -0.01755625 -0.007514655 -0.2448 -0.01872777 -0.01034313 -0.2445 -0.02192986 -0.008908867 -0.2445 -0.02438467 -0.01034313 -0.2448 -0.02155625 -0.01151466 -0.2445 -0.02555632 -0.007514655 -0.2448 -0.02438467 -0.01034313 -0.2445 -0.02257686 -0.006494045 -0.2445 -0.02295047 -0.007888257 -0.2445 -0.02438467 -0.004686236 -0.2448 -0.02555632 -0.007514655 -0.2448 -0.02438467 -0.004686236 -0.2463 -0.02118271 -0.006120443 -0.2463 -0.0201621 -0.007141113 -0.2463 -0.02257686 -0.006494045 -0.2463 -0.02295047 -0.007888257 -0.2463 -0.02192986 -0.008908867 -0.2463 -0.02053558 -0.008535325 -0.2468 -0.02297043 -0.008928894 -0.2468 -0.02155625 -0.009514689 -0.2468 -0.02355629 -0.007514655 -0.2468 -0.02297043 -0.006100416 -0.2468 -0.02155625 -0.005514681 -0.2468 -0.02014201 -0.006100416 -0.2488999 -0.02297043 -0.008928894 -0.2488999 -0.02014207 -0.008928835 -0.2488999 -0.02297043 -0.006100416 -0.2488999 -0.02014201 -0.006100416 -0.2468 -0.01955628 -0.007514655 -0.2488999 -0.02272295 -0.008681416 -0.2488999 -0.02038949 -0.008681416 -0.2488999 -0.02272295 -0.006347954 -0.2488999 -0.02038949 -0.006347954 -0.2468 -0.02014201 -0.008928894 -0.2605 -0.02038949 -0.006347954 -0.2605 -0.02272295 -0.006347954 -0.2605 -0.02038949 -0.008681416 -0.2605 -0.02272295 -0.008681416 -0.2445 -0.01053524 0.02053558 -0.2445 -0.008120477 0.02118271 -0.2445 -0.009141087 0.0201621 -0.2445 -0.0109089 0.02192986 -0.2445 -0.008494079 0.02257686 -0.2445 -0.009888231 0.02295047 -0.2463 -0.008120477 0.02118271 -0.2463 -0.009141087 0.0201621 -0.2463 -0.008494079 0.02257686 -0.2463 -0.009888231 0.02295047 -0.2463 -0.0109089 0.02192986 -0.2463 -0.01053524 0.02053558 -0.2488999 -0.0109288 0.02297043 -0.2488999 -0.0109288 0.02014207 -0.2488999 -0.008100509 0.02297043 -0.2488999 -0.00810045 0.02014201 -0.2488999 -0.01068139 0.02272295 -0.2488999 -0.01068139 0.02038949 -0.2488999 -0.008347928 0.02272295 -0.2488999 -0.008347928 0.02038949 -0.2605 -0.008347928 0.02038949 -0.2605 -0.008347928 0.02272295 -0.2605 -0.01068139 0.02038949 -0.2605 -0.01068139 0.02272295 -0.2445 0.01955628 0.008071303 -0.2445 0.02080631 0.01023638 -0.2445 0.02080631 0.008792996 -0.2445 0.01830631 0.008792996 -0.2445 0.01955628 0.01095801 -0.2445 0.01830631 0.01023638 -0.2463 0.02080631 0.01023638 -0.2463 0.02080631 0.008792996 -0.2463 0.01955628 0.01095801 -0.2463 0.01830631 0.01023638 -0.2463 0.01830631 0.008792996 -0.2463 0.01955628 0.008071303 -0.2488999 0.01755625 0.009514689 -0.2488999 0.01955628 0.007514715 -0.2488999 0.01955628 0.0115146 -0.2488999 0.02155625 0.009514689 -0.2488999 0.01790624 0.009514689 -0.2488999 0.01955628 0.007864654 -0.2488999 0.01955628 0.0111646 -0.2488999 0.02120625 0.009514689 -0.2605 0.02120625 0.009514689 -0.2605 0.01955628 0.0111646 -0.2605 0.01955628 0.007864654 -0.2605 0.01790624 0.009514689 -0.2445 0.01672786 -0.01034313 -0.2445 0.0223847 -0.01034313 -0.2445 0.02355629 -0.007514655 -0.2448 0.02355629 -0.007514655 -0.2445 0.01955628 -0.008958041 -0.2445 0.02080631 -0.006792962 -0.2445 0.0223847 -0.004686236 -0.2448 0.0223847 -0.004686236 -0.2445 0.02080631 -0.008236348 -0.2445 0.01955628 -0.01151466 -0.2448 0.0223847 -0.01034313 -0.2448 0.01955628 -0.01151466 -0.2445 0.01830631 -0.008236348 -0.2445 0.01555621 -0.007514655 -0.2448 0.01672786 -0.01034313 -0.2445 0.01672786 -0.004686236 -0.2448 0.01555621 -0.007514655 -0.2445 0.01955628 -0.006071329 -0.2445 0.01830631 -0.006792962 -0.2445 0.01955628 -0.003514647 -0.2448 0.01672786 -0.004686236 -0.2448 0.01955628 -0.003514647 -0.2463 0.02080631 -0.006792962 -0.2463 0.02080631 -0.008236348 -0.2463 0.01955628 -0.006071329 -0.2463 0.01830631 -0.006792962 -0.2463 0.01830631 -0.008236348 -0.2463 0.01955628 -0.008958041 -0.2468 0.01755625 -0.007514655 -0.2468 0.0181421 -0.008928894 -0.2468 0.0181421 -0.006100416 -0.2468 0.01955628 -0.005514681 -0.2468 0.02097052 -0.006100416 -0.2468 0.02155625 -0.007514655 -0.2488999 0.01755625 -0.007514655 -0.2488999 0.01955628 -0.009514629 -0.2488999 0.01955628 -0.005514681 -0.2488999 0.02155625 -0.007514655 -0.2468 0.02097052 -0.008928894 -0.2488999 0.01790624 -0.007514655 -0.2488999 0.01955628 -0.00916469 -0.2488999 0.01955628 -0.00586462 -0.2488999 0.02120625 -0.007514655 -0.2468 0.01955628 -0.009514689 -0.2605 0.02120625 -0.007514655 -0.2605 0.01955628 -0.00586462 -0.2605 0.01955628 -0.00916469 -0.2605 0.01790624 -0.007514655 -0.2445 0.007514655 -0.02099967 -0.2445 0.008764684 -0.01883459 -0.2445 0.008764684 -0.02027791 -0.2445 0.006264686 -0.02027791 -0.2445 0.007514655 -0.01811283 -0.2445 0.006264686 -0.01883459 -0.2463 0.008764684 -0.01883459 -0.2463 0.008764684 -0.02027791 -0.2463 0.007514655 -0.01811283 -0.2463 0.006264686 -0.01883459 -0.2463 0.006264686 -0.02027791 -0.2463 0.007514655 -0.02099967 -0.2488999 0.005514681 -0.01955628 -0.2488999 0.007514655 -0.02155619 -0.2488999 0.007514655 -0.0175563 -0.2488999 0.009514689 -0.01955628 -0.2488999 0.00586462 -0.01955628 -0.2488999 0.007514655 -0.02120625 -0.2488999 0.007514655 -0.01790624 -0.2488999 0.00916469 -0.01955628 -0.2605 0.00916469 -0.01955628 -0.2605 0.007514655 -0.01790624 -0.2605 0.007514655 -0.02120625 -0.2605 0.00586462 -0.01955628 -0.2445 -0.01234304 -0.0223847 -0.2445 -0.00668627 -0.0223847 -0.2445 -0.005514681 -0.01955628 -0.2448 -0.005514681 -0.01955628 -0.2445 -0.009514689 -0.02099967 -0.2445 -0.00826466 -0.01883459 -0.2445 -0.00668627 -0.01672786 -0.2448 -0.00668627 -0.01672786 -0.2445 -0.00826466 -0.02027791 -0.2445 -0.009514689 -0.02355629 -0.2448 -0.00668627 -0.0223847 -0.2448 -0.009514689 -0.02355629 -0.2445 -0.01076459 -0.02027791 -0.2445 -0.01351463 -0.01955628 -0.2448 -0.01234304 -0.0223847 -0.2445 -0.01234304 -0.01672786 -0.2448 -0.01351463 -0.01955628 -0.2445 -0.009514689 -0.01811283 -0.2445 -0.01076459 -0.01883459 -0.2445 -0.009514689 -0.01555621 -0.2448 -0.01234304 -0.01672786 -0.2448 -0.009514689 -0.01555621 -0.2463 -0.00826466 -0.01883459 -0.2463 -0.00826466 -0.02027791 -0.2463 -0.009514689 -0.01811283 -0.2463 -0.01076459 -0.01883459 -0.2463 -0.01076459 -0.02027791 -0.2463 -0.009514689 -0.02099967 -0.2468 -0.01151466 -0.01955628 -0.2468 -0.0109288 -0.02097052 -0.2468 -0.0109288 -0.0181421 -0.2468 -0.009514689 -0.01755625 -0.2468 -0.00810045 -0.0181421 -0.2468 -0.007514655 -0.01955628 -0.2488999 -0.01151466 -0.01955628 -0.2488999 -0.009514689 -0.02155619 -0.2488999 -0.009514689 -0.0175563 -0.2488999 -0.007514655 -0.01955628 -0.2468 -0.00810045 -0.02097052 -0.2488999 -0.0111646 -0.01955628 -0.2488999 -0.009514689 -0.02120625 -0.2488999 -0.009514689 -0.01790624 -0.2488999 -0.007864654 -0.01955628 -0.2468 -0.009514689 -0.02155625 -0.2605 -0.007864654 -0.01955628 -0.2605 -0.009514689 -0.01790624 -0.2605 -0.009514689 -0.02120625 -0.2605 -0.0111646 -0.01955628 0.002828419 -0.01942151 0.06149995 -0.002828419 -0.01942151 0.06149995 -0.003999948 -0.02224993 0.06149995 -0.003999948 -0.02224993 0.06119996 0 -0.02080661 0.06149995 -0.001249969 -0.02297163 0.06149995 -0.002828419 -0.02507841 0.06149995 -0.002828419 -0.02507841 0.06119996 -0.001249969 -0.0215283 0.06149995 0 -0.01824992 0.06149995 -0.002828419 -0.01942151 0.06119996 0 -0.01824992 0.06119996 0.001249969 -0.0215283 0.06149995 0.003999948 -0.02224993 0.06149995 0.002828419 -0.01942151 0.06119996 0.002828419 -0.02507841 0.06149995 0.003999948 -0.02224993 0.06119996 0 -0.02369338 0.06149995 0.001249969 -0.02297163 0.06149995 0 -0.02625 0.06149995 0.002828419 -0.02507841 0.06119996 0 -0.02625 0.06119996 -0.001249969 -0.02297163 0.05969995 -0.001249969 -0.0215283 0.05969995 0 -0.02369338 0.05969995 0.001249969 -0.02297163 0.05969995 0.001249969 -0.0215283 0.05969995 0 -0.02080661 0.05969995 0.001999974 -0.02224993 0.05919992 0.00141412 -0.02083569 0.05919992 0.00141412 -0.02366417 0.05919992 0 -0.02424997 0.05919992 -0.00141412 -0.02366417 0.05919992 -0.001999974 -0.02224993 0.05919992 0.001999974 -0.02224993 0.05709993 0 -0.02025002 0.05709993 0 -0.02424991 0.05709993 -0.001999974 -0.02224993 0.05709993 -0.00141412 -0.02083569 0.05919992 0.001649916 -0.02224993 0.05709993 0 -0.02059996 0.05709993 0 -0.02389997 0.05709993 -0.001649916 -0.02224993 0.05709993 0 -0.02024996 0.05919992 -0.001649916 -0.02224993 0.04549998 0 -0.02389997 0.04549998 0 -0.02059996 0.04549998 0.001649916 -0.02224993 0.04549998 0.01942151 0.002828419 0.06149995 0.01942151 -0.002828419 0.06149995 0.02224993 -0.003999948 0.06149995 0.02224993 -0.003999948 0.06119996 0.02080661 0 0.06149995 0.02297163 -0.001249969 0.06149995 0.02507841 -0.002828419 0.06149995 0.02507841 -0.002828419 0.06119996 0.0215283 -0.001249969 0.06149995 0.01824992 0 0.06149995 0.01942151 -0.002828419 0.06119996 0.01824992 0 0.06119996 0.0215283 0.001249969 0.06149995 0.02224993 0.003999948 0.06149995 0.01942151 0.002828419 0.06119996 0.02507841 0.002828419 0.06149995 0.02224993 0.003999948 0.06119996 0.02369338 0 0.06149995 0.02297163 0.001249969 0.06149995 0.02625 0 0.06149995 0.02507841 0.002828419 0.06119996 0.02625 0 0.06119996 0.02297163 -0.001249969 0.05969995 0.0215283 -0.001249969 0.05969995 0.02369338 0 0.05969995 0.02297163 0.001249969 0.05969995 0.0215283 0.001249969 0.05969995 0.02080661 0 0.05969995 0.02224993 0.001999974 0.05919992 0.02083569 0.00141412 0.05919992 0.02366417 0.00141412 0.05919992 0.02424997 0 0.05919992 0.02366417 -0.00141412 0.05919992 0.02224993 -0.001999974 0.05919992 0.02224993 0.001999974 0.05709993 0.02025002 0 0.05709993 0.02424991 0 0.05709993 0.02224993 -0.001999974 0.05709993 0.02083569 -0.00141412 0.05919992 0.02224993 0.001649916 0.05709993 0.02059996 0 0.05709993 0.02389997 0 0.05709993 0.02224993 -0.001649916 0.05709993 0.02024996 0 0.05919992 0.02224993 -0.001649916 0.04549998 0.02389997 0 0.04549998 0.02059996 0 0.04549998 0.02224993 0.001649916 0.04549998 -0.002828419 0.01942151 0.06149995 0.002828419 0.01942151 0.06149995 0.003999948 0.02224993 0.06149995 0.003999948 0.02224993 0.06119996 0 0.02080661 0.06149995 0.001249969 0.02297163 0.06149995 0.002828419 0.02507841 0.06149995 0.002828419 0.02507841 0.06119996 0.001249969 0.0215283 0.06149995 0 0.01824992 0.06149995 0.002828419 0.01942151 0.06119996 0 0.01824992 0.06119996 -0.001249969 0.0215283 0.06149995 -0.003999948 0.02224993 0.06149995 -0.002828419 0.01942151 0.06119996 -0.002828419 0.02507841 0.06149995 -0.003999948 0.02224993 0.06119996 0 0.02369338 0.06149995 -0.001249969 0.02297163 0.06149995 0 0.02625 0.06149995 -0.002828419 0.02507841 0.06119996 0 0.02625 0.06119996 0.001249969 0.02297163 0.05969995 0.001249969 0.0215283 0.05969995 0 0.02369338 0.05969995 -0.001249969 0.02297163 0.05969995 -0.001249969 0.0215283 0.05969995 0 0.02080661 0.05969995 -0.001999974 0.02224993 0.05919992 -0.00141412 0.02083569 0.05919992 -0.00141412 0.02366417 0.05919992 0 0.02424997 0.05919992 0.00141412 0.02366417 0.05919992 0.001999974 0.02224993 0.05919992 -0.001999974 0.02224993 0.05709993 0 0.02025002 0.05709993 0 0.02424991 0.05709993 0.001999974 0.02224993 0.05709993 0.00141412 0.02083569 0.05919992 -0.001649916 0.02224993 0.05709993 0 0.02059996 0.05709993 0 0.02389997 0.05709993 0.001649916 0.02224993 0.05709993 0 0.02024996 0.05919992 0.001649916 0.02224993 0.04549998 0 0.02389997 0.04549998 0 0.02059996 0.04549998 -0.001649916 0.02224993 0.04549998 -0.01942151 -0.002828419 0.06149995 -0.01942151 0.002828419 0.06149995 -0.02224993 0.003999948 0.06149995 -0.02224993 0.003999948 0.06119996 -0.02080661 0 0.06149995 -0.02297163 0.001249969 0.06149995 -0.02507841 0.002828419 0.06149995 -0.02507841 0.002828419 0.06119996 -0.0215283 0.001249969 0.06149995 -0.01824992 0 0.06149995 -0.01942151 0.002828419 0.06119996 -0.01824992 0 0.06119996 -0.0215283 -0.001249969 0.06149995 -0.02224993 -0.003999948 0.06149995 -0.01942151 -0.002828419 0.06119996 -0.02507841 -0.002828419 0.06149995 -0.02224993 -0.003999948 0.06119996 -0.02369338 0 0.06149995 -0.02297163 -0.001249969 0.06149995 -0.02625 0 0.06149995 -0.02507841 -0.002828419 0.06119996 -0.02625 0 0.06119996 -0.02297163 0.001249969 0.05969995 -0.0215283 0.001249969 0.05969995 -0.02369338 0 0.05969995 -0.02297163 -0.001249969 0.05969995 -0.0215283 -0.001249969 0.05969995 -0.02080661 0 0.05969995 -0.02224993 -0.001999974 0.05919992 -0.02083569 -0.00141412 0.05919992 -0.02366417 -0.00141412 0.05919992 -0.02424997 0 0.05919992 -0.02366417 0.00141412 0.05919992 -0.02224993 0.001999974 0.05919992 -0.02224993 -0.001999974 0.05709993 -0.02025002 0 0.05709993 -0.02424991 0 0.05709993 -0.02224993 0.001999974 0.05709993 -0.02083569 0.00141412 0.05919992 -0.02224993 -0.001649916 0.05709993 -0.02059996 0 0.05709993 -0.02389997 0 0.05709993 -0.02224993 0.001649916 0.05709993 -0.02024996 0 0.05919992 -0.02224993 0.001649916 0.04549998 -0.02389997 0 0.04549998 -0.02059996 0 0.04549998 -0.02224993 -0.001649916 0.04549998 0.002828419 0.01942151 -0.0625 -0.002828419 0.01942151 -0.0625 -0.003999948 0.02224993 -0.0625 -0.003999948 0.02224993 -0.06219995 0 0.02080661 -0.0625 -0.001249969 0.02297163 -0.0625 -0.002828419 0.02507841 -0.0625 -0.002828419 0.02507841 -0.06219995 -0.001249969 0.0215283 -0.0625 0 0.01824992 -0.0625 -0.002828419 0.01942151 -0.06219995 0 0.01824992 -0.06219995 0.001249969 0.0215283 -0.0625 0.003999948 0.02224993 -0.0625 0.002828419 0.01942151 -0.06219995 0.002828419 0.02507841 -0.0625 0.003999948 0.02224993 -0.06219995 0 0.02369338 -0.0625 0.001249969 0.02297163 -0.0625 0 0.02625 -0.0625 0.002828419 0.02507841 -0.06219995 0 0.02625 -0.06219995 -0.001249969 0.02297163 -0.06069993 -0.001249969 0.0215283 -0.06069993 0 0.02369338 -0.06069993 0.001249969 0.02297163 -0.06069993 0.001249969 0.0215283 -0.06069993 0 0.02080661 -0.06069993 0.001999974 0.02224993 -0.06019991 0.00141412 0.02083569 -0.06019991 0.00141412 0.02366417 -0.06019991 0 0.02424997 -0.06019991 -0.00141412 0.02366417 -0.06019991 -0.001999974 0.02224993 -0.06019991 0.001999974 0.02224993 -0.05809998 0 0.02025002 -0.05809998 0 0.02424991 -0.05809998 -0.001999974 0.02224993 -0.05809998 -0.00141412 0.02083569 -0.06019991 0.001649916 0.02224993 -0.05809998 0 0.02059996 -0.05809998 0 0.02389997 -0.05809998 -0.001649916 0.02224993 -0.05809998 0 0.02024996 -0.06019991 -0.001649916 0.02224993 -0.0464999 0 0.02389997 -0.0464999 0 0.02059996 -0.0464999 0.001649916 0.02224993 -0.0464999 0.01942151 -0.002828419 -0.0625 0.01942151 0.002828419 -0.0625 0.02224993 0.003999948 -0.0625 0.02224993 0.003999948 -0.06219995 0.02080661 0 -0.0625 0.02297163 0.001249969 -0.0625 0.02507841 0.002828419 -0.0625 0.02507841 0.002828419 -0.06219995 0.0215283 0.001249969 -0.0625 0.01824992 0 -0.0625 0.01942151 0.002828419 -0.06219995 0.01824992 0 -0.06219995 0.0215283 -0.001249969 -0.0625 0.02224993 -0.003999948 -0.0625 0.01942151 -0.002828419 -0.06219995 0.02507841 -0.002828419 -0.0625 0.02224993 -0.003999948 -0.06219995 0.02369338 0 -0.0625 0.02297163 -0.001249969 -0.0625 0.02625 0 -0.0625 0.02507841 -0.002828419 -0.06219995 0.02625 0 -0.06219995 0.02297163 0.001249969 -0.06069993 0.0215283 0.001249969 -0.06069993 0.02369338 0 -0.06069993 0.02297163 -0.001249969 -0.06069993 0.0215283 -0.001249969 -0.06069993 0.02080661 0 -0.06069993 0.02224993 -0.001999974 -0.06019991 0.02083569 -0.00141412 -0.06019991 0.02366417 -0.00141412 -0.06019991 0.02424997 0 -0.06019991 0.02366417 0.00141412 -0.06019991 0.02224993 0.001999974 -0.06019991 0.02224993 -0.001999974 -0.05809998 0.02025002 0 -0.05809998 0.02424991 0 -0.05809998 0.02224993 0.001999974 -0.05809998 0.02083569 0.00141412 -0.06019991 0.02224993 -0.001649916 -0.05809998 0.02059996 0 -0.05809998 0.02389997 0 -0.05809998 0.02224993 0.001649916 -0.05809998 0.02024996 0 -0.06019991 0.02224993 0.001649916 -0.0464999 0.02389997 0 -0.0464999 0.02059996 0 -0.0464999 0.02224993 -0.001649916 -0.0464999 -0.002828419 -0.01942151 -0.0625 0.002828419 -0.01942151 -0.0625 0.003999948 -0.02224993 -0.0625 0.003999948 -0.02224993 -0.06219995 0 -0.02080661 -0.0625 0.001249969 -0.02297163 -0.0625 0.002828419 -0.02507841 -0.0625 0.002828419 -0.02507841 -0.06219995 0.001249969 -0.0215283 -0.0625 0 -0.01824992 -0.0625 0.002828419 -0.01942151 -0.06219995 0 -0.01824992 -0.06219995 -0.001249969 -0.0215283 -0.0625 -0.003999948 -0.02224993 -0.0625 -0.002828419 -0.01942151 -0.06219995 -0.002828419 -0.02507841 -0.0625 -0.003999948 -0.02224993 -0.06219995 0 -0.02369338 -0.0625 -0.001249969 -0.02297163 -0.0625 0 -0.02625 -0.0625 -0.002828419 -0.02507841 -0.06219995 0 -0.02625 -0.06219995 0.001249969 -0.02297163 -0.06069993 0.001249969 -0.0215283 -0.06069993 0 -0.02369338 -0.06069993 -0.001249969 -0.02297163 -0.06069993 -0.001249969 -0.0215283 -0.06069993 0 -0.02080661 -0.06069993 -0.001999974 -0.02224993 -0.06019991 -0.00141412 -0.02083569 -0.06019991 -0.00141412 -0.02366417 -0.06019991 0 -0.02424997 -0.06019991 0.00141412 -0.02366417 -0.06019991 0.001999974 -0.02224993 -0.06019991 -0.001999974 -0.02224993 -0.05809998 0 -0.02025002 -0.05809998 0 -0.02424991 -0.05809998 0.001999974 -0.02224993 -0.05809998 0.00141412 -0.02083569 -0.06019991 -0.001649916 -0.02224993 -0.05809998 0 -0.02059996 -0.05809998 0 -0.02389997 -0.05809998 0.001649916 -0.02224993 -0.05809998 0 -0.02024996 -0.06019991 0.001649916 -0.02224993 -0.0464999 0 -0.02389997 -0.0464999 0 -0.02059996 -0.0464999 -0.001649916 -0.02224993 -0.0464999 -0.01942151 0.002828419 -0.0625 -0.01942151 -0.002828419 -0.0625 -0.02224993 -0.003999948 -0.0625 -0.02224993 -0.003999948 -0.06219995 -0.02080661 0 -0.0625 -0.02297163 -0.001249969 -0.0625 -0.02507841 -0.002828419 -0.0625 -0.02507841 -0.002828419 -0.06219995 -0.0215283 -0.001249969 -0.0625 -0.01824992 0 -0.0625 -0.01942151 -0.002828419 -0.06219995 -0.01824992 0 -0.06219995 -0.0215283 0.001249969 -0.0625 -0.02224993 0.003999948 -0.0625 -0.01942151 0.002828419 -0.06219995 -0.02507841 0.002828419 -0.0625 -0.02224993 0.003999948 -0.06219995 -0.02369338 0 -0.0625 -0.02297163 0.001249969 -0.0625 -0.02625 0 -0.0625 -0.02507841 0.002828419 -0.06219995 -0.02625 0 -0.06219995 -0.02297163 -0.001249969 -0.06069993 -0.0215283 -0.001249969 -0.06069993 -0.02369338 0 -0.06069993 -0.02297163 0.001249969 -0.06069993 -0.0215283 0.001249969 -0.06069993 -0.02080661 0 -0.06069993 -0.02224993 0.001999974 -0.06019991 -0.02083569 0.00141412 -0.06019991 -0.02366417 0.00141412 -0.06019991 -0.02424997 0 -0.06019991 -0.02366417 -0.00141412 -0.06019991 -0.02224993 -0.001999974 -0.06019991 -0.02224993 0.001999974 -0.05809998 -0.02025002 0 -0.05809998 -0.02424991 0 -0.05809998 -0.02224993 -0.001999974 -0.05809998 -0.02083569 -0.00141412 -0.06019991 -0.02224993 0.001649916 -0.05809998 -0.02059996 0 -0.05809998 -0.02389997 0 -0.05809998 -0.02224993 -0.001649916 -0.05809998 -0.02024996 0 -0.06019991 -0.02224993 -0.001649916 -0.0464999 -0.02389997 0 -0.0464999 -0.02059996 0 -0.0464999 -0.02224993 0.001649916 -0.0464999 -0.2445 -0.02155625 -0.008958041 -0.2445 -0.02030622 -0.006792962 -0.2445 -0.02030622 -0.008236348 -0.2445 -0.02280622 -0.008236348 -0.2445 -0.02155625 -0.006071329 -0.2445 -0.02280622 -0.006792962 -0.2463 -0.02030622 -0.006792962 -0.2463 -0.02030622 -0.008236348 -0.2463 -0.02155625 -0.006071329 -0.2463 -0.02280622 -0.006792962 -0.2463 -0.02280622 -0.008236348 -0.2463 -0.02155625 -0.008958041 -0.2488999 -0.02355629 -0.007514655 -0.2488999 -0.02155625 -0.009514629 -0.2488999 -0.02155625 -0.005514681 -0.2488999 -0.01955628 -0.007514655 -0.2488999 -0.02320629 -0.007514655 -0.2488999 -0.02155625 -0.00916469 -0.2488999 -0.02155625 -0.00586462 -0.2488999 -0.01990628 -0.007514655 -0.2605 -0.01990628 -0.007514655 -0.2605 -0.02155625 -0.00586462 -0.2605 -0.02155625 -0.00916469 -0.2605 -0.02320629 -0.007514655 -0.2445 -0.02438467 0.00668627 -0.2445 -0.01872777 0.00668627 -0.2445 -0.01755625 0.009514689 -0.2448 -0.01755625 0.009514689 -0.2445 -0.02155625 0.008071303 -0.2445 -0.02030622 0.01023638 -0.2445 -0.01872777 0.01234304 -0.2448 -0.01872777 0.01234304 -0.2445 -0.02030622 0.008792996 -0.2445 -0.02155625 0.005514681 -0.2448 -0.01872777 0.00668627 -0.2448 -0.02155625 0.005514681 -0.2445 -0.02280622 0.008792996 -0.2445 -0.02555632 0.009514689 -0.2448 -0.02438467 0.00668627 -0.2445 -0.02438467 0.01234304 -0.2448 -0.02555632 0.009514689 -0.2445 -0.02155625 0.01095801 -0.2445 -0.02280622 0.01023638 -0.2445 -0.02155625 0.01351463 -0.2448 -0.02438467 0.01234304 -0.2448 -0.02155625 0.01351463 -0.2463 -0.02030622 0.01023638 -0.2463 -0.02030622 0.008792996 -0.2463 -0.02155625 0.01095801 -0.2463 -0.02280622 0.01023638 -0.2463 -0.02280622 0.008792996 -0.2463 -0.02155625 0.008071303 -0.2468 -0.02355629 0.009514689 -0.2468 -0.02297043 0.00810045 -0.2468 -0.02297043 0.0109288 -0.2468 -0.02155625 0.01151466 -0.2468 -0.02014201 0.0109288 -0.2468 -0.01955628 0.009514689 -0.2488999 -0.02355629 0.009514689 -0.2488999 -0.02155625 0.007514715 -0.2488999 -0.02155625 0.0115146 -0.2488999 -0.01955628 0.009514689 -0.2468 -0.02014201 0.00810045 -0.2488999 -0.02320629 0.009514689 -0.2488999 -0.02155625 0.007864654 -0.2488999 -0.02155625 0.0111646 -0.2488999 -0.01990628 0.009514689 -0.2468 -0.02155625 0.007514655 -0.2605 -0.01990628 0.009514689 -0.2605 -0.02155625 0.0111646 -0.2605 -0.02155625 0.007864654 -0.2605 -0.02320629 0.009514689 -0.273 -0.005514681 -0.01955628 -0.273 -0.009514689 -0.02355623 -0.273 -0.01234304 -0.0223847 -0.2727 -0.01234304 -0.0223847 -0.273 -0.008494079 -0.02057689 -0.273 -0.0109089 -0.01992988 -0.273 -0.01351457 -0.01955628 -0.2727 -0.01351463 -0.01955628 -0.273 -0.009888231 -0.02095049 -0.273 -0.00668627 -0.0223847 -0.2727 -0.009514689 -0.02355629 -0.2727 -0.00668627 -0.0223847 -0.273 -0.008120477 -0.01918274 -0.273 -0.00668627 -0.01672786 -0.2727 -0.005514681 -0.01955628 -0.273 -0.009514689 -0.01555627 -0.2727 -0.00668627 -0.01672786 -0.273 -0.01053524 -0.01853567 -0.273 -0.009141087 -0.01816213 -0.273 -0.01234304 -0.01672786 -0.2727 -0.009514689 -0.01555621 -0.2727 -0.01234304 -0.01672786 -0.2712 -0.0109089 -0.01992988 -0.2712 -0.009888231 -0.02095049 -0.2712 -0.01053524 -0.01853567 -0.2712 -0.009141087 -0.01816213 -0.2712 -0.008120477 -0.01918274 -0.2712 -0.008494079 -0.02057689 -0.2707 -0.00810045 -0.0181421 -0.2707 -0.007514655 -0.01955628 -0.2707 -0.009514689 -0.01755625 -0.2707 -0.0109288 -0.0181421 -0.2707 -0.01151466 -0.01955628 -0.2707 -0.0109288 -0.02097052 -0.2686 -0.00810045 -0.0181421 -0.2686 -0.00810045 -0.02097052 -0.2686 -0.0109288 -0.0181421 -0.2686 -0.0109288 -0.02097052 -0.2707 -0.009514689 -0.02155625 -0.2686 -0.008347928 -0.01838958 -0.2686 -0.008347928 -0.02072304 -0.2686 -0.01068139 -0.01838958 -0.2686 -0.01068139 -0.02072304 -0.2707 -0.00810045 -0.02097052 -0.263 -0.01068139 -0.02072304 -0.263 -0.01068139 -0.01838958 -0.263 -0.008347928 -0.02072304 -0.263 -0.008347928 -0.01838958 -0.273 -0.02155625 0.005514681 -0.273 -0.02555626 0.009514689 -0.273 -0.02438467 0.01234304 -0.2727 -0.02438467 0.01234304 -0.273 -0.02257686 0.008494079 -0.273 -0.02192986 0.0109089 -0.273 -0.02155625 0.01351457 -0.2727 -0.02155625 0.01351463 -0.273 -0.02295047 0.009888231 -0.273 -0.02438467 0.00668627 -0.2727 -0.02555632 0.009514689 -0.2727 -0.02438467 0.00668627 -0.273 -0.02118271 0.008120477 -0.273 -0.01872777 0.00668627 -0.2727 -0.02155625 0.005514681 -0.273 -0.01755625 0.009514689 -0.2727 -0.01872777 0.00668627 -0.273 -0.02053558 0.01053524 -0.273 -0.0201621 0.009141087 -0.273 -0.01872777 0.01234304 -0.2727 -0.01755625 0.009514689 -0.2727 -0.01872777 0.01234304 -0.2712 -0.02192986 0.0109089 -0.2712 -0.02295047 0.009888231 -0.2712 -0.02053558 0.01053524 -0.2712 -0.0201621 0.009141087 -0.2712 -0.02118271 0.008120477 -0.2712 -0.02257686 0.008494079 -0.2707 -0.02014201 0.00810045 -0.2707 -0.02155625 0.007514655 -0.2707 -0.01955628 0.009514689 -0.2707 -0.02014201 0.0109288 -0.2707 -0.02155625 0.01151466 -0.2707 -0.02297043 0.0109288 -0.2686 -0.02014201 0.00810045 -0.2686 -0.02297043 0.00810045 -0.2686 -0.02014201 0.0109288 -0.2686 -0.02297043 0.0109288 -0.2707 -0.02355629 0.009514689 -0.2686 -0.02038949 0.008347928 -0.2686 -0.02272295 0.008347928 -0.2686 -0.02038949 0.01068139 -0.2686 -0.02272295 0.01068139 -0.2707 -0.02297043 0.00810045 -0.263 -0.02272295 0.01068139 -0.263 -0.02038949 0.01068139 -0.263 -0.02272295 0.008347928 -0.263 -0.02038949 0.008347928 -0.273 0.003514707 0.02155625 -0.273 0.007514655 0.02555626 -0.273 0.01034313 0.02438467 -0.2727 0.01034313 0.02438467 -0.273 0.006494045 0.02257686 -0.273 0.008908867 0.02192986 -0.273 0.01151466 0.02155625 -0.2727 0.01151466 0.02155625 -0.273 0.007888257 0.02295047 -0.273 0.004686236 0.02438467 -0.2727 0.007514655 0.02555632 -0.2727 0.004686236 0.02438467 -0.273 0.006120443 0.02118271 -0.273 0.004686236 0.01872777 -0.2727 0.003514647 0.02155625 -0.273 0.007514655 0.01755625 -0.2727 0.004686236 0.01872777 -0.273 0.008535325 0.02053558 -0.273 0.007141113 0.0201621 -0.273 0.01034313 0.01872777 -0.2727 0.007514655 0.01755625 -0.2727 0.01034313 0.01872777 -0.2712 0.008908867 0.02192986 -0.2712 0.007888257 0.02295047 -0.2712 0.008535325 0.02053558 -0.2712 0.007141113 0.0201621 -0.2712 0.006120443 0.02118271 -0.2712 0.006494045 0.02257686 -0.2707 0.006100416 0.02014201 -0.2707 0.005514681 0.02155625 -0.2707 0.007514655 0.01955628 -0.2707 0.008928894 0.02014201 -0.2707 0.009514689 0.02155625 -0.2707 0.008928894 0.02297043 -0.2686 0.006100416 0.02014201 -0.2686 0.006100416 0.02297043 -0.2686 0.008928894 0.02014201 -0.2686 0.008928894 0.02297043 -0.2707 0.007514655 0.02355629 -0.2686 0.006347954 0.02038949 -0.2686 0.006347954 0.02272295 -0.2686 0.008681416 0.02038949 -0.2686 0.008681416 0.02272295 -0.2707 0.006100416 0.02297043 -0.263 0.008681416 0.02272295 -0.263 0.008681416 0.02038949 -0.263 0.006347954 0.02272295 -0.263 0.006347954 0.02038949 -0.273 0.01955628 -0.003514707 -0.273 0.02355623 -0.007514655 -0.273 0.0223847 -0.01034313 -0.2727 0.0223847 -0.01034313 -0.273 0.02057689 -0.006494045 -0.273 0.01992988 -0.008908867 -0.273 0.01955628 -0.01151466 -0.2727 0.01955628 -0.01151466 -0.273 0.02095049 -0.007888257 -0.273 0.0223847 -0.004686236 -0.2727 0.02355629 -0.007514655 -0.2727 0.0223847 -0.004686236 -0.273 0.01918274 -0.006120443 -0.273 0.01672786 -0.004686236 -0.2727 0.01955628 -0.003514647 -0.273 0.01555627 -0.007514655 -0.2727 0.01672786 -0.004686236 -0.273 0.01853567 -0.008535325 -0.273 0.01816213 -0.007141113 -0.273 0.01672786 -0.01034313 -0.2727 0.01555621 -0.007514655 -0.2727 0.01672786 -0.01034313 -0.2712 0.01992988 -0.008908867 -0.2712 0.02095049 -0.007888257 -0.2712 0.01853567 -0.008535325 -0.2712 0.01816213 -0.007141113 -0.2712 0.01918274 -0.006120443 -0.2712 0.02057689 -0.006494045 -0.2707 0.0181421 -0.006100416 -0.2707 0.01955628 -0.005514681 -0.2707 0.01755625 -0.007514655 -0.2707 0.0181421 -0.008928894 -0.2707 0.01955628 -0.009514689 -0.2707 0.02097052 -0.008928894 -0.2686 0.0181421 -0.006100416 -0.2686 0.02097052 -0.006100416 -0.2686 0.0181421 -0.008928894 -0.2686 0.02097052 -0.008928894 -0.2707 0.02155625 -0.007514655 -0.2686 0.01838958 -0.006347954 -0.2686 0.02072304 -0.006347954 -0.2686 0.01838958 -0.008681416 -0.2686 0.02072304 -0.008681416 -0.2707 0.02097052 -0.006100416 -0.263 0.02072304 -0.008681416 -0.263 0.01838958 -0.008681416 -0.263 0.02072304 -0.006347954 -0.263 0.01838958 -0.006347954</float_array>
+ <technique_common>
+ <accessor source="#humerus_r-mesh-positions-array" count="6454" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="humerus_r-mesh-normals">
+ <float_array id="humerus_r-mesh-normals-array" count="39720">1 0 0 0 -0.4999706 0.8660424 1 0 0 2.97682e-5 -0.8660424 0.4999706 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.8660381 0.499978 1 0 0 4.28407e-5 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 2.96863e-5 -0.499978 0.8660381 1 0 0 1.32707e-4 0.4999704 0.8660424 1 0 0 1 0 0 -1.04754e-4 4.26431e-5 1 -4.83933e-5 0.8660408 0.4999732 -5.39944e-5 0.5000172 0.8660154 1 0 0 -1.19675e-4 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1.12456e-4 0.8660176 0.5000135 1 0 0 1.87049e-5 0.866041 -0.4999732 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 3.02686e-5 1 4.33159e-5 1 0 0 0 0.4999732 -0.866041 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.8660382 -0.4999778 1 0 0 3.02679e-5 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1.87838e-5 0.4999778 -0.8660382 1 0 0 1.12412e-4 -0.4999732 -0.8660408 1 0 0 1 0 0 -1.19656e-4 -4.33159e-5 -1 -5.40186e-5 -0.8660424 -0.4999704 -4.83455e-5 -0.5000135 -0.8660176 1 0 0 -1.04774e-4 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1.32818e-4 -0.8660154 -0.5000172 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 4.28414e-5 -1 -4.26431e-5 1 0 0 0 -0.9238837 0.3826735 1 0 0 0 -0.3826701 0.9238851 0 -0.3826701 0.9238851 1 0 0 0 -0.9238765 -0.3826907 0 -0.9238837 0.3826735 0 -0.3826777 -0.9238819 1 0 0 0 -0.9238765 -0.3826907 0 0.3826949 -0.9238747 0 -0.3826777 -0.9238819 0 0.9238776 -0.3826882 0 0.3826949 -0.9238747 0 0.9238846 0.382671 0 0.9238776 -0.3826882 1 0 0 0 0.3826873 0.9238779 0 0.9238846 0.382671 1 0 0 0 0.3826873 0.9238779 1 0 0 0 -0.3826705 0.9238849 1 0 0 0 0.3826871 0.9238781 0 0.3826871 0.9238781 1 0 0 0 -0.9238834 0.3826741 1 0 0 1 0 0 0 -0.3826705 0.9238849 1 0 0 0 -0.9238762 -0.3826913 1 0 0 1 0 0 0 -0.9238834 0.3826741 0 -0.3826781 -0.9238818 0 -0.9238762 -0.3826913 0 0.3826947 -0.9238749 0 -0.3826781 -0.9238818 1 0 0 0 0.9238761 -0.3826917 0 0.3826947 -0.9238749 1 0 0 0 0.9238833 0.3826745 0 0.9238761 -0.3826917 1 0 0 1 0 0 0 0.9238833 0.3826745 1 0 0 0 0.3826907 0.9238765 1 0 0 0 0.9238819 0.3826777 1 0 0 1 0 0 0 0.9238819 0.3826777 0 -0.382674 0.9238834 0 0.3826907 0.9238765 0 -0.9238845 0.3826714 0 -0.382674 0.9238834 0 -0.9238774 -0.3826886 0 -0.9238845 0.3826714 1 0 0 0 -0.3826715 -0.9238845 0 -0.9238774 -0.3826886 1 0 0 0 0.3826882 -0.9238776 1 0 0 1 0 0 0 -0.3826715 -0.9238845 1 0 0 0 0.9238747 -0.3826949 1 0 0 0 0.3826882 -0.9238776 1 0 0 0 0.9238747 -0.3826949 1 0 0 0 0.9238818 0.3826781 1 0 0 0 0.9238749 -0.3826947 0 0.9238749 -0.3826947 1 0 0 0 0.3826913 0.9238762 0 0.9238818 0.3826781 1 0 0 0 -0.3826746 0.9238831 1 0 0 0 0.3826913 0.9238762 0 -0.9238843 0.3826718 1 0 0 0 -0.3826746 0.9238831 0 -0.9238775 -0.3826884 0 -0.9238843 0.3826718 1 0 0 0 -0.382675 -0.9238831 0 -0.9238775 -0.3826884 1 0 0 0 0.3826917 -0.9238761 0 -0.382675 -0.9238831 1 0 0 0 0.3826917 -0.9238761 1 0 0 0 0.9238761 -0.3826917 1 0 0 0 0.3826947 -0.9238749 0 0.3826947 -0.9238749 1 0 0 0 0.9238831 0.382675 0 0.9238761 -0.3826917 0 0.3826884 0.9238775 1 0 0 0 0.9238831 0.382675 0 -0.3826718 0.9238843 0 0.3826884 0.9238775 0 -0.9238831 0.3826746 0 -0.3826718 0.9238843 0 -0.9238762 -0.3826913 0 -0.9238831 0.3826746 1 0 0 0 -0.3826781 -0.9238818 0 -0.9238762 -0.3826913 1 0 0 0 -0.3826781 -0.9238818 1 0 0 0 0.3826949 -0.9238747 1 0 0 0 -0.3826777 -0.9238819 0 -0.3826777 -0.9238819 1 0 0 0 0.9238776 -0.3826882 1 0 0 1 0 0 0 0.3826949 -0.9238747 1 0 0 0 0.9238845 0.3826715 1 0 0 1 0 0 0 0.9238776 -0.3826882 0 0.3826886 0.9238774 0 0.9238845 0.3826715 0 -0.3826714 0.9238845 0 0.3826886 0.9238774 1 0 0 0 -0.9238834 0.382674 0 -0.3826714 0.9238845 1 0 0 0 -0.9238765 -0.3826907 0 -0.9238834 0.382674 1 0 0 1 0 0 0 -0.9238765 -0.3826907 1 0 0 0 -0.3826745 -0.9238833 1 0 0 0 -0.9238781 -0.3826871 1 0 0 1 0 0 0 -0.9238781 -0.3826871 0 0.3826917 -0.9238761 0 -0.3826745 -0.9238833 0 0.9238749 -0.3826947 0 0.3826917 -0.9238761 0 0.9238818 0.3826781 0 0.9238749 -0.3826947 1 0 0 0 0.3826913 0.9238762 0 0.9238818 0.3826781 1 0 0 0 -0.3826741 0.9238834 1 0 0 1 0 0 0 0.3826913 0.9238762 1 0 0 0 -0.9238849 0.3826705 1 0 0 0 -0.3826741 0.9238834 1 0 0 0 -0.9238849 0.3826705 1 0 0 0 -0.9238779 -0.3826873 1 0 0 0 -0.9238851 0.3826701 0 -0.9238851 0.3826701 1 0 0 0 -0.382671 -0.9238846 0 -0.9238779 -0.3826873 1 0 0 0 0.3826882 -0.9238776 1 0 0 0 -0.382671 -0.9238846 0 0.9238747 -0.3826949 1 0 0 0 0.3826882 -0.9238776 0 0.9238819 0.3826777 0 0.9238747 -0.3826949 1 0 0 0 0.3826907 0.9238765 0 0.9238819 0.3826777 1 0 0 0 -0.3826735 0.9238837 0 0.3826907 0.9238765 1 0 0 0 -0.3826735 0.9238837 0 -0.2588521 -0.965917 1.03774e-5 -0.9659187 -0.2588458 0 -0.9659299 -0.2588036 -2.80826e-5 0.7071182 -0.7070953 1.02775e-5 -0.2588104 -0.9659281 6.38228e-6 0.9659169 0.2588521 -3.62047e-5 0.7070941 -0.7071194 1 0 0 0 0.2588541 0.9659165 0 0.9659239 0.2588262 1 0 0 -3.12473e-5 -0.7071026 0.7071111 1 0 0 1.14369e-5 0.2588077 0.9659289 -2.83486e-5 -0.7071112 0.7071024 0 -0.965917 0.2588521 1.16174e-5 -0.2588508 0.9659173 0 -0.2588036 0.9659299 -3.20961e-5 -0.7071073 -0.7071064 4.79442e-6 -0.9659222 0.2588326 6.15264e-6 0.2588512 -0.9659172 -3.55775e-5 -0.7071176 -0.7070959 1 0 0 0 0.9659165 -0.2588541 0 0.2588262 -0.9659239 1 0 0 -3.52613e-5 0.7071111 0.7071026 5.95468e-6 0.9659229 -0.2588299 -3.17353e-5 0.7071006 0.707113 0 0.2588541 0.9659165 6.19856e-6 0.9659172 0.2588512 0 0.965924 0.258826 -3.52613e-5 -0.7071026 0.7071111 5.95506e-6 0.2588299 0.965923 1.15715e-5 -0.9659173 -0.2588508 -3.16098e-5 -0.7071133 0.7071002 1 0 0 0 -0.2588521 -0.965917 0 -0.9659299 -0.2588039 1 0 0 -3.20961e-5 0.7071064 -0.7071073 1 0 0 4.79615e-6 -0.2588326 -0.9659222 -3.57029e-5 0.7070956 -0.7071179 0 0.9659165 -0.2588541 4.95854e-6 0.2588461 -0.9659185 0 0.258826 -0.965924 -3.12478e-5 0.7070991 0.7071145 1.14381e-5 0.9659289 -0.2588077 1.18012e-5 -0.2588517 0.9659171 -3.22371e-5 0.707102 0.7071115 1 0 0 0 -0.965917 0.2588521 0 -0.2588039 0.9659299 1 0 0 -2.80822e-5 -0.7071073 -0.7071064 1.02784e-5 -0.9659281 0.2588104 -3.23161e-5 -0.7071198 -0.7070938 0 -0.1816313 0.9833667 -0.01112312 -0.1137657 0.9934453 0 -0.1961472 0.9805744 1.91584e-6 0.1816313 0.9833667 -1.94704e-6 -0.1844685 0.9828385 -0.002892494 -0.1803675 0.9835951 0 0.1137808 0.9935058 0 0.1816341 0.9833663 -0.01117569 -0.3786386 0.9254772 -0.01656293 0.1961203 0.9804399 0.005600214 -0.1370216 0.9905522 0 -0.653751 0.7567098 0 -0.5274444 0.8495897 -0.01118481 -0.3785747 0.9255033 0 -0.7567046 0.6537569 0 -0.653751 0.7567098 0 -0.9255349 0.3786623 0 -0.7567046 0.6537569 -0.01112204 -0.9934443 -0.1137738 -0.0330857 -0.8491244 0.5271556 -0.0111711 -0.9255034 0.3785747 0.005600214 -0.9905522 0.1370216 0 -0.9833667 -0.1816313 0 -0.9805744 -0.1961472 -1.91584e-6 -0.9833667 0.1816313 1.91584e-6 -0.9833666 -0.1816321 0 -0.9935068 0.1137728 0 -0.9833672 0.1816286 -0.01117289 -0.925467 -0.3786635 -0.01656568 -0.9804399 0.1961203 0.005602002 -0.9905524 -0.1370195 0 -0.7567098 -0.653751 0 -0.8495811 -0.527458 -0.01118564 -0.9255031 -0.3785747 0 -0.6537678 -0.7566952 0 -0.7567098 -0.653751 0 -0.3786623 -0.9255349 0 -0.6537678 -0.7566952 -0.01111608 0.1138348 -0.9934375 -0.03306174 -0.5270519 -0.8491898 -0.01115804 -0.3785459 -0.9255152 0.005611121 -0.1370353 -0.9905502 0 0.1816261 -0.9833677 0 0.1961633 -0.9805713 1.95935e-6 -0.1816261 -0.9833676 -1.9856e-6 0.1844651 -0.9828391 -0.00289452 0.1803613 -0.9835962 0 -0.1138338 -0.9934998 0 -0.181629 -0.9833672 -0.01116186 0.3786636 -0.9254671 -0.01655691 -0.1961364 -0.9804369 0.005612909 0.1370332 -0.9905505 0 0.6537511 -0.7567096 0 0.5273539 -0.8496457 -0.01117873 0.3785459 -0.9255149 0 0.7567032 -0.6537585 0 0.6537511 -0.7567096 0 0.9255247 -0.3786872 0 0.7567032 -0.6537585 -0.01111716 0.9934385 0.1138268 -0.03305745 0.8491814 -0.5270656 -0.01115345 0.9255152 -0.3785459 0.005612909 0.9905505 -0.1370332 0 0.9833676 0.1816262 0 0.9805713 0.1961633 1.91578e-6 0.9833676 -0.181626 -1.94704e-6 0.9828392 0.1844643 -0.002893567 0.9835962 0.1803618 0 0.9934989 -0.1138418 0 0.9833672 -0.1816288 -0.01116466 0.9254773 0.3786387 -0.01655411 0.9804369 -0.1961364 0.005611121 0.9905502 0.1370353 0 0.7567096 0.6537511 0 0.8496542 0.5273402 -0.01117795 0.9255151 0.3785459 0 0.6537476 0.7567127 0 0.7567096 0.6537511 0 0.3786872 0.9255247 0 0.6537476 0.7567127 -0.03308141 0.5271693 0.8491162 -0.01116651 0.3785747 0.9255034 0.005602002 0.1370195 0.9905524 -1 0 0 0 0.2588174 -0.9659263 -1 0 0 -2.38767e-5 0.9659263 -0.2588174 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.9659404 -0.2587644 -1 0 0 3.05472e-5 -0.7071074 -0.7071062 -1 0 0 -2.38816e-5 0.2587644 -0.9659404 -1 0 0 6.99136e-5 -0.9659262 0.2588179 -1 0 0 -1 0 0 -1 0 0 -6.96489e-5 -0.7072704 -0.7069432 -1 0 0 0 -0.2588179 0.9659262 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9658845 0.2589733 -1 0 0 3.05593e-5 0.7071062 0.7071074 -1 0 0 -6.96489e-5 0.7069432 0.7072704 6.99331e-5 -0.2589733 0.9658845 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8910151 -0.4539736 -1 0 0 -2.62188e-5 0.4539736 -0.8910151 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.4539925 -0.8910055 -1 0 0 2.75546e-5 0.9876909 0.1564185 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.62206e-5 0.8910055 -0.4539925 -1 0 0 -5.31047e-5 0.7071084 0.7071052 -1 0 0 5.61292e-5 0.9876873 0.1564413 -1 0 0 5.58793e-5 0.1564186 0.9876909 -1 0 0 -1 0 0 -5.08925e-5 0.7071072 0.7071064 -1 0 0 -2.18541e-5 -0.4539715 0.8910163 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 3.24188e-5 0.1564373 0.9876879 -1 0 0 0 -0.8910163 0.4539715 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.4539872 0.8910082 -1 0 0 3.24173e-5 -0.9876909 -0.1564186 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.18134e-5 -0.8910082 0.4539872 -1 0 0 -5.08928e-5 -0.7071052 -0.7071084 -1 0 0 5.58762e-5 -0.9876879 -0.1564373 -1 0 0 5.61331e-5 -0.1564185 -0.9876909 -1 0 0 -1 0 0 -5.3105e-5 -0.7071064 -0.7071072 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 2.75565e-5 -0.1564413 -0.9876872 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3059058 0.9520618 -2.28423e-5 -0.358397 0.9335693 0 -0.3611323 0.9325146 -1 0 0 0.02375078 0.994374 -0.1032295 -1 0 0 0.07645517 -0.173021 0.9819462 -0.01447117 0.7831118 0.6217127 0.03471332 0.2159558 0.9757859 -1 0 0 0 0.7071068 -0.7071068 -1 0 0 0 0.7071068 -0.7071068 0 0.9553819 -0.2953733 -1 0 0 0 0.4706429 -0.8823238 -1 0 0 -1 0 0 0 -0.1000679 -0.9949806 -1 0 0 0 0.4706429 -0.8823238 -1 0 0 0 -0.1964724 -0.9805094 -1 0 0 0 -0.1000679 -0.9949806 -1.00834e-6 0.1964663 -0.9805106 -1 0 0 1.00614e-6 -0.1964694 -0.9805099 0 0.100068 -0.9949806 0 0.1964694 -0.9805099 0 -0.4706429 -0.8823238 0 0.100068 -0.9949806 0 -0.7071102 -0.7071034 0 -0.7071102 -0.7071034 0 -0.4706429 -0.8823238 0 -0.9946513 -0.1032903 0.02846217 -0.3057726 0.951679 0.03206205 -0.9548807 -0.2952542 -0.01447188 -0.7831117 0.6217126 0 0.1844748 0.9828373 0 0.1735146 0.9848313 0.01945209 -0.2160451 0.9761897 -0.1765184 0.3530282 0.9188103 -0.1789262 0.3552632 0.917482 0 0.9520696 -0.3058816 -2.34473e-5 0.9335623 0.3584151 0 0.9324796 0.3612227 0.02375066 -0.1032261 -0.9943743 0.07644867 0.9819494 0.1730058 -0.01447248 0.6217333 -0.7830953 0.03470832 0.9757861 -0.2159557 0 -0.7071102 -0.7071034 0 -0.7071102 -0.7071034 0 -0.295361 -0.9553857 0 -0.8823115 -0.4706659 0 -0.9949805 0.1000687 0 -0.8823115 -0.4706659 0 -0.9805073 0.1964833 0 -0.9949805 0.1000687 2.40671e-7 -0.9805071 -0.1964834 -2.43592e-7 -0.9805071 0.196484 0 -0.9949805 -0.1000688 0 -0.9805073 -0.1964826 0 -0.8823115 0.4706659 0 -0.9949805 -0.1000688 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 -0.8823115 0.4706659 0 -0.1032869 0.9946516 0.02845901 0.9516869 0.3057486 0.03206151 -0.295242 0.9548844 -0.01447314 0.6217333 0.7830953 0 0.982838 -0.1844707 0 0.9848341 -0.1734991 0.01945132 0.9761897 0.2160451 -0.1765409 0.9188001 -0.3530435 -0.1790202 0.9174318 -0.355346 0 -0.3058724 -0.9520725 -2.08919e-5 0.3586795 -0.9334607 0 0.3611807 -0.9324958 -1 0 0 0.02375119 -0.9943711 0.1032578 -1 0 0 0.07644742 0.1729914 -0.9819521 -0.01447314 -0.7830953 -0.6217333 0.03470808 -0.2159557 -0.975786 -1 0 0 0 -0.7071068 0.7071068 -1 0 0 0 -0.7071068 0.7071068 0 -0.9553756 0.2953938 -1 0 0 0 -0.4706659 0.8823115 -1 0 0 -1 0 0 0 0.1000688 0.9949805 -1 0 0 0 -0.4706659 0.8823115 -1 0 0 0 0.1964803 0.9805078 -1 0 0 0 0.1000688 0.9949805 1.00845e-6 -0.1964864 0.9805066 -1 0 0 -1.01143e-6 0.1964833 0.9805073 0 -0.1000687 0.9949805 0 -0.1964833 0.9805073 0 0.4706659 0.8823115 0 -0.1000687 0.9949805 0 0.7071034 0.7071102 0 0.7071034 0.7071102 0 0.4706659 0.8823115 0 0.9946548 0.1032553 0.02845859 0.3057577 -0.9516839 0.03206104 0.9548946 0.2952092 -0.01447248 0.7830953 -0.6217333 0 -0.1844698 -0.9828382 0 -0.1735135 -0.9848315 0.01945036 0.2160451 -0.9761897 -0.1762822 -0.3528042 -0.9189416 -0.1790637 -0.3553844 -0.9174084 0 0.1032586 -0.9946545 0 0.7071068 -0.7071068 0.02846181 -0.9516761 -0.3057818 0.03206151 0.2952214 -0.9548907 -0.01447117 -0.6217126 -0.7831117 0 -0.9828384 0.1844684 0 -0.9848288 0.173529 0.01945114 -0.9761897 -0.2160451 -0.002829492 -0.9828333 -0.1844741 -0.1789802 -0.917457 0.355301 -0.1762694 -0.9189513 0.3527852 0 -0.9520648 0.3058965 -2.02873e-5 -0.9334678 -0.3586614 0 -0.9325309 -0.3610904 0.02375131 0.1032611 0.9943706 0.07645398 -0.9819489 -0.1730067 -0.01447188 -0.6217126 0.7831117 0.03471314 -0.9757858 0.2159558 0 0.7071034 0.7071102 0 0.7071034 0.7071102 0 0.2954061 0.9553718 0 0.8823238 0.4706429 0 0.9949806 -0.100068 0 0.8823238 0.4706429 0 0.9805086 -0.1964759 0 0.9949806 -0.100068 -7.39513e-6 0.9805113 0.1964628 -2.61065e-6 0.980507 -0.1964839 0 0.9949806 0.1000679 0 0.9805067 0.1964852 0 0.8823238 -0.4706429 0 0.9949806 0.1000679 0 0.7071068 -0.7071068 0 0.8823238 -0.4706429 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 4.75884e-4 -1 0 0 -1 1.6829e-4 4.78677e-4 1 0 4.78758e-4 1.69279e-4 -0.9999999 0 0 1 0 1 -1.69279e-4 4.75964e-4 -1.6829e-4 0.9999999 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 -1 0 0 0 -0.6087895 0.7933319 -1 0 0 0 -0.1304934 0.9914492 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.1304934 0.9914492 -1 0 0 0 -0.8660362 0.4999813 -1 0 0 -1 0 0 -1 0 0 0 -0.6087895 0.7933319 -1 0 0 0.2203013 -0.9421889 0.2524822 -1 0 0 -1 0 0 0 -0.9914491 -0.1304939 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9238793 0.3826839 -1 0 0 0 -0.7933334 -0.6087874 -1 0 0 0 -0.9914491 -0.1304939 -1 0 0 0 -0.4999801 -0.8660369 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.7933334 -0.6087874 -1 0 0 0.220299 -0.2524836 -0.9421892 -1 0 0 -1 0 0 0 0.1304945 -0.9914491 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.3826838 -0.9238793 -1 0 0 0 0.608787 -0.7933338 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.1304945 -0.9914491 -1 0 0 0 0.8660389 -0.4999766 -1 0 0 -1 0 0 -1 0 0 0 0.608787 -0.7933338 -1 0 0 0.2202958 0.9421893 -0.2524856 -1 0 0 -1 0 0 0 0.9914491 0.130494 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.9238794 -0.3826838 -1 0 0 0 0.7933321 0.608789 -1 0 0 0 0.9914491 0.130494 -1 0 0 0 0.4999778 0.8660382 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7933321 0.608789 -1 0 0 0.2202981 0.2524843 0.9421893 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3826839 0.9238794 0 0 1 0 -0.7070851 0.7071286 0 -0.7070851 0.7071286 0 0.7070845 0.7071291 0 0 1 -1 0 0 0 1 0 -1 0 0 -1 0 0 0 0.7070845 0.7071291 -1 0 0 0 0.7071081 -0.7071055 -1 0 0 0 1 0 -1 0 0 0 0 -1 0 0.7071081 -0.7071055 -1 0 0 0 -0.7071087 -0.707105 0 0 -1 0 -1 0 0 -0.7071087 -0.707105 0 -1 0 0 -0.3826782 0.9238818 0 -0.9238818 0.3826782 0 -0.9238818 0.3826782 0 0.3826951 0.9238747 0 -0.3826782 0.9238818 0 0.9238846 0.3826712 0 0.3826951 0.9238747 -1 0 0 0 0.9238775 -0.3826882 -1 0 0 -1 0 0 0 0.9238846 0.3826712 -1 0 0 0 0.3826882 -0.9238775 0 0.9238775 -0.3826882 -1 0 0 0 -0.3826712 -0.9238846 0 0.3826882 -0.9238775 -1 0 0 0 -0.9238747 -0.3826951 0 -0.3826712 -0.9238846 -1 0 0 0 -0.9238747 -0.3826951 -1 0 0 0 -0.9238794 0.3826838 -1 0 0 0 -0.923878 -0.3826872 0 -0.923878 -0.3826872 -1 0 0 0 -0.3826712 0.9238846 0 -0.9238794 0.3826838 -1 0 0 0 0.3826906 0.9238767 -1 0 0 0 -0.3826712 0.9238846 -1 0 0 0 0.9238794 0.3826838 -1 0 0 0 0.3826906 0.9238767 -1 0 0 0 0.923878 -0.3826872 -1 0 0 -1 0 0 0 0.9238794 0.3826838 -1 0 0 0 0.3826906 -0.9238767 -1 0 0 -1 0 0 -1 0 0 0 0.923878 -0.3826872 -1 0 0 0 -0.3826712 -0.9238846 -1 0 0 0 0.3826906 -0.9238767 0 -0.3826712 -0.9238846 0 -1 0 0 -0.7071264 -0.7070872 0 -0.7071264 -0.7070872 0 -0.7071053 0.7071083 0 -1 0 0 0 1 0 -0.7071053 0.7071083 0 0.7070817 0.7071319 0 0 1 -1 0 0 0 1 0 0 0.7070817 0.7071319 -1 0 0 0 0.7071028 -0.7071108 -1 0 0 0 1 0 0 0 -1 0 0.7071028 -0.7071108 0 0 -1 0 -0.9238758 -0.3826925 0 -0.3826719 -0.9238843 0 -0.3826719 -0.9238843 0 -0.9238818 0.3826779 0 -0.9238758 -0.3826925 0 -0.3826712 0.9238846 0 -0.9238818 0.3826779 0 0.3826882 0.9238775 0 -0.3826712 0.9238846 -1 0 0 0 0.9238847 0.382671 0 0.3826882 0.9238775 -1 0 0 0 0.9238786 -0.3826856 -1 0 0 -1 0 0 -1 0 0 0 0.9238847 0.382671 -1 0 0 0 0.3826889 -0.9238774 0 0.9238786 -0.3826856 0 0.3826889 -0.9238774 0 -0.3826851 -0.9238789 0 0.3826884 -0.9238774 0 0.3826884 -0.9238774 0 -0.9238764 -0.382691 0 -0.3826851 -0.9238789 -1 0 0 0 -0.9238836 0.3826739 0 -0.9238764 -0.382691 -1 0 0 0 -0.3826913 0.9238762 -1 0 0 0 -0.9238836 0.3826739 -1 0 0 0 0.3826947 0.9238748 0 -0.3826913 0.9238762 -1 0 0 0 0.9238836 0.3826739 0 0.3826947 0.9238748 -1 0 0 0 0.9238764 -0.382691 -1 0 0 0 0.9238836 0.3826739 0 0.9238764 -0.382691 0 0 -1 0 0.7071101 -0.7071034 0 0.7071101 -0.7071034 0 -0.7071311 -0.7070825 0 0 -1 -1 0 0 0 -1 0 0 -0.7071311 -0.7070825 -1 0 0 0 -0.7071319 0.7070817 -1 0 0 0 -1 0 -1 0 0 0 0 1 0 -0.7071319 0.7070817 -1 0 0 0 0.7071108 0.7071028 0 0 1 0 1 0 0 0.7071108 0.7071028 0 1 0 0 0.3826863 -0.9238784 0 0.9238784 -0.3826863 0 0.9238784 -0.3826863 0 -0.3826717 -0.9238845 0 0.3826863 -0.9238784 0 -0.9238786 -0.3826856 0 -0.3826717 -0.9238845 -1 0 0 0 -0.9238847 0.382671 -1 0 0 -1 0 0 0 -0.9238786 -0.3826856 -1 0 0 0 -0.382671 0.9238847 0 -0.9238847 0.382671 -1 0 0 0 0.3826856 0.9238786 0 -0.382671 0.9238847 -1 0 0 0 0.9238845 0.3826717 0 0.3826856 0.9238786 -1 0 0 0 0.9238845 0.3826717 -1 0 0 0 0.9238774 -0.3826884 -1 0 0 0 0.9238789 0.3826851 0 0.9238789 0.3826851 -1 0 0 0 0.382691 -0.9238764 0 0.9238774 -0.3826884 -1 0 0 0 -0.3826739 -0.9238836 -1 0 0 0 0.382691 -0.9238764 -1 0 0 0 -0.9238748 -0.3826947 -1 0 0 0 -0.3826739 -0.9238836 -1 0 0 0 -0.9238762 0.3826913 -1 0 0 -1 0 0 0 -0.9238748 -0.3826947 -1 0 0 0 -0.3826739 0.9238836 -1 0 0 -1 0 0 -1 0 0 0 -0.9238762 0.3826913 -1 0 0 0 0.382691 0.9238764 -1 0 0 0 -0.3826739 0.9238836 0 0.382691 0.9238764 0 1 0 0 0.7071057 0.7071079 0 0.7071057 0.7071079 0 0.7071062 -0.7071074 0 1 0 0 0 -1 0 0.7071062 -0.7071074 0 -0.7071055 -0.7071081 0 0 -1 -1 0 0 0 -1 0 0 -0.7071055 -0.7071081 -1 0 0 0 -0.707105 0.7071087 -1 0 0 0 -1 0 0 0 1 0 -0.707105 0.7071087 0 0 1 0 0.9238843 0.3826719 0 0.3826925 0.9238758 0 0.3826925 0.9238758 0 0.9238774 -0.3826889 0 0.9238843 0.3826719 0 0.3826856 -0.9238786 0 0.9238774 -0.3826889 0 -0.382671 -0.9238847 0 0.3826856 -0.9238786 -1 0 0 0 -0.9238775 -0.3826882 0 -0.382671 -0.9238847 -1 0 0 0 -0.9238846 0.3826712 -1 0 0 -1 0 0 -1 0 0 0 -0.9238775 -0.3826882 -1 0 0 0 -0.3826779 0.9238818 0 -0.9238846 0.3826712 0 -0.3826779 0.9238818 0 0.3826872 0.923878 0 -0.3826838 0.9238794 0 -0.3826838 0.9238794 0 0.9238846 0.3826712 0 0.3826872 0.923878 -1 0 0 0 0.9238767 -0.3826906 0 0.9238846 0.3826712 -1 0 0 0 0.3826872 -0.923878 -1 0 0 0 0.9238767 -0.3826906 -1 0 0 0 -0.3826838 -0.9238794 0 0.3826872 -0.923878 -1 0 0 0 -0.9238767 -0.3826906 0 -0.3826838 -0.9238794 0 -0.9238846 0.3826712 0 -0.9238767 -0.3826906 0 -0.9238846 0.3826712 -1 0 0 0 0.9969158 0.07847774 -1 0 0 0 0.7604182 0.6494337 0 0.7604182 0.6494337 0 0.8526572 -0.5224708 -1 0 0 0 0.9969158 0.07847774 0 0.3826816 -0.9238803 0 0.8526572 -0.5224708 -1 0 0 0 -0.233473 -0.9723634 -1 0 0 0 0.3826816 -0.9238803 -1 0 0 0 -0.7604175 -0.6494344 -1 0 0 0 -0.233473 -0.9723634 -1 0 0 0 -0.9969158 -0.07847791 0 -0.7604175 -0.6494344 0 -0.8526547 0.5224748 -1 0 0 0 -0.9969158 -0.07847791 0 -0.3826841 0.9238792 0 -0.8526547 0.5224748 -1 0 0 0 0.2334765 0.9723624 -1 0 0 0 -0.3826841 0.9238792 -1 0 0 0 0.2334765 0.9723624 -0.6546518 -0.09866255 -0.7494643 -0.6120021 0.6274269 -0.4814447 -0.6785891 0.5193944 -0.519371 -0.5960972 -0.7417955 -0.3072578 -0.7253804 -0.486749 -0.4867223 -0.5582849 0 -0.8296493 -0.6120039 -0.6274257 0.4814439 -0.7253811 -0.6883475 0 -0.6546486 0.09867399 0.7494657 -0.6785885 -0.5193971 0.5193692 -0.5960862 0.7417978 0.3072739 -0.5582704 0 0.829659 -0.7253686 0.4867553 0.4867339 -0.7253795 0.6883491 0 -0.6546503 0.7494655 -0.09866273 -0.6119974 0.4814403 0.6274349 -0.6785996 0.5193754 0.5193764 -0.5960888 0.3072693 -0.7417976 -0.7253786 0.4867365 -0.4867374 -0.558285 0.8296493 0 -0.612002 -0.4814448 -0.6274269 -0.7253795 0 -0.6883491 -0.6546477 -0.7494665 0.0986728 -0.6785986 -0.5193764 -0.5193768 -0.596082 -0.307266 0.7418045 -0.5582705 -0.829659 0 -0.7253738 -0.4867405 0.4867409 -0.7253724 0 0.6883565 -0.6546586 0.09867173 0.7494572 -0.6119973 -0.6274349 0.4814402 -0.6786108 -0.5193555 0.5193815 -0.5960862 0.7417978 0.3072739 -0.7253778 0.4867254 0.4867498 -0.5582851 0 0.8296492 -0.6119943 0.6274313 -0.4814487 -0.7253795 0.6883491 0 -0.6546506 -0.09866261 -0.7494654 -0.6786026 0.5193604 -0.5193874 -0.5960794 -0.7418077 -0.3072631 -0.5582851 0 -0.8296492 -0.7253788 -0.4867243 -0.4867496 -0.7253724 -0.6883565 0 -0.6546601 -0.7494559 0.09867155 -0.612002 -0.4814446 -0.6274269 -0.6786004 -0.5193772 -0.5193736 -0.5960947 -0.3072624 0.7417958 -0.7253797 -0.4867357 0.486737 -0.558285 -0.8296492 0 -0.6119962 0.4814478 0.6274302 -0.7253811 0 0.6883475 -0.6546515 0.7494645 -0.0986638 -0.6785926 0.5193803 0.5193807 -0.5960837 0.307271 -0.741801 -0.5582851 0.8296492 0 -0.7253736 0.486743 -0.4867386 -0.7253795 0 -0.6883491 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6891504 -0.4706148 0.5509932 0.6888856 -0.05685734 0.7226367 0.6891305 -0.05685395 0.7224035 0.6891098 -0.7046309 0.1691835 0.6888728 -0.4707733 0.5512049 0.6888445 -0.6697286 -0.2774108 0.6893244 -0.7044354 0.1691231 0.6893609 -0.3784943 -0.617676 0.6888743 -0.6697018 -0.2774017 0.6888489 0.05686032 -0.7226716 0.6890947 -0.3786404 -0.6178833 0.6891269 0.4706262 -0.5510128 0.6891345 0.05685639 -0.7223994 0.6891598 0.7045856 -0.1691687 0.6889017 0.4707548 -0.5511845 0.6888382 0.6697338 0.2774142 0.6893283 0.704432 -0.1691213 0.6893008 0.3785272 0.6177229 0.6888093 0.6697597 0.277423 0.6891266 0.378623 0.6178587 1 0 0 0 0.2334548 -0.9723677 1 0 0 -0.4732056 0.4602874 -0.7511404 1 0 0 1 0 0 1 0 0 0 0.649447 -0.7604068 1 0 0 -0.4731191 -0.06910538 -0.878284 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 7.00539e-5 -0.3826803 -0.9238809 1 0 0 1 0 0 1.70837e-5 0.0784623 -0.9969171 1 0 0 -0.4732015 -0.572151 -0.6698683 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.485e-5 -0.8526428 -0.5224941 1 0 0 1 0 0 9.82628e-5 -0.5224996 -0.8526395 1 0 0 -0.4731851 -0.85662 -0.205665 1 0 0 6.08061e-5 -0.9969189 0.07843983 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -6.42527e-5 -0.9238786 -0.382686 1 0 0 -0.4731379 -0.8139255 0.3371435 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 2.88711e-5 -0.7603939 0.6494624 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 8.4764e-5 -0.972369 0.2334494 1 0 0 -0.4732037 -0.46029 0.7511399 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.2334567 0.9723672 1 0 0 1 0 0 1 0 0 0 -0.6494479 0.760406 1 0 0 -0.473118 0.06910526 0.8782845 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 6.32688e-5 0.3826876 0.9238778 1 0 0 1 0 0 3.24407e-6 -0.07845854 0.9969174 1 0 0 -0.4731826 0.5721504 0.6698822 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.41694e-5 0.8526482 0.5224856 1 0 0 1 0 0 9.75304e-5 0.5224972 0.8526411 1 0 0 -0.473171 0.8566269 0.2056685 1 0 0 6.06822e-5 0.9969189 -0.07843965 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -6.37297e-5 0.9238799 0.3826828 1 0 0 -0.4731298 0.8139324 -0.3371384 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 2.59622e-5 0.7603922 -0.6494642 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 7.29908e-5 0.9723693 -0.2334481 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.707069 -0.7071446 8.75995e-5 3.56659e-5 -1 0 0 -1 -3.58614e-4 1 -3.62148e-5 1.86747e-4 0.7071228 -0.7070907 -2.54571e-4 0.7070705 0.707143 -2.69672e-4 0.9999999 0 8.89895e-5 -3.62318e-5 1 -4.34437e-4 0.7071223 0.7070912 0 -0.7070686 0.707145 0 0 1 -3.41914e-4 -0.9999999 6.67711e-5 1.98503e-4 -0.7071258 0.7070879 -1.88716e-4 -0.7070523 -0.7071613 1 0 0 -1.77928e-4 -1 0 -4.45266e-4 -0.7071261 -0.7070873 0 0.7071418 0.7070719 8.75995e-5 1 3.5667e-5 0 1 0 -4.47555e-4 7.24297e-5 0.9999999 1.23842e-4 0.7071061 0.7071075 -2.54567e-4 -0.7071611 0.7070524 -2.69672e-4 0 0.9999999 8.899e-5 -1 -3.62332e-5 -4.44223e-4 -0.7071064 0.707107 0 -0.7071422 -0.7070714 0 -1 0 -4.47555e-4 -7.24296e-5 -0.9999999 1.23842e-4 -0.7071065 -0.7071071 -2.53584e-4 0.7071613 -0.7070523 -2.69672e-4 0 -0.9999999 -4.45254e-4 0.707106 -0.7071074 0 -0.7070534 0.7071601 1.7798e-4 -7.24663e-5 1 0 0 1 -4.47555e-4 -0.9999999 7.24271e-5 1.23845e-4 -0.7070891 0.7071245 -2.54567e-4 -0.7070522 -0.7071614 -2.69672e-4 -0.9999999 0 1.7937e-4 7.30325e-5 -1 -3.80404e-4 -0.7070884 -0.7071251 0 0.7070731 -0.7071405 0 0 -1 -4.47562e-4 1 -7.243e-5 5.31061e-5 0.7070884 -0.7071252 -2.53584e-4 0.7070523 0.7071613 1 0 0 -2.69672e-4 0.9999999 0 -3.81435e-4 0.7070891 0.7071245 0 -0.707163 -0.7070506 1.7798e-4 -1 -7.24641e-5 0 -1 0 -3.58614e-4 -3.62136e-5 -1 1.86752e-4 -0.7071092 -0.7071044 -2.5457e-4 0.7071433 -0.7070703 -2.69672e-4 0 -0.9999999 1.79369e-4 1 7.30298e-5 -3.70616e-4 0.7071098 -0.7071036 0 0.7071433 0.7070702 0 1 0 -3.4192e-4 6.67714e-5 1 1.2787e-4 0.7071065 0.7071071 -1.88716e-4 -0.7071613 0.7070523 -1.77928e-4 0 1 -3.81445e-4 -0.7071057 0.7071077 0 0 1 0 1 0 0 0 1 -1 0 0 0 1 0 0 1 0 -1 0 0 0 0 1 -0.216121 0.9763666 9.89769e-7 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2161211 0.9763665 0 0 0 1 0.0176416 0.9998444 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2161212 0.9763666 0 -0.2161212 0.9763665 0 -0.2161202 0.9763667 -4.95388e-5 0 0 1 0.4691506 0.8831182 0 0 0 1 0 0 1 0 0 1 0 0 1 0.0176416 0.9998444 0 0 0 1 0.8187591 0.5741372 0 0 0 1 0.4691506 0.8831182 0 0 0 1 0.9901109 0.1402869 0 0 0 1 0 0 1 0 0 1 0.8187591 0.5741372 0 0 0 1 0.9460257 -0.3240916 0 0 0 1 0 0 1 0.9901109 0.1402869 0 0 0 1 0.6960131 -0.7180291 0 0 0 1 0 0 1 0 0 1 0 0 1 0.9460257 -0.3240916 0 0 0 1 0.2947034 -0.9555889 0 0 0 1 0 0 1 0 0 1 0.6960131 -0.7180291 0 0 0 1 0.06361812 -0.9979743 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2947034 -0.9555889 0 0 -1 0 0 0 1 0 0 1 0 0 1 0.06361812 -0.9979743 0 0 -1 0 -1 0 0 -1 0 0 -0.8660216 -0.5000066 0 -0.8660216 0.5000066 0 -0.8660216 0.5000066 0 0 -1 0 -0.8660216 -0.5000066 0 0 0 1 0.8660216 -0.5000066 0 0 -1 0 0 0 1 0.8660216 0.5000066 0 0 0 1 0 0 1 0.8660216 -0.5000066 0 0 1 0 0.8660216 0.5000066 0 0 1 0 -0.9659229 0.2588301 0 -0.2588301 0.9659229 0 -0.2588301 0.9659229 0 0 0 1 -0.7071068 -0.7071068 0 -0.9659229 0.2588301 0 0 0 1 0.2588301 -0.9659229 0 -0.7071068 -0.7071068 0 0 0 1 0.9659229 -0.2588301 0 0 0 1 0.2588301 -0.9659229 0 0.7071068 0.7071068 0 0.9659229 -0.2588301 0 0.7071068 0.7071068 0 -0.5000066 0.8660216 0 0 0 1 0.5000066 0.8660216 0 0 0 1 0 0 1 0.5000066 0.8660216 0 -1 0 0 -0.5000066 0.8660216 0 0 0 1 -0.5000066 -0.8660216 0 0 0 1 -1 0 0 0 0 1 0.5000066 -0.8660216 0 0 0 1 -0.5000066 -0.8660216 0 0 0 1 1 0 0 0.5000066 -0.8660216 0 1 0 0 0 0 1 0.2588301 0.9659229 0 0 0 1 0.9659229 0.2588301 0 0.9659229 0.2588301 0 0 0 1 -0.7071068 0.7071068 0 0 0 1 0.2588301 0.9659229 0 0 0 1 -0.9659229 -0.2588301 0 -0.7071068 0.7071068 0 0 0 1 -0.2588301 -0.9659229 0 0 0 1 -0.9659229 -0.2588301 0 0 0 1 0.7071068 -0.7071068 0 -0.2588301 -0.9659229 0 0 0 1 0.7071068 -0.7071068 0 0 0 1 0.8660216 0.5000066 0 0 0 1 0.8660216 -0.5000066 0 0 0 1 0.8660216 -0.5000066 0 0 0 1 0 1 0 0.8660216 0.5000066 0 0 0 1 -0.8660216 0.5000066 0 0 0 1 0 1 0 0 0 1 -0.8660216 -0.5000066 0 0 0 1 -0.8660216 0.5000066 0 0 0 1 0 -1 0 0 0 1 0 0 1 -0.8660216 -0.5000066 0 0 -1 0 0 0 1 0.9659229 -0.2588301 0 0 0 1 0.2588301 -0.9659229 0 0 0 1 0.2588301 -0.9659229 0 0 0 1 0.7071068 0.7071068 0 0 0 1 0 0 1 0 0 1 0.9659229 -0.2588301 0 0 0 1 -0.2588301 0.9659229 0 0.7071068 0.7071068 0 0 0 1 -0.9659229 0.2588301 0 0 0 1 -0.2588301 0.9659229 0 0 0 1 -0.7071068 -0.7071068 0 -0.9659229 0.2588301 0 0 0 1 -0.7071068 -0.7071068 0 0.5000066 -0.8660216 0 -0.5000066 -0.8660216 0 -0.5000066 -0.8660216 0 1 0 0 0.5000066 -0.8660216 0 0 0 1 0.5000066 0.8660216 0 1 0 0 0 0 1 -0.5000066 0.8660216 0 0 0 1 0.5000066 0.8660216 0 0 0 1 -1 0 0 -0.5000066 0.8660216 0 -1 0 0 -0.2588301 -0.9659229 0 -0.9659229 -0.2588301 0 -0.9659229 -0.2588301 0 0.7071068 -0.7071068 0 -0.2588301 -0.9659229 0 0 0 1 0.9659229 0.2588301 0 0.7071068 -0.7071068 0 0 0 1 0.2588301 0.9659229 0 0 0 1 0.9659229 0.2588301 0 0 0 1 -0.7071068 0.7071068 0 0.2588301 0.9659229 0 0 0 1 -0.7071068 0.7071068 0 0 0 1 0.8660296 0.4999927 0 0.8660226 -0.5000048 0 0 0 1 0 0 1 0 0 1 0 0 1 0.8660226 -0.5000048 0 0 0 1 0 1 0 0.8660296 0.4999927 0 0 0 1 -0.8660506 0.4999563 0 0 0 1 0 0 1 0 1 0 0 0 1 -0.8660436 -0.4999684 0 0 0 1 0 0 1 -0.8660506 0.4999563 0 0 0 1 0 -1 0 0 0 1 0 0 1 -0.8660436 -0.4999684 0 0 0 1 0 0 1 0 -1 0 0 0 1 0.8660297 0.4999926 0 0.8660226 -0.5000048 0 0 0 1 0 0 1 0.8660226 -0.5000048 0 0 0 1 0 1 0 0 0 1 0.8660297 0.4999926 0 0 0 1 -0.8660297 0.4999926 0 0 1 0 0 0 1 -0.8660226 -0.5000048 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660297 0.4999926 0 0 -1 0 0 0 1 -0.8660226 -0.5000048 0 0 -1 0 0 0 1 -0.8660227 -0.5000047 0 0 0 1 -0.8660303 0.4999914 0 -0.8660303 0.4999914 0 0 0 1 0 -1 0 -0.8660227 -0.5000047 0 0 0 1 0.8660227 -0.5000047 0 0 -1 0 0 0 1 0.8660303 0.4999914 0 0 0 1 0.8660227 -0.5000047 0 0 0 1 0 1 0 0.8660303 0.4999914 0 0 0 1 0 1 0 0 0 1 -0.8660223 -0.5000054 0 0 0 1 -0.8660314 0.4999898 0 -0.8660314 0.4999898 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660223 -0.5000054 0 0 0 1 0.8660242 -0.500002 0 0 -1 0 0 0 1 0.8660333 0.4999864 0 0 0 1 0.8660242 -0.500002 0 0 0 1 0 1 0 0.8660333 0.4999864 0 0 0 1 0 1 0 0 0 1 -0.8660314 -0.4999898 0 0 0 1 -0.8660314 0.4999898 0 -0.8660314 0.4999898 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660314 -0.4999898 0 0 0 1 0.8660274 -0.4999966 0 0 -1 0 0 0 1 0.8660274 0.4999966 0 0 0 1 0.8660274 -0.4999966 0 0 0 1 0 1 0 0.8660274 0.4999966 0 0 0 1 0 1 0 0 0 1 -0.8660014 -0.5000416 0 0 0 1 -0.8660022 0.5000401 0 -0.8660022 0.5000401 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660014 -0.5000416 0 0 0 1 0.8660542 -0.4999501 0 0 -1 0 0 0 1 0.866055 0.4999486 0 0 0 1 0.8660542 -0.4999501 0 0 0 1 0 1 0 0.866055 0.4999486 0 0 0 1 0 1 0 0 0 1 -0.8660041 -0.5000368 0 0 0 1 -0.8659952 0.5000524 0 -0.8659952 0.5000524 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660041 -0.5000368 0 0.8660277 -0.4999963 0 0 -1 0 0 0 1 0.8660187 0.5000118 0 0.8660277 -0.4999963 0 0 0 1 0 1 0 0.8660187 0.5000118 0 0 0 1 0 1 0 0 0 1 -0.86601 -0.5000267 0 -0.8660174 0.500014 0 -0.8660174 0.500014 0 0 0 1 0 -1 0 0 0 1 -0.86601 -0.5000267 0 0 0 1 0.8660237 -0.500003 0 0 -1 0 0 0 1 0.8660311 0.4999903 0 0.8660237 -0.500003 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0.8660311 0.4999903 0 0 0 1 0 1 0 0 0 1 -0.866016 -0.5000161 0 -0.8660144 0.500019 0 -0.8660144 0.500019 0 0 0 1 0 -1 0 0 0 1 -0.866016 -0.5000161 0 0 0 1 0.8660327 -0.4999873 0 0 -1 0 0 0 1 0.8660311 0.4999903 0 0.8660327 -0.4999873 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0.8660311 0.4999903 0 0 0 1 0 1 0 0 0 1 -0.8660151 -0.5000178 0 -0.8660134 0.5000208 0 -0.8660134 0.5000208 0 0 0 1 0 -1 0 0 0 1 -0.8660151 -0.5000178 0 0 0 1 0.8660327 -0.4999873 0 0 -1 0 0 0 1 0.8660311 0.4999903 0 0.8660327 -0.4999873 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0.8660311 0.4999903 0 0 0 1 0 1 0 0 0 1 -0.8660271 -0.499997 0 -0.8660204 0.5000088 0 -0.8660204 0.5000088 0 0 0 1 0 -1 0 0 0 1 -0.8660271 -0.499997 0 0 0 1 0.866029 -0.4999936 0 0 -1 0 0 0 1 0.8660223 0.5000054 0 0.866029 -0.4999936 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0.8660223 0.5000054 0 0 0 1 0 1 0 0 0 1 -0.8660186 -0.5000117 0 -0.8660288 0.4999941 0 -0.8660288 0.4999941 0 0 0 1 0 -1 0 0 0 1 -0.8660186 -0.5000117 0 0 0 1 0.8660186 -0.5000117 0 0 -1 0 0 0 1 0.8660288 0.4999941 0 0.8660186 -0.5000117 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8660288 0.4999941 0 0 0 1 0 1 0 0.5735353 -0.8191808 0 0.2161215 -0.9763665 0 0.2161215 -0.9763665 0 0.9847018 -0.1742483 0 0.5735353 -0.8191808 0 0 0 1 0.9763653 0.2161266 0 0.9847018 -0.1742483 0 0 0 1 0.8407223 0.5414665 0 0.9763653 0.2161266 0 0 0 1 0.2866168 0.9580454 0 0 0 1 0.8407223 0.5414665 0 -0.06361931 0.9979742 0 0 0 1 0.2866168 0.9580454 0 -0.4749418 0.8800172 0 -0.06361931 0.9979742 0 0 0 1 -0.9773107 0.211811 0 -0.4749418 0.8800172 0 0 0 1 -0.9763661 -0.2161231 0 0 0 1 0 0 1 -0.9773107 0.211811 0 0 0 1 -0.8191864 -0.5735275 0 -0.9763661 -0.2161231 0 -0.1742495 -0.9847015 0 -0.8191864 -0.5735275 0 -0.1742495 -0.9847015 0 -0.4382421 0.8988569 0 -0.06361925 0.9979743 0 -0.06361925 0.9979743 0 -0.9433733 0.3317332 0 -0.4382421 0.8988569 0 -0.9043802 -0.4267275 0 -0.9433733 0.3317332 0 -0.8249109 -0.5652627 0 0 0 1 -0.9043802 -0.4267275 0 -0.9901109 -0.1402871 -1.54005e-4 -0.824879 -0.5653094 1.65434e-4 -0.9494705 0.3138563 1.61107e-4 -0.9901109 -0.140286 -1.572e-4 0 0 1 -0.9873271 0.1586986 0 0 0 1 -0.9494532 0.3139086 0 -0.8140814 -0.5807508 0 -0.9873271 0.1586986 0 -0.171308 -0.9852176 0 -0.8140814 -0.5807508 0 0.2161213 -0.9763665 0 -0.171308 -0.9852176 0 0.5735323 -0.819183 0 0.2161213 -0.9763665 0 0.9847049 -0.1742299 0 0.5735323 -0.819183 0 0 0 1 0.9763666 0.216121 0 0 0 1 0 0 1 0.9847049 -0.1742299 0 0 0 1 0.8407205 0.5414695 0 0.9763666 0.216121 0 0.2866186 0.9580448 0 0 0 1 0.8407205 0.5414695 0 0.2866186 0.9580448 0 -0.9763671 -0.2161188 0 -0.9773178 0.211778 0 -0.9773178 0.211778 0 -0.8191757 -0.5735425 0 -0.9763671 -0.2161188 0 -0.1742336 -0.9847044 0 -0.8191757 -0.5735425 0 0.2161217 -0.9763664 0 -0.1742336 -0.9847044 0 0.5735353 -0.8191808 0 0.2161217 -0.9763664 0 0.9847061 -0.1742234 0 0.5735353 -0.8191808 0 0 0 1 0.9763666 0.2161209 0 0.9847061 -0.1742234 0 0 0 1 0.8407223 0.5414665 0 0.9763666 0.2161209 0 0 0 1 0.2866142 0.958046 0 0 0 1 0.8407223 0.5414665 0 -0.06361794 0.9979743 0 0 0 1 0.2866142 0.958046 0 -0.4749444 0.8800158 0 -0.06361794 0.9979743 0 -0.4749444 0.8800158 0 -0.9763659 -0.2161243 0 -0.9773113 0.2118078 0 -0.9773113 0.2118078 0 -0.819177 -0.5735409 0 -0.9763659 -0.2161243 0 0 0 1 -0.1742357 -0.984704 0 -0.819177 -0.5735409 0 0 0 1 0.2160985 -0.9763716 0 -0.1742357 -0.984704 0 0 0 1 -0.1739742 -0.9847502 0 0 0 1 0.2160985 -0.9763716 0 0 0 1 -0.8193642 -0.5732734 -1.72161e-4 -0.1742416 -0.9847028 -1.73213e-4 -0.9763776 -0.2160711 0 -0.9763776 -0.2160711 0 -0.8192093 -0.5734945 0 -0.8192058 -0.5734997 0 -0.1742626 -0.9846992 0 -0.8192058 -0.5734997 0 0.2161261 -0.9763654 0 0.2161261 -0.9763654 0 -0.1742626 -0.9846992 0 0.5735353 -0.8191808 0 0.9847012 -0.1742516 0 0.5735353 -0.8191808 0 0.9763665 0.2161212 0 0.9847012 -0.1742516 0 0.8407052 0.5414931 0 0.9763665 0.2161212 0 0.2866231 0.9580435 0 0.8407052 0.5414931 0 -0.06361711 0.9979743 0 0.2866231 0.9580435 0 -0.4749444 0.8800158 0 -0.06361711 0.9979743 0 -0.4749444 0.8800158 0 0 0 1 -0.9763665 -0.2161215 0 0 0 1 -0.9773173 0.2117804 0 0 0 1 0 0 1 -0.9773173 0.2117804 0 0 0 1 -0.8191765 -0.5735414 0 -0.9763665 -0.2161215 0 -0.174237 -0.9847038 0 -0.8191765 -0.5735414 0 0.21612 -0.9763669 0 -0.174237 -0.9847038 0 0.5735363 -0.8191801 0 0.21612 -0.9763669 0 0.984701 -0.1742522 0 0.5735363 -0.8191801 0 0 0 1 0.9763664 0.216122 0 0 0 1 0 0 1 0.984701 -0.1742522 0 0 0 1 0.8407286 0.5414567 0 0.9763664 0.216122 0 0.2866142 0.958046 0 0 0 1 0.8407286 0.5414567 0 -0.06361877 0.9979743 0 0.2866142 0.958046 0 -0.4749427 0.8800168 0 -0.06361877 0.9979743 0 -0.4749427 0.8800168 0 0.9763666 0.2161207 0 0.9847012 -0.1742518 0 0.9847012 -0.1742518 0 0.8407137 0.5414798 0 0.9763666 0.2161207 0 0.2866197 0.9580445 0 0.8407137 0.5414798 0 -0.06361842 0.9979743 0 0.2866197 0.9580445 0 -0.4749453 0.8800154 0 -0.06361842 0.9979743 0 0 0 1 -0.977315 0.2117905 0 -0.4749453 0.8800154 0 0 0 1 -0.9763665 -0.2161217 0 0 0 1 0 0 1 -0.977315 0.2117905 0 0 0 1 -0.8191837 -0.5735312 0 -0.9763665 -0.2161217 0 -0.1742286 -0.9847052 0 -0.8191837 -0.5735312 0 0.2161213 -0.9763665 0 -0.1742286 -0.9847052 0 0.5735511 -0.8191698 0 0.2161213 -0.9763665 0 0.5735511 -0.8191698 0 0.9763668 0.2161202 0 0.9847049 -0.1742309 0 0.9847049 -0.1742309 0 0.8407015 0.5414988 0 0.9763668 0.2161202 0 0.286616 0.9580455 0 0.8407015 0.5414988 0 -0.06361758 0.9979743 0 0.286616 0.9580455 0 -0.4749532 0.8800111 0 -0.06361758 0.9979743 0 -0.9773147 0.2117925 0 -0.4749532 0.8800111 0 -0.9763666 -0.2161208 0 -0.9773147 0.2117925 0 -0.8191839 -0.573531 0 -0.9763666 -0.2161208 0 -0.174229 -0.9847052 0 -0.8191839 -0.573531 0 0.2161218 -0.9763664 0 -0.174229 -0.9847052 0 0.5735317 -0.8191834 0 0.2161218 -0.9763664 0 0.5735317 -0.8191834 0 -0.9763667 -0.2161206 0 -0.9773105 0.2118115 0 -0.9773105 0.2118115 0 -0.8191735 -0.5735457 0 -0.9763667 -0.2161206 0 -0.1742312 -0.9847049 0 -0.8191735 -0.5735457 0 0.216118 -0.9763672 0 -0.1742312 -0.9847049 0 0.5735355 -0.8191807 0 0.216118 -0.9763672 0 0.9847071 -0.1742188 0 0.5735355 -0.8191807 0 0.9763669 0.2161198 0 0.9847071 -0.1742188 0 0.8407223 0.5414665 0 0.9763669 0.2161198 0 0.2866365 0.9580395 0 0.8407223 0.5414665 0 -0.063618 0.9979743 0 0.2866365 0.9580395 0 -0.4749712 0.8800013 0 -0.063618 0.9979743 0 -0.4749712 0.8800013 0 0.694742 0.1861912 0.694742 0.6954885 -0.1863912 0.693941 0.6947481 -0.1861459 0.6947481 0.5082572 0.5083435 0.6951702 0.695517 0.1863512 0.6939231 0.1861156 0.6947077 0.6947966 0.5092501 0.5092273 0.6937954 -0.1862895 0.6953476 0.6941093 0.186326 0.6953428 0.6941046 -0.5092083 0.5092972 0.6937747 -0.1861625 0.6947328 0.6947588 -0.6954885 0.1863912 0.693941 -0.5082845 0.5082592 0.6952118 -0.694742 -0.1861912 0.694742 -0.6947481 0.1861459 0.6947481 -0.5082572 -0.5083435 0.6951702 -0.695517 -0.1863512 0.6939232 -0.1861156 -0.6947077 0.6947966 -0.5092501 -0.5092273 0.6937954 0.1862895 -0.6953476 0.6941093 -0.186326 -0.6953428 0.6941046 0.5092083 -0.5092972 0.6937747 0.1861625 -0.6947328 0.6947588 0.5082845 -0.5082592 0.6952118 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.148071 -0.9889767 0 0 0 -1 0.719568 -0.694422 0 0.719568 -0.694422 0 0 0 -1 -0.2894755 -0.943318 -0.162342 0.1609686 -0.9788551 0.1262211 -0.6772245 -0.7357579 0.005229413 0 0 -1 -0.2589084 -0.9658812 -0.006313562 -0.9213678 -0.3684738 0.1237267 -0.6992002 -0.6992002 -0.1491239 -0.9626619 0.2707069 0 -0.9425834 -0.333971 0 -0.4205251 0.9072809 0 -0.9626619 0.2707069 0 0 0 -1 -0.002727448 0.9999963 0 0 0 -1 -0.4205251 0.9072809 0 0.2561847 0.9666278 0 -0.002727448 0.9999963 0 0.7051706 0.7090378 0 0.2561847 0.9666278 0 0 0 -1 0.864659 0.5023592 0 0 0 -1 0.7051706 0.7090378 0 0 0 -1 0.9954902 0.09486502 0 0 0 -1 0.864659 0.5023592 0 0.9954902 0.09486502 0 -0.3797582 0.1231735 -0.9168489 0 0 -1 -0.3794874 -0.1230847 -0.916973 -0.3797481 -0.1233857 -0.9168245 -0.2351314 0.3231812 -0.9166609 -0.3793703 0.1232643 -0.9169973 3.0311e-6 0.399487 -0.9167389 -0.2346612 0.3229827 -0.9168513 0.2351301 0.3231837 -0.9166604 0 0.399492 -0.9167367 0.2346636 0.3229867 -0.9168492 0.3794878 0.1230856 -0.9169728 0.3797587 -0.1231725 -0.9168488 0.3797485 0.1233865 -0.9168243 0.2351317 -0.3231818 -0.9166606 0.3793723 -0.1232629 -0.9169967 -3.1273e-6 -0.3994868 -0.9167389 0.2346605 -0.3229829 -0.9168514 -0.2351309 -0.3231819 -0.9166607 0 -0.399492 -0.9167367 -0.2346616 -0.3229838 -0.9168508 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9847017 0.1742485 0 -0.9763664 -0.2161219 0 -0.9763664 -0.2161219 0 -0.5735489 0.8191714 0 -0.9847017 0.1742485 0 0 0 -1 -0.2161208 0.9763666 0 -0.5735489 0.8191714 0 0 0 -1 0.1742444 0.9847025 0 -0.2161208 0.9763666 0 0 0 -1 0.8191805 0.5735357 0 0.1742444 0.9847025 0 0 0 -1 0.9763672 0.2161179 0 0.8191805 0.5735357 0 0 0 -1 -0.2161211 0.9763666 0 0.9763672 0.2161179 0 1 0 0 0 1 0 1 0 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 -1 0 0 0 0.3829322 -0.9237765 -1 0 0 -1 0 0 0 0 -1 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3829322 -0.9237765 -1 0 0 0 0 -1 -1 0 0 0 1 0 0 0 -1 0 1 0 0 0.9237692 -0.3829498 0 0.9237692 -0.3829498 0 0 -1 0 0 -1 1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.9237673 0.3829541 0 0.9239057 -0.3826204 0 0 0 -1 0.923765 -0.3829597 -2.00797e-4 0 0 -1 0 0 -1 0 0 -1 0.9239079 0.3826148 -2.00879e-4 0 0 -1 0 0 -1 0 0 -1 0.3823268 0.9240272 1.33756e-4 0 0 -1 0.3824399 0.9239804 6.6838e-5 0 0 -1 -0.3823211 0.9240295 6.68826e-5 0 0 -1 -0.3824342 0.9239827 1.33759e-4 0 0 -1 -0.9239071 0.3826169 0 0 0 -1 -0.9237664 0.3829562 -2.0076e-4 -0.9237642 -0.3829619 0 -0.9239048 -0.3826224 -2.00902e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3823211 -0.9240295 1.33726e-4 0 0 -1 -0.3824342 -0.9239827 6.67691e-5 0 0 -1 0.3823267 -0.9240272 6.6819e-5 0 0 -1 0.3824399 -0.9239804 1.33727e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9570726 0.1903902 -0.2185486 0.9086652 0.1807606 -0.3763684 0.9238767 0.3826904 0 0.9807825 -0.1951045 0 0.9574543 -0.190464 -0.2168053 0.8848763 -0.2875076 -0.366515 0.8314698 0.5555699 0 0.7573775 0.5060631 -0.4126493 0.9117819 0.296253 -0.284408 0.5421333 0.8113713 -0.2185589 0.5323907 0.7967903 -0.2858068 0.3826777 0.9238819 0 0.195086 0.9807862 0 0.1787361 0.8985879 -0.4007409 0.5550059 0.7638999 -0.3292801 -0.1903736 0.9570745 -0.2185554 -0.1787398 0.8985872 -0.4007406 -0.3826815 0.9238803 0 0 0.9603986 -0.27863 -0.5555647 0.8314734 0 -0.5227605 0.7823777 -0.3385361 -0.81137 0.5421392 -0.2185497 -0.7573784 0.5060632 -0.4126476 -0.9238767 0.3826902 0 -0.5604323 0.7713672 -0.30151 -0.9807821 0.1951065 0 -0.9574547 0.190466 -0.2168026 -0.9238783 -0.3826865 0 -0.9570732 -0.1903878 -0.2185488 -0.9086656 -0.1807582 -0.3763685 -0.8848751 0.2875121 -0.3665145 0 0 -1 0.8113724 -0.5421351 -0.2185508 0.9238783 -0.3826867 0 -0.8314727 -0.5555655 0 -0.7573804 -0.5060593 -0.4126488 -0.9117828 -0.2962515 -0.2844067 -0.542134 -0.8113726 -0.2185523 -0.5323908 -0.7967907 -0.2858056 -0.3826816 -0.9238803 0 -0.1950903 -0.9807853 0 -0.1787402 -0.8985875 -0.4007398 -0.5550063 -0.7638999 -0.3292794 0.1903699 -0.9570748 -0.2185574 0.1787365 -0.8985881 -0.4007402 0.3826779 -0.9238819 0 0 -0.9603988 -0.278629 0.5555648 -0.8314732 0 0.5227608 -0.7823778 -0.3385354 0.7573797 -0.5060588 -0.4126507 0.5604309 -0.7713678 -0.3015111 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.6335408 -0.07502806 -0.7700629 -0.5034724 -0.01980024 -0.8637844 -0.9659089 0.2588827 0 -0.9659005 -0.2589136 0 0 0 1 -0.7070282 0.7071853 -2.72301e-4 0 0 1 -0.9659004 0.2589135 -2.48515e-4 0 0 1 -0.2587694 0.9659389 -7.52618e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071066 0.7071066 5.90705e-4 0 0 1 0.2587695 0.9659391 4.05714e-4 0 0 1 0 0 1 0 0 1 -0.2589135 0.9659004 4.05698e-4 0 0 1 0.7070281 0.7071853 5.90424e-4 0 0 1 0 0 1 0 0 1 0.2589135 0.9659003 -7.52248e-4 0 0 1 0.9659088 0.2588827 -2.48507e-4 0 0 1 0 0 1 0.7071067 0.7071067 -2.72304e-4 0.9800934 -0.1985374 0 0.9659005 0.2589136 0 0 0 1 0.7999024 -0.5467262 0.2474803 0 0 1 0.9061323 -0.2428925 -0.3463054 0 0 1 0.5208782 -0.809736 0.2702103 0 0 1 0 0 1 0 0 1 0 0 1 0.6300637 -0.6300637 -0.4539158 0.2386385 -0.8902624 -0.3879232 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.6428091 -0.7660264 0 -0.8794479 -0.4759953 0 -0.6428091 -0.7660264 0 -0.8794479 -0.4759953 0 -0.2864127 -0.9581064 0 0.5010402 -0.8654239 0 -0.2864127 -0.9581064 0 0.8591152 -0.5117822 0 0.5010402 -0.8654239 0 0.9442742 -0.3291599 -3.7405e-5 0.8591384 -0.5117433 2.71011e-5 0.985004 0.1725313 0 0.9442948 -0.3291006 0 0.5498371 0.8352718 0 0.985004 0.1725313 0 0.17366 0.9848056 0 0.17366 0.9848056 0 0.5498371 0.8352718 0 -0.2006649 0.9796599 0 -0.8164037 0.5774818 0 -0.2006649 0.9796599 0 -0.9435017 0.3313676 0 -0.8164037 0.5774818 0 -0.860372 0.5096665 -6.18088e-5 -0.9435349 0.3312732 4.75829e-5 -0.9671596 0.2541701 0 -0.8604381 0.5095549 0 -0.9671596 0.2541701 0 -0.1560934 0.9877422 0 0.06961709 0.9975738 0 0.06961709 0.9975738 0 0.1430609 0.9897139 -4.1712e-5 -0.1561557 0.9877325 4.55337e-5 -0.08510249 0.9963722 0 0.1430038 0.9897221 0 -0.7465862 0.6652886 0 -0.08510249 0.9963722 0 -0.9396921 0.3420217 0 -0.9396921 0.3420217 0 -0.7465862 0.6652886 0 -0.9984065 -0.05643248 0 -0.6467776 -0.7626787 0 -0.9984065 -0.05643248 0 -0.1448937 -0.9894473 0 -0.6467776 -0.7626787 0 0.1586833 -0.9873294 4.08347e-5 -0.1449348 -0.9894412 -3.72967e-5 0.6588784 -0.7522495 0 0.1586384 -0.9873368 0 0.999346 -0.03616154 0 0.6588784 -0.7522495 0 0.9317964 0.3629814 0 0.9317964 0.3629814 0 0.999346 -0.03616154 0 0.7330362 0.6801896 0 0.7330362 0.6801896 0 -0.6785529 -0.2812978 0.6785555 -0.6993727 0.2899244 0.6533159 -0.6947478 0.1861382 0.6947504 -0.2895088 -0.6994669 0.6533994 -0.7632003 -0.2044839 0.6129534 -0.4924387 -0.4924604 0.717626 0.2809318 -0.6787337 0.6785262 -0.1861829 -0.6948493 0.6946369 0.6993721 -0.2899268 0.6533155 0.4924387 -0.4924604 0.717626 0.2044346 -0.7629308 0.6133051 0.678555 0.2812929 0.6785554 0.6947482 -0.1861435 0.6947486 0.2895102 0.6994594 0.6534067 0.4924314 0.4924638 0.7176287 0.7632028 0.2044789 0.6129519 -0.2809273 0.6787333 0.6785286 0.1862069 0.6948446 0.694635 -0.4924314 0.4924638 0.7176287 -0.2044407 0.7629203 0.6133159 -0.9659296 0.2588045 3.93067e-4 -0.9659089 0.2588823 0 -0.96593 -0.2588036 0 -0.7071244 0.7070893 -2.39983e-4 -0.2588313 0.9659224 2.47772e-4 -0.2587734 0.965938 -4.49143e-5 -0.7070265 0.7071869 4.34545e-4 0.2588313 0.9659225 -4.48597e-5 0.2587734 0.965938 2.4782e-4 0.7071226 0.707091 -2.28019e-4 0.7070265 0.7071869 4.34727e-4 0.96593 0.2588036 0 0.9659088 0.2588822 3.97396e-4 0.9659089 -0.2588823 0 0.9659296 -0.2588045 3.93067e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9659088 -0.2588822 3.97396e-4 0 0 1 0 0 1 0.7071244 -0.7070893 -2.39983e-4 0.2588313 -0.9659224 2.47772e-4 0.2587734 -0.965938 -4.49143e-5 0.7070265 -0.7071869 4.34545e-4 -0.2588313 -0.9659225 -4.48597e-5 -0.2587734 -0.965938 2.4782e-4 -0.7071226 -0.707091 -2.28019e-4 -0.7070265 -0.7071869 4.34727e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660006 -0.5000429 0 0 0 1 -0.8659814 0.5000762 -1.13539e-5 0 0 1 0 0 1 -0.8660155 0.5000172 0 0 0 1 0 -1 -1.97908e-4 -0.8660317 -0.499989 -1.03619e-5 0 0 1 0.8660006 -0.5000429 -1.0375e-5 0 0 1 0 -1 -1.97908e-4 0 0 1 0.8659814 0.5000762 0 0.8660317 -0.499989 0 0 0 1 0 1 -1.99848e-4 0 0 1 0.8660155 0.5000172 -1.13386e-5 0 0 1 0 1 -1.99848e-4 0 0 1 -0.8660216 -0.5000066 0 0 0 1 -0.8660031 0.5000386 -1.0252e-5 0 0 1 -0.8660415 0.4999721 0 0 0 1 0 -1 -1.59024e-4 0 0 1 -0.8660601 -0.4999398 -1.02733e-5 0 0 1 0.8659893 -0.5000625 -1.01613e-5 0 0 1 0 -1 -1.59024e-4 0 0 1 0.8659707 0.5000946 0 0 0 1 0 0 1 0 0 1 0.8660274 -0.4999966 0 0 0 1 0 1 -1.58946e-4 0.8660088 0.5000288 -1.01156e-5 0 0 1 0 1 -1.58946e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 0 -0.8660084 0.5000296 -1 0 0 0 -0.8660193 -0.5000105 -1 0 0 0 -0.8660193 -0.5000105 0 0 1 0 -0.8660084 0.5000296 0 0.866021 0.5000076 0 0 1 0 0.8660321 -0.4999886 0 0.866021 0.5000076 0 0 -1 0 0.8660321 -0.4999886 0 0 -1 -1 0 0 0 -0.8660054 0.5000347 -1 0 0 0 -0.8660165 -0.5000157 -1 0 0 0 -0.8660165 -0.5000157 0 0 1 0 -0.8660054 0.5000347 0 0.8660239 0.5000025 0 0 1 0 0.8660349 -0.4999834 0 0.8660239 0.5000025 0 0 -1 0 0.8660349 -0.4999834 0 0 -1 0 -0.8660282 0.4999951 0 -0.8660354 -0.4999827 0 -0.8660354 -0.4999827 0 0 1 0 -0.8660282 0.4999951 -1 0 0 0 0.8660287 0.4999945 0 0 1 -1 0 0 0 0.8660357 -0.499982 -1 0 0 0 0.8660287 0.4999945 0 0 -1 0 0.8660357 -0.499982 0 0 -1 0 -0.8660287 0.4999945 0 -0.8660357 -0.499982 0 -0.8660357 -0.499982 0 0 1 0 -0.8660287 0.4999945 0 0.8660162 0.5000159 0 0 1 0 0.8660234 -0.5000035 0 0.8660162 0.5000159 0 0 -1 0 0.8660234 -0.5000035 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4936887 0.2850444 0.8215967 -0.4936918 -0.2850247 0.8216018 0 0.5700824 0.8215876 0.4936887 0.2850444 0.8215967 0.4936918 -0.2850247 0.8216018 0 -0.5700535 0.8216077 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9657892 0.2593284 0 -0.9657869 -0.2593364 4.90288e-4 -0.9659306 -0.2588013 0 -0.7071093 0.7071043 1.39256e-4 -0.9659323 0.2587946 4.89458e-4 -0.2593264 0.9657896 4.46778e-4 -0.7070835 0.7071301 1.07074e-4 0.2593377 0.9657867 0 -0.2588388 0.9659205 0 0.7071086 0.707105 1.07067e-4 0.25885 0.9659175 4.47056e-4 0.9657894 0.2593271 4.87984e-4 0.7070835 0.7071301 1.38381e-4 0.9657874 -0.2593352 0 0.9659324 0.2587946 0 0.7071089 -0.7071046 1.4154e-4 0.9659304 -0.2588013 4.8943e-4 0.2593343 -0.9657875 4.63548e-4 0.7070912 -0.7071223 1.19371e-4 -0.2593231 -0.9657906 0 0.2588284 -0.9659234 0 -0.7071096 -0.707104 1.19348e-4 -0.2588172 -0.9659262 4.63842e-4 -0.7070912 -0.7071223 1.42363e-4 -0.493669 0.2849987 0.8216243 -0.4936725 -0.2849762 0.8216301 0 0.5700365 0.8216193 0.4936417 0.2850261 0.8216314 0.4936451 -0.2850035 0.821637 0 -0.5700034 0.8216423 0 0 1 -0.9659174 -0.2588504 0 0 0 1 0 0 1 0 0 1 -0.9133956 0.1895388 0.3602549 0 0 1 0 0 1 -0.9659174 0.2588504 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 -0.9659174 -0.2588504 0 0 0 1 -0.2588504 -0.9659174 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071068 -0.7071068 0 0 0 1 0.2588504 -0.9659174 0 0 0 1 -0.2588504 -0.9659174 0 0 0 1 0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 0.2588504 -0.9659174 0 0 0 1 0.9659174 -0.2588504 0 0 0 1 0 0 1 0.7071068 -0.7071068 0 0 0 1 0.9928423 0.1194323 0 0 0 1 0 0 1 0.9659174 -0.2588504 0 0 0 1 0.7530686 0.2826665 0.5941274 0 0 1 0.7659507 0.6428993 0 0.9567323 0.2563889 0.1375792 0.7531469 0.6578524 0 0.7837243 0.6138582 -0.0946272 -0.9564403 0.2824134 0.07392269 -0.9712839 0.2216731 -0.08642119 -0.999428 0.03381538 0 0.7659507 0.6428993 0 -0.8147675 0.5772631 -0.05404633 0 0 1 -0.6701994 0.7416574 0.02787911 0 0 1 -0.772005 0.6156129 -0.1582062 -0.3939356 0.9176765 0.0518133 0 0 1 0 0 1 -0.4329962 0.8990666 -0.06475627 0 0 1 -0.07603085 0.9965417 -0.03352653 0 0 1 0 0 1 0 0 1 0.1430026 0.9895477 0.01859402 0 0 1 0 0.9865005 -0.1637579 0 0 1 0.4552791 0.8899356 0.02712482 0 0 1 0.4335472 0.9002107 -0.04071068 0 0 1 0.7188212 0.6950219 -0.01551598 0 0 1 0 0 1 0.8530282 0.5218201 0.006824135 0 0 1 0 0 1 0 0 1 0.7709134 0.6147425 -0.1666864 0 0 1 0.975887 0.2177964 -0.01447367 0 0 1 0 0 1 0 0 1 0.9815741 -0.1910819 0 0 0 1 0.9749315 0.2225056 0 0.8362377 -0.5439926 0.06912708 0 0 1 0 0 1 0.9715827 -0.2217413 -0.08281224 0 0 1 0 1 0 0 0 1 0.7744321 -0.6175484 -0.1374367 0.6305696 -0.7746983 0.04716527 0.6286211 -0.7777117 0 0.6312665 -0.7755545 0.004220068 -0.5030664 0.8245455 -0.258938 0 1 0 -0.1707831 0.9853087 0 -0.2402252 0.8964164 0.3724638 -0.7985476 0.5626581 -0.2138634 -0.6478652 0.6478652 0.4006761 0.6546277 0.3780504 0.6546298 0.654657 -0.3780673 0.6545909 0.6546489 -0.3779773 0.654651 0 0.7559073 0.6546787 0.6547098 0.3780124 0.6545698 -0.6546655 0.3780716 0.65458 0 0.7559073 0.6546787 -0.6546293 -0.3780506 0.6546282 -0.6546555 0.3779602 0.6546545 0 -0.7559073 0.6546787 -0.6547309 -0.3780036 0.6545538 0 -0.7559074 0.6546786 -0.7302097 0.1955673 0.6546352 -0.1955776 0.7302482 0.6545891 -0.1956461 0.7301663 0.6546601 -0.5345047 -0.5345047 0.6546828 -0.7302465 0.1956676 0.6545642 0.1955911 -0.7302494 0.6545839 -0.5345073 -0.5345042 0.654681 0.7302147 -0.1955818 0.6546252 0.1956526 -0.7301757 0.6546477 0.5345054 0.5345054 0.6546816 0.7302479 -0.195672 0.6545614 0.5345026 0.5345059 0.6546835 -0.3780504 0.6546277 0.6546298 0.3780673 0.654657 0.6545909 0.3779773 0.6546489 0.654651 -0.7559073 0 0.6546787 -0.3780124 0.6547098 0.6545698 -0.3780716 -0.6546655 0.65458 -0.7559073 0 0.6546787 0.3780506 -0.6546293 0.6546282 -0.3779602 -0.6546555 0.6546545 0.7559073 0 0.6546787 0.3780036 -0.6547309 0.6545538 0.7559074 0 0.6546786 0.1955673 0.7302097 0.6546352 0.7302482 0.1955776 0.6545891 0.7301663 0.1956461 0.6546601 -0.5345047 0.5345047 0.6546828 0.1956676 0.7302465 0.6545642 -0.7302494 -0.1955911 0.6545839 -0.5345042 0.5345073 0.654681 -0.1955818 -0.7302147 0.6546252 -0.7301757 -0.1956526 0.6546477 0.5345054 -0.5345054 0.6546816 -0.195672 -0.7302479 0.6545614 0.5345059 -0.5345026 0.6546835 0 0 -1 -0.9749315 -0.2225056 0 0 0 -1 0 0 -1 -0.9994281 0.03381538 0 0 0 -1 -0.7813324 -0.6230508 -0.03643429 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9372301 -0.3482307 0.01830589 -0.9462131 -0.1127073 -0.3032784 0 0 -1 -0.4328863 -0.8988384 -0.06854975 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6743137 -0.737742 0.03221458 -0.8017854 -0.5403559 -0.2552562 0 0 -1 0 -0.9953752 -0.09606379 -0.2626062 -0.9640035 0.04165709 -0.4715857 -0.8566456 -0.2092014 0 0 -1 0.4308235 -0.8945552 -0.1190049 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2068783 -0.9772543 0.04663985 -0.02827399 -0.9857479 -0.1658364 0 0 -1 0 0 -1 0.4278487 -0.8950717 -0.1256667 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9659169 -0.2588523 0 0.9659169 0.2588523 4.57052e-5 0.9659194 0.2588427 0 0 0 -1 0.7071067 -0.7071067 -1.26015e-4 0 0 -1 0.9659194 -0.2588427 4.57032e-5 0.2588523 -0.9659169 1.53933e-4 0 0 -1 0 0 -1 0.7071241 -0.7070895 -1.31791e-5 -0.2588523 -0.9659169 -1.08923e-4 0 0 -1 0.2587973 -0.9659317 -1.08925e-4 0 0 -1 -0.7071067 -0.7071067 -1.3171e-5 0 0 -1 0 0 -1 -0.2587973 -0.9659317 1.5395e-4 0 0 -1 -0.9659169 -0.2588523 4.57052e-5 0 0 -1 0 0 -1 -0.7071241 -0.7070896 -1.26007e-4 0 0 -1 -0.9659169 0.2588523 0 0 0 -1 -0.9659194 -0.2588427 0 -0.7071067 0.7071067 -1.26015e-4 -0.9659194 0.2588427 4.57085e-5 -0.2588523 0.9659169 1.53933e-4 -0.7071241 0.7070895 -1.31791e-5 0.2588523 0.9659169 -1.08923e-4 -0.2587973 0.9659317 -1.08925e-4 0 0 -1 0.7071067 0.7071067 -1.3171e-5 0 0 -1 0 0 -1 0 0 -1 0.2587973 0.9659317 1.5395e-4 0.7071241 0.7070896 -1.26007e-4 0.8658921 -0.5002307 0 0.8658921 0.5002307 1.45627e-4 0.8660165 0.5000154 0 0 -1 -1.6368e-5 0.8660165 -0.5000154 1.45667e-4 -0.86589 -0.5002346 1.62326e-4 0 -1 -1.6368e-5 -0.86589 0.5002346 0 -0.8660285 -0.4999946 0 0 1 -1.6368e-5 -0.8660285 0.4999946 1.62383e-4 0 1 -1.6368e-5 -0.2585767 0.9659907 0 -0.9659907 0.2585767 1.45919e-4 -0.9659264 0.2588173 0 0.7071073 0.7071064 -2.51218e-5 -0.2588173 0.9659264 1.45954e-4 0.9659906 -0.2585769 1.48861e-4 0.7071046 0.707109 -2.29666e-5 0.2585769 -0.9659906 0 0.9659249 -0.2588224 0 -0.7071064 -0.7071073 -2.29683e-5 0.2588224 -0.9659249 1.48893e-4 -0.707109 -0.7071046 -2.51279e-5 0.5002307 0.8658921 0 -0.5002307 0.8658921 1.45627e-4 -0.5000154 0.8660165 0 1 0 -1.6368e-5 0.5000154 0.8660165 1.45667e-4 0.5002346 -0.86589 1.62326e-4 1 0 -1.6368e-5 -0.5002346 -0.86589 0 0.4999946 -0.8660285 0 -1 0 -1.6368e-5 -0.4999946 -0.8660285 1.62383e-4 -1 0 -1.6368e-5 0.9659907 0.2585767 0 0.2585767 0.9659907 1.45919e-4 0.2588173 0.9659264 0 0.7071064 -0.7071073 -2.51218e-5 0.9659264 0.2588173 1.45954e-4 -0.2585769 -0.9659906 1.48861e-4 0.707109 -0.7071046 -2.29666e-5 -0.9659906 -0.2585769 0 -0.2588224 -0.9659249 0 -0.7071073 0.7071064 -2.29683e-5 -0.9659249 -0.2588224 1.48893e-4 -0.7071046 0.707109 -2.51279e-5 0.8658984 -0.5002198 0 0.8658989 0.5002191 4.34869e-5 0.8660169 0.5000147 0 0 -1 -1.0215e-5 0.8660165 -0.5000154 4.34984e-5 -0.8658984 -0.5002198 4.34869e-5 0 -1 -1.0215e-5 -0.8658989 0.5002191 0 -0.8660165 -0.5000154 0 0 1 -1.0215e-5 -0.8660169 0.5000147 4.34984e-5 0 1 -1.0215e-5 0.2585769 -0.9659907 0 0.9659907 -0.2585767 4.68137e-5 0.965925 -0.2588222 0 -0.7071068 -0.7071068 -7.90028e-6 0.2588175 -0.9659262 4.58996e-5 -0.9659907 0.2585769 4.58887e-5 -0.7071068 -0.7071068 -7.89318e-6 -0.2585767 0.9659907 0 -0.9659262 0.2588175 0 0.7071068 0.7071068 -7.22312e-6 -0.2588222 0.965925 4.68239e-5 0.7071068 0.7071068 -7.22253e-6 0 0 1 -0.9980629 -0.05436259 0.0302543 0 0 1 0 0 1 0 0 1 0 0 1 -0.9554255 -0.2938799 0.02822834 -0.9926159 -0.1182346 -0.02709871 -0.8562039 -0.5159813 0.02604317 -0.9370934 -0.3481799 -0.02503401 -0.7061538 -0.7076658 0.02358132 0 0 1 -0.8290412 -0.5587247 -0.02275031 -0.5142587 -0.857381 0.02087694 0 0 1 -0.6745271 -0.7379754 -0.02013826 0 0 1 0 0 1 -0.2919743 -0.9562567 0.01800292 0 0 1 -0.4821844 -0.8758981 -0.01734143 0 0 1 0 0 1 -0.05224525 -0.9985236 0.0148738 0 0 1 -0.2628073 -0.9647413 -0.01437222 0 0 1 0 0 1 0.1906425 -0.9815927 0.01145482 0 0 1 -0.02866923 -0.9995275 -0.01109045 0 0 1 0 0 1 0.4221032 -0.9065134 0.007895529 0 0 1 0.2070977 -0.9782909 -0.007582306 0 0 1 0 0 1 0.4312643 -0.9022172 -0.003922641 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.1036105 0.9923558 -0.06704169 0 0 1 0 0 1 0.3652487 0.9295402 -0.05048155 0 0 1 0.2581072 0.9631443 0.07572263 0 0 1 0 0 1 0 0 1 0.705986 0.705986 0.05628037 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6546395 0.3780467 0.6546205 0.654665 -0.3780607 0.6545867 0.654658 -0.3779824 0.654639 0 0.7559102 0.6546754 0.6547122 0.378013 0.6545672 -0.6546654 0.3780616 0.6545859 0 0.7559102 0.6546754 -0.6546396 -0.378046 0.6546206 -0.6546581 0.3779818 0.6546391 0 -0.7559084 0.6546775 -0.6547109 -0.3780131 0.6545683 0 -0.7559084 0.6546775 0.7302151 -0.1955791 0.6546255 0.1955808 -0.7302497 0.6545866 0.1956472 -0.7301701 0.6546555 0.5345064 0.5345064 0.6546798 0.7302494 -0.1956722 0.6545596 -0.1955887 0.7302509 0.6545828 0.5345065 0.5345064 0.6546798 -0.7302123 0.1955708 0.6546313 -0.1956523 0.7301748 0.6546487 -0.5345058 -0.5345058 0.654681 -0.730248 0.1956681 0.6545623 -0.5345057 -0.5345057 0.654681 0 0 1 0.5000154 -0.8660166 0 0 0 1 -0.5000154 -0.8660166 0 0 0 1 -0.5000154 -0.8660166 0 0 0 1 1 0 0 0.5000154 -0.8660166 0 0 0 1 0.4999946 0.8660286 0 0 0 1 1 0 0 0 0 1 -0.4999946 0.8660286 0 0 0 1 0.4999946 0.8660286 0 0 0 1 -1 0 0 -0.4999946 0.8660286 0 0 0 1 -1 0 0 0 0 1 -0.8660166 -0.5000154 0 0 0 1 -0.8660166 0.5000154 0 0 0 1 0 0 1 -0.8660166 0.5000154 0 0 0 1 0 -1 0 -0.8660166 -0.5000154 0 0 0 1 0.8660286 -0.4999946 0 0 -1 0 0 0 1 0.8660286 0.4999946 0 0 0 1 0 0 1 0.8660286 -0.4999946 0 0 0 1 0 1 0 0.8660286 0.4999946 0 0 1 0 0 0 1 -0.5000154 0.8660166 0 0 0 1 0.5000154 0.8660166 0 0 0 1 0.5000154 0.8660166 0 0 0 1 -1 0 0 -0.5000154 0.8660166 0 0 0 1 -0.4999946 -0.8660286 0 0 0 1 -1 0 0 0 0 1 0.4999946 -0.8660286 0 0 0 1 -0.4999946 -0.8660286 0 0 0 1 1 0 0 0.4999946 -0.8660286 0 0 0 1 1 0 0 0 0 1 0.8660166 0.5000154 0 0 0 1 0.8660166 -0.5000154 0 0 0 1 0 0 1 0.8660166 -0.5000154 0 0 0 1 0 1 0 0.8660166 0.5000154 0 0 0 1 -0.8660286 0.4999946 0 0 1 0 0 0 1 -0.8660286 -0.4999946 0 0 0 1 0 0 1 -0.8660286 0.4999946 0 0 0 1 0 -1 0 -0.8660286 -0.4999946 0 0 -1 0 0 0 1 -0.1861726 -0.6947426 0.6947464 0.1861357 -0.6946052 0.6948936 0.1861543 -0.694745 0.6947489 -0.5086594 -0.5086225 0.6946717 0 0 1 0 0 1 -0.1861187 -0.6946122 0.6948911 0 0 1 -0.6947576 -0.1861476 0.6947382 -0.5084767 -0.5084822 0.6949083 -0.6946657 0.186123 0.6948365 -0.6946641 -0.1861352 0.6948349 0 0 1 -0.5084951 0.5084583 0.6949121 0 0 1 -0.6947528 0.186159 0.6947398 -0.1861357 0.6946052 0.6948936 0 0 1 -0.5086355 0.508641 0.6946758 0 0 1 0.1861726 0.6947426 0.6947464 -0.1861543 0.694745 0.6947489 0.5086594 0.5086225 0.6946717 0 0 1 0 0 1 0.1861187 0.6946122 0.6948911 0 0 1 0.6947576 0.1861476 0.6947382 0.5084767 0.5084822 0.6949083 0.6946657 -0.186123 0.6948365 0.6946641 0.1861352 0.6948349 0 0 1 0.5084951 -0.5084583 0.6949121 0 0 1 0.6947528 -0.186159 0.6947398 0 0 1 0.5086355 -0.508641 0.6946758 -0.6891519 -0.2239026 0.689157 -0.6890563 0.2238715 0.6892625 -0.6891491 0.2239196 0.6891542 -0.4260159 -0.5863208 0.6890127 -0.6890486 -0.223887 0.6892652 0 -0.7247438 0.6890184 -0.4259341 -0.5862402 0.6891317 0.4259436 -0.5862212 0.6891421 0 -0.7247439 0.6890184 0.6890563 -0.2238715 0.6892625 0.4260008 -0.5863357 0.6890092 0.6891519 0.2239026 0.689157 0.6891491 -0.2239196 0.6891542 0.4260159 0.5863208 0.6890127 0.6890486 0.223887 0.6892653 0 0.7247438 0.6890184 0.4259341 0.5862402 0.6891317 -0.4259436 0.5862212 0.6891421 0 0.7247439 0.6890184 -0.4260008 0.5863357 0.6890092 -0.3779605 0.6546561 -0.6546535 0.3779659 0.6546546 -0.654652 0.3779631 0.6546607 -0.6546475 -0.7559275 0 -0.6546553 -0.3779671 0.6546567 -0.6546491 -0.3779724 -0.6546405 -0.6546623 -0.7559275 0 -0.6546553 -0.3779666 -0.6546531 -0.6546531 0.3779779 -0.6546499 -0.6546499 0 0 -1 0.377964 -0.6546486 -0.6546591 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7559275 0 -0.6546553 0.7559275 0 -0.6546553 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6546561 0.3779605 -0.6546535 0.6546546 -0.3779659 -0.654652 0.6546607 -0.3779631 -0.6546475 0 0.7559275 -0.6546553 0.6546567 0.3779671 -0.6546491 -0.6546405 0.3779724 -0.6546623 0 0.7559275 -0.6546553 -0.6546531 0.3779666 -0.6546531 -0.6546499 -0.3779779 -0.6546499 0 0 -1 -0.6546486 -0.377964 -0.6546591 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7559275 -0.6546553 0 -0.7559275 -0.6546553 0 0 -1 0.3779605 -0.6546561 -0.6546535 -0.3779659 -0.6546546 -0.654652 -0.3779631 -0.6546607 -0.6546475 0.7559275 0 -0.6546553 0.3779671 -0.6546567 -0.6546491 0.3779724 0.6546405 -0.6546623 0.7559275 0 -0.6546553 0.3779666 0.6546531 -0.6546531 -0.3779779 0.6546499 -0.6546499 0 0 -1 -0.377964 0.6546486 -0.6546591 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7559275 0 -0.6546553 -0.7559275 0 -0.6546553 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6546561 -0.3779605 -0.6546535 -0.6546546 0.3779659 -0.654652 -0.6546607 0.3779631 -0.6546475 0 -0.7559275 -0.6546553 -0.6546567 -0.3779671 -0.6546491 0.6546405 -0.3779724 -0.6546623 0 -0.7559275 -0.6546553 0.6546531 -0.3779666 -0.6546531 0.6546499 0.3779779 -0.6546499 0 0 -1 0.6546486 0.377964 -0.6546591 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7559275 -0.6546553 0 0.7559275 -0.6546553 0 0 -1 -0.9510558 0.309019 -1.24711e-5 -0.9510564 0.3090175 0 -0.9510558 -0.309019 0 -0.587788 0.809015 0 -0.5877845 0.8090174 -3.2633e-5 0 1 0 0 1 0 0.5877904 0.8090133 -3.26495e-5 0.5877845 0.8090174 2.31323e-5 0.9510558 0.309019 0 0.9510564 0.3090175 -1.25989e-5 0.9510564 -0.3090175 0 0.9510558 -0.309019 -1.24711e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9510564 -0.3090175 -1.25989e-5 0.587788 -0.809015 0 0.5877845 -0.8090174 -3.2633e-5 0 -1 0 0 -1 0 -0.5877904 -0.8090133 -3.26495e-5 -0.5877845 -0.8090174 2.31323e-5 0 0 1 0 0 1 -0.2588164 0.9659266 0 -0.2588164 0.9659266 0 0.2588164 0.9659266 0 -0.707103 0.7071105 0 -0.707103 0.7071105 0 -0.9659256 0.2588198 0 -0.9659256 0.2588198 0 -0.9659256 -0.2588198 0 -0.9659256 -0.2588198 0 -0.707103 -0.7071105 0 -0.707103 -0.7071105 0 -0.2588164 -0.9659266 0 -0.2588164 -0.9659266 0 0.2588164 -0.9659266 0 0.2588164 -0.9659266 0 -0.1861603 -0.6947675 -0.6947248 0.1861247 -0.6946347 -0.694867 0.1861786 -0.694765 -0.6947223 -0.5086519 -0.5086574 -0.6946516 -0.1861418 -0.6946278 -0.6948694 -0.6947753 -0.186165 -0.6947157 -0.5085116 -0.5084748 -0.6948881 -0.6946866 0.1861413 -0.6948108 -0.6946883 -0.186129 -0.6948123 -0.5084931 0.5084986 -0.6948841 -0.6947799 0.1861536 -0.694714 -0.1861247 0.6946347 -0.694867 -0.5086758 0.5086389 -0.6946476 0.2588164 0.9659266 0 0.1861603 0.6947675 -0.6947248 -0.1861786 0.694765 -0.6947223 0.707103 -0.7071105 0 0.707103 -0.7071105 0 0.9659256 -0.2588198 0 0.9659256 -0.2588198 0 0.9659256 0.2588198 0 0.9659256 0.2588198 0 0.707103 0.7071105 0 0.707103 0.7071105 0 0.5086519 0.5086574 -0.6946516 0.1861418 0.6946278 -0.6948694 0.6947753 0.186165 -0.6947157 0.5085116 0.5084748 -0.6948881 0.6946866 -0.1861413 -0.6948108 0.6946883 0.186129 -0.6948123 0.5084931 -0.5084986 -0.6948841 0.6947799 -0.1861536 -0.694714 0.5086758 -0.5086389 -0.6946476 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9510561 -0.3090184 0 0.9510541 0.3090178 -0.002021133 0.9510416 0.3090628 0 0.5877844 -0.809017 0.001098752 0.9510397 -0.3090623 -0.002020239 0 -1 -2.45821e-4 0.5877306 -0.8090549 -0.001741051 -0.5877838 -0.8090162 -0.00174117 0 -1 -2.45821e-4 -0.9510541 -0.3090178 -0.002021133 -0.5877311 -0.8090556 0.001099109 -0.9510561 0.3090184 0 -0.9510416 -0.3090628 0 -0.5877844 0.809017 0.001098752 -0.9510397 0.3090623 -0.002020895 0 1 -2.45821e-4 -0.5877306 0.8090549 -0.001741051 0.5877838 0.8090162 -0.00174117 0 1 -2.45821e-4 0.5877311 0.8090556 0.001099109 0 0 -1 0.9807773 0.1951301 0 0.9807772 -0.19513 -4.268e-4 0.9807806 -0.1951138 0 0 0 -1 0.8314917 0.5555368 6.61788e-4 0 0 -1 0.9807806 0.1951138 -4.26846e-4 0 0 -1 0.5555369 0.8314919 -2.31762e-4 0 0 -1 0.8314704 0.5555668 0.001610934 0 0 -1 0.1951301 0.9807773 1.11916e-4 0 0 -1 0.5555767 0.8314639 -0.001485407 0 0 -1 -0.1951299 0.9807766 0.001176238 0 0 -1 0.1950894 0.9807847 0.001176238 0 0 -1 -0.5555362 0.831491 -0.001485228 0 0 -1 -0.1950895 0.9807854 1.12087e-4 0 0 -1 -0.8314908 0.5555362 0.001611053 0 0 -1 -0.5555773 0.8314648 -2.3153e-4 0 0 -1 -0.9807772 0.19513 -4.268e-4 -0.8314712 0.5555674 6.61888e-4 -0.9807773 -0.1951301 0 -0.9807806 0.1951138 0 -0.8314917 -0.5555368 6.61788e-4 -0.9807806 -0.1951138 -4.26603e-4 -0.5555369 -0.8314919 -2.31762e-4 -0.8314704 -0.5555668 0.001610934 -0.1951301 -0.9807773 1.11916e-4 -0.5555767 -0.8314639 -0.001485407 0.1951299 -0.9807766 0.001176238 -0.1950894 -0.9807847 0.001176238 0.5555362 -0.831491 -0.001485228 0.1950895 -0.9807854 1.12087e-4 0.8314908 -0.5555362 0.001611053 0.5555773 -0.8314648 -2.3153e-4 0.8314712 -0.5555674 6.61888e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.5000154 0.8660166 0 0 0 -1 -0.5000154 0.8660166 0 0 0 -1 -0.5000154 0.8660166 0 0 0 -1 1 0 0 0.5000154 0.8660166 0 0 0 -1 0.4999946 -0.8660285 0 0 0 -1 1 0 0 0 0 -1 -0.4999946 -0.8660285 0 0 0 -1 0.4999946 -0.8660285 0 0 0 -1 -1 0 0 -0.4999946 -0.8660285 0 0 0 -1 -1 0 0 0 0 -1 -0.8660166 0.5000154 0 0 0 -1 -0.8660166 -0.5000154 0 0 0 -1 0 0 -1 -0.8660166 -0.5000154 0 0 0 -1 0 1 0 -0.8660166 0.5000154 0 0 0 -1 0.8660285 0.4999946 0 0 1 0 0 0 -1 0.8660285 -0.4999946 0 0 0 -1 0 0 -1 0.8660285 0.4999946 0 0 0 -1 0 -1 0 0.8660285 -0.4999946 0 0 -1 0 0 0 -1 -0.5000154 -0.8660166 0 0 0 -1 0.5000154 -0.8660166 0 0 0 -1 0.5000154 -0.8660166 0 0 0 -1 -1 0 0 -0.5000154 -0.8660166 0 0 0 -1 -0.4999946 0.8660285 0 0 0 -1 -1 0 0 0 0 -1 0.4999946 0.8660285 0 0 0 -1 -0.4999946 0.8660285 0 0 0 -1 1 0 0 0.4999946 0.8660285 0 0 0 -1 1 0 0 0 0 -1 0.8660166 -0.5000154 0 0 0 -1 0.8660166 0.5000154 0 0 0 -1 0 0 -1 0.8660166 0.5000154 0 0 0 -1 0 -1 0 0.8660166 -0.5000154 0 0 0 -1 -0.8660285 -0.4999946 0 0 -1 0 0 0 -1 -0.8660285 0.4999946 0 0 0 -1 0 0 -1 -0.8660285 -0.4999946 0 0 0 -1 0 1 0 -0.8660285 0.4999946 0 0 1 0 0 0 -1 -0.1861729 0.6947438 -0.6947451 0.1861361 0.6946064 -0.6948922 0.1861546 0.6947463 -0.6947475 -0.5086603 0.5086234 -0.6946704 0 0 -1 0 0 -1 -0.186119 0.6946135 -0.6948899 0 0 -1 -0.6947588 0.1861479 -0.6947368 -0.5084776 0.5084831 -0.6949069 -0.6946669 -0.1861233 -0.6948351 -0.6946654 0.1861355 -0.6948335 0 0 -1 -0.5084961 -0.5084592 -0.6949108 0 0 -1 -0.694754 -0.1861593 -0.6947384 -0.1861361 -0.6946064 -0.6948922 0 0 -1 -0.5086364 -0.5086418 -0.6946745 0 0 -1 0.1861729 -0.6947438 -0.6947451 -0.1861546 -0.6947463 -0.6947475 0.5086603 -0.5086234 -0.6946704 0 0 -1 0 0 -1 0.186119 -0.6946135 -0.6948899 0 0 -1 0.6947588 -0.1861479 -0.6947368 0.5084776 -0.5084831 -0.6949069 0.6946669 0.1861233 -0.6948351 0.6946654 -0.1861355 -0.6948335 0 0 -1 0.5084961 0.5084592 -0.6949108 0 0 -1 0.694754 0.1861593 -0.6947384 0 0 -1 0.5086364 0.5086418 -0.6946745 -0.689153 0.223903 -0.6891556 -0.6890576 -0.223872 -0.6892611 -0.6891503 -0.2239201 -0.6891528 -0.4260167 0.5863218 -0.6890113 -0.6890498 0.2238874 -0.6892639 0 0.7247451 -0.6890171 -0.4259349 0.5862413 -0.6891303 0.4259443 0.5862222 -0.6891407 0 0.7247451 -0.6890171 0.6890576 0.223872 -0.6892611 0.4260016 0.5863368 -0.6890079 0.689153 -0.223903 -0.6891556 0.6891503 0.2239201 -0.6891528 0.4260167 -0.5863218 -0.6890113 0.6890498 -0.2238874 -0.6892639 0 -0.7247451 -0.6890171 0.4259349 -0.5862413 -0.6891303 -0.4259443 -0.5862222 -0.6891407 0 -0.7247451 -0.6890171 -0.4260016 -0.5863368 -0.6890079 -0.3779605 -0.6546561 0.6546535 0.3779659 -0.6546546 0.654652 0.3779631 -0.6546607 0.6546475 -0.7559275 0 0.6546553 -0.3779671 -0.6546567 0.6546491 -0.3779724 0.6546405 0.6546623 -0.7559275 0 0.6546553 -0.3779666 0.6546531 0.6546531 0.3779779 0.6546499 0.6546499 0 0 1 0.377964 0.6546486 0.6546591 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7559275 0 0.6546553 0.7559275 0 0.6546553 0 0 1 0 0 1 0 0 1 0 0 1 0.6546561 -0.3779605 0.6546535 0.6546546 0.3779659 0.654652 0.6546607 0.3779631 0.6546475 0 -0.7559275 0.6546553 0.6546567 -0.3779671 0.6546491 -0.6546405 -0.3779724 0.6546623 0 -0.7559275 0.6546553 -0.6546531 -0.3779666 0.6546531 -0.6546499 0.3779779 0.6546499 0 0 1 -0.6546486 0.377964 0.6546591 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.7559275 0.6546553 0 0.7559275 0.6546553 0 0 1 0.3779605 0.6546561 0.6546535 -0.3779659 0.6546546 0.654652 -0.3779631 0.6546607 0.6546475 0.7559275 0 0.6546553 0.3779671 0.6546567 0.6546491 0.3779724 -0.6546405 0.6546623 0.7559275 0 0.6546553 0.3779666 -0.6546531 0.6546531 -0.3779779 -0.6546499 0.6546499 0 0 1 -0.377964 -0.6546486 0.6546591 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7559275 0 0.6546553 -0.7559275 0 0.6546553 0 0 1 0 0 1 0 0 1 0 0 1 -0.6546561 0.3779605 0.6546535 -0.6546546 -0.3779659 0.654652 -0.6546607 -0.3779631 0.6546475 0 0.7559275 0.6546553 -0.6546567 0.3779671 0.6546491 0.6546405 0.3779724 0.6546623 0 0.7559275 0.6546553 0.6546531 0.3779666 0.6546531 0.6546499 -0.3779779 0.6546499 0 0 1 0.6546486 -0.377964 0.6546591 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7559275 0.6546553 0 -0.7559275 0.6546553 0 0 1 -0.9510558 -0.309019 1.24711e-5 -0.9510563 -0.3090174 0 -0.9510558 0.309019 0 -0.587788 -0.809015 0 -0.5877846 -0.8090174 3.26329e-5 0 -1 0 0 -1 0 0.5877903 -0.8090133 3.26494e-5 0.5877846 -0.8090174 -2.31322e-5 0.9510558 -0.309019 0 0.9510563 -0.3090174 1.25989e-5 0.9510563 0.3090174 0 0.9510558 0.309019 1.24711e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9510563 0.3090174 1.25989e-5 0.587788 0.809015 0 0.5877846 0.8090174 3.26329e-5 0 1 0 0 1 0 -0.5877903 0.8090133 3.26494e-5 -0.5877846 0.8090174 -2.31322e-5 0 0 -1 0 0 -1 -0.2588163 -0.9659265 0 -0.2588163 -0.9659265 0 0.2588163 -0.9659265 0 -0.707103 -0.7071107 0 -0.707103 -0.7071107 0 -0.9659256 -0.2588198 0 -0.9659256 -0.2588198 0 -0.9659256 0.2588198 0 -0.9659256 0.2588198 0 -0.707103 0.7071107 0 -0.707103 0.7071107 0 -0.2588163 0.9659265 0 -0.2588163 0.9659265 0 0.2588163 0.9659265 0 0.2588163 0.9659265 0 -0.1861549 0.6947475 0.6947462 0.1861193 0.6946147 0.6948884 0.1861732 0.6947451 0.6947437 -0.5086373 0.5086428 0.6946731 -0.1861364 0.6946078 0.6948908 -0.6947553 0.1861596 0.6947371 -0.5084969 0.5084601 0.6949094 -0.6946666 -0.1861358 0.6948322 -0.6946684 0.1861237 0.6948338 -0.5084785 -0.508484 0.6949055 -0.69476 -0.1861482 0.6947354 -0.1861193 -0.6946147 0.6948884 -0.5086612 -0.5086244 0.6946691 0.2588163 -0.9659265 0 0.1861549 -0.6947475 0.6947462 -0.1861732 -0.6947451 0.6947438 0.707103 0.7071107 0 0.707103 0.7071107 0 0.9659256 0.2588198 0 0.9659256 0.2588198 0 0.9659256 -0.2588198 0 0.9659256 -0.2588198 0 0.707103 -0.7071107 0 0.707103 -0.7071107 0 0.5086373 -0.5086428 0.6946731 0.1861364 -0.6946078 0.6948908 0.6947553 -0.1861596 0.6947371 0.5084969 -0.5084601 0.6949094 0.6946666 0.1861358 0.6948322 0.6946684 -0.1861237 0.6948338 0.5084785 0.508484 0.6949055 0.69476 0.1861482 0.6947354 0.5086612 0.5086244 0.6946691 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.951056 0.3090184 0 0.9510541 -0.3090178 0.00202167 0.9510416 -0.3090628 0 0.5877842 0.809017 -0.001099109 0.9510397 0.3090622 0.002020835 0 1 2.45891e-4 0.5877306 0.8090548 0.001741528 -0.5877837 0.8090162 0.001741647 0 0.9999999 2.45891e-4 -0.9510541 0.3090178 0.00202167 -0.5877312 0.8090556 -0.001099407 -0.951056 -0.3090184 0 -0.9510416 0.3090628 0 -0.5877842 -0.809017 -0.001099109 -0.9510397 -0.3090623 0.002021491 0 -1 2.45891e-4 -0.5877306 -0.8090548 0.001741528 0.5877837 -0.8090162 0.001741647 0 -0.9999999 2.45891e-4 0.5877312 -0.8090556 -0.001099407 0 0 1 0.9807774 -0.1951301 0 0.9807773 0.1951301 4.26921e-4 0.9807806 0.1951138 0 0 0 1 0.8314918 -0.5555367 -6.61976e-4 0 0 1 0.9807806 -0.1951138 4.26966e-4 0 0 1 0.5555368 -0.831492 2.31828e-4 0 0 1 0.8314703 -0.5555668 -0.001611351 0 0 1 0.1951301 -0.9807774 -1.11947e-4 0 0 1 0.5555768 -0.831464 0.001485824 0 0 1 -0.1951299 -0.9807767 -0.001176536 0 0 1 0.1950894 -0.9807848 -0.001176595 0 0 1 -0.5555362 -0.831491 0.001485645 0 0 1 -0.1950895 -0.9807854 -1.12119e-4 0 0 1 -0.8314909 -0.5555361 -0.00161153 0 0 1 -0.5555773 -0.8314649 2.31596e-4 0 0 1 -0.9807773 -0.1951301 4.26921e-4 -0.8314713 -0.5555674 -6.62076e-4 -0.9807774 0.1951301 0 -0.9807806 -0.1951138 0 -0.8314918 0.5555367 -6.61976e-4 -0.9807806 0.1951138 4.26724e-4 -0.5555368 0.831492 2.31828e-4 -0.8314703 0.5555668 -0.001611351 -0.1951301 0.9807774 -1.11947e-4 -0.5555768 0.831464 0.001485824 0.1951299 0.9807767 -0.001176536 -0.1950894 0.9807848 -0.001176595 0.5555362 0.831491 0.001485645 0.1950895 0.9807854 -1.12119e-4 0.8314909 0.5555361 -0.00161153 0.5555773 0.8314649 2.31596e-4 0.8314713 0.5555674 -6.62076e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0.9191052 0.1970065 -0.3412241 1 0 0 0.6947206 0.6229141 -0.3596408 1 0 0 0.9174575 0.3521318 -0.1851347 1 0 0 0.7040362 0.09269434 -0.7040886 1 0 0 1 0 0 1 0 0 0.3700576 0.450974 -0.8122068 0.6947205 0.3596384 -0.6229155 1 0 0 -0.9608508 -0.03616416 -0.2746961 1 0 0 1 0 0 1 0 0 0.6947211 -0.3596395 -0.6229143 1 0 0 0.6947197 0 -0.7192806 1 0 0 0.6947366 -0.6229014 -0.3596314 0.6947502 -0.359624 -0.6228906 1 0 0 0.7040706 -0.704055 -0.09268897 1 0 0 0.6947519 -0.6228883 -0.3596249 1 0 0 -0.9608478 -0.2747063 0.03616511 1 0 0 1 0 0 1 0 0 0.6947525 -0.6228889 0.3596228 1 0 0 1 0 0 1 0 0 0.6947558 -0.7192458 0 1 0 0 0.9191051 -0.1970052 0.3412253 1 0 0 0.9174577 -0.3521318 0.185134 1 0 0 0.7040706 -0.09268897 0.7040548 1 0 0 1 0 0 1 0 0 0.6947522 -0.3596246 0.622888 0.3699027 -0.4509993 0.8122633 1 0 0 -0.9608477 0.03616511 0.2747063 1 0 0 1 0 0 1 0 0 0.694752 0.359624 0.6228886 1 0 0 0.6947558 0 0.7192458 1 0 0 0.6947504 0.6228896 0.3596253 0.6947368 0.3596321 0.6229009 1 0 0 0.7040364 0.7040886 0.09269434 1 0 0 0.6947212 0.6229149 0.359638 1 0 0 -0.9608508 0.274696 -0.0361641 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6947197 0.7192806 0 0 -0.8660246 0.5000015 0 -0.5000015 0.8660246 0 -0.5000015 0.8660246 1 0 0 0 -1 0 1 0 0 0 -0.8660246 0.5000015 0 -0.8660247 -0.5000014 1 0 0 0 -1 0 0 -0.500001 -0.8660248 0 -0.8660247 -0.5000014 0 0 -1 1 0 0 1 0 0 0 -0.500001 -0.8660248 0 0.499996 -0.8660277 0 0 -1 0 0.8660277 -0.499996 0 0.499996 -0.8660277 1 0 0 0 1 0 1 0 0 0 0.8660277 -0.499996 0 0.8660248 0.500001 1 0 0 0 1 0 0 0.5000014 0.8660247 0 0.8660248 0.500001 0 0 1 1 0 0 1 0 0 0 0.5000014 0.8660247 0 0 1 0 1 1.80775e-4 -2.55494e-4 -1.80666e-4 -1 0 0 -1 -2.58157e-4 1.8255e-4 1 -2.55616e-4 1 0 0 -1 -1.72776e-4 0 0 1 -2.44307e-4 -1 0 0 1 1.20444e-4 -2.55663e-4 -1.80787e-4 -1 0 0 -1 -2.44336e-4 1.72778e-4 1 -1.703e-4 1 0 0 -1 -1.84431e-4 0 0 1 -2.60771e-4 -1 0 0 1 1.80787e-4 -1.70329e-4 -1.20444e-4 -1 0 0 -1 -2.60819e-4 1.84431e-4 1 -2.55616e-4 0.9999999 0 0 -1 -1.72778e-4 0 0 1 -2.44307e-4 -0.9999999 0 0 1 1.80666e-4 -2.55663e-4 -1.80774e-4 -0.9999999 0 0 -1 -2.44351e-4 1.72776e-4 1 -2.5545e-4 1 0 0 -1 -1.8255e-4 0 0 1 -2.58111e-4 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.8660262 -0.4999985 0 0.4999985 -0.8660262 0 0.4999985 -0.8660262 0 1 0 0 0.8660262 -0.4999985 0 0.8660263 0.4999986 0 1 0 0 0.5000015 0.8660245 0 0.8660263 0.4999986 0 0 1 0 0.5000015 0.8660245 0 -0.5000017 0.8660245 0 0 1 0 -0.8660245 0.5000017 0 -0.5000017 0.8660245 0 -1 0 0 -0.8660245 0.5000017 0 -0.8660245 -0.5000015 0 -1 0 0 -0.4999986 -0.8660263 0 -0.8660245 -0.5000015 0 0 -1 0 -0.4999986 -0.8660263 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9168651 -0.3556877 0.181231 0.6891136 -0.3289844 0.6456717 0.9187854 -0.1945636 0.3434796 0.6891467 -0.7157009 -0.1133539 0.3684036 -0.8207073 0.4367131 0.6891128 -0.6456702 0.3289885 0.6891297 -0.5123953 -0.5123976 0.6891733 -0.7156756 -0.1133515 0.6891747 -0.1133524 -0.7156742 0.6891036 -0.5124139 -0.512414 0.6891553 0.3289654 -0.6456367 0.6891926 -0.1133486 -0.7156575 0.9168998 0.3556169 -0.1811942 0.91882 0.1945285 -0.3434072 0.6891925 0.7156575 0.1133497 0.3681866 0.8207804 -0.4367585 0.6891549 0.6456366 -0.3289665 0.6891042 0.5124148 0.5124125 0.6891746 0.7156745 0.1133513 0.6891729 0.11335 0.7156761 0.6891302 0.5123962 0.5123962 0.6891464 0.1133555 0.7157008 0.3666236 -0.422382 0.8289635 0 -0.8910049 0.4539939 0 -0.4539939 0.8910049 0 -0.4539939 0.8910049 0 -0.9876884 -0.1564339 0 -0.8910049 0.4539939 0 -0.7071067 -0.7071068 0 -0.9876884 -0.1564339 0 -0.1564339 -0.9876884 0 -0.7071067 -0.7071068 0.3664062 0.4224159 -0.8290424 0 0.4539886 -0.8910075 0 -0.1564339 -0.9876884 0 0.4539886 -0.8910075 0 0.8910075 -0.4539886 -0.3667039 -0.8289353 0.4223676 -0.3684837 -0.4366955 0.8206806 -0.6891128 -0.3289885 0.6456702 -0.6891464 -0.7157008 -0.1133555 -0.9186961 -0.3436695 0.1946501 -0.6891134 -0.6456717 0.3289844 -0.68913 -0.5123963 -0.5123963 -0.6891729 -0.7156762 -0.11335 -0.6891745 -0.1133513 -0.7156745 -0.6891038 -0.5124128 -0.5124151 -0.6891551 0.3289664 -0.6456364 -0.6891924 -0.1133497 -0.7156575 -0.3682668 0.436741 -0.8207539 -0.3664864 0.8290142 -0.4224016 0 0.8910075 -0.4539886 -0.9167757 -0.181324 0.3558703 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9168106 0.1812872 -0.3557994 -1 0 0 -1 0 0 -0.9187308 0.3435968 -0.1946148 -1 0 0 -0.6891553 0.6456367 -0.3289654 -1 0 0 -1 0 0 -0.6891467 0.1133539 0.7157009 -1 0 0 -1 0 0 -0.6891297 0.5123976 0.5123953 -0.6891732 0.1133515 0.7156757 -1 0 0 -0.6891747 0.7156742 0.1133524 -1 0 0 -1 0 0 -0.6891039 0.5124139 0.5124137 -1 0 0 -0.6891927 0.7156575 0.1133486 0 0.8660263 -0.4999985 0 0.4999985 -0.8660263 0 0.4999985 -0.8660263 0 1 0 0 0.8660263 -0.4999985 -1 0 0 0 0.8660262 0.4999986 0 1 0 0 0.5000016 0.8660246 0 0.8660262 0.4999986 0 0 1 0 0.5000016 0.8660246 0 -0.5000017 0.8660244 0 0 1 0 -0.8660244 0.5000017 0 -0.5000017 0.8660244 0 -1 0 0 -0.8660244 0.5000017 -1 0 0 0 -0.8660246 -0.5000016 0 -1 0 0 -0.4999986 -0.8660262 0 -0.8660246 -0.5000016 0 0 -1 0 -0.4999986 -0.8660262 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.8660246 0.5000015 0 -0.5000015 0.8660246 0 -0.5000015 0.8660246 0 -1 0 0 -0.8660246 0.5000015 0 -0.8660246 -0.5000013 0 -1 0 0 -0.5000011 -0.8660249 0 -0.8660246 -0.5000013 0 0 -1 0 -0.5000011 -0.8660249 0 0.499996 -0.8660276 0 0 -1 0 0.8660276 -0.499996 0 0.499996 -0.8660276 0 1 0 0 0.8660276 -0.499996 0 0.8660249 0.5000011 0 1 0 0 0.5000013 0.8660246 0 0.8660249 0.5000011 0 0 1 0 0.5000013 0.8660246 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9190181 0.3414002 -0.1971081 -0.6947205 0.3596408 -0.6229141 -0.9173709 0.185242 -0.3523011 -1 0 0 -0.7040362 0.7040886 -0.09269434 -1 0 0 -0.370139 0.8121771 -0.4509606 -0.6947205 0.6229155 -0.3596384 0.9608507 0.274696 0.0361641 -1 0 0 -0.6947211 0.6229143 0.3596395 -0.6947197 0.7192806 0 -0.6947366 0.3596314 0.6229014 -0.6947502 0.6228907 0.359624 -0.7040706 0.09268897 0.704055 -0.694752 0.3596248 0.6228882 -1 0 0 0.9608478 -0.03616511 0.2747063 -1 0 0 -0.6947525 -0.3596228 0.6228889 -1 0 0 -0.6947557 0 0.7192458 -0.919018 -0.3414013 0.1971068 -0.917371 -0.1852414 0.3523012 -1 0 0 -0.7040707 -0.7040549 0.09268897 -1 0 0 -0.3699837 -0.8122338 0.450986 -0.6947519 -0.6228883 0.3596248 0.9608479 -0.2747063 -0.03616511 -1 0 0 -0.694752 -0.6228886 -0.359624 -0.6947557 -0.7192458 0 -0.6947504 -0.3596253 -0.6228896 -0.6947364 -0.6229012 -0.3596323 -0.7040364 -0.09269434 -0.7040886 -0.6947214 -0.3596379 -0.6229148 -1 0 0 0.9608508 0.0361641 -0.274696 -1 0 0 -1 0 0 -0.6947197 0 -0.7192806 0 -1.80666e-4 -1 2.55663e-4 0.9999999 1.80774e-4 0 1 0 2.44351e-4 -1 -1.72776e-4 2.5545e-4 0 -1 0 1.8255e-4 1 0 -1 0 2.58111e-4 0 1 0 -1.80787e-4 -1 1.70329e-4 1 1.20444e-4 0 1 0 2.60819e-4 -1 -1.84431e-4 2.55616e-4 0 -0.9999999 0 1.72778e-4 1 0 -1 0 2.44307e-4 0 0.9999999 0 -1.20444e-4 -1 2.55663e-4 1 1.80787e-4 0 1 0 2.44336e-4 -1 -1.72778e-4 1.703e-4 0 -1 0 1.84431e-4 1 0 -1 0 2.60771e-4 0 1 0 -1.80775e-4 -1 2.55494e-4 1 1.80666e-4 0 1 0 2.58157e-4 -1 -1.8255e-4 2.55616e-4 0 -1 0 1.72776e-4 1 0 -1 0 2.44307e-4 0 1 -0.3716211 0.4641903 -0.8040056 0 0.8660266 -0.4999979 0 0.4999979 -0.8660266 0 0.4999979 -0.8660266 0 1 0 0 0.8660266 -0.4999979 0 0.8660266 0.4999978 0 1 0 0 0.5000001 0.8660253 0 0.8660266 0.4999978 0 0 1 0 0.5000001 0.8660253 -0.3714658 -0.4642233 0.8040584 0 -0.5 0.8660253 0 0 1 0 -0.5 0.8660253 0 -0.8660253 0.5 0.3604019 0.8078272 -0.4663966 0.3713786 0.6514741 -0.6615584 -0.2184504 0.487922 -0.8451104 0.3559854 0.6455228 -0.6757032 0.2700921 0.9628344 0 -0.9953529 0.06861168 -0.06756579 -0.9947578 0.07394105 -0.07063847 0.3593769 0.8151481 -0.4542925 0.3591001 0.8152355 -0.4543548 0.4400633 0.7866599 -0.433025 -0.2184503 0.8451105 0.4879219 0.2700921 0.9628345 0 0.4400382 0.7866699 0.4330321 0.3593953 0.8151423 0.4542885 0.3604021 0.4663987 0.8078259 0.3713507 0.6664848 0.6464492 0.2701607 0 0.9628154 -0.9950614 0.06911242 0.07124835 0.3594099 0.4542852 0.8151378 0.3590605 0.4543637 0.815248 0.4401114 0.4330105 0.786641 -0.2185648 -0.4879112 0.845087 0.2701607 0 0.9628152 0.4400861 -0.4330177 0.786651 0.3594282 -0.454281 0.815132 0.3560739 -0.6455577 0.6756231 0.3713786 -0.6514741 0.6615584 0.3604021 -0.8078259 0.4663985 0 -0.8660253 0.5 1 0 0 1 0 0 1 0 0 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 1 0 0 0 -0.7071068 -0.7071068 -0.44005 0.7866655 -0.4330281 -0.3592374 0.8151935 -0.4543216 -0.3592391 0.8151929 -0.4543212 0 -0.7071068 -0.7071068 -0.2700828 0.9628371 0 -0.440025 0.7866756 0.4330353 -0.2700828 0.9628371 0 0.3590817 0.8152412 0.454359 -3.00223e-5 -0.7071017 0.7071118 -0.3592195 0.815199 0.4543256 3.64483e-5 -0.7071129 0.7071006 3.29218e-5 -0.7071068 0.7071068 1 0 0 1 0 0 -4.02855e-5 0.7070937 -0.7071198 0 0.7071063 -0.7071073 1 0 0 4.37257e-5 0.7071142 -0.7070994 -0.4400982 0.4330136 0.7866466 -0.3592703 0.4543142 0.8151831 -0.3591996 0.4543301 0.8152054 -3.60532e-5 0.7071008 -0.707113 -0.2701514 0 0.9628179 -0.4400729 -0.4330208 0.7866567 -0.2701514 0 0.9628179 0.3590421 -0.4543679 0.8152536 6.0162e-6 -0.7071058 -0.7071078 -0.3591806 -0.4543344 0.8152114 -7.29904e-6 -0.707108 -0.7071055 -2.92033e-7 -0.7071063 -0.7071073 1 0 0 1 0 0 -0.9953528 -0.06861215 0.06756633 1 0 0 -0.3559622 0.6757096 -0.6455289 -1 0 0 0.2184346 0.8451134 -0.4879238 0 -0.7071068 -0.7071068 -0.3713547 0.6615652 -0.6514808 -1 0 0 -0.3603785 0.4664012 -0.807835 0.9953522 0.0675708 -0.06861674 -1 0 0 0 0.8660266 -0.4999979 0 0.4999979 -0.8660266 0 0.4999979 -0.8660266 0 1 0 0 0.8660266 -0.4999979 -0.3603785 0.8078351 0.4664011 0 0.8660266 0.4999978 0.9950591 0.07126837 0.06912595 -0.3592557 0.8151876 0.4543175 0 1 0 0.2185483 0.4879131 0.8450901 0 0.5000001 0.8660253 -0.3713271 0.6464843 0.6664639 0 0.8660266 0.4999978 0 0 1 0 0.5000001 0.8660253 -0.3603787 -0.466403 0.8078337 0 -0.5 0.8660253 0.9953521 -0.06757128 0.06861722 0.9947606 -0.07062572 0.073915 -0.3592886 -0.4543102 0.8151773 0 0 1 -0.3713546 -0.6615651 0.6514808 0 -0.5 0.8660253 0 -0.8660253 0.5 -0.3560507 -0.6756295 0.6455638 0.218549 -0.8450901 0.487913 -1 0 0 -1 0 0 -1 0 0 3.54025e-7 -0.7071061 -0.7071074 -1 0 0 0 -0.7071063 -0.7071073 3.3199e-5 0.7071063 -0.7071073 -1 0 0 -1 0 0 -3.99096e-5 -0.7070943 0.7071191 -1 0 0 0 -0.7071068 0.7071068 0.3715401 0.8040338 -0.4642065 0.3713849 -0.8040865 0.4642395 0 -0.8660253 0.5 0 0.9876884 0.1564339 0 0.7071068 0.7071067 0 0.9876884 0.1564339 0 0.1564339 0.9876884 0 0.7071068 0.7071067 0 0.1564339 0.9876884 0 -1 0 0 -0.8660253 -0.5000001 0 -1 0 0 -0.4999978 -0.8660266 0 -0.8660253 -0.5000001 0 0 -1 0 -0.4999978 -0.8660266 0 0 -1 0.2701607 -0.9628154 0 -0.9947614 -0.07390952 0.07062053 0.3594282 -0.815132 0.454281 0.3590422 -0.8152536 0.4543679 0.4400861 -0.786651 0.4330177 -0.2185639 -0.8450871 -0.4879115 0.2701607 -0.9628152 0 0.4401115 -0.7866408 -0.4330105 0.3594099 -0.8151378 -0.4542852 0.3604019 -0.4663965 -0.8078272 0.3713509 -0.6664571 -0.6464777 0.2700921 0 -0.9628344 -0.9950598 -0.06912082 -0.07126307 0.3593953 -0.4542885 -0.8151423 0.3590817 -0.4543591 -0.8152412 0.440038 -0.4330322 -0.7866701 0.3593769 0.4542925 -0.8151481 0.4400637 0.4330248 -0.7866597 0.2700921 0 -0.9628345 0.3591001 0.4543548 -0.8152355 0 0.7071068 0.7071068 -0.4400505 0.433028 -0.7866654 -0.3592392 0.4543212 -0.8151929 0 0.7071068 0.7071068 0 0.7071068 0.7071068 1 0 0 1 0 0 -3.54217e-7 0.7071074 0.7071062 0 0.7071073 0.7071063 1 0 0 7.29543e-6 0.7071055 0.707108 -0.4400729 -0.7866567 0.4330208 -0.3591812 -0.8152111 0.4543343 -6.01865e-6 0.7071078 0.7071058 -0.3592886 -0.8151773 0.4543102 -0.2701514 -0.9628179 0 -0.4400983 -0.7866464 -0.4330136 -0.2701514 -0.9628179 0 0.3590605 -0.8152479 -0.4543637 3.60385e-5 0.7071129 -0.7071007 -0.3591995 -0.8152053 -0.45433 -4.37473e-5 0.7070993 -0.7071142 -3.32139e-5 0.7071073 -0.7071063 1 0 0 1 0 0 3.99313e-5 -0.7071192 0.7070944 0 -0.7071068 0.7071068 1 0 0 -3.64303e-5 -0.7071006 0.7071129 -0.4400248 -0.4330353 -0.7866757 -0.3592208 -0.4543254 -0.8151987 3.00346e-5 -0.7071118 0.7071017 -0.3592557 -0.4543175 -0.8151876 -0.2700828 0 -0.9628371 -0.2700828 0 -0.9628371 -3.29071e-5 -0.7071068 0.7071068 -0.3713269 -0.646456 -0.6664917 -1 0 0 0.2184349 -0.4879236 -0.8451134 0.9950607 -0.07125359 -0.06911754 -1 0 0 -0.3603793 -0.8078335 -0.466403 -0.3592703 -0.8151831 -0.4543141 4.02637e-5 0.7071198 -0.7070938 -1 0 0 0 0.7071073 -0.7071063 2.91902e-7 0.7071073 0.7071063 -1 0 0 0 -1 0 0 -0.8660253 -0.5000001 0 -1 0 0 -0.4999978 -0.8660266 0 -0.8660253 -0.5000001 0 0 -1 0 -0.4999978 -0.8660266 0.9947569 0.07064366 -0.07394653 -0.3592374 0.4543216 -0.8151935 0 0 -1 -1 0 0 0 0.7071068 0.7071068 -1 0 0 0 0.7071068 0.7071068 0 -0.7070914 -0.7071222 0 -0.7070914 -0.7071222 0 0.7071222 0.7070914 0 0.7071222 0.7070914 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -1 0 0 0 1 0 0 0 -1 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 0 -1 0.06361812 -0.9979742 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2947033 -0.9555888 0 0 0 -1 0 0 -1 0.06361812 -0.9979742 0 0 0 -1 0.6960131 -0.7180291 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2947033 -0.9555888 0 0 0 -1 0.9460257 -0.3240916 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6960131 -0.7180291 0 0 0 -1 0.9901109 0.1402869 0 0.9460257 -0.3240916 0 0 0 -1 0.8187591 0.5741371 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9901109 0.1402869 0 0 0 -1 0.4691506 0.8831182 0 0 0 -1 0 0 -1 0 0 -1 0.8187591 0.5741371 0 0 0 -1 0.0176416 0.9998444 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4691506 0.8831182 0 0 0 -1 -0.216121 0.9763665 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.0176416 0.9998444 0 0 0 -1 0 0 -1 0 0 -1 0 1 0 -0.2161217 0.9763665 2.64245e-5 -0.2161211 0.9763666 0 -0.2161202 0.9763668 -5.83848e-6 -0.2161211 0.9763665 0 0 1 0 -0.8660216 0.5000067 0 -0.8660216 -0.5000067 0 -0.8660216 -0.5000067 0 0 1 0 -0.8660216 0.5000067 0 0.8660216 0.5000067 0 0 1 0 0.8660216 -0.5000067 0 0.8660216 0.5000067 0 0 -1 0 0.8660216 -0.5000067 0 0 -1 0 -0.2588301 0.9659229 0 -0.9659229 0.2588301 0 -0.9659229 0.2588301 0 0.7071068 0.7071068 0 -0.2588301 0.9659229 0 0.9659229 -0.2588301 0 0.7071068 0.7071068 0 0 0 -1 0.2588301 -0.9659229 0 0 0 -1 0.9659229 -0.2588301 0 0 0 -1 -0.7071068 -0.7071068 0 0.2588301 -0.9659229 0 -0.7071068 -0.7071068 0 0 0 -1 0.5000067 0.8660216 0 -0.5000067 0.8660216 0 -0.5000067 0.8660216 0 0 0 -1 1 0 0 0.5000067 0.8660216 0 0 0 -1 0.5000067 -0.8660216 0 0 0 -1 0 0 -1 0 0 -1 1 0 0 0 0 -1 -0.5000067 -0.8660216 0 0 0 -1 0.5000067 -0.8660216 0 0 0 -1 -1 0 0 -0.5000067 -0.8660216 0 -1 0 0 0 0 -1 0.9659229 0.2588301 0 0 0 -1 0.2588301 0.9659229 0 0 0 -1 0.2588301 0.9659229 0 0 0 -1 0.7071068 -0.7071068 0 0 0 -1 0.9659229 0.2588301 0 0 0 -1 -0.2588301 -0.9659229 0 0.7071068 -0.7071068 0 0 0 -1 -0.9659229 -0.2588301 0 0 0 -1 -0.2588301 -0.9659229 0 0 0 -1 -0.7071068 0.7071068 0 0 0 -1 -0.9659229 -0.2588301 0 0 0 -1 -0.7071068 0.7071068 0 0 0 -1 0.8660216 -0.5000067 0 0 0 -1 0.8660216 0.5000067 0 0 0 -1 0 0 -1 0.8660216 0.5000067 0 0 0 -1 0 -1 0 0.8660216 -0.5000067 0 0 0 -1 -0.8660216 -0.5000067 0 0 -1 0 0 0 -1 -0.8660216 0.5000067 0 0 0 -1 0 0 -1 -0.8660216 -0.5000067 0 0 0 -1 0 1 0 -0.8660216 0.5000067 0 0 1 0 0.2588301 -0.9659229 0 0 0 -1 0.9659229 -0.2588301 0 0.9659229 -0.2588301 0 -0.7071068 -0.7071068 0 0.2588301 -0.9659229 0 0 0 -1 -0.9659229 0.2588301 0 -0.7071068 -0.7071068 0 0 0 -1 -0.2588301 0.9659229 0 0 0 -1 -0.9659229 0.2588301 0 0 0 -1 0.7071068 0.7071068 0 -0.2588301 0.9659229 0 0 0 -1 0.7071068 0.7071068 0 -0.5000067 -0.8660216 0 0.5000067 -0.8660216 0 0.5000067 -0.8660216 0 -1 0 0 -0.5000067 -0.8660216 0 0 0 -1 -0.5000067 0.8660216 0 -1 0 0 0 0 -1 0.5000067 0.8660216 0 0 0 -1 -0.5000067 0.8660216 0 0 0 -1 1 0 0 0.5000067 0.8660216 0 1 0 0 -0.9659229 -0.2588301 0 -0.2588301 -0.9659229 0 -0.2588301 -0.9659229 0 0 0 -1 -0.7071068 0.7071068 0 -0.9659229 -0.2588301 0 0 0 -1 0.2588301 0.9659229 0 -0.7071068 0.7071068 0 0 0 -1 0.9659229 0.2588301 0 0 0 -1 0.2588301 0.9659229 0 0.7071068 -0.7071068 0 0.9659229 0.2588301 0 0.7071068 -0.7071068 0 0 0 -1 0.8660227 -0.5000048 0 0 0 -1 0.8660296 0.4999927 0 0 0 -1 0 0 -1 0 0 -1 0.8660296 0.4999927 0 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660227 -0.5000048 0 0 0 -1 -0.8660436 -0.4999684 0 0 -1 0 0 0 -1 -0.8660506 0.4999563 0 0 0 -1 0 0 -1 0 0 -1 -0.8660436 -0.4999684 0 0 0 -1 0 1 0 0 0 -1 -0.8660506 0.4999563 0 0 1 0 0 0 -1 0.8660227 -0.5000048 0 0 0 -1 0.8660296 0.4999926 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660296 0.4999926 0 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660227 -0.5000048 0 -0.8660227 -0.5000048 0 0 -1 0 0 0 -1 -0.8660296 0.4999926 0 0 0 -1 0 0 -1 -0.8660227 -0.5000048 0 0 0 -1 0 1 0 0 0 -1 -0.8660296 0.4999926 0 0 1 0 0 0 -1 -0.8660303 0.4999914 0 -0.8660227 -0.5000047 0 -0.8660227 -0.5000047 0 0 0 -1 0 1 0 0 0 -1 -0.8660303 0.4999914 0 0 0 -1 0.8660303 0.4999914 0 0 1 0 0 0 -1 0.8660227 -0.5000047 0 0.8660303 0.4999914 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660227 -0.5000047 0 0 -1 0 0 0 -1 -0.8660313 0.4999898 0 -0.8660223 -0.5000054 0 -0.8660223 -0.5000054 0 0 0 -1 0 1 0 0 0 -1 -0.8660313 0.4999898 0 0 0 -1 0.8660333 0.4999864 0 0 1 0 0 0 -1 0.8660243 -0.5000021 0 0.8660333 0.4999864 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660243 -0.5000021 0 0 -1 0 0 0 -1 -0.8660313 0.4999898 0 -0.8660313 -0.4999898 0 -0.8660313 -0.4999898 0 0 0 -1 0 1 0 0 0 -1 -0.8660313 0.4999898 0 0 0 -1 0.8660274 0.4999965 0 0 1 0 0 0 -1 0.8660274 -0.4999965 0 0.8660274 0.4999965 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660274 -0.4999965 0 0 -1 0 0 0 -1 -0.8660023 0.5000401 0 -0.8660015 -0.5000416 0 -0.8660015 -0.5000416 0 0 0 -1 0 1 0 0 0 -1 -0.8660023 0.5000401 0 0 0 -1 0.866055 0.4999486 0 0 1 0 0 0 -1 0.8660542 -0.4999501 0 0.866055 0.4999486 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660542 -0.4999501 0 0 -1 0 0 0 -1 -0.8659952 0.5000524 0 -0.8660041 -0.5000369 0 -0.8660041 -0.5000369 0 0 0 -1 0 1 0 0 0 -1 -0.8659952 0.5000524 0 0 0 -1 0.8660186 0.5000118 0 0 1 0 0 0 -1 0.8660275 -0.4999963 0 0.8660186 0.5000118 0 0 -1 0 0 0 -1 0 0 -1 0.8660275 -0.4999963 0 0 -1 0 0 0 -1 -0.8660174 0.500014 0 0 0 -1 -0.86601 -0.5000267 0 -0.86601 -0.5000267 0 0 1 0 0 0 -1 -0.8660174 0.500014 0 0 0 -1 0.866031 0.4999902 0 0 1 0 0 0 -1 0.8660237 -0.500003 0 0 0 -1 0.866031 0.4999902 0 0 0 -1 0 -1 0 0 0 -1 0.8660237 -0.500003 0 0 -1 0 0 0 -1 -0.8660144 0.5000191 0 0 0 -1 -0.866016 -0.5000161 0 -0.866016 -0.5000161 0 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660144 0.5000191 0 0 0 -1 0.866031 0.4999902 0 0 1 0 0 0 -1 0.8660327 -0.4999873 0 0 0 -1 0.866031 0.4999902 0 0 0 -1 0 -1 0 0 0 -1 0.8660327 -0.4999873 0 0 -1 0 0 0 -1 -0.8660134 0.5000208 0 0 0 -1 -0.8660151 -0.5000178 0 -0.8660151 -0.5000178 0 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660134 0.5000208 0 0 0 -1 0.866031 0.4999902 0 0 1 0 0 0 -1 0.8660327 -0.4999873 0 0 0 -1 0.866031 0.4999902 0 0 0 -1 0 -1 0 0 0 -1 0.8660327 -0.4999873 0 0 -1 0 0 0 -1 -0.8660203 0.5000088 0 0 0 -1 -0.8660271 -0.499997 0 -0.8660271 -0.499997 0 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660203 0.5000088 0 0 0 -1 0.8660223 0.5000054 0 0 1 0 0 0 -1 0.866029 -0.4999936 0 0 0 -1 0.8660223 0.5000054 0 0 0 -1 0 -1 0 0 0 -1 0.866029 -0.4999936 0 0 -1 0 0 0 -1 -0.8660288 0.4999941 0 0 0 -1 -0.8660186 -0.5000117 0 -0.8660186 -0.5000117 0 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660288 0.4999941 0 0.8660288 0.4999941 0 0 1 0 0 0 -1 0.8660186 -0.5000117 0 0.8660288 0.4999941 0 0 0 -1 0 -1 0 0 0 -1 0.8660186 -0.5000117 0 0 -1 0 0 0 -1 0.2161215 -0.9763665 0 0.5735354 -0.8191809 0 0.5735354 -0.8191809 0 0 0 -1 -0.1742495 -0.9847015 0 0.2161215 -0.9763665 0 0 0 -1 -0.8191864 -0.5735274 0 0 0 -1 -0.1742495 -0.9847015 0 0 0 -1 -0.9763661 -0.2161231 0 -0.8191864 -0.5735274 0 0 0 -1 -0.9773107 0.211811 0 0 0 -1 -0.9763661 -0.2161231 0 0 0 -1 -0.4749419 0.8800173 0 -0.9773107 0.211811 0 -0.06361931 0.9979743 0 0 0 -1 0 0 -1 -0.4749419 0.8800173 0 0 0 -1 0.2866168 0.9580454 0 -0.06361931 0.9979743 0 0 0 -1 0.8407223 0.5414665 0 0.2866168 0.9580454 0 0 0 -1 0.9763653 0.2161266 0 0 0 -1 0 0 -1 0.8407223 0.5414665 0 0.9847018 -0.1742483 0 0 0 -1 0.9763653 0.2161266 0 0.9847018 -0.1742483 0 -0.06361925 0.9979743 0 -0.4382421 0.8988569 0 -0.4382421 0.8988569 0 0.2866186 0.9580448 0 -0.06361925 0.9979743 0 0.8407205 0.5414694 0 0.2866186 0.9580448 0 0 0 -1 0.9763666 0.216121 0 0 0 -1 0.8407205 0.5414694 0 0 0 -1 0.9847051 -0.1742299 0 0 0 -1 0.9763666 0.216121 0 0.5735322 -0.819183 0 0.9847051 -0.1742299 0 0.2161213 -0.9763665 0 0.5735322 -0.819183 0 -0.171308 -0.9852175 0 0.2161213 -0.9763665 0 -0.8140814 -0.5807508 0 -0.171308 -0.9852175 0 0 0 -1 -0.9873271 0.1586986 0 0 0 -1 -0.8140814 -0.5807508 0 -0.9494705 0.3138563 0 -0.9873271 0.1586986 0 -0.9901109 -0.1402871 1.572e-4 -0.9494532 0.3139086 -1.61144e-4 -0.8249109 -0.5652627 -1.65396e-4 0 0 -1 -0.9901111 -0.140286 1.54005e-4 -0.9043803 -0.4267275 0 -0.8248791 -0.5653094 0 0 0 -1 -0.9433733 0.3317332 0 -0.9043803 -0.4267275 0 -0.9433733 0.3317332 0 -0.9773179 0.211778 0 -0.9763671 -0.2161187 0 -0.9763671 -0.2161187 0 -0.4749444 0.8800158 0 -0.9773179 0.211778 0 -0.06361794 0.9979744 0 -0.4749444 0.8800158 0 0.2866143 0.9580461 0 -0.06361794 0.9979744 0 0 0 -1 0.8407223 0.5414665 0 0.2866143 0.9580461 0 0 0 -1 0.9763666 0.2161209 0 0 0 -1 0 0 -1 0.8407223 0.5414665 0 0.9847062 -0.1742234 0 0.9763666 0.2161209 0 0.5735354 -0.8191809 0 0.9847062 -0.1742234 0 0.2161217 -0.9763664 0 0.5735354 -0.8191809 0 -0.1742336 -0.9847043 0 0.2161217 -0.9763664 0 -0.8191758 -0.5735426 0 -0.1742336 -0.9847043 0 -0.8191758 -0.5735426 0 -0.9773114 0.2118078 0 -0.9763658 -0.2161243 0 -0.9763658 -0.2161243 0 -0.4749444 0.8800158 0 -0.9773114 0.2118078 0 -0.06361711 0.9979743 0 -0.4749444 0.8800158 0 0.2866231 0.9580434 0 -0.06361711 0.9979743 0 0.8407052 0.5414931 0 0.2866231 0.9580434 0 0.9763666 0.2161212 0 0.8407052 0.5414931 0 0.9847011 -0.1742516 0 0.9763666 0.2161212 0 0.5735354 -0.8191809 0 0.9847011 -0.1742516 0 0.2161261 -0.9763654 0 0.2161261 -0.9763654 0 0.5735354 -0.8191809 0 -0.1742626 -0.9846993 0 -0.8192058 -0.5734997 0 -0.1742626 -0.9846993 0 -0.9763776 -0.2160711 0 -0.9763776 -0.2160711 0 -0.8192058 -0.5734997 0 -0.8193642 -0.5732734 0 -0.1739742 -0.9847502 1.73193e-4 -0.8192094 -0.5734944 1.7218e-4 0.2160985 -0.9763716 0 -0.1742416 -0.9847029 0 -0.1742357 -0.984704 0 0.2160985 -0.9763716 0 -0.8191769 -0.5735408 0 -0.1742357 -0.984704 0 -0.8191769 -0.5735408 0 0 0 -1 -0.9773173 0.2117804 0 0 0 -1 -0.9763665 -0.2161216 0 0 0 -1 -0.9763665 -0.2161216 0 -0.4749427 0.8800168 0 -0.9773173 0.2117804 0 -0.06361877 0.9979742 0 -0.4749427 0.8800168 0 0.2866143 0.9580461 0 -0.06361877 0.9979742 0 0.8407287 0.5414568 0 0.2866143 0.9580461 0 0 0 -1 0.9763664 0.216122 0 0 0 -1 0.8407287 0.5414568 0 0 0 -1 0.984701 -0.1742522 0 0 0 -1 0.9763664 0.216122 0 0.5735363 -0.8191801 0 0.984701 -0.1742522 0 0.21612 -0.9763668 0 0.5735363 -0.8191801 0 -0.174237 -0.9847038 0 0.21612 -0.9763668 0 -0.8191765 -0.5735414 0 -0.174237 -0.9847038 0 0 0 -1 -0.8191765 -0.5735414 0 0.9847011 -0.1742517 0 0.9763666 0.2161206 0 0.9763666 0.2161206 0 0.5735511 -0.8191698 0 0.9847011 -0.1742517 0 0.2161213 -0.9763666 0 0.5735511 -0.8191698 0 -0.1742286 -0.9847053 0 0.2161213 -0.9763666 0 -0.8191838 -0.5735312 0 -0.1742286 -0.9847053 0 0 0 -1 -0.9763664 -0.2161217 0 0 0 -1 -0.8191838 -0.5735312 0 0 0 -1 -0.9773151 0.2117905 0 0 0 -1 -0.9763664 -0.2161217 0 -0.4749453 0.8800153 0 -0.9773151 0.2117905 0 -0.06361842 0.9979743 0 -0.4749453 0.8800153 0 0.2866197 0.9580444 0 -0.06361842 0.9979743 0 0.8407138 0.5414798 0 0.2866197 0.9580444 0 0.8407138 0.5414798 0 0.9847047 -0.1742309 0 0.9763667 0.2161202 0 0.9763667 0.2161202 0 0.5735317 -0.8191834 0 0.9847047 -0.1742309 0 0.2161218 -0.9763664 0 0.5735317 -0.8191834 0 -0.174229 -0.9847052 0 0.2161218 -0.9763664 0 -0.8191839 -0.5735311 0 -0.174229 -0.9847052 0 -0.9763666 -0.2161208 0 -0.8191839 -0.5735311 0 -0.9773147 0.2117926 0 -0.9763666 -0.2161208 0 -0.4749532 0.8800111 0 -0.9773147 0.2117926 0 -0.06361758 0.9979743 0 -0.4749532 0.8800111 0 0.286616 0.9580456 0 -0.06361758 0.9979743 0 0.8407015 0.5414988 0 0.286616 0.9580456 0 0.8407015 0.5414988 0 -0.9773105 0.2118115 0 -0.9763667 -0.2161206 0 -0.9763667 -0.2161206 0 -0.4749712 0.8800013 0 -0.9773105 0.2118115 0 -0.063618 0.9979743 0 -0.4749712 0.8800013 0 0.2866365 0.9580395 0 -0.063618 0.9979743 0 0.8407223 0.5414665 0 0.2866365 0.9580395 0 0.9763668 0.2161198 0 0.8407223 0.5414665 0 0.984707 -0.1742188 0 0.9763668 0.2161198 0 0.5735355 -0.8191807 0 0.984707 -0.1742188 0 0.216118 -0.9763672 0 0.5735355 -0.8191807 0 -0.1742312 -0.9847047 0 0.216118 -0.9763672 0 -0.8191735 -0.5735457 0 -0.1742312 -0.9847047 0 -0.8191735 -0.5735457 0 0.694787 -0.1862032 -0.6946938 0.6955441 0.1864061 -0.6938812 0.6947931 0.1861574 -0.6946999 0.5082677 -0.5083563 -0.6951532 0.6955508 -0.186361 -0.6938866 0.1861406 -0.6947917 -0.6947059 0.5093058 -0.5092805 -0.6937154 -0.1862992 -0.695393 -0.6940614 0.186338 -0.6953877 -0.6940563 -0.5092211 -0.5093076 -0.6937577 -0.1861639 -0.6947379 -0.6947534 -0.6955441 -0.1864061 -0.6938812 -0.5083377 -0.508315 -0.6951321 -0.694787 0.1862032 -0.6946938 -0.6947931 -0.1861574 -0.6946999 -0.5082677 0.5083563 -0.6951532 -0.6955509 0.1863611 -0.6938865 -0.1861406 0.6947917 -0.6947059 -0.5093058 0.5092805 -0.6937154 0.1862992 0.695393 -0.6940614 -0.186338 0.6953877 -0.6940563 0.5092211 0.5093076 -0.6937577 0.1861639 0.6947379 -0.6947534 0.5083377 0.508315 -0.6951321 0 0 1 0 0 1 0 0.3829457 0.9237708 0 0.9237692 0.3829496 0 0.3829457 0.9237708 0 1 0 0 1 0 0 0.9237692 0.3829496 0 0 1 0 0 1 1 0 0 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2161212 0.9763665 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9763672 0.2161179 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9763672 0.2161179 0 0 0 1 0 1 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 -0.9763664 -0.2161219 0 -0.9763664 -0.2161219 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.8660176 0.5000135 -1 0 0 0 -0.8660176 -0.5000135 -1 0 0 0 -0.8660176 -0.5000135 0 0 1 0 -0.8660176 0.5000135 0 0.8660303 0.4999915 0 0 1 0 0.8660303 -0.4999915 0 0.8660303 0.4999915 0 0 -1 0 0.8660303 -0.4999915 0 0 -1 -1 0 0 0 -0.8660147 0.5000186 -1 0 0 0 -0.8660147 -0.5000186 -1 0 0 0 -0.8660147 -0.5000186 0 0 1 0 -0.8660147 0.5000186 0 0.8660333 0.4999864 0 0 1 0 0.8660333 -0.4999864 0 0.8660333 0.4999864 0 0 -1 0 0.8660333 -0.4999864 0 0 -1 0 -0.8660282 0.4999951 0 -0.8660354 -0.4999827 0 -0.8660354 -0.4999827 0 0 1 0 -0.8660282 0.4999951 -1 0 0 0 0.8660287 0.4999945 0 0 1 -1 0 0 0 0.8660357 -0.499982 -1 0 0 0 0.8660287 0.4999945 0 0 -1 0 0.8660357 -0.499982 0 0 -1 0 -0.8660287 0.4999945 0 -0.8660357 -0.499982 0 -0.8660357 -0.499982 0 0 1 0 -0.8660287 0.4999945 0 0.8660162 0.5000159 0 0 1 0 0.8660234 -0.5000035 0 0.8660162 0.5000159 0 0 -1 0 0.8660234 -0.5000035 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 -0.9239047 -0.3826224 0 0 0 1 -0.923907 0.3826169 2.0088e-4 0 0 1 -0.9237665 0.3829562 0 0 0 1 -0.3823211 -0.9240295 -6.68217e-5 -0.9237642 -0.3829618 2.00782e-4 0 0 1 0.3823267 -0.9240272 -1.33727e-4 0 0 1 -0.3824342 -0.9239827 -1.33726e-4 0 0 1 0.9239056 -0.3826204 2.00904e-4 0 0 1 0.3824399 -0.9239804 -6.67707e-5 0 0 1 0.9239079 0.3826149 0 0 0 1 0.9237651 -0.3829597 0 0 0 1 0.3823268 0.9240272 -6.68811e-5 0.9237673 0.3829541 2.00779e-4 0 0 1 -0.3823211 0.9240295 -1.33758e-4 0 0 1 0.3824399 0.9239804 -1.33745e-4 0 0 1 -0.3824342 0.9239827 -6.68376e-5 0.9238782 -0.3826866 0 0.9238767 0.3826904 0 0.9807819 0.1951071 0 0.8113707 0.5421388 0.2185483 0 0 1 0.3826779 -0.9238818 0 0.9570732 -0.1903882 0.2185482 0.8314728 -0.5555656 0 -0.3826816 -0.9238803 0 0.5421334 -0.8113715 0.2185583 0.1950863 -0.980786 0 -0.9238783 -0.3826865 0 -0.1903739 -0.9570744 0.2185548 -0.5555647 -0.8314734 0 -0.9238768 0.3826903 0 -0.9807826 -0.1951043 0 -0.8113725 -0.5421352 0.2185505 0 0 1 -0.3826815 0.9238803 0 -0.9570728 0.1903904 0.2185478 -0.8314706 0.5555688 0 0.3826777 0.9238819 0 -0.5421341 0.8113727 0.218552 -0.19509 0.9807853 0 0.1903696 0.9570749 0.2185571 0.5555648 0.8314732 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.957453 0.1904663 0.2168094 0.9086633 -0.1807581 0.3763741 0.8848734 0.2875099 0.3665202 -0.908663 0.1807602 0.376374 -0.9574543 -0.1904636 0.2168061 -0.8848739 -0.2875084 0.3665204 -0.7573765 0.5060609 0.4126538 -0.9117804 0.2962541 0.2844116 -0.53239 0.7967895 0.2858099 -0.1787393 0.8985849 0.4007465 -0.5550056 0.763898 0.329285 0.1787356 0.8985853 0.4007468 0 0.9603973 0.2786345 0.5227596 0.7823761 0.3385412 0.7573758 0.5060607 0.4126555 0.5604305 0.7713662 0.3015159 0.7573775 -0.5060573 0.4126566 0.9117815 -0.2962495 0.2844129 0.5323899 -0.796789 0.2858116 0.1787359 -0.8985856 0.4007461 0.5550044 -0.763899 0.3292847 -0.1787397 -0.898585 0.4007457 0 -0.9603976 0.2786335 -0.5227596 -0.7823764 0.3385406 -0.7573781 -0.5060577 0.4126548 -0.560431 -0.7713664 0.3015148 0 0 -1 0.864659 0.5023592 0 0 0 -1 0.7051706 0.7090378 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7051706 0.7090378 0 0 0 -1 0.9954902 0.09486502 0 0 0 -1 0.864659 0.5023592 0 0 0 -1 0.719568 -0.694422 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9954902 0.09486502 0 0.5208773 -0.8097345 -0.2702164 0.2386376 -0.8902593 0.3879312 0.1848629 -0.9827643 0 0.719568 -0.694422 0 0 0 -1 0.7999013 -0.5467255 -0.247486 0 0 -1 0 0 -1 0.6300605 -0.6300605 0.4539246 0 0 -1 0.8830858 -0.1788866 0.4337731 0 0 -1 0.9659088 0.2588827 0 0.9659005 -0.2589136 0 0 0 -1 0.7070281 0.7071853 2.72308e-4 0 0 -1 0 0 -1 0 0 -1 0.9659005 0.2589136 2.48516e-4 0 0 -1 0.2587694 0.9659389 7.52637e-4 0 0 -1 0 0 -1 0 0 -1 0.7071067 0.7071067 -5.9072e-4 0 0 -1 -0.2587695 0.9659391 -4.05724e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2589136 0.9659005 -4.05707e-4 0 0 -1 -0.707028 0.7071852 -5.90439e-4 0 0 -1 0 0 -1 0 0 -1 -0.2589135 0.9659003 7.52266e-4 0 0 -1 -0.9659087 0.2588827 2.48513e-4 0 0 -1 0 0 -1 0 0 -1 -0.7071067 0.7071067 2.72311e-4 -0.9992277 -0.03929704 0 -0.9659005 0.2589136 0 -0.9888385 -0.1171048 0.09211373 -0.9626619 0.2707069 0 -0.8875558 -0.2379129 0.3945151 -0.9256635 -0.3539273 -0.1337257 -0.9285022 -0.371327 0 -0.4205251 0.9072809 0 -0.9626619 0.2707069 0 0 0 -1 -0.002727448 0.9999963 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4205251 0.9072809 0 0 0 -1 0.2561847 0.9666278 0 0 0 -1 0 0 -1 -0.002727448 0.9999963 0 0.2561847 0.9666278 0 -0.8794478 -0.4759953 0 -0.6428091 -0.7660265 0 0 0 -1 -0.9671596 0.2541701 0 0 0 -1 -0.8794478 -0.4759953 0 0 0 -1 -0.8603721 0.5096665 0 0 0 -1 -0.9671596 0.2541701 0 -0.9435017 0.3313676 -4.75195e-5 -0.8604382 0.5095549 6.17371e-5 0 0 -1 -0.8164036 0.5774818 0 0 0 -1 -0.9435349 0.3312732 0 -0.2006648 0.9796599 0 0 0 -1 0 0 -1 -0.8164036 0.5774818 0 0.17366 0.9848056 0 0.17366 0.9848056 0 -0.2006648 0.9796599 0 0.5498371 0.8352719 0 0.9850041 0.1725314 0 0.5498371 0.8352719 0 0.9442743 -0.3291599 0 0.9850041 0.1725314 0 0.8591152 -0.5117822 -2.71155e-5 0.9442948 -0.3291007 3.74249e-5 0.5010403 -0.865424 0 0.8591384 -0.5117433 0 -0.2864127 -0.9581064 0 0.5010403 -0.865424 0 -0.6428091 -0.7660265 0 -0.2864127 -0.9581064 0 0.06961709 0.9975738 0 -0.1560935 0.9877423 -4.55118e-5 -0.1561557 0.9877324 0 0.7330362 0.6801896 0 0.06961709 0.9975738 0 0.9317963 0.3629814 0 0.9317963 0.3629814 0 0.7330362 0.6801896 0 0.9993459 -0.03616154 0 0.6588784 -0.7522495 0 0.9993459 -0.03616154 0 0.1586833 -0.9873295 0 0.6588784 -0.7522495 0 -0.1448937 -0.9894473 3.72861e-5 0.1586384 -0.9873368 -4.08231e-5 -0.6467776 -0.7626786 0 -0.1449348 -0.9894412 0 -0.9984065 -0.05643248 0 -0.6467776 -0.7626786 0 -0.9396921 0.3420217 0 -0.9396921 0.3420217 0 -0.9984065 -0.05643248 0 -0.7465863 0.6652887 0 -0.08510249 0.9963722 0 -0.7465863 0.6652887 0 0.1430609 0.989714 0 -0.08510249 0.9963722 0 0.1430038 0.9897221 4.16953e-5 -0.6785537 0.2812939 -0.6785563 -0.699371 -0.289928 -0.653316 -0.6947472 -0.1861432 -0.6947497 -0.2895069 0.6994621 -0.6534054 -0.4924314 0.4924638 -0.7176287 -0.7632028 0.2044789 -0.6129519 0.2809312 0.6787325 -0.6785277 -0.1861986 0.6948459 -0.6946362 0.6993737 0.2899232 -0.6533154 0.4924314 0.4924638 -0.7176287 0.2044487 0.762915 -0.6133201 0.6785542 -0.2812967 -0.6785547 0.6947488 0.1861385 -0.6947492 0.2895122 -0.6994641 -0.6534008 0.7632003 -0.2044839 -0.6129534 0.4924387 -0.4924604 -0.717626 -0.2809277 -0.6787346 -0.6785271 0.1861912 -0.6948482 -0.6946357 -0.4924387 -0.4924604 -0.717626 -0.2044267 -0.7629362 -0.613301 0.9659298 0.2588036 -3.97476e-4 0.9659089 0.2588822 0 0.9659298 -0.2588045 0 0.7071226 0.7070909 2.28058e-4 0.2588313 0.9659226 -2.47773e-4 0.2587733 0.965938 4.49144e-5 0.7070266 0.7071869 -4.34546e-4 -0.2588313 0.9659226 4.48598e-5 -0.2587733 0.965938 -2.4782e-4 -0.7071243 0.7070892 2.40058e-4 -0.7070266 0.7071869 -4.34728e-4 -0.9659298 0.2588045 0 -0.9659088 0.2588822 -3.93016e-4 -0.9659089 -0.2588822 0 -0.9659298 -0.2588036 -3.97476e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9659088 -0.2588822 -3.93016e-4 0 0 -1 0 0 -1 -0.7071226 -0.7070909 2.28058e-4 -0.2588313 -0.9659226 -2.47773e-4 -0.2587733 -0.965938 4.49144e-5 -0.7070266 -0.7071869 -4.34546e-4 0.2588313 -0.9659226 4.48598e-5 0.2587733 -0.965938 -2.4782e-4 0.7071243 -0.7070892 2.40058e-4 0.7070266 -0.7071869 -4.34728e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2563319 -0.9562693 0.1408644 0.1470469 -0.9821367 -0.1174089 -0.6992 -0.6992 0.1491259 -0.2933627 -0.9559854 0.005472898 -0.6772245 -0.7357578 -0.005229473 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 -0.8659814 0.5000762 0 0 0 -1 -0.8660006 -0.5000429 1.03749e-5 0 0 -1 -0.8660318 -0.499989 0 0 0 -1 0 1 1.99846e-4 -0.8660154 0.5000172 1.13385e-5 0 0 -1 0.8659814 0.5000762 1.13537e-5 0 0 -1 0 1 1.99846e-4 0 0 -1 0.8660006 -0.5000429 0 0 0 -1 0 0 -1 0.8660154 0.5000172 0 0 0 -1 0 -1 1.97905e-4 0.8660318 -0.499989 1.03618e-5 0 0 -1 0 -1 1.97905e-4 0 0 -1 -0.866003 0.5000387 0 0 0 -1 -0.8660216 -0.5000066 1.02842e-5 0 0 -1 0 0 -1 0 0 -1 -0.8660601 -0.4999398 0 0 0 -1 0 1 1.58946e-4 -0.8660416 0.4999721 1.02384e-5 0 0 -1 0.8659708 0.5000946 1.01291e-5 0 0 -1 0 1 1.58946e-4 0 0 -1 0.8659893 -0.5000625 0 0 0 -1 0 0 -1 0.8660088 0.5000289 0 0 0 -1 0 -1 1.59024e-4 0 0 -1 0.8660274 -0.4999966 1.01486e-5 0 0 -1 0 -1 1.59024e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4936525 0.2850235 -0.8216256 0.4936556 -0.2850038 -0.8216307 0 0.5700407 -0.8216165 -0.4936525 0.2850235 -0.8216256 -0.4936556 -0.2850038 -0.8216307 0 -0.5700117 -0.8216366 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2161208 0.9763666 0 -0.5735489 0.8191714 0 -0.5735489 0.8191714 0 0.1742444 0.9847025 0 -0.2161208 0.9763666 0 0.8191805 0.5735357 0 0.1742444 0.9847025 0 0.8191805 0.5735357 0 -0.9847017 0.1742485 0 -0.9847017 0.1742485 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0.4936804 0.2850484 -0.8216003 0.4936838 -0.2850259 -0.821606 0 0.5700812 -0.8215883 -0.4937078 0.2850211 -0.8215933 -0.4937112 -0.2849985 -0.8215991 0 -0.5700481 -0.8216113 -0.9657871 -0.2593364 0 -0.9657891 0.2593284 -4.89125e-4 -0.9659324 0.2587946 0 -0.7071096 -0.7071039 -1.42385e-4 -0.9659304 -0.2588013 -4.90575e-4 -0.2593231 -0.9657905 -4.63537e-4 -0.7070912 -0.7071223 -1.19367e-4 0.2593343 -0.9657877 0 -0.2588172 -0.9659264 0 0.7071089 -0.7071046 -1.19344e-4 0.2588284 -0.9659233 -4.63832e-4 0.9657873 -0.2593352 -4.8911e-4 0.7070912 -0.7071223 -1.41502e-4 0.9657896 0.2593272 0 0.9659305 -0.2588014 0 0.7071085 0.707105 -1.38401e-4 0.9659323 0.2587946 -4.88276e-4 0.2593377 0.9657866 -4.46755e-4 0.7070835 0.70713 -1.0707e-4 -0.2593265 0.9657897 0 0.25885 0.9659175 0 -0.7071092 0.7071043 -1.07063e-4 -0.2588388 0.9659205 -4.47046e-4 -0.7070835 0.70713 -1.39205e-4 -0.3797667 -0.1232216 0.916839 -0.3795531 0.1231533 0.9169366 -0.3797586 0.1233905 0.9168197 -0.235051 -0.3231701 0.9166854 -0.3794622 -0.1232928 0.9169555 0 -0.3994731 0.916745 -0.2346846 -0.3230154 0.9168338 0.2350502 -0.323172 0.9166849 0 -0.3994731 0.9167449 0.2346863 -0.3230183 0.9168323 0.3795546 -0.1231526 0.9169361 0.3797671 0.1232225 0.9168387 0.3797591 -0.1233885 0.9168196 0.2350513 0.3231704 0.9166852 0.3794625 0.1232936 0.9169552 0 0.3994733 0.9167448 0.2346846 0.3230156 0.9168337 -0.2350498 0.3231714 0.9166852 0 0.3994733 0.9167449 -0.234687 0.3230183 0.9168322 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 1 0 -0.4809835 0.8681694 0.1222159 -0.1812152 0.975883 0.1217112 -0.1614709 0.8695554 -0.466691 -0.1171418 0.9931152 0 0 0 -1 0.8588787 -0.5001291 -0.1104463 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6199807 -0.7774825 0.10557 0.5887852 -0.8082896 0 0 1 0 0 0 -1 0.9835235 -0.1766353 -0.0384922 0 0 -1 0.897409 -0.4321978 0.08866918 0 0 -1 0.9756405 0.05417788 0.2125802 0 0 -1 0.9166259 0.3931009 -0.0725851 0 0 -1 0 0 -1 0.9975697 0 0.0696758 0 0 -1 0.7282116 0.6849517 -0.02343046 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.899889 0.4333922 0.04869365 0 0 -1 0.529055 0.8025894 0.2755922 0 0 -1 0 0 -1 0.2309663 0.9726032 -0.02641391 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6232647 0.7816007 0.02533298 0 0 -1 -0.12415 0.9922635 0 0 0 -1 0.2225056 0.9749314 0 0 0 -1 -0.3645533 0.9305938 -0.03310823 0 0 -1 0 0 -1 -0.219442 0.961508 0.1653708 0 0 -1 -0.5821202 0.8116148 0.04916697 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7640225 0.6432586 -0.04987955 0 0 -1 -0.6164318 0.773032 0.1497776 0 0 -1 -0.8942028 0.4330396 0.1134818 0 0 -1 0 0 -1 -0.9783874 0.200504 -0.05055749 -0.8946174 0.4308535 0.118427 0 0 -1 0.7660424 0.6427901 0 -0.9890208 0 0.1477767 -0.9856034 -0.1272475 -0.1113283 -0.998974 -0.04528814 0 -0.98651 -0.1273645 0.102841 0.9668527 0.1838638 0.1771726 0.7660424 0.6427901 0 0.8360896 0.5485928 0 0.8311664 0.5453625 0.1083613 0.93927 0.2517093 -0.2332684 0 0 -1 0.9435453 -0.3070001 0.1243919 0 0 -1 0.9492182 -0.2543752 -0.1851432 0 0 -1 0.682968 -0.7275276 0.06525486 0 0 -1 0 0 -1 0.7011183 -0.7011183 -0.1298706 0 0 -1 0.2480441 -0.9661517 -0.07088851 0 0 -1 0 0 -1 -0.1382868 -0.9903922 0 0 0 -1 0.2588504 -0.9659174 0 -0.4037751 -0.9134942 0.04993909 0 0 -1 -0.236671 -0.8831537 -0.4050016 0 0 -1 -0.6380844 -0.767409 -0.06270259 0 0 -1 -0.8223587 -0.562255 0.08715176 0 0 -1 -0.6495922 -0.6495922 -0.3950442 0 0 -1 -0.9395702 -0.3137357 -0.1370322 0 0 -1 0 0 -1 -0.992768 -0.04454445 0.1114783 0 0 -1 -0.8954023 -0.2399535 -0.3750693 -0.9491451 0.2248343 -0.2203929 -0.8661043 0.4844854 0.1230333 -0.9069351 0.243044 -0.3440905 -0.6708871 0.6736465 -0.3100174 -0.67436 0.67436 -0.3007946 0.378046 0.6546396 -0.6546206 -0.3780616 0.6546654 -0.6545859 -0.3779818 0.6546581 -0.6546391 0.7559084 0 -0.6546775 0.3780131 0.6547108 -0.6545684 0.3780607 -0.654665 -0.6545867 0.7559084 0 -0.6546775 -0.3780467 -0.6546395 -0.6546205 0.3779824 -0.654658 -0.654639 -0.7559102 0 -0.6546754 -0.378013 -0.6547122 -0.6545672 -0.7559102 0 -0.6546754 -0.1955708 0.7302123 -0.6546313 -0.7302509 0.1955887 -0.6545828 -0.7301748 0.1956523 -0.6546487 0.5345058 0.5345058 -0.654681 -0.1956681 0.730248 -0.6545624 0.7302497 -0.1955808 -0.6545866 0.5345057 0.5345057 -0.654681 0.1955791 -0.7302151 -0.6546255 0.7301701 -0.1956472 -0.6546555 -0.5345064 -0.5345064 -0.6546798 0.1956722 -0.7302494 -0.6545596 -0.5345064 -0.5345065 -0.6546798 -0.6546396 0.378046 -0.6546206 -0.6546654 -0.3780616 -0.6545859 -0.6546581 -0.3779818 -0.6546391 0 0.7559084 -0.6546775 -0.6547108 0.3780131 -0.6545684 0.654665 0.3780607 -0.6545867 0 0.7559084 -0.6546775 0.6546395 -0.3780467 -0.6546205 0.654658 0.3779824 -0.654639 0 -0.7559102 -0.6546754 0.6547122 -0.378013 -0.6545672 0 -0.7559102 -0.6546754 -0.7302123 -0.1955708 -0.6546313 -0.1955887 -0.7302509 -0.6545828 -0.1956523 -0.7301748 -0.6546487 -0.5345058 0.5345058 -0.654681 -0.730248 -0.1956681 -0.6545624 0.1955808 0.7302497 -0.6545866 -0.5345057 0.5345057 -0.654681 0.7302151 0.1955791 -0.6546255 0.1956472 0.7301701 -0.6546555 0.5345064 -0.5345064 -0.6546798 0.7302494 0.1956722 -0.6545596 0.5345065 -0.5345064 -0.6546798 0 0 1 -0.2225056 -0.9749314 0 0 0 1 0.2221082 -0.9731904 0.05973494 0 0 1 0 0 1 0.1943586 -0.9803596 0.03346329 0.03639215 -0.9993375 0 0 0 1 -0.6208037 -0.7785145 0.0922923 0 0 1 0 0 1 0 0 1 0 0 1 -0.5789344 -0.8140639 -0.0462051 -0.2043042 -0.977356 0.05509114 0 0 1 -0.8939333 -0.430524 0.1246291 0 0 1 0 0 1 0 0 1 0 0 1 -0.8544573 -0.5127937 -0.08333915 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.6333583 -0.7715139 0.06019657 0.427218 -0.9038853 -0.02182626 0 0 1 -0.2588523 0.9659169 0 0 0 1 0.2588523 0.9659169 -4.57045e-5 0 0 1 0.2588427 0.9659195 0 -0.7071068 0.7071068 1.26013e-4 -0.2588427 0.9659195 -4.57025e-5 -0.9659169 0.2588523 -1.53931e-4 -0.7070895 0.7071241 1.31789e-5 -0.9659169 -0.2588523 1.08922e-4 -0.9659315 0.2587973 1.08923e-4 0 0 1 -0.7071068 -0.7071068 1.31708e-5 0 0 1 0 0 1 0 0 1 -0.9659315 -0.2587973 -1.53947e-4 0 0 1 -0.2588523 -0.9659169 -4.57045e-5 0 0 1 -0.7070896 -0.7071241 1.26005e-4 0 0 1 0.2588523 -0.9659169 0 0 0 1 -0.2588427 -0.9659195 0 0 0 1 0.7071068 -0.7071068 1.26013e-4 0 0 1 0 0 1 0.2588427 -0.9659195 -4.57078e-5 0.9659169 -0.2588523 -1.53931e-4 0 0 1 0 0 1 0.7070895 -0.7071241 1.31789e-5 0.9659169 0.2588523 1.08922e-4 0.9659315 -0.2587973 1.08923e-4 0 0 1 0.7071068 0.7071068 1.31708e-5 0 0 1 0 0 1 0.9659315 0.2587973 -1.53947e-4 0 0 1 0 0 1 0.7070896 0.7071241 1.26005e-4 -0.5002191 0.8658989 0 0.5002198 0.8658985 -1.3828e-4 0.5000154 0.8660165 0 -1 0 3.24818e-5 -0.5000147 0.866017 -1.38317e-4 -0.5002191 -0.8658989 -1.3828e-4 -1 0 3.24818e-5 0.5002198 -0.8658985 0 -0.5000147 -0.866017 0 1 0 3.24818e-5 0.5000154 -0.8660165 -1.38317e-4 1 0 3.24818e-5 -0.9659908 0.2585768 0 -0.2585769 0.9659907 -1.45917e-4 -0.2588176 0.9659263 0 -0.7071068 -0.7071068 2.29681e-5 -0.9659251 0.2588222 -1.48891e-4 0.2585768 -0.9659908 -1.48859e-4 -0.7071068 -0.7071068 2.29663e-5 0.9659907 -0.2585769 0 0.2588222 -0.9659251 0 0.7071068 0.7071068 2.51214e-5 0.9659263 -0.2588176 -1.45952e-4 0.7071067 0.7071067 2.50988e-5 -0.8658989 -0.5002191 0 -0.8658985 0.5002198 -1.3828e-4 -0.8660165 0.5000154 0 0 -1 3.24818e-5 -0.866017 -0.5000147 -1.38317e-4 0.8658989 -0.5002191 -1.3828e-4 0 -1 3.24818e-5 0.8658985 0.5002198 0 0.866017 -0.5000147 0 0 1 3.24818e-5 0.8660165 0.5000154 -1.38317e-4 0 1 3.24818e-5 -0.2585768 -0.9659908 0 -0.9659907 -0.2585769 -1.45917e-4 -0.9659263 -0.2588176 0 0.7071068 -0.7071068 2.29681e-5 -0.2588222 -0.9659251 -1.48891e-4 0.9659908 0.2585768 -1.48859e-4 0.7071068 -0.7071068 2.29663e-5 0.2585769 0.9659907 0 0.9659251 0.2588222 0 -0.7071068 0.7071068 2.51214e-5 0.2588176 0.9659263 -1.45952e-4 -0.7071067 0.7071067 2.50988e-5 -0.5002346 0.8658899 0 0.5002346 0.8658899 -5.10484e-5 0.4999946 0.8660286 0 -1 0 5.14742e-6 -0.4999946 0.8660286 -5.10661e-5 -0.5002307 -0.8658922 -4.57968e-5 -1 0 5.14742e-6 0.5002307 -0.8658922 0 -0.5000154 -0.8660165 0 1 0 5.14742e-6 0.5000154 -0.8660165 -4.58093e-5 1 0 5.14742e-6 0.2585769 0.9659907 0 0.9659907 0.2585769 -4.68138e-5 0.9659249 0.2588224 0 -0.7071063 0.7071072 7.22308e-6 0.2588224 0.9659249 -4.68239e-5 -0.9659907 -0.2585767 -4.58887e-5 -0.707109 0.7071046 7.90222e-6 -0.2585767 -0.9659907 0 -0.9659264 -0.2588173 0 0.7071072 -0.7071063 7.90032e-6 -0.2588173 -0.9659264 -4.58996e-5 0.7071046 -0.707109 7.22255e-6 0 0 -1 0 0 -1 0 0 -1 -0.05020034 -0.9982281 -0.03194665 0 0 -1 0 0 -1 0 0 -1 -0.2918477 -0.9564555 -0.004234075 0 0 -1 -0.2035031 -0.9735234 0.104109 0 0 -1 0 0 -1 0 0 -1 -0.5091243 -0.8455948 0.1605045 0 0 -1 -0.5795391 -0.8149142 0.00702244 0 0 -1 -0.7084162 -0.7049269 -0.03499418 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8574369 -0.5104351 0.06525331 0 0 -1 -0.8552718 -0.5132826 0.07107055 0 0 -1 0 0 -1 -0.957372 -0.2869011 -0.03356587 0 0 -1 0 0 -1 0.1409654 0.9900145 0 -0.2588504 0.9659174 0 0.236784 0.8835753 -0.4040147 0 0 1 0 0 1 0 0 1 0.1408677 0.9893281 -0.03723174 0.4113096 0.9104735 0.04315727 0.4108032 0.9093526 0.06571632 0.3711746 0.9234282 0.09751826 0.6494702 0.7599141 -0.02682191 0.6471486 0.7571977 -0.08860158 0.7668839 0.6316539 0.1135895 0.6523281 0.6523281 -0.3859226 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.3780515 0.6546307 -0.6546265 -0.3780723 0.6546669 -0.6545782 -0.3779609 0.6546568 -0.6546527 0.7559089 0 -0.6546768 0.3780044 0.6547322 -0.6545521 0.3780681 -0.6546584 -0.6545892 0.7559088 0 -0.6546769 -0.3780512 -0.6546291 -0.6546281 0.377978 -0.6546503 -0.6546493 -0.7559089 0 -0.6546768 -0.3780132 -0.6547111 -0.654568 -0.7559089 0 -0.6546769 0.7302163 0.1955822 -0.6546235 0.1955915 0.7302508 -0.654582 0.1956531 0.7301772 -0.6546459 0.5345064 -0.5345064 -0.6546798 0.7302494 0.1956723 -0.6545596 -0.195578 -0.7302498 -0.6545873 0.5345038 -0.534507 -0.6546818 -0.7302112 -0.1955677 -0.6546334 -0.1956464 -0.7301678 -0.6546583 -0.5345058 0.5345058 -0.654681 -0.730248 -0.1956679 -0.6545624 -0.5345085 0.5345053 -0.6546792 -1 0 0 0 -1 0 -1 0 0 0 0 -1 -1 0 0 0 0 -1 -1 0 0 0 0 1 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 1 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 0 1 0 -0.9123542 -0.1566688 -0.378239 -0.6785429 -0.678645 -0.281106 -0.904009 -0.4104014 -0.119743 -1 0 0 -0.6786226 0.2810716 -0.6785795 -0.6786214 -0.2810772 -0.6785784 -0.3505312 -0.3148763 -0.8820321 -0.6784966 0.6786845 -0.2811223 -0.6785521 0.2811074 -0.6786351 -0.6785297 0.6786588 0.2811045 -0.6785273 0.6786564 -0.2811163 -0.9122994 0.1567158 0.3783517 -0.9039911 0.4104366 0.1197583 -1 0 0 -0.6785412 -0.2811008 0.6786487 -0.6785416 0.2810994 0.678649 -0.3507137 0.3148785 0.8819589 -0.6785882 -0.6786089 0.2810838 -0.6785867 -0.2810777 0.6786129 -0.6785457 -0.6786478 0.2810922 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 2.55441e-5 -1 0 2.55441e-5 -1 0 -2.55441e-5 1 0 -1 0 0 1 0 0 -2.55441e-5 1 0 1 0 -1 0 0 -1 0 0 1 0 0 0.6786255 -0.6785621 -0.2811067 1 0 0 0.6785323 -0.2811237 -0.6786482 1 0 0 1 0 0 0.6785877 -0.2810891 -0.6786072 1 0 0 0.6787181 -0.6785011 0.2810304 1 0 0 0.6784893 -0.6786936 -0.2811179 0.6787148 -0.2810316 0.6785039 0.6787149 -0.6785034 0.2810323 1 0 0 0.6784811 0.2811576 0.6786855 1 0 0 0.6787179 -0.2810313 0.6785008 1 0 0 0.6785928 0.67859 0.281118 1 0 0 1 0 0 0.6786165 0.2810729 0.6785851 1 0 0 0.6787095 0.6785083 -0.2810336 1 0 0 0.6784793 0.6786996 0.2811274 0.6786359 0.2810437 -0.6785778 0.6786424 0.678558 -0.2810755 1 0 0 0.6787617 0.2810333 -0.6784562 0 0.7071068 0.7071068 0 0.9659278 -0.2588118 0 0.7071068 0.7071068 0 -0.2588118 0.9659278 0 -0.2588118 0.9659278 0 -0.9659274 0.2588129 0 -0.9659274 0.2588129 0 -0.7071067 -0.7071067 0 -0.7071067 -0.7071067 0 0.2588129 -0.9659274 0 0.2588129 -0.9659274 0 0.9659278 -0.2588118 0 -0.3826844 -0.9238792 0 -0.3826844 -0.9238792 0 -0.9238825 -0.3826762 0 0.3826922 -0.9238759 0 0.3826922 -0.9238759 0 0.9238759 -0.3826922 0 0.9238759 -0.3826922 0 0.9238792 0.3826844 0 0.9238792 0.3826844 0 0.3826762 0.9238825 0 0.3826762 0.9238825 -0.357387 0.8628629 0.3574106 0 -0.9238825 -0.3826762 -0.357544 -0.8628105 -0.3573799 0 -0.9238858 0.3826684 0 -0.9238858 0.3826684 0 -0.3826684 0.9238858 0 -0.3826684 0.9238858 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -1 0 -1 0 0 0 0 -1 -1 0 0 0 0 -1 -1 0 0 0 0 1 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 1 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 0 1 0 -0.9123542 -0.1566688 -0.378239 -0.6785278 -0.6786569 -0.2811136 -0.904009 -0.4104014 -0.119743 -1 0 0 -0.6786223 0.2810729 -0.6785793 -0.6786204 -0.2810825 -0.6785774 -0.3504469 -0.3148845 -0.8820627 -0.6786076 0.6785886 -0.2810859 -0.6785964 0.281086 -0.6785997 -0.6785262 0.6786606 0.2811085 -0.6785275 0.678662 -0.2811018 -0.9122995 0.1567163 0.3783512 -0.9039915 0.4104354 0.1197593 -1 0 0 -0.6785412 -0.2811008 0.6786487 -0.6785427 0.2810932 0.6786503 -0.3508322 0.3148683 0.8819153 -0.6785103 -0.6786744 0.2811136 -0.6785553 -0.2810937 0.6786376 -0.6785285 -0.6786577 0.28111 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 2.55441e-5 0 2.5544e-5 -1 0 2.5544e-5 -1 0 -2.55447e-5 1 0 -1 2.55441e-5 0 1 0 0 -2.55447e-5 1 0 1 0 -1 0 0 -1 0 0 1 0 0 0.6785795 -0.6786013 -0.281123 1 0 0 0.6785323 -0.2811237 -0.6786482 1 0 0 1 0 0 0.6785696 -0.2811003 -0.6786205 1 0 0 0.6787181 -0.6785011 0.2810304 1 0 0 0.6784866 -0.678691 -0.2811306 0.678696 -0.2810392 0.6785196 0.6786716 -0.6785356 0.2810594 1 0 0 0.6784847 0.2811552 0.6786827 1 0 0 0.6787132 -0.2810378 0.6785028 1 0 0 0.6786468 0.678545 0.2810965 1 0 0 1 0 0 0.6786378 0.2810596 0.6785692 1 0 0 0.6787168 0.6785029 -0.2810291 1 0 0 0.6784893 0.678697 0.2811095 0.6786592 0.2810357 -0.6785578 0.6786954 0.6785187 -0.2810423 1 0 0 0.678763 0.2810271 -0.6784575 0 0.7071036 0.70711 0 0.9659262 -0.2588179 0 0.7071036 0.70711 0 -0.2588135 0.9659273 0 -0.2588135 0.9659273 0 -0.9659262 0.2588179 0 -0.9659262 0.2588179 0 -0.7071042 -0.7071095 0 -0.7071042 -0.7071095 0 0.2588145 -0.9659271 0 0.2588145 -0.9659271 0 0.9659262 -0.2588179 0 -0.382691 -0.9238764 0 -0.382691 -0.9238764 0 -0.9238759 -0.3826922 0 0.3826844 -0.9238792 0 0.3826844 -0.9238792 0 0.923884 -0.3826726 0 0.923884 -0.3826726 0 0.9238873 0.3826648 0 0.9238873 0.3826648 0 0.3826684 0.9238858 0 0.3826684 0.9238858 -0.3577048 0.862758 0.3573457 0 -0.9238759 -0.3826922 -0.3573184 -0.8628841 -0.3574279 0 -0.9238792 0.3826844 0 -0.9238792 0.3826844 0 -0.382675 0.923883 0 -0.382675 0.923883 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 1 0 0 0 -1 0 1 0 0 0 -1 0 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 0 -1 1 0 0 0 -2.10735e-5 1 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 -2.10735e-5 1 0.912576 -0.3777805 -0.1564837 0.6785944 -0.2810906 -0.6785998 0.904262 -0.1194747 -0.4099221 1 0 0 0.6786168 -0.6785845 0.2810735 0.6786142 -0.678582 -0.2810856 0.3503037 -0.8821184 -0.3148882 0.6785857 -0.2810936 0.6786072 0.678588 -0.6786071 0.281088 0.6785929 0.2810848 0.6786037 0.6785914 -0.2810925 0.6786021 0.9124944 0.3779503 0.156549 0.9041847 0.1195549 0.4100691 1 0 0 0.6784991 0.6786819 -0.2811226 0.6785029 0.6786857 0.2811042 0.3506302 0.8819931 0.3148754 0.6785777 0.2810903 -0.6786168 0.6785645 0.6786303 -0.2810893 0.6785953 0.2810868 -0.6786006 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0 0 -1 0 0 1 0 1 0 0 0 1 1 0 0 1 0 0 -1 0 0 -0.6785631 -0.2810776 -0.6786367 -0.6786599 -0.6785525 -0.2810464 -0.6785749 -0.6786156 -0.2810996 -1 0 0 -0.6786606 0.2810435 -0.6785532 -1 0 0 -1 0 0 -1 0 0 -0.6786552 -0.2810699 -0.6785476 -1 0 0 -0.6786141 0.6785917 -0.2810627 -1 0 0 -0.678586 0.28109 -0.6786085 -1 0 0 -0.6786499 0.6785614 0.2810496 -1 0 0 -0.6786476 0.6785592 -0.2810599 -0.6786468 0.2810661 0.6785576 -0.67864 0.6785688 0.2810558 -1 0 0 -0.6786567 -0.2810621 0.6785493 -1 0 0 -1 0 0 -0.6786561 0.2810653 0.6785486 -1 0 0 -0.678595 -0.6786081 0.2810689 -1 0 0 -0.6786299 -0.2810788 0.6785691 -0.6786563 -0.6785489 0.2810639 0 0.7071089 0.7071046 0 -0.2588179 0.9659262 0 0.7071089 0.7071046 0 0.9659269 -0.2588152 0 0.9659269 -0.2588152 0 0.2588184 -0.965926 0 0.2588184 -0.965926 0 -0.7071089 -0.7071046 0 -0.7071089 -0.7071046 0 -0.9659274 0.2588132 0 -0.9659274 0.2588132 0 -0.2588179 0.9659262 0 -0.9238758 -0.3826925 0 -0.9238758 -0.3826925 0 -0.3826907 -0.9238764 0 -0.9238797 0.3826832 0 -0.9238797 0.3826832 0 -0.3826907 0.9238764 0 -0.3826907 0.9238764 0 0.3826848 0.9238789 0 0.3826848 0.9238789 0 0.9238875 0.3826642 0 0.9238875 0.3826642 0.357495 0.3573951 0.8628244 0 -0.3826907 -0.9238764 0.3571435 -0.3574522 -0.8629464 0 0.3826848 -0.9238789 0 0.3826848 -0.9238789 0 0.9238836 -0.3826735 0 0.9238836 -0.3826735 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0 -1 1 0 0 0 -1 0 1 0 0 0 -1 0 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 0 -1 1 0 0 0 -2.10735e-5 1 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 -2.10735e-5 1 0.9125165 -0.3779059 -0.1565271 0.6785957 -0.2810847 -0.678601 0.9042434 -0.1194924 -0.409958 1 0 0 0.6786023 -0.6786023 0.2810655 0.6785969 -0.6785969 -0.2810918 0.3503046 -0.8821167 -0.3148917 0.6785436 -0.281103 0.6786453 0.6784894 -0.6786914 0.2811229 0.6785929 0.2810848 0.6786037 0.6785911 -0.2810937 0.6786018 0.9124945 0.3779495 0.15655 0.9041847 0.1195549 0.4100691 1 0 0 0.6785044 0.6786766 -0.2811226 0.6785086 0.6786808 0.2811022 0.3506825 0.8819733 0.3148728 0.6785848 0.2810877 -0.6786106 0.6785819 0.6786154 -0.2810832 0.6785955 0.2810856 -0.6786009 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0 0 -1 0 0 1 0 1 0 0 0 1 1 0 0 1 0 0 -1 0 0 -0.6785588 -0.2810791 -0.6786403 -0.6786498 -0.6785613 -0.28105 -0.6785646 -0.6786243 -0.2811032 -1 0 0 -0.6786607 0.281043 -0.6785533 -1 0 0 -1 0 0 -1 0 0 -0.6786549 -0.2810711 -0.6785475 -1 0 0 -0.6786206 0.6785865 -0.2810593 -1 0 0 -0.6785886 0.2810881 -0.6786068 -1 0 0 -0.6786603 0.6785528 0.2810449 -1 0 0 -0.6786578 0.6785505 -0.2810562 -0.6786496 0.2810647 0.6785554 -0.6786468 0.6785629 0.2810534 -1 0 0 -0.6786567 -0.2810621 0.6785493 -1 0 0 -1 0 0 -0.6786563 0.2810641 0.6785489 -1 0 0 -0.6785848 -0.6786169 0.2810726 -1 0 0 -0.678626 -0.2810813 0.6785721 -0.6786462 -0.6785577 0.2810676 0 0.7071068 0.7071068 0 -0.2588189 0.9659259 0 0.7071068 0.7071068 0 0.9659258 -0.2588192 0 0.9659258 -0.2588192 0 0.2588189 -0.9659259 0 0.2588189 -0.9659259 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 -0.9659258 0.2588192 0 -0.9659258 0.2588192 0 -0.2588189 0.9659259 0 -0.9238758 -0.3826925 0 -0.9238758 -0.3826925 0 -0.3826923 -0.9238759 0 -0.9238797 0.3826832 0 -0.9238797 0.3826832 0 -0.3826923 0.9238759 0 -0.3826923 0.9238759 0 0.3826834 0.9238796 0 0.3826834 0.9238796 0 0.9238875 0.3826642 0 0.9238875 0.3826642 0.3575158 0.3573908 0.8628177 0 -0.3826923 -0.9238759 0.3571437 -0.3574535 -0.8629458 0 0.3826834 -0.9238796 0 0.3826834 -0.9238796 0 0.9238836 -0.3826735 0 0.9238836 -0.3826735 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 2.10739e-5 -1 0 0 0 0 -1 -1 0 0 0 0 -1 -1 0 0 0 -2.10735e-5 1 -1 0 0 -1 0 0 0 -1 2.10739e-5 -1 0 0 0 1 -2.10735e-5 -1 0 0 0 -2.10735e-5 1 -1 0 0 -1 0 0 0 1 -2.10735e-5 -0.9123544 -0.1566701 -0.3782378 -0.6785275 -0.6786566 -0.2811149 -0.9040091 -0.4104011 -0.1197434 -1 0 0 -0.6786188 0.2810769 -0.6785811 -0.6786174 -0.2810835 -0.6785798 -0.3504912 -0.3148838 -0.8820454 -0.6786138 0.6785828 -0.2810848 -0.678611 0.2810809 -0.6785873 -0.6785262 0.6786607 0.2811083 -0.6785275 0.678662 -0.281102 -0.9122997 0.1567174 0.3783503 -0.9039913 0.4104357 0.1197593 -1 0 0 -0.6786161 -0.2810767 0.6785838 -0.6786155 0.2810792 0.6785833 -0.3508674 0.3148679 0.8819016 -0.678515 -0.6786704 0.2811117 -0.6785696 -0.2811004 0.6786206 -0.6785287 -0.6786578 0.281109 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 0 -1 0 0 -1 0 0 1 0 -1 0 0 1 0 0 0 1 0 1 0 -1 0 0 -1 0 0 1 0 0 0.678568 -0.6786313 -0.2810785 0.6786607 -0.281043 -0.6785533 0.6785679 -0.2811009 -0.678622 1 0 0 0.6786602 -0.6785528 0.2810454 1 0 0 1 0 0 1 0 0 0.6786549 -0.6785474 -0.2810713 1 0 0 0.6786277 -0.2810724 0.6785742 1 0 0 0.6785971 -0.6785996 0.2810849 1 0 0 0.6786567 0.2810621 0.6785493 1 0 0 0.6786551 -0.2810702 0.6785476 0.6786386 0.6785724 0.2810501 0.6786473 0.281068 0.6785563 1 0 0 0.6786608 0.6785533 -0.2810427 1 0 0 1 0 0 0.6786596 0.6785522 0.2810484 1 0 0 0.6785813 0.281071 -0.6786209 1 0 0 0.678616 0.6785865 -0.2810707 0.6786562 0.2810649 -0.6785488 0 0.7071068 0.7071068 0 0.9659258 -0.2588192 0 0.7071068 0.7071068 0 -0.2588195 0.9659258 0 -0.2588195 0.9659258 0 -0.9659258 0.2588192 0 -0.9659258 0.2588192 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 0.2588195 -0.9659258 0 0.2588195 -0.9659258 0 0.9659258 -0.2588192 0 -0.382691 -0.9238764 0 -0.382691 -0.9238764 0 -0.9238758 -0.3826925 0 0.3826844 -0.9238792 0 0.3826844 -0.9238792 0 0.9238839 -0.3826729 0 0.9238839 -0.3826729 0 0.9238879 0.3826636 0 0.9238879 0.3826636 0 0.3826844 0.9238792 0 0.3826844 0.9238792 -0.3577187 0.8627536 0.3573426 0 -0.9238758 -0.3826925 -0.3573358 -0.8628777 -0.3574256 0 -0.9238797 0.3826832 0 -0.9238797 0.3826832 0 -0.382691 0.9238764 0 -0.382691 0.9238764 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -1 2.10739e-5 -1 0 0 0 0 -1 -1 0 0 0 0 -1 -1 0 0 0 -2.10735e-5 1 -1 0 0 -1 0 0 0 -1 2.10739e-5 -1 0 0 0 1 -2.10735e-5 -1 0 0 0 -2.10735e-5 1 -1 0 0 -1 0 0 0 1 -2.10735e-5 -0.9123544 -0.1566701 -0.3782378 -0.6785426 -0.6786448 -0.2811073 -0.9040091 -0.4104011 -0.1197434 -1 0 0 -0.6786191 0.2810757 -0.6785814 -0.6786185 -0.2810782 -0.6785809 -0.3505755 -0.3148756 -0.8820148 -0.6785029 0.6786787 -0.2811213 -0.6785666 0.2811023 -0.6786227 -0.6785297 0.6786589 0.2811042 -0.6785272 0.6786563 -0.2811165 -0.9122995 0.1567169 0.3783507 -0.9039909 0.4104367 0.1197581 -1 0 0 -0.6786161 -0.2810767 0.6785838 -0.6786142 0.2810855 0.678582 -0.3507488 0.3148781 0.881945 -0.6785929 -0.678605 0.2810819 -0.6786009 -0.2810845 0.6785959 -0.6785459 -0.6786481 0.2810912 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 0 -1 0 0 -1 0 0 1 0 -1 0 0 1 0 0 0 1 0 1 0 -1 0 0 -1 0 0 1 0 0 0.678614 -0.678592 -0.2810622 0.6786607 -0.281043 -0.6785533 0.678586 -0.2810897 -0.6786087 1 0 0 0.6786602 -0.6785528 0.2810454 1 0 0 1 0 0 1 0 0 0.6786574 -0.6785501 -0.2810586 1 0 0 0.6786466 -0.2810657 0.6785578 1 0 0 0.6786404 -0.6785674 0.2810578 1 0 0 0.6786567 0.2810621 0.6785493 1 0 0 0.6786562 -0.2810649 0.6785488 0.6785848 0.6786172 0.2810721 0.678626 0.2810813 0.6785721 1 0 0 0.6786516 0.67856 -0.2810489 1 0 0 1 0 0 0.6786478 0.6785562 0.2810669 1 0 0 0.6785588 0.2810791 -0.6786403 1 0 0 0.6785646 0.6786243 -0.2811032 0.6786549 0.2810711 -0.6785474 0 0.70711 0.7071036 0 0.9659274 -0.2588132 0 0.70711 0.7071036 0 -0.2588179 0.9659262 0 -0.2588179 0.9659262 0 -0.9659271 0.2588142 0 -0.9659271 0.2588142 0 -0.7071095 -0.7071042 0 -0.7071095 -0.7071042 0 0.2588179 -0.9659262 0 0.2588179 -0.9659262 0 0.9659274 -0.2588132 0 -0.3826844 -0.9238792 0 -0.3826844 -0.9238792 0 -0.9238824 -0.3826764 0 0.3826922 -0.9238759 0 0.3826922 -0.9238759 0 0.9238758 -0.3826925 0 0.9238758 -0.3826925 0 0.9238797 0.3826832 0 0.9238797 0.3826832 0 0.3826922 0.9238759 0 0.3826922 0.9238759 -0.3574007 0.8628585 0.3574073 0 -0.9238824 -0.3826764 -0.3575615 -0.8628042 -0.3573775 0 -0.9238864 0.3826671 0 -0.9238864 0.3826671 0 -0.3826844 0.9238792 0 -0.3826844 0.9238792 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 1 0 0 0 -1 0 1 0 0 0 -1 0 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 0 -1 1 0 0 0 -2.1732e-5 1 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 -2.1732e-5 1 0.9125758 -0.3777809 -0.1564831 0.678598 -0.2810865 -0.678598 0.9042617 -0.1194736 -0.4099231 1 0 0 0.6786167 -0.6785845 0.2810736 0.6786143 -0.678582 -0.2810854 0.350288 -0.8821246 -0.3148884 0.6785737 -0.2810956 0.6786186 0.6785835 -0.6786108 0.2810906 0.678518 0.281109 0.6786686 0.6785185 -0.2811065 0.6786691 0.9124944 0.3779502 0.1565492 0.904183 0.1195479 0.4100748 1 0 0 0.6784993 0.6786822 -0.2811214 0.6785026 0.6786855 0.2811052 0.3506173 0.8819978 0.3148769 0.6785625 0.2810928 -0.6786308 0.6785584 0.6786355 -0.2810912 0.6785982 0.2810858 -0.6785982 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0 0 -1 0 0 1 0 1 0 0 0 1 1 0 0 1 0 0 -1 0 0 -0.6785653 -0.2810792 -0.6786337 -0.6786599 -0.6785525 -0.2810464 -0.6785755 -0.6786151 -0.2810992 -1 0 0 -0.6786532 0.2810485 -0.6785584 -1 0 0 -1 0 0 -1 0 0 -0.6786484 -0.2810723 -0.6785534 -1 0 0 -0.6786148 0.6785911 -0.2810624 -1 0 0 -0.6785877 0.2810894 -0.6786071 -1 0 0 -0.6786498 0.6785613 0.2810498 -1 0 0 -0.6786478 0.6785593 -0.2810597 -0.6786366 0.2810544 0.6785726 -0.6786374 0.6785706 0.2810576 -1 0 0 -0.6786602 -0.2810457 0.6785528 -1 0 0 -1 0 0 -0.6786587 0.2810526 0.6785513 -1 0 0 -0.6785922 -0.6786104 0.2810701 -1 0 0 -0.6786205 -0.2810704 0.6785821 -0.6786561 -0.6785488 0.2810649 0 0.7071057 0.7071079 0 -0.2588118 0.9659278 0 0.7071057 0.7071079 0 0.9659271 -0.2588138 0 0.9659271 -0.2588138 0 0.2588134 -0.9659274 0 0.2588134 -0.9659274 0 -0.7071063 -0.7071073 0 -0.7071063 -0.7071073 0 -0.9659278 0.2588118 0 -0.9659278 0.2588118 0 -0.2588118 0.9659278 0 -0.9238759 -0.3826923 0 -0.9238759 -0.3826923 0 -0.3826907 -0.9238764 0 -0.9238791 0.3826844 0 -0.9238791 0.3826844 0 -0.3826748 0.9238831 0 -0.3826748 0.9238831 0 0.3826689 0.9238855 0 0.3826689 0.9238855 0 0.923887 0.3826653 0 0.923887 0.3826653 0.357459 0.3573855 0.8628433 0 -0.3826907 -0.9238764 0.3571013 -0.3574583 -0.8629613 0 0.3826848 -0.9238789 0 0.3826848 -0.9238789 0 0.9238837 -0.3826733 0 0.9238837 -0.3826733 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0 -1 1 0 0 0 -1 0 1 0 0 0 -1 0 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 0 -1 1 0 0 0 -2.1732e-5 1 1 0 0 0 1 -2.10735e-5 1 0 0 1 0 0 0 -2.1732e-5 1 0.9125164 -0.3779063 -0.1565265 0.6785992 -0.2810807 -0.6785992 0.9042431 -0.1194913 -0.409959 1 0 0 0.6786022 -0.6786022 0.2810657 0.6785969 -0.6785969 -0.2810916 0.3502888 -0.8821229 -0.3148919 0.6785315 -0.2811051 0.6786567 0.6784849 -0.678695 0.2811255 0.678518 0.281109 0.6786686 0.6785183 -0.2811077 0.6786689 0.9124946 0.3779495 0.1565501 0.904183 0.1195479 0.4100748 1 0 0 0.6785047 0.6786768 -0.2811213 0.6785085 0.6786805 0.2811031 0.35067 0.8819777 0.3148742 0.6785697 0.2810903 -0.6786246 0.6785759 0.6786207 -0.2810851 0.6785984 0.2810846 -0.6785984 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0 0 -1 0 0 1 0 1 0 0 0 1 1 0 0 1 0 0 -1 0 0 -0.678561 -0.2810807 -0.6786373 -0.6786498 -0.6785613 -0.28105 -0.6785653 -0.6786238 -0.2811028 -1 0 0 -0.6786533 0.2810481 -0.6785585 -1 0 0 -1 0 0 -1 0 0 -0.6786481 -0.2810736 -0.6785533 -1 0 0 -0.6786213 0.6785859 -0.2810591 -1 0 0 -0.6785903 0.2810875 -0.6786053 -1 0 0 -0.6786602 0.6785528 0.2810451 -1 0 0 -0.678658 0.6785506 -0.2810561 -0.6786392 0.281053 0.6785705 -0.6786442 0.6785648 0.2810552 -1 0 0 -0.6786602 -0.2810457 0.6785528 -1 0 0 -1 0 0 -0.678659 0.2810514 0.6785515 -1 0 0 -0.678582 -0.6786191 0.2810738 -1 0 0 -0.6786165 -0.2810729 0.6785851 -0.6786459 -0.6785575 0.2810685 0 0.7071036 0.70711 0 -0.2588129 0.9659275 0 0.7071036 0.70711 0 0.9659262 -0.2588179 0 0.9659262 -0.2588179 0 0.2588139 -0.9659272 0 0.2588139 -0.9659272 0 -0.7071042 -0.7071095 0 -0.7071042 -0.7071095 0 -0.9659262 0.2588179 0 -0.9659262 0.2588179 0 -0.2588129 0.9659275 0 -0.9238759 -0.3826923 0 -0.9238759 -0.3826923 0 -0.3826923 -0.9238759 0 -0.9238791 0.3826844 0 -0.9238791 0.3826844 0 -0.3826763 0.9238826 0 -0.3826763 0.9238826 0 0.3826674 0.9238861 0 0.3826674 0.9238861 0 0.923887 0.3826653 0 0.923887 0.3826653 0.3574798 0.3573811 0.8628366 0 -0.3826923 -0.9238759 0.3571015 -0.3574597 -0.8629607 0 0.3826834 -0.9238796 0 0.3826834 -0.9238796 0 0.9238837 -0.3826733 0 0.9238837 -0.3826733 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -0.7070919 0.7071216 0 0 0 -1 -0.7071007 -0.7071129 0 0 0 -1 -0.7071007 -0.7071129 0 0 0 -1 0.7070919 0.7071216 0 0 0 -1 0 0 -1 -0.7070919 0.7071216 0 0 0 -1 0.7071007 -0.7071129 0 0 0 -1 0.7070919 0.7071216 0 0 0 -1 0 0 -1 0.7071007 -0.7071129 0 -0.3779381 -0.1565461 -0.9124999 -0.6785738 0.2810787 -0.6786254 -0.3744952 0.2054224 -0.9041875 0 0 -1 -0.2810837 -0.6785908 -0.6786063 -0.6785768 -0.2810642 -0.6786284 -0.8463839 -0.4010657 -0.3504007 0.2810876 -0.6786004 -0.678595 -0.2810857 -0.6786008 -0.6785954 0.6785696 -0.2810752 -0.678631 0.281082 -0.6785918 -0.6786059 0.377966 0.1565634 -0.9124854 0.3745234 -0.2054275 -0.9041747 0 0 -1 0.2810864 0.6786047 -0.6785912 0.6785784 0.2810716 -0.6786237 0.8463811 0.4010729 -0.3503994 -0.2810838 0.6785985 -0.6785985 0.281085 0.6785983 -0.6785983 -0.2810874 0.6786041 -0.6785914 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071014 0.7071121 0 -0.707112 -0.7071016 0 -0.707112 -0.7071016 0 0.7071014 0.7071121 0 -0.7071014 0.7071121 0 0.707112 -0.7071016 0 0.7071014 0.7071121 0 0.707112 -0.7071016 0 0 0 -1 0 0 -1 0 0 1 -0.6785985 0.2810995 0.6785922 -0.6785472 -0.2810705 0.6786553 -0.6786035 -0.2810753 0.6785972 0 0 1 -0.281082 0.6785487 0.6786491 0 0 1 0 0 1 0 0 1 -0.6785527 0.2810609 0.6786538 0 0 1 0.2811026 0.6785985 0.6785907 0 0 1 -0.2810865 0.6786019 0.6785941 0 0 1 0.6785402 0.28108 0.6786584 0 0 1 0.2810682 0.6785578 0.6786457 0.6786107 -0.2811014 0.6785791 0.6786138 0.2810863 0.6785823 0 0 1 0.2810835 -0.6785496 0.6786476 0 0 1 0 0 1 0.6785569 -0.281056 0.6786518 0 0 1 -0.2811058 -0.6786034 0.6785845 0 0 1 0.2810884 -0.6786071 0.6785881 -0.2810686 -0.6785594 0.678644 1 0 0 0.5000121 -0.8660184 0 1 0 0 0.4999903 0.8660309 0 0.4999903 0.8660309 0 -0.4999903 0.8660309 0 -0.4999903 0.8660309 0 -1 0 0 -1 0 0 -0.5000121 -0.8660184 0 -0.5000121 -0.8660184 0 0.5000121 -0.8660184 0 -0.923885 -0.3826701 0 -0.923885 -0.3826701 0 -0.9238818 0.3826779 0 -0.3826836 -0.9238795 0 -0.3826836 -0.9238795 0 0.3826836 -0.9238795 0 0.3826836 -0.9238795 0 0.923885 -0.3826701 0 0.923885 -0.3826701 0 0.9238818 0.3826779 0 0.9238818 0.3826779 0 0.8629183 -0.3574179 -0.3572457 -0.9238818 0.3826779 0 -0.8629156 0.3574253 -0.3572446 -0.3826839 0.9238793 0 -0.3826839 0.9238793 0 0.3826839 0.9238793 0 0.3826839 0.9238793 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 -0.7071095 0.707104 0 0 0 -1 -0.7071198 -0.7070937 0 0 0 -1 -0.7071198 -0.7070937 0 0 0 -1 0.7070726 0.707141 0 0 0 -1 0 0 -1 -0.7071095 0.707104 0 0 0 -1 0.7070829 -0.7071306 0 0 0 -1 0.7070726 0.707141 0 0 0 -1 0 0 -1 0.7070829 -0.7071306 0 -0.3777697 -0.1564612 -0.9125841 -0.6785841 0.281057 -0.678624 -0.3743281 0.2053631 -0.9042701 0 0 -1 -0.2810828 -0.6785961 -0.6786014 -0.6785785 -0.2810646 -0.6786265 -0.8463844 -0.4010648 -0.3504005 0.2810732 -0.6786034 -0.6785981 -0.2810839 -0.6786012 -0.6785958 0.6787124 -0.2811293 -0.6784657 0.2811058 -0.6786541 -0.6785339 0.3781355 0.1566314 -0.9124035 0.3746909 -0.2054864 -0.9040918 0 0 -1 0.2810987 0.6786603 -0.6785306 0.6787142 0.2811275 -0.6784647 0.8463938 0.4010413 -0.3504047 -0.2810857 0.6785985 -0.6785978 0.2810853 0.6785985 -0.6785979 -0.2810845 0.6785966 -0.6786002 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071228 0.7070907 0 -0.7071354 -0.7070782 0 -0.7071354 -0.7070782 0 0.7071005 0.7071131 0 -0.7071228 0.7070907 0 0.7071131 -0.7071005 0 0.7071005 0.7071131 0 0.7071131 -0.7071005 0 0 0 -1 0 0 -1 0 0 1 -0.6785277 0.2810746 0.678673 -0.6784622 -0.2810399 0.678753 -0.6785336 -0.281046 0.6786791 0 0 1 -0.2810783 0.6785073 0.6786921 0 0 1 0 0 1 0 0 1 -0.6784712 0.2810269 0.6787495 0 0 1 0.2811024 0.6785976 0.6785918 0 0 1 -0.2810863 0.6786009 0.678595 0 0 1 0.6785401 0.2810797 0.6786587 0 0 1 0.281068 0.6785569 0.6786466 0.6786106 -0.2811014 0.678579 0.6786139 0.281086 0.6785823 0 0 1 0.2810818 -0.678547 0.6786509 0 0 1 0 0 1 0.6785558 -0.2810552 0.6786531 0 0 1 -0.2811182 -0.6786024 0.6785804 0 0 1 0.2810871 -0.6786089 0.6785868 -0.2810518 -0.6785238 0.6786866 1 0 0 0.500014 -0.8660174 0 1 0 0 0.4999879 0.8660324 0 0.4999879 0.8660324 0 -0.4999879 0.8660324 0 -0.4999879 0.8660324 0 -1 0 0 -1 0 0 -0.500014 -0.8660174 0 -0.500014 -0.8660174 0 0.500014 -0.8660174 0 -0.9238852 -0.3826697 0 -0.9238852 -0.3826697 0 -0.923882 0.3826776 0 -0.3826812 -0.9238804 0 -0.3826812 -0.9238804 0 0.3826812 -0.9238804 0 0.3826812 -0.9238804 0 0.9238852 -0.3826697 0 0.9238852 -0.3826697 0 0.923882 0.3826776 0 0.923882 0.3826776 0 0.8629184 -0.3574175 -0.3572458 -0.923882 0.3826776 0 -0.8629157 0.357425 -0.3572446 -0.3826841 0.9238792 0 -0.3826841 0.9238792 0 0.3826841 0.9238792 0 0.3826841 0.9238792 0 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0.9807878 0.1950775 1 0 0 0 0.9807878 -0.1950775 1 0 0 1 0 0 0 0.9807878 -0.1950775 1 0 0 0 0.8314773 0.5555589 1 0 0 0 0.9807878 0.1950775 1 0 0 0 0.5555541 0.8314805 1 0 0 0 0.8314773 0.5555589 1 0 0 0 0.1950777 0.9807878 1 0 0 0 0.5555541 0.8314805 1 0 0 0 -0.1950777 0.9807878 1 0 0 1 0 0 1 0 0 0 0.1950777 0.9807878 1 0 0 0 -0.5555589 0.8314773 1 0 0 0 -0.1950777 0.9807878 1 0 0 0 -0.8314773 0.5555589 1 0 0 0 -0.5555589 0.8314773 1 0 0 0 -0.9807878 0.1950777 1 0 0 1 0 0 0 -0.8314773 0.5555589 1 0 0 0 -0.9807878 -0.1950777 1 0 0 1 0 0 0 -0.9807878 0.1950777 1 0 0 0 -0.8314805 -0.5555541 1 0 0 0 -0.9807878 -0.1950777 1 0 0 0 -0.5555589 -0.8314773 1 0 0 0 -0.8314805 -0.5555541 1 0 0 0 -0.1950775 -0.9807878 1 0 0 0 -0.5555589 -0.8314773 1 0 0 0 0.1950775 -0.9807878 1 0 0 1 0 0 1 0 0 0 -0.1950775 -0.9807878 1 0 0 0 0.5555541 -0.8314805 1 0 0 0 0.1950775 -0.9807878 1 0 0 0 0.8314805 -0.5555541 1 0 0 0 0.5555541 -0.8314805 1 0 0 1 0 0 0 0.8314805 -0.5555541 1 0 0 0.6546605 0.3779436 -0.654659 1 0 0 0.6546776 -0.3779311 -0.6546491 0.6546538 -0.3779668 -0.6546523 1 0 0 0.6545343 0.7560323 0 0.6546894 0.3779619 -0.6546194 0.654669 0.3779386 0.6546532 0.6545343 0.7560324 0 0.6546608 -0.3779371 0.6546624 0.6546537 0.3779616 0.6546553 0.6545343 -0.7560323 0 0.6546709 -0.3779436 0.6546486 1 0 0 0.6545343 -0.7560323 0 1 0 0 0.6546247 -0.1955726 -0.7302176 1 0 0 0.6545866 -0.7302497 -0.1955812 1 0 0 1 0 0 0.6546576 -0.7301677 -0.1956496 1 0 0 0.6546651 0.5345153 -0.5345157 0.6545532 -0.1956736 -0.7302548 1 0 0 0.6545758 0.7302585 0.1955838 0.6546782 0.5345186 -0.5344964 0.6546331 0.1955724 0.7302101 0.6546519 0.7301707 0.1956571 0.6546816 -0.5345063 0.5345045 0.654563 0.1956714 0.7302466 0.6546791 -0.5345057 0.5345083 1 0 0 0.6546285 -0.6546295 -0.3780499 1 0 0 0.6545794 -0.6546692 0.3780665 1 0 0 1 0 0 1 0 0 0.6546575 -0.6546586 0.3779494 1 0 0 0.6546789 0 -0.7559072 0.6545559 -0.6547286 -0.378004 1 0 0 0.6545913 0.6546567 -0.3780671 0.6546788 0 -0.7559071 1 0 0 0.6546308 0.6546298 0.3780453 0.6546498 0.6546488 -0.3779796 1 0 0 0.6546779 0 0.7559081 1 0 0 0.6545667 0.6547172 0.3780049 1 0 0 0.6546778 0 0.7559081 1 0 0 0.6546354 -0.7302088 0.1955702 1 0 0 0.654589 -0.1955803 0.7302476 0.6546603 -0.195649 0.7301653 0.6546738 -0.5345097 -0.5345107 0.6545665 -0.7302445 0.1956676 0.6545763 0.1955837 -0.7302581 0.654672 -0.5345123 -0.5345103 0.6546247 0.730215 -0.195582 0.6546473 0.1956521 -0.7301762 1 0 0 0.6546784 0.5345023 0.5345125 0.6545607 0.7302483 -0.1956725 1 0 0 0.6546732 0.5345098 0.5345112 1 0 0 0.6546298 -0.3780453 0.6546308 1 0 0 0.6545809 0.3780701 0.6546654 0.6546545 0.3779599 0.6546555 1 0 0 0.6546761 -0.7559095 0 0.654551 -0.3779955 0.6547384 0.6545887 -0.3780644 -0.6546611 0.6546761 -0.7559095 0 0.6546294 0.3780503 -0.6546283 0.6546533 -0.3779675 -0.6546523 0.6546781 0.7559078 0 0.65457 0.3780128 -0.6547096 1 0 0 0.6546781 0.7559078 0 1 0 0 0.6546326 0.195571 0.730211 1 0 0 0.6545862 0.7302473 0.1955904 1 0 0 1 0 0 0.6546498 0.730174 0.1956517 1 0 0 0.6546815 -0.5345059 0.534505 0.6545635 0.1956686 0.7302469 1 0 0 0.654587 -0.7302492 -0.1955813 0.6546798 -0.5345055 0.5345073 0.6546277 -0.1955815 -0.7302126 0.6546581 -0.7301671 -0.1956499 0.654673 0.5345107 -0.5345105 0.6545631 -0.1956726 -0.7302461 0.654673 0.5345107 -0.5345107 1 0 0 0.6546309 0.6546294 0.3780461 1 0 0 0.6545909 0.6546573 -0.378067 1 0 0 1 0 0 1 0 0 1 0 0 0.6546508 0.6546493 -0.3779773 1 0 0 0.6546761 0 0.7559096 1 0 0 0.6545658 0.6547182 0.3780049 1 0 0 0.6545773 -0.6546696 0.3780693 1 0 0 1 0 0 0.6546761 0 0.7559096 1 0 0 0.6546279 -0.6546295 -0.378051 0.6546572 -0.6546588 0.3779495 1 0 0 0.6546781 0 -0.7559078 1 0 0 0.6545533 -0.6547315 -0.3780038 1 0 0 0.6546781 0 -0.7559078 1 0 0 0.6546218 0.7302199 -0.1955734 1 0 0 0.6545837 0.1955913 -0.7302494 1 0 0 0.6546469 0.1956524 -0.7301764 0.6546728 0.5345112 0.5345104 0.6545503 0.7302571 -0.1956746 0.6545866 -0.1955814 0.7302495 0.654686 0.5344915 0.5345138 0.6546361 -0.7302078 0.1955718 0.6546629 -0.1956549 0.7301616 1 0 0 0.6546763 -0.5345127 -0.5345045 1 0 0 1 0 0 0.6545655 -0.7302442 0.1956715 1 0 0 0.6546787 -0.5345091 -0.5345051 1 0 0 0 0.5001971 -0.8659116 1 0 0 0 -0.5001978 -0.8659112 1 0 0 0 -0.5001978 -0.8659112 1 0 0 0 1 0 0 0.5001971 -0.8659116 1 0 0 0 0.5002211 0.8658977 1 0 0 0 1 0 1 0 0 0 -0.5002219 0.8658974 0 0.5002211 0.8658977 1 0 0 0 -1 0 0 -0.5002219 0.8658974 1 0 0 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.5001971 -0.8659116 1 0 0 0 -0.5001978 -0.8659112 1 0 0 1 0 0 0 -0.5001978 -0.8659112 1 0 0 0 1 0 0 0.5001971 -0.8659116 1 0 0 0 0.5002211 0.8658977 1 0 0 1 0 0 0 1 0 1 0 0 0 -0.5002219 0.8658974 1 0 0 0 0.5002211 0.8658977 1 0 0 0 -1 0 1 0 0 0 -0.5002219 0.8658974 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.5002213 -0.8658976 1 0 0 0 -0.5002213 -0.8658976 1 0 0 0 -0.5002213 -0.8658976 1 0 0 0 1 0 1 0 0 0 0.5002213 -0.8658976 0 0.5002154 0.865901 1 0 0 0 1 0 0 -0.5002154 0.865901 0 0.5002154 0.865901 0 -1 0 0 -0.5002154 0.865901 0 -1 0 1 0 0 0 0.5002183 -0.8658993 0 -0.5002213 -0.8658976 0 -0.5002213 -0.8658976 0 1 0 0 0.5002183 -0.8658993 1 0 0 0 0.5002124 0.8659027 1 0 0 0 1 0 1 0 0 0 -0.5002154 0.865901 1 0 0 0 0.5002124 0.8659027 0 -1 0 0 -0.5002154 0.865901 0 -1 0 1 0 0 0 -0.5002212 0.8658977 1 0 0 0 0.5002204 0.8658981 1 0 0 1 0 0 0 0.5002204 0.8658981 1 0 0 0 -1 0 0 -0.5002212 0.8658977 1 0 0 0 -0.5002219 -0.8658974 1 0 0 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.5002211 -0.8658977 0 -0.5002219 -0.8658974 1 0 0 0 1 0 0 0.5002211 -0.8658977 1 0 0 1 0 0 0 1 0 1 0 0 0 -0.5002212 0.8658977 0 0.5002204 0.8658981 0 0.5002204 0.8658981 1 0 0 0 -1 0 1 0 0 0 -0.5002212 0.8658977 0 -0.5002219 -0.8658974 1 0 0 0 -1 0 0 0.5002211 -0.8658977 0 -0.5002219 -0.8658974 1 0 0 0 1 0 0 0.5002211 -0.8658977 1 0 0 0 1 0 1 0 0 0 -0.5002204 0.8658981 1 0 0 0 0.5002204 0.8658981 1 0 0 1 0 0 0 0.5002204 0.8658981 1 0 0 0 -1 0 0 -0.5002204 0.8658981 0 -0.5002204 -0.8658981 0 -1 0 0 0.5002204 -0.8658981 0 -0.5002204 -0.8658981 0 1 0 0 0.5002204 -0.8658981 0 1 0 1 0 0 0 -0.5002204 0.8658981 0 0.5002175 0.8658998 0 0.5002175 0.8658998 0 -1 0 0 -0.5002204 0.8658981 0 -0.5002204 -0.8658981 0 -1 0 0 0.5002175 -0.8658998 0 -0.5002204 -0.8658981 0 1 0 0 0.5002175 -0.8658998 0 1 0 1 0 0 0 -0.3827453 0.9238538 1 0 0 0 0 1 1 0 0 0 -0.9238541 0.3827449 0 -0.3827453 0.9238538 1 0 0 0 -1 0 1 0 0 0 -0.9238541 0.3827449 1 0 0 0 -0.9238528 0.3827481 0 -1 0 0 -0.3827474 0.923853 0 -0.9238528 0.3827481 0 0 1 0 -0.3827474 0.923853 0 0.2588485 0.965918 0 0 1 0 0.7071084 0.7071052 0 0.2588485 0.965918 1 0 0 0 0.9659171 0.2588513 0 0.7071084 0.7071052 0 0.9659171 -0.2588514 0 0.9659171 0.2588513 0 0.7071068 -0.7071068 0 0.9659171 -0.2588514 0 0.2588514 -0.9659171 0 0.7071068 -0.7071068 0 0 -1 0 0.2588514 -0.9659171 0 -0.3827449 -0.9238541 0 0 -1 1 0 0 0 -0.9238527 -0.3827483 1 0 0 0 -0.3827449 -0.9238541 0 -1 0 0 -0.9238527 -0.3827483 1 0 0 0 -0.9238541 -0.3827449 0 -1 0 1 0 0 0 -0.3827611 -0.9238473 1 0 0 0 -0.9238541 -0.3827449 1 0 0 0 0 -1 0 -0.3827611 -0.9238473 0 0 -1 0 -1 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3826526 0.9238923 0 -0.9238659 0.3827164 0 -0.3826526 0.9238923 0 -0.9238659 -0.3827164 0 -0.9238659 0.3827164 0 -0.382653 -0.9238921 0 -0.9238659 -0.3827164 1 0 0 0 0 -1 0 -0.382653 -0.9238921 0 0 -1 0 -1 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.5002179 -0.8658996 -1 0 0 8.14899e-5 0.5002197 -0.8658986 0 0.5000171 -0.8660155 -1 0 0 -9.58494e-6 -1 0 8.64536e-5 -0.500003 -0.8660237 8.80053e-5 -0.5002009 0.8659093 -9.58494e-6 -1 0 0 0.5002027 0.8659083 0 -0.4999822 0.8660357 -1.94718e-5 1 0 8.30805e-5 0.4999963 0.8660275 -1 0 0 -1.94718e-5 1 0 -1 0 0 0 -0.9659252 -0.2588214 -1 0 0 0 -0.258822 -0.965925 0 -0.258822 -0.965925 0 -0.7071051 0.7071085 0 -0.9659252 -0.2588214 0 0.258822 0.965925 0 -0.7071051 0.7071085 0 0.965923 0.2588295 0 0.258822 0.965925 -1 0 0 0 0.7071215 -0.707092 0 0.965923 0.2588295 -1 0 0 0 0.7071215 -0.707092 -1 0 0 0 -0.8660357 0.4999822 -1 0 0 0 -0.8660275 -0.4999963 -1 0 0 -1 0 0 0 -0.8660275 -0.4999963 -1 0 0 0 0 1 0 -0.8660357 0.4999822 -1 0 0 0 0.8660233 0.5000037 -1 0 0 0 0 1 -1 0 0 0 0.8660151 -0.5000178 -1 0 0 -1 0 0 -1 0 0 0 0.8660233 0.5000037 -1 0 0 0 0 -1 -1 0 0 0 0.8660151 -0.5000178 0 0 -1 -1 0 0 0 -0.2588214 0.9659252 -1 0 0 0 -0.9659261 0.258818 0 -0.9659261 0.258818 -1 0 0 0 0.7071059 0.7071077 0 -0.2588214 0.9659252 -1 0 0 0 0.9659248 -0.2588229 -1 0 0 0 0.7071059 0.7071077 -1 0 0 0 0.2588216 -0.9659251 -1 0 0 0 0.9659248 -0.2588229 -1 0 0 0 -0.7071081 -0.7071055 -1 0 0 0 0.2588216 -0.9659251 -1 0 0 -1 0 0 0 -0.7071081 -0.7071055 -1 0 0 0 0.4999944 0.8660286 -1 0 0 0 -0.4999823 0.8660356 0 -0.4999823 0.8660356 -1 0 0 0 1 0 0 0.4999944 0.8660286 0 0.5000159 -0.8660163 0 1 0 0 -0.5000038 -0.8660232 0 0.5000159 -0.8660163 0 -1 0 0 -0.5000038 -0.8660232 -1 0 0 0 -1 0 -1 0 0 0 0.9659251 0.2588217 -1 0 0 0 0.2588185 0.965926 0 0.2588185 0.965926 0 0.7071068 -0.7071068 0 0.9659251 0.2588217 0 -0.2588238 -0.9659245 0 0.7071068 -0.7071068 0 -0.9659251 -0.2588217 0 -0.2588238 -0.9659245 -1 0 0 0 -0.7071057 0.707108 0 -0.9659251 -0.2588217 -1 0 0 0 -0.7071057 0.707108 -1 0 0 0 0.8660166 -0.5000153 -1 0 0 0 0.8660236 0.5000032 -1 0 0 -1 0 0 0 0.8660236 0.5000032 -1 0 0 0 0 -1 0 0.8660166 -0.5000153 -1 0 0 0 -0.8660286 -0.4999944 -1 0 0 0 0 -1 -1 0 0 0 -0.8660356 0.4999823 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.8660286 -0.4999944 -1 0 0 0 0 1 0 -0.8660356 0.4999823 -1 0 0 0 0 1 -1 0 0 0 0.2588217 -0.9659251 -1 0 0 0 0.9659249 -0.2588225 0 0.9659249 -0.2588225 -1 0 0 0 -0.7071094 -0.7071042 -1 0 0 0 0.2588217 -0.9659251 -1 0 0 0 -0.9659247 0.258823 -1 0 0 -1 0 0 0 -0.7071094 -0.7071042 -1 0 0 0 -0.2588298 0.965923 -1 0 0 0 -0.9659247 0.258823 -1 0 0 0 0.7070919 0.7071216 -1 0 0 0 -0.2588298 0.965923 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7070919 0.7071216 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.923855 0.3827427 0 -0.923855 0.3827427 0 -1 0 0 0 0 -1 0 0 -1 -1 0 0 -1 0 0 0 0 1 -0.923855 0.3827427 0 -0.923855 0.3827427 0 -1 0 0 0 0 -1 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.5000058 -0.8660221 -1.42499e-4 0.5000054 -0.8660222 0 0.5002275 -0.865894 1.11759e-5 -1 0 -1.43513e-4 -0.5002294 -0.8658929 -1.44528e-4 -0.4999822 0.8660356 1.11759e-5 -1 0 0 0.4999819 0.8660359 0 -0.5002075 0.8659055 1.32455e-5 1 0 -1.43468e-4 0.5002056 0.8659067 1.32455e-5 1 0 0 -0.8660356 0.4999822 -1.43493e-4 -0.8660359 -0.4999819 0 -0.8659067 -0.5002055 1.11759e-5 0 1 -1.44485e-4 -0.8659055 0.5002075 -1.43534e-4 0.8660221 0.5000058 1.11759e-5 0 1 0 0.8660223 -0.5000054 0 0.8658929 0.5002294 1.32455e-5 0 -1 -1.42474e-4 0.865894 -0.5002275 1.32455e-5 0 -1 0 0.4999819 0.8660359 -1.36869e-4 -0.4999926 0.8660297 0 -0.5002059 0.8659065 2.6491e-5 1 0 -1.36843e-4 0.5001953 0.8659127 -1.35876e-4 0.5000054 -0.8660222 2.6491e-5 1 0 0 -0.5000161 -0.8660162 0 0.5002171 -0.8659 2.6491e-5 -1 0 -1.35848e-4 -0.5002278 -0.8658938 2.6491e-5 -1 0 0 0.8660223 -0.5000054 -1.35875e-4 0.8660162 0.5000161 0 0.8658938 0.5002278 2.6491e-5 0 -1 -1.35851e-4 0.8659 -0.5002171 -1.36871e-4 -0.8660359 -0.4999819 2.6491e-5 0 -1 0 -0.8660297 0.4999926 0 -0.8659127 -0.5001953 2.6491e-5 0 1 -1.36842e-4 -0.8659065 0.5002059 2.6491e-5 0 1 0 0 -1 0.8660247 -0.500001 0 0 0 -1 0.8660247 0.500001 1.69507e-5 0 0 -1 0.8660396 0.4999753 0 0 0 -1 0 -1 -7.71671e-5 0 0 -1 0.8660427 -0.4999701 2.04186e-5 0 0 -1 -0.8660247 -0.500001 2.4097e-5 0 -1 -7.71671e-5 0 0 -1 -0.8660247 0.500001 0 0 0 -1 0 0 -1 -0.8660459 -0.4999645 0 0 0 -1 0 1 -8.40855e-5 -0.8660429 0.4999698 2.06463e-5 0 0 -1 0 1 -8.40855e-5 0 0 -1 -0.3827535 0.9238505 0 0 0 -1 0 1 0 0 1 0 -0.3827535 0.9238505 0 0 0 -1 0.2642454 0.9644555 0 0 0 -1 0.7186405 0.6953818 0 0.2642454 0.9644555 0 0.6037892 0.797144 0 0.7186405 0.6953818 0 -0.1926733 0.9812629 0 0.6037892 0.797144 0 0 0 -1 -0.8604298 0.509569 0 -0.1926733 0.9812629 0 -0.9530674 -0.3027581 0 -0.8604298 0.509569 0 -0.4087218 -0.9126591 0 -0.9530674 -0.3027581 0 -0.4087218 -0.9126591 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8660248 0.500001 0 0 0 1 0.8660248 -0.500001 -2.04097e-5 0 0 1 0 0 1 0.8660427 -0.4999701 0 0 0 1 0 1 8.40847e-5 0.8660397 0.4999753 -1.69587e-5 -0.8660248 0.500001 -2.06376e-5 0 1 8.40848e-5 0 0 1 -0.8660248 -0.500001 0 0 0 1 0 0 1 -0.8660428 0.4999697 0 0 0 1 0 -1 7.71664e-5 0 0 1 -0.8660459 -0.4999645 -2.41059e-5 0 -1 7.71664e-5 -0.4087578 -0.9126429 0 0 0 1 -0.953092 -0.3026807 -9.06437e-5 -0.4087218 -0.9126591 4.15392e-5 -0.8604422 0.5095478 -6.44207e-5 -0.9530674 -0.3027581 -5.36802e-6 -0.1927525 0.9812475 -5.44668e-6 -0.8604298 0.509569 -9.02273e-5 0.6037466 0.7971763 5.61503e-5 -0.1926733 0.9812629 -9.0253e-5 0.7186405 0.6953818 0 0.6037892 0.797144 0 0.2642454 0.9644555 0 0.7186405 0.6953818 0 0 1 0 0 1 0 0.2642454 0.9644555 0 -0.3827534 0.9238505 0 -0.3827534 0.9238505 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 0.6588509 0.3704939 -0.6547135 0 0 -1 0 0 -1 0.6503912 -0.3853505 -0.6545962 0 0 -1 0.6503329 -0.3853308 -0.6546658 0.008546531 0.7556274 -0.6549459 0.6589394 0.3705718 -0.6545804 0 0 -1 -0.6503876 0.3853548 -0.6545973 0 0 -1 0 0 -1 0 0 -1 0.008548557 0.7556173 -0.6549575 0 0 -1 -0.6588721 -0.3705004 -0.6546885 0 0 -1 0 0 -1 -0.6503118 0.3853292 -0.6546877 -0.008546531 -0.7556276 -0.6549458 -0.6589447 -0.3705644 -0.6545791 0 0 -1 0 0 -1 0 0 -1 -0.008548736 -0.7556167 -0.6549584 -0.9195085 0.3930701 0 -0.9281696 -0.3721575 -9.95339e-6 -0.9281437 -0.3722218 0 -0.3722848 0.9281185 2.29486e-5 -0.919483 0.3931297 -9.31961e-6 0.3931414 0.919478 1.3737e-5 -0.3722261 0.928142 1.38665e-5 0.9281734 0.3721479 -1.03786e-5 0.3930876 0.919501 2.21396e-5 0.9195067 -0.3930743 0 0.9281466 0.372215 0 0.3722827 -0.9281194 2.34695e-5 0.9194834 -0.3931288 -8.50533e-6 -0.3931596 -0.9194703 1.37168e-5 0.3722205 -0.9281443 1.38462e-5 -0.3931007 -0.9194954 2.28937e-5 0 0 1 -0.6503541 0.3853349 0.6546422 0 0 1 0 0 1 -0.6589969 -0.3705706 0.6545232 0 0 1 -0.6589044 -0.3705417 0.6546326 0.008546888 0.7556603 0.654908 -0.6504129 0.3853892 0.654552 0 0 1 0.6589946 0.3705747 0.6545232 0 0 1 0 0 1 0 0 1 0.008549153 0.7556704 0.6548963 0 0 1 0.6503741 -0.3853403 0.6546193 0 0 1 0 0 1 0.658882 0.3705396 0.6546563 -0.008546888 -0.7556595 0.6549088 0.6504194 -0.3853821 0.6545497 0 0 1 0 0 1 0 0 1 -0.008549332 -0.7556704 0.6548963 -0.9281696 -0.3721575 0 -0.9195085 0.39307 9.31977e-6 -0.919483 0.3931297 0 -0.3931595 -0.9194702 -2.28912e-5 -0.9281437 -0.3722218 9.9504e-6 0.3722826 -0.9281194 -1.38458e-5 -0.3931007 -0.9194954 -1.37171e-5 0.9195067 -0.3930743 8.50776e-6 0.3722205 -0.9281444 -2.34717e-5 0.9281735 0.3721479 0 0.9194834 -0.3931288 0 0.3931413 0.9194779 -2.21373e-5 0.9281465 0.372215 1.03701e-5 -0.3722848 0.9281185 -1.3866e-5 0.3930876 0.919501 -1.37373e-5 -0.3722261 0.9281421 -2.29507e-5 -0.8716276 -0.4901687 0 -0.8716276 -0.4901687 0 -0.8603152 0.5097625 0 -0.01131284 -0.9999361 0 -0.01131284 -0.9999361 0 0.8603215 -0.5097519 0 0.8603215 -0.5097519 0 0.8716217 0.4901793 0 0.8716217 0.4901793 0 -0.8603152 0.5097625 0 0.01131266 0.999936 0 0.01131266 0.999936 0 0.501316 -0.2143397 0.8382964 0.5060372 0.2029363 0.8382978 0.2029402 -0.5060384 0.8382962 -0.214323 -0.5013194 0.8382984 -0.5060271 -0.2029365 0.8383039 -0.5013064 0.2143361 0.838303 -0.2029416 0.506033 0.8382991 0.2143162 0.5013235 0.838298 -0.5060271 -0.2029365 -0.8383039 -0.5013064 0.2143361 -0.8383031 -0.214323 -0.5013194 -0.8382984 0.2029402 -0.5060384 -0.8382962 0.501316 -0.2143397 -0.8382964 0.5060372 0.2029363 -0.8382978 0.2143162 0.5013235 -0.8382979 -0.2029416 0.506033 -0.8382991 0 0 1 -0.9238651 0.382718 0 0 0 1 0 0 1 -0.9238647 -0.3827189 5.21812e-4 0 0 1 0 0 1 -0.9238843 -0.3826717 0 0 0 1 -0.38265 0.9238934 -2.45995e-4 -0.9238842 0.3826721 5.07529e-4 0.38265 0.9238934 1.83567e-4 -0.3826888 0.9238773 1.83452e-4 0 0 1 0.923865 0.382718 5.07555e-4 0 0 1 0.3826888 0.9238773 -2.46088e-4 0 0 1 0.9238649 -0.3827189 0 0 0 1 0 0 1 0 0 1 0.9238843 0.3826721 0 0 0 1 0.382653 -0.923892 -2.11573e-4 0.9238842 -0.3826716 5.21888e-4 -0.3826531 -0.9238921 1.49148e-4 0.3826857 -0.9238786 1.49039e-4 0 0 1 -0.3826857 -0.9238786 -2.11675e-4 1 0 0 0.500012 -0.8660185 0 1 0 0 0.5000101 0.8660196 0 0.5000101 0.8660196 0 -0.5000101 0.8660196 0 -0.5000101 0.8660196 0 -1 0 0 -1 0 0 -0.500012 -0.8660185 0 -0.500012 -0.8660185 0 0.500012 -0.8660185 0 0.678609 -0.2810789 -0.67859 0.6786074 0.2810874 -0.6785883 0.6786062 0.2810781 -0.6785933 0.2810896 -0.6786056 -0.6785891 0.678602 -0.2810844 -0.6785947 -0.2810865 -0.6785979 -0.6785979 0.2810649 -0.6786025 -0.6786025 -0.6786063 -0.2810779 -0.6785932 -0.2810712 -0.6786177 -0.6785846 -0.6786075 -0.2810866 -0.6785885 -0.678609 0.2810793 -0.6785899 0.9238804 -0.3826814 0 0.7071076 0.7071061 0 0.8212157 0.3401575 -0.4581461 0.3401319 -0.821214 -0.458168 -0.3826585 -0.9238899 0 0.7071062 -0.7071074 0 -0.8212152 -0.3401563 -0.4581478 -0.7071062 -0.7071074 0 -0.9238801 0.3826823 0 -0.6786016 0.281085 -0.678595 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071076 0.7071061 0 -0.3401383 0.8212133 -0.4581644 0 0 -1 -0.707095 0.7071186 0 -0.7070934 -0.7071202 0 -0.7070934 -0.7071202 0 0.707095 0.7071186 0 -0.707095 0.7071186 0 0.7070934 -0.7071202 0 0.707095 0.7071186 0 0.7070934 -0.7071202 0 0.3826647 0.9238873 0 0 0 -1 0 0 -1 -0.2810917 0.6786043 -0.6785895 0.2810889 0.6785975 -0.6785975 -0.2810698 0.6786015 -0.6786015 0.2810754 0.6786149 -0.6785856 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9238582 0.3827349 0 0 0 1 0 0 1 -0.923858 -0.3827348 5.11841e-4 0 0 1 0 0 1 -0.9238774 -0.3826886 0 0 0 1 -0.3826498 0.9238933 -2.49949e-4 -0.9238771 0.3826888 5.09506e-4 0.3826501 0.9238934 1.83567e-4 -0.3826891 0.9238771 1.83452e-4 0 0 1 0.9238578 0.3827354 5.09465e-4 0 0 1 0.3826893 0.9238771 -2.50049e-4 0 0 1 0.9238579 -0.3827354 0 0 0 1 0 0 1 0 0 1 0.9238771 0.3826893 0 0 0 1 0.3826501 -0.9238934 -2.44213e-4 0.923877 -0.3826891 5.11733e-4 -0.3826498 -0.9238933 1.83567e-4 0.3826888 -0.9238772 1.83699e-4 0 0 1 -0.3826886 -0.9238774 -2.44107e-4 1 0 0 0.4999974 -0.8660269 0 1 0 0 0.4999964 0.8660275 0 0.4999964 0.8660275 0 -0.499997 0.8660272 0 -0.499997 0.8660272 0 -1 0 0 -1 0 0 -0.499998 -0.8660265 0 -0.499998 -0.8660265 0 0.4999974 -0.8660269 0 0.6785957 -0.2810884 -0.6785995 0.6786028 0.281054 -0.6786066 0.678608 0.2810937 -0.6785851 0.2810933 -0.6786082 -0.678585 0.6786276 -0.2810637 -0.6785778 -0.2810881 -0.678596 -0.6785992 0.281054 -0.6786031 -0.6786063 -0.6786082 -0.2810931 -0.6785849 -0.2810637 -0.6786276 -0.6785778 -0.6786032 -0.2810537 -0.6786063 -0.678596 0.2810883 -0.6785992 0.9238954 -0.3826451 0 0.7071068 0.7071068 0 0.8212129 0.3401181 -0.4581803 0.340118 -0.8212126 -0.4581809 -0.3826451 -0.9238954 0 0.7071071 -0.7071065 0 -0.8212127 -0.3401175 -0.458181 -0.7071068 -0.7071068 0 -0.9238952 0.3826456 0 -0.6786274 0.2810641 -0.6785779 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071065 0.7071071 0 -0.3401176 0.8212129 -0.4581804 0 0 -1 -0.7070937 0.70712 0 -0.7070937 -0.70712 0 -0.7070937 -0.70712 0 0.707094 0.7071196 0 -0.7070937 0.70712 0 0.707094 -0.7071196 0 0.707094 0.7071196 0 0.707094 -0.7071196 0 0.3826456 0.9238952 0 0 0 -1 0 0 -1 -0.2810935 0.678608 -0.678585 0.2810886 0.6785956 -0.6785994 -0.2810536 0.6786029 -0.6786066 0.2810641 0.6786274 -0.6785779 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 -0.9238649 -0.3827189 0 0 0 -1 0 0 -1 -0.923865 0.382718 -5.07555e-4 0 0 -1 0 0 -1 -0.9238843 0.3826721 0 0 0 -1 -0.382653 -0.923892 2.11573e-4 -0.9238842 -0.3826716 -5.21888e-4 0.3826531 -0.9238921 -1.49148e-4 -0.3826857 -0.9238786 -1.49039e-4 0 0 -1 0.9238647 -0.3827189 -5.21812e-4 0 0 -1 0.3826857 -0.9238786 2.11675e-4 0 0 -1 0.9238651 0.382718 0 0 0 -1 0 0 -1 0 0 -1 0.9238843 -0.3826717 0 0 0 -1 0.38265 0.9238934 2.45995e-4 0.9238842 0.3826721 -5.07529e-4 -0.38265 0.9238934 -1.83567e-4 0.3826888 0.9238773 -1.83452e-4 0 0 -1 -0.3826888 0.9238773 2.46088e-4 1 0 0 0.5000101 0.8660196 0 1 0 0 0.500012 -0.8660185 0 0.500012 -0.8660185 0 -0.500012 -0.8660185 0 -0.500012 -0.8660185 0 -1 0 0 -1 0 0 -0.5000101 0.8660196 0 -0.5000101 0.8660196 0 0.5000101 0.8660196 0 0.6786015 0.2810762 0.6785989 0.6785998 -0.2810836 0.6785973 0.6785988 -0.2810747 0.678602 0.2810886 0.6785966 0.6785984 0.6785941 0.2810819 0.6786038 -0.2810858 0.6785898 0.6786063 0.2810667 0.6785939 0.6786104 -0.6785985 0.281075 0.6786022 -0.2810723 0.6786074 0.6785945 -0.6785997 0.2810842 0.6785972 -0.6786015 -0.2810758 0.6785989 0.9238801 0.3826823 0 0.7071062 -0.7071074 0 0.8212152 -0.3401563 0.4581479 0.3401382 0.8212133 0.4581643 -0.3826647 0.9238873 0 0.7071076 0.7071061 0 -0.8212157 0.3401575 0.4581461 -0.7071076 0.7071061 0 -0.9238804 -0.3826814 0 -0.6785944 -0.2810813 0.6786036 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071062 -0.7071074 0 -0.3401319 -0.8212139 0.458168 0 0 1 -0.7070934 -0.7071202 0 -0.707095 0.7071186 0 -0.707095 0.7071186 0 0.7070934 -0.7071202 0 -0.7070934 -0.7071202 0 0.707095 0.7071186 0 0.7070934 -0.7071202 0 0.707095 0.7071186 0 0.3826585 -0.9238899 0 0 0 1 0 0 1 -0.2810865 -0.6785981 0.6785979 0.2810833 -0.6785904 0.6786068 -0.2810618 -0.6785949 0.6786113 0.281068 -0.6786102 0.6785935 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238582 -0.3827349 0 0 0 -1 0 0 -1 -0.923858 0.3827348 -5.09465e-4 0 0 -1 0 0 -1 -0.9238772 0.3826888 0 0 0 -1 -0.3826498 -0.9238933 2.44213e-4 -0.9238774 -0.3826886 -5.11734e-4 0.3826501 -0.9238934 -1.83567e-4 -0.3826886 -0.9238774 -1.83452e-4 0 0 -1 0.9238578 -0.3827354 -5.11841e-4 0 0 -1 0.3826888 -0.9238772 2.44355e-4 0 0 -1 0.9238579 0.3827354 0 0 0 -1 0 0 -1 0 0 -1 0.9238771 -0.3826891 0 0 0 -1 0.3826501 0.9238934 2.49949e-4 0.923877 0.3826893 -5.09505e-4 -0.3826498 0.9238933 -1.83567e-4 0.3826893 0.9238771 -1.83699e-4 0 0 -1 -0.3826891 0.9238771 2.49801e-4 1 0 0 0.4999964 0.8660275 0 1 0 0 0.4999974 -0.8660269 0 0.4999974 -0.8660269 0 -0.499998 -0.8660265 0 -0.499998 -0.8660265 0 -1 0 0 -1 0 0 -0.499997 0.8660272 0 -0.499997 0.8660272 0 0.4999964 0.8660275 0 0.678588 0.2810854 0.6786083 0.6785953 -0.2810505 0.6786155 0.6786004 -0.2810904 0.6785939 0.2810906 0.6786004 0.678594 0.6786198 0.2810609 0.6785867 -0.2810853 0.6785882 0.6786084 0.2810508 0.6785953 0.6786155 -0.6786006 0.2810902 0.6785939 -0.2810606 0.6786199 0.6785866 -0.6785956 0.2810509 0.6786152 -0.6785885 -0.281085 0.6786081 0.9238952 0.3826456 0 0.7071071 -0.7071065 0 0.8212128 -0.3401176 0.4581804 0.3401181 0.8212129 0.4581803 -0.3826451 0.9238954 0 0.7071068 0.7071068 0 -0.8212126 0.340118 0.4581809 -0.7071065 0.7071071 0 -0.9238954 -0.3826451 0 -0.6786199 -0.2810606 0.6785866 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071068 -0.7071068 0 -0.3401175 -0.8212127 0.4581811 0 0 1 -0.7070935 -0.7071199 0 -0.7070935 0.7071199 0 -0.7070935 0.7071199 0 0.707094 -0.7071195 0 -0.7070935 -0.7071199 0 0.707094 0.7071195 0 0.707094 -0.7071195 0 0.707094 0.7071195 0 0.3826456 -0.9238952 0 0 0 1 0 0 1 -0.28109 -0.6786007 0.6785938 0.2810851 -0.6785884 0.6786081 -0.2810506 -0.6785957 0.6786152 0.2810609 -0.6786198 0.6785867 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 -0.9238894 0.3826596 0 0 0 1 0 0 1 -0.9238891 -0.38266 -1.33573e-4 0 0 1 0 0 1 -0.9238843 -0.3826721 0 0 0 1 -0.3827094 0.9238688 4.10376e-4 -0.9238843 0.3826717 -1.3369e-4 0.3827094 0.9238688 1.49144e-4 -0.3826857 0.9238786 1.49039e-4 0 0 1 0.9238894 0.3826596 -1.33573e-4 0 0 1 0.3826857 0.9238784 4.10477e-4 0 0 1 0.9238891 -0.38266 0 0 0 1 0 0 1 0 0 1 0.9238843 0.3826717 0 0 0 1 0.3827094 -0.9238688 4.10376e-4 0.9238843 -0.3826721 -1.33691e-4 -0.3827094 -0.9238688 1.83562e-4 0.3826888 -0.9238773 1.83452e-4 0 0 1 -0.3826888 -0.9238772 4.10476e-4 1 0 0 0.5000101 -0.8660196 0 1 0 0 0.500012 0.8660185 0 0.500012 0.8660185 0 -0.500012 0.8660185 0 -0.500012 0.8660185 0 -1 0 0 -1 0 0 -0.5000101 -0.8660196 0 -0.5000101 -0.8660196 0 0.5000101 -0.8660196 0 0.678609 -0.2810793 -0.6785899 0.6786074 0.2810867 -0.6785884 0.6786063 0.2810779 -0.6785932 0.2810917 -0.6786043 -0.6785895 0.6786016 -0.281085 -0.678595 -0.2810889 -0.6785975 -0.6785975 0.2810698 -0.6786015 -0.6786015 -0.6786062 -0.2810781 -0.6785933 -0.2810754 -0.6786149 -0.6785856 -0.6786074 -0.2810873 -0.6785883 -0.678609 0.2810789 -0.67859 0.9238801 -0.3826823 0 0.7071062 0.7071074 0 0.8212152 0.3401563 -0.4581479 0.3401382 -0.8212133 -0.4581643 -0.3826647 -0.9238873 0 0.7071076 -0.7071061 0 -0.8212157 -0.3401575 -0.4581461 -0.7071076 -0.7071061 0 -0.9238804 0.3826814 0 -0.678602 0.2810844 -0.6785947 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071062 0.7071074 0 -0.3401319 0.8212139 -0.458168 0 0 -1 -0.7071062 0.7071074 0 -0.7071078 -0.7071058 0 -0.7071078 -0.7071058 0 0.7071062 0.7071074 0 -0.7071062 0.7071074 0 0.7071078 -0.7071058 0 0.7071062 0.7071074 0 0.7071078 -0.7071058 0 0.3826585 0.9238899 0 0 0 -1 0 0 -1 -0.2810896 0.6786056 -0.6785891 0.2810865 0.6785979 -0.6785979 -0.2810649 0.6786025 -0.6786025 0.2810712 0.6786177 -0.6785846 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9238826 0.3826762 0 0 0 1 0 0 1 -0.9238826 -0.3826762 -1.44766e-4 0 0 1 0 0 1 -0.9238771 -0.3826893 0 0 0 1 -0.3827086 0.9238691 4.01967e-4 -0.9238771 0.3826891 -1.42354e-4 0.3827086 0.9238691 1.83562e-4 -0.3826888 0.9238772 1.83699e-4 0 0 1 0.9238826 0.3826762 -1.36654e-4 0 0 1 0.3826886 0.9238774 4.04534e-4 0 0 1 0.9238826 -0.3826762 0 0 0 1 0 0 1 0 0 1 0.9238774 0.3826886 0 0 0 1 0.3827086 -0.9238691 3.98607e-4 0.9238772 -0.3826888 -1.38889e-4 -0.3827086 -0.9238691 1.83562e-4 0.3826891 -0.9238771 1.83452e-4 0 0 1 -0.3826893 -0.9238771 3.96117e-4 1 0 0 0.499997 -0.8660272 0 1 0 0 0.499998 0.8660265 0 0.499998 0.8660265 0 -0.4999974 0.8660269 0 -0.4999974 0.8660269 0 -1 0 0 -1 0 0 -0.4999964 -0.8660275 0 -0.4999964 -0.8660275 0 0.499997 -0.8660272 0 0.678596 -0.2810883 -0.6785992 0.6786032 0.2810537 -0.6786063 0.6786082 0.2810931 -0.6785849 0.2810935 -0.678608 -0.678585 0.6786274 -0.2810641 -0.6785779 -0.2810886 -0.6785956 -0.6785994 0.2810536 -0.6786029 -0.6786066 -0.678608 -0.2810937 -0.6785851 -0.2810641 -0.6786274 -0.6785779 -0.6786028 -0.2810539 -0.6786066 -0.6785957 0.2810884 -0.6785995 0.9238952 -0.3826456 0 0.7071068 0.7071068 0 0.8212127 0.3401175 -0.458181 0.3401176 -0.8212128 -0.4581804 -0.3826456 -0.9238952 0 0.7071065 -0.7071071 0 -0.8212129 -0.3401181 -0.4581803 -0.7071068 -0.7071068 0 -0.9238954 0.3826451 0 -0.6786276 0.2810637 -0.6785778 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071071 0.7071065 0 -0.3401179 0.8212126 -0.4581809 0 0 -1 -0.7071072 0.7071064 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 0.7071068 0.7071068 0 -0.7071072 0.7071064 0 0.7071064 -0.7071072 0 0.7071068 0.7071068 0 0.7071064 -0.7071072 0 0.3826451 0.9238954 0 0 0 -1 0 0 -1 -0.2810933 0.6786082 -0.678585 0.2810881 0.678596 -0.6785992 -0.281054 0.6786031 -0.6786063 0.2810637 0.6786276 -0.6785778 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 -0.9238825 -0.3826763 0 0 0 -1 0 0 -1 -0.9238825 0.3826763 1.38705e-4 0 0 -1 0 0 -1 -0.9238774 0.3826888 0 0 0 -1 -0.3827083 -0.9238693 -3.99245e-4 -0.9238774 -0.3826888 1.38613e-4 0.3827078 -0.9238694 0 -0.3826721 -0.9238842 0 0 0 -1 0.9238838 -0.3826732 1.38707e-4 0 0 -1 0.3826717 -0.9238844 -3.99259e-4 0 0 -1 0.9238838 0.3826732 0 0 0 -1 0 0 -1 0 0 -1 0.9238786 -0.3826857 0 0 0 -1 0.3827078 0.9238693 -3.99245e-4 0.9238786 0.3826857 1.38861e-4 -0.3827083 0.9238693 0 0.3826717 0.9238844 0 0 0 -1 -0.3826721 0.9238842 -3.99507e-4 1 0 0 0.4999834 0.8660349 0 1 0 0 0.4999834 -0.8660349 0 0.4999834 -0.8660349 0 -0.4999644 -0.866046 0 -0.4999644 -0.866046 0 -1 0 0 -1 0 0 -0.4999644 0.866046 0 -0.4999644 0.866046 0 0.4999834 0.8660349 0 0.6785887 0.2810826 0.6786089 0.6785932 -0.2810609 0.6786133 0.6785963 -0.2810857 0.6786 0.281074 0.678597 0.6786041 0.6786084 0.2810673 0.6785954 -0.2810755 0.6785997 0.6786009 0.2810828 0.6785981 0.6785994 -0.6785949 0.2810878 0.6786004 -0.2810811 0.6785924 0.6786059 -0.6785922 0.281066 0.6786124 -0.6785882 -0.281085 0.6786084 0.9238899 0.3826585 0 0.7071074 -0.7071061 0 0.8212148 -0.3401324 0.4581661 0.3401567 0.8212161 0.4581459 -0.3826823 0.9238801 0 0.7071074 0.7071061 0 -0.8212143 0.3401386 0.4581624 -0.7071061 0.7071075 0 -0.9238872 -0.3826647 0 -0.6786056 -0.2810716 0.6785965 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071061 -0.7071075 0 -0.3401578 -0.8212165 0.4581441 0 0 1 -0.7070931 -0.7071203 0 -0.7070931 0.7071203 0 -0.7070931 0.7071203 0 0.7070947 -0.7071188 0 -0.7070931 -0.7071203 0 0.7070947 0.7071188 0 0.7070947 -0.7071188 0 0.7070947 0.7071188 0 0.3826814 -0.9238803 0 0 0 1 0 0 1 -0.2810743 -0.6785969 0.6786042 0.2810751 -0.6785998 0.678601 -0.2810835 -0.678598 0.6785992 0.2810806 -0.6785928 0.6786057 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238826 -0.3826763 0 0 0 -1 0 0 -1 -0.9238826 0.3826763 1.36626e-4 0 0 -1 0 0 -1 -0.9238774 0.3826886 0 0 0 -1 -0.3827086 -0.923869 -3.98528e-4 -0.9238773 -0.3826888 1.38861e-4 0.3827086 -0.9238691 -1.83526e-4 -0.3826891 -0.9238772 -1.83415e-4 0 0 -1 0.9238826 -0.3826763 1.44737e-4 0 0 -1 0.3826894 -0.9238771 -3.96038e-4 0 0 -1 0.9238826 0.3826763 0 0 0 -1 0 0 -1 0 0 -1 0.9238771 -0.3826894 0 0 0 -1 0.3827086 0.923869 -4.01887e-4 0.9238772 0.3826891 1.42326e-4 -0.3827086 0.9238691 -1.83526e-4 0.3826888 0.9238773 -1.83663e-4 0 0 -1 -0.3826885 0.9238773 -4.04454e-4 1 0 0 0.4999974 0.8660269 0 1 0 0 0.4999964 -0.8660275 0 0.4999964 -0.8660275 0 -0.499997 -0.8660272 0 -0.499997 -0.8660272 0 -1 0 0 -1 0 0 -0.499998 0.8660265 0 -0.499998 0.8660265 0 0.4999974 0.8660269 0 0.6785863 0.2810845 0.6786103 0.6785936 -0.2810501 0.6786175 0.6785986 -0.2810898 0.678596 0.2810894 0.6785988 0.6785959 0.6786181 0.2810599 0.6785887 -0.2810842 0.6785867 0.6786102 0.2810502 0.6785938 0.6786172 -0.6785989 0.2810893 0.6785959 -0.2810599 0.6786181 0.6785887 -0.6785938 0.2810498 0.6786172 -0.6785867 -0.2810844 0.67861 0.9238954 0.3826451 0 0.7071068 -0.7071068 0 0.8212138 -0.3401185 0.4581784 0.3401184 0.8212136 0.4581789 -0.3826451 0.9238954 0 0.7071071 0.7071065 0 -0.8212136 0.3401179 0.4581791 -0.7071068 0.7071068 0 -0.9238952 -0.3826456 0 -0.678618 -0.2810602 0.6785888 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071065 -0.7071071 0 -0.3401181 -0.8212139 0.4581785 0 0 1 -0.7071064 -0.7071072 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 0.7071068 -0.7071068 0 -0.7071064 -0.7071072 0 0.7071072 0.7071064 0 0.7071068 -0.7071068 0 0.7071072 0.7071064 0 0.3826456 -0.9238952 0 0 0 1 0 0 1 -0.2810897 -0.6785987 0.678596 0.2810847 -0.6785863 0.6786103 -0.2810497 -0.6785936 0.6786176 0.2810602 -0.678618 0.6785888 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238892 -0.38266 0 0 0 -1 0 0 -1 -0.9238894 0.3826596 1.33547e-4 0 0 -1 0 0 -1 -0.9238844 0.3826717 0 0 0 -1 -0.3827093 -0.9238687 -4.10295e-4 -0.9238842 -0.3826721 1.33664e-4 0.3827094 -0.9238688 -1.83526e-4 -0.3826888 -0.9238772 -1.83415e-4 0 0 -1 0.9238892 -0.38266 1.33547e-4 0 0 -1 0.3826888 -0.9238772 -4.10395e-4 0 0 -1 0.9238894 0.3826596 0 0 0 -1 0 0 -1 0 0 -1 0.9238842 -0.3826721 0 0 0 -1 0.3827093 0.9238687 -4.10295e-4 0.9238844 0.3826717 1.33664e-4 -0.3827094 0.9238688 -1.49115e-4 0.3826857 0.9238786 -1.4901e-4 0 0 -1 -0.3826857 0.9238785 -4.10395e-4 1 0 0 0.500012 0.8660185 0 1 0 0 0.5000101 -0.8660196 0 0.5000101 -0.8660196 0 -0.5000101 -0.8660196 0 -0.5000101 -0.8660196 0 -1 0 0 -1 0 0 -0.500012 0.8660185 0 -0.500012 0.8660185 0 0.500012 0.8660185 0 0.6785998 0.2810751 0.678601 0.678598 -0.2810835 0.6785992 0.6785969 -0.2810743 0.6786042 0.2810857 0.6785963 0.6786 0.6785928 0.2810806 0.6786057 -0.2810826 0.6785887 0.6786089 0.281061 0.6785932 0.6786133 -0.678597 0.281074 0.6786041 -0.2810673 0.6786084 0.6785954 -0.6785981 0.2810828 0.6785994 -0.6785997 -0.2810754 0.6786009 0.9238803 0.3826814 0 0.7071075 -0.7071061 0 0.8212165 -0.3401578 0.4581441 0.3401324 0.8212148 0.458166 -0.3826585 0.9238899 0 0.7071061 0.7071074 0 -0.8212161 0.3401567 0.4581459 -0.7071061 0.7071074 0 -0.9238801 -0.3826823 0 -0.6785924 -0.2810811 0.6786059 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071075 -0.7071061 0 -0.3401386 -0.8212143 0.4581624 0 0 1 -0.7071077 -0.7071058 0 -0.7071062 0.7071074 0 -0.7071062 0.7071074 0 0.7071077 -0.7071058 0 -0.7071077 -0.7071058 0 0.7071062 0.7071074 0 0.7071077 -0.7071058 0 0.7071062 0.7071074 0 0.3826647 -0.9238872 0 0 0 1 0 0 1 -0.2810878 -0.6785949 0.6786004 0.281085 -0.6785882 0.6786084 -0.281066 -0.6785922 0.6786124 0.2810716 -0.6786056 0.6785965 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238826 -0.3826763 0 0 0 -1 0 0 -1 -0.9238826 0.3826763 1.42362e-4 0 0 -1 0 0 -1 -0.9238772 0.3826891 0 0 0 -1 -0.3827086 -0.923869 -3.96152e-4 -0.9238771 -0.3826894 1.44554e-4 0.3827086 -0.9238691 -1.83526e-4 -0.3826894 -0.9238771 -1.83663e-4 0 0 -1 0.9238826 -0.3826763 1.39002e-4 0 0 -1 0.3826891 -0.9238772 -3.98513e-4 0 0 -1 0.9238826 0.3826763 0 0 0 -1 0 0 -1 0 0 -1 0.9238773 -0.3826888 0 0 0 -1 0.3827086 0.923869 -4.04263e-4 0.9238774 0.3826886 1.36633e-4 -0.3827086 0.9238691 -1.83526e-4 0.3826886 0.9238774 -1.83415e-4 0 0 -1 -0.3826888 0.9238772 -4.01979e-4 1 0 0 0.499998 0.8660265 0 1 0 0 0.499997 -0.8660272 0 0.499997 -0.8660272 0 -0.4999964 -0.8660275 0 -0.4999964 -0.8660275 0 -1 0 0 -1 0 0 -0.4999974 0.8660269 0 -0.4999974 0.8660269 0 0.499998 0.8660265 0 0.6785867 0.2810842 0.6786102 0.6785938 -0.2810501 0.6786172 0.6785988 -0.2810894 0.6785959 0.2810893 0.6785989 0.6785959 0.6786181 0.2810599 0.6785887 -0.2810844 0.6785867 0.67861 0.2810498 0.6785938 0.6786172 -0.6785987 0.2810897 0.678596 -0.2810602 0.678618 0.6785888 -0.6785936 0.2810497 0.6786176 -0.6785863 -0.2810847 0.6786103 0.9238954 0.3826451 0 0.7071065 -0.7071071 0 0.8212136 -0.3401184 0.4581789 0.3401179 0.8212136 0.4581791 -0.3826456 0.9238952 0 0.7071068 0.7071068 0 -0.8212139 0.3401181 0.4581785 -0.7071071 0.7071065 0 -0.9238952 -0.3826456 0 -0.678618 -0.2810602 0.6785888 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071068 -0.7071068 0 -0.3401185 -0.8212138 0.4581783 0 0 1 -0.7071068 -0.7071068 0 -0.7071072 0.7071064 0 -0.7071072 0.7071064 0 0.7071064 -0.7071072 0 -0.7071068 -0.7071068 0 0.7071068 0.7071068 0 0.7071064 -0.7071072 0 0.7071068 0.7071068 0 0.3826451 -0.9238954 0 0 0 1 0 0 1 -0.2810898 -0.6785986 0.678596 0.2810845 -0.6785863 0.6786103 -0.2810501 -0.6785936 0.6786175 0.2810599 -0.6786181 0.6785887 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 -0.9238826 0.3826763 0 0 0 1 0 0 1 -0.9238826 -0.3826763 -1.38733e-4 0 0 1 0 0 1 -0.9238773 -0.3826888 0 0 0 1 -0.3827083 0.9238692 3.99324e-4 -0.9238773 0.3826888 -1.38641e-4 0.3827078 0.9238695 0 -0.3826721 0.9238843 0 0 0 1 0.9238838 0.3826732 -1.38735e-4 0 0 1 0.3826717 0.9238843 3.99338e-4 0 0 1 0.9238838 -0.3826732 0 0 0 1 0 0 1 0 0 1 0.9238786 0.3826857 0 0 0 1 0.3827078 -0.9238694 3.99325e-4 0.9238786 -0.3826857 -1.38889e-4 -0.3827083 -0.9238693 0 0.3826717 -0.9238843 0 0 0 1 -0.3826721 -0.9238842 3.99586e-4 1 0 0 0.4999834 -0.8660349 0 1 0 0 0.4999834 0.8660349 0 0.4999834 0.8660349 0 -0.4999644 0.866046 0 -0.4999644 0.866046 0 -1 0 0 -1 0 0 -0.4999644 -0.866046 0 -0.4999644 -0.866046 0 0.4999834 -0.8660349 0 0.6785979 -0.2810865 -0.6785979 0.6786025 0.2810649 -0.6786025 0.6786056 0.2810896 -0.6785891 0.2810779 -0.6786063 -0.6785932 0.6786177 -0.2810712 -0.6785846 -0.2810793 -0.678609 -0.6785899 0.2810866 -0.6786075 -0.6785885 -0.6786043 -0.2810917 -0.6785895 -0.281085 -0.6786016 -0.678595 -0.6786015 -0.2810698 -0.6786015 -0.6785975 0.2810889 -0.6785975 0.9238899 -0.3826585 0 0.7071074 0.7071062 0 0.821214 0.3401319 -0.458168 0.3401563 -0.8212152 -0.4581478 -0.3826823 -0.9238801 0 0.7071074 -0.7071062 0 -0.8212133 -0.3401382 -0.4581643 -0.7071061 -0.7071076 0 -0.9238873 0.3826647 0 -0.6786149 0.2810754 -0.6785856 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071061 0.7071076 0 -0.3401574 0.8212157 -0.4581461 0 0 -1 -0.7070932 0.7071204 0 -0.7070932 -0.7071204 0 -0.7070932 -0.7071204 0 0.7070947 0.7071188 0 -0.7070932 0.7071204 0 0.7070947 -0.7071188 0 0.7070947 0.7071188 0 0.7070947 -0.7071188 0 0.3826814 0.9238804 0 0 0 -1 0 0 -1 -0.2810781 0.6786062 -0.6785933 0.2810789 0.678609 -0.67859 -0.2810873 0.6786074 -0.6785883 0.2810844 0.678602 -0.6785947 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9238826 0.3826762 0 0 0 1 0 0 1 -0.9238826 -0.3826762 -1.3903e-4 0 0 1 0 0 1 -0.9238772 -0.3826888 0 0 0 1 -0.3827086 0.9238691 4.04343e-4 -0.9238774 0.3826886 -1.3666e-4 0.3827086 0.9238691 1.83562e-4 -0.3826886 0.9238774 1.83452e-4 0 0 1 0.9238826 0.3826762 -1.4239e-4 0 0 1 0.3826888 0.9238772 4.02059e-4 0 0 1 0.9238826 -0.3826762 0 0 0 1 0 0 1 0 0 1 0.9238771 0.3826891 0 0 0 1 0.3827086 -0.9238691 3.96231e-4 0.9238771 -0.3826893 -1.44583e-4 -0.3827086 -0.9238691 1.83562e-4 0.3826893 -0.9238771 1.83699e-4 0 0 1 -0.3826891 -0.9238771 3.98593e-4 1 0 0 0.4999964 -0.8660275 0 1 0 0 0.4999974 0.8660269 0 0.4999974 0.8660269 0 -0.499998 0.8660265 0 -0.499998 0.8660265 0 -1 0 0 -1 0 0 -0.499997 -0.8660272 0 -0.499997 -0.8660272 0 0.4999964 -0.8660275 0 0.6785956 -0.2810886 -0.6785994 0.6786029 0.2810536 -0.6786067 0.678608 0.2810935 -0.678585 0.2810937 -0.678608 -0.6785851 0.6786274 -0.2810641 -0.6785779 -0.2810884 -0.6785957 -0.6785995 0.2810539 -0.6786028 -0.6786066 -0.6786082 -0.2810933 -0.678585 -0.2810637 -0.6786276 -0.6785778 -0.6786031 -0.281054 -0.6786063 -0.678596 0.2810881 -0.6785992 0.9238952 -0.3826456 0 0.7071071 0.7071065 0 0.8212128 0.3401176 -0.4581804 0.3401181 -0.8212129 -0.4581803 -0.3826451 -0.9238954 0 0.7071068 -0.7071068 0 -0.8212126 -0.340118 -0.4581809 -0.7071065 -0.7071071 0 -0.9238954 0.3826451 0 -0.6786276 0.2810637 -0.6785778 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071068 0.7071068 0 -0.3401175 0.8212127 -0.4581811 0 0 -1 -0.7071068 0.7071068 0 -0.7071064 -0.7071072 0 -0.7071064 -0.7071072 0 0.7071072 0.7071064 0 -0.7071068 0.7071068 0 0.7071068 -0.7071068 0 0.7071072 0.7071064 0 0.7071068 -0.7071068 0 0.3826456 0.9238952 0 0 0 -1 0 0 -1 -0.2810931 0.6786082 -0.6785849 0.2810883 0.678596 -0.6785992 -0.2810537 0.6786032 -0.6786063 0.2810641 0.6786274 -0.6785779 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0.3780008 -0.6547331 -0.6545532 0 0 -1 -0.3780295 -0.6547765 -0.6544933 0 0 -1 -0.3780066 -0.6547314 -0.6545516 0 0 -1 0.7556311 0 -0.6549975 0.3780294 -0.6547768 -0.6544932 0 0 -1 0.378027 0.6547784 -0.6544928 0 0 -1 0 0 -1 0.7556311 0 -0.6549975 0 0 -1 -0.3780051 0.6547341 -0.6545497 0 0 -1 0.3780047 0.6547343 -0.6545497 0 0 -1 -0.7556311 0 -0.6549975 -0.3780317 0.6547749 -0.6544937 0 0 -1 0 0 -1 -0.7556311 0 -0.6549975 0.3780307 0.6547252 -0.6545438 -0.3781493 0.6549395 -0.6542609 -0.3780066 0.6547321 -0.6545509 0.755854 0 -0.6547403 0.378138 0.6549504 -0.6542565 0.3781765 -0.654966 -0.6542187 0.755854 0 -0.6547403 -0.3779842 -0.654642 -0.6546542 0.3779585 -0.6546493 -0.6546615 -0.755854 0 -0.6547403 -0.3781506 -0.6549913 -0.6542083 -0.755854 0 -0.6547403 0.4999938 -0.866029 0 -0.4999973 -0.8660269 0 -0.4999973 -0.8660269 0 1 0 0 0.4999938 -0.866029 0 0.4999938 0.866029 0 1 0 0 0.4999938 0.866029 0 -0.4999973 0.8660271 0 0.3779588 -0.6546546 0.6546561 -0.377959 -0.6546545 0.654656 -0.3779867 -0.6546967 0.6545978 0.7555412 0 0.6551011 0.3779824 -0.6547011 0.654596 0.3779842 0.6546987 0.6545972 0.7555412 0 0.6551011 0.3779572 0.6546575 0.6546541 -0.3779629 0.6546557 0.6546527 -0.4999973 0.8660271 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3779845 0.6546984 0.6545974 0 0 1 0 0 1 -0.7555412 0 0.6551011 0 0 1 0 0 1 -0.7555413 0 0.6551011 -0.3779814 0.6546488 0.6546488 0.3781077 0.6548586 0.6543659 0.3779664 0.6546531 0.6546531 -0.7557642 0 0.6548439 -0.3780897 0.6548761 0.654359 -0.3781283 -0.6548916 0.654321 -0.7557642 0 0.6548439 0.3779437 -0.6545629 0.6547565 -0.377909 -0.6545729 0.6547665 0.7557642 0 0.6548439 0.3781093 -0.6549104 0.6543132 0.7557642 0 0.6548439 -1 0 0 -1 0 0 -0.4999912 -0.8660305 0 0.4999966 -0.8660274 0 0.4999966 -0.8660274 0 -1 0 0 -0.4999912 -0.8660305 0 -0.4999969 0.8660273 0 -1 0 0 -0.4999969 0.8660273 0 0.5000022 0.8660242 0 0.5000022 0.8660242 0 1 0 0 1 0 0 0 0 1 0.3779613 0.6546645 0.6546447 0 0 1 -0.3779886 0.6547057 0.6545878 0 0 1 -0.377967 0.6546629 0.6546431 0 0 1 0.7555496 0 0.6550915 0.3779885 0.6547062 0.6545872 0 0 1 0.3779865 -0.6547082 0.6545865 0 0 1 0 0 1 0.7555495 0 0.6550915 0 0 1 -0.3779633 -0.6546617 0.6546465 0 0 1 0.3779627 -0.6546614 0.6546469 0 0 1 -0.7555496 0 0.6550915 -0.3779908 -0.6547039 0.6545882 0 0 1 0 0 1 -0.7555495 0 0.6550915 0.3779478 -0.6545701 0.6547469 -0.3781325 -0.6548988 0.6543115 -0.3779132 -0.6545802 0.6547568 0.7557725 0 0.6548344 0.3781133 -0.6549175 0.6543036 0.3781119 0.6548658 0.6543563 0.7557725 0 0.6548343 -0.3779856 0.654656 0.6546393 0.3779705 0.6546603 0.6546435 -0.7557725 0 0.6548344 -0.3780938 0.6548832 0.6543493 -0.7557725 0 0.6548343 0.4999938 0.866029 0 -0.4999973 0.8660271 0 -0.4999973 0.8660271 0 1 0 0 0.4999938 0.866029 0 0.4999939 -0.8660289 0 1 0 0 0.4999939 -0.8660289 0 -0.4999974 -0.8660269 0 0.3780077 0.6547394 -0.6545429 -0.3780081 0.6547394 -0.6545428 -0.3780347 0.6547802 -0.6544867 0.7556371 0 -0.6549906 0.3780303 0.654784 -0.6544853 0.3780323 -0.6547819 -0.6544862 0.7556371 0 -0.6549906 0.3780039 -0.6547384 -0.6545462 -0.3780097 -0.6547367 -0.6545447 -0.4999974 -0.8660269 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3780325 -0.6547817 -0.6544862 0 0 -1 0 0 -1 -0.7556371 0 -0.6549906 0 0 -1 0 0 -1 -0.7556371 0 -0.6549906 -0.3779872 -0.6546472 -0.6546472 0.3781794 -0.6549713 -0.6542117 0.3779615 -0.6546545 -0.6546545 -0.75586 0 -0.6547333 -0.3781535 -0.6549963 -0.6542016 -0.3781523 0.6549448 -0.654254 -0.75586 0 -0.6547333 0.3780337 0.6547304 -0.6545369 -0.3780096 0.6547374 -0.6545439 0.75586 0 -0.6547333 0.378141 0.6549556 -0.6542496 0.75586 0 -0.6547334 -1 0 0 -1 0 0 -0.4999969 0.8660272 0 0.5000022 0.8660241 0 0.5000022 0.8660241 0 -1 0 0 -0.4999969 0.8660272 0 -0.4999912 -0.8660305 0 -1 0 0 -0.4999912 -0.8660305 0 0.4999966 -0.8660273 0 0.4999966 -0.8660273 0 1 0 0 1 0 0 1 0 0 0 0.9238802 -0.3826817 1 0 0 1 0 0 0 0.9238774 0.3826888 1 0 0 1 0 0 0 0.9238774 0.3826888 1 0 0 0 0.3826721 -0.9238843 0 0.9238802 -0.3826817 0 -0.3826732 -0.9238837 0 0.3826721 -0.9238843 1 0 0 0 -0.9238801 -0.382682 1 0 0 0 -0.3826732 -0.9238837 1 0 0 0 -0.9238771 0.382689 1 0 0 1 0 0 1 0 0 0 -0.9238801 -0.382682 1 0 0 0 -0.3826903 0.9238768 0 -0.9238771 0.382689 0 0.3826892 0.9238771 0 -0.3826903 0.9238768 1 0 0 0 0.3826892 0.9238771 0 -1 0 0 -0.499992 0.8660301 0 -1 0 0 -0.499961 -0.866048 0 -0.499961 -0.866048 0 0.4999816 -0.8660361 0 0.4999816 -0.8660361 0 1 0 0 1 0 0 0.5000126 0.8660182 0 0.5000126 0.8660182 0 -0.499992 0.8660301 -0.6786022 -0.6785933 0.2810874 -0.6786029 -0.6785941 -0.2810839 -0.6786043 -0.6785938 -0.2810815 -0.6786055 -0.2810872 0.6785902 -0.6786071 -0.6785863 0.2810929 -0.6786022 0.2810876 0.6785933 -0.6786003 -0.2810969 0.6785915 -0.6785944 0.6786001 0.28109 -0.6786001 0.2810852 0.6785964 -0.6785908 0.6786009 0.2810965 -0.6785932 0.6786033 -0.2810852 0 -0.9238731 0.3826988 0 -0.7071068 -0.7071068 -0.4581591 -0.8212085 -0.3401569 -0.4581465 -0.340174 0.8212085 -2.62238e-5 0.3826851 0.9238789 -2.00604e-5 -0.707098 0.7071157 -0.4581746 0.821197 0.340164 0 0.7070866 0.707127 0 0.9238802 -0.3826817 -0.6785932 0.6786033 -0.2810853 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.00712e-5 0.7070955 -0.7071181 -0.4581748 0.3401486 -0.8212032 -1 0 0 0 0.7071055 -0.707108 0 0.7070949 0.7071188 0 0.7070949 0.7071188 0 -0.7071196 -0.707094 0 0.7071055 -0.707108 0 -0.7071087 0.7071048 0 -0.7071196 -0.707094 0 -0.7071087 0.7071048 -2.62237e-5 -0.3826947 -0.9238749 -1 0 0 -1 0 0 -0.6785981 0.2810765 -0.6786021 -0.6785956 -0.2810781 -0.6786038 -0.6785947 0.2810826 -0.6786029 -0.6786062 -0.2810901 -0.6785882 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.923887 -0.3826653 1 0 0 1 0 0 0 0.9238842 0.3826725 1 0 0 1 0 0 0 0.9238842 0.3826725 1 0 0 0 0.3826658 -0.9238868 0 0.923887 -0.3826653 0 -0.3826722 -0.9238843 0 0.3826658 -0.9238868 1 0 0 0 -0.9238802 -0.3826817 1 0 0 0 -0.3826722 -0.9238843 1 0 0 0 -0.9238774 0.3826888 1 0 0 1 0 0 1 0 0 0 -0.9238802 -0.3826817 1 0 0 0 -0.3826893 0.9238771 0 -0.9238774 0.3826888 0 0.3826829 0.9238798 0 -0.3826893 0.9238771 1 0 0 0 0.3826829 0.9238798 0 -1 0 0 -0.4999921 0.86603 0 -1 0 0 -0.4999611 -0.8660479 0 -0.4999611 -0.8660479 0 0.4999791 -0.8660375 0 0.4999791 -0.8660375 0 1 0 0 1 0 0 0.5000101 0.8660196 0 0.5000101 0.8660196 0 -0.4999921 0.86603 -0.6786029 -0.6785928 0.281087 -0.6786041 -0.6785941 -0.2810809 -0.6786039 -0.6785941 -0.2810814 -0.6786052 -0.2810865 0.6785907 -0.6786062 -0.678588 0.2810907 -0.6786032 0.2810825 0.6785944 -0.6786006 -0.281095 0.6785918 -0.6786018 0.6785987 0.2810753 -0.6786043 0.2810838 0.6785928 -0.6785901 0.6786015 0.2810969 -0.6785951 0.6786065 -0.2810724 0 -0.9238746 0.3826954 0 -0.7071061 -0.7071074 -0.4581634 -0.8212077 -0.340153 -0.4581482 -0.3401716 0.8212085 -2.62238e-5 0.3826851 0.9238788 -2.00604e-5 -0.7070973 0.7071164 -0.4581743 0.821197 0.3401643 0 0.7070866 0.707127 0 0.9238802 -0.382682 -0.6786034 0.6785945 -0.2810818 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.00712e-5 0.7070955 -0.7071181 -0.4581747 0.3401487 -0.8212032 -1 0 0 0 0.7071057 -0.7071079 0 0.7070949 0.7071186 0 0.7070949 0.7071186 0 -0.7071182 -0.7070953 0 0.7071057 -0.7071079 0 -0.7071075 0.7071061 0 -0.7071182 -0.7070953 0 -0.7071075 0.7071061 -2.62238e-5 -0.3826925 -0.9238758 -1 0 0 -1 0 0 -0.6786012 0.2810707 -0.6786014 -0.6785959 -0.2810773 -0.678604 -0.6785947 0.2810826 -0.6786029 -0.6786058 -0.2810887 -0.6785893 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.9238772 -0.3826887 1 0 0 1 0 0 0 -0.3826886 -0.9238774 1 0 0 1 0 0 0 -0.3826886 -0.9238774 1 0 0 0 -0.923877 0.3826898 0 -0.9238772 -0.3826887 0 -0.3826889 0.9238774 0 -0.923877 0.3826898 1 0 0 0 0.382689 0.9238771 1 0 0 0 -0.3826889 0.9238774 1 0 0 0 0.9238768 0.3826903 1 0 0 1 0 0 1 0 0 0 0.382689 0.9238771 1 0 0 0 0.9238771 -0.3826892 0 0.9238768 0.3826903 0 0.3826888 -0.9238774 0 0.9238771 -0.3826892 1 0 0 0 0.3826888 -0.9238774 0 0.7071065 0.7071071 0 0.965932 -0.2587962 0 0.7071065 0.7071071 0 -0.2588451 0.9659188 0 -0.2588451 0.9659188 0 -0.9659192 0.2588437 0 -0.9659192 0.2588437 0 -0.7071272 -0.7070865 0 -0.7071272 -0.7070865 0 0.2588396 -0.9659203 0 0.2588396 -0.9659203 0 0.965932 -0.2587962 -0.6785945 0.6785994 0.281091 -0.6786002 0.2810852 0.6785963 -0.6786022 0.2810874 0.6785933 -0.678593 0.6786012 -0.2810908 -0.6785919 0.6786001 0.281096 -0.6785899 0.2810916 -0.678604 -0.6785883 0.678608 -0.2810855 -0.678592 -0.2810907 -0.6786022 -0.6785932 0.2810856 -0.6786032 -0.6785957 -0.2810948 -0.6785968 -0.678601 -0.6785944 -0.2810876 0 0.9238744 0.3826957 0 0 1 -0.4581661 0.340156 0.8212051 -0.45816 0.8212099 -0.3401526 -3.66764e-5 0.3826822 -0.92388 -2.83851e-5 1 -2.1074e-5 -0.4581869 -0.3401615 -0.8211911 0 2.07446e-5 -1 0 -0.9238789 -0.3826851 -0.6786029 -0.6785941 -0.2810842 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -0.45818 -0.8211926 0.3401674 -1 0 0 0 -1 0 0 0 -1 0 0 -1 0 0 1 0 -1 0 0 1 0 0 0 1 0 1 0 0 -0.3826988 0.9238731 -1 0 0 -1 0 0 -0.678602 -0.6785932 0.2810879 -0.6786056 -0.2810861 0.6785907 -0.6786077 -0.6785851 0.2810943 -0.6786006 -0.2810952 0.6785918 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3826888 0.9238774 1 0 0 1 0 0 0 -0.9238774 0.3826886 1 0 0 1 0 0 0 -0.9238774 0.3826886 1 0 0 0 0.3826824 0.9238799 0 -0.3826888 0.9238774 0 0.9238841 0.3826722 0 0.3826824 0.9238799 1 0 0 0 0.9238842 -0.3826725 1 0 0 0 0.9238841 0.3826722 1 0 0 0 0.3826829 -0.9238798 1 0 0 1 0 0 1 0 0 0 0.9238842 -0.3826725 1 0 0 0 -0.3826893 -0.9238771 0 0.3826829 -0.9238798 0 -0.9238774 -0.3826888 0 -0.3826893 -0.9238771 1 0 0 0 -0.9238774 -0.3826888 0 0.7071066 -0.7071069 0 -0.2587949 -0.9659324 0 0.7071066 -0.7071069 0 0.9659291 0.2588069 0 0.9659291 0.2588069 0 0.2588333 0.9659219 0 0.2588333 0.9659219 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 -0.9659319 -0.2587962 0 -0.9659319 -0.2587962 0 -0.2587949 -0.9659324 -0.678593 0.2810861 -0.678603 -0.6785989 0.6785981 -0.2810837 -0.6785941 0.6786054 -0.2810781 -0.6785929 -0.2810909 -0.6786011 -0.6785945 0.2810834 -0.6786026 -0.6786006 -0.6785948 -0.2810878 -0.678595 -0.2810932 -0.6785982 -0.6786029 -0.6785929 0.2810868 -0.6786041 -0.678594 -0.2810813 -0.6786063 -0.6785879 0.2810906 -0.6786055 -0.281086 0.6785906 0 0.38268 -0.923881 0 1 2.07442e-5 -0.4581818 0.8211986 -0.3401506 -0.4581741 -0.3401619 -0.8211981 -1.08622e-5 -0.9238803 -0.3826817 -2.83845e-5 -2.10735e-5 -1 -0.4581683 -0.8212002 0.3401647 0 -1 0 0 -0.3826987 0.9238732 -0.6786006 -0.281095 0.6785918 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 -0.4581662 0.340156 0.821205 -1 0 0 0 0 1 0 -1 0 0 -1 0 0 1 0 0 0 1 0 0 -1 0 1 0 0 0 -1 -2.5814e-5 0.9238742 0.3826962 -1 0 0 -1 0 0 -0.6786032 0.2810822 0.6785944 -0.6786019 0.6785987 0.2810751 -0.6786047 0.2810837 0.6785925 -0.6785901 0.6786015 0.2810969 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.9238843 0.3826722 1 0 0 1 0 0 0 0.3826817 0.9238802 1 0 0 1 0 0 0 0.3826817 0.9238802 1 0 0 0 0.9238868 -0.3826658 0 0.9238843 0.3826722 0 0.3826653 -0.923887 0 0.9238868 -0.3826658 1 0 0 0 -0.3826725 -0.9238842 1 0 0 0 0.3826653 -0.923887 1 0 0 0 -0.9238798 -0.3826829 1 0 0 1 0 0 1 0 0 0 -0.3826725 -0.9238842 1 0 0 0 -0.9238771 0.3826893 0 -0.9238798 -0.3826829 0 -0.3826888 0.9238774 0 -0.9238771 0.3826893 1 0 0 0 -0.3826888 0.9238774 0 -0.7071069 -0.7071066 0 -0.9659324 0.2587949 0 -0.7071069 -0.7071066 0 0.2587966 -0.9659318 0 0.2587966 -0.9659318 0 0.9659307 -0.2588008 0 0.9659307 -0.2588008 0 0.7071068 0.7071068 0 0.7071068 0.7071068 0 -0.2587947 0.9659324 0 -0.2587947 0.9659324 0 -0.9659324 0.2587949 -0.6786039 -0.6785936 -0.2810823 -0.6786058 -0.2810915 -0.6785882 -0.6785941 -0.2810781 -0.6786054 -0.6786022 -0.6785933 0.2810876 -0.6786029 -0.678594 -0.2810843 -0.6786051 -0.2810862 0.678591 -0.6786068 -0.6785866 0.2810929 -0.6786041 0.2810813 0.678594 -0.6786019 -0.2810922 0.6785917 -0.6786039 0.2810811 0.6785944 -0.6786025 0.6785983 0.281075 0 -0.9238788 -0.3826851 0 2.07446e-5 -1 -0.4581872 -0.3401618 -0.8211909 -0.4581791 -0.8211939 0.3401656 0 -0.3826954 0.9238746 0 -1 0 -0.4581627 0.3401532 0.8212081 0 0 1 0 0.9238758 0.3826925 -0.6785924 0.6786006 0.2810934 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.92721e-5 1 -2.17325e-5 -0.4581604 0.8212101 -0.3401517 -1 0 0 0 1 0 0 0 1 0 0 1 0 0 -1 0 1 0 0 -1 0 0 0 -1 0 -1 0 -3.70158e-5 0.382682 -0.9238802 -1 0 0 -1 0 0 -0.6785969 0.678605 -0.2810722 -0.6786007 0.2810705 -0.6786019 -0.6786032 0.6785955 -0.2810796 -0.6785924 0.2810857 -0.6786038 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.7071071 0.7071065 0 0.2587962 0.965932 0 -0.7071071 0.7071065 0 -0.9659216 -0.2588348 0 -0.9659216 -0.2588348 0 -0.2588112 -0.9659279 0 -0.2588112 -0.9659279 0 0.7070865 -0.7071272 0 0.7070865 -0.7071272 0 0.9659207 0.2588379 0 0.9659207 0.2588379 0 0.2587962 0.965932 0 -0.382701 0.9238723 0 -1 0 -0.4581715 -0.8211974 0.3401671 -0.4581649 0.3401562 0.8212056 -2.5814e-5 0.9238743 0.3826959 0 0 1 -0.4581813 0.8211989 -0.34015 0 1 2.07442e-5 0 0.3826788 -0.9238815 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.92715e-5 -2.17321e-5 -1 -0.4581741 -0.3401629 -0.8211976 -1 0 0 0 0 -1 0 1 0 0 1 0 0 -1 0 0 0 -1 0 0 1 0 -1 0 0 0 1 -1.12018e-5 -0.923879 -0.3826846 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 -0.4999936 0.8660292 0 -1 0 0 -0.4999921 -0.86603 0 -0.4999921 -0.86603 0 0.50001 -0.8660196 0 0.50001 -0.8660196 0 1 0 0 1 0 0 0.5000114 0.8660187 0 0.5000114 0.8660187 0 -0.4999936 0.8660292 0 -0.9238723 0.382701 0 -0.7071058 -0.7071078 -0.4581611 -0.8212074 -0.3401569 -0.4581445 -0.3401725 0.8212103 -2.62238e-5 0.3826851 0.9238789 -2.00604e-5 -0.7070947 0.707119 -0.4581747 0.8211971 0.3401638 0 0.7070857 0.7071278 0 0.923881 -0.3826799 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.0228e-5 0.7070969 -0.7071166 -0.4581735 0.340152 -0.8212025 -1 0 0 0 0.707108 -0.7071055 0 0.707094 0.7071196 0 0.707094 0.7071196 0 -0.7071188 -0.7070949 0 0.707108 -0.7071055 0 -0.7071048 0.7071087 0 -0.7071188 -0.7070949 0 -0.7071048 0.7071087 -2.64286e-5 -0.3826959 -0.9238743 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.9238798 -0.3826829 1 0 0 1 0 0 0 0.9238771 0.3826893 1 0 0 1 0 0 0 0.9238771 0.3826893 1 0 0 0 0.3826725 -0.9238842 0 0.9238798 -0.3826829 0 -0.3826722 -0.9238841 0 0.3826725 -0.9238842 1 0 0 0 -0.9238799 -0.3826824 1 0 0 0 -0.3826722 -0.9238841 1 0 0 0 -0.9238774 0.3826888 1 0 0 1 0 0 1 0 0 0 -0.9238799 -0.3826824 1 0 0 0 -0.3826886 0.9238774 0 -0.9238774 0.3826888 0 0.3826888 0.9238774 0 -0.3826886 0.9238774 1 0 0 0 0.3826888 0.9238774 0 -1 0 0 -0.4999936 0.8660292 0 -1 0 0 -0.4999623 -0.8660471 0 -0.4999623 -0.8660471 0 0.4999802 -0.8660368 0 0.4999802 -0.8660368 0 1 0 0 1 0 0 0.5000114 0.8660187 0 0.5000114 0.8660187 0 -0.4999936 0.8660292 -0.6786023 -0.6785934 0.2810872 -0.6786029 -0.678594 -0.2810843 -0.6786042 -0.6785936 -0.2810818 -0.6786051 -0.281086 0.6785909 -0.6786071 -0.6785861 0.2810927 -0.6786029 0.281087 0.6785928 -0.6786019 -0.2810922 0.6785917 -0.6785943 0.6786 0.2810904 -0.6785994 0.2810829 0.678598 -0.6785923 0.6786004 0.2810942 -0.678594 0.6786022 -0.2810858 0 -0.9238732 0.3826987 0 -0.7071057 -0.7071079 -0.4581611 -0.8212074 -0.340157 -0.4581488 -0.3401686 0.8212095 -2.6019e-5 0.3826817 0.9238803 -1.99072e-5 -0.7070953 0.7071182 -0.4581762 0.8211971 0.3401615 0 0.7070865 0.7071271 0 0.923881 -0.38268 -0.6785925 0.6786043 -0.2810841 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.03848e-5 0.7070968 -0.7071167 -0.4581733 0.3401523 -0.8212026 -1 0 0 0 0.7071079 -0.7071057 0 0.7070953 0.7071182 0 0.7070953 0.7071182 0 -0.7071186 -0.7070949 0 0.7071079 -0.7071057 0 -0.7071061 0.7071075 0 -0.7071186 -0.7070949 0 -0.7071061 0.7071075 -2.66335e-5 -0.3826962 -0.9238742 -1 0 0 -1 0 0 -0.6785973 0.281077 -0.6786026 -0.6785941 -0.2810779 -0.6786054 -0.6785924 0.281086 -0.6786038 -0.6786059 -0.2810914 -0.6785881 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 -0.4999979 0.8660266 0 -1 0 0 -0.4999979 -0.8660266 0 -0.4999979 -0.8660266 0 0.5000159 -0.8660162 0 0.5000159 -0.8660162 0 1 0 0 1 0 0 0.5000159 0.8660162 0 0.5000159 0.8660162 0 -0.4999979 0.8660266 0 -0.9238746 0.3826954 0 -0.7071061 -0.7071074 -0.458163 -0.8212078 -0.3401536 -0.4581482 -0.3401716 0.8212085 -2.62238e-5 0.3826851 0.9238788 -2.00604e-5 -0.7070973 0.7071164 -0.4581743 0.821197 0.3401643 0 0.7070866 0.707127 0 0.92388 -0.3826825 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.00712e-5 0.7070955 -0.7071181 -0.4581738 0.3401499 -0.8212033 -1 0 0 0 0.7071057 -0.7071079 0 0.7070949 0.7071186 0 0.7070949 0.7071186 0 -0.7071182 -0.7070953 0 0.7071057 -0.7071079 0 -0.7071075 0.7071061 0 -0.7071182 -0.7070953 0 -0.7071075 0.7071061 -2.62237e-5 -0.3826935 -0.9238753 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.9238774 -0.3826888 1 0 0 1 0 0 0 0.9238774 0.3826886 1 0 0 1 0 0 0 0.9238774 0.3826886 1 0 0 0 0.3826892 -0.9238771 0 0.9238774 -0.3826888 0 -0.3826903 -0.9238768 0 0.3826892 -0.9238771 1 0 0 0 -0.9238771 -0.382689 1 0 0 0 -0.3826903 -0.9238768 1 0 0 0 -0.9238774 0.3826889 1 0 0 1 0 0 1 0 0 0 -0.9238771 -0.382689 1 0 0 0 -0.3826898 0.923877 0 -0.9238774 0.3826889 0 0.3826887 0.9238772 0 -0.3826898 0.923877 1 0 0 0 0.3826887 0.9238772 0 -1 0 0 -0.4999977 0.8660267 0 -1 0 0 -0.4999977 -0.8660267 0 -0.4999977 -0.8660267 0 0.5000184 -0.8660148 0 0.5000184 -0.8660148 0 1 0 0 1 0 0 0.5000184 0.8660148 0 0.5000184 0.8660148 0 -0.4999977 0.8660267 -0.6786023 -0.6785935 0.2810873 -0.6786029 -0.6785941 -0.2810842 -0.6786009 -0.6785945 -0.2810879 -0.6786057 -0.2810867 0.6785901 -0.6786071 -0.6785861 0.2810928 -0.6786023 0.2810872 0.6785933 -0.6786003 -0.2810969 0.6785915 -0.6785944 0.6786001 0.2810898 -0.6786004 0.2810851 0.6785961 -0.6785908 0.6786009 0.2810965 -0.678592 0.6786022 -0.2810909 0 -0.9238731 0.3826988 0 -0.7071068 -0.7071068 -0.4581587 -0.8212086 -0.3401575 -0.4581465 -0.340174 0.8212085 -2.62238e-5 0.3826851 0.9238789 -2.00604e-5 -0.707098 0.7071157 -0.4581746 0.821197 0.340164 0 0.7070866 0.707127 0 0.92388 -0.3826822 -0.6785888 0.6786069 -0.2810871 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.00712e-5 0.7070955 -0.7071181 -0.4581739 0.3401498 -0.8212033 -1 0 0 0 0.7071055 -0.707108 0 0.7070949 0.7071188 0 0.7070949 0.7071188 0 -0.7071196 -0.707094 0 0.7071055 -0.707108 0 -0.7071087 0.7071048 0 -0.7071196 -0.707094 0 -0.7071087 0.7071048 -2.62237e-5 -0.3826957 -0.9238744 -1 0 0 -1 0 0 -0.6785899 0.2810919 -0.6786038 -0.6785928 -0.2810916 -0.678601 -0.6785945 0.2810834 -0.6786027 -0.6785955 -0.2810947 -0.678597 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 -0.9238843 0.3826721 0 0 0 1 0 0 1 -0.9238843 -0.3826719 0 0 0 1 0 0 1 -0.9238843 -0.3826719 0 0 0 1 -0.3826894 0.9238771 0 -0.9238843 0.3826721 0 0.3826894 0.9238771 0 -0.3826894 0.9238771 0 0 0 1 0.9238843 0.3826721 0 0 0 1 0.3826894 0.9238771 0 0 0 1 0.9238843 -0.3826719 0 0 0 1 0 0 1 0 0 1 0.9238843 0.3826721 0 0 0 1 0.3826888 -0.9238773 0 0.9238843 -0.3826719 0 -0.3826888 -0.9238773 0 0.3826888 -0.9238773 0 0 0 1 -0.3826888 -0.9238773 0 1 0 0 0.5000101 -0.8660196 0 1 0 0 0.5000159 0.8660162 0 0.5000159 0.8660162 0 -0.5000159 0.8660162 0 -0.5000159 0.8660162 0 -1 0 0 -1 0 0 -0.5000101 -0.8660196 0 -0.5000101 -0.8660196 0 0.5000101 -0.8660196 0 0.6786009 -0.2810758 -0.6785995 0.6785992 0.281084 -0.6785979 0.6785979 0.2810748 -0.6786028 0.2810845 -0.6785868 -0.67861 0.6785836 -0.281089 -0.6786112 -0.2810857 -0.6785897 -0.6786067 0.2810937 -0.6785879 -0.678605 -0.6785942 -0.281073 -0.6786073 -0.2810913 -0.6785823 -0.6786116 -0.6785969 -0.2810945 -0.6785957 -0.6786009 0.281076 -0.6785995 0.9238745 -0.3826956 0 0.7071059 0.7071077 0 0.8212151 0.3401572 -0.4581473 0.3401749 -0.8212156 -0.4581332 -0.382699 -0.9238731 -2.7042e-5 0.7070973 -0.7071163 -2.0672e-5 -0.8212132 -0.3401703 -0.4581409 -0.7070973 -0.7071163 0 -0.9238801 0.3826823 0 -0.6785935 0.2810816 -0.6786045 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071059 0.7071077 -2.06972e-5 -0.3401663 0.8212081 -0.458153 0 0 -1 -0.7071185 0.7070951 0 -0.7071081 -0.7071054 0 -0.7071081 -0.7071054 0 0.7071185 0.7070951 0 -0.7071185 0.7070951 0 0.7071081 -0.7071054 0 0.7071185 0.7070951 0 0.7071081 -0.7071054 0 0.3826938 0.9238752 -2.70421e-5 0 0 -1 0 0 -1 -0.2810887 0.6785959 -0.6785992 0.2810892 0.6785971 -0.6785978 -0.2810928 0.6785964 -0.678597 0.2810917 0.6785939 -0.6786 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3826721 -0.9238843 0 0 0 1 0 0 1 0.3826719 -0.9238843 0 0 0 1 0 0 1 0.3826719 -0.9238843 0 0 0 1 -0.9238771 -0.3826894 0 -0.3826721 -0.9238843 0 -0.9238771 0.3826894 0 -0.9238771 -0.3826894 0 0 0 1 -0.3826721 0.9238843 0 0 0 1 -0.9238771 0.3826894 0 0 0 1 0.3826719 0.9238843 0 0 0 1 0 0 1 0 0 1 -0.3826721 0.9238843 0 0 0 1 0.9238773 0.3826888 0 0.3826719 0.9238843 0 0.9238773 -0.3826888 0 0.9238773 0.3826888 0 0 0 1 0.9238773 -0.3826888 0 0 1 0 0.8660196 0.5000101 0 0 1 0 -0.8660162 0.5000159 0 -0.8660162 0.5000159 0 -0.8660162 -0.5000159 0 -0.8660162 -0.5000159 0 0 -1 0 0 -1 0 0.8660196 -0.5000101 0 0.8660196 -0.5000101 0 0.8660196 0.5000101 0 0.2810758 0.6786009 -0.6785995 -0.281084 0.6785992 -0.6785979 -0.2810748 0.6785979 -0.6786028 0.6785868 0.2810845 -0.67861 0.281089 0.6785836 -0.6786112 0.6785897 -0.2810857 -0.6786067 0.6785879 0.2810937 -0.678605 0.281073 -0.6785942 -0.6786073 0.6785823 -0.2810913 -0.6786116 0.2810945 -0.6785969 -0.6785957 -0.281076 -0.6786009 -0.6785995 0.3826956 0.9238745 0 -0.7071077 0.7071059 0 -0.3401572 0.8212151 -0.4581473 0.8212156 0.3401749 -0.4581332 0.9238731 -0.382699 -2.7042e-5 0.7071163 0.7070973 -2.0672e-5 0.3401703 -0.8212132 -0.4581409 0.7071163 -0.7070973 0 -0.3826823 -0.9238801 0 -0.2810816 -0.6785935 -0.6786045 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7071077 -0.7071059 -2.06972e-5 -0.8212081 -0.3401663 -0.458153 0 0 -1 -0.7070951 -0.7071185 0 0.7071054 -0.7071081 0 0.7071054 -0.7071081 0 -0.7070951 0.7071185 0 -0.7070951 -0.7071185 0 0.7071054 0.7071081 0 -0.7070951 0.7071185 0 0.7071054 0.7071081 0 -0.9238752 0.3826938 -2.70421e-5 0 0 -1 0 0 -1 -0.6785959 -0.2810887 -0.6785992 -0.6785971 0.2810892 -0.6785978 -0.6785964 -0.2810928 -0.678597 -0.6785939 0.2810917 -0.6786 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9238843 -0.3826721 0 0 0 1 0 0 1 0.9238843 0.3826719 0 0 0 1 0 0 1 0.9238843 0.3826719 0 0 0 1 0.3826894 -0.9238771 0 0.9238843 -0.3826721 0 -0.3826894 -0.9238771 0 0.3826894 -0.9238771 0 0 0 1 -0.9238843 -0.3826721 0 0 0 1 -0.3826894 -0.9238771 0 0 0 1 -0.9238843 0.3826719 0 0 0 1 0 0 1 0 0 1 -0.9238843 -0.3826721 0 0 0 1 -0.3826888 0.9238773 0 -0.9238843 0.3826719 0 0.3826888 0.9238773 0 -0.3826888 0.9238773 0 0 0 1 0.3826888 0.9238773 0 -1 0 0 -0.5000101 0.8660196 0 -1 0 0 -0.5000159 -0.8660162 0 -0.5000159 -0.8660162 0 0.5000159 -0.8660162 0 0.5000159 -0.8660162 0 1 0 0 1 0 0 0.5000101 0.8660196 0 0.5000101 0.8660196 0 -0.5000101 0.8660196 0 -0.6786009 0.2810758 -0.6785995 -0.6785992 -0.281084 -0.6785979 -0.6785979 -0.2810748 -0.6786028 -0.2810845 0.6785868 -0.67861 -0.6785836 0.281089 -0.6786112 0.2810857 0.6785897 -0.6786067 -0.2810937 0.6785879 -0.678605 0.6785942 0.281073 -0.6786073 0.2810913 0.6785823 -0.6786116 0.6785969 0.2810945 -0.6785957 0.6786009 -0.281076 -0.6785995 -0.9238745 0.3826956 0 -0.7071059 -0.7071077 0 -0.8212151 -0.3401572 -0.4581473 -0.3401749 0.8212156 -0.4581332 0.382699 0.9238731 -2.7042e-5 -0.7070973 0.7071163 -2.0672e-5 0.8212132 0.3401703 -0.4581409 0.7070973 0.7071163 0 0.9238801 -0.3826823 0 0.6785935 -0.2810816 -0.6786045 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7071059 -0.7071077 -2.06972e-5 0.3401663 -0.8212081 -0.458153 0 0 -1 0.7071185 -0.7070951 0 0.7071081 0.7071054 0 0.7071081 0.7071054 0 -0.7071185 -0.7070951 0 0.7071185 -0.7070951 0 -0.7071081 0.7071054 0 -0.7071185 -0.7070951 0 -0.7071081 0.7071054 0 -0.3826938 -0.9238752 -2.70421e-5 0 0 -1 0 0 -1 0.2810887 -0.6785959 -0.6785992 -0.2810892 -0.6785971 -0.6785978 0.2810928 -0.6785964 -0.678597 -0.2810917 -0.6785939 -0.6786 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.3826721 0.9238843 0 0 0 1 0 0 1 -0.3826719 0.9238843 0 0 0 1 0 0 1 -0.3826719 0.9238843 0 0 0 1 0.9238771 0.3826894 0 0.3826721 0.9238843 0 0.9238771 -0.3826894 0 0.9238771 0.3826894 0 0 0 1 0.3826721 -0.9238843 0 0 0 1 0.9238771 -0.3826894 0 0 0 1 -0.3826719 -0.9238843 0 0 0 1 0 0 1 0 0 1 0.3826721 -0.9238843 0 0 0 1 -0.9238773 -0.3826888 0 -0.3826719 -0.9238843 0 -0.9238773 0.3826888 0 -0.9238773 -0.3826888 0 0 0 1 -0.9238773 0.3826888 0 0 -1 0 -0.8660196 -0.5000101 0 0 -1 0 0.8660162 -0.5000159 0 0.8660162 -0.5000159 0 0.8660162 0.5000159 0 0.8660162 0.5000159 0 0 1 0 0 1 0 -0.8660196 0.5000101 0 -0.8660196 0.5000101 0 -0.8660196 -0.5000101 0 -0.2810758 -0.6786009 -0.6785995 0.281084 -0.6785992 -0.6785979 0.2810748 -0.6785979 -0.6786028 -0.6785868 -0.2810845 -0.67861 -0.281089 -0.6785836 -0.6786112 -0.6785897 0.2810857 -0.6786067 -0.6785879 -0.2810937 -0.678605 -0.281073 0.6785942 -0.6786073 -0.6785823 0.2810913 -0.6786116 -0.2810945 0.6785969 -0.6785957 0.281076 0.6786009 -0.6785995 -0.3826956 -0.9238745 0 0.7071077 -0.7071059 0 0.3401572 -0.8212151 -0.4581473 -0.8212156 -0.3401749 -0.4581332 -0.9238731 0.382699 -2.7042e-5 -0.7071163 -0.7070973 -2.0672e-5 -0.3401703 0.8212132 -0.4581409 -0.7071163 0.7070973 0 0.3826823 0.9238801 0 0.2810816 0.6785935 -0.6786045 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7071077 0.7071059 -2.06972e-5 0.8212081 0.3401663 -0.458153 0 0 -1 0.7070951 0.7071185 0 -0.7071054 0.7071081 0 -0.7071054 0.7071081 0 0.7070951 -0.7071185 0 0.7070951 0.7071185 0 -0.7071054 -0.7071081 0 0.7070951 -0.7071185 0 -0.7071054 -0.7071081 0 0.9238752 -0.3826938 -2.70421e-5 0 0 -1 0 0 -1 0.6785959 0.2810887 -0.6785992 0.6785971 -0.2810892 -0.6785978 0.6785964 0.2810928 -0.678597 0.6785939 -0.2810917 -0.6786 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 -0.9238842 -0.3826721 0 0 0 -1 0 0 -1 -0.9238844 0.382672 0 0 0 -1 0 0 -1 -0.9238844 0.382672 0 0 0 -1 -0.3826894 -0.9238771 0 -0.9238842 -0.3826721 0 0.3826894 -0.9238771 0 -0.3826894 -0.9238771 0 0 0 -1 0.9238842 -0.3826721 0 0 0 -1 0.3826894 -0.9238771 0 0 0 -1 0.9238844 0.382672 0 0 0 -1 0 0 -1 0 0 -1 0.9238842 -0.3826721 0 0 0 -1 0.3826888 0.9238774 0 0.9238844 0.382672 0 -0.3826888 0.9238774 0 0.3826888 0.9238774 0 0 0 -1 -0.3826888 0.9238774 0 1 0 0 0.5000101 0.8660196 0 1 0 0 0.5000159 -0.8660162 0 0.5000159 -0.8660162 0 -0.5000159 -0.8660162 0 -0.5000159 -0.8660162 0 -1 0 0 -1 0 0 -0.5000101 0.8660196 0 -0.5000101 0.8660196 0 0.5000101 0.8660196 0 0.6786015 0.281076 0.6785989 0.6785997 -0.2810842 0.6785971 0.6785985 -0.281075 0.6786022 0.2810847 0.6785873 0.6786093 0.6785843 0.2810893 0.6786105 -0.2810859 0.6785901 0.678606 0.281094 0.6785885 0.6786043 -0.6785948 0.2810732 0.6786066 -0.2810916 0.6785829 0.678611 -0.6785976 0.2810947 0.678595 -0.6786015 -0.2810762 0.6785989 0.9238744 0.3826956 0 0.7071058 -0.7071077 0 0.8212147 -0.340157 0.4581479 0.3401747 0.8212153 0.4581338 -0.382699 0.9238731 2.70421e-5 0.7070973 0.7071163 2.06721e-5 -0.8212129 0.3401702 0.4581415 -0.7070973 0.7071163 0 -0.9238801 -0.3826823 0 -0.6785941 -0.2810819 0.6786038 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071058 -0.7071077 2.06973e-5 -0.3401662 -0.8212078 0.4581537 0 0 1 -0.7071185 -0.707095 0 -0.7071081 0.7071054 0 -0.7071081 0.7071054 0 0.7071185 -0.707095 0 -0.7071185 -0.707095 0 0.7071081 0.7071054 0 0.7071185 -0.707095 0 0.7071081 0.7071054 0 0.3826938 -0.9238753 2.70421e-5 0 0 1 0 0 1 -0.281089 -0.6785964 0.6785986 0.2810894 -0.6785976 0.678597 -0.281093 -0.678597 0.6785963 0.2810919 -0.6785944 0.6785992 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3826721 0.9238842 0 0 0 -1 0 0 -1 0.382672 0.9238844 0 0 0 -1 0 0 -1 0.382672 0.9238844 0 0 0 -1 -0.9238771 0.3826894 0 -0.3826721 0.9238842 0 -0.9238771 -0.3826894 0 -0.9238771 0.3826894 0 0 0 -1 -0.3826721 -0.9238842 0 0 0 -1 -0.9238771 -0.3826894 0 0 0 -1 0.382672 -0.9238844 0 0 0 -1 0 0 -1 0 0 -1 -0.3826721 -0.9238842 0 0 0 -1 0.9238774 -0.3826888 0 0.382672 -0.9238844 0 0.9238774 0.3826888 0 0.9238774 -0.3826888 0 0 0 -1 0.9238774 0.3826888 0 0 -1 0 0.8660196 -0.5000101 0 0 -1 0 -0.8660162 -0.5000159 0 -0.8660162 -0.5000159 0 -0.8660162 0.5000159 0 -0.8660162 0.5000159 0 0 1 0 0 1 0 0.8660196 0.5000101 0 0.8660196 0.5000101 0 0.8660196 -0.5000101 0 0.281076 -0.6786015 0.6785989 -0.2810842 -0.6785997 0.6785971 -0.281075 -0.6785985 0.6786022 0.6785873 -0.2810847 0.6786093 0.2810893 -0.6785843 0.6786105 0.6785901 0.2810859 0.678606 0.6785885 -0.281094 0.6786043 0.2810732 0.6785948 0.6786066 0.6785829 0.2810916 0.678611 0.2810947 0.6785976 0.678595 -0.2810762 0.6786015 0.6785989 0.3826956 -0.9238744 0 -0.7071077 -0.7071058 0 -0.340157 -0.8212147 0.4581479 0.8212153 -0.3401747 0.4581338 0.9238731 0.382699 2.70421e-5 0.7071163 -0.7070973 2.06721e-5 0.3401702 0.8212129 0.4581415 0.7071163 0.7070973 0 -0.3826823 0.9238801 0 -0.2810819 0.6785941 0.6786038 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.7071077 0.7071058 2.06973e-5 -0.8212078 0.3401662 0.4581537 0 0 1 -0.707095 0.7071185 0 0.7071054 0.7071081 0 0.7071054 0.7071081 0 -0.707095 -0.7071185 0 -0.707095 0.7071185 0 0.7071054 -0.7071081 0 -0.707095 -0.7071185 0 0.7071054 -0.7071081 0 -0.9238753 -0.3826938 2.70421e-5 0 0 1 0 0 1 -0.6785964 0.281089 0.6785986 -0.6785976 -0.2810894 0.678597 -0.678597 0.281093 0.6785963 -0.6785944 -0.2810919 0.6785992 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9238842 0.3826721 0 0 0 -1 0 0 -1 0.9238844 -0.382672 0 0 0 -1 0 0 -1 0.9238844 -0.382672 0 0 0 -1 0.3826894 0.9238771 0 0.9238842 0.3826721 0 -0.3826894 0.9238771 0 0.3826894 0.9238771 0 0 0 -1 -0.9238842 0.3826721 0 0 0 -1 -0.3826894 0.9238771 0 0 0 -1 -0.9238844 -0.382672 0 0 0 -1 0 0 -1 0 0 -1 -0.9238842 0.3826721 0 0 0 -1 -0.3826888 -0.9238774 0 -0.9238844 -0.382672 0 0.3826888 -0.9238774 0 -0.3826888 -0.9238774 0 0 0 -1 0.3826888 -0.9238774 0 -1 0 0 -0.5000101 -0.8660196 0 -1 0 0 -0.5000159 0.8660162 0 -0.5000159 0.8660162 0 0.5000159 0.8660162 0 0.5000159 0.8660162 0 1 0 0 1 0 0 0.5000101 -0.8660196 0 0.5000101 -0.8660196 0 -0.5000101 -0.8660196 0 -0.6786015 -0.281076 0.6785989 -0.6785997 0.2810842 0.6785971 -0.6785985 0.281075 0.6786022 -0.2810847 -0.6785873 0.6786093 -0.6785843 -0.2810893 0.6786105 0.2810859 -0.6785901 0.678606 -0.281094 -0.6785885 0.6786043 0.6785948 -0.2810732 0.6786066 0.2810916 -0.6785829 0.678611 0.6785976 -0.2810947 0.678595 0.6786015 0.2810762 0.6785989 -0.9238744 -0.3826956 0 -0.7071058 0.7071077 0 -0.8212147 0.340157 0.4581479 -0.3401747 -0.8212153 0.4581338 0.382699 -0.9238731 2.70421e-5 -0.7070973 -0.7071163 2.06721e-5 0.8212129 -0.3401702 0.4581415 0.7070973 -0.7071163 0 0.9238801 0.3826823 0 0.6785941 0.2810819 0.6786038 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7071058 0.7071077 2.06973e-5 0.3401662 0.8212078 0.4581537 0 0 1 0.7071185 0.707095 0 0.7071081 -0.7071054 0 0.7071081 -0.7071054 0 -0.7071185 0.707095 0 0.7071185 0.707095 0 -0.7071081 -0.7071054 0 -0.7071185 0.707095 0 -0.7071081 -0.7071054 0 -0.3826938 0.9238753 2.70421e-5 0 0 1 0 0 1 0.281089 0.6785964 0.6785986 -0.2810894 0.6785976 0.678597 0.281093 0.678597 0.6785963 -0.2810919 0.6785944 0.6785992 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3826721 -0.9238842 0 0 0 -1 0 0 -1 -0.382672 -0.9238844 0 0 0 -1 0 0 -1 -0.382672 -0.9238844 0 0 0 -1 0.9238771 -0.3826894 0 0.3826721 -0.9238842 0 0.9238771 0.3826894 0 0.9238771 -0.3826894 0 0 0 -1 0.3826721 0.9238842 0 0 0 -1 0.9238771 0.3826894 0 0 0 -1 -0.382672 0.9238844 0 0 0 -1 0 0 -1 0 0 -1 0.3826721 0.9238842 0 0 0 -1 -0.9238774 0.3826888 0 -0.382672 0.9238844 0 -0.9238774 -0.3826888 0 -0.9238774 0.3826888 0 0 0 -1 -0.9238774 -0.3826888 0 0 1 0 -0.8660196 0.5000101 0 0 1 0 0.8660162 0.5000159 0 0.8660162 0.5000159 0 0.8660162 -0.5000159 0 0.8660162 -0.5000159 0 0 -1 0 0 -1 0 -0.8660196 -0.5000101 0 -0.8660196 -0.5000101 0 -0.8660196 0.5000101 0 -0.281076 0.6786015 0.6785989 0.2810842 0.6785997 0.6785971 0.281075 0.6785985 0.6786022 -0.6785873 0.2810847 0.6786093 -0.2810893 0.6785843 0.6786105 -0.6785901 -0.2810859 0.678606 -0.6785885 0.281094 0.6786043 -0.2810732 -0.6785948 0.6786066 -0.6785829 -0.2810916 0.678611 -0.2810947 -0.6785976 0.678595 0.2810762 -0.6786015 0.6785989 -0.3826956 0.9238744 0 0.7071077 0.7071058 0 0.340157 0.8212147 0.4581479 -0.8212153 0.3401747 0.4581338 -0.9238731 -0.382699 2.70421e-5 -0.7071163 0.7070973 2.06721e-5 -0.3401702 -0.8212129 0.4581415 -0.7071163 -0.7070973 0 0.3826823 -0.9238801 0 0.2810819 -0.6785941 0.6786038 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7071077 -0.7071058 2.06973e-5 0.8212078 -0.3401662 0.4581537 0 0 1 0.707095 -0.7071185 0 -0.7071054 -0.7071081 0 -0.7071054 -0.7071081 0 0.707095 0.7071185 0 0.707095 -0.7071185 0 -0.7071054 0.7071081 0 0.707095 0.7071185 0 -0.7071054 0.7071081 0 0.9238753 0.3826938 2.70421e-5 0 0 1 0 0 1 0.6785964 -0.281089 0.6785986 0.6785976 0.2810894 0.678597 0.678597 -0.281093 0.6785963 0.6785944 0.2810919 0.6785992 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 -0.4999936 0.8660292 0 -1 0 0 -0.4999623 -0.8660471 0 -0.4999623 -0.8660471 0 0.4999808 -0.8660365 0 0.4999808 -0.8660365 0 1 0 0 1 0 0 0.500012 0.8660185 0 0.500012 0.8660185 0 -0.4999936 0.8660292 0 -0.9238732 0.3826987 0 -0.7071057 -0.7071079 -0.4581611 -0.8212074 -0.340157 -0.4581488 -0.3401686 0.8212095 -2.6019e-5 0.3826812 0.9238805 -1.99072e-5 -0.7070953 0.7071182 -0.4581772 0.8211971 0.3401604 0 0.7070865 0.7071271 0 0.9238815 -0.3826789 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.03848e-5 0.7070968 -0.7071167 -0.4581737 0.3401518 -0.8212025 -1 0 0 0 0.7071079 -0.7071057 0 0.7070953 0.7071182 0 0.7070953 0.7071182 0 -0.7071186 -0.7070949 0 0.7071079 -0.7071057 0 -0.7071061 0.7071075 0 -0.7071186 -0.7070949 0 -0.7071061 0.7071075 -2.66335e-5 -0.3826962 -0.9238742 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.9238843 -0.3826721 1 0 0 1 0 0 0 0.9238837 0.3826732 1 0 0 1 0 0 0 0.9238837 0.3826732 1 0 0 0 0.3826817 -0.9238802 0 0.9238843 -0.3826721 0 -0.3826888 -0.9238774 0 0.3826817 -0.9238802 1 0 0 0 -0.9238771 -0.3826892 1 0 0 0 -0.3826888 -0.9238774 1 0 0 0 -0.9238768 0.3826903 1 0 0 1 0 0 1 0 0 0 -0.9238771 -0.3826892 1 0 0 0 -0.382689 0.9238771 0 -0.9238768 0.3826903 0 0.382682 0.9238801 0 -0.382689 0.9238771 1 0 0 0 0.382682 0.9238801 0 -1 0 0 -0.4999936 0.8660292 0 -1 0 0 -0.4999921 -0.86603 0 -0.4999921 -0.86603 0 0.5000106 -0.8660193 0 0.5000106 -0.8660193 0 1 0 0 1 0 0 0.500012 0.8660185 0 0.500012 0.8660185 0 -0.4999936 0.8660292 -0.678602 -0.6785932 0.2810884 -0.6786029 -0.6785941 -0.2810842 -0.6786008 -0.6785945 -0.2810881 -0.6786054 -0.2810863 0.6785906 -0.6786073 -0.6785855 0.2810944 -0.6786033 0.2810817 0.6785945 -0.6786006 -0.2810952 0.6785918 -0.6786027 0.6785978 0.2810755 -0.6786047 0.2810833 0.6785926 -0.6785921 0.6786003 0.2810952 -0.6785957 0.678604 -0.2810772 0 -0.9238723 0.382701 0 -0.7071058 -0.7071078 -0.4581611 -0.8212074 -0.3401569 -0.4581445 -0.3401725 0.8212103 -2.62238e-5 0.3826846 0.923879 -2.00604e-5 -0.7070947 0.707119 -0.4581755 0.821197 0.3401627 0 0.7070857 0.7071278 0 0.9238815 -0.3826788 -0.6785991 0.6785992 -0.281081 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.0228e-5 0.7070969 -0.7071166 -0.4581739 0.3401516 -0.8212025 -1 0 0 0 0.707108 -0.7071055 0 0.707094 0.7071196 0 0.707094 0.7071196 0 -0.7071188 -0.7070949 0 0.707108 -0.7071055 0 -0.7071048 0.7071087 0 -0.7071188 -0.7070949 0 -0.7071048 0.7071087 -2.64286e-5 -0.3826959 -0.9238743 -1 0 0 -1 0 0 -0.6785932 0.2810852 -0.6786033 -0.678592 -0.2810909 -0.6786022 -0.6785932 0.2810853 -0.6786033 -0.6785956 -0.2810949 -0.678597 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -0.3826737 -0.9238836 -1 0 0 -1 0 0 -1.86434e-4 -0.9238842 -0.3826722 -1 0 0 -1 0 0 0 -0.9238771 -0.3826891 -1 0 0 -1.83565e-4 0.3826727 -0.923884 -1.837e-4 -0.3826903 -0.9238767 0 0.9238842 -0.3826723 0 0.3826893 -0.9238771 -1 0 0 -1.82131e-4 0.9238842 0.3826721 -1 0 0 -1.82214e-4 0.9238772 -0.3826888 -1 0 0 0 0.3826721 0.9238842 -1 0 0 -1 0 0 -1 0 0 0 0.9238774 0.3826886 -1 0 0 -1.83565e-4 -0.3826732 0.9238837 -1.83452e-4 0.3826888 0.9238773 0 -0.9238842 0.382672 0 -0.3826898 0.923877 -1 0 0 -1.86423e-4 -0.9238772 0.3826888 0 0.7070865 0.7071272 0 -0.2588437 0.9659192 0 0.7070865 0.7071272 0 0.9659203 -0.2588396 0 0.9659203 -0.2588396 0 0.2587962 -0.965932 0 0.2587962 -0.965932 0 -0.7071071 -0.7071065 0 -0.7071071 -0.7071065 0 -0.9659188 0.2588451 0 -0.9659188 0.2588451 0 -0.2588437 0.9659192 0.678601 0.2810876 0.6785944 0.6785957 0.6785969 0.2810947 0.678592 0.6786022 0.2810907 0.678602 -0.2810879 0.6785932 0.6786029 0.2810842 0.6785941 0.6786056 -0.6785907 0.2810861 0.6786077 -0.2810943 0.6785851 0.6786022 -0.6785933 -0.2810874 0.6786006 -0.6785918 0.2810952 0.6786002 -0.6785963 -0.2810851 0.6785946 -0.281091 -0.6785995 0 0.382685 0.9238789 0 1 0 0.4581559 0.8212059 0.3401677 0.4581595 -0.3401714 0.8212024 0 -0.9238732 0.3826988 0 0 1 0.4581456 -0.8212149 -0.34016 0 -1 0 0 -0.3826957 -0.9238743 0.6785919 -0.281096 -0.6786001 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0.4581394 0.3401566 -0.8212197 1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0 0 -1 0 0 1 0 1 0 0 0 1 0 0.9238801 -0.3826822 1 0 0 1 0 0 0.678593 0.2810908 -0.6786012 0.6785899 0.678604 -0.2810916 0.6785883 0.2810856 -0.6786081 0.6785932 0.6786032 -0.2810856 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9238836 0.3826737 -1 0 0 -1 0 0 -1.86434e-4 -0.3826722 0.9238842 -1 0 0 -1 0 0 0 -0.3826891 0.9238771 -1 0 0 -1.83565e-4 -0.9238839 -0.3826726 -1.837e-4 -0.9238767 0.3826903 0 -0.3826723 -0.9238842 0 -0.9238771 -0.3826893 -1 0 0 -1.82132e-4 0.3826652 -0.9238871 -1 0 0 -1.82214e-4 -0.3826888 -0.9238772 -1 0 0 0 0.9238842 -0.3826721 -1 0 0 -1 0 0 -1 0 0 0 0.3826817 -0.9238803 -1 0 0 0 0.9238837 0.3826732 0 0.9238842 -0.3826721 0 0.382665 0.9238871 0 0.9238837 0.3826732 -1 0 0 -1.86419e-4 0.382682 0.9238802 0 0.7071272 -0.7070865 0 0.9659279 0.2588112 0 0.7071272 -0.7070865 0 -0.2588379 -0.9659207 0 -0.2588379 -0.9659207 0 -0.965932 -0.2587962 0 -0.965932 -0.2587962 0 -0.7071065 0.7071071 0 -0.7071065 0.7071071 0 0.2588348 0.9659216 0 0.2588348 0.9659216 0 0.9659279 0.2588112 0.6785981 0.6786021 -0.2810765 0.6785932 0.2810852 -0.6786033 0.6785932 0.2810852 -0.6786033 0.6785956 0.6786038 0.2810781 0.6785947 0.6786029 -0.2810826 0.6786043 0.2810815 0.6785938 0.6786062 0.6785882 0.2810901 0.6786022 -0.2810874 0.6785933 0.6786029 0.2810839 0.6785941 0.6786071 -0.2810929 0.6785863 0.6786055 -0.6785902 0.2810871 0 0.9238814 -0.3826788 0 0 -1 0.4581426 0.3401576 -0.8212174 0.4581536 0.8212075 0.3401671 0 0.3826846 0.923879 0 1 0 0.4581588 -0.3401696 0.8212034 0 0 1 0 -0.9238723 0.382701 0.6786003 -0.6785915 0.2810969 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0.4581444 -0.8212155 -0.3401603 1 0 0 0 -1 0 0 0 1 0 0 1 0 0 -1 0 -1 0 0 1 0 0 0 -1 0 1 0 0 -0.3826959 -0.9238743 1 0 0 1 0 0 0.6786022 -0.6785933 -0.2810876 0.6785944 -0.28109 -0.6786001 0.6786001 -0.6785964 -0.2810852 0.6785908 -0.2810965 -0.6786009 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3826663 0.9238866 -1 0 0 -1 0 0 0 0.923884 0.3826724 -1 0 0 -1 0 0 0 0.923884 0.3826724 -1 0 0 -1.83565e-4 -0.3826727 0.9238839 -1.83449e-4 0.3826829 0.9238797 0 -0.9238843 0.3826721 0 -0.3826893 0.9238771 -1 0 0 -1.85e-4 -0.9238872 -0.3826649 -1 0 0 -1.85185e-4 -0.9238772 0.3826888 -1 0 0 0 -0.3826722 -0.9238843 -1 0 0 -1 0 0 -1 0 0 0 -0.9238803 -0.3826817 -1 0 0 0 0.3826658 -0.9238869 0 -0.3826722 -0.9238843 0 0.923887 -0.3826653 0 0.3826658 -0.9238869 -1 0 0 0 0.923887 -0.3826653 0 -0.7071068 -0.7071068 0 0.2588008 -0.9659307 0 -0.7071068 -0.7071068 0 -0.9659324 0.2587947 0 -0.9659324 0.2587947 0 -0.2587949 0.9659324 0 -0.2587949 0.9659324 0 0.7071066 0.7071069 0 0.7071066 0.7071069 0 0.9659318 -0.2587966 0 0.9659318 -0.2587966 0 0.2588008 -0.9659307 0.6786025 -0.281075 -0.6785983 0.6786038 -0.6785944 -0.2810811 0.6786041 -0.678594 -0.2810813 0.6785969 0.2810722 -0.678605 0.6785924 -0.2810934 -0.6786006 0.6786007 0.6786019 -0.2810705 0.6786032 0.2810796 -0.6785955 0.6785941 0.6786054 0.2810781 0.6785924 0.6786038 -0.2810857 0.6786057 0.6785882 0.2810914 0.678604 0.2810822 0.6785936 0 -0.3826925 -0.9238759 0 -1 0 0.4581422 -0.8212179 -0.3401573 0.4581398 0.3401557 -0.8212199 0 0.9238801 -0.382682 0 0 -1 0.4581564 0.8212056 0.3401678 0 1 0 0 0.3826851 0.9238789 0.6786029 0.2810843 0.678594 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0.4581584 -0.3401696 0.8212037 1 0 0 0 0 1 0 1 0 0 1 0 0 -1 0 0 0 1 0 0 -1 0 -1 0 0 0 -1 0 -0.9238745 0.3826954 1 0 0 1 0 0 0.6786022 -0.2810876 0.6785933 0.6786051 -0.678591 0.2810862 0.6786068 -0.2810929 0.6785866 0.6786019 -0.6785917 0.2810922 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.9238866 -0.3826663 -1 0 0 -1 0 0 0 0.3826724 -0.923884 -1 0 0 -1 0 0 0 0.3826724 -0.923884 -1 0 0 -1.83565e-4 0.9238839 0.3826727 -1.83449e-4 0.9238797 -0.3826829 0 0.3826721 0.9238843 0 0.9238771 0.3826893 -1 0 0 -1.84999e-4 -0.3826718 0.9238843 -1 0 0 -1.85185e-4 0.3826888 0.9238772 -1 0 0 0 -0.9238843 0.3826722 -1 0 0 -1 0 0 -1 0 0 0 -0.3826886 0.9238774 -1 0 0 -1.83566e-4 -0.9238868 -0.3826658 -1.83699e-4 -0.9238772 0.3826888 0 -0.3826722 -0.9238842 0 -0.92388 -0.3826825 -1 0 0 0 -0.3826722 -0.9238842 0 -0.7071068 0.7071068 0 -0.9659219 -0.2588333 0 -0.7071068 0.7071068 0 0.2587962 0.9659319 0 0.2587962 0.9659319 0 0.9659324 0.2587949 0 0.9659324 0.2587949 0 0.7071069 -0.7071066 0 0.7071069 -0.7071066 0 -0.2588069 -0.9659291 0 -0.2588069 -0.9659291 0 -0.9659219 -0.2588333 0.6786055 -0.6785906 0.2810861 0.6786063 -0.2810906 0.6785879 0.6786029 -0.2810868 0.6785929 0.6786032 -0.6785944 -0.2810822 0.6786006 -0.6785918 0.281095 0.6786019 -0.2810751 -0.6785987 0.6786047 -0.6785925 -0.2810837 0.6785941 0.2810781 -0.6786054 0.6785901 -0.2810969 -0.6786015 0.6785989 0.2810837 -0.6785981 0.678593 0.6786031 -0.2810862 0 -0.9238733 0.3826987 0 0 1 0.4581553 -0.3401673 0.8212063 0.4581457 -0.8212148 -0.3401601 0 -0.3826963 -0.9238743 0 -1 0 0.4581431 0.3401582 -0.821217 0 0 -1 0 0.9238809 -0.3826799 0.6785945 0.6786026 -0.2810834 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0.4581536 0.821208 0.3401659 1 0 0 0 1 0 0 0 -1 0 0 -1 0 0 1 0 1 0 0 -1 0 0 0 1 0 -1 0 0 0.3826816 0.9238802 1 0 0 1 0 0 0.6785929 0.6786011 0.2810909 0.6786006 0.2810878 0.6785948 0.678595 0.6785982 0.2810932 0.6786041 0.2810813 0.678594 -1 0 0 -1 0 0 -1 0 0 -1 0 0</float_array>
+ <technique_common>
+ <accessor source="#humerus_r-mesh-normals-array" count="13240" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="humerus_r-mesh-vertices">
+ <input semantic="POSITION" source="#humerus_r-mesh-positions"/>
+ </vertices>
+ <polylist material="aluminum-material" count="13240">
+ <input semantic="VERTEX" source="#humerus_r-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#humerus_r-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 4 2 2 2 5 2 6 3 5 3 2 3 7 4 0 4 2 4 8 5 7 5 2 5 9 6 8 6 2 6 10 7 9 7 2 7 11 8 10 8 2 8 12 9 11 9 2 9 13 10 12 10 2 10 4 11 13 11 2 11 6 12 2 12 3 12 14 13 15 13 1 13 16 14 1 14 15 14 0 15 17 15 1 15 18 16 1 16 17 16 19 17 14 17 1 17 20 18 19 18 1 18 21 19 20 19 1 19 22 20 21 20 1 20 18 21 22 21 1 21 16 22 3 22 1 22 23 23 24 23 15 23 25 24 15 24 24 24 26 25 23 25 15 25 14 26 26 26 15 26 25 27 16 27 15 27 27 28 24 28 23 28 27 29 25 29 24 29 28 30 29 30 23 30 30 31 23 31 29 31 31 32 23 32 26 32 32 33 33 33 23 33 34 34 23 34 33 34 35 35 32 35 23 35 31 36 35 36 23 36 36 37 28 37 23 37 34 38 36 38 23 38 30 39 27 39 23 39 37 40 38 40 29 40 39 41 29 41 38 41 40 42 41 42 29 42 37 43 29 43 41 43 42 44 40 44 29 44 43 45 42 45 29 45 44 46 29 46 28 46 43 47 29 47 44 47 39 48 30 48 29 48 45 49 46 49 38 49 47 50 38 50 46 50 48 51 45 51 38 51 49 52 48 52 38 52 50 53 49 53 38 53 51 54 50 54 38 54 52 55 51 55 38 55 53 56 52 56 38 56 54 57 53 57 38 57 37 58 54 58 38 58 47 59 39 59 38 59 55 60 56 60 46 60 57 61 46 61 56 61 45 62 58 62 46 62 59 63 46 63 58 63 60 64 55 64 46 64 61 65 60 65 46 65 62 66 61 66 46 66 63 67 62 67 46 67 59 68 63 68 46 68 57 69 47 69 46 69 64 70 65 70 56 70 66 71 56 71 65 71 67 72 64 72 56 72 55 73 67 73 56 73 66 74 57 74 56 74 68 75 65 75 64 75 68 76 66 76 65 76 69 77 5 77 64 77 70 78 64 78 5 78 71 79 64 79 67 79 72 80 73 80 64 80 74 81 64 81 73 81 75 82 72 82 64 82 71 83 75 83 64 83 76 84 69 84 64 84 74 85 76 85 64 85 70 86 68 86 64 86 77 87 78 87 5 87 4 88 5 88 78 88 79 89 77 89 5 89 80 90 79 90 5 90 81 91 5 91 69 91 80 92 5 92 81 92 6 93 70 93 5 93 82 94 83 94 84 94 85 95 84 95 83 95 82 96 84 96 86 96 87 97 86 97 84 97 87 98 84 98 85 98 82 99 17 99 83 99 88 100 83 100 17 100 88 101 85 101 83 101 89 102 17 102 0 102 82 103 18 103 17 103 88 104 17 104 89 104 90 105 0 105 7 105 89 106 0 106 90 106 91 107 7 107 8 107 90 108 7 108 91 108 92 109 8 109 9 109 91 110 8 110 92 110 10 111 86 111 9 111 93 112 9 112 86 112 92 113 9 113 93 113 10 114 82 114 86 114 93 115 86 115 87 115 94 116 95 116 96 116 97 117 96 117 95 117 94 118 96 118 98 118 99 119 98 119 96 119 99 120 96 120 97 120 100 121 101 121 95 121 102 122 95 122 101 122 103 123 100 123 95 123 94 124 103 124 95 124 102 125 97 125 95 125 31 126 26 126 101 126 104 127 101 127 26 127 105 128 31 128 101 128 100 129 105 129 101 129 102 130 101 130 104 130 106 131 26 131 14 131 104 132 26 132 106 132 107 133 14 133 19 133 106 134 14 134 107 134 20 135 108 135 19 135 109 136 19 136 108 136 107 137 19 137 109 137 20 138 98 138 108 138 110 139 108 139 98 139 109 140 108 140 110 140 111 141 98 141 20 141 94 142 98 142 111 142 110 143 98 143 99 143 34 144 33 144 112 144 113 145 112 145 33 145 43 146 112 146 114 146 115 147 114 147 112 147 116 148 34 148 112 148 43 149 116 149 112 149 115 150 112 150 113 150 117 151 33 151 32 151 117 152 113 152 33 152 118 153 32 153 35 153 117 154 32 154 118 154 119 155 35 155 31 155 118 156 35 156 119 156 105 157 120 157 31 157 121 158 31 158 120 158 119 159 31 159 121 159 122 160 123 160 120 160 124 161 120 161 123 161 125 162 122 162 120 162 105 163 125 163 120 163 121 164 120 164 124 164 126 165 114 165 123 165 127 166 123 166 114 166 122 167 126 167 123 167 124 168 123 168 127 168 126 169 43 169 114 169 127 170 114 170 115 170 128 171 129 171 130 171 131 172 130 172 129 172 128 173 130 173 132 173 133 174 132 174 130 174 133 175 130 175 131 175 128 176 134 176 129 176 135 177 129 177 134 177 135 178 131 178 129 178 136 179 41 179 134 179 137 180 134 180 41 180 128 181 136 181 134 181 135 182 134 182 137 182 138 183 41 183 40 183 136 184 37 184 41 184 137 185 41 185 138 185 139 186 40 186 42 186 138 187 40 187 139 187 43 188 140 188 42 188 141 189 42 189 140 189 139 190 42 190 141 190 43 191 132 191 140 191 142 192 140 192 132 192 141 193 140 193 142 193 43 194 128 194 132 194 142 195 132 195 133 195 143 196 144 196 145 196 146 197 145 197 144 197 143 198 145 198 147 198 148 199 147 199 145 199 148 200 145 200 146 200 143 201 58 201 144 201 149 202 144 202 58 202 149 203 146 203 144 203 150 204 58 204 45 204 143 205 59 205 58 205 149 206 58 206 150 206 151 207 45 207 48 207 150 208 45 208 151 208 152 209 48 209 49 209 151 210 48 210 152 210 153 211 49 211 50 211 152 212 49 212 153 212 51 213 147 213 50 213 154 214 50 214 147 214 153 215 50 215 154 215 51 216 143 216 147 216 154 217 147 217 148 217 155 218 156 218 157 218 158 219 157 219 156 219 155 220 157 220 159 220 160 221 159 221 157 221 160 222 157 222 158 222 161 223 162 223 156 223 163 224 156 224 162 224 164 225 156 225 155 225 164 226 161 226 156 226 163 227 158 227 156 227 71 228 67 228 162 228 165 229 162 229 67 229 166 230 71 230 162 230 161 231 166 231 162 231 163 232 162 232 165 232 167 233 67 233 55 233 165 234 67 234 167 234 168 235 55 235 60 235 167 236 55 236 168 236 61 237 169 237 60 237 170 238 60 238 169 238 168 239 60 239 170 239 61 240 159 240 169 240 171 241 169 241 159 241 170 242 169 242 171 242 172 243 159 243 61 243 155 244 159 244 172 244 171 245 159 245 160 245 74 246 73 246 173 246 174 247 173 247 73 247 80 248 173 248 175 248 176 249 175 249 173 249 177 250 74 250 173 250 80 251 177 251 173 251 176 252 173 252 174 252 178 253 73 253 72 253 178 254 174 254 73 254 179 255 72 255 75 255 178 256 72 256 179 256 180 257 75 257 71 257 179 258 75 258 180 258 166 259 181 259 71 259 182 260 71 260 181 260 180 261 71 261 182 261 183 262 184 262 181 262 185 263 181 263 184 263 186 264 183 264 181 264 166 265 186 265 181 265 182 266 181 266 185 266 187 267 175 267 184 267 188 268 184 268 175 268 183 269 187 269 184 269 185 270 184 270 188 270 187 271 80 271 175 271 188 272 175 272 176 272 189 273 190 273 191 273 192 274 191 274 190 274 189 275 191 275 193 275 194 276 193 276 191 276 194 277 191 277 192 277 189 278 195 278 190 278 196 279 190 279 195 279 196 280 192 280 190 280 197 281 78 281 195 281 198 282 195 282 78 282 189 283 197 283 195 283 196 284 195 284 198 284 199 285 78 285 77 285 197 286 4 286 78 286 198 287 78 287 199 287 200 288 77 288 79 288 199 289 77 289 200 289 80 290 201 290 79 290 202 291 79 291 201 291 200 292 79 292 202 292 80 293 193 293 201 293 203 294 201 294 193 294 202 295 201 295 203 295 80 296 189 296 193 296 203 297 193 297 194 297 204 298 20 298 21 298 205 299 111 299 20 299 205 300 20 300 204 300 206 301 21 301 22 301 206 302 204 302 21 302 207 303 22 303 18 303 206 304 22 304 207 304 82 305 208 305 18 305 209 306 18 306 208 306 207 307 18 307 209 307 94 308 111 308 208 308 210 309 208 309 111 309 82 310 94 310 208 310 209 311 208 311 210 311 210 312 111 312 205 312 211 313 28 313 36 313 212 314 44 314 28 314 212 315 28 315 211 315 213 316 36 316 34 316 213 317 211 317 36 317 214 318 34 318 116 318 213 319 34 319 214 319 43 320 215 320 116 320 216 321 116 321 215 321 214 322 116 322 216 322 43 323 44 323 215 323 217 324 215 324 44 324 216 325 215 325 217 325 217 326 44 326 212 326 218 327 61 327 62 327 219 328 172 328 61 328 219 329 61 329 218 329 220 330 62 330 63 330 220 331 218 331 62 331 221 332 63 332 59 332 220 333 63 333 221 333 143 334 222 334 59 334 223 335 59 335 222 335 221 336 59 336 223 336 155 337 172 337 222 337 224 338 222 338 172 338 143 339 155 339 222 339 223 340 222 340 224 340 224 341 172 341 219 341 225 342 69 342 76 342 226 343 81 343 69 343 226 344 69 344 225 344 227 345 76 345 74 345 227 346 225 346 76 346 228 347 74 347 177 347 227 348 74 348 228 348 80 349 229 349 177 349 230 350 177 350 229 350 228 351 177 351 230 351 80 352 81 352 229 352 231 353 229 353 81 353 230 354 229 354 231 354 231 355 81 355 226 355 232 356 155 356 143 356 233 357 164 357 155 357 233 358 155 358 232 358 234 359 143 359 51 359 234 360 235 360 143 360 232 361 143 361 235 361 236 362 51 362 52 362 236 363 234 363 51 363 237 364 52 364 53 364 238 365 236 365 52 365 238 366 52 366 237 366 239 367 53 367 54 367 240 368 53 368 239 368 237 369 53 369 240 369 241 370 54 370 37 370 241 371 239 371 54 371 242 372 37 372 136 372 241 373 37 373 242 373 243 374 136 374 128 374 244 375 242 375 136 375 244 376 136 376 245 376 243 377 245 377 136 377 246 378 128 378 43 378 243 379 128 379 246 379 247 380 43 380 126 380 246 381 43 381 247 381 248 382 126 382 122 382 248 383 247 383 126 383 249 384 122 384 125 384 250 385 248 385 122 385 250 386 122 386 249 386 251 387 125 387 105 387 252 388 125 388 251 388 249 389 125 389 252 389 253 390 105 390 100 390 253 391 251 391 105 391 254 392 100 392 103 392 253 393 100 393 254 393 255 394 103 394 94 394 256 395 254 395 103 395 256 396 103 396 257 396 255 397 257 397 103 397 258 398 94 398 82 398 255 399 94 399 258 399 259 400 82 400 10 400 259 401 260 401 82 401 258 402 82 402 260 402 261 403 10 403 11 403 261 404 259 404 10 404 262 405 11 405 12 405 263 406 261 406 11 406 263 407 11 407 262 407 264 408 12 408 13 408 265 409 12 409 264 409 262 410 12 410 265 410 266 411 13 411 4 411 266 412 264 412 13 412 267 413 4 413 197 413 266 414 4 414 267 414 268 415 197 415 189 415 269 416 267 416 197 416 269 417 197 417 270 417 268 418 270 418 197 418 271 419 189 419 80 419 268 420 189 420 271 420 272 421 80 421 187 421 272 422 273 422 80 422 271 423 80 423 273 423 274 424 187 424 183 424 274 425 272 425 187 425 275 426 183 426 186 426 276 427 274 427 183 427 276 428 183 428 275 428 277 429 186 429 166 429 278 430 186 430 277 430 275 431 186 431 278 431 279 432 166 432 161 432 279 433 277 433 166 433 280 434 161 434 164 434 279 435 161 435 280 435 281 436 280 436 164 436 281 437 164 437 282 437 233 438 282 438 164 438 283 439 284 439 285 439 286 440 285 440 284 440 287 441 285 441 288 441 289 442 288 442 285 442 287 443 290 443 285 443 291 444 285 444 290 444 292 445 283 445 285 445 293 446 292 446 285 446 291 447 293 447 285 447 289 448 285 448 286 448 294 449 295 449 284 449 296 450 284 450 295 450 283 451 294 451 284 451 296 452 286 452 284 452 297 453 298 453 295 453 299 454 295 454 298 454 300 455 295 455 294 455 301 456 297 456 295 456 300 457 301 457 295 457 296 458 295 458 299 458 302 459 303 459 298 459 304 460 298 460 303 460 305 461 298 461 306 461 297 462 306 462 298 462 307 463 302 463 298 463 308 464 307 464 298 464 305 465 308 465 298 465 299 466 298 466 304 466 309 467 288 467 303 467 289 468 303 468 288 468 302 469 309 469 303 469 310 470 303 470 289 470 304 471 303 471 310 471 311 472 288 472 309 472 312 473 287 473 288 473 311 474 312 474 288 474 138 475 313 475 306 475 314 476 306 476 313 476 152 477 306 477 315 477 316 478 315 478 306 478 137 479 138 479 306 479 135 480 137 480 306 480 317 481 135 481 306 481 318 482 306 482 152 482 318 483 305 483 306 483 319 484 317 484 306 484 320 485 319 485 306 485 297 486 320 486 306 486 316 487 306 487 314 487 119 488 321 488 313 488 322 489 313 489 321 489 117 490 313 490 113 490 247 491 113 491 313 491 118 492 119 492 313 492 117 493 118 493 313 493 139 494 141 494 313 494 247 495 313 495 141 495 138 496 139 496 313 496 314 497 313 497 322 497 121 498 323 498 321 498 324 499 321 499 323 499 119 500 121 500 321 500 322 501 321 501 324 501 107 502 325 502 323 502 326 503 323 503 325 503 106 504 107 504 323 504 121 505 106 505 323 505 324 506 323 506 326 506 91 507 290 507 325 507 327 508 325 508 290 508 90 509 91 509 325 509 89 510 90 510 325 510 259 511 89 511 325 511 110 512 99 512 325 512 259 513 325 513 99 513 109 514 110 514 325 514 107 515 109 515 325 515 326 516 325 516 327 516 199 517 328 517 290 517 329 518 290 518 328 518 330 519 290 519 91 519 198 520 199 520 290 520 196 521 198 521 290 521 273 522 196 522 290 522 331 523 273 523 290 523 332 524 331 524 290 524 287 525 332 525 290 525 330 526 291 526 290 526 327 527 290 527 329 527 180 528 333 528 328 528 334 529 328 529 333 529 178 530 328 530 174 530 272 531 174 531 328 531 179 532 180 532 328 532 178 533 179 533 328 533 200 534 202 534 328 534 272 535 328 535 202 535 199 536 200 536 328 536 334 537 329 537 328 537 182 538 335 538 333 538 336 539 333 539 335 539 180 540 182 540 333 540 334 541 333 541 336 541 168 542 315 542 335 542 337 543 335 543 315 543 167 544 168 544 335 544 182 545 167 545 335 545 336 546 335 546 337 546 151 547 152 547 315 547 150 548 151 548 315 548 234 549 150 549 315 549 171 550 160 550 315 550 234 551 315 551 160 551 170 552 171 552 315 552 168 553 170 553 315 553 337 554 315 554 316 554 259 555 87 555 85 555 259 556 85 556 88 556 338 557 93 557 87 557 259 558 338 558 87 558 338 559 92 559 93 559 330 560 91 560 92 560 338 561 330 561 92 561 259 562 88 562 89 562 259 563 99 563 97 563 260 564 97 564 102 564 259 565 97 565 260 565 124 566 104 566 106 566 121 567 124 567 106 567 339 568 102 568 104 568 340 569 104 569 124 569 340 570 339 570 104 570 339 571 260 571 102 571 247 572 115 572 113 572 341 573 127 573 115 573 247 574 341 574 115 574 340 575 124 575 127 575 341 576 340 576 127 576 247 577 133 577 131 577 317 578 131 578 135 578 317 579 247 579 131 579 247 580 142 580 133 580 247 581 141 581 142 581 234 582 148 582 146 582 234 583 146 583 149 583 342 584 154 584 148 584 234 585 342 585 148 585 342 586 153 586 154 586 318 587 152 587 153 587 342 588 318 588 153 588 234 589 149 589 150 589 234 590 160 590 158 590 235 591 158 591 163 591 234 592 158 592 235 592 185 593 165 593 167 593 182 594 185 594 167 594 343 595 163 595 165 595 344 596 165 596 185 596 344 597 343 597 165 597 343 598 235 598 163 598 272 599 176 599 174 599 345 600 188 600 176 600 272 601 345 601 176 601 344 602 185 602 188 602 345 603 344 603 188 603 272 604 194 604 192 604 273 605 192 605 196 605 272 606 192 606 273 606 272 607 203 607 194 607 272 608 202 608 203 608 346 609 235 609 343 609 347 610 232 610 235 610 346 611 347 611 235 611 348 612 349 612 343 612 350 613 343 613 349 613 344 614 348 614 343 614 351 615 346 615 343 615 282 616 343 616 350 616 351 617 343 617 282 617 352 618 353 618 349 618 354 619 349 619 353 619 348 620 352 620 349 620 354 621 355 621 349 621 350 622 349 622 355 622 356 623 357 623 353 623 354 624 353 624 357 624 352 625 356 625 353 625 358 626 359 626 357 626 360 627 357 627 359 627 356 628 358 628 357 628 360 629 354 629 357 629 361 630 309 630 359 630 362 631 359 631 309 631 358 632 361 632 359 632 360 633 359 633 362 633 363 634 309 634 302 634 361 635 311 635 309 635 363 636 362 636 309 636 364 637 302 637 307 637 363 638 302 638 364 638 365 639 307 639 308 639 365 640 364 640 307 640 366 641 308 641 305 641 367 642 308 642 366 642 365 643 308 643 367 643 366 644 305 644 318 644 237 645 318 645 342 645 368 646 366 646 318 646 368 647 318 647 237 647 369 648 342 648 234 648 370 649 342 649 369 649 370 650 237 650 342 650 371 651 234 651 236 651 371 652 369 652 234 652 372 653 273 653 331 653 373 654 271 654 273 654 372 655 373 655 273 655 374 656 331 656 332 656 375 657 372 657 331 657 270 658 331 658 374 658 375 659 331 659 270 659 376 660 332 660 287 660 376 661 377 661 332 661 374 662 332 662 377 662 376 663 287 663 312 663 378 664 312 664 311 664 378 665 376 665 312 665 379 666 311 666 361 666 378 667 311 667 379 667 380 668 361 668 358 668 380 669 379 669 361 669 381 670 358 670 356 670 380 671 358 671 381 671 382 672 356 672 352 672 382 673 381 673 356 673 383 674 352 674 348 674 384 675 352 675 383 675 382 676 352 676 384 676 383 677 348 677 344 677 275 678 344 678 345 678 385 679 383 679 344 679 385 680 344 680 275 680 386 681 345 681 272 681 387 682 345 682 386 682 387 683 275 683 345 683 388 684 272 684 274 684 388 685 386 685 272 685 389 686 260 686 339 686 390 687 258 687 260 687 389 688 390 688 260 688 391 689 392 689 339 689 393 690 339 690 392 690 340 691 391 691 339 691 394 692 389 692 339 692 257 693 339 693 393 693 394 694 339 694 257 694 395 695 396 695 392 695 397 696 392 696 396 696 395 697 392 697 391 697 397 698 398 698 392 698 393 699 392 699 398 699 399 700 400 700 396 700 397 701 396 701 400 701 395 702 399 702 396 702 401 703 402 703 400 703 403 704 400 704 402 704 399 705 401 705 400 705 403 706 397 706 400 706 404 707 294 707 402 707 405 708 402 708 294 708 401 709 404 709 402 709 403 710 402 710 405 710 406 711 294 711 283 711 404 712 300 712 294 712 406 713 405 713 294 713 407 714 283 714 292 714 406 715 283 715 407 715 408 716 292 716 293 716 408 717 407 717 292 717 409 718 293 718 291 718 410 719 293 719 409 719 408 720 293 720 410 720 409 721 291 721 330 721 262 722 330 722 338 722 411 723 409 723 330 723 411 724 330 724 262 724 412 725 338 725 259 725 413 726 338 726 412 726 413 727 262 727 338 727 414 728 259 728 261 728 414 729 412 729 259 729 415 730 391 730 340 730 415 731 395 731 391 731 249 732 340 732 341 732 416 733 415 733 340 733 416 734 340 734 249 734 417 735 341 735 247 735 418 736 341 736 417 736 418 737 249 737 341 737 246 738 247 738 317 738 419 739 417 739 247 739 248 740 419 740 247 740 420 741 317 741 319 741 421 742 246 742 317 742 420 743 421 743 317 743 422 744 319 744 320 744 423 745 420 745 319 745 245 746 319 746 422 746 423 747 319 747 245 747 424 748 320 748 297 748 424 749 425 749 320 749 422 750 320 750 425 750 424 751 297 751 301 751 426 752 301 752 300 752 426 753 424 753 301 753 427 754 300 754 404 754 426 755 300 755 427 755 428 756 404 756 401 756 428 757 427 757 404 757 429 758 401 758 399 758 428 759 401 759 429 759 430 760 399 760 395 760 430 761 429 761 399 761 431 762 395 762 415 762 430 763 395 763 431 763 329 764 3 764 16 764 334 765 6 765 3 765 334 766 3 766 329 766 327 767 16 767 25 767 327 768 329 768 16 768 326 769 25 769 27 769 326 770 327 770 25 770 324 771 27 771 30 771 324 772 326 772 27 772 322 773 30 773 39 773 322 774 324 774 30 774 322 775 39 775 47 775 314 776 47 776 57 776 314 777 322 777 47 777 316 778 57 778 66 778 316 779 314 779 57 779 337 780 66 780 68 780 337 781 316 781 66 781 336 782 68 782 70 782 336 783 337 783 68 783 334 784 70 784 6 784 334 785 336 785 70 785 406 786 380 786 381 786 286 787 406 787 381 787 289 788 381 788 382 788 289 789 286 789 381 789 432 790 379 790 380 790 433 791 378 791 379 791 432 792 433 792 379 792 406 793 407 793 380 793 432 794 380 794 407 794 434 795 407 795 408 795 432 796 407 796 434 796 286 797 405 797 406 797 296 798 403 798 405 798 296 799 405 799 286 799 363 800 428 800 429 800 304 801 363 801 429 801 299 802 429 802 430 802 299 803 304 803 429 803 364 804 427 804 428 804 365 805 427 805 364 805 426 806 427 806 365 806 363 807 364 807 428 807 304 808 362 808 363 808 310 809 360 809 362 809 304 810 310 810 362 810 241 811 242 811 239 811 244 812 239 812 242 812 244 813 240 813 239 813 238 814 371 814 236 814 233 815 232 815 347 815 233 816 347 816 346 816 233 817 346 817 351 817 238 818 369 818 371 818 238 819 370 819 369 819 350 820 279 820 280 820 281 821 350 821 280 821 385 822 277 822 279 822 275 823 278 823 277 823 385 824 275 824 277 824 384 825 383 825 279 825 385 826 279 826 383 826 289 827 384 827 279 827 289 828 279 828 355 828 350 829 355 829 279 829 276 830 388 830 274 830 268 831 271 831 373 831 268 832 373 832 372 832 268 833 372 833 375 833 276 834 386 834 388 834 276 835 387 835 386 835 266 836 267 836 264 836 269 837 264 837 267 837 265 838 264 838 269 838 263 839 414 839 261 839 255 840 258 840 390 840 255 841 390 841 389 841 255 842 389 842 394 842 263 843 412 843 414 843 263 844 413 844 412 844 393 845 253 845 254 845 256 846 393 846 254 846 416 847 251 847 253 847 249 848 252 848 251 848 416 849 249 849 251 849 431 850 415 850 253 850 416 851 253 851 415 851 299 852 431 852 253 852 299 853 253 853 398 853 393 854 398 854 253 854 243 855 246 855 421 855 243 856 421 856 420 856 243 857 420 857 423 857 250 858 417 858 419 858 250 859 418 859 417 859 250 860 419 860 248 860 299 861 430 861 431 861 299 862 398 862 397 862 299 863 397 863 403 863 424 864 367 864 366 864 424 865 366 865 425 865 368 866 425 866 366 866 426 867 367 867 424 867 426 868 365 868 367 868 422 869 425 869 368 869 289 870 382 870 384 870 289 871 355 871 354 871 289 872 354 872 360 872 376 873 410 873 409 873 376 874 409 874 377 874 411 875 377 875 409 875 378 876 410 876 376 876 435 877 408 877 410 877 435 878 410 878 378 878 411 879 374 879 377 879 296 880 299 880 403 880 435 881 434 881 408 881 433 882 435 882 378 882 310 883 289 883 360 883 210 884 205 884 204 884 209 885 210 885 204 885 206 886 209 886 204 886 206 887 207 887 209 887 217 888 212 888 211 888 216 889 217 889 211 889 213 890 216 890 211 890 213 891 214 891 216 891 224 892 219 892 218 892 223 893 224 893 218 893 220 894 223 894 218 894 220 895 221 895 223 895 231 896 226 896 225 896 230 897 231 897 225 897 227 898 230 898 225 898 227 899 228 899 230 899 436 900 434 900 435 900 437 901 432 901 434 901 437 902 434 902 436 902 438 903 435 903 433 903 438 904 436 904 435 904 439 905 433 905 432 905 438 906 433 906 439 906 439 907 432 907 437 907 245 908 237 908 240 908 244 909 245 909 240 909 422 910 368 910 237 910 245 911 422 911 237 911 238 912 237 912 370 912 281 913 282 913 350 913 233 914 351 914 282 914 276 915 275 915 387 915 262 916 270 916 374 916 411 917 262 917 374 917 265 918 269 918 270 918 262 919 265 919 270 919 268 920 375 920 270 920 263 921 262 921 413 921 256 922 257 922 393 922 255 923 394 923 257 923 250 924 249 924 418 924 243 925 423 925 245 925 439 926 437 926 436 926 438 927 439 927 436 927 440 928 441 928 442 928 443 929 442 929 441 929 444 930 442 930 445 930 446 931 445 931 442 931 447 932 442 932 444 932 447 933 448 933 442 933 449 934 442 934 448 934 450 935 440 935 442 935 451 936 450 936 442 936 452 937 451 937 442 937 449 938 452 938 442 938 446 939 442 939 443 939 453 940 454 940 441 940 455 941 441 941 454 941 456 942 441 942 440 942 457 943 441 943 456 943 457 944 453 944 441 944 455 945 443 945 441 945 458 946 459 946 454 946 455 947 454 947 459 947 453 948 458 948 454 948 460 949 461 949 459 949 462 950 459 950 461 950 463 951 459 951 464 951 458 952 464 952 459 952 465 953 460 953 459 953 463 954 465 954 459 954 455 955 459 955 462 955 466 956 467 956 461 956 468 957 461 957 467 957 466 958 461 958 460 958 462 959 461 959 468 959 469 960 470 960 467 960 471 961 467 961 470 961 466 962 472 962 467 962 473 963 467 963 472 963 473 964 474 964 467 964 475 965 467 965 474 965 469 966 467 966 475 966 468 967 467 967 471 967 476 968 477 968 470 968 471 969 470 969 477 969 469 970 476 970 470 970 478 971 479 971 477 971 480 972 477 972 479 972 481 973 478 973 477 973 482 974 481 974 477 974 483 975 482 975 477 975 484 976 485 976 477 976 483 977 477 977 485 977 486 978 484 978 477 978 487 979 486 979 477 979 488 980 487 980 477 980 476 981 488 981 477 981 471 982 477 982 480 982 489 983 490 983 479 983 491 984 479 984 490 984 492 985 479 985 478 985 492 986 493 986 479 986 494 987 479 987 493 987 495 988 489 988 479 988 496 989 495 989 479 989 497 990 496 990 479 990 494 991 497 991 479 991 480 992 479 992 491 992 498 993 499 993 490 993 500 994 490 994 499 994 501 995 490 995 489 995 502 996 490 996 501 996 502 997 498 997 490 997 491 998 490 998 500 998 503 999 504 999 499 999 500 1000 499 1000 504 1000 498 1001 503 1001 499 1001 505 1002 506 1002 504 1002 507 1003 504 1003 506 1003 508 1004 504 1004 509 1004 503 1005 509 1005 504 1005 510 1006 505 1006 504 1006 508 1007 510 1007 504 1007 500 1008 504 1008 507 1008 511 1009 512 1009 506 1009 513 1010 506 1010 512 1010 511 1011 506 1011 505 1011 507 1012 506 1012 513 1012 514 1013 515 1013 512 1013 516 1014 512 1014 515 1014 511 1015 517 1015 512 1015 518 1016 512 1016 517 1016 518 1017 519 1017 512 1017 520 1018 512 1018 519 1018 514 1019 512 1019 520 1019 513 1020 512 1020 516 1020 521 1021 445 1021 515 1021 516 1022 515 1022 445 1022 514 1023 521 1023 515 1023 522 1024 523 1024 445 1024 524 1025 445 1025 523 1025 525 1026 522 1026 445 1026 526 1027 525 1027 445 1027 527 1028 445 1028 524 1028 528 1029 444 1029 445 1029 527 1030 528 1030 445 1030 529 1031 526 1031 445 1031 521 1032 529 1032 445 1032 516 1033 445 1033 446 1033 530 1034 478 1034 481 1034 531 1035 492 1035 478 1035 531 1036 478 1036 530 1036 532 1037 481 1037 482 1037 532 1038 530 1038 481 1038 533 1039 534 1039 482 1039 535 1040 482 1040 534 1040 483 1041 536 1041 482 1041 533 1042 482 1042 536 1042 532 1043 482 1043 535 1043 494 1044 537 1044 534 1044 538 1045 534 1045 537 1045 533 1046 494 1046 534 1046 535 1047 534 1047 538 1047 494 1048 539 1048 537 1048 540 1049 537 1049 539 1049 538 1050 537 1050 540 1050 494 1051 493 1051 539 1051 541 1052 539 1052 493 1052 540 1053 539 1053 541 1053 542 1054 493 1054 492 1054 541 1055 493 1055 542 1055 542 1056 492 1056 531 1056 543 1057 489 1057 495 1057 544 1058 501 1058 489 1058 544 1059 489 1059 543 1059 545 1060 495 1060 496 1060 545 1061 543 1061 495 1061 546 1062 496 1062 497 1062 545 1063 496 1063 546 1063 547 1064 548 1064 497 1064 549 1065 497 1065 548 1065 494 1066 550 1066 497 1066 547 1067 497 1067 550 1067 546 1068 497 1068 549 1068 547 1069 551 1069 548 1069 552 1070 548 1070 551 1070 549 1071 548 1071 552 1071 547 1072 553 1072 551 1072 554 1073 551 1073 553 1073 552 1074 551 1074 554 1074 547 1075 501 1075 553 1075 555 1076 553 1076 501 1076 554 1077 553 1077 555 1077 547 1078 502 1078 501 1078 555 1079 501 1079 544 1079 503 1080 556 1080 509 1080 557 1081 509 1081 556 1081 508 1082 509 1082 558 1082 559 1083 558 1083 509 1083 559 1084 509 1084 557 1084 503 1085 560 1085 556 1085 561 1086 556 1086 560 1086 561 1087 557 1087 556 1087 562 1088 563 1088 560 1088 564 1089 560 1089 563 1089 503 1090 562 1090 560 1090 561 1091 560 1091 564 1091 565 1092 566 1092 563 1092 567 1093 563 1093 566 1093 562 1094 565 1094 563 1094 564 1095 563 1095 567 1095 568 1096 569 1096 566 1096 570 1097 566 1097 569 1097 571 1098 568 1098 566 1098 565 1099 571 1099 566 1099 567 1100 566 1100 570 1100 572 1101 573 1101 569 1101 574 1102 569 1102 573 1102 575 1103 572 1103 569 1103 576 1104 575 1104 569 1104 568 1105 576 1105 569 1105 570 1106 569 1106 574 1106 508 1107 558 1107 573 1107 577 1108 573 1108 558 1108 572 1109 508 1109 573 1109 574 1110 573 1110 577 1110 577 1111 558 1111 559 1111 578 1112 505 1112 510 1112 579 1113 511 1113 505 1113 579 1114 505 1114 578 1114 580 1115 510 1115 508 1115 580 1116 578 1116 510 1116 581 1117 508 1117 572 1117 580 1118 508 1118 581 1118 582 1119 572 1119 575 1119 581 1120 572 1120 582 1120 576 1121 583 1121 575 1121 584 1122 575 1122 583 1122 582 1123 575 1123 584 1123 518 1124 517 1124 583 1124 585 1125 583 1125 517 1125 576 1126 518 1126 583 1126 584 1127 583 1127 585 1127 586 1128 517 1128 511 1128 585 1129 517 1129 586 1129 586 1130 511 1130 579 1130 587 1131 519 1131 518 1131 588 1132 520 1132 519 1132 588 1133 519 1133 587 1133 589 1134 518 1134 576 1134 589 1135 587 1135 518 1135 590 1136 576 1136 568 1136 589 1137 576 1137 590 1137 591 1138 568 1138 571 1138 590 1139 568 1139 591 1139 565 1140 592 1140 571 1140 593 1141 571 1141 592 1141 591 1142 571 1142 593 1142 514 1143 594 1143 592 1143 595 1144 592 1144 594 1144 565 1145 596 1145 592 1145 597 1146 592 1146 596 1146 597 1147 514 1147 592 1147 593 1148 592 1148 595 1148 514 1149 520 1149 594 1149 598 1150 594 1150 520 1150 595 1151 594 1151 598 1151 598 1152 520 1152 588 1152 599 1153 523 1153 522 1153 600 1154 524 1154 523 1154 600 1155 523 1155 599 1155 601 1156 522 1156 525 1156 601 1157 599 1157 522 1157 526 1158 602 1158 525 1158 603 1159 525 1159 602 1159 601 1160 525 1160 603 1160 604 1161 605 1161 602 1161 606 1162 602 1162 605 1162 526 1163 604 1163 602 1163 603 1164 602 1164 606 1164 604 1165 607 1165 605 1165 608 1166 605 1166 607 1166 606 1167 605 1167 608 1167 604 1168 609 1168 607 1168 610 1169 607 1169 609 1169 608 1170 607 1170 610 1170 527 1171 524 1171 609 1171 611 1172 609 1172 524 1172 604 1173 527 1173 609 1173 610 1174 609 1174 611 1174 611 1175 524 1175 600 1175 612 1176 444 1176 528 1176 613 1177 447 1177 444 1177 613 1178 444 1178 612 1178 614 1179 528 1179 527 1179 614 1180 612 1180 528 1180 604 1181 615 1181 527 1181 616 1182 527 1182 615 1182 614 1183 527 1183 616 1183 449 1184 617 1184 615 1184 618 1185 615 1185 617 1185 604 1186 449 1186 615 1186 616 1187 615 1187 618 1187 449 1188 619 1188 617 1188 620 1189 617 1189 619 1189 618 1190 617 1190 620 1190 449 1191 448 1191 619 1191 621 1192 619 1192 448 1192 620 1193 619 1193 621 1193 622 1194 448 1194 447 1194 621 1195 448 1195 622 1195 622 1196 447 1196 613 1196 623 1197 440 1197 450 1197 624 1198 456 1198 440 1198 624 1199 440 1199 623 1199 625 1200 450 1200 451 1200 625 1201 623 1201 450 1201 626 1202 451 1202 452 1202 625 1203 451 1203 626 1203 627 1204 628 1204 452 1204 629 1205 452 1205 628 1205 449 1206 630 1206 452 1206 627 1207 452 1207 630 1207 626 1208 452 1208 629 1208 627 1209 631 1209 628 1209 632 1210 628 1210 631 1210 629 1211 628 1211 632 1211 627 1212 633 1212 631 1212 634 1213 631 1213 633 1213 632 1214 631 1214 634 1214 627 1215 456 1215 633 1215 635 1216 633 1216 456 1216 634 1217 633 1217 635 1217 627 1218 457 1218 456 1218 635 1219 456 1219 624 1219 458 1220 636 1220 464 1220 637 1221 464 1221 636 1221 463 1222 464 1222 638 1222 639 1223 638 1223 464 1223 639 1224 464 1224 637 1224 458 1225 640 1225 636 1225 641 1226 636 1226 640 1226 641 1227 637 1227 636 1227 642 1228 643 1228 640 1228 644 1229 640 1229 643 1229 458 1230 642 1230 640 1230 641 1231 640 1231 644 1231 645 1232 646 1232 643 1232 647 1233 643 1233 646 1233 642 1234 645 1234 643 1234 644 1235 643 1235 647 1235 648 1236 649 1236 646 1236 650 1237 646 1237 649 1237 651 1238 648 1238 646 1238 645 1239 651 1239 646 1239 647 1240 646 1240 650 1240 652 1241 653 1241 649 1241 654 1242 649 1242 653 1242 655 1243 652 1243 649 1243 656 1244 655 1244 649 1244 648 1245 656 1245 649 1245 650 1246 649 1246 654 1246 463 1247 638 1247 653 1247 657 1248 653 1248 638 1248 652 1249 463 1249 653 1249 654 1250 653 1250 657 1250 657 1251 638 1251 639 1251 658 1252 460 1252 465 1252 659 1253 466 1253 460 1253 659 1254 460 1254 658 1254 660 1255 465 1255 463 1255 660 1256 658 1256 465 1256 661 1257 463 1257 652 1257 660 1258 463 1258 661 1258 662 1259 652 1259 655 1259 661 1260 652 1260 662 1260 656 1261 663 1261 655 1261 664 1262 655 1262 663 1262 662 1263 655 1263 664 1263 473 1264 472 1264 663 1264 665 1265 663 1265 472 1265 656 1266 473 1266 663 1266 664 1267 663 1267 665 1267 666 1268 472 1268 466 1268 665 1269 472 1269 666 1269 666 1270 466 1270 659 1270 667 1271 474 1271 473 1271 668 1272 475 1272 474 1272 668 1273 474 1273 667 1273 669 1274 473 1274 656 1274 669 1275 667 1275 473 1275 670 1276 656 1276 648 1276 669 1277 656 1277 670 1277 671 1278 648 1278 651 1278 670 1279 648 1279 671 1279 645 1280 672 1280 651 1280 673 1281 651 1281 672 1281 671 1282 651 1282 673 1282 469 1283 674 1283 672 1283 675 1284 672 1284 674 1284 645 1285 676 1285 672 1285 677 1286 672 1286 676 1286 677 1287 469 1287 672 1287 673 1288 672 1288 675 1288 469 1289 475 1289 674 1289 678 1290 674 1290 475 1290 675 1291 674 1291 678 1291 678 1292 475 1292 668 1292 679 1293 485 1293 484 1293 680 1294 483 1294 485 1294 680 1295 485 1295 679 1295 681 1296 484 1296 486 1296 681 1297 679 1297 484 1297 487 1298 682 1298 486 1298 683 1299 486 1299 682 1299 681 1300 486 1300 683 1300 533 1301 684 1301 682 1301 685 1302 682 1302 684 1302 487 1303 533 1303 682 1303 683 1304 682 1304 685 1304 533 1305 686 1305 684 1305 687 1306 684 1306 686 1306 685 1307 684 1307 687 1307 533 1308 536 1308 686 1308 688 1309 686 1309 536 1309 687 1310 686 1310 688 1310 689 1311 536 1311 483 1311 688 1312 536 1312 689 1312 689 1313 483 1313 680 1313 645 1314 630 1314 676 1314 690 1315 676 1315 630 1315 677 1316 676 1316 691 1316 692 1317 691 1317 676 1317 692 1318 676 1318 690 1318 693 1319 630 1319 449 1319 627 1320 630 1320 645 1320 693 1321 690 1321 630 1321 694 1322 449 1322 604 1322 693 1323 449 1323 694 1323 695 1324 696 1324 604 1324 697 1325 604 1325 696 1325 695 1326 604 1326 526 1326 694 1327 604 1327 697 1327 597 1328 596 1328 696 1328 698 1329 696 1329 596 1329 695 1330 597 1330 696 1330 697 1331 696 1331 698 1331 565 1332 550 1332 596 1332 699 1333 596 1333 550 1333 698 1334 596 1334 699 1334 700 1335 550 1335 494 1335 547 1336 550 1336 565 1336 699 1337 550 1337 700 1337 701 1338 494 1338 533 1338 700 1339 494 1339 701 1339 702 1340 691 1340 533 1340 703 1341 533 1341 691 1341 702 1342 533 1342 487 1342 701 1343 533 1343 703 1343 702 1344 677 1344 691 1344 703 1345 691 1345 692 1345 704 1346 565 1346 562 1346 705 1347 547 1347 565 1347 705 1348 565 1348 704 1348 706 1349 562 1349 503 1349 707 1350 562 1350 706 1350 704 1351 562 1351 707 1351 708 1352 503 1352 498 1352 706 1353 503 1353 708 1353 709 1354 498 1354 502 1354 708 1355 498 1355 709 1355 710 1356 502 1356 547 1356 711 1357 709 1357 502 1357 711 1358 502 1358 710 1358 710 1359 547 1359 705 1359 712 1360 526 1360 529 1360 713 1361 695 1361 526 1361 713 1362 526 1362 712 1362 714 1363 529 1363 521 1363 715 1364 529 1364 714 1364 712 1365 529 1365 715 1365 716 1366 521 1366 514 1366 714 1367 521 1367 716 1367 717 1368 514 1368 597 1368 716 1369 514 1369 717 1369 718 1370 597 1370 695 1370 719 1371 717 1371 597 1371 719 1372 597 1372 718 1372 718 1373 695 1373 713 1373 720 1374 645 1374 642 1374 721 1375 627 1375 645 1375 721 1376 645 1376 720 1376 722 1377 642 1377 458 1377 723 1378 642 1378 722 1378 720 1379 642 1379 723 1379 724 1380 458 1380 453 1380 722 1381 458 1381 724 1381 725 1382 453 1382 457 1382 724 1383 453 1383 725 1383 726 1384 457 1384 627 1384 727 1385 725 1385 457 1385 727 1386 457 1386 726 1386 726 1387 627 1387 721 1387 728 1388 487 1388 488 1388 729 1389 702 1389 487 1389 729 1390 487 1390 728 1390 730 1391 488 1391 476 1391 731 1392 488 1392 730 1392 728 1393 488 1393 731 1393 732 1394 476 1394 469 1394 730 1395 476 1395 732 1395 733 1396 469 1396 677 1396 732 1397 469 1397 733 1397 734 1398 677 1398 702 1398 735 1399 733 1399 677 1399 735 1400 677 1400 734 1400 734 1401 702 1401 729 1401 736 1402 446 1402 443 1402 737 1403 443 1403 455 1403 737 1404 736 1404 443 1404 736 1405 516 1405 446 1405 738 1406 513 1406 516 1406 736 1407 738 1407 516 1407 739 1408 507 1408 513 1408 738 1409 739 1409 513 1409 740 1410 500 1410 507 1410 739 1411 740 1411 507 1411 741 1412 491 1412 500 1412 740 1413 741 1413 500 1413 742 1414 480 1414 491 1414 742 1415 491 1415 741 1415 742 1416 471 1416 480 1416 743 1417 468 1417 471 1417 742 1418 743 1418 471 1418 744 1419 462 1419 468 1419 743 1420 744 1420 468 1420 745 1421 455 1421 462 1421 744 1422 745 1422 462 1422 745 1423 737 1423 455 1423 746 1424 741 1424 740 1424 747 1425 742 1425 741 1425 747 1426 741 1426 746 1426 748 1427 740 1427 739 1427 748 1428 746 1428 740 1428 749 1429 739 1429 738 1429 748 1430 739 1430 749 1430 750 1431 738 1431 736 1431 749 1432 738 1432 750 1432 751 1433 736 1433 737 1433 750 1434 736 1434 751 1434 752 1435 737 1435 745 1435 751 1436 737 1436 752 1436 753 1437 745 1437 744 1437 752 1438 745 1438 753 1438 754 1439 744 1439 743 1439 753 1440 744 1440 754 1440 755 1441 743 1441 742 1441 754 1442 743 1442 755 1442 755 1443 742 1443 747 1443 611 1444 756 1444 757 1444 752 1445 757 1445 756 1445 612 1446 757 1446 758 1446 753 1447 758 1447 757 1447 610 1448 611 1448 757 1448 614 1449 610 1449 757 1449 614 1450 757 1450 612 1450 752 1451 753 1451 757 1451 759 1452 760 1452 756 1452 752 1453 756 1453 760 1453 600 1454 599 1454 756 1454 601 1455 756 1455 599 1455 611 1456 600 1456 756 1456 759 1457 756 1457 601 1457 761 1458 762 1458 760 1458 751 1459 760 1459 762 1459 763 1460 761 1460 760 1460 759 1461 763 1461 760 1461 751 1462 752 1462 760 1462 587 1463 764 1463 762 1463 751 1464 762 1464 764 1464 588 1465 587 1465 762 1465 598 1466 588 1466 762 1466 765 1467 598 1467 762 1467 761 1468 765 1468 762 1468 578 1469 766 1469 764 1469 750 1470 764 1470 766 1470 579 1471 578 1471 764 1471 587 1472 579 1472 764 1472 750 1473 751 1473 764 1473 578 1474 767 1474 766 1474 750 1475 766 1475 767 1475 561 1476 768 1476 767 1476 749 1477 767 1477 768 1477 559 1478 557 1478 767 1478 561 1479 767 1479 557 1479 581 1480 559 1480 767 1480 580 1481 767 1481 578 1481 580 1482 581 1482 767 1482 749 1483 750 1483 767 1483 769 1484 770 1484 768 1484 749 1485 768 1485 770 1485 564 1486 567 1486 768 1486 771 1487 768 1487 567 1487 561 1488 564 1488 768 1488 771 1489 769 1489 768 1489 543 1490 772 1490 770 1490 748 1491 770 1491 772 1491 544 1492 543 1492 770 1492 555 1493 544 1493 770 1493 773 1494 555 1494 770 1494 774 1495 773 1495 770 1495 775 1496 774 1496 770 1496 769 1497 775 1497 770 1497 748 1498 749 1498 770 1498 530 1499 776 1499 772 1499 748 1500 772 1500 776 1500 531 1501 530 1501 772 1501 542 1502 531 1502 772 1502 701 1503 542 1503 772 1503 545 1504 772 1504 543 1504 545 1505 546 1505 772 1505 701 1506 772 1506 546 1506 689 1507 777 1507 776 1507 746 1508 776 1508 777 1508 532 1509 776 1509 530 1509 688 1510 776 1510 532 1510 688 1511 689 1511 776 1511 748 1512 776 1512 746 1512 778 1513 779 1513 777 1513 746 1514 777 1514 779 1514 680 1515 679 1515 777 1515 681 1516 777 1516 679 1516 689 1517 680 1517 777 1517 778 1518 777 1518 681 1518 780 1519 781 1519 779 1519 747 1520 779 1520 781 1520 782 1521 780 1521 779 1521 778 1522 782 1522 779 1522 747 1523 746 1523 779 1523 667 1524 783 1524 781 1524 747 1525 781 1525 783 1525 668 1526 667 1526 781 1526 678 1527 668 1527 781 1527 784 1528 678 1528 781 1528 780 1529 784 1529 781 1529 658 1530 785 1530 783 1530 755 1531 783 1531 785 1531 659 1532 658 1532 783 1532 667 1533 659 1533 783 1533 755 1534 747 1534 783 1534 658 1535 786 1535 785 1535 755 1536 785 1536 786 1536 641 1537 787 1537 786 1537 754 1538 786 1538 787 1538 639 1539 637 1539 786 1539 641 1540 786 1540 637 1540 661 1541 639 1541 786 1541 660 1542 786 1542 658 1542 660 1543 661 1543 786 1543 754 1544 755 1544 786 1544 788 1545 789 1545 787 1545 754 1546 787 1546 789 1546 644 1547 647 1547 787 1547 790 1548 787 1548 647 1548 641 1549 644 1549 787 1549 790 1550 788 1550 787 1550 623 1551 758 1551 789 1551 753 1552 789 1552 758 1552 624 1553 623 1553 789 1553 635 1554 624 1554 789 1554 791 1555 635 1555 789 1555 792 1556 791 1556 789 1556 793 1557 792 1557 789 1557 788 1558 793 1558 789 1558 753 1559 754 1559 789 1559 613 1560 612 1560 758 1560 622 1561 613 1561 758 1561 694 1562 622 1562 758 1562 625 1563 758 1563 623 1563 625 1564 626 1564 758 1564 694 1565 758 1565 626 1565 701 1566 541 1566 542 1566 703 1567 540 1567 541 1567 701 1568 703 1568 541 1568 703 1569 538 1569 540 1569 703 1570 535 1570 538 1570 703 1571 532 1571 535 1571 703 1572 688 1572 532 1572 773 1573 554 1573 555 1573 701 1574 552 1574 554 1574 773 1575 701 1575 554 1575 701 1576 549 1576 552 1576 701 1577 546 1577 549 1577 582 1578 577 1578 559 1578 581 1579 582 1579 559 1579 591 1580 574 1580 577 1580 582 1581 584 1581 577 1581 591 1582 577 1582 584 1582 593 1583 570 1583 574 1583 591 1584 593 1584 574 1584 765 1585 567 1585 570 1585 765 1586 570 1586 593 1586 765 1587 771 1587 567 1587 587 1588 586 1588 579 1588 590 1589 585 1589 586 1589 589 1590 586 1590 587 1590 589 1591 590 1591 586 1591 591 1592 584 1592 585 1592 590 1593 591 1593 585 1593 765 1594 595 1594 598 1594 765 1595 593 1595 595 1595 698 1596 608 1596 610 1596 697 1597 610 1597 614 1597 697 1598 698 1598 610 1598 698 1599 606 1599 608 1599 698 1600 603 1600 606 1600 698 1601 601 1601 603 1601 794 1602 601 1602 698 1602 759 1603 601 1603 794 1603 694 1604 621 1604 622 1604 697 1605 620 1605 621 1605 694 1606 697 1606 621 1606 697 1607 618 1607 620 1607 697 1608 616 1608 618 1608 697 1609 614 1609 616 1609 791 1610 634 1610 635 1610 694 1611 632 1611 634 1611 791 1612 694 1612 634 1612 694 1613 629 1613 632 1613 694 1614 626 1614 629 1614 662 1615 657 1615 639 1615 661 1616 662 1616 639 1616 671 1617 654 1617 657 1617 662 1618 664 1618 657 1618 671 1619 657 1619 664 1619 673 1620 650 1620 654 1620 671 1621 673 1621 654 1621 784 1622 647 1622 650 1622 784 1623 650 1623 673 1623 784 1624 790 1624 647 1624 667 1625 666 1625 659 1625 670 1626 665 1626 666 1626 669 1627 666 1627 667 1627 669 1628 670 1628 666 1628 671 1629 664 1629 665 1629 670 1630 671 1630 665 1630 784 1631 675 1631 678 1631 784 1632 673 1632 675 1632 692 1633 687 1633 688 1633 703 1634 692 1634 688 1634 692 1635 685 1635 687 1635 692 1636 683 1636 685 1636 692 1637 681 1637 683 1637 795 1638 681 1638 692 1638 778 1639 681 1639 795 1639 796 1640 692 1640 690 1640 797 1641 690 1641 693 1641 797 1642 790 1642 690 1642 798 1643 690 1643 790 1643 799 1644 796 1644 690 1644 798 1645 799 1645 690 1645 796 1646 795 1646 692 1646 773 1647 700 1647 701 1647 800 1648 699 1648 700 1648 801 1649 802 1649 700 1649 800 1650 700 1650 802 1650 773 1651 801 1651 700 1651 803 1652 698 1652 699 1652 800 1653 771 1653 699 1653 804 1654 699 1654 771 1654 805 1655 803 1655 699 1655 804 1656 805 1656 699 1656 803 1657 794 1657 698 1657 791 1658 693 1658 694 1658 806 1659 807 1659 693 1659 797 1660 693 1660 807 1660 791 1661 806 1661 693 1661 704 1662 802 1662 801 1662 707 1663 800 1663 802 1663 704 1664 707 1664 802 1664 705 1665 801 1665 773 1665 705 1666 704 1666 801 1666 710 1667 773 1667 774 1667 710 1668 705 1668 773 1668 711 1669 774 1669 775 1669 711 1670 710 1670 774 1670 709 1671 775 1671 769 1671 711 1672 775 1672 709 1672 708 1673 769 1673 771 1673 708 1674 709 1674 769 1674 706 1675 771 1675 800 1675 765 1676 804 1676 771 1676 706 1677 708 1677 771 1677 707 1678 706 1678 800 1678 712 1679 794 1679 803 1679 715 1680 759 1680 794 1680 712 1681 715 1681 794 1681 713 1682 803 1682 805 1682 713 1683 712 1683 803 1683 718 1684 805 1684 804 1684 718 1685 713 1685 805 1685 719 1686 804 1686 765 1686 719 1687 718 1687 804 1687 717 1688 765 1688 761 1688 719 1689 765 1689 717 1689 716 1690 761 1690 763 1690 716 1691 717 1691 761 1691 714 1692 763 1692 759 1692 714 1693 716 1693 763 1693 715 1694 714 1694 759 1694 720 1695 807 1695 806 1695 723 1696 797 1696 807 1696 720 1697 723 1697 807 1697 721 1698 806 1698 791 1698 721 1699 720 1699 806 1699 726 1700 791 1700 792 1700 726 1701 721 1701 791 1701 727 1702 792 1702 793 1702 727 1703 726 1703 792 1703 725 1704 793 1704 788 1704 727 1705 793 1705 725 1705 724 1706 788 1706 790 1706 724 1707 725 1707 788 1707 722 1708 790 1708 797 1708 784 1709 798 1709 790 1709 722 1710 724 1710 790 1710 723 1711 722 1711 797 1711 728 1712 795 1712 796 1712 731 1713 778 1713 795 1713 728 1714 731 1714 795 1714 729 1715 796 1715 799 1715 729 1716 728 1716 796 1716 734 1717 799 1717 798 1717 734 1718 729 1718 799 1718 735 1719 798 1719 784 1719 735 1720 734 1720 798 1720 733 1721 784 1721 780 1721 735 1722 784 1722 733 1722 732 1723 780 1723 782 1723 732 1724 733 1724 780 1724 730 1725 782 1725 778 1725 730 1726 732 1726 782 1726 731 1727 730 1727 778 1727 808 1728 809 1728 810 1728 811 1729 810 1729 809 1729 812 1730 808 1730 810 1730 813 1731 812 1731 810 1731 814 1732 810 1732 811 1732 815 1733 810 1733 814 1733 813 1734 810 1734 815 1734 816 1735 817 1735 809 1735 818 1736 809 1736 817 1736 819 1737 809 1737 808 1737 820 1738 809 1738 821 1738 822 1739 821 1739 809 1739 823 1740 809 1740 820 1740 822 1741 809 1741 824 1741 825 1742 824 1742 809 1742 826 1743 816 1743 809 1743 827 1744 826 1744 809 1744 828 1745 827 1745 809 1745 829 1746 828 1746 809 1746 830 1747 829 1747 809 1747 823 1748 830 1748 809 1748 831 1749 825 1749 809 1749 832 1750 831 1750 809 1750 833 1751 832 1751 809 1751 834 1752 833 1752 809 1752 819 1753 834 1753 809 1753 818 1754 811 1754 809 1754 835 1755 836 1755 817 1755 837 1756 817 1756 836 1756 838 1757 835 1757 817 1757 839 1758 838 1758 817 1758 840 1759 839 1759 817 1759 841 1760 817 1760 816 1760 841 1761 840 1761 817 1761 842 1762 817 1762 837 1762 843 1763 817 1763 842 1763 843 1764 818 1764 817 1764 844 1765 845 1765 836 1765 846 1766 836 1766 845 1766 847 1767 836 1767 835 1767 848 1768 836 1768 847 1768 849 1769 844 1769 836 1769 848 1770 849 1770 836 1770 837 1771 836 1771 846 1771 850 1772 851 1772 845 1772 852 1773 845 1773 851 1773 844 1774 850 1774 845 1774 846 1775 845 1775 852 1775 853 1776 854 1776 851 1776 855 1777 851 1777 854 1777 856 1778 853 1778 851 1778 857 1779 856 1779 851 1779 850 1780 857 1780 851 1780 852 1781 851 1781 855 1781 858 1782 859 1782 854 1782 860 1783 854 1783 859 1783 861 1784 854 1784 853 1784 861 1785 858 1785 854 1785 855 1786 854 1786 860 1786 862 1787 863 1787 859 1787 864 1788 859 1788 863 1788 865 1789 859 1789 858 1789 866 1790 862 1790 859 1790 867 1791 866 1791 859 1791 865 1792 867 1792 859 1792 860 1793 859 1793 864 1793 868 1794 869 1794 863 1794 870 1795 863 1795 869 1795 871 1796 863 1796 862 1796 871 1797 872 1797 863 1797 868 1798 863 1798 872 1798 864 1799 863 1799 870 1799 873 1800 808 1800 869 1800 874 1801 869 1801 808 1801 875 1802 876 1802 869 1802 877 1803 869 1803 876 1803 878 1804 875 1804 869 1804 868 1805 878 1805 869 1805 879 1806 869 1806 880 1806 881 1807 880 1807 869 1807 882 1808 869 1808 879 1808 883 1809 869 1809 882 1809 884 1810 869 1810 883 1810 873 1811 869 1811 884 1811 885 1812 881 1812 869 1812 877 1813 885 1813 869 1813 870 1814 869 1814 874 1814 886 1815 808 1815 812 1815 887 1816 808 1816 873 1816 888 1817 819 1817 808 1817 887 1818 888 1818 808 1818 874 1819 808 1819 889 1819 886 1820 889 1820 808 1820 890 1821 812 1821 813 1821 890 1822 886 1822 812 1822 891 1823 853 1823 856 1823 892 1824 861 1824 853 1824 892 1825 853 1825 891 1825 893 1826 856 1826 857 1826 893 1827 891 1827 856 1827 850 1828 894 1828 857 1828 895 1829 857 1829 894 1829 893 1830 857 1830 895 1830 865 1831 858 1831 894 1831 896 1832 894 1832 858 1832 897 1833 894 1833 850 1833 865 1834 894 1834 897 1834 895 1835 894 1835 896 1835 898 1836 858 1836 861 1836 896 1837 858 1837 898 1837 898 1838 861 1838 892 1838 899 1839 862 1839 866 1839 900 1840 871 1840 862 1840 900 1841 862 1841 899 1841 867 1842 901 1842 866 1842 902 1843 866 1843 901 1843 902 1844 899 1844 866 1844 867 1845 903 1845 901 1845 904 1846 901 1846 903 1846 902 1847 901 1847 904 1847 868 1848 872 1848 903 1848 905 1849 903 1849 872 1849 867 1850 868 1850 903 1850 904 1851 903 1851 905 1851 906 1852 872 1852 871 1852 905 1853 872 1853 906 1853 906 1854 871 1854 900 1854 907 1855 876 1855 875 1855 908 1856 876 1856 909 1856 910 1857 909 1857 876 1857 877 1858 876 1858 911 1858 908 1859 911 1859 876 1859 910 1860 876 1860 907 1860 912 1861 875 1861 878 1861 912 1862 907 1862 875 1862 913 1863 914 1863 878 1863 915 1864 878 1864 914 1864 868 1865 913 1865 878 1865 912 1866 878 1866 915 1866 908 1867 916 1867 914 1867 917 1868 914 1868 916 1868 913 1869 908 1869 914 1869 915 1870 914 1870 917 1870 908 1871 909 1871 916 1871 918 1872 916 1872 909 1872 917 1873 916 1873 918 1873 918 1874 909 1874 910 1874 919 1875 920 1875 921 1875 922 1876 921 1876 920 1876 919 1877 921 1877 923 1877 924 1878 923 1878 921 1878 924 1879 921 1879 922 1879 877 1880 911 1880 920 1880 925 1881 920 1881 911 1881 919 1882 877 1882 920 1882 925 1883 922 1883 920 1883 908 1884 926 1884 911 1884 927 1885 911 1885 926 1885 925 1886 911 1886 927 1886 928 1887 929 1887 926 1887 930 1888 926 1888 929 1888 908 1889 928 1889 926 1889 927 1890 926 1890 930 1890 928 1891 923 1891 929 1891 931 1892 929 1892 923 1892 930 1893 929 1893 931 1893 928 1894 919 1894 923 1894 931 1895 923 1895 924 1895 932 1896 933 1896 934 1896 935 1897 934 1897 933 1897 936 1898 934 1898 937 1898 938 1899 937 1899 934 1899 936 1900 932 1900 934 1900 938 1901 934 1901 935 1901 932 1902 939 1902 933 1902 940 1903 933 1903 939 1903 940 1904 935 1904 933 1904 919 1905 941 1905 939 1905 942 1906 939 1906 941 1906 932 1907 919 1907 939 1907 940 1908 939 1908 942 1908 943 1909 944 1909 941 1909 945 1910 941 1910 944 1910 943 1911 941 1911 919 1911 942 1912 941 1912 945 1912 936 1913 937 1913 944 1913 946 1914 944 1914 937 1914 947 1915 936 1915 944 1915 943 1916 947 1916 944 1916 945 1917 944 1917 946 1917 946 1918 937 1918 938 1918 948 1919 949 1919 950 1919 951 1920 950 1920 949 1920 952 1921 950 1921 953 1921 954 1922 953 1922 950 1922 948 1923 950 1923 952 1923 954 1924 950 1924 951 1924 955 1925 956 1925 949 1925 957 1926 949 1926 956 1926 958 1927 959 1927 949 1927 955 1928 949 1928 959 1928 948 1929 958 1929 949 1929 957 1930 951 1930 949 1930 955 1931 960 1931 956 1931 961 1932 956 1932 960 1932 957 1933 956 1933 961 1933 841 1934 962 1934 960 1934 963 1935 960 1935 962 1935 955 1936 841 1936 960 1936 961 1937 960 1937 963 1937 841 1938 953 1938 962 1938 964 1939 962 1939 953 1939 963 1940 962 1940 964 1940 841 1941 952 1941 953 1941 964 1942 953 1942 954 1942 965 1943 835 1943 838 1943 966 1944 847 1944 835 1944 966 1945 835 1945 965 1945 967 1946 838 1946 839 1946 967 1947 965 1947 838 1947 840 1948 968 1948 839 1948 969 1949 839 1949 968 1949 967 1950 839 1950 969 1950 848 1951 970 1951 968 1951 971 1952 968 1952 970 1952 840 1953 848 1953 968 1953 969 1954 968 1954 971 1954 848 1955 847 1955 970 1955 972 1956 970 1956 847 1956 971 1957 970 1957 972 1957 972 1958 847 1958 966 1958 973 1959 850 1959 844 1959 974 1960 897 1960 850 1960 974 1961 850 1961 973 1961 975 1962 844 1962 849 1962 975 1963 973 1963 844 1963 848 1964 976 1964 849 1964 977 1965 849 1965 976 1965 975 1966 849 1966 977 1966 978 1967 979 1967 976 1967 980 1968 976 1968 979 1968 848 1969 978 1969 976 1969 977 1970 976 1970 980 1970 978 1971 897 1971 979 1971 981 1972 979 1972 897 1972 980 1973 979 1973 981 1973 978 1974 865 1974 897 1974 981 1975 897 1975 974 1975 982 1976 983 1976 821 1976 984 1977 821 1977 983 1977 985 1978 820 1978 821 1978 822 1979 986 1979 821 1979 987 1980 821 1980 986 1980 988 1981 982 1981 821 1981 987 1982 988 1982 821 1982 985 1983 821 1983 984 1983 982 1984 989 1984 983 1984 990 1985 983 1985 989 1985 990 1986 984 1986 983 1986 991 1987 992 1987 989 1987 993 1988 989 1988 992 1988 994 1989 991 1989 989 1989 982 1990 994 1990 989 1990 990 1991 989 1991 993 1991 995 1992 996 1992 992 1992 997 1993 992 1993 996 1993 991 1994 998 1994 992 1994 995 1995 992 1995 998 1995 993 1996 992 1996 997 1996 999 1997 820 1997 996 1997 1000 1998 996 1998 820 1998 995 1999 1001 1999 996 1999 999 2000 996 2000 1001 2000 997 2001 996 2001 1000 2001 1002 2002 823 2002 820 2002 999 2003 1002 2003 820 2003 1000 2004 820 2004 985 2004 1003 2005 1004 2005 824 2005 1005 2006 824 2006 1004 2006 1006 2007 822 2007 824 2007 1007 2008 1003 2008 824 2008 825 2009 1007 2009 824 2009 1006 2010 824 2010 1005 2010 1008 2011 1009 2011 1004 2011 1010 2012 1004 2012 1009 2012 1003 2013 1008 2013 1004 2013 1010 2014 1005 2014 1004 2014 1008 2015 1011 2015 1009 2015 1012 2016 1009 2016 1011 2016 1010 2017 1009 2017 1012 2017 1013 2018 986 2018 1011 2018 1014 2019 1011 2019 986 2019 1015 2020 1013 2020 1011 2020 1016 2021 1015 2021 1011 2021 1017 2022 1016 2022 1011 2022 1008 2023 1017 2023 1011 2023 1012 2024 1011 2024 1014 2024 1018 2025 986 2025 822 2025 1013 2026 987 2026 986 2026 1014 2027 986 2027 1018 2027 1018 2028 822 2028 1006 2028 948 2029 952 2029 1019 2029 1020 2030 1019 2030 952 2030 948 2031 1019 2031 1021 2031 1022 2032 1021 2032 1019 2032 1022 2033 1019 2033 1020 2033 841 2034 816 2034 952 2034 1023 2035 952 2035 816 2035 1023 2036 1020 2036 952 2036 826 2037 1024 2037 816 2037 1025 2038 816 2038 1024 2038 1023 2039 816 2039 1025 2039 1026 2040 1027 2040 1024 2040 1028 2041 1024 2041 1027 2041 1026 2042 1024 2042 826 2042 1025 2043 1024 2043 1028 2043 1026 2044 1021 2044 1027 2044 1029 2045 1027 2045 1021 2045 1028 2046 1027 2046 1029 2046 1026 2047 948 2047 1021 2047 1029 2048 1021 2048 1022 2048 1030 2049 1031 2049 1032 2049 1033 2050 1032 2050 1031 2050 1030 2051 1032 2051 1034 2051 1035 2052 1034 2052 1032 2052 1035 2053 1032 2053 1033 2053 1026 2054 826 2054 1031 2054 1036 2055 1031 2055 826 2055 1037 2056 1026 2056 1031 2056 1038 2057 1037 2057 1031 2057 1039 2058 1038 2058 1031 2058 1030 2059 1039 2059 1031 2059 1036 2060 1033 2060 1031 2060 827 2061 1040 2061 826 2061 1041 2062 826 2062 1040 2062 1036 2063 826 2063 1041 2063 1042 2064 1043 2064 1040 2064 1044 2065 1040 2065 1043 2065 1042 2066 1040 2066 827 2066 1041 2067 1040 2067 1044 2067 1042 2068 1034 2068 1043 2068 1045 2069 1043 2069 1034 2069 1044 2070 1043 2070 1045 2070 1042 2071 1030 2071 1034 2071 1045 2072 1034 2072 1035 2072 1046 2073 1047 2073 1048 2073 1049 2074 1048 2074 1047 2074 1046 2075 1048 2075 1050 2075 1051 2076 1050 2076 1048 2076 1051 2077 1048 2077 1049 2077 1042 2078 827 2078 1047 2078 1052 2079 1047 2079 827 2079 1046 2080 1053 2080 1047 2080 1054 2081 1047 2081 1053 2081 1055 2082 1047 2082 1054 2082 1055 2083 1042 2083 1047 2083 1052 2084 1049 2084 1047 2084 828 2085 1056 2085 827 2085 1057 2086 827 2086 1056 2086 1052 2087 827 2087 1057 2087 1058 2088 1059 2088 1056 2088 1060 2089 1056 2089 1059 2089 1058 2090 1056 2090 828 2090 1057 2091 1056 2091 1060 2091 1058 2092 1050 2092 1059 2092 1061 2093 1059 2093 1050 2093 1060 2094 1059 2094 1061 2094 1058 2095 1046 2095 1050 2095 1061 2096 1050 2096 1051 2096 1062 2097 1063 2097 1064 2097 1065 2098 1064 2098 1063 2098 1062 2099 1064 2099 1066 2099 1067 2100 1066 2100 1064 2100 1067 2101 1064 2101 1065 2101 1058 2102 828 2102 1063 2102 1068 2103 1063 2103 828 2103 1062 2104 1069 2104 1063 2104 1070 2105 1063 2105 1069 2105 1071 2106 1063 2106 1070 2106 1071 2107 1058 2107 1063 2107 1068 2108 1065 2108 1063 2108 829 2109 1072 2109 828 2109 1073 2110 828 2110 1072 2110 1068 2111 828 2111 1073 2111 1074 2112 1075 2112 1072 2112 1076 2113 1072 2113 1075 2113 1074 2114 1072 2114 829 2114 1073 2115 1072 2115 1076 2115 1074 2116 1066 2116 1075 2116 1077 2117 1075 2117 1066 2117 1076 2118 1075 2118 1077 2118 1074 2119 1062 2119 1066 2119 1077 2120 1066 2120 1067 2120 1078 2121 1079 2121 1080 2121 1081 2122 1080 2122 1079 2122 1078 2123 1080 2123 1082 2123 1083 2124 1082 2124 1080 2124 1083 2125 1080 2125 1081 2125 1074 2126 829 2126 1079 2126 1084 2127 1079 2127 829 2127 1085 2128 1074 2128 1079 2128 1086 2129 1085 2129 1079 2129 1087 2130 1086 2130 1079 2130 1078 2131 1087 2131 1079 2131 1084 2132 1081 2132 1079 2132 1088 2133 829 2133 830 2133 1084 2134 829 2134 1088 2134 823 2135 1089 2135 830 2135 1090 2136 830 2136 1089 2136 1088 2137 830 2137 1090 2137 823 2138 1082 2138 1089 2138 1091 2139 1089 2139 1082 2139 1090 2140 1089 2140 1091 2140 823 2141 1078 2141 1082 2141 1091 2142 1082 2142 1083 2142 881 2143 1092 2143 880 2143 1093 2144 880 2144 1092 2144 1094 2145 879 2145 880 2145 1094 2146 880 2146 1093 2146 1095 2147 1096 2147 1092 2147 1097 2148 1092 2148 1096 2148 1095 2149 1092 2149 881 2149 1097 2150 1093 2150 1092 2150 1095 2151 1098 2151 1096 2151 1099 2152 1096 2152 1098 2152 1097 2153 1096 2153 1099 2153 1095 2154 1100 2154 1098 2154 1101 2155 1098 2155 1100 2155 1099 2156 1098 2156 1101 2156 1102 2157 879 2157 1100 2157 1103 2158 1100 2158 879 2158 1104 2159 1102 2159 1100 2159 1095 2160 1105 2160 1100 2160 1106 2161 1100 2161 1105 2161 1106 2162 1104 2162 1100 2162 1101 2163 1100 2163 1103 2163 882 2164 879 2164 1102 2164 1103 2165 879 2165 1094 2165 1104 2166 1107 2166 1102 2166 1108 2167 1102 2167 1107 2167 1109 2168 882 2168 1102 2168 1109 2169 1102 2169 1108 2169 1110 2170 1111 2170 1107 2170 1112 2171 1107 2171 1111 2171 1104 2172 1110 2172 1107 2172 1112 2173 1108 2173 1107 2173 1110 2174 1113 2174 1111 2174 1114 2175 1111 2175 1113 2175 1112 2176 1111 2176 1114 2176 1110 2177 1115 2177 1113 2177 1116 2178 1113 2178 1115 2178 1114 2179 1113 2179 1116 2179 1117 2180 882 2180 1115 2180 1118 2181 1115 2181 882 2181 1119 2182 1117 2182 1115 2182 1120 2183 1119 2183 1115 2183 1121 2184 1120 2184 1115 2184 1110 2185 1121 2185 1115 2185 1116 2186 1115 2186 1118 2186 883 2187 882 2187 1117 2187 1118 2188 882 2188 1109 2188 1119 2189 1122 2189 1117 2189 1123 2190 1117 2190 1122 2190 1124 2191 883 2191 1117 2191 1124 2192 1117 2192 1123 2192 1125 2193 1126 2193 1122 2193 1127 2194 1122 2194 1126 2194 1119 2195 1125 2195 1122 2195 1127 2196 1123 2196 1122 2196 1125 2197 1128 2197 1126 2197 1129 2198 1126 2198 1128 2198 1127 2199 1126 2199 1129 2199 1125 2200 1130 2200 1128 2200 1131 2201 1128 2201 1130 2201 1129 2202 1128 2202 1131 2202 1132 2203 883 2203 1130 2203 1133 2204 1130 2204 883 2204 1134 2205 1132 2205 1130 2205 1135 2206 1134 2206 1130 2206 1136 2207 1135 2207 1130 2207 1125 2208 1136 2208 1130 2208 1131 2209 1130 2209 1133 2209 884 2210 883 2210 1132 2210 1133 2211 883 2211 1124 2211 1134 2212 1137 2212 1132 2212 1138 2213 1132 2213 1137 2213 1139 2214 884 2214 1132 2214 1139 2215 1132 2215 1138 2215 1140 2216 1141 2216 1137 2216 1142 2217 1137 2217 1141 2217 1134 2218 1140 2218 1137 2218 1142 2219 1138 2219 1137 2219 1140 2220 1143 2220 1141 2220 1144 2221 1141 2221 1143 2221 1142 2222 1141 2222 1144 2222 1140 2223 1145 2223 1143 2223 1146 2224 1143 2224 1145 2224 1144 2225 1143 2225 1146 2225 1147 2226 884 2226 1145 2226 1148 2227 1145 2227 884 2227 1149 2228 1147 2228 1145 2228 1140 2229 1150 2229 1145 2229 1151 2230 1145 2230 1150 2230 1151 2231 1149 2231 1145 2231 1146 2232 1145 2232 1148 2232 873 2233 884 2233 1147 2233 1148 2234 884 2234 1139 2234 1149 2235 1152 2235 1147 2235 1153 2236 1147 2236 1152 2236 1154 2237 873 2237 1147 2237 1154 2238 1147 2238 1153 2238 1155 2239 1156 2239 1152 2239 1157 2240 1152 2240 1156 2240 1149 2241 1155 2241 1152 2241 1157 2242 1153 2242 1152 2242 1155 2243 1158 2243 1156 2243 1159 2244 1156 2244 1158 2244 1157 2245 1156 2245 1159 2245 1155 2246 1160 2246 1158 2246 1161 2247 1158 2247 1160 2247 1159 2248 1158 2248 1161 2248 1162 2249 873 2249 1160 2249 1163 2250 1160 2250 873 2250 1164 2251 1165 2251 1160 2251 1166 2252 1160 2252 1165 2252 1167 2253 1164 2253 1160 2253 1168 2254 1167 2254 1160 2254 1166 2255 1169 2255 1160 2255 1162 2256 1160 2256 1169 2256 1155 2257 1168 2257 1160 2257 1161 2258 1160 2258 1163 2258 1162 2259 887 2259 873 2259 1163 2260 873 2260 1154 2260 1170 2261 998 2261 991 2261 1171 2262 995 2262 998 2262 1170 2263 1171 2263 998 2263 1172 2264 991 2264 994 2264 1170 2265 991 2265 1172 2265 982 2266 1173 2266 994 2266 1174 2267 994 2267 1173 2267 1172 2268 994 2268 1174 2268 982 2269 1175 2269 1173 2269 1176 2270 1173 2270 1175 2270 1174 2271 1173 2271 1176 2271 1177 2272 1165 2272 1175 2272 1178 2273 1175 2273 1165 2273 1177 2274 1175 2274 982 2274 1176 2275 1175 2275 1178 2275 1179 2276 1165 2276 1164 2276 1177 2277 1166 2277 1165 2277 1178 2278 1165 2278 1179 2278 1180 2279 1164 2279 1167 2279 1179 2280 1164 2280 1180 2280 1168 2281 1181 2281 1167 2281 1182 2282 1167 2282 1181 2282 1180 2283 1167 2283 1182 2283 999 2284 1183 2284 1181 2284 1184 2285 1181 2285 1183 2285 1185 2286 999 2286 1181 2286 1168 2287 1185 2287 1181 2287 1182 2288 1181 2288 1184 2288 999 2289 1001 2289 1183 2289 1186 2290 1183 2290 1001 2290 1184 2291 1183 2291 1186 2291 1187 2292 1001 2292 995 2292 1186 2293 1001 2293 1187 2293 1187 2294 995 2294 1171 2294 1188 2295 881 2295 885 2295 1189 2296 1095 2296 881 2296 1188 2297 1189 2297 881 2297 1190 2298 885 2298 877 2298 1188 2299 885 2299 1190 2299 1191 2300 877 2300 919 2300 1190 2301 877 2301 1191 2301 1192 2302 919 2302 932 2302 928 2303 943 2303 919 2303 1191 2304 919 2304 1192 2304 1193 2305 932 2305 936 2305 1192 2306 932 2306 1193 2306 1194 2307 936 2307 947 2307 1193 2308 936 2308 1194 2308 955 2309 959 2309 947 2309 1195 2310 947 2310 959 2310 955 2311 947 2311 943 2311 1194 2312 947 2312 1195 2312 1196 2313 959 2313 958 2313 1195 2314 959 2314 1196 2314 1197 2315 958 2315 948 2315 1196 2316 958 2316 1197 2316 1198 2317 948 2317 1026 2317 1197 2318 948 2318 1198 2318 1199 2319 1026 2319 1037 2319 1198 2320 1026 2320 1199 2320 1200 2321 1037 2321 1038 2321 1199 2322 1037 2322 1200 2322 1201 2323 1202 2323 1038 2323 1203 2324 1038 2324 1202 2324 1204 2325 1201 2325 1038 2325 1039 2326 1204 2326 1038 2326 1200 2327 1038 2327 1203 2327 1201 2328 1105 2328 1202 2328 1205 2329 1202 2329 1105 2329 1203 2330 1202 2330 1205 2330 1206 2331 1105 2331 1095 2331 1201 2332 1106 2332 1105 2332 1205 2333 1105 2333 1206 2333 1206 2334 1095 2334 1189 2334 1207 2335 982 2335 988 2335 1208 2336 1177 2336 982 2336 1208 2337 982 2337 1207 2337 1209 2338 988 2338 987 2338 1207 2339 988 2339 1209 2339 1210 2340 987 2340 1013 2340 1209 2341 987 2341 1210 2341 1211 2342 1013 2342 1015 2342 1210 2343 1013 2343 1211 2343 1212 2344 1015 2344 1016 2344 1211 2345 1015 2345 1212 2345 1213 2346 1016 2346 1017 2346 1212 2347 1016 2347 1213 2347 1008 2348 1214 2348 1017 2348 1215 2349 1017 2349 1214 2349 1213 2350 1017 2350 1215 2350 1008 2351 1216 2351 1214 2351 1217 2352 1214 2352 1216 2352 1215 2353 1214 2353 1217 2353 1218 2354 1169 2354 1216 2354 1219 2355 1216 2355 1169 2355 1218 2356 1216 2356 1008 2356 1217 2357 1216 2357 1219 2357 1220 2358 1169 2358 1166 2358 1218 2359 1162 2359 1169 2359 1219 2360 1169 2360 1220 2360 1221 2361 1166 2361 1177 2361 1220 2362 1166 2362 1221 2362 1208 2363 1221 2363 1177 2363 1222 2364 1008 2364 1003 2364 1223 2365 1218 2365 1008 2365 1223 2366 1008 2366 1222 2366 1224 2367 1003 2367 1007 2367 1224 2368 1222 2368 1003 2368 825 2369 1225 2369 1007 2369 1226 2370 1007 2370 1225 2370 1224 2371 1007 2371 1226 2371 825 2372 1227 2372 1225 2372 1228 2373 1225 2373 1227 2373 1226 2374 1225 2374 1228 2374 1229 2375 1230 2375 1227 2375 1231 2376 1227 2376 1230 2376 825 2377 1229 2377 1227 2377 1228 2378 1227 2378 1231 2378 1229 2379 1232 2379 1230 2379 1233 2380 1230 2380 1232 2380 1231 2381 1230 2381 1233 2381 1234 2382 1232 2382 1229 2382 1235 2383 1232 2383 1234 2383 1233 2384 1232 2384 1235 2384 1234 2385 1229 2385 825 2385 1236 2386 825 2386 831 2386 1234 2387 825 2387 1236 2387 1237 2388 831 2388 832 2388 1238 2389 831 2389 1237 2389 1236 2390 831 2390 1238 2390 1237 2391 832 2391 833 2391 1239 2392 833 2392 834 2392 1237 2393 833 2393 1239 2393 1240 2394 834 2394 819 2394 1239 2395 834 2395 1240 2395 1241 2396 819 2396 888 2396 1240 2397 819 2397 1241 2397 1242 2398 888 2398 887 2398 1241 2399 888 2399 1242 2399 1243 2400 887 2400 1162 2400 1242 2401 887 2401 1243 2401 1244 2402 1162 2402 1218 2402 1243 2403 1162 2403 1244 2403 1244 2404 1218 2404 1223 2404 1070 2405 1245 2405 1246 2405 1247 2406 1246 2406 1245 2406 1136 2407 1246 2407 1135 2407 1248 2408 1135 2408 1246 2408 1249 2409 1070 2409 1246 2409 1136 2410 1249 2410 1246 2410 1248 2411 1246 2411 1247 2411 1070 2412 1069 2412 1245 2412 1250 2413 1245 2413 1069 2413 1247 2414 1245 2414 1250 2414 1251 2415 1069 2415 1062 2415 1250 2416 1069 2416 1251 2416 1252 2417 1062 2417 1074 2417 1251 2418 1062 2418 1252 2418 1253 2419 1074 2419 1085 2419 1252 2420 1074 2420 1253 2420 1254 2421 1085 2421 1086 2421 1253 2422 1085 2422 1254 2422 1255 2423 1256 2423 1086 2423 1257 2424 1086 2424 1256 2424 1258 2425 1255 2425 1086 2425 1087 2426 1258 2426 1086 2426 1254 2427 1086 2427 1257 2427 1255 2428 1150 2428 1256 2428 1259 2429 1256 2429 1150 2429 1259 2430 1257 2430 1256 2430 1260 2431 1150 2431 1140 2431 1151 2432 1150 2432 1255 2432 1259 2433 1150 2433 1260 2433 1261 2434 1140 2434 1134 2434 1260 2435 1140 2435 1261 2435 1262 2436 1134 2436 1135 2436 1261 2437 1134 2437 1262 2437 1262 2438 1135 2438 1248 2438 1263 2439 1070 2439 1249 2439 1264 2440 1071 2440 1070 2440 1264 2441 1070 2441 1263 2441 1265 2442 1249 2442 1136 2442 1265 2443 1263 2443 1249 2443 1266 2444 1136 2444 1125 2444 1265 2445 1136 2445 1266 2445 1267 2446 1125 2446 1119 2446 1266 2447 1125 2447 1267 2447 1268 2448 1119 2448 1120 2448 1267 2449 1119 2449 1268 2449 1121 2450 1269 2450 1120 2450 1270 2451 1120 2451 1269 2451 1268 2452 1120 2452 1270 2452 1054 2453 1271 2453 1269 2453 1272 2454 1269 2454 1271 2454 1273 2455 1054 2455 1269 2455 1121 2456 1273 2456 1269 2456 1270 2457 1269 2457 1272 2457 1054 2458 1053 2458 1271 2458 1274 2459 1271 2459 1053 2459 1272 2460 1271 2460 1274 2460 1275 2461 1053 2461 1046 2461 1274 2462 1053 2462 1275 2462 1276 2463 1046 2463 1058 2463 1275 2464 1046 2464 1276 2464 1277 2465 1058 2465 1071 2465 1276 2466 1058 2466 1277 2466 1277 2467 1071 2467 1264 2467 1278 2468 1054 2468 1273 2468 1279 2469 1055 2469 1054 2469 1279 2470 1054 2470 1278 2470 1280 2471 1273 2471 1121 2471 1280 2472 1278 2472 1273 2472 1281 2473 1121 2473 1110 2473 1280 2474 1121 2474 1281 2474 1282 2475 1110 2475 1104 2475 1281 2476 1110 2476 1282 2476 1283 2477 1104 2477 1106 2477 1282 2478 1104 2478 1283 2478 1284 2479 1106 2479 1201 2479 1283 2480 1106 2480 1284 2480 1285 2481 1201 2481 1204 2481 1284 2482 1201 2482 1285 2482 1286 2483 1204 2483 1039 2483 1285 2484 1204 2484 1286 2484 1287 2485 1039 2485 1030 2485 1286 2486 1039 2486 1287 2486 1288 2487 1030 2487 1042 2487 1287 2488 1030 2488 1288 2488 1289 2489 1042 2489 1055 2489 1288 2490 1042 2490 1289 2490 1289 2491 1055 2491 1279 2491 1290 2492 1255 2492 1258 2492 1291 2493 1151 2493 1255 2493 1291 2494 1255 2494 1290 2494 1292 2495 1258 2495 1087 2495 1292 2496 1290 2496 1258 2496 1293 2497 1087 2497 1078 2497 1292 2498 1087 2498 1293 2498 1294 2499 1078 2499 823 2499 1293 2500 1078 2500 1294 2500 1295 2501 823 2501 1002 2501 1294 2502 823 2502 1295 2502 1296 2503 1002 2503 999 2503 1295 2504 1002 2504 1296 2504 1297 2505 999 2505 1185 2505 1296 2506 999 2506 1297 2506 1298 2507 1185 2507 1168 2507 1297 2508 1185 2508 1298 2508 1299 2509 1168 2509 1155 2509 1298 2510 1168 2510 1299 2510 1300 2511 1155 2511 1149 2511 1299 2512 1155 2512 1300 2512 1301 2513 1149 2513 1151 2513 1300 2514 1149 2514 1301 2514 1301 2515 1151 2515 1291 2515 1302 2516 943 2516 928 2516 1303 2517 955 2517 943 2517 1303 2518 943 2518 1302 2518 1304 2519 928 2519 908 2519 1302 2520 928 2520 1304 2520 1305 2521 908 2521 913 2521 1304 2522 908 2522 1305 2522 1306 2523 913 2523 868 2523 1305 2524 913 2524 1306 2524 1307 2525 868 2525 867 2525 1306 2526 868 2526 1307 2526 1308 2527 867 2527 865 2527 1307 2528 867 2528 1308 2528 1309 2529 865 2529 978 2529 1308 2530 865 2530 1309 2530 1310 2531 978 2531 848 2531 1310 2532 1309 2532 978 2532 1311 2533 848 2533 840 2533 1310 2534 848 2534 1311 2534 1312 2535 840 2535 841 2535 1311 2536 840 2536 1312 2536 1313 2537 841 2537 955 2537 1312 2538 841 2538 1313 2538 1313 2539 955 2539 1303 2539 864 2540 892 2540 891 2540 855 2541 891 2541 893 2541 860 2542 864 2542 891 2542 855 2543 860 2543 891 2543 864 2544 898 2544 892 2544 864 2545 896 2545 898 2545 855 2546 895 2546 896 2546 864 2547 1314 2547 896 2547 855 2548 896 2548 1314 2548 855 2549 893 2549 895 2549 870 2550 900 2550 899 2550 864 2551 899 2551 902 2551 864 2552 870 2552 899 2552 870 2553 906 2553 900 2553 1315 2554 905 2554 906 2554 870 2555 1315 2555 906 2555 1315 2556 904 2556 905 2556 1316 2557 902 2557 904 2557 1315 2558 1316 2558 904 2558 1316 2559 1314 2559 902 2559 864 2560 902 2560 1314 2560 1094 2561 910 2561 907 2561 874 2562 907 2562 912 2562 1094 2563 907 2563 874 2563 874 2564 889 2564 1094 2564 1094 2565 918 2565 910 2565 1317 2566 917 2566 918 2566 1318 2567 918 2567 927 2567 1094 2568 927 2568 918 2568 1319 2569 1317 2569 918 2569 1318 2570 1319 2570 918 2570 1320 2571 915 2571 917 2571 1317 2572 1320 2572 917 2572 1321 2573 912 2573 915 2573 1320 2574 1321 2574 915 2574 874 2575 912 2575 1321 2575 1094 2576 924 2576 922 2576 1094 2577 922 2577 925 2577 1322 2578 931 2578 924 2578 1323 2579 1322 2579 924 2579 1093 2580 1323 2580 924 2580 1094 2581 1093 2581 924 2581 1322 2582 930 2582 931 2582 1324 2583 927 2583 930 2583 1322 2584 1324 2584 930 2584 1094 2585 925 2585 927 2585 1324 2586 1318 2586 927 2586 951 2587 938 2587 935 2587 1097 2588 935 2588 940 2588 1020 2589 951 2589 935 2589 1101 2590 1020 2590 935 2590 1099 2591 1101 2591 935 2591 1097 2592 1099 2592 935 2592 951 2593 946 2593 938 2593 951 2594 945 2594 946 2594 1093 2595 942 2595 945 2595 957 2596 945 2596 951 2596 1325 2597 945 2597 957 2597 1093 2598 945 2598 1325 2598 1093 2599 940 2599 942 2599 1097 2600 940 2600 1093 2600 837 2601 954 2601 951 2601 837 2602 951 2602 1020 2602 837 2603 964 2603 954 2603 1326 2604 963 2604 964 2604 1327 2605 964 2605 1328 2605 837 2606 1328 2606 964 2606 1327 2607 1326 2607 964 2607 1326 2608 961 2608 963 2608 1329 2609 957 2609 961 2609 1326 2610 1329 2610 961 2610 1329 2611 1325 2611 957 2611 846 2612 966 2612 965 2612 837 2613 965 2613 967 2613 837 2614 846 2614 965 2614 846 2615 972 2615 966 2615 1330 2616 971 2616 972 2616 846 2617 1330 2617 972 2617 1331 2618 969 2618 971 2618 1330 2619 1331 2619 971 2619 1331 2620 967 2620 969 2620 837 2621 967 2621 1331 2621 855 2622 974 2622 973 2622 852 2623 973 2623 975 2623 852 2624 855 2624 973 2624 1332 2625 981 2625 974 2625 1314 2626 1332 2626 974 2626 855 2627 1314 2627 974 2627 1332 2628 980 2628 981 2628 1333 2629 977 2629 980 2629 1332 2630 1333 2630 980 2630 852 2631 975 2631 977 2631 852 2632 977 2632 1333 2632 1334 2633 1331 2633 1330 2633 837 2634 1331 2634 1328 2634 1335 2635 1328 2635 1331 2635 1335 2636 1331 2636 1334 2636 846 2637 1333 2637 1330 2637 1336 2638 1330 2638 1333 2638 1336 2639 1334 2639 1330 2639 1337 2640 1333 2640 1332 2640 846 2641 852 2641 1333 2641 1336 2642 1333 2642 1337 2642 1338 2643 1332 2643 1314 2643 1337 2644 1332 2644 1338 2644 1339 2645 1314 2645 1316 2645 1338 2646 1314 2646 1339 2646 1340 2647 1316 2647 1315 2647 1339 2648 1316 2648 1340 2648 874 2649 1321 2649 1315 2649 1341 2650 1315 2650 1321 2650 870 2651 874 2651 1315 2651 1340 2652 1315 2652 1341 2652 1342 2653 1321 2653 1320 2653 1341 2654 1321 2654 1342 2654 1343 2655 1320 2655 1317 2655 1342 2656 1320 2656 1343 2656 1344 2657 1345 2657 1317 2657 1346 2658 1317 2658 1345 2658 1319 2659 1344 2659 1317 2659 1343 2660 1317 2660 1346 2660 1327 2661 1328 2661 1345 2661 1347 2662 1345 2662 1328 2662 1344 2663 1327 2663 1345 2663 1347 2664 1346 2664 1345 2664 1347 2665 1328 2665 1335 2665 1348 2666 1325 2666 1329 2666 1093 2667 1325 2667 1323 2667 1349 2668 1323 2668 1325 2668 1349 2669 1325 2669 1348 2669 1350 2670 1329 2670 1326 2670 1350 2671 1348 2671 1329 2671 1351 2672 1326 2672 1327 2672 1351 2673 1350 2673 1326 2673 1352 2674 1327 2674 1344 2674 1353 2675 1351 2675 1327 2675 1352 2676 1353 2676 1327 2676 1352 2677 1344 2677 1319 2677 1354 2678 1319 2678 1318 2678 1354 2679 1352 2679 1319 2679 1355 2680 1318 2680 1324 2680 1355 2681 1354 2681 1318 2681 1356 2682 1324 2682 1322 2682 1356 2683 1355 2683 1324 2683 1349 2684 1322 2684 1323 2684 1357 2685 1356 2685 1322 2685 1349 2686 1357 2686 1322 2686 1108 2687 1022 2687 1020 2687 837 2688 1020 2688 1023 2688 1108 2689 1020 2689 1101 2689 1108 2690 1029 2690 1022 2690 1108 2691 1028 2691 1029 2691 1033 2692 1025 2692 1028 2692 1116 2693 1033 2693 1028 2693 1112 2694 1028 2694 1108 2694 1114 2695 1116 2695 1028 2695 1112 2696 1114 2696 1028 2696 837 2697 1023 2697 1025 2697 1036 2698 1025 2698 1033 2698 837 2699 1025 2699 1036 2699 1123 2700 1035 2700 1033 2700 1123 2701 1033 2701 1116 2701 1123 2702 1045 2702 1035 2702 1123 2703 1044 2703 1045 2703 1049 2704 1041 2704 1044 2704 1131 2705 1049 2705 1044 2705 1127 2706 1044 2706 1123 2706 1129 2707 1131 2707 1044 2707 1127 2708 1129 2708 1044 2708 837 2709 1036 2709 1041 2709 1052 2710 1041 2710 1049 2710 1052 2711 1057 2711 1041 2711 837 2712 1041 2712 1057 2712 1138 2713 1051 2713 1049 2713 1138 2714 1049 2714 1131 2714 1138 2715 1061 2715 1051 2715 1138 2716 1060 2716 1061 2716 1065 2717 1057 2717 1060 2717 1146 2718 1065 2718 1060 2718 1142 2719 1060 2719 1138 2719 1144 2720 1146 2720 1060 2720 1142 2721 1144 2721 1060 2721 1068 2722 1057 2722 1065 2722 1068 2723 1073 2723 1057 2723 837 2724 1057 2724 1073 2724 1153 2725 1067 2725 1065 2725 1153 2726 1065 2726 1146 2726 1153 2727 1077 2727 1067 2727 1153 2728 1076 2728 1077 2728 1081 2729 1073 2729 1076 2729 1161 2730 1081 2730 1076 2730 1157 2731 1076 2731 1153 2731 1159 2732 1161 2732 1076 2732 1157 2733 1159 2733 1076 2733 1084 2734 1073 2734 1081 2734 1084 2735 1088 2735 1073 2735 837 2736 1073 2736 1088 2736 1161 2737 1083 2737 1081 2737 889 2738 1091 2738 1083 2738 889 2739 1083 2739 1161 2739 1358 2740 1090 2740 1091 2740 889 2741 1358 2741 1091 2741 1359 2742 1088 2742 1090 2742 1360 2743 1359 2743 1090 2743 1358 2744 1360 2744 1090 2744 842 2745 1088 2745 1359 2745 842 2746 837 2746 1088 2746 1094 2747 889 2747 1109 2747 1109 2748 1101 2748 1103 2748 1109 2749 1103 2749 1094 2749 1109 2750 1108 2750 1101 2750 889 2751 1118 2751 1109 2751 1124 2752 1116 2752 1118 2752 889 2753 1124 2753 1118 2753 1124 2754 1123 2754 1116 2754 889 2755 1133 2755 1124 2755 1139 2756 1131 2756 1133 2756 889 2757 1139 2757 1133 2757 1139 2758 1138 2758 1131 2758 889 2759 1148 2759 1139 2759 1154 2760 1146 2760 1148 2760 889 2761 1154 2761 1148 2761 1154 2762 1153 2762 1146 2762 889 2763 1163 2763 1154 2763 889 2764 1161 2764 1163 2764 1361 2765 1359 2765 1360 2765 843 2766 842 2766 1359 2766 1361 2767 843 2767 1359 2767 1362 2768 1360 2768 1358 2768 1362 2769 1361 2769 1360 2769 889 2770 1363 2770 1358 2770 1364 2771 1358 2771 1363 2771 1362 2772 1358 2772 1364 2772 889 2773 1365 2773 1363 2773 1366 2774 1363 2774 1365 2774 1364 2775 1363 2775 1366 2775 889 2776 1367 2776 1365 2776 1368 2777 1365 2777 1367 2777 1366 2778 1365 2778 1368 2778 889 2779 1369 2779 1367 2779 1370 2780 1367 2780 1369 2780 1368 2781 1367 2781 1370 2781 889 2782 811 2782 1369 2782 818 2783 1369 2783 811 2783 1370 2784 1369 2784 818 2784 1371 2785 811 2785 889 2785 1372 2786 814 2786 811 2786 1371 2787 1372 2787 811 2787 1373 2788 889 2788 886 2788 1374 2789 889 2789 1373 2789 1375 2790 1376 2790 889 2790 1377 2791 889 2791 1376 2791 1378 2792 1375 2792 889 2792 1374 2793 1378 2793 889 2793 1379 2794 1380 2794 889 2794 1381 2795 889 2795 1380 2795 1377 2796 1379 2796 889 2796 1382 2797 1371 2797 889 2797 1383 2798 1382 2798 889 2798 1381 2799 1383 2799 889 2799 813 2800 814 2800 1384 2800 1385 2801 1384 2801 814 2801 1386 2802 813 2802 1384 2802 1387 2803 1386 2803 1384 2803 1385 2804 1387 2804 1384 2804 813 2805 815 2805 814 2805 1372 2806 1388 2806 814 2806 1389 2807 814 2807 1388 2807 1390 2808 1385 2808 814 2808 1391 2809 1390 2809 814 2809 1392 2810 1391 2810 814 2810 1393 2811 1392 2811 814 2811 1389 2812 1394 2812 814 2812 1395 2813 814 2813 1394 2813 1395 2814 1396 2814 814 2814 1397 2815 814 2815 1396 2815 1398 2816 814 2816 1397 2816 1398 2817 1393 2817 814 2817 1386 2818 890 2818 813 2818 1399 2819 1400 2819 886 2819 1373 2820 886 2820 1400 2820 890 2821 1399 2821 886 2821 1401 2822 1400 2822 1399 2822 1402 2823 1373 2823 1400 2823 1401 2824 1402 2824 1400 2824 1401 2825 1399 2825 890 2825 1401 2826 890 2826 1386 2826 1372 2827 1373 2827 1388 2827 1402 2828 1388 2828 1373 2828 1374 2829 1373 2829 1372 2829 1389 2830 1388 2830 1402 2830 1403 2831 1374 2831 1372 2831 1404 2832 1403 2832 1372 2832 1405 2833 1404 2833 1372 2833 1406 2834 1405 2834 1372 2834 1371 2835 1407 2835 1372 2835 1408 2836 1372 2836 1407 2836 1408 2837 1409 2837 1372 2837 1410 2838 1372 2838 1409 2838 1411 2839 1372 2839 1410 2839 1411 2840 1406 2840 1372 2840 1006 2841 818 2841 843 2841 1370 2842 818 2842 1006 2842 1000 2843 985 2843 843 2843 1014 2844 843 2844 985 2844 997 2845 1000 2845 843 2845 993 2846 997 2846 843 2846 1364 2847 993 2847 843 2847 1018 2848 1006 2848 843 2848 1014 2849 1018 2849 843 2849 1364 2850 843 2850 1361 2850 1401 2851 1386 2851 1402 2851 1387 2852 1402 2852 1386 2852 1412 2853 1413 2853 1402 2853 1414 2854 1402 2854 1413 2854 1387 2855 1412 2855 1402 2855 1415 2856 1416 2856 1402 2856 1417 2857 1402 2857 1416 2857 1414 2858 1415 2858 1402 2858 1418 2859 1389 2859 1402 2859 1419 2860 1418 2860 1402 2860 1420 2861 1419 2861 1402 2861 1417 2862 1420 2862 1402 2862 1421 2863 1422 2863 1423 2863 1424 2864 1423 2864 1422 2864 1425 2865 1421 2865 1423 2865 1426 2866 1423 2866 1424 2866 1427 2867 1423 2867 1426 2867 1428 2868 1425 2868 1423 2868 1427 2869 1428 2869 1423 2869 1421 2870 1429 2870 1422 2870 1430 2871 1422 2871 1429 2871 1431 2872 1424 2872 1422 2872 1431 2873 1422 2873 1430 2873 1432 2874 1433 2874 1429 2874 1434 2875 1429 2875 1433 2875 1421 2876 1432 2876 1429 2876 1434 2877 1430 2877 1429 2877 1435 2878 1436 2878 1433 2878 1437 2879 1433 2879 1436 2879 1432 2880 1435 2880 1433 2880 1434 2881 1433 2881 1437 2881 1438 2882 1439 2882 1436 2882 1437 2883 1436 2883 1439 2883 1435 2884 1438 2884 1436 2884 1440 2885 1439 2885 1438 2885 1440 2886 1441 2886 1439 2886 1442 2887 1439 2887 1441 2887 1437 2888 1439 2888 1442 2888 1443 2889 1438 2889 1435 2889 1444 2890 1440 2890 1438 2890 1445 2891 1438 2891 1443 2891 1445 2892 1444 2892 1438 2892 1421 2893 1435 2893 1432 2893 1446 2894 1435 2894 1421 2894 1447 2895 1443 2895 1435 2895 1448 2896 1447 2896 1435 2896 1446 2897 1448 2897 1435 2897 1425 2898 1446 2898 1421 2898 1449 2899 1450 2899 1441 2899 1451 2900 1441 2900 1450 2900 1440 2901 1449 2901 1441 2901 1442 2902 1441 2902 1451 2902 1426 2903 1424 2903 1450 2903 1431 2904 1450 2904 1424 2904 1449 2905 1426 2905 1450 2905 1451 2906 1450 2906 1431 2906 1440 2907 1426 2907 1449 2907 1452 2908 1426 2908 1440 2908 1453 2909 1427 2909 1426 2909 1454 2910 1453 2910 1426 2910 1452 2911 1454 2911 1426 2911 1444 2912 1452 2912 1440 2912 1451 2913 1455 2913 1456 2913 1354 2914 1456 2914 1455 2914 1442 2915 1451 2915 1456 2915 1457 2916 1442 2916 1456 2916 1355 2917 1457 2917 1456 2917 1355 2918 1456 2918 1354 2918 1451 2919 1458 2919 1455 2919 1352 2920 1455 2920 1458 2920 1354 2921 1455 2921 1352 2921 1459 2922 1460 2922 1458 2922 1352 2923 1458 2923 1460 2923 1451 2924 1459 2924 1458 2924 1459 2925 1461 2925 1460 2925 1353 2926 1460 2926 1461 2926 1352 2927 1460 2927 1353 2927 1431 2928 1462 2928 1461 2928 1351 2929 1461 2929 1462 2929 1459 2930 1431 2930 1461 2930 1353 2931 1461 2931 1351 2931 1431 2932 1463 2932 1462 2932 1351 2933 1462 2933 1463 2933 1430 2934 1464 2934 1463 2934 1350 2935 1463 2935 1464 2935 1431 2936 1430 2936 1463 2936 1351 2937 1463 2937 1350 2937 1430 2938 1465 2938 1464 2938 1350 2939 1464 2939 1465 2939 1434 2940 1465 2940 1430 2940 1434 2941 1466 2941 1465 2941 1348 2942 1465 2942 1466 2942 1350 2943 1465 2943 1348 2943 1451 2944 1431 2944 1459 2944 1457 2945 1467 2945 1442 2945 1437 2946 1442 2946 1467 2946 1434 2947 1468 2947 1466 2947 1349 2948 1466 2948 1468 2948 1349 2949 1348 2949 1466 2949 1469 2950 1470 2950 1468 2950 1349 2951 1468 2951 1470 2951 1434 2952 1469 2952 1468 2952 1469 2953 1471 2953 1470 2953 1357 2954 1470 2954 1471 2954 1349 2955 1470 2955 1357 2955 1437 2956 1472 2956 1471 2956 1356 2957 1471 2957 1472 2957 1469 2958 1437 2958 1471 2958 1357 2959 1471 2959 1356 2959 1437 2960 1467 2960 1472 2960 1356 2961 1472 2961 1467 2961 1355 2962 1467 2962 1457 2962 1356 2963 1467 2963 1355 2963 1434 2964 1437 2964 1469 2964 1473 2965 1343 2965 1346 2965 1474 2966 1346 2966 1347 2966 1474 2967 1473 2967 1346 2967 1475 2968 1342 2968 1343 2968 1473 2969 1475 2969 1343 2969 1476 2970 1341 2970 1342 2970 1477 2971 1476 2971 1342 2971 1478 2972 1477 2972 1342 2972 1479 2973 1478 2973 1342 2973 1480 2974 1479 2974 1342 2974 1481 2975 1480 2975 1342 2975 1482 2976 1481 2976 1342 2976 1483 2977 1482 2977 1342 2977 1484 2978 1342 2978 1475 2978 1485 2979 1483 2979 1342 2979 1484 2980 1485 2980 1342 2980 1486 2981 1340 2981 1341 2981 1487 2982 1486 2982 1341 2982 1488 2983 1487 2983 1341 2983 1476 2984 1488 2984 1341 2984 1489 2985 1339 2985 1340 2985 1486 2986 1489 2986 1340 2986 1489 2987 1490 2987 1339 2987 1338 2988 1339 2988 1490 2988 1338 2989 1490 2989 1489 2989 1491 2990 1489 2990 1486 2990 1338 2991 1489 2991 1491 2991 1492 2992 1493 2992 1486 2992 1494 2993 1486 2993 1493 2993 1487 2994 1492 2994 1486 2994 1494 2995 1491 2995 1486 2995 1495 2996 1496 2996 1493 2996 1497 2997 1493 2997 1496 2997 1498 2998 1499 2998 1493 2998 1482 2999 1493 2999 1499 2999 1500 3000 1498 3000 1493 3000 1501 3001 1500 3001 1493 3001 1492 3002 1501 3002 1493 3002 1483 3003 1493 3003 1482 3003 1502 3004 1495 3004 1493 3004 1503 3005 1502 3005 1493 3005 1483 3006 1503 3006 1493 3006 1494 3007 1493 3007 1497 3007 1504 3008 1505 3008 1496 3008 1506 3009 1496 3009 1505 3009 1507 3010 1508 3010 1496 3010 1504 3011 1496 3011 1508 3011 1495 3012 1507 3012 1496 3012 1497 3013 1496 3013 1506 3013 1509 3014 1510 3014 1505 3014 1511 3015 1505 3015 1510 3015 1512 3016 1505 3016 1504 3016 1513 3017 1509 3017 1505 3017 1512 3018 1513 3018 1505 3018 1506 3019 1505 3019 1511 3019 1514 3020 1515 3020 1510 3020 1516 3021 1510 3021 1515 3021 1517 3022 1514 3022 1510 3022 1509 3023 1517 3023 1510 3023 1511 3024 1510 3024 1516 3024 1518 3025 1515 3025 1514 3025 1516 3026 1515 3026 1518 3026 1519 3027 1520 3027 1514 3027 1521 3028 1514 3028 1520 3028 1517 3029 1519 3029 1514 3029 1518 3030 1514 3030 1521 3030 1335 3031 1334 3031 1520 3031 1522 3032 1520 3032 1334 3032 1504 3033 1335 3033 1520 3033 1523 3034 1504 3034 1520 3034 1524 3035 1523 3035 1520 3035 1519 3036 1524 3036 1520 3036 1521 3037 1520 3037 1522 3037 1522 3038 1334 3038 1336 3038 1504 3039 1347 3039 1335 3039 1525 3040 1474 3040 1347 3040 1526 3041 1525 3041 1347 3041 1527 3042 1526 3042 1347 3042 1508 3043 1527 3043 1347 3043 1504 3044 1508 3044 1347 3044 1528 3045 1499 3045 1498 3045 1529 3046 1482 3046 1499 3046 1530 3047 1499 3047 1528 3047 1529 3048 1499 3048 1530 3048 1528 3049 1498 3049 1500 3049 1531 3050 1500 3050 1501 3050 1528 3051 1500 3051 1531 3051 1532 3052 1501 3052 1492 3052 1531 3053 1501 3053 1532 3053 1533 3054 1492 3054 1487 3054 1532 3055 1492 3055 1533 3055 1534 3056 1487 3056 1488 3056 1533 3057 1487 3057 1534 3057 1535 3058 1488 3058 1476 3058 1534 3059 1488 3059 1535 3059 1536 3060 1476 3060 1477 3060 1537 3061 1476 3061 1536 3061 1535 3062 1476 3062 1537 3062 1536 3063 1477 3063 1478 3063 1538 3064 1478 3064 1479 3064 1536 3065 1478 3065 1538 3065 1539 3066 1479 3066 1480 3066 1538 3067 1479 3067 1539 3067 1540 3068 1480 3068 1481 3068 1540 3069 1539 3069 1480 3069 1541 3070 1481 3070 1482 3070 1540 3071 1481 3071 1541 3071 1541 3072 1482 3072 1529 3072 1542 3073 1475 3073 1473 3073 1543 3074 1484 3074 1475 3074 1543 3075 1475 3075 1542 3075 1544 3076 1473 3076 1474 3076 1544 3077 1542 3077 1473 3077 1545 3078 1474 3078 1525 3078 1544 3079 1474 3079 1545 3079 1546 3080 1525 3080 1526 3080 1545 3081 1525 3081 1546 3081 1547 3082 1526 3082 1527 3082 1548 3083 1526 3083 1547 3083 1546 3084 1526 3084 1548 3084 1547 3085 1527 3085 1508 3085 1549 3086 1508 3086 1507 3086 1547 3087 1508 3087 1549 3087 1550 3088 1507 3088 1495 3088 1549 3089 1507 3089 1550 3089 1551 3090 1495 3090 1502 3090 1550 3091 1495 3091 1551 3091 1552 3092 1502 3092 1503 3092 1551 3093 1502 3093 1552 3093 1553 3094 1503 3094 1483 3094 1552 3095 1503 3095 1553 3095 1554 3096 1483 3096 1485 3096 1555 3097 1483 3097 1554 3097 1553 3098 1483 3098 1555 3098 1554 3099 1485 3099 1484 3099 1554 3100 1484 3100 1543 3100 1556 3101 1504 3101 1523 3101 1557 3102 1512 3102 1504 3102 1557 3103 1504 3103 1556 3103 1558 3104 1523 3104 1524 3104 1559 3105 1556 3105 1523 3105 1559 3106 1523 3106 1558 3106 1560 3107 1524 3107 1519 3107 1558 3108 1524 3108 1560 3108 1561 3109 1519 3109 1517 3109 1562 3110 1519 3110 1561 3110 1560 3111 1519 3111 1562 3111 1563 3112 1517 3112 1509 3112 1561 3113 1517 3113 1563 3113 1564 3114 1509 3114 1513 3114 1565 3115 1509 3115 1564 3115 1563 3116 1509 3116 1565 3116 1566 3117 1513 3117 1512 3117 1564 3118 1513 3118 1566 3118 1567 3119 1512 3119 1557 3119 1566 3120 1512 3120 1567 3120 1568 3121 1308 3121 1309 3121 1569 3122 1568 3122 1309 3122 1310 3123 1569 3123 1309 3123 1568 3124 1307 3124 1308 3124 1570 3125 1306 3125 1307 3125 1571 3126 1570 3126 1307 3126 1568 3127 1571 3127 1307 3127 1572 3128 1305 3128 1306 3128 1570 3129 1572 3129 1306 3129 1573 3130 1304 3130 1305 3130 1572 3131 1573 3131 1305 3131 1574 3132 1302 3132 1304 3132 1573 3133 1574 3133 1304 3133 1575 3134 1302 3134 1574 3134 1575 3135 1303 3135 1302 3135 1518 3136 1574 3136 1573 3136 1521 3137 1575 3137 1574 3137 1518 3138 1521 3138 1574 3138 1511 3139 1573 3139 1572 3139 1516 3140 1518 3140 1573 3140 1511 3141 1516 3141 1573 3141 1506 3142 1572 3142 1570 3142 1506 3143 1511 3143 1572 3143 1506 3144 1570 3144 1571 3144 1497 3145 1571 3145 1568 3145 1497 3146 1506 3146 1571 3146 1494 3147 1568 3147 1569 3147 1494 3148 1497 3148 1568 3148 1576 3149 1569 3149 1310 3149 1491 3150 1569 3150 1576 3150 1494 3151 1569 3151 1491 3151 1575 3152 1313 3152 1303 3152 1577 3153 1312 3153 1313 3153 1578 3154 1577 3154 1313 3154 1575 3155 1578 3155 1313 3155 1579 3156 1311 3156 1312 3156 1577 3157 1579 3157 1312 3157 1576 3158 1310 3158 1311 3158 1579 3159 1576 3159 1311 3159 1337 3160 1576 3160 1579 3160 1338 3161 1491 3161 1576 3161 1337 3162 1338 3162 1576 3162 1336 3163 1579 3163 1577 3163 1336 3164 1337 3164 1579 3164 1336 3165 1577 3165 1578 3165 1522 3166 1578 3166 1575 3166 1522 3167 1336 3167 1578 3167 1521 3168 1522 3168 1575 3168 1544 3169 1580 3169 1581 3169 1582 3170 1581 3170 1580 3170 1552 3171 1581 3171 1583 3171 1584 3172 1583 3172 1581 3172 1552 3173 1542 3173 1581 3173 1544 3174 1581 3174 1542 3174 1584 3175 1581 3175 1582 3175 1544 3176 1585 3176 1580 3176 1586 3177 1580 3177 1585 3177 1586 3178 1582 3178 1580 3178 1545 3179 1587 3179 1585 3179 1588 3180 1585 3180 1587 3180 1544 3181 1545 3181 1585 3181 1586 3182 1585 3182 1588 3182 1545 3183 1589 3183 1587 3183 1590 3184 1587 3184 1589 3184 1588 3185 1587 3185 1590 3185 1551 3186 1583 3186 1589 3186 1591 3187 1589 3187 1583 3187 1545 3188 1551 3188 1589 3188 1590 3189 1589 3189 1591 3189 1551 3190 1552 3190 1583 3190 1591 3191 1583 3191 1584 3191 1536 3192 1592 3192 1593 3192 1594 3193 1593 3193 1592 3193 1533 3194 1593 3194 1595 3194 1596 3195 1595 3195 1593 3195 1533 3196 1536 3196 1593 3196 1596 3197 1593 3197 1594 3197 1538 3198 1597 3198 1592 3198 1598 3199 1592 3199 1597 3199 1536 3200 1538 3200 1592 3200 1598 3201 1594 3201 1592 3201 1539 3202 1599 3202 1597 3202 1600 3203 1597 3203 1599 3203 1538 3204 1539 3204 1597 3204 1598 3205 1597 3205 1600 3205 1532 3206 1601 3206 1599 3206 1602 3207 1599 3207 1601 3207 1540 3208 1599 3208 1539 3208 1531 3209 1532 3209 1599 3209 1540 3210 1531 3210 1599 3210 1600 3211 1599 3211 1602 3211 1532 3212 1595 3212 1601 3212 1603 3213 1601 3213 1595 3213 1602 3214 1601 3214 1603 3214 1532 3215 1533 3215 1595 3215 1603 3216 1595 3216 1596 3216 1533 3217 1537 3217 1536 3217 1534 3218 1535 3218 1537 3218 1533 3219 1534 3219 1537 3219 1540 3220 1528 3220 1531 3220 1541 3221 1530 3221 1528 3221 1540 3222 1541 3222 1528 3222 1541 3223 1529 3223 1530 3223 1552 3224 1543 3224 1542 3224 1552 3225 1554 3225 1543 3225 1553 3226 1555 3226 1554 3226 1552 3227 1553 3227 1554 3227 1546 3228 1550 3228 1551 3228 1545 3229 1546 3229 1551 3229 1548 3230 1549 3230 1550 3230 1546 3231 1548 3231 1550 3231 1548 3232 1547 3232 1549 3232 1414 3233 1413 3233 1604 3233 1605 3234 1604 3234 1413 3234 1391 3235 1604 3235 1390 3235 1376 3236 1390 3236 1604 3236 1391 3237 1414 3237 1604 3237 1376 3238 1604 3238 1605 3238 1403 3239 1413 3239 1412 3239 1403 3240 1605 3240 1413 3240 1374 3241 1412 3241 1387 3241 1403 3242 1412 3242 1374 3242 1378 3243 1387 3243 1385 3243 1374 3244 1387 3244 1378 3244 1375 3245 1385 3245 1390 3245 1378 3246 1385 3246 1375 3246 1375 3247 1390 3247 1376 3247 1417 3248 1416 3248 1606 3248 1607 3249 1606 3249 1416 3249 1393 3250 1606 3250 1392 3250 1380 3251 1392 3251 1606 3251 1393 3252 1417 3252 1606 3252 1380 3253 1606 3253 1607 3253 1405 3254 1416 3254 1415 3254 1405 3255 1607 3255 1416 3255 1404 3256 1415 3256 1414 3256 1405 3257 1415 3257 1404 3257 1377 3258 1414 3258 1391 3258 1404 3259 1414 3259 1377 3259 1379 3260 1391 3260 1392 3260 1377 3261 1391 3261 1379 3261 1379 3262 1392 3262 1380 3262 1407 3263 1394 3263 1389 3263 1371 3264 1395 3264 1394 3264 1371 3265 1394 3265 1407 3265 1408 3266 1389 3266 1418 3266 1408 3267 1407 3267 1389 3267 1419 3268 1608 3268 1418 3268 1409 3269 1418 3269 1608 3269 1408 3270 1418 3270 1409 3270 1397 3271 1396 3271 1608 3271 1609 3272 1608 3272 1396 3272 1419 3273 1397 3273 1608 3273 1409 3274 1608 3274 1609 3274 1382 3275 1396 3275 1395 3275 1609 3276 1396 3276 1382 3276 1382 3277 1395 3277 1371 3277 1410 3278 1397 3278 1419 3278 1383 3279 1398 3279 1397 3279 1383 3280 1397 3280 1410 3280 1411 3281 1419 3281 1420 3281 1411 3282 1410 3282 1419 3282 1406 3283 1420 3283 1417 3283 1411 3284 1420 3284 1406 3284 1610 3285 1417 3285 1393 3285 1406 3286 1417 3286 1610 3286 1381 3287 1393 3287 1398 3287 1610 3288 1393 3288 1381 3288 1381 3289 1398 3289 1383 3289 1377 3290 1376 3290 1605 3290 1404 3291 1605 3291 1403 3291 1404 3292 1377 3292 1605 3292 1610 3293 1380 3293 1607 3293 1406 3294 1607 3294 1405 3294 1406 3295 1610 3295 1607 3295 1610 3296 1381 3296 1380 3296 1383 3297 1609 3297 1382 3297 1410 3298 1409 3298 1609 3298 1383 3299 1410 3299 1609 3299 1014 3300 985 3300 984 3300 1366 3301 984 3301 990 3301 1012 3302 1014 3302 984 3302 1366 3303 1012 3303 984 3303 1366 3304 990 3304 993 3304 1364 3305 1366 3305 993 3305 1368 3306 1006 3306 1005 3306 1366 3307 1005 3307 1010 3307 1366 3308 1368 3308 1005 3308 1368 3309 1370 3309 1006 3309 1366 3310 1010 3310 1012 3310 1362 3311 1364 3311 1361 3311 1584 3312 1582 3312 1611 3312 1586 3313 1611 3313 1582 3313 1591 3314 1584 3314 1611 3314 1590 3315 1591 3315 1611 3315 1588 3316 1590 3316 1611 3316 1586 3317 1588 3317 1611 3317 1180 3318 1187 3318 1171 3318 1179 3319 1180 3319 1171 3319 1170 3320 1179 3320 1171 3320 1180 3321 1186 3321 1187 3321 1182 3322 1184 3322 1186 3322 1180 3323 1182 3323 1186 3323 1170 3324 1178 3324 1179 3324 1170 3325 1176 3325 1178 3325 1172 3326 1174 3326 1176 3326 1170 3327 1172 3327 1176 3327 1224 3328 1223 3328 1222 3328 1224 3329 1244 3329 1223 3329 1235 3330 1243 3330 1244 3330 1233 3331 1235 3331 1244 3331 1231 3332 1233 3332 1244 3332 1228 3333 1231 3333 1244 3333 1226 3334 1228 3334 1244 3334 1224 3335 1226 3335 1244 3335 1238 3336 1242 3336 1243 3336 1236 3337 1238 3337 1243 3337 1235 3338 1236 3338 1243 3338 1237 3339 1241 3339 1242 3339 1238 3340 1237 3340 1242 3340 1239 3341 1240 3341 1241 3341 1237 3342 1239 3342 1241 3342 1235 3343 1234 3343 1236 3343 1211 3344 1220 3344 1221 3344 1210 3345 1211 3345 1221 3345 1209 3346 1210 3346 1221 3346 1208 3347 1209 3347 1221 3347 1212 3348 1219 3348 1220 3348 1211 3349 1212 3349 1220 3349 1212 3350 1217 3350 1219 3350 1213 3351 1215 3351 1217 3351 1212 3352 1213 3352 1217 3352 1208 3353 1207 3353 1209 3353 1259 3354 1254 3354 1257 3354 1259 3355 1253 3355 1254 3355 1261 3356 1252 3356 1253 3356 1260 3357 1261 3357 1253 3357 1259 3358 1260 3358 1253 3358 1262 3359 1251 3359 1252 3359 1261 3360 1262 3360 1252 3360 1262 3361 1250 3361 1251 3361 1248 3362 1247 3362 1250 3362 1262 3363 1248 3363 1250 3363 1265 3364 1264 3364 1263 3364 1265 3365 1277 3365 1264 3365 1267 3366 1276 3366 1277 3366 1266 3367 1267 3367 1277 3367 1265 3368 1266 3368 1277 3368 1268 3369 1275 3369 1276 3369 1267 3370 1268 3370 1276 3370 1268 3371 1274 3371 1275 3371 1270 3372 1272 3372 1274 3372 1268 3373 1270 3373 1274 3373 1280 3374 1279 3374 1278 3374 1280 3375 1289 3375 1279 3375 1282 3376 1288 3376 1289 3376 1281 3377 1282 3377 1289 3377 1280 3378 1281 3378 1289 3378 1283 3379 1287 3379 1288 3379 1282 3380 1283 3380 1288 3380 1283 3381 1286 3381 1287 3381 1284 3382 1285 3382 1286 3382 1283 3383 1284 3383 1286 3383 1199 3384 1206 3384 1189 3384 1194 3385 1199 3385 1189 3385 1193 3386 1194 3386 1189 3386 1188 3387 1193 3387 1189 3387 1199 3388 1205 3388 1206 3388 1200 3389 1203 3389 1205 3389 1199 3390 1200 3390 1205 3390 1194 3391 1198 3391 1199 3391 1195 3392 1197 3392 1198 3392 1194 3393 1195 3393 1198 3393 1195 3394 1196 3394 1197 3394 1188 3395 1192 3395 1193 3395 1190 3396 1191 3396 1192 3396 1188 3397 1190 3397 1192 3397 1292 3398 1291 3398 1290 3398 1292 3399 1301 3399 1291 3399 1294 3400 1300 3400 1301 3400 1293 3401 1294 3401 1301 3401 1292 3402 1293 3402 1301 3402 1295 3403 1299 3403 1300 3403 1294 3404 1295 3404 1300 3404 1295 3405 1298 3405 1299 3405 1296 3406 1297 3406 1298 3406 1295 3407 1296 3407 1298 3407 1556 3408 1443 3408 1447 3408 1559 3409 1445 3409 1443 3409 1559 3410 1443 3410 1556 3410 1557 3411 1447 3411 1448 3411 1557 3412 1556 3412 1447 3412 1567 3413 1448 3413 1446 3413 1567 3414 1557 3414 1448 3414 1566 3415 1446 3415 1425 3415 1566 3416 1567 3416 1446 3416 1564 3417 1425 3417 1428 3417 1564 3418 1566 3418 1425 3418 1565 3419 1428 3419 1427 3419 1565 3420 1564 3420 1428 3420 1563 3421 1427 3421 1453 3421 1563 3422 1565 3422 1427 3422 1561 3423 1453 3423 1454 3423 1561 3424 1563 3424 1453 3424 1562 3425 1454 3425 1452 3425 1562 3426 1561 3426 1454 3426 1560 3427 1452 3427 1444 3427 1560 3428 1562 3428 1452 3428 1558 3429 1444 3429 1445 3429 1558 3430 1560 3430 1444 3430 1559 3431 1558 3431 1445 3431 1596 3432 1594 3432 1612 3432 1598 3433 1612 3433 1594 3433 1603 3434 1596 3434 1612 3434 1602 3435 1603 3435 1612 3435 1600 3436 1602 3436 1612 3436 1598 3437 1600 3437 1612 3437 1613 3438 1614 3438 1615 3438 1616 3439 1615 3439 1614 3439 1617 3440 1618 3440 1615 3440 1619 3441 1615 3441 1618 3441 1620 3442 1617 3442 1615 3442 1621 3443 1620 3443 1615 3443 1622 3444 1615 3444 1619 3444 1622 3445 1613 3445 1615 3445 1621 3446 1615 3446 1616 3446 1623 3447 1624 3447 1614 3447 1625 3448 1614 3448 1624 3448 1613 3449 1623 3449 1614 3449 1625 3450 1616 3450 1614 3450 1626 3451 1627 3451 1624 3451 1628 3452 1624 3452 1627 3452 1629 3453 1624 3453 1630 3453 1631 3454 1630 3454 1624 3454 1632 3455 1626 3455 1624 3455 1629 3456 1632 3456 1624 3456 1631 3457 1624 3457 1623 3457 1628 3458 1625 3458 1624 3458 1633 3459 1634 3459 1627 3459 1635 3460 1627 3460 1634 3460 1633 3461 1627 3461 1626 3461 1635 3462 1628 3462 1627 3462 1636 3463 1637 3463 1634 3463 1638 3464 1634 3464 1637 3464 1639 3465 1640 3465 1634 3465 1641 3466 1634 3466 1640 3466 1633 3467 1639 3467 1634 3467 1641 3468 1636 3468 1634 3468 1638 3469 1635 3469 1634 3469 1642 3470 1643 3470 1637 3470 1644 3471 1637 3471 1643 3471 1645 3472 1637 3472 1636 3472 1645 3473 1642 3473 1637 3473 1644 3474 1638 3474 1637 3474 1646 3475 1647 3475 1643 3475 1648 3476 1643 3476 1647 3476 1649 3477 1646 3477 1643 3477 1642 3478 1649 3478 1643 3478 1644 3479 1643 3479 1648 3479 1650 3480 1651 3480 1647 3480 1648 3481 1647 3481 1651 3481 1646 3482 1650 3482 1647 3482 1652 3483 1651 3483 1650 3483 1653 3484 1648 3484 1651 3484 1652 3485 1654 3485 1651 3485 1653 3486 1651 3486 1654 3486 1655 3487 1650 3487 1646 3487 1655 3488 1656 3488 1650 3488 1657 3489 1650 3489 1656 3489 1652 3490 1650 3490 1657 3490 1655 3491 1646 3491 1649 3491 1658 3492 1640 3492 1649 3492 1659 3493 1649 3493 1640 3493 1642 3494 1658 3494 1649 3494 1655 3495 1649 3495 1659 3495 1660 3496 1640 3496 1639 3496 1661 3497 1641 3497 1640 3497 1658 3498 1661 3498 1640 3498 1659 3499 1640 3499 1660 3499 1662 3500 1663 3500 1639 3500 1660 3501 1639 3501 1663 3501 1664 3502 1662 3502 1639 3502 1633 3503 1664 3503 1639 3503 1629 3504 1630 3504 1663 3504 1665 3505 1663 3505 1630 3505 1662 3506 1629 3506 1663 3506 1660 3507 1663 3507 1665 3507 1666 3508 1667 3508 1630 3508 1668 3509 1630 3509 1667 3509 1631 3510 1666 3510 1630 3510 1665 3511 1630 3511 1668 3511 1669 3512 1670 3512 1667 3512 1668 3513 1667 3513 1670 3513 1666 3514 1669 3514 1667 3514 1671 3515 1672 3515 1670 3515 1673 3516 1670 3516 1672 3516 1671 3517 1670 3517 1619 3517 1622 3518 1619 3518 1670 3518 1669 3519 1622 3519 1670 3519 1668 3520 1670 3520 1673 3520 1674 3521 1675 3521 1672 3521 1673 3522 1672 3522 1675 3522 1676 3523 1674 3523 1672 3523 1671 3524 1676 3524 1672 3524 1677 3525 1618 3525 1675 3525 1678 3526 1675 3526 1618 3526 1674 3527 1677 3527 1675 3527 1673 3528 1675 3528 1678 3528 1679 3529 1618 3529 1617 3529 1680 3530 1619 3530 1618 3530 1677 3531 1680 3531 1618 3531 1678 3532 1618 3532 1679 3532 1681 3533 1682 3533 1617 3533 1683 3534 1617 3534 1682 3534 1620 3535 1681 3535 1617 3535 1679 3536 1617 3536 1684 3536 1685 3537 1684 3537 1617 3537 1683 3538 1686 3538 1617 3538 1685 3539 1617 3539 1686 3539 1687 3540 1682 3540 1681 3540 1688 3541 1683 3541 1682 3541 1689 3542 1688 3542 1682 3542 1687 3543 1689 3543 1682 3543 1621 3544 1681 3544 1620 3544 1621 3545 1687 3545 1681 3545 1690 3546 1619 3546 1680 3546 1691 3547 1671 3547 1619 3547 1691 3548 1619 3548 1690 3548 1692 3549 1680 3549 1677 3549 1690 3550 1680 3550 1692 3550 1693 3551 1677 3551 1674 3551 1692 3552 1677 3552 1693 3552 1694 3553 1674 3553 1676 3553 1693 3554 1674 3554 1694 3554 1695 3555 1676 3555 1671 3555 1695 3556 1694 3556 1676 3556 1695 3557 1671 3557 1691 3557 1696 3558 1636 3558 1641 3558 1697 3559 1645 3559 1636 3559 1697 3560 1636 3560 1696 3560 1698 3561 1641 3561 1661 3561 1696 3562 1641 3562 1698 3562 1699 3563 1661 3563 1658 3563 1698 3564 1661 3564 1699 3564 1700 3565 1658 3565 1642 3565 1699 3566 1658 3566 1700 3566 1701 3567 1642 3567 1645 3567 1701 3568 1700 3568 1642 3568 1701 3569 1645 3569 1697 3569 1702 3570 1626 3570 1632 3570 1703 3571 1633 3571 1626 3571 1703 3572 1626 3572 1702 3572 1704 3573 1632 3573 1629 3573 1702 3574 1632 3574 1704 3574 1705 3575 1629 3575 1662 3575 1704 3576 1629 3576 1705 3576 1706 3577 1662 3577 1664 3577 1705 3578 1662 3578 1706 3578 1707 3579 1664 3579 1633 3579 1707 3580 1706 3580 1664 3580 1707 3581 1633 3581 1703 3581 1708 3582 1623 3582 1613 3582 1709 3583 1631 3583 1623 3583 1709 3584 1623 3584 1708 3584 1710 3585 1613 3585 1622 3585 1708 3586 1613 3586 1710 3586 1711 3587 1622 3587 1669 3587 1710 3588 1622 3588 1711 3588 1712 3589 1669 3589 1666 3589 1711 3590 1669 3590 1712 3590 1713 3591 1666 3591 1631 3591 1713 3592 1712 3592 1666 3592 1713 3593 1631 3593 1709 3593 1714 3594 1715 3594 1656 3594 1716 3595 1656 3595 1715 3595 1717 3596 1656 3596 1655 3596 1714 3597 1656 3597 1717 3597 1716 3598 1657 3598 1656 3598 1718 3599 1719 3599 1715 3599 1720 3600 1715 3600 1719 3600 1721 3601 1715 3601 1714 3601 1721 3602 1722 3602 1715 3602 1723 3603 1715 3603 1722 3603 1723 3604 1718 3604 1715 3604 1724 3605 1715 3605 1720 3605 1716 3606 1715 3606 1724 3606 1725 3607 1726 3607 1719 3607 1727 3608 1719 3608 1726 3608 1728 3609 1729 3609 1719 3609 1730 3610 1719 3610 1729 3610 1718 3611 1728 3611 1719 3611 1731 3612 1732 3612 1719 3612 1725 3613 1719 3613 1732 3613 1730 3614 1731 3614 1719 3614 1733 3615 1719 3615 1727 3615 1720 3616 1719 3616 1733 3616 1725 3617 1734 3617 1726 3617 1735 3618 1726 3618 1734 3618 1736 3619 1726 3619 1735 3619 1727 3620 1726 3620 1736 3620 1729 3621 1684 3621 1734 3621 1737 3622 1734 3622 1684 3622 1730 3623 1729 3623 1734 3623 1738 3624 1730 3624 1734 3624 1739 3625 1738 3625 1734 3625 1725 3626 1739 3626 1734 3626 1740 3627 1734 3627 1737 3627 1735 3628 1734 3628 1740 3628 1741 3629 1679 3629 1684 3629 1729 3630 1741 3630 1684 3630 1737 3631 1684 3631 1685 3631 1742 3632 1678 3632 1679 3632 1741 3633 1743 3633 1679 3633 1744 3634 1679 3634 1743 3634 1745 3635 1742 3635 1679 3635 1744 3636 1745 3636 1679 3636 1746 3637 1673 3637 1678 3637 1747 3638 1746 3638 1678 3638 1742 3639 1747 3639 1678 3639 1748 3640 1668 3640 1673 3640 1749 3641 1673 3641 1746 3641 1750 3642 1673 3642 1749 3642 1751 3643 1748 3643 1673 3643 1750 3644 1751 3644 1673 3644 1752 3645 1665 3645 1668 3645 1753 3646 1754 3646 1668 3646 1755 3647 1668 3647 1754 3647 1756 3648 1753 3648 1668 3648 1757 3649 1668 3649 1755 3649 1758 3650 1752 3650 1668 3650 1757 3651 1758 3651 1668 3651 1748 3652 1756 3652 1668 3652 1752 3653 1660 3653 1665 3653 1754 3654 1659 3654 1660 3654 1759 3655 1754 3655 1660 3655 1760 3656 1759 3656 1660 3656 1752 3657 1760 3657 1660 3657 1761 3658 1655 3658 1659 3658 1754 3659 1762 3659 1659 3659 1763 3660 1659 3660 1762 3660 1763 3661 1761 3661 1659 3661 1764 3662 1717 3662 1655 3662 1765 3663 1764 3663 1655 3663 1766 3664 1765 3664 1655 3664 1761 3665 1766 3665 1655 3665 1767 3666 1717 3666 1764 3666 1768 3667 1714 3667 1717 3667 1768 3668 1717 3668 1767 3668 1769 3669 1762 3669 1764 3669 1770 3670 1764 3670 1762 3670 1765 3671 1769 3671 1764 3671 1770 3672 1767 3672 1764 3672 1771 3673 1762 3673 1754 3673 1772 3674 1762 3674 1769 3674 1772 3675 1763 3675 1762 3675 1770 3676 1762 3676 1771 3676 1773 3677 1754 3677 1753 3677 1759 3678 1755 3678 1754 3678 1771 3679 1754 3679 1773 3679 1749 3680 1746 3680 1753 3680 1774 3681 1753 3681 1746 3681 1775 3682 1749 3682 1753 3682 1756 3683 1775 3683 1753 3683 1773 3684 1753 3684 1774 3684 1776 3685 1777 3685 1746 3685 1778 3686 1746 3686 1777 3686 1779 3687 1776 3687 1746 3687 1747 3688 1779 3688 1746 3688 1774 3689 1746 3689 1778 3689 1744 3690 1743 3690 1777 3690 1780 3691 1777 3691 1743 3691 1744 3692 1777 3692 1776 3692 1778 3693 1777 3693 1780 3693 1781 3694 1743 3694 1741 3694 1780 3695 1743 3695 1781 3695 1782 3696 1741 3696 1729 3696 1781 3697 1741 3697 1782 3697 1783 3698 1729 3698 1728 3698 1782 3699 1729 3699 1783 3699 1721 3700 1714 3700 1728 3700 1784 3701 1728 3701 1714 3701 1785 3702 1721 3702 1728 3702 1786 3703 1785 3703 1728 3703 1718 3704 1786 3704 1728 3704 1783 3705 1728 3705 1784 3705 1784 3706 1714 3706 1768 3706 1690 3707 1776 3707 1779 3707 1692 3708 1744 3708 1776 3708 1690 3709 1692 3709 1776 3709 1691 3710 1779 3710 1747 3710 1691 3711 1690 3711 1779 3711 1695 3712 1747 3712 1742 3712 1695 3713 1691 3713 1747 3713 1694 3714 1742 3714 1745 3714 1695 3715 1742 3715 1694 3715 1693 3716 1745 3716 1744 3716 1693 3717 1694 3717 1745 3717 1692 3718 1693 3718 1744 3718 1696 3719 1769 3719 1765 3719 1698 3720 1772 3720 1769 3720 1696 3721 1698 3721 1769 3721 1697 3722 1765 3722 1766 3722 1697 3723 1696 3723 1765 3723 1701 3724 1766 3724 1761 3724 1701 3725 1697 3725 1766 3725 1700 3726 1761 3726 1763 3726 1701 3727 1761 3727 1700 3727 1699 3728 1763 3728 1772 3728 1699 3729 1700 3729 1763 3729 1698 3730 1699 3730 1772 3730 1702 3731 1755 3731 1759 3731 1704 3732 1757 3732 1755 3732 1702 3733 1704 3733 1755 3733 1703 3734 1759 3734 1760 3734 1703 3735 1702 3735 1759 3735 1707 3736 1760 3736 1752 3736 1707 3737 1703 3737 1760 3737 1706 3738 1752 3738 1758 3738 1707 3739 1752 3739 1706 3739 1705 3740 1758 3740 1757 3740 1705 3741 1706 3741 1758 3741 1704 3742 1705 3742 1757 3742 1708 3743 1749 3743 1775 3743 1710 3744 1750 3744 1749 3744 1708 3745 1710 3745 1749 3745 1709 3746 1775 3746 1756 3746 1709 3747 1708 3747 1775 3747 1713 3748 1756 3748 1748 3748 1713 3749 1709 3749 1756 3749 1712 3750 1748 3750 1751 3750 1713 3751 1748 3751 1712 3751 1711 3752 1751 3752 1750 3752 1711 3753 1712 3753 1751 3753 1710 3754 1711 3754 1750 3754 1787 3755 1732 3755 1731 3755 1788 3756 1725 3756 1732 3756 1787 3757 1788 3757 1732 3757 1789 3758 1731 3758 1730 3758 1789 3759 1787 3759 1731 3759 1790 3760 1730 3760 1738 3760 1790 3761 1789 3761 1730 3761 1791 3762 1738 3762 1739 3762 1790 3763 1738 3763 1791 3763 1792 3764 1739 3764 1725 3764 1792 3765 1791 3765 1739 3765 1788 3766 1792 3766 1725 3766 1793 3767 1722 3767 1721 3767 1794 3768 1723 3768 1722 3768 1793 3769 1794 3769 1722 3769 1795 3770 1721 3770 1785 3770 1795 3771 1793 3771 1721 3771 1796 3772 1785 3772 1786 3772 1796 3773 1795 3773 1785 3773 1797 3774 1786 3774 1718 3774 1796 3775 1786 3775 1797 3775 1798 3776 1718 3776 1723 3776 1798 3777 1797 3777 1718 3777 1794 3778 1798 3778 1723 3778 1799 3779 1657 3779 1800 3779 1716 3780 1800 3780 1657 3780 1801 3781 1657 3781 1799 3781 1802 3782 1657 3782 1801 3782 1803 3783 1652 3783 1657 3783 1802 3784 1803 3784 1657 3784 1724 3785 1799 3785 1800 3785 1716 3786 1724 3786 1800 3786 1720 3787 1801 3787 1799 3787 1724 3788 1720 3788 1799 3788 1733 3789 1804 3789 1801 3789 1802 3790 1801 3790 1804 3790 1720 3791 1733 3791 1801 3791 1727 3792 1805 3792 1804 3792 1806 3793 1804 3793 1805 3793 1733 3794 1727 3794 1804 3794 1807 3795 1802 3795 1804 3795 1806 3796 1807 3796 1804 3796 1736 3797 1808 3797 1805 3797 1654 3798 1805 3798 1808 3798 1727 3799 1736 3799 1805 3799 1809 3800 1805 3800 1654 3800 1809 3801 1806 3801 1805 3801 1735 3802 1810 3802 1808 3802 1811 3803 1808 3803 1810 3803 1736 3804 1735 3804 1808 3804 1812 3805 1654 3805 1808 3805 1811 3806 1812 3806 1808 3806 1740 3807 1813 3807 1810 3807 1814 3808 1810 3808 1813 3808 1735 3809 1740 3809 1810 3809 1815 3810 1811 3810 1810 3810 1814 3811 1815 3811 1810 3811 1737 3812 1686 3812 1813 3812 1688 3813 1813 3813 1686 3813 1740 3814 1737 3814 1813 3814 1814 3815 1813 3815 1688 3815 1688 3816 1686 3816 1683 3816 1737 3817 1685 3817 1686 3817 1770 3818 1644 3818 1648 3818 1767 3819 1648 3819 1653 3819 1770 3820 1648 3820 1767 3820 1780 3821 1616 3821 1625 3821 1781 3822 1621 3822 1616 3822 1780 3823 1781 3823 1616 3823 1778 3824 1625 3824 1628 3824 1778 3825 1780 3825 1625 3825 1774 3826 1628 3826 1635 3826 1774 3827 1778 3827 1628 3827 1771 3828 1635 3828 1638 3828 1773 3829 1774 3829 1635 3829 1771 3830 1773 3830 1635 3830 1770 3831 1638 3831 1644 3831 1770 3832 1771 3832 1638 3832 1689 3833 1816 3833 1688 3833 1817 3834 1688 3834 1816 3834 1817 3835 1814 3835 1688 3835 1818 3836 1654 3836 1816 3836 1812 3837 1816 3837 1654 3837 1689 3838 1818 3838 1816 3838 1819 3839 1816 3839 1812 3839 1819 3840 1817 3840 1816 3840 1809 3841 1654 3841 1652 3841 1818 3842 1653 3842 1654 3842 1820 3843 1652 3843 1803 3843 1820 3844 1809 3844 1652 3844 1768 3845 1653 3845 1818 3845 1768 3846 1767 3846 1653 3846 1784 3847 1818 3847 1689 3847 1784 3848 1768 3848 1818 3848 1782 3849 1689 3849 1687 3849 1783 3850 1784 3850 1689 3850 1782 3851 1783 3851 1689 3851 1781 3852 1687 3852 1621 3852 1781 3853 1782 3853 1687 3853 1787 3854 1812 3854 1811 3854 1789 3855 1819 3855 1812 3855 1789 3856 1812 3856 1787 3856 1788 3857 1811 3857 1815 3857 1787 3858 1811 3858 1788 3858 1792 3859 1815 3859 1814 3859 1788 3860 1815 3860 1792 3860 1791 3861 1814 3861 1817 3861 1792 3862 1814 3862 1791 3862 1790 3863 1817 3863 1819 3863 1790 3864 1791 3864 1817 3864 1790 3865 1819 3865 1789 3865 1793 3866 1803 3866 1802 3866 1795 3867 1820 3867 1803 3867 1795 3868 1803 3868 1793 3868 1794 3869 1802 3869 1807 3869 1793 3870 1802 3870 1794 3870 1798 3871 1807 3871 1806 3871 1794 3872 1807 3872 1798 3872 1797 3873 1806 3873 1809 3873 1798 3874 1806 3874 1797 3874 1796 3875 1809 3875 1820 3875 1796 3876 1797 3876 1809 3876 1796 3877 1820 3877 1795 3877 1821 3878 1822 3878 1823 3878 1824 3879 1823 3879 1822 3879 1825 3880 1823 3880 1826 3880 1827 3881 1826 3881 1823 3881 1825 3882 1821 3882 1823 3882 1824 3883 1827 3883 1823 3883 1821 3884 1828 3884 1822 3884 1829 3885 1822 3885 1828 3885 1829 3886 1824 3886 1822 3886 1830 3887 1831 3887 1828 3887 1832 3888 1828 3888 1831 3888 1830 3889 1828 3889 1821 3889 1832 3890 1829 3890 1828 3890 1833 3891 1834 3891 1831 3891 1835 3892 1831 3892 1834 3892 1830 3893 1833 3893 1831 3893 1832 3894 1831 3894 1835 3894 1833 3895 1826 3895 1834 3895 1836 3896 1834 3896 1826 3896 1836 3897 1835 3897 1834 3897 1833 3898 1825 3898 1826 3898 1827 3899 1836 3899 1826 3899 1837 3900 1838 3900 1839 3900 1840 3901 1839 3901 1838 3901 1841 3902 1839 3902 1842 3902 1843 3903 1842 3903 1839 3903 1844 3904 1837 3904 1839 3904 1841 3905 1844 3905 1839 3905 1840 3906 1843 3906 1839 3906 1837 3907 1845 3907 1838 3907 1846 3908 1838 3908 1845 3908 1846 3909 1840 3909 1838 3909 1837 3910 1847 3910 1845 3910 1848 3911 1845 3911 1847 3911 1848 3912 1846 3912 1845 3912 1841 3913 1849 3913 1847 3913 1850 3914 1847 3914 1849 3914 1851 3915 1847 3915 1837 3915 1851 3916 1841 3916 1847 3916 1848 3917 1847 3917 1850 3917 1841 3918 1842 3918 1849 3918 1852 3919 1849 3919 1842 3919 1852 3920 1850 3920 1849 3920 1843 3921 1852 3921 1842 3921 1853 3922 1854 3922 1855 3922 1856 3923 1855 3923 1854 3923 1857 3924 1855 3924 1858 3924 1859 3925 1858 3925 1855 3925 1853 3926 1855 3926 1857 3926 1856 3927 1859 3927 1855 3927 1853 3928 1860 3928 1854 3928 1861 3929 1854 3929 1860 3929 1861 3930 1856 3930 1854 3930 1862 3931 1863 3931 1860 3931 1864 3932 1860 3932 1863 3932 1862 3933 1860 3933 1853 3933 1864 3934 1861 3934 1860 3934 1865 3935 1866 3935 1863 3935 1867 3936 1863 3936 1866 3936 1862 3937 1865 3937 1863 3937 1864 3938 1863 3938 1867 3938 1865 3939 1858 3939 1866 3939 1868 3940 1866 3940 1858 3940 1868 3941 1867 3941 1866 3941 1865 3942 1857 3942 1858 3942 1859 3943 1868 3943 1858 3943 1869 3944 1870 3944 1871 3944 1872 3945 1871 3945 1870 3945 1873 3946 1871 3946 1874 3946 1875 3947 1874 3947 1871 3947 1876 3948 1869 3948 1871 3948 1873 3949 1876 3949 1871 3949 1872 3950 1875 3950 1871 3950 1869 3951 1877 3951 1870 3951 1878 3952 1870 3952 1877 3952 1878 3953 1872 3953 1870 3953 1869 3954 1879 3954 1877 3954 1880 3955 1877 3955 1879 3955 1880 3956 1878 3956 1877 3956 1873 3957 1881 3957 1879 3957 1882 3958 1879 3958 1881 3958 1883 3959 1879 3959 1869 3959 1883 3960 1873 3960 1879 3960 1880 3961 1879 3961 1882 3961 1873 3962 1874 3962 1881 3962 1884 3963 1881 3963 1874 3963 1884 3964 1882 3964 1881 3964 1875 3965 1884 3965 1874 3965 1865 3966 1869 3966 1857 3966 1885 3967 1857 3967 1869 3967 1886 3968 1853 3968 1857 3968 1886 3969 1857 3969 1885 3969 1887 3970 1869 3970 1876 3970 1888 3971 1883 3971 1869 3971 1865 3972 1888 3972 1869 3972 1885 3973 1869 3973 1887 3973 1873 3974 1889 3974 1876 3974 1890 3975 1876 3975 1889 3975 1887 3976 1876 3976 1890 3976 1891 3977 1889 3977 1873 3977 1890 3978 1889 3978 1891 3978 1892 3979 1821 3979 1873 3979 1893 3980 1873 3980 1821 3980 1883 3981 1892 3981 1873 3981 1891 3982 1873 3982 1893 3982 1894 3983 1821 3983 1825 3983 1892 3984 1830 3984 1821 3984 1893 3985 1821 3985 1894 3985 1833 3986 1837 3986 1825 3986 1895 3987 1825 3987 1837 3987 1894 3988 1825 3988 1895 3988 1896 3989 1837 3989 1844 3989 1897 3990 1851 3990 1837 3990 1833 3991 1897 3991 1837 3991 1896 3992 1895 3992 1837 3992 1841 3993 1898 3993 1844 3993 1899 3994 1844 3994 1898 3994 1896 3995 1844 3995 1899 3995 1900 3996 1898 3996 1841 3996 1899 3997 1898 3997 1900 3997 1901 3998 1853 3998 1841 3998 1902 3999 1841 3999 1853 3999 1901 4000 1841 4000 1851 4000 1900 4001 1841 4001 1902 4001 1901 4002 1862 4002 1853 4002 1902 4003 1853 4003 1886 4003 1903 4004 1851 4004 1897 4004 1904 4005 1901 4005 1851 4005 1904 4006 1851 4006 1903 4006 1905 4007 1897 4007 1833 4007 1905 4008 1903 4008 1897 4008 1906 4009 1833 4009 1830 4009 1905 4010 1833 4010 1906 4010 1907 4011 1830 4011 1892 4011 1906 4012 1830 4012 1907 4012 1908 4013 1892 4013 1883 4013 1907 4014 1892 4014 1908 4014 1909 4015 1883 4015 1888 4015 1908 4016 1883 4016 1909 4016 1910 4017 1888 4017 1865 4017 1909 4018 1888 4018 1910 4018 1911 4019 1865 4019 1862 4019 1910 4020 1865 4020 1911 4020 1912 4021 1862 4021 1901 4021 1911 4022 1862 4022 1912 4022 1912 4023 1901 4023 1904 4023 1913 4024 1835 4024 1836 4024 1914 4025 1835 4025 1913 4025 1914 4026 1832 4026 1835 4026 1915 4027 1836 4027 1827 4027 1915 4028 1913 4028 1836 4028 1916 4029 1827 4029 1824 4029 1916 4030 1915 4030 1827 4030 1916 4031 1824 4031 1917 4031 1829 4032 1917 4032 1824 4032 1918 4033 1916 4033 1917 4033 1919 4034 1917 4034 1829 4034 1920 4035 1917 4035 1919 4035 1918 4036 1917 4036 1920 4036 1921 4037 1913 4037 1915 4037 1922 4038 1914 4038 1913 4038 1921 4039 1922 4039 1913 4039 1918 4040 1915 4040 1916 4040 1921 4041 1915 4041 1918 4041 1919 4042 1829 4042 1832 4042 1914 4043 1919 4043 1832 4043 1922 4044 1919 4044 1914 4044 1923 4045 1920 4045 1919 4045 1924 4046 1923 4046 1919 4046 1922 4047 1924 4047 1919 4047 1925 4048 1850 4048 1852 4048 1926 4049 1850 4049 1925 4049 1926 4050 1848 4050 1850 4050 1927 4051 1852 4051 1843 4051 1927 4052 1925 4052 1852 4052 1928 4053 1843 4053 1840 4053 1928 4054 1927 4054 1843 4054 1928 4055 1840 4055 1929 4055 1846 4056 1929 4056 1840 4056 1930 4057 1928 4057 1929 4057 1931 4058 1929 4058 1846 4058 1932 4059 1929 4059 1931 4059 1933 4060 1929 4060 1932 4060 1930 4061 1929 4061 1933 4061 1934 4062 1925 4062 1927 4062 1932 4063 1926 4063 1925 4063 1935 4064 1932 4064 1925 4064 1935 4065 1925 4065 1934 4065 1934 4066 1927 4066 1928 4066 1934 4067 1928 4067 1930 4067 1931 4068 1846 4068 1848 4068 1926 4069 1931 4069 1848 4069 1932 4070 1931 4070 1926 4070 1936 4071 1867 4071 1868 4071 1937 4072 1867 4072 1936 4072 1937 4073 1864 4073 1867 4073 1938 4074 1868 4074 1859 4074 1938 4075 1936 4075 1868 4075 1939 4076 1859 4076 1856 4076 1939 4077 1938 4077 1859 4077 1939 4078 1856 4078 1940 4078 1861 4079 1940 4079 1856 4079 1941 4080 1939 4080 1940 4080 1942 4081 1940 4081 1861 4081 1943 4082 1940 4082 1942 4082 1941 4083 1940 4083 1943 4083 1944 4084 1936 4084 1938 4084 1945 4085 1937 4085 1936 4085 1944 4086 1945 4086 1936 4086 1941 4087 1938 4087 1939 4087 1944 4088 1938 4088 1941 4088 1942 4089 1861 4089 1864 4089 1937 4090 1942 4090 1864 4090 1945 4091 1942 4091 1937 4091 1943 4092 1942 4092 1934 4092 1946 4093 1934 4093 1942 4093 1945 4094 1946 4094 1942 4094 1947 4095 1882 4095 1884 4095 1948 4096 1882 4096 1947 4096 1948 4097 1880 4097 1882 4097 1949 4098 1884 4098 1875 4098 1949 4099 1947 4099 1884 4099 1950 4100 1875 4100 1872 4100 1950 4101 1949 4101 1875 4101 1950 4102 1872 4102 1951 4102 1878 4103 1951 4103 1872 4103 1952 4104 1950 4104 1951 4104 1953 4105 1951 4105 1878 4105 1954 4106 1951 4106 1953 4106 1955 4107 1951 4107 1954 4107 1952 4108 1951 4108 1955 4108 1923 4109 1947 4109 1949 4109 1954 4110 1948 4110 1947 4110 1956 4111 1954 4111 1947 4111 1956 4112 1947 4112 1923 4112 1923 4113 1949 4113 1950 4113 1923 4114 1950 4114 1952 4114 1953 4115 1878 4115 1880 4115 1948 4116 1953 4116 1880 4116 1954 4117 1953 4117 1948 4117 1957 4118 1904 4118 1903 4118 1958 4119 1957 4119 1903 4119 1905 4120 1958 4120 1903 4120 1959 4121 1912 4121 1904 4121 1957 4122 1959 4122 1904 4122 1960 4123 1911 4123 1912 4123 1959 4124 1960 4124 1912 4124 1961 4125 1910 4125 1911 4125 1960 4126 1961 4126 1911 4126 1962 4127 1909 4127 1910 4127 1961 4128 1962 4128 1910 4128 1963 4129 1909 4129 1962 4129 1963 4130 1908 4130 1909 4130 1958 4131 1962 4131 1961 4131 1964 4132 1962 4132 1958 4132 1963 4133 1962 4133 1964 4133 1957 4134 1961 4134 1960 4134 1958 4135 1961 4135 1957 4135 1957 4136 1960 4136 1959 4136 1964 4137 1958 4137 1905 4137 1965 4138 1907 4138 1908 4138 1963 4139 1965 4139 1908 4139 1966 4140 1906 4140 1907 4140 1965 4141 1966 4141 1907 4141 1964 4142 1905 4142 1906 4142 1966 4143 1964 4143 1906 4143 1963 4144 1964 4144 1966 4144 1963 4145 1966 4145 1965 4145 1967 4146 1894 4146 1895 4146 1968 4147 1967 4147 1895 4147 1896 4148 1968 4148 1895 4148 1969 4149 1893 4149 1894 4149 1967 4150 1969 4150 1894 4150 1970 4151 1891 4151 1893 4151 1969 4152 1970 4152 1893 4152 1971 4153 1890 4153 1891 4153 1970 4154 1971 4154 1891 4154 1972 4155 1887 4155 1890 4155 1971 4156 1972 4156 1890 4156 1973 4157 1885 4157 1887 4157 1972 4158 1973 4158 1887 4158 1974 4159 1885 4159 1973 4159 1974 4160 1886 4160 1885 4160 1943 4161 1973 4161 1972 4161 1934 4162 1974 4162 1973 4162 1943 4163 1934 4163 1973 4163 1941 4164 1972 4164 1971 4164 1941 4165 1943 4165 1972 4165 1954 4166 1971 4166 1970 4166 1954 4167 1941 4167 1971 4167 1955 4168 1970 4168 1969 4168 1955 4169 1954 4169 1970 4169 1952 4170 1969 4170 1967 4170 1952 4171 1955 4171 1969 4171 1923 4172 1967 4172 1968 4172 1923 4173 1952 4173 1967 4173 1975 4174 1968 4174 1896 4174 1920 4175 1968 4175 1975 4175 1923 4176 1968 4176 1920 4176 1976 4177 1902 4177 1886 4177 1974 4178 1976 4178 1886 4178 1977 4179 1900 4179 1902 4179 1976 4180 1977 4180 1902 4180 1978 4181 1899 4181 1900 4181 1977 4182 1978 4182 1900 4182 1975 4183 1896 4183 1899 4183 1978 4184 1975 4184 1899 4184 1918 4185 1975 4185 1978 4185 1918 4186 1920 4186 1975 4186 1932 4187 1978 4187 1977 4187 1932 4188 1918 4188 1978 4188 1933 4189 1977 4189 1976 4189 1933 4190 1932 4190 1977 4190 1930 4191 1976 4191 1974 4191 1930 4192 1933 4192 1976 4192 1934 4193 1930 4193 1974 4193 1935 4194 1918 4194 1932 4194 1979 4195 1921 4195 1918 4195 1935 4196 1979 4196 1918 4196 1946 4197 1935 4197 1934 4197 1956 4198 1941 4198 1954 4198 1980 4199 1941 4199 1956 4199 1980 4200 1944 4200 1941 4200 1924 4201 1956 4201 1923 4201 1981 4202 1956 4202 1924 4202 1982 4203 1980 4203 1956 4203 1982 4204 1956 4204 1981 4204 1983 4205 1924 4205 1922 4205 1983 4206 1981 4206 1924 4206 1984 4207 1922 4207 1921 4207 1983 4208 1922 4208 1984 4208 1985 4209 1921 4209 1979 4209 1984 4210 1921 4210 1985 4210 1986 4211 1979 4211 1935 4211 1985 4212 1979 4212 1986 4212 1987 4213 1935 4213 1946 4213 1986 4214 1935 4214 1987 4214 1988 4215 1946 4215 1945 4215 1987 4216 1946 4216 1988 4216 1989 4217 1945 4217 1944 4217 1988 4218 1945 4218 1989 4218 1990 4219 1944 4219 1980 4219 1989 4220 1944 4220 1990 4220 1990 4221 1980 4221 1982 4221 1991 4222 1992 4222 1993 4222 1994 4223 1993 4223 1992 4223 1995 4224 1991 4224 1993 4224 1995 4225 1993 4225 1994 4225 1996 4226 1997 4226 1992 4226 1998 4227 1992 4227 1997 4227 1991 4228 1996 4228 1992 4228 1994 4229 1992 4229 1998 4229 1999 4230 2000 4230 1997 4230 2001 4231 1997 4231 2000 4231 1996 4232 1999 4232 1997 4232 1998 4233 1997 4233 2001 4233 2002 4234 2003 4234 2000 4234 2004 4235 2000 4235 2003 4235 1999 4236 2002 4236 2000 4236 2001 4237 2000 4237 2004 4237 2005 4238 2006 4238 2003 4238 2007 4239 2003 4239 2006 4239 2002 4240 2005 4240 2003 4240 2004 4241 2003 4241 2007 4241 2008 4242 2009 4242 2006 4242 2010 4243 2006 4243 2009 4243 2005 4244 2008 4244 2006 4244 2007 4245 2006 4245 2010 4245 2011 4246 2012 4246 2009 4246 2013 4247 2009 4247 2012 4247 2008 4248 2011 4248 2009 4248 2010 4249 2009 4249 2013 4249 2011 4250 2014 4250 2012 4250 2015 4251 2012 4251 2014 4251 2013 4252 2012 4252 2015 4252 2016 4253 2014 4253 2011 4253 2015 4254 2014 4254 2016 4254 2017 4255 2011 4255 2008 4255 2017 4256 2016 4256 2011 4256 2018 4257 2008 4257 2005 4257 2017 4258 2008 4258 2018 4258 2019 4259 2005 4259 2002 4259 2018 4260 2005 4260 2019 4260 2020 4261 2002 4261 1999 4261 2019 4262 2002 4262 2020 4262 2021 4263 1999 4263 1996 4263 2020 4264 1999 4264 2021 4264 2022 4265 1996 4265 1991 4265 2021 4266 1996 4266 2022 4266 2022 4267 1991 4267 1995 4267 2017 4268 1982 4268 1981 4268 2015 4269 1981 4269 1983 4269 2015 4270 2016 4270 1981 4270 2017 4271 1981 4271 2016 4271 2019 4272 1990 4272 1982 4272 2018 4273 2019 4273 1982 4273 2017 4274 2018 4274 1982 4274 2020 4275 1989 4275 1990 4275 2019 4276 2020 4276 1990 4276 2022 4277 1988 4277 1989 4277 2021 4278 2022 4278 1989 4278 2020 4279 2021 4279 1989 4279 1995 4280 1987 4280 1988 4280 2022 4281 1995 4281 1988 4281 1998 4282 1986 4282 1987 4282 1994 4283 1998 4283 1987 4283 1995 4284 1994 4284 1987 4284 2004 4285 1985 4285 1986 4285 2001 4286 2004 4286 1986 4286 1998 4287 2001 4287 1986 4287 2007 4288 1984 4288 1985 4288 2004 4289 2007 4289 1985 4289 2013 4290 1983 4290 1984 4290 2010 4291 2013 4291 1984 4291 2007 4292 2010 4292 1984 4292 2013 4293 2015 4293 1983 4293 2023 4294 2024 4294 2025 4294 2026 4295 2025 4295 2024 4295 2027 4296 2025 4296 2028 4296 2029 4297 2028 4297 2025 4297 2027 4298 2023 4298 2025 4298 2026 4299 2029 4299 2025 4299 2023 4300 2030 4300 2024 4300 2031 4301 2024 4301 2030 4301 2031 4302 2026 4302 2024 4302 2032 4303 2033 4303 2030 4303 2034 4304 2030 4304 2033 4304 2032 4305 2030 4305 2023 4305 2034 4306 2031 4306 2030 4306 2035 4307 2036 4307 2033 4307 2037 4308 2033 4308 2036 4308 2032 4309 2035 4309 2033 4309 2034 4310 2033 4310 2037 4310 2035 4311 2028 4311 2036 4311 2038 4312 2036 4312 2028 4312 2038 4313 2037 4313 2036 4313 2035 4314 2027 4314 2028 4314 2029 4315 2038 4315 2028 4315 2039 4316 2040 4316 2041 4316 2042 4317 2041 4317 2040 4317 2043 4318 2041 4318 2044 4318 2045 4319 2044 4319 2041 4319 2046 4320 2039 4320 2041 4320 2043 4321 2046 4321 2041 4321 2042 4322 2045 4322 2041 4322 2039 4323 2047 4323 2040 4323 2048 4324 2040 4324 2047 4324 2048 4325 2042 4325 2040 4325 2039 4326 2049 4326 2047 4326 2050 4327 2047 4327 2049 4327 2050 4328 2048 4328 2047 4328 2043 4329 2051 4329 2049 4329 2052 4330 2049 4330 2051 4330 2053 4331 2049 4331 2039 4331 2053 4332 2043 4332 2049 4332 2050 4333 2049 4333 2052 4333 2043 4334 2044 4334 2051 4334 2054 4335 2051 4335 2044 4335 2054 4336 2052 4336 2051 4336 2045 4337 2054 4337 2044 4337 2055 4338 2056 4338 2057 4338 2058 4339 2057 4339 2056 4339 2059 4340 2057 4340 2060 4340 2061 4341 2060 4341 2057 4341 2055 4342 2057 4342 2059 4342 2058 4343 2061 4343 2057 4343 2055 4344 2062 4344 2056 4344 2063 4345 2056 4345 2062 4345 2063 4346 2058 4346 2056 4346 2064 4347 2065 4347 2062 4347 2066 4348 2062 4348 2065 4348 2064 4349 2062 4349 2055 4349 2066 4350 2063 4350 2062 4350 2067 4351 2068 4351 2065 4351 2069 4352 2065 4352 2068 4352 2064 4353 2067 4353 2065 4353 2066 4354 2065 4354 2069 4354 2067 4355 2060 4355 2068 4355 2070 4356 2068 4356 2060 4356 2070 4357 2069 4357 2068 4357 2067 4358 2059 4358 2060 4358 2061 4359 2070 4359 2060 4359 2071 4360 2072 4360 2073 4360 2074 4361 2073 4361 2072 4361 2075 4362 2073 4362 2076 4362 2077 4363 2076 4363 2073 4363 2078 4364 2071 4364 2073 4364 2075 4365 2078 4365 2073 4365 2074 4366 2077 4366 2073 4366 2071 4367 2079 4367 2072 4367 2080 4368 2072 4368 2079 4368 2080 4369 2074 4369 2072 4369 2071 4370 2081 4370 2079 4370 2082 4371 2079 4371 2081 4371 2082 4372 2080 4372 2079 4372 2075 4373 2083 4373 2081 4373 2084 4374 2081 4374 2083 4374 2085 4375 2081 4375 2071 4375 2085 4376 2075 4376 2081 4376 2082 4377 2081 4377 2084 4377 2075 4378 2076 4378 2083 4378 2086 4379 2083 4379 2076 4379 2086 4380 2084 4380 2083 4380 2077 4381 2086 4381 2076 4381 2067 4382 2071 4382 2059 4382 2087 4383 2059 4383 2071 4383 2088 4384 2055 4384 2059 4384 2088 4385 2059 4385 2087 4385 2089 4386 2071 4386 2078 4386 2090 4387 2085 4387 2071 4387 2067 4388 2090 4388 2071 4388 2087 4389 2071 4389 2089 4389 2075 4390 2091 4390 2078 4390 2092 4391 2078 4391 2091 4391 2089 4392 2078 4392 2092 4392 2093 4393 2091 4393 2075 4393 2092 4394 2091 4394 2093 4394 2094 4395 2023 4395 2075 4395 2095 4396 2075 4396 2023 4396 2085 4397 2094 4397 2075 4397 2093 4398 2075 4398 2095 4398 2096 4399 2023 4399 2027 4399 2094 4400 2032 4400 2023 4400 2095 4401 2023 4401 2096 4401 2035 4402 2039 4402 2027 4402 2097 4403 2027 4403 2039 4403 2096 4404 2027 4404 2097 4404 2098 4405 2039 4405 2046 4405 2099 4406 2053 4406 2039 4406 2035 4407 2099 4407 2039 4407 2098 4408 2097 4408 2039 4408 2043 4409 2100 4409 2046 4409 2101 4410 2046 4410 2100 4410 2098 4411 2046 4411 2101 4411 2102 4412 2100 4412 2043 4412 2101 4413 2100 4413 2102 4413 2103 4414 2055 4414 2043 4414 2104 4415 2043 4415 2055 4415 2103 4416 2043 4416 2053 4416 2102 4417 2043 4417 2104 4417 2103 4418 2064 4418 2055 4418 2104 4419 2055 4419 2088 4419 2105 4420 2053 4420 2099 4420 2106 4421 2103 4421 2053 4421 2106 4422 2053 4422 2105 4422 2107 4423 2099 4423 2035 4423 2107 4424 2105 4424 2099 4424 2108 4425 2035 4425 2032 4425 2107 4426 2035 4426 2108 4426 2109 4427 2032 4427 2094 4427 2108 4428 2032 4428 2109 4428 2110 4429 2094 4429 2085 4429 2109 4430 2094 4430 2110 4430 2111 4431 2085 4431 2090 4431 2110 4432 2085 4432 2111 4432 2112 4433 2090 4433 2067 4433 2111 4434 2090 4434 2112 4434 2113 4435 2067 4435 2064 4435 2112 4436 2067 4436 2113 4436 2114 4437 2064 4437 2103 4437 2113 4438 2064 4438 2114 4438 2114 4439 2103 4439 2106 4439 2115 4440 2037 4440 2038 4440 2116 4441 2037 4441 2115 4441 2116 4442 2034 4442 2037 4442 2117 4443 2038 4443 2029 4443 2117 4444 2115 4444 2038 4444 2118 4445 2029 4445 2026 4445 2118 4446 2117 4446 2029 4446 2118 4447 2026 4447 2119 4447 2031 4448 2119 4448 2026 4448 2120 4449 2118 4449 2119 4449 2121 4450 2119 4450 2031 4450 2122 4451 2119 4451 2121 4451 2120 4452 2119 4452 2122 4452 2123 4453 2115 4453 2117 4453 2124 4454 2116 4454 2115 4454 2123 4455 2124 4455 2115 4455 2120 4456 2117 4456 2118 4456 2123 4457 2117 4457 2120 4457 2121 4458 2031 4458 2034 4458 2116 4459 2121 4459 2034 4459 2124 4460 2121 4460 2116 4460 2125 4461 2122 4461 2121 4461 2126 4462 2125 4462 2121 4462 2124 4463 2126 4463 2121 4463 2127 4464 2052 4464 2054 4464 2128 4465 2052 4465 2127 4465 2128 4466 2050 4466 2052 4466 2129 4467 2054 4467 2045 4467 2129 4468 2127 4468 2054 4468 2130 4469 2045 4469 2042 4469 2130 4470 2129 4470 2045 4470 2130 4471 2042 4471 2131 4471 2048 4472 2131 4472 2042 4472 2132 4473 2130 4473 2131 4473 2133 4474 2131 4474 2048 4474 2134 4475 2131 4475 2133 4475 2135 4476 2131 4476 2134 4476 2132 4477 2131 4477 2135 4477 2136 4478 2127 4478 2129 4478 2134 4479 2128 4479 2127 4479 2137 4480 2134 4480 2127 4480 2137 4481 2127 4481 2136 4481 2136 4482 2129 4482 2130 4482 2136 4483 2130 4483 2132 4483 2133 4484 2048 4484 2050 4484 2128 4485 2133 4485 2050 4485 2134 4486 2133 4486 2128 4486 2138 4487 2069 4487 2070 4487 2139 4488 2069 4488 2138 4488 2139 4489 2066 4489 2069 4489 2140 4490 2070 4490 2061 4490 2140 4491 2138 4491 2070 4491 2141 4492 2061 4492 2058 4492 2141 4493 2140 4493 2061 4493 2141 4494 2058 4494 2142 4494 2063 4495 2142 4495 2058 4495 2143 4496 2141 4496 2142 4496 2144 4497 2142 4497 2063 4497 2145 4498 2142 4498 2144 4498 2143 4499 2142 4499 2145 4499 2146 4500 2138 4500 2140 4500 2147 4501 2139 4501 2138 4501 2146 4502 2147 4502 2138 4502 2143 4503 2140 4503 2141 4503 2146 4504 2140 4504 2143 4504 2144 4505 2063 4505 2066 4505 2139 4506 2144 4506 2066 4506 2147 4507 2144 4507 2139 4507 2145 4508 2144 4508 2136 4508 2148 4509 2136 4509 2144 4509 2147 4510 2148 4510 2144 4510 2149 4511 2084 4511 2086 4511 2150 4512 2084 4512 2149 4512 2150 4513 2082 4513 2084 4513 2151 4514 2086 4514 2077 4514 2151 4515 2149 4515 2086 4515 2152 4516 2077 4516 2074 4516 2152 4517 2151 4517 2077 4517 2152 4518 2074 4518 2153 4518 2080 4519 2153 4519 2074 4519 2154 4520 2152 4520 2153 4520 2155 4521 2153 4521 2080 4521 2156 4522 2153 4522 2155 4522 2157 4523 2153 4523 2156 4523 2154 4524 2153 4524 2157 4524 2125 4525 2149 4525 2151 4525 2156 4526 2150 4526 2149 4526 2158 4527 2156 4527 2149 4527 2158 4528 2149 4528 2125 4528 2125 4529 2151 4529 2152 4529 2125 4530 2152 4530 2154 4530 2155 4531 2080 4531 2082 4531 2150 4532 2155 4532 2082 4532 2156 4533 2155 4533 2150 4533 2159 4534 2106 4534 2105 4534 2160 4535 2159 4535 2105 4535 2107 4536 2160 4536 2105 4536 2161 4537 2114 4537 2106 4537 2159 4538 2161 4538 2106 4538 2162 4539 2113 4539 2114 4539 2161 4540 2162 4540 2114 4540 2163 4541 2112 4541 2113 4541 2162 4542 2163 4542 2113 4542 2164 4543 2111 4543 2112 4543 2163 4544 2164 4544 2112 4544 2165 4545 2111 4545 2164 4545 2165 4546 2110 4546 2111 4546 2160 4547 2164 4547 2163 4547 2166 4548 2164 4548 2160 4548 2165 4549 2164 4549 2166 4549 2159 4550 2163 4550 2162 4550 2160 4551 2163 4551 2159 4551 2159 4552 2162 4552 2161 4552 2166 4553 2160 4553 2107 4553 2167 4554 2109 4554 2110 4554 2165 4555 2167 4555 2110 4555 2168 4556 2108 4556 2109 4556 2167 4557 2168 4557 2109 4557 2166 4558 2107 4558 2108 4558 2168 4559 2166 4559 2108 4559 2165 4560 2166 4560 2168 4560 2165 4561 2168 4561 2167 4561 2169 4562 2096 4562 2097 4562 2170 4563 2169 4563 2097 4563 2098 4564 2170 4564 2097 4564 2171 4565 2095 4565 2096 4565 2169 4566 2171 4566 2096 4566 2172 4567 2093 4567 2095 4567 2171 4568 2172 4568 2095 4568 2173 4569 2092 4569 2093 4569 2172 4570 2173 4570 2093 4570 2174 4571 2089 4571 2092 4571 2173 4572 2174 4572 2092 4572 2175 4573 2087 4573 2089 4573 2174 4574 2175 4574 2089 4574 2176 4575 2087 4575 2175 4575 2176 4576 2088 4576 2087 4576 2145 4577 2175 4577 2174 4577 2136 4578 2176 4578 2175 4578 2145 4579 2136 4579 2175 4579 2143 4580 2174 4580 2173 4580 2143 4581 2145 4581 2174 4581 2156 4582 2173 4582 2172 4582 2156 4583 2143 4583 2173 4583 2157 4584 2172 4584 2171 4584 2157 4585 2156 4585 2172 4585 2154 4586 2171 4586 2169 4586 2154 4587 2157 4587 2171 4587 2125 4588 2169 4588 2170 4588 2125 4589 2154 4589 2169 4589 2177 4590 2170 4590 2098 4590 2122 4591 2170 4591 2177 4591 2125 4592 2170 4592 2122 4592 2178 4593 2104 4593 2088 4593 2176 4594 2178 4594 2088 4594 2179 4595 2102 4595 2104 4595 2178 4596 2179 4596 2104 4596 2180 4597 2101 4597 2102 4597 2179 4598 2180 4598 2102 4598 2177 4599 2098 4599 2101 4599 2180 4600 2177 4600 2101 4600 2120 4601 2177 4601 2180 4601 2120 4602 2122 4602 2177 4602 2134 4603 2180 4603 2179 4603 2134 4604 2120 4604 2180 4604 2135 4605 2179 4605 2178 4605 2135 4606 2134 4606 2179 4606 2132 4607 2178 4607 2176 4607 2132 4608 2135 4608 2178 4608 2136 4609 2132 4609 2176 4609 2137 4610 2120 4610 2134 4610 2181 4611 2123 4611 2120 4611 2137 4612 2181 4612 2120 4612 2148 4613 2137 4613 2136 4613 2158 4614 2143 4614 2156 4614 2182 4615 2143 4615 2158 4615 2182 4616 2146 4616 2143 4616 2126 4617 2158 4617 2125 4617 2183 4618 2158 4618 2126 4618 2184 4619 2182 4619 2158 4619 2184 4620 2158 4620 2183 4620 2185 4621 2126 4621 2124 4621 2185 4622 2183 4622 2126 4622 2186 4623 2124 4623 2123 4623 2185 4624 2124 4624 2186 4624 2187 4625 2123 4625 2181 4625 2186 4626 2123 4626 2187 4626 2188 4627 2181 4627 2137 4627 2187 4628 2181 4628 2188 4628 2189 4629 2137 4629 2148 4629 2188 4630 2137 4630 2189 4630 2190 4631 2148 4631 2147 4631 2189 4632 2148 4632 2190 4632 2191 4633 2147 4633 2146 4633 2190 4634 2147 4634 2191 4634 2192 4635 2146 4635 2182 4635 2191 4636 2146 4636 2192 4636 2192 4637 2182 4637 2184 4637 2193 4638 2194 4638 2195 4638 2196 4639 2195 4639 2194 4639 2197 4640 2193 4640 2195 4640 2197 4641 2195 4641 2196 4641 2198 4642 2199 4642 2194 4642 2200 4643 2194 4643 2199 4643 2193 4644 2198 4644 2194 4644 2196 4645 2194 4645 2200 4645 2201 4646 2202 4646 2199 4646 2203 4647 2199 4647 2202 4647 2198 4648 2201 4648 2199 4648 2200 4649 2199 4649 2203 4649 2204 4650 2205 4650 2202 4650 2206 4651 2202 4651 2205 4651 2201 4652 2204 4652 2202 4652 2203 4653 2202 4653 2206 4653 2207 4654 2208 4654 2205 4654 2209 4655 2205 4655 2208 4655 2204 4656 2207 4656 2205 4656 2206 4657 2205 4657 2209 4657 2210 4658 2211 4658 2208 4658 2212 4659 2208 4659 2211 4659 2207 4660 2210 4660 2208 4660 2209 4661 2208 4661 2212 4661 2213 4662 2214 4662 2211 4662 2215 4663 2211 4663 2214 4663 2210 4664 2213 4664 2211 4664 2212 4665 2211 4665 2215 4665 2213 4666 2216 4666 2214 4666 2217 4667 2214 4667 2216 4667 2215 4668 2214 4668 2217 4668 2218 4669 2216 4669 2213 4669 2217 4670 2216 4670 2218 4670 2219 4671 2213 4671 2210 4671 2219 4672 2218 4672 2213 4672 2220 4673 2210 4673 2207 4673 2219 4674 2210 4674 2220 4674 2221 4675 2207 4675 2204 4675 2220 4676 2207 4676 2221 4676 2222 4677 2204 4677 2201 4677 2221 4678 2204 4678 2222 4678 2223 4679 2201 4679 2198 4679 2222 4680 2201 4680 2223 4680 2224 4681 2198 4681 2193 4681 2223 4682 2198 4682 2224 4682 2224 4683 2193 4683 2197 4683 2219 4684 2184 4684 2183 4684 2217 4685 2183 4685 2185 4685 2217 4686 2218 4686 2183 4686 2219 4687 2183 4687 2218 4687 2221 4688 2192 4688 2184 4688 2220 4689 2221 4689 2184 4689 2219 4690 2220 4690 2184 4690 2222 4691 2191 4691 2192 4691 2221 4692 2222 4692 2192 4692 2224 4693 2190 4693 2191 4693 2223 4694 2224 4694 2191 4694 2222 4695 2223 4695 2191 4695 2197 4696 2189 4696 2190 4696 2224 4697 2197 4697 2190 4697 2200 4698 2188 4698 2189 4698 2196 4699 2200 4699 2189 4699 2197 4700 2196 4700 2189 4700 2206 4701 2187 4701 2188 4701 2203 4702 2206 4702 2188 4702 2200 4703 2203 4703 2188 4703 2209 4704 2186 4704 2187 4704 2206 4705 2209 4705 2187 4705 2215 4706 2185 4706 2186 4706 2212 4707 2215 4707 2186 4707 2209 4708 2212 4708 2186 4708 2215 4709 2217 4709 2185 4709 2225 4710 2226 4710 2227 4710 2228 4711 2227 4711 2226 4711 2229 4712 2227 4712 2230 4712 2231 4713 2230 4713 2227 4713 2225 4714 2227 4714 2229 4714 2228 4715 2231 4715 2227 4715 2232 4716 2233 4716 2226 4716 2234 4717 2226 4717 2233 4717 2225 4718 2235 4718 2226 4718 2236 4719 2226 4719 2235 4719 2236 4720 2232 4720 2226 4720 2228 4721 2226 4721 2237 4721 2234 4722 2237 4722 2226 4722 2235 4723 2238 4723 2233 4723 2234 4724 2233 4724 2238 4724 2239 4725 2235 4725 2233 4725 2232 4726 2239 4726 2233 4726 2240 4727 2241 4727 2238 4727 2242 4728 2238 4728 2241 4728 2235 4729 2240 4729 2238 4729 2234 4730 2238 4730 2242 4730 2240 4731 2243 4731 2241 4731 2244 4732 2241 4732 2243 4732 2242 4733 2241 4733 2244 4733 2245 4734 2246 4734 2243 4734 2247 4735 2243 4735 2246 4735 2240 4736 2245 4736 2243 4736 2244 4737 2243 4737 2247 4737 2248 4738 2249 4738 2246 4738 2247 4739 2246 4739 2249 4739 2250 4740 2246 4740 2245 4740 2250 4741 2248 4741 2246 4741 2251 4742 2252 4742 2249 4742 2253 4743 2249 4743 2252 4743 2254 4744 2251 4744 2249 4744 2255 4745 2254 4745 2249 4745 2255 4746 2249 4746 2248 4746 2247 4747 2249 4747 2253 4747 2256 4748 2257 4748 2252 4748 2258 4749 2252 4749 2257 4749 2251 4750 2256 4750 2252 4750 2253 4751 2252 4751 2258 4751 2259 4752 2260 4752 2257 4752 2261 4753 2257 4753 2260 4753 2256 4754 2262 4754 2257 4754 2263 4755 2257 4755 2262 4755 2263 4756 2259 4756 2257 4756 2264 4757 2257 4757 2261 4757 2258 4758 2257 4758 2264 4758 2262 4759 2265 4759 2260 4759 2261 4760 2260 4760 2265 4760 2266 4761 2262 4761 2260 4761 2266 4762 2260 4762 2259 4762 2267 4763 2268 4763 2265 4763 2269 4764 2265 4764 2268 4764 2262 4765 2267 4765 2265 4765 2261 4766 2265 4766 2269 4766 2267 4767 2270 4767 2268 4767 2271 4768 2268 4768 2270 4768 2269 4769 2268 4769 2271 4769 2272 4770 2273 4770 2270 4770 2274 4771 2270 4771 2273 4771 2267 4772 2272 4772 2270 4772 2271 4773 2270 4773 2274 4773 2275 4774 2230 4774 2273 4774 2274 4775 2273 4775 2230 4775 2276 4776 2273 4776 2272 4776 2276 4777 2275 4777 2273 4777 2277 4778 2229 4778 2230 4778 2278 4779 2277 4779 2230 4779 2275 4780 2278 4780 2230 4780 2274 4781 2230 4781 2231 4781 2279 4782 2229 4782 2277 4782 2280 4783 2225 4783 2229 4783 2280 4784 2229 4784 2279 4784 2281 4785 2272 4785 2277 4785 2282 4786 2277 4786 2272 4786 2278 4787 2281 4787 2277 4787 2282 4788 2279 4788 2277 4788 2283 4789 2272 4789 2267 4789 2276 4790 2272 4790 2281 4790 2283 4791 2282 4791 2272 4791 2284 4792 2267 4792 2262 4792 2284 4793 2283 4793 2267 4793 2285 4794 2262 4794 2256 4794 2286 4795 2263 4795 2262 4795 2266 4796 2286 4796 2262 4796 2285 4797 2284 4797 2262 4797 2287 4798 2256 4798 2251 4798 2287 4799 2285 4799 2256 4799 2288 4800 2251 4800 2254 4800 2288 4801 2287 4801 2251 4801 2289 4802 2245 4802 2254 4802 2290 4803 2254 4803 2245 4803 2255 4804 2289 4804 2254 4804 2290 4805 2288 4805 2254 4805 2291 4806 2245 4806 2240 4806 2289 4807 2250 4807 2245 4807 2290 4808 2245 4808 2291 4808 2292 4809 2240 4809 2235 4809 2291 4810 2240 4810 2292 4810 2293 4811 2235 4811 2225 4811 2239 4812 2294 4812 2235 4812 2236 4813 2235 4813 2294 4813 2292 4814 2235 4814 2293 4814 2293 4815 2225 4815 2280 4815 2295 4816 2294 4816 2239 4816 2296 4817 2236 4817 2294 4817 2296 4818 2294 4818 2295 4818 2297 4819 2239 4819 2232 4819 2297 4820 2295 4820 2239 4820 2298 4821 2232 4821 2236 4821 2297 4822 2232 4822 2298 4822 2298 4823 2236 4823 2296 4823 2299 4824 2248 4824 2250 4824 2300 4825 2255 4825 2248 4825 2300 4826 2248 4826 2299 4826 2301 4827 2250 4827 2289 4827 2301 4828 2299 4828 2250 4828 2302 4829 2289 4829 2255 4829 2301 4830 2289 4830 2302 4830 2302 4831 2255 4831 2300 4831 2303 4832 2259 4832 2263 4832 2304 4833 2266 4833 2259 4833 2304 4834 2259 4834 2303 4834 2305 4835 2263 4835 2286 4835 2305 4836 2303 4836 2263 4836 2306 4837 2286 4837 2266 4837 2305 4838 2286 4838 2306 4838 2306 4839 2266 4839 2304 4839 2307 4840 2281 4840 2278 4840 2308 4841 2276 4841 2281 4841 2308 4842 2281 4842 2307 4842 2309 4843 2278 4843 2275 4843 2309 4844 2307 4844 2278 4844 2310 4845 2275 4845 2276 4845 2309 4846 2275 4846 2310 4846 2310 4847 2276 4847 2308 4847 2311 4848 2279 4848 2282 4848 2312 4849 2280 4849 2279 4849 2312 4850 2279 4850 2311 4850 2313 4851 2282 4851 2283 4851 2314 4852 2311 4852 2282 4852 2313 4853 2314 4853 2282 4853 2315 4854 2283 4854 2284 4854 2315 4855 2313 4855 2283 4855 2315 4856 2284 4856 2285 4856 2316 4857 2285 4857 2287 4857 2316 4858 2315 4858 2285 4858 2317 4859 2287 4859 2288 4859 2317 4860 2316 4860 2287 4860 2318 4861 2288 4861 2290 4861 2318 4862 2317 4862 2288 4862 2319 4863 2293 4863 2280 4863 2312 4864 2319 4864 2280 4864 2320 4865 2292 4865 2293 4865 2319 4866 2320 4866 2293 4866 2320 4867 2291 4867 2292 4867 2321 4868 2290 4868 2291 4868 2320 4869 2321 4869 2291 4869 2322 4870 2318 4870 2290 4870 2321 4871 2322 4871 2290 4871 2323 4872 2311 4872 2314 4872 2324 4873 2312 4873 2311 4873 2324 4874 2311 4874 2323 4874 2325 4875 2314 4875 2313 4875 2325 4876 2323 4876 2314 4876 2326 4877 2313 4877 2315 4877 2326 4878 2325 4878 2313 4878 2327 4879 2315 4879 2316 4879 2327 4880 2326 4880 2315 4880 2328 4881 2316 4881 2317 4881 2328 4882 2327 4882 2316 4882 2329 4883 2317 4883 2318 4883 2329 4884 2328 4884 2317 4884 2330 4885 2318 4885 2322 4885 2330 4886 2329 4886 2318 4886 2331 4887 2322 4887 2321 4887 2331 4888 2330 4888 2322 4888 2332 4889 2321 4889 2320 4889 2331 4890 2321 4890 2332 4890 2333 4891 2320 4891 2319 4891 2332 4892 2320 4892 2333 4892 2334 4893 2319 4893 2312 4893 2333 4894 2319 4894 2334 4894 2334 4895 2312 4895 2324 4895 2335 4896 2323 4896 2325 4896 2336 4897 2324 4897 2323 4897 2336 4898 2323 4898 2335 4898 2337 4899 2325 4899 2326 4899 2337 4900 2335 4900 2325 4900 2328 4901 2326 4901 2327 4901 2338 4902 2326 4902 2328 4902 2339 4903 2337 4903 2326 4903 2338 4904 2339 4904 2326 4904 2338 4905 2328 4905 2329 4905 2340 4906 2329 4906 2330 4906 2340 4907 2338 4907 2329 4907 2341 4908 2330 4908 2331 4908 2341 4909 2340 4909 2330 4909 2342 4910 2334 4910 2324 4910 2336 4911 2342 4911 2324 4911 2332 4912 2333 4912 2334 4912 2342 4913 2332 4913 2334 4913 2343 4914 2331 4914 2332 4914 2344 4915 2343 4915 2332 4915 2342 4916 2344 4916 2332 4916 2343 4917 2341 4917 2331 4917 2345 4918 2335 4918 2337 4918 2346 4919 2336 4919 2335 4919 2346 4920 2335 4920 2345 4920 2347 4921 2337 4921 2339 4921 2348 4922 2345 4922 2337 4922 2347 4923 2348 4923 2337 4923 2349 4924 2339 4924 2338 4924 2349 4925 2347 4925 2339 4925 2350 4926 2338 4926 2340 4926 2350 4927 2349 4927 2338 4927 2351 4928 2340 4928 2341 4928 2351 4929 2350 4929 2340 4929 2352 4930 2341 4930 2343 4930 2352 4931 2351 4931 2341 4931 2353 4932 2343 4932 2344 4932 2352 4933 2343 4933 2354 4933 2353 4934 2354 4934 2343 4934 2355 4935 2344 4935 2342 4935 2355 4936 2353 4936 2344 4936 2356 4937 2342 4937 2336 4937 2356 4938 2355 4938 2342 4938 2346 4939 2356 4939 2336 4939 2346 4940 2345 4940 2348 4940 2357 4941 2348 4941 2347 4941 2358 4942 2348 4942 2357 4942 2358 4943 2346 4943 2348 4943 2359 4944 2347 4944 2349 4944 2359 4945 2357 4945 2347 4945 2360 4946 2349 4946 2350 4946 2360 4947 2359 4947 2349 4947 2361 4948 2350 4948 2351 4948 2361 4949 2360 4949 2350 4949 2352 4950 2354 4950 2351 4950 2362 4951 2351 4951 2354 4951 2362 4952 2361 4952 2351 4952 2363 4953 2362 4953 2354 4953 2353 4954 2363 4954 2354 4954 2364 4955 2357 4955 2359 4955 2365 4956 2357 4956 2364 4956 2358 4957 2357 4957 2365 4957 2366 4958 2359 4958 2360 4958 2367 4959 2364 4959 2359 4959 2366 4960 2367 4960 2359 4960 2368 4961 2360 4961 2361 4961 2368 4962 2366 4962 2360 4962 2369 4963 2361 4963 2362 4963 2369 4964 2368 4964 2361 4964 2370 4965 2362 4965 2363 4965 2370 4966 2369 4966 2362 4966 2371 4967 2370 4967 2363 4967 2372 4968 2371 4968 2363 4968 2372 4969 2363 4969 2353 4969 2365 4970 2364 4970 2367 4970 2373 4971 2367 4971 2366 4971 2374 4972 2365 4972 2367 4972 2374 4973 2367 4973 2373 4973 2375 4974 2366 4974 2368 4974 2375 4975 2373 4975 2366 4975 2376 4976 2368 4976 2369 4976 2377 4977 2375 4977 2368 4977 2376 4978 2377 4978 2368 4978 2376 4979 2369 4979 2370 4979 2371 4980 2378 4980 2370 4980 2379 4981 2370 4981 2378 4981 2379 4982 2376 4982 2370 4982 2372 4983 2378 4983 2371 4983 2380 4984 2378 4984 2381 4984 2372 4985 2381 4985 2378 4985 2380 4986 2379 4986 2378 4986 2382 4987 2383 4987 2365 4987 2358 4988 2365 4988 2383 4988 2374 4989 2382 4989 2365 4989 2382 4990 2384 4990 2383 4990 2385 4991 2383 4991 2384 4991 2358 4992 2383 4992 2385 4992 2386 4993 2381 4993 2384 4993 2387 4994 2384 4994 2381 4994 2388 4995 2386 4995 2384 4995 2382 4996 2388 4996 2384 4996 2385 4997 2384 4997 2387 4997 2386 4998 2380 4998 2381 4998 2387 4999 2381 4999 2372 4999 2389 5000 2373 5000 2375 5000 2390 5001 2374 5001 2373 5001 2390 5002 2373 5002 2389 5002 2391 5003 2375 5003 2377 5003 2391 5004 2389 5004 2375 5004 2376 5005 2392 5005 2377 5005 2393 5006 2377 5006 2392 5006 2393 5007 2391 5007 2377 5007 2394 5008 2392 5008 2376 5008 2394 5009 2393 5009 2392 5009 2395 5010 2376 5010 2379 5010 2395 5011 2394 5011 2376 5011 2396 5012 2379 5012 2380 5012 2396 5013 2395 5013 2379 5013 2397 5014 2380 5014 2386 5014 2397 5015 2396 5015 2380 5015 2398 5016 2386 5016 2388 5016 2398 5017 2397 5017 2386 5017 2382 5018 2399 5018 2388 5018 2400 5019 2388 5019 2399 5019 2398 5020 2388 5020 2400 5020 2401 5021 2399 5021 2382 5021 2400 5022 2399 5022 2401 5022 2402 5023 2382 5023 2374 5023 2401 5024 2382 5024 2402 5024 2402 5025 2374 5025 2390 5025 2403 5026 2389 5026 2391 5026 2404 5027 2390 5027 2389 5027 2404 5028 2389 5028 2403 5028 2405 5029 2391 5029 2393 5029 2405 5030 2403 5030 2391 5030 2406 5031 2393 5031 2394 5031 2406 5032 2405 5032 2393 5032 2407 5033 2394 5033 2395 5033 2408 5034 2406 5034 2394 5034 2407 5035 2408 5035 2394 5035 2409 5036 2395 5036 2396 5036 2409 5037 2407 5037 2395 5037 2409 5038 2396 5038 2397 5038 2410 5039 2397 5039 2398 5039 2410 5040 2409 5040 2397 5040 2404 5041 2402 5041 2390 5041 2411 5042 2401 5042 2402 5042 2404 5043 2411 5043 2402 5043 2412 5044 2400 5044 2401 5044 2413 5045 2412 5045 2401 5045 2411 5046 2413 5046 2401 5046 2414 5047 2398 5047 2400 5047 2412 5048 2414 5048 2400 5048 2414 5049 2410 5049 2398 5049 2415 5050 2403 5050 2405 5050 2416 5051 2404 5051 2403 5051 2416 5052 2403 5052 2415 5052 2417 5053 2405 5053 2406 5053 2417 5054 2415 5054 2405 5054 2418 5055 2406 5055 2408 5055 2418 5056 2417 5056 2406 5056 2419 5057 2408 5057 2407 5057 2419 5058 2418 5058 2408 5058 2420 5059 2407 5059 2409 5059 2420 5060 2419 5060 2407 5060 2421 5061 2409 5061 2410 5061 2421 5062 2420 5062 2409 5062 2422 5063 2410 5063 2414 5063 2422 5064 2421 5064 2410 5064 2423 5065 2414 5065 2412 5065 2423 5066 2422 5066 2414 5066 2424 5067 2412 5067 2413 5067 2423 5068 2412 5068 2424 5068 2425 5069 2413 5069 2411 5069 2424 5070 2413 5070 2425 5070 2426 5071 2411 5071 2404 5071 2425 5072 2411 5072 2426 5072 2426 5073 2404 5073 2416 5073 2427 5074 2415 5074 2417 5074 2428 5075 2416 5075 2415 5075 2428 5076 2415 5076 2427 5076 2429 5077 2417 5077 2418 5077 2429 5078 2427 5078 2417 5078 2430 5079 2418 5079 2419 5079 2431 5080 2429 5080 2418 5080 2430 5081 2432 5081 2418 5081 2433 5082 2418 5082 2432 5082 2433 5083 2434 5083 2418 5083 2431 5084 2418 5084 2434 5084 2435 5085 2419 5085 2420 5085 2436 5086 2430 5086 2419 5086 2435 5087 2436 5087 2419 5087 2437 5088 2420 5088 2421 5088 2438 5089 2435 5089 2420 5089 2439 5090 2438 5090 2420 5090 2437 5091 2439 5091 2420 5091 2440 5092 2421 5092 2422 5092 2441 5093 2421 5093 2440 5093 2441 5094 2437 5094 2421 5094 2442 5095 2422 5095 2423 5095 2442 5096 2440 5096 2422 5096 2443 5097 2426 5097 2416 5097 2444 5098 2416 5098 2428 5098 2444 5099 2443 5099 2416 5099 2445 5100 2425 5100 2426 5100 2446 5101 2445 5101 2426 5101 2447 5102 2446 5102 2426 5102 2447 5103 2426 5103 2443 5103 2448 5104 2424 5104 2425 5104 2449 5105 2448 5105 2425 5105 2445 5106 2449 5106 2425 5106 2450 5107 2423 5107 2424 5107 2451 5108 2450 5108 2424 5108 2448 5109 2452 5109 2424 5109 2453 5110 2424 5110 2452 5110 2454 5111 2451 5111 2424 5111 2453 5112 2454 5112 2424 5112 2450 5113 2442 5113 2423 5113 2455 5114 2427 5114 2429 5114 2456 5115 2428 5115 2427 5115 2456 5116 2427 5116 2455 5116 2457 5117 2432 5117 2429 5117 2458 5118 2429 5118 2432 5118 2431 5119 2457 5119 2429 5119 2459 5120 2455 5120 2429 5120 2458 5121 2459 5121 2429 5121 2458 5122 2432 5122 2430 5122 2457 5123 2433 5123 2432 5123 2460 5124 2430 5124 2436 5124 2460 5125 2458 5125 2430 5125 2461 5126 2436 5126 2435 5126 2461 5127 2460 5127 2436 5127 2462 5128 2435 5128 2438 5128 2462 5129 2461 5129 2435 5129 2463 5130 2440 5130 2438 5130 2462 5131 2438 5131 2440 5131 2439 5132 2463 5132 2438 5132 2464 5133 2440 5133 2442 5133 2441 5134 2440 5134 2463 5134 2464 5135 2462 5135 2440 5135 2465 5136 2442 5136 2450 5136 2465 5137 2464 5137 2442 5137 2466 5138 2452 5138 2450 5138 2467 5139 2450 5139 2452 5139 2451 5140 2466 5140 2450 5140 2465 5141 2450 5141 2468 5141 2467 5142 2468 5142 2450 5142 2467 5143 2452 5143 2448 5143 2453 5144 2452 5144 2466 5144 2469 5145 2448 5145 2449 5145 2469 5146 2467 5146 2448 5146 2470 5147 2449 5147 2445 5147 2470 5148 2469 5148 2449 5148 2471 5149 2445 5149 2446 5149 2471 5150 2470 5150 2445 5150 2472 5151 2428 5151 2446 5151 2471 5152 2446 5152 2428 5152 2447 5153 2472 5153 2446 5153 2472 5154 2444 5154 2428 5154 2456 5155 2471 5155 2428 5155 2473 5156 2443 5156 2444 5156 2474 5157 2447 5157 2443 5157 2474 5158 2443 5158 2473 5158 2475 5159 2444 5159 2472 5159 2475 5160 2473 5160 2444 5160 2476 5161 2472 5161 2447 5161 2475 5162 2472 5162 2476 5162 2476 5163 2447 5163 2474 5163 2477 5164 2466 5164 2451 5164 2478 5165 2453 5165 2466 5165 2478 5166 2466 5166 2477 5166 2479 5167 2451 5167 2454 5167 2479 5168 2477 5168 2451 5168 2480 5169 2454 5169 2453 5169 2479 5170 2454 5170 2480 5170 2480 5171 2453 5171 2478 5171 2481 5172 2463 5172 2439 5172 2482 5173 2441 5173 2463 5173 2482 5174 2463 5174 2481 5174 2483 5175 2439 5175 2437 5175 2483 5176 2481 5176 2439 5176 2484 5177 2437 5177 2441 5177 2483 5178 2437 5178 2484 5178 2484 5179 2441 5179 2482 5179 2485 5180 2434 5180 2433 5180 2486 5181 2431 5181 2434 5181 2486 5182 2434 5182 2485 5182 2487 5183 2433 5183 2457 5183 2487 5184 2485 5184 2433 5184 2488 5185 2457 5185 2431 5185 2487 5186 2457 5186 2488 5186 2488 5187 2431 5187 2486 5187 2456 5188 2455 5188 2459 5188 2489 5189 2459 5189 2458 5189 2490 5190 2459 5190 2489 5190 2490 5191 2456 5191 2459 5191 2491 5192 2458 5192 2460 5192 2491 5193 2489 5193 2458 5193 2492 5194 2460 5194 2461 5194 2492 5195 2491 5195 2460 5195 2493 5196 2461 5196 2462 5196 2493 5197 2492 5197 2461 5197 2494 5198 2462 5198 2464 5198 2494 5199 2493 5199 2462 5199 2465 5200 2468 5200 2464 5200 2495 5201 2464 5201 2468 5201 2495 5202 2494 5202 2464 5202 2496 5203 2495 5203 2468 5203 2467 5204 2496 5204 2468 5204 2497 5205 2489 5205 2491 5205 2498 5206 2489 5206 2497 5206 2499 5207 2490 5207 2489 5207 2498 5208 2499 5208 2489 5208 2500 5209 2491 5209 2492 5209 2501 5210 2497 5210 2491 5210 2502 5211 2501 5211 2491 5211 2503 5212 2502 5212 2491 5212 2504 5213 2503 5213 2491 5213 2500 5214 2504 5214 2491 5214 2505 5215 2492 5215 2493 5215 2506 5216 2500 5216 2492 5216 2507 5217 2506 5217 2492 5217 2492 5218 2505 5218 2508 5218 2509 5219 2493 5219 2494 5219 2509 5220 2505 5220 2493 5220 2510 5221 2494 5221 2495 5221 2511 5222 2509 5222 2494 5222 2512 5223 2511 5223 2494 5223 2513 5224 2512 5224 2494 5224 2510 5225 2513 5225 2494 5225 2514 5226 2495 5226 2496 5226 2515 5227 2510 5227 2495 5227 2516 5228 2515 5228 2495 5228 2495 5229 2514 5229 2517 5229 2518 5230 2514 5230 2496 5230 2519 5231 2518 5231 2496 5231 2520 5232 2519 5232 2496 5232 2520 5233 2496 5233 2467 5233 2521 5234 2497 5234 2501 5234 2521 5235 2498 5235 2497 5235 2521 5236 2501 5236 2502 5236 2522 5237 2502 5237 2503 5237 2523 5238 2502 5238 2522 5238 2521 5239 2502 5239 2523 5239 2522 5240 2503 5240 2504 5240 2524 5241 2504 5241 2500 5241 2524 5242 2525 5242 2526 5242 2526 5243 2504 5243 2524 5243 2522 5244 2504 5244 2526 5244 2524 5245 2500 5245 2506 5245 2527 5246 2506 5246 2507 5246 2527 5247 2524 5247 2506 5247 2508 5248 2507 5248 2492 5248 2528 5249 2507 5249 2508 5249 2529 5250 2527 5250 2507 5250 2528 5251 2529 5251 2507 5251 2528 5252 2508 5252 2505 5252 2528 5253 2505 5253 2509 5253 2528 5254 2509 5254 2511 5254 2530 5255 2511 5255 2512 5255 2531 5256 2511 5256 2530 5256 2528 5257 2511 5257 2531 5257 2530 5258 2512 5258 2513 5258 2532 5259 2513 5259 2510 5259 2532 5260 2533 5260 2534 5260 2534 5261 2513 5261 2532 5261 2530 5262 2513 5262 2534 5262 2532 5263 2510 5263 2515 5263 2535 5264 2515 5264 2516 5264 2535 5265 2532 5265 2515 5265 2517 5266 2516 5266 2495 5266 2536 5267 2516 5267 2517 5267 2537 5268 2535 5268 2516 5268 2536 5269 2537 5269 2516 5269 2536 5270 2517 5270 2514 5270 2536 5271 2514 5271 2518 5271 2536 5272 2518 5272 2519 5272 2538 5273 2519 5273 2520 5273 2536 5274 2519 5274 2538 5274 2539 5275 2540 5275 2525 5275 2522 5276 2525 5276 2540 5276 2524 5277 2539 5277 2525 5277 2522 5278 2526 5278 2525 5278 2539 5279 2541 5279 2540 5279 2522 5280 2540 5280 2541 5280 2542 5281 2541 5281 2539 5281 2543 5282 2541 5282 2542 5282 2522 5283 2541 5283 2543 5283 2237 5284 2539 5284 2524 5284 2234 5285 2539 5285 2237 5285 2234 5286 2542 5286 2539 5286 2231 5287 2524 5287 2527 5287 2231 5288 2237 5288 2524 5288 2544 5289 2545 5289 2527 5289 2274 5290 2527 5290 2545 5290 2546 5291 2544 5291 2527 5291 2529 5292 2546 5292 2527 5292 2274 5293 2231 5293 2527 5293 2533 5294 2532 5294 2545 5294 2271 5295 2545 5295 2532 5295 2544 5296 2533 5296 2545 5296 2271 5297 2274 5297 2545 5297 2269 5298 2532 5298 2535 5298 2269 5299 2271 5299 2532 5299 2547 5300 2548 5300 2535 5300 2261 5301 2535 5301 2548 5301 2549 5302 2547 5302 2535 5302 2550 5303 2549 5303 2535 5303 2537 5304 2550 5304 2535 5304 2261 5305 2269 5305 2535 5305 2551 5306 2548 5306 2547 5306 2264 5307 2261 5307 2548 5307 2552 5308 2264 5308 2548 5308 2551 5309 2553 5309 2548 5309 2552 5310 2548 5310 2553 5310 2554 5311 2547 5311 2549 5311 2554 5312 2551 5312 2547 5312 2554 5313 2549 5313 2550 5313 2536 5314 2550 5314 2537 5314 2555 5315 2554 5315 2550 5315 2555 5316 2550 5316 2536 5316 2530 5317 2534 5317 2533 5317 2530 5318 2533 5318 2544 5318 2530 5319 2544 5319 2546 5319 2528 5320 2546 5320 2529 5320 2556 5321 2530 5321 2546 5321 2556 5322 2546 5322 2528 5322 2228 5323 2237 5323 2231 5323 2253 5324 2258 5324 2264 5324 2253 5325 2264 5325 2552 5325 2372 5326 2353 5326 2355 5326 2387 5327 2355 5327 2356 5327 2387 5328 2372 5328 2355 5328 2385 5329 2356 5329 2346 5329 2385 5330 2387 5330 2356 5330 2358 5331 2385 5331 2346 5331 2520 5332 2467 5332 2469 5332 2557 5333 2469 5333 2470 5333 2557 5334 2520 5334 2469 5334 2558 5335 2470 5335 2471 5335 2558 5336 2557 5336 2470 5336 2559 5337 2471 5337 2456 5337 2559 5338 2558 5338 2471 5338 2490 5339 2559 5339 2456 5339 2560 5340 2520 5340 2557 5340 2561 5341 2538 5341 2520 5341 2562 5342 2561 5342 2520 5342 2563 5343 2562 5343 2520 5343 2560 5344 2563 5344 2520 5344 2564 5345 2557 5345 2558 5345 2565 5346 2560 5346 2557 5346 2566 5347 2565 5347 2557 5347 2557 5348 2564 5348 2567 5348 2568 5349 2558 5349 2559 5349 2568 5350 2564 5350 2558 5350 2569 5351 2559 5351 2490 5351 2570 5352 2568 5352 2559 5352 2571 5353 2570 5353 2559 5353 2572 5354 2571 5354 2559 5354 2569 5355 2572 5355 2559 5355 2490 5356 2499 5356 2573 5356 2574 5357 2490 5357 2575 5357 2574 5358 2569 5358 2490 5358 2573 5359 2575 5359 2490 5359 2521 5360 2575 5360 2573 5360 2542 5361 2574 5361 2575 5361 2576 5362 2542 5362 2575 5362 2521 5363 2576 5363 2575 5363 2521 5364 2573 5364 2499 5364 2521 5365 2499 5365 2498 5365 2536 5366 2538 5366 2561 5366 2554 5367 2561 5367 2562 5367 2577 5368 2561 5368 2554 5368 2536 5369 2561 5369 2577 5369 2554 5370 2562 5370 2563 5370 2552 5371 2563 5371 2560 5371 2578 5372 2563 5372 2552 5372 2554 5373 2563 5373 2578 5373 2552 5374 2553 5374 2578 5374 2552 5375 2560 5375 2565 5375 2579 5376 2565 5376 2566 5376 2579 5377 2552 5377 2565 5377 2567 5378 2566 5378 2557 5378 2580 5379 2566 5379 2567 5379 2579 5380 2566 5380 2581 5380 2580 5381 2581 5381 2566 5381 2580 5382 2567 5382 2564 5382 2580 5383 2564 5383 2568 5383 2580 5384 2568 5384 2570 5384 2582 5385 2570 5385 2571 5385 2583 5386 2570 5386 2582 5386 2580 5387 2570 5387 2583 5387 2582 5388 2571 5388 2572 5388 2584 5389 2572 5389 2569 5389 2585 5390 2572 5390 2584 5390 2582 5391 2572 5391 2585 5391 2584 5392 2586 5392 2585 5392 2584 5393 2569 5393 2574 5393 2542 5394 2584 5394 2574 5394 2582 5395 2585 5395 2586 5395 2587 5396 2588 5396 2586 5396 2582 5397 2586 5397 2588 5397 2584 5398 2587 5398 2586 5398 2579 5399 2589 5399 2588 5399 2582 5400 2588 5400 2589 5400 2587 5401 2579 5401 2588 5401 2579 5402 2581 5402 2589 5402 2580 5403 2589 5403 2581 5403 2582 5404 2589 5404 2590 5404 2580 5405 2590 5405 2589 5405 2554 5406 2578 5406 2553 5406 2554 5407 2553 5407 2551 5407 2253 5408 2552 5408 2579 5408 2247 5409 2579 5409 2587 5409 2247 5410 2253 5410 2579 5410 2244 5411 2587 5411 2584 5411 2244 5412 2247 5412 2587 5412 2242 5413 2584 5413 2542 5413 2242 5414 2244 5414 2584 5414 2591 5415 2543 5415 2542 5415 2576 5416 2591 5416 2542 5416 2234 5417 2242 5417 2542 5417 2522 5418 2543 5418 2591 5418 2521 5419 2591 5419 2576 5419 2522 5420 2591 5420 2592 5420 2521 5421 2592 5421 2591 5421 2583 5422 2582 5422 2590 5422 2580 5423 2583 5423 2590 5423 2556 5424 2531 5424 2530 5424 2556 5425 2528 5425 2531 5425 2555 5426 2577 5426 2554 5426 2555 5427 2536 5427 2577 5427 2523 5428 2522 5428 2592 5428 2521 5429 2523 5429 2592 5429 2298 5430 2296 5430 2295 5430 2297 5431 2298 5431 2295 5431 2302 5432 2300 5432 2299 5432 2301 5433 2302 5433 2299 5433 2306 5434 2304 5434 2303 5434 2305 5435 2306 5435 2303 5435 2310 5436 2308 5436 2307 5436 2309 5437 2310 5437 2307 5437 2476 5438 2474 5438 2473 5438 2475 5439 2476 5439 2473 5439 2480 5440 2478 5440 2477 5440 2479 5441 2480 5441 2477 5441 2484 5442 2482 5442 2481 5442 2483 5443 2484 5443 2481 5443 2488 5444 2486 5444 2485 5444 2487 5445 2488 5445 2485 5445 2593 5446 2594 5446 2595 5446 2596 5447 2595 5447 2594 5447 2596 5448 2593 5448 2595 5448 2593 5449 2597 5449 2594 5449 2598 5450 2594 5450 2597 5450 2599 5451 2596 5451 2594 5451 2600 5452 2599 5452 2594 5452 2601 5453 2600 5453 2594 5453 2602 5454 2601 5454 2594 5454 2603 5455 2602 5455 2594 5455 2604 5456 2603 5456 2594 5456 2598 5457 2604 5457 2594 5457 2605 5458 2597 5458 2606 5458 2598 5459 2597 5459 2605 5459 2607 5460 2597 5460 2593 5460 2606 5461 2608 5461 2605 5461 2606 5462 2597 5462 2609 5462 2609 5463 2610 5463 2606 5463 2611 5464 2609 5464 2597 5464 2612 5465 2611 5465 2597 5465 2613 5466 2612 5466 2597 5466 2614 5467 2613 5467 2597 5467 2615 5468 2614 5468 2597 5468 2616 5469 2615 5469 2597 5469 2617 5470 2616 5470 2597 5470 2618 5471 2617 5471 2597 5471 2619 5472 2618 5472 2597 5472 2620 5473 2621 5473 2597 5473 2619 5474 2597 5474 2621 5474 2622 5475 2620 5475 2597 5475 2623 5476 2622 5476 2597 5476 2624 5477 2623 5477 2597 5477 2625 5478 2624 5478 2597 5478 2626 5479 2625 5479 2597 5479 2627 5480 2626 5480 2597 5480 2628 5481 2627 5481 2597 5481 2607 5482 2628 5482 2597 5482 2629 5483 2630 5483 2605 5483 2631 5484 2605 5484 2630 5484 2632 5485 2605 5485 2608 5485 2629 5486 2605 5486 2632 5486 2631 5487 2598 5487 2605 5487 2633 5488 2634 5488 2630 5488 2635 5489 2630 5489 2634 5489 2636 5490 2633 5490 2630 5490 2637 5491 2636 5491 2630 5491 2638 5492 2637 5492 2630 5492 2629 5493 2638 5493 2630 5493 2635 5494 2631 5494 2630 5494 2639 5495 2640 5495 2634 5495 2641 5496 2634 5496 2640 5496 2642 5497 2639 5497 2634 5497 2643 5498 2642 5498 2634 5498 2644 5499 2643 5499 2634 5499 2645 5500 2644 5500 2634 5500 2646 5501 2634 5501 2633 5501 2647 5502 2634 5502 2646 5502 2647 5503 2645 5503 2634 5503 2641 5504 2635 5504 2634 5504 2639 5505 2648 5505 2640 5505 2649 5506 2640 5506 2648 5506 2649 5507 2641 5507 2640 5507 2650 5508 2651 5508 2648 5508 2652 5509 2648 5509 2651 5509 2653 5510 2648 5510 2639 5510 2654 5511 2644 5511 2648 5511 2645 5512 2648 5512 2644 5512 2653 5513 2654 5513 2648 5513 2655 5514 2650 5514 2648 5514 2656 5515 2655 5515 2648 5515 2645 5516 2656 5516 2648 5516 2652 5517 2649 5517 2648 5517 2657 5518 2658 5518 2651 5518 2659 5519 2651 5519 2658 5519 2660 5520 2651 5520 2650 5520 2660 5521 2661 5521 2651 5521 2657 5522 2651 5522 2661 5522 2659 5523 2652 5523 2651 5523 2662 5524 2663 5524 2658 5524 2664 5525 2658 5525 2663 5525 2665 5526 2662 5526 2658 5526 2666 5527 2665 5527 2658 5527 2667 5528 2666 5528 2658 5528 2657 5529 2667 5529 2658 5529 2664 5530 2659 5530 2658 5530 2668 5531 2593 5531 2663 5531 2669 5532 2663 5532 2593 5532 2670 5533 2671 5533 2663 5533 2672 5534 2663 5534 2671 5534 2673 5535 2670 5535 2663 5535 2674 5536 2673 5536 2663 5536 2675 5537 2663 5537 2662 5537 2674 5538 2663 5538 2675 5538 2676 5539 2663 5539 2677 5539 2678 5540 2677 5540 2663 5540 2676 5541 2679 5541 2663 5541 2680 5542 2663 5542 2679 5542 2680 5543 2681 5543 2663 5543 2682 5544 2663 5544 2681 5544 2683 5545 2663 5545 2682 5545 2668 5546 2663 5546 2683 5546 2684 5547 2678 5547 2663 5547 2672 5548 2684 5548 2663 5548 2669 5549 2664 5549 2663 5549 2685 5550 2593 5550 2668 5550 2686 5551 2607 5551 2593 5551 2685 5552 2686 5552 2593 5552 2687 5553 2593 5553 2596 5553 2688 5554 2669 5554 2593 5554 2689 5555 2690 5555 2593 5555 2688 5556 2593 5556 2690 5556 2691 5557 2689 5557 2593 5557 2687 5558 2691 5558 2593 5558 2692 5559 2639 5559 2642 5559 2693 5560 2653 5560 2639 5560 2693 5561 2639 5561 2692 5561 2694 5562 2642 5562 2643 5562 2694 5563 2692 5563 2642 5563 2695 5564 2643 5564 2644 5564 2695 5565 2694 5565 2643 5565 2696 5566 2644 5566 2654 5566 2696 5567 2695 5567 2644 5567 2697 5568 2654 5568 2653 5568 2697 5569 2696 5569 2654 5569 2693 5570 2697 5570 2653 5570 2698 5571 2633 5571 2636 5571 2699 5572 2646 5572 2633 5572 2699 5573 2633 5573 2698 5573 2700 5574 2636 5574 2637 5574 2700 5575 2698 5575 2636 5575 2701 5576 2637 5576 2638 5576 2701 5577 2700 5577 2637 5577 2647 5578 2702 5578 2638 5578 2703 5579 2638 5579 2702 5579 2629 5580 2647 5580 2638 5580 2703 5581 2701 5581 2638 5581 2647 5582 2646 5582 2702 5582 2704 5583 2702 5583 2646 5583 2704 5584 2703 5584 2702 5584 2699 5585 2704 5585 2646 5585 2606 5586 2705 5586 2608 5586 2706 5587 2608 5587 2705 5587 2707 5588 2632 5588 2608 5588 2707 5589 2608 5589 2706 5589 2606 5590 2708 5590 2705 5590 2709 5591 2705 5591 2708 5591 2709 5592 2706 5592 2705 5592 2710 5593 2711 5593 2708 5593 2712 5594 2708 5594 2711 5594 2713 5595 2708 5595 2606 5595 2714 5596 2708 5596 2713 5596 2714 5597 2710 5597 2708 5597 2712 5598 2709 5598 2708 5598 2629 5599 2715 5599 2711 5599 2716 5600 2711 5600 2715 5600 2710 5601 2629 5601 2711 5601 2716 5602 2712 5602 2711 5602 2629 5603 2632 5603 2715 5603 2717 5604 2715 5604 2632 5604 2717 5605 2716 5605 2715 5605 2707 5606 2717 5606 2632 5606 2718 5607 2719 5607 2720 5607 2721 5608 2720 5608 2719 5608 2722 5609 2720 5609 2723 5609 2724 5610 2723 5610 2720 5610 2722 5611 2718 5611 2720 5611 2724 5612 2720 5612 2721 5612 2725 5613 2726 5613 2719 5613 2727 5614 2719 5614 2726 5614 2725 5615 2719 5615 2718 5615 2727 5616 2721 5616 2719 5616 2725 5617 2728 5617 2726 5617 2729 5618 2726 5618 2728 5618 2729 5619 2727 5619 2726 5619 2714 5620 2730 5620 2728 5620 2731 5621 2728 5621 2730 5621 2725 5622 2714 5622 2728 5622 2731 5623 2729 5623 2728 5623 2732 5624 2723 5624 2730 5624 2733 5625 2730 5625 2723 5625 2714 5626 2732 5626 2730 5626 2733 5627 2731 5627 2730 5627 2732 5628 2722 5628 2723 5628 2724 5629 2733 5629 2723 5629 2734 5630 2735 5630 2736 5630 2737 5631 2736 5631 2735 5631 2718 5632 2736 5632 2738 5632 2739 5633 2738 5633 2736 5633 2740 5634 2734 5634 2736 5634 2718 5635 2740 5635 2736 5635 2739 5636 2736 5636 2737 5636 2734 5637 2741 5637 2735 5637 2742 5638 2735 5638 2741 5638 2742 5639 2737 5639 2735 5639 2734 5640 2743 5640 2741 5640 2744 5641 2741 5641 2743 5641 2744 5642 2742 5642 2741 5642 2718 5643 2745 5643 2743 5643 2746 5644 2743 5644 2745 5644 2747 5645 2743 5645 2734 5645 2747 5646 2718 5646 2743 5646 2746 5647 2744 5647 2743 5647 2718 5648 2738 5648 2745 5648 2748 5649 2745 5649 2738 5649 2748 5650 2746 5650 2745 5650 2739 5651 2748 5651 2738 5651 2749 5652 2671 5652 2670 5652 2672 5653 2671 5653 2750 5653 2751 5654 2750 5654 2671 5654 2751 5655 2671 5655 2749 5655 2752 5656 2670 5656 2673 5656 2752 5657 2749 5657 2670 5657 2674 5658 2753 5658 2673 5658 2754 5659 2673 5659 2753 5659 2754 5660 2752 5660 2673 5660 2755 5661 2756 5661 2753 5661 2757 5662 2753 5662 2756 5662 2674 5663 2755 5663 2753 5663 2757 5664 2754 5664 2753 5664 2755 5665 2750 5665 2756 5665 2758 5666 2756 5666 2750 5666 2758 5667 2757 5667 2756 5667 2755 5668 2672 5668 2750 5668 2751 5669 2758 5669 2750 5669 2759 5670 2662 5670 2665 5670 2760 5671 2675 5671 2662 5671 2760 5672 2662 5672 2759 5672 2761 5673 2665 5673 2666 5673 2761 5674 2759 5674 2665 5674 2667 5675 2762 5675 2666 5675 2763 5676 2666 5676 2762 5676 2763 5677 2761 5677 2666 5677 2674 5678 2764 5678 2762 5678 2765 5679 2762 5679 2764 5679 2667 5680 2674 5680 2762 5680 2765 5681 2763 5681 2762 5681 2674 5682 2675 5682 2764 5682 2766 5683 2764 5683 2675 5683 2766 5684 2765 5684 2764 5684 2760 5685 2766 5685 2675 5685 2767 5686 2650 5686 2655 5686 2768 5687 2660 5687 2650 5687 2768 5688 2650 5688 2767 5688 2656 5689 2769 5689 2655 5689 2770 5690 2655 5690 2769 5690 2770 5691 2767 5691 2655 5691 2656 5692 2771 5692 2769 5692 2772 5693 2769 5693 2771 5693 2772 5694 2770 5694 2769 5694 2657 5695 2661 5695 2771 5695 2773 5696 2771 5696 2661 5696 2656 5697 2657 5697 2771 5697 2773 5698 2772 5698 2771 5698 2774 5699 2661 5699 2660 5699 2774 5700 2773 5700 2661 5700 2768 5701 2774 5701 2660 5701 2775 5702 2776 5702 2777 5702 2778 5703 2777 5703 2776 5703 2779 5704 2777 5704 2780 5704 2781 5705 2780 5705 2777 5705 2782 5706 2775 5706 2777 5706 2783 5707 2782 5707 2777 5707 2779 5708 2783 5708 2777 5708 2781 5709 2777 5709 2778 5709 2668 5710 2784 5710 2776 5710 2785 5711 2776 5711 2784 5711 2786 5712 2787 5712 2776 5712 2668 5713 2776 5713 2787 5713 2788 5714 2786 5714 2776 5714 2775 5715 2788 5715 2776 5715 2785 5716 2778 5716 2776 5716 2668 5717 2789 5717 2784 5717 2790 5718 2784 5718 2789 5718 2785 5719 2784 5719 2790 5719 2791 5720 2792 5720 2789 5720 2793 5721 2789 5721 2792 5721 2794 5722 2789 5722 2668 5722 2795 5723 2789 5723 2794 5723 2795 5724 2791 5724 2789 5724 2790 5725 2789 5725 2793 5725 2779 5726 2780 5726 2792 5726 2796 5727 2792 5727 2780 5727 2779 5728 2792 5728 2791 5728 2793 5729 2792 5729 2796 5729 2796 5730 2780 5730 2781 5730 2797 5731 2798 5731 2799 5731 2800 5732 2799 5732 2798 5732 2801 5733 2799 5733 2802 5733 2803 5734 2802 5734 2799 5734 2804 5735 2797 5735 2799 5735 2805 5736 2804 5736 2799 5736 2806 5737 2805 5737 2799 5737 2801 5738 2806 5738 2799 5738 2803 5739 2799 5739 2800 5739 2668 5740 2787 5740 2798 5740 2807 5741 2798 5741 2787 5741 2685 5742 2668 5742 2798 5742 2808 5743 2685 5743 2798 5743 2809 5744 2808 5744 2798 5744 2810 5745 2809 5745 2798 5745 2811 5746 2810 5746 2798 5746 2797 5747 2811 5747 2798 5747 2807 5748 2800 5748 2798 5748 2812 5749 2787 5749 2786 5749 2807 5750 2787 5750 2812 5750 2813 5751 2814 5751 2786 5751 2815 5752 2786 5752 2814 5752 2788 5753 2816 5753 2786 5753 2813 5754 2786 5754 2816 5754 2812 5755 2786 5755 2815 5755 2801 5756 2802 5756 2814 5756 2817 5757 2814 5757 2802 5757 2801 5758 2814 5758 2813 5758 2815 5759 2814 5759 2817 5759 2817 5760 2802 5760 2803 5760 2678 5761 2818 5761 2677 5761 2819 5762 2677 5762 2818 5762 2820 5763 2676 5763 2677 5763 2820 5764 2677 5764 2819 5764 2821 5765 2822 5765 2818 5765 2823 5766 2818 5766 2822 5766 2678 5767 2821 5767 2818 5767 2823 5768 2819 5768 2818 5768 2821 5769 2824 5769 2822 5769 2825 5770 2822 5770 2824 5770 2823 5771 2822 5771 2825 5771 2821 5772 2679 5772 2824 5772 2826 5773 2824 5773 2679 5773 2825 5774 2824 5774 2826 5774 2827 5775 2679 5775 2676 5775 2680 5776 2679 5776 2828 5776 2829 5777 2828 5777 2679 5777 2821 5778 2830 5778 2679 5778 2831 5779 2679 5779 2830 5779 2832 5780 2829 5780 2679 5780 2831 5781 2832 5781 2679 5781 2826 5782 2679 5782 2827 5782 2827 5783 2676 5783 2820 5783 2829 5784 2833 5784 2828 5784 2834 5785 2828 5785 2833 5785 2835 5786 2680 5786 2828 5786 2835 5787 2828 5787 2834 5787 2836 5788 2837 5788 2833 5788 2838 5789 2833 5789 2837 5789 2829 5790 2836 5790 2833 5790 2838 5791 2834 5791 2833 5791 2836 5792 2839 5792 2837 5792 2840 5793 2837 5793 2839 5793 2838 5794 2837 5794 2840 5794 2836 5795 2681 5795 2839 5795 2841 5796 2839 5796 2681 5796 2840 5797 2839 5797 2841 5797 2842 5798 2681 5798 2680 5798 2843 5799 2681 5799 2844 5799 2845 5800 2844 5800 2681 5800 2843 5801 2682 5801 2681 5801 2846 5802 2845 5802 2681 5802 2847 5803 2846 5803 2681 5803 2848 5804 2847 5804 2681 5804 2836 5805 2848 5805 2681 5805 2841 5806 2681 5806 2842 5806 2842 5807 2680 5807 2835 5807 2845 5808 2849 5808 2844 5808 2850 5809 2844 5809 2849 5809 2851 5810 2843 5810 2844 5810 2851 5811 2844 5811 2850 5811 2852 5812 2853 5812 2849 5812 2854 5813 2849 5813 2853 5813 2845 5814 2852 5814 2849 5814 2854 5815 2850 5815 2849 5815 2852 5816 2855 5816 2853 5816 2856 5817 2853 5817 2855 5817 2854 5818 2853 5818 2856 5818 2852 5819 2682 5819 2855 5819 2857 5820 2855 5820 2682 5820 2856 5821 2855 5821 2857 5821 2858 5822 2682 5822 2843 5822 2859 5823 2682 5823 2860 5823 2861 5824 2860 5824 2682 5824 2859 5825 2683 5825 2682 5825 2862 5826 2861 5826 2682 5826 2863 5827 2862 5827 2682 5827 2864 5828 2863 5828 2682 5828 2852 5829 2864 5829 2682 5829 2857 5830 2682 5830 2858 5830 2858 5831 2843 5831 2851 5831 2861 5832 2865 5832 2860 5832 2866 5833 2860 5833 2865 5833 2867 5834 2859 5834 2860 5834 2867 5835 2860 5835 2866 5835 2868 5836 2869 5836 2865 5836 2870 5837 2865 5837 2869 5837 2861 5838 2868 5838 2865 5838 2870 5839 2866 5839 2865 5839 2868 5840 2871 5840 2869 5840 2872 5841 2869 5841 2871 5841 2870 5842 2869 5842 2872 5842 2868 5843 2683 5843 2871 5843 2873 5844 2871 5844 2683 5844 2872 5845 2871 5845 2873 5845 2874 5846 2683 5846 2859 5846 2875 5847 2683 5847 2876 5847 2877 5848 2876 5848 2683 5848 2875 5849 2668 5849 2683 5849 2868 5850 2878 5850 2683 5850 2879 5851 2683 5851 2878 5851 2880 5852 2877 5852 2683 5852 2879 5853 2880 5853 2683 5853 2873 5854 2683 5854 2874 5854 2874 5855 2859 5855 2867 5855 2877 5856 2881 5856 2876 5856 2882 5857 2876 5857 2881 5857 2883 5858 2875 5858 2876 5858 2883 5859 2876 5859 2882 5859 2884 5860 2885 5860 2881 5860 2886 5861 2881 5861 2885 5861 2877 5862 2884 5862 2881 5862 2886 5863 2882 5863 2881 5863 2884 5864 2887 5864 2885 5864 2888 5865 2885 5865 2887 5865 2886 5866 2885 5866 2888 5866 2884 5867 2668 5867 2887 5867 2889 5868 2887 5868 2668 5868 2888 5869 2887 5869 2889 5869 2890 5870 2668 5870 2875 5870 2891 5871 2794 5871 2668 5871 2884 5872 2891 5872 2668 5872 2889 5873 2668 5873 2890 5873 2890 5874 2875 5874 2883 5874 2892 5875 2606 5875 2893 5875 2894 5876 2893 5876 2606 5876 2892 5877 2893 5877 2895 5877 2896 5878 2895 5878 2893 5878 2896 5879 2893 5879 2894 5879 2897 5880 2606 5880 2610 5880 2713 5881 2606 5881 2892 5881 2897 5882 2894 5882 2606 5882 2609 5883 2898 5883 2610 5883 2899 5884 2610 5884 2898 5884 2897 5885 2610 5885 2899 5885 2900 5886 2901 5886 2898 5886 2902 5887 2898 5887 2901 5887 2900 5888 2898 5888 2609 5888 2899 5889 2898 5889 2902 5889 2892 5890 2895 5890 2901 5890 2903 5891 2901 5891 2895 5891 2900 5892 2892 5892 2901 5892 2902 5893 2901 5893 2903 5893 2903 5894 2895 5894 2896 5894 2904 5895 2609 5895 2905 5895 2906 5896 2905 5896 2609 5896 2904 5897 2905 5897 2907 5897 2908 5898 2907 5898 2905 5898 2908 5899 2905 5899 2906 5899 2909 5900 2609 5900 2611 5900 2910 5901 2900 5901 2609 5901 2911 5902 2910 5902 2609 5902 2912 5903 2911 5903 2609 5903 2904 5904 2912 5904 2609 5904 2909 5905 2906 5905 2609 5905 2612 5906 2913 5906 2611 5906 2914 5907 2611 5907 2913 5907 2909 5908 2611 5908 2914 5908 2915 5909 2916 5909 2913 5909 2917 5910 2913 5910 2916 5910 2915 5911 2913 5911 2612 5911 2914 5912 2913 5912 2917 5912 2904 5913 2907 5913 2916 5913 2918 5914 2916 5914 2907 5914 2915 5915 2904 5915 2916 5915 2917 5916 2916 5916 2918 5916 2918 5917 2907 5917 2908 5917 2919 5918 2612 5918 2920 5918 2921 5919 2920 5919 2612 5919 2919 5920 2920 5920 2922 5920 2923 5921 2922 5921 2920 5921 2923 5922 2920 5922 2921 5922 2924 5923 2612 5923 2613 5923 2919 5924 2925 5924 2612 5924 2926 5925 2612 5925 2925 5925 2927 5926 2915 5926 2612 5926 2926 5927 2927 5927 2612 5927 2924 5928 2921 5928 2612 5928 2614 5929 2928 5929 2613 5929 2929 5930 2613 5930 2928 5930 2924 5931 2613 5931 2929 5931 2930 5932 2931 5932 2928 5932 2932 5933 2928 5933 2931 5933 2930 5934 2928 5934 2614 5934 2929 5935 2928 5935 2932 5935 2919 5936 2922 5936 2931 5936 2933 5937 2931 5937 2922 5937 2930 5938 2919 5938 2931 5938 2932 5939 2931 5939 2933 5939 2933 5940 2922 5940 2923 5940 2934 5941 2614 5941 2935 5941 2936 5942 2935 5942 2614 5942 2934 5943 2935 5943 2937 5943 2938 5944 2937 5944 2935 5944 2938 5945 2935 5945 2936 5945 2939 5946 2614 5946 2615 5946 2934 5947 2940 5947 2614 5947 2941 5948 2614 5948 2940 5948 2942 5949 2930 5949 2614 5949 2941 5950 2942 5950 2614 5950 2939 5951 2936 5951 2614 5951 2616 5952 2943 5952 2615 5952 2944 5953 2615 5953 2943 5953 2939 5954 2615 5954 2944 5954 2945 5955 2946 5955 2943 5955 2947 5956 2943 5956 2946 5956 2945 5957 2943 5957 2616 5957 2944 5958 2943 5958 2947 5958 2934 5959 2937 5959 2946 5959 2948 5960 2946 5960 2937 5960 2945 5961 2934 5961 2946 5961 2947 5962 2946 5962 2948 5962 2948 5963 2937 5963 2938 5963 2949 5964 2616 5964 2950 5964 2951 5965 2950 5965 2616 5965 2949 5966 2950 5966 2952 5966 2953 5967 2952 5967 2950 5967 2953 5968 2950 5968 2951 5968 2954 5969 2616 5969 2617 5969 2955 5970 2945 5970 2616 5970 2956 5971 2955 5971 2616 5971 2957 5972 2956 5972 2616 5972 2949 5973 2957 5973 2616 5973 2954 5974 2951 5974 2616 5974 2958 5975 2617 5975 2618 5975 2954 5976 2617 5976 2958 5976 2619 5977 2959 5977 2618 5977 2960 5978 2618 5978 2959 5978 2958 5979 2618 5979 2960 5979 2949 5980 2952 5980 2959 5980 2961 5981 2959 5981 2952 5981 2619 5982 2949 5982 2959 5982 2960 5983 2959 5983 2961 5983 2961 5984 2952 5984 2953 5984 2891 5985 2962 5985 2794 5985 2963 5986 2794 5986 2962 5986 2964 5987 2795 5987 2794 5987 2964 5988 2794 5988 2963 5988 2891 5989 2965 5989 2962 5989 2966 5990 2962 5990 2965 5990 2963 5991 2962 5991 2966 5991 2967 5992 2968 5992 2965 5992 2969 5993 2965 5993 2968 5993 2891 5994 2967 5994 2965 5994 2969 5995 2966 5995 2965 5995 2967 5996 2970 5996 2968 5996 2971 5997 2968 5997 2970 5997 2969 5998 2968 5998 2971 5998 2972 5999 2973 5999 2970 5999 2974 6000 2970 6000 2973 6000 2967 6001 2972 6001 2970 6001 2971 6002 2970 6002 2974 6002 2972 6003 2621 6003 2973 6003 2975 6004 2973 6004 2621 6004 2974 6005 2973 6005 2975 6005 2976 6006 2621 6006 2620 6006 2977 6007 2619 6007 2621 6007 2972 6008 2977 6008 2621 6008 2975 6009 2621 6009 2976 6009 2622 6010 2978 6010 2620 6010 2979 6011 2620 6011 2978 6011 2976 6012 2620 6012 2979 6012 2622 6013 2980 6013 2978 6013 2981 6014 2978 6014 2980 6014 2979 6015 2978 6015 2981 6015 2982 6016 2791 6016 2980 6016 2983 6017 2980 6017 2791 6017 2984 6018 2982 6018 2980 6018 2622 6019 2984 6019 2980 6019 2981 6020 2980 6020 2983 6020 2985 6021 2791 6021 2795 6021 2779 6022 2791 6022 2982 6022 2983 6023 2791 6023 2985 6023 2985 6024 2795 6024 2964 6024 2986 6025 2892 6025 2900 6025 2987 6026 2713 6026 2892 6026 2987 6027 2892 6027 2986 6027 2988 6028 2900 6028 2910 6028 2986 6029 2900 6029 2988 6029 2989 6030 2910 6030 2911 6030 2989 6031 2988 6031 2910 6031 2990 6032 2991 6032 2911 6032 2992 6033 2911 6033 2991 6033 2912 6034 2990 6034 2911 6034 2989 6035 2911 6035 2992 6035 2831 6036 2830 6036 2991 6036 2993 6037 2991 6037 2830 6037 2990 6038 2831 6038 2991 6038 2992 6039 2991 6039 2993 6039 2994 6040 2830 6040 2821 6040 2993 6041 2830 6041 2994 6041 2995 6042 2821 6042 2678 6042 2994 6043 2821 6043 2995 6043 2996 6044 2678 6044 2684 6044 2995 6045 2678 6045 2996 6045 2997 6046 2684 6046 2672 6046 2996 6047 2684 6047 2997 6047 2747 6048 2734 6048 2672 6048 2998 6049 2672 6049 2734 6049 2755 6050 2747 6050 2672 6050 2997 6051 2672 6051 2998 6051 2999 6052 2734 6052 2740 6052 2998 6053 2734 6053 2999 6053 3000 6054 2740 6054 2718 6054 2999 6055 2740 6055 3000 6055 3001 6056 2718 6056 2722 6056 2725 6057 2718 6057 2747 6057 3000 6058 2718 6058 3001 6058 3002 6059 2722 6059 2732 6059 3001 6060 2722 6060 3002 6060 2714 6061 2713 6061 2732 6061 3003 6062 2732 6062 2713 6062 3002 6063 2732 6063 3003 6063 3003 6064 2713 6064 2987 6064 3004 6065 2982 6065 2984 6065 3005 6066 2779 6066 2982 6066 3005 6067 2982 6067 3004 6067 3006 6068 2984 6068 2622 6068 3004 6069 2984 6069 3006 6069 3007 6070 2622 6070 2623 6070 3006 6071 2622 6071 3007 6071 3008 6072 2623 6072 2624 6072 3008 6073 3007 6073 2623 6073 2625 6074 3009 6074 2624 6074 3010 6075 2624 6075 3009 6075 3008 6076 2624 6076 3010 6076 2813 6077 2816 6077 3009 6077 3011 6078 3009 6078 2816 6078 3012 6079 2813 6079 3009 6079 2625 6080 3012 6080 3009 6080 3010 6081 3009 6081 3011 6081 3013 6082 2816 6082 2788 6082 3011 6083 2816 6083 3013 6083 3014 6084 2788 6084 2775 6084 3013 6085 2788 6085 3014 6085 3015 6086 2775 6086 2782 6086 3014 6087 2775 6087 3015 6087 3016 6088 2782 6088 2783 6088 3015 6089 2782 6089 3016 6089 3017 6090 2783 6090 2779 6090 3016 6091 2783 6091 3017 6091 3017 6092 2779 6092 3005 6092 3018 6093 2813 6093 3012 6093 3019 6094 2801 6094 2813 6094 3019 6095 2813 6095 3018 6095 3020 6096 3012 6096 2625 6096 3020 6097 3018 6097 3012 6097 3021 6098 2625 6098 2626 6098 3020 6099 2625 6099 3021 6099 3022 6100 2626 6100 2627 6100 3021 6101 2626 6101 3022 6101 3023 6102 2627 6102 2628 6102 3022 6103 2627 6103 3023 6103 3024 6104 2628 6104 2607 6104 3023 6105 2628 6105 3024 6105 3025 6106 2607 6106 2686 6106 3024 6107 2607 6107 3025 6107 3026 6108 2686 6108 2685 6108 3025 6109 2686 6109 3026 6109 3027 6110 2685 6110 2808 6110 3028 6111 2685 6111 3027 6111 3026 6112 2685 6112 3028 6112 3027 6113 2808 6113 2809 6113 3029 6114 2809 6114 2810 6114 3027 6115 2809 6115 3029 6115 3030 6116 2810 6116 2811 6116 3031 6117 2810 6117 3030 6117 3029 6118 2810 6118 3031 6118 3030 6119 2811 6119 2797 6119 3032 6120 2797 6120 2804 6120 3030 6121 2797 6121 3032 6121 3033 6122 2804 6122 2805 6122 3032 6123 2804 6123 3033 6123 3034 6124 2805 6124 2806 6124 3033 6125 2805 6125 3034 6125 3035 6126 2806 6126 2801 6126 3034 6127 2806 6127 3035 6127 3035 6128 2801 6128 3019 6128 2941 6129 2940 6129 3036 6129 3037 6130 3036 6130 2940 6130 3038 6131 3036 6131 2863 6131 3039 6132 2863 6132 3036 6132 2941 6133 3036 6133 3038 6133 3039 6134 3036 6134 3037 6134 3040 6135 2940 6135 2934 6135 3037 6136 2940 6136 3040 6136 3041 6137 2934 6137 2945 6137 3040 6138 2934 6138 3041 6138 3042 6139 2945 6139 2955 6139 3041 6140 2945 6140 3042 6140 3043 6141 2955 6141 2956 6141 3042 6142 2955 6142 3043 6142 3044 6143 3045 6143 2956 6143 3046 6144 2956 6144 3045 6144 2957 6145 3044 6145 2956 6145 3043 6146 2956 6146 3046 6146 2879 6147 2878 6147 3045 6147 3047 6148 3045 6148 2878 6148 2879 6149 3045 6149 3044 6149 3046 6150 3045 6150 3047 6150 3048 6151 2878 6151 2868 6151 3048 6152 3047 6152 2878 6152 3049 6153 2868 6153 2861 6153 3048 6154 2868 6154 3049 6154 3050 6155 2861 6155 2862 6155 3049 6156 2861 6156 3050 6156 3051 6157 2862 6157 2863 6157 3050 6158 2862 6158 3051 6158 2864 6159 3038 6159 2863 6159 3051 6160 2863 6160 3039 6160 3052 6161 3038 6161 2864 6161 3053 6162 2941 6162 3038 6162 3053 6163 3038 6163 3052 6163 3054 6164 2864 6164 2852 6164 3054 6165 3052 6165 2864 6165 3055 6166 2852 6166 2845 6166 3054 6167 2852 6167 3055 6167 3056 6168 2845 6168 2846 6168 3055 6169 2845 6169 3056 6169 3057 6170 2846 6170 2847 6170 3056 6171 2846 6171 3057 6171 3058 6172 3059 6172 2847 6172 3060 6173 2847 6173 3059 6173 2848 6174 3058 6174 2847 6174 3057 6175 2847 6175 3060 6175 2926 6176 2925 6176 3059 6176 3061 6177 3059 6177 2925 6177 2926 6178 3059 6178 3058 6178 3060 6179 3059 6179 3061 6179 3062 6180 2925 6180 2919 6180 3061 6181 2925 6181 3062 6181 3063 6182 2919 6182 2930 6182 3062 6183 2919 6183 3063 6183 3064 6184 2930 6184 2942 6184 3063 6185 2930 6185 3064 6185 3065 6186 2942 6186 2941 6186 3064 6187 2942 6187 3065 6187 3065 6188 2941 6188 3053 6188 3066 6189 3058 6189 2848 6189 3067 6190 2926 6190 3058 6190 3067 6191 3058 6191 3066 6191 3068 6192 2848 6192 2836 6192 3068 6193 3066 6193 2848 6193 3069 6194 2836 6194 2829 6194 3068 6195 2836 6195 3069 6195 3070 6196 2829 6196 2832 6196 3069 6197 2829 6197 3070 6197 3071 6198 2832 6198 2831 6198 3070 6199 2832 6199 3071 6199 3072 6200 2831 6200 2990 6200 3071 6201 2831 6201 3072 6201 3073 6202 2990 6202 2912 6202 3072 6203 2990 6203 3073 6203 3074 6204 2912 6204 2904 6204 3073 6205 2912 6205 3074 6205 3075 6206 2904 6206 2915 6206 3074 6207 2904 6207 3075 6207 3076 6208 2915 6208 2927 6208 3075 6209 2915 6209 3076 6209 3077 6210 2927 6210 2926 6210 3076 6211 2927 6211 3077 6211 3077 6212 2926 6212 3067 6212 3078 6213 3044 6213 2957 6213 3079 6214 2879 6214 3044 6214 3079 6215 3044 6215 3078 6215 3080 6216 2957 6216 2949 6216 3080 6217 3078 6217 2957 6217 3081 6218 2949 6218 2619 6218 3080 6219 2949 6219 3081 6219 3082 6220 2619 6220 2977 6220 3081 6221 2619 6221 3082 6221 3083 6222 2977 6222 2972 6222 3082 6223 2977 6223 3083 6223 3084 6224 2972 6224 2967 6224 3083 6225 2972 6225 3084 6225 3085 6226 2967 6226 2891 6226 3084 6227 2967 6227 3085 6227 3086 6228 2891 6228 2884 6228 3085 6229 2891 6229 3086 6229 3087 6230 2884 6230 2877 6230 3086 6231 2884 6231 3087 6231 3088 6232 2877 6232 2880 6232 3087 6233 2877 6233 3088 6233 3089 6234 2880 6234 2879 6234 3088 6235 2880 6235 3089 6235 3089 6236 2879 6236 3079 6236 3090 6237 2747 6237 2755 6237 3091 6238 2725 6238 2747 6238 3091 6239 2747 6239 3090 6239 3092 6240 2755 6240 2674 6240 3092 6241 3090 6241 2755 6241 3093 6242 2674 6242 2667 6242 3092 6243 2674 6243 3093 6243 3094 6244 2667 6244 2657 6244 3093 6245 2667 6245 3094 6245 3095 6246 2657 6246 2656 6246 3094 6247 2657 6247 3095 6247 3096 6248 2656 6248 2645 6248 3095 6249 2656 6249 3096 6249 3097 6250 2645 6250 2647 6250 3096 6251 2645 6251 3097 6251 3098 6252 2647 6252 2629 6252 3097 6253 2647 6253 3098 6253 3099 6254 2629 6254 2710 6254 3098 6255 2629 6255 3099 6255 3100 6256 2710 6256 2714 6256 3099 6257 2710 6257 3100 6257 3101 6258 2714 6258 2725 6258 3100 6259 2714 6259 3101 6259 3101 6260 2725 6260 3091 6260 3102 6261 2596 6261 2599 6261 3102 6262 2687 6262 2596 6262 3102 6263 2599 6263 2600 6263 3103 6264 2600 6264 2601 6264 3103 6265 3102 6265 2600 6265 3104 6266 2601 6266 2602 6266 3105 6267 2601 6267 3104 6267 3103 6268 2601 6268 3105 6268 3104 6269 2602 6269 2603 6269 3104 6270 2603 6270 2604 6270 3106 6271 2604 6271 2598 6271 3104 6272 2604 6272 3107 6272 3108 6273 3107 6273 2604 6273 3109 6274 3110 6274 2604 6274 3111 6275 2604 6275 3110 6275 3112 6276 3109 6276 2604 6276 3106 6277 3112 6277 2604 6277 3113 6278 3114 6278 2604 6278 3115 6279 2604 6279 3114 6279 3111 6280 3113 6280 2604 6280 3116 6281 3108 6281 2604 6281 3117 6282 3116 6282 2604 6282 3115 6283 3117 6283 2604 6283 2954 6284 2598 6284 2631 6284 3106 6285 2598 6285 2691 6285 2958 6286 2691 6286 2598 6286 2954 6287 2958 6287 2598 6287 3118 6288 2631 6288 2635 6288 2707 6289 2706 6289 2631 6289 2721 6290 2631 6290 2706 6290 2707 6291 2631 6291 2717 6291 3118 6292 2717 6292 2631 6292 2894 6293 2631 6293 2721 6293 2897 6294 2631 6294 2894 6294 2909 6295 2631 6295 2897 6295 2924 6296 2631 6296 2909 6296 2939 6297 2631 6297 2924 6297 2954 6298 2631 6298 2939 6298 2698 6299 2635 6299 2641 6299 2700 6300 2635 6300 2698 6300 2701 6301 2635 6301 2700 6301 3118 6302 2635 6302 2701 6302 2695 6303 2641 6303 2649 6303 2696 6304 3119 6304 2641 6304 3120 6305 2641 6305 3119 6305 2696 6306 2641 6306 2695 6306 2699 6307 2698 6307 2641 6307 3120 6308 2699 6308 2641 6308 2692 6309 2649 6309 2652 6309 2694 6310 2649 6310 2692 6310 2695 6311 2649 6311 2694 6311 2767 6312 2652 6312 2659 6312 2693 6313 2692 6313 2652 6313 2693 6314 2652 6314 2697 6314 2767 6315 2697 6315 2652 6315 2768 6316 2659 6316 2664 6316 2768 6317 2767 6317 2659 6317 2759 6318 2664 6318 2669 6318 3121 6319 2664 6319 3122 6319 2761 6320 3122 6320 2664 6320 2774 6321 2664 6321 3121 6321 2761 6322 2664 6322 2759 6322 2768 6323 2664 6323 2774 6323 2688 6324 3123 6324 2669 6324 2827 6325 2669 6325 3123 6325 3122 6326 2669 6326 3124 6326 2827 6327 3124 6327 2669 6327 2766 6328 2669 6328 3122 6328 2760 6329 2759 6329 2669 6329 2760 6330 2669 6330 2766 6330 3125 6331 2690 6331 2689 6331 2785 6332 2688 6332 2690 6332 2785 6333 2690 6333 2778 6333 2812 6334 2778 6334 2690 6334 2807 6335 2690 6335 2800 6335 3126 6336 2800 6336 2690 6336 2807 6337 2812 6337 2690 6337 3127 6338 3126 6338 2690 6338 3128 6339 3127 6339 2690 6339 3125 6340 3128 6340 2690 6340 3125 6341 2689 6341 2691 6341 3129 6342 3107 6342 2691 6342 3108 6343 2691 6343 3107 6343 2687 6344 3129 6344 2691 6344 3130 6345 3106 6345 2691 6345 3131 6346 3130 6346 2691 6346 3132 6347 3131 6347 2691 6347 3133 6348 3132 6348 2691 6348 3108 6349 3134 6349 2691 6349 3135 6350 2691 6350 3134 6350 3135 6351 3136 6351 2691 6351 3137 6352 2691 6352 3136 6352 3138 6353 2691 6353 3137 6353 3138 6354 3133 6354 2691 6354 3139 6355 3125 6355 2691 6355 3139 6356 2691 6356 2958 6356 3140 6357 3123 6357 2688 6357 3141 6358 3123 6358 3140 6358 2889 6359 3123 6359 3141 6359 2842 6360 2827 6360 3123 6360 2858 6361 2842 6361 3123 6361 2874 6362 2858 6362 3123 6362 2890 6363 2874 6363 3123 6363 2889 6364 2890 6364 3123 6364 2790 6365 2793 6365 2688 6365 3142 6366 2688 6366 2793 6366 2785 6367 2790 6367 2688 6367 3143 6368 2688 6368 3142 6368 3143 6369 3140 6369 2688 6369 3104 6370 3107 6370 3129 6370 3144 6371 3129 6371 2687 6371 3145 6372 3104 6372 3129 6372 3146 6373 3145 6373 3129 6373 3147 6374 3146 6374 3129 6374 3148 6375 3147 6375 3129 6375 3149 6376 3148 6376 3129 6376 3144 6377 3150 6377 3129 6377 3151 6378 3129 6378 3150 6378 3151 6379 3152 6379 3129 6379 3153 6380 3129 6380 3152 6380 3154 6381 3129 6381 3153 6381 3154 6382 3149 6382 3129 6382 3144 6383 2687 6383 3102 6383 3145 6384 3105 6384 3104 6384 3155 6385 3102 6385 3103 6385 3156 6386 3157 6386 3102 6386 3158 6387 3102 6387 3157 6387 3159 6388 3156 6388 3102 6388 3155 6389 3159 6389 3102 6389 3160 6390 3161 6390 3102 6390 3162 6391 3102 6391 3161 6391 3158 6392 3160 6392 3102 6392 3163 6393 3144 6393 3102 6393 3164 6394 3163 6394 3102 6394 3165 6395 3164 6395 3102 6395 3162 6396 3165 6396 3102 6396 3155 6397 3103 6397 3105 6397 3145 6398 3155 6398 3105 6398 3166 6399 3157 6399 3156 6399 3147 6400 3157 6400 3146 6400 3110 6401 3146 6401 3157 6401 3147 6402 3158 6402 3157 6402 3110 6403 3157 6403 3166 6403 3130 6404 3156 6404 3159 6404 3130 6405 3166 6405 3156 6405 3106 6406 3159 6406 3155 6406 3130 6407 3159 6407 3106 6407 3112 6408 3155 6408 3145 6408 3106 6409 3155 6409 3112 6409 3109 6410 3145 6410 3146 6410 3112 6411 3145 6411 3109 6411 3109 6412 3146 6412 3110 6412 3162 6413 3161 6413 3167 6413 3168 6414 3167 6414 3161 6414 3149 6415 3167 6415 3148 6415 3114 6416 3148 6416 3167 6416 3149 6417 3162 6417 3167 6417 3114 6418 3167 6418 3168 6418 3132 6419 3161 6419 3160 6419 3132 6420 3168 6420 3161 6420 3131 6421 3160 6421 3158 6421 3132 6422 3160 6422 3131 6422 3111 6423 3158 6423 3147 6423 3131 6424 3158 6424 3111 6424 3113 6425 3147 6425 3148 6425 3111 6426 3147 6426 3113 6426 3113 6427 3148 6427 3114 6427 3134 6428 3150 6428 3144 6428 3108 6429 3151 6429 3150 6429 3108 6430 3150 6430 3134 6430 3135 6431 3144 6431 3163 6431 3135 6432 3134 6432 3144 6432 3164 6433 3169 6433 3163 6433 3136 6434 3163 6434 3169 6434 3135 6435 3163 6435 3136 6435 3153 6436 3152 6436 3169 6436 3170 6437 3169 6437 3152 6437 3164 6438 3153 6438 3169 6438 3136 6439 3169 6439 3170 6439 3116 6440 3152 6440 3151 6440 3170 6441 3152 6441 3116 6441 3116 6442 3151 6442 3108 6442 3137 6443 3153 6443 3164 6443 3117 6444 3154 6444 3153 6444 3117 6445 3153 6445 3137 6445 3138 6446 3164 6446 3165 6446 3138 6447 3137 6447 3164 6447 3133 6448 3165 6448 3162 6448 3138 6449 3165 6449 3133 6449 3171 6450 3162 6450 3149 6450 3133 6451 3162 6451 3171 6451 3115 6452 3149 6452 3154 6452 3171 6453 3149 6453 3115 6453 3115 6454 3154 6454 3117 6454 3111 6455 3110 6455 3166 6455 3131 6456 3166 6456 3130 6456 3131 6457 3111 6457 3166 6457 3171 6458 3114 6458 3168 6458 3133 6459 3168 6459 3132 6459 3133 6460 3171 6460 3168 6460 3171 6461 3115 6461 3114 6461 3117 6462 3170 6462 3116 6462 3137 6463 3136 6463 3170 6463 3117 6464 3137 6464 3170 6464 3172 6465 3173 6465 3174 6465 3175 6466 3174 6466 3173 6466 3176 6467 3174 6467 3177 6467 3178 6468 3177 6468 3174 6468 3172 6469 3174 6469 3176 6469 3175 6470 3178 6470 3174 6470 3172 6471 3179 6471 3173 6471 3180 6472 3173 6472 3179 6472 3180 6473 3175 6473 3173 6473 3181 6474 3182 6474 3179 6474 3183 6475 3179 6475 3182 6475 3172 6476 3181 6476 3179 6476 3183 6477 3180 6477 3179 6477 3184 6478 3185 6478 3182 6478 3186 6479 3182 6479 3185 6479 3181 6480 3184 6480 3182 6480 3186 6481 3183 6481 3182 6481 3187 6482 3188 6482 3185 6482 3189 6483 3185 6483 3188 6483 3184 6484 3187 6484 3185 6484 3186 6485 3185 6485 3189 6485 3187 6486 3190 6486 3188 6486 3191 6487 3188 6487 3190 6487 3191 6488 3189 6488 3188 6488 3192 6489 3177 6489 3190 6489 3193 6490 3190 6490 3177 6490 3187 6491 3192 6491 3190 6491 3193 6492 3191 6492 3190 6492 3192 6493 3176 6493 3177 6493 3178 6494 3193 6494 3177 6494 3194 6495 3176 6495 3192 6495 3195 6496 3172 6496 3176 6496 3196 6497 3176 6497 3194 6497 3196 6498 3195 6498 3176 6498 3187 6499 3197 6499 3192 6499 3198 6500 3192 6500 3197 6500 3199 6501 3194 6501 3192 6501 3198 6502 3199 6502 3192 6502 3200 6503 3197 6503 3187 6503 3201 6504 3198 6504 3197 6504 3200 6505 3201 6505 3197 6505 3202 6506 3187 6506 3184 6506 3203 6507 3200 6507 3187 6507 3202 6508 3203 6508 3187 6508 3204 6509 3184 6509 3181 6509 3205 6510 3184 6510 3204 6510 3205 6511 3202 6511 3184 6511 3172 6512 3206 6512 3181 6512 3207 6513 3181 6513 3206 6513 3208 6514 3204 6514 3181 6514 3207 6515 3208 6515 3181 6515 3209 6516 3206 6516 3172 6516 3210 6517 3207 6517 3206 6517 3209 6518 3210 6518 3206 6518 3211 6519 3209 6519 3172 6519 3195 6520 3211 6520 3172 6520 3212 6521 3189 6521 3191 6521 3213 6522 3186 6522 3189 6522 3214 6523 3213 6523 3189 6523 3212 6524 3214 6524 3189 6524 3178 6525 3191 6525 3193 6525 3215 6526 3191 6526 3178 6526 3216 6527 3212 6527 3191 6527 3217 6528 3216 6528 3191 6528 3215 6529 3217 6529 3191 6529 3218 6530 3178 6530 3175 6530 3218 6531 3215 6531 3178 6531 3219 6532 3175 6532 3180 6532 3220 6533 3175 6533 3219 6533 3220 6534 3218 6534 3175 6534 3186 6535 3180 6535 3183 6535 3221 6536 3180 6536 3186 6536 3222 6537 3219 6537 3180 6537 3223 6538 3222 6538 3180 6538 3221 6539 3223 6539 3180 6539 3213 6540 3221 6540 3186 6540 3224 6541 3196 6541 3194 6541 3225 6542 3194 6542 3199 6542 3224 6543 3194 6543 3225 6543 3226 6544 3204 6544 3208 6544 3227 6545 3205 6545 3204 6545 3227 6546 3204 6546 3226 6546 3228 6547 3208 6547 3207 6547 3228 6548 3226 6548 3208 6548 3228 6549 3207 6549 3210 6549 3229 6550 3210 6550 3209 6550 3228 6551 3210 6551 3229 6551 3230 6552 3209 6552 3211 6552 3229 6553 3209 6553 3230 6553 3230 6554 3211 6554 3195 6554 3224 6555 3195 6555 3196 6555 3230 6556 3195 6556 3224 6556 3231 6557 3199 6557 3198 6557 3225 6558 3199 6558 3231 6558 3231 6559 3198 6559 3201 6559 3232 6560 3201 6560 3200 6560 3231 6561 3201 6561 3232 6561 3233 6562 3200 6562 3203 6562 3232 6563 3200 6563 3233 6563 3233 6564 3203 6564 3202 6564 3227 6565 3202 6565 3205 6565 3233 6566 3202 6566 3227 6566 3234 6567 3235 6567 3236 6567 3237 6568 3236 6568 3235 6568 3238 6569 3236 6569 3239 6569 3240 6570 3239 6570 3236 6570 3241 6571 3234 6571 3236 6571 3242 6572 3241 6572 3236 6572 3243 6573 3242 6573 3236 6573 3238 6574 3243 6574 3236 6574 3240 6575 3236 6575 3237 6575 3244 6576 3245 6576 3235 6576 3246 6577 3235 6577 3245 6577 3234 6578 3244 6578 3235 6578 3246 6579 3237 6579 3235 6579 3247 6580 3248 6580 3245 6580 3249 6581 3245 6581 3248 6581 3250 6582 3247 6582 3245 6582 3251 6583 3245 6583 3244 6583 3252 6584 3245 6584 3251 6584 3252 6585 3250 6585 3245 6585 3249 6586 3246 6586 3245 6586 3253 6587 3248 6587 3247 6587 3254 6588 3248 6588 3253 6588 3124 6589 3248 6589 3254 6589 3249 6590 3248 6590 3124 6590 3255 6591 3256 6591 3247 6591 3257 6592 3247 6592 3256 6592 3258 6593 3255 6593 3247 6593 3250 6594 3258 6594 3247 6594 3253 6595 3247 6595 3257 6595 3255 6596 3259 6596 3256 6596 3257 6597 3256 6597 3259 6597 3255 6598 3260 6598 3259 6598 3261 6599 3259 6599 3260 6599 3257 6600 3259 6600 3261 6600 3262 6601 3244 6601 3260 6601 3263 6602 3260 6602 3244 6602 3264 6603 3262 6603 3260 6603 3265 6604 3264 6604 3260 6604 3255 6605 3265 6605 3260 6605 3261 6606 3260 6606 3263 6606 3266 6607 3267 6607 3244 6607 3268 6608 3244 6608 3267 6608 3269 6609 3266 6609 3244 6609 3234 6610 3269 6610 3244 6610 3262 6611 3251 6611 3244 6611 3263 6612 3244 6612 3268 6612 3270 6613 3271 6613 3267 6613 3272 6614 3267 6614 3271 6614 3273 6615 3274 6615 3267 6615 3275 6616 3267 6616 3274 6616 3276 6617 3273 6617 3267 6617 3277 6618 3270 6618 3267 6618 3275 6619 3277 6619 3267 6619 3278 6620 3276 6620 3267 6620 3279 6621 3278 6621 3267 6621 3266 6622 3279 6622 3267 6622 3268 6623 3267 6623 3272 6623 3280 6624 3281 6624 3271 6624 3282 6625 3271 6625 3281 6625 3283 6626 3280 6626 3271 6626 3284 6627 3283 6627 3271 6627 3270 6628 3284 6628 3271 6628 3272 6629 3271 6629 3282 6629 3285 6630 3286 6630 3281 6630 3287 6631 3281 6631 3286 6631 3288 6632 3285 6632 3281 6632 3289 6633 3288 6633 3281 6633 3280 6634 3289 6634 3281 6634 3282 6635 3281 6635 3287 6635 3290 6636 3286 6636 3285 6636 3287 6637 3286 6637 3290 6637 3290 6638 3285 6638 3288 6638 3119 6639 3288 6639 3289 6639 3291 6640 3290 6640 3288 6640 3292 6641 3291 6641 3288 6641 3119 6642 3292 6642 3288 6642 3120 6643 3289 6643 3280 6643 3120 6644 3119 6644 3289 6644 3293 6645 3294 6645 3280 6645 3295 6646 3280 6646 3294 6646 3296 6647 3293 6647 3280 6647 3297 6648 3296 6648 3280 6648 3298 6649 3297 6649 3280 6649 3283 6650 3298 6650 3280 6650 3120 6651 3280 6651 3295 6651 3238 6652 3239 6652 3294 6652 3118 6653 3294 6653 3239 6653 3299 6654 3294 6654 3293 6654 3238 6655 3294 6655 3299 6655 3118 6656 3295 6656 3294 6656 3240 6657 3118 6657 3239 6657 3300 6658 3274 6658 3273 6658 3300 6659 3275 6659 3274 6659 3301 6660 3302 6660 3273 6660 3303 6661 3273 6661 3302 6661 3276 6662 3301 6662 3273 6662 3300 6663 3273 6663 3303 6663 3304 6664 3305 6664 3302 6664 3306 6665 3302 6665 3305 6665 3301 6666 3304 6666 3302 6666 3303 6667 3302 6667 3306 6667 3307 6668 3305 6668 3304 6668 3306 6669 3305 6669 3307 6669 3308 6670 3293 6670 3304 6670 3309 6671 3304 6671 3293 6671 3301 6672 3308 6672 3304 6672 3307 6673 3304 6673 3309 6673 3310 6674 3293 6674 3296 6674 3311 6675 3299 6675 3293 6675 3308 6676 3311 6676 3293 6676 3310 6677 3309 6677 3293 6677 3312 6678 3296 6678 3297 6678 3313 6679 3296 6679 3312 6679 3310 6680 3296 6680 3313 6680 3312 6681 3297 6681 3298 6681 3314 6682 3298 6682 3283 6682 3312 6683 3298 6683 3314 6683 3315 6684 3283 6684 3284 6684 3314 6685 3283 6685 3315 6685 3316 6686 3284 6686 3270 6686 3315 6687 3284 6687 3316 6687 3317 6688 3270 6688 3277 6688 3316 6689 3270 6689 3317 6689 3318 6690 3277 6690 3275 6690 3317 6691 3277 6691 3318 6691 3319 6692 3275 6692 3300 6692 3318 6693 3275 6693 3319 6693 3320 6694 3299 6694 3311 6694 3321 6695 3238 6695 3299 6695 3321 6696 3299 6696 3320 6696 3322 6697 3311 6697 3308 6697 3322 6698 3320 6698 3311 6698 3323 6699 3308 6699 3301 6699 3324 6700 3308 6700 3323 6700 3322 6701 3308 6701 3324 6701 3323 6702 3301 6702 3276 6702 3325 6703 3276 6703 3278 6703 3323 6704 3276 6704 3325 6704 3326 6705 3278 6705 3279 6705 3325 6706 3278 6706 3326 6706 3327 6707 3279 6707 3266 6707 3326 6708 3279 6708 3327 6708 3328 6709 3266 6709 3269 6709 3327 6710 3266 6710 3328 6710 3329 6711 3269 6711 3234 6711 3328 6712 3269 6712 3329 6712 3330 6713 3234 6713 3241 6713 3331 6714 3234 6714 3330 6714 3329 6715 3234 6715 3331 6715 3330 6716 3241 6716 3242 6716 3332 6717 3242 6717 3243 6717 3330 6718 3242 6718 3332 6718 3333 6719 3243 6719 3238 6719 3332 6720 3243 6720 3333 6720 3333 6721 3238 6721 3321 6721 3334 6722 3251 6722 3262 6722 3335 6723 3252 6723 3251 6723 3335 6724 3251 6724 3334 6724 3336 6725 3262 6725 3264 6725 3337 6726 3262 6726 3336 6726 3334 6727 3262 6727 3337 6727 3338 6728 3264 6728 3265 6728 3336 6729 3264 6729 3338 6729 3339 6730 3265 6730 3255 6730 3340 6731 3265 6731 3339 6731 3338 6732 3265 6732 3340 6732 3341 6733 3255 6733 3258 6733 3339 6734 3255 6734 3341 6734 3342 6735 3258 6735 3250 6735 3343 6736 3341 6736 3258 6736 3343 6737 3258 6737 3342 6737 3344 6738 3250 6738 3252 6738 3342 6739 3250 6739 3344 6739 3345 6740 3252 6740 3335 6740 3344 6741 3252 6741 3345 6741 3346 6742 3091 6742 3090 6742 3347 6743 3346 6743 3090 6743 3092 6744 3347 6744 3090 6744 3346 6745 3101 6745 3091 6745 3348 6746 3100 6746 3101 6746 3349 6747 3348 6747 3101 6747 3346 6748 3349 6748 3101 6748 3350 6749 3099 6749 3100 6749 3348 6750 3350 6750 3100 6750 3351 6751 3098 6751 3099 6751 3350 6752 3351 6752 3099 6752 3352 6753 3097 6753 3098 6753 3351 6754 3352 6754 3098 6754 3353 6755 3097 6755 3352 6755 3353 6756 3096 6756 3097 6756 3290 6757 3352 6757 3351 6757 3291 6758 3353 6758 3352 6758 3291 6759 3352 6759 3290 6759 3282 6760 3351 6760 3350 6760 3287 6761 3290 6761 3351 6761 3282 6762 3287 6762 3351 6762 3272 6763 3350 6763 3348 6763 3272 6764 3282 6764 3350 6764 3272 6765 3348 6765 3349 6765 3268 6766 3349 6766 3346 6766 3268 6767 3272 6767 3349 6767 3263 6768 3346 6768 3347 6768 3263 6769 3268 6769 3346 6769 3354 6770 3347 6770 3092 6770 3261 6771 3347 6771 3354 6771 3261 6772 3263 6772 3347 6772 3353 6773 3095 6773 3096 6773 3355 6774 3094 6774 3095 6774 3356 6775 3355 6775 3095 6775 3353 6776 3356 6776 3095 6776 3357 6777 3093 6777 3094 6777 3355 6778 3357 6778 3094 6778 3354 6779 3092 6779 3093 6779 3357 6780 3354 6780 3093 6780 3253 6781 3354 6781 3357 6781 3257 6782 3261 6782 3354 6782 3253 6783 3257 6783 3354 6783 3254 6784 3357 6784 3355 6784 3254 6785 3253 6785 3357 6785 3254 6786 3355 6786 3356 6786 3358 6787 3356 6787 3353 6787 3358 6788 3254 6788 3356 6788 3291 6789 3358 6789 3353 6789 3122 6790 3254 6790 3358 6790 3122 6791 3124 6791 3254 6791 3292 6792 3358 6792 3291 6792 3121 6793 3122 6793 3358 6793 3292 6794 3121 6794 3358 6794 3249 6795 3124 6795 2752 6795 2820 6796 2752 6796 3124 6796 2827 6797 2820 6797 3124 6797 2763 6798 3122 6798 2761 6798 2765 6799 3122 6799 2763 6799 2766 6800 3122 6800 2765 6800 2774 6801 3121 6801 3292 6801 2772 6802 3292 6802 3119 6802 2773 6803 3292 6803 2772 6803 2774 6804 3292 6804 2773 6804 2770 6805 3119 6805 2696 6805 2772 6806 3119 6806 2770 6806 2767 6807 2696 6807 2697 6807 2770 6808 2696 6808 2767 6808 3118 6809 2701 6809 2703 6809 3295 6810 2703 6810 2704 6810 3118 6811 2703 6811 3295 6811 3295 6812 2704 6812 2699 6812 3120 6813 3295 6813 2699 6813 2733 6814 2706 6814 2709 6814 2724 6815 2721 6815 2706 6815 2724 6816 2706 6816 2733 6816 3359 6817 2709 6817 2712 6817 3360 6818 2733 6818 2709 6818 3361 6819 3360 6819 2709 6819 3359 6820 3361 6820 2709 6820 3237 6821 2712 6821 2716 6821 3359 6822 2712 6822 3237 6822 3240 6823 2716 6823 2717 6823 3240 6824 3237 6824 2716 6824 3240 6825 2717 6825 3118 6825 2727 6826 3362 6826 2746 6826 2748 6827 2721 6827 2746 6827 2746 6828 2721 6828 2727 6828 2894 6829 2721 6829 2748 6829 3363 6830 2727 6830 2729 6830 3363 6831 3362 6831 2727 6831 3364 6832 2729 6832 2731 6832 3364 6833 3363 6833 2729 6833 3364 6834 2731 6834 2733 6834 3360 6835 3364 6835 2733 6835 2819 6836 2737 6836 2742 6836 2896 6837 2739 6837 2737 6837 2903 6838 2737 6838 2819 6838 2903 6839 2896 6839 2737 6839 2819 6840 2742 6840 2744 6840 3365 6841 2744 6841 2746 6841 2820 6842 2744 6842 3365 6842 2820 6843 2819 6843 2744 6843 3365 6844 2746 6844 3362 6844 2894 6845 2748 6845 2739 6845 2896 6846 2894 6846 2739 6846 2820 6847 2749 6847 2752 6847 2820 6848 2751 6848 2749 6848 3249 6849 2752 6849 2754 6849 3366 6850 2754 6850 2757 6850 3366 6851 3249 6851 2754 6851 3367 6852 2757 6852 2758 6852 3367 6853 3366 6853 2757 6853 3367 6854 2758 6854 2751 6854 3365 6855 3367 6855 2751 6855 2820 6856 3365 6856 2751 6856 3327 6857 3368 6857 3369 6857 3370 6858 3369 6858 3368 6858 3320 6859 3369 6859 3371 6859 3372 6860 3371 6860 3369 6860 3327 6861 3369 6861 3320 6861 3372 6862 3369 6862 3370 6862 3327 6863 3373 6863 3368 6863 3374 6864 3368 6864 3373 6864 3370 6865 3368 6865 3374 6865 3328 6866 3375 6866 3373 6866 3376 6867 3373 6867 3375 6867 3327 6868 3328 6868 3373 6868 3374 6869 3373 6869 3376 6869 3321 6870 3377 6870 3375 6870 3378 6871 3375 6871 3377 6871 3333 6872 3321 6872 3375 6872 3328 6873 3333 6873 3375 6873 3376 6874 3375 6874 3378 6874 3321 6875 3371 6875 3377 6875 3379 6876 3377 6876 3371 6876 3379 6877 3378 6877 3377 6877 3321 6878 3320 6878 3371 6878 3379 6879 3371 6879 3372 6879 3317 6880 3380 6880 3381 6880 3382 6881 3381 6881 3380 6881 3313 6882 3381 6882 3383 6882 3384 6883 3383 6883 3381 6883 3316 6884 3317 6884 3381 6884 3312 6885 3316 6885 3381 6885 3313 6886 3312 6886 3381 6886 3384 6887 3381 6887 3382 6887 3317 6888 3385 6888 3380 6888 3386 6889 3380 6889 3385 6889 3382 6890 3380 6890 3386 6890 3318 6891 3387 6891 3385 6891 3388 6892 3385 6892 3387 6892 3317 6893 3318 6893 3385 6893 3386 6894 3385 6894 3388 6894 3309 6895 3389 6895 3387 6895 3390 6896 3387 6896 3389 6896 3307 6897 3309 6897 3387 6897 3318 6898 3307 6898 3387 6898 3388 6899 3387 6899 3390 6899 3310 6900 3383 6900 3389 6900 3391 6901 3389 6901 3383 6901 3310 6902 3389 6902 3309 6902 3391 6903 3390 6903 3389 6903 3310 6904 3313 6904 3383 6904 3391 6905 3383 6905 3384 6905 3300 6906 3306 6906 3307 6906 3319 6907 3300 6907 3307 6907 3318 6908 3319 6908 3307 6908 3300 6909 3303 6909 3306 6909 3314 6910 3315 6910 3316 6910 3312 6911 3314 6911 3316 6911 3322 6912 3327 6912 3320 6912 3328 6913 3332 6913 3333 6913 3328 6914 3330 6914 3332 6914 3329 6915 3331 6915 3330 6915 3328 6916 3329 6916 3330 6916 3322 6917 3326 6917 3327 6917 3324 6918 3325 6918 3326 6918 3322 6919 3324 6919 3326 6919 3324 6920 3323 6920 3325 6920 3376 6921 3378 6921 3392 6921 3379 6922 3392 6922 3378 6922 3374 6923 3376 6923 3392 6923 3370 6924 3374 6924 3392 6924 3372 6925 3370 6925 3392 6925 3379 6926 3372 6926 3392 6926 2815 6927 2781 6927 2778 6927 2812 6928 2815 6928 2778 6928 3142 6929 2796 6929 2781 6929 3142 6930 2781 6930 2815 6930 3142 6931 2793 6931 2796 6931 3126 6932 2803 6932 2800 6932 3126 6933 2817 6933 2803 6933 3142 6934 2815 6934 2817 6934 3126 6935 3142 6935 2817 6935 3393 6936 3142 6936 3126 6936 3394 6937 3143 6937 3142 6937 3394 6938 3142 6938 3393 6938 3395 6939 3126 6939 3127 6939 3395 6940 3393 6940 3126 6940 3139 6941 3127 6941 3128 6941 3139 6942 3395 6942 3127 6942 3139 6943 3128 6943 3125 6943 3141 6944 3140 6944 3143 6944 3394 6945 3141 6945 3143 6945 2958 6946 3393 6946 3395 6946 3394 6947 3393 6947 2958 6947 3139 6948 2958 6948 3395 6948 2960 6949 2889 6949 3141 6949 2958 6950 2960 6950 3141 6950 3394 6951 2958 6951 3141 6951 2983 6952 2963 6952 2966 6952 2981 6953 2983 6953 2966 6953 2979 6954 2981 6954 2966 6954 2969 6955 2979 6955 2966 6955 2985 6956 2964 6956 2963 6956 2983 6957 2985 6957 2963 6957 2971 6958 2976 6958 2979 6958 2969 6959 2971 6959 2979 6959 2974 6960 2975 6960 2976 6960 2971 6961 2974 6961 2976 6961 3020 6962 3019 6962 3018 6962 3021 6963 3035 6963 3019 6963 3020 6964 3021 6964 3019 6964 3022 6965 3034 6965 3035 6965 3021 6966 3022 6966 3035 6966 3022 6967 3033 6967 3034 6967 3022 6968 3032 6968 3033 6968 3022 6969 3030 6969 3032 6969 3022 6970 3031 6970 3030 6970 3022 6971 3029 6971 3031 6971 3022 6972 3027 6972 3029 6972 3024 6973 3028 6973 3027 6973 3023 6974 3024 6974 3027 6974 3022 6975 3023 6975 3027 6975 3025 6976 3026 6976 3028 6976 3024 6977 3025 6977 3028 6977 3004 6978 3006 6978 3007 6978 3005 6979 3004 6979 3007 6979 3008 6980 3005 6980 3007 6980 3008 6981 3017 6981 3005 6981 3008 6982 3016 6982 3017 6982 3011 6983 3015 6983 3016 6983 3010 6984 3011 6984 3016 6984 3008 6985 3010 6985 3016 6985 3013 6986 3014 6986 3015 6986 3011 6987 3013 6987 3015 6987 3049 6988 3046 6988 3047 6988 3048 6989 3049 6989 3047 6989 3050 6990 3043 6990 3046 6990 3049 6991 3050 6991 3046 6991 3050 6992 3042 6992 3043 6992 3039 6993 3041 6993 3042 6993 3051 6994 3039 6994 3042 6994 3050 6995 3051 6995 3042 6995 3037 6996 3040 6996 3041 6996 3039 6997 3037 6997 3041 6997 3055 6998 3053 6998 3052 6998 3054 6999 3055 6999 3052 6999 3056 7000 3065 7000 3053 7000 3055 7001 3056 7001 3053 7001 3056 7002 3064 7002 3065 7002 3060 7003 3063 7003 3064 7003 3057 7004 3060 7004 3064 7004 3056 7005 3057 7005 3064 7005 3061 7006 3062 7006 3063 7006 3060 7007 3061 7007 3063 7007 3069 7008 3067 7008 3066 7008 3068 7009 3069 7009 3066 7009 3070 7010 3077 7010 3067 7010 3069 7011 3070 7011 3067 7011 3070 7012 3076 7012 3077 7012 3072 7013 3075 7013 3076 7013 3071 7014 3072 7014 3076 7014 3070 7015 3071 7015 3076 7015 3073 7016 3074 7016 3075 7016 3072 7017 3073 7017 3075 7017 3001 7018 2986 7018 2988 7018 3000 7019 3001 7019 2988 7019 2996 7020 3000 7020 2988 7020 2989 7021 2996 7021 2988 7021 3002 7022 2987 7022 2986 7022 3001 7023 3002 7023 2986 7023 3002 7024 3003 7024 2987 7024 2997 7025 2999 7025 3000 7025 2996 7026 2997 7026 3000 7026 2997 7027 2998 7027 2999 7027 2992 7028 2995 7028 2996 7028 2989 7029 2992 7029 2996 7029 2993 7030 2994 7030 2995 7030 2992 7031 2993 7031 2995 7031 3081 7032 3079 7032 3078 7032 3080 7033 3081 7033 3078 7033 3082 7034 3089 7034 3079 7034 3081 7035 3082 7035 3079 7035 3082 7036 3088 7036 3089 7036 3084 7037 3087 7037 3088 7037 3083 7038 3084 7038 3088 7038 3082 7039 3083 7039 3088 7039 3085 7040 3086 7040 3087 7040 3084 7041 3085 7041 3087 7041 3359 7042 3237 7042 3246 7042 3366 7043 3246 7043 3249 7043 3396 7044 3359 7044 3246 7044 3366 7045 3396 7045 3246 7045 3388 7046 3390 7046 3397 7046 3391 7047 3397 7047 3390 7047 3386 7048 3388 7048 3397 7048 3382 7049 3386 7049 3397 7049 3384 7050 3382 7050 3397 7050 3391 7051 3384 7051 3397 7051 3334 7052 3219 7052 3222 7052 3337 7053 3220 7053 3219 7053 3334 7054 3337 7054 3219 7054 3335 7055 3222 7055 3223 7055 3335 7056 3334 7056 3222 7056 3345 7057 3223 7057 3221 7057 3345 7058 3335 7058 3223 7058 3344 7059 3221 7059 3213 7059 3344 7060 3345 7060 3221 7060 3342 7061 3213 7061 3214 7061 3342 7062 3344 7062 3213 7062 3343 7063 3214 7063 3212 7063 3343 7064 3342 7064 3214 7064 3341 7065 3212 7065 3216 7065 3343 7066 3212 7066 3341 7066 3339 7067 3216 7067 3217 7067 3339 7068 3341 7068 3216 7068 3340 7069 3217 7069 3215 7069 3340 7070 3339 7070 3217 7070 3338 7071 3215 7071 3218 7071 3338 7072 3340 7072 3215 7072 3336 7073 3218 7073 3220 7073 3336 7074 3338 7074 3218 7074 3337 7075 3336 7075 3220 7075 3226 7076 3362 7076 3363 7076 3228 7077 3365 7077 3362 7077 3228 7078 3362 7078 3226 7078 3227 7079 3363 7079 3364 7079 3227 7080 3226 7080 3363 7080 3233 7081 3364 7081 3360 7081 3233 7082 3227 7082 3364 7082 3231 7083 3360 7083 3361 7083 3232 7084 3233 7084 3360 7084 3231 7085 3232 7085 3360 7085 3231 7086 3361 7086 3359 7086 3225 7087 3359 7087 3396 7087 3225 7088 3231 7088 3359 7088 3224 7089 3396 7089 3366 7089 3224 7090 3225 7090 3396 7090 3230 7091 3366 7091 3367 7091 3230 7092 3224 7092 3366 7092 3228 7093 3367 7093 3365 7093 3229 7094 3230 7094 3367 7094 3228 7095 3229 7095 3367 7095 2902 7096 2819 7096 2823 7096 2902 7097 2903 7097 2819 7097 2842 7098 2826 7098 2827 7098 2902 7099 2825 7099 2826 7099 2835 7100 2834 7100 2826 7100 2906 7101 2826 7101 2834 7101 2842 7102 2835 7102 2826 7102 2906 7103 2902 7103 2826 7103 2902 7104 2823 7104 2825 7104 2917 7105 2834 7105 2838 7105 2908 7106 2906 7106 2834 7106 2918 7107 2908 7107 2834 7107 2917 7108 2918 7108 2834 7108 2858 7109 2841 7109 2842 7109 2917 7110 2840 7110 2841 7110 2851 7111 2850 7111 2841 7111 2921 7112 2841 7112 2850 7112 2858 7113 2851 7113 2841 7113 2921 7114 2917 7114 2841 7114 2917 7115 2838 7115 2840 7115 2932 7116 2850 7116 2854 7116 2923 7117 2921 7117 2850 7117 2933 7118 2923 7118 2850 7118 2932 7119 2933 7119 2850 7119 2874 7120 2857 7120 2858 7120 2932 7121 2856 7121 2857 7121 2867 7122 2866 7122 2857 7122 2936 7123 2857 7123 2866 7123 2874 7124 2867 7124 2857 7124 2936 7125 2932 7125 2857 7125 2932 7126 2854 7126 2856 7126 2947 7127 2866 7127 2870 7127 2938 7128 2936 7128 2866 7128 2948 7129 2938 7129 2866 7129 2947 7130 2948 7130 2866 7130 2890 7131 2873 7131 2874 7131 2947 7132 2872 7132 2873 7132 2883 7133 2882 7133 2873 7133 2951 7134 2873 7134 2882 7134 2890 7135 2883 7135 2873 7135 2951 7136 2947 7136 2873 7136 2947 7137 2870 7137 2872 7137 2960 7138 2882 7138 2886 7138 2953 7139 2951 7139 2882 7139 2961 7140 2953 7140 2882 7140 2960 7141 2961 7141 2882 7141 2960 7142 2888 7142 2889 7142 2960 7143 2886 7143 2888 7143 2906 7144 2899 7144 2902 7144 2906 7145 2897 7145 2899 7145 2909 7146 2897 7146 2906 7146 2921 7147 2914 7147 2917 7147 2921 7148 2909 7148 2914 7148 2924 7149 2909 7149 2921 7149 2936 7150 2929 7150 2932 7150 2936 7151 2924 7151 2929 7151 2939 7152 2924 7152 2936 7152 2951 7153 2944 7153 2947 7153 2951 7154 2939 7154 2944 7154 2954 7155 2939 7155 2951 7155 3398 7156 3399 7156 3400 7156 3401 7157 3400 7157 3399 7157 3402 7158 3398 7158 3400 7158 3403 7159 3404 7159 3400 7159 3402 7160 3400 7160 3404 7160 3401 7161 3403 7161 3400 7161 3405 7162 3406 7162 3399 7162 3407 7163 3399 7163 3406 7163 3408 7164 3409 7164 3399 7164 3410 7165 3399 7165 3409 7165 3411 7166 3408 7166 3399 7166 3398 7167 3411 7167 3399 7167 3412 7168 3405 7168 3399 7168 3410 7169 3412 7169 3399 7169 3413 7170 3399 7170 3407 7170 3414 7171 3399 7171 3413 7171 3401 7172 3399 7172 3414 7172 3415 7173 3416 7173 3406 7173 3417 7174 3406 7174 3416 7174 3415 7175 3406 7175 3405 7175 3407 7176 3406 7176 3417 7176 3415 7177 3418 7177 3416 7177 3417 7178 3416 7178 3418 7178 3419 7179 3420 7179 3418 7179 3421 7180 3418 7180 3420 7180 3422 7181 3419 7181 3418 7181 3415 7182 3422 7182 3418 7182 3417 7183 3418 7183 3421 7183 3423 7184 3424 7184 3420 7184 3425 7185 3420 7185 3424 7185 3410 7186 3409 7186 3420 7186 3426 7187 3420 7187 3409 7187 3419 7188 3410 7188 3420 7188 3426 7189 3423 7189 3420 7189 3421 7190 3420 7190 3425 7190 3427 7191 3428 7191 3424 7191 3425 7192 3424 7192 3428 7192 3423 7193 3427 7193 3424 7193 3429 7194 3430 7194 3428 7194 3431 7195 3428 7195 3430 7195 3432 7196 3433 7196 3428 7196 3434 7197 3428 7197 3433 7197 3435 7198 3432 7198 3428 7198 3427 7199 3435 7199 3428 7199 3429 7200 3428 7200 3434 7200 3425 7201 3428 7201 3431 7201 3436 7202 3437 7202 3430 7202 3438 7203 3430 7203 3437 7203 3429 7204 3436 7204 3430 7204 3431 7205 3430 7205 3438 7205 3439 7206 3440 7206 3437 7206 3441 7207 3437 7207 3440 7207 3442 7208 3439 7208 3437 7208 3436 7209 3442 7209 3437 7209 3438 7210 3437 7210 3441 7210 3443 7211 3444 7211 3440 7211 3441 7212 3440 7212 3444 7212 3445 7213 3440 7213 3439 7213 3445 7214 3446 7214 3440 7214 3443 7215 3440 7215 3446 7215 3447 7216 3448 7216 3444 7216 3449 7217 3444 7217 3448 7217 3443 7218 3447 7218 3444 7218 3441 7219 3444 7219 3449 7219 3450 7220 3451 7220 3448 7220 3449 7221 3448 7221 3451 7221 3452 7222 3450 7222 3448 7222 3447 7223 3452 7223 3448 7223 3453 7224 3451 7224 3450 7224 3449 7225 3451 7225 3453 7225 3452 7226 3454 7226 3450 7226 3455 7227 3450 7227 3454 7227 3453 7228 3450 7228 3456 7228 3457 7229 3456 7229 3450 7229 3455 7230 3458 7230 3450 7230 3457 7231 3450 7231 3458 7231 3459 7232 3454 7232 3452 7232 3460 7233 3455 7233 3454 7233 3460 7234 3454 7234 3461 7234 3462 7235 3461 7235 3454 7235 3459 7236 3462 7236 3454 7236 3463 7237 3464 7237 3452 7237 3465 7238 3452 7238 3464 7238 3447 7239 3463 7239 3452 7239 3465 7240 3459 7240 3452 7240 3445 7241 3439 7241 3464 7241 3466 7242 3464 7242 3439 7242 3467 7243 3445 7243 3464 7243 3463 7244 3467 7244 3464 7244 3466 7245 3465 7245 3464 7245 3468 7246 3469 7246 3439 7246 3466 7247 3439 7247 3469 7247 3442 7248 3468 7248 3439 7248 3470 7249 3433 7249 3469 7249 3471 7250 3469 7250 3433 7250 3468 7251 3470 7251 3469 7251 3466 7252 3469 7252 3471 7252 3472 7253 3433 7253 3432 7253 3470 7254 3434 7254 3433 7254 3472 7255 3471 7255 3433 7255 3435 7256 3473 7256 3432 7256 3472 7257 3432 7257 3473 7257 3474 7258 3475 7258 3473 7258 3476 7259 3473 7259 3475 7259 3435 7260 3474 7260 3473 7260 3476 7261 3472 7261 3473 7261 3477 7262 3478 7262 3475 7262 3476 7263 3475 7263 3478 7263 3474 7264 3477 7264 3475 7264 3426 7265 3409 7265 3478 7265 3479 7266 3478 7266 3409 7266 3426 7267 3478 7267 3477 7267 3479 7268 3476 7268 3478 7268 3479 7269 3409 7269 3408 7269 3480 7270 3408 7270 3411 7270 3480 7271 3479 7271 3408 7271 3480 7272 3411 7272 3398 7272 3402 7273 3480 7273 3398 7273 3481 7274 3405 7274 3412 7274 3482 7275 3415 7275 3405 7275 3482 7276 3405 7276 3481 7276 3483 7277 3412 7277 3410 7277 3481 7278 3412 7278 3483 7278 3484 7279 3410 7279 3419 7279 3483 7280 3410 7280 3484 7280 3485 7281 3419 7281 3422 7281 3484 7282 3419 7282 3485 7282 3486 7283 3422 7283 3415 7283 3486 7284 3485 7284 3422 7284 3486 7285 3415 7285 3482 7285 3487 7286 3477 7286 3474 7286 3488 7287 3426 7287 3477 7287 3488 7288 3477 7288 3487 7288 3489 7289 3474 7289 3435 7289 3487 7290 3474 7290 3489 7290 3490 7291 3435 7291 3427 7291 3489 7292 3435 7292 3490 7292 3491 7293 3427 7293 3423 7293 3490 7294 3427 7294 3491 7294 3492 7295 3423 7295 3426 7295 3492 7296 3491 7296 3423 7296 3492 7297 3426 7297 3488 7297 3493 7298 3434 7298 3470 7298 3494 7299 3429 7299 3434 7299 3494 7300 3434 7300 3493 7300 3495 7301 3470 7301 3468 7301 3493 7302 3470 7302 3495 7302 3496 7303 3468 7303 3442 7303 3495 7304 3468 7304 3496 7304 3497 7305 3442 7305 3436 7305 3496 7306 3442 7306 3497 7306 3498 7307 3436 7307 3429 7307 3498 7308 3497 7308 3436 7308 3498 7309 3429 7309 3494 7309 3499 7310 3446 7310 3445 7310 3500 7311 3443 7311 3446 7311 3500 7312 3446 7312 3499 7312 3501 7313 3445 7313 3467 7313 3499 7314 3445 7314 3501 7314 3502 7315 3467 7315 3463 7315 3501 7316 3467 7316 3502 7316 3503 7317 3463 7317 3447 7317 3502 7318 3463 7318 3503 7318 3504 7319 3447 7319 3443 7319 3504 7320 3503 7320 3447 7320 3504 7321 3443 7321 3500 7321 3505 7322 3506 7322 3507 7322 3508 7323 3507 7323 3506 7323 3509 7324 3507 7324 3413 7324 3510 7325 3413 7325 3507 7325 3511 7326 3505 7326 3507 7326 3511 7327 3507 7327 3509 7327 3512 7328 3510 7328 3507 7328 3508 7329 3512 7329 3507 7329 3513 7330 3514 7330 3506 7330 3515 7331 3506 7331 3514 7331 3516 7332 3506 7332 3505 7332 3517 7333 3513 7333 3506 7333 3518 7334 3517 7334 3506 7334 3516 7335 3518 7335 3506 7335 3519 7336 3506 7336 3515 7336 3508 7337 3506 7337 3519 7337 3453 7338 3456 7338 3514 7338 3457 7339 3514 7339 3456 7339 3520 7340 3453 7340 3514 7340 3521 7341 3520 7341 3514 7341 3522 7342 3521 7342 3514 7342 3522 7343 3514 7343 3513 7343 3515 7344 3514 7344 3457 7344 3520 7345 3449 7345 3453 7345 3523 7346 3441 7346 3449 7346 3520 7347 3524 7347 3449 7347 3525 7348 3449 7348 3524 7348 3525 7349 3523 7349 3449 7349 3526 7350 3438 7350 3441 7350 3527 7351 3441 7351 3528 7351 3529 7352 3528 7352 3441 7352 3527 7353 3526 7353 3441 7353 3523 7354 3530 7354 3441 7354 3529 7355 3441 7355 3530 7355 3531 7356 3431 7356 3438 7356 3532 7357 3531 7357 3438 7357 3533 7358 3532 7358 3438 7358 3526 7359 3533 7359 3438 7359 3534 7360 3425 7360 3431 7360 3535 7361 3431 7361 3531 7361 3536 7362 3534 7362 3431 7362 3537 7363 3536 7363 3431 7363 3535 7364 3537 7364 3431 7364 3538 7365 3421 7365 3425 7365 3539 7366 3540 7366 3425 7366 3541 7367 3425 7367 3540 7367 3534 7368 3539 7368 3425 7368 3542 7369 3538 7369 3425 7369 3543 7370 3542 7370 3425 7370 3541 7371 3543 7371 3425 7371 3538 7372 3417 7372 3421 7372 3540 7373 3407 7373 3417 7373 3541 7374 3540 7374 3417 7374 3544 7375 3545 7375 3417 7375 3541 7376 3417 7376 3545 7376 3538 7377 3544 7377 3417 7377 3546 7378 3413 7378 3407 7378 3540 7379 3546 7379 3407 7379 3546 7380 3547 7380 3413 7380 3548 7381 3413 7381 3547 7381 3549 7382 3509 7382 3413 7382 3548 7383 3549 7383 3413 7383 3550 7384 3414 7384 3413 7384 3510 7385 3550 7385 3413 7385 3548 7386 3547 7386 3551 7386 3552 7387 3551 7387 3547 7387 3553 7388 3551 7388 3505 7388 3554 7389 3505 7389 3551 7389 3553 7390 3548 7390 3551 7390 3554 7391 3551 7391 3552 7391 3555 7392 3547 7392 3546 7392 3555 7393 3552 7393 3547 7393 3556 7394 3546 7394 3540 7394 3555 7395 3546 7395 3556 7395 3557 7396 3540 7396 3539 7396 3556 7397 3540 7397 3557 7397 3535 7398 3531 7398 3539 7398 3558 7399 3539 7399 3531 7399 3534 7400 3559 7400 3539 7400 3560 7401 3539 7401 3559 7401 3560 7402 3535 7402 3539 7402 3557 7403 3539 7403 3558 7403 3561 7404 3562 7404 3531 7404 3563 7405 3531 7405 3562 7405 3561 7406 3531 7406 3532 7406 3558 7407 3531 7407 3563 7407 3564 7408 3528 7408 3562 7408 3565 7409 3562 7409 3528 7409 3561 7410 3564 7410 3562 7410 3563 7411 3562 7411 3565 7411 3566 7412 3524 7412 3528 7412 3567 7413 3528 7413 3524 7413 3564 7414 3527 7414 3528 7414 3529 7415 3566 7415 3528 7415 3565 7416 3528 7416 3567 7416 3568 7417 3524 7417 3520 7417 3569 7418 3525 7418 3524 7418 3566 7419 3569 7419 3524 7419 3567 7420 3524 7420 3568 7420 3570 7421 3520 7421 3521 7421 3568 7422 3520 7422 3570 7422 3516 7423 3505 7423 3521 7423 3571 7424 3521 7424 3505 7424 3572 7425 3516 7425 3521 7425 3522 7426 3572 7426 3521 7426 3570 7427 3521 7427 3571 7427 3573 7428 3553 7428 3505 7428 3511 7429 3573 7429 3505 7429 3571 7430 3505 7430 3554 7430 3481 7431 3545 7431 3544 7431 3483 7432 3541 7432 3545 7432 3481 7433 3483 7433 3545 7433 3482 7434 3544 7434 3538 7434 3482 7435 3481 7435 3544 7435 3486 7436 3538 7436 3542 7436 3486 7437 3482 7437 3538 7437 3485 7438 3542 7438 3543 7438 3486 7439 3542 7439 3485 7439 3484 7440 3543 7440 3541 7440 3484 7441 3485 7441 3543 7441 3483 7442 3484 7442 3541 7442 3487 7443 3559 7443 3534 7443 3489 7444 3560 7444 3559 7444 3487 7445 3489 7445 3559 7445 3488 7446 3534 7446 3536 7446 3488 7447 3487 7447 3534 7447 3492 7448 3536 7448 3537 7448 3492 7449 3488 7449 3536 7449 3491 7450 3537 7450 3535 7450 3492 7451 3537 7451 3491 7451 3490 7452 3535 7452 3560 7452 3490 7453 3491 7453 3535 7453 3489 7454 3490 7454 3560 7454 3493 7455 3532 7455 3533 7455 3495 7456 3561 7456 3532 7456 3493 7457 3495 7457 3532 7457 3494 7458 3533 7458 3526 7458 3494 7459 3493 7459 3533 7459 3498 7460 3526 7460 3527 7460 3498 7461 3494 7461 3526 7461 3497 7462 3527 7462 3564 7462 3498 7463 3527 7463 3497 7463 3496 7464 3564 7464 3561 7464 3496 7465 3497 7465 3564 7465 3495 7466 3496 7466 3561 7466 3499 7467 3530 7467 3523 7467 3501 7468 3529 7468 3530 7468 3499 7469 3501 7469 3530 7469 3500 7470 3523 7470 3525 7470 3500 7471 3499 7471 3523 7471 3504 7472 3525 7472 3569 7472 3504 7473 3500 7473 3525 7473 3503 7474 3569 7474 3566 7474 3504 7475 3569 7475 3503 7475 3502 7476 3566 7476 3529 7476 3502 7477 3503 7477 3566 7477 3501 7478 3502 7478 3529 7478 3574 7479 3509 7479 3549 7479 3575 7480 3511 7480 3509 7480 3574 7481 3575 7481 3509 7481 3576 7482 3549 7482 3548 7482 3576 7483 3574 7483 3549 7483 3577 7484 3548 7484 3553 7484 3577 7485 3576 7485 3548 7485 3578 7486 3553 7486 3573 7486 3577 7487 3553 7487 3578 7487 3579 7488 3573 7488 3511 7488 3579 7489 3578 7489 3573 7489 3575 7490 3579 7490 3511 7490 3580 7491 3513 7491 3517 7491 3581 7492 3522 7492 3513 7492 3580 7493 3581 7493 3513 7493 3582 7494 3517 7494 3518 7494 3582 7495 3580 7495 3517 7495 3583 7496 3518 7496 3516 7496 3583 7497 3582 7497 3518 7497 3584 7498 3516 7498 3572 7498 3583 7499 3516 7499 3584 7499 3585 7500 3572 7500 3522 7500 3585 7501 3584 7501 3572 7501 3581 7502 3585 7502 3522 7502 3510 7503 3414 7503 3550 7503 3401 7504 3414 7504 3510 7504 3401 7505 3510 7505 3512 7505 3508 7506 3586 7506 3512 7506 3587 7507 3512 7507 3586 7507 3588 7508 3401 7508 3512 7508 3588 7509 3512 7509 3587 7509 3519 7510 3589 7510 3586 7510 3403 7511 3586 7511 3589 7511 3508 7512 3519 7512 3586 7512 3590 7513 3586 7513 3403 7513 3591 7514 3587 7514 3586 7514 3590 7515 3591 7515 3586 7515 3515 7516 3592 7516 3589 7516 3593 7517 3589 7517 3592 7517 3519 7518 3515 7518 3589 7518 3403 7519 3589 7519 3593 7519 3515 7520 3594 7520 3592 7520 3595 7521 3592 7521 3594 7521 3596 7522 3593 7522 3592 7522 3597 7523 3592 7523 3595 7523 3597 7524 3596 7524 3592 7524 3457 7525 3598 7525 3594 7525 3460 7526 3594 7526 3598 7526 3515 7527 3457 7527 3594 7527 3599 7528 3594 7528 3460 7528 3599 7529 3595 7529 3594 7529 3457 7530 3458 7530 3598 7530 3460 7531 3598 7531 3458 7531 3460 7532 3458 7532 3455 7532 3600 7533 3601 7533 3404 7533 3402 7534 3404 7534 3601 7534 3602 7535 3601 7535 3600 7535 3555 7536 3402 7536 3601 7536 3552 7537 3601 7537 3602 7537 3555 7538 3601 7538 3552 7538 3403 7539 3600 7539 3404 7539 3593 7540 3603 7540 3600 7540 3602 7541 3600 7541 3603 7541 3403 7542 3593 7542 3600 7542 3593 7543 3461 7543 3603 7543 3602 7544 3603 7544 3461 7544 3593 7545 3460 7545 3461 7545 3462 7546 3602 7546 3461 7546 3604 7547 3460 7547 3593 7547 3605 7548 3599 7548 3460 7548 3604 7549 3605 7549 3460 7549 3596 7550 3604 7550 3593 7550 3606 7551 3403 7551 3401 7551 3606 7552 3590 7552 3403 7552 3607 7553 3606 7553 3401 7553 3588 7554 3607 7554 3401 7554 3565 7555 3471 7555 3472 7555 3567 7556 3466 7556 3471 7556 3565 7557 3567 7557 3471 7557 3563 7558 3472 7558 3476 7558 3563 7559 3565 7559 3472 7559 3558 7560 3476 7560 3479 7560 3558 7561 3563 7561 3476 7561 3556 7562 3479 7562 3480 7562 3557 7563 3558 7563 3479 7563 3556 7564 3557 7564 3479 7564 3555 7565 3480 7565 3402 7565 3555 7566 3556 7566 3480 7566 3554 7567 3602 7567 3462 7567 3554 7568 3552 7568 3602 7568 3571 7569 3462 7569 3459 7569 3571 7570 3554 7570 3462 7570 3568 7571 3459 7571 3465 7571 3570 7572 3571 7572 3459 7572 3568 7573 3570 7573 3459 7573 3567 7574 3465 7574 3466 7574 3567 7575 3568 7575 3465 7575 3574 7576 3587 7576 3591 7576 3576 7577 3588 7577 3587 7577 3576 7578 3587 7578 3574 7578 3575 7579 3591 7579 3590 7579 3574 7580 3591 7580 3575 7580 3579 7581 3590 7581 3606 7581 3575 7582 3590 7582 3579 7582 3578 7583 3606 7583 3607 7583 3579 7584 3606 7584 3578 7584 3577 7585 3607 7585 3588 7585 3577 7586 3578 7586 3607 7586 3577 7587 3588 7587 3576 7587 3580 7588 3595 7588 3599 7588 3582 7589 3597 7589 3595 7589 3582 7590 3595 7590 3580 7590 3581 7591 3599 7591 3605 7591 3580 7592 3599 7592 3581 7592 3585 7593 3605 7593 3604 7593 3581 7594 3605 7594 3585 7594 3584 7595 3604 7595 3596 7595 3585 7596 3604 7596 3584 7596 3583 7597 3596 7597 3597 7597 3583 7598 3584 7598 3596 7598 3583 7599 3597 7599 3582 7599 3608 7600 3609 7600 3610 7600 3611 7601 3610 7601 3609 7601 3612 7602 3610 7602 3613 7602 3614 7603 3613 7603 3610 7603 3608 7604 3610 7604 3612 7604 3611 7605 3614 7605 3610 7605 3615 7606 3616 7606 3609 7606 3617 7607 3609 7607 3616 7607 3618 7608 3615 7608 3609 7608 3608 7609 3618 7609 3609 7609 3617 7610 3611 7610 3609 7610 3619 7611 3613 7611 3616 7611 3620 7612 3616 7612 3613 7612 3615 7613 3619 7613 3616 7613 3617 7614 3616 7614 3620 7614 3621 7615 3612 7615 3613 7615 3619 7616 3621 7616 3613 7616 3614 7617 3620 7617 3613 7617 3622 7618 3612 7618 3621 7618 3623 7619 3608 7619 3612 7619 3622 7620 3623 7620 3612 7620 3619 7621 3624 7621 3621 7621 3625 7622 3621 7622 3624 7622 3626 7623 3621 7623 3625 7623 3622 7624 3621 7624 3626 7624 3627 7625 3624 7625 3619 7625 3625 7626 3624 7626 3627 7626 3628 7627 3619 7627 3615 7627 3627 7628 3619 7628 3628 7628 3629 7629 3615 7629 3618 7629 3629 7630 3628 7630 3615 7630 3608 7631 3630 7631 3618 7631 3631 7632 3618 7632 3630 7632 3631 7633 3632 7633 3618 7633 3629 7634 3618 7634 3632 7634 3633 7635 3630 7635 3608 7635 3631 7636 3630 7636 3633 7636 3633 7637 3608 7637 3623 7637 3634 7638 3620 7638 3614 7638 3634 7639 3635 7639 3620 7639 3617 7640 3620 7640 3635 7640 3636 7641 3614 7641 3611 7641 3636 7642 3634 7642 3614 7642 3636 7643 3611 7643 3637 7643 3617 7644 3637 7644 3611 7644 3617 7645 3635 7645 3637 7645 3638 7646 3637 7646 3635 7646 3639 7647 3636 7647 3637 7647 3638 7648 3639 7648 3637 7648 3640 7649 3635 7649 3634 7649 3640 7650 3638 7650 3635 7650 3641 7651 3634 7651 3636 7651 3640 7652 3634 7652 3641 7652 3639 7653 3641 7653 3636 7653 3638 7654 3641 7654 3639 7654 3640 7655 3641 7655 3638 7655 3642 7656 3643 7656 3644 7656 3645 7657 3644 7657 3643 7657 3646 7658 3644 7658 3647 7658 3648 7659 3647 7659 3644 7659 3646 7660 3649 7660 3644 7660 3642 7661 3644 7661 3649 7661 3648 7662 3644 7662 3645 7662 3650 7663 3651 7663 3643 7663 3652 7664 3643 7664 3651 7664 3642 7665 3650 7665 3643 7665 3652 7666 3645 7666 3643 7666 3653 7667 3651 7667 3650 7667 3652 7668 3651 7668 3653 7668 3654 7669 3655 7669 3650 7669 3656 7670 3650 7670 3655 7670 3642 7671 3654 7671 3650 7671 3653 7672 3650 7672 3656 7672 3657 7673 3658 7673 3655 7673 3659 7674 3655 7674 3658 7674 3660 7675 3657 7675 3655 7675 3654 7676 3660 7676 3655 7676 3656 7677 3655 7677 3659 7677 3647 7678 3661 7678 3658 7678 3662 7679 3658 7679 3661 7679 3657 7680 3647 7680 3658 7680 3659 7681 3658 7681 3662 7681 3663 7682 3661 7682 3647 7682 3662 7683 3661 7683 3663 7683 3657 7684 3646 7684 3647 7684 3663 7685 3647 7685 3648 7685 3664 7686 3649 7686 3646 7686 3665 7687 3642 7687 3649 7687 3664 7688 3665 7688 3649 7688 3666 7689 3646 7689 3657 7689 3664 7690 3646 7690 3666 7690 3667 7691 3657 7691 3660 7691 3666 7692 3657 7692 3667 7692 3668 7693 3660 7693 3654 7693 3667 7694 3660 7694 3668 7694 3669 7695 3654 7695 3642 7695 3668 7696 3654 7696 3669 7696 3669 7697 3642 7697 3665 7697 3625 7698 3648 7698 3645 7698 3626 7699 3625 7699 3645 7699 3652 7700 3626 7700 3645 7700 3627 7701 3663 7701 3648 7701 3625 7702 3627 7702 3648 7702 3628 7703 3662 7703 3663 7703 3627 7704 3628 7704 3663 7704 3632 7705 3659 7705 3662 7705 3628 7706 3632 7706 3662 7706 3631 7707 3659 7707 3632 7707 3656 7708 3659 7708 3631 7708 3629 7709 3632 7709 3628 7709 3652 7710 3623 7710 3626 7710 3622 7711 3626 7711 3623 7711 3653 7712 3633 7712 3623 7712 3652 7713 3653 7713 3623 7713 3656 7714 3631 7714 3633 7714 3653 7715 3656 7715 3633 7715 3668 7716 3669 7716 3665 7716 3664 7717 3668 7717 3665 7717 3664 7718 3667 7718 3668 7718 3664 7719 3666 7719 3667 7719 3670 7720 3671 7720 3672 7720 3673 7721 3672 7721 3671 7721 3674 7722 3672 7722 3675 7722 3676 7723 3675 7723 3672 7723 3670 7724 3672 7724 3674 7724 3673 7725 3676 7725 3672 7725 3677 7726 3678 7726 3671 7726 3679 7727 3671 7727 3678 7727 3680 7728 3677 7728 3671 7728 3670 7729 3680 7729 3671 7729 3679 7730 3673 7730 3671 7730 3681 7731 3675 7731 3678 7731 3682 7732 3678 7732 3675 7732 3677 7733 3681 7733 3678 7733 3679 7734 3678 7734 3682 7734 3683 7735 3674 7735 3675 7735 3681 7736 3683 7736 3675 7736 3676 7737 3682 7737 3675 7737 3684 7738 3674 7738 3683 7738 3685 7739 3670 7739 3674 7739 3684 7740 3685 7740 3674 7740 3681 7741 3686 7741 3683 7741 3687 7742 3683 7742 3686 7742 3688 7743 3683 7743 3687 7743 3684 7744 3683 7744 3688 7744 3689 7745 3686 7745 3681 7745 3687 7746 3686 7746 3689 7746 3690 7747 3681 7747 3677 7747 3689 7748 3681 7748 3690 7748 3691 7749 3677 7749 3680 7749 3691 7750 3690 7750 3677 7750 3670 7751 3692 7751 3680 7751 3693 7752 3680 7752 3692 7752 3693 7753 3694 7753 3680 7753 3691 7754 3680 7754 3694 7754 3695 7755 3692 7755 3670 7755 3693 7756 3692 7756 3695 7756 3695 7757 3670 7757 3685 7757 3696 7758 3682 7758 3676 7758 3696 7759 3697 7759 3682 7759 3679 7760 3682 7760 3697 7760 3698 7761 3676 7761 3673 7761 3698 7762 3696 7762 3676 7762 3698 7763 3673 7763 3699 7763 3679 7764 3699 7764 3673 7764 3679 7765 3697 7765 3699 7765 3700 7766 3699 7766 3697 7766 3701 7767 3698 7767 3699 7767 3700 7768 3701 7768 3699 7768 3702 7769 3697 7769 3696 7769 3702 7770 3700 7770 3697 7770 3703 7771 3696 7771 3698 7771 3702 7772 3696 7772 3703 7772 3701 7773 3703 7773 3698 7773 3700 7774 3703 7774 3701 7774 3702 7775 3703 7775 3700 7775 3704 7776 3705 7776 3706 7776 3707 7777 3706 7777 3705 7777 3708 7778 3706 7778 3709 7778 3710 7779 3709 7779 3706 7779 3708 7780 3711 7780 3706 7780 3704 7781 3706 7781 3711 7781 3710 7782 3706 7782 3707 7782 3712 7783 3713 7783 3705 7783 3714 7784 3705 7784 3713 7784 3704 7785 3712 7785 3705 7785 3714 7786 3707 7786 3705 7786 3715 7787 3713 7787 3712 7787 3714 7788 3713 7788 3715 7788 3716 7789 3717 7789 3712 7789 3718 7790 3712 7790 3717 7790 3704 7791 3716 7791 3712 7791 3715 7792 3712 7792 3718 7792 3719 7793 3720 7793 3717 7793 3721 7794 3717 7794 3720 7794 3722 7795 3719 7795 3717 7795 3716 7796 3722 7796 3717 7796 3718 7797 3717 7797 3721 7797 3709 7798 3723 7798 3720 7798 3724 7799 3720 7799 3723 7799 3719 7800 3709 7800 3720 7800 3721 7801 3720 7801 3724 7801 3725 7802 3723 7802 3709 7802 3724 7803 3723 7803 3725 7803 3719 7804 3708 7804 3709 7804 3725 7805 3709 7805 3710 7805 3726 7806 3711 7806 3708 7806 3727 7807 3704 7807 3711 7807 3726 7808 3727 7808 3711 7808 3728 7809 3708 7809 3719 7809 3726 7810 3708 7810 3728 7810 3729 7811 3719 7811 3722 7811 3728 7812 3719 7812 3729 7812 3730 7813 3722 7813 3716 7813 3729 7814 3722 7814 3730 7814 3731 7815 3716 7815 3704 7815 3730 7816 3716 7816 3731 7816 3731 7817 3704 7817 3727 7817 3687 7818 3710 7818 3707 7818 3688 7819 3687 7819 3707 7819 3714 7820 3688 7820 3707 7820 3689 7821 3725 7821 3710 7821 3687 7822 3689 7822 3710 7822 3690 7823 3724 7823 3725 7823 3689 7824 3690 7824 3725 7824 3694 7825 3721 7825 3724 7825 3690 7826 3694 7826 3724 7826 3693 7827 3721 7827 3694 7827 3718 7828 3721 7828 3693 7828 3691 7829 3694 7829 3690 7829 3714 7830 3685 7830 3688 7830 3684 7831 3688 7831 3685 7831 3715 7832 3695 7832 3685 7832 3714 7833 3715 7833 3685 7833 3718 7834 3693 7834 3695 7834 3715 7835 3718 7835 3695 7835 3730 7836 3731 7836 3727 7836 3726 7837 3730 7837 3727 7837 3726 7838 3729 7838 3730 7838 3726 7839 3728 7839 3729 7839 3732 7840 3733 7840 3734 7840 3735 7841 3734 7841 3733 7841 3736 7842 3734 7842 3737 7842 3738 7843 3737 7843 3734 7843 3732 7844 3734 7844 3736 7844 3735 7845 3738 7845 3734 7845 3739 7846 3740 7846 3733 7846 3741 7847 3733 7847 3740 7847 3742 7848 3739 7848 3733 7848 3732 7849 3742 7849 3733 7849 3741 7850 3735 7850 3733 7850 3743 7851 3737 7851 3740 7851 3744 7852 3740 7852 3737 7852 3739 7853 3743 7853 3740 7853 3741 7854 3740 7854 3744 7854 3745 7855 3736 7855 3737 7855 3743 7856 3745 7856 3737 7856 3738 7857 3744 7857 3737 7857 3746 7858 3736 7858 3745 7858 3747 7859 3732 7859 3736 7859 3746 7860 3747 7860 3736 7860 3743 7861 3748 7861 3745 7861 3749 7862 3745 7862 3748 7862 3750 7863 3745 7863 3749 7863 3746 7864 3745 7864 3750 7864 3751 7865 3748 7865 3743 7865 3749 7866 3748 7866 3751 7866 3752 7867 3743 7867 3739 7867 3751 7868 3743 7868 3752 7868 3753 7869 3739 7869 3742 7869 3753 7870 3752 7870 3739 7870 3732 7871 3754 7871 3742 7871 3755 7872 3742 7872 3754 7872 3755 7873 3756 7873 3742 7873 3753 7874 3742 7874 3756 7874 3757 7875 3754 7875 3732 7875 3755 7876 3754 7876 3757 7876 3757 7877 3732 7877 3747 7877 3758 7878 3744 7878 3738 7878 3758 7879 3759 7879 3744 7879 3741 7880 3744 7880 3759 7880 3760 7881 3738 7881 3735 7881 3760 7882 3758 7882 3738 7882 3760 7883 3735 7883 3761 7883 3741 7884 3761 7884 3735 7884 3741 7885 3759 7885 3761 7885 3762 7886 3761 7886 3759 7886 3763 7887 3760 7887 3761 7887 3762 7888 3763 7888 3761 7888 3764 7889 3759 7889 3758 7889 3764 7890 3762 7890 3759 7890 3765 7891 3758 7891 3760 7891 3764 7892 3758 7892 3765 7892 3763 7893 3765 7893 3760 7893 3762 7894 3765 7894 3763 7894 3764 7895 3765 7895 3762 7895 3766 7896 3767 7896 3768 7896 3769 7897 3768 7897 3767 7897 3770 7898 3766 7898 3768 7898 3770 7899 3768 7899 3769 7899 3771 7900 3772 7900 3767 7900 3773 7901 3767 7901 3772 7901 3774 7902 3767 7902 3766 7902 3774 7903 3775 7903 3767 7903 3771 7904 3767 7904 3775 7904 3773 7905 3769 7905 3767 7905 3776 7906 3777 7906 3772 7906 3778 7907 3772 7907 3777 7907 3771 7908 3776 7908 3772 7908 3773 7909 3772 7909 3778 7909 3779 7910 3780 7910 3777 7910 3781 7911 3777 7911 3780 7911 3776 7912 3779 7912 3777 7912 3778 7913 3777 7913 3781 7913 3782 7914 3780 7914 3779 7914 3781 7915 3780 7915 3782 7915 3783 7916 3784 7916 3779 7916 3785 7917 3779 7917 3784 7917 3786 7918 3783 7918 3779 7918 3776 7919 3786 7919 3779 7919 3782 7920 3779 7920 3785 7920 3774 7921 3766 7921 3784 7921 3787 7922 3784 7922 3766 7922 3783 7923 3774 7923 3784 7923 3785 7924 3784 7924 3787 7924 3787 7925 3766 7925 3770 7925 3788 7926 3775 7926 3774 7926 3789 7927 3771 7927 3775 7927 3788 7928 3789 7928 3775 7928 3790 7929 3774 7929 3783 7929 3788 7930 3774 7930 3790 7930 3791 7931 3783 7931 3786 7931 3790 7932 3783 7932 3791 7932 3792 7933 3786 7933 3776 7933 3791 7934 3786 7934 3792 7934 3793 7935 3776 7935 3771 7935 3792 7936 3776 7936 3793 7936 3793 7937 3771 7937 3789 7937 3749 7938 3770 7938 3769 7938 3750 7939 3749 7939 3769 7939 3773 7940 3750 7940 3769 7940 3751 7941 3787 7941 3770 7941 3749 7942 3751 7942 3770 7942 3752 7943 3785 7943 3787 7943 3751 7944 3752 7944 3787 7944 3756 7945 3782 7945 3785 7945 3752 7946 3756 7946 3785 7946 3755 7947 3782 7947 3756 7947 3781 7948 3782 7948 3755 7948 3753 7949 3756 7949 3752 7949 3773 7950 3747 7950 3750 7950 3746 7951 3750 7951 3747 7951 3778 7952 3757 7952 3747 7952 3773 7953 3778 7953 3747 7953 3781 7954 3755 7954 3757 7954 3778 7955 3781 7955 3757 7955 3792 7956 3793 7956 3789 7956 3788 7957 3792 7957 3789 7957 3788 7958 3791 7958 3792 7958 3788 7959 3790 7959 3791 7959 3794 7960 3795 7960 3796 7960 3797 7961 3796 7961 3795 7961 3798 7962 3796 7962 3799 7962 3800 7963 3799 7963 3796 7963 3794 7964 3796 7964 3798 7964 3797 7965 3800 7965 3796 7965 3801 7966 3802 7966 3795 7966 3803 7967 3795 7967 3802 7967 3804 7968 3801 7968 3795 7968 3794 7969 3804 7969 3795 7969 3803 7970 3797 7970 3795 7970 3805 7971 3799 7971 3802 7971 3806 7972 3802 7972 3799 7972 3801 7973 3805 7973 3802 7973 3803 7974 3802 7974 3806 7974 3807 7975 3798 7975 3799 7975 3805 7976 3807 7976 3799 7976 3800 7977 3806 7977 3799 7977 3808 7978 3798 7978 3807 7978 3809 7979 3794 7979 3798 7979 3808 7980 3809 7980 3798 7980 3805 7981 3810 7981 3807 7981 3811 7982 3807 7982 3810 7982 3812 7983 3807 7983 3811 7983 3808 7984 3807 7984 3812 7984 3813 7985 3810 7985 3805 7985 3811 7986 3810 7986 3813 7986 3814 7987 3805 7987 3801 7987 3813 7988 3805 7988 3814 7988 3815 7989 3801 7989 3804 7989 3815 7990 3814 7990 3801 7990 3794 7991 3816 7991 3804 7991 3817 7992 3804 7992 3816 7992 3817 7993 3818 7993 3804 7993 3815 7994 3804 7994 3818 7994 3819 7995 3816 7995 3794 7995 3817 7996 3816 7996 3819 7996 3819 7997 3794 7997 3809 7997 3820 7998 3806 7998 3800 7998 3820 7999 3821 7999 3806 7999 3803 8000 3806 8000 3821 8000 3822 8001 3800 8001 3797 8001 3822 8002 3820 8002 3800 8002 3822 8003 3797 8003 3823 8003 3803 8004 3823 8004 3797 8004 3803 8005 3821 8005 3823 8005 3824 8006 3823 8006 3821 8006 3825 8007 3822 8007 3823 8007 3824 8008 3825 8008 3823 8008 3826 8009 3821 8009 3820 8009 3826 8010 3824 8010 3821 8010 3827 8011 3820 8011 3822 8011 3826 8012 3820 8012 3827 8012 3825 8013 3827 8013 3822 8013 3824 8014 3827 8014 3825 8014 3826 8015 3827 8015 3824 8015 3828 8016 3829 8016 3830 8016 3831 8017 3830 8017 3829 8017 3832 8018 3828 8018 3830 8018 3832 8019 3830 8019 3831 8019 3833 8020 3834 8020 3829 8020 3835 8021 3829 8021 3834 8021 3836 8022 3829 8022 3828 8022 3836 8023 3837 8023 3829 8023 3833 8024 3829 8024 3837 8024 3835 8025 3831 8025 3829 8025 3838 8026 3839 8026 3834 8026 3840 8027 3834 8027 3839 8027 3833 8028 3838 8028 3834 8028 3835 8029 3834 8029 3840 8029 3841 8030 3842 8030 3839 8030 3843 8031 3839 8031 3842 8031 3838 8032 3841 8032 3839 8032 3840 8033 3839 8033 3843 8033 3844 8034 3842 8034 3841 8034 3843 8035 3842 8035 3844 8035 3845 8036 3846 8036 3841 8036 3847 8037 3841 8037 3846 8037 3848 8038 3845 8038 3841 8038 3838 8039 3848 8039 3841 8039 3844 8040 3841 8040 3847 8040 3836 8041 3828 8041 3846 8041 3849 8042 3846 8042 3828 8042 3845 8043 3836 8043 3846 8043 3847 8044 3846 8044 3849 8044 3849 8045 3828 8045 3832 8045 3850 8046 3837 8046 3836 8046 3851 8047 3833 8047 3837 8047 3850 8048 3851 8048 3837 8048 3852 8049 3836 8049 3845 8049 3850 8050 3836 8050 3852 8050 3853 8051 3845 8051 3848 8051 3852 8052 3845 8052 3853 8052 3854 8053 3848 8053 3838 8053 3853 8054 3848 8054 3854 8054 3855 8055 3838 8055 3833 8055 3854 8056 3838 8056 3855 8056 3855 8057 3833 8057 3851 8057 3811 8058 3832 8058 3831 8058 3812 8059 3811 8059 3831 8059 3835 8060 3812 8060 3831 8060 3813 8061 3849 8061 3832 8061 3811 8062 3813 8062 3832 8062 3814 8063 3847 8063 3849 8063 3813 8064 3814 8064 3849 8064 3818 8065 3844 8065 3847 8065 3814 8066 3818 8066 3847 8066 3817 8067 3844 8067 3818 8067 3843 8068 3844 8068 3817 8068 3815 8069 3818 8069 3814 8069 3835 8070 3809 8070 3812 8070 3808 8071 3812 8071 3809 8071 3840 8072 3819 8072 3809 8072 3835 8073 3840 8073 3809 8073 3843 8074 3817 8074 3819 8074 3840 8075 3843 8075 3819 8075 3854 8076 3855 8076 3851 8076 3850 8077 3854 8077 3851 8077 3850 8078 3853 8078 3854 8078 3850 8079 3852 8079 3853 8079 3856 8080 3857 8080 3858 8080 3859 8081 3858 8081 3857 8081 3860 8082 3858 8082 3861 8082 3862 8083 3861 8083 3858 8083 3856 8084 3858 8084 3860 8084 3859 8085 3862 8085 3858 8085 3863 8086 3864 8086 3857 8086 3865 8087 3857 8087 3864 8087 3866 8088 3863 8088 3857 8088 3856 8089 3866 8089 3857 8089 3865 8090 3859 8090 3857 8090 3867 8091 3861 8091 3864 8091 3868 8092 3864 8092 3861 8092 3863 8093 3867 8093 3864 8093 3865 8094 3864 8094 3868 8094 3869 8095 3860 8095 3861 8095 3867 8096 3869 8096 3861 8096 3862 8097 3868 8097 3861 8097 3870 8098 3860 8098 3869 8098 3871 8099 3856 8099 3860 8099 3870 8100 3871 8100 3860 8100 3867 8101 3872 8101 3869 8101 3873 8102 3869 8102 3872 8102 3874 8103 3869 8103 3873 8103 3870 8104 3869 8104 3874 8104 3875 8105 3872 8105 3867 8105 3873 8106 3872 8106 3875 8106 3876 8107 3867 8107 3863 8107 3875 8108 3867 8108 3876 8108 3877 8109 3863 8109 3866 8109 3877 8110 3876 8110 3863 8110 3856 8111 3878 8111 3866 8111 3879 8112 3866 8112 3878 8112 3879 8113 3880 8113 3866 8113 3877 8114 3866 8114 3880 8114 3881 8115 3878 8115 3856 8115 3879 8116 3878 8116 3881 8116 3881 8117 3856 8117 3871 8117 3882 8118 3868 8118 3862 8118 3882 8119 3883 8119 3868 8119 3865 8120 3868 8120 3883 8120 3884 8121 3862 8121 3859 8121 3884 8122 3882 8122 3862 8122 3884 8123 3859 8123 3885 8123 3865 8124 3885 8124 3859 8124 3865 8125 3883 8125 3885 8125 3886 8126 3885 8126 3883 8126 3887 8127 3884 8127 3885 8127 3886 8128 3887 8128 3885 8128 3888 8129 3883 8129 3882 8129 3888 8130 3886 8130 3883 8130 3889 8131 3882 8131 3884 8131 3888 8132 3882 8132 3889 8132 3887 8133 3889 8133 3884 8133 3886 8134 3889 8134 3887 8134 3888 8135 3889 8135 3886 8135 3890 8136 3891 8136 3892 8136 3893 8137 3892 8137 3891 8137 3894 8138 3890 8138 3892 8138 3894 8139 3892 8139 3893 8139 3895 8140 3896 8140 3891 8140 3897 8141 3891 8141 3896 8141 3898 8142 3891 8142 3890 8142 3898 8143 3899 8143 3891 8143 3895 8144 3891 8144 3899 8144 3897 8145 3893 8145 3891 8145 3900 8146 3901 8146 3896 8146 3902 8147 3896 8147 3901 8147 3895 8148 3900 8148 3896 8148 3897 8149 3896 8149 3902 8149 3903 8150 3904 8150 3901 8150 3905 8151 3901 8151 3904 8151 3900 8152 3903 8152 3901 8152 3902 8153 3901 8153 3905 8153 3906 8154 3904 8154 3903 8154 3905 8155 3904 8155 3906 8155 3907 8156 3908 8156 3903 8156 3909 8157 3903 8157 3908 8157 3910 8158 3907 8158 3903 8158 3900 8159 3910 8159 3903 8159 3906 8160 3903 8160 3909 8160 3898 8161 3890 8161 3908 8161 3911 8162 3908 8162 3890 8162 3907 8163 3898 8163 3908 8163 3909 8164 3908 8164 3911 8164 3911 8165 3890 8165 3894 8165 3912 8166 3899 8166 3898 8166 3913 8167 3895 8167 3899 8167 3912 8168 3913 8168 3899 8168 3914 8169 3898 8169 3907 8169 3912 8170 3898 8170 3914 8170 3915 8171 3907 8171 3910 8171 3914 8172 3907 8172 3915 8172 3916 8173 3910 8173 3900 8173 3915 8174 3910 8174 3916 8174 3917 8175 3900 8175 3895 8175 3916 8176 3900 8176 3917 8176 3917 8177 3895 8177 3913 8177 3873 8178 3894 8178 3893 8178 3874 8179 3873 8179 3893 8179 3897 8180 3874 8180 3893 8180 3875 8181 3911 8181 3894 8181 3873 8182 3875 8182 3894 8182 3876 8183 3909 8183 3911 8183 3875 8184 3876 8184 3911 8184 3880 8185 3906 8185 3909 8185 3876 8186 3880 8186 3909 8186 3879 8187 3906 8187 3880 8187 3905 8188 3906 8188 3879 8188 3877 8189 3880 8189 3876 8189 3897 8190 3871 8190 3874 8190 3870 8191 3874 8191 3871 8191 3902 8192 3881 8192 3871 8192 3897 8193 3902 8193 3871 8193 3905 8194 3879 8194 3881 8194 3902 8195 3905 8195 3881 8195 3916 8196 3917 8196 3913 8196 3912 8197 3916 8197 3913 8197 3912 8198 3915 8198 3916 8198 3912 8199 3914 8199 3915 8199 3918 8200 3919 8200 3920 8200 3921 8201 3920 8201 3919 8201 3922 8202 3920 8202 3923 8202 3924 8203 3923 8203 3920 8203 3918 8204 3920 8204 3922 8204 3921 8205 3924 8205 3920 8205 3925 8206 3926 8206 3919 8206 3927 8207 3919 8207 3926 8207 3928 8208 3925 8208 3919 8208 3918 8209 3928 8209 3919 8209 3927 8210 3921 8210 3919 8210 3929 8211 3923 8211 3926 8211 3930 8212 3926 8212 3923 8212 3925 8213 3929 8213 3926 8213 3927 8214 3926 8214 3930 8214 3931 8215 3922 8215 3923 8215 3929 8216 3931 8216 3923 8216 3924 8217 3930 8217 3923 8217 3932 8218 3922 8218 3931 8218 3933 8219 3918 8219 3922 8219 3932 8220 3933 8220 3922 8220 3929 8221 3934 8221 3931 8221 3935 8222 3931 8222 3934 8222 3936 8223 3931 8223 3935 8223 3932 8224 3931 8224 3936 8224 3937 8225 3934 8225 3929 8225 3935 8226 3934 8226 3937 8226 3938 8227 3929 8227 3925 8227 3937 8228 3929 8228 3938 8228 3939 8229 3925 8229 3928 8229 3939 8230 3938 8230 3925 8230 3918 8231 3940 8231 3928 8231 3941 8232 3928 8232 3940 8232 3941 8233 3942 8233 3928 8233 3939 8234 3928 8234 3942 8234 3943 8235 3940 8235 3918 8235 3941 8236 3940 8236 3943 8236 3943 8237 3918 8237 3933 8237 3944 8238 3930 8238 3924 8238 3944 8239 3945 8239 3930 8239 3927 8240 3930 8240 3945 8240 3946 8241 3924 8241 3921 8241 3946 8242 3944 8242 3924 8242 3946 8243 3921 8243 3947 8243 3927 8244 3947 8244 3921 8244 3927 8245 3945 8245 3947 8245 3948 8246 3947 8246 3945 8246 3949 8247 3946 8247 3947 8247 3948 8248 3949 8248 3947 8248 3950 8249 3945 8249 3944 8249 3950 8250 3948 8250 3945 8250 3951 8251 3944 8251 3946 8251 3950 8252 3944 8252 3951 8252 3949 8253 3951 8253 3946 8253 3948 8254 3951 8254 3949 8254 3950 8255 3951 8255 3948 8255 3952 8256 3953 8256 3954 8256 3955 8257 3954 8257 3953 8257 3956 8258 3952 8258 3954 8258 3956 8259 3954 8259 3955 8259 3957 8260 3958 8260 3953 8260 3959 8261 3953 8261 3958 8261 3960 8262 3953 8262 3952 8262 3960 8263 3961 8263 3953 8263 3957 8264 3953 8264 3961 8264 3959 8265 3955 8265 3953 8265 3962 8266 3963 8266 3958 8266 3964 8267 3958 8267 3963 8267 3957 8268 3962 8268 3958 8268 3959 8269 3958 8269 3964 8269 3965 8270 3966 8270 3963 8270 3967 8271 3963 8271 3966 8271 3962 8272 3965 8272 3963 8272 3964 8273 3963 8273 3967 8273 3968 8274 3966 8274 3965 8274 3967 8275 3966 8275 3968 8275 3969 8276 3970 8276 3965 8276 3971 8277 3965 8277 3970 8277 3972 8278 3969 8278 3965 8278 3962 8279 3972 8279 3965 8279 3968 8280 3965 8280 3971 8280 3960 8281 3952 8281 3970 8281 3973 8282 3970 8282 3952 8282 3969 8283 3960 8283 3970 8283 3971 8284 3970 8284 3973 8284 3973 8285 3952 8285 3956 8285 3974 8286 3961 8286 3960 8286 3975 8287 3957 8287 3961 8287 3974 8288 3975 8288 3961 8288 3976 8289 3960 8289 3969 8289 3974 8290 3960 8290 3976 8290 3977 8291 3969 8291 3972 8291 3976 8292 3969 8292 3977 8292 3978 8293 3972 8293 3962 8293 3977 8294 3972 8294 3978 8294 3979 8295 3962 8295 3957 8295 3978 8296 3962 8296 3979 8296 3979 8297 3957 8297 3975 8297 3935 8298 3956 8298 3955 8298 3936 8299 3935 8299 3955 8299 3959 8300 3936 8300 3955 8300 3937 8301 3973 8301 3956 8301 3935 8302 3937 8302 3956 8302 3938 8303 3971 8303 3973 8303 3937 8304 3938 8304 3973 8304 3942 8305 3968 8305 3971 8305 3938 8306 3942 8306 3971 8306 3941 8307 3968 8307 3942 8307 3967 8308 3968 8308 3941 8308 3939 8309 3942 8309 3938 8309 3959 8310 3933 8310 3936 8310 3932 8311 3936 8311 3933 8311 3964 8312 3943 8312 3933 8312 3959 8313 3964 8313 3933 8313 3967 8314 3941 8314 3943 8314 3964 8315 3967 8315 3943 8315 3978 8316 3979 8316 3975 8316 3974 8317 3978 8317 3975 8317 3974 8318 3977 8318 3978 8318 3974 8319 3976 8319 3977 8319 3980 8320 3981 8320 3982 8320 3983 8321 3982 8321 3981 8321 3984 8322 3982 8322 3985 8322 3986 8323 3985 8323 3982 8323 3980 8324 3982 8324 3984 8324 3983 8325 3986 8325 3982 8325 3987 8326 3988 8326 3981 8326 3989 8327 3981 8327 3988 8327 3990 8328 3987 8328 3981 8328 3980 8329 3990 8329 3981 8329 3989 8330 3983 8330 3981 8330 3991 8331 3985 8331 3988 8331 3992 8332 3988 8332 3985 8332 3987 8333 3991 8333 3988 8333 3989 8334 3988 8334 3992 8334 3993 8335 3984 8335 3985 8335 3991 8336 3993 8336 3985 8336 3986 8337 3992 8337 3985 8337 3994 8338 3984 8338 3993 8338 3995 8339 3980 8339 3984 8339 3994 8340 3995 8340 3984 8340 3991 8341 3996 8341 3993 8341 3997 8342 3993 8342 3996 8342 3998 8343 3993 8343 3997 8343 3994 8344 3993 8344 3998 8344 3999 8345 3996 8345 3991 8345 3997 8346 3996 8346 3999 8346 4000 8347 3991 8347 3987 8347 3999 8348 3991 8348 4000 8348 4001 8349 3987 8349 3990 8349 4001 8350 4000 8350 3987 8350 3980 8351 4002 8351 3990 8351 4003 8352 3990 8352 4002 8352 4003 8353 4004 8353 3990 8353 4001 8354 3990 8354 4004 8354 4005 8355 4002 8355 3980 8355 4003 8356 4002 8356 4005 8356 4005 8357 3980 8357 3995 8357 4006 8358 3992 8358 3986 8358 4006 8359 4007 8359 3992 8359 3989 8360 3992 8360 4007 8360 4008 8361 3986 8361 3983 8361 4008 8362 4006 8362 3986 8362 4008 8363 3983 8363 4009 8363 3989 8364 4009 8364 3983 8364 3989 8365 4007 8365 4009 8365 4010 8366 4009 8366 4007 8366 4011 8367 4008 8367 4009 8367 4010 8368 4011 8368 4009 8368 4012 8369 4007 8369 4006 8369 4012 8370 4010 8370 4007 8370 4013 8371 4006 8371 4008 8371 4012 8372 4006 8372 4013 8372 4011 8373 4013 8373 4008 8373 4010 8374 4013 8374 4011 8374 4012 8375 4013 8375 4010 8375 4014 8376 4015 8376 4016 8376 4017 8377 4016 8377 4015 8377 4018 8378 4014 8378 4016 8378 4018 8379 4016 8379 4017 8379 4019 8380 4020 8380 4015 8380 4021 8381 4015 8381 4020 8381 4022 8382 4015 8382 4014 8382 4022 8383 4023 8383 4015 8383 4019 8384 4015 8384 4023 8384 4021 8385 4017 8385 4015 8385 4024 8386 4025 8386 4020 8386 4026 8387 4020 8387 4025 8387 4019 8388 4024 8388 4020 8388 4021 8389 4020 8389 4026 8389 4027 8390 4028 8390 4025 8390 4029 8391 4025 8391 4028 8391 4024 8392 4027 8392 4025 8392 4026 8393 4025 8393 4029 8393 4030 8394 4028 8394 4027 8394 4029 8395 4028 8395 4030 8395 4031 8396 4032 8396 4027 8396 4033 8397 4027 8397 4032 8397 4034 8398 4031 8398 4027 8398 4024 8399 4034 8399 4027 8399 4030 8400 4027 8400 4033 8400 4022 8401 4014 8401 4032 8401 4035 8402 4032 8402 4014 8402 4031 8403 4022 8403 4032 8403 4033 8404 4032 8404 4035 8404 4035 8405 4014 8405 4018 8405 4036 8406 4023 8406 4022 8406 4037 8407 4019 8407 4023 8407 4036 8408 4037 8408 4023 8408 4038 8409 4022 8409 4031 8409 4036 8410 4022 8410 4038 8410 4039 8411 4031 8411 4034 8411 4038 8412 4031 8412 4039 8412 4040 8413 4034 8413 4024 8413 4039 8414 4034 8414 4040 8414 4041 8415 4024 8415 4019 8415 4040 8416 4024 8416 4041 8416 4041 8417 4019 8417 4037 8417 3997 8418 4018 8418 4017 8418 3998 8419 3997 8419 4017 8419 4021 8420 3998 8420 4017 8420 3999 8421 4035 8421 4018 8421 3997 8422 3999 8422 4018 8422 4000 8423 4033 8423 4035 8423 3999 8424 4000 8424 4035 8424 4004 8425 4030 8425 4033 8425 4000 8426 4004 8426 4033 8426 4003 8427 4030 8427 4004 8427 4029 8428 4030 8428 4003 8428 4001 8429 4004 8429 4000 8429 4021 8430 3995 8430 3998 8430 3994 8431 3998 8431 3995 8431 4026 8432 4005 8432 3995 8432 4021 8433 4026 8433 3995 8433 4029 8434 4003 8434 4005 8434 4026 8435 4029 8435 4005 8435 4040 8436 4041 8436 4037 8436 4036 8437 4040 8437 4037 8437 4036 8438 4039 8438 4040 8438 4036 8439 4038 8439 4039 8439 4042 8440 4043 8440 4044 8440 4045 8441 4044 8441 4043 8441 4046 8442 4044 8442 4047 8442 4048 8443 4047 8443 4044 8443 4042 8444 4044 8444 4046 8444 4045 8445 4048 8445 4044 8445 4049 8446 4050 8446 4043 8446 4051 8447 4043 8447 4050 8447 4052 8448 4049 8448 4043 8448 4042 8449 4052 8449 4043 8449 4051 8450 4045 8450 4043 8450 4053 8451 4047 8451 4050 8451 4054 8452 4050 8452 4047 8452 4049 8453 4053 8453 4050 8453 4051 8454 4050 8454 4054 8454 4055 8455 4046 8455 4047 8455 4053 8456 4055 8456 4047 8456 4048 8457 4054 8457 4047 8457 4056 8458 4046 8458 4055 8458 4057 8459 4042 8459 4046 8459 4056 8460 4057 8460 4046 8460 4053 8461 4058 8461 4055 8461 4059 8462 4055 8462 4058 8462 4060 8463 4055 8463 4059 8463 4056 8464 4055 8464 4060 8464 4061 8465 4058 8465 4053 8465 4059 8466 4058 8466 4061 8466 4062 8467 4053 8467 4049 8467 4061 8468 4053 8468 4062 8468 4063 8469 4049 8469 4052 8469 4063 8470 4062 8470 4049 8470 4042 8471 4064 8471 4052 8471 4065 8472 4052 8472 4064 8472 4065 8473 4066 8473 4052 8473 4063 8474 4052 8474 4066 8474 4067 8475 4064 8475 4042 8475 4065 8476 4064 8476 4067 8476 4067 8477 4042 8477 4057 8477 4068 8478 4054 8478 4048 8478 4068 8479 4069 8479 4054 8479 4051 8480 4054 8480 4069 8480 4070 8481 4048 8481 4045 8481 4070 8482 4068 8482 4048 8482 4070 8483 4045 8483 4071 8483 4051 8484 4071 8484 4045 8484 4051 8485 4069 8485 4071 8485 4072 8486 4071 8486 4069 8486 4073 8487 4070 8487 4071 8487 4072 8488 4073 8488 4071 8488 4074 8489 4069 8489 4068 8489 4074 8490 4072 8490 4069 8490 4075 8491 4068 8491 4070 8491 4074 8492 4068 8492 4075 8492 4073 8493 4075 8493 4070 8493 4072 8494 4075 8494 4073 8494 4074 8495 4075 8495 4072 8495 4076 8496 4077 8496 4078 8496 4079 8497 4078 8497 4077 8497 4080 8498 4076 8498 4078 8498 4080 8499 4078 8499 4079 8499 4081 8500 4082 8500 4077 8500 4083 8501 4077 8501 4082 8501 4084 8502 4077 8502 4076 8502 4084 8503 4085 8503 4077 8503 4081 8504 4077 8504 4085 8504 4083 8505 4079 8505 4077 8505 4086 8506 4087 8506 4082 8506 4088 8507 4082 8507 4087 8507 4081 8508 4086 8508 4082 8508 4083 8509 4082 8509 4088 8509 4089 8510 4090 8510 4087 8510 4091 8511 4087 8511 4090 8511 4086 8512 4089 8512 4087 8512 4088 8513 4087 8513 4091 8513 4092 8514 4090 8514 4089 8514 4091 8515 4090 8515 4092 8515 4093 8516 4094 8516 4089 8516 4095 8517 4089 8517 4094 8517 4096 8518 4093 8518 4089 8518 4086 8519 4096 8519 4089 8519 4092 8520 4089 8520 4095 8520 4084 8521 4076 8521 4094 8521 4097 8522 4094 8522 4076 8522 4093 8523 4084 8523 4094 8523 4095 8524 4094 8524 4097 8524 4097 8525 4076 8525 4080 8525 4098 8526 4085 8526 4084 8526 4099 8527 4081 8527 4085 8527 4098 8528 4099 8528 4085 8528 4100 8529 4084 8529 4093 8529 4098 8530 4084 8530 4100 8530 4101 8531 4093 8531 4096 8531 4100 8532 4093 8532 4101 8532 4102 8533 4096 8533 4086 8533 4101 8534 4096 8534 4102 8534 4103 8535 4086 8535 4081 8535 4102 8536 4086 8536 4103 8536 4103 8537 4081 8537 4099 8537 4059 8538 4080 8538 4079 8538 4060 8539 4059 8539 4079 8539 4083 8540 4060 8540 4079 8540 4061 8541 4097 8541 4080 8541 4059 8542 4061 8542 4080 8542 4062 8543 4095 8543 4097 8543 4061 8544 4062 8544 4097 8544 4066 8545 4092 8545 4095 8545 4062 8546 4066 8546 4095 8546 4065 8547 4092 8547 4066 8547 4091 8548 4092 8548 4065 8548 4063 8549 4066 8549 4062 8549 4083 8550 4057 8550 4060 8550 4056 8551 4060 8551 4057 8551 4088 8552 4067 8552 4057 8552 4083 8553 4088 8553 4057 8553 4091 8554 4065 8554 4067 8554 4088 8555 4091 8555 4067 8555 4102 8556 4103 8556 4099 8556 4098 8557 4102 8557 4099 8557 4098 8558 4101 8558 4102 8558 4098 8559 4100 8559 4101 8559 4104 8560 4105 8560 4106 8560 4107 8561 4106 8561 4105 8561 4108 8562 4106 8562 4109 8562 4110 8563 4109 8563 4106 8563 4104 8564 4106 8564 4108 8564 4107 8565 4110 8565 4106 8565 4111 8566 4112 8566 4105 8566 4113 8567 4105 8567 4112 8567 4114 8568 4111 8568 4105 8568 4104 8569 4114 8569 4105 8569 4113 8570 4107 8570 4105 8570 4115 8571 4109 8571 4112 8571 4116 8572 4112 8572 4109 8572 4111 8573 4115 8573 4112 8573 4113 8574 4112 8574 4116 8574 4117 8575 4108 8575 4109 8575 4115 8576 4117 8576 4109 8576 4110 8577 4116 8577 4109 8577 4118 8578 4108 8578 4117 8578 4119 8579 4104 8579 4108 8579 4118 8580 4119 8580 4108 8580 4115 8581 4120 8581 4117 8581 4121 8582 4117 8582 4120 8582 4122 8583 4117 8583 4121 8583 4118 8584 4117 8584 4122 8584 4123 8585 4120 8585 4115 8585 4121 8586 4120 8586 4123 8586 4124 8587 4115 8587 4111 8587 4123 8588 4115 8588 4124 8588 4125 8589 4111 8589 4114 8589 4125 8590 4124 8590 4111 8590 4104 8591 4126 8591 4114 8591 4127 8592 4114 8592 4126 8592 4127 8593 4128 8593 4114 8593 4125 8594 4114 8594 4128 8594 4129 8595 4126 8595 4104 8595 4127 8596 4126 8596 4129 8596 4129 8597 4104 8597 4119 8597 4130 8598 4116 8598 4110 8598 4130 8599 4131 8599 4116 8599 4113 8600 4116 8600 4131 8600 4132 8601 4110 8601 4107 8601 4132 8602 4130 8602 4110 8602 4132 8603 4107 8603 4133 8603 4113 8604 4133 8604 4107 8604 4113 8605 4131 8605 4133 8605 4134 8606 4133 8606 4131 8606 4135 8607 4132 8607 4133 8607 4134 8608 4135 8608 4133 8608 4136 8609 4131 8609 4130 8609 4136 8610 4134 8610 4131 8610 4137 8611 4130 8611 4132 8611 4136 8612 4130 8612 4137 8612 4135 8613 4137 8613 4132 8613 4134 8614 4137 8614 4135 8614 4136 8615 4137 8615 4134 8615 4138 8616 4139 8616 4140 8616 4141 8617 4140 8617 4139 8617 4142 8618 4138 8618 4140 8618 4142 8619 4140 8619 4141 8619 4143 8620 4144 8620 4139 8620 4145 8621 4139 8621 4144 8621 4146 8622 4139 8622 4138 8622 4146 8623 4147 8623 4139 8623 4143 8624 4139 8624 4147 8624 4145 8625 4141 8625 4139 8625 4148 8626 4149 8626 4144 8626 4150 8627 4144 8627 4149 8627 4143 8628 4148 8628 4144 8628 4145 8629 4144 8629 4150 8629 4151 8630 4152 8630 4149 8630 4153 8631 4149 8631 4152 8631 4148 8632 4151 8632 4149 8632 4150 8633 4149 8633 4153 8633 4154 8634 4152 8634 4151 8634 4153 8635 4152 8635 4154 8635 4155 8636 4156 8636 4151 8636 4157 8637 4151 8637 4156 8637 4158 8638 4155 8638 4151 8638 4148 8639 4158 8639 4151 8639 4154 8640 4151 8640 4157 8640 4146 8641 4138 8641 4156 8641 4159 8642 4156 8642 4138 8642 4155 8643 4146 8643 4156 8643 4157 8644 4156 8644 4159 8644 4159 8645 4138 8645 4142 8645 4160 8646 4147 8646 4146 8646 4161 8647 4143 8647 4147 8647 4160 8648 4161 8648 4147 8648 4162 8649 4146 8649 4155 8649 4160 8650 4146 8650 4162 8650 4163 8651 4155 8651 4158 8651 4162 8652 4155 8652 4163 8652 4164 8653 4158 8653 4148 8653 4163 8654 4158 8654 4164 8654 4165 8655 4148 8655 4143 8655 4164 8656 4148 8656 4165 8656 4165 8657 4143 8657 4161 8657 4121 8658 4142 8658 4141 8658 4122 8659 4121 8659 4141 8659 4145 8660 4122 8660 4141 8660 4123 8661 4159 8661 4142 8661 4121 8662 4123 8662 4142 8662 4124 8663 4157 8663 4159 8663 4123 8664 4124 8664 4159 8664 4128 8665 4154 8665 4157 8665 4124 8666 4128 8666 4157 8666 4127 8667 4154 8667 4128 8667 4153 8668 4154 8668 4127 8668 4125 8669 4128 8669 4124 8669 4145 8670 4119 8670 4122 8670 4118 8671 4122 8671 4119 8671 4150 8672 4129 8672 4119 8672 4145 8673 4150 8673 4119 8673 4153 8674 4127 8674 4129 8674 4150 8675 4153 8675 4129 8675 4164 8676 4165 8676 4161 8676 4160 8677 4164 8677 4161 8677 4160 8678 4163 8678 4164 8678 4160 8679 4162 8679 4163 8679 4166 8680 4167 8680 4168 8680 4169 8681 4168 8681 4167 8681 4170 8682 4168 8682 4171 8682 4172 8683 4171 8683 4168 8683 4166 8684 4168 8684 4170 8684 4169 8685 4172 8685 4168 8685 4173 8686 4174 8686 4167 8686 4175 8687 4167 8687 4174 8687 4176 8688 4173 8688 4167 8688 4166 8689 4176 8689 4167 8689 4175 8690 4169 8690 4167 8690 4177 8691 4171 8691 4174 8691 4178 8692 4174 8692 4171 8692 4173 8693 4177 8693 4174 8693 4175 8694 4174 8694 4178 8694 4179 8695 4170 8695 4171 8695 4177 8696 4179 8696 4171 8696 4172 8697 4178 8697 4171 8697 4180 8698 4170 8698 4179 8698 4181 8699 4166 8699 4170 8699 4180 8700 4181 8700 4170 8700 4177 8701 4182 8701 4179 8701 4183 8702 4179 8702 4182 8702 4184 8703 4179 8703 4183 8703 4180 8704 4179 8704 4184 8704 4185 8705 4182 8705 4177 8705 4183 8706 4182 8706 4185 8706 4186 8707 4177 8707 4173 8707 4185 8708 4177 8708 4186 8708 4187 8709 4173 8709 4176 8709 4187 8710 4186 8710 4173 8710 4166 8711 4188 8711 4176 8711 4189 8712 4176 8712 4188 8712 4189 8713 4190 8713 4176 8713 4187 8714 4176 8714 4190 8714 4191 8715 4188 8715 4166 8715 4189 8716 4188 8716 4191 8716 4191 8717 4166 8717 4181 8717 4192 8718 4178 8718 4172 8718 4192 8719 4193 8719 4178 8719 4175 8720 4178 8720 4193 8720 4194 8721 4172 8721 4169 8721 4194 8722 4192 8722 4172 8722 4194 8723 4169 8723 4195 8723 4175 8724 4195 8724 4169 8724 4175 8725 4193 8725 4195 8725 4196 8726 4195 8726 4193 8726 4197 8727 4194 8727 4195 8727 4196 8728 4197 8728 4195 8728 4198 8729 4193 8729 4192 8729 4198 8730 4196 8730 4193 8730 4199 8731 4192 8731 4194 8731 4198 8732 4192 8732 4199 8732 4197 8733 4199 8733 4194 8733 4196 8734 4199 8734 4197 8734 4198 8735 4199 8735 4196 8735 4200 8736 4201 8736 4202 8736 4203 8737 4202 8737 4201 8737 4204 8738 4200 8738 4202 8738 4204 8739 4202 8739 4203 8739 4205 8740 4206 8740 4201 8740 4207 8741 4201 8741 4206 8741 4208 8742 4201 8742 4200 8742 4208 8743 4209 8743 4201 8743 4205 8744 4201 8744 4209 8744 4207 8745 4203 8745 4201 8745 4210 8746 4211 8746 4206 8746 4212 8747 4206 8747 4211 8747 4205 8748 4210 8748 4206 8748 4207 8749 4206 8749 4212 8749 4213 8750 4214 8750 4211 8750 4215 8751 4211 8751 4214 8751 4210 8752 4213 8752 4211 8752 4212 8753 4211 8753 4215 8753 4216 8754 4214 8754 4213 8754 4215 8755 4214 8755 4216 8755 4217 8756 4218 8756 4213 8756 4219 8757 4213 8757 4218 8757 4220 8758 4217 8758 4213 8758 4210 8759 4220 8759 4213 8759 4216 8760 4213 8760 4219 8760 4208 8761 4200 8761 4218 8761 4221 8762 4218 8762 4200 8762 4217 8763 4208 8763 4218 8763 4219 8764 4218 8764 4221 8764 4221 8765 4200 8765 4204 8765 4222 8766 4209 8766 4208 8766 4223 8767 4205 8767 4209 8767 4222 8768 4223 8768 4209 8768 4224 8769 4208 8769 4217 8769 4222 8770 4208 8770 4224 8770 4225 8771 4217 8771 4220 8771 4224 8772 4217 8772 4225 8772 4226 8773 4220 8773 4210 8773 4225 8774 4220 8774 4226 8774 4227 8775 4210 8775 4205 8775 4226 8776 4210 8776 4227 8776 4227 8777 4205 8777 4223 8777 4183 8778 4204 8778 4203 8778 4184 8779 4183 8779 4203 8779 4207 8780 4184 8780 4203 8780 4185 8781 4221 8781 4204 8781 4183 8782 4185 8782 4204 8782 4186 8783 4219 8783 4221 8783 4185 8784 4186 8784 4221 8784 4190 8785 4216 8785 4219 8785 4186 8786 4190 8786 4219 8786 4189 8787 4216 8787 4190 8787 4215 8788 4216 8788 4189 8788 4187 8789 4190 8789 4186 8789 4207 8790 4181 8790 4184 8790 4180 8791 4184 8791 4181 8791 4212 8792 4191 8792 4181 8792 4207 8793 4212 8793 4181 8793 4215 8794 4189 8794 4191 8794 4212 8795 4215 8795 4191 8795 4226 8796 4227 8796 4223 8796 4222 8797 4226 8797 4223 8797 4222 8798 4225 8798 4226 8798 4222 8799 4224 8799 4225 8799 4228 8800 4229 8800 4230 8800 4231 8801 4230 8801 4229 8801 4232 8802 4230 8802 4233 8802 4234 8803 4233 8803 4230 8803 4235 8804 4228 8804 4230 8804 4232 8805 4235 8805 4230 8805 4234 8806 4230 8806 4231 8806 4236 8807 4237 8807 4229 8807 4238 8808 4229 8808 4237 8808 4228 8809 4236 8809 4229 8809 4238 8810 4231 8810 4229 8810 4239 8811 4240 8811 4237 8811 4241 8812 4237 8812 4240 8812 4236 8813 4239 8813 4237 8813 4238 8814 4237 8814 4241 8814 4242 8815 4243 8815 4240 8815 4244 8816 4240 8816 4243 8816 4239 8817 4242 8817 4240 8817 4241 8818 4240 8818 4244 8818 4245 8819 4246 8819 4243 8819 4247 8820 4243 8820 4246 8820 4248 8821 4245 8821 4243 8821 4249 8822 4248 8822 4243 8822 4249 8823 4243 8823 4242 8823 4244 8824 4243 8824 4247 8824 4250 8825 4251 8825 4246 8825 4252 8826 4246 8826 4251 8826 4245 8827 4250 8827 4246 8827 4247 8828 4246 8828 4252 8828 4253 8829 4254 8829 4251 8829 4255 8830 4251 8830 4254 8830 4250 8831 4253 8831 4251 8831 4252 8832 4251 8832 4255 8832 4256 8833 4257 8833 4254 8833 4258 8834 4254 8834 4257 8834 4259 8835 4256 8835 4254 8835 4259 8836 4254 8836 4253 8836 4255 8837 4254 8837 4258 8837 4260 8838 4261 8838 4257 8838 4262 8839 4257 8839 4261 8839 4263 8840 4260 8840 4257 8840 4256 8841 4263 8841 4257 8841 4258 8842 4257 8842 4262 8842 4264 8843 4265 8843 4261 8843 4266 8844 4261 8844 4265 8844 4260 8845 4264 8845 4261 8845 4262 8846 4261 8846 4266 8846 4267 8847 4268 8847 4265 8847 4269 8848 4265 8848 4268 8848 4264 8849 4267 8849 4265 8849 4266 8850 4265 8850 4269 8850 4270 8851 4271 8851 4268 8851 4272 8852 4268 8852 4271 8852 4267 8853 4270 8853 4268 8853 4269 8854 4268 8854 4272 8854 4273 8855 4274 8855 4271 8855 4275 8856 4271 8856 4274 8856 4276 8857 4273 8857 4271 8857 4277 8858 4276 8858 4271 8858 4277 8859 4271 8859 4270 8859 4272 8860 4271 8860 4275 8860 4278 8861 4279 8861 4274 8861 4280 8862 4274 8862 4279 8862 4273 8863 4278 8863 4274 8863 4275 8864 4274 8864 4280 8864 4281 8865 4233 8865 4279 8865 4282 8866 4279 8866 4233 8866 4278 8867 4281 8867 4279 8867 4280 8868 4279 8868 4282 8868 4283 8869 4233 8869 4281 8869 4283 8870 4232 8870 4233 8870 4282 8871 4233 8871 4234 8871 4283 8872 4284 8872 4285 8872 4286 8873 4285 8873 4284 8873 4283 8874 4285 8874 4276 8874 4287 8875 4276 8875 4285 8875 4287 8876 4285 8876 4286 8876 4283 8877 4281 8877 4284 8877 4288 8878 4284 8878 4281 8878 4286 8879 4284 8879 4288 8879 4289 8880 4281 8880 4278 8880 4288 8881 4281 8881 4289 8881 4290 8882 4278 8882 4273 8882 4289 8883 4278 8883 4290 8883 4291 8884 4273 8884 4276 8884 4291 8885 4290 8885 4273 8885 4277 8886 4283 8886 4276 8886 4291 8887 4276 8887 4287 8887 4277 8888 4292 8888 4293 8888 4294 8889 4293 8889 4292 8889 4260 8890 4293 8890 4264 8890 4295 8891 4264 8891 4293 8891 4296 8892 4293 8892 4260 8892 4296 8893 4277 8893 4293 8893 4295 8894 4293 8894 4294 8894 4277 8895 4297 8895 4292 8895 4298 8896 4292 8896 4297 8896 4294 8897 4292 8897 4298 8897 4277 8898 4270 8898 4297 8898 4299 8899 4297 8899 4270 8899 4298 8900 4297 8900 4299 8900 4300 8901 4270 8901 4267 8901 4299 8902 4270 8902 4300 8902 4301 8903 4267 8903 4264 8903 4301 8904 4300 8904 4267 8904 4301 8905 4264 8905 4295 8905 4296 8906 4302 8906 4303 8906 4304 8907 4303 8907 4302 8907 4305 8908 4303 8908 4306 8908 4307 8909 4306 8909 4303 8909 4308 8910 4303 8910 4305 8910 4309 8911 4296 8911 4303 8911 4308 8912 4309 8912 4303 8912 4307 8913 4303 8913 4304 8913 4296 8914 4310 8914 4302 8914 4311 8915 4302 8915 4310 8915 4304 8916 4302 8916 4311 8916 4296 8917 4260 8917 4310 8917 4312 8918 4310 8918 4260 8918 4311 8919 4310 8919 4312 8919 4263 8920 4313 8920 4260 8920 4314 8921 4260 8921 4313 8921 4312 8922 4260 8922 4314 8922 4315 8923 4306 8923 4313 8923 4316 8924 4313 8924 4306 8924 4263 8925 4315 8925 4313 8925 4316 8926 4314 8926 4313 8926 4315 8927 4305 8927 4306 8927 4316 8928 4306 8928 4307 8928 4308 8929 4305 8929 4317 8929 4318 8930 4317 8930 4305 8930 4308 8931 4317 8931 4319 8931 4320 8932 4319 8932 4317 8932 4320 8933 4317 8933 4318 8933 4321 8934 4305 8934 4315 8934 4318 8935 4305 8935 4321 8935 4322 8936 4315 8936 4263 8936 4321 8937 4315 8937 4322 8937 4323 8938 4263 8938 4256 8938 4322 8939 4263 8939 4323 8939 4259 8940 4319 8940 4256 8940 4324 8941 4256 8941 4319 8941 4324 8942 4323 8942 4256 8942 4259 8943 4308 8943 4319 8943 4324 8944 4319 8944 4320 8944 4259 8945 4325 8945 4326 8945 4327 8946 4326 8946 4325 8946 4259 8947 4326 8947 4248 8947 4328 8948 4248 8948 4326 8948 4328 8949 4326 8949 4327 8949 4259 8950 4253 8950 4325 8950 4329 8951 4325 8951 4253 8951 4327 8952 4325 8952 4329 8952 4330 8953 4253 8953 4250 8953 4329 8954 4253 8954 4330 8954 4331 8955 4250 8955 4245 8955 4330 8956 4250 8956 4331 8956 4332 8957 4245 8957 4248 8957 4332 8958 4331 8958 4245 8958 4249 8959 4259 8959 4248 8959 4332 8960 4248 8960 4328 8960 4249 8961 4333 8961 4334 8961 4335 8962 4334 8962 4333 8962 4228 8963 4334 8963 4236 8963 4336 8964 4236 8964 4334 8964 4337 8965 4334 8965 4228 8965 4249 8966 4334 8966 4337 8966 4336 8967 4334 8967 4335 8967 4249 8968 4338 8968 4333 8968 4339 8969 4333 8969 4338 8969 4335 8970 4333 8970 4339 8970 4249 8971 4242 8971 4338 8971 4340 8972 4338 8972 4242 8972 4339 8973 4338 8973 4340 8973 4341 8974 4242 8974 4239 8974 4340 8975 4242 8975 4341 8975 4342 8976 4239 8976 4236 8976 4342 8977 4341 8977 4239 8977 4342 8978 4236 8978 4336 8978 4343 8979 4344 8979 4345 8979 4346 8980 4345 8980 4344 8980 4347 8981 4345 8981 4348 8981 4349 8982 4348 8982 4345 8982 4350 8983 4345 8983 4347 8983 4350 8984 4351 8984 4345 8984 4352 8985 4345 8985 4351 8985 4352 8986 4343 8986 4345 8986 4349 8987 4345 8987 4346 8987 4353 8988 4354 8988 4344 8988 4355 8989 4344 8989 4354 8989 4343 8990 4353 8990 4344 8990 4346 8991 4344 8991 4355 8991 4337 8992 4228 8992 4354 8992 4356 8993 4354 8993 4228 8993 4357 8994 4337 8994 4354 8994 4353 8995 4357 8995 4354 8995 4355 8996 4354 8996 4356 8996 4235 8997 4358 8997 4228 8997 4359 8998 4228 8998 4358 8998 4356 8999 4228 8999 4359 8999 4360 9000 4348 9000 4358 9000 4361 9001 4358 9001 4348 9001 4235 9002 4360 9002 4358 9002 4361 9003 4359 9003 4358 9003 4360 9004 4347 9004 4348 9004 4361 9005 4348 9005 4349 9005 4350 9006 4347 9006 4362 9006 4363 9007 4362 9007 4347 9007 4364 9008 4362 9008 4365 9008 4366 9009 4365 9009 4362 9009 4350 9010 4362 9010 4364 9010 4366 9011 4362 9011 4363 9011 4367 9012 4347 9012 4360 9012 4363 9013 4347 9013 4367 9013 4368 9014 4360 9014 4235 9014 4367 9015 4360 9015 4368 9015 4369 9016 4235 9016 4232 9016 4368 9017 4235 9017 4369 9017 4370 9018 4365 9018 4232 9018 4371 9019 4232 9019 4365 9019 4372 9020 4370 9020 4232 9020 4283 9021 4372 9021 4232 9021 4371 9022 4369 9022 4232 9022 4370 9023 4364 9023 4365 9023 4371 9024 4365 9024 4366 9024 4373 9025 4374 9025 4375 9025 4376 9026 4375 9026 4374 9026 4377 9027 4375 9027 4378 9027 4379 9028 4378 9028 4375 9028 4377 9029 4373 9029 4375 9029 4379 9030 4375 9030 4376 9030 4373 9031 4380 9031 4374 9031 4381 9032 4374 9032 4380 9032 4381 9033 4376 9033 4374 9033 4382 9034 4383 9034 4380 9034 4384 9035 4380 9035 4383 9035 4382 9036 4380 9036 4373 9036 4381 9037 4380 9037 4384 9037 4382 9038 4385 9038 4383 9038 4386 9039 4383 9039 4385 9039 4384 9040 4383 9040 4386 9040 4382 9041 4378 9041 4385 9041 4387 9042 4385 9042 4378 9042 4386 9043 4385 9043 4387 9043 4377 9044 4378 9044 4388 9044 4389 9045 4388 9045 4378 9045 4382 9046 4389 9046 4378 9046 4387 9047 4378 9047 4379 9047 4377 9048 4390 9048 4391 9048 4392 9049 4391 9049 4390 9049 4393 9050 4391 9050 4394 9050 4395 9051 4394 9051 4391 9051 4393 9052 4396 9052 4391 9052 4377 9053 4391 9053 4396 9053 4395 9054 4391 9054 4392 9054 4377 9055 4388 9055 4390 9055 4397 9056 4390 9056 4388 9056 4397 9057 4392 9057 4390 9057 4398 9058 4399 9058 4388 9058 4400 9059 4388 9059 4399 9059 4401 9060 4398 9060 4388 9060 4389 9061 4401 9061 4388 9061 4397 9062 4388 9062 4400 9062 4402 9063 4403 9063 4399 9063 4404 9064 4399 9064 4403 9064 4398 9065 4402 9065 4399 9065 4400 9066 4399 9066 4404 9066 4405 9067 4394 9067 4403 9067 4406 9068 4403 9068 4394 9068 4405 9069 4403 9069 4402 9069 4404 9070 4403 9070 4406 9070 4407 9071 4393 9071 4394 9071 4405 9072 4407 9072 4394 9072 4406 9073 4394 9073 4395 9073 4377 9074 4408 9074 4409 9074 4410 9075 4409 9075 4408 9075 4277 9076 4409 9076 4283 9076 4411 9077 4283 9077 4409 9077 4277 9078 4377 9078 4409 9078 4411 9079 4409 9079 4410 9079 4412 9080 4364 9080 4408 9080 4413 9081 4408 9081 4364 9081 4377 9082 4412 9082 4408 9082 4413 9083 4410 9083 4408 9083 4414 9084 4364 9084 4370 9084 4350 9085 4364 9085 4412 9085 4413 9086 4364 9086 4414 9086 4415 9087 4370 9087 4372 9087 4414 9088 4370 9088 4415 9088 4416 9089 4372 9089 4283 9089 4415 9090 4372 9090 4416 9090 4416 9091 4283 9091 4411 9091 4377 9092 4396 9092 4412 9092 4417 9093 4412 9093 4396 9093 4418 9094 4350 9094 4412 9094 4418 9095 4412 9095 4417 9095 4419 9096 4396 9096 4393 9096 4419 9097 4417 9097 4396 9097 4420 9098 4421 9098 4393 9098 4422 9099 4393 9099 4421 9099 4407 9100 4420 9100 4393 9100 4419 9101 4393 9101 4422 9101 4352 9102 4351 9102 4421 9102 4423 9103 4421 9103 4351 9103 4420 9104 4352 9104 4421 9104 4422 9105 4421 9105 4423 9105 4424 9106 4351 9106 4350 9106 4423 9107 4351 9107 4424 9107 4424 9108 4350 9108 4418 9108 4425 9109 4426 9109 4427 9109 4428 9110 4427 9110 4426 9110 4429 9111 4427 9111 4430 9111 4431 9112 4430 9112 4427 9112 4249 9113 4425 9113 4427 9113 4429 9114 4249 9114 4427 9114 4431 9115 4427 9115 4428 9115 4425 9116 4432 9116 4426 9116 4433 9117 4426 9117 4432 9117 4433 9118 4428 9118 4426 9118 4434 9119 4435 9119 4432 9119 4436 9120 4432 9120 4435 9120 4437 9121 4432 9121 4425 9121 4438 9122 4432 9122 4437 9122 4438 9123 4434 9123 4432 9123 4433 9124 4432 9124 4436 9124 4434 9125 4439 9125 4435 9125 4440 9126 4435 9126 4439 9126 4436 9127 4435 9127 4440 9127 4434 9128 4430 9128 4439 9128 4441 9129 4439 9129 4430 9129 4440 9130 4439 9130 4441 9130 4442 9131 4429 9131 4430 9131 4434 9132 4442 9132 4430 9132 4441 9133 4430 9133 4431 9133 4249 9134 4443 9134 4425 9134 4444 9135 4425 9135 4443 9135 4445 9136 4437 9136 4425 9136 4445 9137 4425 9137 4444 9137 4446 9138 4402 9138 4443 9138 4447 9139 4443 9139 4402 9139 4249 9140 4446 9140 4443 9140 4447 9141 4444 9141 4443 9141 4448 9142 4402 9142 4398 9142 4405 9143 4402 9143 4446 9143 4447 9144 4402 9144 4448 9144 4449 9145 4398 9145 4401 9145 4448 9146 4398 9146 4449 9146 4389 9147 4437 9147 4401 9147 4450 9148 4401 9148 4437 9148 4449 9149 4401 9149 4450 9149 4389 9150 4438 9150 4437 9150 4450 9151 4437 9151 4445 9151 4249 9152 4451 9152 4452 9152 4453 9153 4452 9153 4451 9153 4352 9154 4452 9154 4343 9154 4454 9155 4343 9155 4452 9155 4352 9156 4455 9156 4452 9156 4249 9157 4452 9157 4455 9157 4454 9158 4452 9158 4453 9158 4249 9159 4337 9159 4451 9159 4456 9160 4451 9160 4337 9160 4456 9161 4453 9161 4451 9161 4457 9162 4337 9162 4357 9162 4456 9163 4337 9163 4457 9163 4458 9164 4357 9164 4353 9164 4457 9165 4357 9165 4458 9165 4459 9166 4353 9166 4343 9166 4458 9167 4353 9167 4459 9167 4459 9168 4343 9168 4454 9168 4249 9169 4455 9169 4446 9169 4460 9170 4446 9170 4455 9170 4461 9171 4405 9171 4446 9171 4461 9172 4446 9172 4460 9172 4462 9173 4455 9173 4352 9173 4462 9174 4460 9174 4455 9174 4463 9175 4352 9175 4420 9175 4462 9176 4352 9176 4463 9176 4464 9177 4420 9177 4407 9177 4463 9178 4420 9178 4464 9178 4465 9179 4407 9179 4405 9179 4464 9180 4407 9180 4465 9180 4465 9181 4405 9181 4461 9181 4466 9182 4467 9182 4468 9182 4469 9183 4468 9183 4467 9183 4470 9184 4466 9184 4468 9184 4469 9185 4470 9185 4468 9185 4466 9186 4471 9186 4467 9186 4472 9187 4467 9187 4471 9187 4469 9188 4467 9188 4472 9188 4382 9189 4473 9189 4471 9189 4474 9190 4471 9190 4473 9190 4466 9191 4382 9191 4471 9191 4472 9192 4471 9192 4474 9192 4382 9193 4373 9193 4473 9193 4475 9194 4473 9194 4373 9194 4475 9195 4474 9195 4473 9195 4476 9196 4373 9196 4377 9196 4475 9197 4373 9197 4476 9197 4477 9198 4377 9198 4277 9198 4476 9199 4377 9199 4477 9199 4478 9200 4277 9200 4296 9200 4477 9201 4277 9201 4478 9201 4479 9202 4296 9202 4309 9202 4478 9203 4296 9203 4479 9203 4308 9204 4480 9204 4309 9204 4481 9205 4309 9205 4480 9205 4479 9206 4309 9206 4481 9206 4482 9207 4480 9207 4308 9207 4481 9208 4480 9208 4482 9208 4483 9209 4308 9209 4259 9209 4482 9210 4308 9210 4483 9210 4484 9211 4259 9211 4249 9211 4483 9212 4259 9212 4484 9212 4485 9213 4249 9213 4429 9213 4484 9214 4249 9214 4485 9214 4486 9215 4429 9215 4442 9215 4485 9216 4429 9216 4486 9216 4487 9217 4488 9217 4442 9217 4489 9218 4442 9218 4488 9218 4434 9219 4487 9219 4442 9219 4486 9220 4442 9220 4489 9220 4490 9221 4488 9221 4487 9221 4489 9222 4488 9222 4490 9222 4434 9223 4491 9223 4487 9223 4492 9224 4487 9224 4491 9224 4490 9225 4487 9225 4492 9225 4493 9226 4494 9226 4491 9226 4495 9227 4491 9227 4494 9227 4434 9228 4493 9228 4491 9228 4492 9229 4491 9229 4495 9229 4493 9230 4496 9230 4494 9230 4497 9231 4494 9231 4496 9231 4495 9232 4494 9232 4498 9232 4497 9233 4498 9233 4494 9233 4499 9234 4496 9234 4493 9234 4499 9235 4497 9235 4496 9235 4500 9236 4493 9236 4434 9236 4501 9237 4493 9237 4500 9237 4502 9238 4493 9238 4503 9238 4504 9239 4503 9239 4493 9239 4499 9240 4493 9240 4502 9240 4505 9241 4493 9241 4506 9241 4501 9242 4506 9242 4493 9242 4504 9243 4493 9243 4505 9243 4500 9244 4434 9244 4438 9244 4507 9245 4438 9245 4389 9245 4500 9246 4438 9246 4507 9246 4508 9247 4389 9247 4382 9247 4507 9248 4389 9248 4508 9248 4509 9249 4382 9249 4466 9249 4508 9250 4382 9250 4509 9250 4470 9251 4510 9251 4466 9251 4511 9252 4466 9252 4510 9252 4509 9253 4466 9253 4512 9253 4511 9254 4512 9254 4466 9254 4513 9255 4510 9255 4470 9255 4511 9256 4510 9256 4513 9256 4514 9257 4470 9257 4469 9257 4515 9258 4516 9258 4470 9258 4513 9259 4470 9259 4516 9259 4514 9260 4515 9260 4470 9260 4416 9261 4234 9261 4231 9261 4456 9262 4231 9262 4238 9262 4457 9263 4416 9263 4231 9263 4456 9264 4457 9264 4231 9264 4517 9265 4282 9265 4234 9265 4416 9266 4517 9266 4234 9266 4518 9267 4280 9267 4282 9267 4519 9268 4518 9268 4282 9268 4520 9269 4519 9269 4282 9269 4517 9270 4520 9270 4282 9270 4521 9271 4275 9271 4280 9271 4478 9272 4280 9272 4518 9272 4522 9273 4280 9273 4478 9273 4521 9274 4280 9274 4522 9274 4523 9275 4272 9275 4275 9275 4524 9276 4523 9276 4275 9276 4521 9277 4524 9277 4275 9277 4525 9278 4269 9278 4272 9278 4526 9279 4525 9279 4272 9279 4527 9280 4526 9280 4272 9280 4528 9281 4527 9281 4272 9281 4523 9282 4528 9282 4272 9282 4479 9283 4266 9283 4269 9283 4479 9284 4269 9284 4525 9284 4479 9285 4262 9285 4266 9285 4484 9286 4258 9286 4262 9286 4479 9287 4484 9287 4262 9287 4529 9288 4255 9288 4258 9288 4484 9289 4529 9289 4258 9289 4530 9290 4252 9290 4255 9290 4531 9291 4530 9291 4255 9291 4532 9292 4531 9292 4255 9292 4529 9293 4532 9293 4255 9293 4533 9294 4247 9294 4252 9294 4485 9295 4252 9295 4530 9295 4534 9296 4252 9296 4485 9296 4533 9297 4252 9297 4534 9297 4535 9298 4244 9298 4247 9298 4536 9299 4535 9299 4247 9299 4533 9300 4536 9300 4247 9300 4537 9301 4241 9301 4244 9301 4538 9302 4537 9302 4244 9302 4539 9303 4538 9303 4244 9303 4540 9304 4539 9304 4244 9304 4535 9305 4540 9305 4244 9305 4456 9306 4238 9306 4241 9306 4456 9307 4241 9307 4537 9307 4478 9308 4541 9308 4542 9308 4286 9309 4542 9309 4541 9309 4478 9310 4542 9310 4517 9310 4288 9311 4517 9311 4542 9311 4286 9312 4288 9312 4542 9312 4478 9313 4518 9313 4541 9313 4287 9314 4541 9314 4518 9314 4287 9315 4286 9315 4541 9315 4291 9316 4518 9316 4519 9316 4291 9317 4287 9317 4518 9317 4290 9318 4519 9318 4520 9318 4291 9319 4519 9319 4290 9319 4289 9320 4520 9320 4517 9320 4289 9321 4290 9321 4520 9321 4478 9322 4517 9322 4416 9322 4288 9323 4289 9323 4517 9323 4479 9324 4525 9324 4543 9324 4294 9325 4543 9325 4525 9325 4479 9326 4543 9326 4544 9326 4298 9327 4544 9327 4543 9327 4294 9328 4298 9328 4543 9328 4295 9329 4525 9329 4526 9329 4295 9330 4294 9330 4525 9330 4301 9331 4526 9331 4527 9331 4301 9332 4295 9332 4526 9332 4300 9333 4527 9333 4528 9333 4301 9334 4527 9334 4300 9334 4523 9335 4544 9335 4528 9335 4299 9336 4528 9336 4544 9336 4299 9337 4300 9337 4528 9337 4523 9338 4479 9338 4544 9338 4298 9339 4299 9339 4544 9339 4545 9340 4546 9340 4547 9340 4304 9341 4547 9341 4546 9341 4481 9342 4547 9342 4548 9342 4311 9343 4548 9343 4547 9343 4549 9344 4547 9344 4481 9344 4549 9345 4545 9345 4547 9345 4304 9346 4311 9346 4547 9346 4545 9347 4550 9347 4546 9347 4307 9348 4546 9348 4550 9348 4307 9349 4304 9349 4546 9349 4551 9350 4552 9350 4550 9350 4316 9351 4550 9351 4552 9351 4551 9352 4550 9352 4545 9352 4316 9353 4307 9353 4550 9353 4479 9354 4553 9354 4552 9354 4314 9355 4552 9355 4553 9355 4484 9356 4552 9356 4554 9356 4551 9357 4554 9357 4552 9357 4479 9358 4552 9358 4484 9358 4316 9359 4552 9359 4314 9359 4481 9360 4548 9360 4553 9360 4312 9361 4553 9361 4548 9361 4479 9362 4481 9362 4553 9362 4312 9363 4314 9363 4553 9363 4311 9364 4312 9364 4548 9364 4484 9365 4555 9365 4556 9365 4318 9366 4556 9366 4555 9366 4484 9367 4556 9367 4557 9367 4321 9368 4557 9368 4556 9368 4318 9369 4321 9369 4556 9369 4484 9370 4554 9370 4555 9370 4320 9371 4555 9371 4554 9371 4320 9372 4318 9372 4555 9372 4558 9373 4559 9373 4554 9373 4324 9374 4554 9374 4559 9374 4551 9375 4558 9375 4554 9375 4324 9376 4320 9376 4554 9376 4560 9377 4561 9377 4559 9377 4323 9378 4559 9378 4561 9378 4558 9379 4560 9379 4559 9379 4324 9380 4559 9380 4323 9380 4562 9381 4557 9381 4561 9381 4322 9382 4561 9382 4557 9382 4560 9383 4562 9383 4561 9383 4322 9384 4323 9384 4561 9384 4481 9385 4484 9385 4557 9385 4562 9386 4481 9386 4557 9386 4321 9387 4322 9387 4557 9387 4485 9388 4563 9388 4564 9388 4327 9389 4564 9389 4563 9389 4485 9390 4564 9390 4529 9390 4329 9391 4529 9391 4564 9391 4327 9392 4329 9392 4564 9392 4485 9393 4530 9393 4563 9393 4328 9394 4563 9394 4530 9394 4328 9395 4327 9395 4563 9395 4332 9396 4530 9396 4531 9396 4332 9397 4328 9397 4530 9397 4331 9398 4531 9398 4532 9398 4332 9399 4531 9399 4331 9399 4330 9400 4532 9400 4529 9400 4330 9401 4331 9401 4532 9401 4484 9402 4485 9402 4529 9402 4329 9403 4330 9403 4529 9403 4456 9404 4537 9404 4565 9404 4335 9405 4565 9405 4537 9405 4456 9406 4565 9406 4566 9406 4339 9407 4566 9407 4565 9407 4335 9408 4339 9408 4565 9408 4336 9409 4537 9409 4538 9409 4336 9410 4335 9410 4537 9410 4342 9411 4538 9411 4539 9411 4342 9412 4336 9412 4538 9412 4341 9413 4539 9413 4540 9413 4342 9414 4539 9414 4341 9414 4535 9415 4566 9415 4540 9415 4340 9416 4540 9416 4566 9416 4340 9417 4341 9417 4540 9417 4535 9418 4456 9418 4566 9418 4339 9419 4340 9419 4566 9419 4567 9420 4568 9420 4569 9420 4346 9421 4569 9421 4568 9421 4462 9422 4569 9422 4570 9422 4355 9423 4570 9423 4569 9423 4571 9424 4569 9424 4462 9424 4571 9425 4567 9425 4569 9425 4346 9426 4355 9426 4569 9426 4567 9427 4572 9427 4568 9427 4349 9428 4568 9428 4572 9428 4349 9429 4346 9429 4568 9429 4573 9430 4574 9430 4572 9430 4361 9431 4572 9431 4574 9431 4573 9432 4572 9432 4567 9432 4361 9433 4349 9433 4572 9433 4459 9434 4575 9434 4574 9434 4359 9435 4574 9435 4575 9435 4415 9436 4574 9436 4576 9436 4573 9437 4576 9437 4574 9437 4458 9438 4574 9438 4415 9438 4458 9439 4459 9439 4574 9439 4361 9440 4574 9440 4359 9440 4459 9441 4570 9441 4575 9441 4356 9442 4575 9442 4570 9442 4356 9443 4359 9443 4575 9443 4462 9444 4570 9444 4459 9444 4355 9445 4356 9445 4570 9445 4413 9446 4577 9446 4578 9446 4363 9447 4578 9447 4577 9447 4413 9448 4578 9448 4579 9448 4367 9449 4579 9449 4578 9449 4363 9450 4367 9450 4578 9450 4414 9451 4576 9451 4577 9451 4366 9452 4577 9452 4576 9452 4413 9453 4414 9453 4577 9453 4366 9454 4363 9454 4577 9454 4580 9455 4581 9455 4576 9455 4371 9456 4576 9456 4581 9456 4414 9457 4415 9457 4576 9457 4573 9458 4580 9458 4576 9458 4371 9459 4366 9459 4576 9459 4582 9460 4583 9460 4581 9460 4369 9461 4581 9461 4583 9461 4580 9462 4582 9462 4581 9462 4371 9463 4581 9463 4369 9463 4584 9464 4579 9464 4583 9464 4368 9465 4583 9465 4579 9465 4582 9466 4584 9466 4583 9466 4368 9467 4369 9467 4583 9467 4424 9468 4413 9468 4579 9468 4463 9469 4424 9469 4579 9469 4462 9470 4463 9470 4579 9470 4584 9471 4462 9471 4579 9471 4367 9472 4368 9472 4579 9472 4392 9473 4379 9473 4376 9473 4477 9474 4376 9474 4381 9474 4478 9475 4392 9475 4376 9475 4477 9476 4478 9476 4376 9476 4392 9477 4387 9477 4379 9477 4585 9478 4386 9478 4387 9478 4397 9479 4387 9479 4392 9479 4509 9480 4387 9480 4397 9480 4509 9481 4585 9481 4387 9481 4586 9482 4384 9482 4386 9482 4585 9483 4586 9483 4386 9483 4472 9484 4381 9484 4384 9484 4586 9485 4472 9485 4384 9485 4472 9486 4474 9486 4381 9486 4476 9487 4381 9487 4474 9487 4476 9488 4477 9488 4381 9488 4478 9489 4395 9489 4392 9489 4417 9490 4406 9490 4395 9490 4478 9491 4417 9491 4395 9491 4449 9492 4404 9492 4406 9492 4419 9493 4406 9493 4417 9493 4448 9494 4406 9494 4419 9494 4448 9495 4449 9495 4406 9495 4450 9496 4400 9496 4404 9496 4449 9497 4450 9497 4404 9497 4508 9498 4397 9498 4400 9498 4508 9499 4400 9499 4450 9499 4508 9500 4509 9500 4397 9500 4478 9501 4411 9501 4410 9501 4424 9502 4410 9502 4413 9502 4424 9503 4418 9503 4410 9503 4478 9504 4410 9504 4418 9504 4478 9505 4416 9505 4411 9505 4458 9506 4415 9506 4416 9506 4457 9507 4458 9507 4416 9507 4478 9508 4418 9508 4417 9508 4464 9509 4423 9509 4424 9509 4463 9510 4464 9510 4424 9510 4465 9511 4422 9511 4423 9511 4464 9512 4465 9512 4423 9512 4447 9513 4419 9513 4422 9513 4465 9514 4447 9514 4422 9514 4447 9515 4448 9515 4419 9515 4489 9516 4431 9516 4428 9516 4486 9517 4428 9517 4433 9517 4486 9518 4489 9518 4428 9518 4489 9519 4441 9519 4431 9519 4587 9520 4440 9520 4441 9520 4489 9521 4587 9521 4441 9521 4507 9522 4436 9522 4440 9522 4587 9523 4507 9523 4440 9523 4507 9524 4433 9524 4436 9524 4508 9525 4450 9525 4433 9525 4486 9526 4433 9526 4450 9526 4507 9527 4508 9527 4433 9527 4486 9528 4445 9528 4444 9528 4465 9529 4444 9529 4447 9529 4465 9530 4461 9530 4444 9530 4486 9531 4444 9531 4461 9531 4486 9532 4450 9532 4445 9532 4486 9533 4454 9533 4453 9533 4588 9534 4453 9534 4456 9534 4485 9535 4486 9535 4453 9535 4588 9536 4485 9536 4453 9536 4460 9537 4459 9537 4454 9537 4486 9538 4460 9538 4454 9538 4462 9539 4459 9539 4460 9539 4535 9540 4588 9540 4456 9540 4486 9541 4461 9541 4460 9541 4584 9542 4571 9542 4462 9542 4475 9543 4476 9543 4474 9543 4586 9544 4469 9544 4472 9544 4589 9545 4469 9545 4586 9545 4590 9546 4514 9546 4469 9546 4591 9547 4590 9547 4469 9547 4589 9548 4591 9548 4469 9548 4592 9549 4586 9549 4585 9549 4592 9550 4589 9550 4586 9550 4509 9551 4512 9551 4585 9551 4592 9552 4585 9552 4512 9552 4592 9553 4512 9553 4511 9553 4593 9554 4500 9554 4507 9554 4587 9555 4593 9555 4507 9555 4501 9556 4500 9556 4593 9556 4594 9557 4593 9557 4587 9557 4501 9558 4593 9558 4594 9558 4495 9559 4498 9559 4587 9559 4594 9560 4587 9560 4498 9560 4492 9561 4495 9561 4587 9561 4490 9562 4492 9562 4587 9562 4489 9563 4490 9563 4587 9563 4497 9564 4594 9564 4498 9564 4595 9565 4534 9565 4485 9565 4588 9566 4595 9566 4485 9566 4481 9567 4483 9567 4484 9567 4481 9568 4482 9568 4483 9568 4562 9569 4549 9569 4481 9569 4596 9570 4478 9570 4479 9570 4523 9571 4596 9571 4479 9571 4597 9572 4522 9572 4478 9572 4596 9573 4597 9573 4478 9573 4598 9574 4545 9574 4549 9574 4599 9575 4551 9575 4545 9575 4599 9576 4545 9576 4598 9576 4600 9577 4549 9577 4562 9577 4600 9578 4598 9578 4549 9578 4601 9579 4562 9579 4560 9579 4600 9580 4562 9580 4601 9580 4602 9581 4560 9581 4558 9581 4601 9582 4560 9582 4602 9582 4603 9583 4558 9583 4551 9583 4602 9584 4558 9584 4603 9584 4603 9585 4551 9585 4599 9585 4604 9586 4534 9586 4595 9586 4605 9587 4533 9587 4534 9587 4605 9588 4534 9588 4604 9588 4606 9589 4595 9589 4588 9589 4606 9590 4604 9590 4595 9590 4607 9591 4588 9591 4535 9591 4606 9592 4588 9592 4607 9592 4608 9593 4535 9593 4536 9593 4607 9594 4535 9594 4608 9594 4609 9595 4536 9595 4533 9595 4608 9596 4536 9596 4609 9596 4609 9597 4533 9597 4605 9597 4610 9598 4567 9598 4571 9598 4611 9599 4573 9599 4567 9599 4611 9600 4567 9600 4610 9600 4612 9601 4571 9601 4584 9601 4612 9602 4610 9602 4571 9602 4613 9603 4584 9603 4582 9603 4612 9604 4584 9604 4613 9604 4614 9605 4582 9605 4580 9605 4613 9606 4582 9606 4614 9606 4615 9607 4580 9607 4573 9607 4614 9608 4580 9608 4615 9608 4615 9609 4573 9609 4611 9609 4616 9610 4522 9610 4597 9610 4617 9611 4521 9611 4522 9611 4617 9612 4522 9612 4616 9612 4618 9613 4597 9613 4596 9613 4618 9614 4616 9614 4597 9614 4619 9615 4596 9615 4523 9615 4618 9616 4596 9616 4619 9616 4620 9617 4523 9617 4524 9617 4619 9618 4523 9618 4620 9618 4621 9619 4524 9619 4521 9619 4620 9620 4524 9620 4621 9620 4621 9621 4521 9621 4617 9621 4622 9622 4623 9622 4624 9622 4625 9623 4624 9623 4623 9623 4626 9624 4624 9624 4627 9624 4628 9625 4627 9625 4624 9625 4626 9626 4622 9626 4624 9626 4625 9627 4628 9627 4624 9627 4629 9628 4630 9628 4623 9628 4631 9629 4623 9629 4630 9629 4622 9630 4629 9630 4623 9630 4631 9631 4625 9631 4623 9631 4629 9632 4632 9632 4630 9632 4633 9633 4630 9633 4632 9633 4633 9634 4631 9634 4630 9634 4497 9635 4634 9635 4632 9635 4503 9636 4632 9636 4634 9636 4629 9637 4635 9637 4632 9637 4497 9638 4632 9638 4635 9638 4633 9639 4632 9639 4503 9639 4497 9640 4627 9640 4634 9640 4502 9641 4634 9641 4627 9641 4502 9642 4503 9642 4634 9642 4497 9643 4626 9643 4627 9643 4628 9644 4502 9644 4627 9644 4497 9645 4636 9645 4594 9645 4501 9646 4594 9646 4636 9646 4497 9647 4637 9647 4636 9647 4505 9648 4636 9648 4637 9648 4505 9649 4506 9649 4636 9649 4501 9650 4636 9650 4506 9650 4497 9651 4638 9651 4637 9651 4505 9652 4637 9652 4638 9652 4497 9653 4635 9653 4638 9653 4504 9654 4638 9654 4635 9654 4504 9655 4505 9655 4638 9655 4639 9656 4635 9656 4629 9656 4504 9657 4635 9657 4639 9657 4640 9658 4629 9658 4622 9658 4640 9659 4639 9659 4629 9659 4626 9660 4641 9660 4622 9660 4642 9661 4622 9661 4641 9661 4642 9662 4640 9662 4622 9662 4643 9663 4641 9663 4626 9663 4643 9664 4642 9664 4641 9664 4644 9665 4626 9665 4497 9665 4644 9666 4643 9666 4626 9666 4644 9667 4497 9667 4499 9667 4640 9668 4633 9668 4503 9668 4640 9669 4503 9669 4639 9669 4504 9670 4639 9670 4503 9670 4499 9671 4502 9671 4628 9671 4499 9672 4628 9672 4625 9672 4642 9673 4625 9673 4631 9673 4644 9674 4499 9674 4625 9674 4644 9675 4625 9675 4642 9675 4642 9676 4631 9676 4633 9676 4642 9677 4633 9677 4640 9677 4644 9678 4642 9678 4643 9678 4513 9679 4645 9679 4646 9679 4647 9680 4646 9680 4645 9680 4648 9681 4646 9681 4649 9681 4650 9682 4649 9682 4646 9682 4651 9683 4513 9683 4646 9683 4648 9684 4651 9684 4646 9684 4650 9685 4646 9685 4647 9685 4513 9686 4516 9686 4645 9686 4652 9687 4645 9687 4516 9687 4652 9688 4647 9688 4645 9688 4653 9689 4516 9689 4515 9689 4653 9690 4652 9690 4516 9690 4654 9691 4655 9691 4515 9691 4656 9692 4515 9692 4655 9692 4657 9693 4654 9693 4515 9693 4514 9694 4657 9694 4515 9694 4653 9695 4515 9695 4656 9695 4648 9696 4649 9696 4655 9696 4658 9697 4655 9697 4649 9697 4654 9698 4648 9698 4655 9698 4658 9699 4656 9699 4655 9699 4650 9700 4658 9700 4649 9700 4511 9701 4513 9701 4651 9701 4648 9702 4659 9702 4651 9702 4660 9703 4651 9703 4659 9703 4660 9704 4511 9704 4651 9704 4661 9705 4659 9705 4648 9705 4661 9706 4660 9706 4659 9706 4662 9707 4648 9707 4654 9707 4662 9708 4661 9708 4648 9708 4663 9709 4654 9709 4657 9709 4663 9710 4662 9710 4654 9710 4664 9711 4657 9711 4514 9711 4664 9712 4663 9712 4657 9712 4665 9713 4514 9713 4590 9713 4665 9714 4664 9714 4514 9714 4666 9715 4590 9715 4591 9715 4666 9716 4667 9716 4590 9716 4665 9717 4590 9717 4667 9717 4666 9718 4591 9718 4589 9718 4592 9719 4666 9719 4589 9719 4511 9720 4653 9720 4656 9720 4663 9721 4656 9721 4658 9721 4664 9722 4511 9722 4656 9722 4664 9723 4656 9723 4663 9723 4660 9724 4647 9724 4652 9724 4662 9725 4650 9725 4647 9725 4662 9726 4647 9726 4660 9726 4511 9727 4652 9727 4653 9727 4660 9728 4652 9728 4511 9728 4663 9729 4658 9729 4650 9729 4663 9730 4650 9730 4662 9730 4665 9731 4511 9731 4664 9731 4666 9732 4511 9732 4667 9732 4665 9733 4667 9733 4511 9733 4592 9734 4511 9734 4666 9734 4662 9735 4660 9735 4661 9735 4603 9736 4599 9736 4598 9736 4602 9737 4603 9737 4598 9737 4600 9738 4602 9738 4598 9738 4600 9739 4601 9739 4602 9739 4609 9740 4605 9740 4604 9740 4608 9741 4609 9741 4604 9741 4606 9742 4608 9742 4604 9742 4606 9743 4607 9743 4608 9743 4615 9744 4611 9744 4610 9744 4614 9745 4615 9745 4610 9745 4612 9746 4614 9746 4610 9746 4612 9747 4613 9747 4614 9747 4621 9748 4617 9748 4616 9748 4620 9749 4621 9749 4616 9749 4618 9750 4620 9750 4616 9750 4618 9751 4619 9751 4620 9751 4668 9752 4669 9752 4670 9752 4671 9753 4670 9753 4669 9753 4672 9754 4668 9754 4670 9754 4673 9755 4670 9755 4674 9755 4675 9756 4674 9756 4670 9756 4672 9757 4670 9757 4673 9757 4675 9758 4670 9758 4671 9758 4676 9759 4669 9759 4668 9759 4676 9760 4671 9760 4669 9760 4677 9761 4678 9761 4668 9761 4679 9762 4668 9762 4678 9762 4680 9763 4677 9763 4668 9763 4681 9764 4680 9764 4668 9764 4672 9765 4681 9765 4668 9765 4676 9766 4668 9766 4679 9766 4674 9767 4682 9767 4678 9767 4683 9768 4678 9768 4682 9768 4684 9769 4674 9769 4678 9769 4677 9770 4684 9770 4678 9770 4679 9771 4678 9771 4683 9771 4685 9772 4682 9772 4674 9772 4683 9773 4682 9773 4685 9773 4686 9774 4673 9774 4674 9774 4687 9775 4686 9775 4674 9775 4684 9776 4687 9776 4674 9776 4685 9777 4674 9777 4675 9777 4688 9778 4673 9778 4686 9778 4689 9779 4672 9779 4673 9779 4689 9780 4673 9780 4688 9780 4690 9781 4686 9781 4687 9781 4690 9782 4688 9782 4686 9782 4691 9783 4687 9783 4684 9783 4690 9784 4687 9784 4691 9784 4692 9785 4684 9785 4677 9785 4691 9786 4684 9786 4692 9786 4693 9787 4677 9787 4680 9787 4692 9788 4677 9788 4693 9788 4694 9789 4680 9789 4681 9789 4693 9790 4680 9790 4694 9790 4695 9791 4681 9791 4672 9791 4694 9792 4681 9792 4695 9792 4695 9793 4672 9793 4689 9793 4696 9794 4697 9794 4698 9794 4699 9795 4698 9795 4697 9795 4700 9796 4696 9796 4698 9796 4701 9797 4698 9797 4702 9797 4703 9798 4702 9798 4698 9798 4701 9799 4700 9799 4698 9799 4703 9800 4698 9800 4699 9800 4704 9801 4697 9801 4696 9801 4704 9802 4699 9802 4697 9802 4705 9803 4706 9803 4696 9803 4707 9804 4696 9804 4706 9804 4708 9805 4705 9805 4696 9805 4709 9806 4708 9806 4696 9806 4700 9807 4709 9807 4696 9807 4704 9808 4696 9808 4707 9808 4702 9809 4710 9809 4706 9809 4711 9810 4706 9810 4710 9810 4712 9811 4702 9811 4706 9811 4712 9812 4706 9812 4705 9812 4707 9813 4706 9813 4711 9813 4713 9814 4710 9814 4702 9814 4711 9815 4710 9815 4713 9815 4714 9816 4701 9816 4702 9816 4715 9817 4714 9817 4702 9817 4712 9818 4715 9818 4702 9818 4713 9819 4702 9819 4703 9819 4716 9820 4705 9820 4708 9820 4717 9821 4712 9821 4705 9821 4717 9822 4705 9822 4716 9822 4718 9823 4708 9823 4709 9823 4716 9824 4708 9824 4718 9824 4719 9825 4709 9825 4700 9825 4718 9826 4709 9826 4719 9826 4720 9827 4700 9827 4701 9827 4719 9828 4700 9828 4720 9828 4721 9829 4701 9829 4714 9829 4720 9830 4701 9830 4721 9830 4722 9831 4714 9831 4715 9831 4722 9832 4721 9832 4714 9832 4723 9833 4715 9833 4712 9833 4722 9834 4715 9834 4723 9834 4723 9835 4712 9835 4717 9835 4685 9836 4703 9836 4699 9836 4683 9837 4685 9837 4699 9837 4704 9838 4683 9838 4699 9838 4675 9839 4713 9839 4703 9839 4685 9840 4675 9840 4703 9840 4671 9841 4711 9841 4713 9841 4675 9842 4671 9842 4713 9842 4676 9843 4711 9843 4671 9843 4676 9844 4707 9844 4711 9844 4679 9845 4683 9845 4704 9845 4679 9846 4704 9846 4707 9846 4676 9847 4679 9847 4707 9847 4720 9848 4721 9848 4724 9848 4722 9849 4724 9849 4721 9849 4719 9850 4720 9850 4724 9850 4718 9851 4719 9851 4724 9851 4716 9852 4718 9852 4724 9852 4717 9853 4716 9853 4724 9853 4723 9854 4717 9854 4724 9854 4722 9855 4723 9855 4724 9855 4689 9856 4688 9856 4725 9856 4690 9857 4725 9857 4688 9857 4695 9858 4689 9858 4725 9858 4694 9859 4695 9859 4725 9859 4693 9860 4694 9860 4725 9860 4692 9861 4693 9861 4725 9861 4691 9862 4692 9862 4725 9862 4690 9863 4691 9863 4725 9863 4726 9864 4727 9864 4728 9864 4729 9865 4728 9865 4727 9865 4730 9866 4726 9866 4728 9866 4731 9867 4728 9867 4732 9867 4733 9868 4732 9868 4728 9868 4731 9869 4734 9869 4728 9869 4730 9870 4728 9870 4734 9870 4729 9871 4733 9871 4728 9871 4726 9872 4735 9872 4727 9872 4736 9873 4727 9873 4735 9873 4736 9874 4729 9874 4727 9874 4737 9875 4735 9875 4726 9875 4737 9876 4736 9876 4735 9876 4738 9877 4739 9877 4726 9877 4740 9878 4726 9878 4739 9878 4730 9879 4738 9879 4726 9879 4740 9880 4737 9880 4726 9880 4732 9881 4741 9881 4739 9881 4742 9882 4739 9882 4741 9882 4743 9883 4732 9883 4739 9883 4744 9884 4743 9884 4739 9884 4738 9885 4744 9885 4739 9885 4740 9886 4739 9886 4742 9886 4732 9887 4745 9887 4741 9887 4746 9888 4741 9888 4745 9888 4746 9889 4742 9889 4741 9889 4747 9890 4745 9890 4732 9890 4747 9891 4746 9891 4745 9891 4743 9892 4731 9892 4732 9892 4733 9893 4747 9893 4732 9893 4748 9894 4734 9894 4731 9894 4749 9895 4730 9895 4734 9895 4748 9896 4749 9896 4734 9896 4750 9897 4731 9897 4743 9897 4748 9898 4731 9898 4750 9898 4751 9899 4743 9899 4744 9899 4750 9900 4743 9900 4751 9900 4752 9901 4744 9901 4738 9901 4751 9902 4744 9902 4752 9902 4753 9903 4738 9903 4730 9903 4752 9904 4738 9904 4753 9904 4753 9905 4730 9905 4749 9905 4754 9906 4742 9906 4746 9906 4755 9907 4742 9907 4754 9907 4755 9908 4740 9908 4742 9908 4756 9909 4746 9909 4747 9909 4756 9910 4754 9910 4746 9910 4757 9911 4747 9911 4733 9911 4757 9912 4756 9912 4747 9912 4758 9913 4733 9913 4729 9913 4758 9914 4757 9914 4733 9914 4759 9915 4758 9915 4729 9915 4736 9916 4759 9916 4729 9916 4760 9917 4754 9917 4756 9917 4761 9918 4754 9918 4760 9918 4755 9919 4754 9919 4761 9919 4760 9920 4756 9920 4757 9920 4762 9921 4757 9921 4758 9921 4762 9922 4760 9922 4757 9922 4762 9923 4758 9923 4759 9923 4763 9924 4762 9924 4759 9924 4764 9925 4763 9925 4759 9925 4764 9926 4759 9926 4736 9926 4765 9927 4760 9927 4762 9927 4765 9928 4766 9928 4760 9928 4761 9929 4760 9929 4766 9929 4767 9930 4762 9930 4763 9930 4767 9931 4765 9931 4762 9931 4767 9932 4763 9932 4768 9932 4761 9933 4768 9933 4763 9933 4769 9934 4761 9934 4763 9934 4769 9935 4763 9935 4764 9935 4761 9936 4766 9936 4768 9936 4770 9937 4768 9937 4766 9937 4771 9938 4767 9938 4768 9938 4770 9939 4771 9939 4768 9939 4772 9940 4766 9940 4765 9940 4772 9941 4770 9941 4766 9941 4773 9942 4765 9942 4767 9942 4772 9943 4765 9943 4773 9943 4771 9944 4773 9944 4767 9944 4755 9945 4761 9945 4769 9945 4770 9946 4773 9946 4771 9946 4772 9947 4773 9947 4770 9947 4764 9948 4736 9948 4737 9948 4769 9949 4737 9949 4740 9949 4769 9950 4764 9950 4737 9950 4755 9951 4769 9951 4740 9951 4752 9952 4753 9952 4749 9952 4748 9953 4752 9953 4749 9953 4748 9954 4751 9954 4752 9954 4748 9955 4750 9955 4751 9955 4774 9956 4775 9956 4776 9956 4777 9957 4776 9957 4775 9957 4778 9958 4774 9958 4776 9958 4779 9959 4776 9959 4780 9959 4781 9960 4780 9960 4776 9960 4779 9961 4782 9961 4776 9961 4778 9962 4776 9962 4782 9962 4777 9963 4781 9963 4776 9963 4774 9964 4783 9964 4775 9964 4784 9965 4775 9965 4783 9965 4784 9966 4777 9966 4775 9966 4785 9967 4783 9967 4774 9967 4785 9968 4784 9968 4783 9968 4786 9969 4787 9969 4774 9969 4788 9970 4774 9970 4787 9970 4778 9971 4786 9971 4774 9971 4788 9972 4785 9972 4774 9972 4780 9973 4789 9973 4787 9973 4790 9974 4787 9974 4789 9974 4791 9975 4780 9975 4787 9975 4792 9976 4791 9976 4787 9976 4786 9977 4792 9977 4787 9977 4788 9978 4787 9978 4790 9978 4780 9979 4793 9979 4789 9979 4794 9980 4789 9980 4793 9980 4794 9981 4790 9981 4789 9981 4795 9982 4793 9982 4780 9982 4795 9983 4794 9983 4793 9983 4791 9984 4779 9984 4780 9984 4781 9985 4795 9985 4780 9985 4796 9986 4782 9986 4779 9986 4797 9987 4778 9987 4782 9987 4796 9988 4797 9988 4782 9988 4798 9989 4779 9989 4791 9989 4796 9990 4779 9990 4798 9990 4799 9991 4791 9991 4792 9991 4798 9992 4791 9992 4799 9992 4800 9993 4792 9993 4786 9993 4799 9994 4792 9994 4800 9994 4801 9995 4786 9995 4778 9995 4800 9996 4786 9996 4801 9996 4801 9997 4778 9997 4797 9997 4802 9998 4790 9998 4794 9998 4803 9999 4790 9999 4802 9999 4803 10000 4788 10000 4790 10000 4804 10001 4794 10001 4795 10001 4804 10002 4802 10002 4794 10002 4805 10003 4795 10003 4781 10003 4805 10004 4804 10004 4795 10004 4806 10005 4781 10005 4777 10005 4806 10006 4805 10006 4781 10006 4807 10007 4806 10007 4777 10007 4784 10008 4807 10008 4777 10008 4808 10009 4802 10009 4804 10009 4809 10010 4802 10010 4808 10010 4803 10011 4802 10011 4809 10011 4808 10012 4804 10012 4805 10012 4810 10013 4805 10013 4806 10013 4810 10014 4808 10014 4805 10014 4810 10015 4806 10015 4807 10015 4811 10016 4810 10016 4807 10016 4812 10017 4811 10017 4807 10017 4812 10018 4807 10018 4784 10018 4813 10019 4808 10019 4810 10019 4813 10020 4814 10020 4808 10020 4809 10021 4808 10021 4814 10021 4815 10022 4810 10022 4811 10022 4815 10023 4813 10023 4810 10023 4815 10024 4811 10024 4816 10024 4809 10025 4816 10025 4811 10025 4817 10026 4809 10026 4811 10026 4817 10027 4811 10027 4812 10027 4809 10028 4814 10028 4816 10028 4818 10029 4816 10029 4814 10029 4819 10030 4815 10030 4816 10030 4818 10031 4819 10031 4816 10031 4820 10032 4814 10032 4813 10032 4820 10033 4818 10033 4814 10033 4821 10034 4813 10034 4815 10034 4820 10035 4813 10035 4821 10035 4819 10036 4821 10036 4815 10036 4803 10037 4809 10037 4817 10037 4818 10038 4821 10038 4819 10038 4820 10039 4821 10039 4818 10039 4812 10040 4784 10040 4785 10040 4817 10041 4785 10041 4788 10041 4817 10042 4812 10042 4785 10042 4803 10043 4817 10043 4788 10043 4800 10044 4801 10044 4797 10044 4796 10045 4800 10045 4797 10045 4796 10046 4799 10046 4800 10046 4796 10047 4798 10047 4799 10047 4822 10048 4823 10048 4824 10048 4825 10049 4824 10049 4823 10049 4826 10050 4822 10050 4824 10050 4827 10051 4824 10051 4828 10051 4829 10052 4828 10052 4824 10052 4827 10053 4830 10053 4824 10053 4826 10054 4824 10054 4830 10054 4825 10055 4829 10055 4824 10055 4822 10056 4831 10056 4823 10056 4832 10057 4823 10057 4831 10057 4832 10058 4825 10058 4823 10058 4833 10059 4831 10059 4822 10059 4833 10060 4832 10060 4831 10060 4834 10061 4835 10061 4822 10061 4836 10062 4822 10062 4835 10062 4826 10063 4834 10063 4822 10063 4836 10064 4833 10064 4822 10064 4828 10065 4837 10065 4835 10065 4838 10066 4835 10066 4837 10066 4839 10067 4828 10067 4835 10067 4840 10068 4839 10068 4835 10068 4834 10069 4840 10069 4835 10069 4836 10070 4835 10070 4838 10070 4828 10071 4841 10071 4837 10071 4842 10072 4837 10072 4841 10072 4842 10073 4838 10073 4837 10073 4843 10074 4841 10074 4828 10074 4843 10075 4842 10075 4841 10075 4839 10076 4827 10076 4828 10076 4829 10077 4843 10077 4828 10077 4844 10078 4830 10078 4827 10078 4845 10079 4826 10079 4830 10079 4844 10080 4845 10080 4830 10080 4846 10081 4827 10081 4839 10081 4844 10082 4827 10082 4846 10082 4847 10083 4839 10083 4840 10083 4846 10084 4839 10084 4847 10084 4848 10085 4840 10085 4834 10085 4847 10086 4840 10086 4848 10086 4849 10087 4834 10087 4826 10087 4848 10088 4834 10088 4849 10088 4849 10089 4826 10089 4845 10089 4850 10090 4838 10090 4842 10090 4851 10091 4838 10091 4850 10091 4851 10092 4836 10092 4838 10092 4852 10093 4842 10093 4843 10093 4852 10094 4850 10094 4842 10094 4853 10095 4843 10095 4829 10095 4853 10096 4852 10096 4843 10096 4854 10097 4829 10097 4825 10097 4854 10098 4853 10098 4829 10098 4855 10099 4854 10099 4825 10099 4832 10100 4855 10100 4825 10100 4856 10101 4850 10101 4852 10101 4857 10102 4850 10102 4856 10102 4851 10103 4850 10103 4857 10103 4856 10104 4852 10104 4853 10104 4858 10105 4853 10105 4854 10105 4858 10106 4856 10106 4853 10106 4858 10107 4854 10107 4855 10107 4859 10108 4858 10108 4855 10108 4860 10109 4859 10109 4855 10109 4860 10110 4855 10110 4832 10110 4861 10111 4856 10111 4858 10111 4861 10112 4862 10112 4856 10112 4857 10113 4856 10113 4862 10113 4863 10114 4858 10114 4859 10114 4863 10115 4861 10115 4858 10115 4863 10116 4859 10116 4864 10116 4857 10117 4864 10117 4859 10117 4865 10118 4857 10118 4859 10118 4865 10119 4859 10119 4860 10119 4857 10120 4862 10120 4864 10120 4866 10121 4864 10121 4862 10121 4867 10122 4863 10122 4864 10122 4866 10123 4867 10123 4864 10123 4868 10124 4862 10124 4861 10124 4868 10125 4866 10125 4862 10125 4869 10126 4861 10126 4863 10126 4868 10127 4861 10127 4869 10127 4867 10128 4869 10128 4863 10128 4851 10129 4857 10129 4865 10129 4866 10130 4869 10130 4867 10130 4868 10131 4869 10131 4866 10131 4860 10132 4832 10132 4833 10132 4865 10133 4833 10133 4836 10133 4865 10134 4860 10134 4833 10134 4851 10135 4865 10135 4836 10135 4848 10136 4849 10136 4845 10136 4844 10137 4848 10137 4845 10137 4844 10138 4847 10138 4848 10138 4844 10139 4846 10139 4847 10139 4870 10140 4871 10140 4872 10140 4873 10141 4872 10141 4871 10141 4874 10142 4870 10142 4872 10142 4875 10143 4872 10143 4876 10143 4877 10144 4876 10144 4872 10144 4875 10145 4878 10145 4872 10145 4874 10146 4872 10146 4878 10146 4873 10147 4877 10147 4872 10147 4870 10148 4879 10148 4871 10148 4880 10149 4871 10149 4879 10149 4880 10150 4873 10150 4871 10150 4881 10151 4879 10151 4870 10151 4881 10152 4880 10152 4879 10152 4882 10153 4883 10153 4870 10153 4884 10154 4870 10154 4883 10154 4874 10155 4882 10155 4870 10155 4884 10156 4881 10156 4870 10156 4876 10157 4885 10157 4883 10157 4886 10158 4883 10158 4885 10158 4887 10159 4876 10159 4883 10159 4888 10160 4887 10160 4883 10160 4882 10161 4888 10161 4883 10161 4884 10162 4883 10162 4886 10162 4876 10163 4889 10163 4885 10163 4890 10164 4885 10164 4889 10164 4890 10165 4886 10165 4885 10165 4891 10166 4889 10166 4876 10166 4891 10167 4890 10167 4889 10167 4887 10168 4875 10168 4876 10168 4877 10169 4891 10169 4876 10169 4892 10170 4878 10170 4875 10170 4893 10171 4874 10171 4878 10171 4892 10172 4893 10172 4878 10172 4894 10173 4875 10173 4887 10173 4892 10174 4875 10174 4894 10174 4895 10175 4887 10175 4888 10175 4894 10176 4887 10176 4895 10176 4896 10177 4888 10177 4882 10177 4895 10178 4888 10178 4896 10178 4897 10179 4882 10179 4874 10179 4896 10180 4882 10180 4897 10180 4897 10181 4874 10181 4893 10181 4898 10182 4886 10182 4890 10182 4899 10183 4886 10183 4898 10183 4899 10184 4884 10184 4886 10184 4900 10185 4890 10185 4891 10185 4900 10186 4898 10186 4890 10186 4901 10187 4891 10187 4877 10187 4901 10188 4900 10188 4891 10188 4902 10189 4877 10189 4873 10189 4902 10190 4901 10190 4877 10190 4903 10191 4902 10191 4873 10191 4880 10192 4903 10192 4873 10192 4904 10193 4898 10193 4900 10193 4905 10194 4898 10194 4904 10194 4899 10195 4898 10195 4905 10195 4904 10196 4900 10196 4901 10196 4906 10197 4901 10197 4902 10197 4906 10198 4904 10198 4901 10198 4906 10199 4902 10199 4903 10199 4907 10200 4906 10200 4903 10200 4908 10201 4907 10201 4903 10201 4908 10202 4903 10202 4880 10202 4909 10203 4904 10203 4906 10203 4909 10204 4910 10204 4904 10204 4905 10205 4904 10205 4910 10205 4911 10206 4906 10206 4907 10206 4911 10207 4909 10207 4906 10207 4911 10208 4907 10208 4912 10208 4905 10209 4912 10209 4907 10209 4913 10210 4905 10210 4907 10210 4913 10211 4907 10211 4908 10211 4905 10212 4910 10212 4912 10212 4914 10213 4912 10213 4910 10213 4915 10214 4911 10214 4912 10214 4914 10215 4915 10215 4912 10215 4916 10216 4910 10216 4909 10216 4916 10217 4914 10217 4910 10217 4917 10218 4909 10218 4911 10218 4916 10219 4909 10219 4917 10219 4915 10220 4917 10220 4911 10220 4899 10221 4905 10221 4913 10221 4914 10222 4917 10222 4915 10222 4916 10223 4917 10223 4914 10223 4908 10224 4880 10224 4881 10224 4913 10225 4881 10225 4884 10225 4913 10226 4908 10226 4881 10226 4899 10227 4913 10227 4884 10227 4896 10228 4897 10228 4893 10228 4892 10229 4896 10229 4893 10229 4892 10230 4895 10230 4896 10230 4892 10231 4894 10231 4895 10231 4918 10232 4919 10232 4920 10232 4921 10233 4920 10233 4919 10233 4922 10234 4918 10234 4920 10234 4923 10235 4920 10235 4924 10235 4925 10236 4924 10236 4920 10236 4923 10237 4926 10237 4920 10237 4922 10238 4920 10238 4926 10238 4921 10239 4925 10239 4920 10239 4918 10240 4927 10240 4919 10240 4928 10241 4919 10241 4927 10241 4928 10242 4921 10242 4919 10242 4929 10243 4927 10243 4918 10243 4929 10244 4928 10244 4927 10244 4930 10245 4931 10245 4918 10245 4932 10246 4918 10246 4931 10246 4922 10247 4930 10247 4918 10247 4932 10248 4929 10248 4918 10248 4924 10249 4933 10249 4931 10249 4934 10250 4931 10250 4933 10250 4935 10251 4924 10251 4931 10251 4936 10252 4935 10252 4931 10252 4930 10253 4936 10253 4931 10253 4932 10254 4931 10254 4934 10254 4924 10255 4937 10255 4933 10255 4938 10256 4933 10256 4937 10256 4938 10257 4934 10257 4933 10257 4939 10258 4937 10258 4924 10258 4939 10259 4938 10259 4937 10259 4935 10260 4923 10260 4924 10260 4925 10261 4939 10261 4924 10261 4940 10262 4926 10262 4923 10262 4941 10263 4922 10263 4926 10263 4940 10264 4941 10264 4926 10264 4942 10265 4923 10265 4935 10265 4940 10266 4923 10266 4942 10266 4943 10267 4935 10267 4936 10267 4942 10268 4935 10268 4943 10268 4944 10269 4936 10269 4930 10269 4943 10270 4936 10270 4944 10270 4945 10271 4930 10271 4922 10271 4944 10272 4930 10272 4945 10272 4945 10273 4922 10273 4941 10273 4946 10274 4934 10274 4938 10274 4947 10275 4934 10275 4946 10275 4947 10276 4932 10276 4934 10276 4948 10277 4938 10277 4939 10277 4948 10278 4946 10278 4938 10278 4949 10279 4939 10279 4925 10279 4949 10280 4948 10280 4939 10280 4950 10281 4925 10281 4921 10281 4950 10282 4949 10282 4925 10282 4951 10283 4950 10283 4921 10283 4928 10284 4951 10284 4921 10284 4952 10285 4946 10285 4948 10285 4953 10286 4946 10286 4952 10286 4947 10287 4946 10287 4953 10287 4952 10288 4948 10288 4949 10288 4954 10289 4949 10289 4950 10289 4954 10290 4952 10290 4949 10290 4954 10291 4950 10291 4951 10291 4955 10292 4954 10292 4951 10292 4956 10293 4955 10293 4951 10293 4956 10294 4951 10294 4928 10294 4957 10295 4952 10295 4954 10295 4957 10296 4958 10296 4952 10296 4953 10297 4952 10297 4958 10297 4959 10298 4954 10298 4955 10298 4959 10299 4957 10299 4954 10299 4959 10300 4955 10300 4960 10300 4953 10301 4960 10301 4955 10301 4961 10302 4953 10302 4955 10302 4961 10303 4955 10303 4956 10303 4953 10304 4958 10304 4960 10304 4962 10305 4960 10305 4958 10305 4963 10306 4959 10306 4960 10306 4962 10307 4963 10307 4960 10307 4964 10308 4958 10308 4957 10308 4964 10309 4962 10309 4958 10309 4965 10310 4957 10310 4959 10310 4964 10311 4957 10311 4965 10311 4963 10312 4965 10312 4959 10312 4947 10313 4953 10313 4961 10313 4962 10314 4965 10314 4963 10314 4964 10315 4965 10315 4962 10315 4956 10316 4928 10316 4929 10316 4961 10317 4929 10317 4932 10317 4961 10318 4956 10318 4929 10318 4947 10319 4961 10319 4932 10319 4944 10320 4945 10320 4941 10320 4940 10321 4944 10321 4941 10321 4940 10322 4943 10322 4944 10322 4940 10323 4942 10323 4943 10323 4966 10324 4967 10324 4968 10324 4969 10325 4968 10325 4967 10325 4970 10326 4966 10326 4968 10326 4971 10327 4968 10327 4972 10327 4973 10328 4972 10328 4968 10328 4971 10329 4974 10329 4968 10329 4970 10330 4968 10330 4974 10330 4969 10331 4973 10331 4968 10331 4966 10332 4975 10332 4967 10332 4976 10333 4967 10333 4975 10333 4976 10334 4969 10334 4967 10334 4977 10335 4975 10335 4966 10335 4977 10336 4976 10336 4975 10336 4978 10337 4979 10337 4966 10337 4980 10338 4966 10338 4979 10338 4970 10339 4978 10339 4966 10339 4980 10340 4977 10340 4966 10340 4972 10341 4981 10341 4979 10341 4982 10342 4979 10342 4981 10342 4983 10343 4972 10343 4979 10343 4984 10344 4983 10344 4979 10344 4978 10345 4984 10345 4979 10345 4980 10346 4979 10346 4982 10346 4972 10347 4985 10347 4981 10347 4986 10348 4981 10348 4985 10348 4986 10349 4982 10349 4981 10349 4987 10350 4985 10350 4972 10350 4987 10351 4986 10351 4985 10351 4983 10352 4971 10352 4972 10352 4973 10353 4987 10353 4972 10353 4988 10354 4974 10354 4971 10354 4989 10355 4970 10355 4974 10355 4988 10356 4989 10356 4974 10356 4990 10357 4971 10357 4983 10357 4988 10358 4971 10358 4990 10358 4991 10359 4983 10359 4984 10359 4990 10360 4983 10360 4991 10360 4992 10361 4984 10361 4978 10361 4991 10362 4984 10362 4992 10362 4993 10363 4978 10363 4970 10363 4992 10364 4978 10364 4993 10364 4993 10365 4970 10365 4989 10365 4994 10366 4982 10366 4986 10366 4995 10367 4982 10367 4994 10367 4995 10368 4980 10368 4982 10368 4996 10369 4986 10369 4987 10369 4996 10370 4994 10370 4986 10370 4997 10371 4987 10371 4973 10371 4997 10372 4996 10372 4987 10372 4998 10373 4973 10373 4969 10373 4998 10374 4997 10374 4973 10374 4999 10375 4998 10375 4969 10375 4976 10376 4999 10376 4969 10376 5000 10377 4994 10377 4996 10377 5001 10378 4994 10378 5000 10378 4995 10379 4994 10379 5001 10379 5000 10380 4996 10380 4997 10380 5002 10381 4997 10381 4998 10381 5002 10382 5000 10382 4997 10382 5002 10383 4998 10383 4999 10383 5003 10384 5002 10384 4999 10384 5004 10385 5003 10385 4999 10385 5004 10386 4999 10386 4976 10386 5005 10387 5000 10387 5002 10387 5005 10388 5006 10388 5000 10388 5001 10389 5000 10389 5006 10389 5007 10390 5002 10390 5003 10390 5007 10391 5005 10391 5002 10391 5007 10392 5003 10392 5008 10392 5001 10393 5008 10393 5003 10393 5009 10394 5001 10394 5003 10394 5009 10395 5003 10395 5004 10395 5001 10396 5006 10396 5008 10396 5010 10397 5008 10397 5006 10397 5011 10398 5007 10398 5008 10398 5010 10399 5011 10399 5008 10399 5012 10400 5006 10400 5005 10400 5012 10401 5010 10401 5006 10401 5013 10402 5005 10402 5007 10402 5012 10403 5005 10403 5013 10403 5011 10404 5013 10404 5007 10404 4995 10405 5001 10405 5009 10405 5010 10406 5013 10406 5011 10406 5012 10407 5013 10407 5010 10407 5004 10408 4976 10408 4977 10408 5009 10409 4977 10409 4980 10409 5009 10410 5004 10410 4977 10410 4995 10411 5009 10411 4980 10411 4992 10412 4993 10412 4989 10412 4988 10413 4992 10413 4989 10413 4988 10414 4991 10414 4992 10414 4988 10415 4990 10415 4991 10415 5014 10416 5015 10416 5016 10416 5017 10417 5016 10417 5015 10417 5018 10418 5014 10418 5016 10418 5019 10419 5016 10419 5020 10419 5021 10420 5020 10420 5016 10420 5019 10421 5022 10421 5016 10421 5018 10422 5016 10422 5022 10422 5017 10423 5021 10423 5016 10423 5014 10424 5023 10424 5015 10424 5024 10425 5015 10425 5023 10425 5024 10426 5017 10426 5015 10426 5025 10427 5023 10427 5014 10427 5025 10428 5024 10428 5023 10428 5026 10429 5027 10429 5014 10429 5028 10430 5014 10430 5027 10430 5018 10431 5026 10431 5014 10431 5028 10432 5025 10432 5014 10432 5020 10433 5029 10433 5027 10433 5030 10434 5027 10434 5029 10434 5031 10435 5020 10435 5027 10435 5032 10436 5031 10436 5027 10436 5026 10437 5032 10437 5027 10437 5028 10438 5027 10438 5030 10438 5020 10439 5033 10439 5029 10439 5034 10440 5029 10440 5033 10440 5034 10441 5030 10441 5029 10441 5035 10442 5033 10442 5020 10442 5035 10443 5034 10443 5033 10443 5031 10444 5019 10444 5020 10444 5021 10445 5035 10445 5020 10445 5036 10446 5022 10446 5019 10446 5037 10447 5018 10447 5022 10447 5036 10448 5037 10448 5022 10448 5038 10449 5019 10449 5031 10449 5036 10450 5019 10450 5038 10450 5039 10451 5031 10451 5032 10451 5038 10452 5031 10452 5039 10452 5040 10453 5032 10453 5026 10453 5039 10454 5032 10454 5040 10454 5041 10455 5026 10455 5018 10455 5040 10456 5026 10456 5041 10456 5041 10457 5018 10457 5037 10457 5042 10458 5030 10458 5034 10458 5043 10459 5030 10459 5042 10459 5043 10460 5028 10460 5030 10460 5044 10461 5034 10461 5035 10461 5044 10462 5042 10462 5034 10462 5045 10463 5035 10463 5021 10463 5045 10464 5044 10464 5035 10464 5046 10465 5021 10465 5017 10465 5046 10466 5045 10466 5021 10466 5047 10467 5046 10467 5017 10467 5024 10468 5047 10468 5017 10468 5048 10469 5042 10469 5044 10469 5049 10470 5042 10470 5048 10470 5043 10471 5042 10471 5049 10471 5048 10472 5044 10472 5045 10472 5050 10473 5045 10473 5046 10473 5050 10474 5048 10474 5045 10474 5050 10475 5046 10475 5047 10475 5051 10476 5050 10476 5047 10476 5052 10477 5051 10477 5047 10477 5052 10478 5047 10478 5024 10478 5053 10479 5048 10479 5050 10479 5053 10480 5054 10480 5048 10480 5049 10481 5048 10481 5054 10481 5055 10482 5050 10482 5051 10482 5055 10483 5053 10483 5050 10483 5055 10484 5051 10484 5056 10484 5049 10485 5056 10485 5051 10485 5057 10486 5049 10486 5051 10486 5057 10487 5051 10487 5052 10487 5049 10488 5054 10488 5056 10488 5058 10489 5056 10489 5054 10489 5059 10490 5055 10490 5056 10490 5058 10491 5059 10491 5056 10491 5060 10492 5054 10492 5053 10492 5060 10493 5058 10493 5054 10493 5061 10494 5053 10494 5055 10494 5060 10495 5053 10495 5061 10495 5059 10496 5061 10496 5055 10496 5043 10497 5049 10497 5057 10497 5058 10498 5061 10498 5059 10498 5060 10499 5061 10499 5058 10499 5052 10500 5024 10500 5025 10500 5057 10501 5025 10501 5028 10501 5057 10502 5052 10502 5025 10502 5043 10503 5057 10503 5028 10503 5040 10504 5041 10504 5037 10504 5036 10505 5040 10505 5037 10505 5036 10506 5039 10506 5040 10506 5036 10507 5038 10507 5039 10507 5062 10508 5063 10508 5064 10508 5065 10509 5064 10509 5063 10509 5066 10510 5062 10510 5064 10510 5067 10511 5064 10511 5068 10511 5069 10512 5068 10512 5064 10512 5067 10513 5070 10513 5064 10513 5066 10514 5064 10514 5070 10514 5065 10515 5069 10515 5064 10515 5062 10516 5071 10516 5063 10516 5072 10517 5063 10517 5071 10517 5072 10518 5065 10518 5063 10518 5073 10519 5071 10519 5062 10519 5073 10520 5072 10520 5071 10520 5074 10521 5075 10521 5062 10521 5076 10522 5062 10522 5075 10522 5066 10523 5074 10523 5062 10523 5076 10524 5073 10524 5062 10524 5068 10525 5077 10525 5075 10525 5078 10526 5075 10526 5077 10526 5079 10527 5068 10527 5075 10527 5080 10528 5079 10528 5075 10528 5074 10529 5080 10529 5075 10529 5076 10530 5075 10530 5078 10530 5068 10531 5081 10531 5077 10531 5082 10532 5077 10532 5081 10532 5082 10533 5078 10533 5077 10533 5083 10534 5081 10534 5068 10534 5083 10535 5082 10535 5081 10535 5079 10536 5067 10536 5068 10536 5069 10537 5083 10537 5068 10537 5084 10538 5070 10538 5067 10538 5085 10539 5066 10539 5070 10539 5084 10540 5085 10540 5070 10540 5086 10541 5067 10541 5079 10541 5084 10542 5067 10542 5086 10542 5087 10543 5079 10543 5080 10543 5086 10544 5079 10544 5087 10544 5088 10545 5080 10545 5074 10545 5087 10546 5080 10546 5088 10546 5089 10547 5074 10547 5066 10547 5088 10548 5074 10548 5089 10548 5089 10549 5066 10549 5085 10549 5090 10550 5078 10550 5082 10550 5091 10551 5078 10551 5090 10551 5091 10552 5076 10552 5078 10552 5092 10553 5082 10553 5083 10553 5092 10554 5090 10554 5082 10554 5093 10555 5083 10555 5069 10555 5093 10556 5092 10556 5083 10556 5094 10557 5069 10557 5065 10557 5094 10558 5093 10558 5069 10558 5095 10559 5094 10559 5065 10559 5072 10560 5095 10560 5065 10560 5096 10561 5090 10561 5092 10561 5097 10562 5090 10562 5096 10562 5091 10563 5090 10563 5097 10563 5096 10564 5092 10564 5093 10564 5098 10565 5093 10565 5094 10565 5098 10566 5096 10566 5093 10566 5098 10567 5094 10567 5095 10567 5099 10568 5098 10568 5095 10568 5100 10569 5099 10569 5095 10569 5100 10570 5095 10570 5072 10570 5101 10571 5096 10571 5098 10571 5101 10572 5102 10572 5096 10572 5097 10573 5096 10573 5102 10573 5103 10574 5098 10574 5099 10574 5103 10575 5101 10575 5098 10575 5103 10576 5099 10576 5104 10576 5097 10577 5104 10577 5099 10577 5105 10578 5097 10578 5099 10578 5105 10579 5099 10579 5100 10579 5097 10580 5102 10580 5104 10580 5106 10581 5104 10581 5102 10581 5107 10582 5103 10582 5104 10582 5106 10583 5107 10583 5104 10583 5108 10584 5102 10584 5101 10584 5108 10585 5106 10585 5102 10585 5109 10586 5101 10586 5103 10586 5108 10587 5101 10587 5109 10587 5107 10588 5109 10588 5103 10588 5091 10589 5097 10589 5105 10589 5106 10590 5109 10590 5107 10590 5108 10591 5109 10591 5106 10591 5100 10592 5072 10592 5073 10592 5105 10593 5073 10593 5076 10593 5105 10594 5100 10594 5073 10594 5091 10595 5105 10595 5076 10595 5088 10596 5089 10596 5085 10596 5084 10597 5088 10597 5085 10597 5084 10598 5087 10598 5088 10598 5084 10599 5086 10599 5087 10599 5110 10600 5111 10600 5112 10600 5113 10601 5112 10601 5111 10601 5114 10602 5110 10602 5112 10602 5115 10603 5112 10603 5116 10603 5117 10604 5116 10604 5112 10604 5115 10605 5118 10605 5112 10605 5114 10606 5112 10606 5118 10606 5113 10607 5117 10607 5112 10607 5110 10608 5119 10608 5111 10608 5120 10609 5111 10609 5119 10609 5120 10610 5113 10610 5111 10610 5121 10611 5119 10611 5110 10611 5121 10612 5120 10612 5119 10612 5122 10613 5123 10613 5110 10613 5124 10614 5110 10614 5123 10614 5114 10615 5122 10615 5110 10615 5124 10616 5121 10616 5110 10616 5116 10617 5125 10617 5123 10617 5126 10618 5123 10618 5125 10618 5127 10619 5116 10619 5123 10619 5128 10620 5127 10620 5123 10620 5122 10621 5128 10621 5123 10621 5124 10622 5123 10622 5126 10622 5116 10623 5129 10623 5125 10623 5130 10624 5125 10624 5129 10624 5130 10625 5126 10625 5125 10625 5131 10626 5129 10626 5116 10626 5131 10627 5130 10627 5129 10627 5127 10628 5115 10628 5116 10628 5117 10629 5131 10629 5116 10629 5132 10630 5118 10630 5115 10630 5133 10631 5114 10631 5118 10631 5132 10632 5133 10632 5118 10632 5134 10633 5115 10633 5127 10633 5132 10634 5115 10634 5134 10634 5135 10635 5127 10635 5128 10635 5134 10636 5127 10636 5135 10636 5136 10637 5128 10637 5122 10637 5135 10638 5128 10638 5136 10638 5137 10639 5122 10639 5114 10639 5136 10640 5122 10640 5137 10640 5137 10641 5114 10641 5133 10641 5138 10642 5126 10642 5130 10642 5139 10643 5126 10643 5138 10643 5139 10644 5124 10644 5126 10644 5140 10645 5130 10645 5131 10645 5140 10646 5138 10646 5130 10646 5141 10647 5131 10647 5117 10647 5141 10648 5140 10648 5131 10648 5142 10649 5117 10649 5113 10649 5142 10650 5141 10650 5117 10650 5143 10651 5142 10651 5113 10651 5120 10652 5143 10652 5113 10652 5144 10653 5138 10653 5140 10653 5145 10654 5138 10654 5144 10654 5139 10655 5138 10655 5145 10655 5144 10656 5140 10656 5141 10656 5146 10657 5141 10657 5142 10657 5146 10658 5144 10658 5141 10658 5146 10659 5142 10659 5143 10659 5147 10660 5146 10660 5143 10660 5148 10661 5147 10661 5143 10661 5148 10662 5143 10662 5120 10662 5149 10663 5144 10663 5146 10663 5149 10664 5150 10664 5144 10664 5145 10665 5144 10665 5150 10665 5151 10666 5146 10666 5147 10666 5151 10667 5149 10667 5146 10667 5151 10668 5147 10668 5152 10668 5145 10669 5152 10669 5147 10669 5153 10670 5145 10670 5147 10670 5153 10671 5147 10671 5148 10671 5145 10672 5150 10672 5152 10672 5154 10673 5152 10673 5150 10673 5155 10674 5151 10674 5152 10674 5154 10675 5155 10675 5152 10675 5156 10676 5150 10676 5149 10676 5156 10677 5154 10677 5150 10677 5157 10678 5149 10678 5151 10678 5156 10679 5149 10679 5157 10679 5155 10680 5157 10680 5151 10680 5139 10681 5145 10681 5153 10681 5154 10682 5157 10682 5155 10682 5156 10683 5157 10683 5154 10683 5148 10684 5120 10684 5121 10684 5153 10685 5121 10685 5124 10685 5153 10686 5148 10686 5121 10686 5139 10687 5153 10687 5124 10687 5136 10688 5137 10688 5133 10688 5132 10689 5136 10689 5133 10689 5132 10690 5135 10690 5136 10690 5132 10691 5134 10691 5135 10691 5158 10692 5159 10692 5160 10692 5161 10693 5160 10693 5159 10693 5162 10694 5158 10694 5160 10694 5163 10695 5160 10695 5164 10695 5165 10696 5164 10696 5160 10696 5163 10697 5166 10697 5160 10697 5162 10698 5160 10698 5166 10698 5161 10699 5165 10699 5160 10699 5158 10700 5167 10700 5159 10700 5168 10701 5159 10701 5167 10701 5168 10702 5161 10702 5159 10702 5169 10703 5167 10703 5158 10703 5169 10704 5168 10704 5167 10704 5170 10705 5171 10705 5158 10705 5172 10706 5158 10706 5171 10706 5162 10707 5170 10707 5158 10707 5172 10708 5169 10708 5158 10708 5164 10709 5173 10709 5171 10709 5174 10710 5171 10710 5173 10710 5175 10711 5164 10711 5171 10711 5176 10712 5175 10712 5171 10712 5170 10713 5176 10713 5171 10713 5172 10714 5171 10714 5174 10714 5164 10715 5177 10715 5173 10715 5178 10716 5173 10716 5177 10716 5178 10717 5174 10717 5173 10717 5179 10718 5177 10718 5164 10718 5179 10719 5178 10719 5177 10719 5175 10720 5163 10720 5164 10720 5165 10721 5179 10721 5164 10721 5180 10722 5166 10722 5163 10722 5181 10723 5162 10723 5166 10723 5180 10724 5181 10724 5166 10724 5182 10725 5163 10725 5175 10725 5180 10726 5163 10726 5182 10726 5183 10727 5175 10727 5176 10727 5182 10728 5175 10728 5183 10728 5184 10729 5176 10729 5170 10729 5183 10730 5176 10730 5184 10730 5185 10731 5170 10731 5162 10731 5184 10732 5170 10732 5185 10732 5185 10733 5162 10733 5181 10733 5186 10734 5174 10734 5178 10734 5187 10735 5174 10735 5186 10735 5187 10736 5172 10736 5174 10736 5188 10737 5178 10737 5179 10737 5188 10738 5186 10738 5178 10738 5189 10739 5179 10739 5165 10739 5189 10740 5188 10740 5179 10740 5190 10741 5165 10741 5161 10741 5190 10742 5189 10742 5165 10742 5191 10743 5190 10743 5161 10743 5168 10744 5191 10744 5161 10744 5192 10745 5186 10745 5188 10745 5193 10746 5186 10746 5192 10746 5187 10747 5186 10747 5193 10747 5192 10748 5188 10748 5189 10748 5194 10749 5189 10749 5190 10749 5194 10750 5192 10750 5189 10750 5194 10751 5190 10751 5191 10751 5195 10752 5194 10752 5191 10752 5196 10753 5195 10753 5191 10753 5196 10754 5191 10754 5168 10754 5197 10755 5192 10755 5194 10755 5197 10756 5198 10756 5192 10756 5193 10757 5192 10757 5198 10757 5199 10758 5194 10758 5195 10758 5199 10759 5197 10759 5194 10759 5199 10760 5195 10760 5200 10760 5193 10761 5200 10761 5195 10761 5201 10762 5193 10762 5195 10762 5201 10763 5195 10763 5196 10763 5193 10764 5198 10764 5200 10764 5202 10765 5200 10765 5198 10765 5203 10766 5199 10766 5200 10766 5202 10767 5203 10767 5200 10767 5204 10768 5198 10768 5197 10768 5204 10769 5202 10769 5198 10769 5205 10770 5197 10770 5199 10770 5204 10771 5197 10771 5205 10771 5203 10772 5205 10772 5199 10772 5187 10773 5193 10773 5201 10773 5202 10774 5205 10774 5203 10774 5204 10775 5205 10775 5202 10775 5196 10776 5168 10776 5169 10776 5201 10777 5169 10777 5172 10777 5201 10778 5196 10778 5169 10778 5187 10779 5201 10779 5172 10779 5184 10780 5185 10780 5181 10780 5180 10781 5184 10781 5181 10781 5180 10782 5183 10782 5184 10782 5180 10783 5182 10783 5183 10783 5206 10784 5207 10784 5208 10784 5209 10785 5208 10785 5207 10785 5210 10786 5206 10786 5208 10786 5211 10787 5208 10787 5212 10787 5213 10788 5212 10788 5208 10788 5211 10789 5214 10789 5208 10789 5210 10790 5208 10790 5214 10790 5209 10791 5213 10791 5208 10791 5206 10792 5215 10792 5207 10792 5216 10793 5207 10793 5215 10793 5216 10794 5209 10794 5207 10794 5217 10795 5215 10795 5206 10795 5217 10796 5216 10796 5215 10796 5218 10797 5219 10797 5206 10797 5220 10798 5206 10798 5219 10798 5210 10799 5218 10799 5206 10799 5220 10800 5217 10800 5206 10800 5212 10801 5221 10801 5219 10801 5222 10802 5219 10802 5221 10802 5223 10803 5212 10803 5219 10803 5224 10804 5223 10804 5219 10804 5218 10805 5224 10805 5219 10805 5220 10806 5219 10806 5222 10806 5212 10807 5225 10807 5221 10807 5226 10808 5221 10808 5225 10808 5226 10809 5222 10809 5221 10809 5227 10810 5225 10810 5212 10810 5227 10811 5226 10811 5225 10811 5223 10812 5211 10812 5212 10812 5213 10813 5227 10813 5212 10813 5228 10814 5214 10814 5211 10814 5229 10815 5210 10815 5214 10815 5228 10816 5229 10816 5214 10816 5230 10817 5211 10817 5223 10817 5228 10818 5211 10818 5230 10818 5231 10819 5223 10819 5224 10819 5230 10820 5223 10820 5231 10820 5232 10821 5224 10821 5218 10821 5231 10822 5224 10822 5232 10822 5233 10823 5218 10823 5210 10823 5232 10824 5218 10824 5233 10824 5233 10825 5210 10825 5229 10825 5234 10826 5222 10826 5226 10826 5235 10827 5222 10827 5234 10827 5235 10828 5220 10828 5222 10828 5236 10829 5226 10829 5227 10829 5236 10830 5234 10830 5226 10830 5237 10831 5227 10831 5213 10831 5237 10832 5236 10832 5227 10832 5238 10833 5213 10833 5209 10833 5238 10834 5237 10834 5213 10834 5239 10835 5238 10835 5209 10835 5216 10836 5239 10836 5209 10836 5240 10837 5234 10837 5236 10837 5241 10838 5234 10838 5240 10838 5235 10839 5234 10839 5241 10839 5240 10840 5236 10840 5237 10840 5242 10841 5237 10841 5238 10841 5242 10842 5240 10842 5237 10842 5242 10843 5238 10843 5239 10843 5243 10844 5242 10844 5239 10844 5244 10845 5243 10845 5239 10845 5244 10846 5239 10846 5216 10846 5245 10847 5240 10847 5242 10847 5245 10848 5246 10848 5240 10848 5241 10849 5240 10849 5246 10849 5247 10850 5242 10850 5243 10850 5247 10851 5245 10851 5242 10851 5247 10852 5243 10852 5248 10852 5241 10853 5248 10853 5243 10853 5249 10854 5241 10854 5243 10854 5249 10855 5243 10855 5244 10855 5241 10856 5246 10856 5248 10856 5250 10857 5248 10857 5246 10857 5251 10858 5247 10858 5248 10858 5250 10859 5251 10859 5248 10859 5252 10860 5246 10860 5245 10860 5252 10861 5250 10861 5246 10861 5253 10862 5245 10862 5247 10862 5252 10863 5245 10863 5253 10863 5251 10864 5253 10864 5247 10864 5235 10865 5241 10865 5249 10865 5250 10866 5253 10866 5251 10866 5252 10867 5253 10867 5250 10867 5244 10868 5216 10868 5217 10868 5249 10869 5217 10869 5220 10869 5249 10870 5244 10870 5217 10870 5235 10871 5249 10871 5220 10871 5232 10872 5233 10872 5229 10872 5228 10873 5232 10873 5229 10873 5228 10874 5231 10874 5232 10874 5228 10875 5230 10875 5231 10875 5254 10876 5255 10876 5256 10876 5257 10877 5256 10877 5255 10877 5258 10878 5254 10878 5256 10878 5259 10879 5256 10879 5260 10879 5261 10880 5260 10880 5256 10880 5259 10881 5262 10881 5256 10881 5258 10882 5256 10882 5262 10882 5257 10883 5261 10883 5256 10883 5254 10884 5263 10884 5255 10884 5264 10885 5255 10885 5263 10885 5264 10886 5257 10886 5255 10886 5265 10887 5263 10887 5254 10887 5265 10888 5264 10888 5263 10888 5266 10889 5267 10889 5254 10889 5268 10890 5254 10890 5267 10890 5258 10891 5266 10891 5254 10891 5268 10892 5265 10892 5254 10892 5260 10893 5269 10893 5267 10893 5270 10894 5267 10894 5269 10894 5271 10895 5260 10895 5267 10895 5272 10896 5271 10896 5267 10896 5266 10897 5272 10897 5267 10897 5268 10898 5267 10898 5270 10898 5260 10899 5273 10899 5269 10899 5274 10900 5269 10900 5273 10900 5274 10901 5270 10901 5269 10901 5275 10902 5273 10902 5260 10902 5275 10903 5274 10903 5273 10903 5271 10904 5259 10904 5260 10904 5261 10905 5275 10905 5260 10905 5276 10906 5262 10906 5259 10906 5277 10907 5258 10907 5262 10907 5276 10908 5277 10908 5262 10908 5278 10909 5259 10909 5271 10909 5276 10910 5259 10910 5278 10910 5279 10911 5271 10911 5272 10911 5278 10912 5271 10912 5279 10912 5280 10913 5272 10913 5266 10913 5279 10914 5272 10914 5280 10914 5281 10915 5266 10915 5258 10915 5280 10916 5266 10916 5281 10916 5281 10917 5258 10917 5277 10917 5282 10918 5270 10918 5274 10918 5283 10919 5270 10919 5282 10919 5283 10920 5268 10920 5270 10920 5284 10921 5274 10921 5275 10921 5284 10922 5282 10922 5274 10922 5285 10923 5275 10923 5261 10923 5285 10924 5284 10924 5275 10924 5286 10925 5261 10925 5257 10925 5286 10926 5285 10926 5261 10926 5287 10927 5286 10927 5257 10927 5264 10928 5287 10928 5257 10928 5288 10929 5282 10929 5284 10929 5289 10930 5282 10930 5288 10930 5283 10931 5282 10931 5289 10931 5288 10932 5284 10932 5285 10932 5290 10933 5285 10933 5286 10933 5290 10934 5288 10934 5285 10934 5290 10935 5286 10935 5287 10935 5291 10936 5290 10936 5287 10936 5292 10937 5291 10937 5287 10937 5292 10938 5287 10938 5264 10938 5293 10939 5288 10939 5290 10939 5293 10940 5294 10940 5288 10940 5289 10941 5288 10941 5294 10941 5295 10942 5290 10942 5291 10942 5295 10943 5293 10943 5290 10943 5295 10944 5291 10944 5296 10944 5289 10945 5296 10945 5291 10945 5297 10946 5289 10946 5291 10946 5297 10947 5291 10947 5292 10947 5289 10948 5294 10948 5296 10948 5298 10949 5296 10949 5294 10949 5299 10950 5295 10950 5296 10950 5298 10951 5299 10951 5296 10951 5300 10952 5294 10952 5293 10952 5300 10953 5298 10953 5294 10953 5301 10954 5293 10954 5295 10954 5300 10955 5293 10955 5301 10955 5299 10956 5301 10956 5295 10956 5283 10957 5289 10957 5297 10957 5298 10958 5301 10958 5299 10958 5300 10959 5301 10959 5298 10959 5292 10960 5264 10960 5265 10960 5297 10961 5265 10961 5268 10961 5297 10962 5292 10962 5265 10962 5283 10963 5297 10963 5268 10963 5280 10964 5281 10964 5277 10964 5276 10965 5280 10965 5277 10965 5276 10966 5279 10966 5280 10966 5276 10967 5278 10967 5279 10967 5302 10968 5303 10968 5304 10968 5305 10969 5304 10969 5303 10969 5306 10970 5304 10970 5307 10970 5308 10971 5307 10971 5304 10971 5302 10972 5304 10972 5306 10972 5308 10973 5304 10973 5305 10973 5302 10974 5309 10974 5303 10974 5310 10975 5303 10975 5309 10975 5310 10976 5305 10976 5303 10976 5311 10977 5312 10977 5309 10977 5313 10978 5309 10978 5312 10978 5314 10979 5311 10979 5309 10979 5302 10980 5314 10980 5309 10980 5313 10981 5310 10981 5309 10981 5315 10982 5316 10982 5312 10982 5317 10983 5312 10983 5316 10983 5311 10984 5315 10984 5312 10984 5317 10985 5313 10985 5312 10985 5315 10986 5307 10986 5316 10986 5318 10987 5316 10987 5307 10987 5318 10988 5317 10988 5316 10988 5319 10989 5306 10989 5307 10989 5315 10990 5319 10990 5307 10990 5308 10991 5318 10991 5307 10991 5320 10992 5306 10992 5319 10992 5321 10993 5302 10993 5306 10993 5320 10994 5321 10994 5306 10994 5322 10995 5319 10995 5315 10995 5322 10996 5320 10996 5319 10996 5323 10997 5315 10997 5311 10997 5323 10998 5322 10998 5315 10998 5324 10999 5311 10999 5314 10999 5323 11000 5311 11000 5324 11000 5325 11001 5314 11001 5302 11001 5325 11002 5324 11002 5314 11002 5321 11003 5325 11003 5302 11003 5326 11004 5305 11004 5310 11004 5327 11005 5305 11005 5326 11005 5327 11006 5308 11006 5305 11006 5328 11007 5310 11007 5313 11007 5328 11008 5326 11008 5310 11008 5329 11009 5313 11009 5317 11009 5329 11010 5328 11010 5313 11010 5330 11011 5329 11011 5317 11011 5318 11012 5330 11012 5317 11012 5331 11013 5326 11013 5328 11013 5332 11014 5326 11014 5331 11014 5327 11015 5326 11015 5332 11015 5333 11016 5328 11016 5329 11016 5333 11017 5331 11017 5328 11017 5334 11018 5329 11018 5330 11018 5334 11019 5333 11019 5329 11019 5335 11020 5334 11020 5330 11020 5336 11021 5335 11021 5330 11021 5336 11022 5330 11022 5318 11022 5337 11023 5331 11023 5333 11023 5338 11024 5332 11024 5331 11024 5338 11025 5331 11025 5337 11025 5339 11026 5333 11026 5334 11026 5340 11027 5337 11027 5333 11027 5339 11028 5340 11028 5333 11028 5339 11029 5334 11029 5335 11029 5341 11030 5335 11030 5342 11030 5336 11031 5342 11031 5335 11031 5341 11032 5339 11032 5335 11032 5338 11033 5342 11033 5332 11033 5327 11034 5332 11034 5342 11034 5343 11035 5341 11035 5342 11035 5338 11036 5343 11036 5342 11036 5327 11037 5342 11037 5336 11037 5344 11038 5337 11038 5340 11038 5345 11039 5338 11039 5337 11039 5345 11040 5337 11040 5344 11040 5346 11041 5340 11041 5339 11041 5344 11042 5340 11042 5346 11042 5347 11043 5339 11043 5341 11043 5346 11044 5339 11044 5347 11044 5348 11045 5341 11045 5343 11045 5347 11046 5341 11046 5348 11046 5349 11047 5343 11047 5338 11047 5349 11048 5348 11048 5343 11048 5349 11049 5338 11049 5345 11049 5336 11050 5318 11050 5308 11050 5327 11051 5336 11051 5308 11051 5348 11052 5324 11052 5325 11052 5349 11053 5324 11053 5348 11053 5349 11054 5323 11054 5324 11054 5347 11055 5325 11055 5321 11055 5347 11056 5348 11056 5325 11056 5346 11057 5321 11057 5320 11057 5346 11058 5347 11058 5321 11058 5344 11059 5346 11059 5320 11059 5322 11060 5344 11060 5320 11060 5345 11061 5344 11061 5322 11061 5345 11062 5322 11062 5323 11062 5349 11063 5345 11063 5323 11063 5350 11064 5351 11064 5352 11064 5353 11065 5352 11065 5351 11065 5354 11066 5352 11066 5355 11066 5356 11067 5355 11067 5352 11067 5350 11068 5352 11068 5354 11068 5356 11069 5352 11069 5353 11069 5350 11070 5357 11070 5351 11070 5358 11071 5351 11071 5357 11071 5358 11072 5353 11072 5351 11072 5359 11073 5360 11073 5357 11073 5361 11074 5357 11074 5360 11074 5362 11075 5359 11075 5357 11075 5350 11076 5362 11076 5357 11076 5361 11077 5358 11077 5357 11077 5363 11078 5364 11078 5360 11078 5365 11079 5360 11079 5364 11079 5359 11080 5363 11080 5360 11080 5365 11081 5361 11081 5360 11081 5363 11082 5355 11082 5364 11082 5366 11083 5364 11083 5355 11083 5366 11084 5365 11084 5364 11084 5367 11085 5354 11085 5355 11085 5363 11086 5367 11086 5355 11086 5356 11087 5366 11087 5355 11087 5368 11088 5354 11088 5367 11088 5369 11089 5350 11089 5354 11089 5368 11090 5369 11090 5354 11090 5370 11091 5367 11091 5363 11091 5370 11092 5368 11092 5367 11092 5371 11093 5363 11093 5359 11093 5371 11094 5370 11094 5363 11094 5372 11095 5359 11095 5362 11095 5371 11096 5359 11096 5372 11096 5373 11097 5362 11097 5350 11097 5373 11098 5372 11098 5362 11098 5369 11099 5373 11099 5350 11099 5374 11100 5353 11100 5358 11100 5375 11101 5353 11101 5374 11101 5375 11102 5356 11102 5353 11102 5376 11103 5358 11103 5361 11103 5376 11104 5374 11104 5358 11104 5377 11105 5361 11105 5365 11105 5377 11106 5376 11106 5361 11106 5378 11107 5377 11107 5365 11107 5366 11108 5378 11108 5365 11108 5379 11109 5374 11109 5376 11109 5380 11110 5374 11110 5379 11110 5375 11111 5374 11111 5380 11111 5381 11112 5376 11112 5377 11112 5381 11113 5379 11113 5376 11113 5382 11114 5377 11114 5378 11114 5382 11115 5381 11115 5377 11115 5383 11116 5382 11116 5378 11116 5384 11117 5383 11117 5378 11117 5384 11118 5378 11118 5366 11118 5385 11119 5379 11119 5381 11119 5386 11120 5380 11120 5379 11120 5386 11121 5379 11121 5385 11121 5387 11122 5381 11122 5382 11122 5388 11123 5385 11123 5381 11123 5387 11124 5388 11124 5381 11124 5387 11125 5382 11125 5383 11125 5389 11126 5383 11126 5390 11126 5384 11127 5390 11127 5383 11127 5389 11128 5387 11128 5383 11128 5386 11129 5390 11129 5380 11129 5375 11130 5380 11130 5390 11130 5391 11131 5389 11131 5390 11131 5386 11132 5391 11132 5390 11132 5375 11133 5390 11133 5384 11133 5392 11134 5385 11134 5388 11134 5393 11135 5386 11135 5385 11135 5393 11136 5385 11136 5392 11136 5394 11137 5388 11137 5387 11137 5392 11138 5388 11138 5394 11138 5395 11139 5387 11139 5389 11139 5394 11140 5387 11140 5395 11140 5396 11141 5389 11141 5391 11141 5395 11142 5389 11142 5396 11142 5397 11143 5391 11143 5386 11143 5397 11144 5396 11144 5391 11144 5397 11145 5386 11145 5393 11145 5384 11146 5366 11146 5356 11146 5375 11147 5384 11147 5356 11147 5396 11148 5372 11148 5373 11148 5397 11149 5372 11149 5396 11149 5397 11150 5371 11150 5372 11150 5395 11151 5373 11151 5369 11151 5395 11152 5396 11152 5373 11152 5394 11153 5369 11153 5368 11153 5394 11154 5395 11154 5369 11154 5392 11155 5394 11155 5368 11155 5370 11156 5392 11156 5368 11156 5393 11157 5392 11157 5370 11157 5393 11158 5370 11158 5371 11158 5397 11159 5393 11159 5371 11159 5398 11160 5399 11160 5400 11160 5401 11161 5400 11161 5399 11161 5402 11162 5398 11162 5400 11162 5403 11163 5400 11163 5404 11163 5405 11164 5404 11164 5400 11164 5403 11165 5406 11165 5400 11165 5402 11166 5400 11166 5406 11166 5401 11167 5405 11167 5400 11167 5398 11168 5407 11168 5399 11168 5408 11169 5399 11169 5407 11169 5408 11170 5401 11170 5399 11170 5409 11171 5407 11171 5398 11171 5409 11172 5408 11172 5407 11172 5410 11173 5411 11173 5398 11173 5412 11174 5398 11174 5411 11174 5402 11175 5410 11175 5398 11175 5412 11176 5409 11176 5398 11176 5404 11177 5413 11177 5411 11177 5414 11178 5411 11178 5413 11178 5415 11179 5404 11179 5411 11179 5416 11180 5415 11180 5411 11180 5410 11181 5416 11181 5411 11181 5412 11182 5411 11182 5414 11182 5404 11183 5417 11183 5413 11183 5418 11184 5413 11184 5417 11184 5418 11185 5414 11185 5413 11185 5419 11186 5417 11186 5404 11186 5419 11187 5418 11187 5417 11187 5415 11188 5403 11188 5404 11188 5405 11189 5419 11189 5404 11189 5420 11190 5406 11190 5403 11190 5421 11191 5402 11191 5406 11191 5420 11192 5421 11192 5406 11192 5422 11193 5403 11193 5415 11193 5420 11194 5403 11194 5422 11194 5423 11195 5415 11195 5416 11195 5422 11196 5415 11196 5423 11196 5424 11197 5416 11197 5410 11197 5423 11198 5416 11198 5424 11198 5425 11199 5410 11199 5402 11199 5424 11200 5410 11200 5425 11200 5425 11201 5402 11201 5421 11201 5426 11202 5414 11202 5418 11202 5427 11203 5414 11203 5426 11203 5427 11204 5412 11204 5414 11204 5428 11205 5418 11205 5419 11205 5428 11206 5426 11206 5418 11206 5429 11207 5419 11207 5405 11207 5429 11208 5428 11208 5419 11208 5430 11209 5405 11209 5401 11209 5430 11210 5429 11210 5405 11210 5431 11211 5430 11211 5401 11211 5408 11212 5431 11212 5401 11212 5432 11213 5426 11213 5428 11213 5433 11214 5426 11214 5432 11214 5427 11215 5426 11215 5433 11215 5432 11216 5428 11216 5429 11216 5434 11217 5429 11217 5430 11217 5434 11218 5432 11218 5429 11218 5434 11219 5430 11219 5431 11219 5435 11220 5434 11220 5431 11220 5436 11221 5435 11221 5431 11221 5436 11222 5431 11222 5408 11222 5437 11223 5432 11223 5434 11223 5437 11224 5438 11224 5432 11224 5433 11225 5432 11225 5438 11225 5439 11226 5434 11226 5435 11226 5439 11227 5437 11227 5434 11227 5439 11228 5435 11228 5440 11228 5433 11229 5440 11229 5435 11229 5441 11230 5433 11230 5435 11230 5441 11231 5435 11231 5436 11231 5433 11232 5438 11232 5440 11232 5442 11233 5440 11233 5438 11233 5443 11234 5439 11234 5440 11234 5442 11235 5443 11235 5440 11235 5444 11236 5438 11236 5437 11236 5444 11237 5442 11237 5438 11237 5445 11238 5437 11238 5439 11238 5444 11239 5437 11239 5445 11239 5443 11240 5445 11240 5439 11240 5427 11241 5433 11241 5441 11241 5442 11242 5445 11242 5443 11242 5444 11243 5445 11243 5442 11243 5436 11244 5408 11244 5409 11244 5441 11245 5409 11245 5412 11245 5441 11246 5436 11246 5409 11246 5427 11247 5441 11247 5412 11247 5424 11248 5425 11248 5421 11248 5420 11249 5424 11249 5421 11249 5420 11250 5423 11250 5424 11250 5420 11251 5422 11251 5423 11251 5446 11252 5447 11252 5448 11252 5449 11253 5448 11253 5447 11253 5450 11254 5446 11254 5448 11254 5451 11255 5448 11255 5452 11255 5453 11256 5452 11256 5448 11256 5451 11257 5454 11257 5448 11257 5450 11258 5448 11258 5454 11258 5449 11259 5453 11259 5448 11259 5446 11260 5455 11260 5447 11260 5456 11261 5447 11261 5455 11261 5456 11262 5449 11262 5447 11262 5457 11263 5455 11263 5446 11263 5457 11264 5456 11264 5455 11264 5458 11265 5459 11265 5446 11265 5460 11266 5446 11266 5459 11266 5450 11267 5458 11267 5446 11267 5460 11268 5457 11268 5446 11268 5452 11269 5461 11269 5459 11269 5462 11270 5459 11270 5461 11270 5463 11271 5452 11271 5459 11271 5464 11272 5463 11272 5459 11272 5458 11273 5464 11273 5459 11273 5460 11274 5459 11274 5462 11274 5452 11275 5465 11275 5461 11275 5466 11276 5461 11276 5465 11276 5466 11277 5462 11277 5461 11277 5467 11278 5465 11278 5452 11278 5467 11279 5466 11279 5465 11279 5463 11280 5451 11280 5452 11280 5453 11281 5467 11281 5452 11281 5468 11282 5454 11282 5451 11282 5469 11283 5450 11283 5454 11283 5468 11284 5469 11284 5454 11284 5470 11285 5451 11285 5463 11285 5468 11286 5451 11286 5470 11286 5471 11287 5463 11287 5464 11287 5470 11288 5463 11288 5471 11288 5472 11289 5464 11289 5458 11289 5471 11290 5464 11290 5472 11290 5473 11291 5458 11291 5450 11291 5472 11292 5458 11292 5473 11292 5473 11293 5450 11293 5469 11293 5474 11294 5462 11294 5466 11294 5475 11295 5462 11295 5474 11295 5475 11296 5460 11296 5462 11296 5476 11297 5466 11297 5467 11297 5476 11298 5474 11298 5466 11298 5477 11299 5467 11299 5453 11299 5477 11300 5476 11300 5467 11300 5478 11301 5453 11301 5449 11301 5478 11302 5477 11302 5453 11302 5479 11303 5478 11303 5449 11303 5456 11304 5479 11304 5449 11304 5480 11305 5474 11305 5476 11305 5481 11306 5474 11306 5480 11306 5475 11307 5474 11307 5481 11307 5480 11308 5476 11308 5477 11308 5482 11309 5477 11309 5478 11309 5482 11310 5480 11310 5477 11310 5482 11311 5478 11311 5479 11311 5483 11312 5482 11312 5479 11312 5484 11313 5483 11313 5479 11313 5484 11314 5479 11314 5456 11314 5485 11315 5480 11315 5482 11315 5485 11316 5486 11316 5480 11316 5481 11317 5480 11317 5486 11317 5487 11318 5482 11318 5483 11318 5487 11319 5485 11319 5482 11319 5487 11320 5483 11320 5488 11320 5481 11321 5488 11321 5483 11321 5489 11322 5481 11322 5483 11322 5489 11323 5483 11323 5484 11323 5481 11324 5486 11324 5488 11324 5490 11325 5488 11325 5486 11325 5491 11326 5487 11326 5488 11326 5490 11327 5491 11327 5488 11327 5492 11328 5486 11328 5485 11328 5492 11329 5490 11329 5486 11329 5493 11330 5485 11330 5487 11330 5492 11331 5485 11331 5493 11331 5491 11332 5493 11332 5487 11332 5475 11333 5481 11333 5489 11333 5490 11334 5493 11334 5491 11334 5492 11335 5493 11335 5490 11335 5484 11336 5456 11336 5457 11336 5489 11337 5457 11337 5460 11337 5489 11338 5484 11338 5457 11338 5475 11339 5489 11339 5460 11339 5472 11340 5473 11340 5469 11340 5468 11341 5472 11341 5469 11341 5468 11342 5471 11342 5472 11342 5468 11343 5470 11343 5471 11343 5494 11344 5495 11344 5496 11344 5497 11345 5496 11345 5495 11345 5498 11346 5494 11346 5496 11346 5499 11347 5496 11347 5500 11347 5501 11348 5500 11348 5496 11348 5499 11349 5502 11349 5496 11349 5498 11350 5496 11350 5502 11350 5497 11351 5501 11351 5496 11351 5494 11352 5503 11352 5495 11352 5504 11353 5495 11353 5503 11353 5504 11354 5497 11354 5495 11354 5505 11355 5503 11355 5494 11355 5505 11356 5504 11356 5503 11356 5506 11357 5507 11357 5494 11357 5508 11358 5494 11358 5507 11358 5498 11359 5506 11359 5494 11359 5508 11360 5505 11360 5494 11360 5500 11361 5509 11361 5507 11361 5510 11362 5507 11362 5509 11362 5511 11363 5500 11363 5507 11363 5512 11364 5511 11364 5507 11364 5506 11365 5512 11365 5507 11365 5508 11366 5507 11366 5510 11366 5500 11367 5513 11367 5509 11367 5514 11368 5509 11368 5513 11368 5514 11369 5510 11369 5509 11369 5515 11370 5513 11370 5500 11370 5515 11371 5514 11371 5513 11371 5511 11372 5499 11372 5500 11372 5501 11373 5515 11373 5500 11373 5516 11374 5502 11374 5499 11374 5517 11375 5498 11375 5502 11375 5516 11376 5517 11376 5502 11376 5518 11377 5499 11377 5511 11377 5516 11378 5499 11378 5518 11378 5519 11379 5511 11379 5512 11379 5518 11380 5511 11380 5519 11380 5520 11381 5512 11381 5506 11381 5519 11382 5512 11382 5520 11382 5521 11383 5506 11383 5498 11383 5520 11384 5506 11384 5521 11384 5521 11385 5498 11385 5517 11385 5522 11386 5510 11386 5514 11386 5523 11387 5510 11387 5522 11387 5523 11388 5508 11388 5510 11388 5524 11389 5514 11389 5515 11389 5524 11390 5522 11390 5514 11390 5525 11391 5515 11391 5501 11391 5525 11392 5524 11392 5515 11392 5526 11393 5501 11393 5497 11393 5526 11394 5525 11394 5501 11394 5527 11395 5526 11395 5497 11395 5504 11396 5527 11396 5497 11396 5528 11397 5522 11397 5524 11397 5529 11398 5522 11398 5528 11398 5523 11399 5522 11399 5529 11399 5528 11400 5524 11400 5525 11400 5530 11401 5525 11401 5526 11401 5530 11402 5528 11402 5525 11402 5530 11403 5526 11403 5527 11403 5531 11404 5530 11404 5527 11404 5532 11405 5531 11405 5527 11405 5532 11406 5527 11406 5504 11406 5533 11407 5528 11407 5530 11407 5533 11408 5534 11408 5528 11408 5529 11409 5528 11409 5534 11409 5535 11410 5530 11410 5531 11410 5535 11411 5533 11411 5530 11411 5535 11412 5531 11412 5536 11412 5529 11413 5536 11413 5531 11413 5537 11414 5529 11414 5531 11414 5537 11415 5531 11415 5532 11415 5529 11416 5534 11416 5536 11416 5538 11417 5536 11417 5534 11417 5539 11418 5535 11418 5536 11418 5538 11419 5539 11419 5536 11419 5540 11420 5534 11420 5533 11420 5540 11421 5538 11421 5534 11421 5541 11422 5533 11422 5535 11422 5540 11423 5533 11423 5541 11423 5539 11424 5541 11424 5535 11424 5523 11425 5529 11425 5537 11425 5538 11426 5541 11426 5539 11426 5540 11427 5541 11427 5538 11427 5532 11428 5504 11428 5505 11428 5537 11429 5505 11429 5508 11429 5537 11430 5532 11430 5505 11430 5523 11431 5537 11431 5508 11431 5520 11432 5521 11432 5517 11432 5516 11433 5520 11433 5517 11433 5516 11434 5519 11434 5520 11434 5516 11435 5518 11435 5519 11435 5542 11436 5543 11436 5544 11436 5545 11437 5544 11437 5543 11437 5546 11438 5542 11438 5544 11438 5547 11439 5544 11439 5548 11439 5549 11440 5548 11440 5544 11440 5547 11441 5550 11441 5544 11441 5546 11442 5544 11442 5550 11442 5545 11443 5549 11443 5544 11443 5542 11444 5551 11444 5543 11444 5552 11445 5543 11445 5551 11445 5552 11446 5545 11446 5543 11446 5553 11447 5551 11447 5542 11447 5553 11448 5552 11448 5551 11448 5554 11449 5555 11449 5542 11449 5556 11450 5542 11450 5555 11450 5546 11451 5554 11451 5542 11451 5556 11452 5553 11452 5542 11452 5548 11453 5557 11453 5555 11453 5558 11454 5555 11454 5557 11454 5559 11455 5548 11455 5555 11455 5560 11456 5559 11456 5555 11456 5554 11457 5560 11457 5555 11457 5556 11458 5555 11458 5558 11458 5548 11459 5561 11459 5557 11459 5562 11460 5557 11460 5561 11460 5562 11461 5558 11461 5557 11461 5563 11462 5561 11462 5548 11462 5563 11463 5562 11463 5561 11463 5559 11464 5547 11464 5548 11464 5549 11465 5563 11465 5548 11465 5564 11466 5550 11466 5547 11466 5565 11467 5546 11467 5550 11467 5564 11468 5565 11468 5550 11468 5566 11469 5547 11469 5559 11469 5564 11470 5547 11470 5566 11470 5567 11471 5559 11471 5560 11471 5566 11472 5559 11472 5567 11472 5568 11473 5560 11473 5554 11473 5567 11474 5560 11474 5568 11474 5569 11475 5554 11475 5546 11475 5568 11476 5554 11476 5569 11476 5569 11477 5546 11477 5565 11477 5570 11478 5558 11478 5562 11478 5571 11479 5558 11479 5570 11479 5571 11480 5556 11480 5558 11480 5572 11481 5562 11481 5563 11481 5572 11482 5570 11482 5562 11482 5573 11483 5563 11483 5549 11483 5573 11484 5572 11484 5563 11484 5574 11485 5549 11485 5545 11485 5574 11486 5573 11486 5549 11486 5575 11487 5574 11487 5545 11487 5552 11488 5575 11488 5545 11488 5576 11489 5570 11489 5572 11489 5577 11490 5570 11490 5576 11490 5571 11491 5570 11491 5577 11491 5576 11492 5572 11492 5573 11492 5578 11493 5573 11493 5574 11493 5578 11494 5576 11494 5573 11494 5578 11495 5574 11495 5575 11495 5579 11496 5578 11496 5575 11496 5580 11497 5579 11497 5575 11497 5580 11498 5575 11498 5552 11498 5581 11499 5576 11499 5578 11499 5581 11500 5582 11500 5576 11500 5577 11501 5576 11501 5582 11501 5583 11502 5578 11502 5579 11502 5583 11503 5581 11503 5578 11503 5583 11504 5579 11504 5584 11504 5577 11505 5584 11505 5579 11505 5585 11506 5577 11506 5579 11506 5585 11507 5579 11507 5580 11507 5577 11508 5582 11508 5584 11508 5586 11509 5584 11509 5582 11509 5587 11510 5583 11510 5584 11510 5586 11511 5587 11511 5584 11511 5588 11512 5582 11512 5581 11512 5588 11513 5586 11513 5582 11513 5589 11514 5581 11514 5583 11514 5588 11515 5581 11515 5589 11515 5587 11516 5589 11516 5583 11516 5571 11517 5577 11517 5585 11517 5586 11518 5589 11518 5587 11518 5588 11519 5589 11519 5586 11519 5580 11520 5552 11520 5553 11520 5585 11521 5553 11521 5556 11521 5585 11522 5580 11522 5553 11522 5571 11523 5585 11523 5556 11523 5568 11524 5569 11524 5565 11524 5564 11525 5568 11525 5565 11525 5564 11526 5567 11526 5568 11526 5564 11527 5566 11527 5567 11527 5590 11528 5591 11528 5592 11528 5593 11529 5592 11529 5591 11529 5594 11530 5590 11530 5592 11530 5595 11531 5592 11531 5596 11531 5597 11532 5596 11532 5592 11532 5595 11533 5598 11533 5592 11533 5594 11534 5592 11534 5598 11534 5593 11535 5597 11535 5592 11535 5590 11536 5599 11536 5591 11536 5600 11537 5591 11537 5599 11537 5600 11538 5593 11538 5591 11538 5601 11539 5599 11539 5590 11539 5601 11540 5600 11540 5599 11540 5602 11541 5603 11541 5590 11541 5604 11542 5590 11542 5603 11542 5594 11543 5602 11543 5590 11543 5604 11544 5601 11544 5590 11544 5596 11545 5605 11545 5603 11545 5606 11546 5603 11546 5605 11546 5607 11547 5596 11547 5603 11547 5608 11548 5607 11548 5603 11548 5602 11549 5608 11549 5603 11549 5604 11550 5603 11550 5606 11550 5596 11551 5609 11551 5605 11551 5610 11552 5605 11552 5609 11552 5610 11553 5606 11553 5605 11553 5611 11554 5609 11554 5596 11554 5611 11555 5610 11555 5609 11555 5607 11556 5595 11556 5596 11556 5597 11557 5611 11557 5596 11557 5612 11558 5598 11558 5595 11558 5613 11559 5594 11559 5598 11559 5612 11560 5613 11560 5598 11560 5614 11561 5595 11561 5607 11561 5612 11562 5595 11562 5614 11562 5615 11563 5607 11563 5608 11563 5614 11564 5607 11564 5615 11564 5616 11565 5608 11565 5602 11565 5615 11566 5608 11566 5616 11566 5617 11567 5602 11567 5594 11567 5616 11568 5602 11568 5617 11568 5617 11569 5594 11569 5613 11569 5618 11570 5606 11570 5610 11570 5619 11571 5606 11571 5618 11571 5619 11572 5604 11572 5606 11572 5620 11573 5610 11573 5611 11573 5620 11574 5618 11574 5610 11574 5621 11575 5611 11575 5597 11575 5621 11576 5620 11576 5611 11576 5622 11577 5597 11577 5593 11577 5622 11578 5621 11578 5597 11578 5623 11579 5622 11579 5593 11579 5600 11580 5623 11580 5593 11580 5624 11581 5618 11581 5620 11581 5625 11582 5618 11582 5624 11582 5619 11583 5618 11583 5625 11583 5624 11584 5620 11584 5621 11584 5626 11585 5621 11585 5622 11585 5626 11586 5624 11586 5621 11586 5626 11587 5622 11587 5623 11587 5627 11588 5626 11588 5623 11588 5628 11589 5627 11589 5623 11589 5628 11590 5623 11590 5600 11590 5629 11591 5624 11591 5626 11591 5629 11592 5630 11592 5624 11592 5625 11593 5624 11593 5630 11593 5631 11594 5626 11594 5627 11594 5631 11595 5629 11595 5626 11595 5631 11596 5627 11596 5632 11596 5625 11597 5632 11597 5627 11597 5633 11598 5625 11598 5627 11598 5633 11599 5627 11599 5628 11599 5625 11600 5630 11600 5632 11600 5634 11601 5632 11601 5630 11601 5635 11602 5631 11602 5632 11602 5634 11603 5635 11603 5632 11603 5636 11604 5630 11604 5629 11604 5636 11605 5634 11605 5630 11605 5637 11606 5629 11606 5631 11606 5636 11607 5629 11607 5637 11607 5635 11608 5637 11608 5631 11608 5619 11609 5625 11609 5633 11609 5634 11610 5637 11610 5635 11610 5636 11611 5637 11611 5634 11611 5628 11612 5600 11612 5601 11612 5633 11613 5601 11613 5604 11613 5633 11614 5628 11614 5601 11614 5619 11615 5633 11615 5604 11615 5616 11616 5617 11616 5613 11616 5612 11617 5616 11617 5613 11617 5612 11618 5615 11618 5616 11618 5612 11619 5614 11619 5615 11619 5411 11620 5407 11620 5399 11620 5638 11621 5411 11621 5399 11621 5639 11622 5399 11622 5400 11622 5639 11623 5640 11623 5399 11623 5638 11624 5399 11624 5640 11624 5411 11625 5398 11625 5407 11625 5641 11626 5413 11626 5411 11626 5638 11627 5641 11627 5411 11627 5400 11628 5417 11628 5413 11628 5642 11629 5400 11629 5413 11629 5643 11630 5642 11630 5413 11630 5641 11631 5643 11631 5413 11631 5400 11632 5404 11632 5417 11632 5642 11633 5639 11633 5400 11633 5644 11634 5640 11634 5639 11634 5645 11635 5638 11635 5640 11635 5644 11636 5645 11636 5640 11636 5646 11637 5639 11637 5642 11637 5644 11638 5639 11638 5646 11638 5647 11639 5642 11639 5643 11639 5646 11640 5642 11640 5647 11640 5648 11641 5643 11641 5641 11641 5647 11642 5643 11642 5648 11642 5649 11643 5641 11643 5638 11643 5648 11644 5641 11644 5649 11644 5649 11645 5638 11645 5645 11645 5650 11646 5428 11646 5429 11646 5651 11647 5428 11647 5650 11647 5426 11648 5428 11648 5651 11648 5650 11649 5429 11649 5430 11649 5652 11650 5430 11650 5431 11650 5652 11651 5650 11651 5430 11651 5652 11652 5431 11652 5436 11652 5653 11653 5652 11653 5436 11653 5441 11654 5653 11654 5436 11654 5654 11655 5650 11655 5652 11655 5654 11656 5655 11656 5650 11656 5651 11657 5650 11657 5655 11657 5656 11658 5652 11658 5653 11658 5656 11659 5654 11659 5652 11659 5656 11660 5653 11660 5657 11660 5651 11661 5657 11661 5653 11661 5427 11662 5651 11662 5653 11662 5427 11663 5653 11663 5441 11663 5651 11664 5655 11664 5657 11664 5658 11665 5657 11665 5655 11665 5659 11666 5656 11666 5657 11666 5658 11667 5659 11667 5657 11667 5660 11668 5655 11668 5654 11668 5660 11669 5658 11669 5655 11669 5661 11670 5654 11670 5656 11670 5660 11671 5654 11671 5661 11671 5659 11672 5661 11672 5656 11672 5426 11673 5651 11673 5427 11673 5658 11674 5661 11674 5659 11674 5660 11675 5661 11675 5658 11675 5648 11676 5649 11676 5645 11676 5644 11677 5648 11677 5645 11677 5644 11678 5647 11678 5648 11678 5644 11679 5646 11679 5647 11679 5496 11680 5513 11680 5509 11680 5662 11681 5496 11681 5509 11681 5663 11682 5509 11682 5507 11682 5663 11683 5664 11683 5509 11683 5662 11684 5509 11684 5664 11684 5496 11685 5500 11685 5513 11685 5665 11686 5495 11686 5496 11686 5662 11687 5665 11687 5496 11687 5507 11688 5503 11688 5495 11688 5666 11689 5507 11689 5495 11689 5667 11690 5666 11690 5495 11690 5665 11691 5667 11691 5495 11691 5507 11692 5494 11692 5503 11692 5666 11693 5663 11693 5507 11693 5668 11694 5664 11694 5663 11694 5669 11695 5662 11695 5664 11695 5668 11696 5669 11696 5664 11696 5670 11697 5663 11697 5666 11697 5668 11698 5663 11698 5670 11698 5671 11699 5666 11699 5667 11699 5670 11700 5666 11700 5671 11700 5672 11701 5667 11701 5665 11701 5671 11702 5667 11702 5672 11702 5673 11703 5665 11703 5662 11703 5672 11704 5665 11704 5673 11704 5673 11705 5662 11705 5669 11705 5674 11706 5532 11706 5537 11706 5675 11707 5532 11707 5674 11707 5527 11708 5532 11708 5675 11708 5674 11709 5537 11709 5523 11709 5676 11710 5523 11710 5522 11710 5676 11711 5674 11711 5523 11711 5676 11712 5522 11712 5524 11712 5677 11713 5676 11713 5524 11713 5525 11714 5677 11714 5524 11714 5678 11715 5674 11715 5676 11715 5678 11716 5679 11716 5674 11716 5675 11717 5674 11717 5679 11717 5680 11718 5676 11718 5677 11718 5680 11719 5678 11719 5676 11719 5680 11720 5677 11720 5681 11720 5675 11721 5681 11721 5677 11721 5526 11722 5675 11722 5677 11722 5526 11723 5677 11723 5525 11723 5675 11724 5679 11724 5681 11724 5682 11725 5681 11725 5679 11725 5683 11726 5680 11726 5681 11726 5682 11727 5683 11727 5681 11727 5684 11728 5679 11728 5678 11728 5684 11729 5682 11729 5679 11729 5685 11730 5678 11730 5680 11730 5684 11731 5678 11731 5685 11731 5683 11732 5685 11732 5680 11732 5527 11733 5675 11733 5526 11733 5682 11734 5685 11734 5683 11734 5684 11735 5685 11735 5682 11735 5672 11736 5673 11736 5669 11736 5668 11737 5672 11737 5669 11737 5668 11738 5671 11738 5672 11738 5668 11739 5670 11739 5671 11739 5686 11740 5687 11740 5688 11740 5689 11741 5688 11741 5687 11741 5690 11742 5686 11742 5688 11742 5691 11743 5688 11743 5692 11743 5693 11744 5692 11744 5688 11744 5691 11745 5694 11745 5688 11745 5690 11746 5688 11746 5694 11746 5689 11747 5693 11747 5688 11747 5686 11748 5695 11748 5687 11748 5696 11749 5687 11749 5695 11749 5696 11750 5689 11750 5687 11750 5697 11751 5695 11751 5686 11751 5697 11752 5696 11752 5695 11752 5698 11753 5699 11753 5686 11753 5700 11754 5686 11754 5699 11754 5690 11755 5698 11755 5686 11755 5700 11756 5697 11756 5686 11756 5692 11757 5701 11757 5699 11757 5702 11758 5699 11758 5701 11758 5703 11759 5692 11759 5699 11759 5704 11760 5703 11760 5699 11760 5698 11761 5704 11761 5699 11761 5700 11762 5699 11762 5702 11762 5692 11763 5705 11763 5701 11763 5706 11764 5701 11764 5705 11764 5706 11765 5702 11765 5701 11765 5707 11766 5705 11766 5692 11766 5707 11767 5706 11767 5705 11767 5703 11768 5691 11768 5692 11768 5693 11769 5707 11769 5692 11769 5708 11770 5694 11770 5691 11770 5709 11771 5690 11771 5694 11771 5708 11772 5709 11772 5694 11772 5710 11773 5691 11773 5703 11773 5708 11774 5691 11774 5710 11774 5711 11775 5703 11775 5704 11775 5710 11776 5703 11776 5711 11776 5712 11777 5704 11777 5698 11777 5711 11778 5704 11778 5712 11778 5713 11779 5698 11779 5690 11779 5712 11780 5698 11780 5713 11780 5713 11781 5690 11781 5709 11781 5714 11782 5702 11782 5706 11782 5715 11783 5702 11783 5714 11783 5715 11784 5700 11784 5702 11784 5716 11785 5706 11785 5707 11785 5716 11786 5714 11786 5706 11786 5717 11787 5707 11787 5693 11787 5717 11788 5716 11788 5707 11788 5718 11789 5693 11789 5689 11789 5718 11790 5717 11790 5693 11790 5719 11791 5718 11791 5689 11791 5696 11792 5719 11792 5689 11792 5720 11793 5714 11793 5716 11793 5721 11794 5714 11794 5720 11794 5715 11795 5714 11795 5721 11795 5720 11796 5716 11796 5717 11796 5722 11797 5717 11797 5718 11797 5722 11798 5720 11798 5717 11798 5722 11799 5718 11799 5719 11799 5723 11800 5722 11800 5719 11800 5724 11801 5723 11801 5719 11801 5724 11802 5719 11802 5696 11802 5725 11803 5720 11803 5722 11803 5725 11804 5726 11804 5720 11804 5721 11805 5720 11805 5726 11805 5727 11806 5722 11806 5723 11806 5727 11807 5725 11807 5722 11807 5727 11808 5723 11808 5728 11808 5721 11809 5728 11809 5723 11809 5729 11810 5721 11810 5723 11810 5729 11811 5723 11811 5724 11811 5721 11812 5726 11812 5728 11812 5730 11813 5728 11813 5726 11813 5731 11814 5727 11814 5728 11814 5730 11815 5731 11815 5728 11815 5732 11816 5726 11816 5725 11816 5732 11817 5730 11817 5726 11817 5733 11818 5725 11818 5727 11818 5732 11819 5725 11819 5733 11819 5731 11820 5733 11820 5727 11820 5715 11821 5721 11821 5729 11821 5730 11822 5733 11822 5731 11822 5732 11823 5733 11823 5730 11823 5724 11824 5696 11824 5697 11824 5729 11825 5697 11825 5700 11825 5729 11826 5724 11826 5697 11826 5715 11827 5729 11827 5700 11827 5712 11828 5713 11828 5709 11828 5708 11829 5712 11829 5709 11829 5708 11830 5711 11830 5712 11830 5708 11831 5710 11831 5711 11831 5561 11832 5555 11832 5542 11832 5734 11833 5561 11833 5542 11833 5735 11834 5542 11834 5551 11834 5735 11835 5736 11835 5542 11835 5734 11836 5542 11836 5736 11836 5561 11837 5557 11837 5555 11837 5737 11838 5548 11838 5561 11838 5734 11839 5737 11839 5561 11839 5551 11840 5544 11840 5548 11840 5738 11841 5551 11841 5548 11841 5739 11842 5738 11842 5548 11842 5737 11843 5739 11843 5548 11843 5551 11844 5543 11844 5544 11844 5738 11845 5735 11845 5551 11845 5740 11846 5736 11846 5735 11846 5741 11847 5734 11847 5736 11847 5740 11848 5741 11848 5736 11848 5742 11849 5735 11849 5738 11849 5740 11850 5735 11850 5742 11850 5743 11851 5738 11851 5739 11851 5742 11852 5738 11852 5743 11852 5744 11853 5739 11853 5737 11853 5743 11854 5739 11854 5744 11854 5745 11855 5737 11855 5734 11855 5744 11856 5737 11856 5745 11856 5745 11857 5734 11857 5741 11857 5746 11858 5574 11858 5575 11858 5747 11859 5574 11859 5746 11859 5573 11860 5574 11860 5747 11860 5746 11861 5575 11861 5580 11861 5748 11862 5580 11862 5585 11862 5748 11863 5746 11863 5580 11863 5748 11864 5585 11864 5571 11864 5749 11865 5748 11865 5571 11865 5570 11866 5749 11866 5571 11866 5750 11867 5746 11867 5748 11867 5750 11868 5751 11868 5746 11868 5747 11869 5746 11869 5751 11869 5752 11870 5748 11870 5749 11870 5752 11871 5750 11871 5748 11871 5752 11872 5749 11872 5753 11872 5747 11873 5753 11873 5749 11873 5572 11874 5747 11874 5749 11874 5572 11875 5749 11875 5570 11875 5747 11876 5751 11876 5753 11876 5754 11877 5753 11877 5751 11877 5755 11878 5752 11878 5753 11878 5754 11879 5755 11879 5753 11879 5756 11880 5751 11880 5750 11880 5756 11881 5754 11881 5751 11881 5757 11882 5750 11882 5752 11882 5756 11883 5750 11883 5757 11883 5755 11884 5757 11884 5752 11884 5573 11885 5747 11885 5572 11885 5754 11886 5757 11886 5755 11886 5756 11887 5757 11887 5754 11887 5744 11888 5745 11888 5741 11888 5740 11889 5744 11889 5741 11889 5740 11890 5743 11890 5744 11890 5740 11891 5742 11891 5743 11891 5758 11892 5759 11892 5760 11892 5761 11893 5760 11893 5759 11893 5762 11894 5758 11894 5760 11894 5763 11895 5760 11895 5764 11895 5765 11896 5764 11896 5760 11896 5763 11897 5766 11897 5760 11897 5762 11898 5760 11898 5766 11898 5761 11899 5765 11899 5760 11899 5758 11900 5767 11900 5759 11900 5768 11901 5759 11901 5767 11901 5768 11902 5761 11902 5759 11902 5769 11903 5767 11903 5758 11903 5769 11904 5768 11904 5767 11904 5770 11905 5771 11905 5758 11905 5772 11906 5758 11906 5771 11906 5762 11907 5770 11907 5758 11907 5772 11908 5769 11908 5758 11908 5764 11909 5773 11909 5771 11909 5774 11910 5771 11910 5773 11910 5775 11911 5764 11911 5771 11911 5776 11912 5775 11912 5771 11912 5770 11913 5776 11913 5771 11913 5772 11914 5771 11914 5774 11914 5764 11915 5777 11915 5773 11915 5778 11916 5773 11916 5777 11916 5778 11917 5774 11917 5773 11917 5779 11918 5777 11918 5764 11918 5779 11919 5778 11919 5777 11919 5775 11920 5763 11920 5764 11920 5765 11921 5779 11921 5764 11921 5780 11922 5766 11922 5763 11922 5781 11923 5762 11923 5766 11923 5780 11924 5781 11924 5766 11924 5782 11925 5763 11925 5775 11925 5780 11926 5763 11926 5782 11926 5783 11927 5775 11927 5776 11927 5782 11928 5775 11928 5783 11928 5784 11929 5776 11929 5770 11929 5783 11930 5776 11930 5784 11930 5785 11931 5770 11931 5762 11931 5784 11932 5770 11932 5785 11932 5785 11933 5762 11933 5781 11933 5786 11934 5774 11934 5778 11934 5787 11935 5774 11935 5786 11935 5787 11936 5772 11936 5774 11936 5788 11937 5778 11937 5779 11937 5788 11938 5786 11938 5778 11938 5789 11939 5779 11939 5765 11939 5789 11940 5788 11940 5779 11940 5790 11941 5765 11941 5761 11941 5790 11942 5789 11942 5765 11942 5791 11943 5790 11943 5761 11943 5768 11944 5791 11944 5761 11944 5792 11945 5786 11945 5788 11945 5793 11946 5786 11946 5792 11946 5787 11947 5786 11947 5793 11947 5792 11948 5788 11948 5789 11948 5794 11949 5789 11949 5790 11949 5794 11950 5792 11950 5789 11950 5794 11951 5790 11951 5791 11951 5795 11952 5794 11952 5791 11952 5796 11953 5795 11953 5791 11953 5796 11954 5791 11954 5768 11954 5797 11955 5792 11955 5794 11955 5797 11956 5798 11956 5792 11956 5793 11957 5792 11957 5798 11957 5799 11958 5794 11958 5795 11958 5799 11959 5797 11959 5794 11959 5799 11960 5795 11960 5800 11960 5793 11961 5800 11961 5795 11961 5801 11962 5793 11962 5795 11962 5801 11963 5795 11963 5796 11963 5793 11964 5798 11964 5800 11964 5802 11965 5800 11965 5798 11965 5803 11966 5799 11966 5800 11966 5802 11967 5803 11967 5800 11967 5804 11968 5798 11968 5797 11968 5804 11969 5802 11969 5798 11969 5805 11970 5797 11970 5799 11970 5804 11971 5797 11971 5805 11971 5803 11972 5805 11972 5799 11972 5787 11973 5793 11973 5801 11973 5802 11974 5805 11974 5803 11974 5804 11975 5805 11975 5802 11975 5796 11976 5768 11976 5769 11976 5801 11977 5769 11977 5772 11977 5801 11978 5796 11978 5769 11978 5787 11979 5801 11979 5772 11979 5784 11980 5785 11980 5781 11980 5780 11981 5784 11981 5781 11981 5780 11982 5783 11982 5784 11982 5780 11983 5782 11983 5783 11983 5806 11984 5807 11984 5808 11984 5809 11985 5808 11985 5807 11985 5810 11986 5806 11986 5808 11986 5811 11987 5808 11987 5812 11987 5813 11988 5812 11988 5808 11988 5811 11989 5814 11989 5808 11989 5810 11990 5808 11990 5814 11990 5809 11991 5813 11991 5808 11991 5806 11992 5815 11992 5807 11992 5816 11993 5807 11993 5815 11993 5816 11994 5809 11994 5807 11994 5817 11995 5815 11995 5806 11995 5817 11996 5816 11996 5815 11996 5818 11997 5819 11997 5806 11997 5820 11998 5806 11998 5819 11998 5810 11999 5818 11999 5806 11999 5820 12000 5817 12000 5806 12000 5812 12001 5821 12001 5819 12001 5822 12002 5819 12002 5821 12002 5823 12003 5812 12003 5819 12003 5824 12004 5823 12004 5819 12004 5818 12005 5824 12005 5819 12005 5820 12006 5819 12006 5822 12006 5812 12007 5825 12007 5821 12007 5826 12008 5821 12008 5825 12008 5826 12009 5822 12009 5821 12009 5827 12010 5825 12010 5812 12010 5827 12011 5826 12011 5825 12011 5823 12012 5811 12012 5812 12012 5813 12013 5827 12013 5812 12013 5828 12014 5814 12014 5811 12014 5829 12015 5810 12015 5814 12015 5828 12016 5829 12016 5814 12016 5830 12017 5811 12017 5823 12017 5828 12018 5811 12018 5830 12018 5831 12019 5823 12019 5824 12019 5830 12020 5823 12020 5831 12020 5832 12021 5824 12021 5818 12021 5831 12022 5824 12022 5832 12022 5833 12023 5818 12023 5810 12023 5832 12024 5818 12024 5833 12024 5833 12025 5810 12025 5829 12025 5834 12026 5822 12026 5826 12026 5835 12027 5822 12027 5834 12027 5835 12028 5820 12028 5822 12028 5836 12029 5826 12029 5827 12029 5836 12030 5834 12030 5826 12030 5837 12031 5827 12031 5813 12031 5837 12032 5836 12032 5827 12032 5838 12033 5813 12033 5809 12033 5838 12034 5837 12034 5813 12034 5839 12035 5838 12035 5809 12035 5816 12036 5839 12036 5809 12036 5840 12037 5834 12037 5836 12037 5841 12038 5834 12038 5840 12038 5835 12039 5834 12039 5841 12039 5840 12040 5836 12040 5837 12040 5842 12041 5837 12041 5838 12041 5842 12042 5840 12042 5837 12042 5842 12043 5838 12043 5839 12043 5843 12044 5842 12044 5839 12044 5844 12045 5843 12045 5839 12045 5844 12046 5839 12046 5816 12046 5845 12047 5840 12047 5842 12047 5845 12048 5846 12048 5840 12048 5841 12049 5840 12049 5846 12049 5847 12050 5842 12050 5843 12050 5847 12051 5845 12051 5842 12051 5847 12052 5843 12052 5848 12052 5841 12053 5848 12053 5843 12053 5849 12054 5841 12054 5843 12054 5849 12055 5843 12055 5844 12055 5841 12056 5846 12056 5848 12056 5850 12057 5848 12057 5846 12057 5851 12058 5847 12058 5848 12058 5850 12059 5851 12059 5848 12059 5852 12060 5846 12060 5845 12060 5852 12061 5850 12061 5846 12061 5853 12062 5845 12062 5847 12062 5852 12063 5845 12063 5853 12063 5851 12064 5853 12064 5847 12064 5835 12065 5841 12065 5849 12065 5850 12066 5853 12066 5851 12066 5852 12067 5853 12067 5850 12067 5844 12068 5816 12068 5817 12068 5849 12069 5817 12069 5820 12069 5849 12070 5844 12070 5817 12070 5835 12071 5849 12071 5820 12071 5832 12072 5833 12072 5829 12072 5828 12073 5832 12073 5829 12073 5828 12074 5831 12074 5832 12074 5828 12075 5830 12075 5831 12075 5854 12076 5855 12076 5856 12076 5857 12077 5856 12077 5855 12077 5858 12078 5854 12078 5856 12078 5859 12079 5856 12079 5860 12079 5861 12080 5860 12080 5856 12080 5859 12081 5862 12081 5856 12081 5858 12082 5856 12082 5862 12082 5857 12083 5861 12083 5856 12083 5854 12084 5863 12084 5855 12084 5864 12085 5855 12085 5863 12085 5864 12086 5857 12086 5855 12086 5865 12087 5863 12087 5854 12087 5865 12088 5864 12088 5863 12088 5866 12089 5867 12089 5854 12089 5868 12090 5854 12090 5867 12090 5858 12091 5866 12091 5854 12091 5868 12092 5865 12092 5854 12092 5860 12093 5869 12093 5867 12093 5870 12094 5867 12094 5869 12094 5871 12095 5860 12095 5867 12095 5872 12096 5871 12096 5867 12096 5866 12097 5872 12097 5867 12097 5868 12098 5867 12098 5870 12098 5860 12099 5873 12099 5869 12099 5874 12100 5869 12100 5873 12100 5874 12101 5870 12101 5869 12101 5875 12102 5873 12102 5860 12102 5875 12103 5874 12103 5873 12103 5871 12104 5859 12104 5860 12104 5861 12105 5875 12105 5860 12105 5876 12106 5862 12106 5859 12106 5877 12107 5858 12107 5862 12107 5876 12108 5877 12108 5862 12108 5878 12109 5859 12109 5871 12109 5876 12110 5859 12110 5878 12110 5879 12111 5871 12111 5872 12111 5878 12112 5871 12112 5879 12112 5880 12113 5872 12113 5866 12113 5879 12114 5872 12114 5880 12114 5881 12115 5866 12115 5858 12115 5880 12116 5866 12116 5881 12116 5881 12117 5858 12117 5877 12117 5882 12118 5870 12118 5874 12118 5883 12119 5870 12119 5882 12119 5883 12120 5868 12120 5870 12120 5884 12121 5874 12121 5875 12121 5884 12122 5882 12122 5874 12122 5885 12123 5875 12123 5861 12123 5885 12124 5884 12124 5875 12124 5886 12125 5861 12125 5857 12125 5886 12126 5885 12126 5861 12126 5887 12127 5886 12127 5857 12127 5864 12128 5887 12128 5857 12128 5888 12129 5882 12129 5884 12129 5889 12130 5882 12130 5888 12130 5883 12131 5882 12131 5889 12131 5888 12132 5884 12132 5885 12132 5890 12133 5885 12133 5886 12133 5890 12134 5888 12134 5885 12134 5890 12135 5886 12135 5887 12135 5891 12136 5890 12136 5887 12136 5892 12137 5891 12137 5887 12137 5892 12138 5887 12138 5864 12138 5893 12139 5888 12139 5890 12139 5893 12140 5894 12140 5888 12140 5889 12141 5888 12141 5894 12141 5895 12142 5890 12142 5891 12142 5895 12143 5893 12143 5890 12143 5895 12144 5891 12144 5896 12144 5889 12145 5896 12145 5891 12145 5897 12146 5889 12146 5891 12146 5897 12147 5891 12147 5892 12147 5889 12148 5894 12148 5896 12148 5898 12149 5896 12149 5894 12149 5899 12150 5895 12150 5896 12150 5898 12151 5899 12151 5896 12151 5900 12152 5894 12152 5893 12152 5900 12153 5898 12153 5894 12153 5901 12154 5893 12154 5895 12154 5900 12155 5893 12155 5901 12155 5899 12156 5901 12156 5895 12156 5883 12157 5889 12157 5897 12157 5898 12158 5901 12158 5899 12158 5900 12159 5901 12159 5898 12159 5892 12160 5864 12160 5865 12160 5897 12161 5865 12161 5868 12161 5897 12162 5892 12162 5865 12162 5883 12163 5897 12163 5868 12163 5880 12164 5881 12164 5877 12164 5876 12165 5880 12165 5877 12165 5876 12166 5879 12166 5880 12166 5876 12167 5878 12167 5879 12167 5902 12168 5903 12168 5904 12168 5905 12169 5904 12169 5903 12169 5906 12170 5902 12170 5904 12170 5907 12171 5904 12171 5908 12171 5909 12172 5908 12172 5904 12172 5907 12173 5910 12173 5904 12173 5906 12174 5904 12174 5910 12174 5905 12175 5909 12175 5904 12175 5902 12176 5911 12176 5903 12176 5912 12177 5903 12177 5911 12177 5912 12178 5905 12178 5903 12178 5913 12179 5911 12179 5902 12179 5913 12180 5912 12180 5911 12180 5914 12181 5915 12181 5902 12181 5916 12182 5902 12182 5915 12182 5906 12183 5914 12183 5902 12183 5916 12184 5913 12184 5902 12184 5908 12185 5917 12185 5915 12185 5918 12186 5915 12186 5917 12186 5919 12187 5908 12187 5915 12187 5920 12188 5919 12188 5915 12188 5914 12189 5920 12189 5915 12189 5916 12190 5915 12190 5918 12190 5908 12191 5921 12191 5917 12191 5922 12192 5917 12192 5921 12192 5922 12193 5918 12193 5917 12193 5923 12194 5921 12194 5908 12194 5923 12195 5922 12195 5921 12195 5919 12196 5907 12196 5908 12196 5909 12197 5923 12197 5908 12197 5924 12198 5910 12198 5907 12198 5925 12199 5906 12199 5910 12199 5924 12200 5925 12200 5910 12200 5926 12201 5907 12201 5919 12201 5924 12202 5907 12202 5926 12202 5927 12203 5919 12203 5920 12203 5926 12204 5919 12204 5927 12204 5928 12205 5920 12205 5914 12205 5927 12206 5920 12206 5928 12206 5929 12207 5914 12207 5906 12207 5928 12208 5914 12208 5929 12208 5929 12209 5906 12209 5925 12209 5930 12210 5918 12210 5922 12210 5931 12211 5918 12211 5930 12211 5931 12212 5916 12212 5918 12212 5932 12213 5922 12213 5923 12213 5932 12214 5930 12214 5922 12214 5933 12215 5923 12215 5909 12215 5933 12216 5932 12216 5923 12216 5934 12217 5909 12217 5905 12217 5934 12218 5933 12218 5909 12218 5935 12219 5934 12219 5905 12219 5912 12220 5935 12220 5905 12220 5936 12221 5930 12221 5932 12221 5937 12222 5930 12222 5936 12222 5931 12223 5930 12223 5937 12223 5936 12224 5932 12224 5933 12224 5938 12225 5933 12225 5934 12225 5938 12226 5936 12226 5933 12226 5938 12227 5934 12227 5935 12227 5939 12228 5938 12228 5935 12228 5940 12229 5939 12229 5935 12229 5940 12230 5935 12230 5912 12230 5941 12231 5936 12231 5938 12231 5941 12232 5942 12232 5936 12232 5937 12233 5936 12233 5942 12233 5943 12234 5938 12234 5939 12234 5943 12235 5941 12235 5938 12235 5943 12236 5939 12236 5944 12236 5937 12237 5944 12237 5939 12237 5945 12238 5937 12238 5939 12238 5945 12239 5939 12239 5940 12239 5937 12240 5942 12240 5944 12240 5946 12241 5944 12241 5942 12241 5947 12242 5943 12242 5944 12242 5946 12243 5947 12243 5944 12243 5948 12244 5942 12244 5941 12244 5948 12245 5946 12245 5942 12245 5949 12246 5941 12246 5943 12246 5948 12247 5941 12247 5949 12247 5947 12248 5949 12248 5943 12248 5931 12249 5937 12249 5945 12249 5946 12250 5949 12250 5947 12250 5948 12251 5949 12251 5946 12251 5940 12252 5912 12252 5913 12252 5945 12253 5913 12253 5916 12253 5945 12254 5940 12254 5913 12254 5931 12255 5945 12255 5916 12255 5928 12256 5929 12256 5925 12256 5924 12257 5928 12257 5925 12257 5924 12258 5927 12258 5928 12258 5924 12259 5926 12259 5927 12259 5950 12260 5951 12260 5952 12260 5953 12261 5952 12261 5951 12261 5954 12262 5950 12262 5952 12262 5955 12263 5952 12263 5956 12263 5957 12264 5956 12264 5952 12264 5955 12265 5958 12265 5952 12265 5954 12266 5952 12266 5958 12266 5953 12267 5957 12267 5952 12267 5950 12268 5959 12268 5951 12268 5960 12269 5951 12269 5959 12269 5960 12270 5953 12270 5951 12270 5961 12271 5959 12271 5950 12271 5961 12272 5960 12272 5959 12272 5962 12273 5963 12273 5950 12273 5964 12274 5950 12274 5963 12274 5954 12275 5962 12275 5950 12275 5964 12276 5961 12276 5950 12276 5956 12277 5965 12277 5963 12277 5966 12278 5963 12278 5965 12278 5967 12279 5956 12279 5963 12279 5968 12280 5967 12280 5963 12280 5962 12281 5968 12281 5963 12281 5964 12282 5963 12282 5966 12282 5956 12283 5969 12283 5965 12283 5970 12284 5965 12284 5969 12284 5970 12285 5966 12285 5965 12285 5971 12286 5969 12286 5956 12286 5971 12287 5970 12287 5969 12287 5967 12288 5955 12288 5956 12288 5957 12289 5971 12289 5956 12289 5972 12290 5958 12290 5955 12290 5973 12291 5954 12291 5958 12291 5972 12292 5973 12292 5958 12292 5974 12293 5955 12293 5967 12293 5972 12294 5955 12294 5974 12294 5975 12295 5967 12295 5968 12295 5974 12296 5967 12296 5975 12296 5976 12297 5968 12297 5962 12297 5975 12298 5968 12298 5976 12298 5977 12299 5962 12299 5954 12299 5976 12300 5962 12300 5977 12300 5977 12301 5954 12301 5973 12301 5978 12302 5966 12302 5970 12302 5979 12303 5966 12303 5978 12303 5979 12304 5964 12304 5966 12304 5980 12305 5970 12305 5971 12305 5980 12306 5978 12306 5970 12306 5981 12307 5971 12307 5957 12307 5981 12308 5980 12308 5971 12308 5982 12309 5957 12309 5953 12309 5982 12310 5981 12310 5957 12310 5983 12311 5982 12311 5953 12311 5960 12312 5983 12312 5953 12312 5984 12313 5978 12313 5980 12313 5985 12314 5978 12314 5984 12314 5979 12315 5978 12315 5985 12315 5984 12316 5980 12316 5981 12316 5986 12317 5981 12317 5982 12317 5986 12318 5984 12318 5981 12318 5986 12319 5982 12319 5983 12319 5987 12320 5986 12320 5983 12320 5988 12321 5987 12321 5983 12321 5988 12322 5983 12322 5960 12322 5989 12323 5984 12323 5986 12323 5989 12324 5990 12324 5984 12324 5985 12325 5984 12325 5990 12325 5991 12326 5986 12326 5987 12326 5991 12327 5989 12327 5986 12327 5991 12328 5987 12328 5992 12328 5985 12329 5992 12329 5987 12329 5993 12330 5985 12330 5987 12330 5993 12331 5987 12331 5988 12331 5985 12332 5990 12332 5992 12332 5994 12333 5992 12333 5990 12333 5995 12334 5991 12334 5992 12334 5994 12335 5995 12335 5992 12335 5996 12336 5990 12336 5989 12336 5996 12337 5994 12337 5990 12337 5997 12338 5989 12338 5991 12338 5996 12339 5989 12339 5997 12339 5995 12340 5997 12340 5991 12340 5979 12341 5985 12341 5993 12341 5994 12342 5997 12342 5995 12342 5996 12343 5997 12343 5994 12343 5988 12344 5960 12344 5961 12344 5993 12345 5961 12345 5964 12345 5993 12346 5988 12346 5961 12346 5979 12347 5993 12347 5964 12347 5976 12348 5977 12348 5973 12348 5972 12349 5976 12349 5973 12349 5972 12350 5975 12350 5976 12350 5972 12351 5974 12351 5975 12351 5998 12352 5999 12352 6000 12352 6001 12353 6000 12353 5999 12353 6002 12354 5998 12354 6000 12354 6003 12355 6000 12355 6004 12355 6005 12356 6004 12356 6000 12356 6003 12357 6006 12357 6000 12357 6002 12358 6000 12358 6006 12358 6001 12359 6005 12359 6000 12359 5998 12360 6007 12360 5999 12360 6008 12361 5999 12361 6007 12361 6008 12362 6001 12362 5999 12362 6009 12363 6007 12363 5998 12363 6009 12364 6008 12364 6007 12364 6010 12365 6011 12365 5998 12365 6012 12366 5998 12366 6011 12366 6002 12367 6010 12367 5998 12367 6012 12368 6009 12368 5998 12368 6004 12369 6013 12369 6011 12369 6014 12370 6011 12370 6013 12370 6015 12371 6004 12371 6011 12371 6016 12372 6015 12372 6011 12372 6010 12373 6016 12373 6011 12373 6012 12374 6011 12374 6014 12374 6004 12375 6017 12375 6013 12375 6018 12376 6013 12376 6017 12376 6018 12377 6014 12377 6013 12377 6019 12378 6017 12378 6004 12378 6019 12379 6018 12379 6017 12379 6015 12380 6003 12380 6004 12380 6005 12381 6019 12381 6004 12381 6020 12382 6006 12382 6003 12382 6021 12383 6002 12383 6006 12383 6020 12384 6021 12384 6006 12384 6022 12385 6003 12385 6015 12385 6020 12386 6003 12386 6022 12386 6023 12387 6015 12387 6016 12387 6022 12388 6015 12388 6023 12388 6024 12389 6016 12389 6010 12389 6023 12390 6016 12390 6024 12390 6025 12391 6010 12391 6002 12391 6024 12392 6010 12392 6025 12392 6025 12393 6002 12393 6021 12393 6026 12394 6014 12394 6018 12394 6027 12395 6014 12395 6026 12395 6027 12396 6012 12396 6014 12396 6028 12397 6018 12397 6019 12397 6028 12398 6026 12398 6018 12398 6029 12399 6019 12399 6005 12399 6029 12400 6028 12400 6019 12400 6030 12401 6005 12401 6001 12401 6030 12402 6029 12402 6005 12402 6031 12403 6030 12403 6001 12403 6008 12404 6031 12404 6001 12404 6032 12405 6026 12405 6028 12405 6033 12406 6026 12406 6032 12406 6027 12407 6026 12407 6033 12407 6032 12408 6028 12408 6029 12408 6034 12409 6029 12409 6030 12409 6034 12410 6032 12410 6029 12410 6034 12411 6030 12411 6031 12411 6035 12412 6034 12412 6031 12412 6036 12413 6035 12413 6031 12413 6036 12414 6031 12414 6008 12414 6037 12415 6032 12415 6034 12415 6037 12416 6038 12416 6032 12416 6033 12417 6032 12417 6038 12417 6039 12418 6034 12418 6035 12418 6039 12419 6037 12419 6034 12419 6039 12420 6035 12420 6040 12420 6033 12421 6040 12421 6035 12421 6041 12422 6033 12422 6035 12422 6041 12423 6035 12423 6036 12423 6033 12424 6038 12424 6040 12424 6042 12425 6040 12425 6038 12425 6043 12426 6039 12426 6040 12426 6042 12427 6043 12427 6040 12427 6044 12428 6038 12428 6037 12428 6044 12429 6042 12429 6038 12429 6045 12430 6037 12430 6039 12430 6044 12431 6037 12431 6045 12431 6043 12432 6045 12432 6039 12432 6027 12433 6033 12433 6041 12433 6042 12434 6045 12434 6043 12434 6044 12435 6045 12435 6042 12435 6036 12436 6008 12436 6009 12436 6041 12437 6009 12437 6012 12437 6041 12438 6036 12438 6009 12438 6027 12439 6041 12439 6012 12439 6024 12440 6025 12440 6021 12440 6020 12441 6024 12441 6021 12441 6020 12442 6023 12442 6024 12442 6020 12443 6022 12443 6023 12443 6046 12444 6047 12444 6048 12444 6049 12445 6048 12445 6047 12445 6050 12446 6046 12446 6048 12446 6051 12447 6048 12447 6052 12447 6053 12448 6052 12448 6048 12448 6051 12449 6054 12449 6048 12449 6050 12450 6048 12450 6054 12450 6049 12451 6053 12451 6048 12451 6046 12452 6055 12452 6047 12452 6056 12453 6047 12453 6055 12453 6056 12454 6049 12454 6047 12454 6057 12455 6055 12455 6046 12455 6057 12456 6056 12456 6055 12456 6058 12457 6059 12457 6046 12457 6060 12458 6046 12458 6059 12458 6050 12459 6058 12459 6046 12459 6060 12460 6057 12460 6046 12460 6052 12461 6061 12461 6059 12461 6062 12462 6059 12462 6061 12462 6063 12463 6052 12463 6059 12463 6064 12464 6063 12464 6059 12464 6058 12465 6064 12465 6059 12465 6060 12466 6059 12466 6062 12466 6052 12467 6065 12467 6061 12467 6066 12468 6061 12468 6065 12468 6066 12469 6062 12469 6061 12469 6067 12470 6065 12470 6052 12470 6067 12471 6066 12471 6065 12471 6063 12472 6051 12472 6052 12472 6053 12473 6067 12473 6052 12473 6068 12474 6054 12474 6051 12474 6069 12475 6050 12475 6054 12475 6068 12476 6069 12476 6054 12476 6070 12477 6051 12477 6063 12477 6068 12478 6051 12478 6070 12478 6071 12479 6063 12479 6064 12479 6070 12480 6063 12480 6071 12480 6072 12481 6064 12481 6058 12481 6071 12482 6064 12482 6072 12482 6073 12483 6058 12483 6050 12483 6072 12484 6058 12484 6073 12484 6073 12485 6050 12485 6069 12485 6074 12486 6062 12486 6066 12486 6075 12487 6062 12487 6074 12487 6075 12488 6060 12488 6062 12488 6076 12489 6066 12489 6067 12489 6076 12490 6074 12490 6066 12490 6077 12491 6067 12491 6053 12491 6077 12492 6076 12492 6067 12492 6078 12493 6053 12493 6049 12493 6078 12494 6077 12494 6053 12494 6079 12495 6078 12495 6049 12495 6056 12496 6079 12496 6049 12496 6080 12497 6074 12497 6076 12497 6081 12498 6074 12498 6080 12498 6075 12499 6074 12499 6081 12499 6080 12500 6076 12500 6077 12500 6082 12501 6077 12501 6078 12501 6082 12502 6080 12502 6077 12502 6082 12503 6078 12503 6079 12503 6083 12504 6082 12504 6079 12504 6084 12505 6083 12505 6079 12505 6084 12506 6079 12506 6056 12506 6085 12507 6080 12507 6082 12507 6085 12508 6086 12508 6080 12508 6081 12509 6080 12509 6086 12509 6087 12510 6082 12510 6083 12510 6087 12511 6085 12511 6082 12511 6087 12512 6083 12512 6088 12512 6081 12513 6088 12513 6083 12513 6089 12514 6081 12514 6083 12514 6089 12515 6083 12515 6084 12515 6081 12516 6086 12516 6088 12516 6090 12517 6088 12517 6086 12517 6091 12518 6087 12518 6088 12518 6090 12519 6091 12519 6088 12519 6092 12520 6086 12520 6085 12520 6092 12521 6090 12521 6086 12521 6093 12522 6085 12522 6087 12522 6092 12523 6085 12523 6093 12523 6091 12524 6093 12524 6087 12524 6075 12525 6081 12525 6089 12525 6090 12526 6093 12526 6091 12526 6092 12527 6093 12527 6090 12527 6084 12528 6056 12528 6057 12528 6089 12529 6057 12529 6060 12529 6089 12530 6084 12530 6057 12530 6075 12531 6089 12531 6060 12531 6072 12532 6073 12532 6069 12532 6068 12533 6072 12533 6069 12533 6068 12534 6071 12534 6072 12534 6068 12535 6070 12535 6071 12535 6094 12536 6095 12536 6096 12536 6097 12537 6096 12537 6095 12537 6098 12538 6094 12538 6096 12538 6099 12539 6096 12539 6100 12539 6101 12540 6100 12540 6096 12540 6099 12541 6102 12541 6096 12541 6098 12542 6096 12542 6102 12542 6097 12543 6101 12543 6096 12543 6094 12544 6103 12544 6095 12544 6104 12545 6095 12545 6103 12545 6104 12546 6097 12546 6095 12546 6105 12547 6103 12547 6094 12547 6105 12548 6104 12548 6103 12548 6106 12549 6107 12549 6094 12549 6108 12550 6094 12550 6107 12550 6098 12551 6106 12551 6094 12551 6108 12552 6105 12552 6094 12552 6100 12553 6109 12553 6107 12553 6110 12554 6107 12554 6109 12554 6111 12555 6100 12555 6107 12555 6112 12556 6111 12556 6107 12556 6106 12557 6112 12557 6107 12557 6108 12558 6107 12558 6110 12558 6100 12559 6113 12559 6109 12559 6114 12560 6109 12560 6113 12560 6114 12561 6110 12561 6109 12561 6115 12562 6113 12562 6100 12562 6115 12563 6114 12563 6113 12563 6111 12564 6099 12564 6100 12564 6101 12565 6115 12565 6100 12565 6116 12566 6102 12566 6099 12566 6117 12567 6098 12567 6102 12567 6116 12568 6117 12568 6102 12568 6118 12569 6099 12569 6111 12569 6116 12570 6099 12570 6118 12570 6119 12571 6111 12571 6112 12571 6118 12572 6111 12572 6119 12572 6120 12573 6112 12573 6106 12573 6119 12574 6112 12574 6120 12574 6121 12575 6106 12575 6098 12575 6120 12576 6106 12576 6121 12576 6121 12577 6098 12577 6117 12577 6122 12578 6110 12578 6114 12578 6123 12579 6110 12579 6122 12579 6123 12580 6108 12580 6110 12580 6124 12581 6114 12581 6115 12581 6124 12582 6122 12582 6114 12582 6125 12583 6115 12583 6101 12583 6125 12584 6124 12584 6115 12584 6126 12585 6101 12585 6097 12585 6126 12586 6125 12586 6101 12586 6127 12587 6126 12587 6097 12587 6104 12588 6127 12588 6097 12588 6128 12589 6122 12589 6124 12589 6129 12590 6122 12590 6128 12590 6123 12591 6122 12591 6129 12591 6128 12592 6124 12592 6125 12592 6130 12593 6125 12593 6126 12593 6130 12594 6128 12594 6125 12594 6130 12595 6126 12595 6127 12595 6131 12596 6130 12596 6127 12596 6132 12597 6131 12597 6127 12597 6132 12598 6127 12598 6104 12598 6133 12599 6128 12599 6130 12599 6133 12600 6134 12600 6128 12600 6129 12601 6128 12601 6134 12601 6135 12602 6130 12602 6131 12602 6135 12603 6133 12603 6130 12603 6135 12604 6131 12604 6136 12604 6129 12605 6136 12605 6131 12605 6137 12606 6129 12606 6131 12606 6137 12607 6131 12607 6132 12607 6129 12608 6134 12608 6136 12608 6138 12609 6136 12609 6134 12609 6139 12610 6135 12610 6136 12610 6138 12611 6139 12611 6136 12611 6140 12612 6134 12612 6133 12612 6140 12613 6138 12613 6134 12613 6141 12614 6133 12614 6135 12614 6140 12615 6133 12615 6141 12615 6139 12616 6141 12616 6135 12616 6123 12617 6129 12617 6137 12617 6138 12618 6141 12618 6139 12618 6140 12619 6141 12619 6138 12619 6132 12620 6104 12620 6105 12620 6137 12621 6105 12621 6108 12621 6137 12622 6132 12622 6105 12622 6123 12623 6137 12623 6108 12623 6120 12624 6121 12624 6117 12624 6116 12625 6120 12625 6117 12625 6116 12626 6119 12626 6120 12626 6116 12627 6118 12627 6119 12627 6142 12628 6143 12628 6144 12628 6145 12629 6144 12629 6143 12629 6146 12630 6142 12630 6144 12630 6147 12631 6144 12631 6148 12631 6149 12632 6148 12632 6144 12632 6147 12633 6150 12633 6144 12633 6146 12634 6144 12634 6150 12634 6145 12635 6149 12635 6144 12635 6142 12636 6151 12636 6143 12636 6152 12637 6143 12637 6151 12637 6152 12638 6145 12638 6143 12638 6153 12639 6151 12639 6142 12639 6153 12640 6152 12640 6151 12640 6154 12641 6155 12641 6142 12641 6156 12642 6142 12642 6155 12642 6146 12643 6154 12643 6142 12643 6156 12644 6153 12644 6142 12644 6148 12645 6157 12645 6155 12645 6158 12646 6155 12646 6157 12646 6159 12647 6148 12647 6155 12647 6160 12648 6159 12648 6155 12648 6154 12649 6160 12649 6155 12649 6156 12650 6155 12650 6158 12650 6148 12651 6161 12651 6157 12651 6162 12652 6157 12652 6161 12652 6162 12653 6158 12653 6157 12653 6163 12654 6161 12654 6148 12654 6163 12655 6162 12655 6161 12655 6159 12656 6147 12656 6148 12656 6149 12657 6163 12657 6148 12657 6164 12658 6150 12658 6147 12658 6165 12659 6146 12659 6150 12659 6164 12660 6165 12660 6150 12660 6166 12661 6147 12661 6159 12661 6164 12662 6147 12662 6166 12662 6167 12663 6159 12663 6160 12663 6166 12664 6159 12664 6167 12664 6168 12665 6160 12665 6154 12665 6167 12666 6160 12666 6168 12666 6169 12667 6154 12667 6146 12667 6168 12668 6154 12668 6169 12668 6169 12669 6146 12669 6165 12669 6170 12670 6158 12670 6162 12670 6171 12671 6158 12671 6170 12671 6171 12672 6156 12672 6158 12672 6172 12673 6162 12673 6163 12673 6172 12674 6170 12674 6162 12674 6173 12675 6163 12675 6149 12675 6173 12676 6172 12676 6163 12676 6174 12677 6149 12677 6145 12677 6174 12678 6173 12678 6149 12678 6175 12679 6174 12679 6145 12679 6152 12680 6175 12680 6145 12680 6176 12681 6170 12681 6172 12681 6177 12682 6170 12682 6176 12682 6171 12683 6170 12683 6177 12683 6176 12684 6172 12684 6173 12684 6178 12685 6173 12685 6174 12685 6178 12686 6176 12686 6173 12686 6178 12687 6174 12687 6175 12687 6179 12688 6178 12688 6175 12688 6180 12689 6179 12689 6175 12689 6180 12690 6175 12690 6152 12690 6181 12691 6176 12691 6178 12691 6181 12692 6182 12692 6176 12692 6177 12693 6176 12693 6182 12693 6183 12694 6178 12694 6179 12694 6183 12695 6181 12695 6178 12695 6183 12696 6179 12696 6184 12696 6177 12697 6184 12697 6179 12697 6185 12698 6177 12698 6179 12698 6185 12699 6179 12699 6180 12699 6177 12700 6182 12700 6184 12700 6186 12701 6184 12701 6182 12701 6187 12702 6183 12702 6184 12702 6186 12703 6187 12703 6184 12703 6188 12704 6182 12704 6181 12704 6188 12705 6186 12705 6182 12705 6189 12706 6181 12706 6183 12706 6188 12707 6181 12707 6189 12707 6187 12708 6189 12708 6183 12708 6171 12709 6177 12709 6185 12709 6186 12710 6189 12710 6187 12710 6188 12711 6189 12711 6186 12711 6180 12712 6152 12712 6153 12712 6185 12713 6153 12713 6156 12713 6185 12714 6180 12714 6153 12714 6171 12715 6185 12715 6156 12715 6168 12716 6169 12716 6165 12716 6164 12717 6168 12717 6165 12717 6164 12718 6167 12718 6168 12718 6164 12719 6166 12719 6167 12719 5603 12720 5599 12720 5591 12720 6190 12721 5603 12721 5591 12721 6191 12722 5591 12722 5592 12722 6191 12723 6192 12723 5591 12723 6190 12724 5591 12724 6192 12724 5603 12725 5590 12725 5599 12725 6193 12726 5605 12726 5603 12726 6190 12727 6193 12727 5603 12727 5592 12728 5609 12728 5605 12728 6194 12729 5592 12729 5605 12729 6195 12730 6194 12730 5605 12730 6193 12731 6195 12731 5605 12731 5592 12732 5596 12732 5609 12732 6194 12733 6191 12733 5592 12733 6196 12734 6192 12734 6191 12734 6197 12735 6190 12735 6192 12735 6196 12736 6197 12736 6192 12736 6198 12737 6191 12737 6194 12737 6196 12738 6191 12738 6198 12738 6199 12739 6194 12739 6195 12739 6198 12740 6194 12740 6199 12740 6200 12741 6195 12741 6193 12741 6199 12742 6195 12742 6200 12742 6201 12743 6193 12743 6190 12743 6200 12744 6193 12744 6201 12744 6201 12745 6190 12745 6197 12745 6202 12746 5620 12746 5621 12746 6203 12747 5620 12747 6202 12747 5618 12748 5620 12748 6203 12748 6202 12749 5621 12749 5622 12749 6204 12750 5622 12750 5623 12750 6204 12751 6202 12751 5622 12751 6204 12752 5623 12752 5628 12752 6205 12753 6204 12753 5628 12753 5633 12754 6205 12754 5628 12754 6206 12755 6202 12755 6204 12755 6206 12756 6207 12756 6202 12756 6203 12757 6202 12757 6207 12757 6208 12758 6204 12758 6205 12758 6208 12759 6206 12759 6204 12759 6208 12760 6205 12760 6209 12760 6203 12761 6209 12761 6205 12761 5619 12762 6203 12762 6205 12762 5619 12763 6205 12763 5633 12763 6203 12764 6207 12764 6209 12764 6210 12765 6209 12765 6207 12765 6211 12766 6208 12766 6209 12766 6210 12767 6211 12767 6209 12767 6212 12768 6207 12768 6206 12768 6212 12769 6210 12769 6207 12769 6213 12770 6206 12770 6208 12770 6212 12771 6206 12771 6213 12771 6211 12772 6213 12772 6208 12772 5618 12773 6203 12773 5619 12773 6210 12774 6213 12774 6211 12774 6212 12775 6213 12775 6210 12775 6200 12776 6201 12776 6197 12776 6196 12777 6200 12777 6197 12777 6196 12778 6199 12778 6200 12778 6196 12779 6198 12779 6199 12779 6214 12780 6215 12780 6216 12780 6217 12781 6216 12781 6215 12781 6218 12782 6214 12782 6216 12782 6219 12783 6216 12783 6220 12783 6221 12784 6220 12784 6216 12784 6219 12785 6222 12785 6216 12785 6218 12786 6216 12786 6222 12786 6217 12787 6221 12787 6216 12787 6214 12788 6223 12788 6215 12788 6224 12789 6215 12789 6223 12789 6224 12790 6217 12790 6215 12790 6225 12791 6223 12791 6214 12791 6225 12792 6224 12792 6223 12792 6226 12793 6227 12793 6214 12793 6228 12794 6214 12794 6227 12794 6218 12795 6226 12795 6214 12795 6228 12796 6225 12796 6214 12796 6220 12797 6229 12797 6227 12797 6230 12798 6227 12798 6229 12798 6231 12799 6220 12799 6227 12799 6232 12800 6231 12800 6227 12800 6226 12801 6232 12801 6227 12801 6228 12802 6227 12802 6230 12802 6220 12803 6233 12803 6229 12803 6234 12804 6229 12804 6233 12804 6234 12805 6230 12805 6229 12805 6235 12806 6233 12806 6220 12806 6235 12807 6234 12807 6233 12807 6231 12808 6219 12808 6220 12808 6221 12809 6235 12809 6220 12809 6236 12810 6222 12810 6219 12810 6237 12811 6218 12811 6222 12811 6236 12812 6237 12812 6222 12812 6238 12813 6219 12813 6231 12813 6236 12814 6219 12814 6238 12814 6239 12815 6231 12815 6232 12815 6238 12816 6231 12816 6239 12816 6240 12817 6232 12817 6226 12817 6239 12818 6232 12818 6240 12818 6241 12819 6226 12819 6218 12819 6240 12820 6226 12820 6241 12820 6241 12821 6218 12821 6237 12821 6242 12822 6230 12822 6234 12822 6243 12823 6230 12823 6242 12823 6243 12824 6228 12824 6230 12824 6244 12825 6234 12825 6235 12825 6244 12826 6242 12826 6234 12826 6245 12827 6235 12827 6221 12827 6245 12828 6244 12828 6235 12828 6246 12829 6221 12829 6217 12829 6246 12830 6245 12830 6221 12830 6247 12831 6246 12831 6217 12831 6224 12832 6247 12832 6217 12832 6248 12833 6242 12833 6244 12833 6249 12834 6242 12834 6248 12834 6243 12835 6242 12835 6249 12835 6248 12836 6244 12836 6245 12836 6250 12837 6245 12837 6246 12837 6250 12838 6248 12838 6245 12838 6250 12839 6246 12839 6247 12839 6251 12840 6250 12840 6247 12840 6252 12841 6251 12841 6247 12841 6252 12842 6247 12842 6224 12842 6253 12843 6248 12843 6250 12843 6253 12844 6254 12844 6248 12844 6249 12845 6248 12845 6254 12845 6255 12846 6250 12846 6251 12846 6255 12847 6253 12847 6250 12847 6255 12848 6251 12848 6256 12848 6249 12849 6256 12849 6251 12849 6257 12850 6249 12850 6251 12850 6257 12851 6251 12851 6252 12851 6249 12852 6254 12852 6256 12852 6258 12853 6256 12853 6254 12853 6259 12854 6255 12854 6256 12854 6258 12855 6259 12855 6256 12855 6260 12856 6254 12856 6253 12856 6260 12857 6258 12857 6254 12857 6261 12858 6253 12858 6255 12858 6260 12859 6253 12859 6261 12859 6259 12860 6261 12860 6255 12860 6243 12861 6249 12861 6257 12861 6258 12862 6261 12862 6259 12862 6260 12863 6261 12863 6258 12863 6252 12864 6224 12864 6225 12864 6257 12865 6225 12865 6228 12865 6257 12866 6252 12866 6225 12866 6243 12867 6257 12867 6228 12867 6240 12868 6241 12868 6237 12868 6236 12869 6240 12869 6237 12869 6236 12870 6239 12870 6240 12870 6236 12871 6238 12871 6239 12871 6262 12872 6263 12872 6264 12872 6265 12873 6264 12873 6263 12873 6266 12874 6262 12874 6264 12874 6267 12875 6264 12875 6268 12875 6269 12876 6268 12876 6264 12876 6267 12877 6270 12877 6264 12877 6266 12878 6264 12878 6270 12878 6265 12879 6269 12879 6264 12879 6262 12880 6271 12880 6263 12880 6272 12881 6263 12881 6271 12881 6272 12882 6265 12882 6263 12882 6273 12883 6271 12883 6262 12883 6273 12884 6272 12884 6271 12884 6274 12885 6275 12885 6262 12885 6276 12886 6262 12886 6275 12886 6266 12887 6274 12887 6262 12887 6276 12888 6273 12888 6262 12888 6268 12889 6277 12889 6275 12889 6278 12890 6275 12890 6277 12890 6279 12891 6268 12891 6275 12891 6280 12892 6279 12892 6275 12892 6274 12893 6280 12893 6275 12893 6276 12894 6275 12894 6278 12894 6268 12895 6281 12895 6277 12895 6282 12896 6277 12896 6281 12896 6282 12897 6278 12897 6277 12897 6283 12898 6281 12898 6268 12898 6283 12899 6282 12899 6281 12899 6279 12900 6267 12900 6268 12900 6269 12901 6283 12901 6268 12901 6284 12902 6270 12902 6267 12902 6285 12903 6266 12903 6270 12903 6284 12904 6285 12904 6270 12904 6286 12905 6267 12905 6279 12905 6284 12906 6267 12906 6286 12906 6287 12907 6279 12907 6280 12907 6286 12908 6279 12908 6287 12908 6288 12909 6280 12909 6274 12909 6287 12910 6280 12910 6288 12910 6289 12911 6274 12911 6266 12911 6288 12912 6274 12912 6289 12912 6289 12913 6266 12913 6285 12913 6290 12914 6278 12914 6282 12914 6291 12915 6278 12915 6290 12915 6291 12916 6276 12916 6278 12916 6292 12917 6282 12917 6283 12917 6292 12918 6290 12918 6282 12918 6293 12919 6283 12919 6269 12919 6293 12920 6292 12920 6283 12920 6294 12921 6269 12921 6265 12921 6294 12922 6293 12922 6269 12922 6295 12923 6294 12923 6265 12923 6272 12924 6295 12924 6265 12924 6296 12925 6290 12925 6292 12925 6297 12926 6290 12926 6296 12926 6291 12927 6290 12927 6297 12927 6296 12928 6292 12928 6293 12928 6298 12929 6293 12929 6294 12929 6298 12930 6296 12930 6293 12930 6298 12931 6294 12931 6295 12931 6299 12932 6298 12932 6295 12932 6300 12933 6299 12933 6295 12933 6300 12934 6295 12934 6272 12934 6301 12935 6296 12935 6298 12935 6301 12936 6302 12936 6296 12936 6297 12937 6296 12937 6302 12937 6303 12938 6298 12938 6299 12938 6303 12939 6301 12939 6298 12939 6303 12940 6299 12940 6304 12940 6297 12941 6304 12941 6299 12941 6305 12942 6297 12942 6299 12942 6305 12943 6299 12943 6300 12943 6297 12944 6302 12944 6304 12944 6306 12945 6304 12945 6302 12945 6307 12946 6303 12946 6304 12946 6306 12947 6307 12947 6304 12947 6308 12948 6302 12948 6301 12948 6308 12949 6306 12949 6302 12949 6309 12950 6301 12950 6303 12950 6308 12951 6301 12951 6309 12951 6307 12952 6309 12952 6303 12952 6291 12953 6297 12953 6305 12953 6306 12954 6309 12954 6307 12954 6308 12955 6309 12955 6306 12955 6300 12956 6272 12956 6273 12956 6305 12957 6273 12957 6276 12957 6305 12958 6300 12958 6273 12958 6291 12959 6305 12959 6276 12959 6288 12960 6289 12960 6285 12960 6284 12961 6288 12961 6285 12961 6284 12962 6287 12962 6288 12962 6284 12963 6286 12963 6287 12963 6310 12964 6311 12964 6312 12964 6313 12965 6312 12965 6311 12965 6314 12966 6310 12966 6312 12966 6315 12967 6312 12967 6316 12967 6317 12968 6316 12968 6312 12968 6315 12969 6318 12969 6312 12969 6314 12970 6312 12970 6318 12970 6313 12971 6317 12971 6312 12971 6310 12972 6319 12972 6311 12972 6320 12973 6311 12973 6319 12973 6320 12974 6313 12974 6311 12974 6321 12975 6319 12975 6310 12975 6321 12976 6320 12976 6319 12976 6322 12977 6323 12977 6310 12977 6324 12978 6310 12978 6323 12978 6314 12979 6322 12979 6310 12979 6324 12980 6321 12980 6310 12980 6316 12981 6325 12981 6323 12981 6326 12982 6323 12982 6325 12982 6327 12983 6316 12983 6323 12983 6328 12984 6327 12984 6323 12984 6322 12985 6328 12985 6323 12985 6324 12986 6323 12986 6326 12986 6316 12987 6329 12987 6325 12987 6330 12988 6325 12988 6329 12988 6330 12989 6326 12989 6325 12989 6331 12990 6329 12990 6316 12990 6331 12991 6330 12991 6329 12991 6327 12992 6315 12992 6316 12992 6317 12993 6331 12993 6316 12993 6332 12994 6318 12994 6315 12994 6333 12995 6314 12995 6318 12995 6332 12996 6333 12996 6318 12996 6334 12997 6315 12997 6327 12997 6332 12998 6315 12998 6334 12998 6335 12999 6327 12999 6328 12999 6334 13000 6327 13000 6335 13000 6336 13001 6328 13001 6322 13001 6335 13002 6328 13002 6336 13002 6337 13003 6322 13003 6314 13003 6336 13004 6322 13004 6337 13004 6337 13005 6314 13005 6333 13005 6338 13006 6326 13006 6330 13006 6339 13007 6326 13007 6338 13007 6339 13008 6324 13008 6326 13008 6340 13009 6330 13009 6331 13009 6340 13010 6338 13010 6330 13010 6341 13011 6331 13011 6317 13011 6341 13012 6340 13012 6331 13012 6342 13013 6317 13013 6313 13013 6342 13014 6341 13014 6317 13014 6343 13015 6342 13015 6313 13015 6320 13016 6343 13016 6313 13016 6344 13017 6338 13017 6340 13017 6345 13018 6338 13018 6344 13018 6339 13019 6338 13019 6345 13019 6344 13020 6340 13020 6341 13020 6346 13021 6341 13021 6342 13021 6346 13022 6344 13022 6341 13022 6346 13023 6342 13023 6343 13023 6347 13024 6346 13024 6343 13024 6348 13025 6347 13025 6343 13025 6348 13026 6343 13026 6320 13026 6349 13027 6344 13027 6346 13027 6349 13028 6350 13028 6344 13028 6345 13029 6344 13029 6350 13029 6351 13030 6346 13030 6347 13030 6351 13031 6349 13031 6346 13031 6351 13032 6347 13032 6352 13032 6345 13033 6352 13033 6347 13033 6353 13034 6345 13034 6347 13034 6353 13035 6347 13035 6348 13035 6345 13036 6350 13036 6352 13036 6354 13037 6352 13037 6350 13037 6355 13038 6351 13038 6352 13038 6354 13039 6355 13039 6352 13039 6356 13040 6350 13040 6349 13040 6356 13041 6354 13041 6350 13041 6357 13042 6349 13042 6351 13042 6356 13043 6349 13043 6357 13043 6355 13044 6357 13044 6351 13044 6339 13045 6345 13045 6353 13045 6354 13046 6357 13046 6355 13046 6356 13047 6357 13047 6354 13047 6348 13048 6320 13048 6321 13048 6353 13049 6321 13049 6324 13049 6353 13050 6348 13050 6321 13050 6339 13051 6353 13051 6324 13051 6336 13052 6337 13052 6333 13052 6332 13053 6336 13053 6333 13053 6332 13054 6335 13054 6336 13054 6332 13055 6334 13055 6335 13055 6358 13056 6359 13056 6360 13056 6361 13057 6360 13057 6359 13057 6362 13058 6358 13058 6360 13058 6363 13059 6360 13059 6364 13059 6365 13060 6364 13060 6360 13060 6363 13061 6366 13061 6360 13061 6362 13062 6360 13062 6366 13062 6361 13063 6365 13063 6360 13063 6358 13064 6367 13064 6359 13064 6368 13065 6359 13065 6367 13065 6368 13066 6361 13066 6359 13066 6369 13067 6367 13067 6358 13067 6369 13068 6368 13068 6367 13068 6370 13069 6371 13069 6358 13069 6372 13070 6358 13070 6371 13070 6362 13071 6370 13071 6358 13071 6372 13072 6369 13072 6358 13072 6364 13073 6373 13073 6371 13073 6374 13074 6371 13074 6373 13074 6375 13075 6364 13075 6371 13075 6376 13076 6375 13076 6371 13076 6370 13077 6376 13077 6371 13077 6372 13078 6371 13078 6374 13078 6364 13079 6377 13079 6373 13079 6378 13080 6373 13080 6377 13080 6378 13081 6374 13081 6373 13081 6379 13082 6377 13082 6364 13082 6379 13083 6378 13083 6377 13083 6375 13084 6363 13084 6364 13084 6365 13085 6379 13085 6364 13085 6380 13086 6366 13086 6363 13086 6381 13087 6362 13087 6366 13087 6380 13088 6381 13088 6366 13088 6382 13089 6363 13089 6375 13089 6380 13090 6363 13090 6382 13090 6383 13091 6375 13091 6376 13091 6382 13092 6375 13092 6383 13092 6384 13093 6376 13093 6370 13093 6383 13094 6376 13094 6384 13094 6385 13095 6370 13095 6362 13095 6384 13096 6370 13096 6385 13096 6385 13097 6362 13097 6381 13097 6386 13098 6374 13098 6378 13098 6387 13099 6374 13099 6386 13099 6387 13100 6372 13100 6374 13100 6388 13101 6378 13101 6379 13101 6388 13102 6386 13102 6378 13102 6389 13103 6379 13103 6365 13103 6389 13104 6388 13104 6379 13104 6390 13105 6365 13105 6361 13105 6390 13106 6389 13106 6365 13106 6391 13107 6390 13107 6361 13107 6368 13108 6391 13108 6361 13108 6392 13109 6386 13109 6388 13109 6393 13110 6386 13110 6392 13110 6387 13111 6386 13111 6393 13111 6392 13112 6388 13112 6389 13112 6394 13113 6389 13113 6390 13113 6394 13114 6392 13114 6389 13114 6394 13115 6390 13115 6391 13115 6395 13116 6394 13116 6391 13116 6396 13117 6395 13117 6391 13117 6396 13118 6391 13118 6368 13118 6397 13119 6392 13119 6394 13119 6397 13120 6398 13120 6392 13120 6393 13121 6392 13121 6398 13121 6399 13122 6394 13122 6395 13122 6399 13123 6397 13123 6394 13123 6399 13124 6395 13124 6400 13124 6393 13125 6400 13125 6395 13125 6401 13126 6393 13126 6395 13126 6401 13127 6395 13127 6396 13127 6393 13128 6398 13128 6400 13128 6402 13129 6400 13129 6398 13129 6403 13130 6399 13130 6400 13130 6402 13131 6403 13131 6400 13131 6404 13132 6398 13132 6397 13132 6404 13133 6402 13133 6398 13133 6405 13134 6397 13134 6399 13134 6404 13135 6397 13135 6405 13135 6403 13136 6405 13136 6399 13136 6387 13137 6393 13137 6401 13137 6402 13138 6405 13138 6403 13138 6404 13139 6405 13139 6402 13139 6396 13140 6368 13140 6369 13140 6401 13141 6369 13141 6372 13141 6401 13142 6396 13142 6369 13142 6387 13143 6401 13143 6372 13143 6384 13144 6385 13144 6381 13144 6380 13145 6384 13145 6381 13145 6380 13146 6383 13146 6384 13146 6380 13147 6382 13147 6383 13147 6406 13148 6407 13148 6408 13148 6409 13149 6408 13149 6407 13149 6410 13150 6406 13150 6408 13150 6411 13151 6408 13151 6412 13151 6413 13152 6412 13152 6408 13152 6411 13153 6414 13153 6408 13153 6410 13154 6408 13154 6414 13154 6409 13155 6413 13155 6408 13155 6406 13156 6415 13156 6407 13156 6416 13157 6407 13157 6415 13157 6416 13158 6409 13158 6407 13158 6417 13159 6415 13159 6406 13159 6417 13160 6416 13160 6415 13160 6418 13161 6419 13161 6406 13161 6420 13162 6406 13162 6419 13162 6410 13163 6418 13163 6406 13163 6420 13164 6417 13164 6406 13164 6412 13165 6421 13165 6419 13165 6422 13166 6419 13166 6421 13166 6423 13167 6412 13167 6419 13167 6424 13168 6423 13168 6419 13168 6418 13169 6424 13169 6419 13169 6420 13170 6419 13170 6422 13170 6412 13171 6425 13171 6421 13171 6426 13172 6421 13172 6425 13172 6426 13173 6422 13173 6421 13173 6427 13174 6425 13174 6412 13174 6427 13175 6426 13175 6425 13175 6423 13176 6411 13176 6412 13176 6413 13177 6427 13177 6412 13177 6428 13178 6414 13178 6411 13178 6429 13179 6410 13179 6414 13179 6428 13180 6429 13180 6414 13180 6430 13181 6411 13181 6423 13181 6428 13182 6411 13182 6430 13182 6431 13183 6423 13183 6424 13183 6430 13184 6423 13184 6431 13184 6432 13185 6424 13185 6418 13185 6431 13186 6424 13186 6432 13186 6433 13187 6418 13187 6410 13187 6432 13188 6418 13188 6433 13188 6433 13189 6410 13189 6429 13189 6434 13190 6422 13190 6426 13190 6435 13191 6422 13191 6434 13191 6435 13192 6420 13192 6422 13192 6436 13193 6426 13193 6427 13193 6436 13194 6434 13194 6426 13194 6437 13195 6427 13195 6413 13195 6437 13196 6436 13196 6427 13196 6438 13197 6413 13197 6409 13197 6438 13198 6437 13198 6413 13198 6439 13199 6438 13199 6409 13199 6416 13200 6439 13200 6409 13200 6440 13201 6434 13201 6436 13201 6441 13202 6434 13202 6440 13202 6435 13203 6434 13203 6441 13203 6440 13204 6436 13204 6437 13204 6442 13205 6437 13205 6438 13205 6442 13206 6440 13206 6437 13206 6442 13207 6438 13207 6439 13207 6443 13208 6442 13208 6439 13208 6444 13209 6443 13209 6439 13209 6444 13210 6439 13210 6416 13210 6445 13211 6440 13211 6442 13211 6445 13212 6446 13212 6440 13212 6441 13213 6440 13213 6446 13213 6447 13214 6442 13214 6443 13214 6447 13215 6445 13215 6442 13215 6447 13216 6443 13216 6448 13216 6441 13217 6448 13217 6443 13217 6449 13218 6441 13218 6443 13218 6449 13219 6443 13219 6444 13219 6441 13220 6446 13220 6448 13220 6450 13221 6448 13221 6446 13221 6451 13222 6447 13222 6448 13222 6450 13223 6451 13223 6448 13223 6452 13224 6446 13224 6445 13224 6452 13225 6450 13225 6446 13225 6453 13226 6445 13226 6447 13226 6452 13227 6445 13227 6453 13227 6451 13228 6453 13228 6447 13228 6435 13229 6441 13229 6449 13229 6450 13230 6453 13230 6451 13230 6452 13231 6453 13231 6450 13231 6444 13232 6416 13232 6417 13232 6449 13233 6417 13233 6420 13233 6449 13234 6444 13234 6417 13234 6435 13235 6449 13235 6420 13235 6432 13236 6433 13236 6429 13236 6428 13237 6432 13237 6429 13237 6428 13238 6431 13238 6432 13238 6428 13239 6430 13239 6431 13239</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="humerus_r" name="humerus_r" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#humerus_r-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyA/meshes/shoulder_aa.dae b/ct_models/urdf/HyA/meshes/shoulder_aa.dae
new file mode 100644
index 0000000..2f804d1
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/shoulder_aa.dae
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T09:48:12</created>
+ <modified>2015-04-23T09:48:12</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="shoulder_aa-mesh" name="shoulder_aa">
+ <mesh>
+ <source id="shoulder_aa-mesh-positions">
+ <float_array id="shoulder_aa-mesh-positions-array" count="27750">-0.03599995 0.003499925 -0.02249991 -0.03599995 0.003499925 -0.02129989 -0.03599995 0.002199888 -0.01999998 -0.04899996 0.002199888 -0.01999998 -0.03599995 9.99987e-4 -0.01999998 -0.03599995 0.003499925 -0.0187 -0.04899996 0.003499925 -0.0187 -0.03599995 0.005999982 -0.01999998 -0.03599995 0.004799962 -0.01999998 -0.04899996 0.003499925 -0.02129989 -0.03599995 0.003499925 -0.01749998 -0.04899996 0.004799962 -0.01999998 -0.04899996 9.99987e-4 -0.01999998 -0.04899996 0.003499925 -0.02249991 -0.04899996 0.003499925 -0.01749998 -0.04899996 0.005999982 -0.01999998 -0.03599995 0.003499925 0.01749998 -0.03599995 0.003499925 0.0187 -0.03599995 0.002199888 0.01999998 -0.04899996 0.002199888 0.01999998 -0.03599995 9.99987e-4 0.01999998 -0.03599995 0.003499925 0.02129989 -0.04899996 0.003499925 0.02129989 -0.03599995 0.005999982 0.01999998 -0.03599995 0.004799962 0.01999998 -0.04899996 0.003499925 0.0187 -0.03599995 0.003499925 0.02249991 -0.04899996 0.004799962 0.01999998 -0.04899996 9.99987e-4 0.01999998 -0.04899996 0.003499925 0.01749998 -0.04899996 0.003499925 0.02249991 -0.04899996 0.005999982 0.01999998 -0.03599995 -0.01949989 -0.02249991 -0.03599995 -0.01949989 -0.02129989 -0.03599995 -0.02079999 -0.01999998 -0.04899996 -0.02079999 -0.01999998 -0.03599995 -0.02199995 -0.01999998 -0.03599995 -0.01949989 -0.0187 -0.04899996 -0.01949989 -0.0187 -0.03599995 -0.0169999 -0.01999998 -0.03599995 -0.01819998 -0.01999998 -0.04899996 -0.01949989 -0.02129989 -0.03599995 -0.01949989 -0.01749998 -0.04899996 -0.01819998 -0.01999998 -0.04899996 -0.02199995 -0.01999998 -0.04899996 -0.01949989 -0.02249991 -0.04899996 -0.01949989 -0.01749998 -0.04899996 -0.0169999 -0.01999998 -0.03599995 -0.01949989 0.01749998 -0.03599995 -0.01949989 0.0187 -0.03599995 -0.02079999 0.01999998 -0.04899996 -0.02079999 0.01999998 -0.03599995 -0.02199995 0.01999998 -0.03599995 -0.01949989 0.02129989 -0.04899996 -0.01949989 0.02129989 -0.03599995 -0.0169999 0.01999998 -0.03599995 -0.01819998 0.01999998 -0.04899996 -0.01949989 0.0187 -0.03599995 -0.01949989 0.02249991 -0.04899996 -0.01819998 0.01999998 -0.04899996 -0.02199995 0.01999998 -0.04899996 -0.01949989 0.01749998 -0.04899996 -0.01949989 0.02249991 -0.04899996 -0.0169999 0.01999998 -0.02581667 -0.108 0.001429498 -0.02298825 -0.108 0.001429498 -0.02298825 -0.108 -0.001398742 -0.0226348 -0.1085 -0.001752316 -0.02581667 -0.108 -0.001398742 -0.02617031 -0.1085 -0.001752316 -0.0226348 -0.1085 0.001783013 -0.02617031 -0.1085 0.001783013 -0.02298825 -0.132 -0.001398742 -0.02298825 -0.132 0.001429498 -0.02581667 -0.132 0.001429498 -0.02617031 -0.1315 0.001783013 -0.02581667 -0.132 -0.001398742 -0.02617031 -0.1315 -0.001752316 -0.0226348 -0.1315 0.001783013 -0.0226348 -0.1315 -0.001752316 0.002011597 -0.108 0.02642953 0.002011597 -0.108 0.02360111 -8.16788e-4 -0.108 0.02360111 -0.001170337 -0.1085 0.02324753 -8.16788e-4 -0.108 0.02642953 -0.001170337 -0.1085 0.02678304 0.002365112 -0.1085 0.02324753 0.002365112 -0.1085 0.02678304 -8.16788e-4 -0.132 0.02360111 0.002011597 -0.132 0.02360111 0.002011597 -0.132 0.02642953 0.002365112 -0.1315 0.02678304 -8.16788e-4 -0.132 0.02642953 -0.001170337 -0.1315 0.02678304 0.002365112 -0.1315 0.02324753 -0.001170337 -0.1315 0.02324753 0.02701163 -0.108 -0.001398742 0.02418321 -0.108 -0.001398742 0.02418321 -0.108 0.001429498 0.02382957 -0.1085 0.001783013 0.02701163 -0.108 0.001429498 0.02736508 -0.1085 0.001783013 0.02382957 -0.1085 -0.001752316 0.02736508 -0.1085 -0.001752316 0.02418321 -0.132 0.001429498 0.02418321 -0.132 -0.001398742 0.02701163 -0.132 -0.001398742 0.02736508 -0.1315 -0.001752316 0.02701163 -0.132 0.001429498 0.02736508 -0.1315 0.001783013 0.02382957 -0.1315 -0.001752316 0.02382957 -0.1315 0.001783013 -8.16788e-4 -0.108 -0.02639877 -8.16788e-4 -0.108 -0.02357035 0.002011597 -0.108 -0.02357035 0.002365112 -0.1085 -0.02321684 0.002011597 -0.108 -0.02639877 0.002365112 -0.1085 -0.02675235 -0.001170337 -0.1085 -0.02321684 -0.001170337 -0.1085 -0.02675235 0.002011597 -0.132 -0.02357035 -8.16788e-4 -0.132 -0.02357035 -8.16788e-4 -0.132 -0.02639877 -0.001170337 -0.1315 -0.02675235 0.002011597 -0.132 -0.02639877 0.002365112 -0.1315 -0.02675235 -0.001170337 -0.1315 -0.02321684 0.002365112 -0.1315 -0.02321684 0.01611 -0.114 -0.01891225 0.01473951 -0.114 0.01415747 0.01473951 -0.114 -0.01412671 0.01473951 -0.106 0.01415747 0.01073849 -0.114 -0.02181744 0.005774617 -0.114 -0.01930266 0.005774617 -0.106 -0.01930266 0.01303344 -0.114 -0.02314233 0.01684826 -0.114 -0.02812957 0.01473951 -0.106 -0.01412671 0.008443534 -0.114 0.02317315 0.005772054 -0.114 0.01933407 0.01303344 -0.114 0.02317315 0.01073849 -0.114 0.02184814 0.01303344 -0.114 0.02582317 0.01611 -0.114 0.01644301 0.01611 -0.114 -0.01641219 -0.001567602 -0.114 0.02376532 -0.004577279 -0.114 0.01933407 0.005772054 -0.106 0.01933407 5.97426e-4 -0.114 0.03251528 5.97426e-4 -0.114 0.02251529 0.002762377 -0.114 0.02376532 0.002762377 -0.114 0.02626532 -0.009543657 -0.114 0.02184814 -0.01354461 -0.114 0.01415747 -0.004577279 -0.106 0.01933407 -0.007248699 -0.114 0.02317315 -0.007248699 -0.114 0.02582317 -0.0149151 -0.114 0.01894301 -0.01354461 -0.114 -0.01412671 -0.01354461 -0.106 -0.01412671 -0.01183861 -0.114 0.02317315 -0.01565343 -0.114 0.02816039 -0.01354461 -0.106 0.01415747 -0.007248699 -0.114 -0.02314233 -0.004579782 -0.114 -0.01930266 -0.01183861 -0.114 -0.02314233 -0.009543657 -0.114 -0.02181744 -0.01183861 -0.114 -0.02579236 -0.0149151 -0.114 -0.01641219 -0.0149151 -0.114 0.01644301 0.002762377 -0.114 -0.02373456 -0.004579782 -0.106 -0.01930266 5.97426e-4 -0.114 -0.03248459 -0.001567602 -0.114 -0.02373456 5.97426e-4 -0.114 -0.0224846 -0.001567602 -0.114 -0.02623456 0.008443534 -0.114 -0.02314233 0.008443534 -0.114 -0.02579236 0.01073849 -0.106 0.02184814 0.008443534 -0.106 0.02317315 0.01303344 -0.106 0.02317315 0.01684826 -0.114 0.02816039 0.01073849 -0.114 0.02714806 0.01303344 -0.106 0.02582317 0.01611 -0.114 0.01894301 0.008443534 -0.114 0.02582317 0.01073849 -0.106 0.02714806 0.008443534 -0.106 0.02582317 -0.009543657 -0.106 -0.02181744 -0.007248699 -0.106 -0.02314233 -0.01183861 -0.106 -0.02314233 -0.01565343 -0.114 -0.02812957 -0.009543657 -0.114 -0.02711743 -0.01183861 -0.106 -0.02579236 -0.0149151 -0.114 -0.01891225 -0.007248699 -0.114 -0.02579236 -0.009543657 -0.106 -0.02711743 -0.007248699 -0.106 -0.02579236 -0.009543657 -0.111 0.02184814 -0.01183873 -0.111 0.02317392 -0.00724858 -0.111 0.02317392 -0.009543657 -0.114 0.02714806 -0.00724858 -0.111 0.02582234 -0.01183861 -0.114 0.02582317 -0.009543657 -0.111 0.02714806 -0.001567602 -0.114 0.02626532 -0.01183873 -0.111 0.02582234 0.01073849 -0.111 -0.02181744 0.0130335 -0.111 -0.02314323 0.008443415 -0.111 -0.02314323 0.01073849 -0.114 -0.02711743 0.008443415 -0.111 -0.02579158 0.01303344 -0.114 -0.02579236 0.01073849 -0.111 -0.02711743 0.002762377 -0.114 -0.02623456 0.0130335 -0.111 -0.02579158 -0.02754753 -0.114 0.01626616 -0.02656757 -0.114 0.001265347 -0.02440249 -0.114 0.002515316 -0.02440249 -0.107 0.002515316 -0.02223742 -0.114 0.001265347 -0.02223736 -0.107 0.001264572 -0.02656757 -0.114 -0.001234591 -0.02656763 -0.107 0.001264572 -0.0192452 -0.114 -0.01891225 -0.02440249 -0.114 -0.00248456 -0.02656763 -0.107 -0.001233816 -0.02754753 -0.114 -0.01623553 -0.02223742 -0.114 -0.001234591 -0.02440249 -0.107 -0.00248456 -0.02223736 -0.107 -0.001233816 -0.0192452 -0.114 -0.01641219 -0.0192452 -0.114 0.01644301 -0.01708018 -0.114 -0.01516222 -0.01708018 -0.107 -0.01516222 -0.01708018 -0.114 0.01519292 -0.01491498 -0.107 -0.01641309 -0.01924538 -0.107 -0.01641309 -0.01708018 -0.114 -0.02016228 -0.01924538 -0.107 -0.01891148 -0.01708018 -0.107 -0.02016228 -0.01491498 -0.107 -0.01891148 5.97426e-4 -0.107 -0.0224846 0.002762556 -0.107 -0.0237354 -0.001567721 -0.107 -0.0237354 5.97426e-4 -0.114 -0.02748459 -0.001567721 -0.107 -0.02623385 5.97426e-4 -0.107 -0.02748459 0.002762556 -0.107 -0.02623385 0.01827508 -0.114 -0.01516222 0.01827508 -0.107 -0.01516222 0.01827508 -0.114 0.01519292 0.02044016 -0.114 -0.01641219 0.02044022 -0.107 -0.01641309 0.01610988 -0.107 -0.01641309 0.01827508 -0.114 -0.02016228 0.01610988 -0.107 -0.01891148 0.02874243 -0.114 -0.01623553 0.02044016 -0.114 -0.01891225 0.01827508 -0.107 -0.02016228 0.02044022 -0.107 -0.01891148 0.02044016 -0.114 0.01644301 0.02343231 -0.114 -0.001234591 0.02044016 -0.114 0.01894301 0.02343231 -0.114 0.001265347 0.02559739 -0.114 0.002515316 0.02559739 -0.107 0.002515316 0.02776247 -0.114 0.001265347 0.02776259 -0.107 0.001264572 0.02343225 -0.107 0.001264572 0.02559739 -0.114 -0.00248456 0.02343225 -0.107 -0.001233816 0.02776247 -0.114 -0.001234591 0.02559739 -0.107 -0.00248456 0.02776259 -0.107 -0.001233816 0.02874243 -0.114 0.01626616 0.01827508 -0.114 0.02019298 0.01827508 -0.107 0.02019298 0.02044022 -0.107 0.01894217 0.01610988 -0.107 0.01894217 0.01610988 -0.107 0.01644372 0.01827508 -0.107 0.01519292 0.02044022 -0.107 0.01644372 5.97426e-4 -0.114 0.02751535 5.97426e-4 -0.107 0.02751535 0.002762556 -0.107 0.02626448 -0.001567721 -0.107 0.02626448 -0.001567721 -0.107 0.0237661 5.97426e-4 -0.107 0.02251529 0.002762556 -0.107 0.0237661 -0.0192452 -0.114 0.01894301 -0.01708018 -0.114 0.02019298 -0.01708018 -0.107 0.02019298 -0.01491498 -0.107 0.01894217 -0.01924538 -0.107 0.01894217 -0.01924538 -0.107 0.01644372 -0.01708018 -0.107 0.01519292 -0.01491498 -0.107 0.01644372 5.97426e-4 -0.112 -0.03248459 0.01684719 -0.112 -0.02813011 -0.01565229 -0.112 -0.02813011 -0.03190255 -0.114 1.53623e-5 -0.02754837 -0.112 -0.01623463 -0.03190219 -0.112 1.53623e-5 -0.02754837 -0.112 0.01626533 -0.01565229 -0.112 0.02816081 5.97426e-4 -0.112 0.03251528 0.01684719 -0.112 0.02816081 0.03309732 -0.114 1.53623e-5 0.02874314 -0.112 0.01626533 0.03309696 -0.112 1.53623e-5 0.02874314 -0.112 -0.01623463 0.02057313 -0.106 0.01999104 0.02057313 -0.08199995 0.01999104 0.01473951 -0.08199995 0.01415747 -0.00521332 -0.106 0.02199888 0.03113019 -0.106 0.02001529 0.03113019 -0.08199995 0.02001529 -0.009543657 -0.106 0.0194981 0.01794868 -0.106 0.03212714 0.03117382 -0.112 0.01994848 -0.01675391 -0.106 0.03212714 5.97426e-4 -0.106 0.03651499 0.01778435 -0.112 0.03221517 1.42486e-4 -0.112 0.03651237 -0.01387393 -0.106 0.02199888 -0.0299353 -0.106 0.02001529 -0.01739084 -0.112 0.03177469 -0.009543657 -0.106 0.0294981 -0.01387393 -0.106 0.02699738 -0.0193783 -0.106 0.01999104 -0.0193783 -0.08199995 0.01999104 -0.0299353 -0.08199995 0.02001529 -0.03127765 -0.08199995 0.01779794 -0.03046768 -0.112 0.01917725 -0.01354461 -0.08199995 0.01415747 -0.01354461 -0.08199995 -0.01412671 -0.00521332 -0.106 0.02699738 -0.009543657 -0.111 0.0194981 -0.005214214 -0.111 0.02199757 -0.0138731 -0.111 0.02199757 -0.0138731 -0.111 0.02699869 -0.009543657 -0.111 0.0294981 -0.005214214 -0.111 0.02699869 0.006408214 -0.106 -0.02196812 -0.0299353 -0.106 -0.0199846 0.006408214 -0.106 -0.02696669 0.01073849 -0.106 -0.0294674 0.02159738 -0.106 -0.03085935 -0.01852709 -0.106 -0.03107297 0.02057313 -0.106 -0.0199604 0.0150687 -0.106 -0.02196812 0.01073849 -0.106 -0.01946741 0.01073849 -0.111 -0.01946741 -0.0193783 -0.106 -0.0199604 0.006409108 -0.111 -0.02196681 0.02717059 -0.106 -0.02500659 0.0150687 -0.106 -0.02696669 0.01506793 -0.111 -0.02196681 0.03113019 -0.106 -0.0199846 0.02240258 -0.106 -0.02925539 0.01506793 -0.111 -0.026968 0.01073849 -0.111 -0.0294674 0.02180999 -0.106 -0.02996206 0.006409108 -0.111 -0.026968 0.00161159 -0.106 -0.04278349 0.02021545 -0.106 -0.03829747 0.003906965 -0.106 -0.04359638 0.003906965 -0.112 -0.04359638 0.002621293 -0.106 -0.04357933 0.002621293 -0.112 -0.04357933 -0.002045392 -0.106 -0.03715217 0.02121526 -0.106 -0.03757083 0.02021545 -0.112 -0.03829747 -0.002671182 -0.106 -0.03654021 0.02159738 -0.106 -0.03639537 0.02121526 -0.112 -0.03757083 0.02159738 -0.112 -0.03085935 -0.003498375 -0.106 -0.03625404 0.02159738 -0.112 -0.03639537 0.02180999 -0.112 -0.02996206 0.02240258 -0.112 -0.02925539 0.02057313 -0.08199995 -0.0199604 0.03246474 -0.08199995 -0.01778125 0.03363555 -0.08199995 -0.01549988 0.03380638 -0.112 -0.0151304 0.03113019 -0.08199995 -0.0199846 0.01473951 -0.08199995 -0.01412671 -0.0193783 -0.08199995 -0.0199604 -0.0299353 -0.08199995 -0.0199846 -0.02046436 -0.112 -0.02979451 -0.03222143 -0.112 -0.01595807 -0.003498375 -0.112 -0.03625404 -0.002671182 -0.112 -0.03654021 -0.002045392 -0.112 -0.03715217 0.00161159 -0.112 -0.04278349 -0.03245443 -0.08199995 0.01550149 -0.02161157 -0.08199995 0.01552706 -0.0327934 -0.08274424 0.01475644 -0.03311723 -0.08349996 0.01399993 0.03247261 -0.08199995 0.01779794 0.034312 -0.08999997 0.01399993 0.0336492 -0.08199995 0.01550149 0.0228064 -0.08199995 0.01552706 0.03398895 -0.08274579 0.01475495 0.02280282 -0.08349996 0.01402711 0.034312 -0.08349996 0.01399993 0.02280282 -0.08999997 0.01402711 0.03699505 -0.112 0.002744436 0.03709727 -0.08999997 -1.22146e-6 0.03172826 -0.08999997 0.0113244 0.0217399 -0.08999997 0.01358908 0.0302993 -0.08999997 0.01214993 0.03429931 -0.08999997 -0.01399993 0.03172826 -0.08999997 -0.002675414 0.0302993 -0.08999997 -0.001849949 0.0302993 -0.08999997 0.001849949 0.03172826 -0.08999997 0.002675414 0.03172826 -0.08999997 0.004324436 0.0302993 -0.08999997 0.008849978 0.03172826 -0.08999997 0.009675502 0.03429931 -0.08349996 -0.01399993 0.02279931 -0.08349996 -0.01399993 0.02173858 -0.08999997 -0.01356065 0.02279931 -0.08999997 -0.01399993 0.0212993 -0.08999997 -0.01249992 0.0302993 -0.08999997 -0.01214993 0.03172826 -0.08999997 -0.0113244 0.03172826 -0.08999997 -0.009675502 0.0302993 -0.08999997 -0.00514996 0.03172826 -0.08999997 -0.004324436 0.03397572 -0.0827459 -0.01475399 0.02279931 -0.08199995 -0.01549988 -0.03311723 -0.08999997 0.01399993 -0.03585708 -0.112 0.001836419 -0.03310441 -0.08999997 -0.01399993 -0.03590238 -0.08999997 -1.22145e-6 -0.03126978 -0.08199995 -0.01778125 -0.03244078 -0.08199995 -0.01549988 -0.03278052 -0.08274519 -0.01475477 -0.02160441 -0.08349996 -0.01399993 -0.02160441 -0.08199995 -0.01549988 -0.03310441 -0.08349996 -0.01399993 -0.02160441 -0.08999997 -0.01399993 -0.03053349 -0.08999997 -0.0113244 -0.02910447 -0.08999997 -0.01214993 -0.03053349 -0.08999997 0.002675414 -0.03053349 -0.08999997 -0.009675502 -0.02910447 -0.08999997 -0.008849978 -0.03053349 -0.08999997 -0.004324436 -0.03053349 -0.08999997 -0.002675414 -0.02910447 -0.08999997 -0.001849949 -0.02910447 -0.08999997 0.001849949 -0.02160799 -0.08349996 0.01402711 -0.03053349 -0.08999997 0.004324436 -0.02910447 -0.08999997 0.00514996 -0.03053349 -0.08999997 0.009675502 -0.03053349 -0.08999997 0.0113244 -0.02910447 -0.08999997 0.01214993 -0.0201044 -0.08999997 0.0125271 -0.02054506 -0.08999997 0.01358908 -0.02160799 -0.08999997 0.01402711 -0.01948565 -0.08199995 0.01465094 -0.01860439 -0.08199995 0.0125271 -0.02054506 -0.08349996 0.01358908 -0.01860439 -0.08199995 -0.01249992 -0.0201044 -0.08349996 0.0125271 -0.01948308 -0.08199995 -0.01462125 -0.0201044 -0.08349996 -0.01249992 -0.02054381 -0.08349996 -0.01356065 -0.02910447 -0.1 -0.01214993 -0.0201044 -0.08999997 -0.01249992 -0.02767539 -0.08999997 -0.0113244 -0.02767544 -0.1 -0.011325 -0.02054381 -0.08999997 -0.01356065 -0.03053343 -0.1 -0.011325 -0.03053343 -0.1 -0.009674966 -0.02767539 -0.08999997 -0.009675502 -0.02910447 -0.1 -0.008849978 -0.02910447 -0.08999997 -0.00514996 -0.02767544 -0.1 -0.009674966 -0.02910447 -0.1 -0.00514996 -0.02767539 -0.08999997 -0.004324436 -0.02767544 -0.1 -0.004324972 -0.03053343 -0.1 -0.004324972 -0.03053343 -0.1 -0.002674937 -0.02767539 -0.08999997 -0.002675414 -0.02910447 -0.1 -0.001849949 -0.02767544 -0.1 -0.002674937 -0.02910447 -0.1 0.001849949 -0.02767539 -0.08999997 0.002675414 -0.02767544 -0.1 0.002674937 -0.03053343 -0.1 0.002674937 -0.03053343 -0.1 0.004324972 -0.02910447 -0.08999997 0.008849978 -0.02767539 -0.08999997 0.004324436 -0.02910447 -0.1 0.00514996 -0.02767544 -0.1 0.004324972 -0.02910447 -0.1 0.008849978 -0.02767539 -0.08999997 0.009675502 -0.02767544 -0.1 0.009674966 -0.03053343 -0.1 0.009674966 -0.03053343 -0.1 0.011325 -0.02767539 -0.08999997 0.0113244 -0.02910447 -0.1 0.01214993 -0.02767544 -0.1 0.011325 -0.02910447 -0.1009914 -0.01049995 -0.02910447 -0.1009914 -0.003499925 -0.02910447 -0.1009914 0.003499925 -0.02910447 -0.1009914 0.01049995 0.02067804 -0.08199995 -0.01462125 0.01979935 -0.08199995 -0.01249992 0.02173858 -0.08349996 -0.01356065 0.01979935 -0.08199995 0.0125271 0.0212993 -0.08349996 -0.01249992 0.02068042 -0.08199995 0.01465094 0.0212993 -0.08349996 0.0125271 0.0217399 -0.08349996 0.01358908 0.0212993 -0.08999997 0.0125271 0.02887034 -0.08999997 -0.0113244 0.02887034 -0.08999997 -0.009675502 0.0302993 -0.08999997 -0.008849978 0.02887034 -0.08999997 -0.004324436 0.02887034 -0.08999997 -0.002675414 0.02887034 -0.08999997 0.002675414 0.02887034 -0.08999997 0.004324436 0.0302993 -0.08999997 0.00514996 0.02887034 -0.08999997 0.009675502 0.02887034 -0.08999997 0.0113244 0.0302993 -0.1 -0.01214993 0.0317282 -0.1 -0.011325 0.0288704 -0.1 -0.011325 0.0288704 -0.1 -0.009674966 0.0302993 -0.1 -0.008849978 0.0317282 -0.1 -0.009674966 0.0302993 -0.1 -0.00514996 0.0317282 -0.1 -0.004324972 0.0288704 -0.1 -0.004324972 0.0288704 -0.1 -0.002674937 0.0302993 -0.1 -0.001849949 0.0317282 -0.1 -0.002674937 0.0302993 -0.1 0.001849949 0.0317282 -0.1 0.002674937 0.0288704 -0.1 0.002674937 0.0288704 -0.1 0.004324972 0.0302993 -0.1 0.00514996 0.0317282 -0.1 0.004324972 0.0302993 -0.1 0.008849978 0.0317282 -0.1 0.009674966 0.0288704 -0.1 0.009674966 0.0288704 -0.1 0.011325 0.0302993 -0.1 0.01214993 0.0317282 -0.1 0.011325 0.0302993 -0.1009914 -0.01049995 0.0302993 -0.1009914 -0.003499925 0.0302993 -0.1009914 0.003499925 0.0302993 -0.1009914 0.01049995 -0.06319999 0.004758 0.01991426 -0.06319999 0.001241803 0.01991426 -0.06319999 0.002999961 0.02092999 -0.06119996 0.002999961 0.02092999 -0.06119996 0.004758 0.01991498 -0.06319999 0.002293467 0.01819247 -0.06319999 0.001241803 0.01788562 -0.06119996 0.001241922 0.01991498 -0.06319999 0.002999961 0.01989996 -0.06319999 0.002000272 0.01889991 -0.06319999 0.002293467 0.01960742 -0.06319999 0.004758 0.01788562 -0.06319999 0.002999961 0.01686996 -0.06119996 0.001241922 0.01788491 -0.06319999 0.002999961 0.01789999 -0.06119996 0.002999961 0.01686996 -0.06319999 0.003706455 0.01960742 -0.06119996 0.004758 0.01788491 -0.06319999 0.003706455 0.01819247 -0.06319999 0.00399965 0.01889991 -0.05319988 0.002999961 0.01789999 -0.05319988 0.003706455 0.01819247 -0.05319988 0.002293467 0.01819247 -0.05319988 0.002000272 0.01889991 -0.05319988 0.002293467 0.01960742 -0.05319988 0.002999961 0.01989996 -0.05319988 0.003706455 0.01960742 -0.05319988 0.00399965 0.01889991 -0.06319999 -0.03799992 0.05289989 -0.06319999 0.008793473 0.03819251 -0.06319999 0.009499967 0.03789997 -0.05319988 0.009499967 0.03789997 -0.06319999 0.01199996 0.03389996 -0.06319999 0.01020646 0.03819251 -0.05319988 0.01020646 0.03819251 -0.06319999 0.008500337 0.03889989 -0.05319988 0.008793473 0.03819251 -0.06319999 0.008793473 0.03960734 -0.05319988 0.008500337 0.03889989 -0.06319999 0.009499967 0.0399 -0.05319988 0.008793473 0.03960734 -0.06319999 0.002999961 0.05289989 -0.06319999 0.01020646 0.03960734 -0.05319988 0.009499967 0.0399 -0.06319999 0.01199996 0.05589991 -0.06319999 0.01049959 0.03889989 -0.05319988 0.01020646 0.03960734 -0.06319999 0.003706455 0.05319249 -0.06319999 0.00399965 0.0539 -0.06319999 0.003706455 0.05460739 -0.05319988 0.01049959 0.03889989 -0.06319999 -0.03749996 -0.03359997 -0.06319999 -0.04349988 -0.03359997 -0.06319999 -0.04349988 -0.02859991 -0.05919992 -0.04349988 -0.02859991 -0.06319999 -0.03820639 -0.03180742 -0.06319999 -0.03749996 -0.02859991 -0.06319999 -0.03533488 -0.02985 -0.06319999 -0.03749996 -0.03009992 -0.05919992 -0.03749996 -0.02859991 -0.06319999 -0.03849965 -0.03109997 -0.06319999 -0.03820639 -0.03039246 -0.05919992 -0.04349988 -0.03359997 -0.06319999 -0.03749996 -0.03209996 -0.06319999 -0.03533488 -0.03235 -0.05919992 -0.03749996 -0.03359997 -0.06319999 -0.03679347 -0.03039246 -0.05919992 -0.03533482 -0.0323491 -0.06319999 -0.03679347 -0.03180742 -0.06319999 -0.03650033 -0.03109997 -0.05919992 -0.03533482 -0.02985078 -0.05319988 -0.03749996 -0.03209996 -0.05319988 -0.03679347 -0.03180742 -0.05319988 -0.03820639 -0.03180742 -0.05319988 -0.03849965 -0.03109997 -0.05319988 -0.03820639 -0.03039246 -0.05319988 -0.03749996 -0.03009992 -0.05319988 -0.03679347 -0.03039246 -0.05319988 -0.03650033 -0.03109997 -0.06319999 0.01199996 -0.04459995 -0.06319999 0.006999969 -0.04459995 -0.06319999 0.006999969 -0.04209995 -0.05919992 0.006999969 -0.04459995 -0.06319999 0.009499967 -0.04309993 -0.06319999 0.008500337 -0.04209995 -0.06319999 0.007732212 -0.04033213 -0.05919992 0.00773257 -0.04033261 -0.06319999 0.008793473 -0.0428074 -0.05919992 0.006999969 -0.04209995 -0.06319999 0.009499967 -0.03959995 -0.06319999 0.01199996 -0.03959995 -0.05919992 0.01199996 -0.04459995 -0.06319999 0.01020646 -0.0413925 -0.06319999 0.01020646 -0.0428074 -0.06319999 0.01049959 -0.04209995 -0.05919992 0.009499967 -0.03959995 -0.05919992 0.01199996 -0.03959995 -0.06319999 0.008793473 -0.0413925 -0.06319999 0.009499967 -0.04109996 -0.05319988 0.009499967 -0.04309993 -0.05319988 0.01020646 -0.0428074 -0.05319988 0.008793473 -0.0428074 -0.05319988 0.008500337 -0.04209995 -0.05319988 0.008793473 -0.0413925 -0.05319988 0.009499967 -0.04109996 -0.05319988 0.01020646 -0.0413925 -0.05319988 0.01049959 -0.04209995 -0.06319999 -0.03349989 0.003899991 -0.06319999 -0.03820639 0.01319253 -0.06319999 -0.03749996 0.01289999 -0.05319988 -0.03749996 0.01289999 -0.06319999 -0.03679347 0.01319253 -0.05319988 -0.03679347 0.01319253 -0.06319999 -0.04349988 0.003899991 -0.06319999 -0.03849965 0.01389998 -0.05319988 -0.03820639 0.01319253 -0.06319999 -0.03899955 0.01889991 -0.06319999 -0.03820639 0.01460736 -0.05319988 -0.03849965 0.01389998 -0.06319999 -0.04349988 0.05589991 -0.06319999 -0.03749996 0.0148999 -0.05319988 -0.03820639 0.01460736 -0.06319999 -0.03799992 0.01789999 -0.06319999 -0.03679347 0.01460736 -0.05319988 -0.03749996 0.0148999 -0.06319999 -0.03870648 0.01819247 -0.06319999 -0.03650033 0.01389998 -0.05319988 -0.03679347 0.01460736 -0.05319988 -0.03650033 0.01389998 -0.06319999 -0.03729349 0.01819247 -0.06319999 -0.03729349 0.05319249 -0.06319999 0.002293467 0.05319249 -0.05319988 0.002999961 0.05289989 -0.05319988 0.003706455 0.05319249 -0.06319999 -0.03700023 0.0539 -0.06319999 0.002000272 0.0539 -0.05319988 0.002293467 0.05319249 -0.06319999 -0.03729349 0.05460739 -0.06319999 0.002293467 0.05460739 -0.05319988 0.002000272 0.0539 -0.06319999 -0.03799992 0.05489999 -0.06319999 0.002999961 0.05489999 -0.05319988 0.002293467 0.05460739 -0.05319988 0.002999961 0.05489999 -0.05319988 0.003706455 0.05460739 -0.05319988 0.00399965 0.0539 -0.06319999 -0.03349989 0.03389996 -0.06319999 -0.03870648 0.05319249 -0.05319988 -0.03799992 0.05289989 -0.05319988 -0.03729349 0.05319249 -0.06319999 -0.03899955 0.0539 -0.05319988 -0.03870648 0.05319249 -0.06319999 -0.03870648 0.05460739 -0.05319988 -0.03899955 0.0539 -0.05319988 -0.03870648 0.05460739 -0.05319988 -0.03799992 0.05489999 -0.05319988 -0.03729349 0.05460739 -0.05319988 -0.03700023 0.0539 -0.05319988 -0.03799992 0.01789999 -0.05319988 -0.03729349 0.01819247 -0.05319988 -0.03870648 0.01819247 -0.06319999 -0.03870648 0.01960742 -0.05319988 -0.03899955 0.01889991 -0.06319999 -0.03799992 0.01989996 -0.05319988 -0.03870648 0.01960742 -0.06319999 -0.03729349 0.01960742 -0.05319988 -0.03799992 0.01989996 -0.06319999 -0.03700023 0.01889991 -0.05319988 -0.03729349 0.01960742 -0.05319988 -0.03700023 0.01889991 -0.05919992 0.01199996 0.03389996 -0.05919992 -0.03349989 0.03389996 -0.05919992 0.01199996 0.05589991 -0.05919992 -0.04349988 0.05589991 -0.05319988 0.0169999 0.05589991 -0.05919992 -0.04349988 0.003899991 -0.05919992 -0.03349989 0.003899991 -0.05919992 -0.0485 0.05589991 -0.05919992 -0.04847532 0.05089998 -0.05919992 -0.04877579 0.05017483 -0.05919992 -0.04568541 0.02152496 -0.05919992 0.0169999 -0.01684999 -0.05919992 -0.0485 -0.01684999 -0.05919992 -0.05131453 0.01827496 -0.05919992 -0.0485 0.01664996 -0.05919992 -0.04568541 0.01827496 -0.05919992 -0.05131453 -0.02172493 -0.05919992 -0.0485 -0.02335 -0.05919992 0.01799988 -0.03857499 -0.05919992 -0.04949992 -0.03857499 -0.05319988 -0.0485 -0.04459995 -0.05919992 -0.0485 -0.04459995 -0.05319988 -0.05203527 -0.04313528 -0.05919992 -0.05203527 -0.04313528 -0.05919992 0.0169999 -0.04459995 -0.05319988 0.0169999 -0.04459995 -0.05319988 0.02053529 -0.04313528 -0.05919992 0.02053529 -0.04313528 -0.05919992 0.01697534 -0.03959995 -0.05919992 -0.04877579 -0.03887486 -0.05919992 0.01727581 -0.0403251 -0.05919992 0.01799988 -0.04062491 -0.05919992 0.01727581 0.05017483 -0.05919992 0.01799988 0.04987496 -0.05919992 0.01981455 0.02152496 -0.05919992 0.0169999 0.0231499 -0.05919992 0.0169999 0.05589991 -0.05919992 0.02053529 0.05443531 -0.05919992 0.01697534 0.05089998 -0.05919992 0.01727581 0.05162513 -0.05919992 0.01799988 0.051925 -0.05319988 0.02053529 0.05443531 -0.05319988 -0.0485 0.05589991 -0.05919992 -0.05203527 0.05443531 -0.05319988 -0.05203527 0.05443531 -0.05919992 -0.04877579 0.05162513 -0.05319988 0.0169999 0.02149999 -0.05319988 -0.0485 0.02149999 -0.05319988 0.02199995 0.05089998 -0.05319988 0.01799988 0.04987496 -0.05319988 0.0169999 0.01829993 -0.05319988 -0.04988503 -0.0192995 -0.05319988 -0.0485 -0.01849997 -0.05319988 0.02199995 -0.03959995 -0.05319988 0.01799988 -0.04062491 -0.05319988 0.0169999 -0.02169996 -0.05319988 -0.05349993 -0.03959995 -0.05319988 -0.04949992 -0.03857499 -0.05319988 -0.0485 -0.02169996 -0.05319988 -0.04949992 0.051925 -0.05319988 0.01799988 0.051925 -0.05319988 -0.04711484 0.01909959 -0.05319988 0.0156148 0.02070039 -0.05319988 -0.04711484 0.02070039 -0.05319988 -0.0485 0.01829993 -0.05319988 0.0156148 0.01909959 -0.05919992 -4.88102e-4 0.01688206 -0.05919992 0.002999961 0.01486992 -0.05978578 0.002999961 0.0162841 -0.05919992 0.0169999 0.01664996 -0.05919992 0.006488025 0.01688206 -0.05978578 0.005265295 0.01759207 -0.05919992 0.01981455 -0.01847499 -0.05919992 -4.88104e-4 0.02091789 -0.05978578 7.34662e-4 0.01759207 -0.05919992 0.002999961 0.02292996 -0.05978578 7.34662e-4 0.02020788 -0.05919992 0.0141853 0.02152496 -0.05919992 0.006488025 0.02091789 -0.05978578 0.002999961 0.02151572 -0.05919992 0.0141853 0.01827496 -0.05978578 0.005265295 0.02020788 -0.05919992 -0.05349993 -0.03959995 -0.05919992 -0.05022412 -0.0403251 -0.05919992 -0.04949992 -0.04062491 -0.05319988 -0.04949992 -0.04062491 -0.05919992 -0.04877579 -0.0403251 -0.05319988 -0.04877579 -0.0403251 -0.05919992 -0.05052465 -0.03959995 -0.05319988 -0.05022412 -0.0403251 -0.05919992 -0.05022412 -0.03887486 -0.05319988 -0.05052465 -0.03959995 -0.05319988 -0.05022412 -0.03887486 -0.05919992 0.01727581 -0.03887486 -0.05919992 -0.04847532 -0.03959995 -0.05319988 -0.04877579 -0.03887486 -0.05319988 -0.04847532 -0.03959995 -0.05919992 -0.05349993 0.05089998 -0.05919992 -0.05022412 0.05017483 -0.05919992 -0.04949992 0.04987496 -0.05319988 -0.04949992 0.04987496 -0.05319988 -0.04877579 0.05017483 -0.05919992 -0.0485 0.0231499 -0.05919992 -0.05052465 0.05089998 -0.05319988 -0.05022412 0.05017483 -0.05919992 -0.05022412 0.05162513 -0.05319988 -0.05052465 0.05089998 -0.05919992 -0.04949992 0.051925 -0.05319988 -0.05022412 0.05162513 -0.05319988 -0.04877579 0.05162513 -0.05319988 -0.04847532 0.05089998 -0.05919992 0.01872414 -0.0403251 -0.05319988 0.01872414 -0.0403251 -0.05319988 0.01727581 -0.0403251 -0.05319988 0.01697534 -0.03959995 -0.05319988 0.01727581 -0.03887486 -0.05919992 0.02199995 -0.03959995 -0.05919992 0.01872414 -0.03887486 -0.05319988 0.01799988 -0.03857499 -0.05919992 0.0169999 -0.02335 -0.05919992 0.01902461 -0.03959995 -0.05319988 0.01872414 -0.03887486 -0.05319988 0.01902461 -0.03959995 -0.05919992 0.01872414 0.05017483 -0.05319988 0.01872414 0.05017483 -0.05319988 0.01727581 0.05017483 -0.05319988 0.01697534 0.05089998 -0.05319988 0.01727581 0.05162513 -0.05919992 0.02199995 0.05089998 -0.05919992 0.01872414 0.05162513 -0.05919992 0.01902461 0.05089998 -0.05319988 0.01872414 0.05162513 -0.05319988 0.01902461 0.05089998 -0.05919992 0.01981455 -0.02172493 -0.05919992 0.01981455 0.01827496 -0.05319988 -0.05349993 0.05089998 -0.05919992 -0.05131453 -0.01847499 -0.05919992 -0.05131453 0.02152496 -0.05919992 -0.04568541 -0.02172493 -0.05919992 0.0141853 -0.02172493 -0.0561999 0.0169999 -0.02335 -0.0561999 0.01981467 -0.02172398 -0.05919992 -0.04568541 -0.01847499 -0.05919992 0.0141853 -0.01847499 -0.0561999 0.01418519 -0.02172398 -0.0561999 0.01418519 -0.01847594 -0.0561999 0.0169999 -0.01684999 -0.0561999 0.01981467 -0.01847594 -0.0561999 0.0169999 0.01664996 -0.0561999 0.01981467 0.01827597 -0.0561999 0.01418519 0.01827597 -0.0561999 0.01418519 0.02152395 -0.0561999 0.0169999 0.0231499 -0.0561999 0.01981467 0.02152395 -0.0561999 -0.0485 -0.02335 -0.0561999 -0.04568529 -0.02172398 -0.0561999 -0.05131471 -0.02172398 -0.0561999 -0.05131471 -0.01847594 -0.0561999 -0.0485 -0.01684999 -0.0561999 -0.04568529 -0.01847594 -0.0561999 -0.0485 0.01664996 -0.0561999 -0.04568529 0.01827597 -0.0561999 -0.05131471 0.01827597 -0.0561999 -0.05131471 0.02152395 -0.0561999 -0.0485 0.0231499 -0.0561999 -0.04568529 0.02152395 -0.05319988 -0.04988503 0.02070039 -0.05319988 0.01838505 -0.0209003 -0.05319988 -0.04988503 -0.0209003 -0.05319988 -0.04988503 0.01909959 -0.05319988 0.01838505 -0.0192995 -0.05319988 0.0169999 -0.01849997 -0.05319988 0.01838505 0.01909959 -0.05319988 0.01838505 0.02070039 -0.0561999 0.0169999 -0.02169996 -0.05319988 0.0156148 -0.0209003 -0.0561999 0.01561433 -0.02089995 -0.0561999 0.01838552 -0.02089995 -0.0561999 0.01838552 -0.01929998 -0.05319988 -0.04711484 -0.0192995 -0.05319988 0.0156148 -0.0192995 -0.0561999 0.0169999 -0.01849997 -0.05319988 -0.04711484 -0.0209003 -0.0561999 0.01561433 -0.01929998 -0.0561999 0.0169999 0.01829993 -0.0561999 0.01561433 0.01909995 -0.0561999 0.01838552 0.01909995 -0.0561999 0.01838552 0.02069991 -0.0561999 0.0169999 0.02149999 -0.0561999 0.01561433 0.02069991 -0.0561999 -0.0485 -0.02169996 -0.0561999 -0.04988563 -0.02089995 -0.0561999 -0.04711431 -0.02089995 -0.0561999 -0.04711431 -0.01929998 -0.0561999 -0.0485 -0.01849997 -0.0561999 -0.04988563 -0.01929998 -0.0561999 -0.0485 0.01829993 -0.0561999 -0.04988563 0.01909995 -0.0561999 -0.04711431 0.01909995 -0.0561999 -0.04711431 0.02069991 -0.0561999 -0.0485 0.02149999 -0.0561999 -0.04988563 0.02069991 0.0121122 0.003088653 0.03099989 0.02949988 0.02549993 0.03099989 0.02549993 0.02949988 0.03099989 0.02949988 0.02549993 -0.03399991 0.006379425 0.0107491 0.03099989 -0.02549993 0.02949988 0.03099989 0.02549993 0.02949988 -0.03399991 0.02549993 -0.02949988 0.03099989 0.02949988 -0.02549993 0.03099989 0.02949988 -0.02549993 -0.03399991 0.01074934 -0.006379604 0.03099989 0.02549993 -0.02949988 -0.03399991 -0.006379425 -0.0107491 0.03099989 -0.02549993 -0.02949988 0.03099989 -0.02549993 -0.02949988 -0.03399991 0.003091037 -0.01211154 0.03099989 -0.0121122 -0.003088653 0.03099989 -0.02949988 -0.02549993 0.03099989 -0.02949988 -0.02549993 -0.03399991 -0.02949988 0.02549993 0.03099989 -0.02949988 0.02549993 -0.03399991 -0.01074934 0.006379604 0.03099989 -0.02549993 0.02949988 -0.03399991 -0.003091037 0.01211154 0.03099989 -0.01074934 0.006379604 0.03399991 -0.003089368 0.0121122 0.03399991 -0.01211196 -0.003090322 0.03399991 -0.006379604 -0.01074939 0.03399991 0.003089368 -0.0121122 0.03399991 0.01074934 -0.006379604 0.03399991 0.01211196 0.003090322 0.03399991 0.006379604 0.01074939 0.03399991 -0.002023458 0.007936716 0.03399991 -0.007043719 0.004180312 0.03399991 0.004180133 0.007043421 0.03399991 0.007043719 -0.004180312 0.03399991 0.00793612 0.002025783 0.03399991 0.002023458 -0.007936716 0.03399991 -0.004180133 -0.007043421 0.03399991 -0.00793612 -0.002025783 0.03399991 -0.007043719 0.004180312 0.04899996 -0.002021372 0.007937014 0.04899996 -0.007935404 -0.00202769 0.04899996 -0.004179954 -0.007043004 0.04899996 0.002021372 -0.007937014 0.04899996 0.007043719 -0.004180312 0.04899996 0.007935404 0.00202769 0.04899996 0.004179954 0.007043004 0.04899996 -0.02949988 0.01199996 -0.02999997 -0.02949988 0.01427078 -0.02160036 -0.02949988 0.0115 -0.02319997 -0.03599995 0.0115 -0.02319997 -0.02949988 0.008729159 -0.02160036 -0.03599995 0.008729159 -0.02160036 -0.02949988 0.01907086 -0.02707082 -0.02949988 0.01427078 -0.01839959 -0.03599995 0.01427078 -0.02160036 -0.02949988 0.008749961 -0.01499992 -0.02949988 0.0115 -0.01679998 -0.03599995 0.01427078 -0.01839959 -0.02949988 0.01582092 -0.01207089 -0.02949988 0.008729159 -0.01839959 -0.03599995 0.0115 -0.01679998 -0.02949988 0.0043841 -0.01911652 -0.03599995 0.008729159 -0.01839959 -0.02949988 -0.01624995 -0.01499992 -0.02949988 0.003499925 -0.01874995 -0.02949988 0.004749715 -0.01999998 -0.02949988 0.01582092 0.01207089 -0.02949988 0.01427131 0.01840043 -0.02949988 0.0115 0.01679998 -0.03599995 0.0115 0.01679998 -0.02949988 0.008749961 0.01499992 -0.02949988 0.008728623 0.01840043 -0.03599995 0.008728623 0.01840043 -0.02949988 0.01427131 0.02159953 -0.03599995 0.01427131 0.01840043 -0.02949988 0.01199996 0.02999997 -0.02949988 0.0115 0.02319997 -0.03599995 0.01427131 0.02159953 -0.02949988 0.01874995 0.004999995 -0.02949988 0.01907086 0.02707082 -0.02949988 -0.02549993 0.02999997 -0.02949988 0.008728623 0.02159953 -0.03599995 0.0115 0.02319997 -0.02949988 0.0043841 0.02088344 -0.03599995 0.008728623 0.02159953 -0.02949988 0.003499925 0.02124989 -0.02949988 0.004749715 0.01999998 -0.02949988 -0.008728623 -0.02159953 -0.02949988 -0.0115 -0.02319997 -0.03599995 -0.0115 -0.02319997 -0.02949988 -0.0182501 -0.01999998 -0.02949988 -0.01427131 -0.02159953 -0.03599995 -0.01427131 -0.02159953 -0.02949988 -0.01949989 -0.02124989 -0.02949988 -0.01861584 -0.02088344 -0.02949988 -0.008728623 -0.01840043 -0.03599995 -0.008728623 -0.02159953 -0.02949988 0.002250075 -0.01999998 -0.02949988 -0.0115 -0.01679998 -0.03599995 -0.008728623 -0.01840043 -0.02949988 0.002615869 -0.02088344 -0.02949988 -0.01427131 -0.01840043 -0.03599995 -0.0115 -0.01679998 -0.03599995 -0.01427131 -0.01840043 -0.02949988 -0.008728623 0.01840043 -0.02949988 -0.0115 0.01679998 -0.03599995 -0.0115 0.01679998 -0.02949988 -0.01624995 0.01499992 -0.02949988 -0.01427131 0.01840043 -0.03599995 -0.01427131 0.01840043 -0.02949988 -0.008728623 0.02159953 -0.03599995 -0.008728623 0.01840043 -0.02949988 0.002250075 0.01999998 -0.02949988 -0.0115 0.02319997 -0.03599995 -0.008728623 0.02159953 -0.02949988 0.002615869 0.01911652 -0.02949988 -0.01427131 0.02159953 -0.03599995 -0.0115 0.02319997 -0.03599995 -0.01427131 0.02159953 -0.02949988 -0.0182501 0.01999998 -0.02949988 -0.01861584 0.02088344 -0.02949988 -0.03349989 -0.01799988 -0.02949988 -0.03563803 -0.01307499 -0.02949988 -0.03749996 -0.01414996 -0.032 -0.03749996 -0.01414996 -0.02949988 -0.03936195 -0.01307499 -0.032 -0.03936201 -0.01307421 -0.02949988 -0.03563803 -0.01092499 -0.032 -0.03563791 -0.01307421 -0.02949988 -0.03749996 -0.002149999 -0.02949988 -0.03749996 -0.009849965 -0.032 -0.03563791 -0.01092565 -0.02949988 -0.03563803 -0.00107491 -0.02949988 -0.03936195 -0.00107491 -0.02949988 -0.03936195 -0.01092499 -0.032 -0.03749996 -0.009849965 -0.02949988 -0.04349988 0.01799988 -0.032 -0.03936201 -0.01092565 -0.02949988 -0.04349988 -0.01799988 -0.032 -0.03749996 -0.002149999 -0.032 -0.03936201 -0.001074314 -0.02949988 -0.03563803 0.00107491 -0.032 -0.03563791 -0.001074314 -0.02949988 -0.03749996 0.009849965 -0.02949988 -0.03749996 0.002149999 -0.032 -0.03563791 0.001074314 -0.02949988 -0.03563803 0.01092499 -0.02949988 -0.03936195 0.01092499 -0.02949988 -0.03936195 0.00107491 -0.032 -0.03749996 0.002149999 -0.032 -0.03936201 0.001074314 -0.032 -0.03749996 0.009849965 -0.032 -0.03936201 0.01092565 -0.02949988 -0.03563803 0.01307499 -0.032 -0.03563791 0.01092565 -0.02949988 -0.03749996 0.01414996 -0.032 -0.03563791 0.01307421 -0.02949988 -0.03349989 0.01799988 -0.02949988 -0.03936195 0.01307499 -0.032 -0.03749996 0.01414996 -0.032 -0.03936201 0.01307421 -0.02949988 0.01874995 -0.004999995 -0.0349999 0.01874995 -0.004999995 -0.0349999 0.01582092 -0.01207089 -0.0349999 0.01874995 0.004999995 -0.0349999 0.01582092 0.01207089 -0.0349999 0.008749961 0.01499992 -0.02949988 0.0043841 0.01911652 -0.02949988 0.003499925 0.01874995 -0.02949988 -0.02038413 0.01911652 -0.02949988 -0.02332091 0.01207089 -0.0349999 -0.01624995 0.01499992 -0.02949988 -0.01861584 0.01911652 -0.02949988 -0.01949989 0.01874995 -0.02949988 -0.02625 0.004999995 -0.0349999 -0.02332091 0.01207089 -0.02949988 -0.02074974 0.01999998 -0.02949988 -0.02832818 0.02882826 -0.02949988 -0.02625 -0.004999995 -0.0349999 -0.02625 0.004999995 -0.02949988 -0.02549993 -0.02999997 -0.02949988 -0.02332091 -0.01207089 -0.0349999 -0.02625 -0.004999995 -0.02949988 -0.01861584 -0.01911652 -0.0349999 -0.02332091 -0.01207089 -0.02949988 -0.02074974 -0.01999998 -0.02949988 -0.01949989 -0.01874995 -0.02949988 -0.02038413 -0.01911652 -0.0349999 -0.01624995 -0.01499992 -0.02949988 0.002615869 -0.01911652 -0.0349999 0.008749961 -0.01499992 -0.03599995 -0.02549993 0.02999997 -0.03599995 -0.02832818 0.02882826 -0.02949988 0.002615869 0.02088344 -0.02949988 -0.01949989 0.02124989 -0.02949988 -0.02038413 0.02088344 -0.03599995 0.01199996 0.02999997 -0.02949988 0.02199995 -0.01999998 -0.02949988 0.02199995 0.01999998 -0.03599995 0.01907086 0.02707082 -0.03599995 0.02199995 0.01999998 -0.03599995 0.02199995 -0.01999998 -0.03599995 0.01907086 -0.02707082 -0.03599995 0.01199996 -0.02999997 -0.02949988 0.0043841 -0.02088344 -0.02949988 0.003499925 -0.02124989 -0.02949988 -0.02832818 -0.02882826 -0.03599995 -0.02549993 -0.02999997 -0.02949988 -0.02038413 -0.02088344 -0.02949988 -0.02949988 -0.02199995 -0.02949988 -0.02949988 -0.02599996 -0.03599995 -0.02832818 -0.02882826 -0.02949988 -0.02949988 0.02199995 -0.02949988 -0.02949988 0.02599996 -0.03599995 -0.02949988 -0.02599996 -0.02949988 -0.03067171 0.01917171 -0.02949988 -0.03067171 -0.01917171 -0.03599995 -0.02949988 -0.02199995 -0.03599995 -0.03067171 -0.01917171 -0.03599995 -0.03349989 -0.01799988 -0.03599995 -0.04349988 -0.01799988 -0.03599995 -0.04349988 0.01799988 -0.03599995 -0.03349989 0.01799988 -0.03599995 -0.03067171 0.01917171 -0.03599995 -0.02949988 0.02199995 -0.03599995 -0.02949988 0.02599996 -0.03599995 0.003499925 -0.02124989 -0.03599995 0.002615869 -0.02088344 -0.03599995 0.0043841 -0.02088344 -0.03599995 0.004749715 -0.01999998 -0.03599995 0.0043841 -0.01911652 -0.03599995 0.003499925 -0.01874995 -0.03599995 0.002615869 -0.01911652 -0.03599995 0.002250075 -0.01999998 -0.03599995 0.003499925 0.01874995 -0.03599995 0.002615869 0.01911652 -0.03599995 0.0043841 0.01911652 -0.03599995 0.004749715 0.01999998 -0.03599995 0.0043841 0.02088344 -0.03599995 0.003499925 0.02124989 -0.03599995 0.002615869 0.02088344 -0.03599995 0.002250075 0.01999998 -0.03599995 -0.01949989 -0.02124989 -0.03599995 -0.02038413 -0.02088344 -0.03599995 -0.01861584 -0.02088344 -0.03599995 -0.0182501 -0.01999998 -0.03599995 -0.01861584 -0.01911652 -0.03599995 -0.01949989 -0.01874995 -0.03599995 -0.02038413 -0.01911652 -0.03599995 -0.02074974 -0.01999998 -0.03599995 -0.01949989 0.01874995 -0.03599995 -0.02038413 0.01911652 -0.03599995 -0.01861584 0.01911652 -0.03599995 -0.0182501 0.01999998 -0.03599995 -0.01861584 0.02088344 -0.03599995 -0.01949989 0.02124989 -0.03599995 -0.02038413 0.02088344 -0.03599995 -0.02074974 0.01999998 -0.03599995 -0.04107236 -0.0140618 -0.03599995 -0.03749996 -0.01612496 -0.032 -0.03749996 -0.01612496 -0.03599995 -0.0339275 -0.0140618 -0.032 -0.03392821 -0.014063 -0.03599995 -0.04107236 -0.009938061 -0.032 -0.04107177 -0.014063 -0.03599995 -0.03749996 -0.004124999 -0.03599995 -0.03749996 -0.007874965 -0.032 -0.04107177 -0.009936988 -0.03599995 -0.04107236 -0.002061903 -0.03599995 -0.0339275 -0.002061903 -0.03599995 -0.0339275 -0.009938061 -0.032 -0.03749996 -0.007874965 -0.032 -0.03392821 -0.009936988 -0.032 -0.03749996 -0.004124999 -0.032 -0.03392821 -0.002062976 -0.03599995 -0.04107236 0.002061903 -0.032 -0.04107177 -0.002062976 -0.03599995 -0.03749996 0.007874965 -0.03599995 -0.03749996 0.004124999 -0.032 -0.04107177 0.002062976 -0.03599995 -0.04107236 0.009938061 -0.03599995 -0.0339275 0.009938061 -0.03599995 -0.0339275 0.002061903 -0.032 -0.03749996 0.004124999 -0.032 -0.03392821 0.002062976 -0.032 -0.03749996 0.007874965 -0.032 -0.03392821 0.009936988 -0.03599995 -0.04107236 0.0140618 -0.032 -0.04107177 0.009936988 -0.03599995 -0.03749996 0.01612496 -0.032 -0.04107177 0.014063 -0.03599995 -0.0339275 0.0140618 -0.032 -0.03749996 0.01612496 -0.032 -0.03392821 0.014063 0.02949988 0.01199996 0.02999997 0.02949988 0.01427078 0.02160036 0.02949988 0.0115 0.02319997 0.03599995 0.0115 0.02319997 0.02949988 0.008729159 0.02160036 0.03599995 0.008729159 0.02160036 0.02949988 0.01907086 0.02707082 0.02949988 0.01427078 0.01839959 0.03599995 0.01427078 0.02160036 0.02949988 0.008749961 0.01499992 0.02949988 0.0115 0.01679998 0.03599995 0.01427078 0.01839959 0.02949988 0.01582092 0.01207089 0.02949988 0.008729159 0.01839959 0.03599995 0.0115 0.01679998 0.02949988 0.0043841 0.01911652 0.03599995 0.008729159 0.01839959 0.02949988 -0.01624995 0.01499992 0.02949988 0.003499925 0.01874995 0.02949988 0.004749715 0.01999998 0.02949988 0.01582092 -0.01207089 0.02949988 0.01427131 -0.01840043 0.02949988 0.0115 -0.01679998 0.03599995 0.0115 -0.01679998 0.02949988 0.008749961 -0.01499992 0.02949988 0.008728623 -0.01840043 0.03599995 0.008728623 -0.01840043 0.02949988 0.01427131 -0.02159953 0.03599995 0.01427131 -0.01840043 0.02949988 0.01199996 -0.02999997 0.02949988 0.0115 -0.02319997 0.03599995 0.01427131 -0.02159953 0.02949988 0.01874995 -0.004999995 0.02949988 0.01907086 -0.02707082 0.02949988 -0.02549993 -0.02999997 0.02949988 0.008728623 -0.02159953 0.03599995 0.0115 -0.02319997 0.02949988 0.0043841 -0.02088344 0.03599995 0.008728623 -0.02159953 0.02949988 0.003499925 -0.02124989 0.02949988 0.004749715 -0.01999998 0.02949988 -0.008728623 0.02159953 0.02949988 -0.0115 0.02319997 0.03599995 -0.0115 0.02319997 0.02949988 -0.0182501 0.01999998 0.02949988 -0.01427131 0.02159953 0.03599995 -0.01427131 0.02159953 0.02949988 -0.01949989 0.02124989 0.02949988 -0.01861584 0.02088344 0.02949988 -0.008728623 0.01840043 0.03599995 -0.008728623 0.02159953 0.02949988 0.002250075 0.01999998 0.02949988 -0.0115 0.01679998 0.03599995 -0.008728623 0.01840043 0.02949988 0.002615869 0.02088344 0.02949988 -0.01427131 0.01840043 0.03599995 -0.0115 0.01679998 0.03599995 -0.01427131 0.01840043 0.02949988 -0.008728623 -0.01840043 0.02949988 -0.0115 -0.01679998 0.03599995 -0.0115 -0.01679998 0.02949988 -0.01624995 -0.01499992 0.02949988 -0.01427131 -0.01840043 0.03599995 -0.01427131 -0.01840043 0.02949988 -0.008728623 -0.02159953 0.03599995 -0.008728623 -0.01840043 0.02949988 0.002250075 -0.01999998 0.02949988 -0.0115 -0.02319997 0.03599995 -0.008728623 -0.02159953 0.02949988 0.002615869 -0.01911652 0.02949988 -0.01427131 -0.02159953 0.03599995 -0.0115 -0.02319997 0.03599995 -0.01427131 -0.02159953 0.02949988 -0.0182501 -0.01999998 0.02949988 -0.01861584 -0.02088344 0.02949988 -0.03349989 0.01799988 0.02949988 -0.03563803 0.01307499 0.02949988 -0.03749996 0.01414996 0.032 -0.03749996 0.01414996 0.02949988 -0.03936195 0.01307499 0.032 -0.03936201 0.01307421 0.02949988 -0.03563803 0.01092499 0.032 -0.03563791 0.01307421 0.02949988 -0.03749996 0.002149999 0.02949988 -0.03749996 0.009849965 0.032 -0.03563791 0.01092565 0.02949988 -0.03563803 0.00107491 0.02949988 -0.03936195 0.00107491 0.02949988 -0.03936195 0.01092499 0.032 -0.03749996 0.009849965 0.02949988 -0.04349988 -0.01799988 0.032 -0.03936201 0.01092565 0.02949988 -0.04349988 0.01799988 0.032 -0.03749996 0.002149999 0.032 -0.03936201 0.001074314 0.02949988 -0.03563803 -0.00107491 0.032 -0.03563791 0.001074314 0.02949988 -0.03749996 -0.009849965 0.02949988 -0.03749996 -0.002149999 0.032 -0.03563791 -0.001074314 0.02949988 -0.03563803 -0.01092499 0.02949988 -0.03936195 -0.01092499 0.02949988 -0.03936195 -0.00107491 0.032 -0.03749996 -0.002149999 0.032 -0.03936201 -0.001074314 0.032 -0.03749996 -0.009849965 0.032 -0.03936201 -0.01092565 0.02949988 -0.03563803 -0.01307499 0.032 -0.03563791 -0.01092565 0.02949988 -0.03749996 -0.01414996 0.032 -0.03563791 -0.01307421 0.02949988 -0.03349989 -0.01799988 0.02949988 -0.03936195 -0.01307499 0.032 -0.03749996 -0.01414996 0.032 -0.03936201 -0.01307421 0.02949988 0.01874995 0.004999995 0.0349999 0.01874995 0.004999995 0.0349999 0.01582092 0.01207089 0.0349999 0.01874995 -0.004999995 0.0349999 0.01582092 -0.01207089 0.0349999 0.008749961 -0.01499992 0.02949988 0.0043841 -0.01911652 0.02949988 0.003499925 -0.01874995 0.02949988 -0.02038413 -0.01911652 0.02949988 -0.02332091 -0.01207089 0.0349999 -0.01624995 -0.01499992 0.02949988 -0.01861584 -0.01911652 0.02949988 -0.01949989 -0.01874995 0.02949988 -0.02625 -0.004999995 0.0349999 -0.02332091 -0.01207089 0.02949988 -0.02074974 -0.01999998 0.02949988 -0.02832818 -0.02882826 0.02949988 -0.02625 0.004999995 0.0349999 -0.02625 -0.004999995 0.02949988 -0.02549993 0.02999997 0.02949988 -0.02332091 0.01207089 0.0349999 -0.02625 0.004999995 0.02949988 -0.01861584 0.01911652 0.0349999 -0.02332091 0.01207089 0.02949988 -0.02074974 0.01999998 0.02949988 -0.01949989 0.01874995 0.02949988 -0.02038413 0.01911652 0.0349999 -0.01624995 0.01499992 0.02949988 0.002615869 0.01911652 0.0349999 0.008749961 0.01499992 0.03599995 -0.02549993 -0.02999997 0.03599995 -0.02832818 -0.02882826 0.02949988 0.002615869 -0.02088344 0.02949988 -0.01949989 -0.02124989 0.02949988 -0.02038413 -0.02088344 0.03599995 0.01199996 -0.02999997 0.02949988 0.02199995 0.01999998 0.02949988 0.02199995 -0.01999998 0.03599995 0.01907086 -0.02707082 0.03599995 0.02199995 -0.01999998 0.03599995 0.02199995 0.01999998 0.03599995 0.01907086 0.02707082 0.03599995 0.01199996 0.02999997 0.02949988 0.0043841 0.02088344 0.02949988 0.003499925 0.02124989 0.02949988 -0.02832818 0.02882826 0.03599995 -0.02549993 0.02999997 0.02949988 -0.02038413 0.02088344 0.02949988 -0.02949988 0.02199995 0.02949988 -0.02949988 0.02599996 0.03599995 -0.02832818 0.02882826 0.02949988 -0.02949988 -0.02199995 0.02949988 -0.02949988 -0.02599996 0.03599995 -0.02949988 0.02599996 0.02949988 -0.03067171 -0.01917171 0.02949988 -0.03067171 0.01917171 0.03599995 -0.02949988 0.02199995 0.03599995 -0.03067171 0.01917171 0.03599995 -0.03349989 0.01799988 0.03599995 -0.04349988 0.01799988 0.03599995 -0.04349988 -0.01799988 0.03599995 -0.03349989 -0.01799988 0.03599995 -0.03067171 -0.01917171 0.03599995 -0.02949988 -0.02199995 0.03599995 -0.02949988 -0.02599996 0.03599995 0.003499925 0.02124989 0.03599995 0.002615869 0.02088344 0.03599995 0.0043841 0.02088344 0.03599995 0.004749715 0.01999998 0.03599995 0.0043841 0.01911652 0.03599995 0.003499925 0.01874995 0.03599995 0.002615869 0.01911652 0.03599995 0.002250075 0.01999998 0.03599995 0.003499925 -0.01874995 0.03599995 0.002615869 -0.01911652 0.03599995 0.0043841 -0.01911652 0.03599995 0.004749715 -0.01999998 0.03599995 0.0043841 -0.02088344 0.03599995 0.003499925 -0.02124989 0.03599995 0.002615869 -0.02088344 0.03599995 0.002250075 -0.01999998 0.03599995 -0.01949989 0.02124989 0.03599995 -0.02038413 0.02088344 0.03599995 -0.01861584 0.02088344 0.03599995 -0.0182501 0.01999998 0.03599995 -0.01861584 0.01911652 0.03599995 -0.01949989 0.01874995 0.03599995 -0.02038413 0.01911652 0.03599995 -0.02074974 0.01999998 0.03599995 -0.01949989 -0.01874995 0.03599995 -0.02038413 -0.01911652 0.03599995 -0.01861584 -0.01911652 0.03599995 -0.0182501 -0.01999998 0.03599995 -0.01861584 -0.02088344 0.03599995 -0.01949989 -0.02124989 0.03599995 -0.02038413 -0.02088344 0.03599995 -0.02074974 -0.01999998 0.03599995 -0.04107236 0.0140618 0.03599995 -0.03749996 0.01612496 0.032 -0.03749996 0.01612496 0.03599995 -0.0339275 0.0140618 0.032 -0.03392821 0.014063 0.03599995 -0.04107236 0.009938061 0.032 -0.04107177 0.014063 0.03599995 -0.03749996 0.004124999 0.03599995 -0.03749996 0.007874965 0.032 -0.04107177 0.009936988 0.03599995 -0.04107236 0.002061903 0.03599995 -0.0339275 0.002061903 0.03599995 -0.0339275 0.009938061 0.032 -0.03749996 0.007874965 0.032 -0.03392821 0.009936988 0.032 -0.03749996 0.004124999 0.032 -0.03392821 0.002062976 0.03599995 -0.04107236 -0.002061903 0.032 -0.04107177 0.002062976 0.03599995 -0.03749996 -0.007874965 0.03599995 -0.03749996 -0.004124999 0.032 -0.04107177 -0.002062976 0.03599995 -0.04107236 -0.009938061 0.03599995 -0.0339275 -0.009938061 0.03599995 -0.0339275 -0.002061903 0.032 -0.03749996 -0.004124999 0.032 -0.03392821 -0.002062976 0.032 -0.03749996 -0.007874965 0.032 -0.03392821 -0.009936988 0.03599995 -0.04107236 -0.0140618 0.032 -0.04107177 -0.009936988 0.03599995 -0.03749996 -0.01612496 0.032 -0.04107177 -0.014063 0.03599995 -0.0339275 -0.0140618 0.032 -0.03749996 -0.01612496 0.032 -0.03392821 -0.014063 -0.03599995 -0.04499989 0.01799988 -0.03599995 -0.04499989 -0.01799988 -0.0349999 -0.046 0.01799988 -0.0349999 -0.046 -0.01799988 -0.00575 -0.032 0.01399993 -0.00575 -0.046 0.01399993 -0.00575 -0.046 -0.01399993 -0.008600115 -0.046 -0.004999995 -0.00575 -0.032 -0.01399993 -0.00692147 -0.046 -0.01682835 -0.008600115 -0.046 -0.01449996 -0.01024997 -0.046 -0.01284992 -0.01024997 -0.046 -0.01614993 -0.00692147 -0.032 0.01682835 -0.01024997 -0.046 -0.0033499 -0.008600115 -0.046 0.004499912 -0.01024997 -0.046 0.006149947 -0.01024997 -0.046 0.01234996 -0.008600115 -0.046 0.01399993 -0.00692147 -0.046 0.01682835 -0.002749979 -0.032 0.01399993 -0.003921747 -0.032 0.01682853 -0.00692147 -0.032 -0.01682835 -0.002749979 -0.032 -0.01399993 -0.009749948 -0.046 0.01799988 -0.02949988 -0.02949988 0.01799988 -0.02949988 -0.03749996 0.01365 -0.02949988 -0.03914982 -0.01199996 -0.02949988 -0.03914982 0.01199996 -0.02949988 -0.03749996 0.001649916 -0.02949988 -0.03914982 0 -0.02949988 -0.03749996 -0.01034992 -0.006749987 -0.032 0.01799988 -0.006749987 -0.02949988 0.01799988 -0.003921568 -0.02949988 0.01682835 -0.009749948 -0.032 0.01799988 -0.02949988 -0.03585004 0.01199996 -0.02949988 -0.02949988 -0.01799988 -0.02549993 -0.02949988 -0.01099991 -0.01549988 -0.02949988 0.01499992 -0.02149999 -0.02949988 0.01499992 -0.02432841 -0.02949988 0.01382833 -0.02549993 -0.02949988 0.01099991 -0.02399992 -0.046 0.01499992 -0.02682834 -0.046 0.01382833 -0.02799993 -0.046 0.01099991 -0.01517146 -0.046 -0.01382833 -0.01189976 -0.046 -0.01449996 -0.01024997 -0.03599995 -0.01284992 -0.008599996 -0.03599995 -0.01449996 -0.01399993 -0.046 -0.01099991 -0.009083271 -0.03599995 -0.01333326 -0.01799988 -0.046 -0.01499992 -0.01189988 -0.03599995 -0.01449996 -0.01141667 -0.03599995 -0.01333326 -0.01024997 -0.03599995 -0.01614993 -0.01141667 -0.03599995 -0.01566672 -0.009083271 -0.03599995 -0.01566672 -0.01024997 -0.046 0.002849996 -0.01189976 -0.046 -0.004999995 -0.01024997 -0.03599995 -0.0033499 -0.008599996 -0.03599995 -0.004999995 -0.009083271 -0.03599995 -0.003833234 -0.01024997 -0.046 -0.006649971 -0.01189988 -0.03599995 -0.004999995 -0.01141667 -0.03599995 -0.003833234 -0.01024997 -0.03599995 -0.006649971 -0.01141667 -0.03599995 -0.006166696 -0.009083271 -0.03599995 -0.006166696 -0.01399993 -0.046 0.01099991 -0.01189976 -0.046 0.004499912 -0.01024997 -0.03599995 0.006149947 -0.008599996 -0.03599995 0.004499912 -0.009083271 -0.03599995 0.005666673 -0.01189988 -0.03599995 0.004499912 -0.01141667 -0.03599995 0.005666673 -0.01024997 -0.03599995 0.002849996 -0.01141667 -0.03599995 0.00333327 -0.009083271 -0.03599995 0.00333327 -0.01799988 -0.046 0.01499992 -0.01189976 -0.046 0.01399993 -0.01024997 -0.046 0.01564997 -0.01024997 -0.03599995 0.01564997 -0.008599996 -0.03599995 0.01399993 -0.009083271 -0.03599995 0.01516664 -0.01517146 -0.046 0.01382833 -0.01189988 -0.03599995 0.01399993 -0.01141667 -0.03599995 0.01516664 -0.01024997 -0.03599995 0.01234996 -0.01141667 -0.03599995 0.01283317 -0.009083271 -0.03599995 0.01283317 -0.02399992 -0.046 -0.01499992 -0.02399992 -0.04099988 -0.01499992 -0.02682834 -0.046 -0.01382833 -0.02682834 -0.04099988 -0.01382833 -0.01799988 -0.04099988 -0.01499992 -0.01517146 -0.04099988 -0.01382833 -0.01399993 -0.04099988 -0.01099991 -0.01399993 -0.04099988 0.01099991 -0.01517146 -0.04099988 0.01382833 -0.01799988 -0.04099988 0.01499992 -0.02399992 -0.04099988 0.01499992 -0.02682834 -0.04099988 0.01382833 -0.02799993 -0.046 -0.01099991 -0.02799993 -0.04099988 0.01099991 -0.02799993 -0.04099988 -0.01099991 -0.009749948 -0.046 -0.01799988 -0.009749948 -0.032 -0.01799988 -0.006749987 -0.02949988 -0.01799988 -0.006749987 -0.032 -0.01799988 -0.003921747 -0.032 -0.01682853 -0.003921568 -0.02949988 -0.01682835 -0.02149999 -0.02949988 -0.01499992 -0.02949988 -0.03749996 -0.01365 -0.02949988 -0.03749996 0.01034992 -0.02949988 -0.03585004 0 -0.02949988 -0.03749996 -0.001649916 -0.02949988 -0.03585004 -0.01199996 -0.02432841 -0.02949988 -0.01382833 -0.01024997 -0.03500849 -0.01449996 -0.01024997 -0.03500849 -0.004999995 -0.01024997 -0.03500849 0.004499912 -0.01024997 -0.03500849 0.01399993 -0.01949989 -0.03749996 0.01034992 -0.01949989 -0.03584992 0.01199996 -0.01949989 -0.03633326 0.01083326 -0.01949989 -0.03914994 0.01199996 -0.01949989 -0.03866672 0.01083326 -0.01949989 -0.03749996 0.01365 -0.01949989 -0.03866672 0.01316666 -0.01949989 -0.03633326 0.01316666 -0.01949989 -0.03749996 -0.001649916 -0.01949989 -0.03584992 0 -0.01949989 -0.03633326 -0.001166701 -0.01949989 -0.03914994 0 -0.01949989 -0.03866672 -0.001166701 -0.01949989 -0.03749996 0.001649916 -0.01949989 -0.03866672 0.001166701 -0.01949989 -0.03633326 0.001166701 -0.01949989 -0.03749996 -0.01365 -0.01949989 -0.03584992 -0.01199996 -0.01949989 -0.03633326 -0.01316666 -0.01949989 -0.03914994 -0.01199996 -0.01949989 -0.03866672 -0.01316666 -0.01949989 -0.03749996 -0.01034992 -0.01949989 -0.03866672 -0.01083326 -0.01949989 -0.03633326 -0.01083326 -0.01850855 -0.03749996 0.01199996 -0.01850855 -0.03749996 0 -0.01850855 -0.03749996 -0.01199996 -0.02149999 -0.0345 0.01499992 -0.02432841 -0.0345 0.01382833 -0.002749979 -0.02949988 0.01399993 -0.01267153 -0.02949988 0.01382833 -0.01549988 -0.0345 0.01499992 -0.0115 -0.02949988 0.01099991 -0.01267153 -0.0345 0.01382833 -0.002749979 -0.02949988 -0.01399993 -0.0115 -0.02949988 -0.01099991 -0.0115 -0.0345 0.01099991 -0.01267153 -0.02949988 -0.01382833 -0.0115 -0.0345 -0.01099991 -0.01549988 -0.02949988 -0.01499992 -0.01267153 -0.0345 -0.01382833 -0.01549988 -0.0345 -0.01499992 -0.02149999 -0.0345 -0.01499992 -0.02432841 -0.0345 -0.01382833 -0.02549993 -0.0345 -0.01099991 -0.02549993 -0.0345 0.01099991 0.03599995 -0.04499989 -0.01799988 0.03599995 -0.04499989 0.01799988 0.0349999 -0.046 -0.01799988 0.0349999 -0.046 0.01799988 0.00575 -0.032 -0.01399993 0.00575 -0.046 -0.01399993 0.00575 -0.046 0.01399993 0.008600115 -0.046 0.004999995 0.00575 -0.032 0.01399993 0.00692147 -0.046 0.01682835 0.008600115 -0.046 0.01449996 0.01024997 -0.046 0.01284992 0.01024997 -0.046 0.01614993 0.00692147 -0.032 -0.01682835 0.01024997 -0.046 0.0033499 0.008600115 -0.046 -0.004499912 0.01024997 -0.046 -0.006149947 0.01024997 -0.046 -0.01234996 0.008600115 -0.046 -0.01399993 0.00692147 -0.046 -0.01682835 0.002749979 -0.032 -0.01399993 0.003921747 -0.032 -0.01682853 0.00692147 -0.032 0.01682835 0.002749979 -0.032 0.01399993 0.009749948 -0.046 -0.01799988 0.02949988 -0.02949988 -0.01799988 0.02949988 -0.03749996 -0.01365 0.02949988 -0.03914982 0.01199996 0.02949988 -0.03914982 -0.01199996 0.02949988 -0.03749996 -0.001649916 0.02949988 -0.03914982 0 0.02949988 -0.03749996 0.01034992 0.006749987 -0.032 -0.01799988 0.006749987 -0.02949988 -0.01799988 0.003921568 -0.02949988 -0.01682835 0.009749948 -0.032 -0.01799988 0.02949988 -0.03585004 -0.01199996 0.02949988 -0.02949988 0.01799988 0.02549993 -0.02949988 0.01099991 0.01549988 -0.02949988 -0.01499992 0.02149999 -0.02949988 -0.01499992 0.02432841 -0.02949988 -0.01382833 0.02549993 -0.02949988 -0.01099991 0.02399992 -0.046 -0.01499992 0.02682834 -0.046 -0.01382833 0.02799993 -0.046 -0.01099991 0.01517146 -0.046 0.01382833 0.01189976 -0.046 0.01449996 0.01024997 -0.03599995 0.01284992 0.008599996 -0.03599995 0.01449996 0.01399993 -0.046 0.01099991 0.009083271 -0.03599995 0.01333326 0.01799988 -0.046 0.01499992 0.01189988 -0.03599995 0.01449996 0.01141667 -0.03599995 0.01333326 0.01024997 -0.03599995 0.01614993 0.01141667 -0.03599995 0.01566672 0.009083271 -0.03599995 0.01566672 0.01024997 -0.046 -0.002849996 0.01189976 -0.046 0.004999995 0.01024997 -0.03599995 0.0033499 0.008599996 -0.03599995 0.004999995 0.009083271 -0.03599995 0.003833234 0.01024997 -0.046 0.006649971 0.01189988 -0.03599995 0.004999995 0.01141667 -0.03599995 0.003833234 0.01024997 -0.03599995 0.006649971 0.01141667 -0.03599995 0.006166696 0.009083271 -0.03599995 0.006166696 0.01399993 -0.046 -0.01099991 0.01189976 -0.046 -0.004499912 0.01024997 -0.03599995 -0.006149947 0.008599996 -0.03599995 -0.004499912 0.009083271 -0.03599995 -0.005666673 0.01189988 -0.03599995 -0.004499912 0.01141667 -0.03599995 -0.005666673 0.01024997 -0.03599995 -0.002849996 0.01141667 -0.03599995 -0.00333327 0.009083271 -0.03599995 -0.00333327 0.01799988 -0.046 -0.01499992 0.01189976 -0.046 -0.01399993 0.01024997 -0.046 -0.01564997 0.01024997 -0.03599995 -0.01564997 0.008599996 -0.03599995 -0.01399993 0.009083271 -0.03599995 -0.01516664 0.01517146 -0.046 -0.01382833 0.01189988 -0.03599995 -0.01399993 0.01141667 -0.03599995 -0.01516664 0.01024997 -0.03599995 -0.01234996 0.01141667 -0.03599995 -0.01283317 0.009083271 -0.03599995 -0.01283317 0.02399992 -0.046 0.01499992 0.02399992 -0.04099988 0.01499992 0.02682834 -0.046 0.01382833 0.02682834 -0.04099988 0.01382833 0.01799988 -0.04099988 0.01499992 0.01517146 -0.04099988 0.01382833 0.01399993 -0.04099988 0.01099991 0.01399993 -0.04099988 -0.01099991 0.01517146 -0.04099988 -0.01382833 0.01799988 -0.04099988 -0.01499992 0.02399992 -0.04099988 -0.01499992 0.02682834 -0.04099988 -0.01382833 0.02799993 -0.046 0.01099991 0.02799993 -0.04099988 -0.01099991 0.02799993 -0.04099988 0.01099991 0.009749948 -0.046 0.01799988 0.009749948 -0.032 0.01799988 0.006749987 -0.02949988 0.01799988 0.006749987 -0.032 0.01799988 0.003921747 -0.032 0.01682853 0.003921568 -0.02949988 0.01682835 0.02149999 -0.02949988 0.01499992 0.02949988 -0.03749996 0.01365 0.02949988 -0.03749996 -0.01034992 0.02949988 -0.03585004 0 0.02949988 -0.03749996 0.001649916 0.02949988 -0.03585004 0.01199996 0.02432841 -0.02949988 0.01382833 0.01024997 -0.03500849 0.01449996 0.01024997 -0.03500849 0.004999995 0.01024997 -0.03500849 -0.004499912 0.01024997 -0.03500849 -0.01399993 0.01949989 -0.03749996 -0.01034992 0.01949989 -0.03584992 -0.01199996 0.01949989 -0.03633326 -0.01083326 0.01949989 -0.03914994 -0.01199996 0.01949989 -0.03866672 -0.01083326 0.01949989 -0.03749996 -0.01365 0.01949989 -0.03866672 -0.01316666 0.01949989 -0.03633326 -0.01316666 0.01949989 -0.03749996 0.001649916 0.01949989 -0.03584992 0 0.01949989 -0.03633326 0.001166701 0.01949989 -0.03914994 0 0.01949989 -0.03866672 0.001166701 0.01949989 -0.03749996 -0.001649916 0.01949989 -0.03866672 -0.001166701 0.01949989 -0.03633326 -0.001166701 0.01949989 -0.03749996 0.01365 0.01949989 -0.03584992 0.01199996 0.01949989 -0.03633326 0.01316666 0.01949989 -0.03914994 0.01199996 0.01949989 -0.03866672 0.01316666 0.01949989 -0.03749996 0.01034992 0.01949989 -0.03866672 0.01083326 0.01949989 -0.03633326 0.01083326 0.01850855 -0.03749996 -0.01199996 0.01850855 -0.03749996 0 0.01850855 -0.03749996 0.01199996 0.02149999 -0.0345 -0.01499992 0.02432841 -0.0345 -0.01382833 0.002749979 -0.02949988 -0.01399993 0.01267153 -0.02949988 -0.01382833 0.01549988 -0.0345 -0.01499992 0.0115 -0.02949988 -0.01099991 0.01267153 -0.0345 -0.01382833 0.002749979 -0.02949988 0.01399993 0.0115 -0.02949988 0.01099991 0.0115 -0.0345 -0.01099991 0.01267153 -0.02949988 0.01382833 0.0115 -0.0345 0.01099991 0.01549988 -0.02949988 0.01499992 0.01267153 -0.0345 0.01382833 0.01549988 -0.0345 0.01499992 0.02149999 -0.0345 0.01499992 0.02432841 -0.0345 0.01382833 0.02549993 -0.0345 0.01099991 0.02549993 -0.0345 -0.01099991 -0.03079515 -0.114 0.008425772 -0.03079539 -0.117 0.008425712 -0.02238351 -0.117 0.0229963 -0.02061575 -0.117 0.02122855 -0.02238351 -0.114 0.0229963 -0.007812917 -0.117 0.03140819 -0.007166028 -0.117 0.02899312 -0.03079515 -0.114 -0.008395016 -0.03079468 -0.117 -0.008397161 -0.02838039 -0.117 -0.007748067 -0.02838039 -0.117 0.007778823 -0.02238351 -0.114 -0.02296561 -0.02238333 -0.117 -0.02296537 -0.02061575 -0.117 -0.02119779 -0.007812976 -0.114 -0.03137719 -0.007815122 -0.117 -0.03137665 0.009007811 -0.114 -0.03137719 0.009007751 -0.117 -0.03137743 -0.007166028 -0.117 -0.02896243 0.02357834 -0.114 -0.02296561 0.02357834 -0.117 -0.02296561 0.008360862 -0.117 -0.02896243 0.03199005 -0.114 -0.008395016 0.03199023 -0.117 -0.008394956 0.02181059 -0.117 -0.02119779 0.02074986 -0.114 -0.02013713 0.02718019 -0.114 -0.01012563 0.02076953 -0.114 -0.0147522 0.02059561 -0.114 -0.01498699 0.02126759 -0.114 -0.01820528 0.02094078 -0.114 -0.01451551 0.02165949 -0.114 -0.01264739 0.02403014 -0.114 -0.01194435 0.0213834 -0.114 -0.01066488 0.02613013 -0.114 -0.01194435 0.001244366 -0.114 -0.02739942 0.008710086 -0.114 -0.02501094 5.97426e-4 -0.114 -0.01865369 0.002365112 -0.114 -0.02321684 0.01019495 -0.114 -0.02649587 0.01222342 -0.114 -0.02595227 0.0174039 -0.114 -0.01924049 0.00301218 -0.114 -0.02563166 0.01881808 -0.114 -0.02065473 -0.01955509 -0.114 -0.02013713 -0.009543657 -0.114 -0.02656733 -0.007725 -0.114 -0.0255174 -0.001170337 -0.114 -0.02675235 -0.01136231 -0.114 -0.0255174 -0.01762324 -0.114 -0.02065473 -0.02537024 -0.114 -0.01161056 -0.02007269 -0.114 -0.01820528 -0.02598536 -0.114 0.01015645 -0.02375549 -0.114 0.002430081 -0.02591377 -0.114 -0.009582221 -0.0244289 -0.114 -0.00809729 -0.02681738 -0.114 -6.31685e-4 -0.02617031 -0.114 0.001783013 -0.007812976 -0.114 0.03140801 -0.01955509 -0.114 0.02016782 -0.0195747 -0.114 0.01478302 -0.01940077 -0.114 0.01501762 -0.02007269 -0.114 0.01823604 -0.01974588 -0.114 0.01454621 -0.02046459 -0.114 0.01267802 -0.02283537 -0.114 0.01197504 -0.02018857 -0.114 0.01069551 -0.02493536 -0.114 0.01197504 0.03199005 -0.114 0.008425772 0.03198951 -0.117 0.008427858 0.02957516 -0.117 0.007778823 0.02957516 -0.117 -0.007748067 0.02357834 -0.114 0.0229963 0.0235781 -0.117 0.02299606 0.02181059 -0.117 0.02122855 0.009007811 -0.114 0.03140801 0.009009957 -0.117 0.03140747 0.008360862 -0.117 0.02899312 -4.96216e-5 -0.114 0.02743011 -0.007515192 -0.114 0.02504158 5.97426e-4 -0.114 0.01868432 -0.001170337 -0.114 0.02324753 -0.009000122 -0.114 0.02652657 -0.01102852 -0.114 0.02598309 -0.016209 -0.114 0.01927131 -0.001817286 -0.114 0.02566236 -0.01762324 -0.114 0.02068549 0.02074986 -0.114 0.02016782 0.01073849 -0.114 0.02659815 0.008919835 -0.114 0.02554816 0.002365112 -0.114 0.02678304 0.01255708 -0.114 0.02554816 0.01881808 -0.114 0.02068549 0.02656513 -0.114 0.01164138 0.02126759 -0.114 0.01823604 0.02495032 -0.114 -0.002399444 0.0271086 -0.114 0.009612917 0.02562367 -0.114 0.008127987 0.02801221 -0.114 6.6241e-4 0.02736508 -0.114 -0.001752316 0.01536506 -0.133 -0.0201568 0.01512831 -0.114 -0.02032798 0.01512831 -0.133 -0.02032798 0.01326012 -0.114 -0.02104663 0.02181059 -0.133 -0.02119779 0.01326012 -0.133 -0.02104663 0.01536506 -0.114 -0.0201568 0.01276689 -0.114 -0.02392387 0.01559972 -0.133 -0.01998281 0.01559972 -0.114 -0.01998281 0.01639431 -0.133 -0.01852458 0.01639431 -0.114 -0.01852458 0.01881808 -0.133 -0.02065473 0.02076953 -0.133 -0.0147522 0.02094078 -0.133 -0.01451551 0.02613013 -0.133 -0.01194435 0.02165949 -0.133 -0.01264739 0.02059561 -0.133 -0.01498699 0.01913744 -0.114 -0.01578158 0.01913744 -0.133 -0.01578158 0.01985335 -0.133 -0.0167911 0.01926636 -0.114 1.53623e-5 0.01926636 -0.133 1.53623e-5 0.0213834 -0.133 0.01069551 0.02957534 -0.133 -0.007747948 0.0213834 -0.114 0.01069551 0.02165949 -0.133 0.01267802 0.02359527 -0.133 0.008671522 0.02305167 -0.133 0.01069992 0.0213834 -0.133 -0.01066488 0.02403014 -0.133 -0.008307039 0.02613013 -0.133 -0.008307039 0.02403014 -0.133 -0.01194435 0.02298021 -0.133 -0.01012563 0.02298021 -0.114 -0.01012563 0.02318257 -0.114 -6.31685e-4 0.02403014 -0.114 -0.008307039 0.02613013 -0.114 -0.008307039 0.02359527 -0.114 0.008671522 0.02165949 -0.114 0.01267802 0.02624446 -0.114 0.002430081 0.02382957 -0.114 0.001783013 0.01536506 -0.114 0.02018743 0.01536506 -0.133 0.02018743 0.01512831 -0.133 0.02035868 0.01255708 -0.133 0.0234481 0.01512831 -0.114 0.02035868 0.01326012 -0.133 0.02107745 0.01073849 -0.133 0.02239817 0.01559972 -0.114 0.02001357 0.01559972 -0.133 0.02001357 0.01639431 -0.114 0.01855534 0.01639431 -0.133 0.01855534 0.01792144 -0.133 0.0173394 0.0174039 -0.133 0.01927131 0.01255708 -0.114 0.0234481 0.0174039 -0.114 0.01927131 0.01913744 -0.114 0.01581227 0.01792144 -0.114 0.0173394 0.01326012 -0.114 0.02107745 0.02076953 -0.133 0.01478302 0.02094078 -0.114 0.01454621 0.02094078 -0.133 0.01454621 0.0245366 -0.133 0.01218485 0.02076953 -0.114 0.01478302 0.01985335 -0.114 0.0168218 0.02305167 -0.114 0.01069992 0.02059561 -0.133 0.01501762 0.02059561 -0.114 0.01501762 0.01913744 -0.133 0.01581227 0.01985335 -0.133 0.0168218 5.97426e-4 -0.133 0.01868432 -0.01008278 -0.133 0.0208013 -0.01008719 -0.133 0.02246963 -0.01008278 -0.114 0.0208013 -0.01206529 -0.133 0.02107745 0.01127755 -0.114 0.0208013 0.01127755 -0.133 0.0208013 -0.007165968 -0.133 0.0289933 -0.009000122 -0.133 0.02652657 -0.007515192 -0.133 0.02504158 -0.008058726 -0.133 0.02301323 0.008919835 -0.133 0.0234481 0.00301218 -0.114 0.02436828 0.008919835 -0.114 0.0234481 0.01073849 -0.114 0.02239817 -0.008058726 -0.114 0.02301323 0.001244366 -0.114 0.02260053 -0.01008719 -0.114 0.02246963 -0.01157212 -0.114 0.02395457 -0.01206529 -0.114 0.02107745 -0.0195747 -0.133 0.01478302 -0.01974588 -0.133 0.01454621 -0.02493536 -0.133 0.01197504 -0.02046459 -0.133 0.01267802 -0.01940077 -0.133 0.01501762 -0.01794248 -0.114 0.01581227 -0.01794248 -0.133 0.01581227 -0.01865845 -0.133 0.0168218 -0.01417016 -0.133 0.02018743 -0.01393342 -0.114 0.02035868 -0.01393342 -0.133 0.02035868 -0.02061575 -0.133 0.02122855 -0.01417016 -0.114 0.02018743 -0.01440489 -0.133 0.02001357 -0.01440489 -0.114 0.02001357 -0.01519954 -0.133 0.01855534 -0.01519954 -0.114 0.01855534 -0.01762324 -0.133 0.02068549 -0.01807159 -0.114 1.53623e-5 -0.01807159 -0.133 1.53623e-5 -0.02018857 -0.133 -0.01066488 -0.02838057 -0.133 0.007778704 -0.02018857 -0.114 -0.01066488 -0.02046459 -0.133 -0.01264739 -0.02240037 -0.133 -0.008640766 -0.0218569 -0.133 -0.01066923 -0.02018857 -0.133 0.01069551 -0.02283537 -0.133 0.008337795 -0.02493536 -0.133 0.008337795 -0.02283537 -0.133 0.01197504 -0.02178531 -0.133 0.01015645 -0.02178531 -0.114 0.01015645 -0.02198773 -0.114 6.6241e-4 -0.02283537 -0.114 0.008337795 -0.02493536 -0.114 0.008337795 -0.02240037 -0.114 -0.008640766 -0.02046459 -0.114 -0.01264739 -0.02504956 -0.114 -0.002399444 -0.0226348 -0.114 -0.001752316 -0.01417016 -0.114 -0.0201568 -0.01417016 -0.133 -0.0201568 -0.01393342 -0.133 -0.02032798 -0.01136231 -0.133 -0.02341741 -0.01393342 -0.114 -0.02032798 -0.01206529 -0.133 -0.02104663 -0.009543657 -0.133 -0.02236735 -0.01440489 -0.114 -0.01998281 -0.01440489 -0.133 -0.01998281 -0.01519954 -0.114 -0.01852458 -0.01519954 -0.133 -0.01852458 -0.01672667 -0.133 -0.01730871 -0.016209 -0.133 -0.01924049 -0.01136231 -0.114 -0.02341741 -0.016209 -0.114 -0.01924049 -0.01794248 -0.114 -0.01578158 -0.01672667 -0.114 -0.01730871 -0.01206529 -0.114 -0.02104663 -0.0195747 -0.133 -0.0147522 -0.01974588 -0.114 -0.01451551 -0.01974588 -0.133 -0.01451551 -0.02334183 -0.133 -0.01215416 -0.0195747 -0.114 -0.0147522 -0.01865845 -0.114 -0.0167911 -0.0218569 -0.114 -0.01066923 -0.01940077 -0.133 -0.01498699 -0.01940077 -0.114 -0.01498699 -0.01794248 -0.133 -0.01578158 -0.01865845 -0.133 -0.0167911 5.97426e-4 -0.133 -0.01865369 0.01127755 -0.133 -0.02077054 0.01128196 -0.133 -0.022439 0.01127755 -0.114 -0.02077054 -0.01008278 -0.114 -0.02077054 -0.01008278 -0.133 -0.02077054 0.008360803 -0.133 -0.02896261 0.01019495 -0.133 -0.02649587 0.008710086 -0.133 -0.02501094 0.009253561 -0.133 -0.02298241 -0.007725 -0.133 -0.02341741 -0.001817286 -0.114 -0.02433753 -0.007725 -0.114 -0.02341741 -0.009543657 -0.114 -0.02236735 0.009253561 -0.114 -0.02298241 -4.96216e-5 -0.114 -0.02256977 0.01128196 -0.114 -0.022439 -0.02837985 -0.133 -0.007750034 -0.02061551 -0.133 -0.02119755 -0.007167935 -0.133 -0.02896195 0.02957475 -0.133 0.00778079 0.02181041 -0.133 0.02122837 0.008362829 -0.133 0.02899271 0.02074986 -0.133 -0.02013713 0.01222342 -0.133 -0.02595227 0.01276689 -0.133 -0.02392387 0.02562367 -0.133 0.008127987 0.02718019 -0.133 -0.01012563 0.02126759 -0.133 -0.01820528 0.02656513 -0.133 0.01164138 0.0271086 -0.133 0.009612917 0.02074986 -0.133 0.02016782 0.02126759 -0.133 0.01823604 0.01073849 -0.133 0.02659815 0.01255708 -0.133 0.02554816 0.01881808 -0.133 0.02068549 -0.01102852 -0.133 0.02598309 0.008919835 -0.133 0.02554816 -0.01955509 -0.133 0.02016782 -0.01157212 -0.133 0.02395457 -0.0244289 -0.133 -0.00809729 -0.02598536 -0.133 0.01015645 -0.02007269 -0.133 0.01823604 -0.02537024 -0.133 -0.01161056 -0.02591377 -0.133 -0.009582221 -0.01955509 -0.133 -0.02013713 -0.02007269 -0.133 -0.01820528 -0.009543657 -0.133 -0.02656733 -0.01136231 -0.133 -0.0255174 -0.01762324 -0.133 -0.02065473 -0.007725 -0.133 -0.0255174 -0.02334183 -0.114 -0.01215416 0.0245366 -0.114 0.01218485 0.002365112 -0.132 -0.02321684 -5.02417e-5 -0.132 -0.02257031 0.003011703 -0.132 -0.02563226 0.001245081 -0.132 -0.02739894 -0.001170337 -0.132 -0.02675235 -0.001816809 -0.132 -0.02433693 0.02382957 -0.132 0.001783013 0.02318298 -0.132 -6.32305e-4 0.02624499 -0.132 0.002429664 0.02801167 -0.132 6.6303e-4 0.02736508 -0.132 -0.001752316 0.02494966 -0.132 -0.002398908 -0.001170337 -0.132 0.02324753 0.001245081 -0.132 0.02260094 -0.001816809 -0.132 0.02566295 -5.02417e-5 -0.132 0.02742964 0.002365112 -0.132 0.02678304 0.003011703 -0.132 0.02436769 -0.0226348 -0.132 -0.001752316 -0.02198821 -0.132 6.6303e-4 -0.02505022 -0.132 -0.002398908 -0.0268169 -0.132 -6.32305e-4 -0.02617031 -0.132 0.001783013 -0.02375489 -0.132 0.002429664 -0.008510828 -0.114 0.01089131 -0.007184982 -0.114 0.009797096 -0.008241355 -0.114 0.00885415 -0.008241355 -0.11 0.00885415 -0.01461893 -0.114 0.01699948 -0.01672667 -0.114 0.0173394 -0.0091843 -0.114 0.007797837 -0.01190233 -0.11 1.65976e-5 -0.007322192 -0.114 0.01031857 -0.006035387 -0.114 0.0106104 -0.006035387 -0.133 0.0106104 5.97394e-4 -0.133 0.01251506 5.96191e-4 -0.11 0.01251506 -0.007322192 -0.133 0.01031857 -0.01461893 -0.133 0.01699948 -0.008510828 -0.133 0.01089131 0.01758158 -0.114 0.01523166 0.0158137 -0.114 0.01699948 0.01147341 -0.114 0.009123623 0.009705722 -0.114 0.01089131 0.009705722 -0.133 0.01089131 0.0158137 -0.133 0.01699948 0.01090061 -0.114 0.007934987 0.008517026 -0.114 0.01031857 0.00943613 -0.114 0.008854091 0.007230222 -0.114 0.0106104 0.008517026 -0.133 0.01031857 0.0111925 -0.114 0.006648123 0.007230222 -0.133 0.0106104 0.009436011 -0.11 0.008853912 0.0111925 -0.133 0.006648123 0.01309716 -0.133 1.53724e-5 0.01309716 -0.11 1.41271e-5 0.01090061 -0.133 0.007934987 0.01758158 -0.133 0.01523166 0.01147341 -0.133 0.009123623 0.01985335 -0.114 -0.0167911 0.01758158 -0.114 -0.01520097 0.01792144 -0.114 -0.01730871 0.01147341 -0.114 -0.009092926 0.01147341 -0.133 -0.009092926 0.01758158 -0.133 -0.01520097 0.01037913 -0.114 -0.007767081 0.01090061 -0.114 -0.007904231 0.0111925 -0.114 -0.006617367 0.01090061 -0.133 -0.007904231 0.0111925 -0.133 -0.006617367 0.009436249 -0.114 -0.008823454 0.009705722 -0.114 -0.01086068 0.008379876 -0.114 -0.009766399 0.009436249 -0.11 -0.008823454 0.0158137 -0.114 -0.01696872 0.008517026 -0.114 -0.01028788 0.007230222 -0.114 -0.01057964 0.007230222 -0.133 -0.01057964 5.97443e-4 -0.133 -0.01248443 5.98661e-4 -0.11 -0.01248443 0.008517026 -0.133 -0.01028788 0.0158137 -0.133 -0.01696872 0.009705722 -0.133 -0.01086068 -0.01638662 -0.114 -0.01520097 -0.01461893 -0.114 -0.01696872 -0.01027864 -0.114 -0.009092926 -0.008510828 -0.114 -0.01086068 -0.008510828 -0.133 -0.01086068 -0.01461893 -0.133 -0.01696872 -0.009705841 -0.114 -0.007904231 -0.007322192 -0.114 -0.01028788 -0.008241295 -0.114 -0.008823335 -0.006035387 -0.114 -0.01057964 -0.007322192 -0.133 -0.01028788 -0.009997606 -0.114 -0.006617367 -0.006035387 -0.133 -0.01057964 -0.008241117 -0.11 -0.008823215 -0.009997606 -0.133 -0.006617367 -0.01190233 -0.133 1.53198e-5 -0.009705841 -0.133 -0.007904231 -0.01638662 -0.133 -0.01520097 -0.01027864 -0.133 -0.009092926 -0.01865845 -0.114 0.0168218 -0.01638662 -0.114 0.01523166 -0.01027864 -0.114 0.009123623 -0.01027864 -0.133 0.009123623 -0.01638662 -0.133 0.01523166 -0.009705841 -0.114 0.007934987 -0.009997606 -0.114 0.006648123 -0.009705841 -0.133 0.007934987 -0.009997606 -0.133 0.006648123 0.0174039 -0.133 -0.01924049 0.01792144 -0.133 -0.01730871 -0.016209 -0.133 0.01927131 -0.01672667 -0.133 0.0173394 -0.006646931 -0.133 0.001955687 -0.004705846 -0.133 0.005318641 -0.004705846 -0.11 0.005318641 -0.001342952 -0.133 0.007259786 -0.001343548 -0.11 0.007259428 -0.006646931 -0.133 -0.001924932 -0.006646633 -0.11 0.001956403 -0.004705846 -0.133 -0.005287885 -0.006646931 -0.11 -0.001925766 -0.001342952 -0.133 -0.00722903 -0.004705548 -0.11 -0.005287647 0.002537727 -0.133 -0.00722903 -0.001343667 -0.11 -0.00722903 0.005900681 -0.133 -0.005287885 0.002538383 -0.11 -0.007228732 0.007841825 -0.133 -0.001924932 0.005900681 -0.11 -0.005287885 0.007841825 -0.133 0.001955687 0.007841527 -0.11 -0.001925647 0.005900681 -0.133 0.005318641 0.007841825 -0.11 0.001956403 0.002537727 -0.133 0.007259786 0.005900442 -0.11 0.005318403 0.002538502 -0.11 0.007259786 0.01226264 -0.11 -2.36244e-4 0.01226264 -0.11 -0.001650393 0.01084846 -0.11 -0.001650393 0.01084846 -0.11 -2.36244e-4 0.01226264 -0.111 -2.36244e-4 0.0108487 -0.111 -2.36488e-4 0.0122624 -0.111 -0.001650214 0.01084846 -0.111 -0.001650393 -0.008133471 -0.125 0.03259921 -0.01178807 -0.125 0.03541094 -0.02591902 -0.125 0.02653181 -0.02616906 -0.1248535 0.02678179 -0.02325564 -0.125 0.02386838 -0.03479814 -0.125 0.0124008 -0.03527009 -0.1245 0.01256597 -0.003601253 -0.125 0.03727948 -0.01195317 -0.1245 0.03588289 -0.02627259 -0.1245 0.02688539 0.001092195 -0.125 0.03701013 0.004796028 -0.125 0.03727948 0.009328126 -0.125 0.03259927 1.02622e-4 -0.125 0.03602045 1.02451e-4 -0.125 0.03701031 0.03234946 -0.125 0.0199666 0.0205487 -0.125 0.03176736 0.004852056 -0.1245 0.03777641 0.02445048 -0.125 0.02386838 0.02081453 -0.1245 0.03219079 0.03786152 -0.125 0.004214048 0.03277283 -0.1245 0.02023249 0.03759235 -0.125 -4.79612e-4 0.03786152 -0.125 -0.004183292 0.03835839 -0.1245 0.004269957 0.03318125 -0.125 0.008746087 0.03759223 -0.125 5.10167e-4 0.03318125 -0.125 -0.00871551 0.03599298 -0.125 -0.0123701 0.03660255 -0.125 -4.79442e-4 0.02445048 -0.125 -0.02383768 0.02711391 -0.125 -0.02650105 0.03646492 -0.1245 -0.01253521 0.009328305 -0.125 -0.03256845 0.01298296 -0.125 -0.03538018 0.02736389 -0.1248535 -0.0267511 0.004796028 -0.125 -0.03724879 0.01314795 -0.1245 -0.03585219 0.02746742 -0.1245 -0.02685469 1.02622e-4 -0.125 -0.03697937 -0.003601253 -0.125 -0.03724879 -0.008133292 -0.125 -0.03256851 0.001092195 -0.125 -0.03598982 0.001092374 -0.125 -0.03697955 -0.03115463 -0.125 -0.0199359 -0.01935374 -0.125 -0.03173673 -0.003657162 -0.1245 -0.03774565 -0.02325552 -0.125 -0.02383768 -0.01961976 -0.1245 -0.0321601 -0.03666675 -0.125 -0.004183292 -0.03157806 -0.1245 -0.02020186 -0.03639745 -0.125 5.10337e-4 -0.03666675 -0.125 0.004214048 -0.03716361 -0.1245 -0.004239261 -0.03198647 -0.125 -0.008715391 -0.03639727 -0.125 -4.79442e-4 -0.03198641 -0.125 0.008746266 -0.03540772 -0.125 5.10167e-4 -0.02325564 -0.1246 0.02386838 -0.008133471 -0.1246 0.03259921 -0.0354076 -0.125 -4.79612e-4 -0.03198641 -0.1246 0.008746266 -0.03198647 -0.1246 -0.008715391 -0.02325552 -0.1246 -0.02383768 -0.008133292 -0.1246 -0.03256851 1.02451e-4 -0.125 -0.03598964 0.009328305 -0.1246 -0.03256845 0.02445048 -0.1246 -0.02383768 0.03660237 -0.125 5.10337e-4 0.03318125 -0.1246 -0.00871551 0.03318125 -0.1246 0.008746087 0.02445048 -0.1246 0.02386838 0.009328126 -0.1246 0.03259927 0.001092374 -0.125 0.03602027 0.001092374 -0.1243 0.03602027 1.02451e-4 -0.1243 0.03602027 0.001092374 -0.1243 0.03701031 1.02451e-4 -0.1243 0.03701031 0.03759235 -0.1243 -4.79612e-4 0.03660237 -0.1243 -4.79612e-4 0.03759235 -0.1243 5.10337e-4 0.03660237 -0.1243 5.10337e-4 0.001092374 -0.1243 -0.03697955 1.02451e-4 -0.1243 -0.03697955 0.001092374 -0.1243 -0.03598964 1.02451e-4 -0.1243 -0.03598964 -0.0354076 -0.1243 -4.79612e-4 -0.03639745 -0.1243 -4.79612e-4 -0.0354076 -0.1243 5.10337e-4 -0.03639745 -0.1243 5.10337e-4 -0.0230906 -0.1246 0.02370339 -0.008073091 -0.1246 0.03237384 -0.03176105 -0.1246 -0.008654952 -0.03176105 -0.1246 0.008685886 -0.0230906 -0.1246 -0.02367264 -0.008072912 -0.1246 -0.03234308 0.009267926 -0.1246 -0.03234302 0.02428549 -0.1246 -0.02367264 0.009267747 -0.1246 0.03237384 0.02428549 -0.1246 0.02370339 0.03295594 -0.1246 0.008685708 0.03295588 -0.1246 -0.00865513 -0.0230906 -0.125 0.02370339 -0.008073091 -0.125 0.03237384 -0.03176105 -0.125 0.008685886 -0.03176105 -0.125 -0.008654952 -0.0230906 -0.125 -0.02367264 -0.008072912 -0.125 -0.03234308 0.009267926 -0.125 -0.03234302 0.02428549 -0.125 -0.02367264 0.03295588 -0.125 -0.00865513 0.03295594 -0.125 0.008685708 0.02428549 -0.125 0.02370339 0.009267747 -0.125 0.03237384 -0.02096933 -0.125 0.021582 -0.007296383 -0.125 0.0294761 -0.02886325 -0.125 -0.007878661 -0.02886331 -0.125 0.007909238 -0.02096927 -0.125 -0.02155137 -0.007296562 -0.125 -0.02944535 0.008491277 -0.125 -0.02944535 0.02216416 -0.125 -0.02155137 0.008491456 -0.125 0.02947598 0.02216416 -0.125 0.021582 0.03005808 -0.125 0.007909417 0.03005814 -0.125 -0.007878482 -0.02071923 -0.1248535 0.02133208 -0.007167041 -0.1245 0.02899307 -0.02838033 -0.1245 0.007779896 -0.02061575 -0.1245 0.02122855 -0.02838033 -0.1245 -0.00774914 -0.02061575 -0.1245 -0.02119779 -0.007167041 -0.1245 -0.02896237 0.008361995 -0.1245 -0.02896237 0.02191418 -0.1248535 -0.02130132 0.0295751 -0.1245 -0.00774914 0.02181059 -0.1245 -0.02119779 0.0295751 -0.1245 0.007779896 0.02181059 -0.1245 0.02122855 0.008361995 -0.1245 0.02899307 -0.02061575 -0.1175 0.02122855 -0.007167041 -0.1175 0.02899307 -0.02838033 -0.1175 0.007779896 -0.02838033 -0.1175 -0.00774914 -0.02061575 -0.1175 -0.02119779 -0.007167041 -0.1175 -0.02896237 0.008361995 -0.1175 -0.02896237 0.02181059 -0.1175 -0.02119779 -0.02071923 -0.1171464 0.02133208 -0.007296383 -0.117 0.0294761 -0.02886331 -0.117 0.007909238 -0.02096933 -0.117 0.021582 -0.02886325 -0.117 -0.007878661 -0.02096927 -0.117 -0.02155137 -0.007296562 -0.117 -0.02944535 0.008491277 -0.117 -0.02944535 0.02191418 -0.1171464 -0.02130132 0.0295751 -0.1175 -0.00774914 -0.0230906 -0.117 0.02370339 -0.008073091 -0.117 0.03237384 -0.03176105 -0.117 0.008685886 -0.03176105 -0.117 -0.008654952 -0.008072912 -0.117 -0.03234308 -0.0230906 -0.117 -0.02367264 0.009267926 -0.117 -0.03234302 0.02216416 -0.117 -0.02155137 0.02428549 -0.117 -0.02367264 0.03005814 -0.117 -0.007878482 0.008491456 -0.117 0.02947598 0.009267747 -0.117 0.03237384 0.02216416 -0.117 0.021582 0.008361995 -0.1175 0.02899307 0.03295594 -0.117 0.008685708 0.03005808 -0.117 0.007909417 0.02181059 -0.1175 0.02122855 0.02428549 -0.117 0.02370339 0.03295588 -0.117 -0.00865513 0.0295751 -0.1175 0.007779896 -0.0230906 -0.1174 0.02370339 -0.008073091 -0.1174 0.03237384 -0.03176105 -0.1174 0.008685886 -0.03176105 -0.1174 -0.008654952 -0.0230906 -0.1174 -0.02367264 -0.008072912 -0.1174 -0.03234308 0.009267926 -0.1174 -0.03234302 0.02428549 -0.1174 -0.02367264 0.03295588 -0.1174 -0.00865513 0.03295594 -0.1174 0.008685708 0.02428549 -0.1174 0.02370339 0.009267747 -0.1174 0.03237384 -0.02325564 -0.1174 0.02386838 -0.008133471 -0.1174 0.03259921 -0.03198641 -0.1174 0.008746266 -0.03198647 -0.1174 -0.008715391 -0.008133292 -0.1174 -0.03256851 -0.02325552 -0.1174 -0.02383768 0.009328305 -0.1174 -0.03256845 0.02445048 -0.1174 -0.02383768 0.009328126 -0.1174 0.03259927 0.03318125 -0.1174 0.008746087 0.02445048 -0.1174 0.02386838 0.03318125 -0.1174 -0.00871551 -0.02325564 -0.117 0.02386838 -0.008133471 -0.117 0.03259921 -0.03198641 -0.117 0.008746266 -0.03198647 -0.117 -0.008715391 -0.02325552 -0.117 -0.02383768 -0.008133292 -0.117 -0.03256851 0.009328305 -0.117 -0.03256845 0.02445048 -0.117 -0.02383768 0.03318125 -0.117 -0.00871551 0.03318125 -0.117 0.008746087 0.02445048 -0.117 0.02386838 0.009328126 -0.117 0.03259927 -0.02591902 -0.117 0.02653181 -0.01178807 -0.117 0.03541094 -0.03666675 -0.117 0.004214048 -0.03479814 -0.117 0.0124008 -0.03666675 -0.117 -0.004183292 -0.03540772 -0.117 5.10167e-4 -0.03639727 -0.117 -4.79442e-4 -0.0354076 -0.117 -4.79612e-4 -0.003601253 -0.117 -0.03724879 -0.01935374 -0.117 -0.03173673 1.02451e-4 -0.117 -0.03598964 1.02622e-4 -0.117 -0.03697937 0.01298296 -0.117 -0.03538018 0.004796028 -0.117 -0.03724879 0.001092195 -0.117 -0.03598982 0.02711391 -0.117 -0.02650105 0.001092374 -0.117 0.03602027 -0.003601253 -0.117 0.03727948 1.02622e-4 -0.117 0.03602045 0.004796028 -0.117 0.03727948 0.001092195 -0.117 0.03701013 0.03786152 -0.117 0.004214048 0.0205487 -0.117 0.03176736 0.03786152 -0.117 -0.004183292 0.03660255 -0.117 -4.79442e-4 0.03759223 -0.117 5.10167e-4 0.03660237 -0.117 5.10337e-4 0.03599298 -0.117 -0.0123701 -0.02616906 -0.1171464 0.02678179 -0.01195317 -0.1175 0.03588289 -0.03527009 -0.1175 0.01256597 -0.02627259 -0.1175 0.02688539 -0.03639745 -0.117 5.10337e-4 -0.03115463 -0.117 -0.0199359 -0.03716361 -0.1175 -0.004239261 -0.03157806 -0.1175 -0.02020186 -0.01961976 -0.1175 -0.0321601 0.001092374 -0.117 -0.03697955 -0.003657162 -0.1175 -0.03774565 0.01314795 -0.1175 -0.03585219 0.02736389 -0.1171464 -0.0267511 0.03646492 -0.1175 -0.01253521 0.02746742 -0.1175 -0.02685469 0.03759235 -0.117 -4.79612e-4 0.03234946 -0.117 0.0199666 0.03835839 -0.1175 0.004269957 0.03277283 -0.1175 0.02023249 0.02081453 -0.1175 0.03219079 1.02451e-4 -0.117 0.03701031 0.004852056 -0.1175 0.03777641 0.001092374 -0.1177 0.03602027 0.001092374 -0.1177 0.03701031 1.02451e-4 -0.1177 0.03602027 1.02451e-4 -0.1177 0.03701031 0.03759235 -0.1177 -4.79612e-4 0.03759235 -0.1177 5.10337e-4 0.03660237 -0.1177 -4.79612e-4 0.03660237 -0.1177 5.10337e-4 0.001092374 -0.1177 -0.03697955 0.001092374 -0.1177 -0.03598964 1.02451e-4 -0.1177 -0.03697955 1.02451e-4 -0.1177 -0.03598964 -0.0354076 -0.1177 -4.79612e-4 -0.0354076 -0.1177 5.10337e-4 -0.03639745 -0.1177 -4.79612e-4 -0.03639745 -0.1177 5.10337e-4 -0.02627259 -0.1202 0.02688539 -0.01195317 -0.1202 0.03588289 -0.03527009 -0.1202 0.01256597 -0.03716361 -0.1202 -0.004239261 -0.03157806 -0.1202 -0.02020186 -0.01961976 -0.1202 -0.0321601 -0.003657162 -0.1202 -0.03774565 0.01314795 -0.1202 -0.03585219 0.02746742 -0.1202 -0.02685469 -0.02615946 -0.1206 0.02677226 -0.02580356 -0.1206 0.02712351 -0.01766216 -0.121 0.03297543 -0.02544295 -0.1206 0.02746999 -0.03588342 -0.121 0.00944525 -0.02651071 -0.1206 0.0264163 -0.02685719 -0.1206 0.02605581 -0.02680063 -0.1208 0.02599912 -0.026744 -0.121 0.02594262 -0.03236258 -0.121 0.01827502 -0.03588342 -0.121 -0.009414494 -0.03708255 -0.121 1.53623e-5 -0.02685719 -0.1206 -0.02602499 -0.03236258 -0.121 -0.01824426 -0.026744 -0.121 -0.02591186 -0.02680063 -0.1208 -0.02596849 -0.01766216 -0.121 -0.03294461 -0.02615946 -0.1206 -0.02674156 -0.02544295 -0.1206 -0.02743929 -0.02538639 -0.1208 -0.02738267 -0.02532976 -0.121 -0.02732604 5.97426e-4 -0.121 -0.03766459 -0.008832454 -0.121 -0.03646558 0.01885706 -0.121 -0.03294461 0.01002722 -0.121 -0.03646558 0.02663785 -0.1206 -0.02743929 0.0269984 -0.1206 -0.02709281 0.0273543 -0.1206 -0.02674156 0.03646492 -0.1202 -0.01253521 -0.02415126 -0.1206 0.0261783 -0.0255655 -0.1213999 0.02476406 -0.0255655 -0.1206 0.02476406 -0.02685719 -0.1213999 0.02605581 -0.02680063 -0.1211999 0.02599912 -0.03527009 -0.1218 0.01256597 -0.02627259 -0.1218 0.02688539 -0.03716361 -0.1218 -0.004239261 -0.03157806 -0.1218 -0.02020186 -0.0255655 -0.1206 -0.02473336 -0.02680063 -0.1211999 -0.02596849 -0.02415126 -0.1213999 -0.02614754 -0.02415126 -0.1206 -0.02614754 -0.01961976 -0.1218 -0.0321601 -0.02544295 -0.1213999 -0.02743929 -0.02538639 -0.1211999 -0.02738267 -0.003657162 -0.1218 -0.03774565 0.01314795 -0.1218 -0.03585219 0.02658122 -0.1208 -0.02738267 0.02652472 -0.121 -0.02732604 0.0253461 -0.1206 -0.02614754 0.02658122 -0.1211999 -0.02738267 0.02770555 -0.1206 -0.0263856 -0.02651071 -0.1213999 0.0264163 -0.02615946 -0.1213999 0.02677226 -0.01195317 -0.1218 0.03588289 -0.02580356 -0.1213999 0.02712351 -0.02615946 -0.1213999 -0.02674156 -0.02685719 -0.1213999 -0.02602499 0.0273543 -0.1213999 -0.02674156 0.02746742 -0.1218 -0.02685469 0.0269984 -0.1213999 -0.02709281 0.02663785 -0.1213999 -0.02743929 0.02770555 -0.1213999 -0.0263856 0.03646492 -0.1218 -0.01253521 0.02805209 -0.1213999 -0.02602499 0.03355747 -0.121 -0.01824426 0.02676028 -0.1213999 -0.02473336 0.0253461 -0.1213999 -0.02614754 -0.0255655 -0.1213999 -0.02473336 0.03835839 -0.1202 0.004269957 0.03277283 -0.1202 0.02023249 0.02081453 -0.1202 0.03219079 0.004852056 -0.1202 0.03777641 0.03707832 -0.121 -0.009414494 0.02805209 -0.1206 -0.02602499 0.0279954 -0.1208 -0.02596849 0.0279389 -0.121 -0.02591186 0.03707832 -0.121 0.00944525 0.03827732 -0.121 1.53623e-5 0.02805209 -0.1206 0.02605581 0.03355747 -0.121 0.01827502 0.0279389 -0.121 0.02594262 0.0279954 -0.1208 0.02599912 0.01885706 -0.121 0.03297543 0.0273543 -0.1206 0.02677226 0.02663785 -0.1206 0.02746999 0.02658122 -0.1208 0.02741336 0.02652472 -0.121 0.02735686 5.97426e-4 -0.121 0.03769528 0.01002722 -0.121 0.03649628 -0.008832454 -0.121 0.03649628 -0.02538639 -0.1208 0.02741336 -0.02532976 -0.121 0.02735686 -0.02538639 -0.1211999 0.02741336 0.02676028 -0.1206 -0.02473336 0.0279954 -0.1211999 -0.02596849 0.03835839 -0.1218 0.004269957 0.03277283 -0.1218 0.02023249 0.02676028 -0.1206 0.02476406 0.0279954 -0.1211999 0.02599912 0.0253461 -0.1213999 0.0261783 0.0253461 -0.1206 0.0261783 0.02081453 -0.1218 0.03219079 0.02658122 -0.1211999 0.02741336 0.02663785 -0.1213999 0.02746999 0.004852056 -0.1218 0.03777641 0.0273543 -0.1213999 0.02677226 0.02805209 -0.1213999 0.02605581 0.02676028 -0.1213999 0.02476406 -0.02544295 -0.1213999 0.02746999 -0.02415126 -0.1213999 0.0261783 0.00497967 -0.002874732 -0.03849995 0.004329979 -0.002500057 -0.03849995 0 -0.004999995 -0.03849995 0 -0.004999995 -0.03474998 0 -0.00575 -0.03849995 -0.004329979 -0.002500057 -0.03849995 -0.004330098 -0.002499938 -0.03474998 0.004329979 0.002500057 -0.03849995 0.004999995 0 -0.03474998 0.003535509 -0.003535509 -0.03474998 0 0.00575 -0.03849995 0 0.004999995 -0.03849995 0.003535509 0.003535509 -0.03474998 0.00497967 0.002874732 -0.03849995 -0.00497967 0.002874732 -0.03849995 -0.004329979 0.002500057 -0.03849995 0 0.004999995 -0.03474998 -0.004330098 0.002499938 -0.03474998 -0.00497967 -0.002874732 -0.03849995 0 -0.005999982 -0.03874999 0.005196094 -0.002999961 -0.03874999 -0.005196094 -0.002999961 -0.03874999 -0.005196094 0.002999961 -0.03874999 0 0.005999982 -0.03874999 0.005196094 0.002999961 -0.03874999 0 -0.005499899 -0.04049998 0.001399934 0 -0.04049998 0.002999961 -0.001599967 -0.04049998 0.002999961 -0.001599967 -0.03424996 0.004599869 0 -0.04049998 0.004599988 0 -0.03434991 0.00385797 -0.001350343 -0.03424996 0.004448294 -6.79981e-4 -0.03424996 0.004562199 -3.45557e-4 -0.0343253 0 0.005499899 -0.04049998 0.002999961 0.001599967 -0.04049998 0.001399934 0 -0.03424996 0.004762947 0.002750158 -0.04049998 0.002999961 0.001599967 -0.03424996 0.004762947 -0.002750158 -0.04049998 0.00385797 0.001350343 -0.03424996 0.004448294 6.79979e-4 -0.03424996 0.004562199 3.45279e-4 -0.0343253 -0.001399934 0 -0.04049998 -0.002999961 0.001599967 -0.04049998 -0.002999961 0.001599967 -0.03424996 -0.004599869 0 -0.04049998 -0.004599988 0 -0.03434991 -0.00385797 0.001350343 -0.03424996 -0.004448294 6.79979e-4 -0.03424996 -0.002999961 -0.001599967 -0.04049998 -0.001399934 0 -0.03424996 -0.004762947 -0.002750158 -0.04049998 -0.002999961 -0.001599967 -0.03424996 -0.004762947 0.002750158 -0.04049998 -0.00385797 -0.001350343 -0.03424996 -0.004448294 -6.79981e-4 -0.03424996 0 -0.005999982 -0.03999996 -0.005196094 -0.002999961 -0.03999996 0.005196094 -0.002999961 -0.03999996 0.005196094 0.002999961 -0.03999996 0 0.005999982 -0.03999996 -0.005196094 0.002999961 -0.03999996 -0.002931535 -0.003413975 -0.03424996 -0.002931654 0.003413975 -0.03424996 0.002931535 0.003413975 -0.03424996 0 0.004499912 -0.03424996 0.002931535 -0.003413975 -0.03424996 0 -0.004499912 -0.03424996 -0.032 -0.03519123 0.01430869 -0.032 -0.03749996 0.01399987 -0.032 -0.03549993 0.01199996 -0.02989995 -0.03549993 0.01199996 -0.032 -0.034235 0.01199996 -0.032 -0.03749996 0.01000005 -0.02989995 -0.03749996 0.01000005 -0.032 -0.04076492 0.01199996 -0.032 -0.03949993 0.01199996 -0.02989995 -0.03749996 0.01399987 -0.032 -0.03980869 0.01430869 -0.032 -0.03980869 0.009691238 -0.02989995 -0.03949993 0.01199996 -0.032 -0.03519123 0.009691238 -0.03206872 -0.03406882 0.01199996 -0.0322349 -0.03502506 0.0144748 -0.032 -0.03749996 0.008734941 -0.0322349 -0.03502506 0.00952512 -0.0322349 -0.03399991 0.01199996 -0.0322349 -0.03749996 0.008499979 -0.0322349 -0.0399748 0.00952512 -0.03206872 -0.04093116 0.01199996 -0.032 -0.03749996 0.01526492 -0.0322349 -0.0399748 0.0144748 -0.0322349 -0.04099988 0.01199996 -0.0322349 -0.03749996 0.01549988 -0.02989995 -0.03914994 0.01199996 -0.02989995 -0.03749996 0.01365 -0.02989995 -0.03749996 0.01034992 -0.02989995 -0.03584992 0.01199996 -0.01999998 -0.03584992 0.01199996 -0.01999998 -0.03749996 0.01034992 -0.01999998 -0.03749996 0.01365 -0.01999998 -0.03914994 0.01199996 -0.03599995 -0.035308 0.009808003 -0.03599995 -0.035308 0.01419192 -0.03599995 -0.03439992 0.01199996 -0.03559988 -0.03399991 0.01199996 -0.03559988 -0.03502506 0.00952512 -0.03599995 -0.03749996 0.01373195 -0.03599995 -0.03749996 0.0151 -0.03559988 -0.03502506 0.0144748 -0.03599995 -0.03599995 0.0111339 -0.03599995 -0.03599995 0.01286602 -0.03599995 -0.03899997 0.01286602 -0.03599995 -0.03969198 0.01419192 -0.03559988 -0.03749996 0.01549988 -0.03599995 -0.03969198 0.009808003 -0.03599995 -0.0406 0.01199996 -0.03559988 -0.0399748 0.0144748 -0.03559988 -0.04099988 0.01199996 -0.03599995 -0.03749996 0.01026791 -0.03599995 -0.03749996 0.008899986 -0.03559988 -0.0399748 0.00952512 -0.03599995 -0.03899997 0.0111339 -0.03559988 -0.03749996 0.008499979 -0.03399991 -0.03599995 0.0111339 -0.03399991 -0.03599995 0.01286602 -0.03399991 -0.03749996 0.01026791 -0.03399991 -0.03899997 0.0111339 -0.03399991 -0.03899997 0.01286602 -0.03399991 -0.03749996 0.01373195 -0.032 -0.03519123 0.002308607 -0.032 -0.03749996 0.001999855 -0.032 -0.03549993 0 -0.02989995 -0.03549993 0 -0.032 -0.034235 0 -0.032 -0.03749996 -0.001999855 -0.02989995 -0.03749996 -0.001999855 -0.032 -0.04076492 0 -0.032 -0.03949993 0 -0.02989995 -0.03749996 0.001999855 -0.032 -0.03980869 0.002308607 -0.032 -0.03980869 -0.002308607 -0.02989995 -0.03949993 0 -0.032 -0.03519123 -0.002308607 -0.03206872 -0.03406882 0 -0.0322349 -0.03502506 0.002474844 -0.032 -0.03749996 -0.003264904 -0.0322349 -0.03502506 -0.002474844 -0.0322349 -0.03399991 0 -0.0322349 -0.03749996 -0.003499925 -0.0322349 -0.0399748 -0.002474844 -0.03206872 -0.04093116 0 -0.032 -0.03749996 0.003264904 -0.0322349 -0.0399748 0.002474844 -0.0322349 -0.04099988 0 -0.0322349 -0.03749996 0.003499925 -0.02989995 -0.03914994 0 -0.02989995 -0.03749996 0.001649916 -0.02989995 -0.03749996 -0.001649916 -0.02989995 -0.03584992 0 -0.01999998 -0.03584992 0 -0.01999998 -0.03749996 -0.001649916 -0.01999998 -0.03749996 0.001649916 -0.01999998 -0.03914994 0 -0.03599995 -0.035308 -0.002191901 -0.03599995 -0.035308 0.002191901 -0.03599995 -0.03439992 0 -0.03559988 -0.03399991 0 -0.03559988 -0.03502506 -0.002474844 -0.03599995 -0.03749996 0.001731932 -0.03599995 -0.03749996 0.003099918 -0.03559988 -0.03502506 0.002474844 -0.03599995 -0.03599995 -8.66025e-4 -0.03599995 -0.03599995 8.66025e-4 -0.03599995 -0.03899997 8.66025e-4 -0.03599995 -0.03969198 0.002191901 -0.03559988 -0.03749996 0.003499925 -0.03599995 -0.03969198 -0.002191901 -0.03599995 -0.0406 0 -0.03559988 -0.0399748 0.002474844 -0.03559988 -0.04099988 0 -0.03599995 -0.03749996 -0.001731932 -0.03599995 -0.03749996 -0.003099918 -0.03559988 -0.0399748 -0.002474844 -0.03599995 -0.03899997 -8.66025e-4 -0.03559988 -0.03749996 -0.003499925 -0.03399991 -0.03599995 -8.66025e-4 -0.03399991 -0.03599995 8.66025e-4 -0.03399991 -0.03749996 -0.001731932 -0.03399991 -0.03899997 -8.66025e-4 -0.03399991 -0.03899997 8.66025e-4 -0.03399991 -0.03749996 0.001731932 0.032 -0.03519123 -0.01430869 0.032 -0.03749996 -0.01399987 0.032 -0.03549993 -0.01199996 0.02989995 -0.03549993 -0.01199996 0.032 -0.034235 -0.01199996 0.032 -0.03749996 -0.01000005 0.02989995 -0.03749996 -0.01000005 0.032 -0.04076492 -0.01199996 0.032 -0.03949993 -0.01199996 0.02989995 -0.03749996 -0.01399987 0.032 -0.03980869 -0.01430869 0.032 -0.03980869 -0.009691238 0.02989995 -0.03949993 -0.01199996 0.032 -0.03519123 -0.009691238 0.03206872 -0.03406882 -0.01199996 0.0322349 -0.03502506 -0.0144748 0.032 -0.03749996 -0.008734941 0.0322349 -0.03502506 -0.00952512 0.0322349 -0.03399991 -0.01199996 0.0322349 -0.03749996 -0.008499979 0.0322349 -0.0399748 -0.00952512 0.03206872 -0.04093116 -0.01199996 0.032 -0.03749996 -0.01526492 0.0322349 -0.0399748 -0.0144748 0.0322349 -0.04099988 -0.01199996 0.0322349 -0.03749996 -0.01549988 0.02989995 -0.03914994 -0.01199996 0.02989995 -0.03749996 -0.01365 0.02989995 -0.03749996 -0.01034992 0.02989995 -0.03584992 -0.01199996 0.01999998 -0.03584992 -0.01199996 0.01999998 -0.03749996 -0.01034992 0.01999998 -0.03749996 -0.01365 0.01999998 -0.03914994 -0.01199996 0.03599995 -0.035308 -0.009808003 0.03599995 -0.035308 -0.01419192 0.03599995 -0.03439992 -0.01199996 0.03559988 -0.03399991 -0.01199996 0.03559988 -0.03502506 -0.00952512 0.03599995 -0.03749996 -0.01373195 0.03599995 -0.03749996 -0.0151 0.03559988 -0.03502506 -0.0144748 0.03599995 -0.03599995 -0.0111339 0.03599995 -0.03599995 -0.01286602 0.03599995 -0.03899997 -0.01286602 0.03599995 -0.03969198 -0.01419192 0.03559988 -0.03749996 -0.01549988 0.03599995 -0.03969198 -0.009808003 0.03599995 -0.0406 -0.01199996 0.03559988 -0.0399748 -0.0144748 0.03559988 -0.04099988 -0.01199996 0.03599995 -0.03749996 -0.01026791 0.03599995 -0.03749996 -0.008899986 0.03559988 -0.0399748 -0.00952512 0.03599995 -0.03899997 -0.0111339 0.03559988 -0.03749996 -0.008499979 0.03399991 -0.03599995 -0.0111339 0.03399991 -0.03599995 -0.01286602 0.03399991 -0.03749996 -0.01026791 0.03399991 -0.03899997 -0.0111339 0.03399991 -0.03899997 -0.01286602 0.03399991 -0.03749996 -0.01373195 0.032 -0.03519123 -0.002308607 0.032 -0.03749996 -0.001999855 0.032 -0.03549993 0 0.02989995 -0.03549993 0 0.032 -0.034235 0 0.032 -0.03749996 0.001999855 0.02989995 -0.03749996 0.001999855 0.032 -0.04076492 0 0.032 -0.03949993 0 0.02989995 -0.03749996 -0.001999855 0.032 -0.03980869 -0.002308607 0.032 -0.03980869 0.002308607 0.02989995 -0.03949993 0 0.032 -0.03519123 0.002308607 0.03206872 -0.03406882 0 0.0322349 -0.03502506 -0.002474844 0.032 -0.03749996 0.003264904 0.0322349 -0.03502506 0.002474844 0.0322349 -0.03399991 0 0.0322349 -0.03749996 0.003499925 0.0322349 -0.0399748 0.002474844 0.03206872 -0.04093116 0 0.032 -0.03749996 -0.003264904 0.0322349 -0.0399748 -0.002474844 0.0322349 -0.04099988 0 0.0322349 -0.03749996 -0.003499925 0.02989995 -0.03914994 0 0.02989995 -0.03749996 -0.001649916 0.02989995 -0.03749996 0.001649916 0.02989995 -0.03584992 0 0.01999998 -0.03584992 0 0.01999998 -0.03749996 0.001649916 0.01999998 -0.03749996 -0.001649916 0.01999998 -0.03914994 0 0.03599995 -0.035308 0.002191901 0.03599995 -0.035308 -0.002191901 0.03599995 -0.03439992 0 0.03559988 -0.03399991 0 0.03559988 -0.03502506 0.002474844 0.03599995 -0.03749996 -0.001731932 0.03599995 -0.03749996 -0.003099918 0.03559988 -0.03502506 -0.002474844 0.03599995 -0.03599995 8.66025e-4 0.03599995 -0.03599995 -8.66025e-4 0.03599995 -0.03899997 -8.66025e-4 0.03599995 -0.03969198 -0.002191901 0.03559988 -0.03749996 -0.003499925 0.03599995 -0.03969198 0.002191901 0.03599995 -0.0406 0 0.03559988 -0.0399748 -0.002474844 0.03559988 -0.04099988 0 0.03599995 -0.03749996 0.001731932 0.03599995 -0.03749996 0.003099918 0.03559988 -0.0399748 0.002474844 0.03599995 -0.03899997 8.66025e-4 0.03559988 -0.03749996 0.003499925 0.03399991 -0.03599995 8.66025e-4 0.03399991 -0.03599995 -8.66025e-4 0.03399991 -0.03749996 0.001731932 0.03399991 -0.03899997 8.66025e-4 0.03399991 -0.03899997 -8.66025e-4 0.03399991 -0.03749996 -0.001731932 0.032 -0.03519123 0.009691238 0.032 -0.03749996 0.01000005 0.032 -0.03549993 0.01199996 0.02989995 -0.03549993 0.01199996 0.032 -0.034235 0.01199996 0.032 -0.03749996 0.01399987 0.02989995 -0.03749996 0.01399987 0.032 -0.04076492 0.01199996 0.032 -0.03949993 0.01199996 0.02989995 -0.03749996 0.01000005 0.032 -0.03980869 0.009691238 0.032 -0.03980869 0.01430869 0.02989995 -0.03949993 0.01199996 0.032 -0.03519123 0.01430869 0.03206872 -0.03406882 0.01199996 0.0322349 -0.03502506 0.00952512 0.032 -0.03749996 0.01526492 0.0322349 -0.03502506 0.0144748 0.0322349 -0.03399991 0.01199996 0.0322349 -0.03749996 0.01549988 0.0322349 -0.0399748 0.0144748 0.03206872 -0.04093116 0.01199996 0.032 -0.03749996 0.008734941 0.0322349 -0.0399748 0.00952512 0.0322349 -0.04099988 0.01199996 0.0322349 -0.03749996 0.008499979 0.02989995 -0.03914994 0.01199996 0.02989995 -0.03749996 0.01034992 0.02989995 -0.03749996 0.01365 0.02989995 -0.03584992 0.01199996 0.01999998 -0.03584992 0.01199996 0.01999998 -0.03749996 0.01365 0.01999998 -0.03749996 0.01034992 0.01999998 -0.03914994 0.01199996 0.03599995 -0.035308 0.01419192 0.03599995 -0.035308 0.009808003 0.03599995 -0.03439992 0.01199996 0.03559988 -0.03399991 0.01199996 0.03559988 -0.03502506 0.0144748 0.03599995 -0.03749996 0.01026791 0.03599995 -0.03749996 0.008899986 0.03559988 -0.03502506 0.00952512 0.03599995 -0.03599995 0.01286602 0.03599995 -0.03599995 0.0111339 0.03599995 -0.03899997 0.0111339 0.03599995 -0.03969198 0.009808003 0.03559988 -0.03749996 0.008499979 0.03599995 -0.03969198 0.01419192 0.03599995 -0.0406 0.01199996 0.03559988 -0.0399748 0.00952512 0.03559988 -0.04099988 0.01199996 0.03599995 -0.03749996 0.01373195 0.03599995 -0.03749996 0.0151 0.03559988 -0.0399748 0.0144748 0.03599995 -0.03899997 0.01286602 0.03559988 -0.03749996 0.01549988 0.03399991 -0.03599995 0.01286602 0.03399991 -0.03599995 0.0111339 0.03399991 -0.03749996 0.01373195 0.03399991 -0.03899997 0.01286602 0.03399991 -0.03899997 0.0111339 0.03399991 -0.03749996 0.01026791 -0.032 -0.03519123 -0.009691238 -0.032 -0.03749996 -0.01000005 -0.032 -0.03549993 -0.01199996 -0.02989995 -0.03549993 -0.01199996 -0.032 -0.034235 -0.01199996 -0.032 -0.03749996 -0.01399987 -0.02989995 -0.03749996 -0.01399987 -0.032 -0.04076492 -0.01199996 -0.032 -0.03949993 -0.01199996 -0.02989995 -0.03749996 -0.01000005 -0.032 -0.03980869 -0.009691238 -0.032 -0.03980869 -0.01430869 -0.02989995 -0.03949993 -0.01199996 -0.032 -0.03519123 -0.01430869 -0.03206872 -0.03406882 -0.01199996 -0.0322349 -0.03502506 -0.00952512 -0.032 -0.03749996 -0.01526492 -0.0322349 -0.03502506 -0.0144748 -0.0322349 -0.03399991 -0.01199996 -0.0322349 -0.03749996 -0.01549988 -0.0322349 -0.0399748 -0.0144748 -0.03206872 -0.04093116 -0.01199996 -0.032 -0.03749996 -0.008734941 -0.0322349 -0.0399748 -0.00952512 -0.0322349 -0.04099988 -0.01199996 -0.0322349 -0.03749996 -0.008499979 -0.02989995 -0.03914994 -0.01199996 -0.02989995 -0.03749996 -0.01034992 -0.02989995 -0.03749996 -0.01365 -0.02989995 -0.03584992 -0.01199996 -0.01999998 -0.03584992 -0.01199996 -0.01999998 -0.03749996 -0.01365 -0.01999998 -0.03749996 -0.01034992 -0.01999998 -0.03914994 -0.01199996 -0.03599995 -0.035308 -0.01419192 -0.03599995 -0.035308 -0.009808003 -0.03599995 -0.03439992 -0.01199996 -0.03559988 -0.03399991 -0.01199996 -0.03559988 -0.03502506 -0.0144748 -0.03599995 -0.03749996 -0.01026791 -0.03599995 -0.03749996 -0.008899986 -0.03559988 -0.03502506 -0.00952512 -0.03599995 -0.03599995 -0.01286602 -0.03599995 -0.03599995 -0.0111339 -0.03599995 -0.03899997 -0.0111339 -0.03599995 -0.03969198 -0.009808003 -0.03559988 -0.03749996 -0.008499979 -0.03599995 -0.03969198 -0.01419192 -0.03599995 -0.0406 -0.01199996 -0.03559988 -0.0399748 -0.00952512 -0.03559988 -0.04099988 -0.01199996 -0.03599995 -0.03749996 -0.01373195 -0.03599995 -0.03749996 -0.0151 -0.03559988 -0.0399748 -0.0144748 -0.03599995 -0.03899997 -0.01286602 -0.03559988 -0.03749996 -0.01549988 -0.03399991 -0.03599995 -0.01286602 -0.03399991 -0.03599995 -0.0111339 -0.03399991 -0.03749996 -0.01373195 -0.03399991 -0.03899997 -0.01286602 -0.03399991 -0.03899997 -0.0111339 -0.03399991 -0.03749996 -0.01026791 -0.003487825 0.02054166 0.0349999 -4.80722e-5 0.0185002 0.0349999 0.003439784 0.02045845 0.0349999 0.003439784 0.02045845 0.03469991 -7.36658e-4 0.02125871 0.0349999 0.001443207 0.02248263 0.0349999 0.003487825 0.02445816 0.0349999 0.003487825 0.02445816 0.03469991 7.06613e-4 0.0212413 0.0349999 -4.80722e-5 0.0185002 0.03469991 -0.001443207 0.02251732 0.0349999 -0.003439784 0.02454137 0.0349999 -0.003487825 0.02054166 0.03469991 4.80722e-5 0.02649962 0.0349999 -0.003439784 0.02454137 0.03469991 7.36658e-4 0.02374118 0.0349999 -7.06613e-4 0.02375853 0.0349999 4.80722e-5 0.02649962 0.03469991 0.001443207 0.02248263 0.0331999 7.06613e-4 0.0212413 0.0331999 7.36658e-4 0.02374118 0.0331999 -7.06613e-4 0.02375853 0.0331999 -0.001443207 0.02251732 0.0331999 -7.36658e-4 0.02125871 0.0331999 -0.001719892 0.02352064 0.0327 -0.001937866 0.02200555 0.0327 0.001020669 0.02421987 0.0327 -4.94384e-4 0.0244379 0.0327 0.001937866 0.02299427 0.0327 0.001719892 0.02147918 0.0327 -0.001719892 0.02352064 0.03059995 -0.001020669 0.02078008 0.03059995 0.001020669 0.02421987 0.03059995 0.001719892 0.02147918 0.03059995 4.94384e-4 0.02056205 0.0327 -0.001418828 0.02334207 0.03059995 -8.4209e-4 0.02108103 0.03059995 8.4209e-4 0.0239188 0.03059995 0.001418828 0.02165788 0.03059995 -0.001020669 0.02078008 0.0327 0.001418828 0.02165788 0.023 8.4209e-4 0.0239188 0.023 -8.4209e-4 0.02108103 0.023 -0.001418828 0.02334207 0.023 -0.02054166 -0.003487825 0.0349999 -0.0185002 -4.80722e-5 0.0349999 -0.02045845 0.003439784 0.0349999 -0.02045845 0.003439784 0.03469991 -0.02125871 -7.36658e-4 0.0349999 -0.02248263 0.001443207 0.0349999 -0.02445816 0.003487825 0.0349999 -0.02445816 0.003487825 0.03469991 -0.0212413 7.06613e-4 0.0349999 -0.0185002 -4.80722e-5 0.03469991 -0.02251732 -0.001443207 0.0349999 -0.02454137 -0.003439784 0.0349999 -0.02054166 -0.003487825 0.03469991 -0.02649962 4.80722e-5 0.0349999 -0.02454137 -0.003439784 0.03469991 -0.02374118 7.36658e-4 0.0349999 -0.02375853 -7.06613e-4 0.0349999 -0.02649962 4.80722e-5 0.03469991 -0.02248263 0.001443207 0.0331999 -0.0212413 7.06613e-4 0.0331999 -0.02374118 7.36658e-4 0.0331999 -0.02375853 -7.06613e-4 0.0331999 -0.02251732 -0.001443207 0.0331999 -0.02125871 -7.36658e-4 0.0331999 -0.02352064 -0.001719892 0.0327 -0.02200555 -0.001937866 0.0327 -0.02421987 0.001020669 0.0327 -0.0244379 -4.94384e-4 0.0327 -0.02299427 0.001937866 0.0327 -0.02147918 0.001719892 0.0327 -0.02352064 -0.001719892 0.03059995 -0.02078008 -0.001020669 0.03059995 -0.02421987 0.001020669 0.03059995 -0.02147918 0.001719892 0.03059995 -0.02056205 4.94384e-4 0.0327 -0.02334207 -0.001418828 0.03059995 -0.02108103 -8.4209e-4 0.03059995 -0.0239188 8.4209e-4 0.03059995 -0.02165788 0.001418828 0.03059995 -0.02078008 -0.001020669 0.0327 -0.02165788 0.001418828 0.023 -0.0239188 8.4209e-4 0.023 -0.02108103 -8.4209e-4 0.023 -0.02334207 -0.001418828 0.023 0.003487825 -0.02054166 0.0349999 4.80722e-5 -0.0185002 0.0349999 -0.003439784 -0.02045845 0.0349999 -0.003439784 -0.02045845 0.03469991 7.36658e-4 -0.02125871 0.0349999 -0.001443207 -0.02248263 0.0349999 -0.003487825 -0.02445816 0.0349999 -0.003487825 -0.02445816 0.03469991 -7.06613e-4 -0.0212413 0.0349999 4.80722e-5 -0.0185002 0.03469991 0.001443207 -0.02251732 0.0349999 0.003439784 -0.02454137 0.0349999 0.003487825 -0.02054166 0.03469991 -4.80722e-5 -0.02649962 0.0349999 0.003439784 -0.02454137 0.03469991 -7.36658e-4 -0.02374118 0.0349999 7.06613e-4 -0.02375853 0.0349999 -4.80722e-5 -0.02649962 0.03469991 -0.001443207 -0.02248263 0.0331999 -7.06613e-4 -0.0212413 0.0331999 -7.36658e-4 -0.02374118 0.0331999 7.06613e-4 -0.02375853 0.0331999 0.001443207 -0.02251732 0.0331999 7.36658e-4 -0.02125871 0.0331999 0.001719892 -0.02352064 0.0327 0.001937866 -0.02200555 0.0327 -0.001020669 -0.02421987 0.0327 4.94384e-4 -0.0244379 0.0327 -0.001937866 -0.02299427 0.0327 -0.001719892 -0.02147918 0.0327 0.001719892 -0.02352064 0.03059995 0.001020669 -0.02078008 0.03059995 -0.001020669 -0.02421987 0.03059995 -0.001719892 -0.02147918 0.03059995 -4.94384e-4 -0.02056205 0.0327 0.001418828 -0.02334207 0.03059995 8.4209e-4 -0.02108103 0.03059995 -8.4209e-4 -0.0239188 0.03059995 -0.001418828 -0.02165788 0.03059995 0.001020669 -0.02078008 0.0327 -0.001418828 -0.02165788 0.023 -8.4209e-4 -0.0239188 0.023 8.4209e-4 -0.02108103 0.023 0.001418828 -0.02334207 0.023 0.02054166 0.003487825 0.0349999 0.0185002 4.80722e-5 0.0349999 0.02045845 -0.003439784 0.0349999 0.02045845 -0.003439784 0.03469991 0.02125871 7.36658e-4 0.0349999 0.02248263 -0.001443207 0.0349999 0.02445816 -0.003487825 0.0349999 0.02445816 -0.003487825 0.03469991 0.0212413 -7.06613e-4 0.0349999 0.0185002 4.80722e-5 0.03469991 0.02251732 0.001443207 0.0349999 0.02454137 0.003439784 0.0349999 0.02054166 0.003487825 0.03469991 0.02649962 -4.80722e-5 0.0349999 0.02454137 0.003439784 0.03469991 0.02374118 -7.36658e-4 0.0349999 0.02375853 7.06613e-4 0.0349999 0.02649962 -4.80722e-5 0.03469991 0.02248263 -0.001443207 0.0331999 0.0212413 -7.06613e-4 0.0331999 0.02374118 -7.36658e-4 0.0331999 0.02375853 7.06613e-4 0.0331999 0.02251732 0.001443207 0.0331999 0.02125871 7.36658e-4 0.0331999 0.02352064 0.001719892 0.0327 0.02200555 0.001937866 0.0327 0.02421987 -0.001020669 0.0327 0.0244379 4.94384e-4 0.0327 0.02299427 -0.001937866 0.0327 0.02147918 -0.001719892 0.0327 0.02352064 0.001719892 0.03059995 0.02078008 0.001020669 0.03059995 0.02421987 -0.001020669 0.03059995 0.02147918 -0.001719892 0.03059995 0.02056205 -4.94384e-4 0.0327 0.02334207 0.001418828 0.03059995 0.02108103 8.4209e-4 0.03059995 0.0239188 -8.4209e-4 0.03059995 0.02165788 -0.001418828 0.03059995 0.02078008 0.001020669 0.0327 0.02165788 -0.001418828 0.023 0.0239188 -8.4209e-4 0.023 0.02108103 8.4209e-4 0.023 0.02334207 0.001418828 0.023 -0.005546629 -0.02999126 0.05429995 -0.001159965 -0.03142297 0.05429995 0.003167808 -0.03258216 0.05429995 0.001520276 -0.03422963 0.05197 0.006215393 -0.03841906 0.05429995 0.004326939 -0.03690999 0.05429995 0.002076685 -0.03630644 0.05197 0.008417487 -0.03756844 0.05429995 0.01080793 -0.02852064 0.05429995 -0.004326939 -0.03458982 0.05429995 -5.56461e-4 -0.03367316 0.05197 -0.02029109 -0.02277064 0.05429995 -0.003167808 -0.03891777 0.05429995 -0.002076685 -0.0351935 0.05197 0 -0.04174995 0.05429995 0.001159965 -0.04007697 0.05429995 -0.001520276 -0.03727018 0.05197 -0.004357099 -0.03987497 0.05429995 -0.03987497 -0.004357099 0.05429995 0.004357099 -0.03987497 0.05429995 5.56461e-4 -0.03782665 0.05197 -0.02957361 0.00745964 0.05429995 -0.03142297 0.001159965 0.05429995 -0.03258216 -0.003167808 0.05429995 -0.03422963 -0.001520276 0.05197 -0.02915573 -0.008954107 0.05429995 -0.03690999 -0.004326939 0.05429995 -0.03630644 -0.002076685 0.05197 -0.03458982 0.004326939 0.05429995 -0.03367316 5.56461e-4 0.05197 -0.03987497 0.004357099 0.05429995 -0.03891777 0.003167808 0.05429995 -0.0351935 0.002076685 0.05197 -0.03841906 0.006215393 0.05429995 -0.03756844 0.008417487 0.05429995 -0.03111881 0.007184326 0.05429995 -0.0303176 0.00716418 0.05429995 -0.04174995 0 0.05429995 -0.04007697 -0.001159965 0.05429995 -0.03727018 0.001520276 0.05197 -0.03782665 -5.56461e-4 0.05197 0.001657426 0.03045469 0.05429995 0.001159965 0.03142297 0.05429995 -0.003167808 0.03258216 0.05429995 -0.001520276 0.03422963 0.05197 -0.006215393 0.03841906 0.05429995 -0.004326939 0.03690999 0.05429995 -0.002076685 0.03630644 0.05197 -0.008417487 0.03756844 0.05429995 -0.008313834 0.03618454 0.05429995 -0.00847584 0.03380537 0.05429995 0.01720422 0.02518421 0.05429995 0.004326939 0.03458982 0.05429995 5.56461e-4 0.03367316 0.05197 0.003167808 0.03891777 0.05429995 0.002076685 0.0351935 0.05197 -3.15513e-7 0.04174983 0.05429995 -0.001159965 0.04007697 0.05429995 0.001520276 0.03727018 0.05197 0.004357099 0.03987497 0.05429995 0.03987497 0.004357099 0.05429995 -0.004357099 0.03987497 0.05429995 -5.56461e-4 0.03782665 0.05197 0.03028541 -0.003609776 0.05429995 0.03142297 -0.001159965 0.05429995 0.03258216 0.003167808 0.05429995 0.03422963 0.001520276 0.05197 0.02776807 0.01261669 0.05429995 0.03690999 0.004326939 0.05429995 0.03630644 0.002076685 0.05197 0.03458982 -0.004326939 0.05429995 0.03367316 -5.56461e-4 0.05197 0.03987497 -0.004357099 0.05429995 0.03891777 -0.003167808 0.05429995 0.0351935 -0.002076685 0.05197 0.03841906 -0.006215393 0.05429995 0.03756844 -0.008417487 0.05429995 0.04174995 0 0.05429995 0.04007697 0.001159965 0.05429995 0.03727018 -0.001520276 0.05197 0.03782665 5.56461e-4 0.05197 -0.008417487 0.03756844 0.04679989 -0.009484589 0.0373134 0.05429995 -0.02164375 0.0318399 0.04679989 -0.006215393 0.03841906 0.04679989 -0.004357099 0.03987497 0.04679989 -4.25212e-7 0.04174977 0.04679989 0.03841906 0.006215393 0.05429995 0.006215393 0.03841906 0.05429995 0.004357099 0.03987497 0.04679989 0.03756844 0.008417487 0.05429995 0.008417487 0.03756844 0.05429995 0.006215393 0.03841906 0.04679989 0.03184002 0.02164381 0.05429995 0.02164512 0.03183919 0.05429995 0.008417487 0.03756844 0.04679989 0.0222333 0.03143119 0.03705388 0.0140981 0.03582578 0.04679989 0.01944184 0.03323042 0.04679989 0.02068829 0.03246909 0.04620862 0.02118623 0.03214639 0.04479998 0.02118623 0.03214639 0.03829991 0.03246909 0.02068829 0.04620862 0.02722334 0.02722334 0.03579998 0.02325689 0.03068161 0.03579998 0.03068161 0.02325689 0.03579998 0.0314328 0.0222311 0.03705662 0.03214639 0.02118623 0.04479998 0.03756844 0.008417487 0.04679989 0.03582578 0.01409798 0.04679989 0.03323042 0.01944184 0.04679989 0.03841906 0.006215393 0.04679989 0.03987497 0.004357099 0.04679989 0.04174995 0 0.04679989 0.03987497 -0.004357099 0.04679989 0.03841906 -0.006215393 0.04679989 0.03183954 -0.02164453 0.05429995 0.03756844 -0.008417487 0.04679989 0.02402698 -0.01878643 0.05429995 0.02164441 -0.0318396 0.05429995 0.03183954 -0.02164453 0.04679989 0.02164441 -0.0318396 0.04679989 0.008417487 -0.03756844 0.04679989 0.006215393 -0.03841906 0.04679989 0.004357099 -0.03987497 0.04679989 0 -0.04174995 0.04679989 -0.03841906 -0.006215393 0.05429995 -0.006215393 -0.03841906 0.05429995 -0.004357099 -0.03987497 0.04679989 -0.03756844 -0.008417487 0.05429995 -0.008417487 -0.03756844 0.05429995 -0.006215393 -0.03841906 0.04679989 -0.03183966 -0.02164441 0.05429995 -0.02164453 -0.0318396 0.05429995 -0.008417487 -0.03756844 0.04679989 -0.02223348 -0.03143113 0.0370537 -0.01409792 -0.03582584 0.04679989 -0.01944184 -0.03323042 0.04679989 -0.02068829 -0.03246909 0.04620862 -0.02118623 -0.03214639 0.04479998 -0.02118623 -0.03214639 0.03829991 -0.03246909 -0.02068829 0.04620862 -0.02722334 -0.02722334 0.03579998 -0.02325689 -0.03068161 0.03579998 -0.03068161 -0.02325689 0.03579998 -0.03143286 -0.02223098 0.03705674 -0.03214639 -0.02118623 0.04479998 -0.03756844 -0.008417487 0.04679989 -0.03582578 -0.01409804 0.04679989 -0.03323042 -0.01944184 0.04679989 -0.03841906 -0.006215393 0.04679989 -0.03987497 -0.004357099 0.04679989 -0.04174995 0 0.04679989 -0.03987497 0.004357099 0.04679989 -0.03841906 0.006215393 0.04679989 -0.03678566 0.009134113 0.05429995 -0.03729289 0.009564757 0.05429995 -0.03756844 0.008417487 0.04679989 -0.03551101 0.00819832 0.05429995 -0.03698223 0.01070302 0.05429995 -0.03698223 0.01070302 0.06279999 -0.03183919 0.02164494 0.04679989 -0.03135985 0.02233362 0.06279999 -0.03678566 0.009134113 0.06279999 -0.03111881 0.007184326 0.06279999 -0.03551101 0.00819832 0.06279999 -0.0296626 0.007404685 0.06279999 -0.02999353 6.22483e-4 0.05379992 -0.02904808 0.007961452 0.05391931 -0.0260837 -0.01481997 0.05379992 -0.02908229 -0.007363021 0.05379992 -0.007764697 -0.02897769 0.05379992 -0.02121317 -0.02121317 0.05379992 0.007764458 -0.02897775 0.05379992 0.02121317 -0.02121317 0.05379992 0.02897775 -0.007764458 0.05379992 0.02897769 0.007764697 0.05379992 0.02121317 0.02121317 0.05379992 0.01015114 0.02823024 0.05379992 -0.01437252 0.02690124 0.05429995 -0.002855837 0.02986371 0.05379992 -0.01531761 0.02579474 0.06279999 -0.01484638 0.0263465 0.05404156 -0.00847584 0.03380537 0.06279999 -0.01054435 0.03702777 0.05429995 -0.008313834 0.03618454 0.06279999 -0.01054435 0.03702777 0.06279999 0.03422963 0.001520276 0.04679989 0.03299134 -7.51713e-4 0.04679989 0.02918708 0.0153985 0.04679989 0.03187513 0.008540928 0.05199992 0.02846813 0.01669025 0.04620653 0.02857947 0.01649832 0.05199992 0.02845281 -0.01671636 0.04679989 0.03187555 -0.008540987 0.05199992 0.0351935 -0.002076685 0.04679989 0.03367316 -5.56461e-4 0.04679989 0.03299975 1.72874e-6 0.05199992 0.01671588 -0.02845305 0.04679989 0.0233342 -0.0233342 0.05199992 0.02857774 -0.0165013 0.05199992 0.001520276 -0.03422963 0.04679989 7.51367e-4 -0.03299134 0.04679989 0.0165013 -0.02857774 0.05199992 5.56461e-4 -0.03782665 0.04679989 0.002076685 -0.03630644 0.04679989 -0.0153985 -0.02918708 0.04679989 -1.72874e-6 -0.03299975 0.05199992 -5.56461e-4 -0.03367316 0.04679989 0.008540987 -0.03187555 0.05199992 -0.01669025 -0.02846813 0.04620653 -0.008540928 -0.03187513 0.05199992 -0.01649832 -0.02857947 0.05199992 -0.002076685 -0.0351935 0.04679989 -0.001520276 -0.03727018 0.04679989 0.03727018 -0.001520276 0.04679989 0.03782665 5.56461e-4 0.04679989 0.03630644 0.002076685 0.04679989 -0.03630644 -0.002076685 0.04679989 -0.03422963 -0.001520276 0.04679989 -0.03299134 7.51367e-4 0.04679989 -0.03367316 5.56461e-4 0.04679989 -0.02918708 -0.0153985 0.04679989 -0.03782665 -5.56461e-4 0.04679989 -0.03727018 0.001520276 0.04679989 -0.0351935 0.002076685 0.04679989 -0.01671636 0.02845281 0.04679989 -0.002076685 0.03630644 0.04679989 -0.001520276 0.03422963 0.04679989 -7.51713e-4 0.03299134 0.04679989 5.56461e-4 0.03367316 0.04679989 -5.56461e-4 0.03782665 0.04679989 0.001520276 0.03727018 0.04679989 0.002076685 0.0351935 0.04679989 -0.02220404 0.03145176 0.06279999 -0.02845305 0.01671588 0.04679989 -0.02846807 -0.01669025 0.04620653 -0.03187513 -0.008540928 0.05199992 -0.0233345 -0.0233345 0.05199992 -0.02816194 -0.01720178 0.04679989 -0.03187555 0.008540987 0.05199992 -0.0233342 0.0233342 0.05199992 -0.008540987 0.03187555 0.05199992 0.0153985 0.02918708 0.04679989 0.008540928 0.03187513 0.05199992 0.01669025 0.02846807 0.04620653 0.01932495 0.02674961 0.03579998 0.0233342 0.0233342 0.03579998 0.03214639 0.02118623 0.03829991 0.02674961 0.01932495 0.03579998 0.02816194 0.01720178 0.03829991 0.02747803 0.0182743 0.03705793 0.02816194 0.01720178 0.04479998 0.01720178 0.02816194 0.04479998 0.01827424 0.02747809 0.03705805 0.01720178 0.02816194 0.03829991 -0.01932495 -0.02674961 0.03579998 -0.0233342 -0.0233342 0.03579998 -0.03214639 -0.02118623 0.03829991 -0.02674961 -0.01932495 0.03579998 -0.02816194 -0.01720178 0.03829991 -0.02747815 -0.01827412 0.03705823 -0.02816194 -0.01720178 0.04479998 -0.01720178 -0.02816194 0.04479998 -0.01827448 -0.02747792 0.03705775 -0.01720178 -0.02816194 0.03829991 -0.02366298 0.01844006 0.06279999 -0.02875208 0.008562266 0.06279999 0.02897781 0.007763445 0.05199992 0.02121317 0.02121317 0.05199992 0.02897781 -0.007763445 0.05199992 0.02121317 -0.02121317 0.05199992 0.007763445 -0.02897781 0.05199992 -0.007763445 -0.02897781 0.05199992 -0.02121317 -0.02121317 0.05199992 -0.02897781 -0.007763445 0.05199992 0.007763445 0.02897781 0.05199992 0.0233345 0.0233345 0.05199992 -0.02121317 0.02121317 0.05199992 -0.02875208 0.008562266 0.05379992 -0.02897781 0.007763445 0.05199992 -0.01531761 0.02579474 0.05379992 -0.007763445 0.02897781 0.05199992 0.0233345 0.0233345 0.04679989 0.02041137 0.02593016 0.04679989 0.01720178 0.02816194 0.04679989 -0.0233345 -0.0233345 0.04679989 -0.02593016 -0.02041137 0.04679989 -0.0287351 -0.1385 0.01295644 -0.02798056 -0.1385 0.0165162 -0.03240257 -0.1385 1.53623e-5 -0.03240257 -0.125 1.53623e-5 -0.02793097 -0.1385 -5.28158e-4 -0.02798056 -0.1385 -0.01648551 -0.02798056 -0.125 -0.01648551 -0.02738744 -0.1385 0.001500189 -0.0238853 -0.1385 0.004556417 -0.0287351 -0.1385 0.007356405 -0.01082199 -0.1385 0.02616417 -0.01590347 -0.1385 0.02859336 -0.02798056 -0.125 0.0165162 -0.01995944 -0.1385 0.01770365 -0.01814085 -0.1385 0.01665359 -0.0238853 -0.1385 0.01575636 -0.01995944 -0.1385 0.01980364 -0.01814085 -0.1385 0.02085357 -0.01162564 -0.1385 0.02422404 0.007938504 -0.1385 0.02934783 5.97426e-4 -0.1385 0.03301531 -0.01590347 -0.125 0.02859336 5.3906e-5 -0.1385 0.02854377 0.01353847 -0.1385 0.02934783 0.01709824 -0.1385 0.02859336 5.97426e-4 -0.125 0.03301531 0.02143567 -0.1385 0.01875358 0.0291754 -0.1385 0.0165162 0.01709824 -0.125 0.02859336 0.02038574 -0.1385 0.0205723 0.01828575 -0.1385 0.0205723 0.01633846 -0.1385 0.02449816 0.0291258 -0.1385 5.58882e-4 0.03359735 -0.1385 1.53623e-5 0.0291754 -0.125 0.0165162 0.02038574 -0.1385 0.01693499 0.01088356 -0.1385 0.01417315 0.02674627 -0.1385 0.01143485 0.02702033 -0.1385 0.009352803 0.02764087 -0.1385 0.002043724 0.02480608 -0.1385 0.0122385 0.02992993 -0.1385 -0.01292574 0.0291754 -0.1385 -0.01648551 0.03359735 -0.125 1.53623e-5 0.02858233 -0.1385 -0.001469552 0.0250802 -0.1385 -0.004525721 0.02992993 -0.1385 -0.007325649 0.01201689 -0.1385 -0.02613341 0.01709824 -0.1385 -0.02856266 0.0291754 -0.125 -0.01648551 0.0211544 -0.1385 -0.01767295 0.01933568 -0.1385 -0.01662296 0.0250802 -0.1385 -0.01572573 0.0211544 -0.1385 -0.01977288 0.01933568 -0.1385 -0.02082294 0.01282054 -0.1385 -0.02419334 -0.006743669 -0.1385 -0.02931714 5.97426e-4 -0.1385 -0.03298461 0.01709824 -0.125 -0.02856266 0.001140892 -0.1385 -0.02851307 -0.01234364 -0.1385 -0.02931714 -0.01590347 -0.1385 -0.02856266 5.97426e-4 -0.125 -0.03298461 -0.0202409 -0.1385 -0.01872295 -0.01590347 -0.125 -0.02856266 -0.01919084 -0.1385 -0.02054154 -0.01709079 -0.1385 -0.02054154 -0.01514363 -0.1385 -0.02446734 -0.01919084 -0.1385 -0.01690429 -0.009688794 -0.1385 -0.01414239 -0.02555131 -0.1385 -0.01140403 -0.0258255 -0.1385 -0.009322106 -0.02644604 -0.1385 -0.002012968 -0.02361118 -0.1385 -0.01220768 5.97426e-4 -0.1385 -0.0174846 -0.01709079 -0.1385 -0.01690429 -0.01604086 -0.1385 -0.01872295 -0.01604086 -0.1335 -0.01872295 -0.01234364 -0.1385 -0.01961761 -0.01709079 -0.1335 -0.02054154 0.01751703 -0.1385 -0.01767295 -0.01709079 -0.1335 -0.01690429 -0.01919084 -0.1335 -0.01690429 -0.0202409 -0.1335 -0.01872295 -0.01919084 -0.1335 -0.02054154 -0.01604598 -0.1385 -0.005392432 -0.0222193 -0.1385 -0.008847296 -0.02194517 -0.1385 -0.01092928 -0.02194517 -0.1335 -0.01092928 -0.02361118 -0.1335 -0.01220768 -0.02415949 -0.1385 -0.008043706 -0.0222193 -0.1335 -0.008847296 -0.02415949 -0.1335 -0.008043706 -0.0258255 -0.1335 -0.009322106 -0.02555131 -0.1335 -0.01140403 -0.01604598 -0.1385 0.005423128 -0.0238741 -0.1385 5.58882e-4 -0.02441757 -0.1385 -0.001469552 -0.02441757 -0.1335 -0.001469552 -0.02644604 -0.1335 -0.002012968 -0.02535903 -0.1385 0.002043724 -0.0238741 -0.1335 5.58882e-4 -0.02535903 -0.1335 0.002043724 -0.02738744 -0.1335 0.001500189 -0.02793097 -0.1335 -5.28158e-4 5.97426e-4 -0.1385 0.01751536 -0.01632225 -0.1385 0.01770365 -0.01814085 -0.1335 0.01665359 -0.01995944 -0.1335 0.01770365 0.007938504 -0.1385 0.01964843 -0.01632225 -0.1385 0.01980364 -0.01632225 -0.1335 0.01770365 0.01723575 -0.1385 0.01875358 0.01353847 -0.1385 0.01964843 0.005138516 -0.1385 0.02449816 -0.01632225 -0.1335 0.01980364 -0.01814085 -0.1335 0.02085357 -0.01034724 -0.1385 0.02255797 -0.01995944 -0.1335 0.01980364 -0.008265256 -0.1385 0.02283209 -0.01034724 -0.1335 0.02255797 -0.01162564 -0.1335 0.02422404 0.001140892 -0.1385 0.02448683 -0.007461607 -0.1385 0.02477216 -0.008265256 -0.1335 0.02283209 -8.87498e-4 -0.1385 0.02503043 -0.008740007 -0.1385 0.02643829 -0.007461607 -0.1335 0.02477216 -0.008740007 -0.1335 0.02643829 -0.001430988 -0.1385 0.02705878 -0.01082199 -0.1335 0.02616417 -8.87498e-4 -0.1335 0.02503043 -0.001430988 -0.1335 0.02705878 0.002625823 -0.1385 0.02597177 0.001140892 -0.1335 0.02448683 0.002082288 -0.1385 0.02800023 0.002625823 -0.1335 0.02597177 0.002082288 -0.1335 0.02800023 5.3906e-5 -0.1335 0.02854377 0.01828575 -0.1385 0.01693499 0.01723575 -0.1335 0.01875358 0.01828575 -0.1335 0.0205723 0.01828575 -0.1335 0.01693499 0.02038574 -0.1335 0.01693499 0.02143567 -0.1335 0.01875358 0.02038574 -0.1335 0.0205723 0.01724088 -0.1385 0.005423128 0.02341419 -0.1385 0.008878052 0.02314007 -0.1385 0.0109601 0.02314007 -0.1335 0.0109601 0.02480608 -0.1335 0.0122385 0.02535432 -0.1385 0.008074402 0.02341419 -0.1335 0.008878052 0.02535432 -0.1335 0.008074402 0.02702033 -0.1335 0.009352803 0.02674627 -0.1335 0.01143485 0.01724088 -0.1385 -0.005392432 0.02506887 -0.1385 -5.28158e-4 0.02561247 -0.1385 0.001500189 0.02561247 -0.1335 0.001500189 0.02764087 -0.1335 0.002043724 0.0265538 -0.1385 -0.002012968 0.02506887 -0.1335 -5.28158e-4 0.0265538 -0.1335 -0.002012968 0.02858233 -0.1335 -0.001469552 0.0291258 -0.1335 5.58882e-4 0.01933568 -0.1335 -0.01662296 0.0211544 -0.1335 -0.01767295 -0.006743669 -0.1385 -0.01961761 0.01751703 -0.1385 -0.01977288 0.01751703 -0.1335 -0.01767295 -0.003943622 -0.1385 -0.02446734 0.01751703 -0.1335 -0.01977288 0.01933568 -0.1335 -0.02082294 0.01154214 -0.1385 -0.02252721 0.0211544 -0.1335 -0.01977288 0.009460091 -0.1385 -0.02280133 0.01154214 -0.1335 -0.02252721 0.01282054 -0.1335 -0.02419334 5.3906e-5 -0.1385 -0.02445614 0.008656501 -0.1385 -0.02474153 0.009460091 -0.1335 -0.02280133 0.002082288 -0.1385 -0.02499961 0.009934902 -0.1385 -0.02640748 0.008656501 -0.1335 -0.02474153 0.009934902 -0.1335 -0.02640748 0.002625823 -0.1385 -0.02702814 0.01201689 -0.1335 -0.02613341 0.002082288 -0.1335 -0.02499961 0.002625823 -0.1335 -0.02702814 -0.001430988 -0.1385 -0.02594107 5.3906e-5 -0.1335 -0.02445614 -8.87498e-4 -0.1385 -0.02796947 -0.001430988 -0.1335 -0.02594107 -8.87498e-4 -0.1335 -0.02796947 0.001140892 -0.1335 -0.02851307 -0.009688794 -0.1385 0.01417315 5.97426e-4 -0.1335 0.01751536 0.01088356 -0.1335 0.01417315 -0.01903557 -0.1385 0.007356405 -0.009688794 -0.1335 0.01417315 -0.01903557 -0.1385 0.01295644 -0.01604598 -0.1335 0.005423128 -0.01604598 -0.1335 -0.005392432 -0.009688794 -0.1335 -0.01414239 0.01088356 -0.1385 -0.01414239 5.97426e-4 -0.1335 -0.0174846 0.02023047 -0.1385 -0.007325649 0.01088356 -0.1335 -0.01414239 0.02023047 -0.1385 -0.01292574 0.01724088 -0.1335 -0.005392432 0.01724088 -0.1335 0.005423128 0.008088529 -0.13555 0.02449816 0.00941348 -0.13555 0.02679312 0.00941348 -0.13555 0.02220314 0.0120635 -0.13555 0.02220314 0.01338851 -0.13555 0.02449816 0.0120635 -0.13555 0.02679312 0.0250802 -0.13555 -0.007475674 0.02737516 -0.13555 -0.008800745 0.02278524 -0.13555 -0.008800745 0.02278524 -0.13555 -0.01145064 0.0250802 -0.13555 -0.01277565 0.02737516 -0.13555 -0.01145064 -0.006893575 -0.13555 -0.02446734 -0.008218646 -0.13555 -0.02676236 -0.008218646 -0.13555 -0.02217245 -0.0108686 -0.13555 -0.02217245 -0.01219362 -0.13555 -0.02446734 -0.0108686 -0.13555 -0.02676236 -0.0238853 -0.13555 0.00750643 -0.02618026 -0.13555 0.008831441 -0.02159041 -0.13555 0.008831441 -0.02159041 -0.13555 0.01148146 -0.0238853 -0.13555 0.01280641 -0.02618026 -0.13555 0.01148146 -0.02581572 -0.125 -0.01523548 -0.02990251 -0.125 1.53623e-5 -0.01465159 -0.125 -0.02639859 5.97428e-4 -0.125 -0.03048431 0.01584655 -0.125 -0.02639859 0.03109741 -0.125 1.53623e-5 0.02701056 -0.125 -0.01523548 0.02701056 -0.125 0.01526618 0.01584655 -0.125 0.02642941 5.97424e-4 -0.125 0.03051507 -0.01465159 -0.125 0.02642941 -0.02581572 -0.125 0.01526618 0.03059732 -0.1255 1.53623e-5 0.02657818 -0.1255 0.01501524 0.02657818 -0.1255 -0.01498442 0.01559746 -0.1255 -0.02596533 5.97428e-4 -0.1255 -0.02998459 -0.01440256 -0.1255 -0.02596533 -0.02538335 -0.1255 -0.01498442 -0.02940255 -0.1255 1.53623e-5 -0.02538335 -0.1255 0.01501524 -0.01440256 -0.1255 0.02599602 5.97424e-4 -0.1255 0.03001528 0.01559746 -0.1255 0.02599602 -0.02538251 -0.1335 -0.01498544 -0.02940255 -0.1335 1.53623e-5 -0.0261799 -0.1335 0.01148176 -0.02538251 -0.1335 0.01501607 -0.01440334 -0.1335 -0.02596455 -0.0108689 -0.1335 -0.02676194 5.97426e-4 -0.1335 -0.02998459 -0.01219362 -0.1335 -0.02446734 0.01559817 -0.1335 -0.02596455 0.02657741 -0.1335 -0.01498544 0.0273748 -0.1335 -0.011451 0.03059732 -0.1335 1.53623e-5 0.0250802 -0.1335 -0.01277565 0.02657741 -0.1335 0.01501607 0.01559817 -0.1335 0.02599537 0.0120638 -0.1335 0.02679276 5.97426e-4 -0.1335 0.03001528 0.01338851 -0.1335 0.02449816 -0.01440334 -0.1335 0.02599537 -0.0238853 -0.1335 0.01280641 -0.008218348 -0.1335 -0.02217274 -0.0108689 -0.1335 -0.02217274 -0.0261799 -0.1335 0.008831143 -0.0238853 -0.1335 0.00750643 0.009413182 -0.1335 0.02220356 0.009413182 -0.1335 0.02679276 0.008088529 -0.1335 0.02449816 0.0120638 -0.1335 0.02220356 0.0273748 -0.1335 -0.008800387 0.0250802 -0.1335 -0.007475674 -0.008218348 -0.1335 -0.02676194 -0.006893575 -0.1335 -0.02446734 0.0227856 -0.1335 -0.011451 0.0227856 -0.1335 -0.008800387 -0.0215907 -0.1335 0.01148176 -0.0215907 -0.1335 0.008831143 0.03539478 0.01238691 0.03099989 0.01580297 0.002501726 0.03099989 0.01131361 0.01131361 0.03099989 0.01131361 0.01131361 0.03399991 0.02651643 0.02651643 0.03099989 0.002501726 0.01580297 0.03099989 0.00612545 0.01478093 0.03399991 0.01994019 6.8587e-4 0.03099989 0.01425558 -0.007264137 0.03099989 0.01425665 -0.007262468 0.03399991 0.02181404 0.002559602 0.03099989 0.0158028 0.002504289 0.03399991 0.02062606 -0.001873791 0.03099989 0.007264137 -0.01425558 0.03099989 0.007264733 -0.01425558 0.03399991 -0.001873791 -0.02062606 0.03099989 -0.002501726 -0.01580297 0.03099989 -0.002502322 -0.01580303 0.03399991 0.002559602 -0.02181404 0.03099989 6.8587e-4 -0.01994019 0.03099989 -0.02651643 -0.02651643 0.03099989 -0.01131361 -0.01131361 0.03099989 -0.03539478 -0.01238691 0.03099989 -0.01580297 -0.002501726 0.03099989 -0.01131361 -0.01131361 0.03399991 -0.01994019 -6.8587e-4 0.03099989 -0.01425558 0.007264137 0.03099989 -0.01599997 1.70156e-6 0.03399991 -0.02181404 -0.002559602 0.03099989 -0.01478123 -0.006124675 0.03399991 -0.02062606 0.001873791 0.03099989 -0.007264137 0.01425558 0.03099989 -0.01385581 0.008000969 0.03399991 0.001873791 0.02062606 0.03099989 -1.73431e-6 0.01599997 0.03399991 -6.8587e-4 0.01994019 0.03099989 -0.002559602 0.02181404 0.03099989 -0.008000016 0.01385635 0.03399991 0.02062606 -0.001873791 0.03204995 0.02318578 -0.002559602 0.03099989 0.02318578 -0.002559602 0.03204995 0.01994019 6.8587e-4 0.03204995 0.02437376 0.001873791 0.03099989 0.02181404 0.002559602 0.03204995 0.0250597 -6.8587e-4 0.03099989 0.02437376 0.001873791 0.03204995 0.03726387 -0.004198968 0.03099989 0.0250597 -6.8587e-4 0.03204995 0.001873791 -0.02437376 0.03099989 0.01809388 -0.00852108 0.03099989 0.01914149 -0.007524013 0.03099989 0.001873791 0.02062606 0.03204995 0.002559602 0.02318578 0.03099989 0.002559602 0.02318578 0.03204995 -6.8587e-4 0.01994019 0.03204995 -0.02318578 0.002559602 0.03099989 -0.001873791 0.02437376 0.03099989 -0.002559602 0.02181404 0.03204995 0.01238691 0.03539478 0.03099989 6.8587e-4 0.0250597 0.03099989 -0.001873791 0.02437376 0.03204995 -0.01809388 0.00852108 0.03099989 -0.007522881 0.01914191 0.03099989 -0.007492661 0.0205878 0.03099989 -0.008520066 0.01809442 0.03099989 6.8587e-4 0.0250597 0.03204995 -0.02062606 0.001873791 0.03204995 -0.02318578 0.002559602 0.03204995 -0.01994019 -6.8587e-4 0.03204995 -0.02437376 -0.001873791 0.03099989 -0.02181404 -0.002559602 0.03204995 -0.0250597 6.8587e-4 0.03099989 -0.02437376 -0.001873791 0.03204995 -0.03726387 0.004198968 0.03099989 -0.0250597 6.8587e-4 0.03204995 -0.01914149 0.007524013 0.03099989 -0.001873791 -0.02062606 0.03204995 -0.002559602 -0.02318578 0.03099989 -0.002559602 -0.02318578 0.03204995 6.8587e-4 -0.01994019 0.03204995 0.002559602 -0.02181404 0.03204995 -0.01238691 -0.03539478 0.03099989 -6.8587e-4 -0.0250597 0.03099989 0.001873791 -0.02437376 0.03204995 0.008520066 -0.01809442 0.03099989 0.007522881 -0.01914191 0.03099989 0.007492661 -0.0205878 0.03099989 -6.8587e-4 -0.0250597 0.03204995 -0.007492661 0.0205878 0.0349999 -0.008865475 0.02435982 0.03099989 -0.008865475 0.02435982 0.0349999 -0.007522881 0.01914191 0.0349999 -0.01414149 0.01414239 0.03099989 -0.008520066 0.01809442 0.0349999 -0.01414149 0.01414239 0.0349999 -0.01809388 0.00852108 0.0349999 -0.02058738 0.007493853 0.03099989 -0.01914149 0.007524013 0.0349999 -0.02435934 0.008866846 0.03099989 -0.02058738 0.007493853 0.0349999 -0.02551907 0.009971439 0.03099989 -0.02435934 0.008866846 0.0349999 -0.02549642 0.01157277 0.03099989 -0.02551907 0.009971439 0.0349999 -0.01979815 0.01979935 0.03099989 -0.02549642 0.01157277 0.0349999 -0.004198968 0.03726387 0.03099989 -0.01157134 0.02549701 0.03099989 -0.01979815 0.01979935 0.0349999 -0.009969949 0.0255196 0.03099989 -0.01157134 0.02549701 0.0349999 -0.009969949 0.0255196 0.0349999 0.01414149 -0.01414239 0.03099989 0.008520066 -0.01809442 0.0349999 0.007522881 -0.01914191 0.0349999 0.01414149 -0.01414239 0.0349999 0.01809388 -0.00852108 0.0349999 0.02058738 -0.007493853 0.03099989 0.01914149 -0.007524013 0.0349999 0.02435934 -0.008866846 0.03099989 0.02058738 -0.007493853 0.0349999 0.02551907 -0.009971439 0.03099989 0.02435934 -0.008866846 0.0349999 0.02549642 -0.01157277 0.03099989 0.02551907 -0.009971439 0.0349999 0.01979815 -0.01979935 0.03099989 0.02549642 -0.01157277 0.0349999 0.004198968 -0.03726387 0.03099989 0.01157134 -0.02549701 0.03099989 0.01979815 -0.01979935 0.0349999 0.009969949 -0.0255196 0.03099989 0.01157134 -0.02549701 0.0349999 0.008865475 -0.02435982 0.03099989 0.009969949 -0.0255196 0.0349999 0.008865475 -0.02435982 0.0349999 0.007492661 -0.0205878 0.0349999 0.02722352 0.02722352 0.032 0.0363394 0.01271593 0.032 0.01271593 0.0363394 0.032 -0.03175133 0.01995223 0.03099989 -0.01995217 0.03175133 0.03099989 -0.004310429 0.03825783 0.032 -0.02048313 0.03259891 0.032 -0.03259891 0.02048313 0.032 -0.03825783 0.004310429 0.032 -0.0363394 -0.01271593 0.032 -0.02722352 -0.02722352 0.032 -0.01271593 -0.0363394 0.032 0.03175133 -0.01995223 0.03099989 0.01995217 -0.03175133 0.03099989 0.004310429 -0.03825783 0.032 0.02048313 -0.03259891 0.032 0.03259891 -0.02048313 0.032 0.03825783 -0.004310429 0.032 -0.02381551 -0.005443096 0.0349999 -0.02897781 -0.007763445 0.0349999 -0.02121317 -0.02121317 0.0349999 -0.02121317 -0.02121317 0.03549993 -0.01202052 -0.01202052 0.0349999 -0.007763445 -0.02897781 0.0349999 -0.01676625 -0.02487736 0.03549993 -0.02078771 -0.005331516 0.0349999 -0.01826143 -0.003659605 0.0349999 -0.01552623 -0.006923079 0.0349999 -0.0190767 -0.02315336 0.03549993 -0.0279091 0.001449286 0.0349999 -0.02897781 0.007763445 0.0349999 -0.02999997 5.899e-6 0.04349994 -0.02645975 -0.003959715 0.0349999 -0.02316278 -0.0190652 0.03549993 -0.02489399 -0.01674169 0.03549993 -0.02567601 -0.01551586 0.03609126 -0.02598071 -0.01499992 0.03749996 -0.02598071 -0.01499992 0.04349988 -0.02121317 0.02121317 0.0349999 -0.02597457 0.01501065 0.04349988 -0.007763445 0.02897781 0.0349999 -0.01498448 0.02598965 0.04349988 0.001449286 0.0279091 0.0349999 0.007763445 0.02897781 0.0349999 2.4271e-5 0.02999997 0.04349988 -0.003959715 0.02645975 0.0349999 0.01202052 0.01202052 0.0349999 0.02121317 0.02121317 0.0349999 0.01676625 0.02487736 0.03549993 0.006923139 0.01552623 0.0349999 0.003959715 0.0185402 0.0349999 0.005409181 0.02394938 0.0349999 0.01554155 0.02566045 0.0360912 0.01502609 0.02596563 0.03749996 0.02381551 0.005443096 0.0349999 0.02897781 0.007763445 0.0349999 0.02121317 0.02121317 0.03549993 0.02078771 0.005331516 0.0349999 0.01826143 0.003659605 0.0349999 0.01552623 0.006923079 0.0349999 0.0190767 0.02315336 0.03549993 0.0279091 -0.001449286 0.0349999 0.02897781 -0.007763445 0.0349999 0.02999985 -8.38222e-6 0.04399991 0.02645975 0.003959715 0.0349999 0.02598071 0.01499992 0.04399991 0.02598071 0.01499992 0.03749996 0.02567601 0.01551586 0.03609126 0.02489399 0.01674169 0.03549993 0.02316278 0.0190652 0.03549993 0.02121317 -0.02121317 0.0349999 0.02597397 -0.01501119 0.04399991 0.007763445 -0.02897781 0.0349999 0.0149855 -0.02598875 0.04399991 -0.001449286 -0.0279091 0.0349999 -2.14141e-5 -0.02999985 0.04399991 0.003959715 -0.02645975 0.0349999 -0.005409181 -0.02394938 0.0349999 -0.003959715 -0.0185402 0.0349999 -0.006923139 -0.01552623 0.0349999 -0.01502609 -0.02596563 0.03749996 -0.01554155 -0.02566045 0.0360912 -0.005331516 0.02078771 0.0349999 -0.0185402 0.003959715 0.0349999 -0.005443096 0.02381551 0.0349999 -0.02394938 0.005409181 0.0349999 0.02394938 -0.005409181 0.0349999 0.0185402 -0.003959715 0.0349999 0.005331516 -0.02078771 0.0349999 0.005443096 -0.02381551 0.0349999 -0.002560019 -0.01751965 0.0349999 -9.14638e-4 -0.0169751 0.0349999 0 -0.01695007 0.03494995 0.006925642 -0.0155251 0.0349999 0.003659605 -0.01826143 0.0349999 0.01202112 -0.0120204 0.0349999 9.14758e-4 -0.0169751 0.0349999 0.01552534 -0.006924927 0.0349999 0.01751965 -0.002560019 0.0349999 0.0169751 -9.14775e-4 0.0349999 0.01695019 1.6456e-5 0.03495013 0.0169751 9.14618e-4 0.0349999 0.002560019 0.01751965 0.0349999 9.14638e-4 0.0169751 0.0349999 4.53373e-4 0.01695621 0.03496217 -0.006925642 0.0155251 0.0349999 -0.003659605 0.01826143 0.0349999 -0.01202112 0.0120204 0.0349999 -9.14758e-4 0.0169751 0.0349999 -4.57447e-4 0.01695626 0.03496247 -0.01552534 0.006924927 0.0349999 -0.01751965 0.002560019 0.0349999 -0.0169751 9.14775e-4 0.0349999 -0.01695626 4.57342e-4 0.03496247 -0.0169751 -9.14618e-4 0.0349999 -0.01695621 -4.56468e-4 0.03496235 0.003180325 0.03836816 0.0464999 0.01900637 0.03348135 0.0464999 0.01531755 0.02979272 0.0464999 0.0201106 0.03282994 0.04525852 0.02119863 0.03213816 0.04399991 0.01721459 0.02815413 0.04399991 -0.01324373 0.03615015 0.0464999 4.27461e-4 0.03734344 0.0464999 0.001593351 0.03617739 0.0464999 0.001166701 0.03458327 0.0464999 -0.03613954 0.01327246 0.0464999 -0.02721267 0.02723443 0.0464999 -0.02884066 0.01704317 0.0464999 -0.001166701 0.03691667 0.0464999 -0.01702082 0.02885371 0.0464999 -0.0383706 -0.003149867 0.0464999 -0.03734344 4.27461e-4 0.0464999 -0.03349632 -0.01898002 0.0464999 -0.03532242 -0.001593351 0.0464999 -0.03691667 -0.001166701 0.0464999 -0.03215456 -0.02117383 0.03749996 -0.03284555 -0.02008509 0.04525846 -0.02816975 -0.01718902 0.04399991 -0.0341565 -4.27461e-4 0.0464999 -0.03348499 9.99905e-4 0.0464999 -0.02980697 -0.01529061 0.0464999 -0.03215456 -0.02117383 0.04399991 -0.03182411 -0.0216673 0.03608894 -0.03099286 -0.02284049 0.03549993 -0.02919125 -0.02510213 0.03549993 -0.02722352 -0.02722352 0.03549993 -0.02511334 -0.02918154 0.03549993 0.02722352 0.02722352 0.03549993 0.02511334 0.02918154 0.03549993 0.02286422 0.03097534 0.03549993 0.02169179 0.03180742 0.03608894 0.02119863 0.03213816 0.03749996 0.02919125 0.02510213 0.03549993 0.03099286 0.02284049 0.03549993 0.03182411 0.0216673 0.03608894 0.01539176 0.02633136 0.04399991 0.01520842 0.02614796 0.04374915 0.01502609 0.02596563 0.04349988 -0.003180027 -0.03836822 0.0464999 -0.01900637 -0.03348135 0.0464999 -0.01531755 -0.02979266 0.0464999 -0.0201106 -0.03282994 0.04525852 -0.02119863 -0.03213816 0.04399991 -0.01721459 -0.02815413 0.04399991 0.01324409 -0.03614997 0.0464999 -4.27461e-4 -0.03734344 0.0464999 -0.001593351 -0.03617739 0.0464999 -0.001166701 -0.03458327 0.0464999 0.03613972 -0.01327198 0.0464999 0.02721303 -0.02723401 0.0464999 0.02883851 -0.01704692 0.0464999 0.001166701 -0.03691667 0.0464999 0.01701706 -0.02885591 0.0464999 0.0383706 0.003150165 0.0464999 0.03734344 -4.27461e-4 0.0464999 0.03349632 0.01898002 0.0464999 0.03532242 0.001593351 0.0464999 0.03691667 0.001166701 0.0464999 0.03215456 0.02117383 0.03749996 0.03284555 0.02008509 0.04525846 0.02816975 0.01718902 0.04399991 0.0341565 4.27461e-4 0.0464999 0.03348511 -0.001001358 0.0464999 0.02980715 0.01529079 0.0464999 0.03215456 0.02117383 0.04399991 -0.02286422 -0.03097534 0.03549993 -0.02169179 -0.03180742 0.03608894 -0.02119863 -0.03213816 0.03749996 -0.01502609 -0.02596563 0.04399991 -0.01647496 1.79885e-6 0.0344749 -1.75862e-6 0.01647496 0.0344749 -0.03691667 -0.001166701 0.03659999 -0.03734374 4.27051e-4 0.03659999 -0.0353229 -0.001593708 0.03659999 -0.03458327 0.001166701 0.0464999 -0.0341562 -4.27051e-4 0.03659999 -0.03617739 0.001593351 0.0464999 -0.03458327 0.001166701 0.03659999 -0.03617697 0.001593708 0.03659999 0.001593351 -0.03532242 0.0464999 0.001166701 -0.03691667 0.03659999 -4.27051e-4 -0.03734374 0.03659999 9.6957e-4 -0.03348559 0.0464999 4.27461e-4 -0.0341565 0.0464999 0.001593708 -0.0353229 0.03659999 4.27051e-4 -0.0341562 0.03659999 -0.001166701 -0.03458327 0.03659999 -0.001593708 -0.03617697 0.03659999 0.03691667 0.001166701 0.03659999 0.03734374 -4.27051e-4 0.03659999 0.0353229 0.001593708 0.03659999 0.03458327 -0.001166701 0.0464999 0.0341562 4.27051e-4 0.03659999 0.03617739 -0.001593351 0.0464999 0.03458327 -0.001166701 0.03659999 0.03617697 -0.001593708 0.03659999 -0.001593351 0.03532242 0.0464999 -0.001166701 0.03691667 0.03659999 4.27051e-4 0.03734374 0.03659999 -9.71149e-4 0.03348559 0.0464999 -4.27461e-4 0.0341565 0.0464999 -0.001593708 0.0353229 0.03659999 -4.27051e-4 0.0341562 0.03659999 0.001166701 0.03458327 0.03659999 0.001593708 0.03617697 0.03659999 7.39098e-4 -0.03299164 0.046 -0.01631957 -0.02868223 0.04500627 -0.0153653 -0.02948534 0.04624891 0.01670247 -0.02846086 0.04599982 0.02844369 -0.01673179 0.04599958 0.03299099 -7.70457e-4 0.04599952 0.02869707 0.01629346 0.04500603 0.02949953 0.01533865 0.04624861 -7.40688e-4 0.03299158 0.046 0.01631951 0.02868223 0.04500633 0.0153653 0.02948534 0.04624891 -0.01670616 0.02845877 0.04599982 -0.02844578 0.01672816 0.04599976 -0.03299099 7.6901e-4 0.04599976 -0.02869707 -0.0162934 0.04500603 -0.02949953 -0.01533848 0.04624873 -0.01541179 -0.02917999 0.04600018 -0.009183466 -0.03169631 0.04399991 -5.03331e-4 -0.03299593 0.04399991 0.008211791 -0.03196161 0.04399991 0.01634579 -0.02866691 0.04399991 0.02865207 -0.0163719 0.04399991 0.02332365 -0.02334487 0.04399991 0.03195416 -0.008240878 0.04399991 0.03299641 4.73327e-4 0.04399991 0.02919387 0.01538532 0.04599946 0.03170472 0.009154617 0.04399991 0.01541179 0.02917999 0.04600012 0.009183406 0.03169631 0.04399991 5.03304e-4 0.03299593 0.04399991 1.03828e-4 0.03049945 0.04399991 -0.008211851 0.03196161 0.04399991 -0.01634579 0.02866691 0.04399991 -0.01520997 0.02643668 0.04399991 -0.02865207 0.01637184 0.04399991 -0.02332371 0.02334487 0.04399991 -0.03195416 0.008240878 0.04399991 -0.02642154 0.01523602 0.04399991 -0.03299641 -4.73357e-4 0.04399991 -0.02919405 -0.01538515 0.04599976 -0.03170472 -0.009154617 0.04399991 -0.03049951 -7.36846e-5 0.04399991 -0.02634656 -0.01536571 0.04399991 -2.38539e-6 0.01694995 0.03494989 -0.01694995 1.28375e-6 0.03494989 -0.0261631 -0.01518225 0.04374915 -0.03574997 0 0.03560853 0 -0.03574997 0.03560853 0.03574997 0 0.03560853 0 0.03574997 0.03560853 0.03132498 -0.08999997 -0.01236194 0.04724997 -0.08999997 -0.01299995 0.04724997 -0.08999997 0.01299995 0.0482499 -0.08899998 0.01399993 0.02917498 -0.08999997 0.01236194 0.02224993 -0.08999997 0.01299995 0.02251935 -0.0891382 0.01386171 0.03132498 -0.08999997 0.01236194 0.03239995 -0.08999997 0.01049995 0.03132498 -0.08999997 0.008638024 0.02917498 -0.08999997 0.005361914 0.03132498 -0.08999997 0.005361914 0.03239995 -0.08999997 0.003499925 0.03132498 -0.08999997 0.001637995 0.02917498 -0.08999997 -0.001637995 0.03132498 -0.08999997 -0.001637995 0.03239995 -0.08999997 -0.003499925 0.03132498 -0.08999997 -0.005361914 0.02917498 -0.08999997 -0.008638024 0.03132498 -0.08999997 -0.008638024 0.03239995 -0.08999997 -0.01049995 0.02324998 -0.08899998 0.01399993 0.02224993 -0.08999997 -0.01299995 0.02324998 -0.08899998 -0.01399993 0.0482499 -0.08899998 -0.01399993 0.02809995 -0.08999997 0.01049995 0.02138817 -0.0891382 -0.01273047 0.02917498 -0.08999997 0.008638024 0.02809995 -0.08999997 0.003499925 0.02917498 -0.08999997 0.001637995 0.02809995 -0.08999997 -0.003499925 0.02917498 -0.08999997 -0.005361914 0.02809995 -0.08999997 -0.01049995 0.02917498 -0.08999997 -0.01236194 0.02251935 -0.0891382 -0.01386171 0.02183574 -0.08958578 -0.0134142 0.02124989 -0.08899998 -0.01199996 0.02124989 -0.08899998 0.01199996 0.02138817 -0.0891382 0.01273047 0.02183574 -0.08958578 0.0134142 0.03239995 -0.07899999 0.01049995 0.03132498 -0.07899999 0.008638024 0.03132498 -0.07899999 0.01236194 0.02917498 -0.07899999 0.01236194 0.02809995 -0.07899999 0.01049995 0.02917498 -0.07899999 0.008638024 0.03239995 -0.07899999 0.003499925 0.03132498 -0.07899999 0.001637995 0.03132498 -0.07899999 0.005361914 0.02917498 -0.07899999 0.005361914 0.02809995 -0.07899999 0.003499925 0.02917498 -0.07899999 0.001637995 0.03239995 -0.07899999 -0.003499925 0.03132498 -0.07899999 -0.005361914 0.03132498 -0.07899999 -0.001637995 0.02917498 -0.07899999 -0.001637995 0.02809995 -0.07899999 -0.003499925 0.02917498 -0.07899999 -0.005361914 0.03239995 -0.07899999 -0.01049995 0.03132498 -0.07899999 -0.01236194 0.03132498 -0.07899999 -0.008638024 0.02917498 -0.07899999 -0.008638024 0.02809995 -0.07899999 -0.01049995 0.02917498 -0.07899999 -0.01236194 0.03949993 -0.07899999 -0.01399993 0.03949993 -0.07899999 0.01399993 0.02524989 -0.07899999 0.0209999 0.02883577 -0.07899999 0.01458573 0.03024995 -0.07899999 0.01399993 0.02883577 -0.07899999 -0.01458573 0.03024995 -0.07899999 -0.01399993 0.02824991 -0.07899999 -0.01599997 0.02625 -0.07899999 -0.0209999 0.02524989 -0.07899999 -0.0209999 0.02383571 -0.0784142 -0.0209999 0.02766418 -0.07899999 -0.02041417 0.02824991 -0.07899999 -0.01899999 0.02824991 -0.07899999 0.01599997 0.02824991 -0.07899999 0.01899999 0.02766418 -0.07899999 0.02041417 0.02625 -0.07899999 0.0209999 0.01624995 -0.08099997 0.0209999 0.02383571 -0.0784142 0.0209999 0.02625 -0.08199995 -0.0209999 0.01624995 -0.08099997 -0.0209999 0.02766418 -0.08199995 -0.02041417 0.02824991 -0.08199995 -0.01899999 0.02824991 -0.08199995 -0.01599997 0.02883577 -0.08199995 -0.01458573 0.03024995 -0.08199995 -0.01399993 0.0482499 -0.08774995 -0.01399993 0.0482499 -0.08774995 0.01399993 0.03024995 -0.08199995 0.01399993 0.02883577 -0.08199995 0.01458573 0.02824991 -0.08199995 0.01599997 0.02824991 -0.08199995 0.01899999 0.02766418 -0.08199995 0.02041417 0.02625 -0.08199995 0.0209999 0.01725 -0.08199995 0.0209999 0.02324998 -0.08199995 0.01399993 0.02324998 -0.08199995 -0.01399993 0.01725 -0.08199995 -0.0209999 0.02183574 -0.08199995 -0.0134142 0.02124989 -0.08199995 0.01199996 0.02124989 -0.08199995 -0.01199996 0.02183574 -0.08199995 0.0134142 0.01624995 -0.04799991 -0.0209999 0.01624995 -0.04799991 0.0209999 0.02324998 -0.07699996 0.0209999 0.02324998 -0.07699996 -0.0209999 0.01239997 -0.04799991 -0.01399993 0.02324998 -0.03299999 -0.0209999 0.002249956 -0.03299999 -0.0209999 0.002249956 -0.04699999 -0.0209999 0.003249943 -0.04799991 -0.0209999 0.011325 -0.04799991 -0.01586186 0.02324998 -0.03299999 0.0209999 0.003249943 -0.04799991 0.0209999 0.009174942 -0.04799991 0.01636195 0.011325 -0.04799991 0.01636195 0.01239997 -0.04799991 0.01449996 0.011325 -0.04799991 0.01263803 0.009174942 -0.04799991 0.006861925 0.011325 -0.04799991 0.006861925 0.01239997 -0.04799991 0.004999995 0.011325 -0.04799991 -0.002637982 0.01239997 -0.04799991 -0.004499912 0.011325 -0.04799991 -0.01213794 0.002249956 -0.04699999 0.0209999 0.008099973 -0.04799991 0.01449996 0.002249956 -0.03299999 0.0209999 0.003249943 -0.032 0.01999998 0.003249943 -0.032 -0.01999998 0.02324998 -0.046 0.01799988 0.02324998 -0.032 0.01799988 0.02324998 -0.032 0.01999998 0.02324998 -0.046 -0.01799988 0.007749915 -0.046 0.01799988 0.007749915 -0.032 0.01799988 0.01239997 -0.046 0.01449996 0.011325 -0.046 0.01636195 0.02324998 -0.032 -0.01999998 0.02324998 -0.032 -0.01799988 0.007749915 -0.032 -0.01799988 0.007749915 -0.046 -0.01799988 0.009174942 -0.046 -0.01586186 0.00575 -0.046 -0.01599997 0.006335735 -0.046 -0.01741421 0.011325 -0.046 0.01263803 0.009174942 -0.046 0.01263803 0.01239997 -0.046 0.004999995 0.011325 -0.046 0.003137946 0.009174942 -0.046 0.003137946 0.011325 -0.046 -0.002637982 0.011325 -0.046 -0.006361842 0.01239997 -0.046 -0.004499912 0.009174942 -0.046 -0.006361842 0.011325 -0.046 -0.01213794 0.011325 -0.046 -0.01586186 0.01239997 -0.046 -0.01399993 0.009174942 -0.04799991 0.01263803 0.008099973 -0.04799991 0.004999995 0.009174942 -0.04799991 0.003137946 0.008099973 -0.04799991 -0.004499912 0.009174942 -0.04799991 -0.006361842 0.011325 -0.04799991 -0.006361842 0.009174942 -0.04799991 -0.01213794 0.008099973 -0.04799991 -0.01399993 0.009174942 -0.04799991 -0.01586186 0.009174942 -0.046 0.01636195 0.008099973 -0.046 0.01449996 0.009174942 -0.04799991 -0.002637982 0.011325 -0.04799991 0.003137946 0.011325 -0.046 0.006861925 0.009174942 -0.046 0.006861925 0.008099973 -0.046 0.004999995 0.009174942 -0.046 -0.002637982 0.008099973 -0.046 -0.004499912 0.009174942 -0.046 -0.01213794 0.008099973 -0.046 -0.01399993 0.006335735 -0.032 -0.01741421 0.00575 -0.032 -0.01599997 0.00575 -0.032 0.01599997 0.006335735 -0.032 0.01741421 0.00575 -0.046 0.01599997 0.006335735 -0.046 0.01741421 0.006999969 0.02949988 -0.03174996 -0.003767848 0.02949988 -7.5e-4 -0.005499899 0.02949988 -0.001749992 -0.005499899 0.03349989 -0.001749992 -0.00723201 0.02949988 -7.5e-4 -0.006914198 0.03349989 -0.001164138 -0.003767848 0.02949988 0.001249969 -0.003499925 0.03349989 2.5e-4 -0.004499912 0.04349988 -0.00148195 -0.01034992 0.02949988 0.01899999 -0.005499899 0.02949988 0.002249956 -0.004085779 0.03349989 0.001664102 0.003767848 0.02949988 -7.5e-4 -0.00723201 0.02949988 0.001249969 -0.005499899 0.03349989 0.002249956 -0.007499933 0.03349989 2.5e-4 -0.006499946 0.04349988 0.001982033 -0.01034992 0.02949988 -0.01849997 0.00723201 0.02949988 -7.5e-4 0.005499899 0.02949988 -0.001749992 0.005499899 0.03349989 -0.001749992 0.004085779 0.03349989 -0.001164138 0.01034992 0.02949988 -0.01849997 0.00723201 0.02949988 0.001249969 0.007499933 0.03349989 2.5e-4 0.006499946 0.04349988 -0.00148195 0.006999969 0.02949988 0.03074991 0.005499899 0.02949988 0.002249956 0.006914198 0.03349989 0.001664102 -0.01142489 0.02949988 0.02086192 0.003767848 0.02949988 0.001249969 0.005499899 0.03349989 0.002249956 0.003499925 0.03349989 2.5e-4 0.004499912 0.04349988 0.001982033 -0.01034992 0.04117 0.01899999 -0.01142489 0.02949988 0.017138 -0.01142489 0.04117 0.017138 -0.05099993 0.02949988 0.03074991 -0.01357489 0.02949988 0.02086192 -0.01142489 0.04117 0.02086192 -0.01464992 0.02949988 0.01899999 -0.01357489 0.04117 0.02086192 -0.01357489 0.02949988 -0.01663804 -0.01357489 0.02949988 0.017138 -0.01464992 0.04117 0.01899999 -0.01464992 0.02949988 -0.01849997 -0.023 0.02949988 0.004749894 -0.02417171 0.02949988 0.007578194 -0.01142489 0.02949988 -0.01663804 -0.01357489 0.04117 0.017138 0.01599907 0.02949988 0.02833867 0.01357489 0.02949988 0.02086192 0.01464992 0.02949988 0.01899999 0.01464992 0.04117 0.01899999 0.01464992 0.02949988 -0.01849997 0.01357489 0.02949988 0.017138 0.01357489 0.04117 0.017138 0.01599907 0.02949988 -0.02933865 0.01142489 0.02949988 0.02086192 0.01357489 0.04117 0.02086192 0.01034992 0.02949988 0.01899999 0.01142489 0.04117 0.02086192 0.01142489 0.02949988 -0.01663804 0.01142489 0.02949988 0.017138 0.01034992 0.04117 0.01899999 0.01357489 0.02949988 -0.01663804 0.01142489 0.04117 0.017138 -0.01034992 0.04117 -0.01849997 -0.01142489 0.02949988 -0.0203619 -0.01142489 0.04117 -0.0203619 -0.01142489 0.04117 -0.01663804 -0.01357489 0.04117 -0.01663804 -0.023 0.02949988 -0.00575 -0.01357489 0.02949988 -0.0203619 -0.01464992 0.04117 -0.01849997 -0.01357489 0.04117 -0.0203619 -0.05099993 0.02949988 -0.009749948 -0.02699995 0.02949988 -0.009749948 -0.02417171 0.02949988 -0.00857824 0.01464992 0.04117 -0.01849997 0.01357489 0.02949988 -0.0203619 0.01357489 0.04117 -0.0203619 0.01357489 0.04117 -0.01663804 0.01142489 0.04117 -0.01663804 0.01142489 0.02949988 -0.0203619 0.01034992 0.04117 -0.01849997 0.01142489 0.04117 -0.0203619 -0.05099993 0.02949988 -0.03174996 0.001049995 0.03718125 -0.03174996 0.01214683 0.04349988 -0.0309984 0.006999969 0.04349988 -0.03174996 -0.05099993 0.03358727 -0.02437496 -0.03099989 0.0625 -0.03174996 -0.03099989 0.04349988 -0.03174996 -0.002099931 0.03899997 -0.03174996 -0.05099993 0.0625 -0.03174996 -0.05099993 0.03899997 -0.02749997 -0.001049995 0.03718125 -0.03174996 -0.02699995 0.04349988 -0.009749948 -0.03099989 0.04349988 -0.009749948 -0.03099989 0.0625 -0.009749948 -0.05099993 0.0625 -0.009749948 -0.05099993 0.03899997 -0.01499992 -0.05099993 0.03358727 -0.01812493 -0.02417171 0.04349988 -0.00857824 -0.023 0.03757095 0.001074433 -0.023 0.04349988 -0.00575 -0.023 0.03899997 -0.001399934 -0.023 0.03757095 -5.74485e-4 -0.023 0.04349988 0.004749894 -0.02699995 0.02949988 0.008749961 -0.02417171 0.04349988 0.007578194 -0.05099993 0.02949988 0.008749961 -0.05099993 0.0625 0.008749961 -0.02699995 0.04349988 0.008749961 -0.03099989 0.04349988 0.008749961 -0.05099993 0.03358727 0.01712495 -0.05099993 0.03899997 0.01399993 -0.03099989 0.04349988 0.03074991 -0.05099993 0.0625 0.03074991 -0.05099993 0.03899997 0.02649992 -0.05099993 0.03358727 0.02337497 0.006999969 0.04349988 0.03074991 0.002099931 0.03899997 0.03074991 -0.001049995 0.03718125 0.03074991 0.001049995 0.03718125 0.03074991 0.02258867 0.02949988 -0.02274912 0.02258867 0.02949988 0.02174907 0.01686286 0.04349988 0.02780729 0.01214683 0.04349988 0.02999848 0.02499997 0.02949988 -0.01374989 0.02499997 0.02949988 0.01274991 0.02349996 0.04349988 0.01994371 0.02075535 0.04349988 0.02435982 0.02499997 0.04199993 0.01274991 0.02463829 0.04236161 0.01634025 0.02499997 0.04199993 -0.01374989 0.02499997 0.03757095 -5.74485e-4 0.02499997 0.03757095 0.001074433 0.02499997 0.03899997 -0.001399934 0.02499997 0.04042893 -5.74485e-4 0.02075535 0.04349988 -0.0253598 0.02349996 0.04349988 -0.0209437 0.02463829 0.04236161 -0.01734024 0.01686286 0.04349988 -0.02880728 -0.007499933 0.04349988 2.5e-4 -0.006499946 0.04349988 -0.00148195 -0.004499912 0.04349988 0.001982033 0.003499925 0.04349988 2.5e-4 -0.003499925 0.04349988 2.5e-4 0.004499912 0.04349988 -0.00148195 9.99987e-4 0.04349988 -0.003617942 -9.99987e-4 0.04349988 -0.003617942 0.006499946 0.04349988 0.001982033 0.007499933 0.04349988 2.5e-4 0.001999974 0.04349988 0.005849957 9.99987e-4 0.04349988 0.007581949 0.009599983 0.04349988 0.01159989 9.99987e-4 0.04349988 0.004117906 -9.99987e-4 0.04349988 0.004117906 0.01048368 0.04349988 -0.00976628 -0.001999974 0.04349988 -0.005349934 -0.001999974 0.03349989 -0.005349934 -9.99987e-4 0.04349988 -0.007082045 -0.001959562 0.03939998 -0.00575 -0.001959562 0.0385999 -0.00575 -9.99376e-4 0.03349989 -0.003617823 0.001999974 0.04349988 -0.005349934 9.99376e-4 0.03349989 -0.003617823 0.009599983 0.04349988 -0.00939995 9.99987e-4 0.04349988 -0.007082045 0.001959562 0.03939998 -0.00575 0.001999974 0.03349989 -0.005349934 8.97841e-4 0.0407871 -0.00713706 -8.46362e-4 0.04081207 -0.007162034 -9.99987e-4 0.04349988 0.007581949 -0.001999974 0.04349988 0.005849957 -0.001999974 0.03899997 0.005849957 -9.99376e-4 0.03349989 0.004117846 -0.001999258 0.03905004 0.005799949 -0.001997411 0.03909999 0.00575 0 0.04099988 0.007849991 -0.001470923 0.04035508 0.007205069 0.001459777 0.04036712 0.007217109 -0.009599983 0.04349988 0.01159989 -0.02534312 0.04349988 0.01109308 0.001999974 0.03899997 0.005849957 9.99376e-4 0.03349989 0.004117846 0.001997411 0.03889989 0.00575 0.001999974 0.03349989 0.005849957 0.001999258 0.03905004 0.005799949 0.001997411 0.03909999 0.00575 0.01026064 0.04349988 0.01511996 -0.01026064 0.04349988 0.01511996 -0.008019983 0.04349988 0.01899999 0.008019983 0.04349988 0.01899999 -0.01026064 0.04349988 0.02287983 0.009599983 0.04349988 0.01409989 -0.01473933 0.04349988 0.01511996 -0.023 0.04349988 0.01674991 -0.01697999 0.04349988 0.01899999 -0.009599983 0.04349988 0.01409989 -0.01048368 0.04349988 0.01373368 -0.023 0.04349988 0.02274996 -0.01473933 0.04349988 0.02287983 -0.02534312 0.04349988 0.02840679 0.01026064 0.04349988 0.02287983 0.01473933 0.04349988 0.01511996 0.01697999 0.04349988 0.01899999 0.01473933 0.04349988 0.02287983 0.01048368 0.04349988 0.01373368 0.01084995 0.04349988 0.01284992 0.01026064 0.04349988 -0.02237987 -0.01026064 0.04349988 -0.02237987 -0.008019983 0.04349988 -0.01849997 0.008019983 0.04349988 -0.01849997 -0.01026064 0.04349988 -0.01462 -0.01473933 0.04349988 -0.02237987 -0.023 0.04349988 -0.01774996 -0.01697999 0.04349988 -0.01849997 -0.023 0.04349988 -0.02374988 -0.01473933 0.04349988 -0.01462 -0.02534312 0.04349988 -0.01209306 0.01026064 0.04349988 -0.01462 0.01473933 0.04349988 -0.02237987 0.01697999 0.04349988 -0.01849997 0.01473933 0.04349988 -0.01462 0.009599983 0.04349988 -0.01189988 -0.009599983 0.04349988 -0.01189988 0.01048368 0.04349988 -0.01153361 0.008716285 0.04349988 0.01196622 -0.008716285 0.04349988 0.01196622 -0.008349955 0.04349988 0.01284992 -0.008349955 0.03599995 0.01284992 0.008349955 0.04349988 0.01284992 -0.008716285 0.04349988 0.01373368 -0.008716106 0.03599995 0.01373386 -0.008716106 0.03599995 0.01196604 -0.01048368 0.04349988 0.01196622 -0.009599983 0.03599995 0.01159989 -0.01084995 0.04349988 0.01284992 -0.01048386 0.03599995 0.01196604 -0.01084995 0.03599995 0.01284992 -0.01048386 0.03599995 0.01373386 0.008716285 0.04349988 0.01373368 -0.009599983 0.03599995 0.01409989 0.01048368 0.04349988 0.01196622 0.01084995 0.03599995 0.01284992 0.01048386 0.03599995 0.01373386 0.01048386 0.03599995 0.01196604 0.009599983 0.03599995 0.01159989 0.008716106 0.03599995 0.01196604 0.008349955 0.03599995 0.01284992 0.008716106 0.03599995 0.01373386 0.009599983 0.03599995 0.01409989 0.008716285 0.04349988 -0.01153361 -0.008716285 0.04349988 -0.01153361 -0.008349955 0.04349988 -0.01064991 -0.008349955 0.03599995 -0.01064991 0.008349955 0.04349988 -0.01064991 -0.008716285 0.04349988 -0.00976628 -0.008716106 0.03599995 -0.009766101 -0.008716106 0.03599995 -0.01153379 -0.01048368 0.04349988 -0.01153361 -0.009599983 0.03599995 -0.01189988 -0.01084995 0.04349988 -0.01064991 -0.01048386 0.03599995 -0.01153379 -0.01084995 0.03599995 -0.01064991 -0.01048368 0.04349988 -0.00976628 -0.009599983 0.04349988 -0.00939995 -0.01048386 0.03599995 -0.009766101 0.008716285 0.04349988 -0.00976628 -0.009599983 0.03599995 -0.00939995 0.01084995 0.04349988 -0.01064991 0.01084995 0.03599995 -0.01064991 0.01048386 0.03599995 -0.009766101 0.01048386 0.03599995 -0.01153379 0.009599983 0.03599995 -0.01189988 0.008716106 0.03599995 -0.01153379 0.008349955 0.03599995 -0.01064991 0.008716106 0.03599995 -0.009766101 0.009599983 0.03599995 -0.00939995 0.001049995 0.04081863 0.03074991 -0.03099989 0.0625 0.03074991 -0.002099931 0.03899997 0.03074991 -0.001049995 0.04081863 0.03074991 -0.02534312 0.0625 0.02840679 -0.023 0.0625 0.01674991 -0.023 0.0625 0.02274996 -0.02534312 0.0625 0.01109308 -0.03099989 0.0625 0.008749961 -0.023 0.04042893 -5.74485e-4 -0.023 0.03899997 0.001899898 -0.023 0.04042893 0.001074433 -0.02534312 0.0625 -0.01209306 -0.023 0.0625 -0.02374988 -0.023 0.0625 -0.01774996 -0.02534312 0.04349988 -0.02940684 -0.02534312 0.0625 -0.02940684 -0.001049995 0.04081863 -0.03174996 0.002099931 0.03899997 -0.03174996 0.001049995 0.04081863 -0.03174996 -0.03712499 0.0625 0.01483732 -0.05099993 0.04441261 0.02337497 -0.04025 0.0625 0.02024996 -0.03712499 0.0625 0.02566266 -0.0308749 0.0625 0.02566266 -0.002099931 0.03899997 0.02649992 -0.00141853 0.04054832 0.02576589 -9.09462e-4 0.03710711 0.02514594 -0.001555383 0.03758895 0.02591735 0.001651704 0.03770309 0.02274996 -6.61556e-4 0.03700697 0.0243327 4.9836e-4 0.03695988 0.02274996 0.002099931 0.03899997 0.02274996 4.9836e-4 0.04104 0.02274996 0.001651704 0.04029679 0.02274996 -6.75221e-4 0.04098844 0.02471429 9.99376e-4 0.03349989 -0.007082104 -9.99376e-4 0.03349989 -0.007082104 0.001959562 0.0385999 -0.00575 -8.9419e-4 0.037211 -0.007138967 8.55811e-4 0.03719234 -0.007157564 0.001989603 0.03920274 -0.00575 0.001560688 0.03774935 -0.02368986 0.001989603 0.03879714 -0.00575 0.001560688 0.04025053 -0.02368986 0.001999974 0.03899997 -0.02368986 4.3591e-4 0.04095184 -0.02368986 -8.80397e-4 0.0407958 -0.02368986 -0.001989603 0.03879714 -0.00575 -0.001989603 0.03920274 -0.00575 -0.001953065 0.03943061 -0.02354699 -0.001810014 0.03985065 -0.02368992 -0.001953244 0.0385701 -0.02354681 -0.001999974 0.03899997 -0.02349996 -8.80392e-4 0.03720408 -0.02368986 -0.001810014 0.03814923 -0.02368992 4.35914e-4 0.03704804 -0.02368986 -9.99376e-4 0.03349989 0.007582128 -0.001464486 0.03763782 0.007211923 0 0.037 0.007849991 0 0.037 0.02268981 9.99376e-4 0.03349989 0.007582128 0.001465857 0.03763931 0.007210493 0.001731932 0.0379998 0.02268981 -0.001999974 0.03349989 0.005849957 -0.001810014 0.03814935 0.02268975 -0.001072227 0.03731173 0.02268981 -0.001999974 0.03899997 0.02249991 -0.001999258 0.03894984 0.005799949 -0.001949906 0.03855669 0.02254968 0.001999258 0.03894984 0.005799949 0.001731932 0.04000008 0.02268981 -0.001072227 0.04068815 0.02268981 -0.001949787 0.03944391 0.0225498 -0.001810014 0.03985053 0.02268975 0 0.04099988 0.02268981 -0.001997411 0.03889989 0.00575 -0.03712499 0.0625 -0.02666258 -0.05099993 0.04441261 -0.01812493 -0.05099993 0.04441261 -0.02437496 0.002099931 0.03899997 -0.02374988 0.001651704 0.04029679 -0.02374988 4.9836e-4 0.03695988 -0.02374988 0.001651704 0.03770309 -0.02374988 -0.001418173 0.03745114 -0.0267654 -6.74764e-4 0.03701132 -0.02571278 -0.002099931 0.03899997 -0.02749997 -9.08642e-4 0.04089307 -0.02614486 -0.001553297 0.04041337 -0.02691495 -6.61819e-4 0.04099279 -0.02533161 4.9836e-4 0.04104 -0.02374988 0.02499997 0.03899997 0.001899898 0.01799988 0.03899997 0.001899898 0.02499997 0.04042893 0.001074433 0.01799988 0.04042887 0.00107491 0.01799988 0.03757101 0.00107491 0.01799988 0.03757101 -5.75e-4 0.01799988 0.03899997 -0.001399934 0.01799988 0.04042887 -5.75e-4 -0.01599997 0.03899997 -0.001399934 -0.01599997 0.04042887 -5.75e-4 -0.01599997 0.03757101 -5.75e-4 -0.01599997 0.03757101 0.00107491 -0.01599997 0.03899997 0.001899898 -0.01599997 0.04042887 0.00107491 -0.04025 0.0625 -0.02124989 -0.03712499 0.0625 -0.01583731 -0.0308749 0.0625 -0.01583731 -0.05099993 0.04441261 0.01712495 -0.0308749 0.0625 -0.02666258 -0.02774995 0.0625 -0.02124989 -0.02774995 0.04524993 -0.02124989 -0.02949988 0.04349988 -0.01691257 -0.02816623 0.04483354 -0.01900666 -0.03399991 0.04349988 -0.02749997 -0.02821207 0.044788 -0.02360808 -0.02949988 0.04349988 -0.02558732 -0.03849995 0.04349988 -0.02558732 -0.04025 0.04524993 -0.02124989 -0.03979104 0.04479122 -0.02360022 -0.03399991 0.04349988 -0.01499992 -0.03978812 0.0447883 -0.01889246 -0.03849995 0.04349988 -0.01691257 -0.0308749 0.0625 0.01483732 -0.02774995 0.0625 0.02024996 -0.02774995 0.04524993 0.02024996 -0.02949988 0.04349988 0.02458733 -0.02816683 0.04483336 0.02249425 -0.03399991 0.04349988 0.01399993 -0.02949988 0.04349988 0.01591265 -0.02821069 0.04478895 0.01789462 -0.03849995 0.04349988 0.01591265 -0.04025 0.04524993 0.02024996 -0.03978973 0.04478967 0.01789623 -0.03399991 0.04349988 0.02649992 -0.03983318 0.04483348 0.02249389 -0.03849995 0.04349988 0.02458733 -0.02599996 0.03899997 0.01399993 -0.03631848 0.04296493 0.01541858 -0.03398817 0.04274916 0.01524943 -0.02599996 0.04212492 0.01483732 -0.02599996 0.03358727 0.01712495 -0.02599996 0.03587496 0.01483732 -0.02599996 0.03358727 0.02337497 -0.02599996 0.03274995 0.02024996 -0.02599996 0.03899997 0.02649992 -0.02599996 0.03587496 0.02566266 -0.03401046 0.04274916 0.02525049 -0.02599996 0.03899997 -0.01499992 -0.02599996 0.03358727 -0.01812493 -0.02599996 0.03587496 -0.01583731 -0.03402811 0.04274922 -0.01624935 -0.02599996 0.03899997 -0.02749997 -0.02599996 0.04212492 -0.02666258 -0.03397119 0.04274922 -0.02625048 -0.03629207 0.04296016 -0.02608507 -0.02599996 0.03358727 -0.02437496 -0.02599996 0.03587496 -0.02666258 -0.02599996 0.03274995 -0.02124989 -0.02599996 0.04441261 0.01712495 -0.02599996 0.04524993 0.02024996 -0.02599996 0.04441261 0.02337497 -0.03168475 0.04296427 0.02508175 -0.02599996 0.04212492 0.02566266 -0.02224457 0.03899997 0.02024996 -0.02432471 0.03738927 0.02331429 -0.02359652 0.03899997 0.02249991 -0.02436316 0.04064816 0.02336698 -0.00186342 0.03996819 0.02274996 -0.001835048 0.03990978 0.0227189 -0.02500414 0.03700315 0.02438586 -0.001126945 0.03722792 0.02357262 -0.00186342 0.03803169 0.02274996 -0.001835048 0.0380901 0.0227189 -0.02555459 0.03725349 0.02547466 -0.02589058 0.03800731 0.02623629 -0.02556777 0.04073017 0.02550297 -0.0250402 0.04099935 0.02445125 -0.001004457 0.04084414 0.02372598 -8.67783e-4 0.04091227 0.02274996 -8.67783e-4 0.03708761 0.02274996 0.001999974 0.03899997 -0.00575 -0.001999974 0.03899997 -0.00575 -0.001835227 0.03808993 -0.02371901 -0.02359652 0.03899997 -0.02349996 -8.67783e-4 0.03708761 -0.02374988 -0.00186342 0.03803169 -0.02374988 -0.02436316 0.04064816 -0.02436703 -0.001835167 0.03990989 -0.02371901 -8.67783e-4 0.04091227 -0.02374988 -0.00186342 0.03996819 -0.02374988 -0.02432471 0.03738927 -0.02431434 -0.02224457 0.03899997 -0.02124989 -0.02599996 0.04212492 -0.01583731 -0.02599996 0.04441261 -0.02437496 -0.02599996 0.04524993 -0.02124989 -0.02599996 0.04441261 -0.01812493 -0.02589058 0.03800731 -0.02723628 -0.02555459 0.03725349 -0.02647471 -0.02500414 0.03700315 -0.02538597 -0.02556777 0.04073017 -0.02650302 -0.001005113 0.03715622 -0.02472501 -0.0250402 0.04099935 -0.02545124 -0.03170806 0.0429601 -0.01641476 -0.001126766 0.04077208 -0.02457278 -0.009599983 0.03524881 0.01284992 0.009599983 0.03524881 0.01284992 -0.009599983 0.03524881 -0.01064991 0.009599983 0.03524881 -0.01064991 0.01700854 0.03899997 2.5e-4 -0.0150085 0.03899997 2.5e-4 -0.04174947 0 -0.0500999 -0.04007697 0.001159965 -0.0500999 -0.03891777 -0.003167808 -0.0500999 -0.03727018 -0.001520276 -0.04776996 -0.02043908 -0.0219596 -0.0500999 -0.03458982 -0.004326939 -0.0500999 -0.0351935 -0.002076685 -0.04776996 -0.00335443 -0.04072463 -0.0500999 -0.04072463 -0.00335443 -0.0500999 -0.03946459 0.006522655 -0.0500999 -0.03690999 0.004326939 -0.0500999 -0.03782665 5.56461e-4 -0.04776996 -0.03992384 0.004870653 -0.0500999 -0.04072463 0.00335443 -0.0500999 -0.03874635 0.009935498 -0.0500999 -0.03258216 0.003167808 -0.0500999 -0.03630644 0.002076685 -0.04776996 -0.02892971 -0.007940948 -0.0500999 -0.03142297 -0.001159965 -0.0500999 -0.03422963 0.001520276 -0.04776996 -0.03240782 0.007481932 -0.0500999 -0.03486007 0.008048057 -0.0500999 -0.03746485 0.01001805 -0.0500999 -0.03367316 -5.56461e-4 -0.04776996 0.00335443 -0.04072463 -0.0500999 -0.001159965 -0.04007697 -0.0500999 0.003167808 -0.03891777 -0.0500999 0.001520276 -0.03727018 -0.04776996 0.004870653 -0.03992384 -0.0500999 0.004326939 -0.03458982 -0.0500999 0.002076685 -0.0351935 -0.04776996 0 -0.04174947 -0.0500999 -0.004326939 -0.03690999 -0.0500999 -5.56461e-4 -0.03782665 -0.04776996 -0.005848944 -0.02942395 -0.0500999 -0.003167808 -0.03258216 -0.0500999 -0.002076685 -0.03630644 -0.04776996 0.001159965 -0.03142297 -0.0500999 -0.001520276 -0.03422963 -0.04776996 0.01048731 -0.02810698 -0.0500999 5.56461e-4 -0.03367316 -0.04776996 0.006522655 -0.03946459 -0.0500999 0.04174947 0 -0.0500999 0.04007697 -0.001159965 -0.0500999 0.03891777 0.003167808 -0.0500999 0.03727018 0.001520276 -0.04776996 0.02705812 0.01295518 -0.0500999 0.03458982 0.004326939 -0.0500999 0.0351935 0.002076685 -0.04776996 0.01621216 0.02524179 -0.0500999 0 0.04174947 -0.0500999 0.04072463 0.00335443 -0.0500999 0.00335443 0.04072463 -0.0500999 0.03946459 -0.006522655 -0.0500999 0.03690999 -0.004326939 -0.0500999 0.03782665 -5.56461e-4 -0.04776996 0.03992384 -0.004870653 -0.0500999 0.04072463 -0.00335443 -0.0500999 0.03349775 -0.02186059 -0.0500999 0.03258216 -0.003167808 -0.0500999 0.03630644 -0.002076685 -0.04776996 0.03142297 0.001159965 -0.0500999 0.03422963 -0.001520276 -0.04776996 0.02982884 -0.003198385 -0.0500999 0.03367316 5.56461e-4 -0.04776996 -0.00335443 0.04072463 -0.0500999 0.001159965 0.04007697 -0.0500999 -0.003167808 0.03891777 -0.0500999 -0.001520276 0.03727018 -0.04776996 -0.004870653 0.03992384 -0.0500999 -0.004326939 0.03458982 -0.0500999 -0.002076685 0.0351935 -0.04776996 0.004326939 0.03690999 -0.0500999 5.56461e-4 0.03782665 -0.04776996 0.003167808 0.03258216 -0.0500999 0.002076685 0.03630644 -0.04776996 5.26949e-4 0.0299952 -0.0500999 -0.001159965 0.03142297 -0.0500999 0.001520276 0.03422963 -0.04776996 -0.01531761 0.02579474 -0.0500999 -5.56461e-4 0.03367316 -0.04776996 -0.006522655 0.03946459 -0.0500999 -0.006595969 0.03811234 -0.0500999 -0.006788015 0.03578156 -0.0500999 -0.00335443 0.04072463 -0.04559993 2.25581e-7 0.04174995 -0.04559993 -0.005563795 0.03968435 -0.04567241 -0.003949344 0.04036015 -0.0456705 -0.004616558 0.04003 -0.04589527 -0.007637381 0.03926408 -0.0500999 -0.006522655 0.03946459 -0.04559993 -0.008746206 0.03903204 -0.0500999 -0.008746206 0.03903204 -0.05909997 -0.0211752 0.03393507 -0.05909997 -0.006595969 0.03811234 -0.05909997 -0.006788015 0.03578156 -0.05909997 -0.003865659 0.02924561 -0.04959994 -0.01586705 0.02515143 -0.04983818 0.009479939 0.02793526 -0.04959994 0.02085953 0.02085953 -0.04959994 0.02849477 0.007635176 -0.04959994 0.02369523 -0.01839923 -0.0500999 0.02849483 -0.007634997 -0.04959994 0.02185809 -0.03349936 -0.0500999 0.02085953 -0.02085953 -0.04959994 0.007634997 -0.02849483 -0.04959994 -0.007635176 -0.02849477 -0.04959994 -0.02085953 -0.02085953 -0.04959994 -0.03047639 0.007514894 -0.0500999 -0.0287857 0.008448719 -0.0500999 -0.02879303 -0.006419122 -0.04959994 -0.025855 -0.0142045 -0.04959994 -0.02959501 0.007866501 -0.05909997 -0.0277459 0.01002067 -0.05909997 -0.02814954 0.009206712 -0.04971694 -0.02944022 0.00187695 -0.04959994 -0.03486007 0.008048057 -0.05909997 -0.03240782 0.007481932 -0.05909997 -0.03773367 0.01327282 -0.0500999 -0.03746485 0.01001805 -0.05909997 -0.03349786 0.02186053 -0.04559993 -0.03773367 0.01327282 -0.05909997 -0.03946459 0.006522655 -0.04559993 -0.03992378 0.004870653 -0.04559993 -0.04072463 0.00335443 -0.04559993 -0.04174995 0 -0.04559993 -0.004870653 -0.03992384 -0.0500999 -0.03992384 -0.004870653 -0.0500999 -0.04072463 -0.00335443 -0.04559993 -0.006522655 -0.03946459 -0.0500999 -0.03946459 -0.006522655 -0.0500999 -0.03992378 -0.004870653 -0.04559993 -0.02185904 -0.03349876 -0.0500999 -0.03349828 -0.0218597 -0.0500999 -0.03946459 -0.006522655 -0.04559993 -0.03349798 -0.02186042 -0.04559993 -0.02186042 -0.03349798 -0.04559993 -0.006522655 -0.03946459 -0.04559993 -0.004870653 -0.03992378 -0.04559993 -0.00335443 -0.04072463 -0.04559993 0 -0.04174995 -0.04559993 0.00335443 -0.04072463 -0.04559993 0.004870653 -0.03992378 -0.04559993 0.006522655 -0.03946459 -0.04559993 0.02186048 -0.03349792 -0.04559993 0.03349804 -0.0218603 -0.04559993 0.03946459 -0.006522655 -0.04559993 0.03992378 -0.004870653 -0.04559993 0.04072463 -0.00335443 -0.04559993 0.04174995 0 -0.04559993 0.004870653 0.03992384 -0.0500999 0.03992384 0.004870653 -0.0500999 0.04072463 0.00335443 -0.04559993 0.006522655 0.03946459 -0.0500999 0.03946459 0.006522655 -0.0500999 0.03992378 0.004870653 -0.04559993 0.0218566 0.03350031 -0.0500999 0.03349989 0.02185714 -0.0500999 0.03946459 0.006522655 -0.04559993 0.03349804 0.0218603 -0.04559993 0.02186048 0.03349792 -0.04559993 0.006522655 0.03946459 -0.04559993 0.004870653 0.03992378 -0.04559993 0.00335443 0.04072463 -0.04559993 -0.03235846 -0.008669316 -0.04509997 -0.0351929 -0.002076268 -0.04509997 -0.03727018 -0.001520276 -0.04509997 -0.04124999 0 -0.04509997 -0.03782624 5.56994e-4 -0.04509997 -0.03367364 -5.56994e-4 -0.04509997 -0.03235852 0.008669078 -0.04509997 -0.03422963 0.001520276 -0.04509997 -0.03945928 0.004685938 -0.04509997 -0.03630691 0.002076268 -0.04509997 -0.03897124 0.006441116 -0.04509997 -0.04031008 0.003074944 -0.04509997 0.004685938 -0.03945928 -0.04509997 0.002076268 -0.0351929 -0.04509997 0.001520276 -0.03727018 -0.04509997 0.003074944 -0.04031008 -0.04509997 -5.56994e-4 -0.03782624 -0.04509997 0.006441116 -0.03897124 -0.04509997 5.56994e-4 -0.03367364 -0.04509997 -0.008669316 -0.03235846 -0.04509997 -0.001520276 -0.03422963 -0.04509997 0.008669078 -0.03235852 -0.04509997 -0.002076268 -0.03630691 -0.04509997 0.03235846 0.008669316 -0.04509997 0.0351929 0.002076268 -0.04509997 0.03727018 0.001520276 -0.04509997 0.04124999 0 -0.04509997 0.03782624 -5.56994e-4 -0.04509997 0.03367364 5.56994e-4 -0.04509997 0.03235852 -0.008669078 -0.04509997 0.03422963 -0.001520276 -0.04509997 0.03945928 -0.004685938 -0.04509997 0.03630691 -0.002076268 -0.04509997 0.03897124 -0.006441116 -0.04509997 0.04031008 -0.003074944 -0.04509997 -0.004223048 0.03927356 -0.04509997 -0.002076268 0.0351929 -0.04509997 -0.001520276 0.03727018 -0.04509997 5.56994e-4 0.03782624 -0.04509997 -0.02032047 0.03387188 -0.04509997 -5.56994e-4 0.03367364 -0.04509997 0.008669316 0.03235846 -0.04509997 0.001520276 0.03422963 -0.04509997 -0.008669078 0.03235852 -0.04509997 0.002076268 0.03630691 -0.04509997 -7.71929e-4 0.04119527 -0.04509997 0.03945928 0.004685938 -0.04509997 0.03897124 0.006441116 -0.04509997 0.02368801 0.02368801 -0.04509997 0.03307932 0.02158707 -0.04509997 0.04031008 0.003074944 -0.04509997 0.03307932 -0.02158707 -0.04509997 0.02368801 -0.02368801 -0.04509997 0.02158719 -0.0330792 -0.04509997 0 -0.04124999 -0.04509997 -0.02368801 -0.02368801 -0.04509997 -0.003074944 -0.04031008 -0.04509997 -0.004685938 -0.03945928 -0.04509997 -0.006441116 -0.03897124 -0.04509997 -0.03307926 -0.02158719 -0.04509997 -0.02158719 -0.03307926 -0.04509997 -0.03897124 -0.006441116 -0.04509997 -0.03945928 -0.004685938 -0.04509997 -0.04031008 -0.003074944 -0.04509997 -0.03266525 0.02220833 -0.04509997 -0.02368801 0.02368801 -0.04509997 -0.02186053 0.03349786 -0.04559993 -0.004419505 0.03964596 -0.04549157 0.003074944 0.04031008 -0.04509997 0.004685938 0.03945928 -0.04509997 0.006441116 0.03897124 -0.04509997 0.02158719 0.0330792 -0.04509997 -0.0233345 -0.0233345 -0.04559993 -0.03187549 -0.008541166 -0.04559993 -0.008541166 -0.03187549 -0.04559993 0.008540928 -0.03187555 -0.04559993 0.0233345 -0.0233345 -0.04559993 0.03187555 -0.008540928 -0.04559993 0.03187549 0.008541166 -0.04559993 0.0233345 0.0233345 -0.04559993 0.008541166 0.03187549 -0.04559993 -0.008540928 0.03187555 -0.04559993 -0.0233345 0.0233345 -0.04559993 -0.03187555 0.008540928 -0.04559993 -0.03121304 0.02501451 -0.05909997 -0.02323919 0.01817077 -0.05909997 -0.01641243 0.02451276 -0.05909997 -0.007634043 -0.02849483 -0.04749995 -0.02085953 -0.02085953 -0.04749995 0.007634043 -0.02849483 -0.04749995 0.02085953 -0.02085953 -0.04749995 0.02849483 -0.007634043 -0.04749995 0.02849483 0.007634043 -0.04749995 0.02085953 0.02085953 -0.04749995 0.007634043 0.02849483 -0.04749995 0.0233345 0.0233345 -0.04749995 0.008540928 0.03187513 -0.04749995 0.03187513 0.008540928 -0.04749995 0.03187555 -0.008540987 -0.04749995 0.008540987 -0.03187555 -0.04749995 0.0233342 -0.0233342 -0.04749995 -0.008540928 -0.03187513 -0.04749995 -0.02849483 -0.007634043 -0.04749995 -0.0233345 -0.0233345 -0.04749995 -0.0277459 0.01002067 -0.04959994 -0.02849483 0.007634043 -0.04749995 -0.02085953 0.02085953 -0.04749995 -0.03187513 -0.008540928 -0.04749995 -0.03187555 0.008540987 -0.04749995 -0.01641243 0.02451276 -0.04959994 -0.007634043 0.02849483 -0.04749995 -0.008540987 0.03187555 -0.04749995 -0.0233342 0.0233342 -0.04749995 -0.04899996 -0.0183683 -0.0188691 -0.04899996 -0.0183683 0.0188691 -0.04899996 -0.01949989 0.01839995 -0.04999995 -0.01949989 0.01839995 -0.04899996 -0.01949989 -0.01839995 -0.04899996 -0.02063167 0.0188691 -0.04999995 -0.02063107 0.01886886 -0.04899996 -0.01790016 -0.01999998 -0.04899996 -0.01790016 0.01999998 -0.04999995 -0.01836884 0.01886886 -0.04899996 0.001900196 -0.01999998 -0.04899996 -0.0183683 0.0211308 -0.04999995 -0.01789999 0.01999998 -0.04899996 0.004199981 -0.03024995 -0.04899996 -0.03569996 0.03024995 -0.04899996 -0.01949989 0.02159988 -0.04999995 -0.01836884 0.02113103 -0.04899996 0.001900196 0.01999998 -0.04899996 -0.02063167 0.0211308 -0.04999995 -0.01949989 0.02159988 -0.04899996 -0.02109974 0.01999998 -0.04999995 -0.02063107 0.02113103 -0.04899996 -0.02063167 -0.0188691 -0.04999995 -0.02109998 0.01999998 -0.04899996 -0.02109974 -0.01999998 -0.04899996 -0.0183683 -0.0211308 -0.04899996 -0.01949989 -0.02159988 -0.04999995 -0.01949989 -0.02159988 -0.04899996 -0.03569996 -0.03024995 -0.04899996 -0.02063167 -0.0211308 -0.04999995 -0.02063107 -0.02113103 -0.04999995 -0.01836884 -0.02113103 -0.04999995 -0.01789999 -0.01999998 -0.04999995 -0.01836884 -0.01886886 -0.04999995 -0.01949989 -0.01839995 -0.04999995 -0.02063107 -0.01886886 -0.04999995 -0.02109998 -0.01999998 -0.04899996 0.004631638 -0.0188691 -0.04899996 0.004631638 0.0188691 -0.04899996 0.003499925 0.01839995 -0.04999995 0.003499925 0.01839995 -0.04899996 0.003499925 -0.01839995 -0.04899996 0.002368271 0.0188691 -0.04999995 0.002368867 0.01886886 -0.04899996 0.005099654 -0.01999998 -0.04899996 0.005099654 0.01999998 -0.04999995 0.004631102 0.01886886 -0.04899996 0.004199981 0.03024995 -0.04899996 0.004631638 0.0211308 -0.04999995 0.005099952 0.01999998 -0.04899996 0.0122233 -0.02810043 -0.04899996 0.003499925 0.02159988 -0.04999995 0.004631102 0.02113103 -0.04899996 0.002368271 0.0211308 -0.04999995 0.003499925 0.02159988 -0.04999995 0.002368867 0.02113103 -0.04899996 0.002368271 -0.0188691 -0.04999995 0.001899898 0.01999998 -0.04899996 0.004631638 -0.0211308 -0.04899996 0.003499925 -0.02159988 -0.04999995 0.003499925 -0.02159988 -0.04899996 0.002368271 -0.0211308 -0.04999995 0.002368867 -0.02113103 -0.04999995 0.004631102 -0.02113103 -0.04999995 0.005099952 -0.01999998 -0.04999995 0.004631102 -0.01886886 -0.04999995 0.003499925 -0.01839995 -0.04999995 0.002368867 -0.01886886 -0.04999995 0.001899898 -0.01999998 -0.04899996 0.01810044 -0.02222335 -0.04899996 0.01788359 -0.02088361 -0.04899996 0.0169999 -0.02124989 -0.05299997 0.0169999 -0.02124989 -0.04899996 0.01611632 -0.02088361 -0.05299997 0.01611632 -0.02088361 -0.04899996 0.01824992 -0.01999998 -0.05299997 0.01788359 -0.02088361 -0.04899996 0.01788359 0.01911628 -0.04899996 0.01788359 -0.01911628 -0.05299997 0.01824992 -0.01999998 -0.04899996 0.01824992 0.01999998 -0.04899996 0.02024996 -0.01419997 -0.04899996 0.0169999 0.01874995 -0.04899996 0.0169999 -0.01874995 -0.05299997 0.01788359 -0.01911628 -0.04899996 0.01611632 0.01911628 -0.04899996 0.01611632 -0.01911628 -0.05299997 0.0169999 -0.01874995 -0.04899996 0.01574999 0.01999998 -0.04899996 0.01574999 -0.01999998 -0.05299997 0.01611632 -0.01911628 -0.05299997 0.01574999 -0.01999998 -0.04899996 0.0122233 0.02810043 -0.05299997 0.0169999 0.01874995 -0.05299997 0.01611632 0.01911628 -0.05299997 0.01788359 0.01911628 -0.04899996 0.01810044 0.02222335 -0.04899996 0.01788359 0.02088361 -0.05299997 0.01824992 0.01999998 -0.04899996 0.02024996 0.01419997 -0.04899996 0.0169999 0.02124989 -0.05299997 0.01788359 0.02088361 -0.04899996 0.01611632 0.02088361 -0.05299997 0.0169999 0.02124989 -0.05299997 0.01611632 0.02088361 -0.05299997 0.01574999 0.01999998 -0.04899996 -0.04372334 -0.02810043 -0.04899996 -0.0476163 -0.02088361 -0.04899996 -0.0485 -0.02124989 -0.05299997 -0.0485 -0.02124989 -0.04899996 -0.04938364 -0.02088361 -0.05299997 -0.04938364 -0.02088361 -0.04899996 -0.04724997 -0.01999998 -0.05299997 -0.0476163 -0.02088361 -0.04899996 -0.0476163 0.01911628 -0.04899996 -0.0476163 -0.01911628 -0.05299997 -0.04724997 -0.01999998 -0.04899996 -0.04724997 0.01999998 -0.04899996 -0.0485 0.01874995 -0.04899996 -0.0485 -0.01874995 -0.05299997 -0.0476163 -0.01911628 -0.04899996 -0.04938364 0.01911628 -0.04899996 -0.04938364 -0.01911628 -0.05299997 -0.0485 -0.01874995 -0.04899996 -0.04974997 0.01999998 -0.04899996 -0.04974997 -0.01999998 -0.05299997 -0.04938364 -0.01911628 -0.04899996 -0.04960042 -0.02222335 -0.05299997 -0.04974997 -0.01999998 -0.04899996 -0.05175 0.01419997 -0.04899996 -0.05175 -0.01419997 -0.05299997 -0.0485 0.01874995 -0.05299997 -0.04938364 0.01911628 -0.05299997 -0.0476163 0.01911628 -0.04899996 -0.04372334 0.02810043 -0.04899996 -0.0476163 0.02088361 -0.05299997 -0.04724997 0.01999998 -0.04899996 -0.04960042 0.02222335 -0.04899996 -0.0485 0.02124989 -0.05299997 -0.0476163 0.02088361 -0.04899996 -0.04938364 0.02088361 -0.05299997 -0.0485 0.02124989 -0.05299997 -0.04938364 0.02088361 -0.05299997 -0.04974997 0.01999998 -0.04951256 -0.05298733 0.01419997 -0.04951256 -0.04792404 0.02642405 -0.04951256 -0.0516715 0.02081561 -0.04951256 -0.0423156 0.03017151 -0.04951256 0.004199981 0.0314874 -0.04951256 -0.03569996 0.0314874 -0.04951256 0.016424 0.02642405 -0.04951256 0.01081562 0.03017151 -0.04951256 0.02017146 0.02081561 -0.04951256 0.02148741 -0.01419997 -0.04951256 0.02148741 0.01419997 -0.04951256 0.016424 -0.02642405 -0.04951256 0.02017146 -0.02081561 -0.04951256 0.01081562 -0.03017151 -0.04951256 -0.03569996 -0.0314874 -0.04951256 0.004199981 -0.0314874 -0.04951256 -0.04792404 -0.02642405 -0.04951256 -0.0423156 -0.03017151 -0.04951256 -0.0516715 -0.02081561 -0.04951256 -0.05298733 -0.01419997 -0.05299997 -0.02231407 -0.01837456 -0.05299997 -0.02231407 0.01837456 -0.05299997 -0.01949989 0.01674991 -0.04999995 -0.01949989 0.01674991 -0.05299997 -0.01949989 -0.01674991 -0.05299997 -0.01668584 0.01837456 -0.04999995 -0.0166853 0.01837491 -0.05299997 -0.03569996 -0.03024995 -0.05299997 -0.02231407 0.02162528 -0.04999995 -0.02231448 0.01837491 -0.05299997 -0.03569996 0.03024995 -0.05299997 -0.01949989 0.02324998 -0.04999995 -0.02231448 0.02162498 -0.05299997 0.004199981 0.03024995 -0.05299997 -0.01668584 0.02162528 -0.04999995 -0.01949989 0.02324998 -0.04999995 -0.0166853 0.02162498 -0.05299997 -0.01668584 -0.01837456 -0.05299997 -0.02231407 -0.02162528 -0.05299997 -0.01949989 -0.02324998 -0.04999995 -0.01949989 -0.02324998 -0.05299997 6.85879e-4 -0.01837456 -0.05299997 -0.01668584 -0.02162528 -0.04999995 -0.0166853 -0.02162498 -0.04999995 -0.02231448 -0.02162498 -0.04999995 -0.02231448 -0.01837491 -0.04999995 -0.01949989 -0.01674991 -0.05299997 6.85879e-4 0.02162528 -0.04999995 -0.0166853 -0.01837491 -0.05299997 6.85879e-4 0.01837456 -0.05299997 0.003499925 0.01674991 -0.04999995 0.003499925 0.01674991 -0.05299997 0.003499925 -0.01674991 -0.05299997 0.006314039 0.01837456 -0.04999995 0.006314575 0.01837491 -0.04999995 6.85417e-4 0.01837491 -0.05299997 0.003499925 0.02324998 -0.04999995 6.85417e-4 0.02162498 -0.05299997 0.006314039 0.02162528 -0.04999995 0.003499925 0.02324998 -0.05299997 0.01222336 0.02810043 -0.04999995 0.006314575 0.02162498 -0.05299997 0.006314039 -0.01837456 -0.05299997 6.85879e-4 -0.02162528 -0.05299997 0.003499925 -0.02324998 -0.04999995 0.003499925 -0.02324998 -0.05299997 0.004199981 -0.03024995 -0.05299997 0.006314039 -0.02162528 -0.04999995 0.006314575 -0.02162498 -0.04999995 6.85417e-4 -0.02162498 -0.04999995 6.85417e-4 -0.01837491 -0.04999995 0.003499925 -0.01674991 -0.04999995 0.006314575 -0.01837491 -0.05299997 0.01222336 -0.02810043 -0.05299997 0.01810044 -0.02222335 -0.05299997 0.02024996 0.01419997 -0.05299997 0.02024996 -0.01419997 -0.05299997 0.01810044 0.02222335 -0.05299997 -0.04960042 -0.02222335 -0.05299997 -0.05175 -0.01419997 -0.05299997 -0.04372334 -0.02810043 -0.05299997 -0.04372334 0.02810043 -0.05299997 -0.04960042 0.02222335 -0.05299997 -0.05175 0.01419997 -0.05248743 0.004199981 -0.0314874 -0.05248743 -0.0423156 -0.03017151 -0.05248743 -0.03569996 -0.0314874 -0.05248743 0.016424 -0.02642405 -0.05248743 0.01081562 -0.03017151 -0.05248743 0.02017146 -0.02081561 -0.05248743 0.02148741 0.01419997 -0.05248743 0.02148741 -0.01419997 -0.05248743 0.016424 0.02642405 -0.05248743 0.02017146 0.02081561 -0.05248743 0.01081562 0.03017151 -0.05248743 -0.03569996 0.0314874 -0.05248743 0.004199981 0.0314874 -0.05248743 -0.04792404 0.02642405 -0.05248743 -0.0423156 0.03017151 -0.05248743 -0.0516715 0.02081561 -0.05248743 -0.05298733 -0.01419997 -0.05248743 -0.05298733 0.01419997 -0.05248743 -0.04792404 -0.02642405 -0.05248743 -0.0516715 -0.02081561 -0.05074989 -0.03569996 -0.032 -0.05124998 -0.03569996 -0.032 -0.05124998 0.004199981 -0.032 -0.05074989 0.004199981 -0.032 -0.05124998 0.0130999 -0.02961522 -0.05074989 -0.04459995 -0.02961522 -0.05124998 -0.04459995 -0.02961522 -0.05074989 0.0130999 -0.02961522 -0.05074989 0.004199981 0.032 -0.05124998 0.004199981 0.032 -0.05124998 -0.03569996 0.032 -0.05074989 -0.03569996 0.032 -0.05124998 -0.04459995 0.02961522 -0.05074989 0.0130999 0.02961522 -0.05124998 0.0130999 0.02961522 -0.05074989 -0.04459995 0.02961522 -0.05074989 0.02199995 -0.01419997 -0.05124998 0.02199995 -0.01419997 -0.05124998 0.02199995 0.01419997 -0.05074989 0.02199995 0.01419997 -0.05124998 0.01961523 0.02309989 -0.05074989 0.01961523 -0.02309989 -0.05124998 0.01961523 -0.02309989 -0.05074989 0.01961523 0.02309989 -0.05074989 -0.05349993 0.01419997 -0.05124998 -0.05349993 0.01419997 -0.05124998 -0.05349993 -0.01419997 -0.05074989 -0.05349993 -0.01419997 -0.05124998 -0.05111521 -0.02309989 -0.05074989 -0.05111521 0.02309989 -0.05124998 -0.05111521 0.02309989 -0.05074989 -0.05111521 -0.02309989 -0.03599995 0.01384466 0.02406162 -0.03599995 0.0115 0.02299988 -0.03599995 0.01449996 0.01999998 -0.03299999 0.01449996 0.01999998 -0.03599995 0.01618999 0.01999998 -0.03599995 0.0115 0.01700001 -0.03299999 0.0115 0.01700001 -0.03599995 0.00680989 0.01999998 -0.03599995 0.008499979 0.01999998 -0.03299999 0.0115 0.02299988 -0.03599995 0.009155213 0.02406162 -0.03599995 0.009155213 0.01593822 -0.03299999 0.008499979 0.01999998 -0.03599995 0.01384466 0.01593822 -0.03609079 0.01640909 0.01999998 -0.03630989 0.01399993 0.02433001 -0.03630989 0.01399993 0.01566982 -0.03630989 0.01649999 0.01999998 -0.03630989 0.008999943 0.01566982 -0.03609079 0.006590783 0.01999998 -0.03630989 0.008999943 0.02433001 -0.03630989 0.006499946 0.01999998 -0.03299999 0.008999943 0.01999998 -0.03299999 0.0115 0.02249991 -0.03299999 0.0115 0.01749998 -0.03299999 0.01399993 0.01999998 -0.01999998 0.01399993 0.01999998 -0.01999998 0.0115 0.01749998 -0.01999998 0.0115 0.02249991 -0.01999998 0.008999943 0.01999998 -0.04199993 0.01399993 0.0214433 -0.04199993 0.01369988 0.0238105 -0.04199993 0.01589995 0.01999998 -0.04139989 0.01649999 0.01999998 -0.04199993 0.01399993 0.01855659 -0.04199993 0.01369988 0.01618945 -0.04139989 0.01399993 0.01566982 -0.04199993 0.0115 0.02288675 -0.04199993 0.009299993 0.0238105 -0.04139989 0.01399993 0.02433001 -0.04199993 0.008999943 0.0214433 -0.04199993 0.007099986 0.01999998 -0.04139989 0.008999943 0.02433001 -0.04199993 0.008999943 0.01855659 -0.04199993 0.009299993 0.01618945 -0.04139989 0.006499946 0.01999998 -0.04199993 0.0115 0.01711314 -0.04139989 0.008999943 0.01566982 -0.03899997 0.01399993 0.01855659 -0.03899997 0.01399993 0.0214433 -0.03899997 0.0115 0.01711314 -0.03899997 0.008999943 0.01855659 -0.03899997 0.008999943 0.0214433 -0.03899997 0.0115 0.02288675 -0.03599995 -0.009155213 -0.01593822 -0.03599995 -0.0115 -0.01700001 -0.03599995 -0.008499979 -0.01999998 -0.03299999 -0.008499979 -0.01999998 -0.03599995 -0.00680989 -0.01999998 -0.03599995 -0.0115 -0.02299988 -0.03299999 -0.0115 -0.02299988 -0.03599995 -0.01618999 -0.01999998 -0.03599995 -0.01449996 -0.01999998 -0.03299999 -0.0115 -0.01700001 -0.03599995 -0.01384466 -0.01593822 -0.03599995 -0.01384466 -0.02406162 -0.03299999 -0.01449996 -0.01999998 -0.03599995 -0.009155213 -0.02406162 -0.03609079 -0.006590783 -0.01999998 -0.03630989 -0.008999943 -0.01566982 -0.03630989 -0.008999943 -0.02433001 -0.03630989 -0.006499946 -0.01999998 -0.03630989 -0.01399993 -0.02433001 -0.03609079 -0.01640909 -0.01999998 -0.03630989 -0.01399993 -0.01566982 -0.03630989 -0.01649999 -0.01999998 -0.03299999 -0.01399993 -0.01999998 -0.03299999 -0.0115 -0.01749998 -0.03299999 -0.0115 -0.02249991 -0.03299999 -0.008999943 -0.01999998 -0.01999998 -0.008999943 -0.01999998 -0.01999998 -0.0115 -0.02249991 -0.01999998 -0.0115 -0.01749998 -0.01999998 -0.01399993 -0.01999998 -0.04199993 -0.008999943 -0.01855659 -0.04199993 -0.009299993 -0.01618945 -0.04199993 -0.007099986 -0.01999998 -0.04139989 -0.006499946 -0.01999998 -0.04199993 -0.008999943 -0.0214433 -0.04199993 -0.009299993 -0.0238105 -0.04139989 -0.008999943 -0.02433001 -0.04199993 -0.0115 -0.01711314 -0.04199993 -0.01369988 -0.01618945 -0.04139989 -0.008999943 -0.01566982 -0.04199993 -0.01399993 -0.01855659 -0.04199993 -0.01589995 -0.01999998 -0.04139989 -0.01399993 -0.01566982 -0.04199993 -0.01399993 -0.0214433 -0.04199993 -0.01369988 -0.0238105 -0.04139989 -0.01649999 -0.01999998 -0.04199993 -0.0115 -0.02288675 -0.04139989 -0.01399993 -0.02433001 -0.03899997 -0.008999943 -0.0214433 -0.03899997 -0.008999943 -0.01855659 -0.03899997 -0.0115 -0.02288675 -0.03899997 -0.01399993 -0.0214433 -0.03899997 -0.01399993 -0.01855659 -0.03899997 -0.0115 -0.01711314 -0.03599995 -0.009155213 0.02406162 -0.03599995 -0.0115 0.02299988 -0.03599995 -0.008499979 0.01999998 -0.03299999 -0.008499979 0.01999998 -0.03599995 -0.00680989 0.01999998 -0.03599995 -0.0115 0.01700001 -0.03299999 -0.0115 0.01700001 -0.03599995 -0.01618999 0.01999998 -0.03599995 -0.01449996 0.01999998 -0.03299999 -0.0115 0.02299988 -0.03599995 -0.01384466 0.02406162 -0.03599995 -0.01384466 0.01593822 -0.03299999 -0.01449996 0.01999998 -0.03599995 -0.009155213 0.01593822 -0.03609079 -0.006590783 0.01999998 -0.03630989 -0.008999943 0.02433001 -0.03630989 -0.008999943 0.01566982 -0.03630989 -0.006499946 0.01999998 -0.03630989 -0.01399993 0.01566982 -0.03609079 -0.01640909 0.01999998 -0.03630989 -0.01399993 0.02433001 -0.03630989 -0.01649999 0.01999998 -0.03299999 -0.01399993 0.01999998 -0.03299999 -0.0115 0.02249991 -0.03299999 -0.0115 0.01749998 -0.03299999 -0.008999943 0.01999998 -0.01999998 -0.008999943 0.01999998 -0.01999998 -0.0115 0.01749998 -0.01999998 -0.0115 0.02249991 -0.01999998 -0.01399993 0.01999998 -0.04199993 -0.008999943 0.0214433 -0.04199993 -0.009299993 0.0238105 -0.04199993 -0.007099986 0.01999998 -0.04139989 -0.006499946 0.01999998 -0.04199993 -0.008999943 0.01855659 -0.04199993 -0.009299993 0.01618945 -0.04139989 -0.008999943 0.01566982 -0.04199993 -0.0115 0.02288675 -0.04199993 -0.01369988 0.0238105 -0.04139989 -0.008999943 0.02433001 -0.04199993 -0.01399993 0.0214433 -0.04199993 -0.01589995 0.01999998 -0.04139989 -0.01399993 0.02433001 -0.04199993 -0.01399993 0.01855659 -0.04199993 -0.01369988 0.01618945 -0.04139989 -0.01649999 0.01999998 -0.04199993 -0.0115 0.01711314 -0.04139989 -0.01399993 0.01566982 -0.03899997 -0.008999943 0.01855659 -0.03899997 -0.008999943 0.0214433 -0.03899997 -0.0115 0.01711314 -0.03899997 -0.01399993 0.01855659 -0.03899997 -0.01399993 0.0214433 -0.03899997 -0.0115 0.02288675 -0.03599995 0.01384466 -0.01593822 -0.03599995 0.0115 -0.01700001 -0.03599995 0.01449996 -0.01999998 -0.03299999 0.01449996 -0.01999998 -0.03599995 0.01618999 -0.01999998 -0.03599995 0.0115 -0.02299988 -0.03299999 0.0115 -0.02299988 -0.03599995 0.00680989 -0.01999998 -0.03599995 0.008499979 -0.01999998 -0.03299999 0.0115 -0.01700001 -0.03599995 0.009155213 -0.01593822 -0.03599995 0.009155213 -0.02406162 -0.03299999 0.008499979 -0.01999998 -0.03599995 0.01384466 -0.02406162 -0.03609079 0.01640909 -0.01999998 -0.03630989 0.01399993 -0.01566982 -0.03630989 0.01399993 -0.02433001 -0.03630989 0.01649999 -0.01999998 -0.03630989 0.008999943 -0.02433001 -0.03609079 0.006590783 -0.01999998 -0.03630989 0.008999943 -0.01566982 -0.03630989 0.006499946 -0.01999998 -0.03299999 0.008999943 -0.01999998 -0.03299999 0.0115 -0.01749998 -0.03299999 0.0115 -0.02249991 -0.03299999 0.01399993 -0.01999998 -0.01999998 0.01399993 -0.01999998 -0.01999998 0.0115 -0.02249991 -0.01999998 0.0115 -0.01749998 -0.01999998 0.008999943 -0.01999998 -0.04199993 0.01399993 -0.01855659 -0.04199993 0.01369988 -0.01618945 -0.04199993 0.01589995 -0.01999998 -0.04139989 0.01649999 -0.01999998 -0.04199993 0.01399993 -0.0214433 -0.04199993 0.01369988 -0.0238105 -0.04139989 0.01399993 -0.02433001 -0.04199993 0.0115 -0.01711314 -0.04199993 0.009299993 -0.01618945 -0.04139989 0.01399993 -0.01566982 -0.04199993 0.008999943 -0.01855659 -0.04199993 0.007099986 -0.01999998 -0.04139989 0.008999943 -0.01566982 -0.04199993 0.008999943 -0.0214433 -0.04199993 0.009299993 -0.0238105 -0.04139989 0.006499946 -0.01999998 -0.04199993 0.0115 -0.02288675 -0.04139989 0.008999943 -0.02433001 -0.03899997 0.01399993 -0.0214433 -0.03899997 0.01399993 -0.01855659 -0.03899997 0.0115 -0.02288675 -0.03899997 0.008999943 -0.0214433 -0.03899997 0.008999943 -0.01855659 -0.03899997 0.0115 -0.01711314 0.03599995 0.01384466 0.01593822 0.03599995 0.0115 0.01700001 0.03599995 0.01449996 0.01999998 0.03299999 0.01449996 0.01999998 0.03599995 0.01618999 0.01999998 0.03599995 0.0115 0.02299988 0.03299999 0.0115 0.02299988 0.03599995 0.00680989 0.01999998 0.03599995 0.008499979 0.01999998 0.03299999 0.0115 0.01700001 0.03599995 0.009155213 0.01593822 0.03599995 0.009155213 0.02406162 0.03299999 0.008499979 0.01999998 0.03599995 0.01384466 0.02406162 0.03609079 0.01640909 0.01999998 0.03630989 0.01399993 0.01566982 0.03630989 0.01399993 0.02433001 0.03630989 0.01649999 0.01999998 0.03630989 0.008999943 0.02433001 0.03609079 0.006590783 0.01999998 0.03630989 0.008999943 0.01566982 0.03630989 0.006499946 0.01999998 0.03299999 0.008999943 0.01999998 0.03299999 0.0115 0.01749998 0.03299999 0.0115 0.02249991 0.03299999 0.01399993 0.01999998 0.01999998 0.01399993 0.01999998 0.01999998 0.0115 0.02249991 0.01999998 0.0115 0.01749998 0.01999998 0.008999943 0.01999998 0.04199993 0.01399993 0.01855659 0.04199993 0.01369988 0.01618945 0.04199993 0.01589995 0.01999998 0.04139989 0.01649999 0.01999998 0.04199993 0.01399993 0.0214433 0.04199993 0.01369988 0.0238105 0.04139989 0.01399993 0.02433001 0.04199993 0.0115 0.01711314 0.04199993 0.009299993 0.01618945 0.04139989 0.01399993 0.01566982 0.04199993 0.008999943 0.01855659 0.04199993 0.007099986 0.01999998 0.04139989 0.008999943 0.01566982 0.04199993 0.008999943 0.0214433 0.04199993 0.009299993 0.0238105 0.04139989 0.006499946 0.01999998 0.04199993 0.0115 0.02288675 0.04139989 0.008999943 0.02433001 0.03899997 0.01399993 0.0214433 0.03899997 0.01399993 0.01855659 0.03899997 0.0115 0.02288675 0.03899997 0.008999943 0.0214433 0.03899997 0.008999943 0.01855659 0.03899997 0.0115 0.01711314 0.03599995 0.01384466 -0.02406162 0.03599995 0.0115 -0.02299988 0.03599995 0.01449996 -0.01999998 0.03299999 0.01449996 -0.01999998 0.03599995 0.01618999 -0.01999998 0.03599995 0.0115 -0.01700001 0.03299999 0.0115 -0.01700001 0.03599995 0.00680989 -0.01999998 0.03599995 0.008499979 -0.01999998 0.03299999 0.0115 -0.02299988 0.03599995 0.009155213 -0.02406162 0.03599995 0.009155213 -0.01593822 0.03299999 0.008499979 -0.01999998 0.03599995 0.01384466 -0.01593822 0.03609079 0.01640909 -0.01999998 0.03630989 0.01399993 -0.02433001 0.03630989 0.01399993 -0.01566982 0.03630989 0.01649999 -0.01999998 0.03630989 0.008999943 -0.01566982 0.03609079 0.006590783 -0.01999998 0.03630989 0.008999943 -0.02433001 0.03630989 0.006499946 -0.01999998 0.03299999 0.008999943 -0.01999998 0.03299999 0.0115 -0.02249991 0.03299999 0.0115 -0.01749998 0.03299999 0.01399993 -0.01999998 0.01999998 0.01399993 -0.01999998 0.01999998 0.0115 -0.01749998 0.01999998 0.0115 -0.02249991 0.01999998 0.008999943 -0.01999998 0.04199993 0.01399993 -0.0214433 0.04199993 0.01369988 -0.0238105 0.04199993 0.01589995 -0.01999998 0.04139989 0.01649999 -0.01999998 0.04199993 0.01399993 -0.01855659 0.04199993 0.01369988 -0.01618945 0.04139989 0.01399993 -0.01566982 0.04199993 0.0115 -0.02288675 0.04199993 0.009299993 -0.0238105 0.04139989 0.01399993 -0.02433001 0.04199993 0.008999943 -0.0214433 0.04199993 0.007099986 -0.01999998 0.04139989 0.008999943 -0.02433001 0.04199993 0.008999943 -0.01855659 0.04199993 0.009299993 -0.01618945 0.04139989 0.006499946 -0.01999998 0.04199993 0.0115 -0.01711314 0.04139989 0.008999943 -0.01566982 0.03899997 0.01399993 -0.01855659 0.03899997 0.01399993 -0.0214433 0.03899997 0.0115 -0.01711314 0.03899997 0.008999943 -0.01855659 0.03899997 0.008999943 -0.0214433 0.03899997 0.0115 -0.02288675 0.03599995 -0.009155213 0.01593822 0.03599995 -0.0115 0.01700001 0.03599995 -0.008499979 0.01999998 0.03299999 -0.008499979 0.01999998 0.03599995 -0.00680989 0.01999998 0.03599995 -0.0115 0.02299988 0.03299999 -0.0115 0.02299988 0.03599995 -0.01618999 0.01999998 0.03599995 -0.01449996 0.01999998 0.03299999 -0.0115 0.01700001 0.03599995 -0.01384466 0.01593822 0.03599995 -0.01384466 0.02406162 0.03299999 -0.01449996 0.01999998 0.03599995 -0.009155213 0.02406162 0.03609079 -0.006590783 0.01999998 0.03630989 -0.008999943 0.01566982 0.03630989 -0.008999943 0.02433001 0.03630989 -0.006499946 0.01999998 0.03630989 -0.01399993 0.02433001 0.03609079 -0.01640909 0.01999998 0.03630989 -0.01399993 0.01566982 0.03630989 -0.01649999 0.01999998 0.03299999 -0.01399993 0.01999998 0.03299999 -0.0115 0.01749998 0.03299999 -0.0115 0.02249991 0.03299999 -0.008999943 0.01999998 0.01999998 -0.008999943 0.01999998 0.01999998 -0.0115 0.02249991 0.01999998 -0.0115 0.01749998 0.01999998 -0.01399993 0.01999998 0.04199993 -0.008999943 0.01855659 0.04199993 -0.009299993 0.01618945 0.04199993 -0.007099986 0.01999998 0.04139989 -0.006499946 0.01999998 0.04199993 -0.008999943 0.0214433 0.04199993 -0.009299993 0.0238105 0.04139989 -0.008999943 0.02433001 0.04199993 -0.0115 0.01711314 0.04199993 -0.01369988 0.01618945 0.04139989 -0.008999943 0.01566982 0.04199993 -0.01399993 0.01855659 0.04199993 -0.01589995 0.01999998 0.04139989 -0.01399993 0.01566982 0.04199993 -0.01399993 0.0214433 0.04199993 -0.01369988 0.0238105 0.04139989 -0.01649999 0.01999998 0.04199993 -0.0115 0.02288675 0.04139989 -0.01399993 0.02433001 0.03899997 -0.008999943 0.0214433 0.03899997 -0.008999943 0.01855659 0.03899997 -0.0115 0.02288675 0.03899997 -0.01399993 0.0214433 0.03899997 -0.01399993 0.01855659 0.03899997 -0.0115 0.01711314 0.03599995 -0.009155213 -0.02406162 0.03599995 -0.0115 -0.02299988 0.03599995 -0.008499979 -0.01999998 0.03299999 -0.008499979 -0.01999998 0.03599995 -0.00680989 -0.01999998 0.03599995 -0.0115 -0.01700001 0.03299999 -0.0115 -0.01700001 0.03599995 -0.01618999 -0.01999998 0.03599995 -0.01449996 -0.01999998 0.03299999 -0.0115 -0.02299988 0.03599995 -0.01384466 -0.02406162 0.03599995 -0.01384466 -0.01593822 0.03299999 -0.01449996 -0.01999998 0.03599995 -0.009155213 -0.01593822 0.03609079 -0.006590783 -0.01999998 0.03630989 -0.008999943 -0.02433001 0.03630989 -0.008999943 -0.01566982 0.03630989 -0.006499946 -0.01999998 0.03630989 -0.01399993 -0.01566982 0.03609079 -0.01640909 -0.01999998 0.03630989 -0.01399993 -0.02433001 0.03630989 -0.01649999 -0.01999998 0.03299999 -0.01399993 -0.01999998 0.03299999 -0.0115 -0.02249991 0.03299999 -0.0115 -0.01749998 0.03299999 -0.008999943 -0.01999998 0.01999998 -0.008999943 -0.01999998 0.01999998 -0.0115 -0.01749998 0.01999998 -0.0115 -0.02249991 0.01999998 -0.01399993 -0.01999998 0.04199993 -0.008999943 -0.0214433 0.04199993 -0.009299993 -0.0238105 0.04199993 -0.007099986 -0.01999998 0.04139989 -0.006499946 -0.01999998 0.04199993 -0.008999943 -0.01855659 0.04199993 -0.009299993 -0.01618945 0.04139989 -0.008999943 -0.01566982 0.04199993 -0.0115 -0.02288675 0.04199993 -0.01369988 -0.0238105 0.04139989 -0.008999943 -0.02433001 0.04199993 -0.01399993 -0.0214433 0.04199993 -0.01589995 -0.01999998 0.04139989 -0.01399993 -0.02433001 0.04199993 -0.01399993 -0.01855659 0.04199993 -0.01369988 -0.01618945 0.04139989 -0.01649999 -0.01999998 0.04199993 -0.0115 -0.01711314 0.04139989 -0.01399993 -0.01566982 0.03899997 -0.008999943 -0.01855659 0.03899997 -0.008999943 -0.0214433 0.03899997 -0.0115 -0.01711314 0.03899997 -0.01399993 -0.01855659 0.03899997 -0.01399993 -0.0214433 0.03899997 -0.0115 -0.02288675 0.009699165 -0.106 0.02837622 0.008970737 -0.106 0.02626585 0.01250624 -0.106 0.02626585 0.01250624 -0.1084 0.02626585 0.01357752 -0.106 0.02733719 0.01250624 -0.106 0.02273041 0.01250624 -0.1084 0.02273041 0.007899463 -0.106 0.02165913 0.008970737 -0.106 0.02273041 0.008970737 -0.1084 0.02626585 0.006860435 -0.106 0.02553749 0.01177775 -0.106 0.02061998 0.008970737 -0.1084 0.02273041 0.01461654 -0.106 0.02345877 0.01369506 -0.1059312 0.02745467 0.009638547 -0.105765 0.02860331 0.0148437 -0.105765 0.02339816 0.01374363 -0.105765 0.02750337 0.01183843 -0.105765 0.02039295 0.007781982 -0.1059312 0.02154159 0.006633341 -0.105765 0.02559804 0.007733285 -0.105765 0.02149289 0.009253561 -0.1084 0.02301323 0.009253561 -0.1084 0.02598309 0.01222342 -0.1084 0.02301323 0.01222342 -0.1084 0.02598309 0.01222342 -0.122 0.02598309 0.01222342 -0.122 0.02301323 0.009253561 -0.122 0.02598309 0.009253561 -0.122 0.02301323 0.01448839 -0.101 0.02449816 0.01073849 -0.101 0.02824807 0.01339018 -0.101 0.02714979 0.01374363 -0.1015 0.02750337 0.0148437 -0.1015 0.02339816 0.009105503 -0.101 0.02613115 0.00808686 -0.101 0.02714979 0.009638547 -0.1015 0.02860331 0.01296913 -0.101 0.02509588 0.01133614 -0.101 0.0267288 0.008507788 -0.101 0.02390038 0.006988525 -0.101 0.02449816 0.006633341 -0.1015 0.02559804 0.01073849 -0.101 0.02074813 0.00808686 -0.101 0.02184647 0.007733285 -0.1015 0.02149289 0.01237148 -0.101 0.02286517 0.01339018 -0.101 0.02184647 0.01183843 -0.1015 0.02039295 0.01014071 -0.101 0.02226746 0.01296913 -0.1035 0.02509588 0.01133614 -0.1035 0.0267288 0.01237148 -0.1035 0.02286517 0.01014071 -0.1035 0.02226746 0.008507788 -0.1035 0.02390038 0.009105503 -0.1035 0.02613115 -0.01058298 -0.106 -0.02058935 -0.01131141 -0.106 -0.02269965 -0.007775843 -0.106 -0.02269965 -0.007775843 -0.1084 -0.02269965 -0.006704628 -0.106 -0.02162832 -0.007775843 -0.106 -0.02623516 -0.007775843 -0.1084 -0.02623516 -0.01238262 -0.106 -0.02730637 -0.01131141 -0.106 -0.02623516 -0.01131141 -0.1084 -0.02269965 -0.01342177 -0.106 -0.02342808 -0.008504331 -0.106 -0.02834552 -0.01131141 -0.1084 -0.02623516 -0.00566554 -0.106 -0.02550673 -0.006587088 -0.1059312 -0.02151083 -0.01064366 -0.105765 -0.02036219 -0.005438387 -0.105765 -0.02556741 -0.006538391 -0.105765 -0.0214622 -0.008443653 -0.105765 -0.02857255 -0.0125001 -0.1059312 -0.02742391 -0.0136488 -0.105765 -0.02336746 -0.01254886 -0.105765 -0.02747261 -0.01102852 -0.1084 -0.02595227 -0.01102852 -0.1084 -0.02298241 -0.008058726 -0.1084 -0.02595227 -0.008058726 -0.1084 -0.02298241 -0.008058726 -0.122 -0.02298241 -0.008058726 -0.122 -0.02595227 -0.01102852 -0.122 -0.02298241 -0.01102852 -0.122 -0.02595227 -0.00579375 -0.101 -0.02446734 -0.009543657 -0.101 -0.0207175 -0.006892025 -0.101 -0.02181571 -0.006538391 -0.1015 -0.0214622 -0.005438387 -0.1015 -0.02556741 -0.01117658 -0.101 -0.02283442 -0.01219522 -0.101 -0.02181571 -0.01064366 -0.1015 -0.02036219 -0.007312953 -0.101 -0.02386969 -0.008945941 -0.101 -0.0222367 -0.01177436 -0.101 -0.02506512 -0.01329356 -0.101 -0.02446734 -0.0136488 -0.1015 -0.02336746 -0.009543657 -0.101 -0.02821731 -0.01219522 -0.101 -0.0271191 -0.01254886 -0.1015 -0.02747261 -0.007910668 -0.101 -0.02610033 -0.006892025 -0.101 -0.0271191 -0.008443653 -0.1015 -0.02857255 -0.01014137 -0.101 -0.02669811 -0.007312953 -0.1035 -0.02386969 -0.008945941 -0.1035 -0.0222367 -0.007910668 -0.1035 -0.02610033 -0.01014137 -0.1035 -0.02669811 -0.01177436 -0.1035 -0.02506512 -0.01117658 -0.1035 -0.02283442 0.009699344 -0.111 -0.02058923 0.008970797 -0.111 -0.02269971 0.01250624 -0.111 -0.02269965 0.01250624 -0.1134 -0.02269965 0.01357752 -0.111 -0.02162832 0.01250612 -0.111 -0.0262351 0.01250612 -0.1134 -0.0262351 0.007899463 -0.111 -0.02730637 0.008970737 -0.111 -0.02623516 0.008970797 -0.1134 -0.02269971 0.006860256 -0.111 -0.02342826 0.01177763 -0.111 -0.02834564 0.008970737 -0.1134 -0.02623516 0.01461666 -0.111 -0.02550655 0.01369506 -0.1109312 -0.02151083 0.009638547 -0.110765 -0.02036219 0.0148437 -0.110765 -0.02556741 0.01374363 -0.110765 -0.0214622 0.01183843 -0.110765 -0.02857255 0.007781982 -0.1109312 -0.02742391 0.006633341 -0.110765 -0.02336746 0.007733285 -0.110765 -0.02747261 0.009253561 -0.1134 -0.02595227 0.009253561 -0.1134 -0.02298241 0.01222342 -0.1134 -0.02595227 0.01222342 -0.1134 -0.02298241 0.01222342 -0.136 -0.02298241 0.01222342 -0.136 -0.02595227 0.009253561 -0.136 -0.02298241 0.009253561 -0.136 -0.02595227 0.01133614 -0.106 -0.0222367 0.01073849 -0.106 -0.02071744 0.01339018 -0.106 -0.02181571 0.01374363 -0.1065 -0.0214622 0.01296913 -0.106 -0.02386969 0.01448845 -0.106 -0.02446734 0.0148437 -0.1065 -0.02556741 0.006988525 -0.106 -0.02446734 0.00808686 -0.106 -0.02181571 0.009638547 -0.1065 -0.02036219 0.009105503 -0.106 -0.02283442 0.006633341 -0.1065 -0.02336746 0.008507788 -0.106 -0.02506512 0.00808686 -0.106 -0.0271191 0.01014071 -0.106 -0.02669811 0.01073849 -0.106 -0.02821743 0.007733285 -0.1065 -0.02747261 0.01339018 -0.106 -0.0271191 0.01183843 -0.1065 -0.02857255 0.01237148 -0.106 -0.02610033 0.01296913 -0.1085 -0.02386969 0.01133614 -0.1085 -0.0222367 0.01237148 -0.1085 -0.02610033 0.01014071 -0.1085 -0.02669811 0.008507788 -0.1085 -0.02506512 0.009105503 -0.1085 -0.02283442 -0.008504509 -0.111 0.02061986 -0.007775962 -0.111 0.02273041 -0.01131141 -0.111 0.02273041 -0.01131141 -0.1134 0.02273041 -0.01238262 -0.111 0.02165913 -0.01131135 -0.111 0.02626579 -0.01131135 -0.1134 0.02626579 -0.006704628 -0.111 0.02733719 -0.007775843 -0.111 0.02626585 -0.007775962 -0.1134 0.02273041 -0.005665481 -0.111 0.02345895 -0.0105828 -0.111 0.02837634 -0.007775843 -0.1134 0.02626585 -0.01342183 -0.111 0.02553731 -0.0125001 -0.1109312 0.02154159 -0.008443653 -0.110765 0.02039295 -0.0136488 -0.110765 0.02559804 -0.01254886 -0.110765 0.02149289 -0.01064366 -0.110765 0.02860331 -0.006587088 -0.1109312 0.02745467 -0.005438387 -0.110765 0.02339816 -0.006538391 -0.110765 0.02750337 -0.008058726 -0.1134 0.02598309 -0.008058726 -0.1134 0.02301323 -0.01102852 -0.1134 0.02598309 -0.01102852 -0.1134 0.02301323 -0.01102852 -0.136 0.02301323 -0.01102852 -0.136 0.02598309 -0.008058726 -0.136 0.02301323 -0.008058726 -0.136 0.02598309 -0.01014137 -0.106 0.02226746 -0.009543657 -0.106 0.02074807 -0.01219522 -0.106 0.02184647 -0.01254886 -0.1065 0.02149289 -0.01177436 -0.106 0.02390038 -0.01329368 -0.106 0.02449816 -0.0136488 -0.1065 0.02559804 -0.005793631 -0.106 0.02449816 -0.006892025 -0.106 0.02184647 -0.008443653 -0.1065 0.02039295 -0.007910668 -0.106 0.02286517 -0.005438387 -0.1065 0.02339816 -0.007312953 -0.106 0.02509588 -0.006892025 -0.106 0.02714979 -0.008945941 -0.106 0.0267288 -0.009543657 -0.106 0.02824813 -0.006538391 -0.1065 0.02750337 -0.01219522 -0.106 0.02714979 -0.01064366 -0.1065 0.02860331 -0.01117658 -0.106 0.02613115 -0.01177436 -0.1085 0.02390038 -0.01014137 -0.1085 0.02226746 -0.01117658 -0.1085 0.02613115 -0.008945941 -0.1085 0.0267288 -0.007312953 -0.1085 0.02509588 -0.007910668 -0.1085 0.02286517 -0.002128601 0.01413053 -0.04249989 -0.002829015 0.01422131 -0.04249989 0 0.01449996 -0.04249989 0 0.01449996 -0.04149997 4.98714e-4 0.01428127 -0.04249989 0.002829015 0.01422131 -0.04249989 0.01025301 0.01025301 -0.04149997 -1.41397e-4 0.0142892 -0.04249989 -8.55719e-4 0.01426428 -0.04249989 -0.001493692 0.01421171 -0.04249989 -0.005353093 0.01324939 -0.04249989 -0.005549073 0.01339608 -0.04249989 -0.002227008 0.01157766 -0.04249989 -0.00345695 0.01386547 -0.04249989 -0.004074573 0.01369673 -0.04249989 -0.004754245 0.01347589 -0.04249989 -0.002832591 0.01400637 -0.04249989 -0.007692039 0.01204299 -0.04249989 -0.008055865 0.01205617 -0.04249989 -0.005941152 0.01299631 -0.04249989 -0.006583571 0.01268303 -0.04249989 -0.007144987 0.01237547 -0.04249989 -0.009824454 0.01037698 -0.04249989 -0.01025301 0.01025301 -0.04249989 -0.008284628 0.01164335 -0.04249989 -0.008797764 0.01126056 -0.04249989 -0.009293258 0.01085525 -0.04249989 -0.01156079 0.008399426 -0.04249989 -0.01205617 0.008055865 -0.04249989 -0.01025301 0.01025301 -0.04149997 -0.01027929 0.009926617 -0.04249989 -0.01071357 0.009456276 -0.04249989 -0.011173 0.008908748 -0.04249989 -0.01319581 0.005483925 -0.04249989 -0.01339608 0.005549073 -0.04249989 -0.01192533 0.007873237 -0.04249989 -0.01230412 0.007266998 -0.04249989 -0.01261729 0.006708741 -0.04249989 -0.01290512 0.006136894 -0.04249989 -0.01397764 0.002971053 -0.04249989 -0.01422131 0.002829015 -0.04249989 -0.01342821 0.004887461 -0.04249989 -0.01363354 0.004281103 -0.04249989 -0.0138306 0.003593981 -0.04249989 -0.0142855 3.57379e-4 -0.04249989 -0.01449996 0 -0.04249989 -0.01409667 0.002342045 -0.04249989 -0.01419615 0.00163424 -0.04249989 -0.0142551 9.9682e-4 -0.04249989 -0.0142551 -9.9682e-4 -0.04249989 -0.01422131 -0.002829015 -0.04249989 -0.01449996 0 -0.04149997 -0.0142855 -3.57379e-4 -0.04249989 -0.01342821 -0.004887461 -0.04249989 -0.01339608 -0.005549073 -0.04249989 -0.01419615 -0.00163424 -0.04249989 -0.01409667 -0.002342045 -0.04249989 -0.01397764 -0.002971053 -0.04249989 -0.0138306 -0.003593981 -0.04249989 -0.01363354 -0.004281103 -0.04249989 -0.01230412 -0.007266998 -0.04249989 -0.01205617 -0.008055865 -0.04249989 -0.01319581 -0.005483925 -0.04249989 -0.01290512 -0.006136894 -0.04249989 -0.01261729 -0.006708741 -0.04249989 -0.01027929 -0.009926617 -0.04249989 -0.01025301 -0.01025301 -0.04249989 -0.01192533 -0.007873237 -0.04249989 -0.01156079 -0.008399426 -0.04249989 -0.011173 -0.008908748 -0.04249989 -0.01071357 -0.009456276 -0.04249989 -0.008284628 -0.01164335 -0.04249989 -0.008055865 -0.01205617 -0.04249989 -0.01025301 -0.01025301 -0.04149997 -0.009824454 -0.01037698 -0.04249989 -0.009293258 -0.01085525 -0.04249989 -0.008797764 -0.01126056 -0.04249989 -0.005941152 -0.01299631 -0.04249989 -0.005549073 -0.01339608 -0.04249989 -0.00674355 -0.009670972 -0.04249989 -0.007692039 -0.01204299 -0.04249989 -0.007144987 -0.01237547 -0.04249989 -0.006583571 -0.01268303 -0.04249989 -0.002829015 -0.01422131 -0.04249989 -0.00345695 -0.01386547 -0.04249989 -0.005353093 -0.01324939 -0.04249989 -0.004754245 -0.01347589 -0.04249989 -0.004074573 -0.01369673 -0.04249989 -0.002832591 -0.01400637 -0.04249989 -1.41397e-4 -0.0142892 -0.04249989 0 -0.01449996 -0.04249989 -0.002227008 -0.01157766 -0.04249989 -0.002128601 -0.01413053 -0.04249989 -0.001493692 -0.01421171 -0.04249989 -8.55719e-4 -0.01426428 -0.04249989 0.002481341 -0.01407289 -0.04249989 0.002829015 -0.01422131 -0.04249989 0 -0.01449996 -0.04149997 4.98714e-4 -0.01428127 -0.04249989 0.001137793 -0.01424455 -0.04249989 0.001848638 -0.01416987 -0.04249989 0.005020022 -0.01337909 -0.04249989 0.005549073 -0.01339608 -0.04249989 0.003109157 -0.01394754 -0.04249989 0.003802657 -0.01377469 -0.04249989 0.00441581 -0.01359057 -0.04249989 0.007452249 -0.0121929 -0.04249989 0.008055865 -0.01205617 -0.04249989 0.005682766 -0.01311141 -0.04249989 0.006264269 -0.01284366 -0.04249989 0.006833255 -0.01255029 -0.04249989 0.01002782 -0.01018059 -0.04249989 0.01025301 -0.01025301 -0.04249989 0.007990837 -0.01184684 -0.04249989 0.008513391 -0.01147717 -0.04249989 0.009076654 -0.01103711 -0.04249989 0.009561836 -0.01061952 -0.04249989 0.0117672 -0.008107662 -0.04249989 0.01205617 -0.008055865 -0.04249989 0.01025301 -0.01025301 -0.04149997 0.01052439 -0.009666442 -0.04249989 0.01094675 -0.009185433 -0.04249989 0.01134717 -0.008685946 -0.04249989 0.01305449 -0.005812168 -0.04249989 0.01339608 -0.005549073 -0.04249989 0.01211851 -0.007572472 -0.04249989 0.0124455 -0.007022142 -0.04249989 0.01278114 -0.006391048 -0.04249989 0.01389896 -0.003319621 -0.04249989 0.01422131 -0.002829015 -0.04249989 0.01330173 -0.005221724 -0.04249989 0.01354616 -0.004550099 -0.04249989 0.01373636 -0.003938794 -0.04249989 0.01427561 -6.4e-4 -0.04249989 0.01449996 0 -0.04249989 0.01422578 -0.001352906 -0.04249989 0.01404762 -0.002620518 -0.04249989 0.01415085 -0.001988768 -0.04249989 0.01422578 0.001352906 -0.04249989 0.01422131 0.002829015 -0.04249989 0.01449996 0 -0.04149997 0.01428991 0 -0.04249989 0.01427561 6.4e-4 -0.04249989 0.01354616 0.004550099 -0.04249989 0.01339608 0.005549073 -0.04249989 0.01415085 0.001988768 -0.04249989 0.01404762 0.002620518 -0.04249989 0.01389896 0.003319621 -0.04249989 0.01373636 0.003938794 -0.04249989 0.01211851 0.007572472 -0.04249989 0.01205617 0.008055865 -0.04249989 0.01330173 0.005221724 -0.04249989 0.01305449 0.005812168 -0.04249989 0.01278114 0.006391048 -0.04249989 0.0124455 0.007022142 -0.04249989 0.01052439 0.009666442 -0.04249989 0.01025301 0.01025301 -0.04249989 0.0117672 0.008107662 -0.04249989 0.01134717 0.008685946 -0.04249989 0.01094675 0.009185433 -0.04249989 0.008513391 0.01147717 -0.04249989 0.008055865 0.01205617 -0.04249989 0.00860691 0.008057534 -0.04249989 0.01002782 0.01018059 -0.04249989 0.009561836 0.01061952 -0.04249989 0.009076654 0.01103711 -0.04249989 0.005682766 0.01311141 -0.04249989 0.005549073 0.01339608 -0.04249989 0.007990837 0.01184684 -0.04249989 0.007452249 0.0121929 -0.04249989 0.006833255 0.01255029 -0.04249989 0.006264269 0.01284366 -0.04249989 0.003109157 0.01394754 -0.04249989 0.004585504 0.01086169 -0.04249989 0.005020022 0.01337909 -0.04249989 0.00441581 0.01359057 -0.04249989 0.003802657 0.01377469 -0.04249989 0.002481341 0.01407289 -0.04249989 0.001848638 0.01416987 -0.04249989 0.001137793 0.01424455 -0.04249989 -0.004929244 -0.007307946 -0.04249989 -0.005195856 -0.00300014 -0.04249989 0 -0.005999982 -0.04249989 0 -0.005999982 -0.03849995 1.72525e-4 -0.008813261 -0.04249989 0.005195856 -0.00300014 -0.04249989 0.005196094 -0.002999961 -0.03849995 -0.004523992 -0.007565498 -0.04249989 -0.004289925 -0.007700681 -0.04249989 -0.003864169 -0.007922828 -0.04249989 -0.003426969 -0.00812149 -0.04249989 -0.003176391 -0.008222758 -0.04249989 -0.002723932 -0.008383512 -0.04249989 -0.002263367 -0.008519411 -0.04249989 -0.002001047 -0.008584797 -0.04249989 -0.001530647 -0.008681058 -0.04249989 -0.001055717 -0.008751511 -0.04249989 -7.8689e-4 -0.008779764 -0.04249989 -3.07639e-4 -0.008809626 -0.04249989 -0.005319893 -0.007028639 -0.04249989 -0.005195856 0.00300014 -0.04249989 -0.005196094 -0.002999961 -0.03849995 -3.07639e-4 0.008809626 -0.04249989 0 0.005999982 -0.04249989 -0.005196094 0.002999961 -0.03849995 -0.005319893 0.007028639 -0.04249989 -7.8689e-4 0.008779764 -0.04249989 -0.001055717 0.008751511 -0.04249989 -0.001530647 0.008681058 -0.04249989 -0.002001047 0.008584797 -0.04249989 -0.002263367 0.008519411 -0.04249989 -0.002723932 0.008383512 -0.04249989 -0.003176391 0.008222758 -0.04249989 -0.003426969 0.00812149 -0.04249989 -0.003864169 0.007922828 -0.04249989 -0.004289925 0.007700681 -0.04249989 -0.004523992 0.007565498 -0.04249989 -0.004929244 0.007307946 -0.04249989 0.005040705 0.007231414 -0.04249989 0.005195856 0.00300014 -0.04249989 0 0.005999982 -0.03849995 0.004816651 0.007382631 -0.04249989 0.004407465 0.007633984 -0.04249989 0.003985226 0.007862687 -0.04249989 0.003742218 0.007981181 -0.04249989 0.003302097 0.008173108 -0.04249989 0.002852201 0.008340775 -0.04249989 0.002595067 0.008424341 -0.04249989 0.002132475 0.008553147 -0.04249989 0.001663625 0.008656561 -0.04249989 0.001397371 0.008703529 -0.04249989 9.21418e-4 0.00876671 -0.04249989 4.42681e-4 0.008803844 -0.04249989 1.72525e-4 0.008813261 -0.04249989 0.005426943 0.006946265 -0.04249989 0.005196094 0.002999961 -0.03849995 4.42681e-4 -0.008803844 -0.04249989 9.21418e-4 -0.00876671 -0.04249989 0.001397371 -0.008703529 -0.04249989 0.001663625 -0.008656561 -0.04249989 0.002132475 -0.008553147 -0.04249989 0.002595067 -0.008424341 -0.04249989 0.002852201 -0.008340775 -0.04249989 0.003302097 -0.008173108 -0.04249989 0.003742218 -0.007981181 -0.04249989 0.003985226 -0.007862687 -0.04249989 0.004407465 -0.007633984 -0.04249989 0.004816651 -0.007382631 -0.04249989 0.005040705 -0.007231414 -0.04249989 0.005426943 -0.006946265 -0.04249989 0.01427561 6.4e-4 -0.04244995 0.01177257 6.4e-4 -0.04249989 0.01177257 6.4e-4 -0.04244995 0.01428991 0 -0.04244995 0.01177257 -6.4e-4 -0.04249989 0.01427561 -6.4e-4 -0.04244995 0.01178991 0 -0.04249989 0.01177257 -6.4e-4 -0.04244995 0.01174712 -0.001004636 -0.04249989 0.01178991 0 -0.04244995 0.01174712 0.001004636 -0.04249989 0.01404762 0.002620518 -0.04244995 0.01156896 0.002272129 -0.04249989 0.01156896 0.002272129 -0.04244995 0.01415085 0.001988768 -0.04244995 0.01422578 0.001352906 -0.04244995 0.01167517 -0.001640737 -0.04249989 0.01167517 0.001640737 -0.04249989 0.01174712 0.001004636 -0.04244995 0.01156896 -0.002272129 -0.04249989 0.01167517 0.001640737 -0.04244995 0.0114929 0.002629697 -0.04249989 0.0114929 -0.002629697 -0.04249989 0.01354616 0.004550099 -0.04244995 0.01114004 0.003860116 -0.04249989 0.01114004 0.003860116 -0.04244995 0.01373636 0.003938794 -0.04244995 0.01389896 0.003319621 -0.04244995 0.01137495 0 -0.04249989 0.01133316 0.003249764 -0.04249989 0.0114929 0.002629697 -0.04244995 0.01133316 -0.003249764 -0.04249989 0.008043229 0.008043229 -0.04249989 0.01133316 0.003249764 -0.04244995 0.01101505 0.004203677 -0.04249989 0.01278114 0.006391048 -0.04244995 0.01049447 0.005373001 -0.04249989 0.01049447 0.005373001 -0.04244995 0.01305449 0.005812168 -0.04244995 0.01330173 0.005221724 -0.04244995 0.01077061 0.004795372 -0.04249989 0.01101505 0.004203677 -0.04244995 0.01077061 0.004795372 -0.04244995 0.0103228 0.00569576 -0.04249989 0.0117672 0.008107662 -0.04244995 0.009644567 0.00678128 -0.04249989 0.009644567 0.00678128 -0.04244995 0.01211851 0.007572472 -0.04244995 0.0124455 0.007022142 -0.04244995 0.00999844 0.006247699 -0.04249989 0.0103228 0.00569576 -0.04244995 0.00999844 0.006247699 -0.04244995 0.009429693 0.007076978 -0.04249989 0.01052439 0.009666442 -0.04244995 0.00860691 0.008057534 -0.04244995 0.01094675 0.009185433 -0.04244995 0.01134717 0.008685946 -0.04244995 0.009031653 0.007578432 -0.04249989 0.009429693 0.007076978 -0.04244995 0.009031653 0.007578432 -0.04244995 0.008352994 0.00832051 -0.04249989 0.009076654 0.01103711 -0.04244995 0.007401764 0.009176969 -0.04249989 0.007401764 0.009176969 -0.04244995 0.009561836 0.01061952 -0.04244995 0.01002782 0.01018059 -0.04244995 0.007889032 0.008761644 -0.04249989 0.008352994 0.00832051 -0.04244995 0 0.01137495 -0.04249989 0.007889032 0.008761644 -0.04244995 0.007113695 0.009402036 -0.04249989 0.007452249 0.0121929 -0.04244995 0.006052553 0.01011776 -0.04249989 0.006052553 0.01011776 -0.04244995 0.007990837 0.01184684 -0.04244995 0.008513391 0.01147717 -0.04244995 0.00659281 0.009774327 -0.04249989 0.007113695 0.009402036 -0.04244995 0.00659281 0.009774327 -0.04244995 0.005735993 0.01030051 -0.04249989 0.005682766 0.01311141 -0.04244995 0.004585504 0.01086169 -0.04244995 0.006264269 0.01284366 -0.04244995 0.006833255 0.01255029 -0.04244995 0.005168378 0.01059675 -0.04249989 0.005735993 0.01030051 -0.04244995 0.005168378 0.01059675 -0.04244995 0.004246592 0.01099854 -0.04249989 0.003802657 0.01377469 -0.04244995 0.003029227 0.01139414 -0.04249989 0.003029227 0.01139414 -0.04244995 0.00441581 0.01359057 -0.04244995 0.005020022 0.01337909 -0.04244995 0.003643274 0.01121294 -0.04249989 0.004246592 0.01099854 -0.04244995 0.003643274 0.01121294 -0.04244995 0.00267452 0.01148253 -0.04249989 0.001848638 0.01416987 -0.04244995 0.001413941 0.01170486 -0.04249989 0.001413941 0.01170486 -0.04244995 0.002481341 0.01407289 -0.04244995 0.003109157 0.01394754 -0.04244995 0.0020473 0.0116108 -0.04249989 0.00267452 0.01148253 -0.04244995 0.0020473 0.0116108 -0.04244995 0.001050353 0.011743 -0.04249989 -1.41397e-4 0.0142892 -0.04244995 -5.94079e-4 0.01177495 -0.04249989 -2.28752e-4 0.01178777 -0.04249989 -2.28752e-4 0.01178777 -0.04244995 4.98714e-4 0.01428127 -0.04244995 0.001137793 0.01424455 -0.04244995 4.11465e-4 0.0117827 -0.04249989 0.001050353 0.011743 -0.04244995 4.11465e-4 0.0117827 -0.04244995 -0.008043229 0.008043229 -0.04249989 -0.002128601 0.01413053 -0.04244995 -0.001866996 0.0116412 -0.04249989 -0.001866996 0.0116412 -0.04244995 -0.001493692 0.01421171 -0.04244995 -8.55719e-4 0.01426428 -0.04244995 -0.001232326 0.0117253 -0.04249989 -5.94079e-4 0.01177495 -0.04244995 -0.001232326 0.0117253 -0.04244995 -0.004074573 0.01369673 -0.04244995 -0.003816664 0.01115506 -0.04249989 -0.00346899 0.01126801 -0.04249989 -0.00346899 0.01126801 -0.04244995 -0.00345695 0.01386547 -0.04244995 -0.002832591 0.01400637 -0.04244995 -0.002852201 0.01143974 -0.04249989 -0.002227008 0.01157766 -0.04244995 -0.002852201 0.01143974 -0.04244995 -0.005941152 0.01299631 -0.04244995 -0.005331993 0.01051533 -0.04249989 -0.005003452 0.01067554 -0.04249989 -0.005003452 0.01067554 -0.04244995 -0.005353093 0.01324939 -0.04244995 -0.004754245 0.01347589 -0.04244995 -0.004416525 0.01093149 -0.04249989 -0.003816664 0.01115506 -0.04244995 -0.004416525 0.01093149 -0.04244995 -0.007692039 0.01204299 -0.04244995 -0.00674355 0.009670972 -0.04249989 -0.00644052 0.009875357 -0.04249989 -0.00644052 0.009875357 -0.04244995 -0.007144987 0.01237547 -0.04244995 -0.006583571 0.01268303 -0.04244995 -0.005894899 0.01021039 -0.04249989 -0.005331993 0.01051533 -0.04244995 -0.005894899 0.01021039 -0.04244995 -0.009293258 0.01085525 -0.04244995 -0.008023917 0.008638322 -0.04249989 -0.00775218 0.00888288 -0.04249989 -0.00775218 0.00888288 -0.04244995 -0.008797764 0.01126056 -0.04244995 -0.008284628 0.01164335 -0.04244995 -0.007258594 0.009290635 -0.04249989 -0.00674355 0.009670972 -0.04244995 -0.007258594 0.009290635 -0.04244995 -0.01071357 0.009456276 -0.04244995 -0.009148061 0.007437527 -0.04249989 -0.00891304 0.00771749 -0.04249989 -0.00891304 0.00771749 -0.04244995 -0.01027929 0.009926617 -0.04244995 -0.009824454 0.01037698 -0.04244995 -0.008480966 0.008189976 -0.04249989 -0.008023917 0.008638322 -0.04244995 -0.01137495 0 -0.04249989 -0.008480966 0.008189976 -0.04244995 -0.01192533 0.007873237 -0.04244995 -0.01009404 0.006091952 -0.04249989 -0.009900391 0.006401956 -0.04249989 -0.009900391 0.006401956 -0.04244995 -0.01156079 0.008399426 -0.04244995 -0.011173 0.008908748 -0.04244995 -0.009538292 0.006929934 -0.04249989 -0.009148061 0.007437527 -0.04244995 -0.009538292 0.006929934 -0.04244995 -0.01290512 0.006136894 -0.04244995 -0.01084369 0.004627764 -0.04249989 -0.01069504 0.004961788 -0.04249989 -0.01069504 0.004961788 -0.04244995 -0.01261729 0.006708741 -0.04244995 -0.01230412 0.007266998 -0.04244995 -0.01040995 0.005535066 -0.04249989 -0.01009404 0.006091952 -0.04244995 -0.01040995 0.005535066 -0.04244995 -0.01363354 0.004281103 -0.04244995 -0.01138228 0.003073573 -0.04249989 -0.01128149 0.003425002 -0.04249989 -0.01128149 0.003425002 -0.04244995 -0.01342821 0.004887461 -0.04244995 -0.01319581 0.005483925 -0.04244995 -0.01107895 0.004032373 -0.04249989 -0.01084369 0.004627764 -0.04244995 -0.01107895 0.004032373 -0.04244995 -0.01409667 0.002342045 -0.04244995 -0.01169919 0.001459538 -0.04249989 -0.01164835 0.001821637 -0.04249989 -0.01164835 0.001821637 -0.04244995 -0.01397764 0.002971053 -0.04244995 -0.0138306 0.003593981 -0.04244995 -0.01153224 -0.002451241 -0.04249989 -0.01153224 0.002451241 -0.04249989 -0.01138228 0.003073573 -0.04244995 -0.01138228 -0.003073573 -0.04249989 -0.01164835 -0.001821637 -0.04249989 -0.01153224 0.002451241 -0.04244995 -0.01169919 -0.001459538 -0.04249989 -0.0142855 3.57379e-4 -0.04244995 -0.01178848 1.82775e-4 -0.04249989 -0.01178848 1.82775e-4 -0.04244995 -0.0142551 9.9682e-4 -0.04244995 -0.01419615 0.00163424 -0.04244995 -0.01176118 -8.22429e-4 -0.04249989 -0.01176118 8.22429e-4 -0.04249989 -0.01169919 0.001459538 -0.04244995 -0.01178848 -1.82775e-4 -0.04249989 -0.01176118 8.22429e-4 -0.04244995 -0.01419615 -0.00163424 -0.04244995 -0.01169919 -0.001459538 -0.04244995 -0.0142551 -9.9682e-4 -0.04244995 -0.0142855 -3.57379e-4 -0.04244995 -0.01178848 -1.82775e-4 -0.04244995 -0.01176118 -8.22429e-4 -0.04244995 -0.0138306 -0.003593981 -0.04244995 -0.01138228 -0.003073573 -0.04244995 -0.01397764 -0.002971053 -0.04244995 -0.01409667 -0.002342045 -0.04244995 -0.01164835 -0.001821637 -0.04244995 -0.01153224 -0.002451241 -0.04244995 -0.01128149 -0.003425002 -0.04249989 -0.01319581 -0.005483925 -0.04244995 -0.01084369 -0.004627764 -0.04249989 -0.01084369 -0.004627764 -0.04244995 -0.01342821 -0.004887461 -0.04244995 -0.01363354 -0.004281103 -0.04244995 -0.008043229 -0.008043229 -0.04249989 -0.01107895 -0.004032373 -0.04249989 -0.01128149 -0.003425002 -0.04244995 -0.01107895 -0.004032373 -0.04244995 -0.01069504 -0.004961788 -0.04249989 -0.01230412 -0.007266998 -0.04244995 -0.01009404 -0.006091952 -0.04249989 -0.01009404 -0.006091952 -0.04244995 -0.01261729 -0.006708741 -0.04244995 -0.01290512 -0.006136894 -0.04244995 -0.01040995 -0.005535066 -0.04249989 -0.01069504 -0.004961788 -0.04244995 -0.01040995 -0.005535066 -0.04244995 -0.009900391 -0.006401956 -0.04249989 -0.011173 -0.008908748 -0.04244995 -0.009148061 -0.007437527 -0.04249989 -0.009148061 -0.007437527 -0.04244995 -0.01156079 -0.008399426 -0.04244995 -0.01192533 -0.007873237 -0.04244995 -0.009538292 -0.006929934 -0.04249989 -0.009900391 -0.006401956 -0.04244995 -0.009538292 -0.006929934 -0.04244995 -0.00891304 -0.00771749 -0.04249989 -0.009824454 -0.01037698 -0.04244995 -0.008023917 -0.008638322 -0.04249989 -0.008023917 -0.008638322 -0.04244995 -0.01027929 -0.009926617 -0.04244995 -0.01071357 -0.009456276 -0.04244995 -0.008480966 -0.008189976 -0.04249989 -0.00891304 -0.00771749 -0.04244995 -0.008480966 -0.008189976 -0.04244995 -0.00775218 -0.00888288 -0.04249989 0 -0.01137495 -0.04249989 -0.008284628 -0.01164335 -0.04244995 -0.00674355 -0.009670972 -0.04244995 -0.008797764 -0.01126056 -0.04244995 -0.009293258 -0.01085525 -0.04244995 -0.007258594 -0.009290635 -0.04249989 -0.00775218 -0.00888288 -0.04244995 -0.007258594 -0.009290635 -0.04244995 -0.00644052 -0.009875357 -0.04249989 -0.006583571 -0.01268303 -0.04244995 -0.005331993 -0.01051533 -0.04249989 -0.005331993 -0.01051533 -0.04244995 -0.007144987 -0.01237547 -0.04244995 -0.007692039 -0.01204299 -0.04244995 -0.005894899 -0.01021039 -0.04249989 -0.00644052 -0.009875357 -0.04244995 -0.005894899 -0.01021039 -0.04244995 -0.005003452 -0.01067554 -0.04249989 -0.004754245 -0.01347589 -0.04244995 -0.003816664 -0.01115506 -0.04249989 -0.003816664 -0.01115506 -0.04244995 -0.005353093 -0.01324939 -0.04244995 -0.005941152 -0.01299631 -0.04244995 -0.004416525 -0.01093149 -0.04249989 -0.005003452 -0.01067554 -0.04244995 -0.004416525 -0.01093149 -0.04244995 -0.00346899 -0.01126801 -0.04249989 -0.002832591 -0.01400637 -0.04244995 -0.002227008 -0.01157766 -0.04244995 -0.00345695 -0.01386547 -0.04244995 -0.004074573 -0.01369673 -0.04244995 -0.002852201 -0.01143974 -0.04249989 -0.00346899 -0.01126801 -0.04244995 -0.002852201 -0.01143974 -0.04244995 -0.001866996 -0.0116412 -0.04249989 -8.55719e-4 -0.01426428 -0.04244995 -2.28752e-4 -0.01178777 -0.04249989 -5.94079e-4 -0.01177495 -0.04249989 -5.94079e-4 -0.01177495 -0.04244995 -0.001493692 -0.01421171 -0.04244995 -0.002128601 -0.01413053 -0.04244995 -0.001232326 -0.0117253 -0.04249989 -0.001866996 -0.0116412 -0.04244995 -0.001232326 -0.0117253 -0.04244995 0.001137793 -0.01424455 -0.04244995 0.001413941 -0.01170486 -0.04249989 0.001050353 -0.011743 -0.04249989 0.001050353 -0.011743 -0.04244995 4.98714e-4 -0.01428127 -0.04244995 -1.41397e-4 -0.0142892 -0.04244995 4.11465e-4 -0.0117827 -0.04249989 -2.28752e-4 -0.01178777 -0.04244995 0.008043229 -0.008043229 -0.04249989 4.11465e-4 -0.0117827 -0.04244995 0.003109157 -0.01394754 -0.04244995 0.003029227 -0.01139414 -0.04249989 0.00267452 -0.01148253 -0.04249989 0.00267452 -0.01148253 -0.04244995 0.002481341 -0.01407289 -0.04244995 0.001848638 -0.01416987 -0.04244995 0.0020473 -0.0116108 -0.04249989 0.001413941 -0.01170486 -0.04244995 0.0020473 -0.0116108 -0.04244995 0.005020022 -0.01337909 -0.04244995 0.004585504 -0.01086169 -0.04249989 0.004246592 -0.01099854 -0.04249989 0.004246592 -0.01099854 -0.04244995 0.00441581 -0.01359057 -0.04244995 0.003802657 -0.01377469 -0.04244995 0.003643274 -0.01121294 -0.04249989 0.003029227 -0.01139414 -0.04244995 0.003643274 -0.01121294 -0.04244995 0.006833255 -0.01255029 -0.04244995 0.006052553 -0.01011776 -0.04249989 0.005735993 -0.01030051 -0.04249989 0.005735993 -0.01030051 -0.04244995 0.006264269 -0.01284366 -0.04244995 0.005682766 -0.01311141 -0.04244995 0.005168378 -0.01059675 -0.04249989 0.004585504 -0.01086169 -0.04244995 0.005168378 -0.01059675 -0.04244995 0.008513391 -0.01147717 -0.04244995 0.007401764 -0.009176969 -0.04249989 0.007113695 -0.009402036 -0.04249989 0.007113695 -0.009402036 -0.04244995 0.007990837 -0.01184684 -0.04244995 0.007452249 -0.0121929 -0.04244995 0.00659281 -0.009774327 -0.04249989 0.006052553 -0.01011776 -0.04244995 0.00659281 -0.009774327 -0.04244995 0.01002782 -0.01018059 -0.04244995 0.00860691 -0.008057534 -0.04249989 0.008352994 -0.00832051 -0.04249989 0.008352994 -0.00832051 -0.04244995 0.009561836 -0.01061952 -0.04244995 0.009076654 -0.01103711 -0.04244995 0.007889032 -0.008761644 -0.04249989 0.007401764 -0.009176969 -0.04244995 0.007889032 -0.008761644 -0.04244995 0.01134717 -0.008685946 -0.04244995 0.009644567 -0.00678128 -0.04249989 0.009429693 -0.007076978 -0.04249989 0.009429693 -0.007076978 -0.04244995 0.01094675 -0.009185433 -0.04244995 0.01052439 -0.009666442 -0.04244995 0.009031653 -0.007578432 -0.04249989 0.00860691 -0.008057534 -0.04244995 0.009031653 -0.007578432 -0.04244995 0.0124455 -0.007022142 -0.04244995 0.01049447 -0.005373001 -0.04249989 0.0103228 -0.00569576 -0.04249989 0.0103228 -0.00569576 -0.04244995 0.01211851 -0.007572472 -0.04244995 0.0117672 -0.008107662 -0.04244995 0.00999844 -0.006247699 -0.04249989 0.009644567 -0.00678128 -0.04244995 0.00999844 -0.006247699 -0.04244995 0.01330173 -0.005221724 -0.04244995 0.01114004 -0.003860116 -0.04249989 0.01101505 -0.004203677 -0.04249989 0.01101505 -0.004203677 -0.04244995 0.01305449 -0.005812168 -0.04244995 0.01278114 -0.006391048 -0.04244995 0.01077061 -0.004795372 -0.04249989 0.01049447 -0.005373001 -0.04244995 0.01077061 -0.004795372 -0.04244995 0.01389896 -0.003319621 -0.04244995 0.0114929 -0.002629697 -0.04244995 0.01373636 -0.003938794 -0.04244995 0.01354616 -0.004550099 -0.04244995 0.01114004 -0.003860116 -0.04244995 0.01133316 -0.003249764 -0.04244995 0.01422578 -0.001352906 -0.04244995 0.01174712 -0.001004636 -0.04244995 0.01415085 -0.001988768 -0.04244995 0.01404762 -0.002620518 -0.04244995 0.01156896 -0.002272129 -0.04244995 0.01167517 -0.001640737 -0.04244995 -0.0111249 0 -0.04249989 -0.01006489 0 -0.04249989 -0.01005345 -4.8e-4 -0.04249989 -0.01005345 -4.8e-4 -0.0424 -0.01002246 -9.23855e-4 -0.04249989 -0.008801877 -4.8e-4 -0.04249989 -0.008801877 -4.8e-4 -0.0424 -0.01005345 4.8e-4 -0.04249989 -0.01006489 0 -0.0424 -0.01002246 9.23855e-4 -0.04249989 -0.008801877 4.8e-4 -0.04249989 -0.01005345 4.8e-4 -0.0424 -0.00881499 0 -0.04249989 -0.008801877 4.8e-4 -0.0424 -0.008783042 7.49662e-4 -0.04249989 -0.00881499 0 -0.0424 -0.008783042 -7.49662e-4 -0.04249989 -0.009967029 -0.001400709 -0.04249989 -0.009888887 -0.001874506 -0.04249989 -0.009888887 -0.001874506 -0.0424 -0.00979638 -0.00230962 -0.04249989 -0.008649408 -0.001700282 -0.04249989 -0.008649408 -0.001700282 -0.0424 -0.009967029 -0.001400709 -0.0424 -0.01002246 -9.23855e-4 -0.0424 -0.008729159 0.001226723 -0.04249989 -0.008729159 -0.001226723 -0.04249989 -0.008783042 -7.49662e-4 -0.0424 -0.008649408 0.001700282 -0.04249989 -0.008729159 -0.001226723 -0.0424 -0.008593201 -0.001964688 -0.04249989 -0.008593201 0.001964688 -0.04249989 -0.009675085 -0.002774178 -0.04249989 -0.009531736 -0.003232479 -0.04249989 -0.009531736 -0.003232479 -0.0424 -0.009379565 -0.003650546 -0.04249989 -0.008328616 -0.002887487 -0.04249989 -0.008328616 -0.002887487 -0.0424 -0.009675085 -0.002774178 -0.0424 -0.00979638 -0.00230962 -0.0424 -0.008473515 0.002429664 -0.04249989 -0.008473515 -0.002429664 -0.04249989 -0.008593201 -0.001964688 -0.0424 -0.008328616 0.002887487 -0.04249989 -0.008473515 -0.002429664 -0.0424 -0.008236169 -0.003141522 -0.04249989 -0.008236169 0.003141522 -0.04249989 -0.007866442 -0.007866442 -0.04249989 -0.009194791 -0.004093766 -0.04249989 -0.008989095 -0.004527628 -0.04249989 -0.008989095 -0.004527628 -0.0424 -0.008780241 -0.004920482 -0.04249989 -0.007845699 -0.004018545 -0.04249989 -0.007845699 -0.004018545 -0.0424 -0.009194791 -0.004093766 -0.0424 -0.009379565 -0.003650546 -0.0424 -0.008052885 0.003585278 -0.04249989 -0.008052885 -0.003585278 -0.04249989 -0.008236169 -0.003141522 -0.0424 -0.007845699 0.004018545 -0.04249989 -0.008052885 -0.003585278 -0.0424 -0.007718801 -0.004257202 -0.04249989 -0.007718801 0.004257202 -0.04249989 -0.008535563 -0.005333602 -0.04249989 -0.008271515 -0.005734622 -0.04249989 -0.008271515 -0.005734622 -0.0424 -0.00800997 -0.006094515 -0.04249989 -0.007210016 -0.005071282 -0.04249989 -0.007210016 -0.005071282 -0.0424 -0.008535563 -0.005333602 -0.0424 -0.008780241 -0.004920482 -0.0424 -0.007475495 0.004671216 -0.04249989 -0.007475495 -0.004671216 -0.04249989 -0.007718801 -0.004257202 -0.0424 -0.007210016 0.005071282 -0.04249989 -0.007475495 -0.004671216 -0.0424 -0.00705111 -0.005290031 -0.04249989 -0.00705111 0.005290031 -0.04249989 -0.007710218 -0.006469607 -0.04249989 -0.007392883 -0.006829977 -0.04249989 -0.007392883 -0.006829977 -0.0424 -0.007083833 -0.007149994 -0.04249989 -0.006434023 -0.006025433 -0.04249989 -0.006434023 -0.006025433 -0.0424 -0.007710218 -0.006469607 -0.0424 -0.00800997 -0.006094515 -0.0424 -0.00675261 0.005666077 -0.04249989 -0.00675261 -0.005666077 -0.04249989 -0.00705111 -0.005290031 -0.0424 -0.006434023 0.006025433 -0.04249989 -0.00675261 -0.005666077 -0.0424 -0.006246328 -0.006219804 -0.04249989 -0.006246328 0.006219804 -0.04249989 -0.006734788 -0.007479727 -0.04249989 -0.006370425 -0.007792413 -0.04249989 -0.006370425 -0.007792413 -0.0424 -0.006019771 -0.008066356 -0.04249989 -0.00553292 -0.006862223 -0.04249989 -0.00553292 -0.006862223 -0.0424 -0.006734788 -0.007479727 -0.0424 -0.007083833 -0.007149994 -0.0424 -0.005898356 0.006550729 -0.04249989 -0.005898356 -0.006550729 -0.04249989 -0.006246328 -0.006219804 -0.0424 -0.00553292 0.006862223 -0.04249989 -0.005898356 -0.006550729 -0.0424 -0.005628228 -0.008344233 -0.04249989 -0.00522387 -0.008603155 -0.04249989 -0.00522387 -0.008603155 -0.0424 -0.004838526 -0.0088256 -0.04249989 -0.004523992 -0.007565498 -0.0424 -0.005628228 -0.008344233 -0.0424 -0.006019771 -0.008066356 -0.0424 -0.005319893 -0.007028639 -0.0424 -0.004929244 -0.007307946 -0.0424 -0.004412174 -0.009046316 -0.04249989 -0.003975749 -0.009246468 -0.04249989 -0.003975749 -0.009246468 -0.0424 -0.003563106 -0.009413123 -0.04249989 -0.003426969 -0.00812149 -0.0424 -0.004412174 -0.009046316 -0.0424 -0.004838526 -0.0088256 -0.0424 -0.004289925 -0.007700681 -0.0424 -0.003864169 -0.007922828 -0.0424 0 -0.0111249 -0.04249989 -0.00311017 -0.009572327 -0.04249989 -0.002650201 -0.009709775 -0.04249989 -0.002650201 -0.009709775 -0.0424 -0.002218425 -0.009817421 -0.04249989 -0.002263367 -0.008519411 -0.0424 -0.00311017 -0.009572327 -0.0424 -0.003563106 -0.009413123 -0.0424 -0.003176391 -0.008222758 -0.0424 -0.002723932 -0.008383512 -0.0424 -0.001747727 -0.009912073 -0.04249989 -0.001273036 -0.009984135 -0.04249989 -0.001273036 -0.009984135 -0.0424 -8.30571e-4 -0.01003056 -0.04249989 -0.001055717 -0.008751511 -0.0424 -0.001747727 -0.009912073 -0.0424 -0.002218425 -0.009817421 -0.0424 -0.002001047 -0.008584797 -0.0424 -0.001530647 -0.008681058 -0.0424 -3.51263e-4 -0.01005882 -0.04249989 1.28844e-4 -0.01006412 -0.04249989 1.28844e-4 -0.01006412 -0.0424 1.72525e-4 -0.008813261 -0.0424 -3.51263e-4 -0.01005882 -0.0424 -8.30571e-4 -0.01003056 -0.0424 -7.8689e-4 -0.008779764 -0.0424 -3.07639e-4 -0.008809626 -0.0424 0.001051962 -0.01000976 -0.04249989 0.001528203 -0.009948253 -0.04249989 0.001528203 -0.009948253 -0.0424 0.001397371 -0.008703529 -0.0424 0.001966357 -0.009871006 -0.04249989 5.73511e-4 -0.01004856 -0.04249989 0.001051962 -0.01000976 -0.0424 5.73511e-4 -0.01004856 -0.0424 4.42681e-4 -0.008803844 -0.0424 9.21418e-4 -0.00876671 -0.0424 0.002434909 -0.009765982 -0.04249989 0.002897799 -0.009638786 -0.04249989 0.002897799 -0.009638786 -0.0424 0.002595067 -0.008424341 -0.0424 0.003320991 -0.009501278 -0.04249989 0.002434909 -0.009765982 -0.0424 0.001966357 -0.009871006 -0.0424 0.001663625 -0.008656561 -0.0424 0.002132475 -0.008553147 -0.0424 0.003770411 -0.00933206 -0.04249989 0.004211068 -0.009141623 -0.04249989 0.004211068 -0.009141623 -0.0424 0.003742218 -0.007981181 -0.0424 0.004611015 -0.008946597 -0.04249989 0.007866442 -0.007866442 -0.04249989 0.003770411 -0.00933206 -0.0424 0.003320991 -0.009501278 -0.0424 0.002852201 -0.008340775 -0.0424 0.003302097 -0.008173108 -0.0424 0.00503242 -0.008716523 -0.04249989 0.00544244 -0.008466601 -0.04249989 0.00544244 -0.008466601 -0.0424 0.004816651 -0.007382631 -0.0424 0.005811333 -0.008217811 -0.04249989 0.00503242 -0.008716523 -0.0424 0.004611015 -0.008946597 -0.0424 0.003985226 -0.007862687 -0.0424 0.004407465 -0.007633984 -0.0424 0.006196618 -0.007931292 -0.04249989 0.006567776 -0.007626712 -0.04249989 0.006567776 -0.007626712 -0.0424 0.005998134 -0.006459534 -0.04249989 0.005797207 -0.006640434 -0.04249989 0.005797207 -0.006640434 -0.0424 0.006898403 -0.007328987 -0.04249989 0.006196618 -0.007931292 -0.0424 0.005811333 -0.008217811 -0.0424 0.005040705 -0.007231414 -0.0424 0.005797207 0.006640434 -0.04249989 0.005426943 -0.006946265 -0.0424 0.005998134 0.006459534 -0.04249989 0.007240116 -0.006991684 -0.04249989 0.007565319 -0.006638467 -0.04249989 0.007565319 -0.006638467 -0.0424 0.006838679 -0.005561888 -0.04249989 0.006664991 -0.005769014 -0.04249989 0.006664991 -0.005769014 -0.0424 0.007851302 -0.006297588 -0.04249989 0.007240116 -0.006991684 -0.0424 0.006898403 -0.007328987 -0.0424 0.00634098 0.006123304 -0.04249989 0.00634098 -0.006123304 -0.04249989 0.005998134 -0.006459534 -0.0424 0.006664991 0.005769014 -0.04249989 0.00634098 -0.006123304 -0.0424 0.006838679 0.005561888 -0.04249989 0.008142709 -0.005916059 -0.04249989 0.008415579 -0.005520999 -0.04249989 0.008415579 -0.005520999 -0.0424 0.007546246 -0.004556 -0.04249989 0.007403016 -0.004785299 -0.04249989 0.007403016 -0.004785299 -0.0424 0.008651375 -0.005143642 -0.04249989 0.008142709 -0.005916059 -0.0424 0.007851302 -0.006297588 -0.0424 0.007131457 0.005181312 -0.04249989 0.007131457 -0.005181312 -0.04249989 0.006838679 -0.005561888 -0.0424 0.007403016 0.004785299 -0.04249989 0.007131457 -0.005181312 -0.0424 0.007546246 0.004556 -0.04249989 0.008886814 -0.004725158 -0.04249989 0.009102046 -0.004295945 -0.04249989 0.009102046 -0.004295945 -0.0424 0.008106887 -0.00346148 -0.04249989 0.007996976 -0.003708422 -0.04249989 0.007996976 -0.003708422 -0.0424 0.009283065 -0.003889501 -0.04249989 0.008886814 -0.004725158 -0.0424 0.008651375 -0.005143642 -0.0424 0.007783174 0.00413835 -0.04249989 0.007783174 -0.00413835 -0.04249989 0.007546246 -0.004556 -0.0424 0.007996976 0.003708422 -0.04249989 0.007783174 -0.00413835 -0.0424 0.008106887 0.00346148 -0.04249989 0.0111249 0 -0.04249989 0.009458005 -0.003442347 -0.04249989 0.009611368 -0.002987444 -0.04249989 0.009611368 -0.002987444 -0.0424 0.008509755 -0.002299427 -0.04249989 0.008435249 -0.002559304 -0.04249989 0.008435249 -0.002559304 -0.0424 0.009734034 -0.002559721 -0.04249989 0.009458005 -0.003442347 -0.0424 0.009283065 -0.003889501 -0.0424 0.008283376 0.003014862 -0.04249989 0.008283376 -0.003014862 -0.04249989 0.008106887 -0.00346148 -0.0424 0.008435249 0.002559304 -0.04249989 0.008283376 -0.003014862 -0.0424 0.008509755 0.002299427 -0.04249989 0.009845018 -0.00209254 -0.04249989 0.00993365 -0.00162065 -0.04249989 0.00993365 -0.00162065 -0.0424 0.008746981 -0.001092731 -0.04249989 0.008709371 -0.001360476 -0.04249989 0.008709371 -0.001360476 -0.0424 0.00999552 -0.001180112 -0.04249989 0.009845018 -0.00209254 -0.0424 0.009734034 -0.002559721 -0.0424 0.008622348 0.001832664 -0.04249989 0.008622348 -0.001832664 -0.04249989 0.008509755 -0.002299427 -0.0424 0.008709371 0.001360476 -0.04249989 0.008622348 -0.001832664 -0.0424 0.008746981 0.001092731 -0.04249989 0.01004046 -7.02099e-4 -0.04249989 0.01006245 -2.22469e-4 -0.04249989 0.01006245 -2.22469e-4 -0.0424 0.01006245 2.22469e-4 -0.04249989 0.008813917 -1.3516e-4 -0.04249989 0.008813917 -1.3516e-4 -0.0424 0.01004046 -7.02099e-4 -0.0424 0.00999552 -0.001180112 -0.0424 0.008793473 6.14903e-4 -0.04249989 0.008793473 -6.14903e-4 -0.04249989 0.008746981 -0.001092731 -0.0424 0.008813917 1.3516e-4 -0.04249989 0.008793473 -6.14903e-4 -0.0424 0.01004046 7.02099e-4 -0.04249989 0.00999552 0.001180112 -0.04249989 0.00999552 0.001180112 -0.0424 0.00993365 0.00162065 -0.04249989 0.008746981 0.001092731 -0.0424 0.01004046 7.02099e-4 -0.0424 0.01006245 2.22469e-4 -0.0424 0.008813917 1.3516e-4 -0.0424 0.008793473 6.14903e-4 -0.0424 0.009845018 0.00209254 -0.04249989 0.009734034 0.002559721 -0.04249989 0.009734034 0.002559721 -0.0424 0.009611368 0.002987444 -0.04249989 0.008509755 0.002299427 -0.0424 0.009845018 0.00209254 -0.0424 0.00993365 0.00162065 -0.0424 0.008709371 0.001360476 -0.0424 0.008622348 0.001832664 -0.0424 0.009458005 0.003442347 -0.04249989 0.009283065 0.003889501 -0.04249989 0.009283065 0.003889501 -0.0424 0.009102046 0.004295945 -0.04249989 0.008106887 0.00346148 -0.0424 0.009458005 0.003442347 -0.0424 0.009611368 0.002987444 -0.0424 0.008435249 0.002559304 -0.0424 0.008283376 0.003014862 -0.0424 0.007866442 0.007866442 -0.04249989 0.008886814 0.004725158 -0.04249989 0.008651375 0.005143642 -0.04249989 0.008651375 0.005143642 -0.0424 0.008415579 0.005520999 -0.04249989 0.007546246 0.004556 -0.0424 0.008886814 0.004725158 -0.0424 0.009102046 0.004295945 -0.0424 0.007996976 0.003708422 -0.0424 0.007783174 0.00413835 -0.0424 0.008142709 0.005916059 -0.04249989 0.007851302 0.006297588 -0.04249989 0.007851302 0.006297588 -0.0424 0.007565319 0.006638467 -0.04249989 0.006838679 0.005561888 -0.0424 0.008142709 0.005916059 -0.0424 0.008415579 0.005520999 -0.0424 0.007403016 0.004785299 -0.0424 0.007131457 0.005181312 -0.0424 0.007240116 0.006991684 -0.04249989 0.006898403 0.007328987 -0.04249989 0.006898403 0.007328987 -0.0424 0.006567776 0.007626712 -0.04249989 0.005998134 0.006459534 -0.0424 0.007240116 0.006991684 -0.0424 0.007565319 0.006638467 -0.0424 0.006664991 0.005769014 -0.0424 0.00634098 0.006123304 -0.0424 0.006196618 0.007931292 -0.04249989 0.005811333 0.008217811 -0.04249989 0.005811333 0.008217811 -0.0424 0.00544244 0.008466601 -0.04249989 0.005040705 0.007231414 -0.0424 0.006196618 0.007931292 -0.0424 0.006567776 0.007626712 -0.0424 0.005797207 0.006640434 -0.0424 0.005426943 0.006946265 -0.0424 0.00503242 0.008716523 -0.04249989 0.004611015 0.008946597 -0.04249989 0.004611015 0.008946597 -0.0424 0.004211068 0.009141623 -0.04249989 0.003985226 0.007862687 -0.0424 0.00503242 0.008716523 -0.0424 0.00544244 0.008466601 -0.0424 0.004816651 0.007382631 -0.0424 0.004407465 0.007633984 -0.0424 0.003770411 0.00933206 -0.04249989 0.003320991 0.009501278 -0.04249989 0.003320991 0.009501278 -0.0424 0.002897799 0.009638786 -0.04249989 0.002852201 0.008340775 -0.0424 0 0.0111249 -0.04249989 0.003770411 0.00933206 -0.0424 0.004211068 0.009141623 -0.0424 0.003742218 0.007981181 -0.0424 0.003302097 0.008173108 -0.0424 0.002434909 0.009765982 -0.04249989 0.001966357 0.009871006 -0.04249989 0.001966357 0.009871006 -0.0424 0.001528203 0.009948253 -0.04249989 0.001663625 0.008656561 -0.0424 0.002434909 0.009765982 -0.0424 0.002897799 0.009638786 -0.0424 0.002595067 0.008424341 -0.0424 0.002132475 0.008553147 -0.0424 0.001051962 0.01000976 -0.04249989 5.73511e-4 0.01004856 -0.04249989 5.73511e-4 0.01004856 -0.0424 4.42681e-4 0.008803844 -0.0424 1.28844e-4 0.01006412 -0.04249989 0.001051962 0.01000976 -0.0424 0.001528203 0.009948253 -0.0424 0.001397371 0.008703529 -0.0424 9.21418e-4 0.00876671 -0.0424 -3.51263e-4 0.01005882 -0.04249989 -8.30571e-4 0.01003056 -0.04249989 -8.30571e-4 0.01003056 -0.0424 -7.8689e-4 0.008779764 -0.0424 -0.001273036 0.009984135 -0.04249989 -3.51263e-4 0.01005882 -0.0424 1.28844e-4 0.01006412 -0.0424 1.72525e-4 0.008813261 -0.0424 -3.07639e-4 0.008809626 -0.0424 -0.001747727 0.009912073 -0.04249989 -0.002218425 0.009817421 -0.04249989 -0.002218425 0.009817421 -0.0424 -0.002001047 0.008584797 -0.0424 -0.002650201 0.009709775 -0.04249989 -0.001747727 0.009912073 -0.0424 -0.001273036 0.009984135 -0.0424 -0.001055717 0.008751511 -0.0424 -0.001530647 0.008681058 -0.0424 -0.00311017 0.009572327 -0.04249989 -0.003563106 0.009413123 -0.04249989 -0.003563106 0.009413123 -0.0424 -0.003176391 0.008222758 -0.0424 -0.003975749 0.009246468 -0.04249989 -0.00311017 0.009572327 -0.0424 -0.002650201 0.009709775 -0.0424 -0.002263367 0.008519411 -0.0424 -0.002723932 0.008383512 -0.0424 -0.007866442 0.007866442 -0.04249989 -0.004412174 0.009046316 -0.04249989 -0.004838526 0.0088256 -0.04249989 -0.004838526 0.0088256 -0.0424 -0.004289925 0.007700681 -0.0424 -0.00522387 0.008603155 -0.04249989 -0.004412174 0.009046316 -0.0424 -0.003975749 0.009246468 -0.0424 -0.003426969 0.00812149 -0.0424 -0.003864169 0.007922828 -0.0424 -0.005628228 0.008344233 -0.04249989 -0.006019771 0.008066356 -0.04249989 -0.006019771 0.008066356 -0.0424 -0.005319893 0.007028639 -0.0424 -0.006370425 0.007792413 -0.04249989 -0.005628228 0.008344233 -0.0424 -0.00522387 0.008603155 -0.0424 -0.004523992 0.007565498 -0.0424 -0.004929244 0.007307946 -0.0424 -0.006734788 0.007479727 -0.04249989 -0.007083833 0.007149994 -0.04249989 -0.007083833 0.007149994 -0.0424 -0.006246328 0.006219804 -0.0424 -0.007392883 0.006829977 -0.04249989 -0.006734788 0.007479727 -0.0424 -0.006370425 0.007792413 -0.0424 -0.00553292 0.006862223 -0.0424 -0.005898356 0.006550729 -0.0424 -0.007710218 0.006469607 -0.04249989 -0.00800997 0.006094515 -0.04249989 -0.00800997 0.006094515 -0.0424 -0.00705111 0.005290031 -0.0424 -0.008271515 0.005734622 -0.04249989 -0.007710218 0.006469607 -0.0424 -0.007392883 0.006829977 -0.0424 -0.006434023 0.006025433 -0.0424 -0.00675261 0.005666077 -0.0424 -0.008535563 0.005333602 -0.04249989 -0.008780241 0.004920482 -0.04249989 -0.008780241 0.004920482 -0.0424 -0.007718801 0.004257202 -0.0424 -0.008989095 0.004527628 -0.04249989 -0.008535563 0.005333602 -0.0424 -0.008271515 0.005734622 -0.0424 -0.007210016 0.005071282 -0.0424 -0.007475495 0.004671216 -0.0424 -0.009194791 0.004093766 -0.04249989 -0.009379565 0.003650546 -0.04249989 -0.009379565 0.003650546 -0.0424 -0.008236169 0.003141522 -0.0424 -0.009531736 0.003232479 -0.04249989 -0.009194791 0.004093766 -0.0424 -0.008989095 0.004527628 -0.0424 -0.007845699 0.004018545 -0.0424 -0.008052885 0.003585278 -0.0424 -0.009675085 0.002774178 -0.04249989 -0.00979638 0.00230962 -0.04249989 -0.00979638 0.00230962 -0.0424 -0.008593201 0.001964688 -0.0424 -0.009888887 0.001874506 -0.04249989 -0.009675085 0.002774178 -0.0424 -0.009531736 0.003232479 -0.0424 -0.008328616 0.002887487 -0.0424 -0.008473515 0.002429664 -0.0424 -0.009967029 0.001400709 -0.04249989 -0.01002246 9.23855e-4 -0.0424 -0.008783042 7.49662e-4 -0.0424 -0.009967029 0.001400709 -0.0424 -0.009888887 0.001874506 -0.0424 -0.008649408 0.001700282 -0.0424 -0.008729159 0.001226723 -0.0424 0.0111249 0 -0.04224991 0.007866919 -0.007866084 -0.04224991 0.007866919 0.007866084 -0.04224991 0 0.01112478 -0.04224991 -0.007866919 0.007866084 -0.04224991 -0.0111249 0 -0.04224991 -0.007866919 -0.007866084 -0.04224991 0 -0.01112478 -0.04224991 -0.01137495 0 -0.04224991 -0.008043706 -0.008042812 -0.04224991 -0.008043706 0.008042812 -0.04224991 0 0.01137483 -0.04224991 0.008043706 0.008042812 -0.04224991 0.01137495 0 -0.04224991 0.008043706 -0.008042812 -0.04224991 0 -0.01137483 -0.04224991 0 0.01499992 -0.04149997 0.01060646 0.01060646 -0.04149997 -0.01060646 0.01060646 -0.04149997 -0.01060646 -0.01060646 -0.04149997 -0.01499992 0 -0.04149997 0 -0.01499992 -0.04149997 0 0.01499992 -0.03949993 0.01060646 0.01060646 -0.03949993 -0.01060646 0.01060646 -0.03949993 -0.01499992 0 -0.03949993 -0.01060646 -0.01060646 -0.03949993 0.01060646 -0.01060646 -0.04149997 0 -0.01499992 -0.03949993 0.01499992 0 -0.04149997 0.01060646 -0.01060646 -0.03949993 0.01499992 0 -0.03949993 0 0.009499967 -0.03949993 0.006716728 0.006718099 -0.03949993 -0.009499847 0 -0.03949993 -0.006716728 0.006718099 -0.03949993 -0.006716728 -0.006718099 -0.03949993 0 -0.009499967 -0.03949993 0.009499847 0 -0.03949993 0.006716728 -0.006718099 -0.03949993 0 -0.009146392 -0.03935348 -0.006363928 -0.006363928 -0.03899997 0.006363928 -0.006363928 -0.03899997 0 -0.008999943 -0.03899997 0.008999943 0 -0.03899997 0.006363928 0.006363928 -0.03899997 0 0.009146392 -0.03935348 -0.006363928 0.006363928 -0.03899997 0 0.008999943 -0.03899997 -0.008999943 0 -0.03899997 -0.006363809 -0.006363928 -0.03599995 0 -0.008999943 -0.03599995 -0.008999943 0 -0.03599995 -0.006363809 0.006363928 -0.03599995 0 0.008999943 -0.03599995 0.006363809 0.006363928 -0.03599995 0 0.006999969 -0.03399991 0.003499448 0.006062388 -0.03399991 -0.006061911 0.003500223 -0.03399991 -0.003499448 0.006062388 -0.03399991 -0.00699985 0 -0.03399991 -0.003499448 -0.006062388 -0.03399991 -0.006061911 -0.003500223 -0.03399991 0 -0.006999969 -0.03399991 0.006363809 -0.006363928 -0.03599995 0.003499448 -0.006062388 -0.03399991 0.004763007 -0.002750039 -0.03399991 0 -0.005499899 -0.03399991 0 -0.004999995 -0.0345 -0.004763007 -0.002750039 -0.03399991 -0.004330039 -0.002500057 -0.0345 0.006061911 -0.003500223 -0.03399991 0.004763007 0.002750039 -0.03399991 0.004330039 -0.002500057 -0.0345 0 0.005499899 -0.03399991 0.004330039 0.002500057 -0.0345 0.006061911 0.003500223 -0.03399991 -0.004763007 0.002750039 -0.03399991 0 0.004999995 -0.0345 -0.004330039 0.002500057 -0.0345 0.00699985 0 -0.03399991 0.008999943 0 -0.03599995 0.004330098 -0.002499938 -0.03849995 -0.004330098 0.002499938 -0.03849995 -0.004330098 -0.002499938 -0.03849995 0.004330098 0.002499938 -0.03849995 -0.01874995 0.07699996 0.0152499 -0.01874995 0.07699996 -0.009749948 -0.01874995 0.04999995 -0.009749948 -0.01725 0.04999995 -0.009749948 -0.01874995 0.04929304 -0.009456932 -0.01725 0.04929304 -0.009456932 -0.01787132 0.07912129 0.0152499 -0.01787132 0.07912129 -0.009749948 -0.01725 0.07699996 -0.009749948 -0.01874995 0.046 0.009249985 -0.01874995 0.046 0.0152499 -0.01725 0.07699996 0.0152499 -0.01874995 0.04629302 0.008543014 -0.01874995 0.04699999 0.008249998 -0.01874995 0.04799991 0.008249998 -0.01874995 0.04870688 0.007956922 -0.01874995 0.04899996 0.007249951 -0.01874995 0.04899996 0.006249964 -0.01874995 0.04899996 -0.006749987 -0.01874995 0.04899996 -0.008749961 -0.01681023 0.07806026 0.0152499 -0.01725 0.046 0.0152499 -0.01725 0.046 0.009249985 -0.01725 0.04629302 0.008543014 -0.01725 0.04799991 0.008249998 -0.01725 0.04699999 0.008249998 -0.01725 0.04870688 0.007956922 -0.01725 0.04899996 0.006249964 -0.01725 0.04899996 0.007249951 -0.01874995 0.04870688 -0.006042957 -0.01874995 0.04870688 0.005543053 -0.01874995 0.04799991 -0.00575 -0.01874995 0.04799991 0.005249977 -0.01725 0.04870688 0.005543053 -0.01874995 0.04749995 -0.00575 -0.01874995 0.04749995 0.005249977 -0.01725 0.04749995 0.005249977 -0.01725 0.04799991 0.005249977 -0.01918965 0.04643964 -0.00575 -0.01918965 0.04643964 0.005249977 -0.01812863 0.04537868 0.005249977 -0.01725 0.04799991 -0.00575 -0.01812863 0.04537868 -0.00575 -0.01725 0.04749995 -0.00575 -0.01725 0.04870688 -0.006042957 -0.01725 0.04899996 -0.006749987 -0.01725 0.04899996 -0.008749961 0.01874995 0.04658567 0.01466417 0.01874995 0.07699996 0.0152499 0.01874995 0.04799991 0.0152499 0.01725 0.04799991 0.0152499 0.01725 0.04658567 0.01466417 0.01874995 0.04799991 -0.01974993 0.01874995 0.07699996 -0.01974993 0.01787132 0.07912129 -0.01974993 0.01874995 0.04658567 -0.0191642 0.01874995 0.046 -0.01774996 0.01874995 0.04870688 -0.008456945 0.01874995 0.04899996 -0.007749915 0.01874995 0.04899996 -0.006749987 0.01874995 0.04870688 -0.006042957 0.01874995 0.04799991 -0.00575 0.01874995 0.04749995 -0.00575 0.01874995 0.04799991 0.005249977 0.01874995 0.04870688 0.005543053 0.01874995 0.04899996 0.006249964 0.01874995 0.04899996 0.007249951 0.01874995 0.04870688 0.007956922 0.01874995 0.04799991 0.008249998 0.01874995 0.04699999 0.008249998 0.01874995 0.04629302 0.008543014 0.01874995 0.046 0.009249985 0.01874995 0.046 0.01324999 0.01787132 0.07912129 0.0152499 0.01725 0.07699996 0.0152499 0.01725 0.07699996 -0.01974993 0.01725 0.04799991 -0.01974993 0.01725 0.04658567 -0.0191642 0.01874995 0.046 -0.009749948 0.01725 0.046 -0.01774996 0.01874995 0.04799991 -0.008749961 0.01874995 0.04629302 -0.009043037 0.01725 0.046 -0.009749948 0.01874995 0.04699999 -0.008749961 0.01725 0.04629302 -0.009043037 0.01725 0.04799991 -0.008749961 0.01725 0.04699999 -0.008749961 0.01725 0.04870688 -0.008456945 0.01725 0.04899996 -0.006749987 0.01725 0.04899996 -0.007749915 0.01725 0.04870688 -0.006042957 0.01725 0.04749995 -0.00575 0.01725 0.04799991 -0.00575 0.01874995 0.04749995 0.005249977 0.01918965 0.04643964 0.005249977 0.01918965 0.04643964 -0.00575 0.01812863 0.04537868 -0.00575 0.01725 0.04799991 0.005249977 0.01812863 0.04537868 0.005249977 0.01725 0.04749995 0.005249977 0.01725 0.04870688 0.005543053 0.01725 0.04899996 0.007249951 0.01725 0.04899996 0.006249964 0.01725 0.04870688 0.007956922 0.01725 0.04699999 0.008249998 0.01725 0.04799991 0.008249998 0.01725 0.04629302 0.008543014 0.01725 0.046 0.009249985 0.01725 0.046 0.01324999 0.01154297 0.07999998 -0.01945692 0.01574999 0.07999998 -0.01974993 0.01224988 0.07999998 -0.01974993 0.01224988 0.07849997 -0.01974993 0.01154297 0.07849997 -0.01945692 0.01224988 0.07999998 0.0152499 0.01574999 0.07999998 0.0152499 0.01154297 0.07999998 0.01495695 0.01124989 0.07999998 0.01424998 0.01124989 0.07999998 0.01174998 0.01095694 0.07999998 0.01104301 0.01024997 0.07999998 0.01074993 0.01024997 0.07999998 0.008749961 0.009956896 0.07999998 0.00804305 0.009249985 0.07999998 0.007749915 0.008249998 0.07999998 0.007749915 0.009956896 0.07999998 -0.01254302 0.01024997 0.07999998 -0.01324999 0.01095694 0.07999998 -0.01554304 0.01124989 0.07999998 -0.01624995 0.01124989 0.07999998 -0.01874995 0.01574999 0.07849997 -0.01974993 0.01574999 0.07849997 0.0152499 0.01681023 0.07806026 0.0152499 0.01224988 0.07849997 0.0152499 0.01154297 0.07849997 0.01495695 0.01124989 0.07849997 0.01424998 0.01124989 0.07849997 0.01174998 0.01095694 0.07849997 0.01104301 0.01024997 0.07849997 0.01074993 0.01024997 0.07849997 0.008749961 0.009956896 0.07849997 0.00804305 0.008249998 0.07849997 0.007749915 0.009249985 0.07849997 0.007749915 -0.01074993 0.07999998 0.01224988 0.007543027 0.07999998 0.00804305 -0.006749987 0.07999998 -0.009749948 0.009249985 0.07999998 -0.01224988 0.007249951 0.07999998 0.008749961 0.007543027 0.07849997 0.00804305 -0.008749961 0.07999998 0.01384997 0.007249951 0.07999998 0.01384997 0.007249951 0.07849997 0.008749961 -0.008749961 0.07999998 0.01324999 -0.009043037 0.07999998 0.01254302 -0.009749948 0.07999998 0.01224988 -0.008749961 0.07912129 0.0159713 0.007249951 0.07912129 0.0159713 0.007249951 0.07849997 0.01384997 -0.008749961 0.07849997 0.01324999 -0.008749961 0.07806026 0.01491028 -0.008749961 0.07849997 0.01384997 -0.009043037 0.07849997 0.01254302 -0.01074993 0.07849997 0.01224988 -0.009749948 0.07849997 0.01224988 -0.01145684 0.07999998 0.01254302 -0.01574999 0.07999998 0.0152499 -0.01174998 0.07999998 0.01324999 -0.01145684 0.07849997 0.01254302 -0.01174998 0.07999998 0.01424998 -0.01174998 0.07849997 0.01424998 -0.01174998 0.07849997 0.01324999 -0.01204293 0.07999998 0.01495695 -0.01274991 0.07999998 0.0152499 -0.01204293 0.07849997 0.01495695 -0.01274991 0.07849997 0.0152499 -0.01574999 0.07999998 -0.009749948 -0.01574999 0.07849997 0.0152499 -0.01574999 0.07849997 -0.009749948 -0.006042957 0.07999998 -0.01004302 -0.006749987 0.07849997 -0.009749948 -0.00575 0.07999998 -0.01074993 -0.006042957 0.07849997 -0.01004302 -0.00575 0.07999998 -0.01174998 -0.00575 0.07849997 -0.01174998 -0.00575 0.07849997 -0.01074993 0.008249998 0.07999998 -0.01224988 -0.006042957 0.07999998 -0.01245689 0.007543027 0.07999998 -0.01254302 -0.006749987 0.07999998 -0.01274991 -0.006042957 0.07849997 -0.01245689 0.007249951 0.07999998 -0.01324999 -0.007749915 0.07999998 -0.01274991 -0.007749915 0.07849997 -0.01274991 -0.006749987 0.07849997 -0.01274991 -0.008456945 0.07999998 -0.01304298 -0.008749961 0.07999998 -0.01374989 -0.008456945 0.07849997 -0.01304298 0.007249951 0.07999998 -0.01835 -0.008749961 0.07999998 -0.01835 -0.008749961 0.07849997 -0.01374989 0.007249951 0.07912129 -0.02047127 -0.008749961 0.07912129 -0.02047127 -0.008749961 0.07849997 -0.01835 0.007249951 0.07849997 -0.01835 0.007249951 0.07806026 -0.01941025 0.007249951 0.07849997 -0.01324999 0.007543027 0.07849997 -0.01254302 0.009249985 0.07849997 -0.01224988 0.008249998 0.07849997 -0.01224988 0.009956896 0.07849997 -0.01254302 0.01024997 0.07999998 -0.0152499 0.01024997 0.07849997 -0.01324999 0.01024997 0.07849997 -0.0152499 0.01095694 0.07849997 -0.01554304 0.01124989 0.07849997 -0.01624995 0.01124989 0.07849997 -0.01874995 0.01674991 0.07099997 -0.0213499 0.01674991 0.04349988 -0.0213499 -0.01674991 0.04349988 -0.0213499 -0.01674991 0.04349988 -0.01984995 0.009249985 0.07099997 -0.0213499 0.007835745 0.07158577 -0.0213499 0.007249951 0.07299995 -0.0213499 0.007249951 0.07699996 -0.0213499 -0.008749961 0.07299995 -0.0213499 -0.009335756 0.07158577 -0.0213499 -0.01074993 0.07099997 -0.0213499 -0.01674991 0.07099997 -0.0213499 -0.01816415 0.04408574 -0.0213499 -0.01816415 0.04408574 -0.01984995 0.01816415 0.07041418 -0.0213499 0.01816415 0.04408574 -0.0213499 0.01674991 0.04349988 -0.01984995 0.01874995 0.069 -0.0213499 0.01874995 0.04549998 -0.0213499 0.01816415 0.04408574 -0.01984995 0.01874995 0.04549998 -0.01984995 0.01874995 0.069 -0.01984995 0.01816415 0.07041418 -0.01984995 0.01674991 0.07099997 -0.01984995 0.009249985 0.07099997 -0.01984995 0.007835745 0.07158577 -0.01984995 0.007249951 0.07299995 -0.01984995 -0.008749961 0.07699996 -0.0213499 0.007249951 0.07699996 -0.01984995 -0.008749961 0.07699996 -0.01984995 -0.008749961 0.07299995 -0.01984995 -0.009335756 0.07158577 -0.01984995 -0.01074993 0.07099997 -0.01984995 -0.01816415 0.07041418 -0.0213499 -0.01674991 0.07099997 -0.01984995 -0.01874995 0.04549998 -0.0213499 -0.01874995 0.069 -0.0213499 -0.01816415 0.07041418 -0.01984995 -0.01874995 0.069 -0.01984995 -0.01874995 0.04549998 -0.01984995 -0.02524989 0.03308576 -0.005164206 -0.02524989 0.04299998 -0.00575 -0.02524989 0.0345 -0.00575 -0.02374988 0.0345 -0.00575 -0.02374988 0.03308576 -0.005164206 -0.02524989 0.04216092 0.00207448 -0.02524989 0.04299998 0.005249977 -0.02437132 0.04512131 0.005249977 -0.02524989 0.0324999 -0.003749907 -0.02524989 0.03899997 -0.003399968 -0.02524989 0.04216098 -0.001574516 -0.02437132 0.04512131 -0.00575 -0.02374988 0.04299998 -0.00575 -0.02524989 0.03899997 0.003899991 -0.02524989 0.0345 0.005249977 -0.02374988 0.04299998 0.005249977 -0.02524989 0.03308576 0.004664182 -0.02374988 0.0345 0.005249977 -0.02524989 0.0324999 0.003249943 -0.02374988 0.03308576 0.004664182 -0.02524989 0.03583896 -0.001574516 -0.02374988 0.0324999 0.003249943 -0.02524989 0.0358389 0.00207448 -0.02374988 0.0324999 -0.003749907 -0.02374988 0.03899997 -0.001899898 -0.02374988 0.0408619 -8.25e-4 -0.02374988 0.03713804 -8.25e-4 -0.02374988 0.03713804 0.001324892 -0.02374988 0.03899997 0.002399981 -0.02374988 0.0408619 0.001324892 -0.02024996 0.046 -0.00575 -0.02224993 0.046 0.005249977 -0.02024996 0.046 0.005249977 -0.02024996 0.04449999 0.005249977 -0.02224993 0.046 -0.00575 -0.02224993 0.04449999 0.005249977 -0.02224993 0.04449999 -0.00575 -0.02331024 0.04406023 -0.00575 -0.02024996 0.04449999 -0.00575 0.01816415 0.07041418 0.01684999 0.01874995 0.04549998 0.01684999 0.01874995 0.069 0.01684999 0.01874995 0.069 0.01534998 0.01816415 0.07041418 0.01534998 0.01816415 0.04408574 0.01684999 0.01874995 0.04549998 0.01534998 0.01674991 0.07099997 0.01684999 0.01674991 0.04349988 0.01684999 0.01816415 0.04408574 0.01534998 -0.01674991 0.07099997 0.01684999 -0.01674991 0.04349988 0.01684999 0.01674991 0.04349988 0.01534998 -0.01074993 0.07099997 0.01684999 -0.009335756 0.07158577 0.01684999 -0.008749961 0.07299995 0.01684999 -0.008749961 0.07699996 0.01684999 0.007249951 0.07299995 0.01684999 0.007835745 0.07158577 0.01684999 0.009249985 0.07099997 0.01684999 -0.01816415 0.07041418 0.01684999 -0.01816415 0.04408574 0.01684999 -0.01674991 0.04349988 0.01534998 -0.01874995 0.069 0.01684999 -0.01874995 0.04549998 0.01684999 -0.01816415 0.04408574 0.01534998 -0.01874995 0.04549998 0.01534998 -0.01874995 0.069 0.01534998 -0.01816415 0.07041418 0.01534998 -0.01674991 0.07099997 0.01534998 -0.01074993 0.07099997 0.01534998 -0.009335756 0.07158577 0.01534998 -0.008749961 0.07299995 0.01534998 0.007249951 0.07699996 0.01684999 -0.008749961 0.07699996 0.01534998 0.007249951 0.07699996 0.01534998 0.007249951 0.07299995 0.01534998 0.007835745 0.07158577 0.01534998 0.009249985 0.07099997 0.01534998 0.01674991 0.07099997 0.01534998 0.02724999 0.03308576 0.004664182 0.02724999 0.04299998 0.005249977 0.02724999 0.0345 0.005249977 0.02574998 0.0345 0.005249977 0.02574998 0.03308576 0.004664182 0.02724999 0.04216092 -0.001574516 0.02724999 0.04299998 -0.00575 0.0263713 0.04512131 -0.00575 0.02724999 0.03899997 0.003899991 0.02724999 0.04216098 0.00207448 0.0263713 0.04512131 0.005249977 0.02574998 0.04299998 0.005249977 0.02724999 0.03899997 -0.003399968 0.02724999 0.0345 -0.00575 0.02574998 0.04299998 -0.00575 0.02724999 0.03308576 -0.005164206 0.02574998 0.0345 -0.00575 0.02724999 0.0324999 -0.003749907 0.02574998 0.03308576 -0.005164206 0.02724999 0.03583896 0.00207448 0.02724999 0.0324999 0.003249943 0.02574998 0.0324999 -0.003749907 0.02724999 0.0358389 -0.001574516 0.02574998 0.0324999 0.003249943 0.02574998 0.03899997 0.002399981 0.02574998 0.0408619 0.001324892 0.02574998 0.03713804 0.001324892 0.02574998 0.03713804 -8.25e-4 0.02574998 0.03899997 -0.001899898 0.02574998 0.0408619 -8.25e-4 0.02024996 0.046 0.005249977 0.02424997 0.046 -0.00575 0.02024996 0.046 -0.00575 0.02024996 0.04449999 -0.00575 0.02424997 0.046 0.005249977 0.02424997 0.04449999 -0.00575 0.02424997 0.04449999 0.005249977 0.02531021 0.04406023 0.005249977 0.02024996 0.04449999 0.005249977 -0.01681023 0.07806026 -0.009749948 0.01681023 0.07806026 -0.01974993 0.007249951 0.07806026 0.01491028 -0.008749961 0.07806026 -0.01941025 0.02531021 0.04406023 -0.00575 -0.02331024 0.04406023 0.005249977 0.00399965 0.03570169 -0.0500999 0.00195825 0.03226214 -0.0500999 -0.002041459 0.03231012 -0.0500999 -0.002041459 0.03231012 -0.04979991 0.001241207 0.03501325 -0.0500999 -0.001258552 0.03504329 -0.0500999 -0.00399965 0.03579825 -0.0500999 -0.00399971 0.03579807 -0.04979991 -1.73466e-5 0.0343067 -0.0500999 0.001958191 0.03226202 -0.04979991 0.001258552 0.03645658 -0.0500999 0.002041459 0.03918981 -0.0500999 0.00399971 0.03570193 -0.04979991 -0.00195825 0.03923767 -0.0500999 0.002041459 0.03918981 -0.04979991 -0.001241207 0.03648656 -0.0500999 1.73466e-5 0.03719317 -0.0500999 -0.001958191 0.03923779 -0.04979991 -0.001258552 0.03504329 -0.0482999 -1.73466e-5 0.0343067 -0.0482999 -0.001241207 0.03648656 -0.0482999 1.73466e-5 0.03719317 -0.0482999 0.001258552 0.03645658 -0.0482999 0.001241207 0.03501325 -0.0482999 0.001020669 0.03746986 -0.0478 0.001937866 0.03624433 -0.0478 -0.001719892 0.0367707 -0.0478 -4.94384e-4 0.03768783 -0.0478 -0.001937866 0.03525561 -0.0478 -0.001020669 0.03403002 -0.0478 0.001020669 0.03746986 -0.04569995 0.001719832 0.03472924 -0.04569995 -0.001719832 0.0367707 -0.04569995 -0.001020669 0.03403002 -0.04569995 4.94384e-4 0.03381198 -0.0478 8.42113e-4 0.03716892 -0.04569995 0.001418828 0.03490781 -0.04569995 -0.001418828 0.036592 -0.04569995 -8.42113e-4 0.03433102 -0.04569995 0.001719892 0.03472924 -0.0478 -8.42113e-4 0.03433102 -0.03409993 -0.001418828 0.036592 -0.03409993 0.001418828 0.03490781 -0.03409993 8.42113e-4 0.03716892 -0.03409993 0.03974962 -4.82634e-5 -0.0500999 0.03770834 -0.003487706 -0.0500999 0.03370851 -0.003439784 -0.0500999 0.03370851 -0.003439784 -0.04979991 0.03699117 -7.36658e-4 -0.0500999 0.03449136 -7.06613e-4 -0.0500999 0.03175032 4.82634e-5 -0.0500999 0.03175026 4.80722e-5 -0.04979991 0.03573256 -0.001443207 -0.0500999 0.03770822 -0.003487825 -0.04979991 0.03700858 7.06613e-4 -0.0500999 0.03779149 0.003439784 -0.0500999 0.03974968 -4.80722e-5 -0.04979991 0.0337916 0.003487706 -0.0500999 0.03779149 0.003439784 -0.04979991 0.03450876 7.36658e-4 -0.0500999 0.03576725 0.001443207 -0.0500999 0.03379172 0.003487825 -0.04979991 0.03449136 -7.06613e-4 -0.0482999 0.03573256 -0.001443207 -0.0482999 0.03450876 7.36658e-4 -0.0482999 0.03576725 0.001443207 -0.0482999 0.03700858 7.06613e-4 -0.0482999 0.03699117 -7.36658e-4 -0.0482999 0.0367707 0.001719892 -0.0478 0.03768783 4.94384e-4 -0.0478 0.03403002 0.001020669 -0.0478 0.03525561 0.001937866 -0.0478 0.03381198 -4.94384e-4 -0.0478 0.03472924 -0.001719892 -0.0478 0.0367707 0.001719892 -0.04569995 0.03746986 -0.00102061 -0.04569995 0.03403007 0.00102061 -0.04569995 0.03472924 -0.001719892 -0.04569995 0.03624433 -0.001937866 -0.0478 0.036592 0.001418828 -0.04569995 0.03716892 -8.42113e-4 -0.04569995 0.03433102 8.42113e-4 -0.04569995 0.03490781 -0.001418828 -0.04569995 0.03746986 -0.001020669 -0.0478 0.03490781 -0.001418828 -0.03409993 0.03433102 8.42113e-4 -0.03409993 0.03716892 -8.42113e-4 -0.03409993 0.036592 0.001418828 -0.03409993 0.02649956 -4.82634e-5 -0.037 0.02445828 -0.003487706 -0.037 0.02045845 -0.003439784 -0.037 0.02045845 -0.003439784 -0.03669995 0.02374118 -7.36658e-4 -0.037 0.0212413 -7.06613e-4 -0.037 0.01850026 4.82634e-5 -0.037 0.0185002 4.80722e-5 -0.03669995 0.02248263 -0.001443207 -0.037 0.02445816 -0.003487825 -0.03669995 0.02375853 7.06613e-4 -0.037 0.02454137 0.003439784 -0.037 0.02649962 -4.80722e-5 -0.03669995 0.02054154 0.003487706 -0.037 0.02454137 0.003439784 -0.03669995 0.02125871 7.36658e-4 -0.037 0.02251732 0.001443207 -0.037 0.02054166 0.003487825 -0.03669995 0.0212413 -7.06613e-4 -0.03519994 0.02248263 -0.001443207 -0.03519994 0.02125871 7.36658e-4 -0.03519994 0.02251732 0.001443207 -0.03519994 0.02375853 7.06613e-4 -0.03519994 0.02374118 -7.36658e-4 -0.03519994 0.02352064 0.001719892 -0.03469991 0.0244379 4.94384e-4 -0.03469991 0.02078008 0.001020669 -0.03469991 0.02200555 0.001937866 -0.03469991 0.02056205 -4.94384e-4 -0.03469991 0.02147918 -0.001719892 -0.03469991 0.02352064 0.001719892 -0.03259992 0.02421981 -0.00102061 -0.03259992 0.02078014 0.00102061 -0.03259992 0.02147918 -0.001719892 -0.03259992 0.02299427 -0.001937866 -0.03469991 0.02334207 0.001418828 -0.03259992 0.02391886 -8.42113e-4 -0.03259992 0.02108103 8.42113e-4 -0.03259992 0.02165788 -0.001418828 -0.03259992 0.02421987 -0.001020669 -0.03469991 0.02165788 -0.001418828 -0.0209999 0.02108103 8.42113e-4 -0.0209999 0.02391886 -8.42113e-4 -0.0209999 0.02334207 0.001418828 -0.0209999 4.82634e-5 0.02649956 -0.037 0.003487706 0.02445828 -0.037 0.003439784 0.02045845 -0.037 0.003439784 0.02045845 -0.03669995 7.36658e-4 0.02374118 -0.037 7.06613e-4 0.0212413 -0.037 -4.82634e-5 0.01850026 -0.037 -4.80722e-5 0.0185002 -0.03669995 0.001443207 0.02248263 -0.037 0.003487825 0.02445816 -0.03669995 -7.06613e-4 0.02375853 -0.037 -0.003439784 0.02454137 -0.037 4.80722e-5 0.02649962 -0.03669995 -0.003487706 0.02054154 -0.037 -0.003439784 0.02454137 -0.03669995 -7.36658e-4 0.02125871 -0.037 -0.001443207 0.02251732 -0.037 -0.003487825 0.02054166 -0.03669995 7.06613e-4 0.0212413 -0.03519994 0.001443207 0.02248263 -0.03519994 -7.36658e-4 0.02125871 -0.03519994 -0.001443207 0.02251732 -0.03519994 -7.06613e-4 0.02375853 -0.03519994 7.36658e-4 0.02374118 -0.03519994 -0.001719892 0.02352064 -0.03469991 -4.94384e-4 0.0244379 -0.03469991 -0.001020669 0.02078008 -0.03469991 -0.001937866 0.02200555 -0.03469991 4.94384e-4 0.02056205 -0.03469991 0.001719892 0.02147918 -0.03469991 -0.001719892 0.02352064 -0.03259992 0.00102061 0.02421981 -0.03259992 -0.00102061 0.02078014 -0.03259992 0.001719892 0.02147918 -0.03259992 0.001937866 0.02299427 -0.03469991 -0.001418828 0.02334207 -0.03259992 8.42113e-4 0.02391886 -0.03259992 -8.42113e-4 0.02108103 -0.03259992 0.001418828 0.02165788 -0.03259992 0.001020669 0.02421987 -0.03469991 0.001418828 0.02165788 -0.0209999 -8.42113e-4 0.02108103 -0.0209999 8.42113e-4 0.02391886 -0.0209999 -0.001418828 0.02334207 -0.0209999 -0.02649956 4.82634e-5 -0.037 -0.02445828 0.003487706 -0.037 -0.02045845 0.003439784 -0.037 -0.02045845 0.003439784 -0.03669995 -0.02374118 7.36658e-4 -0.037 -0.0212413 7.06613e-4 -0.037 -0.01850026 -4.82634e-5 -0.037 -0.0185002 -4.80722e-5 -0.03669995 -0.02248263 0.001443207 -0.037 -0.02445816 0.003487825 -0.03669995 -0.02375853 -7.06613e-4 -0.037 -0.02454137 -0.003439784 -0.037 -0.02649962 4.80722e-5 -0.03669995 -0.02054154 -0.003487706 -0.037 -0.02454137 -0.003439784 -0.03669995 -0.02125871 -7.36658e-4 -0.037 -0.02251732 -0.001443207 -0.037 -0.02054166 -0.003487825 -0.03669995 -0.0212413 7.06613e-4 -0.03519994 -0.02248263 0.001443207 -0.03519994 -0.02125871 -7.36658e-4 -0.03519994 -0.02251732 -0.001443207 -0.03519994 -0.02375853 -7.06613e-4 -0.03519994 -0.02374118 7.36658e-4 -0.03519994 -0.02352064 -0.001719892 -0.03469991 -0.0244379 -4.94384e-4 -0.03469991 -0.02078008 -0.001020669 -0.03469991 -0.02200555 -0.001937866 -0.03469991 -0.02056205 4.94384e-4 -0.03469991 -0.02147918 0.001719892 -0.03469991 -0.02352064 -0.001719892 -0.03259992 -0.02421981 0.00102061 -0.03259992 -0.02078014 -0.00102061 -0.03259992 -0.02147918 0.001719892 -0.03259992 -0.02299427 0.001937866 -0.03469991 -0.02334207 -0.001418828 -0.03259992 -0.02391886 8.42113e-4 -0.03259992 -0.02108103 -8.42113e-4 -0.03259992 -0.02165788 0.001418828 -0.03259992 -0.02421987 0.001020669 -0.03469991 -0.02165788 0.001418828 -0.0209999 -0.02108103 -8.42113e-4 -0.0209999 -0.02391886 8.42113e-4 -0.0209999 -0.02334207 -0.001418828 -0.0209999 -4.82634e-5 -0.02649956 -0.037 -0.003487706 -0.02445828 -0.037 -0.003439784 -0.02045845 -0.037 -0.003439784 -0.02045845 -0.03669995 -7.36658e-4 -0.02374118 -0.037 -7.06613e-4 -0.0212413 -0.037 4.82634e-5 -0.01850026 -0.037 4.80722e-5 -0.0185002 -0.03669995 -0.001443207 -0.02248263 -0.037 -0.003487825 -0.02445816 -0.03669995 7.06613e-4 -0.02375853 -0.037 0.003439784 -0.02454137 -0.037 -4.80722e-5 -0.02649962 -0.03669995 0.003487706 -0.02054154 -0.037 0.003439784 -0.02454137 -0.03669995 7.36658e-4 -0.02125871 -0.037 0.001443207 -0.02251732 -0.037 0.003487825 -0.02054166 -0.03669995 -7.06613e-4 -0.0212413 -0.03519994 -0.001443207 -0.02248263 -0.03519994 7.36658e-4 -0.02125871 -0.03519994 0.001443207 -0.02251732 -0.03519994 7.06613e-4 -0.02375853 -0.03519994 -7.36658e-4 -0.02374118 -0.03519994 0.001719892 -0.02352064 -0.03469991 4.94384e-4 -0.0244379 -0.03469991 0.001020669 -0.02078008 -0.03469991 0.001937866 -0.02200555 -0.03469991 -4.94384e-4 -0.02056205 -0.03469991 -0.001719892 -0.02147918 -0.03469991 0.001719892 -0.02352064 -0.03259992 -0.00102061 -0.02421981 -0.03259992 0.00102061 -0.02078014 -0.03259992 -0.001719892 -0.02147918 -0.03259992 -0.001937866 -0.02299427 -0.03469991 0.001418828 -0.02334207 -0.03259992 -8.42113e-4 -0.02391886 -0.03259992 8.42113e-4 -0.02108103 -0.03259992 -0.001418828 -0.02165788 -0.03259992 -0.001020669 -0.02421987 -0.03469991 -0.001418828 -0.02165788 -0.0209999 8.42113e-4 -0.02108103 -0.0209999 -8.42113e-4 -0.02391886 -0.0209999 0.001418828 -0.02334207 -0.0209999 0.009035825 0.04349988 -0.02049976 0.009035825 0.04349988 -0.01650017 0.01249992 0.04349988 -0.01449996 0.01249992 0.04319989 -0.01449996 0.0110566 0.04349988 -0.01849997 0.01322168 0.04349988 -0.01725 0.01596415 0.04349988 -0.01650017 0.01596409 0.04319989 -0.01649999 0.01177829 0.04349988 -0.01725 0.009035885 0.04319989 -0.01649999 0.01177829 0.04349988 -0.01974993 0.01249992 0.04349988 -0.02249991 0.009035885 0.04319989 -0.0205 0.01596415 0.04349988 -0.02049976 0.01249992 0.04319989 -0.02249991 0.01394337 0.04349988 -0.01849997 0.01322168 0.04349988 -0.01974993 0.01596409 0.04319989 -0.0205 0.01322168 0.0417 -0.01725 0.01177829 0.0417 -0.01725 0.01394337 0.0417 -0.01849997 0.01322168 0.0417 -0.01974993 0.01177829 0.0417 -0.01974993 0.0110566 0.0417 -0.01849997 0.01249992 0.04119998 -0.0205 0.01108568 0.04119998 -0.01991415 0.01449996 0.04119998 -0.01849997 0.0139141 0.04119998 -0.01991415 0.0139141 0.04119998 -0.01708579 0.01249992 0.04119998 -0.01649999 0.01249992 0.03909999 -0.0205 0.01050001 0.03909999 -0.01849997 0.0144999 0.03909999 -0.01849997 0.01249992 0.03909999 -0.01649999 0.01108568 0.04119998 -0.01708579 0.01249992 0.03909999 -0.02015 0.01084995 0.03909999 -0.01849997 0.01414996 0.03909999 -0.01849997 0.01249992 0.03909999 -0.01684999 0.01049995 0.04119998 -0.01849997 0.01249992 0.02749997 -0.01684999 0.01414996 0.02749997 -0.01849997 0.01084995 0.02749997 -0.01849997 0.01249992 0.02749997 -0.02015 -0.01596415 0.04349988 0.01700007 -0.01596415 0.04349988 0.02099972 -0.01249992 0.04349988 0.023 -0.01249992 0.04319989 0.023 -0.01394337 0.04349988 0.01899999 -0.01177829 0.04349988 0.02024996 -0.009035825 0.04349988 0.02099972 -0.009035885 0.04319989 0.0209999 -0.01322168 0.04349988 0.02024996 -0.01596409 0.04319989 0.0209999 -0.01322168 0.04349988 0.01774996 -0.01249992 0.04349988 0.01499992 -0.01596409 0.04319989 0.0169999 -0.009035825 0.04349988 0.01700007 -0.01249992 0.04319989 0.01499992 -0.0110566 0.04349988 0.01899999 -0.01177829 0.04349988 0.01774996 -0.009035885 0.04319989 0.0169999 -0.01177829 0.0417 0.02024996 -0.01322168 0.0417 0.02024996 -0.0110566 0.0417 0.01899999 -0.01177829 0.0417 0.01774996 -0.01322168 0.0417 0.01774996 -0.01394337 0.0417 0.01899999 -0.01249992 0.04119998 0.0169999 -0.0139141 0.04119998 0.01758575 -0.01049995 0.04119998 0.01899999 -0.01108568 0.04119998 0.01758575 -0.01108568 0.04119998 0.02041417 -0.01249992 0.04119998 0.0209999 -0.01249992 0.03909999 0.0169999 -0.0144999 0.03909999 0.01899999 -0.01050001 0.03909999 0.01899999 -0.01249992 0.03909999 0.0209999 -0.0139141 0.04119998 0.02041417 -0.01249992 0.03909999 0.01734989 -0.01414996 0.03909999 0.01899999 -0.01084995 0.03909999 0.01899999 -0.01249992 0.03909999 0.0206499 -0.01449996 0.04119998 0.01899999 -0.01249992 0.02749997 0.0206499 -0.01084995 0.02749997 0.01899999 -0.01414996 0.02749997 0.01899999 -0.01249992 0.02749997 0.01734989 0.009035825 0.04349988 0.01700007 0.009035825 0.04349988 0.02099972 0.01249992 0.04349988 0.023 0.01249992 0.04319989 0.023 0.0110566 0.04349988 0.01899999 0.01322168 0.04349988 0.02024996 0.01596415 0.04349988 0.02099972 0.01596409 0.04319989 0.0209999 0.01177829 0.04349988 0.02024996 0.009035885 0.04319989 0.0209999 0.01177829 0.04349988 0.01774996 0.01249992 0.04349988 0.01499992 0.009035885 0.04319989 0.0169999 0.01596415 0.04349988 0.01700007 0.01249992 0.04319989 0.01499992 0.01394337 0.04349988 0.01899999 0.01322168 0.04349988 0.01774996 0.01596409 0.04319989 0.0169999 0.01322168 0.0417 0.02024996 0.01177829 0.0417 0.02024996 0.01394337 0.0417 0.01899999 0.01322168 0.0417 0.01774996 0.01177829 0.0417 0.01774996 0.0110566 0.0417 0.01899999 0.01249992 0.04119998 0.0169999 0.01108568 0.04119998 0.01758575 0.01449996 0.04119998 0.01899999 0.0139141 0.04119998 0.01758575 0.0139141 0.04119998 0.02041417 0.01249992 0.04119998 0.0209999 0.01249992 0.03909999 0.0169999 0.01050001 0.03909999 0.01899999 0.0144999 0.03909999 0.01899999 0.01249992 0.03909999 0.0209999 0.01108568 0.04119998 0.02041417 0.01249992 0.03909999 0.01734989 0.01084995 0.03909999 0.01899999 0.01414996 0.03909999 0.01899999 0.01249992 0.03909999 0.0206499 0.01049995 0.04119998 0.01899999 0.01249992 0.02749997 0.0206499 0.01414996 0.02749997 0.01899999 0.01084995 0.02749997 0.01899999 0.01249992 0.02749997 0.01734989 -0.01596415 0.04349988 -0.02049976 -0.01596415 0.04349988 -0.01650017 -0.01249992 0.04349988 -0.01449996 -0.01249992 0.04319989 -0.01449996 -0.01394337 0.04349988 -0.01849997 -0.01177829 0.04349988 -0.01725 -0.009035825 0.04349988 -0.01650017 -0.009035885 0.04319989 -0.01649999 -0.01322168 0.04349988 -0.01725 -0.01596409 0.04319989 -0.01649999 -0.01322168 0.04349988 -0.01974993 -0.01249992 0.04349988 -0.02249991 -0.01596409 0.04319989 -0.0205 -0.009035825 0.04349988 -0.02049976 -0.01249992 0.04319989 -0.02249991 -0.0110566 0.04349988 -0.01849997 -0.01177829 0.04349988 -0.01974993 -0.009035885 0.04319989 -0.0205 -0.01177829 0.0417 -0.01725 -0.01322168 0.0417 -0.01725 -0.0110566 0.0417 -0.01849997 -0.01177829 0.0417 -0.01974993 -0.01322168 0.0417 -0.01974993 -0.01394337 0.0417 -0.01849997 -0.01249992 0.04119998 -0.0205 -0.0139141 0.04119998 -0.01991415 -0.01049995 0.04119998 -0.01849997 -0.01108568 0.04119998 -0.01991415 -0.01108568 0.04119998 -0.01708579 -0.01249992 0.04119998 -0.01649999 -0.01249992 0.03909999 -0.0205 -0.0144999 0.03909999 -0.01849997 -0.01050001 0.03909999 -0.01849997 -0.01249992 0.03909999 -0.01649999 -0.0139141 0.04119998 -0.01708579 -0.01249992 0.03909999 -0.02015 -0.01414996 0.03909999 -0.01849997 -0.01084995 0.03909999 -0.01849997 -0.01249992 0.03909999 -0.01684999 -0.01449996 0.04119998 -0.01849997 -0.01249992 0.02749997 -0.01684999 -0.01084995 0.02749997 -0.01849997 -0.01414996 0.02749997 -0.01849997 -0.01249992 0.02749997 -0.02015 0.00399965 -0.03579825 -0.0500999 0.00195825 -0.03923767 -0.0500999 -0.002041459 -0.03918981 -0.0500999 -0.002041459 -0.03918981 -0.04979991 0.001241207 -0.03648656 -0.0500999 -0.001258552 -0.03645658 -0.0500999 -0.00399965 -0.03570169 -0.0500999 -0.00399971 -0.03570193 -0.04979991 -1.73466e-5 -0.03719317 -0.0500999 0.001958191 -0.03923779 -0.04979991 0.001258552 -0.03504329 -0.0500999 0.002041459 -0.03231012 -0.0500999 0.00399971 -0.03579807 -0.04979991 -0.00195825 -0.03226214 -0.0500999 0.002041459 -0.03231012 -0.04979991 -0.001241207 -0.03501325 -0.0500999 1.73466e-5 -0.0343067 -0.0500999 -0.001958191 -0.03226202 -0.04979991 -0.001258552 -0.03645658 -0.0482999 -1.73466e-5 -0.03719317 -0.0482999 -0.001241207 -0.03501325 -0.0482999 1.73466e-5 -0.0343067 -0.0482999 0.001258552 -0.03504329 -0.0482999 0.001241207 -0.03648656 -0.0482999 0.001020669 -0.03403002 -0.0478 0.001937866 -0.03525561 -0.0478 -0.001719892 -0.03472924 -0.0478 -4.94384e-4 -0.03381198 -0.0478 -0.001937866 -0.03624433 -0.0478 -0.001020669 -0.03746986 -0.0478 0.001020669 -0.03403002 -0.04569995 0.001719832 -0.0367707 -0.04569995 -0.001719832 -0.03472924 -0.04569995 -0.001020669 -0.03746986 -0.04569995 4.94384e-4 -0.03768783 -0.0478 8.42113e-4 -0.03433102 -0.04569995 0.001418828 -0.036592 -0.04569995 -0.001418828 -0.03490781 -0.04569995 -8.42113e-4 -0.03716892 -0.04569995 0.001719892 -0.0367707 -0.0478 -8.42113e-4 -0.03716892 -0.03409993 -0.001418828 -0.03490781 -0.03409993 0.001418828 -0.036592 -0.03409993 8.42113e-4 -0.03433102 -0.03409993 -0.03175032 -4.82634e-5 -0.0500999 -0.0337916 -0.003487706 -0.0500999 -0.03779149 -0.003439784 -0.0500999 -0.03779149 -0.003439784 -0.04979991 -0.03450876 -7.36658e-4 -0.0500999 -0.03700858 -7.06613e-4 -0.0500999 -0.03974962 4.82634e-5 -0.0500999 -0.03974968 4.80722e-5 -0.04979991 -0.03576725 -0.001443207 -0.0500999 -0.03379172 -0.003487825 -0.04979991 -0.03449136 7.06613e-4 -0.0500999 -0.03370851 0.003439784 -0.0500999 -0.03175026 -4.80722e-5 -0.04979991 -0.03770834 0.003487706 -0.0500999 -0.03370851 0.003439784 -0.04979991 -0.03699117 7.36658e-4 -0.0500999 -0.03573256 0.001443207 -0.0500999 -0.03770822 0.003487825 -0.04979991 -0.03700858 -7.06613e-4 -0.0482999 -0.03576725 -0.001443207 -0.0482999 -0.03699117 7.36658e-4 -0.0482999 -0.03573256 0.001443207 -0.0482999 -0.03449136 7.06613e-4 -0.0482999 -0.03450876 -7.36658e-4 -0.0482999 -0.03472924 0.001719892 -0.0478 -0.03381198 4.94384e-4 -0.0478 -0.03746986 0.001020669 -0.0478 -0.03624433 0.001937866 -0.0478 -0.03768783 -4.94384e-4 -0.0478 -0.0367707 -0.001719892 -0.0478 -0.03472924 0.001719892 -0.04569995 -0.03403007 -0.00102061 -0.04569995 -0.03746986 0.00102061 -0.04569995 -0.0367707 -0.001719892 -0.04569995 -0.03525561 -0.001937866 -0.0478 -0.03490781 0.001418828 -0.04569995 -0.03433102 -8.42113e-4 -0.04569995 -0.03716892 8.42113e-4 -0.04569995 -0.036592 -0.001418828 -0.04569995 -0.03403002 -0.001020669 -0.0478 -0.036592 -0.001418828 -0.03409993 -0.03716892 8.42113e-4 -0.03409993 -0.03433102 -8.42113e-4 -0.03409993 -0.03490781 0.001418828 -0.03409993 -0.09719997 0.008999943 0.05089998 -0.09719997 -0.04049998 0.05589991 -0.09719997 0.008999943 0.05589991 -0.0952 0.007749915 0.05589991 -0.09573531 0.01253527 0.05589991 -0.09388178 0.01093173 0.05589991 -0.09719997 -0.04049998 0.05089998 -0.09573549 -0.04403549 0.05089998 -0.0952 -0.03924989 0.05589991 -0.09388178 -0.04243177 0.05589991 -0.09573531 -0.04403531 0.05589991 -0.09719997 0.01125061 0.0445801 -0.09719997 -0.04275035 0.04458034 -0.09719997 0.0169999 0.04110205 -0.09719997 -0.0485 0.04110199 -0.09573549 -0.04585999 0.04639881 -0.09719997 0.0169999 -0.02980196 -0.09719997 -0.0485 -0.02980202 -0.09705162 -0.04970884 -0.03030836 -0.09705287 -0.04970377 0.04160642 -0.09705287 -0.04919141 0.04220163 -0.09719997 0.01125037 -0.03328037 -0.09719997 -0.04275059 -0.03328013 -0.09573549 -0.04585999 -0.03509885 -0.09705162 -0.04919391 -0.03090631 -0.09719997 0.008999943 -0.03959995 -0.09719997 -0.04049998 -0.03959995 -0.09667074 0.01123875 -0.04183888 -0.09667074 -0.04273891 -0.0418387 -0.09573549 -0.04403549 -0.03959995 -0.09573549 0.01253551 -0.03959995 -0.09573549 0.01436001 -0.03509885 -0.09705162 0.01820886 0.04160839 -0.09705287 0.01820385 -0.03030639 -0.09705287 0.01769143 -0.03090173 -0.09573549 0.01436001 0.04639881 -0.09705162 0.01769399 0.04220634 -0.09573549 0.01253551 0.05089998 -0.05919992 -0.04949992 -0.0382499 -0.05919992 -0.04833132 0.05022466 -0.05919992 -0.04949992 0.04954993 -0.0647 -0.04949992 0.04954993 -0.05919992 -0.05066859 0.05022466 -0.0647 -0.05066913 0.0502249 -0.05919992 -0.04374992 0.05589991 -0.05919992 -0.04833132 0.0515753 -0.0647 -0.04833084 0.0502249 -0.05919992 -0.04949992 0.0522499 -0.0647 -0.04833084 0.051575 -0.05919992 -0.05066859 0.0515753 -0.0647 -0.04949992 0.0522499 -0.0647 -0.05066913 0.051575 -0.05919992 -0.04833132 -0.04027521 -0.05919992 -0.04949992 -0.04095 -0.0647 -0.04949992 -0.04095 -0.05919992 -0.05066859 -0.04027521 -0.0647 -0.05066913 -0.04027491 -0.05919992 -0.04833132 -0.03892463 -0.0647 -0.04833084 -0.04027491 -0.0647 -0.04833084 -0.03892499 -0.05919992 -0.05066859 -0.03892463 -0.0647 -0.04949992 -0.0382499 -0.0647 -0.05066913 -0.03892499 -0.05919992 0.01916861 0.05022466 -0.05919992 0.01799988 0.04954993 -0.0647 0.01799988 0.04954993 -0.05919992 0.01224988 -0.04459995 -0.05919992 0.01683127 0.05022466 -0.0647 0.01683086 0.0502249 -0.05919992 0.01683127 -0.03892463 -0.05919992 0.01799988 -0.0382499 -0.05919992 0.01916861 0.0515753 -0.0647 0.01916909 0.0502249 -0.05919992 0.01799988 0.0522499 -0.0647 0.01916909 0.051575 -0.05919992 0.01683127 0.0515753 -0.0647 0.01799988 0.0522499 -0.0647 0.01683086 0.051575 -0.05919992 0.01916861 -0.04027521 -0.05919992 0.01799988 -0.04095 -0.0647 0.01799988 -0.04095 -0.05919992 0.01683127 -0.04027521 -0.0647 0.01683086 -0.04027491 -0.05919992 0.01916861 -0.03892463 -0.0647 0.01916909 -0.04027491 -0.0647 0.01916909 -0.03892499 -0.0647 0.01799988 -0.0382499 -0.0647 0.01683086 -0.03892499 -0.0672 0.02199995 0.05089998 -0.0672 0.02053529 0.05443531 -0.0672 0.02199995 -0.03959995 -0.0672 0.02199995 -0.03209996 -0.09219998 0.02199995 0.04339993 -0.0672 0.02199995 0.04339993 -0.0672 0.02053529 -0.04313528 -0.0672 0.0169999 -0.04459995 -0.05919992 0.01224988 0.05589991 -0.09069997 0.01224988 -0.04459995 -0.09219998 0.01399993 -0.04459995 -0.0672 0.01399993 -0.04459995 -0.0672 0.01399993 0.05589991 -0.09069997 0.01224988 0.05589991 -0.0672 0.0169999 0.05589991 -0.0672 -0.05349993 -0.03959995 -0.0672 -0.05203527 -0.04313528 -0.0672 -0.05349993 0.05089998 -0.0672 -0.05349993 0.04339993 -0.09219998 -0.05349993 -0.03209996 -0.0672 -0.05349993 -0.03209996 -0.0672 -0.05203527 0.05443531 -0.0672 -0.0485 0.05589991 -0.05919992 -0.04374992 -0.04459995 -0.09069997 -0.04374992 0.05589991 -0.0672 -0.04549998 0.05589991 -0.09219998 -0.04549998 0.05589991 -0.0672 -0.04549998 -0.04459995 -0.07469999 -0.04374992 -0.04459995 -0.07469999 -0.04374992 -0.04084998 -0.0672 -0.0485 -0.04459995 -0.09146279 0.01218479 -0.04459995 -0.09219998 0.01199263 -0.04459995 -0.09436351 0.0103631 -0.04410767 -0.0672 0.01399993 -0.03959995 -0.09543114 0.01281565 -0.04341536 -0.09219998 0.01399993 -0.03959995 -0.0672 0.01566171 -0.04095 -0.0672 0.01799988 -0.04229992 -0.07919996 -0.03924989 -0.04459995 -0.09219998 -0.04549998 -0.04459995 -0.09219998 -0.001494467 -0.04459995 -0.09543114 -0.04431533 -0.0434156 -0.09029668 -0.002428591 -0.04459995 -0.08819997 -0.002749979 -0.04084998 -0.09314972 -6.99747e-4 -0.04084998 -0.09438771 9.77123e-4 -0.04409581 -0.09219998 -0.04549998 -0.03959995 -0.07788175 -0.04243177 -0.04459995 -0.0672 -0.04716163 -0.04095 -0.0672 -0.04949992 -0.04229992 -0.0672 -0.04549998 -0.03959995 -0.07788175 -0.04243177 -0.04084998 -0.07919996 -0.007249951 -0.04459995 -0.07919996 -0.03924989 -0.04084998 -0.08051818 -0.004068136 -0.04459995 -0.07919996 -0.007249951 -0.04084998 -0.08819997 -0.002749979 -0.04459995 -0.0837 -0.002749979 -0.04459995 -0.08051818 -0.004068136 -0.04084998 -0.0837 -0.002749979 -0.04084998 -0.09219998 0.02199995 -0.03209996 -0.09374868 0.02175408 -0.03197699 -0.09219998 0.02126771 0.04516774 -0.09520113 0.02099913 0.04289948 -0.09372484 0.02176177 0.04328083 -0.0672 0.02126777 -0.03386765 -0.09219998 0.02126777 -0.03386765 -0.0672 0.02033817 -0.04095 -0.0672 0.02033817 -0.0382499 -0.0672 0.01899999 -0.0345999 -0.0672 0.01949989 -0.0345999 -0.0672 0.02033817 0.04954993 -0.0672 0.02033817 0.0522499 -0.0672 0.02126777 0.04516774 -0.09219998 0.01399993 0.05589991 -0.09219998 0.01399993 0.05089998 -0.0672 0.01799988 0.05359995 -0.0672 0.01566171 0.0522499 -0.0672 0.01399993 0.05089998 -0.0952 -0.03924989 -0.04084998 -0.0952 0.00424993 -0.04084998 -0.0952 0.00424993 -0.04359996 -0.0952 0.007749915 -0.04359996 -0.09388178 -0.04243177 -0.04084998 -0.09069997 -0.04374992 -0.04084998 -0.0672 -0.04549998 0.05089998 -0.0672 -0.04716163 0.0522499 -0.0672 -0.04949992 0.05359995 -0.09219998 -0.04549998 0.05089998 -0.09219998 -0.05349993 0.04339993 -0.09374868 -0.053254 0.04327702 -0.09219998 -0.05276775 -0.03386771 -0.09520113 -0.05249911 -0.03159952 -0.09372484 -0.05326169 -0.03198087 -0.0672 -0.05276775 0.04516774 -0.09219998 -0.05276775 0.04516774 -0.0672 -0.05183815 0.0522499 -0.0672 -0.05183815 0.04954993 -0.0672 -0.05049991 0.04589992 -0.0672 -0.05099993 0.04589992 -0.0672 -0.05183815 -0.0382499 -0.0672 -0.05183815 -0.04095 -0.0672 -0.05276775 -0.03386765 -0.0647 0.01799988 -0.04229992 -0.0647 0.02033835 -0.04094904 -0.0672 0.01566171 -0.0382499 -0.0647 0.01566153 -0.04094904 -0.0672 0.01546466 -0.03606462 -0.0672 0.01799988 -0.03689998 -0.0647 0.01566153 -0.0382508 -0.0647 0.01799988 -0.03689998 -0.0647 0.02033835 -0.0382508 -0.0672 0.01546466 0.04736465 -0.0672 0.01566171 0.04954993 -0.0672 0.01799988 0.04819995 -0.0647 0.01799988 0.04819995 -0.0647 0.02033835 0.04955083 -0.0672 0.01949989 0.04589992 -0.0647 0.01566153 0.04955083 -0.0647 0.01566153 0.05224913 -0.0647 0.01799988 0.05359995 -0.0647 0.02033835 0.05224913 -0.0647 -0.04949992 -0.04229992 -0.0647 -0.04716151 -0.04094904 -0.0647 -0.05183827 -0.04094904 -0.0672 -0.04949992 -0.03689998 -0.0647 -0.05183827 -0.0382508 -0.0672 -0.04696464 -0.03606462 -0.0672 -0.04716163 -0.0382499 -0.0647 -0.04949992 -0.03689998 -0.0672 -0.05099993 -0.0345999 -0.0647 -0.04716151 -0.0382508 -0.0672 -0.04949992 0.04819995 -0.0647 -0.04949992 0.04819995 -0.0672 -0.04696464 0.04736465 -0.0672 -0.04716163 0.04954993 -0.0647 -0.04716151 0.04955083 -0.0647 -0.05183827 0.04955083 -0.0647 -0.05183827 0.05224913 -0.0647 -0.04949992 0.05359995 -0.0647 -0.04716151 0.05224913 -0.09219998 -0.05049991 0.04589992 -0.09219998 -0.05099993 0.04589992 -0.09219998 -0.0469644 0.04736441 -0.09219998 -0.05099993 -0.0345999 -0.0672 -0.05049991 -0.0345999 -0.09219998 -0.0469644 -0.03606438 -0.09219998 -0.05049991 -0.0345999 -0.09219998 0.01949989 0.04589992 -0.0672 0.01899999 0.04589992 -0.09219998 0.01546442 0.04736441 -0.09219998 0.01899999 0.04589992 -0.09219998 0.01899999 -0.0345999 -0.09219998 0.01949989 -0.0345999 -0.09219998 0.01546442 -0.03606438 -0.09372484 0.0193808 0.04566168 -0.09573495 0.01881724 0.0444386 -0.09378111 0.01899999 0.04564332 -0.09378111 -0.05049991 0.04564332 -0.09519982 -0.05049991 0.04490005 -0.09374868 -0.05087703 0.04565405 -0.09372484 -0.05088084 -0.03436172 -0.09573495 -0.05031722 -0.03313863 -0.09378111 -0.05049991 -0.03434336 -0.09378111 0.01899999 -0.03434336 -0.09519982 0.01899999 -0.03360009 -0.09374868 0.01937699 -0.03435409 -0.0647 0.01683062 0.05157512 -0.0647 0.01916933 0.05022484 -0.0647 0.01683062 -0.03892487 -0.0647 0.01916933 -0.04027503 -0.0647 -0.05066931 0.05157512 -0.0647 -0.0483306 0.05022484 -0.0647 -0.05066931 -0.03892487 -0.0647 -0.0483306 -0.04027503 -0.09573352 -0.05031675 0.04444009 -0.09573352 0.0188167 -0.03314012 -0.095519 -0.05171263 0.04411268 -0.095519 -0.05171263 -0.03281265 -0.095519 0.02021265 0.04411262 -0.095519 0.02021265 -0.03281265 -0.09519988 0.01899999 0.0449 -0.0966413 0.01929664 0.0420894 -0.0966413 0.01825881 0.04323238 -0.0966432 0.01929295 -0.03078788 -0.09520041 0.02099967 -0.03159976 -0.0966432 0.01825714 -0.03192877 -0.09519988 -0.05049991 -0.03360009 -0.0966413 -0.05079662 -0.03078943 -0.0966413 -0.04975885 -0.03193241 -0.0966432 -0.05079299 0.04208785 -0.09520041 -0.05249965 0.04289972 -0.0966432 -0.04975712 0.04322886 0.02592992 0.008848071 -0.03399991 0.0363388 0.01271718 -0.03399991 0.02722352 0.02722352 -0.03399991 0.02722352 0.02722352 -0.04379993 0.01979899 0.01979899 -0.03399991 0.01271718 0.0363388 -0.03399991 0.01271718 0.0363388 -0.04379993 0.02597725 0.01044893 -0.03399991 0.03734344 4.27461e-4 -0.03399991 0.03825777 -0.004308879 -0.03399991 0.0363388 0.01271718 -0.04379993 0.0250597 -6.8587e-4 -0.03399991 0.02437376 0.001873791 -0.03399991 0.02089488 -0.006588101 -0.03399991 0.03617739 0.001593351 -0.03399991 0.03458327 0.001166701 -0.03399991 0.02472317 -0.007795155 -0.03399991 0.02048248 -0.03259891 -0.03399991 0.03259891 -0.02048248 -0.03399991 0.03825777 -0.004308879 -0.04379993 0.004308879 -0.03825777 -0.03399991 0.03691667 -0.001166701 -0.03399991 0.03259891 -0.02048248 -0.04379993 0.02048248 -0.03259891 -0.04379993 4.27461e-4 -0.03734344 -0.03399991 -0.01271718 -0.0363388 -0.03399991 0.004308879 -0.03825777 -0.04379993 0.001593351 -0.03617739 -0.03399991 0.01979899 -0.01979899 -0.03399991 -0.01979899 -0.01979899 -0.03399991 -0.02722352 -0.02722352 -0.03399991 -0.01271718 -0.0363388 -0.04379993 -0.002559602 -0.02318578 -0.03399991 -0.001873791 -0.02062606 -0.03399991 -0.008848071 -0.02592992 -0.03399991 -6.8587e-4 -0.0250597 -0.03399991 -0.001593351 -0.03532242 -0.03399991 -0.001166701 -0.03691667 -0.03399991 -0.01044893 -0.02597725 -0.03399991 -0.02592992 -0.008848071 -0.03399991 -0.0363388 -0.01271718 -0.03399991 -0.02722352 -0.02722352 -0.04379993 -0.02597725 -0.01044893 -0.03399991 -0.03734344 -4.27461e-4 -0.03399991 -0.03825777 0.004308879 -0.03399991 -0.0363388 -0.01271718 -0.04379993 -0.0250597 6.8587e-4 -0.03399991 -0.02437376 -0.001873791 -0.03399991 -0.02089488 0.006588101 -0.03399991 -0.03617739 -0.001593351 -0.03399991 -0.03458327 -0.001166701 -0.03399991 -0.02472317 0.007795155 -0.03399991 -0.02048248 0.03259891 -0.03399991 -0.03259891 0.02048248 -0.03399991 -0.03825777 0.004308879 -0.04379993 -0.004308879 0.03825777 -0.03399991 -0.03691667 0.001166701 -0.03399991 -0.03259891 0.02048248 -0.04379993 -0.02048248 0.03259891 -0.04379993 -4.27461e-4 0.03734344 -0.03399991 -0.004308879 0.03825777 -0.04379993 -0.01979899 0.01979899 -0.03399991 -0.001593351 0.03617739 -0.03399991 0.002559602 0.02318578 -0.03399991 0.001873791 0.02062606 -0.03399991 0.008848071 0.02592992 -0.03399991 6.8587e-4 0.0250597 -0.03399991 0.001593351 0.03532242 -0.03399991 0.001166701 0.03691667 -0.03399991 0.01044893 0.02597725 -0.03399991 0.007723212 0.01844859 -0.03399991 0.005932092 0.01431953 -0.03399991 0.0109601 0.0109601 -0.03399991 0.0109601 0.0109601 -0.037 0.01422035 0.008318722 -0.03399991 0.01431953 0.005932092 -0.03399991 0.01325082 0.008040845 -0.04379993 0.01414185 0.01414185 -0.03399991 0.006588101 0.02089488 -0.03399991 -1.09668e-6 0.01549983 -0.03399991 0.005932092 0.01431953 -0.037 0.006681323 0.01945155 -0.03399991 -0.005930662 0.01432043 -0.03399991 -1.09668e-6 0.01549983 -0.037 0.007795155 0.02472317 -0.03399991 -6.8587e-4 0.01994019 -0.03399991 -0.01095992 0.01095992 -0.03399991 -0.005930662 0.01432043 -0.037 -0.01994019 -6.8587e-4 -0.03399991 -0.01432043 0.005930662 -0.03399991 -0.01095992 0.01095992 -0.037 -0.02062606 0.001873791 -0.03399991 -0.002559602 0.02181404 -0.03399991 -0.02472317 -0.007795155 -0.03399991 -0.01549983 1.09668e-6 -0.03399991 -0.01432043 0.005930662 -0.037 -0.01844859 -0.007723212 -0.03399991 -0.01431953 -0.005932092 -0.03399991 -0.01549983 1.09668e-6 -0.037 -0.01945155 -0.006681323 -0.03399991 -0.02089488 -0.006588101 -0.03399991 -0.01414185 -0.01414185 -0.03399991 -0.0109601 -0.0109601 -0.03399991 -0.01431953 -0.005932092 -0.037 -0.007723212 -0.01844859 -0.03399991 -0.005932092 -0.01431953 -0.03399991 -0.0109601 -0.0109601 -0.037 -0.006588101 -0.02089488 -0.03399991 1.09668e-6 -0.01549983 -0.03399991 -0.005930602 -0.01432025 -0.037 -0.006681323 -0.01945155 -0.03399991 0.005930662 -0.01432043 -0.03399991 1.09669e-6 -0.01549988 -0.037 -0.007795155 -0.02472317 -0.03399991 6.8587e-4 -0.01994019 -0.03399991 0.01095992 -0.01095992 -0.03399991 0.005932092 -0.01431959 -0.037 0.01994019 6.8587e-4 -0.03399991 0.01432043 -0.005930662 -0.03399991 0.0109601 -0.0109601 -0.037 0.02062606 -0.001873791 -0.03399991 0.01402097 -0.008650481 -0.03399991 0.002559602 -0.02181404 -0.03399991 0.02472317 0.007795155 -0.03399991 0.01549983 -1.09668e-6 -0.03399991 0.01478254 -0.004660904 -0.037 0.01325082 -0.008040845 -0.04379993 0.0109601 -0.0109601 -0.04379993 0.01844859 0.007723212 -0.03399991 0.01478254 0.004660904 -0.037 0.02089488 0.006588101 -0.03399991 0.01945155 0.006681323 -0.03399991 0.01549988 -4.09297e-7 -0.037 0.01535159 0.008318901 -0.03399991 0.01478254 0.004660904 -0.04379993 -0.02181404 -0.002559602 -0.03399991 -0.02437376 -0.001873791 -0.03404992 -0.0250597 6.8587e-4 -0.03404992 -0.02181404 -0.002559602 -0.03404992 -0.01994019 -6.8587e-4 -0.03404992 -0.02318578 0.002559602 -0.03399991 -0.02062606 0.001873791 -0.03404992 -0.006681323 0.01945155 -0.03399991 -0.02318578 0.002559602 -0.03404992 -0.01945155 0.006681323 -0.03399991 -0.001873791 0.02437376 -0.03399991 -0.001873791 0.02437376 -0.03404992 6.8587e-4 0.0250597 -0.03404992 -0.006588101 0.02089488 -0.03399991 -0.002559602 0.02181404 -0.03404992 -6.8587e-4 0.01994019 -0.03404992 0.001873791 0.02062606 -0.03404992 0.002559602 0.02318578 -0.03404992 0.02181404 0.002559602 -0.03399991 0.02437376 0.001873791 -0.03404992 0.0250597 -6.8587e-4 -0.03404992 0.02181404 0.002559602 -0.03404992 0.01994019 6.8587e-4 -0.03404992 0.01555109 -0.009118258 -0.03399991 0.02318578 -0.002559602 -0.03399991 0.02062606 -0.001873791 -0.03404992 0.01501995 -0.008119583 -0.03399991 0.006681323 -0.01945155 -0.03399991 0.02318578 -0.002559602 -0.03404992 0.01945155 -0.006681323 -0.03399991 0.001873791 -0.02437376 -0.03399991 0.001873791 -0.02437376 -0.03404992 -6.8587e-4 -0.0250597 -0.03404992 0.006588101 -0.02089488 -0.03399991 0.002559602 -0.02181404 -0.03404992 0.01455223 -0.009649157 -0.03399991 6.8587e-4 -0.01994019 -0.03404992 -0.001873791 -0.02062606 -0.03404992 -0.002559602 -0.02318578 -0.03404992 -0.001166701 -0.03691667 -0.04379993 -0.001593351 -0.03532242 -0.04379993 4.27461e-4 -0.03734344 -0.04379993 0.01044893 -0.02597725 -0.03399991 0.001166701 -0.03458327 -0.03399991 0.001593351 -0.03617739 -0.04379993 0.008848071 -0.02592992 -0.03399991 -4.27461e-4 -0.0341565 -0.03399991 0.001166701 -0.03458327 -0.04379993 0.007795155 -0.02472317 -0.03399991 -4.27461e-4 -0.0341565 -0.04379993 -0.03691667 0.001166701 -0.04379993 -0.03532242 0.001593351 -0.03399991 -0.03532242 0.001593351 -0.04379993 -0.03734344 -4.27461e-4 -0.04379993 -0.03617739 -0.001593351 -0.04379993 -0.02592992 0.008848071 -0.03399991 -0.0341565 4.27461e-4 -0.03399991 -0.03458327 -0.001166701 -0.04379993 -0.02597725 0.01044893 -0.03399991 -0.0341565 4.27461e-4 -0.04379993 0.001166701 0.03691667 -0.04379993 0.001593351 0.03532242 -0.04379993 -4.27461e-4 0.03734344 -0.04379993 -0.01044893 0.02597725 -0.03399991 -0.001166701 0.03458327 -0.03399991 -0.001593351 0.03617739 -0.04379993 -0.008848071 0.02592992 -0.03399991 4.27461e-4 0.0341565 -0.03399991 -0.001166701 0.03458327 -0.04379993 -0.007795155 0.02472317 -0.03399991 4.27461e-4 0.0341565 -0.04379993 0.03691667 -0.001166701 -0.04379993 0.03532242 -0.001593351 -0.03399991 0.03532242 -0.001593351 -0.04379993 0.03734344 4.27461e-4 -0.04379993 0.03617739 0.001593351 -0.04379993 0.02592992 -0.008848071 -0.03399991 0.0341565 -4.27461e-4 -0.03399991 0.03458327 0.001166701 -0.04379993 0.02597725 -0.01044893 -0.03399991 0.0341565 -4.27461e-4 -0.04379993 0.01422035 0.008318722 -0.04379993 0.01422053 0.009449839 -0.03399991 0.01422053 0.009449839 -0.04379993 0.01535177 0.009450078 -0.03399991 0.01535159 0.008318901 -0.04379993 0.01535177 0.009450078 -0.04379993 0.01402097 -0.008650481 -0.04379993 0.01501995 -0.008119583 -0.04379993 0.01455223 -0.009649157 -0.04379993 0.01555109 -0.009118258 -0.04379993 0.02472317 0.007795155 -0.037 0.02089488 0.006588101 -0.037 0.02592992 0.008848071 -0.037 0.02597725 0.01044893 -0.037 0.01979899 0.01979899 -0.037 0.01044893 0.02597725 -0.037 0.008848071 0.02592992 -0.037 0.007795155 0.02472317 -0.037 0.006588101 0.02089488 -0.037 0.006681323 0.01945155 -0.037 0.007723212 0.01844859 -0.037 0.01414185 0.01414185 -0.037 0.01844859 0.007723212 -0.037 0.01945155 0.006681323 -0.037 -0.007723212 0.01844859 -0.03399991 -0.01414185 0.01414185 -0.03399991 -0.01844859 0.007723212 -0.03399991 -0.01844859 0.007723212 -0.037 -0.01945155 0.006681323 -0.037 -0.01414185 0.01414185 -0.037 -0.007723212 0.01844859 -0.037 -0.006681323 0.01945155 -0.037 -0.006588101 0.02089488 -0.037 -0.007795155 0.02472317 -0.037 -0.008848071 0.02592992 -0.037 -0.01044893 0.02597725 -0.037 -0.01979899 0.01979899 -0.037 -0.02597725 0.01044893 -0.037 -0.02592992 0.008848071 -0.037 -0.02472317 0.007795155 -0.037 -0.02089488 0.006588101 -0.037 -0.007723212 -0.01844859 -0.037 -0.006681323 -0.01945155 -0.037 -0.01414185 -0.01414185 -0.037 -0.01844859 -0.007723212 -0.037 -0.01945155 -0.006681323 -0.037 -0.02089488 -0.006588101 -0.037 -0.02472317 -0.007795155 -0.037 -0.02592992 -0.008848071 -0.037 -0.02597725 -0.01044893 -0.037 -0.01979899 -0.01979899 -0.037 -0.01044893 -0.02597725 -0.037 -0.008848071 -0.02592992 -0.037 -0.007795155 -0.02472317 -0.037 -0.006588101 -0.02089488 -0.037 0.02597725 -0.01044893 -0.037 0.01979899 -0.01979899 -0.037 0.02592992 -0.008848071 -0.037 0.02472317 -0.007795155 -0.037 0.02089488 -0.006588101 -0.037 0.007723212 -0.01844859 -0.03399991 0.01844859 -0.007723212 -0.03399991 0.01945155 -0.006681323 -0.037 0.01414185 -0.01414185 -0.03399991 0.01844859 -0.007723212 -0.037 0.01414185 -0.01414185 -0.037 0.007723212 -0.01844859 -0.037 0.006681323 -0.01945155 -0.037 0.006588101 -0.02089488 -0.037 0.007795155 -0.02472317 -0.037 0.008848071 -0.02592992 -0.037 0.01044893 -0.02597725 -0.037 -0.007763445 -0.02897781 -0.037 -0.02121317 -0.02121317 -0.037 -0.02121317 -0.02121317 -0.03949993 -0.02897781 -0.007763445 -0.037 -0.02897739 -0.007764458 -0.03949993 0.007763445 -0.02897781 -0.037 -0.007764458 -0.02897739 -0.03949993 -0.005409181 -0.02394938 -0.037 -0.001449286 -0.0279091 -0.037 0.02121317 -0.02121317 -0.037 0.007764518 -0.02897775 -0.03949993 0.02897781 -0.007763445 -0.037 0.02121293 -0.02121293 -0.03949993 0.0279091 -0.001449286 -0.037 0.02897781 0.007763445 -0.037 0.02897775 -0.007764518 -0.03949993 0.02394938 -0.005409181 -0.037 0.02121317 0.02121317 -0.037 0.02897739 0.007764458 -0.03949993 0.02645975 0.003959715 -0.037 0.02105057 0.005409181 -0.037 0.007763445 0.02897781 -0.037 0.02121317 0.02121317 -0.03949993 -0.007763445 0.02897781 -0.037 0.007764458 0.02897739 -0.03949993 0.005409181 0.02394938 -0.037 0.001449286 0.0279091 -0.037 -0.02121317 0.02121317 -0.037 -0.007764518 0.02897775 -0.03949993 -0.02897781 0.007763445 -0.037 -0.02121293 0.02121293 -0.03949993 -0.0279091 0.001449286 -0.037 -0.02897775 0.007764518 -0.03949993 -0.02394938 0.005409181 -0.037 -0.02645975 -0.003959715 -0.037 -0.02105057 -0.005409181 -0.037 -0.0185402 0.003959715 -0.037 -0.01709073 -0.001449286 -0.037 -0.003959715 0.02645975 -0.037 -0.005409181 0.02105057 -0.037 0.003959715 0.0185402 -0.037 -0.001449286 0.01709073 -0.037 0.01708513 -0.006092429 -0.037 0.0185402 -0.003959715 -0.037 0.01709073 0.001449286 -0.037 0.01586037 -0.00500077 -0.037 0.003959715 -0.02645975 -0.037 0.005409181 -0.02105057 -0.037 -0.003959715 -0.0185402 -0.037 0.001449286 -0.01709073 -0.037 0.01329302 -0.01234143 -0.037 0.01175928 -0.01175928 -0.037 0.01586037 0.00500077 -0.037 0.01708513 0.006092429 -0.037 0.01474636 0.01158022 -0.037 0.01602989 0.009726524 -0.037 0.01708102 0.007733047 -0.037 0.01329302 0.01234143 -0.037 0.01175928 0.01175928 -0.037 0.01474636 -0.01158022 -0.037 0.01602989 -0.009726524 -0.037 0.01708102 -0.007733047 -0.037 0.01474636 0.01158022 -0.04379993 0.01329302 0.01234143 -0.04379993 0.01602989 0.009726524 -0.04379993 0.01708102 0.007733047 -0.04379993 0.01708513 0.006092429 -0.04379993 0.01586037 0.00500077 -0.04379993 0.01586037 -0.00500077 -0.04379993 0.01478254 -0.004660904 -0.04379993 0.01708513 -0.006092429 -0.04379993 0.01708102 -0.007733047 -0.04379993 0.01602989 -0.009726524 -0.04379993 0.01474636 -0.01158022 -0.04379993 0.01329302 -0.01234143 -0.04379993 0.01175928 -0.01175928 -0.04379993 0.01175928 0.01175928 -0.04379993 0.0109601 0.0109601 -0.04379993 0.0233345 0.0233345 -0.04379993 0.0233342 -0.0233342 -0.04379993 0.03187555 -0.008540987 -0.04379993 0.008540987 -0.03187555 -0.04379993 -0.0233345 -0.0233345 -0.04379993 -0.008540928 -0.03187513 -0.04379993 -0.0233342 0.0233342 -0.04379993 -0.03187555 0.008540987 -0.04379993 -0.008540987 0.03187555 -0.04379993 0.008540928 0.03187513 -0.04379993 0.03187513 0.008540928 -0.04379993 0.0233345 0.0233345 -0.03949993 0.008539795 0.03187561 -0.03949993 0.03187561 0.008539795 -0.03949993 0.03187561 -0.008539795 -0.03949993 0.0233345 -0.0233345 -0.03949993 0.008539795 -0.03187561 -0.03949993 -0.008539795 -0.03187561 -0.03949993 -0.03187513 -0.008540928 -0.04379993 -0.0233345 -0.0233345 -0.03949993 -0.03187561 -0.008539795 -0.03949993 -0.03187561 0.008539795 -0.03949993 -0.0233345 0.0233345 -0.03949993 -0.008539795 0.03187561 -0.03949993 -0.02110445 -0.08999997 0.01299995 -0.0280295 -0.08999997 -0.008638024 -0.02695447 -0.08999997 -0.01049995 -0.02695447 -0.07699996 -0.01049995 -0.02110445 -0.08999997 -0.01299995 -0.0280295 -0.08999997 -0.01236194 -0.0280295 -0.07699996 -0.01236194 -0.0280295 -0.08999997 -0.005361914 -0.0301795 -0.08999997 -0.008638024 -0.0280295 -0.07699996 -0.008638024 -0.02695447 -0.08999997 -0.003499925 -0.03343015 -0.08999997 -0.01299995 -0.03125447 -0.08999997 -0.01049995 -0.0301795 -0.07699996 -0.008638024 -0.0301795 -0.08999997 -0.01236194 -0.03125447 -0.07699996 -0.01049995 -0.0301795 -0.07699996 -0.01236194 -0.0280295 -0.08999997 -0.001637995 -0.02695447 -0.07699996 -0.003499925 -0.0280295 -0.07699996 -0.005361914 -0.0280295 -0.08999997 0.001637995 -0.0301795 -0.08999997 -0.001637995 -0.0280295 -0.07699996 -0.001637995 -0.03589618 -0.08999997 0 -0.03125447 -0.08999997 -0.003499925 -0.0301795 -0.07699996 -0.001637995 -0.0301795 -0.08999997 -0.005361914 -0.03125447 -0.07699996 -0.003499925 -0.0301795 -0.07699996 -0.005361914 -0.0280295 -0.08999997 0.005361914 -0.02695447 -0.08999997 0.003499925 -0.02695447 -0.07699996 0.003499925 -0.0280295 -0.07699996 0.001637995 -0.0301795 -0.08999997 0.005361914 -0.0280295 -0.07699996 0.005361914 -0.03125447 -0.08999997 0.003499925 -0.0301795 -0.07699996 0.005361914 -0.0280295 -0.08999997 0.008638024 -0.0301795 -0.08999997 0.001637995 -0.03125447 -0.07699996 0.003499925 -0.0301795 -0.07699996 0.001637995 -0.0280295 -0.08999997 0.01236194 -0.02695447 -0.08999997 0.01049995 -0.02695447 -0.07699996 0.01049995 -0.0280295 -0.07699996 0.008638024 -0.0301795 -0.08999997 0.01236194 -0.0280295 -0.07699996 0.01236194 -0.03343015 -0.08999997 0.01299995 -0.03125447 -0.08999997 0.01049995 -0.0301795 -0.07699996 0.01236194 -0.0301795 -0.08999997 0.008638024 -0.03125447 -0.07699996 0.01049995 -0.0301795 -0.07699996 0.008638024 -0.02024245 -0.08913797 0.01272994 -0.0221045 -0.08899998 0.01399993 -0.02137452 -0.08913797 0.01386201 -0.02069026 -0.08958578 0.0134142 -0.02137452 -0.08913797 -0.01386201 -0.0201044 -0.08899998 0.01199996 -0.0201044 -0.08899998 -0.01199996 -0.02024245 -0.08913797 -0.01272994 -0.02069026 -0.08958578 -0.0134142 -0.0341044 -0.08899998 -0.01399993 -0.03376591 -0.08950465 -0.01349526 -0.0221045 -0.08899998 -0.01399993 -0.0368961 -0.08899998 0 -0.0341044 -0.08899998 0.01399993 -0.03376638 -0.08950382 0.0134961 -0.0201044 -0.08199995 -0.01199996 -0.0201044 -0.08199995 0.01199996 -0.01725 -0.08199995 0.0209999 -0.02069026 -0.08199995 0.0134142 -0.01725 -0.08199995 -0.0209999 -0.02069026 -0.08199995 -0.0134142 -0.0341044 -0.08199995 -0.01399993 -0.0221045 -0.08199995 -0.01399993 -0.03236943 -0.08199995 -0.01760554 -0.03024995 -0.08199995 -0.0209999 -0.03024995 -0.07699996 -0.0209999 -0.03613674 -0.07699996 -0.007406592 -0.02324998 -0.07699996 -0.0209999 -0.01624995 -0.08099997 -0.0209999 -0.03613674 -0.07699996 0.007406592 -0.03024995 -0.08199995 0.0209999 -0.03024995 -0.07699996 0.0209999 -0.03236943 -0.08199995 0.01760554 -0.0341044 -0.08199995 0.01399993 -0.02324998 -0.07699996 0.0209999 -0.01624995 -0.08099997 0.0209999 -0.0221045 -0.08199995 0.01399993 -0.02324998 -0.046 0.01799988 -0.01624995 -0.04799991 -0.0209999 -0.02324998 -0.03299999 -0.0209999 -0.02324998 -0.046 -0.01799988 -0.01624995 -0.04799991 0.0209999 -0.02324998 -0.03299999 0.0209999 -0.01239997 -0.04799991 0.01399993 -0.002249956 -0.03299999 0.0209999 -0.002249956 -0.04699999 0.0209999 -0.003249943 -0.04799991 0.0209999 -0.011325 -0.04799991 0.01586186 -0.003249943 -0.04799991 -0.0209999 -0.009174942 -0.04799991 -0.01636195 -0.011325 -0.04799991 -0.01636195 -0.01239997 -0.04799991 -0.01449996 -0.011325 -0.04799991 -0.01263803 -0.009174942 -0.04799991 -0.006861925 -0.011325 -0.04799991 -0.006861925 -0.01239997 -0.04799991 -0.004999995 -0.011325 -0.04799991 0.002637982 -0.01239997 -0.04799991 0.004499912 -0.011325 -0.04799991 0.01213794 -0.002249956 -0.04699999 -0.0209999 -0.008099973 -0.04799991 -0.01449996 -0.002249956 -0.03299999 -0.0209999 -0.003249943 -0.032 -0.01999998 -0.003249943 -0.032 0.01999998 -0.02324998 -0.032 -0.01799988 -0.02324998 -0.032 -0.01999998 -0.02324998 -0.032 0.01999998 -0.009174942 -0.04799991 -0.01263803 -0.008099973 -0.04799991 -0.004999995 -0.009174942 -0.04799991 -0.003137946 -0.008099973 -0.04799991 0.004499912 -0.009174942 -0.04799991 0.006361842 -0.011325 -0.04799991 0.006361842 -0.009174942 -0.04799991 0.01213794 -0.008099973 -0.04799991 0.01399993 -0.009174942 -0.04799991 0.01586186 -0.007749915 -0.046 -0.01799988 -0.007749915 -0.032 -0.01799988 -0.01239997 -0.046 -0.01449996 -0.011325 -0.046 -0.01636195 -0.02324998 -0.032 0.01799988 -0.007749915 -0.032 0.01799988 -0.007749915 -0.046 0.01799988 -0.009174942 -0.046 0.01586186 -0.00575 -0.046 0.01599997 -0.006335735 -0.046 0.01741421 -0.011325 -0.046 -0.01263803 -0.009174942 -0.046 -0.01263803 -0.01239997 -0.046 -0.004999995 -0.011325 -0.046 -0.003137946 -0.009174942 -0.046 -0.003137946 -0.011325 -0.046 0.002637982 -0.011325 -0.046 0.006361842 -0.01239997 -0.046 0.004499912 -0.009174942 -0.046 0.006361842 -0.011325 -0.046 0.01213794 -0.011325 -0.046 0.01586186 -0.01239997 -0.046 0.01399993 -0.009174942 -0.046 -0.01636195 -0.008099973 -0.046 -0.01449996 -0.009174942 -0.04799991 0.002637982 -0.011325 -0.04799991 -0.003137946 -0.011325 -0.046 -0.006861925 -0.009174942 -0.046 -0.006861925 -0.008099973 -0.046 -0.004999995 -0.009174942 -0.046 0.002637982 -0.008099973 -0.046 0.004499912 -0.009174942 -0.046 0.01213794 -0.008099973 -0.046 0.01399993 -0.006335735 -0.032 0.01741421 -0.00575 -0.032 0.01599997 -0.00575 -0.032 -0.01599997 -0.006335735 -0.032 -0.01741421 -0.00575 -0.046 -0.01599997 -0.006335735 -0.046 -0.01741421 0.0043329 -7.91076e-4 -0.04049998 0.003859817 -5.10349e-4 -0.04049998 0.002489626 -8.59954e-4 -0.04049998 0.002489626 -8.59954e-4 -0.03899997 0.002208888 -0.001332879 -0.04049998 0.002140045 5.10349e-4 -0.04049998 0.002140045 5.10349e-4 -0.03899997 0.003791034 0.001332879 -0.04049998 0.003510296 8.59954e-4 -0.04049998 0.003859817 -5.10349e-4 -0.03899997 0.001666963 7.91076e-4 -0.04049998 0.003510296 8.59954e-4 -0.03899997 0.002082586 -0.001545727 -0.0406025 0.004633903 -9.69706e-4 -0.04084998 0.001366019 9.69706e-4 -0.04084998 0.002030253 -0.001633882 -0.04084998 0.003917336 0.001545727 -0.0406025 0.003969669 0.001633882 -0.04084998 0.003408253 6.87963e-4 -0.03899997 0.003687918 -4.08297e-4 -0.03899997 0.002312004 4.08297e-4 -0.03899997 0.002591669 -6.87963e-4 -0.03899997 0.002591669 -6.87963e-4 -0.03049999 0.002312004 4.08297e-4 -0.03049999 0.003687918 -4.08297e-4 -0.03049999 0.003408253 6.87963e-4 -0.03049999 0.003744721 -4.41995e-4 -0.04249989 0.004461765 -8.67608e-4 -0.04249989 0.002132356 -0.001461863 -0.04249989 0.002030253 -0.001633882 -0.04229992 0.00224483 -4.23968e-4 -0.04249989 0.001538038 8.67608e-4 -0.04249989 0.001366019 9.69706e-4 -0.04229992 0.00298959 -8.65963e-4 -0.04249989 0.003755033 4.23968e-4 -0.04249989 0.003867626 0.001461863 -0.04249989 0.004633903 -9.69706e-4 -0.04229992 0.002255201 4.41995e-4 -0.04249989 0.003969669 0.001633882 -0.04229992 0.003010392 8.65963e-4 -0.04249989 0.00224483 -4.23968e-4 -0.04149997 0.00298959 -8.65963e-4 -0.04149997 0.002255201 4.41995e-4 -0.04149997 0.003010392 8.65963e-4 -0.04149997 0.003755033 4.23968e-4 -0.04149997 0.003744721 -4.41995e-4 -0.04149997 -0.0043329 7.91076e-4 -0.04049998 -0.003859817 5.10349e-4 -0.04049998 -0.002489626 8.59954e-4 -0.04049998 -0.002489626 8.59954e-4 -0.03899997 -0.002208888 0.001332879 -0.04049998 -0.002140045 -5.10349e-4 -0.04049998 -0.002140045 -5.10349e-4 -0.03899997 -0.003791034 -0.001332879 -0.04049998 -0.003510296 -8.59954e-4 -0.04049998 -0.003859817 5.10349e-4 -0.03899997 -0.001666963 -7.91076e-4 -0.04049998 -0.003510296 -8.59954e-4 -0.03899997 -0.002082586 0.001545727 -0.0406025 -0.004633903 9.69706e-4 -0.04084998 -0.001366019 -9.69706e-4 -0.04084998 -0.002030253 0.001633882 -0.04084998 -0.003917336 -0.001545727 -0.0406025 -0.003969669 -0.001633882 -0.04084998 -0.003408253 -6.87963e-4 -0.03899997 -0.003687918 4.08297e-4 -0.03899997 -0.002312004 -4.08297e-4 -0.03899997 -0.002591669 6.87963e-4 -0.03899997 -0.002591669 6.87963e-4 -0.03049999 -0.002312004 -4.08297e-4 -0.03049999 -0.003687918 4.08297e-4 -0.03049999 -0.003408253 -6.87963e-4 -0.03049999 -0.003744721 4.41995e-4 -0.04249989 -0.004461765 8.67608e-4 -0.04249989 -0.002132356 0.001461863 -0.04249989 -0.002030253 0.001633882 -0.04229992 -0.00224483 4.23968e-4 -0.04249989 -0.001538038 -8.67608e-4 -0.04249989 -0.001366019 -9.69706e-4 -0.04229992 -0.00298959 8.65963e-4 -0.04249989 -0.003755033 -4.23968e-4 -0.04249989 -0.003867626 -0.001461863 -0.04249989 -0.004633903 9.69706e-4 -0.04229992 -0.002255201 -4.41995e-4 -0.04249989 -0.003969669 -0.001633882 -0.04229992 -0.003010392 -8.65963e-4 -0.04249989 -0.00224483 4.23968e-4 -0.04149997 -0.00298959 8.65963e-4 -0.04149997 -0.002255201 -4.41995e-4 -0.04149997 -0.003010392 -8.65963e-4 -0.04149997 -0.003755033 -4.23968e-4 -0.04149997 -0.003744721 4.41995e-4 -0.04149997</float_array>
+ <technique_common>
+ <accessor source="#shoulder_aa-mesh-positions-array" count="9250" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shoulder_aa-mesh-normals">
+ <float_array id="shoulder_aa-mesh-normals-array" count="56748">1 0 0 0 0.7070885 0.7071251 1 0 0 0 0.7070915 -0.707122 1 0 0 0 0.7070915 -0.707122 1 0 0 0 -0.7071046 0.707109 1 0 0 0 0.7070885 0.7071251 1 0 0 0 -0.7071077 -0.7071059 1 0 0 0 -0.7071046 0.707109 1 0 0 0 -0.7071077 -0.7071059 0 -0.7071074 0.7071062 0 -0.7071055 -0.7071081 0 -0.7071055 -0.7071081 0 0.7071074 0.7071063 0 -0.7071074 0.7071062 0 0.7071055 -0.7071081 0 0.7071074 0.7071063 0 0.7071055 -0.7071081 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7070915 0.707122 1 0 0 0 0.7070885 -0.7071251 1 0 0 0 0.7070885 -0.7071251 1 0 0 0 -0.7071077 0.7071059 1 0 0 0 0.7070915 0.707122 1 0 0 0 -0.7071046 -0.707109 1 0 0 0 -0.7071077 0.7071059 1 0 0 0 -0.7071046 -0.707109 0 -0.7071055 0.7071081 0 -0.7071074 -0.7071062 0 -0.7071074 -0.7071062 0 0.7071055 0.7071081 0 -0.7071055 0.7071081 0 0.7071074 -0.7071063 0 0.7071055 0.7071081 0 0.7071074 -0.7071063 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7070875 0.707126 1 0 0 0 0.7070906 -0.7071231 1 0 0 0 0.7070906 -0.7071231 1 0 0 0 -0.7071068 0.7071068 1 0 0 0 0.7070875 0.707126 1 0 0 0 -0.7071098 -0.7071037 1 0 0 0 -0.7071068 0.7071068 1 0 0 0 -0.7071098 -0.7071037 0 -0.7071071 0.7071065 0 -0.7071052 -0.7071084 0 -0.7071052 -0.7071084 0 0.7071071 0.7071065 0 -0.7071071 0.7071065 0 0.7071052 -0.7071084 0 0.7071071 0.7071065 0 0.7071052 -0.7071084 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7070906 0.7071231 1 0 0 0 0.7070875 -0.707126 1 0 0 0 0.7070875 -0.707126 1 0 0 0 -0.7071098 0.7071037 1 0 0 0 0.7070906 0.7071231 1 0 0 0 -0.7071068 -0.7071068 1 0 0 0 -0.7071098 0.7071037 1 0 0 0 -0.7071068 -0.7071068 0 -0.7071052 0.7071084 0 -0.7071071 -0.7071065 0 -0.7071071 -0.7071065 0 0.7071052 0.7071084 0 -0.7071052 0.7071084 0 0.7071071 -0.7071065 0 0.7071052 0.7071084 0 0.7071071 -0.7071065 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 0.8165268 0.5773075 0 0 1 0 0 0.5773788 -0.8164764 0 0.5773787 -0.8164765 0 0.5773135 0.8165227 0.8165268 0.5773075 0 -0.8164724 0.5773845 0 0 0.5773134 0.8165227 -0.8164724 0.5773846 0 0 -1 0 0 -0.5773135 0.8165227 0 -1 0 -0.8164724 -0.5773845 0 -0.8164723 -0.5773845 0 0.8165268 -0.5773075 0 0 -0.5773134 0.8165227 0 -0.5773788 -0.8164764 0.8165268 -0.5773075 0 0 -0.5773788 -0.8164765 1 0 0 1 0 0 0 0 -1 0 0 1 0 0 1 -1 0 0 -1 0 0 0 0 -1 0 1 0 0 0.5773177 -0.8165197 0 1 0 -0.8164965 0.5773504 0 -0.8164965 0.5773504 0 0.8164772 0.5773777 0 0 0.5773177 -0.8165197 0 0.5773724 0.816481 0.8164772 0.5773777 0 0 0.5773724 0.8164809 0 -1 0 0.8164772 -0.5773777 0 0 -1 0 0 -0.5773724 0.816481 0 -0.5773724 0.8164809 0 -0.5773177 -0.8165197 0.8164771 -0.5773777 0 -0.8164965 -0.5773504 0 0 -0.5773177 -0.8165197 -0.8164965 -0.5773504 0 0 0 -1 0 0 -1 -1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 -1 0 0 0 1 0 -0.8164724 0.5773845 0 0 1 0 0 0.5773135 0.8165227 0 0.5773135 0.8165226 0 0.5773788 -0.8164764 -0.8164723 0.5773845 0 0.8165254 0.5773096 0 0 0.5773787 -0.8164765 0.8165254 0.5773096 0 0 -1 0 0 -0.5773788 -0.8164764 0 -1 0 0.8165254 -0.5773096 0 0.8165253 -0.5773095 0 -0.8164724 -0.5773845 0 0 -0.5773788 -0.8164765 0 -0.5773135 0.8165227 -0.8164723 -0.5773845 0 0 -0.5773135 0.8165226 -1 0 0 -1 0 0 0 0 1 0 0 -1 0 0 -1 1 0 0 1 0 0 0 0 1 0 1 0 0 0.5773744 0.8164795 0 1 0 0.8164772 0.5773777 0 0.8164771 0.5773777 0 -0.8164965 0.5773504 0 0 0.5773744 0.8164795 0 0.5773197 -0.8165182 -0.8164965 0.5773504 0 0 0.5773197 -0.8165183 0 -1 0 -0.8164965 -0.5773504 0 0 -1 0 0 -0.5773197 -0.8165182 0 -0.5773196 -0.8165182 0 -0.5773744 0.8164795 -0.8164965 -0.5773504 0 0.8164772 -0.5773777 0 0 -0.5773744 0.8164795 0.8164771 -0.5773777 0 0 0 1 0 0 1 1 0 0 -1 0 0 -1 0 0 0 0 -1 0 0 -1 1 0 0 0 -1 0 -1 0 0 0 -1 0 -0.5000005 0 0.8660252 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -0.5000005 0 0.8660252 0 -1 0 -0.4999515 0 -0.8660534 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.4999515 0 -0.8660534 0 -1 0 0.4999517 0 -0.8660532 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -1 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0.4999517 0 -0.8660532 1 0 0 0 -1 0 0.5000007 0 0.8660251 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.5000007 0 0.8660251 0 -1 0 0 -1 0 0 -1 0 0 0 1 -0.4999957 0 0.8660278 0.5000045 0 0.8660228 0.5000045 0 0.8660228 -1 0 0 -0.4999957 0 0.8660278 0 -1 0 -0.4999788 0 -0.8660376 0 -1 0 0 -1 0 -1 0 0 0 -1 0 0.4999876 0 -0.8660325 0 -1 0 -0.4999788 0 -0.8660376 0 -1 0 1 0 0 0.4999876 0 -0.8660325 1 0 0 0.4999881 0 -0.8660323 -0.4999873 0 -0.8660328 -0.4999873 0 -0.8660328 1 0 0 0.4999881 0 -0.8660323 0 -1 0 0.5000076 0 0.866021 0 -1 0 0 -1 0 1 0 0 0 -1 0 -0.5000069 0 0.8660215 0 -1 0 0.5000076 0 0.866021 0 -1 0 -1 0 0 -0.5000069 0 0.8660215 -1 0 0 -0.5000042 0 0.8660231 0.500005 -2.1979e-4 0.8660225 0.5002205 0 0.8658982 -1 3.97364e-5 0 -0.5002198 -2.19895e-4 0.8658985 0 -1 0 -0.4999873 -2.19948e-4 -0.8660327 -1 3.97364e-5 0 0 -1 0 0.4999881 0 -0.8660323 0 -1 0 0 -1 0 -0.5002029 0 -0.8659083 0 -1 0 1 4.00469e-5 0 0.5002036 -2.19755e-4 -0.8659078 1 4.00469e-5 0 0.4999877 0 -0.8660326 -0.4999788 -2.32572e-4 -0.8660376 -0.5002068 0 -0.865906 1 3.97364e-5 0 0.5002059 -2.22585e-4 -0.8659065 0 -1 0 0.5000072 -2.19944e-4 0.8660212 1 3.97364e-5 0 0 -1 0 -0.4999983 0 0.8660264 0 -1 0 0 -1 0 0.5002227 0 0.8658967 0 -1 0 -1 1.98682e-5 0 -0.5002236 -2.29846e-4 0.8658962 -1 1.98682e-5 0 0 -1 0 0.4999877 0 -0.8660326 0 -1 0 -0.499988 -8.80298e-5 -0.8660324 -0.5002014 0 -0.8659091 0 -1 0 1 8.51495e-6 0 0.5002098 -9.1609e-5 -0.8659042 0 -1 0 0.5000054 -9.16207e-5 0.8660222 0 -1 0 0 -1 0 0 -1 0 1 8.51495e-6 0 0 -1 0 -0.5000057 0 0.8660221 0.5002275 0 0.865894 0 -1 0 -1 1.56994e-5 0 -0.5002191 -8.80113e-5 0.8658989 0 -1 0 0 -1 0 0 -1 0 -1 1.56994e-5 0 0 -1 0 0.4999989 0 -0.8660261 0 -1 0 -0.4999884 -9.53491e-5 -0.8660321 0 -1 0 -0.5002195 0 -0.8658986 1 1.7296e-5 0 0.5002299 -9.52581e-5 -0.8658927 0 -1 0 0.5000168 -8.65235e-5 0.8660158 1 1.7296e-5 0 0 -1 0 -0.5000063 0 0.8660217 0.5002265 0 0.8658946 -1 1.71629e-5 0 -0.5002162 -8.65739e-5 0.8659006 0 -1 0 -1 1.71629e-5 0 0.5000119 0 -0.8660185 -0.500015 -8.79727e-5 -0.8660167 -0.5002283 0 -0.8658935 1 1.69966e-5 0 0.5002254 -8.80355e-5 -0.8658953 0 -1 0 0.4999974 -8.66747e-5 0.8660269 1 1.69966e-5 0 0 -1 0 -0.5000005 0 0.866025 0 -1 0 0.5002075 0 0.8659056 -1 1.71629e-5 0 -0.5002105 -8.65744e-5 0.8659039 -1 1.71629e-5 0 0 -1 0 0.4999883 0 -0.8660322 0 -1 0 -0.4999886 -9.954e-5 -0.866032 0 -1 0 -0.5002299 0 -0.8658927 1 1.70299e-5 0 0.5002195 -9.5386e-5 -0.8658986 0 -1 0 0.5000061 -8.66574e-5 0.8660219 1 1.70299e-5 0 0 -1 0 -0.5000064 0 0.8660217 0 -1 0 0.5002162 0 0.8659006 0 -1 0 -1 8.78104e-6 0 -0.5002265 -9.07659e-5 0.8658946 0 -1 0 0 -1 0 0 -1 0 -1 8.78104e-6 0 0 -1 0 0.499988 0 -0.8660324 0 -1 0 -0.4999877 -8.73646e-5 -0.8660326 -0.5001995 0 -0.8659102 0 -1 0 1 8.78104e-6 0 0.5002098 -9.14791e-5 -0.8659042 0 -1 0 0.5000057 -9.14876e-5 0.8660221 0 -1 0 1 8.78104e-6 0 0 -1 0 -0.5000054 0 0.8660222 0.5002275 0 0.865894 0 -1 0 -1 1.70299e-5 0 -0.5002171 -8.7346e-5 0.8659 0 -1 0 0 -1 0 0 -1 0 -1 1.70299e-5 0 0 -1 0 0.4999883 0 -0.8660322 0 -1 0 -0.4999886 -9.21658e-5 -0.866032 -0.500212 0 -0.865903 1 1.70299e-5 0 0.5002017 -8.80217e-5 -0.865909 0.5000061 -8.66574e-5 0.8660219 1 1.70299e-5 0 -0.5000064 0 0.8660217 0.5002162 0 0.8659006 -1 8.78104e-6 0 -0.5002265 -9.07659e-5 0.8658946 -1 8.78104e-6 0 0 -1 0 0.5000153 0 -0.8660166 0 -1 0 -0.5000184 -8.7742e-5 -0.8660148 0 -1 0 -0.5002312 0 -0.8658919 1 1.69966e-5 0 0.5002282 -8.78144e-5 -0.8658936 0.4999974 -8.80573e-5 0.8660269 1 1.69966e-5 0 -0.5000005 0 0.866025 0.5002109 0 0.8659037 -1 1.71629e-5 0 -0.5002139 -8.79565e-5 0.865902 -1 1.71629e-5 0 0 -1 0 0.4999989 0 -0.8660261 0 -1 0 -0.4999884 -8.79749e-5 -0.8660321 0 -1 0 -0.5002017 0 -0.865909 0 -1 0 1 1.7296e-5 0 0.500212 -8.78936e-5 -0.865903 0.5000168 -8.65235e-5 0.8660158 1 1.7296e-5 0 -0.5000063 0 0.8660217 0.5002265 0 0.8658946 -1 1.71629e-5 0 -0.5002162 -8.65739e-5 0.8659006 -1 1.71629e-5 0 -0.2588499 0 -0.9659175 0.2588503 -9.34749e-5 -0.9659174 0.2588396 0 -0.9659204 -0.7071049 2.1205e-4 -0.7071086 -0.2588393 -9.22762e-5 -0.9659204 0 -1 0 -0.9659177 -2.60487e-4 -0.2588494 -0.7070906 4.21604e-5 -0.7071229 -0.9659175 1.74519e-4 0.2588499 -0.9659311 1.74521e-4 -0.2587994 -0.707107 3.81954e-5 0.7071065 -0.9659309 -2.61961e-4 0.2587998 -0.2588493 -6.34835e-5 0.9659177 -0.7070906 2.33113e-4 0.7071229 0.2588497 0 0.9659177 -0.258842 0 0.9659197 0.7071068 2.29832e-4 0.7071068 0.2588422 -6.46586e-5 0.9659196 0 -1 0 0.9659177 -2.56536e-4 0.2588492 0.707091 4.216e-5 0.7071226 0.965918 1.7272e-4 -0.2588487 0.9659309 1.72722e-4 0.2587999 0.7071047 4.60999e-5 -0.7071089 0.9659309 -2.55117e-4 -0.2587996 0.707091 2.08747e-4 -0.7071226 0 1 0 -0.7071031 0 0.7071104 -1 0 0 -0.7071031 0 0.7071104 0 1 0 -0.002297878 0 0.9999974 0 1 0 0 1 0 -0.002297878 0 0.9999974 0 1 0 0.6765946 -0.003286421 0.7363485 0 1 0 0 1 0 0 1 0 0 1 0 0.8374937 0 0.5464471 0 1 0 0.2451615 0.007518887 0.9694531 0 1 0 0.6754989 -0.007675468 0.737321 -0.2451277 0.01815366 0.9693208 0.2366164 -0.01837468 0.9714294 0 1 0 -0.6763236 0.02857273 0.7360503 0 1 0 0 1 0 0 1 0 -0.2607412 -0.02899229 0.9649733 0 1 0 0.002297878 0 0.9999974 -0.8554441 0 0.5178953 -0.848598 0.001412212 0.5290362 0.002297878 0 0.9999974 -0.6932548 -0.03899455 0.7196368 0 1 0 0.7071061 0 0.7071074 0 1 0 0.7071061 0 0.7071074 0 1 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.5000954 0 0.8659703 -0.500095 -1.43601e-4 0.8659706 -0.4999706 0 0.8660425 1 1.65962e-4 0 0.4999706 -1.44162e-4 0.8660424 0.500094 -1.44113e-4 -0.8659711 1 1.65962e-4 0 -0.5000935 0 -0.8659714 0.4999692 0 -0.8660432 -1 1.66986e-4 0 -0.4999691 -1.43641e-4 -0.8660432 -1 1.66986e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000943 0 -0.865971 0 1 0 0.5000938 -1.37686e-4 -0.8659713 0 1 0 0 1 0 0 1 0 0 1 0 0.4999745 0 -0.8660402 0 1 0 -1 1.65962e-4 0 0 1 0 0 1 0 -0.4999694 -1.44162e-4 -0.866043 0 1 0 -0.5000943 -1.44113e-4 0.865971 0 1 0 -1 1.65962e-4 0 0.5000938 0 0.8659713 0 1 0 0 1 0 -0.4999694 0 0.866043 1 1.78814e-4 0 0.4999744 -1.37726e-4 0.8660401 0 1 0 1 1.78814e-4 0 0 1 0 0.3090181 0 -0.9510562 0 1 0 -0.01326149 0 -0.9999121 -0.01326149 0 -0.9999121 0 1 0 0.58791 0 -0.8089263 0 1 0 0.3090181 0 -0.9510562 0 1 0 0.9510114 0 -0.309156 0 1 0 0.58791 0 -0.8089263 0 1 0 1 0 0 0 1 0 0 1 0 1 0 0 0.9510114 0 -0.309156 0.9730575 0 -0.2305626 0.7662218 0 -0.6425762 0.9730575 0 -0.2305626 0.6652876 0 -0.7465873 0.7662218 0 -0.6425762 0.7720916 -0.1824846 -0.6087478 -0.002292215 0 -0.9999974 0.8896437 -0.007552802 -0.4565928 0.8752181 -9.76501e-4 -0.4837275 0.8553315 0 -0.5180811 -0.002292215 0 -0.9999974 0.7681602 -0.1591151 -0.6201713 -0.7071037 0 -0.7071098 -0.7071037 0 -0.7071098 -1 0 0 0 1 0 0.7071067 0 -0.7071068 0.7071067 0 -0.7071068 0.002292215 0 -0.9999974 0.002292215 0 -0.9999974 -0.6951714 0.07205837 -0.7152233 -0.7542442 -0.1427081 -0.6408979 -0.869606 0 -0.4937462 -0.3244261 -0.0957657 -0.9410508 -0.3269006 0 -0.9450588 -0.3558201 0 -0.9345545 -0.6991632 0 -0.714962 -0.3269006 0 -0.9450588 -0.8386719 0 -0.5446371 -0.6991632 0 -0.714962 -0.6190006 0 -0.7853905 -0.8386719 0 -0.5446371 -0.6190006 0 -0.7853905 -0.8899617 -0.003061354 0.456025 0 1 0 -0.9069877 -0.008471488 0.421072 0.003549039 0.7066838 -0.7075206 0.001667439 0.7071026 -0.7071089 0 1 0 0 1 0 0 1 0 0.8554418 8.9734e-5 0.5178989 0 1 0 0.8899151 -0.01185423 0.4559721 0 1 0 0.8944028 -0.006663918 0.4472129 0 1 0 0.9091359 -0.002851128 0.4164898 -0.001665651 0.7070868 -0.7071249 -0.001667499 0.7070935 -0.7071182 0.9193412 0 0.3934615 -0.001669824 0.7071184 -0.7070933 -0.002361536 0 -0.9999972 -0.002361536 0 -0.9999972 0.9805906 0.01978838 0.1950655 0 1 0 0.9461337 -0.04840254 0.3201376 0 1 0 0 1 0 0 1 0 0.9805354 -0.01189976 -0.1959815 0 1 0 0.9841133 -0.02648228 -0.1755548 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9166402 0 -0.3997133 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.002269089 0.7075922 0.7066174 0.9188709 -2.43056e-4 -0.3945581 0 0.7070925 0.7071211 0 0.7070925 0.7071211 0.9099 6.96344e-5 -0.4148275 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9539716 -0.0451157 0.296484 0 -1 0 -0.8902041 0 0.4555616 -0.9149328 -0.01176828 0.4034346 0 -1 0 -0.9795337 -0.02150201 -0.2001278 0 -1 0 -0.9804398 -0.01838755 -0.1959587 -0.9806836 0.01427602 0.1950796 0 -1 0 0 -1 0 -0.855325 -0.004353404 -0.5180735 -0.8896578 4.69979e-4 -0.4566277 -0.9135549 -4.6691e-4 -0.4067154 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 -0.908789 -0.002836704 -0.4172463 -4.56959e-6 0.707076 0.7071376 0 1 0 0 0.7070925 0.707121 -0.9189623 0 -0.3943455 0 0.7071099 0.7071038 0 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.002361536 0 -0.9999973 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.002361536 0 -0.9999973 0.001669883 0.7070936 -0.7071181 0 1 0 -0.2799211 0.6784909 -0.6791864 0 1 0 -0.6785095 0.6785034 -0.2815278 -0.279926 0.6784953 -0.6791801 0 1 0 -0.7071068 0.7071068 0 0 1 0 -0.6785084 0.6785084 -0.2815187 0 1 0 -0.678598 0.678598 0.2810865 -0.7071068 0.7071068 0 0 1 0 -0.2810716 0.6785935 0.6786086 0 1 0 -0.6785966 0.6785989 0.2810875 -0.2810899 0.6785836 0.678611 0.5002158 0 0.8659008 0 1 0 -0.5002138 -4.37915e-5 0.865902 0 1 0 0 1 0 -0.499984 0 0.8660347 1 6.14671e-6 0 0.4999864 -4.37068e-5 0.8660332 0.500217 -4.3295e-5 -0.8659 1 6.14671e-6 0 0 1 0 -0.5002151 0 -0.8659013 0 1 0 0 1 0 0.4999898 0 -0.8660313 0 1 0 -1 5.96044e-6 0 -0.4999874 -4.33933e-5 -0.8660327 -1 5.96044e-6 0 0.5002173 0 0.8659 0 1 0 -0.5002152 -4.34286e-5 0.8659011 -0.4999874 0 0.8660327 1 6.14671e-6 0 0.4999898 -4.33438e-5 0.8660313 0.5002173 -3.82347e-5 -0.8658999 1 6.14671e-6 0 0 1 0 -0.5002153 0 -0.8659011 0.5000166 0 -0.8660159 0 1 0 -1 5.96044e-6 0 0 1 0 -0.5000142 -3.83354e-5 -0.8660172 -1 5.96044e-6 0 0.5002173 0 0.8658999 0 1 0 -0.5002153 -3.83279e-5 0.8659011 -0.5000142 0 0.8660172 1 6.14671e-6 0 0.5000166 -3.82414e-5 0.8660159 0.5002173 -4.33353e-5 -0.8659 1 6.14671e-6 0 0 1 0 -0.5002152 0 -0.8659011 0 1 0 0.4999898 0 -0.8660313 0 1 0 -1 5.96044e-6 0 0 1 0 -0.4999874 -4.34346e-5 -0.8660327 -1 5.96044e-6 0 0.500217 0 0.8659 0 1 0 -0.5002151 -4.33883e-5 0.8659013 -0.4999874 0 0.8660327 1 6.14671e-6 0 0.4999898 -4.33034e-5 0.8660313 0.5002158 -4.36983e-5 -0.8659008 1 6.14671e-6 0 0 1 0 -0.5002138 0 -0.865902 0.4999864 0 -0.8660332 0 1 0 -1 5.96044e-6 0 0 1 0 -0.499984 -4.37999e-5 -0.8660347 -1 5.96044e-6 0 -1 0 0 -0.9238779 0 0.3826876 -0.9238779 0 0.3826876 -0.9236525 0 -0.3832311 -1 0 0 -0.3810566 0 -0.9245517 -0.9236525 0 -0.3832311 -0.3810566 0 -0.9245517 -0.3826835 0 0.9238795 -0.3826835 0 0.9238795 0.2850149 0.821616 -0.4936737 -0.2850131 0.8216165 -0.4936739 0.5700324 0.8216223 0 0.2850055 0.8216263 0.493662 -0.2850039 0.8216267 0.4936622 -0.5700299 0.8216239 0 0.2850261 0.8216215 -0.4936579 -0.2850245 0.8216221 -0.4936582 0.5700324 0.8216223 0 0.2850143 0.8216168 0.4936727 -0.2850126 0.8216172 0.4936729 -0.5700299 0.8216239 0 0.2850143 0.8216168 -0.4936727 -0.2850126 0.8216172 -0.4936729 0.5700324 0.8216223 0 0.2850261 0.8216216 0.4936579 -0.2850245 0.8216221 0.4936582 -0.5700299 0.8216239 0 0.2850055 0.8216263 -0.493662 -0.2850039 0.8216267 -0.4936622 0.5700324 0.8216223 0 0.2850148 0.821616 0.4936736 -0.2850131 0.8216165 0.4936739 -0.5700299 0.8216239 0 0 1 0 0.2810815 0.6785853 0.6786127 0 1 0 0.6786122 0.6785814 0.2810923 0.2810858 0.6785891 0.678607 0 1 0 0.7071208 0.7070927 0 0 1 0 0.6786114 0.6785845 0.2810864 0 1 0 0.6785234 0.6784965 -0.281511 0.7071208 0.7070927 0 0 1 0 0.2799195 0.6784949 -0.6791831 0 1 0 0.6785117 0.6785045 -0.2815201 0.2799137 0.6784981 -0.6791824 0.3826807 0 0.9238807 0.3826807 0 0.9238807 0.3810412 0 -0.9245581 0 1 0 0.9236525 0 -0.3832311 0.3810412 0 -0.9245581 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9236525 0 -0.3832311 0.9238812 0 0.3826792 0 1 0 1 0 0 0.9238812 0 0.3826792 0.5002319 0 0.8658915 -0.5002162 -4.37914e-5 0.8659005 -0.4999864 0 0.8660332 1 5.96044e-6 0 0.500002 -4.37994e-5 0.8660243 0.5002332 -4.33876e-5 -0.8658908 1 5.96044e-6 0 0 1 0 -0.5002174 0 -0.8658998 0 1 0 0.5000054 0 -0.8660223 -1 5.96044e-6 0 -0.4999898 -4.34004e-5 -0.8660313 -1 5.96044e-6 0 0.5002334 0 0.8658906 -0.5002177 -4.34285e-5 0.8658996 -0.4999898 0 0.8660313 1 5.96044e-6 0 0.5000054 -4.34363e-5 0.8660223 0.5002334 -3.83273e-5 -0.8658906 1 5.96044e-6 0 -0.5002177 0 -0.8658996 0 1 0 0.5000323 0 -0.8660068 -1 5.96044e-6 0 -0.5000166 -3.83355e-5 -0.8660159 -1 5.96044e-6 0 0.5002334 0 0.8658906 -0.5002177 -3.83278e-5 0.8658996 -0.5000166 0 0.8660159 1 5.96044e-6 0 0.5000323 -3.8334e-5 0.8660068 0.5002334 -4.34279e-5 -0.8658906 1 5.96044e-6 0 0 1 0 -0.5002177 0 -0.8658996 0.5000054 0 -0.8660223 -1 5.96044e-6 0 -0.4999898 -4.34349e-5 -0.8660313 -1 5.96044e-6 0 0.5002332 0 0.8658908 -0.5002174 -4.33882e-5 0.8658998 -0.4999898 0 0.8660313 1 5.96044e-6 0 0.5000054 -4.3396e-5 0.8660223 0.5002319 -4.37908e-5 -0.8658915 1 5.96044e-6 0 -0.5002162 0 -0.8659005 0.500002 0 -0.8660243 -1 5.96044e-6 0 -0.4999864 -4.38001e-5 -0.8660332 -1 5.96044e-6 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2850258 0.8216133 -0.493672 -0.2850149 0.821616 -0.4936737 0.5700485 0.8216111 0 0.2850164 0.8216234 0.4936603 -0.2850055 0.8216263 0.493662 -0.5700324 0.8216223 0 0.2850371 0.8216189 -0.4936562 -0.2850261 0.8216215 -0.4936579 0.5700485 0.8216111 0 0.2850252 0.8216141 0.493671 -0.2850143 0.8216168 0.4936727 -0.5700324 0.8216223 0 0.2850252 0.8216141 -0.493671 -0.2850143 0.8216168 -0.4936727 0.5700485 0.8216111 0 0.2850371 0.8216188 0.4936562 -0.2850261 0.8216215 0.4936579 -0.5700324 0.8216223 0 0.2850164 0.8216234 -0.4936603 -0.2850056 0.8216263 -0.493662 0.5700485 0.8216111 0 0.2850258 0.8216133 0.493672 -0.2850149 0.821616 0.4936737 -0.5700324 0.8216223 0 -1 0 0 0 -0.5002334 0.8658906 -2.70678e-4 0.5002335 0.8658905 0 0.5000026 0.866024 -1 0 0 3.00347e-5 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.70519e-4 -0.5000026 0.8660239 -1 0 0 -2.70446e-4 -0.5002291 -0.865893 -1 0 0 -1 0 0 3.00347e-5 -1 0 0 0.5002294 -0.865893 0 -0.4999985 -0.8660264 -1 0 0 2.9569e-5 1 0 -1 0 0 -1 0 0 -1 0 0 -2.70743e-4 0.4999984 -0.8660263 -1 0 0 2.9569e-5 1 0 0 0.3825617 0.9239299 0 -0.3825616 0.92393 0 -0.3825616 0.92393 0 0.923833 0.382796 0 0.3825617 0.9239299 0 0.923833 -0.382796 0 0.923833 0.382796 0 0.3825742 -0.9239249 0 0.923833 -0.382796 0 -0.382574 -0.9239248 0 0.3825742 -0.9239249 0 -0.9238057 -0.3828616 0 -0.382574 -0.9239248 0 -0.9238057 0.3828616 0 -0.9238057 -0.3828616 0 -0.9238057 0.3828616 -1 0 0 0 0.3825721 0.9239256 -1 0 0 0 -0.3825725 0.9239255 -1 0 0 0 -0.3825725 0.9239255 -1 0 0 0 0.9238309 0.3828008 0 0.3825721 0.9239256 -1 0 0 0 0.9238324 -0.3827973 0 0.9238309 0.3828008 -1 0 0 0 0.3826428 -0.9238964 0 0.9238324 -0.3827973 -1 0 0 0 -0.3826432 -0.9238962 -1 0 0 0 0.3826428 -0.9238964 -1 0 0 0 -0.9238078 -0.3828565 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.3826432 -0.9238962 -1 0 0 0 -0.9238064 0.38286 -1 0 0 0 -0.9238078 -0.3828565 0 -0.9238064 0.38286 -1 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 -1 0 -1 0 -1 0 0 0 0.499988 -0.8660323 -1 0 0 0 0 -1 -1 0 0 -1.49011e-5 1 0 -1 0 0 -1 0 0 -1 0 0 1.73991e-4 0.5002291 -0.8658931 1.61117e-4 0.5000064 0.8660216 -1 0 0 -1.49011e-5 1 0 0 0.5002296 0.8658928 0 0.3825738 0.9239249 0 -0.3825738 0.9239249 0 -0.3825738 0.9239249 0 0.9238039 0.382866 0 0.3825738 0.9239249 0 0.9238039 -0.382866 0 0.9238039 0.382866 0 0.3825738 -0.9239249 0 0.9238039 -0.382866 0 -0.3825738 -0.9239249 0 0.3825738 -0.9239249 0 -0.9238314 -0.3827996 0 -0.3825738 -0.9239249 0 -0.9238314 0.3827996 0 -0.9238314 -0.3827996 0 -0.9238314 0.3827996 -1 0 0 0 -1 0 -1 0 0 -1 0 0 1.36534e-4 -0.923877 0.3826894 -1 0 0 -1 0 0 0 -1 0 0 -0.9237678 0.3829532 0 0 -1 -1 0 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 0 0 1 0 1 0 0 0 1 -1 0 0 0 -0.3826884 0.9238774 -1 0 0 -1 0 0 -1 0 0 1.37117e-4 -0.3829533 0.9237678 0 0.3826262 0.9239033 0 -0.3826266 0.9239031 0 -0.3826266 0.9239031 0 0.923833 0.3827956 0 0.3826262 0.9239033 0 0.9238324 -0.3827973 0 0.923833 0.3827956 0 0.3825721 -0.9239256 0 0.9238324 -0.3827973 0 -0.3825725 -0.9239255 0 0.3825721 -0.9239256 0 -0.9238078 -0.3828565 0 -0.3825725 -0.9239255 0 -0.9238085 0.3828548 0 -0.9238078 -0.3828565 0 -0.9238085 0.3828548 -1 0 0 0 0.3825738 0.9239249 -1 0 0 0 -0.3825738 0.9239249 0 -0.3825738 0.9239249 -1 0 0 0 0.9238041 0.3828656 -1 0 0 0 0.3825738 0.9239249 -1 0 0 0 0.9238021 -0.3828703 -1 0 0 -1 0 0 0 0.9238041 0.3828656 -1 0 0 0 0.3825738 -0.9239249 0 0.9238021 -0.3828703 -1 0 0 0 -0.3825738 -0.9239249 -1 0 0 -1 0 0 0 0.3825738 -0.9239249 -1 0 0 0 -0.9238296 -0.3828039 0 -0.3825738 -0.9239249 -1 0 0 0 -0.9238317 0.3827992 -1 0 0 -1 0 0 0 -0.9238296 -0.3828039 0 -0.9238317 0.3827992 -1 0 0 0 0.3826386 0.9238981 0 -0.3826385 0.9238981 -1 0 0 0 -0.3826385 0.9238981 -1 0 0 0 0.9238333 0.3827951 -1 0 0 0 0.3826386 0.9238981 -1 0 0 0 0.9238218 -0.3828226 -1 0 0 0 0.9238333 0.3827951 -1 0 0 0 0.3826386 -0.9238981 -1 0 0 0 0.9238218 -0.3828226 -1 0 0 0 -0.3826385 -0.9238981 -1 0 0 -1 0 0 0 0.3826386 -0.9238981 0 -0.9237946 -0.3828883 0 -0.3826385 -0.9238981 0 -0.9238061 0.3828608 0 -0.9237946 -0.3828883 0 -0.9238061 0.3828608 -1 0 0 0 0.3826352 0.9238995 0 -0.3826404 0.9238975 -1 0 0 0 -0.3826404 0.9238975 -1 0 0 0 0.923837 0.3827863 -1 0 0 0 0.3826352 0.9238995 -1 0 0 0 0.9238255 -0.3828138 0 0.923837 0.3827863 -1 0 0 0 0.3826352 -0.9238995 0 0.9238255 -0.3828138 0 -0.3826404 -0.9238975 0 0.3826352 -0.9238995 0 -0.9237928 -0.3828927 0 -0.3826404 -0.9238975 0 -0.9238043 0.3828652 0 -0.9237928 -0.3828927 0 -0.9238043 0.3828652 0 0.3825582 0.9239314 0 -0.3825634 0.9239292 0 -0.3825634 0.9239292 0 0.9238366 0.3827871 0 0.3825582 0.9239314 -1 0 0 0 0.9238366 -0.3827871 0 0.9238366 0.3827871 -1 0 0 0 0.3825708 -0.9239262 0 0.9238366 -0.3827871 -1 0 0 0 -0.3825759 -0.923924 -1 0 0 0 0.3825708 -0.9239262 -1 0 0 0 -0.9238039 -0.382866 0 -0.3825759 -0.923924 -1 0 0 0 -0.9238039 0.382866 -1 0 0 0 -0.9238039 -0.382866 0 -0.9238039 0.382866 0 1 0 0 0 -1 0 0 -1 0 0 1 0 1 0 0 -1 0 0 0 1 0 0 1 0 0 -1 0 -1 0 0 1 0 0 0 -1 0 1 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 0 -0.3827533 -0.9238506 -1 0 0 0 -0.3827533 -0.9238506 0 0 -1 1 0 0 0 0 -1 0 0 -1 1 0 0 0 0.3827465 -0.9238534 0 0.3827465 -0.9238534 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3827449 0.9238541 0 0.3827449 0.9238541 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3827516 0.9238513 1 0 0 0 -0.3827516 0.9238513 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -0.9021524 -0.2155678 -0.3736999 -1 0 0 -0.9022931 0.2154179 -0.3734465 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9021152 0.21575 -0.3736845 -1 0 0 -0.9018476 -0.4320544 -2.14983e-7 -0.9023296 -0.2155281 -0.3732945 -1 0 0 -0.902292 -0.2154209 0.3734474 -0.9018478 -0.4320539 0 -1 0 0 -0.9021534 0.2155631 0.3737001 -1 0 0 -1 0 0 -0.9021151 -0.2157513 0.3736842 -1 0 0 -0.9018509 0.4320473 0 -1 0 0 -0.9023304 0.2155235 0.3732954 -1 0 0 -0.9018509 0.4320473 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3825946 0.9239163 -1 0 0 0 -0.3825711 0.9239261 -1 0 0 -1 0 0 -1 0 0 0 -0.3825711 0.9239261 -1 0 0 0 0.9238076 0.382857 0 0.3825946 0.9239163 -1 0 0 0 0.9237965 -0.3828839 -1 0 0 0 0.9238076 0.382857 -1 0 0 0 0.3825986 -0.9239146 0 0.9237965 -0.3828839 -1 0 0 0 -0.3825751 -0.9239244 -1 0 0 0 0.3825986 -0.9239146 -1 0 0 0 -0.9238233 -0.382819 -1 0 0 0 -0.3825751 -0.9239244 -1 0 0 0 -0.9238345 0.3827921 -1 0 0 0 -0.9238233 -0.382819 0 -0.9238345 0.3827921 -1 0 0 0 0.3825946 0.9239163 -1 0 0 0 -0.3825711 0.9239261 -1 0 0 -1 0 0 0 -0.3825711 0.9239261 -1 0 0 0 0.9238076 0.382857 0 0.3825946 0.9239163 -1 0 0 0 0.9238076 -0.382857 -1 0 0 0 0.9238076 0.382857 -1 0 0 0 0.3825986 -0.9239146 0 0.9238076 -0.382857 -1 0 0 0 -0.3825751 -0.9239244 0 0.3825986 -0.9239146 0 -0.9238345 -0.3827921 0 -0.3825751 -0.9239244 0 -0.9238345 0.3827921 0 -0.9238345 -0.3827921 0 -0.9238345 0.3827921 0 0.3825996 0.9239143 -1 0 0 0 -0.3825677 0.9239275 0 -0.3825677 0.9239275 0 0.9238328 0.3827962 0 0.3825996 0.9239143 0 0.9238216 -0.3828231 0 0.9238328 0.3827962 0 0.3826037 -0.9239126 0 0.9238216 -0.3828231 -1 0 0 0 -0.3825718 -0.9239258 -1 0 0 -1 0 0 0 0.3826037 -0.9239126 -1 0 0 0 -0.9238216 -0.3828231 0 -0.3825718 -0.9239258 -1 0 0 0 -0.9238328 0.3827962 -1 0 0 0 -0.9238216 -0.3828231 0 -0.9238328 0.3827962 0 0.3825996 0.9239143 -1 0 0 0 -0.3825677 0.9239275 0 -0.3825677 0.9239275 0 0.9238328 0.3827962 0 0.3825996 0.9239143 0 0.9238328 -0.3827962 0 0.9238328 0.3827962 0 0.3826037 -0.9239126 0 0.9238328 -0.3827962 -1 0 0 0 -0.3825718 -0.9239258 -1 0 0 0 0.3826037 -0.9239126 -1 0 0 0 -0.9238328 -0.3827962 0 -0.3825718 -0.9239258 -1 0 0 0 -0.9238328 0.3827962 -1 0 0 -1 0 0 0 -0.9238328 -0.3827962 0 -0.9238328 0.3827962 0 0.9238539 -0.3827453 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.9238539 -0.3827453 0 0.9238539 0.3827453 0 1 0 0 0.9238539 0.3827453 0 -0.9238482 0.382759 -1 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9238482 0.382759 0 -0.9238482 -0.382759 0 -1 0 0 -0.9238482 -0.382759 -1 0 0 0 0.5000013 0.8660246 -2.71563e-4 -0.5000001 0.8660253 -1 0 0 0 -0.5002171 0.8659 -1 0 0 4.00466e-5 1 0 -1 0 0 -2.71349e-4 0.5002183 0.8658994 -1 0 0 -2.71408e-4 0.4999992 -0.8660258 -1 0 0 4.00466e-5 1 0 0 -0.499998 -0.8660266 0 0.5002161 -0.8659006 3.97362e-5 -1 0 -2.71513e-4 -0.5002151 -0.8659012 3.97362e-5 -1 0 0 0.4999988 0.8660262 -2.72101e-4 -0.4999976 0.8660269 0 -0.5002151 0.8659012 4.00466e-5 1 0 -2.71909e-4 0.5002161 0.8659006 -2.71408e-4 0.4999987 -0.8660261 4.00466e-5 1 0 0 -0.4999976 -0.8660269 0 0.5002157 -0.8659009 3.97362e-5 -1 0 -2.71513e-4 -0.5002145 -0.8659014 3.97362e-5 -1 0 0 0.5000098 0.8660198 -2.71563e-4 -0.5000013 0.8660246 0 -0.5002184 0.8658993 6.0846e-5 1 0 -2.6095e-4 0.5002183 0.8658992 -1 0 0 -2.61006e-4 0.5000076 -0.8660209 6.0846e-5 1 0 0 -0.4999992 -0.8660259 0 0.5002163 -0.8659006 3.97362e-5 -1 0 -2.71512e-4 -0.5002163 -0.8659005 3.97362e-5 -1 0 0 0.5000072 0.8660212 -2.72101e-4 -0.4999987 0.8660261 0 -0.5002163 0.8659006 6.0846e-5 1 0 -2.61463e-4 0.5002163 0.8659006 -2.61006e-4 0.5000072 -0.8660212 6.0846e-5 1 0 0 -0.4999988 -0.8660262 0 0.5002158 -0.8659008 3.97362e-5 -1 0 -2.71512e-4 -0.5002158 -0.8659007 3.97362e-5 -1 0 -0.3376606 0.4706364 0.8151606 -0.3376601 -0.4706365 0.8151607 -0.3376601 0.4706361 0.8151608 -0.3376666 0.4706314 -0.8151609 -0.3376438 -0.4706355 -0.815168 -0.337664 -0.4706439 -0.8151547 -0.337653 0.9412707 0 -0.3376555 0.47064 -0.8151606 -0.337653 0.9412707 0 -0.3376323 -0.9412782 0 -0.3376514 -0.4706432 0.8151605 -0.3376323 -0.9412781 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.4999588 0.8660492 1 0 0 2.99831e-5 0.4999613 0.8660478 0 0.50001 0.8660196 -1.76329e-4 -1 0 3.01269e-5 -0.5000077 0.8660209 3.33666e-5 -0.4999536 -0.8660523 -1.76329e-4 -1 0 1 0 0 0 0.4999561 -0.8660508 1 0 0 1 0 0 1 0 0 0 -0.5000077 -0.8660209 1 0 0 -1.7664e-4 1 0 1 0 0 3.31824e-5 0.50001 -0.8660196 1 0 0 -1.7664e-4 1 0 0 -0.4999588 0.8660492 1.60027e-5 0.4999613 0.8660478 0 0.4999873 0.8660327 -1.76329e-4 -1 0 1.61532e-5 -0.499985 0.866034 3.28275e-5 -0.4999588 -0.8660492 -1.76329e-4 -1 0 1 0 0 0 0.4999613 -0.8660478 1 0 0 0 -0.5000121 -0.8660184 -1.7664e-4 1 0 3.26612e-5 0.5000144 -0.8660172 -1.7664e-4 1 0 0 -0.4999588 0.8660492 1.83379e-5 0.499978 0.8660382 0 0.5000077 0.8660209 -1.97439e-4 -1 0 1.95865e-5 -0.4999906 0.8660309 2.28126e-5 -0.4999536 -0.8660523 -1.97439e-4 -1 0 0 0.4999727 -0.8660411 0 -0.4999906 -0.8660309 -1.99923e-4 1 0 2.15767e-5 0.5000077 -0.8660209 -1.99923e-4 1 0 0 -0.4999588 0.8660492 4.35764e-6 0.499978 0.8660382 0 0.499985 0.866034 -1.97439e-4 -1 0 5.61316e-6 -0.4999678 0.8660439 2.22735e-5 -0.4999588 -0.8660492 -1.97439e-4 -0.9999999 0 0 0.499978 -0.8660382 0 -0.4999949 -0.8660283 -1.99923e-4 1 0 2.10082e-5 0.5000121 -0.8660184 -1.99922e-4 0.9999999 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0.7071068 0.7071068 0 0 0 1 0 1 0 0 0 1 0.7071068 0.7071068 0 0 0 1 1 0 0 0 0 1 0 0 1 1 0 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 -1 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 -1 0 0 0 0 1 0 0 1 -1 0 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 0 0 1 0 0 1 0 1 0 -0.9897997 0.1424664 0 -0.5992083 0.8005931 1.45366e-4 -0.5991719 0.8006206 0 -0.8006296 -0.5991595 -2.69191e-4 -0.9898067 0.1424172 1.5853e-4 -0.142396 -0.9898098 -1.2683e-4 -0.8006041 -0.5991936 -1.33443e-4 0.5992083 -0.8005931 1.45366e-4 -0.142448 -0.9898022 -2.94304e-4 0.9897997 -0.1424664 0 0.5991719 -0.8006206 0 0.8006296 0.5991595 -2.69191e-4 0.9898067 -0.1424172 1.58504e-4 0.142396 0.9898098 -1.2683e-4 0.8006041 0.5991936 -1.33443e-4 0.142448 0.9898022 -2.94304e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9898194 0.142329 0 -0.5990962 0.800677 6.50508e-5 -0.5989717 0.8007702 0 -0.8005542 -0.5992604 -3.79582e-5 -0.9898416 0.1421743 6.53337e-5 -0.1425264 -0.989791 2.91999e-5 -0.8004621 -0.5993832 2.61958e-5 0.5990962 -0.800677 6.50508e-5 -0.1426878 -0.9897677 -3.8947e-5 0.9898194 -0.142329 0 0.5989717 -0.8007702 0 0.8005542 0.5992604 -3.79582e-5 0.9898416 -0.1421743 6.53348e-5 0.1425264 0.989791 2.91999e-5 0.8004621 0.5993832 2.61958e-5 0.1426878 0.9897677 -3.8947e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 -0.4999764 0.866039 1 0 0 0 0.4999681 0.8660438 0 0.4999681 0.8660438 1 0 0 0 -1 0 1 0 0 0 -0.4999764 0.866039 1 0 0 0 -0.4999764 -0.866039 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.4999681 -0.8660438 0 -0.4999764 -0.866039 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 0 0.4999681 -0.8660438 1 0 0 1 0 0 0 1 0 1 0 0 0 -0.5000934 0.8659715 1 0 0 0 0.5000926 0.865972 1 0 0 0 0.5000926 0.865972 1 0 0 0 -1 0 0 -0.5000934 0.8659715 1 0 0 0 -0.5000912 -0.8659727 1 0 0 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.5000903 -0.8659732 1 0 0 0 -0.5000912 -0.8659727 1 0 0 0 1 0 1 0 0 1 0 0 0 0.5000903 -0.8659732 1 0 0 1 0 0 0 1 0 1 0 0 0 -0.5000903 0.8659732 1 0 0 0 0.5000912 0.8659727 1 0 0 1 0 0 1 0 0 0 0.5000912 0.8659727 1 0 0 0 -1 0 0 -0.5000903 0.8659732 1 0 0 0 -0.5000926 -0.865972 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.5000934 -0.8659715 1 0 0 0 -0.5000926 -0.865972 1 0 0 0 1 0 0 0.5000934 -0.8659715 1 0 0 0 1 0 1 0 0 0 -0.5000926 0.865972 1 0 0 0 0.5000934 0.8659715 1 0 0 0 0.5000934 0.8659715 1 0 0 0 -1 0 0 -0.5000926 0.865972 1 0 0 0 -0.5000903 -0.8659732 1 0 0 1 0 0 0 -1 0 1 0 0 0 0.5000912 -0.8659727 1 0 0 0 -0.5000903 -0.8659732 1 0 0 0 1 0 0 0.5000912 -0.8659727 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 -0.4999945 0.8660286 1 0 0 2.37462e-4 0.4999824 0.8660355 0 0.5002215 0.8658975 1 0 0 -4.76826e-5 -1 0 2.25504e-4 -0.5002214 0.8658975 1 0 0 2.04565e-4 -0.500014 -0.8660174 1 0 0 1 0 0 -4.76826e-5 -1 0 1 0 0 0 0.5000019 -0.8660243 1 0 0 0 -0.5002198 -0.8658984 1 0 0 -2.38413e-5 1 0 1 0 0 2.16454e-4 0.5002198 -0.8658984 1 0 0 1 0 0 -2.38413e-5 1 0 0 -0.5000154 0.8660165 2.14955e-4 0.5000035 0.8660234 0 0.5002198 0.8658985 1 0 0 -4.76826e-5 -1 0 2.03005e-4 -0.5002198 0.8658984 1 0 0 2.03032e-4 -0.5000154 -0.8660165 1 0 0 1 0 0 -4.76826e-5 -1 0 1 0 0 0 0.5000035 -0.8660235 1 0 0 0 -0.5002198 -0.8658985 1 0 0 -2.38413e-5 1 0 1 0 0 2.14931e-4 0.5002198 -0.8658984 -2.38413e-5 1 0 0 -0.500014 0.8660174 2.16488e-4 0.5000019 0.8660243 0 0.5002198 0.8658984 1 0 0 -4.76826e-5 -1 0 2.04527e-4 -0.5002198 0.8658984 1 0 0 2.25539e-4 -0.4999945 -0.8660286 1 0 0 1 0 0 -4.76826e-5 -1 0 1 0 0 0 0.4999824 -0.8660355 0 -0.5002215 -0.8658975 1 0 0 -2.38413e-5 1 0 2.37431e-4 0.5002214 -0.8658975 -2.38413e-5 1 0 1 0 0 0 -1 0 1 0 0 0 -0.9238717 0.3827024 0 -0.9238717 0.3827024 0 -0.9238717 -0.3827024 1 0 0 0 -1 0 0 -0.3827061 -0.9238702 0 -0.9238717 -0.3827024 0 0 -1 1 0 0 1 0 0 1 0 0 0 -0.3827061 -0.9238702 1 0 0 0 0.3827061 -0.9238702 1 0 0 1 0 0 1 0 0 0 0 -1 1 0 0 0 0.923869 -0.382709 1 0 0 1 0 0 0 0.3827061 -0.9238702 1 0 0 0 1 0 1 0 0 0 0.923869 -0.382709 1 0 0 0 0.923869 0.382709 1 0 0 0 1 0 1 0 0 0 0.3827061 0.9238702 1 0 0 1 0 0 1 0 0 1 0 0 0 0.923869 0.382709 0 0 1 1 0 0 1 0 0 1 0 0 0 0.3827061 0.9238702 0 -0.3827061 0.9238702 0 0 1 0 -0.3827061 0.9238702 0 0 1 0 -0.3827432 0.9238548 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3827432 0.9238548 0 0.3827098 0.9238686 0 0 1 1 0 0 0 0.9238688 0.3827092 1 0 0 0 0.3827098 0.9238686 0 1 0 0 0.9238688 0.3827092 0 0.9238688 -0.3827092 0 1 0 0 0.3827098 -0.9238686 0 0.9238688 -0.3827092 1 0 0 0 0 -1 1 0 0 1 0 0 1 0 0 0 0.3827098 -0.9238686 1 0 0 0 -0.3827432 -0.9238548 1 0 0 1 0 0 0 0 -1 1 0 0 0 -0.9238576 -0.3827363 1 0 0 1 0 0 1 0 0 0 -0.3827432 -0.9238548 0 -1 0 0 -0.9238576 -0.3827363 1 0 0 0 -0.9238478 -0.3827598 1 0 0 0 -1 0 1 0 0 0 -0.3827601 -0.9238477 1 0 0 0 -0.9238478 -0.3827598 0 0 -1 0 -0.3827601 -0.9238477 0 -1 0 0 0 -1 0 0 1 0 -1 0 0 -0.3827601 0.9238477 0 0 1 0 -0.9238478 0.3827598 0 -0.3827601 0.9238477 0 -1 0 0 -0.9238478 0.3827598 0 -0.9238576 0.3827363 0 -1 0 0 -0.9238576 0.3827363 0 -0.3829409 0.9237729 0 0.3829413 0.9237727 0 0.3829413 0.9237727 0 -0.923978 0.3824456 0 -0.3829409 0.9237729 0 -0.9239783 -0.382445 0 -0.923978 0.3824456 0 -0.3830024 -0.9237474 0 -0.9239783 -0.382445 0 0.3830026 -0.9237472 0 -0.3830024 -0.9237474 0 0.9239556 -0.3824994 0 0.3830026 -0.9237472 0 0.9239555 0.3825001 0 0.9239556 -0.3824994 0 0.9239555 0.3825001 0 -0.3830024 0.9237474 0 0.3830026 0.9237472 0 0.3830026 0.9237472 0 -0.9239783 0.382445 0 -0.3830024 0.9237474 0 -0.923978 -0.3824456 0 -0.9239783 0.382445 0 -0.3829409 -0.9237729 0 -0.923978 -0.3824456 0 0.3829413 -0.9237727 0 -0.3829409 -0.9237729 0 0.9239555 -0.3825001 0 0.3829413 -0.9237727 0 0.9239556 0.3824994 0 0.9239555 -0.3825001 0 0.9239556 0.3824994 0 -0.382943 0.923772 0 0.3829175 0.9237825 0 0.3829175 0.9237825 0 -0.9239758 0.3824511 0 -0.382943 0.923772 0 -0.923976 -0.3824504 0 -0.9239758 0.3824511 0 -0.3830045 -0.9237465 0 -0.923976 -0.3824504 0 0.382979 -0.9237571 0 -0.3830045 -0.9237465 0 0.9239794 -0.3824421 0 0.382979 -0.9237571 0 0.9239792 0.3824427 0 0.9239794 -0.3824421 0 0.9239792 0.3824427 0 -0.3830045 0.9237465 0 0.382979 0.9237571 0 0.382979 0.9237571 0 -0.923976 0.3824504 0 -0.3830045 0.9237465 0 -0.9239758 -0.3824511 0 -0.923976 0.3824504 0 -0.382943 -0.923772 0 -0.9239758 -0.3824511 0 0.3829175 -0.9237825 0 -0.382943 -0.923772 0 0.9239792 -0.3824427 0 0.3829175 -0.9237825 0 0.9239794 0.3824421 0 0.9239792 -0.3824427 0 0.9239794 0.3824421 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.5000981 0.8659688 -1 0 0 1.57831e-4 -0.5000981 0.8659688 -1 0 0 0 -0.4999655 0.8660454 -1 0 0 -1.62984e-4 1 0 1.65312e-4 0.4999592 0.8660489 -1 0 0 1.50766e-4 0.5000974 -0.8659692 -1 0 0 -1 0 0 -1.62984e-4 1 0 -1 0 0 0 -0.5000974 -0.8659692 -1 0 0 0 0.4999707 -0.8660423 -1 0 0 -1.77885e-4 -1 0 -1 0 0 1.43354e-4 -0.4999769 -0.8660386 -1 0 0 -1.77885e-4 -1 0 0 0.5000973 0.8659692 1.43314e-4 -0.5000973 0.8659692 0 -0.4999769 0.8660387 -1 0 0 -1.62984e-4 1 0 1.50784e-4 0.4999706 0.8660423 -1 0 0 1.50766e-4 0.5000973 -0.8659692 -1 0 0 -1 0 0 -1.62984e-4 1 0 -1 0 0 0 -0.5000973 -0.8659692 -1 0 0 0 0.4999707 -0.8660424 -1 0 0 -1.77885e-4 -1 0 -1 0 0 1.43354e-4 -0.4999769 -0.8660387 -1.77885e-4 -1 0 0 0.5000974 0.8659692 1.43314e-4 -0.5000974 0.8659692 0 -0.499977 0.8660387 -1 0 0 -1.62984e-4 1 0 1.50811e-4 0.4999707 0.8660423 -1 0 0 1.65283e-4 0.5000981 -0.8659688 -1 0 0 -1.62984e-4 1 0 -1 0 0 0 -0.5000981 -0.8659688 -1 0 0 0 0.4999592 -0.8660489 -1 0 0 -1.77885e-4 -1 0 1.57877e-4 -0.4999655 -0.8660453 -1.77885e-4 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 -0.4999764 -0.866039 -1 0 0 0 0.4999681 -0.8660438 0 0.4999681 -0.8660438 -1 0 0 0 -1 0 -1 0 0 0 -0.4999764 -0.866039 -1 0 0 0 -0.4999764 0.866039 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 0.4999681 0.8660438 0 -0.4999764 0.866039 -1 0 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 0 0.4999681 0.8660438 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 -0.5000934 -0.8659715 -1 0 0 0 0.5000926 -0.865972 -1 0 0 0 0.5000926 -0.865972 -1 0 0 0 -1 0 0 -0.5000934 -0.8659715 -1 0 0 0 -0.5000912 0.8659727 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 0.5000903 0.8659732 -1 0 0 0 -0.5000912 0.8659727 -1 0 0 0 1 0 -1 0 0 -1 0 0 0 0.5000903 0.8659732 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 -0.5000903 -0.8659732 -1 0 0 0 0.5000912 -0.8659727 -1 0 0 -1 0 0 -1 0 0 0 0.5000912 -0.8659727 -1 0 0 0 -1 0 0 -0.5000903 -0.8659732 -1 0 0 0 -0.5000926 0.865972 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 0.5000934 0.8659715 -1 0 0 0 -0.5000926 0.865972 -1 0 0 0 1 0 0 0.5000934 0.8659715 -1 0 0 0 1 0 -1 0 0 0 -0.5000926 -0.865972 -1 0 0 0 0.5000934 -0.8659715 -1 0 0 0 0.5000934 -0.8659715 -1 0 0 0 -1 0 0 -0.5000926 -0.865972 -1 0 0 0 -0.5000903 0.8659732 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 0.5000912 0.8659727 -1 0 0 0 -0.5000903 0.8659732 -1 0 0 0 1 0 0 0.5000912 0.8659727 -1 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 -0.4999945 -0.8660286 -1 0 0 -2.37462e-4 0.4999824 -0.8660355 0 0.5002215 -0.8658975 -1 0 0 4.76826e-5 -1 0 -2.25504e-4 -0.5002214 -0.8658975 -1 0 0 -2.04565e-4 -0.500014 0.8660174 -1 0 0 -1 0 0 4.76826e-5 -1 0 -1 0 0 0 0.5000019 0.8660243 -1 0 0 0 -0.5002198 0.8658984 -1 0 0 2.38413e-5 1 0 -1 0 0 -2.16454e-4 0.5002198 0.8658984 -1 0 0 -1 0 0 2.38413e-5 1 0 0 -0.5000154 -0.8660165 -2.14955e-4 0.5000035 -0.8660234 0 0.5002198 -0.8658985 -1 0 0 4.76826e-5 -1 0 -2.03005e-4 -0.5002198 -0.8658984 -1 0 0 -2.03032e-4 -0.5000154 0.8660165 -1 0 0 -1 0 0 4.76826e-5 -1 0 -1 0 0 0 0.5000035 0.8660235 -1 0 0 0 -0.5002198 0.8658985 -1 0 0 2.38413e-5 1 0 -1 0 0 -2.14931e-4 0.5002198 0.8658984 2.38413e-5 1 0 0 -0.500014 -0.8660174 -2.16488e-4 0.5000019 -0.8660243 0 0.5002198 -0.8658984 -1 0 0 4.76826e-5 -1 0 -2.04527e-4 -0.5002198 -0.8658984 -1 0 0 -2.25539e-4 -0.4999945 0.8660286 -1 0 0 -1 0 0 4.76826e-5 -1 0 -1 0 0 0 0.4999824 0.8660355 0 -0.5002215 0.8658975 -1 0 0 2.38413e-5 1 0 -2.37431e-4 0.5002214 0.8658975 2.38413e-5 1 0 -1 0 0 0 -1 0 -1 0 0 0 -0.9238717 -0.3827024 0 -0.9238717 -0.3827024 0 -0.9238717 0.3827024 -1 0 0 0 -1 0 0 -0.3827061 0.9238702 0 -0.9238717 0.3827024 0 0 1 -1 0 0 -1 0 0 -1 0 0 0 -0.3827061 0.9238702 -1 0 0 0 0.3827061 0.9238702 -1 0 0 -1 0 0 -1 0 0 0 0 1 -1 0 0 0 0.923869 0.382709 -1 0 0 -1 0 0 0 0.3827061 0.9238702 -1 0 0 0 1 0 -1 0 0 0 0.923869 0.382709 -1 0 0 0 0.923869 -0.382709 -1 0 0 0 1 0 -1 0 0 0 0.3827061 -0.9238702 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.923869 -0.382709 0 0 -1 -1 0 0 -1 0 0 -1 0 0 0 0.3827061 -0.9238702 0 -0.3827061 -0.9238702 0 0 -1 0 -0.3827061 -0.9238702 0 0 -1 0 -0.3827432 -0.9238548 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.3827432 -0.9238548 0 0.3827098 -0.9238686 0 0 -1 -1 0 0 0 0.9238688 -0.3827092 -1 0 0 0 0.3827098 -0.9238686 0 1 0 0 0.9238688 -0.3827092 0 0.9238688 0.3827092 0 1 0 0 0.3827098 0.9238686 0 0.9238688 0.3827092 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 0 0.3827098 0.9238686 -1 0 0 0 -0.3827432 0.9238548 -1 0 0 -1 0 0 0 0 1 -1 0 0 0 -0.9238576 0.3827363 -1 0 0 -1 0 0 -1 0 0 0 -0.3827432 0.9238548 0 -1 0 0 -0.9238576 0.3827363 -1 0 0 0 -0.9238478 0.3827598 -1 0 0 0 -1 0 -1 0 0 0 -0.3827601 0.9238477 -1 0 0 0 -0.9238478 0.3827598 0 0 1 0 -0.3827601 0.9238477 0 -1 0 0 0 1 0 0 -1 0 -1 0 0 -0.3827601 -0.9238477 0 0 -1 0 -0.9238478 -0.3827598 0 -0.3827601 -0.9238477 0 -1 0 0 -0.9238478 -0.3827598 0 -0.9238576 -0.3827363 0 -1 0 0 -0.9238576 -0.3827363 0 -0.3829409 -0.9237729 0 0.3829413 -0.9237727 0 0.3829413 -0.9237727 0 -0.923978 -0.3824456 0 -0.3829409 -0.9237729 0 -0.9239783 0.382445 0 -0.923978 -0.3824456 0 -0.3830024 0.9237474 0 -0.9239783 0.382445 0 0.3830026 0.9237472 0 -0.3830024 0.9237474 0 0.9239556 0.3824994 0 0.3830026 0.9237472 0 0.9239555 -0.3825001 0 0.9239556 0.3824994 0 0.9239555 -0.3825001 0 -0.3830024 -0.9237474 0 0.3830026 -0.9237472 0 0.3830026 -0.9237472 0 -0.9239783 -0.382445 0 -0.3830024 -0.9237474 0 -0.923978 0.3824456 0 -0.9239783 -0.382445 0 -0.3829409 0.9237729 0 -0.923978 0.3824456 0 0.3829413 0.9237727 0 -0.3829409 0.9237729 0 0.9239555 0.3825001 0 0.3829413 0.9237727 0 0.9239556 -0.3824994 0 0.9239555 0.3825001 0 0.9239556 -0.3824994 0 -0.382943 -0.923772 0 0.3829175 -0.9237825 0 0.3829175 -0.9237825 0 -0.9239758 -0.3824511 0 -0.382943 -0.923772 0 -0.923976 0.3824504 0 -0.9239758 -0.3824511 0 -0.3830045 0.9237465 0 -0.923976 0.3824504 0 0.382979 0.9237571 0 -0.3830045 0.9237465 0 0.9239794 0.3824421 0 0.382979 0.9237571 0 0.9239792 -0.3824427 0 0.9239794 0.3824421 0 0.9239792 -0.3824427 0 -0.3830045 -0.9237465 0 0.382979 -0.9237571 0 0.382979 -0.9237571 0 -0.923976 -0.3824504 0 -0.3830045 -0.9237465 0 -0.9239758 0.3824511 0 -0.923976 -0.3824504 0 -0.382943 0.923772 0 -0.9239758 0.3824511 0 0.3829175 0.9237825 0 -0.382943 0.923772 0 0.9239792 0.3824427 0 0.3829175 0.9237825 0 0.9239794 -0.3824421 0 0.9239792 0.3824427 0 0.9239794 -0.3824421 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.5000981 -0.8659688 1 0 0 -1.57831e-4 -0.5000981 -0.8659688 1 0 0 0 -0.4999655 -0.8660454 1 0 0 1.62984e-4 1 0 -1.65312e-4 0.4999592 -0.8660489 1 0 0 -1.50766e-4 0.5000974 0.8659692 1 0 0 1 0 0 1.62984e-4 1 0 1 0 0 0 -0.5000974 0.8659692 1 0 0 0 0.4999707 0.8660423 1 0 0 1.77885e-4 -1 0 1 0 0 -1.43354e-4 -0.4999769 0.8660386 1 0 0 1.77885e-4 -1 0 0 0.5000973 -0.8659692 -1.43314e-4 -0.5000973 -0.8659692 0 -0.4999769 -0.8660387 1 0 0 1.62984e-4 1 0 -1.50784e-4 0.4999706 -0.8660423 1 0 0 -1.50766e-4 0.5000973 0.8659692 1 0 0 1 0 0 1.62984e-4 1 0 1 0 0 0 -0.5000973 0.8659692 1 0 0 0 0.4999707 0.8660424 1 0 0 1.77885e-4 -1 0 1 0 0 -1.43354e-4 -0.4999769 0.8660387 1.77885e-4 -1 0 0 0.5000974 -0.8659692 -1.43314e-4 -0.5000974 -0.8659692 0 -0.499977 -0.8660387 1 0 0 1.62984e-4 1 0 -1.50811e-4 0.4999707 -0.8660423 1 0 0 -1.65283e-4 0.5000981 0.8659688 1 0 0 1.62984e-4 1 0 1 0 0 0 -0.5000981 0.8659688 1 0 0 0 0.4999592 0.8660489 1 0 0 1.77885e-4 -1 0 -1.57877e-4 -0.4999655 0.8660453 1.77885e-4 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -0.7071278 -0.7070857 0 -0.7071278 -0.7070857 0 0 0 -1 -1 0 0 0 1 0 0 0 1 0 0 1 0 1 0 1 0 0 0 -1 0 1 0 0 0.9238843 0 -0.382672 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9238843 0 0.382672 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9238843 0 0.382672 0 -1 0 0 -1 0 0 -1 0 0.9238843 0 -0.382672 0 -1 0 0 -1 0 0 0 1 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 1 0 0 0 1 0 0 1 -1 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3826431 0 0.9238963 0.3826722 3.86383e-5 0.9238842 0 -1 0 0 -1 0 0.3826722 0 0.9238842 0.3826722 0 0.9238842 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071345 0 -0.707079 -0.7071335 8.42965e-6 -0.70708 0 -1 0 0 -1 0 -0.3826954 0 -0.9238746 -0.9202147 0.08893942 -0.3811754 0 -1 0 0.7071455 8.49565e-6 0.707068 0 -1 0 0.9238775 1.10995e-5 -0.3826882 0.3811782 0.08894413 -0.9202132 -0.7071444 0 0.707069 0 -1 0 0 -1 0 0.3826885 0 0.9238774 0.9202231 0.08894193 0.3811546 -0.3811721 0.08894997 0.920215 -0.923883 1.10135e-5 0.382675 0 -1 0 0.7071467 0 -0.7070669 -0.7071457 8.42979e-6 -0.7070679 0 -1 0 -0.3826921 0 -0.923876 -0.9202217 0.08894121 -0.3811581 0 -1 0 0.7071337 8.49551e-6 0.7070798 0 -1 0 0.9238847 1.10996e-5 -0.3826709 0.3811746 0.08895009 -0.920214 0 -1 0 -0.7071327 0 0.7070809 0.3826914 0 0.9238763 0.9202164 0.08894014 0.3811711 -0.3811752 0.08894431 0.9202144 -0.9238761 1.10134e-5 0.3826916 0 -1 0 0.7071339 0 -0.7070798 -0.7071328 8.42964e-6 -0.7070807 0 -1 0 -0.3826913 0 -0.9238763 -0.920215 0.08893972 -0.3811746 0 -1 0 0.7071336 8.4955e-6 0.7070801 0 -1 0 0.923878 1.10995e-5 -0.3826875 0.3811741 0.08894479 -0.9202148 -0.7071325 0 0.707081 0.3826908 0 0.9238765 0.9202164 0.0889402 0.3811711 -0.3811745 0.08894437 0.9202145 -0.9238761 1.10134e-5 0.3826916 0 -1 0 0.7071348 0 -0.7070789 0 -1 0 -0.7071337 8.42965e-6 -0.7070799 0 -1 0 0 -1 0 -0.382696 0 -0.9238743 -0.9202147 0.08893936 -0.3811754 0 -1 0 0.7071453 8.49565e-6 0.7070683 0 -1 0 0.9238775 1.10995e-5 -0.3826882 0.3811788 0.08894407 -0.9202129 -0.7071442 0 0.7070692 0 -1 0 0.3826879 0 0.9238777 0.9202231 0.08894193 0.3811546 -0.3811715 0.08895003 0.9202153 -0.923883 1.10135e-5 0.382675 0 -1 0 0 0 1 0 -1 0 0.3826889 0 0.9238774 0.3826889 0 0.9238774 -0.3826891 0 0.9238772 0 0 1 -0.9238842 0 0.3826724 -0.3826891 0 0.9238772 -1 0 0 -0.9238842 0 0.3826724 -0.9238842 0 -0.3826724 -1 0 0 -0.3826891 0 -0.9238772 -0.9238842 0 -0.3826724 0 0 -1 -0.3826891 0 -0.9238772 0.3826889 0 -0.9238774 0 0 -1 0.9238774 0 -0.3826887 0.3826889 0 -0.9238774 0 -1 0 1 0 0 0.9238774 0 -0.3826887 0 -1 0 0.9238774 0 0.3826887 1 0 0 0.9238774 0 0.3826887 0 -1 0 0 0 -1 0.3826722 0 -0.9238842 0 0 -1 0.3826722 0 -0.9238842 0 0 -1 0 -1 0 0 0 -1 0 -1 0 0.3826722 0 -0.9238842 0.3826431 3.86225e-5 -0.9238963 0 0 -1 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 1 0 -1 0 0 0.2086399 -0.8383092 0.5036934 -0.2086402 -0.8383092 0.5036933 0.5037075 -0.8383021 0.2086347 0.5037063 -0.8383002 -0.2086451 0.2086483 -0.8383008 -0.5037039 -0.2086486 -0.8383008 -0.5037038 -0.5037053 -0.8383004 -0.208647 -0.5037064 -0.8383021 0.2086366 0.2086464 -0.8383006 0.5037049 -0.2086468 -0.8383007 0.5037049 0.5037063 -0.8383002 0.2086448 0.5037075 -0.8383021 -0.2086345 0.2086412 -0.8383098 -0.503692 -0.2086415 -0.8383098 -0.5036919 -0.5037065 -0.8383023 -0.2086364 -0.5037053 -0.8383004 0.2086467 0.2086462 -0.8383005 0.5037052 -0.2086465 -0.8383005 0.5037051 0.5037063 -0.8383002 0.2086448 0.5037064 -0.8383003 -0.2086445 0.2086461 -0.8383007 -0.5037049 -0.2086464 -0.8383008 -0.5037048 -0.5037053 -0.8383003 -0.2086465 -0.5037053 -0.8383004 0.2086467 0.2086396 -0.8383092 0.5036936 -0.2086399 -0.8383092 0.5036935 0.5037075 -0.8383021 0.2086347 0.5037063 -0.8383002 -0.2086451 0.2086486 -0.8383009 -0.5037037 -0.2086489 -0.8383008 -0.5037036 -0.5037053 -0.8383004 -0.208647 -0.5037064 -0.8383021 0.2086366 -1 0 0 0 0.7071326 0.707081 8.42968e-6 -0.7071326 0.707081 -1 0 0 0 -0.3826946 0.9238749 0.08894002 -0.920214 0.3811771 1.18545e-5 0.7071453 -0.7070683 1.54877e-5 0.9238784 0.382686 0.08894824 0.3811611 0.9202197 0 -0.7071453 -0.7070683 0 0.3826779 -0.9238818 0.08894777 0.9202234 -0.3811526 0.08894985 -0.3811777 -0.9202128 1.10135e-5 -0.9238823 -0.3826769 -1 0 0 0 0.7071314 0.7070822 8.42967e-6 -0.7071314 0.7070822 0 -0.3826905 0.9238766 0.08894026 -0.920214 0.3811768 1.18542e-5 0.7071314 -0.7070822 1.54877e-5 0.9238786 0.3826858 0.08894872 0.381157 0.9202214 0 -0.7071314 -0.7070822 0 0.3826738 -0.9238834 0.0889464 0.9202167 -0.381169 0.08894491 -0.3811737 -0.9202149 1.10135e-5 -0.9238754 -0.3826934 0 0.7071453 0.7070683 8.42984e-6 -0.7071453 0.7070683 0 -0.3826946 0.9238749 0.08894163 -0.9202207 0.3811604 1.18542e-5 0.7071326 -0.707081 1.54879e-5 0.9238854 0.3826693 0.08895373 0.3811608 0.9202194 0 -0.7071326 -0.707081 0 0.3826779 -0.9238818 0.08894616 0.9202166 -0.3811693 0.08894443 -0.3811779 -0.9202132 1.10135e-5 -0.9238753 -0.3826936 -0.8383147 0.2086309 -0.503688 -0.8383128 -0.2086411 -0.503687 -0.8383138 0.5036913 -0.2086268 -0.838312 0.5036901 0.2086369 -0.8383057 0.2086362 0.5037009 -0.8383038 -0.2086464 0.5036997 -0.8383038 -0.5037 0.2086458 -0.8383057 -0.5037012 -0.2086356 -0.8383053 0.2086341 -0.5037023 -0.8383035 -0.2086443 -0.5037012 -0.8383119 0.5036901 -0.2086368 -0.8383119 0.5036901 0.2086368 -0.8383053 0.2086341 0.5037023 -0.8383034 -0.2086443 0.5037011 -0.8383038 -0.5037 0.2086457 -0.8383038 -0.5037 -0.2086458 -0.8383057 0.2086362 -0.5037009 -0.8383038 -0.2086464 -0.5036997 -0.838312 0.5036901 -0.2086369 -0.8383138 0.5036913 0.2086268 -0.8383147 0.2086309 0.503688 -0.8383128 -0.2086411 0.503687 -0.8383057 -0.5037012 0.2086356 -0.8383038 -0.5037 -0.2086458 0 0 -1 0.3826889 0 -0.9238774 0.3826889 0 -0.9238774 0 1 0 -0.3826901 0 -0.9238768 0 1 0 0 0 -1 0 1 0 -0.9238842 0 -0.3826724 -0.3826901 0 -0.9238768 0 1 0 -1 0 0 0 1 0 -0.9238842 0 -0.3826724 0 1 0 -0.9238842 0 0.3826724 -1 0 0 0 1 0 -0.3826901 0 0.9238768 -0.9238842 0 0.3826724 0 1 0 0 0 1 0 1 0 -0.3826901 0 0.9238768 0.3826889 0 0.9238774 0 0 1 0.9238784 0 0.3826861 0.3826889 0 0.9238774 1 0 0 0.9238784 0 0.3826861 0.9238784 0 -0.3826861 1 0 0 0.9238784 0 -0.3826861 1 0 0 0.9238774 -3.888e-5 -0.3826887 0.9238653 0 -0.382718 0.9238774 0 0.3826887 1 0 0 0.9238653 -3.88836e-5 0.382718 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0 1 0.7071278 -0.7070857 0 0.7071278 -0.7070857 0 0 0 1 1 0 0 0 1 0 0 0 -1 0 0 -1 0 1 0 -1 0 0 0 -1 0 -1 0 0 -0.9238843 0 0.382672 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9238843 0 -0.382672 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9238843 0 -0.382672 0 -1 0 0 -1 0 0 -1 0 -0.9238843 0 0.382672 0 -1 0 0 -1 0 0 0 -1 1 0 0 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 -1 0 1 0 0 0 -1 0 0 -1 1 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3826431 0 -0.9238963 -0.3826722 3.86383e-5 -0.9238842 0 -1 0 0 -1 0 -0.3826722 0 -0.9238842 -0.3826722 0 -0.9238842 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071345 0 0.707079 0.7071335 8.42965e-6 0.70708 0 -1 0 0 -1 0 0.3826954 0 0.9238746 0.9202147 0.08893942 0.3811754 0 -1 0 -0.7071455 8.49565e-6 -0.707068 0 -1 0 -0.9238775 1.10995e-5 0.3826882 -0.3811782 0.08894413 0.9202132 0.7071444 0 -0.707069 0 -1 0 0 -1 0 -0.3826885 0 -0.9238774 -0.9202231 0.08894193 -0.3811546 0.3811721 0.08894997 -0.920215 0.923883 1.10135e-5 -0.382675 0 -1 0 -0.7071467 0 0.7070669 0.7071457 8.42979e-6 0.7070679 0 -1 0 0.3826921 0 0.923876 0.9202217 0.08894121 0.3811581 0 -1 0 -0.7071337 8.49551e-6 -0.7070798 0 -1 0 -0.9238847 1.10996e-5 0.3826709 -0.3811746 0.08895009 0.920214 0 -1 0 0.7071327 0 -0.7070809 -0.3826914 0 -0.9238763 -0.9202164 0.08894014 -0.3811711 0.3811752 0.08894431 -0.9202144 0.9238761 1.10134e-5 -0.3826916 0 -1 0 -0.7071339 0 0.7070798 0.7071328 8.42964e-6 0.7070807 0 -1 0 0.3826913 0 0.9238763 0.920215 0.08893972 0.3811746 0 -1 0 -0.7071336 8.4955e-6 -0.7070801 0 -1 0 -0.923878 1.10995e-5 0.3826875 -0.3811741 0.08894479 0.9202148 0.7071325 0 -0.707081 -0.3826908 0 -0.9238765 -0.9202164 0.0889402 -0.3811711 0.3811745 0.08894437 -0.9202145 0.9238761 1.10134e-5 -0.3826916 0 -1 0 -0.7071348 0 0.7070789 0 -1 0 0.7071337 8.42965e-6 0.7070799 0 -1 0 0 -1 0 0.382696 0 0.9238743 0.9202147 0.08893936 0.3811754 0 -1 0 -0.7071453 8.49565e-6 -0.7070683 0 -1 0 -0.9238775 1.10995e-5 0.3826882 -0.3811788 0.08894407 0.9202129 0.7071442 0 -0.7070692 0 -1 0 -0.3826879 0 -0.9238777 -0.9202231 0.08894193 -0.3811546 0.3811715 0.08895003 -0.9202153 0.923883 1.10135e-5 -0.382675 0 -1 0 0 0 -1 0 -1 0 -0.3826889 0 -0.9238774 -0.3826889 0 -0.9238774 0.3826891 0 -0.9238772 0 0 -1 0.9238842 0 -0.3826724 0.3826891 0 -0.9238772 1 0 0 0.9238842 0 -0.3826724 0.9238842 0 0.3826724 1 0 0 0.3826891 0 0.9238772 0.9238842 0 0.3826724 0 0 1 0.3826891 0 0.9238772 -0.3826889 0 0.9238774 0 0 1 -0.9238774 0 0.3826887 -0.3826889 0 0.9238774 0 -1 0 -1 0 0 -0.9238774 0 0.3826887 0 -1 0 -0.9238774 0 -0.3826887 -1 0 0 -0.9238774 0 -0.3826887 0 -1 0 0 0 1 -0.3826722 0 0.9238842 0 0 1 -0.3826722 0 0.9238842 0 0 1 0 -1 0 0 0 1 0 -1 0 -0.3826722 0 0.9238842 -0.3826431 3.86225e-5 0.9238963 0 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 1 0 0 -0.2086399 -0.8383092 -0.5036934 0.2086402 -0.8383092 -0.5036933 -0.5037075 -0.8383021 -0.2086347 -0.5037063 -0.8383002 0.2086451 -0.2086483 -0.8383008 0.5037039 0.2086486 -0.8383008 0.5037038 0.5037053 -0.8383004 0.208647 0.5037064 -0.8383021 -0.2086366 -0.2086464 -0.8383006 -0.5037049 0.2086468 -0.8383007 -0.5037049 -0.5037063 -0.8383002 -0.2086448 -0.5037075 -0.8383021 0.2086345 -0.2086412 -0.8383098 0.503692 0.2086415 -0.8383098 0.5036919 0.5037065 -0.8383023 0.2086364 0.5037053 -0.8383004 -0.2086467 -0.2086462 -0.8383005 -0.5037052 0.2086465 -0.8383005 -0.5037051 -0.5037063 -0.8383002 -0.2086448 -0.5037064 -0.8383003 0.2086445 -0.2086461 -0.8383007 0.5037049 0.2086464 -0.8383008 0.5037048 0.5037053 -0.8383003 0.2086465 0.5037053 -0.8383004 -0.2086467 -0.2086396 -0.8383092 -0.5036936 0.2086399 -0.8383092 -0.5036935 -0.5037075 -0.8383021 -0.2086347 -0.5037063 -0.8383002 0.2086451 -0.2086486 -0.8383009 0.5037037 0.2086489 -0.8383008 0.5037036 0.5037053 -0.8383004 0.208647 0.5037064 -0.8383021 -0.2086366 1 0 0 0 0.7071326 -0.707081 -8.42968e-6 -0.7071326 -0.707081 1 0 0 0 -0.3826946 -0.9238749 -0.08894002 -0.920214 -0.3811771 -1.18545e-5 0.7071453 0.7070683 -1.54877e-5 0.9238784 -0.382686 -0.08894824 0.3811611 -0.9202197 0 -0.7071453 0.7070683 0 0.3826779 0.9238818 -0.08894777 0.9202234 0.3811526 -0.08894985 -0.3811777 0.9202128 -1.10135e-5 -0.9238823 0.3826769 1 0 0 0 0.7071314 -0.7070822 -8.42967e-6 -0.7071314 -0.7070822 0 -0.3826905 -0.9238766 -0.08894026 -0.920214 -0.3811768 -1.18542e-5 0.7071314 0.7070822 -1.54877e-5 0.9238786 -0.3826858 -0.08894872 0.381157 -0.9202214 0 -0.7071314 0.7070822 0 0.3826738 0.9238834 -0.0889464 0.9202167 0.381169 -0.08894491 -0.3811737 0.9202149 -1.10135e-5 -0.9238754 0.3826934 0 0.7071453 -0.7070683 -8.42984e-6 -0.7071453 -0.7070683 0 -0.3826946 -0.9238749 -0.08894163 -0.9202207 -0.3811604 -1.18542e-5 0.7071326 0.707081 -1.54879e-5 0.9238854 -0.3826693 -0.08895373 0.3811608 -0.9202194 0 -0.7071326 0.707081 0 0.3826779 0.9238818 -0.08894616 0.9202166 0.3811693 -0.08894443 -0.3811779 0.9202132 -1.10135e-5 -0.9238753 0.3826936 0.8383147 0.2086309 0.503688 0.8383128 -0.2086411 0.503687 0.8383138 0.5036913 0.2086268 0.838312 0.5036901 -0.2086369 0.8383057 0.2086362 -0.5037009 0.8383038 -0.2086464 -0.5036997 0.8383038 -0.5037 -0.2086458 0.8383057 -0.5037012 0.2086356 0.8383053 0.2086341 0.5037023 0.8383035 -0.2086443 0.5037012 0.8383119 0.5036901 0.2086368 0.8383119 0.5036901 -0.2086368 0.8383053 0.2086341 -0.5037023 0.8383034 -0.2086443 -0.5037011 0.8383038 -0.5037 -0.2086457 0.8383038 -0.5037 0.2086458 0.8383057 0.2086362 0.5037009 0.8383038 -0.2086464 0.5036997 0.838312 0.5036901 0.2086369 0.8383138 0.5036913 -0.2086268 0.8383147 0.2086309 -0.503688 0.8383128 -0.2086411 -0.503687 0.8383057 -0.5037012 -0.2086356 0.8383038 -0.5037 0.2086458 0 0 1 -0.3826889 0 0.9238774 -0.3826889 0 0.9238774 0 1 0 0.3826901 0 0.9238768 0 1 0 0 0 1 0 1 0 0.9238842 0 0.3826724 0.3826901 0 0.9238768 0 1 0 1 0 0 0 1 0 0.9238842 0 0.3826724 0 1 0 0.9238842 0 -0.3826724 1 0 0 0 1 0 0.3826901 0 -0.9238768 0.9238842 0 -0.3826724 0 1 0 0 0 -1 0 1 0 0.3826901 0 -0.9238768 -0.3826889 0 -0.9238774 0 0 -1 -0.9238784 0 -0.3826861 -0.3826889 0 -0.9238774 -1 0 0 -0.9238784 0 -0.3826861 -0.9238784 0 0.3826861 -1 0 0 -0.9238784 0 0.3826861 -1 0 0 -0.9238774 -3.888e-5 0.3826887 -0.9238653 0 0.382718 -0.9238774 0 -0.3826887 -1 0 0 -0.9238653 -3.88836e-5 -0.382718 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.8660371 4.20686e-5 0.4999797 0 -1 0 -0.8660408 0 0.4999732 -0.4999802 0 0.866037 0 -1 0 0 -1 0 -1 -1.763e-4 -4.21847e-5 0 -1 0 -1 6.02256e-5 0 0 -1 0 0 -1 0 -0.8660153 -9.16668e-5 -0.5000174 0 -1 0 -0.8660418 2.04701e-4 -0.4999716 0 -1 0 -0.5000169 2.01709e-4 -0.8660156 0 -1 0 -0.4999704 -9.91794e-5 -0.8660426 -4.29597e-5 6.08473e-5 -1 0 -1 0 0 -1.80056e-4 -1 0 -1 0 0.4999771 0 -0.8660386 0 -1 0 0.4999705 4.26702e-5 -0.8660424 0 -1 0 0.8660414 0 -0.4999721 0.8660378 4.1531e-5 -0.4999786 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.4999735 4.29584e-5 0.8660407 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 -1.80026e-4 4.27384e-5 0 -1 0 1 5.96047e-5 0 0 -1 0 0 -1 0 0.8660162 -8.227e-5 0.5000162 0 -1 0 0.8660405 1.91727e-4 0.4999738 0 -1 0 0.5000177 2.0294e-4 0.8660151 0 -1 0 0.4999737 -8.21688e-5 0.8660407 4.27383e-5 6.08473e-5 1 0 -1 0 0 -1.78814e-4 1 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5859233 0 0.8103665 -0.3590659 0 0.9333122 0 -1 0 0 -1 0 -0.3590659 0 0.9333122 -0.5859233 0 0.8103665 0 1 0 0 1 0 0 1 0 -0.5955045 0 0.8033519 0 1 0 -0.5955045 0 0.8033519 -0.878092 0 0.478492 0 1 0 0 1 0 -0.878092 0 0.478492 0 -1 0 0 -1 0 0 -1 0 -0.8101803 0 0.5861808 0 -1 0 -0.8101803 0 0.5861808 -0.9333158 0 0.3590567 0 -1 0 -0.8034803 0 0.5953314 0 -1 0 -0.8034803 0 0.5953314 -0.478492 0 0.878092 -0.478492 0 0.878092 0 -1 0 0 -1 0 0 1 0 -0.9333158 0 0.3590567 -0.980916 0 0.1944324 0 -1 0 -0.980916 0 0.1944324 -0.9904417 0 0.137932 0 -1 0 0 -1 0 0 -1 0 -0.980916 0 -0.1944319 0 -1 0 -0.980916 0 -0.1944319 0 -1 0 0 -1 0 -0.9904417 0 -0.137932 -0.9904417 0 -0.137932 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.9904417 0 0.137932 -0.5859485 0 -0.8103483 0 -1 0 -0.5859485 0 -0.8103483 -0.3590918 0 -0.9333023 0 -1 0 0 -1 0 -0.5953441 0 -0.8034709 0 -1 0 -0.5953441 0 -0.8034709 -0.8781004 0 -0.4784765 -0.8781004 0 -0.4784765 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3590918 0 -0.9333023 -0.8102515 0 -0.5860824 -0.9333163 0 -0.3590551 0 -1 0 -0.9333163 0 -0.3590551 0 -1 0 -0.8102515 0 -0.5860824 0 1 0 0 1 0 0 1 0 -0.8033955 0 -0.5954458 0 1 0 -0.8033955 0 -0.5954458 -0.4785201 0 -0.8780766 0 1 0 -0.4785201 0 -0.8780766 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.1944272 0 -0.9809169 0 -1 0 -0.1944272 0 -0.9809169 -0.1379613 0 -0.9904376 0 -1 0 0.1944276 0 -0.9809169 0 -1 0 0.1944276 0 -0.9809169 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.1379572 0 -0.9904382 0 -1 0 0.1379572 0 -0.9904382 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.1379613 0 -0.9904376 0.8103635 0 -0.5859275 0 -1 0 0.8103635 0 -0.5859275 0.9333063 0 -0.359081 0 -1 0 0.8033803 0 -0.5954664 0 -1 0 0.8033803 0 -0.5954664 0.478505 0 -0.8780848 0.478505 0 -0.8780848 0 -1 0 0 -1 0 0 1 0 0.9333063 0 -0.359081 0.5859485 0 -0.8103483 0.3590835 0 -0.9333055 0 -1 0 0 -1 0 0.3590835 0 -0.9333055 0.5859485 0 -0.8103483 0 1 0 0 1 0 0 1 0 0.5954248 0 -0.803411 0 1 0 0.5954248 0 -0.803411 0.8780851 0 -0.4785045 0 1 0 0 1 0 0.8780851 0 -0.4785045 0 -1 0 0 -1 0 0 -1 0 0.980916 0 -0.1944319 0 -1 0 0.980916 0 -0.1944319 0.9904425 0 -0.1379265 0 -1 0 0 -1 0 0 -1 0 0.980916 0 0.1944324 0 -1 0 0.980916 0 0.1944324 0 -1 0 0 -1 0 0.9904425 0 0.1379265 0.9904425 0 0.1379265 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9904425 0 -0.1379265 0.5859233 0 0.8103665 0 -1 0 0.5859233 0 0.8103665 0.3590575 0 0.9333153 0 -1 0 0 -1 0 0.5955854 0 0.803292 0 -1 0 0.5955854 0 0.803292 0.8780766 0 0.4785201 0.8780766 0 0.4785201 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3590575 0 0.9333153 0.8102923 0 0.5860259 0.9333057 0 0.3590826 0 -1 0 0.9333057 0 0.3590826 0 -1 0 0.8102923 0 0.5860259 0 1 0 0 1 0 0 1 0 0.803465 0 0.5953519 0 1 0 0.803465 0 0.5953519 0.4784769 0 0.8781002 0 1 0 0.4784769 0 0.8781002 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.1944266 0 0.980917 0 -1 0 0.1944266 0 0.980917 0.1379279 0 0.9904423 0 -1 0 -0.1944262 0 0.9809171 0 -1 0 -0.1944262 0 0.9809171 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.1379321 0 0.9904417 0 -1 0 -0.1379321 0 0.9904417 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.1379279 0 0.9904423 -0.8660411 0 0.4999728 -0.4999724 7.90249e-6 0.8660414 -0.4999795 0 0.8660373 -1 1.11759e-5 0 -0.8660371 7.78884e-6 0.4999797 -0.866041 3.54523e-5 -0.4999729 -1 -3.00299e-5 -4.24615e-5 -0.4999729 -1.54254e-5 -0.866041 -0.8660148 -1.54041e-5 -0.5000183 0 -2.99187e-5 -1 -0.5000183 3.55232e-5 -0.8660148 0.4999728 7.94614e-6 -0.8660412 -4.24615e-5 1.12924e-5 -1 0.8660414 0 -0.4999724 0.4999798 0 -0.866037 1 1.12923e-5 0 0.8660373 7.90597e-6 -0.4999794 0.8660414 3.60571e-5 0.4999723 1 -2.93315e-5 4.18618e-5 0.4999722 -1.53672e-5 0.8660413 0.8660149 -1.53163e-5 0.5000181 0 -2.93367e-5 1 0.5000182 3.60503e-5 0.866015 4.18618e-5 1.12924e-5 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.2588257 0 0.965924 -0.9659227 0 0.2588304 -0.9659227 0 0.2588304 0.707107 0 0.7071066 -0.2588257 0 0.965924 0.9659243 0 -0.2588247 0.707107 0 0.7071066 0.2587999 0 -0.965931 0.9659243 0 -0.2588247 -0.7071092 0 -0.7071043 0.2587999 0 -0.965931 -0.7071092 0 -0.7071043 -0.8660254 0 0.5000001 -0.8660249 0 -0.500001 -0.8660249 0 -0.500001 0 0 1 -0.8660254 0 0.5000001 0 1 0 0.8660254 0 0.5000001 0 0 1 0.8660249 0 -0.500001 0 1 0 0.8660254 0 0.5000001 0 0 -1 0.8660249 0 -0.500001 0 0 -1 0 1 0 -0.9659253 0 -0.2588208 0 1 0 -0.2587963 0 -0.9659319 -0.2587963 0 -0.9659319 0 1 0 -0.7071068 0 0.7071068 -0.9659253 0 -0.2588208 0 1 0 0.2588262 0 0.9659239 0 1 0 -0.7071068 0 0.7071068 0.9659293 0 0.2588061 0.2588262 0 0.9659239 0.7071214 0 -0.7070922 0.9659293 0 0.2588061 0.7071214 0 -0.7070922 -0.4999988 0 -0.8660261 0 1 0 0.4999999 0 -0.8660255 0.4999999 0 -0.8660255 0 1 0 -1 0 0 -0.4999988 0 -0.8660261 -0.4999955 0 0.866028 -1 0 0 0.4999966 0 0.8660274 -0.4999955 0 0.866028 0 1 0 1 0 0 0 1 0 0.4999966 0 0.8660274 1 0 0 0.2587956 0 -0.9659322 0.9659321 0 -0.2587957 0.9659321 0 -0.2587957 -0.7070928 0 -0.7071208 0.2587956 0 -0.9659322 -0.9659251 0 0.2588217 -0.7070928 0 -0.7071208 -0.2588322 0 0.9659223 -0.9659251 0 0.2588217 0.7071083 0 0.7071052 -0.2588322 0 0.9659223 0.7071083 0 0.7071052 0.8660272 0 -0.4999968 0.8660283 0 0.499995 0.8660283 0 0.499995 0 0 -1 0.8660272 0 -0.4999968 0 1 0 -0.8660253 0 -0.5000001 0 0 -1 -0.8660264 0 0.4999983 0 1 0 -0.8660253 0 -0.5000001 0 0 1 -0.8660264 0 0.4999983 0 0 1 0 1 0 0.9659238 0 0.2588264 0 1 0 0.2588238 0 0.9659246 0.2588238 0 0.9659246 0 1 0 0.7071066 0 -0.707107 0.9659238 0 0.2588264 0 1 0 -0.2588199 0 -0.9659256 0 1 0 0.7071066 0 -0.707107 -0.9659253 0 -0.2588208 -0.2588199 0 -0.9659256 -0.7071066 0 0.707107 -0.9659253 0 -0.2588208 -0.7071066 0 0.707107 0.499996 0 0.8660277 0 1 0 -0.4999971 0 0.866027 -0.4999971 0 0.866027 0 1 0 1 0 0 0.499996 0 0.8660277 0.499996 0 -0.8660277 1 0 0 -0.4999971 0 -0.866027 0.499996 0 -0.8660277 0 1 0 -1 0 0 0 1 0 -0.4999971 0 -0.866027 -1 0 0 -0.9659239 0 -0.258826 -0.2588295 3.79033e-5 -0.965923 -0.258566 0 -0.9659936 -0.707096 -2.50681e-6 0.7071176 -0.9659935 3.73811e-5 -0.2585661 0.2588326 3.52211e-5 0.9659222 -0.7071183 -6.89258e-6 0.7070952 0.9659287 0 0.2588087 0.2585877 0 0.9659878 0.7071242 -6.79472e-6 -0.7070894 0.9659937 3.49406e-5 0.2585657 0.7071056 -3.13987e-6 -0.707108 0.2588251 0 -0.9659243 0.965923 3.42032e-5 -0.2588297 0.9659867 0 -0.2585918 -0.7071026 -4.49066e-6 -0.7071109 0.2585884 3.40365e-5 -0.9659875 -0.9659228 3.47038e-5 0.2588302 -0.7070975 -5.47929e-6 -0.707116 -0.2588261 0 0.9659239 -0.9659875 0 0.2585889 0.7071084 -4.82028e-6 0.7071052 -0.2585881 3.42188e-5 0.9659877 0.7071033 -5.84251e-6 0.7071103 0.9659287 0 0.2588087 0.2588291 3.46213e-5 0.9659231 0.2585884 0 0.9659876 0.7071238 -6.79475e-6 -0.7070897 0.9659937 3.4941e-5 0.2585657 -0.2588295 3.73036e-5 -0.965923 0.7071075 -3.57902e-6 -0.7071061 -0.9659239 0 -0.2588262 -0.2585701 0 -0.9659924 -0.7070941 -2.14106e-6 0.7071195 -0.9659932 3.72457e-5 -0.2585672 -0.7071207 -7.33174e-6 0.707093 -0.2588263 0 0.9659239 -0.9659228 3.46038e-5 0.2588302 -0.9659874 0 0.2585896 0.7071066 -4.82017e-6 0.707107 -0.2585883 3.42184e-5 0.9659876 0.9659221 3.46031e-5 -0.2588331 0.7071029 -5.54985e-6 0.7071107 0.2588262 0 -0.9659239 0.9659865 0 -0.2585925 -0.7071008 -4.92958e-6 -0.7071128 0.2585884 3.41955e-5 -0.9659875 -0.7070975 -5.55246e-6 -0.707116 0 1 0 -0.6659405 0 0.7460049 0 1 0 0 1 0 0 1 0 -0.5857913 0.6191944 0.5229215 -0.9238669 0 0.3827139 0 1 0 -0.577068 0.03990387 0.8157207 0 1 0 -0.2211264 0 0.9752451 -0.2760124 0 0.9611541 -0.2760506 -1.44421e-5 0.9611431 -0.3756687 0.19099 0.9068604 0.434082 0 0.9008734 -0.2211264 0 0.9752451 0.7071072 0 0.7071064 0.7071072 0 0.7071064 0.434082 0 0.9008734 0 1 0 0.9368898 0 0.3496249 0 1 0 0.9368898 0 0.3496249 0 1 0 -0.93689 0 0.3496243 0 1 0 0 1 0 -0.7071109 0 0.7071026 0 1 0 -0.7071109 0 0.7071026 -0.93689 0 0.3496243 0 1 0 -0.434064 0 0.900882 0 1 0 0 1 0 0.2211267 0 0.9752451 0 1 0 0 1 0 -0.434064 0 0.900882 0.5197331 0.5511405 0.6527799 0.2211267 0 0.9752451 0.2759643 0 0.9611678 0.7823125 5.09778e-5 0.6228862 0.3826508 5.25658e-5 0.923893 0.9752352 0 0.2211701 0.9611545 0 0.2760113 0.9611658 1.49364e-5 0.2759718 0.9068645 0.1911063 0.3755996 0.9008552 0 -0.4341195 0.9752352 0 0.2211701 0.707106 0 -0.7071075 0.707106 0 -0.7071075 0.9008552 0 -0.4341195 0.3496249 0 -0.9368898 0.3496249 0 -0.9368898 0 1 0 0.3496249 0 0.9368898 0 1 0 0 1 0 0.707103 0 0.7071107 0 1 0 0.707103 0 0.7071107 0.3496249 0 0.9368898 0 1 0 0.9008636 0 0.4341021 0 1 0 0 1 0 0.9752352 0 -0.2211701 0.9008636 0 0.4341021 0.7096263 0.4943779 -0.5020169 0.9752352 0 -0.2211701 0.9611405 0 -0.2760596 0 1 0 0.5858252 0.6191639 -0.5229197 0 1 0 0.6659193 0 -0.7460239 0 1 0 0 1 0 0.9238675 0 -0.3827124 0 1 0 0.5770671 0.03989553 -0.8157218 0 1 0 0.2211629 0 -0.9752369 0.2760138 0 -0.9611536 0.2760525 -1.46198e-5 -0.9611425 0.375668 0.1909845 -0.9068619 -0.4341014 0 -0.9008641 0.2211629 0 -0.9752369 -0.7071104 0 -0.7071033 -0.7071104 0 -0.7071033 -0.4341014 0 -0.9008641 0 1 0 -0.93689 0 -0.3496243 0 1 0 -0.93689 0 -0.3496243 0 1 0 0.9368898 0 -0.3496249 0 1 0 0 1 0 0.7071067 0 -0.707107 0 1 0 0.7071067 0 -0.707107 0.9368898 0 -0.3496249 0 1 0 0.4341193 0 -0.9008554 0 1 0 0 1 0 -0.2211627 0 -0.9752369 0 1 0 0 1 0 0.4341193 0 -0.9008554 -0.5197371 0.5511552 -0.6527644 -0.2211627 0 -0.9752369 -0.275965 0 -0.9611677 -0.7823227 5.34985e-5 -0.6228734 -0.382653 4.47661e-5 -0.9238921 -0.9752458 0 -0.2211238 -0.9611536 0 -0.2760143 -0.9611653 1.53318e-5 -0.2759737 -0.9068657 0.1911016 -0.3755995 -0.9008639 0 0.4341016 -0.9752458 0 -0.2211238 -0.707107 0 0.7071065 -0.707107 0 0.7071065 -0.9008639 0 0.4341016 -0.3496249 0 0.9368898 -0.3496249 0 0.9368898 0 1 0 -0.3496249 0 -0.9368898 0 1 0 0 1 0 -0.7071101 0 -0.7071035 0 1 0 -0.7071101 0 -0.7071035 -0.3496249 0 -0.9368898 0 1 0 -0.9008556 0 -0.434119 0 1 0 0 1 0 -0.9752458 0 0.2211238 -0.9008556 0 -0.434119 -0.7096273 0.4943782 0.5020154 -0.9752458 0 0.2211238 -0.9611407 0 0.2760589 -0.2588313 0 0.9659226 -0.9659217 0 0.2588342 -0.9659217 0 0.2588342 0.7071217 0 0.7070919 -0.2588313 0 0.9659226 0.9659303 0 -0.2588023 0.7071217 0 0.7070919 0.2588064 0 -0.9659292 0.9659303 0 -0.2588023 -0.7070919 0 -0.7071217 0.2588064 0 -0.9659292 -0.7070919 0 -0.7071217 -0.9659215 0 -0.2588354 -0.2588078 0 -0.9659288 -0.2588078 0 -0.9659288 -0.7071068 0 0.7071068 -0.9659215 0 -0.2588354 0.2588298 0 0.965923 -0.7071068 0 0.7071068 0.9659306 0 0.2588012 0.2588298 0 0.965923 0.7071068 0 -0.7071068 0.9659306 0 0.2588012 0.7071068 0 -0.7071068 0.2588064 0 -0.9659292 0.9659226 0 -0.258831 0.9659226 0 -0.258831 -0.7070919 0 -0.7071217 0.2588064 0 -0.9659292 -0.9659217 0 0.2588342 -0.7070919 0 -0.7071217 -0.2588313 0 0.9659226 -0.9659217 0 0.2588342 0.7071063 0 0.7071073 -0.2588313 0 0.9659226 0.7071063 0 0.7071073 0.965923 0 0.2588298 0.2588298 0 0.965923 0.2588298 0 0.965923 0.7070914 0 -0.7071222 0.965923 0 0.2588298 -0.2588078 0 -0.9659288 0.7070914 0 -0.7071222 -0.9659215 0 -0.2588354 -0.2588078 0 -0.9659288 -0.7071068 0 0.7071068 -0.9659215 0 -0.2588354 -0.7071068 0 0.7071068 0 -1 0 0.8660727 0 -0.4999181 0 -1 0 0.4999184 7.51646e-7 -0.8660725 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.4999222 0 -0.8660703 0 -1 0 1 -1.29575e-5 0 0 -1 0 0.8660637 3.04045e-6 -0.4999337 0 -1 0 0.8660727 1.68446e-5 0.4999181 1 0 -7.67672e-5 0 -1 0 0.4999184 -1.417e-5 0.8660725 0 -1 0 0.8659808 -1.41781e-5 0.5000773 0 -1 0 0 0 1 0 -1 0 0.5000708 1.55462e-5 0.8659846 0 -1 0 -0.4999182 3.03385e-6 0.8660727 0 -1 0 0 -1 0 -7.67684e-5 -1.29553e-5 1 0 -1 0 -0.8660727 0 0.499918 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.4999338 0 0.8660636 0 -1 0 -1 -1.2917e-5 0 0 -1 0 -0.8660636 3.07201e-6 0.4999338 0 -1 0 -0.8660727 1.55414e-5 -0.499918 -1 0 7.65285e-5 0 -1 0 -0.4999182 -1.417e-5 -0.8660727 0 -1 0 -0.8659847 -1.41781e-5 -0.5000705 0 -1 0 0 0 -1 0 -1 0 -0.5000773 1.68474e-5 -0.8659808 0 -1 0 0 -1 0 9.22406e-5 -1.55667e-5 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.2760119 1.46166e-5 -0.9611542 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9611548 -1.53341e-5 0.2760097 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2760106 1.4437e-5 0.9611545 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9611544 -1.49442e-5 -0.2760117 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 2.44006e-4 -1 1.72572e-4 0 -1 0 2.38069e-4 1 -0.9999999 2.3939e-4 1.69275e-4 1 0 0 -1.68373e-4 0 1 1 2.40322e-4 -1.69934e-4 0 1 0 0 1 0 0 -1 0 -0.2080951 -0.9203348 0.3311802 0 -1 0 -0.6062823 -0.6980665 0.3809527 0 -1 0 -0.3422204 -0.9188988 0.1962403 0 -1 0 -0.1578426 -0.7048718 0.69155 -0.4801477 -0.3731445 0.7938649 -0.3809548 -0.698063 0.6062852 0 -1 0 0 0.9414858 0.3370525 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2364877 -0.6980804 0.6758381 0 -1 0 0 -1 0 0 -1 0 -0.08016926 -0.6980854 0.7115123 0.5063287 -0.6980419 0.5063287 0.2364848 -0.6980882 0.6758313 0 -1 0 0.6758541 -0.6980637 0.2364916 0.5063273 -0.6980438 0.5063274 0 -1 0 0.7093309 -0.7048757 0 0 -1 0 0 -1 0 0 -1 0 0.6758592 -0.6980584 0.2364931 0 -1 0 0.3286077 0.9414837 -0.07500249 0 -1 0 0 -1 0 0 -1 0 0.6062751 -0.6980753 -0.3809481 0 -1 0 0.7114893 -0.6981092 -0.08016431 0 -1 0 0.208119 -0.9203152 -0.3312193 0 -1 0 0.3422465 -0.9188851 -0.1962586 0 -1 0 0.1578354 -0.7049038 -0.691519 0.3809466 -0.6980764 -0.6062748 0.4801156 -0.3733105 -0.7938062 0 -1 0 0 0.9414821 -0.3370628 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.2364888 -0.6980726 -0.6758459 0 -1 0 0 -1 0 0 -1 0 0.08016765 -0.6980775 -0.7115201 -0.5063254 -0.6980468 -0.5063254 -0.2364923 -0.6980635 -0.675854 0 -1 0 -0.6758144 -0.6981062 -0.2364795 -0.5063022 -0.6980785 -0.5063048 0 -1 0 -0.7093309 -0.7048757 0 0 -1 0 0 -1 0 0 -1 0 -0.6758458 -0.698073 -0.2364885 0 -1 0 -0.3285999 0.9414866 0.07500165 0 -1 0 0 -1 0 0 -1 0 -0.7115209 -0.6980764 0.08017021 0.866025 0 -0.5000007 0.5000019 0 -0.8660244 0.5000019 0 -0.8660244 0 -1 0 1 0 -3.41346e-6 0 -1 0 0.866025 0 -0.5000007 0.8660245 0 0.5000015 0 -1 0 1 0 -3.41346e-6 0.4999989 0 0.8660261 0.8660245 0 0.5000015 -3.41347e-6 0 1 0 -1 0 0 -1 0 0.4999989 0 0.8660261 -0.4999991 0 0.8660259 -3.41347e-6 0 1 -0.8660258 0 0.4999992 -0.4999991 0 0.8660259 0 -1 0 -1 0 2.77344e-6 0 -1 0 -0.8660258 0 0.4999992 -0.8660265 0 -0.4999983 0 -1 0 -1 0 2.77344e-6 -0.4999998 0 -0.8660256 -0.8660265 0 -0.4999983 3.41347e-6 0 -1 0 -1 0 0 -1 0 -0.4999998 0 -0.8660256 3.41347e-6 0 -1 -1 0 -1.80775e-4 1.80665e-4 2.55494e-4 0.9999999 0 0 1 -1.80667e-4 2.55496e-4 -0.9999999 -1 2.55616e-4 0 1 0 1.72762e-4 0 0 -1 1 2.44286e-4 0 -1 0 -1.24204e-4 1.71757e-4 2.42896e-4 0.9999999 0 0 1 -1.71777e-4 2.42923e-4 -0.9999999 -1 1.75622e-4 0 1 0 1.8066e-4 0 0 -1 1 2.5545e-4 0 -1 0 -1.80777e-4 1.80665e-4 2.55494e-4 0.9999999 0 0 1 -1.84431e-4 2.60819e-4 -0.9999999 -1 2.55616e-4 0 1 0 1.72763e-4 0 0 -1 1 2.44286e-4 0 -1 0 -1.2044e-4 1.71759e-4 2.42896e-4 1 0 0 1 -1.71778e-4 2.42923e-4 -1 -1 1.703e-4 0 1 0 1.8066e-4 0 0 -1 1 2.5545e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.8660231 0 0.5000039 -0.5000039 0 0.8660233 -0.5000039 0 0.8660233 -1 0 0 -0.8660231 0 0.5000039 -0.8660265 0 -0.4999981 -1 0 0 -0.4999994 0 -0.8660258 -0.8660265 0 -0.4999981 3.65207e-6 0 -1 -0.4999994 0 -0.8660258 0.4999997 0 -0.8660256 3.65207e-6 0 -1 0.8660255 0 -0.4999999 0.4999997 0 -0.8660256 1 0 -3.43724e-6 0.8660255 0 -0.4999999 0.8660257 0 0.4999995 1 0 -3.43724e-6 0.499998 0 0.8660266 0.8660257 0 0.4999995 0 0 1 0.499998 0 0.8660266 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.3413946 -0.9190212 -0.1971036 0.3596342 -0.6947319 -0.6229051 0.2101525 -0.9205499 -0.3292778 0.7192433 -0.6947584 2.80024e-6 0.7950657 -0.372936 -0.4783192 0.6229053 -0.6947317 -0.3596343 0.6229003 -0.6947368 0.3596333 0.7192871 -0.6947129 0 0.3596277 -0.6947508 0.6228879 0.622903 -0.6947337 0.3596346 0 -0.6947587 0.7192429 0.3596022 -0.6947984 0.6228495 -0.3596429 -0.6947097 0.6229249 0 -0.6947587 0.7192429 -0.3414409 -0.9189985 0.1971293 -0.2101648 -0.9205383 0.3293023 -0.7192433 -0.6947584 -2.71539e-6 -0.7950047 -0.373124 0.478274 -0.6229229 -0.69471 0.3596457 -0.6228811 -0.6947601 -0.3596213 -0.7192857 -0.6947144 0 -0.3596394 -0.6947244 -0.6229106 -0.6228978 -0.6947409 -0.3596296 -2.80041e-6 -0.6947133 -0.7192867 -0.3596331 -0.6947361 -0.6229012 0 -0.6947587 -0.7192429 0.464227 -0.3714447 -0.8040661 0.8660255 0 -0.4999998 0.4999994 0 -0.8660258 0.4999994 0 -0.8660258 1 0 0 0.8660255 0 -0.4999998 0.8660246 0 0.5000016 1 0 0 0.4999998 0 0.8660255 0.8660246 0 0.5000016 0 0 1 0.4999998 0 0.8660255 -0.4641916 -0.3716313 0.8040002 -0.5000014 0 0.8660246 0 0 1 -0.5000014 0 0.8660246 -0.8660247 0 0.5000011 0.8040961 0.371357 -0.4642449 0.4783399 0.3728483 -0.7950944 0.3596339 0.6947322 -0.6229051 0.7192429 0.6947587 0 0.3290615 0.9206531 -0.2100397 0.6229053 0.6947323 -0.3596334 0.6229003 0.6947368 0.3596331 0.7192867 0.6947134 2.80041e-6 0.3596254 0.6947504 0.6228896 0.6229028 0.6947338 0.3596348 0 0.6947587 0.7192429 0.3596049 0.6947981 0.6228483 -0.3596464 0.6947092 0.6229234 0 0.6947587 0.7192429 -0.4782958 0.373034 0.7950339 -0.8040303 0.3715451 0.4642085 -0.8660247 0 0.5000011 0.1970061 0.9191051 -0.3412249 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.1970173 0.9190946 0.3412466 0 1 0 -0.3291068 0.9206314 0.210063 0 1 0 -0.6229243 0.6947104 0.3596425 0 1 0 0 1 0 -2.80024e-6 0.6947583 -0.7192432 0 1 0 -0.3596338 0.6947361 -0.6229008 0 1 0 0 0.694713 -0.7192871 0 1 0 -0.6228972 0.6947411 -0.3596305 0 1 0 0 1 0 -0.3596388 0.6947243 -0.622911 0 1 0 -0.7192854 0.6947147 -2.71554e-6 0 1 0 -0.6228816 0.6947602 -0.3596202 0 1 0 -0.7192429 0.6947587 0 -0.8660231 0 0.5000039 -0.5000039 0 0.8660233 -0.5000039 0 0.8660233 -1 0 0 -0.8660231 0 0.5000039 -0.8660265 0 -0.4999981 -1 0 0 -0.4999994 0 -0.8660258 -0.8660265 0 -0.4999981 3.65207e-6 0 -1 -0.4999994 0 -0.8660258 0.4999997 0 -0.8660256 3.65207e-6 0 -1 0.8660255 0 -0.4999999 0.4999997 0 -0.8660256 1 0 -3.43724e-6 0.8660255 0 -0.4999999 0.8660257 0 0.4999995 1 0 -3.43724e-6 0.499998 0 0.8660266 0.8660257 0 0.4999995 0 0 1 0.499998 0 0.8660266 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.866025 0 -0.5000007 0.5000019 0 -0.8660244 0.5000019 0 -0.8660244 1 0 -3.41346e-6 0.866025 0 -0.5000007 0.8660245 0 0.5000015 1 0 -3.41346e-6 0.4999989 0 0.8660261 0.8660245 0 0.5000015 -3.41347e-6 0 1 0.4999989 0 0.8660261 -0.4999991 0 0.8660259 -3.41347e-6 0 1 -0.8660258 0 0.4999992 -0.4999991 0 0.8660259 -1 0 2.77344e-6 -0.8660258 0 0.4999992 -0.8660265 0 -0.4999983 -1 0 2.77344e-6 -0.4999998 0 -0.8660256 -0.8660265 0 -0.4999983 3.41347e-6 0 -1 -0.4999998 0 -0.8660256 3.41347e-6 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.331008 0.9204214 0.2079862 -0.3809557 0.6980624 0.6062852 -0.1961076 0.9189992 0.3420268 -0.6915482 0.7048735 0.1578433 -0.7938999 0.373048 0.4801647 -0.6062825 0.698066 0.3809531 0 1 0 -0.3370501 -0.9414867 0 0 1 0 0 1 0 0 1 0 -0.6758452 0.6980727 -0.2364903 -0.7115202 0.6980772 0.08017015 -0.5063034 0.6980788 -0.5063034 -0.6758152 0.6981062 -0.2364778 -0.2364918 0.6980634 -0.6758544 -0.5063241 0.6980467 -0.5063267 0 1 0 0 0.7048757 -0.7093309 0 1 0 -0.2364892 0.6980729 -0.6758455 0.07500183 -0.9414855 -0.3286029 0 1 0 0.3809476 0.6980762 -0.6062742 0.08016365 0.698114 -0.7114848 0.3310362 0.9204072 -0.2080039 0.1961337 0.9189794 -0.3420649 0.6915228 0.7049 -0.1578355 0.7938382 0.3732221 -0.4801315 0.6062758 0.6980751 -0.3809473 0 1 0 0.3370637 -0.9414818 0 0 1 0 0 1 0 0 1 0 0.675859 0.6980583 0.2364934 0.7115154 0.6980825 -0.08016723 0.5063274 0.6980439 0.5063274 0.675854 0.6980639 0.2364913 0.2364853 0.6980882 0.675831 0.5063285 0.698042 0.5063287 0 1 0 0 0.7048836 0.7093229 0 1 0 0.2364873 0.6980805 0.6758383 -0.07500231 -0.9414848 0.3286048 0 1 0 -0.08017033 0.6980755 0.7115218 1.80665e-4 0 1 -0.9999999 -2.55659e-4 -1.80774e-4 -1 0 0 0.9999999 -2.44328e-4 1.72762e-4 0 -2.55447e-4 0.9999999 -1.80667e-4 0 -1 1 0 0 0 -2.55447e-4 -0.9999999 1.71757e-4 0 1 -1 -1.7565e-4 -1.24204e-4 -1 0 0 1 -2.55491e-4 1.8066e-4 0 -2.42849e-4 0.9999999 -1.71777e-4 0 -1 1 0 0 0 -2.42891e-4 -0.9999999 1.80665e-4 0 1 -1 -2.5566e-4 -1.80777e-4 -1 0 0 0.9999999 -2.44328e-4 1.72763e-4 0 -2.55447e-4 0.9999999 -1.84431e-4 0 -1 1 0 0 0 -2.60769e-4 -0.9999999 1.71759e-4 0 1 -1 -1.70327e-4 -1.2044e-4 -1 0 0 1 -2.55491e-4 1.8066e-4 0 -2.42849e-4 1 -1.71778e-4 0 -1 1 0 0 0 -2.42891e-4 -1 -0.4933459 0.3743563 0.7851543 -0.8467239 0 0.5320327 -0.5320326 0 0.8467239 -0.5320326 0 0.8467239 -0.9937121 0 0.111966 -0.8467239 0 0.5320327 -0.9438834 0 -0.3302789 -0.9937121 0 0.111966 -0.707105 0 -0.7071086 -0.9438834 0 -0.3302789 -0.33028 0 -0.943883 -0.707105 0 -0.7071086 0.1119625 0 -0.9937125 -0.33028 0 -0.943883 0.4933084 0.3745237 -0.785098 0.532031 0 -0.8467249 0.1119625 0 -0.9937125 0.532031 0 -0.8467249 0.8467249 0 -0.5320311 -0.7888685 -0.3633017 0.4956797 -0.6522095 -0.3713632 0.6608421 -0.4318686 0.5840284 0.6873139 -0.6470108 -0.3578597 0.6732856 -0.5777793 -0.00544393 0.8161748 -0.9450135 0.3092116 0.1064789 -0.08097594 0.9935079 0.07990437 -0.08717238 0.9926624 0.08379876 -0.7955453 -0.3626443 0.4853832 -0.7956393 -0.3623405 0.4854559 -0.4950275 0.7895362 0.3627401 -0.7492974 -0.5910021 0.2987806 -0.7999731 0.5307414 -0.2799225 -0.861714 0.495422 0.1095724 -0.7854787 -0.6107761 -0.0998789 -0.322821 0.8897034 -0.3228227 -0.9288673 0.004621148 -0.3703837 -0.6746805 -0.5480824 -0.4943802 -0.7342176 -0.3690053 -0.5698767 -0.328023 0.1167074 -0.9374328 -0.2897131 0.9145826 -0.2821432 -0.3534345 0.8621923 -0.3629169 -0.5698272 -0.3691619 -0.7341775 -0.5699143 -0.3688871 -0.7342481 -0.4943915 -0.5480603 -0.6746904 0.1003517 0.4434534 -0.890662 -0.2739708 0.6729638 -0.6870661 -0.09987509 -0.6107599 -0.7854918 0.4318819 0.5839903 -0.687338 0.1218175 0.2593851 -0.9580605 0.2987822 -0.591011 -0.7492898 0.5777772 -0.00551027 -0.8161759 0.6469919 -0.3579306 -0.673266 0.6521896 -0.3714338 -0.660822 0.7888411 -0.3633877 -0.4956604 0.8467249 0 -0.5320311 0 -1 0 0 -1 0 0 -1 0 0.707092 -4.79177e-5 0.7071217 0.7071068 0 0.7071068 0 -1 0 0.7071143 4.37148e-5 0.7070994 -0.7500338 0.3679447 0.5496053 -0.750087 0.367785 0.5496395 0.7071007 -3.6075e-5 0.7071129 -0.7492974 0.5910021 0.2987806 -0.8161821 0.00529462 0.5777704 -0.6873146 -0.5840271 0.431869 -0.9580667 -0.2593589 0.1218243 -0.7854787 0.6107761 -0.0998789 -0.8906562 -0.4434641 0.1003542 -0.687106 -0.6729184 -0.273982 -0.6746805 0.5480824 -0.4943802 -0.937436 -0.1166822 -0.3280228 -0.7342467 -0.3688916 -0.5699128 0.7071063 -2.91731e-7 -0.7071073 -0.7342104 0.3690449 -0.5698605 0.7071062 3.53882e-7 -0.7071074 0.70709 2.01207e-4 -0.7071236 0 -1 0 0 -1 0 -0.7071067 0 0.7071067 -0.7071068 0 0.7071068 0 -1 0 -0.707105 7.63955e-6 0.7071086 -0.4943915 0.5480603 -0.6746904 -0.5698235 0.3691617 -0.7341804 -0.5698619 0.3690406 -0.7342115 -0.7071073 -6.30432e-6 0.7071063 -0.3703892 -0.004637777 -0.9288651 -0.09987509 0.6107599 -0.7854918 -0.2799131 -0.5307915 -0.799943 0.1095684 -0.495403 -0.8617253 0.2987822 0.591011 -0.7492898 0.1064751 -0.3092271 -0.9450089 0.5496348 -0.3678089 -0.7500789 0.362752 -0.7895184 -0.4950473 0.5496729 -0.3676309 -0.7501381 0.7071099 3.77891e-5 0.7071037 0.4854181 0.3624929 -0.795593 0.7070956 -4.58388e-5 0.7071179 0.7071205 1.70012e-4 0.707093 0 -1 0 0 -1 0 0.08094304 0.9935123 -0.07988333 0 -1 0 -0.6731258 0.3580434 0.6470754 0 1 0 0.7071068 3.95169e-5 0.7071068 -0.6609205 0.3712854 0.6521742 0 1 0 -0.4956954 0.3632254 0.7888937 -0.07989823 -0.9935101 0.0809558 0 1 0 -0.8467239 0 0.5320327 -0.5320326 0 0.8467239 -0.5320326 0 0.8467239 -0.9937121 0 0.111966 -0.8467239 0 0.5320327 -0.9438834 0 -0.3302789 -0.9937121 0 0.111966 -0.3228809 -0.8896599 -0.3228826 -0.707105 0 -0.7071086 -0.2822121 -0.9145391 -0.2897836 -0.3630003 -0.8621239 -0.3535156 -0.7342206 0.3690052 -0.5698731 -0.9438834 0 -0.3302789 -0.33028 0 -0.943883 -0.707105 0 -0.7071086 0.1119625 0 -0.9937125 -0.33028 0 -0.943883 0.4956828 0.3632793 -0.7888768 0.532031 0 -0.8467249 0.07989811 -0.9935101 -0.08095562 0.08387088 -0.9926471 -0.08727687 0.4854104 0.3625254 -0.7955828 0.1119625 0 -0.9937125 0.6608534 0.3713572 -0.6522013 0.532031 0 -0.8467249 0.8467249 0 -0.5320311 0.8161761 0.005505442 -0.5777771 0.6873369 -0.583992 -0.4318813 0.6732701 0.3578845 -0.6470132 0 1 0 0 1 0 0 1 0 0.7070567 -2.06132e-4 0.7071568 0 1 0 0.7071205 0 0.707093 -0.7071068 0 0.7071068 0 1 0 0 1 0 0.7071654 -2.43949e-4 -0.707048 0 1 0 0.70709 0 -0.7071236 -0.7851269 -0.3744366 0.4933287 0.7850682 -0.3746106 -0.4932898 0.8467249 0 -0.5320311 -1 0 0 -0.8660258 0 -0.4999994 -1 0 0 -0.500001 0 -0.8660248 -0.8660258 0 -0.4999994 0 0 -1 -0.500001 0 -0.8660248 0 0 -1 0.9937124 0 -0.1119627 0.9438834 0 0.3302788 0.9937124 0 -0.1119627 0.7071067 0 0.707107 0.9438834 0 0.3302788 0.3302806 0 0.9438828 0.7071067 0 0.707107 -0.111966 0 0.993712 0.3302806 0 0.9438828 -0.111966 0 0.993712 0.9450268 0.3091716 -0.1064772 0.08724945 0.9926516 -0.0838468 0.795579 -0.3625342 -0.4854102 0.7956435 -0.3623256 -0.4854602 0.4950471 0.7895184 -0.3627518 0.7492778 -0.5910307 -0.2987729 0.7999581 0.5307669 0.2799171 0.8617154 0.4954194 -0.1095719 0.7854855 -0.6107675 0.09987854 0.3228096 0.8897122 0.3228097 0.9288672 0.004666566 0.3703836 0.6746948 -0.5480518 0.4943947 0.7341638 -0.3692142 0.5698109 0.3280231 0.1167223 0.937431 0.2898027 0.9145202 0.2822541 0.3534452 0.8621832 0.3629279 0.5699129 -0.3688796 0.7342528 0.5699271 -0.3688346 0.7342643 0.4943952 -0.5480441 0.6747007 -0.1003546 0.4434583 0.8906592 0.2739821 0.6729171 0.6871073 0.09987783 -0.6107782 0.7854771 -0.121823 0.2593672 0.9580646 -0.2987815 -0.5909993 0.7492994 -0.5496776 -0.367623 0.7501386 -0.7071022 -2.37471e-5 -0.7071114 -0.549647 -0.3677655 0.7500911 -0.3627394 -0.7895372 0.4950264 -0.4854207 0.3624808 0.795597 -0.7071111 2.88057e-5 -0.7071024 -0.7070904 -1.68573e-4 -0.7071231 0 -1 0 0 -1 0 -0.7071772 2.90122e-4 -0.7070363 -0.7070875 0 -0.7071262 0 -1 0 -0.7070956 -4.58131e-5 -0.7071179 0.7500798 0.3678124 -0.5496312 0.7500921 0.3677752 -0.5496392 -0.7071098 3.78066e-5 -0.7071037 0.7492778 0.5910307 -0.2987729 0.9580802 -0.2593081 -0.1218253 0.7854855 0.6107675 0.09987854 0.8906626 -0.443452 -0.1003519 0.6870909 -0.6729363 0.2739759 0.6746948 0.5480518 0.4943947 0.9374316 -0.1167229 0.3280211 0.7342627 -0.3688289 0.5699329 -0.7071042 -1.43923e-6 0.7071093 0.7342262 0.3689825 0.5698806 -0.7071037 1.74577e-6 0.7071099 -0.7071043 -1.4391e-6 0.7071094 0 -1 0 0 -1 0 0.7071037 1.76835e-6 -0.7071098 0.7071042 0 -0.7071093 0 -1 0 0.7071019 9.38417e-6 -0.7071117 0.4943952 0.5480441 0.6747007 0.5698748 0.3689882 0.7342278 0.7071048 -7.74428e-6 -0.7071089 0.5699092 0.3688794 0.7342558 0.3703832 -0.004671812 0.9288672 0.09987783 0.6107782 0.7854771 0.2799224 -0.5307494 0.7999679 -0.1095722 -0.495413 0.8617193 -0.2987815 0.5909993 0.7492994 -0.1064788 -0.3092159 0.9450122 0.7071042 -1.43916e-6 -0.7071093 0.2822087 -0.9145413 0.2897801 0 1 0 0.3228848 -0.8896576 0.3228849 0.3628407 -0.8622427 0.3533896 0 1 0 0.7341668 0.3692139 0.5698072 -0.7071037 1.74506e-6 0.7071099 0 1 0 -0.7071042 0 0.7071093 -0.7070874 -2.39284e-4 -0.7071262 0 1 0 0.9937124 0 -0.1119627 0.9438834 0 0.3302788 0.9937124 0 -0.1119627 0.7071067 0 0.707107 0.9438834 0 0.3302788 0.3302806 0 0.9438828 0.7071067 0 0.707107 -0.111966 0 0.993712 0.3302806 0 0.9438828 -0.08387106 -0.9926472 0.08727705 -0.485426 0.3624578 0.7956041 -0.111966 0 0.993712 0 1 0 -0.7071538 2.04388e-4 -0.7070598 0 1 0 -0.7070904 0 -0.7071231 0.7071222 0 0.7070915 0.7071222 0 0.7070915 -0.7070919 0 -0.7071217 -0.7070919 0 -0.7071217 0.7071068 0 -0.7071068 0.7071068 0 -0.7071068 -0.7071073 0 0.7071064 -0.7071073 0 0.7071064 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0.4999947 -0.8660285 0 0 0 1 -0.4999947 -0.8660285 2.51862e-5 0 0 1 -0.5000111 -0.8660191 0 0 0 1 0.9844104 0 -0.1758869 0.3770246 -0.9101991 -0.1714358 0.9201518 -0.3811473 0.08970618 0 0 1 0.4956182 0.858448 -0.1320217 0 0 1 0 0 1 0.9201518 0.3811473 0.08970618 0 0 1 -0.4999947 0.8660285 0 0 0 1 0.3826902 0.9238768 0 0 0 1 -1 0 -3.17894e-5 -0.5000111 0.8660191 2.5175e-5 0 0 1 0 0 1 -1 0 -3.17894e-5 -0.3780227 -0.65471 0.6545637 0.3779261 -0.6545428 0.6547867 0.3780066 -0.6547147 0.6545683 -0.7561011 0 0.6544548 -0.3779141 -0.6545544 0.6547821 -0.3779261 0.6545428 0.6547867 -0.756101 0 0.6544548 0.3780227 0.65471 0.6545637 -0.3780066 0.6547147 0.6545683 0.7561011 0 0.6544548 0.377914 0.6545544 0.6547821 0.756101 0 0.6544548 0 0 -1 0.7071066 0.707107 0 0 0 -1 -0.7071068 0.7071068 6.90667e-6 -0.2792907 0.9602066 0 -0.7483224 0.6589184 0.07641965 -0.9223566 0.3506783 0.1621211 -0.9678555 0.1215595 0.220179 0 0 -1 0.7071066 -0.707107 0 0 0 -1 0.7071066 0.707107 0 0 0 -1 -0.7071068 -0.7071068 0 0 0 -1 0.7071066 -0.707107 0 0 0 -1 0 0 -1 -0.7494388 -0.6598995 0.05361223 -0.9457027 -0.3247964 0.01239264 -0.275142 -0.9459434 0.1717211 -0.9940825 -0.1086286 9.70958e-6 0 0 -1 -0.7071066 -0.707107 0 0 0 -1 0.7071068 -0.7071068 6.90667e-6 0.2792907 -0.9602066 0 0.7483235 -0.6589174 0.07641983 0.9529158 -0.239867 0.1855137 0 0 -1 -0.7071066 0.707107 0 0 0 -1 -0.7071066 -0.707107 0 0 0 -1 0.7071068 0.7071068 0 0 0 -1 -0.7071066 0.707107 0 0 0 -1 0 0 -1 0.7494378 0.6599006 0.05361258 0.9760079 0.2177345 9.53374e-6 0.275142 0.9459434 0.1717211 0.3779526 -0.6546543 -0.6546598 -0.3780018 -0.6547394 -0.6545464 -0.377969 -0.6546496 -0.6546551 0.7558413 0 -0.654755 0.378014 -0.6547276 -0.6545512 0.3780018 0.6547394 -0.6545464 0.7558412 0 -0.6547549 -0.3779526 0.6546543 -0.6546598 0.377969 0.6546496 -0.6546551 -0.7558413 0 -0.654755 -0.378014 0.6547276 -0.6545512 -0.7558412 0 -0.6547549 0.5000069 -0.8660215 0 0.5000069 -0.8660215 0 -0.5000069 -0.8660215 0 1 0 0 1 0 0 0.5000069 0.8660215 0 0.5000069 0.8660215 0 -0.5000069 0.8660215 0 -0.5000069 0.8660215 0 -0.5000069 -0.8660215 0 -1 0 0 -1 0 0 0 0 1 -0.4721321 -0.2619183 0.8417185 -0.9249915 -0.1553487 0.3467816 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.4721482 0.2619166 0.84171 -0.9731805 0 -0.2300431 -0.0385679 0.1538196 -0.987346 0 0 1 -0.2788766 0.7528295 -0.5962178 0.2533943 0.6840258 0.6840322 -0.3779725 0.6546483 0.6546543 0 0 1 0.5670128 0.3145537 0.7612834 0 0 1 0.3154612 0.7615751 0.5661162 0.9488147 0.311945 0.04940682 0 0 1 0 0 1 0 0 1 0.5670127 -0.3145539 0.7612833 0.8266895 -0.342433 0.4464574 0.7313906 -0.09704107 0.6750191 0 0 1 0.2915796 -0.7871481 0.543488 -0.2533674 -0.6839904 0.6840776 0.2810735 -0.6785573 0.678644 -0.4917029 -0.8516294 -0.181537 0.7777509 0.3221616 0.5397367 0.7068568 0.02673959 0.7068511 0.706855 -0.02683806 0.7068492 1 0 0 0 0.7071046 0.7071089 1 0 0 0 0.7070941 -0.7071194 1 0 0 0 0.7070941 -0.7071194 1 0 0 0 -0.707096 0.7071175 1 0 0 1 0 0 0 0.7071046 0.7071089 1 0 0 0 -0.7070855 -0.707128 1 0 0 0 -0.707096 0.7071175 1 0 0 1 0 0 0 -0.7070855 -0.707128 0.9126084 0.377715 -0.1564523 0.678681 0.6785296 0.2810509 0.9042978 0.3742753 0.2053374 1 0 0 0.6785914 0.2810909 -0.6786026 0.6786498 0.6785517 -0.281073 0.3506421 0.8463068 -0.4010174 0.6786047 -0.28108 -0.6785938 0.6786029 0.2810887 -0.6785922 0.6786301 -0.6785727 -0.2810698 0.6785836 -0.2810908 -0.6786107 0.9126084 -0.377715 0.1564518 0.9042965 -0.3742748 -0.2053439 1 0 0 0.6786637 -0.2810571 0.6785445 0.6786615 -0.6785499 0.281049 0.3503247 -0.8464105 0.4010759 0.6786023 0.281085 0.6785943 0.6786057 -0.2810686 0.6785976 0.6786699 0.2810506 0.678541 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071197 0.7070938 0 0.707107 -0.7071065 0 0.707107 -0.7071065 0 -0.7071093 0.7071042 0 0.7071197 0.7070938 0 -0.7070966 -0.7071169 0 -0.7071093 0.7071042 0 -0.7070966 -0.7071169 1 0 0 1 0 0 -1 0 0 -0.678595 0.678595 0.2811008 -0.6786531 0.6785427 -0.2810871 -0.6785969 0.6785969 -0.2810918 -1 0 0 -0.6786468 0.2810889 0.6785482 -1 0 0 -1 0 0 -1 0 0 -0.6786477 0.678556 0.2810679 -1 0 0 -0.6785303 -0.2811236 0.6786503 -1 0 0 -0.6785355 0.2810981 0.6786556 -1 0 0 -0.6786406 -0.6785561 0.2810847 -1 0 0 -0.6786348 -0.2810583 0.6785729 -0.6785287 -0.6786488 -0.281131 -0.6785365 -0.6786566 0.2810932 -1 0 0 -0.6786425 -0.2810829 -0.6785549 -1 0 0 -1 0 0 -0.6786363 -0.678569 -0.2810638 -1 0 0 -0.6785904 0.2811079 -0.6785967 -1 0 0 -0.6785947 -0.2810868 -0.678601 -0.6786449 0.2810738 -0.6785562 0 -1 0 0 -0.4999818 -0.866036 0 -1 0 0 -0.5000084 0.8660206 0 -0.5000084 0.8660206 0 0.5000084 0.8660206 0 0.5000084 0.8660206 0 1 0 0 1 0 0 0.4999818 -0.866036 0 0.4999818 -0.866036 0 -0.4999818 -0.866036 0 0.9238758 -0.3826923 0 0.9238758 -0.3826923 0 0.9238791 0.3826844 0 0.3826911 -0.9238764 0 0.3826911 -0.9238764 0 -0.3826847 -0.923879 0 -0.3826847 -0.923879 0 -0.9238836 -0.3826733 0 -0.9238836 -0.3826733 0 -0.923887 0.3826653 0 -0.923887 0.3826653 0.3571678 -0.8629446 -0.3574323 0 0.9238791 0.3826844 0.3574869 0.8628275 0.3573959 0 0.3826715 0.9238844 0 0.3826715 0.9238844 0 -0.3826651 0.9238871 0 -0.3826651 0.9238871 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7070948 0.7071188 1 0 0 0 0.7070948 -0.7071188 1 0 0 0 0.7070948 -0.7071188 1 0 0 0 -0.7070862 0.7071273 1 0 0 1 0 0 0 0.7070948 0.7071188 1 0 0 0 -0.7070862 -0.7071273 1 0 0 0 -0.7070862 0.7071273 1 0 0 1 0 0 0 -0.7070862 -0.7071273 0.9126079 0.3777148 -0.156456 0.6786874 0.6785214 0.2810553 0.904297 0.3742749 0.2053419 1 0 0 0.6786846 0.2810578 -0.6785233 0.6786883 0.678519 -0.281059 0.3506407 0.8463035 -0.4010255 0.6786976 -0.2810469 -0.6785147 0.6786959 0.2810555 -0.678513 0.6786701 -0.6785363 -0.2810615 0.6786767 -0.2810576 -0.6785312 0.9126079 -0.3777148 0.156456 0.9042965 -0.3742749 -0.2053436 1 0 0 0.678676 -0.2810546 0.6785331 0.6786678 -0.6785423 0.2810523 0.3503229 -0.8464069 0.4010853 0.6786962 0.2810536 0.6785133 0.6786969 -0.2810505 0.678514 0.678685 0.2810594 0.6785222 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071058 0.7071078 0 0.7071058 -0.7071078 0 0.7071058 -0.7071078 0 -0.7070955 0.7071182 0 0.7071058 0.7071078 0 -0.7070955 -0.7071182 0 -0.7070955 0.7071182 0 -0.7070955 -0.7071182 1 0 0 1 0 0 -1 0 0 -0.6785936 0.6785936 0.2811078 -0.6786534 0.6785424 -0.2810866 -0.678597 0.678597 -0.2810913 -1 0 0 -0.6786493 0.281087 0.6785465 -1 0 0 -1 0 0 -1 0 0 -0.67865 0.6785517 0.2810725 -1 0 0 -0.6785921 -0.2811007 0.678598 -1 0 0 -0.6785939 0.2810915 0.6785998 -1 0 0 -0.6786432 -0.6785512 0.2810903 -1 0 0 -0.6786407 -0.2810704 0.678562 -0.6785288 -0.6786489 -0.2811307 -0.6785353 -0.6786554 0.2810992 -1 0 0 -0.6786436 -0.2810825 -0.678554 -1 0 0 -1 0 0 -0.6786366 -0.6785688 -0.2810633 -1 0 0 -0.6785906 0.2811077 -0.6785966 -1 0 0 -0.678595 -0.2810865 -0.6786009 -0.6786459 0.2810732 -0.6785556 0 -1 0 0 -0.4999716 -0.8660417 0 -1 0 0 -0.4999716 0.8660417 0 -0.4999716 0.8660417 0 0.4999716 0.8660417 0 0.4999716 0.8660417 0 1 0 0 1 0 0 0.4999716 -0.8660417 0 0.4999716 -0.8660417 0 -0.4999716 -0.8660417 0 0.9238761 -0.3826918 0 0.9238761 -0.3826918 0 0.9238761 0.3826918 0 0.3826907 -0.9238765 0 0.3826907 -0.9238765 0 -0.3826842 -0.9238791 0 -0.3826842 -0.9238791 0 -0.923884 -0.3826729 0 -0.923884 -0.3826729 0 -0.923884 0.3826729 0 -0.923884 0.3826729 0.3571679 -0.8629447 -0.3574318 0 0.9238761 0.3826918 0.3574859 0.862825 0.357403 0 0.3826907 0.9238765 0 0.3826907 0.9238765 0 -0.3826842 0.9238791 0 -0.3826842 0.9238791 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7071046 -0.7071089 -1 0 0 0 0.7070941 0.7071194 -1 0 0 0 0.7070941 0.7071194 -1 0 0 0 -0.707096 -0.7071175 -1 0 0 -1 0 0 0 0.7071046 -0.7071089 -1 0 0 0 -0.7070855 0.707128 -1 0 0 0 -0.707096 -0.7071175 -1 0 0 -1 0 0 0 -0.7070855 0.707128 -0.9126084 0.377715 0.1564523 -0.678681 0.6785296 -0.2810509 -0.9042978 0.3742753 -0.2053374 -1 0 0 -0.6785914 0.2810909 0.6786026 -0.6786498 0.6785517 0.281073 -0.3506421 0.8463068 0.4010174 -0.6786047 -0.28108 0.6785938 -0.6786029 0.2810887 0.6785922 -0.6786301 -0.6785727 0.2810698 -0.6785836 -0.2810908 0.6786107 -0.9126084 -0.377715 -0.1564518 -0.9042965 -0.3742748 0.2053439 -1 0 0 -0.6786637 -0.2810571 -0.6785445 -0.6786615 -0.6785499 -0.281049 -0.3503247 -0.8464105 -0.4010759 -0.6786023 0.281085 -0.6785943 -0.6786057 -0.2810686 -0.6785976 -0.6786699 0.2810506 -0.678541 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7071197 -0.7070938 0 0.707107 0.7071065 0 0.707107 0.7071065 0 -0.7071093 -0.7071042 0 0.7071197 -0.7070938 0 -0.7070966 0.7071169 0 -0.7071093 -0.7071042 0 -0.7070966 0.7071169 -1 0 0 -1 0 0 1 0 0 0.678595 0.678595 -0.2811008 0.6786531 0.6785427 0.2810871 0.6785969 0.6785969 0.2810918 1 0 0 0.6786468 0.2810889 -0.6785482 1 0 0 1 0 0 1 0 0 0.6786477 0.678556 -0.2810679 1 0 0 0.6785303 -0.2811236 -0.6786503 1 0 0 0.6785355 0.2810981 -0.6786556 1 0 0 0.6786406 -0.6785561 -0.2810847 1 0 0 0.6786348 -0.2810583 -0.6785729 0.6785287 -0.6786488 0.281131 0.6785365 -0.6786566 -0.2810932 1 0 0 0.6786425 -0.2810829 0.6785549 1 0 0 1 0 0 0.6786363 -0.678569 0.2810638 1 0 0 0.6785904 0.2811079 0.6785967 1 0 0 0.6785947 -0.2810868 0.678601 0.6786449 0.2810738 0.6785562 0 -1 0 0 -0.4999818 0.866036 0 -1 0 0 -0.5000084 -0.8660206 0 -0.5000084 -0.8660206 0 0.5000084 -0.8660206 0 0.5000084 -0.8660206 0 1 0 0 1 0 0 0.4999818 0.866036 0 0.4999818 0.866036 0 -0.4999818 0.866036 0 0.9238758 0.3826923 0 0.9238758 0.3826923 0 0.9238791 -0.3826844 0 0.3826911 0.9238764 0 0.3826911 0.9238764 0 -0.3826847 0.923879 0 -0.3826847 0.923879 0 -0.9238836 0.3826733 0 -0.9238836 0.3826733 0 -0.923887 -0.3826653 0 -0.923887 -0.3826653 -0.3571678 -0.8629446 0.3574323 0 0.9238791 -0.3826844 -0.3574869 0.8628275 -0.3573959 0 0.3826715 -0.9238844 0 0.3826715 -0.9238844 0 -0.3826651 -0.9238871 0 -0.3826651 -0.9238871 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.7070948 -0.7071188 -1 0 0 0 0.7070948 0.7071188 -1 0 0 0 0.7070948 0.7071188 -1 0 0 0 -0.7070862 -0.7071273 -1 0 0 -1 0 0 0 0.7070948 -0.7071188 -1 0 0 0 -0.7070862 0.7071273 -1 0 0 0 -0.7070862 -0.7071273 -1 0 0 -1 0 0 0 -0.7070862 0.7071273 -0.9126079 0.3777148 0.156456 -0.6786874 0.6785214 -0.2810553 -0.904297 0.3742749 -0.2053419 -1 0 0 -0.6786846 0.2810578 0.6785233 -0.6786883 0.678519 0.281059 -0.3506407 0.8463035 0.4010255 -0.6786976 -0.2810469 0.6785147 -0.6786959 0.2810555 0.678513 -0.6786701 -0.6785363 0.2810615 -0.6786767 -0.2810576 0.6785312 -0.9126079 -0.3777148 -0.156456 -0.9042965 -0.3742749 0.2053436 -1 0 0 -0.678676 -0.2810546 -0.6785331 -0.6786678 -0.6785423 -0.2810523 -0.3503229 -0.8464069 -0.4010853 -0.6786962 0.2810536 -0.6785133 -0.6786969 -0.2810505 -0.678514 -0.678685 0.2810594 -0.6785222 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7071058 -0.7071078 0 0.7071058 0.7071078 0 0.7071058 0.7071078 0 -0.7070955 -0.7071182 0 0.7071058 -0.7071078 0 -0.7070955 0.7071182 0 -0.7070955 -0.7071182 0 -0.7070955 0.7071182 -1 0 0 -1 0 0 1 0 0 0.6785936 0.6785936 -0.2811078 0.6786534 0.6785424 0.2810866 0.678597 0.678597 0.2810913 1 0 0 0.6786493 0.281087 -0.6785465 1 0 0 1 0 0 1 0 0 0.67865 0.6785517 -0.2810725 1 0 0 0.6785921 -0.2811007 -0.678598 1 0 0 0.6785939 0.2810915 -0.6785998 1 0 0 0.6786432 -0.6785512 -0.2810903 1 0 0 0.6786407 -0.2810704 -0.678562 0.6785288 -0.6786489 0.2811307 0.6785353 -0.6786554 -0.2810992 1 0 0 0.6786436 -0.2810825 0.678554 1 0 0 1 0 0 0.6786366 -0.6785688 0.2810633 1 0 0 0.6785906 0.2811077 0.6785966 1 0 0 0.678595 -0.2810865 0.6786009 0.6786459 0.2810732 0.6785556 0 -1 0 0 -0.4999716 0.8660417 0 -1 0 0 -0.4999716 -0.8660417 0 -0.4999716 -0.8660417 0 0.4999716 -0.8660417 0 0.4999716 -0.8660417 0 1 0 0 1 0 0 0.4999716 0.8660417 0 0.4999716 0.8660417 0 -0.4999716 0.8660417 0 0.9238761 0.3826918 0 0.9238761 0.3826918 0 0.9238761 -0.3826918 0 0.3826907 0.9238765 0 0.3826907 0.9238765 0 -0.3826842 0.9238791 0 -0.3826842 0.9238791 0 -0.923884 0.3826729 0 -0.923884 0.3826729 0 -0.923884 -0.3826729 0 -0.923884 -0.3826729 -0.3571679 -0.8629447 0.3574318 0 0.9238761 -0.3826918 -0.3574859 0.862825 -0.357403 0 0.3826907 -0.9238765 0 0.3826907 -0.9238765 0 -0.3826842 -0.9238791 0 -0.3826842 -0.9238791 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.7070941 -0.7071194 -1 0 0 0 0.7071046 0.7071089 -1 0 0 0 0.7071046 0.7071089 -1 0 0 0 -0.7070855 -0.707128 -1 0 0 -1 0 0 0 0.7070941 -0.7071194 -1 0 0 0 -0.707096 0.7071175 -1 0 0 0 -0.7070855 -0.707128 -1 0 0 -1 0 0 0 -0.707096 0.7071175 -0.9126084 0.377715 0.1564518 -0.6786475 0.6785579 -0.2810636 -0.9042969 0.374275 -0.2053422 -1 0 0 -0.6786722 0.2810602 0.6785346 -0.6786821 0.6785265 0.2810557 -0.3506426 0.8463072 0.4010162 -0.6786037 -0.2810783 0.6785956 -0.6786047 0.2810736 0.6785966 -0.6786637 -0.6785445 0.2810571 -0.6786616 -0.2810488 0.67855 -0.9126084 -0.377715 -0.1564523 -0.9042974 -0.3742752 0.205339 -1 0 0 -0.6785828 -0.2810878 -0.6786125 -0.6786292 -0.678575 -0.2810663 -0.3503242 -0.8464101 -0.4010771 -0.6786033 0.2810867 -0.6785926 -0.678604 -0.2810836 -0.6785932 -0.6785918 0.2810925 -0.6786016 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.707107 -0.7071065 0 0.7071197 0.7070938 0 0.7071197 0.7070938 0 -0.7070966 -0.7071169 0 0.707107 -0.7071065 0 -0.7071093 0.7071042 0 -0.7070966 -0.7071169 0 -0.7071093 0.7071042 -1 0 0 -1 0 0 1 0 0 0.6785935 0.6785935 -0.2811082 0.6786509 0.6785474 0.281081 0.6785982 0.6785982 0.2810854 1 0 0 0.6786482 0.2810874 -0.6785473 1 0 0 1 0 0 1 0 0 0.6786497 0.6785519 -0.281073 1 0 0 0.6785918 -0.2811008 -0.6785981 1 0 0 0.6785936 0.2810919 -0.6786 1 0 0 0.6786429 -0.6785514 -0.2810907 1 0 0 0.6786397 -0.281071 -0.6785627 0.6785302 -0.6786503 0.2811237 0.6785352 -0.6786553 -0.2810996 1 0 0 0.6786411 -0.2810844 0.6785557 1 0 0 1 0 0 0.6786343 -0.6785732 0.2810587 1 0 0 0.6785287 0.2811306 0.6786488 1 0 0 0.6785365 -0.281093 0.6786566 0.67864 0.2810611 0.6785665 0 -1 0 0 -0.5000084 0.8660206 0 -1 0 0 -0.4999818 -0.866036 0 -0.4999818 -0.866036 0 0.4999818 -0.866036 0 0.4999818 -0.866036 0 1 0 0 1 0 0 0.5000084 0.8660206 0 0.5000084 0.8660206 0 -0.5000084 0.8660206 0 0.9238791 0.3826844 0 0.9238791 0.3826844 0 0.9238758 -0.3826923 0 0.3826715 0.9238844 0 0.3826715 0.9238844 0 -0.3826651 0.9238871 0 -0.3826651 0.9238871 0 -0.923887 0.3826653 0 -0.923887 0.3826653 0 -0.9238836 -0.3826733 0 -0.9238836 -0.3826733 -0.357169 -0.8629472 0.3574247 0 0.9238758 -0.3826923 -0.3574858 0.8628247 -0.3574035 0 0.3826911 -0.9238764 0 0.3826911 -0.9238764 0 -0.3826847 -0.923879 0 -0.3826847 -0.923879 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7070941 0.7071194 1 0 0 0 0.7071046 -0.7071089 1 0 0 0 0.7071046 -0.7071089 1 0 0 0 -0.7070855 0.707128 1 0 0 1 0 0 0 0.7070941 0.7071194 1 0 0 0 -0.707096 -0.7071175 1 0 0 0 -0.7070855 0.707128 1 0 0 1 0 0 0 -0.707096 -0.7071175 0.9126084 0.377715 -0.1564518 0.6786475 0.6785579 0.2810636 0.9042969 0.374275 0.2053422 1 0 0 0.6786722 0.2810602 -0.6785346 0.6786821 0.6785265 -0.2810557 0.3506426 0.8463072 -0.4010162 0.6786037 -0.2810783 -0.6785956 0.6786047 0.2810736 -0.6785966 0.6786637 -0.6785445 -0.2810571 0.6786616 -0.2810488 -0.67855 0.9126084 -0.377715 0.1564523 0.9042974 -0.3742752 -0.205339 1 0 0 0.6785828 -0.2810878 0.6786125 0.6786292 -0.678575 0.2810663 0.3503242 -0.8464101 0.4010771 0.6786033 0.2810867 0.6785926 0.678604 -0.2810836 0.6785932 0.6785918 0.2810925 0.6786016 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.707107 0.7071065 0 0.7071197 -0.7070938 0 0.7071197 -0.7070938 0 -0.7070966 0.7071169 0 0.707107 0.7071065 0 -0.7071093 -0.7071042 0 -0.7070966 0.7071169 0 -0.7071093 -0.7071042 1 0 0 1 0 0 -1 0 0 -0.6785935 0.6785935 0.2811082 -0.6786509 0.6785474 -0.281081 -0.6785982 0.6785982 -0.2810854 -1 0 0 -0.6786482 0.2810874 0.6785473 -1 0 0 -1 0 0 -1 0 0 -0.6786497 0.6785519 0.281073 -1 0 0 -0.6785918 -0.2811008 0.6785981 -1 0 0 -0.6785936 0.2810919 0.6786 -1 0 0 -0.6786429 -0.6785514 0.2810907 -1 0 0 -0.6786397 -0.281071 0.6785627 -0.6785302 -0.6786503 -0.2811237 -0.6785352 -0.6786553 0.2810996 -1 0 0 -0.6786411 -0.2810844 -0.6785557 -1 0 0 -1 0 0 -0.6786343 -0.6785732 -0.2810587 -1 0 0 -0.6785287 0.2811306 -0.6786488 -1 0 0 -0.6785365 -0.281093 -0.6786566 -0.67864 0.2810611 -0.6785665 0 -1 0 0 -0.5000084 -0.8660206 0 -1 0 0 -0.4999818 0.866036 0 -0.4999818 0.866036 0 0.4999818 0.866036 0 0.4999818 0.866036 0 1 0 0 1 0 0 0.5000084 -0.8660206 0 0.5000084 -0.8660206 0 -0.5000084 -0.8660206 0 0.9238791 -0.3826844 0 0.9238791 -0.3826844 0 0.9238758 0.3826923 0 0.3826715 -0.9238844 0 0.3826715 -0.9238844 0 -0.3826651 -0.9238871 0 -0.3826651 -0.9238871 0 -0.923887 -0.3826653 0 -0.923887 -0.3826653 0 -0.9238836 0.3826733 0 -0.9238836 0.3826733 0.357169 -0.8629472 -0.3574247 0 0.9238758 0.3826923 0.3574858 0.8628247 0.3574035 0 0.3826911 0.9238764 0 0.3826911 0.9238764 0 -0.3826847 0.923879 0 -0.3826847 0.923879 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0.4895644 -0.8719671 0 0 0 1 0 0 1 0.9999277 -0.01202499 0 0 0 1 0 0 1 0.9999277 -0.01202499 0 -0.5103673 -0.8599566 0 0.4895644 -0.8719671 0 0 0 1 -0.9999277 0.01202499 0 0 0 1 -0.5103673 -0.8599566 0 0 0 1 -0.4895641 0.8719673 0 0 0 1 0 0 1 0 0 1 -0.9999277 0.01202499 0 0.510367 0.8599567 0 -0.4895641 0.8719673 0 0 0 1 0.510367 0.8599567 0 -0.8599615 0.5103588 0 0.01202076 0.9999278 0 -0.8599615 0.5103588 0 -0.871968 -0.489563 0 -0.871968 -0.489563 0 -0.01202076 -0.9999278 0 -0.01202076 -0.9999278 0 0.8599508 -0.5103769 0 0.8599508 -0.5103769 0 0.8719779 0.4895454 0 0.8719779 0.4895454 0 0.01202076 0.9999278 0 -0.3700743 0.6591429 -0.6546568 -0.7270171 0.1046232 -0.6786015 -0.7937534 0.009545564 -0.6081648 0.4118099 0.6938902 -0.5907023 -0.4994414 0.6673239 -0.5524827 0.09779018 0.6795538 -0.7270789 0.7937534 -0.009545564 -0.6081648 0.5496604 0.4113665 -0.7270839 0.7270171 -0.1046232 -0.6786015 0.3700745 -0.6591427 -0.654657 -0.5991923 0.8006052 0 -0.968966 -0.2471941 0 -0.8798136 0.1266118 -0.4581456 0.1266084 0.8798148 -0.4581445 0.8006139 0.5991805 0 -0.2471963 0.9689654 0 0.8798134 -0.1266118 -0.4581462 0.9689663 0.2471932 0 0.5991876 -0.8006086 0 0.4994352 -0.6673237 -0.5524886 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2471926 -0.9689663 0 -0.1266087 -0.8798166 -0.4581408 0 0 -1 0.2471936 -0.9689661 0 0.9689663 0.2471928 0 0.9689663 0.2471928 0 -0.9689666 -0.2471918 0 0.2471936 -0.9689661 0 -0.2471899 0.968967 0 -0.9689666 -0.2471918 0 -0.2471899 0.968967 0 -0.8006113 -0.599184 0 0 0 -1 0 0 -1 -0.411809 -0.6938882 -0.590705 -0.09778982 -0.6795516 -0.7270811 -0.5496584 -0.4113688 -0.7270841 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8719671 0.4895644 0 0 0 1 0 0 1 0.01202499 0.9999277 0 0 0 1 0 0 1 0.01202499 0.9999277 0 0.8599566 -0.5103673 0 0.8719671 0.4895644 0 0 0 1 -0.01202499 -0.9999277 0 0 0 1 0.8599566 -0.5103673 0 0 0 1 -0.8719673 -0.4895641 0 0 0 1 0 0 1 0 0 1 -0.01202499 -0.9999277 0 -0.8599567 0.510367 0 -0.8719673 -0.4895641 0 0 0 1 -0.8599567 0.510367 0 -0.5103588 -0.8599615 0 -0.9999278 0.01202076 0 -0.5103588 -0.8599615 0 0.489563 -0.871968 0 0.489563 -0.871968 0 0.9999278 -0.01202076 0 0.9999278 -0.01202076 0 0.5103769 0.8599508 0 0.5103769 0.8599508 0 -0.4895454 0.8719779 0 -0.4895454 0.8719779 0 -0.9999278 0.01202076 0 -0.6591429 -0.3700743 -0.6546568 -0.1046232 -0.7270171 -0.6786015 -0.009545564 -0.7937534 -0.6081648 -0.6938902 0.4118099 -0.5907023 -0.6673239 -0.4994414 -0.5524827 -0.6795538 0.09779018 -0.7270789 0.009545564 0.7937534 -0.6081648 -0.4113665 0.5496604 -0.7270839 0.1046232 0.7270171 -0.6786015 0.6591427 0.3700745 -0.654657 -0.8006052 -0.5991923 0 0.2471941 -0.968966 0 -0.1266118 -0.8798136 -0.4581456 -0.8798148 0.1266084 -0.4581445 -0.5991805 0.8006139 0 -0.9689654 -0.2471963 0 0.1266118 0.8798134 -0.4581462 -0.2471932 0.9689663 0 0.8006086 0.5991876 0 0.6673237 0.4994352 -0.5524886 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9689663 0.2471926 0 0.8798166 -0.1266087 -0.4581408 0 0 -1 0.9689661 0.2471936 0 -0.2471928 0.9689663 0 -0.2471928 0.9689663 0 0.2471918 -0.9689666 0 0.9689661 0.2471936 0 -0.968967 -0.2471899 0 0.2471918 -0.9689666 0 -0.968967 -0.2471899 0 0.599184 -0.8006113 0 0 0 -1 0 0 -1 0.6938882 -0.411809 -0.590705 0.6795516 -0.09778982 -0.7270811 0.4113688 -0.5496584 -0.7270841 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.4895644 0.8719671 0 0 0 1 0 0 1 -0.9999277 0.01202499 0 0 0 1 0 0 1 -0.9999277 0.01202499 0 0.5103673 0.8599566 0 -0.4895644 0.8719671 0 0 0 1 0.9999277 -0.01202499 0 0 0 1 0.5103673 0.8599566 0 0 0 1 0.4895641 -0.8719673 0 0 0 1 0 0 1 0 0 1 0.9999277 -0.01202499 0 -0.510367 -0.8599567 0 0.4895641 -0.8719673 0 0 0 1 -0.510367 -0.8599567 0 0.8599615 -0.5103588 0 -0.01202076 -0.9999278 0 0.8599615 -0.5103588 0 0.871968 0.489563 0 0.871968 0.489563 0 0.01202076 0.9999278 0 0.01202076 0.9999278 0 -0.8599508 0.5103769 0 -0.8599508 0.5103769 0 -0.8719779 -0.4895454 0 -0.8719779 -0.4895454 0 -0.01202076 -0.9999278 0 0.3700743 -0.6591429 -0.6546568 0.7270171 -0.1046232 -0.6786015 0.7937534 -0.009545564 -0.6081648 -0.4118099 -0.6938902 -0.5907023 0.4994414 -0.6673239 -0.5524827 -0.09779018 -0.6795538 -0.7270789 -0.7937534 0.009545564 -0.6081648 -0.5496604 -0.4113665 -0.7270839 -0.7270171 0.1046232 -0.6786015 -0.3700745 0.6591427 -0.654657 0.5991923 -0.8006052 0 0.968966 0.2471941 0 0.8798136 -0.1266118 -0.4581456 -0.1266084 -0.8798148 -0.4581445 -0.8006139 -0.5991805 0 0.2471963 -0.9689654 0 -0.8798134 0.1266118 -0.4581462 -0.9689663 -0.2471932 0 -0.5991876 0.8006086 0 -0.4994352 0.6673237 -0.5524886 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2471926 0.9689663 0 0.1266087 0.8798166 -0.4581408 0 0 -1 -0.2471936 0.9689661 0 -0.9689663 -0.2471928 0 -0.9689663 -0.2471928 0 0.9689666 0.2471918 0 -0.2471936 0.9689661 0 0.2471899 -0.968967 0 0.9689666 0.2471918 0 0.2471899 -0.968967 0 0.8006113 0.599184 0 0 0 -1 0 0 -1 0.411809 0.6938882 -0.590705 0.09778982 0.6795516 -0.7270811 0.5496584 0.4113688 -0.7270841 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8719671 -0.4895644 0 0 0 1 0 0 1 -0.01202499 -0.9999277 0 0 0 1 0 0 1 -0.01202499 -0.9999277 0 -0.8599566 0.5103673 0 -0.8719671 -0.4895644 0 0 0 1 0.01202499 0.9999277 0 0 0 1 -0.8599566 0.5103673 0 0 0 1 0.8719673 0.4895641 0 0 0 1 0 0 1 0 0 1 0.01202499 0.9999277 0 0.8599567 -0.510367 0 0.8719673 0.4895641 0 0 0 1 0.8599567 -0.510367 0 0.5103588 0.8599615 0 0.9999278 -0.01202076 0 0.5103588 0.8599615 0 -0.489563 0.871968 0 -0.489563 0.871968 0 -0.9999278 0.01202076 0 -0.9999278 0.01202076 0 -0.5103769 -0.8599508 0 -0.5103769 -0.8599508 0 0.4895454 -0.8719779 0 0.4895454 -0.8719779 0 0.9999278 -0.01202076 0 0.6591429 0.3700743 -0.6546568 0.1046232 0.7270171 -0.6786015 0.009545564 0.7937534 -0.6081648 0.6938902 -0.4118099 -0.5907023 0.6673239 0.4994414 -0.5524827 0.6795538 -0.09779018 -0.7270789 -0.009545564 -0.7937534 -0.6081648 0.4113665 -0.5496604 -0.7270839 -0.1046232 -0.7270171 -0.6786015 -0.6591427 -0.3700745 -0.654657 0.8006052 0.5991923 0 -0.2471941 0.968966 0 0.1266118 0.8798136 -0.4581456 0.8798148 -0.1266084 -0.4581445 0.5991805 -0.8006139 0 0.9689654 0.2471963 0 -0.1266118 -0.8798134 -0.4581462 0.2471932 -0.9689663 0 -0.8006086 -0.5991876 0 -0.6673237 -0.4994352 -0.5524886 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9689663 -0.2471926 0 -0.8798166 0.1266087 -0.4581408 0 0 -1 -0.9689661 -0.2471936 0 0.2471928 -0.9689663 0 0.2471928 -0.9689663 0 -0.2471918 0.9689666 0 -0.9689661 -0.2471936 0 0.968967 0.2471899 0 -0.2471918 0.9689666 0 0.968967 0.2471899 0 -0.599184 0.8006113 0 0 0 -1 0 0 -1 -0.6938882 0.411809 -0.590705 -0.6795516 0.09778982 -0.7270811 -0.4113688 0.5496584 -0.7270841 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.1955826 -0.7302065 0.6546342 0 0 1 -0.7302415 -0.1955793 0.6545961 0 0 1 0 0 1 0 0 1 -0.7301791 -0.1956315 0.6546502 0 0 1 0.5345043 -0.534505 0.6546827 -0.19567 -0.7302386 0.6545723 0 0 1 0.730242 0.1955767 0.6545963 0 0 1 0.5345074 -0.5344878 0.6546945 0 0 1 0.1955731 0.7302016 0.6546427 0 0 1 0 0 1 0 0 1 0.7301762 0.1956318 0.6546534 0 0 1 -0.5345047 0.5345034 0.6546838 0 0 1 0.1956695 0.7302369 0.6545743 0 0 1 -0.5345068 0.5344911 0.6546922 0 0 1 -0.7302065 0.1955826 0.6546342 0 0 1 -0.1955793 0.7302415 0.6545961 0 0 1 -0.1956315 0.7301791 0.6546502 0 0 1 -0.534505 -0.5345043 0.6546827 -0.7302386 0.19567 0.6545723 0 0 1 0.1955767 -0.730242 0.6545963 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.5344878 -0.5345074 0.6546945 0 0 1 0.7302016 -0.1955731 0.6546427 0 0 1 0.1956318 -0.7301762 0.6546534 0 0 1 0.5345034 0.5345047 0.6546838 0.7302369 -0.1956695 0.6545743 0 0 1 0 0 1 0.5344911 0.5345068 0.6546922 0 0 1 0.1955826 0.7302065 0.6546342 0 0 1 0.7302415 0.1955793 0.6545961 0 0 1 0 0 1 0 0 1 0 0 1 0.7301791 0.1956315 0.6546502 0 0 1 -0.5345043 0.534505 0.6546827 0 0 1 0.19567 0.7302386 0.6545723 0 0 1 -0.730242 -0.1955767 0.6545963 -0.5345074 0.5344878 0.6546945 0 0 1 -0.1955731 -0.7302016 0.6546427 0 0 1 0 0 1 0 0 1 -0.7301762 -0.1956318 0.6546534 0 0 1 0.5345047 -0.5345034 0.6546838 0 0 1 -0.1956695 -0.7302369 0.6545743 0 0 1 0.5345068 -0.5344911 0.6546922 0 0 1 0.7302065 -0.1955826 0.6546342 0 0 1 0.1955793 -0.7302415 0.6545961 0 0 1 0.1956315 -0.7301791 0.6546502 0 0 1 0.534505 0.5345043 0.6546827 0.7302386 -0.19567 0.6545723 0 0 1 -0.1955767 0.730242 0.6545963 0 0 1 0 0 1 0 0 1 0.5344878 0.5345074 0.6546945 0 0 1 -0.7302016 0.1955731 0.6546427 0 0 1 -0.1956318 0.7301762 0.6546534 0 0 1 -0.5345034 -0.5345047 0.6546838 -0.7302369 0.1956695 0.6545743 0 0 1 -0.5344911 -0.5345068 0.6546922 -0.3603302 0.9328249 0 0 0 1 -0.220605 0.9228188 -0.3158147 -0.39744 0.9176282 0 -0.6167111 0.7871896 0 -0.3603302 0.9328249 0 -0.3952845 0.9185587 0 -0.6167111 0.7871896 0 0.3952363 0.9185795 -1.30812e-5 -0.3952823 0.9185597 -1.51845e-6 0 0 1 0.6167111 0.7871896 0 0 0 1 0.3952173 0.9185877 0 0 0 1 0.3603302 0.9328249 0 0 0 1 0.6167111 0.7871896 0 0 0 1 0.3974503 0.9176237 0 0 0 1 0.3603302 0.9328249 0 0.7071021 0.7070729 0.007390677 0.4365694 0.8988473 0.03847908 0.5228154 0.852434 0.004532277 0.2868415 0.9350391 0.2083837 0.5453581 0.8382028 7.58494e-4 0.5562481 0.8310163 0 0.5637239 0.8259633 -3.11457e-4 0.9173588 0.3973132 0.02439224 0.6558513 0.7522395 0.06320494 0.6453186 0.7605009 0.07212734 0.7537081 0.6571317 0.01010048 0.8061439 0.5917184 0.001113355 0.8271868 0.561927 -3.98149e-4 0.8382065 0.5453524 7.55607e-4 0.9328249 0.3603302 0 0.956025 0.2932855 0 0.8929084 0.4336752 0.1209975 0.5464867 0.607331 0.5766293 0.7871896 0.6167111 0 0.9328249 0.3603302 0 0 0 1 0.91856 0.3952816 0 0.7871896 0.6167111 0 0.91856 -0.3952816 0 0 0 1 0.91856 0.3952816 0 0.7871896 -0.6167111 0 0.91856 -0.3952816 0 0.9328249 -0.3603302 0 0.7871896 -0.6167111 0 0 0 1 0.917627 -0.3974426 0 0.9328249 -0.3603302 0 0 0 1 0.7071046 -0.7071089 0 0 0 1 0.917627 -0.3974426 0 0 0 1 0.3974422 -0.9176272 0 0 0 1 0.7071046 -0.7071089 0 0.3603302 -0.9328249 0 0.3974422 -0.9176272 0 0.6167111 -0.7871896 0 0.3603302 -0.9328249 0 0.3952816 -0.91856 0 0.6167111 -0.7871896 0 -0.3952816 -0.91856 0 0.3952816 -0.91856 0 0 0 1 -0.6167111 -0.7871896 0 0 0 1 -0.3952816 -0.91856 0 0 0 1 -0.3603302 -0.9328249 0 0 0 1 -0.6167111 -0.7871896 0 0 0 1 -0.3974391 -0.9176285 0 0 0 1 -0.3603302 -0.9328249 0 -0.7070895 -0.7070852 0.007399618 -0.4365659 -0.8988497 0.03846174 -0.5228128 -0.8524354 0.004524886 -0.2868428 -0.9350457 0.2083523 -0.5453504 -0.8382079 7.546e-4 -0.5562005 -0.8310481 0 -0.5637106 -0.8259723 -3.12425e-4 -0.9173554 -0.3973203 0.02440518 -0.6558516 -0.7522399 0.0631957 -0.6453222 -0.760499 0.07211512 -0.7537081 -0.6571317 0.01009589 -0.8061567 -0.591701 0.001109302 -0.827183 -0.5619325 -3.99348e-4 -0.8382059 -0.5453534 7.56087e-4 -0.9328249 -0.3603302 0 -0.9560258 -0.2932826 0 -0.8929057 -0.4336788 0.1210044 -0.5464867 -0.607331 0.5766293 -0.7871896 -0.6167111 0 -0.9328249 -0.3603302 0 0 0 1 -0.91856 -0.3952816 0 -0.7871896 -0.6167111 0 -0.91856 0.3952816 0 -0.91856 -0.3952816 0 -0.7871896 0.6167111 0 -0.91856 0.3952816 0 -0.9328249 0.3603302 0 -0.7871896 0.6167111 0 0 0 1 -0.9723482 0.2335362 0 0 0 1 0 0 1 -0.9328249 0.3603302 0 0 0 1 -0.9647079 0.2632781 -0.0048303 -0.9922381 -0.1243529 0 -0.9165041 0.3969708 -0.04934018 -0.9027143 0.4301559 0.008530616 -0.9003182 0.4352321 0 -0.5918135 -0.806075 0 -0.9922381 -0.1243529 0 -0.2249453 -0.9743714 0 -0.2249453 -0.9743714 0 -0.5918135 -0.806075 0 -0.02513539 -0.9996841 0 0.3691139 -0.9293817 -0.002144277 0.1496008 -0.9886097 0.01644533 0.643898 0.01639544 -0.7649357 0.6418326 -0.09505754 0.7609304 0.6915273 -0.7223458 0.002569615 0.5484056 0.3518551 -0.7585837 0.5593369 0.2249206 0.7978427 0.8863148 0.1011315 0.4519056 0.4361201 0.890547 -0.1293261 0.2453566 0.424968 0.8713223 0.7331914 0.5585791 0.3878397 -0.08412325 0.9354856 -0.3432054 1.69707e-6 0.4423662 0.8968346 -0.5148722 0.6991993 -0.496011 -0.202929 0.3514851 0.9139354 -0.7396204 0.3049989 -0.5999478 -0.3275918 0.1891342 0.9256953 -0.7334128 -0.1137828 -0.6701936 -0.3571091 -1.37261e-6 0.9340627 -0.5339243 -0.4487995 -0.7165918 -0.2952891 -0.1704862 0.9400739 -0.201466 -0.5942798 -0.778616 -0.205165 -0.323427 0.9237437 0 0 1 0.169025 -0.7624931 -0.6245278 -0.04972493 -0.3959658 0.9169179 0.7604053 -0.6494489 4.37795e-6 0.7604005 -0.6494544 3.12863e-6 0.1731778 -0.5335191 0.8278689 0.9976897 -0.06793594 0 0.760403 -0.6494516 0 0 0 1 0.3536078 0.9353938 0 0.9976897 -0.06793594 0 -0.2503523 0.9291087 -0.2721778 -0.4234315 0.9059281 0 0.3536078 0.9353938 0 0 0 -1 -0.9543125 -0.2247965 0.1968607 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2723598 -0.2723599 -0.9228436 -0.9235599 -0.3825017 -0.02701097 -0.8739166 -0.4860753 6.96948e-4 0 0 -1 -0.9426196 0.2679775 0.1991387 0 0 -1 0 0 -1 0 0 -1 -0.9913033 0.1304529 -0.01731008 -0.9912301 -0.1305459 0.02050638 0 0 -1 -0.692846 0.6928601 0.1997736 0 0 -1 -0.7933096 0.6087878 -0.006111741 -0.9238396 0.3827269 0.006370842 0 0 -1 -0.2734242 0.9618214 0.0117833 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6087879 0.7933095 -0.006092369 0 0 -1 0.2291495 0.9727708 0.03474837 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.130453 0.9913035 -0.01730138 -0.3583552 0.8650104 0.3511958 0.2718599 -0.2718598 -0.9231383 0.2722483 -0.2725427 -0.9228224 0.3825017 0.9235599 -0.02701097 0.4860753 0.8739166 6.9695e-4 0.1236116 0.9385784 0.3221656 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2720378 -0.2717427 -0.9231205 -0.9659323 -0.2587952 0 -0.2588229 -0.9659247 0 -0.2588229 -0.9659247 0 -0.7071171 0.7070963 0 -0.9659323 -0.2587952 0 0.2588229 0.9659247 0 -0.7071171 0.7070963 0 0.965932 0.2587964 0 0.2588229 0.9659247 0 0.7071198 -0.7070937 0 0.965932 0.2587964 0 0.7071198 -0.7070937 0 0.2587952 -0.9659323 0 0.9659247 -0.2588229 0 0.9659247 -0.2588229 0 -0.7070963 -0.7071171 0 0.2587952 -0.9659323 0 -0.9659247 0.2588229 0 -0.7070963 -0.7071171 0 -0.2587964 0.965932 0 -0.9659247 0.2588229 0 0.7070937 0.7071198 0 -0.2587964 0.965932 0 0.7070937 0.7071198 0 0 0 -1 -0.2587952 0.9659323 0 0 0 -1 -0.9659247 0.2588229 0 0 0 -1 0 0 -1 0 0 -1 -0.9659247 0.2588229 0 0 0 -1 0.7070963 0.7071171 0 -0.2587952 0.9659323 0 0 0 -1 0.9659247 -0.2588229 0 0 0 -1 0.7070963 0.7071171 0 0 0 -1 0.2587964 -0.965932 0 0 0 -1 0.9659247 -0.2588229 0 0 0 -1 -0.7070937 -0.7071198 0 0 0 -1 0 0 -1 0.2587964 -0.965932 0 -0.7070937 -0.7071198 0 0 0 -1 0.9659323 0.2587952 0 0 0 -1 0.2588229 0.9659247 0 0 0 -1 0.2588229 0.9659247 0 0 0 -1 0.7071171 -0.7070963 0 0.9659323 0.2587952 0 0 0 -1 -0.2588229 -0.9659247 0 0 0 -1 0 0 -1 0.7071171 -0.7070963 0 0 0 -1 -0.965932 -0.2587964 0 -0.2588229 -0.9659247 0 0 0 -1 -0.7071198 0.7070937 0 0 0 -1 -0.965932 -0.2587964 0 0 0 -1 0 0 -1 -0.7071198 0.7070937 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7070718 0.7071009 -0.007601678 -0.4314281 0.9021219 0.006781399 -0.7056168 0.7085319 -0.009355008 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2723529 0.2723529 -0.9228477 -0.2720353 0.2717443 -0.9231207 0.9543127 0.2248014 0.1968544 0.8472636 0.4891426 -0.207084 0.8482843 0.4822381 -0.2187699 0.8691235 0.494085 -0.02245813 0.9426227 -0.2679664 0.1991393 0.977735 2.40966e-5 -0.2098439 0.6928601 -0.692846 0.1997736 0.846475 -0.4887404 -0.2112179 0.2679775 -0.9426196 0.1991387 0.4887397 -0.8464739 -0.2112236 0 0 -1 -0.2247965 -0.9543125 0.1968607 0 0 -1 0 0 -1 -2.40966e-5 -0.977735 -0.2098439 -0.2718599 0.2718598 -0.9231383 -0.272243 0.2725334 -0.9228269 -0.578481 -0.7144843 -0.3935378 0 0 -1 -0.5000106 0.500003 -0.7070971 0 0 -1 0 0 -1 0.5008926 -0.4992511 -0.7070042 0.4999973 -0.5000049 -0.7071052 0 0 -1 0.8258152 0.563941 0 0.7071068 -0.7071068 0 0.4999971 -0.4999927 -0.707114 0.4999997 -0.4999997 -0.7071072 0.6538082 -0.6538082 -0.3808801 0.7071068 -0.7071068 0 0.6538599 -0.6541342 -0.3802312 -0.6539456 0.653662 -0.3808951 -0.7071068 0.7071068 0 -0.6540089 0.6540089 -0.3801903 -0.4999945 0.4999972 -0.7071127 -0.4999852 0.499997 -0.7071194 -0.5000039 0.5000039 -0.7071012 -0.7071068 0.7071068 0 0 0 -1 0.5000004 -0.4999929 -0.7071116 0 0 -1 0 0 -1 -0.5007058 0.4994075 -0.7070261 -0.4999973 0.5000049 -0.7071052 0 0 -1 -0.825807 -0.5639526 0 -0.7071068 0.7071068 0 -0.4999936 0.4999936 -0.7071158 -0.4999973 0.5000036 -0.7071061 -0.6538082 0.6538082 -0.3808801 -0.7071068 0.7071068 0 -0.6538617 0.6541457 -0.3802082 0.6539409 -0.653667 -0.3808947 0.7071068 -0.7071068 0 0.654002 -0.654002 -0.380214 0.5000131 -0.4999974 -0.7070994 0.4999895 -0.4999971 -0.7071164 0.5000016 -0.5000016 -0.7071046 0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660243 -0.500002 2.9047e-4 -0.8660412 -0.4999728 0 -0.535663 -0.8444319 0 -1 -3.83824e-6 -3.31158e-5 -1 0 -6.62274e-5 -0.8660264 0.4999982 0 -0.8660411 0.4999728 2.52993e-4 -0.4999982 0.8660264 2.52788e-4 -0.4999728 0.8660412 0 3.83824e-6 1 -6.62247e-5 0 1 -3.31137e-5 0.500002 0.8660243 0 0.4999728 0.8660411 2.90213e-4 0.8660412 0.4999728 0 0.5359241 0.4082917 0.7389745 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4784135 -0.8286966 0.2904865 0 0 -1 0 0 -1 0.859034 -0.5119185 0 0.7859913 -0.6182374 0 0.8605349 -0.4967941 0.1125851 0.9864889 -0.1542381 -0.05522835 0.5070269 -0.07927393 0.858277 0.8992635 -0.4360131 0.03489726 0.8858305 -0.4563879 0.08375269 0.6611722 -0.7502342 0 0.623672 -0.7794811 -0.0586723 0.760376 -0.6494832 0 0.2902997 -0.8890866 -0.3539082 0.1670791 -0.5117051 0.8427588 0.4349627 -0.7534322 0.4930999 -0.1209716 -0.963312 -0.2395743 0 -0.8972209 0.4415821 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9983177 0 0.05798053 0 0 -1 0.698903 0.0797472 0.7107565 0 0 -1 0.9274044 0.372928 -0.02908641 -0.4999806 -0.8660365 0 -0.7933757 -0.6087126 -0.004912436 -0.7612789 -0.6484246 0 -0.8076118 -0.5892086 -0.0244233 -0.8067969 -0.589555 -0.03877609 -0.7857657 -0.6185243 0 -0.82306 -0.5667933 -0.03629833 -0.5363612 -0.7713577 -0.3425261 -0.4359265 -0.8958285 -0.08636736 -0.5539501 -0.6238363 -0.5513325 0.6087199 0.7933853 0 0.7477491 0.6639814 0 0.8177974 0.5686528 -0.0885533 0.6087015 0.7933993 3.82247e-5 0.6482467 0.760946 -0.02715617 0.5764349 0.817101 -0.008283257 0.5962941 0.8026807 -0.01170688 0.514756 0.8573365 -5.71556e-4 0 0 -1 0 0 -1 -0.7612267 -0.6484858 3.84322e-5 -0.6484684 -0.7612063 0.007336318 -0.6639814 -0.7477491 3.8483e-5 -0.5744699 -0.8185052 -0.005793988 -0.5708889 -0.8210133 -0.004780769 -0.5375899 -0.8432064 0 -0.53759 -0.8432065 0 -0.5135259 -0.8580741 0 0.7477127 0.6639491 0.009870409 0.7612267 0.6484858 3.84306e-5 0.8210227 0.5708954 0 0.8210228 0.5708955 0 0.8364042 0.5479661 -0.01269668 0.8193001 0.5733479 -0.004410326 0.8580741 0.5135259 0 0.5376255 0.8431837 0 0 -1 0 -0.9659169 0 0.2588523 0 -1 0 -0.9659169 0 -0.2588527 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9659169 0 -0.2588527 0 -1 0 -0.707107 0 0.7071066 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9659169 0 0.2588523 0 -1 0 -0.258849 0 0.9659178 0 -1 0 0 -1 0 -0.707107 0 0.7071066 0 -1 0 0.2588494 0 0.9659177 0 -1 0 -0.258849 0 0.9659178 0 -1 0 0.7071068 0 0.7071069 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2588494 0 0.9659177 0 -1 0 0.9659172 0 0.2588516 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071068 0 0.7071069 0 -1 0 0.965917 0 -0.2588519 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9659172 0 0.2588516 0 -1 0 0.7071081 0 -0.7071053 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.965917 0 -0.2588519 0 -1 0 0.2588494 0 -0.9659177 0 -1 0 0 -1 0 0.7071081 0 -0.7071053 0 -1 0 -0.258849 0 -0.9659178 0 -1 0 0.2588494 0 -0.9659177 0 -1 0 -0.7071084 0 -0.7071051 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.258849 0 -0.9659178 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071084 0 -0.7071051 0 -1 0 -0.8660281 0 -0.4999952 0 -1 0 -0.8660273 0 0.4999968 0 -1 0 0 -1 0 -0.8660273 0 0.4999968 0 -1 0 0 0 -1 0 -1 0 -0.8660281 0 -0.4999952 0.8660262 0 -0.4999985 0 0 -1 0.8660254 0 0.5000001 0.8660262 0 -0.4999985 0 0 1 0.8660254 0 0.5000001 0 -1 0 0 0 1 0 -1 0 -0.9914472 0 -0.130509 0 -1 0 -0.6087694 0 0.7933473 0 -1 0 -0.6087694 0 0.7933473 0 -1 0 -0.3826579 0 -0.9238901 -0.9914472 0 -0.130509 0 -1 0 0.6087687 0 -0.7933478 0 -1 0 -0.3826579 0 -0.9238901 0.9914429 0 0.1305415 0.6087687 0 -0.7933478 0.3826926 0 0.9238758 0.9914429 0 0.1305415 0.3826926 0 0.9238758 0 -1 0 -0.9659245 0 0.2588244 0 -1 0 -0.258803 0 0.9659301 0 -1 0 -0.258803 0 0.9659301 0 -1 0 -0.7070998 0 -0.7071139 -0.9659245 0 0.2588244 0 -1 0 0.2588239 0 -0.9659246 0 -1 0 -0.7070998 0 -0.7071139 0.9659296 0 -0.2588053 0.2588239 0 -0.9659246 0.7070926 0 0.707121 0.9659296 0 -0.2588053 0.7070926 0 0.707121 0 -1 0 -0.5000112 0 0.866019 0.5000012 0 0.8660247 0 -1 0 0.5000012 0 0.8660247 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 -0.5000112 0 0.866019 0 -1 0 -0.5000072 0 -0.8660213 0 -1 0 -1 0 0 0.4999972 0 -0.8660271 0 -1 0 0 -1 0 -0.5000072 0 -0.8660213 1 0 0 0.4999972 0 -0.8660271 1 0 0 0 -1 0 -0.1305325 0 0.9914439 0.793358 0 0.6087554 0.793358 0 0.6087554 0 -1 0 -0.923876 0 0.382692 0 -1 0 -0.1305325 0 0.9914439 0 -1 0 -0.7933582 0 -0.6087551 0 -1 0 -0.923876 0 0.382692 0 -1 0 0.1305326 0 -0.9914441 0 -1 0 0 -1 0 -0.7933582 0 -0.6087551 0.9238761 0 -0.3826919 0.1305326 0 -0.9914441 0.9238761 0 -0.3826919 0.2588345 0 0.9659217 0.965928 0 0.2588109 0.965928 0 0.2588109 0 -1 0 -0.7071067 0 0.7071069 0.2588345 0 0.9659217 0 -1 0 -0.9659299 0 -0.2588037 0 -1 0 -0.7071067 0 0.7071069 0 -1 0 -0.2588285 0 -0.9659233 -0.9659299 0 -0.2588037 0.7071177 0 -0.7070959 -0.2588285 0 -0.9659233 0.7071177 0 -0.7070959 0 -1 0 0.8660251 0 0.5000005 0 -1 0 0.8660262 0 -0.4999985 0.8660262 0 -0.4999985 0 -1 0 0 0 1 0 -1 0 0.8660251 0 0.5000005 -0.8660271 0 0.4999972 0 0 1 -0.8660281 0 -0.4999952 -0.8660271 0 0.4999972 0 0 -1 -0.8660281 0 -0.4999952 0 -1 0 0 0 -1 0 -1 0 0.991444 0 0.1305332 0 -1 0 0.6087687 0 -0.7933478 0 -1 0 0.6087687 0 -0.7933478 0 -1 0 0.3826926 0 0.9238758 0.991444 0 0.1305332 0 -1 0 -0.6087696 0 0.793347 0 -1 0 0.3826926 0 0.9238758 -0.9914477 0 -0.1305044 -0.6087696 0 0.793347 -0.3826822 0 -0.9238801 -0.9914477 0 -0.1305044 -0.3826822 0 -0.9238801 0 -1 0 0.9659222 0 -0.2588326 0 -1 0 0.2588239 0 -0.9659246 0 -1 0 0.2588239 0 -0.9659246 0 -1 0 0.7070921 0 0.7071214 0.9659222 0 -0.2588326 0 -1 0 -0.2587959 0 0.965932 0 -1 0 0.7070921 0 0.7071214 -0.9659245 0 0.2588244 -0.2587959 0 0.965932 -0.7070998 0 -0.7071139 -0.9659245 0 0.2588244 -0.7070998 0 -0.7071139 0 -1 0 0.4999952 0 -0.8660281 -0.4999949 0 -0.8660284 0 -1 0 -0.4999949 0 -0.8660284 0 -1 0 1 0 0 0 -1 0 0.4999952 0 -0.8660281 0 -1 0 0.4999992 0 0.8660258 0 -1 0 1 0 0 -0.4999989 0 0.8660261 0 -1 0 0 -1 0 0.4999992 0 0.8660258 -1 0 0 -0.4999989 0 0.8660261 -1 0 0 0 -1 0 0.1305322 0 -0.9914441 -0.7933582 0 -0.6087552 -0.7933582 0 -0.6087552 0 -1 0 0.9238867 0 -0.3826661 0 -1 0 0.1305322 0 -0.9914441 0 -1 0 0.7933455 0 0.6087718 0 -1 0 0.9238867 0 -0.3826661 0 -1 0 -0.1305081 0 0.9914473 0 -1 0 0 -1 0 0.7933455 0 0.6087718 -0.9238758 0 0.3826926 -0.1305081 0 0.9914473 -0.9238758 0 0.3826926 -0.2588243 0 -0.9659244 -0.9659318 0 -0.2587966 -0.9659318 0 -0.2587966 0 -1 0 0.7071154 0 -0.707098 -0.2588243 0 -0.9659244 0 -1 0 0.9659299 0 0.2588039 0 -1 0 0.7071154 0 -0.707098 0 -1 0 0.2588345 0 0.9659217 0.9659299 0 0.2588039 -0.7071067 0 0.7071069 0.2588345 0 0.9659217 -0.7071067 0 0.7071069 0 -1 0 0.3090181 0 -0.9510561 -0.3090189 0 -0.9510559 -0.3090189 0 -0.9510559 0 -1 0 0.8090178 0 -0.5877843 0 -1 0 0 -1 0 0.3090181 0 -0.9510561 1 0 0 0 -1 0 0.8090178 0 -0.5877843 0.8090158 0 0.587787 1 0 0 0.3090181 0 0.9510561 0.8090158 0 0.587787 0 -1 0 -0.3090189 0 0.9510559 0.3090181 0 0.9510561 0 -1 0 -0.809015 0 0.5877879 0 -1 0 0 -1 0 -0.3090189 0 0.9510559 -1 0 0 0 -1 0 -0.809015 0 0.5877879 -0.8090172 0 -0.5877851 -1 0 0 -0.8090172 0 -0.5877851 0.6546524 -0.6546558 0.3779631 0.6546565 -0.6546503 -0.3779656 0.6546553 -0.6546588 -0.3779527 0 -0.6546531 0.7559295 0.6546642 -0.6546472 0.3779575 -0.6546511 -0.6546573 0.3779626 0 -0.654653 0.7559295 -0.6546525 -0.6546553 -0.3779636 -0.6546516 -0.6546543 0.3779672 0 -0.6546531 -0.7559295 -0.6546483 -0.6546584 -0.3779656 0 -0.654653 -0.7559295 0.377963 -0.6546556 -0.6546525 -0.3779619 -0.6546581 -0.6546507 -0.3779678 -0.6546543 -0.6546512 0.7559293 -0.6546533 0 0.3779655 -0.6546595 -0.6546473 0.377962 -0.6546586 0.6546502 0.7559293 -0.6546533 0 -0.3779628 -0.6546566 0.6546517 0.3779667 -0.6546556 0.6546506 -0.7559293 -0.6546533 0 -0.3779649 -0.6546597 0.6546475 -0.7559293 -0.6546533 0 -0.6546581 -0.6546481 -0.3779664 -0.6546562 -0.654651 0.3779644 -0.6546568 -0.6546469 0.3779707 0 -0.6546547 -0.7559281 -0.6546515 -0.654653 -0.3779695 0.6546553 -0.6546517 -0.377965 0 -0.6546547 -0.7559282 0.6546576 -0.6546493 0.3779654 0.6546559 -0.6546477 -0.3779712 0 -0.6546547 0.7559281 0.6546528 -0.6546527 0.3779676 0 -0.6546547 0.755928 -0.3779699 -0.6546538 0.6546504 0.3779696 -0.6546531 0.6546512 0.3779675 -0.6546545 0.6546511 -0.7559281 -0.6546547 0 -0.3779693 -0.654653 0.6546517 -0.3779642 -0.6546515 -0.6546562 -0.755928 -0.6546547 0 0.3779649 -0.6546484 -0.6546587 -0.3779717 -0.6546464 -0.6546567 0.7559281 -0.6546547 0 0.3779678 -0.6546528 -0.6546526 0.7559281 -0.6546547 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.6947193 0.6947711 0.1861676 -0.6950223 0.6944462 -0.1862485 -0.694722 0.6947737 -0.1861471 -0.5084596 0.6949091 0.5084978 -0.6950284 0.6944451 0.1862297 -0.1861331 0.6947955 0.694704 -0.5088048 0.694434 0.5088016 0.1861836 0.6945954 0.6948906 -0.1861956 0.6945938 0.694889 0.5088016 0.6944063 0.5088427 0.1861475 0.6947855 0.6947102 0.6949868 0.6944842 0.1862393 0.5084607 0.6949397 0.5084552 0.6947268 0.694763 -0.1861693 0.6947291 0.6947653 0.1861523 0.5084438 0.6949304 -0.5084844 0.6949953 0.69448 -0.1862232 0.1861324 0.6947903 -0.6947094 0.5088243 0.6944068 -0.5088192 -0.1861897 0.6945583 -0.6949259 0.1862047 0.6945563 -0.6949239 -0.5087783 0.6944428 -0.5088161 -0.186143 0.6948039 -0.6946931 -0.5084809 0.6949081 -0.5084781 0 1 0 0.9659174 0 0.2588507 0 1 0 0.9659172 6.51978e-5 -0.2588512 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9659259 0 -0.2588188 0 1 0 0.7071048 -1.60524e-5 0.7071087 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9659258 6.29601e-5 0.2588194 0 1 0 0.2588512 6.34856e-5 0.9659172 0 1 0 0 1 0 0.7071107 -1.757e-7 0.707103 0 1 0 -0.2588506 0 0.9659174 0 1 0 0 1 0 0 1 0 0 1 0 0.2588196 0 0.9659257 0 1 0 -0.7071064 -4.52744e-6 0.707107 0 1 0 0 1 0 0 1 0 0 1 0 -0.2588199 6.18758e-5 0.9659257 0 1 0 -0.9659175 6.9235e-5 0.2588501 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.707109 -1.14205e-5 0.7071046 0 1 0 -0.9659174 0 -0.2588506 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.9659267 0 0.2588156 0 1 0 -0.7071087 -5.26794e-6 -0.7071048 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.9659269 7.14816e-5 -0.2588151 0 1 0 -0.2588501 6.07641e-5 -0.9659175 0 1 0 0 1 0 -0.7071086 -5.32957e-6 -0.7071048 0 1 0 0.2588507 0 -0.9659174 0 1 0 0 1 0 0 1 0 0 1 0 -0.2588198 0 -0.9659257 0 1 0 0.7071071 -9.87868e-7 -0.7071065 0 1 0 0 1 0 0 1 0 0 1 0 0.2588197 6.23443e-5 -0.9659257 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.7071104 -9.83923e-6 -0.7071033 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.8660473 0 -0.499962 0.8660476 3.77751e-5 0.4999617 0.866033 0 0.499987 0 -1.76269e-4 -1 0.8660327 3.77947e-5 -0.4999873 -0.866038 3.89512e-5 -0.4999781 0 -1.76269e-4 -1 -0.8660382 0 0.4999778 -0.866023 0 -0.5000042 0 -1.76269e-4 1 -0.8660232 3.89662e-5 0.5000039 0 -1.76269e-4 1 -0.4999623 0 -0.8660473 0.4999623 6.34098e-5 -0.8660473 0.5000048 0 -0.8660227 -1 -1.7536e-4 0 -0.5000048 6.3409e-5 -0.8660227 -0.4999608 6.41971e-5 0.8660479 -1 -1.7536e-4 0 0.4999608 0 0.8660479 -0.5000039 0 0.8660231 1 -1.7536e-4 0 0.5000039 6.42042e-5 0.8660231 1 -1.7536e-4 0 -0.8660375 0 0.4999791 -0.8660375 4.04963e-5 -0.4999791 -0.8660218 0 -0.5000063 0 -1.76269e-4 1 -0.8660229 3.77942e-5 0.5000045 0.8660382 3.85578e-5 0.4999778 0 -1.76269e-4 1 0.8660382 0 -0.4999778 0.8660233 0 0.5000036 0 -1.70817e-4 -1 0.8660222 4.13101e-5 -0.5000054 0 -1.70817e-4 -1 0.4999788 0 0.8660376 -0.4999788 4.04964e-5 0.8660376 -0.500006 0 0.8660219 1 -1.7536e-4 0 0.5000045 3.82128e-5 0.8660229 0.4999778 3.90121e-5 -0.8660382 1 -1.7536e-4 0 -0.4999778 0 -0.8660382 0.5000039 0 -0.8660231 -1 -1.70817e-4 0 -0.5000054 4.13101e-5 -0.8660222 -1 -1.70817e-4 0 0 0 -1 -0.8910278 -0.4539487 0 0 0 -1 -0.4409329 -0.8654799 0.2377446 0 0 -1 -0.5556435 -0.8314206 0 0 0 -1 -0.9876778 0.1565006 2.85171e-4 0 0 -1 0 0 -1 -0.8909849 -0.4540327 3.10913e-4 -0.9877012 0.1563534 -2.05924e-4 0 0 -1 -0.7071068 0.7071068 1.26572e-4 0 0 -1 -0.7071612 0.7070525 -1.26828e-4 0 0 -1 -0.1565006 0.9876779 -1.14669e-5 0 0 -1 0 0 -1 0 0 -1 -0.1564888 0.9876797 2.80065e-5 0 0 -1 0.4539487 0.8910278 1.07894e-4 0 0 -1 0 0 -1 0.8910278 0.4539487 0 0 0 -1 0.4539779 0.891013 0 0 0 -1 0.9693394 -0.1535948 0.1918066 0 0 -1 0 0 -1 0.7751781 0.5180297 0.3615858 0.9760673 0.1941607 -0.09795027 0 0 -1 0.7048866 -0.7048866 0.07918262 0 0 -1 0.9638609 -0.2583575 -0.06498992 0 0 -1 0.1535947 -0.969339 0.1918082 0 0 -1 0 0 -1 0 0 -1 0.7048676 -0.7049173 0.07907688 0.2583279 -0.9638744 -0.06490749 0 0 -1 -0.1941834 -0.9760606 -0.09797179 0.9659247 0.2588231 0 0 0 -1 0.2588173 0.9659264 0 0.2588173 0.9659264 0 0.7070955 -0.7071181 0 0.9659247 0.2588231 0 0 0 -1 -0.2588173 -0.9659264 0 0.7070955 -0.7071181 0 0 0 -1 -0.9659239 -0.2588264 0 -0.2588173 -0.9659264 0 0 0 -1 -0.7070937 0.7071198 0 0 0 -1 -0.9659239 -0.2588264 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7070937 0.7071198 0 -0.2588231 0.9659247 0 0 0 -1 -0.9659264 0.2588173 0 -0.9659264 0.2588173 0 0.7071181 0.7070955 0 -0.2588231 0.9659247 0 0 0 -1 0.9659264 -0.2588173 0 0 0 -1 0.7071181 0.7070955 0 0 0 -1 0.2588264 -0.9659239 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9659264 -0.2588173 0 0 0 -1 -0.7071198 -0.7070937 0 0.2588264 -0.9659239 0 0 0 -1 -0.7071198 -0.7070937 0 -0.9659247 -0.2588231 0 -0.2588173 -0.9659264 0 -0.2588173 -0.9659264 0 -0.7070955 0.7071181 0 -0.9659247 -0.2588231 0 0 0 -1 0.2588173 0.9659264 0 -0.7070955 0.7071181 0 0 0 -1 0.9659239 0.2588264 0 0.2588173 0.9659264 0 0 0 -1 0.7070937 -0.7071198 0 0 0 -1 0.9659239 0.2588264 0 0 0 -1 0 0 -1 0.7070937 -0.7071198 0 0.2588231 -0.9659247 0 0 0 -1 0.9659264 -0.2588173 0 0.9659264 -0.2588173 0 -0.7071181 -0.7070955 0 0.2588231 -0.9659247 0 -0.9659264 0.2588173 0 -0.7071181 -0.7070955 0 0 0 -1 -0.2588264 0.9659239 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9659264 0.2588173 0 0 0 -1 0.7071198 0.7070937 0 -0.2588264 0.9659239 0 0 0 -1 0.7071198 0.7070937 0 -0.9997817 0.02089607 0 0 0 -1 -0.9396998 -0.3420005 0 -0.9396998 -0.3420005 0 -0.7242847 0.6895012 0 -0.9997817 0.02089607 0 0 0 -1 -0.5751206 0.8180686 0 -0.7242847 0.6895012 0 -0.8180397 0.5751618 0 -0.5751206 0.8180686 0 -0.6894173 0.7243645 0 -0.8180397 0.5751618 0 0 0 -1 -0.02085453 0.9997825 0 -0.6894173 0.7243645 0 0 0 -1 0.3420445 0.9396837 0 -0.02085453 0.9997825 0 0 0 -1 0.6896843 0.7241102 0 0.3420445 0.9396837 0 0 0 -1 0.9999 -0.01414233 0 0.6896843 0.7241102 0 0 0 -1 0.8220553 -0.5694077 0 0.9999 -0.01414233 0 0 0 -1 0.569361 -0.8220877 0 0 0 -1 0.8220553 -0.5694077 0 0 0 -1 0.0141046 -0.9999005 0 0 0 -1 0.569361 -0.8220877 0 0 0 -1 -0.72418 -0.689611 0 0.0141046 -0.9999005 0 -0.72418 -0.689611 0 0 0 -1 0.5751206 -0.8180686 0 0.7242847 -0.6895012 0 0.7242847 -0.6895012 0 0.8180397 -0.5751618 0 0.5751206 -0.8180686 0 0.6894173 -0.7243645 0 0.8180397 -0.5751618 0 0 0 -1 0.02085453 -0.9997825 0 0.6894173 -0.7243645 0 0 0 -1 -0.3420445 -0.9396837 0 0.02085453 -0.9997825 0 0 0 -1 -0.6896843 -0.7241102 0 -0.3420445 -0.9396837 0 0 0 -1 -0.9999 0.01414233 0 -0.6896843 -0.7241102 0 0 0 -1 -0.8220553 0.5694077 0 -0.9999 0.01414233 0 0 0 -1 -0.569361 0.8220877 0 0 0 -1 -0.8220553 0.5694077 0 0 0 -1 -0.0141046 0.9999005 0 0 0 -1 -0.569361 0.8220877 0 0 0 -1 0.72418 0.689611 0 -0.0141046 0.9999005 0 0 0 -1 0.9396998 0.3420005 0 0.72418 0.689611 0 0.9997817 -0.02089607 0 0.9396998 0.3420005 0 0.9997817 -0.02089607 0 0.3809682 0.6062948 -0.6980472 0.6063188 0.3809833 -0.698018 0.6062968 0.3809656 -0.6980468 0.08016043 0.7113511 -0.6982506 0.3809803 0.6063203 -0.6980184 0 0 -1 -0.2364891 0.6758183 -0.6980992 0 0 -1 0.08016008 0.7114133 -0.6981872 -0.506368 0.5063705 -0.697983 -0.23644 0.6757178 -0.6982131 -0.6757191 0.2364535 -0.6982073 -0.50638 0.5063801 -0.6979673 -0.7114133 -0.08016747 -0.6981865 -0.6758213 0.2364762 -0.6981007 -0.6063188 -0.3809833 -0.698018 -0.7113527 -0.08015328 -0.6982497 -0.3809682 -0.6062948 -0.6980472 -0.6062968 -0.3809656 -0.6980468 -0.08016043 -0.7113511 -0.6982506 -0.3809803 -0.6063203 -0.6980184 0 0 -1 0.2364891 -0.6758183 -0.6980992 0 0 -1 -0.08016008 -0.7114133 -0.6981872 0.506368 -0.5063705 -0.697983 0.23644 -0.6757178 -0.6982131 0.6757191 -0.2364535 -0.6982073 0.50638 -0.5063801 -0.6979673 0.7114133 0.08016747 -0.6981865 0.6758213 -0.2364762 -0.6981007 0.7113527 0.08015328 -0.6982497 0 0 1 0.8660411 0.4999728 0 0 0 1 0.232853 0.4033424 0.8849263 0 0 1 0 0 1 0 0 1 0 0 1 0.5230422 0.7009244 0.4849039 0.6722824 0.7402948 0 0 0 1 0.992847 0 0.1193934 0 0 1 0 0 1 0.1112625 0.1009876 0.9886466 0.1866039 0.1390403 0.9725466 0.8638005 0.4092656 0.2938545 0.9160704 0.3975585 0.05255645 0.9238962 0.382643 0 0.959033 0.2568733 -0.1194644 0 0 1 0.8598424 -0.4963943 0.1194307 0 0 1 0 0 1 0 0 1 0.9589293 -0.2572572 -0.1194707 0 0 1 0.4963942 -0.8598424 0.1194313 0 0 1 0.7016888 -0.7023938 -0.1194815 0 0 1 0 -0.992847 0.1193942 0 0 1 0 0 1 0 0 1 0 0 1 0.2562927 -0.9591877 -0.1194699 0 0 1 -0.232853 -0.4033424 0.8849263 0 0 1 0 0 1 0 0 1 0 0 1 -0.3980176 -0.9158588 0.05277144 -0.3225936 -0.9288717 -0.1820183 -0.4095724 -0.8633003 0.2948948 0 0 1 -0.8660411 -0.4999728 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.6722824 -0.7402948 0 -0.5230422 -0.7009244 0.4849039 0 0 1 -0.9936138 0 0.1128349 0 0 1 0 0 1 -0.9597813 -0.2570232 -0.1129559 -0.9238963 -0.3826431 0 -0.8638005 -0.4092656 0.2938545 -0.1866039 -0.1390403 0.9725465 -0.9160704 -0.3975585 0.05255645 -0.1112625 -0.1009876 0.9886466 0 0 1 -0.8605083 0.4967787 0.1128552 0 0 1 0 0 1 0 0 1 -0.959654 0.2575153 -0.1129157 0 0 1 -0.4967787 0.8605083 0.112856 0 0 1 -0.7022364 0.7029305 -0.1129282 0 0 1 0 0.9936138 0.1128349 0 0 1 0 0 1 0 0 1 0 0 1 -0.256564 0.9599088 -0.1129164 0 0 1 0 0 1 0 0 1 0 0 1 0.3254162 0.9293497 -0.1743944 0.3980176 0.9158588 0.05277144 0.4095724 0.8633003 0.2948948 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2087723 -0.6308144 0.7473202 0.1859903 0.7713076 0.6086807 0.02246707 0.6663485 0.7453019 0.05832731 -0.6880953 0.7232723 0 0 1 0.3572556 -0.4900005 0.7951527 0.7301701 -0.1956514 0.6546543 0.1956532 -0.7301754 0.6546478 0.5345159 0.5345246 0.6546571 0.7301684 -0.1956465 0.6546576 -0.1956539 0.7301746 0.6546486 0.53454 0.5345203 0.6546412 -0.6283178 0.3524774 0.6935245 -0.1956552 0.7301729 0.6546499 -0.723855 -0.02667534 0.6894363 -0.6434053 0.1723987 0.7458608 0 0 1 -0.5969078 -0.3950379 0.6983166 0 0 1 0 0 1 0 0 1 -0.3087126 -0.6587626 0.6860966 -0.4720717 -0.4720566 0.7445205 -0.1074139 0.4452778 0.8889263 -0.02710986 0.6019172 0.7980983 -0.05796909 -0.701856 0.7099562 -0.4309679 0.6265944 0.6493429 -0.1001409 0.6320402 0.768438 0 0 1 -0.6265563 0.4308905 0.649431 -0.3458917 0.3458386 0.8722125 0 0 1 -0.6365842 0.1535543 0.7557657 0 0 1 0.6308031 0.2087858 0.7473259 -0.4203824 0.03720796 0.9065837 0.688498 0.05705678 0.7229903 0.4900005 0.3572556 0.7951527 0.1956514 0.7301701 0.6546543 0.7301754 0.1956532 0.6546478 -0.5345246 0.5345159 0.6546571 0.1956465 0.7301684 0.6546576 -0.7301746 -0.1956539 0.6546486 -0.5345203 0.53454 0.6546412 -0.3524774 -0.6283178 0.6935245 -0.7301729 -0.1956552 0.6546499 0.02667534 -0.723855 0.6894363 -0.1723987 -0.6434053 0.7458608 0.3950379 -0.5969078 0.6983166 0 0 1 0.658773 -0.3087016 0.6860914 0.4720566 -0.4720717 0.7445205 -0.7713721 -0.1860072 0.6085938 -0.5723439 0.09060221 0.8149932 -0.2141335 -0.0481233 0.9756183 0.7017904 -0.05880361 0.7099523 -0.3314331 -0.227933 0.9155319 -0.4040977 -0.5875838 0.7010352 -0.6457011 -0.3290397 0.6890596 0 0 1 -0.173249 -0.718469 0.6736373 0 0 1 -0.3807522 -0.5697271 0.7283123 -0.2087723 0.6308144 0.7473202 -0.04944175 -0.5090603 0.8593097 -0.08744615 0.6784748 0.7294005 -0.3572556 0.4900005 0.7951527 -0.7301701 0.1956514 0.6546543 -0.1956532 0.7301754 0.6546478 -0.5345159 -0.5345246 0.6546571 -0.7301684 0.1956465 0.6546576 0.1956539 -0.7301746 0.6546486 -0.53454 -0.5345203 0.6546412 0.6283178 -0.3524774 0.6935245 0.1956552 -0.7301729 0.6546499 0.723855 0.02667534 0.6894363 0.6434053 -0.1723987 0.7458608 0 0 1 0.5969078 0.3950379 0.6983166 0 0 1 0 0 1 0 0 1 0.3087126 0.6587626 0.6860966 0.4720717 0.4720566 0.7445205 0.1529603 -0.6340878 0.7579814 0.02949732 -0.702044 0.7115225 0.08688104 0.699249 0.7095791 0.4498552 -0.654055 0.6081467 0.1552932 -0.5794312 0.8000897 0 0 1 0.6541327 -0.449855 0.6080631 0.3841945 -0.3842216 0.839505 0 0 1 0.5729478 -0.1382042 0.8078555 0 0 1 -0.6308031 -0.2087858 0.7473259 0.4198613 -0.05699521 0.905797 -0.6784097 -0.08763009 0.729439 -0.4900005 -0.3572556 0.7951527 -0.1956514 -0.7301701 0.6546543 -0.7301754 -0.1956532 0.6546478 0.5345246 -0.5345159 0.6546571 -0.1956465 -0.7301684 0.6546576 0.7301746 0.1956539 0.6546486 0.5345203 -0.53454 0.6546412 0.3524774 0.6283178 0.6935245 0.7301729 0.1956552 0.6546499 -0.02667534 0.723855 0.6894363 0.1723987 0.6434053 0.7458608 -0.3950379 0.5969078 0.6983166 0 0 1 -0.658773 0.3087016 0.6860914 -0.4720566 0.4720717 0.7445205 0.7185177 0.173262 0.673582 0.6483151 0.1289637 0.7503705 0.7020155 0.02945393 0.7115523 -0.6992481 0.08691084 0.7095764 0.5636717 0.387648 0.7293855 0.4040977 0.5875838 0.7010352 0.5936626 0.3967279 0.7001226 0.2242445 0.4401201 0.8694876 0.2944986 0.9537521 0.06022793 0 0 1 0.4785695 0.8773644 -0.03468209 0.4987285 -0.5016294 0.7068505 0.5000088 -0.5000023 0.7070989 0.499993 -0.5000022 0.7071101 -0.1335749 0.9891297 0.06148314 0 0 1 0.11173 0.9915933 -0.06526136 0 0 1 0 0 1 0 0 1 0 0 1 -0.5369732 0.8413148 0.06204164 0 0 1 -0.3295512 0.9418187 -0.06613314 0 0 1 0 0 1 0 0 1 -0.8408898 0.53764 0.06202876 -0.7055451 0.7055451 -0.06642454 -0.9890255 0.134364 0.06143933 0 0 1 -0.9418209 0.329552 -0.06609714 0 0 1 -0.9539882 -0.2937483 0.06015282 0 0 1 -0.9915974 -0.1117305 -0.06519836 0 0 1 0 0 1 -0.8649168 -0.5018717 -0.006611108 0.4999976 -0.4999935 0.7071131 -0.8903436 -0.4547628 -0.02188497 0 0 1 0 0 1 0 0 1 0.4999975 -0.4999975 0.7071102 -0.8442878 -0.5358901 0 0.4999999 -0.5000001 0.7071067 0.7071067 -0.7071069 0 0.7071066 -0.7071069 0 -0.8837426 -0.4658974 -0.0440303 0.653586 -0.6535862 0.3816416 -0.8261092 -0.3734711 -0.421975 0.2712078 -0.2714178 0.9234602 -0.8252312 -0.5185326 -0.2238693 0.6539198 -0.653712 0.3808535 -0.7806638 -0.6218723 -0.0619592 0 0 1 0.2718834 -0.2718812 0.9231252 -0.7331709 -0.6800444 0 0 0 1 0 0 1 -0.5320361 -0.8467217 0 -0.5030373 -0.5421467 -0.6730753 0 0 1 0 0 1 0.5320361 0.8467217 0 0.5030373 0.5421467 -0.6730753 0.5323705 0.6675207 -0.5205745 0.5075114 0.8425969 -0.1801738 0.4662364 0.8835567 -0.04417061 0.4438178 0.8961171 0 0.4963456 0.866831 -0.04738438 0.7331709 0.6800444 0 0.8261093 0.3734711 -0.4219747 0.8252312 0.5185326 -0.2238693 0.7806638 0.6218723 -0.06195926 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2713336 -0.2713336 0.923448 0 0 1 0.6534728 -0.6536827 0.3816704 0.2719416 -0.2717404 0.9231494 0.7071115 -0.7071022 0 0.7071066 -0.707107 -5.9708e-6 0.7071083 -0.7071053 -2.91384e-6 0.7071097 -0.7071039 0 0.7071085 -0.7071051 -2.50427e-6 0.6538117 -0.6538063 0.3808774 -0.2944978 -0.9537523 0.06022834 0 0 1 -0.4785695 -0.8773644 -0.03468209 -0.4987285 0.5016294 0.7068505 -0.5000088 0.5000023 0.7070989 -0.5000011 0.5000023 0.7071044 0.1335881 -0.9891279 0.06148368 0 0 1 -0.11173 -0.9915932 -0.06526362 0 0 1 0 0 1 0 0 1 0 0 1 0.5369808 -0.8413097 0.06204378 0 0 1 0.3295513 -0.9418188 -0.06612968 0 0 1 0 0 1 0 0 1 0.8408959 -0.5376307 0.06202781 0.7055451 -0.7055451 -0.06642454 0.989027 -0.1343544 0.06143718 0 0 1 0.9418208 -0.3295519 -0.06609916 0 0 1 0.9539868 0.2937535 0.06015038 0 0 1 0.9915972 0.1117305 -0.06520062 0 0 1 0 0 1 0.8649168 0.5018717 -0.006611108 -0.4999976 0.4999935 0.7071131 0.8903436 0.4547628 -0.02188497 0 0 1 0 0 1 0 0 1 -0.4999975 0.4999974 0.7071103 0.8442878 0.5358901 0 -0.4999999 0.5000001 0.7071067 -0.7071067 0.7071069 0 -0.7071066 0.7071069 0 0.8837426 0.4658974 -0.0440303 -0.653586 0.6535862 0.3816416 -0.2712078 0.2714178 0.9234602 -0.6539198 0.653712 0.3808535 0 0 1 -0.2718834 0.2718812 0.9231252 0 0 1 -0.5323705 -0.6675207 -0.5205745 -0.5075114 -0.8425969 -0.1801738 -0.4662364 -0.8835567 -0.04417061 -0.4438178 -0.8961171 0 -0.4963456 -0.866831 -0.04738438 0 0 1 0 0 1 -0.2713336 0.2713336 0.923448 0 0 1 -0.6534728 0.6536827 0.3816704 -0.2719416 0.2717404 0.9231494 -0.7071115 0.7071022 0 -0.7071065 0.707107 -5.87717e-6 -0.7071098 0.7071039 0 -0.6538117 0.6538063 0.3808774 0.6554929 -0.1757012 0.7344782 0.7070749 -0.009545505 0.7070742 0.7070774 0.009478926 0.7070726 -0.1334347 -0.6707078 0.7296205 -0.009346127 -0.7070775 0.7070742 0.009540915 -0.7070757 0.7070734 0.2585631 0.9659943 0 0.9659842 0.2586013 -4.01524e-5 0.9659218 0.258834 0 -0.7070979 0.7071158 4.4977e-6 0.2588292 0.9659232 -4.59329e-5 0 0 1 -0.9659842 -0.2586013 -4.01524e-5 -0.7071115 0.7071021 7.73051e-6 0 0 1 -0.2585648 -0.9659939 0 0 0 1 -0.9659218 -0.258834 0 0 0 1 0.7070945 -0.7071192 4.23136e-6 -0.2588304 -0.9659228 -4.58371e-5 0.7071093 -0.7071043 7.73067e-6 0 0 1 -0.9659943 0.2585631 0 -0.2586013 0.9659842 -4.01524e-5 -0.258834 0.9659218 0 0 0 1 -0.7071158 -0.7070979 4.4977e-6 0 0 1 -0.9659232 0.2588292 -4.59329e-5 0 0 1 0.2586013 -0.9659842 -4.01524e-5 -0.7071021 -0.7071115 7.73051e-6 0.9659939 -0.2585648 0 0 0 1 0.258834 -0.9659218 0 0.7071192 0.7070945 4.23136e-6 0.9659228 -0.2588304 -4.58371e-5 0.7071043 0.7071093 7.73067e-6 -0.2585631 -0.9659943 0 -0.9659842 -0.2586013 -4.01524e-5 -0.9659218 -0.258834 0 0.7070979 -0.7071158 4.4977e-6 -0.2588292 -0.9659232 -4.59329e-5 0 0 1 0.9659842 0.2586013 -4.01524e-5 0.7071115 -0.7071021 7.73051e-6 0 0 1 0.2585648 0.9659939 0 0 0 1 0.9659218 0.258834 0 0 0 1 -0.7070945 0.7071192 4.23136e-6 0.2588304 0.9659228 -4.58371e-5 -0.7071093 0.7071043 7.73067e-6 0 0 1 0.9659943 -0.2585631 0 0.2586013 -0.9659842 -4.01524e-5 0.258834 -0.9659218 0 0 0 1 0.7071158 0.7070979 4.4977e-6 0 0 1 0.9659232 -0.2588292 -4.59329e-5 0 0 1 -0.2586013 0.9659842 -4.01524e-5 0.7071021 0.7071115 7.73051e-6 -0.9659939 0.2585648 0 0 0 1 -0.258834 0.9659218 0 -0.7071192 -0.7070945 4.23136e-6 -0.9659228 0.2588304 -4.58371e-5 -0.7071043 -0.7071093 7.73067e-6 0.167532 0.7388779 0.6526809 -0.5000183 0.4999837 0.7071053 -0.4999409 0.5000572 0.7071081 0.1508545 0.6393378 0.7539827 -0.2026445 0.7024194 0.6823065 -0.1858503 0.6548373 0.7325624 -0.4988926 0.499419 0.7082985 -0.702255 0.2033645 0.6822615 -0.4989078 0.499436 0.7082759 -0.7389849 -0.1668249 0.652741 -0.6546568 0.1865102 0.732556 -0.4999638 0.5000287 0.7071121 -0.499972 0.5000201 0.7071124 -0.6394558 -0.15025 0.7540035 -0.1675027 -0.7388321 0.6527403 0.5001033 -0.4998837 0.707116 0.5000277 -0.4999554 0.7071188 -0.1508225 -0.6392647 0.7540512 0.2027295 -0.7024668 0.6822324 0.1858946 -0.6547812 0.7326014 0.4990026 -0.4993955 0.7082376 0.7022232 -0.2032852 0.682318 0.4989526 -0.4993391 0.7083127 0.7389465 0.1668364 0.6527815 0.6546372 -0.1864403 0.7325915 0.5000818 -0.4999191 0.707106 0.5000845 -0.4999165 0.7071061 0.6394904 0.1502697 0.7539703 -0.4999088 0.5001261 0.7070822 -0.5000414 0.4999479 0.7071143 0.4013247 0.9099006 0.104973 0.2046813 0.8673037 -0.4537509 0.1506026 0.6381032 0.7550782 0 0 1 0.1474216 0.9846262 -0.09369128 0 0 1 0 0 1 -0.1175577 0.9905317 0.07090163 0 0 1 -0.3752752 0.9264747 -0.02851313 0 0 1 -0.2417799 0.8518472 -0.4646494 0 0 1 0 0 1 -0.6062396 0.7948493 0.02623122 0 0 1 0 0 1 0 0 1 -0.7942909 0.6069602 0.02648502 -0.6244453 0.6250854 -0.4683335 -0.6800338 0.2761737 -0.6791775 -0.9604889 0.2736369 -0.05083346 -0.9904199 0.1184574 0.07096743 0 0 1 -0.7786357 -0.1158584 -0.6166872 0 0 1 -0.9634028 -0.2264261 -0.1434794 0 0 1 -0.9086657 -0.3997941 0.1203805 0 0 1 -0.9127974 -0.3976786 0.0930199 0 0 1 -0.7071068 0.7071068 0 -0.5000005 0.4999941 0.7071106 -0.6383151 -0.1500185 0.7550154 0.4986896 -0.5017137 0.7068183 0.4998902 -0.5001053 0.7071099 -0.4013219 -0.9099012 0.1049789 -0.2046536 -0.867278 -0.4538123 -0.1506034 -0.6381912 0.7550037 0 0 1 -0.1474202 -0.9846128 -0.09383487 0 0 1 0 0 1 0.1175567 -0.9905275 0.07096338 0 0 1 0.3752745 -0.9264662 -0.02879989 0 0 1 0.2418387 -0.8517784 -0.4647446 0 0 1 0 0 1 0.6062318 -0.7948459 0.02651685 0 0 1 0 0 1 0 0 1 0.7943019 -0.6069567 0.02622985 0.6245284 -0.6250051 -0.4683299 0.6799663 -0.2761483 -0.6792555 0.9605376 -0.2735607 -0.05031776 0.9904263 -0.1184577 0.07087725 0 0 1 0.7786992 0.1158683 -0.6166054 0 0 1 0.963423 0.2264432 -0.1433166 0 0 1 0.9086682 0.3997951 0.1203572 0 0 1 0.9127877 0.3976865 0.09308123 0 0 1 0.7071188 -0.7070949 8.02807e-6 0.5000097 -0.499985 0.7071105 0.6383563 0.1500394 0.7549765 -0.02893257 0.6924778 0.7208589 0.02943998 0.6993427 0.71418 -0.009336531 -0.7070822 0.7070698 0.009556829 -0.7070682 0.7070809 -0.6923854 -0.0294637 0.7209261 -0.6993259 0.0290777 0.7142113 0.7070798 -0.009535431 0.7070695 0.7070698 0.009494841 0.7070801 0.2596434 0.9657045 0 -0.1957281 -0.717894 0.6680708 0.1882633 -0.7096106 0.6789771 -0.1830754 -0.6807716 0.7092486 -0.1956753 -0.717722 0.6682711 0.5121132 -0.5126171 0.6891762 0.1843581 -0.6899691 0.6999676 0.7094925 -0.1889834 0.6789004 0.6897167 -0.1850309 0.700039 0.5121919 -0.5127065 0.6890512 0.7181619 0.1950377 0.6679849 0.6808351 0.1823559 0.7093729 0.7071098 -0.7071037 7.0247e-6 0.7180145 0.1949926 0.6681564 -0.2596967 -0.9656902 0 0.7069895 -0.7072241 0 -0.5506407 -0.1475529 0.8215978 -0.1475508 -0.5506414 0.8215977 -0.4030975 0.4030921 0.8216016 0.1475502 0.5506417 0.8215977 0.5506398 0.1475526 0.8215985 0.4030962 -0.4030933 0.8216015 0.1475529 -0.5506407 0.8215978 0.5506414 -0.1475508 0.8215977 -0.4030921 -0.4030975 0.8216016 -0.5506417 0.1475502 0.8215977 -0.1475526 0.5506398 0.8215985 0.4030933 0.4030962 0.8216015 0.5506407 0.1475529 0.8215978 0.1475508 0.5506414 0.8215977 0.4030975 -0.4030921 0.8216016 -0.1475502 -0.5506417 0.8215977 -0.5506398 -0.1475526 0.8215985 -0.4030962 0.4030933 0.8216015 -0.1475529 0.5506407 0.8215978 -0.5506414 0.1475508 0.8215977 0.4030921 0.4030975 0.8216016 0.5506417 -0.1475502 0.8215977 0.1475526 -0.5506398 0.8215985 -0.4030933 -0.4030962 0.8216015 0 -1 0 0.7071094 -0.7071042 0 0 -1 0 0 -0.7071297 0.7070838 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.7071255 0.707088 1.77741e-6 -0.7071044 0.7071092 0 -1 0 0 -0.7071256 -0.7070881 0.7071094 -0.7071042 0 0 -0.7071256 -0.707088 0 -1 0 -0.7070839 -0.7071297 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1.20949e-5 -0.7071316 -0.707082 -0.7070764 -0.7071371 4.74128e-5 4.98365e-5 -0.7071375 -0.7070761 0 -1 0 -0.707085 -0.7071285 0 -0.7070834 -0.7071303 -3.47756e-6 -0.7070913 -0.7071223 4.99283e-7 4.98579e-5 -0.7071375 0.7070761 -0.7070765 -0.7071372 -4.74342e-5 -0.8660356 0 -0.4999822 -0.8660281 0 0.4999954 -0.8660281 0 0.4999954 0 0 -1 -0.8660356 0 -0.4999822 0.8660237 0 -0.500003 0 0 -1 0.8660161 0 0.5000162 0.8660237 0 -0.500003 0 -1 0 0 0 1 0 -1 0 0.8660161 0 0.5000162 0 0 1 -0.8660286 0 -0.4999943 -0.8660355 0 0.4999825 -0.8660355 0 0.4999825 0 0 -1 -0.8660286 0 -0.4999943 0.8660166 0 -0.5000152 0 0 -1 0.8660236 0 0.5000033 0.8660166 0 -0.5000152 0 -1 0 0 0 1 0.8660236 0 0.5000033 0 0 1 -0.8660355 0 -0.4999825 -0.8660286 0 0.4999943 -0.8660286 0 0.4999943 0 0 -1 -0.8660355 0 -0.4999825 0.8660236 0 -0.5000033 0 0 -1 0.8660166 0 0.5000152 0.8660236 0 -0.5000033 0 0 1 0.8660166 0 0.5000152 0 0 1 -0.8660281 0 -0.4999954 -0.8660356 0 0.4999822 -0.8660356 0 0.4999822 0 0 -1 -0.8660281 0 -0.4999954 0.8660161 0 -0.5000162 0 0 -1 0.8660237 0 0.500003 0.8660161 0 -0.5000162 0 0 1 0.8660237 0 0.500003 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3826916 0.9238762 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0.3826916 0.9238762 0 0 0 -1 0 0 -1 0 0 -1 0.3826932 0 -0.9238755 0.9238758 0 -0.3826926 0.3826932 0 -0.9238755 1 0 0 0.9238758 0 -0.3826926 0.9238789 0 -0.382685 1 0 0 0.382665 0 -0.9238872 0.9238789 0 -0.382685 0 0 -1 0.382665 0 -0.9238872 0.7071069 0.7071067 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0.7071069 0.7071067 0 0.382665 0 0.9238872 0 0 1 0.9238789 0 0.382685 0.382665 0 0.9238872 1 0 0 0.9238789 0 0.382685 0.9238758 0 0.3826926 1 0 0 0.3826932 0 0.9238755 0.9238758 0 0.3826926 0 0 1 0 0 1 0.3826932 0 0.9238755 1 0 0 1 0 0 0 0 -1 0 0 1 0 0 1 0 0 -1 -0.185895 0 -0.9825696 0 -1 0 0 -1 0 -0.3826794 0 -0.9238812 0 -1 0 -0.5663612 0.04202777 -0.8230848 -1 0 0 0 -1 0 -1 0 0 -0.9238789 0 -0.3826848 0 -1 0 -0.9825671 0 0.1859082 0 -1 0 -0.9238789 0 0.3826848 0 -1 0 -0.8230886 0.04202544 0.566356 -0.9801473 0.04291629 -0.1935701 0 -1 0 -0.3826794 0 0.9238813 0 -1 0 0 -1 0 0 -1 0 -0.1935571 0.04291772 0.9801499 0 -1 0 0 -1 0 0 -1 0 -0.5477303 0 0.836655 -0.8366576 0 -0.5477262 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 -0.7070818 -0.7071319 0 -0.7070818 -0.7071319 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 -0.7071042 -0.7071095 0 -0.7071042 -0.7071095 0 0 -1 0 0 -1 0 0 0 1 -1 0 0 -1 0 0 0 0.7071042 0.7071094 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 1 0 0 1 0 0 0 0.7071041 0.7071094 1 0 0 0.9238811 0.3826799 0 1 0 0 1 0 0 0.9238811 0.3826799 0 0 1 0 0 0 -1 0 1 0 0 0 -1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.7071042 -0.7071094 0 0.7071041 -0.7071094 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.8660356 0 -0.4999822 -0.8660286 0 0.4999945 -0.8660286 0 0.4999945 0 0 -1 -0.8660356 0 -0.4999822 0.8660359 0 -0.4999819 0 0 -1 0.8660288 0 0.4999941 0.8660359 0 -0.4999819 0 -1 0 0 0 1 0.8660288 0 0.4999941 0 -1 0 0 0 1 -0.8660286 0 -0.4999945 0 -1 0 -0.8660356 0 0.4999822 0 -1 0 -0.8660356 0 0.4999822 0 0 -1 -0.8660286 0 -0.4999945 0.8660288 0 -0.4999941 0 0 -1 0.8660358 0 0.4999819 0.8660288 0 -0.4999941 0 -1 0 0 0 1 0.8660358 0 0.4999819 0 -1 0 0 0 1 -0.8660286 0 -0.4999945 0 -1 0 -0.8660286 0 0.4999945 0 -1 0 -0.8660286 0 0.4999945 0 0 -1 -0.8660286 0 -0.4999945 0.8660288 0 -0.4999941 0 0 -1 0.8660288 0 0.4999941 0.8660288 0 -0.4999941 0 0 1 0.8660288 0 0.4999941 0 0 1 -0.8660356 0 -0.4999822 -0.8660286 0 0.4999946 -0.8660286 0 0.4999946 0 0 -1 -0.8660356 0 -0.4999822 0.8660359 0 -0.4999819 0 0 -1 0.8660288 0 0.4999943 0.8660359 0 -0.4999819 0 0 1 0.8660288 0 0.4999943 0 0 1 0 1 0 0.3826457 0 0.9238951 0 1 0 0.9238941 0 0.3826482 0.3826457 0 0.9238951 0 1 0 1 0 0 0 1 0 0.9238941 0 0.3826482 0 1 0 0.9238941 0 -0.3826482 1 0 0 0 1 0 0.3826457 0 -0.9238951 0.9238941 0 -0.3826482 0.3826457 0 -0.9238951 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 -0.4999969 0 0.8660271 0 -1 0 0.4993742 0.04988789 0.8649489 0.3826822 0 0.9238801 0 -1 0 -0.9977643 0.06683081 0 -0.4607535 0.02229803 0.887248 -0.9298073 -0.02943772 0.3668677 0 -1 0 -0.4993727 0.04987955 -0.8649502 0 -1 0 0 -1 0 -0.9233455 -0.03377115 -0.3824822 0 -1 0 0.4999949 0 -0.8660284 -0.3826962 0 -0.9238742 0 -1 0 0.9977633 0.06684547 0 0.9297903 -0.02943307 -0.3669111 0.4607437 0.02230226 -0.8872529 0 -1 0 0 -1 0 0.9233497 -0.03375798 0.3824734 0 -1 0 -0.4999968 0 0.8660273 0 -1 0 0.4993745 0.04988038 0.8649491 0.3826962 0 0.9238742 0 -1 0 -0.9977633 0.06684547 0 0 -1 0 -0.4607533 0.02229803 0.887248 -0.9297918 -0.0294348 0.3669071 0 -1 0 -0.4993723 0.04988712 -0.8649501 0 -1 0 -0.9233462 -0.03375732 -0.3824817 0 -1 0 0.4999951 0 -0.8660283 0 -1 0 -0.382682 0 -0.9238801 0 -1 0 0.9977643 0.06683081 0 0.9298058 -0.02943593 -0.3668718 0.4607439 0.02230226 -0.8872529 0 -1 0 0.923349 -0.03377181 0.3824738 -0.8660284 0 -0.4999948 0 -1 0 -0.8660354 0 0.4999828 -0.8660354 0 0.4999828 0 -1 0 0 0 -1 0 -1 0 -0.8660284 0 -0.4999948 0 -1 0 0.8660166 0 -0.5000153 0 0 -1 0 -1 0 0.8660236 0 0.5000033 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.8660166 0 -0.5000153 0 -1 0 0 0 1 0 -1 0 0.8660236 0 0.5000033 0 -1 0 0 0 1 0 -1 0 -0.8660166 0 -0.5000153 0 -1 0 -0.8660236 0 0.5000033 0 -1 0 0 -1 0 -0.8660236 0 0.5000033 0 -1 0 0 0 -1 0 -1 0 -0.8660166 0 -0.5000153 0 -1 0 0.8660284 0 -0.4999948 0 0 -1 0 -1 0 0.8660354 0 0.4999828 0 -1 0 0 -1 0 0.8660284 0 -0.4999948 0 -1 0 0 0 1 0 -1 0 0.8660354 0 0.4999828 0 -1 0 0 0 1 -0.8660284 0 -0.4999948 0 -1 0 -0.8660343 0 0.4999846 -0.8660343 0 0.4999846 0 0 -1 -0.8660284 0 -0.4999948 0.8660166 0 -0.5000153 0 0 -1 0 -1 0 0.8660225 0 0.5000051 0 -1 0 0.8660166 0 -0.5000153 0 -1 0 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.8660225 0 0.5000051 0 0 1 -0.8660166 0 -0.5000153 0 -1 0 -0.8660225 0 0.5000051 -0.8660225 0 0.5000051 0 0 -1 -0.8660166 0 -0.5000153 0.8660284 0 -0.4999948 0 0 -1 0 -1 0 0.8660343 0 0.4999846 0 -1 0 0.8660284 0 -0.4999948 0 -1 0 0 0 1 0.8660343 0 0.4999846 0 0 1 0 -1 0 0 0 -1 0.25857 -0.04325765 -0.9650235 0.1444795 0 -0.9895079 0 0 -1 -1 0 0 0 0 -1 0 0 -1 0 0 -1 -1 0 0 0 0 -1 0 0 -1 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -0.3827427 0 0.923855 -0.9238547 0 0.3827432 -0.3827427 0 0.923855 -1 0 0 -0.9238547 0 0.3827432 -1 0 0 -1 0 0 -1 0 0 -0.9238576 0 -0.3827363 -1 0 0 0 -1 0 -0.3827427 0 -0.923855 -0.9238576 0 -0.3827363 0 -1 0 0 0 -1 0 0 -1 0 0 -1 -0.3827427 0 -0.923855 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 0.2588171 0 0.9659263 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0.7070073 -0.01678675 0.7070071 0 -1 0 0.4213457 0.008423924 0.906861 0.1440448 -0.07732659 0.9865453 0 -1 0 0.9655064 -0.02948468 0.2587046 0 -1 0 0.8492625 0.01278603 0.5278161 0.6621018 -0.05269998 0.7475586 1 0 0 0.9458789 -0.06230419 0.318483 0.9949641 0 0.1002313 0.9659264 0 -0.258817 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.706565 -0.03923451 -0.7065597 0.8492652 0.01278537 -0.5278118 0.9512752 -0.02226072 -0.3075386 0.9876565 -0.1108529 -0.1106624 0.4213439 0.008427202 -0.9068618 0.6629662 -0.01249027 -0.7485451 0 1 0 0.8660133 0 -0.5000211 0 1 0 0.8658374 -0.01997917 0.4999264 0.9238762 0 0.3826915 0 1 0 0 -0.02678269 -0.9996412 0 1 0 -0.8658533 -0.0199725 -0.4998992 0 1 0 0 1 0 -0.3826612 0.01351517 -0.9237899 0 1 0 -0.8660231 0 0.5000042 0 1 0 -0.9238725 0 -0.3827004 0 1 0 0 -0.02678871 0.9996411 0 1 0 0 1 0 0 1 0 0.3826472 0.01350808 0.9237958 0.8660261 0 -0.4999989 0.8658503 -0.01997524 0.4999044 0.9238759 0 0.3826921 0 1 0 0 -0.02678269 -0.9996412 0 1 0 -0.8658405 -0.01997649 -0.4999213 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3826471 0.01351362 -0.9237957 0 1 0 -0.8660103 0 0.5000262 -0.9238728 0 -0.3826998 0 1 0 0 -0.02678871 0.9996411 0 1 0 0 1 0 0.3826613 0.01350963 0.9237899 0 1 0 0.8660282 0 -0.4999952 0 1 0 0.8653279 -0.04021263 0.4995904 0 1 0 0.9949355 0 0.1005163 0.9949355 0 0.1005164 0 -1.19209e-5 -1 0.8659107 4.69546e-5 -0.5001984 0 1 0 -0.8660282 4.69595e-5 -0.4999952 0 -1.19209e-5 -1 0 1 0 -0.8653279 -0.04021263 0.4995904 0 1 0 -0.8659107 0 -0.5001984 -0.9949355 0 0.1005163 0 1 0 0 -0.02029693 0.9997939 -0.7856795 0.0170288 0.6183993 0 1 0 0 1 0 -0.01471418 -0.03058308 0.9994239 0.7726085 0.02527976 0.6343793 0 1 0 0.8660282 0 -0.4999951 0 1 0 0.8660283 4.99164e-5 0.4999951 0 1 0 0.9999139 0 0.0131191 0.834128 -0.01205271 0.5514394 0.9993261 -2.65167e-4 0.03670704 0 1 0 0 -0.1065828 -0.9943038 0 1 0 0.9585092 -0.1121237 -0.2620846 0.3811917 0.05354124 -0.9229443 -0.8639819 -0.06870418 -0.4988136 0 1 0 0 1 0 0 1 0 -0.3781113 0.05216491 -0.9242894 -0.8660282 0 0.4999951 -0.9300317 0 -0.3674795 0 -6.00704e-6 1 -0.8409207 0.009625554 0.5410728 -0.8659034 4.99112e-5 0.5002112 -0.8977087 -0.3171904 -0.3057932 -0.8532601 0 0.5214855 -0.9107483 -0.3083599 -0.2746849 0 -6.00704e-6 1 0 1 0 -0.6546235 0.6546399 0.3780407 0 1 0 -0.654658 0.6545899 -0.3780676 0 1 0 -0.654648 0.6546644 -0.3779558 0 1 0 0 0.6546897 0.7558977 0 1 0 -0.6547302 0.6545617 0.3779913 0 1 0 0.6546528 0.6546005 0.3780583 0 1 0 0 1 0 0 0.6546897 0.7558977 0 1 0 0.6546199 0.6546403 -0.3780462 0 1 0 0.6546441 0.6546645 0.3779622 0 1 0 0 0.6546877 -0.7558994 0 1 0 0.6547024 0.6545799 -0.378008 0 1 0 0 1 0 0 0.6546877 -0.7558994 0 1 0 -0.6546216 0.654642 0.3780403 0 1 0 -0.6546493 0.6546011 -0.3780631 0 1 0 -0.6546412 0.6546615 -0.3779727 0 1 0 0 0.6546897 0.7558977 -0.6547091 0.6545779 0.3779997 0.6546615 0.6545892 0.3780627 0 1 0 0 1 0 0 1 0 0 0.6546898 0.7558977 0.6546217 0.6546381 -0.3780465 0.654651 0.6546674 0.3779454 0 1 0 0 0.6546877 -0.7558994 0.6547234 0.6545637 -0.3779994 0 1 0 0 1 0 0 0.6546878 -0.7558994 0 1 0 -0.6546217 0.6546381 0.3780465 0 1 0 -0.6546579 0.6545906 -0.3780664 0 1 0 -0.654648 0.6546644 -0.3779558 0 1 0 0 0.6546784 0.7559075 0 1 0 -0.6547333 0.6545565 0.3779949 0 1 0 0.6546528 0.6545965 0.3780652 0 1 0 0 1 0 0 0.6546784 0.7559075 0 1 0 0.6546201 0.6546406 -0.3780452 0.6546437 0.654664 0.3779639 0 1 0 0 0.6546897 -0.7558977 0 1 0 0.6547017 0.654581 -0.3780075 0 1 0 0 1 0 0 0.6546898 -0.7558977 0 1 0 -0.6546199 0.6546403 0.3780462 0 1 0 -0.6546491 0.6546018 -0.378062 -0.6546412 0.6546615 -0.3779727 0 1 0 0 0.6546784 0.7559075 0 1 0 -0.6547122 0.6545726 0.3780034 0.6546615 0.6545853 0.3780695 0 0.6546784 0.7559075 0.654622 0.6546385 -0.3780456 0.6546505 0.6546669 0.377947 0 1 0 0 0.6546897 -0.7558977 0.6547227 0.6545647 -0.377999 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6546897 -0.7558977 0 1 0 -0.9237725 0 0.3829417 0 1 0 -0.9237725 -3.12021e-5 -0.3829417 0 1 0 -0.9238662 0 -0.3827158 0 1 0 -0.3829427 -3.12693e-5 0.9237721 0 1 0 -0.9238662 -3.11989e-5 0.3827158 0 1 0 0.3829427 0 0.9237721 0 1 0 -0.3827163 0 0.923866 0 1 0 0.9237949 -3.1316e-5 0.3828877 0.382716 -3.13136e-5 0.923866 0 1 0 0.9237949 0 -0.3828877 0.9238889 0 0.3826609 0 1 0 0.3828887 -3.13161e-5 -0.9237945 0.9238889 -3.13125e-5 -0.3826609 0 1 0 -0.3828887 0 -0.9237945 0 1 0 0.3826619 0 -0.9238884 0 1 0 -0.3826623 -3.12654e-5 -0.9238884 0 1 0 -0.9237949 0 0.3828877 -0.9237949 -3.1316e-5 -0.3828877 -0.9238889 0 -0.3826609 0 1 0 -0.3829427 -3.13168e-5 0.9237721 -0.9238889 -3.13129e-5 0.3826609 0.3829427 0 0.9237721 -0.382716 0 0.923866 0.9237725 -3.12021e-5 0.3829417 0.3827163 -3.12661e-5 0.923866 0.9237725 0 -0.3829417 0.9238662 0 0.3827158 0.3828887 -3.12685e-5 -0.9237945 0.9238662 -3.11969e-5 -0.3827158 -0.3828887 0 -0.9237945 0.3826623 0 -0.9238884 -0.3826619 -3.13129e-5 -0.9238884 0 1 0 -0.9237725 0 0.3829417 0 1 0 -0.923771 -3.11546e-5 -0.3829455 0 1 0 -0.9238644 0 -0.3827199 0 1 0 -0.3828887 -3.12685e-5 0.9237945 0 1 0 -0.9238662 -3.11989e-5 0.3827158 0 1 0 0.3828887 0 0.9237945 0 1 0 -0.3826623 0 0.9238884 0 1 0 0.9237949 -3.1316e-5 0.3828877 0.3826619 -3.13129e-5 0.9238884 0 1 0 0.9237933 0 -0.3828915 0.9238889 0 0.3826609 0 1 0 0.3829427 -3.12021e-5 -0.9237721 0 1 0 0.9238871 -3.12653e-5 -0.382665 0 1 0 -0.3829427 0 -0.9237721 0 1 0 0 1 0 0 1 0 0.3827168 0 -0.9238657 0 1 0 -0.3827171 -3.11514e-5 -0.9238656 0 1 0 -0.9237949 0 0.3828877 0 1 0 -0.9237933 -3.12686e-5 -0.3828915 -0.9238871 0 -0.382665 -0.3828887 -3.13161e-5 0.9237945 -0.9238889 -3.13129e-5 0.3826609 0.3828887 0 0.9237945 -0.3826619 0 0.9238884 0.9237725 -3.12021e-5 0.3829417 0.3826623 -3.12654e-5 0.9238884 0.923771 0 -0.3829455 0.9238662 0 0.3827158 0.3829427 -3.11546e-5 -0.9237721 0.9238644 -3.11497e-5 -0.3827199 -0.3829427 0 -0.9237721 0.3827171 0 -0.9238656 -0.3827168 -3.11989e-5 -0.9238657 0.7070883 0.7071253 0 0.7070927 0.7071208 0 0.7071025 0.7071111 8.69229e-7 0.7070796 0.707134 -5.48724e-6 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0.3826813 0 0.9238805 0 0 1 0 0 1 0 0 1 0 0 1 0.9238819 0 0.3826779 0.3826813 0 0.9238805 1 0 0 1 0 0 0.9238819 0 0.3826779 0.9238807 0 -0.3826807 0 1 0 0.3826882 0 -0.9238775 0.9238807 0 -0.3826807 0 0 -1 0.3826882 0 -0.9238775 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.3826885 0 0.9238774 0.9238806 0 0.3826807 0.3826885 0 0.9238774 1 0 0 1 0 0 0.9238806 0 0.3826807 0 1 0 0.9238821 0 -0.3826772 0 1 0 0 1 0 0.3826813 0 -0.9238805 0 1 0 0 1 0 0.9238821 0 -0.3826772 0 0 -1 0.3826813 0 -0.9238805 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0.8660273 0.4999967 0 0.8654374 -0.4996561 -0.03690415 0.9152876 -0.402801 0 0 0.9999125 -0.01323086 0.9218269 0.3822529 -0.06417077 0.6013051 0.7990068 0.004506647 -0.8655697 0.4997324 -0.03250509 0.1652681 0.9837039 -0.07080328 0.002548217 0.9996092 -0.02783632 -0.5416189 0.8405062 0.01408892 -0.8660273 -0.4999966 0 -0.9451243 0.3267109 0 0 -0.9996174 -0.02766036 -0.5416189 -0.8405062 0.01408928 -0.9439554 -0.3263078 -0.04971307 0.517899 -0.8554035 0.008091688 -0.003523707 -0.999592 -0.02834165 0 1 0 0 1 0 0 1 0 0.8654502 0.03235453 0.4999492 0 1 0 -0.8654502 0.03235459 0.4999492 -0.9949355 0 0.1005164 0 0.01532071 0.9998826 -0.7782726 -0.01742249 0.6276848 0.01087999 0.02086985 0.999723 0.7871506 -0.01286262 0.6166266 0 0 -1 -0.7808806 0.62456 -0.01225113 0 0 -1 -0.9884397 0.1508874 0.01482266 -0.7883833 -0.6150743 -0.01163446 -0.9885482 -0.1509011 0.001137793 -0.9434754 -0.3314008 0.005263984 -0.01417768 -0.9998539 -0.009558856 -0.5290797 -0.8485487 0.006316602 0.7848277 -0.6197133 -0.001006007 0.1177647 -0.9930412 7.35167e-4 0 0 -1 0 0 -1 0.9885489 -0.1509012 1.0067e-4 0.9466138 -0.3223698 -2.10317e-4 0.7128708 -0.7011983 -0.01167452 0.7931106 0.6090771 -7.38389e-4 0.9885479 0.1509038 0.001150071 0.9941438 0.1080664 1.71967e-4 0.0106579 0.9999431 -4.0569e-4 0.712917 0.7012484 3.03603e-4 0.9426831 0.3320193 -0.03334289 0.1177541 0.9929744 -0.01165777 -0.52908 0.8485505 0.006031453 0.3846859 -0.03926199 -0.9222123 0.3993152 0.9168137 0 0 0.07630807 -0.9970843 -0.3850628 -0.03938198 -0.9220498 -0.4049888 0.9142094 -0.01432925 -0.4999606 0.8660481 0 0.9306652 0 -0.3658719 0.9277636 0.3730745 0.008378028 0.864716 0.05251872 -0.4995079 0.7504513 0.6609062 -0.005092144 0.2791324 0.9601625 0.01315832 0.8659034 0 0.5002112 0.9315298 -0.3636649 0 0.9413927 0.2444596 -0.2324201 0.9999141 0 0.0131191 0.9936964 0.1121047 0 0.9450884 0.3267624 0.0058434 0 1 0 0 1 0 0 1 0 0 1 0 -0.8659109 0 -0.5001981 -0.9527038 0.08108097 -0.2928845 -0.9999139 0 0.0131191 -0.9993243 2.16951e-4 0.0367552 -0.9283303 0.3716849 0.007301032 -0.927444 -0.3738878 0.007445931 -0.9999141 0 0.0131191 -0.9998735 0 -0.01591151 0.3979749 -0.9173473 0.009486317 0.9445249 -0.328288 0.009985446 0.7504512 -0.6609061 -0.005103588 0.9930897 -0.1148404 0.02417582 -0.3977095 -0.9175114 0 0.2791597 -0.9602447 0 -0.4999261 -0.8659884 -0.01175063 -0.9993163 0 0.03697186 -0.9993163 0 0.0369718 0.9505182 0.2365556 -0.2013869 0.8531268 0 0.5217037 0.9993163 0 0.0369718 0.9993163 0 0.03697186 0 1 0 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -0.8660273 0.4999967 0 -0.8655697 -0.4997325 0.03250485 -0.945124 -0.3267118 0 0 0.9996174 0.02766078 -0.9439557 0.326307 0.04971325 -0.5416188 0.840506 -0.01408886 0.8654385 0.4996567 0.03687047 0.517675 0.8555391 -0.008085906 -0.003696382 0.9995905 0.02837544 0.8660273 -0.4999967 0 0.9152371 0.4029157 0 0 -0.9999117 0.01328998 0.6004334 -0.7996621 -0.004513621 0.9215912 -0.382875 0.0638464 0.1647254 -0.9838069 0.07063728 0.002665638 -0.9996088 0.02784389 -0.5416188 -0.8405061 -0.01408928 1 0 0 0 0.5002173 -0.8658999 1 0 0 -6.20406e-5 -0.5002182 -0.8658993 0 -0.4999904 -0.866031 8.51491e-6 1 0 -6.20527e-5 0.4999893 -0.8660315 -5.94489e-5 0.50021 0.8659042 8.51491e-6 1 0 0 -0.500211 0.8659036 0 0.4999916 0.8660303 1 0 0 8.51491e-6 -1 0 1 0 0 -5.9461e-5 -0.4999926 0.8660297 8.51491e-6 -1 0 0 0.50021 0.8659042 5.94489e-5 -0.500211 0.8659036 0 -0.4999926 0.8660297 -8.51491e-6 1 0 5.94601e-5 0.4999916 0.8660303 6.20406e-5 0.5002173 -0.8658999 -8.51491e-6 1 0 0 -0.5002182 -0.8658993 0 0.4999893 -0.8660315 -8.51491e-6 -1 0 6.20498e-5 -0.4999904 -0.866031 -8.51491e-6 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 1 0 0 1 0 -1 0 0 -1 0 0 0 1 0 -0.8660263 0 0.4999983 0 1 0 -0.8655123 -0.03435516 -0.4997079 0 1 0 -0.9832137 0 -0.1824576 -0.8271322 -0.05157053 -0.5596364 0 1 0 0 -0.04402709 0.9990304 0 1 0 -0.829275 -0.028427 0.5581172 -0.391054 0.0237711 0.9200607 -0.9711686 -0.1094898 0.2117633 0.8655153 -0.03435295 0.499703 0.3910573 0.023772 0.9200593 0.8660237 0 -0.5000029 0.9814664 0 0.1916345 0.820847 -0.05418866 0.5685716 0 -0.04402709 -0.9990304 0.8292963 -0.02842772 -0.5580856 0.3910573 0.023772 -0.9200593 0.9711794 -0.1095117 -0.2117021 0 1 0 -0.391054 0.0237711 -0.9200607 0 1 0 -0.866024 0 0.5000026 0 1 0 -0.8655152 -0.03435534 -0.4997031 0 1 0 -0.9831821 0 -0.1826275 -0.8271155 -0.05157923 -0.5596602 0 1 0 0 -0.04402709 0.9990304 0 1 0 -0.3910558 0.0237714 0.92006 -0.8293725 -0.02844196 0.5579716 -0.9712226 -0.1095954 0.2114602 0.8655129 -0.03435224 0.4997072 0.3910591 0.02377235 0.9200586 0.8660266 0 -0.499998 0.8206105 -0.05428421 0.5689038 0.9814163 0 0.1918907 0 -0.04402649 -0.9990304 0.9729176 -0.112976 -0.2016623 0.3910573 0.02377253 -0.9200593 0.8345442 -0.0292555 -0.5501638 0 1 0 -0.391054 0.02377164 -0.9200607 0 0.4999964 0.8660275 0.04743063 -0.4994339 0.8650527 0.06147271 -0.5301918 0.8456464 0.02664244 -0.422762 0.905849 0.01739352 -0.3862545 0.9222282 0 -0.2588151 0.9659269 0 1 0 0 0.7071069 0.7071067 0.06456935 0.2582747 0.9639112 0 0.5000024 -0.866024 0 0.9659232 -0.2588289 0.06457233 0.9639073 0.2582889 0 -0.5000026 -0.8660238 0 0.2588116 -0.9659278 0.06457209 0.7056406 -0.7056216 0.03766298 -0.9992905 0 0.05071353 -0.4734984 -0.8793335 -0.01012843 -0.846275 -0.5326501 0.09713548 -0.1216627 -0.9878072 -0.008934736 -0.8409776 0.5409962 0.01952344 -0.9804945 0.1955743 0.135111 -0.9693868 -0.2050222 0 -0.5000026 -0.8660238 0 0.5000024 -0.866024 0 0.2588148 -0.965927 0.06457149 0.7056389 -0.7056233 0.03348976 -0.9994391 0 0.09733492 -0.1207919 -0.9878942 -0.008884727 -0.840766 -0.5413258 0.05049192 -0.4752756 -0.8783869 0.04743403 -0.4994398 0.8650491 0.1381789 -0.9664878 -0.2163515 0.01962685 -0.98056 0.1952353 -0.008965313 -0.8411256 0.5407656 0 0.5000024 0.866024 0 -0.2588151 0.9659269 0.01741683 -0.3864222 0.9221576 0.06125199 -0.5297114 0.8459634 0.0262767 -0.4214367 0.906477 0 1 0 0 0.7071145 0.707099 0.06457126 0.2582747 0.9639112 0 0.965922 -0.2588335 0.06457161 0.9639075 0.258288 0.3136594 0.597525 0.7379577 -0.2144405 0.8363419 0.504527 0.1159465 0.8518723 0.5107544 -0.009229242 -0.630496 0.7761377 0.03888815 -0.8490297 0.5269122 -0.06042414 -0.7058149 0.7058147 0 -0.9813805 0.1920738 -0.1074867 -0.973732 -0.2007305 0 -0.9659228 -0.25883 -0.07413953 -0.9632645 0.2581178 -0.3135174 0.5979983 -0.7376347 -0.01632732 -0.6414265 -0.7670106 0.04398423 -0.8550376 -0.5166972 -0.06043046 -0.705824 -0.705805 0.2143748 0.8364535 -0.50437 -0.1158526 0.8518415 -0.5108272 -0.004245758 -0.5883699 -0.8085808 0.02951884 -0.2586991 -0.9655069 -0.8503236 0.1261034 -0.5109284 0 0.451225 0.8924103 -0.8502529 -0.1267494 -0.5108859 0.01036983 -0.4617723 0.886938 0.004526019 -0.3268654 0.9450601 0.009234786 -0.4372614 0.899287 0 -0.1116673 0.9937456 0.01057273 -0.4657834 0.8848357 -0.8567134 0.2386879 -0.4572422 0.00274831 0.9402278 0.3405349 -0.8571214 0.2484535 -0.4512358 0.02795273 0.1146455 0.9930132 -0.002828717 0.7140017 0.7001382 0.008897662 0.4661232 0.8846752 0.01504987 0.329804 0.9439294 0.01018548 0.4372209 0.8992965 -0.852254 0.2099731 -0.4791393 0.002820074 0.9748783 -0.2227206 4.61571e-4 0.9603062 0.2789478 -4.20827e-4 0.9924821 -0.1223891 -0.8156432 0.1889174 -0.5468422 0.003020346 0.7113767 -0.7028045 -0.002048969 0.8473736 -0.5309933 0.02004504 0.2587596 -0.9657337 -0.008269488 0.2558901 -0.9666706 -0.7661094 -0.166341 -0.6208117 0 -0.4992424 -0.8664624 0 0.3816577 -0.9243037 -0.8491197 0.3734991 -0.3734891 -0.8491191 0.5102019 -0.1367138 -0.8491191 0.5102019 0.1367139 -0.8491188 0.3734952 0.3734951 -0.8491181 0.1367067 0.5102055 -0.8491181 -0.1367069 0.5102055 -0.8571282 -0.2491495 -0.4508389 -0.8491187 -0.3734953 0.3734952 -0.8491191 -0.5102019 0.1367145 -0.8491191 -0.5102019 -0.1367143 -0.8491196 -0.3734993 -0.3734892 -0.8516885 -0.2089056 -0.4806091 0.002230882 -0.9690555 -0.2468331 0.006578207 -0.4307538 -0.9024454 -0.002723276 -0.9217768 -0.3877112 -0.8566409 -0.2374207 -0.4580367 0.003213644 -0.9507424 0.3099653 -0.002009749 -0.9894101 0.1451332 -0.004064798 -0.7424423 0.6698977 0.3363041 -0.2962396 0.8939472 0.4149785 -0.9098153 -0.005400061 0.09304964 -0.9952253 0.02947032 0.6873524 -0.7248881 0.04564994 0.3450265 -0.3050225 0.8876474 0.6465582 -0.6818661 0.3420835 0.6851089 0.7225248 0.09264791 0.3449043 0.3048802 0.8877438 0.6465642 0.6818751 0.3420544 0.4453204 0.8952858 -0.01237511 0.09302335 0.9949151 0.03860813 0.3364525 0.2963702 0.8938481 0 0 -1 -0.9984918 0.05076402 0.02091079 -0.9987101 -0.05077606 0 -0.9434888 0.3314045 0 0 0 -1 0.9987091 -0.050776 0.00140351 0.99871 0.05077511 0 0.9941211 -0.1082732 0 0.3129289 0.3077504 -0.898535 0.004371285 0.3232635 -0.9462989 0.009216964 0.4369053 -0.8994603 0.05483937 0.4624392 -0.8849534 0.3221569 0.3179223 -0.8917064 0.4272652 0.4505996 -0.7838395 -0.2575717 0.4130994 -0.873502 0.0550602 0.5888867 -0.8063378 -0.481698 0.1691985 -0.8598482 -0.3050965 0.473461 -0.8262873 -0.5067153 -0.1779865 -0.8435404 -0.5069683 0.175249 -0.8439615 0 0.1083574 -0.994112 0.03027474 -0.1117572 -0.9932742 0 -0.4655796 -0.885006 0.01679307 -0.3272546 -0.944787 0.3132783 -0.3080924 -0.8982961 0.01157784 -0.4364277 -0.8996648 -0.2575739 -0.4131021 -0.8735001 -0.4827727 -0.1668855 -0.8596974 -0.3050964 -0.473461 -0.8262874 0.05483949 -0.4624295 -0.8849586 0.05506032 -0.5889052 -0.8063244 0.3218627 -0.3175538 -0.8919439 0.4272692 -0.4506019 -0.783836 -0.8503244 0.1261044 0.5109267 -0.8502538 -0.1267507 0.5108844 0.009661793 0.4477217 -0.8941208 0.0105527 0.4653772 -0.8850496 -0.8491178 0.1367069 -0.5102061 -0.8491178 -0.136707 -0.510206 -0.8491178 0.3735003 -0.3734921 -0.8491189 0.5102018 -0.1367163 -0.8491191 0.510202 0.1367134 -0.8491199 0.3734982 0.3734899 -0.8571218 0.2484824 0.451219 -0.8491197 -0.3734983 0.37349 -0.8571286 -0.2491805 0.4508211 -0.8491191 -0.510202 0.136714 -0.8491188 -0.5102018 -0.1367169 -0.8491178 -0.3735005 -0.3734923 0.02944374 -0.2587029 -0.9655082 0.02006 0.2587627 0.9657326 -0.8156403 0.1889205 0.5468453 -0.8522431 0.2099708 0.4791595 -0.8567172 0.2387859 0.4571838 0 0.2567514 0.9664775 -0.7661054 -0.1663443 0.6208156 0.008240759 -0.5007701 0.8655412 0 -0.3824295 0.9239847 0.002640664 0.7112929 0.7028908 -0.00773406 0.4257404 0.9048123 0.00266844 0.9748593 0.2228051 -0.002884745 0.9219378 0.3873272 0.00339359 0.9401009 -0.3408794 -0.002289772 0.9892984 -0.145889 -0.00438565 0.7421569 -0.6702119 -0.06043154 -0.7058222 0.7058066 -0.8566403 -0.2374251 0.4580357 -0.8516877 -0.2089093 0.4806088 -0.009252786 -0.6305289 0.7761106 -0.07398939 -0.9632755 0.2581198 0.03871768 -0.8488376 0.5272338 0 -0.9659217 -0.2588346 0 -0.9813452 0.192254 -0.06043154 -0.7058222 -0.7058066 -0.1075081 -0.9737313 -0.2007221 0.04407292 -0.8551408 -0.5165188 -0.01621687 -0.6412539 -0.7671573 -0.004202842 -0.5879799 -0.8088645 0.002330243 -0.9509071 -0.3094675 -0.002389848 -0.714248 -0.6998887 0.01021993 -0.4651473 -0.8851743 0.002820968 -0.9691249 0.2465544 0.001111686 -0.9603654 -0.2787418 -8.63158e-4 -0.9925341 0.1219639 -0.002095758 -0.8480038 0.5299859 0.2152736 0.8349435 -0.5064846 0.312741 0.6006583 0.7358007 0.113819 0.8527848 0.5097092 -0.2152971 0.8349007 0.5065451 -0.3127358 0.6006669 -0.7357959 -0.1138415 0.8527465 -0.5097681 -0.1335251 0.2312965 0.9636768 0.09920084 0.3412321 0.9347299 -0.1051638 0.1631975 0.9809726 0.09255188 0.9898727 -0.1076392 -0.1035454 -0.1793648 0.9783182 0.09920042 -0.3412265 0.934732 0.09254884 -0.9898688 -0.1076778 -0.1611562 0 0.986929 -0.1517395 -0.2354757 0.9599616 -0.8919469 -0.3083295 0.330702 -0.8919427 0.3083271 0.3307151 0.503717 0.838297 0.208632 0.503717 0.838297 -0.2086319 0.2086582 0.8383035 0.5036954 -0.2086584 0.8383035 0.5036954 -0.5036962 0.838303 0.2086584 -0.5036962 0.838303 -0.2086584 -0.2086325 0.8382974 -0.5037161 0.2086323 0.8382975 -0.5037161 0.5036962 0.838303 0.2086584 0.5036962 0.838303 -0.2086584 0.2086584 0.8383035 0.5036954 -0.2086582 0.8383035 0.5036954 -0.503717 0.838297 0.208632 -0.503717 0.838297 -0.208632 -0.2086323 0.8382975 -0.5037161 0.2086325 0.8382974 -0.5037161 0.503717 0.838297 0.208632 0.5037167 0.8382966 -0.2086345 0.2086323 0.8382975 0.5037161 -0.2086325 0.8382974 0.5037161 -0.5036962 0.838303 0.2086584 -0.5036959 0.8383025 -0.2086609 -0.2086601 0.8383013 -0.5036982 0.2086599 0.8383014 -0.5036982 0.5036962 0.838303 0.2086584 0.5036959 0.8383025 -0.2086609 0.2086325 0.8382974 0.5037161 -0.2086323 0.8382975 0.5037161 -0.503717 0.838297 0.208632 -0.5037167 0.8382966 -0.2086346 -0.2086599 0.8383014 -0.5036982 0.2086601 0.8383013 -0.5036982 0.6851148 -0.7225282 -0.09257775 0.4452478 -0.895322 0.01236772 0.09302079 -0.9949168 -0.03857278 0.4152284 0.9097009 0.005446732 0.09305208 0.9952223 -0.02956044 0.6873437 0.7248817 -0.04588466 0.8216181 0.2850143 0.4936703 0.821618 -0.285015 0.4936702 0.8216215 0.5700334 0 0.8216128 0.2850169 -0.4936779 0.8216127 -0.2850176 -0.4936777 0.8216209 -0.5700344 0 -0.8216105 0.2850185 -0.4936806 -0.8216103 -0.2850192 -0.4936805 -0.8216193 0.5700366 0 -0.8216159 0.285016 0.4936732 -0.8216158 -0.2850166 0.4936731 -0.8216187 -0.5700377 0 0 0 -1 0.7302086 0.1955749 -0.6546342 0 0 -1 0.1955786 0.730249 -0.6545879 0 0 -1 0 0 -1 0 0 -1 0.1956336 0.7301832 -0.654645 0 0 -1 0.5345085 -0.5345097 -0.6546754 0 0 -1 0 0 -1 0 0 -1 0.7302439 0.1956714 -0.6545659 0 0 -1 -0.1955811 -0.7302485 -0.6545877 0 0 -1 0.5344962 -0.5345119 -0.6546838 0 0 -1 -0.7302135 -0.1955845 -0.6546258 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.1956334 -0.7301861 -0.6546418 0 0 -1 -0.5345101 0.5345095 -0.6546744 -0.7302455 -0.1956718 -0.6545639 0 0 -1 -0.5344929 0.5345125 -0.6546861 0 0 -1 -0.1955749 0.7302086 -0.6546342 0 0 -1 -0.730249 0.1955786 -0.6545879 0 0 -1 -0.7301832 0.1956336 -0.654645 0 0 -1 0.5345097 0.5345085 -0.6546754 0 0 -1 -0.1956714 0.7302439 -0.6545659 0 0 -1 0.7302485 -0.1955811 -0.6545877 0 0 -1 0 0 -1 0.5345119 0.5344962 -0.6546838 0 0 -1 0.1955845 -0.7302135 -0.6546258 0.7301861 -0.1956334 -0.6546418 0 0 -1 -0.5345095 -0.5345101 -0.6546744 0 0 -1 0.1956718 -0.7302455 -0.6545639 0 0 -1 0 0 -1 -0.5345125 -0.5344929 -0.6546861 0 0 -1 -0.7302086 -0.1955749 -0.6546342 0 0 -1 -0.1955786 -0.730249 -0.6545879 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.1956336 -0.7301832 -0.654645 0 0 -1 -0.5345085 0.5345097 -0.6546754 0 0 -1 0 0 -1 0 0 -1 -0.7302439 -0.1956714 -0.6545659 0 0 -1 0.1955811 0.7302485 -0.6545877 0 0 -1 -0.5344962 0.5345119 -0.6546838 0 0 -1 0.7302135 0.1955845 -0.6546258 0 0 -1 0 0 -1 0.1956334 0.7301861 -0.6546418 0 0 -1 0.5345101 -0.5345095 -0.6546744 0.7302455 0.1956718 -0.6545639 0.5344929 -0.5345125 -0.6546861 0 0 -1 0.1955749 -0.7302086 -0.6546342 0 0 -1 0.730249 -0.1955786 -0.6545879 0 0 -1 0.7301832 -0.1956336 -0.654645 0 0 -1 -0.5345097 -0.5345085 -0.6546754 0 0 -1 0.1956714 -0.7302439 -0.6545659 0 0 -1 -0.7302485 0.1955811 -0.6545877 0 0 -1 -0.5345119 -0.5344962 -0.6546838 0 0 -1 -0.1955845 0.7302135 -0.6546258 0 0 -1 -0.7301861 0.1956334 -0.6546418 0 0 -1 0.5345095 0.5345101 -0.6546744 0 0 -1 -0.1956718 0.7302455 -0.6545639 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.5345125 0.5344929 -0.6546861 -0.4669885 0.8842634 0 -0.2921965 0.9563583 -7.48166e-5 -0.2922882 0.9563302 0 -0.2678663 0.9634023 0.01019239 -0.524424 0.8510826 0.02525657 -0.4446793 0.8956797 0.004277467 -0.3434011 0.9391843 -0.002942144 0 0 -1 -0.1770327 0.984205 0 -0.2233989 0.9747271 0 0 0 -1 -0.2048252 0.9787726 0.007126748 0.393258 0.9194282 0 -0.4634676 0.8741726 0.144983 -0.379419 0.925225 0 0.9966206 -0.08214229 0 0.393258 0.9194282 0 0.7604042 -0.6494502 0 0.9966206 -0.08214229 0 0.1998938 -0.7540228 0.6256933 0.1886995 -0.5040965 -0.8427806 0.7604699 -0.6493732 1.4811e-4 -0.1811478 -0.5977482 0.7809498 -0.03825581 -0.3896285 -0.9201772 -0.4875633 -0.4303969 0.759632 -0.1937757 -0.3116453 -0.9302302 -0.6854711 -0.1175741 0.7185443 -0.2883865 -0.1665021 -0.9429265 0 0 -1 -0.7079538 0.2856615 0.6459093 -0.350975 -1.36916e-6 -0.9363849 0 0 -1 -0.5064725 0.6890802 0.5183185 0 0 -1 -0.3271468 0.1888795 -0.9259047 -0.07664608 0.9508008 0.3001721 0 0 -1 -0.2084267 0.3610033 -0.9089747 0.4552881 0.8899255 -0.02730131 1.85036e-6 0.473876 -0.8805915 0.7884874 0.47756 -0.3875877 0 0 -1 0.279315 0.4837817 -0.8294206 0 0 -1 0.9708833 -0.008533775 -0.239401 0 0 -1 0.2869124 0.2153607 0.933435 0.5621643 0.2121527 -0.7993513 0.4834446 -0.8752761 0.01314622 0.7585215 -0.6511256 -0.02609187 0.7712425 -0.6361608 -0.02200841 0.3936094 0.0307033 0.918765 0.6134142 -0.1204799 -0.7805175 0.01705116 -0.9991561 -0.03736466 -0.2249469 -0.974371 0 -0.2249469 -0.974371 0 0.1354607 -0.9907827 0 -0.603202 -0.7975885 0 0 0 -1 -0.996608 -0.0822944 0 -0.603202 -0.7975885 0 -0.9041545 0.2743734 0.3274506 -0.8968424 0.4423502 0 -0.996608 -0.0822944 0 -0.8407301 0.1769186 0.511735 -0.9634522 0.2678802 0 -0.9319653 0.3625475 0 -0.8842634 0.4669885 1.78014e-5 -0.9634636 0.2678391 1.62518e-5 -0.9563583 0.2921965 0 -0.8842415 0.4670297 0 -0.9563583 -0.2921965 -8.94642e-5 -0.9563248 0.2923063 -8.94687e-5 0 0 -1 -0.8842634 -0.4669885 0 0 0 -1 -0.9563248 -0.2923063 0 0 0 -1 -0.9634522 -0.2678802 1.62542e-5 0 0 -1 -0.8842415 -0.4670297 1.77989e-5 0 0 -1 -0.9319669 -0.3625436 0 0 0 -1 -0.9634636 -0.2678391 0 -0.7071013 -0.7071121 -6.64415e-5 -0.9319664 -0.3625445 3.63513e-6 -0.3625336 -0.9319707 4.25117e-5 -0.7071068 -0.7071068 -9.45097e-5 -0.2678802 -0.9634522 0 -0.3625445 -0.9319664 0 -0.4669885 -0.8842634 1.78014e-5 -0.2678391 -0.9634636 1.62518e-5 -0.2921965 -0.9563583 0 -0.4670297 -0.8842415 0 0.2921965 -0.9563583 -8.94642e-5 -0.2923063 -0.9563248 -8.94687e-5 0.4669885 -0.8842634 0 0.2923063 -0.9563248 0 0.2678802 -0.9634522 1.62542e-5 0.4670297 -0.8842415 1.77989e-5 0.3625202 -0.931976 0 0.2678391 -0.9634636 0 0.7070794 -0.7071342 -1.51297e-4 0.3625465 -0.9319657 1.02962e-4 0.9319623 -0.3625552 -4.43099e-5 0.7071087 -0.7071049 0 0.9634522 -0.2678802 0 0.9319667 -0.3625438 0 0.8842634 -0.4669885 1.78014e-5 0.9634636 -0.2678391 1.62518e-5 0.9563583 -0.2921965 0 0.8842415 -0.4670297 0 0.9563583 0.2921965 -8.94642e-5 0.9563248 -0.2923063 -8.94687e-5 0 0 -1 0.8842634 0.4669885 0 0 0 -1 0.9563248 0.2923063 0 0 0 -1 0.9634522 0.2678802 1.62542e-5 0 0 -1 0.8842415 0.4670297 1.77989e-5 0 0 -1 0.9319794 0.3625112 0 0 0 -1 0.9634636 0.2678391 0 0.7071014 0.7071123 -2.06059e-4 0.9319667 0.3625438 1.28213e-4 0.3625032 0.9319825 1.69661e-4 0.7071087 0.7071049 -2.43838e-4 0.2678802 0.9634522 0 0.3625465 0.9319657 0 0.4669885 0.8842634 1.78014e-5 0.2678391 0.9634636 1.62518e-5 0.2921965 0.9563583 0 0.4670297 0.8842415 0 0.2923242 0.9563192 -1.04125e-4 0 0 1 0.2585527 0.9659972 0 0 0 1 0.9659903 0.2585783 -2.0392e-4 0 0 1 0.9659248 0.2588229 0 0 0 1 -0.7070964 0.7071172 3.26153e-5 0.2587964 0.9659318 -2.03214e-4 0 0 1 -0.9659903 -0.2585783 -2.0392e-4 0 0 1 -0.7070938 0.7071198 2.96676e-5 0 0 1 -0.2585527 -0.9659972 0 0 0 1 0 0 1 -0.9659248 -0.2588229 0 0 0 1 0.7070964 -0.7071172 2.96556e-5 0 0 1 -0.2587951 -0.9659323 -2.02144e-4 0 0 1 0.7070964 -0.7071172 2.96677e-5 0 0 1 -0.9659972 0.2585527 0 0 0 1 -0.2585783 0.9659903 -2.0392e-4 0 0 1 -0.2588229 0.9659248 0 0 0 1 -0.7071172 -0.7070964 3.26153e-5 0 0 1 -0.9659318 0.2587964 -2.03214e-4 0 0 1 0.2585783 -0.9659903 -2.0392e-4 0 0 1 0 0 1 -0.7071198 -0.7070938 2.96676e-5 0 0 1 0.9659972 -0.2585527 0 0.2588229 -0.9659248 0 0 0 1 0.7071172 0.7070964 2.96556e-5 0.9659323 -0.2587951 -2.02144e-4 0 0 1 0.7071172 0.7070964 2.96677e-5 0 0 1 -0.2585527 -0.9659972 0 0 0 1 -0.9659903 -0.2585783 -2.0392e-4 0 0 1 -0.9659248 -0.2588229 0 0 0 1 0.7070964 -0.7071172 3.26153e-5 -0.2587964 -0.9659318 -2.03214e-4 0 0 1 0.9659903 0.2585783 -2.0392e-4 0 0 1 0.7070938 -0.7071198 2.96676e-5 0 0 1 0.2585527 0.9659972 0 0 0 1 0 0 1 0.9659248 0.2588229 0 0 0 1 -0.7070964 0.7071172 2.96556e-5 0 0 1 0.2587951 0.9659323 -2.02144e-4 0 0 1 -0.7070964 0.7071172 2.96677e-5 0 0 1 0.9659972 -0.2585527 0 0 0 1 0.2585783 -0.9659903 -2.0392e-4 0.2588229 -0.9659248 0 0 0 1 0.7071172 0.7070964 3.26153e-5 0 0 1 0.9659318 -0.2587964 -2.03214e-4 0 0 1 -0.2585783 0.9659903 -2.0392e-4 0 0 1 0 0 1 0.7071198 0.7070938 2.96676e-5 0 0 1 -0.9659972 0.2585527 0 -0.2588229 0.9659248 0 0 0 1 -0.7071172 -0.7070964 2.96556e-5 -0.9659323 0.2587951 -2.02144e-4 0 0 1 0 0 1 -0.7071172 -0.7070964 2.96677e-5 0 0 1 0.6832078 0.1899937 0.7050741 0 0 1 0.6661069 0.2591194 0.6993988 0 0 1 0.6660715 0.2591081 0.6994369 0 0 1 0.6271659 0.3311966 0.7049623 0.6833306 0.1899632 0.7049633 0 0 1 0.6911615 0.2112653 0.6911316 0.6270697 0.3311993 0.7050465 0.6911866 -0.211273 0.6911042 0.6911876 0.2112655 0.6911052 0.6270941 -0.3311586 0.7050439 0.6911647 -0.2112585 0.6911304 0.6833107 -0.1900224 0.7049667 0.627146 -0.3312396 0.7049598 0 0 1 0.666072 -0.2591058 0.6994372 0.6832212 -0.1899328 0.7050775 0 0 1 0.5053961 -0.5053961 0.6993923 0 0 1 0.6661059 -0.2591215 0.6993991 0 0 1 0.2591163 -0.6660907 0.6994155 0 0 1 0.5053756 -0.505373 0.6994239 0.1899937 -0.6832078 0.7050741 0.2591099 -0.6660708 0.6994367 0.3311966 -0.6271659 0.7049623 0.1899632 -0.6833306 0.7049633 0 0 1 0.2112653 -0.6911615 0.6911316 0.3311993 -0.6270697 0.7050465 0 0 1 -0.211273 -0.6911866 0.6911042 0 0 1 0.2112655 -0.6911876 0.6911052 0 0 1 -0.3311586 -0.6270941 0.7050439 -0.2112585 -0.6911647 0.6911304 0 0 1 -0.1900224 -0.6833107 0.7049667 -0.3312396 -0.627146 0.7049598 0 0 1 -0.2591063 -0.6660718 0.6994371 0 0 1 -0.1899328 -0.6832212 0.7050775 -0.5053954 -0.5053954 0.6993933 -0.2591217 -0.6661051 0.6993997 0 0 1 -0.6661062 -0.2591198 0.6993994 -0.5053954 -0.5053954 0.6993933 0 0 1 -0.6832078 -0.1899937 0.7050741 0 0 1 -0.6660713 -0.2591085 0.6994369 0 0 1 -0.6271659 -0.3311966 0.7049623 -0.6833306 -0.1899632 0.7049633 0 0 1 -0.6911615 -0.2112653 0.6911316 -0.6270697 -0.3311993 0.7050465 -0.6911866 0.211273 0.6911042 -0.6911876 -0.2112655 0.6911052 -0.6270941 0.3311586 0.7050439 -0.6911647 0.2112585 0.6911304 -0.6833107 0.1900224 0.7049667 -0.627146 0.3312396 0.7049598 0 0 1 -0.6642505 0.2656626 0.6987093 -0.6832212 0.1899328 0.7050775 0 0 1 -0.3686781 0.3902093 0.8436902 0 0 1 -0.5831567 0.5831568 0.5655586 -0.5682723 0.2210658 0.7925884 -0.1528532 0.4555194 0.8770051 0 0 1 -0.3343142 0.8593888 0.3868913 -0.3313755 0.5951036 0.732149 -0.1011909 0.6807775 0.725467 -0.08868998 0.6991965 0.7094071 0 0 1 0.1286699 0.5591765 0.8190028 -0.2495821 0.8166009 0.5204535 -0.2167412 0.1675535 0.9617427 -0.2616071 0.3930824 0.8815033 0 0 1 0.3311586 0.6270941 0.7050439 0 0 1 0.2112709 0.6911588 0.6911325 0 0 1 0.1900224 0.6833107 0.7049667 0.3312396 0.627146 0.7049598 0 0 1 0.2591087 0.6660712 0.6994369 0 0 1 0.1899328 0.6832212 0.7050775 0.5053741 0.5053741 0.6994241 0.2591175 0.6660902 0.6994155 0.5053973 0.5053946 0.6993926 0.3596072 0.6229035 0.6947475 0.6232701 0.3598189 0.6943089 0.6228883 0.3596271 0.6947507 2.47248e-6 0.7192208 0.6947817 0.359842 0.6232604 0.6943055 -0.3598163 0.6232712 0.6943093 2.50811e-6 0.7192213 0.694781 -0.6229052 0.359605 0.694747 -0.3596248 0.62289 0.6947503 -0.7192213 -2.47249e-6 0.694781 -0.6232616 0.3598394 0.6943059 -0.6232701 -0.3598189 0.6943089 -0.7192207 -2.5105e-6 0.6947817 -0.3596072 -0.6229035 0.6947475 -0.6228883 -0.3596271 0.6947507 -2.47248e-6 -0.7192208 0.6947817 -0.3598421 -0.6232607 0.6943052 0.3598163 -0.6232712 0.6943093 -2.50811e-6 -0.7192213 0.694781 0.6229052 -0.359605 0.694747 0.3596248 -0.62289 0.6947503 0.7192213 2.47249e-6 0.694781 0.6232616 -0.3598394 0.6943059 0.7192207 2.5105e-6 0.6947817 -0.3625224 0.9319006 0.01177465 -0.7063753 0.7063753 0.04547494 -0.6642516 0.7474485 -0.00951755 -0.8737173 0.4852077 -0.03451877 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.5000047 0.8660227 -2.59144e-4 0.4999738 0.8660405 0 0.7997639 0.6003147 0 3.90331e-6 1 0 0 1 2.83833e-5 -0.5000026 0.866024 0 -0.4999738 0.8660405 -2.41174e-4 -0.8660239 0.5000025 -2.41148e-4 -0.8660405 0.4999738 0 -1 -3.90331e-6 2.83811e-5 -1 0 0 -0.8660227 -0.5000047 0 -0.8660405 -0.4999738 -2.58871e-4 -0.4999738 -0.8660405 0 -0.5137014 -0.8261749 -0.2313998 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.7820784 0.4515017 -0.4295342 0 0 1 0 0 1 0.8751184 -0.4839088 0 0.8958928 -0.4442705 0 0.9723277 -0.202295 0.1168583 0.4450285 -0.09258919 -0.890717 0.8383045 -0.4839616 -0.2510511 0.8474153 -0.5284417 -0.05134689 0.9923514 0.07740789 -0.09615945 0.9118573 0 -0.4105074 0.9332184 0.3521832 0.07120668 0 0 1 0 0 1 0 0 1 0 0 1 0.4563089 -0.7904053 -0.4087071 0 0 1 0.6347658 -0.7727046 0 0.680312 -0.7323006 0.03018558 0 0 1 0 0 1 0 -0.9416307 -0.3366479 0 0 1 0.3381621 -0.8964784 0.2863093 0 0 1 -0.09618175 -0.9795936 0.1764808 0.1789461 -0.4743917 -0.8619344 0.7604059 -0.6494482 0 0.7603912 -0.6494654 -3.53745e-5 0.8660366 0.4999806 0 0.4999806 0.8660366 2.27207e-4 0.5000025 0.866024 0 1 2.46435e-5 1.90193e-4 0.866024 0.5000025 2.26877e-4 0.8660131 -0.5000213 -1.54413e-5 1 3.48931e-6 0 0.5000213 -0.8660131 2.15612e-4 0.8660259 -0.4999991 2.15664e-4 -2.46435e-5 -1 0 0.4999991 -0.8660259 -1.52445e-5 -0.4999806 -0.8660366 2.27207e-4 -3.48931e-6 -1 1.9019e-4 -0.8660366 -0.4999806 0 -0.5000025 -0.866024 0 -1 -2.46435e-5 1.90193e-4 -0.866024 -0.5000025 2.26877e-4 -0.8660131 0.5000213 -1.54413e-5 -1 -3.48931e-6 0 -0.5000213 0.8660131 2.15612e-4 -0.8660259 0.4999991 2.15664e-4 2.46435e-5 1 0 -0.4999991 0.8660259 -1.52445e-5 3.48931e-6 1 1.9019e-4 -0.4885163 0.5006437 0.7146382 -0.08858031 0.699787 0.7088383 1 0 0 0 -0.3829658 0.9237626 1 0 0 7.71542e-6 0.3829458 0.9237707 1 0 0 0 0.3829516 0.9237684 1 0 0 4.07215e-4 -0.9239792 0.3824425 1 0 0 -1.51343e-5 -0.3829544 0.9237673 1 0 0 -2.11691e-4 -0.9239779 -0.3824458 1 0 0 1 0 0 -2.11647e-4 -0.9237858 0.3829095 1 0 0 -1.51249e-5 -0.382923 -0.9237803 1 0 0 1 0 0 4.06996e-4 -0.9237844 -0.3829128 1 0 0 0 0.382903 -0.9237885 0 -0.3829115 -0.923785 1 0 0 4.6229e-4 0.9239804 -0.3824393 7.7065e-6 0.3829088 -0.9237861 1 0 0 -2.22018e-4 0.9239819 0.3824361 1 0 0 1 0 0 -2.21954e-4 0.9237667 -0.3829556 1 0 0 4.62008e-4 0.923768 0.3829524 1 0 0 0 -0.382923 0.9237803 1 0 0 7.68548e-6 0.382903 0.9237885 1 0 0 0 0.3829088 0.9237861 1 0 0 4.07213e-4 -0.9239779 0.3824458 -1.51345e-5 -0.3829115 0.923785 -2.11691e-4 -0.9239792 -0.3824426 -2.11647e-4 -0.9237844 0.3829128 -1.50975e-5 -0.3829658 -0.9237626 4.06998e-4 -0.9237858 -0.3829095 0 0.3829458 -0.9237707 0 -0.3829544 -0.9237673 4.62292e-4 0.9239819 -0.382436 7.75277e-6 0.3829516 -0.9237684 1 0 0 -2.22018e-4 0.9239805 0.3824393 1 0 0 -2.21952e-4 0.9237681 -0.3829524 4.62012e-4 0.9237666 0.3829556 1 0 0 0 -0.3829646 0.923763 1 0 0 6.28999e-6 0.3829475 0.9237701 1 0 0 0 0.3829523 0.9237681 1 0 0 4.03344e-4 -0.9239809 0.3824383 1 0 0 -1.67126e-5 -0.382952 0.9237682 1 0 0 -2.21157e-4 -0.9239796 -0.3824416 1 0 0 1 0 0 -2.21111e-4 -0.9237858 0.3829095 1 0 0 -1.67304e-5 -0.3829218 -0.9237808 4.03125e-4 -0.9237844 -0.3829128 1 0 0 0 0.3829047 -0.9237878 1 0 0 0 -0.3829092 -0.923786 1 0 0 4.58847e-4 0.9239795 -0.3824416 6.26734e-6 0.3829094 -0.9237859 1 0 0 -2.20835e-4 0.9239809 0.3824384 1 0 0 -2.20793e-4 0.9237672 -0.3829545 1 0 0 4.5862e-4 0.9237685 0.3829513 1 0 0 0 -0.3829218 0.9237808 1 0 0 6.2602e-6 0.3829047 0.9237878 0 0.3829094 0.9237859 1 0 0 4.03343e-4 -0.9239796 0.3824416 1 0 0 -1.67593e-5 -0.3829092 0.923786 -2.21158e-4 -0.923981 -0.3824384 -2.21111e-4 -0.9237844 0.3829128 -1.67032e-5 -0.3829646 -0.923763 4.03126e-4 -0.9237858 -0.3829095 0 0.3829475 -0.9237701 0 -0.382952 -0.9237682 4.58849e-4 0.9239809 -0.3824384 6.31364e-6 0.3829523 -0.9237681 1 0 0 -2.20835e-4 0.9239796 0.3824416 -2.20791e-4 0.9237685 -0.3829513 4.58624e-4 0.9237671 0.3829545 1 0 0 0 -0.3828892 0.9237942 1 0 0 0 0.382914 0.923784 0 0.382914 0.923784 1 0 0 0 -0.9237708 0.3829458 0 -0.3828892 0.9237942 1 0 0 0 -0.9237725 -0.3829417 1 0 0 1 0 0 1 0 0 0 -0.9237708 0.3829458 1 0 0 0 -0.3829424 -0.9237723 1 0 0 0 -0.9237725 -0.3829417 1 0 0 0 0.3829672 -0.9237619 1 0 0 0 -0.3829424 -0.9237723 1 0 0 0 0.9237725 -0.3829417 1 0 0 0 0.3829672 -0.9237619 1 0 0 0 0.9237708 0.3829458 1 0 0 1 0 0 0 0.9237725 -0.3829417 1 0 0 0 0.9237708 0.3829458 0 -0.3829424 0.9237723 0 0.3829672 0.9237619 0 0.3829672 0.9237619 0 -0.9237725 0.3829417 0 -0.3829424 0.9237723 1 0 0 0 -0.9237708 -0.3829458 1 0 0 1 0 0 0 -0.9237725 0.3829417 1 0 0 0 -0.3828892 -0.9237942 1 0 0 0 -0.9237708 -0.3829458 1 0 0 0 0.382914 -0.923784 0 -0.3828892 -0.9237942 1 0 0 0 0.9237708 -0.3829458 0 0.382914 -0.923784 0 0.9237725 0.3829417 0 0.9237708 -0.3829458 0 0.9237725 0.3829417 1 0 0 0 -0.3828878 0.9237949 1 0 0 0 0.3829112 0.9237851 0 0.3829112 0.9237851 1 0 0 0 -0.9237708 0.3829458 0 -0.3828878 0.9237949 1 0 0 0 -0.9237725 -0.3829417 1 0 0 1 0 0 0 -0.9237708 0.3829458 1 0 0 0 -0.382941 -0.9237728 1 0 0 0 -0.9237725 -0.3829417 1 0 0 0 0.3829644 -0.9237632 1 0 0 0 -0.382941 -0.9237728 1 0 0 0 0.9237725 -0.3829417 1 0 0 0 0.3829644 -0.9237632 1 0 0 0 0.9237708 0.3829458 1 0 0 1 0 0 1 0 0 0 0.9237725 -0.3829417 1 0 0 0 0.9237708 0.3829458 0 -0.382941 0.9237728 0 0.3829644 0.9237632 0 0.3829644 0.9237632 0 -0.9237725 0.3829417 0 -0.382941 0.9237728 1 0 0 0 -0.9237708 -0.3829458 1 0 0 0 -0.9237725 0.3829417 1 0 0 0 -0.3828878 -0.9237949 1 0 0 0 -0.9237708 -0.3829458 1 0 0 0 0.3829112 -0.9237851 0 -0.3828878 -0.9237949 1 0 0 0 0.9237708 -0.3829458 0 0.3829112 -0.9237851 0 0.9237725 0.3829417 1 0 0 0 0.9237708 -0.3829458 0 0.9237725 0.3829417 0.9190458 -0.3807234 0.1020014 0.9238646 -0.3827196 0 0.961152 -0.1951757 0.1951756 0.8779324 -0.3980941 0.2659994 0.9599648 -0.2747387 0.05464708 1 0 0 0.9542677 -0.07736343 0.2887697 1 0 0 0.8779318 -0.2659999 0.3980952 0.9238715 0 0.3827029 0.9212064 -0.0759024 0.3815989 0.9238715 0 0.3827029 1 0 0 0.9190534 0.1019949 0.3807071 0.9611524 0.1951733 0.1951754 0.9599651 0.05464696 0.2747374 0.8779389 0.2659932 0.3980842 0.9542648 0.2887791 0.07736587 0.8779243 0.3981083 0.2660053 0.9238712 0.3827034 0 0.9212059 0.3815993 0.07590574 0.9238712 0.3827034 0 0.9190533 0.3807076 -0.1019942 0.9611524 0.1951733 -0.1951753 0.9599614 0.2747495 -0.05465173 0.8779243 0.3981083 -0.2660053 0.9542684 0.07736343 -0.2887675 0.8779389 0.2659932 -0.3980842 0.9238715 0 -0.3827029 0.9212063 0.07590234 -0.3815988 0.9238715 0 -0.3827029 0.9190535 -0.1019941 -0.3807071 0.961152 -0.1951757 -0.1951756 0.9599646 -0.05464732 -0.2747393 0.8779318 -0.2659999 -0.3980952 0.9542672 -0.2887709 -0.07736599 0.8779324 -0.3980941 -0.2659994 0.9238646 -0.3827196 0 0.9211993 -0.3816155 -0.07590544 -1 0 0 0 0.499967 0.8660445 -1 0 0 -3.82074e-5 -0.4999682 0.8660438 -1 0 0 0 -0.4999988 0.8660262 -1 0 0 1.56461e-4 1 0 -1 0 0 -4.00641e-5 0.4999991 0.866026 -1 0 0 -2.28605e-5 0.4999808 -0.8660365 -1 0 0 1.56461e-4 1 0 -1 0 0 0 -0.499982 -0.8660358 -1 0 0 0 0.4999991 -0.866026 -1 0 0 1.60186e-4 -1 0 -2.09939e-5 -0.4999988 -0.8660262 -1 0 0 -1 0 0 1.60186e-4 -1 0 -1 0 0 0 0.4999808 0.8660365 -1 0 0 -2.09977e-5 -0.499982 0.8660358 -1 0 0 0 -0.4999988 0.8660262 -1 0 0 1.56461e-4 1 0 -2.28538e-5 0.4999991 0.866026 -4.00703e-5 0.499967 -0.8660445 1.56461e-4 1 0 0 -0.4999682 -0.8660438 0 0.4999991 -0.866026 -1 0 0 1.60186e-4 -1 0 -1 0 0 -3.82001e-5 -0.4999988 -0.8660262 -1 0 0 -1 0 0 1.60186e-4 -1 0 -1 0 0 0 0.499969 0.8660433 -1 0 0 -3.87508e-5 -0.4999678 0.8660441 -1 0 0 0 -0.4999987 0.8660261 1.53997e-4 1 0 -4.1277e-5 0.500002 0.8660244 -1 0 0 -2.40921e-5 0.4999827 -0.8660355 1.53997e-4 1 0 -1 0 0 0 -0.4999815 -0.8660361 0 0.500002 -0.8660244 -1 0 0 1.591e-4 -1 0 -1 0 0 -2.15371e-5 -0.4999987 -0.8660261 -1 0 0 -1 0 0 1.591e-4 -1 0 -1 0 0 0 0.4999827 0.8660355 -1 0 0 -2.1541e-5 -0.4999815 0.8660361 -1 0 0 0 -0.4999987 0.8660261 -1 0 0 1.53997e-4 1 0 -2.40666e-5 0.500002 0.8660244 -4.13018e-5 0.499969 -0.8660433 1.53997e-4 1 0 0 -0.4999678 -0.8660441 0 0.500002 -0.8660244 -1 0 0 1.591e-4 -1 0 -3.87434e-5 -0.4999987 -0.8660261 -1 0 0 -1 0 0 1.591e-4 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238873 0 -0.3826649 -1 0 0 -0.9542776 -0.0773552 -0.2887391 -0.9212225 -0.07589489 -0.3815612 -0.9238873 0 -0.3826649 -0.9190701 0.1019841 -0.3806697 -0.9611601 0.1951555 -0.1951555 -0.9599733 0.05464142 -0.2747097 -0.877955 0.2659767 -0.3980595 -0.9542747 0.2887485 -0.0773577 -0.8779476 0.3980726 -0.2659814 -0.923887 0.3826654 0 -0.923887 0.3826654 0 -0.9212221 0.3815616 -0.07589828 -0.9190698 0.3806701 0.1019842 -0.9611601 0.1951555 0.1951555 -0.9599702 0.2747201 0.05464589 -0.8779477 0.3980726 0.2659814 -0.9542778 0.0773552 0.288739 -0.877955 0.2659767 0.3980594 -0.9238873 0 0.3826649 -0.9238873 0 0.3826649 -0.9212226 0.07589489 0.3815612 -1 0 0 -0.9190701 -0.1019841 0.3806697 -0.9611604 -0.1951547 0.1951546 -0.9599733 -0.05464148 0.2747098 -0.8779553 -0.2659761 0.3980594 -0.9542772 -0.2887403 0.07735776 -0.8779558 -0.3980584 0.2659755 -0.9238803 -0.3826816 0 -0.9238803 -0.3826816 0 -0.9212155 -0.3815779 0.07589793 -0.9190624 -0.3806861 -0.1019914 -0.9611604 -0.1951547 -0.1951546 -0.9599735 -0.2747093 -0.05464118 -0.8779558 -0.3980584 -0.2659755 -0.8779552 -0.265976 -0.3980594 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -0.3827039 0 -0.923871 0 0 -1 0 0.258823 -0.9659248 -0.04352039 0.2585778 -0.9650096 -0.3827039 0 -0.923871 -0.3764013 0.1807373 -0.9086562 0 -0.2588227 -0.9659248 0 -0.2588227 -0.9659248 -0.3714901 -0.2403006 -0.8968003 0.3827196 0 -0.9238646 0.04352438 -0.2585775 -0.9650095 0.3827196 0 -0.9238646 0.3764168 -0.1807361 -0.9086499 0 0.258823 -0.9659248 0.3715055 0.2402993 -0.8967943 0 0 1 -0.3827039 0 0.923871 0 0 1 0 -0.2588227 0.9659248 -0.04352229 -0.2585775 0.9650096 -0.3764013 -0.1807373 0.9086562 -0.3827039 0 0.923871 0 0.258823 0.9659248 0 0.258823 0.9659248 -0.3714901 0.2403008 0.8968002 0.3827196 0 0.9238646 0.04352247 0.2585778 0.9650095 0.3827196 0 0.9238646 0.3764169 0.1807361 0.9086501 0 -0.2588227 0.9659248 0.3715055 -0.240299 0.8967943 0 1 0 -0.3826659 0.9238868 0 0 1 0 0 0.9659265 0.2588168 -0.04355442 0.9650098 0.2585712 -0.3763632 0.9086698 0.1807479 -0.3826659 0.9238868 0 0 0.9659265 -0.2588168 0 0.9659265 -0.2588168 -0.3714534 0.896816 -0.2402989 0.3826816 0.9238803 0 0.04355651 0.9650098 -0.2585712 0.3826816 0.9238803 0 0.3763788 0.9086638 -0.1807467 0 0.9659265 0.2588168 0.3714688 0.8968101 0.2402973 0 -1 0 -0.3827039 -0.923871 0 0 -1 0 0 -0.9659249 -0.2588226 -0.04351943 -0.9650098 -0.2585775 -0.3764013 -0.9086562 -0.1807368 -0.3827039 -0.923871 0 0 -0.9659249 0.2588226 0 -0.9659249 0.2588226 -0.3714901 -0.8968003 0.2403005 0.3827196 -0.9238646 0 0.04352152 -0.9650096 0.2585774 0.3764168 -0.9086501 0.1807356 0.3827196 -0.9238646 0 0 -0.9659249 -0.2588226 0.3715055 -0.8967943 -0.2402989 0 0.7071068 -0.7071067 0.0757364 0.7050759 -0.7050758 0 0.7071068 -0.7071067 0.08045643 0.9776052 -0.1944602 -0.5460693 0.6965571 -0.4654209 -0.5460532 0.4654315 -0.6965625 -0.07574003 0.7050758 -0.7050756 -0.08052259 0.194451 -0.9776016 0.5460718 0.4654248 -0.6965525 0.5460876 0.6965472 -0.4654142 0 -0.7071073 -0.7071062 0.07573926 -0.7050763 -0.7050752 0 -0.7071073 -0.7071062 -0.5460553 -0.46543 -0.6965619 0.08051699 -0.1944511 -0.977602 -0.5460522 -0.6965636 -0.4654313 -0.07574278 -0.705076 -0.705075 -0.08052402 -0.9776016 -0.1944504 0.5460707 -0.6965535 -0.4654247 0.5460737 -0.4654233 -0.6965519 0 -0.7071073 0.7071062 0.07573914 -0.7050763 0.7050752 0 -0.7071073 0.7071062 0.08052015 -0.9776019 0.1944505 -0.5460522 -0.6965636 0.4654313 -0.5460553 -0.46543 0.6965619 -0.0757429 -0.705076 0.705075 -0.0805208 -0.194451 0.9776017 0.5460737 -0.4654233 0.6965519 0.5460707 -0.6965535 0.4654247 0 0.7071068 0.7071067 0.0757364 0.7050759 0.7050758 0 0.7071068 0.7071067 0.08051878 0.194451 0.9776019 -0.5460532 0.4654315 0.6965625 -0.5460693 0.6965571 0.4654209 -0.07574003 0.7050758 0.7050756 -0.0804603 0.9776049 0.1944602 0.5460877 0.6965471 0.4654141 0.5460717 0.4654248 0.6965525 1 0 0 0 0.7070997 0.7071139 1 0 0 0 0.7071011 -0.7071125 1 0 0 0 0.7071011 -0.7071125 1 0 0 0 -0.7070925 0.707121 1 0 0 1 0 0 0 0.7070997 0.7071139 1 0 0 0 -0.7070939 -0.7071198 1 0 0 0 -0.7070925 0.707121 1 0 0 1 0 0 0 -0.7070939 -0.7071198 0.9020033 0.3738798 -0.2158791 0.654942 0.6544197 0.3778701 0.8941051 0.3706062 0.2514499 0.6545587 0 -0.7560112 0.6549313 0.6544466 -0.3778421 0.3319927 0.8009477 -0.4982606 0.6549401 -0.6544244 -0.3778652 0.6545587 0 -0.7560113 0.9020082 -0.3738699 0.2158765 0.8941115 -0.3705968 -0.2514409 0.6545587 0 0.7560112 0.6549324 -0.6544433 0.3778458 0.3319767 -0.8009484 0.4982701 0.6545587 0 0.7560113 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071065 0.7071071 0 0.7071084 -0.7071052 0 0.7071084 -0.7071052 0 -0.7070971 0.7071166 0 0.7071065 0.7071071 0 -0.7070989 -0.7071147 0 -0.7070971 0.7071166 0 -0.7070989 -0.7071147 1 0 0 1 0 0 -1 0 0 -0.6546534 0.6546534 0.3779653 -1 0 0 -0.6546649 0.6546453 -0.3779595 -1 0 0 -0.6546544 0.6546544 -0.3779621 -1 0 0 -0.6545962 0 0.7559788 -1 0 0 -0.6546443 0.6546593 0.377971 -1 0 0 -0.6546436 -0.654661 0.3779691 -1 0 0 -0.6545962 0 0.7559788 -1 0 0 -0.6546539 -0.6546539 -0.3779638 -1 0 0 -0.654653 -0.654653 0.3779668 -1 0 0 -0.6546391 0 -0.7559416 -1 0 0 -0.6546641 -0.6546473 -0.3779574 -1 0 0 -0.6546391 0 -0.7559416 0 -1 0 0 -0.5000051 -0.8660224 0 -1 0 0 -0.5000051 0.8660224 0 -0.5000051 0.8660224 0 0.4999951 0.8660282 0 0.4999951 0.8660282 0 1 0 0 1 0 0 0.4999951 -0.8660282 0 0.4999951 -0.8660282 0 -0.5000051 -0.8660224 0 0.866027 -0.4999971 0 0.866027 -0.4999971 0 0.8660235 0.5000033 0 0 -1 0 0 -1 0 -0.8660273 -0.4999966 0 -0.8660273 -0.4999966 0 -0.8660238 0.5000028 0 -0.8660238 0.5000028 0.3378455 -0.8151063 -0.4705976 0 0.8660235 0.5000033 0.337858 0.8150988 0.4706017 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7070939 0.7071198 1 0 0 0 0.7070925 -0.707121 1 0 0 0 0.7070925 -0.707121 1 0 0 0 -0.7071011 0.7071125 1 0 0 1 0 0 0 0.7070939 0.7071198 1 0 0 0 -0.7070997 -0.7071139 1 0 0 0 -0.7071011 0.7071125 1 0 0 1 0 0 0 -0.7070997 -0.7071139 0.9020082 0.3738699 -0.2158765 0.6549401 0.6544244 0.3778652 0.8941115 0.3705968 0.2514409 0.6545587 0 -0.7560112 0.6549326 0.6544431 -0.3778457 0.3319767 0.8009484 -0.4982701 0.654942 -0.6544197 -0.3778701 0.6545587 0 -0.7560113 0.9020033 -0.3738798 0.2158791 0.8941051 -0.3706062 -0.2514499 0.6545587 0 0.7560112 0.6549313 -0.6544466 0.3778421 0.3319927 -0.8009477 0.4982606 0.6545587 0 0.7560113 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7070989 0.7071147 0 0.7070971 -0.7071166 0 0.7070971 -0.7071166 0 -0.7071084 0.7071052 0 0.7070989 0.7071147 0 -0.7071065 -0.7071071 0 -0.7071084 0.7071052 0 -0.7071065 -0.7071071 1 0 0 1 0 0 -1 0 0 -0.6546539 0.6546539 0.3779638 -1 0 0 -0.6546436 0.654661 -0.3779691 -1 0 0 -0.654653 0.654653 -0.3779668 -1 0 0 -0.6546391 0 0.7559416 -1 0 0 -0.6546641 0.6546474 0.3779575 -1 0 0 -0.6546649 -0.6546453 0.3779595 -1 0 0 -0.6546391 0 0.7559416 -1 0 0 -0.6546534 -0.6546534 -0.3779653 -1 0 0 -0.6546544 -0.6546544 0.3779621 -1 0 0 -0.6545962 0 -0.7559788 -1 0 0 -0.6546443 -0.6546592 -0.377971 -1 0 0 -0.6545962 0 -0.7559788 0 -1 0 0 -0.4999951 -0.8660282 0 -1 0 0 -0.4999951 0.8660282 0 -0.4999951 0.8660282 0 0.5000051 0.8660224 0 0.5000051 0.8660224 0 1 0 0 1 0 0 0.5000051 -0.8660224 0 0.5000051 -0.8660224 0 -0.4999951 -0.8660282 0 0.8660238 -0.5000028 0 0.8660238 -0.5000028 0 0.8660273 0.4999966 0 0 -1 0 0 -1 0 -0.8660235 -0.5000033 0 -0.8660235 -0.5000033 0 -0.866027 0.4999971 0 -0.866027 0.4999971 0.337858 -0.8150988 -0.4706017 0 0.8660273 0.4999966 0.3378455 0.8151063 0.4705976 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7070925 0.707121 1 0 0 0 0.7070939 -0.7071198 1 0 0 0 0.7070939 -0.7071198 1 0 0 0 -0.7070997 0.7071139 1 0 0 1 0 0 0 0.7070925 0.707121 1 0 0 0 -0.7071011 -0.7071125 1 0 0 0 -0.7070997 0.7071139 1 0 0 1 0 0 0 -0.7071011 -0.7071125 0.9020088 0.3738702 -0.215873 0.6549417 0.6544203 0.3778694 0.8941106 0.3705964 0.2514448 0.6545587 0 -0.7560112 0.6549311 0.6544469 -0.3778417 0.3319788 0.8009517 -0.4982634 0.6549404 -0.6544237 -0.3778659 0.6545587 0 -0.7560113 0.9020026 -0.3738795 0.2158827 0.8941062 -0.3706063 -0.2514459 0.6545587 0 0.7560112 0.6549328 -0.6544428 0.3778461 0.3319906 -0.8009444 0.4982672 0.6545587 0 0.7560113 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7070971 0.7071166 0 0.7070989 -0.7071147 0 0.7070989 -0.7071147 0 -0.7071065 0.7071071 0 0.7070971 0.7071166 0 -0.7071084 -0.7071052 0 -0.7071065 0.7071071 0 -0.7071084 -0.7071052 1 0 0 1 0 0 -1 0 0 -0.6546536 0.6546536 0.3779648 -1 0 0 -0.6546648 0.6546457 -0.3779591 -1 0 0 -0.6546546 0.6546546 -0.3779616 -1 0 0 -0.6545962 0 0.7559788 -1 0 0 -0.6546442 0.6546596 0.3779707 -1 0 0 -0.6546437 -0.6546607 0.3779695 -1 0 0 -0.6545962 0 0.7559788 -1 0 0 -0.6546537 -0.6546537 -0.3779644 -1 0 0 -0.6546528 -0.6546528 0.3779673 -1 0 0 -0.6546391 0 -0.7559416 -1 0 0 -0.6546643 -0.6546469 -0.3779578 -1 0 0 -0.6546391 0 -0.7559416 0 -1 0 0 -0.4999951 -0.8660282 0 -1 0 0 -0.4999951 0.8660282 0 -0.4999951 0.8660282 0 0.5000051 0.8660224 0 0.5000051 0.8660224 0 1 0 0 1 0 0 0.5000051 -0.8660224 0 0.5000051 -0.8660224 0 -0.4999951 -0.8660282 0 0.8660273 -0.4999966 0 0.8660273 -0.4999966 0 0.8660238 0.5000028 0 0 -1 0 0 -1 0 -0.866027 -0.4999971 0 -0.866027 -0.4999971 0 -0.8660235 0.5000033 0 -0.8660235 0.5000033 0.3378592 -0.8151018 -0.4705957 0 0.8660238 0.5000028 0.3378443 0.8151034 0.4706036 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7071011 0.7071125 1 0 0 0 0.7070997 -0.7071139 1 0 0 0 0.7070997 -0.7071139 1 0 0 0 -0.7070939 0.7071198 1 0 0 1 0 0 0 0.7071011 0.7071125 1 0 0 0 -0.7070925 -0.707121 1 0 0 0 -0.7070939 0.7071198 1 0 0 1 0 0 0 -0.7070925 -0.707121 0.9020026 0.3738795 -0.2158827 0.6549404 0.6544237 0.3778659 0.8941062 0.3706063 0.2514459 0.6545587 0 -0.7560112 0.6549328 0.6544428 -0.3778461 0.3319906 0.8009444 -0.4982672 0.6549417 -0.6544203 -0.3778694 0.6545587 0 -0.7560113 0.9020088 -0.3738702 0.215873 0.8941106 -0.3705964 -0.2514448 0.6545587 0 0.7560112 0.6549311 -0.6544469 0.3778417 0.3319788 -0.8009517 0.4982634 0.6545587 0 0.7560113 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071084 0.7071052 0 0.7071065 -0.7071071 0 0.7071065 -0.7071071 0 -0.7070989 0.7071147 0 0.7071084 0.7071052 0 -0.7070971 -0.7071166 0 -0.7070989 0.7071147 0 -0.7070971 -0.7071166 1 0 0 1 0 0 -1 0 0 -0.6546537 0.6546537 0.3779644 -1 0 0 -0.6546437 0.6546607 -0.3779695 -1 0 0 -0.6546528 0.6546528 -0.3779673 -1 0 0 -0.6546391 0 0.7559416 -1 0 0 -0.6546643 0.6546469 0.3779577 -1 0 0 -0.6546648 -0.6546457 0.3779591 -1 0 0 -0.6546391 0 0.7559416 -1 0 0 -0.6546536 -0.6546536 -0.3779648 -1 0 0 -0.6546546 -0.6546546 0.3779616 -1 0 0 -0.6545962 0 -0.7559788 -1 0 0 -0.6546442 -0.6546596 -0.3779707 -1 0 0 -0.6545962 0 -0.7559788 0 -1 0 0 -0.5000051 -0.8660224 0 -1 0 0 -0.5000051 0.8660224 0 -0.5000051 0.8660224 0 0.4999951 0.8660282 0 0.4999951 0.8660282 0 1 0 0 1 0 0 0.4999951 -0.8660282 0 0.4999951 -0.8660282 0 -0.5000051 -0.8660224 0 0.8660235 -0.5000033 0 0.8660235 -0.5000033 0 0.866027 0.4999971 0 0 -1 0 0 -1 0 -0.8660238 -0.5000028 0 -0.8660238 -0.5000028 0 -0.8660273 0.4999966 0 -0.8660273 0.4999966 0.3378443 -0.8151034 -0.4706036 0 0.866027 0.4999971 0.3378592 0.8151018 0.4705957 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7071011 -0.7071125 -1 0 0 0 0.7070997 0.7071139 -1 0 0 0 0.7070997 0.7071139 -1 0 0 0 -0.7070939 -0.7071198 -1 0 0 -1 0 0 0 0.7071011 -0.7071125 -1 0 0 0 -0.7070925 0.707121 -1 0 0 0 -0.7070939 -0.7071198 -1 0 0 -1 0 0 0 -0.7070925 0.707121 -0.9020026 0.3738795 0.2158827 -0.6549404 0.6544237 -0.3778659 -0.8941062 0.3706063 -0.2514459 -0.6545587 0 0.7560112 -0.6549328 0.6544428 0.3778461 -0.3319906 0.8009444 0.4982672 -0.6549417 -0.6544203 0.3778694 -0.6545587 0 0.7560113 -0.9020088 -0.3738702 -0.215873 -0.8941106 -0.3705964 0.2514448 -0.6545587 0 -0.7560112 -0.6549311 -0.6544469 -0.3778417 -0.3319788 -0.8009517 -0.4982634 -0.6545587 0 -0.7560113 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7071084 -0.7071052 0 0.7071065 0.7071071 0 0.7071065 0.7071071 0 -0.7070989 -0.7071147 0 0.7071084 -0.7071052 0 -0.7070971 0.7071166 0 -0.7070989 -0.7071147 0 -0.7070971 0.7071166 -1 0 0 -1 0 0 1 0 0 0.6546537 0.6546537 -0.3779644 1 0 0 0.6546437 0.6546607 0.3779695 1 0 0 0.6546528 0.6546528 0.3779673 1 0 0 0.6546391 0 -0.7559416 1 0 0 0.6546643 0.6546469 -0.3779577 1 0 0 0.6546648 -0.6546457 -0.3779591 1 0 0 0.6546391 0 -0.7559416 1 0 0 0.6546536 -0.6546536 0.3779648 1 0 0 0.6546546 -0.6546546 -0.3779616 1 0 0 0.6545962 0 0.7559788 1 0 0 0.6546442 -0.6546596 0.3779707 1 0 0 0.6545962 0 0.7559788 0 -1 0 0 -0.5000051 0.8660224 0 -1 0 0 -0.5000051 -0.8660224 0 -0.5000051 -0.8660224 0 0.4999951 -0.8660282 0 0.4999951 -0.8660282 0 1 0 0 1 0 0 0.4999951 0.8660282 0 0.4999951 0.8660282 0 -0.5000051 0.8660224 0 0.8660235 0.5000033 0 0.8660235 0.5000033 0 0.866027 -0.4999971 0 0 1 0 0 1 0 -0.8660238 0.5000028 0 -0.8660238 0.5000028 0 -0.8660273 -0.4999966 0 -0.8660273 -0.4999966 -0.3378443 -0.8151034 0.4706036 0 0.866027 -0.4999971 -0.3378592 0.8151018 -0.4705957 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.7070997 -0.7071139 -1 0 0 0 0.7071011 0.7071125 -1 0 0 0 0.7071011 0.7071125 -1 0 0 0 -0.7070925 -0.707121 -1 0 0 -1 0 0 0 0.7070997 -0.7071139 -1 0 0 0 -0.7070939 0.7071198 -1 0 0 0 -0.7070925 -0.707121 -1 0 0 -1 0 0 0 -0.7070939 0.7071198 -0.9020033 0.3738798 0.2158791 -0.654942 0.6544197 -0.3778701 -0.8941051 0.3706062 -0.2514499 -0.6545587 0 0.7560112 -0.6549313 0.6544466 0.3778421 -0.3319927 0.8009477 0.4982606 -0.6549401 -0.6544244 0.3778652 -0.6545587 0 0.7560113 -0.9020082 -0.3738699 -0.2158765 -0.8941115 -0.3705968 0.2514409 -0.6545587 0 -0.7560112 -0.6549324 -0.6544433 -0.3778458 -0.3319767 -0.8009484 -0.4982701 -0.6545587 0 -0.7560113 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7071065 -0.7071071 0 0.7071084 0.7071052 0 0.7071084 0.7071052 0 -0.7070971 -0.7071166 0 0.7071065 -0.7071071 0 -0.7070989 0.7071147 0 -0.7070971 -0.7071166 0 -0.7070989 0.7071147 -1 0 0 -1 0 0 1 0 0 0.6546534 0.6546534 -0.3779653 1 0 0 0.6546649 0.6546453 0.3779595 1 0 0 0.6546544 0.6546544 0.3779621 1 0 0 0.6545962 0 -0.7559788 1 0 0 0.6546443 0.6546593 -0.377971 1 0 0 0.6546436 -0.654661 -0.3779691 1 0 0 0.6545962 0 -0.7559788 1 0 0 0.6546539 -0.6546539 0.3779638 1 0 0 0.654653 -0.654653 -0.3779668 1 0 0 0.6546391 0 0.7559416 1 0 0 0.6546641 -0.6546473 0.3779574 1 0 0 0.6546391 0 0.7559416 0 -1 0 0 -0.5000051 0.8660224 0 -1 0 0 -0.5000051 -0.8660224 0 -0.5000051 -0.8660224 0 0.4999951 -0.8660282 0 0.4999951 -0.8660282 0 1 0 0 1 0 0 0.4999951 0.8660282 0 0.4999951 0.8660282 0 -0.5000051 0.8660224 0 0.866027 0.4999971 0 0.866027 0.4999971 0 0.8660235 -0.5000033 0 0 1 0 0 1 0 -0.8660273 0.4999966 0 -0.8660273 0.4999966 0 -0.8660238 -0.5000028 0 -0.8660238 -0.5000028 -0.3378455 -0.8151063 0.4705976 0 0.8660235 -0.5000033 -0.337858 0.8150988 -0.4706017 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.7070939 -0.7071198 -1 0 0 0 0.7070925 0.707121 -1 0 0 0 0.7070925 0.707121 -1 0 0 0 -0.7071011 -0.7071125 -1 0 0 -1 0 0 0 0.7070939 -0.7071198 -1 0 0 0 -0.7070997 0.7071139 -1 0 0 0 -0.7071011 -0.7071125 -1 0 0 -1 0 0 0 -0.7070997 0.7071139 -0.9020082 0.3738699 0.2158765 -0.6549401 0.6544244 -0.3778652 -0.8941115 0.3705968 -0.2514409 -0.6545587 0 0.7560112 -0.6549326 0.6544431 0.3778457 -0.3319767 0.8009484 0.4982701 -0.654942 -0.6544197 0.3778701 -0.6545587 0 0.7560113 -0.9020033 -0.3738798 -0.2158791 -0.8941051 -0.3706062 0.2514499 -0.6545587 0 -0.7560112 -0.6549313 -0.6544466 -0.3778421 -0.3319927 -0.8009477 -0.4982606 -0.6545587 0 -0.7560113 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7070989 -0.7071147 0 0.7070971 0.7071166 0 0.7070971 0.7071166 0 -0.7071084 -0.7071052 0 0.7070989 -0.7071147 0 -0.7071065 0.7071071 0 -0.7071084 -0.7071052 0 -0.7071065 0.7071071 -1 0 0 -1 0 0 1 0 0 0.6546539 0.6546539 -0.3779638 1 0 0 0.6546436 0.654661 0.3779691 1 0 0 0.654653 0.654653 0.3779668 1 0 0 0.6546391 0 -0.7559416 1 0 0 0.6546641 0.6546474 -0.3779575 1 0 0 0.6546649 -0.6546453 -0.3779595 1 0 0 0.6546391 0 -0.7559416 1 0 0 0.6546534 -0.6546534 0.3779653 1 0 0 0.6546544 -0.6546544 -0.3779621 1 0 0 0.6545962 0 0.7559788 1 0 0 0.6546443 -0.6546592 0.377971 1 0 0 0.6545962 0 0.7559788 0 -1 0 0 -0.4999951 0.8660282 0 -1 0 0 -0.4999951 -0.8660282 0 -0.4999951 -0.8660282 0 0.5000051 -0.8660224 0 0.5000051 -0.8660224 0 1 0 0 1 0 0 0.5000051 0.8660224 0 0.5000051 0.8660224 0 -0.4999951 0.8660282 0 0.8660238 0.5000028 0 0.8660238 0.5000028 0 0.8660273 -0.4999966 0 0 1 0 0 1 0 -0.8660235 0.5000033 0 -0.8660235 0.5000033 0 -0.866027 -0.4999971 0 -0.866027 -0.4999971 -0.337858 -0.8150988 0.4706017 0 0.8660273 -0.4999966 -0.3378455 0.8151063 -0.4705976 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.7070925 -0.707121 -1 0 0 0 0.7070939 0.7071198 -1 0 0 0 0.7070939 0.7071198 -1 0 0 0 -0.7070997 -0.7071139 -1 0 0 -1 0 0 0 0.7070925 -0.707121 -1 0 0 0 -0.7071011 0.7071125 -1 0 0 0 -0.7070997 -0.7071139 -1 0 0 -1 0 0 0 -0.7071011 0.7071125 -0.9020088 0.3738702 0.215873 -0.6549417 0.6544203 -0.3778694 -0.8941106 0.3705964 -0.2514448 -0.6545587 0 0.7560112 -0.6549311 0.6544469 0.3778417 -0.3319788 0.8009517 0.4982634 -0.6549404 -0.6544237 0.3778659 -0.6545587 0 0.7560113 -0.9020026 -0.3738795 -0.2158827 -0.8941062 -0.3706063 0.2514459 -0.6545587 0 -0.7560112 -0.6549328 -0.6544428 -0.3778461 -0.3319906 -0.8009444 -0.4982672 -0.6545587 0 -0.7560113 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.7070971 -0.7071166 0 0.7070989 0.7071147 0 0.7070989 0.7071147 0 -0.7071065 -0.7071071 0 0.7070971 -0.7071166 0 -0.7071084 0.7071052 0 -0.7071065 -0.7071071 0 -0.7071084 0.7071052 -1 0 0 -1 0 0 1 0 0 0.6546536 0.6546536 -0.3779648 1 0 0 0.6546648 0.6546457 0.3779591 1 0 0 0.6546546 0.6546546 0.3779616 1 0 0 0.6545962 0 -0.7559788 1 0 0 0.6546442 0.6546596 -0.3779707 1 0 0 0.6546437 -0.6546607 -0.3779695 1 0 0 0.6545962 0 -0.7559788 1 0 0 0.6546537 -0.6546537 0.3779644 1 0 0 0.6546528 -0.6546528 -0.3779673 1 0 0 0.6546391 0 0.7559416 1 0 0 0.6546643 -0.6546469 0.3779578 1 0 0 0.6546391 0 0.7559416 0 -1 0 0 -0.4999951 0.8660282 0 -1 0 0 -0.4999951 -0.8660282 0 -0.4999951 -0.8660282 0 0.5000051 -0.8660224 0 0.5000051 -0.8660224 0 1 0 0 1 0 0 0.5000051 0.8660224 0 0.5000051 0.8660224 0 -0.4999951 0.8660282 0 0.8660273 0.4999966 0 0.8660273 0.4999966 0 0.8660238 -0.5000028 0 0 1 0 0 1 0 -0.866027 0.4999971 0 -0.866027 0.4999971 0 -0.8660235 -0.5000033 0 -0.8660235 -0.5000033 -0.3378592 -0.8151018 0.4705957 0 0.8660238 -0.5000028 -0.3378443 0.8151034 -0.4706036 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 0 1 0 -1 0 1 0 0 0 -1 0 1 0 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 -1 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 0 -1 0.4165515 -0.9022361 0.1116014 0.1955555 -0.6549347 0.7299442 0.08709192 -0.8951864 0.4370996 0.5345568 -0.6545974 -0.5345571 0.7299491 -0.6549181 0.1955932 0.9177995 -0.3322446 0.2173877 -0.1955738 -0.6549018 -0.7299689 0.5345567 -0.6545976 -0.5345571 -0.4166536 -0.9021863 -0.1116231 -0.08705836 -0.8952438 -0.436989 -0.5346106 -0.6545096 0.5346108 -0.7299338 -0.654939 -0.1955803 -0.9177094 -0.3325052 -0.2173698 -0.534607 -0.6545162 0.5346063 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 1 0 0 1 0 0 -1 0 0 0 0 1 0 0 -1 -1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0.2810636 0.6786041 0.6786012 0.9084014 -0.1823298 0.376248 0.7301906 0.6546294 0.1956579 0 1 0 -0.2124366 0.8317499 0.5128965 0 1 0 0 1 0 0 1 0 0.2570616 0.1161243 0.9593927 0 1 0 -0.5128965 0.83175 0.2124361 0 1 0 -0.7003894 -0.1375162 0.7003884 0 1 0 -0.908412 -0.182282 -0.3762456 0 1 0 -0.281077 0.6785814 -0.6786185 -0.7301608 0.6546676 -0.1956411 0 1 0 0.2124297 0.8317549 -0.5128912 0 1 0 0 1 0 -0.2570725 0.1160734 -0.959396 0 1 0 0.5128882 0.8317575 -0.2124266 0 1 0 0.7003887 -0.1375158 -0.7003892 -0.7071043 0 -0.7071092 0.2588175 0 -0.9659262 -0.7071043 0 -0.7071092 -0.9659266 0 0.2588162 -0.9659266 0 0.2588162 -0.2588161 0 0.9659267 -0.2588161 0 0.9659267 0.7071062 0 0.7071075 0.7071062 0 0.7071075 0.9659261 0 -0.2588181 0.9659261 0 -0.2588181 0.2588175 0 -0.9659262 0.9659245 0 0.258824 0.9659245 0 0.258824 0.2588126 0 0.9659276 0.7071066 0 -0.707107 0.7071066 0 -0.707107 -0.258822 0 -0.965925 -0.258822 0 -0.965925 -0.9659275 0 -0.2588131 -0.9659275 0 -0.2588131 -0.2436372 -0.3374842 -0.9092554 0.2588126 0 0.9659276 0.2436097 -0.3376843 0.9091885 -0.7071073 0 0.7071063 -0.7071073 0 0.7071063 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 1 0 -1 0 1 0 0 0 -1 0 1 0 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 -1 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 0 -1 0.4166855 -0.9021697 0.1116381 0.1955569 -0.654922 0.7299553 0.08710026 -0.8951723 0.4371271 0.5345528 -0.6546041 -0.5345528 0.7299625 -0.6549023 0.1955957 0.9176842 -0.332567 0.2173821 -0.1955735 -0.6549027 -0.7299681 0.5345576 -0.6545953 -0.5345589 -0.4166499 -0.9021872 -0.1116291 -0.08705848 -0.8952436 -0.4369894 -0.5346009 -0.6545165 0.5346121 -0.7299442 -0.6549236 -0.195593 -0.9177003 -0.3325218 -0.217383 -0.5345506 -0.6546092 0.5345488 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 1 0 0 1 0 0 -1 0 0 0 0 1 0 0 -1 -1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0.281062 0.6786177 0.6785884 0.9084153 -0.1822458 0.3762553 0.7301478 0.654681 0.1956453 0 1 0 -0.2124298 0.8317601 0.5128829 0 1 0 0 1 0 0 1 0 0.25706 0.1161162 0.9593942 0 1 0 -0.5128707 0.8317685 0.2124261 0 1 0 -0.7003987 -0.1374281 0.7003963 0 1 0 -0.9084293 -0.1821813 -0.3762527 0 1 0 -0.2810657 0.6785728 -0.6786316 -0.7301542 0.6546725 -0.1956493 0 1 0 0.2124136 0.83177 -0.5128734 0 1 0 0 1 0 -0.2570691 0.1161842 -0.9593836 0 1 0 0.512863 0.8317758 -0.2124164 0 1 0 0.7003956 -0.1374396 -0.7003973 -0.7071073 0 -0.7071062 0.2588219 0 -0.9659252 -0.7071073 0 -0.7071062 -0.9659258 0 0.2588193 -0.9659258 0 0.2588193 -0.2588216 0 0.9659252 -0.2588216 0 0.9659252 0.7071068 0 0.7071068 0.7071068 0 0.7071068 0.9659252 0 -0.2588213 0.9659252 0 -0.2588213 0.2588219 0 -0.9659252 0.9659248 0 0.2588225 0.9659248 0 0.2588225 0.2588106 0 0.965928 0.7071059 0 -0.7071077 0.7071059 0 -0.7071077 -0.2588219 0 -0.9659251 -0.2588219 0 -0.9659251 -0.9659242 0 -0.2588254 -0.9659242 0 -0.2588254 -0.2436368 -0.3374878 -0.9092543 0.2588106 0 0.965928 0.2436041 -0.3377259 0.9091745 -0.707108 0 0.7071055 -0.707108 0 0.7071055 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 -1.68589e-5 0 1 0 -1 0 1 0 -3.37183e-5 0 -1 0 1 0 -3.37183e-5 0 -1 0 -1 0 1.68591e-5 0 -1 0 0 -1 0 -1.68589e-5 0 1 0 -1 0 1.68592e-5 0 -1 0 -1 0 -1 0 1.68591e-5 0 -1 0 0 -1 0 1.68592e-5 0 -1 0.416539 -0.90224 0.1116161 0.1956479 -0.6546465 0.730178 0.08709192 -0.8951864 0.4370996 0.5345055 -0.6546905 -0.5344943 0.7302031 -0.6546145 0.1956613 0.9177925 -0.3322407 0.2174235 -0.1956635 -0.6546219 -0.7301959 0.5345564 -0.6545966 -0.5345584 -0.4166409 -0.9021902 -0.1116381 -0.08705836 -0.8952438 -0.436989 -0.5345551 -0.6546005 0.5345551 -0.7301878 -0.6546354 -0.1956484 -0.9176984 -0.3325124 -0.2174053 -0.5345522 -0.6546058 0.5345514 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 1 0 0 1 0 0 -1 0 0 0 0 1 0 0 -1 -1 0 0 0 0 -1 0 -1 0 0 -1 0 0 1 0 0.281078 0.6785943 0.678605 0 1 0 0.9083685 -0.1824806 0.3762548 0 1 0 0.730197 0.6546217 0.1956596 0 1 0 -0.2124534 0.831735 0.5129136 0 1 0 0 1 0 0.2570667 0.1160227 0.9594037 -0.5129157 0.8317332 0.2124555 -0.7003896 -0.1375142 0.7003886 0 1 0 -0.9083814 -0.1824222 -0.3762518 0 1 0 0 1 0 -0.2810915 0.6785716 -0.6786223 0 1 0 -0.7301672 0.6546599 -0.1956428 0 1 0 0.2124481 0.8317371 -0.5129124 0 1 0 0 1 0 -0.257076 0.1159589 -0.9594089 0.5129066 0.8317415 -0.2124451 0.7003872 -0.1375203 -0.7003899 0 1 0 -0.7071068 0 -0.7071068 0.258822 0 -0.965925 -0.7071068 0 -0.7071068 -0.9659263 0 0.2588172 -0.9659263 0 0.2588172 -0.2588207 0 0.9659254 -0.2588207 0 0.9659254 0.7071086 0 0.707105 0.7071086 0 0.707105 0.9659258 0 -0.2588191 0.9659258 0 -0.2588191 0.258822 0 -0.965925 0.9659245 0 0.258824 0.9659245 0 0.258824 0.2588146 0 0.9659271 0.7071055 0 -0.7071081 0.7071055 0 -0.7071081 -0.258822 0 -0.965925 -0.258822 0 -0.965925 -0.9659275 0 -0.2588131 -0.9659275 0 -0.2588131 -0.2436372 -0.3374842 -0.9092554 0.2588146 0 0.9659271 0.2436158 -0.3376395 0.9092035 -0.7071073 0 0.7071063 -0.7071073 0 0.7071063 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 1.42249e-5 0 -1 0 -1 0 -1 0 1.68592e-5 0 -1 0 -1 0 1.68592e-5 0 -1 0 1 0 -1.69909e-5 0 -1 0 0 -1 0 1.42249e-5 0 -1 0 -1 0 -1.68591e-5 0 1 0 -1 0 1 0 -1.69909e-5 0 -1 0 0 -1 0 -1.68591e-5 0 1 -0.4166421 -0.9021897 -0.1116383 -0.1956722 -0.6545945 -0.7302181 -0.08705848 -0.8952436 -0.4369894 -0.5345177 -0.6546617 0.5345175 -0.7301002 -0.6547371 -0.1956349 -0.9176937 -0.332526 -0.2174045 0.1956614 -0.6545958 0.7302198 -0.5345113 -0.6546733 0.5345095 0.4166776 -0.9021721 0.1116475 0.08710026 -0.8951723 0.4371271 0.5344694 -0.6547499 -0.5344576 0.7301178 -0.6547168 0.1956373 0.9176736 -0.3325823 0.2174032 0.5345134 -0.6546689 -0.534513 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 -1 0 0 -1 0 0 1 0 0 0 0 -1 0 0 1 1 0 0 0 0 1 0 -1 0 0 -1 0 0 1 0 -0.2810914 0.6785807 -0.6786133 0 1 0 -0.9083637 -0.1824771 -0.376268 0 1 0 -0.7301571 0.6546691 -0.1956501 0 1 0 0.212452 0.8317405 -0.5129053 0 1 0 0 1 0 -0.257076 0.1159533 -0.9594096 0.5128971 0.831745 -0.2124542 0.7003974 -0.1374312 -0.700397 0 1 0 0.9083524 -0.1825287 0.37627 0 1 0 0 1 0 0.2810753 0.6786224 0.6785781 0 1 0 0.7301506 0.6546775 0.1956461 0 1 0 -0.212452 0.8317411 0.5129044 0 1 0 0 1 0 0.2570618 0.1159889 0.959409 -0.5129042 0.8317383 0.2124632 -0.700399 -0.1374261 0.7003965 0 1 0 0.7071043 0 0.7071092 -0.258817 0 0.9659264 0.7071043 0 0.7071092 0.9659255 0 -0.2588204 0.9659255 0 -0.2588204 0.2588173 0 -0.9659263 0.2588173 0 -0.9659263 -0.7071049 0 -0.7071087 -0.7071049 0 -0.7071087 -0.965926 0 0.2588183 -0.965926 0 0.2588183 -0.258817 0 0.9659264 -0.9659242 0 -0.2588254 -0.9659242 0 -0.2588254 -0.2588219 0 -0.9659251 -0.707108 0 0.7071055 -0.707108 0 0.7071055 0.2588087 0 0.9659287 0.2588087 0 0.9659287 0.9659248 0 0.2588225 0.9659248 0 0.2588225 0.243598 -0.3377707 0.9091595 -0.2588219 0 -0.9659251 -0.2436368 -0.3374878 -0.9092543 0.707107 0 -0.7071066 0.707107 0 -0.7071066 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 -0.09802275 0.9951841 0 0 0 -1 0.02905952 0.2950294 0.9550463 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3826844 0.9238791 0 0 0 -1 -0.2538761 0.8368245 0.4850482 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2451561 0.4586436 0.8541337 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.1880675 0.2291598 0.9550478 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.773009 0.6343952 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3826844 0.9238791 0 0 0 -1 -0.7712789 0.4122673 0.4849377 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4977138 0.1509966 0.8540967 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2950294 0.02905952 0.9550463 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9951841 -0.09802275 0 0 0 -1 0 0 -1 -0.9238791 0.3826844 0 0 0 -1 -0.8368245 -0.2538761 0.4850482 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4586436 -0.2451561 0.8541337 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2291598 -0.1880675 0.9550478 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6343952 -0.773009 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238791 -0.3826844 0 0 0 -1 -0.4122673 -0.7712789 0.4849377 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.1509966 -0.4977138 0.8540967 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.02905952 -0.2950294 0.9550463 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.09802275 -0.9951841 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3826844 -0.9238791 0 0 0 -1 0.2538761 -0.8368245 0.4850482 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2451561 -0.4586436 0.8541337 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1880675 -0.2291598 0.9550478 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.773009 -0.6343952 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3826844 -0.9238791 0 0 0 -1 0.7712789 -0.4122673 0.4849377 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4977138 -0.1509966 0.8540967 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2950294 -0.02905952 0.9550463 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9951841 0.09802275 0 0 0 -1 0 0 -1 0 0 -1 0.9238791 -0.3826844 0 0 0 -1 0.8368245 0.2538761 0.4850482 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4586436 0.2451561 0.8541337 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2291598 0.1880675 0.9550478 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6343952 0.773009 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9238791 0.3826844 0 0 0 -1 0.4122673 0.7712789 0.4849377 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1509966 0.4977138 0.8540967 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4999942 0.8660287 0 0 0 -1 -0.4999942 0.8660287 -2.18252e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.5000069 0.8660215 0 0 0 -1 1 0 5.94883e-5 0 0 -1 0.5000069 0.8660215 -2.1828e-5 0 0 -1 0.4999942 -0.8660287 -2.18252e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 5.94883e-5 0 0 -1 -0.4999942 -0.8660287 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.5000069 -0.8660215 0 0 0 -1 -1 0 5.94883e-5 0 0 -1 -0.5000069 -0.8660215 -2.1828e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 5.94883e-5 -0.9997485 -0.02243047 0 0 0 -1 0 -1 0 0 -1 0 -0.9997485 0.02243047 0 -0.9997485 -0.02243047 0 0 0 -1 0 1 0 -0.9997485 0.02243047 0 0 0 -1 0.9996306 -0.02717727 0 0 0 -1 0 0 -1 0 1 0 0.9996306 0.02717727 0 0.9996306 -0.02717727 0 0 0 -1 0 0 -1 0.9996306 0.02717727 0 -0.9868962 -0.1613561 0 0 0 -1 0.1391641 -0.9902694 0 0.1391641 -0.9902694 0 -0.993138 -0.1169484 0 -0.9868962 -0.1613561 0 -0.1391637 0.9902694 0 -0.993138 -0.1169484 0 0 0 -1 0.9936753 0.112291 0 0 0 -1 -0.1391637 0.9902694 0 0 0 -1 0.9861297 0.1659768 0 0 0 -1 0.9936753 0.112291 0 0 0 -1 0 0 -1 0 0 -1 0.9861297 0.1659768 0 -0.9548413 -0.2971162 0 0 0 -1 0.27563 -0.9612638 0 0.27563 -0.9612638 0 -0.9672054 -0.2539957 0 -0.9548413 -0.2971162 0 -0.2756364 0.9612619 0 -0.9672054 -0.2539957 0 0 0 -1 0.9683761 0.2494949 0 0 0 -1 0 0 -1 -0.2756364 0.9612619 0 0 0 -1 0.9534217 0.3016406 0 0 0 -1 0.9683761 0.2494949 0 0 0 -1 0 0 -1 0.9534217 0.3016406 0 -0.9042078 -0.4270929 0 0 0 -1 0.4067218 -0.9135521 0 0.4067218 -0.9135521 0 -0.9224396 -0.3861415 0 -0.9042078 -0.4270929 0 -0.4067293 0.9135488 0 -0.9224396 -0.3861415 0 0 0 -1 0.9242373 0.3818187 0 -0.4067293 0.9135488 0 0 0 -1 0.9021689 0.4313831 0 0.9242373 0.3818187 0 0 0 -1 0 0 -1 0.9021689 0.4313831 0 -0.8359549 -0.5487982 0 0 0 -1 0.5299125 -0.8480523 0 0.5299125 -0.8480523 0 -0.8597198 -0.510766 0 -0.8359549 -0.5487982 0 -0.5299113 0.848053 0 -0.8597198 -0.510766 0 0 0 -1 0.8621045 0.5067307 0 -0.5299113 0.848053 0 0 0 -1 0.8333801 0.5527003 0 0.8621045 0.5067307 0 0 0 -1 0 0 -1 0.8333801 0.5527003 0 -0.7514321 -0.6598104 0 0.6427761 -0.7660541 0 0.6427761 -0.7660541 0 -0.7802354 -0.625486 0 -0.7514321 -0.6598104 0 -0.6427909 0.7660416 0 -0.7802354 -0.625486 0 0 0 -1 0.7832428 0.6217159 0 -0.6427909 0.7660416 0 0 0 -1 0.7482808 0.6633822 0 0.7832428 0.6217159 0 0 0 -1 0 0 -1 0.7482808 0.6633822 0 -0.6523389 -0.7579274 0 0 0 -1 0.7431427 -0.669133 0 0.7431427 -0.669133 0 -0.6856137 -0.7279654 0 -0.6523389 -0.7579274 0 -0.7431324 0.6691445 0 -0.6856137 -0.7279654 0 0 0 -1 0.6890536 0.7247105 0 -0.7431324 0.6691445 0 0 0 -1 0.6486871 0.7610553 0 0 0 -1 0.6890536 0.7247105 0 0 0 -1 0 0 -1 0.6486871 0.7610553 0 -0.5405092 -0.841338 0 0 0 -1 0.8290307 -0.559203 0 0.8290307 -0.559203 0 -0.5775781 -0.8163354 0 -0.5405092 -0.841338 0 -0.8290375 0.559193 0 -0.5775781 -0.8163354 0 0 0 -1 0.5815203 0.8135319 0 -0.8290375 0.559193 0 0 0 -1 0.536493 0.8439049 0 0.5815203 0.8135319 0 0 0 -1 0 0 -1 0.536493 0.8439049 0 -0.4181618 -0.9083726 0 0.898794 -0.4383713 0 0.898794 -0.4383713 0 -0.4583466 -0.8887736 0 -0.4181618 -0.9083726 0 -0.898794 0.4383713 0 -0.4583466 -0.8887736 0 0 0 -1 0.4626067 0.8865636 0 -0.898794 0.4383713 0 0 0 -1 0.4137994 0.9103682 0 0.4626067 0.8865636 0 0 0 -1 0 0 -1 0.4137994 0.9103682 0 -0.2876236 -0.9577436 0 0 0 -1 0.9510563 -0.3090175 0 0.9510563 -0.3090175 0 -0.3302456 -0.943895 0 -0.2876236 -0.9577436 0 -0.9510563 0.3090175 0 -0.3302456 -0.943895 0 0 0 -1 0.3347699 0.9422999 0 -0.9510563 0.3090175 0 0 0 -1 0.2830258 0.9591123 0 0.3347699 0.9422999 0 0 0 -1 0 0 -1 0.2830258 0.9591123 0 -0.1514949 -0.988458 0 0 0 -1 0.9848084 -0.1736444 0 0.9848084 -0.1736444 0 -0.195707 -0.9806624 0 -0.1514949 -0.988458 0 -0.9848045 0.1736668 0 -0.195707 -0.9806624 0 0 0 -1 0.2003589 0.9797225 0 -0.9848045 0.1736668 0 0 0 -1 0.1468207 0.9891632 0 0.2003589 0.9797225 0 0 0 -1 0 0 -1 0.1468207 0.9891632 0 -0.01246494 -0.9999223 0 0 0 -1 0.9993907 -0.0349 0 0 0 -1 0.9993907 -0.0349 0 -0.05726909 -0.9983588 0 -0.01246494 -0.9999223 0 -0.9993904 0.03490942 0 -0.05726909 -0.9983588 0 0 0 -1 0.06201308 0.9980753 0 -0.9993904 0.03490942 0 0 0 -1 0.00782603 0.9999694 0 0.06201308 0.9980753 0 0 0 -1 0 0 -1 0.00782603 0.9999694 0 0.1268162 -0.9919263 0 0 0 -1 0.9945234 0.104515 0 0.9945234 0.104515 0 0.08221626 -0.9966145 0 0.1268162 -0.9919263 0 -0.9945219 -0.1045288 0 0.08221626 -0.9966145 0 0 0 -1 -0.07755076 0.9969884 0 -0.9945219 -0.1045288 0 0 0 -1 -0.1314535 0.9913223 0 -0.07755076 0.9969884 0 0 0 -1 -0.1314535 0.9913223 0 0.2635728 -0.9646395 0 0 0 -1 0.970291 0.2419407 0 0 0 -1 0.970291 0.2419407 0 0.2202054 -0.9754534 0 0.2635728 -0.9646395 0 -0.9702923 -0.241936 0 0.2202054 -0.9754534 0 0 0 -1 -0.2155138 0.9765009 0 -0.9702923 -0.241936 0 0 0 -1 -0.268136 0.963381 0 -0.2155138 0.9765009 0 0 0 -1 -0.268136 0.963381 0 0.3953112 -0.9185472 0 0 0 -1 0.9271771 0.3746231 0 0 0 -1 0.9271771 0.3746231 0 0.3537159 -0.9353529 0 0.3953112 -0.9185472 0 -0.9271855 -0.3746024 0 0.3537159 -0.9353529 0 0 0 -1 -0.3492879 0.9370154 0 -0.9271855 -0.3746024 0 0 0 -1 -0.3996852 0.9166525 0 -0.3492879 0.9370154 0 0 0 -1 -0.3996852 0.9166525 0 0.5193 -0.854592 0 0 0 -1 0.8660252 0.5000004 0 0 0 -1 0.8660252 0.5000004 0 0.4804562 -0.8770188 0 0.5193 -0.854592 0 -0.8660259 -0.4999991 0 0.4804562 -0.8770188 0 0 0 -1 -0.4763225 0.8792707 0 -0.8660259 -0.4999991 0 0 0 -1 -0.5233073 0.8521441 0 -0.4763225 0.8792707 0 0 0 -1 -0.5233073 0.8521441 0 0.6331501 -0.7740291 0 0 0 -1 0.7880129 0.6156587 0 0 0 -1 0.7880129 0.6156587 0 0.5978766 -0.8015882 0 0.6331501 -0.7740291 0 -0.7880052 -0.6156686 0 0.5978766 -0.8015882 0 0 0 -1 -0.594084 0.804403 0 -0.7880052 -0.6156686 0 0 0 -1 -0.6368452 0.7709917 0 -0.594084 0.804403 0 0 0 -1 -0.6368452 0.7709917 0 0.7347106 -0.6783807 0 0 0 -1 0.6946412 0.7193563 0 0 0 -1 0.6946412 0.7193563 0 0.7036044 -0.7105919 0 0.7347106 -0.6783807 0 -0.6946499 -0.7193479 0 0.7036044 -0.7105919 0 0 0 -1 -0.7002772 0.7138709 0 -0.6946499 -0.7193479 0 0 0 -1 -0.7379196 0.6748888 0 0 0 -1 -0.7002772 0.7138709 0 0 0 -1 -0.7379196 0.6748888 0 0.8220053 -0.5694798 0 0 0 -1 0.587794 0.8090106 0 0 0 -1 0.587794 0.8090106 0 0.7956312 -0.6057813 0 0.8220053 -0.5694798 0 -0.5877782 -0.8090222 0 0.7956312 -0.6057813 0 0 0 -1 -0.7927942 0.6094894 0 -0.5877782 -0.8090222 0 0 0 -1 -0.8246872 0.565589 0 -0.7927942 0.6094894 0 0 0 -1 -0.8246872 0.565589 0 0.8932329 -0.4495943 0 0 0 -1 0.4694671 0.8829499 0 0 0 -1 0.4694671 0.8829499 0 0.8722043 -0.4891419 0 0.8932329 -0.4495943 0 -0.4694667 -0.8829501 0 0.8722043 -0.4891419 0 0 0 -1 -0.8698332 0.4933459 0 -0.4694667 -0.8829501 0 0 0 -1 -0.8953928 0.445277 0 -0.8698332 0.4933459 0 0 0 -1 -0.8953928 0.445277 0 0.9471395 -0.3208222 0 0 0 -1 0.3420004 0.9396998 0 0 0 -1 0.3420004 0.9396998 0 0.9317711 -0.3630463 0 0.9471395 -0.3208222 0 -0.3420202 -0.9396926 0 0.9317711 -0.3630463 0 0 0 -1 -0.9300408 0.3674563 0 -0.3420202 -0.9396926 0 0 0 -1 -0.9486351 0.3163725 0 -0.9300408 0.3674563 0 0 0 -1 -0.9486351 0.3163725 0 0.982562 -0.1859354 0 0 0 -1 0.2079122 0.9781476 0 0 0 -1 0.2079122 0.9781476 0 0.9732377 -0.2298007 0 0.982562 -0.1859354 0 -0.2079122 -0.9781476 0 0.9732377 -0.2298007 0 0 0 -1 -0.9721578 0.2343275 0 0 0 -1 0 0 -1 -0.2079122 -0.9781476 0 0 0 -1 -0.983417 0.1813591 0 0 0 -1 -0.9721578 0.2343275 0 0 0 -1 0 0 -1 -0.983417 0.1813591 0 0.9988763 -0.04739534 0 0 0 -1 0.06975626 0.997564 0 0.06975626 0.997564 0 0.9957507 -0.09208905 0 0.9988763 -0.04739534 0 -0.0697714 -0.9975631 0 0.9957507 -0.09208905 0 0 0 -1 -0.9953007 0.09683215 0 0 0 -1 -0.0697714 -0.9975631 0 0 0 -1 -0.9990905 0.04264026 0 0 0 -1 -0.9953007 0.09683215 0 0 0 -1 -0.9990905 0.04264026 0 0.9957507 0.09208905 0 0 0 -1 -0.0697714 0.9975631 0 -0.0697714 0.9975631 0 0.9988763 0.04739534 0 0.9957507 0.09208905 0 0.06975626 -0.997564 0 0.9988763 0.04739534 0 -0.9990905 -0.04264026 0 0.06975626 -0.997564 0 -0.9953007 -0.09683215 0 -0.9990905 -0.04264026 0 0 0 -1 -0.9953007 -0.09683215 0 0.9732377 0.2298007 0 0 0 -1 -0.2079122 0.9781476 0 -0.2079122 0.9781476 0 0.982562 0.1859354 0 0.9732377 0.2298007 0 0.2079122 -0.9781476 0 0.982562 0.1859354 0 -0.983417 -0.1813591 0 0.2079122 -0.9781476 0 -0.9721578 -0.2343275 0 -0.983417 -0.1813591 0 0 0 -1 0 0 -1 -0.9721578 -0.2343275 0 0.9317711 0.3630463 0 0 0 -1 -0.3420202 0.9396926 0 -0.3420202 0.9396926 0 0.9471395 0.3208222 0 0.9317711 0.3630463 0 0.3420004 -0.9396998 0 0.9471395 0.3208222 0 0 0 -1 -0.9486351 -0.3163725 0 0 0 -1 0.3420004 -0.9396998 0 0 0 -1 -0.9300408 -0.3674563 0 -0.9486351 -0.3163725 0 0 0 -1 0 0 -1 -0.9300408 -0.3674563 0 0.8722043 0.4891419 0 0 0 -1 -0.4694667 0.8829501 0 -0.4694667 0.8829501 0 0.8932329 0.4495943 0 0.8722043 0.4891419 0 0.4694671 -0.8829499 0 0.8932329 0.4495943 0 0 0 -1 -0.8953928 -0.445277 0 0.4694671 -0.8829499 0 0 0 -1 -0.8698332 -0.4933459 0 -0.8953928 -0.445277 0 0 0 -1 0 0 -1 -0.8698332 -0.4933459 0 0.7956312 0.6057813 0 0 0 -1 -0.5877782 0.8090222 0 -0.5877782 0.8090222 0 0.8220053 0.5694798 0 0.7956312 0.6057813 0 0.587794 -0.8090106 0 0.8220053 0.5694798 0 0 0 -1 -0.8246872 -0.565589 0 0.587794 -0.8090106 0 0 0 -1 -0.7927942 -0.6094894 0 -0.8246872 -0.565589 0 0 0 -1 0 0 -1 -0.7927942 -0.6094894 0 0.7036044 0.7105919 0 0 0 -1 -0.6946499 0.7193479 0 -0.6946499 0.7193479 0 0.7347106 0.6783807 0 0.7036044 0.7105919 0 0.6946412 -0.7193563 0 0.7347106 0.6783807 0 0 0 -1 -0.7379196 -0.6748888 0 0.6946412 -0.7193563 0 0 0 -1 -0.7002772 -0.7138709 0 -0.7379196 -0.6748888 0 0 0 -1 0 0 -1 0 0 -1 -0.7002772 -0.7138709 0 0.5978766 0.8015882 0 -0.7880052 0.6156686 0 -0.7880052 0.6156686 0 0.6331501 0.7740291 0 0.5978766 0.8015882 0 0.7880129 -0.6156587 0 0.6331501 0.7740291 0 0 0 -1 -0.6368452 -0.7709917 0 0.7880129 -0.6156587 0 0 0 -1 -0.594084 -0.804403 0 -0.6368452 -0.7709917 0 0 0 -1 0 0 -1 -0.594084 -0.804403 0 0.4804562 0.8770188 0 0 0 -1 -0.8660259 0.4999991 0 -0.8660259 0.4999991 0 0.5193 0.854592 0 0.4804562 0.8770188 0 0.8660252 -0.5000004 0 0.5193 0.854592 0 0 0 -1 -0.5233073 -0.8521441 0 0.8660252 -0.5000004 0 0 0 -1 -0.4763225 -0.8792707 0 -0.5233073 -0.8521441 0 0 0 -1 0 0 -1 -0.4763225 -0.8792707 0 0.3537159 0.9353529 0 0 0 -1 -0.9271855 0.3746024 0 -0.9271855 0.3746024 0 0.3953112 0.9185472 0 0.3537159 0.9353529 0 0.9271771 -0.3746231 0 0.3953112 0.9185472 0 0 0 -1 -0.3996852 -0.9166525 0 0.9271771 -0.3746231 0 0 0 -1 -0.3492879 -0.9370154 0 -0.3996852 -0.9166525 0 0 0 -1 0 0 -1 -0.3492879 -0.9370154 0 0.2202054 0.9754534 0 -0.9702923 0.241936 0 -0.9702923 0.241936 0 0.2635728 0.9646395 0 0.2202054 0.9754534 0 0.970291 -0.2419407 0 0.2635728 0.9646395 0 0 0 -1 -0.268136 -0.963381 0 0.970291 -0.2419407 0 0 0 -1 -0.2155138 -0.9765009 0 -0.268136 -0.963381 0 0 0 -1 0 0 -1 -0.2155138 -0.9765009 0 0.08221626 0.9966145 0 0 0 -1 -0.9945219 0.1045288 0 0 0 -1 -0.9945219 0.1045288 0 0.1268162 0.9919263 0 0.08221626 0.9966145 0 0.9945234 -0.104515 0 0.1268162 0.9919263 0 0 0 -1 -0.1314535 -0.9913223 0 0.9945234 -0.104515 0 0 0 -1 -0.07755076 -0.9969884 0 -0.1314535 -0.9913223 0 0 0 -1 -0.07755076 -0.9969884 0 -0.05726909 0.9983588 0 0 0 -1 -0.9993904 -0.03490942 0 0 0 -1 -0.9993904 -0.03490942 0 -0.01246494 0.9999223 0 -0.05726909 0.9983588 0 0.9993907 0.0349 0 -0.01246494 0.9999223 0 0 0 -1 0.00782603 -0.9999694 0 0.9993907 0.0349 0 0 0 -1 0.06201308 -0.9980753 0 0 0 -1 0.00782603 -0.9999694 0 0 0 -1 0.06201308 -0.9980753 0 -0.195707 0.9806624 0 0 0 -1 -0.9848045 -0.1736668 0 0 0 -1 -0.9848045 -0.1736668 0 -0.1514949 0.988458 0 -0.195707 0.9806624 0 0.9848084 0.1736444 0 -0.1514949 0.988458 0 0 0 -1 0.1468207 -0.9891632 0 0.9848084 0.1736444 0 0 0 -1 0.2003589 -0.9797225 0 0.1468207 -0.9891632 0 0 0 -1 0.2003589 -0.9797225 0 -0.3302456 0.943895 0 0 0 -1 -0.9510563 -0.3090175 0 0 0 -1 -0.9510563 -0.3090175 0 -0.2876236 0.9577436 0 -0.3302456 0.943895 0 0.9510563 0.3090175 0 -0.2876236 0.9577436 0 0 0 -1 0.2830258 -0.9591123 0 0.9510563 0.3090175 0 0 0 -1 0.3347699 -0.9422999 0 0.2830258 -0.9591123 0 0 0 -1 0.3347699 -0.9422999 0 -0.4583466 0.8887736 0 0 0 -1 -0.898794 -0.4383713 0 0 0 -1 -0.898794 -0.4383713 0 -0.4181618 0.9083726 0 -0.4583466 0.8887736 0 0.898794 0.4383713 0 -0.4181618 0.9083726 0 0 0 -1 0.4137994 -0.9103682 0 0.898794 0.4383713 0 0 0 -1 0.4626067 -0.8865636 0 0.4137994 -0.9103682 0 0 0 -1 0.4626067 -0.8865636 0 -0.5775781 0.8163354 0 0 0 -1 -0.8290375 -0.559193 0 0 0 -1 -0.8290375 -0.559193 0 -0.5405092 0.841338 0 -0.5775781 0.8163354 0 0.8290307 0.559203 0 -0.5405092 0.841338 0 0 0 -1 0.536493 -0.8439049 0 0.8290307 0.559203 0 0 0 -1 0.5815203 -0.8135319 0 0.536493 -0.8439049 0 0 0 -1 0.5815203 -0.8135319 0 -0.6856137 0.7279654 0 0 0 -1 -0.7431324 -0.6691445 0 0 0 -1 -0.7431324 -0.6691445 0 -0.6523389 0.7579274 0 -0.6856137 0.7279654 0 0.7431427 0.669133 0 -0.6523389 0.7579274 0 0 0 -1 0.6486871 -0.7610553 0 0.7431427 0.669133 0 0 0 -1 0.6890536 -0.7247105 0 0.6486871 -0.7610553 0 0 0 -1 0 0 -1 0.6890536 -0.7247105 0 -0.7802354 0.625486 0 0 0 -1 -0.6427909 -0.7660416 0 0 0 -1 -0.6427909 -0.7660416 0 -0.7514321 0.6598104 0 -0.7802354 0.625486 0 0.6427761 0.7660541 0 -0.7514321 0.6598104 0 0 0 -1 0.7482808 -0.6633822 0 0.6427761 0.7660541 0 0 0 -1 0.7832428 -0.6217159 0 0.7482808 -0.6633822 0 0 0 -1 0.7832428 -0.6217159 0 -0.8597198 0.510766 0 0 0 -1 -0.5299113 -0.848053 0 0 0 -1 -0.5299113 -0.848053 0 -0.8359549 0.5487982 0 -0.8597198 0.510766 0 0.5299125 0.8480523 0 -0.8359549 0.5487982 0 0 0 -1 0.8333801 -0.5527003 0 0.5299125 0.8480523 0 0 0 -1 0.8621045 -0.5067307 0 0.8333801 -0.5527003 0 0 0 -1 0.8621045 -0.5067307 0 -0.9224396 0.3861415 0 0 0 -1 -0.4067293 -0.9135488 0 0 0 -1 -0.4067293 -0.9135488 0 -0.9042078 0.4270929 0 -0.9224396 0.3861415 0 0.4067218 0.9135521 0 -0.9042078 0.4270929 0 0 0 -1 0.9021689 -0.4313831 0 0.4067218 0.9135521 0 0 0 -1 0.9242373 -0.3818187 0 0.9021689 -0.4313831 0 0 0 -1 0.9242373 -0.3818187 0 -0.9672054 0.2539957 0 0 0 -1 -0.2756364 -0.9612619 0 0 0 -1 -0.2756364 -0.9612619 0 -0.9548413 0.2971162 0 -0.9672054 0.2539957 0 0.27563 0.9612638 0 -0.9548413 0.2971162 0 0 0 -1 0.9534217 -0.3016406 0 0.27563 0.9612638 0 0.9683761 -0.2494949 0 0.9534217 -0.3016406 0 0.9683761 -0.2494949 0 -0.993138 0.1169484 0 -0.1391637 -0.9902694 0 -0.1391637 -0.9902694 0 -0.9868962 0.1613561 0 -0.993138 0.1169484 0 0.1391641 0.9902694 0 -0.9868962 0.1613561 0 0.9861297 -0.1659768 0 0.1391641 0.9902694 0 0.9936753 -0.112291 0 0.9861297 -0.1659768 0 0.9936753 -0.112291 0 0 0 -1 0.9997161 0.02382731 0 0 0 -1 0 1 0 0 0 -1 0 1 0 0 0 -1 0.9997161 -0.02382731 0 0.9997161 0.02382731 0 0 0 -1 0 -1 0 0 0 -1 0.9997161 -0.02382731 0 0 0 -1 -0.9996271 0.02730858 0 0 0 -1 0 0 -1 0 -1 0 -0.9996271 -0.02730858 0 -0.9996271 0.02730858 0 0 0 -1 0 0 -1 -0.9996271 -0.02730858 0 0 0 -1 0.9866676 0.1627479 0 0 0 -1 -0.1391939 0.9902652 0 0 0 -1 -0.1391939 0.9902652 0 0 0 -1 0.9933133 0.1154504 0 0.9866676 0.1627479 0 0.1391764 -0.9902676 0 0.9933133 0.1154504 0 0 0 -1 -0.9936832 -0.1122215 0 0 0 -1 0.1391764 -0.9902676 0 0 0 -1 -0.9861108 -0.1660894 0 0 0 -1 -0.9936832 -0.1122215 0 0 0 -1 0 0 -1 0 0 -1 -0.9861108 -0.1660894 0 0 0 -1 0.9544032 0.2985206 0 0 0 -1 -0.2756829 0.9612486 0 0 0 -1 -0.2756829 0.9612486 0 0 0 -1 0.9675632 0.2526289 0 0.9544032 0.2985206 0 0.2756262 -0.961265 0 0.9675632 0.2526289 0 0 0 -1 -0.9684398 -0.2492475 0 0 0 -1 0.2756262 -0.961265 0 0 0 -1 -0.953378 -0.3017787 0 0 0 -1 -0.9684398 -0.2492475 0 0 0 -1 0 0 -1 0 0 -1 -0.953378 -0.3017787 0 0 0 -1 0.9035903 0.4283978 0 0 0 -1 -0.4067434 0.9135425 0 0 0 -1 -0.4067434 0.9135425 0 0 0 -1 0.922986 0.3848336 0 0 0 -1 0.9035903 0.4283978 0 0.4067435 -0.9135424 0 0.922986 0.3848336 0 0 0 -1 -0.9242842 -0.381705 0 0 0 -1 0.4067435 -0.9135424 0 0 0 -1 -0.9021345 -0.4314549 0 0 0 -1 -0.9242842 -0.381705 0 0 0 -1 0 0 -1 0 0 -1 -0.9021345 -0.4314549 0 0 0 -1 0.8352079 0.5499343 0 0 0 -1 -0.5299304 0.8480412 0 0 0 -1 -0.5299304 0.8480412 0 0 0 -1 0.8604137 0.5095962 0 0.8352079 0.5499343 0 0.52993 -0.8480414 0 0.8604137 0.5095962 0 0 0 -1 -0.8621448 -0.5066621 0 0 0 -1 0.52993 -0.8480414 0 0 0 -1 -0.8333266 -0.5527809 0 0 0 -1 -0.8621448 -0.5066621 0 0 0 -1 0 0 -1 0 0 -1 -0.8333266 -0.5527809 0 0 0 -1 0.7504972 0.6608736 0 0 0 -1 -0.6427944 0.7660387 0 0 0 -1 -0.6427944 0.7660387 0 0 0 -1 0.7811473 0.6243469 0 0.7504972 0.6608736 0 0.6427938 -0.7660392 0 0.7811473 0.6243469 0 0 0 -1 -0.7832847 -0.6216632 0 0 0 -1 0.6427938 -0.7660392 0 0 0 -1 -0.7482241 -0.663446 0 0 0 -1 -0.7832847 -0.6216632 0 0 0 -1 0 0 -1 0 0 -1 -0.7482241 -0.663446 0 0 0 -1 0.6512416 0.7588705 0 0 0 -1 -0.7431402 0.6691357 0 0 0 -1 -0.7431402 0.6691357 0 0 0 -1 0.6866455 0.7269925 0 0.6512416 0.7588705 0 0.7431613 -0.6691123 0 0.6866455 0.7269925 0 0 0 -1 -0.6891343 -0.7246336 0 0 0 -1 0.7431613 -0.6691123 0 0 0 -1 -0.6487035 -0.7610412 0 0 0 -1 -0.6891343 -0.7246336 0 0 0 -1 0 0 -1 0 0 -1 -0.6487035 -0.7610412 0 0 0 -1 0.5393051 0.8421105 0 0 0 -1 -0.829027 0.5592086 0 0 0 -1 -0.829027 0.5592086 0 0 0 -1 0.5787577 0.8154996 0 0.5393051 0.8421105 0 0.8290491 -0.5591758 0 0.5787577 0.8154996 0 -0.5815323 -0.8135233 0 0.8290491 -0.5591758 0 -0.5363775 -0.8439784 0 -0.5815323 -0.8135233 0 0 0 -1 -0.5363775 -0.8439784 0 0 0 -1 0.4168668 0.9089676 0 0 0 -1 -0.8987838 0.4383922 0 0 0 -1 -0.8987838 0.4383922 0 0 0 -1 0.4596837 0.8880827 0 0.4168668 0.9089676 0 0.8987939 -0.4383713 0 0.4596837 0.8880827 0 -0.4626383 -0.8865472 0 0.8987939 -0.4383713 0 -0.4136891 -0.9104183 0 -0.4626383 -0.8865472 0 0 0 -1 -0.4136891 -0.9104183 0 0 0 -1 0.2862775 0.9581468 0 0 0 -1 -0.951056 0.3090186 0 0 0 -1 -0.951056 0.3090186 0 0 0 -1 0.3316053 0.9434182 0 0.2862775 0.9581468 0 0.9510701 -0.3089749 0 0 0 -1 0.3316053 0.9434182 0 -0.334748 -0.9423077 0 0.9510701 -0.3089749 0 -0.2830414 -0.9591076 0 -0.334748 -0.9423077 0 0 0 -1 -0.2830414 -0.9591076 0 0 0 -1 0.1500886 0.9886725 0 0 0 -1 -0.9848113 0.1736281 0 0 0 -1 -0.9848113 0.1736281 0 0 0 -1 0.197117 0.9803799 0 0.1500886 0.9886725 0 0.9848032 -0.1736738 0 0.197117 0.9803799 0 -0.2004809 -0.9796976 0 0.9848032 -0.1736738 0 -0.1467197 -0.9891781 0 -0.2004809 -0.9796976 0 0 0 -1 -0.1467197 -0.9891781 0 0 0 -1 0.01103883 0.999939 0 0 0 -1 -0.9993908 0.03489947 0 0 0 -1 -0.9993908 0.03489947 0 0 0 -1 0.05873417 0.9982737 0 0.01103883 0.999939 0 0.9993908 -0.03489959 0 0.05873417 0.9982737 0 -0.06218892 -0.9980644 0 0.9993908 -0.03489959 0 -0.007569968 -0.9999714 0 -0.06218892 -0.9980644 0 -0.007569968 -0.9999714 0 0 0 -1 -0.1282256 0.991745 0 0 0 -1 -0.9945214 -0.1045334 0 0 0 -1 0 0 -1 -0.9945214 -0.1045334 0 0 0 -1 -0.08082133 0.9967287 0 -0.1282256 0.991745 0 0 0 -1 0.9945221 0.1045275 0 -0.08082133 0.9967287 0 0.07733559 -0.9970051 0 0.9945221 0.1045275 0 0.1315917 -0.991304 0 0.07733559 -0.9970051 0 0.1315917 -0.991304 0 0 0 -1 -0.2649328 0.9642669 0 0 0 -1 -0.9702965 -0.2419185 0 0 0 -1 0 0 -1 -0.9702965 -0.2419185 0 0 0 -1 -0.2187456 0.9757819 0 -0.2649328 0.9642669 0 0.9702965 0.2419188 0 -0.2187456 0.9757819 0 0.2153664 -0.9765334 0 0.9702965 0.2419188 0 0.2682725 -0.963343 0 0.2153664 -0.9765334 0 0.2682725 -0.963343 0 0 0 -1 -0.3966602 0.9179655 0 0 0 -1 -0.9271836 -0.3746072 0 0 0 -1 0 0 -1 0 0 -1 -0.9271836 -0.3746072 0 0 0 -1 -0.3524167 0.9358432 0 -0.3966602 0.9179655 0 0.9271906 0.3745902 0 -0.3524167 0.9358432 0 0.349176 -0.9370572 0 0.9271906 0.3745902 0 0.3997243 -0.9166354 0 0.349176 -0.9370572 0 0.3997243 -0.9166354 0 0 0 -1 -0.5205239 0.853847 0 0 0 -1 -0.8660398 -0.4999752 0 0 0 -1 0 0 -1 -0.8660398 -0.4999752 0 0 0 -1 -0.4792 0.8777057 0 -0.5205239 0.853847 0 0.8660073 0.5000314 0 -0.4792 0.8777057 0 0.4762676 -0.8793004 0 0.8660073 0.5000314 0 0.5234124 -0.8520796 0 0.4762676 -0.8793004 0 0.5234124 -0.8520796 0 0 0 -1 -0.6342931 0.7730928 0 0 0 -1 -0.788027 -0.6156408 0 0 0 -1 0 0 -1 -0.788027 -0.6156408 0 0 0 -1 -0.5967359 0.8024377 0 -0.6342931 0.7730928 0 0.7880043 0.6156697 0 -0.5967359 0.8024377 0 0.5939655 -0.8044906 0 0.7880043 0.6156697 0 0 0 -1 0.6368938 -0.7709515 0 0 0 -1 0.5939655 -0.8044906 0 0 0 -1 0 0 -1 0.6368938 -0.7709515 0 0 0 -1 -0.7356785 0.6773307 0 0 0 -1 -0.694665 -0.7193333 0 0 0 -1 0 0 -1 -0.694665 -0.7193333 0 0 0 -1 -0.7026227 0.7115626 0 -0.7356785 0.6773307 0 0.6946653 0.7193332 0 -0.7026227 0.7115626 0 0 0 -1 0.7001844 -0.7139621 0 0 0 -1 0.6946653 0.7193332 0 0 0 -1 0.7379931 -0.6748083 0 0 0 -1 0.7001844 -0.7139621 0 0 0 -1 0 0 -1 0.7379931 -0.6748083 0 0 0 -1 -0.8228088 0.5683184 0 0 0 -1 -0.587801 -0.8090055 0 0 0 -1 0 0 -1 -0.587801 -0.8090055 0 0 0 -1 -0.7947552 0.6069303 0 -0.8228088 0.5683184 0 0.5878007 0.8090057 0 -0.7947552 0.6069303 0 0 0 -1 0.7927016 -0.6096098 0 0 0 -1 0.5878007 0.8090057 0 0 0 -1 0.8247218 -0.5655387 0 0 0 -1 0.7927016 -0.6096098 0 0 0 -1 0 0 -1 0.8247218 -0.5655387 0 0 0 -1 -0.8939059 0.4482545 0 0 0 -1 -0.4694754 -0.8829455 0 0 0 -1 0 0 -1 -0.4694754 -0.8829455 0 0 0 -1 -0.8715086 0.4903801 0 -0.8939059 0.4482545 0 0.4694564 0.8829557 0 -0.8715086 0.4903801 0 0 0 -1 0.86982 -0.4933692 0 0 0 -1 0.4694564 0.8829557 0 0 0 -1 0.8953928 -0.445277 0 0 0 -1 0.86982 -0.4933692 0 0 0 -1 0 0 -1 0.8953928 -0.445277 0 0 0 -1 -0.9476102 0.3194291 0 0 0 -1 -0.3420263 -0.9396904 0 0 0 -1 0 0 -1 -0.3420263 -0.9396904 0 0 0 -1 -0.9312659 0.3643402 0 0 0 -1 -0.9476102 0.3194291 0 0.3420106 0.9396961 0 -0.9312659 0.3643402 0 0 0 -1 0.9300187 -0.3675122 0 0 0 -1 0.3420106 0.9396961 0 0 0 -1 0.948658 -0.3163037 0 0 0 -1 0.9300187 -0.3675122 0 0 0 -1 0 0 -1 0.948658 -0.3163037 0 0 0 -1 -0.9828149 0.1845939 0 0 0 -1 -0.2079151 -0.9781469 0 0 0 -1 0 0 -1 -0.2079151 -0.9781469 0 0 0 -1 -0.9729163 0.2311577 0 -0.9828149 0.1845939 0 0.207916 0.9781467 0 -0.9729163 0.2311577 0 0 0 -1 0.9721173 -0.2344949 0 0 0 -1 0.207916 0.9781467 0 0 0 -1 0.9834421 -0.1812226 0 0 0 -1 0.9721173 -0.2344949 0 0 0 -1 0 0 -1 0.9834421 -0.1812226 0 0 0 -1 -0.9989449 0.04592436 0 0 0 -1 -0.06975555 -0.9975642 0 0 0 -1 -0.06975555 -0.9975642 0 0 0 -1 -0.9956098 0.09360152 0 -0.9989449 0.04592436 0 0.06976813 0.9975633 0 -0.9956098 0.09360152 0 0 0 -1 0.9953009 -0.09683036 0 0 0 -1 0.06976813 0.9975633 0 0 0 -1 0.9990933 -0.0425747 0 0 0 -1 0.9953009 -0.09683036 0 0 0 -1 0.9990933 -0.0425747 0 0 0 -1 -0.9956098 -0.09360152 0 0 0 -1 0.06976813 -0.9975633 0 0 0 -1 0.06976813 -0.9975633 0 0 0 -1 -0.9989449 -0.04592436 0 -0.9956098 -0.09360152 0 -0.06975555 0.9975642 0 -0.9989449 -0.04592436 0 0.9990933 0.0425747 0 -0.06975555 0.9975642 0 0.9953009 0.09683036 0 0.9990933 0.0425747 0 0 0 -1 0.9953009 0.09683036 0 0 0 -1 -0.9729163 -0.2311577 0 0 0 -1 0.207916 -0.9781467 0 0 0 -1 0.207916 -0.9781467 0 0 0 -1 -0.9828149 -0.1845939 0 -0.9729163 -0.2311577 0 -0.2079151 0.9781469 0 -0.9828149 -0.1845939 0 0.9834421 0.1812226 0 -0.2079151 0.9781469 0 0.9721173 0.2344949 0 0.9834421 0.1812226 0 0 0 -1 0.9721173 0.2344949 0 0 0 -1 -0.9312659 -0.3643402 0 0 0 -1 0.3420106 -0.9396961 0 0 0 -1 0.3420106 -0.9396961 0 0 0 -1 -0.9476102 -0.3194291 0 -0.9312659 -0.3643402 0 -0.3420263 0.9396904 0 -0.9476102 -0.3194291 0 0.948658 0.3163037 0 -0.3420263 0.9396904 0 0.9300187 0.3675122 0 0.948658 0.3163037 0 0 0 -1 0.9300187 0.3675122 0 0 0 -1 -0.8715086 -0.4903801 0 0 0 -1 0.4694564 -0.8829557 0 0 0 -1 0.4694564 -0.8829557 0 0 0 -1 -0.8939059 -0.4482545 0 -0.8715086 -0.4903801 0 -0.4694754 0.8829455 0 0 0 -1 -0.8939059 -0.4482545 0 0.8953928 0.445277 0 -0.4694754 0.8829455 0 0.86982 0.4933692 0 0.8953928 0.445277 0 0 0 -1 0.86982 0.4933692 0 0 0 -1 -0.7947552 -0.6069303 0 0 0 -1 0.5878007 -0.8090057 0 0 0 -1 0.5878007 -0.8090057 0 0 0 -1 -0.8228088 -0.5683184 0 -0.7947552 -0.6069303 0 -0.587801 0.8090055 0 -0.8228088 -0.5683184 0 0.8247218 0.5655387 0 -0.587801 0.8090055 0 0.7927016 0.6096098 0 0.8247218 0.5655387 0 0 0 -1 0.7927016 0.6096098 0 0 0 -1 -0.7026227 -0.7115626 0 0 0 -1 0.6946653 -0.7193332 0 0 0 -1 0.6946653 -0.7193332 0 0 0 -1 -0.7356785 -0.6773307 0 -0.7026227 -0.7115626 0 -0.694665 0.7193333 0 -0.7356785 -0.6773307 0 0.7379931 0.6748083 0 -0.694665 0.7193333 0 0.7001844 0.7139621 0 0.7379931 0.6748083 0 0 0 -1 0.7001844 0.7139621 0 0 0 -1 -0.5967359 -0.8024377 0 0 0 -1 0.7880043 -0.6156697 0 0 0 -1 0.7880043 -0.6156697 0 0 0 -1 -0.6342931 -0.7730928 0 -0.5967359 -0.8024377 0 -0.788027 0.6156408 0 -0.6342931 -0.7730928 0 0.6368938 0.7709515 0 -0.788027 0.6156408 0 0.5939655 0.8044906 0 0.6368938 0.7709515 0 0 0 -1 0.5939655 0.8044906 0 0 0 -1 -0.4792 -0.8777057 0 0 0 -1 0.8660073 -0.5000314 0 0 0 -1 0.8660073 -0.5000314 0 0 0 -1 -0.5205239 -0.853847 0 -0.4792 -0.8777057 0 -0.8660398 0.4999752 0 -0.5205239 -0.853847 0 0.5234124 0.8520796 0 -0.8660398 0.4999752 0 0.4762676 0.8793004 0 0.5234124 0.8520796 0 0 0 -1 0.4762676 0.8793004 0 0 0 -1 -0.3524167 -0.9358432 0 0 0 -1 0.9271906 -0.3745902 0 0 0 -1 0 0 -1 0.9271906 -0.3745902 0 0 0 -1 -0.3966602 -0.9179655 0 -0.3524167 -0.9358432 0 -0.9271836 0.3746072 0 -0.3966602 -0.9179655 0 0.3997243 0.9166354 0 -0.9271836 0.3746072 0 0.349176 0.9370572 0 0.3997243 0.9166354 0 0 0 -1 0.349176 0.9370572 0 0 0 -1 -0.2187456 -0.9757819 0 0 0 -1 0.9702965 -0.2419188 0 0 0 -1 0.9702965 -0.2419188 0 0 0 -1 -0.2649328 -0.9642669 0 -0.2187456 -0.9757819 0 -0.9702965 0.2419185 0 -0.2649328 -0.9642669 0 0.2682725 0.963343 0 -0.9702965 0.2419185 0 0.2153664 0.9765334 0 0.2682725 0.963343 0 0 0 -1 0.2153664 0.9765334 0 0 0 -1 -0.08082133 -0.9967287 0 0 0 -1 0.9945221 -0.1045275 0 0 0 -1 0 0 -1 0.9945221 -0.1045275 0 0 0 -1 -0.1282256 -0.991745 0 -0.08082133 -0.9967287 0 -0.9945214 0.1045334 0 -0.1282256 -0.991745 0 0.1315917 0.991304 0 -0.9945214 0.1045334 0 0.07733559 0.9970051 0 0.1315917 0.991304 0 0.07733559 0.9970051 0 0 0 -1 0.05873417 -0.9982737 0 0 0 -1 0.9993908 0.03489959 0 0 0 -1 0 0 -1 0.9993908 0.03489959 0 0 0 -1 0.01103883 -0.999939 0 0.05873417 -0.9982737 0 -0.9993908 -0.03489947 0 0.01103883 -0.999939 0 -0.007569968 0.9999714 0 -0.9993908 -0.03489947 0 -0.06218892 0.9980644 0 -0.007569968 0.9999714 0 -0.06218892 0.9980644 0 0 0 -1 0.197117 -0.9803799 0 0 0 -1 0.9848032 0.1736738 0 0 0 -1 0 0 -1 0.9848032 0.1736738 0 0 0 -1 0.1500886 -0.9886725 0 0.197117 -0.9803799 0 -0.9848113 -0.1736281 0 0.1500886 -0.9886725 0 -0.1467197 0.9891781 0 -0.9848113 -0.1736281 0 -0.2004809 0.9796976 0 -0.1467197 0.9891781 0 -0.2004809 0.9796976 0 0 0 -1 0.3316053 -0.9434182 0 0 0 -1 0.9510701 0.3089749 0 0 0 -1 0 0 -1 0.9510701 0.3089749 0 0 0 -1 0.2862775 -0.9581468 0 0.3316053 -0.9434182 0 -0.951056 -0.3090186 0 0.2862775 -0.9581468 0 -0.2830414 0.9591076 0 -0.951056 -0.3090186 0 -0.334748 0.9423077 0 -0.2830414 0.9591076 0 -0.334748 0.9423077 0 0 0 -1 0.4596837 -0.8880827 0 0 0 -1 0.8987939 0.4383713 0 0 0 -1 0 0 -1 0.8987939 0.4383713 0 0 0 -1 0.4168668 -0.9089676 0 0 0 -1 0.4596837 -0.8880827 0 -0.8987838 -0.4383922 0 0.4168668 -0.9089676 0 -0.4136891 0.9104183 0 -0.8987838 -0.4383922 0 -0.4626383 0.8865472 0 -0.4136891 0.9104183 0 -0.4626383 0.8865472 0 0 0 -1 0.5787577 -0.8154996 0 0 0 -1 0.8290491 0.5591758 0 0 0 -1 0 0 -1 0.8290491 0.5591758 0 0 0 -1 0.5393051 -0.8421105 0 0.5787577 -0.8154996 0 -0.829027 -0.5592086 0 0.5393051 -0.8421105 0 -0.5363775 0.8439784 0 -0.829027 -0.5592086 0 -0.5815323 0.8135233 0 -0.5363775 0.8439784 0 -0.5815323 0.8135233 0 0 0 -1 0.6866455 -0.7269925 0 0 0 -1 0.7431613 0.6691123 0 0 0 -1 0 0 -1 0.7431613 0.6691123 0 0 0 -1 0.6512416 -0.7588705 0 0.6866455 -0.7269925 0 -0.7431402 -0.6691357 0 0.6512416 -0.7588705 0 -0.6487035 0.7610412 0 -0.7431402 -0.6691357 0 -0.6891343 0.7246336 0 -0.6487035 0.7610412 0 -0.6891343 0.7246336 0 0 0 -1 0.7811473 -0.6243469 0 0 0 -1 0.6427938 0.7660392 0 0 0 -1 0 0 -1 0.6427938 0.7660392 0 0 0 -1 0.7504972 -0.6608736 0 0.7811473 -0.6243469 0 -0.6427944 -0.7660387 0 0.7504972 -0.6608736 0 -0.7482241 0.663446 0 -0.6427944 -0.7660387 0 -0.7832847 0.6216632 0 -0.7482241 0.663446 0 -0.7832847 0.6216632 0 0 0 -1 0.8604137 -0.5095962 0 0 0 -1 0.52993 0.8480414 0 0 0 -1 0 0 -1 0.52993 0.8480414 0 0 0 -1 0.8352079 -0.5499343 0 0.8604137 -0.5095962 0 -0.5299304 -0.8480412 0 0.8352079 -0.5499343 0 -0.8333266 0.5527809 0 -0.5299304 -0.8480412 0 -0.8621448 0.5066621 0 -0.8333266 0.5527809 0 -0.8621448 0.5066621 0 0 0 -1 0.922986 -0.3848336 0 0 0 -1 0.4067435 0.9135424 0 0 0 -1 0 0 -1 0.4067435 0.9135424 0 0 0 -1 0.9035903 -0.4283978 0 0.922986 -0.3848336 0 -0.4067434 -0.9135425 0 0.9035903 -0.4283978 0 -0.9021345 0.4314549 0 -0.4067434 -0.9135425 0 -0.9242842 0.381705 0 -0.9021345 0.4314549 0 -0.9242842 0.381705 0 0 0 -1 0.9675632 -0.2526289 0 0 0 -1 0.2756262 0.961265 0 0 0 -1 0 0 -1 0.2756262 0.961265 0 0 0 -1 0.9544032 -0.2985206 0 0.9675632 -0.2526289 0 -0.2756829 -0.9612486 0 0 0 -1 0.9544032 -0.2985206 0 -0.953378 0.3017787 0 -0.2756829 -0.9612486 0 -0.9684398 0.2492475 0 -0.953378 0.3017787 0 -0.9684398 0.2492475 0 0 0 -1 0.9933133 -0.1154504 0 0.1391764 0.9902676 0 0.1391764 0.9902676 0 0 0 -1 0.9866676 -0.1627479 0 0.9933133 -0.1154504 0 -0.1391939 -0.9902652 0 0.9866676 -0.1627479 0 -0.9861108 0.1660894 0 -0.1391939 -0.9902652 0 -0.9936832 0.1122215 0 -0.9861108 0.1660894 0 -0.9936832 0.1122215 0 0.9238741 0.3826965 0 0.9238734 -0.3826963 -0.001213371 0.9238878 -0.3826636 0 0.3826965 0.9238739 5.9517e-4 0.9238871 0.3826634 -0.001213431 -0.3826965 0.923874 4.44018e-4 0.3827006 0.9238722 4.44017e-4 -0.9238734 0.3826963 -0.001213371 -0.3827006 0.9238722 5.9516e-4 -0.9238741 -0.3826965 0 -0.9238878 0.3826636 0 -0.3826965 -0.9238739 5.9517e-4 -0.9238871 -0.3826634 -0.00121355 0.3826965 -0.923874 4.44018e-4 -0.3827006 -0.9238722 4.44017e-4 0.3827006 -0.9238722 5.9516e-4 0.9238752 -0.382694 0 0.9238746 0.3826937 0.001128375 0.9238876 0.382664 0 0.3826938 -0.9238749 -8.07155e-4 0.923887 -0.3826638 0.001128375 -0.3826939 -0.9238751 -4.44018e-4 0.3827036 -0.923871 -4.44017e-4 -0.9238746 -0.3826937 0.001128375 -0.3827035 -0.9238709 -8.0713e-4 -0.9238752 0.382694 0 -0.9238876 -0.382664 0 -0.3826938 0.9238749 -8.07155e-4 -0.923887 0.3826638 0.001128494 0.3826939 0.9238751 -4.44018e-4 -0.3827036 0.923871 -4.44017e-4 0.3827035 0.9238709 -8.0713e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3826906 0.9238766 0 0.3826906 0.9238766 0 0.3826906 0.9238766 0 -0.9238766 0.3826906 0 -0.3826906 0.9238766 0 -0.9238766 -0.3826906 0 -0.9238766 0.3826906 0 -0.3826906 -0.9238766 0 -0.9238766 -0.3826906 0 0 0 -1 0.3826906 -0.9238766 0 -0.3826906 -0.9238766 0 0 0 -1 0.9238766 -0.3826906 0 0 0 -1 0.3826906 -0.9238766 0 0 0 -1 0.9238766 0.3826906 0 0.9238766 -0.3826906 0 0 0 -1 0.9238766 0.3826906 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.1565378 -0.3779588 0.9124928 -0.2809791 -0.6784208 0.6788197 -0.115214 -0.3801281 0.91773 0.6788673 -0.2812296 0.6782692 0.2810034 -0.6784049 0.6788253 0.3238961 -0.874078 0.3620483 0.6786641 0.2811454 0.6785073 0.6786708 -0.2811135 0.678514 0.2809791 0.6784208 0.6788197 0.6788852 0.2812024 0.6782625 -0.1565378 0.3779588 0.9124928 0.115214 0.3801281 0.91773 -0.6788673 0.2812296 0.6782692 -0.2810034 0.6784048 0.6788255 -0.3238961 0.874078 0.3620483 -0.6786641 -0.2811454 0.6785073 -0.6786708 0.2811135 0.678514 -0.6788852 -0.2812024 0.6782625 -0.3826822 -0.9238801 -1.05498e-5 -0.3574064 -0.8628588 0.3574009 -0.3826779 -0.9238818 0 0.3826822 -0.9238801 0 -0.9238801 -0.3826822 0 -0.9238783 -0.3826866 1.10028e-5 -0.9238801 0.3826822 1.09554e-5 -0.9238783 0.3826866 0 -0.3826822 0.9238801 0 -0.3826779 0.9238818 -1.05629e-5 0.3826779 0.9238818 0 0.3826822 0.9238801 -1.05498e-5 0.3574064 0.8628588 0.3574009 -0.2810808 0.6786005 0.6785978 0.1861393 0.6947503 0.6947476 0.315357 0.7613521 0.5664741 -0.7613307 0.3153566 0.5665031 -0.2299531 0.8582821 0.4587738 -0.4710774 0.4711322 0.745735 -0.6785805 -0.2810799 0.6786182 -0.6947265 0.1861626 0.6947652 -0.315357 -0.7613521 0.5664741 -0.4710774 -0.4711322 0.745735 -0.8582233 -0.2299742 0.4588732 -0.1861393 -0.6947503 0.6947476 0.2810808 -0.6786005 0.6785978 0.3826779 -0.9238818 -1.05629e-5 0 0 1 -0.377982 0.6546931 0.6546041 0 0 1 0.3779742 0.6546797 0.6546221 0 0 1 0.3779851 0.6546922 0.6546033 0 0 1 -0.7559384 0 0.6546428 0 0 1 -0.3779766 0.6546776 0.6546229 0 0 1 -0.3779742 -0.6546797 0.6546221 0 0 1 0 0 1 0 0 1 -0.7559383 0 0.6546428 0 0 1 0.377982 -0.6546931 0.6546041 0 0 1 -0.3779851 -0.6546922 0.6546033 0 0 1 0.7559384 0 0.6546428 0 0 1 0.3779765 -0.6546774 0.6546229 0 0 1 0 0 1 0 0 1 0.7559383 0 0.6546428 0.4710774 0.4711322 0.745735 0 0 1 0.8582233 0.2299742 0.4588732 0.6947265 -0.1861627 0.6947652 0.6785805 0.28108 0.6786182 0.4710774 -0.4711322 0.745735 0.7613309 -0.3153566 0.5665031 0.2299531 -0.8582821 0.4587739 0 0 1 0.9238801 0.3826822 0 0.9238783 0.3826866 1.10028e-5 0.9238801 -0.3826822 1.09554e-5 0.9238783 -0.3826866 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4999983 0.8660263 5.61333e-6 0.5000023 0.8660241 0 -0.4999983 0.8660263 0 1 0 -1.47849e-5 1 0 -1.47849e-5 0.4999983 -0.8660263 0 0.5000023 -0.8660241 5.63896e-6 -0.5000023 -0.8660241 0 -0.4999983 -0.8660263 5.61333e-6 -0.5000023 0.8660241 5.63896e-6 -1 0 -1.47849e-5 -1 0 -1.47849e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 0 0 -1 -1 0 0 0 -0.382913 -0.9237844 0 -0.382913 -0.9237844 -0.9238877 0.3826637 0 -0.9238877 0.3826637 0 0 0 -1 0 0 -1 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 -1 0 0 0 1 0 -0.9237951 -0.3828874 0 -1 0 0 -0.3828827 -0.923797 0 -0.9237951 -0.3828874 0 0 -1 0 -0.3828827 -0.923797 0 0 -1 0 -0.3829501 -0.923769 0 -0.9237949 -0.3828876 0 -0.3829501 -0.923769 0 -1 0 0 -0.9237949 -0.3828876 0 -1 0 -1 0 0 0 -0.9237833 0.3829156 -1 0 0 -1 0 0 0 -0.3829501 0.923769 -1 0 0 0 -0.9237833 0.3829156 -1 0 0 0 0 1 -1 0 0 0 -0.3829501 0.923769 0 0 1 -0.9237164 0.383077 0 -0.9237164 0.383077 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3828832 -0.9237968 0 -0.9237949 -0.3828876 0 -0.3828832 -0.9237968 0 -1 0 0 -0.9237949 -0.3828876 0 -0.9237673 -0.3829544 0 -1 0 0 -0.9237673 -0.3829544 1 0 0 0 0 1 0 -0.3826793 0.9238812 0 -0.3826793 0.9238812 1 0 0 0.9238877 0.3826636 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9238877 0.3826636 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 -0.3826788 -0.9238814 0 0 -1 0 -0.923895 -0.3826462 0 -0.3826788 -0.9238814 1 0 0 0 -1 0 0 -0.923895 -0.3826462 1 0 0 0 -0.9237834 0.3829154 1 0 0 0 -1 0 1 0 0 0 -0.3829501 0.923769 0 -0.9237834 0.3829154 0 0 1 0 -0.3829501 0.923769 0 0 1 0 -0.3828827 0.923797 0 -0.9237951 0.3828874 0 -0.3828827 0.923797 0 -1 0 0 -0.9237951 0.3828874 0 -1 0 0 -0.9237949 -0.3828876 0 -0.3828832 -0.9237968 0 -0.9237949 -0.3828876 0 0 -1 0 -0.3828832 -0.9237968 0 0 -1 1 0 0 0.9237164 0.383077 0 0.9237164 0.383077 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3829501 0.923769 0 -0.9237833 0.3829156 0 -0.3829501 0.923769 0 -1 0 0 -0.9237833 0.3829156 0 -1 0 0 -0.9237949 -0.3828876 0 -0.3829501 -0.923769 0 -0.9237949 -0.3828876 0 0 -1 0 -0.3829501 -0.923769 0 0 -1 0 -0.3828827 -0.923797 0 -0.9237951 -0.3828874 0 -0.3828827 -0.923797 0 -1 0 0 -0.9237951 -0.3828874 0 -0.9238892 0.3826602 0 -1 0 0 -0.9238892 0.3826602 0 1 0 0 0 -1 -0.382972 0 -0.9237599 -0.382972 0 -0.9237599 0 1 0 0.3826863 0.9238784 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3826863 0.9238784 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 -0.3829045 0 0.923788 0 0 1 -0.9237671 0 0.3829548 -0.3829045 0 0.923788 -1 0 0 -0.9237671 0 0.3829548 -0.9237994 0 0.3828769 -1 0 0 -0.3828879 0 0.9237948 -0.9237994 0 0.3828769 -1 0 0 -0.3828879 0 0.9237948 -0.9237589 0 0.3829746 -1 0 0 -0.3829777 0 0.9237576 -0.9237589 0 0.3829746 0 0 1 -0.3829777 0 0.9237576 0 0 1 0 1 0 0.38295 0 0.9237691 0 1 0 0 1 0 0 1 0 0 1 0 0.9237576 0 0.3829777 0.38295 0 0.9237691 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9237576 0 0.3829777 0 0.9238783 0.3826865 0 0.9238783 0.3826865 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9237688 0 0.3829506 -0.3829819 0 0.9237559 -0.9237688 0 0.3829506 0 0 1 -0.3829819 0 0.9237559 0 0 1 0 1 0 0.3829823 0 0.9237557 0 1 0 0.9237671 0 0.3829548 0 1 0 0.3829823 0 0.9237557 0 1 0 1 0 0 0.9237671 0 0.3829548 1 0 0 0 1 0 0.9237994 0 0.3828769 0 1 0 0.3828769 0 0.9237994 0.9237994 0 0.3828769 0 0 1 0.3828769 0 0.9237994 0 1 0 -0.3826862 0.9238784 0 -0.3826862 0.9238784 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 1 0 -0.3829458 0 -0.9237709 0 0 -1 0 1 0 -0.9237965 0 -0.3828836 -0.3829458 0 -0.9237709 0 1 0 -1 0 0 -0.9237965 0 -0.3828836 -1 0 0 0 1 0 -0.9237852 0 0.3829112 0 1 0 0 1 0 -0.3829427 0 0.9237721 0 1 0 -0.9237852 0 0.3829112 0 1 0 0 0 1 0 1 0 -0.3829427 0 0.9237721 0 0 1 0 1 0 -0.382955 0 0.923767 0 1 0 -0.9237852 0 0.3829111 -0.382955 0 0.923767 0 1 0 -1 0 0 0 1 0 -0.9237852 0 0.3829111 0 0.9238745 -0.3826957 0 0.9238745 -0.3826957 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 0.9237688 0 -0.3829506 1 0 0 0.3829541 0 -0.9237673 0.9237688 0 -0.3829506 0 0 -1 0.3829541 0 -0.9237673 0 0 -1 -0.3829819 0 -0.9237559 -0.9237701 0 -0.3829475 -0.3829819 0 -0.9237559 0 1 0 -1 0 0 -0.9237701 0 -0.3829475 -0.3829544 0 -0.9237673 -1 0 0 -0.9237878 0 -0.3829049 -0.3829544 0 -0.9237673 -1 0 0 -0.9237878 0 -0.3829049 -0.9237669 0 -0.3829551 -1 0 0 -0.9237669 0 -0.3829551 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.3826861 -0.9238784 0 -0.3826861 -0.9238784 0 0 0 -1 0.3826861 -0.9238784 0 0 0 -1 0 -1 0 0 0 -1 0.9238926 -0.3826518 0 0 0 -1 0.3826861 -0.9238784 0 1 0 0 0.9238926 -0.3826518 0 0.9238869 0.3826656 0 1 0 0 0.3826819 0.9238801 0 0.9238869 0.3826656 0 0 1 0 0.3826819 0.9238801 0 0.3826817 0.9238802 0 0 1 0 0.9238746 0.3826954 0 0.3826817 0.9238802 0 1 0 0 0.9238746 0.3826954 0 0 0 -1 0 0.3826858 -0.9238785 0 0.3826858 -0.9238785 1 0 0 1 0 0 -1 0 0 -1 0 0 -0.9238743 0.3826963 0 -1 0 0 -0.3826832 0.9238796 0 -0.9238743 0.3826963 0 0 1 0 -0.3826832 0.9238796 0 0 0 -1 -0.3826819 0.9238801 0 0 1 0 0 0 -1 -0.9238869 0.3826656 0 0 0 -1 -0.3826819 0.9238801 0 -1 0 0 -0.9238869 0.3826656 0 -0.9238926 -0.3826518 0 -1 0 0 -0.9238926 -0.3826518 0 -1 0 0 0 0 -1 0 -0.3826817 -0.9238803 0 -0.3826817 -0.9238803 -1 0 0 -0.9238876 0.3826636 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9238876 0.3826636 0 0 0 -1 0 0 -1 -1 0 0 0 0 1 -1 0 0 0 0 1 -1 0 0 0 -0.3826822 0.9238801 0 0 1 -1 0 0 0 -0.9238793 0.3826841 0 -0.3826822 0.9238801 -1 0 0 0 -1 0 -1 0 0 -1 0 0 0 -0.9238793 0.3826841 0 -0.9238794 -0.3826838 -1 0 0 0 -1 0 0 -0.9238794 -0.3826838 -0.6546311 0.3780429 0.6546309 -0.6545658 -0.3780659 0.654683 -0.6546563 -0.3779557 0.654656 -0.6546667 0.7559176 1.31191e-5 -0.6545338 0.3780088 0.654748 -0.6545841 0.3780576 -0.6546694 -0.6546812 0.7559051 0 -0.6546308 -0.3780431 -0.6546311 -0.6546497 0.3779779 -0.6546499 -0.6546665 -0.7559178 -1.23474e-5 -0.6545581 -0.3780176 -0.6547186 -0.6546801 -0.7559061 0 0 1 0 0 0 1 -0.3830593 0.9237238 0 0 0 1 0 0 1 0 1 0 -0.3826863 0.9238784 0 -0.3826863 0.9238784 0 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 -0.3830593 0.9237238 0 0 0 -1 0 0 -1 0 0 1 1 0 0 0.9238869 0.3826656 0 0.9238869 0.3826656 0 0 0 1 0.9238926 -0.3826518 0 1 0 0 0 0 1 0.3826861 -0.9238784 0 0 0 1 0.9238926 -0.3826518 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.3826861 -0.9238784 0 0 0 1 -0.3826861 -0.9238784 0 0 0 1 0 -1 0 0 0 1 -0.9238926 -0.3826518 0 0 0 1 -0.3826861 -0.9238784 0 -1 0 0 -0.9238926 -0.3826518 0 -0.9238869 0.3826656 0 -1 0 0 -0.3826819 0.9238801 0 -0.9238869 0.3826656 0 0 1 0 -0.3826819 0.9238801 0 -0.3826832 0.9238796 0 0 1 0 -0.9238743 0.3826963 0 -0.3826832 0.9238796 0 -1 0 0 -0.9238743 0.3826963 0 0 0 1 0 0.3826858 0.9238785 0 0.3826858 0.9238785 -1 0 0 -1 0 0 1 0 0 1 0 0 0.9238746 0.3826954 0 1 0 0 0.3826817 0.9238802 0 0.9238746 0.3826954 0 0 1 0 0.3826817 0.9238802 0 0.3826819 0.9238801 0 0 1 0 0.3826819 0.9238801 0 1 0 0 0 0 1 0 -0.3826822 0.9238801 0 -0.3826822 0.9238801 1 0 0 0.9238785 0.3826858 0 1 0 0 1 0 0 1 0 0 0.9238785 0.3826858 0 0 0 1 0 0 1 1 0 0 0 0 -1 1 0 0 0 0 -1 1 0 0 0 -0.3826817 -0.9238803 0 0 -1 1 0 0 0 -0.9238794 -0.3826838 0 -0.3826817 -0.9238803 1 0 0 0 -1 0 1 0 0 1 0 0 0 -0.9238794 -0.3826838 1 0 0 0 -0.9238793 0.3826841 1 0 0 0 -1 0 0 -0.9238793 0.3826841 0.6546308 0.3780431 -0.6546311 0.6545838 -0.3780581 -0.6546695 0.6546497 -0.3779779 -0.6546499 0.6546667 0.7559176 -1.31191e-5 0.6545581 0.3780176 -0.6547186 0.6545662 0.3780654 0.6546829 0.6546812 0.7559051 0 0.6546311 -0.3780429 0.6546309 0.6546563 0.3779557 0.6546561 0.6546665 -0.7559178 1.23474e-5 0.6545338 -0.3780088 0.654748 0.6546801 -0.7559061 0 0 1 0 0 0 -1 0.3830593 0.9237238 0 0 0 -1 0 0 -1 0 1 0 0.3826865 0.9238783 0 0.3826865 0.9238783 0 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0.3830593 0.9237238 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 -1 0 0 -1 -1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.9238839 -0.3826729 0 0.9238839 -0.3826729 0 0.9237197 -0.383069 0 0.9237197 -0.383069 0 0 -0.923713 0.3830854 0 -0.923713 0.3830854 0.3830698 -0.9237194 0 0.3830698 -0.9237194 0 0 -0.9237205 -0.3830673 0 -0.9237205 -0.3830673 -0.3830698 -0.9237194 0 -0.3830698 -0.9237194 0 -0.9238839 -0.3826729 0 -0.9238839 -0.3826729 0 -0.9237197 -0.383069 0 -0.9237197 -0.383069 0 0 -0.3830621 0.9237226 0 -0.3830621 0.9237226 0 -0.3830628 -0.9237223 0 -0.3830628 -0.9237223 0.9237227 -0.3830621 0 0.9237227 -0.3830621 0 0 -1 0 0.3826865 -0.9238783 0 0 -1 0 0.3826865 -0.9238783 0 0.3830853 -0.923713 0 0.3830853 -0.923713 0 -0.9237198 -0.383069 0 -0.9237198 -0.383069 0 0 -1 0 -0.3826865 -0.9238783 0 0 -1 0 -0.3826865 -0.9238783 0 -0.3830704 -0.9237192 0 -0.3830704 -0.9237192 0 0 0 -1 -0.01199525 -0.9999281 0 0 0 -1 0 0 -1 -0.8719863 -0.48953 -4.72479e-4 0 0 -1 0 0 -1 -0.8719691 -0.489561 0 0.8599488 -0.5103804 1.38243e-4 -0.01202541 -0.9999276 -4.02115e-4 0 0 -1 0.8719894 0.4895244 -5.69739e-4 0 0 -1 0.8599527 -0.5103738 2.39884e-4 0 0 -1 0.0119794 0.9999282 0 0 0 -1 0 0 -1 0 0 -1 0.8719686 0.4895617 0 -0.859948 0.5103815 1.38242e-4 0.01200956 0.9999278 -4.02104e-4 0 0 -1 -0.8599481 0.5103816 1.38324e-4 0.5103771 0.8599507 0 -0.4895626 0.8719681 0 0.5103771 0.8599507 0 0.9999278 -0.01201695 0 0.9999278 -0.01201695 0 0.4895646 -0.871967 0 0.4895646 -0.871967 0 -0.5103771 -0.8599507 0 -0.5103771 -0.8599507 0 -0.9999278 0.01201689 0 -0.9999278 0.01201689 0 -0.4895626 0.8719681 0 0.009078204 0.7558631 0.6546669 0.5880506 0.4401012 0.6786069 0.692173 0.3886166 0.6081725 -0.6938853 0.4118229 0.5906987 0.1187235 0.8250217 0.552489 -0.4113763 0.5496632 0.7270762 -0.692178 -0.3886185 0.6081655 -0.6795521 0.09779268 0.7270802 -0.5880587 -0.4401032 0.6785988 -0.009090304 -0.7558718 0.6546566 0.1424362 0.9898039 0 0.9689712 0.2471741 0 0.7116434 0.5325989 0.4581508 -0.5326058 0.7116449 0.4581404 -0.9898034 0.1424401 2.83126e-5 -0.2471976 0.968965 7.08192e-6 -0.7116463 -0.5325962 0.4581493 -0.9689713 -0.2471731 0 -0.1424362 -0.9898039 0 -0.1187235 -0.8250217 0.552489 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2472014 -0.9689641 7.071e-6 0.5326093 -0.7116409 0.4581425 0 0 1 0.2472115 -0.9689615 0 -0.9689702 -0.2471774 0 -0.9689702 -0.2471774 0 0.9689705 0.2471762 0 0.2472115 -0.9689615 0 -0.247216 0.9689604 0 0.9689705 0.2471762 0 -0.247216 0.9689604 0 0.9898034 -0.1424401 2.83126e-5 0 0 1 0 0 1 0.6938912 -0.4118179 0.5906955 0.4113793 -0.5496606 0.7270765 0.6795536 -0.09779286 0.7270788 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.01198011 -0.9999282 0 0 0 -1 0 0 -1 -0.8719852 -0.4895319 -4.85255e-4 0 0 -1 0 0 -1 -0.8719674 -0.4895637 0 0.8599523 -0.5103745 3.8697e-5 -0.01202499 -0.9999275 -5.98474e-4 0 0 -1 0.8719916 0.4895206 -4.85249e-4 0 0 -1 0.8599567 -0.510367 1.54241e-4 0 0 -1 0.01197993 0.9999282 0 0 0 -1 0 0 -1 0 0 -1 0.8719738 0.4895524 0 -0.8599523 0.5103745 3.8697e-5 0.01202481 0.9999276 -5.98477e-4 0 0 -1 -0.8599567 0.510367 1.54241e-4 0.5103769 0.8599508 0 -0.4895448 0.8719782 0 0.5103769 0.8599508 0 0.9999278 -0.01202207 0 0.9999278 -0.01202207 0 0.4895635 -0.8719677 0 0.4895635 -0.8719677 0 -0.5103588 -0.8599615 0 -0.5103588 -0.8599615 0 -0.9999278 0.01201951 0 -0.9999278 0.01201951 0 -0.4895448 0.8719782 0 0.009089827 0.7558711 0.6546574 0.5880461 0.4401026 0.67861 0.6921788 0.3886101 0.60817 -0.6938904 0.41181 0.5907019 0.1187273 0.8250247 0.5524835 -0.4113661 0.5496607 0.7270839 -0.6921786 -0.3886218 0.6081628 -0.6795541 0.09779018 0.7270786 -0.5880498 -0.4401108 0.6786015 -0.009090006 -0.7558711 0.6546573 0.1424401 0.9898034 0 0.968965 0.2471976 0 0.7116498 0.5326096 0.4581283 -0.5326011 0.7116529 0.4581332 -0.9898039 0.1424362 3.21595e-5 -0.247218 0.9689599 3.46819e-5 -0.7116392 -0.5326081 0.4581464 -0.9689692 -0.2471816 0 -0.1424401 -0.9898034 0 -0.1187273 -0.8250247 0.5524835 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2472139 -0.968961 2.76627e-5 0.5326039 -0.71165 0.4581348 0 0 1 0.2471762 -0.9689705 0 -0.9689615 -0.2472115 0 -0.9689615 -0.2472115 0 0.9689604 0.247216 0 0.2471762 -0.9689705 0 -0.2471774 0.9689702 0 0.9689604 0.247216 0 -0.2471774 0.9689702 0 0.9898039 -0.1424362 4.06638e-6 0 0 1 0 0 1 0.6938888 -0.411809 0.5907044 0.4113684 -0.5496587 0.7270841 0.6795523 -0.09778994 0.7270804 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.01198011 -0.9999282 0 0 0 -1 0 0 -1 -0.871985 -0.4895323 -4.90572e-4 0 0 -1 0 0 -1 -0.8719671 -0.4895644 0 0.8599523 -0.5103744 3.86893e-5 -0.01202499 -0.9999275 -5.98355e-4 0 0 -1 0.871985 0.4895323 -4.85159e-4 0 0 -1 0.8599568 -0.510367 1.5421e-4 0 0 -1 0.01198011 0.9999282 0 0 0 -1 0 0 -1 0 0 -1 0.8719674 0.4895641 0 -0.8599523 0.5103744 3.86893e-5 0.01202499 0.9999275 -5.98355e-4 0 0 -1 -0.8599565 0.5103673 1.48906e-4 0.5103588 0.8599616 0 -0.4895629 0.871968 0 0.5103588 0.8599616 0 0.9999277 -0.01202076 0 0.9999277 -0.01202076 0 0.4895453 -0.8719779 0 0.4895453 -0.8719779 0 -0.5103769 -0.8599508 0 -0.5103769 -0.8599508 0 -0.9999277 0.01202076 0 -0.9999277 0.01202076 0 -0.4895629 0.871968 0 0.009090006 0.755873 0.6546552 0.5880513 0.4401119 0.6785994 0.6921797 0.3886227 0.6081608 -0.6938896 0.4118099 0.5907028 0.1187275 0.8250261 0.5524814 -0.41137 0.54966 0.7270822 -0.6921777 -0.388622 0.6081635 -0.6795536 0.09779012 0.7270791 -0.5880546 -0.440109 0.6785985 -0.009090006 -0.755873 0.6546552 0.1424401 0.9898035 0 0.9689693 0.247181 0 0.7116348 0.5326048 0.4581572 -0.5326011 0.7116453 0.4581453 -0.9898039 0.1424362 3.21604e-5 -0.2472191 0.9689596 3.46831e-5 -0.711639 -0.5326014 0.4581546 -0.9689701 -0.2471779 0 -0.1424401 -0.9898035 0 -0.1187275 -0.8250261 0.5524814 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2472183 -0.9689598 3.48996e-5 0.5325984 -0.7116482 0.4581437 0 0 1 0.2471774 -0.9689702 0 -0.9689615 -0.2472115 0 -0.9689615 -0.2472115 0 0.9689615 0.2472115 0 0.2471774 -0.9689702 0 -0.2471774 0.9689702 0 0.9689615 0.2472115 0 -0.2471774 0.9689702 0 0.9898039 -0.1424362 3.30383e-5 0 0 1 0 0 1 0.6938914 -0.4118106 0.5907001 0.4113677 -0.549662 0.727082 0.6795558 -0.09779042 0.727077 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9999282 -0.01198011 0 0 0 -1 0 0 -1 0.4895323 -0.871985 -4.90572e-4 0 0 -1 0 0 -1 0.4895644 -0.8719671 0 0.5103744 0.8599523 3.86893e-5 0.9999275 -0.01202499 -5.98355e-4 0 0 -1 -0.4895323 0.871985 -4.85159e-4 0 0 -1 0.510367 0.8599568 1.5421e-4 0 0 -1 -0.9999282 0.01198011 0 0 0 -1 0 0 -1 0 0 -1 -0.4895641 0.8719674 0 -0.5103744 -0.8599523 3.86893e-5 -0.9999275 0.01202499 -5.98355e-4 0 0 -1 -0.5103673 -0.8599565 1.48906e-4 -0.8599616 0.5103588 0 -0.871968 -0.4895629 0 -0.8599616 0.5103588 0 0.01202076 0.9999277 0 0.01202076 0.9999277 0 0.8719779 0.4895453 0 0.8719779 0.4895453 0 0.8599508 -0.5103769 0 0.8599508 -0.5103769 0 -0.01202076 -0.9999277 0 -0.01202076 -0.9999277 0 -0.871968 -0.4895629 0 -0.755873 0.009090006 0.6546552 -0.4401119 0.5880513 0.6785994 -0.3886227 0.6921797 0.6081608 -0.4118099 -0.6938896 0.5907028 -0.8250261 0.1187275 0.5524814 -0.54966 -0.41137 0.7270822 0.388622 -0.6921777 0.6081635 -0.09779012 -0.6795536 0.7270791 0.440109 -0.5880546 0.6785985 0.755873 -0.009090006 0.6546552 -0.9898035 0.1424401 0 -0.247181 0.9689693 0 -0.5326048 0.7116348 0.4581572 -0.7116453 -0.5326011 0.4581453 -0.1424362 -0.9898039 3.21604e-5 -0.9689596 -0.2472191 3.46831e-5 0.5326014 -0.711639 0.4581546 0.2471779 -0.9689701 0 0.9898035 -0.1424401 0 0.8250261 -0.1187275 0.5524814 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9689598 0.2472183 3.48996e-5 0.7116482 0.5325984 0.4581437 0 0 1 0.9689702 0.2471774 0 0.2472115 -0.9689615 0 0.2472115 -0.9689615 0 -0.2472115 0.9689615 0 0.9689702 0.2471774 0 -0.9689702 -0.2471774 0 -0.2472115 0.9689615 0 -0.9689702 -0.2471774 0 0.1424362 0.9898039 3.30383e-5 0 0 1 0 0 1 0.4118106 0.6938914 0.5907001 0.549662 0.4113677 0.727082 0.09779042 0.6795558 0.727077 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.01198011 0.9999282 0 0 0 -1 0 0 -1 0.871985 0.4895323 -4.90572e-4 0 0 -1 0 0 -1 0.8719671 0.4895644 0 -0.8599523 0.5103744 3.86893e-5 0.01202499 0.9999275 -5.98355e-4 0 0 -1 -0.871985 -0.4895323 -4.85159e-4 0 0 -1 -0.8599568 0.510367 1.5421e-4 0 0 -1 -0.01198011 -0.9999282 0 0 0 -1 0 0 -1 0 0 -1 -0.8719674 -0.4895641 0 0.8599523 -0.5103744 3.86893e-5 -0.01202499 -0.9999275 -5.98355e-4 0 0 -1 0.8599565 -0.5103673 1.48906e-4 -0.5103588 -0.8599616 0 0.4895629 -0.871968 0 -0.5103588 -0.8599616 0 -0.9999277 0.01202076 0 -0.9999277 0.01202076 0 -0.4895453 0.8719779 0 -0.4895453 0.8719779 0 0.5103769 0.8599508 0 0.5103769 0.8599508 0 0.9999277 -0.01202076 0 0.9999277 -0.01202076 0 0.4895629 -0.871968 0 -0.009090006 -0.755873 0.6546552 -0.5880513 -0.4401119 0.6785994 -0.6921797 -0.3886227 0.6081608 0.6938896 -0.4118099 0.5907028 -0.1187275 -0.8250261 0.5524814 0.41137 -0.54966 0.7270822 0.6921777 0.388622 0.6081635 0.6795536 -0.09779012 0.7270791 0.5880546 0.440109 0.6785985 0.009090006 0.755873 0.6546552 -0.1424401 -0.9898035 0 -0.9689693 -0.247181 0 -0.7116348 -0.5326048 0.4581572 0.5326011 -0.7116453 0.4581453 0.9898039 -0.1424362 3.21604e-5 0.2472191 -0.9689596 3.46831e-5 0.711639 0.5326014 0.4581546 0.9689701 0.2471779 0 0.1424401 0.9898035 0 0.1187275 0.8250261 0.5524814 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2472183 0.9689598 3.48996e-5 -0.5325984 0.7116482 0.4581437 0 0 1 -0.2471774 0.9689702 0 0.9689615 0.2472115 0 0.9689615 0.2472115 0 -0.9689615 -0.2472115 0 -0.2471774 0.9689702 0 0.2471774 -0.9689702 0 -0.9689615 -0.2472115 0 0.2471774 -0.9689702 0 -0.9898039 0.1424362 3.30383e-5 0 0 1 0 0 1 -0.6938914 0.4118106 0.5907001 -0.4113677 0.549662 0.727082 -0.6795558 0.09779042 0.727077 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9999282 0.01198011 0 0 0 -1 0 0 -1 -0.4895323 0.871985 -4.90572e-4 0 0 -1 0 0 -1 -0.4895644 0.8719671 0 -0.5103744 -0.8599523 3.86893e-5 -0.9999275 0.01202499 -5.98355e-4 0 0 -1 0.4895323 -0.871985 -4.85159e-4 0 0 -1 -0.510367 -0.8599568 1.5421e-4 0 0 -1 0.9999282 -0.01198011 0 0 0 -1 0 0 -1 0 0 -1 0.4895641 -0.8719674 0 0.5103744 0.8599523 3.86893e-5 0.9999275 -0.01202499 -5.98355e-4 0 0 -1 0.5103673 0.8599565 1.48906e-4 0.8599616 -0.5103588 0 0.871968 0.4895629 0 0.8599616 -0.5103588 0 -0.01202076 -0.9999277 0 -0.01202076 -0.9999277 0 -0.8719779 -0.4895453 0 -0.8719779 -0.4895453 0 -0.8599508 0.5103769 0 -0.8599508 0.5103769 0 0.01202076 0.9999277 0 0.01202076 0.9999277 0 0.871968 0.4895629 0 0.755873 -0.009090006 0.6546552 0.4401119 -0.5880513 0.6785994 0.3886227 -0.6921797 0.6081608 0.4118099 0.6938896 0.5907028 0.8250261 -0.1187275 0.5524814 0.54966 0.41137 0.7270822 -0.388622 0.6921777 0.6081635 0.09779012 0.6795536 0.7270791 -0.440109 0.5880546 0.6785985 -0.755873 0.009090006 0.6546552 0.9898035 -0.1424401 0 0.247181 -0.9689693 0 0.5326048 -0.7116348 0.4581572 0.7116453 0.5326011 0.4581453 0.1424362 0.9898039 3.21604e-5 0.9689596 0.2472191 3.46831e-5 -0.5326014 0.711639 0.4581546 -0.2471779 0.9689701 0 -0.9898035 0.1424401 0 -0.8250261 0.1187275 0.5524814 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9689598 -0.2472183 3.48996e-5 -0.7116482 -0.5325984 0.4581437 0 0 1 -0.9689702 -0.2471774 0 -0.2472115 0.9689615 0 -0.2472115 0.9689615 0 0.2472115 -0.9689615 0 -0.9689702 -0.2471774 0 0.9689702 0.2471774 0 0.2472115 -0.9689615 0 0.9689702 0.2471774 0 -0.1424362 -0.9898039 3.30383e-5 0 0 1 0 0 1 -0.4118106 -0.6938914 0.5907001 -0.549662 -0.4113677 0.727082 -0.09779042 -0.6795558 0.727077 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 -0.5000336 0 0.866006 0 1 0 0 1 0 0.5000318 4.16847e-4 0.8660069 0 1 0 0 1 0 0.5000048 0 0.8660226 -1 -2.01793e-4 0 -0.5000066 4.15348e-4 0.8660215 0 1 0 -0.5000334 5.92736e-4 -0.866006 0 1 0 -1 -2.01793e-4 0 0 1 0 0.5000317 0 -0.8660071 0 1 0 0 1 0 0 1 0 -0.4999949 0 -0.8660283 1 -1.98689e-4 0 0.499993 5.94603e-4 -0.8660292 0 1 0 1 -1.98689e-4 0 0 0 -1 0.8660196 0 -0.50001 0 0 -1 -0.8660196 0 -0.50001 -0.8660196 0 -0.50001 -0.8660281 0 0.4999955 -0.8660281 0 0.4999955 0 0 1 0 0 1 0.8660281 0 0.4999955 0.8660281 0 0.4999955 0.8660196 0 -0.50001 0.3779587 -0.654655 -0.6546556 -0.281086 -0.6785978 -0.6785984 -0.3969021 -0.6081629 -0.6874639 0.8068884 -0.590704 0 0.3189831 -0.5525045 -0.7700575 0.6342856 -0.7270857 -0.2627323 0.3969047 -0.6081767 0.6874503 0.6342828 -0.7270851 0.2627404 0.2810927 -0.678607 0.6785864 -0.3779653 -0.6546633 0.6546435 0.3826986 0 -0.9238733 -0.7071174 0 -0.7070961 -0.3401566 -0.4581625 -0.8212068 0.821218 -0.4581377 -0.3401631 0.9238733 -2.62226e-5 0.3826982 0.7071262 -2.00593e-5 -0.7070873 0.3401731 -0.4581404 0.8212123 0.7071173 0 0.7070962 -0.3826851 0 0.9238789 -0.3189757 -0.5524891 0.7700716 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071086 -2.03837e-5 0.7071049 -0.8212081 -0.4581531 0.3401661 0 -1 0 -0.7070964 0 0.7071171 0.707107 0 0.7071065 0.707107 0 0.7071065 -0.7071068 0 -0.7071068 -0.7070964 0 0.7071171 0.7071174 0 -0.7070962 -0.7071068 0 -0.7071068 0.7071174 0 -0.7070962 -0.9238802 -2.66325e-5 -0.382682 0 -1 0 0 -1 0 -0.8069013 -0.5906864 0 -0.6342949 -0.7270741 0.2627418 -0.6342977 -0.7270746 -0.2627336 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000338 0 0.8660059 0 1 0 0 1 0 0.5000355 4.20669e-4 0.8660048 0 1 0 0 1 0 0.5000081 0 0.8660206 -1 -1.98689e-4 0 -0.5000063 4.22547e-4 0.8660216 0 1 0 -0.5000205 4.16853e-4 -0.8660135 0 1 0 -1 -1.98689e-4 0 0 1 0 0.5000222 0 -0.8660126 0 1 0 0 1 0 0 1 0 -0.4999934 0 -0.8660292 1 -2.01793e-4 0 0.4999952 4.15352e-4 -0.8660281 0 1 0 1 -2.01793e-4 0 0 0 -1 0.8660194 0 -0.5000106 0 0 -1 -0.8660194 0 -0.5000106 -0.8660194 0 -0.5000106 -0.86603 0 0.4999921 -0.86603 0 0.4999921 0 0 1 0 0 1 0.86603 0 0.4999921 0.86603 0 0.4999921 0.8660194 0 -0.5000106 0.3779604 -0.6546549 -0.6546549 -0.2810966 -0.6785958 -0.6785958 -0.3968975 -0.6081718 -0.6874587 0.8069013 -0.5906864 0 0.3189757 -0.5524891 -0.7700716 0.6342983 -0.7270747 -0.2627321 0.3969112 -0.6081666 0.6874554 0.6342954 -0.7270734 0.262742 0.2810773 -0.6786115 0.6785881 -0.3779644 -0.6546649 0.6546424 0.3826851 0 -0.9238789 -0.7071278 0 -0.7070857 -0.3401694 -0.4581589 -0.8212035 0.8212106 -0.4581584 -0.3401528 0.9238753 -2.66324e-5 0.3826936 0.7071191 -2.03652e-5 -0.7070944 0.3401547 -0.458149 0.8212151 0.707107 0 0.7071067 -0.3826934 0 0.9238754 -0.31898 -0.5524993 0.7700625 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071157 -2.00703e-5 0.707098 -0.8212153 -0.4581342 0.340174 0 -1 0 -0.7071046 0 0.707109 0.707094 0 0.7071196 0.707094 0 0.7071196 -0.7071198 0 -0.7070938 -0.7071046 0 0.707109 0.7071092 0 -0.7071044 -0.7071198 0 -0.7070938 0.7071092 0 -0.7071044 -0.9238791 -2.62228e-5 -0.3826845 0 -1 0 0 -1 0 -0.8068884 -0.590704 0 -0.6342834 -0.7270846 0.2627407 -0.6342861 -0.7270858 -0.2627308 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000355 0 0.8660049 0 1 0 0 1 0 0.5000338 4.22223e-4 0.8660058 0 1 0 0 1 0 0.5000063 0 0.8660217 -1 -2.01793e-4 0 -0.5000081 4.20654e-4 0.8660206 0 1 0 -0.5000222 4.15299e-4 -0.8660125 0 1 0 -1 -2.01793e-4 0 0 1 0 0.5000205 0 -0.8660135 0 1 0 0 1 0 0 1 0 -0.4999952 0 -0.8660281 1 -1.98689e-4 0 0.4999933 4.16866e-4 -0.8660291 0 1 0 1 -1.98689e-4 0 0 0 -1 0.8660194 0 -0.5000106 0 0 -1 -0.8660194 0 -0.5000106 -0.8660194 0 -0.5000106 -0.86603 0 0.4999921 -0.86603 0 0.4999921 0 0 1 0 0 1 0.86603 0 0.4999921 0.86603 0 0.4999921 0.8660194 0 -0.5000106 0.3779588 -0.6546553 -0.6546553 -0.2810859 -0.6785981 -0.6785981 -0.3969023 -0.6081631 -0.6874636 0.8068884 -0.590704 0 0.3189831 -0.5525045 -0.7700575 0.6342861 -0.7270858 -0.2627308 0.3969064 -0.6081753 0.6874505 0.6342834 -0.7270846 0.2627407 0.2810881 -0.6786094 0.678586 -0.3779659 -0.6546645 0.654642 0.3826986 0 -0.9238733 -0.7071191 0 -0.7070944 -0.3401561 -0.4581654 -0.8212054 0.8212184 -0.4581385 -0.3401609 0.9238733 -2.62226e-5 0.3826982 0.7071278 -2.00592e-5 -0.7070857 0.3401681 -0.4581425 0.8212133 0.7071157 0 0.707098 -0.3826799 0 0.9238811 -0.3189727 -0.5524839 0.7700766 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.707107 -2.03837e-5 0.7071067 -0.8212075 -0.4581542 0.3401659 0 -1 0 -0.707094 0 0.7071196 0.7071046 0 0.707109 0.7071046 0 0.707109 -0.7071092 0 -0.7071044 -0.707094 0 0.7071196 0.7071198 0 -0.7070938 -0.7071092 0 -0.7071044 0.7071198 0 -0.7070938 -0.9238811 -2.66326e-5 -0.3826799 0 -1 0 0 -1 0 -0.8069013 -0.5906864 0 -0.6342955 -0.7270735 0.262742 -0.6342983 -0.7270746 -0.2627321 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000319 0 0.866007 0 1 0 0 1 0 0.5000336 4.15293e-4 0.866006 0 1 0 0 1 0 0.5000066 0 0.8660216 -1 -1.98689e-4 0 -0.5000047 4.16863e-4 0.8660225 0 1 0 -0.5000316 5.94289e-4 -0.8660069 0 1 0 -1 -1.98689e-4 0 0 1 0 0.5000334 0 -0.8660061 0 1 0 0 1 0 0 1 0 -0.4999931 0 -0.8660294 1 -2.01793e-4 0 0.4999948 5.9271e-4 -0.8660283 0 1 0 1 -2.01793e-4 0 0 0 -1 0.8660196 0 -0.50001 0 0 -1 -0.8660196 0 -0.50001 -0.8660196 0 -0.50001 -0.8660281 0 0.4999955 -0.8660281 0 0.4999955 0 0 1 0 0 1 0.8660281 0 0.4999955 0.8660281 0 0.4999955 0.8660196 0 -0.50001 0.3779602 -0.6546546 -0.6546552 -0.2810967 -0.6785956 -0.6785962 -0.3968973 -0.6081717 -0.6874589 0.8069013 -0.5906864 0 0.3189757 -0.5524891 -0.7700716 0.6342977 -0.7270746 -0.2627336 0.3969094 -0.608168 0.6874552 0.6342949 -0.7270741 0.2627418 0.281082 -0.6786092 0.6785886 -0.3779637 -0.6546638 0.654644 0.3826851 0 -0.9238789 -0.7071262 0 -0.7070873 -0.34017 -0.458156 -0.8212049 0.8212103 -0.4581577 -0.340155 0.9238753 -2.66324e-5 0.3826936 0.7071174 -2.03653e-5 -0.7070961 0.3401597 -0.4581469 0.8212141 0.7071086 0 0.7071049 -0.3826986 0 0.9238733 -0.3189831 -0.5525045 0.7700575 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071173 -2.00703e-5 0.7070962 -0.8212159 -0.4581331 0.3401743 0 -1 0 -0.707107 0 0.7071065 0.7070964 0 0.7071171 0.7070964 0 0.7071171 -0.7071174 0 -0.7070962 -0.707107 0 0.7071065 0.7071068 0 -0.7071068 -0.7071174 0 -0.7070962 0.7071068 0 -0.7071068 -0.9238782 -2.62227e-5 -0.3826867 0 -1 0 0 -1 0 -0.8068884 -0.590704 0 -0.6342828 -0.7270852 0.2627404 -0.6342856 -0.7270857 -0.2627323 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 -0.0119794 -0.9999282 0 0 0 -1 0 0 -1 -0.8719894 -0.4895244 -5.69739e-4 0 0 -1 0 0 -1 -0.8719686 -0.4895617 0 0.859948 -0.5103815 1.38242e-4 -0.01200956 -0.9999278 -4.02104e-4 0 0 -1 0.8719863 0.48953 -4.72479e-4 0 0 -1 0.8599481 -0.5103816 1.38324e-4 0 0 -1 0.01199525 0.9999281 0 0 0 -1 0 0 -1 0 0 -1 0.8719691 0.489561 0 -0.8599488 0.5103804 1.38243e-4 0.01202541 0.9999276 -4.02115e-4 0 0 -1 -0.8599527 0.5103738 2.39884e-4 0.5103771 0.8599507 0 -0.4895646 0.871967 0 0.5103771 0.8599507 0 0.9999278 -0.01201689 0 0.9999278 -0.01201689 0 0.4895626 -0.8719681 0 0.4895626 -0.8719681 0 -0.5103771 -0.8599507 0 -0.5103771 -0.8599507 0 -0.9999278 0.01201695 0 -0.9999278 0.01201695 0 -0.4895646 0.871967 0 0.009090304 0.7558718 0.6546566 0.5880587 0.4401032 0.6785988 0.692178 0.3886185 0.6081655 -0.6938912 0.4118179 0.5906955 0.1187235 0.8250217 0.552489 -0.4113793 0.5496606 0.7270765 -0.692173 -0.3886166 0.6081725 -0.6795536 0.09779286 0.7270788 -0.5880507 -0.4401012 0.6786069 -0.009078204 -0.7558631 0.6546669 0.1424362 0.9898039 0 0.9689713 0.2471731 0 0.7116463 0.5325962 0.4581493 -0.5326093 0.7116408 0.4581425 -0.9898034 0.1424401 2.83126e-5 -0.2472014 0.9689641 7.04363e-6 -0.7116434 -0.5325989 0.4581509 -0.9689712 -0.2471741 0 -0.1424362 -0.9898039 0 -0.1187235 -0.8250217 0.552489 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2471976 -0.968965 7.0709e-6 0.5326058 -0.711645 0.4581404 0 0 1 0.247216 -0.9689604 0 -0.9689705 -0.2471762 0 -0.9689705 -0.2471762 0 0.9689702 0.2471774 0 0.247216 -0.9689604 0 -0.2472115 0.9689615 0 0.9689702 0.2471774 0 -0.2472115 0.9689615 0 0.9898034 -0.1424401 2.83126e-5 0 0 1 0 0 1 0.6938853 -0.4118229 0.5906987 0.4113763 -0.5496632 0.7270762 0.6795521 -0.09779268 0.7270802 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.01197993 -0.9999282 0 0 0 -1 0 0 -1 -0.8719916 -0.4895206 -4.85249e-4 0 0 -1 0 0 -1 -0.8719738 -0.4895524 0 0.8599523 -0.5103745 3.8697e-5 -0.01202481 -0.9999276 -5.98477e-4 0 0 -1 0.8719852 0.4895319 -4.85255e-4 0 0 -1 0.8599567 -0.510367 1.54241e-4 0 0 -1 0.01198011 0.9999282 0 0 0 -1 0 0 -1 0 0 -1 0.8719674 0.4895637 0 -0.8599523 0.5103745 3.8697e-5 0.01202499 0.9999275 -5.98474e-4 0 0 -1 -0.8599567 0.510367 1.54241e-4 0.5103588 0.8599615 0 -0.4895635 0.8719677 0 0.5103588 0.8599615 0 0.9999278 -0.01201951 0 0.9999278 -0.01201951 0 0.4895448 -0.8719782 0 0.4895448 -0.8719782 0 -0.5103769 -0.8599508 0 -0.5103769 -0.8599508 0 -0.9999278 0.01202207 0 -0.9999278 0.01202207 0 -0.4895635 0.8719677 0 0.009090006 0.7558711 0.6546573 0.5880499 0.4401108 0.6786014 0.6921786 0.3886218 0.6081628 -0.6938888 0.411809 0.5907044 0.1187273 0.8250247 0.5524835 -0.4113684 0.5496587 0.7270841 -0.6921788 -0.3886101 0.60817 -0.6795523 0.09778994 0.7270804 -0.5880461 -0.4401026 0.67861 -0.009089827 -0.7558711 0.6546574 0.1424401 0.9898034 0 0.9689692 0.2471816 0 0.7116392 0.5326081 0.4581464 -0.5326038 0.71165 0.4581348 -0.9898039 0.1424362 4.06638e-6 -0.2472139 0.968961 2.76762e-5 -0.7116498 -0.5326095 0.4581283 -0.968965 -0.2471976 0 -0.1424401 -0.9898034 0 -0.1187273 -0.8250247 0.5524835 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.247218 -0.9689599 3.46793e-5 0.5326012 -0.711653 0.4581332 0 0 1 0.2471774 -0.9689702 0 -0.9689604 -0.247216 0 -0.9689604 -0.247216 0 0.9689615 0.2472115 0 0.2471774 -0.9689702 0 -0.2471762 0.9689705 0 0.9689615 0.2472115 0 -0.2471762 0.9689705 0 0.9898039 -0.1424362 3.21595e-5 0 0 1 0 0 1 0.6938904 -0.41181 0.5907019 0.4113661 -0.5496607 0.7270839 0.6795541 -0.09779018 0.7270786 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 0 0 1 -0.9238539 0.3827452 0 0 0 1 0 0 1 -1 0 0 -0.9238774 -0.3826885 0 0 0 1 0 0 1 0 0 1 -0.9238541 -0.382745 4.67277e-5 -1 0 0 -0.9154163 -0.3791837 0.1350287 -1 0 0 -1 0 0 -0.9075798 -0.2173409 0.3592517 -1 0 0 -0.9249923 -0.3521552 0.142744 -1 0 0 -0.992554 -0.1218062 0 -1 0 0 -0.9926168 -0.1212924 -8.82597e-6 -0.9930535 -0.08917111 0.07676732 -0.970572 0.1228948 0.2070912 -1 0 0 -0.9075823 -0.2173315 -0.3592513 -1 0 0 -0.9705802 0.122442 -0.2073212 -0.992992 -0.08956134 -0.07710969 -1 0 0 -0.9240221 -0.3601802 -0.1282704 -1 0 0 -0.9731819 0 -0.230037 -0.973178 -7.62652e-7 -0.2300537 -0.9116518 -0.3776244 0.1621446 -0.9129587 -0.3781657 -0.1532875 -0.9154182 0.3791784 -0.1350304 -0.9116598 0.3776215 0.1621063 -0.9075803 0.2173425 -0.3592491 -0.9249925 0.3521549 -0.1427443 -0.9925548 0.1217991 0 -0.9926177 0.1212852 8.82963e-6 -0.9930544 0.0891698 -0.07675784 -0.9705717 -0.1229006 -0.2070896 -0.9075855 0.2173253 0.3592469 -0.9705798 -0.1224365 0.2073259 -0.9929925 0.08955764 0.07710647 -0.9240248 0.3601744 0.1282671 -0.9238796 0.3826832 5.13585e-5 -0.9129613 0.3781606 0.1532853 1 0 0 0 -0.4999698 0.8660429 1 0 0 1.48306e-6 0.4999675 0.8660442 1 0 0 0 0.4999727 0.8660412 1 0 0 -8.73747e-5 -1 0 1 0 0 1.47756e-6 -0.4999751 0.8660398 1 0 0 3.24329e-6 -0.4999637 -0.8660464 -8.73747e-5 -1 0 1 0 0 0 0.4999613 -0.8660477 1 0 0 1 0 0 0 -0.4999751 -0.8660398 1 0 0 -8.73747e-5 1 0 3.24602e-6 0.4999727 -0.8660412 1 0 0 -8.73747e-5 1 0 1 0 0 0 -0.500003 0.8660237 1 0 0 3.23891e-6 0.5000006 0.866025 0 0.500012 0.8660185 1 0 0 -8.73747e-5 -1 0 1 0 0 1 0 0 3.23063e-6 -0.5000144 0.8660171 1 0 0 1.2628e-5 -0.4999698 -0.8660429 -8.73747e-5 -1 0 1 0 0 0 0.4999675 -0.8660442 0 -0.5000144 -0.8660171 1 0 0 -8.73747e-5 1 0 1.26239e-5 0.500012 -0.8660185 1 0 0 -8.73747e-5 1 0 1 0 0 0 -0.4999669 0.8660445 1 0 0 2.49684e-6 0.499986 0.8660334 1 0 0 1 0 0 1 0 0 0 0.4999948 0.8660284 1 0 0 -8.73747e-5 -1 0 1.4852e-6 -0.4999721 0.8660415 1 0 0 3.24365e-6 -0.4999607 -0.8660481 1 0 0 -8.73747e-5 -1 0 1 0 0 0 0.4999798 -0.8660371 0 -0.4999721 -0.8660415 1 0 0 -8.53427e-5 1 0 1 0 0 1 0 0 4.25676e-6 0.4999948 -0.8660284 -8.53427e-5 1 0 1 0 0 0 -0.5 0.8660254 1 0 0 4.25273e-6 0.5000191 0.8660144 1 0 0 1 0 0 0 0.5000342 0.8660057 1 0 0 -8.73747e-5 -1 0 3.23827e-6 -0.5000115 0.8660188 1 0 0 1.26284e-5 -0.4999669 -0.8660445 1 0 0 -8.73747e-5 -1 0 0 0.499986 -0.8660334 0 -0.5000115 -0.8660188 1 0 0 -8.53427e-5 1 0 1.3635e-5 0.5000342 -0.8660057 -8.53427e-5 1 0 0 1 0 0 0.9238539 0.3827453 0 0.9238539 0.3827453 0 0.9238539 -0.3827453 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0.3827465 -0.9238533 0 0.9238539 -0.3827453 0 0 -1 0 0.3827465 -0.9238533 1 0 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -1 0 0 0 1 0 0.3827449 0.9238541 0 0 1 0 0.3827449 0.9238541 0 -1 0 0 -0.9238482 -0.382759 0 -0.9238482 -0.382759 0 -0.9238482 0.382759 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 0 0 -0.3827516 0.9238513 0 -0.9238482 0.382759 0 0 1 0 -0.3827516 0.9238513 1 0 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 1 0 0 1 0 0 -0.3827533 -0.9238506 0 0 -1 0 -0.3827533 -0.9238506 0 0 -1 -0.2218642 0 -0.9750777 0 0 -1 0 1 0 -0.3738868 0.09757596 -0.9223273 0 1 0 -0.3441475 0.9389156 0 0.2523065 -0.9676288 -0.005991816 0.6018626 -0.7985981 0.001641929 0.08501476 -0.9963257 -0.01037627 0.3827361 -0.9238577 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 -0.3441351 0 -0.9389202 0 0 -1 0.4343774 0.8851117 -0.1670138 0.3808226 0.9193964 -0.09840995 0.7530134 0.6559723 0.0516842 -0.2344012 -0.009197771 -0.9720965 0 0 -1 0 -1 0 0 0 -1 0 0 -1 -0.382691 -0.9238764 0 -0.3300128 -0.9430034 0.04285109 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0.3827527 0.9238508 0 0.9238534 0.3827466 0 0.3827527 0.9238508 0 0 0 -1 1 0 0 0.9238534 0.3827466 0 0 0 -1 0.9238498 0.3827552 0 1 0 0 0 0 -1 0.3827483 0.9238526 0 0 0 -1 0.9238498 0.3827552 0 0 1 0 0.3827483 0.9238526 0 0.1515128 0.9884553 0 0 1 0 0 1 0 -0.1567947 0.9876312 0 0 0.923878 0.3826872 -0.3485803 0.8659314 0.3586846 -0.154323 0.9880204 -5.20549e-5 7.08919e-6 -0.4472499 0.894409 0 0.9238882 -0.3826627 0 0.9238882 -0.3826627 -0.1743329 0.9097405 -0.3768028 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.20272e-6 0.9238891 0.3826606 0 0 1 0 1 0 -0.3827589 0.9238483 5.79132e-5 -0.3826889 0.9238773 0 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 0 1 0.9238488 -0.382751 -0.002273619 1 0 0 1 0 0 1 0 0 1 0 0 0.9523933 -0.304872 0 0.9238518 0.3827502 0 0 0 1 0.3827481 0.9238527 0 0.9238518 0.3827502 0 0 1 0 0.3827481 0.9238527 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -0.3827474 -0.923853 0 0 -1 0 -0.382691 -0.9238764 4.67247e-5 0 -1 0 -0.1568318 -0.9876253 0 0 -0.9238817 -0.3826782 -0.3485947 -0.8659299 -0.3586742 -0.1543607 -0.9880146 5.20424e-5 3.24017e-5 0.44729 -0.894389 0 -0.923878 0.3826872 0 -0.923878 0.3826872 -0.1743786 -0.9097229 0.3768239 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 9.12403e-7 -0.9238771 -0.3826892 0.9238774 0.3826887 0 -0.6234356 0 -0.7818747 0.9383746 0.2662773 -0.2203394 -0.5232112 -7.43892e-4 -0.8522028 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.5335336 0.006465971 -0.8457542 -0.6238846 3.26142e-6 -0.7815164 0 0 1 0 0 1 0 0 1 0 0.5000004 0.8660252 -1 0 0 -2.88084e-4 -0.4999904 0.8660308 0 -0.5002214 0.8658975 -1 0 0 4.84288e-5 1 0 -2.88054e-4 0.5002312 0.8658918 -1 0 0 -2.67434e-4 0.5000003 -0.8660251 -1 0 0 4.84288e-5 1 0 -1 0 0 0 -0.4999905 -0.8660309 -1 0 0 0 0.5002148 -0.8659015 4.84288e-5 -1 0 -2.67384e-4 -0.5002049 -0.8659071 4.84288e-5 -1 0 -1 0 0 0 0.5000169 0.8660156 -1 0 0 -2.67432e-4 -0.500007 0.8660213 -1 0 0 -1 0 0 0 -0.5002214 0.8658975 -1 0 0 4.84288e-5 1 0 -1 0 0 -2.67408e-4 0.5002312 0.8658918 -2.63562e-4 0.5000034 -0.8660234 4.84288e-5 1 0 -1 0 0 0 -0.4999935 -0.8660291 0 0.5002148 -0.8659015 4.84288e-5 -1 0 -2.63513e-4 -0.5002049 -0.8659071 4.84288e-5 -1 0 -1 0 0 0 0.5 0.8660253 -2.88457e-4 -0.4999904 0.8660308 0 -0.5002217 0.8658974 4.76838e-5 1 0 -2.88424e-4 0.5002312 0.8658918 -1 0 0 -2.67806e-4 0.5 -0.8660253 4.76838e-5 1 0 -1 0 0 0 -0.4999905 -0.8660309 -1 0 0 -1 0 0 0 0.5002148 -0.8659015 -1 0 0 4.76838e-5 -1 0 -1 0 0 -2.67757e-4 -0.5002052 -0.8659068 4.76838e-5 -1 0 -1 0 0 0 0.5000166 0.8660159 -1 0 0 -2.67805e-4 -0.500007 0.8660213 -1 0 0 0 -0.5002217 0.8658974 4.76838e-5 1 0 -2.67779e-4 0.5002312 0.8658918 -1 0 0 -2.63934e-4 0.5000031 -0.8660236 4.76838e-5 1 0 0 -0.4999935 -0.8660291 0 0.5002148 -0.8659015 -1 0 0 4.76838e-5 -1 0 -2.63886e-4 -0.5002051 -0.8659068 -1 0 0 4.76838e-5 -1 0 0 -0.3826879 0.9238777 0 0 1 0 0 1 0 -0.3826879 0.9238777 0 -0.3827477 0.9238529 -1.03957e-5 -0.9238537 0.3827458 -1.16076e-5 -0.3826777 0.9238819 0 -0.9238797 0.382683 0 -0.3826879 -0.9238777 -1 0 0 0 0 -1 2.20316e-6 -0.3826612 -0.9238887 0 -0.9238537 -0.3827458 -9.54024e-6 -0.3827486 -0.9238526 -9.53981e-6 -0.9238776 -0.3826882 0 0 -1 0 -0.382691 -0.9238765 0 0.3826764 0.9238824 -1 0 0 0 0 1 -9.12626e-7 0.3826875 0.9238779 0 0.9238529 0.3827476 -1.2475e-5 0.3827474 0.923853 -1.24962e-5 0.9238843 0.3826722 0 0 1 0 0.3826721 0.9238842 0 0.3826764 -0.9238824 0 0 -1 0 0 -1 0 0.3826764 -0.9238824 0 0.3827483 -0.9238526 -1.16396e-5 0.9238529 -0.3827476 -1.04095e-5 0.3826854 -0.9238787 0 0.9238821 -0.3826774 -0.1543647 0 0.9880139 -0.3727689 0.3550907 0.8572945 -0.0327062 -0.9789356 0.2015326 -0.1601459 -0.02390283 0.9868038 -0.1716459 0.3770079 0.9101663 -0.3574135 0.8628581 0.3573952 -0.3658674 -0.8598243 0.3561505 -0.358385 -0.865198 0.350703 -0.1601917 0 0.9870858 -0.3484286 -0.3587068 0.8659833 -0.1556379 0.01471698 0.9877046 -4.51402e-6 -0.8944007 -0.4472667 -0.1482771 -0.3784475 0.9136692 -0.1543269 0 -0.9880198 -0.3727493 -0.3551113 -0.8572945 -0.03269547 0.9789479 -0.2014752 -0.1601386 0.02402532 -0.9868021 -0.171611 -0.3769844 -0.9101826 -0.3574134 -0.8628521 -0.3574103 -0.3658584 0.8598298 -0.3561465 -0.3583829 0.8651984 -0.3507041 -0.3824229 0.923235 0.03728115 -0.1601849 0 -0.987087 -0.3484197 0.3586975 -0.8659907 -2.68497e-5 0.8944488 0.4471705 -0.1556307 -0.01472002 -0.9877055 -0.1482702 0.3784556 -0.913667 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.3517286 -0.3767808 0.8569266 -0.6487595 0.02023011 0.7607246 -0.4528853 -0.2182586 0.8644409 -0.3650327 0.8628077 0.3497344 -0.351742 0.3768916 0.8568724 -0.4528864 0.2182651 -0.8644387 -0.6487284 -0.02017271 -0.7607525 -0.3517321 0.3767734 -0.8569285 -0.3650495 -0.8628014 -0.3497322 -0.3517558 -0.3768774 -0.856873 -0.4048216 -0.7491634 0.5242838 -0.3941814 -0.4252796 0.8147137 -0.4047579 -0.5234137 -0.7498061 -0.3941577 -0.8148676 -0.4250066 -0.4047499 0.5234087 0.7498137 -0.3941472 0.8148641 0.425023 -0.4048219 0.7491533 -0.524298 -0.3941806 0.4252818 -0.8147129 -0.8844463 0.1879519 0.4271168 -0.3487688 -0.6597194 0.6656806 -0.5694884 0.7342433 0.3695534 -0.2046302 -0.8205913 0.5336258 -0.8037101 0.4405282 0.3999812 -0.4639342 0.02586567 0.885492 -0.4999508 0.3752651 0.7805287 -0.8849861 0.06636983 0.460863 -0.9366762 0.2653866 0.2284899 -0.9398239 0.2529502 0.2296682 -0.9359746 0.3520677 -8.2294e-6 -0.9410312 0.256407 -0.2207165 -0.7636862 0.6455876 -2.65111e-6 -0.7818601 0.4616037 -0.4190668 -0.7634702 0.645843 -1.27967e-5 -0.9356496 0.3529304 6.52275e-6 -0.9380672 0.2565131 -0.2328754 -0.4611058 0.8873451 5.54204e-5 -0.5023311 0.7796348 -0.3739427 -0.4589686 0.8884525 2.03604e-6 -0.7974588 0.4655774 -0.3837931 -0.9764888 0.10604 0.1876845 -0.7910323 0.5867631 0.1731386 -0.4640253 0.01471322 -0.8856997 -0.6800974 0.2648869 -0.6835953 -0.7951352 0.6061369 -0.01892173 -0.8262079 0.2269775 -0.5156179 -0.9380162 0.05928939 -0.3414826 -0.7861021 -2.04759e-6 -0.6180967 -0.7861813 2.57939e-6 -0.6179959 -0.7950727 -0.6062182 -0.01894772 -0.8844522 -0.1879415 -0.4271094 -0.3486649 0.6599205 -0.6655358 -0.5694203 -0.7343031 -0.3695396 -0.2044922 0.8206532 -0.5335835 -0.8037213 -0.4405074 -0.3999816 -0.4639064 -0.02574396 -0.88551 -0.4999585 -0.3752649 -0.780524 -0.8849858 -0.06637287 -0.4608631 -0.9366811 -0.2653768 -0.2284815 -0.9398311 -0.2529298 -0.2296607 -0.9359809 -0.3520509 8.23749e-6 -0.94103 -0.2563975 0.2207323 -0.7636752 -0.6456007 2.68319e-6 -0.7818583 -0.4616049 0.4190686 -0.7634593 -0.6458559 1.28137e-5 -0.9356559 -0.3529135 -6.51476e-6 -0.938072 -0.2565034 0.232867 -0.4611067 -0.8873447 -5.54207e-5 -0.5023224 -0.779639 0.3739454 -0.4589678 -0.888453 -1.99104e-6 -0.7974535 -0.4655778 0.3838037 -0.976489 -0.1060503 -0.1876767 -0.7910214 -0.5867761 -0.1731442 -0.8261981 -0.2269874 0.5156291 -0.9380221 -0.05927592 0.3414689 -0.6801298 -0.2648617 0.6835729 -0.4640235 -0.01471066 0.8857007 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0.8467153 0.5320464 0 0 0 1 0.5320464 0.8467153 0 0 0 1 0 0 1 0.5320464 0.8467153 0 0 0 1 0.9937084 0.111998 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8467153 0.5320464 0 0 0 1 0.9438915 -0.3302559 0 0 0 1 0 0 1 0 0 1 0.9937084 0.111998 0 0.7071068 -0.7071068 0 0.9438915 -0.3302559 0 0.3302559 -0.9438915 0 0.7071068 -0.7071068 0 0 0 1 -0.111998 -0.9937084 0 0 0 1 0 0 1 0 0 1 0.3302559 -0.9438915 0 0 0 1 -0.5320464 -0.8467153 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.111998 -0.9937084 0 0 0 1 -0.8467153 -0.5320464 0 0 0 1 0 0 1 -0.5320464 -0.8467153 0 0 0 1 -0.9937084 -0.111998 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8467153 -0.5320464 0 0 0 1 -0.9438915 0.3302559 0 0 0 1 0 0 1 0 0 1 -0.9937084 -0.111998 0 -0.7071068 0.7071068 0 -0.9438915 0.3302559 0 -0.3302559 0.9438915 0 -0.7071068 0.7071068 0 0 0 1 0.111998 0.9937084 0 0 0 1 0 0 1 0 0 1 -0.3302559 0.9438915 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.111998 0.9937084 0 0 0 1 -0.5555568 -0.8314787 0 0 0 1 -0.8311324 -0.5553255 -0.02885752 0 0 1 0 0 1 -0.7867006 -0.6173349 0 0 0 1 -0.1950991 -0.9807835 0 0 0 1 0 0 1 -0.5555568 -0.8314787 0 0 0 1 0.1950801 -0.9807873 0 0 0 1 0 0 1 -0.1950991 -0.9807835 0 0 0 1 0.5555781 -0.8314644 0 0 0 1 0.1950801 -0.9807873 0 0 0 1 0.8314644 -0.5555781 0 0 0 1 0 0 1 0 0 1 0.5555781 -0.8314644 0 0 0 1 0.9807873 -0.1950801 0 0 0 1 0 0 1 0.8314644 -0.5555781 0 0 0 1 0.9807835 0.1950991 0 0 0 1 0 0 1 0 0 1 0.9807873 -0.1950801 0 0 0 1 0.8314787 0.5555568 0 0 0 1 0.9807835 0.1950991 0 0 0 1 0.5555568 0.8314787 0 0 0 1 0.8314787 0.5555568 0 0 0 1 0.1950991 0.9807835 -1.1866e-4 0 0 1 0 0 1 0.5555183 0.8315042 9.31699e-5 0 0 1 -0.1950801 0.9807873 -3.59285e-5 0 0 1 0 0 1 0.1950588 0.9807915 -3.59273e-5 0 0 1 -0.5555781 0.8314644 -4.85285e-5 0 0 1 -0.1951765 0.9807682 1.62107e-4 0 0 1 -0.8314644 0.5555781 -8.35345e-5 0 0 1 0 0 1 0 0 1 0 0 1 -0.5555636 0.8314741 -8.35342e-5 0 0 1 -0.9784924 0.1946237 -0.06836742 0 0 1 0 0 1 -0.9243859 0.3809927 0.01884824 -0.8314874 0.5555436 0 -0.7858306 0.6166521 -0.04701656 0 0 1 -0.9784771 -0.1946403 -0.06853926 0 0 1 0 0 1 0 0 1 -0.9883649 -0.1521017 -7.10557e-5 -0.9883608 0.1521278 -1.34895e-6 0 0 1 0 0 1 -0.939613 -0.3422389 0 -0.9107843 -0.4127488 0.01050806 0 0 1 0.2588173 0.9659263 0 0.9659239 0.2588264 0 0.9659239 0.2588264 0 0 0 1 -0.7070955 0.7071181 0 0.2588173 0.9659263 0 -0.9659247 -0.2588231 0 -0.7070955 0.7071181 0 0 0 1 -0.2588173 -0.9659263 0 -0.9659247 -0.2588231 0 0 0 1 0.7070937 -0.7071198 0 0 0 1 -0.2588173 -0.9659263 0 0 0 1 0 0 1 0.7070937 -0.7071198 0 0 0 1 0.9659263 -0.2588173 0 0 0 1 0.2588264 -0.9659239 0 0 0 1 0 0 1 0.2588264 -0.9659239 0 0.7071181 0.7070955 0 0.9659263 -0.2588173 0 -0.2588231 0.9659247 0 0.7071181 0.7070955 0 -0.9659263 0.2588173 0 0 0 1 -0.2588231 0.9659247 0 -0.7071198 -0.7070937 0 -0.9659263 0.2588173 0 -0.7071198 -0.7070937 0 0 0 1 -0.2588173 -0.9659263 0 -0.9659239 -0.2588264 0 -0.9659239 -0.2588264 0 0 0 1 0.7070955 -0.7071181 0 -0.2588173 -0.9659263 0 0.9659247 0.2588231 0 0.7070955 -0.7071181 0 0 0 1 0.2588173 0.9659263 0 0 0 1 0 0 1 0.9659247 0.2588231 0 0 0 1 -0.7070937 0.7071198 0 0 0 1 0.2588173 0.9659263 0 0 0 1 0 0 1 -0.7070937 0.7071198 0 0 0 1 -0.9659263 0.2588173 0 0 0 1 -0.2588264 0.9659239 0 0 0 1 0 0 1 0 0 1 -0.2588264 0.9659239 0 -0.7071181 -0.7070955 0 0 0 1 0 0 1 -0.9659263 0.2588173 0 0.2588231 -0.9659247 0 -0.7071181 -0.7070955 0 0.9659263 -0.2588173 0 0 0 1 0.2588231 -0.9659247 0 0.7071198 0.7070937 0 0.9659263 -0.2588173 0 0.7071198 0.7070937 0 0.2586013 0.9659842 0 0.9659944 0.2585631 0 0.9659944 0.2585631 0 -0.7071192 0.7070944 0 0.2586013 0.9659842 0 0 0 1 -0.965994 -0.2585647 0 0 0 1 -0.7071192 0.7070944 0 0 0 1 -0.2586013 -0.9659842 0 0 0 1 -0.965994 -0.2585647 0 0 0 1 0.7071158 -0.7070979 0 0 0 1 -0.2586013 -0.9659842 0 0 0 1 0.7071158 -0.7070979 0 0.9659842 -0.2586013 0 0 0 1 0.2585631 -0.9659944 0 0.2585631 -0.9659944 0 0.7070944 0.7071192 0 0.9659842 -0.2586013 0 -0.2585647 0.965994 0 0.7070944 0.7071192 0 0 0 1 -0.9659842 0.2586013 0 0 0 1 -0.2585647 0.965994 0 0 0 1 -0.7070979 -0.7071158 0 0 0 1 -0.9659842 0.2586013 0 0 0 1 -0.7070979 -0.7071158 0 -0.2586013 -0.9659842 0 -0.9659944 -0.2585631 0 -0.9659944 -0.2585631 0 0.7071192 -0.7070944 0 -0.2586013 -0.9659842 0 0 0 1 0.965994 0.2585647 0 0 0 1 0.7071192 -0.7070944 0 0 0 1 0.2586013 0.9659842 0 0 0 1 0.965994 0.2585647 0 0 0 1 -0.7071158 0.7070979 0 0 0 1 0.2586013 0.9659842 0 0 0 1 -0.7071158 0.7070979 0 -0.9659842 0.2586013 0 0 0 1 -0.2585631 0.9659944 0 -0.2585631 0.9659944 0 -0.7070944 -0.7071192 0 -0.9659842 0.2586013 0 0.2585647 -0.965994 0 -0.7070944 -0.7071192 0 0 0 1 0.9659842 -0.2586013 0 0 0 1 0.2585647 -0.965994 0 0 0 1 0.7070979 0.7071158 0 0 0 1 0.9659842 -0.2586013 0 0 0 1 0.7070979 0.7071158 0 -1.58077e-4 1 0 0 0 1 1 -1.5891e-4 0 1 -1.5891e-4 0 0 0 1 -1 1.59724e-4 0 -1.58077e-4 1 0 0 0 1 2.11593e-4 -1 0 0 0 1 -1 1.59724e-4 0 2.11593e-4 -1 0 0.8828542 0.469647 0 0.4693075 -0.8830347 0 0.4693075 -0.8830347 0 -0.4693341 0.8830207 0 0.8828542 0.469647 0 -0.88288 -0.4695985 0 -0.4693341 0.8830207 0 -0.88288 -0.4695985 0 -0.657428 0.7535173 0 -0.3007055 0.9537171 0 -0.3007055 0.9537171 0 -0.9995644 0.02951514 0 -0.657428 0.7535173 0 -0.8343131 -0.5512909 0 -0.9995644 0.02951514 0 -0.5512909 -0.8343131 0 -0.8343131 -0.5512909 0 0.02951514 -0.9995644 0 -0.5512909 -0.8343131 0 0.7535173 -0.657428 0 0.02951514 -0.9995644 0 0.9537171 -0.3007055 0 0.7535173 -0.657428 0 0.9979205 0.06445664 0 0.9537171 -0.3007055 0 0.6935417 0.7204166 0 0.9979205 0.06445664 0 0.5571651 0.8304018 0 0.6935417 0.7204166 0 0.8304018 0.5571651 0 0.5571651 0.8304018 0 0.7204166 0.6935417 0 0.8304018 0.5571651 0 0.06445664 0.9979205 0 0.7204166 0.6935417 0 0.06445664 0.9979205 0 0 0 1 -0.8304018 0.5571651 0 0 0 1 -0.7204166 0.6935417 0 -0.7204166 0.6935417 0 -0.5571651 0.8304018 0 -0.8304018 0.5571651 0 0 0 1 -0.6935417 0.7204166 0 -0.5571651 0.8304018 0 -0.9979205 0.06445664 0 -0.6935417 0.7204166 0 -0.9537171 -0.3007055 0 -0.9979205 0.06445664 0 -0.7535173 -0.657428 0 -0.9537171 -0.3007055 0 -0.02951514 -0.9995644 0 -0.7535173 -0.657428 0 0.5512909 -0.8343131 0 -0.02951514 -0.9995644 0 0.8343131 -0.5512909 0 0.5512909 -0.8343131 0 0.9995644 0.02951514 0 0.8343131 -0.5512909 0 0.657428 0.7535173 0 0.9995644 0.02951514 0 0.3007055 0.9537171 0 0.657428 0.7535173 0 -0.06445664 0.9979205 0 0.3007055 0.9537171 0 -0.06445664 0.9979205 0 -0.5571651 -0.8304018 0 -0.6935417 -0.7204166 0 -0.6935417 -0.7204166 0 -0.8304018 -0.5571651 0 -0.5571651 -0.8304018 0 -0.7204166 -0.6935417 0 -0.8304018 -0.5571651 0 -0.06445664 -0.9979205 0 -0.7204166 -0.6935417 0 0.3007055 -0.9537171 0 -0.06445664 -0.9979205 0 0.657428 -0.7535173 0 0.3007055 -0.9537171 0 0.9995644 -0.02951514 0 0.657428 -0.7535173 0 0.8343131 0.5512909 0 0.9995644 -0.02951514 0 0.5512909 0.8343131 0 0.8343131 0.5512909 0 -0.02951514 0.9995644 0 0.5512909 0.8343131 0 -0.7535173 0.657428 0 -0.02951514 0.9995644 0 -0.9537171 0.3007055 0 -0.7535173 0.657428 0 -0.9979205 -0.06445664 0 -0.9537171 0.3007055 0 -0.9979205 -0.06445664 0 -0.9995644 -0.02951514 0 -0.8343131 0.5512909 0 -0.8343131 0.5512909 0 -0.657428 -0.7535173 0 -0.9995644 -0.02951514 0 -0.3007055 -0.9537171 0 -0.657428 -0.7535173 0 0.06445664 -0.9979205 0 -0.3007055 -0.9537171 0 0 0 1 0.7204166 -0.6935417 0 0 0 1 0.06445664 -0.9979205 0 0 0 1 0.8304018 -0.5571651 0 0.7204166 -0.6935417 0 0.5571651 -0.8304018 0 0.8304018 -0.5571651 0 0.6935417 -0.7204166 0 0.5571651 -0.8304018 0 0.9979205 -0.06445664 0 0.6935417 -0.7204166 0 0.9537171 0.3007055 0 0.9979205 -0.06445664 0 0.7535173 0.657428 0 0.9537171 0.3007055 0 0.02951514 0.9995644 0 0.7535173 0.657428 0 -0.5512909 0.8343131 0 0.02951514 0.9995644 0 -0.5512909 0.8343131 0 0 0 -1 0.4999728 0.8660411 0 0 0 -1 0.8660411 0.4999728 -5.74635e-5 0 0 -1 0.8660364 0.4999808 0 0 0 -1 0 1 1.67639e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4999808 0.8660364 -5.74676e-5 0 0 -1 -0.4999728 0.8660411 -1.93918e-4 0 0 -1 2.31497e-5 1 2.38519e-5 0 0 -1 -0.8660411 0.4999728 1.31292e-4 -0.5000181 0.866015 1.31293e-4 0 0 -1 -1 0 2.3842e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.866015 0.5000181 -1.93938e-4 0 0 -1 -0.8660411 -0.4999728 -5.74635e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 -2.31497e-5 1.67629e-4 0 0 -1 -0.4999728 -0.8660411 0 0 0 -1 -0.8660364 -0.4999808 0 0 0 -1 0 -1 1.67639e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4999808 -0.8660364 -5.75368e-5 0 0 -1 0.4999728 -0.8660411 -1.93918e-4 0 0 -1 -2.31497e-5 -1 2.38519e-5 0 0 -1 0.8660411 -0.4999728 1.31292e-4 0.5000181 -0.866015 1.31293e-4 0 0 -1 1 0 2.3842e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.866015 -0.5000181 -1.93938e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 2.31497e-5 1.67629e-4 0.730175 0.195654 -0.654648 0.1956512 0.7301693 -0.6546553 0.1956478 0.7301731 -0.654652 0.5345318 -0.5345232 -0.6546455 0.7301757 0.195656 -0.6546466 0 0 -1 -0.1956512 -0.7301695 -0.6546549 0 0 -1 0 0 -1 0.5345078 -0.5345276 -0.6546616 0 0 -1 -0.7301755 -0.1956554 -0.6546469 0 0 -1 0 0 -1 -0.195648 -0.7301734 -0.6546516 0 0 -1 -0.5345307 0.5345234 -0.6546462 0 0 -1 -0.7301746 -0.195653 -0.6546487 0 0 -1 0 0 -1 -0.53451 0.5345272 -0.6546601 0 0 -1 0.195654 -0.730175 -0.654648 0 0 -1 0.7301693 -0.1956512 -0.6546553 0 0 -1 0 0 -1 0.7301731 -0.1956478 -0.654652 -0.5345232 -0.5345318 -0.6546455 0 0 -1 0.195656 -0.7301757 -0.6546466 0 0 -1 -0.7301695 0.1956512 -0.6546549 0 0 -1 -0.5345276 -0.5345078 -0.6546616 0 0 -1 -0.1956554 0.7301755 -0.6546469 0 0 -1 0 0 -1 0 0 -1 -0.7301734 0.195648 -0.6546516 0 0 -1 0.5345234 0.5345307 -0.6546462 0 0 -1 0 0 -1 0 0 -1 -0.195653 0.7301746 -0.6546487 0 0 -1 0.5345272 0.53451 -0.6546601 -0.730175 -0.195654 -0.654648 -0.1956512 -0.7301693 -0.6546553 -0.1956478 -0.7301731 -0.654652 -0.5345318 0.5345232 -0.6546455 -0.7301757 -0.195656 -0.6546466 0 0 -1 0.1956512 0.7301695 -0.6546549 0 0 -1 0 0 -1 0 0 -1 -0.5345078 0.5345276 -0.6546616 0 0 -1 0.7301755 0.1956554 -0.6546469 0 0 -1 0 0 -1 0.195648 0.7301734 -0.6546516 0 0 -1 0.5345307 -0.5345234 -0.6546462 0 0 -1 0.7301746 0.195653 -0.6546487 0 0 -1 0 0 -1 0.53451 -0.5345272 -0.6546601 0 0 -1 -0.195654 0.730175 -0.654648 0 0 -1 -0.7301693 0.1956512 -0.6546553 0 0 -1 0 0 -1 -0.7301731 0.1956478 -0.654652 0.5345232 0.5345318 -0.6546455 0 0 -1 -0.195656 0.7301757 -0.6546466 0 0 -1 0.7301695 -0.1956512 -0.6546549 0 0 -1 0.5345276 0.5345078 -0.6546616 0 0 -1 0.1956554 -0.7301755 -0.6546469 0 0 -1 0 0 -1 0 0 -1 0.7301734 -0.195648 -0.6546516 0 0 -1 -0.5345234 -0.5345307 -0.6546462 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.195653 -0.7301746 -0.6546487 0 0 -1 -0.5345272 -0.53451 -0.6546601 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8221712 0.5692403 0 0.4639766 0.8858474 0 0.4639766 0.8858474 0 0.8845648 0.4664173 0 0.8221712 0.5692403 0 0.999997 0.002504527 0 0.8845648 0.4664173 0 0.6653977 -0.7464891 0 0.999997 0.002504527 0 0.3007279 -0.9537101 0 0.3007279 -0.9537101 0 0.6653977 -0.7464891 0 0.3007279 0.9537101 0 -0.9108346 0.4127716 0 0.3007279 0.9537101 0 0.6653977 0.7464891 0 0.999997 -0.002504527 0 0.6653977 0.7464891 0 0.8845648 -0.4664173 0 0.999997 -0.002504527 0 0.8221712 -0.5692403 0 0.8845648 -0.4664173 0 0.4639766 -0.8858474 0 0.8221712 -0.5692403 0 -0.35488 -0.9349119 0 0.4639766 -0.8858474 0 0 0 -1 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 -0.35488 -0.9349119 0 0 0 -1 -0.7071068 0.7071068 0 -0.7867006 -0.6173349 0 -0.7071068 0.7071068 0 -0.35488 0.9349119 0 -0.35488 0.9349119 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660367 -0.4999806 0 -0.4999806 -0.8660367 -3.50008e-5 -0.4999729 -0.866041 0 0 0 -1 -1 -2.46435e-5 1.11752e-4 0 0 -1 0 0 -1 0 0 -1 -0.866041 -0.4999729 -3.48656e-5 -0.8660131 0.5000213 -1.26617e-4 -1 0 1.38616e-5 -0.5000213 0.8660131 9.52685e-5 -0.866041 0.4999729 9.5286e-5 0 0 -1 2.46435e-5 1 1.38684e-5 0 0 -1 -0.4999729 0.866041 -1.26586e-4 0.4999806 0.8660367 -3.50008e-5 0 0 -1 0 0 -1 0 1 1.11759e-4 0 0 -1 0.8660367 0.4999806 0 0.4999729 0.866041 0 0 0 -1 1 2.46435e-5 1.11752e-4 0 0 -1 0 0 -1 0 0 -1 0.866041 0.4999729 -3.48656e-5 0.8660131 -0.5000213 -1.26617e-4 1 0 1.38616e-5 0.5000213 -0.8660131 9.52685e-5 0.866041 -0.4999729 9.5286e-5 0 0 -1 -2.46435e-5 -1 1.38684e-5 0 0 -1 0.4999729 -0.866041 -1.26586e-4 0 0 -1 0 0 -1 0 -1 1.11759e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 -0.8660161 0 -0.5000162 0 -1 0 -0.8660237 0 0.5000031 0 -1 0 -0.8660237 0 0.5000031 0 -1 0 0 0 -1 0 -1 0 0 -1 0 -0.8660161 0 -0.5000162 0 -1 0 0.8660281 0 -0.4999954 0 -1 0 0 0 -1 0 -1 0 0.8660357 0 0.4999823 0.8660281 0 -0.4999954 0 -1 0 0 0 1 0.8660357 0 0.4999823 0 -1 0 0 0 1 0 -1 0 -0.8660234 0 -0.5000033 -0.8660167 0 0.5000152 -0.8660167 0 0.5000152 0 -1 0 0 0 -1 0 -1 0 -0.8660234 0 -0.5000033 0 -1 0 0.8660355 0 -0.4999825 0 -1 0 0 0 -1 0 -1 0 0.8660286 0 0.4999943 0 -1 0 0.8660355 0 -0.4999825 0 -1 0 0 0 1 0.8660286 0 0.4999943 0 0 1 0 -1 0 -0.8660167 0 -0.5000152 0 -1 0 -0.8660234 0 0.5000033 -0.8660234 0 0.5000033 0 -1 0 0 0 -1 -0.8660167 0 -0.5000152 0 -1 0 0.8660286 0 -0.4999943 0 -1 0 0 -1 0 0 0 -1 0 -1 0 0.8660355 0 0.4999825 0.8660286 0 -0.4999943 0 -1 0 0 0 1 0.8660355 0 0.4999825 0 0 1 0 -1 0 -0.8660237 0 -0.5000031 0 -1 0 -0.8660161 0 0.5000162 -0.8660161 0 0.5000162 0 -1 0 0 0 -1 -0.8660237 0 -0.5000031 0 -1 0 0.8660357 0 -0.4999823 0 -1 0 0 0 -1 0 -1 0 0.8660281 0 0.4999954 0 -1 0 0.8660357 0 -0.4999823 0 -1 0 0 0 1 0.8660281 0 0.4999954 0 0 1 0.7071053 -0.7071084 0 0 -0.7071256 0.7070881 -2.32205e-5 -0.7071371 0.7070764 -4.40165e-5 -0.7071404 0.7070731 0.7071049 -0.7071087 -2.52866e-6 0 -0.7071335 -0.7070801 0.7071061 -0.7071074 0 0.7071048 -0.7071087 2.5292e-6 0.7071106 -0.7071029 -3.55809e-7 0.7071048 -0.7071087 2.52866e-6 -4.4038e-5 -0.7071404 -0.7070731 -0.7490261 -0.6471263 -0.1420831 -0.01216423 0.7029548 0.7111306 3.51526e-6 -0.7071455 -0.707068 -5.99554e-6 -0.7070916 -0.707122 -0.7008318 -0.7008292 0.1329411 -0.700182 -0.7001793 -0.1396215 0 -0.7071256 0.7070881 -0.01052653 -0.7106264 0.7034909 -0.7435983 -0.652019 0.1480978 1 0 0 0 -1 0 1 0 0 0.9238789 0 0.3826848 0 -1 0 0.9825983 0 -0.1857435 0 -1 0 0.9238789 0 -0.3826848 0 -1 0 0.8231897 0.04199075 -0.5662117 0.9801783 0.04295217 0.1934056 0 0 -1 0 -1 0 0 0 -1 0.3826794 0 -0.9238813 0 -1 0 0 -1 0 -0.9806923 0 -0.1955574 -0.8976598 0.08726185 -0.4319633 -0.9073513 0.1493591 -0.3929445 -0.968385 -0.08375382 -0.2349803 0 -0.7071048 -0.7071087 0.1933925 0.04295361 -0.9801808 -0.8482264 0 -0.5296338 0 0 -1 0 -1 0 0 1 0 0 0 -1 0 0 -1 -0.9980039 0.06315386 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.9176445 0 0.3974022 0 1 0 -0.7760431 0.4036784 0.4845625 -0.8826464 0.2013272 0.4247386 -0.9556322 0 0.2945627 -0.9790102 -0.05854201 0.195222 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 1 0 0 1 0 -1 0 0 0 1 0 0 1 0 -1 0 -0.7459343 -0.6491972 0.1487448 0.1857302 0 0.9826008 0 -1 0 0.3826794 0 0.9238812 0.5662127 0.041992 0.8231889 0.5475999 0 -0.8367403 0.8367407 0 0.5475994 0.7070818 -0.7071319 0 0.7070818 -0.7071319 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 -1 -1 0 0 -1 0 0 0 0 1 0 0 1 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 1 0 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 -1 0 0 -1 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0.7071042 -0.7071095 0 0.7071042 -0.7071095 0 0 -1 0 0 -1 0 0 0 -1 1 0 0 1 0 0 0 0.7071042 -0.7071094 0.7071068 0.7071068 0 0.7071068 0.7071068 0 -1 0 0 0 0.7071041 -0.7071094 -1 0 0 0 0.7071042 0.7071094 -1 0 0 0 0.7071041 0.7071094 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 -1 0 0 0 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.8660356 0 0.4999822 0.8660286 0 -0.4999945 0.8660286 0 -0.4999945 0 0 1 0.8660356 0 0.4999822 -0.8660359 0 0.4999819 0 0 1 -0.8660288 0 -0.4999941 -0.8660359 0 0.4999819 0 -1 0 0 0 -1 -0.8660288 0 -0.4999941 0 -1 0 0 0 -1 0.8660286 0 0.4999945 0 -1 0 0.8660356 0 -0.4999822 0 -1 0 0.8660356 0 -0.4999822 0 0 1 0.8660286 0 0.4999945 -0.8660288 0 0.4999941 0 0 1 -0.8660358 0 -0.4999819 -0.8660288 0 0.4999941 0 -1 0 0 0 -1 -0.8660358 0 -0.4999819 0 -1 0 0 0 -1 0.8660286 0 0.4999945 0 -1 0 0.8660286 0 -0.4999945 0 -1 0 0.8660286 0 -0.4999945 0 0 1 0.8660286 0 0.4999945 -0.8660288 0 0.4999941 0 0 1 -0.8660288 0 -0.4999941 -0.8660288 0 0.4999941 0 0 -1 -0.8660288 0 -0.4999941 0 0 -1 0.8660356 0 0.4999822 0.8660286 0 -0.4999946 0.8660286 0 -0.4999946 0 0 1 0.8660356 0 0.4999822 -0.8660359 0 0.4999819 0 0 1 -0.8660288 0 -0.4999943 -0.8660359 0 0.4999819 0 0 -1 -0.8660288 0 -0.4999943 0 0 -1 0 1 0 -0.3826457 0 -0.9238951 0 1 0 -0.9238941 0 -0.3826482 -0.3826457 0 -0.9238951 0 1 0 -1 0 0 0 1 0 -0.9238941 0 -0.3826482 0 1 0 -0.9238941 0 0.3826482 -1 0 0 0 1 0 -0.3826457 0 0.9238951 -0.9238941 0 0.3826482 -0.3826457 0 0.9238951 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0.2472198 -0.9689595 0 0 0 1 -0.9689658 -0.247195 0 0 0 1 -0.9689658 -0.247195 0 0 0 1 0.9689758 0.2471557 0 0 0 1 0.2472198 -0.9689595 0 0 0 1 -0.2472097 0.9689621 0 0 0 1 0.9689758 0.2471557 0 0 0 1 -0.2472097 0.9689621 0 -0.4897909 -0.124956 0.8628389 0.2018134 -0.7911623 0.5773504 0.1976966 -0.518121 0.8321458 -0.2018173 0.7911779 0.5773277 -0.7911973 -0.2018343 0.5772951 -0.9474226 -0.1800883 0.264497 0.4897909 0.124956 0.8628389 -0.1977013 0.5181229 0.8321435 0.7911378 0.2018371 0.5773758 0.9474229 0.1800884 0.2644962 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2471946 -0.9689659 0 -0.9689666 -0.2471914 0 -0.9689666 -0.2471914 0 0.9689666 0.2471914 0 0.2471946 -0.9689659 0 -0.2471946 0.9689659 0 0.9689666 0.2471914 0 -0.2471946 0.9689659 0 0 0 1 0 0 1 0 0 -1 0.2018071 -0.79108 -0.5774654 0 0 -1 -0.7910777 -0.2018076 -0.5774683 0 0 -1 0 0 -1 -0.7910574 -0.2017986 -0.5774996 0 0 -1 0.7909677 0.2017588 -0.5776361 0 0 -1 0.20179 -0.7910412 -0.5775246 0 0 -1 -0.2017947 0.7910519 -0.5775083 0 0 -1 0 0 -1 0.7911559 0.2018417 -0.5773494 0 0 -1 -0.201801 0.7910662 -0.5774865 0.5103626 0.8599593 0 -0.4895653 0.8719666 0 0.5103626 0.8599593 0 0.9999282 -0.01197564 0 0.9999282 -0.01197564 0 0.4895358 -0.8719832 0 0.4895358 -0.8719832 0 -0.5103932 -0.8599413 0 -0.5103932 -0.8599413 0 -0.9999282 0.01197534 0 -0.9999282 0.01197534 0 -0.4895653 0.8719666 0 -0.9689686 -0.2471837 0 -0.9689686 -0.2471837 0 0.2471786 -0.96897 0 -0.2471839 0.9689686 0 -0.2471839 0.9689686 0 0.9689633 0.2472044 0 0.9689633 0.2472044 0 -0.2372184 0.9299039 0.2810805 0.2471786 -0.96897 0 0.2372133 -0.9299048 0.2810817 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 -0.2472198 0.9689595 0 0 0 1 0.9689658 0.247195 0 0 0 1 0.9689658 0.247195 0 0 0 1 -0.9689758 -0.2471557 0 0 0 1 -0.2472198 0.9689595 0 0 0 1 0.2472097 -0.9689621 0 0 0 1 -0.9689758 -0.2471557 0 0 0 1 0.2472097 -0.9689621 0 0.4897909 0.124956 0.8628389 -0.2018134 0.7911623 0.5773504 -0.1976966 0.518121 0.8321458 0.2018173 -0.7911779 0.5773277 0.7911973 0.2018343 0.5772951 0.9474226 0.1800883 0.264497 -0.4897909 -0.124956 0.8628389 0.1977013 -0.5181229 0.8321435 -0.7911378 -0.2018371 0.5773758 -0.9474229 -0.1800884 0.2644962 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2471946 0.9689659 0 0.9689666 0.2471914 0 0.9689666 0.2471914 0 -0.9689666 -0.2471914 0 -0.2471946 0.9689659 0 0.2471946 -0.9689659 0 -0.9689666 -0.2471914 0 0.2471946 -0.9689659 0 0 0 1 0 0 1 0 0 -1 -0.2018071 0.79108 -0.5774654 0 0 -1 0.7910777 0.2018076 -0.5774683 0 0 -1 0 0 -1 0.7910574 0.2017986 -0.5774996 0 0 -1 -0.7909677 -0.2017588 -0.5776361 0 0 -1 -0.20179 0.7910412 -0.5775246 0 0 -1 0.2017947 -0.7910519 -0.5775083 0 0 -1 0 0 -1 -0.7911559 -0.2018417 -0.5773494 0 0 -1 0.201801 -0.7910662 -0.5774865 -0.5103626 -0.8599593 0 0.4895653 -0.8719666 0 -0.5103626 -0.8599593 0 -0.9999282 0.01197564 0 -0.9999282 0.01197564 0 -0.4895358 0.8719832 0 -0.4895358 0.8719832 0 0.5103932 0.8599413 0 0.5103932 0.8599413 0 0.9999282 -0.01197534 0 0.9999282 -0.01197534 0 0.4895653 -0.8719666 0 0.9689686 0.2471837 0 0.9689686 0.2471837 0 -0.2471786 0.96897 0 0.2471839 -0.9689686 0 0.2471839 -0.9689686 0 -0.9689633 -0.2472044 0 -0.9689633 -0.2472044 0 0.2372184 -0.9299039 0.2810805 -0.2471786 0.96897 0 -0.2372133 0.9299048 0.2810817 0 0 -1 0 0 -1 0 0 -1 0 0 -1</float_array>
+ <technique_common>
+ <accessor source="#shoulder_aa-mesh-normals-array" count="18916" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shoulder_aa-mesh-vertices">
+ <input semantic="POSITION" source="#shoulder_aa-mesh-positions"/>
+ </vertices>
+ <polylist material="aluminum-material" count="18916">
+ <input semantic="VERTEX" source="#shoulder_aa-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#shoulder_aa-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 4 2 2 2 5 2 6 3 5 3 2 3 0 4 2 4 4 4 6 5 2 5 3 5 7 6 8 6 1 6 9 7 1 7 8 7 0 8 7 8 1 8 9 9 3 9 1 9 10 10 5 10 8 10 11 11 8 11 5 11 7 12 10 12 8 12 9 13 8 13 11 13 10 14 4 14 5 14 11 15 5 15 6 15 12 16 4 16 10 16 13 17 0 17 4 17 13 18 4 18 12 18 14 19 10 19 7 19 14 20 12 20 10 20 15 21 7 21 0 21 14 22 7 22 15 22 15 23 0 23 13 23 14 24 6 24 3 24 12 25 3 25 9 25 14 26 3 26 12 26 15 27 11 27 6 27 14 28 15 28 6 28 13 29 9 29 11 29 15 30 13 30 11 30 13 31 12 31 9 31 16 32 17 32 18 32 19 33 18 33 17 33 20 34 18 34 21 34 22 35 21 35 18 35 16 36 18 36 20 36 22 37 18 37 19 37 23 38 24 38 17 38 25 39 17 39 24 39 16 40 23 40 17 40 25 41 19 41 17 41 26 42 21 42 24 42 27 43 24 43 21 43 23 44 26 44 24 44 25 45 24 45 27 45 26 46 20 46 21 46 27 47 21 47 22 47 28 48 20 48 26 48 29 49 16 49 20 49 29 50 20 50 28 50 30 51 26 51 23 51 30 52 28 52 26 52 31 53 23 53 16 53 30 54 23 54 31 54 31 55 16 55 29 55 30 56 22 56 19 56 28 57 19 57 25 57 30 58 19 58 28 58 31 59 27 59 22 59 30 60 31 60 22 60 29 61 25 61 27 61 31 62 29 62 27 62 29 63 28 63 25 63 32 64 33 64 34 64 35 65 34 65 33 65 36 66 34 66 37 66 38 67 37 67 34 67 32 68 34 68 36 68 38 69 34 69 35 69 39 70 40 70 33 70 41 71 33 71 40 71 32 72 39 72 33 72 41 73 35 73 33 73 42 74 37 74 40 74 43 75 40 75 37 75 39 76 42 76 40 76 41 77 40 77 43 77 42 78 36 78 37 78 43 79 37 79 38 79 44 80 36 80 42 80 45 81 32 81 36 81 45 82 36 82 44 82 46 83 42 83 39 83 46 84 44 84 42 84 47 85 39 85 32 85 46 86 39 86 47 86 47 87 32 87 45 87 46 88 38 88 35 88 44 89 35 89 41 89 46 90 35 90 44 90 47 91 43 91 38 91 46 92 47 92 38 92 45 93 41 93 43 93 47 94 45 94 43 94 45 95 44 95 41 95 48 96 49 96 50 96 51 97 50 97 49 97 52 98 50 98 53 98 54 99 53 99 50 99 48 100 50 100 52 100 54 101 50 101 51 101 55 102 56 102 49 102 57 103 49 103 56 103 48 104 55 104 49 104 57 105 51 105 49 105 58 106 53 106 56 106 59 107 56 107 53 107 55 108 58 108 56 108 57 109 56 109 59 109 58 110 52 110 53 110 59 111 53 111 54 111 60 112 52 112 58 112 61 113 48 113 52 113 61 114 52 114 60 114 62 115 58 115 55 115 62 116 60 116 58 116 63 117 55 117 48 117 62 118 55 118 63 118 63 119 48 119 61 119 62 120 54 120 51 120 60 121 51 121 57 121 62 122 51 122 60 122 63 123 59 123 54 123 62 124 63 124 54 124 61 125 57 125 59 125 63 126 61 126 59 126 61 127 60 127 57 127 64 128 65 128 66 128 67 129 66 129 65 129 68 130 64 130 66 130 69 131 68 131 66 131 69 132 66 132 67 132 70 133 65 133 64 133 67 134 65 134 70 134 71 135 64 135 68 135 70 136 64 136 71 136 69 137 71 137 68 137 72 138 73 138 74 138 75 139 74 139 73 139 76 140 72 140 74 140 77 141 76 141 74 141 77 142 74 142 75 142 78 143 73 143 72 143 75 144 73 144 78 144 79 145 72 145 76 145 78 146 72 146 79 146 77 147 79 147 76 147 70 148 78 148 79 148 67 149 70 149 79 149 77 150 67 150 79 150 71 151 75 151 78 151 70 152 71 152 78 152 69 153 75 153 71 153 69 154 77 154 75 154 69 155 67 155 77 155 80 156 81 156 82 156 83 157 82 157 81 157 84 158 80 158 82 158 85 159 84 159 82 159 85 160 82 160 83 160 86 161 81 161 80 161 83 162 81 162 86 162 87 163 80 163 84 163 86 164 80 164 87 164 85 165 87 165 84 165 88 166 89 166 90 166 91 167 90 167 89 167 92 168 88 168 90 168 93 169 92 169 90 169 93 170 90 170 91 170 94 171 89 171 88 171 91 172 89 172 94 172 95 173 88 173 92 173 94 174 88 174 95 174 93 175 95 175 92 175 86 176 94 176 95 176 83 177 86 177 95 177 93 178 83 178 95 178 87 179 91 179 94 179 86 180 87 180 94 180 85 181 91 181 87 181 85 182 93 182 91 182 85 183 83 183 93 183 96 184 97 184 98 184 99 185 98 185 97 185 100 186 96 186 98 186 101 187 100 187 98 187 101 188 98 188 99 188 102 189 97 189 96 189 99 190 97 190 102 190 103 191 96 191 100 191 102 192 96 192 103 192 101 193 103 193 100 193 104 194 105 194 106 194 107 195 106 195 105 195 108 196 104 196 106 196 109 197 108 197 106 197 109 198 106 198 107 198 110 199 105 199 104 199 107 200 105 200 110 200 111 201 104 201 108 201 110 202 104 202 111 202 109 203 111 203 108 203 102 204 110 204 111 204 99 205 102 205 111 205 109 206 99 206 111 206 103 207 107 207 110 207 102 208 103 208 110 208 101 209 107 209 103 209 101 210 109 210 107 210 101 211 99 211 109 211 112 212 113 212 114 212 115 213 114 213 113 213 116 214 112 214 114 214 117 215 116 215 114 215 117 216 114 216 115 216 118 217 113 217 112 217 115 218 113 218 118 218 119 219 112 219 116 219 118 220 112 220 119 220 117 221 119 221 116 221 120 222 121 222 122 222 123 223 122 223 121 223 124 224 120 224 122 224 125 225 124 225 122 225 125 226 122 226 123 226 126 227 121 227 120 227 123 228 121 228 126 228 127 229 120 229 124 229 126 230 120 230 127 230 125 231 127 231 124 231 118 232 126 232 127 232 115 233 118 233 127 233 125 234 115 234 127 234 119 235 123 235 126 235 118 236 119 236 126 236 117 237 123 237 119 237 117 238 125 238 123 238 117 239 115 239 125 239 128 240 129 240 130 240 131 241 130 241 129 241 132 242 130 242 133 242 134 243 133 243 130 243 135 244 130 244 132 244 136 245 130 245 135 245 136 246 128 246 130 246 137 247 130 247 131 247 134 248 130 248 137 248 138 249 139 249 129 249 131 250 129 250 139 250 140 251 141 251 129 251 138 252 129 252 141 252 142 253 140 253 129 253 143 254 142 254 129 254 128 255 144 255 129 255 143 256 129 256 144 256 145 257 146 257 139 257 147 258 139 258 146 258 148 259 139 259 138 259 149 260 145 260 139 260 150 261 149 261 139 261 151 262 150 262 139 262 148 263 151 263 139 263 147 264 131 264 139 264 152 265 153 265 146 265 154 266 146 266 153 266 155 267 152 267 146 267 156 268 155 268 146 268 145 269 156 269 146 269 147 270 146 270 154 270 157 271 158 271 153 271 159 272 153 272 158 272 160 273 153 273 152 273 161 274 153 274 160 274 161 275 157 275 153 275 154 276 153 276 162 276 159 277 162 277 153 277 163 278 164 278 158 278 159 279 158 279 164 279 165 280 166 280 158 280 163 281 158 281 166 281 167 282 165 282 158 282 168 283 167 283 158 283 169 284 168 284 158 284 157 285 169 285 158 285 170 286 133 286 164 286 171 287 164 287 133 287 172 288 164 288 163 288 173 289 174 289 164 289 170 290 164 290 174 290 175 291 173 291 164 291 172 292 175 292 164 292 159 293 164 293 171 293 176 294 132 294 133 294 177 295 176 295 133 295 170 296 177 296 133 296 171 297 133 297 134 297 178 298 141 298 140 298 179 299 138 299 141 299 179 300 141 300 178 300 180 301 140 301 142 301 180 302 178 302 140 302 181 303 182 303 142 303 183 304 142 304 182 304 143 305 184 305 142 305 181 306 142 306 184 306 180 307 142 307 183 307 148 308 185 308 182 308 186 309 182 309 185 309 181 310 148 310 182 310 183 311 182 311 186 311 148 312 138 312 185 312 187 313 185 313 138 313 186 314 185 314 187 314 187 315 138 315 179 315 188 316 166 316 165 316 189 317 163 317 166 317 189 318 166 318 188 318 190 319 165 319 167 319 190 320 188 320 165 320 191 321 192 321 167 321 193 322 167 322 192 322 168 323 194 323 167 323 191 324 167 324 194 324 190 325 167 325 193 325 172 326 195 326 192 326 196 327 192 327 195 327 191 328 172 328 192 328 193 329 192 329 196 329 172 330 163 330 195 330 197 331 195 331 163 331 196 332 195 332 197 332 197 333 163 333 189 333 198 334 152 334 155 334 199 335 160 335 152 335 198 336 199 336 152 336 200 337 155 337 156 337 200 338 198 338 155 338 145 339 201 339 156 339 202 340 156 340 201 340 200 341 156 341 202 341 161 342 203 342 201 342 204 343 201 343 203 343 145 344 205 344 201 344 161 345 201 345 205 345 202 346 201 346 204 346 161 347 160 347 203 347 206 348 203 348 160 348 206 349 204 349 203 349 199 350 206 350 160 350 207 351 132 351 176 351 208 352 135 352 132 352 207 353 208 353 132 353 209 354 176 354 177 354 209 355 207 355 176 355 170 356 210 356 177 356 211 357 177 357 210 357 209 358 177 358 211 358 136 359 212 359 210 359 213 360 210 360 212 360 170 361 214 361 210 361 136 362 210 362 214 362 211 363 210 363 213 363 136 364 135 364 212 364 215 365 212 365 135 365 215 366 213 366 212 366 208 367 215 367 135 367 216 368 217 368 218 368 219 369 218 369 217 369 216 370 218 370 220 370 221 371 220 371 218 371 221 372 218 372 219 372 216 373 222 373 217 373 223 374 217 374 222 374 223 375 219 375 217 375 224 376 225 376 222 376 226 377 222 377 225 377 191 378 224 378 222 378 227 379 191 379 222 379 216 380 227 380 222 380 223 381 222 381 226 381 224 382 228 382 225 382 229 383 225 383 228 383 226 384 225 384 229 384 224 385 220 385 228 385 230 386 228 386 220 386 229 387 228 387 230 387 224 388 231 388 220 388 232 389 220 389 231 389 216 390 220 390 232 390 230 391 220 391 221 391 232 392 231 392 233 392 234 393 233 393 231 393 235 394 233 394 168 394 236 395 168 395 233 395 235 396 232 396 233 396 236 397 233 397 234 397 237 398 231 398 224 398 237 399 234 399 231 399 191 400 238 400 224 400 239 401 224 401 238 401 237 402 224 402 239 402 191 403 194 403 238 403 240 404 238 404 194 404 239 405 238 405 240 405 241 406 194 406 168 406 240 407 194 407 241 407 169 408 235 408 168 408 241 409 168 409 236 409 242 410 174 410 173 410 243 411 170 411 174 411 243 412 174 412 242 412 244 413 173 413 175 413 244 414 242 414 173 414 172 415 245 415 175 415 246 416 175 416 245 416 244 417 175 417 246 417 136 418 214 418 245 418 247 419 245 419 214 419 136 420 245 420 172 420 246 421 245 421 247 421 248 422 214 422 170 422 247 423 214 423 248 423 248 424 170 424 243 424 143 425 144 425 249 425 250 426 249 426 144 426 251 427 249 427 252 427 253 428 252 428 249 428 251 429 143 429 249 429 253 430 249 430 250 430 254 431 144 431 128 431 254 432 250 432 144 432 136 433 255 433 128 433 256 434 128 434 255 434 254 435 128 435 256 435 257 436 258 436 255 436 259 437 255 437 258 437 136 438 257 438 255 438 256 439 255 439 259 439 257 440 252 440 258 440 260 441 258 441 252 441 259 442 258 442 260 442 261 443 252 443 262 443 257 444 262 444 252 444 261 445 251 445 252 445 260 446 252 446 253 446 263 447 264 447 265 447 266 448 265 448 264 448 263 449 265 449 267 449 268 450 267 450 265 450 268 451 265 451 266 451 263 452 262 452 264 452 269 453 264 453 262 453 269 454 266 454 264 454 257 455 270 455 262 455 271 456 262 456 270 456 263 457 261 457 262 457 269 458 262 458 271 458 257 459 272 459 270 459 273 460 270 460 272 460 271 461 270 461 273 461 257 462 267 462 272 462 274 463 272 463 267 463 273 464 272 464 274 464 181 465 263 465 267 465 275 466 181 466 267 466 257 467 275 467 267 467 274 468 267 468 268 468 181 469 184 469 276 469 277 470 276 470 184 470 181 471 276 471 263 471 278 472 263 472 276 472 278 473 276 473 277 473 279 474 184 474 143 474 279 475 277 475 184 475 280 476 143 476 251 476 279 477 143 477 280 477 281 478 251 478 261 478 280 479 251 479 281 479 282 480 261 480 263 480 281 481 261 481 282 481 282 482 263 482 278 482 161 483 205 483 283 483 284 484 283 484 205 484 148 485 283 485 151 485 285 486 151 486 283 486 148 487 161 487 283 487 285 488 283 488 284 488 286 489 205 489 145 489 286 490 284 490 205 490 287 491 145 491 149 491 286 492 145 492 287 492 288 493 149 493 150 493 287 494 149 494 288 494 289 495 150 495 151 495 288 496 150 496 289 496 289 497 151 497 285 497 216 498 290 498 291 498 292 499 291 499 290 499 161 500 291 500 157 500 293 501 157 501 291 501 161 502 216 502 291 502 293 503 291 503 292 503 216 504 232 504 290 504 294 505 290 505 232 505 294 506 292 506 290 506 295 507 232 507 235 507 294 508 232 508 295 508 296 509 235 509 169 509 295 510 235 510 296 510 297 511 169 511 157 511 296 512 169 512 297 512 297 513 157 513 293 513 298 514 172 514 191 514 299 515 136 515 172 515 299 516 172 516 298 516 300 517 191 517 227 517 298 518 191 518 300 518 216 519 301 519 227 519 302 520 227 520 301 520 300 521 227 521 302 521 303 522 301 522 216 522 302 523 301 523 303 523 304 524 216 524 161 524 303 525 216 525 304 525 305 526 161 526 148 526 304 527 161 527 305 527 306 528 148 528 181 528 305 529 148 529 306 529 307 530 181 530 275 530 307 531 306 531 181 531 257 532 308 532 275 532 309 533 275 533 308 533 307 534 275 534 309 534 310 535 308 535 257 535 309 536 308 536 310 536 311 537 257 537 136 537 310 538 257 538 311 538 311 539 136 539 299 539 147 540 312 540 131 540 313 541 131 541 312 541 314 542 137 542 131 542 314 543 131 543 313 543 315 544 316 544 312 544 317 545 312 545 316 545 318 546 312 546 147 546 315 547 312 547 318 547 313 548 312 548 317 548 186 549 319 549 316 549 320 550 316 550 319 550 180 551 316 551 178 551 315 552 178 552 316 552 183 553 186 553 316 553 180 554 183 554 316 554 320 555 317 555 316 555 321 556 322 556 319 556 323 557 319 557 322 557 186 558 321 558 319 558 323 559 320 559 319 559 324 560 322 560 321 560 324 561 323 561 322 561 325 562 326 562 321 562 327 563 321 563 326 563 328 564 321 564 186 564 329 565 325 565 321 565 328 566 329 566 321 566 327 567 324 567 321 567 325 568 330 568 326 568 331 569 326 569 330 569 332 570 333 570 326 570 334 571 326 571 333 571 331 572 332 572 326 572 334 573 327 573 326 573 318 574 162 574 330 574 335 575 330 575 162 575 325 576 318 576 330 576 331 577 330 577 335 577 318 578 154 578 162 578 336 579 162 579 159 579 335 580 162 580 336 580 318 581 147 581 154 581 315 582 179 582 178 582 337 583 187 583 179 583 315 584 337 584 179 584 337 585 186 585 187 585 337 586 328 586 186 586 338 587 318 587 325 587 339 588 315 588 318 588 339 589 318 589 338 589 340 590 325 590 329 590 340 591 338 591 325 591 341 592 329 592 328 592 340 593 329 593 341 593 342 594 328 594 337 594 341 595 328 595 342 595 343 596 337 596 315 596 342 597 337 597 343 597 343 598 315 598 339 598 344 599 189 599 188 599 345 600 188 600 190 600 345 601 344 601 188 601 346 602 197 602 189 602 344 603 346 603 189 603 346 604 196 604 197 604 345 605 193 605 196 605 346 606 347 606 196 606 348 607 196 607 347 607 349 608 196 608 348 608 349 609 345 609 196 609 345 610 190 610 193 610 350 611 351 611 352 611 353 612 352 612 351 612 354 613 352 613 344 613 355 614 344 614 352 614 137 615 350 615 352 615 134 616 137 616 352 616 171 617 134 617 352 617 354 618 171 618 352 618 355 619 352 619 353 619 356 620 357 620 351 620 358 621 351 621 357 621 359 622 356 622 351 622 350 623 359 623 351 623 358 624 353 624 351 624 360 625 347 625 357 625 361 626 357 626 347 626 356 627 360 627 357 627 358 628 357 628 361 628 362 629 347 629 346 629 363 630 348 630 347 630 360 631 363 631 347 631 361 632 347 632 362 632 364 633 346 633 344 633 362 634 346 634 364 634 345 635 354 635 344 635 364 636 344 636 355 636 365 637 366 637 367 637 368 638 367 638 366 638 369 639 365 639 367 639 370 640 369 640 367 640 370 641 367 641 368 641 371 642 372 642 366 642 373 643 366 643 372 643 365 644 371 644 366 644 368 645 366 645 373 645 374 646 375 646 372 646 376 647 372 647 375 647 371 648 374 648 372 648 373 649 372 649 376 649 349 650 348 650 375 650 377 651 375 651 348 651 378 652 349 652 375 652 374 653 378 653 375 653 379 654 375 654 377 654 376 655 375 655 379 655 377 656 348 656 363 656 380 657 363 657 360 657 377 658 363 658 380 658 381 659 360 659 356 659 380 660 360 660 381 660 381 661 356 661 359 661 382 662 359 662 350 662 383 663 384 663 359 663 385 664 359 664 384 664 386 665 383 665 359 665 382 666 386 666 359 666 385 667 381 667 359 667 387 668 350 668 137 668 382 669 350 669 387 669 387 670 137 670 314 670 354 671 159 671 171 671 388 672 159 672 354 672 336 673 159 673 388 673 389 674 354 674 345 674 388 675 354 675 389 675 390 676 345 676 349 676 390 677 391 677 345 677 389 678 345 678 391 678 390 679 349 679 378 679 392 680 378 680 374 680 392 681 390 681 378 681 393 682 374 682 371 682 393 683 392 683 374 683 394 684 371 684 365 684 393 685 371 685 394 685 395 686 365 686 369 686 394 687 365 687 395 687 370 688 395 688 369 688 334 689 333 689 396 689 397 690 396 690 333 690 398 691 334 691 396 691 398 692 396 692 399 692 397 693 399 693 396 693 331 694 333 694 332 694 335 695 397 695 333 695 331 696 335 696 333 696 320 697 400 697 317 697 313 698 317 698 400 698 401 699 402 699 400 699 403 700 400 700 402 700 320 701 401 701 400 701 313 702 400 702 403 702 401 703 404 703 402 703 405 704 402 704 404 704 405 705 403 705 402 705 401 706 406 706 404 706 405 707 404 707 406 707 407 708 406 708 401 708 405 709 406 709 407 709 408 710 409 710 401 710 410 711 401 711 409 711 320 712 408 712 401 712 411 713 407 713 401 713 412 714 411 714 401 714 410 715 412 715 401 715 385 716 413 716 409 716 414 717 409 717 413 717 408 718 385 718 409 718 414 719 415 719 409 719 416 720 409 720 415 720 417 721 409 721 416 721 417 722 418 722 409 722 419 723 409 723 418 723 420 724 409 724 419 724 420 725 410 725 409 725 385 726 421 726 413 726 422 727 413 727 421 727 423 728 413 728 424 728 422 729 424 729 413 729 423 730 425 730 413 730 426 731 413 731 425 731 427 732 413 732 426 732 427 733 428 733 413 733 429 734 413 734 428 734 430 735 413 735 429 735 430 736 414 736 413 736 384 737 421 737 431 737 385 738 431 738 421 738 432 739 421 739 384 739 422 740 421 740 432 740 385 741 384 741 431 741 432 742 384 742 383 742 382 743 383 743 386 743 387 744 432 744 383 744 382 745 387 745 383 745 299 746 381 746 385 746 299 747 298 747 381 747 380 748 381 748 298 748 310 749 385 749 408 749 311 750 299 750 385 750 310 751 311 751 385 751 309 752 408 752 320 752 309 753 310 753 408 753 307 754 320 754 323 754 307 755 309 755 320 755 306 756 323 756 324 756 307 757 323 757 306 757 306 758 324 758 327 758 305 759 327 759 334 759 305 760 306 760 327 760 433 761 434 761 334 761 304 762 334 762 434 762 399 763 433 763 334 763 398 764 399 764 334 764 304 765 305 765 334 765 435 766 391 766 434 766 303 767 434 767 391 767 436 768 435 768 434 768 433 769 436 769 434 769 303 770 304 770 434 770 302 771 391 771 390 771 437 772 389 772 391 772 438 773 437 773 391 773 435 774 438 774 391 774 302 775 303 775 391 775 298 776 390 776 392 776 300 777 302 777 390 777 298 778 300 778 390 778 377 779 298 779 392 779 379 780 392 780 393 780 379 781 377 781 392 781 388 782 389 782 437 782 388 783 437 783 438 783 435 784 439 784 438 784 440 785 438 785 439 785 388 786 438 786 441 786 440 787 441 787 438 787 435 788 442 788 439 788 440 789 439 789 442 789 443 790 442 790 435 790 440 791 442 791 443 791 444 792 435 792 436 792 444 793 445 793 435 793 443 794 435 794 445 794 446 795 436 795 433 795 447 796 444 796 436 796 448 797 447 797 436 797 449 798 448 798 436 798 450 799 449 799 436 799 451 800 450 800 436 800 452 801 451 801 436 801 446 802 452 802 436 802 453 803 433 803 399 803 454 804 446 804 433 804 455 805 454 805 433 805 456 806 455 806 433 806 457 807 456 807 433 807 458 808 457 808 433 808 459 809 458 809 433 809 460 810 459 810 433 810 461 811 460 811 433 811 453 812 461 812 433 812 453 813 399 813 397 813 335 814 462 814 397 814 453 815 397 815 462 815 335 816 463 816 462 816 464 817 462 817 463 817 464 818 453 818 462 818 336 819 465 819 463 819 466 820 463 820 465 820 335 821 336 821 463 821 464 822 463 822 466 822 336 823 467 823 465 823 468 824 465 824 467 824 466 825 465 825 468 825 388 826 441 826 467 826 469 827 467 827 441 827 336 828 388 828 467 828 469 829 468 829 467 829 469 830 441 830 440 830 470 831 445 831 444 831 471 832 445 832 472 832 473 833 472 833 445 833 474 834 445 834 471 834 474 835 443 835 445 835 473 836 445 836 470 836 475 837 444 837 447 837 470 838 444 838 475 838 476 839 447 839 448 839 475 840 447 840 476 840 471 841 477 841 448 841 478 842 448 842 477 842 449 843 479 843 448 843 471 844 448 844 479 844 476 845 448 845 478 845 471 846 472 846 477 846 480 847 477 847 472 847 480 848 478 848 477 848 480 849 472 849 473 849 481 850 479 850 449 850 471 851 479 851 482 851 483 852 482 852 479 852 483 853 479 853 481 853 484 854 449 854 450 854 481 855 449 855 484 855 485 856 450 856 451 856 484 857 450 857 485 857 452 858 486 858 451 858 487 859 451 859 486 859 485 860 451 860 487 860 471 861 482 861 486 861 488 862 486 862 482 862 471 863 486 863 452 863 488 864 487 864 486 864 488 865 482 865 483 865 489 866 452 866 446 866 471 867 452 867 490 867 491 868 490 868 452 868 491 869 452 869 489 869 492 870 446 870 454 870 489 871 446 871 492 871 493 872 454 872 455 872 492 873 454 873 493 873 494 874 495 874 455 874 496 875 455 875 495 875 456 876 494 876 455 876 493 877 455 877 496 877 471 878 490 878 495 878 497 879 495 879 490 879 471 880 495 880 494 880 497 881 496 881 495 881 497 882 490 882 491 882 498 883 494 883 456 883 471 884 494 884 499 884 500 885 499 885 494 885 500 886 494 886 498 886 501 887 456 887 457 887 498 888 456 888 501 888 502 889 457 889 458 889 501 890 457 890 502 890 459 891 503 891 458 891 504 892 458 892 503 892 502 893 458 893 504 893 471 894 499 894 503 894 505 895 503 895 499 895 459 896 471 896 503 896 505 897 504 897 503 897 505 898 499 898 500 898 468 899 471 899 459 899 469 900 474 900 471 900 469 901 471 901 468 901 466 902 459 902 460 902 466 903 468 903 459 903 464 904 460 904 461 904 464 905 466 905 460 905 464 906 461 906 453 906 440 907 443 907 474 907 469 908 440 908 474 908 476 909 478 909 506 909 480 910 506 910 478 910 475 911 476 911 506 911 470 912 475 912 506 912 473 913 470 913 506 913 480 914 473 914 506 914 485 915 487 915 507 915 488 916 507 916 487 916 484 917 485 917 507 917 481 918 484 918 507 918 483 919 481 919 507 919 488 920 483 920 507 920 493 921 496 921 508 921 497 922 508 922 496 922 492 923 493 923 508 923 489 924 492 924 508 924 491 925 489 925 508 925 497 926 491 926 508 926 502 927 504 927 509 927 505 928 509 928 504 928 501 929 502 929 509 929 498 930 501 930 509 930 500 931 498 931 509 931 505 932 500 932 509 932 387 933 510 933 432 933 422 934 432 934 510 934 387 935 511 935 510 935 512 936 510 936 511 936 512 937 422 937 510 937 314 938 513 938 511 938 514 939 511 939 513 939 387 940 314 940 511 940 512 941 511 941 514 941 314 942 515 942 513 942 516 943 513 943 515 943 514 944 513 944 516 944 313 945 403 945 515 945 517 946 515 946 403 946 314 947 313 947 515 947 517 948 516 948 515 948 517 949 403 949 405 949 512 950 423 950 424 950 512 951 424 951 422 951 405 952 407 952 411 952 412 953 518 953 411 953 517 954 411 954 518 954 517 955 405 955 411 955 519 956 425 956 518 956 516 957 518 957 425 957 520 958 519 958 518 958 521 959 520 959 518 959 522 960 521 960 518 960 523 961 522 961 518 961 415 962 523 962 518 962 524 963 415 963 518 963 525 964 524 964 518 964 526 965 525 965 518 965 419 966 526 966 518 966 527 967 419 967 518 967 528 968 527 968 518 968 412 969 528 969 518 969 517 970 518 970 516 970 514 971 425 971 423 971 519 972 426 972 425 972 514 973 516 973 425 973 512 974 514 974 423 974 529 975 426 975 519 975 530 976 427 976 426 976 530 977 426 977 529 977 531 978 519 978 520 978 529 979 519 979 531 979 532 980 520 980 521 980 531 981 520 981 532 981 429 982 428 982 521 982 533 983 521 983 428 983 522 984 429 984 521 984 532 985 521 985 533 985 534 986 428 986 427 986 534 987 533 987 428 987 534 988 427 988 530 988 535 989 429 989 522 989 536 990 430 990 429 990 536 991 429 991 535 991 537 992 522 992 523 992 535 993 522 993 537 993 538 994 523 994 415 994 537 995 523 995 538 995 539 996 415 996 414 996 524 997 416 997 415 997 538 998 415 998 539 998 540 999 414 999 430 999 540 1000 539 1000 414 1000 540 1001 430 1001 536 1001 541 1002 416 1002 524 1002 542 1003 417 1003 416 1003 542 1004 416 1004 541 1004 543 1005 524 1005 525 1005 541 1006 524 1006 543 1006 544 1007 525 1007 526 1007 543 1008 525 1008 544 1008 419 1009 418 1009 526 1009 545 1010 526 1010 418 1010 544 1011 526 1011 545 1011 546 1012 418 1012 417 1012 546 1013 545 1013 418 1013 546 1014 417 1014 542 1014 547 1015 419 1015 527 1015 548 1016 420 1016 419 1016 548 1017 419 1017 547 1017 549 1018 527 1018 528 1018 547 1019 527 1019 549 1019 550 1020 528 1020 412 1020 549 1021 528 1021 550 1021 551 1022 412 1022 410 1022 550 1023 412 1023 551 1023 552 1024 410 1024 420 1024 552 1025 551 1025 410 1025 552 1026 420 1026 548 1026 342 1027 204 1027 206 1027 342 1028 343 1028 204 1028 202 1029 204 1029 343 1029 340 1030 206 1030 199 1030 341 1031 342 1031 206 1031 340 1032 341 1032 206 1032 340 1033 199 1033 198 1033 340 1034 198 1034 338 1034 200 1035 338 1035 198 1035 200 1036 339 1036 338 1036 200 1037 343 1037 339 1037 200 1038 202 1038 343 1038 362 1039 213 1039 215 1039 362 1040 364 1040 213 1040 211 1041 213 1041 364 1041 358 1042 215 1042 208 1042 361 1043 362 1043 215 1043 358 1044 361 1044 215 1044 358 1045 208 1045 207 1045 358 1046 207 1046 353 1046 209 1047 353 1047 207 1047 209 1048 355 1048 353 1048 209 1049 364 1049 355 1049 209 1050 211 1050 364 1050 230 1051 221 1051 219 1051 229 1052 230 1052 219 1052 223 1053 229 1053 219 1053 223 1054 226 1054 229 1054 241 1055 236 1055 234 1055 240 1056 241 1056 234 1056 237 1057 240 1057 234 1057 237 1058 239 1058 240 1058 248 1059 243 1059 242 1059 247 1060 248 1060 242 1060 244 1061 247 1061 242 1061 244 1062 246 1062 247 1062 260 1063 253 1063 250 1063 259 1064 260 1064 250 1064 254 1065 259 1065 250 1065 254 1066 256 1066 259 1066 274 1067 268 1067 266 1067 273 1068 274 1068 266 1068 269 1069 273 1069 266 1069 269 1070 271 1070 273 1070 282 1071 278 1071 277 1071 281 1072 282 1072 277 1072 279 1073 281 1073 277 1073 279 1074 280 1074 281 1074 289 1075 285 1075 284 1075 288 1076 289 1076 284 1076 286 1077 288 1077 284 1077 286 1078 287 1078 288 1078 297 1079 293 1079 292 1079 296 1080 297 1080 292 1080 294 1081 296 1081 292 1081 294 1082 295 1082 296 1082 377 1083 380 1083 298 1083 376 1084 394 1084 395 1084 373 1085 376 1085 395 1085 370 1086 373 1086 395 1086 379 1087 393 1087 394 1087 376 1088 379 1088 394 1088 370 1089 368 1089 373 1089 532 1090 533 1090 553 1090 534 1091 553 1091 533 1091 531 1092 532 1092 553 1092 529 1093 531 1093 553 1093 530 1094 529 1094 553 1094 534 1095 530 1095 553 1095 538 1096 539 1096 554 1096 540 1097 554 1097 539 1097 537 1098 538 1098 554 1098 535 1099 537 1099 554 1099 536 1100 535 1100 554 1100 540 1101 536 1101 554 1101 544 1102 545 1102 555 1102 546 1103 555 1103 545 1103 543 1104 544 1104 555 1104 541 1105 543 1105 555 1105 542 1106 541 1106 555 1106 546 1107 542 1107 555 1107 550 1108 551 1108 556 1108 552 1109 556 1109 551 1109 549 1110 550 1110 556 1110 547 1111 549 1111 556 1111 548 1112 547 1112 556 1112 552 1113 548 1113 556 1113 557 1114 558 1114 559 1114 560 1115 559 1115 558 1115 561 1116 557 1116 559 1116 561 1117 559 1117 560 1117 562 1118 563 1118 558 1118 564 1119 558 1119 563 1119 565 1120 558 1120 557 1120 566 1121 562 1121 558 1121 567 1122 566 1122 558 1122 565 1123 567 1123 558 1123 564 1124 560 1124 558 1124 568 1125 569 1125 563 1125 570 1126 563 1126 569 1126 571 1127 568 1127 563 1127 562 1128 571 1128 563 1128 570 1129 564 1129 563 1129 572 1130 569 1130 568 1130 570 1131 569 1131 572 1131 573 1132 557 1132 568 1132 574 1133 568 1133 557 1133 575 1134 568 1134 571 1134 576 1135 573 1135 568 1135 575 1136 576 1136 568 1136 574 1137 572 1137 568 1137 573 1138 565 1138 557 1138 561 1139 574 1139 557 1139 577 1140 571 1140 562 1140 578 1141 575 1141 571 1141 578 1142 571 1142 577 1142 579 1143 562 1143 566 1143 579 1144 577 1144 562 1144 580 1145 566 1145 567 1145 580 1146 579 1146 566 1146 581 1147 567 1147 565 1147 581 1148 580 1148 567 1148 582 1149 565 1149 573 1149 581 1150 565 1150 582 1150 583 1151 573 1151 576 1151 583 1152 582 1152 573 1152 584 1153 576 1153 575 1153 584 1154 583 1154 576 1154 578 1155 584 1155 575 1155 585 1156 586 1156 587 1156 588 1157 587 1157 586 1157 589 1158 587 1158 590 1158 591 1159 590 1159 587 1159 589 1160 585 1160 587 1160 591 1161 587 1161 588 1161 585 1162 592 1162 586 1162 593 1163 586 1163 592 1163 593 1164 588 1164 586 1164 585 1165 594 1165 592 1165 595 1166 592 1166 594 1166 595 1167 593 1167 592 1167 585 1168 596 1168 594 1168 597 1169 594 1169 596 1169 597 1170 595 1170 594 1170 598 1171 599 1171 596 1171 600 1172 596 1172 599 1172 585 1173 598 1173 596 1173 597 1174 596 1174 600 1174 601 1175 602 1175 599 1175 603 1176 599 1176 602 1176 604 1177 599 1177 598 1177 605 1178 606 1178 599 1178 601 1179 599 1179 606 1179 604 1180 605 1180 599 1180 603 1181 600 1181 599 1181 589 1182 590 1182 602 1182 607 1183 602 1183 590 1183 601 1184 589 1184 602 1184 607 1185 603 1185 602 1185 591 1186 607 1186 590 1186 608 1187 609 1187 610 1187 611 1188 610 1188 609 1188 612 1189 608 1189 610 1189 613 1190 614 1190 610 1190 615 1191 610 1191 614 1191 616 1192 613 1192 610 1192 617 1193 612 1193 610 1193 618 1194 617 1194 610 1194 615 1195 618 1195 610 1195 616 1196 610 1196 611 1196 619 1197 609 1197 608 1197 619 1198 611 1198 609 1198 620 1199 621 1199 608 1199 622 1200 608 1200 621 1200 612 1201 620 1201 608 1201 622 1202 619 1202 608 1202 623 1203 614 1203 621 1203 624 1204 621 1204 614 1204 625 1205 621 1205 620 1205 626 1206 623 1206 621 1206 625 1207 626 1207 621 1207 622 1208 621 1208 624 1208 627 1209 614 1209 613 1209 623 1210 615 1210 614 1210 624 1211 614 1211 627 1211 627 1212 613 1212 616 1212 628 1213 620 1213 612 1213 629 1214 625 1214 620 1214 629 1215 620 1215 628 1215 630 1216 612 1216 617 1216 630 1217 628 1217 612 1217 631 1218 617 1218 618 1218 631 1219 630 1219 617 1219 632 1220 618 1220 615 1220 632 1221 631 1221 618 1221 633 1222 615 1222 623 1222 632 1223 615 1223 633 1223 634 1224 623 1224 626 1224 634 1225 633 1225 623 1225 635 1226 626 1226 625 1226 635 1227 634 1227 626 1227 629 1228 635 1228 625 1228 636 1229 637 1229 638 1229 639 1230 638 1230 637 1230 640 1231 636 1231 638 1231 641 1232 638 1232 642 1232 643 1233 642 1233 638 1233 644 1234 640 1234 638 1234 641 1235 644 1235 638 1235 645 1236 638 1236 639 1236 643 1237 638 1237 645 1237 639 1238 637 1238 636 1238 646 1239 647 1239 636 1239 648 1240 636 1240 647 1240 649 1241 646 1241 636 1241 650 1242 636 1242 640 1242 651 1243 649 1243 636 1243 650 1244 651 1244 636 1244 639 1245 636 1245 648 1245 652 1246 647 1246 646 1246 653 1247 648 1247 647 1247 652 1248 653 1248 647 1248 649 1249 642 1249 646 1249 652 1250 646 1250 642 1250 654 1251 641 1251 642 1251 655 1252 654 1252 642 1252 649 1253 655 1253 642 1253 652 1254 642 1254 643 1254 656 1255 640 1255 644 1255 657 1256 650 1256 640 1256 657 1257 640 1257 656 1257 658 1258 644 1258 641 1258 658 1259 656 1259 644 1259 659 1260 641 1260 654 1260 659 1261 658 1261 641 1261 660 1262 654 1262 655 1262 660 1263 659 1263 654 1263 661 1264 655 1264 649 1264 660 1265 655 1265 661 1265 662 1266 649 1266 651 1266 662 1267 661 1267 649 1267 663 1268 651 1268 650 1268 663 1269 662 1269 651 1269 657 1270 663 1270 650 1270 664 1271 665 1271 666 1271 667 1272 666 1272 665 1272 664 1273 666 1273 668 1273 669 1274 668 1274 666 1274 669 1275 666 1275 667 1275 670 1276 671 1276 665 1276 672 1277 665 1277 671 1277 664 1278 670 1278 665 1278 672 1279 667 1279 665 1279 673 1280 674 1280 671 1280 675 1281 671 1281 674 1281 676 1282 673 1282 671 1282 670 1283 676 1283 671 1283 675 1284 672 1284 671 1284 673 1285 677 1285 674 1285 678 1286 674 1286 677 1286 678 1287 675 1287 674 1287 679 1288 680 1288 677 1288 681 1289 677 1289 680 1289 682 1290 679 1290 677 1290 673 1291 682 1291 677 1291 678 1292 677 1292 681 1292 679 1293 683 1293 680 1293 684 1294 680 1294 683 1294 684 1295 681 1295 680 1295 664 1296 668 1296 683 1296 685 1297 683 1297 668 1297 686 1298 683 1298 679 1298 664 1299 683 1299 686 1299 685 1300 684 1300 683 1300 669 1301 685 1301 668 1301 687 1302 688 1302 598 1302 689 1303 598 1303 688 1303 690 1304 604 1304 598 1304 687 1305 598 1305 585 1305 690 1306 598 1306 689 1306 691 1307 692 1307 688 1307 693 1308 688 1308 692 1308 687 1309 691 1309 688 1309 693 1310 689 1310 688 1310 694 1311 695 1311 692 1311 696 1312 692 1312 695 1312 691 1313 694 1313 692 1313 696 1314 693 1314 692 1314 697 1315 698 1315 695 1315 699 1316 695 1316 698 1316 694 1317 697 1317 695 1317 699 1318 696 1318 695 1318 601 1319 606 1319 698 1319 700 1320 698 1320 606 1320 676 1321 698 1321 697 1321 676 1322 601 1322 698 1322 699 1323 698 1323 700 1323 701 1324 606 1324 605 1324 701 1325 700 1325 606 1325 702 1326 605 1326 604 1326 702 1327 701 1327 605 1327 690 1328 702 1328 604 1328 703 1329 704 1329 585 1329 705 1330 585 1330 704 1330 706 1331 687 1331 585 1331 703 1332 585 1332 589 1332 706 1333 585 1333 705 1333 676 1334 707 1334 704 1334 708 1335 704 1335 707 1335 703 1336 676 1336 704 1336 708 1337 705 1337 704 1337 676 1338 709 1338 707 1338 710 1339 707 1339 709 1339 710 1340 708 1340 707 1340 676 1341 697 1341 709 1341 711 1342 709 1342 697 1342 711 1343 710 1343 709 1343 712 1344 697 1344 694 1344 711 1345 697 1345 712 1345 713 1346 694 1346 691 1346 713 1347 712 1347 694 1347 714 1348 691 1348 687 1348 714 1349 713 1349 691 1349 706 1350 714 1350 687 1350 715 1351 679 1351 682 1351 716 1352 686 1352 679 1352 716 1353 679 1353 715 1353 717 1354 682 1354 673 1354 717 1355 715 1355 682 1355 676 1356 718 1356 673 1356 719 1357 673 1357 718 1357 719 1358 717 1358 673 1358 676 1359 720 1359 718 1359 721 1360 718 1360 720 1360 721 1361 719 1361 718 1361 703 1362 722 1362 720 1362 723 1363 720 1363 722 1363 703 1364 720 1364 676 1364 721 1365 720 1365 723 1365 703 1366 724 1366 722 1366 725 1367 722 1367 724 1367 725 1368 723 1368 722 1368 664 1369 686 1369 724 1369 726 1370 724 1370 686 1370 703 1371 664 1371 724 1371 726 1372 725 1372 724 1372 716 1373 726 1373 686 1373 727 1374 589 1374 601 1374 728 1375 703 1375 589 1375 728 1376 589 1376 727 1376 729 1377 601 1377 676 1377 729 1378 727 1378 601 1378 730 1379 676 1379 670 1379 731 1380 676 1380 730 1380 731 1381 729 1381 676 1381 732 1382 670 1382 664 1382 732 1383 730 1383 670 1383 733 1384 664 1384 703 1384 733 1385 732 1385 664 1385 733 1386 703 1386 728 1386 734 1387 730 1387 732 1387 734 1388 731 1388 730 1388 735 1389 734 1389 732 1389 736 1390 735 1390 732 1390 737 1391 736 1391 732 1391 738 1392 732 1392 733 1392 739 1393 732 1393 738 1393 740 1394 732 1394 739 1394 740 1395 741 1395 732 1395 742 1396 732 1396 741 1396 742 1397 737 1397 732 1397 743 1398 611 1398 619 1398 744 1399 616 1399 611 1399 743 1400 744 1400 611 1400 745 1401 619 1401 622 1401 745 1402 746 1402 619 1402 743 1403 619 1403 746 1403 639 1404 747 1404 748 1404 749 1405 748 1405 747 1405 750 1406 639 1406 748 1406 749 1407 750 1407 748 1407 751 1408 752 1408 747 1408 753 1409 747 1409 752 1409 648 1410 751 1410 747 1410 639 1411 648 1411 747 1411 749 1412 747 1412 753 1412 754 1413 752 1413 751 1413 753 1414 752 1414 754 1414 653 1415 751 1415 648 1415 754 1416 751 1416 653 1416 750 1417 645 1417 639 1417 755 1418 653 1418 756 1418 652 1419 756 1419 653 1419 757 1420 758 1420 653 1420 754 1421 653 1421 758 1421 755 1422 757 1422 653 1422 759 1423 727 1423 729 1423 759 1424 760 1424 727 1424 761 1425 727 1425 760 1425 762 1426 728 1426 727 1426 761 1427 762 1427 727 1427 731 1428 763 1428 729 1428 764 1429 729 1429 763 1429 765 1430 759 1430 729 1430 766 1431 765 1431 729 1431 767 1432 766 1432 729 1432 764 1433 767 1433 729 1433 768 1434 763 1434 731 1434 768 1435 764 1435 763 1435 734 1436 769 1436 731 1436 712 1437 731 1437 769 1437 701 1438 731 1438 700 1438 712 1439 700 1439 731 1439 768 1440 731 1440 701 1440 770 1441 769 1441 734 1441 771 1442 712 1442 769 1442 771 1443 769 1443 770 1443 735 1444 772 1444 734 1444 770 1445 734 1445 772 1445 773 1446 591 1446 588 1446 774 1447 588 1447 593 1447 774 1448 773 1448 588 1448 775 1449 600 1449 603 1449 774 1450 597 1450 600 1450 775 1451 776 1451 600 1451 774 1452 600 1452 776 1452 775 1453 603 1453 607 1453 775 1454 607 1454 591 1454 773 1455 775 1455 591 1455 774 1456 593 1456 595 1456 774 1457 595 1457 597 1457 777 1458 669 1458 667 1458 778 1459 667 1459 672 1459 779 1460 777 1460 667 1460 778 1461 779 1461 667 1461 777 1462 681 1462 684 1462 715 1463 678 1463 681 1463 577 1464 715 1464 681 1464 777 1465 577 1465 681 1465 777 1466 684 1466 685 1466 777 1467 685 1467 669 1467 778 1468 672 1468 675 1468 715 1469 675 1469 678 1469 778 1470 675 1470 715 1470 780 1471 657 1471 656 1471 749 1472 656 1472 658 1472 753 1473 780 1473 656 1473 749 1474 753 1474 656 1474 781 1475 661 1475 662 1475 749 1476 660 1476 661 1476 749 1477 661 1477 781 1477 781 1478 662 1478 663 1478 781 1479 663 1479 657 1479 780 1480 781 1480 657 1480 749 1481 658 1481 659 1481 749 1482 659 1482 660 1482 782 1483 629 1483 628 1483 783 1484 628 1484 630 1484 783 1485 784 1485 628 1485 782 1486 628 1486 784 1486 782 1487 633 1487 634 1487 785 1488 632 1488 633 1488 785 1489 633 1489 782 1489 782 1490 634 1490 635 1490 782 1491 635 1491 629 1491 783 1492 630 1492 631 1492 783 1493 631 1493 632 1493 785 1494 783 1494 632 1494 768 1495 690 1495 689 1495 705 1496 689 1496 693 1496 786 1497 689 1497 705 1497 787 1498 689 1498 786 1498 768 1499 689 1499 787 1499 713 1500 699 1500 700 1500 713 1501 700 1501 712 1501 768 1502 701 1502 702 1502 768 1503 702 1503 690 1503 706 1504 693 1504 696 1504 706 1505 705 1505 693 1505 714 1506 696 1506 699 1506 706 1507 696 1507 714 1507 714 1508 699 1508 713 1508 786 1509 705 1509 708 1509 771 1510 711 1510 712 1510 786 1511 708 1511 710 1511 771 1512 710 1512 711 1512 771 1513 786 1513 710 1513 579 1514 716 1514 715 1514 778 1515 715 1515 717 1515 579 1516 715 1516 577 1516 582 1517 723 1517 725 1517 788 1518 721 1518 723 1518 789 1519 723 1519 582 1519 790 1520 723 1520 789 1520 790 1521 788 1521 723 1521 581 1522 725 1522 726 1522 581 1523 582 1523 725 1523 580 1524 726 1524 716 1524 581 1525 726 1525 580 1525 580 1526 716 1526 579 1526 791 1527 717 1527 719 1527 791 1528 778 1528 717 1528 788 1529 719 1529 721 1529 788 1530 791 1530 719 1530 777 1531 578 1531 577 1531 789 1532 582 1532 583 1532 792 1533 583 1533 584 1533 792 1534 789 1534 583 1534 777 1535 584 1535 578 1535 792 1536 584 1536 777 1536 728 1537 793 1537 794 1537 795 1538 794 1538 793 1538 796 1539 794 1539 797 1539 798 1540 797 1540 794 1540 733 1541 728 1541 794 1541 738 1542 733 1542 794 1542 799 1543 738 1543 794 1543 796 1544 799 1544 794 1544 798 1545 794 1545 795 1545 728 1546 800 1546 793 1546 801 1547 793 1547 800 1547 801 1548 795 1548 793 1548 728 1549 802 1549 800 1549 803 1550 800 1550 802 1550 803 1551 801 1551 800 1551 804 1552 805 1552 802 1552 806 1553 802 1553 805 1553 762 1554 802 1554 728 1554 762 1555 804 1555 802 1555 806 1556 803 1556 802 1556 807 1557 797 1557 805 1557 808 1558 805 1558 797 1558 804 1559 807 1559 805 1559 808 1560 806 1560 805 1560 807 1561 796 1561 797 1561 798 1562 808 1562 797 1562 745 1563 627 1563 616 1563 744 1564 745 1564 616 1564 745 1565 624 1565 627 1565 745 1566 622 1566 624 1566 809 1567 810 1567 811 1567 812 1568 811 1568 810 1568 643 1569 811 1569 813 1569 814 1570 813 1570 811 1570 643 1571 645 1571 811 1571 750 1572 811 1572 645 1572 750 1573 809 1573 811 1573 814 1574 811 1574 812 1574 809 1575 815 1575 810 1575 816 1576 810 1576 815 1576 816 1577 812 1577 810 1577 743 1578 817 1578 815 1578 818 1579 815 1579 817 1579 743 1580 815 1580 809 1580 816 1581 815 1581 818 1581 743 1582 746 1582 817 1582 819 1583 817 1583 746 1583 818 1584 817 1584 819 1584 820 1585 756 1585 746 1585 784 1586 746 1586 756 1586 745 1587 820 1587 746 1587 819 1588 746 1588 784 1588 652 1589 821 1589 756 1589 822 1590 756 1590 821 1590 820 1591 755 1591 756 1591 784 1592 756 1592 822 1592 643 1593 813 1593 821 1593 823 1594 821 1594 813 1594 652 1595 643 1595 821 1595 822 1596 821 1596 823 1596 823 1597 813 1597 814 1597 824 1598 825 1598 826 1598 827 1599 826 1599 825 1599 737 1600 826 1600 736 1600 828 1601 736 1601 826 1601 829 1602 824 1602 826 1602 737 1603 829 1603 826 1603 828 1604 826 1604 827 1604 824 1605 830 1605 825 1605 831 1606 825 1606 830 1606 831 1607 827 1607 825 1607 770 1608 832 1608 830 1608 833 1609 830 1609 832 1609 824 1610 770 1610 830 1610 831 1611 830 1611 833 1611 770 1612 834 1612 832 1612 835 1613 832 1613 834 1613 833 1614 832 1614 835 1614 770 1615 772 1615 834 1615 786 1616 834 1616 772 1616 835 1617 834 1617 786 1617 836 1618 772 1618 735 1618 786 1619 772 1619 836 1619 837 1620 735 1620 736 1620 836 1621 735 1621 837 1621 837 1622 736 1622 828 1622 781 1623 758 1623 757 1623 754 1624 758 1624 838 1624 839 1625 838 1625 758 1625 839 1626 758 1626 781 1626 840 1627 757 1627 755 1627 840 1628 781 1628 757 1628 841 1629 755 1629 820 1629 840 1630 755 1630 841 1630 842 1631 820 1631 745 1631 841 1632 820 1632 842 1632 843 1633 844 1633 745 1633 845 1634 745 1634 844 1634 846 1635 843 1635 745 1635 744 1636 846 1636 745 1636 842 1637 745 1637 845 1637 843 1638 847 1638 844 1638 848 1639 844 1639 847 1639 845 1640 844 1640 848 1640 754 1641 838 1641 847 1641 849 1642 847 1642 838 1642 843 1643 754 1643 847 1643 848 1644 847 1644 849 1644 849 1645 838 1645 839 1645 776 1646 760 1646 759 1646 761 1647 760 1647 850 1647 851 1648 850 1648 760 1648 851 1649 760 1649 776 1649 852 1650 759 1650 765 1650 852 1651 776 1651 759 1651 853 1652 765 1652 766 1652 852 1653 765 1653 853 1653 854 1654 766 1654 767 1654 853 1655 766 1655 854 1655 855 1656 856 1656 767 1656 787 1657 767 1657 856 1657 764 1658 855 1658 767 1658 854 1659 767 1659 787 1659 855 1660 857 1660 856 1660 858 1661 856 1661 857 1661 787 1662 856 1662 858 1662 761 1663 850 1663 857 1663 859 1664 857 1664 850 1664 855 1665 843 1665 857 1665 761 1666 857 1666 843 1666 858 1667 857 1667 859 1667 859 1668 850 1668 851 1668 753 1669 754 1669 843 1669 780 1670 843 1670 855 1670 860 1671 843 1671 846 1671 860 1672 799 1672 843 1672 796 1673 843 1673 799 1673 861 1674 843 1674 796 1674 861 1675 761 1675 843 1675 753 1676 843 1676 780 1676 775 1677 855 1677 764 1677 780 1678 855 1678 775 1678 775 1679 764 1679 768 1679 771 1680 770 1680 824 1680 743 1681 809 1681 824 1681 862 1682 824 1682 809 1682 863 1683 743 1683 824 1683 740 1684 863 1684 824 1684 864 1685 740 1685 824 1685 829 1686 864 1686 824 1686 771 1687 824 1687 862 1687 783 1688 809 1688 750 1688 862 1689 809 1689 783 1689 749 1690 783 1690 750 1690 865 1691 866 1691 846 1691 867 1692 846 1692 866 1692 868 1693 860 1693 846 1693 865 1694 846 1694 744 1694 868 1695 846 1695 867 1695 869 1696 870 1696 866 1696 871 1697 866 1697 870 1697 865 1698 869 1698 866 1698 871 1699 867 1699 866 1699 739 1700 738 1700 870 1700 872 1701 870 1701 738 1701 869 1702 739 1702 870 1702 871 1703 870 1703 872 1703 873 1704 738 1704 799 1704 872 1705 738 1705 873 1705 874 1706 799 1706 860 1706 873 1707 799 1707 874 1707 874 1708 860 1708 868 1708 875 1709 796 1709 807 1709 876 1710 861 1710 796 1710 876 1711 796 1711 875 1711 877 1712 807 1712 804 1712 877 1713 875 1713 807 1713 878 1714 804 1714 762 1714 877 1715 804 1715 878 1715 879 1716 762 1716 761 1716 878 1717 762 1717 879 1717 880 1718 761 1718 861 1718 879 1719 761 1719 880 1719 880 1720 861 1720 876 1720 881 1721 744 1721 743 1721 882 1722 865 1722 744 1722 882 1723 744 1723 881 1723 883 1724 743 1724 863 1724 883 1725 881 1725 743 1725 740 1726 739 1726 863 1726 884 1727 863 1727 739 1727 883 1728 863 1728 884 1728 885 1729 739 1729 869 1729 884 1730 739 1730 885 1730 886 1731 869 1731 865 1731 885 1732 869 1732 886 1732 886 1733 865 1733 882 1733 887 1734 741 1734 740 1734 888 1735 742 1735 741 1735 888 1736 741 1736 887 1736 889 1737 740 1737 864 1737 889 1738 887 1738 740 1738 890 1739 864 1739 829 1739 889 1740 864 1740 890 1740 891 1741 829 1741 737 1741 890 1742 829 1742 891 1742 892 1743 737 1743 742 1743 891 1744 737 1744 892 1744 892 1745 742 1745 888 1745 808 1746 561 1746 560 1746 806 1747 560 1747 564 1747 808 1748 560 1748 806 1748 795 1749 572 1749 574 1749 801 1750 570 1750 572 1750 801 1751 572 1751 795 1751 798 1752 574 1752 561 1752 798 1753 795 1753 574 1753 798 1754 561 1754 808 1754 803 1755 564 1755 570 1755 806 1756 564 1756 803 1756 803 1757 570 1757 801 1757 840 1758 814 1758 812 1758 749 1759 812 1759 816 1759 840 1760 812 1760 781 1760 749 1761 781 1761 812 1761 841 1762 823 1762 814 1762 840 1763 841 1763 814 1763 842 1764 822 1764 823 1764 841 1765 842 1765 823 1765 845 1766 784 1766 822 1766 842 1767 845 1767 822 1767 783 1768 819 1768 784 1768 782 1769 784 1769 845 1769 783 1770 818 1770 819 1770 749 1771 816 1771 818 1771 749 1772 818 1772 783 1772 852 1773 828 1773 827 1773 783 1774 827 1774 831 1774 852 1775 827 1775 776 1775 774 1776 776 1776 827 1776 893 1777 827 1777 783 1777 893 1778 774 1778 827 1778 853 1779 837 1779 828 1779 852 1780 853 1780 828 1780 854 1781 836 1781 837 1781 853 1782 854 1782 837 1782 787 1783 786 1783 836 1783 854 1784 787 1784 836 1784 862 1785 835 1785 786 1785 771 1786 862 1786 786 1786 862 1787 833 1787 835 1787 783 1788 831 1788 833 1788 862 1789 783 1789 833 1789 780 1790 839 1790 781 1790 780 1791 849 1791 839 1791 775 1792 848 1792 849 1792 780 1793 775 1793 849 1793 775 1794 845 1794 848 1794 894 1795 845 1795 775 1795 894 1796 782 1796 845 1796 775 1797 851 1797 776 1797 775 1798 859 1798 851 1798 768 1799 858 1799 859 1799 775 1800 768 1800 859 1800 768 1801 787 1801 858 1801 895 1802 783 1802 785 1802 895 1803 778 1803 783 1803 791 1804 783 1804 778 1804 896 1805 783 1805 791 1805 896 1806 893 1806 783 1806 897 1807 894 1807 775 1807 898 1808 897 1808 775 1808 899 1809 898 1809 775 1809 900 1810 899 1810 775 1810 773 1811 900 1811 775 1811 901 1812 782 1812 894 1812 785 1813 782 1813 902 1813 903 1814 902 1814 782 1814 901 1815 903 1815 782 1815 904 1816 894 1816 897 1816 904 1817 901 1817 894 1817 905 1818 897 1818 898 1818 904 1819 897 1819 905 1819 906 1820 907 1820 898 1820 908 1821 898 1821 907 1821 899 1822 777 1822 898 1822 779 1823 898 1823 777 1823 779 1824 906 1824 898 1824 905 1825 898 1825 908 1825 909 1826 902 1826 907 1826 910 1827 907 1827 902 1827 906 1828 909 1828 907 1828 910 1829 908 1829 907 1829 909 1830 785 1830 902 1830 903 1831 910 1831 902 1831 911 1832 777 1832 899 1832 912 1833 792 1833 777 1833 911 1834 912 1834 777 1834 913 1835 899 1835 900 1835 913 1836 911 1836 899 1836 914 1837 900 1837 773 1837 913 1838 900 1838 914 1838 790 1839 789 1839 773 1839 915 1840 773 1840 789 1840 774 1841 790 1841 773 1841 914 1842 773 1842 915 1842 916 1843 789 1843 792 1843 916 1844 915 1844 789 1844 912 1845 916 1845 792 1845 917 1846 785 1846 909 1846 918 1847 895 1847 785 1847 917 1848 918 1848 785 1848 919 1849 909 1849 906 1849 919 1850 917 1850 909 1850 920 1851 906 1851 779 1851 919 1852 906 1852 920 1852 921 1853 779 1853 778 1853 920 1854 779 1854 921 1854 922 1855 778 1855 895 1855 922 1856 921 1856 778 1856 918 1857 922 1857 895 1857 923 1858 791 1858 788 1858 924 1859 896 1859 791 1859 923 1860 924 1860 791 1860 925 1861 788 1861 790 1861 925 1862 923 1862 788 1862 926 1863 790 1863 774 1863 925 1864 790 1864 926 1864 927 1865 774 1865 893 1865 926 1866 774 1866 927 1866 928 1867 893 1867 896 1867 928 1868 927 1868 893 1868 924 1869 928 1869 896 1869 873 1870 908 1870 910 1870 873 1871 874 1871 908 1871 905 1872 908 1872 874 1872 871 1873 910 1873 903 1873 871 1874 873 1874 910 1874 871 1875 903 1875 901 1875 871 1876 901 1876 867 1876 904 1877 867 1877 901 1877 874 1878 868 1878 867 1878 904 1879 874 1879 867 1879 904 1880 905 1880 874 1880 871 1881 872 1881 873 1881 879 1882 915 1882 916 1882 879 1883 880 1883 915 1883 914 1884 915 1884 880 1884 877 1885 916 1885 912 1885 877 1886 879 1886 916 1886 877 1887 912 1887 911 1887 877 1888 911 1888 875 1888 913 1889 875 1889 911 1889 880 1890 876 1890 875 1890 913 1891 880 1891 875 1891 913 1892 914 1892 880 1892 877 1893 878 1893 879 1893 885 1894 921 1894 922 1894 885 1895 886 1895 921 1895 920 1896 921 1896 886 1896 883 1897 922 1897 918 1897 883 1898 885 1898 922 1898 883 1899 918 1899 917 1899 883 1900 917 1900 881 1900 919 1901 881 1901 917 1901 886 1902 882 1902 881 1902 919 1903 886 1903 881 1903 919 1904 920 1904 886 1904 883 1905 884 1905 885 1905 891 1906 927 1906 928 1906 891 1907 892 1907 927 1907 926 1908 927 1908 892 1908 889 1909 928 1909 924 1909 889 1910 891 1910 928 1910 889 1911 924 1911 923 1911 889 1912 923 1912 887 1912 925 1913 887 1913 923 1913 892 1914 888 1914 887 1914 925 1915 892 1915 887 1915 925 1916 926 1916 892 1916 889 1917 890 1917 891 1917 929 1918 930 1918 931 1918 932 1919 931 1919 930 1919 933 1920 931 1920 934 1920 935 1921 934 1921 931 1921 933 1922 929 1922 931 1922 932 1923 935 1923 931 1923 936 1924 937 1924 930 1924 938 1925 930 1925 937 1925 939 1926 936 1926 930 1926 929 1927 939 1927 930 1927 932 1928 930 1928 938 1928 940 1929 937 1929 936 1929 938 1930 937 1930 940 1930 941 1931 942 1931 936 1931 943 1932 936 1932 942 1932 944 1933 941 1933 936 1933 939 1934 944 1934 936 1934 940 1935 936 1935 943 1935 945 1936 946 1936 942 1936 947 1937 942 1937 946 1937 941 1938 945 1938 942 1938 943 1939 942 1939 947 1939 934 1940 948 1940 946 1940 949 1941 946 1941 948 1941 950 1942 934 1942 946 1942 945 1943 950 1943 946 1943 947 1944 946 1944 949 1944 951 1945 948 1945 934 1945 949 1946 948 1946 951 1946 952 1947 934 1947 950 1947 952 1948 933 1948 934 1948 951 1949 934 1949 935 1949 953 1950 950 1950 945 1950 954 1951 952 1951 950 1951 954 1952 950 1952 953 1952 955 1953 945 1953 941 1953 955 1954 953 1954 945 1954 956 1955 941 1955 944 1955 955 1956 941 1956 956 1956 957 1957 944 1957 939 1957 956 1958 944 1958 957 1958 958 1959 939 1959 929 1959 957 1960 939 1960 958 1960 959 1961 929 1961 933 1961 958 1962 929 1962 959 1962 960 1963 933 1963 952 1963 959 1964 933 1964 960 1964 960 1965 952 1965 954 1965 947 1966 951 1966 935 1966 943 1967 947 1967 935 1967 932 1968 943 1968 935 1968 947 1969 949 1969 951 1969 932 1970 940 1970 943 1970 932 1971 938 1971 940 1971 960 1972 954 1972 953 1972 961 1973 960 1973 953 1973 962 1974 953 1974 955 1974 961 1975 953 1975 962 1975 963 1976 959 1976 960 1976 961 1977 963 1977 960 1977 964 1978 958 1978 959 1978 965 1979 964 1979 959 1979 963 1980 965 1980 959 1980 956 1981 957 1981 958 1981 966 1982 956 1982 958 1982 964 1983 966 1983 958 1983 967 1984 955 1984 956 1984 966 1985 967 1985 956 1985 968 1986 962 1986 955 1986 967 1987 968 1987 955 1987 969 1988 962 1988 968 1988 970 1989 961 1989 962 1989 970 1990 962 1990 969 1990 971 1991 968 1991 967 1991 971 1992 969 1992 968 1992 972 1993 967 1993 966 1993 971 1994 967 1994 972 1994 973 1995 966 1995 964 1995 972 1996 966 1996 973 1996 974 1997 964 1997 965 1997 973 1998 964 1998 974 1998 975 1999 965 1999 963 1999 974 2000 965 2000 975 2000 976 2001 963 2001 961 2001 975 2002 963 2002 976 2002 976 2003 961 2003 970 2003 972 2004 970 2004 969 2004 971 2005 972 2005 969 2005 973 2006 976 2006 970 2006 972 2007 973 2007 970 2007 974 2008 975 2008 976 2008 973 2009 974 2009 976 2009 977 2010 978 2010 979 2010 980 2011 979 2011 978 2011 977 2012 979 2012 981 2012 982 2013 981 2013 979 2013 982 2014 979 2014 980 2014 983 2015 984 2015 978 2015 985 2016 978 2016 984 2016 977 2017 983 2017 978 2017 985 2018 980 2018 978 2018 986 2019 987 2019 984 2019 988 2020 984 2020 987 2020 989 2021 986 2021 984 2021 983 2022 989 2022 984 2022 985 2023 984 2023 988 2023 986 2024 990 2024 987 2024 991 2025 987 2025 990 2025 988 2026 987 2026 991 2026 992 2027 981 2027 990 2027 993 2028 990 2028 981 2028 986 2029 994 2029 990 2029 995 2030 990 2030 994 2030 995 2031 992 2031 990 2031 991 2032 990 2032 993 2032 996 2033 977 2033 981 2033 992 2034 996 2034 981 2034 993 2035 981 2035 982 2035 997 2036 998 2036 999 2036 1000 2037 999 2037 998 2037 1001 2038 999 2038 1002 2038 1003 2039 1002 2039 999 2039 1001 2040 997 2040 999 2040 1003 2041 999 2041 1000 2041 997 2042 1004 2042 998 2042 1005 2043 998 2043 1004 2043 1005 2044 1000 2044 998 2044 1006 2045 1007 2045 1004 2045 1008 2046 1004 2046 1007 2046 997 2047 1009 2047 1004 2047 1010 2048 1004 2048 1009 2048 1010 2049 1006 2049 1004 2049 1005 2050 1004 2050 1008 2050 1011 2051 1012 2051 1007 2051 1013 2052 1007 2052 1012 2052 1006 2053 1011 2053 1007 2053 1008 2054 1007 2054 1013 2054 1014 2055 1002 2055 1012 2055 1015 2056 1012 2056 1002 2056 1016 2057 1012 2057 1011 2057 1016 2058 1014 2058 1012 2058 1013 2059 1012 2059 1015 2059 1017 2060 1001 2060 1002 2060 1014 2061 1017 2061 1002 2061 1015 2062 1002 2062 1003 2062 977 2063 1018 2063 1019 2063 1020 2064 1019 2064 1018 2064 1021 2065 1019 2065 1022 2065 1023 2066 1022 2066 1019 2066 1024 2067 977 2067 1019 2067 1025 2068 1024 2068 1019 2068 1021 2069 1025 2069 1019 2069 1023 2070 1019 2070 1020 2070 977 2071 1026 2071 1018 2071 1027 2072 1018 2072 1026 2072 1027 2073 1020 2073 1018 2073 1028 2074 1029 2074 1026 2074 1030 2075 1026 2075 1029 2075 1031 2076 1026 2076 977 2076 1031 2077 1028 2077 1026 2077 1027 2078 1026 2078 1030 2078 994 2079 1032 2079 1029 2079 1033 2080 1029 2080 1032 2080 1028 2081 994 2081 1029 2081 1030 2082 1029 2082 1033 2082 994 2083 1022 2083 1032 2083 1034 2084 1032 2084 1022 2084 1033 2085 1032 2085 1034 2085 1021 2086 1022 2086 994 2086 1034 2087 1022 2087 1023 2087 1001 2088 1035 2088 1036 2088 1037 2089 1036 2089 1035 2089 1038 2090 1036 2090 1039 2090 1040 2091 1039 2091 1036 2091 1038 2092 1001 2092 1036 2092 1040 2093 1036 2093 1037 2093 1001 2094 1041 2094 1035 2094 1042 2095 1035 2095 1041 2095 1042 2096 1037 2096 1035 2096 1043 2097 1044 2097 1041 2097 1045 2098 1041 2098 1044 2098 1046 2099 1041 2099 1001 2099 1046 2100 1043 2100 1041 2100 1042 2101 1041 2101 1045 2101 1011 2102 1047 2102 1044 2102 1048 2103 1044 2103 1047 2103 1043 2104 1011 2104 1044 2104 1045 2105 1044 2105 1048 2105 1011 2106 1039 2106 1047 2106 1049 2107 1047 2107 1039 2107 1048 2108 1047 2108 1049 2108 1050 2109 1038 2109 1039 2109 1051 2110 1039 2110 1011 2110 1051 2111 1050 2111 1039 2111 1049 2112 1039 2112 1040 2112 1052 2113 1053 2113 1054 2113 1055 2114 1054 2114 1053 2114 1052 2115 1054 2115 1056 2115 1057 2116 1056 2116 1054 2116 1055 2117 1057 2117 1054 2117 1052 2118 1058 2118 1053 2118 1059 2119 1053 2119 1058 2119 1059 2120 1055 2120 1053 2120 1060 2121 1061 2121 1058 2121 1062 2122 1058 2122 1061 2122 1063 2123 1060 2123 1058 2123 1052 2124 1063 2124 1058 2124 1059 2125 1058 2125 1062 2125 1064 2126 1065 2126 1061 2126 1066 2127 1061 2127 1065 2127 1064 2128 1061 2128 1060 2128 1062 2129 1061 2129 1066 2129 1067 2130 1056 2130 1065 2130 1068 2131 1065 2131 1056 2131 1067 2132 1065 2132 1064 2132 1068 2133 1066 2133 1065 2133 1069 2134 1052 2134 1056 2134 1067 2135 1069 2135 1056 2135 1057 2136 1068 2136 1056 2136 1070 2137 1060 2137 1063 2137 1071 2138 1064 2138 1060 2138 1070 2139 1071 2139 1060 2139 1052 2140 1072 2140 1063 2140 1073 2141 1063 2141 1072 2141 1073 2142 1070 2142 1063 2142 1074 2143 1075 2143 1072 2143 1076 2144 1072 2144 1075 2144 1077 2145 1074 2145 1072 2145 1052 2146 1077 2146 1072 2146 1073 2147 1072 2147 1076 2147 1078 2148 1079 2148 1075 2148 1080 2149 1075 2149 1079 2149 1078 2150 1075 2150 1074 2150 1076 2151 1075 2151 1080 2151 1067 2152 1064 2152 1079 2152 1081 2153 1079 2153 1064 2153 1067 2154 1079 2154 1078 2154 1081 2155 1080 2155 1079 2155 1071 2156 1081 2156 1064 2156 1082 2157 1074 2157 1077 2157 1083 2158 1078 2158 1074 2158 1082 2159 1083 2159 1074 2159 1052 2160 1084 2160 1077 2160 1085 2161 1077 2161 1084 2161 1085 2162 1082 2162 1077 2162 1067 2163 1086 2163 1084 2163 1087 2164 1084 2164 1086 2164 1088 2165 1084 2165 1052 2165 1088 2166 1067 2166 1084 2166 1085 2167 1084 2167 1087 2167 1067 2168 1089 2168 1086 2168 1090 2169 1086 2169 1089 2169 1087 2170 1086 2170 1090 2170 1067 2171 1078 2171 1089 2171 1091 2172 1089 2172 1078 2172 1091 2173 1090 2173 1089 2173 1083 2174 1091 2174 1078 2174 983 2175 1009 2175 1092 2175 1093 2176 1092 2176 1009 2176 983 2177 1092 2177 989 2177 1094 2178 989 2178 1092 2178 1094 2179 1092 2179 1093 2179 1095 2180 1009 2180 997 2180 983 2181 1010 2181 1009 2181 1093 2182 1009 2182 1095 2182 1096 2183 997 2183 1001 2183 1095 2184 997 2184 1096 2184 1097 2185 1001 2185 1038 2185 1098 2186 1099 2186 1001 2186 1046 2187 1001 2187 1099 2187 1017 2188 1098 2188 1001 2188 1096 2189 1001 2189 1097 2189 1100 2190 1101 2190 1038 2190 1102 2191 1038 2191 1101 2191 1103 2192 1104 2192 1038 2192 1100 2193 1038 2193 1104 2193 1050 2194 1103 2194 1038 2194 1097 2195 1038 2195 1102 2195 1011 2196 1105 2196 1101 2196 1106 2197 1101 2197 1105 2197 1107 2198 1011 2198 1101 2198 1100 2199 1107 2199 1101 2199 1102 2200 1101 2200 1106 2200 1108 2201 1109 2201 1105 2201 1110 2202 1105 2202 1109 2202 1108 2203 1105 2203 1011 2203 1106 2204 1105 2204 1110 2204 1111 2205 1112 2205 1109 2205 1113 2206 1109 2206 1112 2206 1108 2207 1111 2207 1109 2207 1110 2208 1109 2208 1113 2208 1114 2209 994 2209 1112 2209 1115 2210 1112 2210 994 2210 1116 2211 1112 2211 1111 2211 1117 2212 1114 2212 1112 2212 1118 2213 1117 2213 1112 2213 1116 2214 1118 2214 1112 2214 1113 2215 1112 2215 1115 2215 1119 2216 994 2216 986 2216 1120 2217 995 2217 994 2217 1028 2218 1120 2218 994 2218 1114 2219 1021 2219 994 2219 1115 2220 994 2220 1119 2220 1121 2221 986 2221 989 2221 1119 2222 986 2222 1121 2222 1094 2223 1121 2223 989 2223 1122 2224 1011 2224 1006 2224 1123 2225 1108 2225 1011 2225 1124 2226 1016 2226 1011 2226 1043 2227 1124 2227 1011 2227 1125 2228 1051 2228 1011 2228 1126 2229 1125 2229 1011 2229 1107 2230 1126 2230 1011 2230 1123 2231 1011 2231 1122 2231 1127 2232 1006 2232 1010 2232 1122 2233 1006 2233 1127 2233 1128 2234 1129 2234 1010 2234 1130 2235 1010 2235 1129 2235 983 2236 1128 2236 1010 2236 1127 2237 1010 2237 1130 2237 1131 2238 1129 2238 1128 2238 1130 2239 1129 2239 1131 2239 1132 2240 1128 2240 983 2240 1131 2241 1128 2241 1132 2241 1133 2242 983 2242 977 2242 1132 2243 983 2243 1133 2243 1024 2244 1111 2244 977 2244 1134 2245 977 2245 1111 2245 1135 2246 1136 2246 977 2246 1031 2247 977 2247 1136 2247 996 2248 1135 2248 977 2248 1133 2249 977 2249 1134 2249 1108 2250 1137 2250 1111 2250 1138 2251 1111 2251 1137 2251 1139 2252 1111 2252 1024 2252 1139 2253 1116 2253 1111 2253 1134 2254 1111 2254 1138 2254 1140 2255 1141 2255 1137 2255 1142 2256 1137 2256 1141 2256 1143 2257 1140 2257 1137 2257 1144 2258 1143 2258 1137 2258 1108 2259 1144 2259 1137 2259 1138 2260 1137 2260 1142 2260 1145 2261 1141 2261 1140 2261 1142 2262 1141 2262 1145 2262 1146 2263 1147 2263 1140 2263 1148 2264 1140 2264 1147 2264 1143 2265 1146 2265 1140 2265 1145 2266 1140 2266 1148 2266 1088 2267 1052 2267 1147 2267 1149 2268 1147 2268 1052 2268 1146 2269 1088 2269 1147 2269 1148 2270 1147 2270 1149 2270 1150 2271 1052 2271 1069 2271 1149 2272 1052 2272 1150 2272 1151 2273 1069 2273 1067 2273 1150 2274 1069 2274 1151 2274 1152 2275 1067 2275 1088 2275 1151 2276 1067 2276 1152 2276 1153 2277 1088 2277 1146 2277 1152 2278 1088 2278 1153 2278 1154 2279 1146 2279 1143 2279 1153 2280 1146 2280 1154 2280 1155 2281 1143 2281 1144 2281 1154 2282 1143 2282 1155 2282 1156 2283 1144 2283 1108 2283 1155 2284 1144 2284 1156 2284 1123 2285 1156 2285 1108 2285 1157 2286 1136 2286 1135 2286 1158 2287 1031 2287 1136 2287 1158 2288 1136 2288 1157 2288 1159 2289 1135 2289 996 2289 1159 2290 1157 2290 1135 2290 1160 2291 996 2291 992 2291 1159 2292 996 2292 1160 2292 1161 2293 992 2293 995 2293 1160 2294 992 2294 1161 2294 1162 2295 995 2295 1120 2295 1161 2296 995 2296 1162 2296 1163 2297 1120 2297 1028 2297 1162 2298 1120 2298 1163 2298 1164 2299 1028 2299 1031 2299 1163 2300 1028 2300 1164 2300 1164 2301 1031 2301 1158 2301 1165 2302 1099 2302 1098 2302 1166 2303 1046 2303 1099 2303 1166 2304 1099 2304 1165 2304 1167 2305 1098 2305 1017 2305 1167 2306 1165 2306 1098 2306 1168 2307 1017 2307 1014 2307 1167 2308 1017 2308 1168 2308 1169 2309 1014 2309 1016 2309 1168 2310 1014 2310 1169 2310 1170 2311 1016 2311 1124 2311 1169 2312 1016 2312 1170 2312 1171 2313 1124 2313 1043 2313 1170 2314 1124 2314 1171 2314 1172 2315 1043 2315 1046 2315 1171 2316 1043 2316 1172 2316 1172 2317 1046 2317 1166 2317 1173 2318 1024 2318 1025 2318 1174 2319 1139 2319 1024 2319 1174 2320 1024 2320 1173 2320 1175 2321 1025 2321 1021 2321 1175 2322 1173 2322 1025 2322 1176 2323 1021 2323 1114 2323 1175 2324 1021 2324 1176 2324 1177 2325 1114 2325 1117 2325 1176 2326 1114 2326 1177 2326 1178 2327 1117 2327 1118 2327 1177 2328 1117 2328 1178 2328 1179 2329 1118 2329 1116 2329 1178 2330 1118 2330 1179 2330 1180 2331 1116 2331 1139 2331 1179 2332 1116 2332 1180 2332 1180 2333 1139 2333 1174 2333 1181 2334 1104 2334 1103 2334 1182 2335 1100 2335 1104 2335 1182 2336 1104 2336 1181 2336 1183 2337 1103 2337 1050 2337 1183 2338 1181 2338 1103 2338 1184 2339 1050 2339 1051 2339 1183 2340 1050 2340 1184 2340 1185 2341 1051 2341 1125 2341 1184 2342 1051 2342 1185 2342 1186 2343 1125 2343 1126 2343 1185 2344 1125 2344 1186 2344 1187 2345 1126 2345 1107 2345 1186 2346 1126 2346 1187 2346 1188 2347 1107 2347 1100 2347 1187 2348 1107 2348 1188 2348 1188 2349 1100 2349 1182 2349 1138 2350 982 2350 980 2350 1134 2351 980 2351 985 2351 1134 2352 1138 2352 980 2352 1159 2353 993 2353 982 2353 1157 2354 982 2354 1138 2354 1159 2355 982 2355 1157 2355 1000 2356 991 2356 993 2356 1003 2357 1000 2357 993 2357 1160 2358 1003 2358 993 2358 1159 2359 1160 2359 993 2359 1005 2360 988 2360 991 2360 1005 2361 991 2361 1000 2361 988 2362 1005 2362 1130 2362 1130 2363 985 2363 988 2363 1133 2364 1134 2364 985 2364 1130 2365 1133 2365 985 2365 1160 2366 1015 2366 1003 2366 1127 2367 1013 2367 1015 2367 1168 2368 1127 2368 1015 2368 1168 2369 1015 2369 1160 2369 1127 2370 1008 2370 1013 2370 1130 2371 1005 2371 1008 2371 1127 2372 1130 2372 1008 2372 1138 2373 1023 2373 1020 2373 1164 2374 1020 2374 1027 2374 1164 2375 1138 2375 1020 2375 1138 2376 1034 2376 1023 2376 1037 2377 1033 2377 1034 2377 1040 2378 1037 2378 1034 2378 1176 2379 1040 2379 1034 2379 1175 2380 1034 2380 1138 2380 1175 2381 1176 2381 1034 2381 1042 2382 1030 2382 1033 2382 1042 2383 1033 2383 1037 2383 1172 2384 1027 2384 1030 2384 1172 2385 1030 2385 1042 2385 1172 2386 1164 2386 1027 2386 1176 2387 1049 2387 1040 2387 1184 2388 1048 2388 1049 2388 1184 2389 1049 2389 1176 2389 1127 2390 1045 2390 1048 2390 1186 2391 1127 2391 1048 2391 1185 2392 1186 2392 1048 2392 1184 2393 1185 2393 1048 2393 1127 2394 1042 2394 1045 2394 1171 2395 1042 2395 1127 2395 1171 2396 1172 2396 1042 2396 1151 2397 1189 2397 1190 2397 1191 2398 1190 2398 1189 2398 1150 2399 1190 2399 1192 2399 1193 2400 1192 2400 1190 2400 1150 2401 1151 2401 1190 2401 1193 2402 1190 2402 1191 2402 1151 2403 1194 2403 1189 2403 1195 2404 1189 2404 1194 2404 1195 2405 1191 2405 1189 2405 1196 2406 1197 2406 1194 2406 1198 2407 1194 2407 1197 2407 1199 2408 1196 2408 1194 2408 1151 2409 1199 2409 1194 2409 1195 2410 1194 2410 1198 2410 1200 2411 1201 2411 1197 2411 1202 2412 1197 2412 1201 2412 1200 2413 1197 2413 1196 2413 1198 2414 1197 2414 1202 2414 1153 2415 1192 2415 1201 2415 1203 2416 1201 2416 1192 2416 1153 2417 1201 2417 1200 2417 1202 2418 1201 2418 1203 2418 1150 2419 1192 2419 1153 2419 1203 2420 1192 2420 1193 2420 1204 2421 1196 2421 1199 2421 1205 2422 1200 2422 1196 2422 1205 2423 1196 2423 1204 2423 1151 2424 1206 2424 1199 2424 1207 2425 1199 2425 1206 2425 1207 2426 1204 2426 1199 2426 1208 2427 1209 2427 1206 2427 1210 2428 1206 2428 1209 2428 1211 2429 1208 2429 1206 2429 1151 2430 1211 2430 1206 2430 1207 2431 1206 2431 1210 2431 1212 2432 1213 2432 1209 2432 1214 2433 1209 2433 1213 2433 1212 2434 1209 2434 1208 2434 1210 2435 1209 2435 1214 2435 1153 2436 1200 2436 1213 2436 1215 2437 1213 2437 1200 2437 1153 2438 1213 2438 1212 2438 1214 2439 1213 2439 1215 2439 1215 2440 1200 2440 1205 2440 1216 2441 1208 2441 1211 2441 1217 2442 1212 2442 1208 2442 1217 2443 1208 2443 1216 2443 1151 2444 1218 2444 1211 2444 1219 2445 1211 2445 1218 2445 1219 2446 1216 2446 1211 2446 1152 2447 1220 2447 1218 2447 1221 2448 1218 2448 1220 2448 1151 2449 1152 2449 1218 2449 1219 2450 1218 2450 1221 2450 1153 2451 1222 2451 1220 2451 1223 2452 1220 2452 1222 2452 1152 2453 1153 2453 1220 2453 1221 2454 1220 2454 1223 2454 1153 2455 1212 2455 1222 2455 1224 2456 1222 2456 1212 2456 1223 2457 1222 2457 1224 2457 1224 2458 1212 2458 1217 2458 1123 2459 1155 2459 1156 2459 1149 2460 1154 2460 1155 2460 1148 2461 1149 2461 1155 2461 1123 2462 1148 2462 1155 2462 1150 2463 1153 2463 1154 2463 1149 2464 1150 2464 1154 2464 1123 2465 1145 2465 1148 2465 1123 2466 1142 2466 1145 2466 1122 2467 1138 2467 1142 2467 1123 2468 1122 2468 1142 2468 1188 2469 1138 2469 1122 2469 1158 2470 1157 2470 1138 2470 1164 2471 1158 2471 1138 2471 1174 2472 1173 2472 1138 2472 1175 2473 1138 2473 1173 2473 1180 2474 1174 2474 1138 2474 1188 2475 1180 2475 1138 2475 1131 2476 1132 2476 1133 2476 1130 2477 1131 2477 1133 2477 1186 2478 1122 2478 1127 2478 1170 2479 1171 2479 1127 2479 1169 2480 1170 2480 1127 2480 1168 2481 1169 2481 1127 2481 1187 2482 1188 2482 1122 2482 1186 2483 1187 2483 1122 2483 1166 2484 1163 2484 1164 2484 1172 2485 1166 2485 1164 2485 1165 2486 1162 2486 1163 2486 1166 2487 1165 2487 1163 2487 1167 2488 1161 2488 1162 2488 1167 2489 1162 2489 1165 2489 1168 2490 1160 2490 1161 2490 1167 2491 1168 2491 1161 2491 1182 2492 1179 2492 1180 2492 1188 2493 1182 2493 1180 2493 1181 2494 1178 2494 1179 2494 1182 2495 1181 2495 1179 2495 1183 2496 1177 2496 1178 2496 1183 2497 1178 2497 1181 2497 1184 2498 1176 2498 1177 2498 1183 2499 1184 2499 1177 2499 1202 2500 1066 2500 1068 2500 1202 2501 1203 2501 1066 2501 1062 2502 1066 2502 1203 2502 1195 2503 1068 2503 1057 2503 1198 2504 1202 2504 1068 2504 1195 2505 1198 2505 1068 2505 1195 2506 1057 2506 1055 2506 1195 2507 1055 2507 1191 2507 1059 2508 1191 2508 1055 2508 1059 2509 1193 2509 1191 2509 1059 2510 1203 2510 1193 2510 1059 2511 1062 2511 1203 2511 1214 2512 1080 2512 1081 2512 1214 2513 1215 2513 1080 2513 1076 2514 1080 2514 1215 2514 1207 2515 1081 2515 1071 2515 1210 2516 1214 2516 1081 2516 1207 2517 1210 2517 1081 2517 1207 2518 1071 2518 1070 2518 1207 2519 1070 2519 1204 2519 1073 2520 1204 2520 1070 2520 1073 2521 1205 2521 1204 2521 1073 2522 1215 2522 1205 2522 1073 2523 1076 2523 1215 2523 1223 2524 1090 2524 1091 2524 1223 2525 1224 2525 1090 2525 1087 2526 1090 2526 1224 2526 1219 2527 1091 2527 1083 2527 1221 2528 1223 2528 1091 2528 1219 2529 1221 2529 1091 2529 1219 2530 1083 2530 1082 2530 1219 2531 1082 2531 1216 2531 1085 2532 1216 2532 1082 2532 1085 2533 1217 2533 1216 2533 1085 2534 1224 2534 1217 2534 1085 2535 1087 2535 1224 2535 1102 2536 1119 2536 1121 2536 1097 2537 1102 2537 1121 2537 1094 2538 1097 2538 1121 2538 1106 2539 1115 2539 1119 2539 1102 2540 1106 2540 1119 2540 1110 2541 1113 2541 1115 2541 1106 2542 1110 2542 1115 2542 1094 2543 1096 2543 1097 2543 1093 2544 1095 2544 1096 2544 1094 2545 1093 2545 1096 2545 1225 2546 1226 2546 1227 2546 1228 2547 1227 2547 1226 2547 1225 2548 1227 2548 1229 2548 1230 2549 1229 2549 1227 2549 1230 2550 1227 2550 1228 2550 1231 2551 1232 2551 1226 2551 1233 2552 1226 2552 1232 2552 1225 2553 1231 2553 1226 2553 1233 2554 1228 2554 1226 2554 1234 2555 1235 2555 1232 2555 1236 2556 1232 2556 1235 2556 1237 2557 1234 2557 1232 2557 1231 2558 1237 2558 1232 2558 1233 2559 1232 2559 1236 2559 1234 2560 1238 2560 1235 2560 1239 2561 1235 2561 1238 2561 1236 2562 1235 2562 1239 2562 1240 2563 1229 2563 1238 2563 1241 2564 1238 2564 1229 2564 1234 2565 1242 2565 1238 2565 1243 2566 1238 2566 1242 2566 1243 2567 1240 2567 1238 2567 1239 2568 1238 2568 1241 2568 1244 2569 1225 2569 1229 2569 1240 2570 1244 2570 1229 2570 1241 2571 1229 2571 1230 2571 1245 2572 1246 2572 1247 2572 1248 2573 1247 2573 1246 2573 1249 2574 1247 2574 1250 2574 1251 2575 1250 2575 1247 2575 1249 2576 1245 2576 1247 2576 1251 2577 1247 2577 1248 2577 1245 2578 1252 2578 1246 2578 1253 2579 1246 2579 1252 2579 1253 2580 1248 2580 1246 2580 1254 2581 1255 2581 1252 2581 1256 2582 1252 2582 1255 2582 1245 2583 1257 2583 1252 2583 1258 2584 1252 2584 1257 2584 1258 2585 1254 2585 1252 2585 1253 2586 1252 2586 1256 2586 1259 2587 1260 2587 1255 2587 1261 2588 1255 2588 1260 2588 1254 2589 1259 2589 1255 2589 1256 2590 1255 2590 1261 2590 1262 2591 1250 2591 1260 2591 1263 2592 1260 2592 1250 2592 1264 2593 1260 2593 1259 2593 1264 2594 1262 2594 1260 2594 1261 2595 1260 2595 1263 2595 1265 2596 1249 2596 1250 2596 1262 2597 1265 2597 1250 2597 1263 2598 1250 2598 1251 2598 1225 2599 1266 2599 1267 2599 1268 2600 1267 2600 1266 2600 1269 2601 1267 2601 1270 2601 1271 2602 1270 2602 1267 2602 1272 2603 1225 2603 1267 2603 1273 2604 1272 2604 1267 2604 1269 2605 1273 2605 1267 2605 1271 2606 1267 2606 1268 2606 1225 2607 1274 2607 1266 2607 1275 2608 1266 2608 1274 2608 1275 2609 1268 2609 1266 2609 1276 2610 1277 2610 1274 2610 1278 2611 1274 2611 1277 2611 1279 2612 1274 2612 1225 2612 1279 2613 1276 2613 1274 2613 1275 2614 1274 2614 1278 2614 1242 2615 1280 2615 1277 2615 1281 2616 1277 2616 1280 2616 1276 2617 1242 2617 1277 2617 1278 2618 1277 2618 1281 2618 1242 2619 1270 2619 1280 2619 1282 2620 1280 2620 1270 2620 1281 2621 1280 2621 1282 2621 1269 2622 1270 2622 1242 2622 1282 2623 1270 2623 1271 2623 1249 2624 1283 2624 1284 2624 1285 2625 1284 2625 1283 2625 1286 2626 1284 2626 1287 2626 1288 2627 1287 2627 1284 2627 1286 2628 1249 2628 1284 2628 1288 2629 1284 2629 1285 2629 1249 2630 1289 2630 1283 2630 1290 2631 1283 2631 1289 2631 1290 2632 1285 2632 1283 2632 1291 2633 1292 2633 1289 2633 1293 2634 1289 2634 1292 2634 1294 2635 1289 2635 1249 2635 1294 2636 1291 2636 1289 2636 1290 2637 1289 2637 1293 2637 1259 2638 1295 2638 1292 2638 1296 2639 1292 2639 1295 2639 1291 2640 1259 2640 1292 2640 1293 2641 1292 2641 1296 2641 1259 2642 1287 2642 1295 2642 1297 2643 1295 2643 1287 2643 1296 2644 1295 2644 1297 2644 1298 2645 1286 2645 1287 2645 1299 2646 1287 2646 1259 2646 1299 2647 1298 2647 1287 2647 1297 2648 1287 2648 1288 2648 1300 2649 1301 2649 1302 2649 1303 2650 1302 2650 1301 2650 1300 2651 1302 2651 1304 2651 1305 2652 1304 2652 1302 2652 1303 2653 1305 2653 1302 2653 1300 2654 1306 2654 1301 2654 1307 2655 1301 2655 1306 2655 1307 2656 1303 2656 1301 2656 1308 2657 1309 2657 1306 2657 1310 2658 1306 2658 1309 2658 1311 2659 1308 2659 1306 2659 1300 2660 1311 2660 1306 2660 1307 2661 1306 2661 1310 2661 1312 2662 1313 2662 1309 2662 1314 2663 1309 2663 1313 2663 1312 2664 1309 2664 1308 2664 1310 2665 1309 2665 1314 2665 1315 2666 1304 2666 1313 2666 1316 2667 1313 2667 1304 2667 1315 2668 1313 2668 1312 2668 1316 2669 1314 2669 1313 2669 1317 2670 1300 2670 1304 2670 1315 2671 1317 2671 1304 2671 1305 2672 1316 2672 1304 2672 1318 2673 1308 2673 1311 2673 1319 2674 1312 2674 1308 2674 1318 2675 1319 2675 1308 2675 1300 2676 1320 2676 1311 2676 1321 2677 1311 2677 1320 2677 1321 2678 1318 2678 1311 2678 1322 2679 1323 2679 1320 2679 1324 2680 1320 2680 1323 2680 1325 2681 1322 2681 1320 2681 1300 2682 1325 2682 1320 2682 1321 2683 1320 2683 1324 2683 1326 2684 1327 2684 1323 2684 1328 2685 1323 2685 1327 2685 1326 2686 1323 2686 1322 2686 1324 2687 1323 2687 1328 2687 1315 2688 1312 2688 1327 2688 1329 2689 1327 2689 1312 2689 1315 2690 1327 2690 1326 2690 1329 2691 1328 2691 1327 2691 1319 2692 1329 2692 1312 2692 1330 2693 1322 2693 1325 2693 1331 2694 1326 2694 1322 2694 1330 2695 1331 2695 1322 2695 1300 2696 1332 2696 1325 2696 1333 2697 1325 2697 1332 2697 1333 2698 1330 2698 1325 2698 1315 2699 1334 2699 1332 2699 1335 2700 1332 2700 1334 2700 1336 2701 1332 2701 1300 2701 1336 2702 1315 2702 1332 2702 1333 2703 1332 2703 1335 2703 1315 2704 1337 2704 1334 2704 1338 2705 1334 2705 1337 2705 1335 2706 1334 2706 1338 2706 1315 2707 1326 2707 1337 2707 1339 2708 1337 2708 1326 2708 1339 2709 1338 2709 1337 2709 1331 2710 1339 2710 1326 2710 1231 2711 1257 2711 1340 2711 1341 2712 1340 2712 1257 2712 1231 2713 1340 2713 1237 2713 1342 2714 1237 2714 1340 2714 1342 2715 1340 2715 1341 2715 1343 2716 1257 2716 1245 2716 1231 2717 1258 2717 1257 2717 1341 2718 1257 2718 1343 2718 1344 2719 1245 2719 1249 2719 1343 2720 1245 2720 1344 2720 1345 2721 1249 2721 1286 2721 1346 2722 1347 2722 1249 2722 1294 2723 1249 2723 1347 2723 1265 2724 1346 2724 1249 2724 1344 2725 1249 2725 1345 2725 1348 2726 1349 2726 1286 2726 1350 2727 1286 2727 1349 2727 1351 2728 1352 2728 1286 2728 1348 2729 1286 2729 1352 2729 1298 2730 1351 2730 1286 2730 1345 2731 1286 2731 1350 2731 1259 2732 1353 2732 1349 2732 1354 2733 1349 2733 1353 2733 1355 2734 1259 2734 1349 2734 1348 2735 1355 2735 1349 2735 1350 2736 1349 2736 1354 2736 1356 2737 1357 2737 1353 2737 1358 2738 1353 2738 1357 2738 1356 2739 1353 2739 1259 2739 1354 2740 1353 2740 1358 2740 1359 2741 1360 2741 1357 2741 1361 2742 1357 2742 1360 2742 1356 2743 1359 2743 1357 2743 1358 2744 1357 2744 1361 2744 1362 2745 1242 2745 1360 2745 1363 2746 1360 2746 1242 2746 1364 2747 1360 2747 1359 2747 1365 2748 1362 2748 1360 2748 1366 2749 1365 2749 1360 2749 1364 2750 1366 2750 1360 2750 1361 2751 1360 2751 1363 2751 1367 2752 1242 2752 1234 2752 1368 2753 1243 2753 1242 2753 1276 2754 1368 2754 1242 2754 1362 2755 1269 2755 1242 2755 1363 2756 1242 2756 1367 2756 1369 2757 1234 2757 1237 2757 1367 2758 1234 2758 1369 2758 1342 2759 1369 2759 1237 2759 1370 2760 1259 2760 1254 2760 1371 2761 1356 2761 1259 2761 1372 2762 1264 2762 1259 2762 1291 2763 1372 2763 1259 2763 1373 2764 1299 2764 1259 2764 1374 2765 1373 2765 1259 2765 1355 2766 1374 2766 1259 2766 1371 2767 1259 2767 1370 2767 1375 2768 1254 2768 1258 2768 1370 2769 1254 2769 1375 2769 1376 2770 1377 2770 1258 2770 1378 2771 1258 2771 1377 2771 1231 2772 1376 2772 1258 2772 1375 2773 1258 2773 1378 2773 1379 2774 1377 2774 1376 2774 1378 2775 1377 2775 1379 2775 1380 2776 1376 2776 1231 2776 1379 2777 1376 2777 1380 2777 1381 2778 1231 2778 1225 2778 1380 2779 1231 2779 1381 2779 1272 2780 1359 2780 1225 2780 1382 2781 1225 2781 1359 2781 1383 2782 1384 2782 1225 2782 1279 2783 1225 2783 1384 2783 1244 2784 1383 2784 1225 2784 1381 2785 1225 2785 1382 2785 1356 2786 1385 2786 1359 2786 1386 2787 1359 2787 1385 2787 1387 2788 1359 2788 1272 2788 1387 2789 1364 2789 1359 2789 1382 2790 1359 2790 1386 2790 1388 2791 1389 2791 1385 2791 1390 2792 1385 2792 1389 2792 1391 2793 1388 2793 1385 2793 1392 2794 1391 2794 1385 2794 1356 2795 1392 2795 1385 2795 1386 2796 1385 2796 1390 2796 1393 2797 1389 2797 1388 2797 1390 2798 1389 2798 1393 2798 1394 2799 1395 2799 1388 2799 1396 2800 1388 2800 1395 2800 1391 2801 1394 2801 1388 2801 1393 2802 1388 2802 1396 2802 1336 2803 1300 2803 1395 2803 1397 2804 1395 2804 1300 2804 1394 2805 1336 2805 1395 2805 1396 2806 1395 2806 1397 2806 1398 2807 1300 2807 1317 2807 1397 2808 1300 2808 1398 2808 1399 2809 1317 2809 1315 2809 1398 2810 1317 2810 1399 2810 1400 2811 1315 2811 1336 2811 1399 2812 1315 2812 1400 2812 1401 2813 1336 2813 1394 2813 1400 2814 1336 2814 1401 2814 1402 2815 1394 2815 1391 2815 1401 2816 1394 2816 1402 2816 1403 2817 1391 2817 1392 2817 1402 2818 1391 2818 1403 2818 1404 2819 1392 2819 1356 2819 1403 2820 1392 2820 1404 2820 1371 2821 1404 2821 1356 2821 1405 2822 1384 2822 1383 2822 1406 2823 1279 2823 1384 2823 1406 2824 1384 2824 1405 2824 1407 2825 1383 2825 1244 2825 1407 2826 1405 2826 1383 2826 1408 2827 1244 2827 1240 2827 1407 2828 1244 2828 1408 2828 1409 2829 1240 2829 1243 2829 1408 2830 1240 2830 1409 2830 1410 2831 1243 2831 1368 2831 1409 2832 1243 2832 1410 2832 1411 2833 1368 2833 1276 2833 1410 2834 1368 2834 1411 2834 1412 2835 1276 2835 1279 2835 1411 2836 1276 2836 1412 2836 1412 2837 1279 2837 1406 2837 1413 2838 1347 2838 1346 2838 1414 2839 1294 2839 1347 2839 1414 2840 1347 2840 1413 2840 1415 2841 1346 2841 1265 2841 1415 2842 1413 2842 1346 2842 1416 2843 1265 2843 1262 2843 1415 2844 1265 2844 1416 2844 1417 2845 1262 2845 1264 2845 1416 2846 1262 2846 1417 2846 1418 2847 1264 2847 1372 2847 1417 2848 1264 2848 1418 2848 1419 2849 1372 2849 1291 2849 1418 2850 1372 2850 1419 2850 1420 2851 1291 2851 1294 2851 1419 2852 1291 2852 1420 2852 1420 2853 1294 2853 1414 2853 1421 2854 1272 2854 1273 2854 1422 2855 1387 2855 1272 2855 1422 2856 1272 2856 1421 2856 1423 2857 1273 2857 1269 2857 1423 2858 1421 2858 1273 2858 1424 2859 1269 2859 1362 2859 1423 2860 1269 2860 1424 2860 1425 2861 1362 2861 1365 2861 1424 2862 1362 2862 1425 2862 1426 2863 1365 2863 1366 2863 1425 2864 1365 2864 1426 2864 1427 2865 1366 2865 1364 2865 1426 2866 1366 2866 1427 2866 1428 2867 1364 2867 1387 2867 1427 2868 1364 2868 1428 2868 1428 2869 1387 2869 1422 2869 1429 2870 1352 2870 1351 2870 1430 2871 1348 2871 1352 2871 1430 2872 1352 2872 1429 2872 1431 2873 1351 2873 1298 2873 1431 2874 1429 2874 1351 2874 1432 2875 1298 2875 1299 2875 1431 2876 1298 2876 1432 2876 1433 2877 1299 2877 1373 2877 1432 2878 1299 2878 1433 2878 1434 2879 1373 2879 1374 2879 1433 2880 1373 2880 1434 2880 1435 2881 1374 2881 1355 2881 1434 2882 1374 2882 1435 2882 1436 2883 1355 2883 1348 2883 1435 2884 1355 2884 1436 2884 1436 2885 1348 2885 1430 2885 1386 2886 1230 2886 1228 2886 1382 2887 1228 2887 1233 2887 1382 2888 1386 2888 1228 2888 1407 2889 1241 2889 1230 2889 1405 2890 1230 2890 1386 2890 1407 2891 1230 2891 1405 2891 1248 2892 1239 2892 1241 2892 1251 2893 1248 2893 1241 2893 1408 2894 1251 2894 1241 2894 1407 2895 1408 2895 1241 2895 1253 2896 1236 2896 1239 2896 1253 2897 1239 2897 1248 2897 1236 2898 1253 2898 1378 2898 1378 2899 1233 2899 1236 2899 1381 2900 1382 2900 1233 2900 1378 2901 1381 2901 1233 2901 1408 2902 1263 2902 1251 2902 1375 2903 1261 2903 1263 2903 1416 2904 1375 2904 1263 2904 1416 2905 1263 2905 1408 2905 1375 2906 1256 2906 1261 2906 1378 2907 1253 2907 1256 2907 1375 2908 1378 2908 1256 2908 1386 2909 1271 2909 1268 2909 1412 2910 1268 2910 1275 2910 1412 2911 1386 2911 1268 2911 1386 2912 1282 2912 1271 2912 1285 2913 1281 2913 1282 2913 1288 2914 1285 2914 1282 2914 1424 2915 1288 2915 1282 2915 1423 2916 1282 2916 1386 2916 1423 2917 1424 2917 1282 2917 1290 2918 1278 2918 1281 2918 1290 2919 1281 2919 1285 2919 1420 2920 1275 2920 1278 2920 1420 2921 1278 2921 1290 2921 1420 2922 1412 2922 1275 2922 1424 2923 1297 2923 1288 2923 1432 2924 1296 2924 1297 2924 1432 2925 1297 2925 1424 2925 1375 2926 1293 2926 1296 2926 1434 2927 1375 2927 1296 2927 1433 2928 1434 2928 1296 2928 1432 2929 1433 2929 1296 2929 1375 2930 1290 2930 1293 2930 1419 2931 1290 2931 1375 2931 1419 2932 1420 2932 1290 2932 1399 2933 1437 2933 1438 2933 1439 2934 1438 2934 1437 2934 1398 2935 1438 2935 1440 2935 1441 2936 1440 2936 1438 2936 1398 2937 1399 2937 1438 2937 1441 2938 1438 2938 1439 2938 1399 2939 1442 2939 1437 2939 1443 2940 1437 2940 1442 2940 1443 2941 1439 2941 1437 2941 1444 2942 1445 2942 1442 2942 1446 2943 1442 2943 1445 2943 1447 2944 1444 2944 1442 2944 1399 2945 1447 2945 1442 2945 1443 2946 1442 2946 1446 2946 1448 2947 1449 2947 1445 2947 1450 2948 1445 2948 1449 2948 1448 2949 1445 2949 1444 2949 1446 2950 1445 2950 1450 2950 1401 2951 1440 2951 1449 2951 1451 2952 1449 2952 1440 2952 1401 2953 1449 2953 1448 2953 1450 2954 1449 2954 1451 2954 1398 2955 1440 2955 1401 2955 1451 2956 1440 2956 1441 2956 1452 2957 1444 2957 1447 2957 1453 2958 1448 2958 1444 2958 1453 2959 1444 2959 1452 2959 1399 2960 1454 2960 1447 2960 1455 2961 1447 2961 1454 2961 1455 2962 1452 2962 1447 2962 1456 2963 1457 2963 1454 2963 1458 2964 1454 2964 1457 2964 1459 2965 1456 2965 1454 2965 1399 2966 1459 2966 1454 2966 1455 2967 1454 2967 1458 2967 1460 2968 1461 2968 1457 2968 1462 2969 1457 2969 1461 2969 1460 2970 1457 2970 1456 2970 1458 2971 1457 2971 1462 2971 1401 2972 1448 2972 1461 2972 1463 2973 1461 2973 1448 2973 1401 2974 1461 2974 1460 2974 1462 2975 1461 2975 1463 2975 1463 2976 1448 2976 1453 2976 1464 2977 1456 2977 1459 2977 1465 2978 1460 2978 1456 2978 1465 2979 1456 2979 1464 2979 1399 2980 1466 2980 1459 2980 1467 2981 1459 2981 1466 2981 1467 2982 1464 2982 1459 2982 1400 2983 1468 2983 1466 2983 1469 2984 1466 2984 1468 2984 1399 2985 1400 2985 1466 2985 1467 2986 1466 2986 1469 2986 1401 2987 1470 2987 1468 2987 1471 2988 1468 2988 1470 2988 1400 2989 1401 2989 1468 2989 1469 2990 1468 2990 1471 2990 1401 2991 1460 2991 1470 2991 1472 2992 1470 2992 1460 2992 1471 2993 1470 2993 1472 2993 1472 2994 1460 2994 1465 2994 1371 2995 1403 2995 1404 2995 1397 2996 1402 2996 1403 2996 1396 2997 1397 2997 1403 2997 1371 2998 1396 2998 1403 2998 1398 2999 1401 2999 1402 2999 1397 3000 1398 3000 1402 3000 1371 3001 1393 3001 1396 3001 1371 3002 1390 3002 1393 3002 1370 3003 1386 3003 1390 3003 1371 3004 1370 3004 1390 3004 1436 3005 1386 3005 1370 3005 1406 3006 1405 3006 1386 3006 1412 3007 1406 3007 1386 3007 1422 3008 1421 3008 1386 3008 1423 3009 1386 3009 1421 3009 1428 3010 1422 3010 1386 3010 1436 3011 1428 3011 1386 3011 1379 3012 1380 3012 1381 3012 1378 3013 1379 3013 1381 3013 1434 3014 1370 3014 1375 3014 1418 3015 1419 3015 1375 3015 1417 3016 1418 3016 1375 3016 1416 3017 1417 3017 1375 3017 1435 3018 1436 3018 1370 3018 1434 3019 1435 3019 1370 3019 1414 3020 1411 3020 1412 3020 1420 3021 1414 3021 1412 3021 1413 3022 1410 3022 1411 3022 1414 3023 1413 3023 1411 3023 1415 3024 1409 3024 1410 3024 1415 3025 1410 3025 1413 3025 1416 3026 1408 3026 1409 3026 1415 3027 1416 3027 1409 3027 1430 3028 1427 3028 1428 3028 1436 3029 1430 3029 1428 3029 1429 3030 1426 3030 1427 3030 1430 3031 1429 3031 1427 3031 1431 3032 1425 3032 1426 3032 1431 3033 1426 3033 1429 3033 1432 3034 1424 3034 1425 3034 1431 3035 1432 3035 1425 3035 1450 3036 1314 3036 1316 3036 1450 3037 1451 3037 1314 3037 1310 3038 1314 3038 1451 3038 1443 3039 1316 3039 1305 3039 1446 3040 1450 3040 1316 3040 1443 3041 1446 3041 1316 3041 1443 3042 1305 3042 1303 3042 1443 3043 1303 3043 1439 3043 1307 3044 1439 3044 1303 3044 1307 3045 1441 3045 1439 3045 1307 3046 1451 3046 1441 3046 1307 3047 1310 3047 1451 3047 1462 3048 1328 3048 1329 3048 1462 3049 1463 3049 1328 3049 1324 3050 1328 3050 1463 3050 1455 3051 1329 3051 1319 3051 1458 3052 1462 3052 1329 3052 1455 3053 1458 3053 1329 3053 1455 3054 1319 3054 1318 3054 1455 3055 1318 3055 1452 3055 1321 3056 1452 3056 1318 3056 1321 3057 1453 3057 1452 3057 1321 3058 1463 3058 1453 3058 1321 3059 1324 3059 1463 3059 1471 3060 1338 3060 1339 3060 1471 3061 1472 3061 1338 3061 1335 3062 1338 3062 1472 3062 1467 3063 1339 3063 1331 3063 1469 3064 1471 3064 1339 3064 1467 3065 1469 3065 1339 3065 1467 3066 1331 3066 1330 3066 1467 3067 1330 3067 1464 3067 1333 3068 1464 3068 1330 3068 1333 3069 1465 3069 1464 3069 1333 3070 1472 3070 1465 3070 1333 3071 1335 3071 1472 3071 1350 3072 1367 3072 1369 3072 1345 3073 1350 3073 1369 3073 1342 3074 1345 3074 1369 3074 1354 3075 1363 3075 1367 3075 1350 3076 1354 3076 1367 3076 1358 3077 1361 3077 1363 3077 1354 3078 1358 3078 1363 3078 1342 3079 1344 3079 1345 3079 1341 3080 1343 3080 1344 3080 1342 3081 1341 3081 1344 3081 1473 3082 1151 3082 1474 3082 1069 3083 1474 3083 1151 3083 1475 3084 1473 3084 1474 3084 1476 3085 1475 3085 1474 3085 1069 3086 1476 3086 1474 3086 1473 3087 1152 3087 1151 3087 1069 3088 1151 3088 1152 3088 1475 3089 1152 3089 1473 3089 1475 3090 1067 3090 1152 3090 1069 3091 1152 3091 1067 3091 1477 3092 1478 3092 1479 3092 1480 3093 1479 3093 1478 3093 1481 3094 1477 3094 1479 3094 1482 3095 1481 3095 1479 3095 1483 3096 1479 3096 1484 3096 1480 3097 1484 3097 1479 3097 1483 3098 1485 3098 1479 3098 1482 3099 1479 3099 1485 3099 1486 3100 1478 3100 1477 3100 1480 3101 1478 3101 1487 3101 1488 3102 1487 3102 1478 3102 1488 3103 1478 3103 1489 3103 1490 3104 1489 3104 1478 3104 1491 3105 1490 3105 1478 3105 1492 3106 1491 3106 1478 3106 1486 3107 1492 3107 1478 3107 1493 3108 1477 3108 1481 3108 1494 3109 1477 3109 1493 3109 1494 3110 1486 3110 1477 3110 1495 3111 1481 3111 1482 3111 1493 3112 1481 3112 1496 3112 1495 3113 1496 3113 1481 3113 1497 3114 1498 3114 1067 3114 1499 3115 1067 3115 1498 3115 1475 3116 1497 3116 1067 3116 1500 3117 1069 3117 1067 3117 1499 3118 1501 3118 1067 3118 1502 3119 1067 3119 1501 3119 1502 3120 1503 3120 1067 3120 1504 3121 1067 3121 1503 3121 1504 3122 1500 3122 1067 3122 1505 3123 1506 3123 1498 3123 1507 3124 1498 3124 1506 3124 1508 3125 1505 3125 1498 3125 1497 3126 1508 3126 1498 3126 1509 3127 1498 3127 1510 3127 1511 3128 1510 3128 1498 3128 1509 3129 1499 3129 1498 3129 1512 3130 1513 3130 1498 3130 1514 3131 1498 3131 1513 3131 1507 3132 1512 3132 1498 3132 1515 3133 1511 3133 1498 3133 1514 3134 1515 3134 1498 3134 1494 3135 1506 3135 1505 3135 1494 3136 1507 3136 1506 3136 1486 3137 1505 3137 1508 3137 1494 3138 1505 3138 1486 3138 1492 3139 1508 3139 1497 3139 1486 3140 1508 3140 1492 3140 1516 3141 1497 3141 1475 3141 1492 3142 1497 3142 1516 3142 1517 3143 1516 3143 1475 3143 1518 3144 1517 3144 1475 3144 1476 3145 1518 3145 1475 3145 1519 3146 1520 3146 1484 3146 1521 3147 1484 3147 1520 3147 1522 3148 1483 3148 1484 3148 1523 3149 1484 3149 1480 3149 1523 3150 1519 3150 1484 3150 1524 3151 1484 3151 1521 3151 1522 3152 1484 3152 1524 3152 1525 3153 1485 3153 1520 3153 1526 3154 1520 3154 1485 3154 1519 3155 1525 3155 1520 3155 1527 3156 1520 3156 1526 3156 1521 3157 1520 3157 1527 3157 1528 3158 1485 3158 1483 3158 1476 3159 1485 3159 1525 3159 1482 3160 1485 3160 1476 3160 1529 3161 1485 3161 1528 3161 1526 3162 1485 3162 1529 3162 1530 3163 1528 3163 1483 3163 1530 3164 1483 3164 1522 3164 1531 3165 1532 3165 1487 3165 1533 3166 1487 3166 1532 3166 1534 3167 1480 3167 1487 3167 1488 3168 1531 3168 1487 3168 1535 3169 1487 3169 1533 3169 1534 3170 1487 3170 1535 3170 1523 3171 1536 3171 1532 3171 1537 3172 1532 3172 1536 3172 1523 3173 1532 3173 1531 3173 1538 3174 1532 3174 1537 3174 1533 3175 1532 3175 1538 3175 1523 3176 1480 3176 1536 3176 1539 3177 1536 3177 1480 3177 1540 3178 1536 3178 1539 3178 1537 3179 1536 3179 1540 3179 1541 3180 1539 3180 1480 3180 1541 3181 1480 3181 1534 3181 1542 3182 1543 3182 1489 3182 1544 3183 1489 3183 1543 3183 1545 3184 1488 3184 1489 3184 1542 3185 1489 3185 1490 3185 1546 3186 1489 3186 1544 3186 1545 3187 1489 3187 1546 3187 1523 3188 1531 3188 1543 3188 1547 3189 1543 3189 1531 3189 1542 3190 1523 3190 1543 3190 1548 3191 1543 3191 1547 3191 1544 3192 1543 3192 1548 3192 1549 3193 1531 3193 1488 3193 1550 3194 1531 3194 1549 3194 1547 3195 1531 3195 1550 3195 1551 3196 1549 3196 1488 3196 1551 3197 1488 3197 1545 3197 1552 3198 1553 3198 1554 3198 1555 3199 1554 3199 1553 3199 1492 3200 1554 3200 1491 3200 1556 3201 1491 3201 1554 3201 1516 3202 1552 3202 1554 3202 1492 3203 1516 3203 1554 3203 1557 3204 1554 3204 1555 3204 1556 3205 1554 3205 1557 3205 1558 3206 1490 3206 1553 3206 1559 3207 1553 3207 1490 3207 1552 3208 1558 3208 1553 3208 1560 3209 1553 3209 1559 3209 1555 3210 1553 3210 1560 3210 1561 3211 1490 3211 1491 3211 1558 3212 1542 3212 1490 3212 1562 3213 1490 3213 1561 3213 1559 3214 1490 3214 1562 3214 1563 3215 1561 3215 1491 3215 1563 3216 1491 3216 1556 3216 1476 3217 1525 3217 1564 3217 1565 3218 1564 3218 1525 3218 1476 3219 1564 3219 1566 3219 1567 3220 1566 3220 1564 3220 1567 3221 1564 3221 1565 3221 1568 3222 1525 3222 1519 3222 1565 3223 1525 3223 1568 3223 1569 3224 1519 3224 1523 3224 1568 3225 1519 3225 1569 3225 1570 3226 1523 3226 1542 3226 1569 3227 1523 3227 1570 3227 1571 3228 1542 3228 1558 3228 1570 3229 1542 3229 1571 3229 1572 3230 1558 3230 1552 3230 1571 3231 1558 3231 1572 3231 1573 3232 1552 3232 1516 3232 1572 3233 1552 3233 1573 3233 1574 3234 1516 3234 1517 3234 1573 3235 1516 3235 1574 3235 1575 3236 1517 3236 1518 3236 1574 3237 1517 3237 1575 3237 1476 3238 1576 3238 1518 3238 1577 3239 1518 3239 1576 3239 1575 3240 1518 3240 1577 3240 1476 3241 1566 3241 1576 3241 1578 3242 1576 3242 1566 3242 1577 3243 1576 3243 1578 3243 1567 3244 1578 3244 1566 3244 1579 3245 1482 3245 1476 3245 1069 3246 1579 3246 1476 3246 1495 3247 1482 3247 1579 3247 1069 3248 1580 3248 1579 3248 1495 3249 1579 3249 1580 3249 1581 3250 1582 3250 1580 3250 1583 3251 1580 3251 1582 3251 1069 3252 1581 3252 1580 3252 1495 3253 1580 3253 1583 3253 1584 3254 1582 3254 1581 3254 1583 3255 1582 3255 1584 3255 1069 3256 1510 3256 1581 3256 1585 3257 1581 3257 1510 3257 1584 3258 1581 3258 1585 3258 1586 3259 1510 3259 1069 3259 1509 3260 1510 3260 1587 3260 1588 3261 1587 3261 1510 3261 1588 3262 1510 3262 1589 3262 1504 3263 1589 3263 1510 3263 1590 3264 1510 3264 1586 3264 1590 3265 1504 3265 1510 3265 1591 3266 1585 3266 1510 3266 1511 3267 1591 3267 1510 3267 1500 3268 1586 3268 1069 3268 1529 3269 1528 3269 1592 3269 1530 3270 1592 3270 1528 3270 1526 3271 1529 3271 1592 3271 1527 3272 1526 3272 1592 3272 1521 3273 1527 3273 1592 3273 1524 3274 1521 3274 1592 3274 1522 3275 1524 3275 1592 3275 1530 3276 1522 3276 1592 3276 1540 3277 1539 3277 1593 3277 1541 3278 1593 3278 1539 3278 1537 3279 1540 3279 1593 3279 1538 3280 1537 3280 1593 3280 1533 3281 1538 3281 1593 3281 1535 3282 1533 3282 1593 3282 1534 3283 1535 3283 1593 3283 1541 3284 1534 3284 1593 3284 1550 3285 1549 3285 1594 3285 1551 3286 1594 3286 1549 3286 1547 3287 1550 3287 1594 3287 1548 3288 1547 3288 1594 3288 1544 3289 1548 3289 1594 3289 1546 3290 1544 3290 1594 3290 1545 3291 1546 3291 1594 3291 1551 3292 1545 3292 1594 3292 1562 3293 1561 3293 1595 3293 1563 3294 1595 3294 1561 3294 1559 3295 1562 3295 1595 3295 1560 3296 1559 3296 1595 3296 1555 3297 1560 3297 1595 3297 1557 3298 1555 3298 1595 3298 1556 3299 1557 3299 1595 3299 1563 3300 1556 3300 1595 3300 1502 3301 1501 3301 1587 3301 1596 3302 1587 3302 1501 3302 1597 3303 1509 3303 1587 3303 1588 3304 1502 3304 1587 3304 1598 3305 1587 3305 1596 3305 1597 3306 1587 3306 1598 3306 1599 3307 1501 3307 1499 3307 1600 3308 1501 3308 1599 3308 1596 3309 1501 3309 1600 3309 1601 3310 1499 3310 1509 3310 1602 3311 1499 3311 1601 3311 1599 3312 1499 3312 1602 3312 1603 3313 1601 3313 1509 3313 1603 3314 1509 3314 1597 3314 1504 3315 1503 3315 1589 3315 1604 3316 1589 3316 1503 3316 1605 3317 1588 3317 1589 3317 1606 3318 1589 3318 1604 3318 1605 3319 1589 3319 1606 3319 1607 3320 1503 3320 1502 3320 1608 3321 1503 3321 1607 3321 1604 3322 1503 3322 1608 3322 1609 3323 1502 3323 1588 3323 1610 3324 1502 3324 1609 3324 1607 3325 1502 3325 1610 3325 1611 3326 1609 3326 1588 3326 1611 3327 1588 3327 1605 3327 1612 3328 1586 3328 1500 3328 1613 3329 1590 3329 1586 3329 1614 3330 1586 3330 1612 3330 1613 3331 1586 3331 1614 3331 1615 3332 1500 3332 1504 3332 1616 3333 1500 3333 1615 3333 1612 3334 1500 3334 1616 3334 1617 3335 1504 3335 1590 3335 1618 3336 1504 3336 1617 3336 1615 3337 1504 3337 1618 3337 1619 3338 1617 3338 1590 3338 1619 3339 1590 3339 1613 3339 1602 3340 1601 3340 1620 3340 1603 3341 1620 3341 1601 3341 1599 3342 1602 3342 1620 3342 1600 3343 1599 3343 1620 3343 1596 3344 1600 3344 1620 3344 1598 3345 1596 3345 1620 3345 1597 3346 1598 3346 1620 3346 1603 3347 1597 3347 1620 3347 1610 3348 1609 3348 1621 3348 1611 3349 1621 3349 1609 3349 1607 3350 1610 3350 1621 3350 1608 3351 1607 3351 1621 3351 1604 3352 1608 3352 1621 3352 1606 3353 1604 3353 1621 3353 1605 3354 1606 3354 1621 3354 1611 3355 1605 3355 1621 3355 1618 3356 1617 3356 1622 3356 1619 3357 1622 3357 1617 3357 1615 3358 1618 3358 1622 3358 1616 3359 1615 3359 1622 3359 1612 3360 1616 3360 1622 3360 1614 3361 1612 3361 1622 3361 1613 3362 1614 3362 1622 3362 1619 3363 1613 3363 1622 3363 1623 3364 1513 3364 1512 3364 1624 3365 1514 3365 1513 3365 1624 3366 1513 3366 1623 3366 1625 3367 1626 3367 1512 3367 1627 3368 1512 3368 1626 3368 1507 3369 1625 3369 1512 3369 1623 3370 1512 3370 1627 3370 1625 3371 1628 3371 1626 3371 1629 3372 1626 3372 1628 3372 1627 3373 1626 3373 1629 3373 1630 3374 1631 3374 1628 3374 1632 3375 1628 3375 1631 3375 1625 3376 1630 3376 1628 3376 1629 3377 1628 3377 1632 3377 1630 3378 1633 3378 1631 3378 1634 3379 1631 3379 1633 3379 1632 3380 1631 3380 1634 3380 1630 3381 1635 3381 1633 3381 1636 3382 1633 3382 1635 3382 1634 3383 1633 3383 1636 3383 1584 3384 1585 3384 1635 3384 1637 3385 1635 3385 1585 3385 1584 3386 1635 3386 1630 3386 1636 3387 1635 3387 1637 3387 1638 3388 1585 3388 1591 3388 1637 3389 1585 3389 1638 3389 1639 3390 1591 3390 1511 3390 1638 3391 1591 3391 1639 3391 1640 3392 1511 3392 1515 3392 1639 3393 1511 3393 1640 3393 1641 3394 1515 3394 1514 3394 1640 3395 1515 3395 1641 3395 1624 3396 1641 3396 1514 3396 1496 3397 1630 3397 1625 3397 1583 3398 1584 3398 1630 3398 1583 3399 1630 3399 1496 3399 1493 3400 1625 3400 1507 3400 1493 3401 1496 3401 1625 3401 1494 3402 1493 3402 1507 3402 1495 3403 1583 3403 1496 3403 1571 3404 1577 3404 1578 3404 1570 3405 1571 3405 1578 3405 1567 3406 1570 3406 1578 3406 1572 3407 1575 3407 1577 3407 1571 3408 1572 3408 1577 3408 1573 3409 1574 3409 1575 3409 1572 3410 1573 3410 1575 3410 1567 3411 1569 3411 1570 3411 1565 3412 1568 3412 1569 3412 1567 3413 1565 3413 1569 3413 1634 3414 1640 3414 1641 3414 1632 3415 1634 3415 1641 3415 1624 3416 1632 3416 1641 3416 1636 3417 1639 3417 1640 3417 1634 3418 1636 3418 1640 3418 1637 3419 1638 3419 1639 3419 1636 3420 1637 3420 1639 3420 1624 3421 1629 3421 1632 3421 1623 3422 1627 3422 1629 3422 1624 3423 1623 3423 1629 3423 1642 3424 1399 3424 1643 3424 1317 3425 1643 3425 1399 3425 1644 3426 1642 3426 1643 3426 1645 3427 1644 3427 1643 3427 1317 3428 1645 3428 1643 3428 1642 3429 1400 3429 1399 3429 1317 3430 1399 3430 1400 3430 1644 3431 1400 3431 1642 3431 1644 3432 1315 3432 1400 3432 1317 3433 1400 3433 1315 3433 1646 3434 1647 3434 1648 3434 1649 3435 1648 3435 1647 3435 1650 3436 1646 3436 1648 3436 1651 3437 1650 3437 1648 3437 1652 3438 1648 3438 1653 3438 1649 3439 1653 3439 1648 3439 1652 3440 1654 3440 1648 3440 1651 3441 1648 3441 1654 3441 1655 3442 1647 3442 1646 3442 1649 3443 1647 3443 1656 3443 1657 3444 1656 3444 1647 3444 1657 3445 1647 3445 1658 3445 1659 3446 1658 3446 1647 3446 1660 3447 1659 3447 1647 3447 1661 3448 1660 3448 1647 3448 1655 3449 1661 3449 1647 3449 1662 3450 1646 3450 1650 3450 1663 3451 1646 3451 1662 3451 1663 3452 1655 3452 1646 3452 1664 3453 1650 3453 1651 3453 1662 3454 1650 3454 1665 3454 1664 3455 1665 3455 1650 3455 1666 3456 1667 3456 1315 3456 1668 3457 1315 3457 1667 3457 1644 3458 1666 3458 1315 3458 1669 3459 1317 3459 1315 3459 1668 3460 1670 3460 1315 3460 1671 3461 1315 3461 1670 3461 1671 3462 1672 3462 1315 3462 1673 3463 1315 3463 1672 3463 1673 3464 1669 3464 1315 3464 1674 3465 1675 3465 1667 3465 1676 3466 1667 3466 1675 3466 1677 3467 1674 3467 1667 3467 1666 3468 1677 3468 1667 3468 1678 3469 1667 3469 1679 3469 1680 3470 1679 3470 1667 3470 1678 3471 1668 3471 1667 3471 1681 3472 1682 3472 1667 3472 1683 3473 1667 3473 1682 3473 1676 3474 1681 3474 1667 3474 1684 3475 1680 3475 1667 3475 1683 3476 1684 3476 1667 3476 1663 3477 1675 3477 1674 3477 1663 3478 1676 3478 1675 3478 1655 3479 1674 3479 1677 3479 1663 3480 1674 3480 1655 3480 1661 3481 1677 3481 1666 3481 1655 3482 1677 3482 1661 3482 1685 3483 1666 3483 1644 3483 1661 3484 1666 3484 1685 3484 1686 3485 1685 3485 1644 3485 1687 3486 1686 3486 1644 3486 1645 3487 1687 3487 1644 3487 1688 3488 1689 3488 1653 3488 1690 3489 1653 3489 1689 3489 1691 3490 1652 3490 1653 3490 1692 3491 1653 3491 1649 3491 1692 3492 1688 3492 1653 3492 1693 3493 1653 3493 1690 3493 1691 3494 1653 3494 1693 3494 1694 3495 1654 3495 1689 3495 1695 3496 1689 3496 1654 3496 1688 3497 1694 3497 1689 3497 1696 3498 1689 3498 1695 3498 1690 3499 1689 3499 1696 3499 1697 3500 1654 3500 1652 3500 1645 3501 1654 3501 1694 3501 1651 3502 1654 3502 1645 3502 1698 3503 1654 3503 1697 3503 1695 3504 1654 3504 1698 3504 1699 3505 1697 3505 1652 3505 1699 3506 1652 3506 1691 3506 1700 3507 1701 3507 1656 3507 1702 3508 1656 3508 1701 3508 1703 3509 1649 3509 1656 3509 1657 3510 1700 3510 1656 3510 1704 3511 1656 3511 1702 3511 1703 3512 1656 3512 1704 3512 1692 3513 1705 3513 1701 3513 1706 3514 1701 3514 1705 3514 1692 3515 1701 3515 1700 3515 1707 3516 1701 3516 1706 3516 1702 3517 1701 3517 1707 3517 1692 3518 1649 3518 1705 3518 1708 3519 1705 3519 1649 3519 1709 3520 1705 3520 1708 3520 1706 3521 1705 3521 1709 3521 1710 3522 1708 3522 1649 3522 1710 3523 1649 3523 1703 3523 1711 3524 1712 3524 1658 3524 1713 3525 1658 3525 1712 3525 1714 3526 1657 3526 1658 3526 1711 3527 1658 3527 1659 3527 1715 3528 1658 3528 1713 3528 1714 3529 1658 3529 1715 3529 1692 3530 1700 3530 1712 3530 1716 3531 1712 3531 1700 3531 1711 3532 1692 3532 1712 3532 1717 3533 1712 3533 1716 3533 1713 3534 1712 3534 1717 3534 1718 3535 1700 3535 1657 3535 1719 3536 1700 3536 1718 3536 1716 3537 1700 3537 1719 3537 1720 3538 1718 3538 1657 3538 1720 3539 1657 3539 1714 3539 1721 3540 1722 3540 1723 3540 1724 3541 1723 3541 1722 3541 1661 3542 1723 3542 1660 3542 1725 3543 1660 3543 1723 3543 1685 3544 1721 3544 1723 3544 1661 3545 1685 3545 1723 3545 1726 3546 1723 3546 1724 3546 1725 3547 1723 3547 1726 3547 1727 3548 1659 3548 1722 3548 1728 3549 1722 3549 1659 3549 1721 3550 1727 3550 1722 3550 1729 3551 1722 3551 1728 3551 1724 3552 1722 3552 1729 3552 1730 3553 1659 3553 1660 3553 1727 3554 1711 3554 1659 3554 1731 3555 1659 3555 1730 3555 1728 3556 1659 3556 1731 3556 1732 3557 1730 3557 1660 3557 1732 3558 1660 3558 1725 3558 1645 3559 1694 3559 1733 3559 1734 3560 1733 3560 1694 3560 1645 3561 1733 3561 1735 3561 1736 3562 1735 3562 1733 3562 1736 3563 1733 3563 1734 3563 1737 3564 1694 3564 1688 3564 1734 3565 1694 3565 1737 3565 1738 3566 1688 3566 1692 3566 1737 3567 1688 3567 1738 3567 1739 3568 1692 3568 1711 3568 1738 3569 1692 3569 1739 3569 1740 3570 1711 3570 1727 3570 1739 3571 1711 3571 1740 3571 1741 3572 1727 3572 1721 3572 1740 3573 1727 3573 1741 3573 1742 3574 1721 3574 1685 3574 1741 3575 1721 3575 1742 3575 1743 3576 1685 3576 1686 3576 1742 3577 1685 3577 1743 3577 1744 3578 1686 3578 1687 3578 1743 3579 1686 3579 1744 3579 1645 3580 1745 3580 1687 3580 1746 3581 1687 3581 1745 3581 1744 3582 1687 3582 1746 3582 1645 3583 1735 3583 1745 3583 1747 3584 1745 3584 1735 3584 1746 3585 1745 3585 1747 3585 1736 3586 1747 3586 1735 3586 1748 3587 1651 3587 1645 3587 1317 3588 1748 3588 1645 3588 1664 3589 1651 3589 1748 3589 1317 3590 1749 3590 1748 3590 1664 3591 1748 3591 1749 3591 1750 3592 1751 3592 1749 3592 1752 3593 1749 3593 1751 3593 1317 3594 1750 3594 1749 3594 1664 3595 1749 3595 1752 3595 1753 3596 1751 3596 1750 3596 1752 3597 1751 3597 1753 3597 1317 3598 1679 3598 1750 3598 1754 3599 1750 3599 1679 3599 1753 3600 1750 3600 1754 3600 1755 3601 1679 3601 1317 3601 1678 3602 1679 3602 1756 3602 1757 3603 1756 3603 1679 3603 1757 3604 1679 3604 1758 3604 1673 3605 1758 3605 1679 3605 1759 3606 1679 3606 1755 3606 1759 3607 1673 3607 1679 3607 1760 3608 1754 3608 1679 3608 1680 3609 1760 3609 1679 3609 1669 3610 1755 3610 1317 3610 1698 3611 1697 3611 1761 3611 1699 3612 1761 3612 1697 3612 1695 3613 1698 3613 1761 3613 1696 3614 1695 3614 1761 3614 1690 3615 1696 3615 1761 3615 1693 3616 1690 3616 1761 3616 1691 3617 1693 3617 1761 3617 1699 3618 1691 3618 1761 3618 1709 3619 1708 3619 1762 3619 1710 3620 1762 3620 1708 3620 1706 3621 1709 3621 1762 3621 1707 3622 1706 3622 1762 3622 1702 3623 1707 3623 1762 3623 1704 3624 1702 3624 1762 3624 1703 3625 1704 3625 1762 3625 1710 3626 1703 3626 1762 3626 1719 3627 1718 3627 1763 3627 1720 3628 1763 3628 1718 3628 1716 3629 1719 3629 1763 3629 1717 3630 1716 3630 1763 3630 1713 3631 1717 3631 1763 3631 1715 3632 1713 3632 1763 3632 1714 3633 1715 3633 1763 3633 1720 3634 1714 3634 1763 3634 1731 3635 1730 3635 1764 3635 1732 3636 1764 3636 1730 3636 1728 3637 1731 3637 1764 3637 1729 3638 1728 3638 1764 3638 1724 3639 1729 3639 1764 3639 1726 3640 1724 3640 1764 3640 1725 3641 1726 3641 1764 3641 1732 3642 1725 3642 1764 3642 1671 3643 1670 3643 1756 3643 1765 3644 1756 3644 1670 3644 1766 3645 1678 3645 1756 3645 1757 3646 1671 3646 1756 3646 1767 3647 1756 3647 1765 3647 1766 3648 1756 3648 1767 3648 1768 3649 1670 3649 1668 3649 1769 3650 1670 3650 1768 3650 1765 3651 1670 3651 1769 3651 1770 3652 1668 3652 1678 3652 1771 3653 1668 3653 1770 3653 1768 3654 1668 3654 1771 3654 1772 3655 1770 3655 1678 3655 1772 3656 1678 3656 1766 3656 1673 3657 1672 3657 1758 3657 1773 3658 1758 3658 1672 3658 1774 3659 1757 3659 1758 3659 1775 3660 1758 3660 1773 3660 1774 3661 1758 3661 1775 3661 1776 3662 1672 3662 1671 3662 1777 3663 1672 3663 1776 3663 1773 3664 1672 3664 1777 3664 1778 3665 1671 3665 1757 3665 1779 3666 1671 3666 1778 3666 1776 3667 1671 3667 1779 3667 1780 3668 1778 3668 1757 3668 1780 3669 1757 3669 1774 3669 1781 3670 1755 3670 1669 3670 1782 3671 1759 3671 1755 3671 1783 3672 1755 3672 1781 3672 1782 3673 1755 3673 1783 3673 1784 3674 1669 3674 1673 3674 1785 3675 1669 3675 1784 3675 1781 3676 1669 3676 1785 3676 1786 3677 1673 3677 1759 3677 1787 3678 1673 3678 1786 3678 1784 3679 1673 3679 1787 3679 1788 3680 1786 3680 1759 3680 1788 3681 1759 3681 1782 3681 1771 3682 1770 3682 1789 3682 1772 3683 1789 3683 1770 3683 1768 3684 1771 3684 1789 3684 1769 3685 1768 3685 1789 3685 1765 3686 1769 3686 1789 3686 1767 3687 1765 3687 1789 3687 1766 3688 1767 3688 1789 3688 1772 3689 1766 3689 1789 3689 1779 3690 1778 3690 1790 3690 1780 3691 1790 3691 1778 3691 1776 3692 1779 3692 1790 3692 1777 3693 1776 3693 1790 3693 1773 3694 1777 3694 1790 3694 1775 3695 1773 3695 1790 3695 1774 3696 1775 3696 1790 3696 1780 3697 1774 3697 1790 3697 1787 3698 1786 3698 1791 3698 1788 3699 1791 3699 1786 3699 1784 3700 1787 3700 1791 3700 1785 3701 1784 3701 1791 3701 1781 3702 1785 3702 1791 3702 1783 3703 1781 3703 1791 3703 1782 3704 1783 3704 1791 3704 1788 3705 1782 3705 1791 3705 1792 3706 1682 3706 1681 3706 1793 3707 1683 3707 1682 3707 1793 3708 1682 3708 1792 3708 1794 3709 1795 3709 1681 3709 1796 3710 1681 3710 1795 3710 1676 3711 1794 3711 1681 3711 1792 3712 1681 3712 1796 3712 1794 3713 1797 3713 1795 3713 1798 3714 1795 3714 1797 3714 1796 3715 1795 3715 1798 3715 1799 3716 1800 3716 1797 3716 1801 3717 1797 3717 1800 3717 1794 3718 1799 3718 1797 3718 1798 3719 1797 3719 1801 3719 1799 3720 1802 3720 1800 3720 1803 3721 1800 3721 1802 3721 1801 3722 1800 3722 1803 3722 1799 3723 1804 3723 1802 3723 1805 3724 1802 3724 1804 3724 1803 3725 1802 3725 1805 3725 1753 3726 1754 3726 1804 3726 1806 3727 1804 3727 1754 3727 1753 3728 1804 3728 1799 3728 1805 3729 1804 3729 1806 3729 1807 3730 1754 3730 1760 3730 1806 3731 1754 3731 1807 3731 1808 3732 1760 3732 1680 3732 1807 3733 1760 3733 1808 3733 1809 3734 1680 3734 1684 3734 1808 3735 1680 3735 1809 3735 1810 3736 1684 3736 1683 3736 1809 3737 1684 3737 1810 3737 1793 3738 1810 3738 1683 3738 1665 3739 1799 3739 1794 3739 1752 3740 1753 3740 1799 3740 1752 3741 1799 3741 1665 3741 1662 3742 1794 3742 1676 3742 1662 3743 1665 3743 1794 3743 1663 3744 1662 3744 1676 3744 1664 3745 1752 3745 1665 3745 1740 3746 1746 3746 1747 3746 1739 3747 1740 3747 1747 3747 1736 3748 1739 3748 1747 3748 1741 3749 1744 3749 1746 3749 1740 3750 1741 3750 1746 3750 1742 3751 1743 3751 1744 3751 1741 3752 1742 3752 1744 3752 1736 3753 1738 3753 1739 3753 1734 3754 1737 3754 1738 3754 1736 3755 1734 3755 1738 3755 1803 3756 1809 3756 1810 3756 1801 3757 1803 3757 1810 3757 1793 3758 1801 3758 1810 3758 1805 3759 1808 3759 1809 3759 1803 3760 1805 3760 1809 3760 1806 3761 1807 3761 1808 3761 1805 3762 1806 3762 1808 3762 1793 3763 1798 3763 1801 3763 1792 3764 1796 3764 1798 3764 1793 3765 1792 3765 1798 3765 1811 3766 1812 3766 1813 3766 1814 3767 1813 3767 1812 3767 1815 3768 1811 3768 1813 3768 1816 3769 1815 3769 1813 3769 1817 3770 1816 3770 1813 3770 1817 3771 1813 3771 1814 3771 1818 3772 1819 3772 1812 3772 1820 3773 1812 3773 1819 3773 1811 3774 1818 3774 1812 3774 1821 3775 1814 3775 1812 3775 1820 3776 1821 3776 1812 3776 1822 3777 1823 3777 1819 3777 1824 3778 1819 3778 1823 3778 1818 3779 1822 3779 1819 3779 1824 3780 1820 3780 1819 3780 1825 3781 1826 3781 1823 3781 1824 3782 1823 3782 1826 3782 1822 3783 1825 3783 1823 3783 1827 3784 1828 3784 1826 3784 1829 3785 1826 3785 1828 3785 1825 3786 1827 3786 1826 3786 1829 3787 1824 3787 1826 3787 1830 3788 1831 3788 1828 3788 1832 3789 1828 3789 1831 3789 1827 3790 1830 3790 1828 3790 1832 3791 1829 3791 1828 3791 1833 3792 1831 3792 1830 3792 1833 3793 1834 3793 1831 3793 1835 3794 1831 3794 1834 3794 1835 3795 1832 3795 1831 3795 1836 3796 1830 3796 1827 3796 1837 3797 1833 3797 1830 3797 1838 3798 1830 3798 1839 3798 1840 3799 1839 3799 1830 3799 1841 3800 1830 3800 1838 3800 1842 3801 1830 3801 1841 3801 1843 3802 1830 3802 1844 3802 1842 3803 1844 3803 1830 3803 1845 3804 1837 3804 1830 3804 1843 3805 1845 3805 1830 3805 1840 3806 1830 3806 1836 3806 1846 3807 1827 3807 1825 3807 1847 3808 1827 3808 1848 3808 1849 3809 1848 3809 1827 3809 1850 3810 1851 3810 1827 3810 1852 3811 1827 3811 1851 3811 1847 3812 1850 3812 1827 3812 1853 3813 1849 3813 1827 3813 1846 3814 1853 3814 1827 3814 1854 3815 1836 3815 1827 3815 1852 3816 1854 3816 1827 3816 1855 3817 1825 3817 1822 3817 1856 3818 1857 3818 1825 3818 1858 3819 1825 3819 1857 3819 1859 3820 1856 3820 1825 3820 1860 3821 1859 3821 1825 3821 1858 3822 1846 3822 1825 3822 1860 3823 1825 3823 1855 3823 1855 3824 1822 3824 1818 3824 1861 3825 1818 3825 1811 3825 1862 3826 1818 3826 1861 3826 1862 3827 1855 3827 1818 3827 1863 3828 1811 3828 1815 3828 1864 3829 1811 3829 1863 3829 1865 3830 1861 3830 1811 3830 1866 3831 1865 3831 1811 3831 1867 3832 1866 3832 1811 3832 1868 3833 1867 3833 1811 3833 1864 3834 1868 3834 1811 3834 1869 3835 1815 3835 1816 3835 1870 3836 1815 3836 1869 3836 1871 3837 1815 3837 1872 3837 1873 3838 1872 3838 1815 3838 1874 3839 1815 3839 1871 3839 1875 3840 1815 3840 1874 3840 1876 3841 1815 3841 1877 3841 1875 3842 1877 3842 1815 3842 1878 3843 1863 3843 1815 3843 1876 3844 1878 3844 1815 3844 1873 3845 1815 3845 1870 3845 1879 3846 1880 3846 1834 3846 1881 3847 1834 3847 1880 3847 1833 3848 1879 3848 1834 3848 1882 3849 1835 3849 1834 3849 1881 3850 1882 3850 1834 3850 1883 3851 1884 3851 1880 3851 1885 3852 1880 3852 1884 3852 1879 3853 1883 3853 1880 3853 1885 3854 1881 3854 1880 3854 1886 3855 1887 3855 1884 3855 1885 3856 1884 3856 1887 3856 1883 3857 1886 3857 1884 3857 1869 3858 1816 3858 1887 3858 1888 3859 1887 3859 1816 3859 1886 3860 1869 3860 1887 3860 1888 3861 1885 3861 1887 3861 1817 3862 1888 3862 1816 3862 1889 3863 1869 3863 1886 3863 1890 3864 1869 3864 1891 3864 1892 3865 1891 3865 1869 3865 1893 3866 1894 3866 1869 3866 1895 3867 1869 3867 1894 3867 1890 3868 1893 3868 1869 3868 1896 3869 1892 3869 1869 3869 1889 3870 1896 3870 1869 3870 1897 3871 1870 3871 1869 3871 1895 3872 1897 3872 1869 3872 1898 3873 1886 3873 1883 3873 1899 3874 1900 3874 1886 3874 1901 3875 1886 3875 1900 3875 1902 3876 1899 3876 1886 3876 1903 3877 1902 3877 1886 3877 1901 3878 1889 3878 1886 3878 1903 3879 1886 3879 1898 3879 1898 3880 1883 3880 1879 3880 1904 3881 1879 3881 1833 3881 1905 3882 1879 3882 1904 3882 1905 3883 1898 3883 1879 3883 1906 3884 1833 3884 1837 3884 1907 3885 1904 3885 1833 3885 1908 3886 1907 3886 1833 3886 1909 3887 1908 3887 1833 3887 1910 3888 1909 3888 1833 3888 1906 3889 1910 3889 1833 3889 1911 3890 1912 3890 1913 3890 1914 3891 1913 3891 1912 3891 1915 3892 1911 3892 1913 3892 1916 3893 1915 3893 1913 3893 1916 3894 1913 3894 1914 3894 1911 3895 1917 3895 1912 3895 1851 3896 1912 3896 1917 3896 1851 3897 1918 3897 1912 3897 1914 3898 1912 3898 1918 3898 1919 3899 1920 3899 1917 3899 1851 3900 1917 3900 1920 3900 1911 3901 1919 3901 1917 3901 1921 3902 1920 3902 1919 3902 1852 3903 1851 3903 1920 3903 1852 3904 1920 3904 1922 3904 1921 3905 1922 3905 1920 3905 1923 3906 1919 3906 1911 3906 1923 3907 1921 3907 1919 3907 1923 3908 1911 3908 1915 3908 1838 3909 1924 3909 1925 3909 1926 3910 1925 3910 1924 3910 1841 3911 1838 3911 1925 3911 1927 3912 1841 3912 1925 3912 1926 3913 1927 3913 1925 3913 1839 3914 1928 3914 1924 3914 1926 3915 1924 3915 1928 3915 1838 3916 1839 3916 1924 3916 1929 3917 1928 3917 1839 3917 1930 3918 1928 3918 1929 3918 1931 3919 1928 3919 1930 3919 1931 3920 1926 3920 1928 3920 1840 3921 1929 3921 1839 3921 1927 3922 1842 3922 1841 3922 1932 3923 1933 3923 1934 3923 1935 3924 1934 3924 1933 3924 1936 3925 1932 3925 1934 3925 1937 3926 1936 3926 1934 3926 1938 3927 1934 3927 1935 3927 1939 3928 1937 3928 1934 3928 1939 3929 1934 3929 1938 3929 1844 3930 1940 3930 1933 3930 1941 3931 1933 3931 1940 3931 1932 3932 1844 3932 1933 3932 1942 3933 1935 3933 1933 3933 1941 3934 1942 3934 1933 3934 1842 3935 1940 3935 1844 3935 1927 3936 1940 3936 1842 3936 1943 3937 1940 3937 1927 3937 1943 3938 1944 3938 1940 3938 1941 3939 1940 3939 1944 3939 1945 3940 1844 3940 1932 3940 1843 3941 1844 3941 1945 3941 1946 3942 1932 3942 1936 3942 1947 3943 1945 3943 1932 3943 1948 3944 1947 3944 1932 3944 1946 3945 1948 3945 1932 3945 1909 3946 1936 3946 1949 3946 1950 3947 1949 3947 1936 3947 1951 3948 1952 3948 1936 3948 1946 3949 1936 3949 1952 3949 1909 3950 1951 3950 1936 3950 1937 3951 1950 3951 1936 3951 1953 3952 1954 3952 1955 3952 1956 3953 1955 3953 1954 3953 1957 3954 1953 3954 1955 3954 1958 3955 1957 3955 1955 3955 1959 3956 1958 3956 1955 3956 1956 3957 1959 3957 1955 3957 1960 3958 1961 3958 1954 3958 1956 3959 1954 3959 1961 3959 1953 3960 1960 3960 1954 3960 1962 3961 1961 3961 1960 3961 1963 3962 1961 3962 1962 3962 1964 3963 1961 3963 1963 3963 1965 3964 1956 3964 1961 3964 1964 3965 1965 3965 1961 3965 1966 3966 1960 3966 1953 3966 1967 3967 1960 3967 1966 3967 1968 3968 1962 3968 1960 3968 1969 3969 1968 3969 1960 3969 1967 3970 1969 3970 1960 3970 1966 3971 1953 3971 1957 3971 1970 3972 1966 3972 1957 3972 1958 3973 1970 3973 1957 3973 1971 3974 1972 3974 1973 3974 1950 3975 1973 3975 1972 3975 1974 3976 1971 3976 1973 3976 1937 3977 1973 3977 1950 3977 1974 3978 1973 3978 1937 3978 1971 3979 1975 3979 1972 3979 1976 3980 1972 3980 1975 3980 1950 3981 1972 3981 1977 3981 1976 3982 1977 3982 1972 3982 1978 3983 1979 3983 1975 3983 1976 3984 1975 3984 1979 3984 1971 3985 1978 3985 1975 3985 1980 3986 1979 3986 1978 3986 1969 3987 1979 3987 1968 3987 1980 3988 1968 3988 1979 3988 1969 3989 1976 3989 1979 3989 1974 3990 1978 3990 1971 3990 1980 3991 1978 3991 1963 3991 1964 3992 1963 3992 1978 3992 1981 3993 1978 3993 1974 3993 1981 3994 1964 3994 1978 3994 1891 3995 1982 3995 1983 3995 1984 3996 1983 3996 1982 3996 1985 3997 1891 3997 1983 3997 1986 3998 1985 3998 1983 3998 1984 3999 1986 3999 1983 3999 1987 4000 1988 4000 1982 4000 1989 4001 1982 4001 1988 4001 1891 4002 1987 4002 1982 4002 1990 4003 1982 4003 1989 4003 1991 4004 1992 4004 1982 4004 1984 4005 1982 4005 1992 4005 1990 4006 1991 4006 1982 4006 1970 4007 1988 4007 1987 4007 1993 4008 1989 4008 1988 4008 1958 4009 1988 4009 1970 4009 1959 4010 1988 4010 1958 4010 1993 4011 1988 4011 1959 4011 1994 4012 1987 4012 1891 4012 1995 4013 1996 4013 1987 4013 1970 4014 1987 4014 1996 4014 1901 4015 1995 4015 1987 4015 1994 4016 1901 4016 1987 4016 1997 4017 1891 4017 1985 4017 1890 4018 1891 4018 1997 4018 1998 4019 1891 4019 1892 4019 1998 4020 1994 4020 1891 4020 1999 4021 1997 4021 1985 4021 2000 4022 1999 4022 1985 4022 2001 4023 2000 4023 1985 4023 1986 4024 2001 4024 1985 4024 1871 4025 2002 4025 2003 4025 2004 4026 2003 4026 2002 4026 1874 4027 1871 4027 2003 4027 2005 4028 1874 4028 2003 4028 2004 4029 2005 4029 2003 4029 1872 4030 2006 4030 2002 4030 2004 4031 2002 4031 2006 4031 1871 4032 1872 4032 2002 4032 2007 4033 2006 4033 1872 4033 2008 4034 2006 4034 2007 4034 2009 4035 2006 4035 2008 4035 2009 4036 2004 4036 2006 4036 1873 4037 2007 4037 1872 4037 2005 4038 1875 4038 1874 4038 2010 4039 2011 4039 2012 4039 2001 4040 2012 4040 2011 4040 2013 4041 2010 4041 2012 4041 1986 4042 2013 4042 2012 4042 1986 4043 2012 4043 2001 4043 2010 4044 2014 4044 2011 4044 1894 4045 2011 4045 2014 4045 1894 4046 2000 4046 2011 4046 2001 4047 2011 4047 2000 4047 2015 4048 2016 4048 2014 4048 1894 4049 2014 4049 2016 4049 2010 4050 2015 4050 2014 4050 2017 4051 2016 4051 2015 4051 1895 4052 1894 4052 2016 4052 1895 4053 2016 4053 2018 4053 2017 4054 2018 4054 2016 4054 2019 4055 2015 4055 2010 4055 2019 4056 2017 4056 2015 4056 2019 4057 2010 4057 2013 4057 2020 4058 2021 4058 2022 4058 2023 4059 2022 4059 2021 4059 2024 4060 2020 4060 2022 4060 2025 4061 2024 4061 2022 4061 2026 4062 2022 4062 2023 4062 2027 4063 2025 4063 2022 4063 2027 4064 2022 4064 2026 4064 1877 4065 2028 4065 2021 4065 2029 4066 2021 4066 2028 4066 2020 4067 1877 4067 2021 4067 2030 4068 2023 4068 2021 4068 2029 4069 2030 4069 2021 4069 1875 4070 2028 4070 1877 4070 2005 4071 2028 4071 1875 4071 2031 4072 2028 4072 2005 4072 2031 4073 2032 4073 2028 4073 2029 4074 2028 4074 2032 4074 2033 4075 1877 4075 2020 4075 1876 4076 1877 4076 2033 4076 2034 4077 2020 4077 2024 4077 2035 4078 2033 4078 2020 4078 2036 4079 2035 4079 2020 4079 2034 4080 2036 4080 2020 4080 1867 4081 2024 4081 2037 4081 2038 4082 2037 4082 2024 4082 2039 4083 2040 4083 2024 4083 2034 4084 2024 4084 2040 4084 1867 4085 2039 4085 2024 4085 2025 4086 2038 4086 2024 4086 2041 4087 2042 4087 2043 4087 2044 4088 2043 4088 2042 4088 2045 4089 2041 4089 2043 4089 2046 4090 2045 4090 2043 4090 2047 4091 2046 4091 2043 4091 2044 4092 2047 4092 2043 4092 2048 4093 2049 4093 2042 4093 2044 4094 2042 4094 2049 4094 2041 4095 2048 4095 2042 4095 2050 4096 2049 4096 2048 4096 2051 4097 2049 4097 2050 4097 2052 4098 2049 4098 2051 4098 2053 4099 2044 4099 2049 4099 2052 4100 2053 4100 2049 4100 2054 4101 2048 4101 2041 4101 2055 4102 2048 4102 2054 4102 2056 4103 2050 4103 2048 4103 2057 4104 2056 4104 2048 4104 2055 4105 2057 4105 2048 4105 2054 4106 2041 4106 2045 4106 2058 4107 2054 4107 2045 4107 2046 4108 2058 4108 2045 4108 2059 4109 2060 4109 2061 4109 2038 4110 2061 4110 2060 4110 2062 4111 2059 4111 2061 4111 2025 4112 2061 4112 2038 4112 2062 4113 2061 4113 2025 4113 2059 4114 2063 4114 2060 4114 2064 4115 2060 4115 2063 4115 2038 4116 2060 4116 2065 4116 2064 4117 2065 4117 2060 4117 2066 4118 2067 4118 2063 4118 2064 4119 2063 4119 2067 4119 2059 4120 2066 4120 2063 4120 2068 4121 2067 4121 2066 4121 2057 4122 2067 4122 2056 4122 2068 4123 2056 4123 2067 4123 2057 4124 2064 4124 2067 4124 2062 4125 2066 4125 2059 4125 2068 4126 2066 4126 2051 4126 2052 4127 2051 4127 2066 4127 2069 4128 2066 4128 2062 4128 2069 4129 2052 4129 2066 4129 1848 4130 2070 4130 2071 4130 2072 4131 2071 4131 2070 4131 2073 4132 1848 4132 2071 4132 1916 4133 2073 4133 2071 4133 2072 4134 1916 4134 2071 4134 2074 4135 2075 4135 2070 4135 2076 4136 2070 4136 2075 4136 1848 4137 2074 4137 2070 4137 2077 4138 2070 4138 2076 4138 2078 4139 2079 4139 2070 4139 2072 4140 2070 4140 2079 4140 2077 4141 2078 4141 2070 4141 2058 4142 2075 4142 2074 4142 2080 4143 2076 4143 2075 4143 2046 4144 2075 4144 2058 4144 2047 4145 2075 4145 2046 4145 2080 4146 2075 4146 2047 4146 2081 4147 2074 4147 1848 4147 2082 4148 2083 4148 2074 4148 2058 4149 2074 4149 2083 4149 1858 4150 2082 4150 2074 4150 2081 4151 1858 4151 2074 4151 2084 4152 1848 4152 2073 4152 1847 4153 1848 4153 2084 4153 2085 4154 1848 4154 1849 4154 2085 4155 2081 4155 1848 4155 2086 4156 2084 4156 2073 4156 1918 4157 2086 4157 2073 4157 1914 4158 1918 4158 2073 4158 1916 4159 1914 4159 2073 4159 2013 4160 1814 4160 1821 4160 1989 4161 1817 4161 1814 4161 2013 4162 1989 4162 1814 4162 2023 4163 1821 4163 1820 4163 2023 4164 2013 4164 1821 4164 2087 4165 1820 4165 1824 4165 2087 4166 2023 4166 1820 4166 2088 4167 1824 4167 1829 4167 2088 4168 2087 4168 1824 4168 2089 4169 1829 4169 1832 4169 2089 4170 2088 4170 1829 4170 2076 4171 1832 4171 1835 4171 2076 4172 2089 4172 1832 4172 1915 4173 1835 4173 1882 4173 2076 4174 1835 4174 1915 4174 1935 4175 1882 4175 1881 4175 1935 4176 1915 4176 1882 4176 2090 4177 1881 4177 1885 4177 2090 4178 1935 4178 1881 4178 2091 4179 1885 4179 1888 4179 2091 4180 2090 4180 1885 4180 2092 4181 1888 4181 1817 4181 2092 4182 2091 4182 1888 4182 1989 4183 2092 4183 1817 4183 2093 4184 1915 4184 1935 4184 2094 4185 2076 4185 1915 4185 2072 4186 1915 4186 1916 4186 2095 4187 2094 4187 1915 4187 2072 4188 2095 4188 1915 4188 1923 4189 1915 4189 2093 4189 2096 4190 1935 4190 2090 4190 2097 4191 1926 4191 1935 4191 2098 4192 1935 4192 1926 4192 1942 4193 2097 4193 1935 4193 2096 4194 1938 4194 1935 4194 2098 4195 2093 4195 1935 4195 2099 4196 2090 4196 2091 4196 2100 4197 2096 4197 2090 4197 2099 4198 2100 4198 2090 4198 2101 4199 2091 4199 2092 4199 2102 4200 2099 4200 2091 4200 2102 4201 2091 4201 2101 4201 2103 4202 2092 4202 1989 4202 2103 4203 2104 4203 2092 4203 2105 4204 2092 4204 2104 4204 2105 4205 2101 4205 2092 4205 2106 4206 1989 4206 2013 4206 2106 4207 1990 4207 1989 4207 2107 4208 2103 4208 1989 4208 1993 4209 2107 4209 1989 4209 2108 4210 2013 4210 2023 4210 1984 4211 2013 4211 1986 4211 2109 4212 2106 4212 2013 4212 1984 4213 2109 4213 2013 4213 2019 4214 2013 4214 2108 4214 2110 4215 2023 4215 2087 4215 2111 4216 2004 4216 2023 4216 2112 4217 2023 4217 2004 4217 2030 4218 2111 4218 2023 4218 2110 4219 2026 4219 2023 4219 2112 4220 2108 4220 2023 4220 2113 4221 2087 4221 2088 4221 2114 4222 2110 4222 2087 4222 2113 4223 2114 4223 2087 4223 2115 4224 2088 4224 2089 4224 2116 4225 2113 4225 2088 4225 2116 4226 2088 4226 2115 4226 2117 4227 2089 4227 2076 4227 2117 4228 2118 4228 2089 4228 2119 4229 2089 4229 2118 4229 2119 4230 2115 4230 2089 4230 2120 4231 2117 4231 2076 4231 2080 4232 2120 4232 2076 4232 2094 4233 2077 4233 2076 4233 1992 4234 1997 4234 1999 4234 1991 4235 1890 4235 1997 4235 1991 4236 1997 4236 1992 4236 1984 4237 1999 4237 2000 4237 1984 4238 1992 4238 1999 4238 2109 4239 2000 4239 1894 4239 1984 4240 2000 4240 2109 4240 2106 4241 1894 4241 1893 4241 2109 4242 1894 4242 2106 4242 1990 4243 1893 4243 1890 4243 2106 4244 1893 4244 1990 4244 1990 4245 1890 4245 1991 4245 2032 4246 2033 4246 2035 4246 2031 4247 1876 4247 2033 4247 2031 4248 2033 4248 2032 4248 2029 4249 2035 4249 2036 4249 2029 4250 2032 4250 2035 4250 2034 4251 1863 4251 2036 4251 2030 4252 2036 4252 1863 4252 2029 4253 2036 4253 2030 4253 2111 4254 1863 4254 1878 4254 2034 4255 1864 4255 1863 4255 2030 4256 1863 4256 2111 4256 2004 4257 1878 4257 1876 4257 2111 4258 1878 4258 2004 4258 2004 4259 1876 4259 2031 4259 2038 4260 2065 4260 2037 4260 2026 4261 2037 4261 2065 4261 1867 4262 2037 4262 1866 4262 2110 4263 1866 4263 2037 4263 2110 4264 2037 4264 2026 4264 2064 4265 2121 4265 2065 4265 2027 4266 2065 4266 2121 4266 2027 4267 2026 4267 2065 4267 1862 4268 1861 4268 2121 4268 2062 4269 2121 4269 1861 4269 2064 4270 1862 4270 2121 4270 2027 4271 2121 4271 2062 4271 2113 4272 1861 4272 1865 4272 2062 4273 1861 4273 2113 4273 2114 4274 1865 4274 1866 4274 2113 4275 1865 4275 2114 4275 2114 4276 1866 4276 2110 4276 2047 4277 2083 4277 2082 4277 2058 4278 2083 4278 2054 4278 2044 4279 2054 4279 2083 4279 2044 4280 2083 4280 2047 4280 1858 4281 1857 4281 2082 4281 2080 4282 2082 4282 1857 4282 2080 4283 2047 4283 2082 4283 2120 4284 1857 4284 1856 4284 2080 4285 1857 4285 2120 4285 2117 4286 1856 4286 1859 4286 2120 4287 1856 4287 2117 4287 2055 4288 2054 4288 1859 4288 2118 4289 1859 4289 2054 4289 1860 4290 2055 4290 1859 4290 2117 4291 1859 4291 2118 4291 2118 4292 2054 4292 2044 4292 2079 4293 2084 4293 2086 4293 2078 4294 1847 4294 2084 4294 2078 4295 2084 4295 2079 4295 2072 4296 2086 4296 1918 4296 2072 4297 2079 4297 2086 4297 2095 4298 1918 4298 1851 4298 2072 4299 1918 4299 2095 4299 2094 4300 1851 4300 1850 4300 2095 4301 1851 4301 2094 4301 2077 4302 1850 4302 1847 4302 2094 4303 1850 4303 2077 4303 2077 4304 1847 4304 2078 4304 1944 4305 1945 4305 1947 4305 1943 4306 1843 4306 1945 4306 1943 4307 1945 4307 1944 4307 1941 4308 1947 4308 1948 4308 1941 4309 1944 4309 1947 4309 1946 4310 1837 4310 1948 4310 1942 4311 1948 4311 1837 4311 1941 4312 1948 4312 1942 4312 2097 4313 1837 4313 1845 4313 1946 4314 1906 4314 1837 4314 1942 4315 1837 4315 2097 4315 1926 4316 1845 4316 1843 4316 2097 4317 1845 4317 1926 4317 1926 4318 1843 4318 1943 4318 1950 4319 1977 4319 1949 4319 1938 4320 1949 4320 1977 4320 1909 4321 1949 4321 1908 4321 2096 4322 1908 4322 1949 4322 2096 4323 1949 4323 1938 4323 1976 4324 2122 4324 1977 4324 1939 4325 1977 4325 2122 4325 1939 4326 1938 4326 1977 4326 1905 4327 1904 4327 2122 4327 1974 4328 2122 4328 1904 4328 1976 4329 1905 4329 2122 4329 1939 4330 2122 4330 1974 4330 2099 4331 1904 4331 1907 4331 1974 4332 1904 4332 2099 4332 2100 4333 1907 4333 1908 4333 2099 4334 1907 4334 2100 4334 2100 4335 1908 4335 2096 4335 1959 4336 1996 4336 1995 4336 1970 4337 1996 4337 1966 4337 1956 4338 1966 4338 1996 4338 1956 4339 1996 4339 1959 4339 1901 4340 1900 4340 1995 4340 1993 4341 1995 4341 1900 4341 1993 4342 1959 4342 1995 4342 2107 4343 1900 4343 1899 4343 1993 4344 1900 4344 2107 4344 2103 4345 1899 4345 1902 4345 2107 4346 1899 4346 2103 4346 1967 4347 1966 4347 1902 4347 2104 4348 1902 4348 1966 4348 1903 4349 1967 4349 1902 4349 2103 4350 1902 4350 2104 4350 2104 4351 1966 4351 1956 4351 2123 4352 1849 4352 1853 4352 2124 4353 2085 4353 1849 4353 2124 4354 1849 4354 2123 4354 2125 4355 1853 4355 1846 4355 2125 4356 2123 4356 1853 4356 2126 4357 1846 4357 1858 4357 2125 4358 1846 4358 2126 4358 2127 4359 1858 4359 2081 4359 2126 4360 1858 4360 2127 4360 2128 4361 2081 4361 2085 4361 2127 4362 2081 4362 2128 4362 2128 4363 2085 4363 2124 4363 2129 4364 1952 4364 1951 4364 2130 4365 1946 4365 1952 4365 2130 4366 1952 4366 2129 4366 2131 4367 1951 4367 1909 4367 2131 4368 2129 4368 1951 4368 2132 4369 1909 4369 1910 4369 2131 4370 1909 4370 2132 4370 2133 4371 1910 4371 1906 4371 2132 4372 1910 4372 2133 4372 2134 4373 1906 4373 1946 4373 2133 4374 1906 4374 2134 4374 2134 4375 1946 4375 2130 4375 2135 4376 1892 4376 1896 4376 2136 4377 1998 4377 1892 4377 2136 4378 1892 4378 2135 4378 2137 4379 1896 4379 1889 4379 2137 4380 2135 4380 1896 4380 2138 4381 1889 4381 1901 4381 2137 4382 1889 4382 2138 4382 2139 4383 1901 4383 1994 4383 2138 4384 1901 4384 2139 4384 2140 4385 1994 4385 1998 4385 2139 4386 1994 4386 2140 4386 2140 4387 1998 4387 2136 4387 2141 4388 2040 4388 2039 4388 2142 4389 2034 4389 2040 4389 2142 4390 2040 4390 2141 4390 2143 4391 2039 4391 1867 4391 2143 4392 2141 4392 2039 4392 2144 4393 1867 4393 1868 4393 2143 4394 1867 4394 2144 4394 2145 4395 1868 4395 1864 4395 2144 4396 1868 4396 2145 4396 2146 4397 1864 4397 2034 4397 2145 4398 1864 4398 2146 4398 2146 4399 2034 4399 2142 4399 2147 4400 2148 4400 2149 4400 2150 4401 2149 4401 2148 4401 2151 4402 2147 4402 2149 4402 2152 4403 2151 4403 2149 4403 2152 4404 2149 4404 2153 4404 2154 4405 2153 4405 2149 4405 2154 4406 2149 4406 2150 4406 2155 4407 2156 4407 2148 4407 2150 4408 2148 4408 2156 4408 2147 4409 2155 4409 2148 4409 2157 4410 2156 4410 2155 4410 2158 4411 2156 4411 2157 4411 2159 4412 2156 4412 2158 4412 2159 4413 2150 4413 2156 4413 2160 4414 2155 4414 2147 4414 2157 4415 2155 4415 2160 4415 2161 4416 2147 4416 2151 4416 2162 4417 2147 4417 2161 4417 2160 4418 2147 4418 2162 4418 1895 4419 2018 4419 2151 4419 2161 4420 2151 4420 2018 4420 2152 4421 1895 4421 2151 4421 2161 4422 2018 4422 2017 4422 2163 4423 2164 4423 1962 4423 1963 4424 1962 4424 2164 4424 1968 4425 2163 4425 1962 4425 2165 4426 2166 4426 2164 4426 2167 4427 2164 4427 2166 4427 2163 4428 2165 4428 2164 4428 2168 4429 2164 4429 2167 4429 1963 4430 2164 4430 2168 4430 2169 4431 2170 4431 2166 4431 2167 4432 2166 4432 2170 4432 2165 4433 2169 4433 2166 4433 2171 4434 2172 4434 2170 4434 2173 4435 2170 4435 2172 4435 2174 4436 2171 4436 2170 4436 2169 4437 2174 4437 2170 4437 2167 4438 2170 4438 2173 4438 2159 4439 2172 4439 2171 4439 2173 4440 2172 4440 2175 4440 2159 4441 2175 4441 2172 4441 2176 4442 2171 4442 2174 4442 2176 4443 2159 4443 2171 4443 2177 4444 2174 4444 2169 4444 2178 4445 2174 4445 2177 4445 2179 4446 2174 4446 2178 4446 2179 4447 2176 4447 2174 4447 2180 4448 2169 4448 2165 4448 2177 4449 2169 4449 2180 4449 2181 4450 2165 4450 2163 4450 2182 4451 2165 4451 2181 4451 2180 4452 2165 4452 2182 4452 2181 4453 2163 4453 1968 4453 2181 4454 1968 4454 1980 4454 2183 4455 2184 4455 1929 4455 1930 4456 1929 4456 2184 4456 1840 4457 2183 4457 1929 4457 2185 4458 2186 4458 2184 4458 2187 4459 2184 4459 2186 4459 2183 4460 2185 4460 2184 4460 2188 4461 2184 4461 2187 4461 1930 4462 2184 4462 2188 4462 2189 4463 2190 4463 2186 4463 2187 4464 2186 4464 2190 4464 2185 4465 2189 4465 2186 4465 2189 4466 2191 4466 2190 4466 2192 4467 2190 4467 2191 4467 2187 4468 2190 4468 2192 4468 2179 4469 2191 4469 2189 4469 2192 4470 2191 4470 2193 4470 2179 4471 2193 4471 2191 4471 2185 4472 2194 4472 2189 4472 2179 4473 2189 4473 2194 4473 2195 4474 2196 4474 2194 4474 2197 4475 2194 4475 2196 4475 2198 4476 2195 4476 2194 4476 2185 4477 2198 4477 2194 4477 2197 4478 2179 4478 2194 4478 2199 4479 2200 4479 2196 4479 2197 4480 2196 4480 2200 4480 2195 4481 2199 4481 2196 4481 2201 4482 2200 4482 2199 4482 2202 4483 2200 4483 2201 4483 2203 4484 2200 4484 2202 4484 2203 4485 2197 4485 2200 4485 2204 4486 2199 4486 2195 4486 2201 4487 2199 4487 2204 4487 2205 4488 2195 4488 2198 4488 2206 4489 2195 4489 2205 4489 2204 4490 2195 4490 2206 4490 1852 4491 1922 4491 2198 4491 2205 4492 2198 4492 1922 4492 2185 4493 1852 4493 2198 4493 2205 4494 1922 4494 1921 4494 2207 4495 2208 4495 2050 4495 2051 4496 2050 4496 2208 4496 2056 4497 2207 4497 2050 4497 2209 4498 2210 4498 2208 4498 2211 4499 2208 4499 2210 4499 2207 4500 2209 4500 2208 4500 2212 4501 2208 4501 2211 4501 2051 4502 2208 4502 2212 4502 2213 4503 2214 4503 2210 4503 2211 4504 2210 4504 2214 4504 2209 4505 2213 4505 2210 4505 2215 4506 2216 4506 2214 4506 2217 4507 2214 4507 2216 4507 2218 4508 2215 4508 2214 4508 2213 4509 2218 4509 2214 4509 2211 4510 2214 4510 2217 4510 2203 4511 2216 4511 2215 4511 2217 4512 2216 4512 2219 4512 2203 4513 2219 4513 2216 4513 2220 4514 2215 4514 2218 4514 2203 4515 2215 4515 2220 4515 2221 4516 2218 4516 2213 4516 2222 4517 2218 4517 2221 4517 2154 4518 2218 4518 2222 4518 2220 4519 2218 4519 2154 4519 2223 4520 2213 4520 2209 4520 2221 4521 2213 4521 2223 4521 2224 4522 2209 4522 2207 4522 2225 4523 2209 4523 2224 4523 2223 4524 2209 4524 2225 4524 2224 4525 2207 4525 2056 4525 2224 4526 2056 4526 2068 4526 2226 4527 2227 4527 2007 4527 2008 4528 2007 4528 2227 4528 1873 4529 2226 4529 2007 4529 2152 4530 2228 4530 2227 4530 2229 4531 2227 4531 2228 4531 2226 4532 2152 4532 2227 4532 2230 4533 2227 4533 2229 4533 2008 4534 2227 4534 2230 4534 2153 4535 2231 4535 2228 4535 2229 4536 2228 4536 2231 4536 2152 4537 2153 4537 2228 4537 2153 4538 2232 4538 2231 4538 2233 4539 2231 4539 2232 4539 2229 4540 2231 4540 2233 4540 2154 4541 2232 4541 2153 4541 2233 4542 2232 4542 2234 4542 2154 4543 2234 4543 2232 4543 2093 4544 1836 4544 1854 4544 2098 4545 1840 4545 1836 4545 2098 4546 1836 4546 2093 4546 1923 4547 1854 4547 1852 4547 1923 4548 2093 4548 1854 4548 2235 4549 1852 4549 2185 4549 1923 4550 1852 4550 2235 4550 2236 4551 2185 4551 2183 4551 2235 4552 2185 4552 2236 4552 1931 4553 2183 4553 1840 4553 2236 4554 2183 4554 1931 4554 1931 4555 1840 4555 2098 4555 2101 4556 1898 4556 1905 4556 2105 4557 1903 4557 1898 4557 2105 4558 1898 4558 2101 4558 2102 4559 1905 4559 1976 4559 2102 4560 2101 4560 1905 4560 1981 4561 1976 4561 1969 4561 2102 4562 1976 4562 1981 4562 1964 4563 1969 4563 1967 4563 1981 4564 1969 4564 1964 4564 1965 4565 1967 4565 1903 4565 1964 4566 1967 4566 1965 4566 1965 4567 1903 4567 2105 4567 2108 4568 1870 4568 1897 4568 2112 4569 1873 4569 1870 4569 2112 4570 1870 4570 2108 4570 2019 4571 1897 4571 1895 4571 2019 4572 2108 4572 1897 4572 2237 4573 1895 4573 2152 4573 2019 4574 1895 4574 2237 4574 2238 4575 2152 4575 2226 4575 2237 4576 2152 4576 2238 4576 2009 4577 2226 4577 1873 4577 2238 4578 2226 4578 2009 4578 2009 4579 1873 4579 2112 4579 2115 4580 1855 4580 1862 4580 2119 4581 1860 4581 1855 4581 2119 4582 1855 4582 2115 4582 2116 4583 1862 4583 2064 4583 2116 4584 2115 4584 1862 4584 2069 4585 2064 4585 2057 4585 2116 4586 2064 4586 2069 4586 2052 4587 2057 4587 2055 4587 2069 4588 2057 4588 2052 4588 2053 4589 2055 4589 1860 4589 2052 4590 2055 4590 2053 4590 2053 4591 1860 4591 2119 4591 2234 4592 2239 4592 2240 4592 2241 4593 2240 4593 2239 4593 2162 4594 2240 4594 2242 4594 2243 4595 2242 4595 2240 4595 2233 4596 2234 4596 2240 4596 2229 4597 2233 4597 2240 4597 2230 4598 2229 4598 2240 4598 2238 4599 2230 4599 2240 4599 2238 4600 2240 4600 2162 4600 2243 4601 2240 4601 2241 4601 2222 4602 2244 4602 2239 4602 2245 4603 2239 4603 2244 4603 2234 4604 2222 4604 2239 4604 2245 4605 2241 4605 2239 4605 2222 4606 2246 4606 2244 4606 2247 4607 2244 4607 2246 4607 2245 4608 2244 4608 2247 4608 2202 4609 2248 4609 2246 4609 2249 4610 2246 4610 2248 4610 2222 4611 2202 4611 2246 4611 2247 4612 2246 4612 2249 4612 2201 4613 2250 4613 2248 4613 2251 4614 2248 4614 2250 4614 2202 4615 2201 4615 2248 4615 2249 4616 2248 4616 2251 4616 2206 4617 2252 4617 2250 4617 2253 4618 2250 4618 2252 4618 2204 4619 2206 4619 2250 4619 2201 4620 2204 4620 2250 4620 2251 4621 2250 4621 2253 4621 2193 4622 2254 4622 2252 4622 2255 4623 2252 4623 2254 4623 2236 4624 2252 4624 2206 4624 2192 4625 2193 4625 2252 4625 2187 4626 2192 4626 2252 4626 2188 4627 2187 4627 2252 4627 2236 4628 2188 4628 2252 4628 2253 4629 2252 4629 2255 4629 2178 4630 2256 4630 2254 4630 2257 4631 2254 4631 2256 4631 2193 4632 2178 4632 2254 4632 2255 4633 2254 4633 2257 4633 2178 4634 2258 4634 2256 4634 2259 4635 2256 4635 2258 4635 2257 4636 2256 4636 2259 4636 2158 4637 2260 4637 2258 4637 2261 4638 2258 4638 2260 4638 2178 4639 2158 4639 2258 4639 2259 4640 2258 4640 2261 4640 2157 4641 2242 4641 2260 4641 2262 4642 2260 4642 2242 4642 2158 4643 2157 4643 2260 4643 2261 4644 2260 4644 2262 4644 2160 4645 2162 4645 2242 4645 2157 4646 2160 4646 2242 4646 2262 4647 2242 4647 2243 4647 2235 4648 2205 4648 1921 4648 1923 4649 2235 4649 1921 4649 2236 4650 2206 4650 2205 4650 2235 4651 2236 4651 2205 4651 2221 4652 2219 4652 2202 4652 2203 4653 2202 4653 2219 4653 2222 4654 2221 4654 2202 4654 2223 4655 2217 4655 2219 4655 2221 4656 2223 4656 2219 4656 2225 4657 2211 4657 2217 4657 2223 4658 2225 4658 2217 4658 2224 4659 2212 4659 2211 4659 2225 4660 2224 4660 2211 4660 2068 4661 2051 4661 2212 4661 2224 4662 2068 4662 2212 4662 2027 4663 2062 4663 2025 4663 2154 4664 2222 4664 2234 4664 2009 4665 2008 4665 2230 4665 2238 4666 2009 4666 2230 4666 2004 4667 2031 4667 2005 4667 2237 4668 2161 4668 2017 4668 2019 4669 2237 4669 2017 4669 2238 4670 2162 4670 2161 4670 2237 4671 2238 4671 2161 4671 2177 4672 2175 4672 2158 4672 2159 4673 2158 4673 2175 4673 2178 4674 2177 4674 2158 4674 2180 4675 2173 4675 2175 4675 2177 4676 2180 4676 2175 4676 2182 4677 2167 4677 2173 4677 2180 4678 2182 4678 2173 4678 2181 4679 2168 4679 2167 4679 2182 4680 2181 4680 2167 4680 1980 4681 1963 4681 2168 4681 2181 4682 1980 4682 2168 4682 1939 4683 1974 4683 1937 4683 2179 4684 2178 4684 2193 4684 1931 4685 1930 4685 2188 4685 2236 4686 1931 4686 2188 4686 1926 4687 1943 4687 1927 4687 2009 4688 2112 4688 2004 4688 2069 4689 2062 4689 2113 4689 2116 4690 2069 4690 2113 4690 2053 4691 2118 4691 2044 4691 2053 4692 2119 4692 2118 4692 1931 4693 2098 4693 1926 4693 1981 4694 1974 4694 2099 4694 2102 4695 1981 4695 2099 4695 1965 4696 2104 4696 1956 4696 1965 4697 2105 4697 2104 4697 2241 4698 2150 4698 2159 4698 2245 4699 2150 4699 2241 4699 2245 4700 2247 4700 2150 4700 2154 4701 2150 4701 2247 4701 2179 4702 2159 4702 2176 4702 2263 4703 2159 4703 2179 4703 2243 4704 2241 4704 2159 4704 2262 4705 2243 4705 2159 4705 2261 4706 2262 4706 2159 4706 2263 4707 2261 4707 2159 4707 2264 4708 2179 4708 2197 4708 2264 4709 2263 4709 2179 4709 2255 4710 2257 4710 2197 4710 2265 4711 2197 4711 2257 4711 2203 4712 2255 4712 2197 4712 2265 4713 2264 4713 2197 4713 2128 4714 2124 4714 2123 4714 2127 4715 2128 4715 2123 4715 2125 4716 2127 4716 2123 4716 2125 4717 2126 4717 2127 4717 2134 4718 2130 4718 2129 4718 2133 4719 2134 4719 2129 4719 2131 4720 2133 4720 2129 4720 2131 4721 2132 4721 2133 4721 2140 4722 2136 4722 2135 4722 2139 4723 2140 4723 2135 4723 2137 4724 2139 4724 2135 4724 2137 4725 2138 4725 2139 4725 2146 4726 2142 4726 2141 4726 2145 4727 2146 4727 2141 4727 2143 4728 2145 4728 2141 4728 2143 4729 2144 4729 2145 4729 2266 4730 2259 4730 2261 4730 2266 4731 2261 4731 2263 4731 2265 4732 2257 4732 2259 4732 2266 4733 2265 4733 2259 4733 2203 4734 2253 4734 2255 4734 2203 4735 2251 4735 2253 4735 2203 4736 2249 4736 2251 4736 2154 4737 2247 4737 2249 4737 2203 4738 2154 4738 2249 4738 2203 4739 2220 4739 2154 4739 2267 4740 2263 4740 2264 4740 2268 4741 2266 4741 2263 4741 2268 4742 2263 4742 2267 4742 2269 4743 2264 4743 2265 4743 2269 4744 2267 4744 2264 4744 2270 4745 2265 4745 2266 4745 2269 4746 2265 4746 2270 4746 2270 4747 2266 4747 2268 4747 2270 4748 2268 4748 2267 4748 2269 4749 2270 4749 2267 4749 2271 4750 2272 4750 2273 4750 2274 4751 2273 4751 2272 4751 2275 4752 2273 4752 2276 4752 2277 4753 2276 4753 2273 4753 2271 4754 2273 4754 2275 4754 2274 4755 2277 4755 2273 4755 2271 4756 2278 4756 2272 4756 2279 4757 2272 4757 2278 4757 2274 4758 2272 4758 2280 4758 2279 4759 2280 4759 2272 4759 2281 4760 2282 4760 2278 4760 2279 4761 2278 4761 2282 4761 2271 4762 2283 4762 2278 4762 2284 4763 2278 4763 2283 4763 2285 4764 2281 4764 2278 4764 2284 4765 2285 4765 2278 4765 2286 4766 2287 4766 2282 4766 2288 4767 2282 4767 2287 4767 2289 4768 2286 4768 2282 4768 2283 4769 2289 4769 2282 4769 2281 4770 2283 4770 2282 4770 2279 4771 2282 4771 2288 4771 2290 4772 2287 4772 2286 4772 2288 4773 2287 4773 2290 4773 2289 4774 2291 4774 2286 4774 2292 4775 2286 4775 2291 4775 2290 4776 2286 4776 2292 4776 2293 4777 2294 4777 2291 4777 2295 4778 2291 4778 2294 4778 2289 4779 2296 4779 2291 4779 2297 4780 2291 4780 2296 4780 2297 4781 2293 4781 2291 4781 2292 4782 2291 4782 2295 4782 2298 4783 2299 4783 2294 4783 2295 4784 2294 4784 2299 4784 2300 4785 2298 4785 2294 4785 2300 4786 2294 4786 2293 4786 2301 4787 2302 4787 2299 4787 2303 4788 2299 4788 2302 4788 2298 4789 2301 4789 2299 4789 2295 4790 2299 4790 2303 4790 2304 4791 2305 4791 2302 4791 2306 4792 2302 4792 2305 4792 2301 4793 2304 4793 2302 4793 2303 4794 2302 4794 2306 4794 2304 4795 2307 4795 2305 4795 2308 4796 2305 4796 2307 4796 2309 4797 2305 4797 2308 4797 2306 4798 2305 4798 2309 4798 2310 4799 2311 4799 2307 4799 2308 4800 2307 4800 2311 4800 2304 4801 2312 4801 2307 4801 2313 4802 2307 4802 2312 4802 2313 4803 2314 4803 2307 4803 2310 4804 2307 4804 2314 4804 2315 4805 2316 4805 2311 4805 2317 4806 2311 4806 2316 4806 2318 4807 2315 4807 2311 4807 2312 4808 2318 4808 2311 4808 2310 4809 2312 4809 2311 4809 2308 4810 2311 4810 2317 4810 2319 4811 2316 4811 2315 4811 2317 4812 2316 4812 2319 4812 2318 4813 2320 4813 2315 4813 2321 4814 2315 4814 2320 4814 2319 4815 2315 4815 2321 4815 2322 4816 2323 4816 2320 4816 2324 4817 2320 4817 2323 4817 2318 4818 2325 4818 2320 4818 2326 4819 2320 4819 2325 4819 2326 4820 2322 4820 2320 4820 2321 4821 2320 4821 2324 4821 2327 4822 2276 4822 2323 4822 2324 4823 2323 4823 2276 4823 2328 4824 2327 4824 2323 4824 2322 4825 2328 4825 2323 4825 2327 4826 2275 4826 2276 4826 2324 4827 2276 4827 2277 4827 2329 4828 2275 4828 2327 4828 2330 4829 2271 4829 2275 4829 2330 4830 2275 4830 2329 4830 2331 4831 2325 4831 2327 4831 2332 4832 2327 4832 2325 4832 2328 4833 2331 4833 2327 4833 2332 4834 2329 4834 2327 4834 2333 4835 2325 4835 2318 4835 2326 4836 2325 4836 2331 4836 2333 4837 2332 4837 2325 4837 2334 4838 2318 4838 2312 4838 2334 4839 2333 4839 2318 4839 2335 4840 2312 4840 2304 4840 2336 4841 2313 4841 2312 4841 2310 4842 2336 4842 2312 4842 2335 4843 2334 4843 2312 4843 2337 4844 2304 4844 2301 4844 2337 4845 2335 4845 2304 4845 2338 4846 2301 4846 2298 4846 2338 4847 2337 4847 2301 4847 2339 4848 2296 4848 2298 4848 2340 4849 2298 4849 2296 4849 2300 4850 2339 4850 2298 4850 2340 4851 2338 4851 2298 4851 2341 4852 2296 4852 2289 4852 2339 4853 2297 4853 2296 4853 2340 4854 2296 4854 2341 4854 2342 4855 2289 4855 2283 4855 2341 4856 2289 4856 2342 4856 2343 4857 2283 4857 2271 4857 2281 4858 2344 4858 2283 4858 2284 4859 2283 4859 2344 4859 2342 4860 2283 4860 2343 4860 2343 4861 2271 4861 2330 4861 2345 4862 2344 4862 2281 4862 2346 4863 2284 4863 2344 4863 2346 4864 2344 4864 2345 4864 2347 4865 2281 4865 2285 4865 2347 4866 2345 4866 2281 4866 2348 4867 2285 4867 2284 4867 2347 4868 2285 4868 2348 4868 2348 4869 2284 4869 2346 4869 2349 4870 2293 4870 2297 4870 2350 4871 2300 4871 2293 4871 2350 4872 2293 4872 2349 4872 2351 4873 2297 4873 2339 4873 2351 4874 2349 4874 2297 4874 2352 4875 2339 4875 2300 4875 2351 4876 2339 4876 2352 4876 2352 4877 2300 4877 2350 4877 2353 4878 2314 4878 2313 4878 2354 4879 2310 4879 2314 4879 2354 4880 2314 4880 2353 4880 2355 4881 2313 4881 2336 4881 2355 4882 2353 4882 2313 4882 2356 4883 2336 4883 2310 4883 2355 4884 2336 4884 2356 4884 2356 4885 2310 4885 2354 4885 2357 4886 2331 4886 2328 4886 2358 4887 2326 4887 2331 4887 2358 4888 2331 4888 2357 4888 2359 4889 2328 4889 2322 4889 2359 4890 2357 4890 2328 4890 2360 4891 2322 4891 2326 4891 2359 4892 2322 4892 2360 4892 2360 4893 2326 4893 2358 4893 2361 4894 2329 4894 2332 4894 2362 4895 2330 4895 2329 4895 2362 4896 2329 4896 2361 4896 2363 4897 2332 4897 2333 4897 2364 4898 2361 4898 2332 4898 2363 4899 2364 4899 2332 4899 2365 4900 2333 4900 2334 4900 2365 4901 2363 4901 2333 4901 2365 4902 2334 4902 2335 4902 2366 4903 2335 4903 2337 4903 2366 4904 2365 4904 2335 4904 2367 4905 2337 4905 2338 4905 2367 4906 2366 4906 2337 4906 2368 4907 2338 4907 2340 4907 2368 4908 2367 4908 2338 4908 2369 4909 2343 4909 2330 4909 2362 4910 2369 4910 2330 4910 2370 4911 2342 4911 2343 4911 2369 4912 2370 4912 2343 4912 2370 4913 2341 4913 2342 4913 2371 4914 2340 4914 2341 4914 2370 4915 2371 4915 2341 4915 2372 4916 2368 4916 2340 4916 2371 4917 2372 4917 2340 4917 2373 4918 2361 4918 2364 4918 2374 4919 2362 4919 2361 4919 2374 4920 2361 4920 2373 4920 2375 4921 2364 4921 2363 4921 2375 4922 2373 4922 2364 4922 2376 4923 2363 4923 2365 4923 2376 4924 2375 4924 2363 4924 2377 4925 2365 4925 2366 4925 2377 4926 2376 4926 2365 4926 2378 4927 2366 4927 2367 4927 2378 4928 2377 4928 2366 4928 2379 4929 2367 4929 2368 4929 2379 4930 2378 4930 2367 4930 2380 4931 2368 4931 2372 4931 2380 4932 2379 4932 2368 4932 2381 4933 2372 4933 2371 4933 2381 4934 2380 4934 2372 4934 2382 4935 2371 4935 2370 4935 2381 4936 2371 4936 2382 4936 2383 4937 2370 4937 2369 4937 2382 4938 2370 4938 2383 4938 2384 4939 2369 4939 2362 4939 2383 4940 2369 4940 2384 4940 2384 4941 2362 4941 2374 4941 2385 4942 2373 4942 2375 4942 2386 4943 2374 4943 2373 4943 2386 4944 2373 4944 2385 4944 2387 4945 2375 4945 2376 4945 2388 4946 2385 4946 2375 4946 2387 4947 2388 4947 2375 4947 2389 4948 2376 4948 2377 4948 2389 4949 2387 4949 2376 4949 2389 4950 2377 4950 2378 4950 2390 4951 2378 4951 2379 4951 2390 4952 2389 4952 2378 4952 2391 4953 2379 4953 2380 4953 2391 4954 2390 4954 2379 4954 2392 4955 2380 4955 2381 4955 2392 4956 2391 4956 2380 4956 2393 4957 2384 4957 2374 4957 2386 4958 2393 4958 2374 4958 2394 4959 2383 4959 2384 4959 2393 4960 2394 4960 2384 4960 2394 4961 2382 4961 2383 4961 2395 4962 2381 4962 2382 4962 2394 4963 2395 4963 2382 4963 2396 4964 2392 4964 2381 4964 2395 4965 2396 4965 2381 4965 2397 4966 2385 4966 2388 4966 2398 4967 2386 4967 2385 4967 2398 4968 2385 4968 2397 4968 2399 4969 2388 4969 2387 4969 2400 4970 2397 4970 2388 4970 2399 4971 2400 4971 2388 4971 2401 4972 2387 4972 2389 4972 2401 4973 2399 4973 2387 4973 2402 4974 2389 4974 2390 4974 2402 4975 2401 4975 2389 4975 2403 4976 2390 4976 2391 4976 2403 4977 2402 4977 2390 4977 2404 4978 2391 4978 2392 4978 2404 4979 2403 4979 2391 4979 2405 4980 2392 4980 2396 4980 2405 4981 2404 4981 2392 4981 2406 4982 2396 4982 2395 4982 2405 4983 2396 4983 2407 4983 2406 4984 2407 4984 2396 4984 2408 4985 2395 4985 2394 4985 2408 4986 2406 4986 2395 4986 2409 4987 2394 4987 2393 4987 2409 4988 2408 4988 2394 4988 2410 4989 2393 4989 2386 4989 2410 4990 2409 4990 2393 4990 2398 4991 2410 4991 2386 4991 2398 4992 2397 4992 2400 4992 2411 4993 2400 4993 2399 4993 2412 4994 2400 4994 2411 4994 2412 4995 2398 4995 2400 4995 2413 4996 2399 4996 2401 4996 2413 4997 2411 4997 2399 4997 2414 4998 2401 4998 2402 4998 2414 4999 2413 4999 2401 4999 2415 5000 2402 5000 2403 5000 2415 5001 2414 5001 2402 5001 2416 5002 2403 5002 2404 5002 2416 5003 2415 5003 2403 5003 2405 5004 2407 5004 2404 5004 2417 5005 2404 5005 2407 5005 2417 5006 2416 5006 2404 5006 2418 5007 2417 5007 2407 5007 2406 5008 2418 5008 2407 5008 2419 5009 2411 5009 2413 5009 2420 5010 2411 5010 2419 5010 2412 5011 2411 5011 2420 5011 2421 5012 2413 5012 2414 5012 2422 5013 2419 5013 2413 5013 2421 5014 2422 5014 2413 5014 2423 5015 2414 5015 2415 5015 2423 5016 2421 5016 2414 5016 2424 5017 2415 5017 2416 5017 2424 5018 2423 5018 2415 5018 2425 5019 2416 5019 2417 5019 2425 5020 2424 5020 2416 5020 2426 5021 2417 5021 2418 5021 2426 5022 2425 5022 2417 5022 2427 5023 2426 5023 2418 5023 2428 5024 2427 5024 2418 5024 2428 5025 2418 5025 2406 5025 2420 5026 2419 5026 2422 5026 2429 5027 2422 5027 2421 5027 2430 5028 2420 5028 2422 5028 2430 5029 2422 5029 2429 5029 2431 5030 2421 5030 2423 5030 2431 5031 2429 5031 2421 5031 2432 5032 2423 5032 2424 5032 2432 5033 2431 5033 2423 5033 2433 5034 2424 5034 2425 5034 2434 5035 2432 5035 2424 5035 2433 5036 2434 5036 2424 5036 2435 5037 2425 5037 2426 5037 2435 5038 2433 5038 2425 5038 2427 5039 2436 5039 2426 5039 2435 5040 2426 5040 2436 5040 2428 5041 2436 5041 2427 5041 2437 5042 2436 5042 2438 5042 2428 5043 2438 5043 2436 5043 2437 5044 2435 5044 2436 5044 2430 5045 2439 5045 2420 5045 2412 5046 2420 5046 2439 5046 2440 5047 2441 5047 2439 5047 2442 5048 2439 5048 2441 5048 2430 5049 2440 5049 2439 5049 2412 5050 2439 5050 2442 5050 2443 5051 2444 5051 2441 5051 2445 5052 2441 5052 2444 5052 2446 5053 2443 5053 2441 5053 2440 5054 2446 5054 2441 5054 2442 5055 2441 5055 2445 5055 2447 5056 2438 5056 2444 5056 2448 5057 2444 5057 2438 5057 2443 5058 2447 5058 2444 5058 2445 5059 2444 5059 2448 5059 2447 5060 2437 5060 2438 5060 2448 5061 2438 5061 2428 5061 2449 5062 2429 5062 2431 5062 2450 5063 2430 5063 2429 5063 2450 5064 2429 5064 2449 5064 2451 5065 2431 5065 2432 5065 2451 5066 2449 5066 2431 5066 2452 5067 2432 5067 2434 5067 2452 5068 2451 5068 2432 5068 2453 5069 2434 5069 2433 5069 2453 5070 2452 5070 2434 5070 2454 5071 2433 5071 2435 5071 2454 5072 2453 5072 2433 5072 2455 5073 2435 5073 2437 5073 2455 5074 2454 5074 2435 5074 2456 5075 2437 5075 2447 5075 2456 5076 2455 5076 2437 5076 2457 5077 2447 5077 2443 5077 2457 5078 2456 5078 2447 5078 2458 5079 2443 5079 2446 5079 2457 5080 2443 5080 2458 5080 2459 5081 2446 5081 2440 5081 2458 5082 2446 5082 2459 5082 2460 5083 2440 5083 2430 5083 2459 5084 2440 5084 2460 5084 2460 5085 2430 5085 2450 5085 2461 5086 2449 5086 2451 5086 2462 5087 2450 5087 2449 5087 2462 5088 2449 5088 2461 5088 2463 5089 2451 5089 2452 5089 2463 5090 2461 5090 2451 5090 2464 5091 2452 5091 2453 5091 2464 5092 2463 5092 2452 5092 2465 5093 2453 5093 2454 5093 2466 5094 2464 5094 2453 5094 2465 5095 2466 5095 2453 5095 2467 5096 2454 5096 2455 5096 2467 5097 2465 5097 2454 5097 2467 5098 2455 5098 2456 5098 2468 5099 2456 5099 2457 5099 2468 5100 2467 5100 2456 5100 2462 5101 2460 5101 2450 5101 2469 5102 2459 5102 2460 5102 2462 5103 2469 5103 2460 5103 2470 5104 2458 5104 2459 5104 2471 5105 2470 5105 2459 5105 2469 5106 2471 5106 2459 5106 2472 5107 2457 5107 2458 5107 2470 5108 2472 5108 2458 5108 2472 5109 2468 5109 2457 5109 2473 5110 2461 5110 2463 5110 2474 5111 2462 5111 2461 5111 2474 5112 2461 5112 2473 5112 2475 5113 2463 5113 2464 5113 2475 5114 2473 5114 2463 5114 2476 5115 2464 5115 2466 5115 2476 5116 2475 5116 2464 5116 2477 5117 2466 5117 2465 5117 2477 5118 2476 5118 2466 5118 2478 5119 2465 5119 2467 5119 2478 5120 2477 5120 2465 5120 2479 5121 2467 5121 2468 5121 2479 5122 2478 5122 2467 5122 2480 5123 2468 5123 2472 5123 2480 5124 2479 5124 2468 5124 2481 5125 2472 5125 2470 5125 2481 5126 2480 5126 2472 5126 2482 5127 2470 5127 2471 5127 2481 5128 2470 5128 2482 5128 2483 5129 2471 5129 2469 5129 2482 5130 2471 5130 2483 5130 2484 5131 2469 5131 2462 5131 2483 5132 2469 5132 2484 5132 2484 5133 2462 5133 2474 5133 2485 5134 2473 5134 2475 5134 2486 5135 2474 5135 2473 5135 2486 5136 2473 5136 2485 5136 2487 5137 2475 5137 2476 5137 2488 5138 2485 5138 2475 5138 2487 5139 2488 5139 2475 5139 2489 5140 2476 5140 2477 5140 2490 5141 2487 5141 2476 5141 2491 5142 2476 5142 2489 5142 2491 5143 2492 5143 2476 5143 2490 5144 2476 5144 2492 5144 2493 5145 2477 5145 2478 5145 2494 5146 2489 5146 2477 5146 2493 5147 2494 5147 2477 5147 2495 5148 2478 5148 2479 5148 2496 5149 2493 5149 2478 5149 2495 5150 2496 5150 2478 5150 2497 5151 2479 5151 2480 5151 2497 5152 2498 5152 2479 5152 2499 5153 2479 5153 2498 5153 2499 5154 2495 5154 2479 5154 2500 5155 2480 5155 2481 5155 2500 5156 2497 5156 2480 5156 2501 5157 2484 5157 2474 5157 2486 5158 2502 5158 2474 5158 2503 5159 2474 5159 2502 5159 2503 5160 2501 5160 2474 5160 2504 5161 2483 5161 2484 5161 2505 5162 2504 5162 2484 5162 2505 5163 2484 5163 2501 5163 2506 5164 2482 5164 2483 5164 2507 5165 2506 5165 2483 5165 2504 5166 2507 5166 2483 5166 2508 5167 2481 5167 2482 5167 2509 5168 2508 5168 2482 5168 2510 5169 2482 5169 2506 5169 2511 5170 2509 5170 2482 5170 2510 5171 2511 5171 2482 5171 2512 5172 2500 5172 2481 5172 2508 5173 2512 5173 2481 5173 2513 5174 2485 5174 2488 5174 2514 5175 2486 5175 2485 5175 2514 5176 2485 5176 2513 5176 2515 5177 2488 5177 2487 5177 2516 5178 2513 5178 2488 5178 2515 5179 2516 5179 2488 5179 2491 5180 2489 5180 2487 5180 2515 5181 2487 5181 2489 5181 2517 5182 2491 5182 2487 5182 2490 5183 2517 5183 2487 5183 2494 5184 2518 5184 2489 5184 2519 5185 2489 5185 2518 5185 2519 5186 2515 5186 2489 5186 2520 5187 2518 5187 2494 5187 2520 5188 2519 5188 2518 5188 2521 5189 2494 5189 2493 5189 2521 5190 2520 5190 2494 5190 2522 5191 2498 5191 2493 5191 2523 5192 2493 5192 2498 5192 2496 5193 2522 5193 2493 5193 2523 5194 2521 5194 2493 5194 2523 5195 2498 5195 2497 5195 2499 5196 2498 5196 2522 5196 2524 5197 2497 5197 2500 5197 2524 5198 2523 5198 2497 5198 2525 5199 2500 5199 2512 5199 2525 5200 2524 5200 2500 5200 2526 5201 2512 5201 2508 5201 2525 5202 2512 5202 2527 5202 2526 5203 2527 5203 2512 5203 2510 5204 2506 5204 2508 5204 2526 5205 2508 5205 2506 5205 2509 5206 2528 5206 2508 5206 2510 5207 2508 5207 2528 5207 2507 5208 2529 5208 2506 5208 2530 5209 2506 5209 2529 5209 2530 5210 2526 5210 2506 5210 2531 5211 2529 5211 2507 5211 2531 5212 2530 5212 2529 5212 2532 5213 2507 5213 2504 5213 2532 5214 2531 5214 2507 5214 2533 5215 2502 5215 2504 5215 2534 5216 2504 5216 2502 5216 2505 5217 2533 5217 2504 5217 2534 5218 2532 5218 2504 5218 2534 5219 2502 5219 2486 5219 2533 5220 2503 5220 2502 5220 2514 5221 2534 5221 2486 5221 2535 5222 2501 5222 2503 5222 2536 5223 2505 5223 2501 5223 2536 5224 2501 5224 2535 5224 2537 5225 2503 5225 2533 5225 2537 5226 2535 5226 2503 5226 2538 5227 2533 5227 2505 5227 2537 5228 2533 5228 2538 5228 2538 5229 2505 5229 2536 5229 2539 5230 2528 5230 2509 5230 2540 5231 2510 5231 2528 5231 2540 5232 2528 5232 2539 5232 2541 5233 2509 5233 2511 5233 2541 5234 2539 5234 2509 5234 2542 5235 2511 5235 2510 5235 2541 5236 2511 5236 2542 5236 2542 5237 2510 5237 2540 5237 2543 5238 2522 5238 2496 5238 2544 5239 2499 5239 2522 5239 2544 5240 2522 5240 2543 5240 2545 5241 2496 5241 2495 5241 2545 5242 2543 5242 2496 5242 2546 5243 2495 5243 2499 5243 2545 5244 2495 5244 2546 5244 2546 5245 2499 5245 2544 5245 2547 5246 2492 5246 2491 5246 2548 5247 2490 5247 2492 5247 2548 5248 2492 5248 2547 5248 2549 5249 2491 5249 2517 5249 2549 5250 2547 5250 2491 5250 2550 5251 2517 5251 2490 5251 2549 5252 2517 5252 2550 5252 2550 5253 2490 5253 2548 5253 2514 5254 2513 5254 2516 5254 2551 5255 2516 5255 2515 5255 2552 5256 2516 5256 2551 5256 2552 5257 2514 5257 2516 5257 2553 5258 2515 5258 2519 5258 2553 5259 2551 5259 2515 5259 2554 5260 2519 5260 2520 5260 2554 5261 2553 5261 2519 5261 2555 5262 2520 5262 2521 5262 2555 5263 2554 5263 2520 5263 2556 5264 2521 5264 2523 5264 2556 5265 2555 5265 2521 5265 2557 5266 2523 5266 2524 5266 2557 5267 2556 5267 2523 5267 2525 5268 2527 5268 2524 5268 2558 5269 2524 5269 2527 5269 2558 5270 2557 5270 2524 5270 2559 5271 2558 5271 2527 5271 2526 5272 2559 5272 2527 5272 2560 5273 2551 5273 2553 5273 2561 5274 2551 5274 2560 5274 2562 5275 2552 5275 2551 5275 2561 5276 2563 5276 2551 5276 2562 5277 2551 5277 2563 5277 2564 5278 2553 5278 2554 5278 2565 5279 2560 5279 2553 5279 2566 5280 2565 5280 2553 5280 2567 5281 2566 5281 2553 5281 2568 5282 2567 5282 2553 5282 2569 5283 2568 5283 2553 5283 2564 5284 2569 5284 2553 5284 2570 5285 2554 5285 2555 5285 2571 5286 2564 5286 2554 5286 2570 5287 2571 5287 2554 5287 2572 5288 2555 5288 2556 5288 2573 5289 2570 5289 2555 5289 2574 5290 2573 5290 2555 5290 2555 5291 2572 5291 2575 5291 2576 5292 2556 5292 2557 5292 2577 5293 2572 5293 2556 5293 2578 5294 2577 5294 2556 5294 2579 5295 2578 5295 2556 5295 2580 5296 2579 5296 2556 5296 2576 5297 2580 5297 2556 5297 2581 5298 2557 5298 2558 5298 2582 5299 2576 5299 2557 5299 2581 5300 2582 5300 2557 5300 2583 5301 2558 5301 2559 5301 2584 5302 2581 5302 2558 5302 2583 5303 2584 5303 2558 5303 2585 5304 2583 5304 2559 5304 2586 5305 2585 5305 2559 5305 2587 5306 2586 5306 2559 5306 2588 5307 2587 5307 2559 5307 2588 5308 2559 5308 2526 5308 2589 5309 2560 5309 2565 5309 2589 5310 2561 5310 2560 5310 2589 5311 2565 5311 2566 5311 2590 5312 2566 5312 2567 5312 2591 5313 2566 5313 2590 5313 2589 5314 2566 5314 2591 5314 2590 5315 2567 5315 2568 5315 2569 5316 2592 5316 2593 5316 2593 5317 2568 5317 2569 5317 2590 5318 2568 5318 2593 5318 2594 5319 2569 5319 2564 5319 2595 5320 2592 5320 2569 5320 2594 5321 2595 5321 2569 5321 2594 5322 2564 5322 2571 5322 2596 5323 2571 5323 2570 5323 2596 5324 2594 5324 2571 5324 2596 5325 2570 5325 2573 5325 2597 5326 2573 5326 2574 5326 2597 5327 2596 5327 2573 5327 2575 5328 2574 5328 2555 5328 2598 5329 2574 5329 2575 5329 2599 5330 2597 5330 2574 5330 2598 5331 2599 5331 2574 5331 2598 5332 2575 5332 2572 5332 2598 5333 2572 5333 2577 5333 2598 5334 2577 5334 2578 5334 2600 5335 2578 5335 2579 5335 2601 5336 2578 5336 2600 5336 2598 5337 2578 5337 2601 5337 2600 5338 2579 5338 2580 5338 2602 5339 2580 5339 2576 5339 2602 5340 2603 5340 2604 5340 2604 5341 2580 5341 2602 5341 2600 5342 2580 5342 2604 5342 2602 5343 2576 5343 2582 5343 2605 5344 2582 5344 2581 5344 2605 5345 2602 5345 2582 5345 2605 5346 2581 5346 2584 5346 2606 5347 2584 5347 2583 5347 2606 5348 2605 5348 2584 5348 2583 5349 2585 5349 2607 5349 2606 5350 2583 5350 2608 5350 2607 5351 2608 5351 2583 5351 2609 5352 2608 5352 2607 5352 2610 5353 2606 5353 2608 5353 2609 5354 2610 5354 2608 5354 2609 5355 2607 5355 2585 5355 2609 5356 2585 5356 2586 5356 2609 5357 2586 5357 2587 5357 2611 5358 2587 5358 2588 5358 2609 5359 2587 5359 2611 5359 2595 5360 2612 5360 2592 5360 2590 5361 2592 5361 2612 5361 2590 5362 2593 5362 2592 5362 2595 5363 2613 5363 2612 5363 2590 5364 2612 5364 2613 5364 2614 5365 2613 5365 2595 5365 2615 5366 2613 5366 2614 5366 2590 5367 2613 5367 2615 5367 2280 5368 2595 5368 2594 5368 2279 5369 2595 5369 2280 5369 2279 5370 2614 5370 2595 5370 2277 5371 2594 5371 2596 5371 2277 5372 2280 5372 2594 5372 2324 5373 2596 5373 2597 5373 2324 5374 2277 5374 2596 5374 2603 5375 2602 5375 2597 5375 2321 5376 2597 5376 2602 5376 2616 5377 2603 5377 2597 5377 2617 5378 2616 5378 2597 5378 2599 5379 2617 5379 2597 5379 2321 5380 2324 5380 2597 5380 2319 5381 2602 5381 2605 5381 2319 5382 2321 5382 2602 5382 2317 5383 2605 5383 2606 5383 2317 5384 2319 5384 2605 5384 2618 5385 2619 5385 2606 5385 2308 5386 2606 5386 2619 5386 2620 5387 2618 5387 2606 5387 2621 5388 2620 5388 2606 5388 2610 5389 2621 5389 2606 5389 2308 5390 2317 5390 2606 5390 2622 5391 2619 5391 2618 5391 2309 5392 2308 5392 2619 5392 2623 5393 2309 5393 2619 5393 2624 5394 2625 5394 2619 5394 2623 5395 2619 5395 2625 5395 2622 5396 2624 5396 2619 5396 2626 5397 2618 5397 2620 5397 2626 5398 2622 5398 2618 5398 2626 5399 2620 5399 2621 5399 2609 5400 2621 5400 2610 5400 2627 5401 2626 5401 2621 5401 2627 5402 2621 5402 2609 5402 2600 5403 2604 5403 2603 5403 2600 5404 2603 5404 2616 5404 2600 5405 2616 5405 2617 5405 2598 5406 2617 5406 2599 5406 2628 5407 2600 5407 2617 5407 2628 5408 2617 5408 2598 5408 2274 5409 2280 5409 2277 5409 2303 5410 2306 5410 2309 5410 2303 5411 2309 5411 2623 5411 2428 5412 2406 5412 2408 5412 2448 5413 2408 5413 2409 5413 2448 5414 2428 5414 2408 5414 2445 5415 2409 5415 2410 5415 2445 5416 2448 5416 2409 5416 2442 5417 2410 5417 2398 5417 2442 5418 2445 5418 2410 5418 2412 5419 2442 5419 2398 5419 2588 5420 2526 5420 2530 5420 2629 5421 2530 5421 2531 5421 2629 5422 2588 5422 2530 5422 2630 5423 2531 5423 2532 5423 2630 5424 2629 5424 2531 5424 2631 5425 2532 5425 2534 5425 2631 5426 2630 5426 2532 5426 2632 5427 2534 5427 2514 5427 2632 5428 2631 5428 2534 5428 2552 5429 2632 5429 2514 5429 2633 5430 2588 5430 2629 5430 2634 5431 2611 5431 2588 5431 2635 5432 2634 5432 2588 5432 2636 5433 2635 5433 2588 5433 2625 5434 2636 5434 2588 5434 2633 5435 2625 5435 2588 5435 2637 5436 2629 5436 2630 5436 2638 5437 2633 5437 2629 5437 2637 5438 2638 5438 2629 5438 2639 5439 2630 5439 2631 5439 2640 5440 2637 5440 2630 5440 2641 5441 2640 5441 2630 5441 2630 5442 2639 5442 2642 5442 2643 5443 2631 5443 2632 5443 2644 5444 2639 5444 2631 5444 2645 5445 2644 5445 2631 5445 2646 5446 2645 5446 2631 5446 2647 5447 2646 5447 2631 5447 2643 5448 2647 5448 2631 5448 2648 5449 2632 5449 2552 5449 2649 5450 2643 5450 2632 5450 2648 5451 2649 5451 2632 5451 2650 5452 2648 5452 2552 5452 2562 5453 2650 5453 2552 5453 2651 5454 2652 5454 2562 5454 2589 5455 2652 5455 2651 5455 2562 5456 2563 5456 2651 5456 2614 5457 2562 5457 2652 5457 2653 5458 2614 5458 2652 5458 2589 5459 2653 5459 2652 5459 2589 5460 2651 5460 2563 5460 2589 5461 2563 5461 2561 5461 2609 5462 2611 5462 2634 5462 2626 5463 2634 5463 2635 5463 2654 5464 2634 5464 2626 5464 2609 5465 2634 5465 2654 5465 2626 5466 2635 5466 2636 5466 2625 5467 2624 5467 2655 5467 2655 5468 2636 5468 2625 5468 2626 5469 2636 5469 2655 5469 2623 5470 2625 5470 2633 5470 2623 5471 2633 5471 2638 5471 2656 5472 2638 5472 2637 5472 2656 5473 2623 5473 2638 5473 2656 5474 2637 5474 2640 5474 2657 5475 2640 5475 2641 5475 2657 5476 2656 5476 2640 5476 2642 5477 2641 5477 2630 5477 2658 5478 2641 5478 2642 5478 2657 5479 2641 5479 2659 5479 2658 5480 2659 5480 2641 5480 2658 5481 2642 5481 2639 5481 2658 5482 2639 5482 2644 5482 2658 5483 2644 5483 2645 5483 2660 5484 2645 5484 2646 5484 2661 5485 2645 5485 2660 5485 2658 5486 2645 5486 2661 5486 2660 5487 2646 5487 2647 5487 2662 5488 2647 5488 2643 5488 2663 5489 2647 5489 2662 5489 2660 5490 2647 5490 2663 5490 2662 5491 2664 5491 2663 5491 2662 5492 2643 5492 2649 5492 2665 5493 2649 5493 2648 5493 2665 5494 2662 5494 2649 5494 2665 5495 2648 5495 2650 5495 2614 5496 2650 5496 2562 5496 2614 5497 2665 5497 2650 5497 2660 5498 2663 5498 2664 5498 2657 5499 2666 5499 2664 5499 2660 5500 2664 5500 2666 5500 2662 5501 2657 5501 2664 5501 2657 5502 2667 5502 2666 5502 2660 5503 2666 5503 2667 5503 2657 5504 2659 5504 2667 5504 2658 5505 2667 5505 2659 5505 2660 5506 2667 5506 2668 5506 2658 5507 2668 5507 2667 5507 2626 5508 2655 5508 2624 5508 2626 5509 2624 5509 2622 5509 2303 5510 2623 5510 2656 5510 2295 5511 2656 5511 2657 5511 2295 5512 2303 5512 2656 5512 2292 5513 2657 5513 2662 5513 2292 5514 2295 5514 2657 5514 2290 5515 2662 5515 2665 5515 2290 5516 2292 5516 2662 5516 2288 5517 2665 5517 2614 5517 2288 5518 2290 5518 2665 5518 2669 5519 2615 5519 2614 5519 2653 5520 2669 5520 2614 5520 2279 5521 2288 5521 2614 5521 2590 5522 2615 5522 2669 5522 2589 5523 2669 5523 2653 5523 2590 5524 2669 5524 2670 5524 2589 5525 2670 5525 2669 5525 2661 5526 2660 5526 2668 5526 2658 5527 2661 5527 2668 5527 2628 5528 2601 5528 2600 5528 2628 5529 2598 5529 2601 5529 2627 5530 2654 5530 2626 5530 2627 5531 2609 5531 2654 5531 2591 5532 2590 5532 2670 5532 2589 5533 2591 5533 2670 5533 2348 5534 2346 5534 2345 5534 2347 5535 2348 5535 2345 5535 2352 5536 2350 5536 2349 5536 2351 5537 2352 5537 2349 5537 2356 5538 2354 5538 2353 5538 2355 5539 2356 5539 2353 5539 2360 5540 2358 5540 2357 5540 2359 5541 2360 5541 2357 5541 2538 5542 2536 5542 2535 5542 2537 5543 2538 5543 2535 5543 2542 5544 2540 5544 2539 5544 2541 5545 2542 5545 2539 5545 2546 5546 2544 5546 2543 5546 2545 5547 2546 5547 2543 5547 2550 5548 2548 5548 2547 5548 2549 5549 2550 5549 2547 5549 2671 5550 2672 5550 2673 5550 2674 5551 2673 5551 2672 5551 2675 5552 2673 5552 2676 5552 2677 5553 2676 5553 2673 5553 2671 5554 2673 5554 2675 5554 2677 5555 2673 5555 2674 5555 2671 5556 2678 5556 2672 5556 2679 5557 2672 5557 2678 5557 2680 5558 2674 5558 2672 5558 2679 5559 2680 5559 2672 5559 2681 5560 2682 5560 2678 5560 2683 5561 2678 5561 2682 5561 2684 5562 2681 5562 2678 5562 2671 5563 2684 5563 2678 5563 2683 5564 2679 5564 2678 5564 2685 5565 2686 5565 2682 5565 2687 5566 2682 5566 2686 5566 2681 5567 2685 5567 2682 5567 2687 5568 2683 5568 2682 5568 2685 5569 2676 5569 2686 5569 2688 5570 2686 5570 2676 5570 2688 5571 2687 5571 2686 5571 2689 5572 2675 5572 2676 5572 2685 5573 2689 5573 2676 5573 2677 5574 2688 5574 2676 5574 2690 5575 2675 5575 2689 5575 2691 5576 2671 5576 2675 5576 2691 5577 2675 5577 2690 5577 2692 5578 2689 5578 2685 5578 2692 5579 2690 5579 2689 5579 2693 5580 2685 5580 2681 5580 2692 5581 2685 5581 2693 5581 2694 5582 2681 5582 2684 5582 2693 5583 2681 5583 2694 5583 2695 5584 2684 5584 2671 5584 2694 5585 2684 5585 2695 5585 2695 5586 2671 5586 2691 5586 2696 5587 2697 5587 2698 5587 2699 5588 2698 5588 2697 5588 2696 5589 2698 5589 2700 5589 2701 5590 2700 5590 2698 5590 2702 5591 2698 5591 2699 5591 2703 5592 2698 5592 2702 5592 2704 5593 2698 5593 2703 5593 2704 5594 2701 5594 2698 5594 2705 5595 2706 5595 2697 5595 2707 5596 2697 5596 2706 5596 2705 5597 2697 5597 2696 5597 2699 5598 2697 5598 2707 5598 2708 5599 2700 5599 2706 5599 2709 5600 2706 5600 2700 5600 2705 5601 2708 5601 2706 5601 2707 5602 2706 5602 2709 5602 2710 5603 2696 5603 2700 5603 2708 5604 2710 5604 2700 5604 2711 5605 2700 5605 2712 5605 2713 5606 2712 5606 2700 5606 2709 5607 2700 5607 2711 5607 2701 5608 2713 5608 2700 5608 2705 5609 2714 5609 2715 5609 2716 5610 2715 5610 2714 5610 2705 5611 2715 5611 2717 5611 2718 5612 2717 5612 2715 5612 2719 5613 2715 5613 2716 5613 2720 5614 2715 5614 2719 5614 2718 5615 2715 5615 2720 5615 2696 5616 2721 5616 2714 5616 2722 5617 2714 5617 2721 5617 2705 5618 2696 5618 2714 5618 2716 5619 2714 5619 2722 5619 2723 5620 2717 5620 2721 5620 2724 5621 2721 5621 2717 5621 2723 5622 2721 5622 2696 5622 2722 5623 2721 5623 2724 5623 2725 5624 2705 5624 2717 5624 2723 5625 2725 5625 2717 5625 2726 5626 2717 5626 2727 5626 2718 5627 2727 5627 2717 5627 2724 5628 2717 5628 2726 5628 2728 5629 2696 5629 2710 5629 2729 5630 2723 5630 2696 5630 2729 5631 2696 5631 2728 5631 2730 5632 2710 5632 2708 5632 2728 5633 2710 5633 2730 5633 2731 5634 2708 5634 2705 5634 2730 5635 2708 5635 2731 5635 2732 5636 2705 5636 2725 5636 2731 5637 2705 5637 2732 5637 2733 5638 2725 5638 2723 5638 2733 5639 2732 5639 2725 5639 2733 5640 2723 5640 2729 5640 2730 5641 2691 5641 2690 5641 2728 5642 2730 5642 2690 5642 2692 5643 2728 5643 2690 5643 2731 5644 2695 5644 2691 5644 2730 5645 2731 5645 2691 5645 2732 5646 2694 5646 2695 5646 2731 5647 2732 5647 2695 5647 2733 5648 2694 5648 2732 5648 2733 5649 2693 5649 2694 5649 2729 5650 2728 5650 2692 5650 2729 5651 2692 5651 2693 5651 2733 5652 2729 5652 2693 5652 2734 5653 2726 5653 2727 5653 2677 5654 2734 5654 2727 5654 2718 5655 2677 5655 2727 5655 2734 5656 2724 5656 2726 5656 2707 5657 2722 5657 2724 5657 2699 5658 2707 5658 2724 5658 2734 5659 2699 5659 2724 5659 2709 5660 2716 5660 2722 5660 2707 5661 2709 5661 2722 5661 2735 5662 2719 5662 2716 5662 2736 5663 2735 5663 2716 5663 2709 5664 2736 5664 2716 5664 2735 5665 2720 5665 2719 5665 2688 5666 2720 5666 2735 5666 2677 5667 2720 5667 2688 5667 2718 5668 2720 5668 2677 5668 2736 5669 2737 5669 2735 5669 2688 5670 2735 5670 2737 5670 2687 5671 2737 5671 2736 5671 2688 5672 2737 5672 2687 5672 2711 5673 2712 5673 2736 5673 2683 5674 2736 5674 2712 5674 2709 5675 2711 5675 2736 5675 2687 5676 2736 5676 2683 5676 2713 5677 2683 5677 2712 5677 2734 5678 2702 5678 2699 5678 2738 5679 2703 5679 2702 5679 2734 5680 2738 5680 2702 5680 2680 5681 2703 5681 2738 5681 2679 5682 2703 5682 2680 5682 2704 5683 2703 5683 2679 5683 2734 5684 2739 5684 2738 5684 2680 5685 2738 5685 2739 5685 2674 5686 2739 5686 2734 5686 2680 5687 2739 5687 2674 5687 2677 5688 2674 5688 2734 5688 2713 5689 2679 5689 2683 5689 2701 5690 2679 5690 2713 5690 2704 5691 2679 5691 2701 5691 2740 5692 2741 5692 2742 5692 2743 5693 2742 5693 2741 5693 2744 5694 2742 5694 2745 5694 2746 5695 2745 5695 2742 5695 2740 5696 2742 5696 2744 5696 2743 5697 2746 5697 2742 5697 2747 5698 2748 5698 2741 5698 2749 5699 2741 5699 2748 5699 2750 5700 2747 5700 2741 5700 2740 5701 2750 5701 2741 5701 2749 5702 2743 5702 2741 5702 2751 5703 2745 5703 2748 5703 2752 5704 2748 5704 2745 5704 2747 5705 2751 5705 2748 5705 2749 5706 2748 5706 2752 5706 2753 5707 2744 5707 2745 5707 2751 5708 2753 5708 2745 5708 2746 5709 2752 5709 2745 5709 2754 5710 2744 5710 2753 5710 2755 5711 2740 5711 2744 5711 2754 5712 2755 5712 2744 5712 2751 5713 2756 5713 2753 5713 2757 5714 2753 5714 2756 5714 2758 5715 2753 5715 2757 5715 2754 5716 2753 5716 2758 5716 2759 5717 2756 5717 2751 5717 2757 5718 2756 5718 2759 5718 2760 5719 2751 5719 2747 5719 2759 5720 2751 5720 2760 5720 2761 5721 2747 5721 2750 5721 2761 5722 2760 5722 2747 5722 2740 5723 2762 5723 2750 5723 2763 5724 2750 5724 2762 5724 2763 5725 2764 5725 2750 5725 2761 5726 2750 5726 2764 5726 2765 5727 2762 5727 2740 5727 2763 5728 2762 5728 2765 5728 2765 5729 2740 5729 2755 5729 2766 5730 2752 5730 2746 5730 2766 5731 2767 5731 2752 5731 2749 5732 2752 5732 2767 5732 2768 5733 2746 5733 2743 5733 2768 5734 2766 5734 2746 5734 2768 5735 2743 5735 2769 5735 2749 5736 2769 5736 2743 5736 2749 5737 2767 5737 2769 5737 2770 5738 2769 5738 2767 5738 2771 5739 2768 5739 2769 5739 2770 5740 2771 5740 2769 5740 2772 5741 2767 5741 2766 5741 2772 5742 2770 5742 2767 5742 2773 5743 2766 5743 2768 5743 2772 5744 2766 5744 2773 5744 2771 5745 2773 5745 2768 5745 2770 5746 2773 5746 2771 5746 2772 5747 2773 5747 2770 5747 2774 5748 2775 5748 2776 5748 2777 5749 2776 5749 2775 5749 2778 5750 2774 5750 2776 5750 2778 5751 2776 5751 2777 5751 2779 5752 2780 5752 2775 5752 2781 5753 2775 5753 2780 5753 2782 5754 2775 5754 2774 5754 2782 5755 2783 5755 2775 5755 2779 5756 2775 5756 2783 5756 2781 5757 2777 5757 2775 5757 2784 5758 2785 5758 2780 5758 2786 5759 2780 5759 2785 5759 2779 5760 2784 5760 2780 5760 2781 5761 2780 5761 2786 5761 2787 5762 2788 5762 2785 5762 2789 5763 2785 5763 2788 5763 2784 5764 2787 5764 2785 5764 2786 5765 2785 5765 2789 5765 2790 5766 2788 5766 2787 5766 2789 5767 2788 5767 2790 5767 2791 5768 2792 5768 2787 5768 2793 5769 2787 5769 2792 5769 2794 5770 2791 5770 2787 5770 2784 5771 2794 5771 2787 5771 2790 5772 2787 5772 2793 5772 2782 5773 2774 5773 2792 5773 2795 5774 2792 5774 2774 5774 2791 5775 2782 5775 2792 5775 2793 5776 2792 5776 2795 5776 2795 5777 2774 5777 2778 5777 2796 5778 2783 5778 2782 5778 2797 5779 2779 5779 2783 5779 2796 5780 2797 5780 2783 5780 2798 5781 2782 5781 2791 5781 2796 5782 2782 5782 2798 5782 2799 5783 2791 5783 2794 5783 2798 5784 2791 5784 2799 5784 2800 5785 2794 5785 2784 5785 2799 5786 2794 5786 2800 5786 2801 5787 2784 5787 2779 5787 2800 5788 2784 5788 2801 5788 2801 5789 2779 5789 2797 5789 2757 5790 2778 5790 2777 5790 2758 5791 2757 5791 2777 5791 2781 5792 2758 5792 2777 5792 2759 5793 2795 5793 2778 5793 2757 5794 2759 5794 2778 5794 2760 5795 2793 5795 2795 5795 2759 5796 2760 5796 2795 5796 2764 5797 2790 5797 2793 5797 2760 5798 2764 5798 2793 5798 2763 5799 2790 5799 2764 5799 2789 5800 2790 5800 2763 5800 2761 5801 2764 5801 2760 5801 2781 5802 2755 5802 2758 5802 2754 5803 2758 5803 2755 5803 2786 5804 2765 5804 2755 5804 2781 5805 2786 5805 2755 5805 2789 5806 2763 5806 2765 5806 2786 5807 2789 5807 2765 5807 2800 5808 2801 5808 2797 5808 2796 5809 2800 5809 2797 5809 2796 5810 2799 5810 2800 5810 2796 5811 2798 5811 2799 5811 2802 5812 2803 5812 2804 5812 2805 5813 2804 5813 2803 5813 2806 5814 2804 5814 2807 5814 2808 5815 2807 5815 2804 5815 2802 5816 2804 5816 2806 5816 2805 5817 2808 5817 2804 5817 2809 5818 2810 5818 2803 5818 2811 5819 2803 5819 2810 5819 2812 5820 2809 5820 2803 5820 2802 5821 2812 5821 2803 5821 2811 5822 2805 5822 2803 5822 2813 5823 2807 5823 2810 5823 2814 5824 2810 5824 2807 5824 2809 5825 2813 5825 2810 5825 2811 5826 2810 5826 2814 5826 2815 5827 2806 5827 2807 5827 2813 5828 2815 5828 2807 5828 2808 5829 2814 5829 2807 5829 2816 5830 2806 5830 2815 5830 2817 5831 2802 5831 2806 5831 2816 5832 2817 5832 2806 5832 2813 5833 2818 5833 2815 5833 2819 5834 2815 5834 2818 5834 2820 5835 2815 5835 2819 5835 2816 5836 2815 5836 2820 5836 2821 5837 2818 5837 2813 5837 2819 5838 2818 5838 2821 5838 2822 5839 2813 5839 2809 5839 2821 5840 2813 5840 2822 5840 2823 5841 2809 5841 2812 5841 2823 5842 2822 5842 2809 5842 2802 5843 2824 5843 2812 5843 2825 5844 2812 5844 2824 5844 2825 5845 2826 5845 2812 5845 2823 5846 2812 5846 2826 5846 2827 5847 2824 5847 2802 5847 2825 5848 2824 5848 2827 5848 2827 5849 2802 5849 2817 5849 2828 5850 2814 5850 2808 5850 2828 5851 2829 5851 2814 5851 2811 5852 2814 5852 2829 5852 2830 5853 2808 5853 2805 5853 2830 5854 2828 5854 2808 5854 2830 5855 2805 5855 2831 5855 2811 5856 2831 5856 2805 5856 2811 5857 2829 5857 2831 5857 2832 5858 2831 5858 2829 5858 2833 5859 2830 5859 2831 5859 2832 5860 2833 5860 2831 5860 2834 5861 2829 5861 2828 5861 2834 5862 2832 5862 2829 5862 2835 5863 2828 5863 2830 5863 2834 5864 2828 5864 2835 5864 2833 5865 2835 5865 2830 5865 2832 5866 2835 5866 2833 5866 2834 5867 2835 5867 2832 5867 2836 5868 2837 5868 2838 5868 2839 5869 2838 5869 2837 5869 2840 5870 2836 5870 2838 5870 2840 5871 2838 5871 2839 5871 2841 5872 2842 5872 2837 5872 2843 5873 2837 5873 2842 5873 2844 5874 2837 5874 2836 5874 2844 5875 2845 5875 2837 5875 2841 5876 2837 5876 2845 5876 2843 5877 2839 5877 2837 5877 2846 5878 2847 5878 2842 5878 2848 5879 2842 5879 2847 5879 2841 5880 2846 5880 2842 5880 2843 5881 2842 5881 2848 5881 2849 5882 2850 5882 2847 5882 2851 5883 2847 5883 2850 5883 2846 5884 2849 5884 2847 5884 2848 5885 2847 5885 2851 5885 2852 5886 2850 5886 2849 5886 2851 5887 2850 5887 2852 5887 2853 5888 2854 5888 2849 5888 2855 5889 2849 5889 2854 5889 2856 5890 2853 5890 2849 5890 2846 5891 2856 5891 2849 5891 2852 5892 2849 5892 2855 5892 2844 5893 2836 5893 2854 5893 2857 5894 2854 5894 2836 5894 2853 5895 2844 5895 2854 5895 2855 5896 2854 5896 2857 5896 2857 5897 2836 5897 2840 5897 2858 5898 2845 5898 2844 5898 2859 5899 2841 5899 2845 5899 2858 5900 2859 5900 2845 5900 2860 5901 2844 5901 2853 5901 2858 5902 2844 5902 2860 5902 2861 5903 2853 5903 2856 5903 2860 5904 2853 5904 2861 5904 2862 5905 2856 5905 2846 5905 2861 5906 2856 5906 2862 5906 2863 5907 2846 5907 2841 5907 2862 5908 2846 5908 2863 5908 2863 5909 2841 5909 2859 5909 2819 5910 2840 5910 2839 5910 2820 5911 2819 5911 2839 5911 2843 5912 2820 5912 2839 5912 2821 5913 2857 5913 2840 5913 2819 5914 2821 5914 2840 5914 2822 5915 2855 5915 2857 5915 2821 5916 2822 5916 2857 5916 2826 5917 2852 5917 2855 5917 2822 5918 2826 5918 2855 5918 2825 5919 2852 5919 2826 5919 2851 5920 2852 5920 2825 5920 2823 5921 2826 5921 2822 5921 2843 5922 2817 5922 2820 5922 2816 5923 2820 5923 2817 5923 2848 5924 2827 5924 2817 5924 2843 5925 2848 5925 2817 5925 2851 5926 2825 5926 2827 5926 2848 5927 2851 5927 2827 5927 2862 5928 2863 5928 2859 5928 2858 5929 2862 5929 2859 5929 2858 5930 2861 5930 2862 5930 2858 5931 2860 5931 2861 5931 2864 5932 2865 5932 2866 5932 2867 5933 2866 5933 2865 5933 2868 5934 2866 5934 2869 5934 2870 5935 2869 5935 2866 5935 2864 5936 2866 5936 2868 5936 2867 5937 2870 5937 2866 5937 2871 5938 2872 5938 2865 5938 2873 5939 2865 5939 2872 5939 2874 5940 2871 5940 2865 5940 2864 5941 2874 5941 2865 5941 2873 5942 2867 5942 2865 5942 2875 5943 2869 5943 2872 5943 2876 5944 2872 5944 2869 5944 2871 5945 2875 5945 2872 5945 2873 5946 2872 5946 2876 5946 2877 5947 2868 5947 2869 5947 2875 5948 2877 5948 2869 5948 2870 5949 2876 5949 2869 5949 2878 5950 2868 5950 2877 5950 2879 5951 2864 5951 2868 5951 2878 5952 2879 5952 2868 5952 2875 5953 2880 5953 2877 5953 2881 5954 2877 5954 2880 5954 2882 5955 2877 5955 2881 5955 2878 5956 2877 5956 2882 5956 2883 5957 2880 5957 2875 5957 2881 5958 2880 5958 2883 5958 2884 5959 2875 5959 2871 5959 2883 5960 2875 5960 2884 5960 2885 5961 2871 5961 2874 5961 2885 5962 2884 5962 2871 5962 2864 5963 2886 5963 2874 5963 2887 5964 2874 5964 2886 5964 2887 5965 2888 5965 2874 5965 2885 5966 2874 5966 2888 5966 2889 5967 2886 5967 2864 5967 2887 5968 2886 5968 2889 5968 2889 5969 2864 5969 2879 5969 2890 5970 2876 5970 2870 5970 2890 5971 2891 5971 2876 5971 2873 5972 2876 5972 2891 5972 2892 5973 2870 5973 2867 5973 2892 5974 2890 5974 2870 5974 2892 5975 2867 5975 2893 5975 2873 5976 2893 5976 2867 5976 2873 5977 2891 5977 2893 5977 2894 5978 2893 5978 2891 5978 2895 5979 2892 5979 2893 5979 2894 5980 2895 5980 2893 5980 2896 5981 2891 5981 2890 5981 2896 5982 2894 5982 2891 5982 2897 5983 2890 5983 2892 5983 2896 5984 2890 5984 2897 5984 2895 5985 2897 5985 2892 5985 2894 5986 2897 5986 2895 5986 2896 5987 2897 5987 2894 5987 2898 5988 2899 5988 2900 5988 2901 5989 2900 5989 2899 5989 2902 5990 2898 5990 2900 5990 2902 5991 2900 5991 2901 5991 2903 5992 2904 5992 2899 5992 2905 5993 2899 5993 2904 5993 2906 5994 2899 5994 2898 5994 2906 5995 2907 5995 2899 5995 2903 5996 2899 5996 2907 5996 2905 5997 2901 5997 2899 5997 2908 5998 2909 5998 2904 5998 2910 5999 2904 5999 2909 5999 2903 6000 2908 6000 2904 6000 2905 6001 2904 6001 2910 6001 2911 6002 2912 6002 2909 6002 2913 6003 2909 6003 2912 6003 2908 6004 2911 6004 2909 6004 2910 6005 2909 6005 2913 6005 2914 6006 2912 6006 2911 6006 2913 6007 2912 6007 2914 6007 2915 6008 2916 6008 2911 6008 2917 6009 2911 6009 2916 6009 2918 6010 2915 6010 2911 6010 2908 6011 2918 6011 2911 6011 2914 6012 2911 6012 2917 6012 2906 6013 2898 6013 2916 6013 2919 6014 2916 6014 2898 6014 2915 6015 2906 6015 2916 6015 2917 6016 2916 6016 2919 6016 2919 6017 2898 6017 2902 6017 2920 6018 2907 6018 2906 6018 2921 6019 2903 6019 2907 6019 2920 6020 2921 6020 2907 6020 2922 6021 2906 6021 2915 6021 2920 6022 2906 6022 2922 6022 2923 6023 2915 6023 2918 6023 2922 6024 2915 6024 2923 6024 2924 6025 2918 6025 2908 6025 2923 6026 2918 6026 2924 6026 2925 6027 2908 6027 2903 6027 2924 6028 2908 6028 2925 6028 2925 6029 2903 6029 2921 6029 2881 6030 2902 6030 2901 6030 2882 6031 2881 6031 2901 6031 2905 6032 2882 6032 2901 6032 2883 6033 2919 6033 2902 6033 2881 6034 2883 6034 2902 6034 2884 6035 2917 6035 2919 6035 2883 6036 2884 6036 2919 6036 2888 6037 2914 6037 2917 6037 2884 6038 2888 6038 2917 6038 2887 6039 2914 6039 2888 6039 2913 6040 2914 6040 2887 6040 2885 6041 2888 6041 2884 6041 2905 6042 2879 6042 2882 6042 2878 6043 2882 6043 2879 6043 2910 6044 2889 6044 2879 6044 2905 6045 2910 6045 2879 6045 2913 6046 2887 6046 2889 6046 2910 6047 2913 6047 2889 6047 2924 6048 2925 6048 2921 6048 2920 6049 2924 6049 2921 6049 2920 6050 2923 6050 2924 6050 2920 6051 2922 6051 2923 6051 2926 6052 2927 6052 2928 6052 2929 6053 2928 6053 2927 6053 2930 6054 2928 6054 2931 6054 2932 6055 2931 6055 2928 6055 2926 6056 2928 6056 2930 6056 2929 6057 2932 6057 2928 6057 2933 6058 2934 6058 2927 6058 2935 6059 2927 6059 2934 6059 2936 6060 2933 6060 2927 6060 2926 6061 2936 6061 2927 6061 2935 6062 2929 6062 2927 6062 2937 6063 2931 6063 2934 6063 2938 6064 2934 6064 2931 6064 2933 6065 2937 6065 2934 6065 2935 6066 2934 6066 2938 6066 2939 6067 2930 6067 2931 6067 2937 6068 2939 6068 2931 6068 2932 6069 2938 6069 2931 6069 2940 6070 2930 6070 2939 6070 2941 6071 2926 6071 2930 6071 2940 6072 2941 6072 2930 6072 2937 6073 2942 6073 2939 6073 2943 6074 2939 6074 2942 6074 2944 6075 2939 6075 2943 6075 2940 6076 2939 6076 2944 6076 2945 6077 2942 6077 2937 6077 2943 6078 2942 6078 2945 6078 2946 6079 2937 6079 2933 6079 2945 6080 2937 6080 2946 6080 2947 6081 2933 6081 2936 6081 2947 6082 2946 6082 2933 6082 2926 6083 2948 6083 2936 6083 2949 6084 2936 6084 2948 6084 2949 6085 2950 6085 2936 6085 2947 6086 2936 6086 2950 6086 2951 6087 2948 6087 2926 6087 2949 6088 2948 6088 2951 6088 2951 6089 2926 6089 2941 6089 2952 6090 2938 6090 2932 6090 2952 6091 2953 6091 2938 6091 2935 6092 2938 6092 2953 6092 2954 6093 2932 6093 2929 6093 2954 6094 2952 6094 2932 6094 2954 6095 2929 6095 2955 6095 2935 6096 2955 6096 2929 6096 2935 6097 2953 6097 2955 6097 2956 6098 2955 6098 2953 6098 2957 6099 2954 6099 2955 6099 2956 6100 2957 6100 2955 6100 2958 6101 2953 6101 2952 6101 2958 6102 2956 6102 2953 6102 2959 6103 2952 6103 2954 6103 2958 6104 2952 6104 2959 6104 2957 6105 2959 6105 2954 6105 2956 6106 2959 6106 2957 6106 2958 6107 2959 6107 2956 6107 2960 6108 2961 6108 2962 6108 2963 6109 2962 6109 2961 6109 2964 6110 2960 6110 2962 6110 2964 6111 2962 6111 2963 6111 2965 6112 2966 6112 2961 6112 2967 6113 2961 6113 2966 6113 2968 6114 2961 6114 2960 6114 2968 6115 2969 6115 2961 6115 2965 6116 2961 6116 2969 6116 2967 6117 2963 6117 2961 6117 2970 6118 2971 6118 2966 6118 2972 6119 2966 6119 2971 6119 2965 6120 2970 6120 2966 6120 2967 6121 2966 6121 2972 6121 2973 6122 2974 6122 2971 6122 2975 6123 2971 6123 2974 6123 2970 6124 2973 6124 2971 6124 2972 6125 2971 6125 2975 6125 2976 6126 2974 6126 2973 6126 2975 6127 2974 6127 2976 6127 2977 6128 2978 6128 2973 6128 2979 6129 2973 6129 2978 6129 2980 6130 2977 6130 2973 6130 2970 6131 2980 6131 2973 6131 2976 6132 2973 6132 2979 6132 2968 6133 2960 6133 2978 6133 2981 6134 2978 6134 2960 6134 2977 6135 2968 6135 2978 6135 2979 6136 2978 6136 2981 6136 2981 6137 2960 6137 2964 6137 2982 6138 2969 6138 2968 6138 2983 6139 2965 6139 2969 6139 2982 6140 2983 6140 2969 6140 2984 6141 2968 6141 2977 6141 2982 6142 2968 6142 2984 6142 2985 6143 2977 6143 2980 6143 2984 6144 2977 6144 2985 6144 2986 6145 2980 6145 2970 6145 2985 6146 2980 6146 2986 6146 2987 6147 2970 6147 2965 6147 2986 6148 2970 6148 2987 6148 2987 6149 2965 6149 2983 6149 2943 6150 2964 6150 2963 6150 2944 6151 2943 6151 2963 6151 2967 6152 2944 6152 2963 6152 2945 6153 2981 6153 2964 6153 2943 6154 2945 6154 2964 6154 2946 6155 2979 6155 2981 6155 2945 6156 2946 6156 2981 6156 2950 6157 2976 6157 2979 6157 2946 6158 2950 6158 2979 6158 2949 6159 2976 6159 2950 6159 2975 6160 2976 6160 2949 6160 2947 6161 2950 6161 2946 6161 2967 6162 2941 6162 2944 6162 2940 6163 2944 6163 2941 6163 2972 6164 2951 6164 2941 6164 2967 6165 2972 6165 2941 6165 2975 6166 2949 6166 2951 6166 2972 6167 2975 6167 2951 6167 2986 6168 2987 6168 2983 6168 2982 6169 2986 6169 2983 6169 2982 6170 2985 6170 2986 6170 2982 6171 2984 6171 2985 6171 2988 6172 2989 6172 2990 6172 2991 6173 2990 6173 2989 6173 2992 6174 2990 6174 2993 6174 2994 6175 2993 6175 2990 6175 2988 6176 2990 6176 2992 6176 2991 6177 2994 6177 2990 6177 2995 6178 2996 6178 2989 6178 2997 6179 2989 6179 2996 6179 2998 6180 2995 6180 2989 6180 2988 6181 2998 6181 2989 6181 2997 6182 2991 6182 2989 6182 2999 6183 2993 6183 2996 6183 3000 6184 2996 6184 2993 6184 2995 6185 2999 6185 2996 6185 2997 6186 2996 6186 3000 6186 3001 6187 2992 6187 2993 6187 2999 6188 3001 6188 2993 6188 2994 6189 3000 6189 2993 6189 3002 6190 2992 6190 3001 6190 3003 6191 2988 6191 2992 6191 3002 6192 3003 6192 2992 6192 2999 6193 3004 6193 3001 6193 3005 6194 3001 6194 3004 6194 3006 6195 3001 6195 3005 6195 3002 6196 3001 6196 3006 6196 3007 6197 3004 6197 2999 6197 3005 6198 3004 6198 3007 6198 3008 6199 2999 6199 2995 6199 3007 6200 2999 6200 3008 6200 3009 6201 2995 6201 2998 6201 3009 6202 3008 6202 2995 6202 2988 6203 3010 6203 2998 6203 3011 6204 2998 6204 3010 6204 3011 6205 3012 6205 2998 6205 3009 6206 2998 6206 3012 6206 3013 6207 3010 6207 2988 6207 3011 6208 3010 6208 3013 6208 3013 6209 2988 6209 3003 6209 3014 6210 3000 6210 2994 6210 3014 6211 3015 6211 3000 6211 2997 6212 3000 6212 3015 6212 3016 6213 2994 6213 2991 6213 3016 6214 3014 6214 2994 6214 3016 6215 2991 6215 3017 6215 2997 6216 3017 6216 2991 6216 2997 6217 3015 6217 3017 6217 3018 6218 3017 6218 3015 6218 3019 6219 3016 6219 3017 6219 3018 6220 3019 6220 3017 6220 3020 6221 3015 6221 3014 6221 3020 6222 3018 6222 3015 6222 3021 6223 3014 6223 3016 6223 3020 6224 3014 6224 3021 6224 3019 6225 3021 6225 3016 6225 3018 6226 3021 6226 3019 6226 3020 6227 3021 6227 3018 6227 3022 6228 3023 6228 3024 6228 3025 6229 3024 6229 3023 6229 3026 6230 3022 6230 3024 6230 3026 6231 3024 6231 3025 6231 3027 6232 3028 6232 3023 6232 3029 6233 3023 6233 3028 6233 3030 6234 3023 6234 3022 6234 3030 6235 3031 6235 3023 6235 3027 6236 3023 6236 3031 6236 3029 6237 3025 6237 3023 6237 3032 6238 3033 6238 3028 6238 3034 6239 3028 6239 3033 6239 3027 6240 3032 6240 3028 6240 3029 6241 3028 6241 3034 6241 3035 6242 3036 6242 3033 6242 3037 6243 3033 6243 3036 6243 3032 6244 3035 6244 3033 6244 3034 6245 3033 6245 3037 6245 3038 6246 3036 6246 3035 6246 3037 6247 3036 6247 3038 6247 3039 6248 3040 6248 3035 6248 3041 6249 3035 6249 3040 6249 3042 6250 3039 6250 3035 6250 3032 6251 3042 6251 3035 6251 3038 6252 3035 6252 3041 6252 3030 6253 3022 6253 3040 6253 3043 6254 3040 6254 3022 6254 3039 6255 3030 6255 3040 6255 3041 6256 3040 6256 3043 6256 3043 6257 3022 6257 3026 6257 3044 6258 3031 6258 3030 6258 3045 6259 3027 6259 3031 6259 3044 6260 3045 6260 3031 6260 3046 6261 3030 6261 3039 6261 3044 6262 3030 6262 3046 6262 3047 6263 3039 6263 3042 6263 3046 6264 3039 6264 3047 6264 3048 6265 3042 6265 3032 6265 3047 6266 3042 6266 3048 6266 3049 6267 3032 6267 3027 6267 3048 6268 3032 6268 3049 6268 3049 6269 3027 6269 3045 6269 3005 6270 3026 6270 3025 6270 3006 6271 3005 6271 3025 6271 3029 6272 3006 6272 3025 6272 3007 6273 3043 6273 3026 6273 3005 6274 3007 6274 3026 6274 3008 6275 3041 6275 3043 6275 3007 6276 3008 6276 3043 6276 3012 6277 3038 6277 3041 6277 3008 6278 3012 6278 3041 6278 3011 6279 3038 6279 3012 6279 3037 6280 3038 6280 3011 6280 3009 6281 3012 6281 3008 6281 3029 6282 3003 6282 3006 6282 3002 6283 3006 6283 3003 6283 3034 6284 3013 6284 3003 6284 3029 6285 3034 6285 3003 6285 3037 6286 3011 6286 3013 6286 3034 6287 3037 6287 3013 6287 3048 6288 3049 6288 3045 6288 3044 6289 3048 6289 3045 6289 3044 6290 3047 6290 3048 6290 3044 6291 3046 6291 3047 6291 3050 6292 3051 6292 3052 6292 3053 6293 3052 6293 3051 6293 3054 6294 3052 6294 3055 6294 3056 6295 3055 6295 3052 6295 3050 6296 3052 6296 3054 6296 3053 6297 3056 6297 3052 6297 3057 6298 3058 6298 3051 6298 3059 6299 3051 6299 3058 6299 3060 6300 3057 6300 3051 6300 3050 6301 3060 6301 3051 6301 3059 6302 3053 6302 3051 6302 3061 6303 3055 6303 3058 6303 3062 6304 3058 6304 3055 6304 3057 6305 3061 6305 3058 6305 3059 6306 3058 6306 3062 6306 3063 6307 3054 6307 3055 6307 3061 6308 3063 6308 3055 6308 3056 6309 3062 6309 3055 6309 3064 6310 3054 6310 3063 6310 3065 6311 3050 6311 3054 6311 3064 6312 3065 6312 3054 6312 3061 6313 3066 6313 3063 6313 3067 6314 3063 6314 3066 6314 3068 6315 3063 6315 3067 6315 3064 6316 3063 6316 3068 6316 3069 6317 3066 6317 3061 6317 3067 6318 3066 6318 3069 6318 3070 6319 3061 6319 3057 6319 3069 6320 3061 6320 3070 6320 3071 6321 3057 6321 3060 6321 3071 6322 3070 6322 3057 6322 3050 6323 3072 6323 3060 6323 3073 6324 3060 6324 3072 6324 3073 6325 3074 6325 3060 6325 3071 6326 3060 6326 3074 6326 3075 6327 3072 6327 3050 6327 3073 6328 3072 6328 3075 6328 3075 6329 3050 6329 3065 6329 3076 6330 3062 6330 3056 6330 3076 6331 3077 6331 3062 6331 3059 6332 3062 6332 3077 6332 3078 6333 3056 6333 3053 6333 3078 6334 3076 6334 3056 6334 3078 6335 3053 6335 3079 6335 3059 6336 3079 6336 3053 6336 3059 6337 3077 6337 3079 6337 3080 6338 3079 6338 3077 6338 3081 6339 3078 6339 3079 6339 3080 6340 3081 6340 3079 6340 3082 6341 3077 6341 3076 6341 3082 6342 3080 6342 3077 6342 3083 6343 3076 6343 3078 6343 3082 6344 3076 6344 3083 6344 3081 6345 3083 6345 3078 6345 3080 6346 3083 6346 3081 6346 3082 6347 3083 6347 3080 6347 3084 6348 3085 6348 3086 6348 3087 6349 3086 6349 3085 6349 3088 6350 3084 6350 3086 6350 3088 6351 3086 6351 3087 6351 3089 6352 3090 6352 3085 6352 3091 6353 3085 6353 3090 6353 3092 6354 3085 6354 3084 6354 3092 6355 3093 6355 3085 6355 3089 6356 3085 6356 3093 6356 3091 6357 3087 6357 3085 6357 3094 6358 3095 6358 3090 6358 3096 6359 3090 6359 3095 6359 3089 6360 3094 6360 3090 6360 3091 6361 3090 6361 3096 6361 3097 6362 3098 6362 3095 6362 3099 6363 3095 6363 3098 6363 3094 6364 3097 6364 3095 6364 3096 6365 3095 6365 3099 6365 3100 6366 3098 6366 3097 6366 3099 6367 3098 6367 3100 6367 3101 6368 3102 6368 3097 6368 3103 6369 3097 6369 3102 6369 3104 6370 3101 6370 3097 6370 3094 6371 3104 6371 3097 6371 3100 6372 3097 6372 3103 6372 3092 6373 3084 6373 3102 6373 3105 6374 3102 6374 3084 6374 3101 6375 3092 6375 3102 6375 3103 6376 3102 6376 3105 6376 3105 6377 3084 6377 3088 6377 3106 6378 3093 6378 3092 6378 3107 6379 3089 6379 3093 6379 3106 6380 3107 6380 3093 6380 3108 6381 3092 6381 3101 6381 3106 6382 3092 6382 3108 6382 3109 6383 3101 6383 3104 6383 3108 6384 3101 6384 3109 6384 3110 6385 3104 6385 3094 6385 3109 6386 3104 6386 3110 6386 3111 6387 3094 6387 3089 6387 3110 6388 3094 6388 3111 6388 3111 6389 3089 6389 3107 6389 3067 6390 3088 6390 3087 6390 3068 6391 3067 6391 3087 6391 3091 6392 3068 6392 3087 6392 3069 6393 3105 6393 3088 6393 3067 6394 3069 6394 3088 6394 3070 6395 3103 6395 3105 6395 3069 6396 3070 6396 3105 6396 3074 6397 3100 6397 3103 6397 3070 6398 3074 6398 3103 6398 3073 6399 3100 6399 3074 6399 3099 6400 3100 6400 3073 6400 3071 6401 3074 6401 3070 6401 3091 6402 3065 6402 3068 6402 3064 6403 3068 6403 3065 6403 3096 6404 3075 6404 3065 6404 3091 6405 3096 6405 3065 6405 3099 6406 3073 6406 3075 6406 3096 6407 3099 6407 3075 6407 3110 6408 3111 6408 3107 6408 3106 6409 3110 6409 3107 6409 3106 6410 3109 6410 3110 6410 3106 6411 3108 6411 3109 6411 3112 6412 3113 6412 3114 6412 3115 6413 3114 6413 3113 6413 3116 6414 3112 6414 3114 6414 3117 6415 3114 6415 3118 6415 3119 6416 3118 6416 3114 6416 3117 6417 3120 6417 3114 6417 3116 6418 3114 6418 3120 6418 3115 6419 3119 6419 3114 6419 3121 6420 3113 6420 3112 6420 3121 6421 3115 6421 3113 6421 3122 6422 3123 6422 3112 6422 3124 6423 3112 6423 3123 6423 3116 6424 3122 6424 3112 6424 3124 6425 3121 6425 3112 6425 3118 6426 3125 6426 3123 6426 3126 6427 3123 6427 3125 6427 3127 6428 3118 6428 3123 6428 3128 6429 3127 6429 3123 6429 3122 6430 3128 6430 3123 6430 3124 6431 3123 6431 3126 6431 3129 6432 3125 6432 3118 6432 3129 6433 3126 6433 3125 6433 3127 6434 3117 6434 3118 6434 3119 6435 3129 6435 3118 6435 3130 6436 3120 6436 3117 6436 3131 6437 3116 6437 3120 6437 3130 6438 3131 6438 3120 6438 3132 6439 3117 6439 3127 6439 3130 6440 3117 6440 3132 6440 3133 6441 3127 6441 3128 6441 3132 6442 3127 6442 3133 6442 3134 6443 3128 6443 3122 6443 3133 6444 3128 6444 3134 6444 3135 6445 3122 6445 3116 6445 3134 6446 3122 6446 3135 6446 3135 6447 3116 6447 3131 6447 3136 6448 3126 6448 3129 6448 3137 6449 3126 6449 3136 6449 3137 6450 3124 6450 3126 6450 3138 6451 3129 6451 3119 6451 3139 6452 3136 6452 3129 6452 3138 6453 3139 6453 3129 6453 3140 6454 3119 6454 3115 6454 3140 6455 3138 6455 3119 6455 3141 6456 3140 6456 3115 6456 3121 6457 3141 6457 3115 6457 3142 6458 3136 6458 3139 6458 3143 6459 3136 6459 3142 6459 3137 6460 3136 6460 3143 6460 3142 6461 3139 6461 3138 6461 3144 6462 3138 6462 3140 6462 3144 6463 3142 6463 3138 6463 3144 6464 3140 6464 3141 6464 3145 6465 3144 6465 3141 6465 3146 6466 3145 6466 3141 6466 3146 6467 3141 6467 3121 6467 3147 6468 3142 6468 3144 6468 3147 6469 3148 6469 3142 6469 3143 6470 3142 6470 3148 6470 3149 6471 3144 6471 3145 6471 3149 6472 3147 6472 3144 6472 3149 6473 3145 6473 3150 6473 3143 6474 3150 6474 3145 6474 3151 6475 3143 6475 3145 6475 3151 6476 3145 6476 3146 6476 3143 6477 3148 6477 3150 6477 3152 6478 3150 6478 3148 6478 3153 6479 3149 6479 3150 6479 3152 6480 3153 6480 3150 6480 3154 6481 3148 6481 3147 6481 3154 6482 3152 6482 3148 6482 3155 6483 3147 6483 3149 6483 3154 6484 3147 6484 3155 6484 3153 6485 3155 6485 3149 6485 3137 6486 3143 6486 3151 6486 3152 6487 3155 6487 3153 6487 3154 6488 3155 6488 3152 6488 3151 6489 3121 6489 3124 6489 3151 6490 3146 6490 3121 6490 3137 6491 3151 6491 3124 6491 3134 6492 3135 6492 3131 6492 3130 6493 3134 6493 3131 6493 3130 6494 3133 6494 3134 6494 3130 6495 3132 6495 3133 6495 3156 6496 3157 6496 3158 6496 3159 6497 3158 6497 3157 6497 3160 6498 3156 6498 3158 6498 3161 6499 3158 6499 3162 6499 3163 6500 3162 6500 3158 6500 3161 6501 3164 6501 3158 6501 3160 6502 3158 6502 3164 6502 3159 6503 3163 6503 3158 6503 3165 6504 3157 6504 3156 6504 3165 6505 3159 6505 3157 6505 3166 6506 3167 6506 3156 6506 3168 6507 3156 6507 3167 6507 3160 6508 3166 6508 3156 6508 3168 6509 3165 6509 3156 6509 3162 6510 3169 6510 3167 6510 3170 6511 3167 6511 3169 6511 3171 6512 3162 6512 3167 6512 3172 6513 3171 6513 3167 6513 3166 6514 3172 6514 3167 6514 3168 6515 3167 6515 3170 6515 3173 6516 3169 6516 3162 6516 3173 6517 3170 6517 3169 6517 3171 6518 3161 6518 3162 6518 3163 6519 3173 6519 3162 6519 3174 6520 3164 6520 3161 6520 3175 6521 3160 6521 3164 6521 3174 6522 3175 6522 3164 6522 3176 6523 3161 6523 3171 6523 3174 6524 3161 6524 3176 6524 3177 6525 3171 6525 3172 6525 3176 6526 3171 6526 3177 6526 3178 6527 3172 6527 3166 6527 3177 6528 3172 6528 3178 6528 3179 6529 3166 6529 3160 6529 3178 6530 3166 6530 3179 6530 3179 6531 3160 6531 3175 6531 3180 6532 3170 6532 3173 6532 3181 6533 3170 6533 3180 6533 3181 6534 3168 6534 3170 6534 3182 6535 3173 6535 3163 6535 3183 6536 3180 6536 3173 6536 3182 6537 3183 6537 3173 6537 3184 6538 3163 6538 3159 6538 3184 6539 3182 6539 3163 6539 3185 6540 3184 6540 3159 6540 3165 6541 3185 6541 3159 6541 3186 6542 3180 6542 3183 6542 3187 6543 3180 6543 3186 6543 3181 6544 3180 6544 3187 6544 3186 6545 3183 6545 3182 6545 3188 6546 3182 6546 3184 6546 3188 6547 3186 6547 3182 6547 3188 6548 3184 6548 3185 6548 3189 6549 3188 6549 3185 6549 3190 6550 3189 6550 3185 6550 3190 6551 3185 6551 3165 6551 3191 6552 3186 6552 3188 6552 3191 6553 3192 6553 3186 6553 3187 6554 3186 6554 3192 6554 3193 6555 3188 6555 3189 6555 3193 6556 3191 6556 3188 6556 3193 6557 3189 6557 3194 6557 3187 6558 3194 6558 3189 6558 3195 6559 3187 6559 3189 6559 3195 6560 3189 6560 3190 6560 3187 6561 3192 6561 3194 6561 3196 6562 3194 6562 3192 6562 3197 6563 3193 6563 3194 6563 3196 6564 3197 6564 3194 6564 3198 6565 3192 6565 3191 6565 3198 6566 3196 6566 3192 6566 3199 6567 3191 6567 3193 6567 3198 6568 3191 6568 3199 6568 3197 6569 3199 6569 3193 6569 3181 6570 3187 6570 3195 6570 3196 6571 3199 6571 3197 6571 3198 6572 3199 6572 3196 6572 3195 6573 3165 6573 3168 6573 3195 6574 3190 6574 3165 6574 3181 6575 3195 6575 3168 6575 3178 6576 3179 6576 3175 6576 3174 6577 3178 6577 3175 6577 3174 6578 3177 6578 3178 6578 3174 6579 3176 6579 3177 6579 3200 6580 3201 6580 3202 6580 3203 6581 3202 6581 3201 6581 3204 6582 3200 6582 3202 6582 3205 6583 3202 6583 3206 6583 3207 6584 3206 6584 3202 6584 3205 6585 3208 6585 3202 6585 3204 6586 3202 6586 3208 6586 3203 6587 3207 6587 3202 6587 3209 6588 3201 6588 3200 6588 3209 6589 3203 6589 3201 6589 3210 6590 3211 6590 3200 6590 3212 6591 3200 6591 3211 6591 3204 6592 3210 6592 3200 6592 3212 6593 3209 6593 3200 6593 3206 6594 3213 6594 3211 6594 3214 6595 3211 6595 3213 6595 3215 6596 3206 6596 3211 6596 3216 6597 3215 6597 3211 6597 3210 6598 3216 6598 3211 6598 3212 6599 3211 6599 3214 6599 3217 6600 3213 6600 3206 6600 3217 6601 3214 6601 3213 6601 3215 6602 3205 6602 3206 6602 3207 6603 3217 6603 3206 6603 3218 6604 3208 6604 3205 6604 3219 6605 3204 6605 3208 6605 3218 6606 3219 6606 3208 6606 3220 6607 3205 6607 3215 6607 3218 6608 3205 6608 3220 6608 3221 6609 3215 6609 3216 6609 3220 6610 3215 6610 3221 6610 3222 6611 3216 6611 3210 6611 3221 6612 3216 6612 3222 6612 3223 6613 3210 6613 3204 6613 3222 6614 3210 6614 3223 6614 3223 6615 3204 6615 3219 6615 3224 6616 3214 6616 3217 6616 3225 6617 3214 6617 3224 6617 3225 6618 3212 6618 3214 6618 3226 6619 3217 6619 3207 6619 3227 6620 3224 6620 3217 6620 3226 6621 3227 6621 3217 6621 3228 6622 3207 6622 3203 6622 3228 6623 3226 6623 3207 6623 3229 6624 3228 6624 3203 6624 3209 6625 3229 6625 3203 6625 3230 6626 3224 6626 3227 6626 3231 6627 3224 6627 3230 6627 3225 6628 3224 6628 3231 6628 3230 6629 3227 6629 3226 6629 3232 6630 3226 6630 3228 6630 3232 6631 3230 6631 3226 6631 3232 6632 3228 6632 3229 6632 3233 6633 3232 6633 3229 6633 3234 6634 3233 6634 3229 6634 3234 6635 3229 6635 3209 6635 3235 6636 3230 6636 3232 6636 3235 6637 3236 6637 3230 6637 3231 6638 3230 6638 3236 6638 3237 6639 3232 6639 3233 6639 3237 6640 3235 6640 3232 6640 3237 6641 3233 6641 3238 6641 3231 6642 3238 6642 3233 6642 3239 6643 3231 6643 3233 6643 3239 6644 3233 6644 3234 6644 3231 6645 3236 6645 3238 6645 3240 6646 3238 6646 3236 6646 3241 6647 3237 6647 3238 6647 3240 6648 3241 6648 3238 6648 3242 6649 3236 6649 3235 6649 3242 6650 3240 6650 3236 6650 3243 6651 3235 6651 3237 6651 3242 6652 3235 6652 3243 6652 3241 6653 3243 6653 3237 6653 3225 6654 3231 6654 3239 6654 3240 6655 3243 6655 3241 6655 3242 6656 3243 6656 3240 6656 3239 6657 3209 6657 3212 6657 3239 6658 3234 6658 3209 6658 3225 6659 3239 6659 3212 6659 3222 6660 3223 6660 3219 6660 3218 6661 3222 6661 3219 6661 3218 6662 3221 6662 3222 6662 3218 6663 3220 6663 3221 6663 3244 6664 3245 6664 3246 6664 3247 6665 3246 6665 3245 6665 3248 6666 3244 6666 3246 6666 3249 6667 3246 6667 3250 6667 3251 6668 3250 6668 3246 6668 3249 6669 3252 6669 3246 6669 3248 6670 3246 6670 3252 6670 3247 6671 3251 6671 3246 6671 3253 6672 3245 6672 3244 6672 3253 6673 3247 6673 3245 6673 3254 6674 3255 6674 3244 6674 3256 6675 3244 6675 3255 6675 3248 6676 3254 6676 3244 6676 3256 6677 3253 6677 3244 6677 3250 6678 3257 6678 3255 6678 3258 6679 3255 6679 3257 6679 3259 6680 3250 6680 3255 6680 3260 6681 3259 6681 3255 6681 3254 6682 3260 6682 3255 6682 3256 6683 3255 6683 3258 6683 3261 6684 3257 6684 3250 6684 3261 6685 3258 6685 3257 6685 3259 6686 3249 6686 3250 6686 3251 6687 3261 6687 3250 6687 3262 6688 3252 6688 3249 6688 3263 6689 3248 6689 3252 6689 3262 6690 3263 6690 3252 6690 3264 6691 3249 6691 3259 6691 3262 6692 3249 6692 3264 6692 3265 6693 3259 6693 3260 6693 3264 6694 3259 6694 3265 6694 3266 6695 3260 6695 3254 6695 3265 6696 3260 6696 3266 6696 3267 6697 3254 6697 3248 6697 3266 6698 3254 6698 3267 6698 3267 6699 3248 6699 3263 6699 3268 6700 3258 6700 3261 6700 3269 6701 3258 6701 3268 6701 3269 6702 3256 6702 3258 6702 3270 6703 3261 6703 3251 6703 3271 6704 3268 6704 3261 6704 3270 6705 3271 6705 3261 6705 3272 6706 3251 6706 3247 6706 3272 6707 3270 6707 3251 6707 3273 6708 3272 6708 3247 6708 3253 6709 3273 6709 3247 6709 3274 6710 3268 6710 3271 6710 3275 6711 3268 6711 3274 6711 3269 6712 3268 6712 3275 6712 3274 6713 3271 6713 3270 6713 3276 6714 3270 6714 3272 6714 3276 6715 3274 6715 3270 6715 3276 6716 3272 6716 3273 6716 3277 6717 3276 6717 3273 6717 3278 6718 3277 6718 3273 6718 3278 6719 3273 6719 3253 6719 3279 6720 3274 6720 3276 6720 3279 6721 3280 6721 3274 6721 3275 6722 3274 6722 3280 6722 3281 6723 3276 6723 3277 6723 3281 6724 3279 6724 3276 6724 3281 6725 3277 6725 3282 6725 3275 6726 3282 6726 3277 6726 3283 6727 3275 6727 3277 6727 3283 6728 3277 6728 3278 6728 3275 6729 3280 6729 3282 6729 3284 6730 3282 6730 3280 6730 3285 6731 3281 6731 3282 6731 3284 6732 3285 6732 3282 6732 3286 6733 3280 6733 3279 6733 3286 6734 3284 6734 3280 6734 3287 6735 3279 6735 3281 6735 3286 6736 3279 6736 3287 6736 3285 6737 3287 6737 3281 6737 3269 6738 3275 6738 3283 6738 3284 6739 3287 6739 3285 6739 3286 6740 3287 6740 3284 6740 3283 6741 3253 6741 3256 6741 3283 6742 3278 6742 3253 6742 3269 6743 3283 6743 3256 6743 3266 6744 3267 6744 3263 6744 3262 6745 3266 6745 3263 6745 3262 6746 3265 6746 3266 6746 3262 6747 3264 6747 3265 6747 3288 6748 3289 6748 3290 6748 3291 6749 3290 6749 3289 6749 3292 6750 3290 6750 3293 6750 3294 6751 3293 6751 3290 6751 3292 6752 3295 6752 3290 6752 3296 6753 3290 6753 3295 6753 3296 6754 3288 6754 3290 6754 3294 6755 3290 6755 3291 6755 3288 6756 3297 6756 3289 6756 3298 6757 3289 6757 3297 6757 3291 6758 3289 6758 3298 6758 3299 6759 3300 6759 3297 6759 3301 6760 3297 6760 3300 6760 3288 6761 3299 6761 3297 6761 3298 6762 3297 6762 3301 6762 3302 6763 3303 6763 3300 6763 3304 6764 3300 6764 3303 6764 3305 6765 3302 6765 3300 6765 3306 6766 3305 6766 3300 6766 3299 6767 3306 6767 3300 6767 3301 6768 3300 6768 3304 6768 3307 6769 3293 6769 3303 6769 3308 6770 3303 6770 3293 6770 3302 6771 3307 6771 3303 6771 3308 6772 3304 6772 3303 6772 3307 6773 3292 6773 3293 6773 3308 6774 3293 6774 3294 6774 3309 6775 3310 6775 3311 6775 3312 6776 3311 6776 3310 6776 3313 6777 3311 6777 3314 6777 3315 6778 3314 6778 3311 6778 3313 6779 3309 6779 3311 6779 3315 6780 3311 6780 3312 6780 3309 6781 3316 6781 3310 6781 3317 6782 3310 6782 3316 6782 3312 6783 3310 6783 3317 6783 3318 6784 3319 6784 3316 6784 3320 6785 3316 6785 3319 6785 3321 6786 3318 6786 3316 6786 3322 6787 3321 6787 3316 6787 3323 6788 3322 6788 3316 6788 3324 6789 3323 6789 3316 6789 3309 6790 3324 6790 3316 6790 3317 6791 3316 6791 3320 6791 3325 6792 3326 6792 3319 6792 3327 6793 3319 6793 3326 6793 3318 6794 3325 6794 3319 6794 3320 6795 3319 6795 3327 6795 3325 6796 3314 6796 3326 6796 3328 6797 3326 6797 3314 6797 3328 6798 3327 6798 3326 6798 3299 6799 3314 6799 3325 6799 3299 6800 3313 6800 3314 6800 3328 6801 3314 6801 3315 6801 3329 6802 3330 6802 3331 6802 3332 6803 3331 6803 3330 6803 3333 6804 3331 6804 3334 6804 3335 6805 3334 6805 3331 6805 3333 6806 3336 6806 3331 6806 3337 6807 3331 6807 3336 6807 3338 6808 3329 6808 3331 6808 3337 6809 3338 6809 3331 6809 3335 6810 3331 6810 3332 6810 3339 6811 3340 6811 3330 6811 3341 6812 3330 6812 3340 6812 3329 6813 3339 6813 3330 6813 3332 6814 3330 6814 3341 6814 3339 6815 3342 6815 3340 6815 3343 6816 3340 6816 3342 6816 3341 6817 3340 6817 3343 6817 3344 6818 3345 6818 3342 6818 3346 6819 3342 6819 3345 6819 3347 6820 3344 6820 3342 6820 3348 6821 3347 6821 3342 6821 3339 6822 3348 6822 3342 6822 3343 6823 3342 6823 3346 6823 3349 6824 3334 6824 3345 6824 3350 6825 3345 6825 3334 6825 3344 6826 3349 6826 3345 6826 3350 6827 3346 6827 3345 6827 3349 6828 3333 6828 3334 6828 3350 6829 3334 6829 3335 6829 3351 6830 3352 6830 3353 6830 3354 6831 3353 6831 3352 6831 3355 6832 3353 6832 3356 6832 3357 6833 3356 6833 3353 6833 3355 6834 3351 6834 3353 6834 3357 6835 3353 6835 3354 6835 3351 6836 3358 6836 3352 6836 3359 6837 3352 6837 3358 6837 3354 6838 3352 6838 3359 6838 3360 6839 3361 6839 3358 6839 3362 6840 3358 6840 3361 6840 3363 6841 3360 6841 3358 6841 3364 6842 3363 6842 3358 6842 3351 6843 3364 6843 3358 6843 3359 6844 3358 6844 3362 6844 3365 6845 3366 6845 3361 6845 3367 6846 3361 6846 3366 6846 3360 6847 3365 6847 3361 6847 3362 6848 3361 6848 3367 6848 3365 6849 3356 6849 3366 6849 3368 6850 3366 6850 3356 6850 3368 6851 3367 6851 3366 6851 3355 6852 3356 6852 3365 6852 3368 6853 3356 6853 3357 6853 3369 6854 3336 6854 3333 6854 3370 6855 3337 6855 3336 6855 3371 6856 3370 6856 3336 6856 3371 6857 3336 6857 3369 6857 3372 6858 3333 6858 3349 6858 3369 6859 3333 6859 3372 6859 3373 6860 3349 6860 3344 6860 3372 6861 3349 6861 3373 6861 3374 6862 3344 6862 3347 6862 3373 6863 3344 6863 3374 6863 3375 6864 3376 6864 3347 6864 3377 6865 3347 6865 3376 6865 3348 6866 3375 6866 3347 6866 3374 6867 3347 6867 3377 6867 3378 6868 3379 6868 3376 6868 3380 6869 3376 6869 3379 6869 3375 6870 3378 6870 3376 6870 3380 6871 3377 6871 3376 6871 3381 6872 3382 6872 3379 6872 3383 6873 3379 6873 3382 6873 3378 6874 3381 6874 3379 6874 3380 6875 3379 6875 3383 6875 3384 6876 3382 6876 3381 6876 3385 6877 3382 6877 3386 6877 3387 6878 3386 6878 3382 6878 3383 6879 3382 6879 3385 6879 3388 6880 3387 6880 3382 6880 3389 6881 3388 6881 3382 6881 3384 6882 3389 6882 3382 6882 3390 6883 3381 6883 3378 6883 3391 6884 3392 6884 3381 6884 3384 6885 3381 6885 3392 6885 3393 6886 3391 6886 3381 6886 3394 6887 3393 6887 3381 6887 3395 6888 3394 6888 3381 6888 3390 6889 3395 6889 3381 6889 3396 6890 3378 6890 3375 6890 3397 6891 3378 6891 3396 6891 3398 6892 3378 6892 3397 6892 3390 6893 3378 6893 3398 6893 3399 6894 3375 6894 3348 6894 3396 6895 3375 6895 3399 6895 3339 6896 3365 6896 3348 6896 3400 6897 3348 6897 3365 6897 3399 6898 3348 6898 3400 6898 3401 6899 3365 6899 3360 6899 3339 6900 3355 6900 3365 6900 3400 6901 3365 6901 3401 6901 3402 6902 3360 6902 3363 6902 3401 6903 3360 6903 3402 6903 3403 6904 3363 6904 3364 6904 3402 6905 3363 6905 3403 6905 3351 6906 3404 6906 3364 6906 3405 6907 3364 6907 3404 6907 3403 6908 3364 6908 3405 6908 3406 6909 3407 6909 3404 6909 3408 6910 3404 6910 3407 6910 3351 6911 3406 6911 3404 6911 3405 6912 3404 6912 3408 6912 3296 6913 3295 6913 3407 6913 3409 6914 3407 6914 3295 6914 3406 6915 3296 6915 3407 6915 3408 6916 3407 6916 3409 6916 3410 6917 3295 6917 3292 6917 3409 6918 3295 6918 3410 6918 3411 6919 3292 6919 3307 6919 3410 6920 3292 6920 3411 6920 3412 6921 3307 6921 3302 6921 3411 6922 3307 6922 3412 6922 3413 6923 3302 6923 3305 6923 3412 6924 3302 6924 3413 6924 3414 6925 3415 6925 3305 6925 3416 6926 3305 6926 3415 6926 3306 6927 3414 6927 3305 6927 3413 6928 3305 6928 3416 6928 3417 6929 3418 6929 3415 6929 3419 6930 3415 6930 3418 6930 3414 6931 3417 6931 3415 6931 3416 6932 3415 6932 3419 6932 3420 6933 3421 6933 3418 6933 3422 6934 3418 6934 3421 6934 3417 6935 3420 6935 3418 6935 3419 6936 3418 6936 3422 6936 3423 6937 3421 6937 3420 6937 3424 6938 3421 6938 3425 6938 3426 6939 3425 6939 3421 6939 3422 6940 3421 6940 3424 6940 3427 6941 3426 6941 3421 6941 3428 6942 3427 6942 3421 6942 3423 6943 3428 6943 3421 6943 3429 6944 3420 6944 3417 6944 3430 6945 3431 6945 3420 6945 3423 6946 3420 6946 3431 6946 3432 6947 3430 6947 3420 6947 3433 6948 3432 6948 3420 6948 3434 6949 3433 6949 3420 6949 3429 6950 3434 6950 3420 6950 3435 6951 3417 6951 3414 6951 3436 6952 3417 6952 3435 6952 3437 6953 3417 6953 3436 6953 3429 6954 3417 6954 3437 6954 3438 6955 3414 6955 3306 6955 3435 6956 3414 6956 3438 6956 3299 6957 3325 6957 3306 6957 3439 6958 3306 6958 3325 6958 3438 6959 3306 6959 3439 6959 3440 6960 3325 6960 3318 6960 3439 6961 3325 6961 3440 6961 3441 6962 3318 6962 3321 6962 3440 6963 3318 6963 3441 6963 3442 6964 3321 6964 3322 6964 3441 6965 3321 6965 3442 6965 3443 6966 3444 6966 3322 6966 3445 6967 3322 6967 3444 6967 3446 6968 3443 6968 3322 6968 3323 6969 3446 6969 3322 6969 3442 6970 3322 6970 3445 6970 3443 6971 3447 6971 3444 6971 3445 6972 3444 6972 3447 6972 3448 6973 3447 6973 3443 6973 3445 6974 3447 6974 3449 6974 3450 6975 3449 6975 3447 6975 3448 6976 3450 6976 3447 6976 3451 6977 3443 6977 3446 6977 3451 6978 3448 6978 3443 6978 3452 6979 3446 6979 3323 6979 3453 6980 3446 6980 3452 6980 3451 6981 3446 6981 3453 6981 3452 6982 3323 6982 3324 6982 3454 6983 3324 6983 3309 6983 3452 6984 3324 6984 3454 6984 3455 6985 3309 6985 3313 6985 3456 6986 3309 6986 3455 6986 3456 6987 3454 6987 3309 6987 3457 6988 3313 6988 3299 6988 3458 6989 3313 6989 3457 6989 3455 6990 3313 6990 3458 6990 3459 6991 3299 6991 3288 6991 3460 6992 3299 6992 3459 6992 3457 6993 3299 6993 3460 6993 3461 6994 3288 6994 3296 6994 3459 6995 3288 6995 3461 6995 3462 6996 3296 6996 3406 6996 3461 6997 3296 6997 3462 6997 3463 6998 3406 6998 3351 6998 3462 6999 3406 6999 3463 6999 3464 7000 3351 7000 3355 7000 3463 7001 3351 7001 3464 7001 3465 7002 3355 7002 3339 7002 3464 7003 3355 7003 3465 7003 3466 7004 3339 7004 3329 7004 3466 7005 3465 7005 3339 7005 3338 7006 3467 7006 3329 7006 3468 7007 3329 7007 3467 7007 3466 7008 3329 7008 3468 7008 3469 7009 3467 7009 3338 7009 3470 7010 3467 7010 3469 7010 3470 7011 3468 7011 3467 7011 3471 7012 3338 7012 3337 7012 3471 7013 3469 7013 3338 7013 3370 7014 3472 7014 3337 7014 3473 7015 3337 7015 3472 7015 3473 7016 3471 7016 3337 7016 3371 7017 3472 7017 3370 7017 3474 7018 3472 7018 3371 7018 3473 7019 3472 7019 3474 7019 3475 7020 3476 7020 3477 7020 3478 7021 3477 7021 3476 7021 3396 7022 3399 7022 3477 7022 3475 7023 3477 7023 3399 7023 3397 7024 3396 7024 3477 7024 3398 7025 3397 7025 3477 7025 3479 7026 3398 7026 3477 7026 3480 7027 3477 7027 3478 7027 3479 7028 3477 7028 3480 7028 3403 7029 3481 7029 3476 7029 3482 7030 3476 7030 3481 7030 3483 7031 3403 7031 3476 7031 3484 7032 3476 7032 3475 7032 3484 7033 3483 7033 3476 7033 3485 7034 3476 7034 3482 7034 3478 7035 3476 7035 3485 7035 3405 7036 3486 7036 3481 7036 3487 7037 3481 7037 3486 7037 3403 7038 3405 7038 3481 7038 3488 7039 3481 7039 3487 7039 3482 7040 3481 7040 3488 7040 3489 7041 3490 7041 3486 7041 3491 7042 3486 7042 3490 7042 3412 7043 3413 7043 3486 7043 3492 7044 3486 7044 3413 7044 3411 7045 3412 7045 3486 7045 3410 7046 3411 7046 3486 7046 3405 7047 3410 7047 3486 7047 3493 7048 3489 7048 3486 7048 3492 7049 3493 7049 3486 7049 3487 7050 3486 7050 3491 7050 3425 7051 3494 7051 3490 7051 3495 7052 3490 7052 3494 7052 3424 7053 3425 7053 3490 7053 3422 7054 3424 7054 3490 7054 3496 7055 3422 7055 3490 7055 3496 7056 3490 7056 3489 7056 3497 7057 3490 7057 3495 7057 3491 7058 3490 7058 3497 7058 3426 7059 3494 7059 3425 7059 3498 7060 3494 7060 3426 7060 3499 7061 3494 7061 3500 7061 3498 7062 3500 7062 3494 7062 3495 7063 3494 7063 3499 7063 3496 7064 3419 7064 3422 7064 3501 7065 3416 7065 3419 7065 3496 7066 3501 7066 3419 7066 3492 7067 3413 7067 3416 7067 3502 7068 3492 7068 3416 7068 3501 7069 3502 7069 3416 7069 3408 7070 3409 7070 3410 7070 3405 7071 3408 7071 3410 7071 3483 7072 3402 7072 3403 7072 3503 7073 3401 7073 3402 7073 3483 7074 3503 7074 3402 7074 3504 7075 3400 7075 3401 7075 3503 7076 3504 7076 3401 7076 3475 7077 3399 7077 3400 7077 3505 7078 3475 7078 3400 7078 3504 7079 3505 7079 3400 7079 3479 7080 3390 7080 3398 7080 3291 7081 3489 7081 3493 7081 3298 7082 3496 7082 3489 7082 3291 7083 3298 7083 3489 7083 3294 7084 3493 7084 3492 7084 3294 7085 3291 7085 3493 7085 3308 7086 3492 7086 3502 7086 3308 7087 3294 7087 3492 7087 3304 7088 3502 7088 3501 7088 3308 7089 3502 7089 3304 7089 3301 7090 3501 7090 3496 7090 3301 7091 3304 7091 3501 7091 3298 7092 3301 7092 3496 7092 3354 7093 3475 7093 3505 7093 3359 7094 3484 7094 3475 7094 3354 7095 3359 7095 3475 7095 3357 7096 3505 7096 3504 7096 3357 7097 3354 7097 3505 7097 3368 7098 3504 7098 3503 7098 3368 7099 3357 7099 3504 7099 3367 7100 3503 7100 3483 7100 3368 7101 3503 7101 3367 7101 3362 7102 3483 7102 3484 7102 3362 7103 3367 7103 3483 7103 3359 7104 3362 7104 3484 7104 3439 7105 3506 7105 3507 7105 3312 7106 3507 7106 3506 7106 3508 7107 3507 7107 3509 7107 3317 7108 3509 7108 3507 7108 3438 7109 3439 7109 3507 7109 3510 7110 3438 7110 3507 7110 3508 7111 3510 7111 3507 7111 3312 7112 3317 7112 3507 7112 3439 7113 3511 7113 3506 7113 3315 7114 3506 7114 3511 7114 3315 7115 3312 7115 3506 7115 3440 7116 3512 7116 3511 7116 3328 7117 3511 7117 3512 7117 3439 7118 3440 7118 3511 7118 3328 7119 3315 7119 3511 7119 3441 7120 3513 7120 3512 7120 3327 7121 3512 7121 3513 7121 3440 7122 3441 7122 3512 7122 3328 7123 3512 7123 3327 7123 3508 7124 3509 7124 3513 7124 3320 7125 3513 7125 3509 7125 3441 7126 3442 7126 3513 7126 3508 7127 3513 7127 3442 7127 3320 7128 3327 7128 3513 7128 3317 7129 3320 7129 3509 7129 3514 7130 3515 7130 3516 7130 3332 7131 3516 7131 3515 7131 3517 7132 3516 7132 3518 7132 3341 7133 3518 7133 3516 7133 3517 7134 3514 7134 3516 7134 3332 7135 3341 7135 3516 7135 3514 7136 3519 7136 3515 7136 3335 7137 3515 7137 3519 7137 3335 7138 3332 7138 3515 7138 3377 7139 3520 7139 3519 7139 3350 7140 3519 7140 3520 7140 3374 7141 3377 7141 3519 7141 3514 7142 3374 7142 3519 7142 3350 7143 3335 7143 3519 7143 3377 7144 3521 7144 3520 7144 3346 7145 3520 7145 3521 7145 3350 7146 3520 7146 3346 7146 3380 7147 3518 7147 3521 7147 3343 7148 3521 7148 3518 7148 3380 7149 3521 7149 3377 7149 3343 7150 3346 7150 3521 7150 3383 7151 3517 7151 3518 7151 3380 7152 3383 7152 3518 7152 3341 7153 3343 7153 3518 7153 3514 7154 3373 7154 3374 7154 3514 7155 3372 7155 3373 7155 3514 7156 3369 7156 3372 7156 3449 7157 3371 7157 3369 7157 3445 7158 3449 7158 3369 7158 3514 7159 3445 7159 3369 7159 3522 7160 3371 7160 3449 7160 3522 7161 3474 7161 3371 7161 3450 7162 3522 7162 3449 7162 3523 7163 3442 7163 3445 7163 3514 7164 3523 7164 3445 7164 3523 7165 3508 7165 3442 7165 3510 7166 3435 7166 3438 7166 3510 7167 3436 7167 3435 7167 3510 7168 3437 7168 3436 7168 3524 7169 3437 7169 3510 7169 3524 7170 3429 7170 3437 7170 3525 7171 3510 7171 3508 7171 3526 7172 3510 7172 3525 7172 3527 7173 3510 7173 3526 7173 3524 7174 3510 7174 3527 7174 3528 7175 3508 7175 3523 7175 3525 7176 3508 7176 3528 7176 3529 7177 3523 7177 3514 7177 3528 7178 3523 7178 3529 7178 3530 7179 3514 7179 3517 7179 3529 7180 3514 7180 3530 7180 3386 7181 3531 7181 3517 7181 3532 7182 3517 7182 3531 7182 3385 7183 3386 7183 3517 7183 3383 7184 3385 7184 3517 7184 3530 7185 3517 7185 3532 7185 3387 7186 3531 7186 3386 7186 3533 7187 3531 7187 3387 7187 3533 7188 3532 7188 3531 7188 3534 7189 3392 7189 3391 7189 3534 7190 3384 7190 3392 7190 3535 7191 3391 7191 3393 7191 3534 7192 3391 7192 3535 7192 3536 7193 3393 7193 3394 7193 3537 7194 3393 7194 3536 7194 3535 7195 3393 7195 3537 7195 3395 7196 3536 7196 3394 7196 3538 7197 3536 7197 3395 7197 3539 7198 3537 7198 3536 7198 3539 7199 3536 7199 3538 7199 3540 7200 3395 7200 3390 7200 3538 7201 3395 7201 3540 7201 3540 7202 3390 7202 3479 7202 3533 7203 3387 7203 3388 7203 3541 7204 3388 7204 3389 7204 3533 7205 3388 7205 3541 7205 3534 7206 3389 7206 3384 7206 3542 7207 3389 7207 3534 7207 3543 7208 3389 7208 3542 7208 3541 7209 3389 7209 3543 7209 3544 7210 3431 7210 3430 7210 3544 7211 3423 7211 3431 7211 3545 7212 3430 7212 3432 7212 3544 7213 3430 7213 3545 7213 3546 7214 3432 7214 3433 7214 3547 7215 3432 7215 3546 7215 3545 7216 3432 7216 3547 7216 3434 7217 3546 7217 3433 7217 3548 7218 3546 7218 3434 7218 3549 7219 3546 7219 3548 7219 3547 7220 3546 7220 3549 7220 3550 7221 3434 7221 3429 7221 3548 7222 3434 7222 3550 7222 3524 7223 3550 7223 3429 7223 3498 7224 3426 7224 3427 7224 3551 7225 3427 7225 3428 7225 3498 7226 3427 7226 3551 7226 3544 7227 3428 7227 3423 7227 3552 7228 3428 7228 3544 7228 3553 7229 3428 7229 3552 7229 3551 7230 3428 7230 3553 7230 3471 7231 3474 7231 3522 7231 3473 7232 3474 7232 3471 7232 3554 7233 3522 7233 3450 7233 3469 7234 3522 7234 3554 7234 3471 7235 3522 7235 3469 7235 3555 7236 3450 7236 3448 7236 3554 7237 3450 7237 3555 7237 3454 7238 3555 7238 3448 7238 3452 7239 3454 7239 3448 7239 3453 7240 3452 7240 3448 7240 3451 7241 3453 7241 3448 7241 3556 7242 3464 7242 3465 7242 3557 7243 3556 7243 3465 7243 3466 7244 3557 7244 3465 7244 3558 7245 3463 7245 3464 7245 3556 7246 3558 7246 3464 7246 3559 7247 3462 7247 3463 7247 3558 7248 3559 7248 3463 7248 3560 7249 3461 7249 3462 7249 3559 7250 3560 7250 3462 7250 3561 7251 3459 7251 3461 7251 3560 7252 3561 7252 3461 7252 3562 7253 3460 7253 3459 7253 3561 7254 3562 7254 3459 7254 3563 7255 3460 7255 3562 7255 3457 7256 3460 7256 3563 7256 3526 7257 3562 7257 3561 7257 3525 7258 3563 7258 3562 7258 3526 7259 3525 7259 3562 7259 3499 7260 3561 7260 3560 7260 3500 7261 3526 7261 3561 7261 3499 7262 3500 7262 3561 7262 3497 7263 3560 7263 3559 7263 3495 7264 3499 7264 3560 7264 3497 7265 3495 7265 3560 7265 3482 7266 3559 7266 3558 7266 3488 7267 3497 7267 3559 7267 3482 7268 3488 7268 3559 7268 3485 7269 3558 7269 3556 7269 3485 7270 3482 7270 3558 7270 3480 7271 3556 7271 3557 7271 3478 7272 3485 7272 3556 7272 3480 7273 3478 7273 3556 7273 3564 7274 3557 7274 3466 7274 3565 7275 3557 7275 3564 7275 3480 7276 3557 7276 3565 7276 3566 7277 3555 7277 3567 7277 3454 7278 3567 7278 3555 7278 3568 7279 3566 7279 3567 7279 3455 7280 3568 7280 3567 7280 3456 7281 3455 7281 3567 7281 3456 7282 3567 7282 3454 7282 3566 7283 3554 7283 3555 7283 3569 7284 3469 7284 3554 7284 3566 7285 3569 7285 3554 7285 3470 7286 3469 7286 3569 7286 3570 7287 3468 7287 3569 7287 3470 7288 3569 7288 3468 7288 3566 7289 3570 7289 3569 7289 3564 7290 3466 7290 3468 7290 3570 7291 3564 7291 3468 7291 3532 7292 3564 7292 3570 7292 3532 7293 3565 7293 3564 7293 3530 7294 3570 7294 3566 7294 3530 7295 3532 7295 3570 7295 3528 7296 3566 7296 3568 7296 3529 7297 3530 7297 3566 7297 3528 7298 3529 7298 3566 7298 3458 7299 3563 7299 3568 7299 3525 7300 3568 7300 3563 7300 3455 7301 3458 7301 3568 7301 3525 7302 3528 7302 3568 7302 3458 7303 3457 7303 3563 7303 3571 7304 3565 7304 3532 7304 3479 7305 3480 7305 3565 7305 3571 7306 3537 7306 3565 7306 3539 7307 3565 7307 3537 7307 3540 7308 3479 7308 3565 7308 3538 7309 3540 7309 3565 7309 3539 7310 3538 7310 3565 7310 3572 7311 3532 7311 3573 7311 3533 7312 3573 7312 3532 7312 3571 7313 3532 7313 3572 7313 3574 7314 3526 7314 3500 7314 3575 7315 3526 7315 3574 7315 3527 7316 3526 7316 3575 7316 3545 7317 3574 7317 3500 7317 3544 7318 3545 7318 3500 7318 3552 7319 3544 7319 3500 7319 3551 7320 3552 7320 3500 7320 3498 7321 3551 7321 3500 7321 3488 7322 3491 7322 3497 7322 3488 7323 3487 7323 3491 7323 3571 7324 3535 7324 3537 7324 3572 7325 3534 7325 3535 7325 3571 7326 3572 7326 3535 7326 3573 7327 3542 7327 3534 7327 3572 7328 3573 7328 3534 7328 3541 7329 3543 7329 3542 7329 3573 7330 3541 7330 3542 7330 3533 7331 3541 7331 3573 7331 3547 7332 3575 7332 3574 7332 3545 7333 3547 7333 3574 7333 3550 7334 3527 7334 3575 7334 3548 7335 3550 7335 3575 7335 3549 7336 3548 7336 3575 7336 3547 7337 3549 7337 3575 7337 3524 7338 3527 7338 3550 7338 3551 7339 3553 7339 3552 7339 3576 7340 3577 7340 3578 7340 3579 7341 3578 7341 3577 7341 3580 7342 3578 7342 3581 7342 3582 7343 3581 7343 3578 7343 3580 7344 3583 7344 3578 7344 3584 7345 3578 7345 3583 7345 3585 7346 3578 7346 3584 7346 3585 7347 3576 7347 3578 7347 3582 7348 3578 7348 3579 7348 3586 7349 3587 7349 3577 7349 3588 7350 3577 7350 3587 7350 3589 7351 3577 7351 3590 7351 3591 7352 3590 7352 3577 7352 3592 7353 3593 7353 3577 7353 3594 7354 3577 7354 3593 7354 3589 7355 3592 7355 3577 7355 3594 7356 3586 7356 3577 7356 3576 7357 3591 7357 3577 7357 3588 7358 3579 7358 3577 7358 3595 7359 3596 7359 3587 7359 3597 7360 3587 7360 3596 7360 3598 7361 3587 7361 3586 7361 3595 7362 3587 7362 3598 7362 3588 7363 3587 7363 3597 7363 3599 7364 3600 7364 3596 7364 3601 7365 3596 7365 3600 7365 3595 7366 3599 7366 3596 7366 3597 7367 3596 7367 3601 7367 3602 7368 3603 7368 3600 7368 3604 7369 3600 7369 3603 7369 3605 7370 3602 7370 3600 7370 3606 7371 3605 7371 3600 7371 3607 7372 3606 7372 3600 7372 3599 7373 3607 7373 3600 7373 3601 7374 3600 7374 3604 7374 3608 7375 3609 7375 3603 7375 3610 7376 3603 7376 3609 7376 3602 7377 3611 7377 3603 7377 3612 7378 3603 7378 3611 7378 3613 7379 3614 7379 3603 7379 3615 7380 3603 7380 3614 7380 3616 7381 3613 7381 3603 7381 3612 7382 3616 7382 3603 7382 3615 7383 3608 7383 3603 7383 3604 7384 3603 7384 3610 7384 3617 7385 3618 7385 3609 7385 3619 7386 3609 7386 3618 7386 3608 7387 3620 7387 3609 7387 3621 7388 3609 7388 3620 7388 3622 7389 3609 7389 3621 7389 3622 7390 3617 7390 3609 7390 3610 7391 3609 7391 3619 7391 3623 7392 3624 7392 3618 7392 3625 7393 3618 7393 3624 7393 3626 7394 3618 7394 3627 7394 3628 7395 3627 7395 3618 7395 3629 7396 3630 7396 3618 7396 3631 7397 3618 7397 3630 7397 3626 7398 3629 7398 3618 7398 3631 7399 3623 7399 3618 7399 3617 7400 3628 7400 3618 7400 3619 7401 3618 7401 3625 7401 3632 7402 3633 7402 3624 7402 3634 7403 3624 7403 3633 7403 3635 7404 3624 7404 3623 7404 3632 7405 3624 7405 3635 7405 3625 7406 3624 7406 3634 7406 3636 7407 3637 7407 3633 7407 3638 7408 3633 7408 3637 7408 3632 7409 3636 7409 3633 7409 3634 7410 3633 7410 3638 7410 3639 7411 3581 7411 3637 7411 3640 7412 3637 7412 3581 7412 3641 7413 3639 7413 3637 7413 3642 7414 3641 7414 3637 7414 3643 7415 3642 7415 3637 7415 3636 7416 3643 7416 3637 7416 3638 7417 3637 7417 3640 7417 3639 7418 3644 7418 3581 7418 3645 7419 3581 7419 3644 7419 3646 7420 3647 7420 3581 7420 3648 7421 3581 7421 3647 7421 3649 7422 3646 7422 3581 7422 3645 7423 3649 7423 3581 7423 3648 7424 3580 7424 3581 7424 3640 7425 3581 7425 3582 7425 3650 7426 3651 7426 3652 7426 3653 7427 3652 7427 3651 7427 3654 7428 3652 7428 3642 7428 3655 7429 3642 7429 3652 7429 3650 7430 3652 7430 3656 7430 3654 7431 3656 7431 3652 7431 3655 7432 3652 7432 3653 7432 3645 7433 3644 7433 3651 7433 3657 7434 3651 7434 3644 7434 3650 7435 3645 7435 3651 7435 3657 7436 3653 7436 3651 7436 3658 7437 3644 7437 3639 7437 3657 7438 3644 7438 3658 7438 3659 7439 3639 7439 3641 7439 3658 7440 3639 7440 3659 7440 3660 7441 3641 7441 3642 7441 3659 7442 3641 7442 3660 7442 3643 7443 3654 7443 3642 7443 3660 7444 3642 7444 3655 7444 3661 7445 3662 7445 3663 7445 3664 7446 3663 7446 3662 7446 3645 7447 3663 7447 3649 7447 3665 7448 3649 7448 3663 7448 3645 7449 3661 7449 3663 7449 3665 7450 3663 7450 3664 7450 3661 7451 3666 7451 3662 7451 3667 7452 3662 7452 3666 7452 3667 7453 3664 7453 3662 7453 3648 7454 3647 7454 3666 7454 3668 7455 3666 7455 3647 7455 3661 7456 3648 7456 3666 7456 3667 7457 3666 7457 3668 7457 3669 7458 3647 7458 3646 7458 3668 7459 3647 7459 3669 7459 3670 7460 3646 7460 3649 7460 3669 7461 3646 7461 3670 7461 3670 7462 3649 7462 3665 7462 3671 7463 3672 7463 3673 7463 3674 7464 3673 7464 3672 7464 3661 7465 3673 7465 3648 7465 3675 7466 3648 7466 3673 7466 3661 7467 3671 7467 3673 7467 3675 7468 3673 7468 3674 7468 3671 7469 3676 7469 3672 7469 3677 7470 3672 7470 3676 7470 3677 7471 3674 7471 3672 7471 3584 7472 3583 7472 3676 7472 3678 7473 3676 7473 3583 7473 3584 7474 3676 7474 3671 7474 3677 7475 3676 7475 3678 7475 3679 7476 3583 7476 3580 7476 3678 7477 3583 7477 3679 7477 3680 7478 3580 7478 3648 7478 3679 7479 3580 7479 3680 7479 3680 7480 3648 7480 3675 7480 3681 7481 3682 7481 3590 7481 3683 7482 3590 7482 3682 7482 3684 7483 3589 7483 3590 7483 3591 7484 3681 7484 3590 7484 3684 7485 3590 7485 3683 7485 3685 7486 3686 7486 3682 7486 3687 7487 3682 7487 3686 7487 3681 7488 3688 7488 3682 7488 3689 7489 3682 7489 3688 7489 3689 7490 3685 7490 3682 7490 3687 7491 3683 7491 3682 7491 3690 7492 3593 7492 3686 7492 3691 7493 3686 7493 3593 7493 3685 7494 3690 7494 3686 7494 3687 7495 3686 7495 3691 7495 3692 7496 3593 7496 3592 7496 3594 7497 3593 7497 3693 7497 3690 7498 3693 7498 3593 7498 3691 7499 3593 7499 3692 7499 3694 7500 3592 7500 3589 7500 3692 7501 3592 7501 3694 7501 3694 7502 3589 7502 3684 7502 3690 7503 3695 7503 3693 7503 3696 7504 3693 7504 3695 7504 3697 7505 3594 7505 3693 7505 3697 7506 3693 7506 3696 7506 3698 7507 3699 7507 3695 7507 3700 7508 3695 7508 3699 7508 3690 7509 3698 7509 3695 7509 3700 7510 3696 7510 3695 7510 3701 7511 3702 7511 3699 7511 3703 7512 3699 7512 3702 7512 3698 7513 3701 7513 3699 7513 3700 7514 3699 7514 3703 7514 3598 7515 3586 7515 3702 7515 3704 7516 3702 7516 3586 7516 3705 7517 3702 7517 3701 7517 3705 7518 3598 7518 3702 7518 3703 7519 3702 7519 3704 7519 3706 7520 3586 7520 3594 7520 3704 7521 3586 7521 3706 7521 3706 7522 3594 7522 3697 7522 3707 7523 3701 7523 3698 7523 3708 7524 3705 7524 3701 7524 3708 7525 3701 7525 3707 7525 3690 7526 3709 7526 3698 7526 3710 7527 3698 7527 3709 7527 3710 7528 3707 7528 3698 7528 3595 7529 3711 7529 3709 7529 3712 7530 3709 7530 3711 7530 3595 7531 3709 7531 3690 7531 3710 7532 3709 7532 3712 7532 3595 7533 3598 7533 3711 7533 3713 7534 3711 7534 3598 7534 3712 7535 3711 7535 3713 7535 3714 7536 3598 7536 3705 7536 3713 7537 3598 7537 3714 7537 3714 7538 3705 7538 3708 7538 3681 7539 3715 7539 3688 7539 3716 7540 3688 7540 3715 7540 3689 7541 3688 7541 3606 7541 3717 7542 3606 7542 3688 7542 3717 7543 3688 7543 3716 7543 3612 7544 3611 7544 3715 7544 3718 7545 3715 7545 3611 7545 3612 7546 3715 7546 3681 7546 3718 7547 3716 7547 3715 7547 3719 7548 3611 7548 3602 7548 3718 7549 3611 7549 3719 7549 3720 7550 3602 7550 3605 7550 3719 7551 3602 7551 3720 7551 3721 7552 3605 7552 3606 7552 3720 7553 3605 7553 3721 7553 3607 7554 3689 7554 3606 7554 3721 7555 3606 7555 3717 7555 3722 7556 3723 7556 3724 7556 3725 7557 3724 7557 3723 7557 3612 7558 3724 7558 3616 7558 3726 7559 3616 7559 3724 7559 3612 7560 3722 7560 3724 7560 3726 7561 3724 7561 3725 7561 3722 7562 3727 7562 3723 7562 3728 7563 3723 7563 3727 7563 3728 7564 3725 7564 3723 7564 3615 7565 3614 7565 3727 7565 3729 7566 3727 7566 3614 7566 3722 7567 3615 7567 3727 7567 3728 7568 3727 7568 3729 7568 3730 7569 3614 7569 3613 7569 3729 7570 3614 7570 3730 7570 3731 7571 3613 7571 3616 7571 3730 7572 3613 7572 3731 7572 3731 7573 3616 7573 3726 7573 3732 7574 3733 7574 3734 7574 3735 7575 3734 7575 3733 7575 3722 7576 3734 7576 3615 7576 3736 7577 3615 7577 3734 7577 3722 7578 3732 7578 3734 7578 3736 7579 3734 7579 3735 7579 3732 7580 3737 7580 3733 7580 3738 7581 3733 7581 3737 7581 3738 7582 3735 7582 3733 7582 3621 7583 3620 7583 3737 7583 3739 7584 3737 7584 3620 7584 3621 7585 3737 7585 3732 7585 3738 7586 3737 7586 3739 7586 3740 7587 3620 7587 3608 7587 3739 7588 3620 7588 3740 7588 3741 7589 3608 7589 3615 7589 3740 7590 3608 7590 3741 7590 3741 7591 3615 7591 3736 7591 3650 7592 3656 7592 3627 7592 3742 7593 3627 7593 3656 7593 3743 7594 3626 7594 3627 7594 3628 7595 3650 7595 3627 7595 3743 7596 3627 7596 3742 7596 3744 7597 3745 7597 3656 7597 3746 7598 3656 7598 3745 7598 3654 7599 3744 7599 3656 7599 3746 7600 3742 7600 3656 7600 3747 7601 3630 7601 3745 7601 3748 7602 3745 7602 3630 7602 3744 7603 3747 7603 3745 7603 3746 7604 3745 7604 3748 7604 3749 7605 3630 7605 3629 7605 3631 7606 3630 7606 3750 7606 3747 7607 3750 7607 3630 7607 3748 7608 3630 7608 3749 7608 3751 7609 3629 7609 3626 7609 3749 7610 3629 7610 3751 7610 3751 7611 3626 7611 3743 7611 3747 7612 3752 7612 3750 7612 3753 7613 3750 7613 3752 7613 3754 7614 3631 7614 3750 7614 3754 7615 3750 7615 3753 7615 3755 7616 3756 7616 3752 7616 3757 7617 3752 7617 3756 7617 3747 7618 3755 7618 3752 7618 3757 7619 3753 7619 3752 7619 3758 7620 3759 7620 3756 7620 3760 7621 3756 7621 3759 7621 3755 7622 3758 7622 3756 7622 3757 7623 3756 7623 3760 7623 3635 7624 3623 7624 3759 7624 3761 7625 3759 7625 3623 7625 3762 7626 3759 7626 3758 7626 3762 7627 3635 7627 3759 7627 3760 7628 3759 7628 3761 7628 3763 7629 3623 7629 3631 7629 3761 7630 3623 7630 3763 7630 3763 7631 3631 7631 3754 7631 3764 7632 3758 7632 3755 7632 3765 7633 3762 7633 3758 7633 3765 7634 3758 7634 3764 7634 3747 7635 3766 7635 3755 7635 3767 7636 3755 7636 3766 7636 3767 7637 3764 7637 3755 7637 3632 7638 3768 7638 3766 7638 3769 7639 3766 7639 3768 7639 3632 7640 3766 7640 3747 7640 3767 7641 3766 7641 3769 7641 3632 7642 3635 7642 3768 7642 3770 7643 3768 7643 3635 7643 3769 7644 3768 7644 3770 7644 3771 7645 3635 7645 3762 7645 3770 7646 3635 7646 3771 7646 3771 7647 3762 7647 3765 7647 3591 7648 3772 7648 3681 7648 3773 7649 3681 7649 3772 7649 3774 7650 3612 7650 3681 7650 3774 7651 3681 7651 3773 7651 3775 7652 3671 7652 3772 7652 3776 7653 3772 7653 3671 7653 3777 7654 3775 7654 3772 7654 3591 7655 3777 7655 3772 7655 3776 7656 3773 7656 3772 7656 3778 7657 3671 7657 3661 7657 3775 7658 3584 7658 3671 7658 3776 7659 3671 7659 3778 7659 3779 7660 3661 7660 3645 7660 3778 7661 3661 7661 3779 7661 3780 7662 3645 7662 3650 7662 3779 7663 3645 7663 3780 7663 3628 7664 3781 7664 3650 7664 3782 7665 3650 7665 3781 7665 3780 7666 3650 7666 3782 7666 3783 7667 3732 7667 3781 7667 3784 7668 3781 7668 3732 7668 3785 7669 3783 7669 3781 7669 3628 7670 3785 7670 3781 7670 3782 7671 3781 7671 3784 7671 3786 7672 3732 7672 3722 7672 3783 7673 3621 7673 3732 7673 3784 7674 3732 7674 3786 7674 3787 7675 3722 7675 3612 7675 3786 7676 3722 7676 3787 7676 3787 7677 3612 7677 3774 7677 3788 7678 3690 7678 3685 7678 3789 7679 3595 7679 3690 7679 3789 7680 3690 7680 3788 7680 3790 7681 3685 7681 3689 7681 3788 7682 3685 7682 3790 7682 3791 7683 3689 7683 3607 7683 3790 7684 3689 7684 3791 7684 3792 7685 3607 7685 3599 7685 3791 7686 3607 7686 3792 7686 3793 7687 3599 7687 3595 7687 3793 7688 3792 7688 3599 7688 3793 7689 3595 7689 3789 7689 3794 7690 3621 7690 3783 7690 3795 7691 3622 7691 3621 7691 3795 7692 3621 7692 3794 7692 3796 7693 3783 7693 3785 7693 3794 7694 3783 7694 3796 7694 3797 7695 3785 7695 3628 7695 3796 7696 3785 7696 3797 7696 3798 7697 3628 7697 3617 7697 3797 7698 3628 7698 3798 7698 3799 7699 3617 7699 3622 7699 3799 7700 3798 7700 3617 7700 3799 7701 3622 7701 3795 7701 3800 7702 3747 7702 3744 7702 3801 7703 3632 7703 3747 7703 3801 7704 3747 7704 3800 7704 3802 7705 3744 7705 3654 7705 3800 7706 3744 7706 3802 7706 3803 7707 3654 7707 3643 7707 3802 7708 3654 7708 3803 7708 3804 7709 3643 7709 3636 7709 3803 7710 3643 7710 3804 7710 3805 7711 3636 7711 3632 7711 3805 7712 3804 7712 3636 7712 3805 7713 3632 7713 3801 7713 3806 7714 3584 7714 3775 7714 3807 7715 3585 7715 3584 7715 3807 7716 3584 7716 3806 7716 3808 7717 3775 7717 3777 7717 3806 7718 3775 7718 3808 7718 3809 7719 3777 7719 3591 7719 3808 7720 3777 7720 3809 7720 3810 7721 3591 7721 3576 7721 3809 7722 3591 7722 3810 7722 3811 7723 3576 7723 3585 7723 3811 7724 3810 7724 3576 7724 3811 7725 3585 7725 3807 7725 3812 7726 3582 7726 3579 7726 3813 7727 3579 7727 3588 7727 3813 7728 3812 7728 3579 7728 3814 7729 3640 7729 3582 7729 3812 7730 3814 7730 3582 7730 3815 7731 3638 7731 3640 7731 3814 7732 3815 7732 3640 7732 3815 7733 3634 7733 3638 7733 3816 7734 3625 7734 3634 7734 3815 7735 3816 7735 3634 7735 3817 7736 3619 7736 3625 7736 3818 7737 3817 7737 3625 7737 3816 7738 3818 7738 3625 7738 3819 7739 3610 7739 3619 7739 3819 7740 3619 7740 3817 7740 3820 7741 3604 7741 3610 7741 3819 7742 3820 7742 3610 7742 3821 7743 3601 7743 3604 7743 3820 7744 3821 7744 3604 7744 3821 7745 3597 7745 3601 7745 3822 7746 3588 7746 3597 7746 3821 7747 3822 7747 3597 7747 3823 7748 3813 7748 3588 7748 3822 7749 3823 7749 3588 7749 3824 7750 3817 7750 3818 7750 3825 7751 3819 7751 3817 7751 3825 7752 3817 7752 3824 7752 3826 7753 3818 7753 3816 7753 3826 7754 3824 7754 3818 7754 3827 7755 3816 7755 3815 7755 3826 7756 3816 7756 3827 7756 3828 7757 3815 7757 3814 7757 3827 7758 3815 7758 3828 7758 3829 7759 3814 7759 3812 7759 3828 7760 3814 7760 3829 7760 3830 7761 3812 7761 3813 7761 3829 7762 3812 7762 3830 7762 3831 7763 3813 7763 3823 7763 3830 7764 3813 7764 3831 7764 3832 7765 3823 7765 3822 7765 3831 7766 3823 7766 3832 7766 3833 7767 3822 7767 3821 7767 3832 7768 3822 7768 3833 7768 3834 7769 3821 7769 3820 7769 3833 7770 3821 7770 3834 7770 3835 7771 3820 7771 3819 7771 3834 7772 3820 7772 3835 7772 3835 7773 3819 7773 3825 7773 3670 7774 3836 7774 3837 7774 3831 7775 3837 7775 3836 7775 3838 7776 3837 7776 3839 7776 3832 7777 3839 7777 3837 7777 3669 7778 3670 7778 3837 7778 3668 7779 3669 7779 3837 7779 3675 7780 3668 7780 3837 7780 3680 7781 3675 7781 3837 7781 3679 7782 3680 7782 3837 7782 3838 7783 3679 7783 3837 7783 3831 7784 3832 7784 3837 7784 3660 7785 3840 7785 3836 7785 3830 7786 3836 7786 3840 7786 3659 7787 3660 7787 3836 7787 3658 7788 3659 7788 3836 7788 3657 7789 3658 7789 3836 7789 3782 7790 3657 7790 3836 7790 3670 7791 3665 7791 3836 7791 3780 7792 3836 7792 3665 7792 3780 7793 3782 7793 3836 7793 3830 7794 3831 7794 3836 7794 3841 7795 3842 7795 3840 7795 3829 7796 3840 7796 3842 7796 3843 7797 3840 7797 3660 7797 3843 7798 3841 7798 3840 7798 3829 7799 3830 7799 3840 7799 3763 7800 3844 7800 3842 7800 3828 7801 3842 7801 3844 7801 3761 7802 3763 7802 3842 7802 3765 7803 3761 7803 3842 7803 3771 7804 3765 7804 3842 7804 3841 7805 3771 7805 3842 7805 3828 7806 3829 7806 3842 7806 3751 7807 3845 7807 3844 7807 3827 7808 3844 7808 3845 7808 3749 7809 3751 7809 3844 7809 3753 7810 3749 7810 3844 7810 3754 7811 3753 7811 3844 7811 3763 7812 3754 7812 3844 7812 3827 7813 3828 7813 3844 7813 3846 7814 3847 7814 3845 7814 3826 7815 3845 7815 3847 7815 3743 7816 3742 7816 3845 7816 3784 7817 3845 7817 3742 7817 3751 7818 3743 7818 3845 7818 3848 7819 3845 7819 3784 7819 3848 7820 3846 7820 3845 7820 3826 7821 3827 7821 3845 7821 3731 7822 3849 7822 3847 7822 3824 7823 3847 7823 3849 7823 3730 7824 3731 7824 3847 7824 3729 7825 3730 7825 3847 7825 3736 7826 3729 7826 3847 7826 3741 7827 3736 7827 3847 7827 3740 7828 3741 7828 3847 7828 3846 7829 3740 7829 3847 7829 3826 7830 3847 7830 3824 7830 3721 7831 3850 7831 3849 7831 3825 7832 3849 7832 3850 7832 3720 7833 3721 7833 3849 7833 3719 7834 3720 7834 3849 7834 3718 7835 3719 7835 3849 7835 3773 7836 3718 7836 3849 7836 3731 7837 3726 7837 3849 7837 3774 7838 3849 7838 3726 7838 3774 7839 3773 7839 3849 7839 3825 7840 3824 7840 3849 7840 3851 7841 3852 7841 3850 7841 3835 7842 3850 7842 3852 7842 3853 7843 3850 7843 3721 7843 3853 7844 3851 7844 3850 7844 3835 7845 3825 7845 3850 7845 3706 7846 3854 7846 3852 7846 3834 7847 3852 7847 3854 7847 3704 7848 3706 7848 3852 7848 3708 7849 3704 7849 3852 7849 3714 7850 3708 7850 3852 7850 3851 7851 3714 7851 3852 7851 3834 7852 3835 7852 3852 7852 3694 7853 3839 7853 3854 7853 3833 7854 3854 7854 3839 7854 3692 7855 3694 7855 3854 7855 3696 7856 3692 7856 3854 7856 3697 7857 3696 7857 3854 7857 3706 7858 3697 7858 3854 7858 3833 7859 3834 7859 3854 7859 3684 7860 3683 7860 3839 7860 3776 7861 3839 7861 3683 7861 3694 7862 3684 7862 3839 7862 3855 7863 3839 7863 3776 7863 3855 7864 3838 7864 3839 7864 3832 7865 3833 7865 3839 7865 3748 7866 3655 7866 3653 7866 3782 7867 3653 7867 3657 7867 3746 7868 3748 7868 3653 7868 3782 7869 3746 7869 3653 7869 3749 7870 3660 7870 3655 7870 3748 7871 3749 7871 3655 7871 3856 7872 3660 7872 3749 7872 3857 7873 3843 7873 3660 7873 3856 7874 3857 7874 3660 7874 3780 7875 3665 7875 3664 7875 3780 7876 3664 7876 3667 7876 3779 7877 3667 7877 3668 7877 3779 7878 3668 7878 3675 7878 3779 7879 3780 7879 3667 7879 3779 7880 3675 7880 3674 7880 3779 7881 3674 7881 3677 7881 3858 7882 3678 7882 3679 7882 3838 7883 3858 7883 3679 7883 3779 7884 3677 7884 3678 7884 3778 7885 3779 7885 3678 7885 3859 7886 3778 7886 3678 7886 3858 7887 3859 7887 3678 7887 3773 7888 3683 7888 3687 7888 3776 7889 3683 7889 3773 7889 3717 7890 3691 7890 3692 7890 3860 7891 3692 7891 3696 7891 3721 7892 3717 7892 3692 7892 3860 7893 3721 7893 3692 7893 3716 7894 3687 7894 3691 7894 3717 7895 3716 7895 3691 7895 3773 7896 3687 7896 3716 7896 3860 7897 3696 7897 3700 7897 3707 7898 3703 7898 3704 7898 3708 7899 3707 7899 3704 7899 3710 7900 3700 7900 3703 7900 3710 7901 3703 7901 3707 7901 3860 7902 3700 7902 3710 7902 3851 7903 3713 7903 3714 7903 3861 7904 3712 7904 3713 7904 3851 7905 3861 7905 3713 7905 3862 7906 3710 7906 3712 7906 3861 7907 3862 7907 3712 7907 3860 7908 3710 7908 3862 7908 3773 7909 3716 7909 3718 7909 3863 7910 3853 7910 3721 7910 3860 7911 3863 7911 3721 7911 3774 7912 3726 7912 3725 7912 3774 7913 3725 7913 3728 7913 3787 7914 3728 7914 3729 7914 3787 7915 3729 7915 3736 7915 3787 7916 3774 7916 3728 7916 3787 7917 3736 7917 3735 7917 3787 7918 3735 7918 3738 7918 3864 7919 3739 7919 3740 7919 3846 7920 3864 7920 3740 7920 3787 7921 3738 7921 3739 7921 3786 7922 3787 7922 3739 7922 3865 7923 3786 7923 3739 7923 3864 7924 3865 7924 3739 7924 3782 7925 3742 7925 3746 7925 3782 7926 3784 7926 3742 7926 3856 7927 3749 7927 3753 7927 3856 7928 3753 7928 3757 7928 3764 7929 3760 7929 3761 7929 3765 7930 3764 7930 3761 7930 3767 7931 3757 7931 3760 7931 3767 7932 3760 7932 3764 7932 3856 7933 3757 7933 3767 7933 3841 7934 3770 7934 3771 7934 3866 7935 3769 7935 3770 7935 3841 7936 3866 7936 3770 7936 3867 7937 3767 7937 3769 7937 3866 7938 3867 7938 3769 7938 3856 7939 3767 7939 3867 7939 3868 7940 3784 7940 3786 7940 3869 7941 3786 7941 3865 7941 3869 7942 3868 7942 3786 7942 3868 7943 3848 7943 3784 7943 3870 7944 3776 7944 3778 7944 3871 7945 3778 7945 3859 7945 3871 7946 3870 7946 3778 7946 3870 7947 3855 7947 3776 7947 3788 7948 3862 7948 3861 7948 3790 7949 3860 7949 3862 7949 3788 7950 3790 7950 3862 7950 3789 7951 3861 7951 3851 7951 3789 7952 3788 7952 3861 7952 3793 7953 3851 7953 3853 7953 3793 7954 3789 7954 3851 7954 3792 7955 3853 7955 3863 7955 3793 7956 3853 7956 3792 7956 3791 7957 3863 7957 3860 7957 3791 7958 3792 7958 3863 7958 3790 7959 3791 7959 3860 7959 3794 7960 3865 7960 3864 7960 3796 7961 3869 7961 3865 7961 3794 7962 3796 7962 3865 7962 3795 7963 3864 7963 3846 7963 3795 7964 3794 7964 3864 7964 3799 7965 3846 7965 3848 7965 3799 7966 3795 7966 3846 7966 3798 7967 3848 7967 3868 7967 3799 7968 3848 7968 3798 7968 3797 7969 3868 7969 3869 7969 3797 7970 3798 7970 3868 7970 3796 7971 3797 7971 3869 7971 3800 7972 3867 7972 3866 7972 3802 7973 3856 7973 3867 7973 3800 7974 3802 7974 3867 7974 3801 7975 3866 7975 3841 7975 3801 7976 3800 7976 3866 7976 3805 7977 3841 7977 3843 7977 3805 7978 3801 7978 3841 7978 3804 7979 3843 7979 3857 7979 3805 7980 3843 7980 3804 7980 3803 7981 3857 7981 3856 7981 3803 7982 3804 7982 3857 7982 3802 7983 3803 7983 3856 7983 3806 7984 3859 7984 3858 7984 3808 7985 3871 7985 3859 7985 3806 7986 3808 7986 3859 7986 3807 7987 3858 7987 3838 7987 3807 7988 3806 7988 3858 7988 3811 7989 3838 7989 3855 7989 3811 7990 3807 7990 3838 7990 3810 7991 3855 7991 3870 7991 3811 7992 3855 7992 3810 7992 3809 7993 3870 7993 3871 7993 3809 7994 3810 7994 3870 7994 3808 7995 3809 7995 3871 7995 3872 7996 3873 7996 3874 7996 3875 7997 3874 7997 3873 7997 3876 7998 3874 7998 3877 7998 3878 7999 3877 7999 3874 7999 3872 8000 3874 8000 3876 8000 3875 8001 3878 8001 3874 8001 3879 8002 3880 8002 3873 8002 3881 8003 3873 8003 3880 8003 3882 8004 3879 8004 3873 8004 3872 8005 3882 8005 3873 8005 3883 8006 3875 8006 3873 8006 3881 8007 3883 8007 3873 8007 3884 8008 3885 8008 3880 8008 3886 8009 3880 8009 3885 8009 3879 8010 3884 8010 3880 8010 3886 8011 3881 8011 3880 8011 3887 8012 3888 8012 3885 8012 3889 8013 3885 8013 3888 8013 3890 8014 3885 8014 3884 8014 3891 8015 3887 8015 3885 8015 3890 8016 3891 8016 3885 8016 3889 8017 3886 8017 3885 8017 3892 8018 3893 8018 3888 8018 3889 8019 3888 8019 3893 8019 3892 8020 3888 8020 3887 8020 3894 8021 3895 8021 3893 8021 3896 8022 3893 8022 3895 8022 3892 8023 3894 8023 3893 8023 3889 8024 3893 8024 3896 8024 3897 8025 3898 8025 3895 8025 3899 8026 3895 8026 3898 8026 3900 8027 3897 8027 3895 8027 3894 8028 3900 8028 3895 8028 3901 8029 3896 8029 3895 8029 3899 8030 3901 8030 3895 8030 3902 8031 3903 8031 3898 8031 3904 8032 3898 8032 3903 8032 3897 8033 3902 8033 3898 8033 3904 8034 3899 8034 3898 8034 3905 8035 3877 8035 3903 8035 3906 8036 3903 8036 3877 8036 3907 8037 3905 8037 3903 8037 3908 8038 3907 8038 3903 8038 3902 8039 3908 8039 3903 8039 3909 8040 3904 8040 3903 8040 3906 8041 3909 8041 3903 8041 3876 8042 3877 8042 3905 8042 3878 8043 3906 8043 3877 8043 3910 8044 3884 8044 3879 8044 3890 8045 3884 8045 3911 8045 3912 8046 3911 8046 3884 8046 3910 8047 3912 8047 3884 8047 3913 8048 3879 8048 3882 8048 3913 8049 3910 8049 3879 8049 3872 8050 3914 8050 3882 8050 3915 8051 3882 8051 3914 8051 3915 8052 3913 8052 3882 8052 3872 8053 3916 8053 3914 8053 3917 8054 3914 8054 3916 8054 3915 8055 3914 8055 3917 8055 3918 8056 3911 8056 3916 8056 3919 8057 3916 8057 3911 8057 3872 8058 3918 8058 3916 8058 3919 8059 3917 8059 3916 8059 3920 8060 3890 8060 3911 8060 3921 8061 3920 8061 3911 8061 3922 8062 3921 8062 3911 8062 3918 8063 3922 8063 3911 8063 3912 8064 3919 8064 3911 8064 3923 8065 3905 8065 3907 8065 3876 8066 3905 8066 3924 8066 3925 8067 3924 8067 3905 8067 3923 8068 3925 8068 3905 8068 3926 8069 3907 8069 3908 8069 3926 8070 3923 8070 3907 8070 3927 8071 3928 8071 3908 8071 3929 8072 3908 8072 3928 8072 3927 8073 3908 8073 3902 8073 3929 8074 3926 8074 3908 8074 3930 8075 3931 8075 3928 8075 3932 8076 3928 8076 3931 8076 3933 8077 3928 8077 3927 8077 3934 8078 3935 8078 3928 8078 3930 8079 3928 8079 3935 8079 3936 8080 3934 8080 3928 8080 3933 8081 3936 8081 3928 8081 3929 8082 3928 8082 3932 8082 3930 8083 3924 8083 3931 8083 3937 8084 3931 8084 3924 8084 3937 8085 3932 8085 3931 8085 3930 8086 3876 8086 3924 8086 3925 8087 3937 8087 3924 8087 3938 8088 3902 8088 3897 8088 3939 8089 3927 8089 3902 8089 3938 8090 3939 8090 3902 8090 3940 8091 3897 8091 3900 8091 3940 8092 3938 8092 3897 8092 3894 8093 3941 8093 3900 8093 3942 8094 3900 8094 3941 8094 3942 8095 3940 8095 3900 8095 3894 8096 3943 8096 3941 8096 3944 8097 3941 8097 3943 8097 3942 8098 3941 8098 3944 8098 3945 8099 3927 8099 3943 8099 3946 8100 3943 8100 3927 8100 3894 8101 3945 8101 3943 8101 3946 8102 3944 8102 3943 8102 3947 8103 3933 8103 3927 8103 3945 8104 3947 8104 3927 8104 3939 8105 3946 8105 3927 8105 3948 8106 3887 8106 3891 8106 3892 8107 3887 8107 3949 8107 3950 8108 3949 8108 3887 8108 3948 8109 3950 8109 3887 8109 3951 8110 3891 8110 3890 8110 3951 8111 3948 8111 3891 8111 3952 8112 3890 8112 3920 8112 3952 8113 3951 8113 3890 8113 3953 8114 3954 8114 3920 8114 3955 8115 3920 8115 3954 8115 3921 8116 3956 8116 3920 8116 3957 8117 3920 8117 3956 8117 3957 8118 3958 8118 3920 8118 3953 8119 3920 8119 3958 8119 3952 8120 3920 8120 3955 8120 3953 8121 3949 8121 3954 8121 3959 8122 3954 8122 3949 8122 3959 8123 3955 8123 3954 8123 3953 8124 3892 8124 3949 8124 3950 8125 3959 8125 3949 8125 3960 8126 3935 8126 3934 8126 3930 8127 3935 8127 3961 8127 3962 8128 3961 8128 3935 8128 3962 8129 3935 8129 3960 8129 3963 8130 3934 8130 3936 8130 3960 8131 3934 8131 3963 8131 3933 8132 3964 8132 3936 8132 3965 8133 3936 8133 3964 8133 3963 8134 3936 8134 3965 8134 3966 8135 3964 8135 3933 8135 3966 8136 3965 8136 3964 8136 3967 8137 3933 8137 3947 8137 3966 8138 3933 8138 3967 8138 3945 8139 3968 8139 3947 8139 3969 8140 3947 8140 3968 8140 3967 8141 3947 8141 3969 8141 3945 8142 3970 8142 3968 8142 3971 8143 3968 8143 3970 8143 3969 8144 3968 8144 3971 8144 3945 8145 3972 8145 3970 8145 3973 8146 3970 8146 3972 8146 3971 8147 3970 8147 3973 8147 3945 8148 3974 8148 3972 8148 3975 8149 3972 8149 3974 8149 3973 8150 3972 8150 3975 8150 3945 8151 3976 8151 3974 8151 3977 8152 3974 8152 3976 8152 3975 8153 3974 8153 3977 8153 3978 8154 3979 8154 3976 8154 3980 8155 3976 8155 3979 8155 3945 8156 3978 8156 3976 8156 3977 8157 3976 8157 3980 8157 3930 8158 3981 8158 3979 8158 3982 8159 3979 8159 3981 8159 3978 8160 3930 8160 3979 8160 3980 8161 3979 8161 3982 8161 3930 8162 3961 8162 3981 8162 3983 8163 3981 8163 3961 8163 3982 8164 3981 8164 3983 8164 3983 8165 3961 8165 3962 8165 3921 8166 3984 8166 3956 8166 3985 8167 3956 8167 3984 8167 3986 8168 3957 8168 3956 8168 3986 8169 3956 8169 3985 8169 3987 8170 3984 8170 3921 8170 3985 8171 3984 8171 3987 8171 3988 8172 3921 8172 3922 8172 3987 8173 3921 8173 3988 8173 3918 8174 3989 8174 3922 8174 3990 8175 3922 8175 3989 8175 3988 8176 3922 8176 3990 8176 3918 8177 3991 8177 3989 8177 3992 8178 3989 8178 3991 8178 3990 8179 3989 8179 3992 8179 3918 8180 3993 8180 3991 8180 3994 8181 3991 8181 3993 8181 3992 8182 3991 8182 3994 8182 3918 8183 3995 8183 3993 8183 3996 8184 3993 8184 3995 8184 3996 8185 3994 8185 3993 8185 3918 8186 3997 8186 3995 8186 3998 8187 3995 8187 3997 8187 3996 8188 3995 8188 3998 8188 3999 8189 4000 8189 3997 8189 4001 8190 3997 8190 4000 8190 3918 8191 3999 8191 3997 8191 3998 8192 3997 8192 4001 8192 3953 8193 4002 8193 4000 8193 4003 8194 4000 8194 4002 8194 3999 8195 3953 8195 4000 8195 4001 8196 4000 8196 4003 8196 3953 8197 4004 8197 4002 8197 4005 8198 4002 8198 4004 8198 4003 8199 4002 8199 4005 8199 3953 8200 3958 8200 4004 8200 4006 8201 4004 8201 3958 8201 4005 8202 4004 8202 4006 8202 4007 8203 3958 8203 3957 8203 4006 8204 3958 8204 4007 8204 4007 8205 3957 8205 3986 8205 4008 8206 3876 8206 3930 8206 4009 8207 3872 8207 3876 8207 4009 8208 3876 8208 4008 8208 4010 8209 3930 8209 3978 8209 4008 8210 3930 8210 4010 8210 4011 8211 4012 8211 3978 8211 4013 8212 3978 8212 4012 8212 3945 8213 4011 8213 3978 8213 4010 8214 3978 8214 4013 8214 4014 8215 4012 8215 4011 8215 4013 8216 4012 8216 4014 8216 4015 8217 4011 8217 3945 8217 4014 8218 4011 8218 4015 8218 4016 8219 3945 8219 3894 8219 4015 8220 3945 8220 4016 8220 4017 8221 3894 8221 3892 8221 4016 8222 3894 8222 4017 8222 4018 8223 3892 8223 3953 8223 4017 8224 3892 8224 4018 8224 4019 8225 3953 8225 3999 8225 4019 8226 4018 8226 3953 8226 4020 8227 4021 8227 3999 8227 4022 8228 3999 8228 4021 8228 3918 8229 4020 8229 3999 8229 4019 8230 3999 8230 4022 8230 4023 8231 4021 8231 4020 8231 4022 8232 4021 8232 4023 8232 4024 8233 4020 8233 3918 8233 4023 8234 4020 8234 4024 8234 4025 8235 3918 8235 3872 8235 4024 8236 3918 8236 4025 8236 4025 8237 3872 8237 4009 8237 4026 8238 4027 8238 4028 8238 4029 8239 4028 8239 4027 8239 4030 8240 4028 8240 4031 8240 4032 8241 4031 8241 4028 8241 4033 8242 4026 8242 4028 8242 4034 8243 4033 8243 4028 8243 4035 8244 4034 8244 4028 8244 4030 8245 4035 8245 4028 8245 4036 8246 4032 8246 4028 8246 4029 8247 4036 8247 4028 8247 4037 8248 4038 8248 4027 8248 4039 8249 4027 8249 4038 8249 4040 8250 4037 8250 4027 8250 4026 8251 4040 8251 4027 8251 4041 8252 4029 8252 4027 8252 4042 8253 4041 8253 4027 8253 4043 8254 4042 8254 4027 8254 4044 8255 4043 8255 4027 8255 4045 8256 4044 8256 4027 8256 4039 8257 4045 8257 4027 8257 3980 8258 4046 8258 4038 8258 4047 8259 4038 8259 4046 8259 3977 8260 3980 8260 4038 8260 3975 8261 3977 8261 4038 8261 4037 8262 3975 8262 4038 8262 4047 8263 4039 8263 4038 8263 3982 8264 4048 8264 4046 8264 4049 8265 4046 8265 4048 8265 3980 8266 3982 8266 4046 8266 4049 8267 4047 8267 4046 8267 4050 8268 4051 8268 4048 8268 4052 8269 4048 8269 4051 8269 3983 8270 3962 8270 4048 8270 4053 8271 4048 8271 3962 8271 3982 8272 3983 8272 4048 8272 4053 8273 4050 8273 4048 8273 4052 8274 4049 8274 4048 8274 4054 8275 4055 8275 4051 8275 4056 8276 4051 8276 4055 8276 4057 8277 4054 8277 4051 8277 4058 8278 4057 8278 4051 8278 4059 8279 4058 8279 4051 8279 4050 8280 4059 8280 4051 8280 4060 8281 4061 8281 4051 8281 4052 8282 4051 8282 4061 8282 4056 8283 4060 8283 4051 8283 4062 8284 4063 8284 4055 8284 4064 8285 4055 8285 4063 8285 4065 8286 4062 8286 4055 8286 4066 8287 4065 8287 4055 8287 4067 8288 4066 8288 4055 8288 4054 8289 4067 8289 4055 8289 4068 8290 4055 8290 4064 8290 4068 8291 4056 8291 4055 8291 4069 8292 4070 8292 4063 8292 4071 8293 4063 8293 4070 8293 4072 8294 4069 8294 4063 8294 4062 8295 4072 8295 4063 8295 4073 8296 4063 8296 4071 8296 4074 8297 4063 8297 4073 8297 4075 8298 4076 8298 4063 8298 4077 8299 4063 8299 4076 8299 4074 8300 4075 8300 4063 8300 4077 8301 4064 8301 4063 8301 4001 8302 4078 8302 4070 8302 4079 8303 4070 8303 4078 8303 3998 8304 4001 8304 4070 8304 3996 8305 3998 8305 4070 8305 4069 8306 3996 8306 4070 8306 4071 8307 4070 8307 4079 8307 4003 8308 4080 8308 4078 8308 4081 8309 4078 8309 4080 8309 4001 8310 4003 8310 4078 8310 4079 8311 4078 8311 4081 8311 4082 8312 4031 8312 4080 8312 4083 8313 4080 8313 4031 8313 4005 8314 4006 8314 4080 8314 4084 8315 4080 8315 4006 8315 4003 8316 4005 8316 4080 8316 4084 8317 4082 8317 4080 8317 4081 8318 4080 8318 4083 8318 4085 8319 4086 8319 4031 8319 4087 8320 4031 8320 4086 8320 4082 8321 4085 8321 4031 8321 4087 8322 4030 8322 4031 8322 4088 8323 4083 8323 4031 8323 4089 8324 4088 8324 4031 8324 4032 8325 4089 8325 4031 8325 4090 8326 3963 8326 3965 8326 3966 8327 3967 8327 3965 8327 4091 8328 3965 8328 3967 8328 4091 8329 4090 8329 3965 8329 4092 8330 3960 8330 3963 8330 4090 8331 4092 8331 3963 8331 4053 8332 3962 8332 3960 8332 4092 8333 4053 8333 3960 8333 4037 8334 3973 8334 3975 8334 4093 8335 3971 8335 3973 8335 4037 8336 4093 8336 3973 8336 4091 8337 3969 8337 3971 8337 4093 8338 4091 8338 3971 8338 4091 8339 3967 8339 3969 8339 4094 8340 3992 8340 3994 8340 4069 8341 3994 8341 3996 8341 4069 8342 4094 8342 3994 8342 4095 8343 3990 8343 3992 8343 4094 8344 4095 8344 3992 8344 4095 8345 3988 8345 3990 8345 3985 8346 3987 8346 3988 8346 4095 8347 3985 8347 3988 8347 4096 8348 3986 8348 3985 8348 4095 8349 4096 8349 3985 8349 4097 8350 4007 8350 3986 8350 4096 8351 4097 8351 3986 8351 4084 8352 4006 8352 4007 8352 4097 8353 4084 8353 4007 8353 4087 8354 4098 8354 4099 8354 3951 8355 4099 8355 4098 8355 3889 8356 4087 8356 4099 8356 4100 8357 3889 8357 4099 8357 4100 8358 4099 8358 3951 8358 4087 8359 4086 8359 4098 8359 3951 8360 4098 8360 4086 8360 3948 8361 4086 8361 4085 8361 3951 8362 4086 8362 3948 8362 3950 8363 4085 8363 4082 8363 3948 8364 4085 8364 3950 8364 3959 8365 4082 8365 4084 8365 3950 8366 4082 8366 3959 8366 3955 8367 4084 8367 4097 8367 3959 8368 4084 8368 3955 8368 3952 8369 4097 8369 4096 8369 3952 8370 3955 8370 4097 8370 4101 8371 4102 8371 4096 8371 3952 8372 4096 8372 4102 8372 4103 8373 4101 8373 4096 8373 4095 8374 4103 8374 4096 8374 4101 8375 4104 8375 4102 8375 3951 8376 4102 8376 4104 8376 3952 8377 4102 8377 3951 8377 3889 8378 4104 8378 4101 8378 4100 8379 4104 8379 3889 8379 4100 8380 3951 8380 4104 8380 3886 8381 4101 8381 4103 8381 3889 8382 4101 8382 3886 8382 4095 8383 4105 8383 4103 8383 3881 8384 4103 8384 4105 8384 3886 8385 4103 8385 3881 8385 4106 8386 4107 8386 4105 8386 3881 8387 4105 8387 4107 8387 4095 8388 4106 8388 4105 8388 3913 8389 4107 8389 4106 8389 4108 8390 3881 8390 4107 8390 4108 8391 4107 8391 3913 8391 3913 8392 4106 8392 4095 8392 3910 8393 4095 8393 4094 8393 3913 8394 4095 8394 3910 8394 3912 8395 4094 8395 4069 8395 3910 8396 4094 8396 3912 8396 3919 8397 4069 8397 4072 8397 3912 8398 4069 8398 3919 8398 3917 8399 4072 8399 4062 8399 3919 8400 4072 8400 3917 8400 3915 8401 4062 8401 4065 8401 3915 8402 3917 8402 4062 8402 3915 8403 4065 8403 4066 8403 4067 8404 4109 8404 4066 8404 3913 8405 4066 8405 4109 8405 3915 8406 4066 8406 3913 8406 3883 8407 4109 8407 4067 8407 3881 8408 4109 8408 3883 8408 4108 8409 4109 8409 3881 8409 4108 8410 3913 8410 4109 8410 3883 8411 4067 8411 4054 8411 3875 8412 4054 8412 4057 8412 3883 8413 4054 8413 3875 8413 4110 8414 4111 8414 4057 8414 3878 8415 4057 8415 4111 8415 4058 8416 4110 8416 4057 8416 3875 8417 4057 8417 3878 8417 3926 8418 4111 8418 4110 8418 4112 8419 3878 8419 4111 8419 4112 8420 4111 8420 3926 8420 3926 8421 4110 8421 4058 8421 3923 8422 4058 8422 4059 8422 3926 8423 4058 8423 3923 8423 3925 8424 4059 8424 4050 8424 3923 8425 4059 8425 3925 8425 3937 8426 4050 8426 4053 8426 3925 8427 4050 8427 3937 8427 3932 8428 4053 8428 4092 8428 3937 8429 4053 8429 3932 8429 3929 8430 4092 8430 4090 8430 3929 8431 3932 8431 4092 8431 4113 8432 4114 8432 4090 8432 3929 8433 4090 8433 4114 8433 4115 8434 4113 8434 4090 8434 4091 8435 4115 8435 4090 8435 4113 8436 4116 8436 4114 8436 3926 8437 4114 8437 4116 8437 3929 8438 4114 8438 3926 8438 3906 8439 4116 8439 4113 8439 4117 8440 4116 8440 3906 8440 4117 8441 3926 8441 4116 8441 3909 8442 4113 8442 4115 8442 3906 8443 4113 8443 3909 8443 4091 8444 4118 8444 4115 8444 3904 8445 4115 8445 4118 8445 3909 8446 4115 8446 3904 8446 4119 8447 4120 8447 4118 8447 3904 8448 4118 8448 4120 8448 4091 8449 4119 8449 4118 8449 3940 8450 4120 8450 4119 8450 4121 8451 3904 8451 4120 8451 4121 8452 4120 8452 3940 8452 3940 8453 4119 8453 4091 8453 3938 8454 4091 8454 4093 8454 3940 8455 4091 8455 3938 8455 3939 8456 4093 8456 4037 8456 3938 8457 4093 8457 3939 8457 3946 8458 4037 8458 4040 8458 3939 8459 4037 8459 3946 8459 3944 8460 4040 8460 4026 8460 3946 8461 4040 8461 3944 8461 3942 8462 4026 8462 4033 8462 3942 8463 3944 8463 4026 8463 3942 8464 4033 8464 4034 8464 4035 8465 4122 8465 4034 8465 3940 8466 4034 8466 4122 8466 3942 8467 4034 8467 3940 8467 3901 8468 4122 8468 4035 8468 3899 8469 4122 8469 3901 8469 4123 8470 4122 8470 3899 8470 4123 8471 3940 8471 4122 8471 3901 8472 4035 8472 4030 8472 3896 8473 4030 8473 4087 8473 3901 8474 4030 8474 3896 8474 3889 8475 3896 8475 4087 8475 4010 8476 4124 8476 4125 8476 4126 8477 4125 8477 4124 8477 4127 8478 4010 8478 4125 8478 4127 8479 4125 8479 4128 8479 4129 8480 4128 8480 4125 8480 4129 8481 4125 8481 4126 8481 4013 8482 4130 8482 4124 8482 4131 8483 4124 8483 4130 8483 4010 8484 4013 8484 4124 8484 4132 8485 4133 8485 4124 8485 4126 8486 4124 8486 4133 8486 4131 8487 4132 8487 4124 8487 4134 8488 4130 8488 4135 8488 4014 8489 4135 8489 4130 8489 4136 8490 4130 8490 4134 8490 4013 8491 4014 8491 4130 8491 4131 8492 4130 8492 4137 8492 4138 8493 4137 8493 4130 8493 4136 8494 4138 8494 4130 8494 4015 8495 4134 8495 4135 8495 4014 8496 4015 8496 4135 8496 4016 8497 4139 8497 4134 8497 4140 8498 4134 8498 4139 8498 4015 8499 4016 8499 4134 8499 4136 8500 4134 8500 4140 8500 4017 8501 4141 8501 4139 8501 4142 8502 4139 8502 4141 8502 4016 8503 4017 8503 4139 8503 4142 8504 4143 8504 4139 8504 4140 8505 4139 8505 4143 8505 4144 8506 4145 8506 4141 8506 4146 8507 4141 8507 4145 8507 4017 8508 4144 8508 4141 8508 4147 8509 4142 8509 4141 8509 4148 8510 4147 8510 4141 8510 4149 8511 4148 8511 4141 8511 4146 8512 4149 8512 4141 8512 4144 8513 4150 8513 4145 8513 4146 8514 4145 8514 4150 8514 4044 8515 4150 8515 4144 8515 4044 8516 4146 8516 4150 8516 4017 8517 4151 8517 4144 8517 4044 8518 4144 8518 4151 8518 4018 8519 4152 8519 4151 8519 4043 8520 4151 8520 4152 8520 4017 8521 4018 8521 4151 8521 4044 8522 4151 8522 4043 8522 4018 8523 4153 8523 4152 8523 4042 8524 4152 8524 4153 8524 4043 8525 4152 8525 4042 8525 4018 8526 4154 8526 4153 8526 4041 8527 4153 8527 4154 8527 4042 8528 4153 8528 4041 8528 4019 8529 4154 8529 4018 8529 4155 8530 4154 8530 4019 8530 4029 8531 4154 8531 4155 8531 4041 8532 4154 8532 4029 8532 4156 8533 4008 8533 4010 8533 4157 8534 4156 8534 4010 8534 4158 8535 4157 8535 4010 8535 4159 8536 4158 8536 4010 8536 4160 8537 4159 8537 4010 8537 4128 8538 4160 8538 4010 8538 4127 8539 4128 8539 4010 8539 4161 8540 4008 8540 4156 8540 4162 8541 4163 8541 4008 8541 4009 8542 4008 8542 4163 8542 4161 8543 4162 8543 4008 8543 4064 8544 4156 8544 4157 8544 4077 8545 4161 8545 4156 8545 4077 8546 4156 8546 4064 8546 4068 8547 4157 8547 4158 8547 4068 8548 4064 8548 4157 8548 4056 8549 4158 8549 4159 8549 4068 8550 4158 8550 4056 8550 4060 8551 4159 8551 4160 8551 4056 8552 4159 8552 4060 8552 4129 8553 4160 8553 4128 8553 4164 8554 4160 8554 4129 8554 4165 8555 4160 8555 4164 8555 4061 8556 4160 8556 4166 8556 4165 8557 4166 8557 4160 8557 4060 8558 4160 8558 4061 8558 4019 8559 4167 8559 4168 8559 4169 8560 4168 8560 4167 8560 4170 8561 4019 8561 4168 8561 4170 8562 4168 8562 4171 8562 4172 8563 4171 8563 4168 8563 4172 8564 4168 8564 4169 8564 4022 8565 4173 8565 4167 8565 4174 8566 4167 8566 4173 8566 4019 8567 4022 8567 4167 8567 4175 8568 4176 8568 4167 8568 4169 8569 4167 8569 4176 8569 4174 8570 4175 8570 4167 8570 4177 8571 4173 8571 4178 8571 4023 8572 4178 8572 4173 8572 4179 8573 4173 8573 4177 8573 4022 8574 4023 8574 4173 8574 4174 8575 4173 8575 4180 8575 4181 8576 4180 8576 4173 8576 4179 8577 4181 8577 4173 8577 4024 8578 4177 8578 4178 8578 4023 8579 4024 8579 4178 8579 4025 8580 4182 8580 4177 8580 4183 8581 4177 8581 4182 8581 4024 8582 4025 8582 4177 8582 4179 8583 4177 8583 4183 8583 4009 8584 4184 8584 4182 8584 4185 8585 4182 8585 4184 8585 4025 8586 4009 8586 4182 8586 4185 8587 4186 8587 4182 8587 4183 8588 4182 8588 4186 8588 4187 8589 4188 8589 4184 8589 4189 8590 4184 8590 4188 8590 4009 8591 4187 8591 4184 8591 4190 8592 4185 8592 4184 8592 4191 8593 4190 8593 4184 8593 4192 8594 4191 8594 4184 8594 4189 8595 4192 8595 4184 8595 4187 8596 4193 8596 4188 8596 4189 8597 4188 8597 4193 8597 4074 8598 4193 8598 4187 8598 4074 8599 4189 8599 4193 8599 4009 8600 4163 8600 4187 8600 4074 8601 4187 8601 4163 8601 4075 8602 4163 8602 4162 8602 4074 8603 4163 8603 4075 8603 4076 8604 4162 8604 4161 8604 4075 8605 4162 8605 4076 8605 4077 8606 4076 8606 4161 8606 4194 8607 4155 8607 4019 8607 4195 8608 4194 8608 4019 8608 4196 8609 4195 8609 4019 8609 4171 8610 4196 8610 4019 8610 4170 8611 4171 8611 4019 8611 4036 8612 4155 8612 4194 8612 4029 8613 4155 8613 4036 8613 4032 8614 4194 8614 4195 8614 4036 8615 4194 8615 4032 8615 4089 8616 4195 8616 4196 8616 4032 8617 4195 8617 4089 8617 4172 8618 4196 8618 4171 8618 4197 8619 4196 8619 4172 8619 4088 8620 4196 8620 4197 8620 4089 8621 4196 8621 4088 8621 4121 8622 3899 8622 3904 8622 4198 8623 3899 8623 4121 8623 4198 8624 4123 8624 3899 8624 4112 8625 3906 8625 3878 8625 4199 8626 3906 8626 4112 8626 4199 8627 4117 8627 3906 8627 4200 8628 4143 8628 4142 8628 4201 8629 4140 8629 4143 8629 4201 8630 4143 8630 4200 8630 4202 8631 4142 8631 4147 8631 4200 8632 4142 8632 4202 8632 4148 8633 4203 8633 4147 8633 4204 8634 4147 8634 4203 8634 4202 8635 4147 8635 4204 8635 4136 8636 4205 8636 4203 8636 4206 8637 4203 8637 4205 8637 4148 8638 4136 8638 4203 8638 4204 8639 4203 8639 4206 8639 4136 8640 4140 8640 4205 8640 4207 8641 4205 8641 4140 8641 4207 8642 4206 8642 4205 8642 4207 8643 4140 8643 4201 8643 4181 8644 4208 8644 4180 8644 4209 8645 4180 8645 4208 8645 4210 8646 4174 8646 4180 8646 4210 8647 4180 8647 4209 8647 4211 8648 4212 8648 4208 8648 4213 8649 4208 8649 4212 8649 4181 8650 4211 8650 4208 8650 4209 8651 4208 8651 4213 8651 4211 8652 4176 8652 4212 8652 4214 8653 4212 8653 4176 8653 4213 8654 4212 8654 4214 8654 4215 8655 4176 8655 4175 8655 4211 8656 4169 8656 4176 8656 4214 8657 4176 8657 4215 8657 4216 8658 4175 8658 4174 8658 4216 8659 4215 8659 4175 8659 4216 8660 4174 8660 4210 8660 4217 8661 4186 8661 4185 8661 4218 8662 4183 8662 4186 8662 4218 8663 4186 8663 4217 8663 4219 8664 4185 8664 4190 8664 4217 8665 4185 8665 4219 8665 4191 8666 4220 8666 4190 8666 4221 8667 4190 8667 4220 8667 4219 8668 4190 8668 4221 8668 4179 8669 4222 8669 4220 8669 4223 8670 4220 8670 4222 8670 4191 8671 4179 8671 4220 8671 4221 8672 4220 8672 4223 8672 4179 8673 4183 8673 4222 8673 4224 8674 4222 8674 4183 8674 4224 8675 4223 8675 4222 8675 4224 8676 4183 8676 4218 8676 4138 8677 4225 8677 4137 8677 4226 8678 4137 8678 4225 8678 4227 8679 4131 8679 4137 8679 4227 8680 4137 8680 4226 8680 4228 8681 4229 8681 4225 8681 4230 8682 4225 8682 4229 8682 4138 8683 4228 8683 4225 8683 4226 8684 4225 8684 4230 8684 4228 8685 4133 8685 4229 8685 4231 8686 4229 8686 4133 8686 4230 8687 4229 8687 4231 8687 4232 8688 4133 8688 4132 8688 4228 8689 4126 8689 4133 8689 4231 8690 4133 8690 4232 8690 4233 8691 4132 8691 4131 8691 4233 8692 4232 8692 4132 8692 4233 8693 4131 8693 4227 8693 4234 8694 4169 8694 4211 8694 4172 8695 4169 8695 4235 8695 4236 8696 4235 8696 4169 8696 4236 8697 4169 8697 4234 8697 4237 8698 4211 8698 4181 8698 4234 8699 4211 8699 4237 8699 4237 8700 4181 8700 4179 8700 4238 8701 4179 8701 4191 8701 4237 8702 4179 8702 4238 8702 4239 8703 4191 8703 4192 8703 4238 8704 4191 8704 4239 8704 4240 8705 4192 8705 4189 8705 4241 8706 4192 8706 4240 8706 4241 8707 4239 8707 4192 8707 4242 8708 4126 8708 4228 8708 4129 8709 4126 8709 4243 8709 4244 8710 4243 8710 4126 8710 4244 8711 4126 8711 4242 8711 4245 8712 4228 8712 4138 8712 4242 8713 4228 8713 4245 8713 4245 8714 4138 8714 4136 8714 4246 8715 4136 8715 4148 8715 4245 8716 4136 8716 4246 8716 4247 8717 4148 8717 4149 8717 4246 8718 4148 8718 4247 8718 4248 8719 4149 8719 4146 8719 4249 8720 4149 8720 4248 8720 4249 8721 4247 8721 4149 8721 4172 8722 4235 8722 4250 8722 4236 8723 4250 8723 4235 8723 4251 8724 4172 8724 4250 8724 4234 8725 4251 8725 4250 8725 4236 8726 4234 8726 4250 8726 4197 8727 4172 8727 4251 8727 4234 8728 4252 8728 4251 8728 4083 8729 4251 8729 4252 8729 4083 8730 4197 8730 4251 8730 4234 8731 4253 8731 4252 8731 4083 8732 4252 8732 4253 8732 4237 8733 4254 8733 4253 8733 4081 8734 4253 8734 4254 8734 4234 8735 4237 8735 4253 8735 4081 8736 4083 8736 4253 8736 4255 8737 4254 8737 4256 8737 4237 8738 4256 8738 4254 8738 4257 8739 4254 8739 4255 8739 4079 8740 4254 8740 4257 8740 4079 8741 4081 8741 4254 8741 4238 8742 4255 8742 4256 8742 4237 8743 4238 8743 4256 8743 4239 8744 4257 8744 4255 8744 4238 8745 4239 8745 4255 8745 4239 8746 4258 8746 4257 8746 4079 8747 4257 8747 4258 8747 4259 8748 4260 8748 4258 8748 4071 8749 4258 8749 4260 8749 4239 8750 4259 8750 4258 8750 4071 8751 4079 8751 4258 8751 4240 8752 4189 8752 4260 8752 4071 8753 4260 8753 4189 8753 4259 8754 4240 8754 4260 8754 4073 8755 4071 8755 4189 8755 4074 8756 4073 8756 4189 8756 4241 8757 4240 8757 4259 8757 4241 8758 4259 8758 4239 8758 4129 8759 4243 8759 4261 8759 4244 8760 4261 8760 4243 8760 4262 8761 4129 8761 4261 8761 4242 8762 4262 8762 4261 8762 4244 8763 4242 8763 4261 8763 4164 8764 4129 8764 4262 8764 4242 8765 4263 8765 4262 8765 4264 8766 4262 8766 4263 8766 4264 8767 4164 8767 4262 8767 4242 8768 4265 8768 4263 8768 4264 8769 4263 8769 4265 8769 4245 8770 4266 8770 4265 8770 4267 8771 4265 8771 4266 8771 4242 8772 4245 8772 4265 8772 4267 8773 4264 8773 4265 8773 4268 8774 4266 8774 4269 8774 4245 8775 4269 8775 4266 8775 4270 8776 4266 8776 4268 8776 4271 8777 4266 8777 4270 8777 4271 8778 4267 8778 4266 8778 4246 8779 4268 8779 4269 8779 4245 8780 4246 8780 4269 8780 4247 8781 4270 8781 4268 8781 4246 8782 4247 8782 4268 8782 4247 8783 4272 8783 4270 8783 4271 8784 4270 8784 4272 8784 4273 8785 4274 8785 4272 8785 4275 8786 4272 8786 4274 8786 4247 8787 4273 8787 4272 8787 4275 8788 4271 8788 4272 8788 4248 8789 4146 8789 4274 8789 4275 8790 4274 8790 4146 8790 4273 8791 4248 8791 4274 8791 4276 8792 4275 8792 4146 8792 4044 8793 4276 8793 4146 8793 4249 8794 4248 8794 4273 8794 4249 8795 4273 8795 4247 8795 4277 8796 4112 8796 3926 8796 4117 8797 4277 8797 3926 8797 4199 8798 4112 8798 4277 8798 4199 8799 4277 8799 4117 8799 4278 8800 4121 8800 3940 8800 4123 8801 4278 8801 3940 8801 4198 8802 4121 8802 4278 8802 4198 8803 4278 8803 4123 8803 4088 8804 4197 8804 4083 8804 4165 8805 4164 8805 4264 8805 4052 8806 4264 8806 4267 8806 4052 8807 4166 8807 4264 8807 4165 8808 4264 8808 4166 8808 4049 8809 4267 8809 4271 8809 4052 8810 4267 8810 4049 8810 4039 8811 4271 8811 4275 8811 4047 8812 4271 8812 4039 8812 4049 8813 4271 8813 4047 8813 4275 8814 4276 8814 4279 8814 4039 8815 4275 8815 4045 8815 4279 8816 4276 8816 4044 8816 4279 8817 4045 8817 4275 8817 4052 8818 4061 8818 4166 8818 4279 8819 4044 8819 4045 8819 4204 8820 4206 8820 4280 8820 4207 8821 4280 8821 4206 8821 4202 8822 4204 8822 4280 8822 4200 8823 4202 8823 4280 8823 4201 8824 4200 8824 4280 8824 4207 8825 4201 8825 4280 8825 4214 8826 4215 8826 4281 8826 4216 8827 4281 8827 4215 8827 4213 8828 4214 8828 4281 8828 4209 8829 4213 8829 4281 8829 4210 8830 4209 8830 4281 8830 4216 8831 4210 8831 4281 8831 4221 8832 4223 8832 4282 8832 4224 8833 4282 8833 4223 8833 4219 8834 4221 8834 4282 8834 4217 8835 4219 8835 4282 8835 4218 8836 4217 8836 4282 8836 4224 8837 4218 8837 4282 8837 4231 8838 4232 8838 4283 8838 4233 8839 4283 8839 4232 8839 4230 8840 4231 8840 4283 8840 4226 8841 4230 8841 4283 8841 4227 8842 4226 8842 4283 8842 4233 8843 4227 8843 4283 8843 4284 8844 4285 8844 4286 8844 4287 8845 4286 8845 4285 8845 4288 8846 4286 8846 4289 8846 4290 8847 4289 8847 4286 8847 4291 8848 4292 8848 4286 8848 4293 8849 4286 8849 4292 8849 4288 8850 4291 8850 4286 8850 4294 8851 4286 8851 4293 8851 4295 8852 4296 8852 4286 8852 4297 8853 4286 8853 4296 8853 4294 8854 4295 8854 4286 8854 4298 8855 4286 8855 4297 8855 4299 8856 4300 8856 4286 8856 4301 8857 4286 8857 4300 8857 4298 8858 4299 8858 4286 8858 4302 8859 4286 8859 4301 8859 4303 8860 4304 8860 4286 8860 4284 8861 4286 8861 4304 8861 4302 8862 4303 8862 4286 8862 4305 8863 4286 8863 4287 8863 4290 8864 4286 8864 4305 8864 4284 8865 4306 8865 4285 8865 4307 8866 4285 8866 4306 8866 4287 8867 4285 8867 4308 8867 4307 8868 4308 8868 4285 8868 4309 8869 4289 8869 4306 8869 4310 8870 4306 8870 4289 8870 4311 8871 4309 8871 4306 8871 4312 8872 4311 8872 4306 8872 4313 8873 4312 8873 4306 8873 4298 8874 4313 8874 4306 8874 4314 8875 4298 8875 4306 8875 4315 8876 4314 8876 4306 8876 4301 8877 4315 8877 4306 8877 4302 8878 4301 8878 4306 8878 4316 8879 4302 8879 4306 8879 4317 8880 4316 8880 4306 8880 4284 8881 4317 8881 4306 8881 4318 8882 4307 8882 4306 8882 4310 8883 4319 8883 4306 8883 4318 8884 4306 8884 4319 8884 4309 8885 4288 8885 4289 8885 4320 8886 4289 8886 4321 8886 4322 8887 4321 8887 4289 8887 4310 8888 4289 8888 4320 8888 4290 8889 4323 8889 4289 8889 4322 8890 4289 8890 4323 8890 4324 8891 4292 8891 4291 8891 4325 8892 4293 8892 4292 8892 4325 8893 4292 8893 4324 8893 4326 8894 4291 8894 4288 8894 4326 8895 4324 8895 4291 8895 4327 8896 4288 8896 4309 8896 4326 8897 4288 8897 4327 8897 4328 8898 4309 8898 4311 8898 4327 8899 4309 8899 4328 8899 4294 8900 4293 8900 4311 8900 4329 8901 4311 8901 4293 8901 4312 8902 4294 8902 4311 8902 4328 8903 4311 8903 4329 8903 4329 8904 4293 8904 4325 8904 4330 8905 4296 8905 4295 8905 4331 8906 4297 8906 4296 8906 4331 8907 4296 8907 4330 8907 4332 8908 4295 8908 4294 8908 4332 8909 4330 8909 4295 8909 4333 8910 4294 8910 4312 8910 4332 8911 4294 8911 4333 8911 4334 8912 4312 8912 4313 8912 4333 8913 4312 8913 4334 8913 4298 8914 4297 8914 4313 8914 4335 8915 4313 8915 4297 8915 4334 8916 4313 8916 4335 8916 4335 8917 4297 8917 4331 8917 4336 8918 4300 8918 4299 8918 4337 8919 4301 8919 4300 8919 4337 8920 4300 8920 4336 8920 4338 8921 4299 8921 4298 8921 4338 8922 4336 8922 4299 8922 4339 8923 4298 8923 4314 8923 4338 8924 4298 8924 4339 8924 4340 8925 4314 8925 4315 8925 4339 8926 4314 8926 4340 8926 4341 8927 4315 8927 4301 8927 4340 8928 4315 8928 4341 8928 4341 8929 4301 8929 4337 8929 4342 8930 4304 8930 4303 8930 4343 8931 4284 8931 4304 8931 4343 8932 4304 8932 4342 8932 4344 8933 4303 8933 4302 8933 4344 8934 4342 8934 4303 8934 4345 8935 4302 8935 4316 8935 4344 8936 4302 8936 4345 8936 4346 8937 4316 8937 4317 8937 4345 8938 4316 8938 4346 8938 4347 8939 4317 8939 4284 8939 4346 8940 4317 8940 4347 8940 4347 8941 4284 8941 4343 8941 4348 8942 4325 8942 4324 8942 4349 8943 4324 8943 4326 8943 4349 8944 4348 8944 4324 8944 4332 8945 4329 8945 4325 8945 4332 8946 4325 8946 4330 8946 4348 8947 4330 8947 4325 8947 4333 8948 4328 8948 4329 8948 4332 8949 4333 8949 4329 8949 4350 8950 4327 8950 4328 8950 4350 8951 4328 8951 4333 8951 4351 8952 4326 8952 4327 8952 4351 8953 4327 8953 4350 8953 4352 8954 4349 8954 4326 8954 4351 8955 4352 8955 4326 8955 4348 8956 4331 8956 4330 8956 4348 8957 4335 8957 4331 8957 4339 8958 4334 8958 4335 8958 4338 8959 4339 8959 4335 8959 4348 8960 4338 8960 4335 8960 4350 8961 4333 8961 4334 8961 4339 8962 4340 8962 4334 8962 4350 8963 4334 8963 4340 8963 4348 8964 4337 8964 4336 8964 4348 8965 4336 8965 4338 8965 4348 8966 4341 8966 4337 8966 4345 8967 4340 8967 4341 8967 4344 8968 4345 8968 4341 8968 4348 8969 4344 8969 4341 8969 4345 8970 4346 8970 4340 8970 4350 8971 4340 8971 4346 8971 4348 8972 4343 8972 4342 8972 4348 8973 4342 8973 4344 8973 4348 8974 4347 8974 4343 8974 4353 8975 4346 8975 4347 8975 4354 8976 4353 8976 4347 8976 4348 8977 4354 8977 4347 8977 4355 8978 4350 8978 4346 8978 4353 8979 4355 8979 4346 8979 4356 8980 4357 8980 4350 8980 4358 8981 4350 8981 4357 8981 4359 8982 4356 8982 4350 8982 4360 8983 4359 8983 4350 8983 4355 8984 4360 8984 4350 8984 4361 8985 4351 8985 4350 8985 4362 8986 4361 8986 4350 8986 4363 8987 4362 8987 4350 8987 4364 8988 4363 8988 4350 8988 4365 8989 4364 8989 4350 8989 4366 8990 4365 8990 4350 8990 4358 8991 4366 8991 4350 8991 4367 8992 4357 8992 4356 8992 4368 8993 4357 8993 4367 8993 4358 8994 4357 8994 4368 8994 4367 8995 4356 8995 4359 8995 4369 8996 4359 8996 4360 8996 4367 8997 4359 8997 4369 8997 4370 8998 4360 8998 4355 8998 4369 8999 4360 8999 4370 8999 4371 9000 4355 9000 4353 9000 4370 9001 4355 9001 4371 9001 4372 9002 4353 9002 4354 9002 4371 9003 4353 9003 4372 9003 4373 9004 4354 9004 4348 9004 4372 9005 4354 9005 4373 9005 4374 9006 4348 9006 4349 9006 4307 9007 4348 9007 4374 9007 4373 9008 4348 9008 4307 9008 4287 9009 4349 9009 4352 9009 4375 9010 4349 9010 4287 9010 4374 9011 4349 9011 4375 9011 4376 9012 4352 9012 4351 9012 4376 9013 4287 9013 4352 9013 4377 9014 4351 9014 4361 9014 4377 9015 4376 9015 4351 9015 4378 9016 4361 9016 4362 9016 4377 9017 4361 9017 4378 9017 4379 9018 4362 9018 4363 9018 4378 9019 4362 9019 4379 9019 4380 9020 4363 9020 4364 9020 4379 9021 4363 9021 4380 9021 4381 9022 4364 9022 4382 9022 4365 9023 4382 9023 4364 9023 4380 9024 4364 9024 4381 9024 4375 9025 4287 9025 4308 9025 4374 9026 4375 9026 4308 9026 4307 9027 4374 9027 4308 9027 4376 9028 4383 9028 4287 9028 4305 9029 4287 9029 4383 9029 4373 9030 4307 9030 4384 9030 4318 9031 4384 9031 4307 9031 4372 9032 4373 9032 4384 9032 4385 9033 4384 9033 4386 9033 4319 9034 4386 9034 4384 9034 4385 9035 4372 9035 4384 9035 4318 9036 4319 9036 4384 9036 4321 9037 4387 9037 4388 9037 4385 9038 4388 9038 4387 9038 4320 9039 4321 9039 4388 9039 4386 9040 4320 9040 4388 9040 4385 9041 4386 9041 4388 9041 4322 9042 4387 9042 4321 9042 4382 9043 4387 9043 4389 9043 4323 9044 4389 9044 4387 9044 4382 9045 4385 9045 4387 9045 4322 9046 4323 9046 4387 9046 4310 9047 4320 9047 4386 9047 4377 9048 4383 9048 4376 9048 4389 9049 4305 9049 4383 9049 4379 9050 4389 9050 4383 9050 4378 9051 4379 9051 4383 9051 4377 9052 4378 9052 4383 9052 4290 9053 4305 9053 4389 9053 4381 9054 4382 9054 4389 9054 4380 9055 4381 9055 4389 9055 4379 9056 4380 9056 4389 9056 4290 9057 4389 9057 4323 9057 4310 9058 4386 9058 4319 9058 4385 9059 4371 9059 4372 9059 4385 9060 4370 9060 4371 9060 4385 9061 4369 9061 4370 9061 4385 9062 4367 9062 4369 9062 4368 9063 4367 9063 4385 9063 4368 9064 4385 9064 4382 9064 4368 9065 4382 9065 4365 9065 4390 9066 4368 9066 4365 9066 4391 9067 4390 9067 4365 9067 4392 9068 4391 9068 4365 9068 4366 9069 4392 9069 4365 9069 4393 9070 4368 9070 4390 9070 4358 9071 4368 9071 4393 9071 4394 9072 4390 9072 4391 9072 4393 9073 4390 9073 4395 9073 4396 9074 4395 9074 4390 9074 4397 9075 4396 9075 4390 9075 4398 9076 4397 9076 4390 9076 4399 9077 4398 9077 4390 9077 4399 9078 4390 9078 4394 9078 4400 9079 4401 9079 4391 9079 4402 9080 4391 9080 4401 9080 4392 9081 4400 9081 4391 9081 4403 9082 4404 9082 4391 9082 4405 9083 4391 9083 4404 9083 4402 9084 4403 9084 4391 9084 4406 9085 4391 9085 4405 9085 4407 9086 4408 9086 4391 9086 4409 9087 4391 9087 4408 9087 4406 9088 4407 9088 4391 9088 4409 9089 4410 9089 4391 9089 4411 9090 4391 9090 4410 9090 4411 9091 4394 9091 4391 9091 4400 9092 4412 9092 4401 9092 4397 9093 4401 9093 4412 9093 4398 9094 4401 9094 4397 9094 4413 9095 4401 9095 4398 9095 4413 9096 4402 9096 4401 9096 4400 9097 4414 9097 4412 9097 4396 9098 4412 9098 4414 9098 4397 9099 4412 9099 4396 9099 4415 9100 4414 9100 4400 9100 4416 9101 4396 9101 4414 9101 4416 9102 4414 9102 4415 9102 4417 9103 4400 9103 4392 9103 4418 9104 4419 9104 4400 9104 4415 9105 4400 9105 4419 9105 4417 9106 4418 9106 4400 9106 4393 9107 4392 9107 4366 9107 4420 9108 4417 9108 4392 9108 4393 9109 4420 9109 4392 9109 4358 9110 4393 9110 4366 9110 4415 9111 4419 9111 4418 9111 4421 9112 4418 9112 4417 9112 4415 9113 4418 9113 4422 9113 4421 9114 4422 9114 4418 9114 4423 9115 4417 9115 4420 9115 4424 9116 4421 9116 4417 9116 4424 9117 4417 9117 4423 9117 4425 9118 4426 9118 4420 9118 4427 9119 4420 9119 4426 9119 4395 9120 4425 9120 4420 9120 4393 9121 4395 9121 4420 9121 4428 9122 4420 9122 4427 9122 4429 9123 4420 9123 4430 9123 4431 9124 4430 9124 4420 9124 4431 9125 4420 9125 4428 9125 4432 9126 4423 9126 4420 9126 4433 9127 4432 9127 4420 9127 4434 9128 4433 9128 4420 9128 4435 9129 4434 9129 4420 9129 4436 9130 4435 9130 4420 9130 4437 9131 4436 9131 4420 9131 4438 9132 4439 9132 4420 9132 4437 9133 4420 9133 4439 9133 4440 9134 4438 9134 4420 9134 4441 9135 4440 9135 4420 9135 4442 9136 4443 9136 4420 9136 4441 9137 4420 9137 4443 9137 4429 9138 4442 9138 4420 9138 4427 9139 4426 9139 4425 9139 4396 9140 4425 9140 4395 9140 4416 9141 4425 9141 4396 9141 4416 9142 4427 9142 4425 9142 4444 9143 4413 9143 4398 9143 4445 9144 4444 9144 4398 9144 4446 9145 4445 9145 4398 9145 4447 9146 4446 9146 4398 9146 4448 9147 4447 9147 4398 9147 4449 9148 4448 9148 4398 9148 4450 9149 4449 9149 4398 9149 4451 9150 4450 9150 4398 9150 4452 9151 4451 9151 4398 9151 4399 9152 4452 9152 4398 9152 4423 9153 4404 9153 4403 9153 4432 9154 4405 9154 4404 9154 4432 9155 4404 9155 4423 9155 4424 9156 4403 9156 4402 9156 4424 9157 4423 9157 4403 9157 4453 9158 4402 9158 4413 9158 4424 9159 4402 9159 4453 9159 4454 9160 4413 9160 4444 9160 4453 9161 4413 9161 4454 9161 4445 9162 4405 9162 4444 9162 4433 9163 4444 9163 4405 9163 4454 9164 4444 9164 4433 9164 4445 9165 4406 9165 4405 9165 4433 9166 4405 9166 4432 9166 4434 9167 4408 9167 4407 9167 4455 9168 4408 9168 4456 9168 4435 9169 4456 9169 4408 9169 4455 9170 4409 9170 4408 9170 4435 9171 4408 9171 4434 9171 4457 9172 4407 9172 4406 9172 4457 9173 4434 9173 4407 9173 4458 9174 4406 9174 4445 9174 4457 9175 4406 9175 4458 9175 4459 9176 4445 9176 4446 9176 4458 9177 4445 9177 4459 9177 4447 9178 4456 9178 4446 9178 4436 9179 4446 9179 4456 9179 4459 9180 4446 9180 4436 9180 4447 9181 4455 9181 4456 9181 4436 9182 4456 9182 4435 9182 4439 9183 4410 9183 4409 9183 4450 9184 4410 9184 4449 9184 4438 9185 4449 9185 4410 9185 4450 9186 4411 9186 4410 9186 4438 9187 4410 9187 4439 9187 4437 9188 4409 9188 4455 9188 4437 9189 4439 9189 4409 9189 4460 9190 4455 9190 4447 9190 4437 9191 4455 9191 4460 9191 4461 9192 4447 9192 4448 9192 4460 9193 4447 9193 4461 9193 4440 9194 4448 9194 4449 9194 4461 9195 4448 9195 4440 9195 4440 9196 4449 9196 4438 9196 4443 9197 4394 9197 4411 9197 4442 9198 4399 9198 4394 9198 4442 9199 4394 9199 4443 9199 4441 9200 4411 9200 4450 9200 4441 9201 4443 9201 4411 9201 4462 9202 4450 9202 4451 9202 4441 9203 4450 9203 4462 9203 4463 9204 4451 9204 4452 9204 4462 9205 4451 9205 4463 9205 4429 9206 4452 9206 4399 9206 4463 9207 4452 9207 4429 9207 4429 9208 4399 9208 4442 9208 4416 9209 4464 9209 4427 9209 4428 9210 4427 9210 4464 9210 4416 9211 4465 9211 4464 9211 4431 9212 4464 9212 4465 9212 4431 9213 4428 9213 4464 9213 4415 9214 4466 9214 4465 9214 4430 9215 4465 9215 4466 9215 4416 9216 4415 9216 4465 9216 4431 9217 4465 9217 4430 9217 4415 9218 4467 9218 4466 9218 4468 9219 4466 9219 4467 9219 4430 9220 4466 9220 4468 9220 4415 9221 4422 9221 4467 9221 4469 9222 4467 9222 4422 9222 4469 9223 4468 9223 4467 9223 4469 9224 4422 9224 4421 9224 4463 9225 4430 9225 4468 9225 4454 9226 4433 9226 4468 9226 4457 9227 4468 9227 4433 9227 4453 9228 4454 9228 4468 9228 4469 9229 4453 9229 4468 9229 4458 9230 4459 9230 4468 9230 4460 9231 4468 9231 4459 9231 4457 9232 4458 9232 4468 9232 4460 9233 4461 9233 4468 9233 4463 9234 4468 9234 4461 9234 4463 9235 4429 9235 4430 9235 4469 9236 4421 9236 4424 9236 4457 9237 4433 9237 4434 9237 4469 9238 4424 9238 4453 9238 4437 9239 4459 9239 4436 9239 4437 9240 4460 9240 4459 9240 4441 9241 4461 9241 4440 9241 4462 9242 4463 9242 4461 9242 4441 9243 4462 9243 4461 9243 4470 9244 4471 9244 4472 9244 4473 9245 4472 9245 4471 9245 4470 9246 4472 9246 4474 9246 4475 9247 4474 9247 4472 9247 4473 9248 4475 9248 4472 9248 4470 9249 4476 9249 4471 9249 4477 9250 4471 9250 4476 9250 4473 9251 4471 9251 4478 9251 4477 9252 4478 9252 4471 9252 4479 9253 4480 9253 4476 9253 4481 9254 4476 9254 4480 9254 4479 9255 4476 9255 4482 9255 4470 9256 4482 9256 4476 9256 4477 9257 4476 9257 4481 9257 4479 9258 4483 9258 4480 9258 4484 9259 4480 9259 4483 9259 4481 9260 4480 9260 4484 9260 4479 9261 4474 9261 4483 9261 4485 9262 4483 9262 4474 9262 4485 9263 4486 9263 4483 9263 4484 9264 4483 9264 4486 9264 4487 9265 4474 9265 4479 9265 4470 9266 4474 9266 4487 9266 4475 9267 4485 9267 4474 9267 4470 9268 4488 9268 4489 9268 4490 9269 4489 9269 4488 9269 4470 9270 4489 9270 4482 9270 4491 9271 4482 9271 4489 9271 4490 9272 4491 9272 4489 9272 4492 9273 4493 9273 4488 9273 4494 9274 4488 9274 4493 9274 4470 9275 4492 9275 4488 9275 4490 9276 4488 9276 4495 9276 4494 9277 4495 9277 4488 9277 4496 9278 4497 9278 4493 9278 4498 9279 4493 9279 4497 9279 4496 9280 4493 9280 4492 9280 4494 9281 4493 9281 4498 9281 4499 9282 4500 9282 4497 9282 4501 9283 4497 9283 4500 9283 4496 9284 4499 9284 4497 9284 4498 9285 4497 9285 4501 9285 4499 9286 4482 9286 4500 9286 4502 9287 4500 9287 4482 9287 4502 9288 4503 9288 4500 9288 4501 9289 4500 9289 4503 9289 4499 9290 4479 9290 4482 9290 4491 9291 4502 9291 4482 9291 4504 9292 4479 9292 4499 9292 4487 9293 4479 9293 4505 9293 4506 9294 4505 9294 4479 9294 4504 9295 4506 9295 4479 9295 4507 9296 4508 9296 4499 9296 4509 9297 4499 9297 4508 9297 4496 9298 4507 9298 4499 9298 4509 9299 4504 9299 4499 9299 4507 9300 4510 9300 4508 9300 4511 9301 4508 9301 4510 9301 4511 9302 4509 9302 4508 9302 4512 9303 4513 9303 4510 9303 4514 9304 4510 9304 4513 9304 4515 9305 4512 9305 4510 9305 4516 9306 4515 9306 4510 9306 4517 9307 4516 9307 4510 9307 4507 9308 4517 9308 4510 9308 4511 9309 4510 9309 4514 9309 4518 9310 4505 9310 4513 9310 4519 9311 4513 9311 4505 9311 4512 9312 4518 9312 4513 9312 4519 9313 4514 9313 4513 9313 4518 9314 4487 9314 4505 9314 4506 9315 4519 9315 4505 9315 4520 9316 4521 9316 4522 9316 4523 9317 4522 9317 4521 9317 4524 9318 4522 9318 4525 9318 4526 9319 4525 9319 4522 9319 4527 9320 4522 9320 4524 9320 4527 9321 4520 9321 4522 9321 4523 9322 4526 9322 4522 9322 4496 9323 4528 9323 4521 9323 4529 9324 4521 9324 4528 9324 4520 9325 4496 9325 4521 9325 4529 9326 4523 9326 4521 9326 4496 9327 4530 9327 4528 9327 4531 9328 4528 9328 4530 9328 4531 9329 4529 9329 4528 9329 4532 9330 4533 9330 4530 9330 4534 9331 4530 9331 4533 9331 4492 9332 4532 9332 4530 9332 4496 9333 4492 9333 4530 9333 4531 9334 4530 9334 4534 9334 4535 9335 4525 9335 4533 9335 4536 9336 4533 9336 4525 9336 4532 9337 4535 9337 4533 9337 4536 9338 4534 9338 4533 9338 4535 9339 4524 9339 4525 9339 4526 9340 4536 9340 4525 9340 4537 9341 4487 9341 4518 9341 4470 9342 4487 9342 4538 9342 4539 9343 4538 9343 4487 9343 4537 9344 4539 9344 4487 9344 4540 9345 4518 9345 4512 9345 4540 9346 4537 9346 4518 9346 4541 9347 4512 9347 4515 9347 4541 9348 4540 9348 4512 9348 4542 9349 4543 9349 4515 9349 4544 9350 4515 9350 4543 9350 4516 9351 4542 9351 4515 9351 4541 9352 4515 9352 4544 9352 4470 9353 4538 9353 4543 9353 4545 9354 4543 9354 4538 9354 4546 9355 4470 9355 4543 9355 4547 9356 4546 9356 4543 9356 4548 9357 4547 9357 4543 9357 4542 9358 4548 9358 4543 9358 4545 9359 4544 9359 4543 9359 4539 9360 4545 9360 4538 9360 4549 9361 4524 9361 4535 9361 4527 9362 4524 9362 4550 9362 4551 9363 4550 9363 4524 9363 4549 9364 4551 9364 4524 9364 4552 9365 4535 9365 4532 9365 4552 9366 4549 9366 4535 9366 4553 9367 4532 9367 4492 9367 4553 9368 4552 9368 4532 9368 4527 9369 4554 9369 4492 9369 4555 9370 4492 9370 4554 9370 4527 9371 4492 9371 4470 9371 4553 9372 4492 9372 4555 9372 4527 9373 4550 9373 4554 9373 4556 9374 4554 9374 4550 9374 4556 9375 4555 9375 4554 9375 4551 9376 4556 9376 4550 9376 4546 9377 4557 9377 4470 9377 4558 9378 4470 9378 4557 9378 4559 9379 4527 9379 4470 9379 4559 9380 4470 9380 4560 9380 4558 9381 4560 9381 4470 9381 4561 9382 4557 9382 4546 9382 4562 9383 4563 9383 4557 9383 4564 9384 4557 9384 4563 9384 4565 9385 4562 9385 4557 9385 4566 9386 4565 9386 4557 9386 4567 9387 4558 9387 4557 9387 4564 9388 4567 9388 4557 9388 4561 9389 4566 9389 4557 9389 4568 9390 4546 9390 4547 9390 4569 9391 4546 9391 4568 9391 4570 9392 4546 9392 4569 9392 4571 9393 4546 9393 4570 9393 4572 9394 4546 9394 4571 9394 4573 9395 4546 9395 4572 9395 4573 9396 4561 9396 4546 9396 4568 9397 4547 9397 4548 9397 4574 9398 4548 9398 4542 9398 4568 9399 4548 9399 4574 9399 4575 9400 4542 9400 4516 9400 4574 9401 4542 9401 4576 9401 4577 9402 4576 9402 4542 9402 4578 9403 4577 9403 4542 9403 4575 9404 4578 9404 4542 9404 4579 9405 4516 9405 4517 9405 4575 9406 4516 9406 4579 9406 4507 9407 4580 9407 4517 9407 4581 9408 4517 9408 4580 9408 4579 9409 4517 9409 4581 9409 4507 9410 4582 9410 4580 9410 4583 9411 4580 9411 4582 9411 4584 9412 4580 9412 4585 9412 4583 9413 4585 9413 4580 9413 4581 9414 4580 9414 4584 9414 4586 9415 4582 9415 4507 9415 4587 9416 4583 9416 4582 9416 4586 9417 4587 9417 4582 9417 4588 9418 4507 9418 4496 9418 4589 9419 4507 9419 4588 9419 4590 9420 4507 9420 4589 9420 4591 9421 4586 9421 4507 9421 4590 9422 4591 9422 4507 9422 4592 9423 4496 9423 4520 9423 4593 9424 4496 9424 4592 9424 4594 9425 4588 9425 4496 9425 4595 9426 4594 9426 4496 9426 4593 9427 4595 9427 4496 9427 4596 9428 4597 9428 4520 9428 4598 9429 4520 9429 4597 9429 4527 9430 4596 9430 4520 9430 4599 9431 4520 9431 4598 9431 4592 9432 4520 9432 4599 9432 4600 9433 4601 9433 4597 9433 4602 9434 4597 9434 4601 9434 4596 9435 4600 9435 4597 9435 4603 9436 4597 9436 4602 9436 4598 9437 4597 9437 4603 9437 4604 9438 4601 9438 4600 9438 4605 9439 4602 9439 4601 9439 4605 9440 4601 9440 4604 9440 4606 9441 4600 9441 4596 9441 4607 9442 4608 9442 4600 9442 4604 9443 4600 9443 4608 9443 4609 9444 4607 9444 4600 9444 4610 9445 4609 9445 4600 9445 4606 9446 4610 9446 4600 9446 4611 9447 4596 9447 4527 9447 4611 9448 4612 9448 4596 9448 4613 9449 4596 9449 4612 9449 4613 9450 4606 9450 4596 9450 4614 9451 4527 9451 4559 9451 4611 9452 4527 9452 4614 9452 4579 9453 4486 9453 4615 9453 4485 9454 4615 9454 4486 9454 4579 9455 4615 9455 4616 9455 4475 9456 4616 9456 4615 9456 4475 9457 4615 9457 4485 9457 4579 9458 4617 9458 4486 9458 4484 9459 4486 9459 4617 9459 4618 9460 4619 9460 4617 9460 4481 9461 4617 9461 4619 9461 4503 9462 4618 9462 4617 9462 4579 9463 4503 9463 4617 9463 4481 9464 4484 9464 4617 9464 4620 9465 4478 9465 4619 9465 4477 9466 4619 9466 4478 9466 4620 9467 4619 9467 4618 9467 4477 9468 4481 9468 4619 9468 4621 9469 4616 9469 4478 9469 4473 9470 4478 9470 4616 9470 4621 9471 4478 9471 4620 9471 4621 9472 4622 9472 4616 9472 4579 9473 4616 9473 4622 9473 4473 9474 4616 9474 4475 9474 4502 9475 4618 9475 4503 9475 4491 9476 4620 9476 4618 9476 4491 9477 4618 9477 4502 9477 4579 9478 4623 9478 4503 9478 4501 9479 4503 9479 4623 9479 4612 9480 4624 9480 4623 9480 4498 9481 4623 9481 4624 9481 4625 9482 4626 9482 4623 9482 4627 9483 4623 9483 4626 9483 4628 9484 4625 9484 4623 9484 4629 9485 4628 9485 4623 9485 4579 9486 4629 9486 4623 9486 4612 9487 4623 9487 4627 9487 4498 9488 4501 9488 4623 9488 4612 9489 4495 9489 4624 9489 4494 9490 4624 9490 4495 9490 4494 9491 4498 9491 4624 9491 4612 9492 4620 9492 4495 9492 4490 9493 4495 9493 4620 9493 4630 9494 4621 9494 4620 9494 4612 9495 4630 9495 4620 9495 4490 9496 4620 9496 4491 9496 4579 9497 4622 9497 4631 9497 4632 9498 4631 9498 4622 9498 4576 9499 4631 9499 4633 9499 4634 9500 4633 9500 4631 9500 4576 9501 4579 9501 4631 9501 4635 9502 4631 9502 4632 9502 4635 9503 4634 9503 4631 9503 4636 9504 4622 9504 4621 9504 4636 9505 4632 9505 4622 9505 4630 9506 4637 9506 4621 9506 4638 9507 4621 9507 4637 9507 4638 9508 4636 9508 4621 9508 4639 9509 4640 9509 4637 9509 4641 9510 4637 9510 4640 9510 4630 9511 4639 9511 4637 9511 4642 9512 4638 9512 4637 9512 4641 9513 4642 9513 4637 9513 4639 9514 4633 9514 4640 9514 4643 9515 4640 9515 4633 9515 4643 9516 4641 9516 4640 9516 4574 9517 4633 9517 4639 9517 4574 9518 4576 9518 4633 9518 4644 9519 4643 9519 4633 9519 4634 9520 4644 9520 4633 9520 4581 9521 4645 9521 4646 9521 4647 9522 4646 9522 4645 9522 4579 9523 4646 9523 4629 9523 4648 9524 4629 9524 4646 9524 4579 9525 4581 9525 4646 9525 4649 9526 4646 9526 4647 9526 4650 9527 4648 9527 4646 9527 4649 9528 4650 9528 4646 9528 4584 9529 4626 9529 4645 9529 4651 9530 4645 9530 4626 9530 4581 9531 4584 9531 4645 9531 4652 9532 4647 9532 4645 9532 4651 9533 4652 9533 4645 9533 4653 9534 4626 9534 4625 9534 4627 9535 4626 9535 4654 9535 4655 9536 4654 9536 4626 9536 4584 9537 4655 9537 4626 9537 4653 9538 4651 9538 4626 9538 4656 9539 4625 9539 4628 9539 4653 9540 4625 9540 4656 9540 4657 9541 4628 9541 4629 9541 4658 9542 4628 9542 4659 9542 4657 9543 4659 9543 4628 9543 4660 9544 4656 9544 4628 9544 4661 9545 4628 9545 4658 9545 4661 9546 4660 9546 4628 9546 4648 9547 4657 9547 4629 9547 4662 9548 4663 9548 4664 9548 4504 9549 4664 9549 4663 9549 4665 9550 4664 9550 4666 9550 4509 9551 4666 9551 4664 9551 4665 9552 4662 9552 4664 9552 4509 9553 4664 9553 4504 9553 4667 9554 4668 9554 4663 9554 4506 9555 4663 9555 4668 9555 4667 9556 4663 9556 4662 9556 4504 9557 4663 9557 4506 9557 4669 9558 4670 9558 4668 9558 4519 9559 4668 9559 4670 9559 4667 9560 4671 9560 4668 9560 4668 9561 4671 9561 4672 9561 4506 9562 4668 9562 4519 9562 4673 9563 4674 9563 4670 9563 4514 9564 4670 9564 4674 9564 4669 9565 4673 9565 4670 9565 4519 9566 4670 9566 4514 9566 4675 9567 4666 9567 4674 9567 4511 9568 4674 9568 4666 9568 4673 9569 4675 9569 4674 9569 4511 9570 4514 9570 4674 9570 4676 9571 4665 9571 4666 9571 4675 9572 4676 9572 4666 9572 4511 9573 4666 9573 4509 9573 4612 9574 4677 9574 4678 9574 4523 9575 4678 9575 4677 9575 4602 9576 4678 9576 4679 9576 4529 9577 4679 9577 4678 9577 4602 9578 4612 9578 4678 9578 4529 9579 4678 9579 4523 9579 4612 9580 4662 9580 4677 9580 4526 9581 4677 9581 4662 9581 4523 9582 4677 9582 4526 9582 4536 9583 4662 9583 4665 9583 4680 9584 4662 9584 4681 9584 4612 9585 4681 9585 4662 9585 4680 9586 4667 9586 4662 9586 4526 9587 4662 9587 4536 9587 4534 9588 4665 9588 4676 9588 4536 9589 4665 9589 4534 9589 4675 9590 4679 9590 4676 9590 4531 9591 4676 9591 4679 9591 4531 9592 4534 9592 4676 9592 4603 9593 4602 9593 4679 9593 4675 9594 4603 9594 4679 9594 4531 9595 4679 9595 4529 9595 4682 9596 4683 9596 4684 9596 4537 9597 4684 9597 4683 9597 4685 9598 4684 9598 4686 9598 4540 9599 4686 9599 4684 9599 4685 9600 4682 9600 4684 9600 4540 9601 4684 9601 4537 9601 4611 9602 4687 9602 4683 9602 4539 9603 4683 9603 4687 9603 4611 9604 4683 9604 4682 9604 4537 9605 4683 9605 4539 9605 4688 9606 4689 9606 4687 9606 4545 9607 4687 9607 4689 9607 4690 9608 4688 9608 4687 9608 4611 9609 4690 9609 4687 9609 4539 9610 4687 9610 4545 9610 4688 9611 4691 9611 4689 9611 4544 9612 4689 9612 4691 9612 4545 9613 4689 9613 4544 9613 4692 9614 4686 9614 4691 9614 4541 9615 4691 9615 4686 9615 4688 9616 4692 9616 4691 9616 4541 9617 4544 9617 4691 9617 4693 9618 4685 9618 4686 9618 4692 9619 4693 9619 4686 9619 4541 9620 4686 9620 4540 9620 4612 9621 4694 9621 4695 9621 4549 9622 4695 9622 4694 9622 4612 9623 4695 9623 4696 9623 4552 9624 4696 9624 4695 9624 4552 9625 4695 9625 4549 9625 4611 9626 4682 9626 4694 9626 4551 9627 4694 9627 4682 9627 4611 9628 4694 9628 4612 9628 4549 9629 4694 9629 4551 9629 4556 9630 4682 9630 4685 9630 4551 9631 4682 9631 4556 9631 4555 9632 4685 9632 4693 9632 4556 9633 4685 9633 4555 9633 4692 9634 4696 9634 4693 9634 4553 9635 4693 9635 4696 9635 4553 9636 4555 9636 4693 9636 4697 9637 4696 9637 4698 9637 4692 9638 4698 9638 4696 9638 4697 9639 4699 9639 4696 9639 4612 9640 4696 9640 4699 9640 4553 9641 4696 9641 4552 9641 4700 9642 4701 9642 4702 9642 4703 9643 4702 9643 4701 9643 4704 9644 4702 9644 4705 9644 4706 9645 4705 9645 4702 9645 4704 9646 4700 9646 4702 9646 4706 9647 4702 9647 4703 9647 4627 9648 4654 9648 4701 9648 4707 9649 4701 9649 4654 9649 4700 9650 4627 9650 4701 9650 4703 9651 4701 9651 4707 9651 4669 9652 4708 9652 4654 9652 4709 9653 4654 9653 4708 9653 4655 9654 4669 9654 4654 9654 4707 9655 4654 9655 4709 9655 4669 9656 4710 9656 4708 9656 4711 9657 4708 9657 4710 9657 4709 9658 4708 9658 4711 9658 4669 9659 4672 9659 4710 9659 4712 9660 4710 9660 4672 9660 4711 9661 4710 9661 4712 9661 4672 9662 4669 9662 4668 9662 4713 9663 4672 9663 4671 9663 4713 9664 4712 9664 4672 9664 4714 9665 4705 9665 4671 9665 4715 9666 4671 9666 4705 9666 4667 9667 4714 9667 4671 9667 4713 9668 4671 9668 4715 9668 4714 9669 4704 9669 4705 9669 4715 9670 4705 9670 4706 9670 4612 9671 4716 9671 4681 9671 4717 9672 4681 9672 4716 9672 4718 9673 4680 9673 4681 9673 4718 9674 4681 9674 4717 9674 4612 9675 4627 9675 4716 9675 4719 9676 4716 9676 4627 9676 4717 9677 4716 9677 4719 9677 4720 9678 4627 9678 4700 9678 4719 9679 4627 9679 4720 9679 4721 9680 4700 9680 4704 9680 4720 9681 4700 9681 4721 9681 4722 9682 4704 9682 4714 9682 4721 9683 4704 9683 4722 9683 4723 9684 4714 9684 4667 9684 4723 9685 4722 9685 4714 9685 4724 9686 4667 9686 4680 9686 4723 9687 4667 9687 4724 9687 4724 9688 4680 9688 4718 9688 4725 9689 4726 9689 4727 9689 4728 9690 4727 9690 4726 9690 4729 9691 4727 9691 4730 9691 4731 9692 4730 9692 4727 9692 4729 9693 4725 9693 4727 9693 4731 9694 4727 9694 4728 9694 4697 9695 4698 9695 4726 9695 4732 9696 4726 9696 4698 9696 4725 9697 4697 9697 4726 9697 4728 9698 4726 9698 4732 9698 4569 9699 4733 9699 4698 9699 4734 9700 4698 9700 4733 9700 4692 9701 4569 9701 4698 9701 4732 9702 4698 9702 4734 9702 4569 9703 4735 9703 4733 9703 4736 9704 4733 9704 4735 9704 4734 9705 4733 9705 4736 9705 4735 9706 4569 9706 4568 9706 4737 9707 4735 9707 4738 9707 4736 9708 4735 9708 4737 9708 4568 9709 4739 9709 4738 9709 4740 9710 4738 9710 4739 9710 4568 9711 4738 9711 4735 9711 4740 9712 4737 9712 4738 9712 4741 9713 4730 9713 4739 9713 4742 9714 4739 9714 4730 9714 4639 9715 4741 9715 4739 9715 4574 9716 4639 9716 4739 9716 4568 9717 4574 9717 4739 9717 4740 9718 4739 9718 4742 9718 4741 9719 4729 9719 4730 9719 4742 9720 4730 9720 4731 9720 4612 9721 4699 9721 4743 9721 4744 9722 4743 9722 4699 9722 4612 9723 4743 9723 4630 9723 4745 9724 4630 9724 4743 9724 4745 9725 4743 9725 4744 9725 4746 9726 4699 9726 4697 9726 4744 9727 4699 9727 4746 9727 4747 9728 4697 9728 4725 9728 4746 9729 4697 9729 4747 9729 4748 9730 4725 9730 4729 9730 4747 9731 4725 9731 4748 9731 4749 9732 4729 9732 4741 9732 4748 9733 4729 9733 4749 9733 4750 9734 4741 9734 4639 9734 4750 9735 4749 9735 4741 9735 4751 9736 4639 9736 4630 9736 4750 9737 4639 9737 4751 9737 4751 9738 4630 9738 4745 9738 4613 9739 4612 9739 4602 9739 4604 9740 4606 9740 4602 9740 4613 9741 4602 9741 4606 9741 4605 9742 4604 9742 4602 9742 4675 9743 4598 9743 4603 9743 4675 9744 4599 9744 4598 9744 4588 9745 4592 9745 4599 9745 4675 9746 4588 9746 4599 9746 4752 9747 4592 9747 4588 9747 4752 9748 4593 9748 4592 9748 4753 9749 4588 9749 4675 9749 4589 9750 4588 9750 4753 9750 4594 9751 4754 9751 4588 9751 4755 9752 4588 9752 4754 9752 4755 9753 4752 9753 4588 9753 4756 9754 4675 9754 4673 9754 4756 9755 4753 9755 4675 9755 4757 9756 4673 9756 4669 9756 4758 9757 4673 9757 4757 9757 4756 9758 4673 9758 4758 9758 4757 9759 4669 9759 4655 9759 4584 9760 4585 9760 4655 9760 4759 9761 4655 9761 4585 9761 4759 9762 4757 9762 4655 9762 4583 9763 4760 9763 4585 9763 4759 9764 4585 9764 4760 9764 4761 9765 4579 9765 4576 9765 4762 9766 4575 9766 4579 9766 4763 9767 4762 9767 4579 9767 4761 9768 4763 9768 4579 9768 4761 9769 4576 9769 4577 9769 4570 9770 4569 9770 4692 9770 4764 9771 4692 9771 4688 9771 4764 9772 4570 9772 4692 9772 4765 9773 4688 9773 4690 9773 4766 9774 4688 9774 4765 9774 4764 9775 4688 9775 4766 9775 4614 9776 4767 9776 4690 9776 4765 9777 4690 9777 4767 9777 4611 9778 4614 9778 4690 9778 4560 9779 4563 9779 4767 9779 4768 9780 4767 9780 4563 9780 4559 9781 4560 9781 4767 9781 4614 9782 4559 9782 4767 9782 4765 9783 4767 9783 4768 9783 4769 9784 4563 9784 4560 9784 4768 9785 4563 9785 4562 9785 4769 9786 4564 9786 4563 9786 4558 9787 4770 9787 4560 9787 4771 9788 4560 9788 4770 9788 4771 9789 4769 9789 4560 9789 4756 9790 4589 9790 4753 9790 4772 9791 4583 9791 4589 9791 4773 9792 4589 9792 4583 9792 4774 9793 4772 9793 4589 9793 4775 9794 4774 9794 4589 9794 4776 9795 4775 9795 4589 9795 4756 9796 4776 9796 4589 9796 4773 9797 4590 9797 4589 9797 4777 9798 4754 9798 4594 9798 4778 9799 4755 9799 4754 9799 4778 9800 4754 9800 4777 9800 4779 9801 4594 9801 4595 9801 4780 9802 4777 9802 4594 9802 4780 9803 4594 9803 4779 9803 4781 9804 4595 9804 4593 9804 4779 9805 4595 9805 4782 9805 4783 9806 4782 9806 4595 9806 4783 9807 4595 9807 4781 9807 4784 9808 4593 9808 4752 9808 4781 9809 4593 9809 4784 9809 4785 9810 4752 9810 4755 9810 4786 9811 4752 9811 4785 9811 4784 9812 4752 9812 4786 9812 4787 9813 4755 9813 4778 9813 4785 9814 4755 9814 4787 9814 4642 9815 4632 9815 4636 9815 4788 9816 4632 9816 4642 9816 4789 9817 4632 9817 4788 9817 4635 9818 4632 9818 4789 9818 4642 9819 4636 9819 4638 9819 4790 9820 4788 9820 4642 9820 4641 9821 4790 9821 4642 9821 4791 9822 4789 9822 4788 9822 4792 9823 4788 9823 4790 9823 4792 9824 4791 9824 4788 9824 4791 9825 4635 9825 4789 9825 4793 9826 4790 9826 4641 9826 4794 9827 4792 9827 4790 9827 4793 9828 4795 9828 4790 9828 4794 9829 4790 9829 4795 9829 4796 9830 4641 9830 4643 9830 4797 9831 4793 9831 4641 9831 4796 9832 4797 9832 4641 9832 4798 9833 4643 9833 4644 9833 4798 9834 4796 9834 4643 9834 4799 9835 4644 9835 4634 9835 4799 9836 4798 9836 4644 9836 4800 9837 4634 9837 4635 9837 4800 9838 4801 9838 4634 9838 4802 9839 4634 9839 4801 9839 4802 9840 4803 9840 4634 9840 4799 9841 4634 9841 4803 9841 4804 9842 4635 9842 4791 9842 4805 9843 4800 9843 4635 9843 4804 9844 4805 9844 4635 9844 4806 9845 4791 9845 4792 9845 4806 9846 4807 9846 4791 9846 4804 9847 4791 9847 4807 9847 4808 9848 4806 9848 4792 9848 4794 9849 4808 9849 4792 9849 4809 9850 4810 9850 4811 9850 4812 9851 4811 9851 4810 9851 4813 9852 4809 9852 4811 9852 4814 9853 4813 9853 4811 9853 4815 9854 4814 9854 4811 9854 4815 9855 4811 9855 4812 9855 4816 9856 4647 9856 4810 9856 4817 9857 4810 9857 4647 9857 4809 9858 4816 9858 4810 9858 4818 9859 4810 9859 4817 9859 4818 9860 4812 9860 4810 9860 4648 9861 4647 9861 4816 9861 4819 9862 4647 9862 4652 9862 4820 9863 4647 9863 4648 9863 4649 9864 4647 9864 4820 9864 4821 9865 4647 9865 4819 9865 4817 9866 4647 9866 4821 9866 4659 9867 4816 9867 4809 9867 4657 9868 4816 9868 4659 9868 4648 9869 4816 9869 4657 9869 4659 9870 4809 9870 4813 9870 4656 9871 4659 9871 4813 9871 4814 9872 4656 9872 4813 9872 4822 9873 4659 9873 4656 9873 4822 9874 4658 9874 4659 9874 4815 9875 4656 9875 4814 9875 4823 9876 4653 9876 4656 9876 4660 9877 4822 9877 4656 9877 4815 9878 4823 9878 4656 9878 4824 9879 4652 9879 4651 9879 4825 9880 4652 9880 4826 9880 4824 9881 4826 9881 4652 9881 4819 9882 4652 9882 4825 9882 4827 9883 4651 9883 4653 9883 4824 9884 4651 9884 4827 9884 4823 9885 4827 9885 4653 9885 4660 9886 4658 9886 4822 9886 4661 9887 4658 9887 4660 9887 4828 9888 4820 9888 4648 9888 4650 9889 4828 9889 4648 9889 4650 9890 4820 9890 4828 9890 4649 9891 4820 9891 4650 9891 4829 9892 4562 9892 4565 9892 4768 9893 4562 9893 4829 9893 4829 9894 4565 9894 4571 9894 4830 9895 4571 9895 4565 9895 4831 9896 4830 9896 4565 9896 4566 9897 4831 9897 4565 9897 4832 9898 4770 9898 4558 9898 4833 9899 4771 9899 4770 9899 4833 9900 4770 9900 4832 9900 4834 9901 4558 9901 4567 9901 4835 9902 4832 9902 4558 9902 4835 9903 4558 9903 4834 9903 4836 9904 4567 9904 4564 9904 4837 9905 4567 9905 4836 9905 4834 9906 4567 9906 4837 9906 4838 9907 4564 9907 4769 9907 4836 9908 4564 9908 4838 9908 4839 9909 4769 9909 4771 9909 4840 9910 4769 9910 4839 9910 4838 9911 4769 9911 4840 9911 4839 9912 4771 9912 4841 9912 4842 9913 4841 9913 4771 9913 4842 9914 4771 9914 4833 9914 4604 9915 4608 9915 4843 9915 4844 9916 4843 9916 4608 9916 4604 9917 4843 9917 4845 9917 4846 9918 4845 9918 4843 9918 4846 9919 4843 9919 4844 9919 4847 9920 4608 9920 4607 9920 4844 9921 4608 9921 4847 9921 4848 9922 4607 9922 4609 9922 4847 9923 4607 9923 4848 9923 4849 9924 4609 9924 4610 9924 4848 9925 4609 9925 4849 9925 4604 9926 4845 9926 4610 9926 4850 9927 4610 9927 4845 9927 4604 9928 4610 9928 4606 9928 4850 9929 4849 9929 4610 9929 4850 9930 4845 9930 4846 9930 4851 9931 4577 9931 4578 9931 4852 9932 4761 9932 4577 9932 4852 9933 4577 9933 4851 9933 4853 9934 4578 9934 4575 9934 4851 9935 4578 9935 4853 9935 4854 9936 4575 9936 4762 9936 4853 9937 4575 9937 4854 9937 4855 9938 4762 9938 4763 9938 4854 9939 4762 9939 4855 9939 4856 9940 4763 9940 4761 9940 4856 9941 4855 9941 4763 9941 4856 9942 4761 9942 4852 9942 4764 9943 4571 9943 4570 9943 4857 9944 4829 9944 4571 9944 4858 9945 4857 9945 4571 9945 4859 9946 4858 9946 4571 9946 4764 9947 4859 9947 4571 9947 4830 9948 4572 9948 4571 9948 4772 9949 4760 9949 4583 9949 4759 9950 4760 9950 4772 9950 4860 9951 4583 9951 4587 9951 4860 9952 4773 9952 4583 9952 4765 9953 4861 9953 4862 9953 4863 9954 4862 9954 4861 9954 4766 9955 4862 9955 4859 9955 4864 9956 4859 9956 4862 9956 4766 9957 4765 9957 4862 9957 4865 9958 4862 9958 4863 9958 4864 9959 4862 9959 4865 9959 4768 9960 4829 9960 4861 9960 4866 9961 4861 9961 4829 9961 4765 9962 4768 9962 4861 9962 4867 9963 4861 9963 4868 9963 4866 9964 4868 9964 4861 9964 4863 9965 4861 9965 4867 9965 4869 9966 4829 9966 4857 9966 4866 9967 4829 9967 4869 9967 4870 9968 4857 9968 4858 9968 4871 9969 4857 9969 4870 9969 4869 9970 4857 9970 4871 9970 4872 9971 4858 9971 4859 9971 4873 9972 4858 9972 4874 9972 4872 9973 4874 9973 4858 9973 4870 9974 4858 9974 4873 9974 4764 9975 4766 9975 4859 9975 4872 9976 4859 9976 4864 9976 4757 9977 4875 9977 4876 9977 4877 9978 4876 9978 4875 9978 4758 9979 4876 9979 4776 9979 4878 9980 4776 9980 4876 9980 4758 9981 4757 9981 4876 9981 4879 9982 4876 9982 4877 9982 4879 9983 4878 9983 4876 9983 4759 9984 4772 9984 4875 9984 4880 9985 4875 9985 4772 9985 4759 9986 4875 9986 4757 9986 4881 9987 4875 9987 4880 9987 4882 9988 4875 9988 4881 9988 4882 9989 4877 9989 4875 9989 4883 9990 4772 9990 4774 9990 4880 9991 4772 9991 4883 9991 4884 9992 4774 9992 4775 9992 4885 9993 4883 9993 4774 9993 4884 9994 4885 9994 4774 9994 4886 9995 4775 9995 4776 9995 4887 9996 4884 9996 4775 9996 4888 9997 4775 9997 4886 9997 4887 9998 4775 9998 4888 9998 4756 9999 4758 9999 4776 9999 4886 10000 4776 10000 4878 10000 4889 10001 4587 10001 4586 10001 4883 10002 4860 10002 4587 10002 4890 10003 4883 10003 4587 10003 4890 10004 4587 10004 4891 10004 4892 10005 4891 10005 4587 10005 4892 10006 4587 10006 4889 10006 4893 10007 4586 10007 4591 10007 4894 10008 4586 10008 4893 10008 4889 10009 4586 10009 4894 10009 4895 10010 4591 10010 4590 10010 4896 10011 4591 10011 4895 10011 4893 10012 4591 10012 4896 10012 4897 10013 4590 10013 4773 10013 4898 10014 4590 10014 4897 10014 4895 10015 4590 10015 4898 10015 4887 10016 4773 10016 4860 10016 4899 10017 4773 10017 4888 10017 4887 10018 4888 10018 4773 10018 4897 10019 4773 10019 4899 10019 4885 10020 4860 10020 4883 10020 4884 10021 4860 10021 4885 10021 4887 10022 4860 10022 4884 10022 4900 10023 4572 10023 4830 10023 4901 10024 4573 10024 4572 10024 4902 10025 4572 10025 4900 10025 4901 10026 4572 10026 4902 10026 4873 10027 4830 10027 4831 10027 4903 10028 4900 10028 4830 10028 4873 10029 4874 10029 4830 10029 4903 10030 4830 10030 4874 10030 4869 10031 4831 10031 4566 10031 4870 10032 4873 10032 4831 10032 4871 10033 4870 10033 4831 10033 4869 10034 4871 10034 4831 10034 4904 10035 4566 10035 4561 10035 4905 10036 4566 10036 4904 10036 4906 10037 4566 10037 4905 10037 4907 10038 4869 10038 4566 10038 4906 10039 4907 10039 4566 10039 4908 10040 4561 10040 4573 10040 4909 10041 4561 10041 4908 10041 4904 10042 4561 10042 4909 10042 4910 10043 4573 10043 4901 10043 4908 10044 4573 10044 4910 10044 4890 10045 4880 10045 4883 10045 4891 10046 4881 10046 4880 10046 4890 10047 4891 10047 4880 10047 4892 10048 4881 10048 4891 10048 4911 10049 4882 10049 4881 10049 4911 10050 4881 10050 4892 10050 4912 10051 4877 10051 4882 10051 4913 10052 4879 10052 4877 10052 4913 10053 4877 10053 4912 10053 4912 10054 4882 10054 4911 10054 4914 10055 4886 10055 4878 10055 4915 10056 4914 10056 4878 10056 4913 10057 4878 10057 4879 10057 4915 10058 4878 10058 4913 10058 4899 10059 4888 10059 4886 10059 4914 10060 4899 10060 4886 10060 4915 10061 4899 10061 4914 10061 4915 10062 4897 10062 4899 10062 4916 10063 4917 10063 4918 10063 4819 10064 4918 10064 4917 10064 4919 10065 4916 10065 4918 10065 4920 10066 4919 10066 4918 10066 4825 10067 4826 10067 4918 10067 4921 10068 4918 10068 4826 10068 4819 10069 4825 10069 4918 10069 4921 10070 4920 10070 4918 10070 4898 10071 4922 10071 4917 10071 4923 10072 4917 10072 4922 10072 4916 10073 4898 10073 4917 10073 4821 10074 4819 10074 4917 10074 4923 10075 4924 10075 4917 10075 4925 10076 4917 10076 4924 10076 4817 10077 4821 10077 4917 10077 4925 10078 4817 10078 4917 10078 4898 10079 4926 10079 4922 10079 4779 10080 4922 10080 4926 10080 4782 10081 4923 10081 4922 10081 4779 10082 4782 10082 4922 10082 4898 10083 4927 10083 4926 10083 4780 10084 4926 10084 4927 10084 4780 10085 4779 10085 4926 10085 4898 10086 4897 10086 4927 10086 4780 10087 4927 10087 4897 10087 4915 10088 4928 10088 4897 10088 4777 10089 4897 10089 4928 10089 4780 10090 4897 10090 4777 10090 4916 10091 4895 10091 4898 10091 4916 10092 4896 10092 4895 10092 4916 10093 4893 10093 4896 10093 4916 10094 4894 10094 4893 10094 4916 10095 4889 10095 4894 10095 4892 10096 4889 10096 4916 10096 4915 10097 4916 10097 4919 10097 4911 10098 4892 10098 4916 10098 4912 10099 4911 10099 4916 10099 4913 10100 4912 10100 4916 10100 4915 10101 4913 10101 4916 10101 4915 10102 4929 10102 4928 10102 4787 10103 4928 10103 4929 10103 4778 10104 4777 10104 4928 10104 4787 10105 4778 10105 4928 10105 4915 10106 4919 10106 4929 10106 4930 10107 4929 10107 4919 10107 4930 10108 4787 10108 4929 10108 4920 10109 4930 10109 4919 10109 4824 10110 4921 10110 4826 10110 4931 10111 4787 10111 4930 10111 4785 10112 4787 10112 4931 10112 4931 10113 4930 10113 4920 10113 4824 10114 4920 10114 4921 10114 4931 10115 4920 10115 4824 10115 4932 10116 4924 10116 4923 10116 4818 10117 4925 10117 4924 10117 4932 10118 4818 10118 4924 10118 4932 10119 4923 10119 4782 10119 4932 10120 4782 10120 4783 10120 4818 10121 4817 10121 4925 10121 4793 10122 4933 10122 4795 10122 4794 10123 4795 10123 4933 10123 4797 10124 4933 10124 4793 10124 4797 10125 4794 10125 4933 10125 4800 10126 4934 10126 4801 10126 4802 10127 4801 10127 4934 10127 4805 10128 4934 10128 4800 10128 4802 10129 4934 10129 4805 10129 4935 10130 4807 10130 4806 10130 4936 10131 4804 10131 4807 10131 4935 10132 4936 10132 4807 10132 4937 10133 4806 10133 4808 10133 4935 10134 4806 10134 4938 10134 4937 10135 4938 10135 4806 10135 4834 10136 4808 10136 4794 10136 4834 10137 4937 10137 4808 10137 4835 10138 4794 10138 4797 10138 4835 10139 4834 10139 4794 10139 4832 10140 4797 10140 4796 10140 4835 10141 4797 10141 4832 10141 4936 10142 4805 10142 4804 10142 4939 10143 4802 10143 4805 10143 4939 10144 4805 10144 4936 10144 4939 10145 4803 10145 4802 10145 4940 10146 4799 10146 4803 10146 4940 10147 4803 10147 4939 10147 4842 10148 4796 10148 4798 10148 4833 10149 4832 10149 4796 10149 4842 10150 4833 10150 4796 10150 4941 10151 4798 10151 4799 10151 4941 10152 4842 10152 4798 10152 4940 10153 4942 10153 4799 10153 4941 10154 4799 10154 4942 10154 4943 10155 4944 10155 4936 10155 4939 10156 4936 10156 4944 10156 4938 10157 4943 10157 4936 10157 4935 10158 4938 10158 4936 10158 4902 10159 4900 10159 4944 10159 4945 10160 4944 10160 4900 10160 4901 10161 4902 10161 4944 10161 4910 10162 4901 10162 4944 10162 4908 10163 4910 10163 4944 10163 4909 10164 4908 10164 4944 10164 4943 10165 4909 10165 4944 10165 4946 10166 4905 10166 4944 10166 4939 10167 4944 10167 4905 10167 4947 10168 4946 10168 4944 10168 4948 10169 4947 10169 4944 10169 4945 10170 4948 10170 4944 10170 4903 10171 4945 10171 4900 10171 4949 10172 4904 10172 4909 10172 4950 10173 4949 10173 4909 10173 4951 10174 4950 10174 4909 10174 4943 10175 4951 10175 4909 10175 4838 10176 4904 10176 4949 10176 4952 10177 4905 10177 4904 10177 4840 10178 4952 10178 4904 10178 4838 10179 4840 10179 4904 10179 4836 10180 4949 10180 4950 10180 4836 10181 4838 10181 4949 10181 4837 10182 4950 10182 4951 10182 4837 10183 4836 10183 4950 10183 4953 10184 4951 10184 4943 10184 4953 10185 4837 10185 4951 10185 4938 10186 4953 10186 4943 10186 4868 10187 4905 10187 4946 10187 4954 10188 4939 10188 4905 10188 4952 10189 4954 10189 4905 10189 4868 10190 4906 10190 4905 10190 4867 10191 4946 10191 4947 10191 4867 10192 4868 10192 4946 10192 4863 10193 4947 10193 4948 10193 4863 10194 4867 10194 4947 10194 4864 10195 4948 10195 4945 10195 4865 10196 4863 10196 4948 10196 4864 10197 4865 10197 4948 10197 4955 10198 4864 10198 4945 10198 4903 10199 4955 10199 4945 10199 4956 10200 4939 10200 4954 10200 4956 10201 4942 10201 4939 10201 4940 10202 4939 10202 4942 10202 4839 10203 4954 10203 4952 10203 4841 10204 4956 10204 4954 10204 4839 10205 4841 10205 4954 10205 4840 10206 4839 10206 4952 10206 4872 10207 4903 10207 4874 10207 4866 10208 4869 10208 4907 10208 4866 10209 4907 10209 4906 10209 4866 10210 4906 10210 4868 10210 4872 10211 4864 10211 4955 10211 4872 10212 4955 10212 4903 10212 4781 10213 4815 10213 4812 10213 4932 10214 4812 10214 4818 10214 4783 10215 4781 10215 4812 10215 4932 10216 4783 10216 4812 10216 4785 10217 4827 10217 4823 10217 4931 10218 4824 10218 4827 10218 4785 10219 4931 10219 4827 10219 4784 10220 4823 10220 4815 10220 4786 10221 4785 10221 4823 10221 4784 10222 4786 10222 4823 10222 4781 10223 4784 10223 4815 10223 4711 10224 4712 10224 4957 10224 4713 10225 4957 10225 4712 10225 4709 10226 4711 10226 4957 10226 4707 10227 4709 10227 4957 10227 4703 10228 4707 10228 4957 10228 4706 10229 4703 10229 4957 10229 4715 10230 4706 10230 4957 10230 4713 10231 4715 10231 4957 10231 4721 10232 4722 10232 4958 10232 4723 10233 4958 10233 4722 10233 4720 10234 4721 10234 4958 10234 4719 10235 4720 10235 4958 10235 4717 10236 4719 10236 4958 10236 4718 10237 4717 10237 4958 10237 4724 10238 4718 10238 4958 10238 4723 10239 4724 10239 4958 10239 4736 10240 4737 10240 4959 10240 4740 10241 4959 10241 4737 10241 4734 10242 4736 10242 4959 10242 4732 10243 4734 10243 4959 10243 4728 10244 4732 10244 4959 10244 4731 10245 4728 10245 4959 10245 4742 10246 4731 10246 4959 10246 4740 10247 4742 10247 4959 10247 4748 10248 4749 10248 4960 10248 4750 10249 4960 10249 4749 10249 4747 10250 4748 10250 4960 10250 4746 10251 4747 10251 4960 10251 4744 10252 4746 10252 4960 10252 4745 10253 4744 10253 4960 10253 4751 10254 4745 10254 4960 10254 4750 10255 4751 10255 4960 10255 4941 10256 4942 10256 4956 10256 4941 10257 4956 10257 4841 10257 4941 10258 4841 10258 4842 10258 4937 10259 4837 10259 4953 10259 4834 10260 4837 10260 4937 10260 4937 10261 4953 10261 4938 10261 4848 10262 4849 10262 4961 10262 4850 10263 4961 10263 4849 10263 4847 10264 4848 10264 4961 10264 4844 10265 4847 10265 4961 10265 4846 10266 4844 10266 4961 10266 4850 10267 4846 10267 4961 10267 4854 10268 4855 10268 4962 10268 4856 10269 4962 10269 4855 10269 4853 10270 4854 10270 4962 10270 4851 10271 4853 10271 4962 10271 4852 10272 4851 10272 4962 10272 4856 10273 4852 10273 4962 10273 4963 10274 4964 10274 4965 10274 4966 10275 4965 10275 4964 10275 4967 10276 4965 10276 4968 10276 4969 10277 4968 10277 4965 10277 4970 10278 4965 10278 4967 10278 4971 10279 4963 10279 4965 10279 4970 10280 4971 10280 4965 10280 4969 10281 4965 10281 4966 10281 4972 10282 4973 10282 4964 10282 4974 10283 4964 10283 4973 10283 4975 10284 4972 10284 4964 10284 4976 10285 4975 10285 4964 10285 4963 10286 4976 10286 4964 10286 4966 10287 4964 10287 4974 10287 4977 10288 4978 10288 4973 10288 4979 10289 4973 10289 4978 10289 4972 10290 4977 10290 4973 10290 4974 10291 4973 10291 4979 10291 4980 10292 4981 10292 4978 10292 4982 10293 4978 10293 4981 10293 4983 10294 4980 10294 4978 10294 4984 10295 4983 10295 4978 10295 4985 10296 4984 10296 4978 10296 4977 10297 4985 10297 4978 10297 4979 10298 4978 10298 4982 10298 4980 10299 4968 10299 4981 10299 4986 10300 4981 10300 4968 10300 4986 10301 4982 10301 4981 10301 4980 10302 4967 10302 4968 10302 4986 10303 4968 10303 4969 10303 4987 10304 4988 10304 4989 10304 4990 10305 4989 10305 4988 10305 4991 10306 4989 10306 4992 10306 4993 10307 4992 10307 4989 10307 4991 10308 4987 10308 4989 10308 4993 10309 4989 10309 4990 10309 4994 10310 4995 10310 4988 10310 4996 10311 4988 10311 4995 10311 4987 10312 4994 10312 4988 10312 4990 10313 4988 10313 4996 10313 4997 10314 4998 10314 4995 10314 4999 10315 4995 10315 4998 10315 4967 10316 4997 10316 4995 10316 4994 10317 4967 10317 4995 10317 4996 10318 4995 10318 4999 10318 4997 10319 5000 10319 4998 10319 5001 10320 4998 10320 5000 10320 4999 10321 4998 10321 5001 10321 5002 10322 4992 10322 5000 10322 5003 10323 5000 10323 4992 10323 4997 10324 5002 10324 5000 10324 5003 10325 5001 10325 5000 10325 5004 10326 4992 10326 5002 10326 5004 10327 4991 10327 4992 10327 5003 10328 4992 10328 4993 10328 5005 10329 5006 10329 5007 10329 5008 10330 5007 10330 5006 10330 5009 10331 5007 10331 5010 10331 5011 10332 5010 10332 5007 10332 5009 10333 5012 10333 5007 10333 5013 10334 5007 10334 5012 10334 5014 10335 5005 10335 5007 10335 5015 10336 5014 10336 5007 10336 5013 10337 5015 10337 5007 10337 5011 10338 5007 10338 5008 10338 5016 10339 5017 10339 5006 10339 5018 10340 5006 10340 5017 10340 5019 10341 5016 10341 5006 10341 5020 10342 5019 10342 5006 10342 5005 10343 5020 10343 5006 10343 5008 10344 5006 10344 5018 10344 5021 10345 5022 10345 5017 10345 5023 10346 5017 10346 5022 10346 5016 10347 5021 10347 5017 10347 5018 10348 5017 10348 5023 10348 5009 10349 5024 10349 5022 10349 5025 10350 5022 10350 5024 10350 5026 10351 5009 10351 5022 10351 5021 10352 5026 10352 5022 10352 5023 10353 5022 10353 5025 10353 5009 10354 5010 10354 5024 10354 5027 10355 5024 10355 5010 10355 5027 10356 5025 10356 5024 10356 5027 10357 5010 10357 5011 10357 5028 10358 5029 10358 5030 10358 5031 10359 5030 10359 5029 10359 5032 10360 5030 10360 5033 10360 5034 10361 5033 10361 5030 10361 5032 10362 5028 10362 5030 10362 5034 10363 5030 10363 5031 10363 5013 10364 5035 10364 5029 10364 5036 10365 5029 10365 5035 10365 5013 10366 5029 10366 5028 10366 5031 10367 5029 10367 5036 10367 5012 10368 5037 10368 5035 10368 5038 10369 5035 10369 5037 10369 5013 10370 5012 10370 5035 10370 5036 10371 5035 10371 5038 10371 5039 10372 5040 10372 5037 10372 5041 10373 5037 10373 5040 10373 5012 10374 5039 10374 5037 10374 5038 10375 5037 10375 5041 10375 5042 10376 5033 10376 5040 10376 5043 10377 5040 10377 5033 10377 5039 10378 5042 10378 5040 10378 5043 10379 5041 10379 5040 10379 5044 10380 5032 10380 5033 10380 5045 10381 5044 10381 5033 10381 5046 10382 5045 10382 5033 10382 5042 10383 5046 10383 5033 10383 5043 10384 5033 10384 5034 10384 5047 10385 5028 10385 5032 10385 5048 10386 5013 10386 5028 10386 5047 10387 5048 10387 5028 10387 5049 10388 5032 10388 5044 10388 5050 10389 5047 10389 5032 10389 5050 10390 5032 10390 5051 10390 5049 10391 5051 10391 5032 10391 5045 10392 5052 10392 5044 10392 5053 10393 5044 10393 5052 10393 5049 10394 5044 10394 5053 10394 5045 10395 5054 10395 5052 10395 5053 10396 5052 10396 5054 10396 5055 10397 5054 10397 5045 10397 5056 10398 5053 10398 5054 10398 5055 10399 5056 10399 5054 10399 5057 10400 5045 10400 5046 10400 5057 10401 5055 10401 5045 10401 5058 10402 5046 10402 5042 10402 5057 10403 5046 10403 5058 10403 5059 10404 5042 10404 5039 10404 5060 10405 5042 10405 5059 10405 5060 10406 5058 10406 5042 10406 5061 10407 5039 10407 5012 10407 5059 10408 5039 10408 5061 10408 5062 10409 5012 10409 5009 10409 5061 10410 5012 10410 5062 10410 5063 10411 5009 10411 5026 10411 5062 10412 5009 10412 5063 10412 5021 10413 5064 10413 5026 10413 5065 10414 5026 10414 5064 10414 5063 10415 5026 10415 5065 10415 5066 10416 5002 10416 5064 10416 5067 10417 5064 10417 5002 10417 5021 10418 5066 10418 5064 10418 5065 10419 5064 10419 5067 10419 5068 10420 5002 10420 4997 10420 5066 10421 5004 10421 5002 10421 5067 10422 5002 10422 5068 10422 5069 10423 4997 10423 4967 10423 5068 10424 4997 10424 5069 10424 5070 10425 4967 10425 4980 10425 4994 10426 4970 10426 4967 10426 5069 10427 4967 10427 5070 10427 5071 10428 5072 10428 4980 10428 5073 10429 4980 10429 5072 10429 4983 10430 5071 10430 4980 10430 5074 10431 5070 10431 4980 10431 5074 10432 4980 10432 5073 10432 5075 10433 5072 10433 5071 10433 5075 10434 5076 10434 5072 10434 5077 10435 5072 10435 5076 10435 5073 10436 5072 10436 5078 10436 5077 10437 5078 10437 5072 10437 5075 10438 5071 10438 4983 10438 5079 10439 4983 10439 4984 10439 5080 10440 4983 10440 5079 10440 5075 10441 4983 10441 5080 10441 5079 10442 4984 10442 4985 10442 4977 10443 5081 10443 4985 10443 5082 10444 4985 10444 5081 10444 5079 10445 4985 10445 5082 10445 5083 10446 5081 10446 4977 10446 5084 10447 5081 10447 5083 10447 5082 10448 5081 10448 5084 10448 5083 10449 4977 10449 4972 10449 5085 10450 4972 10450 4975 10450 5085 10451 5083 10451 4972 10451 5086 10452 4975 10452 4976 10452 5086 10453 5085 10453 4975 10453 5087 10454 4976 10454 4963 10454 5086 10455 4976 10455 5087 10455 5088 10456 4963 10456 4971 10456 5088 10457 5087 10457 4963 10457 5089 10458 5090 10458 4971 10458 5091 10459 4971 10459 5090 10459 4970 10460 5089 10460 4971 10460 5088 10461 4971 10461 5091 10461 5092 10462 5093 10462 5090 10462 5094 10463 5090 10463 5093 10463 5089 10464 5092 10464 5090 10464 5094 10465 5091 10465 5090 10465 5095 10466 5096 10466 5093 10466 5097 10467 5093 10467 5096 10467 5092 10468 5095 10468 5093 10468 5094 10469 5093 10469 5097 10469 5098 10470 5096 10470 5095 10470 5098 10471 5097 10471 5096 10471 5099 10472 5095 10472 5092 10472 5099 10473 5098 10473 5095 10473 5100 10474 5092 10474 5089 10474 5099 10475 5092 10475 5100 10475 5101 10476 5089 10476 4970 10476 5101 10477 5100 10477 5089 10477 5102 10478 4970 10478 4994 10478 5101 10479 4970 10479 5102 10479 5103 10480 4994 10480 4987 10480 5103 10481 5102 10481 4994 10481 5104 10482 4987 10482 4991 10482 5103 10483 4987 10483 5104 10483 5105 10484 4991 10484 5004 10484 5105 10485 5104 10485 4991 10485 5106 10486 5004 10486 5066 10486 5105 10487 5004 10487 5106 10487 5107 10488 5066 10488 5021 10488 5107 10489 5106 10489 5066 10489 5108 10490 5021 10490 5016 10490 5108 10491 5107 10491 5021 10491 5109 10492 5016 10492 5019 10492 5108 10493 5016 10493 5109 10493 5110 10494 5019 10494 5020 10494 5110 10495 5109 10495 5019 10495 5111 10496 5020 10496 5005 10496 5110 10497 5020 10497 5111 10497 5112 10498 5005 10498 5014 10498 5112 10499 5111 10499 5005 10499 5113 10500 5114 10500 5014 10500 5115 10501 5014 10501 5114 10501 5015 10502 5113 10502 5014 10502 5112 10503 5014 10503 5115 10503 5116 10504 5117 10504 5114 10504 5118 10505 5114 10505 5117 10505 5113 10506 5116 10506 5114 10506 5118 10507 5115 10507 5114 10507 5119 10508 5120 10508 5117 10508 5121 10509 5117 10509 5120 10509 5116 10510 5119 10510 5117 10510 5118 10511 5117 10511 5121 10511 5122 10512 5120 10512 5119 10512 5122 10513 5121 10513 5120 10513 5123 10514 5119 10514 5116 10514 5123 10515 5122 10515 5119 10515 5124 10516 5116 10516 5113 10516 5123 10517 5116 10517 5124 10517 5125 10518 5113 10518 5015 10518 5125 10519 5124 10519 5113 10519 5126 10520 5015 10520 5013 10520 5125 10521 5015 10521 5126 10521 5048 10522 5126 10522 5013 10522 5127 10523 5128 10523 5129 10523 4966 10524 5129 10524 5128 10524 5130 10525 5129 10525 5131 10525 4974 10526 5131 10526 5129 10526 5127 10527 5129 10527 5130 10527 4966 10528 4974 10528 5129 10528 5127 10529 5132 10529 5128 10529 4969 10530 5128 10530 5132 10530 4969 10531 4966 10531 5128 10531 5133 10532 5134 10532 5132 10532 4986 10533 5132 10533 5134 10533 5127 10534 5133 10534 5132 10534 4986 10535 4969 10535 5132 10535 5135 10536 5136 10536 5134 10536 4982 10537 5134 10537 5136 10537 5137 10538 5135 10538 5134 10538 5133 10539 5137 10539 5134 10539 4986 10540 5134 10540 4982 10540 5138 10541 5131 10541 5136 10541 4979 10542 5136 10542 5131 10542 5135 10543 5138 10543 5136 10543 4979 10544 4982 10544 5136 10544 5138 10545 5130 10545 5131 10545 4974 10546 4979 10546 5131 10546 5139 10547 5140 10547 5141 10547 4990 10548 5141 10548 5140 10548 5142 10549 5141 10549 5143 10549 4996 10550 5143 10550 5141 10550 5142 10551 5139 10551 5141 10551 4990 10552 4996 10552 5141 10552 5144 10553 5145 10553 5140 10553 4993 10554 5140 10554 5145 10554 5139 10555 5144 10555 5140 10555 4993 10556 4990 10556 5140 10556 5146 10557 5147 10557 5145 10557 5003 10558 5145 10558 5147 10558 5148 10559 5145 10559 5144 10559 5148 10560 5146 10560 5145 10560 5003 10561 4993 10561 5145 10561 5146 10562 5149 10562 5147 10562 5001 10563 5147 10563 5149 10563 5003 10564 5147 10564 5001 10564 5146 10565 5143 10565 5149 10565 4999 10566 5149 10566 5143 10566 4999 10567 5001 10567 5149 10567 5146 10568 5142 10568 5143 10568 4996 10569 4999 10569 5143 10569 5150 10570 5151 10570 5152 10570 5008 10571 5152 10571 5151 10571 5153 10572 5152 10572 5154 10572 5018 10573 5154 10573 5152 10573 5150 10574 5152 10574 5153 10574 5008 10575 5018 10575 5152 10575 5150 10576 5155 10576 5151 10576 5011 10577 5151 10577 5155 10577 5011 10578 5008 10578 5151 10578 5156 10579 5157 10579 5155 10579 5027 10580 5155 10580 5157 10580 5150 10581 5156 10581 5155 10581 5027 10582 5011 10582 5155 10582 5158 10583 5159 10583 5157 10583 5025 10584 5157 10584 5159 10584 5160 10585 5158 10585 5157 10585 5156 10586 5160 10586 5157 10586 5027 10587 5157 10587 5025 10587 5161 10588 5154 10588 5159 10588 5023 10589 5159 10589 5154 10589 5158 10590 5161 10590 5159 10590 5023 10591 5025 10591 5159 10591 5161 10592 5153 10592 5154 10592 5018 10593 5023 10593 5154 10593 5162 10594 5163 10594 5164 10594 5031 10595 5164 10595 5163 10595 5162 10596 5164 10596 5165 10596 5036 10597 5165 10597 5164 10597 5031 10598 5036 10598 5164 10598 5166 10599 5167 10599 5163 10599 5034 10600 5163 10600 5167 10600 5162 10601 5166 10601 5163 10601 5034 10602 5031 10602 5163 10602 5168 10603 5169 10603 5167 10603 5043 10604 5167 10604 5169 10604 5170 10605 5167 10605 5166 10605 5170 10606 5168 10606 5167 10606 5043 10607 5034 10607 5167 10607 5168 10608 5171 10608 5169 10608 5041 10609 5169 10609 5171 10609 5043 10610 5169 10610 5041 10610 5168 10611 5165 10611 5171 10611 5038 10612 5171 10612 5165 10612 5038 10613 5041 10613 5171 10613 5172 10614 5162 10614 5165 10614 5168 10615 5172 10615 5165 10615 5036 10616 5038 10616 5165 10616 5150 10617 5173 10617 5174 10617 5121 10618 5174 10618 5173 10618 5175 10619 5174 10619 5176 10619 5122 10620 5176 10620 5174 10620 5175 10621 5150 10621 5174 10621 5122 10622 5174 10622 5121 10622 5150 10623 5177 10623 5173 10623 5118 10624 5173 10624 5177 10624 5118 10625 5121 10625 5173 10625 5150 10626 5153 10626 5177 10626 5115 10627 5177 10627 5153 10627 5118 10628 5177 10628 5115 10628 5112 10629 5153 10629 5161 10629 5112 10630 5115 10630 5153 10630 5111 10631 5161 10631 5158 10631 5112 10632 5161 10632 5111 10632 5110 10633 5158 10633 5160 10633 5110 10634 5111 10634 5158 10634 5156 10635 5178 10635 5160 10635 5109 10636 5160 10636 5178 10636 5110 10637 5160 10637 5109 10637 5179 10638 5180 10638 5178 10638 5108 10639 5178 10639 5180 10639 5156 10640 5179 10640 5178 10640 5108 10641 5109 10641 5178 10641 5148 10642 5144 10642 5180 10642 5107 10643 5180 10643 5144 10643 5179 10644 5148 10644 5180 10644 5108 10645 5180 10645 5107 10645 5106 10646 5144 10646 5139 10646 5107 10647 5144 10647 5106 10647 5105 10648 5139 10648 5142 10648 5105 10649 5106 10649 5139 10649 5146 10650 5181 10650 5142 10650 5104 10651 5142 10651 5181 10651 5105 10652 5142 10652 5104 10652 5182 10653 5183 10653 5181 10653 5103 10654 5181 10654 5183 10654 5146 10655 5182 10655 5181 10655 5103 10656 5104 10656 5181 10656 5182 10657 5184 10657 5183 10657 5102 10658 5183 10658 5184 10658 5103 10659 5183 10659 5102 10659 5182 10660 5185 10660 5184 10660 5101 10661 5184 10661 5185 10661 5101 10662 5102 10662 5184 10662 5186 10663 5187 10663 5185 10663 5100 10664 5185 10664 5187 10664 5182 10665 5186 10665 5185 10665 5101 10666 5185 10666 5100 10666 5099 10667 5187 10667 5186 10667 5099 10668 5100 10668 5187 10668 5182 10669 5188 10669 5186 10669 5098 10670 5186 10670 5188 10670 5099 10671 5186 10671 5098 10671 5127 10672 5189 10672 5188 10672 5097 10673 5188 10673 5189 10673 5127 10674 5188 10674 5182 10674 5098 10675 5188 10675 5097 10675 5127 10676 5190 10676 5189 10676 5094 10677 5189 10677 5190 10677 5094 10678 5097 10678 5189 10678 5127 10679 5130 10679 5190 10679 5091 10680 5190 10680 5130 10680 5094 10681 5190 10681 5091 10681 5088 10682 5130 10682 5138 10682 5088 10683 5091 10683 5130 10683 5087 10684 5138 10684 5135 10684 5088 10685 5138 10685 5087 10685 5086 10686 5135 10686 5137 10686 5086 10687 5087 10687 5135 10687 5133 10688 5191 10688 5137 10688 5085 10689 5137 10689 5191 10689 5086 10690 5137 10690 5085 10690 5192 10691 5166 10691 5191 10691 5193 10692 5191 10692 5166 10692 5133 10693 5192 10693 5191 10693 5083 10694 5191 10694 5193 10694 5085 10695 5191 10695 5083 10695 5053 10696 5166 10696 5162 10696 5192 10697 5170 10697 5166 10697 5193 10698 5166 10698 5053 10698 5194 10699 5162 10699 5172 10699 5049 10700 5053 10700 5162 10700 5049 10701 5162 10701 5194 10701 5168 10702 5195 10702 5172 10702 5048 10703 5172 10703 5195 10703 5047 10704 5172 10704 5048 10704 5050 10705 5172 10705 5047 10705 5194 10706 5172 10706 5050 10706 5175 10707 5196 10707 5195 10707 5126 10708 5195 10708 5196 10708 5168 10709 5175 10709 5195 10709 5048 10710 5195 10710 5126 10710 5175 10711 5197 10711 5196 10711 5125 10712 5196 10712 5197 10712 5125 10713 5126 10713 5196 10713 5176 10714 5198 10714 5197 10714 5124 10715 5197 10715 5198 10715 5175 10716 5176 10716 5197 10716 5125 10717 5197 10717 5124 10717 5123 10718 5198 10718 5176 10718 5123 10719 5124 10719 5198 10719 5123 10720 5176 10720 5122 10720 5199 10721 5182 10721 5146 10721 5200 10722 5127 10722 5182 10722 5200 10723 5182 10723 5199 10723 5201 10724 5146 10724 5148 10724 5199 10725 5146 10725 5201 10725 5202 10726 5148 10726 5179 10726 5201 10727 5148 10727 5202 10727 5203 10728 5179 10728 5156 10728 5202 10729 5179 10729 5203 10729 5204 10730 5156 10730 5150 10730 5203 10731 5156 10731 5204 10731 5205 10732 5150 10732 5175 10732 5204 10733 5150 10733 5205 10733 5206 10734 5175 10734 5168 10734 5205 10735 5175 10735 5206 10735 5207 10736 5168 10736 5170 10736 5207 10737 5206 10737 5168 10737 5208 10738 5170 10738 5192 10738 5207 10739 5170 10739 5208 10739 5209 10740 5192 10740 5133 10740 5208 10741 5192 10741 5209 10741 5210 10742 5133 10742 5127 10742 5209 10743 5133 10743 5210 10743 5210 10744 5127 10744 5200 10744 5056 10745 5193 10745 5053 10745 5211 10746 5083 10746 5193 10746 5056 10747 5211 10747 5193 10747 5211 10748 5084 10748 5083 10748 5075 10749 5084 10749 5211 10749 5079 10750 5082 10750 5084 10750 5080 10751 5079 10751 5084 10751 5075 10752 5080 10752 5084 10752 5212 10753 5211 10753 5056 10753 5212 10754 5076 10754 5211 10754 5075 10755 5211 10755 5076 10755 5058 10756 5056 10756 5055 10756 5212 10757 5056 10757 5213 10757 5058 10758 5213 10758 5056 10758 5057 10759 5058 10759 5055 10759 5214 10760 5069 10760 5070 10760 5215 10761 5214 10761 5070 10761 5074 10762 5215 10762 5070 10762 5216 10763 5068 10763 5069 10763 5214 10764 5216 10764 5069 10764 5217 10765 5067 10765 5068 10765 5216 10766 5217 10766 5068 10766 5218 10767 5065 10767 5067 10767 5217 10768 5218 10768 5067 10768 5219 10769 5063 10769 5065 10769 5218 10770 5219 10770 5065 10770 5220 10771 5062 10771 5063 10771 5219 10772 5220 10772 5063 10772 5221 10773 5062 10773 5220 10773 5061 10774 5062 10774 5221 10774 5222 10775 5220 10775 5219 10775 5223 10776 5221 10776 5220 10776 5222 10777 5223 10777 5220 10777 5224 10778 5219 10778 5218 10778 5224 10779 5222 10779 5219 10779 5225 10780 5218 10780 5217 10780 5225 10781 5224 10781 5218 10781 5226 10782 5217 10782 5216 10782 5227 10783 5225 10783 5217 10783 5226 10784 5227 10784 5217 10784 5228 10785 5216 10785 5214 10785 5228 10786 5226 10786 5216 10786 5228 10787 5214 10787 5215 10787 5229 10788 5215 10788 5074 10788 5230 10789 5215 10789 5229 10789 5228 10790 5215 10790 5230 10790 5212 10791 5231 10791 5076 10791 5077 10792 5076 10792 5231 10792 5232 10793 5078 10793 5231 10793 5077 10794 5231 10794 5078 10794 5233 10795 5232 10795 5231 10795 5212 10796 5233 10796 5231 10796 5229 10797 5073 10797 5078 10797 5232 10798 5229 10798 5078 10798 5229 10799 5074 10799 5073 10799 5234 10800 5229 10800 5232 10800 5234 10801 5230 10801 5229 10801 5235 10802 5232 10802 5233 10802 5235 10803 5234 10803 5232 10803 5236 10804 5237 10804 5233 10804 5238 10805 5233 10805 5237 10805 5213 10806 5236 10806 5233 10806 5212 10807 5213 10807 5233 10807 5239 10808 5235 10808 5233 10808 5238 10809 5239 10809 5233 10809 5059 10810 5221 10810 5237 10810 5223 10811 5237 10811 5221 10811 5236 10812 5059 10812 5237 10812 5223 10813 5238 10813 5237 10813 5059 10814 5061 10814 5221 10814 5060 10815 5059 10815 5236 10815 5058 10816 5236 10816 5213 10816 5060 10817 5236 10817 5058 10817 5199 10818 5230 10818 5234 10818 5201 10819 5228 10819 5230 10819 5199 10820 5201 10820 5230 10820 5200 10821 5234 10821 5235 10821 5200 10822 5199 10822 5234 10822 5210 10823 5235 10823 5239 10823 5210 10824 5200 10824 5235 10824 5209 10825 5239 10825 5238 10825 5209 10826 5210 10826 5239 10826 5208 10827 5238 10827 5223 10827 5208 10828 5209 10828 5238 10828 5207 10829 5223 10829 5222 10829 5207 10830 5208 10830 5223 10830 5206 10831 5222 10831 5224 10831 5207 10832 5222 10832 5206 10832 5205 10833 5224 10833 5225 10833 5205 10834 5206 10834 5224 10834 5204 10835 5225 10835 5227 10835 5204 10836 5205 10836 5225 10836 5203 10837 5227 10837 5226 10837 5203 10838 5204 10838 5227 10838 5202 10839 5226 10839 5228 10839 5202 10840 5203 10840 5226 10840 5201 10841 5202 10841 5228 10841 5194 10842 5050 10842 5051 10842 5049 10843 5194 10843 5051 10843 5240 10844 5241 10844 5242 10844 5243 10845 5242 10845 5241 10845 5244 10846 5242 10846 5245 10846 5246 10847 5245 10847 5242 10847 5244 10848 5240 10848 5242 10848 5243 10849 5246 10849 5242 10849 5247 10850 5248 10850 5241 10850 5249 10851 5241 10851 5248 10851 5240 10852 5247 10852 5241 10852 5249 10853 5243 10853 5241 10853 5250 10854 5251 10854 5248 10854 5252 10855 5248 10855 5251 10855 5253 10856 5248 10856 5247 10856 5253 10857 5250 10857 5248 10857 5249 10858 5248 10858 5252 10858 5254 10859 5255 10859 5251 10859 5256 10860 5251 10860 5255 10860 5250 10861 5257 10861 5251 10861 5254 10862 5251 10862 5257 10862 5252 10863 5251 10863 5256 10863 5254 10864 5258 10864 5255 10864 5259 10865 5255 10865 5258 10865 5256 10866 5255 10866 5259 10866 5254 10867 5260 10867 5258 10867 5261 10868 5258 10868 5260 10868 5261 10869 5259 10869 5258 10869 5262 10870 5245 10870 5260 10870 5263 10871 5260 10871 5245 10871 5264 10872 5262 10872 5260 10872 5254 10873 5264 10873 5260 10873 5263 10874 5261 10874 5260 10874 5262 10875 5244 10875 5245 10875 5246 10876 5263 10876 5245 10876 5253 10877 5265 10877 5266 10877 5267 10878 5266 10878 5265 10878 5268 10879 5266 10879 5269 10879 5270 10880 5269 10880 5266 10880 5268 10881 5253 10881 5266 10881 5267 10882 5270 10882 5266 10882 5253 10883 5247 10883 5265 10883 5271 10884 5265 10884 5247 10884 5271 10885 5267 10885 5265 10885 5272 10886 5247 10886 5240 10886 5271 10887 5247 10887 5272 10887 5273 10888 5240 10888 5244 10888 5272 10889 5240 10889 5273 10889 5274 10890 5244 10890 5262 10890 5273 10891 5244 10891 5274 10891 5275 10892 5262 10892 5264 10892 5275 10893 5274 10893 5262 10893 5268 10894 5269 10894 5264 10894 5276 10895 5264 10895 5269 10895 5268 10896 5264 10896 5254 10896 5276 10897 5275 10897 5264 10897 5270 10898 5276 10898 5269 10898 5277 10899 5278 10899 5279 10899 5280 10900 5279 10900 5278 10900 5281 10901 5279 10901 5282 10901 5283 10902 5282 10902 5279 10902 5281 10903 5277 10903 5279 10903 5280 10904 5283 10904 5279 10904 5284 10905 5285 10905 5278 10905 5286 10906 5278 10906 5285 10906 5277 10907 5284 10907 5278 10907 5286 10908 5280 10908 5278 10908 5287 10909 5288 10909 5285 10909 5289 10910 5285 10910 5288 10910 5290 10911 5285 10911 5284 10911 5290 10912 5287 10912 5285 10912 5286 10913 5285 10913 5289 10913 5287 10914 5291 10914 5288 10914 5292 10915 5288 10915 5291 10915 5289 10916 5288 10916 5292 10916 5254 10917 5293 10917 5291 10917 5294 10918 5291 10918 5293 10918 5287 10919 5254 10919 5291 10919 5292 10920 5291 10920 5294 10920 5254 10921 5257 10921 5293 10921 5295 10922 5293 10922 5257 10922 5295 10923 5294 10923 5293 10923 5296 10924 5282 10924 5257 10924 5297 10925 5257 10925 5282 10925 5250 10926 5296 10926 5257 10926 5297 10927 5295 10927 5257 10927 5296 10928 5281 10928 5282 10928 5283 10929 5297 10929 5282 10929 5253 10930 5298 10930 5299 10930 5300 10931 5299 10931 5298 10931 5253 10932 5299 10932 5301 10932 5302 10933 5301 10933 5299 10933 5300 10934 5302 10934 5299 10934 5290 10935 5284 10935 5298 10935 5303 10936 5298 10936 5284 10936 5253 10937 5290 10937 5298 10937 5303 10938 5300 10938 5298 10938 5304 10939 5284 10939 5277 10939 5303 10940 5284 10940 5304 10940 5305 10941 5277 10941 5281 10941 5304 10942 5277 10942 5305 10942 5306 10943 5281 10943 5296 10943 5305 10944 5281 10944 5306 10944 5307 10945 5296 10945 5250 10945 5307 10946 5306 10946 5296 10946 5253 10947 5301 10947 5250 10947 5308 10948 5250 10948 5301 10948 5308 10949 5307 10949 5250 10949 5302 10950 5308 10950 5301 10950 5309 10951 5310 10951 5311 10951 5312 10952 5311 10952 5310 10952 5309 10953 5311 10953 5313 10953 5314 10954 5313 10954 5311 10954 5314 10955 5311 10955 5312 10955 5309 10956 5315 10956 5310 10956 5316 10957 5310 10957 5315 10957 5316 10958 5312 10958 5310 10958 5317 10959 5318 10959 5315 10959 5319 10960 5315 10960 5318 10960 5320 10961 5317 10961 5315 10961 5321 10962 5320 10962 5315 10962 5309 10963 5321 10963 5315 10963 5316 10964 5315 10964 5319 10964 5322 10965 5323 10965 5318 10965 5324 10966 5318 10966 5323 10966 5317 10967 5322 10967 5318 10967 5319 10968 5318 10968 5324 10968 5325 10969 5326 10969 5323 10969 5327 10970 5323 10970 5326 10970 5325 10971 5323 10971 5322 10971 5324 10972 5323 10972 5327 10972 5328 10973 5329 10973 5326 10973 5330 10974 5326 10974 5329 10974 5325 10975 5328 10975 5326 10975 5327 10976 5326 10976 5330 10976 5290 10977 5313 10977 5329 10977 5331 10978 5329 10978 5313 10978 5332 10979 5329 10979 5328 10979 5290 10980 5329 10980 5332 10980 5330 10981 5329 10981 5331 10981 5290 10982 5309 10982 5313 10982 5331 10983 5313 10983 5314 10983 5333 10984 5322 10984 5317 10984 5334 10985 5325 10985 5322 10985 5334 10986 5322 10986 5333 10986 5335 10987 5317 10987 5320 10987 5335 10988 5333 10988 5317 10988 5336 10989 5337 10989 5320 10989 5338 10990 5320 10990 5337 10990 5339 10991 5336 10991 5320 10991 5321 10992 5339 10992 5320 10992 5335 10993 5320 10993 5338 10993 5332 10994 5340 10994 5337 10994 5341 10995 5337 10995 5340 10995 5336 10996 5332 10996 5337 10996 5338 10997 5337 10997 5341 10997 5332 10998 5342 10998 5340 10998 5343 10999 5340 10999 5342 10999 5341 11000 5340 11000 5343 11000 5332 11001 5328 11001 5342 11001 5344 11002 5342 11002 5328 11002 5343 11003 5342 11003 5344 11003 5345 11004 5328 11004 5325 11004 5344 11005 5328 11005 5345 11005 5345 11006 5325 11006 5334 11006 5346 11007 5347 11007 5348 11007 5349 11008 5348 11008 5347 11008 5346 11009 5348 11009 5350 11009 5351 11010 5350 11010 5348 11010 5351 11011 5348 11011 5349 11011 5346 11012 5352 11012 5347 11012 5353 11013 5347 11013 5352 11013 5353 11014 5349 11014 5347 11014 5354 11015 5355 11015 5352 11015 5356 11016 5352 11016 5355 11016 5357 11017 5354 11017 5352 11017 5346 11018 5357 11018 5352 11018 5353 11019 5352 11019 5356 11019 5358 11020 5359 11020 5355 11020 5360 11021 5355 11021 5359 11021 5354 11022 5358 11022 5355 11022 5356 11023 5355 11023 5360 11023 5361 11024 5362 11024 5359 11024 5363 11025 5359 11025 5362 11025 5361 11026 5359 11026 5358 11026 5360 11027 5359 11027 5363 11027 5364 11028 5365 11028 5362 11028 5366 11029 5362 11029 5365 11029 5361 11030 5364 11030 5362 11030 5363 11031 5362 11031 5366 11031 5367 11032 5350 11032 5365 11032 5368 11033 5365 11033 5350 11033 5369 11034 5365 11034 5364 11034 5370 11035 5365 11035 5369 11035 5370 11036 5367 11036 5365 11036 5366 11037 5365 11037 5368 11037 5367 11038 5346 11038 5350 11038 5368 11039 5350 11039 5351 11039 5371 11040 5358 11040 5354 11040 5372 11041 5361 11041 5358 11041 5372 11042 5358 11042 5371 11042 5373 11043 5354 11043 5357 11043 5373 11044 5371 11044 5354 11044 5374 11045 5375 11045 5357 11045 5376 11046 5357 11046 5375 11046 5346 11047 5374 11047 5357 11047 5373 11048 5357 11048 5376 11048 5377 11049 5378 11049 5375 11049 5379 11050 5375 11050 5378 11050 5374 11051 5377 11051 5375 11051 5376 11052 5375 11052 5379 11052 5377 11053 5380 11053 5378 11053 5381 11054 5378 11054 5380 11054 5379 11055 5378 11055 5381 11055 5377 11056 5364 11056 5380 11056 5382 11057 5380 11057 5364 11057 5381 11058 5380 11058 5382 11058 5383 11059 5364 11059 5361 11059 5377 11060 5369 11060 5364 11060 5382 11061 5364 11061 5383 11061 5383 11062 5361 11062 5372 11062 5384 11063 5369 11063 5377 11063 5384 11064 5370 11064 5369 11064 5385 11065 5377 11065 5374 11065 5386 11066 5377 11066 5385 11066 5384 11067 5377 11067 5386 11067 5268 11068 5254 11068 5374 11068 5387 11069 5374 11069 5254 11069 5346 11070 5268 11070 5374 11070 5385 11071 5374 11071 5387 11071 5388 11072 5254 11072 5287 11072 5387 11073 5254 11073 5389 11073 5388 11074 5389 11074 5254 11074 5290 11075 5332 11075 5287 11075 5388 11076 5287 11076 5332 11076 5390 11077 5332 11077 5336 11077 5391 11078 5388 11078 5332 11078 5391 11079 5332 11079 5390 11079 5392 11080 5336 11080 5339 11080 5390 11081 5336 11081 5392 11081 5393 11082 5339 11082 5321 11082 5392 11083 5339 11083 5394 11083 5393 11084 5394 11084 5339 11084 5393 11085 5321 11085 5309 11085 5395 11086 5309 11086 5290 11086 5396 11087 5393 11087 5309 11087 5396 11088 5309 11088 5395 11088 5397 11089 5290 11089 5253 11089 5395 11090 5290 11090 5397 11090 5398 11091 5253 11091 5268 11091 5397 11092 5253 11092 5399 11092 5398 11093 5399 11093 5253 11093 5398 11094 5268 11094 5346 11094 5400 11095 5346 11095 5367 11095 5401 11096 5398 11096 5346 11096 5401 11097 5346 11097 5400 11097 5402 11098 5367 11098 5370 11098 5400 11099 5367 11099 5402 11099 5403 11100 5370 11100 5384 11100 5402 11101 5370 11101 5403 11101 5404 11102 5405 11102 5406 11102 5407 11103 5406 11103 5405 11103 5408 11104 5406 11104 5409 11104 5410 11105 5409 11105 5406 11105 5408 11106 5404 11106 5406 11106 5410 11107 5406 11107 5407 11107 5411 11108 5412 11108 5405 11108 5413 11109 5405 11109 5412 11109 5411 11110 5405 11110 5404 11110 5413 11111 5407 11111 5405 11111 5414 11112 5415 11112 5412 11112 5416 11113 5412 11113 5415 11113 5414 11114 5412 11114 5411 11114 5413 11115 5412 11115 5416 11115 5417 11116 5418 11116 5415 11116 5419 11117 5415 11117 5418 11117 5414 11118 5417 11118 5415 11118 5416 11119 5415 11119 5419 11119 5417 11120 5409 11120 5418 11120 5420 11121 5418 11121 5409 11121 5419 11122 5418 11122 5420 11122 5421 11123 5408 11123 5409 11123 5417 11124 5421 11124 5409 11124 5420 11125 5409 11125 5410 11125 5411 11126 5422 11126 5423 11126 5424 11127 5423 11127 5422 11127 5425 11128 5423 11128 5426 11128 5427 11129 5426 11129 5423 11129 5411 11130 5423 11130 5425 11130 5427 11131 5423 11131 5424 11131 5411 11132 5404 11132 5422 11132 5428 11133 5422 11133 5404 11133 5428 11134 5424 11134 5422 11134 5429 11135 5404 11135 5408 11135 5428 11136 5404 11136 5429 11136 5430 11137 5408 11137 5421 11137 5429 11138 5408 11138 5430 11138 5431 11139 5426 11139 5421 11139 5432 11140 5421 11140 5426 11140 5417 11141 5431 11141 5421 11141 5430 11142 5421 11142 5432 11142 5431 11143 5433 11143 5426 11143 5425 11144 5426 11144 5433 11144 5432 11145 5426 11145 5427 11145 5425 11146 5433 11146 5434 11146 5435 11147 5434 11147 5433 11147 5436 11148 5434 11148 5437 11148 5438 11149 5437 11149 5434 11149 5436 11150 5425 11150 5434 11150 5438 11151 5434 11151 5435 11151 5439 11152 5433 11152 5431 11152 5439 11153 5435 11153 5433 11153 5417 11154 5440 11154 5431 11154 5441 11155 5431 11155 5440 11155 5439 11156 5431 11156 5441 11156 5417 11157 5442 11157 5440 11157 5443 11158 5440 11158 5442 11158 5441 11159 5440 11159 5443 11159 5444 11160 5437 11160 5442 11160 5445 11161 5442 11161 5437 11161 5417 11162 5444 11162 5442 11162 5443 11163 5442 11163 5445 11163 5446 11164 5436 11164 5437 11164 5444 11165 5446 11165 5437 11165 5445 11166 5437 11166 5438 11166 5411 11167 5447 11167 5448 11167 5449 11168 5448 11168 5447 11168 5450 11169 5448 11169 5451 11169 5452 11170 5451 11170 5448 11170 5450 11171 5411 11171 5448 11171 5452 11172 5448 11172 5449 11172 5411 11173 5425 11173 5447 11173 5453 11174 5447 11174 5425 11174 5453 11175 5449 11175 5447 11175 5454 11176 5425 11176 5436 11176 5453 11177 5425 11177 5454 11177 5455 11178 5436 11178 5446 11178 5454 11179 5436 11179 5455 11179 5444 11180 5451 11180 5446 11180 5456 11181 5446 11181 5451 11181 5455 11182 5446 11182 5456 11182 5457 11183 5450 11183 5451 11183 5444 11184 5457 11184 5451 11184 5456 11185 5451 11185 5452 11185 5457 11186 5314 11186 5312 11186 5457 11187 5312 11187 5316 11187 5457 11188 5331 11188 5314 11188 5334 11189 5330 11189 5331 11189 5345 11190 5334 11190 5331 11190 5457 11191 5345 11191 5331 11191 5333 11192 5327 11192 5330 11192 5334 11193 5333 11193 5330 11193 5335 11194 5324 11194 5327 11194 5335 11195 5327 11195 5333 11195 5338 11196 5319 11196 5324 11196 5335 11197 5338 11197 5324 11197 5458 11198 5316 11198 5319 11198 5459 11199 5319 11199 5338 11199 5460 11200 5458 11200 5319 11200 5459 11201 5460 11201 5319 11201 5458 11202 5457 11202 5316 11202 5444 11203 5344 11203 5345 11203 5444 11204 5345 11204 5457 11204 5461 11205 5343 11205 5344 11205 5444 11206 5461 11206 5344 11206 5461 11207 5341 11207 5343 11207 5461 11208 5338 11208 5341 11208 5461 11209 5459 11209 5338 11209 5462 11210 5351 11210 5349 11210 5462 11211 5349 11211 5353 11211 5462 11212 5368 11212 5351 11212 5372 11213 5366 11213 5368 11213 5383 11214 5372 11214 5368 11214 5463 11215 5383 11215 5368 11215 5462 11216 5463 11216 5368 11216 5371 11217 5363 11217 5366 11217 5372 11218 5371 11218 5366 11218 5373 11219 5360 11219 5363 11219 5373 11220 5363 11220 5371 11220 5376 11221 5356 11221 5360 11221 5373 11222 5376 11222 5360 11222 5464 11223 5353 11223 5356 11223 5465 11224 5356 11224 5376 11224 5464 11225 5356 11225 5465 11225 5464 11226 5462 11226 5353 11226 5466 11227 5382 11227 5383 11227 5467 11228 5466 11228 5383 11228 5463 11229 5467 11229 5383 11229 5465 11230 5381 11230 5382 11230 5466 11231 5465 11231 5382 11231 5465 11232 5379 11232 5381 11232 5465 11233 5376 11233 5379 11233 5468 11234 5411 11234 5450 11234 5464 11235 5414 11235 5411 11235 5469 11236 5464 11236 5411 11236 5470 11237 5469 11237 5411 11237 5468 11238 5470 11238 5411 11238 5468 11239 5450 11239 5457 11239 5471 11240 5457 11240 5458 11240 5472 11241 5468 11241 5457 11241 5471 11242 5472 11242 5457 11242 5473 11243 5458 11243 5460 11243 5473 11244 5471 11244 5458 11244 5474 11245 5460 11245 5459 11245 5475 11246 5460 11246 5474 11246 5473 11247 5460 11247 5475 11247 5474 11248 5459 11248 5461 11248 5476 11249 5461 11249 5444 11249 5477 11250 5474 11250 5461 11250 5476 11251 5477 11251 5461 11251 5478 11252 5444 11252 5417 11252 5478 11253 5476 11253 5444 11253 5479 11254 5417 11254 5414 11254 5480 11255 5417 11255 5479 11255 5478 11256 5417 11256 5480 11256 5464 11257 5465 11257 5414 11257 5479 11258 5414 11258 5465 11258 5481 11259 5465 11259 5466 11259 5482 11260 5479 11260 5465 11260 5481 11261 5482 11261 5465 11261 5483 11262 5466 11262 5467 11262 5483 11263 5481 11263 5466 11263 5484 11264 5467 11264 5463 11264 5485 11265 5467 11265 5484 11265 5483 11266 5467 11266 5485 11266 5484 11267 5463 11267 5462 11267 5486 11268 5462 11268 5464 11268 5487 11269 5484 11269 5462 11269 5486 11270 5487 11270 5462 11270 5469 11271 5486 11271 5464 11271 5419 11272 5259 11272 5261 11272 5419 11273 5420 11273 5259 11273 5256 11274 5259 11274 5420 11274 5413 11275 5261 11275 5263 11275 5413 11276 5419 11276 5261 11276 5413 11277 5263 11277 5246 11277 5413 11278 5246 11278 5243 11278 5413 11279 5243 11279 5407 11279 5249 11280 5407 11280 5243 11280 5420 11281 5410 11281 5407 11281 5249 11282 5420 11282 5407 11282 5252 11283 5256 11283 5420 11283 5249 11284 5252 11284 5420 11284 5413 11285 5416 11285 5419 11285 5430 11286 5274 11286 5275 11286 5430 11287 5432 11287 5274 11287 5273 11288 5274 11288 5432 11288 5428 11289 5275 11289 5276 11289 5428 11290 5430 11290 5275 11290 5428 11291 5276 11291 5270 11291 5428 11292 5270 11292 5267 11292 5428 11293 5267 11293 5424 11293 5271 11294 5424 11294 5267 11294 5432 11295 5427 11295 5424 11295 5271 11296 5432 11296 5424 11296 5272 11297 5273 11297 5432 11297 5271 11298 5272 11298 5432 11298 5428 11299 5429 11299 5430 11299 5443 11300 5294 11300 5295 11300 5443 11301 5445 11301 5294 11301 5292 11302 5294 11302 5445 11302 5439 11303 5295 11303 5297 11303 5439 11304 5443 11304 5295 11304 5439 11305 5297 11305 5283 11305 5439 11306 5283 11306 5280 11306 5439 11307 5280 11307 5435 11307 5286 11308 5435 11308 5280 11308 5445 11309 5438 11309 5435 11309 5286 11310 5445 11310 5435 11310 5289 11311 5292 11311 5445 11311 5286 11312 5289 11312 5445 11312 5439 11313 5441 11313 5443 11313 5455 11314 5306 11314 5307 11314 5455 11315 5456 11315 5306 11315 5305 11316 5306 11316 5456 11316 5453 11317 5307 11317 5308 11317 5453 11318 5455 11318 5307 11318 5453 11319 5308 11319 5302 11319 5453 11320 5302 11320 5300 11320 5453 11321 5300 11321 5449 11321 5303 11322 5449 11322 5300 11322 5456 11323 5452 11323 5449 11323 5303 11324 5456 11324 5449 11324 5304 11325 5305 11325 5456 11325 5303 11326 5304 11326 5456 11326 5453 11327 5454 11327 5455 11327 5488 11328 5489 11328 5490 11328 5470 11329 5490 11329 5489 11329 5491 11330 5488 11330 5490 11330 5492 11331 5491 11331 5490 11331 5472 11332 5492 11332 5490 11332 5468 11333 5490 11333 5470 11333 5472 11334 5490 11334 5468 11334 5493 11335 5489 11335 5488 11335 5493 11336 5494 11336 5489 11336 5470 11337 5489 11337 5494 11337 5399 11338 5488 11338 5491 11338 5401 11339 5493 11339 5488 11339 5398 11340 5488 11340 5399 11340 5401 11341 5488 11341 5398 11341 5495 11342 5491 11342 5492 11342 5399 11343 5491 11343 5495 11343 5496 11344 5497 11344 5498 11344 5480 11345 5498 11345 5497 11345 5499 11346 5496 11346 5498 11346 5500 11347 5499 11347 5498 11347 5482 11348 5500 11348 5498 11348 5482 11349 5498 11349 5479 11349 5480 11350 5479 11350 5498 11350 5501 11351 5497 11351 5496 11351 5501 11352 5502 11352 5497 11352 5480 11353 5497 11353 5502 11353 5389 11354 5496 11354 5499 11354 5391 11355 5501 11355 5496 11355 5388 11356 5496 11356 5389 11356 5391 11357 5496 11357 5388 11357 5503 11358 5499 11358 5500 11358 5389 11359 5499 11359 5503 11359 5504 11360 5505 11360 5506 11360 5475 11361 5506 11361 5505 11361 5507 11362 5504 11362 5506 11362 5508 11363 5507 11363 5506 11363 5477 11364 5508 11364 5506 11364 5477 11365 5506 11365 5474 11365 5475 11366 5474 11366 5506 11366 5509 11367 5505 11367 5504 11367 5509 11368 5510 11368 5505 11368 5475 11369 5505 11369 5510 11369 5394 11370 5504 11370 5507 11370 5396 11371 5509 11371 5504 11371 5393 11372 5504 11372 5394 11372 5396 11373 5504 11373 5393 11373 5511 11374 5507 11374 5508 11374 5394 11375 5507 11375 5511 11375 5512 11376 5513 11376 5514 11376 5485 11377 5514 11377 5513 11377 5515 11378 5512 11378 5514 11378 5516 11379 5515 11379 5514 11379 5487 11380 5516 11380 5514 11380 5487 11381 5514 11381 5484 11381 5485 11382 5484 11382 5514 11382 5517 11383 5513 11383 5512 11383 5517 11384 5518 11384 5513 11384 5485 11385 5513 11385 5518 11385 5403 11386 5512 11386 5515 11386 5386 11387 5517 11387 5512 11387 5384 11388 5386 11388 5512 11388 5403 11389 5384 11389 5512 11389 5519 11390 5515 11390 5516 11390 5403 11391 5515 11391 5519 11391 5495 11392 5492 11392 5510 11392 5471 11393 5510 11393 5492 11393 5509 11394 5495 11394 5510 11394 5473 11395 5475 11395 5510 11395 5473 11396 5510 11396 5471 11396 5471 11397 5492 11397 5472 11397 5395 11398 5495 11398 5509 11398 5397 11399 5399 11399 5495 11399 5395 11400 5397 11400 5495 11400 5396 11401 5395 11401 5509 11401 5519 11402 5516 11402 5494 11402 5486 11403 5494 11403 5516 11403 5493 11404 5519 11404 5494 11404 5469 11405 5494 11405 5486 11405 5470 11406 5494 11406 5469 11406 5486 11407 5516 11407 5487 11407 5400 11408 5519 11408 5493 11408 5402 11409 5403 11409 5519 11409 5400 11410 5402 11410 5519 11410 5401 11411 5400 11411 5493 11411 5503 11412 5500 11412 5518 11412 5481 11413 5518 11413 5500 11413 5517 11414 5503 11414 5518 11414 5483 11415 5485 11415 5518 11415 5483 11416 5518 11416 5481 11416 5481 11417 5500 11417 5482 11417 5385 11418 5503 11418 5517 11418 5387 11419 5389 11419 5503 11419 5385 11420 5387 11420 5503 11420 5386 11421 5385 11421 5517 11421 5511 11422 5508 11422 5502 11422 5476 11423 5502 11423 5508 11423 5501 11424 5511 11424 5502 11424 5478 11425 5480 11425 5502 11425 5478 11426 5502 11426 5476 11426 5476 11427 5508 11427 5477 11427 5390 11428 5511 11428 5501 11428 5392 11429 5394 11429 5511 11429 5390 11430 5392 11430 5511 11430 5391 11431 5390 11431 5501 11431 5520 11432 5521 11432 5522 11432 5523 11433 5522 11433 5521 11433 5524 11434 5522 11434 5525 11434 5526 11435 5525 11435 5522 11435 5520 11436 5522 11436 5524 11436 5523 11437 5526 11437 5522 11437 5527 11438 5528 11438 5521 11438 5529 11439 5521 11439 5528 11439 5530 11440 5527 11440 5521 11440 5520 11441 5530 11441 5521 11441 5529 11442 5523 11442 5521 11442 5531 11443 5525 11443 5528 11443 5532 11444 5528 11444 5525 11444 5527 11445 5531 11445 5528 11445 5529 11446 5528 11446 5532 11446 5533 11447 5524 11447 5525 11447 5531 11448 5533 11448 5525 11448 5526 11449 5532 11449 5525 11449 5534 11450 5524 11450 5533 11450 5535 11451 5520 11451 5524 11451 5534 11452 5535 11452 5524 11452 5536 11453 5533 11453 5531 11453 5537 11454 5533 11454 5536 11454 5534 11455 5533 11455 5537 11455 5538 11456 5531 11456 5527 11456 5536 11457 5531 11457 5538 11457 5539 11458 5527 11458 5530 11458 5539 11459 5538 11459 5527 11459 5540 11460 5530 11460 5520 11460 5540 11461 5541 11461 5530 11461 5539 11462 5530 11462 5541 11462 5540 11463 5520 11463 5535 11463 5542 11464 5532 11464 5526 11464 5542 11465 5543 11465 5532 11465 5529 11466 5532 11466 5543 11466 5544 11467 5526 11467 5523 11467 5544 11468 5542 11468 5526 11468 5544 11469 5523 11469 5545 11469 5529 11470 5545 11470 5523 11470 5529 11471 5543 11471 5545 11471 5546 11472 5545 11472 5543 11472 5547 11473 5544 11473 5545 11473 5546 11474 5547 11474 5545 11474 5548 11475 5543 11475 5542 11475 5548 11476 5546 11476 5543 11476 5549 11477 5542 11477 5544 11477 5548 11478 5542 11478 5549 11478 5547 11479 5549 11479 5544 11479 5546 11480 5549 11480 5547 11480 5548 11481 5549 11481 5546 11481 5550 11482 5551 11482 5552 11482 5553 11483 5552 11483 5551 11483 5554 11484 5552 11484 5555 11484 5556 11485 5555 11485 5552 11485 5554 11486 5550 11486 5552 11486 5556 11487 5552 11487 5553 11487 5557 11488 5558 11488 5551 11488 5559 11489 5551 11489 5558 11489 5557 11490 5551 11490 5550 11490 5559 11491 5553 11491 5551 11491 5560 11492 5561 11492 5558 11492 5562 11493 5558 11493 5561 11493 5557 11494 5560 11494 5558 11494 5559 11495 5558 11495 5562 11495 5563 11496 5564 11496 5561 11496 5565 11497 5561 11497 5564 11497 5560 11498 5563 11498 5561 11498 5562 11499 5561 11499 5565 11499 5566 11500 5555 11500 5564 11500 5567 11501 5564 11501 5555 11501 5563 11502 5566 11502 5564 11502 5565 11503 5564 11503 5567 11503 5566 11504 5554 11504 5555 11504 5567 11505 5555 11505 5556 11505 5568 11506 5550 11506 5554 11506 5569 11507 5557 11507 5550 11507 5568 11508 5569 11508 5550 11508 5570 11509 5554 11509 5566 11509 5568 11510 5554 11510 5570 11510 5571 11511 5566 11511 5563 11511 5570 11512 5566 11512 5571 11512 5572 11513 5563 11513 5560 11513 5571 11514 5563 11514 5572 11514 5573 11515 5560 11515 5557 11515 5572 11516 5560 11516 5573 11516 5573 11517 5557 11517 5569 11517 5536 11518 5556 11518 5553 11518 5537 11519 5536 11519 5553 11519 5559 11520 5537 11520 5553 11520 5538 11521 5567 11521 5556 11521 5536 11522 5538 11522 5556 11522 5541 11523 5565 11523 5567 11523 5538 11524 5541 11524 5567 11524 5540 11525 5565 11525 5541 11525 5562 11526 5565 11526 5540 11526 5539 11527 5541 11527 5538 11527 5559 11528 5535 11528 5537 11528 5534 11529 5537 11529 5535 11529 5562 11530 5540 11530 5535 11530 5559 11531 5562 11531 5535 11531 5572 11532 5573 11532 5569 11532 5568 11533 5572 11533 5569 11533 5568 11534 5571 11534 5572 11534 5568 11535 5570 11535 5571 11535 5574 11536 5575 11536 5576 11536 5577 11537 5576 11537 5575 11537 5578 11538 5576 11538 5579 11538 5580 11539 5579 11539 5576 11539 5574 11540 5576 11540 5578 11540 5577 11541 5580 11541 5576 11541 5581 11542 5582 11542 5575 11542 5583 11543 5575 11543 5582 11543 5584 11544 5581 11544 5575 11544 5574 11545 5584 11545 5575 11545 5583 11546 5577 11546 5575 11546 5585 11547 5579 11547 5582 11547 5586 11548 5582 11548 5579 11548 5581 11549 5585 11549 5582 11549 5583 11550 5582 11550 5586 11550 5587 11551 5578 11551 5579 11551 5585 11552 5587 11552 5579 11552 5580 11553 5586 11553 5579 11553 5588 11554 5578 11554 5587 11554 5589 11555 5574 11555 5578 11555 5588 11556 5589 11556 5578 11556 5590 11557 5587 11557 5585 11557 5591 11558 5587 11558 5590 11558 5588 11559 5587 11559 5591 11559 5592 11560 5585 11560 5581 11560 5590 11561 5585 11561 5592 11561 5593 11562 5581 11562 5584 11562 5593 11563 5592 11563 5581 11563 5594 11564 5584 11564 5574 11564 5594 11565 5595 11565 5584 11565 5593 11566 5584 11566 5595 11566 5594 11567 5574 11567 5589 11567 5596 11568 5586 11568 5580 11568 5596 11569 5597 11569 5586 11569 5583 11570 5586 11570 5597 11570 5598 11571 5580 11571 5577 11571 5598 11572 5596 11572 5580 11572 5598 11573 5577 11573 5599 11573 5583 11574 5599 11574 5577 11574 5583 11575 5597 11575 5599 11575 5600 11576 5599 11576 5597 11576 5601 11577 5598 11577 5599 11577 5600 11578 5601 11578 5599 11578 5602 11579 5597 11579 5596 11579 5602 11580 5600 11580 5597 11580 5603 11581 5596 11581 5598 11581 5602 11582 5596 11582 5603 11582 5601 11583 5603 11583 5598 11583 5600 11584 5603 11584 5601 11584 5602 11585 5603 11585 5600 11585 5604 11586 5605 11586 5606 11586 5607 11587 5606 11587 5605 11587 5608 11588 5606 11588 5609 11588 5610 11589 5609 11589 5606 11589 5608 11590 5604 11590 5606 11590 5610 11591 5606 11591 5607 11591 5611 11592 5612 11592 5605 11592 5613 11593 5605 11593 5612 11593 5611 11594 5605 11594 5604 11594 5613 11595 5607 11595 5605 11595 5614 11596 5615 11596 5612 11596 5616 11597 5612 11597 5615 11597 5611 11598 5614 11598 5612 11598 5613 11599 5612 11599 5616 11599 5617 11600 5618 11600 5615 11600 5619 11601 5615 11601 5618 11601 5614 11602 5617 11602 5615 11602 5616 11603 5615 11603 5619 11603 5620 11604 5609 11604 5618 11604 5621 11605 5618 11605 5609 11605 5617 11606 5620 11606 5618 11606 5619 11607 5618 11607 5621 11607 5620 11608 5608 11608 5609 11608 5621 11609 5609 11609 5610 11609 5622 11610 5604 11610 5608 11610 5623 11611 5611 11611 5604 11611 5622 11612 5623 11612 5604 11612 5624 11613 5608 11613 5620 11613 5622 11614 5608 11614 5624 11614 5625 11615 5620 11615 5617 11615 5624 11616 5620 11616 5625 11616 5626 11617 5617 11617 5614 11617 5625 11618 5617 11618 5626 11618 5627 11619 5614 11619 5611 11619 5626 11620 5614 11620 5627 11620 5627 11621 5611 11621 5623 11621 5590 11622 5610 11622 5607 11622 5591 11623 5590 11623 5607 11623 5613 11624 5591 11624 5607 11624 5592 11625 5621 11625 5610 11625 5590 11626 5592 11626 5610 11626 5595 11627 5619 11627 5621 11627 5592 11628 5595 11628 5621 11628 5594 11629 5619 11629 5595 11629 5616 11630 5619 11630 5594 11630 5593 11631 5595 11631 5592 11631 5613 11632 5589 11632 5591 11632 5588 11633 5591 11633 5589 11633 5616 11634 5594 11634 5589 11634 5613 11635 5616 11635 5589 11635 5626 11636 5627 11636 5623 11636 5622 11637 5626 11637 5623 11637 5622 11638 5625 11638 5626 11638 5622 11639 5624 11639 5625 11639 5628 11640 5629 11640 5630 11640 5631 11641 5630 11641 5629 11641 5632 11642 5630 11642 5633 11642 5634 11643 5633 11643 5630 11643 5628 11644 5630 11644 5632 11644 5631 11645 5634 11645 5630 11645 5635 11646 5636 11646 5629 11646 5637 11647 5629 11647 5636 11647 5638 11648 5635 11648 5629 11648 5628 11649 5638 11649 5629 11649 5637 11650 5631 11650 5629 11650 5639 11651 5633 11651 5636 11651 5640 11652 5636 11652 5633 11652 5635 11653 5639 11653 5636 11653 5637 11654 5636 11654 5640 11654 5641 11655 5632 11655 5633 11655 5639 11656 5641 11656 5633 11656 5634 11657 5640 11657 5633 11657 5642 11658 5632 11658 5641 11658 5643 11659 5628 11659 5632 11659 5642 11660 5643 11660 5632 11660 5644 11661 5641 11661 5639 11661 5645 11662 5641 11662 5644 11662 5642 11663 5641 11663 5645 11663 5646 11664 5639 11664 5635 11664 5644 11665 5639 11665 5646 11665 5647 11666 5635 11666 5638 11666 5647 11667 5646 11667 5635 11667 5648 11668 5638 11668 5628 11668 5648 11669 5649 11669 5638 11669 5647 11670 5638 11670 5649 11670 5648 11671 5628 11671 5643 11671 5650 11672 5640 11672 5634 11672 5650 11673 5651 11673 5640 11673 5637 11674 5640 11674 5651 11674 5652 11675 5634 11675 5631 11675 5652 11676 5650 11676 5634 11676 5652 11677 5631 11677 5653 11677 5637 11678 5653 11678 5631 11678 5637 11679 5651 11679 5653 11679 5654 11680 5653 11680 5651 11680 5655 11681 5652 11681 5653 11681 5654 11682 5655 11682 5653 11682 5656 11683 5651 11683 5650 11683 5656 11684 5654 11684 5651 11684 5657 11685 5650 11685 5652 11685 5656 11686 5650 11686 5657 11686 5655 11687 5657 11687 5652 11687 5654 11688 5657 11688 5655 11688 5656 11689 5657 11689 5654 11689 5658 11690 5659 11690 5660 11690 5661 11691 5660 11691 5659 11691 5662 11692 5660 11692 5663 11692 5664 11693 5663 11693 5660 11693 5662 11694 5658 11694 5660 11694 5664 11695 5660 11695 5661 11695 5665 11696 5666 11696 5659 11696 5667 11697 5659 11697 5666 11697 5665 11698 5659 11698 5658 11698 5667 11699 5661 11699 5659 11699 5668 11700 5669 11700 5666 11700 5670 11701 5666 11701 5669 11701 5665 11702 5668 11702 5666 11702 5667 11703 5666 11703 5670 11703 5671 11704 5672 11704 5669 11704 5673 11705 5669 11705 5672 11705 5668 11706 5671 11706 5669 11706 5670 11707 5669 11707 5673 11707 5674 11708 5663 11708 5672 11708 5675 11709 5672 11709 5663 11709 5671 11710 5674 11710 5672 11710 5673 11711 5672 11711 5675 11711 5674 11712 5662 11712 5663 11712 5675 11713 5663 11713 5664 11713 5676 11714 5658 11714 5662 11714 5677 11715 5665 11715 5658 11715 5676 11716 5677 11716 5658 11716 5678 11717 5662 11717 5674 11717 5676 11718 5662 11718 5678 11718 5679 11719 5674 11719 5671 11719 5678 11720 5674 11720 5679 11720 5680 11721 5671 11721 5668 11721 5679 11722 5671 11722 5680 11722 5681 11723 5668 11723 5665 11723 5680 11724 5668 11724 5681 11724 5681 11725 5665 11725 5677 11725 5644 11726 5664 11726 5661 11726 5645 11727 5644 11727 5661 11727 5667 11728 5645 11728 5661 11728 5646 11729 5675 11729 5664 11729 5644 11730 5646 11730 5664 11730 5649 11731 5673 11731 5675 11731 5646 11732 5649 11732 5675 11732 5648 11733 5673 11733 5649 11733 5670 11734 5673 11734 5648 11734 5647 11735 5649 11735 5646 11735 5667 11736 5643 11736 5645 11736 5642 11737 5645 11737 5643 11737 5670 11738 5648 11738 5643 11738 5667 11739 5670 11739 5643 11739 5680 11740 5681 11740 5677 11740 5676 11741 5680 11741 5677 11741 5676 11742 5679 11742 5680 11742 5676 11743 5678 11743 5679 11743 5682 11744 5683 11744 5684 11744 5685 11745 5684 11745 5683 11745 5686 11746 5684 11746 5687 11746 5688 11747 5687 11747 5684 11747 5682 11748 5684 11748 5686 11748 5685 11749 5688 11749 5684 11749 5689 11750 5690 11750 5683 11750 5691 11751 5683 11751 5690 11751 5692 11752 5689 11752 5683 11752 5682 11753 5692 11753 5683 11753 5691 11754 5685 11754 5683 11754 5693 11755 5687 11755 5690 11755 5694 11756 5690 11756 5687 11756 5689 11757 5693 11757 5690 11757 5691 11758 5690 11758 5694 11758 5695 11759 5686 11759 5687 11759 5693 11760 5695 11760 5687 11760 5688 11761 5694 11761 5687 11761 5696 11762 5686 11762 5695 11762 5697 11763 5682 11763 5686 11763 5696 11764 5697 11764 5686 11764 5698 11765 5695 11765 5693 11765 5699 11766 5695 11766 5698 11766 5696 11767 5695 11767 5699 11767 5700 11768 5693 11768 5689 11768 5698 11769 5693 11769 5700 11769 5701 11770 5689 11770 5692 11770 5701 11771 5700 11771 5689 11771 5702 11772 5692 11772 5682 11772 5702 11773 5703 11773 5692 11773 5701 11774 5692 11774 5703 11774 5702 11775 5682 11775 5697 11775 5704 11776 5694 11776 5688 11776 5704 11777 5705 11777 5694 11777 5691 11778 5694 11778 5705 11778 5706 11779 5688 11779 5685 11779 5706 11780 5704 11780 5688 11780 5706 11781 5685 11781 5707 11781 5691 11782 5707 11782 5685 11782 5691 11783 5705 11783 5707 11783 5708 11784 5707 11784 5705 11784 5709 11785 5706 11785 5707 11785 5708 11786 5709 11786 5707 11786 5710 11787 5705 11787 5704 11787 5710 11788 5708 11788 5705 11788 5711 11789 5704 11789 5706 11789 5710 11790 5704 11790 5711 11790 5709 11791 5711 11791 5706 11791 5708 11792 5711 11792 5709 11792 5710 11793 5711 11793 5708 11793 5712 11794 5713 11794 5714 11794 5715 11795 5714 11795 5713 11795 5716 11796 5714 11796 5717 11796 5718 11797 5717 11797 5714 11797 5716 11798 5712 11798 5714 11798 5718 11799 5714 11799 5715 11799 5719 11800 5720 11800 5713 11800 5721 11801 5713 11801 5720 11801 5719 11802 5713 11802 5712 11802 5721 11803 5715 11803 5713 11803 5722 11804 5723 11804 5720 11804 5724 11805 5720 11805 5723 11805 5719 11806 5722 11806 5720 11806 5721 11807 5720 11807 5724 11807 5725 11808 5726 11808 5723 11808 5727 11809 5723 11809 5726 11809 5722 11810 5725 11810 5723 11810 5724 11811 5723 11811 5727 11811 5728 11812 5717 11812 5726 11812 5729 11813 5726 11813 5717 11813 5725 11814 5728 11814 5726 11814 5727 11815 5726 11815 5729 11815 5728 11816 5716 11816 5717 11816 5729 11817 5717 11817 5718 11817 5730 11818 5712 11818 5716 11818 5731 11819 5719 11819 5712 11819 5730 11820 5731 11820 5712 11820 5732 11821 5716 11821 5728 11821 5730 11822 5716 11822 5732 11822 5733 11823 5728 11823 5725 11823 5732 11824 5728 11824 5733 11824 5734 11825 5725 11825 5722 11825 5733 11826 5725 11826 5734 11826 5735 11827 5722 11827 5719 11827 5734 11828 5722 11828 5735 11828 5735 11829 5719 11829 5731 11829 5698 11830 5718 11830 5715 11830 5699 11831 5698 11831 5715 11831 5721 11832 5699 11832 5715 11832 5700 11833 5729 11833 5718 11833 5698 11834 5700 11834 5718 11834 5703 11835 5727 11835 5729 11835 5700 11836 5703 11836 5729 11836 5702 11837 5727 11837 5703 11837 5724 11838 5727 11838 5702 11838 5701 11839 5703 11839 5700 11839 5721 11840 5697 11840 5699 11840 5696 11841 5699 11841 5697 11841 5724 11842 5702 11842 5697 11842 5721 11843 5724 11843 5697 11843 5734 11844 5735 11844 5731 11844 5730 11845 5734 11845 5731 11845 5730 11846 5733 11846 5734 11846 5730 11847 5732 11847 5733 11847 5736 11848 5737 11848 5738 11848 5739 11849 5738 11849 5737 11849 5740 11850 5738 11850 5741 11850 5742 11851 5741 11851 5738 11851 5736 11852 5738 11852 5740 11852 5739 11853 5742 11853 5738 11853 5743 11854 5744 11854 5737 11854 5745 11855 5737 11855 5744 11855 5746 11856 5743 11856 5737 11856 5736 11857 5746 11857 5737 11857 5745 11858 5739 11858 5737 11858 5747 11859 5741 11859 5744 11859 5748 11860 5744 11860 5741 11860 5743 11861 5747 11861 5744 11861 5745 11862 5744 11862 5748 11862 5749 11863 5740 11863 5741 11863 5747 11864 5749 11864 5741 11864 5742 11865 5748 11865 5741 11865 5750 11866 5740 11866 5749 11866 5751 11867 5736 11867 5740 11867 5750 11868 5751 11868 5740 11868 5752 11869 5749 11869 5747 11869 5753 11870 5749 11870 5752 11870 5750 11871 5749 11871 5753 11871 5754 11872 5747 11872 5743 11872 5752 11873 5747 11873 5754 11873 5755 11874 5743 11874 5746 11874 5755 11875 5754 11875 5743 11875 5756 11876 5746 11876 5736 11876 5756 11877 5757 11877 5746 11877 5755 11878 5746 11878 5757 11878 5756 11879 5736 11879 5751 11879 5758 11880 5748 11880 5742 11880 5758 11881 5759 11881 5748 11881 5745 11882 5748 11882 5759 11882 5760 11883 5742 11883 5739 11883 5760 11884 5758 11884 5742 11884 5760 11885 5739 11885 5761 11885 5745 11886 5761 11886 5739 11886 5745 11887 5759 11887 5761 11887 5762 11888 5761 11888 5759 11888 5763 11889 5760 11889 5761 11889 5762 11890 5763 11890 5761 11890 5764 11891 5759 11891 5758 11891 5764 11892 5762 11892 5759 11892 5765 11893 5758 11893 5760 11893 5764 11894 5758 11894 5765 11894 5763 11895 5765 11895 5760 11895 5762 11896 5765 11896 5763 11896 5764 11897 5765 11897 5762 11897 5766 11898 5767 11898 5768 11898 5769 11899 5768 11899 5767 11899 5770 11900 5768 11900 5771 11900 5772 11901 5771 11901 5768 11901 5770 11902 5766 11902 5768 11902 5772 11903 5768 11903 5769 11903 5773 11904 5774 11904 5767 11904 5775 11905 5767 11905 5774 11905 5773 11906 5767 11906 5766 11906 5775 11907 5769 11907 5767 11907 5776 11908 5777 11908 5774 11908 5778 11909 5774 11909 5777 11909 5773 11910 5776 11910 5774 11910 5775 11911 5774 11911 5778 11911 5779 11912 5780 11912 5777 11912 5781 11913 5777 11913 5780 11913 5776 11914 5779 11914 5777 11914 5778 11915 5777 11915 5781 11915 5782 11916 5771 11916 5780 11916 5783 11917 5780 11917 5771 11917 5779 11918 5782 11918 5780 11918 5781 11919 5780 11919 5783 11919 5782 11920 5770 11920 5771 11920 5783 11921 5771 11921 5772 11921 5784 11922 5766 11922 5770 11922 5785 11923 5773 11923 5766 11923 5784 11924 5785 11924 5766 11924 5786 11925 5770 11925 5782 11925 5784 11926 5770 11926 5786 11926 5787 11927 5782 11927 5779 11927 5786 11928 5782 11928 5787 11928 5788 11929 5779 11929 5776 11929 5787 11930 5779 11930 5788 11930 5789 11931 5776 11931 5773 11931 5788 11932 5776 11932 5789 11932 5789 11933 5773 11933 5785 11933 5752 11934 5772 11934 5769 11934 5753 11935 5752 11935 5769 11935 5775 11936 5753 11936 5769 11936 5754 11937 5783 11937 5772 11937 5752 11938 5754 11938 5772 11938 5757 11939 5781 11939 5783 11939 5754 11940 5757 11940 5783 11940 5756 11941 5781 11941 5757 11941 5778 11942 5781 11942 5756 11942 5755 11943 5757 11943 5754 11943 5775 11944 5751 11944 5753 11944 5750 11945 5753 11945 5751 11945 5778 11946 5756 11946 5751 11946 5775 11947 5778 11947 5751 11947 5788 11948 5789 11948 5785 11948 5784 11949 5788 11949 5785 11949 5784 11950 5787 11950 5788 11950 5784 11951 5786 11951 5787 11951 5790 11952 5791 11952 5792 11952 5793 11953 5792 11953 5791 11953 5794 11954 5792 11954 5795 11954 5796 11955 5795 11955 5792 11955 5790 11956 5792 11956 5794 11956 5793 11957 5796 11957 5792 11957 5797 11958 5798 11958 5791 11958 5799 11959 5791 11959 5798 11959 5800 11960 5797 11960 5791 11960 5790 11961 5800 11961 5791 11961 5799 11962 5793 11962 5791 11962 5801 11963 5795 11963 5798 11963 5802 11964 5798 11964 5795 11964 5797 11965 5801 11965 5798 11965 5799 11966 5798 11966 5802 11966 5803 11967 5794 11967 5795 11967 5801 11968 5803 11968 5795 11968 5796 11969 5802 11969 5795 11969 5804 11970 5794 11970 5803 11970 5805 11971 5790 11971 5794 11971 5804 11972 5805 11972 5794 11972 5806 11973 5803 11973 5801 11973 5807 11974 5803 11974 5806 11974 5804 11975 5803 11975 5807 11975 5808 11976 5801 11976 5797 11976 5806 11977 5801 11977 5808 11977 5809 11978 5797 11978 5800 11978 5809 11979 5808 11979 5797 11979 5810 11980 5800 11980 5790 11980 5810 11981 5811 11981 5800 11981 5809 11982 5800 11982 5811 11982 5810 11983 5790 11983 5805 11983 5812 11984 5802 11984 5796 11984 5812 11985 5813 11985 5802 11985 5799 11986 5802 11986 5813 11986 5814 11987 5796 11987 5793 11987 5814 11988 5812 11988 5796 11988 5814 11989 5793 11989 5815 11989 5799 11990 5815 11990 5793 11990 5799 11991 5813 11991 5815 11991 5816 11992 5815 11992 5813 11992 5817 11993 5814 11993 5815 11993 5816 11994 5817 11994 5815 11994 5818 11995 5813 11995 5812 11995 5818 11996 5816 11996 5813 11996 5819 11997 5812 11997 5814 11997 5818 11998 5812 11998 5819 11998 5817 11999 5819 11999 5814 11999 5816 12000 5819 12000 5817 12000 5818 12001 5819 12001 5816 12001 5820 12002 5821 12002 5822 12002 5823 12003 5822 12003 5821 12003 5824 12004 5822 12004 5825 12004 5826 12005 5825 12005 5822 12005 5824 12006 5820 12006 5822 12006 5826 12007 5822 12007 5823 12007 5827 12008 5828 12008 5821 12008 5829 12009 5821 12009 5828 12009 5827 12010 5821 12010 5820 12010 5829 12011 5823 12011 5821 12011 5830 12012 5831 12012 5828 12012 5832 12013 5828 12013 5831 12013 5827 12014 5830 12014 5828 12014 5829 12015 5828 12015 5832 12015 5833 12016 5834 12016 5831 12016 5835 12017 5831 12017 5834 12017 5830 12018 5833 12018 5831 12018 5832 12019 5831 12019 5835 12019 5836 12020 5825 12020 5834 12020 5837 12021 5834 12021 5825 12021 5833 12022 5836 12022 5834 12022 5835 12023 5834 12023 5837 12023 5836 12024 5824 12024 5825 12024 5837 12025 5825 12025 5826 12025 5838 12026 5820 12026 5824 12026 5839 12027 5827 12027 5820 12027 5838 12028 5839 12028 5820 12028 5840 12029 5824 12029 5836 12029 5838 12030 5824 12030 5840 12030 5841 12031 5836 12031 5833 12031 5840 12032 5836 12032 5841 12032 5842 12033 5833 12033 5830 12033 5841 12034 5833 12034 5842 12034 5843 12035 5830 12035 5827 12035 5842 12036 5830 12036 5843 12036 5843 12037 5827 12037 5839 12037 5806 12038 5826 12038 5823 12038 5807 12039 5806 12039 5823 12039 5829 12040 5807 12040 5823 12040 5808 12041 5837 12041 5826 12041 5806 12042 5808 12042 5826 12042 5811 12043 5835 12043 5837 12043 5808 12044 5811 12044 5837 12044 5810 12045 5835 12045 5811 12045 5832 12046 5835 12046 5810 12046 5809 12047 5811 12047 5808 12047 5829 12048 5805 12048 5807 12048 5804 12049 5807 12049 5805 12049 5832 12050 5810 12050 5805 12050 5829 12051 5832 12051 5805 12051 5842 12052 5843 12052 5839 12052 5838 12053 5842 12053 5839 12053 5838 12054 5841 12054 5842 12054 5838 12055 5840 12055 5841 12055 5844 12056 5845 12056 5846 12056 5847 12057 5846 12057 5845 12057 5848 12058 5846 12058 5849 12058 5850 12059 5849 12059 5846 12059 5844 12060 5846 12060 5848 12060 5847 12061 5850 12061 5846 12061 5851 12062 5852 12062 5845 12062 5853 12063 5845 12063 5852 12063 5854 12064 5851 12064 5845 12064 5844 12065 5854 12065 5845 12065 5853 12066 5847 12066 5845 12066 5855 12067 5849 12067 5852 12067 5856 12068 5852 12068 5849 12068 5851 12069 5855 12069 5852 12069 5853 12070 5852 12070 5856 12070 5857 12071 5848 12071 5849 12071 5855 12072 5857 12072 5849 12072 5850 12073 5856 12073 5849 12073 5858 12074 5848 12074 5857 12074 5859 12075 5844 12075 5848 12075 5858 12076 5859 12076 5848 12076 5860 12077 5857 12077 5855 12077 5861 12078 5857 12078 5860 12078 5858 12079 5857 12079 5861 12079 5862 12080 5855 12080 5851 12080 5860 12081 5855 12081 5862 12081 5863 12082 5851 12082 5854 12082 5863 12083 5862 12083 5851 12083 5864 12084 5854 12084 5844 12084 5864 12085 5865 12085 5854 12085 5863 12086 5854 12086 5865 12086 5864 12087 5844 12087 5859 12087 5866 12088 5856 12088 5850 12088 5866 12089 5867 12089 5856 12089 5853 12090 5856 12090 5867 12090 5868 12091 5850 12091 5847 12091 5868 12092 5866 12092 5850 12092 5868 12093 5847 12093 5869 12093 5853 12094 5869 12094 5847 12094 5853 12095 5867 12095 5869 12095 5870 12096 5869 12096 5867 12096 5871 12097 5868 12097 5869 12097 5870 12098 5871 12098 5869 12098 5872 12099 5867 12099 5866 12099 5872 12100 5870 12100 5867 12100 5873 12101 5866 12101 5868 12101 5872 12102 5866 12102 5873 12102 5871 12103 5873 12103 5868 12103 5870 12104 5873 12104 5871 12104 5872 12105 5873 12105 5870 12105 5874 12106 5875 12106 5876 12106 5877 12107 5876 12107 5875 12107 5878 12108 5876 12108 5879 12108 5880 12109 5879 12109 5876 12109 5878 12110 5874 12110 5876 12110 5880 12111 5876 12111 5877 12111 5881 12112 5882 12112 5875 12112 5883 12113 5875 12113 5882 12113 5881 12114 5875 12114 5874 12114 5883 12115 5877 12115 5875 12115 5884 12116 5885 12116 5882 12116 5886 12117 5882 12117 5885 12117 5881 12118 5884 12118 5882 12118 5883 12119 5882 12119 5886 12119 5887 12120 5888 12120 5885 12120 5889 12121 5885 12121 5888 12121 5884 12122 5887 12122 5885 12122 5886 12123 5885 12123 5889 12123 5890 12124 5879 12124 5888 12124 5891 12125 5888 12125 5879 12125 5887 12126 5890 12126 5888 12126 5889 12127 5888 12127 5891 12127 5890 12128 5878 12128 5879 12128 5891 12129 5879 12129 5880 12129 5892 12130 5874 12130 5878 12130 5893 12131 5881 12131 5874 12131 5892 12132 5893 12132 5874 12132 5894 12133 5878 12133 5890 12133 5892 12134 5878 12134 5894 12134 5895 12135 5890 12135 5887 12135 5894 12136 5890 12136 5895 12136 5896 12137 5887 12137 5884 12137 5895 12138 5887 12138 5896 12138 5897 12139 5884 12139 5881 12139 5896 12140 5884 12140 5897 12140 5897 12141 5881 12141 5893 12141 5860 12142 5880 12142 5877 12142 5861 12143 5860 12143 5877 12143 5883 12144 5861 12144 5877 12144 5862 12145 5891 12145 5880 12145 5860 12146 5862 12146 5880 12146 5865 12147 5889 12147 5891 12147 5862 12148 5865 12148 5891 12148 5864 12149 5889 12149 5865 12149 5886 12150 5889 12150 5864 12150 5863 12151 5865 12151 5862 12151 5883 12152 5859 12152 5861 12152 5858 12153 5861 12153 5859 12153 5886 12154 5864 12154 5859 12154 5883 12155 5886 12155 5859 12155 5896 12156 5897 12156 5893 12156 5892 12157 5896 12157 5893 12157 5892 12158 5895 12158 5896 12158 5892 12159 5894 12159 5895 12159 5898 12160 5899 12160 5900 12160 5901 12161 5900 12161 5899 12161 5902 12162 5900 12162 5903 12162 5904 12163 5903 12163 5900 12163 5898 12164 5900 12164 5902 12164 5901 12165 5904 12165 5900 12165 5905 12166 5906 12166 5899 12166 5907 12167 5899 12167 5906 12167 5908 12168 5905 12168 5899 12168 5898 12169 5908 12169 5899 12169 5907 12170 5901 12170 5899 12170 5909 12171 5903 12171 5906 12171 5910 12172 5906 12172 5903 12172 5905 12173 5909 12173 5906 12173 5907 12174 5906 12174 5910 12174 5911 12175 5902 12175 5903 12175 5909 12176 5911 12176 5903 12176 5904 12177 5910 12177 5903 12177 5912 12178 5902 12178 5911 12178 5913 12179 5898 12179 5902 12179 5912 12180 5913 12180 5902 12180 5914 12181 5911 12181 5909 12181 5915 12182 5911 12182 5914 12182 5912 12183 5911 12183 5915 12183 5916 12184 5909 12184 5905 12184 5914 12185 5909 12185 5916 12185 5917 12186 5905 12186 5908 12186 5917 12187 5916 12187 5905 12187 5918 12188 5908 12188 5898 12188 5918 12189 5919 12189 5908 12189 5917 12190 5908 12190 5919 12190 5918 12191 5898 12191 5913 12191 5920 12192 5910 12192 5904 12192 5920 12193 5921 12193 5910 12193 5907 12194 5910 12194 5921 12194 5922 12195 5904 12195 5901 12195 5922 12196 5920 12196 5904 12196 5922 12197 5901 12197 5923 12197 5907 12198 5923 12198 5901 12198 5907 12199 5921 12199 5923 12199 5924 12200 5923 12200 5921 12200 5925 12201 5922 12201 5923 12201 5924 12202 5925 12202 5923 12202 5926 12203 5921 12203 5920 12203 5926 12204 5924 12204 5921 12204 5927 12205 5920 12205 5922 12205 5926 12206 5920 12206 5927 12206 5925 12207 5927 12207 5922 12207 5924 12208 5927 12208 5925 12208 5926 12209 5927 12209 5924 12209 5928 12210 5929 12210 5930 12210 5931 12211 5930 12211 5929 12211 5932 12212 5930 12212 5933 12212 5934 12213 5933 12213 5930 12213 5932 12214 5928 12214 5930 12214 5934 12215 5930 12215 5931 12215 5935 12216 5936 12216 5929 12216 5937 12217 5929 12217 5936 12217 5935 12218 5929 12218 5928 12218 5937 12219 5931 12219 5929 12219 5938 12220 5939 12220 5936 12220 5940 12221 5936 12221 5939 12221 5935 12222 5938 12222 5936 12222 5937 12223 5936 12223 5940 12223 5941 12224 5942 12224 5939 12224 5943 12225 5939 12225 5942 12225 5938 12226 5941 12226 5939 12226 5940 12227 5939 12227 5943 12227 5944 12228 5933 12228 5942 12228 5945 12229 5942 12229 5933 12229 5941 12230 5944 12230 5942 12230 5943 12231 5942 12231 5945 12231 5944 12232 5932 12232 5933 12232 5945 12233 5933 12233 5934 12233 5946 12234 5928 12234 5932 12234 5947 12235 5935 12235 5928 12235 5946 12236 5947 12236 5928 12236 5948 12237 5932 12237 5944 12237 5946 12238 5932 12238 5948 12238 5949 12239 5944 12239 5941 12239 5948 12240 5944 12240 5949 12240 5950 12241 5941 12241 5938 12241 5949 12242 5941 12242 5950 12242 5951 12243 5938 12243 5935 12243 5950 12244 5938 12244 5951 12244 5951 12245 5935 12245 5947 12245 5914 12246 5934 12246 5931 12246 5915 12247 5914 12247 5931 12247 5937 12248 5915 12248 5931 12248 5916 12249 5945 12249 5934 12249 5914 12250 5916 12250 5934 12250 5919 12251 5943 12251 5945 12251 5916 12252 5919 12252 5945 12252 5918 12253 5943 12253 5919 12253 5940 12254 5943 12254 5918 12254 5917 12255 5919 12255 5916 12255 5937 12256 5913 12256 5915 12256 5912 12257 5915 12257 5913 12257 5940 12258 5918 12258 5913 12258 5937 12259 5940 12259 5913 12259 5950 12260 5951 12260 5947 12260 5946 12261 5950 12261 5947 12261 5946 12262 5949 12262 5950 12262 5946 12263 5948 12263 5949 12263 5952 12264 5953 12264 5954 12264 5955 12265 5954 12265 5953 12265 5956 12266 5954 12266 5957 12266 5958 12267 5957 12267 5954 12267 5952 12268 5954 12268 5956 12268 5955 12269 5958 12269 5954 12269 5959 12270 5960 12270 5953 12270 5961 12271 5953 12271 5960 12271 5962 12272 5959 12272 5953 12272 5952 12273 5962 12273 5953 12273 5961 12274 5955 12274 5953 12274 5963 12275 5957 12275 5960 12275 5964 12276 5960 12276 5957 12276 5959 12277 5963 12277 5960 12277 5961 12278 5960 12278 5964 12278 5965 12279 5956 12279 5957 12279 5963 12280 5965 12280 5957 12280 5958 12281 5964 12281 5957 12281 5966 12282 5956 12282 5965 12282 5967 12283 5952 12283 5956 12283 5966 12284 5967 12284 5956 12284 5968 12285 5965 12285 5963 12285 5969 12286 5965 12286 5968 12286 5966 12287 5965 12287 5969 12287 5970 12288 5963 12288 5959 12288 5968 12289 5963 12289 5970 12289 5971 12290 5959 12290 5962 12290 5971 12291 5970 12291 5959 12291 5972 12292 5962 12292 5952 12292 5972 12293 5973 12293 5962 12293 5971 12294 5962 12294 5973 12294 5972 12295 5952 12295 5967 12295 5974 12296 5964 12296 5958 12296 5974 12297 5975 12297 5964 12297 5961 12298 5964 12298 5975 12298 5976 12299 5958 12299 5955 12299 5976 12300 5974 12300 5958 12300 5976 12301 5955 12301 5977 12301 5961 12302 5977 12302 5955 12302 5961 12303 5975 12303 5977 12303 5978 12304 5977 12304 5975 12304 5979 12305 5976 12305 5977 12305 5978 12306 5979 12306 5977 12306 5980 12307 5975 12307 5974 12307 5980 12308 5978 12308 5975 12308 5981 12309 5974 12309 5976 12309 5980 12310 5974 12310 5981 12310 5979 12311 5981 12311 5976 12311 5978 12312 5981 12312 5979 12312 5980 12313 5981 12313 5978 12313 5982 12314 5983 12314 5984 12314 5985 12315 5984 12315 5983 12315 5986 12316 5982 12316 5984 12316 5986 12317 5984 12317 5985 12317 5987 12318 5988 12318 5983 12318 5989 12319 5983 12319 5988 12319 5990 12320 5983 12320 5982 12320 5990 12321 5991 12321 5983 12321 5987 12322 5983 12322 5991 12322 5989 12323 5985 12323 5983 12323 5992 12324 5993 12324 5988 12324 5994 12325 5988 12325 5993 12325 5987 12326 5992 12326 5988 12326 5989 12327 5988 12327 5994 12327 5995 12328 5996 12328 5993 12328 5994 12329 5993 12329 5996 12329 5992 12330 5995 12330 5993 12330 5997 12331 5996 12331 5995 12331 5994 12332 5996 12332 5997 12332 5998 12333 5999 12333 5995 12333 6000 12334 5995 12334 5999 12334 6001 12335 5998 12335 5995 12335 5992 12336 6001 12336 5995 12336 5997 12337 5995 12337 6000 12337 5990 12338 5982 12338 5999 12338 5986 12339 5999 12339 5982 12339 5998 12340 5990 12340 5999 12340 6000 12341 5999 12341 5986 12341 6002 12342 5991 12342 5990 12342 6003 12343 5987 12343 5991 12343 6002 12344 6003 12344 5991 12344 6004 12345 5990 12345 5998 12345 6002 12346 5990 12346 6004 12346 6005 12347 5998 12347 6001 12347 6004 12348 5998 12348 6005 12348 6006 12349 6001 12349 5992 12349 6005 12350 6001 12350 6006 12350 6007 12351 5992 12351 5987 12351 6006 12352 5992 12352 6007 12352 6007 12353 5987 12353 6003 12353 5968 12354 5986 12354 5985 12354 5969 12355 5968 12355 5985 12355 5989 12356 5969 12356 5985 12356 5970 12357 6000 12357 5986 12357 5968 12358 5970 12358 5986 12358 5973 12359 5997 12359 6000 12359 5970 12360 5973 12360 6000 12360 5972 12361 5997 12361 5973 12361 5994 12362 5997 12362 5972 12362 5971 12363 5973 12363 5970 12363 5989 12364 5967 12364 5969 12364 5966 12365 5969 12365 5967 12365 5994 12366 5972 12366 5967 12366 5989 12367 5994 12367 5967 12367 6006 12368 6007 12368 6003 12368 6002 12369 6006 12369 6003 12369 6002 12370 6005 12370 6006 12370 6002 12371 6004 12371 6005 12371 6008 12372 6009 12372 6010 12372 6011 12373 6010 12373 6009 12373 6012 12374 6010 12374 6013 12374 6014 12375 6013 12375 6010 12375 6008 12376 6010 12376 6012 12376 6011 12377 6014 12377 6010 12377 6015 12378 6016 12378 6009 12378 6017 12379 6009 12379 6016 12379 6018 12380 6015 12380 6009 12380 6008 12381 6018 12381 6009 12381 6017 12382 6011 12382 6009 12382 6019 12383 6013 12383 6016 12383 6020 12384 6016 12384 6013 12384 6015 12385 6019 12385 6016 12385 6017 12386 6016 12386 6020 12386 6021 12387 6012 12387 6013 12387 6019 12388 6021 12388 6013 12388 6014 12389 6020 12389 6013 12389 6022 12390 6012 12390 6021 12390 6023 12391 6008 12391 6012 12391 6022 12392 6023 12392 6012 12392 6024 12393 6021 12393 6019 12393 6025 12394 6021 12394 6024 12394 6022 12395 6021 12395 6025 12395 6026 12396 6019 12396 6015 12396 6024 12397 6019 12397 6026 12397 6027 12398 6015 12398 6018 12398 6027 12399 6026 12399 6015 12399 6028 12400 6018 12400 6008 12400 6028 12401 6029 12401 6018 12401 6027 12402 6018 12402 6029 12402 6028 12403 6008 12403 6023 12403 6030 12404 6020 12404 6014 12404 6030 12405 6031 12405 6020 12405 6017 12406 6020 12406 6031 12406 6032 12407 6014 12407 6011 12407 6032 12408 6030 12408 6014 12408 6032 12409 6011 12409 6033 12409 6017 12410 6033 12410 6011 12410 6017 12411 6031 12411 6033 12411 6034 12412 6033 12412 6031 12412 6035 12413 6032 12413 6033 12413 6034 12414 6035 12414 6033 12414 6036 12415 6031 12415 6030 12415 6036 12416 6034 12416 6031 12416 6037 12417 6030 12417 6032 12417 6036 12418 6030 12418 6037 12418 6035 12419 6037 12419 6032 12419 6034 12420 6037 12420 6035 12420 6036 12421 6037 12421 6034 12421 6038 12422 6039 12422 6040 12422 6041 12423 6040 12423 6039 12423 6042 12424 6038 12424 6040 12424 6042 12425 6040 12425 6041 12425 6043 12426 6044 12426 6039 12426 6045 12427 6039 12427 6044 12427 6046 12428 6039 12428 6038 12428 6046 12429 6047 12429 6039 12429 6043 12430 6039 12430 6047 12430 6045 12431 6041 12431 6039 12431 6048 12432 6049 12432 6044 12432 6050 12433 6044 12433 6049 12433 6043 12434 6048 12434 6044 12434 6045 12435 6044 12435 6050 12435 6051 12436 6052 12436 6049 12436 6050 12437 6049 12437 6052 12437 6048 12438 6051 12438 6049 12438 6053 12439 6052 12439 6051 12439 6050 12440 6052 12440 6053 12440 6054 12441 6055 12441 6051 12441 6056 12442 6051 12442 6055 12442 6057 12443 6054 12443 6051 12443 6048 12444 6057 12444 6051 12444 6053 12445 6051 12445 6056 12445 6046 12446 6038 12446 6055 12446 6042 12447 6055 12447 6038 12447 6054 12448 6046 12448 6055 12448 6056 12449 6055 12449 6042 12449 6058 12450 6047 12450 6046 12450 6059 12451 6043 12451 6047 12451 6058 12452 6059 12452 6047 12452 6060 12453 6046 12453 6054 12453 6058 12454 6046 12454 6060 12454 6061 12455 6054 12455 6057 12455 6060 12456 6054 12456 6061 12456 6062 12457 6057 12457 6048 12457 6061 12458 6057 12458 6062 12458 6063 12459 6048 12459 6043 12459 6062 12460 6048 12460 6063 12460 6063 12461 6043 12461 6059 12461 6024 12462 6042 12462 6041 12462 6025 12463 6024 12463 6041 12463 6045 12464 6025 12464 6041 12464 6026 12465 6056 12465 6042 12465 6024 12466 6026 12466 6042 12466 6029 12467 6053 12467 6056 12467 6026 12468 6029 12468 6056 12468 6028 12469 6053 12469 6029 12469 6050 12470 6053 12470 6028 12470 6027 12471 6029 12471 6026 12471 6045 12472 6023 12472 6025 12472 6022 12473 6025 12473 6023 12473 6050 12474 6028 12474 6023 12474 6045 12475 6050 12475 6023 12475 6062 12476 6063 12476 6059 12476 6058 12477 6062 12477 6059 12477 6058 12478 6061 12478 6062 12478 6058 12479 6060 12479 6061 12479 6064 12480 6065 12480 6066 12480 6067 12481 6066 12481 6065 12481 6068 12482 6066 12482 6069 12482 6070 12483 6069 12483 6066 12483 6064 12484 6066 12484 6068 12484 6067 12485 6070 12485 6066 12485 6071 12486 6072 12486 6065 12486 6073 12487 6065 12487 6072 12487 6074 12488 6071 12488 6065 12488 6064 12489 6074 12489 6065 12489 6073 12490 6067 12490 6065 12490 6075 12491 6069 12491 6072 12491 6076 12492 6072 12492 6069 12492 6071 12493 6075 12493 6072 12493 6073 12494 6072 12494 6076 12494 6077 12495 6068 12495 6069 12495 6075 12496 6077 12496 6069 12496 6070 12497 6076 12497 6069 12497 6078 12498 6068 12498 6077 12498 6079 12499 6064 12499 6068 12499 6078 12500 6079 12500 6068 12500 6080 12501 6077 12501 6075 12501 6081 12502 6077 12502 6080 12502 6078 12503 6077 12503 6081 12503 6082 12504 6075 12504 6071 12504 6080 12505 6075 12505 6082 12505 6083 12506 6071 12506 6074 12506 6083 12507 6082 12507 6071 12507 6084 12508 6074 12508 6064 12508 6084 12509 6085 12509 6074 12509 6083 12510 6074 12510 6085 12510 6084 12511 6064 12511 6079 12511 6086 12512 6076 12512 6070 12512 6086 12513 6087 12513 6076 12513 6073 12514 6076 12514 6087 12514 6088 12515 6070 12515 6067 12515 6088 12516 6086 12516 6070 12516 6088 12517 6067 12517 6089 12517 6073 12518 6089 12518 6067 12518 6073 12519 6087 12519 6089 12519 6090 12520 6089 12520 6087 12520 6091 12521 6088 12521 6089 12521 6090 12522 6091 12522 6089 12522 6092 12523 6087 12523 6086 12523 6092 12524 6090 12524 6087 12524 6093 12525 6086 12525 6088 12525 6092 12526 6086 12526 6093 12526 6091 12527 6093 12527 6088 12527 6090 12528 6093 12528 6091 12528 6092 12529 6093 12529 6090 12529 6094 12530 6095 12530 6096 12530 6097 12531 6096 12531 6095 12531 6098 12532 6096 12532 6099 12532 6100 12533 6099 12533 6096 12533 6098 12534 6094 12534 6096 12534 6100 12535 6096 12535 6097 12535 6101 12536 6102 12536 6095 12536 6103 12537 6095 12537 6102 12537 6104 12538 6101 12538 6095 12538 6104 12539 6095 12539 6094 12539 6103 12540 6097 12540 6095 12540 6105 12541 6102 12541 6101 12541 6103 12542 6102 12542 6105 12542 6106 12543 6107 12543 6101 12543 6105 12544 6101 12544 6107 12544 6104 12545 6106 12545 6101 12545 6108 12546 6109 12546 6107 12546 6110 12547 6107 12547 6109 12547 6106 12548 6108 12548 6107 12548 6105 12549 6107 12549 6110 12549 6099 12550 6111 12550 6109 12550 6112 12551 6109 12551 6111 12551 6113 12552 6099 12552 6109 12552 6108 12553 6113 12553 6109 12553 6110 12554 6109 12554 6112 12554 6100 12555 6111 12555 6099 12555 6112 12556 6111 12556 6100 12556 6113 12557 6098 12557 6099 12557 6114 12558 6094 12558 6098 12558 6115 12559 6104 12559 6094 12559 6114 12560 6115 12560 6094 12560 6116 12561 6098 12561 6113 12561 6114 12562 6098 12562 6116 12562 6117 12563 6113 12563 6108 12563 6116 12564 6113 12564 6117 12564 6118 12565 6108 12565 6106 12565 6117 12566 6108 12566 6118 12566 6119 12567 6106 12567 6104 12567 6118 12568 6106 12568 6119 12568 6119 12569 6104 12569 6115 12569 6080 12570 6100 12570 6097 12570 6081 12571 6080 12571 6097 12571 6103 12572 6081 12572 6097 12572 6082 12573 6112 12573 6100 12573 6080 12574 6082 12574 6100 12574 6085 12575 6110 12575 6112 12575 6082 12576 6085 12576 6112 12576 6084 12577 6110 12577 6085 12577 6105 12578 6110 12578 6084 12578 6083 12579 6085 12579 6082 12579 6103 12580 6079 12580 6081 12580 6078 12581 6081 12581 6079 12581 6105 12582 6084 12582 6079 12582 6103 12583 6105 12583 6079 12583 6118 12584 6119 12584 6115 12584 6114 12585 6118 12585 6115 12585 6114 12586 6117 12586 6118 12586 6114 12587 6116 12587 6117 12587 6120 12588 6121 12588 6122 12588 6123 12589 6122 12589 6121 12589 6124 12590 6122 12590 6125 12590 6126 12591 6125 12591 6122 12591 6120 12592 6122 12592 6124 12592 6123 12593 6126 12593 6122 12593 6127 12594 6128 12594 6121 12594 6129 12595 6121 12595 6128 12595 6130 12596 6127 12596 6121 12596 6120 12597 6130 12597 6121 12597 6129 12598 6123 12598 6121 12598 6131 12599 6125 12599 6128 12599 6132 12600 6128 12600 6125 12600 6127 12601 6131 12601 6128 12601 6129 12602 6128 12602 6132 12602 6133 12603 6124 12603 6125 12603 6131 12604 6133 12604 6125 12604 6126 12605 6132 12605 6125 12605 6134 12606 6124 12606 6133 12606 6135 12607 6120 12607 6124 12607 6134 12608 6135 12608 6124 12608 6136 12609 6133 12609 6131 12609 6137 12610 6133 12610 6136 12610 6134 12611 6133 12611 6137 12611 6138 12612 6131 12612 6127 12612 6136 12613 6131 12613 6138 12613 6139 12614 6127 12614 6130 12614 6139 12615 6138 12615 6127 12615 6140 12616 6130 12616 6120 12616 6140 12617 6141 12617 6130 12617 6139 12618 6130 12618 6141 12618 6140 12619 6120 12619 6135 12619 6142 12620 6132 12620 6126 12620 6142 12621 6143 12621 6132 12621 6129 12622 6132 12622 6143 12622 6144 12623 6126 12623 6123 12623 6144 12624 6142 12624 6126 12624 6144 12625 6123 12625 6145 12625 6129 12626 6145 12626 6123 12626 6129 12627 6143 12627 6145 12627 6146 12628 6145 12628 6143 12628 6147 12629 6144 12629 6145 12629 6146 12630 6147 12630 6145 12630 6148 12631 6143 12631 6142 12631 6148 12632 6146 12632 6143 12632 6149 12633 6142 12633 6144 12633 6148 12634 6142 12634 6149 12634 6147 12635 6149 12635 6144 12635 6146 12636 6149 12636 6147 12636 6148 12637 6149 12637 6146 12637 6150 12638 6151 12638 6152 12638 6153 12639 6152 12639 6151 12639 6154 12640 6152 12640 6155 12640 6156 12641 6155 12641 6152 12641 6154 12642 6150 12642 6152 12642 6156 12643 6152 12643 6153 12643 6157 12644 6158 12644 6151 12644 6159 12645 6151 12645 6158 12645 6160 12646 6157 12646 6151 12646 6160 12647 6151 12647 6150 12647 6159 12648 6153 12648 6151 12648 6161 12649 6158 12649 6157 12649 6159 12650 6158 12650 6161 12650 6162 12651 6163 12651 6157 12651 6161 12652 6157 12652 6163 12652 6160 12653 6162 12653 6157 12653 6164 12654 6165 12654 6163 12654 6166 12655 6163 12655 6165 12655 6162 12656 6164 12656 6163 12656 6161 12657 6163 12657 6166 12657 6155 12658 6167 12658 6165 12658 6168 12659 6165 12659 6167 12659 6169 12660 6155 12660 6165 12660 6164 12661 6169 12661 6165 12661 6166 12662 6165 12662 6168 12662 6156 12663 6167 12663 6155 12663 6168 12664 6167 12664 6156 12664 6169 12665 6154 12665 6155 12665 6170 12666 6150 12666 6154 12666 6171 12667 6160 12667 6150 12667 6170 12668 6171 12668 6150 12668 6172 12669 6154 12669 6169 12669 6170 12670 6154 12670 6172 12670 6173 12671 6169 12671 6164 12671 6172 12672 6169 12672 6173 12672 6174 12673 6164 12673 6162 12673 6173 12674 6164 12674 6174 12674 6175 12675 6162 12675 6160 12675 6174 12676 6162 12676 6175 12676 6175 12677 6160 12677 6171 12677 6136 12678 6156 12678 6153 12678 6137 12679 6136 12679 6153 12679 6159 12680 6137 12680 6153 12680 6138 12681 6168 12681 6156 12681 6136 12682 6138 12682 6156 12682 6141 12683 6166 12683 6168 12683 6138 12684 6141 12684 6168 12684 6140 12685 6166 12685 6141 12685 6161 12686 6166 12686 6140 12686 6139 12687 6141 12687 6138 12687 6159 12688 6135 12688 6137 12688 6134 12689 6137 12689 6135 12689 6161 12690 6140 12690 6135 12690 6159 12691 6161 12691 6135 12691 6174 12692 6175 12692 6171 12692 6170 12693 6174 12693 6171 12693 6170 12694 6173 12694 6174 12694 6170 12695 6172 12695 6173 12695 6176 12696 6177 12696 6178 12696 6179 12697 6178 12697 6177 12697 6180 12698 6178 12698 6181 12698 6182 12699 6181 12699 6178 12699 6180 12700 6183 12700 6178 12700 6184 12701 6178 12701 6183 12701 6185 12702 6176 12702 6178 12702 6184 12703 6185 12703 6178 12703 6182 12704 6178 12704 6179 12704 6186 12705 6187 12705 6177 12705 6179 12706 6177 12706 6187 12706 6188 12707 6177 12707 6176 12707 6189 12708 6190 12708 6177 12708 6191 12709 6177 12709 6190 12709 6192 12710 6189 12710 6177 12710 6188 12711 6192 12711 6177 12711 6191 12712 6186 12712 6177 12712 6193 12713 6194 12713 6187 12713 6179 12714 6187 12714 6194 12714 6186 12715 6195 12715 6187 12715 6196 12716 6187 12716 6195 12716 6197 12717 6193 12717 6187 12717 6196 12718 6197 12718 6187 12718 6198 12719 6199 12719 6194 12719 6179 12720 6194 12720 6199 12720 6200 12721 6194 12721 6193 12721 6201 12722 6202 12722 6194 12722 6198 12723 6194 12723 6202 12723 6200 12724 6201 12724 6194 12724 6203 12725 6204 12725 6199 12725 6205 12726 6199 12726 6204 12726 6206 12727 6207 12727 6199 12727 6208 12728 6199 12728 6207 12728 6198 12729 6206 12729 6199 12729 6208 12730 6203 12730 6199 12730 6205 12731 6179 12731 6199 12731 6209 12732 6210 12732 6204 12732 6205 12733 6204 12733 6210 12733 6203 12734 6211 12734 6204 12734 6212 12735 6204 12735 6211 12735 6213 12736 6214 12736 6204 12736 6209 12737 6204 12737 6214 12737 6212 12738 6213 12738 6204 12738 6215 12739 6216 12739 6210 12739 6205 12740 6210 12740 6216 12740 6217 12741 6218 12741 6210 12741 6219 12742 6210 12742 6218 12742 6209 12743 6217 12743 6210 12743 6219 12744 6215 12744 6210 12744 6220 12745 6221 12745 6216 12745 6205 12746 6216 12746 6221 12746 6215 12747 6222 12747 6216 12747 6223 12748 6216 12748 6222 12748 6224 12749 6220 12749 6216 12749 6223 12750 6224 12750 6216 12750 6225 12751 6226 12751 6221 12751 6227 12752 6221 12752 6226 12752 6228 12753 6221 12753 6220 12753 6228 12754 6225 12754 6221 12754 6227 12755 6205 12755 6221 12755 6229 12756 6230 12756 6226 12756 6227 12757 6226 12757 6230 12757 6225 12758 6231 12758 6226 12758 6232 12759 6226 12759 6231 12759 6233 12760 6234 12760 6226 12760 6235 12761 6226 12761 6234 12761 6232 12762 6233 12762 6226 12762 6235 12763 6229 12763 6226 12763 6236 12764 6237 12764 6230 12764 6227 12765 6230 12765 6237 12765 6229 12766 6238 12766 6230 12766 6239 12767 6230 12767 6238 12767 6240 12768 6236 12768 6230 12768 6239 12769 6240 12769 6230 12769 6241 12770 6242 12770 6237 12770 6227 12771 6237 12771 6242 12771 6243 12772 6237 12772 6236 12772 6244 12773 6245 12773 6237 12773 6246 12774 6237 12774 6245 12774 6243 12775 6244 12775 6237 12775 6246 12776 6241 12776 6237 12776 6247 12777 6248 12777 6242 12777 6249 12778 6242 12778 6248 12778 6241 12779 6250 12779 6242 12779 6251 12780 6242 12780 6250 12780 6252 12781 6247 12781 6242 12781 6251 12782 6252 12782 6242 12782 6249 12783 6227 12783 6242 12783 6253 12784 6254 12784 6248 12784 6249 12785 6248 12785 6254 12785 6255 12786 6248 12786 6247 12786 6256 12787 6248 12787 6255 12787 6257 12788 6258 12788 6248 12788 6253 12789 6248 12789 6258 12789 6256 12790 6257 12790 6248 12790 6259 12791 6254 12791 6260 12791 6249 12792 6254 12792 6259 12792 6261 12793 6262 12793 6254 12793 6263 12794 6254 12794 6262 12794 6253 12795 6261 12795 6254 12795 6260 12796 6264 12796 6259 12796 6263 12797 6260 12797 6254 12797 6265 12798 6266 12798 6259 12798 6249 12799 6259 12799 6266 12799 6267 12800 6259 12800 6264 12800 6268 12801 6259 12801 6267 12801 6269 12802 6270 12802 6259 12802 6265 12803 6259 12803 6270 12803 6268 12804 6269 12804 6259 12804 6271 12805 6272 12805 6266 12805 6273 12806 6266 12806 6272 12806 6274 12807 6275 12807 6266 12807 6276 12808 6266 12808 6275 12808 6265 12809 6274 12809 6266 12809 6276 12810 6271 12810 6266 12810 6273 12811 6249 12811 6266 12811 6277 12812 6278 12812 6272 12812 6273 12813 6272 12813 6278 12813 6271 12814 6279 12814 6272 12814 6280 12815 6272 12815 6279 12815 6281 12816 6277 12816 6272 12816 6280 12817 6281 12817 6272 12817 6282 12818 6283 12818 6278 12818 6273 12819 6278 12819 6283 12819 6284 12820 6278 12820 6277 12820 6285 12821 6286 12821 6278 12821 6282 12822 6278 12822 6286 12822 6284 12823 6285 12823 6278 12823 6287 12824 6288 12824 6283 12824 6273 12825 6283 12825 6288 12825 6289 12826 6290 12826 6283 12826 6291 12827 6283 12827 6290 12827 6282 12828 6289 12828 6283 12828 6292 12829 6287 12829 6283 12829 6291 12830 6292 12830 6283 12830 6293 12831 6294 12831 6288 12831 6295 12832 6288 12832 6294 12832 6296 12833 6288 12833 6287 12833 6297 12834 6298 12834 6288 12834 6293 12835 6288 12835 6298 12835 6296 12836 6297 12836 6288 12836 6295 12837 6273 12837 6288 12837 6299 12838 6300 12838 6294 12838 6295 12839 6294 12839 6300 12839 6301 12840 6302 12840 6294 12840 6303 12841 6294 12841 6302 12841 6293 12842 6301 12842 6294 12842 6303 12843 6299 12843 6294 12843 6304 12844 6305 12844 6300 12844 6295 12845 6300 12845 6305 12845 6299 12846 6306 12846 6300 12846 6307 12847 6300 12847 6306 12847 6308 12848 6304 12848 6300 12848 6307 12849 6308 12849 6300 12849 6309 12850 6310 12850 6305 12850 6295 12851 6305 12851 6310 12851 6311 12852 6309 12852 6305 12852 6312 12853 6305 12853 6304 12853 6313 12854 6311 12854 6305 12854 6312 12855 6313 12855 6305 12855 6314 12856 6315 12856 6310 12856 6316 12857 6310 12857 6315 12857 6317 12858 6318 12858 6310 12858 6314 12859 6310 12859 6318 12859 6309 12860 6317 12860 6310 12860 6295 12861 6310 12861 6316 12861 6319 12862 6320 12862 6315 12862 6316 12863 6315 12863 6320 12863 6321 12864 6322 12864 6315 12864 6323 12865 6315 12865 6322 12865 6314 12866 6321 12866 6315 12866 6324 12867 6319 12867 6315 12867 6323 12868 6324 12868 6315 12868 6325 12869 6326 12869 6320 12869 6316 12870 6320 12870 6326 12870 6327 12871 6320 12871 6319 12871 6328 12872 6329 12872 6320 12872 6330 12873 6320 12873 6329 12873 6327 12874 6328 12874 6320 12874 6330 12875 6325 12875 6320 12875 6331 12876 6332 12876 6326 12876 6316 12877 6326 12877 6332 12877 6325 12878 6333 12878 6326 12878 6334 12879 6326 12879 6333 12879 6335 12880 6331 12880 6326 12880 6334 12881 6335 12881 6326 12881 6336 12882 6337 12882 6332 12882 6182 12883 6332 12883 6337 12883 6338 12884 6332 12884 6331 12884 6339 12885 6332 12885 6338 12885 6340 12886 6341 12886 6332 12886 6336 12887 6332 12887 6341 12887 6339 12888 6340 12888 6332 12888 6316 12889 6332 12889 6182 12889 6342 12890 6343 12890 6337 12890 6182 12891 6337 12891 6343 12891 6344 12892 6345 12892 6337 12892 6346 12893 6337 12893 6345 12893 6336 12894 6344 12894 6337 12894 6347 12895 6342 12895 6337 12895 6346 12896 6347 12896 6337 12896 6348 12897 6181 12897 6343 12897 6182 12898 6343 12898 6181 12898 6349 12899 6343 12899 6342 12899 6350 12900 6343 12900 6349 12900 6351 12901 6352 12901 6343 12901 6348 12902 6343 12902 6352 12902 6350 12903 6351 12903 6343 12903 6353 12904 6354 12904 6181 12904 6355 12905 6181 12905 6354 12905 6348 12906 6353 12906 6181 12906 6355 12907 6180 12907 6181 12907 6356 12908 6357 12908 6358 12908 6359 12909 6358 12909 6357 12909 6360 12910 6358 12910 6361 12910 6362 12911 6361 12911 6358 12911 6363 12912 6356 12912 6358 12912 6364 12913 6363 12913 6358 12913 6365 12914 6364 12914 6358 12914 6366 12915 6365 12915 6358 12915 6367 12916 6366 12916 6358 12916 6368 12917 6367 12917 6358 12917 6369 12918 6368 12918 6358 12918 6370 12919 6369 12919 6358 12919 6371 12920 6370 12920 6358 12920 6372 12921 6371 12921 6358 12921 6373 12922 6372 12922 6358 12922 6374 12923 6373 12923 6358 12923 6360 12924 6374 12924 6358 12924 6362 12925 6358 12925 6359 12925 6375 12926 6376 12926 6357 12926 6377 12927 6357 12927 6376 12927 6356 12928 6375 12928 6357 12928 6377 12929 6359 12929 6357 12929 6378 12930 6379 12930 6376 12930 6380 12931 6376 12931 6379 12931 6381 12932 6376 12932 6375 12932 6382 12933 6378 12933 6376 12933 6383 12934 6382 12934 6376 12934 6384 12935 6383 12935 6376 12935 6385 12936 6384 12936 6376 12936 6386 12937 6385 12937 6376 12937 6387 12938 6386 12938 6376 12938 6388 12939 6387 12939 6376 12939 6389 12940 6388 12940 6376 12940 6390 12941 6389 12941 6376 12941 6391 12942 6390 12942 6376 12942 6392 12943 6391 12943 6376 12943 6393 12944 6392 12944 6376 12944 6381 12945 6393 12945 6376 12945 6380 12946 6377 12946 6376 12946 6394 12947 6395 12947 6379 12947 6396 12948 6379 12948 6395 12948 6397 12949 6394 12949 6379 12949 6398 12950 6397 12950 6379 12950 6399 12951 6398 12951 6379 12951 6400 12952 6399 12952 6379 12952 6401 12953 6400 12953 6379 12953 6402 12954 6401 12954 6379 12954 6403 12955 6402 12955 6379 12955 6404 12956 6403 12956 6379 12956 6405 12957 6404 12957 6379 12957 6406 12958 6405 12958 6379 12958 6407 12959 6406 12959 6379 12959 6408 12960 6407 12960 6379 12960 6409 12961 6408 12961 6379 12961 6378 12962 6409 12962 6379 12962 6396 12963 6380 12963 6379 12963 6410 12964 6361 12964 6395 12964 6411 12965 6395 12965 6361 12965 6394 12966 6410 12966 6395 12966 6411 12967 6396 12967 6395 12967 6412 12968 6360 12968 6361 12968 6413 12969 6412 12969 6361 12969 6414 12970 6413 12970 6361 12970 6415 12971 6414 12971 6361 12971 6416 12972 6415 12972 6361 12972 6417 12973 6416 12973 6361 12973 6418 12974 6417 12974 6361 12974 6419 12975 6418 12975 6361 12975 6420 12976 6419 12976 6361 12976 6421 12977 6420 12977 6361 12977 6422 12978 6421 12978 6361 12978 6423 12979 6422 12979 6361 12979 6424 12980 6423 12980 6361 12980 6425 12981 6424 12981 6361 12981 6410 12982 6425 12982 6361 12982 6362 12983 6411 12983 6361 12983 6426 12984 6318 12984 6317 12984 6314 12985 6318 12985 6427 12985 6428 12986 6427 12986 6318 12986 6428 12987 6318 12987 6426 12987 6429 12988 6317 12988 6309 12988 6429 12989 6426 12989 6317 12989 6311 12990 6430 12990 6309 12990 6431 12991 6309 12991 6430 12991 6429 12992 6309 12992 6431 12992 6427 12993 6432 12993 6430 12993 6433 12994 6430 12994 6432 12994 6434 12995 6427 12995 6430 12995 6434 12996 6430 12996 6311 12996 6431 12997 6430 12997 6433 12997 6435 12998 6432 12998 6427 12998 6433 12999 6432 12999 6435 12999 6436 13000 6314 13000 6427 13000 6434 13001 6436 13001 6427 13001 6435 13002 6427 13002 6428 13002 6437 13003 6322 13003 6321 13003 6323 13004 6322 13004 6438 13004 6439 13005 6438 13005 6322 13005 6439 13006 6322 13006 6437 13006 6440 13007 6321 13007 6314 13007 6440 13008 6437 13008 6321 13008 6441 13009 6314 13009 6436 13009 6440 13010 6314 13010 6441 13010 6442 13011 6443 13011 6436 13011 6444 13012 6436 13012 6443 13012 6434 13013 6442 13013 6436 13013 6441 13014 6436 13014 6444 13014 6445 13015 6438 13015 6443 13015 6446 13016 6443 13016 6438 13016 6442 13017 6445 13017 6443 13017 6444 13018 6443 13018 6446 13018 6447 13019 6323 13019 6438 13019 6448 13020 6447 13020 6438 13020 6445 13021 6448 13021 6438 13021 6446 13022 6438 13022 6439 13022 6449 13023 6319 13023 6324 13023 6327 13024 6319 13024 6450 13024 6451 13025 6450 13025 6319 13025 6451 13026 6319 13026 6449 13026 6452 13027 6324 13027 6323 13027 6452 13028 6449 13028 6324 13028 6453 13029 6323 13029 6447 13029 6452 13030 6323 13030 6453 13030 6454 13031 6455 13031 6447 13031 6456 13032 6447 13032 6455 13032 6448 13033 6457 13033 6447 13033 6454 13034 6447 13034 6457 13034 6453 13035 6447 13035 6456 13035 6458 13036 6450 13036 6455 13036 6459 13037 6455 13037 6450 13037 6454 13038 6458 13038 6455 13038 6456 13039 6455 13039 6459 13039 6460 13040 6327 13040 6450 13040 6458 13041 6460 13041 6450 13041 6459 13042 6450 13042 6451 13042 6461 13043 6329 13043 6328 13043 6330 13044 6329 13044 6462 13044 6463 13045 6462 13045 6329 13045 6463 13046 6329 13046 6461 13046 6464 13047 6328 13047 6327 13047 6464 13048 6461 13048 6328 13048 6465 13049 6327 13049 6460 13049 6464 13050 6327 13050 6465 13050 6458 13051 6466 13051 6460 13051 6467 13052 6460 13052 6466 13052 6465 13053 6460 13053 6467 13053 6458 13054 6462 13054 6466 13054 6468 13055 6466 13055 6462 13055 6467 13056 6466 13056 6468 13056 6469 13057 6330 13057 6462 13057 6458 13058 6469 13058 6462 13058 6468 13059 6462 13059 6463 13059 6470 13060 6333 13060 6325 13060 6334 13061 6333 13061 6471 13061 6472 13062 6471 13062 6333 13062 6472 13063 6333 13063 6470 13063 6473 13064 6325 13064 6330 13064 6473 13065 6470 13065 6325 13065 6474 13066 6330 13066 6469 13066 6473 13067 6330 13067 6474 13067 6458 13068 6475 13068 6469 13068 6476 13069 6469 13069 6475 13069 6474 13070 6469 13070 6476 13070 6458 13071 6471 13071 6475 13071 6477 13072 6475 13072 6471 13072 6476 13073 6475 13073 6477 13073 6478 13074 6334 13074 6471 13074 6458 13075 6478 13075 6471 13075 6477 13076 6471 13076 6472 13076 6479 13077 6331 13077 6335 13077 6480 13078 6338 13078 6331 13078 6480 13079 6331 13079 6479 13079 6481 13080 6335 13080 6334 13080 6481 13081 6479 13081 6335 13081 6482 13082 6334 13082 6478 13082 6481 13083 6334 13083 6482 13083 6458 13084 6483 13084 6478 13084 6484 13085 6478 13085 6483 13085 6482 13086 6478 13086 6484 13086 6458 13087 6338 13087 6483 13087 6485 13088 6483 13088 6338 13088 6484 13089 6483 13089 6485 13089 6486 13090 6339 13090 6338 13090 6458 13091 6486 13091 6338 13091 6485 13092 6338 13092 6480 13092 6487 13093 6341 13093 6340 13093 6336 13094 6341 13094 6488 13094 6489 13095 6488 13095 6341 13095 6489 13096 6341 13096 6487 13096 6490 13097 6340 13097 6339 13097 6490 13098 6487 13098 6340 13098 6491 13099 6339 13099 6486 13099 6490 13100 6339 13100 6491 13100 6458 13101 6492 13101 6486 13101 6493 13102 6486 13102 6492 13102 6491 13103 6486 13103 6493 13103 6494 13104 6488 13104 6492 13104 6495 13105 6492 13105 6488 13105 6458 13106 6494 13106 6492 13106 6493 13107 6492 13107 6495 13107 6496 13108 6336 13108 6488 13108 6494 13109 6496 13109 6488 13109 6495 13110 6488 13110 6489 13110 6497 13111 6345 13111 6344 13111 6346 13112 6345 13112 6498 13112 6499 13113 6498 13113 6345 13113 6499 13114 6345 13114 6497 13114 6500 13115 6344 13115 6336 13115 6500 13116 6497 13116 6344 13116 6501 13117 6336 13117 6496 13117 6500 13118 6336 13118 6501 13118 6494 13119 6502 13119 6496 13119 6503 13120 6496 13120 6502 13120 6501 13121 6496 13121 6503 13121 6494 13122 6498 13122 6502 13122 6504 13123 6502 13123 6498 13123 6503 13124 6502 13124 6504 13124 6505 13125 6346 13125 6498 13125 6494 13126 6505 13126 6498 13126 6504 13127 6498 13127 6499 13127 6506 13128 6342 13128 6347 13128 6507 13129 6349 13129 6342 13129 6507 13130 6342 13130 6506 13130 6508 13131 6347 13131 6346 13131 6508 13132 6506 13132 6347 13132 6509 13133 6346 13133 6505 13133 6508 13134 6346 13134 6509 13134 6494 13135 6510 13135 6505 13135 6511 13136 6505 13136 6510 13136 6509 13137 6505 13137 6511 13137 6494 13138 6349 13138 6510 13138 6512 13139 6510 13139 6349 13139 6511 13140 6510 13140 6512 13140 6513 13141 6350 13141 6349 13141 6494 13142 6513 13142 6349 13142 6512 13143 6349 13143 6507 13143 6514 13144 6352 13144 6351 13144 6348 13145 6352 13145 6515 13145 6516 13146 6515 13146 6352 13146 6516 13147 6352 13147 6514 13147 6517 13148 6351 13148 6350 13148 6517 13149 6514 13149 6351 13149 6518 13150 6350 13150 6513 13150 6517 13151 6350 13151 6518 13151 6494 13152 6519 13152 6513 13152 6520 13153 6513 13153 6519 13153 6518 13154 6513 13154 6520 13154 6494 13155 6515 13155 6519 13155 6521 13156 6519 13156 6515 13156 6520 13157 6519 13157 6521 13157 6522 13158 6348 13158 6515 13158 6494 13159 6522 13159 6515 13159 6521 13160 6515 13160 6516 13160 6523 13161 6354 13161 6353 13161 6355 13162 6354 13162 6524 13162 6525 13163 6524 13163 6354 13163 6525 13164 6354 13164 6523 13164 6526 13165 6353 13165 6348 13165 6526 13166 6523 13166 6353 13166 6527 13167 6348 13167 6522 13167 6526 13168 6348 13168 6527 13168 6494 13169 6528 13169 6522 13169 6529 13170 6522 13170 6528 13170 6527 13171 6522 13171 6529 13171 6494 13172 6524 13172 6528 13172 6530 13173 6528 13173 6524 13173 6529 13174 6528 13174 6530 13174 6531 13175 6355 13175 6524 13175 6494 13176 6531 13176 6524 13176 6530 13177 6524 13177 6525 13177 6532 13178 6183 13178 6180 13178 6533 13179 6183 13179 6534 13179 6535 13180 6534 13180 6183 13180 6533 13181 6184 13181 6183 13181 6535 13182 6183 13182 6532 13182 6536 13183 6180 13183 6355 13183 6536 13184 6532 13184 6180 13184 6537 13185 6355 13185 6531 13185 6536 13186 6355 13186 6537 13186 6494 13187 6538 13187 6531 13187 6539 13188 6531 13188 6538 13188 6537 13189 6531 13189 6539 13189 6494 13190 6534 13190 6538 13190 6540 13191 6538 13191 6534 13191 6539 13192 6538 13192 6540 13192 6541 13193 6533 13193 6534 13193 6494 13194 6541 13194 6534 13194 6540 13195 6534 13195 6535 13195 6542 13196 6176 13196 6185 13196 6188 13197 6176 13197 6543 13197 6544 13198 6543 13198 6176 13198 6544 13199 6176 13199 6542 13199 6545 13200 6185 13200 6184 13200 6545 13201 6542 13201 6185 13201 6546 13202 6184 13202 6533 13202 6545 13203 6184 13203 6546 13203 6541 13204 6547 13204 6533 13204 6548 13205 6533 13205 6547 13205 6546 13206 6533 13206 6548 13206 6541 13207 6543 13207 6547 13207 6549 13208 6547 13208 6543 13208 6548 13209 6547 13209 6549 13209 6541 13210 6188 13210 6543 13210 6549 13211 6543 13211 6544 13211 6550 13212 6190 13212 6189 13212 6551 13213 6190 13213 6552 13213 6553 13214 6552 13214 6190 13214 6551 13215 6191 13215 6190 13215 6553 13216 6190 13216 6550 13216 6554 13217 6189 13217 6192 13217 6554 13218 6550 13218 6189 13218 6555 13219 6192 13219 6188 13219 6554 13220 6192 13220 6555 13220 6541 13221 6556 13221 6188 13221 6557 13222 6188 13222 6556 13222 6555 13223 6188 13223 6557 13223 6541 13224 6552 13224 6556 13224 6558 13225 6556 13225 6552 13225 6557 13226 6556 13226 6558 13226 6541 13227 6551 13227 6552 13227 6558 13228 6552 13228 6553 13228 6559 13229 6195 13229 6186 13229 6560 13230 6195 13230 6561 13230 6562 13231 6561 13231 6195 13231 6560 13232 6196 13232 6195 13232 6562 13233 6195 13233 6559 13233 6563 13234 6186 13234 6191 13234 6563 13235 6559 13235 6186 13235 6564 13236 6191 13236 6551 13236 6563 13237 6191 13237 6564 13237 6541 13238 6565 13238 6551 13238 6566 13239 6551 13239 6565 13239 6564 13240 6551 13240 6566 13240 6541 13241 6561 13241 6565 13241 6567 13242 6565 13242 6561 13242 6566 13243 6565 13243 6567 13243 6541 13244 6560 13244 6561 13244 6567 13245 6561 13245 6562 13245 6568 13246 6193 13246 6197 13246 6569 13247 6193 13247 6570 13247 6571 13248 6570 13248 6193 13248 6569 13249 6200 13249 6193 13249 6571 13250 6193 13250 6568 13250 6572 13251 6197 13251 6196 13251 6572 13252 6568 13252 6197 13252 6573 13253 6196 13253 6560 13253 6572 13254 6196 13254 6573 13254 6541 13255 6574 13255 6560 13255 6575 13256 6560 13256 6574 13256 6573 13257 6560 13257 6575 13257 6541 13258 6570 13258 6574 13258 6576 13259 6574 13259 6570 13259 6575 13260 6574 13260 6576 13260 6541 13261 6569 13261 6570 13261 6576 13262 6570 13262 6571 13262 6577 13263 6202 13263 6201 13263 6578 13264 6202 13264 6579 13264 6580 13265 6579 13265 6202 13265 6578 13266 6198 13266 6202 13266 6580 13267 6202 13267 6577 13267 6581 13268 6201 13268 6200 13268 6581 13269 6577 13269 6201 13269 6582 13270 6200 13270 6569 13270 6581 13271 6200 13271 6582 13271 6541 13272 6583 13272 6569 13272 6584 13273 6569 13273 6583 13273 6582 13274 6569 13274 6584 13274 6541 13275 6579 13275 6583 13275 6585 13276 6583 13276 6579 13276 6584 13277 6583 13277 6585 13277 6541 13278 6578 13278 6579 13278 6585 13279 6579 13279 6580 13279 6586 13280 6207 13280 6206 13280 6587 13281 6207 13281 6588 13281 6589 13282 6588 13282 6207 13282 6587 13283 6208 13283 6207 13283 6589 13284 6207 13284 6586 13284 6590 13285 6206 13285 6198 13285 6590 13286 6586 13286 6206 13286 6591 13287 6198 13287 6578 13287 6590 13288 6198 13288 6591 13288 6541 13289 6592 13289 6578 13289 6593 13290 6578 13290 6592 13290 6591 13291 6578 13291 6593 13291 6594 13292 6588 13292 6592 13292 6595 13293 6592 13293 6588 13293 6541 13294 6594 13294 6592 13294 6593 13295 6592 13295 6595 13295 6594 13296 6587 13296 6588 13296 6595 13297 6588 13297 6589 13297 6596 13298 6211 13298 6203 13298 6597 13299 6211 13299 6598 13299 6599 13300 6598 13300 6211 13300 6597 13301 6212 13301 6211 13301 6599 13302 6211 13302 6596 13302 6600 13303 6203 13303 6208 13303 6600 13304 6596 13304 6203 13304 6601 13305 6208 13305 6587 13305 6600 13306 6208 13306 6601 13306 6594 13307 6602 13307 6587 13307 6603 13308 6587 13308 6602 13308 6601 13309 6587 13309 6603 13309 6594 13310 6598 13310 6602 13310 6604 13311 6602 13311 6598 13311 6603 13312 6602 13312 6604 13312 6594 13313 6597 13313 6598 13313 6604 13314 6598 13314 6599 13314 6605 13315 6214 13315 6213 13315 6606 13316 6214 13316 6607 13316 6608 13317 6607 13317 6214 13317 6606 13318 6209 13318 6214 13318 6608 13319 6214 13319 6605 13319 6609 13320 6213 13320 6212 13320 6609 13321 6605 13321 6213 13321 6610 13322 6212 13322 6597 13322 6609 13323 6212 13323 6610 13323 6594 13324 6611 13324 6597 13324 6612 13325 6597 13325 6611 13325 6610 13326 6597 13326 6612 13326 6594 13327 6607 13327 6611 13327 6613 13328 6611 13328 6607 13328 6612 13329 6611 13329 6613 13329 6594 13330 6606 13330 6607 13330 6613 13331 6607 13331 6608 13331 6614 13332 6218 13332 6217 13332 6615 13333 6218 13333 6616 13333 6617 13334 6616 13334 6218 13334 6615 13335 6219 13335 6218 13335 6617 13336 6218 13336 6614 13336 6618 13337 6217 13337 6209 13337 6618 13338 6614 13338 6217 13338 6619 13339 6209 13339 6606 13339 6618 13340 6209 13340 6619 13340 6594 13341 6620 13341 6606 13341 6621 13342 6606 13342 6620 13342 6619 13343 6606 13343 6621 13343 6594 13344 6616 13344 6620 13344 6622 13345 6620 13345 6616 13345 6621 13346 6620 13346 6622 13346 6594 13347 6615 13347 6616 13347 6622 13348 6616 13348 6617 13348 6623 13349 6222 13349 6215 13349 6624 13350 6222 13350 6625 13350 6626 13351 6625 13351 6222 13351 6624 13352 6223 13352 6222 13352 6626 13353 6222 13353 6623 13353 6627 13354 6215 13354 6219 13354 6627 13355 6623 13355 6215 13355 6628 13356 6219 13356 6615 13356 6627 13357 6219 13357 6628 13357 6629 13358 6630 13358 6615 13358 6631 13359 6615 13359 6630 13359 6632 13360 6629 13360 6615 13360 6594 13361 6632 13361 6615 13361 6628 13362 6615 13362 6631 13362 6633 13363 6625 13363 6630 13363 6634 13364 6630 13364 6625 13364 6629 13365 6633 13365 6630 13365 6631 13366 6630 13366 6634 13366 6635 13367 6624 13367 6625 13367 6633 13368 6635 13368 6625 13368 6634 13369 6625 13369 6626 13369 6636 13370 6220 13370 6224 13370 6228 13371 6220 13371 6637 13371 6638 13372 6637 13372 6220 13372 6638 13373 6220 13373 6636 13373 6639 13374 6224 13374 6223 13374 6639 13375 6636 13375 6224 13375 6640 13376 6223 13376 6624 13376 6639 13377 6223 13377 6640 13377 6641 13378 6642 13378 6624 13378 6643 13379 6624 13379 6642 13379 6635 13380 6641 13380 6624 13380 6640 13381 6624 13381 6643 13381 6644 13382 6637 13382 6642 13382 6645 13383 6642 13383 6637 13383 6641 13384 6644 13384 6642 13384 6643 13385 6642 13385 6645 13385 6644 13386 6228 13386 6637 13386 6645 13387 6637 13387 6638 13387 6646 13388 6231 13388 6225 13388 6232 13389 6231 13389 6635 13389 6647 13390 6635 13390 6231 13390 6647 13391 6231 13391 6646 13391 6648 13392 6225 13392 6228 13392 6648 13393 6646 13393 6225 13393 6649 13394 6228 13394 6644 13394 6648 13395 6228 13395 6649 13395 6650 13396 6644 13396 6641 13396 6649 13397 6644 13397 6650 13397 6651 13398 6641 13398 6635 13398 6650 13399 6641 13399 6651 13399 6633 13400 6232 13400 6635 13400 6651 13401 6635 13401 6647 13401 6652 13402 6234 13402 6233 13402 6235 13403 6234 13403 6632 13403 6653 13404 6632 13404 6234 13404 6653 13405 6234 13405 6652 13405 6654 13406 6233 13406 6232 13406 6654 13407 6652 13407 6233 13407 6655 13408 6232 13408 6633 13408 6654 13409 6232 13409 6655 13409 6656 13410 6633 13410 6629 13410 6655 13411 6633 13411 6656 13411 6657 13412 6629 13412 6632 13412 6656 13413 6629 13413 6657 13413 6658 13414 6235 13414 6632 13414 6594 13415 6658 13415 6632 13415 6657 13416 6632 13416 6653 13416 6659 13417 6238 13417 6229 13417 6239 13418 6238 13418 6660 13418 6661 13419 6660 13419 6238 13419 6661 13420 6238 13420 6659 13420 6662 13421 6229 13421 6235 13421 6662 13422 6659 13422 6229 13422 6663 13423 6235 13423 6658 13423 6662 13424 6235 13424 6663 13424 6664 13425 6665 13425 6658 13425 6666 13426 6658 13426 6665 13426 6664 13427 6658 13427 6594 13427 6663 13428 6658 13428 6666 13428 6664 13429 6660 13429 6665 13429 6667 13430 6665 13430 6660 13430 6666 13431 6665 13431 6667 13431 6668 13432 6239 13432 6660 13432 6664 13433 6668 13433 6660 13433 6667 13434 6660 13434 6661 13434 6669 13435 6236 13435 6240 13435 6243 13436 6236 13436 6670 13436 6671 13437 6670 13437 6236 13437 6671 13438 6236 13438 6669 13438 6672 13439 6240 13439 6239 13439 6672 13440 6669 13440 6240 13440 6673 13441 6239 13441 6668 13441 6672 13442 6239 13442 6673 13442 6664 13443 6674 13443 6668 13443 6675 13444 6668 13444 6674 13444 6673 13445 6668 13445 6675 13445 6664 13446 6670 13446 6674 13446 6676 13447 6674 13447 6670 13447 6675 13448 6674 13448 6676 13448 6677 13449 6243 13449 6670 13449 6664 13450 6677 13450 6670 13450 6676 13451 6670 13451 6671 13451 6678 13452 6245 13452 6244 13452 6246 13453 6245 13453 6679 13453 6680 13454 6679 13454 6245 13454 6680 13455 6245 13455 6678 13455 6681 13456 6244 13456 6243 13456 6681 13457 6678 13457 6244 13457 6682 13458 6243 13458 6677 13458 6681 13459 6243 13459 6682 13459 6664 13460 6683 13460 6677 13460 6684 13461 6677 13461 6683 13461 6682 13462 6677 13462 6684 13462 6664 13463 6679 13463 6683 13463 6685 13464 6683 13464 6679 13464 6684 13465 6683 13465 6685 13465 6686 13466 6246 13466 6679 13466 6664 13467 6686 13467 6679 13467 6685 13468 6679 13468 6680 13468 6687 13469 6250 13469 6241 13469 6251 13470 6250 13470 6688 13470 6689 13471 6688 13471 6250 13471 6689 13472 6250 13472 6687 13472 6690 13473 6241 13473 6246 13473 6690 13474 6687 13474 6241 13474 6691 13475 6246 13475 6686 13475 6690 13476 6246 13476 6691 13476 6664 13477 6692 13477 6686 13477 6693 13478 6686 13478 6692 13478 6691 13479 6686 13479 6693 13479 6664 13480 6688 13480 6692 13480 6694 13481 6692 13481 6688 13481 6693 13482 6692 13482 6694 13482 6695 13483 6251 13483 6688 13483 6696 13484 6695 13484 6688 13484 6664 13485 6696 13485 6688 13485 6694 13486 6688 13486 6689 13486 6697 13487 6247 13487 6252 13487 6698 13488 6255 13488 6247 13488 6698 13489 6247 13489 6697 13489 6699 13490 6252 13490 6251 13490 6699 13491 6697 13491 6252 13491 6700 13492 6251 13492 6695 13492 6699 13493 6251 13493 6700 13493 6696 13494 6701 13494 6695 13494 6702 13495 6695 13495 6701 13495 6700 13496 6695 13496 6702 13496 6696 13497 6255 13497 6701 13497 6703 13498 6701 13498 6255 13498 6702 13499 6701 13499 6703 13499 6704 13500 6256 13500 6255 13500 6696 13501 6704 13501 6255 13501 6703 13502 6255 13502 6698 13502 6705 13503 6258 13503 6257 13503 6253 13504 6258 13504 6706 13504 6707 13505 6706 13505 6258 13505 6707 13506 6258 13506 6705 13506 6708 13507 6257 13507 6256 13507 6708 13508 6705 13508 6257 13508 6709 13509 6256 13509 6704 13509 6708 13510 6256 13510 6709 13510 6696 13511 6710 13511 6704 13511 6711 13512 6704 13512 6710 13512 6709 13513 6704 13513 6711 13513 6696 13514 6706 13514 6710 13514 6712 13515 6710 13515 6706 13515 6711 13516 6710 13516 6712 13516 6713 13517 6253 13517 6706 13517 6696 13518 6713 13518 6706 13518 6712 13519 6706 13519 6707 13519 6714 13520 6262 13520 6261 13520 6263 13521 6262 13521 6715 13521 6716 13522 6715 13522 6262 13522 6716 13523 6262 13523 6714 13523 6717 13524 6261 13524 6253 13524 6717 13525 6714 13525 6261 13525 6718 13526 6253 13526 6713 13526 6717 13527 6253 13527 6718 13527 6696 13528 6719 13528 6713 13528 6720 13529 6713 13529 6719 13529 6718 13530 6713 13530 6720 13530 6696 13531 6715 13531 6719 13531 6721 13532 6719 13532 6715 13532 6720 13533 6719 13533 6721 13533 6722 13534 6263 13534 6715 13534 6696 13535 6722 13535 6715 13535 6721 13536 6715 13536 6716 13536 6723 13537 6264 13537 6260 13537 6724 13538 6267 13538 6264 13538 6724 13539 6264 13539 6723 13539 6725 13540 6260 13540 6263 13540 6725 13541 6723 13541 6260 13541 6726 13542 6263 13542 6722 13542 6725 13543 6263 13543 6726 13543 6696 13544 6727 13544 6722 13544 6728 13545 6722 13545 6727 13545 6726 13546 6722 13546 6728 13546 6696 13547 6267 13547 6727 13547 6729 13548 6727 13548 6267 13548 6728 13549 6727 13549 6729 13549 6730 13550 6268 13550 6267 13550 6696 13551 6730 13551 6267 13551 6729 13552 6267 13552 6724 13552 6731 13553 6270 13553 6269 13553 6732 13554 6270 13554 6733 13554 6734 13555 6733 13555 6270 13555 6732 13556 6265 13556 6270 13556 6734 13557 6270 13557 6731 13557 6735 13558 6269 13558 6268 13558 6735 13559 6731 13559 6269 13559 6736 13560 6268 13560 6730 13560 6735 13561 6268 13561 6736 13561 6696 13562 6737 13562 6730 13562 6738 13563 6730 13563 6737 13563 6736 13564 6730 13564 6738 13564 6696 13565 6733 13565 6737 13565 6739 13566 6737 13566 6733 13566 6738 13567 6737 13567 6739 13567 6696 13568 6732 13568 6733 13568 6739 13569 6733 13569 6734 13569 6740 13570 6275 13570 6274 13570 6741 13571 6275 13571 6742 13571 6743 13572 6742 13572 6275 13572 6741 13573 6276 13573 6275 13573 6743 13574 6275 13574 6740 13574 6744 13575 6274 13575 6265 13575 6744 13576 6740 13576 6274 13576 6745 13577 6265 13577 6732 13577 6744 13578 6265 13578 6745 13578 6696 13579 6746 13579 6732 13579 6747 13580 6732 13580 6746 13580 6745 13581 6732 13581 6747 13581 6748 13582 6742 13582 6746 13582 6749 13583 6746 13583 6742 13583 6696 13584 6748 13584 6746 13584 6747 13585 6746 13585 6749 13585 6748 13586 6741 13586 6742 13586 6749 13587 6742 13587 6743 13587 6750 13588 6279 13588 6271 13588 6751 13589 6279 13589 6752 13589 6753 13590 6752 13590 6279 13590 6751 13591 6280 13591 6279 13591 6753 13592 6279 13592 6750 13592 6754 13593 6271 13593 6276 13593 6754 13594 6750 13594 6271 13594 6755 13595 6276 13595 6741 13595 6754 13596 6276 13596 6755 13596 6748 13597 6756 13597 6741 13597 6757 13598 6741 13598 6756 13598 6755 13599 6741 13599 6757 13599 6748 13600 6752 13600 6756 13600 6758 13601 6756 13601 6752 13601 6757 13602 6756 13602 6758 13602 6748 13603 6751 13603 6752 13603 6758 13604 6752 13604 6753 13604 6759 13605 6277 13605 6281 13605 6760 13606 6277 13606 6761 13606 6762 13607 6761 13607 6277 13607 6760 13608 6284 13608 6277 13608 6762 13609 6277 13609 6759 13609 6763 13610 6281 13610 6280 13610 6763 13611 6759 13611 6281 13611 6764 13612 6280 13612 6751 13612 6763 13613 6280 13613 6764 13613 6748 13614 6765 13614 6751 13614 6766 13615 6751 13615 6765 13615 6764 13616 6751 13616 6766 13616 6748 13617 6761 13617 6765 13617 6767 13618 6765 13618 6761 13618 6766 13619 6765 13619 6767 13619 6748 13620 6760 13620 6761 13620 6767 13621 6761 13621 6762 13621 6768 13622 6286 13622 6285 13622 6769 13623 6286 13623 6770 13623 6771 13624 6770 13624 6286 13624 6769 13625 6282 13625 6286 13625 6771 13626 6286 13626 6768 13626 6772 13627 6285 13627 6284 13627 6772 13628 6768 13628 6285 13628 6773 13629 6284 13629 6760 13629 6772 13630 6284 13630 6773 13630 6748 13631 6774 13631 6760 13631 6775 13632 6760 13632 6774 13632 6773 13633 6760 13633 6775 13633 6748 13634 6770 13634 6774 13634 6776 13635 6774 13635 6770 13635 6775 13636 6774 13636 6776 13636 6748 13637 6769 13637 6770 13637 6776 13638 6770 13638 6771 13638 6777 13639 6290 13639 6289 13639 6778 13640 6290 13640 6779 13640 6780 13641 6779 13641 6290 13641 6778 13642 6291 13642 6290 13642 6780 13643 6290 13643 6777 13643 6781 13644 6289 13644 6282 13644 6781 13645 6777 13645 6289 13645 6782 13646 6282 13646 6769 13646 6781 13647 6282 13647 6782 13647 6748 13648 6783 13648 6769 13648 6784 13649 6769 13649 6783 13649 6782 13650 6769 13650 6784 13650 6748 13651 6779 13651 6783 13651 6785 13652 6783 13652 6779 13652 6784 13653 6783 13653 6785 13653 6748 13654 6778 13654 6779 13654 6785 13655 6779 13655 6780 13655 6786 13656 6287 13656 6292 13656 6787 13657 6287 13657 6788 13657 6789 13658 6788 13658 6287 13658 6787 13659 6296 13659 6287 13659 6789 13660 6287 13660 6786 13660 6790 13661 6292 13661 6291 13661 6790 13662 6786 13662 6292 13662 6791 13663 6291 13663 6778 13663 6790 13664 6291 13664 6791 13664 6748 13665 6792 13665 6778 13665 6793 13666 6778 13666 6792 13666 6791 13667 6778 13667 6793 13667 6748 13668 6788 13668 6792 13668 6794 13669 6792 13669 6788 13669 6793 13670 6792 13670 6794 13670 6454 13671 6787 13671 6788 13671 6748 13672 6454 13672 6788 13672 6794 13673 6788 13673 6789 13673 6795 13674 6298 13674 6297 13674 6796 13675 6298 13675 6797 13675 6798 13676 6797 13676 6298 13676 6796 13677 6293 13677 6298 13677 6798 13678 6298 13678 6795 13678 6799 13679 6297 13679 6296 13679 6799 13680 6795 13680 6297 13680 6800 13681 6296 13681 6787 13681 6799 13682 6296 13682 6800 13682 6454 13683 6801 13683 6787 13683 6802 13684 6787 13684 6801 13684 6800 13685 6787 13685 6802 13685 6454 13686 6797 13686 6801 13686 6803 13687 6801 13687 6797 13687 6802 13688 6801 13688 6803 13688 6454 13689 6796 13689 6797 13689 6803 13690 6797 13690 6798 13690 6804 13691 6302 13691 6301 13691 6805 13692 6302 13692 6806 13692 6807 13693 6806 13693 6302 13693 6805 13694 6303 13694 6302 13694 6807 13695 6302 13695 6804 13695 6808 13696 6301 13696 6293 13696 6808 13697 6804 13697 6301 13697 6809 13698 6293 13698 6796 13698 6808 13699 6293 13699 6809 13699 6454 13700 6810 13700 6796 13700 6811 13701 6796 13701 6810 13701 6809 13702 6796 13702 6811 13702 6454 13703 6806 13703 6810 13703 6812 13704 6810 13704 6806 13704 6811 13705 6810 13705 6812 13705 6454 13706 6805 13706 6806 13706 6812 13707 6806 13707 6807 13707 6813 13708 6306 13708 6299 13708 6814 13709 6306 13709 6815 13709 6816 13710 6815 13710 6306 13710 6814 13711 6307 13711 6306 13711 6816 13712 6306 13712 6813 13712 6817 13713 6299 13713 6303 13713 6817 13714 6813 13714 6299 13714 6818 13715 6303 13715 6805 13715 6817 13716 6303 13716 6818 13716 6454 13717 6819 13717 6805 13717 6820 13718 6805 13718 6819 13718 6818 13719 6805 13719 6820 13719 6454 13720 6815 13720 6819 13720 6821 13721 6819 13721 6815 13721 6820 13722 6819 13722 6821 13722 6454 13723 6814 13723 6815 13723 6821 13724 6815 13724 6816 13724 6822 13725 6304 13725 6308 13725 6445 13726 6304 13726 6448 13726 6823 13727 6448 13727 6304 13727 6445 13728 6312 13728 6304 13728 6823 13729 6304 13729 6822 13729 6824 13730 6308 13730 6307 13730 6824 13731 6822 13731 6308 13731 6825 13732 6307 13732 6814 13732 6824 13733 6307 13733 6825 13733 6454 13734 6457 13734 6814 13734 6826 13735 6814 13735 6457 13735 6825 13736 6814 13736 6826 13736 6827 13737 6457 13737 6448 13737 6826 13738 6457 13738 6827 13738 6827 13739 6448 13739 6823 13739 6828 13740 6311 13740 6313 13740 6829 13741 6434 13741 6311 13741 6829 13742 6311 13742 6828 13742 6830 13743 6313 13743 6312 13743 6830 13744 6828 13744 6313 13744 6831 13745 6312 13745 6445 13745 6830 13746 6312 13746 6831 13746 6832 13747 6445 13747 6442 13747 6831 13748 6445 13748 6832 13748 6833 13749 6442 13749 6434 13749 6832 13750 6442 13750 6833 13750 6833 13751 6434 13751 6829 13751 6834 13752 6835 13752 6836 13752 6837 13753 6836 13753 6835 13753 6838 13754 6836 13754 6839 13754 6840 13755 6839 13755 6836 13755 6834 13756 6836 13756 6838 13756 6840 13757 6836 13757 6837 13757 6834 13758 6841 13758 6835 13758 6842 13759 6835 13759 6841 13759 6842 13760 6837 13760 6835 13760 6843 13761 6844 13761 6841 13761 6845 13762 6841 13762 6844 13762 6834 13763 6843 13763 6841 13763 6842 13764 6841 13764 6845 13764 6839 13765 6846 13765 6844 13765 6847 13766 6844 13766 6846 13766 6848 13767 6839 13767 6844 13767 6848 13768 6844 13768 6843 13768 6845 13769 6844 13769 6847 13769 6849 13770 6846 13770 6839 13770 6847 13771 6846 13771 6849 13771 6850 13772 6838 13772 6839 13772 6848 13773 6850 13773 6839 13773 6849 13774 6839 13774 6840 13774 6834 13775 6851 13775 6852 13775 6853 13776 6852 13776 6851 13776 6854 13777 6852 13777 6855 13777 6856 13778 6855 13778 6852 13778 6834 13779 6852 13779 6854 13779 6856 13780 6852 13780 6853 13780 6834 13781 6838 13781 6851 13781 6857 13782 6851 13782 6838 13782 6857 13783 6853 13783 6851 13783 6858 13784 6838 13784 6850 13784 6857 13785 6838 13785 6858 13785 6859 13786 6860 13786 6850 13786 6861 13787 6850 13787 6860 13787 6848 13788 6859 13788 6850 13788 6858 13789 6850 13789 6861 13789 6862 13790 6855 13790 6860 13790 6863 13791 6860 13791 6855 13791 6859 13792 6862 13792 6860 13792 6861 13793 6860 13793 6863 13793 6864 13794 6854 13794 6855 13794 6865 13795 6864 13795 6855 13795 6862 13796 6865 13796 6855 13796 6863 13797 6855 13797 6856 13797 6834 13798 6866 13798 6867 13798 6868 13799 6867 13799 6866 13799 6869 13800 6867 13800 6870 13800 6871 13801 6870 13801 6867 13801 6834 13802 6867 13802 6869 13802 6871 13803 6867 13803 6868 13803 6834 13804 6854 13804 6866 13804 6872 13805 6866 13805 6854 13805 6872 13806 6868 13806 6866 13806 6873 13807 6854 13807 6864 13807 6872 13808 6854 13808 6873 13808 6874 13809 6875 13809 6864 13809 6876 13810 6864 13810 6875 13810 6865 13811 6874 13811 6864 13811 6873 13812 6864 13812 6876 13812 6877 13813 6870 13813 6875 13813 6878 13814 6875 13814 6870 13814 6874 13815 6877 13815 6875 13815 6876 13816 6875 13816 6878 13816 6879 13817 6869 13817 6870 13817 6880 13818 6879 13818 6870 13818 6877 13819 6880 13819 6870 13819 6878 13820 6870 13820 6871 13820 6881 13821 6882 13821 6883 13821 6884 13822 6883 13822 6882 13822 6885 13823 6883 13823 6886 13823 6887 13824 6886 13824 6883 13824 6881 13825 6883 13825 6885 13825 6887 13826 6883 13826 6884 13826 6834 13827 6869 13827 6882 13827 6888 13828 6882 13828 6869 13828 6881 13829 6834 13829 6882 13829 6888 13830 6884 13830 6882 13830 6889 13831 6869 13831 6879 13831 6888 13832 6869 13832 6889 13832 6890 13833 6891 13833 6879 13833 6892 13834 6879 13834 6891 13834 6880 13835 6890 13835 6879 13835 6889 13836 6879 13836 6892 13836 6893 13837 6886 13837 6891 13837 6894 13838 6891 13838 6886 13838 6890 13839 6893 13839 6891 13839 6892 13840 6891 13840 6894 13840 6895 13841 6885 13841 6886 13841 6896 13842 6895 13842 6886 13842 6893 13843 6896 13843 6886 13843 6894 13844 6886 13844 6887 13844 6881 13845 6897 13845 6898 13845 6899 13846 6898 13846 6897 13846 6900 13847 6898 13847 6901 13847 6902 13848 6901 13848 6898 13848 6881 13849 6898 13849 6900 13849 6902 13850 6898 13850 6899 13850 6881 13851 6885 13851 6897 13851 6903 13852 6897 13852 6885 13852 6903 13853 6899 13853 6897 13853 6904 13854 6885 13854 6895 13854 6903 13855 6885 13855 6904 13855 6905 13856 6906 13856 6895 13856 6907 13857 6895 13857 6906 13857 6896 13858 6905 13858 6895 13858 6904 13859 6895 13859 6907 13859 6908 13860 6901 13860 6906 13860 6909 13861 6906 13861 6901 13861 6905 13862 6908 13862 6906 13862 6907 13863 6906 13863 6909 13863 6910 13864 6900 13864 6901 13864 6911 13865 6910 13865 6901 13865 6908 13866 6911 13866 6901 13866 6909 13867 6901 13867 6902 13867 6881 13868 6912 13868 6913 13868 6914 13869 6913 13869 6912 13869 6915 13870 6913 13870 6916 13870 6917 13871 6916 13871 6913 13871 6881 13872 6913 13872 6915 13872 6917 13873 6913 13873 6914 13873 6881 13874 6900 13874 6912 13874 6918 13875 6912 13875 6900 13875 6918 13876 6914 13876 6912 13876 6919 13877 6900 13877 6910 13877 6918 13878 6900 13878 6919 13878 6920 13879 6921 13879 6910 13879 6922 13880 6910 13880 6921 13880 6911 13881 6920 13881 6910 13881 6919 13882 6910 13882 6922 13882 6923 13883 6916 13883 6921 13883 6924 13884 6921 13884 6916 13884 6920 13885 6923 13885 6921 13885 6922 13886 6921 13886 6924 13886 6925 13887 6915 13887 6916 13887 6926 13888 6925 13888 6916 13888 6923 13889 6926 13889 6916 13889 6924 13890 6916 13890 6917 13890 6881 13891 6927 13891 6928 13891 6929 13892 6928 13892 6927 13892 6930 13893 6928 13893 6931 13893 6932 13894 6931 13894 6928 13894 6881 13895 6928 13895 6930 13895 6932 13896 6928 13896 6929 13896 6881 13897 6915 13897 6927 13897 6933 13898 6927 13898 6915 13898 6933 13899 6929 13899 6927 13899 6934 13900 6915 13900 6925 13900 6933 13901 6915 13901 6934 13901 6935 13902 6936 13902 6925 13902 6937 13903 6925 13903 6936 13903 6926 13904 6935 13904 6925 13904 6934 13905 6925 13905 6937 13905 6938 13906 6931 13906 6936 13906 6939 13907 6936 13907 6931 13907 6935 13908 6938 13908 6936 13908 6937 13909 6936 13909 6939 13909 6375 13910 6930 13910 6931 13910 6381 13911 6375 13911 6931 13911 6938 13912 6381 13912 6931 13912 6939 13913 6931 13913 6932 13913 6881 13914 6940 13914 6941 13914 6942 13915 6941 13915 6940 13915 6943 13916 6941 13916 6363 13916 6944 13917 6363 13917 6941 13917 6881 13918 6941 13918 6943 13918 6944 13919 6941 13919 6942 13919 6881 13920 6930 13920 6940 13920 6945 13921 6940 13921 6930 13921 6945 13922 6942 13922 6940 13922 6946 13923 6930 13923 6375 13923 6945 13924 6930 13924 6946 13924 6947 13925 6375 13925 6356 13925 6946 13926 6375 13926 6947 13926 6948 13927 6356 13927 6363 13927 6947 13928 6356 13928 6948 13928 6364 13929 6943 13929 6363 13929 6948 13930 6363 13930 6944 13930 6881 13931 6949 13931 6950 13931 6951 13932 6950 13932 6949 13932 6952 13933 6950 13933 6366 13933 6953 13934 6366 13934 6950 13934 6881 13935 6950 13935 6952 13935 6953 13936 6950 13936 6951 13936 6881 13937 6943 13937 6949 13937 6954 13938 6949 13938 6943 13938 6954 13939 6951 13939 6949 13939 6955 13940 6943 13940 6364 13940 6954 13941 6943 13941 6955 13941 6956 13942 6364 13942 6365 13942 6955 13943 6364 13943 6956 13943 6957 13944 6365 13944 6366 13944 6956 13945 6365 13945 6957 13945 6367 13946 6952 13946 6366 13946 6957 13947 6366 13947 6953 13947 6958 13948 6959 13948 6960 13948 6961 13949 6960 13949 6959 13949 6962 13950 6960 13950 6369 13950 6963 13951 6369 13951 6960 13951 6958 13952 6960 13952 6962 13952 6963 13953 6960 13953 6961 13953 6958 13954 6952 13954 6959 13954 6964 13955 6959 13955 6952 13955 6964 13956 6961 13956 6959 13956 6965 13957 6952 13957 6367 13957 6958 13958 6881 13958 6952 13958 6964 13959 6952 13959 6965 13959 6966 13960 6367 13960 6368 13960 6965 13961 6367 13961 6966 13961 6967 13962 6368 13962 6369 13962 6966 13963 6368 13963 6967 13963 6370 13964 6962 13964 6369 13964 6967 13965 6369 13965 6963 13965 6958 13966 6968 13966 6969 13966 6970 13967 6969 13967 6968 13967 6971 13968 6969 13968 6372 13968 6972 13969 6372 13969 6969 13969 6958 13970 6969 13970 6971 13970 6972 13971 6969 13971 6970 13971 6958 13972 6962 13972 6968 13972 6973 13973 6968 13973 6962 13973 6973 13974 6970 13974 6968 13974 6974 13975 6962 13975 6370 13975 6973 13976 6962 13976 6974 13976 6975 13977 6370 13977 6371 13977 6974 13978 6370 13978 6975 13978 6976 13979 6371 13979 6372 13979 6975 13980 6371 13980 6976 13980 6373 13981 6971 13981 6372 13981 6976 13982 6372 13982 6972 13982 6958 13983 6977 13983 6978 13983 6979 13984 6978 13984 6977 13984 6412 13985 6978 13985 6360 13985 6980 13986 6360 13986 6978 13986 6958 13987 6978 13987 6412 13987 6980 13988 6978 13988 6979 13988 6958 13989 6971 13989 6977 13989 6981 13990 6977 13990 6971 13990 6981 13991 6979 13991 6977 13991 6982 13992 6971 13992 6373 13992 6981 13993 6971 13993 6982 13993 6983 13994 6373 13994 6374 13994 6982 13995 6373 13995 6983 13995 6984 13996 6374 13996 6360 13996 6983 13997 6374 13997 6984 13997 6984 13998 6360 13998 6980 13998 6958 13999 6985 13999 6986 13999 6987 14000 6986 14000 6985 14000 6415 14001 6986 14001 6414 14001 6988 14002 6414 14002 6986 14002 6415 14003 6989 14003 6986 14003 6958 14004 6986 14004 6989 14004 6988 14005 6986 14005 6987 14005 6958 14006 6990 14006 6985 14006 6991 14007 6985 14007 6990 14007 6991 14008 6987 14008 6985 14008 6958 14009 6412 14009 6990 14009 6992 14010 6990 14010 6412 14010 6991 14011 6990 14011 6992 14011 6993 14012 6412 14012 6413 14012 6992 14013 6412 14013 6993 14013 6994 14014 6413 14014 6414 14014 6993 14015 6413 14015 6994 14015 6994 14016 6414 14016 6988 14016 6958 14017 6995 14017 6996 14017 6997 14018 6996 14018 6995 14018 6418 14019 6996 14019 6417 14019 6998 14020 6417 14020 6996 14020 6418 14021 6999 14021 6996 14021 6958 14022 6996 14022 6999 14022 6998 14023 6996 14023 6997 14023 6958 14024 6989 14024 6995 14024 7000 14025 6995 14025 6989 14025 7000 14026 6997 14026 6995 14026 7001 14027 6989 14027 6415 14027 7000 14028 6989 14028 7001 14028 7002 14029 6415 14029 6416 14029 7001 14030 6415 14030 7002 14030 7003 14031 6416 14031 6417 14031 7002 14032 6416 14032 7003 14032 7003 14033 6417 14033 6998 14033 6958 14034 7004 14034 7005 14034 7006 14035 7005 14035 7004 14035 6421 14036 7005 14036 6420 14036 7007 14037 6420 14037 7005 14037 6421 14038 7008 14038 7005 14038 7009 14039 7005 14039 7008 14039 7009 14040 6958 14040 7005 14040 7007 14041 7005 14041 7006 14041 6958 14042 6999 14042 7004 14042 7010 14043 7004 14043 6999 14043 7010 14044 7006 14044 7004 14044 7011 14045 6999 14045 6418 14045 7010 14046 6999 14046 7011 14046 7012 14047 6418 14047 6419 14047 7011 14048 6418 14048 7012 14048 7013 14049 6419 14049 6420 14049 7012 14050 6419 14050 7013 14050 7013 14051 6420 14051 7007 14051 7009 14052 7014 14052 7015 14052 7016 14053 7015 14053 7014 14053 6424 14054 7015 14054 6423 14054 7017 14055 6423 14055 7015 14055 6424 14056 7018 14056 7015 14056 7009 14057 7015 14057 7018 14057 7017 14058 7015 14058 7016 14058 7009 14059 7008 14059 7014 14059 7019 14060 7014 14060 7008 14060 7019 14061 7016 14061 7014 14061 7020 14062 7008 14062 6421 14062 7019 14063 7008 14063 7020 14063 7021 14064 6421 14064 6422 14064 7020 14065 6421 14065 7021 14065 7022 14066 6422 14066 6423 14066 7021 14067 6422 14067 7022 14067 7022 14068 6423 14068 7017 14068 7009 14069 7023 14069 7024 14069 7025 14070 7024 14070 7023 14070 7026 14071 7024 14071 7027 14071 7028 14072 7027 14072 7024 14072 7026 14073 7029 14073 7024 14073 7009 14074 7024 14074 7029 14074 7028 14075 7024 14075 7025 14075 7009 14076 7018 14076 7023 14076 7030 14077 7023 14077 7018 14077 7030 14078 7025 14078 7023 14078 7031 14079 7018 14079 6424 14079 7030 14080 7018 14080 7031 14080 7032 14081 6424 14081 6425 14081 7031 14082 6424 14082 7032 14082 7033 14083 7027 14083 6425 14083 7034 14084 6425 14084 7027 14084 6410 14085 7033 14085 6425 14085 7032 14086 6425 14086 7034 14086 7035 14087 7026 14087 7027 14087 7033 14088 7035 14088 7027 14088 7034 14089 7027 14089 7028 14089 7009 14090 7036 14090 7037 14090 7038 14091 7037 14091 7036 14091 7039 14092 7037 14092 7040 14092 7041 14093 7040 14093 7037 14093 7039 14094 7042 14094 7037 14094 7009 14095 7037 14095 7042 14095 7041 14096 7037 14096 7038 14096 7009 14097 7029 14097 7036 14097 7043 14098 7036 14098 7029 14098 7043 14099 7038 14099 7036 14099 7044 14100 7029 14100 7026 14100 7043 14101 7029 14101 7044 14101 7045 14102 7046 14102 7026 14102 7047 14103 7026 14103 7046 14103 7035 14104 7045 14104 7026 14104 7044 14105 7026 14105 7047 14105 7048 14106 7040 14106 7046 14106 7049 14107 7046 14107 7040 14107 7045 14108 7048 14108 7046 14108 7047 14109 7046 14109 7049 14109 7050 14110 7039 14110 7040 14110 7048 14111 7050 14111 7040 14111 7049 14112 7040 14112 7041 14112 7009 14113 7051 14113 7052 14113 7053 14114 7052 14114 7051 14114 7054 14115 7052 14115 7055 14115 7056 14116 7055 14116 7052 14116 7054 14117 7057 14117 7052 14117 7009 14118 7052 14118 7057 14118 7056 14119 7052 14119 7053 14119 7009 14120 7042 14120 7051 14120 7058 14121 7051 14121 7042 14121 7058 14122 7053 14122 7051 14122 7059 14123 7042 14123 7039 14123 7058 14124 7042 14124 7059 14124 7060 14125 7061 14125 7039 14125 7062 14126 7039 14126 7061 14126 7050 14127 7060 14127 7039 14127 7059 14128 7039 14128 7062 14128 7063 14129 7055 14129 7061 14129 7064 14130 7061 14130 7055 14130 7060 14131 7063 14131 7061 14131 7062 14132 7061 14132 7064 14132 7065 14133 7054 14133 7055 14133 7063 14134 7065 14134 7055 14134 7064 14135 7055 14135 7056 14135 7009 14136 7066 14136 7067 14136 7068 14137 7067 14137 7066 14137 7069 14138 7067 14138 7070 14138 7071 14139 7070 14139 7067 14139 7069 14140 7072 14140 7067 14140 7009 14141 7067 14141 7072 14141 7071 14142 7067 14142 7068 14142 7009 14143 7057 14143 7066 14143 7073 14144 7066 14144 7057 14144 7073 14145 7068 14145 7066 14145 7074 14146 7057 14146 7054 14146 7073 14147 7057 14147 7074 14147 7075 14148 7076 14148 7054 14148 7077 14149 7054 14149 7076 14149 7065 14150 7075 14150 7054 14150 7074 14151 7054 14151 7077 14151 7078 14152 7070 14152 7076 14152 7079 14153 7076 14153 7070 14153 7075 14154 7078 14154 7076 14154 7077 14155 7076 14155 7079 14155 7080 14156 7069 14156 7070 14156 7078 14157 7080 14157 7070 14157 7079 14158 7070 14158 7071 14158 7081 14159 7082 14159 7083 14159 7084 14160 7083 14160 7082 14160 7085 14161 7083 14161 7086 14161 7087 14162 7086 14162 7083 14162 7085 14163 7088 14163 7083 14163 7081 14164 7083 14164 7088 14164 7087 14165 7083 14165 7084 14165 7009 14166 7072 14166 7082 14166 7089 14167 7082 14167 7072 14167 7009 14168 7082 14168 7081 14168 7089 14169 7084 14169 7082 14169 7090 14170 7072 14170 7069 14170 7089 14171 7072 14171 7090 14171 7091 14172 7092 14172 7069 14172 7093 14173 7069 14173 7092 14173 7080 14174 7091 14174 7069 14174 7090 14175 7069 14175 7093 14175 7094 14176 7086 14176 7092 14176 7095 14177 7092 14177 7086 14177 7091 14178 7094 14178 7092 14178 7093 14179 7092 14179 7095 14179 7096 14180 7085 14180 7086 14180 7094 14181 7096 14181 7086 14181 7095 14182 7086 14182 7087 14182 7081 14183 7097 14183 7098 14183 7099 14184 7098 14184 7097 14184 7100 14185 7098 14185 7101 14185 7102 14186 7101 14186 7098 14186 7100 14187 7103 14187 7098 14187 7081 14188 7098 14188 7103 14188 7102 14189 7098 14189 7099 14189 7081 14190 7088 14190 7097 14190 7104 14191 7097 14191 7088 14191 7104 14192 7099 14192 7097 14192 7105 14193 7088 14193 7085 14193 7104 14194 7088 14194 7105 14194 7106 14195 7107 14195 7085 14195 7108 14196 7085 14196 7107 14196 7096 14197 7106 14197 7085 14197 7105 14198 7085 14198 7108 14198 7109 14199 7101 14199 7107 14199 7110 14200 7107 14200 7101 14200 7106 14201 7109 14201 7107 14201 7108 14202 7107 14202 7110 14202 7111 14203 7100 14203 7101 14203 7109 14204 7111 14204 7101 14204 7110 14205 7101 14205 7102 14205 7081 14206 7112 14206 7113 14206 7114 14207 7113 14207 7112 14207 7115 14208 7113 14208 7116 14208 7117 14209 7116 14209 7113 14209 7081 14210 7113 14210 7115 14210 7117 14211 7113 14211 7114 14211 7081 14212 7103 14212 7112 14212 7118 14213 7112 14213 7103 14213 7118 14214 7114 14214 7112 14214 7119 14215 7103 14215 7100 14215 7118 14216 7103 14216 7119 14216 7120 14217 7121 14217 7100 14217 7122 14218 7100 14218 7121 14218 7111 14219 7120 14219 7100 14219 7119 14220 7100 14220 7122 14220 7123 14221 7116 14221 7121 14221 7124 14222 7121 14222 7116 14222 7120 14223 7123 14223 7121 14223 7122 14224 7121 14224 7124 14224 7123 14225 7115 14225 7116 14225 7124 14226 7116 14226 7117 14226 7081 14227 7125 14227 7126 14227 7127 14228 7126 14228 7125 14228 7128 14229 7126 14229 7111 14229 7129 14230 7111 14230 7126 14230 7081 14231 7126 14231 7128 14231 7129 14232 7126 14232 7127 14232 7081 14233 7115 14233 7125 14233 7130 14234 7125 14234 7115 14234 7130 14235 7127 14235 7125 14235 7131 14236 7115 14236 7123 14236 7130 14237 7115 14237 7131 14237 7132 14238 7123 14238 7120 14238 7131 14239 7123 14239 7132 14239 7133 14240 7120 14240 7111 14240 7132 14241 7120 14241 7133 14241 7109 14242 7128 14242 7111 14242 7133 14243 7111 14243 7129 14243 7081 14244 7134 14244 7135 14244 7136 14245 7135 14245 7134 14245 7137 14246 7135 14246 7096 14246 7138 14247 7096 14247 7135 14247 7081 14248 7135 14248 7137 14248 7138 14249 7135 14249 7136 14249 7081 14250 7128 14250 7134 14250 7139 14251 7134 14251 7128 14251 7139 14252 7136 14252 7134 14252 7140 14253 7128 14253 7109 14253 7139 14254 7128 14254 7140 14254 7141 14255 7109 14255 7106 14255 7140 14256 7109 14256 7141 14256 7142 14257 7106 14257 7096 14257 7141 14258 7106 14258 7142 14258 7094 14259 7137 14259 7096 14259 7142 14260 7096 14260 7138 14260 7081 14261 7143 14261 7144 14261 7145 14262 7144 14262 7143 14262 7146 14263 7144 14263 7080 14263 7147 14264 7080 14264 7144 14264 7081 14265 7144 14265 7146 14265 7147 14266 7144 14266 7145 14266 7081 14267 7137 14267 7143 14267 7148 14268 7143 14268 7137 14268 7148 14269 7145 14269 7143 14269 7149 14270 7137 14270 7094 14270 7148 14271 7137 14271 7149 14271 7150 14272 7094 14272 7091 14272 7149 14273 7094 14273 7150 14273 7151 14274 7091 14274 7080 14274 7150 14275 7091 14275 7151 14275 7078 14276 7146 14276 7080 14276 7151 14277 7080 14277 7147 14277 7152 14278 7153 14278 7154 14278 7155 14279 7154 14279 7153 14279 7156 14280 7154 14280 7065 14280 7157 14281 7065 14281 7154 14281 7152 14282 7154 14282 7156 14282 7157 14283 7154 14283 7155 14283 7152 14284 7146 14284 7153 14284 7158 14285 7153 14285 7146 14285 7158 14286 7155 14286 7153 14286 7159 14287 7146 14287 7078 14287 7152 14288 7081 14288 7146 14288 7158 14289 7146 14289 7159 14289 7160 14290 7078 14290 7075 14290 7159 14291 7078 14291 7160 14291 7161 14292 7075 14292 7065 14292 7160 14293 7075 14293 7161 14293 7063 14294 7156 14294 7065 14294 7161 14295 7065 14295 7157 14295 7152 14296 7162 14296 7163 14296 7164 14297 7163 14297 7162 14297 7165 14298 7163 14298 7050 14298 7166 14299 7050 14299 7163 14299 7152 14300 7163 14300 7165 14300 7166 14301 7163 14301 7164 14301 7152 14302 7156 14302 7162 14302 7167 14303 7162 14303 7156 14303 7167 14304 7164 14304 7162 14304 7168 14305 7156 14305 7063 14305 7167 14306 7156 14306 7168 14306 7169 14307 7063 14307 7060 14307 7168 14308 7063 14308 7169 14308 7170 14309 7060 14309 7050 14309 7169 14310 7060 14310 7170 14310 7048 14311 7165 14311 7050 14311 7170 14312 7050 14312 7166 14312 7152 14313 7171 14313 7172 14313 7173 14314 7172 14314 7171 14314 7174 14315 7172 14315 7035 14315 7175 14316 7035 14316 7172 14316 7152 14317 7172 14317 7174 14317 7175 14318 7172 14318 7173 14318 7152 14319 7165 14319 7171 14319 7176 14320 7171 14320 7165 14320 7176 14321 7173 14321 7171 14321 7177 14322 7165 14322 7048 14322 7176 14323 7165 14323 7177 14323 7178 14324 7048 14324 7045 14324 7177 14325 7048 14325 7178 14325 7179 14326 7045 14326 7035 14326 7178 14327 7045 14327 7179 14327 7033 14328 7174 14328 7035 14328 7179 14329 7035 14329 7175 14329 7152 14330 7180 14330 7181 14330 7182 14331 7181 14331 7180 14331 7183 14332 7181 14332 6394 14332 7184 14333 6394 14333 7181 14333 7152 14334 7181 14334 7183 14334 7184 14335 7181 14335 7182 14335 7152 14336 7174 14336 7180 14336 7185 14337 7180 14337 7174 14337 7185 14338 7182 14338 7180 14338 7186 14339 7174 14339 7033 14339 7185 14340 7174 14340 7186 14340 7187 14341 7033 14341 6410 14341 7186 14342 7033 14342 7187 14342 7188 14343 6410 14343 6394 14343 7187 14344 6410 14344 7188 14344 6397 14345 7183 14345 6394 14345 7188 14346 6394 14346 7184 14346 7152 14347 7189 14347 7190 14347 7191 14348 7190 14348 7189 14348 7192 14349 7190 14349 6399 14349 7193 14350 6399 14350 7190 14350 7152 14351 7190 14351 7192 14351 7193 14352 7190 14352 7191 14352 7152 14353 7183 14353 7189 14353 7194 14354 7189 14354 7183 14354 7194 14355 7191 14355 7189 14355 7195 14356 7183 14356 6397 14356 7194 14357 7183 14357 7195 14357 7196 14358 6397 14358 6398 14358 7195 14359 6397 14359 7196 14359 7197 14360 6398 14360 6399 14360 7196 14361 6398 14361 7197 14361 6400 14362 7192 14362 6399 14362 7197 14363 6399 14363 7193 14363 7152 14364 7198 14364 7199 14364 7200 14365 7199 14365 7198 14365 7201 14366 7199 14366 6402 14366 7202 14367 6402 14367 7199 14367 7203 14368 7199 14368 7201 14368 7203 14369 7152 14369 7199 14369 7202 14370 7199 14370 7200 14370 7152 14371 7192 14371 7198 14371 7204 14372 7198 14372 7192 14372 7204 14373 7200 14373 7198 14373 7205 14374 7192 14374 6400 14374 7204 14375 7192 14375 7205 14375 7206 14376 6400 14376 6401 14376 7205 14377 6400 14377 7206 14377 7207 14378 6401 14378 6402 14378 7206 14379 6401 14379 7207 14379 6403 14380 7201 14380 6402 14380 7207 14381 6402 14381 7202 14381 7203 14382 7208 14382 7209 14382 7210 14383 7209 14383 7208 14383 7211 14384 7209 14384 6405 14384 7212 14385 6405 14385 7209 14385 7203 14386 7209 14386 7211 14386 7212 14387 7209 14387 7210 14387 7203 14388 7201 14388 7208 14388 7213 14389 7208 14389 7201 14389 7213 14390 7210 14390 7208 14390 7214 14391 7201 14391 6403 14391 7213 14392 7201 14392 7214 14392 7215 14393 6403 14393 6404 14393 7214 14394 6403 14394 7215 14394 7216 14395 6404 14395 6405 14395 7215 14396 6404 14396 7216 14396 6406 14397 7211 14397 6405 14397 7216 14398 6405 14398 7212 14398 7203 14399 7217 14399 7218 14399 7219 14400 7218 14400 7217 14400 6409 14401 7218 14401 6408 14401 7220 14402 6408 14402 7218 14402 6409 14403 7221 14403 7218 14403 7203 14404 7218 14404 7221 14404 7220 14405 7218 14405 7219 14405 7203 14406 7211 14406 7217 14406 7222 14407 7217 14407 7211 14407 7222 14408 7219 14408 7217 14408 7223 14409 7211 14409 6406 14409 7222 14410 7211 14410 7223 14410 7224 14411 6406 14411 6407 14411 7223 14412 6406 14412 7224 14412 7225 14413 6407 14413 6408 14413 7224 14414 6407 14414 7225 14414 7225 14415 6408 14415 7220 14415 7203 14416 7226 14416 7227 14416 7228 14417 7227 14417 7226 14417 6383 14418 7227 14418 6382 14418 7229 14419 6382 14419 7227 14419 6383 14420 7230 14420 7227 14420 7203 14421 7227 14421 7230 14421 7229 14422 7227 14422 7228 14422 7203 14423 7221 14423 7226 14423 7231 14424 7226 14424 7221 14424 7231 14425 7228 14425 7226 14425 7232 14426 7221 14426 6409 14426 7231 14427 7221 14427 7232 14427 7233 14428 6409 14428 6378 14428 7232 14429 6409 14429 7233 14429 7234 14430 6378 14430 6382 14430 7233 14431 6378 14431 7234 14431 7234 14432 6382 14432 7229 14432 7203 14433 7235 14433 7236 14433 7237 14434 7236 14434 7235 14434 6386 14435 7236 14435 6385 14435 7238 14436 6385 14436 7236 14436 6386 14437 7239 14437 7236 14437 7203 14438 7236 14438 7239 14438 7238 14439 7236 14439 7237 14439 7203 14440 7230 14440 7235 14440 7240 14441 7235 14441 7230 14441 7240 14442 7237 14442 7235 14442 7241 14443 7230 14443 6383 14443 7240 14444 7230 14444 7241 14444 7242 14445 6383 14445 6384 14445 7241 14446 6383 14446 7242 14446 7243 14447 6384 14447 6385 14447 7242 14448 6384 14448 7243 14448 7243 14449 6385 14449 7238 14449 7203 14450 7244 14450 7245 14450 7246 14451 7245 14451 7244 14451 6389 14452 7245 14452 6388 14452 7247 14453 6388 14453 7245 14453 6389 14454 7248 14454 7245 14454 7203 14455 7245 14455 7248 14455 7247 14456 7245 14456 7246 14456 7203 14457 7239 14457 7244 14457 7249 14458 7244 14458 7239 14458 7249 14459 7246 14459 7244 14459 7250 14460 7239 14460 6386 14460 7249 14461 7239 14461 7250 14461 7251 14462 6386 14462 6387 14462 7250 14463 6386 14463 7251 14463 7252 14464 6387 14464 6388 14464 7251 14465 6387 14465 7252 14465 7252 14466 6388 14466 7247 14466 7253 14467 7254 14467 7255 14467 7256 14468 7255 14468 7254 14468 6392 14469 7255 14469 6391 14469 7257 14470 6391 14470 7255 14470 6392 14471 7258 14471 7255 14471 7253 14472 7255 14472 7258 14472 7257 14473 7255 14473 7256 14473 7203 14474 7248 14474 7254 14474 7259 14475 7254 14475 7248 14475 7253 14476 7203 14476 7254 14476 7259 14477 7256 14477 7254 14477 7260 14478 7248 14478 6389 14478 7259 14479 7248 14479 7260 14479 7261 14480 6389 14480 6390 14480 7260 14481 6389 14481 7261 14481 7262 14482 6390 14482 6391 14482 7261 14483 6390 14483 7262 14483 7262 14484 6391 14484 7257 14484 7253 14485 7263 14485 7264 14485 7265 14486 7264 14486 7263 14486 6938 14487 7264 14487 6381 14487 7266 14488 6381 14488 7264 14488 6938 14489 7267 14489 7264 14489 7253 14490 7264 14490 7267 14490 7266 14491 7264 14491 7265 14491 7253 14492 7258 14492 7263 14492 7268 14493 7263 14493 7258 14493 7268 14494 7265 14494 7263 14494 7269 14495 7258 14495 6392 14495 7268 14496 7258 14496 7269 14496 7270 14497 6392 14497 6393 14497 7269 14498 6392 14498 7270 14498 7271 14499 6393 14499 6381 14499 7270 14500 6393 14500 7271 14500 7271 14501 6381 14501 7266 14501 7253 14502 7272 14502 7273 14502 7274 14503 7273 14503 7272 14503 6923 14504 7273 14504 6926 14504 7275 14505 6926 14505 7273 14505 6923 14506 7276 14506 7273 14506 7253 14507 7273 14507 7276 14507 7275 14508 7273 14508 7274 14508 7253 14509 7267 14509 7272 14509 7277 14510 7272 14510 7267 14510 7277 14511 7274 14511 7272 14511 7278 14512 7267 14512 6938 14512 7277 14513 7267 14513 7278 14513 7279 14514 6938 14514 6935 14514 7278 14515 6938 14515 7279 14515 7280 14516 6935 14516 6926 14516 7279 14517 6935 14517 7280 14517 7280 14518 6926 14518 7275 14518 7253 14519 7281 14519 7282 14519 7283 14520 7282 14520 7281 14520 6908 14521 7282 14521 6911 14521 7284 14522 6911 14522 7282 14522 6908 14523 7285 14523 7282 14523 7253 14524 7282 14524 7285 14524 7284 14525 7282 14525 7283 14525 7253 14526 7276 14526 7281 14526 7286 14527 7281 14527 7276 14527 7286 14528 7283 14528 7281 14528 7287 14529 7276 14529 6923 14529 7286 14530 7276 14530 7287 14530 7288 14531 6923 14531 6920 14531 7287 14532 6923 14532 7288 14532 7289 14533 6920 14533 6911 14533 7288 14534 6920 14534 7289 14534 7289 14535 6911 14535 7284 14535 7253 14536 7290 14536 7291 14536 7292 14537 7291 14537 7290 14537 6893 14538 7291 14538 6896 14538 7293 14539 6896 14539 7291 14539 6893 14540 7294 14540 7291 14540 7253 14541 7291 14541 7294 14541 7293 14542 7291 14542 7292 14542 7253 14543 7285 14543 7290 14543 7295 14544 7290 14544 7285 14544 7295 14545 7292 14545 7290 14545 7296 14546 7285 14546 6908 14546 7295 14547 7285 14547 7296 14547 7297 14548 6908 14548 6905 14548 7296 14549 6908 14549 7297 14549 7298 14550 6905 14550 6896 14550 7297 14551 6905 14551 7298 14551 7298 14552 6896 14552 7293 14552 7253 14553 7299 14553 7300 14553 7301 14554 7300 14554 7299 14554 6877 14555 7300 14555 6880 14555 7302 14556 6880 14556 7300 14556 6877 14557 7303 14557 7300 14557 7253 14558 7300 14558 7303 14558 7302 14559 7300 14559 7301 14559 7253 14560 7294 14560 7299 14560 7304 14561 7299 14561 7294 14561 7304 14562 7301 14562 7299 14562 7305 14563 7294 14563 6893 14563 7304 14564 7294 14564 7305 14564 7306 14565 6893 14565 6890 14565 7305 14566 6893 14566 7306 14566 7307 14567 6890 14567 6880 14567 7306 14568 6890 14568 7307 14568 7307 14569 6880 14569 7302 14569 6834 14570 7308 14570 7309 14570 7310 14571 7309 14571 7308 14571 6862 14572 7309 14572 6865 14572 7311 14573 6865 14573 7309 14573 6862 14574 7312 14574 7309 14574 6834 14575 7309 14575 7312 14575 7311 14576 7309 14576 7310 14576 6834 14577 7303 14577 7308 14577 7313 14578 7308 14578 7303 14578 7313 14579 7310 14579 7308 14579 7314 14580 7303 14580 6877 14580 6834 14581 7253 14581 7303 14581 7313 14582 7303 14582 7314 14582 7315 14583 6877 14583 6874 14583 7314 14584 6877 14584 7315 14584 7316 14585 6874 14585 6865 14585 7315 14586 6874 14586 7316 14586 7316 14587 6865 14587 7311 14587 6834 14588 7317 14588 6843 14588 7318 14589 6843 14589 7317 14589 7319 14590 6848 14590 6843 14590 7319 14591 6843 14591 7318 14591 6834 14592 7312 14592 7317 14592 7320 14593 7317 14593 7312 14593 7320 14594 7318 14594 7317 14594 7321 14595 7312 14595 6862 14595 7320 14596 7312 14596 7321 14596 7322 14597 6862 14597 6859 14597 7321 14598 6862 14598 7322 14598 7323 14599 6859 14599 6848 14599 7322 14600 6859 14600 7323 14600 7323 14601 6848 14601 7319 14601 7324 14602 7081 14602 7152 14602 7325 14603 7009 14603 7081 14603 7325 14604 7081 14604 7324 14604 7326 14605 7152 14605 7203 14605 7324 14606 7152 14606 7326 14606 7327 14607 7203 14607 7253 14607 7326 14608 7203 14608 7327 14608 7328 14609 7253 14609 6834 14609 7327 14610 7253 14610 7328 14610 7329 14611 6834 14611 6881 14611 7328 14612 6834 14612 7329 14612 7330 14613 6881 14613 6958 14613 7330 14614 7329 14614 6881 14614 7331 14615 6958 14615 7009 14615 7330 14616 6958 14616 7331 14616 7331 14617 7009 14617 7325 14617 7332 14618 6594 14618 6541 14618 7333 14619 6664 14619 6594 14619 7333 14620 6594 14620 7332 14620 7334 14621 6541 14621 6494 14621 7334 14622 7332 14622 6541 14622 7335 14623 6494 14623 6458 14623 7334 14624 6494 14624 7335 14624 7336 14625 6458 14625 6454 14625 7335 14626 6458 14626 7336 14626 7337 14627 6454 14627 6748 14627 7336 14628 6454 14628 7337 14628 7338 14629 6748 14629 6696 14629 7337 14630 6748 14630 7338 14630 7339 14631 6696 14631 6664 14631 7338 14632 6696 14632 7339 14632 7339 14633 6664 14633 7333 14633 7340 14634 6179 14634 6205 14634 7341 14635 6179 14635 7340 14635 6182 14636 6179 14636 7341 14636 7342 14637 6205 14637 6227 14637 7342 14638 7340 14638 6205 14638 7343 14639 6227 14639 6249 14639 7344 14640 7342 14640 6227 14640 7343 14641 7344 14641 6227 14641 7343 14642 6249 14642 6273 14642 7345 14643 7343 14643 6273 14643 6295 14644 7345 14644 6273 14644 7346 14645 7340 14645 7342 14645 7347 14646 7341 14646 7340 14646 7347 14647 7340 14647 7346 14647 7348 14648 7342 14648 7344 14648 7348 14649 7346 14649 7342 14649 7349 14650 7344 14650 7343 14650 7349 14651 7348 14651 7344 14651 7350 14652 7343 14652 7345 14652 7350 14653 7349 14653 7343 14653 6295 14654 7351 14654 7345 14654 7352 14655 7345 14655 7351 14655 7352 14656 7350 14656 7345 14656 6316 14657 7353 14657 7351 14657 7354 14658 7351 14658 7353 14658 6295 14659 6316 14659 7351 14659 7354 14660 7352 14660 7351 14660 6316 14661 7341 14661 7353 14661 7355 14662 7353 14662 7341 14662 7354 14663 7353 14663 7355 14663 6316 14664 6182 14664 7341 14664 7355 14665 7341 14665 7347 14665 7356 14666 7346 14666 7348 14666 7357 14667 7347 14667 7346 14667 7356 14668 7357 14668 7346 14668 7350 14669 7348 14669 7349 14669 7358 14670 7348 14670 7350 14670 7359 14671 7356 14671 7348 14671 7358 14672 7359 14672 7348 14672 7360 14673 7350 14673 7352 14673 7360 14674 7358 14674 7350 14674 7361 14675 7352 14675 7354 14675 7360 14676 7352 14676 7361 14676 7354 14677 7355 14677 7347 14677 7362 14678 7354 14678 7347 14678 7357 14679 7362 14679 7347 14679 7363 14680 7361 14680 7354 14680 7362 14681 7363 14681 7354 14681 7364 14682 7361 14682 7363 14682 7365 14683 7360 14683 7361 14683 7364 14684 7365 14684 7361 14684 7366 14685 7363 14685 7362 14685 7366 14686 7367 14686 7363 14686 7364 14687 7363 14687 7367 14687 7368 14688 7362 14688 7357 14688 7366 14689 7362 14689 7368 14689 7369 14690 7357 14690 7356 14690 7368 14691 7357 14691 7369 14691 7370 14692 7356 14692 7359 14692 7370 14693 7369 14693 7356 14693 7371 14694 7359 14694 7358 14694 7372 14695 7359 14695 7371 14695 7370 14696 7359 14696 7372 14696 7373 14697 7358 14697 7360 14697 7371 14698 7358 14698 7373 14698 7373 14699 7360 14699 7365 14699 7374 14700 7365 14700 7367 14700 7364 14701 7367 14701 7365 14701 7375 14702 7374 14702 7367 14702 7366 14703 7375 14703 7367 14703 7376 14704 7373 14704 7365 14704 7374 14705 7376 14705 7365 14705 7377 14706 7371 14706 7373 14706 7376 14707 7377 14707 7373 14707 7378 14708 7372 14708 7371 14708 7377 14709 7378 14709 7371 14709 7379 14710 7372 14710 7378 14710 7379 14711 7369 14711 7372 14711 7370 14712 7372 14712 7369 14712 7380 14713 7378 14713 7377 14713 7381 14714 7378 14714 7380 14714 7379 14715 7378 14715 7381 14715 7382 14716 7377 14716 7376 14716 7383 14717 7380 14717 7377 14717 7383 14718 7377 14718 7382 14718 7384 14719 7376 14719 7374 14719 7382 14720 7376 14720 7384 14720 7385 14721 7374 14721 7375 14721 7386 14722 7374 14722 7385 14722 7384 14723 7374 14723 7386 14723 7385 14724 7375 14724 7387 14724 7388 14725 7387 14725 7375 14725 7388 14726 7375 14726 7366 14726 7389 14727 7390 14727 7391 14727 7392 14728 7391 14728 7390 14728 7387 14729 7391 14729 7393 14729 7394 14730 7393 14730 7391 14730 7387 14731 7389 14731 7391 14731 7394 14732 7391 14732 7392 14732 7395 14733 7396 14733 7390 14733 7397 14734 7390 14734 7396 14734 7389 14735 7395 14735 7390 14735 7397 14736 7392 14736 7390 14736 7380 14737 7398 14737 7396 14737 7399 14738 7396 14738 7398 14738 7381 14739 7380 14739 7396 14739 7400 14740 7381 14740 7396 14740 7395 14741 7400 14741 7396 14741 7397 14742 7396 14742 7399 14742 7383 14743 7401 14743 7398 14743 7402 14744 7398 14744 7401 14744 7383 14745 7398 14745 7380 14745 7399 14746 7398 14746 7402 14746 7382 14747 7393 14747 7401 14747 7403 14748 7401 14748 7393 14748 7383 14749 7382 14749 7401 14749 7402 14750 7401 14750 7403 14750 7385 14751 7387 14751 7393 14751 7386 14752 7385 14752 7393 14752 7382 14753 7386 14753 7393 14753 7403 14754 7393 14754 7394 14754 7379 14755 7381 14755 7400 14755 7395 14756 7404 14756 7400 14756 7379 14757 7400 14757 7404 14757 7405 14758 7404 14758 7395 14758 7379 14759 7404 14759 7405 14759 7388 14760 7395 14760 7389 14760 7405 14761 7395 14761 7388 14761 7388 14762 7389 14762 7387 14762 7382 14763 7384 14763 7386 14763 7405 14764 7368 14764 7369 14764 7379 14765 7405 14765 7369 14765 7388 14766 7366 14766 7368 14766 7405 14767 7388 14767 7368 14767 2673 14768 6359 14768 6377 14768 7406 14769 6362 14769 6359 14769 7406 14770 6359 14770 2673 14770 7407 14771 6377 14771 6380 14771 7408 14772 6377 14772 7407 14772 2673 14773 6377 14773 7408 14773 7407 14774 6380 14774 6396 14774 2682 14775 6396 14775 6411 14775 7407 14776 6396 14776 2682 14776 7406 14777 6411 14777 6362 14777 7409 14778 2682 14778 6411 14778 7409 14779 6411 14779 7406 14779 7408 14780 7394 14780 7392 14780 2673 14781 7408 14781 7392 14781 7397 14782 2673 14782 7392 14782 7407 14783 7403 14783 7394 14783 7408 14784 7407 14784 7394 14784 2682 14785 7402 14785 7403 14785 7407 14786 2682 14786 7403 14786 7409 14787 7402 14787 2682 14787 7409 14788 7399 14788 7402 14788 7406 14789 2673 14789 7397 14789 7406 14790 7397 14790 7399 14790 7409 14791 7406 14791 7399 14791 6435 14792 6428 14792 6426 14792 6433 14793 6435 14793 6426 14793 6431 14794 6433 14794 6426 14794 6429 14795 6431 14795 6426 14795 6446 14796 6439 14796 6437 14796 6444 14797 6446 14797 6437 14797 6441 14798 6444 14798 6437 14798 6440 14799 6441 14799 6437 14799 6459 14800 6451 14800 6449 14800 6456 14801 6459 14801 6449 14801 6453 14802 6456 14802 6449 14802 6452 14803 6453 14803 6449 14803 6468 14804 6463 14804 6461 14804 6467 14805 6468 14805 6461 14805 6465 14806 6467 14806 6461 14806 6464 14807 6465 14807 6461 14807 6477 14808 6472 14808 6470 14808 6476 14809 6477 14809 6470 14809 6474 14810 6476 14810 6470 14810 6473 14811 6474 14811 6470 14811 6485 14812 6480 14812 6479 14812 6484 14813 6485 14813 6479 14813 6482 14814 6484 14814 6479 14814 6481 14815 6482 14815 6479 14815 6495 14816 6489 14816 6487 14816 6493 14817 6495 14817 6487 14817 6491 14818 6493 14818 6487 14818 6490 14819 6491 14819 6487 14819 6504 14820 6499 14820 6497 14820 6503 14821 6504 14821 6497 14821 6501 14822 6503 14822 6497 14822 6500 14823 6501 14823 6497 14823 6512 14824 6507 14824 6506 14824 6511 14825 6512 14825 6506 14825 6509 14826 6511 14826 6506 14826 6508 14827 6509 14827 6506 14827 6521 14828 6516 14828 6514 14828 6520 14829 6521 14829 6514 14829 6518 14830 6520 14830 6514 14830 6517 14831 6518 14831 6514 14831 6530 14832 6525 14832 6523 14832 6529 14833 6530 14833 6523 14833 6527 14834 6529 14834 6523 14834 6526 14835 6527 14835 6523 14835 6540 14836 6535 14836 6532 14836 6539 14837 6540 14837 6532 14837 6537 14838 6539 14838 6532 14838 6536 14839 6537 14839 6532 14839 6549 14840 6544 14840 6542 14840 6548 14841 6549 14841 6542 14841 6546 14842 6548 14842 6542 14842 6545 14843 6546 14843 6542 14843 6558 14844 6553 14844 6550 14844 6557 14845 6558 14845 6550 14845 6555 14846 6557 14846 6550 14846 6554 14847 6555 14847 6550 14847 6567 14848 6562 14848 6559 14848 6566 14849 6567 14849 6559 14849 6564 14850 6566 14850 6559 14850 6563 14851 6564 14851 6559 14851 6576 14852 6571 14852 6568 14852 6575 14853 6576 14853 6568 14853 6573 14854 6575 14854 6568 14854 6572 14855 6573 14855 6568 14855 6585 14856 6580 14856 6577 14856 6584 14857 6585 14857 6577 14857 6582 14858 6584 14858 6577 14858 6581 14859 6582 14859 6577 14859 6595 14860 6589 14860 6586 14860 6593 14861 6595 14861 6586 14861 6591 14862 6593 14862 6586 14862 6590 14863 6591 14863 6586 14863 6604 14864 6599 14864 6596 14864 6603 14865 6604 14865 6596 14865 6601 14866 6603 14866 6596 14866 6600 14867 6601 14867 6596 14867 6613 14868 6608 14868 6605 14868 6612 14869 6613 14869 6605 14869 6610 14870 6612 14870 6605 14870 6609 14871 6610 14871 6605 14871 6622 14872 6617 14872 6614 14872 6621 14873 6622 14873 6614 14873 6619 14874 6621 14874 6614 14874 6618 14875 6619 14875 6614 14875 6634 14876 6626 14876 6623 14876 6631 14877 6634 14877 6623 14877 6628 14878 6631 14878 6623 14878 6627 14879 6628 14879 6623 14879 6645 14880 6638 14880 6636 14880 6643 14881 6645 14881 6636 14881 6640 14882 6643 14882 6636 14882 6639 14883 6640 14883 6636 14883 6651 14884 6647 14884 6646 14884 6650 14885 6651 14885 6646 14885 6649 14886 6650 14886 6646 14886 6648 14887 6649 14887 6646 14887 6657 14888 6653 14888 6652 14888 6656 14889 6657 14889 6652 14889 6655 14890 6656 14890 6652 14890 6654 14891 6655 14891 6652 14891 6667 14892 6661 14892 6659 14892 6666 14893 6667 14893 6659 14893 6663 14894 6666 14894 6659 14894 6662 14895 6663 14895 6659 14895 6676 14896 6671 14896 6669 14896 6675 14897 6676 14897 6669 14897 6673 14898 6675 14898 6669 14898 6672 14899 6673 14899 6669 14899 6685 14900 6680 14900 6678 14900 6684 14901 6685 14901 6678 14901 6682 14902 6684 14902 6678 14902 6681 14903 6682 14903 6678 14903 6694 14904 6689 14904 6687 14904 6693 14905 6694 14905 6687 14905 6691 14906 6693 14906 6687 14906 6690 14907 6691 14907 6687 14907 6703 14908 6698 14908 6697 14908 6702 14909 6703 14909 6697 14909 6700 14910 6702 14910 6697 14910 6699 14911 6700 14911 6697 14911 6712 14912 6707 14912 6705 14912 6711 14913 6712 14913 6705 14913 6709 14914 6711 14914 6705 14914 6708 14915 6709 14915 6705 14915 6721 14916 6716 14916 6714 14916 6720 14917 6721 14917 6714 14917 6718 14918 6720 14918 6714 14918 6717 14919 6718 14919 6714 14919 6729 14920 6724 14920 6723 14920 6728 14921 6729 14921 6723 14921 6726 14922 6728 14922 6723 14922 6725 14923 6726 14923 6723 14923 6739 14924 6734 14924 6731 14924 6738 14925 6739 14925 6731 14925 6736 14926 6738 14926 6731 14926 6735 14927 6736 14927 6731 14927 6749 14928 6743 14928 6740 14928 6747 14929 6749 14929 6740 14929 6745 14930 6747 14930 6740 14930 6744 14931 6745 14931 6740 14931 6758 14932 6753 14932 6750 14932 6757 14933 6758 14933 6750 14933 6755 14934 6757 14934 6750 14934 6754 14935 6755 14935 6750 14935 6767 14936 6762 14936 6759 14936 6766 14937 6767 14937 6759 14937 6764 14938 6766 14938 6759 14938 6763 14939 6764 14939 6759 14939 6776 14940 6771 14940 6768 14940 6775 14941 6776 14941 6768 14941 6773 14942 6775 14942 6768 14942 6772 14943 6773 14943 6768 14943 6785 14944 6780 14944 6777 14944 6784 14945 6785 14945 6777 14945 6782 14946 6784 14946 6777 14946 6781 14947 6782 14947 6777 14947 6794 14948 6789 14948 6786 14948 6793 14949 6794 14949 6786 14949 6791 14950 6793 14950 6786 14950 6790 14951 6791 14951 6786 14951 6803 14952 6798 14952 6795 14952 6802 14953 6803 14953 6795 14953 6800 14954 6802 14954 6795 14954 6799 14955 6800 14955 6795 14955 6812 14956 6807 14956 6804 14956 6811 14957 6812 14957 6804 14957 6809 14958 6811 14958 6804 14958 6808 14959 6809 14959 6804 14959 6821 14960 6816 14960 6813 14960 6820 14961 6821 14961 6813 14961 6818 14962 6820 14962 6813 14962 6817 14963 6818 14963 6813 14963 6827 14964 6823 14964 6822 14964 6826 14965 6827 14965 6822 14965 6825 14966 6826 14966 6822 14966 6824 14967 6825 14967 6822 14967 6833 14968 6829 14968 6828 14968 6832 14969 6833 14969 6828 14969 6831 14970 6832 14970 6828 14970 6830 14971 6831 14971 6828 14971 6849 14972 6840 14972 6837 14972 6847 14973 6849 14973 6837 14973 6845 14974 6847 14974 6837 14974 6842 14975 6845 14975 6837 14975 6863 14976 6856 14976 6853 14976 6861 14977 6863 14977 6853 14977 6858 14978 6861 14978 6853 14978 6857 14979 6858 14979 6853 14979 6878 14980 6871 14980 6868 14980 6876 14981 6878 14981 6868 14981 6873 14982 6876 14982 6868 14982 6872 14983 6873 14983 6868 14983 6894 14984 6887 14984 6884 14984 6892 14985 6894 14985 6884 14985 6889 14986 6892 14986 6884 14986 6888 14987 6889 14987 6884 14987 6909 14988 6902 14988 6899 14988 6907 14989 6909 14989 6899 14989 6904 14990 6907 14990 6899 14990 6903 14991 6904 14991 6899 14991 6924 14992 6917 14992 6914 14992 6922 14993 6924 14993 6914 14993 6919 14994 6922 14994 6914 14994 6918 14995 6919 14995 6914 14995 6939 14996 6932 14996 6929 14996 6937 14997 6939 14997 6929 14997 6934 14998 6937 14998 6929 14998 6933 14999 6934 14999 6929 14999 6948 15000 6944 15000 6942 15000 6947 15001 6948 15001 6942 15001 6946 15002 6947 15002 6942 15002 6945 15003 6946 15003 6942 15003 6957 15004 6953 15004 6951 15004 6956 15005 6957 15005 6951 15005 6955 15006 6956 15006 6951 15006 6954 15007 6955 15007 6951 15007 6967 15008 6963 15008 6961 15008 6966 15009 6967 15009 6961 15009 6965 15010 6966 15010 6961 15010 6964 15011 6965 15011 6961 15011 6976 15012 6972 15012 6970 15012 6975 15013 6976 15013 6970 15013 6974 15014 6975 15014 6970 15014 6973 15015 6974 15015 6970 15015 6984 15016 6980 15016 6979 15016 6983 15017 6984 15017 6979 15017 6982 15018 6983 15018 6979 15018 6981 15019 6982 15019 6979 15019 6994 15020 6988 15020 6987 15020 6993 15021 6994 15021 6987 15021 6992 15022 6993 15022 6987 15022 6991 15023 6992 15023 6987 15023 7003 15024 6998 15024 6997 15024 7002 15025 7003 15025 6997 15025 7001 15026 7002 15026 6997 15026 7000 15027 7001 15027 6997 15027 7013 15028 7007 15028 7006 15028 7012 15029 7013 15029 7006 15029 7011 15030 7012 15030 7006 15030 7010 15031 7011 15031 7006 15031 7022 15032 7017 15032 7016 15032 7021 15033 7022 15033 7016 15033 7020 15034 7021 15034 7016 15034 7019 15035 7020 15035 7016 15035 7034 15036 7028 15036 7025 15036 7032 15037 7034 15037 7025 15037 7031 15038 7032 15038 7025 15038 7030 15039 7031 15039 7025 15039 7049 15040 7041 15040 7038 15040 7047 15041 7049 15041 7038 15041 7044 15042 7047 15042 7038 15042 7043 15043 7044 15043 7038 15043 7064 15044 7056 15044 7053 15044 7062 15045 7064 15045 7053 15045 7059 15046 7062 15046 7053 15046 7058 15047 7059 15047 7053 15047 7079 15048 7071 15048 7068 15048 7077 15049 7079 15049 7068 15049 7074 15050 7077 15050 7068 15050 7073 15051 7074 15051 7068 15051 7095 15052 7087 15052 7084 15052 7093 15053 7095 15053 7084 15053 7090 15054 7093 15054 7084 15054 7089 15055 7090 15055 7084 15055 7110 15056 7102 15056 7099 15056 7108 15057 7110 15057 7099 15057 7105 15058 7108 15058 7099 15058 7104 15059 7105 15059 7099 15059 7124 15060 7117 15060 7114 15060 7122 15061 7124 15061 7114 15061 7119 15062 7122 15062 7114 15062 7118 15063 7119 15063 7114 15063 7133 15064 7129 15064 7127 15064 7132 15065 7133 15065 7127 15065 7131 15066 7132 15066 7127 15066 7130 15067 7131 15067 7127 15067 7142 15068 7138 15068 7136 15068 7141 15069 7142 15069 7136 15069 7140 15070 7141 15070 7136 15070 7139 15071 7140 15071 7136 15071 7151 15072 7147 15072 7145 15072 7150 15073 7151 15073 7145 15073 7149 15074 7150 15074 7145 15074 7148 15075 7149 15075 7145 15075 7161 15076 7157 15076 7155 15076 7160 15077 7161 15077 7155 15077 7159 15078 7160 15078 7155 15078 7158 15079 7159 15079 7155 15079 7170 15080 7166 15080 7164 15080 7169 15081 7170 15081 7164 15081 7168 15082 7169 15082 7164 15082 7167 15083 7168 15083 7164 15083 7179 15084 7175 15084 7173 15084 7178 15085 7179 15085 7173 15085 7177 15086 7178 15086 7173 15086 7176 15087 7177 15087 7173 15087 7188 15088 7184 15088 7182 15088 7187 15089 7188 15089 7182 15089 7186 15090 7187 15090 7182 15090 7185 15091 7186 15091 7182 15091 7197 15092 7193 15092 7191 15092 7196 15093 7197 15093 7191 15093 7195 15094 7196 15094 7191 15094 7194 15095 7195 15095 7191 15095 7207 15096 7202 15096 7200 15096 7206 15097 7207 15097 7200 15097 7205 15098 7206 15098 7200 15098 7204 15099 7205 15099 7200 15099 7216 15100 7212 15100 7210 15100 7215 15101 7216 15101 7210 15101 7214 15102 7215 15102 7210 15102 7213 15103 7214 15103 7210 15103 7225 15104 7220 15104 7219 15104 7224 15105 7225 15105 7219 15105 7223 15106 7224 15106 7219 15106 7222 15107 7223 15107 7219 15107 7234 15108 7229 15108 7228 15108 7233 15109 7234 15109 7228 15109 7232 15110 7233 15110 7228 15110 7231 15111 7232 15111 7228 15111 7243 15112 7238 15112 7237 15112 7242 15113 7243 15113 7237 15113 7241 15114 7242 15114 7237 15114 7240 15115 7241 15115 7237 15115 7252 15116 7247 15116 7246 15116 7251 15117 7252 15117 7246 15117 7250 15118 7251 15118 7246 15118 7249 15119 7250 15119 7246 15119 7262 15120 7257 15120 7256 15120 7261 15121 7262 15121 7256 15121 7260 15122 7261 15122 7256 15122 7259 15123 7260 15123 7256 15123 7271 15124 7266 15124 7265 15124 7270 15125 7271 15125 7265 15125 7269 15126 7270 15126 7265 15126 7268 15127 7269 15127 7265 15127 7280 15128 7275 15128 7274 15128 7279 15129 7280 15129 7274 15129 7278 15130 7279 15130 7274 15130 7277 15131 7278 15131 7274 15131 7289 15132 7284 15132 7283 15132 7288 15133 7289 15133 7283 15133 7287 15134 7288 15134 7283 15134 7286 15135 7287 15135 7283 15135 7298 15136 7293 15136 7292 15136 7297 15137 7298 15137 7292 15137 7296 15138 7297 15138 7292 15138 7295 15139 7296 15139 7292 15139 7307 15140 7302 15140 7301 15140 7306 15141 7307 15141 7301 15141 7305 15142 7306 15142 7301 15142 7304 15143 7305 15143 7301 15143 7316 15144 7311 15144 7310 15144 7315 15145 7316 15145 7310 15145 7314 15146 7315 15146 7310 15146 7313 15147 7314 15147 7310 15147 7323 15148 7319 15148 7318 15148 7322 15149 7323 15149 7318 15149 7321 15150 7322 15150 7318 15150 7320 15151 7321 15151 7318 15151 7334 15152 7328 15152 7329 15152 7332 15153 7329 15153 7330 15153 7334 15154 7329 15154 7332 15154 7334 15155 7327 15155 7328 15155 7336 15156 7326 15156 7327 15156 7335 15157 7336 15157 7327 15157 7334 15158 7335 15158 7327 15158 7337 15159 7324 15159 7326 15159 7336 15160 7337 15160 7326 15160 7338 15161 7325 15161 7324 15161 7337 15162 7338 15162 7324 15162 7338 15163 7331 15163 7325 15163 7333 15164 7330 15164 7331 15164 7339 15165 7333 15165 7331 15165 7338 15166 7339 15166 7331 15166 7333 15167 7332 15167 7330 15167 7410 15168 7411 15168 7412 15168 7413 15169 7412 15169 7411 15169 7414 15170 7410 15170 7412 15170 7415 15171 7414 15171 7412 15171 7413 15172 7415 15172 7412 15172 7416 15173 7411 15173 7410 15173 7417 15174 7411 15174 7416 15174 7418 15175 7411 15175 7417 15175 7418 15176 7413 15176 7411 15176 7419 15177 7420 15177 7410 15177 7421 15178 7410 15178 7420 15178 7422 15179 7419 15179 7410 15179 7423 15180 7422 15180 7410 15180 7424 15181 7423 15181 7410 15181 7425 15182 7424 15182 7410 15182 7426 15183 7425 15183 7410 15183 7427 15184 7426 15184 7410 15184 7428 15185 7427 15185 7410 15185 7429 15186 7428 15186 7410 15186 7414 15187 7429 15187 7410 15187 7430 15188 7416 15188 7410 15188 7430 15189 7410 15189 7421 15189 7431 15190 7420 15190 7419 15190 7421 15191 7420 15191 7431 15191 7432 15192 7419 15192 7422 15192 7431 15193 7419 15193 7432 15193 7433 15194 7422 15194 7423 15194 7433 15195 7432 15195 7422 15195 7434 15196 7423 15196 7424 15196 7435 15197 7433 15197 7423 15197 7434 15198 7435 15198 7423 15198 7434 15199 7424 15199 7425 15199 7436 15200 7425 15200 7426 15200 7436 15201 7434 15201 7425 15201 7437 15202 7426 15202 7427 15202 7438 15203 7436 15203 7426 15203 7437 15204 7438 15204 7426 15204 7439 15205 7440 15205 7427 15205 7437 15206 7427 15206 7440 15206 7428 15207 7439 15207 7427 15207 7441 15208 7442 15208 7440 15208 7443 15209 7440 15209 7442 15209 7439 15210 7441 15210 7440 15210 7443 15211 7437 15211 7440 15211 7444 15212 7445 15212 7442 15212 7446 15213 7442 15213 7445 15213 7441 15214 7444 15214 7442 15214 7447 15215 7443 15215 7442 15215 7446 15216 7447 15216 7442 15216 7448 15217 7445 15217 7444 15217 7448 15218 7449 15218 7445 15218 7450 15219 7445 15219 7449 15219 7450 15220 7446 15220 7445 15220 7451 15221 7444 15221 7441 15221 7452 15222 7448 15222 7444 15222 7453 15223 7444 15223 7451 15223 7452 15224 7444 15224 7453 15224 7451 15225 7441 15225 7439 15225 7454 15226 7439 15226 7428 15226 7454 15227 7451 15227 7439 15227 7455 15228 7428 15228 7429 15228 7455 15229 7454 15229 7428 15229 7456 15230 7429 15230 7414 15230 7455 15231 7429 15231 7456 15231 7415 15232 7456 15232 7414 15232 7457 15233 7458 15233 7459 15233 7460 15234 7459 15234 7458 15234 7461 15235 7457 15235 7459 15235 7460 15236 7461 15236 7459 15236 7462 15237 7463 15237 7458 15237 7464 15238 7458 15238 7463 15238 7465 15239 7462 15239 7458 15239 7466 15240 7465 15240 7458 15240 7467 15241 7466 15241 7458 15241 7468 15242 7467 15242 7458 15242 7469 15243 7468 15243 7458 15243 7470 15244 7469 15244 7458 15244 7471 15245 7470 15245 7458 15245 7472 15246 7471 15246 7458 15246 7473 15247 7472 15247 7458 15247 7474 15248 7473 15248 7458 15248 7475 15249 7474 15249 7458 15249 7476 15250 7475 15250 7458 15250 7477 15251 7476 15251 7458 15251 7478 15252 7477 15252 7458 15252 7479 15253 7478 15253 7458 15253 7480 15254 7479 15254 7458 15254 7481 15255 7480 15255 7458 15255 7482 15256 7481 15256 7458 15256 7457 15257 7482 15257 7458 15257 7464 15258 7483 15258 7458 15258 7484 15259 7458 15259 7483 15259 7484 15260 7460 15260 7458 15260 7485 15261 7463 15261 7462 15261 7485 15262 7464 15262 7463 15262 7486 15263 7462 15263 7465 15263 7485 15264 7462 15264 7486 15264 7487 15265 7465 15265 7466 15265 7487 15266 7486 15266 7465 15266 7467 15267 7488 15267 7466 15267 7489 15268 7466 15268 7488 15268 7489 15269 7487 15269 7466 15269 7490 15270 7491 15270 7488 15270 7492 15271 7488 15271 7491 15271 7467 15272 7490 15272 7488 15272 7492 15273 7489 15273 7488 15273 7490 15274 7493 15274 7491 15274 7494 15275 7491 15275 7493 15275 7494 15276 7492 15276 7491 15276 7495 15277 7493 15277 7490 15277 7496 15278 7494 15278 7493 15278 7495 15279 7496 15279 7493 15279 7495 15280 7490 15280 7467 15280 7497 15281 7467 15281 7468 15281 7497 15282 7495 15282 7467 15282 7498 15283 7468 15283 7469 15283 7499 15284 7497 15284 7468 15284 7498 15285 7499 15285 7468 15285 7498 15286 7469 15286 7470 15286 7500 15287 7470 15287 7471 15287 7500 15288 7498 15288 7470 15288 7501 15289 7471 15289 7472 15289 7502 15290 7500 15290 7471 15290 7501 15291 7502 15291 7471 15291 7473 15292 7503 15292 7472 15292 7504 15293 7472 15293 7503 15293 7504 15294 7505 15294 7472 15294 7506 15295 7472 15295 7505 15295 7506 15296 7501 15296 7472 15296 7507 15297 7503 15297 7473 15297 7508 15298 7504 15298 7503 15298 7509 15299 7503 15299 7507 15299 7508 15300 7503 15300 7509 15300 7507 15301 7473 15301 7474 15301 7510 15302 7474 15302 7475 15302 7510 15303 7507 15303 7474 15303 7511 15304 7475 15304 7476 15304 7512 15305 7510 15305 7475 15305 7511 15306 7512 15306 7475 15306 7511 15307 7476 15307 7477 15307 7513 15308 7477 15308 7478 15308 7513 15309 7511 15309 7477 15309 7514 15310 7478 15310 7479 15310 7515 15311 7513 15311 7478 15311 7514 15312 7515 15312 7478 15312 7514 15313 7479 15313 7480 15313 7516 15314 7480 15314 7481 15314 7516 15315 7514 15315 7480 15315 7517 15316 7481 15316 7482 15316 7517 15317 7516 15317 7481 15317 7518 15318 7482 15318 7457 15318 7517 15319 7482 15319 7518 15319 7461 15320 7518 15320 7457 15320 7519 15321 7520 15321 7521 15321 7522 15322 7521 15322 7520 15322 7523 15323 7519 15323 7521 15323 7522 15324 7523 15324 7521 15324 7524 15325 7525 15325 7520 15325 7483 15326 7520 15326 7525 15326 7526 15327 7524 15327 7520 15327 7527 15328 7526 15328 7520 15328 7528 15329 7527 15329 7520 15329 7529 15330 7528 15330 7520 15330 7530 15331 7529 15331 7520 15331 7531 15332 7530 15332 7520 15332 7532 15333 7531 15333 7520 15333 7533 15334 7532 15334 7520 15334 7534 15335 7533 15335 7520 15335 7535 15336 7534 15336 7520 15336 7536 15337 7535 15337 7520 15337 7537 15338 7536 15338 7520 15338 7538 15339 7537 15339 7520 15339 7539 15340 7538 15340 7520 15340 7519 15341 7539 15341 7520 15341 7464 15342 7520 15342 7483 15342 7540 15343 7520 15343 7464 15343 7540 15344 7522 15344 7520 15344 7541 15345 7525 15345 7524 15345 7542 15346 7483 15346 7525 15346 7542 15347 7525 15347 7541 15347 7543 15348 7524 15348 7526 15348 7541 15349 7524 15349 7543 15349 7544 15350 7526 15350 7527 15350 7544 15351 7543 15351 7526 15351 7545 15352 7527 15352 7528 15352 7545 15353 7544 15353 7527 15353 7546 15354 7528 15354 7529 15354 7546 15355 7545 15355 7528 15355 7547 15356 7529 15356 7530 15356 7547 15357 7546 15357 7529 15357 7548 15358 7530 15358 7531 15358 7548 15359 7547 15359 7530 15359 7549 15360 7531 15360 7532 15360 7549 15361 7548 15361 7531 15361 7550 15362 7532 15362 7533 15362 7550 15363 7549 15363 7532 15363 7551 15364 7533 15364 7534 15364 7552 15365 7550 15365 7533 15365 7551 15366 7552 15366 7533 15366 7553 15367 7554 15367 7534 15367 7551 15368 7534 15368 7554 15368 7555 15369 7553 15369 7534 15369 7556 15370 7555 15370 7534 15370 7535 15371 7556 15371 7534 15371 7553 15372 7557 15372 7554 15372 7558 15373 7554 15373 7557 15373 7558 15374 7551 15374 7554 15374 7559 15375 7560 15375 7557 15375 7561 15376 7557 15376 7560 15376 7562 15377 7559 15377 7557 15377 7563 15378 7562 15378 7557 15378 7564 15379 7563 15379 7557 15379 7553 15380 7564 15380 7557 15380 7561 15381 7558 15381 7557 15381 7565 15382 7560 15382 7559 15382 7566 15383 7560 15383 7565 15383 7567 15384 7560 15384 7566 15384 7567 15385 7561 15385 7560 15385 7568 15386 7559 15386 7562 15386 7569 15387 7565 15387 7559 15387 7570 15388 7559 15388 7568 15388 7569 15389 7559 15389 7570 15389 7568 15390 7562 15390 7563 15390 7571 15391 7563 15391 7564 15391 7571 15392 7568 15392 7563 15392 7572 15393 7564 15393 7553 15393 7573 15394 7571 15394 7564 15394 7572 15395 7573 15395 7564 15395 7555 15396 7574 15396 7553 15396 7572 15397 7553 15397 7574 15397 7575 15398 7576 15398 7574 15398 7577 15399 7574 15399 7576 15399 7555 15400 7575 15400 7574 15400 7577 15401 7572 15401 7574 15401 7575 15402 7578 15402 7576 15402 7579 15403 7576 15403 7578 15403 7580 15404 7577 15404 7576 15404 7579 15405 7580 15405 7576 15405 7575 15406 7581 15406 7578 15406 7579 15407 7578 15407 7581 15407 7575 15408 7582 15408 7581 15408 7583 15409 7581 15409 7582 15409 7583 15410 7579 15410 7581 15410 7584 15411 7582 15411 7575 15411 7584 15412 7583 15412 7582 15412 7555 15413 7585 15413 7575 15413 7417 15414 7575 15414 7585 15414 7417 15415 7416 15415 7575 15415 7586 15416 7575 15416 7416 15416 7586 15417 7584 15417 7575 15417 7587 15418 7585 15418 7555 15418 7587 15419 7417 15419 7585 15419 7556 15420 7588 15420 7555 15420 7589 15421 7555 15421 7588 15421 7587 15422 7555 15422 7589 15422 7556 15423 7590 15423 7588 15423 7591 15424 7588 15424 7590 15424 7591 15425 7589 15425 7588 15425 7556 15426 7592 15426 7590 15426 7593 15427 7590 15427 7592 15427 7594 15428 7591 15428 7590 15428 7593 15429 7594 15429 7590 15429 7595 15430 7596 15430 7592 15430 7593 15431 7592 15431 7596 15431 7556 15432 7595 15432 7592 15432 7597 15433 7598 15433 7596 15433 7599 15434 7596 15434 7598 15434 7595 15435 7597 15435 7596 15435 7599 15436 7593 15436 7596 15436 7600 15437 7601 15437 7598 15437 7602 15438 7598 15438 7601 15438 7597 15439 7600 15439 7598 15439 7603 15440 7599 15440 7598 15440 7602 15441 7603 15441 7598 15441 7600 15442 7604 15442 7601 15442 7602 15443 7601 15443 7604 15443 7600 15444 7605 15444 7604 15444 7606 15445 7604 15445 7605 15445 7606 15446 7602 15446 7604 15446 7607 15447 7608 15447 7605 15447 7609 15448 7605 15448 7608 15448 7600 15449 7607 15449 7605 15449 7609 15450 7606 15450 7605 15450 7610 15451 7608 15451 7607 15451 7611 15452 7608 15452 7610 15452 7612 15453 7608 15453 7611 15453 7612 15454 7609 15454 7608 15454 7613 15455 7607 15455 7600 15455 7614 15456 7610 15456 7607 15456 7614 15457 7607 15457 7613 15457 7615 15458 7600 15458 7597 15458 7613 15459 7600 15459 7615 15459 7616 15460 7597 15460 7595 15460 7616 15461 7615 15461 7597 15461 7617 15462 7595 15462 7556 15462 7618 15463 7616 15463 7595 15463 7617 15464 7618 15464 7595 15464 7617 15465 7556 15465 7535 15465 7619 15466 7535 15466 7536 15466 7619 15467 7617 15467 7535 15467 7537 15468 7620 15468 7536 15468 7621 15469 7536 15469 7620 15469 7621 15470 7619 15470 7536 15470 7622 15471 7620 15471 7537 15471 7622 15472 7621 15472 7620 15472 7623 15473 7537 15473 7538 15473 7623 15474 7622 15474 7537 15474 7624 15475 7538 15475 7539 15475 7624 15476 7623 15476 7538 15476 7625 15477 7539 15477 7519 15477 7624 15478 7539 15478 7625 15478 7523 15479 7625 15479 7519 15479 7626 15480 7627 15480 7628 15480 7629 15481 7628 15481 7627 15481 7630 15482 7626 15482 7628 15482 7631 15483 7630 15483 7628 15483 7632 15484 7631 15484 7628 15484 7633 15485 7632 15485 7628 15485 7634 15486 7633 15486 7628 15486 7635 15487 7634 15487 7628 15487 7636 15488 7635 15488 7628 15488 7637 15489 7636 15489 7628 15489 7638 15490 7637 15490 7628 15490 7639 15491 7638 15491 7628 15491 7629 15492 7639 15492 7628 15492 7640 15493 7641 15493 7627 15493 7642 15494 7627 15494 7641 15494 7626 15495 7640 15495 7627 15495 7642 15496 7629 15496 7627 15496 7643 15497 7644 15497 7641 15497 7645 15498 7641 15498 7644 15498 7640 15499 7643 15499 7641 15499 7645 15500 7642 15500 7641 15500 7646 15501 7644 15501 7643 15501 7646 15502 7645 15502 7644 15502 7647 15503 7643 15503 7640 15503 7647 15504 7646 15504 7643 15504 7648 15505 7640 15505 7626 15505 7648 15506 7647 15506 7640 15506 7649 15507 7626 15507 7630 15507 7649 15508 7648 15508 7626 15508 7650 15509 7630 15509 7631 15509 7650 15510 7649 15510 7630 15510 7651 15511 7631 15511 7632 15511 7651 15512 7650 15512 7631 15512 7652 15513 7632 15513 7633 15513 7652 15514 7651 15514 7632 15514 7634 15515 7653 15515 7633 15515 7611 15516 7633 15516 7653 15516 7611 15517 7610 15517 7633 15517 7654 15518 7633 15518 7610 15518 7654 15519 7652 15519 7633 15519 7655 15520 7653 15520 7634 15520 7655 15521 7611 15521 7653 15521 7656 15522 7634 15522 7635 15522 7655 15523 7634 15523 7656 15523 7657 15524 7635 15524 7636 15524 7657 15525 7656 15525 7635 15525 7658 15526 7636 15526 7637 15526 7658 15527 7657 15527 7636 15527 7638 15528 7659 15528 7637 15528 7660 15529 7637 15529 7659 15529 7660 15530 7658 15530 7637 15530 7661 15531 7662 15531 7659 15531 7663 15532 7659 15532 7662 15532 7638 15533 7661 15533 7659 15533 7663 15534 7660 15534 7659 15534 7664 15535 7662 15535 7661 15535 7664 15536 7663 15536 7662 15536 7665 15537 7661 15537 7638 15537 7664 15538 7661 15538 7665 15538 7639 15539 7665 15539 7638 15539 7666 15540 7667 15540 7668 15540 7669 15541 7668 15541 7667 15541 7670 15542 7666 15542 7668 15542 7669 15543 7670 15543 7668 15543 7671 15544 7672 15544 7667 15544 7673 15545 7667 15545 7672 15545 7666 15546 7674 15546 7667 15546 7675 15547 7667 15547 7674 15547 7676 15548 7667 15548 7675 15548 7676 15549 7671 15549 7667 15549 7673 15550 7677 15550 7667 15550 7678 15551 7667 15551 7677 15551 7678 15552 7669 15552 7667 15552 7679 15553 7680 15553 7672 15553 7681 15554 7672 15554 7680 15554 7671 15555 7679 15555 7672 15555 7681 15556 7673 15556 7672 15556 7679 15557 7682 15557 7680 15557 7683 15558 7680 15558 7682 15558 7681 15559 7680 15559 7683 15559 7679 15560 7684 15560 7682 15560 7685 15561 7682 15561 7684 15561 7685 15562 7683 15562 7682 15562 7686 15563 7674 15563 7684 15563 7687 15564 7684 15564 7674 15564 7688 15565 7686 15565 7684 15565 7679 15566 7688 15566 7684 15566 7687 15567 7685 15567 7684 15567 7689 15568 7674 15568 7666 15568 7686 15569 7675 15569 7674 15569 7687 15570 7674 15570 7689 15570 7670 15571 7689 15571 7666 15571 7690 15572 7675 15572 7686 15572 7691 15573 7676 15573 7675 15573 7690 15574 7691 15574 7675 15574 7692 15575 7686 15575 7688 15575 7692 15576 7690 15576 7686 15576 7693 15577 7688 15577 7679 15577 7693 15578 7692 15578 7688 15578 7694 15579 7679 15579 7671 15579 7693 15580 7679 15580 7694 15580 7695 15581 7671 15581 7676 15581 7695 15582 7694 15582 7671 15582 7691 15583 7695 15583 7676 15583 7696 15584 7697 15584 7698 15584 7699 15585 7698 15585 7697 15585 7449 15586 7696 15586 7698 15586 7450 15587 7449 15587 7698 15587 7450 15588 7698 15588 7699 15588 7696 15589 7700 15589 7697 15589 7677 15590 7697 15590 7700 15590 7673 15591 7697 15591 7677 15591 7701 15592 7697 15592 7673 15592 7701 15593 7699 15593 7697 15593 7702 15594 7700 15594 7696 15594 7703 15595 7677 15595 7700 15595 7703 15596 7700 15596 7702 15596 7448 15597 7696 15597 7449 15597 7704 15598 7696 15598 7448 15598 7702 15599 7696 15599 7704 15599 7705 15600 7706 15600 7707 15600 7708 15601 7707 15601 7706 15601 7709 15602 7705 15602 7707 15602 7708 15603 7709 15603 7707 15603 7705 15604 7710 15604 7706 15604 7711 15605 7706 15605 7710 15605 7711 15606 7708 15606 7706 15606 7712 15607 7713 15607 7710 15607 7714 15608 7710 15608 7713 15608 7705 15609 7712 15609 7710 15609 7714 15610 7711 15610 7710 15610 7715 15611 7716 15611 7713 15611 7717 15612 7713 15612 7716 15612 7718 15613 7715 15613 7713 15613 7719 15614 7718 15614 7713 15614 7720 15615 7719 15615 7713 15615 7721 15616 7720 15616 7713 15616 7722 15617 7721 15617 7713 15617 7723 15618 7722 15618 7713 15618 7724 15619 7723 15619 7713 15619 7712 15620 7724 15620 7713 15620 7717 15621 7714 15621 7713 15621 7725 15622 7726 15622 7716 15622 7727 15623 7716 15623 7726 15623 7715 15624 7725 15624 7716 15624 7727 15625 7717 15625 7716 15625 7728 15626 7729 15626 7726 15626 7730 15627 7726 15627 7729 15627 7725 15628 7728 15628 7726 15628 7730 15629 7727 15629 7726 15629 7731 15630 7729 15630 7728 15630 7731 15631 7730 15631 7729 15631 7732 15632 7728 15632 7725 15632 7732 15633 7731 15633 7728 15633 7733 15634 7725 15634 7715 15634 7733 15635 7732 15635 7725 15635 7734 15636 7715 15636 7718 15636 7734 15637 7733 15637 7715 15637 7735 15638 7718 15638 7719 15638 7735 15639 7734 15639 7718 15639 7736 15640 7719 15640 7720 15640 7736 15641 7735 15641 7719 15641 7737 15642 7720 15642 7721 15642 7737 15643 7736 15643 7720 15643 7722 15644 7738 15644 7721 15644 7566 15645 7721 15645 7738 15645 7566 15646 7565 15646 7721 15646 7739 15647 7721 15647 7565 15647 7739 15648 7737 15648 7721 15648 7740 15649 7738 15649 7722 15649 7740 15650 7566 15650 7738 15650 7741 15651 7722 15651 7723 15651 7740 15652 7722 15652 7741 15652 7742 15653 7723 15653 7724 15653 7742 15654 7741 15654 7723 15654 7743 15655 7724 15655 7712 15655 7743 15656 7742 15656 7724 15656 7744 15657 7712 15657 7705 15657 7743 15658 7712 15658 7744 15658 7709 15659 7744 15659 7705 15659 7745 15660 7746 15660 7747 15660 7748 15661 7747 15661 7746 15661 7749 15662 7745 15662 7747 15662 7748 15663 7749 15663 7747 15663 7750 15664 7751 15664 7746 15664 7752 15665 7746 15665 7751 15665 7753 15666 7746 15666 7745 15666 7754 15667 7746 15667 7753 15667 7754 15668 7750 15668 7746 15668 7752 15669 7755 15669 7746 15669 7756 15670 7746 15670 7755 15670 7756 15671 7748 15671 7746 15671 7757 15672 7758 15672 7751 15672 7759 15673 7751 15673 7758 15673 7750 15674 7757 15674 7751 15674 7759 15675 7752 15675 7751 15675 7757 15676 7760 15676 7758 15676 7761 15677 7758 15677 7760 15677 7759 15678 7758 15678 7761 15678 7757 15679 7762 15679 7760 15679 7763 15680 7760 15680 7762 15680 7763 15681 7761 15681 7760 15681 7764 15682 7765 15682 7762 15682 7766 15683 7762 15683 7765 15683 7767 15684 7764 15684 7762 15684 7757 15685 7767 15685 7762 15685 7766 15686 7763 15686 7762 15686 7753 15687 7745 15687 7765 15687 7768 15688 7765 15688 7745 15688 7764 15689 7753 15689 7765 15689 7766 15690 7765 15690 7768 15690 7749 15691 7768 15691 7745 15691 7769 15692 7753 15692 7764 15692 7770 15693 7754 15693 7753 15693 7769 15694 7770 15694 7753 15694 7771 15695 7764 15695 7767 15695 7771 15696 7769 15696 7764 15696 7772 15697 7767 15697 7757 15697 7772 15698 7771 15698 7767 15698 7773 15699 7757 15699 7750 15699 7772 15700 7757 15700 7773 15700 7774 15701 7750 15701 7754 15701 7774 15702 7773 15702 7750 15702 7770 15703 7774 15703 7754 15703 7775 15704 7776 15704 7777 15704 7778 15705 7777 15705 7776 15705 7505 15706 7775 15706 7777 15706 7506 15707 7505 15707 7777 15707 7506 15708 7777 15708 7778 15708 7775 15709 7779 15709 7776 15709 7755 15710 7776 15710 7779 15710 7752 15711 7776 15711 7755 15711 7780 15712 7776 15712 7752 15712 7780 15713 7778 15713 7776 15713 7781 15714 7779 15714 7775 15714 7782 15715 7755 15715 7779 15715 7782 15716 7779 15716 7781 15716 7504 15717 7775 15717 7505 15717 7508 15718 7775 15718 7504 15718 7781 15719 7775 15719 7783 15719 7508 15720 7783 15720 7775 15720 7430 15721 7586 15721 7416 15721 7784 15722 7418 15722 7417 15722 7784 15723 7417 15723 7587 15723 7542 15724 7484 15724 7483 15724 7785 15725 7540 15725 7464 15725 7785 15726 7464 15726 7485 15726 7569 15727 7739 15727 7565 15727 7786 15728 7567 15728 7566 15728 7786 15729 7566 15729 7740 15729 7614 15730 7654 15730 7610 15730 7787 15731 7612 15731 7611 15731 7787 15732 7611 15732 7655 15732 7782 15733 7756 15733 7755 15733 7788 15734 7752 15734 7759 15734 7788 15735 7780 15735 7752 15735 7703 15736 7678 15736 7677 15736 7789 15737 7673 15737 7681 15737 7789 15738 7701 15738 7673 15738 7452 15739 7704 15739 7448 15739 7455 15740 7456 15740 7415 15740 7438 15741 7415 15741 7413 15741 7437 15742 7415 15742 7438 15742 7455 15743 7415 15743 7437 15743 7418 15744 7438 15744 7413 15744 7433 15745 7431 15745 7432 15745 7435 15746 7431 15746 7433 15746 7434 15747 7431 15747 7435 15747 7436 15748 7431 15748 7434 15748 7438 15749 7431 15749 7436 15749 7418 15750 7431 15750 7438 15750 7418 15751 7421 15751 7431 15751 7455 15752 7437 15752 7443 15752 7454 15753 7443 15753 7447 15753 7455 15754 7443 15754 7454 15754 7454 15755 7447 15755 7451 15755 7446 15756 7451 15756 7447 15756 7446 15757 7453 15757 7451 15757 7541 15758 7625 15758 7523 15758 7541 15759 7624 15759 7625 15759 7541 15760 7523 15760 7522 15760 7540 15761 7541 15761 7522 15761 7541 15762 7543 15762 7544 15762 7541 15763 7544 15763 7545 15763 7541 15764 7545 15764 7546 15764 7541 15765 7546 15765 7547 15765 7549 15766 7547 15766 7548 15766 7541 15767 7547 15767 7549 15767 7541 15768 7549 15768 7550 15768 7587 15769 7550 15769 7552 15769 7591 15770 7550 15770 7589 15770 7587 15771 7589 15771 7550 15771 7594 15772 7550 15772 7591 15772 7593 15773 7550 15773 7594 15773 7541 15774 7550 15774 7593 15774 7587 15775 7552 15775 7551 15775 7587 15776 7551 15776 7558 15776 7587 15777 7558 15777 7561 15777 7587 15778 7561 15778 7573 15778 7567 15779 7573 15779 7561 15779 7567 15780 7568 15780 7571 15780 7567 15781 7570 15781 7568 15781 7567 15782 7571 15782 7573 15782 7587 15783 7573 15783 7572 15783 7587 15784 7572 15784 7577 15784 7587 15785 7577 15785 7580 15785 7587 15786 7580 15786 7579 15786 7587 15787 7579 15787 7583 15787 7587 15788 7583 15788 7584 15788 7586 15789 7587 15789 7584 15789 7618 15790 7593 15790 7599 15790 7541 15791 7593 15791 7618 15791 7616 15792 7599 15792 7603 15792 7618 15793 7599 15793 7616 15793 7606 15794 7603 15794 7602 15794 7616 15795 7603 15795 7606 15795 7615 15796 7606 15796 7609 15796 7616 15797 7606 15797 7615 15797 7612 15798 7615 15798 7609 15798 7612 15799 7613 15799 7615 15799 7541 15800 7618 15800 7617 15800 7541 15801 7617 15801 7619 15801 7541 15802 7619 15802 7621 15802 7541 15803 7621 15803 7622 15803 7541 15804 7622 15804 7623 15804 7541 15805 7623 15805 7624 15805 7485 15806 7518 15806 7461 15806 7517 15807 7518 15807 7513 15807 7485 15808 7513 15808 7518 15808 7485 15809 7461 15809 7460 15809 7484 15810 7485 15810 7460 15810 7485 15811 7486 15811 7487 15811 7485 15812 7487 15812 7489 15812 7485 15813 7489 15813 7492 15813 7485 15814 7492 15814 7494 15814 7485 15815 7494 15815 7496 15815 7485 15816 7496 15816 7495 15816 7485 15817 7495 15817 7497 15817 7485 15818 7497 15818 7499 15818 7485 15819 7499 15819 7498 15819 7485 15820 7498 15820 7500 15820 7509 15821 7500 15821 7502 15821 7485 15822 7500 15822 7509 15822 7501 15823 7509 15823 7502 15823 7485 15824 7507 15824 7510 15824 7485 15825 7509 15825 7507 15825 7485 15826 7510 15826 7512 15826 7485 15827 7512 15827 7511 15827 7485 15828 7511 15828 7513 15828 7517 15829 7513 15829 7515 15829 7516 15830 7515 15830 7514 15830 7517 15831 7515 15831 7516 15831 7664 15832 7665 15832 7639 15832 7663 15833 7639 15833 7629 15833 7664 15834 7639 15834 7663 15834 7660 15835 7629 15835 7642 15835 7663 15836 7629 15836 7660 15836 7649 15837 7642 15837 7645 15837 7650 15838 7642 15838 7649 15838 7651 15839 7642 15839 7650 15839 7652 15840 7642 15840 7651 15840 7655 15841 7642 15841 7652 15841 7657 15842 7642 15842 7656 15842 7655 15843 7656 15843 7642 15843 7658 15844 7642 15844 7657 15844 7660 15845 7642 15845 7658 15845 7648 15846 7645 15846 7646 15846 7649 15847 7645 15847 7648 15847 7648 15848 7646 15848 7647 15848 7655 15849 7652 15849 7654 15849 7717 15850 7744 15850 7709 15850 7727 15851 7744 15851 7717 15851 7743 15852 7744 15852 7727 15852 7714 15853 7709 15853 7708 15853 7717 15854 7709 15854 7714 15854 7714 15855 7708 15855 7711 15855 7734 15856 7727 15856 7730 15856 7735 15857 7727 15857 7734 15857 7736 15858 7727 15858 7735 15858 7737 15859 7727 15859 7736 15859 7740 15860 7727 15860 7737 15860 7742 15861 7727 15861 7741 15861 7740 15862 7741 15862 7727 15862 7743 15863 7727 15863 7742 15863 7733 15864 7730 15864 7731 15864 7734 15865 7730 15865 7733 15865 7733 15866 7731 15866 7732 15866 7739 15867 7740 15867 7737 15867 7681 15868 7694 15868 7695 15868 7687 15869 7693 15869 7694 15869 7681 15870 7687 15870 7694 15870 7681 15871 7695 15871 7691 15871 7669 15872 7691 15872 7690 15872 7678 15873 7691 15873 7669 15873 7681 15874 7691 15874 7678 15874 7689 15875 7690 15875 7692 15875 7670 15876 7690 15876 7689 15876 7669 15877 7690 15877 7670 15877 7689 15878 7692 15878 7693 15878 7687 15879 7689 15879 7693 15879 7681 15880 7683 15880 7685 15880 7681 15881 7685 15881 7687 15881 7759 15882 7773 15882 7774 15882 7766 15883 7772 15883 7773 15883 7759 15884 7766 15884 7773 15884 7759 15885 7774 15885 7770 15885 7748 15886 7770 15886 7769 15886 7756 15887 7770 15887 7748 15887 7759 15888 7770 15888 7756 15888 7768 15889 7769 15889 7771 15889 7749 15890 7769 15890 7768 15890 7748 15891 7769 15891 7749 15891 7768 15892 7771 15892 7772 15892 7766 15893 7768 15893 7772 15893 7759 15894 7761 15894 7763 15894 7759 15895 7763 15895 7766 15895 7450 15896 7453 15896 7446 15896 7450 15897 7452 15897 7453 15897 7784 15898 7421 15898 7418 15898 7430 15899 7421 15899 7784 15899 7787 15900 7613 15900 7612 15900 7614 15901 7613 15901 7787 15901 7430 15902 7587 15902 7586 15902 7430 15903 7784 15903 7587 15903 7786 15904 7570 15904 7567 15904 7569 15905 7570 15905 7786 15905 7785 15906 7541 15906 7540 15906 7542 15907 7541 15907 7785 15907 7506 15908 7509 15908 7501 15908 7506 15909 7508 15909 7509 15909 7542 15910 7485 15910 7484 15910 7542 15911 7785 15911 7485 15911 7614 15912 7655 15912 7654 15912 7614 15913 7787 15913 7655 15913 7569 15914 7740 15914 7739 15914 7569 15915 7786 15915 7740 15915 7703 15916 7681 15916 7678 15916 7703 15917 7789 15917 7681 15917 7702 15918 7704 15918 7699 15918 7452 15919 7699 15919 7704 15919 7701 15920 7702 15920 7699 15920 7450 15921 7699 15921 7452 15921 7789 15922 7702 15922 7701 15922 7703 15923 7702 15923 7789 15923 7782 15924 7759 15924 7756 15924 7782 15925 7788 15925 7759 15925 7781 15926 7783 15926 7778 15926 7508 15927 7778 15927 7783 15927 7780 15928 7781 15928 7778 15928 7506 15929 7778 15929 7508 15929 7788 15930 7781 15930 7780 15930 7782 15931 7781 15931 7788 15931 7790 15932 7791 15932 7792 15932 7793 15933 7792 15933 7791 15933 7794 15934 7790 15934 7792 15934 7795 15935 7792 15935 7796 15935 7797 15936 7796 15936 7792 15936 7795 15937 7798 15937 7792 15937 7794 15938 7792 15938 7798 15938 7793 15939 7797 15939 7792 15939 7799 15940 7791 15940 7790 15940 7799 15941 7793 15941 7791 15941 7800 15942 7801 15942 7790 15942 7802 15943 7790 15943 7801 15943 7794 15944 7800 15944 7790 15944 7802 15945 7799 15945 7790 15945 7796 15946 7803 15946 7801 15946 7804 15947 7801 15947 7803 15947 7805 15948 7796 15948 7801 15948 7806 15949 7805 15949 7801 15949 7800 15950 7806 15950 7801 15950 7802 15951 7801 15951 7804 15951 7807 15952 7803 15952 7796 15952 7807 15953 7804 15953 7803 15953 7805 15954 7795 15954 7796 15954 7797 15955 7807 15955 7796 15955 7808 15956 7798 15956 7795 15956 7809 15957 7794 15957 7798 15957 7808 15958 7809 15958 7798 15958 7810 15959 7795 15959 7805 15959 7808 15960 7795 15960 7810 15960 7811 15961 7805 15961 7806 15961 7810 15962 7805 15962 7811 15962 7812 15963 7806 15963 7800 15963 7811 15964 7806 15964 7812 15964 7813 15965 7800 15965 7794 15965 7812 15966 7800 15966 7813 15966 7813 15967 7794 15967 7809 15967 7814 15968 7804 15968 7807 15968 7815 15969 7804 15969 7814 15969 7815 15970 7802 15970 7804 15970 7816 15971 7807 15971 7797 15971 7817 15972 7814 15972 7807 15972 7816 15973 7817 15973 7807 15973 7818 15974 7797 15974 7793 15974 7818 15975 7816 15975 7797 15975 7819 15976 7818 15976 7793 15976 7799 15977 7819 15977 7793 15977 7820 15978 7814 15978 7817 15978 7821 15979 7814 15979 7820 15979 7815 15980 7814 15980 7821 15980 7820 15981 7817 15981 7816 15981 7822 15982 7816 15982 7818 15982 7822 15983 7820 15983 7816 15983 7822 15984 7818 15984 7819 15984 7823 15985 7822 15985 7819 15985 7824 15986 7823 15986 7819 15986 7824 15987 7819 15987 7799 15987 7825 15988 7820 15988 7822 15988 7825 15989 7826 15989 7820 15989 7821 15990 7820 15990 7826 15990 7827 15991 7822 15991 7823 15991 7827 15992 7825 15992 7822 15992 7827 15993 7823 15993 7828 15993 7821 15994 7828 15994 7823 15994 7829 15995 7821 15995 7823 15995 7829 15996 7823 15996 7824 15996 7821 15997 7826 15997 7828 15997 7830 15998 7828 15998 7826 15998 7831 15999 7827 15999 7828 15999 7830 16000 7831 16000 7828 16000 7832 16001 7826 16001 7825 16001 7832 16002 7830 16002 7826 16002 7833 16003 7825 16003 7827 16003 7832 16004 7825 16004 7833 16004 7831 16005 7833 16005 7827 16005 7815 16006 7821 16006 7829 16006 7830 16007 7833 16007 7831 16007 7832 16008 7833 16008 7830 16008 7829 16009 7799 16009 7802 16009 7829 16010 7824 16010 7799 16010 7815 16011 7829 16011 7802 16011 7812 16012 7813 16012 7809 16012 7808 16013 7812 16013 7809 16013 7808 16014 7811 16014 7812 16014 7808 16015 7810 16015 7811 16015 7834 16016 7835 16016 7836 16016 7837 16017 7836 16017 7835 16017 7838 16018 7834 16018 7836 16018 7839 16019 7836 16019 7840 16019 7841 16020 7840 16020 7836 16020 7839 16021 7842 16021 7836 16021 7838 16022 7836 16022 7842 16022 7837 16023 7841 16023 7836 16023 7843 16024 7835 16024 7834 16024 7843 16025 7837 16025 7835 16025 7844 16026 7845 16026 7834 16026 7846 16027 7834 16027 7845 16027 7838 16028 7844 16028 7834 16028 7846 16029 7843 16029 7834 16029 7840 16030 7847 16030 7845 16030 7848 16031 7845 16031 7847 16031 7849 16032 7840 16032 7845 16032 7850 16033 7849 16033 7845 16033 7844 16034 7850 16034 7845 16034 7846 16035 7845 16035 7848 16035 7851 16036 7847 16036 7840 16036 7851 16037 7848 16037 7847 16037 7849 16038 7839 16038 7840 16038 7841 16039 7851 16039 7840 16039 7852 16040 7842 16040 7839 16040 7853 16041 7838 16041 7842 16041 7852 16042 7853 16042 7842 16042 7854 16043 7839 16043 7849 16043 7852 16044 7839 16044 7854 16044 7855 16045 7849 16045 7850 16045 7854 16046 7849 16046 7855 16046 7856 16047 7850 16047 7844 16047 7855 16048 7850 16048 7856 16048 7857 16049 7844 16049 7838 16049 7856 16050 7844 16050 7857 16050 7857 16051 7838 16051 7853 16051 7858 16052 7848 16052 7851 16052 7859 16053 7848 16053 7858 16053 7859 16054 7846 16054 7848 16054 7860 16055 7851 16055 7841 16055 7861 16056 7858 16056 7851 16056 7860 16057 7861 16057 7851 16057 7862 16058 7841 16058 7837 16058 7862 16059 7860 16059 7841 16059 7863 16060 7862 16060 7837 16060 7843 16061 7863 16061 7837 16061 7864 16062 7858 16062 7861 16062 7865 16063 7858 16063 7864 16063 7859 16064 7858 16064 7865 16064 7864 16065 7861 16065 7860 16065 7866 16066 7860 16066 7862 16066 7866 16067 7864 16067 7860 16067 7866 16068 7862 16068 7863 16068 7867 16069 7866 16069 7863 16069 7868 16070 7867 16070 7863 16070 7868 16071 7863 16071 7843 16071 7869 16072 7864 16072 7866 16072 7869 16073 7870 16073 7864 16073 7865 16074 7864 16074 7870 16074 7871 16075 7866 16075 7867 16075 7871 16076 7869 16076 7866 16076 7871 16077 7867 16077 7872 16077 7865 16078 7872 16078 7867 16078 7873 16079 7865 16079 7867 16079 7873 16080 7867 16080 7868 16080 7865 16081 7870 16081 7872 16081 7874 16082 7872 16082 7870 16082 7875 16083 7871 16083 7872 16083 7874 16084 7875 16084 7872 16084 7876 16085 7870 16085 7869 16085 7876 16086 7874 16086 7870 16086 7877 16087 7869 16087 7871 16087 7876 16088 7869 16088 7877 16088 7875 16089 7877 16089 7871 16089 7859 16090 7865 16090 7873 16090 7874 16091 7877 16091 7875 16091 7876 16092 7877 16092 7874 16092 7873 16093 7843 16093 7846 16093 7873 16094 7868 16094 7843 16094 7859 16095 7873 16095 7846 16095 7856 16096 7857 16096 7853 16096 7852 16097 7856 16097 7853 16097 7852 16098 7855 16098 7856 16098 7852 16099 7854 16099 7855 16099 7878 16100 7879 16100 7880 16100 7881 16101 7880 16101 7879 16101 7882 16102 7878 16102 7880 16102 7883 16103 7880 16103 7884 16103 7885 16104 7884 16104 7880 16104 7883 16105 7886 16105 7880 16105 7882 16106 7880 16106 7886 16106 7881 16107 7885 16107 7880 16107 7887 16108 7879 16108 7878 16108 7887 16109 7881 16109 7879 16109 7888 16110 7889 16110 7878 16110 7890 16111 7878 16111 7889 16111 7882 16112 7888 16112 7878 16112 7890 16113 7887 16113 7878 16113 7884 16114 7891 16114 7889 16114 7892 16115 7889 16115 7891 16115 7893 16116 7884 16116 7889 16116 7894 16117 7893 16117 7889 16117 7888 16118 7894 16118 7889 16118 7890 16119 7889 16119 7892 16119 7895 16120 7891 16120 7884 16120 7895 16121 7892 16121 7891 16121 7893 16122 7883 16122 7884 16122 7885 16123 7895 16123 7884 16123 7896 16124 7886 16124 7883 16124 7897 16125 7882 16125 7886 16125 7896 16126 7897 16126 7886 16126 7898 16127 7883 16127 7893 16127 7896 16128 7883 16128 7898 16128 7899 16129 7893 16129 7894 16129 7898 16130 7893 16130 7899 16130 7900 16131 7894 16131 7888 16131 7899 16132 7894 16132 7900 16132 7901 16133 7888 16133 7882 16133 7900 16134 7888 16134 7901 16134 7901 16135 7882 16135 7897 16135 7902 16136 7892 16136 7895 16136 7903 16137 7892 16137 7902 16137 7903 16138 7890 16138 7892 16138 7904 16139 7895 16139 7885 16139 7905 16140 7902 16140 7895 16140 7904 16141 7905 16141 7895 16141 7906 16142 7885 16142 7881 16142 7906 16143 7904 16143 7885 16143 7907 16144 7906 16144 7881 16144 7887 16145 7907 16145 7881 16145 7908 16146 7902 16146 7905 16146 7909 16147 7902 16147 7908 16147 7903 16148 7902 16148 7909 16148 7908 16149 7905 16149 7904 16149 7910 16150 7904 16150 7906 16150 7910 16151 7908 16151 7904 16151 7910 16152 7906 16152 7907 16152 7911 16153 7910 16153 7907 16153 7912 16154 7911 16154 7907 16154 7912 16155 7907 16155 7887 16155 7913 16156 7908 16156 7910 16156 7913 16157 7914 16157 7908 16157 7909 16158 7908 16158 7914 16158 7915 16159 7910 16159 7911 16159 7915 16160 7913 16160 7910 16160 7915 16161 7911 16161 7916 16161 7909 16162 7916 16162 7911 16162 7917 16163 7909 16163 7911 16163 7917 16164 7911 16164 7912 16164 7909 16165 7914 16165 7916 16165 7918 16166 7916 16166 7914 16166 7919 16167 7915 16167 7916 16167 7918 16168 7919 16168 7916 16168 7920 16169 7914 16169 7913 16169 7920 16170 7918 16170 7914 16170 7921 16171 7913 16171 7915 16171 7920 16172 7913 16172 7921 16172 7919 16173 7921 16173 7915 16173 7903 16174 7909 16174 7917 16174 7918 16175 7921 16175 7919 16175 7920 16176 7921 16176 7918 16176 7917 16177 7887 16177 7890 16177 7917 16178 7912 16178 7887 16178 7903 16179 7917 16179 7890 16179 7900 16180 7901 16180 7897 16180 7896 16181 7900 16181 7897 16181 7896 16182 7899 16182 7900 16182 7896 16183 7898 16183 7899 16183 7922 16184 7923 16184 7924 16184 7925 16185 7924 16185 7923 16185 7926 16186 7922 16186 7924 16186 7927 16187 7924 16187 7928 16187 7929 16188 7928 16188 7924 16188 7927 16189 7930 16189 7924 16189 7926 16190 7924 16190 7930 16190 7925 16191 7929 16191 7924 16191 7931 16192 7923 16192 7922 16192 7931 16193 7925 16193 7923 16193 7932 16194 7933 16194 7922 16194 7934 16195 7922 16195 7933 16195 7926 16196 7932 16196 7922 16196 7934 16197 7931 16197 7922 16197 7928 16198 7935 16198 7933 16198 7936 16199 7933 16199 7935 16199 7937 16200 7928 16200 7933 16200 7938 16201 7937 16201 7933 16201 7932 16202 7938 16202 7933 16202 7934 16203 7933 16203 7936 16203 7939 16204 7935 16204 7928 16204 7939 16205 7936 16205 7935 16205 7937 16206 7927 16206 7928 16206 7929 16207 7939 16207 7928 16207 7940 16208 7930 16208 7927 16208 7941 16209 7926 16209 7930 16209 7940 16210 7941 16210 7930 16210 7942 16211 7927 16211 7937 16211 7940 16212 7927 16212 7942 16212 7943 16213 7937 16213 7938 16213 7942 16214 7937 16214 7943 16214 7944 16215 7938 16215 7932 16215 7943 16216 7938 16216 7944 16216 7945 16217 7932 16217 7926 16217 7944 16218 7932 16218 7945 16218 7945 16219 7926 16219 7941 16219 7946 16220 7936 16220 7939 16220 7947 16221 7936 16221 7946 16221 7947 16222 7934 16222 7936 16222 7948 16223 7939 16223 7929 16223 7949 16224 7946 16224 7939 16224 7948 16225 7949 16225 7939 16225 7950 16226 7929 16226 7925 16226 7950 16227 7948 16227 7929 16227 7951 16228 7950 16228 7925 16228 7931 16229 7951 16229 7925 16229 7952 16230 7946 16230 7949 16230 7953 16231 7946 16231 7952 16231 7947 16232 7946 16232 7953 16232 7952 16233 7949 16233 7948 16233 7954 16234 7948 16234 7950 16234 7954 16235 7952 16235 7948 16235 7954 16236 7950 16236 7951 16236 7955 16237 7954 16237 7951 16237 7956 16238 7955 16238 7951 16238 7956 16239 7951 16239 7931 16239 7957 16240 7952 16240 7954 16240 7957 16241 7958 16241 7952 16241 7953 16242 7952 16242 7958 16242 7959 16243 7954 16243 7955 16243 7959 16244 7957 16244 7954 16244 7959 16245 7955 16245 7960 16245 7953 16246 7960 16246 7955 16246 7961 16247 7953 16247 7955 16247 7961 16248 7955 16248 7956 16248 7953 16249 7958 16249 7960 16249 7962 16250 7960 16250 7958 16250 7963 16251 7959 16251 7960 16251 7962 16252 7963 16252 7960 16252 7964 16253 7958 16253 7957 16253 7964 16254 7962 16254 7958 16254 7965 16255 7957 16255 7959 16255 7964 16256 7957 16256 7965 16256 7963 16257 7965 16257 7959 16257 7947 16258 7953 16258 7961 16258 7962 16259 7965 16259 7963 16259 7964 16260 7965 16260 7962 16260 7961 16261 7931 16261 7934 16261 7961 16262 7956 16262 7931 16262 7947 16263 7961 16263 7934 16263 7944 16264 7945 16264 7941 16264 7940 16265 7944 16265 7941 16265 7940 16266 7943 16266 7944 16266 7940 16267 7942 16267 7943 16267 7966 16268 7967 16268 7968 16268 7969 16269 7968 16269 7967 16269 7970 16270 7966 16270 7968 16270 7971 16271 7968 16271 7972 16271 7973 16272 7972 16272 7968 16272 7971 16273 7974 16273 7968 16273 7970 16274 7968 16274 7974 16274 7969 16275 7973 16275 7968 16275 7975 16276 7967 16276 7966 16276 7975 16277 7969 16277 7967 16277 7976 16278 7977 16278 7966 16278 7978 16279 7966 16279 7977 16279 7970 16280 7976 16280 7966 16280 7978 16281 7975 16281 7966 16281 7972 16282 7979 16282 7977 16282 7980 16283 7977 16283 7979 16283 7981 16284 7972 16284 7977 16284 7982 16285 7981 16285 7977 16285 7976 16286 7982 16286 7977 16286 7978 16287 7977 16287 7980 16287 7983 16288 7979 16288 7972 16288 7983 16289 7980 16289 7979 16289 7981 16290 7971 16290 7972 16290 7973 16291 7983 16291 7972 16291 7984 16292 7974 16292 7971 16292 7985 16293 7970 16293 7974 16293 7984 16294 7985 16294 7974 16294 7986 16295 7971 16295 7981 16295 7984 16296 7971 16296 7986 16296 7987 16297 7981 16297 7982 16297 7986 16298 7981 16298 7987 16298 7988 16299 7982 16299 7976 16299 7987 16300 7982 16300 7988 16300 7989 16301 7976 16301 7970 16301 7988 16302 7976 16302 7989 16302 7989 16303 7970 16303 7985 16303 7990 16304 7980 16304 7983 16304 7991 16305 7980 16305 7990 16305 7991 16306 7978 16306 7980 16306 7992 16307 7983 16307 7973 16307 7993 16308 7990 16308 7983 16308 7992 16309 7993 16309 7983 16309 7994 16310 7973 16310 7969 16310 7994 16311 7992 16311 7973 16311 7995 16312 7994 16312 7969 16312 7975 16313 7995 16313 7969 16313 7996 16314 7990 16314 7993 16314 7997 16315 7990 16315 7996 16315 7991 16316 7990 16316 7997 16316 7996 16317 7993 16317 7992 16317 7998 16318 7992 16318 7994 16318 7998 16319 7996 16319 7992 16319 7998 16320 7994 16320 7995 16320 7999 16321 7998 16321 7995 16321 8000 16322 7999 16322 7995 16322 8000 16323 7995 16323 7975 16323 8001 16324 7996 16324 7998 16324 8001 16325 8002 16325 7996 16325 7997 16326 7996 16326 8002 16326 8003 16327 7998 16327 7999 16327 8003 16328 8001 16328 7998 16328 8003 16329 7999 16329 8004 16329 7997 16330 8004 16330 7999 16330 8005 16331 7997 16331 7999 16331 8005 16332 7999 16332 8000 16332 7997 16333 8002 16333 8004 16333 8006 16334 8004 16334 8002 16334 8007 16335 8003 16335 8004 16335 8006 16336 8007 16336 8004 16336 8008 16337 8002 16337 8001 16337 8008 16338 8006 16338 8002 16338 8009 16339 8001 16339 8003 16339 8008 16340 8001 16340 8009 16340 8007 16341 8009 16341 8003 16341 7991 16342 7997 16342 8005 16342 8006 16343 8009 16343 8007 16343 8008 16344 8009 16344 8006 16344 8005 16345 7975 16345 7978 16345 8005 16346 8000 16346 7975 16346 7991 16347 8005 16347 7978 16347 7988 16348 7989 16348 7985 16348 7984 16349 7988 16349 7985 16349 7984 16350 7987 16350 7988 16350 7984 16351 7986 16351 7987 16351 8010 16352 8011 16352 8012 16352 8013 16353 8012 16353 8011 16353 8014 16354 8010 16354 8012 16354 8015 16355 8012 16355 8016 16355 8017 16356 8016 16356 8012 16356 8015 16357 8018 16357 8012 16357 8014 16358 8012 16358 8018 16358 8013 16359 8017 16359 8012 16359 8019 16360 8011 16360 8010 16360 8019 16361 8013 16361 8011 16361 8020 16362 8021 16362 8010 16362 8022 16363 8010 16363 8021 16363 8014 16364 8020 16364 8010 16364 8022 16365 8019 16365 8010 16365 8016 16366 8023 16366 8021 16366 8024 16367 8021 16367 8023 16367 8025 16368 8016 16368 8021 16368 8026 16369 8025 16369 8021 16369 8020 16370 8026 16370 8021 16370 8022 16371 8021 16371 8024 16371 8027 16372 8023 16372 8016 16372 8027 16373 8024 16373 8023 16373 8025 16374 8015 16374 8016 16374 8017 16375 8027 16375 8016 16375 8028 16376 8018 16376 8015 16376 8029 16377 8014 16377 8018 16377 8028 16378 8029 16378 8018 16378 8030 16379 8015 16379 8025 16379 8028 16380 8015 16380 8030 16380 8031 16381 8025 16381 8026 16381 8030 16382 8025 16382 8031 16382 8032 16383 8026 16383 8020 16383 8031 16384 8026 16384 8032 16384 8033 16385 8020 16385 8014 16385 8032 16386 8020 16386 8033 16386 8033 16387 8014 16387 8029 16387 8034 16388 8024 16388 8027 16388 8035 16389 8024 16389 8034 16389 8035 16390 8022 16390 8024 16390 8036 16391 8027 16391 8017 16391 8037 16392 8034 16392 8027 16392 8036 16393 8037 16393 8027 16393 8038 16394 8017 16394 8013 16394 8038 16395 8036 16395 8017 16395 8039 16396 8038 16396 8013 16396 8019 16397 8039 16397 8013 16397 8040 16398 8034 16398 8037 16398 8041 16399 8034 16399 8040 16399 8035 16400 8034 16400 8041 16400 8040 16401 8037 16401 8036 16401 8042 16402 8036 16402 8038 16402 8042 16403 8040 16403 8036 16403 8042 16404 8038 16404 8039 16404 8043 16405 8042 16405 8039 16405 8044 16406 8043 16406 8039 16406 8044 16407 8039 16407 8019 16407 8045 16408 8040 16408 8042 16408 8045 16409 8046 16409 8040 16409 8041 16410 8040 16410 8046 16410 8047 16411 8042 16411 8043 16411 8047 16412 8045 16412 8042 16412 8047 16413 8043 16413 8048 16413 8041 16414 8048 16414 8043 16414 8049 16415 8041 16415 8043 16415 8049 16416 8043 16416 8044 16416 8041 16417 8046 16417 8048 16417 8050 16418 8048 16418 8046 16418 8051 16419 8047 16419 8048 16419 8050 16420 8051 16420 8048 16420 8052 16421 8046 16421 8045 16421 8052 16422 8050 16422 8046 16422 8053 16423 8045 16423 8047 16423 8052 16424 8045 16424 8053 16424 8051 16425 8053 16425 8047 16425 8035 16426 8041 16426 8049 16426 8050 16427 8053 16427 8051 16427 8052 16428 8053 16428 8050 16428 8049 16429 8019 16429 8022 16429 8049 16430 8044 16430 8019 16430 8035 16431 8049 16431 8022 16431 8032 16432 8033 16432 8029 16432 8028 16433 8032 16433 8029 16433 8028 16434 8031 16434 8032 16434 8028 16435 8030 16435 8031 16435 8054 16436 8055 16436 8056 16436 8057 16437 8056 16437 8055 16437 8058 16438 8054 16438 8056 16438 8059 16439 8056 16439 8060 16439 8061 16440 8060 16440 8056 16440 8059 16441 8062 16441 8056 16441 8058 16442 8056 16442 8062 16442 8057 16443 8061 16443 8056 16443 8063 16444 8055 16444 8054 16444 8063 16445 8057 16445 8055 16445 8064 16446 8065 16446 8054 16446 8066 16447 8054 16447 8065 16447 8058 16448 8064 16448 8054 16448 8066 16449 8063 16449 8054 16449 8060 16450 8067 16450 8065 16450 8068 16451 8065 16451 8067 16451 8069 16452 8060 16452 8065 16452 8070 16453 8069 16453 8065 16453 8064 16454 8070 16454 8065 16454 8066 16455 8065 16455 8068 16455 8071 16456 8067 16456 8060 16456 8071 16457 8068 16457 8067 16457 8069 16458 8059 16458 8060 16458 8061 16459 8071 16459 8060 16459 8072 16460 8062 16460 8059 16460 8073 16461 8058 16461 8062 16461 8072 16462 8073 16462 8062 16462 8074 16463 8059 16463 8069 16463 8072 16464 8059 16464 8074 16464 8075 16465 8069 16465 8070 16465 8074 16466 8069 16466 8075 16466 8076 16467 8070 16467 8064 16467 8075 16468 8070 16468 8076 16468 8077 16469 8064 16469 8058 16469 8076 16470 8064 16470 8077 16470 8077 16471 8058 16471 8073 16471 8078 16472 8068 16472 8071 16472 8079 16473 8068 16473 8078 16473 8079 16474 8066 16474 8068 16474 8080 16475 8071 16475 8061 16475 8081 16476 8078 16476 8071 16476 8080 16477 8081 16477 8071 16477 8082 16478 8061 16478 8057 16478 8082 16479 8080 16479 8061 16479 8083 16480 8082 16480 8057 16480 8063 16481 8083 16481 8057 16481 8084 16482 8078 16482 8081 16482 8085 16483 8078 16483 8084 16483 8079 16484 8078 16484 8085 16484 8084 16485 8081 16485 8080 16485 8086 16486 8080 16486 8082 16486 8086 16487 8084 16487 8080 16487 8086 16488 8082 16488 8083 16488 8087 16489 8086 16489 8083 16489 8088 16490 8087 16490 8083 16490 8088 16491 8083 16491 8063 16491 8089 16492 8084 16492 8086 16492 8089 16493 8090 16493 8084 16493 8085 16494 8084 16494 8090 16494 8091 16495 8086 16495 8087 16495 8091 16496 8089 16496 8086 16496 8091 16497 8087 16497 8092 16497 8085 16498 8092 16498 8087 16498 8093 16499 8085 16499 8087 16499 8093 16500 8087 16500 8088 16500 8085 16501 8090 16501 8092 16501 8094 16502 8092 16502 8090 16502 8095 16503 8091 16503 8092 16503 8094 16504 8095 16504 8092 16504 8096 16505 8090 16505 8089 16505 8096 16506 8094 16506 8090 16506 8097 16507 8089 16507 8091 16507 8096 16508 8089 16508 8097 16508 8095 16509 8097 16509 8091 16509 8079 16510 8085 16510 8093 16510 8094 16511 8097 16511 8095 16511 8096 16512 8097 16512 8094 16512 8093 16513 8063 16513 8066 16513 8093 16514 8088 16514 8063 16514 8079 16515 8093 16515 8066 16515 8076 16516 8077 16516 8073 16516 8072 16517 8076 16517 8073 16517 8072 16518 8075 16518 8076 16518 8072 16519 8074 16519 8075 16519 8098 16520 8099 16520 8100 16520 8101 16521 8100 16521 8099 16521 8102 16522 8098 16522 8100 16522 8103 16523 8100 16523 8104 16523 8105 16524 8104 16524 8100 16524 8103 16525 8106 16525 8100 16525 8102 16526 8100 16526 8106 16526 8101 16527 8105 16527 8100 16527 8107 16528 8099 16528 8098 16528 8107 16529 8101 16529 8099 16529 8108 16530 8109 16530 8098 16530 8110 16531 8098 16531 8109 16531 8102 16532 8108 16532 8098 16532 8110 16533 8107 16533 8098 16533 8104 16534 8111 16534 8109 16534 8112 16535 8109 16535 8111 16535 8113 16536 8104 16536 8109 16536 8114 16537 8113 16537 8109 16537 8108 16538 8114 16538 8109 16538 8110 16539 8109 16539 8112 16539 8115 16540 8111 16540 8104 16540 8115 16541 8112 16541 8111 16541 8113 16542 8103 16542 8104 16542 8105 16543 8115 16543 8104 16543 8116 16544 8106 16544 8103 16544 8117 16545 8102 16545 8106 16545 8116 16546 8117 16546 8106 16546 8118 16547 8103 16547 8113 16547 8116 16548 8103 16548 8118 16548 8119 16549 8113 16549 8114 16549 8118 16550 8113 16550 8119 16550 8120 16551 8114 16551 8108 16551 8119 16552 8114 16552 8120 16552 8121 16553 8108 16553 8102 16553 8120 16554 8108 16554 8121 16554 8121 16555 8102 16555 8117 16555 8122 16556 8112 16556 8115 16556 8123 16557 8112 16557 8122 16557 8123 16558 8110 16558 8112 16558 8124 16559 8115 16559 8105 16559 8125 16560 8122 16560 8115 16560 8124 16561 8125 16561 8115 16561 8126 16562 8105 16562 8101 16562 8126 16563 8124 16563 8105 16563 8127 16564 8126 16564 8101 16564 8107 16565 8127 16565 8101 16565 8128 16566 8122 16566 8125 16566 8129 16567 8122 16567 8128 16567 8123 16568 8122 16568 8129 16568 8128 16569 8125 16569 8124 16569 8130 16570 8124 16570 8126 16570 8130 16571 8128 16571 8124 16571 8130 16572 8126 16572 8127 16572 8131 16573 8130 16573 8127 16573 8132 16574 8131 16574 8127 16574 8132 16575 8127 16575 8107 16575 8133 16576 8128 16576 8130 16576 8133 16577 8134 16577 8128 16577 8129 16578 8128 16578 8134 16578 8135 16579 8130 16579 8131 16579 8135 16580 8133 16580 8130 16580 8135 16581 8131 16581 8136 16581 8129 16582 8136 16582 8131 16582 8137 16583 8129 16583 8131 16583 8137 16584 8131 16584 8132 16584 8129 16585 8134 16585 8136 16585 8138 16586 8136 16586 8134 16586 8139 16587 8135 16587 8136 16587 8138 16588 8139 16588 8136 16588 8140 16589 8134 16589 8133 16589 8140 16590 8138 16590 8134 16590 8141 16591 8133 16591 8135 16591 8140 16592 8133 16592 8141 16592 8139 16593 8141 16593 8135 16593 8123 16594 8129 16594 8137 16594 8138 16595 8141 16595 8139 16595 8140 16596 8141 16596 8138 16596 8137 16597 8107 16597 8110 16597 8137 16598 8132 16598 8107 16598 8123 16599 8137 16599 8110 16599 8120 16600 8121 16600 8117 16600 8116 16601 8120 16601 8117 16601 8116 16602 8119 16602 8120 16602 8116 16603 8118 16603 8119 16603 8142 16604 8143 16604 8144 16604 8145 16605 8144 16605 8143 16605 8146 16606 8142 16606 8144 16606 8147 16607 8144 16607 8148 16607 8149 16608 8148 16608 8144 16608 8147 16609 8150 16609 8144 16609 8146 16610 8144 16610 8150 16610 8145 16611 8149 16611 8144 16611 8151 16612 8143 16612 8142 16612 8151 16613 8145 16613 8143 16613 8152 16614 8153 16614 8142 16614 8154 16615 8142 16615 8153 16615 8146 16616 8152 16616 8142 16616 8154 16617 8151 16617 8142 16617 8148 16618 8155 16618 8153 16618 8156 16619 8153 16619 8155 16619 8157 16620 8148 16620 8153 16620 8158 16621 8157 16621 8153 16621 8152 16622 8158 16622 8153 16622 8154 16623 8153 16623 8156 16623 8159 16624 8155 16624 8148 16624 8159 16625 8156 16625 8155 16625 8157 16626 8147 16626 8148 16626 8149 16627 8159 16627 8148 16627 8160 16628 8150 16628 8147 16628 8161 16629 8146 16629 8150 16629 8160 16630 8161 16630 8150 16630 8162 16631 8147 16631 8157 16631 8160 16632 8147 16632 8162 16632 8163 16633 8157 16633 8158 16633 8162 16634 8157 16634 8163 16634 8164 16635 8158 16635 8152 16635 8163 16636 8158 16636 8164 16636 8165 16637 8152 16637 8146 16637 8164 16638 8152 16638 8165 16638 8165 16639 8146 16639 8161 16639 8166 16640 8156 16640 8159 16640 8167 16641 8156 16641 8166 16641 8167 16642 8154 16642 8156 16642 8168 16643 8159 16643 8149 16643 8169 16644 8166 16644 8159 16644 8168 16645 8169 16645 8159 16645 8170 16646 8149 16646 8145 16646 8170 16647 8168 16647 8149 16647 8171 16648 8170 16648 8145 16648 8151 16649 8171 16649 8145 16649 8172 16650 8166 16650 8169 16650 8173 16651 8166 16651 8172 16651 8167 16652 8166 16652 8173 16652 8172 16653 8169 16653 8168 16653 8174 16654 8168 16654 8170 16654 8174 16655 8172 16655 8168 16655 8174 16656 8170 16656 8171 16656 8175 16657 8174 16657 8171 16657 8176 16658 8175 16658 8171 16658 8176 16659 8171 16659 8151 16659 8177 16660 8172 16660 8174 16660 8177 16661 8178 16661 8172 16661 8173 16662 8172 16662 8178 16662 8179 16663 8174 16663 8175 16663 8179 16664 8177 16664 8174 16664 8179 16665 8175 16665 8180 16665 8173 16666 8180 16666 8175 16666 8181 16667 8173 16667 8175 16667 8181 16668 8175 16668 8176 16668 8173 16669 8178 16669 8180 16669 8182 16670 8180 16670 8178 16670 8183 16671 8179 16671 8180 16671 8182 16672 8183 16672 8180 16672 8184 16673 8178 16673 8177 16673 8184 16674 8182 16674 8178 16674 8185 16675 8177 16675 8179 16675 8184 16676 8177 16676 8185 16676 8183 16677 8185 16677 8179 16677 8167 16678 8173 16678 8181 16678 8182 16679 8185 16679 8183 16679 8184 16680 8185 16680 8182 16680 8181 16681 8151 16681 8154 16681 8181 16682 8176 16682 8151 16682 8167 16683 8181 16683 8154 16683 8164 16684 8165 16684 8161 16684 8160 16685 8164 16685 8161 16685 8160 16686 8163 16686 8164 16686 8160 16687 8162 16687 8163 16687 8186 16688 8187 16688 8188 16688 8189 16689 8188 16689 8187 16689 8190 16690 8186 16690 8188 16690 8191 16691 8188 16691 8192 16691 8193 16692 8192 16692 8188 16692 8191 16693 8194 16693 8188 16693 8190 16694 8188 16694 8194 16694 8189 16695 8193 16695 8188 16695 8195 16696 8187 16696 8186 16696 8195 16697 8189 16697 8187 16697 8196 16698 8197 16698 8186 16698 8198 16699 8186 16699 8197 16699 8190 16700 8196 16700 8186 16700 8198 16701 8195 16701 8186 16701 8192 16702 8199 16702 8197 16702 8200 16703 8197 16703 8199 16703 8201 16704 8192 16704 8197 16704 8202 16705 8201 16705 8197 16705 8196 16706 8202 16706 8197 16706 8198 16707 8197 16707 8200 16707 8203 16708 8199 16708 8192 16708 8203 16709 8200 16709 8199 16709 8201 16710 8191 16710 8192 16710 8193 16711 8203 16711 8192 16711 8204 16712 8194 16712 8191 16712 8205 16713 8190 16713 8194 16713 8204 16714 8205 16714 8194 16714 8206 16715 8191 16715 8201 16715 8204 16716 8191 16716 8206 16716 8207 16717 8201 16717 8202 16717 8206 16718 8201 16718 8207 16718 8208 16719 8202 16719 8196 16719 8207 16720 8202 16720 8208 16720 8209 16721 8196 16721 8190 16721 8208 16722 8196 16722 8209 16722 8209 16723 8190 16723 8205 16723 8210 16724 8200 16724 8203 16724 8211 16725 8200 16725 8210 16725 8211 16726 8198 16726 8200 16726 8212 16727 8203 16727 8193 16727 8213 16728 8210 16728 8203 16728 8212 16729 8213 16729 8203 16729 8214 16730 8193 16730 8189 16730 8214 16731 8212 16731 8193 16731 8215 16732 8214 16732 8189 16732 8195 16733 8215 16733 8189 16733 8216 16734 8210 16734 8213 16734 8217 16735 8210 16735 8216 16735 8211 16736 8210 16736 8217 16736 8216 16737 8213 16737 8212 16737 8218 16738 8212 16738 8214 16738 8218 16739 8216 16739 8212 16739 8218 16740 8214 16740 8215 16740 8219 16741 8218 16741 8215 16741 8220 16742 8219 16742 8215 16742 8220 16743 8215 16743 8195 16743 8221 16744 8216 16744 8218 16744 8221 16745 8222 16745 8216 16745 8217 16746 8216 16746 8222 16746 8223 16747 8218 16747 8219 16747 8223 16748 8221 16748 8218 16748 8223 16749 8219 16749 8224 16749 8217 16750 8224 16750 8219 16750 8225 16751 8217 16751 8219 16751 8225 16752 8219 16752 8220 16752 8217 16753 8222 16753 8224 16753 8226 16754 8224 16754 8222 16754 8227 16755 8223 16755 8224 16755 8226 16756 8227 16756 8224 16756 8228 16757 8222 16757 8221 16757 8228 16758 8226 16758 8222 16758 8229 16759 8221 16759 8223 16759 8228 16760 8221 16760 8229 16760 8227 16761 8229 16761 8223 16761 8211 16762 8217 16762 8225 16762 8226 16763 8229 16763 8227 16763 8228 16764 8229 16764 8226 16764 8225 16765 8195 16765 8198 16765 8225 16766 8220 16766 8195 16766 8211 16767 8225 16767 8198 16767 8208 16768 8209 16768 8205 16768 8204 16769 8208 16769 8205 16769 8204 16770 8207 16770 8208 16770 8204 16771 8206 16771 8207 16771 8230 16772 8231 16772 8232 16772 8233 16773 8232 16773 8231 16773 8234 16774 8230 16774 8232 16774 8235 16775 8232 16775 8236 16775 8237 16776 8236 16776 8232 16776 8235 16777 8238 16777 8232 16777 8234 16778 8232 16778 8238 16778 8233 16779 8237 16779 8232 16779 8239 16780 8231 16780 8230 16780 8239 16781 8233 16781 8231 16781 8240 16782 8241 16782 8230 16782 8242 16783 8230 16783 8241 16783 8234 16784 8240 16784 8230 16784 8242 16785 8239 16785 8230 16785 8236 16786 8243 16786 8241 16786 8244 16787 8241 16787 8243 16787 8245 16788 8236 16788 8241 16788 8246 16789 8245 16789 8241 16789 8240 16790 8246 16790 8241 16790 8242 16791 8241 16791 8244 16791 8247 16792 8243 16792 8236 16792 8247 16793 8244 16793 8243 16793 8245 16794 8235 16794 8236 16794 8237 16795 8247 16795 8236 16795 8248 16796 8238 16796 8235 16796 8249 16797 8234 16797 8238 16797 8248 16798 8249 16798 8238 16798 8250 16799 8235 16799 8245 16799 8248 16800 8235 16800 8250 16800 8251 16801 8245 16801 8246 16801 8250 16802 8245 16802 8251 16802 8252 16803 8246 16803 8240 16803 8251 16804 8246 16804 8252 16804 8253 16805 8240 16805 8234 16805 8252 16806 8240 16806 8253 16806 8253 16807 8234 16807 8249 16807 8254 16808 8244 16808 8247 16808 8255 16809 8244 16809 8254 16809 8255 16810 8242 16810 8244 16810 8256 16811 8247 16811 8237 16811 8257 16812 8254 16812 8247 16812 8256 16813 8257 16813 8247 16813 8258 16814 8237 16814 8233 16814 8258 16815 8256 16815 8237 16815 8259 16816 8258 16816 8233 16816 8239 16817 8259 16817 8233 16817 8260 16818 8254 16818 8257 16818 8261 16819 8254 16819 8260 16819 8255 16820 8254 16820 8261 16820 8260 16821 8257 16821 8256 16821 8262 16822 8256 16822 8258 16822 8262 16823 8260 16823 8256 16823 8262 16824 8258 16824 8259 16824 8263 16825 8262 16825 8259 16825 8264 16826 8263 16826 8259 16826 8264 16827 8259 16827 8239 16827 8265 16828 8260 16828 8262 16828 8265 16829 8266 16829 8260 16829 8261 16830 8260 16830 8266 16830 8267 16831 8262 16831 8263 16831 8267 16832 8265 16832 8262 16832 8267 16833 8263 16833 8268 16833 8261 16834 8268 16834 8263 16834 8269 16835 8261 16835 8263 16835 8269 16836 8263 16836 8264 16836 8261 16837 8266 16837 8268 16837 8270 16838 8268 16838 8266 16838 8271 16839 8267 16839 8268 16839 8270 16840 8271 16840 8268 16840 8272 16841 8266 16841 8265 16841 8272 16842 8270 16842 8266 16842 8273 16843 8265 16843 8267 16843 8272 16844 8265 16844 8273 16844 8271 16845 8273 16845 8267 16845 8255 16846 8261 16846 8269 16846 8270 16847 8273 16847 8271 16847 8272 16848 8273 16848 8270 16848 8269 16849 8239 16849 8242 16849 8269 16850 8264 16850 8239 16850 8255 16851 8269 16851 8242 16851 8252 16852 8253 16852 8249 16852 8248 16853 8252 16853 8249 16853 8248 16854 8251 16854 8252 16854 8248 16855 8250 16855 8251 16855 8274 16856 8275 16856 8276 16856 8277 16857 8276 16857 8275 16857 8278 16858 8274 16858 8276 16858 8279 16859 8276 16859 8280 16859 8281 16860 8280 16860 8276 16860 8279 16861 8282 16861 8276 16861 8278 16862 8276 16862 8282 16862 8277 16863 8281 16863 8276 16863 8283 16864 8275 16864 8274 16864 8283 16865 8277 16865 8275 16865 8284 16866 8285 16866 8274 16866 8286 16867 8274 16867 8285 16867 8278 16868 8284 16868 8274 16868 8286 16869 8283 16869 8274 16869 8280 16870 8287 16870 8285 16870 8288 16871 8285 16871 8287 16871 8289 16872 8280 16872 8285 16872 8290 16873 8289 16873 8285 16873 8284 16874 8290 16874 8285 16874 8286 16875 8285 16875 8288 16875 8291 16876 8287 16876 8280 16876 8291 16877 8288 16877 8287 16877 8289 16878 8279 16878 8280 16878 8281 16879 8291 16879 8280 16879 8292 16880 8282 16880 8279 16880 8293 16881 8278 16881 8282 16881 8292 16882 8293 16882 8282 16882 8294 16883 8279 16883 8289 16883 8292 16884 8279 16884 8294 16884 8295 16885 8289 16885 8290 16885 8294 16886 8289 16886 8295 16886 8296 16887 8290 16887 8284 16887 8295 16888 8290 16888 8296 16888 8297 16889 8284 16889 8278 16889 8296 16890 8284 16890 8297 16890 8297 16891 8278 16891 8293 16891 8298 16892 8288 16892 8291 16892 8299 16893 8288 16893 8298 16893 8299 16894 8286 16894 8288 16894 8300 16895 8291 16895 8281 16895 8301 16896 8298 16896 8291 16896 8300 16897 8301 16897 8291 16897 8302 16898 8281 16898 8277 16898 8302 16899 8300 16899 8281 16899 8303 16900 8302 16900 8277 16900 8283 16901 8303 16901 8277 16901 8304 16902 8298 16902 8301 16902 8305 16903 8298 16903 8304 16903 8299 16904 8298 16904 8305 16904 8304 16905 8301 16905 8300 16905 8306 16906 8300 16906 8302 16906 8306 16907 8304 16907 8300 16907 8306 16908 8302 16908 8303 16908 8307 16909 8306 16909 8303 16909 8308 16910 8307 16910 8303 16910 8308 16911 8303 16911 8283 16911 8309 16912 8304 16912 8306 16912 8309 16913 8310 16913 8304 16913 8305 16914 8304 16914 8310 16914 8311 16915 8306 16915 8307 16915 8311 16916 8309 16916 8306 16916 8311 16917 8307 16917 8312 16917 8305 16918 8312 16918 8307 16918 8313 16919 8305 16919 8307 16919 8313 16920 8307 16920 8308 16920 8305 16921 8310 16921 8312 16921 8314 16922 8312 16922 8310 16922 8315 16923 8311 16923 8312 16923 8314 16924 8315 16924 8312 16924 8316 16925 8310 16925 8309 16925 8316 16926 8314 16926 8310 16926 8317 16927 8309 16927 8311 16927 8316 16928 8309 16928 8317 16928 8315 16929 8317 16929 8311 16929 8299 16930 8305 16930 8313 16930 8314 16931 8317 16931 8315 16931 8316 16932 8317 16932 8314 16932 8313 16933 8283 16933 8286 16933 8313 16934 8308 16934 8283 16934 8299 16935 8313 16935 8286 16935 8296 16936 8297 16936 8293 16936 8292 16937 8296 16937 8293 16937 8292 16938 8295 16938 8296 16938 8292 16939 8294 16939 8295 16939 8318 16940 8319 16940 8320 16940 8321 16941 8320 16941 8319 16941 8322 16942 8318 16942 8320 16942 8321 16943 8323 16943 8320 16943 8322 16944 8320 16944 8323 16944 8318 16945 8324 16945 8319 16945 8325 16946 8319 16946 8324 16946 8326 16947 8321 16947 8319 16947 8327 16948 8326 16948 8319 16948 8328 16949 8327 16949 8319 16949 8325 16950 8328 16950 8319 16950 8329 16951 8330 16951 8324 16951 8325 16952 8324 16952 8330 16952 8318 16953 8329 16953 8324 16953 8331 16954 8332 16954 8330 16954 8333 16955 8330 16955 8332 16955 8329 16956 8331 16956 8330 16956 8333 16957 8325 16957 8330 16957 8334 16958 8335 16958 8332 16958 8336 16959 8332 16959 8335 16959 8331 16960 8334 16960 8332 16960 8336 16961 8337 16961 8332 16961 8338 16962 8332 16962 8337 16962 8338 16963 8333 16963 8332 16963 8339 16964 8340 16964 8335 16964 8341 16965 8335 16965 8340 16965 8334 16966 8339 16966 8335 16966 8342 16967 8335 16967 8341 16967 8336 16968 8335 16968 8342 16968 8343 16969 8344 16969 8340 16969 8341 16970 8340 16970 8344 16970 8339 16971 8343 16971 8340 16971 8345 16972 8344 16972 8343 16972 8346 16973 8344 16973 8345 16973 8347 16974 8344 16974 8346 16974 8341 16975 8344 16975 8347 16975 8348 16976 8343 16976 8339 16976 8345 16977 8343 16977 8348 16977 8349 16978 8339 16978 8334 16978 8349 16979 8348 16979 8339 16979 8350 16980 8334 16980 8331 16980 8350 16981 8351 16981 8334 16981 8352 16982 8334 16982 8351 16982 8352 16983 8349 16983 8334 16983 8353 16984 8331 16984 8329 16984 8354 16985 8331 16985 8353 16985 8350 16986 8331 16986 8354 16986 8353 16987 8329 16987 8318 16987 8355 16988 8318 16988 8322 16988 8353 16989 8318 16989 8355 16989 8356 16990 8357 16990 8358 16990 8359 16991 8358 16991 8357 16991 809 16992 8358 16992 8360 16992 8361 16993 8360 16993 8358 16993 809 16994 8356 16994 8358 16994 8359 16995 8361 16995 8358 16995 8362 16996 8363 16996 8357 16996 8364 16997 8357 16997 8363 16997 8362 16998 8357 16998 8356 16998 8364 16999 8359 16999 8357 16999 8362 17000 8365 17000 8363 17000 8366 17001 8363 17001 8365 17001 8364 17002 8363 17002 8366 17002 824 17003 8367 17003 8365 17003 8368 17004 8365 17004 8367 17004 770 17005 824 17005 8365 17005 8362 17006 770 17006 8365 17006 8366 17007 8365 17007 8368 17007 824 17008 8360 17008 8367 17008 8369 17009 8367 17009 8360 17009 8369 17010 8368 17010 8367 17010 824 17011 809 17011 8360 17011 8361 17012 8369 17012 8360 17012 750 17013 8370 17013 8371 17013 8372 17014 8371 17014 8370 17014 750 17015 8371 17015 8373 17015 8374 17016 8373 17016 8371 17016 8372 17017 8374 17017 8371 17017 8362 17018 8375 17018 8370 17018 8376 17019 8370 17019 8375 17019 748 17020 8362 17020 8370 17020 750 17021 748 17021 8370 17021 8376 17022 8372 17022 8370 17022 8362 17023 8356 17023 8375 17023 8377 17024 8375 17024 8356 17024 8376 17025 8375 17025 8377 17025 809 17026 8378 17026 8356 17026 8379 17027 8356 17027 8378 17027 8377 17028 8356 17028 8379 17028 809 17029 8373 17029 8378 17029 8380 17030 8378 17030 8373 17030 8380 17031 8379 17031 8378 17031 750 17032 8373 17032 809 17032 8374 17033 8380 17033 8373 17033 855 17034 8381 17034 8382 17034 8383 17035 8382 17035 8381 17035 8384 17036 8382 17036 8385 17036 8386 17037 8385 17037 8382 17037 8387 17038 8388 17038 8382 17038 855 17039 8382 17039 8388 17039 8384 17040 8387 17040 8382 17040 8383 17041 8386 17041 8382 17041 855 17042 8389 17042 8381 17042 8390 17043 8381 17043 8389 17043 8390 17044 8383 17044 8381 17044 764 17045 8391 17045 8389 17045 8392 17046 8389 17046 8391 17046 764 17047 8389 17047 855 17047 8390 17048 8389 17048 8392 17048 764 17049 8393 17049 8391 17049 8394 17050 8391 17050 8393 17050 8392 17051 8391 17051 8394 17051 8384 17052 8385 17052 8393 17052 8395 17053 8393 17053 8385 17053 763 17054 8384 17054 8393 17054 764 17055 763 17055 8393 17055 8395 17056 8394 17056 8393 17056 8386 17057 8395 17057 8385 17057 843 17058 8396 17058 8397 17058 8398 17059 8397 17059 8396 17059 8384 17060 8397 17060 8399 17060 8400 17061 8399 17061 8397 17061 754 17062 843 17062 8397 17062 8384 17063 754 17063 8397 17063 8398 17064 8400 17064 8397 17064 843 17065 8401 17065 8396 17065 8402 17066 8396 17066 8401 17066 8402 17067 8398 17067 8396 17067 855 17068 8388 17068 8401 17068 8403 17069 8401 17069 8388 17069 843 17070 855 17070 8401 17070 8402 17071 8401 17071 8403 17071 8404 17072 8388 17072 8387 17072 8403 17073 8388 17073 8404 17073 8384 17074 8399 17074 8387 17074 8405 17075 8387 17075 8399 17075 8405 17076 8404 17076 8387 17076 8400 17077 8405 17077 8399 17077 8406 17078 855 17078 843 17078 8407 17079 764 17079 855 17079 8407 17080 855 17080 8406 17080 8408 17081 843 17081 754 17081 8409 17082 8410 17082 843 17082 8411 17083 843 17083 8410 17083 8408 17084 8409 17084 843 17084 8411 17085 8406 17085 843 17085 8384 17086 751 17086 754 17086 8412 17087 754 17087 751 17087 8412 17088 8408 17088 754 17088 8413 17089 751 17089 8384 17089 8412 17090 751 17090 8413 17090 763 17091 8414 17091 8384 17091 8415 17092 8384 17092 8414 17092 8415 17093 8416 17093 8384 17093 8417 17094 8384 17094 8416 17094 8417 17095 8413 17095 8384 17095 8418 17096 8414 17096 763 17096 8419 17097 8415 17097 8414 17097 8419 17098 8414 17098 8418 17098 8420 17099 763 17099 764 17099 8420 17100 8418 17100 763 17100 8407 17101 8420 17101 764 17101 8421 17102 809 17102 824 17102 8422 17103 750 17103 809 17103 8422 17104 809 17104 8421 17104 8423 17105 824 17105 770 17105 8424 17106 8425 17106 824 17106 8426 17107 824 17107 8425 17107 8423 17108 8424 17108 824 17108 8426 17109 8421 17109 824 17109 8362 17110 734 17110 770 17110 8427 17111 770 17111 734 17111 8427 17112 8423 17112 770 17112 8428 17113 734 17113 8362 17113 8427 17114 734 17114 8428 17114 748 17115 8429 17115 8362 17115 8430 17116 8362 17116 8429 17116 8328 17117 8362 17117 8430 17117 8431 17118 8428 17118 8362 17118 8432 17119 8431 17119 8362 17119 8328 17120 8432 17120 8362 17120 8433 17121 8429 17121 748 17121 8434 17122 8429 17122 8433 17122 8435 17123 8429 17123 8434 17123 8435 17124 8430 17124 8429 17124 8436 17125 748 17125 750 17125 8436 17126 8433 17126 748 17126 8422 17127 8436 17127 750 17127 8437 17128 8438 17128 8416 17128 8439 17129 8416 17129 8438 17129 8415 17130 8437 17130 8416 17130 8440 17131 8417 17131 8416 17131 8441 17132 8416 17132 8439 17132 8442 17133 8440 17133 8416 17133 8441 17134 8442 17134 8416 17134 8323 17135 8438 17135 8437 17135 8439 17136 8438 17136 8323 17136 8323 17137 8437 17137 8415 17137 8323 17138 8415 17138 8419 17138 8440 17139 8413 17139 8417 17139 8443 17140 8444 17140 8413 17140 8412 17141 8413 17141 8444 17141 8440 17142 8443 17142 8413 17142 8445 17143 8446 17143 8447 17143 8448 17144 8447 17144 8446 17144 8449 17145 8445 17145 8447 17145 8450 17146 8449 17146 8447 17146 8450 17147 8447 17147 8451 17147 8452 17148 8451 17148 8447 17148 8448 17149 8452 17149 8447 17149 8434 17150 8433 17150 8446 17150 8453 17151 8446 17151 8433 17151 8454 17152 8434 17152 8446 17152 8445 17153 8454 17153 8446 17153 8347 17154 8446 17154 8453 17154 8347 17155 8448 17155 8446 17155 8422 17156 8433 17156 8436 17156 8455 17157 8433 17157 8456 17157 8422 17158 8456 17158 8433 17158 8457 17159 8433 17159 8455 17159 8453 17160 8433 17160 8457 17160 8435 17161 8434 17161 8454 17161 8458 17162 8454 17162 8445 17162 8435 17163 8454 17163 8458 17163 8449 17164 8459 17164 8445 17164 8460 17165 8445 17165 8459 17165 8458 17166 8445 17166 8460 17166 8449 17167 8461 17167 8459 17167 8462 17168 8459 17168 8461 17168 8460 17169 8459 17169 8462 17169 8463 17170 8464 17170 8461 17170 8465 17171 8461 17171 8464 17171 8449 17172 8463 17172 8461 17172 8465 17173 8462 17173 8461 17173 8466 17174 8464 17174 8463 17174 8465 17175 8464 17175 8466 17175 8450 17176 8463 17176 8449 17176 8466 17177 8463 17177 8450 17177 8409 17178 8467 17178 8410 17178 8468 17179 8410 17179 8467 17179 8469 17180 8411 17180 8410 17180 8470 17181 8469 17181 8410 17181 8471 17182 8410 17182 8468 17182 8470 17183 8410 17183 8471 17183 8472 17184 8467 17184 8409 17184 8473 17185 8467 17185 8472 17185 8468 17186 8467 17186 8473 17186 8472 17187 8409 17187 8408 17187 8474 17188 8475 17188 8408 17188 8476 17189 8408 17189 8475 17189 8412 17190 8474 17190 8408 17190 8477 17191 8472 17191 8408 17191 8476 17192 8477 17192 8408 17192 8478 17193 8406 17193 8411 17193 8478 17194 8479 17194 8406 17194 8407 17195 8406 17195 8479 17195 8480 17196 8478 17196 8411 17196 8469 17197 8480 17197 8411 17197 8322 17198 8418 17198 8481 17198 8482 17199 8481 17199 8418 17199 8355 17200 8322 17200 8481 17200 8355 17201 8481 17201 8482 17201 8407 17202 8418 17202 8420 17202 8322 17203 8419 17203 8418 17203 8483 17204 8484 17204 8418 17204 8485 17205 8418 17205 8484 17205 8407 17206 8483 17206 8418 17206 8482 17207 8418 17207 8485 17207 8322 17208 8323 17208 8419 17208 8439 17209 8323 17209 8321 17209 8486 17210 8321 17210 8326 17210 8487 17211 8488 17211 8321 17211 8489 17212 8321 17212 8488 17212 8486 17213 8487 17213 8321 17213 8439 17214 8321 17214 8489 17214 8486 17215 8326 17215 8327 17215 8328 17216 8430 17216 8327 17216 8490 17217 8327 17217 8430 17217 8490 17218 8486 17218 8327 17218 8491 17219 8430 17219 8435 17219 8490 17220 8430 17220 8491 17220 8492 17221 8428 17221 8431 17221 8493 17222 8494 17222 8428 17222 8427 17223 8428 17223 8494 17223 8492 17224 8493 17224 8428 17224 8492 17225 8431 17225 8432 17225 8495 17226 8432 17226 8328 17226 8495 17227 8492 17227 8432 17227 8325 17228 8495 17228 8328 17228 8424 17229 8496 17229 8425 17229 8497 17230 8425 17230 8496 17230 8498 17231 8426 17231 8425 17231 8499 17232 8498 17232 8425 17232 8500 17233 8425 17233 8497 17233 8499 17234 8425 17234 8500 17234 8501 17235 8496 17235 8424 17235 8502 17236 8496 17236 8501 17236 8497 17237 8496 17237 8502 17237 8501 17238 8424 17238 8423 17238 8503 17239 8504 17239 8423 17239 8505 17240 8423 17240 8504 17240 8427 17241 8503 17241 8423 17241 8506 17242 8501 17242 8423 17242 8505 17243 8506 17243 8423 17243 8507 17244 8421 17244 8426 17244 8507 17245 8508 17245 8421 17245 8422 17246 8421 17246 8508 17246 8509 17247 8507 17247 8426 17247 8498 17248 8509 17248 8426 17248 8451 17249 8488 17249 8487 17249 8448 17250 8489 17250 8488 17250 8452 17251 8488 17251 8451 17251 8448 17252 8488 17252 8452 17252 8451 17253 8487 17253 8486 17253 8460 17254 8462 17254 8486 17254 8465 17255 8486 17255 8462 17255 8490 17256 8460 17256 8486 17256 8450 17257 8451 17257 8486 17257 8466 17258 8450 17258 8486 17258 8465 17259 8466 17259 8486 17259 8441 17260 8439 17260 8489 17260 8448 17261 8441 17261 8489 17261 8490 17262 8458 17262 8460 17262 8491 17263 8435 17263 8458 17263 8490 17264 8491 17264 8458 17264 8510 17265 8444 17265 8443 17265 8412 17266 8444 17266 8474 17266 8511 17267 8474 17267 8444 17267 8511 17268 8444 17268 8510 17268 8440 17269 8512 17269 8443 17269 8513 17270 8443 17270 8512 17270 8513 17271 8510 17271 8443 17271 8514 17272 8515 17272 8512 17272 8516 17273 8512 17273 8515 17273 8440 17274 8514 17274 8512 17274 8513 17275 8512 17275 8516 17275 8476 17276 8475 17276 8515 17276 8517 17277 8515 17277 8475 17277 8514 17278 8476 17278 8515 17278 8516 17279 8515 17279 8517 17279 8518 17280 8475 17280 8474 17280 8517 17281 8475 17281 8518 17281 8518 17282 8474 17282 8511 17282 8519 17283 8520 17283 8521 17283 8522 17284 8521 17284 8520 17284 8480 17285 8521 17285 8478 17285 8523 17286 8478 17286 8521 17286 8480 17287 8524 17287 8521 17287 8519 17288 8521 17288 8524 17288 8523 17289 8521 17289 8522 17289 8485 17290 8484 17290 8520 17290 8525 17291 8520 17291 8484 17291 8519 17292 8485 17292 8520 17292 8525 17293 8522 17293 8520 17293 8526 17294 8484 17294 8483 17294 8525 17295 8484 17295 8526 17295 8407 17296 8479 17296 8483 17296 8527 17297 8483 17297 8479 17297 8526 17298 8483 17298 8527 17298 8528 17299 8479 17299 8478 17299 8527 17300 8479 17300 8528 17300 8528 17301 8478 17301 8523 17301 8422 17302 8508 17302 8456 17302 8529 17303 8456 17303 8508 17303 8530 17304 8455 17304 8456 17304 8530 17305 8456 17305 8529 17305 8531 17306 8508 17306 8507 17306 8531 17307 8529 17307 8508 17307 8509 17308 8532 17308 8507 17308 8533 17309 8507 17309 8532 17309 8531 17310 8507 17310 8533 17310 8534 17311 8535 17311 8532 17311 8536 17312 8532 17312 8535 17312 8509 17313 8537 17313 8532 17313 8534 17314 8532 17314 8537 17314 8533 17315 8532 17315 8536 17315 8457 17316 8455 17316 8535 17316 8538 17317 8535 17317 8455 17317 8534 17318 8457 17318 8535 17318 8536 17319 8535 17319 8538 17319 8538 17320 8455 17320 8530 17320 8505 17321 8504 17321 8539 17321 8540 17322 8539 17322 8504 17322 8541 17323 8539 17323 8542 17323 8543 17324 8542 17324 8539 17324 8541 17325 8505 17325 8539 17325 8543 17326 8539 17326 8540 17326 8544 17327 8504 17327 8503 17327 8544 17328 8540 17328 8504 17328 8427 17329 8494 17329 8503 17329 8545 17330 8503 17330 8494 17330 8544 17331 8503 17331 8545 17331 8546 17332 8494 17332 8493 17332 8545 17333 8494 17333 8546 17333 8492 17334 8542 17334 8493 17334 8547 17335 8493 17335 8542 17335 8546 17336 8493 17336 8547 17336 8492 17337 8541 17337 8542 17337 8547 17338 8542 17338 8543 17338 8502 17339 8501 17339 8506 17339 8548 17340 8506 17340 8505 17340 8548 17341 8549 17341 8506 17341 8502 17342 8506 17342 8549 17342 8548 17343 8505 17343 8541 17343 8550 17344 8541 17344 8492 17344 8550 17345 8548 17345 8541 17345 8550 17346 8492 17346 8495 17346 8551 17347 8537 17347 8509 17347 8552 17348 8534 17348 8537 17348 8551 17349 8552 17349 8537 17349 8498 17350 8551 17350 8509 17350 8453 17351 8457 17351 8534 17351 8553 17352 8534 17352 8552 17352 8553 17353 8453 17353 8534 17353 8551 17354 8554 17354 8552 17354 8553 17355 8552 17355 8554 17355 8555 17356 8524 17356 8480 17356 8556 17357 8519 17357 8524 17357 8555 17358 8556 17358 8524 17358 8469 17359 8555 17359 8480 17359 8482 17360 8485 17360 8519 17360 8557 17361 8519 17361 8556 17361 8557 17362 8482 17362 8519 17362 8555 17363 8558 17363 8556 17363 8557 17364 8556 17364 8558 17364 8473 17365 8472 17365 8477 17365 8559 17366 8477 17366 8476 17366 8559 17367 8560 17367 8477 17367 8473 17368 8477 17368 8560 17368 8559 17369 8476 17369 8514 17369 8561 17370 8514 17370 8440 17370 8561 17371 8559 17371 8514 17371 8561 17372 8440 17372 8442 17372 8562 17373 8558 17373 8555 17373 8563 17374 8557 17374 8558 17374 8564 17375 8563 17375 8558 17375 8562 17376 8564 17376 8558 17376 8562 17377 8555 17377 8469 17377 8355 17378 8482 17378 8557 17378 8333 17379 8550 17379 8495 17379 8333 17380 8495 17380 8325 17380 8565 17381 8549 17381 8548 17381 8566 17382 8502 17382 8549 17382 8567 17383 8549 17383 8565 17383 8567 17384 8566 17384 8549 17384 8565 17385 8548 17385 8550 17385 8568 17386 8554 17386 8551 17386 8569 17387 8553 17387 8554 17387 8570 17388 8569 17388 8554 17388 8568 17389 8570 17389 8554 17389 8568 17390 8551 17390 8498 17390 8347 17391 8453 17391 8553 17391 8349 17392 8561 17392 8442 17392 8349 17393 8442 17393 8348 17393 8441 17394 8348 17394 8442 17394 8571 17395 8560 17395 8559 17395 8572 17396 8473 17396 8560 17396 8572 17397 8560 17397 8573 17397 8571 17398 8573 17398 8560 17398 8571 17399 8559 17399 8561 17399 8527 17400 8394 17400 8395 17400 8527 17401 8528 17401 8394 17401 8392 17402 8394 17402 8528 17402 8525 17403 8395 17403 8386 17403 8395 17404 8525 17404 8574 17404 8525 17405 8386 17405 8383 17405 8525 17406 8383 17406 8522 17406 8390 17407 8522 17407 8383 17407 8523 17408 8522 17408 8575 17408 8390 17409 8528 17409 8575 17409 8390 17410 8392 17410 8528 17410 8526 17411 8527 17411 8574 17411 8517 17412 8404 17412 8405 17412 8517 17413 8518 17413 8404 17413 8403 17414 8404 17414 8518 17414 8513 17415 8405 17415 8400 17415 8405 17416 8513 17416 8576 17416 8513 17417 8400 17417 8398 17417 8513 17418 8398 17418 8510 17418 8402 17419 8510 17419 8398 17419 8511 17420 8510 17420 8577 17420 8402 17421 8518 17421 8577 17421 8402 17422 8403 17422 8518 17422 8516 17423 8517 17423 8576 17423 8546 17424 8368 17424 8369 17424 8546 17425 8547 17425 8368 17425 8366 17426 8368 17426 8547 17426 8544 17427 8369 17427 8361 17427 8369 17428 8544 17428 8578 17428 8544 17429 8361 17429 8359 17429 8544 17430 8359 17430 8540 17430 8364 17431 8540 17431 8359 17431 8543 17432 8540 17432 8579 17432 8364 17433 8547 17433 8579 17433 8364 17434 8366 17434 8547 17434 8545 17435 8546 17435 8578 17435 8536 17436 8379 17436 8380 17436 8536 17437 8538 17437 8379 17437 8377 17438 8379 17438 8538 17438 8531 17439 8380 17439 8374 17439 8380 17440 8531 17440 8580 17440 8531 17441 8374 17441 8372 17441 8531 17442 8372 17442 8529 17442 8376 17443 8529 17443 8372 17443 8530 17444 8529 17444 8581 17444 8376 17445 8538 17445 8581 17445 8376 17446 8377 17446 8538 17446 8533 17447 8536 17447 8580 17447 8582 17448 8550 17448 8333 17448 8566 17449 8550 17449 8582 17449 8566 17450 8565 17450 8550 17450 8353 17451 8355 17451 8557 17451 8563 17452 8353 17452 8557 17452 8571 17453 8561 17453 8572 17453 8583 17454 8572 17454 8561 17454 8583 17455 8561 17455 8349 17455 8341 17456 8347 17456 8553 17456 8569 17457 8341 17457 8553 17457 8584 17458 8497 17458 8502 17458 8584 17459 8502 17459 8566 17459 8585 17460 8568 17460 8498 17460 8585 17461 8498 17461 8499 17461 8586 17462 8562 17462 8469 17462 8586 17463 8469 17463 8470 17463 8587 17464 8468 17464 8473 17464 8587 17465 8473 17465 8572 17465 8354 17466 8353 17466 8563 17466 8564 17467 8588 17467 8563 17467 8589 17468 8563 17468 8588 17468 8590 17469 8354 17469 8563 17469 8589 17470 8590 17470 8563 17470 8562 17471 8588 17471 8564 17471 8586 17472 8588 17472 8562 17472 8586 17473 8589 17473 8588 17473 8350 17474 8354 17474 8590 17474 8350 17475 8590 17475 8589 17475 8350 17476 8591 17476 8351 17476 8352 17477 8351 17477 8591 17477 8470 17478 8592 17478 8591 17478 8593 17479 8591 17479 8592 17479 8589 17480 8470 17480 8591 17480 8350 17481 8589 17481 8591 17481 8352 17482 8591 17482 8593 17482 8471 17483 8468 17483 8592 17483 8587 17484 8592 17484 8468 17484 8470 17485 8471 17485 8592 17485 8593 17486 8592 17486 8583 17486 8587 17487 8583 17487 8592 17487 8586 17488 8470 17488 8589 17488 8571 17489 8572 17489 8573 17489 8587 17490 8572 17490 8583 17490 8441 17491 8345 17491 8348 17491 8593 17492 8583 17492 8349 17492 8352 17493 8593 17493 8349 17493 8346 17494 8345 17494 8441 17494 8448 17495 8346 17495 8441 17495 8347 17496 8346 17496 8448 17496 8342 17497 8341 17497 8569 17497 8570 17498 8594 17498 8569 17498 8595 17499 8569 17499 8594 17499 8596 17500 8342 17500 8569 17500 8595 17501 8596 17501 8569 17501 8568 17502 8594 17502 8570 17502 8585 17503 8594 17503 8568 17503 8585 17504 8595 17504 8594 17504 8336 17505 8342 17505 8596 17505 8336 17506 8596 17506 8595 17506 8336 17507 8597 17507 8337 17507 8338 17508 8337 17508 8597 17508 8499 17509 8598 17509 8597 17509 8599 17510 8597 17510 8598 17510 8595 17511 8499 17511 8597 17511 8336 17512 8595 17512 8597 17512 8338 17513 8597 17513 8599 17513 8500 17514 8497 17514 8598 17514 8584 17515 8598 17515 8497 17515 8499 17516 8500 17516 8598 17516 8599 17517 8598 17517 8582 17517 8584 17518 8582 17518 8598 17518 8585 17519 8499 17519 8595 17519 8599 17520 8582 17520 8333 17520 8338 17521 8599 17521 8333 17521 8584 17522 8566 17522 8582 17522 8567 17523 8565 17523 8566 17523 8574 17524 8527 17524 8395 17524 8574 17525 8525 17525 8526 17525 8575 17526 8522 17526 8390 17526 8575 17527 8528 17527 8523 17527 8576 17528 8513 17528 8516 17528 8576 17529 8517 17529 8405 17529 8577 17530 8510 17530 8402 17530 8577 17531 8518 17531 8511 17531 8578 17532 8544 17532 8545 17532 8578 17533 8546 17533 8369 17533 8579 17534 8540 17534 8364 17534 8579 17535 8547 17535 8543 17535 8580 17536 8531 17536 8533 17536 8580 17537 8536 17537 8380 17537 8581 17538 8538 17538 8530 17538 8581 17539 8529 17539 8376 17539 8600 17540 8601 17540 8602 17540 8603 17541 8602 17541 8601 17541 8604 17542 8602 17542 8605 17542 8606 17543 8605 17543 8602 17543 8607 17544 8600 17544 8602 17544 8604 17545 8607 17545 8602 17545 8606 17546 8602 17546 8603 17546 8608 17547 8609 17547 8601 17547 8610 17548 8601 17548 8609 17548 8611 17549 8601 17549 8612 17549 8600 17550 8612 17550 8601 17550 8613 17551 8601 17551 8611 17551 8614 17552 8608 17552 8601 17552 8615 17553 8614 17553 8601 17553 8616 17554 8615 17554 8601 17554 8613 17555 8616 17555 8601 17555 8610 17556 8603 17556 8601 17556 8617 17557 8618 17557 8609 17557 8619 17558 8609 17558 8618 17558 8620 17559 8617 17559 8609 17559 8621 17560 8620 17560 8609 17560 8608 17561 8621 17561 8609 17561 8619 17562 8610 17562 8609 17562 8622 17563 8618 17563 8617 17563 8622 17564 8619 17564 8618 17564 8623 17565 8617 17565 8620 17565 8623 17566 8622 17566 8617 17566 8624 17567 8625 17567 8620 17567 8626 17568 8620 17568 8625 17568 8627 17569 8624 17569 8620 17569 8628 17570 8627 17570 8620 17570 8628 17571 8620 17571 8621 17571 8626 17572 8623 17572 8620 17572 8629 17573 8630 17573 8625 17573 8631 17574 8625 17574 8630 17574 8632 17575 8633 17575 8625 17575 8634 17576 8625 17576 8633 17576 8635 17577 8632 17577 8625 17577 8636 17578 8635 17578 8625 17578 8624 17579 8637 17579 8625 17579 8636 17580 8625 17580 8637 17580 8638 17581 8629 17581 8625 17581 8634 17582 8638 17582 8625 17582 8631 17583 8626 17583 8625 17583 8639 17584 8640 17584 8630 17584 8641 17585 8630 17585 8640 17585 8642 17586 8639 17586 8630 17586 8629 17587 8642 17587 8630 17587 8641 17588 8631 17588 8630 17588 8643 17589 8644 17589 8640 17589 8645 17590 8640 17590 8644 17590 8646 17591 8640 17591 8647 17591 8639 17592 8647 17592 8640 17592 8648 17593 8640 17593 8646 17593 8649 17594 8643 17594 8640 17594 8650 17595 8649 17595 8640 17595 8651 17596 8650 17596 8640 17596 8648 17597 8651 17597 8640 17597 8645 17598 8641 17598 8640 17598 8652 17599 8653 17599 8644 17599 8654 17600 8644 17600 8653 17600 8655 17601 8652 17601 8644 17601 8656 17602 8655 17602 8644 17602 8643 17603 8656 17603 8644 17603 8654 17604 8645 17604 8644 17604 8657 17605 8653 17605 8652 17605 8657 17606 8654 17606 8653 17606 8658 17607 8652 17607 8655 17607 8658 17608 8657 17608 8652 17608 8659 17609 8605 17609 8655 17609 8660 17610 8655 17610 8605 17610 8661 17611 8655 17611 8656 17611 8662 17612 8659 17612 8655 17612 8661 17613 8662 17613 8655 17613 8660 17614 8658 17614 8655 17614 8663 17615 8664 17615 8605 17615 8665 17616 8605 17616 8664 17616 8666 17617 8663 17617 8605 17617 8667 17618 8666 17618 8605 17618 8659 17619 8668 17619 8605 17619 8667 17620 8605 17620 8668 17620 8669 17621 8604 17621 8605 17621 8665 17622 8669 17622 8605 17622 8606 17623 8660 17623 8605 17623 8670 17624 8671 17624 8672 17624 8673 17625 8672 17625 8671 17625 8674 17626 8672 17626 8675 17626 8676 17627 8675 17627 8672 17627 8677 17628 8672 17628 8674 17628 8677 17629 8670 17629 8672 17629 8676 17630 8672 17630 8673 17630 8678 17631 8679 17631 8671 17631 8680 17632 8671 17632 8679 17632 8681 17633 8678 17633 8671 17633 8670 17634 8681 17634 8671 17634 8673 17635 8671 17635 8680 17635 8664 17636 8682 17636 8679 17636 8683 17637 8679 17637 8682 17637 8684 17638 8664 17638 8679 17638 8678 17639 8684 17639 8679 17639 8680 17640 8679 17640 8683 17640 8685 17641 8686 17641 8682 17641 8687 17642 8682 17642 8686 17642 8664 17643 8685 17643 8682 17643 8683 17644 8682 17644 8687 17644 8688 17645 8689 17645 8686 17645 8690 17646 8686 17646 8689 17646 8691 17647 8688 17647 8686 17647 8692 17648 8691 17648 8686 17648 8685 17649 8692 17649 8686 17649 8687 17650 8686 17650 8690 17650 8693 17651 8694 17651 8689 17651 8695 17652 8689 17652 8694 17652 8639 17653 8689 17653 8688 17653 8639 17654 8693 17654 8689 17654 8690 17655 8689 17655 8695 17655 8696 17656 8697 17656 8694 17656 8698 17657 8694 17657 8697 17657 8699 17658 8696 17658 8694 17658 8700 17659 8699 17659 8694 17659 8693 17660 8700 17660 8694 17660 8695 17661 8694 17661 8698 17661 8701 17662 8702 17662 8697 17662 8703 17663 8697 17663 8702 17663 8696 17664 8701 17664 8697 17664 8698 17665 8697 17665 8703 17665 8704 17666 8705 17666 8702 17666 8706 17667 8702 17667 8705 17667 8701 17668 8704 17668 8702 17668 8703 17669 8702 17669 8706 17669 8707 17670 8708 17670 8705 17670 8709 17671 8705 17671 8708 17671 8710 17672 8705 17672 8704 17672 8710 17673 8707 17673 8705 17673 8706 17674 8705 17674 8709 17674 8633 17675 8711 17675 8708 17675 8712 17676 8708 17676 8711 17676 8713 17677 8633 17677 8708 17677 8707 17678 8713 17678 8708 17678 8709 17679 8708 17679 8712 17679 8714 17680 8715 17680 8711 17680 8716 17681 8711 17681 8715 17681 8633 17682 8714 17682 8711 17682 8712 17683 8711 17683 8716 17683 8717 17684 8718 17684 8715 17684 8719 17685 8715 17685 8718 17685 8720 17686 8717 17686 8715 17686 8721 17687 8720 17687 8715 17687 8714 17688 8722 17688 8715 17688 8721 17689 8715 17689 8722 17689 8716 17690 8715 17690 8719 17690 8723 17691 8724 17691 8718 17691 8725 17692 8718 17692 8724 17692 8600 17693 8718 17693 8717 17693 8600 17694 8723 17694 8718 17694 8726 17695 8718 17695 8725 17695 8727 17696 8719 17696 8718 17696 8726 17697 8727 17697 8718 17697 8728 17698 8675 17698 8724 17698 8729 17699 8724 17699 8675 17699 8730 17700 8724 17700 8723 17700 8731 17701 8728 17701 8724 17701 8730 17702 8731 17702 8724 17702 8732 17703 8724 17703 8729 17703 8725 17704 8724 17704 8732 17704 8733 17705 8674 17705 8675 17705 8728 17706 8733 17706 8675 17706 8734 17707 8729 17707 8675 17707 8676 17708 8734 17708 8675 17708 8639 17709 8735 17709 8647 17709 8736 17710 8647 17710 8735 17710 8737 17711 8646 17711 8647 17711 8736 17712 8737 17712 8647 17712 8639 17713 8688 17713 8735 17713 8738 17714 8735 17714 8688 17714 8738 17715 8736 17715 8735 17715 8739 17716 8688 17716 8691 17716 8739 17717 8738 17717 8688 17717 8692 17718 8740 17718 8691 17718 8741 17719 8691 17719 8740 17719 8739 17720 8691 17720 8741 17720 8742 17721 8646 17721 8740 17721 8743 17722 8740 17722 8646 17722 8742 17723 8740 17723 8692 17723 8743 17724 8741 17724 8740 17724 8744 17725 8646 17725 8742 17725 8744 17726 8648 17726 8646 17726 8737 17727 8743 17727 8646 17727 8742 17728 8692 17728 8745 17728 8746 17729 8745 17729 8692 17729 8667 17730 8745 17730 8666 17730 8747 17731 8666 17731 8745 17731 8748 17732 8745 17732 8667 17732 8748 17733 8742 17733 8745 17733 8746 17734 8747 17734 8745 17734 8749 17735 8692 17735 8685 17735 8749 17736 8746 17736 8692 17736 8750 17737 8685 17737 8664 17737 8750 17738 8749 17738 8685 17738 8751 17739 8664 17739 8663 17739 8684 17740 8665 17740 8664 17740 8750 17741 8664 17741 8751 17741 8752 17742 8663 17742 8666 17742 8752 17743 8751 17743 8663 17743 8747 17744 8752 17744 8666 17744 8600 17745 8753 17745 8612 17745 8754 17746 8612 17746 8753 17746 8755 17747 8611 17747 8612 17747 8754 17748 8755 17748 8612 17748 8600 17749 8717 17749 8753 17749 8756 17750 8753 17750 8717 17750 8756 17751 8754 17751 8753 17751 8757 17752 8717 17752 8720 17752 8757 17753 8756 17753 8717 17753 8758 17754 8759 17754 8720 17754 8760 17755 8720 17755 8759 17755 8761 17756 8720 17756 8721 17756 8761 17757 8758 17757 8720 17757 8757 17758 8720 17758 8760 17758 8762 17759 8611 17759 8759 17759 8763 17760 8759 17760 8611 17760 8762 17761 8759 17761 8758 17761 8763 17762 8760 17762 8759 17762 8764 17763 8613 17763 8611 17763 8762 17764 8764 17764 8611 17764 8755 17765 8763 17765 8611 17765 8758 17766 8722 17766 8765 17766 8766 17767 8765 17767 8722 17767 8636 17768 8765 17768 8635 17768 8767 17769 8635 17769 8765 17769 8768 17770 8765 17770 8636 17770 8762 17771 8758 17771 8765 17771 8768 17772 8762 17772 8765 17772 8766 17773 8767 17773 8765 17773 8769 17774 8722 17774 8714 17774 8770 17775 8721 17775 8722 17775 8758 17776 8770 17776 8722 17776 8769 17777 8766 17777 8722 17777 8771 17778 8714 17778 8633 17778 8771 17779 8769 17779 8714 17779 8772 17780 8633 17780 8632 17780 8713 17781 8634 17781 8633 17781 8771 17782 8633 17782 8772 17782 8773 17783 8632 17783 8635 17783 8773 17784 8772 17784 8632 17784 8767 17785 8773 17785 8635 17785 8774 17786 8637 17786 8624 17786 8775 17787 8636 17787 8637 17787 8775 17788 8637 17788 8774 17788 8776 17789 8624 17789 8627 17789 8776 17790 8774 17790 8624 17790 8777 17791 8778 17791 8627 17791 8779 17792 8627 17792 8778 17792 8628 17793 8777 17793 8627 17793 8776 17794 8627 17794 8779 17794 8780 17795 8781 17795 8778 17795 8782 17796 8778 17796 8781 17796 8777 17797 8780 17797 8778 17797 8779 17798 8778 17798 8782 17798 8783 17799 8636 17799 8781 17799 8784 17800 8781 17800 8636 17800 8780 17801 8783 17801 8781 17801 8782 17802 8781 17802 8784 17802 8783 17803 8768 17803 8636 17803 8784 17804 8636 17804 8775 17804 8785 17805 8656 17805 8643 17805 8661 17806 8656 17806 8786 17806 8787 17807 8786 17807 8656 17807 8787 17808 8656 17808 8785 17808 8788 17809 8643 17809 8649 17809 8788 17810 8785 17810 8643 17810 8789 17811 8649 17811 8650 17811 8788 17812 8649 17812 8789 17812 8790 17813 8791 17813 8650 17813 8792 17814 8650 17814 8791 17814 8651 17815 8790 17815 8650 17815 8789 17816 8650 17816 8792 17816 8793 17817 8786 17817 8791 17817 8794 17818 8791 17818 8786 17818 8790 17819 8793 17819 8791 17819 8792 17820 8791 17820 8794 17820 8793 17821 8661 17821 8786 17821 8794 17822 8786 17822 8787 17822 8795 17823 8668 17823 8659 17823 8796 17824 8667 17824 8668 17824 8796 17825 8668 17825 8795 17825 8797 17826 8659 17826 8662 17826 8797 17827 8795 17827 8659 17827 8798 17828 8799 17828 8662 17828 8800 17829 8662 17829 8799 17829 8661 17830 8798 17830 8662 17830 8797 17831 8662 17831 8800 17831 8801 17832 8802 17832 8799 17832 8803 17833 8799 17833 8802 17833 8798 17834 8801 17834 8799 17834 8800 17835 8799 17835 8803 17835 8804 17836 8667 17836 8802 17836 8805 17837 8802 17837 8667 17837 8801 17838 8804 17838 8802 17838 8803 17839 8802 17839 8805 17839 8804 17840 8748 17840 8667 17840 8805 17841 8667 17841 8796 17841 8806 17842 8621 17842 8608 17842 8628 17843 8621 17843 8807 17843 8808 17844 8807 17844 8621 17844 8808 17845 8621 17845 8806 17845 8809 17846 8608 17846 8614 17846 8809 17847 8806 17847 8608 17847 8810 17848 8614 17848 8615 17848 8809 17849 8614 17849 8810 17849 8811 17850 8812 17850 8615 17850 8813 17851 8615 17851 8812 17851 8616 17852 8811 17852 8615 17852 8810 17853 8615 17853 8813 17853 8814 17854 8807 17854 8812 17854 8815 17855 8812 17855 8807 17855 8811 17856 8814 17856 8812 17856 8813 17857 8812 17857 8815 17857 8628 17858 8807 17858 8814 17858 8815 17859 8807 17859 8808 17859 8816 17860 8674 17860 8733 17860 8677 17861 8674 17861 8817 17861 8818 17862 8817 17862 8674 17862 8818 17863 8674 17863 8816 17863 8728 17864 8819 17864 8733 17864 8820 17865 8733 17865 8819 17865 8820 17866 8816 17866 8733 17866 8677 17867 8817 17867 8819 17867 8821 17868 8819 17868 8817 17868 8728 17869 8677 17869 8819 17869 8820 17870 8819 17870 8821 17870 8821 17871 8817 17871 8818 17871 8822 17872 8721 17872 8770 17872 8823 17873 8761 17873 8721 17873 8823 17874 8721 17874 8822 17874 8824 17875 8770 17875 8758 17875 8824 17876 8822 17876 8770 17876 8825 17877 8758 17877 8761 17877 8824 17878 8758 17878 8825 17878 8825 17879 8761 17879 8823 17879 8826 17880 8723 17880 8600 17880 8827 17881 8730 17881 8723 17881 8827 17882 8723 17882 8826 17882 8828 17883 8600 17883 8607 17883 8826 17884 8600 17884 8828 17884 8829 17885 8607 17885 8604 17885 8828 17886 8607 17886 8829 17886 8830 17887 8604 17887 8669 17887 8829 17888 8604 17888 8830 17888 8831 17889 8669 17889 8665 17889 8830 17890 8669 17890 8831 17890 8832 17891 8665 17891 8684 17891 8832 17892 8831 17892 8665 17892 8833 17893 8684 17893 8678 17893 8832 17894 8684 17894 8833 17894 8834 17895 8678 17895 8681 17895 8833 17896 8678 17896 8834 17896 8835 17897 8681 17897 8670 17897 8834 17898 8681 17898 8835 17898 8836 17899 8670 17899 8677 17899 8835 17900 8670 17900 8836 17900 8837 17901 8677 17901 8728 17901 8836 17902 8677 17902 8837 17902 8838 17903 8728 17903 8731 17903 8837 17904 8728 17904 8838 17904 8839 17905 8731 17905 8730 17905 8838 17906 8731 17906 8839 17906 8839 17907 8730 17907 8827 17907 8840 17908 8841 17908 8842 17908 8843 17909 8842 17909 8841 17909 8744 17910 8840 17910 8842 17910 8844 17911 8744 17911 8842 17911 8844 17912 8842 17912 8843 17912 8845 17913 8841 17913 8840 17913 8843 17914 8841 17914 8845 17914 8744 17915 8742 17915 8840 17915 8846 17916 8840 17916 8742 17916 8845 17917 8840 17917 8846 17917 8847 17918 8742 17918 8748 17918 8846 17919 8742 17919 8847 17919 8848 17920 8748 17920 8804 17920 8847 17921 8748 17921 8848 17921 8849 17922 8804 17922 8801 17922 8848 17923 8804 17923 8849 17923 8850 17924 8801 17924 8798 17924 8850 17925 8849 17925 8801 17925 8851 17926 8798 17926 8661 17926 8850 17927 8798 17927 8851 17927 8852 17928 8661 17928 8793 17928 8851 17929 8661 17929 8852 17929 8853 17930 8793 17930 8790 17930 8852 17931 8793 17931 8853 17931 8854 17932 8790 17932 8651 17932 8853 17933 8790 17933 8854 17933 8855 17934 8651 17934 8648 17934 8854 17935 8651 17935 8855 17935 8856 17936 8648 17936 8744 17936 8855 17937 8648 17937 8856 17937 8856 17938 8744 17938 8844 17938 8857 17939 8704 17939 8701 17939 8858 17940 8710 17940 8704 17940 8858 17941 8704 17941 8857 17941 8859 17942 8701 17942 8696 17942 8857 17943 8701 17943 8859 17943 8860 17944 8696 17944 8699 17944 8859 17945 8696 17945 8860 17945 8861 17946 8699 17946 8700 17946 8860 17947 8699 17947 8861 17947 8862 17948 8700 17948 8693 17948 8861 17949 8700 17949 8862 17949 8863 17950 8693 17950 8639 17950 8862 17951 8693 17951 8863 17951 8864 17952 8639 17952 8642 17952 8864 17953 8863 17953 8639 17953 8865 17954 8642 17954 8629 17954 8864 17955 8642 17955 8865 17955 8866 17956 8629 17956 8638 17956 8865 17957 8629 17957 8866 17957 8867 17958 8638 17958 8634 17958 8866 17959 8638 17959 8867 17959 8868 17960 8634 17960 8713 17960 8867 17961 8634 17961 8868 17961 8869 17962 8713 17962 8707 17962 8868 17963 8713 17963 8869 17963 8870 17964 8707 17964 8710 17964 8869 17965 8707 17965 8870 17965 8870 17966 8710 17966 8858 17966 8871 17967 8814 17967 8811 17967 8872 17968 8628 17968 8814 17968 8872 17969 8814 17969 8871 17969 8873 17970 8811 17970 8616 17970 8871 17971 8811 17971 8873 17971 8874 17972 8616 17972 8613 17972 8873 17973 8616 17973 8874 17973 8875 17974 8613 17974 8764 17974 8874 17975 8613 17975 8875 17975 8876 17976 8877 17976 8764 17976 8878 17977 8764 17977 8877 17977 8762 17978 8876 17978 8764 17978 8878 17979 8875 17979 8764 17979 8876 17980 8879 17980 8877 17980 8880 17981 8877 17981 8879 17981 8878 17982 8877 17982 8880 17982 8881 17983 8879 17983 8876 17983 8880 17984 8879 17984 8881 17984 8882 17985 8876 17985 8762 17985 8881 17986 8876 17986 8882 17986 8883 17987 8762 17987 8768 17987 8882 17988 8762 17988 8883 17988 8884 17989 8768 17989 8783 17989 8883 17990 8768 17990 8884 17990 8885 17991 8783 17991 8780 17991 8884 17992 8783 17992 8885 17992 8886 17993 8780 17993 8777 17993 8885 17994 8780 17994 8886 17994 8887 17995 8777 17995 8628 17995 8886 17996 8777 17996 8887 17996 8887 17997 8628 17997 8872 17997 8867 17998 8888 17998 8889 17998 8890 17999 8889 17999 8888 17999 8866 18000 8889 18000 8891 18000 8892 18001 8891 18001 8889 18001 8866 18002 8867 18002 8889 18002 8892 18003 8889 18003 8890 18003 8887 18004 8893 18004 8888 18004 8894 18005 8888 18005 8893 18005 8895 18006 8896 18006 8888 18006 8887 18007 8888 18007 8896 18007 8868 18008 8895 18008 8888 18008 8867 18009 8868 18009 8888 18009 8890 18010 8888 18010 8894 18010 8872 18011 8897 18011 8893 18011 8898 18012 8893 18012 8897 18012 8887 18013 8872 18013 8893 18013 8894 18014 8893 18014 8898 18014 8872 18015 8899 18015 8897 18015 8900 18016 8897 18016 8899 18016 8898 18017 8897 18017 8900 18017 8901 18018 8902 18018 8899 18018 8903 18019 8899 18019 8902 18019 8904 18020 8901 18020 8899 18020 8874 18021 8904 18021 8899 18021 8873 18022 8874 18022 8899 18022 8871 18023 8873 18023 8899 18023 8872 18024 8871 18024 8899 18024 8900 18025 8899 18025 8903 18025 8830 18026 8905 18026 8902 18026 8906 18027 8902 18027 8905 18027 8901 18028 8907 18028 8902 18028 8908 18029 8902 18029 8907 18029 8826 18030 8902 18030 8908 18030 8829 18031 8830 18031 8902 18031 8828 18032 8829 18032 8902 18032 8826 18033 8828 18033 8902 18033 8903 18034 8902 18034 8906 18034 8831 18035 8909 18035 8905 18035 8910 18036 8905 18036 8909 18036 8830 18037 8831 18037 8905 18037 8906 18038 8905 18038 8910 18038 8851 18039 8911 18039 8909 18039 8912 18040 8909 18040 8911 18040 8913 18041 8914 18041 8909 18041 8851 18042 8909 18042 8914 18042 8832 18043 8913 18043 8909 18043 8832 18044 8909 18044 8831 18044 8912 18045 8910 18045 8909 18045 8852 18046 8915 18046 8911 18046 8916 18047 8911 18047 8915 18047 8851 18048 8852 18048 8911 18048 8912 18049 8911 18049 8916 18049 8852 18050 8917 18050 8915 18050 8918 18051 8915 18051 8917 18051 8916 18052 8915 18052 8918 18052 8919 18053 8891 18053 8917 18053 8920 18054 8917 18054 8891 18054 8921 18055 8919 18055 8917 18055 8855 18056 8921 18056 8917 18056 8854 18057 8855 18057 8917 18057 8853 18058 8854 18058 8917 18058 8852 18059 8853 18059 8917 18059 8918 18060 8917 18060 8920 18060 8919 18061 8922 18061 8891 18061 8923 18062 8891 18062 8922 18062 8863 18063 8891 18063 8923 18063 8864 18064 8891 18064 8863 18064 8865 18065 8866 18065 8891 18065 8864 18066 8865 18066 8891 18066 8920 18067 8891 18067 8892 18067 8736 18068 8922 18068 8919 18068 8738 18069 8923 18069 8922 18069 8738 18070 8922 18070 8736 18070 8737 18071 8919 18071 8921 18071 8736 18072 8919 18072 8737 18072 8844 18073 8924 18073 8921 18073 8743 18074 8921 18074 8924 18074 8856 18075 8844 18075 8921 18075 8855 18076 8856 18076 8921 18076 8737 18077 8921 18077 8743 18077 8695 18078 8925 18078 8924 18078 8741 18079 8924 18079 8925 18079 8690 18080 8924 18080 8844 18080 8690 18081 8695 18081 8924 18081 8743 18082 8924 18082 8741 18082 8698 18083 8923 18083 8925 18083 8739 18084 8925 18084 8923 18084 8695 18085 8698 18085 8925 18085 8739 18086 8741 18086 8925 18086 8862 18087 8863 18087 8923 18087 8698 18088 8862 18088 8923 18088 8739 18089 8923 18089 8738 18089 8850 18090 8914 18090 8926 18090 8746 18091 8926 18091 8914 18091 8848 18092 8926 18092 8927 18092 8749 18093 8927 18093 8926 18093 8848 18094 8849 18094 8926 18094 8850 18095 8926 18095 8849 18095 8749 18096 8926 18096 8746 18096 8747 18097 8914 18097 8913 18097 8850 18098 8851 18098 8914 18098 8746 18099 8914 18099 8747 18099 8833 18100 8928 18100 8913 18100 8752 18101 8913 18101 8928 18101 8832 18102 8833 18102 8913 18102 8747 18103 8913 18103 8752 18103 8683 18104 8929 18104 8928 18104 8751 18105 8928 18105 8929 18105 8834 18106 8835 18106 8928 18106 8683 18107 8928 18107 8835 18107 8833 18108 8834 18108 8928 18108 8752 18109 8928 18109 8751 18109 8847 18110 8927 18110 8929 18110 8750 18111 8929 18111 8927 18111 8844 18112 8847 18112 8929 18112 8687 18113 8844 18113 8929 18113 8683 18114 8687 18114 8929 18114 8750 18115 8751 18115 8929 18115 8847 18116 8848 18116 8927 18116 8750 18117 8927 18117 8749 18117 8754 18118 8907 18118 8901 18118 8756 18119 8908 18119 8907 18119 8756 18120 8907 18120 8754 18120 8755 18121 8901 18121 8904 18121 8754 18122 8901 18122 8755 18122 8930 18123 8931 18123 8904 18123 8763 18124 8904 18124 8931 18124 8874 18125 8875 18125 8904 18125 8878 18126 8904 18126 8875 18126 8930 18127 8904 18127 8878 18127 8755 18128 8904 18128 8763 18128 8725 18129 8932 18129 8931 18129 8760 18130 8931 18130 8932 18130 8933 18131 8725 18131 8931 18131 8930 18132 8933 18132 8931 18132 8763 18133 8931 18133 8760 18133 8732 18134 8908 18134 8932 18134 8757 18135 8932 18135 8908 18135 8725 18136 8732 18136 8932 18136 8757 18137 8760 18137 8932 18137 8827 18138 8826 18138 8908 18138 8732 18139 8827 18139 8908 18139 8757 18140 8908 18140 8756 18140 8886 18141 8896 18141 8934 18141 8766 18142 8934 18142 8896 18142 8884 18143 8934 18143 8935 18143 8769 18144 8935 18144 8934 18144 8885 18145 8886 18145 8934 18145 8884 18146 8885 18146 8934 18146 8769 18147 8934 18147 8766 18147 8767 18148 8896 18148 8895 18148 8886 18149 8887 18149 8896 18149 8766 18150 8896 18150 8767 18150 8869 18151 8936 18151 8895 18151 8773 18152 8895 18152 8936 18152 8868 18153 8869 18153 8895 18153 8767 18154 8895 18154 8773 18154 8712 18155 8937 18155 8936 18155 8772 18156 8936 18156 8937 18156 8870 18157 8858 18157 8936 18157 8712 18158 8936 18158 8858 18158 8869 18159 8870 18159 8936 18159 8773 18160 8936 18160 8772 18160 8883 18161 8935 18161 8937 18161 8771 18162 8937 18162 8935 18162 8938 18163 8883 18163 8937 18163 8939 18164 8938 18164 8937 18164 8716 18165 8939 18165 8937 18165 8712 18166 8716 18166 8937 18166 8771 18167 8772 18167 8937 18167 8883 18168 8884 18168 8935 18168 8771 18169 8935 18169 8769 18169 8940 18170 8839 18170 8827 18170 8940 18171 8827 18171 8732 18171 8732 18172 8729 18172 8940 18172 8941 18173 8838 18173 8839 18173 8940 18174 8941 18174 8839 18174 8942 18175 8837 18175 8838 18175 8943 18176 8942 18176 8838 18176 8944 18177 8943 18177 8838 18177 8941 18178 8944 18178 8838 18178 8680 18179 8836 18179 8837 18179 8945 18180 8837 18180 8942 18180 8946 18181 8680 18181 8837 18181 8945 18182 8946 18182 8837 18182 8683 18183 8835 18183 8836 18183 8680 18184 8683 18184 8836 18184 8843 18185 8846 18185 8847 18185 8844 18186 8843 18186 8847 18186 8843 18187 8845 18187 8846 18187 8687 18188 8690 18188 8844 18188 8703 18189 8861 18189 8862 18189 8698 18190 8703 18190 8862 18190 8703 18191 8860 18191 8861 18191 8706 18192 8859 18192 8860 18192 8703 18193 8706 18193 8860 18193 8709 18194 8857 18194 8859 18194 8706 18195 8709 18195 8859 18195 8712 18196 8858 18196 8857 18196 8709 18197 8712 18197 8857 18197 8947 18198 8882 18198 8883 18198 8938 18199 8947 18199 8883 18199 8947 18200 8881 18200 8882 18200 8947 18201 8880 18201 8881 18201 8948 18202 8878 18202 8880 18202 8947 18203 8948 18203 8880 18203 8949 18204 8930 18204 8878 18204 8948 18205 8949 18205 8878 18205 8950 18206 8942 18206 8943 18206 8951 18207 8945 18207 8942 18207 8951 18208 8942 18208 8950 18208 8952 18209 8943 18209 8944 18209 8952 18210 8950 18210 8943 18210 8953 18211 8944 18211 8941 18211 8952 18212 8944 18212 8953 18212 8954 18213 8941 18213 8940 18213 8953 18214 8941 18214 8954 18214 8734 18215 8940 18215 8729 18215 8955 18216 8940 18216 8734 18216 8954 18217 8940 18217 8955 18217 8956 18218 8725 18218 8933 18218 8957 18219 8726 18219 8725 18219 8956 18220 8957 18220 8725 18220 8956 18221 8933 18221 8930 18221 8958 18222 8930 18222 8949 18222 8956 18223 8930 18223 8958 18223 8959 18224 8949 18224 8948 18224 8958 18225 8949 18225 8959 18225 8960 18226 8948 18226 8947 18226 8960 18227 8959 18227 8948 18227 8961 18228 8947 18228 8938 18228 8960 18229 8947 18229 8961 18229 8962 18230 8938 18230 8939 18230 8961 18231 8938 18231 8962 18231 8716 18232 8719 18232 8939 18232 8727 18233 8939 18233 8719 18233 8963 18234 8939 18234 8727 18234 8962 18235 8939 18235 8963 18235 8946 18236 8673 18236 8680 18236 8964 18237 8673 18237 8946 18237 8965 18238 8676 18238 8673 18238 8964 18239 8965 18239 8673 18239 8964 18240 8946 18240 8945 18240 8964 18241 8945 18241 8951 18241 8606 18242 8603 18242 8610 18242 8809 18243 8610 18243 8619 18243 8966 18244 8606 18244 8610 18244 8809 18245 8966 18245 8610 18245 8808 18246 8619 18246 8622 18246 8808 18247 8806 18247 8619 18247 8809 18248 8619 18248 8806 18248 8967 18249 8622 18249 8623 18249 8967 18250 8968 18250 8622 18250 8815 18251 8622 18251 8968 18251 8815 18252 8808 18252 8622 18252 8969 18253 8623 18253 8626 18253 8969 18254 8967 18254 8623 18254 8776 18255 8626 18255 8631 18255 8782 18256 8969 18256 8626 18256 8779 18257 8782 18257 8626 18257 8776 18258 8779 18258 8626 18258 8645 18259 8631 18259 8641 18259 8970 18260 8631 18260 8645 18260 8970 18261 8971 18261 8631 18261 8774 18262 8631 18262 8971 18262 8776 18263 8631 18263 8774 18263 8788 18264 8645 18264 8654 18264 8788 18265 8970 18265 8645 18265 8787 18266 8654 18266 8657 18266 8787 18267 8785 18267 8654 18267 8788 18268 8654 18268 8785 18268 8972 18269 8657 18269 8658 18269 8972 18270 8973 18270 8657 18270 8794 18271 8657 18271 8973 18271 8794 18272 8787 18272 8657 18272 8974 18273 8658 18273 8660 18273 8974 18274 8972 18274 8658 18274 8797 18275 8660 18275 8606 18275 8803 18276 8974 18276 8660 18276 8800 18277 8803 18277 8660 18277 8797 18278 8800 18278 8660 18278 8975 18279 8606 18279 8966 18279 8795 18280 8606 18280 8975 18280 8797 18281 8606 18281 8795 18281 8953 18282 8734 18282 8676 18282 8954 18283 8955 18283 8734 18283 8953 18284 8954 18284 8734 18284 8818 18285 8676 18285 8965 18285 8818 18286 8816 18286 8676 18286 8820 18287 8676 18287 8816 18287 8953 18288 8676 18288 8820 18288 8950 18289 8818 18289 8965 18289 8951 18290 8950 18290 8965 18290 8964 18291 8951 18291 8965 18291 8958 18292 8727 18292 8726 18292 8958 18293 8822 18293 8727 18293 8963 18294 8727 18294 8822 18294 8956 18295 8726 18295 8957 18295 8956 18296 8958 18296 8726 18296 8809 18297 8976 18297 8966 18297 8977 18298 8966 18298 8976 18298 8978 18299 8975 18299 8966 18299 8977 18300 8978 18300 8966 18300 8815 18301 8968 18301 8976 18301 8979 18302 8976 18302 8968 18302 8813 18303 8815 18303 8976 18303 8810 18304 8813 18304 8976 18304 8809 18305 8810 18305 8976 18305 8979 18306 8977 18306 8976 18306 8980 18307 8968 18307 8967 18307 8980 18308 8979 18308 8968 18308 8981 18309 8967 18309 8969 18309 8981 18310 8980 18310 8967 18310 8784 18311 8971 18311 8969 18311 8982 18312 8969 18312 8971 18312 8782 18313 8784 18313 8969 18313 8982 18314 8981 18314 8969 18314 8983 18315 8971 18315 8970 18315 8775 18316 8774 18316 8971 18316 8784 18317 8775 18317 8971 18317 8983 18318 8982 18318 8971 18318 8788 18319 8984 18319 8970 18319 8985 18320 8970 18320 8984 18320 8983 18321 8970 18321 8985 18321 8794 18322 8973 18322 8984 18322 8986 18323 8984 18323 8973 18323 8792 18324 8794 18324 8984 18324 8789 18325 8792 18325 8984 18325 8788 18326 8789 18326 8984 18326 8986 18327 8985 18327 8984 18327 8987 18328 8973 18328 8972 18328 8987 18329 8986 18329 8973 18329 8988 18330 8972 18330 8974 18330 8988 18331 8987 18331 8972 18331 8805 18332 8975 18332 8974 18332 8989 18333 8974 18333 8975 18333 8803 18334 8805 18334 8974 18334 8989 18335 8988 18335 8974 18335 8796 18336 8795 18336 8975 18336 8805 18337 8796 18337 8975 18337 8978 18338 8989 18338 8975 18338 8890 18339 8985 18339 8986 18339 8890 18340 8983 18340 8985 18340 8892 18341 8986 18341 8987 18341 8892 18342 8890 18342 8986 18342 8920 18343 8987 18343 8988 18343 8920 18344 8892 18344 8987 18344 8918 18345 8988 18345 8989 18345 8918 18346 8920 18346 8988 18346 8912 18347 8989 18347 8978 18347 8916 18348 8918 18348 8989 18348 8912 18349 8916 18349 8989 18349 8910 18350 8978 18350 8977 18350 8912 18351 8978 18351 8910 18351 8910 18352 8977 18352 8979 18352 8906 18353 8979 18353 8980 18353 8906 18354 8910 18354 8979 18354 8903 18355 8980 18355 8981 18355 8903 18356 8906 18356 8980 18356 8900 18357 8981 18357 8982 18357 8900 18358 8903 18358 8981 18358 8894 18359 8982 18359 8983 18359 8898 18360 8900 18360 8982 18360 8894 18361 8898 18361 8982 18361 8890 18362 8894 18362 8983 18362 8958 18363 8823 18363 8822 18363 8963 18364 8822 18364 8824 18364 8958 18365 8825 18365 8823 18365 8963 18366 8824 18366 8825 18366 8958 18367 8959 18367 8825 18367 8962 18368 8825 18368 8959 18368 8962 18369 8963 18369 8825 18369 8952 18370 8821 18370 8818 18370 8952 18371 8818 18371 8950 18371 8952 18372 8820 18372 8821 18372 8952 18373 8953 18373 8820 18373 8960 18374 8962 18374 8959 18374 8960 18375 8961 18375 8962 18375 8990 18376 8991 18376 8992 18376 8993 18377 8992 18377 8991 18377 8994 18378 8992 18378 8995 18378 8996 18379 8995 18379 8992 18379 8994 18380 8990 18380 8992 18380 8996 18381 8992 18381 8993 18381 8997 18382 8998 18382 8991 18382 8999 18383 8991 18383 8998 18383 8997 18384 8991 18384 9000 18384 8990 18385 9000 18385 8991 18385 8999 18386 8993 18386 8991 18386 9001 18387 9002 18387 8998 18387 9003 18388 8998 18388 9002 18388 9001 18389 8998 18389 8997 18389 8999 18390 8998 18390 9003 18390 9001 18391 9004 18391 9002 18391 9005 18392 9002 18392 9004 18392 9003 18393 9002 18393 9005 18393 9001 18394 8995 18394 9004 18394 9006 18395 9004 18395 8995 18395 9005 18396 9004 18396 9006 18396 9001 18397 8994 18397 8995 18397 9006 18398 8995 18398 8996 18398 8990 18399 9007 18399 9000 18399 9008 18400 9000 18400 9007 18400 9009 18401 8997 18401 9000 18401 9009 18402 9000 18402 9008 18402 9010 18403 9011 18403 9007 18403 9012 18404 9007 18404 9011 18404 8990 18405 9010 18405 9007 18405 9012 18406 9008 18406 9007 18406 9013 18407 9014 18407 9011 18407 9015 18408 9011 18408 9014 18408 9013 18409 9011 18409 9010 18409 9012 18410 9011 18410 9015 18410 9001 18411 9016 18411 9014 18411 9017 18412 9014 18412 9016 18412 9013 18413 9001 18413 9014 18413 9015 18414 9014 18414 9017 18414 9001 18415 8997 18415 9016 18415 9018 18416 9016 18416 8997 18416 9017 18417 9016 18417 9018 18417 9018 18418 8997 18418 9009 18418 8990 18419 9019 18419 9020 18419 9021 18420 9020 18420 9019 18420 8990 18421 9020 18421 9010 18421 9022 18422 9010 18422 9020 18422 9022 18423 9020 18423 9021 18423 8990 18424 9023 18424 9019 18424 9024 18425 9019 18425 9023 18425 9024 18426 9021 18426 9019 18426 9013 18427 9025 18427 9023 18427 9026 18428 9023 18428 9025 18428 8990 18429 9027 18429 9023 18429 9013 18430 9023 18430 9027 18430 9024 18431 9023 18431 9026 18431 9013 18432 9028 18432 9025 18432 9029 18433 9025 18433 9028 18433 9026 18434 9025 18434 9029 18434 9013 18435 9010 18435 9028 18435 9030 18436 9028 18436 9010 18436 9029 18437 9028 18437 9030 18437 9030 18438 9010 18438 9022 18438 8990 18439 9031 18439 9032 18439 9033 18440 9032 18440 9031 18440 8990 18441 9032 18441 9027 18441 9034 18442 9027 18442 9032 18442 9034 18443 9032 18443 9033 18443 8990 18444 9035 18444 9031 18444 9036 18445 9031 18445 9035 18445 9036 18446 9033 18446 9031 18446 9037 18447 9038 18447 9035 18447 9039 18448 9035 18448 9038 18448 9037 18449 9035 18449 8990 18449 9036 18450 9035 18450 9039 18450 9013 18451 9040 18451 9038 18451 9041 18452 9038 18452 9040 18452 9037 18453 9013 18453 9038 18453 9039 18454 9038 18454 9041 18454 9013 18455 9027 18455 9040 18455 9042 18456 9040 18456 9027 18456 9041 18457 9040 18457 9042 18457 9042 18458 9027 18458 9034 18458 9043 18459 8990 18459 8994 18459 9044 18460 9037 18460 8990 18460 9045 18461 9044 18461 8990 18461 9045 18462 8990 18462 9046 18462 9043 18463 9046 18463 8990 18463 9047 18464 8994 18464 9001 18464 9048 18465 8994 18465 9049 18465 9050 18466 9049 18466 8994 18466 9043 18467 8994 18467 9048 18467 9051 18468 9050 18468 8994 18468 9047 18469 9051 18469 8994 18469 9052 18470 9001 18470 9013 18470 9053 18471 9001 18471 9052 18471 9053 18472 9054 18472 9001 18472 9047 18473 9001 18473 9054 18473 9055 18474 9013 18474 9037 18474 9055 18475 9052 18475 9013 18475 9044 18476 9056 18476 9037 18476 9057 18477 9037 18477 9056 18477 9057 18478 9055 18478 9037 18478 9049 18479 9058 18479 9059 18479 9060 18480 9059 18480 9058 18480 9048 18481 9049 18481 9059 18481 9061 18482 9048 18482 9059 18482 9060 18483 9061 18483 9059 18483 9050 18484 9058 18484 9049 18484 9062 18485 9058 18485 9063 18485 9051 18486 9063 18486 9058 18486 9062 18487 9060 18487 9058 18487 9051 18488 9058 18488 9050 18488 9043 18489 9048 18489 9061 18489 9052 18490 9064 18490 9065 18490 9066 18491 9065 18491 9064 18491 9054 18492 9052 18492 9065 18492 9063 18493 9054 18493 9065 18493 9067 18494 9065 18494 9066 18494 9063 18495 9065 18495 9067 18495 9055 18496 9064 18496 9052 18496 9068 18497 9066 18497 9064 18497 9069 18498 9068 18498 9064 18498 9055 18499 9069 18499 9064 18499 9053 18500 9052 18500 9054 18500 9047 18501 9054 18501 9063 18501 9068 18502 9067 18502 9066 18502 9062 18503 9067 18503 9068 18503 9062 18504 9063 18504 9067 18504 9070 18505 9068 18505 9069 18505 9071 18506 9062 18506 9068 18506 9071 18507 9068 18507 9070 18507 9055 18508 9072 18508 9069 18508 9017 18509 9069 18509 9072 18509 9006 18510 9070 18510 9069 18510 9005 18511 9006 18511 9069 18511 9003 18512 9005 18512 9069 18512 8999 18513 9003 18513 9069 18513 9018 18514 8999 18514 9069 18514 9017 18515 9018 18515 9069 18515 9073 18516 9074 18516 9072 18516 9041 18517 9072 18517 9074 18517 9075 18518 9073 18518 9072 18518 9076 18519 9075 18519 9072 18519 9056 18520 9076 18520 9072 18520 9055 18521 9056 18521 9072 18521 9015 18522 9017 18522 9072 18522 9012 18523 9015 18523 9072 18523 9030 18524 9012 18524 9072 18524 9029 18525 9030 18525 9072 18525 9026 18526 9029 18526 9072 18526 9024 18527 9026 18527 9072 18527 9042 18528 9024 18528 9072 18528 9041 18529 9042 18529 9072 18529 9077 18530 9074 18530 9073 18530 9033 18531 9074 18531 9077 18531 9036 18532 9074 18532 9033 18532 9039 18533 9041 18533 9074 18533 9036 18534 9039 18534 9074 18534 9060 18535 9073 18535 9075 18535 9078 18536 9073 18536 9060 18536 9078 18537 9077 18537 9073 18537 9060 18538 9075 18538 9076 18538 9044 18539 9076 18539 9056 18539 9044 18540 9079 18540 9076 18540 9060 18541 9076 18541 9079 18541 9057 18542 9056 18542 9055 18542 9045 18543 9079 18543 9044 18543 9060 18544 9079 18544 9061 18544 9046 18545 9061 18545 9079 18545 9045 18546 9046 18546 9079 18546 9047 18547 9063 18547 9051 18547 9043 18548 9061 18548 9046 18548 9078 18549 9060 18549 9062 18549 9078 18550 9062 18550 9071 18550 9033 18551 9077 18551 9070 18551 9080 18552 9070 18552 9077 18552 8996 18553 8993 18553 9070 18553 9009 18554 9070 18554 8993 18554 9006 18555 8996 18555 9070 18555 9009 18556 9008 18556 9070 18556 9022 18557 9070 18557 9008 18557 9022 18558 9021 18558 9070 18558 9033 18559 9070 18559 9021 18559 9081 18560 9071 18560 9070 18560 9082 18561 9081 18561 9070 18561 9083 18562 9082 18562 9070 18562 9080 18563 9083 18563 9070 18563 9084 18564 9077 18564 9078 18564 9085 18565 9077 18565 9084 18565 9080 18566 9077 18566 9085 18566 9009 18567 8993 18567 8999 18567 9018 18568 9009 18568 8999 18568 9022 18569 9008 18569 9012 18569 9030 18570 9022 18570 9012 18570 9034 18571 9021 18571 9024 18571 9034 18572 9033 18572 9021 18572 9042 18573 9034 18573 9024 18573 9084 18574 9078 18574 9071 18574 9081 18575 9084 18575 9071 18575 9086 18576 9084 18576 9081 18576 9087 18577 9085 18577 9084 18577 9088 18578 9087 18578 9084 18578 9089 18579 9088 18579 9084 18579 9090 18580 9089 18580 9084 18580 9090 18581 9084 18581 9086 18581 9082 18582 9091 18582 9081 18582 9092 18583 9081 18583 9091 18583 9093 18584 9094 18584 9081 18584 9095 18585 9081 18585 9094 18585 9092 18586 9093 18586 9081 18586 9096 18587 9081 18587 9095 18587 9097 18588 9098 18588 9081 18588 9099 18589 9081 18589 9098 18589 9096 18590 9097 18590 9081 18590 9099 18591 9100 18591 9081 18591 9101 18592 9081 18592 9100 18592 9101 18593 9086 18593 9081 18593 9082 18594 9102 18594 9091 18594 9088 18595 9091 18595 9102 18595 9089 18596 9091 18596 9088 18596 9103 18597 9091 18597 9089 18597 9103 18598 9092 18598 9091 18598 9082 18599 9104 18599 9102 18599 9087 18600 9102 18600 9104 18600 9088 18601 9102 18601 9087 18601 9105 18602 9104 18602 9082 18602 9106 18603 9087 18603 9104 18603 9106 18604 9104 18604 9105 18604 9107 18605 9108 18605 9082 18605 9105 18606 9082 18606 9108 18606 9083 18607 9107 18607 9082 18607 9109 18608 9085 18608 9087 18608 9109 18609 9080 18609 9085 18609 9106 18610 9109 18610 9087 18610 9110 18611 9103 18611 9089 18611 9111 18612 9110 18612 9089 18612 9112 18613 9111 18613 9089 18613 9113 18614 9112 18614 9089 18614 9114 18615 9113 18615 9089 18615 9115 18616 9114 18616 9089 18616 9116 18617 9115 18617 9089 18617 9117 18618 9116 18618 9089 18618 9118 18619 9117 18619 9089 18619 9090 18620 9118 18620 9089 18620 9105 18621 9108 18621 9107 18621 9119 18622 9107 18622 9083 18622 9105 18623 9107 18623 9120 18623 9119 18624 9120 18624 9107 18624 9121 18625 9083 18625 9080 18625 9122 18626 9119 18626 9083 18626 9122 18627 9083 18627 9121 18627 9109 18628 9123 18628 9080 18628 9124 18629 9080 18629 9123 18629 9125 18630 9080 18630 9124 18630 9126 18631 9080 18631 9127 18631 9128 18632 9127 18632 9080 18632 9128 18633 9080 18633 9125 18633 9129 18634 9121 18634 9080 18634 9130 18635 9129 18635 9080 18635 9131 18636 9130 18636 9080 18636 9132 18637 9131 18637 9080 18637 9133 18638 9132 18638 9080 18638 9134 18639 9133 18639 9080 18639 9135 18640 9136 18640 9080 18640 9134 18641 9080 18641 9136 18641 9137 18642 9135 18642 9080 18642 9138 18643 9137 18643 9080 18643 9139 18644 9140 18644 9080 18644 9138 18645 9080 18645 9140 18645 9126 18646 9139 18646 9080 18646 9124 18647 9123 18647 9109 18647 9106 18648 9124 18648 9109 18648 9121 18649 9094 18649 9093 18649 9129 18650 9095 18650 9094 18650 9129 18651 9094 18651 9121 18651 9122 18652 9093 18652 9092 18652 9122 18653 9121 18653 9093 18653 9141 18654 9092 18654 9103 18654 9122 18655 9092 18655 9141 18655 9142 18656 9103 18656 9110 18656 9141 18657 9103 18657 9142 18657 9111 18658 9095 18658 9110 18658 9130 18659 9110 18659 9095 18659 9142 18660 9110 18660 9130 18660 9111 18661 9096 18661 9095 18661 9130 18662 9095 18662 9129 18662 9131 18663 9098 18663 9097 18663 9143 18664 9098 18664 9144 18664 9132 18665 9144 18665 9098 18665 9143 18666 9099 18666 9098 18666 9132 18667 9098 18667 9131 18667 9145 18668 9097 18668 9096 18668 9145 18669 9131 18669 9097 18669 9146 18670 9096 18670 9111 18670 9145 18671 9096 18671 9146 18671 9147 18672 9111 18672 9112 18672 9146 18673 9111 18673 9147 18673 9113 18674 9144 18674 9112 18674 9133 18675 9112 18675 9144 18675 9147 18676 9112 18676 9133 18676 9113 18677 9143 18677 9144 18677 9133 18678 9144 18678 9132 18678 9136 18679 9100 18679 9099 18679 9116 18680 9100 18680 9115 18680 9135 18681 9115 18681 9100 18681 9116 18682 9101 18682 9100 18682 9135 18683 9100 18683 9136 18683 9134 18684 9099 18684 9143 18684 9134 18685 9136 18685 9099 18685 9148 18686 9143 18686 9113 18686 9134 18687 9143 18687 9148 18687 9149 18688 9113 18688 9114 18688 9148 18689 9113 18689 9149 18689 9137 18690 9114 18690 9115 18690 9149 18691 9114 18691 9137 18691 9137 18692 9115 18692 9135 18692 9140 18693 9086 18693 9101 18693 9139 18694 9090 18694 9086 18694 9139 18695 9086 18695 9140 18695 9138 18696 9101 18696 9116 18696 9138 18697 9140 18697 9101 18697 9150 18698 9116 18698 9117 18698 9138 18699 9116 18699 9150 18699 9151 18700 9117 18700 9118 18700 9150 18701 9117 18701 9151 18701 9126 18702 9118 18702 9090 18702 9151 18703 9118 18703 9126 18703 9126 18704 9090 18704 9139 18704 9106 18705 9152 18705 9124 18705 9125 18706 9124 18706 9152 18706 9106 18707 9153 18707 9152 18707 9128 18708 9152 18708 9153 18708 9128 18709 9125 18709 9152 18709 9105 18710 9154 18710 9153 18710 9127 18711 9153 18711 9154 18711 9106 18712 9105 18712 9153 18712 9128 18713 9153 18713 9127 18713 9105 18714 9155 18714 9154 18714 9156 18715 9154 18715 9155 18715 9127 18716 9154 18716 9156 18716 9105 18717 9120 18717 9155 18717 9157 18718 9155 18718 9120 18718 9157 18719 9156 18719 9155 18719 9157 18720 9120 18720 9119 18720 9151 18721 9127 18721 9156 18721 9142 18722 9130 18722 9156 18722 9145 18723 9156 18723 9130 18723 9141 18724 9142 18724 9156 18724 9157 18725 9141 18725 9156 18725 9146 18726 9147 18726 9156 18726 9148 18727 9156 18727 9147 18727 9145 18728 9146 18728 9156 18728 9148 18729 9149 18729 9156 18729 9151 18730 9156 18730 9149 18730 9151 18731 9126 18731 9127 18731 9157 18732 9119 18732 9122 18732 9145 18733 9130 18733 9131 18733 9157 18734 9122 18734 9141 18734 9134 18735 9147 18735 9133 18735 9134 18736 9148 18736 9147 18736 9138 18737 9149 18737 9137 18737 9150 18738 9151 18738 9149 18738 9138 18739 9150 18739 9149 18739 9158 18740 9159 18740 9160 18740 9161 18741 9160 18741 9159 18741 9162 18742 9160 18742 9163 18742 9164 18743 9163 18743 9160 18743 9158 18744 9160 18744 9162 18744 9161 18745 9164 18745 9160 18745 9165 18746 9166 18746 9159 18746 9167 18747 9159 18747 9166 18747 9158 18748 9165 18748 9159 18748 9167 18749 9161 18749 9159 18749 9168 18750 9163 18750 9166 18750 9169 18751 9166 18751 9163 18751 9165 18752 9168 18752 9166 18752 9167 18753 9166 18753 9169 18753 9168 18754 9162 18754 9163 18754 9164 18755 9169 18755 9163 18755 9170 18756 9162 18756 9168 18756 9171 18757 9158 18757 9162 18757 9170 18758 9171 18758 9162 18758 9172 18759 9168 18759 9165 18759 9173 18760 9168 18760 9172 18760 9170 18761 9168 18761 9173 18761 9174 18762 9165 18762 9158 18762 9174 18763 9172 18763 9165 18763 9171 18764 9175 18764 9158 18764 9174 18765 9158 18765 9175 18765 9176 18766 9169 18766 9164 18766 9176 18767 9177 18767 9169 18767 9167 18768 9169 18768 9177 18768 9178 18769 9164 18769 9161 18769 9178 18770 9176 18770 9164 18770 9178 18771 9161 18771 9179 18771 9167 18772 9179 18772 9161 18772 9167 18773 9177 18773 9179 18773 9180 18774 9179 18774 9177 18774 9181 18775 9178 18775 9179 18775 9180 18776 9181 18776 9179 18776 9182 18777 9177 18777 9176 18777 9182 18778 9180 18778 9177 18778 9183 18779 9176 18779 9178 18779 9182 18780 9176 18780 9183 18780 9181 18781 9183 18781 9178 18781 9180 18782 9183 18782 9181 18782 9182 18783 9183 18783 9180 18783 9184 18784 9185 18784 9186 18784 9187 18785 9186 18785 9185 18785 9188 18786 9186 18786 9189 18786 9190 18787 9189 18787 9186 18787 9188 18788 9191 18788 9186 18788 9184 18789 9186 18789 9191 18789 9190 18790 9186 18790 9187 18790 9192 18791 9193 18791 9185 18791 9194 18792 9185 18792 9193 18792 9184 18793 9192 18793 9185 18793 9194 18794 9187 18794 9185 18794 9195 18795 9189 18795 9193 18795 9196 18796 9193 18796 9189 18796 9197 18797 9195 18797 9193 18797 9192 18798 9197 18798 9193 18798 9194 18799 9193 18799 9196 18799 9195 18800 9188 18800 9189 18800 9196 18801 9189 18801 9190 18801 9198 18802 9191 18802 9188 18802 9199 18803 9184 18803 9191 18803 9198 18804 9199 18804 9191 18804 9200 18805 9188 18805 9195 18805 9198 18806 9188 18806 9200 18806 9201 18807 9195 18807 9197 18807 9200 18808 9195 18808 9201 18808 9202 18809 9197 18809 9192 18809 9201 18810 9197 18810 9202 18810 9203 18811 9192 18811 9184 18811 9202 18812 9192 18812 9203 18812 9203 18813 9184 18813 9199 18813 9172 18814 9190 18814 9187 18814 9173 18815 9172 18815 9187 18815 9194 18816 9173 18816 9187 18816 9175 18817 9196 18817 9190 18817 9172 18818 9175 18818 9190 18818 9171 18819 9196 18819 9175 18819 9194 18820 9196 18820 9171 18820 9174 18821 9175 18821 9172 18821 9194 18822 9171 18822 9173 18822 9170 18823 9173 18823 9171 18823 9202 18824 9203 18824 9199 18824 9198 18825 9202 18825 9199 18825 9198 18826 9201 18826 9202 18826 9198 18827 9200 18827 9201 18827 9204 18828 9205 18828 9206 18828 9207 18829 9206 18829 9205 18829 9208 18830 9206 18830 9209 18830 9210 18831 9209 18831 9206 18831 9204 18832 9206 18832 9208 18832 9207 18833 9210 18833 9206 18833 9211 18834 9212 18834 9205 18834 9213 18835 9205 18835 9212 18835 9204 18836 9211 18836 9205 18836 9213 18837 9207 18837 9205 18837 9214 18838 9209 18838 9212 18838 9215 18839 9212 18839 9209 18839 9211 18840 9214 18840 9212 18840 9213 18841 9212 18841 9215 18841 9214 18842 9208 18842 9209 18842 9210 18843 9215 18843 9209 18843 9216 18844 9208 18844 9214 18844 9217 18845 9204 18845 9208 18845 9216 18846 9217 18846 9208 18846 9218 18847 9214 18847 9211 18847 9219 18848 9214 18848 9218 18848 9216 18849 9214 18849 9219 18849 9220 18850 9211 18850 9204 18850 9220 18851 9218 18851 9211 18851 9217 18852 9221 18852 9204 18852 9220 18853 9204 18853 9221 18853 9222 18854 9215 18854 9210 18854 9222 18855 9223 18855 9215 18855 9213 18856 9215 18856 9223 18856 9224 18857 9210 18857 9207 18857 9224 18858 9222 18858 9210 18858 9224 18859 9207 18859 9225 18859 9213 18860 9225 18860 9207 18860 9213 18861 9223 18861 9225 18861 9226 18862 9225 18862 9223 18862 9227 18863 9224 18863 9225 18863 9226 18864 9227 18864 9225 18864 9228 18865 9223 18865 9222 18865 9228 18866 9226 18866 9223 18866 9229 18867 9222 18867 9224 18867 9228 18868 9222 18868 9229 18868 9227 18869 9229 18869 9224 18869 9226 18870 9229 18870 9227 18870 9228 18871 9229 18871 9226 18871 9230 18872 9231 18872 9232 18872 9233 18873 9232 18873 9231 18873 9234 18874 9232 18874 9235 18874 9236 18875 9235 18875 9232 18875 9234 18876 9237 18876 9232 18876 9230 18877 9232 18877 9237 18877 9236 18878 9232 18878 9233 18878 9238 18879 9239 18879 9231 18879 9240 18880 9231 18880 9239 18880 9230 18881 9238 18881 9231 18881 9240 18882 9233 18882 9231 18882 9241 18883 9235 18883 9239 18883 9242 18884 9239 18884 9235 18884 9243 18885 9241 18885 9239 18885 9238 18886 9243 18886 9239 18886 9240 18887 9239 18887 9242 18887 9241 18888 9234 18888 9235 18888 9242 18889 9235 18889 9236 18889 9244 18890 9237 18890 9234 18890 9245 18891 9230 18891 9237 18891 9244 18892 9245 18892 9237 18892 9246 18893 9234 18893 9241 18893 9244 18894 9234 18894 9246 18894 9247 18895 9241 18895 9243 18895 9246 18896 9241 18896 9247 18896 9248 18897 9243 18897 9238 18897 9247 18898 9243 18898 9248 18898 9249 18899 9238 18899 9230 18899 9248 18900 9238 18900 9249 18900 9249 18901 9230 18901 9245 18901 9218 18902 9236 18902 9233 18902 9219 18903 9218 18903 9233 18903 9240 18904 9219 18904 9233 18904 9221 18905 9242 18905 9236 18905 9218 18906 9221 18906 9236 18906 9217 18907 9242 18907 9221 18907 9240 18908 9242 18908 9217 18908 9220 18909 9221 18909 9218 18909 9240 18910 9217 18910 9219 18910 9216 18911 9219 18911 9217 18911 9248 18912 9249 18912 9245 18912 9244 18913 9248 18913 9245 18913 9244 18914 9247 18914 9248 18914 9244 18915 9246 18915 9247 18915</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="shoulder_aa" name="shoulder_aa" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#shoulder_aa-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyA/meshes/shoulder_fe.dae b/ct_models/urdf/HyA/meshes/shoulder_fe.dae
new file mode 100644
index 0000000..5ed752e
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/shoulder_fe.dae
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T09:59:03</created>
+ <modified>2015-04-23T09:59:03</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="shoulder_fe-mesh" name="shoulder_fe">
+ <mesh>
+ <source id="shoulder_fe-mesh-positions">
+ <float_array id="shoulder_fe-mesh-positions-array" count="19878">-0.02949988 0.02257084 0.01907086 -0.02949988 0.01310032 0.01777076 -0.02949988 0.01469993 0.01499992 -0.03149998 0.01469993 0.01499992 -0.02949988 0.01310032 0.01222914 -0.03149998 0.0130999 0.0122286 -0.02949988 0.009899616 0.01777076 -0.03149998 0.0130999 0.01777124 -0.02949988 -0.008299946 0.01499992 -0.02949988 0.008299946 0.01499992 -0.03149998 0.009899973 0.01777124 -0.02949988 -0.009899616 0.01777076 -0.02949988 -0.009899616 0.01222914 -0.02949988 0.009899616 0.01222914 -0.03149998 0.008299946 0.01499992 -0.02949988 -0.02549993 0.01199996 -0.03149998 0.009899973 0.0122286 -0.02949988 0.02549993 0.01199996 -0.03149998 -0.008299946 0.01499992 -0.03149998 -0.009899973 0.0122286 -0.02949988 -0.01310032 0.01777076 -0.03149998 -0.009899973 0.01777124 -0.02949988 -0.01469993 0.01499992 -0.03149998 -0.0130999 0.01777124 -0.02949988 -0.02257084 0.01907086 -0.02949988 -0.01310032 0.01222914 -0.03149998 -0.01469993 0.01499992 -0.03149998 -0.0130999 0.0122286 -0.02949988 0.01707082 -0.01457089 -0.02949988 0.01310032 -0.02222913 -0.02949988 0.01469993 -0.02499997 -0.03149998 0.01469993 -0.02499997 -0.02949988 0.02549993 -0.02699995 -0.02949988 0.01310032 -0.02777075 -0.03149998 0.0130999 -0.02777123 -0.02949988 0.01999998 -0.007499933 -0.02949988 0.009899616 -0.02222913 -0.03149998 0.0130999 -0.02222865 -0.02949988 -0.008299946 -0.02499997 -0.02949988 0.008299946 -0.02499997 -0.03149998 0.009899973 -0.02222865 -0.02949988 -0.009899616 -0.02222913 -0.02949988 0.00999999 -0.01749998 -0.02949988 -0.009899616 -0.02777075 -0.02949988 0.009899616 -0.02777075 -0.03149998 0.008299946 -0.02499997 -0.02949988 -0.0249142 -0.02841413 -0.03149998 0.009899973 -0.02777123 -0.02949988 0.0249142 -0.02841413 -0.03149998 -0.008299946 -0.02499997 -0.03149998 -0.009899973 -0.02777123 -0.02949988 -0.01310032 -0.02222913 -0.03149998 -0.009899973 -0.02222865 -0.02949988 -0.02549993 -0.02699995 -0.02949988 -0.01469993 -0.02499997 -0.03149998 -0.0130999 -0.02222865 -0.02949988 -0.00999999 -0.01749998 -0.02949988 -0.01310032 -0.02777075 -0.03149998 -0.01469993 -0.02499997 -0.03149998 -0.0130999 -0.02777123 -0.02949988 -0.01999998 -0.03899997 -0.02949988 -0.01599997 -0.037 -0.02949988 -0.01599997 -0.0349999 -0.037 -0.01599997 -0.037 -0.02949988 -0.01541411 -0.03358572 -0.037 -0.01541411 -0.03358572 -0.037 -0.01599997 -0.0349999 -0.02949988 -0.01541411 -0.03841418 -0.02949988 -0.01399993 -0.03899997 -0.037 -0.01541411 -0.03841418 -0.02949988 -0.01941418 -0.04041421 -0.02949988 0.01399993 -0.03899997 -0.037 -0.01399993 -0.03899997 -0.02949988 0.01999998 -0.03899997 -0.02949988 0.01541411 -0.03841418 -0.037 0.01399993 -0.03899997 -0.02949988 0.01999998 -0.03099989 -0.02949988 0.01599997 -0.037 -0.037 0.01541411 -0.03841418 -0.02949988 0.01599997 -0.0349999 -0.037 0.01599997 -0.0349999 -0.037 0.01599997 -0.037 -0.02949988 0.01541411 -0.03358572 -0.02949988 0.01399993 -0.03299999 -0.037 0.01541411 -0.03358572 -0.02949988 -0.01399993 -0.03299999 -0.037 0.01399993 -0.03299999 -0.02949988 -0.01999998 -0.03099989 -0.037 -0.01399993 -0.03299999 -0.02949988 -0.00999999 0.007499933 -0.02949988 0.00999999 0.007499933 -0.0345 0.00999999 0.007499933 -0.02949988 0.01707082 0.004570901 -0.0345 0.01707082 0.004570901 -0.02949988 -0.01707082 0.004570901 -0.0345 -0.00999999 0.007499933 -0.02949988 -0.01999998 -0.002499938 -0.0345 -0.01707082 0.004570901 -0.02949988 -0.01999998 -0.007499933 -0.0345 -0.01999998 -0.007499933 -0.0345 -0.01999998 -0.002499938 -0.02949988 -0.01707082 -0.01457089 -0.0345 -0.01707082 -0.01457089 -0.0345 -0.00999999 -0.01749998 -0.0345 0.00999999 -0.01749998 -0.0345 0.01707082 -0.01457089 -0.02949988 0.01999998 -0.002499938 -0.0345 0.01999998 -0.002499938 -0.0345 0.01999998 -0.007499933 -0.03749996 -0.02549993 -0.02699995 -0.03749996 -0.0249142 -0.02841413 -0.03749996 -0.02549993 0.01199996 -0.02949988 0.01549988 0.02199995 -0.02949988 -0.01549988 0.02199995 -0.03749996 -0.02257084 0.01907086 -0.03749996 -0.01549988 0.02199995 -0.03749996 0.01549988 0.02199995 -0.03749996 0.02257084 0.01907086 -0.03749996 0.02549993 0.01199996 -0.03749996 0.02549993 -0.02699995 -0.02949988 0.02199995 -0.02899998 -0.02949988 0.02349996 -0.02899998 -0.03749996 0.0249142 -0.02841413 -0.02949988 -0.02199995 -0.02899998 -0.02949988 -0.02349996 -0.02899998 -0.03749996 0.02349996 -0.02899998 -0.02949988 -0.02058577 -0.02958571 -0.02949988 0.02058577 -0.02958571 -0.03749996 0.02199995 -0.02899998 -0.03749996 0.0202679 -0.02999997 -0.03749996 0.0209999 -0.02926784 -0.04565 0.01999998 -0.03899997 -0.03756415 0.02006304 -0.03050172 -0.03776788 0.01999998 -0.03099989 -0.02949988 0.01941418 -0.04041421 -0.02949988 -0.01799988 -0.04099988 -0.02949988 0.01799988 -0.04099988 -0.04564988 0.019414 -0.04041427 -0.04078799 0.01607495 -0.04099988 -0.04264998 0.01714998 -0.04099988 -0.04565 0.01799988 -0.04099988 -0.04565 -0.01799988 -0.04099988 -0.04078799 -0.01392489 -0.04099988 -0.04264998 -0.01284992 -0.04099988 -0.04264998 -0.007149994 -0.04099988 -0.04078799 -0.01607495 -0.04099988 -0.04264998 -0.01714998 -0.04099988 -0.04078799 -0.006074965 -0.04099988 -0.04078799 -0.003924906 -0.04099988 -0.04264998 0.002849996 -0.04099988 -0.04078799 0.003924906 -0.04099988 -0.04078799 0.006074965 -0.04099988 -0.04264998 0.01284992 -0.04099988 -0.04078799 0.01392489 -0.04099988 -0.04564988 -0.0194143 -0.04041409 -0.03776788 -0.01999998 -0.03099989 -0.04565 -0.01999998 -0.032 -0.04565 -0.01999998 -0.03899997 -0.03949993 -0.01999998 -0.032 -0.03849995 -0.01999998 -0.03173202 -0.03749996 -0.0209999 -0.02926784 -0.03749996 -0.0202679 -0.02999997 -0.03756415 -0.02006304 -0.03050172 -0.03749996 -0.02199995 -0.02899998 -0.03749996 -0.02349996 -0.02899998 -0.03749996 0.01634949 0.01220005 -0.03749996 0.01709991 0.01499992 -0.03149998 0.01709991 0.01499992 -0.03749996 0.01634949 0.01779985 -0.03149998 0.01634991 0.01779907 -0.03749996 0.01429992 0.01015025 -0.03149998 0.01634991 0.01220077 -0.03749996 0.0115 0.009400248 -0.03149998 0.01429915 0.01015007 -0.03749996 -0.008699953 0.01015025 -0.03749996 0.008699953 0.01015025 -0.03149998 0.0115 0.00939995 -0.03749996 -0.0115 0.009400248 -0.03749996 -0.006650388 0.01220005 -0.03749996 0.006650388 0.01220005 -0.03149998 0.008700788 0.01015007 -0.03749996 -0.005899906 0.01499992 -0.03749996 0.005899906 0.01499992 -0.03149998 0.00665009 0.01220077 -0.03749996 -0.006650388 0.01779985 -0.03749996 0.006650388 0.01779985 -0.03149998 0.005899906 0.01499992 -0.03749996 -0.008699953 0.01984965 -0.03749996 0.008699953 0.01984965 -0.03149998 0.00665009 0.01779907 -0.03749996 -0.0115 0.02059972 -0.03749996 0.0115 0.02059972 -0.03149998 0.008700788 0.01984989 -0.03749996 0.01429992 0.01984965 -0.03149998 0.0115 0.02059996 -0.03149998 0.01429915 0.01984989 -0.03149998 -0.005899906 0.01499992 -0.03149998 -0.00665009 0.01779907 -0.03149998 -0.00665009 0.01220077 -0.03149998 -0.008700788 0.01015007 -0.03749996 -0.01429992 0.01015025 -0.03149998 -0.0115 0.00939995 -0.03749996 0.01429992 -0.02015024 -0.03749996 0.0115 -0.01940017 -0.03749996 -0.01634949 0.01220005 -0.03149998 -0.01429915 0.01015007 -0.03749996 -0.01709991 0.01499992 -0.03149998 -0.01634991 0.01220077 -0.03749996 -0.01634949 0.01779985 -0.03149998 -0.01709991 0.01499992 -0.03749996 -0.01429992 0.01984965 -0.03149998 -0.01634991 0.01779907 -0.03149998 -0.01429915 0.01984989 -0.03149998 -0.0115 0.02059996 -0.03149998 -0.008700788 0.01984989 -0.03749996 -0.01402187 -0.02999997 -0.03759211 -0.0115 -0.03060001 -0.03749996 -0.01626825 -0.02793645 -0.03149998 -0.01429915 -0.02984982 -0.03149998 -0.0115 -0.03059995 -0.03749996 -0.01709991 -0.02499997 -0.03149998 -0.01634991 -0.02779912 -0.03749996 -0.01634949 -0.02220004 -0.03149998 -0.01709991 -0.02499997 -0.03749996 -0.01429992 -0.02015024 -0.03149998 -0.01634991 -0.02220076 -0.03749996 -0.0115 -0.01940017 -0.03149998 -0.01429915 -0.02015006 -0.03749996 0.008699953 -0.02015024 -0.03749996 -0.008699953 -0.02015024 -0.03149998 -0.0115 -0.0194 -0.03749996 0.006650388 -0.02220004 -0.03749996 -0.006650388 -0.02220004 -0.03149998 -0.008700788 -0.02015006 -0.03749996 0.005899906 -0.02499997 -0.03749996 -0.005899906 -0.02499997 -0.03149998 -0.00665009 -0.02220076 -0.03749996 0.006731629 -0.02793645 -0.03749996 -0.006731629 -0.02793645 -0.03149998 -0.005899906 -0.02499997 -0.03749996 0.008978068 -0.02999997 -0.03749996 -0.008978068 -0.02999997 -0.03149998 -0.008700788 -0.02984982 -0.03149998 -0.00665009 -0.02779912 -0.03759211 0.0115 -0.03060001 -0.03149998 0.008700788 -0.02984982 -0.03149998 0.0115 -0.03059995 -0.03149998 0.00665009 -0.02779912 -0.03149998 0.005899906 -0.02499997 -0.03149998 0.00665009 -0.02220076 -0.03149998 0.008700788 -0.02015006 -0.03149998 0.0115 -0.0194 -0.03749996 0.01634949 -0.02220004 -0.03149998 0.01429915 -0.02015006 -0.03749996 0.01709991 -0.02499997 -0.03149998 0.01634991 -0.02220076 -0.03749996 0.01626825 -0.02793645 -0.03149998 0.01709991 -0.02499997 -0.03749996 0.01402187 -0.02999997 -0.03149998 0.01429915 -0.02984982 -0.03149998 0.01634991 -0.02779912 -0.04264998 -0.01284992 -0.032 -0.04451191 -0.006074965 -0.04099988 -0.04451191 -0.01392489 -0.04099988 -0.04451191 -0.01392489 -0.032 -0.04078799 -0.01392489 -0.032 -0.04078799 -0.01607495 -0.032 -0.04451191 -0.01607495 -0.04099988 -0.04264998 -0.01714998 -0.032 -0.04451191 -0.01607495 -0.032 -0.04264998 -0.002849996 -0.04099988 -0.04264998 -0.002849996 -0.032 -0.04451191 0.003924906 -0.04099988 -0.04451191 -0.003924906 -0.04099988 -0.04451191 -0.003924906 -0.032 -0.04078799 -0.003924906 -0.032 -0.04078799 -0.006074965 -0.032 -0.04264998 -0.007149994 -0.032 -0.04451191 -0.006074965 -0.032 -0.04264998 0.002849996 -0.032 -0.04078799 0.003924906 -0.032 -0.04451191 0.006074965 -0.04099988 -0.04451191 0.003924906 -0.032 -0.04264998 0.007149994 -0.04099988 -0.04451191 0.006074965 -0.032 -0.04264998 0.007149994 -0.032 -0.04451191 0.01392489 -0.04099988 -0.04078799 0.006074965 -0.032 -0.04264998 0.01284992 -0.032 -0.04078799 0.01392489 -0.032 -0.04451191 0.01607495 -0.04099988 -0.04451191 0.01392489 -0.032 -0.04451191 0.01607495 -0.032 -0.04264998 0.01714998 -0.032 -0.04078799 0.01607495 -0.032 -0.04659831 -0.01796239 -0.04081308 -0.04659831 0.01796263 -0.04081302 -0.04710131 -0.01888918 -0.04021483 -0.04741764 -0.01926755 -0.032 -0.04659831 -0.01981312 -0.03896266 -0.03949993 0.01999998 -0.032 -0.03849995 0.01999998 -0.03173202 -0.04565 0.01999998 -0.032 -0.04659831 0.01981312 -0.03896242 -0.04741764 0.01926755 -0.032 -0.04740947 0.01927596 -0.03885483 -0.04710131 0.01921486 -0.03988915 -0.04815 0.01749998 -0.032 -0.04815 0.01749998 -0.03849995 -0.04815 -0.01749998 -0.03849995 -0.04795908 0.01769185 -0.03945785 -0.04815 -0.01749998 -0.032 -0.04795908 -0.01845788 -0.03869175 -0.04795908 -0.01769185 -0.03945785 -0.04795908 0.01845788 -0.03869175 -0.04774117 0.01886993 -0.03877395 -0.04740953 -0.01927596 -0.03885519 -0.04774117 -0.01777398 -0.03986996 -0.04740953 0.0178551 -0.04027593 -0.04740947 -0.01785486 -0.04027599 0.02949988 -0.02257084 0.01907086 0.02949988 -0.01310032 0.01777076 0.02949988 -0.01469993 0.01499992 0.03149998 -0.01469993 0.01499992 0.02949988 -0.01310032 0.01222914 0.03149998 -0.0130999 0.0122286 0.02949988 -0.009899616 0.01777076 0.03149998 -0.0130999 0.01777124 0.02949988 0.008299946 0.01499992 0.02949988 -0.008299946 0.01499992 0.03149998 -0.009899973 0.01777124 0.02949988 0.009899616 0.01777076 0.02949988 0.009899616 0.01222914 0.02949988 -0.009899616 0.01222914 0.03149998 -0.008299946 0.01499992 0.02949988 0.02549993 0.01199996 0.03149998 -0.009899973 0.0122286 0.02949988 -0.02549993 0.01199996 0.03149998 0.008299946 0.01499992 0.03149998 0.009899973 0.0122286 0.02949988 0.01310032 0.01777076 0.03149998 0.009899973 0.01777124 0.02949988 0.01469993 0.01499992 0.03149998 0.0130999 0.01777124 0.02949988 0.02257084 0.01907086 0.02949988 0.01310032 0.01222914 0.03149998 0.01469993 0.01499992 0.03149998 0.0130999 0.0122286 0.02949988 -0.01707082 -0.01457089 0.02949988 -0.01310032 -0.02222913 0.02949988 -0.01469993 -0.02499997 0.03149998 -0.01469993 -0.02499997 0.02949988 -0.02549993 -0.02699995 0.02949988 -0.01310032 -0.02777075 0.03149998 -0.0130999 -0.02777123 0.02949988 -0.01999998 -0.007499933 0.02949988 -0.009899616 -0.02222913 0.03149998 -0.0130999 -0.02222865 0.02949988 0.008299946 -0.02499997 0.02949988 -0.008299946 -0.02499997 0.03149998 -0.009899973 -0.02222865 0.02949988 0.009899616 -0.02222913 0.02949988 -0.00999999 -0.01749998 0.02949988 0.009899616 -0.02777075 0.02949988 -0.009899616 -0.02777075 0.03149998 -0.008299946 -0.02499997 0.02949988 0.0249142 -0.02841413 0.03149998 -0.009899973 -0.02777123 0.02949988 -0.0249142 -0.02841413 0.03149998 0.008299946 -0.02499997 0.03149998 0.009899973 -0.02777123 0.02949988 0.01310032 -0.02222913 0.03149998 0.009899973 -0.02222865 0.02949988 0.02549993 -0.02699995 0.02949988 0.01469993 -0.02499997 0.03149998 0.0130999 -0.02222865 0.02949988 0.00999999 -0.01749998 0.02949988 0.01310032 -0.02777075 0.03149998 0.01469993 -0.02499997 0.03149998 0.0130999 -0.02777123 0.02949988 0.01999998 -0.03899997 0.02949988 0.01599997 -0.037 0.02949988 0.01599997 -0.0349999 0.037 0.01599997 -0.037 0.02949988 0.01541411 -0.03358572 0.037 0.01541411 -0.03358572 0.037 0.01599997 -0.0349999 0.02949988 0.01541411 -0.03841418 0.02949988 0.01399993 -0.03899997 0.037 0.01541411 -0.03841418 0.02949988 0.01941418 -0.04041421 0.02949988 -0.01399993 -0.03899997 0.037 0.01399993 -0.03899997 0.02949988 -0.01999998 -0.03899997 0.02949988 -0.01541411 -0.03841418 0.037 -0.01399993 -0.03899997 0.02949988 -0.01999998 -0.03099989 0.02949988 -0.01599997 -0.037 0.037 -0.01541411 -0.03841418 0.02949988 -0.01599997 -0.0349999 0.037 -0.01599997 -0.0349999 0.037 -0.01599997 -0.037 0.02949988 -0.01541411 -0.03358572 0.02949988 -0.01399993 -0.03299999 0.037 -0.01541411 -0.03358572 0.02949988 0.01399993 -0.03299999 0.037 -0.01399993 -0.03299999 0.02949988 0.01999998 -0.03099989 0.037 0.01399993 -0.03299999 0.02949988 0.00999999 0.007499933 0.02949988 -0.00999999 0.007499933 0.0345 -0.00999999 0.007499933 0.02949988 -0.01707082 0.004570901 0.0345 -0.01707082 0.004570901 0.02949988 0.01707082 0.004570901 0.0345 0.00999999 0.007499933 0.02949988 0.01999998 -0.002499938 0.0345 0.01707082 0.004570901 0.02949988 0.01999998 -0.007499933 0.0345 0.01999998 -0.007499933 0.0345 0.01999998 -0.002499938 0.02949988 0.01707082 -0.01457089 0.0345 0.01707082 -0.01457089 0.0345 0.00999999 -0.01749998 0.0345 -0.00999999 -0.01749998 0.0345 -0.01707082 -0.01457089 0.02949988 -0.01999998 -0.002499938 0.0345 -0.01999998 -0.002499938 0.0345 -0.01999998 -0.007499933 0.03749996 0.02549993 -0.02699995 0.03749996 0.0249142 -0.02841413 0.03749996 0.02549993 0.01199996 0.02949988 -0.01549988 0.02199995 0.02949988 0.01549988 0.02199995 0.03749996 0.02257084 0.01907086 0.03749996 0.01549988 0.02199995 0.03749996 -0.01549988 0.02199995 0.03749996 -0.02257084 0.01907086 0.03749996 -0.02549993 0.01199996 0.03749996 -0.02549993 -0.02699995 0.02949988 -0.02199995 -0.02899998 0.02949988 -0.02349996 -0.02899998 0.03749996 -0.0249142 -0.02841413 0.02949988 0.02199995 -0.02899998 0.02949988 0.02349996 -0.02899998 0.03749996 -0.02349996 -0.02899998 0.02949988 0.02058577 -0.02958571 0.02949988 -0.02058577 -0.02958571 0.03749996 -0.02199995 -0.02899998 0.03749996 -0.0202679 -0.02999997 0.03749996 -0.0209999 -0.02926784 0.04565 -0.01999998 -0.03899997 0.03756415 -0.02006304 -0.03050172 0.03776788 -0.01999998 -0.03099989 0.02949988 -0.01941418 -0.04041421 0.02949988 0.01799988 -0.04099988 0.02949988 -0.01799988 -0.04099988 0.04564988 -0.019414 -0.04041427 0.04078799 -0.01607495 -0.04099988 0.04264998 -0.01714998 -0.04099988 0.04565 -0.01799988 -0.04099988 0.04565 0.01799988 -0.04099988 0.04078799 0.01392489 -0.04099988 0.04264998 0.01284992 -0.04099988 0.04264998 0.007149994 -0.04099988 0.04078799 0.01607495 -0.04099988 0.04264998 0.01714998 -0.04099988 0.04078799 0.006074965 -0.04099988 0.04078799 0.003924906 -0.04099988 0.04264998 -0.002849996 -0.04099988 0.04078799 -0.003924906 -0.04099988 0.04078799 -0.006074965 -0.04099988 0.04264998 -0.01284992 -0.04099988 0.04078799 -0.01392489 -0.04099988 0.04564988 0.0194143 -0.04041409 0.03776788 0.01999998 -0.03099989 0.04565 0.01999998 -0.032 0.04565 0.01999998 -0.03899997 0.03949993 0.01999998 -0.032 0.03849995 0.01999998 -0.03173202 0.03749996 0.0209999 -0.02926784 0.03749996 0.0202679 -0.02999997 0.03756415 0.02006304 -0.03050172 0.03749996 0.02199995 -0.02899998 0.03749996 0.02349996 -0.02899998 0.03749996 -0.01634949 0.01220005 0.03749996 -0.01709991 0.01499992 0.03149998 -0.01709991 0.01499992 0.03749996 -0.01634949 0.01779985 0.03149998 -0.01634991 0.01779907 0.03749996 -0.01429992 0.01015025 0.03149998 -0.01634991 0.01220077 0.03749996 -0.0115 0.009400248 0.03149998 -0.01429915 0.01015007 0.03749996 0.008699953 0.01015025 0.03749996 -0.008699953 0.01015025 0.03149998 -0.0115 0.00939995 0.03749996 0.0115 0.009400248 0.03749996 0.006650388 0.01220005 0.03749996 -0.006650388 0.01220005 0.03149998 -0.008700788 0.01015007 0.03749996 0.005899906 0.01499992 0.03749996 -0.005899906 0.01499992 0.03149998 -0.00665009 0.01220077 0.03749996 0.006650388 0.01779985 0.03749996 -0.006650388 0.01779985 0.03149998 -0.005899906 0.01499992 0.03749996 0.008699953 0.01984965 0.03749996 -0.008699953 0.01984965 0.03149998 -0.00665009 0.01779907 0.03749996 0.0115 0.02059972 0.03749996 -0.0115 0.02059972 0.03149998 -0.008700788 0.01984989 0.03749996 -0.01429992 0.01984965 0.03149998 -0.0115 0.02059996 0.03149998 -0.01429915 0.01984989 0.03149998 0.005899906 0.01499992 0.03149998 0.00665009 0.01779907 0.03149998 0.00665009 0.01220077 0.03149998 0.008700788 0.01015007 0.03749996 0.01429992 0.01015025 0.03149998 0.0115 0.00939995 0.03749996 -0.01429992 -0.02015024 0.03749996 -0.0115 -0.01940017 0.03749996 0.01634949 0.01220005 0.03149998 0.01429915 0.01015007 0.03749996 0.01709991 0.01499992 0.03149998 0.01634991 0.01220077 0.03749996 0.01634949 0.01779985 0.03149998 0.01709991 0.01499992 0.03749996 0.01429992 0.01984965 0.03149998 0.01634991 0.01779907 0.03149998 0.01429915 0.01984989 0.03149998 0.0115 0.02059996 0.03149998 0.008700788 0.01984989 0.03749996 0.01402187 -0.02999997 0.03759211 0.0115 -0.03060001 0.03749996 0.01626825 -0.02793645 0.03149998 0.01429915 -0.02984982 0.03149998 0.0115 -0.03059995 0.03749996 0.01709991 -0.02499997 0.03149998 0.01634991 -0.02779912 0.03749996 0.01634949 -0.02220004 0.03149998 0.01709991 -0.02499997 0.03749996 0.01429992 -0.02015024 0.03149998 0.01634991 -0.02220076 0.03749996 0.0115 -0.01940017 0.03149998 0.01429915 -0.02015006 0.03749996 -0.008699953 -0.02015024 0.03749996 0.008699953 -0.02015024 0.03149998 0.0115 -0.0194 0.03749996 -0.006650388 -0.02220004 0.03749996 0.006650388 -0.02220004 0.03149998 0.008700788 -0.02015006 0.03749996 -0.005899906 -0.02499997 0.03749996 0.005899906 -0.02499997 0.03149998 0.00665009 -0.02220076 0.03749996 -0.006731629 -0.02793645 0.03749996 0.006731629 -0.02793645 0.03149998 0.005899906 -0.02499997 0.03749996 -0.008978068 -0.02999997 0.03749996 0.008978068 -0.02999997 0.03149998 0.008700788 -0.02984982 0.03149998 0.00665009 -0.02779912 0.03759211 -0.0115 -0.03060001 0.03149998 -0.008700788 -0.02984982 0.03149998 -0.0115 -0.03059995 0.03149998 -0.00665009 -0.02779912 0.03149998 -0.005899906 -0.02499997 0.03149998 -0.00665009 -0.02220076 0.03149998 -0.008700788 -0.02015006 0.03149998 -0.0115 -0.0194 0.03749996 -0.01634949 -0.02220004 0.03149998 -0.01429915 -0.02015006 0.03749996 -0.01709991 -0.02499997 0.03149998 -0.01634991 -0.02220076 0.03749996 -0.01626825 -0.02793645 0.03149998 -0.01709991 -0.02499997 0.03749996 -0.01402187 -0.02999997 0.03149998 -0.01429915 -0.02984982 0.03149998 -0.01634991 -0.02779912 0.04264998 0.01284992 -0.032 0.04451191 0.006074965 -0.04099988 0.04451191 0.01392489 -0.04099988 0.04451191 0.01392489 -0.032 0.04078799 0.01392489 -0.032 0.04078799 0.01607495 -0.032 0.04451191 0.01607495 -0.04099988 0.04264998 0.01714998 -0.032 0.04451191 0.01607495 -0.032 0.04264998 0.002849996 -0.04099988 0.04264998 0.002849996 -0.032 0.04451191 -0.003924906 -0.04099988 0.04451191 0.003924906 -0.04099988 0.04451191 0.003924906 -0.032 0.04078799 0.003924906 -0.032 0.04078799 0.006074965 -0.032 0.04264998 0.007149994 -0.032 0.04451191 0.006074965 -0.032 0.04264998 -0.002849996 -0.032 0.04078799 -0.003924906 -0.032 0.04451191 -0.006074965 -0.04099988 0.04451191 -0.003924906 -0.032 0.04264998 -0.007149994 -0.04099988 0.04451191 -0.006074965 -0.032 0.04264998 -0.007149994 -0.032 0.04451191 -0.01392489 -0.04099988 0.04078799 -0.006074965 -0.032 0.04264998 -0.01284992 -0.032 0.04078799 -0.01392489 -0.032 0.04451191 -0.01607495 -0.04099988 0.04451191 -0.01392489 -0.032 0.04451191 -0.01607495 -0.032 0.04264998 -0.01714998 -0.032 0.04078799 -0.01607495 -0.032 0.04659831 0.01796239 -0.04081308 0.04659831 -0.01796263 -0.04081302 0.04710131 0.01888918 -0.04021483 0.04741764 0.01926755 -0.032 0.04659831 0.01981312 -0.03896266 0.03949993 -0.01999998 -0.032 0.03849995 -0.01999998 -0.03173202 0.04565 -0.01999998 -0.032 0.04659831 -0.01981312 -0.03896242 0.04741764 -0.01926755 -0.032 0.04740947 -0.01927596 -0.03885483 0.04710131 -0.01921486 -0.03988915 0.04815 -0.01749998 -0.032 0.04815 -0.01749998 -0.03849995 0.04815 0.01749998 -0.03849995 0.04795908 -0.01769185 -0.03945785 0.04815 0.01749998 -0.032 0.04795908 0.01845788 -0.03869175 0.04795908 0.01769185 -0.03945785 0.04795908 -0.01845788 -0.03869175 0.04774117 -0.01886993 -0.03877395 0.04740953 0.01927596 -0.03885519 0.04774117 0.01777398 -0.03986996 0.04740953 -0.0178551 -0.04027593 0.04740947 0.01785486 -0.04027599 -0.05339998 -0.008510291 -0.08979368 -0.05339998 -0.01337128 -0.08883446 -0.05339998 4.3863e-6 -0.08524996 -0.04939997 4.3863e-6 -0.08524996 -0.05339998 0.003164589 -0.0904808 -0.05339998 0.01338011 -0.08883446 -0.04939997 0.01338016 -0.0888344 -0.05339998 -0.00708127 -0.09061866 -0.05339998 -0.00708127 -0.09226864 -0.05339998 -0.004691243 -0.09164381 -0.05339998 -0.004072785 -0.09086531 -0.05339998 -0.003155827 -0.0904808 -0.05339998 4.20691e-6 -0.09025013 -0.05339998 -0.02171862 -0.1023185 -0.05339998 -0.02316111 -0.09862422 -0.04939997 -0.0133714 -0.0888344 -0.05339998 -0.009939253 -0.09061866 -0.05339998 -0.01234477 -0.09715074 -0.05339998 -0.02012485 -0.1018915 -0.05339998 -0.01734483 -0.09715074 -0.05339998 -0.01609516 -0.09498602 -0.05339998 -0.01359444 -0.09498602 -0.05339998 -0.02316111 -0.1253757 -0.05339998 -0.02674555 -0.112 -0.04939997 -0.023162 -0.09862577 -0.05339998 -0.02214562 -0.1039123 -0.04939997 -0.02674531 -0.112 -0.05339998 -0.01484483 -0.1293492 -0.05339998 -0.01337128 -0.1351655 -0.04939997 -0.023162 -0.1253741 -0.05339998 -0.02220189 -0.1205147 -0.05339998 -0.02137684 -0.1219436 -0.05339998 -0.01972693 -0.1219436 -0.05339998 -0.01700955 -0.1255989 -0.05339998 -0.01700955 -0.1280995 -0.05339998 -0.003155827 -0.1335192 -0.05339998 4.3863e-6 -0.13875 -0.04939997 -0.0133714 -0.1351656 -0.05339998 -0.009676992 -0.133723 -0.05339998 -0.008083224 -0.1341501 -0.05339998 -0.01010406 -0.1321293 -0.05339998 -0.01107519 -0.1230797 -0.05339998 -0.01268011 -0.1280995 -0.05339998 0.008519053 -0.1342062 -0.05339998 0.01338011 -0.1351655 -0.04939997 4.3863e-6 -0.13875 -0.05339998 0.007090151 -0.1333813 -0.05339998 0.007090151 -0.1317313 -0.05339998 0.004700064 -0.1323561 -0.05339998 0.004081547 -0.1331347 -0.05339998 0.003164589 -0.1335192 -0.05339998 4.5657e-6 -0.1337498 -0.05339998 0.02172738 -0.1216814 -0.05339998 0.02316987 -0.1253757 -0.04939997 0.01338016 -0.1351656 -0.05339998 0.009948015 -0.1333813 -0.05339998 0.01235353 -0.1268492 -0.05339998 0.02013361 -0.1221085 -0.05339998 0.01735359 -0.1268492 -0.05339998 0.01610392 -0.1290138 -0.05339998 0.01360327 -0.1290138 -0.05339998 0.02316987 -0.09862422 -0.05339998 0.02675431 -0.112 -0.04939997 0.02317076 -0.1253741 -0.05339998 0.02215445 -0.1200876 -0.04939997 0.02675414 -0.112 -0.05339998 0.01485353 -0.09465074 -0.04939997 0.02317076 -0.09862577 -0.05339998 0.02221059 -0.1034853 -0.05339998 0.02138561 -0.1020563 -0.05339998 0.01973569 -0.1020563 -0.05339998 0.01701825 -0.09840101 -0.05339998 0.01701825 -0.09590041 -0.05339998 0.009685814 -0.09027695 -0.05339998 0.008091986 -0.08984988 -0.05339998 0.01011282 -0.09187072 -0.05339998 0.01108402 -0.1009203 -0.05339998 0.01268881 -0.09590041 -0.05339998 -0.01107519 -0.1009203 -0.05339998 -0.009939253 -0.09226864 -0.05339998 -0.008510291 -0.09309363 -0.03689998 -0.008510291 -0.09309363 -0.03689998 -0.00708127 -0.09226864 -0.03689998 -0.009939253 -0.09226864 -0.03689998 -0.009939253 -0.09061866 -0.03689998 -0.008510291 -0.08979368 -0.03689998 -0.00708127 -0.09061866 -0.05339998 -0.02035164 -0.1073043 -0.05339998 -0.02097892 -0.1050791 -0.05339998 -0.01938509 -0.104652 -0.03689998 -0.01938509 -0.104652 -0.05339998 -0.01895815 -0.1030582 -0.03689998 -0.01895815 -0.1030582 -0.05339998 -0.01609516 -0.09931546 -0.05339998 -0.02151477 -0.1088398 -0.03689998 -0.02097892 -0.1050791 -0.05339998 -0.02113026 -0.1079228 -0.03689998 -0.02214562 -0.1039123 -0.05339998 -0.02174544 -0.1120002 -0.03689998 -0.02171862 -0.1023185 -0.03689998 -0.02012485 -0.1018915 -0.05339998 -0.01890188 -0.1205147 -0.03689998 -0.01890188 -0.1205147 -0.05339998 -0.01972693 -0.1190857 -0.03689998 -0.01972693 -0.1190857 -0.05339998 -0.01484483 -0.1243492 -0.03689998 -0.01972693 -0.1219436 -0.03689998 -0.02137684 -0.1219436 -0.05339998 -0.02151477 -0.1151602 -0.05339998 -0.02137684 -0.1190857 -0.03689998 -0.02220189 -0.1205147 -0.05339998 -0.02035164 -0.1166957 -0.03689998 -0.02137684 -0.1190857 -0.05339998 -0.02113026 -0.1160772 -0.05339998 -0.004691243 -0.1323561 -0.05339998 -0.006916463 -0.1329833 -0.05339998 -0.00734359 -0.1313896 -0.03689998 -0.00734359 -0.1313896 -0.05339998 -0.008937358 -0.1309625 -0.03689998 -0.008937358 -0.1309625 -0.03689998 -0.006916463 -0.1329833 -0.03689998 -0.008083224 -0.1341501 -0.05339998 -0.004072785 -0.1331347 -0.03689998 -0.009676992 -0.133723 -0.03689998 -0.01010406 -0.1321293 -0.05339998 0.01108402 -0.1230797 -0.05339998 0.009948015 -0.1317313 -0.05339998 0.008519053 -0.1309063 -0.03689998 0.008519053 -0.1309063 -0.03689998 0.007090151 -0.1317313 -0.03689998 0.009948015 -0.1317313 -0.03689998 0.009948015 -0.1333813 -0.03689998 0.008519053 -0.1342062 -0.03689998 0.007090151 -0.1333813 -0.05339998 0.02036046 -0.1166957 -0.05339998 0.02098768 -0.1189209 -0.05339998 0.01939398 -0.1193479 -0.03689998 0.01939398 -0.1193479 -0.05339998 0.01896691 -0.1209416 -0.03689998 0.01896691 -0.1209416 -0.05339998 0.01610392 -0.1246845 -0.05339998 0.02152353 -0.1151602 -0.03689998 0.02098768 -0.1189209 -0.05339998 0.02113908 -0.1160772 -0.03689998 0.02215445 -0.1200876 -0.05339998 0.0217542 -0.1119998 -0.03689998 0.02172738 -0.1216814 -0.03689998 0.02013361 -0.1221085 -0.05339998 0.0189107 -0.1034853 -0.03689998 0.0189107 -0.1034853 -0.05339998 0.01973569 -0.1049142 -0.03689998 0.01973569 -0.1049142 -0.05339998 0.01485353 -0.09965074 -0.03689998 0.01973569 -0.1020563 -0.03689998 0.02138561 -0.1020563 -0.05339998 0.02152353 -0.1088398 -0.05339998 0.02138561 -0.1049142 -0.03689998 0.02221059 -0.1034853 -0.05339998 0.02036046 -0.1073043 -0.03689998 0.02138561 -0.1049142 -0.05339998 0.02113908 -0.1079228 -0.05339998 0.004700064 -0.09164381 -0.05339998 0.006925225 -0.09101659 -0.05339998 0.007352352 -0.09261035 -0.03689998 0.007352352 -0.09261035 -0.05339998 0.00894612 -0.09303742 -0.03689998 0.00894612 -0.09303742 -0.03689998 0.006925225 -0.09101659 -0.03689998 0.008091986 -0.08984988 -0.05339998 0.004081547 -0.09086531 -0.03689998 0.009685814 -0.09027695 -0.03689998 0.01011282 -0.09187072 -0.0428999 -0.01734483 -0.09715074 -0.0428999 -0.0160948 -0.09931582 -0.0428999 -0.0160948 -0.09498566 -0.0428999 -0.01359474 -0.09498566 -0.05339998 -0.01359444 -0.09931546 -0.0428999 -0.01234477 -0.09715074 -0.0428999 -0.01359474 -0.09931582 -0.0428999 -0.01484483 -0.1293492 -0.0428999 -0.01267969 -0.1280992 -0.0428999 -0.01700991 -0.1280992 -0.0428999 -0.01700991 -0.1255992 -0.05339998 -0.01268011 -0.1255989 -0.0428999 -0.01484483 -0.1243492 -0.0428999 -0.01267969 -0.1255992 -0.0428999 0.01735359 -0.1268492 -0.0428999 0.01610362 -0.1246842 -0.0428999 0.01610362 -0.1290143 -0.0428999 0.01360356 -0.1290143 -0.05339998 0.01360327 -0.1246845 -0.0428999 0.01235353 -0.1268492 -0.0428999 0.01360356 -0.1246842 -0.0428999 0.01485353 -0.09465074 -0.0428999 0.01268845 -0.09590071 -0.0428999 0.01701867 -0.09590071 -0.0428999 0.01701867 -0.09840071 -0.05339998 0.01268881 -0.09840101 -0.0428999 0.01485353 -0.09965074 -0.0428999 0.01268845 -0.09840071 -0.04839998 0.02036046 -0.1166957 -0.04839998 0.02091598 -0.1163254 -0.03689998 0.0110839 -0.1230798 -0.03689998 0.02052438 -0.1166231 -0.04839998 0.004700064 -0.1323561 -0.04839998 0.003798067 -0.1333141 -0.04839998 0.004329741 -0.1329116 -0.04839998 0.003164589 -0.1335192 -0.04839998 0.00349158 -0.1334426 -0.04839998 4.5657e-6 -0.1337498 -0.04839998 -0.003155827 -0.1335192 -0.04839998 -0.004320979 -0.1329116 -0.04839998 -0.003482758 -0.1334426 -0.04839998 -0.003789246 -0.1333141 -0.04839998 -0.004691243 -0.1323561 -0.03689998 -0.01107507 -0.1230798 -0.04839998 -0.02035164 -0.1166957 -0.04839998 -0.02130973 -0.1157937 -0.04839998 -0.02090722 -0.1163254 -0.04839998 -0.02151477 -0.1151602 -0.04839998 -0.02143824 -0.1154872 -0.04839998 -0.02174544 -0.1120002 -0.04839998 -0.02151477 -0.1088398 -0.04839998 -0.02090722 -0.1076745 -0.04839998 -0.02143824 -0.1085128 -0.04839998 -0.02130973 -0.1082063 -0.04839998 -0.02035164 -0.1073043 -0.03689998 -0.01107507 -0.1009202 -0.03689998 -0.02051562 -0.1073769 -0.04839998 -0.004691243 -0.09164381 -0.04839998 -0.003789246 -0.09068584 -0.04839998 -0.004320979 -0.09108835 -0.04839998 -0.003155827 -0.0904808 -0.04839998 -0.003482758 -0.09055733 -0.04839998 4.20691e-6 -0.09025013 -0.04839998 0.003164589 -0.0904808 -0.04839998 0.004329741 -0.09108835 -0.04839998 0.00349158 -0.09055733 -0.04839998 0.003798067 -0.09068584 -0.04839998 0.004700064 -0.09164381 -0.03689998 0.01108413 -0.1009204 -0.03689998 0.004627406 -0.09147995 -0.04839998 0.02036046 -0.1073043 -0.04839998 0.02131849 -0.1082063 -0.04839998 0.02091598 -0.1076745 -0.04839998 0.02152353 -0.1088398 -0.04839998 0.021447 -0.1085128 -0.04839998 0.0217542 -0.1119998 -0.04839998 0.02152353 -0.1151602 -0.04839998 0.021447 -0.1154872 -0.04839998 0.02131849 -0.1157937 -0.03689998 -0.003605604 -0.1032126 -0.03689998 -0.004325628 -0.1095 -0.03689998 4.3863e-6 -0.107 -0.04839998 4.3863e-6 -0.107 -0.03689998 0.001754343 -0.1004377 -0.03689998 0.004334509 -0.1095 -0.04839998 0.004334807 -0.1095005 -0.03689998 4.3863e-6 -0.08699995 -0.03689998 -0.001745522 -0.09208387 -0.03689998 -0.002253711 -0.1021078 -0.03689998 -0.001745522 -0.1004377 -0.03689998 -0.006712913 -0.1052825 -0.03689998 -0.004325628 -0.1145 -0.04839998 -0.004326045 -0.1095005 -0.03689998 -0.001745522 -0.1235623 -0.03689998 4.3863e-6 -0.117 -0.04839998 -0.004324913 -0.1145014 -0.03689998 -0.003605604 -0.1207873 -0.03689998 -0.002253711 -0.1218921 -0.03689998 0.003614366 -0.1207873 -0.03689998 0.004334509 -0.1145 -0.04839998 4.3863e-6 -0.117 -0.03689998 0.001754343 -0.1319161 -0.03689998 4.3863e-6 -0.137 -0.03689998 0.002262473 -0.1218921 -0.03689998 0.001754343 -0.1235623 -0.03689998 0.006721794 -0.1187173 -0.04839998 0.004333615 -0.1145014 -0.03689998 0.003614366 -0.1032126 -0.03689998 0.002262473 -0.1021078 -0.03689998 -0.01249641 -0.1336501 -0.04939997 4.3863e-6 -0.137 -0.03689998 0.01250517 -0.1336501 -0.04939997 0.01250505 -0.13365 -0.03689998 -0.004618585 -0.13252 -0.03689998 0.00294584 -0.1333838 -0.03689998 -0.002937138 -0.1333838 -0.03689998 -0.001745522 -0.1319161 -0.03689998 -0.02164644 -0.1244992 -0.04939997 -0.01249629 -0.13365 -0.03689998 -0.02051562 -0.1166231 -0.03689998 -0.02499532 -0.112 -0.04939997 -0.0216456 -0.1245006 -0.03689998 -0.02164644 -0.09950071 -0.04939997 -0.02499556 -0.112 -0.03689998 -0.01249641 -0.09034991 -0.04939997 -0.0216456 -0.09949928 -0.04939997 -0.01249629 -0.09034997 -0.03689998 0.01250517 -0.09034991 -0.04939997 4.3863e-6 -0.08699995 -0.03689998 -0.002937138 -0.09061622 -0.03689998 0.00294584 -0.09061622 -0.03689998 0.001754343 -0.09208387 -0.03689998 0.02165526 -0.09950071 -0.04939997 0.01250505 -0.09034997 -0.03689998 0.02052438 -0.1073769 -0.03689998 0.02500408 -0.112 -0.04939997 0.0216543 -0.09949928 -0.03689998 0.02165526 -0.1244992 -0.04939997 0.02500432 -0.112 -0.04939997 0.0216543 -0.1245006 -0.03689998 -0.004618585 -0.09147995 -0.03689998 -0.02137935 -0.1090584 -0.03689998 -0.02137935 -0.1149415 -0.03689998 0.004627406 -0.13252 -0.03689998 0.02138811 -0.1149415 -0.03689998 0.02138811 -0.1090584 -0.04839998 0.02052438 -0.1166231 -0.04839998 0.0204423 -0.1166592 -0.03689998 0.01992046 -0.11025 -0.03689998 0.01992046 -0.11375 -0.04839998 0.02115875 -0.1144034 -0.04839998 0.02100378 -0.1162872 -0.03689998 0.01156663 -0.11025 -0.03689998 0.01156663 -0.11375 -0.04839998 0.01156663 -0.11375 -0.04839998 0.01992046 -0.11375 -0.03689998 0.009896457 -0.1097418 -0.03689998 0.009896457 -0.1142582 -0.03689998 0.008791744 -0.10839 -0.03689998 0.008791744 -0.11561 -0.04839998 0.009896457 -0.1142582 -0.03689998 0.006721794 -0.1052826 -0.04839998 0.008791744 -0.11561 -0.04839998 0.006721794 -0.1187174 -0.04839998 0.003614366 -0.1207873 -0.04839998 0.002262473 -0.1218921 -0.04839998 0.001754343 -0.1319161 -0.04839998 0.001754343 -0.1235623 -0.04839998 0.002407789 -0.1331544 -0.04839998 0.004627406 -0.13252 -0.04839998 0.004291653 -0.1329994 -0.04839998 0.004663646 -0.132438 -0.04839998 0.004627406 -0.09147995 -0.04839998 0.004663646 -0.09156197 -0.04839998 0.002407789 -0.09084558 -0.04839998 0.004291653 -0.09100055 -0.04839998 0.001754343 -0.1004377 -0.04839998 0.001754343 -0.09208387 -0.04839998 0.002262473 -0.1021078 -0.04839998 0.003614366 -0.1032126 -0.04839998 0.006721794 -0.1052826 -0.04839998 0.008791744 -0.10839 -0.04839998 0.009896457 -0.1097418 -0.04839998 0.01992046 -0.11025 -0.04839998 0.01156663 -0.11025 -0.04839998 0.02115875 -0.1095966 -0.04839998 0.02052438 -0.1073769 -0.04839998 0.02100378 -0.1077127 -0.04839998 0.0204423 -0.1073407 -0.04839998 -0.02051562 -0.1073769 -0.04839998 -0.0204336 -0.1073407 -0.03689998 -0.0199117 -0.11375 -0.03689998 -0.0199117 -0.11025 -0.04839998 -0.02114999 -0.1095966 -0.04839998 -0.02099502 -0.1077127 -0.03689998 -0.01155787 -0.11375 -0.03689998 -0.01155787 -0.11025 -0.04839998 -0.01155787 -0.11025 -0.04839998 -0.0199117 -0.11025 -0.03689998 -0.009887695 -0.1142582 -0.03689998 -0.009887695 -0.1097418 -0.03689998 -0.008782982 -0.11561 -0.03689998 -0.008782982 -0.10839 -0.04839998 -0.009887695 -0.1097418 -0.03689998 -0.006712913 -0.1187175 -0.04839998 -0.008782982 -0.10839 -0.04839998 -0.006712973 -0.1052826 -0.04839998 -0.003605604 -0.1032126 -0.04839998 -0.002253711 -0.1021078 -0.04839998 -0.001745522 -0.09208387 -0.04839998 -0.001745522 -0.1004377 -0.04839998 -0.002399027 -0.09084558 -0.04839998 -0.004618585 -0.09147995 -0.04839998 -0.004282832 -0.09100055 -0.04839998 -0.004654884 -0.09156197 -0.04839998 -0.0199117 -0.11375 -0.04839998 -0.02114999 -0.1144034 -0.04839998 -0.02051562 -0.1166231 -0.04839998 -0.02099502 -0.1162872 -0.04839998 -0.0204336 -0.1166592 -0.04839998 -0.004618585 -0.13252 -0.04839998 -0.004654884 -0.132438 -0.04839998 -0.002399027 -0.1331544 -0.04839998 -0.004282832 -0.1329994 -0.04839998 -0.001745522 -0.1235623 -0.04839998 -0.001745522 -0.1319161 -0.04839998 -0.002253711 -0.1218921 -0.04839998 -0.003605604 -0.1207873 -0.04839998 -0.006712973 -0.1187174 -0.04839998 -0.008782982 -0.11561 -0.04839998 -0.009887695 -0.1142582 -0.04839998 -0.01155787 -0.11375 -0.04839998 4.3863e-6 -0.1035 -0.04839998 0.001004338 -0.1025 -0.04839998 7.11333e-4 -0.1032069 -0.04839998 -7.0256e-4 -0.1032069 -0.04839998 -7.0256e-4 -0.101793 -0.04839998 4.3863e-6 -0.1015 -0.04839998 -9.95614e-4 -0.1025 -0.04839998 7.11333e-4 -0.101793 -0.04789996 -9.95614e-4 -0.1025 -0.04789996 -7.03057e-4 -0.1032065 -0.04789996 -7.03057e-4 -0.1017935 -0.04789996 4.3863e-6 -0.1015003 -0.04789996 7.1183e-4 -0.1017935 -0.04789996 0.001004338 -0.1025 -0.04789996 7.1183e-4 -0.1032065 -0.04789996 4.3863e-6 -0.1034997 0.04109996 -0.00987488 -0.09489619 0.04109996 -0.01375073 -0.08818495 0.04109996 0 -0.08449995 0.04209995 0 -0.08449995 0.04109996 0 -0.08809995 0.04109996 0.01375073 -0.08818495 0.04209995 0.01375085 -0.08818489 0.04109996 -0.001428902 -0.088925 0.04109996 -0.01689982 -0.0951001 0.04109996 -0.02381497 -0.09824919 0.04209995 -0.01375085 -0.08818489 0.04109996 -0.01413929 -0.09583979 0.04109996 -0.01530599 -0.09467309 0.04109996 -0.02389997 -0.112 0.04109996 -0.02749997 -0.112 0.04209995 -0.02381587 -0.0982508 0.04109996 -0.02307498 -0.110571 0.04109996 -0.02381497 -0.1257507 0.04209995 -0.02749973 -0.112 0.04109996 -0.01689982 -0.1288998 0.04109996 -0.01375073 -0.135815 0.04209995 -0.02381587 -0.1257491 0.04109996 -0.02059996 -0.112 0.04109996 -0.01974976 -0.112 0.04109996 -0.01732689 -0.1273061 0.04109996 -0.02307498 -0.1134289 0.04109996 -0.02142488 -0.1134289 0.04109996 0 -0.1359 0.04109996 0 -0.1395 0.04209995 -0.01375085 -0.1358151 0.04109996 -0.01413929 -0.1281601 0.04109996 -0.00987488 -0.1291038 0.04109996 -0.001428902 -0.1334249 0.04109996 -0.01530599 -0.1293269 0.04109996 -0.001428902 -0.135075 0.04109996 0.00987488 -0.1291038 0.04109996 0.01375073 -0.135815 0.04209995 0 -0.1395 0.04109996 0.001428902 -0.135075 0.04109996 0.01689982 -0.1288998 0.04109996 0.02381497 -0.1257507 0.04209995 0.01375085 -0.1358151 0.04109996 0.01413929 -0.1281601 0.04109996 0.01530599 -0.1293269 0.04109996 0.02389997 -0.112 0.04109996 0.02749997 -0.112 0.04209995 0.02381587 -0.1257491 0.04109996 0.02307498 -0.1134289 0.04109996 0.02381497 -0.09824919 0.04209995 0.02749973 -0.112 0.04109996 0.01689982 -0.0951001 0.04209995 0.02381587 -0.0982508 0.04109996 0.02059996 -0.112 0.04109996 0.01974976 -0.112 0.04109996 0.01732689 -0.09669393 0.04109996 0.02307498 -0.110571 0.04109996 0.02142488 -0.110571 0.04109996 0.001428902 -0.09057497 0.04109996 0.00987488 -0.09489619 0.04109996 0.01413929 -0.09583979 0.04109996 0.001428902 -0.088925 0.04109996 0.01530599 -0.09467309 0.04109996 0 -0.09224998 0.04459995 0 -0.09224998 0.04109996 0 -0.09139996 0.04459995 -0.009874701 -0.09489583 0.04109996 0.01456636 -0.09743356 0.04109996 0.01710397 -0.102125 0.04459995 0.01710385 -0.1021248 0.04459995 0.009874701 -0.09489583 0.04109996 0.01616013 -0.09786063 0.04109996 0.01732689 -0.1273061 0.04109996 0.01710397 -0.121875 0.04459995 0.01974993 -0.112 0.04109996 0.01456636 -0.1265664 0.04459995 0.01710385 -0.1218752 0.04109996 0.01616013 -0.1261394 0.04109996 0 -0.1326 0.04109996 0 -0.13175 0.04459995 0.009874701 -0.1291041 0.04109996 0.001428902 -0.1334249 0.04459995 0 -0.13175 0.04109996 -0.01456636 -0.1265664 0.04109996 -0.01710397 -0.121875 0.04459995 -0.01710385 -0.1218752 0.04459995 -0.009874701 -0.1291041 0.04109996 -0.01616013 -0.1261394 0.04109996 -0.01732689 -0.09669393 0.04109996 -0.01710397 -0.102125 0.04459995 -0.01974993 -0.112 0.04109996 -0.01456636 -0.09743356 0.04459995 -0.01710385 -0.1021248 0.04109996 -0.01616013 -0.09786063 0.04109996 -0.001428902 -0.09057497 0.04509997 0 -0.08809995 0.04509997 -0.001428902 -0.088925 0.04509997 0.001428902 -0.088925 0.04509997 0.001428902 -0.09057497 0.04509997 0 -0.09139996 0.04509997 -0.001428902 -0.09057497 0.04509997 -0.01689982 -0.0951001 0.04109996 -0.02142488 -0.110571 0.04509997 -0.01732689 -0.09669393 0.04509997 -0.01530599 -0.09467309 0.04509997 -0.01413929 -0.09583979 0.04509997 -0.01456636 -0.09743356 0.04509997 -0.01616013 -0.09786063 0.04509997 -0.02389997 -0.112 0.04509997 -0.02307498 -0.1134289 0.04509997 -0.02307498 -0.110571 0.04509997 -0.02142488 -0.110571 0.04509997 -0.02059996 -0.112 0.04509997 -0.02142488 -0.1134289 0.04509997 -0.01689982 -0.1288998 0.04509997 -0.01530599 -0.1293269 0.04509997 -0.01732689 -0.1273061 0.04509997 -0.01616013 -0.1261394 0.04509997 -0.01456636 -0.1265664 0.04509997 -0.01413929 -0.1281601 0.04509997 0 -0.1359 0.04509997 0.001428902 -0.135075 0.04509997 -0.001428902 -0.135075 0.04509997 -0.001428902 -0.1334249 0.04509997 0 -0.1326 0.04509997 0.001428902 -0.1334249 0.04509997 0.01689982 -0.1288998 0.04109996 0.02142488 -0.1134289 0.04509997 0.01732689 -0.1273061 0.04509997 0.01530599 -0.1293269 0.04509997 0.01413929 -0.1281601 0.04509997 0.01456636 -0.1265664 0.04509997 0.01616013 -0.1261394 0.04509997 0.02389997 -0.112 0.04509997 0.02307498 -0.110571 0.04509997 0.02307498 -0.1134289 0.04509997 0.02142488 -0.1134289 0.04509997 0.02059996 -0.112 0.04509997 0.02142488 -0.110571 0.04509997 0.01689982 -0.0951001 0.04509997 0.01530599 -0.09467309 0.04509997 0.01732689 -0.09669393 0.04509997 0.01616013 -0.09786063 0.04509997 0.01456636 -0.09743356 0.04509997 0.01413929 -0.09583979 0.04509997 -0.0122506 -0.09078282 0.04509997 0 -0.08749997 0.04509997 0 -0.09174996 0.04509997 -0.01012539 -0.0944634 0.04509997 0.01012539 -0.0944634 0.04509997 -0.0173245 -0.09467655 0.04509997 -0.01753646 -0.1018744 0.04509997 -0.02121782 -0.09975063 0.04509997 -0.02121782 -0.1242493 0.04509997 -0.02449977 -0.112 0.04509997 -0.01732462 -0.1293234 0.04509997 -0.02024996 -0.112 0.04509997 -0.0122506 -0.1332172 0.04509997 -0.01753646 -0.1221256 0.04509997 -0.01012539 -0.1295365 0.04509997 0.0122506 -0.1332172 0.04509997 0 -0.1365 0.04509997 0 -0.13225 0.04509997 0.01012539 -0.1295365 0.04509997 0.0173245 -0.1293234 0.04509997 0.01753646 -0.1221256 0.04509997 0.02121782 -0.1242493 0.04509997 0.02121782 -0.09975063 0.04509997 0.02449977 -0.112 0.04509997 0.01732462 -0.09467655 0.04509997 0.02024996 -0.112 0.04509997 0.0122506 -0.09078282 0.04509997 0.01753646 -0.1018744 0.04459995 0 -0.08699995 0.04459995 -0.01249974 -0.09034925 0.04459995 0.01249974 -0.09034925 0.04459995 0.02165055 -0.09949988 0.04459995 0.02499997 -0.112 0.04459995 0.02165055 -0.1245 0.04459995 0.01249974 -0.1336507 0.04459995 0 -0.137 0.04459995 -0.01249974 -0.1336507 0.04459995 -0.02165055 -0.1245 0.04459995 -0.02499997 -0.112 0.04459995 -0.02165055 -0.09949988 0.04209995 0 -0.08699995 0.04209995 0.01250064 -0.09034997 0.04209995 -0.02165001 -0.09949928 0.04209995 -0.01250064 -0.09034997 0.04209995 -0.02499997 -0.112 0.04209995 -0.02165001 -0.1245006 0.04209995 -0.01250064 -0.13365 0.04209995 0 -0.137 0.04209995 0.02165001 -0.1245006 0.04209995 0.01250064 -0.13365 0.04209995 0.02499997 -0.112 0.04209995 0.02165001 -0.09949928 0.05339998 0.0201534 -0.09184867 0.05339998 -0.02849996 -0.04999995 0.05339998 0.02849996 -0.04999995 0.05281412 -0.02849996 -0.04858577 0.05339998 0.02633023 -0.1010932 0.05339998 0.02849996 -0.112 0.05939996 0.02849996 -0.112 0.05939996 0.02849996 -0.032 0.05281412 0.02849996 -0.04858577 0.05339998 -0.02633023 -0.1010932 0.05339998 -0.02849996 -0.112 0.05939996 -0.02849996 -0.032 0.05339998 -0.0201534 -0.09184867 0.05339998 -0.01090878 -0.08567053 0.05339998 0 -0.08349996 0.05339998 0.01090878 -0.08567053 0.0500999 -0.02778518 -0.1056588 0.05939996 -0.02849996 -0.112 0.0500999 -0.02778518 -0.1183411 0.0500999 -0.02228289 -0.09423196 0.0500999 -0.01236701 -0.08632314 0.0500999 0 -0.08349996 0.0500999 0.01236701 -0.08632314 0.0500999 0.02228289 -0.09423196 0.0500999 0.02778518 -0.1056588 0.05939996 0.02567672 -0.1243671 0.05339998 0.02633082 -0.1229056 0.0500999 0.02778518 -0.1183411 0.05939996 -0.01125323 -0.09626787 0.05939996 -0.009991347 -0.09824651 0.05939996 0 -0.09499996 0.05589991 0 -0.09499996 0.05939996 0.01125323 -0.09626787 0.05939996 0.009991347 -0.09824651 0.05589991 0.009992718 -0.0982474 0.05939996 0 -0.09422999 0.05939996 0.01256549 -0.09309929 0.05939996 -0.01256519 -0.09943467 0.05939996 -0.01616829 -0.1067484 0.05589991 -0.009992718 -0.0982474 0.05939996 -0.01776999 -0.112 0.05939996 -0.01616829 -0.1172516 0.05589991 -0.01616734 -0.1067454 0.05939996 -0.01573204 -0.1007466 0.05939996 -0.02224993 -0.1075204 0.05939996 -0.01908159 -0.108833 0.05939996 -0.01256519 -0.1245653 0.05939996 -0.009991347 -0.1257534 0.05589991 -0.01616734 -0.1172546 0.05939996 -0.01908159 -0.115167 0.05939996 -0.02224993 -0.1164796 0.05939996 -0.02567672 -0.1243671 0.05939996 -0.01573204 -0.1232533 0.05939996 -0.01125323 -0.127732 0.05939996 0 -0.129 0.05589991 -0.009992718 -0.1257526 0.05939996 0.01125323 -0.127732 0.05939996 0.009991347 -0.1257534 0.05589991 0 -0.129 0.05939996 -0.01256549 -0.1309007 0.05939996 0 -0.12977 0.05939996 0.01256519 -0.1245653 0.05939996 0.01616829 -0.1172516 0.05589991 0.009992718 -0.1257526 0.05939996 0.01776999 -0.112 0.05939996 0.01616829 -0.1067484 0.05589991 0.01616734 -0.1172546 0.05939996 0.01573204 -0.1232533 0.05939996 0.02224993 -0.1164796 0.05939996 0.01908159 -0.115167 0.05939996 0.01256519 -0.09943467 0.05589991 0.01616734 -0.1067454 0.05939996 0.01908159 -0.108833 0.05939996 0.02224993 -0.1075204 0.05939996 0.02021282 -0.09626585 0.05939996 0.01573204 -0.1007466 0.05939996 0.01890069 -0.09943443 0.05939996 0.003062725 -0.08099997 0.05939996 -0.003166913 -0.08658158 0.05939996 0 -0.08526998 0.05706989 0 -0.08759999 0.05939996 0.02089351 -0.08099997 0.05939996 0.003166913 -0.08658158 0.05706989 0.00107491 -0.087888 0.05939996 -0.01573407 -0.09178704 0.05939996 -0.004479587 -0.08974999 0.05706989 -0.00186187 -0.08867496 0.05706989 -0.00107491 -0.087888 0.05939996 -0.003166913 -0.09291839 0.05706989 -0.002149999 -0.08974999 0.05939996 -0.01256549 -0.09309929 0.05706989 -0.00107491 -0.09161192 0.05706989 -0.00186187 -0.09082496 0.05939996 0.003166913 -0.09291839 0.05706989 0 -0.09189999 0.05939996 0.01573407 -0.09178704 0.05939996 0.004479587 -0.08974999 0.05706989 0.00186187 -0.09082496 0.05706989 0.00107491 -0.09161192 0.05706989 0.002149999 -0.08974999 0.05939996 0.02248007 -0.08021736 0.05706989 0.00186187 -0.08867496 0.05939996 -0.02021282 -0.09626585 0.05939996 -0.01890093 -0.09309899 0.05706989 -0.01725333 -0.09474658 0.05706989 -0.01628959 -0.09419012 0.05939996 -0.003062725 -0.08099997 0.05939996 -0.02089351 -0.08099997 0.05939996 -0.01890069 -0.09943443 0.05706989 -0.0178098 -0.09682333 0.05706989 -0.0178098 -0.09571039 0.05939996 -0.0254184 -0.108833 0.05706989 -0.01725333 -0.09778714 0.05706989 -0.01517665 -0.09834361 0.05706989 -0.01628959 -0.09834361 0.05706989 -0.01421278 -0.09778714 0.05706989 -0.01365631 -0.09571039 0.05706989 -0.01365631 -0.09682333 0.05706989 -0.01421278 -0.09474658 0.05706989 -0.01517665 -0.09419012 0.05939996 -0.0254184 -0.115167 0.05939996 -0.02673 -0.112 0.05706989 -0.02439999 -0.112 0.05706989 -0.02411186 -0.110925 0.05706989 -0.02332496 -0.1138619 0.05706989 -0.02411186 -0.113075 0.05706989 -0.02224993 -0.11415 0.05706989 -0.02038794 -0.113075 0.05706989 -0.0211749 -0.1138619 0.05706989 -0.02009993 -0.112 0.05706989 -0.0211749 -0.1101379 0.05706989 -0.02038794 -0.110925 0.05706989 -0.02224993 -0.10985 0.05706989 -0.02332496 -0.1101379 0.05939996 -0.01776802 -0.134283 0.05939996 -0.01573407 -0.1322129 0.05939996 -0.01890093 -0.1309009 0.05706989 -0.01725333 -0.1292534 0.05939996 -0.02021282 -0.1277341 0.05706989 -0.0178098 -0.1282895 0.05939996 -0.003166913 -0.1310816 0.05706989 -0.01517665 -0.1298097 0.05939996 -0.004479587 -0.13425 0.05706989 -0.01628959 -0.1298097 0.05706989 -0.01421278 -0.1292534 0.05706989 -0.01365631 -0.1271767 0.05706989 -0.01365631 -0.1282895 0.05706989 -0.01421278 -0.1262128 0.05939996 -0.01890069 -0.1245655 0.05706989 -0.01628959 -0.1256564 0.05706989 -0.01517665 -0.1256564 0.05706989 -0.01725333 -0.1262128 0.05706989 -0.0178098 -0.1271767 0.05939996 0.01776802 -0.134283 0.05939996 0.003166913 -0.1374183 0.05939996 0 -0.1387299 0.05706989 0 -0.1364 0.05939996 -0.00634104 -0.1397852 0.05939996 -0.003166913 -0.1374183 0.05706989 -0.00107491 -0.1361119 0.05939996 0.00634104 -0.1397852 0.05939996 0.004479587 -0.13425 0.05706989 0.00186187 -0.135325 0.05706989 0.00107491 -0.1361119 0.05939996 0.01573407 -0.1322129 0.05939996 0.003166913 -0.1310816 0.05706989 0.002149999 -0.13425 0.05939996 0.01256549 -0.1309007 0.05706989 0.00107491 -0.1323879 0.05706989 0.00186187 -0.133175 0.05706989 0 -0.1321 0.05706989 -0.00186187 -0.133175 0.05706989 -0.00107491 -0.1323879 0.05706989 -0.002149999 -0.13425 0.05706989 -0.00186187 -0.135325 0.05939996 0.02021282 -0.1277341 0.05939996 0.01890093 -0.1309009 0.05706989 0.01725333 -0.1292534 0.05706989 0.01628959 -0.1298097 0.05939996 0.01890069 -0.1245655 0.05706989 0.0178098 -0.1271767 0.05706989 0.0178098 -0.1282895 0.05706989 0.01725333 -0.1262128 0.05706989 0.01517665 -0.1256564 0.05939996 0.0254184 -0.115167 0.05706989 0.01628959 -0.1256564 0.05706989 0.01421278 -0.1262128 0.05706989 0.01365631 -0.1282895 0.05706989 0.01365631 -0.1271767 0.05706989 0.01421278 -0.1292534 0.05706989 0.01517665 -0.1298097 0.05939996 0.0254184 -0.108833 0.05939996 0.02673 -0.112 0.05706989 0.02439999 -0.112 0.05706989 0.02411186 -0.113075 0.05706989 0.02332496 -0.1101379 0.05706989 0.02411186 -0.110925 0.05706989 0.02224993 -0.10985 0.05939996 0.02282536 -0.07848232 0.05706989 0.02038794 -0.110925 0.05706989 0.0211749 -0.1101379 0.05706989 0.02009993 -0.112 0.05706989 0.0211749 -0.1138619 0.05706989 0.02038794 -0.113075 0.05706989 0.02224993 -0.11415 0.05706989 0.02332496 -0.1138619 0.05939996 0.01890093 -0.09309899 0.05706989 0.01725333 -0.09474658 0.05706989 0.0178098 -0.09571039 0.05706989 0.01517665 -0.09419012 0.05706989 0.01628959 -0.09419012 0.05706989 0.01421278 -0.09474658 0.05706989 0.01365631 -0.09682333 0.05706989 0.01365631 -0.09571039 0.05706989 0.01421278 -0.09778714 0.05706989 0.01628959 -0.09834361 0.05706989 0.01517665 -0.09834361 0.05706989 0.01725333 -0.09778714 0.05706989 0.0178098 -0.09682333 0.05939996 -0.02349996 -0.05035358 0.05939996 -0.02349996 -0.03999996 0.0543999 -0.02349996 -0.03999996 0.05939996 -0.02291417 -0.03858578 0.0543999 -0.02291417 -0.03858578 0.05939996 -0.02264744 -0.0519914 0.0543999 -0.02349996 -0.05035358 0.05939996 -0.02081549 -0.05223262 0.0543999 -0.02264744 -0.0519914 0.05939996 -0.01390993 -0.04520976 0.05939996 -0.01956814 -0.05087131 0.0543999 -0.02081549 -0.05223262 0.05939996 -0.02282536 -0.07848232 0.05939996 -0.0128234 -0.04391479 0.05939996 -0.01679378 -0.04051756 0.0543999 -0.01956814 -0.05087131 0.05939996 -0.006817162 -0.03878253 0.05939996 -0.01713919 -0.03878253 0.0543999 -0.01679378 -0.04051756 0.05939996 -0.007162392 -0.04051756 0.05939996 -0.005230605 -0.03799992 0.05939996 -0.01872569 -0.03799992 0.0543999 -0.01713919 -0.03878253 0.05939996 -0.02149999 -0.03799992 0.0543999 -0.01872569 -0.03799992 0.0543999 -0.02149999 -0.03799992 0.05939996 0.01872569 -0.03799992 0.05939996 0.02149999 -0.03799992 0.0543999 0.02149999 -0.03799992 0.05939996 0.02291417 -0.03858578 0.0543999 0.02291417 -0.03858578 0.05939996 0.006817162 -0.03878253 0.05939996 0.01713919 -0.03878253 0.0543999 0.01872569 -0.03799992 0.05939996 0.005230605 -0.03799992 0.05939996 0.007162392 -0.04051756 0.05939996 0.01679378 -0.04051756 0.0543999 0.01713919 -0.03878253 0.05939996 0.01390993 -0.04520976 0.05939996 0.01956814 -0.05087131 0.0543999 0.01679378 -0.04051756 0.05939996 0.01113283 -0.04391479 0.05939996 0.0128234 -0.04391479 0.05939996 0.02081549 -0.05223262 0.0543999 0.01956814 -0.05087131 0.05939996 0.02264744 -0.0519914 0.0543999 0.02081549 -0.05223262 0.05939996 0.02349996 -0.05035358 0.0543999 0.02264744 -0.0519914 0.05939996 0.02349996 -0.03999996 0.0543999 0.02349996 -0.05035358 0.0543999 0.02349996 -0.03999996 0.0543999 0.007162392 -0.04051756 0.05939996 0.0100463 -0.04520976 0.05939996 0.001931846 -0.0600385 0.0543999 0.001931846 -0.0600385 0.0543999 0.006817162 -0.03878253 0.0543999 0.005230605 -0.03799992 0.0543999 -0.005230605 -0.03799992 0.0543999 -0.006817162 -0.03878253 0.05939996 -0.0100463 -0.04520976 0.05939996 -0.001931846 -0.0600385 0.0543999 -0.007162392 -0.04051756 0.05939996 -0.01113283 -0.04391479 0.05939996 -0.001130878 -0.07848232 0.05939996 -8.45236e-4 -0.06133353 0.0543999 -0.001931846 -0.0600385 0.05939996 8.45236e-4 -0.06133353 0.0543999 -8.45236e-4 -0.06133353 0.0543999 8.45236e-4 -0.06133353 0.0543999 -0.0100463 -0.04520976 0.0543999 -0.001130878 -0.07848232 0.0543999 -0.01113283 -0.04391479 0.0543999 -0.0128234 -0.04391479 0.0543999 -0.01390993 -0.04520976 0.05939996 -0.02248007 -0.08021736 0.0543999 -0.02282536 -0.07848232 0.0543999 -0.02248007 -0.08021736 0.0543999 -0.02089351 -0.08099997 0.05939996 0.001476228 -0.08021736 0.05939996 -0.001476228 -0.08021736 0.0543999 -0.003062725 -0.08099997 0.05939996 0.001130878 -0.07848232 0.0543999 -0.001476228 -0.08021736 0.0543999 0.01390993 -0.04520976 0.0543999 0.02282536 -0.07848232 0.0543999 0.0128234 -0.04391479 0.0543999 0.01113283 -0.04391479 0.0543999 0.0100463 -0.04520976 0.0543999 0.001130878 -0.07848232 0.0543999 0.001476228 -0.08021736 0.0543999 0.003062725 -0.08099997 0.0543999 0.02089351 -0.08099997 0.0543999 0.02248007 -0.08021736 0.0486499 -0.01799988 -0.032 0.03239995 0.02849996 -0.032 0.03239995 0.0205 -0.032 0.0486499 0.01799988 -0.032 0.04791772 0.01976776 -0.032 0.0461499 0.0205 -0.032 0.05339998 0.02015358 -0.1321514 0.05339998 0.01090759 -0.1383301 0.05339998 0 -0.1405 0.0500999 -0.01236701 -0.1376768 0.0500999 0 -0.1405 0.0500999 -0.02228289 -0.129768 0.05139994 -0.02849996 -0.04799991 0.03239995 -0.02849996 -0.04799991 0.03239995 -0.02849996 -0.032 0.04791772 -0.01976776 -0.032 0.05589991 0.0115357 -0.1278761 0.05589991 -0.0115357 -0.1278761 0.05589991 0.006065905 -0.1306638 0.05589991 0.01587611 -0.1235357 0.05589991 0.01962488 -0.112 0.05589991 0.01866376 -0.118066 0.05589991 0.01866376 -0.105934 0.05589991 0.0115357 -0.09612381 0.05589991 0.01587611 -0.1004642 0.05589991 -0.0115357 -0.09612381 0.05589991 -0.006065905 -0.09333616 0.05589991 -0.01587611 -0.1004642 0.05589991 -0.01962488 -0.112 0.05589991 -0.01866376 -0.105934 0.05589991 -0.01866376 -0.118066 0.05589991 -0.01587611 -0.1235357 0.04182547 -0.01642894 -0.04799991 0.05139994 0.02849996 -0.04799991 0.04429996 0.01499992 -0.04799991 0.04347437 0.01357096 -0.04799991 0.04429996 0.004999995 -0.04799991 0.04347437 0.003570914 -0.04799991 0.04182547 0.003570914 -0.04799991 0.04429996 -0.004999995 -0.04799991 0.04347437 -0.006428897 -0.04799991 0.04182547 -0.006428897 -0.04799991 0.04429996 -0.01499992 -0.04799991 0.04347437 -0.01642894 -0.04799991 0.03239995 -0.0205 -0.032 0.03239995 0.01999998 -0.04099988 0.03239995 0.02849996 -0.04799991 0.04099988 -0.01499992 -0.04799991 0.03239995 -0.01999998 -0.0324999 0.03239995 -0.01999998 -0.04099988 0.0461499 -0.0205 -0.032 0.0500999 0.02228289 -0.129768 0.0500999 0.01236701 -0.1376768 0.0500999 0 -0.137 0.0500999 0.01249873 -0.133651 0.0500999 -0.01249873 -0.133651 0.0500999 -0.02499997 -0.112 0.0500999 -0.02165091 -0.1244988 0.0500999 -0.02165091 -0.09950113 0.0500999 -0.01249873 -0.09034895 0.0500999 0 -0.08699995 0.04347437 0.01642894 -0.04799991 0.04182547 0.01642894 -0.04799991 0.04099988 0.01499992 -0.04799991 0.04182547 0.01357096 -0.04799991 0.04347437 0.006428897 -0.04799991 0.04182547 0.006428897 -0.04799991 0.04099988 0.004999995 -0.04799991 0.04347437 -0.003570914 -0.04799991 0.04182547 -0.003570914 -0.04799991 0.04099988 -0.004999995 -0.04799991 0.04182547 -0.01357096 -0.04799991 0.0461499 -0.01999998 -0.0324999 0.04756414 -0.01941418 -0.0324999 0.04815 -0.01799988 -0.0324999 0.04815 0.01799988 -0.0324999 0.04756414 0.01941418 -0.0324999 0.0461499 0.01999998 -0.0324999 0.03239995 0.01999998 -0.0324999 0.0461499 0.01999998 -0.04099988 0.04099988 0.01499992 -0.04099988 0.04182547 0.01642894 -0.04099988 0.04182547 0.01357096 -0.04099988 0.04347437 0.01357096 -0.04099988 0.04099988 0.004999995 -0.04099988 0.04182547 0.003570914 -0.04099988 0.04347437 0.003570914 -0.04099988 0.04099988 -0.004999995 -0.04099988 0.04182547 -0.006428897 -0.04099988 0.04347437 -0.006428897 -0.04099988 0.04182547 -0.01357096 -0.04099988 0.04182547 -0.01642894 -0.04099988 0.04099988 -0.01499992 -0.04099988 0.04347437 -0.01642894 -0.04099988 0.04815 -0.01799988 -0.04099988 0.04756414 -0.01941418 -0.04099988 0.0461499 -0.01999998 -0.04099988 0.04347437 0.01642894 -0.04099988 0.04429996 0.01499992 -0.04099988 0.04182547 0.006428897 -0.04099988 0.04347437 0.006428897 -0.04099988 0.04429996 0.004999995 -0.04099988 0.04347437 -0.01357096 -0.04799991 0.04182547 -0.003570914 -0.04099988 0.04347437 -0.003570914 -0.04099988 0.04429996 -0.004999995 -0.04099988 0.04347437 -0.01357096 -0.04099988 0.04429996 -0.01499992 -0.04099988 0.04815 0.01799988 -0.04099988 0.04756414 0.01941418 -0.04099988 0.04539996 -0.01587748 -0.1235341 0.04539996 -0.02165132 -0.1244984 0.04539996 -0.02499997 -0.112 0.04539996 -0.02439999 -0.112 0.04539996 -0.02165132 -0.09950155 0.04539996 -0.02332431 -0.113862 0.04539996 -0.01725333 -0.1292534 0.04539996 -0.01767623 -0.1296787 0.04539996 -0.01780945 -0.1271761 0.04539996 -0.01629 -0.1256568 0.04539996 -0.001861989 -0.1331756 0.04539996 -0.012501 -0.1336496 0.04539996 -0.01517605 -0.1298094 0.04539996 -0.006065428 -0.1306641 0.04539996 0 -0.1321 0.04539996 0 -0.1316249 0.04539996 0 -0.1364 0.04539996 0 -0.1369996 0.04539996 -0.001861989 -0.1353242 0.04539996 0.001861989 -0.1353242 0.04539996 0.012501 -0.1336496 0.04539996 0.01517605 -0.1298094 0.04539996 0.01767623 -0.1296787 0.04539996 0.001861989 -0.1331756 0.04539996 0.006065428 -0.1306641 0.04539996 0.01780945 -0.1271761 0.04539996 0.02165132 -0.1244984 0.04539996 0.01725333 -0.1292534 0.04539996 0.02439999 -0.112 0.04539996 0.02499997 -0.112 0.0500999 0.02165091 -0.1244988 0.04539996 0.01629 -0.1256568 0.04539996 0.01587748 -0.1235341 0.04539996 0.02332431 -0.113862 0.04539996 0.02117562 -0.113862 0.04539996 0.01866436 -0.1180636 0.04539996 0.01587748 -0.1004658 0.04539996 0.02165132 -0.09950155 0.0500999 0.02499997 -0.112 0.04539996 0.02332431 -0.1101379 0.04539996 0.01725333 -0.09474658 0.04539996 0.01767623 -0.09432125 0.0500999 0.02165091 -0.09950113 0.04539996 0.01780945 -0.09682387 0.04539996 0.01629 -0.09834319 0.04539996 0.001861989 -0.0908243 0.04539996 0.012501 -0.09035032 0.04539996 0 -0.09189999 0.04539996 0 -0.09237498 0.04539996 0.01517605 -0.09419053 0.04539996 0.006065428 -0.09333586 0.04539996 0 -0.08759999 0.04539996 0 -0.08700042 0.0500999 0.01249873 -0.09034895 0.04539996 0.001861989 -0.08867567 0.04539996 -0.001861989 -0.08867567 0.04539996 -0.012501 -0.09035032 0.04539996 -0.01517605 -0.09419053 0.04539996 -0.01767623 -0.09432125 0.04539996 -0.001861989 -0.0908243 0.04539996 -0.006065428 -0.09333586 0.04539996 -0.01780945 -0.09682387 0.04539996 -0.01725333 -0.09474658 0.04539996 -0.01629 -0.09834319 0.04539996 -0.01587748 -0.1004658 0.04539996 -0.02332431 -0.1101379 0.04539996 -0.02117562 -0.1101379 0.04539996 -0.01866436 -0.1059363 0.04539996 -0.0115363 -0.09612399 0.04539996 -0.01365679 -0.09570986 0.04539996 -0.01421278 -0.09778714 0.04539996 -0.01962465 -0.112 0.04539996 -0.02009993 -0.112 0.04539996 -0.01866436 -0.1180636 0.04539996 -0.02117562 -0.113862 0.04539996 -0.01421278 -0.1262128 0.04539996 -0.0115363 -0.127876 0.04539996 -0.01365679 -0.1282901 0.04539996 0.0115363 -0.127876 0.04539996 0.01365679 -0.1282901 0.04539996 0.01421278 -0.1262128 0.04539996 0.01962465 -0.112 0.04539996 0.02009993 -0.112 0.04539996 0.01866436 -0.1059363 0.04539996 0.02117562 -0.1101379 0.04539996 0.01421278 -0.09778714 0.04539996 0.0115363 -0.09612399 0.04539996 0.01365679 -0.09570986 0.05589991 0 -0.1316249 0.05589991 -0.006065905 -0.1306638 0.05589991 0 -0.09237498 0.05589991 0.006065905 -0.09333616 0.0500999 0.01246672 -0.08611208 0.0500999 0.0141012 -0.08271855 0.0500999 0 -0.07949995 0.04995352 0 -0.07914644 0.0500999 0 -0.08326667 0.0500999 -0.0141012 -0.08271855 0.04959994 -0.01431804 -0.08226799 0.0500999 0.02246463 -0.09408509 0.0500999 0.02026343 -0.08659046 0.04959994 0.01431804 -0.08226799 0.04959994 0 -0.07899999 0.0500999 0.02276831 -0.08923089 0.0500999 0.02540946 -0.09173655 0.0500999 0.02157402 -0.08972609 0.0500999 0.02227377 -0.08902609 0.0500999 0.02177923 -0.08923089 0.0500999 0.03168511 -0.1192319 0.0500999 0.03168511 -0.104768 0.04959994 0.02580034 -0.09142482 0.0500999 0.02801293 -0.1056063 0.0500999 0.02297353 -0.08972609 0.04959994 0.03217262 -0.1046568 0.0500999 0.02801293 -0.1183937 0.0500999 0.02540946 -0.1322634 0.04959994 0.03217262 -0.1193432 0.0500999 0.02276831 -0.134769 0.0500999 0.02026343 -0.1374095 0.04959994 0.02580034 -0.1325752 0.0500999 0.02246463 -0.1299149 0.0500999 0.02297353 -0.1342738 0.0500999 0.01246672 -0.1378878 0.0500999 0.0141012 -0.1412814 0.0500999 0.02157402 -0.1342738 0.0500999 0.02227377 -0.1349738 0.0500999 0.02177923 -0.134769 0.0500999 0 -0.1407333 0.0500999 0 -0.1445 0.04959994 0.01431804 -0.1417319 0.0500999 -0.01246672 -0.1378878 0.0500999 -0.0141012 -0.1412814 0.04995352 0 -0.1448535 0.0500999 -0.02246463 -0.1299149 0.0500999 -0.02026343 -0.1374095 0.04959994 -0.01431804 -0.1417319 0.04959994 0 -0.145 0.0500999 -0.02276831 -0.134769 0.0500999 -0.02540946 -0.1322634 0.0500999 -0.02157402 -0.1342738 0.0500999 -0.02177923 -0.134769 0.0500999 -0.02227377 -0.1349738 0.0500999 -0.03168511 -0.104768 0.0500999 -0.03168511 -0.1192319 0.04959994 -0.02580034 -0.1325752 0.0500999 -0.02801293 -0.1183937 0.0500999 -0.02297353 -0.1342738 0.04959994 -0.03217262 -0.1193432 0.0500999 -0.02801293 -0.1056063 0.0500999 -0.02540946 -0.09173655 0.04959994 -0.03217262 -0.1046568 0.0500999 -0.02276831 -0.08923089 0.0500999 -0.02026343 -0.08659046 0.04959994 -0.02580034 -0.09142482 0.0500999 -0.02246463 -0.09408509 0.0500999 -0.02297353 -0.08972609 0.0500999 -0.01246672 -0.08611208 0.0500999 -0.02157402 -0.08972609 0.0500999 -0.02177923 -0.08923089 0.0500999 -0.02227377 -0.08902609 0.04969996 0 -0.08326667 0.04969996 0.01246672 -0.08611208 0.0500999 -0.02177923 -0.09022134 0.04969996 -0.01246672 -0.08611208 0.04969996 -0.02246463 -0.09408509 0.0500999 -0.02227377 -0.09042614 0.0500999 -0.02276831 -0.09022134 0.04969996 -0.02801293 -0.1056063 0.0500999 -0.02276831 -0.1337786 0.04969996 -0.02801293 -0.1183937 0.04969996 -0.02246463 -0.1299149 0.0500999 -0.02177923 -0.1337786 0.0500999 -0.02227377 -0.1335738 0.04969996 -0.01246672 -0.1378878 0.04969996 0 -0.1407333 0.0500999 0.02177923 -0.1337786 0.04969996 0.01246672 -0.1378878 0.04969996 0.02246463 -0.1299149 0.0500999 0.02276831 -0.1337786 0.0500999 0.02227377 -0.1335738 0.04969996 0.02801293 -0.1183937 0.0500999 0.02276831 -0.09022134 0.04969996 0.02801293 -0.1056063 0.04969996 0.02246463 -0.09408509 0.0500999 0.02227377 -0.09042614 0.0500999 0.02177923 -0.09022134 0.04939997 0.02227377 -0.09042614 0.04939997 0.02177888 -0.0902211 0.04939997 0.02276879 -0.0902211 0.04939997 0.02297383 -0.08972609 0.04939997 0.02276879 -0.08923113 0.04939997 0.02227377 -0.08902609 0.04939997 0.02177888 -0.08923113 0.04939997 0.02157384 -0.08972609 0.04939997 0.02227377 -0.1349738 0.04939997 0.02177888 -0.1347688 0.04939997 0.02276879 -0.1347688 0.04939997 0.02297383 -0.1342738 0.04939997 0.02276879 -0.1337789 0.04939997 0.02227377 -0.1335738 0.04939997 0.02177888 -0.1337789 0.04939997 0.02157384 -0.1342738 0.04939997 -0.02227377 -0.1349738 0.04939997 -0.02276879 -0.1347688 0.04939997 -0.02177888 -0.1347688 0.04939997 -0.02157384 -0.1342738 0.04939997 -0.02177888 -0.1337789 0.04939997 -0.02227377 -0.1335738 0.04939997 -0.02276879 -0.1337789 0.04939997 -0.02297383 -0.1342738 0.04939997 -0.02227377 -0.09042614 0.04939997 -0.02276879 -0.0902211 0.04939997 -0.02177888 -0.0902211 0.04939997 -0.02157384 -0.08972609 0.04939997 -0.02177888 -0.08923113 0.04939997 -0.02227377 -0.08902609 0.04939997 -0.02276879 -0.08923113 0.04939997 -0.02297383 -0.08972609 0.04969996 0 -0.08349996 0.04969996 0.01236552 -0.0863223 0.04969996 -0.02228218 -0.09423053 0.04969996 -0.01236552 -0.0863223 0.04969996 -0.02778542 -0.1056582 0.04969996 -0.02778542 -0.1183418 0.04969996 -0.02228218 -0.1297694 0.04969996 -0.01236552 -0.1376776 0.04969996 0 -0.1405 0.04969996 0.02228218 -0.09423053 0.04969996 0.02778542 -0.1056582 0.04969996 0.02778542 -0.1183418 0.04969996 0.02228218 -0.1297694 0.04969996 0.01236552 -0.1376776 0.0500999 0.01236552 -0.0863223 0.0500999 -0.01236552 -0.0863223 0.0500999 -0.02228218 -0.09423053 0.0500999 -0.02778542 -0.1056582 0.0500999 -0.02778542 -0.1183418 0.0500999 -0.02228218 -0.1297694 0.0500999 -0.01236552 -0.1376776 0.0500999 0.01236552 -0.1376776 0.0500999 0.02228218 -0.1297694 0.0500999 0.02778542 -0.1183418 0.0500999 0.02778542 -0.1056582 0.0500999 0.02228218 -0.09423053 0.0500999 0 -0.08649998 0.0500999 0.01274991 -0.08991634 0.0500999 -0.01274991 -0.08991634 0.0500999 -0.02549993 -0.112 0.0500999 -0.02208364 -0.09924995 0.0500999 -0.02208364 -0.12475 0.0500999 -0.01274991 -0.1340836 0.0500999 0 -0.1375 0.0500999 0.02208364 -0.09924995 0.0500999 0.02549993 -0.112 0.0500999 0.01274991 -0.1340836 0.0500999 0.02208364 -0.12475 0.04995352 0 -0.08685356 0.04959994 0.01249992 -0.09034937 0.04959994 -0.01249992 -0.09034937 0.04959994 0 -0.08699995 0.04959994 -0.02165061 -0.0995 0.04959994 -0.02499997 -0.112 0.04959994 -0.02165061 -0.1245 0.04959994 -0.01249992 -0.1336506 0.04995352 0 -0.1371464 0.04959994 0.01249992 -0.1336506 0.04959994 0 -0.137 0.04959994 0.02165061 -0.1245 0.04959994 0.02499997 -0.112 0.04959994 0.02165061 -0.0995 0.04259991 0 -0.08699995 0.04259991 0.01249992 -0.09034937 0.04259991 -0.01249992 -0.09034937 0.04259991 -0.02165061 -0.0995 0.04259991 -0.02499997 -0.112 0.04259991 -0.02165061 -0.1245 0.04259991 -0.01249992 -0.1336506 0.04259991 0 -0.137 0.0422464 0 -0.08685356 0.04209995 0.01274991 -0.08991634 0.04209995 -0.01274991 -0.08991634 0.04209995 0 -0.08649998 0.04209995 -0.02208364 -0.09924995 0.04209995 -0.02549993 -0.112 0.04209995 -0.02208364 -0.12475 0.04209995 -0.01274991 -0.1340836 0.0422464 0 -0.1371464 0.04259991 0.01249992 -0.1336506 0.04209995 0 -0.08349996 0.04209995 0.01236552 -0.0863223 0.04209995 -0.01236552 -0.0863223 0.04209995 -0.02228218 -0.09423053 0.04209995 -0.02228218 -0.1297694 0.04209995 -0.02778542 -0.1183418 0.04209995 0 -0.1375 0.04209995 -0.01236552 -0.1376776 0.04209995 0 -0.1405 0.04209995 0.01274991 -0.1340836 0.04209995 0.02228218 -0.09423053 0.04209995 0.02208364 -0.09924995 0.04209995 0.02549993 -0.112 0.04259991 0.02165061 -0.0995 0.04209995 0.02228218 -0.1297694 0.04209995 0.02208364 -0.12475 0.04259991 0.02499997 -0.112 0.04209995 0.02778542 -0.1056582 0.04209995 0.01236552 -0.1376776 0.04259991 0.02165061 -0.1245 0.04249989 0 -0.08349996 0.04249989 0.01236552 -0.0863223 0.04249989 -0.01236552 -0.0863223 0.04209995 -0.02778542 -0.1056582 0.04249989 -0.02228218 -0.09423053 0.04249989 -0.02778542 -0.1056582 0.04249989 -0.02778542 -0.1183418 0.04249989 -0.02228218 -0.1297694 0.04249989 -0.01236552 -0.1376776 0.04249989 0 -0.1405 0.04249989 0.01236552 -0.1376776 0.04209995 0.02778542 -0.1183418 0.04249989 0.02228218 -0.1297694 0.04249989 0.02778542 -0.1183418 0.04249989 0.02778542 -0.1056582 0.04249989 0.02228218 -0.09423053 0.04249989 0 -0.08326667 0.04249989 0.01246672 -0.08611208 0.04249989 -0.01246672 -0.08611208 0.04249989 -0.02246463 -0.09408509 0.04249989 -0.02801293 -0.1183937 0.04249989 -0.02801293 -0.1056063 0.04249989 -0.02246463 -0.1299149 0.04249989 -0.01246672 -0.1378878 0.04249989 0 -0.1407333 0.04249989 0.02246463 -0.09408509 0.04249989 0.02801293 -0.1056063 0.04249989 0.02246463 -0.1299149 0.04249989 0.02801293 -0.1183937 0.04249989 0.01246672 -0.1378878 0.04209995 0 -0.08326667 0.04209995 0.01246672 -0.08611208 0.04209995 -0.01246672 -0.08611208 0.04209995 -0.02246463 -0.09408509 0.04209995 -0.02801293 -0.1056063 0.04209995 -0.02801293 -0.1183937 0.04209995 -0.02246463 -0.1299149 0.04209995 -0.01246672 -0.1378878 0.04209995 0 -0.1407333 0.04209995 0.01246672 -0.1378878 0.04209995 0.02246463 -0.1299149 0.04209995 0.02801293 -0.1183937 0.04209995 0.02801293 -0.1056063 0.04209995 0.02246463 -0.09408509 0.04209995 0 -0.07949995 0.04209995 0.0141012 -0.08271855 0.04209995 -0.0141012 -0.08271855 0.04209995 -0.02276831 -0.09022134 0.04209995 -0.02026343 -0.08659046 0.04209995 -0.02157402 -0.08972609 0.04209995 -0.02227377 -0.09042614 0.04209995 -0.02177923 -0.09022134 0.04209995 -0.03168511 -0.1192319 0.04209995 -0.02540946 -0.09173655 0.04209995 -0.02297353 -0.08972609 0.04209995 -0.02540946 -0.1322634 0.04209995 -0.02177923 -0.1337786 0.04209995 -0.02297353 -0.1342738 0.04209995 -0.02276831 -0.1337786 0.04209995 -0.02227377 -0.1335738 0.04209995 -0.0141012 -0.1412814 0.04209995 -0.02026343 -0.1374095 0.04209995 -0.02157402 -0.1342738 0.04209995 0 -0.1445 0.04209995 0.02177923 -0.09022134 0.04209995 0.02026343 -0.08659046 0.04209995 0.02157402 -0.08972609 0.04209995 0.02540946 -0.09173655 0.04209995 0.02297353 -0.08972609 0.04209995 0.02227377 -0.09042614 0.04209995 0.02276831 -0.09022134 0.04209995 0.03168511 -0.104768 0.04209995 0.02276831 -0.1337786 0.04209995 0.02540946 -0.1322634 0.04209995 0.02297353 -0.1342738 0.04209995 0.0141012 -0.1412814 0.04209995 0.02026343 -0.1374095 0.04209995 0.02157402 -0.1342738 0.04209995 0.02177923 -0.1337786 0.04209995 0.02227377 -0.1335738 0.0422464 0 -0.07914644 0.04259991 0.01431804 -0.08226799 0.04259991 -0.01431804 -0.08226799 0.04259991 0 -0.07899999 0.04209995 -0.02276831 -0.08923089 0.04209995 -0.02227377 -0.08902609 0.04209995 -0.02177923 -0.08923089 0.04209995 -0.03168511 -0.104768 0.04259991 -0.02580034 -0.09142482 0.04259991 -0.03217262 -0.1046568 0.04259991 -0.03217262 -0.1193432 0.04209995 -0.02276831 -0.134769 0.04259991 -0.02580034 -0.1325752 0.04209995 -0.02227377 -0.1349738 0.04209995 -0.02177923 -0.134769 0.04259991 -0.01431804 -0.1417319 0.0422464 0 -0.1448535 0.04259991 0.01431804 -0.1417319 0.04259991 0 -0.145 0.04209995 0.02276831 -0.134769 0.04209995 0.02177923 -0.134769 0.04209995 0.02227377 -0.1349738 0.04209995 0.03168511 -0.1192319 0.04259991 0.02580034 -0.1325752 0.04259991 0.03217262 -0.1193432 0.04259991 0.03217262 -0.1046568 0.04209995 0.02276831 -0.08923089 0.04259991 0.02580034 -0.09142482 0.04209995 0.02177923 -0.08923089 0.04209995 0.02227377 -0.08902609 0.04279989 0.02227377 -0.09042614 0.04279989 0.02276879 -0.0902211 0.04279989 0.02177888 -0.0902211 0.04279989 0.02157384 -0.08972609 0.04279989 0.02177888 -0.08923113 0.04279989 0.02227377 -0.08902609 0.04279989 0.02276879 -0.08923113 0.04279989 0.02297383 -0.08972609 0.04279989 0.02227377 -0.1349738 0.04279989 0.02276879 -0.1347688 0.04279989 0.02177888 -0.1347688 0.04279989 0.02157384 -0.1342738 0.04279989 0.02177888 -0.1337789 0.04279989 0.02227377 -0.1335738 0.04279989 0.02276879 -0.1337789 0.04279989 0.02297383 -0.1342738 0.04279989 -0.02227377 -0.1349738 0.04279989 -0.02177888 -0.1347688 0.04279989 -0.02276879 -0.1347688 0.04279989 -0.02297383 -0.1342738 0.04279989 -0.02276879 -0.1337789 0.04279989 -0.02227377 -0.1335738 0.04279989 -0.02177888 -0.1337789 0.04279989 -0.02157384 -0.1342738 0.04279989 -0.02227377 -0.09042614 0.04279989 -0.02177888 -0.0902211 0.04279989 -0.02276879 -0.0902211 0.04279989 -0.02297383 -0.08972609 0.04279989 -0.02276879 -0.08923113 0.04279989 -0.02227377 -0.08902609 0.04279989 -0.02177888 -0.08923113 0.04279989 -0.02157384 -0.08972609 0.04529988 0 -0.07899999 0.04529988 0.01431804 -0.08226799 0.04529988 -0.01431804 -0.08226799 0.04529988 -0.02580034 -0.09142482 0.04529988 -0.03217262 -0.1046568 0.04529988 -0.03217262 -0.1193432 0.04529988 -0.02580034 -0.1325752 0.04529988 -0.01431804 -0.1417319 0.04529988 0 -0.145 0.04569995 0 -0.07915997 0.04569995 5.00074e-4 -0.07916378 0.04609996 0.01296657 -0.08200252 0.04569995 9.99987e-4 -0.07917523 0.04609996 -0.02310824 -0.08889174 0.04569995 -5.00074e-4 -0.07916378 0.04569995 -9.99987e-4 -0.07917523 0.04589998 -9.99987e-4 -0.07925528 0.04609996 -9.99987e-4 -0.07933527 0.04609996 -0.01296657 -0.08200252 0.04609996 -0.0299974 -0.09903335 0.04569995 -0.03282475 -0.111 0.04609996 -0.03266459 -0.111 0.04589998 -0.03274464 -0.111 0.04609996 -0.0299974 -0.1249666 0.04569995 -0.03283995 -0.112 0.04569995 -0.03282475 -0.113 0.04589998 -0.03274464 -0.113 0.04609996 -0.03266459 -0.113 0.04609996 -0.02310824 -0.1351082 0.04609996 -0.01296657 -0.1419975 0.04569995 -9.99987e-4 -0.1448248 0.04569995 -5.00074e-4 -0.1448362 0.04569995 0 -0.14484 0.04529988 0.01431804 -0.1417319 0.04569995 9.99987e-4 -0.08099997 0.0464999 -9.99987e-4 -0.08099997 0.04569995 -9.99987e-4 -0.08099997 0.0464999 -9.99987e-4 -0.07917523 0.04629993 -9.99987e-4 -0.07925528 0.04689997 -0.01431804 -0.08226799 0.04689997 0 -0.07899999 0.04689997 -0.02580034 -0.09142482 0.04689997 -0.03217262 -0.1046568 0.04569995 -0.03099989 -0.111 0.04629993 -0.03274464 -0.111 0.0464999 -0.03099989 -0.113 0.04569995 -0.03099989 -0.113 0.04689997 -0.03217262 -0.1193432 0.0464999 -0.03282475 -0.113 0.04629993 -0.03274464 -0.113 0.04689997 -0.02580034 -0.1325752 0.04689997 -0.01431804 -0.1417319 0.04589998 -9.99987e-4 -0.1447446 0.04609996 -9.99987e-4 -0.1446647 0.04569995 -9.99987e-4 -0.143 0.04629993 -9.99987e-4 -0.1447446 0.04569995 5.00074e-4 -0.1448362 0.0464999 -5.00074e-4 -0.07916378 0.0464999 0 -0.07915997 0.04689997 0.01431804 -0.08226799 0.0464999 5.00074e-4 -0.07916378 0.0464999 -0.03283995 -0.112 0.0464999 -0.03282475 -0.111 0.0464999 0 -0.14484 0.04689997 0 -0.145 0.0464999 -5.00074e-4 -0.1448362 0.0464999 -9.99987e-4 -0.1448248 0.0464999 5.00074e-4 -0.1448362 0.04689997 0.01431804 -0.1417319 0.0464999 9.99987e-4 -0.1448248 0.04609996 0.01296657 -0.1419975 0.0464999 9.99987e-4 -0.143 0.0464999 -9.99987e-4 -0.143 0.0464999 -0.03099989 -0.111 0.04529988 0.02580034 -0.1325752 0.04529988 0.03217262 -0.1193432 0.04529988 0.03217262 -0.1046568 0.04529988 0.02580034 -0.09142482 0.04609996 0.02310824 -0.1351082 0.04569995 9.99987e-4 -0.1448248 0.04589998 9.99987e-4 -0.1447446 0.04609996 9.99987e-4 -0.1446647 0.04609996 0.0299974 -0.1249666 0.04569995 0.03282475 -0.113 0.04609996 0.03266459 -0.113 0.04589998 0.03274464 -0.113 0.04609996 0.0299974 -0.09903335 0.04569995 0.03283995 -0.112 0.04569995 0.03282475 -0.111 0.04589998 0.03274464 -0.111 0.04609996 0.03266459 -0.111 0.04609996 0.02310824 -0.08889174 0.04589998 9.99987e-4 -0.07925528 0.04609996 9.99987e-4 -0.07933527 0.04629993 9.99987e-4 -0.07925528 0.04569995 9.99987e-4 -0.143 0.04629993 9.99987e-4 -0.1447446 0.04689997 0.02580034 -0.1325752 0.04689997 0.03217262 -0.1193432 0.04569995 0.03099989 -0.113 0.04629993 0.03274464 -0.113 0.0464999 0.03099989 -0.111 0.04569995 0.03099989 -0.111 0.04689997 0.03217262 -0.1046568 0.04629993 0.03274464 -0.111 0.0464999 0.03282475 -0.111 0.04689997 0.02580034 -0.09142482 0.0464999 0.03283995 -0.112 0.0464999 0.03282475 -0.113 0.0464999 0.03099989 -0.113 0.0464999 9.99987e-4 -0.07917523 0.0464999 9.99987e-4 -0.08099997 -0.04939997 0.01247113 -0.1378878 -0.04939997 0.01410561 -0.1412814 -0.04939997 4.3863e-6 -0.1445 -0.04925352 4.3863e-6 -0.1448535 -0.04939997 4.3863e-6 -0.1407333 -0.04939997 -0.01409685 -0.1412814 -0.04889988 -0.01431369 -0.1417319 -0.04939997 0.02246898 -0.1299149 -0.04939997 0.02026778 -0.1374095 -0.04889988 0.01432245 -0.1417319 -0.04889988 4.3863e-6 -0.145 -0.04939997 0.02277272 -0.134769 -0.04939997 0.02541387 -0.1322634 -0.04939997 0.02157849 -0.1342738 -0.04939997 0.02227818 -0.1349738 -0.04939997 0.02178359 -0.134769 -0.04939997 0.03168952 -0.104768 -0.04939997 0.03168952 -0.1192319 -0.04889988 0.02580475 -0.1325752 -0.04939997 0.02801728 -0.1183937 -0.04939997 0.02297794 -0.1342738 -0.04889988 0.03217697 -0.1193432 -0.04939997 0.02801728 -0.1056063 -0.04939997 0.02541387 -0.09173655 -0.04889988 0.03217697 -0.1046568 -0.04939997 0.02277272 -0.08923089 -0.04939997 0.02026778 -0.08659046 -0.04889988 0.02580475 -0.09142482 -0.04939997 0.02246898 -0.09408509 -0.04939997 0.02297794 -0.08972609 -0.04939997 0.01247113 -0.08611208 -0.04939997 0.01410561 -0.08271855 -0.04939997 0.02157849 -0.08972609 -0.04939997 0.02227818 -0.08902609 -0.04939997 0.02178359 -0.08923089 -0.04939997 4.3863e-6 -0.08326667 -0.04939997 4.3863e-6 -0.07949995 -0.04889988 0.01432245 -0.08226799 -0.04939997 -0.01246237 -0.08611208 -0.04939997 -0.01409685 -0.08271855 -0.04925352 4.3863e-6 -0.07914644 -0.04939997 -0.02246022 -0.09408509 -0.04939997 -0.02025902 -0.08659046 -0.04889988 -0.01431369 -0.08226799 -0.04889988 4.3863e-6 -0.07899999 -0.04939997 -0.02276396 -0.08923089 -0.04939997 -0.02540504 -0.09173655 -0.04939997 -0.0215696 -0.08972609 -0.04939997 -0.02177482 -0.08923089 -0.04939997 -0.02226936 -0.08902609 -0.04939997 -0.0316807 -0.1192319 -0.04939997 -0.0316807 -0.104768 -0.04889988 -0.02579605 -0.09142482 -0.04939997 -0.02800852 -0.1056063 -0.04939997 -0.02296918 -0.08972609 -0.04889988 -0.03216814 -0.1046568 -0.04939997 -0.02800852 -0.1183937 -0.04939997 -0.02540504 -0.1322634 -0.04889988 -0.03216814 -0.1193432 -0.04939997 -0.02276396 -0.134769 -0.04939997 -0.02025902 -0.1374095 -0.04889988 -0.02579605 -0.1325752 -0.04939997 -0.02246022 -0.1299149 -0.04939997 -0.02296918 -0.1342738 -0.04939997 -0.01246237 -0.1378878 -0.04939997 -0.0215696 -0.1342738 -0.04939997 -0.02177482 -0.134769 -0.04939997 -0.02226936 -0.1349738 -0.04899996 4.3863e-6 -0.1407333 -0.04899996 0.01247113 -0.1378878 -0.04939997 -0.02177482 -0.1337786 -0.04899996 -0.01246237 -0.1378878 -0.04899996 -0.02246022 -0.1299149 -0.04939997 -0.02226936 -0.1335738 -0.04939997 -0.02276396 -0.1337786 -0.04899996 -0.02800852 -0.1183937 -0.04939997 -0.02276396 -0.09022134 -0.04899996 -0.02800852 -0.1056063 -0.04899996 -0.02246022 -0.09408509 -0.04939997 -0.02177482 -0.09022134 -0.04939997 -0.02226936 -0.09042614 -0.04899996 -0.01246237 -0.08611208 -0.04899996 4.3863e-6 -0.08326667 -0.04939997 0.02178359 -0.09022134 -0.04899996 0.01247113 -0.08611208 -0.04899996 0.02246898 -0.09408509 -0.04939997 0.02277272 -0.09022134 -0.04939997 0.02227818 -0.09042614 -0.04899996 0.02801728 -0.1056063 -0.04939997 0.02277272 -0.1337786 -0.04899996 0.02801728 -0.1183937 -0.04899996 0.02246898 -0.1299149 -0.04939997 0.02227818 -0.1335738 -0.04939997 0.02178359 -0.1337786 -0.04869997 0.02227818 -0.1335738 -0.04869997 0.02178323 -0.1337789 -0.04869997 0.0227732 -0.1337789 -0.04869997 0.02297824 -0.1342738 -0.04869997 0.0227732 -0.1347688 -0.04869997 0.02227818 -0.1349738 -0.04869997 0.02178323 -0.1347688 -0.04869997 0.02157825 -0.1342738 -0.04869997 0.02227818 -0.08902609 -0.04869997 0.02178323 -0.08923113 -0.04869997 0.0227732 -0.08923113 -0.04869997 0.02297824 -0.08972609 -0.04869997 0.0227732 -0.0902211 -0.04869997 0.02227818 -0.09042614 -0.04869997 0.02178323 -0.0902211 -0.04869997 0.02157825 -0.08972609 -0.04869997 -0.02226936 -0.08902609 -0.04869997 -0.02276444 -0.08923113 -0.04869997 -0.02177447 -0.08923113 -0.04869997 -0.02156943 -0.08972609 -0.04869997 -0.02177447 -0.0902211 -0.04869997 -0.02226936 -0.09042614 -0.04869997 -0.02276444 -0.0902211 -0.04869997 -0.02296942 -0.08972609 -0.04869997 -0.02226936 -0.1335738 -0.04869997 -0.02276444 -0.1337789 -0.04869997 -0.02177447 -0.1337789 -0.04869997 -0.02156943 -0.1342738 -0.04869997 -0.02177447 -0.1347688 -0.04869997 -0.02226936 -0.1349738 -0.04869997 -0.02276444 -0.1347688 -0.04869997 -0.02296942 -0.1342738 -0.04899996 4.3863e-6 -0.1405 -0.04899996 0.01236993 -0.1376776 -0.04899996 -0.02227783 -0.1297694 -0.04899996 -0.0123611 -0.1376776 -0.04899996 -0.027781 -0.1183418 -0.04899996 -0.027781 -0.1056582 -0.04899996 -0.02227783 -0.09423053 -0.04899996 -0.0123611 -0.0863223 -0.04899996 4.3863e-6 -0.08349996 -0.04899996 0.02228659 -0.1297694 -0.04899996 0.02778983 -0.1183418 -0.04899996 0.02778983 -0.1056582 -0.04899996 0.02228659 -0.09423053 -0.04899996 0.01236993 -0.0863223 -0.04939997 4.3863e-6 -0.1405 -0.04939997 0.01236993 -0.1376776 -0.04939997 -0.0123611 -0.1376776 -0.04939997 -0.02227783 -0.1297694 -0.04939997 -0.027781 -0.1183418 -0.04939997 -0.027781 -0.1056582 -0.04939997 -0.02227783 -0.09423053 -0.04939997 -0.0123611 -0.0863223 -0.04939997 4.3863e-6 -0.08349996 -0.04939997 0.01236993 -0.0863223 -0.04939997 0.02228659 -0.09423053 -0.04939997 0.02778983 -0.1056582 -0.04939997 0.02778983 -0.1183418 -0.04939997 0.02228659 -0.1297694 -0.04939997 4.3863e-6 -0.1375 -0.04939997 0.01275438 -0.1340836 -0.04939997 -0.01274555 -0.1340836 -0.04939997 -0.02549552 -0.112 -0.04939997 -0.02207916 -0.12475 -0.04939997 -0.02207916 -0.09924995 -0.04939997 -0.01274555 -0.08991634 -0.04939997 4.3863e-6 -0.08649998 -0.04939997 0.02208799 -0.12475 -0.04939997 0.02550435 -0.112 -0.04939997 0.01275438 -0.08991634 -0.04939997 0.02208799 -0.09924995 -0.04925352 4.3863e-6 -0.1371464 -0.04889988 0.01250427 -0.1336506 -0.04889988 -0.01249551 -0.1336506 -0.04889988 4.3863e-6 -0.137 -0.04889988 -0.0216462 -0.1245 -0.04889988 -0.02499556 -0.112 -0.04889988 -0.0216462 -0.0995 -0.04889988 -0.01249551 -0.09034937 -0.04925352 4.3863e-6 -0.08685356 -0.04889988 0.01250427 -0.09034937 -0.04889988 4.3863e-6 -0.08699995 -0.04889988 0.02165502 -0.0995 -0.04889988 0.02500432 -0.112 -0.04889988 0.02165502 -0.1245 -0.04189991 4.3863e-6 -0.137 -0.04189991 0.01250427 -0.1336506 -0.04189991 -0.01249551 -0.1336506 -0.04189991 -0.0216462 -0.1245 -0.04189991 -0.02499556 -0.112 -0.04189991 -0.0216462 -0.0995 -0.04189991 -0.01249551 -0.09034937 -0.04189991 4.3863e-6 -0.08699995 -0.0415464 4.3863e-6 -0.1371464 -0.04139989 0.01275438 -0.1340836 -0.04139989 -0.01274555 -0.1340836 -0.04139989 4.3863e-6 -0.1375 -0.04139989 -0.02207916 -0.12475 -0.04139989 -0.02549552 -0.112 -0.04139989 -0.02207916 -0.09924995 -0.04139989 -0.01274555 -0.08991634 -0.0415464 4.3863e-6 -0.08685356 -0.04189991 0.01250427 -0.09034937 -0.04139989 4.3863e-6 -0.1405 -0.04139989 0.01236993 -0.1376776 -0.04139989 -0.0123611 -0.1376776 -0.04139989 -0.02227783 -0.1297694 -0.04139989 -0.02227783 -0.09423053 -0.04139989 -0.027781 -0.1056582 -0.04139989 4.3863e-6 -0.08649998 -0.04139989 -0.0123611 -0.0863223 -0.04139989 4.3863e-6 -0.08349996 -0.04139989 0.01275438 -0.08991634 -0.04139989 0.02228659 -0.1297694 -0.04139989 0.02208799 -0.12475 -0.04139989 0.02550435 -0.112 -0.04189991 0.02165502 -0.1245 -0.04139989 0.02228659 -0.09423053 -0.04139989 0.02208799 -0.09924995 -0.04189991 0.02500432 -0.112 -0.04139989 0.02778983 -0.1183418 -0.04139989 0.01236993 -0.0863223 -0.04189991 0.02165502 -0.0995 -0.04179996 4.3863e-6 -0.1405 -0.04179996 0.01236993 -0.1376776 -0.04179996 -0.0123611 -0.1376776 -0.04139989 -0.027781 -0.1183418 -0.04179996 -0.02227783 -0.1297694 -0.04179996 -0.027781 -0.1183418 -0.04179996 -0.027781 -0.1056582 -0.04179996 -0.02227783 -0.09423053 -0.04179996 -0.0123611 -0.0863223 -0.04179996 4.3863e-6 -0.08349996 -0.04179996 0.01236993 -0.0863223 -0.04139989 0.02778983 -0.1056582 -0.04179996 0.02228659 -0.09423053 -0.04179996 0.02778983 -0.1056582 -0.04179996 0.02778983 -0.1183418 -0.04179996 0.02228659 -0.1297694 -0.04179996 4.3863e-6 -0.1407333 -0.04179996 0.01247113 -0.1378878 -0.04179996 -0.01246237 -0.1378878 -0.04179996 -0.02246022 -0.1299149 -0.04179996 -0.02800852 -0.1056063 -0.04179996 -0.02800852 -0.1183937 -0.04179996 -0.02246022 -0.09408509 -0.04179996 -0.01246237 -0.08611208 -0.04179996 4.3863e-6 -0.08326667 -0.04179996 0.02246898 -0.1299149 -0.04179996 0.02801728 -0.1183937 -0.04179996 0.02246898 -0.09408509 -0.04179996 0.02801728 -0.1056063 -0.04179996 0.01247113 -0.08611208 -0.04139989 4.3863e-6 -0.1407333 -0.04139989 0.01247113 -0.1378878 -0.04139989 -0.01246237 -0.1378878 -0.04139989 -0.02246022 -0.1299149 -0.04139989 -0.02800852 -0.1183937 -0.04139989 -0.02800852 -0.1056063 -0.04139989 -0.02246022 -0.09408509 -0.04139989 -0.01246237 -0.08611208 -0.04139989 4.3863e-6 -0.08326667 -0.04139989 0.01247113 -0.08611208 -0.04139989 0.02246898 -0.09408509 -0.04139989 0.02801728 -0.1056063 -0.04139989 0.02801728 -0.1183937 -0.04139989 0.02246898 -0.1299149 -0.04139989 4.3863e-6 -0.1445 -0.04139989 0.01410561 -0.1412814 -0.04139989 -0.01409685 -0.1412814 -0.04139989 -0.02276396 -0.1337786 -0.04139989 -0.02025902 -0.1374095 -0.04139989 -0.0215696 -0.1342738 -0.04139989 -0.02226936 -0.1335738 -0.04139989 -0.02177482 -0.1337786 -0.04139989 -0.0316807 -0.104768 -0.04139989 -0.02540504 -0.1322634 -0.04139989 -0.02296918 -0.1342738 -0.04139989 -0.02540504 -0.09173655 -0.04139989 -0.02177482 -0.09022134 -0.04139989 -0.02296918 -0.08972609 -0.04139989 -0.02276396 -0.09022134 -0.04139989 -0.02226936 -0.09042614 -0.04139989 -0.01409685 -0.08271855 -0.04139989 -0.02025902 -0.08659046 -0.04139989 -0.0215696 -0.08972609 -0.04139989 4.3863e-6 -0.07949995 -0.04139989 0.02178359 -0.1337786 -0.04139989 0.02026778 -0.1374095 -0.04139989 0.02157849 -0.1342738 -0.04139989 0.02541387 -0.1322634 -0.04139989 0.02297794 -0.1342738 -0.04139989 0.02227818 -0.1335738 -0.04139989 0.02277272 -0.1337786 -0.04139989 0.03168952 -0.1192319 -0.04139989 0.02277272 -0.09022134 -0.04139989 0.02541387 -0.09173655 -0.04139989 0.02297794 -0.08972609 -0.04139989 0.01410561 -0.08271855 -0.04139989 0.02026778 -0.08659046 -0.04139989 0.02157849 -0.08972609 -0.04139989 0.02178359 -0.09022134 -0.04139989 0.02227818 -0.09042614 -0.0415464 4.3863e-6 -0.1448535 -0.04189991 0.01432245 -0.1417319 -0.04189991 -0.01431369 -0.1417319 -0.04189991 4.3863e-6 -0.145 -0.04139989 -0.02276396 -0.134769 -0.04139989 -0.02226936 -0.1349738 -0.04139989 -0.02177482 -0.134769 -0.04139989 -0.0316807 -0.1192319 -0.04189991 -0.02579605 -0.1325752 -0.04189991 -0.03216814 -0.1193432 -0.04189991 -0.03216814 -0.1046568 -0.04139989 -0.02276396 -0.08923089 -0.04189991 -0.02579605 -0.09142482 -0.04139989 -0.02226936 -0.08902609 -0.04139989 -0.02177482 -0.08923089 -0.04189991 -0.01431369 -0.08226799 -0.0415464 4.3863e-6 -0.07914644 -0.04189991 0.01432245 -0.08226799 -0.04189991 4.3863e-6 -0.07899999 -0.04139989 0.02277272 -0.08923089 -0.04139989 0.02178359 -0.08923089 -0.04139989 0.02227818 -0.08902609 -0.04139989 0.03168952 -0.104768 -0.04189991 0.02580475 -0.09142482 -0.04189991 0.03217697 -0.1046568 -0.04189991 0.03217697 -0.1193432 -0.04139989 0.02277272 -0.134769 -0.04189991 0.02580475 -0.1325752 -0.04139989 0.02178359 -0.134769 -0.04139989 0.02227818 -0.1349738 -0.04209995 0.02227818 -0.1335738 -0.04209995 0.0227732 -0.1337789 -0.04209995 0.02178323 -0.1337789 -0.04209995 0.02157825 -0.1342738 -0.04209995 0.02178323 -0.1347688 -0.04209995 0.02227818 -0.1349738 -0.04209995 0.0227732 -0.1347688 -0.04209995 0.02297824 -0.1342738 -0.04209995 0.02227818 -0.08902609 -0.04209995 0.0227732 -0.08923113 -0.04209995 0.02178323 -0.08923113 -0.04209995 0.02157825 -0.08972609 -0.04209995 0.02178323 -0.0902211 -0.04209995 0.02227818 -0.09042614 -0.04209995 0.0227732 -0.0902211 -0.04209995 0.02297824 -0.08972609 -0.04209995 -0.02226936 -0.08902609 -0.04209995 -0.02177447 -0.08923113 -0.04209995 -0.02276444 -0.08923113 -0.04209995 -0.02296942 -0.08972609 -0.04209995 -0.02276444 -0.0902211 -0.04209995 -0.02226936 -0.09042614 -0.04209995 -0.02177447 -0.0902211 -0.04209995 -0.02156943 -0.08972609 -0.04209995 -0.02226936 -0.1335738 -0.04209995 -0.02177447 -0.1337789 -0.04209995 -0.02276444 -0.1337789 -0.04209995 -0.02296942 -0.1342738 -0.04209995 -0.02276444 -0.1347688 -0.04209995 -0.02226936 -0.1349738 -0.04209995 -0.02177447 -0.1347688 -0.04209995 -0.02156943 -0.1342738 -0.04459995 4.3863e-6 -0.145 -0.04459995 0.01432245 -0.1417319 -0.04459995 -0.01431369 -0.1417319 -0.04459995 -0.02579605 -0.1325752 -0.04459995 -0.03216814 -0.1193432 -0.04459995 -0.03216814 -0.1046568 -0.04459995 -0.02579605 -0.09142482 -0.04459995 -0.01431369 -0.08226799 -0.04459995 4.3863e-6 -0.07899999 -0.04499989 4.3863e-6 -0.14484 -0.04499989 5.0446e-4 -0.1448362 -0.04539996 0.01297098 -0.1419975 -0.04499989 0.001004338 -0.1448248 -0.04539996 -0.02310383 -0.1351082 -0.04499989 -4.95688e-4 -0.1448362 -0.04499989 -9.95614e-4 -0.1448248 -0.04519999 -9.95614e-4 -0.1447446 -0.04539996 -9.95614e-4 -0.1446647 -0.04539996 -0.01296222 -0.1419975 -0.04539996 -0.02999299 -0.1249666 -0.04499989 -0.03282034 -0.113 -0.04539996 -0.0326603 -0.113 -0.04519999 -0.03274029 -0.113 -0.04539996 -0.02999299 -0.09903335 -0.04499989 -0.0328356 -0.112 -0.04499989 -0.03282034 -0.111 -0.04519999 -0.03274029 -0.111 -0.04539996 -0.0326603 -0.111 -0.04539996 -0.02310383 -0.08889174 -0.04539996 -0.01296222 -0.08200252 -0.04499989 -9.95614e-4 -0.07917523 -0.04499989 -4.95688e-4 -0.07916378 -0.04499989 4.3863e-6 -0.07915997 -0.04459995 0.01432245 -0.08226799 -0.04499989 0.001004338 -0.143 -0.04579997 -9.95614e-4 -0.143 -0.04499989 -9.95614e-4 -0.143 -0.04579997 -9.95614e-4 -0.1448248 -0.04559987 -9.95614e-4 -0.1447446 -0.04619991 -0.01431369 -0.1417319 -0.04619991 4.3863e-6 -0.145 -0.04619991 -0.02579605 -0.1325752 -0.04619991 -0.03216814 -0.1193432 -0.04499989 -0.03099554 -0.113 -0.04559987 -0.03274029 -0.113 -0.04579997 -0.03099554 -0.111 -0.04499989 -0.03099554 -0.111 -0.04619991 -0.03216814 -0.1046568 -0.04579997 -0.03282034 -0.111 -0.04559987 -0.03274029 -0.111 -0.04619991 -0.02579605 -0.09142482 -0.04619991 -0.01431369 -0.08226799 -0.04519999 -9.95614e-4 -0.07925528 -0.04539996 -9.95614e-4 -0.07933527 -0.04499989 -9.95614e-4 -0.08099997 -0.04559987 -9.95614e-4 -0.07925528 -0.04499989 5.0446e-4 -0.07916378 -0.04579997 -4.95688e-4 -0.1448362 -0.04579997 4.3863e-6 -0.14484 -0.04619991 0.01432245 -0.1417319 -0.04579997 5.0446e-4 -0.1448362 -0.04579997 -0.0328356 -0.112 -0.04579997 -0.03282034 -0.113 -0.04579997 4.3863e-6 -0.07915997 -0.04619991 4.3863e-6 -0.07899999 -0.04579997 -4.95688e-4 -0.07916378 -0.04579997 -9.95614e-4 -0.07917523 -0.04579997 5.0446e-4 -0.07916378 -0.04619991 0.01432245 -0.08226799 -0.04579997 0.001004338 -0.07917523 -0.04539996 0.01297098 -0.08200252 -0.04579997 0.001004338 -0.08099997 -0.04579997 -9.95614e-4 -0.08099997 -0.04579997 -0.03099554 -0.113 -0.04459995 0.02580475 -0.09142482 -0.04459995 0.03217697 -0.1046568 -0.04459995 0.03217697 -0.1193432 -0.04459995 0.02580475 -0.1325752 -0.04539996 0.02311259 -0.08889174 -0.04499989 0.001004338 -0.07917523 -0.04519999 0.001004338 -0.07925528 -0.04539996 0.001004338 -0.07933527 -0.04539996 0.03000175 -0.09903335 -0.04499989 0.03282904 -0.111 -0.04539996 0.032669 -0.111 -0.04519999 0.03274899 -0.111 -0.04539996 0.03000175 -0.1249666 -0.04499989 0.03284436 -0.112 -0.04499989 0.03282904 -0.113 -0.04519999 0.03274899 -0.113 -0.04539996 0.032669 -0.113 -0.04539996 0.02311259 -0.1351082 -0.04519999 0.001004338 -0.1447446 -0.04539996 0.001004338 -0.1446647 -0.04559987 0.001004338 -0.1447446 -0.04499989 0.001004338 -0.08099997 -0.04559987 0.001004338 -0.07925528 -0.04619991 0.02580475 -0.09142482 -0.04619991 0.03217697 -0.1046568 -0.04499989 0.0310043 -0.111 -0.04559987 0.03274899 -0.111 -0.04579997 0.0310043 -0.113 -0.04499989 0.0310043 -0.113 -0.04619991 0.03217697 -0.1193432 -0.04559987 0.03274899 -0.113 -0.04579997 0.03282904 -0.113 -0.04619991 0.02580475 -0.1325752 -0.04579997 0.03284436 -0.112 -0.04579997 0.03282904 -0.111 -0.04579997 0.0310043 -0.111 -0.04579997 0.001004338 -0.1448248 -0.04579997 0.001004338 -0.143 0.01758831 0.05108577 -0.02131962 0.01758509 0.07949995 -0.02073395 0.01758509 0.05249989 -0.02073395 0.01608514 0.05249989 -0.02074211 0.01608842 0.05108577 -0.02132797 0.01763474 0.08162868 -0.02973371 0.01758188 0.08091419 -0.02014809 0.01608514 0.07949995 -0.02074211 0.01763474 0.05249989 -0.02973371 0.01763159 0.05108577 -0.02914798 0.01762378 0.05049991 -0.0277338 0.01759618 0.05049991 -0.0227338 0.01757413 0.08149999 -0.01873391 0.01608192 0.08091419 -0.02015644 0.01740306 0.08162868 0.0122655 0.01748579 0.08149999 -0.002734184 0.01607418 0.08149999 -0.0187422 0.01747798 0.08091419 -0.001320004 0.01598578 0.08149999 -0.002742469 0.01747483 0.07949995 -7.34252e-4 0.01597797 0.08091419 -0.001328289 0.01747483 0.05249989 -7.34252e-4 0.01597476 0.07949995 -7.42529e-4 0.01747155 0.05108577 -1.48475e-4 0.01597476 0.05249989 -7.42529e-4 0.0174638 0.05049991 0.001265645 0.0159716 0.05108577 -1.56752e-4 0.01741409 0.05049991 0.01026546 0.01596379 0.05049991 0.001257359 0.01740628 0.05108577 0.0116797 0.01591414 0.05049991 0.0102573 0.01740306 0.05249989 0.0122655 0.01590633 0.05108577 0.01167148 0.01590311 0.05249989 0.01225715 0.01740616 0.0827766 -0.02973496 0.01590311 0.08162868 0.01225715 0.01717442 0.0827766 0.01226425 0.01613479 0.08162868 -0.02974206 0.01613479 0.05249989 -0.02974206 0.01613157 0.05108577 -0.0291562 0.01612383 0.05049991 -0.02774202 0.01609623 0.05049991 -0.02274215 0.01165318 0.08862131 0.01223379 0.01652443 0.08375 0.01226061 0.01675611 0.08375 -0.02973866 0.01188486 0.08862131 -0.02976542 0.01082426 0.08756065 -0.02977132 0.01569551 0.08268934 -0.0297445 0.0154637 0.08268934 0.01225483 0.01578879 0.08220261 0.01225662 0.01091152 0.0892713 -0.02977091 0.01059252 0.08756065 0.01222795 0.01067978 0.0892713 0.01222836 0.008926391 0.08950001 -0.0294888 0.009763598 0.08950001 -0.02977716 0.009634971 0.08950001 -0.02977794 0.009763598 0.08799999 -0.02977716 0.008926391 0.08799999 -0.0294888 0.009634971 0.08799999 -0.02977794 0.006403267 0.08950001 0.01220476 0.009531855 0.08950001 0.01222211 0.008618414 0.08950001 -0.02678346 0.008629441 0.08950001 -0.02878344 0.009531855 0.08799999 0.01222211 0.01010578 0.08788561 0.01222527 -0.006504535 0.08950001 0.01878362 0.006366491 0.08950001 0.01885467 0.006403267 0.08799999 0.01220476 -0.006492674 0.08950001 0.01663368 -0.006781816 0.08950001 0.0159251 -0.007487118 0.08950001 0.01562815 0.007612884 0.08950001 -0.02578902 0.008321464 0.08950001 -0.02607816 -0.006516218 0.08862131 0.02090495 0.006366491 0.08799999 0.01885467 0.006354868 0.08862131 0.02097594 -0.006504535 0.08799999 0.01878362 -0.006492674 0.08799999 0.01663368 -0.006781816 0.08799999 0.0159251 -0.008195698 0.08950001 0.01591736 -0.007487118 0.08799999 0.01562815 -0.008492648 0.08950001 0.01662272 -0.008195698 0.08799999 0.01591736 -0.009269118 0.08950001 0.02008861 -0.008506417 0.08950001 0.01912266 -0.008492648 0.08799999 0.01662272 -0.007258117 0.08950001 -0.02587103 -0.008722186 0.08950001 0.01973742 -0.008506417 0.08799999 0.01912266 -0.008722186 0.08799999 0.01973742 -0.008450508 0.08950001 -0.02949357 -0.008993566 0.08950001 -0.02985084 -0.009113907 0.08949756 -0.02987384 -0.008241534 0.08950001 -0.02887654 -0.00825262 0.08950001 -0.0268765 -0.007963418 0.08950001 -0.02616798 -0.009269118 0.08799999 0.02008861 -0.009389758 0.08949756 0.02011024 -0.008993566 0.08799999 -0.02985084 -0.009114205 0.08799511 -0.0298739 -0.008450508 0.08799999 -0.02949357 -0.008241534 0.08799999 -0.02887654 -0.00825262 0.08799999 -0.0268765 -0.007963418 0.08799999 -0.02616798 0.006907582 0.08950001 -0.02608597 -0.006549537 0.08950001 -0.02616024 -0.007258117 0.08799999 -0.02587103 0.00661844 0.08950001 -0.02679455 -0.006252646 0.08950001 -0.02686554 -0.006549537 0.08799999 -0.02616024 0.006627559 0.08950001 -0.02844446 -0.006243467 0.08950001 -0.02851545 -0.006252646 0.08799999 -0.02686554 0.006639242 0.08862131 -0.03056573 -0.006243467 0.08799999 -0.02851545 -0.006231844 0.08862131 -0.03063678 0.006627559 0.08799999 -0.02844446 0.00661844 0.08799999 -0.02679455 0.006907582 0.08799999 -0.02608597 0.007612884 0.08799999 -0.02578902 0.008321464 0.08799999 -0.02607816 0.008618414 0.08799999 -0.02678346 0.008629441 0.08799999 -0.02878344 -0.01626181 0.08375 0.02007991 -0.0113905 0.08862131 0.02010673 -0.01111459 0.08862131 -0.02989244 -0.01052838 0.08922266 0.0201115 -0.0159859 0.08375 -0.02991932 -0.0149253 0.08268934 -0.02991348 -0.01005405 0.08756065 -0.0298866 -0.01025259 0.08922266 -0.02988767 -0.01032996 0.08756065 0.02011263 -0.009953856 0.08783459 0.02011466 -0.009511947 0.08798021 0.0201171 -0.01663595 0.0827766 -0.0299229 -0.01520121 0.08268934 0.02008575 -0.0169118 0.0827766 0.02007627 -0.01686453 0.08162868 -0.02992415 -0.01687562 0.05049991 -0.02792418 -0.01696944 0.05049991 -0.01092439 -0.01546943 0.05049991 -0.01091617 -0.01697725 0.05108577 -0.009510278 -0.01547724 0.05108577 -0.009501993 -0.01686781 0.05108577 -0.0293383 -0.01537567 0.05049991 -0.02791589 -0.01686453 0.05249989 -0.02992415 -0.0153678 0.05108577 -0.02933007 -0.01536452 0.05249989 -0.0299158 -0.01707977 0.08149999 0.009075224 -0.01714044 0.08162868 0.02007502 -0.01699149 0.08149999 -0.00692451 -0.01698362 0.08091419 -0.008338689 -0.0169804 0.07949995 -0.008924484 -0.0169804 0.05249989 -0.008924484 -0.01536452 0.08162868 -0.0299158 -0.01709079 0.07949995 0.01107513 -0.01714044 0.05249989 0.02007502 -0.01564043 0.08162868 0.02008324 -0.01708751 0.08091419 0.0104894 -0.01552611 0.08220261 0.02008396 -0.01713722 0.05108577 0.01948916 -0.01564043 0.05249989 0.02008324 -0.01712948 0.05049991 0.01807498 -0.01563721 0.05108577 0.01949751 -0.01710188 0.05049991 0.01307511 -0.01562947 0.05049991 0.01808333 -0.01709407 0.05108577 0.01166093 -0.01560187 0.05049991 0.01308333 -0.01709079 0.05249989 0.01107513 -0.015594 0.05108577 0.01166915 -0.01559078 0.05249989 0.01108342 -0.01559078 0.07949995 0.01108342 -0.01558756 0.08091419 0.01049762 -0.01557976 0.08149999 0.009083449 -0.01549148 0.08149999 -0.006916165 -0.01548367 0.08091419 -0.008330404 -0.01548045 0.07949995 -0.008916199 -0.01548045 0.05249989 -0.008916199 0.01676404 0.03595703 0.02191209 -0.01514965 0.0353713 0.02173602 0.01534986 0.0353713 0.02190428 0.01535815 0.0353713 0.02040427 0.01677227 0.03595703 0.02041208 -0.01656383 0.03595703 0.02172815 -0.0151413 0.0353713 0.02023607 0.01734977 0.03737121 0.02191537 -0.01714956 0.03737121 0.02172493 -0.01655548 0.03595703 0.0202282 -0.00963968 0.04875105 0.02176642 -0.01714956 0.08087128 0.02172493 -0.01714134 0.03737121 0.02022498 0.008639931 0.04124146 0.02186733 -0.005159795 0.04099148 0.02179116 -0.00963968 0.04099148 0.02176642 -0.01187968 0.04487127 0.02175408 0.01676404 0.08228552 0.02191209 -0.01656383 0.08228552 0.02172815 -0.01714134 0.08087128 0.02022498 0.01734977 0.08087128 0.02191537 -0.00852102 0.08287131 0.02177262 -0.01514965 0.08287131 0.02173602 -0.01655548 0.08228552 0.0202282 0.008349955 0.08287131 0.02186572 0.01534986 0.08287131 0.02190428 -0.0151413 0.08287131 0.02023607 0.006935775 0.08345711 0.02185785 -0.00710684 0.08345711 0.02178043 -0.008512794 0.08287131 0.02027267 0.006349921 0.08487129 0.02185463 -0.006521046 0.08487129 0.02178359 -0.007098555 0.08345711 0.02028042 0.006349921 0.08649998 0.02185463 -0.006521046 0.08649998 0.02178359 -0.006512761 0.08487129 0.02028363 -0.006512761 0.08649998 0.02028363 0.006358206 0.08649998 0.02035462 0.006358206 0.08487129 0.02035462 0.00694406 0.08345711 0.02035784 0.00835824 0.08287131 0.02036571 0.01535815 0.08287131 0.02040427 0.01677227 0.08228552 0.02041208 0.01087993 0.04512131 0.02187967 0.01735812 0.08087128 0.02041542 0.008639931 0.04900103 0.02186733 0.004160046 0.04900103 0.02184253 0.01735812 0.03737121 0.02041542 -0.002919793 0.04487127 0.02180349 0.004160046 0.04124146 0.02184253 0.001920044 0.04512131 0.02183026 0.00342828 0.04512131 0.02033853 -0.005159795 0.04875105 0.02179116 0.004917919 0.04770159 0.02034676 0.004917919 0.0425409 0.02034676 0.007898628 0.0425409 0.02036321 0.009388208 0.04512131 0.02037137 0.007898628 0.04770159 0.02036321 -0.01037138 0.04487127 0.02026236 -0.008881807 0.04745161 0.02027058 -0.008881807 0.04229098 0.02027058 -0.005901098 0.04229098 0.02028697 -0.004411518 0.04487127 0.02029526 -0.005901098 0.04745161 0.02028697 0.00893408 0.04900103 -0.03143179 0.01764386 0.08087128 -0.03138375 0.01764386 0.03737121 -0.03138375 0.01763564 0.03737121 -0.0298838 0.01705813 0.03595703 -0.03138697 -0.01685541 0.03737121 -0.03157413 -0.009345591 0.04099148 -0.0315327 0.01704984 0.03595703 -0.02988702 -0.004865646 0.04099148 -0.0315079 0.004454076 0.04124146 -0.03145653 0.01117402 0.04512131 -0.03141939 0.00893408 0.04124146 -0.03143179 -0.01626968 0.08228552 -0.03157091 0.01705813 0.08228552 -0.03138697 0.01763564 0.08087128 -0.0298838 -0.01685541 0.08087128 -0.03157413 0.008644044 0.08287131 -0.0314334 0.01564395 0.08287131 -0.03139472 0.01704984 0.08228552 -0.02988702 -0.008226931 0.08287131 -0.03152644 -0.0148555 0.08287131 -0.0315631 0.0156356 0.08287131 -0.02989476 -0.006812751 0.08345711 -0.03151863 0.007229864 0.08345711 -0.03144121 0.008635818 0.08287131 -0.02993345 -0.006226897 0.08487129 -0.03151541 0.00664407 0.08487129 -0.03144443 0.007221579 0.08345711 -0.02994126 -0.006226897 0.08649998 -0.03151541 0.00664407 0.08649998 -0.03144443 0.006635785 0.08487129 -0.02994441 0.006635785 0.08649998 -0.02994441 -0.006235182 0.08649998 -0.03001546 -0.006237685 0.08756029 -0.02957582 -0.006235182 0.08487129 -0.03001546 -0.006821036 0.08345711 -0.03001868 -0.008235216 0.08287131 -0.03002655 -0.01486372 0.08287131 -0.03006309 -0.0162779 0.08228552 -0.0300709 -0.01158559 0.04487127 -0.03154504 -0.01686376 0.08087128 -0.03007411 -0.009345591 0.04875105 -0.0315327 -0.004865646 0.04875105 -0.0315079 0.004454076 0.04900103 -0.03145653 -0.01626968 0.03595703 -0.03157091 -0.01686376 0.03737121 -0.03007411 0.01564395 0.0353713 -0.03139472 -0.0148555 0.0353713 -0.0315631 -0.0162779 0.03595703 -0.0300709 -0.01486372 0.0353713 -0.03006309 0.0156356 0.0353713 -0.02989476 -0.0100938 0.04487127 -0.03003674 -0.008604228 0.04229098 -0.03002858 -0.008604228 0.04745161 -0.03002858 0.002214193 0.04512131 -0.03146886 -0.002625644 0.04487127 -0.03149563 -0.005623579 0.04745161 -0.03001213 -0.00413388 0.04487127 -0.0300039 -0.005623579 0.04229098 -0.03001213 0.003705859 0.04512131 -0.02996063 0.005195498 0.0425409 -0.02995234 0.005195498 0.04770159 -0.02995234 0.008176147 0.04770159 -0.02993595 0.009665787 0.04512131 -0.02992779 0.008176147 0.0425409 -0.02993595 0.01602053 0.08220261 -0.02974265 0.01033759 0.08788561 -0.02977401 0.006633341 0.08756029 -0.02950477 -0.009390056 0.08799511 0.0201103 0.006360709 0.08756029 0.01991498 -0.006510317 0.08756029 0.01984399 -0.009677946 0.08783459 -0.02988445 -0.0152502 0.08220261 -0.02991527 -0.009236037 0.08949017 -0.02988207 -0.009511947 0.08949017 0.0201171 -0.009511947 0.08873188 0.0201171 -0.009236037 0.08873188 -0.02988207 -0.009236037 0.08798021 -0.02988207 -0.05339998 -0.009693145 -0.09865105 -0.05339998 4.3863e-6 -0.09549999 -0.05939996 4.3863e-6 -0.09549999 -0.05339998 0.01235353 -0.09715074 -0.05339998 0.009701907 -0.09865105 -0.05939996 0.009701907 -0.09865105 -0.05339998 0.01360356 -0.09498566 -0.05339998 -0.01359474 -0.09498566 -0.05339998 -0.01903164 -0.1050056 -0.05339998 -0.0156883 -0.1069028 -0.05939996 -0.009693145 -0.09865105 -0.05339998 -0.01847559 -0.1029283 -0.05339998 -0.01999491 -0.101409 -0.05339998 -0.01359474 -0.09931582 -0.05339998 -0.02849555 -0.112 -0.05339998 -0.0156883 -0.1170971 -0.05939996 -0.0156883 -0.1069028 -0.05339998 -0.02110892 -0.1055616 -0.05339998 -0.01359474 -0.1246842 -0.05339998 -0.009693145 -0.1253489 -0.05939996 -0.0156883 -0.1170971 -0.05339998 -0.0194776 -0.1186527 -0.05339998 -0.01840192 -0.1205147 -0.05339998 -0.0194776 -0.1223767 -0.05339998 -0.02162623 -0.1186527 -0.05339998 -0.02753454 -0.1193368 -0.05339998 -0.0160948 -0.1246842 -0.05339998 -0.01234477 -0.1268492 -0.05339998 4.3863e-6 -0.1285 -0.05939996 -0.009693145 -0.1253489 -0.05339998 0.009701907 -0.1253489 -0.05939996 4.3863e-6 -0.1285 -0.05339998 0.01360356 -0.1290143 -0.05339998 -0.01359474 -0.1290143 -0.05339998 0.0190404 -0.1189944 -0.05339998 0.01569712 -0.1170971 -0.05939996 0.009701907 -0.1253489 -0.05339998 0.01848435 -0.1210716 -0.05339998 0.02000367 -0.122591 -0.05339998 0.01360356 -0.1246842 -0.05339998 0.02849996 -0.1125 -0.05339998 0.01569712 -0.1069028 -0.05939996 0.01569712 -0.1170971 -0.05339998 0.02111762 -0.1184384 -0.05339998 0.01360356 -0.09931582 -0.05939996 0.01569712 -0.1069028 -0.05339998 0.0194863 -0.1053473 -0.05339998 0.01841068 -0.1034853 -0.05339998 0.0194863 -0.1016232 -0.05339998 0.02163499 -0.1053473 -0.05339998 0.01610362 -0.09931582 -0.05339998 -0.006990015 -0.131036 -0.05339998 0.006657004 -0.131482 -0.05339998 0.008519053 -0.1304063 -0.05706989 0.008519053 -0.1304063 -0.05339998 0.01610362 -0.1290143 -0.05339998 0.0103811 -0.131482 -0.05706989 0.01038104 -0.1314813 -0.05339998 -0.009067296 -0.1304799 -0.05706989 0.009594082 -0.1306943 -0.05339998 -0.006433904 -0.1331133 -0.05339998 0.006657004 -0.1336306 -0.05706989 0.006657123 -0.1314813 -0.05706989 0.007444083 -0.1306943 -0.05339998 -0.007953286 -0.1346326 -0.05339998 0.008519053 -0.1347063 -0.05706989 0.006657123 -0.1336313 -0.05706989 0.006369054 -0.1325563 -0.05339998 0.0198884 -0.1324172 -0.05339998 0.0103811 -0.1336306 -0.05706989 0.008519053 -0.1347063 -0.05339998 -0.01439076 -0.1365967 -0.05339998 0.0139659 -0.1368456 -0.05706989 0.007444083 -0.1344183 -0.05706989 0.01038104 -0.1336313 -0.05706989 0.009594082 -0.1344183 -0.05339998 0.02447599 -0.1266075 -0.05706989 0.01066905 -0.1325563 -0.05706989 -0.006990015 -0.131036 -0.05706989 -0.006433546 -0.1331127 -0.05706989 -0.006433546 -0.1319999 -0.05339998 -0.02023476 -0.1320651 -0.05339998 -0.01058655 -0.1319993 -0.05706989 -0.00906676 -0.1304796 -0.05706989 -0.007953822 -0.1304796 -0.05339998 -0.0100305 -0.1340765 -0.05706989 -0.01058697 -0.1319999 -0.05706989 -0.0100305 -0.131036 -0.05706989 -0.0100305 -0.1340765 -0.05706989 -0.01058697 -0.1331127 -0.05706989 -0.007953822 -0.134633 -0.05706989 -0.00906676 -0.134633 -0.05706989 -0.006990015 -0.1340765 -0.05706989 -0.01840192 -0.1205147 -0.05706989 -0.01947689 -0.1223766 -0.05706989 -0.01868993 -0.1215897 -0.05706989 -0.01947689 -0.1186527 -0.05706989 -0.01868993 -0.1194397 -0.05339998 -0.02270185 -0.1205147 -0.05706989 -0.02162683 -0.1186527 -0.05706989 -0.02055186 -0.1183647 -0.05339998 -0.02471971 -0.1261759 -0.05339998 -0.02162623 -0.1223767 -0.05706989 -0.02270185 -0.1205147 -0.05706989 -0.02241379 -0.1194397 -0.05706989 -0.02162683 -0.1223766 -0.05706989 -0.02241379 -0.1215897 -0.05706989 -0.02055186 -0.1226647 -0.05706989 -0.01903164 -0.1050056 -0.05706989 -0.02110832 -0.105562 -0.05706989 -0.01999545 -0.105562 -0.05706989 -0.01847517 -0.1029288 -0.05706989 -0.01847517 -0.1040417 -0.05339998 -0.02207219 -0.101965 -0.05706989 -0.01999545 -0.1014086 -0.05706989 -0.01903164 -0.101965 -0.05339998 -0.02262818 -0.1040422 -0.05706989 -0.02207219 -0.101965 -0.05339998 -0.0160948 -0.09931582 -0.05339998 -0.0160948 -0.09498566 -0.05339998 -0.02849555 -0.04999995 -0.05706989 -0.02110832 -0.1014086 -0.05706989 -0.02262866 -0.1040417 -0.05706989 -0.02262866 -0.1029288 -0.05706989 -0.02207219 -0.1050056 -0.05339998 0.006998777 -0.09296393 -0.05339998 -0.006648242 -0.09251797 -0.05339998 -0.008510291 -0.09359365 -0.05706989 -0.008510291 -0.09359365 -0.05339998 -0.01037234 -0.09251797 -0.05706989 -0.01037222 -0.09251868 -0.05339998 0.009076058 -0.09351998 -0.05706989 -0.00958532 -0.09330558 -0.05339998 0.006442725 -0.09088665 -0.05339998 -0.006648242 -0.09036934 -0.05706989 -0.006648361 -0.09251868 -0.05706989 -0.007435262 -0.09330558 -0.05339998 0.007962048 -0.08936733 -0.05339998 -0.008510291 -0.08929365 -0.05706989 -0.006648361 -0.09036868 -0.05706989 -0.006360292 -0.09144365 -0.05339998 0.02849996 -0.04999995 -0.05339998 -0.01037234 -0.09036934 -0.05706989 -0.008510291 -0.08929365 -0.05706989 -0.007435262 -0.08958172 -0.05706989 -0.01037222 -0.09036868 -0.05706989 -0.00958532 -0.08958172 -0.05706989 -0.01066029 -0.09144365 -0.05706989 0.006998777 -0.09296393 -0.05706989 0.006442308 -0.09088718 -0.05706989 0.006442308 -0.09200012 -0.05339998 0.01059538 -0.09200066 -0.05706989 0.009075522 -0.0935204 -0.05706989 0.007962584 -0.0935204 -0.05339998 0.01003926 -0.08992338 -0.05706989 0.01059573 -0.09200012 -0.05706989 0.01003926 -0.09296393 -0.05706989 0.01003926 -0.08992338 -0.05706989 0.01059573 -0.09088718 -0.05706989 0.007962584 -0.08936691 -0.05706989 0.009075522 -0.08936691 -0.05706989 0.006998777 -0.08992338 -0.05706989 0.01841068 -0.1034853 -0.05706989 0.01948571 -0.1016232 -0.05706989 0.01869875 -0.1024103 -0.05706989 0.01948571 -0.1053472 -0.05706989 0.01869875 -0.1045603 -0.05339998 0.02271068 -0.1034853 -0.05706989 0.02163571 -0.1053472 -0.05706989 0.02056068 -0.1056353 -0.05339998 0.02163499 -0.1016232 -0.05706989 0.02271068 -0.1034853 -0.05706989 0.02242261 -0.1045603 -0.05706989 0.02163571 -0.1016232 -0.05706989 0.02242261 -0.1024103 -0.05339998 0.01735359 -0.09715074 -0.05706989 0.02056068 -0.1013353 -0.05706989 0.0190404 -0.1189944 -0.05706989 0.02111715 -0.118438 -0.05706989 0.02000421 -0.118438 -0.05706989 0.01848387 -0.1210712 -0.05706989 0.01848387 -0.1199582 -0.05339998 0.02208089 -0.122035 -0.05706989 0.02000421 -0.1225914 -0.05706989 0.0190404 -0.122035 -0.05339998 0.02741032 -0.1198188 -0.05339998 0.02263695 -0.1199577 -0.05706989 0.02208089 -0.122035 -0.05339998 0.01610362 -0.1246842 -0.05706989 0.02111715 -0.1225914 -0.05706989 0.02263736 -0.1199582 -0.05706989 0.02263736 -0.1210712 -0.05706989 0.02208089 -0.1189944 -0.05789995 0.01235353 -0.1268492 -0.05789995 0.0136044 -0.124684 -0.05789995 0.0136044 -0.1290144 -0.05789995 0.01610285 -0.1290144 -0.05789995 0.01735359 -0.1268492 -0.05789995 0.01610285 -0.124684 -0.05789995 0.01235353 -0.09715074 -0.05789995 0.0136044 -0.0949856 -0.05789995 0.0136044 -0.09931588 -0.05789995 0.01610285 -0.09931588 -0.05339998 0.01610362 -0.09498566 -0.05789995 0.01735359 -0.09715074 -0.05789995 0.01610285 -0.0949856 -0.05789995 -0.01734483 -0.09715074 -0.05789995 -0.01609396 -0.0949856 -0.05789995 -0.01609396 -0.09931588 -0.05789995 -0.01359558 -0.09931588 -0.05789995 -0.01234477 -0.09715074 -0.05789995 -0.01359558 -0.0949856 -0.05339998 -0.0160948 -0.1290143 -0.05339998 -0.01734483 -0.1268492 -0.05789995 -0.01734483 -0.1268492 -0.05789995 -0.01609396 -0.124684 -0.05789995 -0.01609396 -0.1290144 -0.05789995 -0.01359558 -0.1290144 -0.05789995 -0.01234477 -0.1268492 -0.05789995 -0.01359558 -0.124684 -0.05281412 0.02849996 -0.04858577 -0.05939996 -0.02849555 -0.112 -0.05939996 -0.02849555 -0.03399991 -0.05281412 -0.02849555 -0.04858577 -0.05939996 0.02849996 -0.03399991 -0.05939996 0.02849996 -0.1125 -0.05939996 0.02741032 -0.1198188 -0.05939996 0.02447599 -0.1266075 -0.05939996 0.0198884 -0.1324172 -0.05339998 -0.007571637 -0.1394745 -0.05339998 0.007097244 -0.1396031 -0.05939996 0.0139659 -0.1368456 -0.05339998 -2.45619e-4 -0.1404983 -0.05939996 0.007097244 -0.1396031 -0.05939996 -2.45619e-4 -0.1404983 -0.05939996 -0.007571637 -0.1394745 -0.05939996 -0.01439076 -0.1365967 -0.05939996 -0.02023476 -0.1320651 -0.05939996 -0.02471971 -0.1261759 -0.05939996 -0.02753454 -0.1193368 -0.05939996 0.008518099 -0.09592348 -0.05939996 -0.008510291 -0.09592366 -0.05939996 -0.005343258 -0.09461206 -0.05939996 0.01739221 -0.1066523 -0.05939996 0.02056068 -0.09900563 -0.05939996 0.01739221 -0.1003183 -0.05939996 0.01608061 -0.1034853 -0.05939996 0.0205596 -0.1160349 -0.05939996 0.02056068 -0.1079649 -0.05939996 0.01608085 -0.1205137 -0.05939996 0.01739287 -0.1173468 -0.05939996 0.008519053 -0.1280763 -0.05939996 0.01739311 -0.1236823 -0.05939996 0.02056169 -0.1249945 -0.05939996 0.00535202 -0.1293879 -0.05939996 -0.008509278 -0.1280764 -0.05939996 -0.01738351 -0.1173477 -0.05939996 -0.01738351 -0.1236817 -0.05939996 -0.01607191 -0.1205147 -0.05939996 -0.02055186 -0.1249943 -0.05939996 -0.02055084 -0.1079651 -0.05939996 -0.02055186 -0.1160351 -0.05939996 -0.01607209 -0.1034862 -0.05939996 -0.01738405 -0.1066531 -0.05939996 -0.01738435 -0.1003177 -0.05939996 -0.02055287 -0.09900546 -0.05939996 -0.02040529 -0.07921743 -0.05939996 -0.0116772 -0.09461206 -0.05939996 0.01168602 -0.1293879 -0.05939996 0.0129987 -0.1325563 -0.05939996 0.01168602 -0.1357247 -0.05939996 0.008519053 -0.1370363 -0.05939996 -0.008511304 -0.1370361 -0.05939996 0.00535202 -0.1357247 -0.05939996 -0.005342662 -0.1357239 -0.05939996 0.004039347 -0.1325563 -0.05939996 -0.005342364 -0.1293885 -0.05939996 -0.004030466 -0.1325553 -0.05939996 -0.01167809 -0.1357241 -0.05939996 -0.01299005 -0.1325573 -0.05939996 -0.01167786 -0.1293887 -0.05939996 -0.02372032 -0.1236817 -0.05939996 -0.02503192 -0.1205147 -0.05939996 -0.02372032 -0.1173477 -0.05939996 -0.02371942 -0.1066529 -0.05939996 -0.02503168 -0.1034843 -0.05939996 -0.02371966 -0.1003174 -0.05939996 -0.0207507 -0.07748246 -0.05939996 -0.01298987 -0.09144365 -0.05939996 -0.0116772 -0.08827525 -0.05939996 -0.008510291 -0.08696365 -0.05939996 0.008520066 -0.08696389 -0.05939996 -0.005343258 -0.08827525 -0.05939996 -0.01881879 -0.07999998 -0.05939996 0.005351424 -0.08827608 -0.05939996 -0.004030585 -0.09144365 -0.05939996 0.005351245 -0.09461152 -0.05939996 0.004039287 -0.09144467 -0.05939996 -0.005129158 -0.07999998 -0.05939996 0.01168692 -0.08827584 -0.05939996 0.02372908 -0.1003183 -0.05939996 0.01299881 -0.09144264 -0.05939996 0.005133092 -0.07999998 -0.05939996 0.01168668 -0.09461122 -0.05939996 0.01882266 -0.07999998 -0.05939996 0.02504068 -0.1034853 -0.05939996 0.02372908 -0.1066523 -0.05939996 0.02372825 -0.1173471 -0.05939996 0.02504044 -0.1205157 -0.05939996 0.02372848 -0.1236824 -0.05939996 0.009230136 -0.03951746 -0.05939996 0.01506567 -0.0377826 -0.05939996 0.01472038 -0.03951776 -0.0543999 0.01472038 -0.03951776 -0.05939996 0.01282113 -0.05064213 -0.05939996 0.01956814 -0.05760473 -0.0543999 0.01956814 -0.05760473 -0.05939996 0.007298231 -0.037 -0.05939996 0.01665222 -0.037 -0.0543999 0.01506567 -0.0377826 -0.05939996 0.008884727 -0.03778249 -0.05939996 0.02149999 -0.037 -0.0543999 0.01665222 -0.037 -0.05939996 0.02291417 -0.03758573 -0.0543999 0.02149999 -0.037 -0.05939996 0.02349996 -0.03899997 -0.0543999 0.02291417 -0.03758573 -0.05939996 0.02349996 -0.05708706 -0.0543999 0.02349996 -0.03899997 -0.05939996 0.0226475 -0.05872476 -0.0543999 0.02349996 -0.05708706 -0.05939996 0.02081555 -0.05896604 -0.0543999 0.0226475 -0.05872476 -0.05939996 0.01390784 -0.05193704 -0.0543999 0.02081555 -0.05896604 -0.05939996 0.02075457 -0.07748222 -0.05939996 -0.007299661 -0.037 -0.0543999 -0.007299661 -0.037 -0.05939996 -0.01665365 -0.037 -0.05939996 -0.008886277 -0.0377826 -0.0543999 -0.008886277 -0.0377826 -0.0543999 0.007298231 -0.037 -0.0543999 0.008884727 -0.03778249 -0.05939996 0.01004409 -0.05193728 -0.05939996 0.001933038 -0.06675767 -0.0543999 0.009230136 -0.03951746 -0.05939996 0.01113069 -0.05064225 -0.05939996 0.003201246 -0.07748246 -0.05939996 8.46622e-4 -0.0680527 -0.0543999 0.001933038 -0.06675767 -0.05939996 -8.43851e-4 -0.06805282 -0.0543999 8.46622e-4 -0.0680527 -0.05939996 -0.003197312 -0.07748222 -0.05939996 -0.001930475 -0.06675791 -0.0543999 -8.43851e-4 -0.06805282 -0.05939996 -0.01004397 -0.05193704 -0.05939996 -0.009231507 -0.03951776 -0.0543999 -0.001930475 -0.06675791 -0.05939996 -0.01472181 -0.03951746 -0.0543999 -0.009231507 -0.03951776 -0.05939996 -0.01113075 -0.05064213 -0.05939996 -0.01506716 -0.03778249 -0.0543999 0.01004409 -0.05193728 -0.0543999 0.003201246 -0.07748246 -0.0543999 0.01113069 -0.05064225 -0.0543999 0.01282113 -0.05064213 -0.0543999 0.01390784 -0.05193704 -0.05939996 0.02040934 -0.07921731 -0.0543999 0.02075457 -0.07748222 -0.0543999 0.02040934 -0.07921731 -0.0543999 0.01882266 -0.07999998 -0.05939996 -0.003542602 -0.07921731 -0.05939996 0.003546655 -0.07921743 -0.0543999 0.005133092 -0.07999998 -0.0543999 0.003546655 -0.07921743 -0.0543999 -0.003197312 -0.07748222 -0.0543999 -0.01004397 -0.05193704 -0.0543999 -0.003542602 -0.07921731 -0.0543999 -0.005129158 -0.07999998 -0.0543999 -0.01881879 -0.07999998 -0.0543999 -0.02040529 -0.07921743 -0.05939996 -0.01956367 -0.05759257 -0.05939996 -0.01390773 -0.05193728 -0.0543999 -0.0207507 -0.07748246 -0.05939996 -0.02081102 -0.058954 -0.05939996 -0.02264297 -0.05871284 -0.05939996 -0.02349561 -0.05707508 -0.05939996 -0.01282113 -0.05064225 -0.0543999 -0.01390773 -0.05193728 -0.0543999 -0.01282113 -0.05064225 -0.0543999 -0.01113075 -0.05064213 -0.0543999 -0.01956367 -0.05759257 -0.0543999 -0.01472181 -0.03951746 -0.0543999 -0.02081102 -0.058954 -0.0543999 -0.02264297 -0.05871284 -0.05939996 -0.02349561 -0.03899997 -0.0543999 -0.02349561 -0.05707508 -0.05939996 -0.02290982 -0.03758573 -0.0543999 -0.02349561 -0.03899997 -0.05939996 -0.02149558 -0.037 -0.0543999 -0.02290982 -0.03758573 -0.0543999 -0.02149558 -0.037 -0.0543999 -0.01665365 -0.037 -0.0543999 -0.01506716 -0.03778249 -0.05739992 0.02649992 -0.032 -0.03239995 0.02649992 -0.032 -0.03239995 0.02849996 -0.03399991 -0.05139994 0.02849996 -0.04799991 -0.03239995 0.02849996 -0.04799991 -0.03239995 -0.02849555 -0.03399991 -0.05739992 -0.02649557 -0.032 -0.05139994 -0.02849555 -0.04799991 -0.03239995 -0.02849555 -0.04799991 -0.03239995 -0.01999998 -0.04099988 -0.03239995 -0.02649557 -0.032 -0.04347437 -0.01642894 -0.04799991 -0.04099988 0.01499992 -0.04799991 -0.04182547 -0.01642894 -0.04799991 -0.04099988 -0.01499992 -0.04799991 -0.04182547 -0.01357096 -0.04799991 -0.04347437 -0.006428897 -0.04799991 -0.04182547 -0.006428897 -0.04799991 -0.04099988 -0.004999995 -0.04799991 -0.04347437 0.003570914 -0.04799991 -0.04182547 0.003570914 -0.04799991 -0.04099988 0.004999995 -0.04799991 -0.04182547 0.01357096 -0.04799991 -0.04429996 -0.01499992 -0.04799991 -0.04791772 0.01976776 -0.032 -0.0461499 0.0205 -0.032 -0.0461499 0.01999998 -0.0324999 -0.03239995 0.0205 -0.032 -0.03239995 0.01999998 -0.0324999 -0.0486499 0.01799988 -0.032 -0.04756414 0.01941418 -0.0324999 -0.0486499 -0.01799988 -0.032 -0.04815 0.01799988 -0.0324999 -0.04791772 -0.01976776 -0.032 -0.04815 -0.01799988 -0.0324999 -0.0461499 -0.0205 -0.032 -0.04756414 -0.01941418 -0.0324999 -0.03239995 -0.0205 -0.032 -0.0461499 -0.01999998 -0.0324999 -0.03239995 -0.01999998 -0.0324999 -0.04182547 0.01642894 -0.04799991 -0.04347437 -0.01357096 -0.04799991 -0.04429996 -0.004999995 -0.04799991 -0.04347437 -0.003570914 -0.04799991 -0.04182547 -0.003570914 -0.04799991 -0.04429996 0.004999995 -0.04799991 -0.04347437 0.006428897 -0.04799991 -0.04182547 0.006428897 -0.04799991 -0.04429996 0.01499992 -0.04799991 -0.04347437 0.01642894 -0.04799991 -0.03239995 0.01999998 -0.04099988 -0.0461499 -0.01999998 -0.04099988 -0.04099988 -0.01499992 -0.04099988 -0.04182547 -0.01642894 -0.04099988 -0.04182547 -0.01357096 -0.04099988 -0.04347437 -0.01357096 -0.04099988 -0.04099988 -0.004999995 -0.04099988 -0.04182547 -0.003570914 -0.04099988 -0.04347437 -0.003570914 -0.04099988 -0.04099988 0.004999995 -0.04099988 -0.04182547 0.006428897 -0.04099988 -0.04347437 0.006428897 -0.04099988 -0.04182547 0.01357096 -0.04099988 -0.04182547 0.01642894 -0.04099988 -0.04099988 0.01499992 -0.04099988 -0.04347437 0.01642894 -0.04099988 -0.04815 0.01799988 -0.04099988 -0.04756414 0.01941418 -0.04099988 -0.0461499 0.01999998 -0.04099988 -0.04347437 -0.01642894 -0.04099988 -0.04429996 -0.01499992 -0.04099988 -0.04182547 -0.006428897 -0.04099988 -0.04347437 -0.006428897 -0.04099988 -0.04429996 -0.004999995 -0.04099988 -0.04347437 0.01357096 -0.04799991 -0.04182547 0.003570914 -0.04099988 -0.04347437 0.003570914 -0.04099988 -0.04429996 0.004999995 -0.04099988 -0.04347437 0.01357096 -0.04099988 -0.04429996 0.01499992 -0.04099988 -0.04815 -0.01799988 -0.04099988 -0.04756414 -0.01941418 -0.04099988 0.01244598 0.001156449 0.02599996 0.02949988 0.02549993 0.02599996 0.02549993 0.02949988 0.02599996 0.02949988 0.02549993 -0.03899997 0.009388208 0.008252739 0.02599996 -0.02549993 0.02949988 0.02599996 0.02549993 0.02949988 -0.03899997 0.02549993 -0.02949988 0.02599996 0.02949988 -0.02549993 0.02599996 0.02949988 -0.02549993 -0.03899997 0.01074934 -0.006379604 0.02599996 0.02549993 -0.02949988 -0.03899997 -0.009388208 -0.008252739 0.02599996 -0.02549993 -0.02949988 0.02599996 -0.02549993 -0.02949988 -0.03899997 -0.00274682 -0.01219421 0.02599996 0.004946947 -0.01147902 0.02599996 -0.01244598 -0.001156449 0.02599996 -0.02949988 -0.02549993 0.02599996 -0.02949988 -0.02549993 -0.03899997 -0.02949988 0.02549993 0.02599996 -0.02949988 0.02549993 -0.03899997 -0.01074934 0.006379604 0.02599996 -0.02549993 0.02949988 -0.03899997 -0.004946947 0.01147902 0.02599996 0.00274682 0.01219421 0.02599996 -0.01074934 0.006379604 0.02899998 -0.004946768 0.01147884 0.02899998 -0.01244574 -0.001156449 0.02899998 -0.009389758 -0.008251249 0.02899998 -0.002744734 -0.01219499 0.02899998 0.004946768 -0.01147884 0.02899998 0.01074934 -0.006379604 0.02899998 0.01244574 0.001156449 0.02899998 0.009389758 0.008251249 0.02899998 0.002744734 0.01219499 0.02899998 -0.002023458 0.007936716 0.02899998 -0.007043719 0.004180312 0.02899998 0.00793612 0.002025783 0.02899998 0.004180133 0.007043421 0.02899998 0.007043719 -0.004180312 0.02899998 0.002023458 -0.007936716 0.02899998 -0.00793612 -0.002025783 0.02899998 -0.004180133 -0.007043421 0.02899998 -0.007043719 0.004180312 0.04399991 -0.002021372 0.007937014 0.04399991 -0.007935404 -0.00202769 0.04399991 -0.004179954 -0.007043004 0.04399991 0.002021372 -0.007937014 0.04399991 0.007043719 -0.004180312 0.04399991 0.007935404 0.00202769 0.04399991 0.004179954 0.007043004 0.04399991 -0.0428999 -0.01484483 -0.09915071 -0.0428999 -0.01284486 -0.09715074 -0.0428999 -0.01484483 -0.0951507 -0.04339993 -0.01484483 -0.09465074 -0.0428999 -0.01684474 -0.09715074 -0.04339993 -0.01734483 -0.09715074 -0.04339993 -0.01234477 -0.09715074 -0.04339993 -0.01484483 -0.09965074 -0.05789995 -0.01484483 -0.0951507 -0.05789995 -0.01284486 -0.09715074 -0.05789995 -0.01484483 -0.09915071 -0.05739992 -0.01484483 -0.09965074 -0.05789995 -0.01684474 -0.09715074 -0.05739992 -0.01734483 -0.09715074 -0.05739992 -0.01234477 -0.09715074 -0.05739992 -0.01484483 -0.09465074 -0.0428999 -0.01484483 -0.1288492 -0.0428999 -0.01284486 -0.1268492 -0.0428999 -0.01484483 -0.1248492 -0.04339993 -0.01484483 -0.1243492 -0.0428999 -0.01684474 -0.1268492 -0.04339993 -0.01734483 -0.1268492 -0.04339993 -0.01234477 -0.1268492 -0.04339993 -0.01484483 -0.1293492 -0.05789995 -0.01484483 -0.1248492 -0.05789995 -0.01284486 -0.1268492 -0.05789995 -0.01484483 -0.1288492 -0.05739992 -0.01484483 -0.1293492 -0.05789995 -0.01684474 -0.1268492 -0.05739992 -0.01734483 -0.1268492 -0.05739992 -0.01234477 -0.1268492 -0.05739992 -0.01484483 -0.1243492 -0.0428999 0.01485353 -0.1288492 -0.0428999 0.01685363 -0.1268492 -0.0428999 0.01485353 -0.1248492 -0.04339993 0.01485353 -0.1243492 -0.0428999 0.01285362 -0.1268492 -0.04339993 0.01235353 -0.1268492 -0.04339993 0.01735359 -0.1268492 -0.04339993 0.01485353 -0.1293492 -0.05789995 0.01485353 -0.1248492 -0.05789995 0.01685363 -0.1268492 -0.05789995 0.01485353 -0.1288492 -0.05739992 0.01485353 -0.1293492 -0.05789995 0.01285362 -0.1268492 -0.05739992 0.01235353 -0.1268492 -0.05739992 0.01735359 -0.1268492 -0.05739992 0.01485353 -0.1243492 -0.0428999 0.01485353 -0.09915071 -0.0428999 0.01685363 -0.09715074 -0.0428999 0.01485353 -0.0951507 -0.04339993 0.01485353 -0.09465074 -0.0428999 0.01285362 -0.09715074 -0.04339993 0.01235353 -0.09715074 -0.04339993 0.01735359 -0.09715074 -0.04339993 0.01485353 -0.09965074 -0.05789995 0.01485353 -0.0951507 -0.05789995 0.01685363 -0.09715074 -0.05789995 0.01485353 -0.09915071 -0.05739992 0.01485353 -0.09965074 -0.05789995 0.01285362 -0.09715074 -0.05739992 0.01235353 -0.09715074 -0.05739992 0.01735359 -0.09715074 -0.05739992 0.01485353 -0.09465074 -0.0113421 0.02949988 0.0158689 0.003658652 0.02949988 -0.0036605 0.00538522 0.02949988 -0.002650976 0.00538522 0.04049998 -0.002650976 0.007122755 0.02949988 -0.003641307 0.006802618 0.04049998 -0.003228962 0.003669679 0.02949988 -0.005660474 0.003396213 0.04049998 -0.004661977 0.004386663 0.05049991 -0.002924442 0.01034963 0.02949988 -0.0233739 0.005407214 0.02949988 -0.006650924 0.003989875 0.04049998 -0.006072938 -0.003876984 0.02949988 -0.003702104 -0.01025688 0.02949988 0.01401293 0.007133722 0.02949988 -0.005641341 0.005407214 0.04049998 -0.006650924 0.007396221 0.04049998 -0.004639923 0.006405711 0.05049991 -0.006377458 0.01044267 0.02949988 0.01412707 -0.007341027 0.02949988 -0.003721177 -0.005614519 0.02949988 -0.002711594 -0.005614519 0.04049998 -0.002711594 -0.00419718 0.04049998 -0.00328958 -0.00733006 0.02949988 -0.005721092 -0.007603526 0.04049998 -0.004722595 -0.006613016 0.05049991 -0.00298506 0.01143491 0.02949988 -0.02522987 -0.005592525 0.02949988 -0.006711602 -0.007009923 0.04049998 -0.006133556 -0.01034992 0.02949988 -0.0234881 -0.003865957 0.02949988 -0.005702078 -0.005592525 0.04049998 -0.006711602 -0.003603518 0.04049998 -0.004700601 -0.004593968 0.05049991 -0.006438136 -0.01796537 0.02949988 -0.02978014 -0.01356464 0.02949988 -0.02536785 -0.01464986 0.02949988 -0.02351176 -0.01464986 0.04816997 -0.02351176 -0.01455688 0.02949988 0.01398921 -0.01358515 0.02949988 -0.02164399 -0.01358515 0.04816997 -0.02164399 -0.01824128 0.02949988 0.0202189 0.01803398 0.02949988 -0.0295816 -0.01141464 0.02949988 -0.02535599 -0.01356464 0.04816997 -0.02536785 -0.01141464 0.04816997 -0.02535599 -0.01132166 0.02949988 0.01214504 -0.01143527 0.02949988 -0.02163213 -0.01034992 0.04816997 -0.0234881 -0.0134716 0.02949988 0.01213318 -0.01143527 0.04816997 -0.02163213 0.01034963 0.04816997 -0.0233739 0.01141428 0.02949988 -0.02150601 0.01141428 0.04816997 -0.02150601 0.01358485 0.02949988 -0.02521795 0.01143491 0.04816997 -0.02522987 0.01464951 0.02949988 -0.02335011 0.01358485 0.04816997 -0.02521795 0.01367789 0.02949988 0.01228296 0.01356422 0.02949988 -0.02149415 0.01464951 0.04816997 -0.02335011 0.01474261 0.02949988 0.01415079 0.01152789 0.02949988 0.0122711 0.01356422 0.04816997 -0.02149415 0.01044267 0.04816997 0.01412707 0.01150739 0.02949988 0.01599502 0.01150739 0.04816997 0.01599502 0.01152789 0.04816997 0.0122711 0.01367789 0.04816997 0.01228296 0.01775807 0.02949988 0.02041763 0.01365739 0.02949988 0.01600682 0.01474261 0.04816997 0.01415079 0.01365739 0.04816997 0.01600682 -0.01455688 0.04816997 0.01398921 -0.0134921 0.02949988 0.01585704 -0.0134921 0.04816997 0.01585704 -0.0134716 0.04816997 0.01213318 -0.01132166 0.04816997 0.01214504 -0.01025688 0.04816997 0.01401293 -0.0113421 0.04816997 0.0158689 0.02379935 0.02949988 0.01295077 0.0239793 0.02949988 -0.01964861 0.02897918 0.02949988 -0.01962101 0.0239793 0.05049991 -0.01964861 0.03395152 0.02949988 -0.01459354 0.02897918 0.0604999 -0.01962101 0.02167338 0.02949988 0.01381784 0.02186298 0.02949988 -0.0205391 0.02078282 0.02949988 0.01593416 0.02099585 0.02949988 -0.02266514 0.02186298 0.05049991 -0.0205391 0.01988404 0.02949988 0.0195505 0.02101737 0.02949988 -0.02656507 0.02101737 0.05049991 -0.02656507 0.02099585 0.05049991 -0.02266514 0.0201503 0.02949988 -0.02869111 0.01943653 0.04934906 -0.02922463 0.0209192 0.05049991 -0.02734303 0.02062374 0.05049991 -0.02806729 0.01803398 0.04899996 -0.0295816 -0.02035754 0.02949988 0.01932847 -0.02009141 0.02949988 -0.02891314 -0.01796537 0.04899996 -0.02978014 -0.007790029 0.04642891 -0.02972406 -0.008615553 0.04499989 -0.02972865 -0.007790029 0.04357099 -0.02972406 -0.006141066 0.04357099 -0.029715 0.005384147 0.04499989 -0.0296514 0.006209671 0.04357099 -0.02964681 0.007858633 0.04357099 -0.02963775 -0.02099019 0.02949988 -0.0252968 -0.02098184 0.02949988 -0.02679675 -0.02057164 0.05049991 -0.02829456 -0.02120316 0.02949988 0.0133025 -0.02122461 0.02949988 0.01720237 -0.01937174 0.04934906 -0.02943879 -0.02099019 0.05049991 -0.0252968 -0.02098184 0.05049991 -0.02679675 -0.02087509 0.05049991 -0.02757364 -0.02207022 0.02949988 0.01117646 -0.02188068 0.02949988 -0.02318054 -0.02418661 0.02949988 0.01028597 -0.02400672 0.02949988 -0.02231347 -0.02188068 0.05049991 -0.02318054 -0.03415876 0.02949988 0.005230903 -0.03400647 0.02949988 -0.02236855 -0.03400647 0.05049991 -0.02236855 -0.02918642 0.02949988 0.01025837 -0.02400672 0.05049991 -0.02231347 -0.03406447 0.03374993 -0.01186877 -0.03403002 0.03999996 -0.01811861 -0.03404009 0.03558057 -0.01628816 -0.02918642 0.0604999 0.01025837 -0.03408885 0.03558057 -0.007449448 -0.03415876 0.0604999 0.005230903 -0.02418661 0.05049991 0.01028597 -0.02207022 0.05049991 0.01117646 -0.02122461 0.05049991 0.01720237 -0.02120316 0.05049991 0.0133025 -0.0196439 0.04934906 0.01986205 -0.02112644 0.05049991 0.01798033 -0.02083098 0.05049991 0.01870465 -0.01824128 0.04899996 0.0202189 0.01775807 0.04899996 0.02041763 -0.006416976 0.04357099 0.02028423 -0.008065938 0.04357099 0.02027511 -0.005591452 0.04499989 0.02028876 0.005933761 0.04357099 0.02035236 0.007582724 0.04642891 0.02036148 0.008408248 0.04499989 0.02036601 0.007582724 0.04357099 0.02036148 0.0207746 0.02949988 0.01743412 0.0203644 0.05049991 0.01893198 0.0191645 0.04934906 0.02007615 0.02078282 0.05049991 0.01593416 0.0207746 0.05049991 0.01743412 0.02066785 0.05049991 0.018211 0.02167338 0.05049991 0.01381784 0.03379923 0.02949988 0.01300603 0.03379923 0.05049991 0.01300603 0.02379935 0.05049991 0.01295077 0.0338571 0.03374993 0.002506077 0.03382271 0.03999996 0.008756041 0.03383272 0.03558057 0.006925523 0.03388154 0.03558057 -0.00191313 0.03395152 0.0604999 -0.01459354 -2.87642e-4 0.05049991 -0.01845693 -2.83979e-4 0.05049991 -0.01912075 -0.001107275 0.05049991 -0.01912528 -0.001107275 0.05024999 -0.01912528 -0.001110911 0.05049991 -0.01846146 -0.001237452 0.05049991 -0.01908177 -2.83979e-4 0.05024999 -0.01912075 -2.87642e-4 0.05024999 -0.01845693 -0.001240611 0.05049991 -0.01850634 -0.001240611 0.05024999 -0.01850634 -0.001110911 0.05024999 -0.01846146 -0.001324594 0.05049991 -0.01899373 -0.001326799 0.05049991 -0.01859533 -0.001326799 0.05024999 -0.01859533 -0.001368761 0.05049991 -0.01886117 -0.001369476 0.05049991 -0.01872843 -0.001369476 0.05024999 -0.01872843 -0.001368761 0.05024999 -0.01886117 -0.001324594 0.05024999 -0.01899373 -0.001237452 0.05024999 -0.01908177 -1.73892e-5 0.05049991 -0.02031409 0.007396221 0.05049991 -0.004639923 0.008112728 0.05049991 0.01411426 0.006386637 0.05049991 -0.002913415 0.008019685 0.05049991 -0.02338677 0.004405796 0.05049991 -0.006388485 0.003396213 0.05049991 -0.004661977 0.001927137 0.05049991 -0.01027011 -0.008020043 0.05049991 -0.02347517 -0.003603518 0.05049991 -0.004700601 -0.002134442 0.05049991 9.07568e-4 -0.004613101 0.05049991 -0.002974033 -0.006593942 0.05049991 -0.006449103 -0.007603526 0.05049991 -0.004722595 -0.00792694 0.05049991 0.01402574 -0.001143991 0.05049991 0.002645075 0.01033127 0.05049991 0.01800638 9.17675e-4 0.05049991 -0.00854367 8.74989e-4 0.05049991 -8.07902e-4 0.001865327 0.05049991 9.2964e-4 0.001865327 0.04282838 9.2964e-4 8.55874e-4 0.05049991 0.002656102 0.001591861 0.04299998 0.001928091 0.001796305 0.04295963 0.001439571 -0.001082181 0.05049991 -0.008554697 -0.001124978 0.05049991 -8.18938e-4 2.83773e-4 0.04049998 -0.001037061 0.001416087 0.04195946 -3.4451e-4 -0.002072632 0.05049991 -0.01029223 -0.00167191 0.04196053 -3.60577e-4 -1.23518e-4 0.04049998 -0.001081347 -5.31272e-4 0.04049998 -0.001041591 -0.002134442 0.04282838 9.07568e-4 -1.45553e-4 0.04282867 0.002918541 -0.002070963 0.04295963 0.001418471 -0.001872003 0.04299998 0.001908957 9.3679e-4 0.05049991 -0.01200771 0.001927137 0.04282838 -0.01027011 0.001464605 0.04196053 -0.009002029 -2.88667e-5 0.05049991 -0.01823419 -0.001063168 0.05049991 -0.01201874 -6.17532e-5 0.04282867 -0.01228111 0.001863718 0.04295963 -0.01078104 0.001664698 0.04299998 -0.01127159 -0.001629412 0.05049991 -0.01872986 -0.001799166 0.04299998 -0.01129066 -0.001586854 0.05049991 -0.01859676 -0.00145781 0.05049991 -0.01841908 -0.001285195 0.05049991 -0.01828539 -0.00106883 0.05049991 -0.01823997 -0.002072632 0.04282838 -0.01029223 -0.00200361 0.04295963 -0.0108022 -4.91079e-4 0.04049998 -0.008325457 -0.001623392 0.04195946 -0.009018063 -8.3788e-5 0.04049998 -0.00828123 3.23966e-4 0.04049998 -0.008320927 -0.01688683 0.05049991 0.01397627 -0.01476126 0.05049991 -0.01963251 -0.01697993 0.05049991 -0.0235247 -0.01471853 0.05049991 -0.02739202 -0.01710921 0.05049991 -0.003710985 -0.01088386 0.05049991 -0.01734089 -0.01028144 0.05049991 -0.0196079 -0.01462543 0.05049991 0.01010888 -0.01101356 0.05049991 0.00615859 -0.0090034 0.05049991 -0.01841318 -0.01025259 0.05049991 -0.0184201 -0.01023852 0.05049991 -0.02736735 -0.008383989 0.05049991 -0.01732712 0.01028096 0.05049991 -0.0272541 -0.001628458 0.05049991 -0.01890689 -2.77385e-4 0.05049991 -0.02031552 -2.82513e-4 0.05049991 -0.01938629 -0.001062393 0.05049991 -0.01939058 -0.001279354 0.05049991 -0.01934742 -0.001453459 0.05049991 -0.0192157 -0.001584351 0.05049991 -0.01903939 0.0101962 0.05049991 -0.0183072 0.01023823 0.05049991 -0.01949465 0.008186042 0.05049991 0.006264567 0.008315742 0.05049991 -0.01723504 0.008947074 0.05049991 -0.01831412 0.01081568 0.05049991 -0.01722121 0.01471817 0.05049991 -0.01946985 0.01485401 0.05049991 0.01027154 0.01697951 0.05049991 -0.0233373 0.01997929 0.05049991 -0.01967072 0.01476097 0.05049991 -0.02722936 0.01690191 0.05049991 -0.005651533 0.01785326 0.05049991 -0.01880359 0.01696282 0.05049991 -0.01668727 0.01037406 0.05049991 0.01024693 0.01481115 0.05049991 0.01803112 -0.01018834 0.05049991 0.01789313 0.01707255 0.05049991 0.01416373 0.01781529 0.05049991 -0.003417611 0.01068598 0.05049991 0.006278336 0.008805453 0.05049991 0.007350564 0.01005458 0.05049991 0.007357478 -0.02018666 0.05049991 0.01030802 -0.01466822 0.05049991 0.01786839 -0.01806062 0.05049991 0.009440958 -0.01717013 0.05049991 0.007324695 -0.009145021 0.05049991 0.00725156 -0.01014554 0.05049991 0.01013368 -0.008513629 0.05049991 0.006172418 -0.01039415 0.05049991 0.007244646 0.008186042 0.04299998 0.006264567 0.008817374 0.05049991 0.005185425 0.008817017 0.04299998 0.005185425 0.008805036 0.04299998 0.007350504 0.010055 0.04299998 0.007357418 0.01018428 0.05049991 -0.01614207 0.01006656 0.05049991 0.005192339 0.01068598 0.04299998 0.006278336 0.008935153 0.05049991 -0.01614898 0.01006692 0.04299998 0.005192399 -0.01101356 0.04299998 0.00615859 -0.01038223 0.05049991 0.005079448 -0.01038265 0.04299998 0.005079567 -0.01039457 0.04299998 0.007244527 -0.009144604 0.04299998 0.007251501 -0.009015321 0.05049991 -0.01624798 -0.00913304 0.05049991 0.005086362 -0.008513629 0.04299998 0.006172418 -0.01026445 0.05049991 -0.01625496 -0.009132683 0.04299998 0.005086481 -0.001586854 0.05024999 -0.01859676 -0.001629412 0.05024999 -0.01872986 -0.00145781 0.05024999 -0.01841908 -0.001285195 0.05024999 -0.01828539 -0.00106883 0.05024999 -0.01823997 -2.88667e-5 0.05024999 -0.01823419 -1.73892e-5 0.05024999 -0.02031409 -2.77385e-4 0.05024999 -0.02031552 -2.82513e-4 0.05024999 -0.01938629 -0.001279354 0.05024999 -0.01934742 -0.001062393 0.05024999 -0.01939058 -0.001453459 0.05024999 -0.0192157 -0.001584351 0.05024999 -0.01903939 -0.001628458 0.05024999 -0.01890689 0.008315742 0.04249989 -0.01723504 0.008946657 0.04249989 -0.01831406 0.008934736 0.04249989 -0.01614904 0.01018464 0.04249989 -0.01614207 0.01081568 0.04249989 -0.01722121 0.01019662 0.04249989 -0.01830714 -0.01088386 0.04249989 -0.01734089 -0.01025295 0.04249989 -0.01842004 -0.01026493 0.04249989 -0.01625502 -0.009014964 0.04249989 -0.01624804 -0.008383989 0.04249989 -0.01732712 -0.009002983 0.04249989 -0.01841312 0.01997929 0.0604999 -0.01967072 0.01785326 0.0604999 -0.01880359 0.01696282 0.0604999 -0.01668727 0.01776903 0.05099993 -0.003561258 0.01690202 0.05075538 -0.005678892 0.01801741 0.05049991 -0.003222465 0.01988554 0.05099993 -0.002670884 0.01891088 0.05049991 -0.00261116 0.01988488 0.05068117 -0.002556145 0.01988273 0.05049991 -0.00217092 0.01988393 0.05054771 -0.002384305 0.03388249 0.05049991 -0.002093732 0.03388452 0.05064648 -0.002447128 0.03383272 0.04441934 0.006925523 0.0338571 0.04624992 0.002506077 -0.02018666 0.0604999 0.01030802 -0.01806062 0.0604999 0.009440958 -0.01717013 0.0604999 0.007324695 -0.01802253 0.05049991 -0.005944907 -0.0179764 0.05099993 -0.00580126 -0.01710939 0.05075538 -0.003683686 -0.01822471 0.05049991 -0.006140053 -0.02009284 0.05099993 -0.006691634 -0.01911813 0.05049991 -0.006751418 -0.02009212 0.05068117 -0.006806433 -0.0200901 0.05049991 -0.007191598 -0.02009123 0.05054771 -0.006978273 -0.03408986 0.05049991 -0.007268846 -0.03409183 0.05064648 -0.00691539 -0.03404009 0.04441934 -0.01628816 -0.03406447 0.04624992 -0.01186877 -0.008891463 0.04499989 0.02027052 -0.008847296 0.04499989 0.01227062 -0.008065938 0.04642891 0.02027511 -0.008022308 0.04642885 0.01227515 -0.008022308 0.04357105 0.01227515 -0.006372332 0.04357105 0.01228427 0.005108237 0.04499989 0.02034783 -0.006416976 0.04642891 0.02028423 -0.005547344 0.04499989 0.0122888 -0.006372332 0.04642885 0.01228427 0.008452355 0.04499989 0.01236605 0.007627308 0.04357105 0.01236152 0.005933761 0.04642891 0.02035236 0.007627308 0.04642885 0.01236152 0.005977392 0.04642885 0.0123524 0.005152404 0.04499989 0.01234787 0.005977392 0.04357105 0.0123524 0.01582288 0.03999996 0.00865674 0.01583302 0.04441934 0.006826162 0.01583302 0.03558057 0.006826162 0.01585739 0.03374993 0.002406835 0.03389161 0.03999996 -0.003743708 0.01588183 0.03558057 -0.002012372 0.03388154 0.04441934 -0.00191313 0.0158919 0.03999996 -0.003843009 0.01588183 0.04441934 -0.002012372 0.01585739 0.04624992 0.002406835 0.0338853 0.05099993 -0.002593696 0.0338853 0.0604999 -0.002593696 0.01988554 0.0604999 -0.002670884 0.02766293 0.0604999 -0.007730841 0.02316427 0.0604999 -0.007755637 0.02993506 0.0604999 -0.01161563 -0.00865966 0.04499989 -0.02172875 -0.007834672 0.04357105 -0.02172422 -0.006141066 0.04642891 -0.029715 -0.007834672 0.04642885 -0.02172422 -0.005315542 0.04499989 -0.02971041 -0.006184697 0.04642885 -0.0217151 -0.005359709 0.04499989 -0.02171057 0.006209671 0.04642891 -0.02964681 -0.006184697 0.04357105 -0.0217151 0.008684158 0.04499989 -0.02963316 0.008639991 0.04499989 -0.02163326 0.007858633 0.04642891 -0.02963775 0.007815003 0.04642885 -0.02163779 0.007815003 0.04357105 -0.02163779 0.006165027 0.04357105 -0.02164697 0.00533998 0.04499989 -0.0216515 0.006165027 0.04642885 -0.02164697 -0.01603025 0.03999996 -0.01801931 -0.01604038 0.04441934 -0.0161888 -0.01604038 0.03558057 -0.0161888 -0.01606476 0.03374993 -0.01176947 -0.03409898 0.03999996 -0.00561887 -0.01608914 0.03558057 -0.007350087 -0.03408885 0.04441934 -0.007449448 -0.01609927 0.03999996 -0.005519509 -0.01608914 0.04441934 -0.007350087 -0.01606476 0.04624992 -0.01176947 -0.0340926 0.05099993 -0.006768882 -0.0340926 0.0604999 -0.006768882 -0.02009284 0.0604999 -0.006691634 -0.02787017 0.0604999 -0.001631677 -0.0301423 0.0604999 0.002252936 -0.02337151 0.0604999 -0.001606822 -0.02279472 0.03999322 -0.001206398 0.01409596 0.04211968 -1.25816e-4 0.01416379 0.03999996 -0.00100249 -0.02201378 0.04205948 -3.83516e-4 0.01392287 0.04299998 0.001996159 0.01382273 0.0427708 0.003145635 -0.02116757 0.04299998 0.001802504 0.01373386 0.04211878 0.004118919 -0.02114248 0.04295802 0.002302587 -0.02114802 0.04298949 0.002053081 -0.01413017 0.04299998 -0.01135873 -0.01402997 0.0427708 -0.01250833 -0.0143032 0.04211968 -0.009236752 0.02180641 0.04205948 -0.008979082 0.02096027 0.04299998 -0.01116514 -0.0139411 0.04211878 -0.01348149 0.02093511 0.04295802 -0.01166528 0.02094072 0.04298949 -0.01141571 0.02258735 0.03999322 -0.00815612 -0.01437103 0.03999996 -0.008360087 -0.01387941 0.03885442 -0.01413005 -0.0138573 0.03999996 -0.01435726 0.02147716 0.04146212 -0.01378184 -0.01387941 0.04114544 -0.01413017 -0.01394104 0.03788125 -0.01348161 0.02148127 0.03855144 -0.01378947 -0.01402992 0.03722923 -0.01250857 -0.01413017 0.037 -0.01135873 0.02093511 0.03704196 -0.01166528 -0.0143032 0.03788036 -0.009236693 0.02096027 0.037 -0.01116514 0.02094072 0.03701043 -0.01141571 0.02180486 0.03793817 -0.008981227 0.01409596 0.03788036 -1.2589e-4 0.01392287 0.037 0.001996159 -0.02116757 0.037 0.001802504 0.01382267 0.03722923 0.003145933 -0.02114248 0.03704196 0.002302587 -0.02114802 0.03701043 0.002053081 -0.02201223 0.03793817 -3.81385e-4 0.0137338 0.03788125 0.004119038 0.01365 0.03999996 0.00499469 0.01367217 0.03885442 0.004767477 0.01367217 0.04114544 0.004767537 -0.0216844 0.04146212 0.004419267 -0.02168858 0.03855144 0.004426777 0.02093511 0.0604999 -0.01166528 0.02155041 0.03549993 -0.01391196 0.02320665 0.03549993 -0.01554989 0.02093511 0.03549993 -0.01166528 0.02152562 0.03549993 -0.00941199 0.02316355 0.03549993 -0.007755756 -0.02173292 0.03549993 4.9411e-5 -0.02114248 0.03549993 0.002302587 -0.02337092 0.03549993 -0.001606762 -0.02114248 0.0604999 0.002302587 -0.02175778 0.03549993 0.004549324 -0.02341395 0.03549993 0.00618726 0.02320724 0.0604999 -0.01555001 0.02766352 0.03549993 -0.00773102 0.02541029 0.03549993 -0.007140517 0.02770584 0.0604999 -0.01552522 0.02993506 0.03549993 -0.01161563 0.02931976 0.03549993 -0.009369015 0.02770656 0.03549993 -0.0155251 0.02934449 0.03549993 -0.01386886 0.02545994 0.03549993 -0.0161404 -0.02791321 0.0604999 0.006162643 -0.0301423 0.03549993 0.002252936 -0.02787089 0.03549993 -0.001631498 -0.029527 0.03549993 6.40238e-6 -0.02341461 0.0604999 0.006187379 -0.0279138 0.03549993 0.006162464 -0.02955186 0.03549993 0.00450623 -0.02566725 0.03549993 0.006777763 -0.02561753 0.03549993 -0.002222001 0.01776915 0.0604999 -0.003561437 0.01690208 0.0604999 -0.005687475 0.01690208 0.05099993 -0.005687475 -0.01797652 0.0604999 -0.005801141 -0.01710945 0.0604999 -0.003675103 -0.01710945 0.05099993 -0.003675103 -0.02564239 0.03279608 0.002277851 0.02543509 0.03279608 -0.01164042 0.009436011 0.0422489 0.006271481 -0.009763598 0.0422489 0.006165504 -0.007191777 0.04499989 0.0112884 0.006807804 0.04499989 0.01136565 0.009565711 0.04174888 -0.01722806 -0.009633958 0.04174888 -0.01733404 -0.007015168 0.04499989 -0.02072823 0.006984472 0.04499989 -0.02065098 -0.03175222 -0.01995033 0.02599996 -0.01580297 -0.002501726 0.02599996 -0.01131361 -0.01131361 0.02599996 -0.01131361 -0.01131361 0.02899998 -0.02651643 -0.02651643 0.02599996 -0.002501726 -0.01580297 0.02599996 -0.00612545 -0.01478093 0.02899998 -0.01994019 -6.8587e-4 0.02599996 -0.01425558 0.007264137 0.02599996 -0.01580321 0.002501249 0.02899998 -0.02181404 -0.002559602 0.02599996 -0.03539478 -0.01238691 0.02599996 -0.0142557 -0.007264435 0.02899998 -0.0158028 -0.002504289 0.02899998 -0.02062606 0.001873791 0.02599996 -0.007264137 0.01425558 0.02599996 -0.01131457 0.01131278 0.02899998 -0.01425665 0.007262468 0.02899998 0.001873791 0.02062606 0.02599996 0.002501726 0.01580297 0.02599996 -0.002503693 0.01580286 0.02899998 -0.002559602 0.02181404 0.02599996 -6.8587e-4 0.01994019 0.02599996 -0.007264733 0.01425558 0.02899998 0.02651643 0.02651643 0.02599996 0.01131361 0.01131361 0.02599996 0.007263541 0.01425617 0.02899998 0.01995033 0.03175222 0.02599996 0.002502322 0.01580303 0.02899998 0.03175222 0.01995033 0.02599996 0.01580297 0.002501726 0.02599996 0.01131361 0.01131361 0.02899998 0.01994019 6.8587e-4 0.02599996 0.01425558 -0.007264137 0.02599996 0.01599997 -1.70156e-6 0.02899998 0.02181404 0.002559602 0.02599996 0.03539478 0.01238691 0.02599996 0.01478123 0.006124675 0.02899998 0.02062606 -0.001873791 0.02599996 0.007264137 -0.01425558 0.02599996 0.01385581 -0.008000969 0.02899998 -0.001873791 -0.02062606 0.02599996 1.73431e-6 -0.01599997 0.02899998 6.8587e-4 -0.01994019 0.02599996 0.002559602 -0.02181404 0.02599996 0.008000016 -0.01385635 0.02899998 -0.01995033 -0.03175222 0.02599996 -0.02062606 0.001873791 0.02704989 -0.02318578 0.002559602 0.02599996 -0.02318578 0.002559602 0.02704989 -0.02181404 0.002559602 0.02704989 -0.01994019 -6.8587e-4 0.02704989 -0.01994019 6.8587e-4 0.02704989 -0.02437376 -0.001873791 0.02599996 -0.02181404 -0.002559602 0.02704989 -0.02062606 -0.001873791 0.02704989 -0.0250597 6.8587e-4 0.02599996 -0.02437376 -0.001873791 0.02704989 -0.02318578 -0.002559602 0.02704989 -0.03726416 -0.004197955 0.02599996 -0.0250597 6.8587e-4 0.02704989 -0.0250597 -6.8587e-4 0.02704989 -0.001873791 0.02437376 0.02599996 -0.01809388 0.00852108 0.02599996 -0.01914149 0.007524013 0.02599996 -0.02437376 0.001873791 0.02704989 -0.001873791 -0.02062606 0.02704989 -0.002559602 -0.02318578 0.02599996 -0.002559602 -0.02318578 0.02704989 -0.002559602 -0.02181404 0.02704989 6.8587e-4 -0.01994019 0.02704989 -6.8587e-4 -0.01994019 0.02704989 0.02318578 -0.002559602 0.02599996 0.001873791 -0.02437376 0.02599996 0.002559602 -0.02181404 0.02704989 0.001873791 -0.02062606 0.02704989 -0.01238691 -0.03539478 0.02599996 -6.8587e-4 -0.0250597 0.02599996 0.001873791 -0.02437376 0.02704989 0.01809388 -0.00852108 0.02599996 0.007522881 -0.01914191 0.02599996 0.007492661 -0.0205878 0.02599996 0.008520066 -0.01809442 0.02599996 0.002559602 -0.02318578 0.02704989 -6.8587e-4 -0.0250597 0.02704989 6.8587e-4 -0.0250597 0.02704989 -0.001873791 -0.02437376 0.02704989 0.02062606 -0.001873791 0.02704989 0.02318578 -0.002559602 0.02704989 0.02181404 -0.002559602 0.02704989 0.01994019 6.8587e-4 0.02704989 0.01994019 -6.8587e-4 0.02704989 0.02437376 0.001873791 0.02599996 0.02181404 0.002559602 0.02704989 0.02062606 0.001873791 0.02704989 0.0250597 -6.8587e-4 0.02599996 0.02437376 0.001873791 0.02704989 0.02318578 0.002559602 0.02704989 0.03726416 0.004197955 0.02599996 0.0250597 -6.8587e-4 0.02704989 0.0250597 6.8587e-4 0.02704989 0.01914149 -0.007524013 0.02599996 0.02437376 -0.001873791 0.02704989 0.001873791 0.02062606 0.02704989 0.002559602 0.02318578 0.02599996 0.002559602 0.02318578 0.02704989 0.002559602 0.02181404 0.02704989 -6.8587e-4 0.01994019 0.02704989 6.8587e-4 0.01994019 0.02704989 -0.002559602 0.02181404 0.02704989 -0.001873791 0.02062606 0.02704989 0.01238691 0.03539478 0.02599996 6.8587e-4 0.0250597 0.02599996 -0.001873791 0.02437376 0.02704989 -0.008520066 0.01809442 0.02599996 -0.007522881 0.01914191 0.02599996 -0.007492661 0.0205878 0.02599996 -0.002559602 0.02318578 0.02704989 6.8587e-4 0.0250597 0.02704989 -6.8587e-4 0.0250597 0.02704989 0.001873791 0.02437376 0.02704989 0.007492661 -0.0205878 0.02999997 -0.004197955 -0.03726416 0.02599996 0.008865475 -0.02435982 0.02599996 0.008865475 -0.02435982 0.02999997 0.007522881 -0.01914191 0.02999997 0.01414149 -0.01414239 0.02599996 0.008520066 -0.01809442 0.02999997 0.01414149 -0.01414239 0.02999997 0.01809388 -0.00852108 0.02999997 0.02058738 -0.007493853 0.02599996 0.01914149 -0.007524013 0.02999997 0.02435934 -0.008866846 0.02599996 0.02058738 -0.007493853 0.02999997 0.03726387 -0.004198968 0.02599996 0.02551907 -0.009971439 0.02599996 0.02435934 -0.008866846 0.02999997 0.02549642 -0.01157277 0.02599996 0.02551907 -0.009971439 0.02999997 0.01979815 -0.01979935 0.02599996 0.02549642 -0.01157277 0.02999997 0.01157134 -0.02549701 0.02599996 0.01979815 -0.01979935 0.02999997 0.004198968 -0.03726387 0.02599996 0.009969949 -0.0255196 0.02599996 0.01157134 -0.02549701 0.02999997 0.009969949 -0.0255196 0.02999997 -0.01414149 0.01414239 0.02599996 -0.008520066 0.01809442 0.02999997 -0.007522881 0.01914191 0.02999997 -0.01414149 0.01414239 0.02999997 -0.01809388 0.00852108 0.02999997 -0.02058738 0.007493853 0.02599996 -0.01914149 0.007524013 0.02999997 -0.02435934 0.008866846 0.02599996 -0.02058738 0.007493853 0.02999997 -0.03726387 0.004198968 0.02599996 -0.02551907 0.009971439 0.02599996 -0.02435934 0.008866846 0.02999997 -0.02549642 0.01157277 0.02599996 -0.02551907 0.009971439 0.02999997 -0.01979815 0.01979935 0.02599996 -0.02549642 0.01157277 0.02999997 0.004197955 0.03726416 0.02599996 -0.01157134 0.02549701 0.02599996 -0.01979815 0.01979935 0.02999997 -0.004198968 0.03726387 0.02599996 -0.009969949 0.0255196 0.02599996 -0.01157134 0.02549701 0.02999997 -0.008865475 0.02435982 0.02599996 -0.009969949 0.0255196 0.02999997 -0.008865475 0.02435982 0.02999997 -0.007492661 0.0205878 0.02999997 -0.02722352 -0.02722352 0.02699995 -0.03556919 -0.01473361 0.02699995 -0.01473361 -0.03556919 0.02699995 -2.1839e-7 -0.03849995 0.02699995 0.03539597 -0.01238375 0.02599996 0.01238375 -0.03539597 0.02599996 0.03175133 -0.01995223 0.02599996 0.01995217 -0.03175133 0.02599996 0.01473313 -0.03556931 0.02699995 0.02651619 -0.02651619 0.02599996 0.02722352 -0.02722352 0.02699995 0.03556931 -0.01473313 0.02699995 0.03849995 2.13734e-7 0.02699995 0.03556919 0.01473361 0.02699995 0.02722352 0.02722352 0.02699995 0.01473361 0.03556919 0.02699995 2.1839e-7 0.03849995 0.02699995 -0.03539597 0.01238375 0.02599996 -0.01238375 0.03539597 0.02599996 -0.03175133 0.01995223 0.02599996 -0.01995217 0.03175133 0.02599996 -0.01473313 0.03556931 0.02699995 -0.02651619 0.02651619 0.02599996 -0.02722352 0.02722352 0.02699995 -0.03556931 0.01473313 0.02699995 -0.03849995 -2.13734e-7 0.02699995 0.02280491 0.005591452 0.02999997 0.02831596 0.00990951 0.02999997 0.02121317 0.02121317 0.02999997 0.02121317 0.02121317 0.03049999 0.008761703 0.01456815 0.02999997 0.00990951 0.02831596 0.02999997 0.01676625 0.02487736 0.03049999 0.01899647 0.004368484 0.02999997 0.01456815 0.008761644 0.02999997 0.0190767 0.02315336 0.03049999 0.02809983 -8.06054e-7 0.02999997 0.02981126 -0.003357589 0.02999997 0.02988624 0.002609789 0.03849995 0.02645975 0.003959715 0.02999997 0.02316278 0.0190652 0.03049999 0.02489399 0.01674169 0.03049999 0.02567601 0.01551586 0.03109133 0.02598071 0.01499992 0.0324999 0.02598071 0.01499992 0.03849995 0.02540171 -0.01596033 0.02999997 0.02818721 -0.01027017 0.03849995 0.02645957 -0.003959596 0.02999997 0.01596033 -0.02540171 0.02999997 0.0212025 -0.02122384 0.03849995 0.003357589 -0.02981126 0.02999997 0.0102418 -0.02819752 0.03849995 -0.003959596 -0.02645957 0.02999997 -0.00990951 -0.02831596 0.02999997 -0.00263983 -0.02988362 0.03849995 0.003959715 -0.02645975 0.02999997 -8.06054e-7 -0.02809983 0.02999997 -0.008761703 -0.01456815 0.02999997 -0.02121317 -0.02121317 0.02999997 -0.01676625 -0.02487736 0.03049999 -0.003959715 -0.0185402 0.02999997 -0.005599856 -0.02250081 0.02999997 -0.01554155 -0.02566045 0.03109127 -0.01502609 -0.02596563 0.0324999 -0.02280491 -0.005591452 0.02999997 -0.02831596 -0.00990951 0.02999997 -0.02121317 -0.02121317 0.03049999 -0.01899647 -0.004368484 0.02999997 -0.01456815 -0.008761644 0.02999997 -0.0190767 -0.02315336 0.03049999 -0.02809983 8.06054e-7 0.02999997 -0.02981126 0.003357589 0.02999997 -0.02988618 -0.002609789 0.03899997 -0.02645975 -0.003959715 0.02999997 -0.02598071 -0.01499992 0.03899997 -0.02598071 -0.01499992 0.0324999 -0.02567601 -0.01551586 0.03109133 -0.02489399 -0.01674169 0.03049999 -0.02316278 -0.0190652 0.03049999 -0.02540171 0.01596033 0.02999997 -0.02818721 0.01026976 0.03899997 -0.02645957 0.003959596 0.02999997 -0.01596033 0.02540171 0.02999997 -0.02120256 0.02122348 0.03899997 -0.003357589 0.02981126 0.02999997 -0.0102418 0.02819728 0.03899997 0.003959596 0.02645957 0.02999997 0.002639472 0.02988356 0.03899997 -0.003959715 0.02645975 0.02999997 8.06054e-7 0.02809983 0.02999997 0.005599856 0.02250081 0.02999997 0.003959715 0.0185402 0.02999997 0.01502609 0.02596563 0.0324999 0.01554155 0.02566045 0.03109127 0.004368484 -0.01899647 0.02999997 0.0185402 -0.003959715 0.02999997 0.01456809 -0.008761525 0.02999997 0.005591452 -0.02280491 0.02999997 0.02250081 -0.005599856 0.02999997 -0.02250081 0.005599856 0.02999997 -0.0185402 0.003959715 0.02999997 -0.004368484 0.01899647 0.02999997 -0.01456809 0.008761525 0.02999997 -0.005591452 0.02280491 0.02999997 0.002560019 0.01751965 0.02999997 9.14638e-4 0.0169751 0.02999997 0 0.01695007 0.02995002 -0.00876224 0.01456767 0.02999997 -9.14758e-4 0.0169751 0.02999997 -0.01751965 0.002560019 0.02999997 -0.0169751 9.14775e-4 0.02999997 -0.01695019 -1.6456e-5 0.0299502 -0.0169751 -9.14618e-4 0.02999997 -0.002560019 -0.01751965 0.02999997 -9.14638e-4 -0.0169751 0.02999997 -4.53373e-4 -0.01695621 0.02996224 0.00876224 -0.01456767 0.02999997 9.14758e-4 -0.0169751 0.02999997 4.57447e-4 -0.01695626 0.02996248 0.01751965 -0.002560019 0.02999997 0.0169751 -9.14775e-4 0.02999997 0.01695626 -4.57342e-4 0.02996248 0.0169751 9.14618e-4 0.02999997 0.01695621 4.56468e-4 0.02996242 -0.01136094 -0.0367853 0.04149997 -0.01900637 -0.03348135 0.04149997 -0.01531755 -0.02979272 0.04149997 -0.0201106 -0.03282994 0.0402584 -0.02119863 -0.03213816 0.03899997 -0.01721459 -0.02815413 0.03899997 -0.003180325 -0.03836816 0.04149997 -0.001842558 -0.03344923 0.04149997 0.005152285 -0.03815358 0.04149997 -4.27461e-4 -0.03734344 0.04149997 -0.001593351 -0.03617739 0.04149997 -0.001166701 -0.03458327 0.04149997 0.01324373 -0.03615015 0.04149997 0.02367931 -0.02369695 0.04149997 0.001166701 -0.03691667 0.04149997 0.01195752 -0.03129327 0.04149997 0.03613954 -0.01327246 0.04149997 0.02071195 -0.03245365 0.04149997 0.0324372 -0.02073776 0.04149997 0.02721267 -0.02723443 0.04149997 0.03814947 -0.005182564 0.04149997 0.0383706 0.003149867 0.04149997 0.03734344 -4.27461e-4 0.04149997 0.03128373 -0.01198273 0.04149997 0.03679424 0.01133185 0.04149997 0.03532242 0.001593351 0.04149997 0.03691667 0.001166701 0.04149997 0.03349632 0.01898002 0.04149997 0.03345108 0.00181365 0.04149997 0.0341565 4.27461e-4 0.04149997 0.03215456 0.02117383 0.0324999 0.03284555 0.02008509 0.0402584 0.02816975 0.01718902 0.03899997 0.02980697 0.01529061 0.04149997 0.03215456 0.02117383 0.03899997 0.03182411 0.0216673 0.03108888 0.03099286 0.02284049 0.03049999 0.02919125 0.02510213 0.03049999 0.02722352 0.02722352 0.03049999 0.02511334 0.02918154 0.03049999 -0.02722352 -0.02722352 0.03049999 -0.02511334 -0.02918154 0.03049999 -0.02286422 -0.03097534 0.03049999 -0.02169179 -0.03180742 0.03108888 -0.02119863 -0.03213816 0.0324999 -0.02919125 -0.02510213 0.03049999 -0.03099286 -0.02284049 0.03049999 -0.03182411 -0.0216673 0.03108888 -0.01539176 -0.02633136 0.03899997 -0.01520842 -0.02614796 0.03874909 -0.01502609 -0.02596563 0.03849995 0.01136082 0.0367853 0.04149997 0.01900637 0.03348135 0.04149997 0.01531755 0.02979266 0.04149997 0.0201106 0.03282994 0.0402584 0.02119863 0.03213816 0.03899997 0.01721459 0.02815413 0.03899997 0.003180027 0.03836822 0.04149997 0.001843929 0.03344911 0.04149997 -0.005152583 0.03815352 0.04149997 4.27461e-4 0.03734344 0.04149997 0.001593351 0.03617739 0.04149997 0.001166701 0.03458327 0.04149997 -0.01324409 0.03614997 0.04149997 -0.02367568 0.02370065 0.04149997 -0.001166701 0.03691667 0.04149997 -0.01195436 0.03129446 0.04149997 -0.03613972 0.01327198 0.04149997 -0.02071243 0.03245341 0.04149997 -0.0324375 0.0207374 0.04149997 -0.02721303 0.02723401 0.04149997 -0.03814959 0.005182206 0.04149997 -0.0383706 -0.003150165 0.04149997 -0.03734344 4.27461e-4 0.04149997 -0.03128272 0.01198589 0.04149997 -0.03679412 -0.01133209 0.04149997 -0.03532242 -0.001593351 0.04149997 -0.03691667 -0.001166701 0.04149997 -0.03349632 -0.01898002 0.04149997 -0.03345125 -0.001812398 0.04149997 -0.0341565 -4.27461e-4 0.04149997 -0.03215456 -0.02117383 0.0324999 -0.03284555 -0.02008509 0.0402584 -0.02816975 -0.01718902 0.03899997 -0.02980715 -0.01529079 0.04149997 -0.03215456 -0.02117383 0.03899997 0.02286422 0.03097534 0.03049999 0.02169179 0.03180742 0.03108888 0.02119863 0.03213816 0.0324999 0.01502609 0.02596563 0.03899997 0.01647496 -1.79885e-6 0.02947497 1.75862e-6 -0.01647496 0.02947497 0.03691667 0.001166701 0.03159993 0.03734374 -4.27051e-4 0.03159993 0.0353229 0.001593708 0.03159993 0.03458327 -0.001166701 0.04149997 0.0341562 4.27051e-4 0.03159993 0.03617739 -0.001593351 0.04149997 0.03458327 -0.001166701 0.03159993 0.03617697 -0.001593708 0.03159993 -0.001593351 0.03532242 0.04149997 -0.001166701 0.03691667 0.03159993 4.27051e-4 0.03734374 0.03159993 -4.27461e-4 0.0341565 0.04149997 -0.001593708 0.0353229 0.03159993 -4.27051e-4 0.0341562 0.03159993 0.001166701 0.03458327 0.03159993 0.001593708 0.03617697 0.03159993 -0.03691667 -0.001166701 0.03159993 -0.03734374 4.27051e-4 0.03159993 -0.0353229 -0.001593708 0.03159993 -0.03458327 0.001166701 0.04149997 -0.0341562 -4.27051e-4 0.03159993 -0.03617739 0.001593351 0.04149997 -0.03458327 0.001166701 0.03159993 -0.03617697 0.001593708 0.03159993 0.001593351 -0.03532242 0.04149997 0.001166701 -0.03691667 0.03159993 -4.27051e-4 -0.03734374 0.03159993 4.27461e-4 -0.0341565 0.04149997 0.001593708 -0.0353229 0.03159993 4.27051e-4 -0.0341562 0.03159993 -0.001166701 -0.03458327 0.03159993 -0.001593708 -0.03617697 0.03159993 0.002055287 0.03293585 0.041 0.01631957 0.02868223 0.04000622 0.0153653 0.02948534 0.04124885 -0.01166415 0.03086984 0.04099982 -0.0233221 0.0233469 0.04099977 -0.03085803 0.01169502 0.04099959 -0.03293782 -0.002024233 0.04099953 -0.02869707 -0.01629346 0.0400061 -0.02949953 -0.01533865 0.04124855 -0.002053976 -0.03293591 0.04099994 -0.01631951 -0.02868223 0.04000627 -0.0153653 -0.02948534 0.04124885 0.01166725 -0.03086858 0.04099982 0.02332574 -0.02334326 0.04099977 0.03085923 -0.01169198 0.04099977 0.03293776 0.002025425 0.04099977 0.02869707 0.0162934 0.0400061 0.02949953 0.01533848 0.04124867 0.01541179 0.02917999 0.04100012 0.003434181 0.0328207 0.03899997 -0.01101517 0.03110694 0.03899997 -0.02332365 0.02334487 0.03899997 -0.03109699 0.01104348 0.03899997 -0.0328238 -0.003404319 0.03899997 -0.02919387 -0.01538532 0.04099953 -0.01541179 -0.02917999 0.04100006 -0.003434062 -0.0328207 0.03899997 0.01101523 -0.03110694 0.03899997 0.01037091 -0.02868252 0.03899997 -0.002772331 -0.03037375 0.03899997 0.02332371 -0.02334487 0.03899997 0.02155601 -0.02157735 0.03899997 0.03109699 -0.01104342 0.03899997 0.0328238 0.003404319 0.03899997 0.02867227 -0.01039928 0.03899997 0.03037643 0.00274235 0.03899997 0.02919405 0.01538515 0.04099977 0.02634656 0.01536571 0.03899997 2.38539e-6 -0.01694995 0.02994996 0.01694995 -1.28375e-6 0.02994996 0.0261631 0.01518225 0.03874909 0.03574997 0 0.03060853 0 0.03574997 0.03060853 -0.03574997 0 0.03060853 0 -0.03574997 0.03060853 -0.05939996 0.01856064 -0.1000212 -0.05939996 0.02256065 -0.1000212 -0.05939996 0.02456063 -0.1034853 -0.05909997 0.02456063 -0.1034853 -0.05939996 0.02056068 -0.1020419 -0.05939996 0.02181071 -0.1042069 -0.05939996 0.02256065 -0.1069494 -0.05909997 0.02256065 -0.1069494 -0.05939996 0.02181071 -0.1027636 -0.05909997 0.02256065 -0.1000212 -0.05939996 0.01931065 -0.1027636 -0.05939996 0.01656067 -0.1034853 -0.05909997 0.01856064 -0.1000212 -0.05939996 0.01856064 -0.1069494 -0.05909997 0.01656067 -0.1034853 -0.05939996 0.02056068 -0.1049286 -0.05939996 0.01931065 -0.1042069 -0.05909997 0.01856064 -0.1069494 -0.05759996 0.02181071 -0.1042069 -0.05759996 0.02181071 -0.1027636 -0.05759996 0.02056068 -0.1049286 -0.05759996 0.01931065 -0.1042069 -0.05759996 0.01931065 -0.1027636 -0.05759996 0.02056068 -0.1020419 -0.05709993 0.01856064 -0.1034853 -0.05709993 0.01914644 -0.1020711 -0.05709993 0.02056068 -0.1054853 -0.05709993 0.01914644 -0.1048995 -0.05709993 0.02197492 -0.1048995 -0.05709993 0.02256065 -0.1034853 -0.05499988 0.01856064 -0.1034853 -0.05499988 0.02056068 -0.1014854 -0.05499988 0.02056068 -0.1054852 -0.05499988 0.02256065 -0.1034853 -0.05709993 0.02197492 -0.1020711 -0.05499988 0.0189107 -0.1034853 -0.05499988 0.02056068 -0.1018353 -0.05499988 0.02056068 -0.1051353 -0.05499988 0.02221059 -0.1034853 -0.05709993 0.02056068 -0.1014853 -0.03439992 0.02221059 -0.1034853 -0.03439992 0.02056068 -0.1051353 -0.03439992 0.02056068 -0.1018353 -0.03439992 0.0189107 -0.1034853 -0.05939996 -0.0105102 -0.08797955 -0.05939996 -0.006510317 -0.08797955 -0.05939996 -0.004510283 -0.09144365 -0.05909997 -0.004510283 -0.09144365 -0.05939996 -0.008510291 -0.09000027 -0.05939996 -0.007260203 -0.09216535 -0.05939996 -0.006510317 -0.09490776 -0.05909997 -0.006510317 -0.09490776 -0.05939996 -0.007260203 -0.09072196 -0.05909997 -0.006510317 -0.08797955 -0.05939996 -0.00976032 -0.09072196 -0.05939996 -0.01251024 -0.09144365 -0.05909997 -0.0105102 -0.08797955 -0.05939996 -0.0105102 -0.09490776 -0.05909997 -0.01251024 -0.09144365 -0.05939996 -0.008510291 -0.09288704 -0.05939996 -0.00976032 -0.09216535 -0.05909997 -0.0105102 -0.09490776 -0.05759996 -0.007260203 -0.09216535 -0.05759996 -0.007260203 -0.09072196 -0.05759996 -0.008510291 -0.09288704 -0.05759996 -0.00976032 -0.09216535 -0.05759996 -0.00976032 -0.09072196 -0.05759996 -0.008510291 -0.09000027 -0.05709993 -0.0105102 -0.09144365 -0.05709993 -0.00992453 -0.09002941 -0.05709993 -0.008510291 -0.09344363 -0.05709993 -0.00992453 -0.09285789 -0.05709993 -0.007096052 -0.09285789 -0.05709993 -0.006510317 -0.09144365 -0.05499988 -0.0105102 -0.09144365 -0.05499988 -0.008510291 -0.08944374 -0.05499988 -0.008510291 -0.09344357 -0.05499988 -0.006510317 -0.09144365 -0.05709993 -0.007096052 -0.09002941 -0.05499988 -0.0101602 -0.09144365 -0.05499988 -0.008510291 -0.08979368 -0.05499988 -0.008510291 -0.09309363 -0.05499988 -0.006860256 -0.09144365 -0.05709993 -0.008510291 -0.08944368 -0.03439992 -0.006860256 -0.09144365 -0.03439992 -0.008510291 -0.09309363 -0.03439992 -0.008510291 -0.08979368 -0.03439992 -0.0101602 -0.09144365 -0.05939996 -0.02255189 -0.1170506 -0.05939996 -0.01855188 -0.1170506 -0.05939996 -0.01655191 -0.1205147 -0.05909997 -0.01655191 -0.1205147 -0.05939996 -0.02055186 -0.1190713 -0.05939996 -0.01930189 -0.1212364 -0.05939996 -0.01855188 -0.1239788 -0.05909997 -0.01855188 -0.1239788 -0.05939996 -0.01930189 -0.1197929 -0.05909997 -0.01855188 -0.1170506 -0.05939996 -0.02180182 -0.1197929 -0.05939996 -0.02455186 -0.1205147 -0.05909997 -0.02255189 -0.1170506 -0.05939996 -0.02255189 -0.1239788 -0.05909997 -0.02455186 -0.1205147 -0.05939996 -0.02055186 -0.1219581 -0.05939996 -0.02180182 -0.1212364 -0.05909997 -0.02255189 -0.1239788 -0.05759996 -0.01930189 -0.1212364 -0.05759996 -0.01930189 -0.1197929 -0.05759996 -0.02055186 -0.1219581 -0.05759996 -0.02180182 -0.1212364 -0.05759996 -0.02180182 -0.1197929 -0.05759996 -0.02055186 -0.1190713 -0.05709993 -0.02255189 -0.1205147 -0.05709993 -0.02196604 -0.1191005 -0.05709993 -0.02055186 -0.1225147 -0.05709993 -0.02196604 -0.1219289 -0.05709993 -0.01913768 -0.1219289 -0.05709993 -0.01855188 -0.1205147 -0.05499988 -0.02255189 -0.1205147 -0.05499988 -0.02055186 -0.1185148 -0.05499988 -0.02055186 -0.1225146 -0.05499988 -0.01855188 -0.1205147 -0.05709993 -0.01913768 -0.1191005 -0.05499988 -0.02220189 -0.1205147 -0.05499988 -0.02055186 -0.1188647 -0.05499988 -0.02055186 -0.1221647 -0.05499988 -0.01890188 -0.1205147 -0.05709993 -0.02055186 -0.1185147 -0.03439992 -0.01890188 -0.1205147 -0.03439992 -0.02055186 -0.1221647 -0.03439992 -0.02055186 -0.1188647 -0.03439992 -0.02220189 -0.1205147 -0.05939996 0.006519079 -0.1290922 -0.05939996 0.01051902 -0.1290922 -0.05939996 0.01251906 -0.1325563 -0.05909997 0.01251906 -0.1325563 -0.05939996 0.008519053 -0.1311129 -0.05939996 0.009769082 -0.133278 -0.05939996 0.01051902 -0.1360204 -0.05909997 0.01051902 -0.1360204 -0.05939996 0.009769082 -0.1318346 -0.05909997 0.01051902 -0.1290922 -0.05939996 0.007269084 -0.1318346 -0.05939996 0.004519045 -0.1325563 -0.05909997 0.006519079 -0.1290922 -0.05939996 0.006519079 -0.1360204 -0.05909997 0.004519045 -0.1325563 -0.05939996 0.008519053 -0.1339997 -0.05939996 0.007269084 -0.133278 -0.05909997 0.006519079 -0.1360204 -0.05759996 0.009769082 -0.133278 -0.05759996 0.009769082 -0.1318346 -0.05759996 0.008519053 -0.1339997 -0.05759996 0.007269084 -0.133278 -0.05759996 0.007269084 -0.1318346 -0.05759996 0.008519053 -0.1311129 -0.05709993 0.006519079 -0.1325563 -0.05709993 0.007104873 -0.1311421 -0.05709993 0.008519053 -0.1345562 -0.05709993 0.007104873 -0.1339704 -0.05709993 0.009933292 -0.1339704 -0.05709993 0.01051902 -0.1325563 -0.05499988 0.006519079 -0.1325563 -0.05499988 0.008519053 -0.1305564 -0.05499988 0.008519053 -0.1345562 -0.05499988 0.01051902 -0.1325563 -0.05709993 0.009933292 -0.1311421 -0.05499988 0.006869077 -0.1325563 -0.05499988 0.008519053 -0.1309063 -0.05499988 0.008519053 -0.1342062 -0.05499988 0.01016902 -0.1325563 -0.05709993 0.008519053 -0.1305563 -0.03439992 0.01016902 -0.1325563 -0.03439992 0.008519053 -0.1342062 -0.03439992 0.008519053 -0.1309063 -0.03439992 0.006869077 -0.1325563 -0.05939996 -0.01051008 -0.1290922 -0.05939996 -0.006510436 -0.1290922 -0.05939996 -0.004510283 -0.1325563 -0.05909997 -0.004510283 -0.1325563 -0.05939996 -0.008510291 -0.1311129 -0.05939996 -0.007260203 -0.133278 -0.05939996 -0.006510436 -0.1360204 -0.05909997 -0.006510317 -0.1360204 -0.05939996 -0.007260203 -0.1318346 -0.05909997 -0.006510317 -0.1290922 -0.05939996 -0.00976032 -0.1318346 -0.05939996 -0.01251024 -0.1325563 -0.05909997 -0.0105102 -0.1290922 -0.05939996 -0.01051008 -0.1360204 -0.05909997 -0.01251024 -0.1325563 -0.05939996 -0.008510291 -0.1339997 -0.05939996 -0.00976032 -0.133278 -0.05909997 -0.0105102 -0.1360204 -0.05759996 -0.007260203 -0.133278 -0.05759996 -0.007260203 -0.1318346 -0.05759996 -0.008510291 -0.1339997 -0.05759996 -0.00976032 -0.133278 -0.05759996 -0.00976032 -0.1318346 -0.05759996 -0.008510291 -0.1311129 -0.05709993 -0.0105102 -0.1325563 -0.05709993 -0.00992453 -0.1311421 -0.05709993 -0.008510291 -0.1345562 -0.05709993 -0.00992453 -0.1339704 -0.05709993 -0.007096052 -0.1339704 -0.05709993 -0.006510317 -0.1325563 -0.05499988 -0.0105102 -0.1325563 -0.05499988 -0.008510291 -0.1305563 -0.05499988 -0.008510291 -0.1345562 -0.05499988 -0.006510317 -0.1325563 -0.05709993 -0.007096052 -0.1311421 -0.05499988 -0.0101602 -0.1325563 -0.05499988 -0.008510291 -0.1309063 -0.05499988 -0.008510291 -0.1342062 -0.05499988 -0.006860256 -0.1325563 -0.05709993 -0.008510291 -0.1305563 -0.05139994 -0.006860256 -0.1325563 -0.05139994 -0.008510291 -0.1342062 -0.05139994 -0.008510291 -0.1309063 -0.05139994 -0.0101602 -0.1325563 -0.05939996 0.01856076 -0.1170505 -0.05939996 0.02256047 -0.1170505 -0.05939996 0.02456063 -0.1205147 -0.05909997 0.02456063 -0.1205147 -0.05939996 0.02056068 -0.1190713 -0.05939996 0.02181071 -0.1212364 -0.05939996 0.02256047 -0.1239788 -0.05909997 0.02256065 -0.1239788 -0.05939996 0.02181071 -0.1197929 -0.05909997 0.02256065 -0.1170506 -0.05939996 0.01931065 -0.1197929 -0.05939996 0.01656067 -0.1205147 -0.05909997 0.01856064 -0.1170506 -0.05939996 0.01856076 -0.1239788 -0.05909997 0.01656067 -0.1205147 -0.05939996 0.02056068 -0.1219581 -0.05939996 0.01931065 -0.1212364 -0.05909997 0.01856064 -0.1239788 -0.05759996 0.02181071 -0.1212364 -0.05759996 0.02181071 -0.1197929 -0.05759996 0.02056068 -0.1219581 -0.05759996 0.01931065 -0.1212364 -0.05759996 0.01931065 -0.1197929 -0.05759996 0.02056068 -0.1190713 -0.05709993 0.01856064 -0.1205147 -0.05709993 0.01914644 -0.1191005 -0.05709993 0.02056068 -0.1225147 -0.05709993 0.01914644 -0.1219289 -0.05709993 0.02197492 -0.1219289 -0.05709993 0.02256065 -0.1205147 -0.05499988 0.01856064 -0.1205147 -0.05499988 0.02056068 -0.1185147 -0.05499988 0.02056068 -0.1225147 -0.05499988 0.02256065 -0.1205147 -0.05709993 0.02197492 -0.1191005 -0.05499988 0.0189107 -0.1205147 -0.05499988 0.02056068 -0.1188647 -0.05499988 0.02056068 -0.1221647 -0.05499988 0.02221059 -0.1205147 -0.05709993 0.02056068 -0.1185147 -0.05139994 0.02221059 -0.1205147 -0.05139994 0.02056068 -0.1221647 -0.05139994 0.02056068 -0.1188647 -0.05139994 0.0189107 -0.1205147 -0.05939996 0.006519198 -0.08797949 -0.05939996 0.0105189 -0.08797949 -0.05939996 0.01251906 -0.09144365 -0.05909997 0.01251906 -0.09144365 -0.05939996 0.008519053 -0.09000027 -0.05939996 0.009769082 -0.09216535 -0.05939996 0.0105189 -0.09490782 -0.05909997 0.01051902 -0.09490776 -0.05939996 0.009769082 -0.09072196 -0.05909997 0.01051902 -0.08797955 -0.05939996 0.007269084 -0.09072196 -0.05939996 0.004519045 -0.09144365 -0.05909997 0.006519079 -0.08797955 -0.05939996 0.006519198 -0.09490782 -0.05909997 0.004519045 -0.09144365 -0.05939996 0.008519053 -0.09288704 -0.05939996 0.007269084 -0.09216535 -0.05909997 0.006519079 -0.09490776 -0.05759996 0.009769082 -0.09216535 -0.05759996 0.009769082 -0.09072196 -0.05759996 0.008519053 -0.09288704 -0.05759996 0.007269084 -0.09216535 -0.05759996 0.007269084 -0.09072196 -0.05759996 0.008519053 -0.09000027 -0.05709993 0.006519079 -0.09144365 -0.05709993 0.007104873 -0.09002941 -0.05709993 0.008519053 -0.09344363 -0.05709993 0.007104873 -0.09285789 -0.05709993 0.009933292 -0.09285789 -0.05709993 0.01051902 -0.09144365 -0.05499988 0.006519079 -0.09144365 -0.05499988 0.008519053 -0.08944368 -0.05499988 0.008519053 -0.09344363 -0.05499988 0.01051902 -0.09144365 -0.05709993 0.009933292 -0.09002941 -0.05499988 0.006869077 -0.09144365 -0.05499988 0.008519053 -0.08979368 -0.05499988 0.008519053 -0.09309363 -0.05499988 0.01016902 -0.09144365 -0.05709993 0.008519053 -0.08944368 -0.05139994 0.01016902 -0.09144365 -0.05139994 0.008519053 -0.09309363 -0.05139994 0.008519053 -0.08979368 -0.05139994 0.006869077 -0.09144365 -0.05939996 -0.01051008 -0.08797949 -0.05939996 -0.006510436 -0.08797949 -0.05939996 -0.006510436 -0.09490782 -0.05939996 -0.01051008 -0.09490782 -0.05499988 -0.008510291 -0.08944368 -0.05499988 -0.008510291 -0.09344363 -0.05139994 -0.006860256 -0.09144365 -0.05139994 -0.008510291 -0.09309363 -0.05139994 -0.008510291 -0.08979368 -0.05139994 -0.0101602 -0.09144365 -0.05939996 -0.02255177 -0.1000211 -0.05939996 -0.018552 -0.1000211 -0.05939996 -0.01655191 -0.1034853 -0.05909997 -0.01655191 -0.1034853 -0.05939996 -0.02055186 -0.1020419 -0.05939996 -0.01930189 -0.1042069 -0.05939996 -0.018552 -0.1069494 -0.05909997 -0.01855188 -0.1069494 -0.05939996 -0.01930189 -0.1027636 -0.05909997 -0.01855188 -0.1000212 -0.05939996 -0.02180182 -0.1027636 -0.05939996 -0.02455186 -0.1034853 -0.05909997 -0.02255189 -0.1000212 -0.05939996 -0.02255177 -0.1069494 -0.05909997 -0.02455186 -0.1034853 -0.05939996 -0.02055186 -0.1049286 -0.05939996 -0.02180182 -0.1042069 -0.05909997 -0.02255189 -0.1069494 -0.05759996 -0.01930189 -0.1042069 -0.05759996 -0.01930189 -0.1027636 -0.05759996 -0.02055186 -0.1049286 -0.05759996 -0.02180182 -0.1042069 -0.05759996 -0.02180182 -0.1027636 -0.05759996 -0.02055186 -0.1020419 -0.05709993 -0.02255189 -0.1034853 -0.05709993 -0.02196604 -0.1020711 -0.05709993 -0.02055186 -0.1054853 -0.05709993 -0.02196604 -0.1048995 -0.05709993 -0.01913768 -0.1048995 -0.05709993 -0.01855188 -0.1034853 -0.05499988 -0.02255189 -0.1034853 -0.05499988 -0.02055186 -0.1014853 -0.05499988 -0.02055186 -0.1054852 -0.05499988 -0.01855188 -0.1034853 -0.05709993 -0.01913768 -0.1020711 -0.05499988 -0.02220189 -0.1034853 -0.05499988 -0.02055186 -0.1018353 -0.05499988 -0.02055186 -0.1051353 -0.05499988 -0.01890188 -0.1034853 -0.05709993 -0.02055186 -0.1014853 -0.05139994 -0.01890188 -0.1034853 -0.05139994 -0.02055186 -0.1051353 -0.05139994 -0.02055186 -0.1018353 -0.05139994 -0.02220189 -0.1034853 -0.05939996 -0.02255177 -0.1170505 -0.05939996 -0.018552 -0.1170505 -0.05939996 -0.018552 -0.1239788 -0.05939996 -0.02255177 -0.1239788 -0.05499988 -0.02055186 -0.1185147 -0.05499988 -0.02055186 -0.1225147 -0.05139994 -0.01890188 -0.1205147 -0.05139994 -0.02055186 -0.1221647 -0.05139994 -0.02055186 -0.1188647 -0.05139994 -0.02220189 -0.1205147 0.03149998 -0.007438242 -0.02265512 0.03149998 -0.00937891 -0.0228784 0.03149998 -0.0115 -0.02199995 0.02849996 -0.0115 -0.02199995 0.03149998 -0.0115 -0.02030998 0.03149998 -0.01362103 -0.0228784 0.02849996 -0.01362103 -0.0228784 0.03149998 -0.008500039 -0.02499997 0.02849996 -0.00937891 -0.0228784 0.03149998 -0.00937891 -0.02712148 0.02849996 -0.008500039 -0.02499997 0.03149998 -0.0115 -0.0296899 0.03149998 -0.0115 -0.02799993 0.02849996 -0.00937891 -0.02712148 0.03149998 -0.007438242 -0.02734476 0.03149998 -0.01556164 -0.02734476 0.03149998 -0.01362103 -0.02712148 0.02849996 -0.0115 -0.02799993 0.03149998 -0.0144999 -0.02499997 0.02849996 -0.01362103 -0.02712148 0.02849996 -0.0144999 -0.02499997 0.03149998 -0.01556164 -0.02265512 0.0315907 -0.0115 -0.02009069 0.03180992 -0.007169783 -0.02249991 0.03180992 -0.01583003 -0.02249991 0.03180992 -0.0115 -0.01999998 0.03180992 -0.01583003 -0.02749997 0.0315907 -0.0115 -0.02990919 0.03180992 -0.007169783 -0.02749997 0.03180992 -0.0115 -0.02999997 0.02849996 -0.0115 -0.02749997 0.02849996 -0.009732186 -0.02676773 0.02849996 -0.01399993 -0.02499997 0.02849996 -0.01326769 -0.02676773 0.02849996 -0.01326769 -0.02323222 0.02849996 -0.0115 -0.02249991 0.02849996 -0.009732186 -0.02323222 0.01549988 -0.0115 -0.02249991 0.01549988 -0.01326769 -0.02323222 0.02849996 -0.008999943 -0.02499997 0.01549988 -0.009732186 -0.02323222 0.01549988 -0.008999943 -0.02499997 0.01549988 -0.009732186 -0.02676773 0.01549988 -0.0115 -0.02749997 0.01549988 -0.01326769 -0.02676773 0.01549988 -0.01399993 -0.02499997 0.03749996 -0.01005661 -0.02249991 0.03749996 -0.007689476 -0.0227999 0.03749996 -0.0115 -0.02059996 0.03689998 -0.0115 -0.01999998 0.03749996 -0.01294326 -0.02249991 0.03749996 -0.0153104 -0.0227999 0.03689998 -0.01583003 -0.02249991 0.03749996 -0.008613228 -0.02499997 0.03749996 -0.007689476 -0.02719998 0.03689998 -0.007169783 -0.02249991 0.03749996 -0.01005661 -0.02749997 0.03749996 -0.0115 -0.02939999 0.03689998 -0.007169783 -0.02749997 0.03749996 -0.01294326 -0.02749997 0.03749996 -0.0153104 -0.02719998 0.03689998 -0.0115 -0.02999997 0.03749996 -0.01438671 -0.02499997 0.03689998 -0.01583003 -0.02749997 0.0345 -0.01294326 -0.02249991 0.0345 -0.01005661 -0.02249991 0.0345 -0.01438671 -0.02499997 0.0345 -0.01294326 -0.02749997 0.0345 -0.01005661 -0.02749997 0.0345 -0.008613228 -0.02499997 0.03149998 -0.007438242 0.01734477 0.03149998 -0.00937891 0.01712149 0.03149998 -0.0115 0.01799988 0.02849996 -0.0115 0.01799988 0.03149998 -0.0115 0.01968991 0.03149998 -0.01362103 0.01712149 0.02849996 -0.01362103 0.01712149 0.03149998 -0.008500039 0.01499992 0.02849996 -0.00937891 0.01712149 0.03149998 -0.00937891 0.01287841 0.02849996 -0.008500039 0.01499992 0.03149998 -0.0115 0.01030999 0.03149998 -0.0115 0.01199996 0.02849996 -0.00937891 0.01287841 0.03149998 -0.007438242 0.01265513 0.03149998 -0.01556164 0.01265513 0.03149998 -0.01362103 0.01287841 0.02849996 -0.0115 0.01199996 0.03149998 -0.0144999 0.01499992 0.02849996 -0.01362103 0.01287841 0.02849996 -0.0144999 0.01499992 0.03149998 -0.01556164 0.01734477 0.0315907 -0.0115 0.0199092 0.03180992 -0.007169783 0.01749998 0.03180992 -0.01583003 0.01749998 0.03180992 -0.0115 0.01999998 0.03180992 -0.01583003 0.01249992 0.0315907 -0.0115 0.0100907 0.03180992 -0.007169783 0.01249992 0.03180992 -0.0115 0.00999999 0.02849996 -0.0115 0.01249992 0.02849996 -0.009732186 0.01323223 0.02849996 -0.01399993 0.01499992 0.02849996 -0.01326769 0.01323223 0.02849996 -0.01326769 0.01676774 0.02849996 -0.0115 0.01749998 0.02849996 -0.009732186 0.01676774 0.01549988 -0.0115 0.01749998 0.01549988 -0.01326769 0.01676774 0.02849996 -0.008999943 0.01499992 0.01549988 -0.009732186 0.01676774 0.01549988 -0.008999943 0.01499992 0.01549988 -0.009732186 0.01323223 0.01549988 -0.0115 0.01249992 0.01549988 -0.01326769 0.01323223 0.01549988 -0.01399993 0.01499992 0.03749996 -0.01005661 0.01749998 0.03749996 -0.007689476 0.01719999 0.03749996 -0.0115 0.0194 0.03689998 -0.0115 0.01999998 0.03749996 -0.01294326 0.01749998 0.03749996 -0.0153104 0.01719999 0.03689998 -0.01583003 0.01749998 0.03749996 -0.008613228 0.01499992 0.03749996 -0.007689476 0.01279991 0.03689998 -0.007169783 0.01749998 0.03749996 -0.01005661 0.01249992 0.03749996 -0.0115 0.01059997 0.03689998 -0.007169783 0.01249992 0.03749996 -0.01294326 0.01249992 0.03749996 -0.0153104 0.01279991 0.03689998 -0.0115 0.00999999 0.03749996 -0.01438671 0.01499992 0.03689998 -0.01583003 0.01249992 0.0345 -0.01294326 0.01749998 0.0345 -0.01005661 0.01749998 0.0345 -0.01438671 0.01499992 0.0345 -0.01294326 0.01249992 0.0345 -0.01005661 0.01249992 0.0345 -0.008613228 0.01499992 0.03149998 0.01556164 -0.02265512 0.03149998 0.01362103 -0.0228784 0.03149998 0.0115 -0.02199995 0.02849996 0.0115 -0.02199995 0.03149998 0.0115 -0.02030998 0.03149998 0.00937891 -0.0228784 0.02849996 0.00937891 -0.0228784 0.03149998 0.0144999 -0.02499997 0.02849996 0.01362103 -0.0228784 0.03149998 0.01362103 -0.02712148 0.02849996 0.0144999 -0.02499997 0.03149998 0.0115 -0.0296899 0.03149998 0.0115 -0.02799993 0.02849996 0.01362103 -0.02712148 0.03149998 0.01556164 -0.02734476 0.03149998 0.007438242 -0.02734476 0.03149998 0.00937891 -0.02712148 0.02849996 0.0115 -0.02799993 0.03149998 0.008500039 -0.02499997 0.02849996 0.00937891 -0.02712148 0.02849996 0.008500039 -0.02499997 0.03149998 0.007438242 -0.02265512 0.0315907 0.0115 -0.02009069 0.03180992 0.01583003 -0.02249991 0.03180992 0.007169783 -0.02249991 0.03180992 0.0115 -0.01999998 0.03180992 0.007169783 -0.02749997 0.0315907 0.0115 -0.02990919 0.03180992 0.01583003 -0.02749997 0.03180992 0.0115 -0.02999997 0.02849996 0.0115 -0.02749997 0.02849996 0.01326769 -0.02676773 0.02849996 0.008999943 -0.02499997 0.02849996 0.009732186 -0.02676773 0.02849996 0.009732186 -0.02323222 0.02849996 0.0115 -0.02249991 0.02849996 0.01326769 -0.02323222 0.01549988 0.0115 -0.02249991 0.01549988 0.009732186 -0.02323222 0.02849996 0.01399993 -0.02499997 0.01549988 0.01326769 -0.02323222 0.01549988 0.01399993 -0.02499997 0.01549988 0.01326769 -0.02676773 0.01549988 0.0115 -0.02749997 0.01549988 0.009732186 -0.02676773 0.01549988 0.008999943 -0.02499997 0.03749996 0.01294326 -0.02249991 0.03749996 0.0153104 -0.0227999 0.03749996 0.0115 -0.02059996 0.03689998 0.0115 -0.01999998 0.03749996 0.01005661 -0.02249991 0.03749996 0.007689476 -0.0227999 0.03689998 0.007169783 -0.02249991 0.03749996 0.01438671 -0.02499997 0.03749996 0.0153104 -0.02719998 0.03689998 0.01583003 -0.02249991 0.03749996 0.01294326 -0.02749997 0.03749996 0.0115 -0.02939999 0.03689998 0.01583003 -0.02749997 0.03749996 0.01005661 -0.02749997 0.03749996 0.007689476 -0.02719998 0.03689998 0.0115 -0.02999997 0.03749996 0.008613228 -0.02499997 0.03689998 0.007169783 -0.02749997 0.0345 0.01005661 -0.02249991 0.0345 0.01294326 -0.02249991 0.0345 0.008613228 -0.02499997 0.0345 0.01005661 -0.02749997 0.0345 0.01294326 -0.02749997 0.0345 0.01438671 -0.02499997 0.03149998 0.01556164 0.01734477 0.03149998 0.01362103 0.01712149 0.03149998 0.0115 0.01799988 0.02849996 0.0115 0.01799988 0.03149998 0.0115 0.01968991 0.03149998 0.00937891 0.01712149 0.02849996 0.00937891 0.01712149 0.03149998 0.0144999 0.01499992 0.02849996 0.01362103 0.01712149 0.03149998 0.01362103 0.01287841 0.02849996 0.0144999 0.01499992 0.03149998 0.0115 0.01030999 0.03149998 0.0115 0.01199996 0.02849996 0.01362103 0.01287841 0.03149998 0.01556164 0.01265513 0.03149998 0.007438242 0.01265513 0.03149998 0.00937891 0.01287841 0.02849996 0.0115 0.01199996 0.03149998 0.008500039 0.01499992 0.02849996 0.00937891 0.01287841 0.02849996 0.008500039 0.01499992 0.03149998 0.007438242 0.01734477 0.0315907 0.0115 0.0199092 0.03180992 0.01583003 0.01749998 0.03180992 0.007169783 0.01749998 0.03180992 0.0115 0.01999998 0.03180992 0.007169783 0.01249992 0.0315907 0.0115 0.0100907 0.03180992 0.01583003 0.01249992 0.03180992 0.0115 0.00999999 0.02849996 0.0115 0.01249992 0.02849996 0.01326769 0.01323223 0.02849996 0.008999943 0.01499992 0.02849996 0.009732186 0.01323223 0.02849996 0.009732186 0.01676774 0.02849996 0.0115 0.01749998 0.02849996 0.01326769 0.01676774 0.01549988 0.0115 0.01749998 0.01549988 0.009732186 0.01676774 0.02849996 0.01399993 0.01499992 0.01549988 0.01326769 0.01676774 0.01549988 0.01399993 0.01499992 0.01549988 0.01326769 0.01323223 0.01549988 0.0115 0.01249992 0.01549988 0.009732186 0.01323223 0.01549988 0.008999943 0.01499992 0.03749996 0.01294326 0.01749998 0.03749996 0.0153104 0.01719999 0.03749996 0.0115 0.0194 0.03689998 0.0115 0.01999998 0.03749996 0.01005661 0.01749998 0.03749996 0.007689476 0.01719999 0.03689998 0.007169783 0.01749998 0.03749996 0.01438671 0.01499992 0.03749996 0.0153104 0.01279991 0.03689998 0.01583003 0.01749998 0.03749996 0.01294326 0.01249992 0.03749996 0.0115 0.01059997 0.03689998 0.01583003 0.01249992 0.03749996 0.01005661 0.01249992 0.03749996 0.007689476 0.01279991 0.03689998 0.0115 0.00999999 0.03749996 0.008613228 0.01499992 0.03689998 0.007169783 0.01249992 0.0345 0.01005661 0.01749998 0.0345 0.01294326 0.01749998 0.0345 0.008613228 0.01499992 0.0345 0.01005661 0.01249992 0.0345 0.01294326 0.01249992 0.0345 0.01438671 0.01499992 -0.03149998 0.007438242 -0.02265512 -0.03149998 0.00937891 -0.0228784 -0.03149998 0.0115 -0.02199995 -0.02849996 0.0115 -0.02199995 -0.03149998 0.0115 -0.02030998 -0.03149998 0.01362103 -0.0228784 -0.02849996 0.01362103 -0.0228784 -0.03149998 0.008500039 -0.02499997 -0.02849996 0.00937891 -0.0228784 -0.03149998 0.00937891 -0.02712148 -0.02849996 0.008500039 -0.02499997 -0.03149998 0.0115 -0.0296899 -0.03149998 0.0115 -0.02799993 -0.02849996 0.00937891 -0.02712148 -0.03149998 0.007438242 -0.02734476 -0.03149998 0.01556164 -0.02734476 -0.03149998 0.01362103 -0.02712148 -0.02849996 0.0115 -0.02799993 -0.03149998 0.0144999 -0.02499997 -0.02849996 0.01362103 -0.02712148 -0.02849996 0.0144999 -0.02499997 -0.03149998 0.01556164 -0.02265512 -0.0315907 0.0115 -0.02009069 -0.03180992 0.007169783 -0.02249991 -0.03180992 0.01583003 -0.02249991 -0.03180992 0.0115 -0.01999998 -0.03180992 0.01583003 -0.02749997 -0.0315907 0.0115 -0.02990919 -0.03180992 0.007169783 -0.02749997 -0.03180992 0.0115 -0.02999997 -0.02849996 0.0115 -0.02749997 -0.02849996 0.009732186 -0.02676773 -0.02849996 0.01399993 -0.02499997 -0.02849996 0.01326769 -0.02676773 -0.02849996 0.01326769 -0.02323222 -0.02849996 0.0115 -0.02249991 -0.02849996 0.009732186 -0.02323222 -0.01549988 0.0115 -0.02249991 -0.01549988 0.01326769 -0.02323222 -0.02849996 0.008999943 -0.02499997 -0.01549988 0.009732186 -0.02323222 -0.01549988 0.008999943 -0.02499997 -0.01549988 0.009732186 -0.02676773 -0.01549988 0.0115 -0.02749997 -0.01549988 0.01326769 -0.02676773 -0.01549988 0.01399993 -0.02499997 -0.03749996 0.01005661 -0.02249991 -0.03749996 0.007689476 -0.0227999 -0.03749996 0.0115 -0.02059996 -0.03689998 0.0115 -0.01999998 -0.03749996 0.01294326 -0.02249991 -0.03749996 0.0153104 -0.0227999 -0.03689998 0.01583003 -0.02249991 -0.03749996 0.008613228 -0.02499997 -0.03749996 0.007689476 -0.02719998 -0.03689998 0.007169783 -0.02249991 -0.03749996 0.01005661 -0.02749997 -0.03749996 0.0115 -0.02939999 -0.03689998 0.007169783 -0.02749997 -0.03749996 0.01294326 -0.02749997 -0.03749996 0.0153104 -0.02719998 -0.03689998 0.0115 -0.02999997 -0.03749996 0.01438671 -0.02499997 -0.03689998 0.01583003 -0.02749997 -0.0345 0.01294326 -0.02249991 -0.0345 0.01005661 -0.02249991 -0.0345 0.01438671 -0.02499997 -0.0345 0.01294326 -0.02749997 -0.0345 0.01005661 -0.02749997 -0.0345 0.008613228 -0.02499997 -0.03149998 0.007438242 0.01734477 -0.03149998 0.00937891 0.01712149 -0.03149998 0.0115 0.01799988 -0.02849996 0.0115 0.01799988 -0.03149998 0.0115 0.01968991 -0.03149998 0.01362103 0.01712149 -0.02849996 0.01362103 0.01712149 -0.03149998 0.008500039 0.01499992 -0.02849996 0.00937891 0.01712149 -0.03149998 0.00937891 0.01287841 -0.02849996 0.008500039 0.01499992 -0.03149998 0.0115 0.01030999 -0.03149998 0.0115 0.01199996 -0.02849996 0.00937891 0.01287841 -0.03149998 0.007438242 0.01265513 -0.03149998 0.01556164 0.01265513 -0.03149998 0.01362103 0.01287841 -0.02849996 0.0115 0.01199996 -0.03149998 0.0144999 0.01499992 -0.02849996 0.01362103 0.01287841 -0.02849996 0.0144999 0.01499992 -0.03149998 0.01556164 0.01734477 -0.0315907 0.0115 0.0199092 -0.03180992 0.007169783 0.01749998 -0.03180992 0.01583003 0.01749998 -0.03180992 0.0115 0.01999998 -0.03180992 0.01583003 0.01249992 -0.0315907 0.0115 0.0100907 -0.03180992 0.007169783 0.01249992 -0.03180992 0.0115 0.00999999 -0.02849996 0.0115 0.01249992 -0.02849996 0.009732186 0.01323223 -0.02849996 0.01399993 0.01499992 -0.02849996 0.01326769 0.01323223 -0.02849996 0.01326769 0.01676774 -0.02849996 0.0115 0.01749998 -0.02849996 0.009732186 0.01676774 -0.01549988 0.0115 0.01749998 -0.01549988 0.01326769 0.01676774 -0.02849996 0.008999943 0.01499992 -0.01549988 0.009732186 0.01676774 -0.01549988 0.008999943 0.01499992 -0.01549988 0.009732186 0.01323223 -0.01549988 0.0115 0.01249992 -0.01549988 0.01326769 0.01323223 -0.01549988 0.01399993 0.01499992 -0.03749996 0.01005661 0.01749998 -0.03749996 0.007689476 0.01719999 -0.03749996 0.0115 0.0194 -0.03689998 0.0115 0.01999998 -0.03749996 0.01294326 0.01749998 -0.03749996 0.0153104 0.01719999 -0.03689998 0.01583003 0.01749998 -0.03749996 0.008613228 0.01499992 -0.03749996 0.007689476 0.01279991 -0.03689998 0.007169783 0.01749998 -0.03749996 0.01005661 0.01249992 -0.03749996 0.0115 0.01059997 -0.03689998 0.007169783 0.01249992 -0.03749996 0.01294326 0.01249992 -0.03749996 0.0153104 0.01279991 -0.03689998 0.0115 0.00999999 -0.03749996 0.01438671 0.01499992 -0.03689998 0.01583003 0.01249992 -0.0345 0.01294326 0.01749998 -0.0345 0.01005661 0.01749998 -0.0345 0.01438671 0.01499992 -0.0345 0.01294326 0.01249992 -0.0345 0.01005661 0.01249992 -0.0345 0.008613228 0.01499992 -0.03149998 -0.01556164 -0.02265512 -0.03149998 -0.01362103 -0.0228784 -0.03149998 -0.0115 -0.02199995 -0.02849996 -0.0115 -0.02199995 -0.03149998 -0.0115 -0.02030998 -0.03149998 -0.00937891 -0.0228784 -0.02849996 -0.00937891 -0.0228784 -0.03149998 -0.0144999 -0.02499997 -0.02849996 -0.01362103 -0.0228784 -0.03149998 -0.01362103 -0.02712148 -0.02849996 -0.0144999 -0.02499997 -0.03149998 -0.0115 -0.0296899 -0.03149998 -0.0115 -0.02799993 -0.02849996 -0.01362103 -0.02712148 -0.03149998 -0.01556164 -0.02734476 -0.03149998 -0.007438242 -0.02734476 -0.03149998 -0.00937891 -0.02712148 -0.02849996 -0.0115 -0.02799993 -0.03149998 -0.008500039 -0.02499997 -0.02849996 -0.00937891 -0.02712148 -0.02849996 -0.008500039 -0.02499997 -0.03149998 -0.007438242 -0.02265512 -0.0315907 -0.0115 -0.02009069 -0.03180992 -0.01583003 -0.02249991 -0.03180992 -0.007169783 -0.02249991 -0.03180992 -0.0115 -0.01999998 -0.03180992 -0.007169783 -0.02749997 -0.0315907 -0.0115 -0.02990919 -0.03180992 -0.01583003 -0.02749997 -0.03180992 -0.0115 -0.02999997 -0.02849996 -0.0115 -0.02749997 -0.02849996 -0.01326769 -0.02676773 -0.02849996 -0.008999943 -0.02499997 -0.02849996 -0.009732186 -0.02676773 -0.02849996 -0.009732186 -0.02323222 -0.02849996 -0.0115 -0.02249991 -0.02849996 -0.01326769 -0.02323222 -0.01549988 -0.0115 -0.02249991 -0.01549988 -0.009732186 -0.02323222 -0.02849996 -0.01399993 -0.02499997 -0.01549988 -0.01326769 -0.02323222 -0.01549988 -0.01399993 -0.02499997 -0.01549988 -0.01326769 -0.02676773 -0.01549988 -0.0115 -0.02749997 -0.01549988 -0.009732186 -0.02676773 -0.01549988 -0.008999943 -0.02499997 -0.03749996 -0.01294326 -0.02249991 -0.03749996 -0.0153104 -0.0227999 -0.03749996 -0.0115 -0.02059996 -0.03689998 -0.0115 -0.01999998 -0.03749996 -0.01005661 -0.02249991 -0.03749996 -0.007689476 -0.0227999 -0.03689998 -0.007169783 -0.02249991 -0.03749996 -0.01438671 -0.02499997 -0.03749996 -0.0153104 -0.02719998 -0.03689998 -0.01583003 -0.02249991 -0.03749996 -0.01294326 -0.02749997 -0.03749996 -0.0115 -0.02939999 -0.03689998 -0.01583003 -0.02749997 -0.03749996 -0.01005661 -0.02749997 -0.03749996 -0.007689476 -0.02719998 -0.03689998 -0.0115 -0.02999997 -0.03749996 -0.008613228 -0.02499997 -0.03689998 -0.007169783 -0.02749997 -0.0345 -0.01005661 -0.02249991 -0.0345 -0.01294326 -0.02249991 -0.0345 -0.008613228 -0.02499997 -0.0345 -0.01005661 -0.02749997 -0.0345 -0.01294326 -0.02749997 -0.0345 -0.01438671 -0.02499997 -0.03149998 -0.01556164 0.01734477 -0.03149998 -0.01362103 0.01712149 -0.03149998 -0.0115 0.01799988 -0.02849996 -0.0115 0.01799988 -0.03149998 -0.0115 0.01968991 -0.03149998 -0.00937891 0.01712149 -0.02849996 -0.00937891 0.01712149 -0.03149998 -0.0144999 0.01499992 -0.02849996 -0.01362103 0.01712149 -0.03149998 -0.01362103 0.01287841 -0.02849996 -0.0144999 0.01499992 -0.03149998 -0.0115 0.01030999 -0.03149998 -0.0115 0.01199996 -0.02849996 -0.01362103 0.01287841 -0.03149998 -0.01556164 0.01265513 -0.03149998 -0.007438242 0.01265513 -0.03149998 -0.00937891 0.01287841 -0.02849996 -0.0115 0.01199996 -0.03149998 -0.008500039 0.01499992 -0.02849996 -0.00937891 0.01287841 -0.02849996 -0.008500039 0.01499992 -0.03149998 -0.007438242 0.01734477 -0.0315907 -0.0115 0.0199092 -0.03180992 -0.01583003 0.01749998 -0.03180992 -0.007169783 0.01749998 -0.03180992 -0.0115 0.01999998 -0.03180992 -0.007169783 0.01249992 -0.0315907 -0.0115 0.0100907 -0.03180992 -0.01583003 0.01249992 -0.03180992 -0.0115 0.00999999 -0.02849996 -0.0115 0.01249992 -0.02849996 -0.01326769 0.01323223 -0.02849996 -0.008999943 0.01499992 -0.02849996 -0.009732186 0.01323223 -0.02849996 -0.009732186 0.01676774 -0.02849996 -0.0115 0.01749998 -0.02849996 -0.01326769 0.01676774 -0.01549988 -0.0115 0.01749998 -0.01549988 -0.009732186 0.01676774 -0.02849996 -0.01399993 0.01499992 -0.01549988 -0.01326769 0.01676774 -0.01549988 -0.01399993 0.01499992 -0.01549988 -0.01326769 0.01323223 -0.01549988 -0.0115 0.01249992 -0.01549988 -0.009732186 0.01323223 -0.01549988 -0.008999943 0.01499992 -0.03749996 -0.01294326 0.01749998 -0.03749996 -0.0153104 0.01719999 -0.03749996 -0.0115 0.0194 -0.03689998 -0.0115 0.01999998 -0.03749996 -0.01005661 0.01749998 -0.03749996 -0.007689476 0.01719999 -0.03689998 -0.007169783 0.01749998 -0.03749996 -0.01438671 0.01499992 -0.03749996 -0.0153104 0.01279991 -0.03689998 -0.01583003 0.01749998 -0.03749996 -0.01294326 0.01249992 -0.03749996 -0.0115 0.01059997 -0.03689998 -0.01583003 0.01249992 -0.03749996 -0.01005661 0.01249992 -0.03749996 -0.007689476 0.01279991 -0.03689998 -0.0115 0.00999999 -0.03749996 -0.008613228 0.01499992 -0.03689998 -0.007169783 0.01249992 -0.0345 -0.01005661 0.01749998 -0.0345 -0.01294326 0.01749998 -0.0345 -0.008613228 0.01499992 -0.0345 -0.01005661 0.01249992 -0.0345 -0.01294326 0.01249992 -0.0345 -0.01438671 0.01499992 0.003413498 -0.03030812 0.04999995 0 -0.03127026 0.04999995 0.003167808 -0.03258216 0.04999995 0.001520276 -0.03422963 0.04766988 0.008417487 -0.03756844 0.04999995 0.004479706 -0.03574997 0.04999995 0.002076685 -0.0351935 0.04766988 -0.01007485 -0.02878785 0.04999995 -0.003167808 -0.03258216 0.04999995 -5.56461e-4 -0.03367316 0.04766988 5.56461e-4 -0.03367316 0.04766988 -0.004479706 -0.03574997 0.04999995 -0.001520276 -0.03422963 0.04766988 -0.02156668 -0.02156668 0.04999995 -0.003167808 -0.03891777 0.04999995 -0.002076685 -0.03630644 0.04766988 -0.002076685 -0.0351935 0.04766988 0 -0.04174953 0.04999995 0 -0.04022967 0.04999995 -0.001520276 -0.03727018 0.04766988 -0.03987497 -0.004357099 0.04999995 -0.004357099 -0.03987497 0.04999995 0.004357099 -0.03987497 0.04999995 0.003167808 -0.03891777 0.04999995 5.56461e-4 -0.03782665 0.04766988 -5.56461e-4 -0.03782665 0.04766988 0.006215393 -0.03841906 0.04999995 0.001520276 -0.03727018 0.04766988 0.002076685 -0.03630644 0.04766988 -0.02878785 -0.01007485 0.04999995 -0.03127026 0 0.04999995 -0.03258216 -0.003167808 0.04999995 -0.03422963 -0.001520276 0.04766988 -0.03574997 -0.004479706 0.04999995 -0.0351935 -0.002076685 0.04766988 -0.03030812 0.003413498 0.04999995 -0.03258216 0.003167808 0.04999995 -0.03367316 5.56461e-4 0.04766988 -0.03367316 -5.56461e-4 0.04766988 -0.03841906 0.006215393 0.04999995 -0.03574997 0.004479706 0.04999995 -0.03422963 0.001520276 0.04766988 -0.03756844 0.008417487 0.04999995 -0.03987497 0.004357099 0.04999995 -0.03891777 0.003167808 0.04999995 -0.03630644 0.002076685 0.04766988 -0.0351935 0.002076685 0.04766988 -0.04174953 0 0.04999995 -0.04022967 0 0.04999995 -0.03727018 0.001520276 0.04766988 -0.03891777 -0.003167808 0.04999995 -0.03782665 -5.56461e-4 0.04766988 -0.03782665 5.56461e-4 0.04766988 -0.03727018 -0.001520276 0.04766988 -0.03630644 -0.002076685 0.04766988 -0.003413498 0.03030812 0.04999995 0 0.03127026 0.04999995 -0.003167808 0.03258216 0.04999995 -0.001520276 0.03422963 0.04766988 -0.007874965 0.03768599 0.04999995 -0.004479706 0.03574997 0.04999995 -0.002076685 0.0351935 0.04766988 -0.01095134 0.03814059 0.04999995 -0.009259164 0.0373699 0.04999995 0.01007485 0.02878785 0.04999995 0.003167808 0.03258216 0.04999995 5.56461e-4 0.03367316 0.04766988 -5.56461e-4 0.03367316 0.04766988 0.004479706 0.03574997 0.04999995 0.001520276 0.03422963 0.04766988 0.02156668 0.02156668 0.04999995 0.003167808 0.03891777 0.04999995 0.002076685 0.03630644 0.04766988 0.002076685 0.0351935 0.04766988 -0.001259148 0.04160141 0.04999995 0 0.04022967 0.04999995 0.001520276 0.03727018 0.04766988 0.002367377 0.04126304 0.04999995 -0.001259148 0.04161638 0.04999995 -0.003466129 0.04063248 0.04999995 -0.003167808 0.03891777 0.04999995 -5.56461e-4 0.03782665 0.04766988 5.56461e-4 0.03782665 0.04766988 -0.006480157 0.03795069 0.04999995 -0.001520276 0.03727018 0.04766988 -0.005696654 0.03826552 0.04999995 -0.005112648 0.0388754 0.04999995 -0.002076685 0.03630644 0.04766988 0.02878785 0.01007485 0.04999995 0.03127026 0 0.04999995 0.03258216 0.003167808 0.04999995 0.03422963 0.001520276 0.04766988 0.03574997 0.004479706 0.04999995 0.0351935 0.002076685 0.04766988 0.03030812 -0.003413498 0.04999995 0.03258216 -0.003167808 0.04999995 0.03367316 -5.56461e-4 0.04766988 0.03367316 5.56461e-4 0.04766988 0.03768491 -0.007879734 0.04999995 0.03574997 -0.004479706 0.04999995 0.03422963 -0.001520276 0.04766988 0.0373699 -0.009259164 0.04999995 0.03887784 -0.005120158 0.04999995 0.03891777 -0.003167808 0.04999995 0.03630644 -0.002076685 0.04766988 0.03826534 -0.005704522 0.04999995 0.03794896 -0.006489813 0.04999995 0.0351935 -0.002076685 0.04766988 0.04140406 -0.002006888 0.04999995 0.04022967 0 0.04999995 0.03727018 -0.001520276 0.04766988 0.04140436 0.002006173 0.04999995 0.03891777 0.003167808 0.04999995 0.03782665 5.56461e-4 0.04766988 0.03782665 -5.56461e-4 0.04766988 0.03727018 0.001520276 0.04766988 0.03630644 0.002076685 0.04766988 -0.02121317 -0.02121317 0.04949992 -0.02831637 -0.009908497 0.04949992 -0.009908497 -0.02831637 0.04949992 0.01995211 -0.03292649 0.04999995 0.01622635 -0.02582514 0.04999995 0.003358781 -0.02981138 0.04949992 0.0294075 -0.02484852 0.04999995 0.02582514 -0.01622635 0.04999995 0.01596093 -0.02540171 0.04949992 0.03579545 -0.01417493 0.04999995 0.02540171 -0.01596093 0.04949992 0.02981138 -0.003358781 0.04949992 0.03814059 -0.01095134 0.04999995 0.02831637 0.009908497 0.04949992 0.02121317 0.02121317 0.04949992 0.009908497 0.02831637 0.04949992 -0.01417493 0.03579545 0.04999995 -0.01622635 0.02582514 0.04999995 -0.003358781 0.02981138 0.04949992 -0.0248478 0.02940797 0.04999995 -0.02582514 0.01622635 0.04999995 -0.01596093 0.02540171 0.04949992 -0.0329262 0.01995277 0.04999995 -0.02540171 0.01596093 0.04949992 -0.02981138 0.003358781 0.04949992 -0.001259148 0.04161638 0.06499999 0.005704522 0.03826534 0.04999995 0.005120158 0.03887784 0.04999995 0.002369344 0.0412622 0.06499999 0.03826618 0.005704164 0.04999995 0.005120158 0.03887784 0.06499999 0.006489813 0.03794908 0.04999995 0.005704522 0.03826534 0.06499999 0.03794986 0.006489217 0.04999995 0.02109855 0.03220409 0.04999995 0.006489813 0.03794908 0.06499999 0.03220462 0.02109819 0.04999995 0.02109903 0.03220403 0.06499999 0.03220462 0.02109843 0.06499999 0.03794986 0.006489217 0.06499999 0.03887844 0.0051198 0.04999995 0.03826618 0.005704164 0.06499999 0.03887844 0.0051198 0.06499999 0.04140436 0.002006173 0.06499999 0.0414043 -0.002006292 0.06499999 0.03887784 -0.005120158 0.06499999 0.03826534 -0.005704522 0.06499999 0.03794896 -0.006489813 0.06499999 0.03768491 -0.007879734 0.06499999 0.04174995 -0.009259164 0.04999995 0.04450041 -0.009259164 0.06499999 0.0373699 -0.009259164 0.06499999 0.04174995 -0.009259164 0.04249989 0.03814059 -0.01095134 0.04249989 0.03579545 -0.01417493 0.04249989 0.01995241 -0.03292644 0.04249989 0.02940768 -0.02484822 0.04249989 0.008417487 -0.03756844 0.04249989 0.006215393 -0.03841906 0.04249989 0.004357099 -0.03987497 0.04249989 0 -0.04174995 0.04249989 -0.03841906 -0.006215393 0.04999995 -0.006215393 -0.03841906 0.04999995 -0.004357099 -0.03987497 0.04249989 -0.03756844 -0.008417487 0.04999995 -0.008417487 -0.03756844 0.04999995 -0.006215393 -0.03841906 0.04249989 -0.03184002 -0.02164381 0.04999995 -0.02164512 -0.03183919 0.04999995 -0.008417487 -0.03756844 0.04249989 -0.02223104 -0.03143286 0.03250664 -0.01409775 -0.0358259 0.04249989 -0.01944184 -0.03323042 0.04249989 -0.02068829 -0.03246909 0.04190868 -0.02118623 -0.03214639 0.04049998 -0.02118623 -0.03214639 0.03374993 -0.03246909 -0.02068829 0.04190868 -0.02722334 -0.02722334 0.03125 -0.02325689 -0.03068161 0.03125 -0.03068161 -0.02325689 0.03125 -0.0314309 -0.02223384 0.03250318 -0.03214639 -0.02118623 0.04049998 -0.03756844 -0.008417487 0.04249989 -0.03582584 -0.0140978 0.04249989 -0.03323042 -0.01944184 0.04249989 -0.03841906 -0.006215393 0.04249989 -0.03987497 -0.004357099 0.04249989 -0.04174995 0 0.04249989 -0.03987497 0.004357099 0.04249989 -0.03841906 0.006215393 0.04249989 -0.03756844 0.008417487 0.04249989 -0.03292596 0.01995313 0.04249989 -0.02484744 0.02940827 0.04249989 -0.01417493 0.03579545 0.04249989 -0.009259164 0.04174995 0.04999995 -0.01095134 0.03814059 0.04249989 -0.009259164 0.0373699 0.06499999 -0.009259164 0.04174995 0.04249989 -0.009259164 0.04449945 0.04249989 -0.007874965 0.03768599 0.06499999 -0.006480157 0.03795069 0.06499999 -0.005696654 0.03826552 0.06499999 -0.005112648 0.0388754 0.06499999 -0.003467977 0.04063135 0.06499999 -0.001259148 0.04160141 0.06499999 0.002076685 -0.03630644 0.04249989 0.001520276 -0.03422963 0.04249989 0.01167815 -0.03086423 0.04249989 -5.56461e-4 -0.03367316 0.04249989 5.56461e-4 -0.03782665 0.04249989 -0.001520276 -0.03727018 0.04249989 -0.002076685 -0.0351935 0.04249989 -0.002044141 -0.03293645 0.04249989 0.02918708 0.0153985 0.04249989 0.03630644 0.002076685 0.04249989 0.03422963 0.001520276 0.04249989 0.03293645 0.002043843 0.04249989 0.03367316 -5.56461e-4 0.04249989 0.03782665 5.56461e-4 0.04249989 0.04500043 -0.0087592 0.04249989 0.03727018 -0.001520276 0.04249989 0.04450041 -0.009259164 0.04249989 0.0351935 -0.002076685 0.04249989 -0.02918708 -0.0153985 0.04249989 -0.03630644 -0.002076685 0.04249989 -0.03422963 -0.001520276 0.04249989 -0.03293645 -0.002044141 0.04249989 -0.03367316 5.56461e-4 0.04249989 -0.03782665 -5.56461e-4 0.04249989 -0.03727018 0.001520276 0.04249989 -0.0351935 0.002076685 0.04249989 -0.03086423 0.01167815 0.04249989 -0.002076685 0.03630644 0.04249989 -0.001520276 0.03422963 0.04249989 -0.01167863 0.03086405 0.04249989 5.56461e-4 0.03367316 0.04249989 -0.0087592 0.04499948 0.04249989 -5.56461e-4 0.03782665 0.04249989 0.008690774 0.04499948 0.04249989 0.001520276 0.03727018 0.04249989 0.0153985 0.02918708 0.04249989 0.002076685 0.0351935 0.04249989 0.009190738 0.04332774 0.04249989 0.009609758 0.04210323 0.04249989 0.002043843 0.03293645 0.04249989 -0.0087592 0.04499948 0.06499999 0.009190738 0.04449945 0.04249989 0.008690774 0.04499948 0.06499999 -0.009259164 0.04449945 0.06499999 -0.02333468 0.02333432 0.04249989 -0.02846807 -0.01669025 0.04190647 -0.03114813 -0.01089912 0.04749995 -0.0233345 -0.0233345 0.04749995 -0.02816194 -0.01720178 0.04249989 -0.03279244 0.003694713 0.04749995 -0.02794188 0.01755702 0.04749995 -0.01755702 0.02794188 0.04749995 -0.003694713 0.03279244 0.04749995 0.01089912 0.03114813 0.04749995 0.01069056 0.04139131 0.04249989 0.01944184 0.03323042 0.04249989 0.02068829 0.03246909 0.04190868 0.01669025 0.02846807 0.04190647 0.02440965 0.03509587 0.04249989 0.02722334 0.02722376 0.04249989 0.04139125 0.0106936 0.04249989 0.03323042 0.01944184 0.04249989 0.03246909 0.02068829 0.04190868 0.02722334 0.02722334 0.03125 0.02325689 0.03068161 0.03125 0.02223098 0.03143286 0.03250676 0.02118623 0.03214639 0.04049998 0.02118623 0.03214639 0.03374993 0.04210317 0.009612917 0.04249989 0.02846813 0.01669025 0.04190647 0.03114813 0.01089912 0.04749995 0.0233345 0.0233345 0.04749995 0.03086405 -0.01167863 0.04249989 0.03279244 -0.003694713 0.04749995 0.02333432 -0.02333468 0.04249989 0.02794188 -0.01755702 0.04749995 0.01755702 -0.02794188 0.04749995 0.003694713 -0.03279244 0.04749995 -0.0153985 -0.02918708 0.04249989 -0.01089912 -0.03114813 0.04749995 -0.01669025 -0.02846813 0.04190647 0.04500043 -0.0087592 0.06499999 0.04450041 0.009193956 0.04249989 0.04500043 0.008693993 0.04249989 0.04500043 0.008693993 0.06499999 0.04332756 0.009193956 0.04249989 0.04450041 0.009193956 0.06499999 0.04332756 0.009193956 0.06499999 0.04210317 0.009612917 0.06499999 0.03509438 0.02441203 0.04249989 0.04139125 0.0106936 0.06499999 0.03509259 0.0244143 0.06499999 0.02441179 0.03509402 0.06499999 0.01069056 0.04139131 0.06499999 0.009609758 0.04210323 0.06499999 0.009190738 0.04449945 0.06499999 0.009190738 0.04332774 0.06499999 0.01932495 0.02674961 0.03125 0.03214639 0.02118623 0.04049998 0.03068161 0.02325689 0.03125 0.0233342 0.0233342 0.03125 0.03214639 0.02118623 0.03374993 0.03143095 0.02223372 0.03250336 0.02674961 0.01932495 0.03125 0.02816194 0.01720178 0.03374993 0.02747648 0.01827669 0.03250521 0.02816194 0.01720178 0.04049998 0.01720178 0.02816194 0.04049998 0.01827502 0.02747762 0.03250724 0.01720178 0.02816194 0.03374993 -0.01932495 -0.02674961 0.03125 -0.0233342 -0.0233342 0.03125 -0.03214639 -0.02118623 0.03374993 -0.02674961 -0.01932495 0.03125 -0.02816194 -0.01720178 0.03374993 -0.0274778 -0.01827478 0.03250747 -0.02816194 -0.01720178 0.04049998 -0.01720178 -0.02816194 0.04049998 -0.01827663 -0.02747648 0.03250527 -0.01720178 -0.02816194 0.03374993 0.02831596 0.00990951 0.04749995 0.02121317 0.02121317 0.04749995 0.02540171 -0.01596033 0.04749995 0.02981126 -0.003357589 0.04749995 0.01596033 -0.02540171 0.04749995 0.003357589 -0.02981126 0.04749995 -0.00990951 -0.02831596 0.04749995 -0.02121317 -0.02121317 0.04749995 -0.02831596 -0.00990951 0.04749995 0.00990951 0.02831596 0.04749995 -0.02540171 0.01596033 0.04749995 -0.02981126 0.003357589 0.04749995 -0.01596033 0.02540171 0.04749995 -0.003357589 0.02981126 0.04749995 0.0233345 0.0233345 0.04249989 0.02041137 0.02593016 0.04249989 0.01720178 0.02816194 0.04249989 -0.0233345 -0.0233345 0.04249989 -0.02593016 -0.02041137 0.04249989 0.003487706 0.02445828 0.02999997 4.82634e-5 0.02649956 0.02999997 -0.003439784 0.02454137 0.02999997 -0.003439784 0.02454137 0.02969998 7.36658e-4 0.02374118 0.02999997 -0.001443207 0.02251732 0.02999997 -0.003487706 0.02054154 0.02999997 -0.003487825 0.02054166 0.02969998 -7.06613e-4 0.02375853 0.02999997 4.80722e-5 0.02649962 0.02969998 0.001443207 0.02248263 0.02999997 0.003439784 0.02045845 0.02999997 0.003487825 0.02445816 0.02969998 -4.82634e-5 0.01850026 0.02999997 0.003439784 0.02045845 0.02969998 -7.36658e-4 0.02125871 0.02999997 7.06613e-4 0.0212413 0.02999997 -4.80722e-5 0.0185002 0.02969998 -0.001443207 0.02251732 0.02819997 -7.06613e-4 0.02375853 0.02819997 -7.36658e-4 0.02125871 0.02819997 7.06613e-4 0.0212413 0.02819997 0.001443207 0.02248263 0.02819997 7.36658e-4 0.02374118 0.02819997 0.001719892 0.02147918 0.02769994 0.001937866 0.02299427 0.02769994 -0.001020669 0.02078008 0.02769994 4.94384e-4 0.02056205 0.02769994 -0.001937866 0.02200555 0.02769994 -0.001719892 0.02352064 0.02769994 0.001719892 0.02147918 0.02559995 0.00102061 0.02421981 0.02559995 -0.00102061 0.02078014 0.02559995 -0.001719892 0.02352064 0.02559995 -4.94384e-4 0.0244379 0.02769994 0.001418828 0.02165788 0.02559995 8.42113e-4 0.02391886 0.02559995 -8.42113e-4 0.02108103 0.02559995 -0.001418828 0.02334207 0.02559995 0.001020669 0.02421987 0.02769994 -0.001418828 0.02334207 0.01399993 -8.42113e-4 0.02108103 0.01399993 8.42113e-4 0.02391886 0.01399993 0.001418828 0.02165788 0.01399993 -0.02445828 0.003487706 0.02999997 -0.02649956 4.82634e-5 0.02999997 -0.02454137 -0.003439784 0.02999997 -0.02454137 -0.003439784 0.02969998 -0.02374118 7.36658e-4 0.02999997 -0.02251732 -0.001443207 0.02999997 -0.02054154 -0.003487706 0.02999997 -0.02054166 -0.003487825 0.02969998 -0.02375853 -7.06613e-4 0.02999997 -0.02649962 4.80722e-5 0.02969998 -0.02248263 0.001443207 0.02999997 -0.02045845 0.003439784 0.02999997 -0.02445816 0.003487825 0.02969998 -0.01850026 -4.82634e-5 0.02999997 -0.02045845 0.003439784 0.02969998 -0.02125871 -7.36658e-4 0.02999997 -0.0212413 7.06613e-4 0.02999997 -0.0185002 -4.80722e-5 0.02969998 -0.02251732 -0.001443207 0.02819997 -0.02375853 -7.06613e-4 0.02819997 -0.02125871 -7.36658e-4 0.02819997 -0.0212413 7.06613e-4 0.02819997 -0.02248263 0.001443207 0.02819997 -0.02374118 7.36658e-4 0.02819997 -0.02147918 0.001719892 0.02769994 -0.02299427 0.001937866 0.02769994 -0.02078008 -0.001020669 0.02769994 -0.02056205 4.94384e-4 0.02769994 -0.02200555 -0.001937866 0.02769994 -0.02352064 -0.001719892 0.02769994 -0.02147918 0.001719892 0.02559995 -0.02421981 0.00102061 0.02559995 -0.02078014 -0.00102061 0.02559995 -0.02352064 -0.001719892 0.02559995 -0.0244379 -4.94384e-4 0.02769994 -0.02165788 0.001418828 0.02559995 -0.02391886 8.42113e-4 0.02559995 -0.02108103 -8.42113e-4 0.02559995 -0.02334207 -0.001418828 0.02559995 -0.02421987 0.001020669 0.02769994 -0.02334207 -0.001418828 0.01399993 -0.02108103 -8.42113e-4 0.01399993 -0.02391886 8.42113e-4 0.01399993 -0.02165788 0.001418828 0.01399993 -0.00195825 0.03923767 0.04999995 -0.00399965 0.03579825 0.04999995 -0.002041459 0.03231012 0.04999995 -0.002041459 0.03231012 0.04969996 -0.001241207 0.03648656 0.04999995 -1.73466e-5 0.0343067 0.04999995 0.00195825 0.03226214 0.04999995 0.001958191 0.03226202 0.04969996 -0.001258552 0.03504329 0.04999995 -0.00399971 0.03579807 0.04969996 1.73466e-5 0.03719317 0.04999995 0.002041459 0.03918981 0.04999995 -0.001958191 0.03923779 0.04969996 0.00399965 0.03570169 0.04999995 0.002041459 0.03918981 0.04969996 0.001241207 0.03501325 0.04999995 0.001258552 0.03645658 0.04999995 0.00399971 0.03570193 0.04969996 -1.73466e-5 0.0343067 0.04819995 -0.001258552 0.03504329 0.04819995 0.001241207 0.03501325 0.04819995 0.001258552 0.03645658 0.04819995 1.73466e-5 0.03719317 0.04819995 -0.001241207 0.03648656 0.04819995 0.001020669 0.03746986 0.04769992 -4.94384e-4 0.03768783 0.04769992 0.001719892 0.03472924 0.04769992 0.001937866 0.03624433 0.04769992 4.94384e-4 0.03381198 0.04769992 -0.001020669 0.03403002 0.04769992 0.001020669 0.03746986 0.04559993 -0.001719832 0.0367707 0.04559993 0.001719832 0.03472924 0.04559993 -0.001020669 0.03403002 0.04559993 -0.001937866 0.03525561 0.04769992 8.42113e-4 0.03716892 0.04559993 -0.001418828 0.036592 0.04559993 0.001418828 0.03490781 0.04559993 -8.42113e-4 0.03433102 0.04559993 -0.001719892 0.0367707 0.04769992 -8.42113e-4 0.03433102 0.03399991 0.001418828 0.03490781 0.03399991 -0.001418828 0.036592 0.03399991 8.42113e-4 0.03716892 0.03399991 -0.03923767 -0.00195825 0.04999995 -0.03579825 -0.00399965 0.04999995 -0.03231012 -0.002041459 0.04999995 -0.03231012 -0.002041459 0.04969996 -0.03648656 -0.001241207 0.04999995 -0.0343067 -1.73466e-5 0.04999995 -0.03226214 0.00195825 0.04999995 -0.03226202 0.001958191 0.04969996 -0.03504329 -0.001258552 0.04999995 -0.03579807 -0.00399971 0.04969996 -0.03719317 1.73466e-5 0.04999995 -0.03918981 0.002041459 0.04999995 -0.03923779 -0.001958191 0.04969996 -0.03570169 0.00399965 0.04999995 -0.03918981 0.002041459 0.04969996 -0.03501325 0.001241207 0.04999995 -0.03645658 0.001258552 0.04999995 -0.03570193 0.00399971 0.04969996 -0.0343067 -1.73466e-5 0.04819995 -0.03504329 -0.001258552 0.04819995 -0.03501325 0.001241207 0.04819995 -0.03645658 0.001258552 0.04819995 -0.03719317 1.73466e-5 0.04819995 -0.03648656 -0.001241207 0.04819995 -0.03746986 0.001020669 0.04769992 -0.03768783 -4.94384e-4 0.04769992 -0.03472924 0.001719892 0.04769992 -0.03624433 0.001937866 0.04769992 -0.03381198 4.94384e-4 0.04769992 -0.03403002 -0.001020669 0.04769992 -0.03746986 0.001020669 0.04559993 -0.0367707 -0.001719832 0.04559993 -0.03472924 0.001719832 0.04559993 -0.03403002 -0.001020669 0.04559993 -0.03525561 -0.001937866 0.04769992 -0.03716892 8.42113e-4 0.04559993 -0.036592 -0.001418828 0.04559993 -0.03490781 0.001418828 0.04559993 -0.03433102 -8.42113e-4 0.04559993 -0.0367707 -0.001719892 0.04769992 -0.03433102 -8.42113e-4 0.03399991 -0.03490781 0.001418828 0.03399991 -0.036592 -0.001418828 0.03399991 -0.03716892 8.42113e-4 0.03399991 0.00195825 -0.03923767 0.04999995 0.00399965 -0.03579825 0.04999995 0.002041459 -0.03231012 0.04999995 0.002041459 -0.03231012 0.04969996 0.001241207 -0.03648656 0.04999995 1.73466e-5 -0.0343067 0.04999995 -0.00195825 -0.03226214 0.04999995 -0.001958191 -0.03226202 0.04969996 0.001258552 -0.03504329 0.04999995 0.00399971 -0.03579807 0.04969996 -1.73466e-5 -0.03719317 0.04999995 -0.002041459 -0.03918981 0.04999995 0.001958191 -0.03923779 0.04969996 -0.00399965 -0.03570169 0.04999995 -0.002041459 -0.03918981 0.04969996 -0.001241207 -0.03501325 0.04999995 -0.001258552 -0.03645658 0.04999995 -0.00399971 -0.03570193 0.04969996 1.73466e-5 -0.0343067 0.04819995 0.001258552 -0.03504329 0.04819995 -0.001241207 -0.03501325 0.04819995 -0.001258552 -0.03645658 0.04819995 -1.73466e-5 -0.03719317 0.04819995 0.001241207 -0.03648656 0.04819995 -0.001020669 -0.03746986 0.04769992 4.94384e-4 -0.03768783 0.04769992 -0.001719892 -0.03472924 0.04769992 -0.001937866 -0.03624433 0.04769992 -4.94384e-4 -0.03381198 0.04769992 0.001020669 -0.03403002 0.04769992 -0.001020669 -0.03746986 0.04559993 0.001719832 -0.0367707 0.04559993 -0.001719832 -0.03472924 0.04559993 0.001020669 -0.03403002 0.04559993 0.001937866 -0.03525561 0.04769992 -8.42113e-4 -0.03716892 0.04559993 0.001418828 -0.036592 0.04559993 -0.001418828 -0.03490781 0.04559993 8.42113e-4 -0.03433102 0.04559993 0.001719892 -0.0367707 0.04769992 8.42113e-4 -0.03433102 0.03399991 -0.001418828 -0.03490781 0.03399991 0.001418828 -0.036592 0.03399991 -8.42113e-4 -0.03716892 0.03399991 0.03923767 0.00195825 0.04999995 0.03579825 0.00399965 0.04999995 0.03231012 0.002041459 0.04999995 0.03231012 0.002041459 0.04969996 0.03648656 0.001241207 0.04999995 0.0343067 1.73466e-5 0.04999995 0.03226214 -0.00195825 0.04999995 0.03226202 -0.001958191 0.04969996 0.03504329 0.001258552 0.04999995 0.03579807 0.00399971 0.04969996 0.03719317 -1.73466e-5 0.04999995 0.03918981 -0.002041459 0.04999995 0.03923779 0.001958191 0.04969996 0.03570169 -0.00399965 0.04999995 0.03918981 -0.002041459 0.04969996 0.03501325 -0.001241207 0.04999995 0.03645658 -0.001258552 0.04999995 0.03570193 -0.00399971 0.04969996 0.0343067 1.73466e-5 0.04819995 0.03504329 0.001258552 0.04819995 0.03501325 -0.001241207 0.04819995 0.03645658 -0.001258552 0.04819995 0.03719317 -1.73466e-5 0.04819995 0.03648656 0.001241207 0.04819995 0.03746986 -0.001020669 0.04769992 0.03768783 4.94384e-4 0.04769992 0.03472924 -0.001719892 0.04769992 0.03624433 -0.001937866 0.04769992 0.03381198 -4.94384e-4 0.04769992 0.03403002 0.001020669 0.04769992 0.03746986 -0.001020669 0.04559993 0.0367707 0.001719832 0.04559993 0.03472924 -0.001719832 0.04559993 0.03403002 0.001020669 0.04559993 0.03525561 0.001937866 0.04769992 0.03716892 -8.42113e-4 0.04559993 0.036592 0.001418828 0.04559993 0.03490781 -0.001418828 0.04559993 0.03433102 8.42113e-4 0.04559993 0.0367707 0.001719892 0.04769992 0.03433102 8.42113e-4 0.03399991 0.03490781 -0.001418828 0.03399991 0.036592 0.001418828 0.03399991 0.03716892 -8.42113e-4 0.03399991 -0.003487706 -0.02445828 0.02999997 -4.82634e-5 -0.02649956 0.02999997 0.003439784 -0.02454137 0.02999997 0.003439784 -0.02454137 0.02969998 -7.36658e-4 -0.02374118 0.02999997 0.001443207 -0.02251732 0.02999997 0.003487706 -0.02054154 0.02999997 0.003487825 -0.02054166 0.02969998 7.06613e-4 -0.02375853 0.02999997 -4.80722e-5 -0.02649962 0.02969998 -0.001443207 -0.02248263 0.02999997 -0.003439784 -0.02045845 0.02999997 -0.003487825 -0.02445816 0.02969998 4.82634e-5 -0.01850026 0.02999997 -0.003439784 -0.02045845 0.02969998 7.36658e-4 -0.02125871 0.02999997 -7.06613e-4 -0.0212413 0.02999997 4.80722e-5 -0.0185002 0.02969998 0.001443207 -0.02251732 0.02819997 7.06613e-4 -0.02375853 0.02819997 7.36658e-4 -0.02125871 0.02819997 -7.06613e-4 -0.0212413 0.02819997 -0.001443207 -0.02248263 0.02819997 -7.36658e-4 -0.02374118 0.02819997 -0.001719892 -0.02147918 0.02769994 -0.001937866 -0.02299427 0.02769994 0.001020669 -0.02078008 0.02769994 -4.94384e-4 -0.02056205 0.02769994 0.001937866 -0.02200555 0.02769994 0.001719892 -0.02352064 0.02769994 -0.001719892 -0.02147918 0.02559995 -0.00102061 -0.02421981 0.02559995 0.00102061 -0.02078014 0.02559995 0.001719892 -0.02352064 0.02559995 4.94384e-4 -0.0244379 0.02769994 -0.001418828 -0.02165788 0.02559995 -8.42113e-4 -0.02391886 0.02559995 8.42113e-4 -0.02108103 0.02559995 0.001418828 -0.02334207 0.02559995 -0.001020669 -0.02421987 0.02769994 0.001418828 -0.02334207 0.01399993 8.42113e-4 -0.02108103 0.01399993 -8.42113e-4 -0.02391886 0.01399993 -0.001418828 -0.02165788 0.01399993 0.009035825 0.05049991 0.01200014 0.009035825 0.05049991 0.01599979 0.01249992 0.05049991 0.01799988 0.01249992 0.05019998 0.01799988 0.0110566 0.05049991 0.01399993 0.01322168 0.05049991 0.0152499 0.01596415 0.05049991 0.01599979 0.01596409 0.05019998 0.01599997 0.01177829 0.05049991 0.0152499 0.009035885 0.05019998 0.01599997 0.01177829 0.05049991 0.01274991 0.01249992 0.05049991 0.00999999 0.009035885 0.05019998 0.01199996 0.01596415 0.05049991 0.01200014 0.01249992 0.05019998 0.00999999 0.01394337 0.05049991 0.01399993 0.01322168 0.05049991 0.01274991 0.01596409 0.05019998 0.01199996 0.01322168 0.04869997 0.0152499 0.01177829 0.04869997 0.0152499 0.01394337 0.04869997 0.01399993 0.01322168 0.04869997 0.01274991 0.01177829 0.04869997 0.01274991 0.0110566 0.04869997 0.01399993 0.01249992 0.04819995 0.01199996 0.01108568 0.04819995 0.01258569 0.01449996 0.04819995 0.01399993 0.0139141 0.04819995 0.01258569 0.0139141 0.04819995 0.01541411 0.01249992 0.04819995 0.01599997 0.01249992 0.04609996 0.01199996 0.01050001 0.04609996 0.01399993 0.0144999 0.04609996 0.01399993 0.01249992 0.04609996 0.01599997 0.01108568 0.04819995 0.01541411 0.01249992 0.04609996 0.01234996 0.01084995 0.04609996 0.01399993 0.01414996 0.04609996 0.01399993 0.01249992 0.04609996 0.01564997 0.01049995 0.04819995 0.01399993 0.01249992 0.0345 0.01564997 0.01414996 0.0345 0.01399993 0.01084995 0.0345 0.01399993 0.01249992 0.0345 0.01234996 0.004791617 0.04848772 0.02184605 0.002750337 0.04504817 0.02183479 0.004708528 0.04156017 0.02184557 0.004710197 0.04156017 0.02154558 0.00550878 0.04573661 0.02184998 0.006732642 0.04355669 0.02185678 0.008708357 0.04151225 0.02186769 0.008709847 0.04151213 0.0215677 0.005491435 0.04429334 0.02184993 0.002752006 0.04504793 0.0215348 0.006767332 0.04644322 0.02185696 0.008791446 0.0484398 0.0218681 0.004793405 0.04848784 0.02154606 0.01074951 0.04495167 0.02187889 0.008793056 0.0484398 0.02156811 0.007991194 0.0442633 0.02186369 0.008008539 0.04570657 0.02186375 0.01075124 0.04495185 0.0215789 0.006742596 0.04355669 0.02005684 0.00550127 0.04429334 0.02004992 0.008001148 0.0442633 0.02006369 0.008018493 0.04570657 0.02006381 0.006777167 0.04644322 0.02005702 0.005518615 0.04573661 0.02004998 0.007783353 0.04671984 0.01956254 0.006268203 0.04693788 0.01955413 0.008482575 0.04397916 0.01956635 0.008700549 0.04549431 0.01956754 0.007257044 0.04306203 0.01955968 0.005741894 0.04328006 0.01955121 0.007794976 0.04671984 0.01746261 0.005054414 0.04602062 0.01744747 0.008494079 0.04397922 0.01746642 0.005753517 0.04328006 0.01745134 0.004824757 0.04450553 0.01954621 0.007616341 0.0464189 0.01746153 0.005355358 0.04584211 0.01744914 0.008193194 0.04415786 0.01746469 0.005932152 0.043581 0.01745223 0.005042791 0.04602062 0.01954746 0.005996167 0.043581 0.005852401 0.00825721 0.04415786 0.005864918 0.005419373 0.04584211 0.005849242 0.007680356 0.0464189 0.005861759 -0.009208083 0.04848772 0.02176874 -0.01124936 0.04504817 0.02175754 -0.009291172 0.04156017 0.02176839 -0.009289503 0.04156017 0.0214684 -0.008490979 0.04573661 0.0217728 -0.007266998 0.04355669 0.02177947 -0.005291402 0.04151225 0.02179044 -0.005289852 0.04151213 0.02149045 -0.008508324 0.04429334 0.02177268 -0.01124775 0.04504793 0.02145755 -0.007232427 0.04644322 0.02177971 -0.005208313 0.0484398 0.02179092 -0.009206295 0.04848784 0.02146875 -0.003250122 0.04495167 0.02180171 -0.005206644 0.0484398 0.02149093 -0.006008446 0.0442633 0.02178651 -0.005991101 0.04570657 0.02178657 -0.003248453 0.04495185 0.02150166 -0.007257163 0.04355669 0.01997959 -0.00849837 0.04429334 0.01997274 -0.005998611 0.0442633 0.01998651 -0.005981266 0.04570657 0.01998656 -0.007222473 0.04644322 0.01997977 -0.008481025 0.04573661 0.0199728 -0.006216347 0.04671984 0.01948529 -0.007731437 0.04693788 0.01947695 -0.005517125 0.04397916 0.0194891 -0.005299091 0.04549431 0.01949036 -0.006742656 0.04306203 0.01948237 -0.008257746 0.04328006 0.01947396 -0.006204724 0.04671984 0.01738536 -0.008945286 0.04602062 0.01737022 -0.005505621 0.04397922 0.01738911 -0.008246183 0.04328006 0.01737403 -0.009174942 0.04450553 0.01946896 -0.006383359 0.0464189 0.01738435 -0.008644402 0.04584211 0.01737189 -0.005806565 0.04415786 0.01738744 -0.008067548 0.043581 0.01737505 -0.008956968 0.04602062 0.01947015 -0.008003532 0.043581 0.005775213 -0.00574249 0.04415786 0.00578773 -0.008580386 0.04584211 0.005772054 -0.006319344 0.0464189 0.005784511 0.01104366 0.04495167 -0.03142017 0.009002447 0.04151225 -0.03143137 0.005002677 0.04156017 -0.03145349 0.005001008 0.04156017 -0.0311535 0.008285343 0.0442633 -0.03143543 0.005785465 0.04429334 -0.03144913 0.003044486 0.04504817 -0.03146427 0.003042817 0.04504793 -0.03116428 0.007026672 0.04355669 -0.03144234 0.009000658 0.04151213 -0.03113144 0.008302628 0.04570657 -0.03143531 0.009085536 0.0484398 -0.0314309 0.01104205 0.04495185 -0.03112018 0.005085647 0.04848772 -0.03145307 0.009083867 0.0484398 -0.0311309 0.00580281 0.04573661 -0.03144901 0.007061362 0.04644322 -0.03144216 0.005084216 0.04848784 -0.03115308 0.00577563 0.04429334 -0.02964913 0.007016837 0.04355669 -0.0296424 0.005792856 0.04573661 -0.02964907 0.007051527 0.04644322 -0.02964216 0.008292734 0.04570657 -0.02963531 0.008275389 0.0442633 -0.02963536 0.00805211 0.04671984 -0.02913659 0.008969306 0.04549431 -0.02913159 0.005311489 0.04602062 -0.02915173 0.00653702 0.04693788 -0.029145 0.005093455 0.04450553 -0.02915292 0.006010711 0.04328006 -0.02914792 0.008040547 0.04671984 -0.0270366 0.00873965 0.04397922 -0.02703285 0.005299985 0.04602062 -0.0270518 0.005999088 0.04328006 -0.02704793 0.007525801 0.04306203 -0.02913951 0.007861912 0.0464189 -0.02703768 0.008438706 0.04415786 -0.02703446 0.005600929 0.04584211 -0.02705007 0.006177723 0.043581 -0.02704691 0.008751273 0.04397916 -0.02913278 0.006113708 0.043581 -0.01544708 0.005536854 0.04584211 -0.01545023 0.008374691 0.04415786 -0.01543468 0.007797837 0.0464189 -0.01543784 -0.002955973 0.04495167 -0.03149735 -0.004997253 0.04151225 -0.03150868 -0.008997082 0.04156017 -0.03153073 -0.008998751 0.04156017 -0.03123068 -0.005714416 0.0442633 -0.03151261 -0.008214175 0.04429334 -0.03152638 -0.01095521 0.04504817 -0.03154152 -0.01095694 0.04504793 -0.03124159 -0.006972968 0.04355669 -0.03151959 -0.004999101 0.04151213 -0.03120869 -0.005697071 0.04570657 -0.03151249 -0.004914224 0.0484398 -0.0315082 -0.002957642 0.04495185 -0.03119736 -0.008913993 0.04848772 -0.03153032 -0.004915833 0.0484398 -0.03120815 -0.00819683 0.04573661 -0.03152626 -0.006938278 0.04644322 -0.03151941 -0.008915483 0.04848784 -0.03123033 -0.008224129 0.04429334 -0.0297265 -0.006982922 0.04355669 -0.02971965 -0.008206784 0.04573661 -0.02972638 -0.006948232 0.04644322 -0.02971941 -0.005707025 0.04570657 -0.02971249 -0.00572437 0.0442633 -0.02971261 -0.00594753 0.04671984 -0.0292139 -0.005030453 0.04549431 -0.02920877 -0.008688211 0.04602062 -0.02922904 -0.00746268 0.04693788 -0.02922219 -0.008906245 0.04450553 -0.02923017 -0.007989048 0.04328006 -0.02922517 -0.005959153 0.04671984 -0.02711391 -0.00526005 0.04397922 -0.02711004 -0.008699774 0.04602062 -0.02712905 -0.008000612 0.04328006 -0.02712512 -0.006473958 0.04306203 -0.02921682 -0.006137788 0.0464189 -0.02711486 -0.005560994 0.04415786 -0.0271117 -0.00839883 0.04584211 -0.02712738 -0.007821977 0.043581 -0.02712422 -0.005248427 0.04397916 -0.02921003 -0.007885992 0.043581 -0.01552432 -0.008462846 0.04584211 -0.01552754 -0.005625009 0.04415786 -0.01551187 -0.006201803 0.0464189 -0.01551502 -0.01587098 0.05049991 0.01200121 -0.01587098 0.05049991 0.0160008 -0.01240682 0.05049991 0.01800101 -0.01240682 0.05019998 0.01800101 -0.01385027 0.05049991 0.01400107 -0.01168519 0.05049991 0.01525104 -0.008942723 0.05049991 0.0160008 -0.008942782 0.05019998 0.01600104 -0.01312851 0.05049991 0.01525104 -0.01587092 0.05019998 0.01600104 -0.01312851 0.05049991 0.01275104 -0.01240682 0.05049991 0.01000106 -0.01587092 0.05019998 0.01200097 -0.008942723 0.05049991 0.01200121 -0.01240682 0.05019998 0.01000106 -0.01096349 0.05049991 0.01400107 -0.01168519 0.05049991 0.01275104 -0.008942782 0.05019998 0.01200097 -0.01168519 0.04869997 0.01525104 -0.01312851 0.04869997 0.01525104 -0.01096349 0.04869997 0.01400107 -0.01168519 0.04869997 0.01275104 -0.01312851 0.04869997 0.01275104 -0.01385027 0.04869997 0.01400107 -0.01240682 0.04819995 0.01200097 -0.01382112 0.04819995 0.01258683 -0.01040691 0.04819995 0.01400107 -0.01099264 0.04819995 0.01258683 -0.01099264 0.04819995 0.01541525 -0.01240682 0.04819995 0.01600104 -0.01240682 0.04609996 0.01200097 -0.0144068 0.04609996 0.01400107 -0.01040697 0.04609996 0.01400107 -0.01240682 0.04609996 0.01600104 -0.01382112 0.04819995 0.01541525 -0.01240682 0.04609996 0.01235097 -0.01405692 0.04609996 0.01400107 -0.01075685 0.04609996 0.01400107 -0.01240682 0.04609996 0.01565098 -0.01440685 0.04819995 0.01400107 -0.01240682 0.0345 0.01565098 -0.01075685 0.0345 0.01400107 -0.01405692 0.0345 0.01400107 -0.01240682 0.0345 0.01235097 0.00912851 0.05049991 0.0121392 0.00912851 0.05049991 0.01613885 0.01259267 0.05049991 0.018139 0.01259267 0.05019998 0.018139 0.01114922 0.05049991 0.01413893 0.0133143 0.05049991 0.01538896 0.01605683 0.05049991 0.01613885 0.01605677 0.05019998 0.01613903 0.01187098 0.05049991 0.01538896 0.00912857 0.05019998 0.01613903 0.01187098 0.05049991 0.01288896 0.01259267 0.05049991 0.01013892 0.00912857 0.05019998 0.01213902 0.01605683 0.05049991 0.0121392 0.01259267 0.05019998 0.01013892 0.01403599 0.05049991 0.01413893 0.0133143 0.05049991 0.01288896 0.01605677 0.05019998 0.01213902 0.0133143 0.04869997 0.01538896 0.01187098 0.04869997 0.01538896 0.01403599 0.04869997 0.01413893 0.0133143 0.04869997 0.01288896 0.01187098 0.04869997 0.01288896 0.01114922 0.04869997 0.01413893 0.01259267 0.04819995 0.01213902 0.01117843 0.04819995 0.01272475 0.01459258 0.04819995 0.01413893 0.01400685 0.04819995 0.01272475 0.01400685 0.04819995 0.01555317 0.01259267 0.04819995 0.01613903 0.01259267 0.04609996 0.01213902 0.01059263 0.04609996 0.01413893 0.01459252 0.04609996 0.01413893 0.01259267 0.04609996 0.01613903 0.01117843 0.04819995 0.01555317 0.01259267 0.04609996 0.01248902 0.01094257 0.04609996 0.01413893 0.01424258 0.04609996 0.01413893 0.01259267 0.04609996 0.01578903 0.01059257 0.04819995 0.01413893 0.01259267 0.0345 0.01578903 0.01424258 0.0345 0.01413893 0.01094257 0.0345 0.01413893 0.01259267 0.0345 0.01248902 -0.01596415 0.05049991 0.01200014 -0.01596415 0.05049991 0.01599979 -0.01249992 0.05049991 0.01799988 -0.01249992 0.05019998 0.01799988 -0.01394337 0.05049991 0.01399993 -0.01177829 0.05049991 0.0152499 -0.009035825 0.05049991 0.01599979 -0.009035885 0.05019998 0.01599997 -0.01322168 0.05049991 0.0152499 -0.01596409 0.05019998 0.01599997 -0.01322168 0.05049991 0.01274991 -0.01249992 0.05049991 0.00999999 -0.01596409 0.05019998 0.01199996 -0.009035825 0.05049991 0.01200014 -0.01249992 0.05019998 0.00999999 -0.0110566 0.05049991 0.01399993 -0.01177829 0.05049991 0.01274991 -0.009035885 0.05019998 0.01199996 -0.01177829 0.04869997 0.0152499 -0.01322168 0.04869997 0.0152499 -0.0110566 0.04869997 0.01399993 -0.01177829 0.04869997 0.01274991 -0.01322168 0.04869997 0.01274991 -0.01394337 0.04869997 0.01399993 -0.01249992 0.04819995 0.01199996 -0.0139141 0.04819995 0.01258569 -0.01049995 0.04819995 0.01399993 -0.01108568 0.04819995 0.01258569 -0.01108568 0.04819995 0.01541411 -0.01249992 0.04819995 0.01599997 -0.01249992 0.04609996 0.01199996 -0.0144999 0.04609996 0.01399993 -0.01050001 0.04609996 0.01399993 -0.01249992 0.04609996 0.01599997 -0.0139141 0.04819995 0.01541411 -0.01249992 0.04609996 0.01234996 -0.01414996 0.04609996 0.01399993 -0.01084995 0.04609996 0.01399993 -0.01249992 0.04609996 0.01564997 -0.01449996 0.04819995 0.01399993 -0.01249992 0.0345 0.01564997 -0.01084995 0.0345 0.01399993 -0.01414996 0.0345 0.01399993 -0.01249992 0.0345 0.01234996 0.02445828 -0.003487706 0.02999997 0.02649956 -4.82634e-5 0.02999997 0.02454137 0.003439784 0.02999997 0.02454137 0.003439784 0.02969998 0.02374118 -7.36658e-4 0.02999997 0.02251732 0.001443207 0.02999997 0.02054154 0.003487706 0.02999997 0.02054166 0.003487825 0.02969998 0.02375853 7.06613e-4 0.02999997 0.02649962 -4.80722e-5 0.02969998 0.02248263 -0.001443207 0.02999997 0.02045845 -0.003439784 0.02999997 0.02445816 -0.003487825 0.02969998 0.01850026 4.82634e-5 0.02999997 0.02045845 -0.003439784 0.02969998 0.02125871 7.36658e-4 0.02999997 0.0212413 -7.06613e-4 0.02999997 0.0185002 4.80722e-5 0.02969998 0.02251732 0.001443207 0.02819997 0.02375853 7.06613e-4 0.02819997 0.02125871 7.36658e-4 0.02819997 0.0212413 -7.06613e-4 0.02819997 0.02248263 -0.001443207 0.02819997 0.02374118 -7.36658e-4 0.02819997 0.02147918 -0.001719892 0.02769994 0.02299427 -0.001937866 0.02769994 0.02078008 0.001020669 0.02769994 0.02056205 -4.94384e-4 0.02769994 0.02200555 0.001937866 0.02769994 0.02352064 0.001719892 0.02769994 0.02147918 -0.001719892 0.02559995 0.02421981 -0.00102061 0.02559995 0.02078014 0.00102061 0.02559995 0.02352064 0.001719892 0.02559995 0.0244379 4.94384e-4 0.02769994 0.02165788 -0.001418828 0.02559995 0.02391886 -8.42113e-4 0.02559995 0.02108103 8.42113e-4 0.02559995 0.02334207 0.001418828 0.02559995 0.02421987 -0.001020669 0.02769994 0.02334207 0.001418828 0.01399993 0.02108103 8.42113e-4 0.01399993 0.02391886 -8.42113e-4 0.01399993 0.02165788 -0.001418828 0.01399993</float_array>
+ <technique_common>
+ <accessor source="#shoulder_fe-mesh-positions-array" count="6626" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shoulder_fe-mesh-normals">
+ <float_array id="shoulder_fe-mesh-normals-array" count="40440">1 0 0 0 -0.8660436 -0.4999684 1 0 0 6.19793e-5 -0.8660438 0.4999682 0 -0.8660244 0.5000019 1 0 0 -2.10475e-4 0 -1 7.66662e-5 -0.8660197 -0.5000099 1 0 0 4.92192e-5 0.8660355 -0.4999825 1 0 0 1 0 0 -2.10475e-4 0 -1 1 0 0 0 0.8660355 0.4999824 1 0 0 0 0.8660201 -0.5000092 1 0 0 -2.39811e-4 0 1 1 0 0 3.45312e-5 0.8660247 0.5000012 1 0 0 1 0 0 -2.39811e-4 0 1 0 -0.8660355 -0.4999825 3.45517e-5 -0.8660355 0.4999824 0 -0.8660247 0.5000012 1 0 0 -2.10475e-4 0 -1 4.92398e-5 -0.8660201 -0.5000092 1 0 0 7.66464e-5 0.8660436 -0.4999684 1 0 0 1 0 0 -2.10475e-4 0 -1 1 0 0 0 0.8660438 0.4999682 0 0.8660197 -0.5000099 1 0 0 -2.39811e-4 0 1 6.19572e-5 0.8660244 0.5000019 -2.39811e-4 0 1 1 0 0 0 -0.8660438 -0.4999681 1 0 0 7.66464e-5 -0.8660436 0.4999684 1 0 0 1 0 0 0 -0.8660197 0.5000099 1 0 0 -2.09544e-4 0 -1 7.71636e-5 -0.8660197 -0.5000099 1 0 0 4.96849e-5 0.8660356 -0.4999823 1 0 0 1 0 0 1 0 0 -2.09544e-4 0 -1 1 0 0 0 0.8660355 0.4999825 1 0 0 0 0.8660201 -0.5000092 1 0 0 -2.10475e-4 0 1 1 0 0 4.92398e-5 0.8660201 0.5000092 1 0 0 1 0 0 -2.10475e-4 0 1 0 -0.8660356 -0.4999823 4.92192e-5 -0.8660355 0.4999825 0 -0.8660201 0.5000092 1 0 0 -2.09544e-4 0 -1 4.97371e-5 -0.8660201 -0.5000092 1 0 0 7.71121e-5 0.8660438 -0.4999681 1 0 0 1 0 0 -2.09544e-4 0 -1 1 0 0 0 0.8660436 0.4999684 0 0.8660197 -0.5000099 1 0 0 -2.10475e-4 0 1 1 0 0 7.66662e-5 0.8660197 0.5000099 -2.10475e-4 0 1 1 0 0 0 1 0 1 0 0 0 0.9238733 -0.3826982 0 1 0 0 0.9238733 -0.3826982 1 0 0 0 0.9238733 0.3826982 1 0 0 0 0.3826936 0.9238753 0 0.9238733 0.3826982 1 0 0 0 0 1 1 0 0 0 0.3826936 0.9238753 1 0 0 0 -0.3826936 0.9238753 1 0 0 0 0 1 1 0 0 0 -0.9238733 0.3826982 1 0 0 0 -0.3826936 0.9238753 1 0 0 0 -1 0 0 -1 0 0 -0.9238733 0.3826982 1 0 0 0 -0.9238733 -0.3826982 1 0 0 0 -0.3826936 -0.9238753 0 -0.9238733 -0.3826982 1 0 0 0 0 -1 0 -0.3826936 -0.9238753 1 0 0 0 0.3826936 -0.9238753 1 0 0 0 0 -1 1 0 0 0 0.3826936 -0.9238753 1 0 0 0 0 -1 1 0 0 0 -0.3827093 -0.9238688 0 -0.3827093 -0.9238688 1 0 0 0 0.3827093 -0.9238688 1 0 0 0 0 -1 1 0 0 0 0.9238685 -0.38271 0 0.3827093 -0.9238688 1 0 0 0 1 0 1 0 0 0 1 0 0 0.9238685 -0.38271 1 0 0 0 0.9238685 0.38271 1 0 0 0 0.3827092 0.9238688 0 0.9238685 0.38271 0 0 1 0 0.3827092 0.9238688 0 -0.3827092 0.9238688 0 0 1 0 -0.9238685 0.38271 0 -0.3827092 0.9238688 1 0 0 0 -1 0 1 0 0 0 -1 0 0 -0.9238685 0.38271 1 0 0 0 -0.9238685 -0.38271 0 -0.9238685 -0.38271 0 -1 0 0 -0.9238802 -0.382682 0 -0.9238802 -0.382682 0 -0.9238691 0.3827087 0 -1 0 1 0 0 0 -0.3827059 0.9238702 1 0 0 0 -0.9238691 0.3827087 0 0 1 0 -0.3827059 0.9238702 0 0.3827059 0.9238702 0 0 1 0 0.9238691 0.3827087 0 0.3827059 0.9238702 0 1 0 0 0.9238691 0.3827087 0 0.9238802 -0.382682 0 1 0 1 0 0 0 0.382685 -0.9238789 1 0 0 1 0 0 1 0 0 0 0.9238802 -0.382682 0 0 -1 0 0.382685 -0.9238789 1 0 0 0 0.3826925 -0.9238757 1 0 0 0 0 -1 1 0 0 -0.01689261 0.9237439 -0.382638 1 0 0 0.008513689 0.7070857 -0.7070767 -0.02497339 0.2587139 -0.9656311 0 1 0 -0.01599788 0.9264035 -0.3761923 0 1 0 0 0.9920853 -0.1255661 1 0 0 0 0.9238788 -0.382685 1 0 0 5.41221e-7 0.3826462 -0.923895 1 0 0 -5.51341e-6 0.9238567 -0.3827388 0 0 -1 0 0 -1 0 0 -1 0 0.3826408 -0.9238971 0 -0.3826462 -0.923895 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 3.99476e-6 -0.9238789 -0.382685 -3.99358e-6 -0.3826851 -0.9238788 0 -1 0 0 -1 0 0 -0.923895 -0.3826462 0 -1 0 0 -1 0 0 -1 0 0 -0.9238757 -0.3826926 -0.01689308 -0.382638 -0.9237439 0.008513689 -0.7070857 -0.7070767 -0.01734167 -0.9264427 -0.3760362 -0.05254 -0.9931656 -0.1042189 0 0 -1 0 -0.2587946 -0.9659324 0 -0.382685 -0.9238789 0 0 -1 0 -0.382685 -0.9238789 -1 0 0 0 -0.9659038 0.2589012 -1 0 0 3.63632e-5 -0.9659038 -0.2589012 0 -0.9659233 -0.2588285 -1 0 0 -2.84164e-5 -0.707167 0.7070466 3.89816e-5 -0.9659247 0.2588233 -1 0 0 -6.88668e-6 -0.2587385 0.9659474 -1 0 0 -7.67189e-5 -0.7070963 0.7071172 -1 0 0 4.79793e-5 0.2587328 0.9659489 -1 0 0 -1 0 0 4.79778e-5 -0.2588483 0.965918 -1 0 0 -7.72798e-5 0.7071678 0.7070457 -1 0 0 -7.10285e-6 0.2588429 0.9659194 -1 0 0 2.89299e-5 0.9659034 0.2589024 -1 0 0 -3.5781e-5 0.7071071 0.7071064 -1 0 0 0 0.9659034 -0.2589024 -1 0 0 0 0.965919 0.2588446 -1 0 0 -4.29043e-5 0.7071678 -0.7070457 -1 0 0 2.6325e-5 0.9659176 -0.2588498 -1 0 0 -6.93701e-6 0.2587349 -0.9659484 -1 0 0 -7.71615e-5 0.7071177 -0.7070959 -1 0 0 3.86833e-5 -0.2587407 -0.9659469 -1 0 0 -1 0 0 -1 0 0 3.86823e-5 0.2588261 -0.965924 -1 0 0 -7.66211e-5 -0.707167 -0.7070466 -6.75036e-6 -0.2588315 -0.9659225 -1 0 0 -3.55615e-5 -0.707107 -0.7071067 0 -0.9659034 0.2589024 2.63178e-5 -0.9659034 -0.2589024 0 -0.9659176 -0.2588498 -3.57707e-5 -0.7071678 0.7070457 2.89386e-5 -0.965919 0.2588446 -7.08664e-6 -0.2587328 0.9659489 -7.72695e-5 -0.7071071 0.7071064 -1 0 0 4.79793e-5 0.2587385 0.9659474 -1 0 0 -1 0 0 -1 0 0 4.79779e-5 -0.2588429 0.9659194 -1 0 0 -7.67308e-5 0.707167 0.7070466 -6.90275e-6 0.2588483 0.965918 -1 0 0 3.89753e-5 0.9659038 0.2589012 -1 0 0 -2.84291e-5 0.7070963 0.7071173 -1 0 0 0 0.9659038 -0.2589012 0 0.9659247 0.2588233 -1 0 0 -3.55501e-5 0.707167 -0.7070466 3.63733e-5 0.9659233 -0.2588285 -1 0 0 -6.73705e-6 0.2587407 -0.9659469 -1 0 0 -7.66109e-5 0.707107 -0.7071067 3.86833e-5 -0.2587349 -0.9659484 3.86823e-5 0.2588315 -0.9659225 -7.717e-5 -0.7071678 -0.7070457 -6.95045e-6 -0.2588261 -0.965924 -4.29133e-5 -0.7071177 -0.7070959 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9884126 0 0.1517915 -0.9919906 -0.001782178 0.1262987 -1 0 0 0.01283919 0.6764305 0.7363946 -0.01220017 0.2588129 0.9658505 -9.51682e-6 0.2314723 0.9728415 -1 0 0 0.006857395 0.96213 0.2725051 -1 0 0 -0.0065611 0.7070811 0.707102 -1 0 0 0 0.9659038 -0.2589012 -1 0 0 0 0.9659246 0.2588233 -1 0 0 -2.83067e-5 0.707167 -0.7070466 3.90255e-5 0.9659247 -0.2588232 -1 0 0 -6.73714e-6 0.2587412 -0.9659466 -7.66091e-5 0.7070963 -0.7071172 -1 0 0 3.68841e-5 -0.2587355 -0.9659482 -1 0 0 -1 0 0 3.68831e-5 0.2588285 -0.9659233 -1 0 0 -7.717e-5 -0.7071678 -0.7070457 -1 0 0 -6.95001e-6 -0.2588231 -0.9659246 -1 0 0 2.89701e-5 -0.9659034 -0.2589024 -1 0 0 -3.56712e-5 -0.7071071 -0.7071064 -1 0 0 0 -0.9621523 0.2725126 -1 0 0 0 -0.965919 -0.2588445 -1 0 0 0.01283919 -0.6764305 0.7363946 -1 0 0 0.007211387 -0.9658938 0.2588379 -0.006568074 -0.7070918 0.7070912 -0.9884126 0 0.1517915 -0.9884126 0 0.1517916 -0.01366221 -0.2309731 0.9728643 0.01283919 0.6764305 0.7363946 -0.01220047 0.2588074 0.9658519 -9.5166e-6 0.2314668 0.9728428 0.006847321 0.9621297 0.2725062 -0.006568074 0.7070918 0.7070912 0 0.9659034 -0.2589024 0 0.965919 0.2588447 -3.56609e-5 0.7071678 -0.7070457 2.89774e-5 0.965919 -0.2588445 -6.9371e-6 0.2587355 -0.9659482 -7.71597e-5 0.7071071 -0.7071064 3.6884e-5 -0.2587412 -0.9659466 3.68832e-5 0.2588231 -0.9659246 -1 0 0 -7.66211e-5 -0.707167 -0.7070466 -6.74992e-6 -0.2588285 -0.9659234 -1 0 0 3.90155e-5 -0.9659038 -0.2589012 -2.83194e-5 -0.7070963 -0.7071173 -1 0 0 0 -0.9621525 0.2725115 0 -0.9659247 -0.2588232 -1 0 0 0.01283919 -0.6764305 0.7363946 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.007221996 -0.9658995 0.2588166 -0.0065611 -0.7070811 0.707102 -0.9919008 0 0.1270148 -0.01366192 -0.2309785 0.9728629 -0.9893709 0.001554369 0.1454059 -0.4999824 -0.8660356 0 0 0 -1 0.4999945 -0.8660287 0 0 0 -1 0.4999945 -0.8660287 0 -1 0 0 -0.4999824 -0.8660356 0 -0.5000032 0.8660236 0 -1 0 0 0 0 -1 0.5000153 0.8660167 0 -0.5000032 0.8660236 0 0 0 -1 1 0 0 0 0 -1 0.5000153 0.8660167 0 0 0 -1 1 0 0 0 0 -1 -0.4999821 -0.8660358 0 0 0 -1 0.4999941 -0.8660289 0 0 0 -1 0.4999941 -0.8660289 0 -1 0 0 -0.4999821 -0.8660358 0 -0.500003 0.8660236 0 -1 0 0 0.5000151 0.8660168 0 -0.500003 0.8660236 0 0 0 -1 1 0 0 0.5000151 0.8660168 0 0 0 -1 1 0 0 0.4999941 0.8660289 0 -0.4999821 0.8660358 0 -0.4999821 0.8660358 0 0 0 -1 1 0 0 0.4999941 0.8660289 0 0 0 -1 0.5000151 -0.8660168 0 1 0 0 0 0 -1 -0.500003 -0.8660236 0 0 0 -1 0 0 -1 0.5000151 -0.8660168 0 -1 0 0 -0.500003 -0.8660236 0 -1 0 0 0.4999945 0.8660287 0 -0.4999824 0.8660356 0 -0.4999824 0.8660356 0 0 0 -1 1 0 0 0.4999945 0.8660287 0 0 0 -1 0.5000153 -0.8660167 0 1 0 0 -0.5000032 -0.8660236 0 0.5000153 -0.8660167 0 -1 0 0 -0.5000032 -0.8660236 0 -1 0 0 -0.1932691 0 -0.9811458 -0.1933831 0.3754253 -0.9064539 -0.1933284 1.62763e-6 -0.9811341 -0.2563736 -0.3699048 -0.8929967 -0.1892333 -0.4579477 -0.868605 -0.3827688 -0.9238441 0 -0.1909854 -0.980089 0.05431395 -0.1933844 -0.9064517 -0.3754304 0 0 1 0 0 1 0 0 1 -0.2588396 0 0.9659203 0 0 1 -0.7071347 0 0.7070789 -0.2588396 0 0.9659203 -0.7071347 0 0.7070789 -0.9256073 0 0.3784856 0 1 0 -0.1933284 0.9811341 0 0 0 1 -0.3827688 0.9238439 6.69196e-4 -0.5465772 0.8357917 0.05201464 0 1 0 0 1 0 -0.2563524 0.8929804 -0.3699588 -0.189289 0.8686152 -0.4579054 -0.915436 0 0.4024634 -0.9255474 -0.001330554 0.3786295 -0.4642439 0.008653461 0.8856651 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -0.9807249 0 -0.1953936 -1 0 0 -0.980725 -0.1953933 0 -0.9735367 -0.1615969 -0.1615949 -0.9807249 0 -0.1953936 -0.9238458 0.3827648 0 -0.9771474 0.2055361 0.05420202 -0.9735367 0.1615969 -0.1615949 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9234723 -0.38261 0.02843374 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8826168 0.4698674 0.01457005 -0.7744444 0.6326419 -1.52323e-4 -0.5520654 -0.8338007 3.62529e-4 -0.8300759 -0.5576505 -3.02744e-4 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -9.45046e-6 -0.2588321 0.9659222 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -9.45048e-6 -0.2588267 0.9659238 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -0.3573585 -0.8143703 -0.45727 -0.3573428 0.4572592 -0.8143832 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -0.5499483 -0.7622233 -0.3414273 -0.7932361 -0.4513181 -0.4087643 -0.863027 -0.3994668 -0.3092095 -0.8484645 -0.3742401 -0.3742356 -0.8837001 0.002892494 -0.4680446 -0.8300485 0 -0.5576913 -0.7744311 -2.36637e-7 -0.6326584 -0.7720583 -0.2641273 -0.5780681 -0.552119 1.38333e-6 -0.8337654 -0.5588862 -0.2138102 -0.8012062 -0.552091 4.70373e-7 -0.8337839 -0.5499436 0.341415 -0.7622321 -0.7932139 0.4087922 -0.451332 -0.8630353 0.309196 -0.3994593 -0.8484423 0.3742654 -0.3742609 -0.7720611 0.5780797 -0.2640939 -0.5589059 0.801204 -0.2137672 -1 0 0 0 0.8660436 -0.4999684 -1 0 0 -6.19793e-5 0.8660438 0.4999682 0 0.8660244 0.5000019 -1 0 0 2.10475e-4 0 -1 -7.66662e-5 0.8660197 -0.5000099 -1 0 0 -4.92192e-5 -0.8660355 -0.4999825 -1 0 0 -1 0 0 2.10475e-4 0 -1 -1 0 0 0 -0.8660355 0.4999824 -1 0 0 0 -0.8660201 -0.5000092 -1 0 0 2.39811e-4 0 1 -1 0 0 -3.45312e-5 -0.8660247 0.5000012 -1 0 0 -1 0 0 2.39811e-4 0 1 0 0.8660355 -0.4999825 -3.45517e-5 0.8660355 0.4999824 0 0.8660247 0.5000012 -1 0 0 2.10475e-4 0 -1 -4.92398e-5 0.8660201 -0.5000092 -1 0 0 -7.66464e-5 -0.8660436 -0.4999684 -1 0 0 -1 0 0 2.10475e-4 0 -1 -1 0 0 0 -0.8660438 0.4999682 0 -0.8660197 -0.5000099 -1 0 0 2.39811e-4 0 1 -6.19572e-5 -0.8660244 0.5000019 2.39811e-4 0 1 -1 0 0 0 0.8660438 -0.4999681 -1 0 0 -7.66464e-5 0.8660436 0.4999684 -1 0 0 -1 0 0 0 0.8660197 0.5000099 -1 0 0 2.09544e-4 0 -1 -7.71636e-5 0.8660197 -0.5000099 -1 0 0 -4.96849e-5 -0.8660356 -0.4999823 -1 0 0 -1 0 0 -1 0 0 2.09544e-4 0 -1 -1 0 0 0 -0.8660355 0.4999825 -1 0 0 0 -0.8660201 -0.5000092 -1 0 0 2.10475e-4 0 1 -1 0 0 -4.92398e-5 -0.8660201 0.5000092 -1 0 0 -1 0 0 2.10475e-4 0 1 0 0.8660356 -0.4999823 -4.92192e-5 0.8660355 0.4999825 0 0.8660201 0.5000092 -1 0 0 2.09544e-4 0 -1 -4.97371e-5 0.8660201 -0.5000092 -1 0 0 -7.71121e-5 -0.8660438 -0.4999681 -1 0 0 -1 0 0 2.09544e-4 0 -1 -1 0 0 0 -0.8660436 0.4999684 0 -0.8660197 -0.5000099 -1 0 0 2.10475e-4 0 1 -1 0 0 -7.66662e-5 -0.8660197 0.5000099 2.10475e-4 0 1 -1 0 0 0 -1 0 -1 0 0 0 -0.9238733 -0.3826982 0 -1 0 0 -0.9238733 -0.3826982 -1 0 0 0 -0.9238733 0.3826982 -1 0 0 0 -0.3826936 0.9238753 0 -0.9238733 0.3826982 -1 0 0 0 0 1 -1 0 0 0 -0.3826936 0.9238753 -1 0 0 0 0.3826936 0.9238753 -1 0 0 0 0 1 -1 0 0 0 0.9238733 0.3826982 -1 0 0 0 0.3826936 0.9238753 -1 0 0 0 1 0 0 1 0 0 0.9238733 0.3826982 -1 0 0 0 0.9238733 -0.3826982 -1 0 0 0 0.3826936 -0.9238753 0 0.9238733 -0.3826982 -1 0 0 0 0 -1 0 0.3826936 -0.9238753 -1 0 0 0 -0.3826936 -0.9238753 -1 0 0 0 0 -1 -1 0 0 0 -0.3826936 -0.9238753 -1 0 0 0 0 -1 -1 0 0 0 0.3827093 -0.9238688 0 0.3827093 -0.9238688 -1 0 0 0 -0.3827093 -0.9238688 -1 0 0 0 0 -1 -1 0 0 0 -0.9238685 -0.38271 0 -0.3827093 -0.9238688 -1 0 0 0 -1 0 -1 0 0 0 -1 0 0 -0.9238685 -0.38271 -1 0 0 0 -0.9238685 0.38271 -1 0 0 0 -0.3827092 0.9238688 0 -0.9238685 0.38271 0 0 1 0 -0.3827092 0.9238688 0 0.3827092 0.9238688 0 0 1 0 0.9238685 0.38271 0 0.3827092 0.9238688 -1 0 0 0 1 0 -1 0 0 0 1 0 0 0.9238685 0.38271 -1 0 0 0 0.9238685 -0.38271 0 0.9238685 -0.38271 0 1 0 0 0.9238802 -0.382682 0 0.9238802 -0.382682 0 0.9238691 0.3827087 0 1 0 -1 0 0 0 0.3827059 0.9238702 -1 0 0 0 0.9238691 0.3827087 0 0 1 0 0.3827059 0.9238702 0 -0.3827059 0.9238702 0 0 1 0 -0.9238691 0.3827087 0 -0.3827059 0.9238702 0 -1 0 0 -0.9238691 0.3827087 0 -0.9238802 -0.382682 0 -1 0 -1 0 0 0 -0.382685 -0.9238789 -1 0 0 -1 0 0 -1 0 0 0 -0.9238802 -0.382682 0 0 -1 0 -0.382685 -0.9238789 -1 0 0 0 -0.3826925 -0.9238757 -1 0 0 0 0 -1 -1 0 0 0.01689261 -0.9237439 -0.382638 -1 0 0 -0.008513689 -0.7070857 -0.7070767 0.02497339 -0.2587139 -0.9656311 0 -1 0 0.01599788 -0.9264035 -0.3761923 0 -1 0 0 -0.9920853 -0.1255661 -1 0 0 0 -0.9238788 -0.382685 -1 0 0 -5.41221e-7 -0.3826462 -0.923895 -1 0 0 5.51341e-6 -0.9238567 -0.3827388 0 0 -1 0 0 -1 0 0 -1 0 -0.3826408 -0.9238971 0 0.3826462 -0.923895 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -3.99476e-6 0.9238789 -0.382685 3.99358e-6 0.3826851 -0.9238788 0 1 0 0 1 0 0 0.923895 -0.3826462 0 1 0 0 1 0 0 1 0 0 0.9238757 -0.3826926 0.01689308 0.382638 -0.9237439 -0.008513689 0.7070857 -0.7070767 0.01734167 0.9264427 -0.3760362 0.05254 0.9931656 -0.1042189 0 0 -1 0 0.2587946 -0.9659324 0 0.382685 -0.9238789 0 0 -1 0 0.382685 -0.9238789 1 0 0 0 0.9659038 0.2589012 1 0 0 -3.63632e-5 0.9659038 -0.2589012 0 0.9659233 -0.2588285 1 0 0 2.84164e-5 0.707167 0.7070466 -3.89816e-5 0.9659247 0.2588233 1 0 0 6.88668e-6 0.2587385 0.9659474 1 0 0 7.67189e-5 0.7070963 0.7071172 1 0 0 -4.79793e-5 -0.2587328 0.9659489 1 0 0 1 0 0 -4.79778e-5 0.2588483 0.965918 1 0 0 7.72798e-5 -0.7071678 0.7070457 1 0 0 7.10285e-6 -0.2588429 0.9659194 1 0 0 -2.89299e-5 -0.9659034 0.2589024 1 0 0 3.5781e-5 -0.7071071 0.7071064 1 0 0 0 -0.9659034 -0.2589024 1 0 0 0 -0.965919 0.2588446 1 0 0 4.29043e-5 -0.7071678 -0.7070457 1 0 0 -2.6325e-5 -0.9659176 -0.2588498 1 0 0 6.93701e-6 -0.2587349 -0.9659484 1 0 0 7.71615e-5 -0.7071177 -0.7070959 1 0 0 -3.86833e-5 0.2587407 -0.9659469 1 0 0 1 0 0 1 0 0 -3.86823e-5 -0.2588261 -0.965924 1 0 0 7.66211e-5 0.707167 -0.7070466 6.75036e-6 0.2588315 -0.9659225 1 0 0 3.55615e-5 0.707107 -0.7071067 0 0.9659034 0.2589024 -2.63178e-5 0.9659034 -0.2589024 0 0.9659176 -0.2588498 3.57707e-5 0.7071678 0.7070457 -2.89386e-5 0.965919 0.2588446 7.08664e-6 0.2587328 0.9659489 7.72695e-5 0.7071071 0.7071064 1 0 0 -4.79793e-5 -0.2587385 0.9659474 1 0 0 1 0 0 1 0 0 -4.79779e-5 0.2588429 0.9659194 1 0 0 7.67308e-5 -0.707167 0.7070466 6.90275e-6 -0.2588483 0.965918 1 0 0 -3.89753e-5 -0.9659038 0.2589012 1 0 0 2.84291e-5 -0.7070963 0.7071173 1 0 0 0 -0.9659038 -0.2589012 0 -0.9659247 0.2588233 1 0 0 3.55501e-5 -0.707167 -0.7070466 -3.63733e-5 -0.9659233 -0.2588285 1 0 0 6.73705e-6 -0.2587407 -0.9659469 1 0 0 7.66109e-5 -0.707107 -0.7071067 -3.86833e-5 0.2587349 -0.9659484 -3.86823e-5 -0.2588315 -0.9659225 7.717e-5 0.7071678 -0.7070457 6.95045e-6 0.2588261 -0.965924 4.29133e-5 0.7071177 -0.7070959 1 0 0 1 0 0 1 0 0 1 0 0 0.9884126 0 0.1517915 0.9919906 0.001782178 0.1262987 1 0 0 -0.01283919 -0.6764305 0.7363946 0.01220017 -0.2588129 0.9658505 9.51682e-6 -0.2314723 0.9728415 1 0 0 -0.006857395 -0.96213 0.2725051 1 0 0 0.0065611 -0.7070811 0.707102 1 0 0 0 -0.9659038 -0.2589012 1 0 0 0 -0.9659246 0.2588233 1 0 0 2.83067e-5 -0.707167 -0.7070466 -3.90255e-5 -0.9659247 -0.2588232 1 0 0 6.73714e-6 -0.2587412 -0.9659466 7.66091e-5 -0.7070963 -0.7071172 1 0 0 -3.68841e-5 0.2587355 -0.9659482 1 0 0 1 0 0 -3.68831e-5 -0.2588285 -0.9659233 1 0 0 7.717e-5 0.7071678 -0.7070457 1 0 0 6.95001e-6 0.2588231 -0.9659246 1 0 0 -2.89701e-5 0.9659034 -0.2589024 1 0 0 3.56712e-5 0.7071071 -0.7071064 1 0 0 0 0.9621523 0.2725126 1 0 0 0 0.965919 -0.2588445 1 0 0 -0.01283919 0.6764305 0.7363946 1 0 0 -0.007211387 0.9658938 0.2588379 0.006568074 0.7070918 0.7070912 0.9884126 0 0.1517915 0.9884126 0 0.1517916 0.01366221 0.2309731 0.9728643 -0.01283919 -0.6764305 0.7363946 0.01220047 -0.2588074 0.9658519 9.5166e-6 -0.2314668 0.9728428 -0.006847321 -0.9621297 0.2725062 0.006568074 -0.7070918 0.7070912 0 -0.9659034 -0.2589024 0 -0.965919 0.2588447 3.56609e-5 -0.7071678 -0.7070457 -2.89774e-5 -0.965919 -0.2588445 6.9371e-6 -0.2587355 -0.9659482 7.71597e-5 -0.7071071 -0.7071064 -3.6884e-5 0.2587412 -0.9659466 -3.68832e-5 -0.2588231 -0.9659246 1 0 0 7.66211e-5 0.707167 -0.7070466 6.74992e-6 0.2588285 -0.9659234 1 0 0 -3.90155e-5 0.9659038 -0.2589012 2.83194e-5 0.7070963 -0.7071173 1 0 0 0 0.9621525 0.2725115 0 0.9659247 -0.2588232 1 0 0 -0.01283919 0.6764305 0.7363946 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -0.007221996 0.9658995 0.2588166 0.0065611 0.7070811 0.707102 0.9919008 0 0.1270148 0.01366192 0.2309785 0.9728629 0.9893709 -0.001554369 0.1454059 0.4999824 0.8660356 0 0 0 -1 -0.4999945 0.8660287 0 0 0 -1 -0.4999945 0.8660287 0 1 0 0 0.4999824 0.8660356 0 0.5000032 -0.8660236 0 1 0 0 0 0 -1 -0.5000153 -0.8660167 0 0.5000032 -0.8660236 0 0 0 -1 -1 0 0 0 0 -1 -0.5000153 -0.8660167 0 0 0 -1 -1 0 0 0 0 -1 0.4999821 0.8660358 0 0 0 -1 -0.4999941 0.8660289 0 0 0 -1 -0.4999941 0.8660289 0 1 0 0 0.4999821 0.8660358 0 0.500003 -0.8660236 0 1 0 0 -0.5000151 -0.8660168 0 0.500003 -0.8660236 0 0 0 -1 -1 0 0 -0.5000151 -0.8660168 0 0 0 -1 -1 0 0 -0.4999941 -0.8660289 0 0.4999821 -0.8660358 0 0.4999821 -0.8660358 0 0 0 -1 -1 0 0 -0.4999941 -0.8660289 0 0 0 -1 -0.5000151 0.8660168 0 -1 0 0 0 0 -1 0.500003 0.8660236 0 0 0 -1 0 0 -1 -0.5000151 0.8660168 0 1 0 0 0.500003 0.8660236 0 1 0 0 -0.4999945 -0.8660287 0 0.4999824 -0.8660356 0 0.4999824 -0.8660356 0 0 0 -1 -1 0 0 -0.4999945 -0.8660287 0 0 0 -1 -0.5000153 0.8660167 0 -1 0 0 0.5000032 0.8660236 0 -0.5000153 0.8660167 0 1 0 0 0.5000032 0.8660236 0 1 0 0 0.1932691 0 -0.9811458 0.1933831 -0.3754253 -0.9064539 0.1933284 -1.62763e-6 -0.9811341 0.2563736 0.3699048 -0.8929967 0.1892333 0.4579477 -0.868605 0.3827688 0.9238441 0 0.1909854 0.980089 0.05431395 0.1933844 0.9064517 -0.3754304 0 0 1 0 0 1 0 0 1 0.2588396 0 0.9659203 0 0 1 0.7071347 0 0.7070789 0.2588396 0 0.9659203 0.7071347 0 0.7070789 0.9256073 0 0.3784856 0 -1 0 0.1933284 -0.9811341 0 0 0 1 0.3827688 -0.9238439 6.69196e-4 0.5465772 -0.8357917 0.05201464 0 -1 0 0 -1 0 0.2563524 -0.8929804 -0.3699588 0.189289 -0.8686152 -0.4579054 0.915436 0 0.4024634 0.9255474 0.001330554 0.3786295 0.4642439 -0.008653461 0.8856651 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0.9807249 0 -0.1953936 1 0 0 0.980725 0.1953933 0 0.9735367 0.1615969 -0.1615949 0.9807249 0 -0.1953936 0.9238458 -0.3827648 0 0.9771474 -0.2055361 0.05420202 0.9735367 -0.1615969 -0.1615949 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9234723 0.38261 0.02843374 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8826168 -0.4698674 0.01457005 0.7744444 -0.6326419 -1.52323e-4 0.5520654 0.8338007 3.62529e-4 0.8300759 0.5576505 -3.02744e-4 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 9.45046e-6 0.2588321 0.9659222 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 9.45048e-6 0.2588267 0.9659238 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.3573585 0.8143703 -0.45727 0.3573428 -0.4572592 -0.8143832 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0.5499483 0.7622233 -0.3414273 0.7932361 0.4513181 -0.4087643 0.863027 0.3994668 -0.3092095 0.8484645 0.3742401 -0.3742356 0.8837001 -0.002892494 -0.4680446 0.8300485 0 -0.5576913 0.7744311 2.36637e-7 -0.6326584 0.7720583 0.2641273 -0.5780681 0.552119 -1.38333e-6 -0.8337654 0.5588862 0.2138102 -0.8012062 0.552091 -4.70373e-7 -0.8337839 0.5499436 -0.341415 -0.7622321 0.7932139 -0.4087922 -0.451332 0.8630353 -0.309196 -0.3994593 0.8484423 -0.3742654 -0.3742609 0.7720611 -0.5780797 -0.2640939 0.5589059 -0.801204 -0.2137672 -1 0 0 0 -0.2588515 0.9659171 -1 0 0 -2.15049e-5 0.2588515 0.9659172 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.2588455 0.9659187 -1 0 0 -3.17747e-5 -0.7071067 0.707107 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.21991e-5 -0.2588453 0.9659188 -1 0 0 -1.29106e-4 -0.9659174 0.2588508 -1 0 0 -1 0 0 1.06013e-4 -0.7071348 0.7070788 5.80227e-5 -0.9659169 -0.2588522 5.80012e-5 -0.9659312 0.2587985 -1 0 0 1.16561e-4 -0.7071077 -0.7071059 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.25265e-4 -0.9659307 -0.2588011 -1 0 0 -3.29628e-5 -0.258852 -0.9659171 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -3.9804e-5 -0.7071396 -0.707074 -1 0 0 0 0.258852 -0.9659169 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.2588428 -0.9659194 -1 0 0 -3.78662e-5 0.707108 -0.7071055 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -3.23135e-5 0.258843 -0.9659193 -1 0 0 -1.25248e-4 0.9659169 -0.2588522 -1 0 0 -1 0 0 1.16522e-4 0.7071396 -0.707074 5.5324e-5 0.9659174 0.2588508 5.53086e-5 0.9659304 -0.2588018 -1 0 0 1.06025e-4 0.707107 0.7071066 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.2914e-4 0.9659311 0.2587993 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -2.99518e-5 0.7071348 0.7070788 -1 0 0 0 0.4999924 0.8660298 -1 0 0 0 -0.4999927 0.8660296 0 -0.4999927 0.8660296 -1 0 0 0 1 0 0 0.4999924 0.8660298 0 0.4999857 -0.8660337 -1 0 0 0 1 0 0 -0.4999859 -0.8660336 0 0.4999857 -0.8660337 0 -1 0 0 -0.4999859 -0.8660336 -1 0 0 0 -1 0 -1 0 0 0 -0.2588369 0.9659211 -1 0 0 0 -0.9659347 0.2587858 -1 0 0 -1 0 0 0 -0.9659347 0.2587858 -1 0 0 0 0.7071367 0.7070769 -1 0 0 -1 0 0 0 -0.2588369 0.9659211 0 0.9659254 -0.2588206 -1 0 0 -1 0 0 0 0.7071367 0.7070769 0 0.2587915 -0.9659332 0 0.9659254 -0.2588206 -1 0 0 0 -0.7071046 -0.7071091 0 0.2587915 -0.9659332 0 -0.7071046 -0.7071091 -1 0 0 0 -0.8660064 0.5000329 -1 0 0 0 -0.8660211 -0.5000075 -1 0 0 -1 0 0 0 -0.8660211 -0.5000075 0 0 1 0 -0.8660064 0.5000329 0 0.8660221 0.5000058 0 0 1 -1 0 0 0 0.8660368 -0.4999804 -1 0 0 0 0.8660221 0.5000058 -1 0 0 0 0 -1 -1 0 0 -1 0 0 0 0.8660368 -0.4999804 -1 0 0 0 0 -1 -1 0 0 0 -0.96592 -0.2588409 -1 0 0 0 -0.2588463 -0.9659185 -1 0 0 0 -0.2588463 -0.9659185 -1 0 0 0 -0.7071381 0.7070754 0 -0.96592 -0.2588409 0 0.2588464 0.9659186 -1 0 0 -1 0 0 0 -0.7071381 0.7070754 0 0.9659205 0.2588389 0 0.2588464 0.9659186 -1 0 0 0 0.7071337 -0.70708 0 0.9659205 0.2588389 0 0.7071337 -0.70708 -1 0 0 0 -0.4999961 -0.8660277 -1 0 0 0 0.5000116 -0.8660187 0 0.5000116 -0.8660187 -1 0 0 0 -1 0 0 -0.4999961 -0.8660277 0 -0.4999893 0.8660316 -1 0 0 0 -1 0 0 0.5000048 0.8660226 0 -0.4999893 0.8660316 0 1 0 0 0.5000048 0.8660226 -1 0 0 0 1 0 -1 0 0 0 0.2587929 -0.9659329 -1 0 0 0 0.9659237 -0.258827 -1 0 0 -1 0 0 0 0.9659237 -0.258827 -1 0 0 0 -0.707104 -0.7071096 -1 0 0 -1 0 0 0 0.2587929 -0.9659329 0 -0.9659237 0.258827 -1 0 0 -1 0 0 0 -0.707104 -0.7071096 0 -0.2588462 0.9659186 0 -0.9659237 0.258827 -1 0 0 0 0.7071361 0.7070775 0 -0.2588462 0.9659186 0 0.7071361 0.7070775 -1 0 0 0 0.8660368 -0.4999804 -1 0 0 0 0.8660221 0.5000058 -1 0 0 -1 0 0 0 0.8660221 0.5000058 0 0 -1 0 0.8660368 -0.4999804 0 -0.8660368 -0.4999804 0 0 -1 -1 0 0 0 -0.8660221 0.5000058 -1 0 0 0 -0.8660368 -0.4999804 -1 0 0 0 0 1 -1 0 0 -1 0 0 0 -0.8660221 0.5000058 -1 0 0 0 0 1 -1 0 0 0 0.9659225 0.258831 -1 0 0 0 0.2588295 0.9659231 -1 0 0 0 0.2588295 0.9659231 -1 0 0 0 0.7071087 -0.7071048 0 0.9659225 0.258831 0 -0.2588204 -0.9659255 -1 0 0 -1 0 0 0 0.7071087 -0.7071048 0 -0.9659324 -0.2587946 0 -0.2588204 -0.9659255 -1 0 0 0 -0.7071071 0.7071065 0 -0.9659324 -0.2587946 0 -0.7071071 0.7071065 0 0.8660482 -0.4999606 -1.22676e-5 0.8660475 0.4999618 0 0.8660217 0.5000064 3.47693e-5 0 -1 -1.2265e-5 0.8660225 -0.5000051 -7.3515e-6 -0.8660483 -0.4999602 3.47693e-5 0 -1 -1 0 0 0 -0.8660477 0.4999616 0 -0.8660329 -0.499987 -1 0 0 3.47693e-5 0 1 -1 0 0 -7.35007e-6 -0.8660322 0.4999883 3.47693e-5 0 1 0 0.4999697 0.866043 -7.46347e-6 -0.4999697 0.866043 0 -0.4999968 0.8660272 3.42371e-5 1 0 -7.46646e-6 0.4999968 0.8660272 -8.69263e-6 0.4999674 -0.8660442 3.42371e-5 1 0 -1 0 0 0 -0.4999674 -0.8660442 0 0.499999 -0.8660259 -1 0 0 3.42371e-5 -1 0 -8.69101e-6 -0.499999 -0.8660259 3.42371e-5 -1 0 0 -0.8660452 0.4999657 -1.05442e-5 -0.8660467 -0.4999631 0 -0.8660246 -0.5000015 3.83172e-5 0 1 -5.5782e-6 -0.8660335 0.4999859 -5.57642e-6 0.8660348 0.4999835 3.83172e-5 0 1 -1 0 0 0 0.8660364 -0.4999809 0 0.8660232 0.5000039 -1 0 0 2.83831e-5 0 -1 -1 0 0 -1.05417e-5 0.8660143 -0.5000194 2.83831e-5 0 -1 0 -0.4999607 -0.8660481 -7.46392e-6 0.4999607 -0.8660481 0 0.4999879 -0.8660324 3.42371e-5 -1 0 -7.46651e-6 -0.4999879 -0.8660324 -7.46301e-6 -0.4999786 0.8660378 3.42371e-5 -1 0 -1 0 0 0 0.4999786 0.8660378 0 -0.5000058 0.8660221 -1 0 0 3.42371e-5 1 0 -7.46164e-6 0.5000058 0.8660221 3.42371e-5 1 0 0 -0.5669171 0.8237748 0.01111251 -0.6219884 0.7829475 0 -0.554695 0.8320537 -5.18103e-6 -0.8237733 0.5669194 -9.83158e-7 -0.5645303 0.8254125 0.002897083 -0.567974 0.8230414 0 -0.7829988 0.6220232 0 -0.8237777 0.5669131 0.0111649 -0.3866845 0.9221445 0.01654899 -0.8319367 0.5546238 -0.005613088 -0.6035879 0.7972767 0 -0.07277917 0.997348 0 -0.2281019 0.9736372 0.01115494 -0.3866153 0.9221736 0 0.07277071 0.9973487 0 -0.07277917 0.997348 0 0.3867086 0.9222019 0 0.07277071 0.9973487 0.01111179 0.7829507 0.6219846 0.03302454 0.2279776 0.9731062 0.01116985 0.3866152 0.9221735 -0.005613088 0.6035878 0.7972767 0 0.8237757 0.5669159 0 0.8320509 0.5546993 7.07821e-7 0.5669171 0.8237748 -2.67024e-6 0.8237764 0.5669149 0 0.6220268 0.7829959 0 0.566918 0.8237742 0.01117533 0.9221511 0.3866684 0.01656037 0.5545778 0.8319671 -0.005604505 0.7972928 0.6035668 0 0.9973464 0.07280308 0 0.97369 0.2278765 0.01117271 0.9221588 0.3866502 0 0.9973471 -0.07279407 0 0.9973464 0.07280308 0 0.9222087 -0.3866925 0 0.9973471 -0.07279407 0.0111351 0.6219882 -0.7829474 0.03306782 0.9731575 -0.2277519 0.01117664 0.9221588 -0.3866502 -0.005598664 0.7973456 -0.6034969 0 0.5669171 -0.8237748 0 0.5545533 -0.8321481 -2.67027e-6 0.823778 -0.5669125 7.32548e-7 0.5645303 -0.8254124 0.002899527 0.5679748 -0.8230409 0 0.7829671 -0.6220631 0 0.8237802 -0.5669093 0.01117587 0.3866844 -0.9221444 0.01655447 0.8319266 -0.5546386 -0.005603611 0.6035878 -0.7972768 0 0.0728023 -0.9973464 0 0.2278918 -0.9736865 0.0111714 0.3866534 -0.9221574 0 -0.07279437 -0.9973469 0 0.0728023 -0.9973464 0 -0.3867086 -0.9222019 0 -0.07279437 -0.9973469 0.01111578 -0.7829185 -0.6220249 0.0330668 -0.227767 -0.9731541 0.01117813 -0.3866533 -0.9221574 -0.005603551 -0.603588 -0.7972767 0 -0.8237756 -0.566916 0 -0.8320403 -0.5547152 -1.11179e-6 -0.5669171 -0.8237748 2.39042e-6 -0.8254081 -0.5645366 0.002892792 -0.8230434 -0.5679712 0 -0.6220268 -0.7829959 0 -0.5669159 -0.8237757 0.011168 -0.9221726 -0.3866174 0.01657444 -0.5545184 -0.8320064 -0.005608141 -0.7973456 -0.6034969 0 -0.9973464 -0.07280308 0 -0.97369 -0.2278765 0.01117271 -0.9221588 -0.3866502 0 -0.9973471 0.07279407 0 -0.9973464 -0.07280308 0 -0.9222301 0.3866416 0 -0.9973471 0.07279407 0.03305625 -0.973158 0.227752 0.01116567 -0.9221589 0.3866502 -0.005613982 -0.7972927 0.6035668 1 0 0 0 0.5000043 -0.866023 1 0 0 2.46347e-5 -0.5000001 -0.8660254 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.5000492 -0.8659971 1 0 0 -3.11386e-5 1 0 1 0 0 2.20312e-5 0.5000482 -0.8659976 1 0 0 -7.18329e-5 0.5000043 0.866023 1 0 0 1 0 0 1 0 0 6.72706e-5 1 2.26364e-4 1 0 0 0 -0.5000001 0.8660254 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.4998611 0.8661055 1 0 0 -2.59151e-5 -1 0 1 0 0 7.25751e-5 -1 2.2655e-4 -6.92009e-5 -0.4998622 0.866105 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.2588423 -0.9659197 1 0 0 -9.3966e-6 0.2588425 -0.9659196 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.2588512 -0.9659172 1 0 0 -1.18539e-5 -0.7071382 -0.7070754 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -9.39667e-6 -0.258851 -0.9659173 1 0 0 -3.98006e-5 -0.9659309 -0.2588002 1 0 0 2.887e-5 -0.7071104 -0.7071033 1 0 0 1.39617e-5 -0.9659314 0.2587983 1 0 0 1 0 0 1.39615e-5 -0.9659174 -0.2588503 1 0 0 3.05514e-5 -0.7071344 0.7070791 1 0 0 1 0 0 -3.91772e-5 -0.9659181 0.2588479 1 0 0 -7.0937e-6 -0.2588465 0.9659185 1 0 0 1 0 0 1 0 0 1 0 0 -1.01679e-5 -0.7071066 0.7071069 1 0 0 0 0.2588468 0.9659184 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.2588531 0.9659167 1 0 0 -1.01681e-5 0.707134 0.7070795 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -7.10631e-6 0.2588534 0.9659166 1 0 0 -3.99036e-5 0.9659316 0.2587977 1 0 0 3.00297e-5 0.7071065 0.7071069 1 0 0 1.85676e-5 0.9659311 -0.2587995 1 0 0 1 0 0 1.85674e-5 0.9659169 0.2588523 1 0 0 2.83381e-5 0.7071378 -0.7070757 1 0 0 1 0 0 -4.05131e-5 0.9659163 -0.2588546 1 0 0 1 0 0 1 0 0 1 0 0 -1.18538e-5 0.7071104 -0.7071033 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.8895234 0.4568896 3.8417e-5 -0.4073262 0.9132828 0 -0.4028187 0.9152799 1 0 0 -0.02374905 -0.6301218 -0.776133 1 0 0 -0.07643258 -0.5721527 0.8165778 0.01447147 -0.99336 -0.1141334 -0.03471887 -0.8426415 0.5373545 1 0 0 0 0 -1 1 0 0 0 0 -1 0 -0.4666938 -0.884419 1 0 0 0 0.2910908 -0.9566954 1 0 0 1 0 0 0 0.7743242 -0.632789 1 0 0 0 0.2910908 -0.9566954 1 0 0 0 0.8322456 -0.5544072 1 0 0 0 0.7743242 -0.632789 7.54873e-6 0.5544005 -0.83225 1 0 0 5.03066e-6 0.8322541 -0.5543943 0 0.6328108 -0.7743064 0 0.5543811 -0.8322629 0 0.9566949 -0.2910925 0 0.6328108 -0.7743064 0 1 0 0 1 0 0 0.9566949 -0.2910925 0 0.7763578 0.6302924 -0.02845752 -0.456751 0.8891392 -0.03205794 0.8839603 0.4664617 0.01447528 0.1141037 0.9933634 0 -0.825413 0.5645294 0 -0.8190932 0.5736606 -0.01945096 -0.5375 0.8430395 0.1766527 -0.8993623 0.3999266 0.1787662 -0.8999238 0.3977181 0 -0.4569111 -0.8895123 2.0717e-5 -0.9136213 -0.4065663 0 -0.9146982 -0.4041374 -0.02374947 0.776131 -0.6301243 -0.07645577 -0.8166957 -0.5719814 0.01447111 0.1141352 -0.9933598 -0.03471302 -0.5372957 -0.8426792 0 1 0 0 1 0 0 0.8844137 -0.4667038 0 0.9566901 0.291108 0 0.6328108 0.7743064 0 0.9566901 0.291108 0 0.5543991 0.8322511 0 0.6328108 0.7743064 0 0.8322548 0.5543934 0 0.5543991 0.8322511 0 0.7743226 0.6327911 0 0.8322548 0.5543934 0 0.2910947 0.9566943 0 0.7743226 0.6327911 0 0 1 0 0 1 0 0.2910947 0.9566943 0 -0.6303329 0.776325 -0.02845865 -0.8891517 -0.456727 -0.03206616 -0.466458 0.883962 0.01447051 -0.9933601 0.1141334 0 -0.5645305 -0.8254122 0 -0.5737118 -0.8190573 -0.01944875 -0.8430382 -0.5375021 0.1765486 -0.4000414 -0.8993318 0.1792116 -0.397256 -0.9000394 0 0.8895119 -0.4569121 2.03266e-5 0.4061771 -0.9137945 0 0.4037932 -0.9148503 1 0 0 -0.02375459 0.6301395 0.7761184 1 0 0 -0.07644629 0.5720329 -0.8166604 0.01447051 0.9933601 0.1141334 -0.03470849 0.8426896 -0.5372798 1 0 0 0 0 1 1 0 0 0 0 1 0 0.4666804 0.8844261 1 0 0 0 -0.2910944 0.9566943 1 0 0 1 0 0 0 -0.7743226 0.6327911 1 0 0 0 -0.2910944 0.9566943 1 0 0 0 -0.832248 0.5544036 1 0 0 0 -0.7743226 0.6327911 -4.11368e-6 -0.5543957 0.8322531 1 0 0 -3.17723e-7 -0.8322474 0.5544044 0 -0.6328108 0.7743064 0 -0.5544063 0.8322461 0 -0.9566901 0.2911079 0 -0.6328108 0.7743064 0 -1 0 0 -1 0 0 -0.9566901 0.2911079 0 -0.7763497 -0.6303024 -0.02846133 0.4567263 -0.8891519 -0.03205913 -0.883959 -0.466464 0.01447111 -0.1141352 -0.9933598 0 0.8254145 -0.5645271 0 0.8190932 -0.5736606 -0.01944988 0.5375183 -0.8430278 0.1764041 0.899294 -0.4001899 0.1788579 0.8999487 -0.3976207 0 0.6302841 -0.7763645 0 0 -1 -0.02846074 0.8891631 0.4567045 -0.03205972 0.4664363 -0.8839737 0.01447147 0.99336 -0.1141334 0 0.5645298 0.8254127 0 0.5738313 0.8189735 -0.01943969 0.8429905 0.5375772 0.002830564 0.82541 0.5645267 0.1802073 0.396224 0.9002954 0.1759003 0.4007316 0.8991513 0 0.4569364 0.8894994 1.7819e-5 0.9137312 0.4063192 0 0.9146575 0.4042297 -0.02374845 -0.7761387 0.630115 -0.07645273 0.8166959 0.5719816 0.01447522 -0.1141037 0.9933634 -0.03470617 0.5372779 0.8426909 0 -1 0 0 -1 0 0 -0.8844148 0.4667017 0 -0.9566949 -0.2910925 0 -0.6328108 -0.7743064 0 -0.9566949 -0.2910925 0 -0.5543779 -0.8322651 0 -0.6328108 -0.7743064 -3.22165e-7 -0.8322473 -0.5544044 -4.1199e-6 -0.5543884 -0.8322581 0 -0.7743242 -0.632789 0 -0.8322468 -0.5544053 0 -0.2910905 -0.9566955 0 -0.7743242 -0.632789 0 0 -1 0 -0.2910905 -0.9566955 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.923785 -0.3829118 6.10006e-4 0.9237662 0.3829565 0 0.9239191 0.3825881 -5.41715e-4 0.3828783 -0.9237986 5.36353e-4 0.9239189 -0.382588 -5.6437e-4 -0.3828781 -0.9237986 -5.64374e-4 0.3828647 -0.9238044 5.35965e-4 -0.9238075 -0.3828572 -5.41735e-4 -0.3828644 -0.9238044 0 -0.923789 0.382902 0 -0.9239417 -0.3825334 -3.62625e-4 -0.3829861 0.923754 6.10521e-4 -0.9239415 0.3825333 -5.50579e-4 0.3829863 0.9237537 -5.50607e-4 -0.3828728 0.923801 -3.62776e-4 0.382873 0.923801 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 -1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.2588523 0.9659168 -1 0 0 -8.86729e-5 0.2588523 0.9659168 -1 0 0 -1 0 0 0 0.2588463 0.9659185 -1 0 0 -1.27101e-4 -0.7071066 0.7071069 -1 0 0 -1 0 0 -1 0 0 -8.8676e-5 -0.2588463 0.9659185 -1 0 0 -5.01004e-4 -0.9659172 0.2588505 -1 0 0 -1 0 0 4.66166e-4 -0.707136 0.7070773 -1 0 0 2.32095e-4 -0.9659169 -0.2588525 2.32071e-4 -0.9659307 0.2588008 -1 0 0 4.66251e-4 -0.7071084 -0.7071051 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -5.01205e-4 -0.9659301 -0.2588027 -1 0 0 -1.31853e-4 -0.2588528 -0.9659168 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.58455e-4 -0.7071395 -0.707074 -1 0 0 0 0.2588528 -0.9659168 -1 0 0 -1 0 0 0 -0.2588438 -0.9659191 -1 0 0 -1.58711e-4 0.7071084 -0.7071051 -1 0 0 -1 0 0 -1 0 0 -1.31864e-4 0.2588438 -0.9659191 -1 0 0 -5.01e-4 0.9659167 -0.2588524 -1 0 0 -1 0 0 4.66164e-4 0.7071394 -0.7070739 -1 0 0 2.32095e-4 0.9659174 0.2588505 2.32072e-4 0.9659302 -0.2588027 -1 0 0 4.66256e-4 0.7071066 0.7071069 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -5.01201e-4 0.9659305 0.2588007 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.27276e-4 0.7071361 0.7070774 -1 0 0 0 -0.2588411 -0.96592 -1 0 0 8.54044e-5 0.2588411 -0.96592 -1 0 0 0 0.2588129 -0.9659275 -1 0 0 1.50475e-5 -0.707093 -0.7071207 -1 0 0 8.5407e-5 -0.2588129 -0.9659275 3.59392e-5 -0.707098 -0.7071156 -1 0 0 -1.85756e-5 -0.9659309 -0.2587999 -1 0 0 -1 0 0 -1 0 0 6.32288e-5 -0.9659309 0.2588001 -1 0 0 6.32384e-5 -0.9659237 -0.258827 -1 0 0 1.50538e-5 -0.7070922 0.7071213 -1 0 0 -1 0 0 -1.85547e-5 -0.9659236 0.2588272 -1 0 0 6.89548e-5 -0.2588411 0.96592 -1 0 0 -1 0 0 -1 0 0 2.38928e-5 -0.7070943 0.7071192 -1 0 0 0 0.2588411 0.96592 -1 0 0 0 -0.2588183 0.965926 -1 0 0 1.50475e-5 0.7070922 0.7071213 -1 0 0 6.89864e-5 0.2588183 0.965926 2.38975e-5 0.7070943 0.7071192 -1 0 0 -1.85756e-5 0.9659309 0.2588001 -1 0 0 -1 0 0 -1 0 0 6.32288e-5 0.9659309 -0.2587999 -1 0 0 6.32384e-5 0.9659236 0.2588272 -1 0 0 1.50537e-5 0.707093 -0.7071207 -1 0 0 -1 0 0 -1.85547e-5 0.9659237 -0.258827 -1 0 0 -1 0 0 -1 0 0 3.59915e-5 0.707098 -0.7071156 0 -0.500032 -0.8660069 0 0.500032 -0.8660069 0 0.500032 -0.8660069 0 -1 0 0 -0.500032 -0.8660069 0 -0.500005 0.8660226 0 -1 0 0 0.500005 0.8660226 0 -0.500005 0.8660226 0 1 0 0 0.500005 0.8660226 0 1 0 0 0.2587954 -0.9659322 -1 0 0 0 0.9659255 -0.2588202 -1 0 0 0 0.9659255 -0.2588202 0 -0.707089 -0.7071245 0 0.2587954 -0.9659322 0 -0.9659227 0.258831 0 -0.707089 -0.7071245 0 -0.2588291 0.9659231 0 -0.9659227 0.258831 0 0.7070871 0.7071266 0 -0.2588291 0.9659231 -1 0 0 0 0.7070871 0.7071266 0 0.8660378 -0.4999784 0 0.866021 0.5000078 0 0.866021 0.5000078 0 0 -1 0 0.8660378 -0.4999784 0 -0.8660403 -0.4999742 0 0 -1 0 -0.8660234 0.5000035 0 -0.8660403 -0.4999742 0 0 1 0 -0.8660234 0.5000035 0 0 1 0 0.9659197 0.2588417 0 0.2588459 0.9659186 0 0.2588459 0.9659186 0 0.7070893 -0.7071243 0 0.9659197 0.2588417 0 -0.258787 -0.9659345 0 0.7070893 -0.7071243 0 -0.9659202 -0.25884 0 -0.258787 -0.9659345 0 -0.7071162 0.7070975 0 -0.9659202 -0.25884 0 -0.7071162 0.7070975 0 0.5000117 0.8660186 0 -0.5000117 0.8660186 0 -0.5000117 0.8660186 0 1 0 0 0.5000117 0.8660186 0 0.4999643 -0.866046 0 1 0 0 -0.4999643 -0.866046 0 0.4999643 -0.866046 0 -1 0 0 -0.4999643 -0.866046 0 -1 0 0 -0.2588459 0.9659186 -1 0 0 0 -0.9659197 0.2588417 -1 0 0 0 -0.9659197 0.2588417 0 0.7071162 0.7070975 0 -0.2588459 0.9659186 0 0.9659202 -0.25884 0 0.7071162 0.7070975 0 0.258787 -0.9659345 0 0.9659202 -0.25884 0 -0.7070893 -0.7071243 0 0.258787 -0.9659345 -1 0 0 0 -0.7070893 -0.7071243 0 -0.866021 0.5000078 0 -0.8660378 -0.4999784 0 -0.8660378 -0.4999784 0 0 1 0 -0.866021 0.5000078 0 0.8660234 0.5000035 0 0 1 0 0.8660403 -0.4999742 0 0.8660234 0.5000035 0 0 -1 0 0.8660403 -0.4999742 0 0 -1 0 -0.9659255 -0.2588202 0 -0.2587954 -0.9659322 0 -0.2587954 -0.9659322 0 -0.7070871 0.7071266 0 -0.9659255 -0.2588202 0 0.2588291 0.9659231 0 -0.7070871 0.7071266 0 0.9659227 0.258831 0 0.2588291 0.9659231 0 0.707089 -0.7071245 0 0.9659227 0.258831 0 0.707089 -0.7071245 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6947416 0.1861746 0.6947468 0.6949822 -0.1861144 0.6945222 0.6947441 -0.1861566 0.6947492 0.7040156 0.4323534 0.5634117 0.6949799 0.1860977 0.6945291 -0.922352 0.3065207 0.2351844 1 0 0 0.6946728 0.6948191 0.1861615 0.6949781 0.5084283 0.508435 0.6948782 0.6946272 -0.1861112 0.6948763 0.6946253 0.1861255 0.7041941 0.563299 -0.4322093 1 0 0 0.694665 0.6948218 -0.1861801 -0.9222489 0.2353612 -0.3066955 0.6949337 0.1861239 -0.6945683 0.6945703 0.5087089 -0.5087114 1 0 0 0.6947259 -0.1861758 -0.6947622 0.694728 0.1861603 -0.6947642 0.7039769 -0.4323825 -0.5634375 0.6949316 -0.1861094 -0.6945742 -0.9223515 -0.3065218 -0.235185 1 0 0 0.6946629 -0.6948281 -0.186165 0.6949511 -0.5084489 -0.5084514 0.6948783 -0.6946273 0.1861101 0.694876 -0.694625 -0.1861273 0.7042168 -0.5632808 0.4321959 1 0 0 0.6946749 -0.6948132 0.1861758 -0.9222509 -0.2353551 0.306694 0.694606 -0.5086825 0.5086891 0.6947463 0.1861783 -0.6947411 0.694462 -0.1862494 -0.6950062 0.6947499 -0.1861515 -0.6947448 0.6947298 0.508601 -0.5086014 0.6948222 0.5085319 -0.5085445 0.6944584 0.1862244 -0.6950166 0.694522 0.6949501 -0.1862355 0.6947073 0.6947772 0.1861892 0.6947096 0.6947795 -0.1861717 0.694733 0.508595 0.5086032 0.694521 0.6949554 0.1862189 0.6944411 0.1862584 0.6950247 0.694807 0.5085396 0.5085574 0.6947244 -0.1861876 0.6947606 0.6947279 0.1861609 0.6947642 0.6947332 -0.508595 0.5086032 0.6944375 -0.1862335 0.695035 0.694807 -0.5085396 0.5085574 0.6945234 -0.6949487 0.1862351 0.6947073 -0.6947772 -0.1861892 0.6947097 -0.6947795 0.1861718 0.6947298 -0.508601 -0.5086014 0.6945196 -0.6949568 -0.1862192 0.6948222 -0.5085319 -0.5085445 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.2588539 0.9659165 -1.92249e-4 0.2588539 0.9659165 0 0.258818 0.9659261 1.79943e-5 -0.7071043 0.7071093 -1.9229e-4 -0.258818 0.9659261 3.31878e-5 -0.7071022 0.7071114 -1.46217e-4 -0.9659181 0.2588479 0 -0.9659174 -0.2588503 0 -0.9659254 0.2588207 1.79118e-5 -0.707108 -0.7071056 -1.46183e-4 -0.9659248 -0.2588231 -1.83614e-4 -0.2588517 -0.965917 3.95815e-5 -0.7071051 -0.7071085 0 0.2588517 -0.9659171 0 -0.2588174 -0.9659263 1.79942e-5 0.707108 -0.7071056 -1.83631e-4 0.2588174 -0.9659263 3.95116e-5 0.7071051 -0.7071085 -1.46216e-4 0.9659174 -0.2588503 0 0.9659181 0.2588479 0 0.9659248 -0.2588231 1.79135e-5 0.7071043 0.7071093 -1.46182e-4 0.9659254 0.2588207 3.32846e-5 0.7071022 0.7071114 -1 0 0 -0.9238727 0 -0.3826998 -1 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 -0.9238727 0 -0.3826998 -1 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0.1603781 -0.9680857 0.1925848 0 -1 0 0 -0.9937068 -0.1120125 -0.2116901 -0.9773368 0 0.1341131 -0.823965 0.5505409 -0.1989288 -0.8829814 0.4251716 0.08084863 -0.5538187 0.8287029 -0.1601338 -0.6154991 0.7716981 -0.1071015 -0.1940265 0.9751322 0 0.195149 0.9807736 0 -0.2225569 0.9749196 0.08084869 0.5538187 0.8287029 -0.09403342 0.2215708 0.9705998 0.1341131 0.823965 0.5505409 -0.1601338 0.6154991 0.7716981 0.1603781 0.9680857 0.1925848 -0.1989288 0.8829814 0.4251716 0 0.9749198 -0.2225562 0.05930089 0.9790623 -0.1947317 0.1603052 0.9681044 -0.1925522 -0.2116901 0.9773368 0 1 0 0 0 0.3090308 -0.9510521 1 0 0 1.21902e-4 -0.3090308 -0.951052 1 0 0 1 0 0 1 0 0 0 -0.3090694 -0.9510394 1 0 0 -1.66735e-4 0.809019 -0.5877825 1 0 0 1.21876e-4 0.3090694 -0.9510394 1 0 0 2.71415e-4 1 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.84684e-4 0.8089959 -0.5878142 1 0 0 -2.84674e-4 0.809016 0.5877866 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 2.71415e-4 1 0 1 0 0 9.76053e-5 0.3090347 0.9510508 1 0 0 -1.81774e-4 0.8089959 0.5878143 1 0 0 0 -0.3090347 0.9510508 1 0 0 1 0 0 1 0 0 0 0.3090655 0.9510407 1 0 0 -1.81748e-4 -0.809016 0.5877866 1 0 0 9.76396e-5 -0.3090655 0.9510407 1 0 0 2.71415e-4 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 -2.84684e-4 -0.8089959 0.5878142 1 0 0 -2.84669e-4 -0.8090189 -0.5877825 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 2.71415e-4 -1 0 1 0 0 -1.66734e-4 -0.8089959 -0.5878143 1 0 0 0.6786072 0.2810444 -0.6786062 1 0 0 0.6527242 -0.289881 -0.699943 1 0 0 0.6947495 -0.1861394 -0.6947484 1 0 0 0.6526151 0.6999971 -0.2899958 1 0 0 0.7179335 0.4922254 -0.4922252 0.6120541 0.20466 -0.7638744 1 0 0 0.6785232 0.6786458 0.2811517 0.6946803 0.6948057 -0.1861833 1 0 0 0.6527319 0.2898785 0.6999369 1 0 0 0.7179381 0.4922221 0.4922218 0.6118685 0.7640026 0.204737 1 0 0 0.6786049 -0.2810452 0.6786081 1 0 0 0.6947422 0.1861773 0.6947456 1 0 0 0.6526188 -0.6999937 0.2899958 1 0 0 0.6120818 -0.204694 0.7638431 0.7179381 -0.4922221 0.4922218 1 0 0 0.6785234 -0.6786459 -0.2811504 1 0 0 1 0 0 0.694679 -0.6948044 0.1861933 0.7179335 -0.4922254 -0.4922252 0.611861 -0.7640108 -0.2047279 1 0 0 0.6786042 0.678579 -0.2811176 1 0 0 0.652728 0.2899546 -0.6999089 1 0 0 1 0 0 1 0 0 0.6947492 0.3596316 -0.6228874 1 0 0 0.6526117 0.7000383 0.2899039 0.717929 0.6961163 0 0.6120553 0.6848608 -0.3954162 1 0 0 0.6785251 0.2810558 0.6786835 1 0 0 0.6946886 0.6229378 0.3596611 0.6527183 -0.2899557 0.6999175 1 0 0 0.7179249 0 0.6961206 0.6118343 0.3955031 0.6850081 0.6786091 -0.6785717 0.281123 0.6947439 -0.3596349 0.6228913 0.6526213 -0.7000302 -0.2899023 0.6120688 -0.6848533 0.3954083 0.7179379 -0.6961073 0 0.6785327 -0.2810674 -0.6786711 0.6946964 -0.6229305 -0.3596591 0.717938 0 -0.6961073 0.6118618 -0.3954854 -0.6849938 1 0 0 0.6786071 0.6786071 0.2810423 1 0 0 0.6527329 0.6999372 -0.2898755 1 0 0 0.6947446 0.6947446 -0.1861717 1 0 0 0.6526271 0.2899889 0.6999889 0.7179418 0.4922012 0.4922374 0.6120824 0.7638437 0.2046896 0.678525 -0.281148 0.6786454 0.6946777 0.1862109 0.694801 0.6527207 -0.6999465 0.2898803 0.7179344 -0.492206 0.4922432 0.61188 -0.2047434 0.7639915 0.6786057 -0.6786084 -0.2810426 0.6947482 -0.6947509 0.1861348 0.6526058 -0.2899971 -0.7000054 0.612048 -0.7638808 -0.2046545 0.7179295 -0.4922398 -0.4922166 0.6785252 0.281147 -0.6786457 0.6946871 -0.1861408 -0.6948104 0.7179368 0.4922351 -0.4922107 0.6118388 0.2046977 -0.7640368 1 0 0 0.678597 0.2811301 0.6785809 1 0 0 0.6527237 0.6999108 0.2899596 0.6947357 0.6229118 0.3596155 1 0 0 0.65263 -0.2899017 0.7000223 1 0 0 1 0 0 0.7179422 0 0.6961027 0.6120862 0.395366 0.6848622 0.6785356 -0.6786728 0.2810563 1 0 0 0.6946873 -0.3596261 0.6229596 0.6527342 -0.6999012 -0.2899595 0.7179378 -0.6961072 0 0.6118748 -0.6849979 0.3954582 0.6786003 -0.2811297 -0.6785777 0.6947424 -0.6229064 -0.3596119 1 0 0 0.6526238 0.2899002 -0.7000286 0.6120882 -0.3953699 -0.6848581 0.71794 0 -0.6961049 1 0 0 0.6785284 0.6786798 -0.2810568 0.694687 0.3596363 -0.6229541 1 0 0 0.717929 0.6961164 0 0.6118648 0.6850044 -0.3954623 1 0 0 0.6785897 -0.2810506 0.6786212 1 0 0 0.6527203 0.2898823 0.6999461 1 0 0 1 0 0 0.6947247 0.1861996 0.694757 1 0 0 0.6526126 -0.6999955 0.2900054 0.7179282 -0.4922106 0.4922478 0.6120773 -0.2047147 0.7638412 1 0 0 0.6785233 -0.6786459 -0.2811511 1 0 0 0.6946796 -0.6948051 0.1861883 1 0 0 0.6527203 -0.2898823 -0.6999461 1 0 0 0.7179334 -0.4922393 -0.4922112 0.6118647 -0.7640066 -0.2047324 0.678606 0.2810448 -0.6786072 1 0 0 0.6947495 -0.1861306 -0.6947507 0.6526169 0.6999954 -0.2899958 0.6120451 0.204652 -0.7638838 0.7179334 0.4922393 -0.4922112 1 0 0 0.6785215 0.6786441 0.2811596 0.6946796 0.6948051 -0.1861883 1 0 0 0.7179282 0.4922106 0.4922478 0.611859 0.764011 0.2047336 1 0 0 0.6785992 -0.6785815 0.2811233 1 0 0 0.6527294 -0.289964 0.6999037 1 0 0 0.6947319 -0.3596075 0.6229207 1 0 0 0.6526183 -0.7000339 -0.2899 0.717929 -0.6961164 0 0.6120752 -0.6848633 0.3953809 1 0 0 0.6785295 -0.2810583 -0.678678 0.694687 -0.6229525 -0.3596391 0.6527314 0.289964 -0.6999017 1 0 0 1 0 0 0.71794 0 -0.6961049 0.6118701 -0.3954575 -0.6850025 0.6786077 0.678573 -0.2811235 0.6947365 0.3596097 -0.6229143 0.6526271 0.700026 0.2898992 0.6120883 0.6848548 -0.3953756 0.7179378 0.6961072 0 0.6785311 0.2810612 0.6786752 0.6946925 0.6229482 0.359636 0.7179422 0 0.6961027 0.611886 0.3954403 0.6849983 1 0 0 0.6786073 -0.6786073 -0.2810418 1 0 0 0.6527331 -0.6999368 0.2898759 1 0 0 0.6947444 -0.6947444 0.1861729 1 0 0 0.6526104 -0.2899944 -0.7000021 0.7179368 -0.4922351 -0.4922107 0.612082 -0.7638445 -0.2046884 0.678525 0.281148 -0.6786454 1 0 0 1 0 0 0.6946858 -0.1861504 -0.6948091 0.6527205 0.6999468 -0.2898798 0.7179295 0.4922398 -0.4922166 0.6118301 0.2046892 -0.764046 0.6786056 0.6786083 0.2810432 0.6947484 0.6947511 -0.1861336 0.6526224 0.2899915 0.6999921 0.6120485 0.7638799 0.2046557 0.7179344 0.492206 0.4922432 0.6785252 -0.281147 0.6786457 0.694679 0.1862012 0.6948023 1 0 0 0.7179418 -0.4922012 0.4922374 0.6118887 -0.2047519 0.7639822 1 0 0 0.678609 -0.2811164 -0.6785747 1 0 0 0.6527215 -0.6999142 -0.2899562 0.6947467 -0.6228882 -0.3596352 0.6526221 0.2899113 -0.7000256 0.717938 0 -0.6961073 0.612062 -0.3954111 -0.6848577 0.6785359 0.6786721 -0.2810574 0.6946923 0.3596562 -0.6229367 0.6527299 0.6999045 0.2899609 0.7179379 0.6961073 0 0.6118525 0.6849969 -0.3954943 0.6786011 0.2811171 0.6785821 0.6947478 0.6228885 0.3596322 0.6526074 -0.2899014 0.7000434 0.6120525 0.3954155 0.6848638 0.7179249 0 0.6961206 0.6785273 -0.67868 0.2810589 0.6946884 -0.3596646 0.6229362 1 0 0 0.717929 -0.6961163 0 0.6118429 -0.6850045 0.3954961 1 0 0 0 1 0 1 0 0 0 0.9238756 -0.3826927 1 0 0 0 0.9238756 -0.3826927 1 0 0 0 0.8870207 0.4617296 0 1 0 1 0 0 0 0.130547 0.9914421 0 0.8870207 0.4617296 1 0 0 0 -0.7372938 0.6755723 1 0 0 1 0 0 0 0.130547 0.9914421 1 0 0 0 -0.9659249 0.2588223 1 0 0 0 -0.7372938 0.6755723 1 0 0 0 -0.9807602 -0.1952164 1 0 0 1 0 0 0 -0.9659249 0.2588223 1 0 0 0 -0.4423952 -0.8968201 1 0 0 0 -0.9807602 -0.1952164 1 0 0 0 0 -1 1 0 0 0 -0.4423952 -0.8968201 1 0 0 0 0.3826978 -0.9238736 1 0 0 0 0 -1 0 0.3826978 -0.9238736 1 0 0 0 0 -1 1 0 0 0 -0.3826978 -0.9238736 0 -0.3826978 -0.9238736 1 0 0 0 0.4423952 -0.8968201 1 0 0 1 0 0 0 0 -1 1 0 0 0 0.9807602 -0.1952164 1 0 0 0 0.4423952 -0.8968201 1 0 0 0 0.9659249 0.2588223 1 0 0 1 0 0 1 0 0 0 0.9807602 -0.1952164 1 0 0 0 0.7372938 0.6755723 1 0 0 0 0.9659249 0.2588223 1 0 0 0 -0.130547 0.9914421 0 0.7372938 0.6755723 1 0 0 0 -0.8870207 0.4617296 0 -0.130547 0.9914421 1 0 0 0 -1 0 1 0 0 0 -0.8870207 0.4617296 1 0 0 0 -0.9238756 -0.3826927 0 -1 0 0 -0.9238756 -0.3826927 0 -0.980767 -0.1951825 1 0 0 0 -0.9659261 0.2588183 1 0 0 0 -0.9659261 0.2588183 0 -0.4423822 -0.8968266 0 -0.980767 -0.1951825 1 0 0 0 0 -1 0 -0.4423822 -0.8968266 0 0.4423822 -0.8968266 0 0 -1 0 0.980767 -0.1951825 0 0.4423822 -0.8968266 1 0 0 0 0.9659261 0.2588183 1 0 0 1 0 0 0 0.980767 -0.1951825 1 0 0 0 0.7660588 0.6427705 1 0 0 0 0.9659261 0.2588183 1 0 0 0 0 1 0 0.7660588 0.6427705 1 0 0 0 -0.7660588 0.6427705 0 0 1 1 0 0 0 -0.7660588 0.6427705 0 -0.7660499 -0.6427813 0 -0.9659258 -0.2588192 0 -0.9659258 -0.2588192 0 0 -1 0 -0.7660499 -0.6427813 0 0.76605 -0.6427809 0 0 -1 0 0.9659258 -0.2588195 0 0.76605 -0.6427809 1 0 0 0 0.980767 0.1951822 0 0.9659258 -0.2588195 1 0 0 0 0.4423815 0.896827 0 0.980767 0.1951822 0 0 1 0 0.4423815 0.896827 1 0 0 0 -0.4423824 0.8968265 1 0 0 0 0 1 1 0 0 0 -0.980767 0.1951824 1 0 0 0 -0.4423824 0.8968265 1 0 0 0 -0.980767 0.1951824 0 -0.76605 -0.6427809 0 -0.9659258 -0.2588195 0 -0.9659258 -0.2588195 0 0 -1 0 -0.76605 -0.6427809 0 0.7660499 -0.6427813 0 0 -1 0 0.9659258 -0.2588192 0 0.7660499 -0.6427813 0 0.980767 0.1951824 0 0.9659258 -0.2588192 0 0.4423824 0.8968265 0 0.980767 0.1951824 0 0 1 0 0.4423824 0.8968265 0 -0.4423815 0.896827 0 0 1 0 -0.980767 0.1951822 0 -0.4423815 0.896827 0 -0.980767 0.1951822 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.08895564 0.7786902 -0.6210704 -0.04462885 0.8306638 -0.5549829 0.1109946 0.4311569 -0.8954238 -0.07426822 0.5540835 -0.8291415 0.1182962 0 -0.9929784 -0.08900487 0.1943356 -0.9768888 0.07661753 -0.4325624 -0.8983427 0 -0.1120145 -0.9937065 -0.07659077 -0.2219038 -0.9720558 0.07659447 -0.7794929 -0.6217106 -0.07660359 -0.6217129 -0.7794902 0.07659131 -0.972056 -0.2219025 -0.07662105 -0.898341 -0.4325653 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.3826978 0 -0.9238736 0 0 -1 -0.3826978 0 -0.9238736 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 0 0 -1 -1 0 0 -1 0 0 -1 0 0 0 0 -1 0 0 1 0 0 1 0.134078 0.8239845 -0.5505203 -0.1989567 0.8829773 -0.4251674 0.0808565 0.5537987 -0.8287155 -0.1601913 0.6154927 -0.7716914 -0.107254 0.1939845 -0.9751238 0 0.2225575 -0.9749196 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 1 0 0 0 -1 0 0 -1 -1 0 0 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7070646 0.7071489 -0.2810733 0.6785602 0.6786411 0 0.7070646 0.7071489 -0.6785916 0.2810758 0.6786088 -0.2810726 0.678566 0.6786358 -0.7071068 0 0.7071068 -0.6785983 0.2810848 0.6785983 -0.6785995 -0.2810791 0.6785995 -0.7071068 0 0.7071068 -0.281075 -0.6785643 0.6786364 -0.6785884 -0.2810806 0.67861 0 -0.7070646 0.7071489 -0.2810705 -0.6785609 0.6786417 -1 0 0 0 -0.7070646 0.7071489 0 -1 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0.8658986 -0.5002196 0 0.8658987 0.5002194 0 0.8658987 0.5002194 0 0 -1 0 0.8658986 -0.5002196 0 -0.8658975 -0.5002213 0 0 -1 0 -0.8658977 0.500221 0 -0.8658975 -0.5002213 0 0 0 -1 0 1 0 -0.8658977 0.500221 0 0 0 -1 0 1 0 0.8658896 -0.500235 0 0 0 -1 0.865899 0.5002189 0 0.865899 0.5002189 0 0 -1 0 0.8658896 -0.500235 0 -0.8658887 -0.5002367 0 0 -1 0 -0.865898 0.5002205 0 -0.8658887 -0.5002367 0 0 1 0 -0.865898 0.5002205 0 0 0 -1 0 1 0 0.865899 -0.5002189 0 0 0 -1 0.8658896 0.500235 0 0 0 -1 0.8658896 0.500235 0 0 -1 0 0.865899 -0.5002189 0 -0.865898 -0.5002205 0 0 -1 0 -0.8658887 0.5002367 0 -0.865898 -0.5002205 0 0 1 0 -0.8658887 0.5002367 0 0 0 -1 0 1 0 0.8658987 -0.5002194 0 0.8658986 0.5002196 0 0.8658986 0.5002196 0 0 -1 0 0.8658987 -0.5002194 0 -0.8658977 -0.500221 0 0 -1 0 -0.8658975 0.5002213 0 -0.8658977 -0.500221 0 0 1 0 -0.8658975 0.5002213 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 -0.9238795 -0.3826836 0 -0.9238795 -0.3826836 0 -0.9238795 0.3826836 0 -1 0 0 -0.382685 0.9238788 0 -0.9238795 0.3826836 0 -0.382685 0.9238788 0 -0.382685 -0.9238788 0 -0.382685 -0.9238788 0 -1 0 0 0 -0.9659324 -0.2587943 -1 0 0 6.31576e-5 -0.9659328 0.2587931 -1 0 0 -1 0 0 0 -0.9659268 0.2588152 -1 0 0 1.86288e-5 -0.7933411 -0.6087774 -1 0 0 -1 0 0 -1 0 0 6.40062e-5 -0.9659265 -0.2588167 -1 0 0 0.3383595 -0.5728378 -0.746572 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.66152e-4 -0.2588458 -0.9659186 -1 0 0 -1 0 0 1.21759e-4 -0.7071081 -0.7071055 -1 0 0 -7.96225e-5 0.2588458 -0.9659186 -1 0 0 -7.9619e-5 -0.2588155 -0.9659268 -1 0 0 4.98007e-5 0.6087434 -0.7933673 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.66177e-4 0.2588155 -0.9659268 -1 0 0 0.3382275 0.746585 -0.5728988 -1 0 0 -1 0 0 -1 0 0 6.3978e-5 0.9659324 -0.2587943 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 2.51172e-6 0.7071081 -0.7071055 -1 0 0 0 0.9659328 0.2587931 -1 0 0 -1 0 0 0 0.9659265 -0.2588167 -1 0 0 1.66987e-5 0.7933411 0.6087774 -1 0 0 -1 0 0 -1 0 0 6.31684e-5 0.9659268 0.2588152 -1 0 0 0.3383544 0.5728409 0.7465719 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.60031e-4 0.2588383 0.9659207 -1 0 0 -1 0 0 1.26304e-4 0.7071072 0.7071064 -1 0 0 -9.6466e-5 -0.2588383 0.9659207 -1 0 0 -9.6428e-5 0.258816 0.9659267 -1 0 0 5.48329e-5 -0.6087455 0.7933655 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1.60016e-4 -0.258816 0.9659267 -1 0 0 0.3382283 -0.7465848 0.5728986 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 2.39212e-7 -0.7071072 0.7071064 0 -0.5002294 -0.8658929 4.9943e-5 0.5002294 -0.8658929 0.04762923 0.7063043 -0.7063043 0 0.258796 -0.965932 -5.14742e-6 -1 0 0.0476883 -0.2585016 -0.964833 3.92454e-5 -0.7071068 -0.7071067 4.66259e-5 -0.5002346 0.8658899 0.04761189 -0.9648267 -0.2585395 9.73613e-6 -0.9659185 0.2588464 0 0.5002346 0.8658899 0 -0.2588461 0.9659187 0.0476256 -0.7063044 0.7063044 -5.14742e-6 1 0 0.04768031 0.2585516 0.96482 3.65363e-5 0.7071068 0.7071067 0.04761332 0.964823 0.2585529 1.07269e-5 0.9659221 -0.258833 0 0.2585788 -0.9659901 4.59714e-5 0.9659894 -0.2585818 0.04762977 0.9988651 0 0 0.866019 -0.5000111 -1 0 0 -7.90048e-6 -0.7071092 -0.7071045 -1 0 0 0.04768377 0.499439 -0.8650358 3.51142e-5 0 -1 -1 0 0 4.64891e-5 -0.9659904 0.2585778 0.04760617 -0.4994369 -0.8650414 8.50394e-6 -0.8660194 -0.5000106 -1 0 0 0 -0.2585858 0.9659883 -1 0 0 0 -0.866021 0.5000076 0.04762971 -0.9988651 0 -3.1589e-6 0.7070907 0.7071228 0.04768145 -0.4994401 0.8650353 3.57526e-5 0 1 0.04760426 0.499446 0.8650363 7.10772e-6 0.8660206 0.5000082 0 0.8659057 -0.5002074 4.40818e-5 0.8658936 0.5002285 0.04763036 0.7062783 0.7063302 0 0.96592 0.2588407 -8.29971e-6 0 -1 0.04767805 0.964822 -0.2585447 3.35244e-5 0.7071244 -0.7070892 -1 0 0 4.47744e-5 -0.8659158 -0.5001899 -1 0 0 0.04760092 0.2584959 -0.9648389 6.60431e-6 -0.2587763 -0.9659373 -1 0 0 0 -0.8659036 0.5002109 -1 0 0 0 -0.9659343 -0.2587875 0.04762953 -0.706321 -0.7062875 -1 0 0 -8.29971e-6 0 1 0.04768538 -0.9648351 0.2584948 3.40823e-5 -0.70708 0.7071336 -1 0 0 0.04761362 -0.2585638 0.96482 6.40316e-6 0.2588704 0.9659121 0 0.9659897 0.2585809 4.5271e-5 0.2585529 0.965997 0.04762327 0 0.9988654 0 0.4999626 0.866047 -1.12878e-5 0.7070872 -0.7071263 0.04767739 0.8650542 0.4994078 3.51142e-5 1 0 -1 0 0 4.37033e-5 -0.2585664 -0.9659935 0.04761445 0.8650568 -0.4994093 9.74724e-6 0.4999727 -0.8660413 -1 0 0 0 -0.9659909 -0.258576 -1 0 0 0 -0.4999686 -0.8660435 0.04762452 0 -0.9988653 -1 0 0 -1.06659e-5 -0.7071005 0.7071132 -1 0 0 0.04767811 -0.8650546 -0.4994071 3.5992e-5 -1 0 0.04761064 -0.8650573 0.4994087 6.71845e-6 -0.4999585 0.8660492 0 0.5002372 0.8658885 4.93899e-5 -0.5002372 0.8658885 0.04762071 -0.7062779 0.7063313 0 -0.258871 0.9659119 -5.14742e-6 1 0 0.04767638 0.2585766 0.9648135 3.88005e-5 0.7070801 0.7071336 4.16517e-5 0.5002008 -0.8659094 0.04761457 0.9648247 0.2585461 8.24781e-6 0.9659203 -0.2588397 0 -0.5002008 -0.8659094 0 0.2587835 -0.9659354 0.04763245 0.7063243 -0.7062841 -5.14742e-6 -1 0 0.04768383 -0.2584892 -0.9648366 3.24738e-5 -0.7071269 -0.7070866 0.04761224 -0.9648249 -0.2585462 1.05631e-5 -0.9659203 0.2588397 0 -0.2585529 0.965997 4.7127e-5 -0.9659897 0.2585809 0.04762977 -0.9988651 0 0 -0.8660391 0.4999763 -1 0 0 -8.35122e-6 0.7071005 0.7071132 -1 0 0 0.04767894 -0.499394 0.8650621 3.44757e-5 0 1 -1 0 0 4.79748e-5 0.9659909 -0.258576 0.04761207 0.4993916 0.8650671 5.63243e-6 0.8660395 0.4999757 -1 0 0 0 0.2585664 -0.9659935 -1 0 0 0 0.8660395 -0.4999757 0.04762971 0.9988651 0 -4.06154e-6 -0.7070872 -0.7071263 0.0476765 0.4994 -0.8650587 3.44757e-5 0 -1 0.04761028 -0.4994056 -0.8650591 4.87531e-6 -0.8660391 -0.4999763 0 -0.8658936 0.5002285 4.40827e-5 -0.8659057 -0.5002074 0.04762578 -0.706322 -0.7062869 0 -0.9659205 -0.258839 -8.29971e-6 0 1 0.04768007 -0.9648215 0.2585463 3.35177e-5 -0.7070809 0.7071328 -1 0 0 4.47736e-5 0.8659036 0.5002109 -1 0 0 0.04761582 -0.2585768 0.9648165 6.60854e-6 0.2588574 0.9659155 -1 0 0 0 0.8659158 -0.5001899 -1 0 0 0 0.9659339 0.2587892 0.04763418 0.7062774 0.7063309 -1 0 0 -8.29971e-6 0 -1 0.04768335 0.9648355 -0.2584931 3.40846e-5 0.7071236 -0.7070901 -1 0 0 0.04759871 0.2584829 -0.9648424 6.39893e-6 -0.2587892 -0.9659338 0 -0.9659894 -0.2585818 4.58887e-5 -0.2585788 -0.9659901 0.04762899 0 -0.9988651 0 -0.5000078 -0.8660209 -8.12732e-6 -0.7070907 0.7071228 0.04768419 -0.8650338 -0.4994423 3.51142e-5 -1 0 -1 0 0 4.49374e-5 0.2585858 0.9659883 0.0476095 -0.8650385 0.4994412 1.08499e-5 -0.5000128 0.8660179 -1 0 0 0 0.9659904 0.2585778 -1 0 0 0 0.5000088 0.8660203 0.04762959 0 0.998865 -1 0 0 -6.60219e-6 0.7071092 -0.7071045 -1 0 0 0.04768401 0.8650359 0.4994388 3.5992e-5 1 0 0.04760479 0.8650375 -0.4994436 7.26534e-6 0.5000038 -0.8660233 0 0.1564571 0.9876847 -2.00472e-5 -0.1564571 0.9876847 0 -0.1564909 0.9876794 -2.11084e-6 0.4540613 0.8909705 -2.00411e-5 0.1564909 0.9876794 -3.33702e-5 0.7071655 0.7070481 -1.70869e-5 0.4540841 0.8909587 -4.6927e-5 0.891038 0.4539287 1.56798e-5 0.7071061 0.7071074 -2.06783e-5 0.9876906 0.1564204 5.28577e-5 0.8909606 0.4540807 2.71577e-5 0.9876911 -0.1564175 2.71573e-5 0.9876778 0.1565011 4.83091e-5 0.891038 -0.4539287 -2.22139e-5 0.9876778 -0.1565009 1.51635e-5 0.7071576 -0.707056 -4.72173e-5 0.8909639 -0.4540743 -1.01314e-5 0.4540662 -0.890968 -2.78469e-5 0.7071056 -0.707108 -2.00466e-5 0.1564677 -0.987683 -2.10972e-6 0.4540784 -0.8909618 0 -0.1564677 -0.987683 0 0.1565016 -0.9876778 -2.11052e-6 -0.4540662 -0.890968 -2.00447e-5 -0.1565016 -0.9876778 -2.78508e-5 -0.7071576 -0.707056 -1.01323e-5 -0.4540784 -0.8909618 -4.72491e-5 -0.891038 -0.4539287 1.51782e-5 -0.7071055 -0.707108 -2.22329e-5 -0.9876911 -0.1564175 4.83452e-5 -0.8909639 -0.4540743 2.71577e-5 -0.9876906 0.1564204 2.71573e-5 -0.9876778 -0.1565009 5.28185e-5 -0.891038 0.4539287 -2.06592e-5 -0.9876778 0.1565011 1.5663e-5 -0.7071655 0.7070481 -4.68937e-5 -0.8909606 0.4540807 -1.70855e-5 -0.4540613 0.8909705 -3.33662e-5 -0.7071062 0.7071074 -2.10934e-6 -0.4540841 0.8909587 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9203652 0.08702099 0.3812548 1 0 0 0.6980968 -0.1593294 0.6980509 1 0 0 0.9186989 -0.1056554 0.3805645 1 0 0 0.7048657 0.3773894 0.6006176 1 0 0 0.3729231 0.2242069 0.9003664 0.6980961 0.1593254 0.6980525 1 0 0 -0.9167561 0.2824535 0.2824505 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6980691 0.6451205 0.3106753 1 0 0 1 0 0 1 0 0 0.698059 0.4464439 0.5598228 0.6980935 0.7160066 0 0.6980707 0.6451191 0.3106747 1 0 0 0.6980706 0.6451188 -0.3106755 1 0 0 0.6980935 0.7160066 0 1 0 0 0.7048951 0.5015617 -0.5015562 1 0 0 1 0 0 1 0 0 0.6980904 0.6451019 -0.310666 1 0 0 -0.9167473 0.2125278 -0.33824 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6980594 0.1593378 -0.6980863 1 0 0 0.6980263 0.44646 -0.5598507 1 0 0 0.9203593 -0.08702433 -0.3812684 1 0 0 0.9186928 0.1056594 -0.3805781 1 0 0 0.7048342 -0.3774055 -0.6006444 1 0 0 0.6980594 -0.1593375 -0.6980864 0.3730206 -0.2241958 -0.9003288 1 0 0 -0.9167614 -0.2824448 -0.2824418 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6980904 -0.6451012 -0.310667 1 0 0 1 0 0 1 0 0 0.6980969 -0.4464171 -0.5597969 0.6980935 -0.7160066 0 0.6980707 -0.6451192 -0.3106743 1 0 0 0.6980707 -0.645119 0.3106746 1 0 0 0.6980935 -0.7160066 0 1 0 0 0.7048614 -0.5015855 0.5015801 1 0 0 1 0 0 1 0 0 0.6980691 -0.6451205 0.3106754 1 0 0 -0.9167538 -0.2125203 0.3382274 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6980556 -0.4464458 0.5598253 0 0.2225174 -0.9749288 0 -0.2225174 -0.9749288 0 -0.2225174 -0.9749288 1 0 0 0 0.6234893 -0.7818319 1 0 0 0 0.2225174 -0.9749288 0 0.9009696 -0.4338822 1 0 0 1 0 0 1 0 0 0 0.6234893 -0.7818319 0 1 0 0 0.9009696 -0.4338822 1 0 0 0 0.9009695 0.4338827 1 0 0 0 1 0 0 0.6234846 0.7818356 1 0 0 1 0 0 1 0 0 0 0.9009695 0.4338827 0 0.2225235 0.9749274 0 0.6234846 0.7818356 0 -0.2225235 0.9749274 0 0.2225235 0.9749274 1 0 0 0 -0.6234846 0.7818356 1 0 0 0 -0.2225235 0.9749274 0 -0.9009695 0.4338827 1 0 0 1 0 0 1 0 0 0 -0.6234846 0.7818356 0 -1 0 0 -0.9009695 0.4338827 1 0 0 0 -0.9009696 -0.4338822 1 0 0 0 -1 0 0 -0.6234893 -0.7818319 1 0 0 1 0 0 1 0 0 0 -0.9009696 -0.4338822 0 -0.6234893 -0.7818319 0 -0.3826128 0.9239088 9.06988e-5 0.3826141 0.9239083 0 0.3827235 0.9238629 -4.22721e-4 -0.9238263 0.3828116 8.55446e-5 -0.3827162 0.923866 -3.1711e-4 -0.9238142 -0.3828411 -3.17133e-4 -0.9238792 0.3826842 9.54519e-5 -0.3826009 -0.9239137 -4.18702e-4 -0.9238649 -0.3827186 0 0.3826022 -0.9239131 0 -0.3827162 -0.923866 -4.06337e-4 0.9238141 -0.3828411 1.00453e-4 0.3827236 -0.9238629 -3.04823e-4 0.9238264 0.3828117 -3.04836e-4 0.923865 -0.3827186 -4.10504e-4 0.9238791 0.3826841 0 -0.3826128 0.9239088 3.16955e-5 0.3826141 0.9239083 0 0.3826523 0.9238924 -4.4715e-4 -0.923812 0.382846 2.65831e-5 -0.382645 0.9238955 -3.1711e-4 -0.9238121 -0.3828461 -3.17132e-4 -0.9238772 0.3826891 1.6428e-4 -0.3826128 -0.9239088 -3.90161e-4 -0.9238486 -0.3827579 0 0.3826141 -0.9239083 0 -0.3828111 -0.9238266 -3.7781e-4 0.9238121 -0.3828461 1.69214e-4 0.3828185 -0.9238236 -3.04819e-4 0.9238121 0.3828461 -3.04831e-4 0.9238487 -0.382758 -4.34941e-4 0.9238771 0.3826891 0 -0.3826141 0.9239083 2.66058e-5 0.3826128 0.9239088 0 0.382645 0.9238955 -4.34859e-4 -0.923812 0.382846 3.16806e-5 -0.3826523 0.9238924 -3.04819e-4 -0.9238121 -0.3828461 -3.0484e-4 -0.9238772 0.3826891 1.6937e-4 -0.3826141 -0.9239083 -3.77869e-4 -0.9238487 -0.382758 0 0.3826128 -0.9239088 0 -0.3828185 -0.9238236 -3.90101e-4 0.923812 -0.382846 1.64127e-4 0.3828111 -0.9238266 -3.1711e-4 0.9238121 0.3828461 -3.17122e-4 0.9238487 -0.382758 -4.47233e-4 0.9238771 0.3826891 0 -0.3826141 0.9239083 8.56092e-5 0.3826128 0.9239088 0 0.3827162 0.923866 -4.1043e-4 -0.9238263 0.3828116 9.0624e-5 -0.3827235 0.9238629 -3.04819e-4 -0.9238142 -0.3828411 -3.04841e-4 -0.9238792 0.3826842 1.00541e-4 -0.3826022 -0.9239131 -4.0641e-4 -0.9238649 -0.3827186 0 0.3826009 -0.9239137 0 -0.3827235 -0.9238629 -4.18629e-4 0.9238141 -0.3828411 9.53662e-5 0.3827162 -0.923866 -3.17115e-4 0.9238264 0.3828117 -3.17128e-4 0.923865 -0.3827186 -4.22796e-4 0.9238791 0.3826841 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.2225193 0.9749283 0 0.2225193 0.9749283 0 0.2225193 0.9749283 0 -0.6234899 0.7818315 0 -0.2225193 0.9749283 0 -0.9009699 0.4338815 0 -0.6234899 0.7818315 0 -1 0 0 -0.9009699 0.4338815 0 -0.9009689 -0.4338838 0 -1 0 0 -0.6234881 -0.7818329 0 -0.9009689 -0.4338838 0 -0.2225238 -0.9749274 0 -0.6234881 -0.7818329 0 0.2225238 -0.9749274 0 -0.2225238 -0.9749274 0 0.6234881 -0.7818329 0 0.2225238 -0.9749274 0 0.9009689 -0.4338838 0 0.6234881 -0.7818329 0 1 0 0 0.9009689 -0.4338838 0 0.9009699 0.4338815 0 1 0 0 0.6234899 0.7818315 0 0.9009699 0.4338815 0 0.6234899 0.7818315 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9190743 0.101997 -0.3806559 0.6947395 -0.1861594 -0.6947529 0.9208856 -0.0806176 -0.3814061 0.6947302 0.5085991 -0.5086029 0.3731105 0.2207567 -0.901141 0.69474 0.1861613 -0.6947519 0.694754 0.6947399 -0.1861541 0.6947671 0.5085757 -0.5085757 0.6947466 0.6947466 0.1861566 0.6947467 0.6947466 -0.1861565 0.6947432 0.5085899 0.5085945 0.6947454 0.6947477 0.1861569 0.6947184 0.186167 0.694772 0.6947142 0.5086111 0.5086127 0.9190863 -0.101991 0.3806288 0.9208976 0.0806092 0.381379 0.6947147 -0.5086094 0.508614 0.3731266 -0.2207564 0.9011344 0.6947182 -0.1861656 0.6947726 0.6947454 -0.6947477 0.1861569 0.6947435 -0.5085911 0.5085927 0.6947467 -0.6947467 -0.1861559 0.6947467 -0.6947466 0.1861566 0.6947668 -0.5085741 -0.508578 0.694754 -0.6947398 -0.1861546 0.6947299 -0.5086012 -0.5086012 0.3713377 -0.2403167 -0.8968592 0 0.2588231 -0.9659247 0 -0.2588231 -0.9659247 0 -0.2588231 -0.9659247 0 0.7071068 -0.7071067 0 0.2588231 -0.9659247 0 0.9659259 -0.2588186 0 0.7071068 -0.7071067 0 0.9659259 0.2588188 0 0.9659259 -0.2588186 0 0.7071057 0.7071079 0 0.9659259 0.2588188 0.3713541 0.2403135 0.8968532 0 0.2588215 0.9659252 0 0.7071057 0.7071079 0 0.2588215 0.9659252 0 -0.2588215 0.9659252 -0.3713477 0.2403156 -0.8968551 -0.3731206 -0.2207562 -0.9011368 -0.69474 -0.1861613 -0.6947519 -0.6947299 0.5086013 -0.5086012 -0.9208747 0.08062559 -0.3814306 -0.6947395 0.1861594 -0.694753 -0.6947541 0.6947398 -0.1861546 -0.6947665 0.5085743 -0.5085781 -0.6947467 0.6947467 0.1861566 -0.6947466 0.6947469 -0.186156 -0.6947435 0.5085911 0.5085928 -0.6947455 0.6947476 0.1861569 -0.6947183 0.1861656 0.6947726 -0.6947147 0.5086093 0.508614 -0.3731367 0.2207558 0.9011303 -0.3713642 -0.2403124 0.8968492 0 -0.2588215 0.9659252 -0.9190634 -0.1020035 -0.3806804 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9190754 0.1019976 0.3806533 -1 0 0 -1 0 0 -0.9208867 -0.08061724 0.3814035 -1 0 0 -0.6947184 -0.186167 0.694772 -1 0 0 -1 0 0 -0.6947302 -0.5085991 -0.5086029 -1 0 0 -1 0 0 -0.694754 -0.6947399 -0.1861541 -0.6947671 -0.5085759 -0.5085757 -1 0 0 -0.6947466 -0.6947466 0.1861566 -1 0 0 -1 0 0 -0.6947466 -0.6947466 -0.1861565 -1 0 0 -0.6947432 -0.5085899 0.5085945 -1 0 0 -0.6947454 -0.6947478 0.1861569 -1 0 0 -0.6947144 -0.508611 0.5086126 0 -0.2225193 0.9749283 0 0.2225193 0.9749283 0 0.2225193 0.9749283 0 -0.6234898 0.7818315 0 -0.2225193 0.9749283 -1 0 0 0 -0.90097 0.4338815 0 -0.6234898 0.7818315 0 -1 0 0 -0.90097 0.4338815 0 -0.9009688 -0.4338837 0 -1 0 0 -0.6234881 -0.7818329 0 -0.9009688 -0.4338837 0 -0.2225238 -0.9749273 0 -0.6234881 -0.7818329 0 0.2225238 -0.9749273 0 -0.2225238 -0.9749273 0 0.6234881 -0.7818329 0 0.2225238 -0.9749273 -1 0 0 0 0.9009688 -0.4338837 0 0.6234881 -0.7818329 0 1 0 0 0.9009688 -0.4338837 0 0.90097 0.4338815 0 1 0 0 0.6234898 0.7818315 0 0.90097 0.4338815 0 0.6234898 0.7818315 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.2225174 -0.9749287 0 -0.2225174 -0.9749287 0 -0.2225174 -0.9749287 0 0.6234893 -0.7818319 0 0.2225174 -0.9749287 0 0.9009696 -0.4338822 0 0.6234893 -0.7818319 0 1 0 0 0.9009696 -0.4338822 0 0.9009693 0.4338827 0 1 0 0 0.6234847 0.7818356 0 0.9009693 0.4338827 0 0.2225235 0.9749274 0 0.6234847 0.7818356 0 -0.2225235 0.9749274 0 0.2225235 0.9749274 0 -0.6234847 0.7818356 0 -0.2225235 0.9749274 0 -0.9009693 0.4338827 0 -0.6234847 0.7818356 0 -1 0 0 -0.9009693 0.4338827 0 -0.9009696 -0.4338822 0 -1 0 0 -0.6234893 -0.7818319 0 -0.9009696 -0.4338822 0 -0.6234893 -0.7818319 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9203544 -0.08702665 0.3812794 -0.6980968 0.1593294 0.6980509 -0.9186882 0.1056598 0.3805891 -0.7048657 -0.3773894 0.6006176 -0.3729329 -0.2242056 0.9003627 -0.6980961 -0.1593254 0.6980525 -1 0 0 0.9167561 -0.2824535 0.2824505 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6980691 -0.6451205 0.3106753 -1 0 0 -0.698059 -0.4464439 0.5598228 -0.6980935 -0.7160066 0 -0.6980709 -0.6451189 0.3106746 -0.6980706 -0.6451188 -0.3106755 -0.6980935 -0.7160066 0 -1 0 0 -0.7048951 -0.5015617 -0.5015562 -1 0 0 -0.6980903 -0.6451019 -0.3106659 0.9167473 -0.2125278 -0.33824 -1 0 0 -1 0 0 -1 0 0 -0.6980594 -0.1593378 -0.6980863 -0.6980264 -0.44646 -0.5598507 -0.9203486 0.08702993 -0.3812931 -0.9186821 -0.1056638 -0.3806027 -0.7048342 0.3774055 -0.6006444 -0.3730308 0.2241945 -0.9003249 -0.6980594 0.1593375 -0.6980864 -1 0 0 0.9167614 0.2824448 -0.2824418 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6980904 0.6451012 -0.310667 -1 0 0 -0.6980969 0.446417 -0.5597969 -0.6980935 0.7160066 0 -0.6980707 0.6451192 -0.3106743 -0.6980707 0.645119 0.3106746 -0.6980935 0.7160066 0 -1 0 0 -0.7048614 0.5015855 0.5015801 -1 0 0 -0.698069 0.6451205 0.3106754 0.9167538 0.2125203 0.3382274 -1 0 0 -1 0 0 -1 0 0 -0.6980556 0.4464458 0.5598253 0 0.382614 0.9239082 -8.56096e-5 -0.3826128 0.9239088 0 -0.3827161 0.9238659 4.10432e-4 0.9238263 0.3828116 -9.06245e-5 0.3827235 0.9238629 3.04821e-4 0.9238142 -0.3828411 3.04842e-4 0.9238792 0.3826842 -1.00542e-4 0.3826022 -0.9239132 4.06412e-4 0.9238649 -0.3827185 0 -0.382601 -0.9239137 0 0.3827235 -0.9238629 4.18631e-4 -0.9238141 -0.3828411 -9.53666e-5 -0.3827162 -0.9238659 3.17116e-4 -0.9238263 0.3828116 3.1713e-4 -0.923865 -0.3827186 4.22798e-4 -0.9238791 0.3826841 0 0.382614 0.9239082 -2.6606e-5 -0.3826128 0.9239088 0 -0.382645 0.9238955 4.34861e-4 0.9238121 0.3828461 -3.16808e-5 0.3826524 0.9238925 3.0482e-4 0.9238121 -0.3828461 3.04842e-4 0.9238771 0.3826891 -1.69371e-4 0.382614 -0.9239082 3.77871e-4 0.9238486 -0.3827579 0 -0.3826128 -0.9239088 0 0.3828185 -0.9238235 3.90103e-4 -0.9238121 -0.3828461 -1.64127e-4 -0.3828111 -0.9238266 3.17111e-4 -0.9238121 0.3828461 3.17124e-4 -0.9238486 -0.382758 4.47235e-4 -0.9238771 0.3826891 0 0.3826128 0.9239088 -3.16957e-5 -0.382614 0.9239082 0 -0.3826524 0.9238925 4.47153e-4 0.9238121 0.3828461 -2.65833e-5 0.382645 0.9238955 3.17111e-4 0.9238121 -0.3828461 3.17134e-4 0.9238771 0.3826891 -1.64281e-4 0.3826128 -0.9239088 3.90163e-4 0.9238485 -0.3827579 0 -0.382614 -0.9239082 0 0.3828111 -0.9238266 3.77812e-4 -0.9238121 -0.3828461 -1.69215e-4 -0.3828185 -0.9238235 3.0482e-4 -0.9238121 0.3828461 3.04832e-4 -0.9238486 -0.382758 4.34943e-4 -0.9238771 0.3826891 0 0.3826128 0.9239088 -9.06993e-5 -0.382614 0.9239082 0 -0.3827235 0.9238629 4.22723e-4 0.9238263 0.3828116 -8.5545e-5 0.3827161 0.9238659 3.17112e-4 0.9238142 -0.3828411 3.17134e-4 0.9238792 0.3826842 -9.54524e-5 0.382601 -0.9239137 4.18704e-4 0.9238649 -0.3827185 0 -0.3826022 -0.9239132 0 0.3827161 -0.9238659 4.0634e-4 -0.9238141 -0.3828411 -1.00453e-4 -0.3827236 -0.9238629 3.04825e-4 -0.9238263 0.3828116 3.04838e-4 -0.923865 -0.3827186 4.10506e-4 -0.9238791 0.3826841 -0.3744407 0.2063322 0.9040029 0 -0.2225203 0.974928 0 0.2225203 0.974928 0 0.2225203 0.974928 0 -0.6234899 0.7818314 0 -0.2225203 0.974928 0 -0.9009679 0.4338857 0 -0.6234899 0.7818314 0 -1 0 0 -0.9009679 0.4338857 0 -0.9009683 -0.4338852 0 -1 0 0 -0.6234846 -0.7818356 0 -0.9009683 -0.4338852 -0.3745385 -0.2063287 -0.9039632 0 -0.2225261 -0.9749268 0 -0.6234846 -0.7818356 0 -0.2225261 -0.9749268 0 0.2225261 -0.9749268 0.363272 -0.2073184 0.908324 0.3713306 0.007082641 0.9284737 0.05233561 0.2222154 0.973592 0.355834 0.02138823 0.9343044 -0.1597281 0.232037 0.9595029 -0.3530745 -0.5833342 0.7314777 -0.99122 -0.00100857 0.1322189 -0.9898575 -0.003251254 0.1420264 0.3622765 -0.2211481 0.9054552 0.3622766 -0.2211481 0.9054552 0.04360222 -0.2173459 0.9751203 0.5593523 -0.4657865 0.685688 -0.5146329 -0.7724994 0.3720182 0.7086657 -0.5836226 0.3964562 -0.8524163 -0.5228637 0 0.7472903 -0.6485827 0.1445594 0.368862 -0.9219577 0.1180454 -0.514612 -0.772511 -0.3720232 -0.889539 -0.4568064 0.006943047 -0.8115764 -0.5841788 -0.008879065 0.368862 -0.9219577 -0.1180454 0.3691132 -0.9218554 -0.1180599 0.7472926 -0.6485803 -0.1445595 -0.3530345 -0.5833386 -0.7314934 0.7086855 -0.5836061 -0.3964453 0.05219209 -0.2222228 -0.9735979 0.5592826 -0.4658167 -0.6857243 -0.1598437 -0.2320368 -0.9594837 0.3559258 -0.02130395 -0.9342713 0.3713605 -0.007054865 -0.928462 0.363301 0.2073212 -0.9083117 0 0.2225261 -0.9749268 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 1 0 -0.3638609 -0.2026371 0.9091444 -0.3636903 -0.2026547 0.9092087 0 1 0 -0.5593577 -0.4657844 0.685685 0.1597277 -0.2320368 0.9595031 -0.05233627 -0.2222153 0.973592 -0.7086707 -0.5836185 0.3964534 0.3530788 -0.5833332 0.7314765 -0.747295 -0.6485777 0.1445583 0.5146382 -0.7724966 0.3720169 0.3691132 -0.9218554 0.1180599 0 0 -1 -0.3690364 -0.9218872 0.118052 0 0 -1 0 0 -1 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 1 -0.7472972 -0.6485753 -0.1445584 -0.3689567 -0.9219196 -0.1180474 -0.3690365 -0.9218872 -0.118052 0 0 1 -0.7086904 -0.583602 -0.3964425 0.5146173 -0.7725081 -0.3720218 -0.559288 -0.4658147 -0.6857213 0.3530389 -0.5833376 -0.7314922 0.3639727 -0.2026237 -0.9091026 -0.0434426 -0.2173439 -0.9751278 0.3637669 -0.202645 -0.9091802 0 1 0 -0.3622006 -0.2211551 -0.905484 0 1 0 0 1 0 1 0 0 1 0 0 -0.9912229 0.001004457 -0.1321972 1 0 0 -0.355834 -0.02138823 0.9343044 -1 0 0 0 1 0 -0.3713306 -0.007082641 0.9284737 -1 0 0 -0.363272 0.2073184 0.908324 0.99122 0.00100857 0.1322189 -1 0 0 0 -0.2225203 0.974928 0 0.2225203 0.974928 0 0.2225203 0.974928 0 -0.6234899 0.7818314 0 -0.2225203 0.974928 0 -0.9009679 0.4338857 0 -0.6234899 0.7818314 0.8524163 -0.5228637 0 0 -1 0 0.8895392 -0.456806 -0.006943106 0.8115767 -0.5841783 0.008879005 -0.3689567 -0.9219196 0.1180474 0 -0.9009679 0.4338857 0 -0.9009683 -0.4338852 0 -1 0 0 -0.6234846 -0.7818356 0 -0.9009683 -0.4338852 -0.363301 -0.2073212 -0.9083117 0 -0.2225261 -0.9749268 0.9912229 -0.001004457 -0.1321972 0.9898671 -0.003237068 -0.1419603 -0.3625738 -0.221139 -0.9053385 0 -0.6234846 -0.7818356 -0.3713605 0.007054865 -0.928462 0 -0.2225261 -0.9749268 0 0.2225261 -0.9749268 0.1598433 0.2320367 -0.9594838 -0.0521928 0.2222228 -0.973598 -0.3559258 0.02130395 -0.9342713 -1 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 1 0 0 0 1 -1 0 0 -1 0 0 0 0 -1 -1 0 0 0 0 -1 0.3744305 -0.2063331 0.9040069 0.3745283 0.2063296 -0.9039672 0 0.2225261 -0.9749268 0 -0.7071057 0.7071079 0 -0.9659259 0.2588188 0 -0.7071057 0.7071079 0 -0.9659259 -0.2588186 0 -0.9659259 0.2588188 0 -0.7071068 -0.7071067 0 -0.9659259 -0.2588186 0 -0.7071068 -0.7071067 0 0.6234846 -0.7818356 0 0.9009683 -0.4338852 0 0.6234846 -0.7818356 0 1 0 0 0.9009683 -0.4338852 0 0.9009679 0.4338857 0 1 0 0 0.6234899 0.7818314 0 0.9009679 0.4338857 0 0.6234899 0.7818314 -0.3530345 0.5833386 -0.7314934 -0.9898671 0.003237068 -0.1419603 0.3624802 0.2211446 -0.9053746 0.3622761 0.2211534 -0.9054542 0.04344213 0.2173439 -0.9751278 0.5592827 0.4658166 -0.6857241 -0.5146119 0.7725111 -0.3720232 0.7086855 0.5836061 -0.3964453 -0.8524163 0.5228637 0 0.7472926 0.6485803 -0.1445595 0.368862 0.9219577 -0.1180454 -0.5146329 0.7724994 0.3720182 -0.8895392 0.456806 -0.006943106 -0.8115767 0.5841783 0.008879005 0.368862 0.9219577 0.1180454 0.3691132 0.9218554 0.1180599 0.7472903 0.6485827 0.1445594 -0.3530747 0.5833342 0.7314777 0.7086659 0.5836225 0.3964561 0.5593521 0.4657866 0.6856881 0.3637667 0.2026482 0.9091796 0 -1 0 0.3637666 0.2026482 0.9091796 -0.04360276 0.2173459 0.9751203 -0.362201 0.2211498 0.905485 0 -1 0 0 -1 0 1 0 0 1 0 0 0 -1 0 0 -1 0 1 0 0 0 -1 0 -0.3640671 0.2026126 -0.9090673 -0.3636904 0.2026515 -0.9092093 0 -1 0 -0.559288 0.4658146 -0.6857212 -0.7086904 0.583602 -0.3964425 0.3530389 0.5833376 -0.7314922 -0.7472971 0.6485752 -0.1445583 0.5146172 0.7725082 -0.3720218 0.3691132 0.9218554 -0.1180599 0 0 1 -0.3690365 0.9218872 -0.118052 0 0 1 0 0 1 1 0 0 1 0 0 0 0 -1 0 0 -1 1 0 0 0 0 -1 -0.747295 0.6485777 0.1445583 -0.3690365 0.9218872 0.118052 0 0 -1 -0.3689567 0.9219196 0.1180474 -0.7086707 0.5836184 0.3964533 0.5146382 0.7724966 0.3720169 -0.5593574 0.4657846 0.6856851 0.353079 0.5833331 0.7314764 0 0 -1 0.8895391 0.4568065 0.006943047 -1 0 0 0.8524163 0.5228637 0 0.8115764 0.5841788 -0.008879065 -1 0 0 -0.3689567 0.9219196 -0.1180474 0 0 1 -1 0 0 0 0 1 0 -1 0 -1 0 0 0 0.6234846 -0.7818356 0 0.9009683 -0.4338852 0 0.6234846 -0.7818356 0 1 0 0 0.9009683 -0.4338852 0 0.9009679 0.4338857 0 1 0 0 0.6234899 0.7818314 0 0.9009679 0.4338857 0.9898575 0.003251254 0.1420264 -0.36237 0.2211425 0.9054192 0 0.6234899 0.7818314 -1 0 0 0 -1 0 -1 0 0 0 -1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 1 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9203521 0.0870279 -0.3812848 -1 0 0 -0.6980541 -0.1593386 -0.6980915 -1 0 0 -0.9186856 -0.1056625 -0.3805944 -1 0 0 -0.7048287 0.377411 -0.6006474 -1 0 0 -0.3730213 0.2241953 -0.9003286 -0.698054 0.1593384 -0.6980915 -1 0 0 0.9167486 0.282464 -0.2824642 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6980853 0.645106 -0.3106694 -1 0 0 -1 0 0 -1 0 0 -0.6980916 0.4464203 -0.559801 -0.6980445 0.7160545 0 -0.6980262 0.6451594 -0.3106907 -1 0 0 -0.698026 0.6451584 0.3106936 -1 0 0 -0.6980444 0.7160544 0 -1 0 0 -0.7048558 0.5015864 0.5015869 -1 0 0 -1 0 0 -1 0 0 -0.6980634 0.6451265 0.3106754 -1 0 0 0.9167436 0.2125341 0.3382462 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6980914 0.1593303 0.6980561 -1 0 0 -0.6980504 0.4464492 0.5598294 -1 0 0 -0.9203581 -0.08702456 0.3812713 -1 0 0 -0.9186916 0.1056587 0.3805809 -1 0 0 -0.7048603 -0.3773949 0.6006206 -1 0 0 -0.6980909 -0.1593262 0.6980576 -0.372923 -0.2242062 0.9003667 -1 0 0 0.9167442 -0.2824714 0.282471 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6980708 -0.6451199 0.3106725 -1 0 0 -1 0 0 -1 0 0 -0.6980587 -0.446444 0.559823 -0.69808 -0.7160198 0 -0.6980583 -0.6451313 0.3106771 -1 0 0 -0.6980581 -0.6451307 -0.3106788 -1 0 0 -0.69808 -0.7160198 0 -1 0 0 -0.7048954 -0.5015593 -0.5015586 -1 0 0 -1 0 0 -1 0 0 -0.6980921 -0.6451018 -0.3106623 -1 0 0 0.916737 -0.2125417 -0.3382589 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.698021 -0.4464632 -0.5598548 0 0.2225229 0.9749276 0 -0.2225231 0.9749274 0 -0.2225231 0.9749274 -1 0 0 0 0.6234869 0.7818338 -1 0 0 0 0.2225229 0.9749276 0 0.9009694 0.4338827 -1 0 0 -1 0 0 -1 0 0 0 0.6234869 0.7818338 0 1 0 0 0.9009694 0.4338827 -1 0 0 0 0.9009695 -0.4338822 -1 0 0 0 1 0 0 0.6234915 -0.7818301 -1 0 0 -1 0 0 -1 0 0 0 0.9009695 -0.4338822 0 0.2225168 -0.9749289 0 0.6234915 -0.7818301 0 -0.222517 -0.9749287 0 0.2225168 -0.9749289 -1 0 0 0 -0.6234915 -0.7818301 -1 0 0 0 -0.222517 -0.9749287 0 -0.9009695 -0.4338822 -1 0 0 -1 0 0 -1 0 0 0 -0.6234915 -0.7818301 0 -1 0 0 -0.9009695 -0.4338822 -1 0 0 0 -0.9009694 0.4338827 -1 0 0 0 -1 0 0 -0.6234869 0.7818338 -1 0 0 -1 0 0 -1 0 0 0 -0.9009694 0.4338827 0 -0.6234869 0.7818338 0 -0.3826141 -0.9239083 -1.69399e-4 0.3825747 -0.9239245 0 0.3827791 -0.9238398 3.92555e-4 -0.9238108 -0.382849 -1.63105e-4 -0.3828111 -0.9238266 3.17108e-4 -0.9238109 0.382849 3.17121e-4 -0.9238486 -0.3827579 -2.55867e-5 -0.3826141 0.9239083 4.49689e-4 -0.9238771 0.3826891 0 0.3825747 0.9239245 0 -0.3826449 0.9238955 4.34914e-4 0.9238576 0.3827363 -3.16961e-5 0.382613 0.9239087 3.17124e-4 0.9238576 -0.3827363 3.17144e-4 0.9239164 0.3825941 3.7793e-4 0.923888 -0.382663 0 -0.3826022 -0.9239133 -1.0057e-4 0.3825628 -0.9239295 0 0.3826842 -0.9238792 4.21083e-4 -0.9238129 -0.3828441 -9.43543e-5 -0.3827161 -0.9238659 3.17113e-4 -0.9238252 0.3828147 3.17126e-4 -0.9238649 -0.3827186 -8.45897e-5 -0.3826141 0.9239083 4.25252e-4 -0.9238792 0.3826842 0 0.3825747 0.9239245 0 -0.3827161 0.9238659 4.10491e-4 0.9238718 0.3827019 -9.06474e-5 0.3826842 0.9238792 3.17124e-4 0.9238597 -0.3827314 3.17145e-4 0.9239185 0.3825892 4.06464e-4 0.9239042 -0.3826236 0 -0.3826022 -0.9239133 -9.44618e-5 0.3825628 -0.9239295 0 0.3826768 -0.9238823 4.06334e-4 -0.9238129 -0.3828441 -1.00457e-4 -0.3827235 -0.9238628 3.02363e-4 -0.9238252 0.3828147 3.02376e-4 -0.9238649 -0.3827186 -9.06984e-5 -0.3826141 0.9239083 4.10502e-4 -0.9238792 0.3826842 0 0.3825747 0.9239245 0 -0.3827235 0.9238628 4.25231e-4 0.9238644 0.3827198 -8.45431e-5 0.3826768 0.9238823 3.14664e-4 0.9238522 -0.3827492 3.14687e-4 0.9239197 0.3825863 4.21217e-4 0.9239054 -0.3826206 0 -0.3826141 -0.9239083 -1.63291e-4 0.3825747 -0.9239245 0 0.3827718 -0.923843 3.77806e-4 -0.9238109 -0.382849 -1.69209e-4 -0.3828185 -0.9238235 3.02358e-4 -0.9238109 0.382849 3.02371e-4 -0.9238486 -0.3827579 -3.16954e-5 -0.3826141 0.9239083 4.34938e-4 -0.9238771 0.3826891 0 0.3825747 0.9239245 0 -0.3826523 0.9238924 4.49654e-4 0.9238501 0.3827541 -2.55927e-5 0.3826056 0.9239118 3.14663e-4 0.9238502 -0.3827542 3.14686e-4 0.9239177 0.3825911 3.92683e-4 0.9238891 -0.38266 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.2225242 -0.9749272 0 0.2225242 -0.9749271 0 0.2225242 -0.9749271 0 -0.6234857 -0.7818348 0 -0.2225242 -0.9749272 0 -0.9009692 -0.4338831 0 -0.6234857 -0.7818348 0 -1 0 0 -0.9009692 -0.4338831 0 -0.9009703 0.4338808 0 -1 0 0 -0.6234875 0.7818334 0 -0.9009703 0.4338808 0 -0.2225198 0.9749282 0 -0.6234875 0.7818334 0 0.2225198 0.9749282 0 -0.2225198 0.9749282 0 0.6234879 0.7818331 0 0.2225198 0.9749282 0 0.9009701 0.4338814 0 0.6234879 0.7818331 0 1 0 0 0.9009701 0.4338814 0 0.9009689 -0.4338837 0 1 0 0 0.6234861 -0.7818345 0 0.9009689 -0.4338837 0 0.6234861 -0.7818345 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9190791 0.1019951 0.3806451 -0.6947265 -0.1861645 0.6947646 -0.9208903 -0.08061426 0.3813953 -0.6947408 0.5085934 0.5085942 -0.3731268 0.2207559 0.9011345 -0.6947247 0.1861643 0.6947664 -0.6947335 0.6947588 0.1861605 -0.6947332 0.5085982 0.5085998 -0.6947413 0.6947516 -0.1861578 -0.6947413 0.6947516 0.1861579 -0.6947568 0.5085828 -0.5085828 -0.6947419 0.694751 -0.1861577 -0.6947458 0.1861574 -0.6947472 -0.6947564 0.5085832 -0.5085831 -0.9190672 -0.1020011 -0.3806723 -0.9208784 0.08062261 -0.3814226 -0.6947612 -0.5085798 -0.5085797 -0.3731103 -0.2207564 -0.9011412 -0.694748 -0.1861599 -0.6947444 -0.6947057 -0.6947847 -0.1861667 -0.6947301 -0.5085994 -0.5086027 -0.6947063 -0.694784 0.1861672 -0.6947066 -0.694784 -0.1861665 -0.6947068 -0.5086166 0.5086174 -0.6946974 -0.6947926 0.1861689 -0.6947462 -0.5085877 0.5085926 -0.371354 -0.2403141 0.896853 0 0.2588219 0.965925 0 -0.2588222 0.9659249 0 -0.2588222 0.9659249 0 0.7071057 0.7071079 0 0.2588219 0.965925 0 0.9659259 0.2588188 0 0.7071057 0.7071079 0 0.9659259 -0.2588186 0 0.9659259 0.2588188 0 0.7071068 -0.7071068 0 0.9659259 -0.2588186 -0.3713376 0.2403171 -0.8968589 0 0.2588235 -0.9659246 0 0.7071068 -0.7071068 0 0.2588235 -0.9659246 0 -0.2588238 -0.9659246 0.3713608 0.2403132 0.8968505 0.3731335 -0.2207555 0.9011318 0.694729 -0.1861634 0.6947624 0.6947435 0.5085911 0.5085927 0.9208866 0.08061707 0.3814035 0.6947273 0.1861643 0.6947638 0.694736 0.6947565 0.1861592 0.6947359 0.5085967 0.5085975 0.694744 0.6947492 -0.1861571 0.6947439 0.6947489 0.1861578 0.6947596 0.5085811 -0.5085809 0.6947447 0.6947485 -0.1861569 0.6947489 0.1861594 -0.6947436 0.694759 0.5085813 -0.5085813 0.373117 0.2207559 -0.9011386 0.3713443 -0.2403167 -0.8968564 0 -0.2588238 -0.9659246 0.9190754 -0.1019973 0.3806533 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9190635 0.1020032 -0.3806805 1 0 0 1 0 0 0.9208747 -0.08062559 -0.3814307 1 0 0 0.6947503 -0.1861563 -0.694743 1 0 0 1 0 0 0.6947484 -0.5085882 0.508589 1 0 0 1 0 0 0.6946999 -0.6947899 0.1861689 0.6947091 -0.508613 0.5086178 1 0 0 0.6947091 -0.6947816 -0.1861659 1 0 0 1 0 0 0.6947091 -0.6947816 0.1861659 1 0 0 0.694733 -0.5085991 -0.508599 1 0 0 0.6947085 -0.6947822 -0.186166 1 0 0 0.6947643 -0.5085761 -0.5085793 0 -0.2225242 -0.9749272 0 0.2225242 -0.9749271 0 0.2225242 -0.9749271 0 -0.6234856 -0.7818347 0 -0.2225242 -0.9749272 1 0 0 0 -0.9009692 -0.433883 0 -0.6234856 -0.7818347 0 -1 0 0 -0.9009692 -0.433883 0 -0.9009703 0.4338808 0 -1 0 0 -0.6234875 0.7818334 0 -0.9009703 0.4338808 0 -0.2225198 0.9749283 0 -0.6234875 0.7818334 0 0.2225198 0.9749282 0 -0.2225198 0.9749283 0 0.6234878 0.781833 0 0.2225198 0.9749282 1 0 0 0 0.90097 0.4338814 0 0.6234878 0.781833 0 1 0 0 0.90097 0.4338814 0 0.9009689 -0.4338837 0 1 0 0 0.6234861 -0.7818345 0 0.9009689 -0.4338837 0 0.6234861 -0.7818345 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.2225229 0.9749275 0 -0.2225231 0.9749274 0 -0.2225231 0.9749274 0 0.6234869 0.7818338 0 0.2225229 0.9749275 0 0.9009694 0.4338827 0 0.6234869 0.7818338 0 1 0 0 0.9009694 0.4338827 0 0.9009696 -0.4338822 0 1 0 0 0.6234915 -0.7818301 0 0.9009696 -0.4338822 0 0.2225168 -0.9749289 0 0.6234915 -0.7818301 0 -0.222517 -0.9749289 0 0.2225168 -0.9749289 0 -0.6234915 -0.7818301 0 -0.222517 -0.9749289 0 -0.9009696 -0.4338822 0 -0.6234915 -0.7818301 0 -1 0 0 -0.9009696 -0.4338822 0 -0.9009694 0.4338827 0 -1 0 0 -0.6234869 0.7818338 0 -0.9009694 0.4338827 0 -0.6234869 0.7818338 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.9203485 -0.08702975 -0.3812931 0.6980567 0.1593382 -0.6980889 0.9186821 0.1056638 -0.3806027 0.7048315 -0.3774096 -0.6006453 0.3730277 -0.2241943 -0.9003263 0.6980566 -0.1593378 -0.6980891 1 0 0 -0.9167507 -0.2824609 -0.2824606 1 0 0 1 0 0 1 0 0 1 0 0 0.698095 -0.6450983 -0.3106632 1 0 0 0.6980993 -0.4464156 -0.5597951 0.6980826 -0.7160173 0 0.6980608 -0.6451292 -0.3106756 0.6980609 -0.6451287 0.3106768 0.6980826 -0.7160172 0 1 0 0 0.7048642 -0.5015811 0.5015804 1 0 0 0.6980733 -0.6451181 0.3106707 -0.9167447 -0.2125328 0.3382441 1 0 0 1 0 0 1 0 0 0.698094 -0.1593296 0.6980536 0.698053 -0.4464474 0.5598273 0.9203545 0.08702647 0.3812795 0.9186881 -0.1056598 0.3805893 0.7048629 0.3773935 0.6006183 0.3729295 0.2242056 0.900364 0.6980934 0.1593257 0.698055 1 0 0 -0.9167443 0.282471 0.2824712 1 0 0 1 0 0 1 0 0 1 0 0 0.6980664 0.6451229 0.3106764 1 0 0 0.6980563 0.4464455 0.5598249 0.6980471 0.7160519 0 0.6980288 0.6451569 0.3106901 0.6980285 0.6451557 -0.3106933 0.6980471 0.7160518 0 1 0 0 0.7048923 0.5015608 -0.5015612 1 0 0 0.6980872 0.6451058 -0.3106649 -0.9167383 0.2125404 -0.3382568 1 0 0 1 0 0 1 0 0 0.6980236 0.4464616 -0.5598527 0 0.3825747 -0.9239246 1.63259e-4 -0.3826141 -0.9239083 0 -0.3828111 -0.9238267 -3.77879e-4 0.9238576 -0.3827363 1.69247e-4 0.3827792 -0.9238399 -3.17122e-4 0.9238576 0.3827363 -3.17132e-4 0.923888 -0.382663 3.17227e-5 0.3825747 0.9239246 -4.34985e-4 0.9239164 0.3825941 0 -0.3826141 0.9239083 0 0.382613 0.9239087 -4.49602e-4 -0.9238108 0.382849 2.55644e-5 -0.3826449 0.9238954 -3.17106e-4 -0.9238108 -0.382849 -3.17129e-4 -0.9238771 0.3826891 -3.92615e-4 -0.9238487 -0.3827579 0 0.3825628 -0.9239295 9.44319e-5 -0.3826022 -0.9239131 0 -0.3827162 -0.9238661 -4.06398e-4 0.9238595 -0.3827314 1.00484e-4 0.3826842 -0.9238792 -3.17127e-4 0.9238718 0.3827019 -3.17138e-4 0.9239042 -0.3826236 9.07265e-5 0.3825747 0.9239246 -4.10555e-4 0.9239185 0.3825892 0 -0.3826141 0.9239083 0 0.3826842 0.9238792 -4.25173e-4 -0.923825 0.3828146 8.45134e-5 -0.3827162 0.923866 -3.17107e-4 -0.9238129 -0.3828441 -3.17129e-4 -0.9238792 0.3826842 -4.21156e-4 -0.9238649 -0.3827186 0 0.3825628 -0.9239295 1.0054e-4 -0.3826022 -0.9239131 0 -0.3827236 -0.9238629 -4.21138e-4 0.9238522 -0.3827492 9.4382e-5 0.3826768 -0.9238822 -3.14666e-4 0.9238644 0.3827198 -3.1468e-4 0.9239054 -0.3826206 8.46185e-5 0.3825747 0.9239246 -4.25307e-4 0.9239197 0.3825863 0 -0.3826141 0.9239083 0 0.3826768 0.9238823 -4.10423e-4 -0.923825 0.3828146 9.06183e-5 -0.3827235 0.9238629 -3.02358e-4 -0.9238129 -0.3828441 -3.02379e-4 -0.9238792 0.3826842 -4.06406e-4 -0.9238649 -0.3827186 0 0.3825747 -0.9239246 1.69368e-4 -0.3826141 -0.9239083 0 -0.3828185 -0.9238236 -3.92617e-4 0.9238502 -0.3827542 1.63144e-4 0.3827717 -0.9238429 -3.14661e-4 0.9238502 0.3827542 -3.14674e-4 0.9238892 -0.38266 2.56147e-5 0.3825747 0.9239246 -4.49738e-4 0.9239177 0.3825911 0 -0.3826141 0.9239083 0 0.3826056 0.9239118 -4.34853e-4 -0.9238108 0.382849 3.16684e-5 -0.3826523 0.9238924 -3.02357e-4 -0.9238108 -0.382849 -3.02379e-4 -0.9238771 0.3826891 -3.77865e-4 -0.9238487 -0.382758 0.3745351 0.2063287 -0.9039645 0 -0.2225255 -0.9749268 0 0.2225257 -0.9749268 0 0.2225257 -0.9749268 0 -0.6234846 -0.7818356 0 -0.2225255 -0.9749268 0 -0.9009702 -0.4338811 0 -0.6234846 -0.7818356 0 -1 0 0 -0.9009702 -0.4338811 0 -0.9009699 0.4338817 0 -1 0 0 -0.6234899 0.7818314 0 -0.9009699 0.4338817 0.3744373 -0.2063319 0.9040043 0 -0.2225198 0.9749282 0 -0.6234899 0.7818314 0 -0.2225198 0.9749282 0 0.2225199 0.9749282 -0.3633098 -0.20732 -0.9083085 -0.3713695 0.007054805 -0.9284584 -0.05219221 0.2222225 -0.9735981 -0.3559329 0.02130538 -0.9342687 0.1598235 0.2320359 -0.9594873 0.3529998 -0.5833468 -0.7315037 0.9912233 -0.001004457 -0.1321936 0.9898677 -0.003236889 -0.141956 -0.3624802 -0.2211439 -0.9053748 -0.3622762 -0.2211527 -0.9054543 -0.04344189 -0.2173435 -0.975128 -0.5592906 -0.4658156 -0.6857185 0.5146041 -0.7725169 -0.3720217 -0.7087127 -0.5835835 -0.39643 0.8524268 -0.5228466 0 -0.7472822 -0.6485911 -0.1445653 -0.3688473 -0.9219636 -0.118046 0.514625 -0.7725054 0.3720168 0.8896654 -0.45656 -0.00696659 0.8114013 -0.5844215 0.00891751 -0.3688473 -0.9219636 0.118046 -0.3688768 -0.9219515 0.1180477 -0.74728 -0.6485934 0.1445652 0.35304 -0.5833423 0.7314879 -0.708693 -0.5835999 0.3964408 -0.05233538 -0.2222148 0.9735921 -0.55936 -0.4657855 0.6856823 0.1597399 -0.2320364 0.959501 -0.3558433 -0.02138757 0.9343009 -0.3713396 -0.007082581 0.9284701 -0.3632809 0.2073173 0.9083207 0 0.2225199 0.9749282 -1 0 0 -1 0 0 -1 0 0 0 1 0 0 1 0 -1 0 0 0 1 0 0.3640494 -0.2026141 -0.909074 0.3636905 -0.2026511 -0.9092094 0 1 0 0.5592906 -0.4658156 -0.6857185 -0.1598553 -0.2320364 -0.9594818 0.05219179 -0.2222223 -0.9735981 0.7087127 -0.5835835 -0.39643 -0.3529998 -0.5833468 -0.7315037 0.7472822 -0.6485911 -0.1445653 -0.5146041 -0.7725169 -0.3720217 -0.3688768 -0.9219515 -0.1180477 0 0 1 0.3688001 -0.9219831 -0.1180405 0 0 1 0 0 1 -1 0 0 -1 0 0 0 0 -1 0 0 -1 -1 0 0 0 0 -1 0.74728 -0.6485934 0.1445652 0.3689242 -0.9219326 0.1180477 0.3688001 -0.9219831 0.1180405 0 0 -1 0.708693 -0.5835999 0.3964408 -0.514625 -0.7725054 0.3720168 0.55936 -0.4657855 0.6856823 -0.35304 -0.5833423 0.7314879 -0.3637667 -0.2026479 0.9091796 0.04360204 -0.2173455 0.9751204 -0.3637667 -0.2026479 0.9091796 0 1 0 0.3622007 -0.2211496 0.9054853 0 1 0 0 1 0 -1 0 0 -1 0 0 0.9912204 0.00100857 0.1322153 -1 0 0 0.3559351 -0.02130329 -0.9342678 1 0 0 0 1 0 0.3713695 -0.007054805 -0.9284583 1 0 0 0.3633099 0.2073202 -0.9083085 -0.9912234 0.001004457 -0.1321936 1 0 0 0 -0.2225255 -0.9749269 0 0.2225257 -0.9749267 0 0.2225257 -0.9749267 0 -0.6234846 -0.7818357 0 -0.2225255 -0.9749269 0 -0.9009701 -0.4338811 0 -0.6234846 -0.7818357 -0.8524268 -0.5228466 0 0 -1 0 -0.8896651 -0.4565604 0.006966531 -0.8114009 -0.584422 -0.00891757 0.3689242 -0.9219326 -0.1180477 0 -0.9009701 -0.4338811 0 -0.9009699 0.4338818 0 -1 0 0 -0.6234899 0.7818315 0 -0.9009699 0.4338818 0.3632809 -0.2073171 0.9083207 0 -0.2225198 0.9749282 -0.9912204 -0.00100857 0.1322153 -0.9898582 -0.003251075 0.1420221 0.3623526 -0.2211429 0.9054262 0 -0.6234899 0.7818315 0.3713396 0.007082581 0.9284701 0 -0.2225198 0.9749282 0 0.2225199 0.9749281 -0.1597077 0.232036 0.9595065 0.05233591 0.222215 0.973592 0.355841 0.02138966 0.9343017 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 -1 1 0 0 1 0 0 0 0 1 1 0 0 0 0 1 -0.3745283 -0.2063291 -0.9039673 -0.3744304 0.2063327 0.9040068 0 0.2225199 0.9749281 0 -0.7071046 -0.707109 0 -0.9659259 -0.2588186 0 -0.7071046 -0.707109 0 -0.9659259 0.2588188 0 -0.9659259 -0.2588186 0 -0.7071034 0.7071102 0 -0.9659259 0.2588188 0 -0.7071034 0.7071102 0 0.6234899 0.7818314 0 0.9009695 0.4338824 0 0.6234899 0.7818314 0 1 0 0 0.9009695 0.4338824 0 0.9009698 -0.4338818 0 1 0 0 0.6234846 -0.7818356 0 0.9009698 -0.4338818 0 0.6234846 -0.7818356 0.3530402 0.5833423 0.7314879 0.9898579 0.003251433 0.1420236 -0.3622766 0.2211468 0.9054556 -0.3622766 0.2211468 0.9054555 -0.04360079 0.2173449 0.9751206 -0.5593602 0.4657854 0.6856822 0.5146195 0.7725081 0.3720189 -0.7086929 0.5836001 0.3964409 0.8524215 0.5228553 0 -0.747285 0.648588 0.1445639 -0.3688473 0.9219638 0.1180438 0.5145987 0.7725195 -0.3720238 0.889669 0.4565529 0.00696808 0.8113816 0.5844486 -0.008920192 -0.3688473 0.9219638 -0.1180438 -0.3688769 0.9219518 -0.1180456 -0.7472871 0.6485856 -0.144564 0.3529998 0.5833468 -0.7315037 -0.7087128 0.5835834 -0.3964299 -0.5592906 0.4658156 -0.6857185 -0.363767 0.2026441 -0.9091804 0 -1 0 -0.3639729 0.2026228 -0.9091027 0.04344081 0.2173429 -0.9751282 0.3622005 0.2211542 -0.9054842 0 -1 0 0 -1 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0 -1 0 0 0 -1 0 0.3638433 0.202638 0.9091512 0.3636903 0.2026538 0.9092089 0 -1 0 0.5593602 0.4657854 0.6856822 0.7086929 0.5836001 0.3964409 -0.3530402 0.5833423 0.7314879 0.747285 0.648588 0.1445639 -0.5146195 0.7725081 0.3720189 -0.3688769 0.9219518 0.1180456 0 0 -1 0.3688002 0.9219834 0.1180384 0 0 -1 0 0 -1 -1 0 0 -1 0 0 0 0 1 0 0 1 -1 0 0 0 0 1 0.7472871 0.6485856 -0.144564 0.3688002 0.9219834 -0.1180384 0 0 1 0.3689242 0.9219328 -0.1180455 0.7087128 0.5835834 -0.3964299 -0.5145987 0.7725195 -0.3720238 0.5592906 0.4658156 -0.6857185 -0.3529998 0.5833468 -0.7315037 0 0 1 -0.8896692 0.4565525 -0.00696814 1 0 0 -0.8524215 0.5228553 0 -0.8113819 0.5844482 0.008920073 1 0 0 0.3689242 0.9219328 0.1180455 0 0 -1 1 0 0 0 0 -1 0 -1 0 1 0 0 0 0.6234899 0.7818315 0 0.9009696 0.4338824 0 0.6234899 0.7818315 0 1 0 0 0.9009696 0.4338824 0 0.9009698 -0.4338818 0 1 0 0 0.6234846 -0.7818357 0 0.9009698 -0.4338818 -0.9898674 0.003237247 -0.1419575 0.3625563 0.2211388 -0.9053454 0 0.6234846 -0.7818357 1 0 0 0 -1 0 1 0 0 0 -1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 0 1 0 0 1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.999985 0 0.005495011 -0.005479991 0 0.999985 -0.005106449 -0.3826668 0.9238723 -0.005062758 -0.3827063 0.9238562 0.9999848 -7.17222e-6 0.00551486 -0.005062818 -0.38269 0.9238629 0.9999848 0 0.005516529 0.9999849 7.01588e-6 0.005495488 0.9999848 -8.93997e-7 0.005522191 0.9999848 -3.85554e-7 0.005520105 0.9999848 -5.73166e-7 0.005522787 -0.005479991 0 0.999985 0.9999848 1.26329e-6 0.005515456 -0.002114713 -0.9238765 0.3826849 -0.005105376 -0.3826516 0.9238786 0.9999848 2.10302e-4 0.005517482 0 -1 0 0.9999849 1.82231e-4 0.005517601 -0.002099394 -0.9238822 0.3826712 0.9999848 -7.81221e-6 0.00551933 0.00211364 -0.9238765 -0.3826848 0 -1 0 0.9999848 1.62277e-5 0.005518078 0.005102813 -0.3826632 -0.9238739 0.002113699 -0.9238765 -0.3826848 0.9999849 0 0.005520701 0.00551784 0 -0.9999848 0.005097866 -0.3826677 -0.9238721 0.9999845 -1.69195e-5 0.005558609 0.005097806 -0.3826937 -0.9238612 0.00551784 0 -0.9999848 0.9999849 1.27269e-5 0.005485713 0.002111732 -0.9238747 -0.3826892 0.005097985 -0.3826935 -0.9238613 0.9999847 -5.8209e-7 0.005523383 0 -1 0 0.002113699 -0.923874 -0.3826911 0.9999847 -5.30222e-7 0.005522549 -0.00209707 -0.9238806 0.3826752 0 -1 0 0.9999849 0 0.005494892 -0.005100131 -0.3826726 0.9238699 -0.002112567 -0.9238748 0.3826891 -0.005526542 0 0.9999847 -0.005105912 -0.3826673 0.9238721 0.9807201 0.1953433 0.005411267 -0.005526542 0 0.9999847 -0.005526542 -1.20013e-5 0.9999848 0.9807199 0.1953433 0.005411267 0.005527138 0 -0.9999847 0.005527138 1.21261e-5 -0.9999846 0.005106389 -0.3827 -0.9238585 0.005527138 0 -0.9999847 0.002112329 -0.923875 -0.3826886 0.005099475 -0.3827063 -0.9238559 0 -1 0 0.002112805 -0.9238747 -0.382689 -0.00211519 -0.9238749 0.382689 0 -1 0 -0.00211519 -0.9238749 0.382689 0.707095 0.707108 0.003901481 0.8316176 0.5553298 0.004588603 0.707095 0.7071078 0.003901541 0.005534291 2.89725e-5 -0.9999847 0.005511641 -6.30904e-6 -0.9999848 0.005544126 -3.88e-5 -0.9999846 0.8316174 0.55533 0.004588603 -0.005511581 6.33806e-6 0.9999848 -0.005526185 -1.2375e-5 0.9999848 -0.00540179 -4.88147e-5 0.9999855 -0.005505979 7.26726e-7 0.9999848 0.5553095 0.8316381 0.003064036 -0.005512177 5.97386e-6 0.9999848 -0.005512475 6.25789e-6 0.9999848 0.5553097 0.8316381 0.003064036 0.005573153 -9.89929e-6 -0.9999844 0 1 0 0.005603969 0 -0.9999843 -0.3778118 0 -0.9258823 0.005603969 0 -0.9999843 -0.3778118 0 -0.9258823 0 1 0 0.1953918 0.9807246 0.001078128 0 1 0 0 1 0 0 1 0 0.005495727 0 -0.9999849 0.1953924 0.9807245 0.001078069 -0.005526363 0 0.9999848 -0.005495429 5.3897e-6 0.9999849 -0.005505442 0 0.9999849 -0.005505204 0 0.9999849 0 1 0 0.9999848 0 0.005521297 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.005526363 0 0.9999848 -0.002112448 0.9238793 0.3826782 0.9999848 0 0.005521297 0.9999849 0 0.005506992 -0.00211066 0.9238753 0.3826877 -0.9999848 0 -0.005516946 -0.9999849 0 -0.00550729 -0.9258816 0 0.3778139 -0.9999848 0 -0.005516946 -0.3880361 0 0.9216442 -0.9258816 0 0.3778139 0 1 0 0.3778241 0 0.9258774 -0.3880361 0 0.9216442 0 1 0 0.921656 0 0.3880081 0.3778241 0 0.9258774 0 1 0 0.9999848 0 0.005507886 0 1 0 0 1 0 0.921656 0 0.3880081 0 1 0 0.9435697 0 0.3311744 0.9999848 0 0.005507886 0.5403106 0 0.8414657 0.9435697 0 0.3311744 0 1 0 -0.02034342 0.9997931 -1.12249e-4 0 1 0 0 1 0 0 1 0 0 1 0 0.5403106 0 0.8414657 0.1769581 0 0.9842185 -0.0203346 0.9997932 -1.12222e-4 0.5495575 0 -0.835456 0.1882143 0 -0.9821279 0.1881947 1.63282e-6 -0.9821318 0.9471621 0 -0.3207554 0.5495575 0 -0.835456 0.9999846 0 0.005542695 0.9471621 0 -0.3207554 0.9258428 0 -0.3779087 0.9999846 0 0.005542695 0.3880366 0 -0.921644 0.9258428 0 -0.3779087 0 1 0 -0.3778491 0 -0.9258671 0 1 0 0.3880366 0 -0.921644 0 1 0 -0.921644 0 -0.3880364 0 1 0 -0.3778491 0 -0.9258671 0 1 0 -0.9999848 0 -0.005527257 0 1 0 -0.921644 0 -0.3880364 0.002110719 0.9238755 -0.3826874 -0.9999848 0 -0.005527257 -0.9999849 0 -0.005506813 0.002112388 0.9238792 -0.3826785 0.9999848 0 0.005526661 0.9999848 0 0.005507409 0.9258814 0 -0.3778142 0.9999848 0 0.005526661 0.3880359 0 -0.9216443 0.9258814 0 -0.3778142 -0.3778118 0 -0.9258823 0.3880359 0 -0.9216443 -0.9216438 0 -0.388037 -0.3778118 0 -0.9258823 -0.9999848 0 -0.00551337 -0.9216438 0 -0.388037 -0.921656 0 -0.3880081 -0.9999848 0 -0.00551337 -0.921656 0 -0.3880081 -0.7070949 0.7071079 -0.003901898 -0.572085 0.8201884 -0.0031569 -0.7070949 0.7071079 -0.003901898 0.005512654 5.27848e-6 -0.9999848 0.005512654 5.27867e-6 -0.9999848 0.005522727 1.53329e-5 -0.9999848 -0.572112 0.8201695 -0.003156363 -0.00553447 2.91285e-5 0.9999848 -0.005545198 1.83931e-5 0.9999846 -0.005524635 -1.20029e-5 0.9999848 -0.005463182 1.68198e-4 0.999985 -0.831594 0.555365 -0.004588961 -0.00551176 -6.15656e-6 0.9999848 -0.005544304 -3.86837e-5 0.9999846 -0.8316181 0.5553289 -0.004588067 0.00550729 0 -0.9999848 -0.9999848 -2.92575e-7 -0.005518853 0 -1 0 -0.9999848 -2.04484e-6 -0.005521774 -0.002113699 -0.9238741 0.3826907 -0.002112507 -0.9238746 0.3826897 -0.9999848 -4.59589e-7 -0.005521476 0.00211519 -0.923874 -0.3826912 0 -1 0 -0.9999849 0 -0.005497515 0.005100607 -0.3827063 -0.9238559 0.002112805 -0.9238748 -0.382689 0.005526959 0 -0.9999847 0.00510621 -0.3827013 -0.9238581 -0.9999848 -2.30212e-4 -0.005518198 -0.98071 0.1953939 -0.005411803 -0.9999848 -1.99867e-5 -0.005517482 -0.9999848 -1.23987e-5 -0.005517423 -0.9999848 7.95428e-6 -0.005516767 -0.9999848 0 -0.005517601 -0.9999849 1.02781e-5 -0.005503296 0.005526959 0 -0.9999847 0.005526959 -1.20807e-5 -0.9999846 -0.9807199 0.1953433 -0.005410671 -0.9999848 0 -0.005516707 -0.005520701 0 0.9999848 -0.9999848 3.11698e-5 -0.005524098 -0.9999848 -1.45128e-5 -0.005520701 -0.005541563 1.52907e-5 0.9999846 -0.005547523 2.6222e-5 0.9999846 -0.005520701 -4.91938e-5 0.9999848 -0.9999848 3.54863e-6 -0.005506098 -0.005100429 -0.3827064 0.923856 -0.005520701 0 0.9999848 -0.9999848 8.96833e-7 -0.005515038 -0.00211513 -0.9238748 0.3826891 -0.00510621 -0.3827012 0.9238581 -0.9999848 -3.23958e-7 -0.005520105 0 -1 0 -0.00211513 -0.9238748 0.3826891 -0.9999848 -5.09083e-7 -0.005522787 0.002112507 -0.9238748 -0.3826891 0 -1 0 -0.999985 0 -0.005498111 0.005099952 -0.3826726 -0.92387 0.002112507 -0.9238748 -0.3826891 0.005486607 0 -0.9999849 0.005068898 -0.3827006 -0.9238585 0.005068957 -0.382685 -0.923865 0.005486607 0 -0.9999849 0.002112567 -0.9238761 -0.382686 0.00510019 -0.3826567 -0.9238765 0 -1 0 0.002098202 -0.9238814 -0.3826732 -0.002113997 -0.9238765 0.3826851 0 -1 0 -0.005102992 -0.3826874 0.9238638 -0.002113699 -0.9238765 0.3826848 -0.005523443 0 0.9999848 -0.005102992 -0.3826873 0.9238638 -0.005102932 -0.3827027 0.9238575 -0.005523443 0 0.9999848 -0.005102753 -0.3827028 0.9238573 -0.005518674 -9.44283e-6 0.9999848 0 -1 0 0.382683 -0.9238773 0.002112686 0.382685 -0.9238765 0.002114832 -0.005518972 8.64147e-6 0.9999848 -0.3826826 -0.9238774 -0.002114951 0 -1 0 -0.005518257 -8.54894e-6 0.9999848 -0.9238596 -0.3826975 -0.005106389 -0.005518972 8.857e-6 0.9999848 -0.3826828 -0.9238774 -0.00211519 -0.005516707 0 0.9999848 -0.9999847 0 -0.005519688 -0.005518257 -5.9873e-6 0.9999848 -0.005519568 2.5613e-6 0.9999848 -0.005514979 -3.54844e-6 0.9999848 -0.005571603 3.62425e-5 0.9999845 -0.005522251 1.15906e-5 0.9999848 -0.923857 -0.3827037 -0.005099475 -0.005518972 8.84934e-6 0.9999848 -0.923866 0.382682 -0.005099534 -0.005518257 -8.55596e-6 0.9999848 -0.005518257 -3.69331e-7 0.9999848 -0.9999847 0 -0.005519688 -0.005521237 -3.16933e-6 0.9999848 -0.3826805 0.9238784 -0.00211513 -0.005518257 -4.41038e-5 0.9999847 -0.005517125 -9.33778e-5 0.9999848 -0.005518972 8.65899e-6 0.9999848 -0.9238634 0.3826883 -0.005106449 0 1 0 -0.3826807 0.9238783 -0.002114892 -0.005517423 -1.24595e-5 0.9999848 -0.3826889 0.9238747 -0.002098798 -0.005518257 1.037e-5 0.9999848 0 1 0 -0.005519926 1.58486e-5 0.9999849 -0.9238584 0.3827003 -0.005102753 -0.005517423 -8.21903e-6 0.9999848 -0.3826755 0.9238805 -0.00211364 -0.005519926 0 0.9999848 -0.999985 0 -0.005484342 -0.005519926 0 0.9999848 -0.9238722 0.3826678 -0.005066871 -0.005099713 0.3826909 0.9238624 -0.999985 0 -0.005484342 -0.999985 4.33323e-6 -0.005484342 -0.005095481 0.3826686 0.9238716 0.9999847 0 0.005523204 0.9999848 -1.63814e-5 0.005523204 0.9238582 0.3827009 0.005102753 0.9999847 0 0.005523204 0.3826889 0.9238749 0.002113699 0.9238582 0.3827009 0.005102753 0 1 0 0.3826889 0.9238749 0.002113699 0.3826809 0.9238781 0.002114832 0 1 0 0.9238656 0.3826831 0.005100488 0.3826829 0.9238774 0.002112686 -0.005517959 0 0.9999849 0.9999848 0 0.005527138 -0.005510985 -1.25696e-6 0.9999848 -0.005522251 1.82253e-6 0.9999847 -0.005519509 6.79763e-7 0.9999849 0.9238634 0.3826885 0.005106389 0.9238592 -0.3826986 0.005106389 -0.005514204 3.11358e-6 0.9999848 0.9999848 0 0.005527138 0.923857 -0.382704 0.005100429 -0.005518317 -8.35583e-6 0.9999848 0.6510292 0.3779644 0.6582582 -0.005518376 8.40667e-6 0.9999848 0.6510581 -0.3779817 0.6582198 -0.005519092 7.02784e-6 0.9999848 0.6510387 -0.3779317 0.6582677 -0.005522251 1.53024e-4 0.9999848 -0.003615796 0.7558267 0.6547619 -0.005517959 -7.68555e-6 0.9999848 0.6510829 0.3779559 0.65821 -0.6582841 0.3779903 0.6509881 -0.003613233 0.7558298 0.6547583 -0.6582469 -0.3779694 0.6510379 -0.6582596 0.3779254 0.6510505 -0.003615796 -0.7558291 0.6547589 -0.6583146 -0.3779585 0.6509757 -0.005522251 1.5302e-4 0.9999848 -0.003613293 -0.7558259 0.6547626 0.6510372 0.3779704 0.658247 0.6510566 -0.3779768 0.6582241 0.6510443 -0.3779453 0.6582542 -0.003615915 0.7558141 0.6547762 0.6510666 0.3779656 0.6582204 -0.6582736 0.3779762 0.6510068 -0.003613412 0.7558172 0.6547726 -0.6582588 -0.3779628 0.6510295 -0.6582631 0.3779482 0.6510338 -0.003615856 -0.7558176 0.6547724 -0.6582921 -0.3779575 0.6509988 -0.003613412 -0.7558145 0.6547758 0.005515635 0 -0.9999848 0.9999847 0 0.005519688 0.005518257 -7.24217e-6 -0.9999848 0.005518257 -3.72108e-6 -0.9999848 0.9238598 -0.3826975 0.005069673 0.005522191 2.55432e-5 -0.9999848 0.005518376 1.66624e-6 -0.9999848 0.005535304 1.47123e-5 -0.9999846 0.005514442 -2.68256e-6 -0.9999848 0.005522191 1.47553e-5 -0.9999848 0.9238709 -0.3826705 0.005099594 0.005518972 7.53635e-6 -0.9999848 0.923866 0.382682 0.005099534 0.005518257 -9.87712e-6 -0.9999848 0.005518257 -7.19229e-7 -0.9999848 0.9999847 0 0.005519688 0.005518734 1.2938e-5 -0.9999848 0.3826808 0.9238782 0.002099931 0.005518138 5.07297e-6 -0.9999847 0.005521595 1.52832e-4 -0.9999848 0.005518972 1.18064e-5 -0.9999848 0.9238774 0.382655 0.005069792 0 1 0 0.382667 0.923884 0.00211507 0.005517303 -1.59594e-5 -0.9999848 0.3826889 0.9238747 0.002098798 0.005518138 7.45828e-6 -0.9999848 0 1 0 0.00551933 1.01011e-5 -0.9999847 0.9238719 0.3826677 0.005102992 0.005517303 -9.48132e-6 -0.9999848 0.3826754 0.9238805 0.002113699 0.00551933 0 -0.9999848 0.9999847 0 0.005523383 0.00551933 0 -0.9999848 0.9238719 0.3826676 0.005102992 0.005099236 0.3826694 -0.9238712 0.9999847 0 0.005523383 0.9999848 1.578e-5 0.005523383 0.005099773 0.3826722 -0.9238702 -0.9999848 0 -0.005523443 -0.9999848 -1.46605e-5 -0.005523443 -0.9999847 -1.69657e-5 -0.005522191 -0.9238581 0.3827009 -0.005102932 -0.9999848 0 -0.005523443 -0.3826889 0.9238749 -0.002113759 -0.9238581 0.3827009 -0.005102932 0 1 0 -0.3826889 0.9238749 -0.002113759 -0.3826808 0.9238783 -0.002112209 0 1 0 -0.9238656 0.3826831 -0.005099356 -0.3826807 0.9238783 -0.002112209 0.005520105 0 -0.9999848 -0.9999848 0 -0.005525887 0.005510449 -1.41184e-6 -0.9999849 0.005522191 1.33696e-6 -0.9999848 0.005518376 0 -0.9999848 0.005522191 2.45801e-6 -0.9999848 -0.9238634 0.3826884 -0.005105257 0.005518972 1.01782e-5 -0.9999848 -0.9238591 -0.3826985 -0.005105197 0.005514621 3.83175e-6 -0.9999848 -0.9999848 0 -0.005525887 0.005519032 -1.17224e-5 -0.9999848 -0.3826828 -0.9238774 -0.002112209 0.005518972 -1.36304e-5 -0.9999849 -0.923857 -0.3827039 -0.005099296 0 -1 0 -0.3826828 -0.9238775 -0.002112209 0.3826828 -0.9238774 0.00211519 0 -1 0 0.3826691 -0.9238831 0.002099871 0.6582466 -0.377964 -0.6510412 0.6582665 0.3779804 -0.6510116 0.6582525 0.3779433 -0.6510471 0.003615856 -0.7558156 -0.6547747 0.6582895 -0.3779572 -0.6510019 0.005518257 7.76996e-6 -0.9999848 -0.6510503 -0.3779622 -0.6582385 0.005518198 7.63429e-6 -0.9999848 0.003613412 -0.7558125 -0.6547782 0.005518615 -7.97162e-6 -0.9999848 -0.6510427 0.3779625 -0.6582459 0.005519032 -7.14947e-6 -0.9999848 -0.651046 -0.377951 -0.6582493 0.003615856 0.7558122 -0.6547784 -0.6510508 0.3779613 -0.6582388 0.003613412 0.7558152 -0.654775 0.6582711 -0.3779652 -0.6510158 0.658286 0.3779732 -0.6509959 0.6582763 0.3779472 -0.6510209 0.003615736 -0.7558315 -0.6547562 0.658298 -0.3779609 -0.6509912 -0.651054 -0.3779713 -0.6582298 0.003613352 -0.7558285 -0.6547597 -0.6510291 0.3779563 -0.658263 -0.6510372 -0.3779279 -0.6582713 0.003615736 0.7558292 -0.6547591 -0.6510757 0.3779489 -0.6582213 0.003613293 0.7558321 -0.6547555 -0.9999846 -5.04858e-4 -0.005521297 -0.9999848 2.30243e-6 -0.005515396 -0.9999848 2.71412e-4 -0.005517601 -0.9999848 1.40827e-5 -0.005515396 -0.999985 0 -0.005481839 -0.9999848 -4.01823e-7 -0.005516469 -0.9999848 -2.33935e-6 -0.005521595 -0.9999848 -8.47738e-7 -0.005522966 -0.9999829 -1.46251e-4 -0.00585097 -0.9999848 -5.87791e-7 -0.005519747 -0.9999848 -1.12333e-6 -0.005522131 -0.9999848 -3.57028e-7 -0.005516111 -0.9999848 0 -0.005516707 -0.9999849 3.39352e-6 -0.00550574 -0.9999848 6.98997e-6 -0.005515038 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9999848 -5.5709e-5 0.005516946 0.9999848 -1.43304e-5 0.005516409 0.9999849 6.21602e-6 0.005519986 0.9999847 -3.19222e-4 0.005518198 0.9999843 0 0.005581855 0.9999848 1.70136e-6 0.005515277 0.9999848 1.23221e-6 0.005522072 0.9999846 -2.46578e-5 0.00555551 0.9999847 -2.72505e-6 0.005521416 0.9999848 -6.69164e-7 0.005520105 0.9999848 -1.12333e-6 0.005522131 0.9999848 -3.29875e-7 0.0055148 0.9999848 0 0.005516588 0.9999849 3.64053e-6 0.005504786 0.9999848 7.58522e-6 0.0055148 0.005517125 -1.32733e-5 -0.9999848 0.005514621 -4.91881e-5 -0.9999848 0.005514621 -8.30862e-5 -0.9999848 0.005517303 -1.27799e-5 -0.9999848 0.005518198 0 -0.9999848 0.005518198 3.35823e-5 -0.9999848 0.005518198 -7.91448e-6 -0.9999848 0.005525648 5.90963e-6 -0.9999848 0.005521059 1.69347e-6 -0.9999848 0.005518972 -4.75761e-7 -0.9999848 0.005518376 -1.50873e-6 -0.9999848 0.005520701 4.11485e-6 -0.9999848 0.005518496 -6.42117e-6 -0.9999849 0.005518198 -9.87943e-6 -0.9999848 0.005517184 -3.39924e-5 -0.9999848 0.005516707 -1.4177e-5 -0.9999848 0.005517184 1.30525e-5 -0.9999848 0.005512535 0 -0.9999848 0.005517184 9.47027e-6 -0.9999847 0.005514621 -1.90431e-6 -0.9999849 0.005518376 4.14236e-7 -0.9999848 0.005520761 2.00052e-6 -0.9999847 0.005516588 7.67294e-7 -0.9999848 0.005518496 1.23429e-6 -0.9999848 0.005521595 2.52027e-4 -0.9999846 0.005517184 1.29652e-5 -0.9999848 -0.005512595 -2.4074e-5 0.9999848 -0.005518138 5.20409e-5 0.9999848 -0.005518138 1.01341e-5 0.9999848 -0.005517303 -1.27799e-5 0.9999848 -0.005517959 0 0.9999848 -0.005517959 2.57717e-5 0.9999848 -0.005517959 -9.22988e-6 0.9999848 -0.005568921 4.0447e-5 0.9999845 -0.005519151 -7.11263e-7 0.9999848 -0.005523502 3.23646e-6 0.9999848 -0.005518496 -1.83255e-6 0.9999847 -0.005520343 2.42372e-6 0.9999848 -0.005517959 -8.23909e-6 0.9999848 -0.005517184 -2.60899e-5 0.9999847 -0.005517065 6.38856e-6 0.9999848 -0.005517184 1.29637e-5 0.9999848 -0.005519449 0 0.9999848 -0.005517184 7.92097e-6 0.9999848 -0.005504488 1.53667e-5 0.9999848 -0.005520343 2.2911e-6 0.9999848 -0.005489468 -6.68416e-6 0.9999849 -0.005518496 1.5933e-6 0.9999848 -0.005518734 7.83239e-5 0.9999848 -0.005517184 -6.67476e-6 0.9999848 -0.9999849 0 -0.005497515 -0.9807183 -0.1953516 -0.005411326 0.005560696 -2.50063e-5 -0.9999846 -0.9807182 -0.1953521 -0.005411326 -0.9999848 0 -0.005514681 -0.9999849 3.66222e-6 -0.005506992 -0.7070955 -0.7071074 -0.00390172 -0.8316095 -0.5553419 -0.004588723 0.005540966 2.25415e-5 -0.9999847 -0.7070962 -0.7071067 -0.003901541 -0.5552815 -0.8316568 -0.003063857 0.005503177 -6.32935e-6 -0.9999849 -0.5552896 -0.8316515 -0.003064036 -0.8316022 -0.5553529 -0.004588544 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.002112686 -0.9237247 0.3830512 0.9999849 1.89243e-6 0.005508005 -0.002114534 -0.9237173 0.383069 -0.9999849 -2.30085e-6 -0.005507528 0 -1 0 0 -1 0 0 -1 0 0.04035955 -0.9991852 2.22693e-4 0 -1 0 0.04037666 -0.9991844 2.22829e-4 0.1770054 3.93535e-6 0.9842099 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.002114593 -0.923717 -0.3830695 -0.9999849 1.6736e-6 -0.005507767 0.002112627 -0.923725 -0.3830506 0.9999849 -2.5197e-6 0.005507707 0 -1 0 -0.1954251 -0.9807181 -0.001078307 0 -1 0 -0.1954272 -0.9807176 -0.001078307 0.005502343 -5.9795e-6 -0.9999849 0.7070955 -0.7071074 0.003901898 0.588726 -0.8083261 0.003248751 0.005543589 1.78241e-5 -0.9999846 0.7070955 -0.7071074 0.003901898 0.8316572 -0.5552703 0.004589319 0.005507349 6.24109e-7 -0.9999849 0.8316573 -0.5552704 0.004589319 0.5887261 -0.8083261 0.003248751 0.9999848 0 0.005519807 0.9999846 -2.1328e-5 0.005547881 0.9999848 0 0.005497634 0.9807183 -0.1953516 0.005411863 0.9807183 -0.1953522 0.005411863 0.005481004 -6.29687e-5 -0.9999849 0.005515456 8.71515e-6 -0.9999848 0.005517303 2.63129e-5 -0.9999848 0.005515456 0 -0.9999848 0.005515456 0 -0.9999848 0.005094707 -0.3830649 -0.9237074 0.9999847 -1.57056e-5 0.005520939 0.005094587 -0.3830662 -0.9237068 -0.9999848 1.51447e-5 -0.005521237 0.005520761 2.81561e-6 -0.9999848 0.005519151 -3.74096e-6 -0.9999848 0.005519151 -3.61819e-6 -0.9999848 0.005520761 2.68875e-6 -0.9999848 -0.005520045 1.06334e-5 0.9999847 -0.005517303 -1.58343e-5 0.9999848 -0.005520045 0 0.9999848 -0.005520045 0 0.9999848 -0.005098998 -0.3830649 0.9237074 -0.005098879 -0.3830662 0.9237068 0.9999848 1.51447e-5 0.005521237 -0.005520761 -2.68591e-6 0.9999848 -0.005518496 -1.00434e-4 0.9999848 -0.005519151 3.59166e-6 0.9999848 -0.005519151 3.59372e-6 0.9999848 -0.005518496 -1.0041e-4 0.9999847 -0.005520761 -2.68689e-6 0.9999848 -0.06039637 0.9981745 -3.33285e-4 0.05556815 2.8588e-5 0.998455 -0.06038457 0.9981752 -3.33249e-4 -0.2544925 0.9670737 -0.001404047 -0.005509972 0 0.9999848 -0.2544783 0.9670775 -0.001404285 0.05521857 0 0.9984742 -0.005509972 0 0.9999848 0.005509674 0 -0.9999849 0.005519032 7.65617e-6 -0.9999848 0.005509674 0 -0.9999849 0.06674319 0 -0.9977703 0.06641656 2.64098e-5 -0.997792 0.06674319 0 -0.9977702 0.3129646 -0.9497633 0.001726984 0.3129647 -0.9497632 0.001726984 0.1213605 -0.9926083 6.69703e-4 0.1213834 -0.9926055 6.69885e-4 0.05521857 0 0.9984743 1 0 0 0 0.3090295 -0.9510525 1 0 0 0 -0.3090298 -0.9510524 1 0 0 1 0 0 1 0 0 0 -0.3090298 -0.9510524 1 0 0 0 0.8090189 -0.5877826 1 0 0 1 0 0 1 0 0 1 0 0 0 0.3090295 -0.9510525 1 0 0 0 1 0 1 0 0 1 0 0 0 0.8090189 -0.5877826 1 0 0 0 0.8090204 0.5877805 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0.3090334 0.9510512 1 0 0 0 0.8090204 0.5877805 1 0 0 0 -0.3090337 0.9510511 1 0 0 1 0 0 1 0 0 0 0.3090334 0.9510512 1 0 0 0 -0.8090201 0.587781 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3090337 0.9510511 1 0 0 0 -1 0 1 0 0 1 0 0 0 -0.8090201 0.587781 1 0 0 0 -0.8090186 -0.5877831 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 1 0 0 0 -0.8090186 -0.5877831 1 0 0 0 0.500225 -0.8658955 1 0 0 -1.57118e-4 -0.5002257 -0.8658951 1 0 0 1 0 0 -0.1499342 -0.6991342 -0.6990929 0 -0.2587702 -0.9659389 1 0 0 3.24824e-5 1 0 1 0 0 -0.1501038 0.2558513 -0.9549916 -1.1196e-4 0.707127 -0.7070868 1 0 0 -1.48994e-4 0.500225 0.8658955 1 0 0 -0.1498453 0.9550146 -0.2559167 -1.80227e-5 0.9659204 0.2588391 1 0 0 0 -0.5002257 0.8658951 1 0 0 1 0 0 1 0 0 0 0.2587957 0.965932 -0.1499179 0.6991286 0.6991022 1 0 0 1.62412e-5 -1 0 -0.1501044 -0.2558507 0.9549916 -1.23443e-4 -0.707121 0.7070925 1 0 0 1 0 0 -0.1498321 -0.9550299 0.2558678 -3.37009e-5 -0.9659339 -0.2587892 0 -0.258598 -0.965985 -1.51695e-4 -0.9659906 -0.2585771 -0.1499141 -0.988699 0 0 -0.8660398 -0.499975 1 0 0 4.59414e-5 0.707126 -0.7070875 1 0 0 1 0 0 1 0 0 -0.1500409 -0.4943002 -0.8562447 -8.12059e-5 0 -1 1 0 0 -1.52554e-4 0.9659881 0.2585864 -0.149859 0.4943163 -0.8562673 -1.79103e-5 0.8660395 -0.4999758 1 0 0 0 0.2585989 0.9659848 1 0 0 0 0.8660194 0.5000105 -0.1499143 0.988699 0 2.56592e-5 -0.7071031 0.7071105 -0.1500859 0.4943686 0.8561974 -1.09628e-4 0 1 -0.1498184 -0.4943866 0.8562338 -1.71322e-5 -0.8660197 0.5000098 0 -0.8658935 -0.5002284 -1.53222e-4 -0.8658943 0.5002269 -0.1499282 -0.6990878 0.6991408 0 -0.9659339 0.2587892 0 0 -1 -0.1500989 -0.9549908 -0.2558574 -1.36747e-4 -0.7071236 -0.7070901 1 0 0 -1.53376e-4 0.8658935 -0.5002284 -0.1498439 -0.2558566 -0.955031 -4.58381e-5 0.2587896 -0.9659337 1 0 0 0 0.8658943 0.5002269 1 0 0 0 0.9659204 -0.2588391 -0.1499015 0.6991336 -0.6991005 1 0 0 2.84221e-5 0 1 -0.15007 0.9549817 0.2559079 -1.05148e-4 0.7070801 0.7071336 1 0 0 -0.1498657 0.2559472 0.9550032 -2.26009e-5 -0.2588595 0.965915 0 -0.965991 0.2585761 -1.43956e-4 -0.2585561 0.9659962 -0.1498965 0 0.9887017 0 -0.4999639 0.8660462 1.50743e-5 -0.707102 -0.7071116 -0.150064 -0.8562323 0.4943147 -1.14703e-4 -1 0 1 0 0 -1.43825e-4 0.2585561 -0.9659962 -0.1498436 -0.8562397 -0.4943687 -2.16003e-5 -0.4999639 -0.8660462 1 0 0 0 0.9659879 -0.2585873 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.4999632 -0.8660467 -0.1498965 0 -0.9887017 1 0 0 1.54275e-5 0.7071245 0.707089 -0.1500743 0.8562101 -0.49435 -1.14196e-4 1 0 -0.149855 0.8562604 0.4943293 -2.13497e-5 0.4999632 0.8660467 1 0 0 0 -0.5002173 0.8658999 1 0 0 -1.50626e-4 0.5002172 0.8658999 1 0 0 1 0 0 -0.1499131 0.6991163 0.6991155 0 0.2588325 0.9659222 1 0 0 3.24824e-5 -1 0 1 0 0 -0.1500703 -0.2559015 0.9549835 -1.13405e-4 -0.7071066 0.707107 1 0 0 -1.38447e-4 -0.50022 -0.8658984 1 0 0 -0.1498445 -0.9550166 0.2559101 -1.48709e-5 -0.9659187 -0.2588458 1 0 0 0 0.5002198 -0.8658984 1 0 0 0 -0.2588326 -0.9659222 -0.1499224 -0.6991411 -0.6990886 1 0 0 3.27361e-5 1 0 1 0 0 -0.1500722 0.2559012 -0.9549832 -1.03172e-4 0.707134 -0.7070796 -0.1498487 0.9550122 -0.2559239 -1.83006e-5 0.9659219 0.2588332 0 0.2585787 0.9659903 -1.47093e-4 0.96599 0.2585794 -0.1499141 0.9886991 0 0 0.8660197 0.5000098 1 0 0 2.13531e-5 -0.7071051 0.7071085 1 0 0 1 0 0 -0.150086 0.4943514 0.8562073 -1.15718e-4 0 1 1 0 0 -1.46183e-4 -0.9659892 -0.2585822 1 0 0 -0.1498327 -0.494374 0.8562386 -2.25878e-5 -0.8660194 0.5000105 1 0 0 0 -0.2585797 -0.96599 0 -0.8660177 -0.5000134 -0.1499143 -0.988699 0 2.2789e-5 0.7071067 -0.7071069 -0.1500838 -0.49435 -0.8562085 -1.13688e-4 0 -1 -0.149838 0.4943652 -0.8562427 -2.63874e-5 0.8660181 -0.5000128 0 0.8658935 0.5002284 -1.40177e-4 0.8659056 -0.5002074 -0.1499003 0.6991372 -0.6990974 0 0.9659204 -0.2588391 2.63919e-5 0 1 -0.1500706 0.9549816 0.2559078 -1.06581e-4 0.7070801 0.7071336 1 0 0 -1.56434e-4 -0.8658916 0.5002317 -0.1498676 0.2559472 0.955003 -2.52171e-5 -0.2588574 0.9659156 1 0 0 0 -0.8659037 -0.5002106 1 0 0 0 -0.9659204 0.2588391 -0.1499075 -0.6991166 0.6991166 1 0 0 2.63919e-5 0 -1 -0.1500658 -0.9549824 -0.2559081 -1.19883e-4 -0.7071537 -0.70706 1 0 0 1 0 0 -0.1498152 -0.2558495 -0.9550374 -2.03478e-5 0.2587834 -0.9659354 0 0.965991 -0.2585761 -1.43169e-4 0.2585561 -0.9659962 -0.1498965 0 -0.9887017 0 0.4999639 -0.8660462 1.50743e-5 0.707102 0.7071116 -0.1500878 0.8562076 -0.4943502 -1.14703e-4 1 0 1 0 0 -1.43825e-4 -0.2585561 0.9659962 -0.1498436 0.8562397 0.4943687 -2.16003e-5 0.4999639 0.8660462 1 0 0 0 -0.965991 0.2585761 1 0 0 1 0 0 0 -0.4999676 0.8660441 -0.1498965 0 0.9887017 1 0 0 1.54332e-5 -0.707102 -0.7071116 -0.150087 -0.8562085 0.494349 -1.14196e-4 -1 0 1 0 0 -0.149844 -0.8562403 -0.4943674 -2.28809e-5 -0.4999676 -0.8660441 0 0.8660232 0.5000039 1.27664e-4 0.8660143 -0.5000194 0 0.8658993 -0.5002183 -2.31797e-5 0 1 1.38397e-4 0.8658986 0.5002196 1 0 0 1.36459e-4 -0.8660335 0.499986 -2.31797e-5 0 1 1 0 0 0 -0.8660246 -0.5000015 0 -0.8659107 0.5001987 -4.47038e-5 0 -1 1 0 0 1.25667e-4 -0.8659114 -0.5001974 -4.47038e-5 0 -1 0 0.8660217 0.5000064 1.43396e-4 0.8660225 -0.5000051 0 0.8658933 -0.5002287 -1.32456e-5 0 1 1.43371e-4 0.8658926 0.5002299 1.41426e-4 -0.866032 0.4999886 -1.32456e-5 0 1 1 0 0 0 -0.8660328 -0.4999873 0 -0.8659047 0.5002089 1 0 0 -1.32456e-5 0 -1 1.41402e-4 -0.8659055 -0.5002077 -1.32456e-5 0 -1 0 0.8660217 0.5000064 1.43575e-4 0.8660225 -0.5000051 0 0.8658932 -0.5002289 -1.32456e-5 0 1 1.43553e-4 0.8658925 0.5002302 1.43577e-4 -0.8660322 0.4999883 -1.32456e-5 0 1 0 -0.866033 -0.499987 0 -0.865903 0.500212 -1.32456e-5 0 -1 1.43552e-4 -0.8659037 -0.5002108 1 0 0 -1.32456e-5 0 -1 1 0 0 0 0.8660232 0.5000039 1 0 0 1.27844e-4 0.8660143 -0.5000194 1 0 0 0 0.8658992 -0.5002186 1 0 0 -2.31797e-5 0 1 1.38579e-4 0.8658984 0.5002199 1.3861e-4 -0.8660337 0.4999857 -2.31797e-5 0 1 0 -0.8660247 -0.5000012 0 -0.8659089 0.5002017 -4.47038e-5 0 -1 1.27817e-4 -0.8659097 -0.5002005 -4.47038e-5 0 -1 0.9238727 0 -0.3826999 0 -1 0 0 -1 0 0 -1 0 0.9238727 0 -0.3826999 0 1 0 0 1 0 0 0.989099 -0.1472513 0 1 0 0 0.9179191 -0.3967676 0 0.989099 -0.1472513 0 0.7848185 -0.6197257 0 0.9179191 -0.3967676 0 0.5988334 -0.8008737 0 0.7848185 -0.6197257 1 0 0 0 0.3725704 -0.928004 1 0 0 0 0.5988334 -0.8008737 1 0 0 0 0.1210185 -0.9926502 0 0.3725704 -0.928004 0 -0.1384173 -0.990374 0 0.1210185 -0.9926502 0 -0.3887985 -0.9213228 0 -0.1384173 -0.990374 0 -0.6127949 -0.790242 0 -0.3887985 -0.9213228 0 -0.7955662 -0.6058667 0 -0.6127949 -0.790242 0 -0.9247384 -0.3806033 0 -0.7955662 -0.6058667 0 -0.9915293 -0.1298822 0 -0.9247384 -0.3806033 0 -0.9915293 -0.1298822 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6786069 -0.2810404 -0.6786081 -0.6527203 0.2898822 -0.6999461 -1 0 0 -0.6947496 0.1861304 -0.6947507 -1 0 0 -0.6526167 -0.6999952 -0.289997 -0.717933 -0.4922402 -0.4922112 -0.6120399 -0.2046425 -0.7638906 -1 0 0 -0.6785326 -0.678637 0.28115 -1 0 0 -0.6946943 -0.6948013 -0.1861484 -1 0 0 -0.6527183 -0.2898787 0.6999494 -0.7179322 -0.4922361 0.4922163 -0.6118444 -0.7640326 0.2046965 -1 0 0 -0.6786038 0.2810455 0.6786092 -1 0 0 -1 0 0 -1 0 0 -0.6947473 -0.1861305 0.6947529 -1 0 0 -0.6526206 0.6999874 0.2900069 -1 0 0 -0.6120496 0.2046607 0.7638778 -0.7179328 0.4922351 0.4922165 -1 0 0 -0.6785303 0.6786355 -0.2811594 -1 0 0 -1 0 0 -0.6946889 0.6947966 0.1861857 -1 0 0 -0.7179335 0.4922392 -0.4922114 -0.6118645 0.764007 -0.2047321 -0.6786076 -0.6785737 -0.2811219 -0.6527337 -0.289963 -0.6999001 -0.6947356 -0.3596037 -0.6229187 -0.6526241 -0.7000241 0.2899106 -0.7179378 -0.6961072 0 -0.6120869 -0.6848561 -0.3953755 -0.6785432 -0.2810541 0.6786661 -0.6946969 -0.6229302 0.3596584 -1 0 0 -0.652731 0.2899646 0.6999021 -1 0 0 -0.71794 0 0.696105 -0.6118471 -0.3955119 0.6849915 -1 0 0 -0.6786134 0.6785681 0.2811214 -1 0 0 -0.6947559 0.3596462 0.6228715 -1 0 0 -0.6526233 0.7000252 -0.2899098 -0.6120738 0.6848486 0.3954086 -0.7179377 0.6961074 0 -1 0 0 -0.6785279 0.2810623 -0.6786781 -1 0 0 -0.6946856 0.6229539 -0.3596394 -0.7179422 0 -0.6961027 -0.611878 0.3954463 -0.6850019 -0.6786075 -0.6786069 0.281042 -0.6527226 -0.6999449 -0.2898797 -0.6947499 -0.6947494 -0.1861345 -0.6526244 -0.2899907 0.6999905 -0.7179364 -0.4922046 0.4922419 -0.6120513 -0.7638779 0.2046552 -1 0 0 -0.6785264 0.2811467 0.6786447 -0.6946799 -0.1862026 0.694801 -1 0 0 -0.6527332 0.6999367 0.2898756 -1 0 0 -0.7179425 0.4922001 0.4922375 -0.6118904 0.204752 0.7639809 -1 0 0 -0.6786073 0.6786068 -0.2810426 -0.6947449 0.6947444 0.1861717 -1 0 0 -0.652611 0.2899958 -0.700001 -1 0 0 -0.6120816 0.7638447 -0.2046886 -0.7179368 0.4922345 -0.4922114 -0.6785259 -0.2811489 -0.6786442 -0.6946869 0.1861504 -0.694808 -0.7179307 -0.4922391 -0.4922158 -0.6118314 -0.2046906 -0.7640446 -0.6786001 -0.2811285 0.6785785 -0.6527295 -0.6999082 0.2899528 -0.6947423 -0.6229061 0.3596124 -1 0 0 -0.6526242 0.2899008 0.7000281 -0.7179401 0 0.696105 -0.6120902 -0.3953655 0.6848589 -1 0 0 -0.6785266 0.6786805 0.2810595 -0.694684 0.359631 0.6229604 -1 0 0 -0.6527196 0.6999161 -0.2899561 -1 0 0 -0.7179293 0.6961162 0 -0.6118648 0.6850048 0.3954614 -1 0 0 -0.6786093 0.2811157 -0.6785747 -0.6947459 0.6228881 -0.3596368 -0.6526311 -0.2899118 -0.700017 -1 0 0 -1 0 0 -0.6120924 0.3953641 -0.6848578 -0.7179465 0 -0.6960983 -0.6785306 -0.6786694 -0.2810763 -0.6946841 -0.3596315 -0.62296 -0.7179376 -0.6961075 0 -0.6118595 -0.6849907 -0.3954944 -0.6786071 0.2810447 0.678606 -0.6527303 -0.289879 0.6999382 -0.6947458 -0.1861668 0.6947447 -1 0 0 -0.6526185 0.6999901 0.2900053 -0.717933 0.492226 0.4922253 -0.6120764 0.2046843 0.76385 -1 0 0 -0.6785292 0.6786366 -0.2811592 -0.6946883 0.6947983 0.1861816 -1 0 0 -0.6527281 0.2898786 -0.6999403 -0.7179353 0.4922429 -0.492205 -0.611868 0.7640027 -0.2047373 -1 0 0 -0.6786052 -0.2810437 -0.6786085 -1 0 0 -1 0 0 -0.6947435 0.1861672 -0.6947469 -1 0 0 -0.6526234 -0.6999857 -0.2900048 -1 0 0 -0.6120752 -0.2046847 -0.7638508 -0.7179358 -0.4922421 -0.4922051 -1 0 0 -0.6785304 -0.6786355 0.2811588 -1 0 0 -1 0 0 -0.6946883 -0.6947959 -0.1861906 -1 0 0 -0.7179335 -0.4922252 0.4922254 -0.6118609 -0.7640112 0.2047275 -0.6786034 0.6785784 0.2811207 -0.652727 0.2899582 0.6999083 -0.6947494 0.3596369 0.6228843 -0.652611 0.7000389 -0.2899043 -0.7179293 0.6961161 0 -0.6120577 0.6848597 0.3954143 -0.6785277 0.2810582 -0.67868 -0.6946895 0.6229354 -0.359664 -1 0 0 -0.6527221 -0.2899571 -0.6999135 -1 0 0 -0.7179293 0 -0.6961161 -0.6118417 0.395498 -0.6850044 -1 0 0 -0.6786112 -0.6785708 -0.2811204 -1 0 0 -1 0 0 -0.6947473 -0.3596367 -0.6228866 -1 0 0 -0.6526218 -0.7000305 0.2899002 -0.6120663 -0.6848524 -0.3954139 -0.7179377 -0.6961074 0 -1 0 0 -0.6785339 -0.2810698 0.6786689 -1 0 0 -0.6946976 -0.6229293 0.3596584 -0.7179378 0 0.6961072 -0.6118553 -0.3954995 0.6849913 -0.6786075 0.6786069 -0.281042 -0.6527329 0.6999368 0.2898764 -0.6947449 0.6947444 0.1861717 -0.6526153 0.2900056 -0.6999929 -0.7179371 0.4922366 -0.4922088 -0.612082 0.7638444 -0.2046885 -0.678534 -0.281157 -0.6786328 -0.6946979 0.1861433 -0.694799 -1 0 0 -0.6527316 -0.699938 -0.2898762 -1 0 0 -0.7179331 -0.4922581 -0.492193 -0.6118279 -0.2046847 -0.764049 -1 0 0 -0.6786059 -0.6786081 0.2810431 -1 0 0 -0.6947434 -0.6947457 -0.186172 -1 0 0 -0.6526231 -0.2899925 0.6999911 -0.6120797 -0.7638461 0.204689 -0.7179377 -0.4922223 0.4922223 -0.6785261 0.2811482 0.6786443 -0.6946801 -0.186201 0.6948012 -0.7179416 0.4922006 0.492238 -0.6118889 0.2047522 0.7639821 -0.6786084 0.2811124 -0.6785768 -0.6527252 0.699907 -0.2899655 -0.694746 0.6228874 -0.3596376 -1 0 0 -0.6526237 -0.2899003 -0.7000288 -0.71794 0 -0.696105 -0.6120902 0.3953655 -0.6848589 -1 0 0 -0.6785302 -0.6786736 -0.2810674 -1 0 0 -0.6946852 -0.3596336 -0.6229575 -1 0 0 -0.6527269 -0.6999071 0.2899612 -1 0 0 -0.7179378 -0.6961072 0 -0.61185 -0.6849976 -0.3954971 -1 0 0 -0.6786003 -0.2811297 0.6785777 -0.6947463 -0.6228875 0.3596366 -0.6526249 0.2899021 0.7000269 -0.6120889 -0.3953688 0.6848582 -0.7179411 0 0.6961039 -0.6785291 0.6786739 0.2810695 -0.6946841 0.3596315 0.62296 -0.7179377 0.6961075 0 -0.6118491 0.6849976 0.3954983 -1 0 0 0 0.9807736 -0.1951489 -1 0 0 0 0.9659084 0.2588842 -1 0 0 0 0.9659084 0.2588842 -1 0 0 0 0.4424073 -0.8968144 -1 0 0 -1 0 0 0 0.9807736 -0.1951489 -1 0 0 0 0 -1 -1 0 0 0 0.4424073 -0.8968144 -1 0 0 0 -0.3826604 -0.9238891 -1 0 0 0 0 -1 -1 0 0 0 -0.923881 -0.3826799 0 -0.3826604 -0.9238891 -1 0 0 0 -1 0 -1 0 0 0 -0.923881 -0.3826799 -1 0 0 0 -0.887027 0.4617174 0 -1 0 -1 0 0 0 -0.1305786 0.9914379 0 -0.887027 0.4617174 -1 0 0 0 0.7372658 0.6756029 -1 0 0 -1 0 0 0 -0.1305786 0.9914379 -1 0 0 0 0.7372658 0.6756029 -1 0 0 0 0 -1 -1 0 0 0 0.4423927 -0.8968214 -1 0 0 0 0.4423927 -0.8968214 0 -0.4423637 -0.8968358 0 0 -1 0 -0.9807515 -0.1952599 0 -0.4423637 -0.8968358 -1 0 0 0 -0.9659431 0.2587544 -1 0 0 -1 0 0 0 -0.9807515 -0.1952599 -1 0 0 0 -0.7660981 0.6427237 -1 0 0 0 -0.9659431 0.2587544 -1 0 0 0 -7.05183e-5 1 0 -0.7660981 0.6427237 -1 0 0 0 0.7660084 0.6428306 -1 0 0 0 -7.05183e-5 1 -1 0 0 0 0.9659082 0.2588851 -1 0 0 0 0.7660084 0.6428306 -1 0 0 0 0.9807747 -0.1951433 -1 0 0 -1 0 0 0 0.9659082 0.2588851 -1 0 0 -1 0 0 0 0.9807747 -0.1951433 0 0.7660793 -0.642746 0 0.9659438 -0.2587517 0 0.9659438 -0.2587517 0 7.05172e-5 -1 0 0.7660793 -0.642746 0 -0.7660006 -0.64284 0 7.05172e-5 -1 0 -0.9659083 -0.2588846 0 -0.7660006 -0.64284 -1 0 0 0 -0.9807744 0.1951449 0 -0.9659083 -0.2588846 -1 0 0 0 -0.4423986 0.8968185 0 -0.9807744 0.1951449 0 0 1 0 -0.4423986 0.8968185 -1 0 0 0 0.4423854 0.8968251 -1 0 0 0 0 1 -1 0 0 0 0.9807525 0.1952551 0 0.4423854 0.8968251 -1 0 0 0 0.9807525 0.1952551 0 -0.9807743 0.1951454 0 -0.9659084 -0.2588843 0 -0.9659084 -0.2588843 0 -0.4424129 0.8968114 0 -0.9807743 0.1951454 0 0 1 0 -0.4424129 0.8968114 0 0.4423711 0.896832 0 0 1 0 0.9807525 0.1952551 0 0.4423711 0.896832 -1 0 0 0 0.9659433 -0.2587541 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.9807525 0.1952551 -1 0 0 0 0.7660793 -0.642746 -1 0 0 0 0.9659433 -0.2587541 -1 0 0 0 7.05197e-5 -1 0 0.7660793 -0.642746 0 -0.7659975 -0.6428435 0 7.05197e-5 -1 0 -0.7659975 -0.6428435 0 -0.7373234 0.6755401 0 -0.9659439 0.2587516 0 -0.9659439 0.2587516 0 0.1305118 0.9914468 0 -0.7373234 0.6755401 0 0.887005 0.4617598 0 0.1305118 0.9914468 -1 0 0 0 1 0 0 0.887005 0.4617598 -1 0 0 0 0.923881 -0.3826799 0 1 0 -1 0 0 0 0.3826466 -0.9238947 0 0.923881 -0.3826799 -1 0 0 0 0 -1 0 0.3826466 -0.9238947 0 -0.4423631 -0.8968361 0 0 -1 0 -0.9807524 -0.1952553 0 -0.4423631 -0.8968361 0 -0.9807524 -0.1952553 -0.7071048 0 0.7071087 0 0.7071042 0.7071095 0 0.7071042 0.7071095 0 1 0 0 1 0 0 1 0 0 -1 0 0 -0.7070955 0.7071179 -0.7071048 0 0.7071087 -1 0 0 0 -1 0 1 0 0 0 -1 0 0 -0.7070956 0.707118 1 0 0 0 0 -1 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3826978 0 -0.9238736 0 0 -1 0 0 -1 0.3826978 0 -0.9238736 0 0 1 0.2810733 -0.6785602 0.6786411 0 0 1 0 -0.7070646 0.7071489 0 -0.7070646 0.7071489 0 0 1 0.6785916 -0.2810758 0.6786088 0 0 1 0.2810726 -0.678566 0.6786358 0 0 1 0.7071068 0 0.7071068 0 0 1 0.6785983 -0.2810848 0.6785983 0 0 1 0.6785995 0.2810791 0.6785995 0.7071068 0 0.7071068 0 0 1 0.281075 0.6785643 0.6786364 0.6785884 0.2810806 0.67861 0 0 1 0 0.7070646 0.7071489 0.2810705 0.6785609 0.6786417 0 0 1 1 0 0 1 0 0 0 0.7070646 0.7071489 1 0 0 1 0 0 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 0 1 0 0 0 0 -1 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 1 -0.8658986 0.5002196 0 -0.8658987 -0.5002194 0 -0.8658987 -0.5002194 0 0 1 0 -0.8658986 0.5002196 0 0.8658975 0.5002213 0 0 1 0 0.8658977 -0.500221 0 0.8658975 0.5002213 0 0 0 -1 0 -1 0 0.8658977 -0.500221 0 0 0 -1 0 -1 0 -0.8658896 0.500235 0 0 0 -1 -0.865899 -0.5002189 0 -0.865899 -0.5002189 0 0 1 0 -0.8658896 0.500235 0 0.8658887 0.5002367 0 0 1 0 0.865898 -0.5002205 0 0.8658887 0.5002367 0 0 -1 0 0.865898 -0.5002205 0 0 0 -1 0 -1 0 -0.865899 0.5002189 0 0 0 -1 -0.8658896 -0.500235 0 0 0 -1 -0.8658896 -0.500235 0 0 1 0 -0.865899 0.5002189 0 0.865898 0.5002205 0 0 1 0 0.8658887 -0.5002367 0 0.865898 0.5002205 0 0 -1 0 0.8658887 -0.5002367 0 0 0 -1 0 -1 0 -0.8658987 0.5002194 0 -0.8658986 -0.5002196 0 -0.8658986 -0.5002196 0 0 1 0 -0.8658987 0.5002194 0 0.8658977 0.500221 0 0 1 0 0.8658975 -0.5002213 0 0.8658977 0.500221 0 0 -1 0 0.8658975 -0.5002213 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.382685 -0.9238788 0 0.382685 -0.9238788 0 0.382685 0.9238788 0 0.9238795 0.3826836 0 0.382685 0.9238788 0 1 0 0 0.9238795 0.3826836 0 0.9238795 -0.3826836 0 1 0 0 0.9238795 -0.3826836 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0.7071068 0.7071068 0 0 0 1 0 1 0 0 0 1 0.7071068 0.7071068 0 0 0 1 1 0 0 0 0 1 0 0 1 1 0 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 0 1 0 -1 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 -0.7071068 -0.7071068 0 0 0 1 -1 0 0 0 0 1 0 0 1 -1 0 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 0 0 1 0 0 1 0 0 1 0 1 0 -0.975581 0.2196401 0 -0.6601402 0.7511424 8.43516e-5 -0.6601157 0.751164 0 -0.9183672 -0.3957296 6.57693e-5 -0.975588 0.2196088 8.2495e-5 -0.5103671 -0.8599566 1.63502e-4 -0.9184199 -0.3956071 -2.77929e-4 0.092565 -0.9957066 -3.01482e-4 -0.5103755 -0.8599517 1.38483e-4 0.6601402 -0.7511424 8.43516e-5 0.09270679 -0.9956934 6.51823e-5 0.975581 -0.2196401 0 0.6601157 -0.751164 0 0.9183672 0.3957296 6.57693e-5 0.975588 -0.2196089 8.24585e-5 0.5103671 0.8599566 1.63502e-4 0.9184199 0.3956071 -2.77929e-4 -0.092565 0.9957066 -3.01482e-4 0.5103755 0.8599517 1.38483e-4 -0.09270679 0.9956934 6.51823e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9898195 0.142329 0 -0.5990962 0.8006771 6.50509e-5 -0.5989716 0.8007702 0 -0.8005542 -0.5992603 -3.79582e-5 -0.9898416 0.1421743 6.53337e-5 -0.1425264 -0.989791 2.91999e-5 -0.8004622 -0.5993833 2.61958e-5 0.5990962 -0.8006771 6.50509e-5 -0.1426878 -0.9897677 -3.89471e-5 0.9898195 -0.142329 0 0.5989716 -0.8007702 0 0.8005542 0.5992603 -3.79582e-5 0.9898416 -0.1421743 6.53349e-5 0.1425264 0.989791 2.91999e-5 0.8004622 0.5993833 2.61958e-5 0.1426878 0.9897677 -3.89471e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0.5773005 0.5773854 0.577365 1 0 0 0.5773658 -0.5773528 0.5773321 0.5773069 -0.5773724 0.5773714 0.5773578 0.577346 -0.577347 0.5773586 0.5773467 0.5773456 0.5773591 -0.5773454 -0.5773462 0.5773591 0.5773456 -0.5773462 0.5773586 -0.5773458 -0.5773465 -1 0 0 -0.5773994 0.5773252 -0.5773262 -1 0 0 -0.5773987 -0.5773257 -0.5773264 -0.5773993 -0.5773255 -0.5773261 -0.5774051 0.5773331 0.5773126 -0.5773981 0.5773261 -0.5773267 -0.5773406 -0.5773655 0.5773448 -0.577347 0.5773525 0.5773513 -0.5773994 -0.5773263 0.5773252 0 0.7071074 0.7071061 0 0.7071074 0.7071061 0 -0.7071074 0.7071061 0 0.7071064 -0.7071073 0 0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071074 0.7071061 1 0 0 0.5773327 0.5773639 0.5773543 1 0 0 0.5773622 -0.5773493 0.5773394 0.5773356 -0.5773582 0.5773571 0.5773599 0.5773481 -0.5773428 0.5773586 0.5773467 0.5773456 0.5773398 -0.5773584 -0.5773527 0.5773419 0.5773542 -0.5773548 0.5773586 -0.5773458 -0.5773465 -1 0 0 -0.57738 0.577338 -0.5773327 -1 0 0 -0.5774009 -0.5773277 -0.5773221 -0.577382 -0.577334 -0.5773347 -0.5774016 0.5773295 0.5773198 -0.5773981 0.5773261 -0.5773267 -0.5773727 -0.577344 0.5773341 -0.5773757 0.5773381 0.577337 -0.5773994 -0.5773263 0.5773252 0 0.7071074 0.7071061 0 0.7071074 0.7071061 0 -0.7071074 0.7071061 0 0.7071064 -0.7071073 0 0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071074 0.7071061 1 0 0 0.5773394 0.5773504 0.5773609 1 0 0 0.5773614 -0.5773495 0.5773399 0.5773356 -0.5773582 0.5773571 0.5772994 0.5773683 -0.5773831 0.5773048 0.5773736 0.5773725 0.5773399 -0.5773582 -0.5773528 0.5773419 0.5773542 -0.5773548 0.5773578 -0.5773462 -0.5773468 -1 0 0 -0.5773867 0.5773246 -0.5773395 -1 0 0 -0.5774002 -0.577328 -0.5773227 -0.577382 -0.577334 -0.5773347 -0.577341 0.5773497 0.5773602 -0.5773443 0.577353 -0.5773536 -0.5773729 -0.5773438 0.5773341 -0.5773757 0.5773381 0.577337 -0.5773985 -0.5773267 0.5773256 0 0.7071074 0.7071061 0 0.7071074 0.7071061 0 -0.7071074 0.7071061 0 0.7071064 -0.7071073 0 0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071074 0.7071061 1 0 0 0.5773072 0.577372 0.5773717 1 0 0 0.577365 -0.5773532 0.5773327 0.5773069 -0.5773724 0.5773714 0.5772973 0.5773662 -0.5773874 0.5773048 0.5773736 0.5773725 0.5773592 -0.5773453 -0.5773464 0.5773591 0.5773456 -0.5773462 0.5773578 -0.5773462 -0.5773468 -1 0 0 -0.5774061 0.5773117 -0.577333 -1 0 0 -0.577398 -0.5773259 -0.5773269 -0.5773993 -0.5773255 -0.5773261 -0.5773447 0.5773533 0.577353 -0.5773443 0.577353 -0.5773536 -0.5773406 -0.5773653 0.5773448 -0.577347 0.5773525 0.5773513 -0.5773985 -0.5773267 0.5773256 0 0.7071074 0.7071061 0 0.7071074 0.7071061 0 -0.7071074 0.7071061 0 0.7071064 -0.7071073 0 0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071064 -0.7071073 0 -0.7071074 0.7071061 0 -1 0 0.5047639 0 -0.8632575 0 -1 0 -0.4951196 0.01815652 -0.8686351 -0.3775925 0 -0.9259719 0 -1 0 0.9996882 0.02435237 0.005511879 0.4207227 0.01720744 -0.9070261 0.9069404 -0.01668477 -0.4209284 0 -1 0 0.4951424 0.0181601 0.8686221 0 -1 0 0 -1 0 0 -1 0 0.9216793 -0.01228421 0.387758 0 -1 0 -0.504786 0 0.8632446 0.3775925 0 0.9259718 0 -1 0 -0.9996883 0.02435237 -0.005511283 -0.9069291 -0.01668488 0.4209527 -0.4207465 0.01720762 0.9070151 0 -1 0 0 -1 0 -0.9216793 -0.01228636 -0.3877581 0 -1 0 0.504764 0 -0.8632574 0 -1 0 -0.4951426 0.01816016 -0.8686219 -0.3775925 0 -0.9259719 0 -1 0 0.9996882 0.02435243 0.005511283 0.4207308 0.01720589 -0.9070222 0.9069324 -0.01668643 -0.4209457 0 -1 0 0.4951426 0.0181601 0.8686218 0 -1 0 0 -1 0 0.9216793 -0.01228421 0.3877581 0 -1 0 -0.5047639 0 0.8632575 0.3775931 0 0.9259716 0 -1 0 -0.9996882 0.02435237 -0.005511879 -0.9069404 -0.01668477 0.4209284 -0.4207228 0.0172075 0.9070261 0 -1 0 -0.9216794 -0.01228421 -0.3877578 0 -1 0 0.8632652 0 0.5047506 0 -1 0 0.8687657 0 -0.4952235 0 -1 0 0 -1 0 0.8687657 0 -0.4952235 0 -1 0 -0.005516767 0 0.9999848 0 -1 0 0.8632652 0 0.5047506 0 -1 0 -0.8687724 0 0.4952115 -0.005516767 0 0.9999848 0 -1 0 -0.8632439 0 -0.5047872 0 -1 0 0 -1 0 -0.8687724 0 0.4952115 0 -1 0 0.005516946 0 -0.9999848 0 -1 0 -0.8632439 0 -0.5047872 0 -1 0 0.005516946 0 -0.9999848 0.8632459 0 0.5047837 0 -1 0 0.8687749 0 -0.4952072 0.8687749 0 -0.4952072 0 -1 0 -0.005520403 0 0.9999848 0.8632459 0 0.5047837 0 -1 0 -0.868768 0 0.4952191 -0.005520403 0 0.9999848 0 -1 0 -0.8632518 0 -0.5047734 0 -1 0 0 -1 0 -0.868768 0 0.4952191 0 -1 0 0.005516052 0 -0.9999848 0 -1 0 -0.8632518 0 -0.5047734 0 -1 0 0.005516052 0 -0.9999848 0.8632459 0 0.5047837 0 -1 0 0.8687728 0 -0.4952108 0 -1 0 0.8687728 0 -0.4952108 -0.005516052 0 0.9999848 0.8632459 0 0.5047837 -0.868766 0 0.4952229 -0.005516052 0 0.9999848 0 -1 0 -0.8632651 0 -0.5047507 0 -1 0 -0.868766 0 0.4952229 0 -1 0 0.005515933 0 -0.9999848 0 -1 0 -0.8632651 0 -0.5047507 0.005515933 0 -0.9999848 0.8632529 0 0.5047717 0 -1 0 0.8687659 0 -0.4952231 0.8687659 0 -0.4952231 -0.005516052 0 0.9999848 0.8632529 0 0.5047717 -0.8687726 0 0.4952111 -0.005516052 0 0.9999848 -0.8632579 0 -0.5047632 -0.8687726 0 0.4952111 0 -1 0 0.005515933 0 -0.9999848 -0.8632579 0 -0.5047632 0.005515933 0 -0.9999848 0 -1 0 0.005519807 0 -0.9999848 0 -1 0 0.7109944 0 -0.7031977 0.005519807 0 -0.9999848 0 -1 0 0.3878377 0 -0.9217277 0 -1 0 0 -1 0 0.9259453 0 -0.3776576 0 -1 0 0.3878377 0 -0.9217277 0 -1 0 0.9999849 0 0.005518198 0 -1 0 0.9999849 0 0.005518198 0.9259453 0 -0.3776576 0 -1 0 0.9259545 0 -0.3776354 0 -1 0 0.3878157 -0.01082885 -0.9216734 0 -1 0 0.9258746 -0.009653508 -0.3777076 0.6952208 0.005677998 -0.7187739 0.9917352 -0.02827787 -0.125147 0.005516648 0 -0.9999848 0.2466417 0 -0.9691067 0 -1 0 -0.3776311 0 -0.9259561 0 -1 0 0.004471838 6.283e-4 -0.9999898 0.00553596 -1.35825e-5 -0.9999848 0.005517184 0 -0.9999849 0.005494177 1.66077e-5 -0.9999849 0.005518674 -3.97767e-6 -0.9999848 0.005494177 4.01154e-5 -0.9999849 0.005613029 -1.77772e-4 -0.9999842 0.005528211 -1.82896e-5 -0.9999848 0 -1 0 -0.9216853 -0.009656071 -0.3878182 0 -1 0 0 -1 0 0 -1 0 -0.6872506 0.005678892 -0.7263983 -0.2398501 -0.01700967 -0.9706609 -0.9999848 0 -0.005525887 -0.9999848 0 -0.005525887 -0.9906796 0 -0.1362128 -0.9216628 -0.009660303 -0.3878718 0 -1 0 -0.9217272 0 -0.3878387 0 -1 0 0 -1 0 -0.3776354 0 -0.9259545 0 -1 0 -0.9217272 0 -0.3878387 0 -1 0 0.005513072 0 -0.9999848 0 -1 0 0 -1 0 0.005513072 0 -0.9999848 -0.3776354 0 -0.9259545 -0.9999847 -1.5759e-6 -0.005517721 -0.9999848 0 -0.005527436 -0.9999848 -5.45409e-6 -0.005513966 -0.9999848 -1.74401e-6 -0.005517661 -0.7109983 0 0.7031936 -0.9999848 1.74722e-6 -0.005516886 -0.9999848 0 -0.005517721 -0.7109983 0 0.7031936 -0.005508065 0 0.9999849 -0.005508065 0 0.9999849 -0.3878586 0 0.9217188 -0.9259433 0 0.3776625 -0.3878586 0 0.9217188 -0.9999848 0 -0.005515336 -0.9999848 0 -0.005515336 -0.9259433 0 0.3776625 -0.9259545 0 0.3776354 -0.3878152 -0.01083183 0.9216735 -0.9258746 -0.009653508 0.3777076 -0.6952433 0.005676865 0.7187521 -0.9917352 -0.02827787 0.125147 -0.005518615 0 0.9999848 -0.2466003 0 0.9691173 0.377659 0 0.9259448 -0.005530357 -2.11935e-5 0.9999848 -0.005493044 4.74578e-5 0.9999849 -0.005510389 1.31254e-5 0.9999848 -0.005518019 1.6363e-6 0.9999848 -0.006284475 -4.60551e-4 0.9999802 -0.005504488 9.95544e-6 0.9999849 -0.005518257 0 0.9999848 -0.005530357 -8.73824e-6 0.9999848 0 -1 0 0.9216839 -0.009657502 0.3878216 0.6872323 0.005677402 0.7264155 0.2398955 -0.01700788 0.9706497 0.9999848 0 0.005520939 0.9999848 0 0.005520939 0.9906913 0 0.136128 0.9216364 -0.009666502 0.3879345 0.9217262 0 0.3878413 0.3776364 0 0.9259539 0.9217262 0 0.3878413 0 -1 0 -0.005519926 0 0.9999848 -0.005519926 0 0.9999848 0.3776364 0 0.9259539 0.9999848 1.98005e-6 0.005517721 0.9999848 0 0.005524754 0.9999848 -4.90445e-6 0.005512595 0.9999848 -9.96148e-7 0.005516529 0.9999847 1.68424e-6 0.00551778 0.9999848 0 0.005518615 0.7109944 0 -0.7031977 0 1 0 0.005504369 0 -0.9999849 0 1 0 0 1 0 -0.3168791 0 -0.948466 0.9999848 0 0.005517959 0.005504369 0 -0.9999849 -0.005502283 0 0.9999849 0.9999848 0 0.005517959 0 1 0 -0.3272632 0 0.9449332 -0.3272632 0 0.9449332 -0.005502283 0 0.9999849 0 1 0 -0.7183243 0 0.6957084 0 1 0 -0.7183243 0 0.6957084 0 1 0 -0.9523298 0 0.3050705 0 1 0 -0.9523298 0 0.3050705 -0.9999855 0 -0.005386471 -0.9999855 0 -0.005386471 -0.9488515 0 -0.3157227 -0.9488515 0 -0.3157227 -0.7107213 0 -0.7034736 -0.7107213 0 -0.7034736 -0.3168791 0 -0.948466 0 1 0 -0.8687652 0 0.4952244 0 1 0 -0.8630721 -0.01997697 -0.5046856 0 1 0 0 1 0 -0.9217489 0 -0.3877875 0 1 0 -0.005511403 -0.02678608 0.999626 0 1 0 0.8630852 -0.01997303 0.5046633 0.3775581 0.01351267 0.9258874 0 1 0 0.8687781 0 -0.4952016 0 1 0 0 1 0 0.9217489 0 0.3877873 0 1 0 0.005511522 -0.02678602 -0.9996259 -0.377558 0.0135104 -0.9258874 0 1 0 -0.8687782 0 0.4952016 0 1 0 -0.8630853 -0.01997303 -0.5046631 0 1 0 -0.921749 0 -0.3877871 0 1 0 -0.005510926 -0.02678608 0.9996259 0 1 0 0.8630721 -0.01997697 0.5046856 0.3775587 0.01351034 0.9258872 0 1 0 0.8687652 0 -0.4952244 0 1 0 0.9217489 0 0.3877875 0 1 0 0.005511403 -0.02678602 -0.999626 0 1 0 0 1 0 0 1 0 -0.377558 0.01351267 -0.9258874 0 1 0 -0.8687777 0 0.4952024 0 1 0 -0.8627039 -0.03569954 -0.5044478 0 1 0 0 1 0 -0.9909654 0 -0.1341173 -0.9228338 -0.01757836 -0.3847973 0 1 0 -0.005516588 -0.02258944 0.9997296 0 1 0 -0.5330905 0.01212596 0.8459713 -0.9335117 -0.03981035 0.35633 0 1 0 0.8629142 -0.02819103 0.5045633 0 1 0 -0.1078802 -0.03687357 0.9934799 0.09688419 -0.0164113 0.9951604 0.5240239 0.0121451 0.8516169 0.868762 0 -0.4952298 0 1 0 0.9394627 0 0.3426514 0 1 0 0.005510151 -0.03490871 -0.9993753 0.9897376 -0.106103 -0.09571588 0.9268777 -0.05350792 -0.3715302 0.5070561 0.03529918 -0.86119 0 1 0 -0.4975522 0.03530097 -0.8667154 0 1 0 -0.8687754 0 0.4952062 -0.8629139 -0.02819091 -0.5045641 -0.9394623 0 -0.3426523 0 1 0 -0.005511939 -0.03490775 0.9993754 0 1 0 -0.9897387 -0.1060983 0.09571033 -0.9268782 -0.05350255 0.3715296 -0.5070545 0.03530251 0.8611907 0 1 0 0.8627076 -0.03570115 0.5044414 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.4975526 0.03530126 0.8667151 0.8687652 0 -0.4952242 0 1 0 0.9228334 -0.01758044 0.384798 0.9909669 0 0.1341068 0.005512118 -0.022592 -0.9997296 0.9335116 -0.03981727 -0.3563298 0.5330838 0.01212072 -0.8459756 0.1078793 -0.03687661 -0.9934798 -0.09688335 -0.01641452 -0.9951604 -0.5240383 0.01214361 -0.8516082 0 1 0 0.6567236 0.6546579 -0.3743488 0 1 0 0.6525582 0.6546515 0.381575 0 1 0 0 1 0 0.652556 0.6546688 0.3815489 0 1 0 0.004162788 0.6546591 -0.7559128 0 1 0 0 1 0 0 1 0 0.6567197 0.6546608 -0.3743507 0 1 0 -0.6525548 0.6546528 -0.3815782 0 1 0 0 1 0 0.004170417 0.6546528 -0.7559182 0 1 0 -0.6567357 0.654649 0.3743433 0 1 0 0 1 0 -0.6525555 0.6546477 -0.3815859 0 1 0 -0.004172801 0.6546509 0.7559198 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.6567313 0.6546522 0.3743453 -0.004170298 0.654653 0.7559181 0 1 0 0.6567334 0.6546508 -0.3743443 0.6525546 0.6546597 0.3815667 0 1 0 0 1 0 0 1 0 0 1 0 0.652556 0.6546492 0.3815826 0 1 0 0.004174709 0.6546511 -0.7559196 0 1 0 0.6567353 0.6546493 -0.3743433 0 1 0 -0.6525572 0.6546593 -0.381563 0 1 0 0.004169762 0.6546551 -0.7559162 0 1 0 -0.656733 0.654652 0.3743431 0 1 0 0 1 0 0 1 0 0 1 0 -0.6525582 0.6546523 -0.3815735 0 1 0 -0.004164278 0.6546595 0.7559124 0 1 0 0 1 0 -0.6567225 0.6546596 0.3743479 -0.00417298 0.6546525 0.7559185 0.6567338 0.6546506 -0.3743439 0 1 0 0.652556 0.6546524 0.3815772 0.6525564 0.6546486 0.3815829 0 1 0 0.004174411 0.6546514 -0.7559194 0 1 0 0 1 0 0.6567317 0.6546521 -0.3743449 0 1 0 -0.6525592 0.6546506 -0.3815745 0.004169642 0.6546552 -0.7559162 0 1 0 -0.6567254 0.6546567 0.3743481 0 1 0 0 1 0 -0.6525571 0.6546671 -0.3815498 0 1 0 -0.004162788 0.654659 0.755913 0 1 0 -0.6567202 0.6546605 0.3743504 0 1 0 0 1 0 0 1 0 -0.004169702 0.6546533 0.7559178 0 1 0 0.6567332 0.6546505 -0.374345 0.6525572 0.6546582 0.3815649 0 1 0 0 1 0 0 1 0 0.6525577 0.6546537 0.3815714 0 1 0 0.004164338 0.6546574 -0.7559142 0 1 0 0 1 0 0.6567207 0.6546596 -0.3743508 -0.6525563 0.6546511 -0.3815787 0.004169642 0.6546533 -0.755918 0 1 0 -0.6567245 0.6546573 0.3743485 0 1 0 0 1 0 -0.6525548 0.6546628 -0.381561 0 1 0 -0.004174411 0.6546512 0.7559195 0 1 0 0 1 0 -0.6567317 0.6546521 0.3743451 -0.004169702 0.6546549 0.7559164 0.8686423 0 -0.4954398 0 1 0 0.8631286 -4.10501e-5 0.5049845 0.8632528 0 0.5047719 0.005534827 7.70135e-6 -0.9999847 0.8687741 -4.43645e-5 -0.4952086 -0.8631201 -4.42931e-5 -0.5049988 0.005531072 8.31903e-6 -0.9999846 0 1 0 -0.8686426 0 0.4954392 0 1 0 -0.8632543 0 -0.5047695 0 1 0 -0.005487203 7.74625e-6 0.9999849 0 1 0 -0.8687546 -3.76776e-5 0.4952429 0 1 0 -0.005532085 2.63106e-7 0.9999847 0.8686426 0 -0.4954392 0 1 0 0.8631203 -4.42931e-5 0.5049983 0.8632546 0 0.5047689 0.005534768 7.74328e-6 -0.9999847 0.8687549 -3.77826e-5 -0.4952424 -0.8631194 -4.40342e-5 -0.5049999 0.005532085 8.19285e-6 -0.9999847 0 1 0 -0.8686423 0 0.4954398 0 1 0 -0.8632528 0 -0.5047719 0 1 0 -0.005534768 7.74603e-6 0.9999847 0 1 0 -0.8687533 -3.73501e-5 0.4952452 0 1 0 -0.00553137 8.31904e-6 0.9999847 0.952332 0 -0.3050637 0.9999836 0 0.005721688 0.952332 0 -0.3050637 0.8091236 0 -0.5876387 0.8091236 0 -0.5876387 0.6126237 0 -0.7903747 0.6126237 0 -0.7903747 0.205394 0 -0.9786794 0.205394 0 -0.9786794 0.005557596 0 -0.9999846 -0.9999848 0 -0.005518019 0.005557596 0 -0.9999846 -0.005501925 0 0.9999849 -0.9999848 0 -0.005518019 0.9999848 0 0.005518078 -0.005501925 0 0.9999849 -0.005499899 0 0.9999849 0.9999848 0 0.005518078 0.1948956 0 0.980824 0.1948956 0 0.980824 -0.005499899 0 0.9999849 0.6035158 0 0.797351 0.6035158 0 0.797351 0.8027901 0 0.5962617 0.8027901 0 0.5962617 0.9489386 0 0.3154608 0.9489386 0 0.3154608 0.9999836 0 0.005721688 0.8686546 0 -0.4954182 0.8631272 -4.1253e-5 0.5049865 0.8632606 0 0.5047585 0.005491554 7.16468e-6 -0.9999849 0.8687862 -4.15201e-5 -0.4951874 -0.8631269 -3.87856e-5 -0.5049871 0.00553584 2.4876e-7 -0.9999848 -0.8686493 0 0.4954276 -0.8632523 0 -0.5047729 -0.005491554 7.16212e-6 0.9999849 -0.8687822 -4.19272e-5 0.4951946 -0.005487859 7.73667e-6 0.9999849 0.8686413 0 -0.4954413 0.8631426 -3.50241e-5 0.5049602 0.8632558 0 0.5047667 0.005539238 7.15962e-6 -0.9999846 0.8687743 -4.19238e-5 -0.4952083 -0.8631401 -3.47225e-5 -0.5049645 0.00553584 7.69727e-6 -0.9999846 -0.8686429 0 0.4954386 -0.8632523 0 -0.5047727 -0.005539238 7.16155e-6 0.9999846 -0.8687748 -4.1616e-5 0.4952073 -0.00553584 7.69921e-6 0.9999846 0 1 0 0 1 0 0.003900945 0.7071024 -0.7071003 0.003900825 0.7071052 -0.7070975 0.003961682 0.7070528 -0.7071496 0.003900527 0.7071095 -0.7070934 0 1 0 0 1 0 0 1 0 0.005527377 0 -0.9999848 0.005523145 -1.68273e-6 -0.9999848 -0.3776569 0 -0.9259456 -0.9217277 0 -0.3878377 -0.3776569 0 -0.9259456 -0.9999848 0 -0.00551927 -0.9217277 0 -0.3878377 -0.9253666 0.02319788 0.378363 -0.9999852 8.02246e-5 -0.005446612 -0.9263081 0.04073607 0.3745581 0 1 0 -0.3370795 0.8743928 0.3490193 -0.3779926 0.2231976 0.8985013 0 1 0 -0.1908464 0.9411545 0.2789369 -0.3458159 0.3185091 0.8825891 0 1 0 -0.09832572 0.9711843 0.2171014 -0.1787222 0.7776789 0.6027221 0 1 0 -0.002112746 0.9237836 0.3829091 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.0058977 0.9757906 0.2186275 0.9999848 -3.31217e-7 0.00551784 0.9999849 -7.55176e-6 0.005512952 0.9999842 1.08756e-4 0.005620419 0.9999848 4.90452e-6 0.005512595 -0.003902077 0.7070848 0.7071182 0 1 0 0 1 0 -0.003902256 0.7071036 0.7070992 -0.003907382 0.7070991 0.7071037 -0.003896474 0.7071736 0.7070293 0 1 0 0 1 0 0 1 0 -0.005527615 0 0.9999848 -0.005516767 -4.34049e-6 0.9999848 0.3776548 0 0.9259464 0.9217236 0 0.3878475 0.3776548 0 0.9259464 0.9999848 0 0.005520105 0.9217236 0 0.3878475 0 1 0 0.9253699 0.02321243 -0.3783543 0.9999855 1.29956e-4 0.005402386 0.9263083 0.04068905 -0.374563 0 1 0 0.3371149 0.874321 -0.3491653 0.3779935 0.2232044 -0.8984991 0 1 0 0.1908467 0.9411625 -0.2789099 0.3458412 0.3185082 -0.8825794 0 1 0 0.09832698 0.9711831 -0.2171064 0.1787225 0.7776785 -0.6027226 0 1 0 0.002112805 0.923784 -0.3829082 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.005897641 0.9757903 -0.2186287 -0.9999848 8.23401e-7 -0.005518615 -0.9999848 -4.1822e-6 -0.005515217 -0.9999842 1.10452e-4 -0.005621135 -0.9999848 5.45388e-6 -0.005513966 -0.005499899 3.43992e-5 0.9999849 0.8658734 0.5002403 0.004780471 -0.005523502 -2.07644e-5 0.9999848 0.8658834 -0.5002236 0.004726052 0.8660152 -0.499995 0.004781246 0 1 7.45045e-6 0.8660058 0.5000116 0.004726707 -0.865889 0.5002129 -0.004828393 0 1 7.45044e-6 -0.005520582 -1.90093e-5 0.9999848 -0.8658989 -0.5001962 -0.00478053 -0.005520582 -1.90102e-5 0.9999848 -0.8660055 0.5000116 -0.004781067 -0.005530357 -4.78312e-5 0.9999847 0 -1 7.45044e-6 -0.005515873 1.86764e-5 0.9999848 -0.8660149 -0.4999949 -0.004829108 0 -1 7.45045e-6 -0.8658834 -0.5002231 -0.004773914 -0.8658735 0.5002397 -0.004828214 -0.8660055 0.5000116 -0.00477457 -0.005530357 -1.15959e-4 0.9999847 0 -1 7.45044e-6 -0.005518615 1.53293e-6 0.9999848 -0.8660148 -0.4999949 -0.004828989 -0.005516231 1.65235e-5 0.9999848 0.8658992 -0.5001962 0.00472629 0 -1 7.45045e-6 0.8658894 0.5002129 0.004774093 0.866015 -0.4999951 0.004774808 0 1 7.45045e-6 0.8660057 0.5000118 0.004726827 0 1 7.45044e-6 0.005096733 0.3826788 -0.9238674 0.005099833 -0.3826752 -0.9238689 0.005096733 -0.3826861 -0.9238644 0.002112388 0.9238807 -0.3826747 0.005099833 0.3826897 -0.9238629 -0.002111136 0.9238771 0.3826836 0.002111136 0.9238789 -0.3826792 0.9999851 -3.23914e-5 0.005454957 -0.005096733 0.3826896 0.9238629 -0.002111136 0.923877 0.3826836 0.9999848 3.94979e-6 0.005523622 -0.005096733 -0.382686 0.9238644 -0.005096733 0.3826896 0.9238629 0.9999848 -8.94752e-7 0.005517482 -0.002111136 -0.9238774 0.382683 -0.005096733 -0.3826861 0.9238644 0.002111136 -0.923881 -0.382674 0.9999852 -1.04968e-4 0.005430757 -0.002111136 -0.9238773 0.382683 0.002112388 -0.9238792 -0.3826785 0.9999842 1.25961e-4 0.005618095 -0.006240963 0.3828654 0.923783 -0.002815067 0.7899229 0.6131996 0.9999847 0 0.005518376 -0.005517661 0 0.9999848 -0.005517661 0 0.9999848 -0.005191326 0.3387827 0.9408503 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.8658834 -0.5002232 0.004773914 0.8658734 0.5002399 0.004828214 0.8660055 0.5000116 0.00477457 0.005494177 2.23192e-4 -0.9999849 0 -1 -7.4505e-6 0.005516648 -2.11761e-6 -0.9999848 0.8660148 -0.4999949 0.004829049 0.005520343 -2.28144e-5 -0.9999847 -0.8658991 -0.5001963 -0.00472629 0 -1 -7.45045e-6 0.005514979 2.59191e-5 -0.9999848 -0.8658893 0.500213 -0.004774153 0.005514979 2.5918e-5 -0.9999848 0.005522787 -3.69735e-5 -0.9999848 -0.8660151 -0.4999952 -0.004774808 0 1 -7.45045e-6 -0.8660057 0.5000118 -0.004726827 0 1 -7.4505e-6 0.00549966 3.45536e-5 -0.9999849 -0.8658734 0.5002403 -0.004780471 0.005523324 -2.08577e-5 -0.9999848 -0.8658834 -0.5002236 -0.004726052 -0.8660152 -0.499995 -0.004781246 0 1 -7.45045e-6 -0.8660058 0.5000116 -0.004726707 0.8658889 0.500213 0.004828393 0 1 -7.4505e-6 0.8658989 -0.5001964 0.00478053 0.8660054 0.5000118 0.004781126 0.005494177 9.44942e-5 -0.9999849 0 -1 -7.4505e-6 0.8660147 -0.4999951 0.004829108 0 -1 -7.45045e-6 -0.005096673 0.3826776 0.9238678 -0.005099773 -0.382674 0.9238694 -0.005096673 -0.3826847 0.923865 -0.002112329 0.9238808 0.3826745 -0.005099713 0.3826882 0.9238634 0.002111136 0.9238787 -0.3826795 -0.002111136 0.923879 0.3826789 -0.9999852 -3.42957e-5 -0.005450367 0.005099833 0.3826897 -0.9238629 0.002112388 0.9238805 -0.382675 -0.9999848 4.18172e-6 -0.005523025 0.005096793 -0.3826861 -0.9238644 0.005096793 0.3826791 -0.9238672 -0.9999848 -9.28207e-7 -0.005516588 0.002112388 -0.923879 -0.3826789 0.005099833 -0.3826755 -0.9238687 -0.002111077 -0.9238811 0.3826739 -0.9999853 -1.05996e-4 -0.005429029 0.002111077 -0.9238809 -0.3826744 -0.002112388 -0.9238793 0.3826782 -0.9999842 1.57137e-4 -0.005642473 0.006240904 0.3828638 -0.9237837 0.002815067 0.7899225 -0.6132001 -0.9999848 0 -0.005518078 0.005517661 0 -0.9999848 0.005517661 0 -0.9999848 0.005191385 0.3387852 -0.9408495 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.005539655 -0.08078461 0.9967162 -0.01029932 -0.4221765 0.9064552 -0.01608675 -0.3825739 0.9237849 -0.005484521 -0.08322888 0.9965154 0.002861082 -0.4207702 0.9071629 -0.004651367 -0.8260539 0.5635721 -0.002842366 -0.3690893 0.9293896 0.02148479 -0.9689669 0.2462552 7.26473e-4 -0.8262915 0.5632422 -0.008167207 -0.9686769 0.2481902 -0.02060854 -0.9240699 0.3816676 -4.53391e-4 -0.9966211 0.08213466 -0.001279115 -0.985 -0.1725495 0.001078784 -0.9807173 -0.1954291 0.03902316 -0.9970441 0.06618195 9.31747e-4 -0.9856513 -0.1687918 -0.002185463 -0.9182819 0.3959212 0.005598187 -0.8310332 -0.5561945 0.01330345 -0.7856934 -0.6184731 -0.005943477 -0.9991268 -0.04135483 -0.002440392 -0.9921444 -0.1250749 4.53408e-4 -0.9966211 -0.08213484 0.001279056 -0.9850001 0.1725493 -0.001078784 -0.9807174 0.1954283 0.008166432 -0.9686815 -0.2481724 -7.26812e-4 -0.8262952 -0.5632368 0.0206089 -0.9240738 -0.3816578 -0.02148568 -0.96897 -0.2462428 0.004651546 -0.826053 -0.5635732 -0.0390231 -0.9970443 -0.06618136 -9.31721e-4 -0.9856512 0.1687923 0.002185404 -0.9182844 -0.3959153 -0.005598545 -0.8310319 0.5561965 -0.01330322 -0.7856953 0.6184706 0.005943417 -0.9991268 0.04135596 0.002440512 -0.9921446 0.1250725 0 1 0 0.005539655 -0.0807842 -0.9967163 0.01029908 -0.4221746 -0.9064561 0.01608669 -0.3825705 -0.9237863 0.005484521 -0.08322823 -0.9965153 -0.002861499 -0.4207848 -0.9071559 0.002842724 -0.3690974 -0.9293864 -0.7832903 0.1354953 0.6067101 -0.02403461 0.1949443 0.9805198 -0.8410705 0.2086473 0.4990657 -0.854089 -0.1170269 0.5067905 -0.007918 -0.1946548 0.9808399 -0.8608476 0.3187951 0.3966245 -0.003264307 0.5546395 0.8320843 -0.009655177 -0.002614557 0.9999499 -0.8013162 0.5282713 0.2807523 -0.01089698 0.831186 0.5558876 -0.8320611 0.5140675 0.2083475 -0.8604521 0.5088425 0.02648687 5.36315e-4 0.9806811 0.195613 -0.009557604 0.8162571 0.5776097 -0.8540331 0.4521658 -0.2572422 0.002113819 0.9237292 -0.3830404 -0.8258443 0.5193482 -0.2196785 -9.13977e-5 0.9921111 0.1253615 -2.29575e-4 0.9991343 0.04160022 -0.8396587 0.1844032 -0.510851 0.005924582 0.3823322 -0.924006 -0.8261688 0.2139897 -0.5212041 0.001323521 0.9186128 -0.3951565 -0.8355097 -0.2086322 -0.5083268 -0.8202009 -0.1960271 -0.5374421 0.00519216 0.3708841 -0.9286646 -0.8255961 -0.2175455 0.520639 -0.8604514 -0.5088436 0.02648943 -0.8258435 -0.5193495 -0.2196786 -0.8540301 -0.4521735 -0.2572388 -0.8422071 -0.4803382 0.244872 -0.8228532 -0.5265876 0.213584 -0.8608558 -0.3188213 0.3965858 -0.003228187 -0.554654 0.8320748 -0.01028496 -0.8178337 0.5753628 0.8540322 0.4521644 0.2572476 -0.002113938 0.9237261 0.3830478 0.8258441 0.5193463 0.2196835 0.860453 0.5088409 -0.02648657 -5.36307e-4 0.9806808 -0.195614 2.29575e-4 0.9991344 -0.04159909 9.13882e-5 0.9921109 -0.1253638 0.8396605 0.1844007 0.5108488 -0.005925357 0.3823298 0.924007 0.8261657 0.2139976 0.5212056 -0.001323819 0.9186112 0.3951603 0.8355101 -0.2086381 0.5083237 0.820198 -0.1960306 0.5374452 -0.00519216 0.3708704 0.9286701 0.832062 0.5140663 -0.2083472 0.8013181 0.5282698 -0.2807495 0.8410714 0.2086479 -0.4990639 0.7832922 0.135497 -0.6067075 0.8608482 0.3187938 -0.3966243 0.8540899 -0.1170287 -0.5067887 0.8255973 -0.2175459 -0.5206371 0.02403473 0.1949466 -0.9805192 0.00791794 -0.1946575 -0.9808393 0.003264307 0.5546389 -0.8320847 0.009655177 -0.002613961 -0.9999501 0.01089704 0.8311874 -0.5558855 0.009557545 0.816257 -0.5776098 0.8540298 -0.4521701 0.2572453 0.8604524 -0.5088419 -0.02648913 0.8258433 -0.5193476 0.2196836 0.8422077 -0.480338 -0.2448706 0.8228543 -0.5265861 -0.2135835 0.8608564 -0.3188197 -0.396586 0.003228187 -0.5546525 -0.8320757 0.01028501 -0.8178339 -0.5753625 0.9911953 -0.1106731 -0.07268553 0.9253146 -0.04313856 -0.3767387 0.9921786 -0.1246652 -0.00634247 0.9687447 0 0.24806 0.8687164 0 -0.4953099 0.8700992 -5.31081e-5 0.4928766 0.5765542 -0.07405245 0.8136962 0.703175 -0.006863415 0.7109837 0.9664202 0.01161116 0.2567046 0.9997528 0 -0.02223336 0.9644835 0 0.2641433 0.9969594 0.009121119 -0.07738786 0.9382641 -0.04692924 -0.3427217 0.9650901 0.0681709 -0.252891 0.644031 0.06094855 -0.7625676 0.7170891 -0.006562948 -0.6969507 0.5704966 -1.11732e-5 -0.8213 0.7107103 0.0285167 -0.7029066 -0.9382614 -0.04692643 0.3427296 -0.9969595 0.009126663 0.07738554 -0.965089 0.06817793 0.2528929 -0.6439843 0.06096851 0.7626054 -0.717081 -0.006562173 0.696959 -0.570498 -1.09221e-5 0.821299 -0.7107079 0.02851617 0.702909 -0.925311 -0.0431376 0.3767474 -0.9911954 -0.1106737 0.07268351 -0.9921779 -0.1246729 0.006304562 -0.9687458 0 -0.2480558 -0.8687143 0 0.4953135 -0.870132 -4.98115e-5 -0.4928187 -0.5765536 -0.07405287 -0.8136966 -0.703178 -0.006861865 -0.7109808 -0.9664202 0.01161128 -0.2567046 -0.9997536 0 0.02219647 -0.9644833 0 -0.2641435 0 1 0 0 1 0 0.863198 -2.00191e-5 0.5048656 0 1 0 0.005524814 4.62217e-6 -0.9999848 -0.8631978 -1.88343e-5 -0.5048661 -0.2535026 3.27212e-7 -0.9673348 0.2638569 -0.04652464 -0.9634392 0 1 0 -0.868711 0 0.4953194 -0.9644814 0 -0.2641511 -0.7024306 -0.04653626 -0.7102293 0 1 0 -0.00552392 4.65986e-6 0.9999848 0 1 0 -0.9662849 -0.04655903 0.2532305 -0.7110006 -1.53734e-5 0.7031914 0.2534806 -1.94246e-6 0.9673405 -0.2638642 -0.04652547 0.9634371 0 1 0 0.8687151 0 -0.4953119 0.8631913 -2.03428e-5 0.5048771 0.9644808 0 0.2641528 0.702425 -0.04653632 0.7102349 0 1 0 0.005511641 7.00955e-6 -0.9999848 0 1 0 0.7109971 -1.34051e-5 -0.7031949 0.9662863 -0.04655891 -0.2532256 0 1 0 -0.8631981 -2.03595e-5 -0.5048655 -0.2534776 -2.07284e-6 -0.9673413 0.263865 -0.04652535 -0.9634369 0 1 0 0 1 0 -0.00551176 4.62033e-6 0.9999848 0.2534776 -2.04131e-6 0.9673413 -0.2638345 -0.04652279 0.9634453 0 1 0 -0.9999848 0 -0.005516469 -0.9259543 1.63857e-5 0.3776356 -0.9259799 0 0.3775728 0 1 0 -0.999985 5.1667e-5 -0.005471825 0 1 0 0 1 0 -0.3878378 0 0.9217277 -0.3877749 1.65008e-5 0.9217541 0 1 0 0.9999848 0 0.00551629 0.9259543 1.65395e-5 -0.3776357 0.92598 0 -0.3775722 0 1 0 0.999985 5.16732e-5 0.005471646 0 1 0 0 1 0 0.3878394 0 -0.921727 0.3877764 1.65113e-5 -0.9217535 0.925896 0.01347291 -0.377538 -0.9258958 0.01347297 0.3775386 -0.5094466 0.8491159 -0.1395223 -0.5109537 0.8491169 0.1338908 -0.3714314 0.8491165 -0.375553 -0.1338883 0.8491165 -0.510955 0.1395261 0.8491165 -0.5094445 0.3755527 0.8491166 -0.3714315 0.5109494 0.8491182 -0.1338996 0.5094398 0.8491194 0.1395258 0.3714265 0.8491172 0.3755561 0.1338892 0.8491142 0.5109586 -0.1395108 0.8491145 0.5094521 -0.3755527 0.8491165 0.3714315 -0.5094401 0.8491194 -0.1395249 -0.510949 0.8491179 0.1339024 -0.3714283 0.8491183 -0.3755519 -0.1339007 0.8491184 -0.5109487 0.1395208 0.8491188 -0.5094421 0.3755514 0.8491187 -0.3714277 0.510953 0.8491176 -0.1338894 0.5094456 0.8491166 0.139522 0.3714293 0.849117 0.3755539 0.1338897 0.8491169 0.510954 -0.1395255 0.8491168 0.5094442 -0.3755546 0.8491165 0.3714297 -0.4920923 0.8216148 -0.2877404 -0.4952214 0.8216198 0.2823063 0.003153026 0.821603 -0.5700514 0.4952472 0.8216081 -0.2822951 0.4920959 0.8216111 0.2877444 -0.003153502 0.8216177 0.5700302 -0.4920959 0.8216111 -0.2877444 -0.4952434 0.8216015 0.2823205 0.003153502 0.8216177 -0.5700302 0.4952207 0.8216204 -0.2823054 0.4920915 0.8216154 0.2877396 -0.003153204 0.821603 0.5700515 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.4981837 0.285035 0.8188821 -0.4981855 -0.2850234 0.8188852 -0.004541456 0.5700445 0.8216013 0.4891241 0.2850137 0.824333 0.4891259 -0.2850021 0.8243359 -0.004541516 -0.5700275 0.8216131 -0.4981837 0.2850344 0.8188824 -0.4981855 -0.2850229 0.8188853 -0.004541039 0.5700443 0.8216013 0.4891244 0.2850141 0.8243327 0.4891262 -0.2850024 0.8243356 -0.004541099 -0.5700274 0.8216132 -0.4920917 0.8216143 -0.2877427 -0.4952427 0.8216151 0.2822819 0.003155589 0.8216214 -0.5700248 0.4952455 0.8216149 -0.2822781 0.4920912 0.8216183 0.2877315 -0.003128349 0.8216146 0.5700349 -0.4920992 0.8216082 -0.287747 -0.4952341 0.8216189 0.2822866 0.003155708 0.8216072 -0.5700453 0.4952437 0.8216109 -0.2822929 0.4920941 0.821614 0.2877394 -0.003155589 0.821622 0.5700241 0.4982036 0.2850465 -0.818866 0.4982054 -0.2850349 -0.818869 0.00454092 0.5700679 -0.8215851 -0.4891448 0.2850258 -0.8243165 -0.4891465 -0.2850142 -0.8243194 0.004540979 -0.5700508 -0.8215968 0.4982041 0.285047 -0.8188656 0.4982059 -0.2850353 -0.8188685 0.004541814 0.5700682 -0.8215848 -0.4891446 0.2850255 -0.8243167 -0.4891464 -0.2850139 -0.8243196 0.004541933 -0.5700512 -0.8215966 0 0 -1 0.8910279 0.4539487 0 0 0 -1 0.440933 0.8654801 0.2377445 0 0 -1 0.5556436 0.8314206 0 0 0 -1 0.9556466 -0.1514251 0.2526062 0 0 -1 0 0 -1 0 0 -1 0.718963 0.5223804 0.4584876 0.9510319 0.3090922 1.854e-4 1 9.37723e-5 -7.62897e-5 0 0 -1 0.6841776 -0.6841776 0.2525907 0 0 -1 0.9510832 -0.308935 1.86581e-4 0.8090683 -0.5877145 -2.20335e-5 0 0 -1 0.1514256 -0.9556491 0.2525967 0 0 -1 0 0 -1 0 0 -1 0.5878403 -0.8089771 1.0519e-4 0.3090757 -0.9510375 5.53146e-5 0 0 -1 -0.4392223 -0.8621222 0.2526445 0 0 -1 0 0 -1 4.57655e-5 -1 1.9859e-5 -0.3089926 -0.9510644 8.02867e-5 0 0 -1 -0.8910279 -0.4539487 0 0 0 -1 -0.5877811 -0.8090201 0 0 0 -1 -0.9693394 0.1535948 0.1918066 0 0 -1 0 0 -1 0 0 -1 -0.7751781 -0.5180296 0.3615856 -0.9760673 -0.1941607 -0.09795022 0 0 -1 -0.7048866 0.7048866 0.07918256 0 0 -1 -0.9638609 0.2583575 -0.06498986 0 0 -1 -0.1535947 0.9693391 0.1918081 0 0 -1 0 0 -1 0 0 -1 -0.7048677 0.7049174 0.07907688 -0.2583279 0.9638743 -0.06490749 0 0 -1 0 0 -1 0.1941834 0.9760606 -0.09797173 -0.9659247 -0.2588231 0 0 0 -1 -0.2588173 -0.9659263 0 0 -0.8372113 0.5468797 -0.4999941 -0.8660287 0 -0.7070955 0.707118 0 -0.7250342 -0.4186134 0.5468897 -1 0 0 0 0 -1 0.2588173 0.9659263 0 -0.7250405 0.418617 0.5468786 -0.4999941 0.8660287 0 0 0 -1 0.9659239 0.2588264 0 0.4999941 0.8660287 0 0 0.8372113 0.5468797 0 0 -1 0.7070938 -0.7071198 0 0 0 -1 0.7250295 0.4186164 0.5468937 1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7250403 -0.4186226 0.5468746 0.4999941 -0.8660287 0 0.2588231 -0.9659247 0 0 0 -1 0.9659263 -0.2588173 0 0.8372113 0 0.5468797 0.8660287 -0.4999941 0 -0.707118 -0.7070955 0 0.4186134 -0.7250342 0.5468897 0 -1 0 0 0 -1 -0.9659263 0.2588173 0 0 0 -1 -0.418617 -0.7250405 0.5468786 -0.8660287 -0.4999941 0 0 0 -1 -0.2588264 0.9659239 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660287 0.4999941 0 -0.8372113 0 0.5468797 0 0 -1 0.7071198 0.7070938 0 -0.4186164 0.7250295 0.5468937 0 1 0 0 0 -1 0.4186226 0.7250403 0.5468746 0.8660287 0.4999941 0 0.9659247 0.2588231 0 0.2588173 0.9659263 0 0 0.8372113 0.5468797 0.4999941 0.8660287 0 0.7070955 -0.707118 0 0.7250342 0.4186134 0.5468897 1 0 0 0 0 -1 -0.2588173 -0.9659263 0 0.7250405 -0.418617 0.5468786 0.4999941 -0.8660287 0 0 0 -1 -0.9659239 -0.2588264 0 -0.4999941 -0.8660287 0 0 -0.8372113 0.5468797 0 0 -1 -0.7070938 0.7071198 0 0 0 -1 -0.7250295 -0.4186164 0.5468937 -1 0 0 0 0 -1 0 0 -1 -0.7250403 0.4186226 0.5468746 -0.4999941 0.8660287 0 -0.2588231 0.9659247 0 0 0 -1 -0.9659263 0.2588173 0 -0.8372113 0 0.5468797 -0.8660287 0.4999941 0 0.707118 0.7070955 0 -0.4186134 0.7250342 0.5468897 0 1 0 0.9659263 -0.2588173 0 0.418617 0.7250405 0.5468786 0.8660287 0.4999941 0 0 0 -1 0.2588264 -0.9659239 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660287 -0.4999941 0 0.8372113 0 0.5468797 0 0 -1 -0.7071198 -0.7070938 0 0.4186164 -0.7250295 0.5468937 0 -1 0 0 0 -1 -0.4186226 -0.7250403 0.5468746 -0.8660287 -0.4999941 0 0.9997817 -0.02089607 0 0 0 -1 0.9396998 0.3420005 0 0 0 -1 0.9396998 0.3420005 0 0.7242847 -0.6895012 0 0.9997817 -0.02089607 0 0 0 -1 0.5751206 -0.8180686 0 0.7242847 -0.6895012 0 0.8180397 -0.5751618 0 0.5751206 -0.8180686 0 0.6894173 -0.7243645 0 0.8180397 -0.5751618 0 0 0 -1 0.02085453 -0.9997825 0 0.6894173 -0.7243645 0 0 0 -1 -0.3420445 -0.9396837 0 0.02085453 -0.9997825 0 0 0 -1 -0.6896843 -0.7241102 0 0 0 -1 -0.3420445 -0.9396837 0 0 0 -1 -0.9999 0.01414233 0 -0.6896843 -0.7241102 0 0 0 -1 -0.8220553 0.5694077 0 -0.9999 0.01414233 0 0 0 -1 -0.569361 0.8220877 0 0 0 -1 0 0 -1 -0.8220553 0.5694077 0 0 0 -1 -0.0141046 0.9999005 0 -0.569361 0.8220877 0 0 0 -1 0.72418 0.689611 0 -0.0141046 0.9999005 0 0.72418 0.689611 0 0 0 -1 -0.5751206 0.8180686 0 -0.7242847 0.6895012 0 -0.7242847 0.6895012 0 -0.8180397 0.5751618 0 -0.5751206 0.8180686 0 -0.6894173 0.7243645 0 -0.8180397 0.5751618 0 0 0 -1 -0.02085453 0.9997825 0 -0.6894173 0.7243645 0 0 0 -1 0.3420445 0.9396837 0 -0.02085453 0.9997825 0 0 0 -1 0.6896843 0.7241102 0 0 0 -1 0.3420445 0.9396837 0 0 0 -1 0.9999 -0.01414233 0 0.6896843 0.7241102 0 0 0 -1 0.8220553 -0.5694077 0 0.9999 -0.01414233 0 0 0 -1 0.569361 -0.8220877 0 0 0 -1 0 0 -1 0.8220553 -0.5694077 0 0 0 -1 0.0141046 -0.9999005 0 0.569361 -0.8220877 0 0 0 -1 -0.72418 -0.689611 0 0.0141046 -0.9999005 0 0 0 -1 -0.9396998 -0.3420005 0 -0.72418 -0.689611 0 -0.9997817 0.02089607 0 0 0 -1 -0.9396998 -0.3420005 0 -0.9997817 0.02089607 0 -0.4422403 -0.5546054 -0.7048661 -0.7551872 -0.6021835 0.2589739 -0.5936155 -0.396645 -0.7002096 -0.2811783 -0.5838387 -0.7616239 -0.5356413 -0.8016362 -0.2654576 -0.182988 -0.801598 -0.5691716 2.62315e-5 -0.6290065 -0.7774 -0.1815767 -0.9128148 -0.3657854 0 0 -1 0.2147507 -0.941033 -0.2614173 0 0 -1 0 0 -1 0.2811321 -0.5837867 -0.7616809 0 0 -1 0.1651845 -0.830457 -0.5320295 0 0 -1 0.6020821 -0.7549221 0.2599801 0.5544676 -0.4422153 -0.7049903 0.3965754 -0.5935195 -0.7003304 0.5837894 -0.2811312 -0.7616792 0.8017061 -0.5356808 -0.2651668 0.8018124 -0.1829795 -0.568872 0.6290065 -2.62315e-5 -0.7774 0.9127827 -0.1815598 -0.365874 0.9410938 0.214832 -0.261132 0.5838387 0.2811783 -0.761624 0.8302712 0.1651571 -0.5323278 0.7551872 0.6021835 0.2589739 0.4422403 0.5546054 -0.7048661 0.5936155 0.396645 -0.7002096 0.2811783 0.5838387 -0.7616239 0.5356414 0.8016362 -0.2654578 0.182988 0.801598 -0.5691716 -2.62315e-5 0.6290065 -0.7774 0.1815767 0.9128148 -0.3657854 0 0 -1 -0.2147507 0.941033 -0.2614173 0 0 -1 0 0 -1 -0.2811321 0.5837867 -0.7616809 0 0 -1 -0.1651845 0.830457 -0.5320295 0 0 -1 -0.6020821 0.7549221 0.2599801 -0.5544676 0.4422153 -0.7049903 -0.3965754 0.5935195 -0.7003304 -0.5837894 0.2811312 -0.7616792 -0.8017061 0.5356808 -0.2651668 -0.8018124 0.1829795 -0.568872 -0.6290065 2.62315e-5 -0.7774 -0.9127827 0.1815598 -0.365874 -0.9410938 -0.214832 -0.261132 -0.5838387 -0.2811783 -0.761624 -0.8302712 -0.1651571 -0.5323278 0 0 1 -0.8467165 -0.5320444 0 0 0 1 -0.2988054 -0.4755308 0.8273969 0 0 1 0 0 1 0 0 1 -0.5230422 -0.7009244 0.4849039 -0.6722824 -0.7402948 0 0 0 1 -0.9899352 -0.111573 0.08706265 0 0 1 0 0 1 -0.1548809 -0.1405779 0.9778802 -0.2806727 -0.2091318 0.9367426 -0.8670731 -0.4499288 0.2138887 -0.9013114 -0.4315973 0.03689831 -0.9089215 -0.4169672 0 -0.9505512 -0.2996261 -0.08171039 0 0 1 -0.9402381 0.3289781 0.08789598 0 0 1 0 0 1 0 0 1 0 0 1 -0.9880087 0.1303297 -0.08278286 0 0 1 -0.7043515 0.7043515 0.08819329 -0.8402333 0.5357854 -0.08331817 0 0 1 -0.3289768 0.940234 0.08794462 0 0 1 0 0 1 -0.5349416 0.8407688 -0.08333754 0 0 1 0.1115721 0.9899275 0.08715105 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.1293329 0.9881345 -0.08284372 0 0 1 0.2988054 0.4755308 0.8273969 0 0 1 0 0 1 0 0 1 0.4320535 0.9010839 0.0371167 0.3579971 0.9237945 -0.1358011 0.4502711 0.866622 0.2149931 0 0 1 0.8467165 0.5320444 0 0 0 1 0 0 1 0 0 1 0.6722824 0.7402948 0 0.5230422 0.7009244 0.4849039 0 0 1 0.9903413 0.1116188 0.08225208 0 0 1 0 0 1 0.9508956 0.2997287 -0.07720214 0.9089215 0.4169672 0 0.8670731 0.4499288 0.2138887 0.2806727 0.2091318 0.9367426 0.9013114 0.4315973 0.03689831 0.1548809 0.1405779 0.9778802 0 0 1 0.9406321 -0.329116 0.08303028 0 0 1 0 0 1 0 0 1 0 0 1 0.9883741 -0.1303787 -0.07821869 0 0 1 0.7046489 -0.7046489 0.08330518 0.8405516 -0.5359785 -0.07874071 0 0 1 0.3291149 -0.940629 0.08306854 0 0 1 0 0 1 0.5351458 -0.8410799 -0.07876294 0 0 1 -0.111618 -0.9903348 0.08233124 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.1293984 -0.9884979 -0.07828235 0 0 1 0 0 1 0 0 1 -0.3605497 -0.923583 -0.1303778 -0.4320535 -0.9010839 0.0371167 -0.4502711 -0.866622 0.2149931 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.224561 0.678521 0.6994153 -0.236001 -0.7694035 0.593567 -0.2621355 -0.8068406 0.5294271 -0.02246707 -0.6663478 0.7453024 0 0.7052958 0.7089132 -0.05832725 0.6880968 0.7232709 0 0 1 -0.4088845 0.560813 0.7199322 -0.6786409 0.281024 0.6785809 -0.3596391 0.6228912 0.6947419 -0.6993364 -0.2897608 0.6534274 -0.6963834 0 0.71767 -0.6841537 0.3949901 0.6131203 -0.281162 -0.6785883 0.6785764 -0.6229237 -0.3596396 0.6947124 0.2896359 -0.6994333 0.6533791 0 -0.6963911 0.7176625 -0.3949635 -0.6840633 0.6132384 0.667344 -0.2979419 0.682556 0.3596419 -0.6228878 0.6947434 0.716242 0.2300145 0.6588556 0.6678714 -0.3855897 0.6366069 0.6973685 0 0.7167127 0 0 1 0.3747309 0.6402487 0.6705657 0 0 1 0.6097606 0.3520399 0.7101125 0.2453778 -0.7998568 0.5477399 2.96997e-5 -0.6490218 0.7607699 0.02710992 -0.6019162 0.7980989 0.3699496 0.640749 0.6727392 0.05796903 0.7018575 0.7099549 0.6333087 -0.6332765 0.444838 0.3890342 -0.5353832 0.7496781 0.2461145 -0.7573035 0.6049125 0 0 1 0.76949 -0.2360428 0.5934383 0 0 1 0.535406 -0.3889238 0.7497192 -0.6785125 -0.2245769 0.6994184 0.8067423 -0.2620495 0.5296197 0.6660642 -0.02203077 0.745569 -0.7052958 0 0.7089132 -0.6884995 -0.05705672 0.722989 -0.560813 -0.4088845 0.7199322 -0.281024 -0.6786409 0.6785809 -0.6228912 -0.3596391 0.6947419 0.2897608 -0.6993364 0.6534274 0 -0.6963834 0.71767 -0.3949901 -0.6841537 0.6131203 0.6785883 -0.281162 0.6785764 0.3596396 -0.6229237 0.6947124 0.6994333 0.2896359 0.6533791 0.6963911 0 0.7176625 0.6840633 -0.3949635 0.6132384 0.2979419 0.667344 0.682556 0.6228878 0.3596419 0.6947434 -0.2300145 0.716242 0.6588556 0.3855897 0.6678714 0.6366069 0 0.6973685 0.7167127 0 0 1 -0.6402578 0.3747211 0.6705624 -0.3520399 0.6097606 0.7101125 0.7998951 0.2453498 0.5476964 0.6490272 6.08649e-5 0.7607653 0.6011384 0.02758496 0.7986687 -0.6407566 0.369954 0.6727296 -0.7017918 0.05880373 0.709951 0.6332762 0.6332753 0.4448862 0.5353819 0.3889949 0.7496993 0.7571889 0.2460918 0.6050651 0 0 1 0.2548108 0.8307265 0.4949393 0 0 1 0.3407757 0.5099096 0.7898507 0.224561 -0.678521 0.6994153 0.04944193 0.5090598 0.8593099 0 -0.7052958 0.7089132 0.08744609 -0.6784762 0.7293992 0.4088845 -0.560813 0.7199322 0.6786409 -0.281024 0.6785809 0.3596391 -0.6228912 0.6947419 0.6993364 0.2897608 0.6534274 0.6963834 0 0.71767 0.6841537 -0.3949901 0.6131203 0.281162 0.6785883 0.6785764 0.6229237 0.3596396 0.6947124 -0.2896359 0.6994333 0.6533791 0 0.6963911 0.7176625 0.3949635 0.6840633 0.6132384 -0.667344 0.2979419 0.682556 -0.3596419 0.6228878 0.6947434 -0.716242 -0.2300145 0.6588556 -0.6678714 0.3855897 0.6366069 -0.6973685 0 0.7167127 0 0 1 -0.3747309 -0.6402487 0.6705657 0 0 1 -0.6097606 -0.3520399 0.7101125 -0.2176083 0.7093365 0.6704389 -0.1675112 0.6250187 0.7624247 -0.02950048 0.7020418 0.7115246 -0.3699496 -0.640749 0.6727392 -0.0868842 -0.6992501 0.7095776 -0.4896333 0.4896084 0.7214866 0 0 1 -0.7091944 0.217547 0.6706092 0 0 1 -0.489726 0.4897605 0.7213205 0.6785125 0.2245769 0.6994184 -0.4198671 0.05699849 0.9057941 0.7052958 0 0.7089132 0.6784101 0.08763301 0.7294382 0.560813 0.4088845 0.7199322 0.281024 0.6786409 0.6785809 0.6228912 0.3596391 0.6947419 -0.2897608 0.6993364 0.6534274 0 0.6963834 0.71767 0.3949901 0.6841537 0.6131203 -0.6785883 0.281162 0.6785764 -0.3596396 0.6229237 0.6947124 -0.6994333 -0.2896359 0.6533791 -0.6963911 0 0.7176625 -0.6840633 0.3949635 0.6132384 -0.2979419 -0.667344 0.682556 -0.6228878 -0.3596419 0.6947434 0.2300145 -0.716242 0.6588556 -0.3855897 -0.6678714 0.6366069 0 -0.6973685 0.7167127 0 0 1 0.6402578 -0.3747211 0.6705624 0.3520399 -0.6097606 0.7101125 -0.8307482 -0.2548133 0.4949016 -0.6483144 -0.1289636 0.7503711 -0.7020163 -0.02945095 0.7115516 0.6407566 -0.369954 0.6727296 0.6992498 -0.08690786 0.7095751 -0.6332762 -0.6332753 0.4448862 -0.5098924 -0.3407467 0.7898744 -0.388962 -0.535366 0.7497279 -0.396638 -0.9178479 0.01527756 0 0 1 -0.4916219 -0.87059 -0.01951599 -0.5001011 0.499884 0.7071173 -0.5000085 0.5000019 0.7070994 -0.4999927 0.5000019 0.7071107 -0.1898642 -0.9812649 -0.03272187 0 0 1 -0.1949646 -0.9801176 -0.03685367 0 0 1 0.02573341 -0.9995602 0.01472866 0 0 1 0 0 1 0 0 1 0 0 1 0.2403169 -0.9705907 -0.01419484 0 0 1 0.194881 -0.9797547 -0.04584997 0 0 1 0 0 1 0 0 1 0 0 1 0.4435757 -0.8961848 0.009664654 0 0 1 0 0 1 0.6260621 -0.7797732 -1.15017e-4 0 0 1 0.5548639 -0.8304158 -0.05035483 0.7792757 -0.6266812 1.14181e-4 0.8958353 -0.4442839 0.00952661 0.830414 -0.5548627 -0.05039703 0.9685913 -0.2406474 -0.06260818 0 0 1 0.9806106 -0.1950513 -0.01891493 0.9995404 -0.02652627 0.01467448 0 0 1 0 0 1 0 0 1 0.9812107 0.1890494 -0.03854775 0 0 1 0.9802296 0.1949868 -0.03361499 0 0 1 0 0 1 0.9181588 0.3959168 0.01531022 0 0 1 0 0 1 0 0 1 0.8649169 0.5018717 -0.006611168 -0.4999971 0.4999964 0.7071113 0.8782556 0.4779738 -0.01442497 0 0 1 -0.4999971 0.4999971 0.7071108 0.8442878 0.5358901 0 -0.4999977 0.499998 0.7071099 -0.7071067 0.7071069 0 -0.7071067 0.707107 0 0.8711933 0.489849 -0.03271484 -0.653586 0.6535862 0.3816416 0.8261142 0.3734924 -0.4219462 -0.2712033 0.2714147 0.9234625 0.8182377 0.5467342 -0.1776765 -0.6539189 0.6537117 0.3808557 0.7806637 0.6218724 -0.06195813 0 0 1 -0.2718834 0.2718812 0.9231252 0.7331709 0.6800444 0 0 0 1 0 0 1 0.5555739 0.8314671 0 0.562637 0.6063801 -0.56191 0 0 1 0 0 1 -0.5555739 -0.8314671 0 -0.562637 -0.6063801 -0.56191 -0.5743998 -0.7202197 -0.3890354 -0.5295885 -0.8382255 -0.1300541 -0.4901868 -0.870998 -0.03285449 -0.4687746 -0.8833178 0 -0.5114001 -0.85882 -0.02996879 -0.7331709 -0.6800444 0 -0.8261143 -0.3734925 -0.4219461 -0.8182377 -0.5467342 -0.1776765 -0.7806637 -0.6218724 -0.06195819 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2713299 0.2713299 0.9234501 0 0 1 -0.653473 0.6536825 0.3816705 -0.2719413 0.271739 0.9231499 -0.7071114 0.7071021 0 -0.7071067 0.707107 -5.97079e-6 -0.7071087 0.7071049 -2.91377e-6 -0.7071097 0.7071039 0 -0.7071085 0.7071051 -2.50434e-6 -0.6538112 0.6538058 0.3808791 0.3966328 0.9178502 0.01527941 0 0 1 0.4916219 0.87059 -0.01951599 0.5001011 -0.499884 0.7071173 0.5000085 -0.5000019 0.7070994 0.5000007 -0.5000019 0.7071049 0.1898684 0.9812641 -0.03272366 0 0 1 0.1949646 0.9801177 -0.03685206 0 0 1 -0.02574729 0.9995599 0.01472723 0 0 1 0 0 1 0 0 1 0 0 1 -0.2403304 0.9705875 -0.01418733 0 0 1 -0.194881 0.9797547 -0.04585075 0 0 1 0 0 1 0 0 1 0 0 1 -0.4435787 0.8961834 0.009665071 0 0 1 0 0 1 -0.6260744 0.7797633 -1.1119e-4 0 0 1 -0.5548639 0.8304158 -0.05035728 -0.7792793 0.6266769 1.10389e-4 -0.8958425 0.4442695 0.009526729 -0.8304139 0.5548626 -0.05040031 -0.9685949 0.2406346 -0.06260079 0 0 1 -0.9806106 0.1950513 -0.01892137 -0.9995406 0.02651906 0.01467347 0 0 1 0 0 1 0 0 1 -0.9812089 -0.1890594 -0.03854328 0 0 1 -0.9802295 -0.1949868 -0.03361898 0 0 1 0 0 1 -0.9181581 -0.3959182 0.01530969 0 0 1 0 0 1 0 0 1 -0.8649169 -0.5018717 -0.006611168 0.4999971 -0.4999964 0.7071113 -0.8782556 -0.4779738 -0.01442497 0 0 1 0.4999971 -0.499997 0.7071109 -0.8442878 -0.5358901 0 0.4999977 -0.499998 0.7071099 0.7071067 -0.7071069 0 0.7071067 -0.707107 0 -0.8711933 -0.489849 -0.03271484 0.653586 -0.6535862 0.3816416 0.2712033 -0.2714147 0.9234625 0.6539189 -0.6537117 0.3808557 0 0 1 0.2718834 -0.2718812 0.9231252 0 0 1 0.5743998 0.7202197 -0.3890354 0.5295885 0.8382255 -0.1300541 0.4901868 0.870998 -0.03285449 0.4687746 0.8833178 0 0.5114001 0.85882 -0.02996879 0 0 1 0 0 1 0.2713299 -0.2713299 0.9234501 0 0 1 0.653473 -0.6536825 0.3816705 0.2719413 -0.271739 0.9231499 0.7071114 -0.7071021 0 0.7071066 -0.707107 -5.87717e-6 0.7071097 -0.7071039 0 0.6538112 -0.6538058 0.3808791 -0.6554914 0.1757008 0.7344796 -0.7070722 0.009551525 0.7070769 -0.7070745 -0.009490609 0.7070753 0.1334345 0.6707072 0.7296212 0.009354948 0.7070747 0.707077 -0.009546816 0.7070729 0.7070761 -0.2585631 -0.9659944 0 -0.9659842 -0.2586013 -4.01523e-5 -0.9659218 -0.258834 0 0.7070978 -0.7071158 4.4977e-6 -0.2588292 -0.9659231 -4.59329e-5 0 0 1 0.9659842 0.2586013 -4.01523e-5 0 0 1 0.7071115 -0.707102 7.73051e-6 0 0 1 0.2585647 0.965994 0 0.9659218 0.258834 0 0 0 1 -0.7070944 0.7071192 4.23135e-6 0.2588304 0.9659228 -4.58371e-5 -0.7071093 0.7071043 7.73067e-6 0 0 1 0.9659944 -0.2585631 0 0.2586013 -0.9659842 -4.01523e-5 0.258834 -0.9659218 0 0 0 1 0.7071158 0.7070978 4.4977e-6 0.9659231 -0.2588292 -4.59329e-5 0 0 1 -0.2586013 0.9659842 -4.01523e-5 0 0 1 0.707102 0.7071115 7.73051e-6 -0.965994 0.2585647 0 -0.258834 0.9659218 0 -0.7071192 -0.7070944 4.23135e-6 -0.9659228 0.2588304 -4.58371e-5 -0.7071043 -0.7071093 7.73067e-6 0.2585631 0.9659944 0 0.9659842 0.2586013 -4.01523e-5 0.9659218 0.258834 0 -0.7070978 0.7071158 4.4977e-6 0.2588292 0.9659231 -4.59329e-5 0 0 1 -0.9659842 -0.2586013 -4.01523e-5 0 0 1 -0.7071115 0.707102 7.73051e-6 0 0 1 -0.2585647 -0.965994 0 -0.9659218 -0.258834 0 0 0 1 0.7070944 -0.7071192 4.23135e-6 -0.2588304 -0.9659228 -4.58371e-5 0.7071093 -0.7071043 7.73067e-6 0 0 1 -0.9659944 0.2585631 0 -0.2586013 0.9659842 -4.01523e-5 -0.258834 0.9659218 0 0 0 1 -0.7071158 -0.7070978 4.4977e-6 -0.9659231 0.2588292 -4.59329e-5 0 0 1 0.2586013 -0.9659842 -4.01523e-5 0 0 1 -0.707102 -0.7071115 7.73051e-6 0.965994 -0.2585647 0 0.258834 -0.9659218 0 0.7071192 0.7070944 4.23135e-6 0.9659228 -0.2588304 -4.58371e-5 0.7071043 0.7071093 7.73067e-6 -0.1966129 -0.7245007 0.6606377 0.499983 -0.5000211 0.7071039 0.4999261 -0.5000749 0.7071059 -0.1796255 -0.6389317 0.747998 0.113063 -0.7240546 0.680413 0.1012606 -0.6724711 0.7331635 0.3887351 -0.6000261 0.6991807 0.3780378 -0.5858379 0.7168552 0.599574 -0.3893358 0.6992344 0.723905 -0.1137712 0.680454 0.5854104 -0.378634 0.7168899 0.7246794 0.1959311 0.6606442 0.6724238 -0.1019369 0.7331133 0.4999594 -0.500032 0.7071129 0.5000051 -0.499984 0.7071144 0.6390722 0.1790255 0.7480218 0.1965958 0.7244964 0.6606476 -0.5000682 0.4999205 0.7071148 -0.5000126 0.4999732 0.7071168 0.1795966 0.6388593 0.7480668 -0.1131117 0.7240228 0.6804387 -0.1013107 0.6724603 0.7331666 -0.3888031 0.5999591 0.6992003 -0.3780987 0.5857647 0.7168829 -0.5996358 0.3892635 0.6992217 -0.7238683 0.1137129 0.6805027 -0.5854285 0.3785316 0.716929 -0.7246373 -0.1959378 0.6606884 -0.6723846 0.1018827 0.7331569 -0.5000776 0.4999224 0.7071068 -0.5001069 0.4998916 0.7071079 -0.6391 -0.1790419 0.7479942 0.5001439 -0.4998126 0.7071377 0.5000439 -0.4999467 0.7071135 -0.314715 -0.9293547 0.1930135 -0.2684019 -0.9544866 -0.1300607 -0.1793162 -0.6376549 0.7491608 0 0 1 0.1166628 -0.9836646 0.1370899 0 0 1 0 0 1 0 0 1 0.5334225 -0.8458489 4.44585e-4 0 0 1 0.5406408 -0.8378069 0.07607305 0.1485635 -0.9865081 -0.06878006 0 0 1 0.8431152 -0.5327733 0.07286566 0 0 1 0.8396826 -0.5430775 -9.98965e-5 0.9835407 -0.117553 0.1372184 0 0 1 0.9863396 -0.1495203 -0.06912171 0 0 1 0.9268874 0.3129398 0.2072399 0 0 1 0.9325356 0.3126686 0.1805983 0.9547157 0.2675183 -0.1301994 0 0 1 0 0 1 0.7071068 -0.7071068 0 0.4999671 -0.500019 0.7071166 0.6378617 0.1787335 0.749124 -0.4989244 0.5014005 0.7068747 -0.4998927 0.5001041 0.7071089 0.3147133 0.9293538 0.1930204 0.268377 0.9544764 -0.1301873 0.1793258 0.6377415 0.7490848 0 0 1 -0.1166611 0.9836504 0.1371941 0 0 1 0 0 1 0 0 1 -0.5320038 0.8435992 0.07288604 0 0 1 -0.1486293 0.9864743 -0.06912058 0 0 1 -0.8431379 0.532781 0.07254558 0 0 1 -0.839752 0.5429701 4.15101e-4 -0.5423189 0.8401727 -1.26317e-4 -0.9835559 0.1175549 0.1371082 0 0 1 -0.9863713 0.1494593 -0.06879967 0 0 1 -0.9268908 -0.3129423 0.207221 0 0 1 -0.9325225 -0.3126721 0.1806595 -0.9547291 -0.2675335 -0.1300706 0 0 1 0 0 1 -0.7071188 0.7070949 8.02806e-6 -0.4999943 0.4999951 0.7071143 -0.6379145 -0.1787559 0.7490738 0.02893549 -0.6924785 0.720858 -0.02943998 -0.6993438 0.7141789 0.009339392 0.7070821 0.7070698 -0.009556829 0.7070682 0.7070809 0.6923865 0.02946364 0.7209249 0.6993276 -0.02908349 0.7142094 -0.7070798 0.009535431 0.7070695 -0.7070697 -0.009500622 0.70708 -0.301577 -0.9534418 0 0.2245705 0.7010582 0.6768201 -0.09306144 0.7232506 0.6842865 0.211716 0.669312 0.7121782 0.2244979 0.7008585 0.6770509 -0.3873507 0.6097759 0.6914714 -0.09198498 0.7027872 0.7054282 -0.6094391 0.3879832 0.6914139 -0.6032856 0.3846927 0.6986114 -0.384129 0.6037364 0.6985323 -0.7232542 0.0937857 0.6841841 -0.7025699 0.09267699 0.7055542 -0.7013375 -0.2238932 0.6767551 -0.669472 -0.2110263 0.7122325 -0.7071098 0.7071037 7.02471e-6 -0.7011653 -0.2238309 0.6769542 0.3015904 0.9534376 0 -0.7069894 0.7072241 0 0.5506414 0.147553 0.8215973 0.147551 0.5506422 0.8215972 0.403098 -0.4030926 0.821601 -0.1475504 -0.5506423 0.8215972 -0.5506405 -0.1475528 0.821598 -0.4030967 0.4030939 0.8216011 -0.147553 0.5506414 0.8215973 -0.5506422 0.147551 0.8215972 0.4030926 0.403098 0.821601 0.5506423 -0.1475504 0.8215972 0.1475528 -0.5506405 0.821598 -0.4030939 -0.4030967 0.8216011 -0.5506414 -0.147553 0.8215973 -0.147551 -0.5506422 0.8215972 -0.403098 0.4030926 0.821601 0.1475504 0.5506423 0.8215972 0.5506405 0.1475528 0.821598 0.4030967 -0.4030939 0.8216011 0.147553 -0.5506414 0.8215973 0.5506422 -0.147551 0.8215972 -0.4030926 -0.403098 0.821601 -0.5506423 0.1475504 0.8215972 -0.1475528 0.5506405 0.821598 0.4030939 0.4030967 0.8216011 -1 0 0 0 0.8660222 0.5000055 -1 0 0 -1 0 0 0 0.8660218 -0.5000063 -1 0 0 -1 0 0 0 0.8660218 -0.5000063 0 0 1 0 0.8660222 0.5000055 -1 0 0 0 -0.8660222 0.5000055 -1 0 0 0 0 1 -1 0 0 0 -0.8660218 -0.5000063 -1 0 0 -1 0 0 -1 0 0 0 -0.8660222 0.5000055 0 0 -1 0 -0.8660218 -0.5000063 -1 0 0 0 0 -1 0 -1 0 0 -0.4999974 -0.8660268 0 -1 0 0 -0.4999974 0.8660268 0 -0.4999974 0.8660268 0 0.4999974 0.8660268 0 0.4999974 0.8660268 0 1 0 0 1 0 0 0.4999974 -0.8660268 0 0.4999974 -0.8660268 0 -0.4999974 -0.8660268 0.6546618 -0.6546447 -0.3779658 0.6786116 -0.6785939 0.281063 0.6081589 -0.6874617 0.3969121 0.590694 0 -0.8068957 0.5524631 -0.7700961 -0.3189617 0.7270753 -0.2627332 -0.634297 0.6081563 0.687463 -0.3969137 0.7270748 0.2627335 -0.6342976 0.6786125 0.6785948 -0.2810589 0.654662 0.6546449 0.377965 0 -0.9238891 -0.3826604 0 -0.7070927 0.7071209 0.4581683 -0.8212131 0.3401336 0.4581429 -0.3401578 -0.8212173 4.26108e-5 0.3826819 -0.9238801 3.26151e-5 -0.7070927 -0.7071209 0.4581703 0.8212141 -0.3401286 0 0.7070943 -0.7071192 0 0.9238912 0.3826552 0.5524587 0.7701005 0.3189585 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 3.51221e-5 0.7070943 0.7071192 0.4581424 0.3401616 0.821216 1 0 0 0 0.7071127 0.7071008 0 0.7071127 -0.7071008 0 0.7071127 -0.7071008 0 -0.7071108 0.7071028 0 0.7071127 0.7071008 0 -0.7071108 -0.7071028 0 -0.7071108 0.7071028 0 -0.7071108 -0.7071028 4.58884e-5 -0.3826861 0.9238784 1 0 0 1 0 0 0.590694 0 0.8068957 0.7270758 0.262736 0.6342955 0.7270763 -0.2627357 0.6342949 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660218 0.5000062 -1 0 0 -1 0 0 0 0.8660223 -0.5000054 -1 0 0 -1 0 0 0 0.8660223 -0.5000054 0 0 1 0 0.8660218 0.5000062 -1 0 0 0 -0.8660222 0.5000055 -1 0 0 0 0 1 -1 0 0 0 -0.8660227 -0.5000047 -1 0 0 -1 0 0 -1 0 0 0 -0.8660222 0.5000055 0 0 -1 0 -0.8660227 -0.5000047 -1 0 0 0 0 -1 0 -1 0 0 -0.4999903 -0.8660311 0 -1 0 0 -0.4999903 0.8660311 0 -0.4999903 0.8660311 0 0.4999899 0.8660312 0 0.4999899 0.8660312 0 1 0 0 1 0 0 0.4999899 -0.8660312 0 0.4999899 -0.8660312 0 -0.4999903 -0.8660311 0.6546622 -0.6546452 -0.3779643 0.6786141 -0.6785963 0.2810516 0.608152 -0.6874663 0.3969147 0.5907018 0 -0.80689 0.5524504 -0.7701088 -0.318953 0.7270726 -0.2627144 -0.634308 0.6081541 0.687465 -0.3969138 0.7270728 0.2627144 -0.6343076 0.6786142 0.6785953 -0.2810537 0.6546626 0.6546443 0.3779653 0 -0.923895 -0.3826461 0 -0.7070958 0.7071179 0.4581777 -0.8212139 0.3401191 0.4581671 -0.3401272 -0.8212165 2.62224e-5 0.3826531 -0.9238921 2.0059e-5 -0.7070984 -0.7071151 0.4581744 0.8212143 -0.3401222 0 0.7070977 -0.7071159 0 0.9238938 0.382649 0.5524524 0.7701066 0.3189549 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 2.00698e-5 0.707095 0.7071185 0.4581696 0.3401195 0.8212183 1 0 0 0 0.7071052 0.7071084 0 0.7071084 -0.7071052 0 0.7071084 -0.7071052 0 -0.7071066 0.707107 0 0.7071052 0.7071084 0 -0.7071098 -0.7071037 0 -0.7071066 0.707107 0 -0.7071098 -0.7071037 2.62225e-5 -0.3826445 0.9238957 1 0 0 1 0 0 0.5907037 0 0.8068885 0.7270722 0.262709 0.6343108 0.7270718 -0.262709 0.6343111 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660283 0.4999952 -1 0 0 -1 0 0 0 0.8660287 -0.4999943 -1 0 0 -1 0 0 0 0.8660287 -0.4999943 0 0 1 0 0.8660283 0.4999952 -1 0 0 0 -0.8660218 0.5000063 -1 0 0 0 0 1 -1 0 0 0 -0.8660222 -0.5000055 -1 0 0 -1 0 0 -1 0 0 0 -0.8660218 0.5000063 0 0 -1 0 -0.8660222 -0.5000055 -1 0 0 0 0 -1 0 -1 0 0 -0.5000002 -0.8660253 0 -1 0 0 -0.5000002 0.8660253 0 -0.5000002 0.8660253 0 0.5000159 0.8660162 0 0.5000159 0.8660162 0 1 0 0 1 0 0 0.5000159 -0.8660162 0 0.5000159 -0.8660162 0 -0.5000002 -0.8660253 0.654662 -0.6546449 -0.377965 0.678606 -0.6785882 0.2810907 0.6081722 -0.6874526 0.3969076 0.590694 0 -0.8068957 0.5524972 -0.7700637 -0.3189808 0.7270793 -0.2627439 -0.634288 0.608167 0.6874614 -0.3969001 0.7270798 0.2627357 -0.6342908 0.6785954 0.6785979 -0.2810932 0.6546535 0.6546559 0.3779609 0 -0.9238753 -0.3826937 0 -0.7070927 0.7071209 0.4581352 -0.8212159 0.3401712 0.4581282 -0.3401766 -0.8212177 4.58884e-5 0.3826882 -0.9238775 3.51416e-5 -0.7070927 -0.7071209 0.4581524 0.8212084 -0.3401663 0 0.7070837 -0.7071298 0 0.9238746 0.3826954 0.5524982 0.7700626 0.318982 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 3.26139e-5 0.7070837 0.7071298 0.4581304 0.3401659 0.8212209 1 0 0 0 0.7071 0.7071136 0 0.7071 -0.7071136 0 0.7071 -0.7071136 0 -0.7071108 0.7071028 0 0.7071 0.7071136 0 -0.7071108 -0.7071028 0 -0.7071108 0.7071028 0 -0.7071108 -0.7071028 4.26104e-5 -0.3826999 0.9238727 1 0 0 1 0 0 0.590694 0 0.8068957 0.7270798 0.2627357 0.6342908 0.7270793 -0.2627439 0.634288 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660276 0.4999961 -1 0 0 -1 0 0 0 0.8660276 -0.4999961 -1 0 0 -1 0 0 0 0.8660276 -0.4999961 0 0 1 0 0.8660276 0.4999961 -1 0 0 0 -0.8660218 0.5000063 -1 0 0 0 0 1 -1 0 0 0 -0.8660218 -0.5000063 -1 0 0 -1 0 0 -1 0 0 0 -0.8660218 0.5000063 0 0 -1 0 -0.8660218 -0.5000063 -1 0 0 0 0 -1 0 -1 0 0 -0.4999941 -0.8660288 0 -1 0 0 -0.5000019 0.8660243 0 -0.5000019 0.8660243 0 0.5000196 0.8660141 0 0.5000196 0.8660141 0 1 0 0 1 0 0 0.5000119 -0.8660185 0 0.5000119 -0.8660185 0 -0.4999941 -0.8660288 0.6546627 -0.6546443 -0.3779654 0.6786079 -0.6785887 0.2810851 0.6081699 -0.6874541 0.3969085 0.5906978 0 -0.8068928 0.5524955 -0.7700653 -0.3189798 0.7270803 -0.2627406 -0.6342883 0.608166 0.6874613 -0.3969018 0.7270805 0.2627313 -0.6342919 0.6785978 0.6785972 -0.2810887 0.654655 0.6546544 0.3779609 0 -0.923876 -0.382692 0 -0.7070937 0.70712 0.45814 -0.8212163 0.3401643 0.4581283 -0.3401728 -0.8212192 3.9333e-5 0.3826821 -0.9238801 3.00886e-5 -0.7070937 -0.70712 0.458156 0.8212085 -0.3401611 0 0.7070844 -0.7071291 0 0.9238789 0.3826852 0.5524887 0.7700718 0.3189759 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 3.51226e-5 0.7070844 0.7071291 0.458139 0.3401587 0.821219 1 0 0 0 0.7071022 0.7071114 0 0.7070991 -0.7071146 0 0.7070991 -0.7071146 0 -0.7071131 0.7071005 0 0.7071022 0.7071114 0 -0.7071099 -0.7071036 0 -0.7071131 0.7071005 0 -0.7071099 -0.7071036 4.58882e-5 -0.3826956 0.9238744 1 0 0 1 0 0 0.5906939 0 0.8068957 0.7270782 0.2627322 0.6342941 0.7270781 -0.2627415 0.6342905 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660089 0.5000286 -1 0 0 -1 0 0 -3.44132e-4 0.8660088 -0.5000286 -1 0 0 -1 0 0 0 0.8660218 -0.5000062 0 0 1 -3.44102e-4 0.8660217 0.5000061 -1 0 0 -3.46821e-4 -0.8660092 0.500028 -1 0 0 0 0 1 -1 0 0 0 -0.8660092 -0.500028 -1 0 0 -1 0 0 -1 0 0 0 -0.8660222 0.5000055 0 0 -1 -3.46755e-4 -0.8660221 -0.5000054 -1 0 0 0 0 -1 0 -1 0 0 -0.4999941 -0.8660288 0 -1 0 0 -0.5000019 0.8660243 0 -0.5000019 0.8660243 0 0.5000016 0.8660245 0 0.5000016 0.8660245 0 1 0 0 1 0 0 0.4999938 -0.866029 0 0.4999938 -0.866029 0 -0.4999941 -0.8660288 0.654662 -0.6546449 -0.377965 0.6786129 -0.6785952 0.2810571 0.6081557 -0.6874638 0.3969132 0.5906979 0 -0.8068929 0.5524598 -0.7700994 -0.3189592 0.727077 -0.2627326 -0.6342955 0.608159 0.6874613 -0.3969126 0.7270773 0.2627326 -0.6342952 0.6786125 0.6785935 -0.2810618 0.6546626 0.6546443 0.3779653 0 -0.9238907 -0.3826564 0 -0.7071129 0.7071007 0.4581588 -0.8212203 0.3401289 0.4581418 -0.340158 -0.8212178 3.9333e-5 0.3826821 -0.9238801 3.01652e-5 -0.7070944 -0.7071191 0.4581675 0.8212139 -0.3401328 0 0.7070937 -0.7071198 0 0.923891 0.3826558 0.5524593 0.7700999 0.3189589 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071121 0.7071014 0.4581458 0.3401574 0.8212159 1 0 0 0 0.7071131 0.7071003 0 0.70711 -0.7071036 0 0.70711 -0.7071036 0 -0.7071146 0.707099 0 0.7071131 0.7071003 0 -0.7071114 -0.7071022 0 -0.7071146 0.707099 0 -0.7071114 -0.7071022 0 -0.3826819 0.9238801 1 0 0 1 0 0 0.590694 0 0.8068957 0.727075 0.2627335 0.6342973 0.7270748 -0.2627335 0.6342977 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660152 0.5000178 -1 0 0 -1 0 0 -3.49509e-4 0.8660091 -0.5000282 -1 0 0 -1 0 0 0 0.8660222 -0.5000055 3.47705e-4 0 0.9999999 -1.75462e-4 0.8660218 0.5000063 -1 0 0 -1.70276e-4 -0.8660154 0.5000174 -1 0 0 3.47705e-4 0 0.9999999 -1 0 0 0 -0.8660093 -0.5000278 -1 0 0 -1 0 0 -1 0 0 0 -0.8660218 0.5000063 0 0 -1 -3.44102e-4 -0.8660221 -0.5000054 -1 0 0 0 0 -1 0 -1 0 0 -0.4999974 -0.8660268 0 -1 0 0 -0.4999974 0.8660268 0 -0.4999974 0.8660268 0 0.4999974 0.8660268 0 0.4999974 0.8660268 0 1 0 0 1 0 0 0.4999974 -0.8660268 0 0.4999974 -0.8660268 0 -0.4999974 -0.8660268 0.654662 -0.6546449 -0.377965 0.6786115 -0.6785937 0.2810643 0.6081593 -0.6874611 0.3969126 0.590694 0 -0.8068957 0.5524638 -0.7700956 -0.3189615 0.7270763 -0.2627357 -0.6342949 0.6081569 0.6874631 -0.3969128 0.7270758 0.262736 -0.6342955 0.6786125 0.6785948 -0.2810589 0.6546618 0.6546447 0.3779658 0 -0.9238891 -0.3826604 0 -0.7071098 0.7071039 0.4581543 -0.8212192 0.340138 0.4581412 -0.3401618 -0.8212165 0 0.3826861 -0.9238784 0 -0.7071111 -0.7071025 0.458157 0.8212204 -0.3401312 0 0.7071127 -0.7071009 0 0.9238905 0.3826569 0.5524596 0.7700995 0.3189598 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071114 0.7071021 0.4581401 0.340162 0.8212171 1 0 0 0 0.7071127 0.7071008 0 0.7071127 -0.7071008 0 0.7071127 -0.7071008 0 -0.7071108 0.7071027 0 0.7071127 0.7071008 0 -0.7071108 -0.7071027 0 -0.7071108 0.7071027 0 -0.7071108 -0.7071027 0 -0.3826861 0.9238784 1 0 0 1 0 0 0.590694 0 0.8068957 0.7270758 0.262736 0.6342955 0.7270763 -0.2627357 0.6342949 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660184 0.5000122 -1 0 0 -1 0 0 -2.47478e-4 0.8660188 -0.5000113 -1 0 0 -1 0 0 0 0.8660281 -0.4999953 1.98689e-4 0 1 -2.47467e-4 0.8660276 0.4999961 -1 0 0 -2.43441e-4 -0.8660126 0.5000221 -1 0 0 1.98689e-4 0 1 -1 0 0 0 -0.8660131 -0.5000213 -1 0 0 -1 0 0 -1 0 0 0 -0.8660218 0.5000063 1.98689e-4 0 -1 -2.43675e-4 -0.8660222 -0.5000055 -1 0 0 1.98689e-4 0 -1 0 -1 0 0 -0.4999903 -0.8660311 0 -1 0 0 -0.4999903 0.8660311 0 -0.4999903 0.8660311 0 0.500008 0.8660208 0 0.500008 0.8660208 0 1 0 0 1 0 0 0.500008 -0.8660208 0 0.500008 -0.8660208 0 -0.4999903 -0.8660311 0.6546629 -0.6546444 -0.3779647 0.678609 -0.6785898 0.2810796 0.6081662 -0.6874565 0.3969098 0.5907018 0 -0.80689 0.5524861 -0.7700747 -0.3189737 0.7270759 -0.2627224 -0.6343008 0.608161 0.687465 -0.396903 0.7270761 0.2627131 -0.6343044 0.6785995 0.6785988 -0.2810804 0.654655 0.6546544 0.3779609 0 -0.9238802 -0.3826817 0 -0.7071054 0.7071081 0.4581378 -0.8212198 0.3401585 0.4581536 -0.340142 -0.8212179 0 0.3826531 -0.9238921 0 -0.7071081 -0.7071055 0.4581553 0.8212127 -0.3401521 0 0.7070989 -0.7071146 0 0.9238816 0.3826783 0.5524818 0.7700784 0.3189719 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7070962 0.7071173 0.4581629 0.3401208 0.8212214 1 0 0 0 0.7070943 0.7071194 0 0.7070975 -0.7071163 0 0.7070975 -0.7071163 0 -0.7071051 0.7071085 0 0.7070943 0.7071194 0 -0.7071083 -0.7071053 0 -0.7071051 0.7071085 0 -0.7071083 -0.7071053 0 -0.3826582 0.9238899 1 0 0 1 0 0 0.5907038 0 0.8068886 0.7270754 0.2627077 0.6343076 0.7270752 -0.262717 0.6343039 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660126 0.5000221 -1 0 0 -1 0 0 -2.44785e-4 0.8660131 -0.5000213 1.98689e-4 0 0.9999999 -2.44813e-4 0.8660218 0.5000062 -1 0 0 -2.47474e-4 -0.8660129 0.5000216 -1 0 0 1.98689e-4 0 1 -1 0 0 0 -0.8660135 -0.5000208 -1 0 0 1.98689e-4 0 -0.9999999 -2.47465e-4 -0.8660226 -0.5000047 -1 0 0 1.98689e-4 0 -1 0 -0.7071064 0.7071073 0.4581701 -0.8212175 0.3401206 0 0.3826531 -0.9238921 0 -0.7071089 -0.7071046 0.4581667 0.821218 -0.3401237 0 0.7071082 -0.7071054 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071056 0.707108 1 0 0 0 0.7071052 0.7071084 0 0.7071083 -0.7071052 0 0.7071083 -0.7071052 0 -0.7071065 0.707107 0 0.7071052 0.7071084 0 -0.7071098 -0.7071039 0 -0.7071065 0.707107 0 -0.7071098 -0.7071039 0 -0.3826445 0.9238957 1 0 0 1 0 0 -1 0 0 0 0.8660218 0.5000063 -1 0 0 -1 0 0 -3.44135e-4 0.8660152 -0.5000175 -1 0 0 -1 0 0 0 0.8660283 -0.4999952 3.22869e-4 0 1 -1.83042e-4 0.8660287 0.4999943 -1 0 0 -1.88072e-4 -0.8660152 0.5000178 -1 0 0 3.22869e-4 0 1 -1 0 0 0 -0.8660086 -0.500029 -1 0 0 -1 0 0 -1 0 0 0 -0.8660222 0.5000055 0 0 -1 -3.49408e-4 -0.8660217 -0.5000063 -1 0 0 0 0 -1 0 -1 0 0 -0.5000002 -0.8660253 0 -1 0 0 -0.5000002 0.8660253 0 -0.5000002 0.8660253 0 0.5000159 0.8660162 0 0.5000159 0.8660162 0 1 0 0 1 0 0 0.5000159 -0.8660162 0 0.5000159 -0.8660162 0 -0.5000002 -0.8660253 0.6546618 -0.6546447 -0.3779658 0.6786062 -0.6785886 0.2810893 0.6081718 -0.6874531 0.3969071 0.590694 0 -0.8068957 0.5524964 -0.7700642 -0.318981 0.7270784 -0.2627414 -0.6342901 0.6081665 0.6874615 -0.396901 0.727079 0.2627332 -0.6342929 0.6785954 0.6785979 -0.2810932 0.6546537 0.6546561 0.3779602 0 -0.9238753 -0.3826937 0 -0.7071111 0.7071025 0.4581235 -0.8212221 0.340172 0.4581298 -0.3401725 -0.8212184 4.26107e-5 0.3826841 -0.9238793 3.26151e-5 -0.7070927 -0.7071209 0.4581524 0.8212084 -0.3401663 0 0.7070837 -0.7071298 0 0.9238753 0.3826937 0.5524972 0.7700637 0.3189808 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071022 0.7071114 0.4581327 0.3401653 0.8212198 1 0 0 0 0.7071 0.7071136 0 0.7071 -0.7071136 0 0.7071 -0.7071136 0 -0.7071108 0.7071027 0 0.7071 0.7071136 0 -0.7071108 -0.7071027 0 -0.7071108 0.7071027 0 -0.7071108 -0.7071027 0 -0.3826999 0.9238727 1 0 0 1 0 0 0.590694 0 0.8068957 0.7270798 0.2627357 0.6342908 0.7270793 -0.2627439 0.634288 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.8660218 0.5000063 -1 0 0 -1 0 0 -3.44135e-4 0.8660157 -0.5000167 3.47705e-4 0 1 -1.70537e-4 0.8660283 0.4999952 -1 0 0 -1.75653e-4 -0.8660152 0.5000178 -1 0 0 3.47705e-4 0 1 -1 0 0 0 -0.8660091 -0.5000282 -1 0 0 0 0 -1 -3.49408e-4 -0.8660221 -0.5000054 -1 0 0 0 0 -1 0 -0.7071098 0.7071039 0.4581228 -0.8212219 0.3401737 0 0.3826882 -0.9238775 0 -0.7071111 -0.7071025 0.458139 0.8212148 -0.340169 0 0.7071022 -0.7071114 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071008 0.7071127 1 0 0 0 0.7071 0.7071136 0 0.7071 -0.7071136 0 0.7071 -0.7071136 0 -0.7071108 0.7071027 0 0.7071 0.7071136 0 -0.7071108 -0.7071027 0 -0.7071108 0.7071027 0 -0.7071108 -0.7071027 0 -0.3826999 0.9238727 1 0 0 1 0 0 -1 0 0 0 0.3826562 0.9238908 -1 0 0 0 -0.3826653 0.923887 -1 0 0 0 -0.3826653 0.923887 -1 0 0 0 0.9238621 0.3827255 0 0.3826562 0.9238908 -1 0 0 0 0.9238621 -0.3827255 0 0.9238621 0.3827255 -1 0 0 0 0.3826555 -0.9238911 -1 0 0 -1 0 0 0 0.9238621 -0.3827255 -1 0 0 0 -0.3826647 -0.9238873 -1 0 0 0 0.3826555 -0.9238911 -1 0 0 0 -0.9238624 -0.3827248 0 -0.3826647 -0.9238873 -1 0 0 0 -0.9238624 0.3827248 0 -0.9238624 -0.3827248 -1 0 0 -1 0 0 0 -0.9238624 0.3827248 -0.9021891 -0.215683 0.3735448 -0.6548662 0.3778898 0.6544843 -0.894288 0.2512898 0.3702734 -0.6545599 -0.7560101 0 -0.6548612 -0.3778757 0.6544975 -0.3316569 -0.4983395 0.8010376 -0.6548681 -0.3778938 -0.6544801 -0.65456 -0.7560102 0 -0.9021897 0.2156795 -0.3735451 -0.8942871 -0.2512934 -0.3702729 -0.6545593 0.7560107 0 -0.6548597 0.3778731 -0.6545003 -0.331695 0.4983257 -0.8010305 -0.6545593 0.7560107 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3826825 0.9238799 0 -0.3826944 0.923875 0 -0.3826944 0.923875 -1 0 0 0 0.9238765 0.3826909 0 0.3826825 0.9238799 -1 0 0 0 0.9238772 -0.3826892 -1 0 0 -1 0 0 0 0.9238765 0.3826909 0 0.3826775 -0.923882 0 0.9238772 -0.3826892 0 -0.3826894 -0.9238771 0 0.3826775 -0.923882 0 -0.9238777 -0.3826879 0 -0.3826894 -0.9238771 0 -0.923877 0.3826897 0 -0.9238777 -0.3826879 0 -0.923877 0.3826897 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0.6546528 0.3779639 0.6546549 1 0 0 0.6546666 -0.3779628 0.6546418 1 0 0 0.6546521 -0.3779662 0.6546542 1 0 0 0.6546795 0.7559065 0 1 0 0 0.6546655 0.377956 0.6546468 1 0 0 0.6546667 0.3779591 -0.6546437 1 0 0 0.6546795 0.7559065 0 1 0 0 0.654652 -0.3779703 -0.654652 1 0 0 0.6546543 0.3779621 -0.6546543 1 0 0 0.6546769 -0.7559088 0 1 0 0 0.6546661 -0.3779615 -0.6546431 1 0 0 0.6546769 -0.7559089 0 0 0 -1 0 -0.8660246 -0.5000016 0 0 -1 0 0.8660234 -0.5000035 0 0.8660234 -0.5000035 0 0.8660232 0.5000037 0 0.8660232 0.5000037 0 0 1 0 0 1 0 -0.8660244 0.5000018 0 -0.8660244 0.5000018 0 -0.8660246 -0.5000016 0 -0.5000014 0.8660246 0 -0.5000014 0.8660246 0 0.4999955 0.866028 0 -1 0 0 -1 0 0 -0.5000031 -0.8660236 0 -0.5000031 -0.8660236 0 0.4999972 -0.866027 0 0.4999972 -0.866027 -0.3375589 -0.4706551 -0.8151918 0 0.4999955 0.866028 -0.3375235 0.4706543 0.815207 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.3826333 0.9239003 -1 0 0 0 -0.3826425 0.9238964 -1 0 0 0 -0.3826425 0.9238964 -1 0 0 0 0.9238621 0.3827255 0 0.3826333 0.9239003 -1 0 0 0 0.9238621 -0.3827255 0 0.9238621 0.3827255 -1 0 0 0 0.3826559 -0.923891 -1 0 0 -1 0 0 0 0.9238621 -0.3827255 -1 0 0 0 -0.382665 -0.9238871 -1 0 0 0 0.3826559 -0.923891 -1 0 0 0 -0.9238624 -0.3827248 0 -0.382665 -0.9238871 -1 0 0 0 -0.9238624 0.3827248 0 -0.9238624 -0.3827248 -1 0 0 -1 0 0 0 -0.9238624 0.3827248 -0.9021891 -0.215683 0.3735448 -0.6548662 0.3778898 0.6544843 -0.894288 0.2512898 0.3702734 -0.6545599 -0.7560101 0 -0.6548616 -0.3778769 0.6544963 -0.3316994 -0.498331 0.8010255 -0.6548681 -0.3778938 -0.6544801 -0.6545599 -0.7560101 0 -0.9021897 0.2156795 -0.3735451 -0.8942871 -0.2512934 -0.3702729 -0.6545593 0.7560107 0 -0.6548594 0.3778721 -0.6545013 -0.3316614 0.4983326 -0.8010402 -0.6545593 0.7560107 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3826775 0.923882 0 -0.3826894 0.9238771 0 -0.3826894 0.9238771 -1 0 0 0 0.9238772 0.3826892 0 0.3826775 0.923882 -1 0 0 0 0.9238764 -0.3826911 -1 0 0 -1 0 0 0 0.9238772 0.3826892 0 0.3826825 -0.9238799 0 0.9238764 -0.3826911 0 -0.3826944 -0.923875 0 0.3826825 -0.9238799 0 -0.923877 -0.3826898 0 -0.3826944 -0.923875 0 -0.9238777 0.3826879 0 -0.923877 -0.3826898 0 -0.9238777 0.3826879 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0.6546535 0.3779651 0.6546535 1 0 0 0.654667 -0.377964 0.6546406 1 0 0 0.6546528 -0.3779674 0.6546528 1 0 0 0.6546796 0.7559065 0 1 0 0 0.6546661 0.3779572 0.6546455 1 0 0 0.6546663 0.3779581 -0.6546447 1 0 0 0.6546795 0.7559065 0 1 0 0 0.6546519 -0.3779692 -0.6546528 1 0 0 0.6546542 0.377961 -0.6546552 1 0 0 0.6546769 -0.7559088 0 1 0 0 0.6546657 -0.3779605 -0.654644 1 0 0 0.6546769 -0.7559088 0 0 0 -1 0 -0.8660244 -0.5000018 0 0 -1 0 0.8660232 -0.5000037 0 0.8660232 -0.5000037 0 0.8660233 0.5000036 0 0.8660233 0.5000036 0 0 1 0 0 1 0 -0.8660245 0.5000017 0 -0.8660245 0.5000017 0 -0.8660244 -0.5000018 0 -0.5000034 0.8660234 0 -0.5000034 0.8660234 0 0.4999974 0.8660268 0 -1 0 0 -1 0 0 -0.5000016 -0.8660244 0 -0.5000016 -0.8660244 0 0.4999957 -0.8660279 0 0.4999957 -0.8660279 -0.3375254 -0.4706597 -0.8152031 0 0.4999974 0.8660268 -0.3375661 0.4706485 0.8151927 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.3826653 0.923887 -1 0 0 0 -0.3826562 0.9238908 -1 0 0 0 -0.3826562 0.9238908 -1 0 0 0 0.9238624 0.3827248 0 0.3826653 0.923887 -1 0 0 0 0.9238624 -0.3827248 0 0.9238624 0.3827248 -1 0 0 0 0.3826647 -0.9238873 -1 0 0 -1 0 0 0 0.9238624 -0.3827248 -1 0 0 0 -0.3826555 -0.9238911 -1 0 0 0 0.3826647 -0.9238873 -1 0 0 0 -0.9238621 -0.3827255 0 -0.3826555 -0.9238911 -1 0 0 0 -0.9238621 0.3827255 0 -0.9238621 -0.3827255 -1 0 0 -1 0 0 0 -0.9238621 0.3827255 -0.9021897 -0.2156795 0.3735451 -0.6548681 0.3778938 0.6544801 -0.8942871 0.2512934 0.3702729 -0.6545593 -0.7560107 0 -0.6548593 -0.377872 0.6545014 -0.3316585 -0.4983332 0.801041 -0.6548662 -0.3778898 -0.6544843 -0.6545593 -0.7560107 0 -0.9021891 0.215683 -0.3735448 -0.894288 -0.2512898 -0.3702734 -0.6545599 0.7560101 0 -0.6548616 0.3778768 -0.6544964 -0.3316935 0.4983321 -0.8010272 -0.65456 0.7560102 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3826944 0.923875 0 -0.3826825 0.9238799 0 -0.3826825 0.9238799 -1 0 0 0 0.923877 0.3826897 0 0.3826944 0.923875 -1 0 0 0 0.9238777 -0.3826879 -1 0 0 -1 0 0 0 0.923877 0.3826897 0 0.3826894 -0.9238771 0 0.9238777 -0.3826879 0 -0.3826775 -0.923882 0 0.3826894 -0.9238771 0 -0.9238772 -0.3826892 0 -0.3826775 -0.923882 0 -0.9238765 0.3826909 0 -0.9238772 -0.3826892 0 -0.9238765 0.3826909 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0.6546513 0.3779695 0.6546533 1 0 0 0.6546663 -0.3779581 0.6546447 1 0 0 0.6546536 -0.377961 0.6546556 1 0 0 0.6546769 0.7559088 0 1 0 0 0.6546656 0.3779604 0.6546441 1 0 0 0.654667 0.3779638 -0.6546408 1 0 0 0.6546769 0.7559089 0 1 0 0 0.6546536 -0.3779648 -0.6546536 1 0 0 0.6546528 0.3779671 -0.6546528 1 0 0 0.6546795 -0.7559065 0 1 0 0 0.654666 -0.3779571 -0.6546457 1 0 0 0.6546795 -0.7559065 0 0 0 -1 0 -0.8660234 -0.5000035 0 0 -1 0 0.8660246 -0.5000016 0 0.8660246 -0.5000016 0 0.8660244 0.5000018 0 0.8660244 0.5000018 0 0 1 0 0 1 0 -0.8660232 0.5000037 0 -0.8660232 0.5000037 0 -0.8660234 -0.5000035 0 -0.4999955 0.866028 0 -0.4999955 0.866028 0 0.5000014 0.8660246 0 -1 0 0 -1 0 0 -0.4999972 -0.866027 0 -0.4999972 -0.866027 0 0.5000031 -0.8660236 0 0.5000031 -0.8660236 -0.3375601 -0.4706494 -0.8151947 0 0.5000014 0.8660246 -0.3375224 0.4706601 0.8152042 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 0.3826425 0.9238964 -1 0 0 0 -0.3826333 0.9239003 -1 0 0 0 -0.3826333 0.9239003 -1 0 0 0 0.9238624 0.3827248 0 0.3826425 0.9238964 -1 0 0 0 0.9238624 -0.3827248 0 0.9238624 0.3827248 -1 0 0 0 0.382665 -0.9238871 -1 0 0 -1 0 0 0 0.9238624 -0.3827248 -1 0 0 0 -0.3826559 -0.923891 -1 0 0 0 0.382665 -0.9238871 -1 0 0 0 -0.9238621 -0.3827255 0 -0.3826559 -0.923891 -1 0 0 0 -0.9238621 0.3827255 0 -0.9238621 -0.3827255 -1 0 0 -1 0 0 0 -0.9238621 0.3827255 -0.9021897 -0.2156795 0.3735451 -0.6548681 0.3778938 0.6544801 -0.8942871 0.2512934 0.3702729 -0.6545593 -0.7560107 0 -0.6548598 -0.3778733 0.6545002 -0.3317009 -0.4983246 0.8010288 -0.6548662 -0.3778898 -0.6544843 -0.6545593 -0.7560107 0 -0.9021891 0.215683 -0.3735448 -0.894288 -0.2512898 -0.3702734 -0.6545599 0.7560101 0 -0.6548613 0.3778758 -0.6544973 -0.3316599 0.4983389 -0.8010368 -0.6545599 0.7560101 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.3826894 0.9238771 0 -0.3826775 0.923882 0 -0.3826775 0.923882 -1 0 0 0 0.9238777 0.3826879 0 0.3826894 0.9238771 -1 0 0 0 0.923877 -0.3826898 -1 0 0 -1 0 0 0 0.9238777 0.3826879 0 0.3826944 -0.923875 0 0.923877 -0.3826898 0 -0.3826825 -0.9238799 0 0.3826944 -0.923875 0 -0.9238764 -0.3826911 0 -0.3826825 -0.9238799 0 -0.9238772 0.3826892 0 -0.9238764 -0.3826911 0 -0.9238772 0.3826892 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0.6546519 0.3779706 0.6546519 1 0 0 0.6546668 -0.3779593 0.6546435 1 0 0 0.6546543 -0.3779623 0.6546543 1 0 0 0.6546769 0.7559088 0 1 0 0 0.6546661 0.3779617 0.6546429 1 0 0 0.6546666 0.3779628 -0.6546418 1 0 0 0.6546769 0.7559088 0 1 0 0 0.6546534 -0.3779637 -0.6546545 1 0 0 0.6546527 0.377966 -0.6546537 1 0 0 0.6546796 -0.7559065 0 1 0 0 0.6546655 -0.377956 -0.6546466 1 0 0 0.6546795 -0.7559065 0 0 0 -1 0 -0.8660232 -0.5000037 0 0 -1 0 0.8660244 -0.5000018 0 0.8660244 -0.5000018 0 0.8660245 0.5000017 0 0.8660245 0.5000017 0 0 1 0 0 1 0 -0.8660233 0.5000036 0 -0.8660233 0.5000036 0 -0.8660232 -0.5000037 0 -0.4999974 0.8660268 0 -0.4999974 0.8660268 0 0.5000034 0.8660234 0 -1 0 0 -1 0 0 -0.4999957 -0.8660279 0 -0.4999957 -0.8660279 0 0.5000016 -0.8660244 0 0.5000016 -0.8660244 -0.3375266 -0.470654 -0.8152059 0 0.5000034 0.8660234 -0.3375649 0.4706543 0.8151898 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3826562 0.9238908 1 0 0 0 0.3826653 0.923887 1 0 0 0 0.3826653 0.923887 1 0 0 0 -0.9238621 0.3827255 0 -0.3826562 0.9238908 1 0 0 0 -0.9238621 -0.3827255 0 -0.9238621 0.3827255 1 0 0 0 -0.3826555 -0.9238911 1 0 0 1 0 0 0 -0.9238621 -0.3827255 1 0 0 0 0.3826647 -0.9238873 1 0 0 0 -0.3826555 -0.9238911 1 0 0 0 0.9238624 -0.3827248 0 0.3826647 -0.9238873 1 0 0 0 0.9238624 0.3827248 0 0.9238624 -0.3827248 1 0 0 1 0 0 0 0.9238624 0.3827248 0.9021891 0.215683 0.3735448 0.6548662 -0.3778898 0.6544843 0.894288 -0.2512898 0.3702734 0.6545599 0.7560101 0 0.6548612 0.3778757 0.6544975 0.3316569 0.4983395 0.8010376 0.6548681 0.3778938 -0.6544801 0.65456 0.7560102 0 0.9021897 -0.2156795 -0.3735451 0.8942871 0.2512934 -0.3702729 0.6545593 -0.7560107 0 0.6548597 -0.3778731 -0.6545003 0.331695 -0.4983257 -0.8010305 0.6545593 -0.7560107 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3826825 0.9238799 0 0.3826944 0.923875 0 0.3826944 0.923875 1 0 0 0 -0.9238765 0.3826909 0 -0.3826825 0.9238799 1 0 0 0 -0.9238772 -0.3826892 1 0 0 1 0 0 0 -0.9238765 0.3826909 0 -0.3826775 -0.923882 0 -0.9238772 -0.3826892 0 0.3826894 -0.9238771 0 -0.3826775 -0.923882 0 0.9238777 -0.3826879 0 0.3826894 -0.9238771 0 0.923877 0.3826897 0 0.9238777 -0.3826879 0 0.923877 0.3826897 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -0.6546528 -0.3779639 0.6546549 -1 0 0 -0.6546666 0.3779628 0.6546418 -1 0 0 -0.6546521 0.3779662 0.6546542 -1 0 0 -0.6546795 -0.7559065 0 -1 0 0 -0.6546655 -0.377956 0.6546468 -1 0 0 -0.6546667 -0.3779591 -0.6546437 -1 0 0 -0.6546795 -0.7559065 0 -1 0 0 -0.654652 0.3779703 -0.654652 -1 0 0 -0.6546543 -0.3779621 -0.6546543 -1 0 0 -0.6546769 0.7559088 0 -1 0 0 -0.6546661 0.3779615 -0.6546431 -1 0 0 -0.6546769 0.7559089 0 0 0 -1 0 0.8660246 -0.5000016 0 0 -1 0 -0.8660234 -0.5000035 0 -0.8660234 -0.5000035 0 -0.8660232 0.5000037 0 -0.8660232 0.5000037 0 0 1 0 0 1 0 0.8660244 0.5000018 0 0.8660244 0.5000018 0 0.8660246 -0.5000016 0 0.5000014 0.8660246 0 0.5000014 0.8660246 0 -0.4999955 0.866028 0 1 0 0 1 0 0 0.5000031 -0.8660236 0 0.5000031 -0.8660236 0 -0.4999972 -0.866027 0 -0.4999972 -0.866027 0.3375589 0.4706551 -0.8151918 0 -0.4999955 0.866028 0.3375235 -0.4706543 0.815207 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 -0.3826333 0.9239003 1 0 0 0 0.3826425 0.9238964 1 0 0 0 0.3826425 0.9238964 1 0 0 0 -0.9238621 0.3827255 0 -0.3826333 0.9239003 1 0 0 0 -0.9238621 -0.3827255 0 -0.9238621 0.3827255 1 0 0 0 -0.3826559 -0.923891 1 0 0 1 0 0 0 -0.9238621 -0.3827255 1 0 0 0 0.382665 -0.9238871 1 0 0 0 -0.3826559 -0.923891 1 0 0 0 0.9238624 -0.3827248 0 0.382665 -0.9238871 1 0 0 0 0.9238624 0.3827248 0 0.9238624 -0.3827248 1 0 0 1 0 0 0 0.9238624 0.3827248 0.9021891 0.215683 0.3735448 0.6548662 -0.3778898 0.6544843 0.894288 -0.2512898 0.3702734 0.6545599 0.7560101 0 0.6548616 0.3778769 0.6544963 0.3316994 0.498331 0.8010255 0.6548681 0.3778938 -0.6544801 0.6545599 0.7560101 0 0.9021897 -0.2156795 -0.3735451 0.8942871 0.2512934 -0.3702729 0.6545593 -0.7560107 0 0.6548594 -0.3778721 -0.6545013 0.3316614 -0.4983326 -0.8010402 0.6545593 -0.7560107 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3826775 0.923882 0 0.3826894 0.9238771 0 0.3826894 0.9238771 1 0 0 0 -0.9238772 0.3826892 0 -0.3826775 0.923882 1 0 0 0 -0.9238764 -0.3826911 1 0 0 1 0 0 0 -0.9238772 0.3826892 0 -0.3826825 -0.9238799 0 -0.9238764 -0.3826911 0 0.3826944 -0.923875 0 -0.3826825 -0.9238799 0 0.923877 -0.3826898 0 0.3826944 -0.923875 0 0.9238777 0.3826879 0 0.923877 -0.3826898 0 0.9238777 0.3826879 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -0.6546535 -0.3779651 0.6546535 -1 0 0 -0.654667 0.377964 0.6546406 -1 0 0 -0.6546528 0.3779674 0.6546528 -1 0 0 -0.6546796 -0.7559065 0 -1 0 0 -0.6546661 -0.3779572 0.6546455 -1 0 0 -0.6546663 -0.3779581 -0.6546447 -1 0 0 -0.6546795 -0.7559065 0 -1 0 0 -0.6546519 0.3779692 -0.6546528 -1 0 0 -0.6546542 -0.377961 -0.6546552 -1 0 0 -0.6546769 0.7559088 0 -1 0 0 -0.6546657 0.3779605 -0.654644 -1 0 0 -0.6546769 0.7559088 0 0 0 -1 0 0.8660244 -0.5000018 0 0 -1 0 -0.8660232 -0.5000037 0 -0.8660232 -0.5000037 0 -0.8660233 0.5000036 0 -0.8660233 0.5000036 0 0 1 0 0 1 0 0.8660245 0.5000017 0 0.8660245 0.5000017 0 0.8660244 -0.5000018 0 0.5000034 0.8660234 0 0.5000034 0.8660234 0 -0.4999974 0.8660268 0 1 0 0 1 0 0 0.5000016 -0.8660244 0 0.5000016 -0.8660244 0 -0.4999957 -0.8660279 0 -0.4999957 -0.8660279 0.3375254 0.4706597 -0.8152031 0 -0.4999974 0.8660268 0.3375661 -0.4706485 0.8151927 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 -0.3826653 0.923887 1 0 0 0 0.3826562 0.9238908 1 0 0 0 0.3826562 0.9238908 1 0 0 0 -0.9238624 0.3827248 0 -0.3826653 0.923887 1 0 0 0 -0.9238624 -0.3827248 0 -0.9238624 0.3827248 1 0 0 0 -0.3826647 -0.9238873 1 0 0 1 0 0 0 -0.9238624 -0.3827248 1 0 0 0 0.3826555 -0.9238911 1 0 0 0 -0.3826647 -0.9238873 1 0 0 0 0.9238621 -0.3827255 0 0.3826555 -0.9238911 1 0 0 0 0.9238621 0.3827255 0 0.9238621 -0.3827255 1 0 0 1 0 0 0 0.9238621 0.3827255 0.9021897 0.2156795 0.3735451 0.6548681 -0.3778938 0.6544801 0.8942871 -0.2512934 0.3702729 0.6545593 0.7560107 0 0.6548593 0.377872 0.6545014 0.3316585 0.4983332 0.801041 0.6548662 0.3778898 -0.6544843 0.6545593 0.7560107 0 0.9021891 -0.215683 -0.3735448 0.894288 0.2512898 -0.3702734 0.6545599 -0.7560101 0 0.6548616 -0.3778768 -0.6544964 0.3316935 -0.4983321 -0.8010272 0.65456 -0.7560102 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3826944 0.923875 0 0.3826825 0.9238799 0 0.3826825 0.9238799 1 0 0 0 -0.923877 0.3826897 0 -0.3826944 0.923875 1 0 0 0 -0.9238777 -0.3826879 1 0 0 1 0 0 0 -0.923877 0.3826897 0 -0.3826894 -0.9238771 0 -0.9238777 -0.3826879 0 0.3826775 -0.923882 0 -0.3826894 -0.9238771 0 0.9238772 -0.3826892 0 0.3826775 -0.923882 0 0.9238765 0.3826909 0 0.9238772 -0.3826892 0 0.9238765 0.3826909 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -0.6546513 -0.3779695 0.6546533 -1 0 0 -0.6546663 0.3779581 0.6546447 -1 0 0 -0.6546536 0.377961 0.6546556 -1 0 0 -0.6546769 -0.7559088 0 -1 0 0 -0.6546656 -0.3779604 0.6546441 -1 0 0 -0.654667 -0.3779638 -0.6546408 -1 0 0 -0.6546769 -0.7559089 0 -1 0 0 -0.6546536 0.3779648 -0.6546536 -1 0 0 -0.6546528 -0.3779671 -0.6546528 -1 0 0 -0.6546795 0.7559065 0 -1 0 0 -0.654666 0.3779571 -0.6546457 -1 0 0 -0.6546795 0.7559065 0 0 0 -1 0 0.8660234 -0.5000035 0 0 -1 0 -0.8660246 -0.5000016 0 -0.8660246 -0.5000016 0 -0.8660244 0.5000018 0 -0.8660244 0.5000018 0 0 1 0 0 1 0 0.8660232 0.5000037 0 0.8660232 0.5000037 0 0.8660234 -0.5000035 0 0.4999955 0.866028 0 0.4999955 0.866028 0 -0.5000014 0.8660246 0 1 0 0 1 0 0 0.4999972 -0.866027 0 0.4999972 -0.866027 0 -0.5000031 -0.8660236 0 -0.5000031 -0.8660236 0.3375601 0.4706494 -0.8151947 0 -0.5000014 0.8660246 0.3375224 -0.4706601 0.8152042 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 -0.3826425 0.9238964 1 0 0 0 0.3826333 0.9239003 1 0 0 0 0.3826333 0.9239003 1 0 0 0 -0.9238624 0.3827248 0 -0.3826425 0.9238964 1 0 0 0 -0.9238624 -0.3827248 0 -0.9238624 0.3827248 1 0 0 0 -0.382665 -0.9238871 1 0 0 1 0 0 0 -0.9238624 -0.3827248 1 0 0 0 0.3826559 -0.923891 1 0 0 0 -0.382665 -0.9238871 1 0 0 0 0.9238621 -0.3827255 0 0.3826559 -0.923891 1 0 0 0 0.9238621 0.3827255 0 0.9238621 -0.3827255 1 0 0 1 0 0 0 0.9238621 0.3827255 0.9021897 0.2156795 0.3735451 0.6548681 -0.3778938 0.6544801 0.8942871 -0.2512934 0.3702729 0.6545593 0.7560107 0 0.6548598 0.3778733 0.6545002 0.3317009 0.4983246 0.8010288 0.6548662 0.3778898 -0.6544843 0.6545593 0.7560107 0 0.9021891 -0.215683 -0.3735448 0.894288 0.2512898 -0.3702734 0.6545599 -0.7560101 0 0.6548613 -0.3778758 -0.6544973 0.3316599 -0.4983389 -0.8010368 0.6545599 -0.7560101 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.3826894 0.9238771 0 0.3826775 0.923882 0 0.3826775 0.923882 1 0 0 0 -0.9238777 0.3826879 0 -0.3826894 0.9238771 1 0 0 0 -0.923877 -0.3826898 1 0 0 1 0 0 0 -0.9238777 0.3826879 0 -0.3826944 -0.923875 0 -0.923877 -0.3826898 0 0.3826825 -0.9238799 0 -0.3826944 -0.923875 0 0.9238764 -0.3826911 0 0.3826825 -0.9238799 0 0.9238772 0.3826892 0 0.9238764 -0.3826911 0 0.9238772 0.3826892 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -0.6546519 -0.3779706 0.6546519 -1 0 0 -0.6546668 0.3779593 0.6546435 -1 0 0 -0.6546543 0.3779623 0.6546543 -1 0 0 -0.6546769 -0.7559088 0 -1 0 0 -0.6546661 -0.3779617 0.6546429 -1 0 0 -0.6546666 -0.3779628 -0.6546418 -1 0 0 -0.6546769 -0.7559088 0 -1 0 0 -0.6546534 0.3779637 -0.6546545 -1 0 0 -0.6546527 -0.377966 -0.6546537 -1 0 0 -0.6546796 0.7559065 0 -1 0 0 -0.6546655 0.377956 -0.6546466 -1 0 0 -0.6546795 0.7559065 0 0 0 -1 0 0.8660232 -0.5000037 0 0 -1 0 -0.8660244 -0.5000018 0 -0.8660244 -0.5000018 0 -0.8660245 0.5000017 0 -0.8660245 0.5000017 0 0 1 0 0 1 0 0.8660233 0.5000036 0 0.8660233 0.5000036 0 0.8660232 -0.5000037 0 0.4999974 0.8660268 0 0.4999974 0.8660268 0 -0.5000034 0.8660234 0 1 0 0 1 0 0 0.4999957 -0.8660279 0 0.4999957 -0.8660279 0 -0.5000016 -0.8660244 0 -0.5000016 -0.8660244 0.3375266 0.470654 -0.8152059 0 -0.5000034 0.8660234 0.3375649 -0.4706543 0.8151898 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 -0.2810452 -0.6786329 0.6785802 0 0 1 -0.6999803 -0.2898858 0.652682 0 0 1 -0.6229153 -0.3596097 0.6947356 0 0 1 0.2898893 -0.6999886 0.6526716 0 0 1 0 -0.6961256 0.7179201 -0.3954575 -0.6849401 0.6119398 0 0 1 0.6786326 -0.281045 0.6785805 0.3596357 -0.6228958 0.6947395 0 0 1 0.699981 0.2898813 0.6526833 0 0 1 0.6961161 0 0.7179292 0.6849399 -0.3954164 0.6119666 0 0 1 0.2810425 0.6786245 0.6785897 0 0 1 0 0 1 0 0 1 0.6229091 0.3596103 0.6947408 0 0 1 -0.2898865 0.6999798 0.6526823 0 0 1 0.395453 0.6849324 0.6119514 0 0.6961161 0.7179292 0 0 1 -0.6786317 0.28104 0.6785835 0 0 1 -0.3596316 0.6228889 0.6947479 0 0 1 -0.6961161 0 0.7179292 -0.6849393 0.3954207 0.6119645 0 0 1 -0.6786329 0.2810452 0.6785802 0 0 1 -0.2898858 0.6999803 0.652682 -0.3596097 0.6229153 0.6947356 0 0 1 -0.6999886 -0.2898893 0.6526716 0 0 1 -0.6961256 0 0.7179201 -0.6849401 0.3954575 0.6119398 0 0 1 -0.281045 -0.6786326 0.6785805 0 0 1 0 0 1 -0.6228958 -0.3596357 0.6947395 0 0 1 0.2898813 -0.699981 0.6526833 0 0 1 0 -0.6961161 0.7179292 -0.3954164 -0.6849399 0.6119666 0 0 1 0.6786245 -0.2810425 0.6785897 0 0 1 0.3596103 -0.6229091 0.6947408 0 0 1 0.6999798 0.2898865 0.6526823 0.6849324 -0.395453 0.6119514 0.6961161 0 0.7179292 0 0 1 0.28104 0.6786317 0.6785835 0 0 1 0 0 1 0 0 1 0.6228889 0.3596316 0.6947479 0 0.6961161 0.7179292 0.3954207 0.6849393 0.6119645 0 0 1 0.2810452 0.6786329 0.6785802 0 0 1 0.6999803 0.2898858 0.652682 0 0 1 0 0 1 0 0 1 0.6229153 0.3596097 0.6947356 0 0 1 -0.2898893 0.6999886 0.6526716 0 0 1 0 0.6961256 0.7179201 0.3954575 0.6849401 0.6119398 0 0 1 -0.6786326 0.281045 0.6785805 -0.3596357 0.6228958 0.6947395 0 0 1 -0.699981 -0.2898813 0.6526833 0 0 1 -0.6961161 0 0.7179292 -0.6849399 0.3954164 0.6119666 0 0 1 -0.2810425 -0.6786245 0.6785897 0 0 1 0 0 1 0 0 1 -0.6229091 -0.3596103 0.6947408 0 0 1 0.2898865 -0.6999798 0.6526823 0 0 1 -0.395453 -0.6849324 0.6119514 0 -0.6961161 0.7179292 0 0 1 0.6786317 -0.28104 0.6785835 0 0 1 0 0 1 0 0 1 0.3596316 -0.6228889 0.6947479 0 0 1 0.6961161 0 0.7179292 0.6849393 -0.3954207 0.6119645 0 0 1 0.6786329 -0.2810452 0.6785802 0 0 1 0.2898858 -0.6999803 0.652682 0.3596097 -0.6229153 0.6947356 0 0 1 0.6999886 0.2898893 0.6526716 0 0 1 0.6961256 0 0.7179201 0.6849401 -0.3954575 0.6119398 0 0 1 0.281045 0.6786326 0.6785805 0 0 1 0 0 1 0.6228958 0.3596357 0.6947395 0 0 1 -0.2898813 0.699981 0.6526833 0 0 1 0 0 1 0 0 1 0 0.6961161 0.7179292 0.3954164 0.6849399 0.6119666 0 0 1 -0.6786245 0.2810425 0.6785897 0 0 1 -0.3596103 0.6229091 0.6947408 0 0 1 -0.6999798 -0.2898865 0.6526823 0 0 1 -0.6849324 0.395453 0.6119514 -0.6961161 0 0.7179292 0 0 1 -0.28104 -0.6786317 0.6785835 0 0 1 0 0 1 -0.6228889 -0.3596316 0.6947479 0 -0.6961161 0.7179292 -0.3954207 -0.6849393 0.6119645 0.3809382 0.6062363 0.6981143 0.6061289 0.3808707 0.6982443 0.6062423 0.3809307 0.6981133 0.08022642 0.7117677 0.6978184 0.3808621 0.6061331 0.6982454 0 0 1 -0.2365743 0.6761465 0.6977526 0 0 1 0.08016473 0.7114406 0.6981589 0 0 1 -0.5064802 0.5064802 0.6978221 0 0 1 -0.2365118 0.6759139 0.697999 0 0 1 -0.6759216 0.2364957 0.6979969 0 0 1 -0.5064802 0.5064802 0.6978222 -0.7114406 -0.08018952 0.6981561 0 0 1 0 0 1 -0.6761425 0.2365918 0.6977505 -0.6061289 -0.3808707 0.6982443 -0.7117732 -0.08020216 0.6978155 -0.3809382 -0.6062363 0.6981143 0 0 1 -0.6062423 -0.3809307 0.6981133 -0.08022642 -0.7117677 0.6978184 -0.3808623 -0.6061334 0.6982451 0 0 1 0.2365743 -0.6761465 0.6977526 0 0 1 -0.08016473 -0.7114406 0.6981589 0 0 1 0.5064802 -0.5064802 0.6978221 0 0 1 0.2365118 -0.6759139 0.697999 0 0 1 0.6759216 -0.2364957 0.6979969 0 0 1 0.5064802 -0.5064802 0.6978222 0.7114406 0.08018952 0.6981561 0 0 1 0.6761425 -0.2365918 0.6977505 0.7117732 0.08020216 0.6978155 -0.09696978 -0.9952873 0 1 0 0 0 0 1 -0.6548531 -0.7557561 4.66428e-5 0 0 1 0 0 1 -0.09712928 -0.9952718 -3.89236e-5 -0.723462 -0.6903641 0 -0.6549984 -0.7556303 0 0 0 1 -0.3736557 -0.9275676 0 -0.723462 -0.6903641 0 0 0 1 -0.3659749 -0.9306248 0 0 0 1 -0.3736557 -0.9275676 0 0 0 1 -0.7070995 -0.7071141 1.95804e-5 -0.3659679 -0.9306274 7.75012e-6 -0.930621 -0.3659841 5.81714e-6 -0.7071051 -0.7071084 1.12392e-5 -0.9275675 -0.3736556 0 -0.9306231 -0.3659789 0 0 0 1 -0.6904334 -0.723396 0 -0.9275675 -0.3736556 0 -0.7765831 -0.6300149 0 -0.6904334 -0.723396 0 -1 7.42622e-5 0 -0.7765831 -0.6300149 0 -0.776505 0.630111 -1.26961e-5 -1 1.48547e-5 1.58939e-5 -0.6903641 0.723462 0 -0.7765349 0.6300742 0 -0.9275416 0.3737201 0 -0.6903641 0.723462 0 -0.9824292 0.1866358 0 -0.9275416 0.3737201 0 -0.9749026 0.2226315 0 -0.9824292 0.1866358 0 0 0 1 0 -1 0 0 -1 0 -0.9749026 0.2226315 0 0.4245034 -0.9054263 0 0 -1 0 0.8086578 -0.5882793 0 0.4245034 -0.9054263 0 0.8580641 -0.5135427 0 0.8086578 -0.5882793 0 0.6495603 -0.7603101 9.9071e-6 0.6495716 -0.7603005 -1.47521e-5 0.8580642 -0.5135426 1.37058e-7 0.3733365 -0.927696 -1.40219e-6 0.3603302 -0.9328249 0 0.3733373 -0.9276956 0 0.6167111 -0.7871896 0 0.3603302 -0.9328249 0 0.3952174 -0.9185876 0 0.6167111 -0.7871896 0 -0.3952174 -0.9185876 4.42579e-5 0.3952816 -0.91856 4.42566e-5 0 0 1 -0.6167111 -0.7871896 0 0 0 1 -0.3952816 -0.91856 0 0 0 1 -0.3603302 -0.9328249 0 0 0 1 -0.6167111 -0.7871896 0 0 0 1 -0.3974503 -0.9176237 0 0 0 1 -0.3603302 -0.9328249 0 -0.7071027 -0.7070735 0.007259964 -0.4365618 -0.8988508 0.03848201 -0.5228154 -0.8524339 0.004532337 -0.28684 -0.9350391 0.2083862 -0.5453581 -0.8382028 7.58494e-4 -0.5562481 -0.8310163 0 -0.5636832 -0.825991 -3.04993e-4 -0.9173588 -0.3973132 0.0243923 -0.6558859 -0.7522793 0.06236559 -0.6448954 -0.7609134 0.07155835 -0.7537091 -0.6571325 0.009965837 -0.8061339 -0.591732 0.001100301 -0.8271932 -0.5619176 -3.97493e-4 -0.8382065 -0.5453524 7.55607e-4 -0.9328249 -0.3603302 0 -0.9560252 -0.2932848 0 -0.892911 -0.4336718 0.120991 -0.5465055 -0.6073278 0.5766149 -0.7871896 -0.6167111 0 -0.9328249 -0.3603302 0 -0.9185876 -0.3952174 0 -0.7871896 -0.6167111 0 -0.9185876 0.3952174 4.42579e-5 -0.91856 -0.3952816 4.42566e-5 -0.7871896 0.6167111 0 -0.91856 0.3952816 0 -0.9328249 0.3603302 0 -0.7871896 0.6167111 0 -0.9276931 0.3733438 0 -0.9328249 0.3603302 0 -0.7602929 0.6495804 6.58903e-6 -0.9276903 0.3733505 -1.20558e-5 -0.5135367 0.8580676 6.95668e-6 -0.7602866 0.6495878 -9.58872e-6 -0.5882793 0.8086578 0 -0.5135331 0.8580698 0 0 0 1 -0.9054263 0.4245034 0 -0.5882793 0.8086578 0 -1 0 0 -1 0 0 -1 0 0 -0.9054263 0.4245034 0 0.2225857 -0.9749132 0 0.1864555 -0.9824634 0 0.2225857 -0.9749132 0 0.3729076 -0.9278684 0 0.1864555 -0.9824634 0 0.7221943 -0.6916903 0 0.3729076 -0.9278684 0 0.7297025 -0.6837649 0 0.7221943 -0.6916903 0 0.4020041 -0.9156379 -2.14359e-5 0.729867 -0.6835893 3.86276e-5 1 0 0 0.4021262 -0.9155843 0 0 0 -1 -0.9659323 -0.2587952 0 0 0 -1 -0.2588229 -0.9659247 0 0 0 -1 0 0 -1 0 -0.9942573 0.1070163 -0.5000069 -0.8660215 0 0 0 -1 -0.7071171 0.7070963 0 -0.8610711 -0.4970973 0.1070099 -1 0 0 0 0 -1 0.2588229 0.9659247 0 0 0 -1 -0.8610676 0.497101 0.1070192 -0.5000069 0.8660215 0 0 0 -1 0.9659319 0.2587964 0 0 0 -1 0.5000069 0.8660215 0 0 0.9942573 0.1070163 0 0 -1 0.7071198 -0.7070938 0 0 0 -1 0.8610684 0.4971015 0.1070108 1 0 0 0 0 -1 0.86107 -0.4970967 0.1070201 0.5000069 -0.8660215 0 0 0 -1 0.2587952 -0.9659323 0 0 0 -1 0.9659247 -0.2588229 0 0 0 -1 0.9942573 0 0.1070163 0.8660215 -0.5000069 0 0 0 -1 -0.7070963 -0.7071171 0 0.4970973 -0.8610711 0.1070099 0 -1 0 0 0 -1 -0.9659247 0.2588229 0 0 0 -1 -0.497101 -0.8610676 0.1070192 -0.8660215 -0.5000069 0 0 0 -1 -0.2587964 0.9659319 0 0 0 -1 -0.8660215 0.5000069 0 -0.9942573 0 0.1070163 0 0 -1 0.7070938 0.7071198 0 0 0 -1 -0.4971015 0.8610684 0.1070108 0 1 0 0 0 -1 0 0 -1 0 0 -1 0.4970967 0.86107 0.1070201 0.8660215 0.5000069 0 0 0 -1 -0.2587952 0.9659323 0 0 0 -1 -0.9659247 0.2588229 0 0 0 -1 -0.9942573 0 0.1070163 -0.8660215 0.5000069 0 0 0 -1 0.7070963 0.7071171 0 -0.4970973 0.8610711 0.1070099 0 1 0 0 0 -1 0.9659247 -0.2588229 0 0 0 -1 0 0 -1 0.497101 0.8610676 0.1070192 0.8660215 0.5000069 0 0 0 -1 0.2587964 -0.9659319 0 0.8660215 -0.5000069 0 0.9942573 0 0.1070163 0 0 -1 -0.7070938 -0.7071198 0 0 0 -1 0.4971015 -0.8610684 0.1070108 0 -1 0 0 0 -1 0 0 -1 0 0 -1 -0.4970967 -0.86107 0.1070201 -0.8660215 -0.5000069 0 0 0 -1 0.9659323 0.2587952 0 0 0 -1 0.2588229 0.9659247 0 0 0 -1 0 0 -1 0 0.9942573 0.1070163 0.5000069 0.8660215 0 0 0 -1 0.7071171 -0.7070963 0 0 0 -1 0.8610711 0.4970973 0.1070099 1 0 0 0 0 -1 -0.2588229 -0.9659247 0 0 0 -1 0.8610676 -0.497101 0.1070192 0.5000069 -0.8660215 0 0 0 -1 -0.9659319 -0.2587964 0 0 0 -1 0 0 -1 0 0 -1 -0.5000069 -0.8660215 0 0 -0.9942573 0.1070163 0 0 -1 -0.7071198 0.7070938 0 0 0 -1 -0.8610684 -0.4971015 0.1070108 -1 0 0 0 0 -1 -0.86107 0.4970967 0.1070201 -0.5000069 0.8660215 0 0 1 0 0 0 -1 0.7071464 0.7070673 0 0 1 0 -0.7071456 0.7070679 0 -0.7071456 0.7070679 0 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2723529 0.2723529 -0.9228477 -0.2720315 0.2717371 -0.9231239 0.9541981 0.2679019 0.1331708 0.8377619 0.5264009 -0.1451103 0.8466324 0.4812991 -0.2270787 0.8691235 0.494085 -0.02245813 0.9788444 -0.1478108 0.1414757 0.9816684 0.1106093 -0.1552187 0.8310489 -0.5368408 0.1454636 0.9315364 -0.3259594 -0.1612156 0.5368537 -0.8310407 0.1454622 0.69762 -0.69762 -0.163257 0.1478215 -0.9788425 0.1414791 0.3259595 -0.9315367 -0.1612133 -0.2678962 -0.954199 0.1331763 -0.1106094 -0.9816693 -0.1552122 0 0 -1 -0.271854 0.271854 -0.9231418 0 0 -1 -0.2722417 0.2725355 -0.9228265 -0.533632 -0.8315686 -0.1540464 0 0 -1 0.5900872 0.7644514 0.2596367 0 0 -1 0 0 -1 0.7644445 0.5900899 0.2596509 0 0 -1 0.6571652 0.7537465 -2.4089e-5 0.6120312 0.7903676 0.02714508 0.7798591 0.625955 -2.00023e-5 0.6231354 0.7810201 0.04135 0.6319395 0.7750178 0 0.595728 0.8021764 0.04026377 0 0 -1 0.2723598 -0.2723599 -0.9228436 0 0 -1 0.2720339 -0.2717355 -0.9231236 -0.954199 -0.2678962 0.1331763 0 0 -1 -0.8377619 -0.5264009 -0.1451103 -0.8368052 -0.5295744 -0.1389532 0 0 -1 -0.9788425 0.1478215 0.1414791 -0.9816693 -0.1106094 -0.1552122 0 0 -1 -0.8310407 0.5368537 0.1454622 0 0 -1 -0.9315367 0.3259595 -0.1612133 0 0 -1 -0.5368408 0.8310489 0.1454636 0 0 -1 -0.69762 0.69762 -0.163257 -0.1478108 0.9788444 0.1414757 0 0 -1 0 0 -1 -0.3259594 0.9315364 -0.1612156 0 0 -1 0.2679019 0.9541981 0.1331707 0.1106093 0.9816684 -0.1552187 0 0 -1 0.271854 -0.271854 -0.9231418 0 0 -1 0 0 -1 0 0 -1 0.272247 -0.2725449 -0.9228222 0.5335901 0.8316053 -0.1539943 0 -1 0 0.7070679 -0.7071456 0 0.7070679 -0.7071456 0 0 0 -1 1 0 0 0 0 -1 0 0 -1 1 0 0 0.7070665 0.707147 0 0.7070665 0.707147 0 0 1 0 0 1 0 0.323737 0.9461471 0 0.8350953 0.5501052 0 0.323737 0.9461471 0 0 0 -1 0.9088329 0.4171602 0 0.8350953 0.5501052 0 0.7070758 0.7071379 -1.35278e-5 0.9088129 0.4172039 3.22308e-5 0.417068 0.9088752 3.40131e-5 0.707073 0.7071406 -1.09404e-5 0.550063 0.8351233 0 0.4171141 0.9088541 0 0.9461432 0.3237485 0 0.550063 0.8351233 0 1 0 0 1 0 0 0.9461432 0.3237485 0 0.7071464 0.7070673 0 0 0 -1 -0.5000104 0.5000028 -0.7070974 0.7534564 0.6569122 0.02774411 0 0 -1 0.6995887 0.7088183 0.09029078 0 0 -1 0.4992865 -0.5006034 -0.707184 0.8031197 0.5957856 0.006195724 0.4999973 -0.5000049 -0.7071052 0 0 -1 0.8257938 0.5639721 0 0.7071068 -0.7071068 0 0.4999969 -0.4999731 -0.707128 0.5000107 -0.5000107 -0.7070918 0.653809 -0.653809 -0.3808775 0.7071068 -0.7071068 0 0.6538604 -0.6541333 -0.380232 -0.6539456 0.6536635 -0.3808925 -0.7071068 0.7071068 0 -0.6540087 0.6540087 -0.3801912 -0.4999948 0.4999971 -0.7071124 -0.5000043 0.4999973 -0.7071056 -0.4999933 0.4999933 -0.7071163 -0.7071068 0.7071068 0 0 0 -1 0.4999951 -0.4999875 -0.7071192 0 0 -1 0 0 -1 -0.4988896 0.5009371 -0.7072279 -0.4999973 0.5000049 -0.7071052 0 0 -1 -0.8257827 -0.5639885 0 -0.7071068 0.7071068 0 -0.4999947 0.4999947 -0.7071142 -0.4999973 0.5000017 -0.7071075 -0.653809 0.653809 -0.3808775 -0.7071068 0.7071068 0 -0.6538621 0.6541448 -0.3802089 0.6539409 -0.6536685 -0.3808919 0.7071068 -0.7071068 0 0.6540018 -0.6540018 -0.3802149 0.5000228 -0.4999975 -0.7070924 0.4999794 -0.499997 -0.7071235 0.5000072 -0.5000072 -0.7070967 0.7071068 -0.7071068 0 -0.846722 -0.5320355 -6.97928e-5 -0.8467165 -0.5320444 0 -0.5320355 -0.846722 0 -0.9937115 -0.1119709 1.77452e-4 -0.9438836 0.3302783 9.90443e-5 -0.9438912 0.3302564 2.53937e-4 -0.9937084 -0.1119983 -6.60097e-6 -0.7071067 0.7071067 2.12048e-4 -0.7071068 0.7071068 2.12247e-4 -0.3302783 0.9438836 2.53996e-4 -0.3302564 0.9438912 9.9041e-5 0.1119709 0.9937115 1.77463e-4 0.1119983 0.9937084 -6.60767e-6 0.5320355 0.846722 0 0.5320444 0.8467165 -6.9761e-5 0.8467165 0.5320444 0 0.846722 0.5320355 -6.97928e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.5320444 -0.8467165 -6.9761e-5 0 0 -1 0 0 -1 0.9937115 0.1119709 1.77452e-4 0.9438836 -0.3302783 9.90443e-5 0.9438912 -0.3302564 2.53937e-4 0.9937084 0.1119983 -6.60097e-6 0.7071067 -0.7071067 2.12048e-4 0.7071068 -0.7071068 2.12247e-4 0.3302783 -0.9438836 2.53996e-4 0.3302564 -0.9438912 9.9041e-5 -0.1119709 -0.9937115 1.77463e-4 -0.1119983 -0.9937084 -6.60767e-6 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.5320322 -0.8467242 0 -0.7612787 -0.6484248 0 -0.8076274 -0.5891899 -0.02435624 -0.8063617 -0.5901302 -0.03908008 -0.7857657 -0.6185243 0 -0.823094 -0.5667506 -0.03619742 -0.5564568 -0.8002579 -0.2234801 -0.4636983 -0.8841945 -0.05642628 -0.5979313 -0.6733661 -0.4348061 0.5320322 0.8467242 0 0.7477491 0.6639814 0 0.8175358 0.5684708 -0.0920664 0.5822545 0.7800678 -0.2290719 -0.7612267 -0.6484858 3.75782e-5 -0.6484692 -0.7612072 0.007173299 -0.6639814 -0.7477491 3.76279e-5 -0.5743176 -0.8186134 -0.005622923 -0.5708893 -0.8210138 -0.004674553 -0.5376287 -0.8431816 0 -0.5376287 -0.8431817 0 -0.5135259 -0.8580741 0 0.7477143 0.6639505 0.009651064 0.7612267 0.6484858 3.75767e-5 0.6114077 0.7913157 3.73919e-5 0.8210227 0.5708954 0 0.8210228 0.5708955 0 0.8365352 0.5477722 -0.01243847 0.8193479 0.5732804 -0.00432229 0.8580741 0.5135259 0 0.648141 0.7608219 -0.03260791 0.708856 0.6973445 -0.1059899 0.5756795 0.8176429 -0.007299482 0.5376589 0.8431624 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.4895324 0.8719851 0 0 0 1 0 0 1 -0.999928 0.01198011 5.98455e-4 0 0 1 0 0 1 -0.9999277 0.01202499 0 0.5103745 0.8599523 -1.54422e-4 -0.4895641 0.8719672 4.8546e-4 0 0 1 0.999928 -0.01198011 5.98455e-4 0 0 1 0.510367 0.8599567 -3.8655e-5 0 0 1 0.4895324 -0.8719851 0 0 0 1 0 0 1 0 0 1 0.9999277 -0.01202499 0 -0.5103745 -0.8599523 -1.49083e-4 0.4895644 -0.871967 4.90766e-4 0 0 1 -0.5103673 -0.8599566 -3.8655e-5 0.8599509 -0.5103769 0 -0.01202076 -0.9999278 0 0.8599509 -0.5103769 0 0.8719778 0.4895453 0 0.8719778 0.4895453 0 0.01202076 0.9999278 0 0.01202076 0.9999278 0 -0.8599616 0.5103588 0 -0.8599616 0.5103588 0 -0.8719679 -0.4895629 0 -0.8719679 -0.4895629 0 -0.01202076 -0.9999278 0 0.3700752 -0.659144 -0.6546552 0.7270187 -0.1046234 -0.6785998 0.7937548 -0.009545564 -0.6081629 -0.4118098 -0.6938893 -0.5907032 0.4994359 -0.6673247 -0.5524868 -0.09779006 -0.6795532 -0.7270794 -0.7937548 0.009545564 -0.6081629 -0.5496599 -0.4113699 -0.7270826 -0.7270187 0.1046234 -0.6785998 -0.3700751 0.6591442 -0.6546551 0.5991876 -0.8006086 0 0.9689598 0.2472183 0 0.8798047 -0.1266105 -0.4581631 -0.1266087 -0.8798167 -0.4581408 -0.8006113 -0.599184 -3.98628e-5 0.2471779 -0.9689701 -2.0442e-5 -0.879805 0.1266106 -0.4581627 -0.9689596 -0.2472191 0 -0.5991923 0.8006052 0 -0.4994421 0.6673249 -0.5524809 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.247181 0.9689693 -2.13045e-5 0.1266084 0.8798147 -0.4581444 0 0 -1 -0.2472115 0.9689616 0 -0.9689702 -0.2471774 0 -0.9689702 -0.2471774 0 0.9689702 0.2471774 0 -0.2472115 0.9689616 0 0.2472115 -0.9689616 0 0.9689702 0.2471774 0 0.2472115 -0.9689616 0 0.8006139 0.5991805 -4.03943e-5 0 0 -1 0 0 -1 0.4118105 0.6938913 -0.5907005 0.09779042 0.6795554 -0.7270773 0.5496617 0.4113675 -0.7270823 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8719851 -0.4895324 0 0 0 1 0 0 1 -0.01198011 -0.999928 5.98455e-4 0 0 1 0 0 1 -0.01202499 -0.9999277 0 -0.8599523 0.5103745 -1.54422e-4 -0.8719672 -0.4895641 4.8546e-4 0 0 1 0.01198011 0.999928 5.98455e-4 0 0 1 -0.8599567 0.510367 -3.8655e-5 0 0 1 0.8719851 0.4895324 0 0 0 1 0 0 1 0 0 1 0.01202499 0.9999277 0 0.8599523 -0.5103745 -1.49083e-4 0.871967 0.4895644 4.90766e-4 0 0 1 0.8599566 -0.5103673 -3.8655e-5 0.5103769 0.8599509 0 0.9999278 -0.01202076 0 0.5103769 0.8599509 0 -0.4895453 0.8719778 0 -0.4895453 0.8719778 0 -0.9999278 0.01202076 0 -0.9999278 0.01202076 0 -0.5103588 -0.8599616 0 -0.5103588 -0.8599616 0 0.4895629 -0.8719679 0 0.4895629 -0.8719679 0 0.9999278 -0.01202076 0 0.659144 0.3700752 -0.6546552 0.1046234 0.7270187 -0.6785998 0.009545564 0.7937548 -0.6081629 0.6938893 -0.4118098 -0.5907032 0.6673247 0.4994359 -0.5524868 0.6795532 -0.09779006 -0.7270794 -0.009545564 -0.7937548 -0.6081629 0.4113699 -0.5496599 -0.7270826 -0.1046234 -0.7270187 -0.6785998 -0.6591442 -0.3700751 -0.6546551 0.8006086 0.5991876 0 -0.2472183 0.9689598 0 0.1266105 0.8798047 -0.4581631 0.8798167 -0.1266087 -0.4581408 0.599184 -0.8006113 -3.98628e-5 0.9689701 0.2471779 -2.0442e-5 -0.1266106 -0.879805 -0.4581627 0.2472191 -0.9689596 0 -0.8006052 -0.5991923 0 -0.6673249 -0.4994421 -0.5524809 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9689693 -0.247181 -2.13045e-5 -0.8798147 0.1266084 -0.4581444 0 0 -1 -0.9689616 -0.2472115 0 0.2471774 -0.9689702 0 0.2471774 -0.9689702 0 -0.2471774 0.9689702 0 -0.9689616 -0.2472115 0 0.9689616 0.2472115 0 -0.2471774 0.9689702 0 0.9689616 0.2472115 0 -0.5991805 0.8006139 -4.03943e-5 0 0 -1 0 0 -1 -0.6938913 0.4118105 -0.5907005 -0.6795554 0.09779042 -0.7270773 -0.4113675 0.5496617 -0.7270823 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8719864 -0.4895301 0 0 0 1 0 0 1 -0.01199525 -0.9999279 4.02106e-4 0 0 1 0 0 1 -0.01202541 -0.9999277 0 -0.859948 0.5103815 -1.38362e-4 -0.871969 -0.4895609 4.72572e-4 0 0 1 0.0119794 0.9999282 4.021e-4 0 0 1 -0.8599481 0.5103816 -1.38324e-4 0 0 1 0.8719896 0.4895245 0 0 0 1 0 0 1 0 0 1 0.01200956 0.9999279 0 0.8599488 -0.5103804 -2.39768e-4 0.8719685 0.4895617 5.69967e-4 0 0 1 0.8599527 -0.5103738 -1.38322e-4 0.5103771 0.8599507 0 0.9999278 -0.01201695 0 0.5103771 0.8599507 0 -0.4895626 0.8719681 0 -0.4895626 0.8719681 0 -0.9999278 0.01201689 0 -0.9999278 0.01201689 0 -0.5103771 -0.8599507 0 -0.5103771 -0.8599507 0 0.4895646 -0.871967 0 0.4895646 -0.871967 0 0.9999278 -0.01201695 0 0.6591405 0.3700707 -0.6546614 0.1046191 0.7270087 -0.6786112 0.009533286 0.7937501 -0.6081693 0.6938921 -0.4118183 -0.5906941 0.6673213 0.4994279 -0.5524981 0.6795549 -0.09779304 -0.7270775 -0.009545862 -0.7937545 -0.6081635 0.4113801 -0.5496617 -0.7270752 -0.1046207 -0.72702 -0.6785988 -0.6591461 -0.370073 -0.6546545 0.8006117 0.5991834 0 -0.2471977 0.9689651 0 0.1266081 0.8798129 -0.4581478 0.8798086 -0.1266111 -0.4581557 0.5991923 -0.8006051 -1.71399e-5 0.9689711 0.247174 -2.77155e-5 -0.1266079 -0.8798111 -0.4581516 0.2472014 -0.9689642 0 -0.8006144 -0.5991799 0 -0.6673278 -0.4994282 -0.5524898 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9689714 -0.2471731 -2.77175e-5 -0.8798083 0.126611 -0.4581562 0 0 -1 -0.9689703 -0.2471774 0 0.2472115 -0.9689616 0 0.2472115 -0.9689616 0 -0.247216 0.9689604 0 -0.9689703 -0.2471774 0 0.9689705 0.2471763 0 -0.247216 0.9689604 0 0.9689705 0.2471763 0 -0.5991876 0.8006086 -1.71398e-5 0 0 -1 0 0 -1 -0.6938863 0.4118234 -0.5906974 -0.6795534 0.09779286 -0.7270789 -0.4113771 0.5496643 -0.7270749 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.4895301 -0.8719864 0 0 0 1 0 0 1 0.9999279 -0.01199525 4.02106e-4 0 0 1 0 0 1 0.9999277 -0.01202541 0 -0.5103815 -0.859948 -1.38362e-4 0.4895609 -0.871969 4.72572e-4 0 0 1 -0.9999282 0.0119794 4.021e-4 0 0 1 -0.5103816 -0.8599481 -1.38324e-4 0 0 1 -0.4895245 0.8719896 0 0 0 1 0 0 1 0 0 1 -0.9999279 0.01200956 0 0.5103804 0.8599488 -2.39768e-4 -0.4895617 0.8719685 5.69967e-4 0 0 1 0.5103738 0.8599527 -1.38322e-4 -0.8599507 0.5103771 0 0.01201695 0.9999278 0 -0.8599507 0.5103771 0 -0.8719681 -0.4895626 0 -0.8719681 -0.4895626 0 -0.01201689 -0.9999278 0 -0.01201689 -0.9999278 0 0.8599507 -0.5103771 0 0.8599507 -0.5103771 0 0.871967 0.4895646 0 0.871967 0.4895646 0 0.01201695 0.9999278 0 -0.3700707 0.6591405 -0.6546614 -0.7270087 0.1046191 -0.6786112 -0.7937501 0.009533286 -0.6081693 0.4118183 0.6938921 -0.5906941 -0.4994279 0.6673213 -0.5524981 0.09779304 0.6795549 -0.7270775 0.7937545 -0.009545862 -0.6081635 0.5496617 0.4113801 -0.7270752 0.72702 -0.1046207 -0.6785988 0.370073 -0.6591461 -0.6546545 -0.5991834 0.8006117 0 -0.9689651 -0.2471977 0 -0.8798129 0.1266081 -0.4581478 0.1266111 0.8798086 -0.4581557 0.8006051 0.5991923 -1.71399e-5 -0.247174 0.9689711 -2.77155e-5 0.8798111 -0.1266079 -0.4581516 0.9689642 0.2472014 0 0.5991799 -0.8006144 0 0.4994282 -0.6673278 -0.5524898 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2471731 -0.9689714 -2.77175e-5 -0.126611 -0.8798083 -0.4581562 0 0 -1 0.2471774 -0.9689703 0 0.9689616 0.2472115 0 0.9689616 0.2472115 0 -0.9689604 -0.247216 0 0.2471774 -0.9689703 0 -0.2471763 0.9689705 0 -0.9689604 -0.247216 0 -0.2471763 0.9689705 0 -0.8006086 -0.5991876 -1.71398e-5 0 0 -1 0 0 -1 -0.4118234 -0.6938863 -0.5906974 -0.09779286 -0.6795534 -0.7270789 -0.5496643 -0.4113771 -0.7270749 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8719864 0.4895301 0 0 0 1 0 0 1 0.01199525 0.9999279 4.02106e-4 0 0 1 0 0 1 0.01202541 0.9999277 0 0.859948 -0.5103815 -1.38362e-4 0.871969 0.4895609 4.72572e-4 0 0 1 -0.0119794 -0.9999282 4.021e-4 0 0 1 0.8599481 -0.5103816 -1.38324e-4 0 0 1 -0.8719896 -0.4895245 0 0 0 1 0 0 1 0 0 1 -0.01200956 -0.9999279 0 -0.8599488 0.5103804 -2.39768e-4 -0.8719685 -0.4895617 5.69967e-4 0 0 1 -0.8599527 0.5103738 -1.38322e-4 -0.5103771 -0.8599507 0 -0.9999278 0.01201695 0 -0.5103771 -0.8599507 0 0.4895626 -0.8719681 0 0.4895626 -0.8719681 0 0.9999278 -0.01201689 0 0.9999278 -0.01201689 0 0.5103771 0.8599507 0 0.5103771 0.8599507 0 -0.4895646 0.871967 0 -0.4895646 0.871967 0 -0.9999278 0.01201695 0 -0.6591405 -0.3700707 -0.6546614 -0.1046191 -0.7270087 -0.6786112 -0.009533286 -0.7937501 -0.6081693 -0.6938921 0.4118183 -0.5906941 -0.6673213 -0.4994279 -0.5524981 -0.6795549 0.09779304 -0.7270775 0.009545862 0.7937545 -0.6081635 -0.4113801 0.5496617 -0.7270752 0.1046207 0.72702 -0.6785988 0.6591461 0.370073 -0.6546545 -0.8006117 -0.5991834 0 0.2471977 -0.9689651 0 -0.1266081 -0.8798129 -0.4581478 -0.8798086 0.1266111 -0.4581557 -0.5991923 0.8006051 -1.71399e-5 -0.9689711 -0.247174 -2.77155e-5 0.1266079 0.8798111 -0.4581516 -0.2472014 0.9689642 0 0.8006144 0.5991799 0 0.6673278 0.4994282 -0.5524898 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9689714 0.2471731 -2.77175e-5 0.8798083 -0.126611 -0.4581562 0 0 -1 0.9689703 0.2471774 0 -0.2472115 0.9689616 0 -0.2472115 0.9689616 0 0.247216 -0.9689604 0 0.9689703 0.2471774 0 -0.9689705 -0.2471763 0 0.247216 -0.9689604 0 -0.9689705 -0.2471763 0 0.5991876 -0.8006086 -1.71398e-5 0 0 -1 0 0 -1 0.6938863 -0.4118234 -0.5906974 0.6795534 -0.09779286 -0.7270789 0.4113771 -0.5496643 -0.7270749 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.4895301 0.8719864 0 0 0 1 0 0 1 -0.9999279 0.01199525 4.02106e-4 0 0 1 0 0 1 -0.9999277 0.01202541 0 0.5103815 0.859948 -1.38362e-4 -0.4895609 0.871969 4.72572e-4 0 0 1 0.9999282 -0.0119794 4.021e-4 0 0 1 0.5103816 0.8599481 -1.38324e-4 0 0 1 0.4895245 -0.8719896 0 0 0 1 0 0 1 0 0 1 0.9999279 -0.01200956 0 -0.5103804 -0.8599488 -2.39768e-4 0.4895617 -0.8719685 5.69967e-4 0 0 1 -0.5103738 -0.8599527 -1.38322e-4 0.8599507 -0.5103771 0 -0.01201695 -0.9999278 0 0.8599507 -0.5103771 0 0.8719681 0.4895626 0 0.8719681 0.4895626 0 0.01201689 0.9999278 0 0.01201689 0.9999278 0 -0.8599507 0.5103771 0 -0.8599507 0.5103771 0 -0.871967 -0.4895646 0 -0.871967 -0.4895646 0 -0.01201695 -0.9999278 0 0.3700707 -0.6591405 -0.6546614 0.7270087 -0.1046191 -0.6786112 0.7937501 -0.009533286 -0.6081693 -0.4118183 -0.6938921 -0.5906941 0.4994279 -0.6673213 -0.5524981 -0.09779304 -0.6795549 -0.7270775 -0.7937545 0.009545862 -0.6081635 -0.5496617 -0.4113801 -0.7270752 -0.72702 0.1046207 -0.6785988 -0.370073 0.6591461 -0.6546545 0.5991834 -0.8006117 0 0.9689651 0.2471977 0 0.8798129 -0.1266081 -0.4581478 -0.1266111 -0.8798086 -0.4581557 -0.8006051 -0.5991923 -1.71399e-5 0.247174 -0.9689711 -2.77155e-5 -0.8798111 0.1266079 -0.4581516 -0.9689642 -0.2472014 0 -0.5991799 0.8006144 0 -0.4994282 0.6673278 -0.5524898 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2471731 0.9689714 -2.77175e-5 0.126611 0.8798083 -0.4581562 0 0 -1 -0.2471774 0.9689703 0 -0.9689616 -0.2472115 0 -0.9689616 -0.2472115 0 0.9689604 0.247216 0 -0.2471774 0.9689703 0 0.2471763 -0.9689705 0 0.9689604 0.247216 0 0.2471763 -0.9689705 0 0.8006086 0.5991876 -1.71398e-5 0 0 -1 0 0 -1 0.4118234 0.6938863 -0.5906974 0.09779286 0.6795534 -0.7270789 0.5496643 0.4113771 -0.7270749 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.4895324 -0.8719851 0 0 0 1 0 0 1 0.999928 -0.01198011 5.98455e-4 0 0 1 0 0 1 0.9999277 -0.01202499 0 -0.5103745 -0.8599523 -1.54422e-4 0.4895641 -0.8719672 4.8546e-4 0 0 1 -0.999928 0.01198011 5.98455e-4 0 0 1 -0.510367 -0.8599567 -3.8655e-5 0 0 1 -0.4895324 0.8719851 0 0 0 1 0 0 1 0 0 1 -0.9999277 0.01202499 0 0.5103745 0.8599523 -1.49083e-4 -0.4895644 0.871967 4.90766e-4 0 0 1 0.5103673 0.8599566 -3.8655e-5 -0.8599509 0.5103769 0 0.01202076 0.9999278 0 -0.8599509 0.5103769 0 -0.8719778 -0.4895453 0 -0.8719778 -0.4895453 0 -0.01202076 -0.9999278 0 -0.01202076 -0.9999278 0 0.8599616 -0.5103588 0 0.8599616 -0.5103588 0 0.8719679 0.4895629 0 0.8719679 0.4895629 0 0.01202076 0.9999278 0 -0.3700752 0.659144 -0.6546552 -0.7270187 0.1046234 -0.6785998 -0.7937548 0.009545564 -0.6081629 0.4118098 0.6938893 -0.5907032 -0.4994359 0.6673247 -0.5524868 0.09779006 0.6795532 -0.7270794 0.7937548 -0.009545564 -0.6081629 0.5496599 0.4113699 -0.7270826 0.7270187 -0.1046234 -0.6785998 0.3700751 -0.6591442 -0.6546551 -0.5991876 0.8006086 0 -0.9689598 -0.2472183 0 -0.8798047 0.1266105 -0.4581631 0.1266087 0.8798167 -0.4581408 0.8006113 0.599184 -3.98628e-5 -0.2471779 0.9689701 -2.0442e-5 0.879805 -0.1266106 -0.4581627 0.9689596 0.2472191 0 0.5991923 -0.8006052 0 0.4994421 -0.6673249 -0.5524809 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.247181 -0.9689693 -2.13045e-5 -0.1266084 -0.8798147 -0.4581444 0 0 -1 0.2472115 -0.9689616 0 0.9689702 0.2471774 0 0.9689702 0.2471774 0 -0.9689702 -0.2471774 0 0.2472115 -0.9689616 0 -0.2472115 0.9689616 0 -0.9689702 -0.2471774 0 -0.2472115 0.9689616 0 -0.8006139 -0.5991805 -4.03943e-5 0 0 -1 0 0 -1 -0.4118105 -0.6938913 -0.5907005 -0.09779042 -0.6795554 -0.7270773 -0.5496617 -0.4113675 -0.7270823 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 -0.5000222 0 0.8660125 0 1 0 0 1 0 0.5000205 4.16858e-4 0.8660135 0 1 0 0 1 0 0.4999935 0 0.8660292 -1 -2.01796e-4 0 -0.4999952 4.15357e-4 0.8660281 0 1 0 -0.5000222 4.17993e-4 -0.8660125 0 1 0 -1 -2.01796e-4 0 0 1 0 0.5000205 0 -0.8660135 0 1 0 0 1 0 0 1 0 -0.4999951 0 -0.8660283 1 -1.98691e-4 0 0.4999932 4.19524e-4 -0.8660292 0 1 0 1 -1.98691e-4 0 0 0 -1 0.8660196 0 -0.5000103 0 0 -1 -0.8660196 0 -0.5000103 -0.8660196 0 -0.5000103 -0.8660299 0 0.4999921 -0.8660299 0 0.4999921 0 0 1 0 0 1 0.8660299 0 0.4999921 0.8660299 0 0.4999921 0.8660196 0 -0.5000103 0.3779636 -0.654644 -0.6546638 -0.2810853 -0.678588 -0.6786085 -0.3969074 -0.6081494 -0.6874728 0.8068967 -0.5906925 0 0.3189826 -0.5524874 -0.77007 0.6342968 -0.7270749 -0.262735 0.396902 -0.6081602 0.6874665 0.6342928 -0.7270749 0.2627446 0.2811001 -0.6785851 0.6786053 -0.3779652 -0.6546437 0.6546632 0.3826928 0 -0.9238756 -0.7071175 0 -0.707096 -0.3401507 -0.4581673 -0.8212067 0.8212181 -0.4581393 -0.3401606 0.9238734 -2.62226e-5 0.3826983 0.7071263 -2.00592e-5 -0.7070873 0.3401727 -0.45814 0.8212127 0.7071172 0 0.7070965 -0.3826845 0 0.9238791 -0.3189783 -0.5524772 0.7700792 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071084 -2.03837e-5 0.7071051 -0.8212083 -0.4581525 0.3401663 0 -1 0 -0.7070962 0 0.7071174 0.7071067 0 0.7071067 0.7071067 0 0.7071067 -0.7071067 0 -0.7071067 -0.7070962 0 0.7071174 0.7071174 0 -0.7070962 -0.7071067 0 -0.7071067 0.7071174 0 -0.7070962 -0.9238811 -2.66325e-5 -0.3826796 0 -1 0 0 -1 0 -0.8069096 -0.5906749 0 -0.634305 -0.7270638 0.2627459 -0.6343089 -0.7270638 -0.2627363 0 1 0 0 1 0 0 1 0 0 1 0 -0.00552529 5.50609e-6 0.9999848 -0.8719754 -0.4895258 -0.004851043 -0.005541324 5.69796e-6 0.9999848 -0.005515336 7.05896e-6 0.9999848 -0.01198107 -0.9999281 3.37836e-4 -0.005514264 6.00757e-6 0.9999848 -0.005456447 -1.0568e-5 0.9999851 -0.0120092 -0.9999279 -6.68159e-5 -0.8599438 0.5103641 -0.005020856 -0.8719578 -0.4895624 -0.00429064 -0.005527615 -5.70106e-6 0.9999848 0.01197665 0.9999282 4.68738e-4 -0.005506396 1.48091e-5 0.9999849 -0.8599481 0.5103577 -0.004923045 -0.00551331 -1.62853e-6 0.9999848 0.8719778 0.4895231 0.004680514 -0.005502402 -1.75949e-6 0.9999849 -0.005643248 2.52318e-5 0.9999842 -0.005524575 -8.76846e-6 0.9999848 0.0120092 0.9999279 6.44619e-5 0.859946 -0.5103638 0.004653394 0.8719507 0.4895648 0.005318641 -0.005532622 -9.63399e-6 0.9999848 0.8599401 -0.5103753 0.004474043 0.5103631 0.8599544 0.002822399 0.9999126 -0.01201713 0.005496263 0.5103448 0.8599654 0.002805233 -0.4895501 0.871971 -0.002707183 -0.4895501 0.871971 -0.002707242 -0.9999125 0.01201695 -0.005529642 -0.9999125 0.01201719 -0.005529463 -0.5103633 -0.8599544 -0.002805352 -0.5103449 -0.8599652 -0.002822279 0.4895501 -0.8719711 0.002690851 0.48955 -0.8719711 0.002690911 0.9999127 -0.01201695 0.005496084 0.6627552 0.3700836 -0.6509944 0.1083323 0.7270383 -0.6779966 0.0128948 0.7937521 -0.6081046 0.6971465 -0.4118244 -0.5868454 0.6703707 0.4994122 -0.5488082 0.6835605 -0.09777051 -0.7233159 -0.006178736 -0.7937614 -0.6081979 0.4153634 -0.5496832 -0.7247908 -0.1008547 -0.7270356 -0.6791521 -0.6555256 -0.3700817 -0.6582748 0.8006138 0.5991644 0.004408717 -0.2472113 0.9689605 -0.00136131 0.1290974 0.8798242 -0.457431 0.882336 -0.1265789 -0.4532781 0.5991656 -0.8006184 0.003259479 0.9689556 0.2471776 0.005314886 -0.1240631 -0.8798133 -0.4588432 0.247215 -0.9689597 0.001368284 -0.8005943 -0.5991903 -0.004431188 -0.6642676 -0.4994397 -0.5561551 0.005627632 4.50302e-5 -0.9999842 0.00547111 1.37924e-4 -0.999985 0.005532443 -3.24956e-5 -0.9999848 0.005517661 -5.92629e-5 -0.9999848 0.005566477 2.3023e-5 -0.9999846 0.005544304 -1.33393e-4 -0.9999846 0.005384564 -3.86127e-5 -0.9999855 -0.9689503 -0.2471975 -0.005362868 -0.8772504 0.1266254 -0.4630308 0.005567967 2.73758e-5 -0.9999845 -0.968953 -0.2471872 -0.005347311 0.247179 -0.9689688 0.001364111 0.2471789 -0.9689689 0.001364052 -0.2471821 0.9689681 -0.001364052 -0.968953 -0.2471874 -0.005347251 0.9689467 0.2472118 0.005347192 -0.2471821 0.968968 -0.001364052 0.9689465 0.2472125 0.005347371 -0.5991889 0.8006008 -0.003316342 0.005538403 -1.00883e-5 -0.9999847 0.005508005 7.95695e-6 -0.9999848 -0.6906247 0.4118017 -0.5945224 -0.6755375 0.09781813 -0.7308083 -0.4073753 0.5496455 -0.729339 -0.005561232 2.55364e-5 0.9999846 -0.005524396 3.68488e-6 0.9999848 -0.005515456 3.57755e-6 0.9999848 -0.005481243 -1.67222e-5 0.999985 -0.00552839 6.88749e-6 0.9999848 -0.8719694 -0.4895364 -0.004850983 -0.005549252 7.13729e-6 0.9999846 -0.005512595 8.95262e-6 0.9999848 -0.01198124 -0.9999282 3.35455e-4 -0.005512416 8.75393e-6 0.9999848 -0.005420923 -1.74473e-5 0.9999853 -0.0120092 -0.9999279 -6.6804e-5 -0.8599378 0.5103744 -0.00501883 -0.8719518 -0.4895731 -0.004288375 -0.005529999 -7.89528e-6 0.9999847 0.01197683 0.9999282 4.68739e-4 -0.005501627 1.95468e-5 0.9999849 -0.8599419 0.5103682 -0.004923045 -0.005515933 -3.21015e-6 0.9999848 0.8719697 0.4895358 0.004850983 -0.005493879 -3.47517e-6 0.999985 -0.005643725 2.52372e-5 0.9999841 -0.005530834 -7.10144e-6 0.9999846 0.0120092 0.9999279 6.68107e-5 0.8599396 -0.5103762 0.004480361 0.8719574 0.4895548 0.005143105 -0.005537152 -1.47545e-5 0.9999846 0.8599451 -0.5103656 0.004645407 0.510345 0.8599653 0.002805233 0.9999125 -0.01201719 0.005529642 0.5103631 0.8599544 0.002822339 -0.4895499 0.8719711 -0.002690851 -0.4895501 0.8719711 -0.002690911 -0.9999126 0.01201695 -0.005496263 -0.9999126 0.01201713 -0.005496084 -0.5103448 -0.8599653 -0.002822279 -0.5103631 -0.8599545 -0.002805292 0.4895502 -0.871971 0.002707183 0.48955 -0.871971 0.002707242 0.9999125 -0.01201695 0.005529463 0.6627534 0.3700743 -0.6510015 0.1083316 0.7270389 -0.6779962 0.01289623 0.7937513 -0.6081057 0.6971465 -0.4118132 -0.5868532 0.6703698 0.4994397 -0.5487844 0.6835634 -0.09779375 -0.7233101 -0.006180584 -0.7937705 -0.608186 0.4154034 -0.5496628 -0.7247834 -0.1008805 -0.7270283 -0.679156 -0.6555189 -0.3700907 -0.6582763 0.8005948 0.5991899 0.004431366 -0.2472113 0.9689606 -0.001368343 0.1290991 0.8798244 -0.4574302 0.8823254 -0.1266099 -0.45329 0.599184 -0.8006047 0.003276467 0.9689555 0.2471775 0.005342185 -0.1240795 -0.8798016 -0.4588609 0.2472101 -0.968961 0.001361131 -0.8005943 -0.5991905 -0.004408121 -0.6642603 -0.4994354 -0.5561678 0.005591154 3.57257e-5 -0.9999843 0.005486071 9.80961e-5 -0.999985 0.005530893 -2.65017e-5 -0.9999848 0.005517244 -5.8136e-5 -0.9999848 0.005567967 2.73801e-5 -0.9999846 0.005530655 -9.54361e-5 -0.9999847 0.005419909 -2.97109e-5 -0.9999853 -0.9689552 -0.2471779 -0.005390107 -0.877279 0.1265767 -0.4629903 0.005558609 2.01985e-5 -0.9999845 -0.9689468 -0.2472114 -0.005347311 0.247185 -0.9689674 0.001364111 0.247185 -0.9689673 0.001364111 -0.2471759 0.9689696 -0.001364052 -0.9689469 -0.2472115 -0.005347311 0.9689528 0.2471882 0.005347251 -0.247176 0.9689695 -0.001364052 0.9689526 0.2471887 0.005347371 -0.59917 0.8006149 -0.003333032 0.00553888 -1.07198e-5 -0.9999848 0.005507171 8.10449e-6 -0.9999848 -0.6906315 0.4118172 -0.5945038 -0.675539 0.09776306 -0.7308143 -0.4073362 0.5496761 -0.7293375 -0.005552291 2.5429e-5 0.9999845 -0.005516767 4.35342e-6 0.9999848 -0.005516767 4.35328e-6 0.9999848 -0.005492389 -1.01361e-5 0.9999849 0.005515515 -2.9924e-7 -0.9999848 -0.01197904 -0.9999283 -6.66429e-5 0.005544781 -5.24671e-5 -0.9999846 0.00552088 -8.44916e-6 -0.9999848 -0.8719667 -0.4895369 -0.005240023 0.005515277 -6.85382e-6 -0.9999848 0.005466461 4.26826e-5 -0.9999851 -0.8719548 -0.4895624 -0.004850745 0.8599379 -0.5103748 0.004925668 -0.01200699 -0.9999278 -4.68956e-4 0.005526661 1.29416e-5 -0.9999847 0.8719729 0.4895343 0.00438863 0.005527615 1.63937e-5 -0.9999847 0.8599379 -0.5103753 0.004920065 0.005530238 -7.87139e-6 -0.9999847 0.01197886 0.9999282 6.66423e-5 0.005538821 -2.3163e-5 -0.9999846 0.005419015 1.22274e-4 -0.9999853 0.005526959 1.28446e-5 -0.9999848 0.8719536 0.4895647 0.004850924 -0.859947 0.5103638 -0.00447297 0.0120114 0.9999278 -3.37704e-4 0.00552833 1.87375e-5 -0.9999848 -0.8599511 0.5103577 -0.004378497 0.5103631 0.8599545 0.002805233 -0.4895325 0.871981 -0.002690851 0.5103632 0.8599544 0.002805352 0.9999125 -0.01201719 0.005529642 0.9999132 -0.01197534 0.005496084 0.4895501 -0.871971 0.002690851 0.4895321 -0.871981 0.002707183 -0.5103631 -0.8599544 -0.002805352 -0.5103632 -0.8599544 -0.002805233 -0.999913 0.01197588 -0.005529463 -0.9999127 0.01201713 -0.005496382 -0.4895501 0.871971 -0.002707183 0.005457758 0.7558753 0.654693 0.5842973 0.4401079 0.681837 0.6888133 0.388619 0.6119733 -0.6971556 0.4118101 0.5868446 0.1156489 0.825025 0.5531357 -0.4153894 0.549664 0.7247905 -0.695528 -0.3886166 0.6043326 -0.6835701 0.09777659 0.7233061 -0.5917845 -0.4401087 0.6753485 -0.01268869 -0.755876 0.6545919 0.1424007 0.9898087 7.84046e-4 0.9689556 0.2471774 0.005334973 0.7090964 0.5326009 0.4620806 -0.5351256 0.711647 0.4551916 -0.9897936 0.1424052 -0.005422234 -0.2472113 0.9689605 -0.001354217 -0.7141546 -0.5326048 0.4542196 -0.9689553 -0.2471778 -0.005363106 -0.1424341 -0.989804 -7.88368e-4 -0.1217675 -0.8250337 0.5518079 -0.005491077 -1.32254e-4 0.9999849 -0.00567466 -2.3296e-5 0.999984 -0.005329489 3.03513e-5 0.9999858 -0.005554437 -4.61429e-6 0.9999846 -0.005519986 5.35372e-5 0.9999848 -0.005410254 1.77968e-5 0.9999855 -0.005524218 8.54131e-5 0.9999848 0.2472099 -0.968961 0.001395761 0.5300647 -0.7116427 0.4610813 -0.005477011 -2.18247e-4 0.999985 0.247185 -0.9689673 0.001364111 -0.968953 -0.2471875 -0.005347311 -0.9689528 -0.2471879 -0.005347251 0.9689528 0.2471883 0.005347311 0.2471851 -0.9689673 0.001364111 -0.247182 0.9689682 -0.001364111 0.9689527 0.2471886 0.005347371 -0.2471821 0.9689681 -0.001364111 0.9897888 -0.1424367 0.005482375 -0.005504965 -6.78347e-6 0.9999849 -0.005504965 -6.78324e-6 0.9999849 0.6906231 -0.41182 0.5945116 0.4073545 -0.5496737 0.7293292 0.6755338 -0.09778463 0.7308161 0.005540072 9.56306e-6 -0.9999846 0.005493462 3.72256e-5 -0.9999849 0.005516052 -3.05512e-6 -0.9999848 0.005551159 -2.38939e-5 -0.9999846 0.005527496 -4.07699e-6 -0.9999848 -0.01197886 -0.9999282 -6.66287e-5 0.005536854 -2.08044e-5 -0.9999847 0.005525708 9.12326e-6 -0.9999848 -0.8719726 -0.4895249 -0.005418777 0.00552237 1.00858e-5 -0.9999848 0.005456268 7.71008e-5 -0.9999851 -0.8719549 -0.4895622 -0.004849791 0.8599426 -0.5103653 0.005095183 -0.01200693 -0.9999278 -4.71322e-4 0.005520164 -1.0975e-5 -0.9999847 0.871972 0.4895359 0.004387974 0.005527615 1.61649e-5 -0.9999848 0.859937 -0.5103766 0.004919707 0.005515515 -2.11288e-7 -0.9999848 0.01197904 0.9999282 6.42315e-5 0.005544722 -5.2276e-5 -0.9999846 0.005467057 4.20658e-5 -0.9999851 0.005519032 -1.0653e-5 -0.9999848 0.87196 0.4895548 0.004675388 -0.8599472 0.5103633 -0.004474341 0.0120114 0.9999278 -3.37681e-4 0.005527675 1.61648e-5 -0.9999847 -0.8599439 0.5103685 -0.004554331 0.5103632 0.8599544 0.002822399 -0.4895499 0.8719711 -0.002707242 0.5103631 0.8599544 0.002822339 0.9999125 -0.01201719 0.005529642 0.9999125 -0.01201719 0.005529642 0.4895502 -0.871971 0.002707183 0.4895501 -0.8719711 0.002707242 -0.5103629 -0.8599544 -0.002822279 -0.510363 -0.8599545 -0.002822279 -0.9999125 0.01201719 -0.005529463 -0.9999125 0.01201719 -0.005529463 -0.4895499 0.8719711 -0.002707183 0.00545746 0.7558753 0.6546928 0.5843117 0.440095 0.6818329 0.6888136 0.3886106 0.6119785 -0.6971464 0.4118168 0.5868507 0.1156476 0.8250246 0.5531367 -0.4154099 0.5496574 0.7247837 -0.6955286 -0.3886151 0.6043329 -0.6835651 0.09780234 0.7233073 -0.5917823 -0.4401081 0.6753507 -0.01268714 -0.7558746 0.6545936 0.1423951 0.9898096 7.88121e-4 0.9689504 0.2471971 0.005362868 0.7091224 0.5325888 0.4620547 -0.5351407 0.7116283 0.4552029 -0.9897881 0.1424428 -0.005449652 -0.2472113 0.9689605 -0.001361131 -0.714154 -0.5326052 0.4542199 -0.9689505 -0.2471974 -0.005335748 -0.1424341 -0.989804 -7.84353e-4 -0.1217682 -0.8250339 0.5518076 -0.005501449 -8.89751e-5 0.9999849 -0.005599677 -3.06722e-5 0.9999844 -0.0055601 -2.45159e-5 0.9999846 -0.005552172 -7.50105e-7 0.9999845 -0.005522847 4.86819e-5 0.9999848 -0.005365371 2.8285e-5 0.9999856 -0.005535364 1.29167e-4 0.9999847 0.2472099 -0.9689609 0.001395761 0.5300552 -0.711664 0.4610595 -0.005521535 4.04017e-5 0.9999848 0.2471851 -0.9689673 0.001364052 -0.9689468 -0.247211 -0.005347371 -0.9689466 -0.2472119 -0.005347192 0.9689467 0.2472118 0.005347192 0.2471851 -0.9689673 0.001364111 -0.2471821 0.968968 -0.0013628 0.9689528 0.2471882 0.005342364 -0.2471759 0.9689697 -0.001364052 0.9897941 -0.1423988 0.005482375 -0.005540251 1.0853e-5 0.9999848 -0.00550884 -7.76792e-6 0.9999849 0.6906291 -0.4118266 0.5945001 0.4073426 -0.549684 0.7293283 0.6755371 -0.09776318 0.7308161 0.005537867 1.60418e-5 -0.9999847 0.005530118 2.06514e-5 -0.9999846 0.00553447 1.2857e-5 -0.9999847 0.005528926 1.61492e-5 -0.9999846 0 1 0 -0.5000331 0 0.8660063 0 1 0 0 1 0 0.5000335 4.2378e-4 0.866006 0 1 0 0 1 0 0.500006 0 0.8660219 -1 -1.98691e-4 0 -0.5000057 4.22554e-4 0.8660221 0 1 0 -0.500033 5.94296e-4 -0.8660061 0 1 0 -0.9999999 -1.98691e-4 0 0 1 0 0.5000336 0 -0.8660061 0 1 0 0 1 0 0 1 0 -0.4999945 0 -0.8660286 1 -1.95587e-4 0 0.4999947 5.95748e-4 -0.8660282 0 1 0 0.9999999 -1.95587e-4 0 0 0 -1 0.8660168 0 -0.5000149 0 0 -1 -0.8660348 0 -0.4999839 -0.8660348 0 -0.4999839 -0.8660449 0 0.4999662 -0.8660449 0 0.4999662 0 0 1 0 0 1 0.866027 0 0.4999972 0.866027 0 0.4999972 0.8660168 0 -0.5000149 0.3779649 -0.6546438 -0.6546633 -0.2810896 -0.6785871 -0.6786074 -0.396906 -0.6081521 -0.6874712 0.8068972 -0.5906918 0 0.3189864 -0.5524919 -0.7700652 0.6342991 -0.7270739 -0.262732 0.3969112 -0.608162 0.6874594 0.6342965 -0.7270727 0.2627418 0.2810923 -0.6785968 0.6785968 -0.3779695 -0.6546523 0.6546523 0.3826988 0 -0.9238732 -0.7071192 0 -0.7070944 -0.340156 -0.4581649 -0.8212057 0.8212198 -0.4581396 -0.3401561 0.9238756 -2.62226e-5 0.3826928 0.7071297 -2.00592e-5 -0.7070839 0.3401676 -0.4581434 0.8212129 0.7071174 0 0.7070961 -0.3826791 0 0.9238812 -0.318975 -0.5524725 0.770084 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.707107 -2.03836e-5 0.7071067 -0.8212078 -0.4581543 0.3401653 0 -1 0 -0.7070918 0 0.7071217 0.7071046 0 0.707109 0.7071046 0 0.707109 -0.7071068 0 -0.7071068 -0.7070918 0 0.7071217 0.7071195 0 -0.707094 -0.7071068 0 -0.7071068 0.7071195 0 -0.707094 -0.9238812 -2.66325e-5 -0.3826793 0 -1 0 0 -1 0 -0.8069084 -0.5906766 0 -0.634305 -0.7270641 0.2627453 -0.6343076 -0.7270653 -0.2627355 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000218 0 0.8660129 0 1 0 0 1 0 0.5000216 4.22234e-4 0.8660129 0 1 0 0 1 0 0.4999942 0 0.8660287 -1 -1.98691e-4 0 -0.4999943 4.22178e-4 0.8660286 0 1 0 -0.500035 4.22227e-4 -0.8660052 0 1 0 -1 -1.98691e-4 0 0 1 0 0.5000349 0 -0.8660053 0 1 0 0 1 0 0 1 0 -0.5000076 0 -0.8660211 1 -1.98691e-4 0 0.5000075 4.22553e-4 -0.866021 0 1 0 1 -1.98691e-4 0 0 0 -1 0.8660268 0 -0.4999977 0 0 -1 -0.8660298 0 -0.4999924 -0.8660298 0 -0.4999924 -0.8660196 0 0.5000103 -0.8660196 0 0.5000103 0 0 1 0 0 1 0.8660165 0 0.5000156 0.8660165 0 0.5000156 0.8660268 0 -0.4999977 0.3779702 -0.6546536 -0.6546505 -0.2810812 -0.6786007 -0.6785975 -0.3969149 -0.6081557 -0.6874629 0.806897 -0.5906922 0 0.3189833 -0.5524868 -0.7700703 0.6342961 -0.7270731 -0.2627418 0.3969029 -0.6081594 0.6874666 0.6342989 -0.7270742 0.2627317 0.2811006 -0.6785846 0.6786055 -0.3779646 -0.6546437 0.6546638 0.3826934 0 -0.9238754 -0.7071052 0 -0.7071084 -0.3401551 -0.4581471 -0.8212162 0.8212166 -0.4581357 -0.3401691 0.9238812 -2.66325e-5 0.3826791 0.7071174 -2.03658e-5 -0.7070961 0.3401692 -0.4581598 0.8212031 0.7071298 0 0.7070838 -0.382685 0 0.9238789 -0.3189784 -0.5524782 0.7700783 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071175 -2.00703e-5 0.707096 -0.82121 -0.4581559 0.3401578 0 -1 0 -0.7071068 0 0.7071068 0.7071217 0 0.7070918 0.7071217 0 0.7070918 -0.7070918 0 -0.7071217 -0.7071068 0 0.7071068 0.7071068 0 -0.7071068 -0.7070918 0 -0.7071217 0.7071068 0 -0.7071068 -0.9238732 -2.62226e-5 -0.3826988 0 -1 0 0 -1 0 -0.8069103 -0.5906739 0 -0.6343063 -0.7270651 0.2627394 -0.6343034 -0.7270639 -0.2627494 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000205 0 0.8660135 0 1 0 0 1 0 0.5000222 4.15305e-4 0.8660125 0 1 0 0 1 0 0.4999952 0 0.8660282 -1 -1.98691e-4 0 -0.4999934 4.16871e-4 0.8660292 0 1 0 -0.5000205 4.19546e-4 -0.8660135 0 1 0 -1 -1.98691e-4 0 0 1 0 0.5000222 0 -0.8660125 0 1 0 0 1 0 0 1 0 -0.4999933 0 -0.8660293 1 -2.01796e-4 0 0.499995 4.1801e-4 -0.8660282 0 1 0 1 -2.01796e-4 0 0 0 -1 0.8660196 0 -0.5000103 0 0 -1 -0.8660196 0 -0.5000103 -0.8660196 0 -0.5000103 -0.8660299 0 0.4999921 -0.8660299 0 0.4999921 0 0 1 0 0 1 0.8660299 0 0.4999921 0.8660299 0 0.4999921 0.8660196 0 -0.5000103 0.3779651 -0.6546435 -0.6546634 -0.281096 -0.6785857 -0.6786063 -0.3969026 -0.6081581 -0.6874679 0.8069096 -0.5906749 0 0.3189753 -0.5524719 -0.7700842 0.6343089 -0.7270638 -0.2627363 0.3969067 -0.6081515 0.6874713 0.634305 -0.7270638 0.2627459 0.2810894 -0.6785873 0.6786075 -0.3779636 -0.6546441 0.6546636 0.3826793 0 -0.9238812 -0.7071263 0 -0.7070873 -0.340164 -0.4581607 -0.8212047 0.8212103 -0.4581592 -0.3401525 0.9238753 -2.66323e-5 0.3826936 0.7071175 -2.03652e-5 -0.707096 0.3401593 -0.4581465 0.8212146 0.7071084 0 0.7071051 -0.3826981 0 0.9238734 -0.3189857 -0.5524926 0.770065 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071172 -2.00703e-5 0.7070965 -0.8212161 -0.4581326 0.3401743 0 -1 0 -0.7071067 0 0.7071067 0.7070962 0 0.7071174 0.7070962 0 0.7071174 -0.7071174 0 -0.7070962 -0.7071067 0 0.7071067 0.7071067 0 -0.7071067 -0.7071174 0 -0.7070962 0.7071067 0 -0.7071067 -0.9238792 -2.62227e-5 -0.3826843 0 -1 0 0 -1 0 -0.8068967 -0.5906925 0 -0.6342928 -0.7270749 0.2627446 -0.6342968 -0.727075 -0.262735 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0.8719851 0.4895324 0 0 0 1 0 0 1 0.01198011 0.999928 5.98455e-4 0 0 1 0 0 1 0.01202499 0.9999277 0 0.8599523 -0.5103745 -1.54422e-4 0.8719672 0.4895641 4.8546e-4 0 0 1 -0.01198011 -0.999928 5.98455e-4 0 0 1 0.8599567 -0.510367 -3.8655e-5 0 0 1 -0.8719851 -0.4895324 0 0 0 1 0 0 1 0 0 1 -0.01202499 -0.9999277 0 -0.8599523 0.5103745 -1.49083e-4 -0.871967 -0.4895644 4.90766e-4 0 0 1 -0.8599566 0.5103673 -3.8655e-5 -0.5103769 -0.8599509 0 -0.9999278 0.01202076 0 -0.5103769 -0.8599509 0 0.4895453 -0.8719778 0 0.4895453 -0.8719778 0 0.9999278 -0.01202076 0 0.9999278 -0.01202076 0 0.5103588 0.8599616 0 0.5103588 0.8599616 0 -0.4895629 0.8719679 0 -0.4895629 0.8719679 0 -0.9999278 0.01202076 0 -0.659144 -0.3700752 -0.6546552 -0.1046234 -0.7270187 -0.6785998 -0.009545564 -0.7937548 -0.6081629 -0.6938893 0.4118098 -0.5907032 -0.6673247 -0.4994359 -0.5524868 -0.6795532 0.09779006 -0.7270794 0.009545564 0.7937548 -0.6081629 -0.4113699 0.5496599 -0.7270826 0.1046234 0.7270187 -0.6785998 0.6591442 0.3700751 -0.6546551 -0.8006086 -0.5991876 0 0.2472183 -0.9689598 0 -0.1266105 -0.8798047 -0.4581631 -0.8798167 0.1266087 -0.4581408 -0.599184 0.8006113 -3.98628e-5 -0.9689701 -0.2471779 -2.0442e-5 0.1266106 0.879805 -0.4581627 -0.2472191 0.9689596 0 0.8006052 0.5991923 0 0.6673249 0.4994421 -0.5524809 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9689693 0.247181 -2.13045e-5 0.8798147 -0.1266084 -0.4581444 0 0 -1 0.9689616 0.2472115 0 -0.2471774 0.9689702 0 -0.2471774 0.9689702 0 0.2471774 -0.9689702 0 0.9689616 0.2472115 0 -0.9689616 -0.2472115 0 0.2471774 -0.9689702 0 -0.9689616 -0.2472115 0 0.5991805 -0.8006139 -4.03943e-5 0 0 -1 0 0 -1 0.6938913 -0.4118105 -0.5907005 0.6795554 -0.09779042 -0.7270773 0.4113675 -0.5496617 -0.7270823 0 0 1 0 0 1 0 0 1 0 0 1</float_array>
+ <technique_common>
+ <accessor source="#shoulder_fe-mesh-normals-array" count="13480" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shoulder_fe-mesh-vertices">
+ <input semantic="POSITION" source="#shoulder_fe-mesh-positions"/>
+ </vertices>
+ <polylist material="aluminum-material" count="13480">
+ <input semantic="VERTEX" source="#shoulder_fe-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#shoulder_fe-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 0 2 2 2 4 2 5 3 4 3 2 3 3 4 5 4 2 4 0 5 6 5 1 5 7 6 1 6 6 6 7 7 3 7 1 7 8 8 9 8 6 8 10 9 6 9 9 9 11 10 8 10 6 10 0 11 11 11 6 11 7 12 6 12 10 12 12 13 13 13 9 13 14 14 9 14 13 14 12 15 9 15 8 15 10 16 9 16 14 16 15 17 4 17 13 17 16 18 13 18 4 18 15 19 13 19 12 19 16 20 14 20 13 20 17 21 4 21 15 21 17 22 0 22 4 22 5 23 16 23 4 23 18 24 8 24 11 24 19 25 12 25 8 25 18 26 19 26 8 26 0 27 20 27 11 27 21 28 11 28 20 28 21 29 18 29 11 29 15 30 22 30 20 30 23 31 20 31 22 31 24 32 15 32 20 32 0 33 24 33 20 33 21 34 20 34 23 34 15 35 25 35 22 35 26 36 22 36 25 36 23 37 22 37 26 37 15 38 12 38 25 38 27 39 25 39 12 39 27 40 26 40 25 40 19 41 27 41 12 41 28 42 29 42 30 42 31 43 30 43 29 43 32 44 30 44 33 44 34 45 33 45 30 45 35 46 28 46 30 46 32 47 35 47 30 47 31 48 34 48 30 48 28 49 36 49 29 49 37 50 29 50 36 50 37 51 31 51 29 51 38 52 39 52 36 52 40 53 36 53 39 53 41 54 38 54 36 54 42 55 41 55 36 55 28 56 42 56 36 56 37 57 36 57 40 57 43 58 44 58 39 58 45 59 39 59 44 59 43 60 39 60 38 60 40 61 39 61 45 61 46 62 33 62 44 62 47 63 44 63 33 63 46 64 44 64 43 64 47 65 45 65 44 65 48 66 32 66 33 66 46 67 48 67 33 67 34 68 47 68 33 68 49 69 38 69 41 69 50 70 43 70 38 70 49 71 50 71 38 71 42 72 51 72 41 72 52 73 41 73 51 73 52 74 49 74 41 74 53 75 54 75 51 75 55 76 51 76 54 76 42 77 56 77 51 77 53 78 51 78 56 78 52 79 51 79 55 79 53 80 57 80 54 80 58 81 54 81 57 81 55 82 54 82 58 82 46 83 43 83 57 83 59 84 57 84 43 84 46 85 57 85 53 85 59 86 58 86 57 86 50 87 59 87 43 87 60 88 61 88 62 88 63 89 62 89 61 89 60 90 62 90 64 90 65 91 64 91 62 91 66 92 62 92 63 92 65 93 62 93 66 93 60 94 67 94 61 94 63 95 61 95 67 95 60 96 68 96 67 96 69 97 67 97 68 97 63 98 67 98 69 98 70 99 71 99 68 99 72 100 68 100 71 100 60 101 70 101 68 101 69 102 68 102 72 102 73 103 74 103 71 103 75 104 71 104 74 104 70 105 73 105 71 105 72 106 71 106 75 106 76 107 77 107 74 107 78 108 74 108 77 108 73 109 76 109 74 109 75 110 74 110 78 110 76 111 79 111 77 111 80 112 77 112 79 112 81 113 77 113 80 113 78 114 77 114 81 114 76 115 82 115 79 115 80 116 79 116 82 116 76 117 83 117 82 117 84 118 82 118 83 118 80 119 82 119 84 119 76 120 85 120 83 120 86 121 83 121 85 121 84 122 83 122 86 122 87 123 64 123 85 123 88 124 85 124 64 124 87 125 85 125 76 125 86 126 85 126 88 126 87 127 60 127 64 127 65 128 88 128 64 128 17 129 89 129 90 129 91 130 90 130 89 130 17 131 90 131 92 131 93 132 92 132 90 132 93 133 90 133 91 133 15 134 94 134 89 134 95 135 89 135 94 135 17 136 15 136 89 136 91 137 89 137 95 137 15 138 96 138 94 138 97 139 94 139 96 139 95 140 94 140 97 140 53 141 98 141 96 141 99 142 96 142 98 142 15 143 53 143 96 143 100 144 96 144 99 144 97 145 96 145 100 145 53 146 101 146 98 146 99 147 98 147 101 147 53 148 56 148 101 148 102 149 101 149 56 149 99 150 101 150 102 150 103 151 56 151 42 151 102 152 56 152 103 152 104 153 42 153 28 153 103 154 42 154 104 154 105 155 28 155 35 155 104 156 28 156 105 156 17 157 106 157 35 157 107 158 35 158 106 158 32 159 17 159 35 159 108 160 35 160 107 160 105 161 35 161 108 161 17 162 92 162 106 162 107 163 106 163 92 163 93 164 107 164 92 164 109 165 53 165 15 165 110 166 46 166 53 166 110 167 53 167 109 167 111 168 15 168 24 168 109 169 15 169 111 169 112 170 113 170 24 170 114 171 24 171 113 171 0 172 112 172 24 172 111 173 24 173 114 173 115 174 113 174 112 174 114 175 113 175 115 175 116 176 112 176 0 176 115 177 112 177 116 177 117 178 0 178 17 178 116 179 0 179 117 179 118 180 17 180 32 180 117 181 17 181 118 181 119 182 32 182 48 182 118 183 32 183 119 183 120 184 121 184 48 184 122 185 48 185 121 185 123 186 120 186 48 186 124 187 123 187 48 187 46 188 124 188 48 188 119 189 48 189 122 189 125 190 121 190 120 190 122 191 121 191 125 191 126 192 127 192 120 192 128 193 120 193 127 193 123 194 126 194 120 194 125 195 120 195 128 195 87 196 76 196 127 196 129 197 127 197 76 197 126 198 87 198 127 198 130 199 127 199 129 199 128 200 127 200 130 200 131 201 76 201 73 201 132 202 129 202 76 202 133 203 76 203 131 203 132 204 76 204 133 204 70 205 134 205 73 205 131 206 73 206 134 206 135 207 136 207 134 207 137 208 134 208 136 208 70 209 135 209 134 209 137 210 131 210 134 210 138 211 136 211 135 211 138 212 139 212 136 212 140 213 136 213 139 213 137 214 136 214 140 214 141 215 135 215 70 215 142 216 143 216 135 216 144 217 135 217 143 217 145 218 142 218 135 218 146 219 145 219 135 219 141 220 146 220 135 220 147 221 148 221 135 221 149 222 135 222 148 222 144 223 147 223 135 223 150 224 135 224 149 224 150 225 151 225 135 225 152 226 135 226 151 226 153 227 135 227 152 227 153 228 138 228 135 228 154 229 70 229 60 229 154 230 141 230 70 230 155 231 60 231 87 231 156 232 157 232 60 232 154 233 60 233 157 233 158 234 156 234 60 234 159 235 158 235 60 235 155 236 159 236 60 236 155 237 87 237 126 237 160 238 126 238 123 238 161 239 126 239 160 239 162 240 126 240 161 240 162 241 155 241 126 241 163 242 123 242 124 242 160 243 123 243 163 243 164 244 124 244 46 244 163 245 124 245 164 245 110 246 164 246 46 246 118 247 165 247 166 247 167 248 166 248 165 248 118 249 166 249 168 249 169 250 168 250 166 250 169 251 166 251 167 251 118 252 170 252 165 252 171 253 165 253 170 253 171 254 167 254 165 254 119 255 172 255 170 255 173 256 170 256 172 256 118 257 119 257 170 257 171 258 170 258 173 258 174 259 175 259 172 259 176 260 172 260 175 260 177 261 174 261 172 261 119 262 177 262 172 262 173 263 172 263 176 263 178 264 179 264 175 264 180 265 175 265 179 265 174 266 178 266 175 266 176 267 175 267 180 267 181 268 182 268 179 268 183 269 179 269 182 269 178 270 181 270 179 270 180 271 179 271 183 271 184 272 185 272 182 272 186 273 182 273 185 273 184 274 182 274 181 274 183 275 182 275 186 275 187 276 188 276 185 276 189 277 185 277 188 277 184 278 187 278 185 278 186 279 185 279 189 279 190 280 191 280 188 280 192 281 188 281 191 281 187 282 190 282 188 282 189 283 188 283 192 283 117 284 193 284 191 284 194 285 191 285 193 285 115 286 191 286 190 286 116 287 117 287 191 287 115 288 116 288 191 288 192 289 191 289 194 289 117 290 168 290 193 290 195 291 193 291 168 291 194 292 193 292 195 292 117 293 118 293 168 293 195 294 168 294 169 294 196 295 181 295 178 295 197 296 184 296 181 296 197 297 181 297 196 297 198 298 178 298 174 298 198 299 196 299 178 299 199 300 174 300 177 300 198 301 174 301 199 301 111 302 200 302 177 302 201 303 177 303 200 303 202 304 203 304 177 304 111 305 177 305 203 305 119 306 202 306 177 306 199 307 177 307 201 307 111 308 204 308 200 308 205 309 200 309 204 309 201 310 200 310 205 310 114 311 206 311 204 311 207 312 204 312 206 312 111 313 114 313 204 313 205 314 204 314 207 314 114 315 208 315 206 315 209 316 206 316 208 316 207 317 206 317 209 317 114 318 210 318 208 318 211 319 208 319 210 319 209 320 208 320 211 320 115 321 190 321 210 321 212 322 210 322 190 322 114 323 115 323 210 323 211 324 210 324 212 324 213 325 190 325 187 325 212 326 190 326 213 326 214 327 187 327 184 327 213 328 187 328 214 328 214 329 184 329 197 329 110 330 163 330 164 330 215 331 160 331 163 331 110 332 215 332 163 332 215 333 161 333 160 333 216 334 161 334 215 334 162 335 161 335 216 335 110 336 217 336 215 336 218 337 215 337 217 337 219 338 215 338 218 338 216 339 215 339 219 339 109 340 220 340 217 340 221 341 217 341 220 341 110 342 109 342 217 342 218 343 217 343 221 343 111 344 222 344 220 344 223 345 220 345 222 345 109 346 111 346 220 346 221 347 220 347 223 347 111 348 224 348 222 348 225 349 222 349 224 349 223 350 222 350 225 350 111 351 226 351 224 351 227 352 224 352 226 352 225 353 224 353 227 353 228 354 229 354 226 354 230 355 226 355 229 355 203 356 228 356 226 356 111 357 203 357 226 357 227 358 226 358 230 358 231 359 232 359 229 359 233 360 229 360 232 360 228 361 231 361 229 361 230 362 229 362 233 362 234 363 235 363 232 363 236 364 232 364 235 364 231 365 234 365 232 365 233 366 232 366 236 366 237 367 238 367 235 367 239 368 235 368 238 368 234 369 237 369 235 369 236 370 235 370 239 370 240 371 241 371 238 371 242 372 238 372 241 372 237 373 240 373 238 373 243 374 239 374 238 374 243 375 238 375 242 375 244 376 241 376 240 376 216 377 241 377 244 377 216 378 242 378 241 378 245 379 240 379 237 379 246 380 240 380 245 380 244 381 240 381 246 381 247 382 237 382 234 382 245 383 237 383 247 383 248 384 234 384 231 384 247 385 234 385 248 385 249 386 231 386 228 386 248 387 231 387 249 387 250 388 228 388 203 388 249 389 228 389 250 389 251 390 203 390 202 390 250 391 203 391 251 391 119 392 252 392 202 392 253 393 202 393 252 393 251 394 202 394 253 394 119 395 254 395 252 395 255 396 252 396 254 396 253 397 252 397 255 397 119 398 256 398 254 398 257 399 254 399 256 399 255 400 254 400 257 400 129 401 258 401 256 401 259 402 256 402 258 402 130 403 129 403 256 403 128 404 130 404 256 404 125 405 128 405 256 405 122 406 125 406 256 406 119 407 122 407 256 407 260 408 257 408 256 408 260 409 256 409 259 409 132 410 258 410 129 410 244 411 259 411 258 411 132 412 244 412 258 412 261 413 143 413 142 413 262 414 143 414 263 414 264 415 263 415 143 415 262 416 144 416 143 416 264 417 143 417 261 417 265 418 142 418 145 418 265 419 261 419 142 419 266 420 145 420 146 420 265 421 145 421 266 421 141 422 267 422 146 422 268 423 146 423 267 423 266 424 146 424 268 424 140 425 263 425 267 425 269 426 267 426 263 426 141 427 140 427 267 427 268 428 267 428 269 428 140 429 262 429 263 429 269 430 263 430 264 430 149 431 148 431 270 431 271 432 270 432 148 432 272 433 270 433 273 433 274 434 273 434 270 434 272 435 149 435 270 435 274 436 270 436 271 436 275 437 148 437 147 437 275 438 271 438 148 438 276 439 147 439 144 439 275 440 147 440 276 440 277 441 144 441 262 441 276 442 144 442 277 442 140 443 273 443 262 443 278 444 262 444 273 444 277 445 262 445 278 445 140 446 272 446 273 446 278 447 273 447 274 447 279 448 149 448 272 448 280 449 150 449 149 449 280 450 149 450 279 450 140 451 281 451 272 451 282 452 272 452 281 452 282 453 279 453 272 453 140 454 283 454 281 454 284 455 281 455 283 455 282 456 281 456 284 456 152 457 151 457 283 457 285 458 283 458 151 458 286 459 152 459 283 459 140 460 286 460 283 460 284 461 283 461 285 461 287 462 151 462 150 462 285 463 151 463 287 463 287 464 150 464 280 464 288 465 152 465 286 465 289 466 153 466 152 466 289 467 152 467 288 467 140 468 290 468 286 468 291 469 286 469 290 469 291 470 288 470 286 470 140 471 139 471 290 471 292 472 290 472 139 472 291 473 290 473 292 473 293 474 139 474 138 474 292 475 139 475 293 475 294 476 138 476 153 476 293 477 138 477 294 477 294 478 153 478 289 478 295 479 140 479 141 479 296 480 137 480 140 480 296 481 140 481 295 481 297 482 141 482 154 482 297 483 295 483 141 483 298 484 157 484 156 484 299 485 157 485 298 485 299 486 154 486 157 486 266 487 156 487 158 487 266 488 268 488 156 488 298 489 156 489 268 489 300 490 158 490 159 490 266 491 158 491 300 491 301 492 159 492 155 492 300 493 159 493 301 493 301 494 155 494 133 494 162 495 133 495 155 495 300 496 131 496 302 496 303 497 302 497 131 497 304 498 300 498 302 498 305 499 304 499 302 499 303 500 305 500 302 500 301 501 133 501 131 501 300 502 301 502 131 502 306 503 131 503 137 503 306 504 303 504 131 504 216 505 244 505 133 505 132 506 133 506 244 506 162 507 216 507 133 507 293 508 300 508 307 508 304 509 307 509 300 509 265 510 266 510 300 510 276 511 265 511 300 511 275 512 276 512 300 512 280 513 275 513 300 513 287 514 280 514 300 514 289 515 287 515 300 515 294 516 289 516 300 516 293 517 294 517 300 517 307 518 308 518 309 518 310 519 309 519 308 519 311 520 307 520 309 520 312 521 311 521 309 521 313 522 312 522 309 522 310 523 313 523 309 523 304 524 308 524 307 524 314 525 308 525 304 525 314 526 310 526 308 526 292 527 307 527 311 527 292 528 293 528 307 528 269 529 264 529 311 529 277 530 311 530 264 530 268 531 269 531 311 531 298 532 268 532 311 532 278 533 274 533 311 533 282 534 311 534 274 534 277 535 278 535 311 535 282 536 284 536 311 536 291 537 311 537 284 537 291 538 292 538 311 538 312 539 298 539 311 539 277 540 264 540 261 540 276 541 261 541 265 541 276 542 277 542 261 542 279 543 274 543 271 543 280 544 271 544 275 544 280 545 279 545 271 545 282 546 274 546 279 546 289 547 285 547 287 547 288 548 284 548 285 548 289 549 288 549 285 549 291 550 284 550 288 550 315 551 314 551 304 551 305 552 315 552 304 552 316 553 299 553 298 553 312 554 316 554 298 554 186 555 14 555 16 555 186 556 189 556 14 556 10 557 14 557 189 557 171 558 16 558 5 558 183 559 186 559 16 559 171 560 183 560 16 560 171 561 5 561 3 561 171 562 3 562 167 562 7 563 167 563 3 563 7 564 169 564 167 564 192 565 195 565 169 565 189 566 192 566 169 566 7 567 189 567 169 567 192 568 194 568 195 568 7 569 10 569 189 569 173 570 180 570 183 570 171 571 173 571 183 571 173 572 176 572 180 572 209 573 26 573 27 573 209 574 211 574 26 574 23 575 26 575 211 575 198 576 27 576 19 576 207 577 209 577 27 577 198 578 207 578 27 578 198 579 19 579 18 579 198 580 18 580 196 580 21 581 196 581 18 581 21 582 197 582 196 582 212 583 214 583 197 583 211 584 212 584 197 584 21 585 211 585 197 585 212 586 213 586 214 586 21 587 23 587 211 587 199 588 205 588 207 588 198 589 199 589 207 589 199 590 201 590 205 590 248 591 45 591 47 591 248 592 249 592 45 592 40 593 45 593 249 593 260 594 47 594 34 594 247 595 248 595 47 595 260 596 247 596 47 596 260 597 34 597 31 597 260 598 31 598 257 598 37 599 257 599 31 599 37 600 255 600 257 600 250 601 253 601 255 601 249 602 250 602 255 602 37 603 249 603 255 603 250 604 251 604 253 604 37 605 40 605 249 605 259 606 245 606 247 606 260 607 259 607 247 607 259 608 246 608 245 608 244 609 246 609 259 609 223 610 58 610 59 610 223 611 225 611 58 611 55 612 58 612 225 612 243 613 59 613 50 613 221 614 223 614 59 614 243 615 221 615 59 615 243 616 50 616 49 616 243 617 49 617 239 617 52 618 239 618 49 618 52 619 236 619 239 619 227 620 233 620 236 620 225 621 227 621 236 621 52 622 225 622 236 622 227 623 230 623 233 623 52 624 55 624 225 624 242 625 218 625 221 625 243 626 242 626 221 626 242 627 219 627 218 627 216 628 219 628 242 628 75 629 86 629 88 629 72 630 75 630 88 630 65 631 72 631 88 631 78 632 84 632 86 632 75 633 78 633 86 633 81 634 80 634 84 634 78 635 81 635 84 635 65 636 69 636 72 636 66 637 63 637 69 637 65 638 66 638 69 638 297 639 154 639 299 639 306 640 137 640 296 640 93 641 108 641 107 641 93 642 105 642 108 642 91 643 104 643 105 643 93 644 91 644 105 644 95 645 103 645 104 645 91 646 95 646 104 646 97 647 102 647 103 647 95 648 97 648 103 648 100 649 99 649 102 649 97 650 100 650 102 650 297 651 299 651 316 651 317 652 316 652 312 652 297 653 316 653 317 653 317 654 312 654 313 654 318 655 317 655 313 655 310 656 318 656 313 656 318 657 319 657 317 657 297 658 317 658 319 658 296 659 295 659 319 659 297 660 319 660 295 660 318 661 296 661 319 661 306 662 296 662 318 662 315 663 318 663 310 663 306 664 318 664 315 664 315 665 310 665 314 665 306 666 315 666 305 666 306 667 305 667 303 667 320 668 321 668 322 668 323 669 322 669 321 669 320 670 322 670 324 670 325 671 324 671 322 671 323 672 325 672 322 672 320 673 326 673 321 673 327 674 321 674 326 674 327 675 323 675 321 675 328 676 329 676 326 676 330 677 326 677 329 677 331 678 328 678 326 678 320 679 331 679 326 679 327 680 326 680 330 680 332 681 333 681 329 681 334 682 329 682 333 682 332 683 329 683 328 683 330 684 329 684 334 684 335 685 324 685 333 685 336 686 333 686 324 686 335 687 333 687 332 687 336 688 334 688 333 688 337 689 324 689 335 689 337 690 320 690 324 690 325 691 336 691 324 691 338 692 328 692 331 692 339 693 332 693 328 693 338 694 339 694 328 694 320 695 340 695 331 695 341 696 331 696 340 696 341 697 338 697 331 697 335 698 342 698 340 698 343 699 340 699 342 699 344 700 335 700 340 700 320 701 344 701 340 701 341 702 340 702 343 702 335 703 345 703 342 703 346 704 342 704 345 704 343 705 342 705 346 705 335 706 332 706 345 706 347 707 345 707 332 707 347 708 346 708 345 708 339 709 347 709 332 709 348 710 349 710 350 710 351 711 350 711 349 711 352 712 350 712 353 712 354 713 353 713 350 713 355 714 348 714 350 714 352 715 355 715 350 715 351 716 354 716 350 716 348 717 356 717 349 717 357 718 349 718 356 718 357 719 351 719 349 719 358 720 359 720 356 720 360 721 356 721 359 721 361 722 358 722 356 722 362 723 361 723 356 723 348 724 362 724 356 724 357 725 356 725 360 725 363 726 364 726 359 726 365 727 359 727 364 727 363 728 359 728 358 728 360 729 359 729 365 729 366 730 353 730 364 730 367 731 364 731 353 731 366 732 364 732 363 732 367 733 365 733 364 733 368 734 352 734 353 734 366 735 368 735 353 735 354 736 367 736 353 736 369 737 358 737 361 737 370 738 363 738 358 738 369 739 370 739 358 739 362 740 371 740 361 740 372 741 361 741 371 741 372 742 369 742 361 742 373 743 374 743 371 743 375 744 371 744 374 744 362 745 376 745 371 745 373 746 371 746 376 746 372 747 371 747 375 747 373 748 377 748 374 748 378 749 374 749 377 749 375 750 374 750 378 750 366 751 363 751 377 751 379 752 377 752 363 752 366 753 377 753 373 753 379 754 378 754 377 754 370 755 379 755 363 755 380 756 381 756 382 756 383 757 382 757 381 757 380 758 382 758 384 758 385 759 384 759 382 759 386 760 382 760 383 760 385 761 382 761 386 761 380 762 387 762 381 762 383 763 381 763 387 763 380 764 388 764 387 764 389 765 387 765 388 765 383 766 387 766 389 766 390 767 391 767 388 767 392 768 388 768 391 768 380 769 390 769 388 769 389 770 388 770 392 770 393 771 394 771 391 771 395 772 391 772 394 772 390 773 393 773 391 773 392 774 391 774 395 774 396 775 397 775 394 775 398 776 394 776 397 776 393 777 396 777 394 777 395 778 394 778 398 778 396 779 399 779 397 779 400 780 397 780 399 780 401 781 397 781 400 781 398 782 397 782 401 782 396 783 402 783 399 783 400 784 399 784 402 784 396 785 403 785 402 785 404 786 402 786 403 786 400 787 402 787 404 787 396 788 405 788 403 788 406 789 403 789 405 789 404 790 403 790 406 790 407 791 384 791 405 791 408 792 405 792 384 792 407 793 405 793 396 793 406 794 405 794 408 794 407 795 380 795 384 795 385 796 408 796 384 796 337 797 409 797 410 797 411 798 410 798 409 798 337 799 410 799 412 799 413 800 412 800 410 800 413 801 410 801 411 801 335 802 414 802 409 802 415 803 409 803 414 803 337 804 335 804 409 804 411 805 409 805 415 805 335 806 416 806 414 806 417 807 414 807 416 807 415 808 414 808 417 808 373 809 418 809 416 809 419 810 416 810 418 810 335 811 373 811 416 811 420 812 416 812 419 812 417 813 416 813 420 813 373 814 421 814 418 814 419 815 418 815 421 815 373 816 376 816 421 816 422 817 421 817 376 817 419 818 421 818 422 818 423 819 376 819 362 819 422 820 376 820 423 820 424 821 362 821 348 821 423 822 362 822 424 822 425 823 348 823 355 823 424 824 348 824 425 824 337 825 426 825 355 825 427 826 355 826 426 826 352 827 337 827 355 827 428 828 355 828 427 828 425 829 355 829 428 829 337 830 412 830 426 830 427 831 426 831 412 831 413 832 427 832 412 832 429 833 373 833 335 833 430 834 366 834 373 834 430 835 373 835 429 835 431 836 335 836 344 836 429 837 335 837 431 837 432 838 433 838 344 838 434 839 344 839 433 839 320 840 432 840 344 840 431 841 344 841 434 841 435 842 433 842 432 842 434 843 433 843 435 843 436 844 432 844 320 844 435 845 432 845 436 845 437 846 320 846 337 846 436 847 320 847 437 847 438 848 337 848 352 848 437 849 337 849 438 849 439 850 352 850 368 850 438 851 352 851 439 851 440 852 441 852 368 852 442 853 368 853 441 853 443 854 440 854 368 854 444 855 443 855 368 855 366 856 444 856 368 856 439 857 368 857 442 857 445 858 441 858 440 858 442 859 441 859 445 859 446 860 447 860 440 860 448 861 440 861 447 861 443 862 446 862 440 862 445 863 440 863 448 863 407 864 396 864 447 864 449 865 447 865 396 865 446 866 407 866 447 866 450 867 447 867 449 867 448 868 447 868 450 868 451 869 396 869 393 869 452 870 449 870 396 870 453 871 396 871 451 871 452 872 396 872 453 872 390 873 454 873 393 873 451 874 393 874 454 874 455 875 456 875 454 875 457 876 454 876 456 876 390 877 455 877 454 877 457 878 451 878 454 878 458 879 456 879 455 879 458 880 459 880 456 880 460 881 456 881 459 881 457 882 456 882 460 882 461 883 455 883 390 883 462 884 463 884 455 884 464 885 455 885 463 885 465 886 462 886 455 886 466 887 465 887 455 887 461 888 466 888 455 888 467 889 468 889 455 889 469 890 455 890 468 890 464 891 467 891 455 891 470 892 455 892 469 892 470 893 471 893 455 893 472 894 455 894 471 894 473 895 455 895 472 895 473 896 458 896 455 896 474 897 390 897 380 897 474 898 461 898 390 898 475 899 380 899 407 899 476 900 477 900 380 900 474 901 380 901 477 901 478 902 476 902 380 902 479 903 478 903 380 903 475 904 479 904 380 904 475 905 407 905 446 905 480 906 446 906 443 906 481 907 446 907 480 907 482 908 446 908 481 908 482 909 475 909 446 909 483 910 443 910 444 910 480 911 443 911 483 911 484 912 444 912 366 912 483 913 444 913 484 913 430 914 484 914 366 914 438 915 485 915 486 915 487 916 486 916 485 916 438 917 486 917 488 917 489 918 488 918 486 918 489 919 486 919 487 919 438 920 490 920 485 920 491 921 485 921 490 921 491 922 487 922 485 922 439 923 492 923 490 923 493 924 490 924 492 924 438 925 439 925 490 925 491 926 490 926 493 926 494 927 495 927 492 927 496 928 492 928 495 928 497 929 494 929 492 929 439 930 497 930 492 930 493 931 492 931 496 931 498 932 499 932 495 932 500 933 495 933 499 933 494 934 498 934 495 934 496 935 495 935 500 935 501 936 502 936 499 936 503 937 499 937 502 937 498 938 501 938 499 938 500 939 499 939 503 939 504 940 505 940 502 940 506 941 502 941 505 941 504 942 502 942 501 942 503 943 502 943 506 943 507 944 508 944 505 944 509 945 505 945 508 945 504 946 507 946 505 946 506 947 505 947 509 947 510 948 511 948 508 948 512 949 508 949 511 949 507 950 510 950 508 950 509 951 508 951 512 951 437 952 513 952 511 952 514 953 511 953 513 953 435 954 511 954 510 954 436 955 437 955 511 955 435 956 436 956 511 956 512 957 511 957 514 957 437 958 488 958 513 958 515 959 513 959 488 959 514 960 513 960 515 960 437 961 438 961 488 961 515 962 488 962 489 962 516 963 501 963 498 963 517 964 504 964 501 964 517 965 501 965 516 965 518 966 498 966 494 966 518 967 516 967 498 967 519 968 494 968 497 968 518 969 494 969 519 969 431 970 520 970 497 970 521 971 497 971 520 971 522 972 523 972 497 972 431 973 497 973 523 973 439 974 522 974 497 974 519 975 497 975 521 975 431 976 524 976 520 976 525 977 520 977 524 977 521 978 520 978 525 978 434 979 526 979 524 979 527 980 524 980 526 980 431 981 434 981 524 981 525 982 524 982 527 982 434 983 528 983 526 983 529 984 526 984 528 984 527 985 526 985 529 985 434 986 530 986 528 986 531 987 528 987 530 987 529 988 528 988 531 988 435 989 510 989 530 989 532 990 530 990 510 990 434 991 435 991 530 991 531 992 530 992 532 992 533 993 510 993 507 993 532 994 510 994 533 994 534 995 507 995 504 995 533 996 507 996 534 996 534 997 504 997 517 997 430 998 483 998 484 998 535 999 480 999 483 999 430 1000 535 1000 483 1000 535 1001 481 1001 480 1001 536 1002 481 1002 535 1002 482 1003 481 1003 536 1003 430 1004 537 1004 535 1004 538 1005 535 1005 537 1005 539 1006 535 1006 538 1006 536 1007 535 1007 539 1007 429 1008 540 1008 537 1008 541 1009 537 1009 540 1009 430 1010 429 1010 537 1010 538 1011 537 1011 541 1011 431 1012 542 1012 540 1012 543 1013 540 1013 542 1013 429 1014 431 1014 540 1014 541 1015 540 1015 543 1015 431 1016 544 1016 542 1016 545 1017 542 1017 544 1017 543 1018 542 1018 545 1018 431 1019 546 1019 544 1019 547 1020 544 1020 546 1020 545 1021 544 1021 547 1021 548 1022 549 1022 546 1022 550 1023 546 1023 549 1023 523 1024 548 1024 546 1024 431 1025 523 1025 546 1025 547 1026 546 1026 550 1026 551 1027 552 1027 549 1027 553 1028 549 1028 552 1028 548 1029 551 1029 549 1029 550 1030 549 1030 553 1030 554 1031 555 1031 552 1031 556 1032 552 1032 555 1032 551 1033 554 1033 552 1033 553 1034 552 1034 556 1034 557 1035 558 1035 555 1035 559 1036 555 1036 558 1036 554 1037 557 1037 555 1037 556 1038 555 1038 559 1038 560 1039 561 1039 558 1039 562 1040 558 1040 561 1040 557 1041 560 1041 558 1041 563 1042 559 1042 558 1042 563 1043 558 1043 562 1043 564 1044 561 1044 560 1044 536 1045 561 1045 564 1045 536 1046 562 1046 561 1046 565 1047 560 1047 557 1047 566 1048 560 1048 565 1048 564 1049 560 1049 566 1049 567 1050 557 1050 554 1050 565 1051 557 1051 567 1051 568 1052 554 1052 551 1052 567 1053 554 1053 568 1053 569 1054 551 1054 548 1054 568 1055 551 1055 569 1055 570 1056 548 1056 523 1056 569 1057 548 1057 570 1057 571 1058 523 1058 522 1058 570 1059 523 1059 571 1059 439 1060 572 1060 522 1060 573 1061 522 1061 572 1061 571 1062 522 1062 573 1062 439 1063 574 1063 572 1063 575 1064 572 1064 574 1064 573 1065 572 1065 575 1065 439 1066 576 1066 574 1066 577 1067 574 1067 576 1067 575 1068 574 1068 577 1068 449 1069 578 1069 576 1069 579 1070 576 1070 578 1070 450 1071 449 1071 576 1071 448 1072 450 1072 576 1072 445 1073 448 1073 576 1073 442 1074 445 1074 576 1074 439 1075 442 1075 576 1075 580 1076 577 1076 576 1076 580 1077 576 1077 579 1077 452 1078 578 1078 449 1078 564 1079 579 1079 578 1079 452 1080 564 1080 578 1080 581 1081 463 1081 462 1081 582 1082 463 1082 583 1082 584 1083 583 1083 463 1083 582 1084 464 1084 463 1084 584 1085 463 1085 581 1085 585 1086 462 1086 465 1086 585 1087 581 1087 462 1087 586 1088 465 1088 466 1088 585 1089 465 1089 586 1089 461 1090 587 1090 466 1090 588 1091 466 1091 587 1091 586 1092 466 1092 588 1092 460 1093 583 1093 587 1093 589 1094 587 1094 583 1094 461 1095 460 1095 587 1095 588 1096 587 1096 589 1096 460 1097 582 1097 583 1097 589 1098 583 1098 584 1098 469 1099 468 1099 590 1099 591 1100 590 1100 468 1100 592 1101 590 1101 593 1101 594 1102 593 1102 590 1102 592 1103 469 1103 590 1103 594 1104 590 1104 591 1104 595 1105 468 1105 467 1105 595 1106 591 1106 468 1106 596 1107 467 1107 464 1107 595 1108 467 1108 596 1108 597 1109 464 1109 582 1109 596 1110 464 1110 597 1110 460 1111 593 1111 582 1111 598 1112 582 1112 593 1112 597 1113 582 1113 598 1113 460 1114 592 1114 593 1114 598 1115 593 1115 594 1115 599 1116 469 1116 592 1116 600 1117 470 1117 469 1117 600 1118 469 1118 599 1118 460 1119 601 1119 592 1119 602 1120 592 1120 601 1120 602 1121 599 1121 592 1121 460 1122 603 1122 601 1122 604 1123 601 1123 603 1123 602 1124 601 1124 604 1124 472 1125 471 1125 603 1125 605 1126 603 1126 471 1126 606 1127 472 1127 603 1127 460 1128 606 1128 603 1128 604 1129 603 1129 605 1129 607 1130 471 1130 470 1130 605 1131 471 1131 607 1131 607 1132 470 1132 600 1132 608 1133 472 1133 606 1133 609 1134 473 1134 472 1134 609 1135 472 1135 608 1135 460 1136 610 1136 606 1136 611 1137 606 1137 610 1137 611 1138 608 1138 606 1138 460 1139 459 1139 610 1139 612 1140 610 1140 459 1140 611 1141 610 1141 612 1141 613 1142 459 1142 458 1142 612 1143 459 1143 613 1143 614 1144 458 1144 473 1144 613 1145 458 1145 614 1145 614 1146 473 1146 609 1146 615 1147 460 1147 461 1147 616 1148 457 1148 460 1148 616 1149 460 1149 615 1149 617 1150 461 1150 474 1150 617 1151 615 1151 461 1151 618 1152 477 1152 476 1152 619 1153 477 1153 618 1153 619 1154 474 1154 477 1154 586 1155 476 1155 478 1155 586 1156 588 1156 476 1156 618 1157 476 1157 588 1157 620 1158 478 1158 479 1158 586 1159 478 1159 620 1159 621 1160 479 1160 475 1160 620 1161 479 1161 621 1161 621 1162 475 1162 453 1162 482 1163 453 1163 475 1163 620 1164 451 1164 622 1164 623 1165 622 1165 451 1165 624 1166 620 1166 622 1166 625 1167 624 1167 622 1167 623 1168 625 1168 622 1168 621 1169 453 1169 451 1169 620 1170 621 1170 451 1170 626 1171 451 1171 457 1171 626 1172 623 1172 451 1172 536 1173 564 1173 453 1173 452 1174 453 1174 564 1174 482 1175 536 1175 453 1175 613 1176 620 1176 627 1176 624 1177 627 1177 620 1177 585 1178 586 1178 620 1178 596 1179 585 1179 620 1179 595 1180 596 1180 620 1180 600 1181 595 1181 620 1181 607 1182 600 1182 620 1182 609 1183 607 1183 620 1183 614 1184 609 1184 620 1184 613 1185 614 1185 620 1185 627 1186 628 1186 629 1186 630 1187 629 1187 628 1187 631 1188 627 1188 629 1188 632 1189 631 1189 629 1189 633 1190 632 1190 629 1190 630 1191 633 1191 629 1191 624 1192 628 1192 627 1192 634 1193 628 1193 624 1193 634 1194 630 1194 628 1194 612 1195 627 1195 631 1195 612 1196 613 1196 627 1196 589 1197 584 1197 631 1197 597 1198 631 1198 584 1198 588 1199 589 1199 631 1199 618 1200 588 1200 631 1200 598 1201 594 1201 631 1201 602 1202 631 1202 594 1202 597 1203 598 1203 631 1203 602 1204 604 1204 631 1204 611 1205 631 1205 604 1205 611 1206 612 1206 631 1206 632 1207 618 1207 631 1207 597 1208 584 1208 581 1208 596 1209 581 1209 585 1209 596 1210 597 1210 581 1210 599 1211 594 1211 591 1211 600 1212 591 1212 595 1212 600 1213 599 1213 591 1213 602 1214 594 1214 599 1214 609 1215 605 1215 607 1215 608 1216 604 1216 605 1216 609 1217 608 1217 605 1217 611 1218 604 1218 608 1218 635 1219 634 1219 624 1219 625 1220 635 1220 624 1220 636 1221 619 1221 618 1221 632 1222 636 1222 618 1222 506 1223 334 1223 336 1223 506 1224 509 1224 334 1224 330 1225 334 1225 509 1225 491 1226 336 1226 325 1226 503 1227 506 1227 336 1227 491 1228 503 1228 336 1228 491 1229 325 1229 323 1229 491 1230 323 1230 487 1230 327 1231 487 1231 323 1231 327 1232 489 1232 487 1232 512 1233 515 1233 489 1233 509 1234 512 1234 489 1234 327 1235 509 1235 489 1235 512 1236 514 1236 515 1236 327 1237 330 1237 509 1237 493 1238 500 1238 503 1238 491 1239 493 1239 503 1239 493 1240 496 1240 500 1240 529 1241 346 1241 347 1241 529 1242 531 1242 346 1242 343 1243 346 1243 531 1243 518 1244 347 1244 339 1244 527 1245 529 1245 347 1245 518 1246 527 1246 347 1246 518 1247 339 1247 338 1247 518 1248 338 1248 516 1248 341 1249 516 1249 338 1249 341 1250 517 1250 516 1250 532 1251 534 1251 517 1251 531 1252 532 1252 517 1252 341 1253 531 1253 517 1253 532 1254 533 1254 534 1254 341 1255 343 1255 531 1255 519 1256 525 1256 527 1256 518 1257 519 1257 527 1257 519 1258 521 1258 525 1258 568 1259 365 1259 367 1259 568 1260 569 1260 365 1260 360 1261 365 1261 569 1261 580 1262 367 1262 354 1262 567 1263 568 1263 367 1263 580 1264 567 1264 367 1264 580 1265 354 1265 351 1265 580 1266 351 1266 577 1266 357 1267 577 1267 351 1267 357 1268 575 1268 577 1268 570 1269 573 1269 575 1269 569 1270 570 1270 575 1270 357 1271 569 1271 575 1271 570 1272 571 1272 573 1272 357 1273 360 1273 569 1273 579 1274 565 1274 567 1274 580 1275 579 1275 567 1275 579 1276 566 1276 565 1276 564 1277 566 1277 579 1277 543 1278 378 1278 379 1278 543 1279 545 1279 378 1279 375 1280 378 1280 545 1280 563 1281 379 1281 370 1281 541 1282 543 1282 379 1282 563 1283 541 1283 379 1283 563 1284 370 1284 369 1284 563 1285 369 1285 559 1285 372 1286 559 1286 369 1286 372 1287 556 1287 559 1287 547 1288 553 1288 556 1288 545 1289 547 1289 556 1289 372 1290 545 1290 556 1290 547 1291 550 1291 553 1291 372 1292 375 1292 545 1292 562 1293 538 1293 541 1293 563 1294 562 1294 541 1294 562 1295 539 1295 538 1295 536 1296 539 1296 562 1296 395 1297 406 1297 408 1297 392 1298 395 1298 408 1298 385 1299 392 1299 408 1299 398 1300 404 1300 406 1300 395 1301 398 1301 406 1301 401 1302 400 1302 404 1302 398 1303 401 1303 404 1303 385 1304 389 1304 392 1304 386 1305 383 1305 389 1305 385 1306 386 1306 389 1306 617 1307 474 1307 619 1307 626 1308 457 1308 616 1308 413 1309 428 1309 427 1309 413 1310 425 1310 428 1310 411 1311 424 1311 425 1311 413 1312 411 1312 425 1312 415 1313 423 1313 424 1313 411 1314 415 1314 424 1314 417 1315 422 1315 423 1315 415 1316 417 1316 423 1316 420 1317 419 1317 422 1317 417 1318 420 1318 422 1318 617 1319 619 1319 636 1319 637 1320 636 1320 632 1320 617 1321 636 1321 637 1321 637 1322 632 1322 633 1322 638 1323 637 1323 633 1323 630 1324 638 1324 633 1324 638 1325 639 1325 637 1325 617 1326 637 1326 639 1326 616 1327 615 1327 639 1327 617 1328 639 1328 615 1328 638 1329 616 1329 639 1329 626 1330 616 1330 638 1330 635 1331 638 1331 630 1331 626 1332 638 1332 635 1332 635 1333 630 1333 634 1333 626 1334 635 1334 625 1334 626 1335 625 1335 623 1335 640 1336 641 1336 642 1336 643 1337 642 1337 641 1337 644 1338 642 1338 645 1338 646 1339 645 1339 642 1339 647 1340 640 1340 642 1340 648 1341 647 1341 642 1341 649 1342 648 1342 642 1342 650 1343 649 1343 642 1343 651 1344 650 1344 642 1344 652 1345 651 1345 642 1345 644 1346 652 1346 642 1346 646 1347 642 1347 643 1347 653 1348 654 1348 641 1348 655 1349 641 1349 654 1349 640 1350 656 1350 641 1350 657 1351 641 1351 656 1351 658 1352 653 1352 641 1352 659 1353 658 1353 641 1353 660 1354 659 1354 641 1354 661 1355 660 1355 641 1355 657 1356 661 1356 641 1356 655 1357 643 1357 641 1357 662 1358 663 1358 654 1358 664 1359 654 1359 663 1359 665 1360 662 1360 654 1360 653 1361 665 1361 654 1361 664 1362 655 1362 654 1362 666 1363 663 1363 662 1363 666 1364 664 1364 663 1364 667 1365 668 1365 662 1365 669 1366 662 1366 668 1366 670 1367 662 1367 665 1367 671 1368 672 1368 662 1368 673 1369 662 1369 672 1369 670 1370 671 1370 662 1370 674 1371 667 1371 662 1371 673 1372 674 1372 662 1372 669 1373 666 1373 662 1373 675 1374 676 1374 668 1374 677 1375 668 1375 676 1375 678 1376 679 1376 668 1376 675 1377 668 1377 679 1377 680 1378 678 1378 668 1378 681 1379 680 1379 668 1379 682 1380 668 1380 667 1380 681 1381 668 1381 682 1381 677 1382 669 1382 668 1382 683 1383 684 1383 676 1383 685 1384 676 1384 684 1384 686 1385 683 1385 676 1385 687 1386 686 1386 676 1386 688 1387 687 1387 676 1387 689 1388 688 1388 676 1388 690 1389 689 1389 676 1389 691 1390 690 1390 676 1390 675 1391 691 1391 676 1391 685 1392 677 1392 676 1392 692 1393 693 1393 684 1393 694 1394 684 1394 693 1394 683 1395 695 1395 684 1395 696 1396 684 1396 695 1396 697 1397 692 1397 684 1397 698 1398 697 1398 684 1398 699 1399 698 1399 684 1399 700 1400 699 1400 684 1400 696 1401 700 1401 684 1401 694 1402 685 1402 684 1402 701 1403 702 1403 693 1403 703 1404 693 1404 702 1404 704 1405 701 1405 693 1405 692 1406 704 1406 693 1406 703 1407 694 1407 693 1407 705 1408 702 1408 701 1408 705 1409 703 1409 702 1409 706 1410 645 1410 701 1410 707 1411 701 1411 645 1411 708 1412 701 1412 704 1412 709 1413 710 1413 701 1413 711 1414 701 1414 710 1414 708 1415 709 1415 701 1415 712 1416 706 1416 701 1416 711 1417 712 1417 701 1417 707 1418 705 1418 701 1418 713 1419 714 1419 645 1419 644 1420 645 1420 714 1420 715 1421 713 1421 645 1421 716 1422 715 1422 645 1422 717 1423 645 1423 706 1423 716 1424 645 1424 717 1424 646 1425 707 1425 645 1425 718 1426 719 1426 720 1426 721 1427 720 1427 719 1427 718 1428 720 1428 648 1428 722 1429 648 1429 720 1429 722 1430 720 1430 721 1430 718 1431 656 1431 719 1431 723 1432 719 1432 656 1432 723 1433 721 1433 719 1433 724 1434 656 1434 640 1434 718 1435 657 1435 656 1435 723 1436 656 1436 724 1436 725 1437 640 1437 647 1437 724 1438 640 1438 725 1438 726 1439 647 1439 648 1439 725 1440 647 1440 726 1440 649 1441 718 1441 648 1441 726 1442 648 1442 722 1442 727 1443 728 1443 729 1443 730 1444 729 1444 728 1444 659 1445 729 1445 731 1445 732 1446 731 1446 729 1446 733 1447 729 1447 659 1447 727 1448 729 1448 733 1448 732 1449 729 1449 730 1449 734 1450 665 1450 728 1450 735 1451 728 1451 665 1451 736 1452 734 1452 728 1452 727 1453 736 1453 728 1453 735 1454 730 1454 728 1454 737 1455 665 1455 653 1455 738 1456 670 1456 665 1456 734 1457 738 1457 665 1457 735 1458 665 1458 737 1458 739 1459 653 1459 658 1459 737 1460 653 1460 739 1460 659 1461 731 1461 658 1461 740 1462 658 1462 731 1462 739 1463 658 1463 740 1463 740 1464 731 1464 732 1464 673 1465 672 1465 741 1465 742 1466 741 1466 672 1466 681 1467 741 1467 743 1467 744 1468 743 1468 741 1468 745 1469 673 1469 741 1469 681 1470 745 1470 741 1470 744 1471 741 1471 742 1471 746 1472 672 1472 671 1472 746 1473 742 1473 672 1473 747 1474 671 1474 670 1474 746 1475 671 1475 747 1475 748 1476 749 1476 670 1476 750 1477 670 1477 749 1477 738 1478 748 1478 670 1478 747 1479 670 1479 750 1479 751 1480 743 1480 749 1480 752 1481 749 1481 743 1481 753 1482 751 1482 749 1482 748 1483 753 1483 749 1483 750 1484 749 1484 752 1484 751 1485 681 1485 743 1485 752 1486 743 1486 744 1486 754 1487 755 1487 756 1487 757 1488 756 1488 755 1488 681 1489 756 1489 758 1489 759 1490 758 1490 756 1490 681 1491 754 1491 756 1491 759 1492 756 1492 757 1492 754 1493 679 1493 755 1493 760 1494 755 1494 679 1494 760 1495 757 1495 755 1495 761 1496 679 1496 678 1496 762 1497 675 1497 679 1497 754 1498 762 1498 679 1498 760 1499 679 1499 761 1499 763 1500 678 1500 680 1500 761 1501 678 1501 763 1501 681 1502 758 1502 680 1502 764 1503 680 1503 758 1503 763 1504 680 1504 764 1504 764 1505 758 1505 759 1505 765 1506 766 1506 767 1506 768 1507 767 1507 766 1507 765 1508 767 1508 687 1508 769 1509 687 1509 767 1509 769 1510 767 1510 768 1510 765 1511 695 1511 766 1511 770 1512 766 1512 695 1512 770 1513 768 1513 766 1513 771 1514 695 1514 683 1514 765 1515 696 1515 695 1515 770 1516 695 1516 771 1516 772 1517 683 1517 686 1517 771 1518 683 1518 772 1518 773 1519 686 1519 687 1519 772 1520 686 1520 773 1520 688 1521 765 1521 687 1521 773 1522 687 1522 769 1522 774 1523 775 1523 776 1523 777 1524 776 1524 775 1524 698 1525 776 1525 778 1525 779 1526 778 1526 776 1526 780 1527 776 1527 698 1527 774 1528 776 1528 780 1528 779 1529 776 1529 777 1529 781 1530 704 1530 775 1530 782 1531 775 1531 704 1531 783 1532 775 1532 774 1532 783 1533 781 1533 775 1533 782 1534 777 1534 775 1534 784 1535 704 1535 692 1535 785 1536 708 1536 704 1536 781 1537 785 1537 704 1537 782 1538 704 1538 784 1538 786 1539 692 1539 697 1539 784 1540 692 1540 786 1540 698 1541 778 1541 697 1541 787 1542 697 1542 778 1542 786 1543 697 1543 787 1543 787 1544 778 1544 779 1544 711 1545 710 1545 788 1545 789 1546 788 1546 710 1546 716 1547 788 1547 790 1547 791 1548 790 1548 788 1548 792 1549 711 1549 788 1549 716 1550 792 1550 788 1550 791 1551 788 1551 789 1551 793 1552 710 1552 709 1552 793 1553 789 1553 710 1553 794 1554 709 1554 708 1554 793 1555 709 1555 794 1555 795 1556 796 1556 708 1556 797 1557 708 1557 796 1557 785 1558 795 1558 708 1558 794 1559 708 1559 797 1559 798 1560 790 1560 796 1560 799 1561 796 1561 790 1561 800 1562 798 1562 796 1562 795 1563 800 1563 796 1563 797 1564 796 1564 799 1564 798 1565 716 1565 790 1565 799 1566 790 1566 791 1566 801 1567 802 1567 803 1567 804 1568 803 1568 802 1568 716 1569 803 1569 805 1569 806 1570 805 1570 803 1570 716 1571 801 1571 803 1571 806 1572 803 1572 804 1572 801 1573 714 1573 802 1573 807 1574 802 1574 714 1574 807 1575 804 1575 802 1575 808 1576 714 1576 713 1576 809 1577 644 1577 714 1577 801 1578 809 1578 714 1578 807 1579 714 1579 808 1579 810 1580 713 1580 715 1580 808 1581 713 1581 810 1581 716 1582 805 1582 715 1582 811 1583 715 1583 805 1583 810 1584 715 1584 811 1584 811 1585 805 1585 806 1585 812 1586 659 1586 660 1586 813 1587 733 1587 659 1587 813 1588 659 1588 812 1588 814 1589 660 1589 661 1589 814 1590 812 1590 660 1590 815 1591 661 1591 657 1591 814 1592 661 1592 815 1592 718 1593 816 1593 657 1593 817 1594 657 1594 816 1594 815 1595 657 1595 817 1595 727 1596 733 1596 816 1596 818 1597 816 1597 733 1597 718 1598 727 1598 816 1598 817 1599 816 1599 818 1599 818 1600 733 1600 813 1600 819 1601 667 1601 674 1601 820 1602 682 1602 667 1602 820 1603 667 1603 819 1603 821 1604 674 1604 673 1604 821 1605 819 1605 674 1605 822 1606 673 1606 745 1606 821 1607 673 1607 822 1607 681 1608 823 1608 745 1608 824 1609 745 1609 823 1609 822 1610 745 1610 824 1610 681 1611 682 1611 823 1611 825 1612 823 1612 682 1612 824 1613 823 1613 825 1613 825 1614 682 1614 820 1614 826 1615 698 1615 699 1615 827 1616 780 1616 698 1616 827 1617 698 1617 826 1617 828 1618 699 1618 700 1618 828 1619 826 1619 699 1619 829 1620 700 1620 696 1620 828 1621 700 1621 829 1621 765 1622 830 1622 696 1622 831 1623 696 1623 830 1623 829 1624 696 1624 831 1624 774 1625 780 1625 830 1625 832 1626 830 1626 780 1626 765 1627 774 1627 830 1627 831 1628 830 1628 832 1628 832 1629 780 1629 827 1629 833 1630 706 1630 712 1630 834 1631 717 1631 706 1631 834 1632 706 1632 833 1632 835 1633 712 1633 711 1633 835 1634 833 1634 712 1634 836 1635 711 1635 792 1635 835 1636 711 1636 836 1636 716 1637 837 1637 792 1637 838 1638 792 1638 837 1638 836 1639 792 1639 838 1639 716 1640 717 1640 837 1640 839 1641 837 1641 717 1641 838 1642 837 1642 839 1642 839 1643 717 1643 834 1643 840 1644 774 1644 765 1644 841 1645 783 1645 774 1645 841 1646 774 1646 840 1646 842 1647 765 1647 688 1647 842 1648 843 1648 765 1648 840 1649 765 1649 843 1649 844 1650 688 1650 689 1650 844 1651 842 1651 688 1651 845 1652 689 1652 690 1652 846 1653 844 1653 689 1653 846 1654 689 1654 845 1654 847 1655 690 1655 691 1655 848 1656 690 1656 847 1656 845 1657 690 1657 848 1657 849 1658 691 1658 675 1658 849 1659 847 1659 691 1659 850 1660 675 1660 762 1660 849 1661 675 1661 850 1661 851 1662 762 1662 754 1662 852 1663 850 1663 762 1663 852 1664 762 1664 853 1664 851 1665 853 1665 762 1665 854 1666 754 1666 681 1666 851 1667 754 1667 854 1667 855 1668 681 1668 751 1668 854 1669 681 1669 855 1669 856 1670 751 1670 753 1670 856 1671 855 1671 751 1671 857 1672 753 1672 748 1672 858 1673 856 1673 753 1673 858 1674 753 1674 857 1674 859 1675 748 1675 738 1675 860 1676 748 1676 859 1676 857 1677 748 1677 860 1677 861 1678 738 1678 734 1678 861 1679 859 1679 738 1679 862 1680 734 1680 736 1680 861 1681 734 1681 862 1681 863 1682 736 1682 727 1682 864 1683 862 1683 736 1683 864 1684 736 1684 865 1684 863 1685 865 1685 736 1685 866 1686 727 1686 718 1686 863 1687 727 1687 866 1687 867 1688 718 1688 649 1688 867 1689 868 1689 718 1689 866 1690 718 1690 868 1690 869 1691 649 1691 650 1691 869 1692 867 1692 649 1692 870 1693 650 1693 651 1693 871 1694 869 1694 650 1694 871 1695 650 1695 870 1695 872 1696 651 1696 652 1696 873 1697 651 1697 872 1697 870 1698 651 1698 873 1698 874 1699 652 1699 644 1699 874 1700 872 1700 652 1700 875 1701 644 1701 809 1701 874 1702 644 1702 875 1702 876 1703 809 1703 801 1703 877 1704 875 1704 809 1704 877 1705 809 1705 878 1705 876 1706 878 1706 809 1706 879 1707 801 1707 716 1707 876 1708 801 1708 879 1708 880 1709 716 1709 798 1709 880 1710 881 1710 716 1710 879 1711 716 1711 881 1711 882 1712 798 1712 800 1712 882 1713 880 1713 798 1713 883 1714 800 1714 795 1714 884 1715 882 1715 800 1715 884 1716 800 1716 883 1716 885 1717 795 1717 785 1717 886 1718 795 1718 885 1718 883 1719 795 1719 886 1719 887 1720 785 1720 781 1720 887 1721 885 1721 785 1721 888 1722 781 1722 783 1722 887 1723 781 1723 888 1723 889 1724 888 1724 783 1724 889 1725 783 1725 890 1725 841 1726 890 1726 783 1726 891 1727 892 1727 893 1727 894 1728 893 1728 892 1728 895 1729 893 1729 896 1729 897 1730 896 1730 893 1730 895 1731 898 1731 893 1731 899 1732 893 1732 898 1732 900 1733 891 1733 893 1733 901 1734 900 1734 893 1734 899 1735 901 1735 893 1735 897 1736 893 1736 894 1736 902 1737 903 1737 892 1737 904 1738 892 1738 903 1738 891 1739 902 1739 892 1739 904 1740 894 1740 892 1740 905 1741 906 1741 903 1741 907 1742 903 1742 906 1742 908 1743 903 1743 902 1743 909 1744 905 1744 903 1744 908 1745 909 1745 903 1745 904 1746 903 1746 907 1746 910 1747 911 1747 906 1747 912 1748 906 1748 911 1748 913 1749 906 1749 914 1749 905 1750 914 1750 906 1750 915 1751 910 1751 906 1751 916 1752 915 1752 906 1752 913 1753 916 1753 906 1753 907 1754 906 1754 912 1754 917 1755 896 1755 911 1755 897 1756 911 1756 896 1756 910 1757 917 1757 911 1757 918 1758 911 1758 897 1758 912 1759 911 1759 918 1759 919 1760 896 1760 917 1760 920 1761 895 1761 896 1761 919 1762 920 1762 896 1762 763 1763 921 1763 914 1763 922 1764 914 1764 921 1764 772 1765 914 1765 923 1765 924 1766 923 1766 914 1766 761 1767 763 1767 914 1767 760 1768 761 1768 914 1768 925 1769 760 1769 914 1769 926 1770 914 1770 772 1770 926 1771 913 1771 914 1771 927 1772 925 1772 914 1772 928 1773 927 1773 914 1773 905 1774 928 1774 914 1774 924 1775 914 1775 922 1775 747 1776 929 1776 921 1776 930 1777 921 1777 929 1777 746 1778 921 1778 742 1778 931 1779 742 1779 921 1779 746 1780 747 1780 921 1780 763 1781 764 1781 921 1781 855 1782 921 1782 764 1782 855 1783 931 1783 921 1783 922 1784 921 1784 930 1784 750 1785 932 1785 929 1785 933 1786 929 1786 932 1786 747 1787 750 1787 929 1787 930 1788 929 1788 933 1788 739 1789 934 1789 932 1789 935 1790 932 1790 934 1790 737 1791 739 1791 932 1791 750 1792 737 1792 932 1792 933 1793 932 1793 935 1793 732 1794 936 1794 934 1794 937 1795 934 1795 936 1795 740 1796 732 1796 934 1796 739 1797 740 1797 934 1797 935 1798 934 1798 937 1798 725 1799 898 1799 936 1799 938 1800 936 1800 898 1800 724 1801 725 1801 936 1801 723 1802 724 1802 936 1802 867 1803 723 1803 936 1803 867 1804 936 1804 732 1804 937 1805 936 1805 938 1805 810 1806 939 1806 898 1806 940 1807 898 1807 939 1807 941 1808 898 1808 725 1808 808 1809 810 1809 898 1809 807 1810 808 1810 898 1810 881 1811 807 1811 898 1811 942 1812 881 1812 898 1812 943 1813 942 1813 898 1813 895 1814 943 1814 898 1814 941 1815 899 1815 898 1815 938 1816 898 1816 940 1816 794 1817 944 1817 939 1817 945 1818 939 1818 944 1818 793 1819 939 1819 789 1819 946 1820 789 1820 939 1820 793 1821 794 1821 939 1821 810 1822 811 1822 939 1822 880 1823 939 1823 811 1823 880 1824 946 1824 939 1824 945 1825 940 1825 939 1825 797 1826 947 1826 944 1826 948 1827 944 1827 947 1827 794 1828 797 1828 944 1828 945 1829 944 1829 948 1829 786 1830 949 1830 947 1830 950 1831 947 1831 949 1831 784 1832 786 1832 947 1832 797 1833 784 1833 947 1833 948 1834 947 1834 950 1834 779 1835 923 1835 949 1835 951 1836 949 1836 923 1836 787 1837 779 1837 949 1837 786 1838 787 1838 949 1838 950 1839 949 1839 951 1839 771 1840 772 1840 923 1840 770 1841 771 1841 923 1841 842 1842 770 1842 923 1842 842 1843 923 1843 779 1843 951 1844 923 1844 924 1844 952 1845 722 1845 721 1845 867 1846 721 1846 723 1846 867 1847 952 1847 721 1847 952 1848 726 1848 722 1848 952 1849 725 1849 726 1849 952 1850 941 1850 725 1850 867 1851 732 1851 730 1851 868 1852 730 1852 735 1852 867 1853 730 1853 868 1853 953 1854 735 1854 737 1854 750 1855 752 1855 737 1855 954 1856 737 1856 752 1856 954 1857 953 1857 737 1857 953 1858 868 1858 735 1858 931 1859 744 1859 742 1859 931 1860 752 1860 744 1860 931 1861 954 1861 752 1861 855 1862 759 1862 757 1862 925 1863 757 1863 760 1863 925 1864 855 1864 757 1864 855 1865 764 1865 759 1865 955 1866 769 1866 768 1866 842 1867 768 1867 770 1867 842 1868 955 1868 768 1868 955 1869 773 1869 769 1869 955 1870 772 1870 773 1870 955 1871 926 1871 772 1871 842 1872 779 1872 777 1872 843 1873 777 1873 782 1873 842 1874 777 1874 843 1874 956 1875 782 1875 784 1875 797 1876 799 1876 784 1876 957 1877 784 1877 799 1877 957 1878 956 1878 784 1878 956 1879 843 1879 782 1879 946 1880 791 1880 789 1880 946 1881 799 1881 791 1881 946 1882 957 1882 799 1882 880 1883 806 1883 804 1883 881 1884 804 1884 807 1884 880 1885 804 1885 881 1885 880 1886 811 1886 806 1886 958 1887 843 1887 956 1887 959 1888 840 1888 843 1888 958 1889 959 1889 843 1889 960 1890 961 1890 956 1890 962 1891 956 1891 961 1891 957 1892 960 1892 956 1892 963 1893 958 1893 956 1893 890 1894 956 1894 962 1894 963 1895 956 1895 890 1895 964 1896 965 1896 961 1896 966 1897 961 1897 965 1897 960 1898 964 1898 961 1898 966 1899 967 1899 961 1899 962 1900 961 1900 967 1900 968 1901 969 1901 965 1901 966 1902 965 1902 969 1902 964 1903 968 1903 965 1903 970 1904 971 1904 969 1904 972 1905 969 1905 971 1905 968 1906 970 1906 969 1906 972 1907 966 1907 969 1907 973 1908 917 1908 971 1908 974 1909 971 1909 917 1909 970 1910 973 1910 971 1910 972 1911 971 1911 974 1911 975 1912 917 1912 910 1912 973 1913 919 1913 917 1913 975 1914 974 1914 917 1914 976 1915 910 1915 915 1915 975 1916 910 1916 976 1916 977 1917 915 1917 916 1917 977 1918 976 1918 915 1918 978 1919 916 1919 913 1919 979 1920 916 1920 978 1920 977 1921 916 1921 979 1921 978 1922 913 1922 926 1922 845 1923 926 1923 955 1923 980 1924 978 1924 926 1924 980 1925 926 1925 845 1925 981 1926 955 1926 842 1926 982 1927 955 1927 981 1927 982 1928 845 1928 955 1928 983 1929 842 1929 844 1929 983 1930 981 1930 842 1930 984 1931 881 1931 942 1931 985 1932 879 1932 881 1932 984 1933 985 1933 881 1933 986 1934 942 1934 943 1934 987 1935 984 1935 942 1935 878 1936 942 1936 986 1936 987 1937 942 1937 878 1937 988 1938 943 1938 895 1938 988 1939 989 1939 943 1939 986 1940 943 1940 989 1940 988 1941 895 1941 920 1941 990 1942 920 1942 919 1942 990 1943 988 1943 920 1943 991 1944 919 1944 973 1944 990 1945 919 1945 991 1945 992 1946 973 1946 970 1946 992 1947 991 1947 973 1947 993 1948 970 1948 968 1948 992 1949 970 1949 993 1949 994 1950 968 1950 964 1950 994 1951 993 1951 968 1951 995 1952 964 1952 960 1952 996 1953 964 1953 995 1953 994 1954 964 1954 996 1954 995 1955 960 1955 957 1955 883 1956 957 1956 946 1956 997 1957 995 1957 957 1957 997 1958 957 1958 883 1958 998 1959 946 1959 880 1959 999 1960 946 1960 998 1960 999 1961 883 1961 946 1961 1000 1962 880 1962 882 1962 1000 1963 998 1963 880 1963 1001 1964 868 1964 953 1964 1002 1965 866 1965 868 1965 1001 1966 1002 1966 868 1966 1003 1967 1004 1967 953 1967 1005 1968 953 1968 1004 1968 954 1969 1003 1969 953 1969 1006 1970 1001 1970 953 1970 865 1971 953 1971 1005 1971 1006 1972 953 1972 865 1972 1007 1973 1008 1973 1004 1973 1009 1974 1004 1974 1008 1974 1007 1975 1004 1975 1003 1975 1009 1976 1010 1976 1004 1976 1005 1977 1004 1977 1010 1977 1011 1978 1012 1978 1008 1978 1009 1979 1008 1979 1012 1979 1007 1980 1011 1980 1008 1980 1013 1981 1014 1981 1012 1981 1015 1982 1012 1982 1014 1982 1011 1983 1013 1983 1012 1983 1015 1984 1009 1984 1012 1984 1016 1985 902 1985 1014 1985 1017 1986 1014 1986 902 1986 1013 1987 1016 1987 1014 1987 1015 1988 1014 1988 1017 1988 1018 1989 902 1989 891 1989 1016 1990 908 1990 902 1990 1018 1991 1017 1991 902 1991 1019 1992 891 1992 900 1992 1018 1993 891 1993 1019 1993 1020 1994 900 1994 901 1994 1020 1995 1019 1995 900 1995 1021 1996 901 1996 899 1996 1022 1997 901 1997 1021 1997 1020 1998 901 1998 1022 1998 1021 1999 899 1999 941 1999 870 2000 941 2000 952 2000 1023 2001 1021 2001 941 2001 1023 2002 941 2002 870 2002 1024 2003 952 2003 867 2003 1025 2004 952 2004 1024 2004 1025 2005 870 2005 952 2005 1026 2006 867 2006 869 2006 1026 2007 1024 2007 867 2007 1027 2008 1003 2008 954 2008 1027 2009 1007 2009 1003 2009 857 2010 954 2010 931 2010 1028 2011 1027 2011 954 2011 1028 2012 954 2012 857 2012 1029 2013 931 2013 855 2013 1030 2014 931 2014 1029 2014 1030 2015 857 2015 931 2015 854 2016 855 2016 925 2016 1031 2017 1029 2017 855 2017 856 2018 1031 2018 855 2018 1032 2019 925 2019 927 2019 1033 2020 854 2020 925 2020 1032 2021 1033 2021 925 2021 1034 2022 927 2022 928 2022 1035 2023 1032 2023 927 2023 853 2024 927 2024 1034 2024 1035 2025 927 2025 853 2025 1036 2026 928 2026 905 2026 1036 2027 1037 2027 928 2027 1034 2028 928 2028 1037 2028 1036 2029 905 2029 909 2029 1038 2030 909 2030 908 2030 1038 2031 1036 2031 909 2031 1039 2032 908 2032 1016 2032 1038 2033 908 2033 1039 2033 1040 2034 1016 2034 1013 2034 1040 2035 1039 2035 1016 2035 1041 2036 1013 2036 1011 2036 1040 2037 1013 2037 1041 2037 1042 2038 1011 2038 1007 2038 1042 2039 1041 2039 1011 2039 1043 2040 1007 2040 1027 2040 1042 2041 1007 2041 1043 2041 940 2042 643 2042 655 2042 945 2043 646 2043 643 2043 945 2044 643 2044 940 2044 937 2045 655 2045 664 2045 938 2046 940 2046 655 2046 937 2047 938 2047 655 2047 935 2048 664 2048 666 2048 935 2049 937 2049 664 2049 935 2050 666 2050 669 2050 933 2051 669 2051 677 2051 933 2052 935 2052 669 2052 930 2053 677 2053 685 2053 930 2054 933 2054 677 2054 922 2055 685 2055 694 2055 922 2056 930 2056 685 2056 951 2057 694 2057 703 2057 924 2058 922 2058 694 2058 951 2059 924 2059 694 2059 950 2060 703 2060 705 2060 950 2061 951 2061 703 2061 950 2062 705 2062 707 2062 948 2063 707 2063 646 2063 948 2064 950 2064 707 2064 945 2065 948 2065 646 2065 1018 2066 992 2066 993 2066 894 2067 1018 2067 993 2067 897 2068 993 2068 994 2068 897 2069 894 2069 993 2069 1044 2070 991 2070 992 2070 1045 2071 990 2071 991 2071 1046 2072 1045 2072 991 2072 1044 2073 1046 2073 991 2073 1018 2074 1019 2074 992 2074 1044 2075 992 2075 1019 2075 1047 2076 1019 2076 1020 2076 1047 2077 1044 2077 1019 2077 894 2078 1017 2078 1018 2078 904 2079 1015 2079 1017 2079 904 2080 1017 2080 894 2080 975 2081 1040 2081 1041 2081 912 2082 975 2082 1041 2082 907 2083 1041 2083 1042 2083 907 2084 912 2084 1041 2084 976 2085 1039 2085 1040 2085 977 2086 1039 2086 976 2086 1038 2087 1039 2087 977 2087 975 2088 976 2088 1040 2088 912 2089 974 2089 975 2089 918 2090 972 2090 974 2090 912 2091 918 2091 974 2091 849 2092 850 2092 847 2092 852 2093 847 2093 850 2093 852 2094 848 2094 847 2094 846 2095 983 2095 844 2095 841 2096 840 2096 959 2096 841 2097 959 2097 958 2097 841 2098 958 2098 963 2098 846 2099 981 2099 983 2099 846 2100 982 2100 981 2100 962 2101 887 2101 888 2101 889 2102 962 2102 888 2102 997 2103 885 2103 887 2103 883 2104 886 2104 885 2104 997 2105 883 2105 885 2105 996 2106 995 2106 887 2106 997 2107 887 2107 995 2107 897 2108 996 2108 887 2108 897 2109 887 2109 967 2109 962 2110 967 2110 887 2110 884 2111 1000 2111 882 2111 876 2112 879 2112 985 2112 876 2113 985 2113 984 2113 876 2114 984 2114 987 2114 884 2115 998 2115 1000 2115 884 2116 999 2116 998 2116 874 2117 875 2117 872 2117 877 2118 872 2118 875 2118 873 2119 872 2119 877 2119 871 2120 1026 2120 869 2120 863 2121 866 2121 1002 2121 863 2122 1002 2122 1001 2122 863 2123 1001 2123 1006 2123 871 2124 1024 2124 1026 2124 871 2125 1025 2125 1024 2125 1005 2126 861 2126 862 2126 864 2127 1005 2127 862 2127 1028 2128 859 2128 861 2128 857 2129 860 2129 859 2129 1028 2130 857 2130 859 2130 1043 2131 1027 2131 861 2131 1028 2132 861 2132 1027 2132 907 2133 1043 2133 861 2133 907 2134 861 2134 1010 2134 1005 2135 1010 2135 861 2135 851 2136 854 2136 1033 2136 851 2137 1033 2137 1032 2137 851 2138 1032 2138 1035 2138 858 2139 1029 2139 1031 2139 858 2140 1030 2140 1029 2140 858 2141 1031 2141 856 2141 907 2142 1042 2142 1043 2142 907 2143 1010 2143 1009 2143 907 2144 1009 2144 1015 2144 1036 2145 979 2145 978 2145 1036 2146 978 2146 1037 2146 980 2147 1037 2147 978 2147 1038 2148 979 2148 1036 2148 1038 2149 977 2149 979 2149 1034 2150 1037 2150 980 2150 897 2151 994 2151 996 2151 897 2152 967 2152 966 2152 897 2153 966 2153 972 2153 988 2154 1022 2154 1021 2154 988 2155 1021 2155 989 2155 1023 2156 989 2156 1021 2156 990 2157 1022 2157 988 2157 1048 2158 1020 2158 1022 2158 1049 2159 1022 2159 990 2159 1049 2160 1048 2160 1022 2160 1023 2161 986 2161 989 2161 904 2162 907 2162 1015 2162 1048 2163 1050 2163 1020 2163 1047 2164 1020 2164 1050 2164 1051 2165 1049 2165 990 2165 1045 2166 1051 2166 990 2166 918 2167 897 2167 972 2167 818 2168 813 2168 812 2168 817 2169 818 2169 812 2169 814 2170 817 2170 812 2170 814 2171 815 2171 817 2171 825 2172 820 2172 819 2172 824 2173 825 2173 819 2173 821 2174 824 2174 819 2174 821 2175 822 2175 824 2175 832 2176 827 2176 826 2176 831 2177 832 2177 826 2177 828 2178 831 2178 826 2178 828 2179 829 2179 831 2179 839 2180 834 2180 833 2180 838 2181 839 2181 833 2181 835 2182 838 2182 833 2182 835 2183 836 2183 838 2183 1052 2184 1050 2184 1048 2184 1053 2185 1047 2185 1050 2185 1053 2186 1050 2186 1052 2186 1054 2187 1048 2187 1049 2187 1054 2188 1052 2188 1048 2188 1055 2189 1049 2189 1051 2189 1054 2190 1049 2190 1055 2190 1056 2191 1051 2191 1045 2191 1055 2192 1051 2192 1056 2192 1057 2193 1045 2193 1046 2193 1056 2194 1045 2194 1057 2194 1058 2195 1046 2195 1044 2195 1057 2196 1046 2196 1058 2196 1059 2197 1044 2197 1047 2197 1058 2198 1044 2198 1059 2198 1059 2199 1047 2199 1053 2199 853 2200 845 2200 848 2200 852 2201 853 2201 848 2201 1034 2202 980 2202 845 2202 853 2203 1034 2203 845 2203 846 2204 845 2204 982 2204 889 2205 890 2205 962 2205 841 2206 963 2206 890 2206 884 2207 883 2207 999 2207 870 2208 878 2208 986 2208 1023 2209 870 2209 986 2209 873 2210 877 2210 878 2210 870 2211 873 2211 878 2211 876 2212 987 2212 878 2212 871 2213 870 2213 1025 2213 864 2214 865 2214 1005 2214 863 2215 1006 2215 865 2215 858 2216 857 2216 1030 2216 851 2217 1035 2217 853 2217 1058 2218 1053 2218 1052 2218 1057 2219 1058 2219 1052 2219 1054 2220 1057 2220 1052 2220 1058 2221 1059 2221 1053 2221 1054 2222 1056 2222 1057 2222 1054 2223 1055 2223 1056 2223 1060 2224 1061 2224 1062 2224 1063 2225 1062 2225 1061 2225 1064 2226 1062 2226 1065 2226 1066 2227 1065 2227 1062 2227 1067 2228 1060 2228 1062 2228 1067 2229 1062 2229 1064 2229 1066 2230 1062 2230 1063 2230 1068 2231 1069 2231 1061 2231 1070 2232 1061 2232 1069 2232 1071 2233 1061 2233 1060 2233 1072 2234 1068 2234 1061 2234 1071 2235 1072 2235 1061 2235 1070 2236 1063 2236 1061 2236 1073 2237 1074 2237 1069 2237 1075 2238 1069 2238 1074 2238 1076 2239 1069 2239 1068 2239 1076 2240 1073 2240 1069 2240 1075 2241 1070 2241 1069 2241 1073 2242 1077 2242 1074 2242 1078 2243 1074 2243 1077 2243 1078 2244 1075 2244 1074 2244 1079 2245 1080 2245 1077 2245 1081 2246 1077 2246 1080 2246 1082 2247 1083 2247 1077 2247 1084 2248 1077 2248 1083 2248 1085 2249 1077 2249 1073 2249 1086 2250 1082 2250 1077 2250 1085 2251 1086 2251 1077 2251 1084 2252 1079 2252 1077 2252 1081 2253 1078 2253 1077 2253 1087 2254 1088 2254 1080 2254 1089 2255 1080 2255 1088 2255 1090 2256 1091 2256 1080 2256 1092 2257 1080 2257 1091 2257 1093 2258 1080 2258 1079 2258 1093 2259 1090 2259 1080 2259 1094 2260 1087 2260 1080 2260 1092 2261 1094 2261 1080 2261 1089 2262 1081 2262 1080 2262 1095 2263 1096 2263 1088 2263 1097 2264 1088 2264 1096 2264 1098 2265 1095 2265 1088 2265 1098 2266 1088 2266 1087 2266 1097 2267 1089 2267 1088 2267 1099 2268 1100 2268 1096 2268 1101 2269 1096 2269 1100 2269 1102 2270 1096 2270 1095 2270 1103 2271 1099 2271 1096 2271 1102 2272 1103 2272 1096 2272 1101 2273 1097 2273 1096 2273 1104 2274 1105 2274 1100 2274 1106 2275 1100 2275 1105 2275 1107 2276 1100 2276 1099 2276 1107 2277 1104 2277 1100 2277 1106 2278 1101 2278 1100 2278 1104 2279 1108 2279 1105 2279 1109 2280 1105 2280 1108 2280 1109 2281 1106 2281 1105 2281 1110 2282 1065 2282 1108 2282 1111 2283 1108 2283 1065 2283 1112 2284 1113 2284 1108 2284 1114 2285 1108 2285 1113 2285 1115 2286 1108 2286 1104 2286 1116 2287 1112 2287 1108 2287 1115 2288 1116 2288 1108 2288 1114 2289 1110 2289 1108 2289 1111 2290 1109 2290 1108 2290 1117 2291 1065 2291 1118 2291 1119 2292 1118 2292 1065 2292 1120 2293 1064 2293 1065 2293 1117 2294 1120 2294 1065 2294 1121 2295 1065 2295 1110 2295 1121 2296 1119 2296 1065 2296 1066 2297 1111 2297 1065 2297 1117 2298 1118 2298 1122 2298 1123 2299 1122 2299 1118 2299 1124 2300 1122 2300 1060 2300 1125 2301 1060 2301 1122 2301 1124 2302 1117 2302 1122 2302 1123 2303 1125 2303 1122 2303 1126 2304 1127 2304 1118 2304 1128 2305 1118 2305 1127 2305 1119 2306 1126 2306 1118 2306 1129 2307 1123 2307 1118 2307 1128 2308 1129 2308 1118 2308 1114 2309 1113 2309 1127 2309 1128 2310 1127 2310 1113 2310 1130 2311 1114 2311 1127 2311 1126 2312 1130 2312 1127 2312 1131 2313 1132 2313 1113 2313 1133 2314 1113 2314 1132 2314 1112 2315 1131 2315 1113 2315 1133 2316 1128 2316 1113 2316 1134 2317 1095 2317 1132 2317 1135 2318 1132 2318 1095 2318 1136 2319 1134 2319 1132 2319 1131 2320 1136 2320 1132 2320 1135 2321 1133 2321 1132 2321 1137 2322 1138 2322 1095 2322 1139 2323 1095 2323 1138 2323 1140 2324 1137 2324 1095 2324 1098 2325 1140 2325 1095 2325 1134 2326 1102 2326 1095 2326 1139 2327 1135 2327 1095 2327 1092 2328 1091 2328 1138 2328 1141 2329 1138 2329 1091 2329 1137 2330 1092 2330 1138 2330 1139 2331 1138 2331 1141 2331 1142 2332 1143 2332 1091 2332 1144 2333 1091 2333 1143 2333 1090 2334 1142 2334 1091 2334 1145 2335 1141 2335 1091 2335 1144 2336 1145 2336 1091 2336 1084 2337 1083 2337 1143 2337 1144 2338 1143 2338 1083 2338 1146 2339 1084 2339 1143 2339 1142 2340 1146 2340 1143 2340 1147 2341 1148 2341 1083 2341 1149 2342 1083 2342 1148 2342 1082 2343 1147 2343 1083 2343 1149 2344 1144 2344 1083 2344 1150 2345 1060 2345 1148 2345 1151 2346 1148 2346 1060 2346 1152 2347 1150 2347 1148 2347 1147 2348 1152 2348 1148 2348 1151 2349 1149 2349 1148 2349 1153 2350 1124 2350 1060 2350 1067 2351 1153 2351 1060 2351 1150 2352 1071 2352 1060 2352 1125 2353 1151 2353 1060 2353 1154 2354 1064 2354 1120 2354 1155 2355 1067 2355 1064 2355 1155 2356 1064 2356 1154 2356 1156 2357 1120 2357 1117 2357 1156 2358 1154 2358 1120 2358 1157 2359 1117 2359 1124 2359 1156 2360 1117 2360 1157 2360 1158 2361 1124 2361 1153 2361 1157 2362 1124 2362 1158 2362 1159 2363 1153 2363 1067 2363 1158 2364 1153 2364 1159 2364 1159 2365 1067 2365 1155 2365 1160 2366 1068 2366 1072 2366 1161 2367 1068 2367 1147 2367 1162 2368 1147 2368 1068 2368 1161 2369 1076 2369 1068 2369 1162 2370 1068 2370 1160 2370 1163 2371 1072 2371 1071 2371 1163 2372 1160 2372 1072 2372 1164 2373 1071 2373 1150 2373 1163 2374 1071 2374 1164 2374 1165 2375 1150 2375 1152 2375 1164 2376 1150 2376 1165 2376 1166 2377 1152 2377 1147 2377 1165 2378 1152 2378 1166 2378 1082 2379 1161 2379 1147 2379 1166 2380 1147 2380 1162 2380 1167 2381 1073 2381 1076 2381 1168 2382 1085 2382 1073 2382 1168 2383 1073 2383 1167 2383 1169 2384 1076 2384 1161 2384 1169 2385 1167 2385 1076 2385 1170 2386 1161 2386 1082 2386 1169 2387 1161 2387 1170 2387 1171 2388 1082 2388 1086 2388 1170 2389 1082 2389 1171 2389 1172 2390 1086 2390 1085 2390 1171 2391 1086 2391 1172 2391 1172 2392 1085 2392 1168 2392 1173 2393 1079 2393 1084 2393 1174 2394 1093 2394 1079 2394 1174 2395 1079 2395 1173 2395 1175 2396 1084 2396 1146 2396 1175 2397 1173 2397 1084 2397 1176 2398 1146 2398 1142 2398 1175 2399 1146 2399 1176 2399 1177 2400 1142 2400 1090 2400 1176 2401 1142 2401 1177 2401 1178 2402 1090 2402 1093 2402 1177 2403 1090 2403 1178 2403 1178 2404 1093 2404 1174 2404 1179 2405 1087 2405 1094 2405 1180 2406 1098 2406 1087 2406 1180 2407 1087 2407 1179 2407 1181 2408 1094 2408 1092 2408 1181 2409 1179 2409 1094 2409 1182 2410 1092 2410 1137 2410 1181 2411 1092 2411 1182 2411 1183 2412 1137 2412 1140 2412 1182 2413 1137 2413 1183 2413 1184 2414 1140 2414 1098 2414 1183 2415 1140 2415 1184 2415 1184 2416 1098 2416 1180 2416 1185 2417 1099 2417 1103 2417 1186 2418 1099 2418 1131 2418 1187 2419 1131 2419 1099 2419 1186 2420 1107 2420 1099 2420 1187 2421 1099 2421 1185 2421 1188 2422 1103 2422 1102 2422 1188 2423 1185 2423 1103 2423 1189 2424 1102 2424 1134 2424 1188 2425 1102 2425 1189 2425 1190 2426 1134 2426 1136 2426 1189 2427 1134 2427 1190 2427 1191 2428 1136 2428 1131 2428 1190 2429 1136 2429 1191 2429 1112 2430 1186 2430 1131 2430 1191 2431 1131 2431 1187 2431 1192 2432 1104 2432 1107 2432 1193 2433 1115 2433 1104 2433 1193 2434 1104 2434 1192 2434 1194 2435 1107 2435 1186 2435 1194 2436 1192 2436 1107 2436 1195 2437 1186 2437 1112 2437 1194 2438 1186 2438 1195 2438 1196 2439 1112 2439 1116 2439 1195 2440 1112 2440 1196 2440 1197 2441 1116 2441 1115 2441 1196 2442 1116 2442 1197 2442 1197 2443 1115 2443 1193 2443 1198 2444 1110 2444 1114 2444 1199 2445 1121 2445 1110 2445 1199 2446 1110 2446 1198 2446 1200 2447 1114 2447 1130 2447 1200 2448 1198 2448 1114 2448 1201 2449 1130 2449 1126 2449 1200 2450 1130 2450 1201 2450 1202 2451 1126 2451 1119 2451 1201 2452 1126 2452 1202 2452 1203 2453 1119 2453 1121 2453 1202 2454 1119 2454 1203 2454 1203 2455 1121 2455 1199 2455 1204 2456 1155 2456 1154 2456 1205 2457 1154 2457 1156 2457 1204 2458 1154 2458 1205 2458 1204 2459 1159 2459 1155 2459 1206 2460 1158 2460 1159 2460 1207 2461 1159 2461 1204 2461 1207 2462 1206 2462 1159 2462 1208 2463 1157 2463 1158 2463 1208 2464 1158 2464 1206 2464 1208 2465 1156 2465 1157 2465 1208 2466 1205 2466 1156 2466 1209 2467 1162 2467 1160 2467 1209 2468 1160 2468 1163 2468 1210 2469 1166 2469 1162 2469 1209 2470 1211 2470 1162 2470 1210 2471 1162 2471 1211 2471 1210 2472 1165 2472 1166 2472 1207 2473 1164 2473 1165 2473 1210 2474 1207 2474 1165 2474 1204 2475 1163 2475 1164 2475 1207 2476 1204 2476 1164 2476 1204 2477 1209 2477 1163 2477 1212 2478 1168 2478 1167 2478 1213 2479 1167 2479 1169 2479 1213 2480 1212 2480 1167 2480 1212 2481 1172 2481 1168 2481 1212 2482 1171 2482 1172 2482 1211 2483 1170 2483 1171 2483 1212 2484 1214 2484 1171 2484 1215 2485 1171 2485 1214 2485 1215 2486 1211 2486 1171 2486 1211 2487 1169 2487 1170 2487 1211 2488 1213 2488 1169 2488 1216 2489 1174 2489 1173 2489 1214 2490 1173 2490 1175 2490 1214 2491 1216 2491 1173 2491 1216 2492 1178 2492 1174 2492 1216 2493 1177 2493 1178 2493 1217 2494 1176 2494 1177 2494 1218 2495 1177 2495 1216 2495 1218 2496 1217 2496 1177 2496 1217 2497 1175 2497 1176 2497 1217 2498 1214 2498 1175 2498 1219 2499 1180 2499 1179 2499 1220 2500 1179 2500 1181 2500 1220 2501 1219 2501 1179 2501 1219 2502 1184 2502 1180 2502 1221 2503 1183 2503 1184 2503 1222 2504 1184 2504 1219 2504 1222 2505 1221 2505 1184 2505 1218 2506 1182 2506 1183 2506 1221 2507 1218 2507 1183 2507 1218 2508 1181 2508 1182 2508 1218 2509 1220 2509 1181 2509 1223 2510 1187 2510 1185 2510 1223 2511 1185 2511 1188 2511 1224 2512 1191 2512 1187 2512 1223 2513 1225 2513 1187 2513 1224 2514 1187 2514 1225 2514 1224 2515 1190 2515 1191 2515 1222 2516 1189 2516 1190 2516 1224 2517 1222 2517 1190 2517 1219 2518 1188 2518 1189 2518 1222 2519 1219 2519 1189 2519 1219 2520 1223 2520 1188 2520 1226 2521 1193 2521 1192 2521 1227 2522 1192 2522 1194 2522 1227 2523 1226 2523 1192 2523 1226 2524 1197 2524 1193 2524 1226 2525 1196 2525 1197 2525 1225 2526 1195 2526 1196 2526 1226 2527 1228 2527 1196 2527 1229 2528 1196 2528 1228 2528 1229 2529 1225 2529 1196 2529 1225 2530 1194 2530 1195 2530 1225 2531 1227 2531 1194 2531 1230 2532 1199 2532 1198 2532 1228 2533 1198 2533 1200 2533 1228 2534 1230 2534 1198 2534 1230 2535 1203 2535 1199 2535 1230 2536 1202 2536 1203 2536 1231 2537 1201 2537 1202 2537 1208 2538 1202 2538 1230 2538 1208 2539 1231 2539 1202 2539 1231 2540 1200 2540 1201 2540 1231 2541 1228 2541 1200 2541 1208 2542 1230 2542 1205 2542 1232 2543 1205 2543 1230 2543 1233 2544 1204 2544 1205 2544 1233 2545 1205 2545 1232 2545 1234 2546 1230 2546 1228 2546 1232 2547 1230 2547 1234 2547 1234 2548 1228 2548 1226 2548 1231 2549 1229 2549 1228 2549 1235 2550 1226 2550 1227 2550 1234 2551 1226 2551 1235 2551 1236 2552 1227 2552 1225 2552 1235 2553 1227 2553 1236 2553 1237 2554 1225 2554 1223 2554 1229 2555 1224 2555 1225 2555 1236 2556 1225 2556 1237 2556 1237 2557 1223 2557 1219 2557 1238 2558 1219 2558 1220 2558 1237 2559 1219 2559 1238 2559 1218 2560 1216 2560 1220 2560 1239 2561 1220 2561 1216 2561 1238 2562 1220 2562 1239 2562 1240 2563 1216 2563 1214 2563 1240 2564 1239 2564 1216 2564 1240 2565 1214 2565 1212 2565 1217 2566 1215 2566 1214 2566 1241 2567 1212 2567 1213 2567 1240 2568 1212 2568 1241 2568 1242 2569 1213 2569 1211 2569 1241 2570 1213 2570 1242 2570 1243 2571 1211 2571 1209 2571 1215 2572 1210 2572 1211 2572 1242 2573 1211 2573 1243 2573 1243 2574 1209 2574 1204 2574 1243 2575 1204 2575 1233 2575 1123 2576 1206 2576 1207 2576 1129 2577 1208 2577 1206 2577 1129 2578 1206 2578 1123 2578 1151 2579 1207 2579 1210 2579 1125 2580 1207 2580 1151 2580 1123 2581 1207 2581 1125 2581 1151 2582 1210 2582 1215 2582 1149 2583 1215 2583 1217 2583 1151 2584 1215 2584 1149 2584 1144 2585 1217 2585 1218 2585 1149 2586 1217 2586 1144 2586 1145 2587 1218 2587 1221 2587 1144 2588 1218 2588 1145 2588 1141 2589 1221 2589 1222 2589 1145 2590 1221 2590 1141 2590 1135 2591 1222 2591 1224 2591 1139 2592 1141 2592 1222 2592 1139 2593 1222 2593 1135 2593 1135 2594 1224 2594 1229 2594 1133 2595 1229 2595 1231 2595 1135 2596 1229 2596 1133 2596 1128 2597 1231 2597 1208 2597 1133 2598 1231 2598 1128 2598 1128 2599 1208 2599 1129 2599 1244 2600 1063 2600 1070 2600 1245 2601 1066 2601 1063 2601 1245 2602 1063 2602 1244 2602 1246 2603 1070 2603 1075 2603 1247 2604 1244 2604 1070 2604 1246 2605 1247 2605 1070 2605 1248 2606 1075 2606 1078 2606 1248 2607 1246 2607 1075 2607 1248 2608 1078 2608 1081 2608 1249 2609 1081 2609 1089 2609 1249 2610 1248 2610 1081 2610 1250 2611 1089 2611 1097 2611 1250 2612 1249 2612 1089 2612 1251 2613 1097 2613 1101 2613 1251 2614 1250 2614 1097 2614 1252 2615 1101 2615 1106 2615 1253 2616 1251 2616 1101 2616 1252 2617 1253 2617 1101 2617 1254 2618 1106 2618 1109 2618 1254 2619 1252 2619 1106 2619 1254 2620 1109 2620 1111 2620 1255 2621 1111 2621 1066 2621 1255 2622 1254 2622 1111 2622 1245 2623 1255 2623 1066 2623 1232 2624 1244 2624 1247 2624 1234 2625 1245 2625 1244 2625 1232 2626 1234 2626 1244 2626 1243 2627 1247 2627 1246 2627 1233 2628 1232 2628 1247 2628 1243 2629 1233 2629 1247 2629 1243 2630 1246 2630 1248 2630 1242 2631 1248 2631 1249 2631 1242 2632 1243 2632 1248 2632 1241 2633 1249 2633 1250 2633 1241 2634 1242 2634 1249 2634 1240 2635 1250 2635 1251 2635 1240 2636 1241 2636 1250 2636 1239 2637 1251 2637 1253 2637 1240 2638 1251 2638 1239 2638 1237 2639 1253 2639 1252 2639 1238 2640 1239 2640 1253 2640 1237 2641 1238 2641 1253 2641 1237 2642 1252 2642 1254 2642 1236 2643 1254 2643 1255 2643 1236 2644 1237 2644 1254 2644 1235 2645 1255 2645 1245 2645 1235 2646 1236 2646 1255 2646 1234 2647 1235 2647 1245 2647 1256 2648 1257 2648 1258 2648 1259 2649 1258 2649 1257 2649 1260 2650 1256 2650 1258 2650 1261 2651 1260 2651 1258 2651 1262 2652 1261 2652 1258 2652 1262 2653 1258 2653 1263 2653 1264 2654 1263 2654 1258 2654 1264 2655 1258 2655 1259 2655 1265 2656 1266 2656 1257 2656 1267 2657 1257 2657 1266 2657 1268 2658 1265 2658 1257 2658 1269 2659 1268 2659 1257 2659 1270 2660 1269 2660 1257 2660 1271 2661 1270 2661 1257 2661 1256 2662 1271 2662 1257 2662 1259 2663 1257 2663 1267 2663 1272 2664 1266 2664 1265 2664 1267 2665 1266 2665 1273 2665 1274 2666 1273 2666 1266 2666 1272 2667 1274 2667 1266 2667 1275 2668 1265 2668 1268 2668 1275 2669 1272 2669 1265 2669 1276 2670 1268 2670 1269 2670 1276 2671 1275 2671 1268 2671 1276 2672 1269 2672 1270 2672 1277 2673 1270 2673 1271 2673 1277 2674 1276 2674 1270 2674 1278 2675 1271 2675 1256 2675 1278 2676 1277 2676 1271 2676 1279 2677 1256 2677 1260 2677 1278 2678 1256 2678 1279 2678 1280 2679 1260 2679 1261 2679 1279 2680 1260 2680 1280 2680 1281 2681 1261 2681 1262 2681 1282 2682 1261 2682 1281 2682 1283 2683 1261 2683 1282 2683 1280 2684 1261 2684 1283 2684 1284 2685 1285 2685 1286 2685 1287 2686 1286 2686 1285 2686 1288 2687 1286 2687 1289 2687 1290 2688 1289 2688 1286 2688 1284 2689 1286 2689 1291 2689 1292 2690 1291 2690 1286 2690 1288 2691 1292 2691 1286 2691 1287 2692 1290 2692 1286 2692 1293 2693 1294 2693 1285 2693 1295 2694 1285 2694 1294 2694 1284 2695 1293 2695 1285 2695 1295 2696 1287 2696 1285 2696 1296 2697 1297 2697 1294 2697 1298 2698 1294 2698 1297 2698 1293 2699 1299 2699 1294 2699 1300 2700 1294 2700 1299 2700 1301 2701 1296 2701 1294 2701 1300 2702 1301 2702 1294 2702 1298 2703 1295 2703 1294 2703 1302 2704 1303 2704 1297 2704 1304 2705 1297 2705 1303 2705 1305 2706 1306 2706 1297 2706 1307 2707 1297 2707 1306 2707 1296 2708 1305 2708 1297 2708 1308 2709 1302 2709 1297 2709 1307 2710 1308 2710 1297 2710 1304 2711 1298 2711 1297 2711 1309 2712 1310 2712 1303 2712 1311 2713 1303 2713 1310 2713 1302 2714 1309 2714 1303 2714 1311 2715 1304 2715 1303 2715 1312 2716 1313 2716 1310 2716 1314 2717 1310 2717 1313 2717 1309 2718 1315 2718 1310 2718 1316 2719 1310 2719 1315 2719 1312 2720 1310 2720 1316 2720 1311 2721 1310 2721 1314 2721 1317 2722 1318 2722 1313 2722 1319 2723 1313 2723 1318 2723 1312 2724 1317 2724 1313 2724 1319 2725 1314 2725 1313 2725 1320 2726 1321 2726 1318 2726 1322 2727 1318 2727 1321 2727 1317 2728 1323 2728 1318 2728 1324 2729 1318 2729 1323 2729 1325 2730 1320 2730 1318 2730 1324 2731 1325 2731 1318 2731 1322 2732 1319 2732 1318 2732 1326 2733 1289 2733 1321 2733 1327 2734 1321 2734 1289 2734 1328 2735 1329 2735 1321 2735 1330 2736 1321 2736 1329 2736 1320 2737 1328 2737 1321 2737 1331 2738 1326 2738 1321 2738 1332 2739 1331 2739 1321 2739 1330 2740 1332 2740 1321 2740 1327 2741 1322 2741 1321 2741 1326 2742 1288 2742 1289 2742 1290 2743 1327 2743 1289 2743 1333 2744 1334 2744 1335 2744 1336 2745 1335 2745 1334 2745 1337 2746 1335 2746 1338 2746 1339 2747 1338 2747 1335 2747 1337 2748 1333 2748 1335 2748 1339 2749 1335 2749 1336 2749 1340 2750 1341 2750 1334 2750 1342 2751 1334 2751 1341 2751 1333 2752 1340 2752 1334 2752 1343 2753 1334 2753 1342 2753 1336 2754 1334 2754 1343 2754 1340 2755 1344 2755 1341 2755 1345 2756 1341 2756 1344 2756 1342 2757 1341 2757 1345 2757 1346 2758 1291 2758 1344 2758 1347 2759 1344 2759 1291 2759 1340 2760 1346 2760 1344 2760 1348 2761 1344 2761 1347 2761 1345 2762 1344 2762 1348 2762 1292 2763 1349 2763 1291 2763 1350 2764 1291 2764 1349 2764 1346 2765 1284 2765 1291 2765 1347 2766 1291 2766 1350 2766 1351 2767 1352 2767 1349 2767 1353 2768 1349 2768 1352 2768 1292 2769 1351 2769 1349 2769 1354 2770 1350 2770 1349 2770 1354 2771 1349 2771 1353 2771 1337 2772 1338 2772 1352 2772 1355 2773 1352 2773 1338 2773 1356 2774 1352 2774 1351 2774 1356 2775 1337 2775 1352 2775 1353 2776 1352 2776 1355 2776 1357 2777 1338 2777 1339 2777 1355 2778 1338 2778 1357 2778 1273 2779 1358 2779 1359 2779 1360 2780 1359 2780 1358 2780 1333 2781 1359 2781 1340 2781 1361 2782 1340 2782 1359 2782 1362 2783 1363 2783 1359 2783 1273 2784 1359 2784 1363 2784 1333 2785 1362 2785 1359 2785 1361 2786 1359 2786 1360 2786 1273 2787 1364 2787 1358 2787 1365 2788 1358 2788 1364 2788 1366 2789 1358 2789 1365 2789 1360 2790 1358 2790 1366 2790 1367 2791 1299 2791 1364 2791 1368 2792 1364 2792 1299 2792 1273 2793 1367 2793 1364 2793 1365 2794 1364 2794 1368 2794 1369 2795 1299 2795 1293 2795 1367 2796 1300 2796 1299 2796 1370 2797 1299 2797 1369 2797 1368 2798 1299 2798 1370 2798 1371 2799 1293 2799 1284 2799 1369 2800 1293 2800 1371 2800 1372 2801 1284 2801 1346 2801 1373 2802 1371 2802 1284 2802 1373 2803 1284 2803 1372 2803 1374 2804 1346 2804 1340 2804 1372 2805 1346 2805 1374 2805 1375 2806 1340 2806 1361 2806 1374 2807 1340 2807 1375 2807 1307 2808 1376 2808 1377 2808 1378 2809 1377 2809 1376 2809 1273 2810 1377 2810 1367 2810 1379 2811 1367 2811 1377 2811 1273 2812 1307 2812 1377 2812 1379 2813 1377 2813 1378 2813 1307 2814 1306 2814 1376 2814 1380 2815 1376 2815 1306 2815 1381 2816 1376 2816 1380 2816 1378 2817 1376 2817 1381 2817 1382 2818 1306 2818 1305 2818 1380 2819 1306 2819 1382 2819 1383 2820 1305 2820 1296 2820 1384 2821 1305 2821 1383 2821 1382 2822 1305 2822 1384 2822 1385 2823 1296 2823 1301 2823 1383 2824 1296 2824 1385 2824 1386 2825 1301 2825 1300 2825 1387 2826 1385 2826 1301 2826 1387 2827 1301 2827 1386 2827 1388 2828 1300 2828 1367 2828 1386 2829 1300 2829 1388 2829 1389 2830 1367 2830 1379 2830 1388 2831 1367 2831 1389 2831 1390 2832 1391 2832 1392 2832 1393 2833 1392 2833 1391 2833 1390 2834 1392 2834 1394 2834 1395 2835 1394 2835 1392 2835 1395 2836 1392 2836 1393 2836 1396 2837 1315 2837 1391 2837 1397 2838 1391 2838 1315 2838 1398 2839 1396 2839 1391 2839 1390 2840 1398 2840 1391 2840 1399 2841 1391 2841 1397 2841 1393 2842 1391 2842 1399 2842 1400 2843 1315 2843 1309 2843 1396 2844 1316 2844 1315 2844 1397 2845 1315 2845 1400 2845 1401 2846 1309 2846 1302 2846 1402 2847 1309 2847 1401 2847 1400 2848 1309 2848 1402 2848 1403 2849 1302 2849 1308 2849 1401 2850 1302 2850 1403 2850 1307 2851 1404 2851 1308 2851 1405 2852 1308 2852 1404 2852 1406 2853 1403 2853 1308 2853 1406 2854 1308 2854 1405 2854 1307 2855 1394 2855 1404 2855 1407 2856 1404 2856 1394 2856 1405 2857 1404 2857 1407 2857 1307 2858 1390 2858 1394 2858 1408 2859 1394 2859 1395 2859 1407 2860 1394 2860 1408 2860 1409 2861 1410 2861 1411 2861 1412 2862 1411 2862 1410 2862 1413 2863 1411 2863 1414 2863 1415 2864 1414 2864 1411 2864 1416 2865 1409 2865 1411 2865 1413 2866 1416 2866 1411 2866 1415 2867 1411 2867 1412 2867 1409 2868 1417 2868 1410 2868 1418 2869 1410 2869 1417 2869 1419 2870 1410 2870 1418 2870 1412 2871 1410 2871 1419 2871 1420 2872 1421 2872 1417 2872 1422 2873 1417 2873 1421 2873 1409 2874 1420 2874 1417 2874 1418 2875 1417 2875 1422 2875 1423 2876 1316 2876 1421 2876 1424 2877 1421 2877 1316 2877 1420 2878 1423 2878 1421 2878 1425 2879 1421 2879 1424 2879 1422 2880 1421 2880 1425 2880 1426 2881 1316 2881 1396 2881 1423 2882 1312 2882 1316 2882 1424 2883 1316 2883 1426 2883 1427 2884 1396 2884 1398 2884 1428 2885 1426 2885 1396 2885 1428 2886 1396 2886 1427 2886 1390 2887 1414 2887 1398 2887 1429 2888 1398 2888 1414 2888 1427 2889 1398 2889 1429 2889 1390 2890 1413 2890 1414 2890 1430 2891 1414 2891 1415 2891 1429 2892 1414 2892 1430 2892 1281 2893 1431 2893 1432 2893 1433 2894 1432 2894 1431 2894 1409 2895 1432 2895 1420 2895 1434 2896 1420 2896 1432 2896 1409 2897 1281 2897 1432 2897 1434 2898 1432 2898 1433 2898 1281 2899 1435 2899 1431 2899 1436 2900 1431 2900 1435 2900 1437 2901 1431 2901 1436 2901 1433 2902 1431 2902 1437 2902 1281 2903 1323 2903 1435 2903 1438 2904 1435 2904 1323 2904 1436 2905 1435 2905 1438 2905 1439 2906 1323 2906 1317 2906 1440 2907 1324 2907 1323 2907 1281 2908 1440 2908 1323 2908 1441 2909 1323 2909 1439 2909 1438 2910 1323 2910 1441 2910 1442 2911 1317 2911 1312 2911 1439 2912 1317 2912 1442 2912 1443 2913 1312 2913 1423 2913 1444 2914 1442 2914 1312 2914 1444 2915 1312 2915 1443 2915 1445 2916 1423 2916 1420 2916 1443 2917 1423 2917 1445 2917 1446 2918 1420 2918 1434 2918 1445 2919 1420 2919 1446 2919 1263 2920 1447 2920 1448 2920 1449 2921 1448 2921 1447 2921 1262 2922 1448 2922 1440 2922 1450 2923 1440 2923 1448 2923 1262 2924 1263 2924 1448 2924 1450 2925 1448 2925 1449 2925 1263 2926 1329 2926 1447 2926 1451 2927 1447 2927 1329 2927 1452 2928 1447 2928 1451 2928 1449 2929 1447 2929 1452 2929 1453 2930 1329 2930 1328 2930 1454 2931 1330 2931 1329 2931 1263 2932 1454 2932 1329 2932 1451 2933 1329 2933 1453 2933 1455 2934 1328 2934 1320 2934 1456 2935 1328 2935 1455 2935 1453 2936 1328 2936 1456 2936 1457 2937 1320 2937 1325 2937 1455 2938 1320 2938 1457 2938 1458 2939 1325 2939 1324 2939 1459 2940 1457 2940 1325 2940 1459 2941 1325 2941 1458 2941 1460 2942 1324 2942 1440 2942 1458 2943 1324 2943 1460 2943 1281 2944 1262 2944 1440 2944 1461 2945 1440 2945 1450 2945 1460 2946 1440 2946 1461 2946 1356 2947 1351 2947 1462 2947 1463 2948 1462 2948 1351 2948 1356 2949 1462 2949 1330 2949 1464 2950 1330 2950 1462 2950 1464 2951 1462 2951 1463 2951 1465 2952 1351 2952 1292 2952 1466 2953 1351 2953 1465 2953 1463 2954 1351 2954 1466 2954 1467 2955 1292 2955 1288 2955 1465 2956 1292 2956 1467 2956 1468 2957 1288 2957 1326 2957 1469 2958 1288 2958 1468 2958 1467 2959 1288 2959 1469 2959 1470 2960 1326 2960 1331 2960 1468 2961 1326 2961 1470 2961 1471 2962 1331 2962 1332 2962 1472 2963 1470 2963 1331 2963 1472 2964 1331 2964 1471 2964 1473 2965 1332 2965 1330 2965 1471 2966 1332 2966 1473 2966 1454 2967 1356 2967 1330 2967 1474 2968 1330 2968 1464 2968 1473 2969 1330 2969 1474 2969 1273 2970 1475 2970 1476 2970 1477 2971 1476 2971 1475 2971 1267 2972 1476 2972 1478 2972 1479 2973 1478 2973 1476 2973 1267 2974 1273 2974 1476 2974 1479 2975 1476 2975 1477 2975 1273 2976 1480 2976 1475 2976 1481 2977 1475 2977 1480 2977 1477 2978 1475 2978 1481 2978 1273 2979 1482 2979 1480 2979 1483 2980 1480 2980 1482 2980 1483 2981 1481 2981 1480 2981 1484 2982 1485 2982 1482 2982 1486 2983 1482 2983 1485 2983 1487 2984 1484 2984 1482 2984 1273 2985 1487 2985 1482 2985 1483 2986 1482 2986 1486 2986 1488 2987 1489 2987 1485 2987 1490 2988 1485 2988 1489 2988 1484 2989 1488 2989 1485 2989 1486 2990 1485 2990 1490 2990 1491 2991 1492 2991 1489 2991 1493 2992 1489 2992 1492 2992 1494 2993 1491 2993 1489 2993 1488 2994 1494 2994 1489 2994 1490 2995 1489 2995 1493 2995 1495 2996 1496 2996 1492 2996 1497 2997 1492 2997 1496 2997 1491 2998 1495 2998 1492 2998 1493 2999 1492 2999 1497 2999 1263 3000 1498 3000 1496 3000 1499 3001 1496 3001 1498 3001 1263 3002 1496 3002 1495 3002 1497 3003 1496 3003 1499 3003 1267 3004 1478 3004 1498 3004 1500 3005 1498 3005 1478 3005 1267 3006 1498 3006 1263 3006 1499 3007 1498 3007 1500 3007 1500 3008 1478 3008 1479 3008 1263 3009 1501 3009 1502 3009 1503 3010 1502 3010 1501 3010 1263 3011 1502 3011 1504 3011 1505 3012 1504 3012 1502 3012 1505 3013 1502 3013 1503 3013 1506 3014 1507 3014 1501 3014 1508 3015 1501 3015 1507 3015 1509 3016 1506 3016 1501 3016 1263 3017 1509 3017 1501 3017 1503 3018 1501 3018 1508 3018 1510 3019 1511 3019 1507 3019 1512 3020 1507 3020 1511 3020 1506 3021 1510 3021 1507 3021 1508 3022 1507 3022 1512 3022 1513 3023 1514 3023 1511 3023 1515 3024 1511 3024 1514 3024 1516 3025 1511 3025 1510 3025 1517 3026 1513 3026 1511 3026 1516 3027 1517 3027 1511 3027 1512 3028 1511 3028 1515 3028 1454 3029 1518 3029 1514 3029 1519 3030 1514 3030 1518 3030 1454 3031 1514 3031 1513 3031 1515 3032 1514 3032 1519 3032 1454 3033 1520 3033 1518 3033 1521 3034 1518 3034 1520 3034 1521 3035 1519 3035 1518 3035 1454 3036 1522 3036 1520 3036 1523 3037 1520 3037 1522 3037 1521 3038 1520 3038 1523 3038 1263 3039 1524 3039 1522 3039 1525 3040 1522 3040 1524 3040 1263 3041 1522 3041 1454 3041 1523 3042 1522 3042 1525 3042 1263 3043 1504 3043 1524 3043 1526 3044 1524 3044 1504 3044 1525 3045 1524 3045 1526 3045 1526 3046 1504 3046 1505 3046 1527 3047 1510 3047 1506 3047 1528 3048 1510 3048 1529 3048 1530 3049 1529 3049 1510 3049 1528 3050 1516 3050 1510 3050 1530 3051 1510 3051 1527 3051 1531 3052 1506 3052 1509 3052 1531 3053 1527 3053 1506 3053 1263 3054 1495 3054 1509 3054 1532 3055 1509 3055 1495 3055 1531 3056 1509 3056 1532 3056 1533 3057 1495 3057 1491 3057 1532 3058 1495 3058 1533 3058 1534 3059 1491 3059 1494 3059 1533 3060 1491 3060 1534 3060 1535 3061 1536 3061 1494 3061 1537 3062 1494 3062 1536 3062 1538 3063 1535 3063 1494 3063 1488 3064 1538 3064 1494 3064 1534 3065 1494 3065 1537 3065 1539 3066 1540 3066 1536 3066 1541 3067 1536 3067 1540 3067 1539 3068 1536 3068 1535 3068 1537 3069 1536 3069 1541 3069 1539 3070 1542 3070 1540 3070 1543 3071 1540 3071 1542 3071 1541 3072 1540 3072 1543 3072 1539 3073 1529 3073 1542 3073 1544 3074 1542 3074 1529 3074 1543 3075 1542 3075 1544 3075 1528 3076 1529 3076 1539 3076 1544 3077 1529 3077 1530 3077 1545 3078 1535 3078 1538 3078 1546 3079 1539 3079 1535 3079 1546 3080 1535 3080 1545 3080 1547 3081 1538 3081 1488 3081 1545 3082 1538 3082 1547 3082 1548 3083 1488 3083 1484 3083 1547 3084 1488 3084 1548 3084 1549 3085 1484 3085 1487 3085 1548 3086 1484 3086 1549 3086 1273 3087 1550 3087 1487 3087 1551 3088 1487 3088 1550 3088 1549 3089 1487 3089 1551 3089 1273 3090 1363 3090 1550 3090 1552 3091 1550 3091 1363 3091 1552 3092 1551 3092 1550 3092 1553 3093 1363 3093 1362 3093 1552 3094 1363 3094 1553 3094 1554 3095 1555 3095 1362 3095 1556 3096 1362 3096 1555 3096 1333 3097 1554 3097 1362 3097 1553 3098 1362 3098 1556 3098 1557 3099 1539 3099 1555 3099 1558 3100 1555 3100 1539 3100 1554 3101 1557 3101 1555 3101 1556 3102 1555 3102 1558 3102 1557 3103 1528 3103 1539 3103 1558 3104 1539 3104 1546 3104 1559 3105 1513 3105 1517 3105 1560 3106 1454 3106 1513 3106 1560 3107 1513 3107 1559 3107 1561 3108 1517 3108 1516 3108 1561 3109 1559 3109 1517 3109 1562 3110 1516 3110 1528 3110 1561 3111 1516 3111 1562 3111 1563 3112 1528 3112 1557 3112 1562 3113 1528 3113 1563 3113 1564 3114 1557 3114 1554 3114 1563 3115 1557 3115 1564 3115 1565 3116 1554 3116 1333 3116 1564 3117 1554 3117 1565 3117 1566 3118 1333 3118 1337 3118 1565 3119 1333 3119 1566 3119 1567 3120 1337 3120 1356 3120 1566 3121 1337 3121 1567 3121 1568 3122 1356 3122 1454 3122 1567 3123 1356 3123 1568 3123 1568 3124 1454 3124 1560 3124 1569 3125 1267 3125 1263 3125 1570 3126 1263 3126 1264 3126 1571 3127 1263 3127 1570 3127 1572 3128 1569 3128 1263 3128 1573 3129 1572 3129 1263 3129 1574 3130 1573 3130 1263 3130 1571 3131 1574 3131 1263 3131 1575 3132 1281 3132 1409 3132 1575 3133 1282 3133 1281 3133 1576 3134 1409 3134 1416 3134 1576 3135 1575 3135 1409 3135 1577 3136 1416 3136 1413 3136 1577 3137 1576 3137 1416 3137 1578 3138 1413 3138 1390 3138 1579 3139 1577 3139 1413 3139 1578 3140 1579 3140 1413 3140 1580 3141 1390 3141 1307 3141 1580 3142 1578 3142 1390 3142 1274 3143 1307 3143 1273 3143 1274 3144 1580 3144 1307 3144 1581 3145 1259 3145 1267 3145 1582 3146 1581 3146 1267 3146 1583 3147 1582 3147 1267 3147 1584 3148 1583 3148 1267 3148 1569 3149 1584 3149 1267 3149 1585 3150 1314 3150 1319 3150 1586 3151 1311 3151 1314 3151 1585 3152 1587 3152 1314 3152 1586 3153 1314 3153 1587 3153 1588 3154 1319 3154 1322 3154 1588 3155 1585 3155 1319 3155 1589 3156 1322 3156 1327 3156 1590 3157 1588 3157 1322 3157 1589 3158 1590 3158 1322 3158 1591 3159 1327 3159 1290 3159 1591 3160 1589 3160 1327 3160 1592 3161 1290 3161 1287 3161 1593 3162 1591 3162 1290 3162 1592 3163 1593 3163 1290 3163 1594 3164 1287 3164 1295 3164 1595 3165 1592 3165 1287 3165 1594 3166 1595 3166 1287 3166 1596 3167 1295 3167 1298 3167 1596 3168 1594 3168 1295 3168 1597 3169 1298 3169 1304 3169 1598 3170 1596 3170 1298 3170 1597 3171 1598 3171 1298 3171 1599 3172 1304 3172 1311 3172 1599 3173 1597 3173 1304 3173 1600 3174 1599 3174 1311 3174 1586 3175 1600 3175 1311 3175 1264 3176 1259 3176 1581 3176 1601 3177 1581 3177 1582 3177 1264 3178 1581 3178 1602 3178 1603 3179 1602 3179 1581 3179 1604 3180 1603 3180 1581 3180 1605 3181 1604 3181 1581 3181 1606 3182 1605 3182 1581 3182 1607 3183 1606 3183 1581 3183 1608 3184 1607 3184 1581 3184 1609 3185 1608 3185 1581 3185 1610 3186 1609 3186 1581 3186 1611 3187 1610 3187 1581 3187 1612 3188 1611 3188 1581 3188 1601 3189 1612 3189 1581 3189 1613 3190 1582 3190 1583 3190 1614 3191 1615 3191 1582 3191 1616 3192 1582 3192 1615 3192 1617 3193 1582 3193 1613 3193 1618 3194 1614 3194 1582 3194 1617 3195 1618 3195 1582 3195 1601 3196 1582 3196 1616 3196 1619 3197 1613 3197 1583 3197 1584 3198 1619 3198 1583 3198 1620 3199 1282 3199 1575 3199 1283 3200 1282 3200 1620 3200 1621 3201 1575 3201 1576 3201 1620 3202 1575 3202 1621 3202 1621 3203 1576 3203 1577 3203 1621 3204 1577 3204 1579 3204 1622 3205 1579 3205 1578 3205 1623 3206 1579 3206 1622 3206 1621 3207 1579 3207 1623 3207 1624 3208 1578 3208 1580 3208 1622 3209 1578 3209 1624 3209 1625 3210 1580 3210 1274 3210 1626 3211 1580 3211 1625 3211 1624 3212 1580 3212 1626 3212 1275 3213 1274 3213 1272 3213 1625 3214 1274 3214 1275 3214 1627 3215 1275 3215 1276 3215 1625 3216 1275 3216 1627 3216 1628 3217 1276 3217 1277 3217 1627 3218 1276 3218 1628 3218 1628 3219 1277 3219 1629 3219 1278 3220 1629 3220 1277 3220 1570 3221 1264 3221 1602 3221 1615 3222 1570 3222 1602 3222 1630 3223 1615 3223 1602 3223 1603 3224 1630 3224 1602 3224 1614 3225 1570 3225 1615 3225 1614 3226 1571 3226 1570 3226 1631 3227 1632 3227 1615 3227 1633 3228 1615 3228 1632 3228 1630 3229 1631 3229 1615 3229 1634 3230 1615 3230 1633 3230 1635 3231 1636 3231 1615 3231 1637 3232 1615 3232 1636 3232 1634 3233 1635 3233 1615 3233 1638 3234 1639 3234 1615 3234 1640 3235 1615 3235 1639 3235 1637 3236 1638 3236 1615 3236 1640 3237 1616 3237 1615 3237 1617 3238 1613 3238 1619 3238 1641 3239 1619 3239 1584 3239 1641 3240 1617 3240 1619 3240 1642 3241 1584 3241 1569 3241 1642 3242 1641 3242 1584 3242 1643 3243 1569 3243 1572 3243 1642 3244 1569 3244 1643 3244 1644 3245 1572 3245 1573 3245 1643 3246 1572 3246 1644 3246 1645 3247 1573 3247 1574 3247 1645 3248 1644 3248 1573 3248 1646 3249 1574 3249 1571 3249 1645 3250 1574 3250 1646 3250 1614 3251 1647 3251 1571 3251 1646 3252 1571 3252 1647 3252 1648 3253 1647 3253 1614 3253 1646 3254 1647 3254 1648 3254 1649 3255 1614 3255 1618 3255 1650 3256 1614 3256 1649 3256 1648 3257 1614 3257 1650 3257 1641 3258 1618 3258 1617 3258 1651 3259 1649 3259 1618 3259 1652 3260 1651 3260 1618 3260 1653 3261 1652 3261 1618 3261 1654 3262 1653 3262 1618 3262 1655 3263 1654 3263 1618 3263 1656 3264 1655 3264 1618 3264 1657 3265 1656 3265 1618 3265 1658 3266 1657 3266 1618 3266 1659 3267 1658 3267 1618 3267 1660 3268 1661 3268 1618 3268 1659 3269 1618 3269 1661 3269 1662 3270 1660 3270 1618 3270 1663 3271 1662 3271 1618 3271 1664 3272 1663 3272 1618 3272 1665 3273 1664 3273 1618 3273 1641 3274 1665 3274 1618 3274 1649 3275 1632 3275 1631 3275 1651 3276 1633 3276 1632 3276 1651 3277 1632 3277 1649 3277 1650 3278 1631 3278 1630 3278 1650 3279 1649 3279 1631 3279 1666 3280 1630 3280 1603 3280 1650 3281 1630 3281 1666 3281 1667 3282 1603 3282 1604 3282 1666 3283 1603 3283 1667 3283 1605 3284 1633 3284 1604 3284 1652 3285 1604 3285 1633 3285 1667 3286 1604 3286 1652 3286 1605 3287 1634 3287 1633 3287 1652 3288 1633 3288 1651 3288 1653 3289 1636 3289 1635 3289 1637 3290 1636 3290 1607 3290 1654 3291 1607 3291 1636 3291 1654 3292 1636 3292 1653 3292 1668 3293 1635 3293 1634 3293 1668 3294 1653 3294 1635 3294 1669 3295 1634 3295 1605 3295 1668 3296 1634 3296 1669 3296 1670 3297 1605 3297 1606 3297 1669 3298 1605 3298 1670 3298 1655 3299 1606 3299 1607 3299 1670 3300 1606 3300 1655 3300 1608 3301 1637 3301 1607 3301 1655 3302 1607 3302 1654 3302 1656 3303 1639 3303 1638 3303 1671 3304 1639 3304 1610 3304 1657 3305 1610 3305 1639 3305 1671 3306 1640 3306 1639 3306 1657 3307 1639 3307 1656 3307 1672 3308 1638 3308 1637 3308 1672 3309 1656 3309 1638 3309 1673 3310 1637 3310 1608 3310 1672 3311 1637 3311 1673 3311 1674 3312 1608 3312 1609 3312 1673 3313 1608 3313 1674 3313 1658 3314 1609 3314 1610 3314 1674 3315 1609 3315 1658 3315 1611 3316 1671 3316 1610 3316 1658 3317 1610 3317 1657 3317 1661 3318 1616 3318 1640 3318 1660 3319 1601 3319 1616 3319 1660 3320 1616 3320 1661 3320 1659 3321 1640 3321 1671 3321 1659 3322 1661 3322 1640 3322 1675 3323 1671 3323 1611 3323 1659 3324 1671 3324 1675 3324 1676 3325 1611 3325 1612 3325 1675 3326 1611 3326 1676 3326 1662 3327 1612 3327 1601 3327 1676 3328 1612 3328 1662 3328 1662 3329 1601 3329 1660 3329 1677 3330 1667 3330 1652 3330 1668 3331 1652 3331 1653 3331 1677 3332 1652 3332 1668 3332 1677 3333 1666 3333 1667 3333 1677 3334 1650 3334 1666 3334 1678 3335 1650 3335 1677 3335 1678 3336 1648 3336 1650 3336 1672 3337 1670 3337 1655 3337 1672 3338 1655 3338 1656 3338 1677 3339 1669 3339 1670 3339 1677 3340 1670 3340 1672 3340 1677 3341 1668 3341 1669 3341 1659 3342 1674 3342 1658 3342 1677 3343 1673 3343 1674 3343 1659 3344 1675 3344 1674 3344 1677 3345 1674 3345 1675 3345 1677 3346 1672 3346 1673 3346 1663 3347 1676 3347 1662 3347 1677 3348 1675 3348 1676 3348 1663 3349 1677 3349 1676 3349 1644 3350 1677 3350 1663 3350 1645 3351 1678 3351 1677 3351 1645 3352 1677 3352 1644 3352 1643 3353 1663 3353 1664 3353 1643 3354 1644 3354 1663 3354 1642 3355 1664 3355 1665 3355 1642 3356 1643 3356 1664 3356 1642 3357 1665 3357 1641 3357 1646 3358 1648 3358 1678 3358 1645 3359 1646 3359 1678 3359 1679 3360 1680 3360 1681 3360 1625 3361 1681 3361 1680 3361 1682 3362 1681 3362 1683 3362 1627 3363 1683 3363 1681 3363 1684 3364 1681 3364 1682 3364 1679 3365 1681 3365 1684 3365 1625 3366 1627 3366 1681 3366 1685 3367 1686 3367 1680 3367 1626 3368 1680 3368 1686 3368 1687 3369 1685 3369 1680 3369 1688 3370 1687 3370 1680 3370 1679 3371 1688 3371 1680 3371 1626 3372 1625 3372 1680 3372 1689 3373 1690 3373 1686 3373 1626 3374 1686 3374 1690 3374 1691 3375 1686 3375 1685 3375 1692 3376 1686 3376 1691 3376 1693 3377 1689 3377 1686 3377 1694 3378 1693 3378 1686 3378 1692 3379 1694 3379 1686 3379 1695 3380 1696 3380 1690 3380 1624 3381 1690 3381 1696 3381 1697 3382 1695 3382 1690 3382 1689 3383 1697 3383 1690 3383 1624 3384 1626 3384 1690 3384 1698 3385 1699 3385 1696 3385 1622 3386 1696 3386 1699 3386 1698 3387 1696 3387 1695 3387 1622 3388 1624 3388 1696 3388 1700 3389 1701 3389 1699 3389 1623 3390 1699 3390 1701 3390 1702 3391 1693 3391 1699 3391 1694 3392 1699 3392 1693 3392 1698 3393 1702 3393 1699 3393 1703 3394 1700 3394 1699 3394 1703 3395 1699 3395 1694 3395 1623 3396 1622 3396 1699 3396 1704 3397 1705 3397 1701 3397 1623 3398 1701 3398 1705 3398 1700 3399 1706 3399 1701 3399 1704 3400 1701 3400 1706 3400 1707 3401 1708 3401 1705 3401 1709 3402 1705 3402 1708 3402 1704 3403 1710 3403 1705 3403 1711 3404 1705 3404 1710 3404 1712 3405 1707 3405 1705 3405 1713 3406 1712 3406 1705 3406 1714 3407 1713 3407 1705 3407 1711 3408 1714 3408 1705 3408 1709 3409 1623 3409 1705 3409 1715 3410 1716 3410 1708 3410 1717 3411 1708 3411 1716 3411 1718 3412 1708 3412 1707 3412 1715 3413 1708 3413 1718 3413 1709 3414 1708 3414 1717 3414 1719 3415 1720 3415 1716 3415 1721 3416 1716 3416 1720 3416 1722 3417 1719 3417 1716 3417 1723 3418 1722 3418 1716 3418 1715 3419 1723 3419 1716 3419 1721 3420 1717 3420 1716 3420 1724 3421 1725 3421 1720 3421 1721 3422 1720 3422 1725 3422 1726 3423 1724 3423 1720 3423 1727 3424 1726 3424 1720 3424 1728 3425 1720 3425 1719 3425 1729 3426 1720 3426 1728 3426 1729 3427 1727 3427 1720 3427 1730 3428 1731 3428 1725 3428 1732 3429 1725 3429 1731 3429 1733 3430 1730 3430 1725 3430 1724 3431 1733 3431 1725 3431 1732 3432 1721 3432 1725 3432 1734 3433 1735 3433 1731 3433 1629 3434 1731 3434 1735 3434 1734 3435 1731 3435 1730 3435 1629 3436 1732 3436 1731 3436 1736 3437 1737 3437 1735 3437 1628 3438 1735 3438 1737 3438 1738 3439 1726 3439 1735 3439 1727 3440 1735 3440 1726 3440 1734 3441 1738 3441 1735 3441 1739 3442 1736 3442 1735 3442 1727 3443 1739 3443 1735 3443 1628 3444 1629 3444 1735 3444 1740 3445 1683 3445 1737 3445 1628 3446 1737 3446 1683 3446 1736 3447 1741 3447 1737 3447 1740 3448 1737 3448 1741 3448 1740 3449 1742 3449 1683 3449 1743 3450 1683 3450 1742 3450 1744 3451 1682 3451 1683 3451 1745 3452 1744 3452 1683 3452 1746 3453 1745 3453 1683 3453 1743 3454 1746 3454 1683 3454 1627 3455 1628 3455 1683 3455 1336 3456 1730 3456 1733 3456 1342 3457 1734 3457 1730 3457 1343 3458 1342 3458 1730 3458 1336 3459 1343 3459 1730 3459 1357 3460 1733 3460 1724 3460 1339 3461 1336 3461 1733 3461 1357 3462 1339 3462 1733 3462 1353 3463 1724 3463 1726 3463 1355 3464 1357 3464 1724 3464 1353 3465 1355 3465 1724 3465 1350 3466 1726 3466 1738 3466 1354 3467 1726 3467 1350 3467 1354 3468 1353 3468 1726 3468 1348 3469 1738 3469 1734 3469 1347 3470 1350 3470 1738 3470 1348 3471 1347 3471 1738 3471 1345 3472 1348 3472 1734 3472 1342 3473 1345 3473 1734 3473 1360 3474 1741 3474 1736 3474 1365 3475 1740 3475 1741 3475 1366 3476 1365 3476 1741 3476 1360 3477 1366 3477 1741 3477 1747 3478 1748 3478 1736 3478 1375 3479 1736 3479 1748 3479 1739 3480 1747 3480 1736 3480 1361 3481 1360 3481 1736 3481 1375 3482 1361 3482 1736 3482 1747 3483 1749 3483 1748 3483 1372 3484 1748 3484 1749 3484 1374 3485 1375 3485 1748 3485 1372 3486 1374 3486 1748 3486 1743 3487 1742 3487 1749 3487 1371 3488 1749 3488 1742 3488 1747 3489 1743 3489 1749 3489 1373 3490 1749 3490 1371 3490 1373 3491 1372 3491 1749 3491 1370 3492 1742 3492 1740 3492 1369 3493 1371 3493 1742 3493 1370 3494 1369 3494 1742 3494 1368 3495 1370 3495 1740 3495 1365 3496 1368 3496 1740 3496 1378 3497 1682 3497 1744 3497 1380 3498 1684 3498 1682 3498 1381 3499 1380 3499 1682 3499 1378 3500 1381 3500 1682 3500 1389 3501 1744 3501 1745 3501 1379 3502 1378 3502 1744 3502 1389 3503 1379 3503 1744 3503 1750 3504 1751 3504 1745 3504 1386 3505 1745 3505 1751 3505 1746 3506 1750 3506 1745 3506 1388 3507 1389 3507 1745 3507 1386 3508 1388 3508 1745 3508 1752 3509 1753 3509 1751 3509 1385 3510 1751 3510 1753 3510 1750 3511 1752 3511 1751 3511 1387 3512 1751 3512 1385 3512 1387 3513 1386 3513 1751 3513 1752 3514 1684 3514 1753 3514 1384 3515 1753 3515 1684 3515 1383 3516 1385 3516 1753 3516 1384 3517 1383 3517 1753 3517 1752 3518 1679 3518 1684 3518 1382 3519 1384 3519 1684 3519 1380 3520 1382 3520 1684 3520 1393 3521 1685 3521 1687 3521 1397 3522 1691 3522 1685 3522 1399 3523 1397 3523 1685 3523 1393 3524 1399 3524 1685 3524 1408 3525 1687 3525 1688 3525 1395 3526 1393 3526 1687 3526 1408 3527 1395 3527 1687 3527 1679 3528 1754 3528 1688 3528 1405 3529 1688 3529 1754 3529 1407 3530 1408 3530 1688 3530 1405 3531 1407 3531 1688 3531 1755 3532 1756 3532 1754 3532 1403 3533 1754 3533 1756 3533 1679 3534 1755 3534 1754 3534 1406 3535 1754 3535 1403 3535 1406 3536 1405 3536 1754 3536 1692 3537 1691 3537 1756 3537 1402 3538 1756 3538 1691 3538 1755 3539 1692 3539 1756 3539 1401 3540 1403 3540 1756 3540 1402 3541 1401 3541 1756 3541 1400 3542 1402 3542 1691 3542 1397 3543 1400 3543 1691 3543 1412 3544 1695 3544 1697 3544 1418 3545 1698 3545 1695 3545 1419 3546 1418 3546 1695 3546 1412 3547 1419 3547 1695 3547 1430 3548 1697 3548 1689 3548 1415 3549 1412 3549 1697 3549 1430 3550 1415 3550 1697 3550 1427 3551 1689 3551 1693 3551 1429 3552 1430 3552 1689 3552 1427 3553 1429 3553 1689 3553 1426 3554 1693 3554 1702 3554 1428 3555 1693 3555 1426 3555 1428 3556 1427 3556 1693 3556 1425 3557 1702 3557 1698 3557 1424 3558 1426 3558 1702 3558 1425 3559 1424 3559 1702 3559 1422 3560 1425 3560 1698 3560 1418 3561 1422 3561 1698 3561 1433 3562 1706 3562 1700 3562 1436 3563 1704 3563 1706 3563 1437 3564 1436 3564 1706 3564 1433 3565 1437 3565 1706 3565 1757 3566 1758 3566 1700 3566 1446 3567 1700 3567 1758 3567 1703 3568 1757 3568 1700 3568 1434 3569 1433 3569 1700 3569 1446 3570 1434 3570 1700 3570 1757 3571 1759 3571 1758 3571 1443 3572 1758 3572 1759 3572 1445 3573 1446 3573 1758 3573 1443 3574 1445 3574 1758 3574 1711 3575 1710 3575 1759 3575 1442 3576 1759 3576 1710 3576 1757 3577 1711 3577 1759 3577 1444 3578 1759 3578 1442 3578 1444 3579 1443 3579 1759 3579 1441 3580 1710 3580 1704 3580 1439 3581 1442 3581 1710 3581 1441 3582 1439 3582 1710 3582 1438 3583 1441 3583 1704 3583 1436 3584 1438 3584 1704 3584 1449 3585 1707 3585 1712 3585 1451 3586 1718 3586 1707 3586 1452 3587 1451 3587 1707 3587 1449 3588 1452 3588 1707 3588 1461 3589 1712 3589 1713 3589 1450 3590 1449 3590 1712 3590 1461 3591 1450 3591 1712 3591 1760 3592 1761 3592 1713 3592 1458 3593 1713 3593 1761 3593 1714 3594 1760 3594 1713 3594 1460 3595 1461 3595 1713 3595 1458 3596 1460 3596 1713 3596 1762 3597 1763 3597 1761 3597 1457 3598 1761 3598 1763 3598 1760 3599 1762 3599 1761 3599 1459 3600 1761 3600 1457 3600 1459 3601 1458 3601 1761 3601 1762 3602 1718 3602 1763 3602 1456 3603 1763 3603 1718 3603 1455 3604 1457 3604 1763 3604 1456 3605 1455 3605 1763 3605 1762 3606 1715 3606 1718 3606 1453 3607 1456 3607 1718 3607 1451 3608 1453 3608 1718 3608 1463 3609 1719 3609 1722 3609 1465 3610 1728 3610 1719 3610 1466 3611 1465 3611 1719 3611 1463 3612 1466 3612 1719 3612 1474 3613 1722 3613 1723 3613 1464 3614 1463 3614 1722 3614 1474 3615 1464 3615 1722 3615 1715 3616 1764 3616 1723 3616 1471 3617 1723 3617 1764 3617 1473 3618 1474 3618 1723 3618 1471 3619 1473 3619 1723 3619 1765 3620 1766 3620 1764 3620 1470 3621 1764 3621 1766 3621 1715 3622 1765 3622 1764 3622 1472 3623 1764 3623 1470 3623 1472 3624 1471 3624 1764 3624 1729 3625 1728 3625 1766 3625 1469 3626 1766 3626 1728 3626 1765 3627 1729 3627 1766 3627 1468 3628 1470 3628 1766 3628 1469 3629 1468 3629 1766 3629 1467 3630 1469 3630 1728 3630 1465 3631 1467 3631 1728 3631 1767 3632 1694 3632 1692 3632 1587 3633 1703 3633 1694 3633 1587 3634 1694 3634 1767 3634 1768 3635 1692 3635 1755 3635 1768 3636 1767 3636 1692 3636 1586 3637 1755 3637 1679 3637 1768 3638 1755 3638 1586 3638 1600 3639 1679 3639 1752 3639 1586 3640 1679 3640 1600 3640 1599 3641 1752 3641 1750 3641 1600 3642 1752 3642 1599 3642 1597 3643 1750 3643 1746 3643 1599 3644 1750 3644 1597 3644 1598 3645 1746 3645 1743 3645 1597 3646 1746 3646 1598 3646 1596 3647 1743 3647 1747 3647 1598 3648 1743 3648 1596 3648 1594 3649 1747 3649 1739 3649 1596 3650 1747 3650 1594 3650 1595 3651 1739 3651 1727 3651 1594 3652 1739 3652 1595 3652 1769 3653 1727 3653 1729 3653 1595 3654 1727 3654 1769 3654 1770 3655 1729 3655 1765 3655 1769 3656 1729 3656 1770 3656 1592 3657 1765 3657 1715 3657 1770 3658 1765 3658 1592 3658 1593 3659 1715 3659 1762 3659 1592 3660 1715 3660 1593 3660 1591 3661 1762 3661 1760 3661 1593 3662 1762 3662 1591 3662 1589 3663 1760 3663 1714 3663 1591 3664 1760 3664 1589 3664 1590 3665 1714 3665 1711 3665 1589 3666 1714 3666 1590 3666 1588 3667 1711 3667 1757 3667 1590 3668 1711 3668 1588 3668 1585 3669 1757 3669 1703 3669 1588 3670 1757 3670 1585 3670 1585 3671 1703 3671 1587 3671 1279 3672 1717 3672 1721 3672 1620 3673 1709 3673 1717 3673 1280 3674 1620 3674 1717 3674 1279 3675 1280 3675 1717 3675 1279 3676 1721 3676 1732 3676 1278 3677 1732 3677 1629 3677 1278 3678 1279 3678 1732 3678 1621 3679 1623 3679 1709 3679 1620 3680 1621 3680 1709 3680 1280 3681 1283 3681 1620 3681 1768 3682 1587 3682 1767 3682 1768 3683 1586 3683 1587 3683 1595 3684 1770 3684 1592 3684 1595 3685 1769 3685 1770 3685 1512 3686 1515 3686 1519 3686 1508 3687 1512 3687 1519 3687 1521 3688 1508 3688 1519 3688 1521 3689 1503 3689 1508 3689 1523 3690 1505 3690 1503 3690 1521 3691 1523 3691 1503 3691 1525 3692 1526 3692 1505 3692 1523 3693 1525 3693 1505 3693 1483 3694 1477 3694 1481 3694 1483 3695 1479 3695 1477 3695 1483 3696 1500 3696 1479 3696 1490 3697 1499 3697 1500 3697 1486 3698 1490 3698 1500 3698 1483 3699 1486 3699 1500 3699 1493 3700 1497 3700 1499 3700 1490 3701 1493 3701 1499 3701 1553 3702 1549 3702 1551 3702 1552 3703 1553 3703 1551 3703 1556 3704 1548 3704 1549 3704 1553 3705 1556 3705 1549 3705 1556 3706 1547 3706 1548 3706 1556 3707 1545 3707 1547 3707 1558 3708 1546 3708 1545 3708 1556 3709 1558 3709 1545 3709 1568 3710 1560 3710 1559 3710 1567 3711 1568 3711 1559 3711 1561 3712 1567 3712 1559 3712 1563 3713 1566 3713 1567 3713 1562 3714 1563 3714 1567 3714 1561 3715 1562 3715 1567 3715 1564 3716 1565 3716 1566 3716 1563 3717 1564 3717 1566 3717 1532 3718 1530 3718 1527 3718 1531 3719 1532 3719 1527 3719 1533 3720 1544 3720 1530 3720 1532 3721 1533 3721 1530 3721 1533 3722 1543 3722 1544 3722 1533 3723 1541 3723 1543 3723 1534 3724 1537 3724 1541 3724 1533 3725 1534 3725 1541 3725 1771 3726 1772 3726 1773 3726 1774 3727 1773 3727 1772 3727 1775 3728 1773 3728 1776 3728 1777 3729 1776 3729 1773 3729 1771 3730 1773 3730 1775 3730 1774 3731 1777 3731 1773 3731 1778 3732 1779 3732 1772 3732 1780 3733 1772 3733 1779 3733 1771 3734 1778 3734 1772 3734 1774 3735 1772 3735 1781 3735 1780 3736 1781 3736 1772 3736 1782 3737 1783 3737 1779 3737 1780 3738 1779 3738 1783 3738 1784 3739 1779 3739 1778 3739 1785 3740 1782 3740 1779 3740 1786 3741 1785 3741 1779 3741 1784 3742 1786 3742 1779 3742 1787 3743 1788 3743 1783 3743 1789 3744 1783 3744 1788 3744 1790 3745 1787 3745 1783 3745 1791 3746 1790 3746 1783 3746 1782 3747 1791 3747 1783 3747 1780 3748 1783 3748 1789 3748 1792 3749 1788 3749 1787 3749 1789 3750 1788 3750 1792 3750 1793 3751 1794 3751 1787 3751 1795 3752 1787 3752 1794 3752 1790 3753 1793 3753 1787 3753 1792 3754 1787 3754 1795 3754 1796 3755 1797 3755 1794 3755 1798 3756 1794 3756 1797 3756 1793 3757 1799 3757 1794 3757 1800 3758 1794 3758 1799 3758 1800 3759 1796 3759 1794 3759 1795 3760 1794 3760 1798 3760 1801 3761 1802 3761 1797 3761 1798 3762 1797 3762 1802 3762 1803 3763 1801 3763 1797 3763 1796 3764 1804 3764 1797 3764 1805 3765 1797 3765 1804 3765 1805 3766 1803 3766 1797 3766 1806 3767 1807 3767 1802 3767 1808 3768 1802 3768 1807 3768 1801 3769 1806 3769 1802 3769 1798 3770 1802 3770 1808 3770 1809 3771 1810 3771 1807 3771 1811 3772 1807 3772 1810 3772 1806 3773 1809 3773 1807 3773 1808 3774 1807 3774 1811 3774 1812 3775 1813 3775 1810 3775 1814 3776 1810 3776 1813 3776 1809 3777 1812 3777 1810 3777 1815 3778 1810 3778 1814 3778 1811 3779 1810 3779 1815 3779 1816 3780 1817 3780 1813 3780 1814 3781 1813 3781 1817 3781 1818 3782 1813 3782 1812 3782 1819 3783 1820 3783 1813 3783 1816 3784 1813 3784 1820 3784 1818 3785 1819 3785 1813 3785 1821 3786 1822 3786 1817 3786 1823 3787 1817 3787 1822 3787 1824 3788 1821 3788 1817 3788 1825 3789 1824 3789 1817 3789 1816 3790 1825 3790 1817 3790 1814 3791 1817 3791 1823 3791 1826 3792 1822 3792 1821 3792 1823 3793 1822 3793 1826 3793 1827 3794 1828 3794 1821 3794 1829 3795 1821 3795 1828 3795 1824 3796 1827 3796 1821 3796 1826 3797 1821 3797 1829 3797 1830 3798 1831 3798 1828 3798 1832 3799 1828 3799 1831 3799 1827 3800 1833 3800 1828 3800 1834 3801 1828 3801 1833 3801 1834 3802 1830 3802 1828 3802 1829 3803 1828 3803 1832 3803 1835 3804 1776 3804 1831 3804 1832 3805 1831 3805 1776 3805 1836 3806 1835 3806 1831 3806 1837 3807 1836 3807 1831 3807 1838 3808 1837 3808 1831 3808 1830 3809 1838 3809 1831 3809 1835 3810 1775 3810 1776 3810 1832 3811 1776 3811 1777 3811 1839 3812 1775 3812 1835 3812 1840 3813 1771 3813 1775 3813 1840 3814 1775 3814 1839 3814 1841 3815 1833 3815 1835 3815 1842 3816 1835 3816 1833 3816 1836 3817 1841 3817 1835 3817 1842 3818 1839 3818 1835 3818 1843 3819 1833 3819 1827 3819 1841 3820 1844 3820 1833 3820 1845 3821 1833 3821 1844 3821 1845 3822 1834 3822 1833 3822 1843 3823 1842 3823 1833 3823 1846 3824 1827 3824 1824 3824 1846 3825 1843 3825 1827 3825 1847 3826 1812 3826 1824 3826 1848 3827 1824 3827 1812 3827 1825 3828 1847 3828 1824 3828 1848 3829 1846 3829 1824 3829 1849 3830 1812 3830 1809 3830 1850 3831 1818 3831 1812 3831 1851 3832 1850 3832 1812 3832 1847 3833 1851 3833 1812 3833 1849 3834 1848 3834 1812 3834 1852 3835 1809 3835 1806 3835 1852 3836 1849 3836 1809 3836 1853 3837 1806 3837 1801 3837 1853 3838 1852 3838 1806 3838 1854 3839 1799 3839 1801 3839 1855 3840 1801 3840 1799 3840 1803 3841 1854 3841 1801 3841 1855 3842 1853 3842 1801 3842 1856 3843 1799 3843 1793 3843 1857 3844 1800 3844 1799 3844 1858 3845 1857 3845 1799 3845 1854 3846 1858 3846 1799 3846 1855 3847 1799 3847 1856 3847 1859 3848 1793 3848 1790 3848 1856 3849 1793 3849 1859 3849 1860 3850 1778 3850 1790 3850 1861 3851 1790 3851 1778 3851 1791 3852 1860 3852 1790 3852 1859 3853 1790 3853 1861 3853 1862 3854 1778 3854 1771 3854 1860 3855 1863 3855 1778 3855 1864 3856 1778 3856 1863 3856 1864 3857 1784 3857 1778 3857 1861 3858 1778 3858 1862 3858 1862 3859 1771 3859 1840 3859 1865 3860 1863 3860 1860 3860 1866 3861 1864 3861 1863 3861 1866 3862 1863 3862 1865 3862 1867 3863 1860 3863 1791 3863 1867 3864 1865 3864 1860 3864 1868 3865 1791 3865 1782 3865 1867 3866 1791 3866 1868 3866 1869 3867 1782 3867 1785 3867 1868 3868 1782 3868 1869 3868 1870 3869 1785 3869 1786 3869 1869 3870 1785 3870 1870 3870 1871 3871 1786 3871 1784 3871 1870 3872 1786 3872 1871 3872 1872 3873 1784 3873 1864 3873 1871 3874 1784 3874 1872 3874 1872 3875 1864 3875 1866 3875 1873 3876 1804 3876 1796 3876 1874 3877 1805 3877 1804 3877 1874 3878 1804 3878 1873 3878 1875 3879 1796 3879 1800 3879 1875 3880 1873 3880 1796 3880 1876 3881 1800 3881 1857 3881 1875 3882 1800 3882 1876 3882 1877 3883 1857 3883 1858 3883 1876 3884 1857 3884 1877 3884 1878 3885 1858 3885 1854 3885 1877 3886 1858 3886 1878 3886 1879 3887 1854 3887 1803 3887 1878 3888 1854 3888 1879 3888 1880 3889 1803 3889 1805 3889 1879 3890 1803 3890 1880 3890 1880 3891 1805 3891 1874 3891 1881 3892 1820 3892 1819 3892 1882 3893 1816 3893 1820 3893 1882 3894 1820 3894 1881 3894 1883 3895 1819 3895 1818 3895 1883 3896 1881 3896 1819 3896 1884 3897 1818 3897 1850 3897 1883 3898 1818 3898 1884 3898 1885 3899 1850 3899 1851 3899 1884 3900 1850 3900 1885 3900 1886 3901 1851 3901 1847 3901 1885 3902 1851 3902 1886 3902 1887 3903 1847 3903 1825 3903 1886 3904 1847 3904 1887 3904 1888 3905 1825 3905 1816 3905 1887 3906 1825 3906 1888 3906 1888 3907 1816 3907 1882 3907 1889 3908 1844 3908 1841 3908 1890 3909 1845 3909 1844 3909 1890 3910 1844 3910 1889 3910 1891 3911 1841 3911 1836 3911 1891 3912 1889 3912 1841 3912 1892 3913 1836 3913 1837 3913 1891 3914 1836 3914 1892 3914 1893 3915 1837 3915 1838 3915 1892 3916 1837 3916 1893 3916 1894 3917 1838 3917 1830 3917 1893 3918 1838 3918 1894 3918 1895 3919 1830 3919 1834 3919 1894 3920 1830 3920 1895 3920 1896 3921 1834 3921 1845 3921 1895 3922 1834 3922 1896 3922 1896 3923 1845 3923 1890 3923 1897 3924 1839 3924 1842 3924 1898 3925 1840 3925 1839 3925 1898 3926 1839 3926 1897 3926 1899 3927 1842 3927 1843 3927 1900 3928 1897 3928 1842 3928 1899 3929 1900 3929 1842 3929 1901 3930 1843 3930 1846 3930 1901 3931 1899 3931 1843 3931 1902 3932 1846 3932 1848 3932 1902 3933 1901 3933 1846 3933 1902 3934 1848 3934 1849 3934 1903 3935 1849 3935 1852 3935 1903 3936 1902 3936 1849 3936 1904 3937 1852 3937 1853 3937 1904 3938 1903 3938 1852 3938 1905 3939 1853 3939 1855 3939 1905 3940 1904 3940 1853 3940 1906 3941 1862 3941 1840 3941 1898 3942 1906 3942 1840 3942 1907 3943 1861 3943 1862 3943 1906 3944 1907 3944 1862 3944 1907 3945 1859 3945 1861 3945 1908 3946 1856 3946 1859 3946 1907 3947 1908 3947 1859 3947 1909 3948 1855 3948 1856 3948 1908 3949 1909 3949 1856 3949 1910 3950 1905 3950 1855 3950 1909 3951 1910 3951 1855 3951 1277 3952 1897 3952 1900 3952 1911 3953 1898 3953 1897 3953 1911 3954 1897 3954 1277 3954 1912 3955 1900 3955 1899 3955 1912 3956 1277 3956 1900 3956 1913 3957 1899 3957 1901 3957 1913 3958 1912 3958 1899 3958 1914 3959 1901 3959 1902 3959 1914 3960 1913 3960 1901 3960 1915 3961 1902 3961 1903 3961 1915 3962 1914 3962 1902 3962 1916 3963 1903 3963 1904 3963 1916 3964 1915 3964 1903 3964 1917 3965 1904 3965 1905 3965 1917 3966 1916 3966 1904 3966 1579 3967 1905 3967 1910 3967 1579 3968 1917 3968 1905 3968 1918 3969 1910 3969 1909 3969 1918 3970 1579 3970 1910 3970 1919 3971 1909 3971 1908 3971 1918 3972 1909 3972 1919 3972 1920 3973 1908 3973 1907 3973 1919 3974 1908 3974 1920 3974 1921 3975 1907 3975 1906 3975 1920 3976 1907 3976 1921 3976 1922 3977 1906 3977 1898 3977 1921 3978 1906 3978 1922 3978 1922 3979 1898 3979 1911 3979 1923 3980 1277 3980 1912 3980 1924 3981 1911 3981 1277 3981 1924 3982 1277 3982 1923 3982 1925 3983 1912 3983 1913 3983 1925 3984 1923 3984 1912 3984 1926 3985 1913 3985 1914 3985 1927 3986 1925 3986 1913 3986 1926 3987 1927 3987 1913 3987 1916 3988 1914 3988 1915 3988 1926 3989 1914 3989 1916 3989 1928 3990 1916 3990 1917 3990 1928 3991 1926 3991 1916 3991 1929 3992 1917 3992 1579 3992 1929 3993 1928 3993 1917 3993 1930 3994 1579 3994 1918 3994 1930 3995 1929 3995 1579 3995 1931 3996 1922 3996 1911 3996 1924 3997 1931 3997 1911 3997 1920 3998 1921 3998 1922 3998 1932 3999 1920 3999 1922 3999 1931 4000 1932 4000 1922 4000 1932 4001 1919 4001 1920 4001 1933 4002 1918 4002 1919 4002 1934 4003 1933 4003 1919 4003 1932 4004 1934 4004 1919 4004 1933 4005 1930 4005 1918 4005 1935 4006 1923 4006 1925 4006 1936 4007 1924 4007 1923 4007 1936 4008 1923 4008 1935 4008 1937 4009 1925 4009 1927 4009 1938 4010 1935 4010 1925 4010 1937 4011 1938 4011 1925 4011 1939 4012 1927 4012 1926 4012 1939 4013 1937 4013 1927 4013 1940 4014 1926 4014 1928 4014 1940 4015 1939 4015 1926 4015 1941 4016 1928 4016 1929 4016 1941 4017 1940 4017 1928 4017 1942 4018 1929 4018 1930 4018 1942 4019 1941 4019 1929 4019 1943 4020 1930 4020 1933 4020 1943 4021 1942 4021 1930 4021 1944 4022 1933 4022 1934 4022 1943 4023 1933 4023 1945 4023 1944 4024 1945 4024 1933 4024 1946 4025 1934 4025 1932 4025 1946 4026 1944 4026 1934 4026 1947 4027 1932 4027 1931 4027 1947 4028 1946 4028 1932 4028 1948 4029 1931 4029 1924 4029 1948 4030 1947 4030 1931 4030 1936 4031 1948 4031 1924 4031 1936 4032 1935 4032 1938 4032 1949 4033 1938 4033 1937 4033 1950 4034 1938 4034 1949 4034 1950 4035 1936 4035 1938 4035 1951 4036 1937 4036 1939 4036 1951 4037 1949 4037 1937 4037 1952 4038 1939 4038 1940 4038 1952 4039 1951 4039 1939 4039 1953 4040 1940 4040 1941 4040 1953 4041 1952 4041 1940 4041 1954 4042 1941 4042 1942 4042 1954 4043 1953 4043 1941 4043 1943 4044 1945 4044 1942 4044 1955 4045 1942 4045 1945 4045 1955 4046 1954 4046 1942 4046 1956 4047 1955 4047 1945 4047 1944 4048 1956 4048 1945 4048 1957 4049 1949 4049 1951 4049 1958 4050 1949 4050 1957 4050 1950 4051 1949 4051 1958 4051 1959 4052 1951 4052 1952 4052 1960 4053 1957 4053 1951 4053 1959 4054 1960 4054 1951 4054 1961 4055 1952 4055 1953 4055 1961 4056 1959 4056 1952 4056 1962 4057 1953 4057 1954 4057 1962 4058 1961 4058 1953 4058 1963 4059 1954 4059 1955 4059 1963 4060 1962 4060 1954 4060 1964 4061 1955 4061 1956 4061 1964 4062 1963 4062 1955 4062 1965 4063 1964 4063 1956 4063 1966 4064 1965 4064 1956 4064 1966 4065 1956 4065 1944 4065 1958 4066 1957 4066 1960 4066 1967 4067 1960 4067 1959 4067 1968 4068 1958 4068 1960 4068 1968 4069 1960 4069 1967 4069 1969 4070 1959 4070 1961 4070 1969 4071 1967 4071 1959 4071 1970 4072 1961 4072 1962 4072 1970 4073 1969 4073 1961 4073 1971 4074 1962 4074 1963 4074 1972 4075 1970 4075 1962 4075 1971 4076 1972 4076 1962 4076 1971 4077 1963 4077 1964 4077 1965 4078 1973 4078 1964 4078 1974 4079 1964 4079 1973 4079 1974 4080 1971 4080 1964 4080 1966 4081 1973 4081 1965 4081 1975 4082 1973 4082 1976 4082 1966 4083 1976 4083 1973 4083 1975 4084 1974 4084 1973 4084 1977 4085 1978 4085 1958 4085 1950 4086 1958 4086 1978 4086 1968 4087 1977 4087 1958 4087 1977 4088 1979 4088 1978 4088 1980 4089 1978 4089 1979 4089 1950 4090 1978 4090 1980 4090 1981 4091 1982 4091 1979 4091 1983 4092 1979 4092 1982 4092 1984 4093 1981 4093 1979 4093 1977 4094 1984 4094 1979 4094 1980 4095 1979 4095 1983 4095 1985 4096 1976 4096 1982 4096 1986 4097 1982 4097 1976 4097 1981 4098 1985 4098 1982 4098 1983 4099 1982 4099 1986 4099 1985 4100 1975 4100 1976 4100 1986 4101 1976 4101 1966 4101 1987 4102 1967 4102 1969 4102 1988 4103 1968 4103 1967 4103 1988 4104 1967 4104 1987 4104 1989 4105 1969 4105 1970 4105 1989 4106 1987 4106 1969 4106 1972 4107 1990 4107 1970 4107 1991 4108 1970 4108 1990 4108 1991 4109 1989 4109 1970 4109 1992 4110 1990 4110 1972 4110 1992 4111 1991 4111 1990 4111 1993 4112 1972 4112 1971 4112 1993 4113 1992 4113 1972 4113 1994 4114 1971 4114 1974 4114 1994 4115 1993 4115 1971 4115 1995 4116 1974 4116 1975 4116 1995 4117 1994 4117 1974 4117 1996 4118 1975 4118 1985 4118 1996 4119 1995 4119 1975 4119 1997 4120 1985 4120 1981 4120 1997 4121 1996 4121 1985 4121 1984 4122 1998 4122 1981 4122 1999 4123 1981 4123 1998 4123 1997 4124 1981 4124 1999 4124 2000 4125 1998 4125 1984 4125 1999 4126 1998 4126 2000 4126 2001 4127 1984 4127 1977 4127 2000 4128 1984 4128 2001 4128 2002 4129 1977 4129 1968 4129 2001 4130 1977 4130 2002 4130 2002 4131 1968 4131 1988 4131 2003 4132 1987 4132 1989 4132 2004 4133 1988 4133 1987 4133 2004 4134 1987 4134 2003 4134 2005 4135 1989 4135 1991 4135 2005 4136 2003 4136 1989 4136 2006 4137 1991 4137 1992 4137 2006 4138 2005 4138 1991 4138 2007 4139 1992 4139 1993 4139 2008 4140 2006 4140 1992 4140 2007 4141 2008 4141 1992 4141 2009 4142 1993 4142 1994 4142 2009 4143 2007 4143 1993 4143 2010 4144 1994 4144 1995 4144 2010 4145 2009 4145 1994 4145 2010 4146 1995 4146 1996 4146 2011 4147 1996 4147 1997 4147 2011 4148 2010 4148 1996 4148 2004 4149 2002 4149 1988 4149 2012 4150 2001 4150 2002 4150 2004 4151 2012 4151 2002 4151 2013 4152 2000 4152 2001 4152 2012 4153 2013 4153 2001 4153 2014 4154 1999 4154 2000 4154 2015 4155 2014 4155 2000 4155 2013 4156 2015 4156 2000 4156 2016 4157 1997 4157 1999 4157 2014 4158 2016 4158 1999 4158 2016 4159 2011 4159 1997 4159 2017 4160 2003 4160 2005 4160 2018 4161 2004 4161 2003 4161 2018 4162 2003 4162 2017 4162 2019 4163 2005 4163 2006 4163 2019 4164 2017 4164 2005 4164 2020 4165 2006 4165 2008 4165 2020 4166 2019 4166 2006 4166 2021 4167 2008 4167 2007 4167 2021 4168 2020 4168 2008 4168 2022 4169 2007 4169 2009 4169 2022 4170 2021 4170 2007 4170 2023 4171 2009 4171 2010 4171 2023 4172 2022 4172 2009 4172 2024 4173 2010 4173 2011 4173 2024 4174 2023 4174 2010 4174 2025 4175 2011 4175 2016 4175 2025 4176 2024 4176 2011 4176 2026 4177 2016 4177 2014 4177 2026 4178 2025 4178 2016 4178 2027 4179 2014 4179 2015 4179 2026 4180 2014 4180 2027 4180 2028 4181 2015 4181 2013 4181 2027 4182 2015 4182 2028 4182 2029 4183 2013 4183 2012 4183 2028 4184 2013 4184 2029 4184 2030 4185 2012 4185 2004 4185 2029 4186 2012 4186 2030 4186 2030 4187 2004 4187 2018 4187 2031 4188 2017 4188 2019 4188 2032 4189 2018 4189 2017 4189 2032 4190 2017 4190 2031 4190 2033 4191 2019 4191 2020 4191 2033 4192 2031 4192 2019 4192 2034 4193 2020 4193 2021 4193 2035 4194 2033 4194 2020 4194 2036 4195 2035 4195 2020 4195 2034 4196 2037 4196 2020 4196 2038 4197 2020 4197 2037 4197 2038 4198 2036 4198 2020 4198 2039 4199 2021 4199 2022 4199 2039 4200 2040 4200 2021 4200 2041 4201 2021 4201 2040 4201 2041 4202 2034 4202 2021 4202 2042 4203 2022 4203 2023 4203 2042 4204 2039 4204 2022 4204 2043 4205 2023 4205 2024 4205 2044 4206 2042 4206 2023 4206 2045 4207 2044 4207 2023 4207 2046 4208 2045 4208 2023 4208 2043 4209 2046 4209 2023 4209 2047 4210 2024 4210 2025 4210 2047 4211 2048 4211 2024 4211 2049 4212 2024 4212 2048 4212 2049 4213 2043 4213 2024 4213 2050 4214 2025 4214 2026 4214 2050 4215 2047 4215 2025 4215 2051 4216 2030 4216 2018 4216 2032 4217 2052 4217 2018 4217 2053 4218 2018 4218 2052 4218 2053 4219 2051 4219 2018 4219 2054 4220 2029 4220 2030 4220 2055 4221 2054 4221 2030 4221 2051 4222 2056 4222 2030 4222 2057 4223 2030 4223 2056 4223 2057 4224 2055 4224 2030 4224 2058 4225 2028 4225 2029 4225 2054 4226 2058 4226 2029 4226 2059 4227 2027 4227 2028 4227 2058 4228 2060 4228 2028 4228 2061 4229 2028 4229 2060 4229 2061 4230 2059 4230 2028 4230 2062 4231 2026 4231 2027 4231 2063 4232 2062 4232 2027 4232 2064 4233 2063 4233 2027 4233 2065 4234 2064 4234 2027 4234 2066 4235 2065 4235 2027 4235 2059 4236 2066 4236 2027 4236 2062 4237 2050 4237 2026 4237 2067 4238 2031 4238 2033 4238 2068 4239 2032 4239 2031 4239 2068 4240 2031 4240 2067 4240 2069 4241 2033 4241 2035 4241 2070 4242 2067 4242 2033 4242 2069 4243 2070 4243 2033 4243 2071 4244 2040 4244 2035 4244 2069 4245 2035 4245 2040 4245 2072 4246 2071 4246 2035 4246 2073 4247 2072 4247 2035 4247 2036 4248 2073 4248 2035 4248 2039 4249 2074 4249 2040 4249 2075 4250 2040 4250 2074 4250 2071 4251 2041 4251 2040 4251 2075 4252 2069 4252 2040 4252 2076 4253 2074 4253 2039 4253 2076 4254 2075 4254 2074 4254 2077 4255 2039 4255 2042 4255 2077 4256 2076 4256 2039 4256 2078 4257 2048 4257 2042 4257 2079 4258 2042 4258 2048 4258 2044 4259 2078 4259 2042 4259 2079 4260 2077 4260 2042 4260 2079 4261 2048 4261 2047 4261 2078 4262 2080 4262 2048 4262 2081 4263 2048 4263 2080 4263 2081 4264 2049 4264 2048 4264 2082 4265 2047 4265 2050 4265 2082 4266 2079 4266 2047 4266 2083 4267 2050 4267 2062 4267 2083 4268 2082 4268 2050 4268 2084 4269 2062 4269 2063 4269 2083 4270 2062 4270 2085 4270 2084 4271 2085 4271 2062 4271 2086 4272 2060 4272 2063 4272 2084 4273 2063 4273 2060 4273 2087 4274 2088 4274 2063 4274 2086 4275 2063 4275 2088 4275 2064 4276 2087 4276 2063 4276 2058 4277 2089 4277 2060 4277 2090 4278 2060 4278 2089 4278 2086 4279 2061 4279 2060 4279 2090 4280 2084 4280 2060 4280 2091 4281 2089 4281 2058 4281 2091 4282 2090 4282 2089 4282 2092 4283 2058 4283 2054 4283 2092 4284 2091 4284 2058 4284 2093 4285 2052 4285 2054 4285 2094 4286 2054 4286 2052 4286 2055 4287 2093 4287 2054 4287 2094 4288 2092 4288 2054 4288 2094 4289 2052 4289 2032 4289 2095 4290 2053 4290 2052 4290 2096 4291 2095 4291 2052 4291 2093 4292 2096 4292 2052 4292 2068 4293 2094 4293 2032 4293 2097 4294 2056 4294 2051 4294 2098 4295 2057 4295 2056 4295 2098 4296 2056 4296 2097 4296 2099 4297 2051 4297 2053 4297 2099 4298 2097 4298 2051 4298 2100 4299 2053 4299 2095 4299 2099 4300 2053 4300 2100 4300 2101 4301 2095 4301 2096 4301 2100 4302 2095 4302 2101 4302 2102 4303 2096 4303 2093 4303 2101 4304 2096 4304 2102 4304 2103 4305 2093 4305 2055 4305 2102 4306 2093 4306 2103 4306 2104 4307 2055 4307 2057 4307 2103 4308 2055 4308 2104 4308 2104 4309 2057 4309 2098 4309 2105 4310 2088 4310 2087 4310 2106 4311 2086 4311 2088 4311 2106 4312 2088 4312 2105 4312 2107 4313 2087 4313 2064 4313 2107 4314 2105 4314 2087 4314 2108 4315 2064 4315 2065 4315 2107 4316 2064 4316 2108 4316 2109 4317 2065 4317 2066 4317 2108 4318 2065 4318 2109 4318 2110 4319 2066 4319 2059 4319 2109 4320 2066 4320 2110 4320 2111 4321 2059 4321 2061 4321 2110 4322 2059 4322 2111 4322 2112 4323 2061 4323 2086 4323 2111 4324 2061 4324 2112 4324 2112 4325 2086 4325 2106 4325 2113 4326 2080 4326 2078 4326 2114 4327 2081 4327 2080 4327 2114 4328 2080 4328 2113 4328 2115 4329 2078 4329 2044 4329 2115 4330 2113 4330 2078 4330 2116 4331 2044 4331 2045 4331 2115 4332 2044 4332 2116 4332 2117 4333 2045 4333 2046 4333 2116 4334 2045 4334 2117 4334 2118 4335 2046 4335 2043 4335 2117 4336 2046 4336 2118 4336 2119 4337 2043 4337 2049 4337 2118 4338 2043 4338 2119 4338 2120 4339 2049 4339 2081 4339 2119 4340 2049 4340 2120 4340 2120 4341 2081 4341 2114 4341 2121 4342 2037 4342 2034 4342 2122 4343 2038 4343 2037 4343 2122 4344 2037 4344 2121 4344 2123 4345 2034 4345 2041 4345 2123 4346 2121 4346 2034 4346 2124 4347 2041 4347 2071 4347 2123 4348 2041 4348 2124 4348 2125 4349 2071 4349 2072 4349 2124 4350 2071 4350 2125 4350 2126 4351 2072 4351 2073 4351 2125 4352 2072 4352 2126 4352 2127 4353 2073 4353 2036 4353 2126 4354 2073 4354 2127 4354 2128 4355 2036 4355 2038 4355 2127 4356 2036 4356 2128 4356 2128 4357 2038 4357 2122 4357 2068 4358 2067 4358 2070 4358 2129 4359 2070 4359 2069 4359 2130 4360 2070 4360 2129 4360 2130 4361 2068 4361 2070 4361 2131 4362 2069 4362 2075 4362 2131 4363 2129 4363 2069 4363 2132 4364 2075 4364 2076 4364 2132 4365 2131 4365 2075 4365 2133 4366 2076 4366 2077 4366 2133 4367 2132 4367 2076 4367 2134 4368 2077 4368 2079 4368 2134 4369 2133 4369 2077 4369 2135 4370 2079 4370 2082 4370 2135 4371 2134 4371 2079 4371 2083 4372 2085 4372 2082 4372 2136 4373 2082 4373 2085 4373 2136 4374 2135 4374 2082 4374 2137 4375 2136 4375 2085 4375 2084 4376 2137 4376 2085 4376 2138 4377 2129 4377 2131 4377 2139 4378 2129 4378 2138 4378 2140 4379 2130 4379 2129 4379 2139 4380 2141 4380 2129 4380 2140 4381 2129 4381 2141 4381 2142 4382 2131 4382 2132 4382 2143 4383 2138 4383 2131 4383 2144 4384 2143 4384 2131 4384 2145 4385 2144 4385 2131 4385 2146 4386 2145 4386 2131 4386 2147 4387 2146 4387 2131 4387 2142 4388 2147 4388 2131 4388 2148 4389 2132 4389 2133 4389 2148 4390 2142 4390 2132 4390 2149 4391 2133 4391 2134 4391 2150 4392 2148 4392 2133 4392 2133 4393 2149 4393 2151 4393 2152 4394 2134 4394 2135 4394 2153 4395 2149 4395 2134 4395 2154 4396 2153 4396 2134 4396 2155 4397 2154 4397 2134 4397 2156 4398 2155 4398 2134 4398 2152 4399 2156 4399 2134 4399 2157 4400 2135 4400 2136 4400 2157 4401 2152 4401 2135 4401 2158 4402 2136 4402 2137 4402 2158 4403 2157 4403 2136 4403 2159 4404 2158 4404 2137 4404 2160 4405 2159 4405 2137 4405 2161 4406 2160 4406 2137 4406 2162 4407 2161 4407 2137 4407 2162 4408 2137 4408 2084 4408 2163 4409 2138 4409 2143 4409 2163 4410 2139 4410 2138 4410 2163 4411 2143 4411 2144 4411 2164 4412 2144 4412 2145 4412 2165 4413 2144 4413 2164 4413 2163 4414 2144 4414 2165 4414 2164 4415 2145 4415 2146 4415 2147 4416 2166 4416 2167 4416 2167 4417 2146 4417 2147 4417 2164 4418 2146 4418 2167 4418 2168 4419 2147 4419 2142 4419 2169 4420 2166 4420 2147 4420 2168 4421 2169 4421 2147 4421 2170 4422 2142 4422 2148 4422 2170 4423 2168 4423 2142 4423 2171 4424 2148 4424 2150 4424 2171 4425 2170 4425 2148 4425 2151 4426 2150 4426 2133 4426 2172 4427 2150 4427 2151 4427 2173 4428 2171 4428 2150 4428 2172 4429 2173 4429 2150 4429 2172 4430 2151 4430 2149 4430 2172 4431 2149 4431 2153 4431 2172 4432 2153 4432 2154 4432 2174 4433 2154 4433 2155 4433 2175 4434 2154 4434 2174 4434 2172 4435 2154 4435 2175 4435 2174 4436 2155 4436 2156 4436 2176 4437 2156 4437 2152 4437 2176 4438 2177 4438 2178 4438 2178 4439 2156 4439 2176 4439 2174 4440 2156 4440 2178 4440 2179 4441 2152 4441 2157 4441 2179 4442 2176 4442 2152 4442 2180 4443 2157 4443 2158 4443 2180 4444 2179 4444 2157 4444 2158 4445 2159 4445 2181 4445 2180 4446 2158 4446 2182 4446 2181 4447 2182 4447 2158 4447 2183 4448 2182 4448 2181 4448 2184 4449 2180 4449 2182 4449 2183 4450 2184 4450 2182 4450 2183 4451 2181 4451 2159 4451 2183 4452 2159 4452 2160 4452 2183 4453 2160 4453 2161 4453 2185 4454 2161 4454 2162 4454 2183 4455 2161 4455 2185 4455 2169 4456 2186 4456 2166 4456 2164 4457 2166 4457 2186 4457 2164 4458 2167 4458 2166 4458 2169 4459 2187 4459 2186 4459 2164 4460 2186 4460 2187 4460 2188 4461 2187 4461 2169 4461 2189 4462 2187 4462 2188 4462 2164 4463 2187 4463 2189 4463 1781 4464 2169 4464 2168 4464 1780 4465 2169 4465 1781 4465 1780 4466 2188 4466 2169 4466 1777 4467 2168 4467 2170 4467 1777 4468 1781 4468 2168 4468 1832 4469 2170 4469 2171 4469 1832 4470 1777 4470 2170 4470 2177 4471 2176 4471 2171 4471 1829 4472 2171 4472 2176 4472 2190 4473 2177 4473 2171 4473 2191 4474 2190 4474 2171 4474 2173 4475 2191 4475 2171 4475 1829 4476 1832 4476 2171 4476 1826 4477 2176 4477 2179 4477 1826 4478 1829 4478 2176 4478 1823 4479 2179 4479 2180 4479 1823 4480 1826 4480 2179 4480 2192 4481 2193 4481 2180 4481 1814 4482 2180 4482 2193 4482 2194 4483 2192 4483 2180 4483 2195 4484 2194 4484 2180 4484 2184 4485 2195 4485 2180 4485 1814 4486 1823 4486 2180 4486 2196 4487 2193 4487 2192 4487 1815 4488 1814 4488 2193 4488 2197 4489 1815 4489 2193 4489 2198 4490 2199 4490 2193 4490 2197 4491 2193 4491 2199 4491 2196 4492 2198 4492 2193 4492 2200 4493 2192 4493 2194 4493 2200 4494 2196 4494 2192 4494 2200 4495 2194 4495 2195 4495 2183 4496 2195 4496 2184 4496 2201 4497 2200 4497 2195 4497 2201 4498 2195 4498 2183 4498 2174 4499 2178 4499 2177 4499 2174 4500 2177 4500 2190 4500 2174 4501 2190 4501 2191 4501 2172 4502 2191 4502 2173 4502 2202 4503 2174 4503 2191 4503 2202 4504 2191 4504 2172 4504 1774 4505 1781 4505 1777 4505 1808 4506 1811 4506 1815 4506 1808 4507 1815 4507 2197 4507 1966 4508 1944 4508 1946 4508 1986 4509 1946 4509 1947 4509 1986 4510 1966 4510 1946 4510 1983 4511 1947 4511 1948 4511 1983 4512 1986 4512 1947 4512 1980 4513 1948 4513 1936 4513 1980 4514 1983 4514 1948 4514 1950 4515 1980 4515 1936 4515 2162 4516 2084 4516 2090 4516 2203 4517 2090 4517 2091 4517 2203 4518 2162 4518 2090 4518 2204 4519 2091 4519 2092 4519 2204 4520 2203 4520 2091 4520 2205 4521 2092 4521 2094 4521 2205 4522 2204 4522 2092 4522 2206 4523 2094 4523 2068 4523 2206 4524 2205 4524 2094 4524 2130 4525 2206 4525 2068 4525 2207 4526 2162 4526 2203 4526 2208 4527 2185 4527 2162 4527 2209 4528 2208 4528 2162 4528 2210 4529 2209 4529 2162 4529 2199 4530 2210 4530 2162 4530 2207 4531 2199 4531 2162 4531 2211 4532 2203 4532 2204 4532 2211 4533 2207 4533 2203 4533 2212 4534 2204 4534 2205 4534 2213 4535 2211 4535 2204 4535 2204 4536 2212 4536 2214 4536 2215 4537 2205 4537 2206 4537 2216 4538 2212 4538 2205 4538 2217 4539 2216 4539 2205 4539 2218 4540 2217 4540 2205 4540 2219 4541 2218 4541 2205 4541 2215 4542 2219 4542 2205 4542 2220 4543 2206 4543 2130 4543 2220 4544 2215 4544 2206 4544 2140 4545 2220 4545 2130 4545 2221 4546 2222 4546 2140 4546 2163 4547 2222 4547 2221 4547 2140 4548 2141 4548 2221 4548 2188 4549 2140 4549 2222 4549 2223 4550 2188 4550 2222 4550 2163 4551 2223 4551 2222 4551 2163 4552 2221 4552 2141 4552 2163 4553 2141 4553 2139 4553 2183 4554 2185 4554 2208 4554 2200 4555 2208 4555 2209 4555 2224 4556 2208 4556 2200 4556 2183 4557 2208 4557 2224 4557 2200 4558 2209 4558 2210 4558 2199 4559 2198 4559 2225 4559 2225 4560 2210 4560 2199 4560 2200 4561 2210 4561 2225 4561 2197 4562 2199 4562 2207 4562 2226 4563 2207 4563 2211 4563 2226 4564 2197 4564 2207 4564 2227 4565 2211 4565 2213 4565 2227 4566 2226 4566 2211 4566 2214 4567 2213 4567 2204 4567 2228 4568 2213 4568 2214 4568 2227 4569 2213 4569 2229 4569 2228 4570 2229 4570 2213 4570 2228 4571 2214 4571 2212 4571 2228 4572 2212 4572 2216 4572 2228 4573 2216 4573 2217 4573 2230 4574 2217 4574 2218 4574 2231 4575 2217 4575 2230 4575 2228 4576 2217 4576 2231 4576 2230 4577 2218 4577 2219 4577 2232 4578 2219 4578 2215 4578 2233 4579 2219 4579 2232 4579 2230 4580 2219 4580 2233 4580 2232 4581 2234 4581 2233 4581 2235 4582 2215 4582 2220 4582 2235 4583 2232 4583 2215 4583 2188 4584 2220 4584 2140 4584 2188 4585 2235 4585 2220 4585 2230 4586 2233 4586 2234 4586 2227 4587 2236 4587 2234 4587 2230 4588 2234 4588 2236 4588 2232 4589 2227 4589 2234 4589 2227 4590 2237 4590 2236 4590 2230 4591 2236 4591 2237 4591 2227 4592 2229 4592 2237 4592 2228 4593 2237 4593 2229 4593 2230 4594 2237 4594 2238 4594 2228 4595 2238 4595 2237 4595 2200 4596 2225 4596 2198 4596 2200 4597 2198 4597 2196 4597 1808 4598 2197 4598 2226 4598 1798 4599 2226 4599 2227 4599 1798 4600 1808 4600 2226 4600 1795 4601 2227 4601 2232 4601 1795 4602 1798 4602 2227 4602 1792 4603 2232 4603 2235 4603 1792 4604 1795 4604 2232 4604 1789 4605 2235 4605 2188 4605 1789 4606 1792 4606 2235 4606 2239 4607 2189 4607 2188 4607 2223 4608 2239 4608 2188 4608 1780 4609 1789 4609 2188 4609 2164 4610 2189 4610 2239 4610 2163 4611 2239 4611 2223 4611 2164 4612 2239 4612 2240 4612 2163 4613 2240 4613 2239 4613 2231 4614 2230 4614 2238 4614 2228 4615 2231 4615 2238 4615 2202 4616 2175 4616 2174 4616 2202 4617 2172 4617 2175 4617 2201 4618 2224 4618 2200 4618 2201 4619 2183 4619 2224 4619 2165 4620 2164 4620 2240 4620 2163 4621 2165 4621 2240 4621 1871 4622 1866 4622 1865 4622 1870 4623 1871 4623 1865 4623 1867 4624 1870 4624 1865 4624 1871 4625 1872 4625 1866 4625 1867 4626 1869 4626 1870 4626 1867 4627 1868 4627 1869 4627 1879 4628 1874 4628 1873 4628 1878 4629 1879 4629 1873 4629 1875 4630 1878 4630 1873 4630 1879 4631 1880 4631 1874 4631 1875 4632 1877 4632 1878 4632 1875 4633 1876 4633 1877 4633 1887 4634 1882 4634 1881 4634 1886 4635 1887 4635 1881 4635 1883 4636 1886 4636 1881 4636 1887 4637 1888 4637 1882 4637 1883 4638 1885 4638 1886 4638 1883 4639 1884 4639 1885 4639 1895 4640 1890 4640 1889 4640 1894 4641 1895 4641 1889 4641 1891 4642 1894 4642 1889 4642 1895 4643 1896 4643 1890 4643 1891 4644 1893 4644 1894 4644 1891 4645 1892 4645 1893 4645 2103 4646 2098 4646 2097 4646 2102 4647 2103 4647 2097 4647 2099 4648 2102 4648 2097 4648 2103 4649 2104 4649 2098 4649 2099 4650 2101 4650 2102 4650 2099 4651 2100 4651 2101 4651 2111 4652 2106 4652 2105 4652 2110 4653 2111 4653 2105 4653 2107 4654 2110 4654 2105 4654 2111 4655 2112 4655 2106 4655 2107 4656 2109 4656 2110 4656 2107 4657 2108 4657 2109 4657 2119 4658 2114 4658 2113 4658 2118 4659 2119 4659 2113 4659 2115 4660 2118 4660 2113 4660 2119 4661 2120 4661 2114 4661 2115 4662 2117 4662 2118 4662 2115 4663 2116 4663 2117 4663 2127 4664 2122 4664 2121 4664 2126 4665 2127 4665 2121 4665 2123 4666 2126 4666 2121 4666 2127 4667 2128 4667 2122 4667 2123 4668 2125 4668 2126 4668 2123 4669 2124 4669 2125 4669 2241 4670 2242 4670 2243 4670 2244 4671 2243 4671 2242 4671 2245 4672 2243 4672 2246 4672 2247 4673 2246 4673 2243 4673 2241 4674 2243 4674 2245 4674 2244 4675 2247 4675 2243 4675 2248 4676 2249 4676 2242 4676 2250 4677 2242 4677 2249 4677 2241 4678 2248 4678 2242 4678 2244 4679 2242 4679 2251 4679 2250 4680 2251 4680 2242 4680 2252 4681 2253 4681 2249 4681 2250 4682 2249 4682 2253 4682 2254 4683 2249 4683 2248 4683 2255 4684 2252 4684 2249 4684 2256 4685 2255 4685 2249 4685 2254 4686 2256 4686 2249 4686 2257 4687 2258 4687 2253 4687 2259 4688 2253 4688 2258 4688 2260 4689 2257 4689 2253 4689 2261 4690 2260 4690 2253 4690 2252 4691 2261 4691 2253 4691 2250 4692 2253 4692 2259 4692 2262 4693 2258 4693 2257 4693 2259 4694 2258 4694 2262 4694 2263 4695 2264 4695 2257 4695 2265 4696 2257 4696 2264 4696 2260 4697 2263 4697 2257 4697 2262 4698 2257 4698 2265 4698 2266 4699 2267 4699 2264 4699 2268 4700 2264 4700 2267 4700 2263 4701 2269 4701 2264 4701 2270 4702 2264 4702 2269 4702 2270 4703 2266 4703 2264 4703 2265 4704 2264 4704 2268 4704 2271 4705 2272 4705 2267 4705 2268 4706 2267 4706 2272 4706 2273 4707 2271 4707 2267 4707 2266 4708 2274 4708 2267 4708 2275 4709 2267 4709 2274 4709 2275 4710 2273 4710 2267 4710 2276 4711 2277 4711 2272 4711 2278 4712 2272 4712 2277 4712 2271 4713 2276 4713 2272 4713 2268 4714 2272 4714 2278 4714 2279 4715 2280 4715 2277 4715 2281 4716 2277 4716 2280 4716 2276 4717 2279 4717 2277 4717 2278 4718 2277 4718 2281 4718 2282 4719 2283 4719 2280 4719 2284 4720 2280 4720 2283 4720 2279 4721 2282 4721 2280 4721 2285 4722 2280 4722 2284 4722 2281 4723 2280 4723 2285 4723 2286 4724 2287 4724 2283 4724 2284 4725 2283 4725 2287 4725 2288 4726 2283 4726 2282 4726 2289 4727 2290 4727 2283 4727 2286 4728 2283 4728 2290 4728 2288 4729 2289 4729 2283 4729 2291 4730 2292 4730 2287 4730 2293 4731 2287 4731 2292 4731 2294 4732 2291 4732 2287 4732 2295 4733 2294 4733 2287 4733 2286 4734 2295 4734 2287 4734 2284 4735 2287 4735 2293 4735 2296 4736 2292 4736 2291 4736 2293 4737 2292 4737 2296 4737 2297 4738 2298 4738 2291 4738 2299 4739 2291 4739 2298 4739 2294 4740 2297 4740 2291 4740 2296 4741 2291 4741 2299 4741 2300 4742 2301 4742 2298 4742 2302 4743 2298 4743 2301 4743 2297 4744 2303 4744 2298 4744 2304 4745 2298 4745 2303 4745 2304 4746 2300 4746 2298 4746 2299 4747 2298 4747 2302 4747 2305 4748 2246 4748 2301 4748 2302 4749 2301 4749 2246 4749 2306 4750 2305 4750 2301 4750 2307 4751 2306 4751 2301 4751 2308 4752 2307 4752 2301 4752 2300 4753 2308 4753 2301 4753 2305 4754 2245 4754 2246 4754 2302 4755 2246 4755 2247 4755 2309 4756 2245 4756 2305 4756 2310 4757 2241 4757 2245 4757 2310 4758 2245 4758 2309 4758 2311 4759 2303 4759 2305 4759 2312 4760 2305 4760 2303 4760 2306 4761 2311 4761 2305 4761 2312 4762 2309 4762 2305 4762 2313 4763 2303 4763 2297 4763 2311 4764 2314 4764 2303 4764 2315 4765 2303 4765 2314 4765 2315 4766 2304 4766 2303 4766 2313 4767 2312 4767 2303 4767 2316 4768 2297 4768 2294 4768 2316 4769 2313 4769 2297 4769 2317 4770 2282 4770 2294 4770 2318 4771 2294 4771 2282 4771 2295 4772 2317 4772 2294 4772 2318 4773 2316 4773 2294 4773 2319 4774 2282 4774 2279 4774 2320 4775 2288 4775 2282 4775 2321 4776 2320 4776 2282 4776 2317 4777 2321 4777 2282 4777 2319 4778 2318 4778 2282 4778 2322 4779 2279 4779 2276 4779 2322 4780 2319 4780 2279 4780 2323 4781 2276 4781 2271 4781 2323 4782 2322 4782 2276 4782 2324 4783 2269 4783 2271 4783 2325 4784 2271 4784 2269 4784 2273 4785 2324 4785 2271 4785 2325 4786 2323 4786 2271 4786 2326 4787 2269 4787 2263 4787 2327 4788 2270 4788 2269 4788 2328 4789 2327 4789 2269 4789 2324 4790 2328 4790 2269 4790 2325 4791 2269 4791 2326 4791 2329 4792 2263 4792 2260 4792 2326 4793 2263 4793 2329 4793 2330 4794 2248 4794 2260 4794 2331 4795 2260 4795 2248 4795 2261 4796 2330 4796 2260 4796 2329 4797 2260 4797 2331 4797 2332 4798 2248 4798 2241 4798 2330 4799 2333 4799 2248 4799 2334 4800 2248 4800 2333 4800 2334 4801 2254 4801 2248 4801 2331 4802 2248 4802 2332 4802 2332 4803 2241 4803 2310 4803 2335 4804 2333 4804 2330 4804 2336 4805 2334 4805 2333 4805 2336 4806 2333 4806 2335 4806 2337 4807 2330 4807 2261 4807 2337 4808 2335 4808 2330 4808 2338 4809 2261 4809 2252 4809 2337 4810 2261 4810 2338 4810 2339 4811 2252 4811 2255 4811 2338 4812 2252 4812 2339 4812 2340 4813 2255 4813 2256 4813 2339 4814 2255 4814 2340 4814 2341 4815 2256 4815 2254 4815 2340 4816 2256 4816 2341 4816 2342 4817 2254 4817 2334 4817 2341 4818 2254 4818 2342 4818 2342 4819 2334 4819 2336 4819 2343 4820 2274 4820 2266 4820 2344 4821 2275 4821 2274 4821 2344 4822 2274 4822 2343 4822 2345 4823 2266 4823 2270 4823 2345 4824 2343 4824 2266 4824 2346 4825 2270 4825 2327 4825 2345 4826 2270 4826 2346 4826 2347 4827 2327 4827 2328 4827 2346 4828 2327 4828 2347 4828 2348 4829 2328 4829 2324 4829 2347 4830 2328 4830 2348 4830 2349 4831 2324 4831 2273 4831 2348 4832 2324 4832 2349 4832 2350 4833 2273 4833 2275 4833 2349 4834 2273 4834 2350 4834 2350 4835 2275 4835 2344 4835 2351 4836 2290 4836 2289 4836 2352 4837 2286 4837 2290 4837 2352 4838 2290 4838 2351 4838 2353 4839 2289 4839 2288 4839 2353 4840 2351 4840 2289 4840 2354 4841 2288 4841 2320 4841 2353 4842 2288 4842 2354 4842 2355 4843 2320 4843 2321 4843 2354 4844 2320 4844 2355 4844 2356 4845 2321 4845 2317 4845 2355 4846 2321 4846 2356 4846 2357 4847 2317 4847 2295 4847 2356 4848 2317 4848 2357 4848 2358 4849 2295 4849 2286 4849 2357 4850 2295 4850 2358 4850 2358 4851 2286 4851 2352 4851 2359 4852 2314 4852 2311 4852 2360 4853 2315 4853 2314 4853 2360 4854 2314 4854 2359 4854 2361 4855 2311 4855 2306 4855 2361 4856 2359 4856 2311 4856 2362 4857 2306 4857 2307 4857 2361 4858 2306 4858 2362 4858 2363 4859 2307 4859 2308 4859 2362 4860 2307 4860 2363 4860 2364 4861 2308 4861 2300 4861 2363 4862 2308 4862 2364 4862 2365 4863 2300 4863 2304 4863 2364 4864 2300 4864 2365 4864 2366 4865 2304 4865 2315 4865 2365 4866 2304 4866 2366 4866 2366 4867 2315 4867 2360 4867 2367 4868 2309 4868 2312 4868 2368 4869 2310 4869 2309 4869 2368 4870 2309 4870 2367 4870 2369 4871 2312 4871 2313 4871 2370 4872 2367 4872 2312 4872 2369 4873 2370 4873 2312 4873 2371 4874 2313 4874 2316 4874 2371 4875 2369 4875 2313 4875 2372 4876 2316 4876 2318 4876 2372 4877 2371 4877 2316 4877 2372 4878 2318 4878 2319 4878 2373 4879 2319 4879 2322 4879 2373 4880 2372 4880 2319 4880 2374 4881 2322 4881 2323 4881 2374 4882 2373 4882 2322 4882 2375 4883 2323 4883 2325 4883 2375 4884 2374 4884 2323 4884 2376 4885 2332 4885 2310 4885 2368 4886 2376 4886 2310 4886 2377 4887 2331 4887 2332 4887 2376 4888 2377 4888 2332 4888 2377 4889 2329 4889 2331 4889 2378 4890 2326 4890 2329 4890 2377 4891 2378 4891 2329 4891 2379 4892 2325 4892 2326 4892 2378 4893 2379 4893 2326 4893 2380 4894 2375 4894 2325 4894 2379 4895 2380 4895 2325 4895 2381 4896 2367 4896 2370 4896 2382 4897 2368 4897 2367 4897 2382 4898 2367 4898 2381 4898 2383 4899 2370 4899 2369 4899 2383 4900 2381 4900 2370 4900 2384 4901 2369 4901 2371 4901 2384 4902 2383 4902 2369 4902 2385 4903 2371 4903 2372 4903 2385 4904 2384 4904 2371 4904 2386 4905 2372 4905 2373 4905 2386 4906 2385 4906 2372 4906 2387 4907 2373 4907 2374 4907 2387 4908 2386 4908 2373 4908 2388 4909 2374 4909 2375 4909 2388 4910 2387 4910 2374 4910 2389 4911 2375 4911 2380 4911 2389 4912 2388 4912 2375 4912 2390 4913 2380 4913 2379 4913 2390 4914 2389 4914 2380 4914 2391 4915 2379 4915 2378 4915 2390 4916 2379 4916 2391 4916 2392 4917 2378 4917 2377 4917 2391 4918 2378 4918 2392 4918 2393 4919 2377 4919 2376 4919 2392 4920 2377 4920 2393 4920 2394 4921 2376 4921 2368 4921 2393 4922 2376 4922 2394 4922 2394 4923 2368 4923 2382 4923 2395 4924 2381 4924 2383 4924 2396 4925 2382 4925 2381 4925 2396 4926 2381 4926 2395 4926 2397 4927 2383 4927 2384 4927 2397 4928 2395 4928 2383 4928 2398 4929 2384 4929 2385 4929 2399 4930 2397 4930 2384 4930 2398 4931 2399 4931 2384 4931 2387 4932 2385 4932 2386 4932 2398 4933 2385 4933 2387 4933 2400 4934 2387 4934 2388 4934 2400 4935 2398 4935 2387 4935 2401 4936 2388 4936 2389 4936 2401 4937 2400 4937 2388 4937 2402 4938 2389 4938 2390 4938 2402 4939 2401 4939 2389 4939 2403 4940 2394 4940 2382 4940 2396 4941 2403 4941 2382 4941 2392 4942 2393 4942 2394 4942 2404 4943 2392 4943 2394 4943 2403 4944 2404 4944 2394 4944 2404 4945 2391 4945 2392 4945 2405 4946 2390 4946 2391 4946 2406 4947 2405 4947 2391 4947 2404 4948 2406 4948 2391 4948 2405 4949 2402 4949 2390 4949 2407 4950 2395 4950 2397 4950 2408 4951 2396 4951 2395 4951 2408 4952 2395 4952 2407 4952 2409 4953 2397 4953 2399 4953 2410 4954 2407 4954 2397 4954 2409 4955 2410 4955 2397 4955 2411 4956 2399 4956 2398 4956 2411 4957 2409 4957 2399 4957 2412 4958 2398 4958 2400 4958 2412 4959 2411 4959 2398 4959 2413 4960 2400 4960 2401 4960 2413 4961 2412 4961 2400 4961 2414 4962 2401 4962 2402 4962 2414 4963 2413 4963 2401 4963 2415 4964 2402 4964 2405 4964 2415 4965 2414 4965 2402 4965 2416 4966 2405 4966 2406 4966 2415 4967 2405 4967 2417 4967 2416 4968 2417 4968 2405 4968 2418 4969 2406 4969 2404 4969 2418 4970 2416 4970 2406 4970 2419 4971 2404 4971 2403 4971 2419 4972 2418 4972 2404 4972 2420 4973 2403 4973 2396 4973 2420 4974 2419 4974 2403 4974 2408 4975 2420 4975 2396 4975 2408 4976 2407 4976 2410 4976 2421 4977 2410 4977 2409 4977 2422 4978 2410 4978 2421 4978 2422 4979 2408 4979 2410 4979 2423 4980 2409 4980 2411 4980 2423 4981 2421 4981 2409 4981 2424 4982 2411 4982 2412 4982 2424 4983 2423 4983 2411 4983 2425 4984 2412 4984 2413 4984 2425 4985 2424 4985 2412 4985 2426 4986 2413 4986 2414 4986 2426 4987 2425 4987 2413 4987 2415 4988 2417 4988 2414 4988 2427 4989 2414 4989 2417 4989 2427 4990 2426 4990 2414 4990 2428 4991 2427 4991 2417 4991 2416 4992 2428 4992 2417 4992 2429 4993 2421 4993 2423 4993 2430 4994 2421 4994 2429 4994 2422 4995 2421 4995 2430 4995 2431 4996 2423 4996 2424 4996 2432 4997 2429 4997 2423 4997 2431 4998 2432 4998 2423 4998 2433 4999 2424 4999 2425 4999 2433 5000 2431 5000 2424 5000 2434 5001 2425 5001 2426 5001 2434 5002 2433 5002 2425 5002 2435 5003 2426 5003 2427 5003 2435 5004 2434 5004 2426 5004 2436 5005 2427 5005 2428 5005 2436 5006 2435 5006 2427 5006 2437 5007 2436 5007 2428 5007 2438 5008 2437 5008 2428 5008 2438 5009 2428 5009 2416 5009 2430 5010 2429 5010 2432 5010 2439 5011 2432 5011 2431 5011 2440 5012 2430 5012 2432 5012 2440 5013 2432 5013 2439 5013 2441 5014 2431 5014 2433 5014 2441 5015 2439 5015 2431 5015 2442 5016 2433 5016 2434 5016 2442 5017 2441 5017 2433 5017 2443 5018 2434 5018 2435 5018 2444 5019 2442 5019 2434 5019 2443 5020 2444 5020 2434 5020 2443 5021 2435 5021 2436 5021 2437 5022 2445 5022 2436 5022 2446 5023 2436 5023 2445 5023 2446 5024 2443 5024 2436 5024 2438 5025 2445 5025 2437 5025 2447 5026 2445 5026 2448 5026 2438 5027 2448 5027 2445 5027 2447 5028 2446 5028 2445 5028 2449 5029 2450 5029 2430 5029 2422 5030 2430 5030 2450 5030 2440 5031 2449 5031 2430 5031 2449 5032 2451 5032 2450 5032 2452 5033 2450 5033 2451 5033 2422 5034 2450 5034 2452 5034 2453 5035 2454 5035 2451 5035 2455 5036 2451 5036 2454 5036 2456 5037 2453 5037 2451 5037 2449 5038 2456 5038 2451 5038 2452 5039 2451 5039 2455 5039 2457 5040 2448 5040 2454 5040 2458 5041 2454 5041 2448 5041 2453 5042 2457 5042 2454 5042 2455 5043 2454 5043 2458 5043 2457 5044 2447 5044 2448 5044 2458 5045 2448 5045 2438 5045 2459 5046 2439 5046 2441 5046 2460 5047 2440 5047 2439 5047 2460 5048 2439 5048 2459 5048 2461 5049 2441 5049 2442 5049 2461 5050 2459 5050 2441 5050 2444 5051 2462 5051 2442 5051 2463 5052 2442 5052 2462 5052 2463 5053 2461 5053 2442 5053 2464 5054 2462 5054 2444 5054 2464 5055 2463 5055 2462 5055 2465 5056 2444 5056 2443 5056 2465 5057 2464 5057 2444 5057 2466 5058 2443 5058 2446 5058 2466 5059 2465 5059 2443 5059 2467 5060 2446 5060 2447 5060 2467 5061 2466 5061 2446 5061 2468 5062 2447 5062 2457 5062 2468 5063 2467 5063 2447 5063 2469 5064 2457 5064 2453 5064 2469 5065 2468 5065 2457 5065 2456 5066 2470 5066 2453 5066 2471 5067 2453 5067 2470 5067 2469 5068 2453 5068 2471 5068 2472 5069 2470 5069 2456 5069 2471 5070 2470 5070 2472 5070 2473 5071 2456 5071 2449 5071 2472 5072 2456 5072 2473 5072 2474 5073 2449 5073 2440 5073 2473 5074 2449 5074 2474 5074 2474 5075 2440 5075 2460 5075 2475 5076 2459 5076 2461 5076 2476 5077 2460 5077 2459 5077 2476 5078 2459 5078 2475 5078 2477 5079 2461 5079 2463 5079 2477 5080 2475 5080 2461 5080 2478 5081 2463 5081 2464 5081 2478 5082 2477 5082 2463 5082 2479 5083 2464 5083 2465 5083 2480 5084 2478 5084 2464 5084 2479 5085 2480 5085 2464 5085 2481 5086 2465 5086 2466 5086 2481 5087 2479 5087 2465 5087 2482 5088 2466 5088 2467 5088 2482 5089 2481 5089 2466 5089 2482 5090 2467 5090 2468 5090 2483 5091 2468 5091 2469 5091 2483 5092 2482 5092 2468 5092 2476 5093 2474 5093 2460 5093 2484 5094 2473 5094 2474 5094 2476 5095 2484 5095 2474 5095 2485 5096 2472 5096 2473 5096 2484 5097 2485 5097 2473 5097 2486 5098 2471 5098 2472 5098 2487 5099 2486 5099 2472 5099 2485 5100 2487 5100 2472 5100 2488 5101 2469 5101 2471 5101 2486 5102 2488 5102 2471 5102 2488 5103 2483 5103 2469 5103 2489 5104 2475 5104 2477 5104 2490 5105 2476 5105 2475 5105 2490 5106 2475 5106 2489 5106 2491 5107 2477 5107 2478 5107 2491 5108 2489 5108 2477 5108 2492 5109 2478 5109 2480 5109 2492 5110 2491 5110 2478 5110 2493 5111 2480 5111 2479 5111 2493 5112 2492 5112 2480 5112 2494 5113 2479 5113 2481 5113 2494 5114 2493 5114 2479 5114 2495 5115 2481 5115 2482 5115 2495 5116 2494 5116 2481 5116 2496 5117 2482 5117 2483 5117 2496 5118 2495 5118 2482 5118 2497 5119 2483 5119 2488 5119 2497 5120 2496 5120 2483 5120 2498 5121 2488 5121 2486 5121 2498 5122 2497 5122 2488 5122 2499 5123 2486 5123 2487 5123 2498 5124 2486 5124 2499 5124 2500 5125 2487 5125 2485 5125 2499 5126 2487 5126 2500 5126 2501 5127 2485 5127 2484 5127 2500 5128 2485 5128 2501 5128 2502 5129 2484 5129 2476 5129 2501 5130 2484 5130 2502 5130 2502 5131 2476 5131 2490 5131 2503 5132 2489 5132 2491 5132 2504 5133 2490 5133 2489 5133 2504 5134 2489 5134 2503 5134 2505 5135 2491 5135 2492 5135 2505 5136 2503 5136 2491 5136 2506 5137 2492 5137 2493 5137 2507 5138 2505 5138 2492 5138 2508 5139 2507 5139 2492 5139 2506 5140 2509 5140 2492 5140 2510 5141 2492 5141 2509 5141 2510 5142 2508 5142 2492 5142 2511 5143 2493 5143 2494 5143 2511 5144 2512 5144 2493 5144 2513 5145 2493 5145 2512 5145 2513 5146 2506 5146 2493 5146 2514 5147 2494 5147 2495 5147 2514 5148 2511 5148 2494 5148 2515 5149 2495 5149 2496 5149 2516 5150 2514 5150 2495 5150 2517 5151 2516 5151 2495 5151 2518 5152 2517 5152 2495 5152 2515 5153 2518 5153 2495 5153 2519 5154 2496 5154 2497 5154 2519 5155 2520 5155 2496 5155 2521 5156 2496 5156 2520 5156 2521 5157 2515 5157 2496 5157 2522 5158 2497 5158 2498 5158 2522 5159 2519 5159 2497 5159 2523 5160 2502 5160 2490 5160 2504 5161 2524 5161 2490 5161 2525 5162 2490 5162 2524 5162 2525 5163 2523 5163 2490 5163 2526 5164 2501 5164 2502 5164 2527 5165 2526 5165 2502 5165 2523 5166 2528 5166 2502 5166 2529 5167 2502 5167 2528 5167 2529 5168 2527 5168 2502 5168 2530 5169 2500 5169 2501 5169 2526 5170 2530 5170 2501 5170 2531 5171 2499 5171 2500 5171 2530 5172 2532 5172 2500 5172 2533 5173 2500 5173 2532 5173 2533 5174 2531 5174 2500 5174 2534 5175 2498 5175 2499 5175 2535 5176 2534 5176 2499 5176 2536 5177 2535 5177 2499 5177 2537 5178 2536 5178 2499 5178 2538 5179 2537 5179 2499 5179 2531 5180 2538 5180 2499 5180 2534 5181 2522 5181 2498 5181 2539 5182 2503 5182 2505 5182 2540 5183 2504 5183 2503 5183 2540 5184 2503 5184 2539 5184 2541 5185 2505 5185 2507 5185 2542 5186 2539 5186 2505 5186 2541 5187 2542 5187 2505 5187 2543 5188 2512 5188 2507 5188 2541 5189 2507 5189 2512 5189 2544 5190 2543 5190 2507 5190 2545 5191 2544 5191 2507 5191 2508 5192 2545 5192 2507 5192 2511 5193 2546 5193 2512 5193 2547 5194 2512 5194 2546 5194 2543 5195 2513 5195 2512 5195 2547 5196 2541 5196 2512 5196 2548 5197 2546 5197 2511 5197 2548 5198 2547 5198 2546 5198 2549 5199 2511 5199 2514 5199 2549 5200 2548 5200 2511 5200 2550 5201 2520 5201 2514 5201 2551 5202 2514 5202 2520 5202 2516 5203 2550 5203 2514 5203 2551 5204 2549 5204 2514 5204 2551 5205 2520 5205 2519 5205 2550 5206 2552 5206 2520 5206 2553 5207 2520 5207 2552 5207 2553 5208 2521 5208 2520 5208 2554 5209 2519 5209 2522 5209 2554 5210 2551 5210 2519 5210 2555 5211 2522 5211 2534 5211 2555 5212 2554 5212 2522 5212 2556 5213 2534 5213 2535 5213 2555 5214 2534 5214 2557 5214 2556 5215 2557 5215 2534 5215 2558 5216 2532 5216 2535 5216 2556 5217 2535 5217 2532 5217 2559 5218 2560 5218 2535 5218 2558 5219 2535 5219 2560 5219 2536 5220 2559 5220 2535 5220 2530 5221 2561 5221 2532 5221 2562 5222 2532 5222 2561 5222 2558 5223 2533 5223 2532 5223 2562 5224 2556 5224 2532 5224 2563 5225 2561 5225 2530 5225 2563 5226 2562 5226 2561 5226 2564 5227 2530 5227 2526 5227 2564 5228 2563 5228 2530 5228 2565 5229 2524 5229 2526 5229 2566 5230 2526 5230 2524 5230 2527 5231 2565 5231 2526 5231 2566 5232 2564 5232 2526 5232 2566 5233 2524 5233 2504 5233 2567 5234 2525 5234 2524 5234 2568 5235 2567 5235 2524 5235 2565 5236 2568 5236 2524 5236 2540 5237 2566 5237 2504 5237 2569 5238 2528 5238 2523 5238 2570 5239 2529 5239 2528 5239 2570 5240 2528 5240 2569 5240 2571 5241 2523 5241 2525 5241 2571 5242 2569 5242 2523 5242 2572 5243 2525 5243 2567 5243 2571 5244 2525 5244 2572 5244 2573 5245 2567 5245 2568 5245 2572 5246 2567 5246 2573 5246 2574 5247 2568 5247 2565 5247 2573 5248 2568 5248 2574 5248 2575 5249 2565 5249 2527 5249 2574 5250 2565 5250 2575 5250 2576 5251 2527 5251 2529 5251 2575 5252 2527 5252 2576 5252 2576 5253 2529 5253 2570 5253 2577 5254 2560 5254 2559 5254 2578 5255 2558 5255 2560 5255 2578 5256 2560 5256 2577 5256 2579 5257 2559 5257 2536 5257 2579 5258 2577 5258 2559 5258 2580 5259 2536 5259 2537 5259 2579 5260 2536 5260 2580 5260 2581 5261 2537 5261 2538 5261 2580 5262 2537 5262 2581 5262 2582 5263 2538 5263 2531 5263 2581 5264 2538 5264 2582 5264 2583 5265 2531 5265 2533 5265 2582 5266 2531 5266 2583 5266 2584 5267 2533 5267 2558 5267 2583 5268 2533 5268 2584 5268 2584 5269 2558 5269 2578 5269 2585 5270 2552 5270 2550 5270 2586 5271 2553 5271 2552 5271 2586 5272 2552 5272 2585 5272 2587 5273 2550 5273 2516 5273 2587 5274 2585 5274 2550 5274 2588 5275 2516 5275 2517 5275 2587 5276 2516 5276 2588 5276 2589 5277 2517 5277 2518 5277 2588 5278 2517 5278 2589 5278 2590 5279 2518 5279 2515 5279 2589 5280 2518 5280 2590 5280 2591 5281 2515 5281 2521 5281 2590 5282 2515 5282 2591 5282 2592 5283 2521 5283 2553 5283 2591 5284 2521 5284 2592 5284 2592 5285 2553 5285 2586 5285 2593 5286 2509 5286 2506 5286 2594 5287 2510 5287 2509 5287 2594 5288 2509 5288 2593 5288 2595 5289 2506 5289 2513 5289 2595 5290 2593 5290 2506 5290 2596 5291 2513 5291 2543 5291 2595 5292 2513 5292 2596 5292 2597 5293 2543 5293 2544 5293 2596 5294 2543 5294 2597 5294 2598 5295 2544 5295 2545 5295 2597 5296 2544 5296 2598 5296 2599 5297 2545 5297 2508 5297 2598 5298 2545 5298 2599 5298 2600 5299 2508 5299 2510 5299 2599 5300 2508 5300 2600 5300 2600 5301 2510 5301 2594 5301 2540 5302 2539 5302 2542 5302 2601 5303 2542 5303 2541 5303 2602 5304 2542 5304 2601 5304 2602 5305 2540 5305 2542 5305 2603 5306 2541 5306 2547 5306 2603 5307 2601 5307 2541 5307 2604 5308 2547 5308 2548 5308 2604 5309 2603 5309 2547 5309 2605 5310 2548 5310 2549 5310 2605 5311 2604 5311 2548 5311 2606 5312 2549 5312 2551 5312 2606 5313 2605 5313 2549 5313 2607 5314 2551 5314 2554 5314 2607 5315 2606 5315 2551 5315 2555 5316 2557 5316 2554 5316 2608 5317 2554 5317 2557 5317 2608 5318 2607 5318 2554 5318 2609 5319 2608 5319 2557 5319 2556 5320 2609 5320 2557 5320 2610 5321 2601 5321 2603 5321 2611 5322 2601 5322 2610 5322 2612 5323 2602 5323 2601 5323 2611 5324 2613 5324 2601 5324 2612 5325 2601 5325 2613 5325 2614 5326 2603 5326 2604 5326 2615 5327 2610 5327 2603 5327 2616 5328 2615 5328 2603 5328 2617 5329 2616 5329 2603 5329 2618 5330 2617 5330 2603 5330 2619 5331 2618 5331 2603 5331 2614 5332 2619 5332 2603 5332 2620 5333 2604 5333 2605 5333 2620 5334 2614 5334 2604 5334 2621 5335 2605 5335 2606 5335 2622 5336 2620 5336 2605 5336 2605 5337 2621 5337 2623 5337 2624 5338 2606 5338 2607 5338 2625 5339 2621 5339 2606 5339 2626 5340 2625 5340 2606 5340 2627 5341 2626 5341 2606 5341 2628 5342 2627 5342 2606 5342 2624 5343 2628 5343 2606 5343 2629 5344 2607 5344 2608 5344 2629 5345 2624 5345 2607 5345 2630 5346 2608 5346 2609 5346 2630 5347 2629 5347 2608 5347 2631 5348 2630 5348 2609 5348 2632 5349 2631 5349 2609 5349 2633 5350 2632 5350 2609 5350 2634 5351 2633 5351 2609 5351 2634 5352 2609 5352 2556 5352 2635 5353 2610 5353 2615 5353 2635 5354 2611 5354 2610 5354 2635 5355 2615 5355 2616 5355 2636 5356 2616 5356 2617 5356 2637 5357 2616 5357 2636 5357 2635 5358 2616 5358 2637 5358 2636 5359 2617 5359 2618 5359 2619 5360 2638 5360 2639 5360 2639 5361 2618 5361 2619 5361 2636 5362 2618 5362 2639 5362 2640 5363 2619 5363 2614 5363 2641 5364 2638 5364 2619 5364 2640 5365 2641 5365 2619 5365 2642 5366 2614 5366 2620 5366 2642 5367 2640 5367 2614 5367 2643 5368 2620 5368 2622 5368 2643 5369 2642 5369 2620 5369 2623 5370 2622 5370 2605 5370 2644 5371 2622 5371 2623 5371 2645 5372 2643 5372 2622 5372 2644 5373 2645 5373 2622 5373 2644 5374 2623 5374 2621 5374 2644 5375 2621 5375 2625 5375 2644 5376 2625 5376 2626 5376 2646 5377 2626 5377 2627 5377 2647 5378 2626 5378 2646 5378 2644 5379 2626 5379 2647 5379 2646 5380 2627 5380 2628 5380 2648 5381 2628 5381 2624 5381 2648 5382 2649 5382 2650 5382 2650 5383 2628 5383 2648 5383 2646 5384 2628 5384 2650 5384 2651 5385 2624 5385 2629 5385 2651 5386 2648 5386 2624 5386 2652 5387 2629 5387 2630 5387 2652 5388 2651 5388 2629 5388 2630 5389 2631 5389 2653 5389 2652 5390 2630 5390 2654 5390 2653 5391 2654 5391 2630 5391 2655 5392 2654 5392 2653 5392 2656 5393 2652 5393 2654 5393 2655 5394 2656 5394 2654 5394 2655 5395 2653 5395 2631 5395 2655 5396 2631 5396 2632 5396 2655 5397 2632 5397 2633 5397 2657 5398 2633 5398 2634 5398 2655 5399 2633 5399 2657 5399 2641 5400 2658 5400 2638 5400 2636 5401 2638 5401 2658 5401 2636 5402 2639 5402 2638 5402 2641 5403 2659 5403 2658 5403 2636 5404 2658 5404 2659 5404 2660 5405 2659 5405 2641 5405 2661 5406 2659 5406 2660 5406 2636 5407 2659 5407 2661 5407 2251 5408 2641 5408 2640 5408 2250 5409 2641 5409 2251 5409 2250 5410 2660 5410 2641 5410 2247 5411 2640 5411 2642 5411 2247 5412 2251 5412 2640 5412 2302 5413 2642 5413 2643 5413 2302 5414 2247 5414 2642 5414 2649 5415 2648 5415 2643 5415 2299 5416 2643 5416 2648 5416 2662 5417 2649 5417 2643 5417 2663 5418 2662 5418 2643 5418 2645 5419 2663 5419 2643 5419 2299 5420 2302 5420 2643 5420 2296 5421 2648 5421 2651 5421 2296 5422 2299 5422 2648 5422 2293 5423 2651 5423 2652 5423 2293 5424 2296 5424 2651 5424 2664 5425 2665 5425 2652 5425 2284 5426 2652 5426 2665 5426 2666 5427 2664 5427 2652 5427 2667 5428 2666 5428 2652 5428 2656 5429 2667 5429 2652 5429 2284 5430 2293 5430 2652 5430 2668 5431 2665 5431 2664 5431 2285 5432 2284 5432 2665 5432 2669 5433 2285 5433 2665 5433 2670 5434 2671 5434 2665 5434 2669 5435 2665 5435 2671 5435 2668 5436 2670 5436 2665 5436 2672 5437 2664 5437 2666 5437 2672 5438 2668 5438 2664 5438 2672 5439 2666 5439 2667 5439 2655 5440 2667 5440 2656 5440 2673 5441 2672 5441 2667 5441 2673 5442 2667 5442 2655 5442 2646 5443 2650 5443 2649 5443 2646 5444 2649 5444 2662 5444 2646 5445 2662 5445 2663 5445 2644 5446 2663 5446 2645 5446 2674 5447 2646 5447 2663 5447 2674 5448 2663 5448 2644 5448 2244 5449 2251 5449 2247 5449 2278 5450 2281 5450 2285 5450 2278 5451 2285 5451 2669 5451 2438 5452 2416 5452 2418 5452 2458 5453 2418 5453 2419 5453 2458 5454 2438 5454 2418 5454 2455 5455 2419 5455 2420 5455 2455 5456 2458 5456 2419 5456 2452 5457 2420 5457 2408 5457 2452 5458 2455 5458 2420 5458 2422 5459 2452 5459 2408 5459 2634 5460 2556 5460 2562 5460 2675 5461 2562 5461 2563 5461 2675 5462 2634 5462 2562 5462 2676 5463 2563 5463 2564 5463 2676 5464 2675 5464 2563 5464 2677 5465 2564 5465 2566 5465 2677 5466 2676 5466 2564 5466 2678 5467 2566 5467 2540 5467 2678 5468 2677 5468 2566 5468 2602 5469 2678 5469 2540 5469 2679 5470 2634 5470 2675 5470 2680 5471 2657 5471 2634 5471 2681 5472 2680 5472 2634 5472 2682 5473 2681 5473 2634 5473 2671 5474 2682 5474 2634 5474 2679 5475 2671 5475 2634 5475 2683 5476 2675 5476 2676 5476 2683 5477 2679 5477 2675 5477 2684 5478 2676 5478 2677 5478 2685 5479 2683 5479 2676 5479 2676 5480 2684 5480 2686 5480 2687 5481 2677 5481 2678 5481 2688 5482 2684 5482 2677 5482 2689 5483 2688 5483 2677 5483 2690 5484 2689 5484 2677 5484 2691 5485 2690 5485 2677 5485 2687 5486 2691 5486 2677 5486 2692 5487 2678 5487 2602 5487 2692 5488 2687 5488 2678 5488 2612 5489 2692 5489 2602 5489 2693 5490 2694 5490 2612 5490 2635 5491 2694 5491 2693 5491 2612 5492 2613 5492 2693 5492 2660 5493 2612 5493 2694 5493 2695 5494 2660 5494 2694 5494 2635 5495 2695 5495 2694 5495 2635 5496 2693 5496 2613 5496 2635 5497 2613 5497 2611 5497 2655 5498 2657 5498 2680 5498 2672 5499 2680 5499 2681 5499 2696 5500 2680 5500 2672 5500 2655 5501 2680 5501 2696 5501 2672 5502 2681 5502 2682 5502 2671 5503 2670 5503 2697 5503 2697 5504 2682 5504 2671 5504 2672 5505 2682 5505 2697 5505 2669 5506 2671 5506 2679 5506 2698 5507 2679 5507 2683 5507 2698 5508 2669 5508 2679 5508 2699 5509 2683 5509 2685 5509 2699 5510 2698 5510 2683 5510 2686 5511 2685 5511 2676 5511 2700 5512 2685 5512 2686 5512 2699 5513 2685 5513 2701 5513 2700 5514 2701 5514 2685 5514 2700 5515 2686 5515 2684 5515 2700 5516 2684 5516 2688 5516 2700 5517 2688 5517 2689 5517 2702 5518 2689 5518 2690 5518 2703 5519 2689 5519 2702 5519 2700 5520 2689 5520 2703 5520 2702 5521 2690 5521 2691 5521 2704 5522 2691 5522 2687 5522 2705 5523 2691 5523 2704 5523 2702 5524 2691 5524 2705 5524 2704 5525 2706 5525 2705 5525 2707 5526 2687 5526 2692 5526 2707 5527 2704 5527 2687 5527 2660 5528 2692 5528 2612 5528 2660 5529 2707 5529 2692 5529 2702 5530 2705 5530 2706 5530 2699 5531 2708 5531 2706 5531 2702 5532 2706 5532 2708 5532 2704 5533 2699 5533 2706 5533 2699 5534 2709 5534 2708 5534 2702 5535 2708 5535 2709 5535 2699 5536 2701 5536 2709 5536 2700 5537 2709 5537 2701 5537 2702 5538 2709 5538 2710 5538 2700 5539 2710 5539 2709 5539 2672 5540 2697 5540 2670 5540 2672 5541 2670 5541 2668 5541 2278 5542 2669 5542 2698 5542 2268 5543 2698 5543 2699 5543 2268 5544 2278 5544 2698 5544 2265 5545 2699 5545 2704 5545 2265 5546 2268 5546 2699 5546 2262 5547 2704 5547 2707 5547 2262 5548 2265 5548 2704 5548 2259 5549 2707 5549 2660 5549 2259 5550 2262 5550 2707 5550 2711 5551 2661 5551 2660 5551 2695 5552 2711 5552 2660 5552 2250 5553 2259 5553 2660 5553 2636 5554 2661 5554 2711 5554 2635 5555 2711 5555 2695 5555 2636 5556 2711 5556 2712 5556 2635 5557 2712 5557 2711 5557 2703 5558 2702 5558 2710 5558 2700 5559 2703 5559 2710 5559 2674 5560 2647 5560 2646 5560 2674 5561 2644 5561 2647 5561 2673 5562 2696 5562 2672 5562 2673 5563 2655 5563 2696 5563 2637 5564 2636 5564 2712 5564 2635 5565 2637 5565 2712 5565 2341 5566 2336 5566 2335 5566 2340 5567 2341 5567 2335 5567 2337 5568 2340 5568 2335 5568 2341 5569 2342 5569 2336 5569 2337 5570 2339 5570 2340 5570 2337 5571 2338 5571 2339 5571 2349 5572 2344 5572 2343 5572 2348 5573 2349 5573 2343 5573 2345 5574 2348 5574 2343 5574 2349 5575 2350 5575 2344 5575 2345 5576 2347 5576 2348 5576 2345 5577 2346 5577 2347 5577 2357 5578 2352 5578 2351 5578 2356 5579 2357 5579 2351 5579 2353 5580 2356 5580 2351 5580 2357 5581 2358 5581 2352 5581 2353 5582 2355 5582 2356 5582 2353 5583 2354 5583 2355 5583 2365 5584 2360 5584 2359 5584 2364 5585 2365 5585 2359 5585 2361 5586 2364 5586 2359 5586 2365 5587 2366 5587 2360 5587 2361 5588 2363 5588 2364 5588 2361 5589 2362 5589 2363 5589 2575 5590 2570 5590 2569 5590 2574 5591 2575 5591 2569 5591 2571 5592 2574 5592 2569 5592 2575 5593 2576 5593 2570 5593 2571 5594 2573 5594 2574 5594 2571 5595 2572 5595 2573 5595 2583 5596 2578 5596 2577 5596 2582 5597 2583 5597 2577 5597 2579 5598 2582 5598 2577 5598 2583 5599 2584 5599 2578 5599 2579 5600 2581 5600 2582 5600 2579 5601 2580 5601 2581 5601 2591 5602 2586 5602 2585 5602 2590 5603 2591 5603 2585 5603 2587 5604 2590 5604 2585 5604 2591 5605 2592 5605 2586 5605 2587 5606 2589 5606 2590 5606 2587 5607 2588 5607 2589 5607 2599 5608 2594 5608 2593 5608 2598 5609 2599 5609 2593 5609 2595 5610 2598 5610 2593 5610 2599 5611 2600 5611 2594 5611 2595 5612 2597 5612 2598 5612 2595 5613 2596 5613 2597 5613 2713 5614 2714 5614 2715 5614 2716 5615 2715 5615 2714 5615 2717 5616 2713 5616 2715 5616 2717 5617 2715 5617 2716 5617 2718 5618 2719 5618 2714 5618 2720 5619 2714 5619 2719 5619 2721 5620 2718 5620 2714 5620 2722 5621 2721 5621 2714 5621 2723 5622 2722 5622 2714 5622 2724 5623 2723 5623 2714 5623 2713 5624 2724 5624 2714 5624 2720 5625 2716 5625 2714 5625 2718 5626 2725 5626 2719 5626 2726 5627 2719 5627 2725 5627 2726 5628 2720 5628 2719 5628 2727 5629 2728 5629 2725 5629 2729 5630 2725 5630 2728 5630 2718 5631 2727 5631 2725 5631 2726 5632 2725 5632 2729 5632 2727 5633 2730 5633 2728 5633 2731 5634 2728 5634 2730 5634 2731 5635 2729 5635 2728 5635 2727 5636 2732 5636 2730 5636 2733 5637 2730 5637 2732 5637 2733 5638 2731 5638 2730 5638 2727 5639 2734 5639 2732 5639 2735 5640 2732 5640 2734 5640 2733 5641 2732 5641 2735 5641 2727 5642 2736 5642 2734 5642 2737 5643 2734 5643 2736 5643 2735 5644 2734 5644 2737 5644 2727 5645 2738 5645 2736 5645 2739 5646 2736 5646 2738 5646 2739 5647 2737 5647 2736 5647 2727 5648 2740 5648 2738 5648 2741 5649 2738 5649 2740 5649 2739 5650 2738 5650 2741 5650 2727 5651 2742 5651 2740 5651 2743 5652 2740 5652 2742 5652 2741 5653 2740 5653 2743 5653 2727 5654 2744 5654 2742 5654 2745 5655 2742 5655 2744 5655 2745 5656 2743 5656 2742 5656 2746 5657 2744 5657 2727 5657 2745 5658 2744 5658 2746 5658 2747 5659 2727 5659 2718 5659 2746 5660 2727 5660 2748 5660 2749 5661 2748 5661 2727 5661 2749 5662 2727 5662 2747 5662 2750 5663 2718 5663 2721 5663 2747 5664 2718 5664 2750 5664 2751 5665 2721 5665 2722 5665 2750 5666 2721 5666 2751 5666 2752 5667 2722 5667 2723 5667 2751 5668 2722 5668 2752 5668 2753 5669 2723 5669 2724 5669 2752 5670 2723 5670 2753 5670 2754 5671 2724 5671 2713 5671 2753 5672 2724 5672 2754 5672 2717 5673 2754 5673 2713 5673 2755 5674 2756 5674 2757 5674 2749 5675 2757 5675 2756 5675 2758 5676 2755 5676 2757 5676 2759 5677 2758 5677 2757 5677 2759 5678 2757 5678 2760 5678 2747 5679 2760 5679 2757 5679 2749 5680 2747 5680 2757 5680 2761 5681 2756 5681 2755 5681 2749 5682 2756 5682 2748 5682 2762 5683 2748 5683 2756 5683 2762 5684 2756 5684 2761 5684 2763 5685 2755 5685 2758 5685 2761 5686 2755 5686 2764 5686 2765 5687 2764 5687 2755 5687 2765 5688 2755 5688 2763 5688 2763 5689 2758 5689 2759 5689 2766 5690 2767 5690 2768 5690 2769 5691 2768 5691 2767 5691 2770 5692 2766 5692 2768 5692 2771 5693 2768 5693 2769 5693 2770 5694 2768 5694 2771 5694 2772 5695 2773 5695 2767 5695 2765 5696 2767 5696 2773 5696 2774 5697 2772 5697 2767 5697 2775 5698 2774 5698 2767 5698 2766 5699 2775 5699 2767 5699 2763 5700 2769 5700 2767 5700 2765 5701 2763 5701 2767 5701 2776 5702 2773 5702 2772 5702 2765 5703 2773 5703 2764 5703 2777 5704 2764 5704 2773 5704 2777 5705 2773 5705 2776 5705 2778 5706 2779 5706 2772 5706 2780 5707 2772 5707 2779 5707 2781 5708 2778 5708 2772 5708 2782 5709 2781 5709 2772 5709 2783 5710 2782 5710 2772 5710 2784 5711 2783 5711 2772 5711 2785 5712 2784 5712 2772 5712 2774 5713 2785 5713 2772 5713 2776 5714 2772 5714 2780 5714 2786 5715 2779 5715 2778 5715 2780 5716 2779 5716 2787 5716 2788 5717 2787 5717 2779 5717 2788 5718 2779 5718 2786 5718 2789 5719 2778 5719 2781 5719 2786 5720 2778 5720 2789 5720 2790 5721 2781 5721 2782 5721 2789 5722 2781 5722 2790 5722 2791 5723 2782 5723 2783 5723 2790 5724 2782 5724 2791 5724 2784 5725 2792 5725 2783 5725 2793 5726 2783 5726 2792 5726 2791 5727 2783 5727 2793 5727 2784 5728 2794 5728 2792 5728 2795 5729 2792 5729 2794 5729 2793 5730 2792 5730 2795 5730 2796 5731 2797 5731 2794 5731 2798 5732 2794 5732 2797 5732 2799 5733 2796 5733 2794 5733 2784 5734 2799 5734 2794 5734 2795 5735 2794 5735 2798 5735 2796 5736 2800 5736 2797 5736 2801 5737 2797 5737 2800 5737 2798 5738 2797 5738 2801 5738 2802 5739 2800 5739 2796 5739 2802 5740 2801 5740 2800 5740 2803 5741 2804 5741 2796 5741 2805 5742 2796 5742 2804 5742 2806 5743 2803 5743 2796 5743 2807 5744 2806 5744 2796 5744 2808 5745 2807 5745 2796 5745 2799 5746 2808 5746 2796 5746 2802 5747 2796 5747 2809 5747 2810 5748 2809 5748 2796 5748 2805 5749 2810 5749 2796 5749 2811 5750 2804 5750 2803 5750 2812 5751 2804 5751 2811 5751 2812 5752 2805 5752 2804 5752 2813 5753 2803 5753 2806 5753 2811 5754 2803 5754 2813 5754 2814 5755 2806 5755 2807 5755 2813 5756 2806 5756 2814 5756 2815 5757 2807 5757 2808 5757 2815 5758 2814 5758 2807 5758 2816 5759 2808 5759 2799 5759 2816 5760 2815 5760 2808 5760 2817 5761 2818 5761 2799 5761 2819 5762 2799 5762 2818 5762 2784 5763 2817 5763 2799 5763 2816 5764 2799 5764 2819 5764 2820 5765 2821 5765 2818 5765 2822 5766 2818 5766 2821 5766 2817 5767 2820 5767 2818 5767 2819 5768 2818 5768 2822 5768 2823 5769 2824 5769 2821 5769 2825 5770 2821 5770 2824 5770 2820 5771 2823 5771 2821 5771 2822 5772 2821 5772 2825 5772 2826 5773 2824 5773 2823 5773 2825 5774 2824 5774 2827 5774 2828 5775 2827 5775 2824 5775 2828 5776 2824 5776 2826 5776 2829 5777 2823 5777 2820 5777 2826 5778 2823 5778 2829 5778 2830 5779 2820 5779 2817 5779 2829 5780 2820 5780 2830 5780 2831 5781 2817 5781 2784 5781 2830 5782 2817 5782 2831 5782 2832 5783 2784 5783 2785 5783 2831 5784 2784 5784 2832 5784 2833 5785 2785 5785 2774 5785 2832 5786 2785 5786 2833 5786 2834 5787 2774 5787 2775 5787 2833 5788 2774 5788 2834 5788 2835 5789 2775 5789 2766 5789 2834 5790 2775 5790 2835 5790 2770 5791 2835 5791 2766 5791 2836 5792 2837 5792 2838 5792 2839 5793 2838 5793 2837 5793 2840 5794 2836 5794 2838 5794 2841 5795 2840 5795 2838 5795 2841 5796 2838 5796 2842 5796 2843 5797 2842 5797 2838 5797 2843 5798 2838 5798 2839 5798 2844 5799 2837 5799 2836 5799 2845 5800 2837 5800 2844 5800 2846 5801 2839 5801 2837 5801 2846 5802 2837 5802 2845 5802 2847 5803 2836 5803 2840 5803 2844 5804 2836 5804 2848 5804 2849 5805 2848 5805 2836 5805 2849 5806 2836 5806 2847 5806 2847 5807 2840 5807 2841 5807 2850 5808 2851 5808 2852 5808 2853 5809 2852 5809 2851 5809 2854 5810 2850 5810 2852 5810 2855 5811 2854 5811 2852 5811 2855 5812 2852 5812 2853 5812 2850 5813 2856 5813 2851 5813 2857 5814 2851 5814 2856 5814 2857 5815 2853 5815 2851 5815 2850 5816 2858 5816 2856 5816 2859 5817 2856 5817 2858 5817 2859 5818 2857 5818 2856 5818 2860 5819 2858 5819 2850 5819 2859 5820 2858 5820 2860 5820 2861 5821 2862 5821 2850 5821 2849 5822 2850 5822 2862 5822 2863 5823 2861 5823 2850 5823 2864 5824 2863 5824 2850 5824 2865 5825 2864 5825 2850 5825 2866 5826 2865 5826 2850 5826 2854 5827 2866 5827 2850 5827 2860 5828 2850 5828 2867 5828 2847 5829 2867 5829 2850 5829 2849 5830 2847 5830 2850 5830 2868 5831 2869 5831 2862 5831 2870 5832 2862 5832 2869 5832 2871 5833 2868 5833 2862 5833 2861 5834 2871 5834 2862 5834 2849 5835 2862 5835 2848 5835 2872 5836 2848 5836 2862 5836 2872 5837 2862 5837 2870 5837 2868 5838 2873 5838 2869 5838 2874 5839 2869 5839 2873 5839 2870 5840 2869 5840 2874 5840 2868 5841 2875 5841 2873 5841 2876 5842 2873 5842 2875 5842 2874 5843 2873 5843 2876 5843 2868 5844 2877 5844 2875 5844 2878 5845 2875 5845 2877 5845 2876 5846 2875 5846 2878 5846 2868 5847 2879 5847 2877 5847 2880 5848 2877 5848 2879 5848 2878 5849 2877 5849 2880 5849 2868 5850 2881 5850 2879 5850 2882 5851 2879 5851 2881 5851 2882 5852 2880 5852 2879 5852 2883 5853 2881 5853 2868 5853 2882 5854 2881 5854 2883 5854 2884 5855 2868 5855 2871 5855 2884 5856 2883 5856 2868 5856 2885 5857 2871 5857 2861 5857 2885 5858 2884 5858 2871 5858 2886 5859 2861 5859 2863 5859 2885 5860 2861 5860 2886 5860 2887 5861 2863 5861 2864 5861 2887 5862 2886 5862 2863 5862 2888 5863 2864 5863 2865 5863 2888 5864 2887 5864 2864 5864 2889 5865 2865 5865 2866 5865 2888 5866 2865 5866 2889 5866 2890 5867 2866 5867 2854 5867 2889 5868 2866 5868 2890 5868 2855 5869 2890 5869 2854 5869 2891 5870 2892 5870 2893 5870 2894 5871 2893 5871 2892 5871 2895 5872 2891 5872 2893 5872 2895 5873 2893 5873 2894 5873 2891 5874 2896 5874 2892 5874 2897 5875 2892 5875 2896 5875 2897 5876 2894 5876 2892 5876 2898 5877 2899 5877 2896 5877 2900 5878 2896 5878 2899 5878 2891 5879 2898 5879 2896 5879 2900 5880 2897 5880 2896 5880 2901 5881 2902 5881 2899 5881 2903 5882 2899 5882 2902 5882 2904 5883 2899 5883 2898 5883 2905 5884 2899 5884 2904 5884 2906 5885 2907 5885 2899 5885 2901 5886 2899 5886 2907 5886 2905 5887 2906 5887 2899 5887 2900 5888 2899 5888 2903 5888 2908 5889 2909 5889 2902 5889 2910 5890 2902 5890 2909 5890 2911 5891 2908 5891 2902 5891 2901 5892 2911 5892 2902 5892 2910 5893 2903 5893 2902 5893 2912 5894 2913 5894 2909 5894 2914 5895 2909 5895 2913 5895 2915 5896 2912 5896 2909 5896 2916 5897 2915 5897 2909 5897 2908 5898 2916 5898 2909 5898 2914 5899 2910 5899 2909 5899 2917 5900 2913 5900 2912 5900 2914 5901 2913 5901 2917 5901 2918 5902 2919 5902 2912 5902 2920 5903 2912 5903 2919 5903 2915 5904 2918 5904 2912 5904 2920 5905 2917 5905 2912 5905 2921 5906 2922 5906 2919 5906 2923 5907 2919 5907 2922 5907 2918 5908 2921 5908 2919 5908 2923 5909 2920 5909 2919 5909 2924 5910 2925 5910 2922 5910 2926 5911 2922 5911 2925 5911 2921 5912 2924 5912 2922 5912 2923 5913 2922 5913 2926 5913 2788 5914 2925 5914 2924 5914 2926 5915 2925 5915 2927 5915 2786 5916 2927 5916 2925 5916 2788 5917 2786 5917 2925 5917 2928 5918 2924 5918 2921 5918 2788 5919 2924 5919 2928 5919 2929 5920 2921 5920 2918 5920 2928 5921 2921 5921 2929 5921 2930 5922 2918 5922 2915 5922 2929 5923 2918 5923 2930 5923 2931 5924 2915 5924 2916 5924 2930 5925 2915 5925 2931 5925 2932 5926 2916 5926 2908 5926 2931 5927 2916 5927 2932 5927 2933 5928 2908 5928 2911 5928 2933 5929 2932 5929 2908 5929 2934 5930 2898 5930 2911 5930 2935 5931 2911 5931 2898 5931 2936 5932 2934 5932 2911 5932 2937 5933 2936 5933 2911 5933 2901 5934 2937 5934 2911 5934 2933 5935 2911 5935 2935 5935 2938 5936 2898 5936 2891 5936 2934 5937 2904 5937 2898 5937 2935 5938 2898 5938 2938 5938 2895 5939 2938 5939 2891 5939 2939 5940 2940 5940 2941 5940 2942 5941 2941 5941 2940 5941 2943 5942 2941 5942 2937 5942 2944 5943 2937 5943 2941 5943 2943 5944 2939 5944 2941 5944 2944 5945 2941 5945 2942 5945 2905 5946 2904 5946 2940 5946 2945 5947 2940 5947 2904 5947 2939 5948 2905 5948 2940 5948 2945 5949 2942 5949 2940 5949 2946 5950 2904 5950 2934 5950 2945 5951 2904 5951 2946 5951 2947 5952 2934 5952 2936 5952 2946 5953 2934 5953 2947 5953 2948 5954 2936 5954 2937 5954 2947 5955 2936 5955 2948 5955 2901 5956 2943 5956 2937 5956 2948 5957 2937 5957 2944 5957 2949 5958 2907 5958 2906 5958 2950 5959 2901 5959 2907 5959 2950 5960 2907 5960 2949 5960 2951 5961 2906 5961 2905 5961 2951 5962 2949 5962 2906 5962 2952 5963 2905 5963 2939 5963 2951 5964 2905 5964 2952 5964 2953 5965 2939 5965 2943 5965 2952 5966 2939 5966 2953 5966 2954 5967 2943 5967 2901 5967 2953 5968 2943 5968 2954 5968 2954 5969 2901 5969 2950 5969 2955 5970 2956 5970 2957 5970 2958 5971 2957 5971 2956 5971 2959 5972 2960 5972 2957 5972 2961 5973 2957 5973 2960 5973 2962 5974 2959 5974 2957 5974 2961 5975 2963 5975 2957 5975 2964 5976 2957 5976 2963 5976 2965 5977 2955 5977 2957 5977 2966 5978 2965 5978 2957 5978 2964 5979 2966 5979 2957 5979 2962 5980 2957 5980 2958 5980 2967 5981 2968 5981 2956 5981 2969 5982 2956 5982 2968 5982 2970 5983 2967 5983 2956 5983 2955 5984 2970 5984 2956 5984 2969 5985 2958 5985 2956 5985 2971 5986 2972 5986 2968 5986 2973 5987 2968 5987 2972 5987 2974 5988 2971 5988 2968 5988 2975 5989 2974 5989 2968 5989 2967 5990 2975 5990 2968 5990 2973 5991 2969 5991 2968 5991 2976 5992 2972 5992 2971 5992 2973 5993 2972 5993 2976 5993 2977 5994 2978 5994 2971 5994 2979 5995 2971 5995 2978 5995 2974 5996 2977 5996 2971 5996 2979 5997 2976 5997 2971 5997 2980 5998 2981 5998 2978 5998 2982 5999 2978 5999 2981 5999 2977 6000 2980 6000 2978 6000 2982 6001 2979 6001 2978 6001 2983 6002 2984 6002 2981 6002 2985 6003 2981 6003 2984 6003 2980 6004 2983 6004 2981 6004 2982 6005 2981 6005 2985 6005 2828 6006 2984 6006 2983 6006 2985 6007 2984 6007 2986 6007 2826 6008 2986 6008 2984 6008 2828 6009 2826 6009 2984 6009 2987 6010 2983 6010 2980 6010 2988 6011 2983 6011 2987 6011 2988 6012 2828 6012 2983 6012 2989 6013 2980 6013 2977 6013 2987 6014 2980 6014 2989 6014 2990 6015 2977 6015 2974 6015 2989 6016 2977 6016 2990 6016 2991 6017 2974 6017 2975 6017 2990 6018 2974 6018 2991 6018 2992 6019 2975 6019 2967 6019 2991 6020 2975 6020 2992 6020 2993 6021 2967 6021 2970 6021 2993 6022 2992 6022 2967 6022 2994 6023 2960 6023 2970 6023 2995 6024 2970 6024 2960 6024 2996 6025 2994 6025 2970 6025 2997 6026 2996 6026 2970 6026 2998 6027 2997 6027 2970 6027 2955 6028 2998 6028 2970 6028 2993 6029 2970 6029 2995 6029 2959 6030 2999 6030 2960 6030 3000 6031 2960 6031 2999 6031 2961 6032 2960 6032 2994 6032 2995 6033 2960 6033 3000 6033 3001 6034 3002 6034 2999 6034 3003 6035 2999 6035 3002 6035 2959 6036 3001 6036 2999 6036 3003 6037 3000 6037 2999 6037 3004 6038 3002 6038 3001 6038 3003 6039 3002 6039 3004 6039 3005 6040 3001 6040 2959 6040 3004 6041 3001 6041 3005 6041 2962 6042 3005 6042 2959 6042 3006 6043 2994 6043 2996 6043 3007 6044 2961 6044 2994 6044 3007 6045 2994 6045 3006 6045 3008 6046 2996 6046 2997 6046 3008 6047 3006 6047 2996 6047 3009 6048 3010 6048 2997 6048 3011 6049 2997 6049 3010 6049 2998 6050 3009 6050 2997 6050 3008 6051 2997 6051 3011 6051 2964 6052 2963 6052 3010 6052 3012 6053 3010 6053 2963 6053 2964 6054 3010 6054 3009 6054 3011 6055 3010 6055 3012 6055 3013 6056 2963 6056 2961 6056 3012 6057 2963 6057 3013 6057 3013 6058 2961 6058 3007 6058 3014 6059 3009 6059 2998 6059 3015 6060 2964 6060 3009 6060 3015 6061 3009 6061 3014 6061 3016 6062 2998 6062 2955 6062 3016 6063 3014 6063 2998 6063 3017 6064 2955 6064 2965 6064 3016 6065 2955 6065 3017 6065 3018 6066 2965 6066 2966 6066 3017 6067 2965 6067 3018 6067 3019 6068 2966 6068 2964 6068 3018 6069 2966 6069 3019 6069 3019 6070 2964 6070 3015 6070 2750 6071 2729 6071 2731 6071 2726 6072 2729 6072 2750 6072 2748 6073 2750 6073 2731 6073 2733 6074 2748 6074 2731 6074 2739 6075 2735 6075 2737 6075 2741 6076 2743 6076 2735 6076 2745 6077 2735 6077 2743 6077 2739 6078 2741 6078 2735 6078 2733 6079 2735 6079 2745 6079 2750 6080 2753 6080 2754 6080 2717 6081 2750 6081 2754 6081 2750 6082 2752 6082 2753 6082 2750 6083 2716 6083 2720 6083 2717 6084 2716 6084 2750 6084 2726 6085 2750 6085 2720 6085 2811 6086 2798 6086 2801 6086 2802 6087 2811 6087 2801 6087 2795 6088 2798 6088 2811 6088 2811 6089 2814 6089 2815 6089 2811 6090 2813 6090 2814 6090 2780 6091 2815 6091 2816 6091 2793 6092 2811 6092 2815 6092 2780 6093 2793 6093 2815 6093 2776 6094 2834 6094 2835 6094 2770 6095 2776 6095 2835 6095 2776 6096 2833 6096 2834 6096 2870 6097 2886 6097 2887 6097 2870 6098 2885 6098 2886 6098 2867 6099 2887 6099 2888 6099 2867 6100 2870 6100 2887 6100 2855 6101 2889 6101 2890 6101 2857 6102 2889 6102 2853 6102 2855 6103 2853 6103 2889 6103 2888 6104 2889 6104 2857 6104 2859 6105 2888 6105 2857 6105 2870 6106 2878 6106 2880 6106 2870 6107 2880 6107 2882 6107 2870 6108 2876 6108 2878 6108 2870 6109 2883 6109 2884 6109 2870 6110 2882 6110 2883 6110 2870 6111 2884 6111 2885 6111 2933 6112 2931 6112 2932 6112 2933 6113 2920 6113 2931 6113 2923 6114 2931 6114 2920 6114 2923 6115 2930 6115 2931 6115 2910 6116 2935 6116 2938 6116 2895 6117 2903 6117 2938 6117 2951 6118 2938 6118 2903 6118 2948 6119 2910 6119 2938 6119 2947 6120 2948 6120 2938 6120 2946 6121 2947 6121 2938 6121 2945 6122 2946 6122 2938 6122 2952 6123 2945 6123 2938 6123 2951 6124 2952 6124 2938 6124 2914 6125 2935 6125 2910 6125 2914 6126 2933 6126 2935 6126 2900 6127 2894 6127 2897 6127 2895 6128 2894 6128 2900 6128 2949 6129 2903 6129 2910 6129 2895 6130 2900 6130 2903 6130 2951 6131 2903 6131 2949 6131 2948 6132 2944 6132 2910 6132 2954 6133 2910 6133 2944 6133 2950 6134 2949 6134 2910 6134 2954 6135 2950 6135 2910 6135 2933 6136 2917 6136 2920 6136 2914 6137 2917 6137 2933 6137 2993 6138 2991 6138 2992 6138 2993 6139 2979 6139 2991 6139 2982 6140 2991 6140 2979 6140 2982 6141 2990 6141 2991 6141 2969 6142 2995 6142 3000 6142 3003 6143 2958 6143 3000 6143 3019 6144 3000 6144 2958 6144 3008 6145 2969 6145 3000 6145 3007 6146 3006 6146 3000 6146 3008 6147 3000 6147 3006 6147 3013 6148 3007 6148 3000 6148 3019 6149 3013 6149 3000 6149 2973 6150 2995 6150 2969 6150 2973 6151 2993 6151 2995 6151 2962 6152 3004 6152 3005 6152 2962 6153 3003 6153 3004 6153 3018 6154 2958 6154 2969 6154 2962 6155 2958 6155 3003 6155 3018 6156 3019 6156 2958 6156 3016 6157 2969 6157 3008 6157 3017 6158 3018 6158 2969 6158 3016 6159 3017 6159 2969 6159 2993 6160 2976 6160 2979 6160 2973 6161 2976 6161 2993 6161 2750 6162 2751 6162 2752 6162 2762 6163 2750 6163 2748 6163 3020 6164 2747 6164 2750 6164 3020 6165 2750 6165 2762 6165 2733 6166 2746 6166 2748 6166 2733 6167 2745 6167 2746 6167 2761 6168 2759 6168 2760 6168 3020 6169 2761 6169 2760 6169 3020 6170 2760 6170 2747 6170 2761 6171 2764 6171 2759 6171 2777 6172 2759 6172 2764 6172 3021 6173 2763 6173 2759 6173 3021 6174 2759 6174 2777 6174 3020 6175 2762 6175 2761 6175 2776 6176 2832 6176 2833 6176 2822 6177 2831 6177 2832 6177 2819 6178 2822 6178 2832 6178 2776 6179 2819 6179 2832 6179 2825 6180 2830 6180 2831 6180 2822 6181 2825 6181 2831 6181 2827 6182 2829 6182 2830 6182 2825 6183 2827 6183 2830 6183 2988 6184 2829 6184 2827 6184 3022 6185 2826 6185 2829 6185 3022 6186 2829 6186 2988 6186 2988 6187 2827 6187 2828 6187 2776 6188 2816 6188 2819 6188 2776 6189 2780 6189 2816 6189 2802 6190 2809 6190 2811 6190 3023 6191 2811 6191 2809 6191 2793 6192 2795 6192 2811 6192 2812 6193 2811 6193 3023 6193 3023 6194 2809 6194 2810 6194 2787 6195 2791 6195 2793 6195 2780 6196 2787 6196 2793 6196 2787 6197 2790 6197 2791 6197 2787 6198 2789 6198 2790 6198 3024 6199 2789 6199 2787 6199 3025 6200 2786 6200 2789 6200 3025 6201 2789 6201 3024 6201 3024 6202 2787 6202 2788 6202 2771 6203 2769 6203 2776 6203 3021 6204 2776 6204 2769 6204 2770 6205 2771 6205 2776 6205 3021 6206 2777 6206 2776 6206 3021 6207 2769 6207 2763 6207 2844 6208 2841 6208 2842 6208 3026 6209 2844 6209 2842 6209 3026 6210 2842 6210 2843 6210 2844 6211 2848 6211 2841 6211 2872 6212 2841 6212 2848 6212 3027 6213 2847 6213 2841 6213 3027 6214 2841 6214 2872 6214 2845 6215 2844 6215 3026 6215 2860 6216 2867 6216 2888 6216 2859 6217 2860 6217 2888 6217 2870 6218 2874 6218 2876 6218 3027 6219 2870 6219 2867 6219 3027 6220 2872 6220 2870 6220 3027 6221 2867 6221 2847 6221 2926 6222 2929 6222 2930 6222 2923 6223 2926 6223 2930 6223 2927 6224 2928 6224 2929 6224 2926 6225 2927 6225 2929 6225 3025 6226 2928 6226 2927 6226 3024 6227 2788 6227 2928 6227 3025 6228 3024 6228 2928 6228 3025 6229 2927 6229 2786 6229 2954 6230 2944 6230 2942 6230 2953 6231 2942 6231 2945 6231 2953 6232 2954 6232 2942 6232 2952 6233 2953 6233 2945 6233 2985 6234 2989 6234 2990 6234 2982 6235 2985 6235 2990 6235 2986 6236 2987 6236 2989 6236 2985 6237 2986 6237 2989 6237 3022 6238 2987 6238 2986 6238 3022 6239 2988 6239 2987 6239 3022 6240 2986 6240 2826 6240 3015 6241 3012 6241 3013 6241 3019 6242 3015 6242 3013 6242 3014 6243 3011 6243 3012 6243 3015 6244 3014 6244 3012 6244 3016 6245 3008 6245 3011 6245 3016 6246 3011 6246 3014 6246 3028 6247 3029 6247 2810 6247 3023 6248 2810 6248 3029 6248 2805 6249 3028 6249 2810 6249 2843 6250 2839 6250 3029 6250 3030 6251 3029 6251 2839 6251 3028 6252 2843 6252 3029 6252 3030 6253 3023 6253 3029 6253 3030 6254 2839 6254 2846 6254 3031 6255 2843 6255 3028 6255 3026 6256 2843 6256 3032 6256 3031 6257 3032 6257 2843 6257 3031 6258 3028 6258 2805 6258 2812 6259 3032 6259 2805 6259 3031 6260 2805 6260 3032 6260 2845 6261 3026 6261 3032 6261 2846 6262 2845 6262 3032 6262 2812 6263 2846 6263 3032 6263 2812 6264 3023 6264 2846 6264 3030 6265 2846 6265 3023 6265 657 6266 3033 6266 3034 6266 3035 6267 3034 6267 3033 6267 3036 6268 3034 6268 3037 6268 3038 6269 3037 6269 3034 6269 3039 6270 3034 6270 3036 6270 3040 6271 3034 6271 3039 6271 3040 6272 657 6272 3034 6272 3038 6273 3034 6273 3035 6273 3041 6274 3042 6274 3033 6274 3043 6275 3033 6275 3042 6275 3044 6276 3041 6276 3033 6276 3045 6277 3044 6277 3033 6277 3046 6278 3045 6278 3033 6278 657 6279 3046 6279 3033 6279 3043 6280 3035 6280 3033 6280 3047 6281 3048 6281 3042 6281 3049 6282 3042 6282 3048 6282 3050 6283 3042 6283 3041 6283 3047 6284 3042 6284 3050 6284 3043 6285 3042 6285 3049 6285 3051 6286 3052 6286 3048 6286 3053 6287 3048 6287 3052 6287 3054 6288 3055 6288 3048 6288 3056 6289 3048 6289 3055 6289 3057 6290 3054 6290 3048 6290 3058 6291 3057 6291 3048 6291 3059 6292 3048 6292 3056 6292 3059 6293 3051 6293 3048 6293 3047 6294 3058 6294 3048 6294 3049 6295 3048 6295 3053 6295 3060 6296 3061 6296 3052 6296 3062 6297 3052 6297 3061 6297 3051 6298 3060 6298 3052 6298 3053 6299 3052 6299 3062 6299 696 6300 3063 6300 3061 6300 3064 6301 3061 6301 3063 6301 3065 6302 696 6302 3061 6302 3066 6303 3065 6303 3061 6303 3060 6304 3066 6304 3061 6304 3062 6305 3061 6305 3064 6305 3067 6306 3068 6306 3063 6306 3069 6307 3063 6307 3068 6307 3070 6308 3067 6308 3063 6308 3071 6309 3070 6309 3063 6309 3072 6310 3071 6310 3063 6310 3072 6311 3063 6311 696 6311 3064 6312 3063 6312 3069 6312 3073 6313 3074 6313 3068 6313 3075 6314 3068 6314 3074 6314 3076 6315 3068 6315 3067 6315 3073 6316 3068 6316 3076 6316 3069 6317 3068 6317 3075 6317 3077 6318 3037 6318 3074 6318 3078 6319 3074 6319 3037 6319 3079 6320 3080 6320 3074 6320 3081 6321 3074 6321 3080 6321 3082 6322 3079 6322 3074 6322 3073 6323 3082 6323 3074 6323 3083 6324 3074 6324 3081 6324 3083 6325 3077 6325 3074 6325 3075 6326 3074 6326 3078 6326 3077 6327 3036 6327 3037 6327 3078 6328 3037 6328 3038 6328 3084 6329 3085 6329 3086 6329 3087 6330 3086 6330 3085 6330 3088 6331 3086 6331 3089 6331 3090 6332 3089 6332 3086 6332 3091 6333 3084 6333 3086 6333 3088 6334 3091 6334 3086 6334 3092 6335 3090 6335 3086 6335 3087 6336 3092 6336 3086 6336 3093 6337 3094 6337 3085 6337 3095 6338 3085 6338 3094 6338 3093 6339 3085 6339 3084 6339 3096 6340 3087 6340 3085 6340 3095 6341 3096 6341 3085 6341 3097 6342 3098 6342 3094 6342 3099 6343 3094 6343 3098 6343 3093 6344 3097 6344 3094 6344 3100 6345 3095 6345 3094 6345 3099 6346 3100 6346 3094 6346 3101 6347 3102 6347 3098 6347 3103 6348 3098 6348 3102 6348 3104 6349 3098 6349 3097 6349 3105 6350 3101 6350 3098 6350 3104 6351 3105 6351 3098 6351 3106 6352 3098 6352 3103 6352 3106 6353 3099 6353 3098 6353 3101 6354 3089 6354 3102 6354 3107 6355 3102 6355 3089 6355 3108 6356 3103 6356 3102 6356 3107 6357 3108 6357 3102 6357 3109 6358 3088 6358 3089 6358 3101 6359 3109 6359 3089 6359 3110 6360 3107 6360 3089 6360 3090 6361 3110 6361 3089 6361 3111 6362 3084 6362 3091 6362 3112 6363 3093 6363 3084 6363 3113 6364 3112 6364 3084 6364 3111 6365 3113 6365 3084 6365 3114 6366 3115 6366 3091 6366 3116 6367 3091 6367 3115 6367 3088 6368 3065 6368 3091 6368 3066 6369 3091 6369 3065 6369 3114 6370 3091 6370 3066 6370 3117 6371 3111 6371 3091 6371 3116 6372 3117 6372 3091 6372 3114 6373 3118 6373 3115 6373 3119 6374 3115 6374 3118 6374 3120 6375 3116 6375 3115 6375 3119 6376 3120 6376 3115 6376 3104 6377 3097 6377 3118 6377 3121 6378 3118 6378 3097 6378 3114 6379 3104 6379 3118 6379 3122 6380 3118 6380 3121 6380 3122 6381 3119 6381 3118 6381 3123 6382 3097 6382 3093 6382 3124 6383 3121 6383 3097 6383 3123 6384 3124 6384 3097 6384 3125 6385 3123 6385 3093 6385 3112 6386 3125 6386 3093 6386 3126 6387 3055 6387 3054 6387 3127 6388 3056 6388 3055 6388 3128 6389 3127 6389 3055 6389 3126 6390 3128 6390 3055 6390 3129 6391 3054 6391 3057 6391 3130 6392 3126 6392 3054 6392 3129 6393 3130 6393 3054 6393 3058 6394 3131 6394 3057 6394 3132 6395 3057 6395 3131 6395 3133 6396 3129 6396 3057 6396 3132 6397 3133 6397 3057 6397 3134 6398 3135 6398 3131 6398 3136 6399 3131 6399 3135 6399 3058 6400 3134 6400 3131 6400 3137 6401 3131 6401 3136 6401 3137 6402 3132 6402 3131 6402 3134 6403 3056 6403 3135 6403 3138 6404 3135 6404 3056 6404 3139 6405 3136 6405 3135 6405 3138 6406 3139 6406 3135 6406 3134 6407 3059 6407 3056 6407 3140 6408 3138 6408 3056 6408 3127 6409 3140 6409 3056 6409 3141 6410 3041 6410 3044 6410 3142 6411 3050 6411 3041 6411 3143 6412 3142 6412 3041 6412 3141 6413 3143 6413 3041 6413 3144 6414 3044 6414 3045 6414 3145 6415 3141 6415 3044 6415 3144 6416 3145 6416 3044 6416 3046 6417 3146 6417 3045 6417 3147 6418 3045 6418 3146 6418 3148 6419 3144 6419 3045 6419 3147 6420 3148 6420 3045 6420 3047 6421 3149 6421 3146 6421 3150 6422 3146 6422 3149 6422 3151 6423 659 6423 3146 6423 3152 6424 3146 6424 659 6424 3046 6425 3151 6425 3146 6425 3153 6426 3146 6426 3152 6426 3047 6427 3146 6427 3153 6427 3154 6428 3146 6428 3150 6428 3154 6429 3147 6429 3146 6429 3047 6430 3050 6430 3149 6430 3155 6431 3149 6431 3050 6431 3156 6432 3150 6432 3149 6432 3155 6433 3156 6433 3149 6433 3157 6434 3155 6434 3050 6434 3142 6435 3157 6435 3050 6435 3158 6436 3159 6436 3160 6436 3161 6437 3160 6437 3159 6437 3152 6438 3160 6438 3162 6438 3163 6439 3162 6439 3160 6439 3164 6440 3158 6440 3160 6440 3152 6441 3164 6441 3160 6441 3165 6442 3163 6442 3160 6442 3161 6443 3165 6443 3160 6443 3166 6444 3167 6444 3159 6444 3168 6445 3159 6445 3167 6445 3166 6446 3159 6446 3158 6446 3169 6447 3161 6447 3159 6447 3168 6448 3169 6448 3159 6448 3170 6449 3171 6449 3167 6449 3172 6450 3167 6450 3171 6450 3166 6451 3170 6451 3167 6451 3173 6452 3168 6452 3167 6452 3172 6453 3173 6453 3167 6453 3174 6454 3175 6454 3171 6454 3176 6455 3171 6455 3175 6455 3174 6456 3171 6456 3170 6456 3177 6457 3171 6457 3176 6457 3177 6458 3172 6458 3171 6458 3152 6459 3162 6459 3175 6459 3178 6460 3175 6460 3162 6460 3174 6461 3152 6461 3175 6461 3179 6462 3176 6462 3175 6462 3178 6463 3179 6463 3175 6463 3180 6464 3178 6464 3162 6464 3163 6465 3180 6465 3162 6465 3181 6466 3158 6466 3164 6466 3182 6467 3166 6467 3158 6467 3183 6468 3182 6468 3158 6468 3181 6469 3183 6469 3158 6469 3039 6470 3184 6470 3164 6470 3185 6471 3164 6471 3184 6471 3040 6472 3039 6472 3164 6472 3152 6473 3040 6473 3164 6473 3186 6474 3181 6474 3164 6474 3185 6475 3186 6475 3164 6475 3174 6476 3187 6476 3184 6476 3188 6477 3184 6477 3187 6477 3174 6478 3184 6478 3039 6478 3189 6479 3185 6479 3184 6479 3188 6480 3189 6480 3184 6480 3174 6481 3170 6481 3187 6481 3190 6482 3187 6482 3170 6482 3191 6483 3187 6483 3190 6483 3191 6484 3188 6484 3187 6484 3192 6485 3170 6485 3166 6485 3193 6486 3190 6486 3170 6486 3192 6487 3193 6487 3170 6487 3194 6488 3192 6488 3166 6488 3182 6489 3194 6489 3166 6489 3195 6490 3080 6490 3079 6490 3196 6491 3081 6491 3080 6491 3197 6492 3196 6492 3080 6492 3195 6493 3197 6493 3080 6493 3198 6494 3079 6494 3082 6494 3199 6495 3195 6495 3079 6495 3198 6496 3199 6496 3079 6496 3073 6497 3200 6497 3082 6497 3201 6498 3082 6498 3200 6498 3202 6499 3198 6499 3082 6499 3201 6500 3202 6500 3082 6500 3174 6501 3203 6501 3200 6501 3204 6502 3200 6502 3203 6502 3073 6503 3174 6503 3200 6503 3205 6504 3200 6504 3204 6504 3205 6505 3201 6505 3200 6505 3174 6506 3081 6506 3203 6506 3206 6507 3203 6507 3081 6507 3207 6508 3204 6508 3203 6508 3206 6509 3207 6509 3203 6509 3208 6510 3083 6510 3081 6510 3174 6511 3208 6511 3081 6511 3209 6512 3206 6512 3081 6512 3196 6513 3209 6513 3081 6513 3210 6514 3067 6514 3070 6514 3211 6515 3076 6515 3067 6515 3212 6516 3211 6516 3067 6516 3210 6517 3212 6517 3067 6517 3213 6518 3070 6518 3071 6518 3214 6519 3210 6519 3070 6519 3213 6520 3214 6520 3070 6520 3072 6521 3215 6521 3071 6521 3216 6522 3071 6522 3215 6522 3217 6523 3213 6523 3071 6523 3216 6524 3217 6524 3071 6524 3218 6525 3219 6525 3215 6525 3220 6526 3215 6526 3219 6526 3072 6527 3221 6527 3215 6527 3218 6528 3215 6528 3221 6528 3222 6529 3215 6529 3220 6529 3222 6530 3216 6530 3215 6530 3218 6531 3076 6531 3219 6531 3223 6532 3219 6532 3076 6532 3224 6533 3220 6533 3219 6533 3223 6534 3224 6534 3219 6534 3218 6535 3073 6535 3076 6535 3225 6536 3223 6536 3076 6536 3211 6537 3225 6537 3076 6537 3226 6538 696 6538 3065 6538 3227 6539 3072 6539 696 6539 3227 6540 696 6540 3226 6540 3228 6541 3065 6541 3088 6541 3228 6542 3226 6542 3065 6542 3109 6543 698 6543 3088 6543 3229 6544 3088 6544 698 6544 3228 6545 3088 6545 3229 6545 3109 6546 3221 6546 698 6546 3230 6547 698 6547 3221 6547 3229 6548 698 6548 3230 6548 3231 6549 3221 6549 3072 6549 3109 6550 3218 6550 3221 6550 3230 6551 3221 6551 3231 6551 3231 6552 3072 6552 3227 6552 3232 6553 3036 6553 3077 6553 3233 6554 3039 6554 3036 6554 3233 6555 3036 6555 3232 6555 3234 6556 3077 6556 3083 6556 3234 6557 3232 6557 3077 6557 3235 6558 3083 6558 3208 6558 3234 6559 3083 6559 3235 6559 3174 6560 3236 6560 3208 6560 3237 6561 3208 6561 3236 6561 3235 6562 3208 6562 3237 6562 3174 6563 3039 6563 3236 6563 3238 6564 3236 6564 3039 6564 3237 6565 3236 6565 3238 6565 3238 6566 3039 6566 3233 6566 3239 6567 659 6567 3151 6567 3240 6568 3152 6568 659 6568 3240 6569 659 6569 3239 6569 3241 6570 3151 6570 3046 6570 3241 6571 3239 6571 3151 6571 3242 6572 3046 6572 657 6572 3241 6573 3046 6573 3242 6573 3243 6574 657 6574 3040 6574 3242 6575 657 6575 3243 6575 3244 6576 3040 6576 3152 6576 3243 6577 3040 6577 3244 6577 3174 6578 3153 6578 3152 6578 3244 6579 3152 6579 3240 6579 3114 6580 3245 6580 3246 6580 3247 6581 3246 6581 3245 6581 3134 6582 3246 6582 3059 6582 3248 6583 3059 6583 3246 6583 3134 6584 3114 6584 3246 6584 3248 6585 3246 6585 3247 6585 3114 6586 3066 6586 3245 6586 3249 6587 3245 6587 3066 6587 3249 6588 3247 6588 3245 6588 3250 6589 3066 6589 3060 6589 3249 6590 3066 6590 3250 6590 3251 6591 3060 6591 3051 6591 3250 6592 3060 6592 3251 6592 3252 6593 3051 6593 3059 6593 3251 6594 3051 6594 3252 6594 3252 6595 3059 6595 3248 6595 3253 6596 3153 6596 3174 6596 3254 6597 3047 6597 3153 6597 3254 6598 3153 6598 3255 6598 3256 6599 3255 6599 3153 6599 3253 6600 3256 6600 3153 6600 3257 6601 3174 6601 3073 6601 3253 6602 3174 6602 3257 6602 3258 6603 3073 6603 3218 6603 3258 6604 3257 6604 3073 6604 3259 6605 3218 6605 3109 6605 3258 6606 3218 6606 3259 6606 3260 6607 3109 6607 3101 6607 3259 6608 3109 6608 3260 6608 3261 6609 3101 6609 3105 6609 3260 6610 3101 6610 3261 6610 3262 6611 3263 6611 3105 6611 3264 6612 3105 6612 3263 6612 3104 6613 3262 6613 3105 6613 3261 6614 3105 6614 3264 6614 3262 6615 3265 6615 3263 6615 3266 6616 3263 6616 3265 6616 3264 6617 3263 6617 3266 6617 3267 6618 3265 6618 3262 6618 3266 6619 3265 6619 3267 6619 3268 6620 3262 6620 3104 6620 3267 6621 3262 6621 3268 6621 3269 6622 3104 6622 3114 6622 3268 6623 3104 6623 3269 6623 3270 6624 3114 6624 3134 6624 3269 6625 3114 6625 3270 6625 3271 6626 3134 6626 3058 6626 3270 6627 3134 6627 3271 6627 3272 6628 3058 6628 3047 6628 3271 6629 3058 6629 3272 6629 3272 6630 3047 6630 3254 6630 3273 6631 3038 6631 3035 6631 3274 6632 3035 6632 3043 6632 3275 6633 3035 6633 3274 6633 3273 6634 3035 6634 3275 6634 3276 6635 3078 6635 3038 6635 3277 6636 3038 6636 3273 6636 3278 6637 3279 6637 3038 6637 3276 6638 3038 6638 3279 6638 3277 6639 3278 6639 3038 6639 3280 6640 3075 6640 3078 6640 3276 6641 3281 6641 3078 6641 3258 6642 3078 6642 3281 6642 3258 6643 3280 6643 3078 6643 3282 6644 3069 6644 3075 6644 3280 6645 3283 6645 3075 6645 3282 6646 3075 6646 3283 6646 3284 6647 3064 6647 3069 6647 3260 6648 3284 6648 3069 6648 3285 6649 3286 6649 3069 6649 3260 6650 3069 6650 3286 6650 3282 6651 3285 6651 3069 6651 3271 6652 3062 6652 3064 6652 3287 6653 3064 6653 3284 6653 3288 6654 3064 6654 3287 6654 3271 6655 3064 6655 3288 6655 3289 6656 3053 6656 3062 6656 3290 6657 3291 6657 3062 6657 3289 6658 3062 6658 3291 6658 3292 6659 3290 6659 3062 6659 3271 6660 3292 6660 3062 6660 3293 6661 3049 6661 3053 6661 3289 6662 3294 6662 3053 6662 3254 6663 3053 6663 3294 6663 3254 6664 3293 6664 3053 6664 3295 6665 3043 6665 3049 6665 3293 6666 3296 6666 3049 6666 3295 6667 3049 6667 3296 6667 3297 6668 3298 6668 3043 6668 3299 6669 3043 6669 3298 6669 3295 6670 3297 6670 3043 6670 3300 6671 3274 6671 3043 6671 3299 6672 3300 6672 3043 6672 3261 6673 3301 6673 3284 6673 3087 6674 3284 6674 3301 6674 3096 6675 3287 6675 3284 6675 3260 6676 3261 6676 3284 6676 3096 6677 3284 6677 3087 6677 3261 6678 3302 6678 3301 6678 3090 6679 3301 6679 3302 6679 3092 6680 3301 6680 3090 6680 3087 6681 3301 6681 3092 6681 3264 6682 3303 6682 3302 6682 3110 6683 3302 6683 3303 6683 3261 6684 3264 6684 3302 6684 3090 6685 3302 6685 3110 6685 3264 6686 3304 6686 3303 6686 3108 6687 3303 6687 3304 6687 3107 6688 3303 6688 3108 6688 3110 6689 3303 6689 3107 6689 3305 6690 3306 6690 3304 6690 3103 6691 3304 6691 3306 6691 3268 6692 3305 6692 3304 6692 3266 6693 3268 6693 3304 6693 3264 6694 3266 6694 3304 6694 3108 6695 3304 6695 3103 6695 3307 6696 3308 6696 3306 6696 3099 6697 3306 6697 3308 6697 3305 6698 3307 6698 3306 6698 3106 6699 3103 6699 3306 6699 3106 6700 3306 6700 3099 6700 3309 6701 3287 6701 3308 6701 3100 6702 3308 6702 3287 6702 3310 6703 3309 6703 3308 6703 3307 6704 3310 6704 3308 6704 3099 6705 3308 6705 3100 6705 3288 6706 3287 6706 3309 6706 3095 6707 3287 6707 3096 6707 3100 6708 3287 6708 3095 6708 3111 6709 3309 6709 3310 6709 3117 6710 3288 6710 3309 6710 3117 6711 3309 6711 3111 6711 3112 6712 3310 6712 3307 6712 3113 6713 3310 6713 3112 6713 3111 6714 3310 6714 3113 6714 3125 6715 3307 6715 3305 6715 3112 6716 3307 6716 3125 6716 3269 6717 3311 6717 3305 6717 3124 6718 3305 6718 3311 6718 3268 6719 3269 6719 3305 6719 3123 6720 3305 6720 3124 6720 3125 6721 3305 6721 3123 6721 3270 6722 3312 6722 3311 6722 3121 6723 3311 6723 3312 6723 3269 6724 3270 6724 3311 6724 3124 6725 3311 6725 3121 6725 3270 6726 3313 6726 3312 6726 3119 6727 3312 6727 3313 6727 3122 6728 3121 6728 3312 6728 3122 6729 3312 6729 3119 6729 3271 6730 3288 6730 3313 6730 3120 6731 3313 6731 3288 6731 3270 6732 3271 6732 3313 6732 3119 6733 3313 6733 3120 6733 3116 6734 3288 6734 3117 6734 3120 6735 3288 6735 3116 6735 3126 6736 3291 6736 3290 6736 3130 6737 3289 6737 3291 6737 3130 6738 3291 6738 3126 6738 3127 6739 3290 6739 3292 6739 3128 6740 3290 6740 3127 6740 3126 6741 3290 6741 3128 6741 3271 6742 3314 6742 3292 6742 3140 6743 3292 6743 3314 6743 3127 6744 3292 6744 3140 6744 3272 6745 3315 6745 3314 6745 3139 6746 3314 6746 3315 6746 3271 6747 3272 6747 3314 6747 3138 6748 3314 6748 3139 6748 3140 6749 3314 6749 3138 6749 3272 6750 3316 6750 3315 6750 3136 6751 3315 6751 3316 6751 3139 6752 3315 6752 3136 6752 3254 6753 3294 6753 3316 6753 3132 6754 3316 6754 3294 6754 3272 6755 3254 6755 3316 6755 3137 6756 3136 6756 3316 6756 3137 6757 3316 6757 3132 6757 3133 6758 3294 6758 3289 6758 3132 6759 3294 6759 3133 6759 3129 6760 3289 6760 3130 6760 3133 6761 3289 6761 3129 6761 3141 6762 3296 6762 3293 6762 3145 6763 3295 6763 3296 6763 3145 6764 3296 6764 3141 6764 3254 6765 3317 6765 3293 6765 3142 6766 3293 6766 3317 6766 3143 6767 3293 6767 3142 6767 3141 6768 3293 6768 3143 6768 3254 6769 3318 6769 3317 6769 3157 6770 3317 6770 3318 6770 3142 6771 3317 6771 3157 6771 3255 6772 3319 6772 3318 6772 3156 6773 3318 6773 3319 6773 3254 6774 3255 6774 3318 6774 3155 6775 3318 6775 3156 6775 3157 6776 3318 6776 3155 6776 3255 6777 3298 6777 3319 6777 3150 6778 3319 6778 3298 6778 3156 6779 3319 6779 3150 6779 3147 6780 3298 6780 3297 6780 3320 6781 3299 6781 3298 6781 3255 6782 3320 6782 3298 6782 3154 6783 3150 6783 3298 6783 3154 6784 3298 6784 3147 6784 3148 6785 3297 6785 3295 6785 3147 6786 3297 6786 3148 6786 3144 6787 3295 6787 3145 6787 3148 6788 3295 6788 3144 6788 3161 6789 3274 6789 3300 6789 3169 6790 3275 6790 3274 6790 3169 6791 3274 6791 3161 6791 3299 6792 3321 6792 3300 6792 3163 6793 3300 6793 3321 6793 3165 6794 3300 6794 3163 6794 3161 6795 3300 6795 3165 6795 3299 6796 3322 6796 3321 6796 3180 6797 3321 6797 3322 6797 3163 6798 3321 6798 3180 6798 3299 6799 3323 6799 3322 6799 3179 6800 3322 6800 3323 6800 3178 6801 3322 6801 3179 6801 3180 6802 3322 6802 3178 6802 3324 6803 3325 6803 3323 6803 3176 6804 3323 6804 3325 6804 3326 6805 3324 6805 3323 6805 3299 6806 3326 6806 3323 6806 3179 6807 3323 6807 3176 6807 3327 6808 3328 6808 3325 6808 3172 6809 3325 6809 3328 6809 3324 6810 3327 6810 3325 6810 3177 6811 3176 6811 3325 6811 3177 6812 3325 6812 3172 6812 3329 6813 3275 6813 3328 6813 3173 6814 3328 6814 3275 6814 3330 6815 3329 6815 3328 6815 3327 6816 3330 6816 3328 6816 3172 6817 3328 6817 3173 6817 3273 6818 3275 6818 3329 6818 3168 6819 3275 6819 3169 6819 3173 6820 3275 6820 3168 6820 3181 6821 3329 6821 3330 6821 3186 6822 3273 6822 3329 6822 3186 6823 3329 6823 3181 6823 3182 6824 3330 6824 3327 6824 3183 6825 3330 6825 3182 6825 3181 6826 3330 6826 3183 6826 3194 6827 3327 6827 3324 6827 3182 6828 3327 6828 3194 6828 3331 6829 3332 6829 3324 6829 3193 6830 3324 6830 3332 6830 3326 6831 3331 6831 3324 6831 3192 6832 3324 6832 3193 6832 3194 6833 3324 6833 3192 6833 3333 6834 3334 6834 3332 6834 3190 6835 3332 6835 3334 6835 3335 6836 3333 6836 3332 6836 3331 6837 3335 6837 3332 6837 3193 6838 3332 6838 3190 6838 3333 6839 3336 6839 3334 6839 3188 6840 3334 6840 3336 6840 3191 6841 3190 6841 3334 6841 3191 6842 3334 6842 3188 6842 3277 6843 3273 6843 3336 6843 3189 6844 3336 6844 3273 6844 3333 6845 3277 6845 3336 6845 3188 6846 3336 6846 3189 6846 3185 6847 3273 6847 3186 6847 3189 6848 3273 6848 3185 6848 3195 6849 3279 6849 3278 6849 3199 6850 3276 6850 3279 6850 3199 6851 3279 6851 3195 6851 3196 6852 3278 6852 3277 6852 3197 6853 3278 6853 3196 6853 3195 6854 3278 6854 3197 6854 3209 6855 3277 6855 3333 6855 3196 6856 3277 6856 3209 6856 3337 6857 3338 6857 3333 6857 3207 6858 3333 6858 3338 6858 3335 6859 3337 6859 3333 6859 3206 6860 3333 6860 3207 6860 3209 6861 3333 6861 3206 6861 3258 6862 3339 6862 3338 6862 3204 6863 3338 6863 3339 6863 3258 6864 3338 6864 3337 6864 3207 6865 3338 6865 3204 6865 3258 6866 3281 6866 3339 6866 3201 6867 3339 6867 3281 6867 3205 6868 3204 6868 3339 6868 3205 6869 3339 6869 3201 6869 3202 6870 3281 6870 3276 6870 3201 6871 3281 6871 3202 6871 3198 6872 3276 6872 3199 6872 3202 6873 3276 6873 3198 6873 3210 6874 3283 6874 3280 6874 3214 6875 3282 6875 3283 6875 3214 6876 3283 6876 3210 6876 3258 6877 3340 6877 3280 6877 3211 6878 3280 6878 3340 6878 3212 6879 3280 6879 3211 6879 3210 6880 3280 6880 3212 6880 3259 6881 3341 6881 3340 6881 3225 6882 3340 6882 3341 6882 3258 6883 3259 6883 3340 6883 3211 6884 3340 6884 3225 6884 3260 6885 3342 6885 3341 6885 3224 6886 3341 6886 3342 6886 3259 6887 3260 6887 3341 6887 3223 6888 3341 6888 3224 6888 3225 6889 3341 6889 3223 6889 3260 6890 3286 6890 3342 6890 3220 6891 3342 6891 3286 6891 3224 6892 3342 6892 3220 6892 3216 6893 3286 6893 3285 6893 3222 6894 3220 6894 3286 6894 3222 6895 3286 6895 3216 6895 3217 6896 3285 6896 3282 6896 3216 6897 3285 6897 3217 6897 3213 6898 3282 6898 3214 6898 3217 6899 3282 6899 3213 6899 3343 6900 3344 6900 3345 6900 3346 6901 3345 6901 3344 6901 3347 6902 3345 6902 3348 6902 3349 6903 3348 6903 3345 6903 3347 6904 3343 6904 3345 6904 3349 6905 3345 6905 3346 6905 3350 6906 3351 6906 3344 6906 3352 6907 3344 6907 3351 6907 3353 6908 3350 6908 3344 6908 3343 6909 3353 6909 3344 6909 3346 6910 3344 6910 3352 6910 3255 6911 3354 6911 3351 6911 3355 6912 3351 6912 3354 6912 3255 6913 3351 6913 3350 6913 3352 6914 3351 6914 3355 6914 3257 6915 3356 6915 3354 6915 3357 6916 3354 6916 3356 6916 3255 6917 3257 6917 3354 6917 3355 6918 3354 6918 3357 6918 3257 6919 3358 6919 3356 6919 3359 6920 3356 6920 3358 6920 3359 6921 3357 6921 3356 6921 3258 6922 3360 6922 3358 6922 3361 6923 3358 6923 3360 6923 3258 6924 3358 6924 3257 6924 3359 6925 3358 6925 3361 6925 3258 6926 3362 6926 3360 6926 3363 6927 3360 6927 3362 6927 3361 6928 3360 6928 3363 6928 3258 6929 3364 6929 3362 6929 3365 6930 3362 6930 3364 6930 3363 6931 3362 6931 3365 6931 3366 6932 3348 6932 3364 6932 3367 6933 3364 6933 3348 6933 3368 6934 3366 6934 3364 6934 3258 6935 3368 6935 3364 6935 3365 6936 3364 6936 3367 6936 3366 6937 3347 6937 3348 6937 3367 6938 3348 6938 3349 6938 3255 6939 3350 6939 3369 6939 3370 6940 3369 6940 3350 6940 3371 6941 3369 6941 3372 6941 3373 6942 3372 6942 3369 6942 3255 6943 3369 6943 3371 6943 3373 6944 3369 6944 3370 6944 3374 6945 3350 6945 3353 6945 3370 6946 3350 6946 3374 6946 3375 6947 3353 6947 3343 6947 3375 6948 3374 6948 3353 6948 3376 6949 3377 6949 3343 6949 3378 6950 3343 6950 3377 6950 3379 6951 3376 6951 3343 6951 3347 6952 3379 6952 3343 6952 3375 6953 3343 6953 3378 6953 3380 6954 3381 6954 3377 6954 3382 6955 3377 6955 3381 6955 3380 6956 3377 6956 3376 6956 3378 6957 3377 6957 3382 6957 3380 6958 3383 6958 3381 6958 3384 6959 3381 6959 3383 6959 3382 6960 3381 6960 3384 6960 3385 6961 3386 6961 3383 6961 3387 6962 3383 6962 3386 6962 3385 6963 3383 6963 3380 6963 3384 6964 3383 6964 3387 6964 3388 6965 3389 6965 3386 6965 3390 6966 3386 6966 3389 6966 3388 6967 3386 6967 3385 6967 3387 6968 3386 6968 3390 6968 3391 6969 3372 6969 3389 6969 3392 6970 3389 6970 3372 6970 3388 6971 3393 6971 3389 6971 3391 6972 3389 6972 3393 6972 3390 6973 3389 6973 3392 6973 3394 6974 3371 6974 3372 6974 3391 6975 3394 6975 3372 6975 3392 6976 3372 6976 3373 6976 3395 6977 3376 6977 3379 6977 3396 6978 3380 6978 3376 6978 3396 6979 3376 6979 3395 6979 3397 6980 3379 6980 3347 6980 3397 6981 3395 6981 3379 6981 3398 6982 3347 6982 3366 6982 3397 6983 3347 6983 3398 6983 3399 6984 3366 6984 3368 6984 3398 6985 3366 6985 3399 6985 3258 6986 3400 6986 3368 6986 3401 6987 3368 6987 3400 6987 3399 6988 3368 6988 3401 6988 3258 6989 3337 6989 3400 6989 3402 6990 3400 6990 3337 6990 3401 6991 3400 6991 3402 6991 3403 6992 3337 6992 3335 6992 3402 6993 3337 6993 3403 6993 3404 6994 3405 6994 3335 6994 3406 6995 3335 6995 3405 6995 3331 6996 3404 6996 3335 6996 3403 6997 3335 6997 3406 6997 3404 6998 3380 6998 3405 6998 3407 6999 3405 6999 3380 6999 3406 7000 3405 7000 3407 7000 3404 7001 3385 7001 3380 7001 3407 7002 3380 7002 3396 7002 3408 7003 3385 7003 3404 7003 3409 7004 3388 7004 3385 7004 3409 7005 3385 7005 3408 7005 3410 7006 3404 7006 3331 7006 3410 7007 3408 7007 3404 7007 3411 7008 3331 7008 3326 7008 3410 7009 3331 7009 3411 7009 3412 7010 3326 7010 3299 7010 3411 7011 3326 7011 3412 7011 3413 7012 3299 7012 3320 7012 3412 7013 3299 7013 3413 7013 3414 7014 3415 7014 3320 7014 3416 7015 3320 7015 3415 7015 3417 7016 3414 7016 3320 7016 3418 7017 3417 7017 3320 7017 3419 7018 3418 7018 3320 7018 3255 7019 3419 7019 3320 7019 3413 7020 3320 7020 3416 7020 3391 7021 3420 7021 3415 7021 3421 7022 3415 7022 3420 7022 3391 7023 3415 7023 3414 7023 3416 7024 3415 7024 3421 7024 3391 7025 3393 7025 3420 7025 3422 7026 3420 7026 3393 7026 3421 7027 3420 7027 3422 7027 3423 7028 3393 7028 3388 7028 3422 7029 3393 7029 3423 7029 3423 7030 3388 7030 3409 7030 3424 7031 3414 7031 3417 7031 3425 7032 3391 7032 3414 7032 3425 7033 3414 7033 3424 7033 3426 7034 3417 7034 3418 7034 3426 7035 3424 7035 3417 7035 3427 7036 3418 7036 3419 7036 3426 7037 3418 7037 3427 7037 3255 7038 3428 7038 3419 7038 3429 7039 3419 7039 3428 7039 3427 7040 3419 7040 3429 7040 3255 7041 3430 7041 3428 7041 3431 7042 3428 7042 3430 7042 3429 7043 3428 7043 3431 7043 3255 7044 3432 7044 3430 7044 3433 7045 3430 7045 3432 7045 3431 7046 3430 7046 3433 7046 3255 7047 3371 7047 3432 7047 3434 7048 3432 7048 3371 7048 3433 7049 3432 7049 3434 7049 3435 7050 3371 7050 3394 7050 3434 7051 3371 7051 3435 7051 3436 7052 3394 7052 3391 7052 3435 7053 3394 7053 3436 7053 3436 7054 3391 7054 3425 7054 3437 7055 3257 7055 3255 7055 3438 7056 3257 7056 3437 7056 3439 7057 3257 7057 3438 7057 3440 7058 3253 7058 3257 7058 3441 7059 3440 7059 3257 7059 3439 7060 3441 7060 3257 7060 3256 7061 3442 7061 3255 7061 3443 7062 3255 7062 3442 7062 3437 7063 3255 7063 3443 7063 3266 7064 3267 7064 3268 7064 3444 7065 3445 7065 3442 7065 3446 7066 3442 7066 3445 7066 3256 7067 3444 7067 3442 7067 3443 7068 3442 7068 3447 7068 3446 7069 3447 7069 3442 7069 3448 7070 3445 7070 3444 7070 3446 7071 3445 7071 3441 7071 3449 7072 3441 7072 3445 7072 3450 7073 3451 7073 3445 7073 3452 7074 3445 7074 3451 7074 3448 7075 3450 7075 3445 7075 3453 7076 3445 7076 3452 7076 3454 7077 3455 7077 3445 7077 3456 7078 3445 7078 3455 7078 3453 7079 3454 7079 3445 7079 3457 7080 3458 7080 3445 7080 3459 7081 3445 7081 3458 7081 3456 7082 3457 7082 3445 7082 3459 7083 3449 7083 3445 7083 3440 7084 3444 7084 3256 7084 3460 7085 3444 7085 3440 7085 3460 7086 3448 7086 3444 7086 3440 7087 3256 7087 3253 7087 3438 7088 3461 7088 3462 7088 3463 7089 3462 7089 3461 7089 3464 7090 3438 7090 3462 7090 3465 7091 3464 7091 3462 7091 3463 7092 3465 7092 3462 7092 3437 7093 3466 7093 3461 7093 3467 7094 3461 7094 3466 7094 3438 7095 3437 7095 3461 7095 3467 7096 3463 7096 3461 7096 3443 7097 3468 7097 3466 7097 3469 7098 3466 7098 3468 7098 3437 7099 3443 7099 3466 7099 3467 7100 3466 7100 3469 7100 3443 7101 3470 7101 3468 7101 3471 7102 3468 7102 3470 7102 3469 7103 3468 7103 3471 7103 3443 7104 3472 7104 3470 7104 3473 7105 3470 7105 3472 7105 3473 7106 3471 7106 3470 7106 3443 7107 3474 7107 3472 7107 3475 7108 3472 7108 3474 7108 3473 7109 3472 7109 3475 7109 3443 7110 3447 7110 3474 7110 3446 7111 3474 7111 3447 7111 3446 7112 3476 7112 3474 7112 3475 7113 3474 7113 3476 7113 3441 7114 3438 7114 3464 7114 3439 7115 3438 7115 3441 7115 3465 7116 3441 7116 3464 7116 3477 7117 3440 7117 3441 7117 3478 7118 3460 7118 3440 7118 3479 7119 3478 7119 3440 7119 3480 7120 3479 7120 3440 7120 3481 7121 3480 7121 3440 7121 3482 7122 3481 7122 3440 7122 3483 7123 3482 7123 3440 7123 3484 7124 3483 7124 3440 7124 3485 7125 3484 7125 3440 7125 3486 7126 3485 7126 3440 7126 3477 7127 3486 7127 3440 7127 3487 7128 3446 7128 3441 7128 3465 7129 3487 7129 3441 7129 3477 7130 3441 7130 3449 7130 3488 7131 3476 7131 3446 7131 3475 7132 3476 7132 3488 7132 3489 7133 3446 7133 3487 7133 3490 7134 3446 7134 3489 7134 3488 7135 3446 7135 3490 7135 3463 7136 3487 7136 3465 7136 3491 7137 3489 7137 3487 7137 3492 7138 3491 7138 3487 7138 3493 7139 3492 7139 3487 7139 3494 7140 3493 7140 3487 7140 3495 7141 3494 7141 3487 7141 3496 7142 3495 7142 3487 7142 3497 7143 3496 7143 3487 7143 3498 7144 3497 7144 3487 7144 3499 7145 3498 7145 3487 7145 3500 7146 3501 7146 3487 7146 3499 7147 3487 7147 3501 7147 3502 7148 3500 7148 3487 7148 3503 7149 3502 7149 3487 7149 3504 7150 3487 7150 3505 7150 3463 7151 3505 7151 3487 7151 3504 7152 3503 7152 3487 7152 3489 7153 3451 7153 3450 7153 3491 7154 3452 7154 3451 7154 3491 7155 3451 7155 3489 7155 3490 7156 3450 7156 3448 7156 3490 7157 3489 7157 3450 7157 3506 7158 3448 7158 3460 7158 3490 7159 3448 7159 3506 7159 3507 7160 3460 7160 3478 7160 3506 7161 3460 7161 3507 7161 3479 7162 3452 7162 3478 7162 3492 7163 3478 7163 3452 7163 3507 7164 3478 7164 3492 7164 3479 7165 3453 7165 3452 7165 3492 7166 3452 7166 3491 7166 3493 7167 3455 7167 3454 7167 3456 7168 3455 7168 3481 7168 3494 7169 3481 7169 3455 7169 3494 7170 3455 7170 3493 7170 3508 7171 3454 7171 3453 7171 3508 7172 3493 7172 3454 7172 3509 7173 3453 7173 3479 7173 3508 7174 3453 7174 3509 7174 3510 7175 3479 7175 3480 7175 3509 7176 3479 7176 3510 7176 3495 7177 3480 7177 3481 7177 3510 7178 3480 7178 3495 7178 3482 7179 3456 7179 3481 7179 3495 7180 3481 7180 3494 7180 3496 7181 3458 7181 3457 7181 3511 7182 3458 7182 3484 7182 3497 7183 3484 7183 3458 7183 3511 7184 3459 7184 3458 7184 3497 7185 3458 7185 3496 7185 3512 7186 3457 7186 3456 7186 3512 7187 3496 7187 3457 7187 3513 7188 3456 7188 3482 7188 3512 7189 3456 7189 3513 7189 3514 7190 3482 7190 3483 7190 3513 7191 3482 7191 3514 7191 3498 7192 3483 7192 3484 7192 3514 7193 3483 7193 3498 7193 3485 7194 3511 7194 3484 7194 3498 7195 3484 7195 3497 7195 3501 7196 3449 7196 3459 7196 3500 7197 3477 7197 3449 7197 3500 7198 3449 7198 3501 7198 3499 7199 3459 7199 3511 7199 3499 7200 3501 7200 3459 7200 3515 7201 3511 7201 3485 7201 3499 7202 3511 7202 3515 7202 3516 7203 3485 7203 3486 7203 3515 7204 3485 7204 3516 7204 3502 7205 3486 7205 3477 7205 3516 7206 3486 7206 3502 7206 3502 7207 3477 7207 3500 7207 3517 7208 3507 7208 3492 7208 3508 7209 3492 7209 3493 7209 3517 7210 3492 7210 3508 7210 3517 7211 3506 7211 3507 7211 3517 7212 3490 7212 3506 7212 3518 7213 3488 7213 3490 7213 3517 7214 3518 7214 3490 7214 3512 7215 3510 7215 3495 7215 3512 7216 3495 7216 3496 7216 3517 7217 3509 7217 3510 7217 3517 7218 3510 7218 3512 7218 3517 7219 3508 7219 3509 7219 3499 7220 3514 7220 3498 7220 3517 7221 3513 7221 3514 7221 3499 7222 3515 7222 3514 7222 3517 7223 3514 7223 3515 7223 3517 7224 3512 7224 3513 7224 3503 7225 3516 7225 3502 7225 3517 7226 3515 7226 3516 7226 3503 7227 3517 7227 3516 7227 3467 7228 3504 7228 3505 7228 3467 7229 3505 7229 3463 7229 3475 7230 3488 7230 3518 7230 3473 7231 3518 7231 3517 7231 3473 7232 3475 7232 3518 7232 3471 7233 3517 7233 3503 7233 3473 7234 3517 7234 3471 7234 3469 7235 3503 7235 3504 7235 3469 7236 3471 7236 3503 7236 3467 7237 3469 7237 3504 7237 3349 7238 3355 7238 3357 7238 3367 7239 3349 7239 3357 7239 3365 7240 3367 7240 3357 7240 3359 7241 3365 7241 3357 7241 3346 7242 3352 7242 3355 7242 3349 7243 3346 7243 3355 7243 3361 7244 3363 7244 3365 7244 3359 7245 3361 7245 3365 7245 3390 7246 3370 7246 3374 7246 3387 7247 3390 7247 3374 7247 3384 7248 3387 7248 3374 7248 3382 7249 3384 7249 3374 7249 3375 7250 3382 7250 3374 7250 3392 7251 3373 7251 3370 7251 3390 7252 3392 7252 3370 7252 3375 7253 3378 7253 3382 7253 3407 7254 3396 7254 3395 7254 3406 7255 3407 7255 3395 7255 3397 7256 3406 7256 3395 7256 3399 7257 3403 7257 3406 7257 3398 7258 3399 7258 3406 7258 3397 7259 3398 7259 3406 7259 3401 7260 3402 7260 3403 7260 3399 7261 3401 7261 3403 7261 3411 7262 3409 7262 3408 7262 3410 7263 3411 7263 3408 7263 3412 7264 3423 7264 3409 7264 3411 7265 3412 7265 3409 7265 3412 7266 3422 7266 3423 7266 3412 7267 3421 7267 3422 7267 3413 7268 3416 7268 3421 7268 3412 7269 3413 7269 3421 7269 3436 7270 3425 7270 3424 7270 3435 7271 3436 7271 3424 7271 3426 7272 3435 7272 3424 7272 3426 7273 3434 7273 3435 7273 3427 7274 3433 7274 3434 7274 3426 7275 3427 7275 3434 7275 3429 7276 3431 7276 3433 7276 3427 7277 3429 7277 3433 7277 3231 7278 3227 7278 3226 7278 3230 7279 3231 7279 3226 7279 3228 7280 3230 7280 3226 7280 3228 7281 3229 7281 3230 7281 3238 7282 3233 7282 3232 7282 3237 7283 3238 7283 3232 7283 3234 7284 3237 7284 3232 7284 3234 7285 3235 7285 3237 7285 3244 7286 3240 7286 3239 7286 3243 7287 3244 7287 3239 7287 3241 7288 3243 7288 3239 7288 3241 7289 3242 7289 3243 7289 3252 7290 3248 7290 3247 7290 3251 7291 3252 7291 3247 7291 3249 7292 3251 7292 3247 7292 3249 7293 3250 7293 3251 7293 3519 7294 3520 7294 3521 7294 3522 7295 3521 7295 3520 7295 3523 7296 3521 7296 3524 7296 3525 7297 3524 7297 3521 7297 3523 7298 3519 7298 3521 7298 3522 7299 3525 7299 3521 7299 3526 7300 3527 7300 3520 7300 3528 7301 3520 7301 3527 7301 3529 7302 3526 7302 3520 7302 3519 7303 3529 7303 3520 7303 3522 7304 3520 7304 3528 7304 3530 7305 3527 7305 3526 7305 3528 7306 3527 7306 3530 7306 3531 7307 3532 7307 3526 7307 3533 7308 3526 7308 3532 7308 3534 7309 3531 7309 3526 7309 3535 7310 3534 7310 3526 7310 3529 7311 3535 7311 3526 7311 3530 7312 3526 7312 3533 7312 3536 7313 3537 7313 3532 7313 3538 7314 3532 7314 3537 7314 3531 7315 3536 7315 3532 7315 3533 7316 3532 7316 3538 7316 3524 7317 3539 7317 3537 7317 3540 7318 3537 7318 3539 7318 3541 7319 3524 7319 3537 7319 3536 7320 3541 7320 3537 7320 3538 7321 3537 7321 3540 7321 3542 7322 3539 7322 3524 7322 3540 7323 3539 7323 3542 7323 3543 7324 3524 7324 3541 7324 3544 7325 3523 7325 3524 7325 3543 7326 3544 7326 3524 7326 3542 7327 3524 7327 3525 7327 3545 7328 3541 7328 3536 7328 3546 7329 3543 7329 3541 7329 3546 7330 3541 7330 3545 7330 3547 7331 3536 7331 3531 7331 3547 7332 3545 7332 3536 7332 3548 7333 3531 7333 3534 7333 3547 7334 3531 7334 3548 7334 3549 7335 3534 7335 3535 7335 3548 7336 3534 7336 3549 7336 3550 7337 3535 7337 3529 7337 3549 7338 3535 7338 3550 7338 3551 7339 3529 7339 3519 7339 3550 7340 3529 7340 3551 7340 3552 7341 3519 7341 3523 7341 3551 7342 3519 7342 3552 7342 3553 7343 3523 7343 3544 7343 3552 7344 3523 7344 3553 7344 3554 7345 3544 7345 3543 7345 3553 7346 3544 7346 3554 7346 3554 7347 3543 7347 3546 7347 3538 7348 3542 7348 3525 7348 3533 7349 3538 7349 3525 7349 3522 7350 3533 7350 3525 7350 3538 7351 3540 7351 3542 7351 3522 7352 3530 7352 3533 7352 3522 7353 3528 7353 3530 7353 3555 7354 3546 7354 3545 7354 3556 7355 3545 7355 3547 7355 3555 7356 3545 7356 3556 7356 3553 7357 3554 7357 3546 7357 3555 7358 3553 7358 3546 7358 3557 7359 3552 7359 3553 7359 3558 7360 3557 7360 3553 7360 3555 7361 3558 7361 3553 7361 3559 7362 3551 7362 3552 7362 3557 7363 3559 7363 3552 7363 3560 7364 3550 7364 3551 7364 3559 7365 3560 7365 3551 7365 3548 7366 3549 7366 3550 7366 3560 7367 3548 7367 3550 7367 3561 7368 3547 7368 3548 7368 3562 7369 3561 7369 3548 7369 3560 7370 3562 7370 3548 7370 3561 7371 3556 7371 3547 7371 3563 7372 3556 7372 3561 7372 3564 7373 3555 7373 3556 7373 3564 7374 3556 7374 3563 7374 3565 7375 3561 7375 3562 7375 3565 7376 3563 7376 3561 7376 3566 7377 3562 7377 3560 7377 3565 7378 3562 7378 3566 7378 3567 7379 3560 7379 3559 7379 3566 7380 3560 7380 3567 7380 3568 7381 3559 7381 3557 7381 3567 7382 3559 7382 3568 7382 3569 7383 3557 7383 3558 7383 3568 7384 3557 7384 3569 7384 3570 7385 3558 7385 3555 7385 3569 7386 3558 7386 3570 7386 3570 7387 3555 7387 3564 7387 3566 7388 3564 7388 3563 7388 3565 7389 3566 7389 3563 7389 3567 7390 3570 7390 3564 7390 3566 7391 3567 7391 3564 7391 3568 7392 3569 7392 3570 7392 3567 7393 3568 7393 3570 7393 3571 7394 3572 7394 3573 7394 3574 7395 3573 7395 3572 7395 3575 7396 3571 7396 3573 7396 3576 7397 3575 7397 3573 7397 3576 7398 3573 7398 3574 7398 3577 7399 3572 7399 3571 7399 3574 7400 3572 7400 3577 7400 3578 7401 3571 7401 3575 7401 3577 7402 3571 7402 3578 7402 3576 7403 3578 7403 3575 7403 3579 7404 3580 7404 3581 7404 3582 7405 3581 7405 3580 7405 3583 7406 3579 7406 3581 7406 3584 7407 3583 7407 3581 7407 3584 7408 3581 7408 3582 7408 3585 7409 3580 7409 3579 7409 3582 7410 3580 7410 3585 7410 3586 7411 3579 7411 3583 7411 3585 7412 3579 7412 3586 7412 3584 7413 3586 7413 3583 7413 3577 7414 3585 7414 3586 7414 3574 7415 3577 7415 3586 7415 3584 7416 3574 7416 3586 7416 3578 7417 3582 7417 3585 7417 3577 7418 3578 7418 3585 7418 3576 7419 3582 7419 3578 7419 3576 7420 3584 7420 3582 7420 3576 7421 3574 7421 3584 7421 3587 7422 3588 7422 3589 7422 3590 7423 3589 7423 3588 7423 3591 7424 3587 7424 3589 7424 3592 7425 3591 7425 3589 7425 3592 7426 3589 7426 3590 7426 3593 7427 3588 7427 3587 7427 3590 7428 3588 7428 3593 7428 3594 7429 3587 7429 3591 7429 3593 7430 3587 7430 3594 7430 3592 7431 3594 7431 3591 7431 3595 7432 3596 7432 3597 7432 3598 7433 3597 7433 3596 7433 3599 7434 3595 7434 3597 7434 3600 7435 3599 7435 3597 7435 3600 7436 3597 7436 3598 7436 3601 7437 3596 7437 3595 7437 3598 7438 3596 7438 3601 7438 3602 7439 3595 7439 3599 7439 3601 7440 3595 7440 3602 7440 3600 7441 3602 7441 3599 7441 3593 7442 3601 7442 3602 7442 3590 7443 3593 7443 3602 7443 3600 7444 3590 7444 3602 7444 3594 7445 3598 7445 3601 7445 3593 7446 3594 7446 3601 7446 3592 7447 3598 7447 3594 7447 3592 7448 3600 7448 3598 7448 3592 7449 3590 7449 3600 7449 3603 7450 3604 7450 3605 7450 3606 7451 3605 7451 3604 7451 3607 7452 3603 7452 3605 7452 3608 7453 3607 7453 3605 7453 3608 7454 3605 7454 3606 7454 3609 7455 3604 7455 3603 7455 3606 7456 3604 7456 3609 7456 3610 7457 3603 7457 3607 7457 3609 7458 3603 7458 3610 7458 3608 7459 3610 7459 3607 7459 3611 7460 3612 7460 3613 7460 3614 7461 3613 7461 3612 7461 3615 7462 3611 7462 3613 7462 3616 7463 3615 7463 3613 7463 3616 7464 3613 7464 3614 7464 3617 7465 3612 7465 3611 7465 3614 7466 3612 7466 3617 7466 3618 7467 3611 7467 3615 7467 3617 7468 3611 7468 3618 7468 3616 7469 3618 7469 3615 7469 3609 7470 3617 7470 3618 7470 3606 7471 3609 7471 3618 7471 3616 7472 3606 7472 3618 7472 3610 7473 3614 7473 3617 7473 3609 7474 3610 7474 3617 7474 3608 7475 3614 7475 3610 7475 3608 7476 3616 7476 3614 7476 3608 7477 3606 7477 3616 7477 3619 7478 3620 7478 3621 7478 3622 7479 3621 7479 3620 7479 3623 7480 3619 7480 3621 7480 3624 7481 3623 7481 3621 7481 3624 7482 3621 7482 3622 7482 3625 7483 3620 7483 3619 7483 3622 7484 3620 7484 3625 7484 3626 7485 3619 7485 3623 7485 3625 7486 3619 7486 3626 7486 3624 7487 3626 7487 3623 7487 3627 7488 3628 7488 3629 7488 3630 7489 3629 7489 3628 7489 3631 7490 3627 7490 3629 7490 3632 7491 3631 7491 3629 7491 3632 7492 3629 7492 3630 7492 3633 7493 3628 7493 3627 7493 3630 7494 3628 7494 3633 7494 3634 7495 3627 7495 3631 7495 3633 7496 3627 7496 3634 7496 3632 7497 3634 7497 3631 7497 3625 7498 3633 7498 3634 7498 3622 7499 3625 7499 3634 7499 3632 7500 3622 7500 3634 7500 3626 7501 3630 7501 3633 7501 3625 7502 3626 7502 3633 7502 3624 7503 3630 7503 3626 7503 3624 7504 3632 7504 3630 7504 3624 7505 3622 7505 3632 7505 3635 7506 3636 7506 3637 7506 3638 7507 3637 7507 3636 7507 3635 7508 3637 7508 3639 7508 3640 7509 3639 7509 3637 7509 3638 7510 3640 7510 3637 7510 3635 7511 3641 7511 3636 7511 3642 7512 3636 7512 3641 7512 3638 7513 3636 7513 3643 7513 3642 7514 3643 7514 3636 7514 3644 7515 3645 7515 3641 7515 3646 7516 3641 7516 3645 7516 3644 7517 3641 7517 3647 7517 3648 7518 3647 7518 3641 7518 3635 7519 3648 7519 3641 7519 3642 7520 3641 7520 3646 7520 3644 7521 3649 7521 3645 7521 3650 7522 3645 7522 3649 7522 3646 7523 3645 7523 3650 7523 3644 7524 3639 7524 3649 7524 3651 7525 3649 7525 3639 7525 3651 7526 3652 7526 3649 7526 3650 7527 3649 7527 3652 7527 3653 7528 3639 7528 3644 7528 3635 7529 3639 7529 3653 7529 3640 7530 3651 7530 3639 7530 3648 7531 3654 7531 3655 7531 3656 7532 3655 7532 3654 7532 3648 7533 3655 7533 3647 7533 3657 7534 3647 7534 3655 7534 3656 7535 3657 7535 3655 7535 3648 7536 3658 7536 3654 7536 3659 7537 3654 7537 3658 7537 3656 7538 3654 7538 3660 7538 3659 7539 3660 7539 3654 7539 3661 7540 3662 7540 3658 7540 3663 7541 3658 7541 3662 7541 3661 7542 3658 7542 3664 7542 3648 7543 3664 7543 3658 7543 3659 7544 3658 7544 3663 7544 3661 7545 3665 7545 3662 7545 3666 7546 3662 7546 3665 7546 3663 7547 3662 7547 3666 7547 3661 7548 3647 7548 3665 7548 3667 7549 3665 7549 3647 7549 3667 7550 3668 7550 3665 7550 3666 7551 3665 7551 3668 7551 3661 7552 3644 7552 3647 7552 3657 7553 3667 7553 3647 7553 3669 7554 3670 7554 3671 7554 3672 7555 3671 7555 3670 7555 3673 7556 3671 7556 3674 7556 3675 7557 3674 7557 3671 7557 3676 7558 3671 7558 3673 7558 3676 7559 3669 7559 3671 7559 3672 7560 3675 7560 3671 7560 3677 7561 3678 7561 3670 7561 3679 7562 3670 7562 3678 7562 3669 7563 3677 7563 3670 7563 3679 7564 3672 7564 3670 7564 3677 7565 3664 7565 3678 7565 3680 7566 3678 7566 3664 7566 3680 7567 3679 7567 3678 7567 3681 7568 3682 7568 3664 7568 3683 7569 3664 7569 3682 7569 3677 7570 3661 7570 3664 7570 3648 7571 3681 7571 3664 7571 3680 7572 3664 7572 3683 7572 3684 7573 3674 7573 3682 7573 3685 7574 3682 7574 3674 7574 3681 7575 3684 7575 3682 7575 3685 7576 3683 7576 3682 7576 3684 7577 3673 7577 3674 7577 3675 7578 3685 7578 3674 7578 3686 7579 3644 7579 3661 7579 3653 7580 3644 7580 3687 7580 3688 7581 3687 7581 3644 7581 3686 7582 3688 7582 3644 7582 3677 7583 3689 7583 3661 7583 3690 7584 3661 7584 3689 7584 3690 7585 3686 7585 3661 7585 3677 7586 3691 7586 3689 7586 3692 7587 3689 7587 3691 7587 3692 7588 3690 7588 3689 7588 3693 7589 3694 7589 3691 7589 3695 7590 3691 7590 3694 7590 3696 7591 3693 7591 3691 7591 3677 7592 3696 7592 3691 7592 3692 7593 3691 7593 3695 7593 3697 7594 3687 7594 3694 7594 3698 7595 3694 7595 3687 7595 3693 7596 3697 7596 3694 7596 3698 7597 3695 7597 3694 7597 3697 7598 3653 7598 3687 7598 3688 7599 3698 7599 3687 7599 3699 7600 3653 7600 3697 7600 3676 7601 3653 7601 3700 7601 3701 7602 3700 7602 3653 7602 3676 7603 3635 7603 3653 7603 3699 7604 3701 7604 3653 7604 3702 7605 3697 7605 3693 7605 3702 7606 3699 7606 3697 7606 3703 7607 3693 7607 3696 7607 3703 7608 3702 7608 3693 7608 3704 7609 3705 7609 3696 7609 3706 7610 3696 7610 3705 7610 3704 7611 3696 7611 3677 7611 3703 7612 3696 7612 3706 7612 3676 7613 3700 7613 3705 7613 3707 7614 3705 7614 3700 7614 3704 7615 3676 7615 3705 7615 3707 7616 3706 7616 3705 7616 3701 7617 3707 7617 3700 7617 3708 7618 3673 7618 3684 7618 3676 7619 3673 7619 3709 7619 3710 7620 3709 7620 3673 7620 3708 7621 3710 7621 3673 7621 3711 7622 3684 7622 3681 7622 3711 7623 3708 7623 3684 7623 3712 7624 3681 7624 3648 7624 3712 7625 3711 7625 3681 7625 3713 7626 3648 7626 3635 7626 3712 7627 3648 7627 3713 7627 3676 7628 3709 7628 3635 7628 3714 7629 3635 7629 3709 7629 3714 7630 3713 7630 3635 7630 3710 7631 3714 7631 3709 7631 3715 7632 3716 7632 3717 7632 3718 7633 3717 7633 3716 7633 3719 7634 3715 7634 3717 7634 3720 7635 3719 7635 3717 7635 3720 7636 3717 7636 3718 7636 3721 7637 3722 7637 3716 7637 3718 7638 3716 7638 3722 7638 3715 7639 3721 7639 3716 7639 3723 7640 3724 7640 3722 7640 3725 7641 3722 7641 3724 7641 3721 7642 3723 7642 3722 7642 3718 7643 3722 7643 3725 7643 3726 7644 3727 7644 3724 7644 3728 7645 3724 7645 3727 7645 3723 7646 3726 7646 3724 7646 3729 7647 3724 7647 3728 7647 3725 7648 3724 7648 3729 7648 3726 7649 3730 7649 3727 7649 3728 7650 3727 7650 3730 7650 3704 7651 3677 7651 3730 7651 3731 7652 3730 7652 3677 7652 3726 7653 3704 7653 3730 7653 3732 7654 3730 7654 3733 7654 3731 7655 3733 7655 3730 7655 3728 7656 3730 7656 3732 7656 3734 7657 3677 7657 3669 7657 3731 7658 3677 7658 3734 7658 3735 7659 3736 7659 3669 7659 3737 7660 3669 7660 3736 7660 3676 7661 3735 7661 3669 7661 3738 7662 3739 7662 3669 7662 3740 7663 3669 7663 3739 7663 3737 7664 3738 7664 3669 7664 3740 7665 3741 7665 3669 7665 3742 7666 3669 7666 3741 7666 3743 7667 3744 7667 3669 7667 3734 7668 3669 7668 3744 7668 3742 7669 3743 7669 3669 7669 3745 7670 3746 7670 3736 7670 3747 7671 3736 7671 3746 7671 3748 7672 3745 7672 3736 7672 3749 7673 3748 7673 3736 7673 3735 7674 3749 7674 3736 7674 3750 7675 3736 7675 3747 7675 3750 7676 3737 7676 3736 7676 3751 7677 3746 7677 3745 7677 3752 7678 3746 7678 3751 7678 3753 7679 3746 7679 3752 7679 3747 7680 3746 7680 3753 7680 3754 7681 3755 7681 3745 7681 3751 7682 3745 7682 3755 7682 3748 7683 3754 7683 3745 7683 3756 7684 3757 7684 3755 7684 3758 7685 3755 7685 3757 7685 3754 7686 3756 7686 3755 7686 3751 7687 3755 7687 3758 7687 3759 7688 3760 7688 3757 7688 3761 7689 3757 7689 3760 7689 3762 7690 3759 7690 3757 7690 3756 7691 3762 7691 3757 7691 3763 7692 3757 7692 3761 7692 3758 7693 3757 7693 3763 7693 3764 7694 3760 7694 3759 7694 3765 7695 3761 7695 3760 7695 3766 7696 3765 7696 3760 7696 3764 7697 3766 7697 3760 7697 3767 7698 3759 7698 3762 7698 3768 7699 3764 7699 3759 7699 3769 7700 3768 7700 3759 7700 3767 7701 3769 7701 3759 7701 3770 7702 3762 7702 3756 7702 3767 7703 3762 7703 3770 7703 3770 7704 3756 7704 3754 7704 3771 7705 3754 7705 3748 7705 3770 7706 3754 7706 3771 7706 3772 7707 3748 7707 3749 7707 3773 7708 3748 7708 3772 7708 3771 7709 3748 7709 3773 7709 3772 7710 3749 7710 3735 7710 3774 7711 3735 7711 3676 7711 3775 7712 3735 7712 3776 7712 3774 7713 3776 7713 3735 7713 3772 7714 3735 7714 3775 7714 3777 7715 3676 7715 3704 7715 3774 7716 3676 7716 3777 7716 3778 7717 3704 7717 3726 7717 3779 7718 3780 7718 3704 7718 3777 7719 3704 7719 3780 7719 3781 7720 3779 7720 3704 7720 3782 7721 3781 7721 3704 7721 3783 7722 3784 7722 3704 7722 3785 7723 3704 7723 3784 7723 3778 7724 3783 7724 3704 7724 3785 7725 3782 7725 3704 7725 3723 7726 3786 7726 3726 7726 3787 7727 3726 7727 3786 7727 3788 7728 3726 7728 3787 7728 3788 7729 3778 7729 3726 7729 3789 7730 3786 7730 3723 7730 3790 7731 3786 7731 3789 7731 3791 7732 3786 7732 3790 7732 3787 7733 3786 7733 3791 7733 3789 7734 3723 7734 3721 7734 3792 7735 3721 7735 3715 7735 3789 7736 3721 7736 3792 7736 3719 7737 3793 7737 3715 7737 3794 7738 3715 7738 3793 7738 3795 7739 3715 7739 3794 7739 3792 7740 3715 7740 3795 7740 3796 7741 3793 7741 3719 7741 3797 7742 3794 7742 3793 7742 3798 7743 3797 7743 3793 7743 3796 7744 3798 7744 3793 7744 3799 7745 3796 7745 3719 7745 3800 7746 3799 7746 3719 7746 3720 7747 3800 7747 3719 7747 3801 7748 3802 7748 3803 7748 3804 7749 3803 7749 3802 7749 3805 7750 3801 7750 3803 7750 3806 7751 3805 7751 3803 7751 3804 7752 3806 7752 3803 7752 3807 7753 3802 7753 3801 7753 3807 7754 3804 7754 3802 7754 3808 7755 3801 7755 3805 7755 3807 7756 3801 7756 3808 7756 3806 7757 3809 7757 3805 7757 3810 7758 3805 7758 3809 7758 3811 7759 3805 7759 3810 7759 3808 7760 3805 7760 3811 7760 3812 7761 3813 7761 3809 7761 3814 7762 3809 7762 3813 7762 3806 7763 3812 7763 3809 7763 3810 7764 3809 7764 3814 7764 3815 7765 3816 7765 3813 7765 3817 7766 3813 7766 3816 7766 3812 7767 3815 7767 3813 7767 3814 7768 3813 7768 3817 7768 3818 7769 3816 7769 3815 7769 3817 7770 3816 7770 3818 7770 3819 7771 3815 7771 3812 7771 3818 7772 3815 7772 3819 7772 3820 7773 3812 7773 3806 7773 3819 7774 3812 7774 3820 7774 3820 7775 3806 7775 3804 7775 3821 7776 3652 7776 3822 7776 3651 7777 3822 7777 3652 7777 3823 7778 3822 7778 3824 7778 3640 7779 3824 7779 3822 7779 3823 7780 3825 7780 3822 7780 3821 7781 3822 7781 3825 7781 3640 7782 3822 7782 3651 7782 3821 7783 3826 7783 3652 7783 3650 7784 3652 7784 3826 7784 3821 7785 3827 7785 3826 7785 3646 7786 3826 7786 3827 7786 3646 7787 3650 7787 3826 7787 3823 7788 3643 7788 3827 7788 3642 7789 3827 7789 3643 7789 3823 7790 3827 7790 3828 7790 3821 7791 3828 7791 3827 7791 3642 7792 3646 7792 3827 7792 3823 7793 3824 7793 3643 7793 3638 7794 3643 7794 3824 7794 3638 7795 3824 7795 3640 7795 3829 7796 3668 7796 3830 7796 3667 7797 3830 7797 3668 7797 3831 7798 3830 7798 3832 7798 3657 7799 3832 7799 3830 7799 3829 7800 3830 7800 3831 7800 3657 7801 3830 7801 3667 7801 3829 7802 3833 7802 3668 7802 3666 7803 3668 7803 3833 7803 3829 7804 3834 7804 3833 7804 3663 7805 3833 7805 3834 7805 3663 7806 3666 7806 3833 7806 3835 7807 3660 7807 3834 7807 3659 7808 3834 7808 3660 7808 3835 7809 3834 7809 3829 7809 3659 7810 3663 7810 3834 7810 3836 7811 3832 7811 3660 7811 3656 7812 3660 7812 3832 7812 3837 7813 3836 7813 3660 7813 3835 7814 3837 7814 3660 7814 3836 7815 3831 7815 3832 7815 3656 7816 3832 7816 3657 7816 3838 7817 3839 7817 3840 7817 3841 7818 3840 7818 3839 7818 3823 7819 3840 7819 3842 7819 3843 7820 3842 7820 3840 7820 3838 7821 3840 7821 3828 7821 3823 7822 3828 7822 3840 7822 3844 7823 3840 7823 3841 7823 3844 7824 3843 7824 3840 7824 3845 7825 3846 7825 3839 7825 3847 7826 3839 7826 3846 7826 3838 7827 3845 7827 3839 7827 3848 7828 3839 7828 3847 7828 3848 7829 3841 7829 3839 7829 3849 7830 3831 7830 3846 7830 3850 7831 3846 7831 3831 7831 3845 7832 3849 7832 3846 7832 3851 7833 3847 7833 3846 7833 3852 7834 3851 7834 3846 7834 3850 7835 3852 7835 3846 7835 3853 7836 3831 7836 3836 7836 3829 7837 3831 7837 3849 7837 3853 7838 3850 7838 3831 7838 3837 7839 3842 7839 3836 7839 3854 7840 3836 7840 3842 7840 3855 7841 3853 7841 3836 7841 3856 7842 3855 7842 3836 7842 3854 7843 3856 7843 3836 7843 3837 7844 3823 7844 3842 7844 3854 7845 3842 7845 3843 7845 3821 7846 3857 7846 3828 7846 3858 7847 3828 7847 3857 7847 3859 7848 3838 7848 3828 7848 3859 7849 3828 7849 3858 7849 3860 7850 3861 7850 3857 7850 3862 7851 3857 7851 3861 7851 3821 7852 3860 7852 3857 7852 3863 7853 3858 7853 3857 7853 3864 7854 3863 7854 3857 7854 3862 7855 3864 7855 3857 7855 3865 7856 3849 7856 3861 7856 3866 7857 3861 7857 3849 7857 3867 7858 3865 7858 3861 7858 3868 7859 3867 7859 3861 7859 3869 7860 3868 7860 3861 7860 3870 7861 3869 7861 3861 7861 3860 7862 3870 7862 3861 7862 3862 7863 3861 7863 3866 7863 3871 7864 3849 7864 3845 7864 3865 7865 3829 7865 3849 7865 3872 7866 3866 7866 3849 7866 3871 7867 3872 7867 3849 7867 3873 7868 3845 7868 3838 7868 3874 7869 3871 7869 3845 7869 3874 7870 3845 7870 3873 7870 3875 7871 3873 7871 3838 7871 3876 7872 3875 7872 3838 7872 3859 7873 3876 7873 3838 7873 3877 7874 3878 7874 3879 7874 3672 7875 3879 7875 3878 7875 3747 7876 3879 7876 3880 7876 3679 7877 3880 7877 3879 7877 3881 7878 3877 7878 3879 7878 3747 7879 3881 7879 3879 7879 3679 7880 3879 7880 3672 7880 3882 7881 3883 7881 3878 7881 3675 7882 3878 7882 3883 7882 3884 7883 3878 7883 3877 7883 3885 7884 3878 7884 3884 7884 3882 7885 3878 7885 3885 7885 3672 7886 3878 7886 3675 7886 3886 7887 3829 7887 3883 7887 3685 7888 3883 7888 3829 7888 3887 7889 3883 7889 3882 7889 3887 7890 3886 7890 3883 7890 3675 7891 3883 7891 3685 7891 3865 7892 3888 7892 3829 7892 3683 7893 3829 7893 3888 7893 3889 7894 3835 7894 3829 7894 3886 7895 3889 7895 3829 7895 3685 7896 3829 7896 3683 7896 3747 7897 3880 7897 3888 7897 3680 7898 3888 7898 3880 7898 3890 7899 3888 7899 3825 7899 3821 7900 3825 7900 3888 7900 3747 7901 3888 7901 3890 7901 3891 7902 3888 7902 3865 7902 3892 7903 3821 7903 3888 7903 3893 7904 3892 7904 3888 7904 3894 7905 3893 7905 3888 7905 3895 7906 3894 7906 3888 7906 3896 7907 3895 7907 3888 7907 3897 7908 3896 7908 3888 7908 3891 7909 3897 7909 3888 7909 3680 7910 3683 7910 3888 7910 3680 7911 3880 7911 3679 7911 3898 7912 3899 7912 3825 7912 3686 7913 3825 7913 3899 7913 3690 7914 3890 7914 3825 7914 3900 7915 3825 7915 3823 7915 3901 7916 3825 7916 3900 7916 3902 7917 3825 7917 3901 7917 3902 7918 3898 7918 3825 7918 3690 7919 3825 7919 3686 7919 3903 7920 3904 7920 3899 7920 3688 7921 3899 7921 3904 7921 3898 7922 3903 7922 3899 7922 3686 7923 3899 7923 3688 7923 3905 7924 3906 7924 3904 7924 3698 7925 3904 7925 3906 7925 3903 7926 3905 7926 3904 7926 3688 7927 3904 7927 3698 7927 3907 7928 3908 7928 3906 7928 3695 7929 3906 7929 3908 7929 3909 7930 3906 7930 3905 7930 3910 7931 3907 7931 3906 7931 3911 7932 3910 7932 3906 7932 3909 7933 3911 7933 3906 7933 3698 7934 3906 7934 3695 7934 3747 7935 3890 7935 3908 7935 3692 7936 3908 7936 3890 7936 3907 7937 3733 7937 3908 7937 3747 7938 3908 7938 3733 7938 3692 7939 3695 7939 3908 7939 3692 7940 3890 7940 3690 7940 3699 7941 3823 7941 3837 7941 3900 7942 3823 7942 3912 7942 3702 7943 3912 7943 3823 7943 3702 7944 3823 7944 3699 7944 3787 7945 3913 7945 3837 7945 3701 7946 3837 7946 3913 7946 3835 7947 3914 7947 3837 7947 3787 7948 3837 7948 3914 7948 3699 7949 3837 7949 3701 7949 3787 7950 3915 7950 3913 7950 3707 7951 3913 7951 3915 7951 3701 7952 3913 7952 3707 7952 3909 7953 3905 7953 3915 7953 3706 7954 3915 7954 3905 7954 3916 7955 3909 7955 3915 7955 3787 7956 3916 7956 3915 7956 3707 7957 3915 7957 3706 7957 3917 7958 3912 7958 3905 7958 3703 7959 3905 7959 3912 7959 3903 7960 3917 7960 3905 7960 3703 7961 3706 7961 3905 7961 3918 7962 3900 7962 3912 7962 3919 7963 3918 7963 3912 7963 3917 7964 3919 7964 3912 7964 3703 7965 3912 7965 3702 7965 3920 7966 3921 7966 3877 7966 3708 7967 3877 7967 3921 7967 3711 7968 3884 7968 3877 7968 3922 7969 3920 7969 3877 7969 3923 7970 3922 7970 3877 7970 3881 7971 3923 7971 3877 7971 3711 7972 3877 7972 3708 7972 3787 7973 3914 7973 3921 7973 3710 7974 3921 7974 3914 7974 3776 7975 3787 7975 3921 7975 3920 7976 3776 7976 3921 7976 3708 7977 3921 7977 3710 7977 3714 7978 3914 7978 3835 7978 3710 7979 3914 7979 3714 7979 3924 7980 3925 7980 3835 7980 3713 7981 3835 7981 3925 7981 3926 7982 3924 7982 3835 7982 3889 7983 3926 7983 3835 7983 3714 7984 3835 7984 3713 7984 3885 7985 3884 7985 3925 7985 3712 7986 3925 7986 3884 7986 3927 7987 3885 7987 3925 7987 3924 7988 3927 7988 3925 7988 3712 7989 3713 7989 3925 7989 3712 7990 3884 7990 3711 7990 3928 7991 3900 7991 3918 7991 3901 7992 3900 7992 3929 7992 3930 7993 3929 7993 3900 7993 3930 7994 3900 7994 3928 7994 3931 7995 3918 7995 3919 7995 3928 7996 3918 7996 3931 7996 3932 7997 3919 7997 3917 7997 3931 7998 3919 7998 3932 7998 3933 7999 3934 7999 3917 7999 3935 8000 3917 8000 3934 8000 3903 8001 3933 8001 3917 8001 3932 8002 3917 8002 3935 8002 3936 8003 3929 8003 3934 8003 3937 8004 3934 8004 3929 8004 3933 8005 3936 8005 3934 8005 3937 8006 3935 8006 3934 8006 3936 8007 3901 8007 3929 8007 3937 8008 3929 8008 3930 8008 3938 8009 3885 8009 3927 8009 3882 8010 3885 8010 3939 8010 3940 8011 3939 8011 3885 8011 3940 8012 3885 8012 3938 8012 3941 8013 3927 8013 3924 8013 3938 8014 3927 8014 3941 8014 3942 8015 3924 8015 3926 8015 3941 8016 3924 8016 3942 8016 3943 8017 3944 8017 3926 8017 3945 8018 3926 8018 3944 8018 3889 8019 3943 8019 3926 8019 3942 8020 3926 8020 3945 8020 3946 8021 3939 8021 3944 8021 3947 8022 3944 8022 3939 8022 3943 8023 3946 8023 3944 8023 3947 8024 3945 8024 3944 8024 3946 8025 3882 8025 3939 8025 3947 8026 3939 8026 3940 8026 3948 8027 3865 8027 3867 8027 3949 8028 3891 8028 3865 8028 3948 8029 3949 8029 3865 8029 3950 8030 3867 8030 3868 8030 3948 8031 3867 8031 3950 8031 3951 8032 3868 8032 3869 8032 3950 8033 3868 8033 3951 8033 3952 8034 3869 8034 3870 8034 3951 8035 3869 8035 3952 8035 3952 8036 3870 8036 3860 8036 3953 8037 3860 8037 3821 8037 3952 8038 3860 8038 3953 8038 3954 8039 3821 8039 3892 8039 3953 8040 3821 8040 3954 8040 3955 8041 3892 8041 3893 8041 3954 8042 3892 8042 3955 8042 3956 8043 3893 8043 3894 8043 3955 8044 3893 8044 3956 8044 3957 8045 3894 8045 3895 8045 3958 8046 3894 8046 3957 8046 3956 8047 3894 8047 3958 8047 3959 8048 3895 8048 3896 8048 3957 8049 3895 8049 3959 8049 3960 8050 3896 8050 3897 8050 3959 8051 3896 8051 3960 8051 3961 8052 3897 8052 3891 8052 3960 8053 3897 8053 3961 8053 3961 8054 3891 8054 3949 8054 3962 8055 3901 8055 3936 8055 3963 8056 3902 8056 3901 8056 3963 8057 3901 8057 3962 8057 3964 8058 3936 8058 3933 8058 3962 8059 3936 8059 3964 8059 3965 8060 3933 8060 3903 8060 3964 8061 3933 8061 3965 8061 3966 8062 3903 8062 3898 8062 3965 8063 3903 8063 3966 8063 3967 8064 3898 8064 3902 8064 3967 8065 3966 8065 3898 8065 3967 8066 3902 8066 3963 8066 3968 8067 3882 8067 3946 8067 3969 8068 3887 8068 3882 8068 3969 8069 3882 8069 3968 8069 3970 8070 3946 8070 3943 8070 3968 8071 3946 8071 3970 8071 3971 8072 3943 8072 3889 8072 3970 8073 3943 8073 3971 8073 3972 8074 3889 8074 3886 8074 3971 8075 3889 8075 3972 8075 3973 8076 3886 8076 3887 8076 3973 8077 3972 8077 3886 8077 3973 8078 3887 8078 3969 8078 3729 8079 3732 8079 3733 8079 3907 8080 3729 8080 3733 8080 3750 8081 3747 8081 3733 8081 3737 8082 3733 8082 3734 8082 3731 8083 3734 8083 3733 8083 3750 8084 3733 8084 3737 8084 3729 8085 3728 8085 3732 8085 3907 8086 3725 8086 3729 8086 3907 8087 3718 8087 3725 8087 3974 8088 3718 8088 3907 8088 3720 8089 3718 8089 3974 8089 3974 8090 3907 8090 3910 8090 3975 8091 3910 8091 3911 8091 3974 8092 3910 8092 3975 8092 3976 8093 3911 8093 3909 8093 3975 8094 3911 8094 3976 8094 3977 8095 3909 8095 3916 8095 3978 8096 3976 8096 3909 8096 3977 8097 3978 8097 3909 8097 3787 8098 3979 8098 3916 8098 3980 8099 3916 8099 3979 8099 3977 8100 3916 8100 3980 8100 3787 8101 3981 8101 3979 8101 3982 8102 3979 8102 3981 8102 3982 8103 3980 8103 3979 8103 3787 8104 3983 8104 3981 8104 3984 8105 3981 8105 3983 8105 3982 8106 3981 8106 3984 8106 3794 8107 3985 8107 3983 8107 3986 8108 3983 8108 3985 8108 3795 8109 3794 8109 3983 8109 3792 8110 3795 8110 3983 8110 3789 8111 3792 8111 3983 8111 3790 8112 3789 8112 3983 8112 3791 8113 3790 8113 3983 8113 3787 8114 3791 8114 3983 8114 3984 8115 3983 8115 3986 8115 3987 8116 3985 8116 3794 8116 3987 8117 3988 8117 3985 8117 3986 8118 3985 8118 3988 8118 3987 8119 3794 8119 3797 8119 3788 8120 3787 8120 3776 8120 3773 8121 3775 8121 3776 8121 3920 8122 3773 8122 3776 8122 3778 8123 3776 8123 3777 8123 3774 8124 3777 8124 3776 8124 3788 8125 3776 8125 3778 8125 3773 8126 3772 8126 3775 8126 3920 8127 3771 8127 3773 8127 3920 8128 3770 8128 3771 8128 3989 8129 3770 8129 3920 8129 3767 8130 3770 8130 3989 8130 3989 8131 3920 8131 3922 8131 3990 8132 3922 8132 3923 8132 3989 8133 3922 8133 3990 8133 3991 8134 3923 8134 3881 8134 3990 8135 3923 8135 3991 8135 3747 8136 3992 8136 3881 8136 3993 8137 3881 8137 3992 8137 3994 8138 3991 8138 3881 8138 3993 8139 3994 8139 3881 8139 3747 8140 3995 8140 3992 8140 3996 8141 3992 8141 3995 8141 3993 8142 3992 8142 3996 8142 3747 8143 3997 8143 3995 8143 3998 8144 3995 8144 3997 8144 3998 8145 3996 8145 3995 8145 3747 8146 3999 8146 3997 8146 4000 8147 3997 8147 3999 8147 3998 8148 3997 8148 4000 8148 3761 8149 4001 8149 3999 8149 4002 8150 3999 8150 4001 8150 3763 8151 3761 8151 3999 8151 3758 8152 3763 8152 3999 8152 3751 8153 3758 8153 3999 8153 3752 8154 3751 8154 3999 8154 3753 8155 3752 8155 3999 8155 3747 8156 3753 8156 3999 8156 4000 8157 3999 8157 4002 8157 4003 8158 4001 8158 3761 8158 4003 8159 4004 8159 4001 8159 4002 8160 4001 8160 4004 8160 4003 8161 3761 8161 3765 8161 3777 8162 3780 8162 4005 8162 4006 8163 4005 8163 3780 8163 3777 8164 4005 8164 4007 8164 4008 8165 4007 8165 4005 8165 4008 8166 4005 8166 4006 8166 4009 8167 3780 8167 3779 8167 4006 8168 3780 8168 4009 8168 4010 8169 3779 8169 3781 8169 4009 8170 3779 8170 4010 8170 4011 8171 4012 8171 3781 8171 4013 8172 3781 8172 4012 8172 3782 8173 4011 8173 3781 8173 4010 8174 3781 8174 4013 8174 3777 8175 4007 8175 4012 8175 4014 8176 4012 8176 4007 8176 3777 8177 4012 8177 4011 8177 4014 8178 4013 8178 4012 8178 4014 8179 4007 8179 4008 8179 4015 8180 3784 8180 3783 8180 4016 8181 3785 8181 3784 8181 4016 8182 3784 8182 4015 8182 3777 8183 4017 8183 3783 8183 4018 8184 3783 8184 4017 8184 3778 8185 3777 8185 3783 8185 4018 8186 4015 8186 3783 8186 3777 8187 4011 8187 4017 8187 4019 8188 4017 8188 4011 8188 4018 8189 4017 8189 4019 8189 4020 8190 4011 8190 3782 8190 4019 8191 4011 8191 4020 8191 4021 8192 3782 8192 3785 8192 4020 8193 3782 8193 4021 8193 4021 8194 3785 8194 4016 8194 4022 8195 3797 8195 3798 8195 4023 8196 3987 8196 3797 8196 4023 8197 3797 8197 4022 8197 4024 8198 3798 8198 3796 8198 4022 8199 3798 8199 4024 8199 4025 8200 3796 8200 3799 8200 4024 8201 3796 8201 4025 8201 3800 8202 4026 8202 3799 8202 4027 8203 3799 8203 4026 8203 4025 8204 3799 8204 4027 8204 3800 8205 4028 8205 4026 8205 4029 8206 4026 8206 4028 8206 4027 8207 4026 8207 4029 8207 3800 8208 3988 8208 4028 8208 4030 8209 4028 8209 3988 8209 4030 8210 4029 8210 4028 8210 4031 8211 3988 8211 3987 8211 3800 8212 3986 8212 3988 8212 4030 8213 3988 8213 4031 8213 4031 8214 3987 8214 4023 8214 3800 8215 4032 8215 3986 8215 3982 8216 3986 8216 4032 8216 3982 8217 3984 8217 3986 8217 3800 8218 4033 8218 4032 8218 4034 8219 4032 8219 4033 8219 3980 8220 4032 8220 4034 8220 3982 8221 4032 8221 3980 8221 3720 8222 4033 8222 3800 8222 4035 8223 4036 8223 4033 8223 4034 8224 4033 8224 4036 8224 4037 8225 4035 8225 4033 8225 3720 8226 4037 8226 4033 8226 4038 8227 3739 8227 3738 8227 4039 8228 3740 8228 3739 8228 4039 8229 3739 8229 4038 8229 3734 8230 4040 8230 3738 8230 4041 8231 3738 8231 4040 8231 3737 8232 3734 8232 3738 8232 4041 8233 4038 8233 3738 8233 3734 8234 4042 8234 4040 8234 4043 8235 4040 8235 4042 8235 4041 8236 4040 8236 4043 8236 3742 8237 3741 8237 4042 8237 4044 8238 4042 8238 3741 8238 4045 8239 3742 8239 4042 8239 3734 8240 4045 8240 4042 8240 4043 8241 4042 8241 4044 8241 4046 8242 3741 8242 3740 8242 4044 8243 3741 8243 4046 8243 4046 8244 3740 8244 4039 8244 3734 8245 3744 8245 4047 8245 4048 8246 4047 8246 3744 8246 3734 8247 4047 8247 4049 8247 4050 8248 4049 8248 4047 8248 4050 8249 4047 8249 4048 8249 4051 8250 3744 8250 3743 8250 4048 8251 3744 8251 4051 8251 4052 8252 3743 8252 3742 8252 4051 8253 3743 8253 4052 8253 4053 8254 3742 8254 4045 8254 4052 8255 3742 8255 4053 8255 3734 8256 4049 8256 4045 8256 4054 8257 4045 8257 4049 8257 4054 8258 4053 8258 4045 8258 4054 8259 4049 8259 4050 8259 4055 8260 3765 8260 3766 8260 4056 8261 4003 8261 3765 8261 4056 8262 3765 8262 4055 8262 4057 8263 3766 8263 3764 8263 4055 8264 3766 8264 4057 8264 4058 8265 3764 8265 3768 8265 4057 8266 3764 8266 4058 8266 3769 8267 4059 8267 3768 8267 4060 8268 3768 8268 4059 8268 4058 8269 3768 8269 4060 8269 3769 8270 4061 8270 4059 8270 4062 8271 4059 8271 4061 8271 4060 8272 4059 8272 4062 8272 3769 8273 4004 8273 4061 8273 4063 8274 4061 8274 4004 8274 4063 8275 4062 8275 4061 8275 4064 8276 4004 8276 4003 8276 3769 8277 4002 8277 4004 8277 4063 8278 4004 8278 4064 8278 4064 8279 4003 8279 4056 8279 3769 8280 4065 8280 4002 8280 3998 8281 4002 8281 4065 8281 3998 8282 4000 8282 4002 8282 3769 8283 4066 8283 4065 8283 4067 8284 4065 8284 4066 8284 3996 8285 4065 8285 4067 8285 3998 8286 4065 8286 3996 8286 3767 8287 4066 8287 3769 8287 4068 8288 4066 8288 4069 8288 3767 8289 4069 8289 4066 8289 4068 8290 4070 8290 4066 8290 4067 8291 4066 8291 4070 8291 3852 8292 3847 8292 3851 8292 4071 8293 3847 8293 3852 8293 4072 8294 3848 8294 3847 8294 4072 8295 3847 8295 4073 8295 4071 8296 4073 8296 3847 8296 4071 8297 3852 8297 3850 8297 4074 8298 3850 8298 3853 8298 4074 8299 4071 8299 3850 8299 4074 8300 3853 8300 3855 8300 4072 8301 3841 8301 3848 8301 4075 8302 3844 8302 3841 8302 4075 8303 3841 8303 4072 8303 4075 8304 3843 8304 3844 8304 4076 8305 3854 8305 3843 8305 4076 8306 3843 8306 4075 8306 4074 8307 3855 8307 3856 8307 4077 8308 3856 8308 3854 8308 4077 8309 4074 8309 3856 8309 4078 8310 3854 8310 4076 8310 4079 8311 3854 8311 4078 8311 4080 8312 4077 8312 3854 8312 4079 8313 4080 8313 3854 8313 4081 8314 3866 8314 3872 8314 4082 8315 3862 8315 3866 8315 4082 8316 3866 8316 4081 8316 4081 8317 3872 8317 3871 8317 4083 8318 3871 8318 3874 8318 4083 8319 4081 8319 3871 8319 4084 8320 3858 8320 3863 8320 4084 8321 3859 8321 3858 8321 4084 8322 3863 8322 3864 8322 4085 8323 3864 8323 3862 8323 4084 8324 3864 8324 4085 8324 4086 8325 3862 8325 4082 8325 4087 8326 3862 8326 4086 8326 4088 8327 4085 8327 3862 8327 4087 8328 4088 8328 3862 8328 3876 8329 3873 8329 3875 8329 4089 8330 3873 8330 3876 8330 4083 8331 3874 8331 3873 8331 4083 8332 3873 8332 4090 8332 4089 8333 4090 8333 3873 8333 4089 8334 3876 8334 3859 8334 4084 8335 4089 8335 3859 8335 4057 8336 4091 8336 4092 8336 4093 8337 4092 8337 4091 8337 4055 8338 4057 8338 4092 8338 4094 8339 4055 8339 4092 8339 4093 8340 4094 8340 4092 8340 4057 8341 4095 8341 4091 8341 4096 8342 4091 8342 4095 8342 4096 8343 4093 8343 4091 8343 4058 8344 4097 8344 4095 8344 4096 8345 4095 8345 4097 8345 4057 8346 4058 8346 4095 8346 4058 8347 4098 8347 4097 8347 4099 8348 4097 8348 4098 8348 4099 8349 4096 8349 4097 8349 4060 8350 4100 8350 4098 8350 4101 8351 4098 8351 4100 8351 4058 8352 4060 8352 4098 8352 4102 8353 4099 8353 4098 8353 4101 8354 4102 8354 4098 8354 4062 8355 4090 8355 4100 8355 4103 8356 4100 8356 4090 8356 4060 8357 4062 8357 4100 8357 4103 8358 4101 8358 4100 8358 4063 8359 4090 8359 4062 8359 4083 8360 4090 8360 4063 8360 4089 8361 4103 8361 4090 8361 4056 8362 4055 8362 4094 8362 4064 8363 4082 8363 4081 8363 4063 8364 4064 8364 4081 8364 4083 8365 4063 8365 4081 8365 4056 8366 4086 8366 4082 8366 4064 8367 4056 8367 4082 8367 4056 8368 4094 8368 4086 8368 4093 8369 4086 8369 4094 8369 4093 8370 4087 8370 4086 8370 4027 8371 4104 8371 4105 8371 4106 8372 4105 8372 4104 8372 4025 8373 4027 8373 4105 8373 4107 8374 4025 8374 4105 8374 4108 8375 4107 8375 4105 8375 4109 8376 4105 8376 4106 8376 4109 8377 4108 8377 4105 8377 4029 8378 4073 8378 4104 8378 4110 8379 4104 8379 4073 8379 4027 8380 4029 8380 4104 8380 4110 8381 4106 8381 4104 8381 4030 8382 4073 8382 4029 8382 4030 8383 4072 8383 4073 8383 4071 8384 4110 8384 4073 8384 4111 8385 4024 8385 4025 8385 4107 8386 4111 8386 4025 8386 4112 8387 4022 8387 4024 8387 4113 8388 4112 8388 4024 8388 4111 8389 4113 8389 4024 8389 4114 8390 4022 8390 4112 8390 4023 8391 4022 8391 4114 8391 4115 8392 4112 8392 4113 8392 4115 8393 4114 8393 4112 8393 4116 8394 4113 8394 4111 8394 4116 8395 4115 8395 4113 8395 4116 8396 4111 8396 4107 8396 4108 8397 4116 8397 4107 8397 4030 8398 4075 8398 4072 8398 4031 8399 4076 8399 4075 8399 4030 8400 4031 8400 4075 8400 4023 8401 4078 8401 4076 8401 4031 8402 4023 8402 4076 8402 4023 8403 4114 8403 4078 8403 4115 8404 4078 8404 4114 8404 4115 8405 4079 8405 4078 8405 4036 8406 4085 8406 4088 8406 4036 8407 4084 8407 4085 8407 4036 8408 4088 8408 4087 8408 4117 8409 4087 8409 4093 8409 4036 8410 4087 8410 4117 8410 4118 8411 4093 8411 4096 8411 4119 8412 4117 8412 4093 8412 4119 8413 4093 8413 4118 8413 4118 8414 4096 8414 4099 8414 4120 8415 4099 8415 4102 8415 4118 8416 4099 8416 4120 8416 4120 8417 4102 8417 4101 8417 4121 8418 4101 8418 4103 8418 4120 8419 4101 8419 4121 8419 4121 8420 4103 8420 4089 8420 4036 8421 4089 8421 4084 8421 4122 8422 4089 8422 4036 8422 4121 8423 4089 8423 4122 8423 4123 8424 4106 8424 4110 8424 4124 8425 4109 8425 4106 8425 4123 8426 4124 8426 4106 8426 4123 8427 4110 8427 4071 8427 4070 8428 4071 8428 4074 8428 4125 8429 4071 8429 4070 8429 4123 8430 4071 8430 4125 8430 4070 8431 4074 8431 4077 8431 4070 8432 4077 8432 4080 8432 4070 8433 4080 8433 4079 8433 4126 8434 4079 8434 4115 8434 4070 8435 4079 8435 4126 8435 4127 8436 4115 8436 4116 8436 4128 8437 4126 8437 4115 8437 4128 8438 4115 8438 4127 8438 4127 8439 4116 8439 4108 8439 4124 8440 4108 8440 4109 8440 4127 8441 4108 8441 4124 8441 4034 8442 4036 8442 4117 8442 3974 8443 4117 8443 4129 8443 4119 8444 4129 8444 4117 8444 4034 8445 4117 8445 3974 8445 4122 8446 4036 8446 4035 8446 4130 8447 4035 8447 4037 8447 4131 8448 4035 8448 4130 8448 4122 8449 4035 8449 4131 8449 3720 8450 4132 8450 4037 8450 4133 8451 4037 8451 4132 8451 4134 8452 4037 8452 4133 8452 4130 8453 4037 8453 4134 8453 3974 8454 4129 8454 4132 8454 4135 8455 4132 8455 4129 8455 3720 8456 3974 8456 4132 8456 4136 8457 4133 8457 4132 8457 4136 8458 4132 8458 4135 8458 4137 8459 4129 8459 4119 8459 4135 8460 4129 8460 4137 8460 3767 8461 4138 8461 4069 8461 4139 8462 4069 8462 4138 8462 4140 8463 4068 8463 4069 8463 4141 8464 4069 8464 4139 8464 4140 8465 4069 8465 4141 8465 3989 8466 4142 8466 4138 8466 4143 8467 4138 8467 4142 8467 3767 8468 3989 8468 4138 8468 4144 8469 4138 8469 4143 8469 4139 8470 4138 8470 4144 8470 3989 8471 4126 8471 4142 8471 4128 8472 4142 8472 4126 8472 4145 8473 4142 8473 4128 8473 4143 8474 4142 8474 4145 8474 4067 8475 4070 8475 4126 8475 4067 8476 4126 8476 3989 8476 4125 8477 4070 8477 4068 8477 4146 8478 4068 8478 4140 8478 4125 8479 4068 8479 4146 8479 4147 8480 3976 8480 4148 8480 4149 8481 4148 8481 3976 8481 3977 8482 4147 8482 4148 8482 3977 8483 4148 8483 4149 8483 4147 8484 3975 8484 3976 8484 3978 8485 4149 8485 3976 8485 4034 8486 3974 8486 3975 8486 4147 8487 4034 8487 3975 8487 3980 8488 4034 8488 4147 8488 3977 8489 3980 8489 4147 8489 4150 8490 3991 8490 4151 8490 4152 8491 4151 8491 3991 8491 3993 8492 4150 8492 4151 8492 3993 8493 4151 8493 4152 8493 4150 8494 3990 8494 3991 8494 3994 8495 4152 8495 3991 8495 4067 8496 3989 8496 3990 8496 4150 8497 4067 8497 3990 8497 3996 8498 4067 8498 4150 8498 3993 8499 3996 8499 4150 8499 3993 8500 4152 8500 3994 8500 3977 8501 4149 8501 3978 8501 4127 8502 4124 8502 4153 8502 4123 8503 4153 8503 4124 8503 4128 8504 4127 8504 4153 8504 4145 8505 4128 8505 4153 8505 4143 8506 4145 8506 4153 8506 4144 8507 4143 8507 4153 8507 4139 8508 4144 8508 4153 8508 4141 8509 4139 8509 4153 8509 4140 8510 4141 8510 4153 8510 4146 8511 4140 8511 4153 8511 4125 8512 4146 8512 4153 8512 4123 8513 4125 8513 4153 8513 4134 8514 4133 8514 4154 8514 4136 8515 4154 8515 4133 8515 4130 8516 4134 8516 4154 8516 4131 8517 4130 8517 4154 8517 4122 8518 4131 8518 4154 8518 4121 8519 4122 8519 4154 8519 4120 8520 4121 8520 4154 8520 4118 8521 4120 8521 4154 8521 4119 8522 4118 8522 4154 8522 4137 8523 4119 8523 4154 8523 4135 8524 4137 8524 4154 8524 4136 8525 4135 8525 4154 8525 3932 8526 3935 8526 4155 8526 3937 8527 4155 8527 3935 8527 3931 8528 3932 8528 4155 8528 3928 8529 3931 8529 4155 8529 3930 8530 3928 8530 4155 8530 3937 8531 3930 8531 4155 8531 3942 8532 3945 8532 4156 8532 3947 8533 4156 8533 3945 8533 3941 8534 3942 8534 4156 8534 3938 8535 3941 8535 4156 8535 3940 8536 3938 8536 4156 8536 3947 8537 3940 8537 4156 8537 3818 8538 3961 8538 3949 8538 3817 8539 3949 8539 3948 8539 3817 8540 3818 8540 3949 8540 3819 8541 3960 8541 3961 8541 3818 8542 3819 8542 3961 8542 3804 8543 3959 8543 3960 8543 3820 8544 3804 8544 3960 8544 3819 8545 3820 8545 3960 8545 3956 8546 3957 8546 3959 8546 3804 8547 3956 8547 3959 8547 3956 8548 3958 8548 3957 8548 3954 8549 3955 8549 3956 8549 3807 8550 3954 8550 3956 8550 3807 8551 3956 8551 3804 8551 3808 8552 3953 8552 3954 8552 3807 8553 3808 8553 3954 8553 3808 8554 3952 8554 3953 8554 3808 8555 3951 8555 3952 8555 3808 8556 3950 8556 3951 8556 3814 8557 3948 8557 3950 8557 3810 8558 3814 8558 3950 8558 3811 8559 3810 8559 3950 8559 3808 8560 3811 8560 3950 8560 3814 8561 3817 8561 3948 8561 4010 8562 4013 8562 4157 8562 4014 8563 4157 8563 4013 8563 4009 8564 4010 8564 4157 8564 4006 8565 4009 8565 4157 8565 4008 8566 4006 8566 4157 8566 4014 8567 4008 8567 4157 8567 4016 8568 4015 8568 4158 8568 4018 8569 4158 8569 4015 8569 4021 8570 4016 8570 4158 8570 4020 8571 4021 8571 4158 8571 4019 8572 4020 8572 4158 8572 4018 8573 4019 8573 4158 8573 3965 8574 3966 8574 4159 8574 3967 8575 4159 8575 3966 8575 3964 8576 3965 8576 4159 8576 3962 8577 3964 8577 4159 8577 3963 8578 3962 8578 4159 8578 3967 8579 3963 8579 4159 8579 3971 8580 3972 8580 4160 8580 3973 8581 4160 8581 3972 8581 3970 8582 3971 8582 4160 8582 3968 8583 3970 8583 4160 8583 3969 8584 3968 8584 4160 8584 3973 8585 3969 8585 4160 8585 4039 8586 4038 8586 4161 8586 4041 8587 4161 8587 4038 8587 4046 8588 4039 8588 4161 8588 4044 8589 4046 8589 4161 8589 4043 8590 4044 8590 4161 8590 4041 8591 4043 8591 4161 8591 4052 8592 4053 8592 4162 8592 4054 8593 4162 8593 4053 8593 4051 8594 4052 8594 4162 8594 4048 8595 4051 8595 4162 8595 4050 8596 4048 8596 4162 8596 4054 8597 4050 8597 4162 8597 4163 8598 4164 8598 4165 8598 4166 8599 4165 8599 4164 8599 4167 8600 4165 8600 4168 8600 4169 8601 4168 8601 4165 8601 4163 8602 4165 8602 4167 8602 4166 8603 4169 8603 4165 8603 4170 8604 4171 8604 4164 8604 4172 8605 4164 8605 4171 8605 4173 8606 4170 8606 4164 8606 4174 8607 4173 8607 4164 8607 4163 8608 4174 8608 4164 8608 4175 8609 4166 8609 4164 8609 4176 8610 4175 8610 4164 8610 4172 8611 4176 8611 4164 8611 4177 8612 4178 8612 4171 8612 4179 8613 4171 8613 4178 8613 4170 8614 4177 8614 4171 8614 4180 8615 4172 8615 4171 8615 4179 8616 4180 8616 4171 8616 4181 8617 4182 8617 4178 8617 4183 8618 4178 8618 4182 8618 4184 8619 4178 8619 4177 8619 4185 8620 4181 8620 4178 8620 4184 8621 4185 8621 4178 8621 4186 8622 4179 8622 4178 8622 4183 8623 4186 8623 4178 8623 4187 8624 4188 8624 4182 8624 4189 8625 4182 8625 4188 8625 4190 8626 4182 8626 4181 8626 4190 8627 4187 8627 4182 8627 4191 8628 4183 8628 4182 8628 4189 8629 4191 8629 4182 8629 4192 8630 4193 8630 4188 8630 4194 8631 4188 8631 4193 8631 4187 8632 4192 8632 4188 8632 4189 8633 4188 8633 4194 8633 4195 8634 4196 8634 4193 8634 4197 8635 4193 8635 4196 8635 4198 8636 4195 8636 4193 8636 4199 8637 4198 8637 4193 8637 4192 8638 4199 8638 4193 8638 4200 8639 4194 8639 4193 8639 4197 8640 4200 8640 4193 8640 4201 8641 4202 8641 4196 8641 4203 8642 4196 8642 4202 8642 4195 8643 4201 8643 4196 8643 4203 8644 4197 8644 4196 8644 4204 8645 4168 8645 4202 8645 4205 8646 4202 8646 4168 8646 4206 8647 4204 8647 4202 8647 4207 8648 4206 8648 4202 8648 4201 8649 4207 8649 4202 8649 4208 8650 4203 8650 4202 8650 4205 8651 4208 8651 4202 8651 4209 8652 4168 8652 4204 8652 4209 8653 4167 8653 4168 8653 4169 8654 4205 8654 4168 8654 4210 8655 4177 8655 4170 8655 4184 8656 4177 8656 4211 8656 4212 8657 4211 8657 4177 8657 4213 8658 4212 8658 4177 8658 4210 8659 4213 8659 4177 8659 4214 8660 4170 8660 4173 8660 4215 8661 4210 8661 4170 8661 4214 8662 4215 8662 4170 8662 4174 8663 4216 8663 4173 8663 4217 8664 4173 8664 4216 8664 4218 8665 4214 8665 4173 8665 4217 8666 4218 8666 4173 8666 4174 8667 4219 8667 4216 8667 4220 8668 4216 8668 4219 8668 4221 8669 4216 8669 4220 8669 4221 8670 4217 8670 4216 8670 4222 8671 4211 8671 4219 8671 4223 8672 4219 8672 4211 8672 4174 8673 4222 8673 4219 8673 4224 8674 4220 8674 4219 8674 4223 8675 4224 8675 4219 8675 4225 8676 4184 8676 4211 8676 4226 8677 4225 8677 4211 8677 4227 8678 4226 8678 4211 8678 4222 8679 4227 8679 4211 8679 4228 8680 4223 8680 4211 8680 4212 8681 4228 8681 4211 8681 4229 8682 4204 8682 4206 8682 4209 8683 4204 8683 4230 8683 4231 8684 4230 8684 4204 8684 4232 8685 4231 8685 4204 8685 4229 8686 4232 8686 4204 8686 4233 8687 4206 8687 4207 8687 4234 8688 4229 8688 4206 8688 4233 8689 4234 8689 4206 8689 4235 8690 4236 8690 4207 8690 4237 8691 4207 8691 4236 8691 4235 8692 4207 8692 4201 8692 4238 8693 4233 8693 4207 8693 4237 8694 4238 8694 4207 8694 4239 8695 4240 8695 4236 8695 4241 8696 4236 8696 4240 8696 4242 8697 4236 8697 4235 8697 4243 8698 4244 8698 4236 8698 4239 8699 4236 8699 4244 8699 4245 8700 4243 8700 4236 8700 4242 8701 4245 8701 4236 8701 4246 8702 4236 8702 4241 8702 4246 8703 4237 8703 4236 8703 4239 8704 4230 8704 4240 8704 4247 8705 4240 8705 4230 8705 4248 8706 4241 8706 4240 8706 4247 8707 4248 8707 4240 8707 4239 8708 4209 8708 4230 8708 4249 8709 4247 8709 4230 8709 4231 8710 4249 8710 4230 8710 4250 8711 4201 8711 4195 8711 4251 8712 4235 8712 4201 8712 4252 8713 4251 8713 4201 8713 4250 8714 4252 8714 4201 8714 4253 8715 4195 8715 4198 8715 4254 8716 4250 8716 4195 8716 4253 8717 4254 8717 4195 8717 4199 8718 4255 8718 4198 8718 4256 8719 4198 8719 4255 8719 4257 8720 4253 8720 4198 8720 4256 8721 4257 8721 4198 8721 4199 8722 4258 8722 4255 8722 4259 8723 4255 8723 4258 8723 4260 8724 4255 8724 4259 8724 4260 8725 4256 8725 4255 8725 4261 8726 4235 8726 4258 8726 4262 8727 4258 8727 4235 8727 4199 8728 4261 8728 4258 8728 4263 8729 4259 8729 4258 8729 4262 8730 4263 8730 4258 8730 4264 8731 4242 8731 4235 8731 4261 8732 4264 8732 4235 8732 4265 8733 4262 8733 4235 8733 4251 8734 4265 8734 4235 8734 4266 8735 4181 8735 4185 8735 4190 8736 4181 8736 4267 8736 4268 8737 4267 8737 4181 8737 4269 8738 4268 8738 4181 8738 4266 8739 4269 8739 4181 8739 4270 8740 4185 8740 4184 8740 4271 8741 4266 8741 4185 8741 4270 8742 4271 8742 4185 8742 4272 8743 4184 8743 4225 8743 4273 8744 4270 8744 4184 8744 4272 8745 4273 8745 4184 8745 4274 8746 4275 8746 4225 8746 4276 8747 4225 8747 4275 8747 4226 8748 4277 8748 4225 8748 4278 8749 4225 8749 4277 8749 4278 8750 4279 8750 4225 8750 4274 8751 4225 8751 4279 8751 4280 8752 4225 8752 4276 8752 4280 8753 4272 8753 4225 8753 4274 8754 4267 8754 4275 8754 4281 8755 4275 8755 4267 8755 4282 8756 4276 8756 4275 8756 4281 8757 4282 8757 4275 8757 4274 8758 4190 8758 4267 8758 4283 8759 4281 8759 4267 8759 4268 8760 4283 8760 4267 8760 4284 8761 4244 8761 4243 8761 4285 8762 4244 8762 4286 8762 4287 8763 4286 8763 4244 8763 4285 8764 4239 8764 4244 8764 4287 8765 4244 8765 4284 8765 4288 8766 4243 8766 4245 8766 4284 8767 4243 8767 4288 8767 4242 8768 4289 8768 4245 8768 4290 8769 4245 8769 4289 8769 4288 8770 4245 8770 4290 8770 4291 8771 4289 8771 4242 8771 4291 8772 4290 8772 4289 8772 4292 8773 4242 8773 4264 8773 4291 8774 4242 8774 4292 8774 4261 8775 4293 8775 4264 8775 4294 8776 4264 8776 4293 8776 4292 8777 4264 8777 4294 8777 4261 8778 4295 8778 4293 8778 4296 8779 4293 8779 4295 8779 4294 8780 4293 8780 4296 8780 4297 8781 4298 8781 4295 8781 4299 8782 4295 8782 4298 8782 4261 8783 4297 8783 4295 8783 4296 8784 4295 8784 4299 8784 4297 8785 4300 8785 4298 8785 4301 8786 4298 8786 4300 8786 4299 8787 4298 8787 4301 8787 4297 8788 4302 8788 4300 8788 4303 8789 4300 8789 4302 8789 4301 8790 4300 8790 4303 8790 4285 8791 4304 8791 4302 8791 4305 8792 4302 8792 4304 8792 4306 8793 4285 8793 4302 8793 4297 8794 4306 8794 4302 8794 4303 8795 4302 8795 4305 8795 4285 8796 4307 8796 4304 8796 4308 8797 4304 8797 4307 8797 4305 8798 4304 8798 4308 8798 4285 8799 4286 8799 4307 8799 4309 8800 4307 8800 4286 8800 4308 8801 4307 8801 4309 8801 4309 8802 4286 8802 4287 8802 4226 8803 4310 8803 4277 8803 4311 8804 4277 8804 4310 8804 4312 8805 4278 8805 4277 8805 4312 8806 4277 8806 4311 8806 4313 8807 4310 8807 4226 8807 4311 8808 4310 8808 4313 8808 4314 8809 4226 8809 4227 8809 4313 8810 4226 8810 4314 8810 4222 8811 4315 8811 4227 8811 4316 8812 4227 8812 4315 8812 4314 8813 4227 8813 4316 8813 4222 8814 4317 8814 4315 8814 4318 8815 4315 8815 4317 8815 4316 8816 4315 8816 4318 8816 4319 8817 4320 8817 4317 8817 4321 8818 4317 8818 4320 8818 4222 8819 4319 8819 4317 8819 4318 8820 4317 8820 4321 8820 4319 8821 4322 8821 4320 8821 4323 8822 4320 8822 4322 8822 4323 8823 4321 8823 4320 8823 4319 8824 4324 8824 4322 8824 4325 8825 4322 8825 4324 8825 4323 8826 4322 8826 4325 8826 4326 8827 4327 8827 4324 8827 4328 8828 4324 8828 4327 8828 4329 8829 4326 8829 4324 8829 4319 8830 4329 8830 4324 8830 4325 8831 4324 8831 4328 8831 4326 8832 4330 8832 4327 8832 4331 8833 4327 8833 4330 8833 4328 8834 4327 8834 4331 8834 4326 8835 4332 8835 4330 8835 4333 8836 4330 8836 4332 8836 4331 8837 4330 8837 4333 8837 4326 8838 4279 8838 4332 8838 4334 8839 4332 8839 4279 8839 4333 8840 4332 8840 4334 8840 4335 8841 4279 8841 4278 8841 4326 8842 4274 8842 4279 8842 4334 8843 4279 8843 4335 8843 4335 8844 4278 8844 4312 8844 4336 8845 4167 8845 4209 8845 4337 8846 4163 8846 4167 8846 4337 8847 4167 8847 4336 8847 4338 8848 4209 8848 4239 8848 4336 8849 4209 8849 4338 8849 4338 8850 4239 8850 4285 8850 4339 8851 4285 8851 4306 8851 4338 8852 4285 8852 4339 8852 4340 8853 4341 8853 4306 8853 4339 8854 4306 8854 4341 8854 4297 8855 4340 8855 4306 8855 4342 8856 4343 8856 4341 8856 4344 8857 4341 8857 4343 8857 4340 8858 4342 8858 4341 8858 4339 8859 4341 8859 4344 8859 4342 8860 4345 8860 4343 8860 4344 8861 4343 8861 4345 8861 4346 8862 4345 8862 4342 8862 4344 8863 4345 8863 4346 8863 4347 8864 4342 8864 4340 8864 4346 8865 4342 8865 4347 8865 4347 8866 4340 8866 4297 8866 4348 8867 4297 8867 4261 8867 4347 8868 4297 8868 4348 8868 4348 8869 4261 8869 4199 8869 4349 8870 4199 8870 4192 8870 4348 8871 4199 8871 4349 8871 4349 8872 4192 8872 4187 8872 4350 8873 4187 8873 4190 8873 4349 8874 4187 8874 4350 8874 4351 8875 4190 8875 4274 8875 4351 8876 4350 8876 4190 8876 4351 8877 4274 8877 4326 8877 4352 8878 4326 8878 4329 8878 4351 8879 4326 8879 4352 8879 4353 8880 4354 8880 4329 8880 4352 8881 4329 8881 4354 8881 4319 8882 4353 8882 4329 8882 4355 8883 4356 8883 4354 8883 4357 8884 4354 8884 4356 8884 4353 8885 4355 8885 4354 8885 4352 8886 4354 8886 4357 8886 4355 8887 4358 8887 4356 8887 4357 8888 4356 8888 4358 8888 4359 8889 4358 8889 4355 8889 4357 8890 4358 8890 4359 8890 4360 8891 4355 8891 4353 8891 4359 8892 4355 8892 4360 8892 4360 8893 4353 8893 4319 8893 4361 8894 4319 8894 4222 8894 4360 8895 4319 8895 4361 8895 4361 8896 4222 8896 4174 8896 4337 8897 4174 8897 4163 8897 4361 8898 4174 8898 4337 8898 4362 8899 4363 8899 4364 8899 4365 8900 4364 8900 4363 8900 4366 8901 4364 8901 4367 8901 4368 8902 4367 8902 4364 8902 4369 8903 4362 8903 4364 8903 4370 8904 4369 8904 4364 8904 4366 8905 4370 8905 4364 8905 4371 8906 4368 8906 4364 8906 4365 8907 4371 8907 4364 8907 4372 8908 4373 8908 4363 8908 4374 8909 4363 8909 4373 8909 4375 8910 4372 8910 4363 8910 4362 8911 4375 8911 4363 8911 4376 8912 4365 8912 4363 8912 4377 8913 4376 8913 4363 8913 4378 8914 4377 8914 4363 8914 4379 8915 4378 8915 4363 8915 4380 8916 4379 8916 4363 8916 4374 8917 4380 8917 4363 8917 4303 8918 4381 8918 4373 8918 4382 8919 4373 8919 4381 8919 4301 8920 4303 8920 4373 8920 4299 8921 4301 8921 4373 8921 4383 8922 4299 8922 4373 8922 4372 8923 4383 8923 4373 8923 4382 8924 4374 8924 4373 8924 4303 8925 4384 8925 4381 8925 4385 8926 4381 8926 4384 8926 4385 8927 4382 8927 4381 8927 4308 8928 4386 8928 4384 8928 4387 8929 4384 8929 4386 8929 4305 8930 4308 8930 4384 8930 4303 8931 4305 8931 4384 8931 4387 8932 4385 8932 4384 8932 4388 8933 4389 8933 4386 8933 4390 8934 4386 8934 4389 8934 4287 8935 4284 8935 4386 8935 4391 8936 4386 8936 4284 8936 4309 8937 4287 8937 4386 8937 4308 8938 4309 8938 4386 8938 4392 8939 4388 8939 4386 8939 4391 8940 4392 8940 4386 8940 4390 8941 4387 8941 4386 8941 4393 8942 4394 8942 4389 8942 4395 8943 4389 8943 4394 8943 4396 8944 4393 8944 4389 8944 4397 8945 4396 8945 4389 8945 4388 8946 4397 8946 4389 8946 4398 8947 4399 8947 4389 8947 4390 8948 4389 8948 4399 8948 4395 8949 4398 8949 4389 8949 4400 8950 4401 8950 4394 8950 4402 8951 4394 8951 4401 8951 4403 8952 4400 8952 4394 8952 4404 8953 4403 8953 4394 8953 4393 8954 4404 8954 4394 8954 4405 8955 4394 8955 4402 8955 4405 8956 4395 8956 4394 8956 4406 8957 4407 8957 4401 8957 4408 8958 4401 8958 4407 8958 4409 8959 4406 8959 4401 8959 4400 8960 4409 8960 4401 8960 4410 8961 4401 8961 4408 8961 4411 8962 4401 8962 4410 8962 4412 8963 4413 8963 4401 8963 4414 8964 4401 8964 4413 8964 4411 8965 4412 8965 4401 8965 4414 8966 4402 8966 4401 8966 4325 8967 4415 8967 4407 8967 4416 8968 4407 8968 4415 8968 4323 8969 4407 8969 4321 8969 4417 8970 4321 8970 4407 8970 4323 8971 4325 8971 4407 8971 4406 8972 4417 8972 4407 8972 4408 8973 4407 8973 4416 8973 4325 8974 4418 8974 4415 8974 4419 8975 4415 8975 4418 8975 4416 8976 4415 8976 4419 8976 4331 8977 4420 8977 4418 8977 4421 8978 4418 8978 4420 8978 4328 8979 4331 8979 4418 8979 4325 8980 4328 8980 4418 8980 4419 8981 4418 8981 4421 8981 4422 8982 4367 8982 4420 8982 4423 8983 4420 8983 4367 8983 4334 8984 4335 8984 4420 8984 4424 8985 4420 8985 4335 8985 4333 8986 4334 8986 4420 8986 4331 8987 4333 8987 4420 8987 4425 8988 4422 8988 4420 8988 4424 8989 4425 8989 4420 8989 4421 8990 4420 8990 4423 8990 4426 8991 4427 8991 4367 8991 4366 8992 4367 8992 4427 8992 4422 8993 4426 8993 4367 8993 4428 8994 4423 8994 4367 8994 4429 8995 4428 8995 4367 8995 4368 8996 4429 8996 4367 8996 4430 8997 4288 8997 4290 8997 4291 8998 4292 8998 4290 8998 4431 8999 4290 8999 4292 8999 4432 9000 4430 9000 4290 9000 4431 9001 4432 9001 4290 9001 4433 9002 4284 9002 4288 9002 4430 9003 4433 9003 4288 9003 4433 9004 4391 9004 4284 9004 4434 9005 4296 9005 4299 9005 4383 9006 4434 9006 4299 9006 4431 9007 4294 9007 4296 9007 4434 9008 4431 9008 4296 9008 4431 9009 4292 9009 4294 9009 4435 9010 4318 9010 4321 9010 4417 9011 4435 9011 4321 9011 4436 9012 4316 9012 4318 9012 4435 9013 4436 9013 4318 9013 4436 9014 4314 9014 4316 9014 4311 9015 4313 9015 4314 9015 4436 9016 4311 9016 4314 9016 4437 9017 4312 9017 4311 9017 4438 9018 4437 9018 4311 9018 4436 9019 4438 9019 4311 9019 4439 9020 4335 9020 4312 9020 4437 9021 4439 9021 4312 9021 4439 9022 4424 9022 4335 9022 4366 9023 4440 9023 4441 9023 4271 9024 4441 9024 4440 9024 4189 9025 4366 9025 4441 9025 4189 9026 4441 9026 4191 9026 4442 9027 4191 9027 4441 9027 4270 9028 4441 9028 4271 9028 4442 9029 4441 9029 4270 9029 4366 9030 4427 9030 4440 9030 4271 9031 4440 9031 4427 9031 4266 9032 4427 9032 4426 9032 4271 9033 4427 9033 4266 9033 4268 9034 4426 9034 4422 9034 4269 9035 4426 9035 4268 9035 4266 9036 4426 9036 4269 9036 4283 9037 4422 9037 4425 9037 4268 9038 4422 9038 4283 9038 4282 9039 4425 9039 4424 9039 4281 9040 4425 9040 4282 9040 4283 9041 4425 9041 4281 9041 4276 9042 4424 9042 4439 9042 4282 9043 4424 9043 4276 9043 4272 9044 4439 9044 4437 9044 4280 9045 4276 9045 4439 9045 4280 9046 4439 9046 4272 9046 4443 9047 4444 9047 4437 9047 4273 9048 4437 9048 4444 9048 4438 9049 4443 9049 4437 9049 4272 9050 4437 9050 4273 9050 4183 9051 4444 9051 4443 9051 4191 9052 4444 9052 4183 9052 4442 9053 4444 9053 4191 9053 4273 9054 4444 9054 4270 9054 4442 9055 4270 9055 4444 9055 4179 9056 4443 9056 4438 9056 4186 9057 4443 9057 4179 9057 4183 9058 4443 9058 4186 9058 4445 9059 4446 9059 4438 9059 4180 9060 4438 9060 4446 9060 4436 9061 4445 9061 4438 9061 4179 9062 4438 9062 4180 9062 4215 9063 4446 9063 4445 9063 4180 9064 4446 9064 4172 9064 4447 9065 4172 9065 4446 9065 4214 9066 4446 9066 4215 9066 4447 9067 4446 9067 4214 9067 4215 9068 4445 9068 4436 9068 4210 9069 4436 9069 4435 9069 4215 9070 4436 9070 4210 9070 4212 9071 4435 9071 4417 9071 4213 9072 4435 9072 4212 9072 4210 9073 4435 9073 4213 9073 4228 9074 4417 9074 4406 9074 4212 9075 4417 9075 4228 9075 4224 9076 4406 9076 4409 9076 4223 9077 4406 9077 4224 9077 4228 9078 4406 9078 4223 9078 4220 9079 4409 9079 4400 9079 4224 9080 4409 9080 4220 9080 4217 9081 4400 9081 4403 9081 4221 9082 4220 9082 4400 9082 4221 9083 4400 9083 4217 9083 4404 9084 4448 9084 4403 9084 4218 9085 4403 9085 4448 9085 4217 9086 4403 9086 4218 9086 4176 9087 4448 9087 4404 9087 4172 9088 4448 9088 4176 9088 4447 9089 4448 9089 4172 9089 4218 9090 4448 9090 4214 9090 4447 9091 4214 9091 4448 9091 4166 9092 4404 9092 4393 9092 4175 9093 4404 9093 4166 9093 4176 9094 4404 9094 4175 9094 4449 9095 4450 9095 4393 9095 4169 9096 4393 9096 4450 9096 4396 9097 4449 9097 4393 9097 4166 9098 4393 9098 4169 9098 4234 9099 4450 9099 4449 9099 4451 9100 4169 9100 4450 9100 4233 9101 4450 9101 4234 9101 4451 9102 4450 9102 4233 9102 4234 9103 4449 9103 4396 9103 4229 9104 4396 9104 4397 9104 4234 9105 4396 9105 4229 9105 4231 9106 4397 9106 4388 9106 4232 9107 4397 9107 4231 9107 4229 9108 4397 9108 4232 9108 4249 9109 4388 9109 4392 9109 4231 9110 4388 9110 4249 9110 4248 9111 4392 9111 4391 9111 4247 9112 4392 9112 4248 9112 4249 9113 4392 9113 4247 9113 4241 9114 4391 9114 4433 9114 4248 9115 4391 9115 4241 9115 4237 9116 4433 9116 4430 9116 4246 9117 4241 9117 4433 9117 4246 9118 4433 9118 4237 9118 4452 9119 4453 9119 4430 9119 4238 9120 4430 9120 4453 9120 4432 9121 4452 9121 4430 9121 4237 9122 4430 9122 4238 9122 4208 9123 4453 9123 4452 9123 4205 9124 4453 9124 4208 9124 4454 9125 4453 9125 4205 9125 4238 9126 4453 9126 4233 9126 4454 9127 4233 9127 4453 9127 4208 9128 4452 9128 4432 9128 4455 9129 4456 9129 4432 9129 4203 9130 4432 9130 4456 9130 4431 9131 4455 9131 4432 9131 4208 9132 4432 9132 4203 9132 4254 9133 4456 9133 4455 9133 4457 9134 4203 9134 4456 9134 4253 9135 4456 9135 4254 9135 4457 9136 4456 9136 4253 9136 4254 9137 4455 9137 4431 9137 4250 9138 4431 9138 4434 9138 4254 9139 4431 9139 4250 9139 4251 9140 4434 9140 4383 9140 4252 9141 4434 9141 4251 9141 4250 9142 4434 9142 4252 9142 4265 9143 4383 9143 4372 9143 4251 9144 4383 9144 4265 9144 4263 9145 4372 9145 4375 9145 4262 9146 4372 9146 4263 9146 4265 9147 4372 9147 4262 9147 4259 9148 4375 9148 4362 9148 4263 9149 4375 9149 4259 9149 4256 9150 4362 9150 4369 9150 4260 9151 4259 9151 4362 9151 4260 9152 4362 9152 4256 9152 4370 9153 4458 9153 4369 9153 4257 9154 4369 9154 4458 9154 4256 9155 4369 9155 4257 9155 4200 9156 4458 9156 4370 9156 4197 9157 4458 9157 4200 9157 4459 9158 4458 9158 4197 9158 4257 9159 4458 9159 4253 9159 4459 9160 4253 9160 4458 9160 4194 9161 4370 9161 4366 9161 4200 9162 4370 9162 4194 9162 4189 9163 4194 9163 4366 9163 4338 9164 4460 9164 4461 9164 4462 9165 4461 9165 4460 9165 4463 9166 4338 9166 4461 9166 4463 9167 4461 9167 4464 9167 4465 9168 4464 9168 4461 9168 4465 9169 4461 9169 4462 9169 4339 9170 4466 9170 4460 9170 4467 9171 4460 9171 4466 9171 4338 9172 4339 9172 4460 9172 4467 9173 4462 9173 4460 9173 4339 9174 4468 9174 4466 9174 4469 9175 4466 9175 4468 9175 4470 9176 4471 9176 4466 9176 4467 9177 4466 9177 4471 9177 4469 9178 4470 9178 4466 9178 4344 9179 4472 9179 4468 9179 4473 9180 4468 9180 4472 9180 4339 9181 4344 9181 4468 9181 4469 9182 4468 9182 4474 9182 4475 9183 4474 9183 4468 9183 4473 9184 4475 9184 4468 9184 4476 9185 4472 9185 4477 9185 4344 9186 4477 9186 4472 9186 4473 9187 4472 9187 4476 9187 4478 9188 4477 9188 4479 9188 4346 9189 4479 9189 4477 9189 4476 9190 4477 9190 4478 9190 4344 9191 4346 9191 4477 9191 4346 9192 4478 9192 4479 9192 4347 9193 4476 9193 4478 9193 4346 9194 4347 9194 4478 9194 4348 9195 4480 9195 4476 9195 4473 9196 4476 9196 4480 9196 4347 9197 4348 9197 4476 9197 4348 9198 4481 9198 4480 9198 4482 9199 4480 9199 4481 9199 4483 9200 4480 9200 4482 9200 4483 9201 4473 9201 4480 9201 4349 9202 4484 9202 4481 9202 4485 9203 4481 9203 4484 9203 4348 9204 4349 9204 4481 9204 4485 9205 4486 9205 4481 9205 4482 9206 4481 9206 4486 9206 4349 9207 4487 9207 4484 9207 4488 9208 4484 9208 4487 9208 4489 9209 4485 9209 4484 9209 4488 9210 4489 9210 4484 9210 4490 9211 4491 9211 4487 9211 4492 9212 4487 9212 4491 9212 4349 9213 4490 9213 4487 9213 4493 9214 4488 9214 4487 9214 4492 9215 4493 9215 4487 9215 4490 9216 4494 9216 4491 9216 4492 9217 4491 9217 4494 9217 4379 9218 4494 9218 4490 9218 4379 9219 4492 9219 4494 9219 4349 9220 4495 9220 4490 9220 4379 9221 4490 9221 4495 9221 4350 9222 4496 9222 4495 9222 4378 9223 4495 9223 4496 9223 4349 9224 4350 9224 4495 9224 4379 9225 4495 9225 4378 9225 4350 9226 4497 9226 4496 9226 4377 9227 4496 9227 4497 9227 4378 9228 4496 9228 4377 9228 4350 9229 4498 9229 4497 9229 4376 9230 4497 9230 4498 9230 4377 9231 4497 9231 4376 9231 4351 9232 4498 9232 4350 9232 4499 9233 4498 9233 4351 9233 4365 9234 4498 9234 4499 9234 4376 9235 4498 9235 4365 9235 4500 9236 4336 9236 4338 9236 4501 9237 4500 9237 4338 9237 4502 9238 4501 9238 4338 9238 4503 9239 4502 9239 4338 9239 4504 9240 4503 9240 4338 9240 4464 9241 4504 9241 4338 9241 4463 9242 4464 9242 4338 9242 4505 9243 4336 9243 4500 9243 4506 9244 4507 9244 4336 9244 4337 9245 4336 9245 4507 9245 4505 9246 4506 9246 4336 9246 4402 9247 4500 9247 4501 9247 4414 9248 4505 9248 4500 9248 4414 9249 4500 9249 4402 9249 4405 9250 4501 9250 4502 9250 4405 9251 4402 9251 4501 9251 4395 9252 4502 9252 4503 9252 4405 9253 4502 9253 4395 9253 4398 9254 4503 9254 4504 9254 4395 9255 4503 9255 4398 9255 4465 9256 4504 9256 4464 9256 4508 9257 4504 9257 4465 9257 4509 9258 4504 9258 4508 9258 4399 9259 4504 9259 4510 9259 4509 9260 4510 9260 4504 9260 4398 9261 4504 9261 4399 9261 4351 9262 4511 9262 4512 9262 4513 9263 4512 9263 4511 9263 4514 9264 4351 9264 4512 9264 4514 9265 4512 9265 4515 9265 4516 9266 4515 9266 4512 9266 4516 9267 4512 9267 4513 9267 4352 9268 4517 9268 4511 9268 4518 9269 4511 9269 4517 9269 4351 9270 4352 9270 4511 9270 4518 9271 4513 9271 4511 9271 4352 9272 4519 9272 4517 9272 4520 9273 4517 9273 4519 9273 4521 9274 4522 9274 4517 9274 4518 9275 4517 9275 4522 9275 4520 9276 4521 9276 4517 9276 4357 9277 4523 9277 4519 9277 4524 9278 4519 9278 4523 9278 4352 9279 4357 9279 4519 9279 4520 9280 4519 9280 4525 9280 4526 9281 4525 9281 4519 9281 4524 9282 4526 9282 4519 9282 4527 9283 4523 9283 4528 9283 4357 9284 4528 9284 4523 9284 4524 9285 4523 9285 4527 9285 4529 9286 4528 9286 4530 9286 4359 9287 4530 9287 4528 9287 4527 9288 4528 9288 4529 9288 4357 9289 4359 9289 4528 9289 4359 9290 4529 9290 4530 9290 4360 9291 4527 9291 4529 9291 4359 9292 4360 9292 4529 9292 4361 9293 4531 9293 4527 9293 4524 9294 4527 9294 4531 9294 4360 9295 4361 9295 4527 9295 4361 9296 4532 9296 4531 9296 4533 9297 4531 9297 4532 9297 4534 9298 4531 9298 4533 9298 4534 9299 4524 9299 4531 9299 4337 9300 4535 9300 4532 9300 4536 9301 4532 9301 4535 9301 4361 9302 4337 9302 4532 9302 4536 9303 4537 9303 4532 9303 4533 9304 4532 9304 4537 9304 4337 9305 4538 9305 4535 9305 4539 9306 4535 9306 4538 9306 4540 9307 4536 9307 4535 9307 4539 9308 4540 9308 4535 9308 4541 9309 4542 9309 4538 9309 4543 9310 4538 9310 4542 9310 4337 9311 4541 9311 4538 9311 4544 9312 4539 9312 4538 9312 4543 9313 4544 9313 4538 9313 4541 9314 4545 9314 4542 9314 4543 9315 4542 9315 4545 9315 4411 9316 4545 9316 4541 9316 4411 9317 4543 9317 4545 9317 4337 9318 4507 9318 4541 9318 4411 9319 4541 9319 4507 9319 4412 9320 4507 9320 4506 9320 4411 9321 4507 9321 4412 9321 4413 9322 4506 9322 4505 9322 4412 9323 4506 9323 4413 9323 4414 9324 4413 9324 4505 9324 4546 9325 4499 9325 4351 9325 4547 9326 4546 9326 4351 9326 4548 9327 4547 9327 4351 9327 4515 9328 4548 9328 4351 9328 4514 9329 4515 9329 4351 9329 4371 9330 4499 9330 4546 9330 4365 9331 4499 9331 4371 9331 4368 9332 4546 9332 4547 9332 4371 9333 4546 9333 4368 9333 4429 9334 4547 9334 4548 9334 4368 9335 4547 9335 4429 9335 4516 9336 4548 9336 4515 9336 4549 9337 4548 9337 4516 9337 4428 9338 4548 9338 4549 9338 4429 9339 4548 9339 4428 9339 4457 9340 4197 9340 4203 9340 4550 9341 4197 9341 4457 9341 4550 9342 4459 9342 4197 9342 4451 9343 4205 9343 4169 9343 4551 9344 4205 9344 4451 9344 4551 9345 4454 9345 4205 9345 4552 9346 4486 9346 4485 9346 4553 9347 4482 9347 4486 9347 4553 9348 4486 9348 4552 9348 4554 9349 4485 9349 4489 9349 4552 9350 4485 9350 4554 9350 4483 9351 4555 9351 4489 9351 4556 9352 4489 9352 4555 9352 4488 9353 4483 9353 4489 9353 4554 9354 4489 9354 4556 9354 4483 9355 4557 9355 4555 9355 4558 9356 4555 9356 4557 9356 4556 9357 4555 9357 4558 9357 4483 9358 4482 9358 4557 9358 4559 9359 4557 9359 4482 9359 4559 9360 4558 9360 4557 9360 4559 9361 4482 9361 4553 9361 4526 9362 4560 9362 4525 9362 4561 9363 4525 9363 4560 9363 4562 9364 4520 9364 4525 9364 4562 9365 4525 9365 4561 9365 4526 9366 4563 9366 4560 9366 4564 9367 4560 9367 4563 9367 4561 9368 4560 9368 4564 9368 4518 9369 4522 9369 4563 9369 4565 9370 4563 9370 4522 9370 4526 9371 4518 9371 4563 9371 4564 9372 4563 9372 4565 9372 4566 9373 4522 9373 4521 9373 4565 9374 4522 9374 4566 9374 4567 9375 4521 9375 4520 9375 4567 9376 4566 9376 4521 9376 4567 9377 4520 9377 4562 9377 4568 9378 4537 9378 4536 9378 4569 9379 4533 9379 4537 9379 4569 9380 4537 9380 4568 9380 4570 9381 4536 9381 4540 9381 4568 9382 4536 9382 4570 9382 4534 9383 4571 9383 4540 9383 4572 9384 4540 9384 4571 9384 4539 9385 4534 9385 4540 9385 4570 9386 4540 9386 4572 9386 4534 9387 4573 9387 4571 9387 4574 9388 4571 9388 4573 9388 4572 9389 4571 9389 4574 9389 4534 9390 4533 9390 4573 9390 4575 9391 4573 9391 4533 9391 4575 9392 4574 9392 4573 9392 4575 9393 4533 9393 4569 9393 4475 9394 4576 9394 4474 9394 4577 9395 4474 9395 4576 9395 4578 9396 4469 9396 4474 9396 4578 9397 4474 9397 4577 9397 4475 9398 4579 9398 4576 9398 4580 9399 4576 9399 4579 9399 4577 9400 4576 9400 4580 9400 4467 9401 4471 9401 4579 9401 4581 9402 4579 9402 4471 9402 4475 9403 4467 9403 4579 9403 4580 9404 4579 9404 4581 9404 4582 9405 4471 9405 4470 9405 4581 9406 4471 9406 4582 9406 4583 9407 4470 9407 4469 9407 4583 9408 4582 9408 4470 9408 4583 9409 4469 9409 4578 9409 4584 9410 4513 9410 4518 9410 4516 9411 4513 9411 4585 9411 4586 9412 4585 9412 4513 9412 4586 9413 4513 9413 4584 9413 4587 9414 4518 9414 4526 9414 4584 9415 4518 9415 4587 9415 4588 9416 4526 9416 4524 9416 4587 9417 4526 9417 4588 9417 4588 9418 4524 9418 4534 9418 4589 9419 4534 9419 4539 9419 4588 9420 4534 9420 4589 9420 4590 9421 4539 9421 4544 9421 4589 9422 4539 9422 4590 9422 4591 9423 4544 9423 4543 9423 4592 9424 4544 9424 4591 9424 4592 9425 4590 9425 4544 9425 4593 9426 4462 9426 4467 9426 4465 9427 4462 9427 4594 9427 4595 9428 4594 9428 4462 9428 4595 9429 4462 9429 4593 9429 4596 9430 4467 9430 4475 9430 4593 9431 4467 9431 4596 9431 4597 9432 4475 9432 4473 9432 4596 9433 4475 9433 4597 9433 4597 9434 4473 9434 4483 9434 4598 9435 4483 9435 4488 9435 4597 9436 4483 9436 4598 9436 4599 9437 4488 9437 4493 9437 4598 9438 4488 9438 4599 9438 4600 9439 4493 9439 4492 9439 4601 9440 4493 9440 4600 9440 4601 9441 4599 9441 4493 9441 4516 9442 4585 9442 4602 9442 4586 9443 4602 9443 4585 9443 4603 9444 4516 9444 4602 9444 4584 9445 4603 9445 4602 9445 4586 9446 4584 9446 4602 9446 4549 9447 4516 9447 4603 9447 4584 9448 4604 9448 4603 9448 4421 9449 4603 9449 4604 9449 4423 9450 4549 9450 4603 9450 4421 9451 4423 9451 4603 9451 4588 9452 4605 9452 4604 9452 4419 9453 4604 9453 4605 9453 4587 9454 4588 9454 4604 9454 4584 9455 4587 9455 4604 9455 4419 9456 4421 9456 4604 9456 4589 9457 4606 9457 4605 9457 4419 9458 4605 9458 4606 9458 4588 9459 4589 9459 4605 9459 4590 9460 4607 9460 4606 9460 4416 9461 4606 9461 4607 9461 4589 9462 4590 9462 4606 9462 4416 9463 4419 9463 4606 9463 4591 9464 4543 9464 4607 9464 4408 9465 4607 9465 4543 9465 4608 9466 4591 9466 4607 9466 4590 9467 4608 9467 4607 9467 4408 9468 4416 9468 4607 9468 4410 9469 4408 9469 4543 9469 4411 9470 4410 9470 4543 9470 4592 9471 4591 9471 4608 9471 4592 9472 4608 9472 4590 9472 4465 9473 4594 9473 4609 9473 4595 9474 4609 9474 4594 9474 4610 9475 4465 9475 4609 9475 4593 9476 4610 9476 4609 9476 4595 9477 4593 9477 4609 9477 4508 9478 4465 9478 4610 9478 4593 9479 4611 9479 4610 9479 4612 9480 4610 9480 4611 9480 4613 9481 4508 9481 4610 9481 4612 9482 4613 9482 4610 9482 4596 9483 4614 9483 4611 9483 4615 9484 4611 9484 4614 9484 4593 9485 4596 9485 4611 9485 4615 9486 4612 9486 4611 9486 4598 9487 4616 9487 4614 9487 4615 9488 4614 9488 4616 9488 4597 9489 4598 9489 4614 9489 4596 9490 4597 9490 4614 9490 4599 9491 4617 9491 4616 9491 4618 9492 4616 9492 4617 9492 4598 9493 4599 9493 4616 9493 4618 9494 4615 9494 4616 9494 4600 9495 4492 9495 4617 9495 4619 9496 4617 9496 4492 9496 4620 9497 4600 9497 4617 9497 4599 9498 4620 9498 4617 9498 4619 9499 4618 9499 4617 9499 4621 9500 4619 9500 4492 9500 4379 9501 4621 9501 4492 9501 4601 9502 4600 9502 4620 9502 4601 9503 4620 9503 4599 9503 4622 9504 4451 9504 4233 9504 4454 9505 4622 9505 4233 9505 4551 9506 4451 9506 4622 9506 4551 9507 4622 9507 4454 9507 4623 9508 4457 9508 4253 9508 4459 9509 4623 9509 4253 9509 4550 9510 4457 9510 4623 9510 4550 9511 4623 9511 4459 9511 4428 9512 4549 9512 4423 9512 4509 9513 4508 9513 4613 9513 4390 9514 4613 9514 4612 9514 4390 9515 4510 9515 4613 9515 4509 9516 4613 9516 4510 9516 4387 9517 4612 9517 4615 9517 4390 9518 4612 9518 4387 9518 4382 9519 4615 9519 4618 9519 4385 9520 4615 9520 4382 9520 4387 9521 4615 9521 4385 9521 4374 9522 4618 9522 4619 9522 4382 9523 4618 9523 4374 9523 4619 9524 4621 9524 4624 9524 4374 9525 4619 9525 4380 9525 4624 9526 4621 9526 4379 9526 4624 9527 4380 9527 4619 9527 4390 9528 4399 9528 4510 9528 4624 9529 4379 9529 4380 9529 4556 9530 4558 9530 4625 9530 4559 9531 4625 9531 4558 9531 4554 9532 4556 9532 4625 9532 4552 9533 4554 9533 4625 9533 4553 9534 4552 9534 4625 9534 4559 9535 4553 9535 4625 9535 4565 9536 4566 9536 4626 9536 4567 9537 4626 9537 4566 9537 4564 9538 4565 9538 4626 9538 4561 9539 4564 9539 4626 9539 4562 9540 4561 9540 4626 9540 4567 9541 4562 9541 4626 9541 4572 9542 4574 9542 4627 9542 4575 9543 4627 9543 4574 9543 4570 9544 4572 9544 4627 9544 4568 9545 4570 9545 4627 9545 4569 9546 4568 9546 4627 9546 4575 9547 4569 9547 4627 9547 4581 9548 4582 9548 4628 9548 4583 9549 4628 9549 4582 9549 4580 9550 4581 9550 4628 9550 4577 9551 4580 9551 4628 9551 4578 9552 4577 9552 4628 9552 4583 9553 4578 9553 4628 9553 4629 9554 4630 9554 4631 9554 4632 9555 4631 9555 4630 9555 4633 9556 4629 9556 4631 9556 4634 9557 4631 9557 4635 9557 4636 9558 4635 9558 4631 9558 4634 9559 4637 9559 4631 9559 4633 9560 4631 9560 4637 9560 4632 9561 4636 9561 4631 9561 4638 9562 4630 9562 4629 9562 4638 9563 4632 9563 4630 9563 4639 9564 4640 9564 4629 9564 4641 9565 4629 9565 4640 9565 4633 9566 4639 9566 4629 9566 4641 9567 4638 9567 4629 9567 4635 9568 4642 9568 4640 9568 4643 9569 4640 9569 4642 9569 4644 9570 4635 9570 4640 9570 4645 9571 4644 9571 4640 9571 4639 9572 4645 9572 4640 9572 4641 9573 4640 9573 4643 9573 4646 9574 4642 9574 4635 9574 4646 9575 4643 9575 4642 9575 4644 9576 4634 9576 4635 9576 4636 9577 4646 9577 4635 9577 4647 9578 4637 9578 4634 9578 4648 9579 4633 9579 4637 9579 4647 9580 4648 9580 4637 9580 4649 9581 4634 9581 4644 9581 4647 9582 4634 9582 4649 9582 4650 9583 4644 9583 4645 9583 4649 9584 4644 9584 4650 9584 4651 9585 4645 9585 4639 9585 4650 9586 4645 9586 4651 9586 4652 9587 4639 9587 4633 9587 4651 9588 4639 9588 4652 9588 4652 9589 4633 9589 4648 9589 4653 9590 4643 9590 4646 9590 4654 9591 4643 9591 4653 9591 4654 9592 4641 9592 4643 9592 4655 9593 4646 9593 4636 9593 4656 9594 4653 9594 4646 9594 4655 9595 4656 9595 4646 9595 4657 9596 4636 9596 4632 9596 4657 9597 4655 9597 4636 9597 4658 9598 4657 9598 4632 9598 4638 9599 4658 9599 4632 9599 4659 9600 4653 9600 4656 9600 4660 9601 4653 9601 4659 9601 4654 9602 4653 9602 4660 9602 4659 9603 4656 9603 4655 9603 4661 9604 4655 9604 4657 9604 4661 9605 4659 9605 4655 9605 4661 9606 4657 9606 4658 9606 4662 9607 4661 9607 4658 9607 4663 9608 4662 9608 4658 9608 4663 9609 4658 9609 4638 9609 4664 9610 4659 9610 4661 9610 4664 9611 4665 9611 4659 9611 4660 9612 4659 9612 4665 9612 4666 9613 4661 9613 4662 9613 4666 9614 4664 9614 4661 9614 4666 9615 4662 9615 4667 9615 4660 9616 4667 9616 4662 9616 4668 9617 4660 9617 4662 9617 4668 9618 4662 9618 4663 9618 4660 9619 4665 9619 4667 9619 4669 9620 4667 9620 4665 9620 4670 9621 4666 9621 4667 9621 4669 9622 4670 9622 4667 9622 4671 9623 4665 9623 4664 9623 4671 9624 4669 9624 4665 9624 4672 9625 4664 9625 4666 9625 4671 9626 4664 9626 4672 9626 4670 9627 4672 9627 4666 9627 4654 9628 4660 9628 4668 9628 4669 9629 4672 9629 4670 9629 4671 9630 4672 9630 4669 9630 4668 9631 4638 9631 4641 9631 4668 9632 4663 9632 4638 9632 4654 9633 4668 9633 4641 9633 4651 9634 4652 9634 4648 9634 4647 9635 4651 9635 4648 9635 4647 9636 4650 9636 4651 9636 4647 9637 4649 9637 4650 9637 4673 9638 4674 9638 4675 9638 4676 9639 4675 9639 4674 9639 4677 9640 4673 9640 4675 9640 4678 9641 4675 9641 4679 9641 4680 9642 4679 9642 4675 9642 4678 9643 4681 9643 4675 9643 4677 9644 4675 9644 4681 9644 4676 9645 4680 9645 4675 9645 4682 9646 4674 9646 4673 9646 4682 9647 4676 9647 4674 9647 4683 9648 4684 9648 4673 9648 4685 9649 4673 9649 4684 9649 4677 9650 4683 9650 4673 9650 4685 9651 4682 9651 4673 9651 4679 9652 4686 9652 4684 9652 4687 9653 4684 9653 4686 9653 4688 9654 4679 9654 4684 9654 4689 9655 4688 9655 4684 9655 4683 9656 4689 9656 4684 9656 4685 9657 4684 9657 4687 9657 4690 9658 4686 9658 4679 9658 4690 9659 4687 9659 4686 9659 4688 9660 4678 9660 4679 9660 4680 9661 4690 9661 4679 9661 4691 9662 4681 9662 4678 9662 4692 9663 4677 9663 4681 9663 4691 9664 4692 9664 4681 9664 4693 9665 4678 9665 4688 9665 4691 9666 4678 9666 4693 9666 4694 9667 4688 9667 4689 9667 4693 9668 4688 9668 4694 9668 4695 9669 4689 9669 4683 9669 4694 9670 4689 9670 4695 9670 4696 9671 4683 9671 4677 9671 4695 9672 4683 9672 4696 9672 4696 9673 4677 9673 4692 9673 4697 9674 4687 9674 4690 9674 4698 9675 4687 9675 4697 9675 4698 9676 4685 9676 4687 9676 4699 9677 4690 9677 4680 9677 4700 9678 4697 9678 4690 9678 4699 9679 4700 9679 4690 9679 4701 9680 4680 9680 4676 9680 4701 9681 4699 9681 4680 9681 4702 9682 4701 9682 4676 9682 4682 9683 4702 9683 4676 9683 4703 9684 4697 9684 4700 9684 4704 9685 4697 9685 4703 9685 4698 9686 4697 9686 4704 9686 4703 9687 4700 9687 4699 9687 4705 9688 4699 9688 4701 9688 4705 9689 4703 9689 4699 9689 4705 9690 4701 9690 4702 9690 4706 9691 4705 9691 4702 9691 4707 9692 4706 9692 4702 9692 4707 9693 4702 9693 4682 9693 4708 9694 4703 9694 4705 9694 4708 9695 4709 9695 4703 9695 4704 9696 4703 9696 4709 9696 4710 9697 4705 9697 4706 9697 4710 9698 4708 9698 4705 9698 4710 9699 4706 9699 4711 9699 4704 9700 4711 9700 4706 9700 4712 9701 4704 9701 4706 9701 4712 9702 4706 9702 4707 9702 4704 9703 4709 9703 4711 9703 4713 9704 4711 9704 4709 9704 4714 9705 4710 9705 4711 9705 4713 9706 4714 9706 4711 9706 4715 9707 4709 9707 4708 9707 4715 9708 4713 9708 4709 9708 4716 9709 4708 9709 4710 9709 4715 9710 4708 9710 4716 9710 4714 9711 4716 9711 4710 9711 4698 9712 4704 9712 4712 9712 4713 9713 4716 9713 4714 9713 4715 9714 4716 9714 4713 9714 4712 9715 4682 9715 4685 9715 4712 9716 4707 9716 4682 9716 4698 9717 4712 9717 4685 9717 4695 9718 4696 9718 4692 9718 4691 9719 4695 9719 4692 9719 4691 9720 4694 9720 4695 9720 4691 9721 4693 9721 4694 9721 4717 9722 4718 9722 4719 9722 4720 9723 4719 9723 4718 9723 4721 9724 4717 9724 4719 9724 4722 9725 4719 9725 4723 9725 4724 9726 4723 9726 4719 9726 4722 9727 4725 9727 4719 9727 4721 9728 4719 9728 4725 9728 4720 9729 4724 9729 4719 9729 4726 9730 4718 9730 4717 9730 4726 9731 4720 9731 4718 9731 4727 9732 4728 9732 4717 9732 4729 9733 4717 9733 4728 9733 4721 9734 4727 9734 4717 9734 4729 9735 4726 9735 4717 9735 4723 9736 4730 9736 4728 9736 4731 9737 4728 9737 4730 9737 4732 9738 4723 9738 4728 9738 4733 9739 4732 9739 4728 9739 4727 9740 4733 9740 4728 9740 4729 9741 4728 9741 4731 9741 4734 9742 4730 9742 4723 9742 4734 9743 4731 9743 4730 9743 4732 9744 4722 9744 4723 9744 4724 9745 4734 9745 4723 9745 4735 9746 4725 9746 4722 9746 4736 9747 4721 9747 4725 9747 4735 9748 4736 9748 4725 9748 4737 9749 4722 9749 4732 9749 4735 9750 4722 9750 4737 9750 4738 9751 4732 9751 4733 9751 4737 9752 4732 9752 4738 9752 4739 9753 4733 9753 4727 9753 4738 9754 4733 9754 4739 9754 4740 9755 4727 9755 4721 9755 4739 9756 4727 9756 4740 9756 4740 9757 4721 9757 4736 9757 4741 9758 4731 9758 4734 9758 4742 9759 4731 9759 4741 9759 4742 9760 4729 9760 4731 9760 4743 9761 4734 9761 4724 9761 4744 9762 4741 9762 4734 9762 4743 9763 4744 9763 4734 9763 4745 9764 4724 9764 4720 9764 4745 9765 4743 9765 4724 9765 4746 9766 4745 9766 4720 9766 4726 9767 4746 9767 4720 9767 4747 9768 4741 9768 4744 9768 4748 9769 4741 9769 4747 9769 4742 9770 4741 9770 4748 9770 4747 9771 4744 9771 4743 9771 4749 9772 4743 9772 4745 9772 4749 9773 4747 9773 4743 9773 4749 9774 4745 9774 4746 9774 4750 9775 4749 9775 4746 9775 4751 9776 4750 9776 4746 9776 4751 9777 4746 9777 4726 9777 4752 9778 4747 9778 4749 9778 4752 9779 4753 9779 4747 9779 4748 9780 4747 9780 4753 9780 4754 9781 4749 9781 4750 9781 4754 9782 4752 9782 4749 9782 4754 9783 4750 9783 4755 9783 4748 9784 4755 9784 4750 9784 4756 9785 4748 9785 4750 9785 4756 9786 4750 9786 4751 9786 4748 9787 4753 9787 4755 9787 4757 9788 4755 9788 4753 9788 4758 9789 4754 9789 4755 9789 4757 9790 4758 9790 4755 9790 4759 9791 4753 9791 4752 9791 4759 9792 4757 9792 4753 9792 4760 9793 4752 9793 4754 9793 4759 9794 4752 9794 4760 9794 4758 9795 4760 9795 4754 9795 4742 9796 4748 9796 4756 9796 4757 9797 4760 9797 4758 9797 4759 9798 4760 9798 4757 9798 4756 9799 4726 9799 4729 9799 4756 9800 4751 9800 4726 9800 4742 9801 4756 9801 4729 9801 4739 9802 4740 9802 4736 9802 4735 9803 4739 9803 4736 9803 4735 9804 4738 9804 4739 9804 4735 9805 4737 9805 4738 9805 4761 9806 4762 9806 4763 9806 4764 9807 4763 9807 4762 9807 4765 9808 4761 9808 4763 9808 4766 9809 4763 9809 4767 9809 4768 9810 4767 9810 4763 9810 4766 9811 4769 9811 4763 9811 4765 9812 4763 9812 4769 9812 4764 9813 4768 9813 4763 9813 4770 9814 4762 9814 4761 9814 4770 9815 4764 9815 4762 9815 4771 9816 4772 9816 4761 9816 4773 9817 4761 9817 4772 9817 4765 9818 4771 9818 4761 9818 4773 9819 4770 9819 4761 9819 4767 9820 4774 9820 4772 9820 4775 9821 4772 9821 4774 9821 4776 9822 4767 9822 4772 9822 4777 9823 4776 9823 4772 9823 4771 9824 4777 9824 4772 9824 4773 9825 4772 9825 4775 9825 4778 9826 4774 9826 4767 9826 4778 9827 4775 9827 4774 9827 4776 9828 4766 9828 4767 9828 4768 9829 4778 9829 4767 9829 4779 9830 4769 9830 4766 9830 4780 9831 4765 9831 4769 9831 4779 9832 4780 9832 4769 9832 4781 9833 4766 9833 4776 9833 4779 9834 4766 9834 4781 9834 4782 9835 4776 9835 4777 9835 4781 9836 4776 9836 4782 9836 4783 9837 4777 9837 4771 9837 4782 9838 4777 9838 4783 9838 4784 9839 4771 9839 4765 9839 4783 9840 4771 9840 4784 9840 4784 9841 4765 9841 4780 9841 4785 9842 4775 9842 4778 9842 4786 9843 4775 9843 4785 9843 4786 9844 4773 9844 4775 9844 4787 9845 4778 9845 4768 9845 4788 9846 4785 9846 4778 9846 4787 9847 4788 9847 4778 9847 4789 9848 4768 9848 4764 9848 4789 9849 4787 9849 4768 9849 4790 9850 4789 9850 4764 9850 4770 9851 4790 9851 4764 9851 4791 9852 4785 9852 4788 9852 4792 9853 4785 9853 4791 9853 4786 9854 4785 9854 4792 9854 4791 9855 4788 9855 4787 9855 4793 9856 4787 9856 4789 9856 4793 9857 4791 9857 4787 9857 4793 9858 4789 9858 4790 9858 4794 9859 4793 9859 4790 9859 4795 9860 4794 9860 4790 9860 4795 9861 4790 9861 4770 9861 4796 9862 4791 9862 4793 9862 4796 9863 4797 9863 4791 9863 4792 9864 4791 9864 4797 9864 4798 9865 4793 9865 4794 9865 4798 9866 4796 9866 4793 9866 4798 9867 4794 9867 4799 9867 4792 9868 4799 9868 4794 9868 4800 9869 4792 9869 4794 9869 4800 9870 4794 9870 4795 9870 4792 9871 4797 9871 4799 9871 4801 9872 4799 9872 4797 9872 4802 9873 4798 9873 4799 9873 4801 9874 4802 9874 4799 9874 4803 9875 4797 9875 4796 9875 4803 9876 4801 9876 4797 9876 4804 9877 4796 9877 4798 9877 4803 9878 4796 9878 4804 9878 4802 9879 4804 9879 4798 9879 4786 9880 4792 9880 4800 9880 4801 9881 4804 9881 4802 9881 4803 9882 4804 9882 4801 9882 4800 9883 4770 9883 4773 9883 4800 9884 4795 9884 4770 9884 4786 9885 4800 9885 4773 9885 4783 9886 4784 9886 4780 9886 4779 9887 4783 9887 4780 9887 4779 9888 4782 9888 4783 9888 4779 9889 4781 9889 4782 9889 4805 9890 4806 9890 4807 9890 4808 9891 4807 9891 4806 9891 4809 9892 4805 9892 4807 9892 4810 9893 4807 9893 4811 9893 4812 9894 4811 9894 4807 9894 4810 9895 4813 9895 4807 9895 4809 9896 4807 9896 4813 9896 4808 9897 4812 9897 4807 9897 4814 9898 4806 9898 4805 9898 4814 9899 4808 9899 4806 9899 4815 9900 4816 9900 4805 9900 4817 9901 4805 9901 4816 9901 4809 9902 4815 9902 4805 9902 4817 9903 4814 9903 4805 9903 4811 9904 4818 9904 4816 9904 4819 9905 4816 9905 4818 9905 4820 9906 4811 9906 4816 9906 4821 9907 4820 9907 4816 9907 4815 9908 4821 9908 4816 9908 4817 9909 4816 9909 4819 9909 4822 9910 4818 9910 4811 9910 4822 9911 4819 9911 4818 9911 4820 9912 4810 9912 4811 9912 4812 9913 4822 9913 4811 9913 4823 9914 4813 9914 4810 9914 4824 9915 4809 9915 4813 9915 4823 9916 4824 9916 4813 9916 4825 9917 4810 9917 4820 9917 4823 9918 4810 9918 4825 9918 4826 9919 4820 9919 4821 9919 4825 9920 4820 9920 4826 9920 4827 9921 4821 9921 4815 9921 4826 9922 4821 9922 4827 9922 4828 9923 4815 9923 4809 9923 4827 9924 4815 9924 4828 9924 4828 9925 4809 9925 4824 9925 4829 9926 4819 9926 4822 9926 4830 9927 4819 9927 4829 9927 4830 9928 4817 9928 4819 9928 4831 9929 4822 9929 4812 9929 4832 9930 4829 9930 4822 9930 4831 9931 4832 9931 4822 9931 4833 9932 4812 9932 4808 9932 4833 9933 4831 9933 4812 9933 4834 9934 4833 9934 4808 9934 4814 9935 4834 9935 4808 9935 4835 9936 4829 9936 4832 9936 4836 9937 4829 9937 4835 9937 4830 9938 4829 9938 4836 9938 4835 9939 4832 9939 4831 9939 4837 9940 4831 9940 4833 9940 4837 9941 4835 9941 4831 9941 4837 9942 4833 9942 4834 9942 4838 9943 4837 9943 4834 9943 4839 9944 4838 9944 4834 9944 4839 9945 4834 9945 4814 9945 4840 9946 4835 9946 4837 9946 4840 9947 4841 9947 4835 9947 4836 9948 4835 9948 4841 9948 4842 9949 4837 9949 4838 9949 4842 9950 4840 9950 4837 9950 4842 9951 4838 9951 4843 9951 4836 9952 4843 9952 4838 9952 4844 9953 4836 9953 4838 9953 4844 9954 4838 9954 4839 9954 4836 9955 4841 9955 4843 9955 4845 9956 4843 9956 4841 9956 4846 9957 4842 9957 4843 9957 4845 9958 4846 9958 4843 9958 4847 9959 4841 9959 4840 9959 4847 9960 4845 9960 4841 9960 4848 9961 4840 9961 4842 9961 4847 9962 4840 9962 4848 9962 4846 9963 4848 9963 4842 9963 4830 9964 4836 9964 4844 9964 4845 9965 4848 9965 4846 9965 4847 9966 4848 9966 4845 9966 4844 9967 4814 9967 4817 9967 4844 9968 4839 9968 4814 9968 4830 9969 4844 9969 4817 9969 4827 9970 4828 9970 4824 9970 4823 9971 4827 9971 4824 9971 4823 9972 4826 9972 4827 9972 4823 9973 4825 9973 4826 9973 4849 9974 4850 9974 4851 9974 4852 9975 4851 9975 4850 9975 4853 9976 4849 9976 4851 9976 4854 9977 4851 9977 4855 9977 4856 9978 4855 9978 4851 9978 4854 9979 4857 9979 4851 9979 4853 9980 4851 9980 4857 9980 4852 9981 4856 9981 4851 9981 4858 9982 4850 9982 4849 9982 4858 9983 4852 9983 4850 9983 4859 9984 4860 9984 4849 9984 4861 9985 4849 9985 4860 9985 4853 9986 4859 9986 4849 9986 4861 9987 4858 9987 4849 9987 4855 9988 4862 9988 4860 9988 4863 9989 4860 9989 4862 9989 4864 9990 4855 9990 4860 9990 4865 9991 4864 9991 4860 9991 4859 9992 4865 9992 4860 9992 4861 9993 4860 9993 4863 9993 4866 9994 4862 9994 4855 9994 4866 9995 4863 9995 4862 9995 4864 9996 4854 9996 4855 9996 4856 9997 4866 9997 4855 9997 4867 9998 4857 9998 4854 9998 4868 9999 4853 9999 4857 9999 4867 10000 4868 10000 4857 10000 4869 10001 4854 10001 4864 10001 4867 10002 4854 10002 4869 10002 4870 10003 4864 10003 4865 10003 4869 10004 4864 10004 4870 10004 4871 10005 4865 10005 4859 10005 4870 10006 4865 10006 4871 10006 4872 10007 4859 10007 4853 10007 4871 10008 4859 10008 4872 10008 4872 10009 4853 10009 4868 10009 4873 10010 4863 10010 4866 10010 4874 10011 4863 10011 4873 10011 4874 10012 4861 10012 4863 10012 4875 10013 4866 10013 4856 10013 4876 10014 4873 10014 4866 10014 4875 10015 4876 10015 4866 10015 4877 10016 4856 10016 4852 10016 4877 10017 4875 10017 4856 10017 4878 10018 4877 10018 4852 10018 4858 10019 4878 10019 4852 10019 4879 10020 4873 10020 4876 10020 4880 10021 4873 10021 4879 10021 4874 10022 4873 10022 4880 10022 4879 10023 4876 10023 4875 10023 4881 10024 4875 10024 4877 10024 4881 10025 4879 10025 4875 10025 4881 10026 4877 10026 4878 10026 4882 10027 4881 10027 4878 10027 4883 10028 4882 10028 4878 10028 4883 10029 4878 10029 4858 10029 4884 10030 4879 10030 4881 10030 4884 10031 4885 10031 4879 10031 4880 10032 4879 10032 4885 10032 4886 10033 4881 10033 4882 10033 4886 10034 4884 10034 4881 10034 4886 10035 4882 10035 4887 10035 4880 10036 4887 10036 4882 10036 4888 10037 4880 10037 4882 10037 4888 10038 4882 10038 4883 10038 4880 10039 4885 10039 4887 10039 4889 10040 4887 10040 4885 10040 4890 10041 4886 10041 4887 10041 4889 10042 4890 10042 4887 10042 4891 10043 4885 10043 4884 10043 4891 10044 4889 10044 4885 10044 4892 10045 4884 10045 4886 10045 4891 10046 4884 10046 4892 10046 4890 10047 4892 10047 4886 10047 4874 10048 4880 10048 4888 10048 4889 10049 4892 10049 4890 10049 4891 10050 4892 10050 4889 10050 4888 10051 4858 10051 4861 10051 4888 10052 4883 10052 4858 10052 4874 10053 4888 10053 4861 10053 4871 10054 4872 10054 4868 10054 4867 10055 4871 10055 4868 10055 4867 10056 4870 10056 4871 10056 4867 10057 4869 10057 4870 10057 4893 10058 4894 10058 4895 10058 4896 10059 4895 10059 4894 10059 4897 10060 4893 10060 4895 10060 4898 10061 4895 10061 4899 10061 4900 10062 4899 10062 4895 10062 4898 10063 4901 10063 4895 10063 4897 10064 4895 10064 4901 10064 4896 10065 4900 10065 4895 10065 4902 10066 4894 10066 4893 10066 4902 10067 4896 10067 4894 10067 4903 10068 4904 10068 4893 10068 4905 10069 4893 10069 4904 10069 4897 10070 4903 10070 4893 10070 4905 10071 4902 10071 4893 10071 4899 10072 4906 10072 4904 10072 4907 10073 4904 10073 4906 10073 4908 10074 4899 10074 4904 10074 4909 10075 4908 10075 4904 10075 4903 10076 4909 10076 4904 10076 4905 10077 4904 10077 4907 10077 4910 10078 4906 10078 4899 10078 4910 10079 4907 10079 4906 10079 4908 10080 4898 10080 4899 10080 4900 10081 4910 10081 4899 10081 4911 10082 4901 10082 4898 10082 4912 10083 4897 10083 4901 10083 4911 10084 4912 10084 4901 10084 4913 10085 4898 10085 4908 10085 4911 10086 4898 10086 4913 10086 4914 10087 4908 10087 4909 10087 4913 10088 4908 10088 4914 10088 4915 10089 4909 10089 4903 10089 4914 10090 4909 10090 4915 10090 4916 10091 4903 10091 4897 10091 4915 10092 4903 10092 4916 10092 4916 10093 4897 10093 4912 10093 4917 10094 4907 10094 4910 10094 4918 10095 4907 10095 4917 10095 4918 10096 4905 10096 4907 10096 4919 10097 4910 10097 4900 10097 4920 10098 4917 10098 4910 10098 4919 10099 4920 10099 4910 10099 4921 10100 4900 10100 4896 10100 4921 10101 4919 10101 4900 10101 4922 10102 4921 10102 4896 10102 4902 10103 4922 10103 4896 10103 4923 10104 4917 10104 4920 10104 4924 10105 4917 10105 4923 10105 4918 10106 4917 10106 4924 10106 4923 10107 4920 10107 4919 10107 4925 10108 4919 10108 4921 10108 4925 10109 4923 10109 4919 10109 4925 10110 4921 10110 4922 10110 4926 10111 4925 10111 4922 10111 4927 10112 4926 10112 4922 10112 4927 10113 4922 10113 4902 10113 4928 10114 4923 10114 4925 10114 4928 10115 4929 10115 4923 10115 4924 10116 4923 10116 4929 10116 4930 10117 4925 10117 4926 10117 4930 10118 4928 10118 4925 10118 4930 10119 4926 10119 4931 10119 4924 10120 4931 10120 4926 10120 4932 10121 4924 10121 4926 10121 4932 10122 4926 10122 4927 10122 4924 10123 4929 10123 4931 10123 4933 10124 4931 10124 4929 10124 4934 10125 4930 10125 4931 10125 4933 10126 4934 10126 4931 10126 4935 10127 4929 10127 4928 10127 4935 10128 4933 10128 4929 10128 4936 10129 4928 10129 4930 10129 4935 10130 4928 10130 4936 10130 4934 10131 4936 10131 4930 10131 4918 10132 4924 10132 4932 10132 4933 10133 4936 10133 4934 10133 4935 10134 4936 10134 4933 10134 4932 10135 4902 10135 4905 10135 4932 10136 4927 10136 4902 10136 4918 10137 4932 10137 4905 10137 4915 10138 4916 10138 4912 10138 4911 10139 4915 10139 4912 10139 4911 10140 4914 10140 4915 10140 4911 10141 4913 10141 4914 10141 4937 10142 4938 10142 4675 10142 4676 10143 4675 10143 4938 10143 4677 10144 4937 10144 4675 10144 4678 10145 4675 10145 4939 10145 4680 10146 4939 10146 4675 10146 4682 10147 4938 10147 4937 10147 4682 10148 4676 10148 4938 10148 4683 10149 4684 10149 4937 10149 4685 10150 4937 10150 4684 10150 4677 10151 4683 10151 4937 10151 4685 10152 4682 10152 4937 10152 4939 10153 4940 10153 4684 10153 4687 10154 4684 10154 4940 10154 4688 10155 4939 10155 4684 10155 4690 10156 4940 10156 4939 10156 4690 10157 4687 10157 4940 10157 4688 10158 4678 10158 4939 10158 4680 10159 4690 10159 4939 10159 4941 10160 4697 10160 4703 10160 4698 10161 4697 10161 4941 10161 4942 10162 4699 10162 4701 10162 4942 10163 4703 10163 4699 10163 4942 10164 4701 10164 4702 10164 4706 10165 4942 10165 4702 10165 4708 10166 4703 10166 4942 10166 4941 10167 4703 10167 4709 10167 4710 10168 4942 10168 4706 10168 4710 10169 4708 10169 4942 10169 4941 10170 4711 10170 4706 10170 4712 10171 4941 10171 4706 10171 4941 10172 4709 10172 4711 10172 4943 10173 4711 10173 4709 10173 4944 10174 4710 10174 4711 10174 4943 10175 4944 10175 4711 10175 4945 10176 4709 10176 4708 10176 4945 10177 4943 10177 4709 10177 4946 10178 4708 10178 4710 10178 4945 10179 4708 10179 4946 10179 4944 10180 4946 10180 4710 10180 4698 10181 4941 10181 4712 10181 4943 10182 4946 10182 4944 10182 4945 10183 4946 10183 4943 10183 4947 10184 4948 10184 4949 10184 4950 10185 4949 10185 4948 10185 4951 10186 4947 10186 4949 10186 4952 10187 4949 10187 4953 10187 4954 10188 4953 10188 4949 10188 4952 10189 4955 10189 4949 10189 4951 10190 4949 10190 4955 10190 4950 10191 4954 10191 4949 10191 4956 10192 4948 10192 4947 10192 4956 10193 4950 10193 4948 10193 4957 10194 4958 10194 4947 10194 4959 10195 4947 10195 4958 10195 4951 10196 4957 10196 4947 10196 4959 10197 4956 10197 4947 10197 4953 10198 4960 10198 4958 10198 4961 10199 4958 10199 4960 10199 4962 10200 4953 10200 4958 10200 4963 10201 4962 10201 4958 10201 4957 10202 4963 10202 4958 10202 4959 10203 4958 10203 4961 10203 4964 10204 4960 10204 4953 10204 4964 10205 4961 10205 4960 10205 4962 10206 4952 10206 4953 10206 4954 10207 4964 10207 4953 10207 4965 10208 4955 10208 4952 10208 4966 10209 4951 10209 4955 10209 4965 10210 4966 10210 4955 10210 4967 10211 4952 10211 4962 10211 4965 10212 4952 10212 4967 10212 4968 10213 4962 10213 4963 10213 4967 10214 4962 10214 4968 10214 4969 10215 4963 10215 4957 10215 4968 10216 4963 10216 4969 10216 4970 10217 4957 10217 4951 10217 4969 10218 4957 10218 4970 10218 4970 10219 4951 10219 4966 10219 4971 10220 4961 10220 4964 10220 4972 10221 4961 10221 4971 10221 4972 10222 4959 10222 4961 10222 4973 10223 4964 10223 4954 10223 4974 10224 4971 10224 4964 10224 4973 10225 4974 10225 4964 10225 4975 10226 4954 10226 4950 10226 4975 10227 4973 10227 4954 10227 4976 10228 4975 10228 4950 10228 4956 10229 4976 10229 4950 10229 4977 10230 4971 10230 4974 10230 4978 10231 4971 10231 4977 10231 4972 10232 4971 10232 4978 10232 4977 10233 4974 10233 4973 10233 4979 10234 4973 10234 4975 10234 4979 10235 4977 10235 4973 10235 4979 10236 4975 10236 4976 10236 4980 10237 4979 10237 4976 10237 4981 10238 4980 10238 4976 10238 4981 10239 4976 10239 4956 10239 4982 10240 4977 10240 4979 10240 4982 10241 4983 10241 4977 10241 4978 10242 4977 10242 4983 10242 4984 10243 4979 10243 4980 10243 4984 10244 4982 10244 4979 10244 4984 10245 4980 10245 4985 10245 4978 10246 4985 10246 4980 10246 4986 10247 4978 10247 4980 10247 4986 10248 4980 10248 4981 10248 4978 10249 4983 10249 4985 10249 4987 10250 4985 10250 4983 10250 4988 10251 4984 10251 4985 10251 4987 10252 4988 10252 4985 10252 4989 10253 4983 10253 4982 10253 4989 10254 4987 10254 4983 10254 4990 10255 4982 10255 4984 10255 4989 10256 4982 10256 4990 10256 4988 10257 4990 10257 4984 10257 4972 10258 4978 10258 4986 10258 4987 10259 4990 10259 4988 10259 4989 10260 4990 10260 4987 10260 4986 10261 4956 10261 4959 10261 4986 10262 4981 10262 4956 10262 4972 10263 4986 10263 4959 10263 4969 10264 4970 10264 4966 10264 4965 10265 4969 10265 4966 10265 4965 10266 4968 10266 4969 10266 4965 10267 4967 10267 4968 10267 4991 10268 4992 10268 4719 10268 4720 10269 4719 10269 4992 10269 4721 10270 4991 10270 4719 10270 4722 10271 4719 10271 4993 10271 4724 10272 4993 10272 4719 10272 4726 10273 4992 10273 4991 10273 4726 10274 4720 10274 4992 10274 4727 10275 4728 10275 4991 10275 4729 10276 4991 10276 4728 10276 4721 10277 4727 10277 4991 10277 4729 10278 4726 10278 4991 10278 4993 10279 4994 10279 4728 10279 4731 10280 4728 10280 4994 10280 4732 10281 4993 10281 4728 10281 4734 10282 4994 10282 4993 10282 4734 10283 4731 10283 4994 10283 4732 10284 4722 10284 4993 10284 4724 10285 4734 10285 4993 10285 4995 10286 4741 10286 4747 10286 4742 10287 4741 10287 4995 10287 4996 10288 4743 10288 4745 10288 4996 10289 4747 10289 4743 10289 4996 10290 4745 10290 4746 10290 4750 10291 4996 10291 4746 10291 4752 10292 4747 10292 4996 10292 4995 10293 4747 10293 4753 10293 4754 10294 4996 10294 4750 10294 4754 10295 4752 10295 4996 10295 4995 10296 4755 10296 4750 10296 4756 10297 4995 10297 4750 10297 4995 10298 4753 10298 4755 10298 4997 10299 4755 10299 4753 10299 4998 10300 4754 10300 4755 10300 4997 10301 4998 10301 4755 10301 4999 10302 4753 10302 4752 10302 4999 10303 4997 10303 4753 10303 5000 10304 4752 10304 4754 10304 4999 10305 4752 10305 5000 10305 4998 10306 5000 10306 4754 10306 4742 10307 4995 10307 4756 10307 4997 10308 5000 10308 4998 10308 4999 10309 5000 10309 4997 10309 5001 10310 5002 10310 5003 10310 5004 10311 5003 10311 5002 10311 5005 10312 5003 10312 5006 10312 5007 10313 5006 10313 5003 10313 5001 10314 5003 10314 5005 10314 5004 10315 5007 10315 5003 10315 5001 10316 5008 10316 5002 10316 5009 10317 5002 10317 5008 10317 5009 10318 5004 10318 5002 10318 5001 10319 5010 10319 5008 10319 5011 10320 5008 10320 5010 10320 5009 10321 5008 10321 5011 10321 5012 10322 5013 10322 5010 10322 5014 10323 5010 10323 5013 10323 5015 10324 5012 10324 5010 10324 5001 10325 5015 10325 5010 10325 5011 10326 5010 10326 5014 10326 5016 10327 5017 10327 5013 10327 5018 10328 5013 10328 5017 10328 5012 10329 5016 10329 5013 10329 5014 10330 5013 10330 5018 10330 5016 10331 5019 10331 5017 10331 5020 10332 5017 10332 5019 10332 5020 10333 5018 10333 5017 10333 5016 10334 5006 10334 5019 10334 5021 10335 5019 10335 5006 10335 5021 10336 5020 10336 5019 10336 5022 10337 5005 10337 5006 10337 5016 10338 5022 10338 5006 10338 5007 10339 5021 10339 5006 10339 5023 10340 5005 10340 5022 10340 5024 10341 5001 10341 5005 10341 5023 10342 5024 10342 5005 10342 5025 10343 5022 10343 5016 10343 5026 10344 5022 10344 5025 10344 5023 10345 5022 10345 5026 10345 5027 10346 5016 10346 5012 10346 5025 10347 5016 10347 5027 10347 5028 10348 5012 10348 5015 10348 5028 10349 5027 10349 5012 10349 5029 10350 5015 10350 5001 10350 5029 10351 5030 10351 5015 10351 5028 10352 5015 10352 5030 10352 5029 10353 5001 10353 5024 10353 5031 10354 5018 10354 5020 10354 5031 10355 5032 10355 5018 10355 5014 10356 5018 10356 5032 10356 5033 10357 5020 10357 5021 10357 5034 10358 5031 10358 5020 10358 5033 10359 5034 10359 5020 10359 5033 10360 5021 10360 5007 10360 5035 10361 5007 10361 5004 10361 5035 10362 5033 10362 5007 10362 5035 10363 5004 10363 5036 10363 5009 10364 5036 10364 5004 10364 5009 10365 5037 10365 5036 10365 5038 10366 5036 10366 5037 10366 5039 10367 5035 10367 5036 10367 5038 10368 5039 10368 5036 10368 5009 10369 5040 10369 5037 10369 5041 10370 5037 10370 5040 10370 5041 10371 5038 10371 5037 10371 5014 10372 5032 10372 5040 10372 5042 10373 5040 10373 5032 10373 5011 10374 5014 10374 5040 10374 5009 10375 5011 10375 5040 10375 5041 10376 5040 10376 5042 10376 5043 10377 5032 10377 5031 10377 5042 10378 5032 10378 5043 10378 5044 10379 5031 10379 5034 10379 5043 10380 5031 10380 5044 10380 5045 10381 5034 10381 5033 10381 5045 10382 5044 10382 5034 10382 5046 10383 5033 10383 5035 10383 5046 10384 5045 10384 5033 10384 5039 10385 5046 10385 5035 10385 5038 10386 5044 10386 5045 10386 5041 10387 5044 10387 5038 10387 5041 10388 5043 10388 5044 10388 5039 10389 5045 10389 5046 10389 5038 10390 5045 10390 5039 10390 5041 10391 5042 10391 5043 10391 5047 10392 5048 10392 5049 10392 5050 10393 5049 10393 5048 10393 5051 10394 5049 10394 5052 10394 5053 10395 5052 10395 5049 10395 5051 10396 5047 10396 5049 10396 5053 10397 5049 10397 5050 10397 5054 10398 5055 10398 5048 10398 5056 10399 5048 10399 5055 10399 5054 10400 5048 10400 5047 10400 5056 10401 5050 10401 5048 10401 5057 10402 5058 10402 5055 10402 5059 10403 5055 10403 5058 10403 5054 10404 5057 10404 5055 10404 5056 10405 5055 10405 5059 10405 5060 10406 5061 10406 5058 10406 5062 10407 5058 10407 5061 10407 5057 10408 5060 10408 5058 10408 5059 10409 5058 10409 5062 10409 5063 10410 5052 10410 5061 10410 5064 10411 5061 10411 5052 10411 5060 10412 5063 10412 5061 10412 5062 10413 5061 10413 5064 10413 5063 10414 5051 10414 5052 10414 5064 10415 5052 10415 5053 10415 5065 10416 5047 10416 5051 10416 5066 10417 5054 10417 5047 10417 5065 10418 5066 10418 5047 10418 5067 10419 5051 10419 5063 10419 5065 10420 5051 10420 5067 10420 5068 10421 5063 10421 5060 10421 5067 10422 5063 10422 5068 10422 5069 10423 5060 10423 5057 10423 5068 10424 5060 10424 5069 10424 5070 10425 5057 10425 5054 10425 5069 10426 5057 10426 5070 10426 5070 10427 5054 10427 5066 10427 5025 10428 5053 10428 5050 10428 5026 10429 5025 10429 5050 10429 5056 10430 5026 10430 5050 10430 5027 10431 5064 10431 5053 10431 5025 10432 5027 10432 5053 10432 5030 10433 5062 10433 5064 10433 5027 10434 5030 10434 5064 10434 5029 10435 5062 10435 5030 10435 5059 10436 5062 10436 5029 10436 5028 10437 5030 10437 5027 10437 5056 10438 5024 10438 5026 10438 5023 10439 5026 10439 5024 10439 5059 10440 5029 10440 5024 10440 5056 10441 5059 10441 5024 10441 5069 10442 5070 10442 5066 10442 5065 10443 5069 10443 5066 10443 5065 10444 5068 10444 5069 10444 5065 10445 5067 10445 5068 10445 5071 10446 5072 10446 5073 10446 5074 10447 5073 10447 5072 10447 5075 10448 5073 10448 5076 10448 5077 10449 5076 10449 5073 10449 5071 10450 5073 10450 5075 10450 5074 10451 5077 10451 5073 10451 5071 10452 5078 10452 5072 10452 5079 10453 5072 10453 5078 10453 5079 10454 5074 10454 5072 10454 5071 10455 5080 10455 5078 10455 5081 10456 5078 10456 5080 10456 5079 10457 5078 10457 5081 10457 5082 10458 5083 10458 5080 10458 5084 10459 5080 10459 5083 10459 5085 10460 5082 10460 5080 10460 5071 10461 5085 10461 5080 10461 5081 10462 5080 10462 5084 10462 5086 10463 5087 10463 5083 10463 5088 10464 5083 10464 5087 10464 5082 10465 5086 10465 5083 10465 5084 10466 5083 10466 5088 10466 5086 10467 5089 10467 5087 10467 5090 10468 5087 10468 5089 10468 5090 10469 5088 10469 5087 10469 5086 10470 5076 10470 5089 10470 5091 10471 5089 10471 5076 10471 5091 10472 5090 10472 5089 10472 5092 10473 5075 10473 5076 10473 5086 10474 5092 10474 5076 10474 5077 10475 5091 10475 5076 10475 5093 10476 5075 10476 5092 10476 5094 10477 5071 10477 5075 10477 5093 10478 5094 10478 5075 10478 5095 10479 5092 10479 5086 10479 5096 10480 5092 10480 5095 10480 5093 10481 5092 10481 5096 10481 5097 10482 5086 10482 5082 10482 5095 10483 5086 10483 5097 10483 5098 10484 5082 10484 5085 10484 5098 10485 5097 10485 5082 10485 5099 10486 5085 10486 5071 10486 5099 10487 5100 10487 5085 10487 5098 10488 5085 10488 5100 10488 5099 10489 5071 10489 5094 10489 5101 10490 5088 10490 5090 10490 5101 10491 5102 10491 5088 10491 5084 10492 5088 10492 5102 10492 5103 10493 5090 10493 5091 10493 5104 10494 5101 10494 5090 10494 5103 10495 5104 10495 5090 10495 5103 10496 5091 10496 5077 10496 5105 10497 5077 10497 5074 10497 5105 10498 5103 10498 5077 10498 5105 10499 5074 10499 5106 10499 5079 10500 5106 10500 5074 10500 5079 10501 5107 10501 5106 10501 5108 10502 5106 10502 5107 10502 5109 10503 5105 10503 5106 10503 5108 10504 5109 10504 5106 10504 5079 10505 5110 10505 5107 10505 5111 10506 5107 10506 5110 10506 5111 10507 5108 10507 5107 10507 5084 10508 5102 10508 5110 10508 5112 10509 5110 10509 5102 10509 5081 10510 5084 10510 5110 10510 5079 10511 5081 10511 5110 10511 5111 10512 5110 10512 5112 10512 5113 10513 5102 10513 5101 10513 5112 10514 5102 10514 5113 10514 5114 10515 5101 10515 5104 10515 5113 10516 5101 10516 5114 10516 5115 10517 5104 10517 5103 10517 5115 10518 5114 10518 5104 10518 5116 10519 5103 10519 5105 10519 5116 10520 5115 10520 5103 10520 5109 10521 5116 10521 5105 10521 5108 10522 5114 10522 5115 10522 5111 10523 5114 10523 5108 10523 5111 10524 5113 10524 5114 10524 5109 10525 5115 10525 5116 10525 5108 10526 5115 10526 5109 10526 5111 10527 5112 10527 5113 10527 5117 10528 5118 10528 5119 10528 5120 10529 5119 10529 5118 10529 5121 10530 5119 10530 5122 10530 5123 10531 5122 10531 5119 10531 5121 10532 5117 10532 5119 10532 5123 10533 5119 10533 5120 10533 5124 10534 5125 10534 5118 10534 5126 10535 5118 10535 5125 10535 5124 10536 5118 10536 5117 10536 5126 10537 5120 10537 5118 10537 5127 10538 5128 10538 5125 10538 5129 10539 5125 10539 5128 10539 5124 10540 5127 10540 5125 10540 5126 10541 5125 10541 5129 10541 5130 10542 5131 10542 5128 10542 5132 10543 5128 10543 5131 10543 5127 10544 5130 10544 5128 10544 5129 10545 5128 10545 5132 10545 5133 10546 5122 10546 5131 10546 5134 10547 5131 10547 5122 10547 5130 10548 5133 10548 5131 10548 5132 10549 5131 10549 5134 10549 5133 10550 5121 10550 5122 10550 5134 10551 5122 10551 5123 10551 5135 10552 5117 10552 5121 10552 5136 10553 5124 10553 5117 10553 5135 10554 5136 10554 5117 10554 5137 10555 5121 10555 5133 10555 5135 10556 5121 10556 5137 10556 5138 10557 5133 10557 5130 10557 5137 10558 5133 10558 5138 10558 5139 10559 5130 10559 5127 10559 5138 10560 5130 10560 5139 10560 5140 10561 5127 10561 5124 10561 5139 10562 5127 10562 5140 10562 5140 10563 5124 10563 5136 10563 5095 10564 5123 10564 5120 10564 5096 10565 5095 10565 5120 10565 5126 10566 5096 10566 5120 10566 5097 10567 5134 10567 5123 10567 5095 10568 5097 10568 5123 10568 5100 10569 5132 10569 5134 10569 5097 10570 5100 10570 5134 10570 5099 10571 5132 10571 5100 10571 5129 10572 5132 10572 5099 10572 5098 10573 5100 10573 5097 10573 5126 10574 5094 10574 5096 10574 5093 10575 5096 10575 5094 10575 5129 10576 5099 10576 5094 10576 5126 10577 5129 10577 5094 10577 5139 10578 5140 10578 5136 10578 5135 10579 5139 10579 5136 10579 5135 10580 5138 10580 5139 10580 5135 10581 5137 10581 5138 10581 5141 10582 5142 10582 5143 10582 5144 10583 5143 10583 5142 10583 5145 10584 5143 10584 5146 10584 5147 10585 5146 10585 5143 10585 5141 10586 5143 10586 5145 10586 5144 10587 5147 10587 5143 10587 5141 10588 5148 10588 5142 10588 5149 10589 5142 10589 5148 10589 5149 10590 5144 10590 5142 10590 5141 10591 5150 10591 5148 10591 5151 10592 5148 10592 5150 10592 5149 10593 5148 10593 5151 10593 5152 10594 5153 10594 5150 10594 5154 10595 5150 10595 5153 10595 5155 10596 5152 10596 5150 10596 5141 10597 5155 10597 5150 10597 5151 10598 5150 10598 5154 10598 5156 10599 5157 10599 5153 10599 5158 10600 5153 10600 5157 10600 5152 10601 5156 10601 5153 10601 5154 10602 5153 10602 5158 10602 5156 10603 5159 10603 5157 10603 5160 10604 5157 10604 5159 10604 5160 10605 5158 10605 5157 10605 5156 10606 5146 10606 5159 10606 5161 10607 5159 10607 5146 10607 5161 10608 5160 10608 5159 10608 5162 10609 5145 10609 5146 10609 5156 10610 5162 10610 5146 10610 5147 10611 5161 10611 5146 10611 5163 10612 5145 10612 5162 10612 5164 10613 5141 10613 5145 10613 5163 10614 5164 10614 5145 10614 5165 10615 5162 10615 5156 10615 5166 10616 5162 10616 5165 10616 5163 10617 5162 10617 5166 10617 5167 10618 5156 10618 5152 10618 5165 10619 5156 10619 5167 10619 5168 10620 5152 10620 5155 10620 5168 10621 5167 10621 5152 10621 5169 10622 5155 10622 5141 10622 5169 10623 5170 10623 5155 10623 5168 10624 5155 10624 5170 10624 5169 10625 5141 10625 5164 10625 5171 10626 5158 10626 5160 10626 5171 10627 5172 10627 5158 10627 5154 10628 5158 10628 5172 10628 5173 10629 5160 10629 5161 10629 5174 10630 5171 10630 5160 10630 5173 10631 5174 10631 5160 10631 5173 10632 5161 10632 5147 10632 5175 10633 5147 10633 5144 10633 5175 10634 5173 10634 5147 10634 5175 10635 5144 10635 5176 10635 5149 10636 5176 10636 5144 10636 5149 10637 5177 10637 5176 10637 5178 10638 5176 10638 5177 10638 5179 10639 5175 10639 5176 10639 5178 10640 5179 10640 5176 10640 5149 10641 5180 10641 5177 10641 5181 10642 5177 10642 5180 10642 5181 10643 5178 10643 5177 10643 5154 10644 5172 10644 5180 10644 5182 10645 5180 10645 5172 10645 5151 10646 5154 10646 5180 10646 5149 10647 5151 10647 5180 10647 5181 10648 5180 10648 5182 10648 5183 10649 5172 10649 5171 10649 5182 10650 5172 10650 5183 10650 5184 10651 5171 10651 5174 10651 5183 10652 5171 10652 5184 10652 5185 10653 5174 10653 5173 10653 5185 10654 5184 10654 5174 10654 5186 10655 5173 10655 5175 10655 5186 10656 5185 10656 5173 10656 5179 10657 5186 10657 5175 10657 5178 10658 5184 10658 5185 10658 5181 10659 5184 10659 5178 10659 5181 10660 5183 10660 5184 10660 5179 10661 5185 10661 5186 10661 5178 10662 5185 10662 5179 10662 5181 10663 5182 10663 5183 10663 5187 10664 5188 10664 5189 10664 5190 10665 5189 10665 5188 10665 5191 10666 5189 10666 5192 10666 5193 10667 5192 10667 5189 10667 5191 10668 5187 10668 5189 10668 5193 10669 5189 10669 5190 10669 5194 10670 5195 10670 5188 10670 5196 10671 5188 10671 5195 10671 5194 10672 5188 10672 5187 10672 5196 10673 5190 10673 5188 10673 5197 10674 5198 10674 5195 10674 5199 10675 5195 10675 5198 10675 5194 10676 5197 10676 5195 10676 5196 10677 5195 10677 5199 10677 5200 10678 5201 10678 5198 10678 5202 10679 5198 10679 5201 10679 5197 10680 5200 10680 5198 10680 5199 10681 5198 10681 5202 10681 5203 10682 5192 10682 5201 10682 5204 10683 5201 10683 5192 10683 5200 10684 5203 10684 5201 10684 5202 10685 5201 10685 5204 10685 5203 10686 5191 10686 5192 10686 5204 10687 5192 10687 5193 10687 5205 10688 5187 10688 5191 10688 5206 10689 5194 10689 5187 10689 5205 10690 5206 10690 5187 10690 5207 10691 5191 10691 5203 10691 5205 10692 5191 10692 5207 10692 5208 10693 5203 10693 5200 10693 5207 10694 5203 10694 5208 10694 5209 10695 5200 10695 5197 10695 5208 10696 5200 10696 5209 10696 5210 10697 5197 10697 5194 10697 5209 10698 5197 10698 5210 10698 5210 10699 5194 10699 5206 10699 5165 10700 5193 10700 5190 10700 5166 10701 5165 10701 5190 10701 5196 10702 5166 10702 5190 10702 5167 10703 5204 10703 5193 10703 5165 10704 5167 10704 5193 10704 5170 10705 5202 10705 5204 10705 5167 10706 5170 10706 5204 10706 5169 10707 5202 10707 5170 10707 5199 10708 5202 10708 5169 10708 5168 10709 5170 10709 5167 10709 5196 10710 5164 10710 5166 10710 5163 10711 5166 10711 5164 10711 5199 10712 5169 10712 5164 10712 5196 10713 5199 10713 5164 10713 5209 10714 5210 10714 5206 10714 5205 10715 5209 10715 5206 10715 5205 10716 5208 10716 5209 10716 5205 10717 5207 10717 5208 10717 5211 10718 5212 10718 5213 10718 5214 10719 5213 10719 5212 10719 5215 10720 5213 10720 5216 10720 5217 10721 5216 10721 5213 10721 5211 10722 5213 10722 5215 10722 5214 10723 5217 10723 5213 10723 5211 10724 5218 10724 5212 10724 5219 10725 5212 10725 5218 10725 5219 10726 5214 10726 5212 10726 5211 10727 5220 10727 5218 10727 5221 10728 5218 10728 5220 10728 5219 10729 5218 10729 5221 10729 5222 10730 5223 10730 5220 10730 5224 10731 5220 10731 5223 10731 5225 10732 5222 10732 5220 10732 5211 10733 5225 10733 5220 10733 5221 10734 5220 10734 5224 10734 5226 10735 5227 10735 5223 10735 5228 10736 5223 10736 5227 10736 5222 10737 5226 10737 5223 10737 5224 10738 5223 10738 5228 10738 5226 10739 5229 10739 5227 10739 5230 10740 5227 10740 5229 10740 5230 10741 5228 10741 5227 10741 5226 10742 5216 10742 5229 10742 5231 10743 5229 10743 5216 10743 5231 10744 5230 10744 5229 10744 5232 10745 5215 10745 5216 10745 5226 10746 5232 10746 5216 10746 5217 10747 5231 10747 5216 10747 5233 10748 5215 10748 5232 10748 5234 10749 5211 10749 5215 10749 5233 10750 5234 10750 5215 10750 5235 10751 5232 10751 5226 10751 5236 10752 5232 10752 5235 10752 5233 10753 5232 10753 5236 10753 5237 10754 5226 10754 5222 10754 5235 10755 5226 10755 5237 10755 5238 10756 5222 10756 5225 10756 5238 10757 5237 10757 5222 10757 5239 10758 5225 10758 5211 10758 5239 10759 5240 10759 5225 10759 5238 10760 5225 10760 5240 10760 5239 10761 5211 10761 5234 10761 5241 10762 5228 10762 5230 10762 5241 10763 5242 10763 5228 10763 5224 10764 5228 10764 5242 10764 5243 10765 5230 10765 5231 10765 5244 10766 5241 10766 5230 10766 5243 10767 5244 10767 5230 10767 5243 10768 5231 10768 5217 10768 5245 10769 5217 10769 5214 10769 5245 10770 5243 10770 5217 10770 5245 10771 5214 10771 5246 10771 5219 10772 5246 10772 5214 10772 5219 10773 5247 10773 5246 10773 5248 10774 5246 10774 5247 10774 5249 10775 5245 10775 5246 10775 5248 10776 5249 10776 5246 10776 5219 10777 5250 10777 5247 10777 5251 10778 5247 10778 5250 10778 5251 10779 5248 10779 5247 10779 5224 10780 5242 10780 5250 10780 5252 10781 5250 10781 5242 10781 5221 10782 5224 10782 5250 10782 5219 10783 5221 10783 5250 10783 5251 10784 5250 10784 5252 10784 5253 10785 5242 10785 5241 10785 5252 10786 5242 10786 5253 10786 5254 10787 5241 10787 5244 10787 5253 10788 5241 10788 5254 10788 5255 10789 5244 10789 5243 10789 5255 10790 5254 10790 5244 10790 5256 10791 5243 10791 5245 10791 5256 10792 5255 10792 5243 10792 5249 10793 5256 10793 5245 10793 5248 10794 5254 10794 5255 10794 5251 10795 5254 10795 5248 10795 5251 10796 5253 10796 5254 10796 5249 10797 5255 10797 5256 10797 5248 10798 5255 10798 5249 10798 5251 10799 5252 10799 5253 10799 5257 10800 5258 10800 5259 10800 5260 10801 5259 10801 5258 10801 5261 10802 5259 10802 5262 10802 5263 10803 5262 10803 5259 10803 5261 10804 5257 10804 5259 10804 5263 10805 5259 10805 5260 10805 5264 10806 5265 10806 5258 10806 5266 10807 5258 10807 5265 10807 5264 10808 5258 10808 5257 10808 5266 10809 5260 10809 5258 10809 5267 10810 5268 10810 5265 10810 5269 10811 5265 10811 5268 10811 5264 10812 5267 10812 5265 10812 5266 10813 5265 10813 5269 10813 5270 10814 5271 10814 5268 10814 5272 10815 5268 10815 5271 10815 5267 10816 5270 10816 5268 10816 5269 10817 5268 10817 5272 10817 5273 10818 5262 10818 5271 10818 5274 10819 5271 10819 5262 10819 5270 10820 5273 10820 5271 10820 5272 10821 5271 10821 5274 10821 5273 10822 5261 10822 5262 10822 5274 10823 5262 10823 5263 10823 5275 10824 5257 10824 5261 10824 5276 10825 5264 10825 5257 10825 5275 10826 5276 10826 5257 10826 5277 10827 5261 10827 5273 10827 5275 10828 5261 10828 5277 10828 5278 10829 5273 10829 5270 10829 5277 10830 5273 10830 5278 10830 5279 10831 5270 10831 5267 10831 5278 10832 5270 10832 5279 10832 5280 10833 5267 10833 5264 10833 5279 10834 5267 10834 5280 10834 5280 10835 5264 10835 5276 10835 5235 10836 5263 10836 5260 10836 5236 10837 5235 10837 5260 10837 5266 10838 5236 10838 5260 10838 5237 10839 5274 10839 5263 10839 5235 10840 5237 10840 5263 10840 5240 10841 5272 10841 5274 10841 5237 10842 5240 10842 5274 10842 5239 10843 5272 10843 5240 10843 5269 10844 5272 10844 5239 10844 5238 10845 5240 10845 5237 10845 5266 10846 5234 10846 5236 10846 5233 10847 5236 10847 5234 10847 5269 10848 5239 10848 5234 10848 5266 10849 5269 10849 5234 10849 5279 10850 5280 10850 5276 10850 5275 10851 5279 10851 5276 10851 5275 10852 5278 10852 5279 10852 5275 10853 5277 10853 5278 10853 5281 10854 5282 10854 5283 10854 5284 10855 5283 10855 5282 10855 5285 10856 5283 10856 5286 10856 5287 10857 5286 10857 5283 10857 5281 10858 5283 10858 5285 10858 5284 10859 5287 10859 5283 10859 5281 10860 5288 10860 5282 10860 5289 10861 5282 10861 5288 10861 5289 10862 5284 10862 5282 10862 5281 10863 5290 10863 5288 10863 5291 10864 5288 10864 5290 10864 5289 10865 5288 10865 5291 10865 5292 10866 5293 10866 5290 10866 5294 10867 5290 10867 5293 10867 5295 10868 5292 10868 5290 10868 5281 10869 5295 10869 5290 10869 5291 10870 5290 10870 5294 10870 5296 10871 5297 10871 5293 10871 5298 10872 5293 10872 5297 10872 5292 10873 5296 10873 5293 10873 5294 10874 5293 10874 5298 10874 5296 10875 5299 10875 5297 10875 5300 10876 5297 10876 5299 10876 5300 10877 5298 10877 5297 10877 5296 10878 5286 10878 5299 10878 5301 10879 5299 10879 5286 10879 5301 10880 5300 10880 5299 10880 5302 10881 5285 10881 5286 10881 5296 10882 5302 10882 5286 10882 5287 10883 5301 10883 5286 10883 5303 10884 5285 10884 5302 10884 5304 10885 5281 10885 5285 10885 5303 10886 5304 10886 5285 10886 5305 10887 5302 10887 5296 10887 5306 10888 5302 10888 5305 10888 5303 10889 5302 10889 5306 10889 5307 10890 5296 10890 5292 10890 5305 10891 5296 10891 5307 10891 5308 10892 5292 10892 5295 10892 5308 10893 5307 10893 5292 10893 5309 10894 5295 10894 5281 10894 5309 10895 5310 10895 5295 10895 5308 10896 5295 10896 5310 10896 5309 10897 5281 10897 5304 10897 5311 10898 5298 10898 5300 10898 5311 10899 5312 10899 5298 10899 5294 10900 5298 10900 5312 10900 5313 10901 5300 10901 5301 10901 5314 10902 5311 10902 5300 10902 5313 10903 5314 10903 5300 10903 5313 10904 5301 10904 5287 10904 5315 10905 5287 10905 5284 10905 5315 10906 5313 10906 5287 10906 5315 10907 5284 10907 5316 10907 5289 10908 5316 10908 5284 10908 5289 10909 5317 10909 5316 10909 5318 10910 5316 10910 5317 10910 5319 10911 5315 10911 5316 10911 5318 10912 5319 10912 5316 10912 5289 10913 5320 10913 5317 10913 5321 10914 5317 10914 5320 10914 5321 10915 5318 10915 5317 10915 5294 10916 5312 10916 5320 10916 5322 10917 5320 10917 5312 10917 5291 10918 5294 10918 5320 10918 5289 10919 5291 10919 5320 10919 5321 10920 5320 10920 5322 10920 5323 10921 5312 10921 5311 10921 5322 10922 5312 10922 5323 10922 5324 10923 5311 10923 5314 10923 5323 10924 5311 10924 5324 10924 5325 10925 5314 10925 5313 10925 5325 10926 5324 10926 5314 10926 5326 10927 5313 10927 5315 10927 5326 10928 5325 10928 5313 10928 5319 10929 5326 10929 5315 10929 5318 10930 5324 10930 5325 10930 5321 10931 5324 10931 5318 10931 5321 10932 5323 10932 5324 10932 5319 10933 5325 10933 5326 10933 5318 10934 5325 10934 5319 10934 5321 10935 5322 10935 5323 10935 5327 10936 5328 10936 5329 10936 5330 10937 5329 10937 5328 10937 5331 10938 5329 10938 5332 10938 5333 10939 5332 10939 5329 10939 5331 10940 5327 10940 5329 10940 5333 10941 5329 10941 5330 10941 5334 10942 5335 10942 5328 10942 5336 10943 5328 10943 5335 10943 5334 10944 5328 10944 5327 10944 5336 10945 5330 10945 5328 10945 5337 10946 5338 10946 5335 10946 5339 10947 5335 10947 5338 10947 5334 10948 5337 10948 5335 10948 5336 10949 5335 10949 5339 10949 5340 10950 5341 10950 5338 10950 5342 10951 5338 10951 5341 10951 5337 10952 5340 10952 5338 10952 5339 10953 5338 10953 5342 10953 5343 10954 5332 10954 5341 10954 5344 10955 5341 10955 5332 10955 5340 10956 5343 10956 5341 10956 5342 10957 5341 10957 5344 10957 5343 10958 5331 10958 5332 10958 5344 10959 5332 10959 5333 10959 5345 10960 5327 10960 5331 10960 5346 10961 5334 10961 5327 10961 5345 10962 5346 10962 5327 10962 5347 10963 5331 10963 5343 10963 5345 10964 5331 10964 5347 10964 5348 10965 5343 10965 5340 10965 5347 10966 5343 10966 5348 10966 5349 10967 5340 10967 5337 10967 5348 10968 5340 10968 5349 10968 5350 10969 5337 10969 5334 10969 5349 10970 5337 10970 5350 10970 5350 10971 5334 10971 5346 10971 5305 10972 5333 10972 5330 10972 5306 10973 5305 10973 5330 10973 5336 10974 5306 10974 5330 10974 5307 10975 5344 10975 5333 10975 5305 10976 5307 10976 5333 10976 5310 10977 5342 10977 5344 10977 5307 10978 5310 10978 5344 10978 5309 10979 5342 10979 5310 10979 5339 10980 5342 10980 5309 10980 5308 10981 5310 10981 5307 10981 5336 10982 5304 10982 5306 10982 5303 10983 5306 10983 5304 10983 5339 10984 5309 10984 5304 10984 5336 10985 5339 10985 5304 10985 5349 10986 5350 10986 5346 10986 5345 10987 5349 10987 5346 10987 5345 10988 5348 10988 5349 10988 5345 10989 5347 10989 5348 10989 5351 10990 5352 10990 5353 10990 5354 10991 5353 10991 5352 10991 5355 10992 5353 10992 5356 10992 5357 10993 5356 10993 5353 10993 5351 10994 5353 10994 5355 10994 5354 10995 5357 10995 5353 10995 5351 10996 5358 10996 5352 10996 5359 10997 5352 10997 5358 10997 5359 10998 5354 10998 5352 10998 5351 10999 5360 10999 5358 10999 5361 11000 5358 11000 5360 11000 5359 11001 5358 11001 5361 11001 5362 11002 5363 11002 5360 11002 5364 11003 5360 11003 5363 11003 5365 11004 5362 11004 5360 11004 5351 11005 5365 11005 5360 11005 5361 11006 5360 11006 5364 11006 5366 11007 5367 11007 5363 11007 5368 11008 5363 11008 5367 11008 5362 11009 5366 11009 5363 11009 5364 11010 5363 11010 5368 11010 5366 11011 5369 11011 5367 11011 5370 11012 5367 11012 5369 11012 5370 11013 5368 11013 5367 11013 5366 11014 5356 11014 5369 11014 5371 11015 5369 11015 5356 11015 5371 11016 5370 11016 5369 11016 5372 11017 5355 11017 5356 11017 5366 11018 5372 11018 5356 11018 5357 11019 5371 11019 5356 11019 5373 11020 5355 11020 5372 11020 5374 11021 5351 11021 5355 11021 5373 11022 5374 11022 5355 11022 5375 11023 5372 11023 5366 11023 5376 11024 5372 11024 5375 11024 5373 11025 5372 11025 5376 11025 5377 11026 5366 11026 5362 11026 5375 11027 5366 11027 5377 11027 5378 11028 5362 11028 5365 11028 5378 11029 5377 11029 5362 11029 5379 11030 5365 11030 5351 11030 5379 11031 5380 11031 5365 11031 5378 11032 5365 11032 5380 11032 5379 11033 5351 11033 5374 11033 5381 11034 5368 11034 5370 11034 5381 11035 5382 11035 5368 11035 5364 11036 5368 11036 5382 11036 5383 11037 5370 11037 5371 11037 5384 11038 5381 11038 5370 11038 5383 11039 5384 11039 5370 11039 5383 11040 5371 11040 5357 11040 5385 11041 5357 11041 5354 11041 5385 11042 5383 11042 5357 11042 5385 11043 5354 11043 5386 11043 5359 11044 5386 11044 5354 11044 5359 11045 5387 11045 5386 11045 5388 11046 5386 11046 5387 11046 5389 11047 5385 11047 5386 11047 5388 11048 5389 11048 5386 11048 5359 11049 5390 11049 5387 11049 5391 11050 5387 11050 5390 11050 5391 11051 5388 11051 5387 11051 5364 11052 5382 11052 5390 11052 5392 11053 5390 11053 5382 11053 5361 11054 5364 11054 5390 11054 5359 11055 5361 11055 5390 11055 5391 11056 5390 11056 5392 11056 5393 11057 5382 11057 5381 11057 5392 11058 5382 11058 5393 11058 5394 11059 5381 11059 5384 11059 5393 11060 5381 11060 5394 11060 5395 11061 5384 11061 5383 11061 5395 11062 5394 11062 5384 11062 5396 11063 5383 11063 5385 11063 5396 11064 5395 11064 5383 11064 5389 11065 5396 11065 5385 11065 5388 11066 5394 11066 5395 11066 5391 11067 5394 11067 5388 11067 5391 11068 5393 11068 5394 11068 5389 11069 5395 11069 5396 11069 5388 11070 5395 11070 5389 11070 5391 11071 5392 11071 5393 11071 5397 11072 5398 11072 5399 11072 5400 11073 5399 11073 5398 11073 5401 11074 5399 11074 5402 11074 5403 11075 5402 11075 5399 11075 5401 11076 5397 11076 5399 11076 5403 11077 5399 11077 5400 11077 5404 11078 5405 11078 5398 11078 5406 11079 5398 11079 5405 11079 5404 11080 5398 11080 5397 11080 5406 11081 5400 11081 5398 11081 5407 11082 5408 11082 5405 11082 5409 11083 5405 11083 5408 11083 5404 11084 5407 11084 5405 11084 5406 11085 5405 11085 5409 11085 5410 11086 5411 11086 5408 11086 5412 11087 5408 11087 5411 11087 5407 11088 5410 11088 5408 11088 5409 11089 5408 11089 5412 11089 5413 11090 5402 11090 5411 11090 5414 11091 5411 11091 5402 11091 5410 11092 5413 11092 5411 11092 5412 11093 5411 11093 5414 11093 5413 11094 5401 11094 5402 11094 5414 11095 5402 11095 5403 11095 5415 11096 5397 11096 5401 11096 5416 11097 5404 11097 5397 11097 5415 11098 5416 11098 5397 11098 5417 11099 5401 11099 5413 11099 5415 11100 5401 11100 5417 11100 5418 11101 5413 11101 5410 11101 5417 11102 5413 11102 5418 11102 5419 11103 5410 11103 5407 11103 5418 11104 5410 11104 5419 11104 5420 11105 5407 11105 5404 11105 5419 11106 5407 11106 5420 11106 5420 11107 5404 11107 5416 11107 5375 11108 5403 11108 5400 11108 5376 11109 5375 11109 5400 11109 5406 11110 5376 11110 5400 11110 5377 11111 5414 11111 5403 11111 5375 11112 5377 11112 5403 11112 5380 11113 5412 11113 5414 11113 5377 11114 5380 11114 5414 11114 5379 11115 5412 11115 5380 11115 5409 11116 5412 11116 5379 11116 5378 11117 5380 11117 5377 11117 5406 11118 5374 11118 5376 11118 5373 11119 5376 11119 5374 11119 5409 11120 5379 11120 5374 11120 5406 11121 5409 11121 5374 11121 5419 11122 5420 11122 5416 11122 5415 11123 5419 11123 5416 11123 5415 11124 5418 11124 5419 11124 5415 11125 5417 11125 5418 11125 5421 11126 5422 11126 5423 11126 5424 11127 5423 11127 5422 11127 5425 11128 5423 11128 5426 11128 5427 11129 5426 11129 5423 11129 5421 11130 5423 11130 5425 11130 5424 11131 5427 11131 5423 11131 5421 11132 5428 11132 5422 11132 5429 11133 5422 11133 5428 11133 5429 11134 5424 11134 5422 11134 5421 11135 5430 11135 5428 11135 5431 11136 5428 11136 5430 11136 5429 11137 5428 11137 5431 11137 5432 11138 5433 11138 5430 11138 5434 11139 5430 11139 5433 11139 5435 11140 5432 11140 5430 11140 5421 11141 5435 11141 5430 11141 5431 11142 5430 11142 5434 11142 5436 11143 5437 11143 5433 11143 5438 11144 5433 11144 5437 11144 5432 11145 5436 11145 5433 11145 5434 11146 5433 11146 5438 11146 5436 11147 5439 11147 5437 11147 5440 11148 5437 11148 5439 11148 5440 11149 5438 11149 5437 11149 5436 11150 5426 11150 5439 11150 5441 11151 5439 11151 5426 11151 5441 11152 5440 11152 5439 11152 5442 11153 5425 11153 5426 11153 5436 11154 5442 11154 5426 11154 5427 11155 5441 11155 5426 11155 5443 11156 5425 11156 5442 11156 5444 11157 5421 11157 5425 11157 5443 11158 5444 11158 5425 11158 5445 11159 5442 11159 5436 11159 5446 11160 5442 11160 5445 11160 5443 11161 5442 11161 5446 11161 5447 11162 5436 11162 5432 11162 5445 11163 5436 11163 5447 11163 5448 11164 5432 11164 5435 11164 5448 11165 5447 11165 5432 11165 5449 11166 5435 11166 5421 11166 5449 11167 5450 11167 5435 11167 5448 11168 5435 11168 5450 11168 5449 11169 5421 11169 5444 11169 5451 11170 5438 11170 5440 11170 5451 11171 5452 11171 5438 11171 5434 11172 5438 11172 5452 11172 5453 11173 5440 11173 5441 11173 5454 11174 5451 11174 5440 11174 5453 11175 5454 11175 5440 11175 5453 11176 5441 11176 5427 11176 5455 11177 5427 11177 5424 11177 5455 11178 5453 11178 5427 11178 5455 11179 5424 11179 5456 11179 5429 11180 5456 11180 5424 11180 5429 11181 5457 11181 5456 11181 5458 11182 5456 11182 5457 11182 5459 11183 5455 11183 5456 11183 5458 11184 5459 11184 5456 11184 5429 11185 5460 11185 5457 11185 5461 11186 5457 11186 5460 11186 5461 11187 5458 11187 5457 11187 5434 11188 5452 11188 5460 11188 5462 11189 5460 11189 5452 11189 5431 11190 5434 11190 5460 11190 5429 11191 5431 11191 5460 11191 5461 11192 5460 11192 5462 11192 5463 11193 5452 11193 5451 11193 5462 11194 5452 11194 5463 11194 5464 11195 5451 11195 5454 11195 5463 11196 5451 11196 5464 11196 5465 11197 5454 11197 5453 11197 5465 11198 5464 11198 5454 11198 5466 11199 5453 11199 5455 11199 5466 11200 5465 11200 5453 11200 5459 11201 5466 11201 5455 11201 5458 11202 5464 11202 5465 11202 5461 11203 5464 11203 5458 11203 5461 11204 5463 11204 5464 11204 5459 11205 5465 11205 5466 11205 5458 11206 5465 11206 5459 11206 5461 11207 5462 11207 5463 11207 5467 11208 5468 11208 5469 11208 5470 11209 5469 11209 5468 11209 5471 11210 5469 11210 5472 11210 5473 11211 5472 11211 5469 11211 5471 11212 5467 11212 5469 11212 5473 11213 5469 11213 5470 11213 5474 11214 5475 11214 5468 11214 5476 11215 5468 11215 5475 11215 5474 11216 5468 11216 5467 11216 5476 11217 5470 11217 5468 11217 5477 11218 5478 11218 5475 11218 5479 11219 5475 11219 5478 11219 5474 11220 5477 11220 5475 11220 5476 11221 5475 11221 5479 11221 5480 11222 5481 11222 5478 11222 5482 11223 5478 11223 5481 11223 5477 11224 5480 11224 5478 11224 5479 11225 5478 11225 5482 11225 5483 11226 5472 11226 5481 11226 5484 11227 5481 11227 5472 11227 5480 11228 5483 11228 5481 11228 5482 11229 5481 11229 5484 11229 5483 11230 5471 11230 5472 11230 5484 11231 5472 11231 5473 11231 5485 11232 5467 11232 5471 11232 5486 11233 5474 11233 5467 11233 5485 11234 5486 11234 5467 11234 5487 11235 5471 11235 5483 11235 5485 11236 5471 11236 5487 11236 5488 11237 5483 11237 5480 11237 5487 11238 5483 11238 5488 11238 5489 11239 5480 11239 5477 11239 5488 11240 5480 11240 5489 11240 5490 11241 5477 11241 5474 11241 5489 11242 5477 11242 5490 11242 5490 11243 5474 11243 5486 11243 5445 11244 5473 11244 5470 11244 5446 11245 5445 11245 5470 11245 5476 11246 5446 11246 5470 11246 5447 11247 5484 11247 5473 11247 5445 11248 5447 11248 5473 11248 5450 11249 5482 11249 5484 11249 5447 11250 5450 11250 5484 11250 5449 11251 5482 11251 5450 11251 5479 11252 5482 11252 5449 11252 5448 11253 5450 11253 5447 11253 5476 11254 5444 11254 5446 11254 5443 11255 5446 11255 5444 11255 5479 11256 5449 11256 5444 11256 5476 11257 5479 11257 5444 11257 5489 11258 5490 11258 5486 11258 5485 11259 5489 11259 5486 11259 5485 11260 5488 11260 5489 11260 5485 11261 5487 11261 5488 11261 5491 11262 5492 11262 5493 11262 5494 11263 5493 11263 5492 11263 5495 11264 5493 11264 5496 11264 5497 11265 5496 11265 5493 11265 5491 11266 5493 11266 5495 11266 5494 11267 5497 11267 5493 11267 5491 11268 5498 11268 5492 11268 5499 11269 5492 11269 5498 11269 5499 11270 5494 11270 5492 11270 5491 11271 5500 11271 5498 11271 5501 11272 5498 11272 5500 11272 5499 11273 5498 11273 5501 11273 5502 11274 5503 11274 5500 11274 5504 11275 5500 11275 5503 11275 5505 11276 5502 11276 5500 11276 5491 11277 5505 11277 5500 11277 5501 11278 5500 11278 5504 11278 5506 11279 5507 11279 5503 11279 5508 11280 5503 11280 5507 11280 5502 11281 5506 11281 5503 11281 5504 11282 5503 11282 5508 11282 5506 11283 5509 11283 5507 11283 5510 11284 5507 11284 5509 11284 5510 11285 5508 11285 5507 11285 5506 11286 5496 11286 5509 11286 5511 11287 5509 11287 5496 11287 5511 11288 5510 11288 5509 11288 5512 11289 5495 11289 5496 11289 5506 11290 5512 11290 5496 11290 5497 11291 5511 11291 5496 11291 5513 11292 5495 11292 5512 11292 5514 11293 5491 11293 5495 11293 5513 11294 5514 11294 5495 11294 5515 11295 5512 11295 5506 11295 5516 11296 5512 11296 5515 11296 5513 11297 5512 11297 5516 11297 5517 11298 5506 11298 5502 11298 5515 11299 5506 11299 5517 11299 5518 11300 5502 11300 5505 11300 5518 11301 5517 11301 5502 11301 5519 11302 5505 11302 5491 11302 5519 11303 5520 11303 5505 11303 5518 11304 5505 11304 5520 11304 5519 11305 5491 11305 5514 11305 5521 11306 5508 11306 5510 11306 5521 11307 5522 11307 5508 11307 5504 11308 5508 11308 5522 11308 5523 11309 5510 11309 5511 11309 5524 11310 5521 11310 5510 11310 5523 11311 5524 11311 5510 11311 5523 11312 5511 11312 5497 11312 5525 11313 5497 11313 5494 11313 5525 11314 5523 11314 5497 11314 5525 11315 5494 11315 5526 11315 5499 11316 5526 11316 5494 11316 5499 11317 5527 11317 5526 11317 5528 11318 5526 11318 5527 11318 5529 11319 5525 11319 5526 11319 5528 11320 5529 11320 5526 11320 5499 11321 5530 11321 5527 11321 5531 11322 5527 11322 5530 11322 5531 11323 5528 11323 5527 11323 5504 11324 5522 11324 5530 11324 5532 11325 5530 11325 5522 11325 5501 11326 5504 11326 5530 11326 5499 11327 5501 11327 5530 11327 5531 11328 5530 11328 5532 11328 5533 11329 5522 11329 5521 11329 5532 11330 5522 11330 5533 11330 5534 11331 5521 11331 5524 11331 5533 11332 5521 11332 5534 11332 5535 11333 5524 11333 5523 11333 5535 11334 5534 11334 5524 11334 5536 11335 5523 11335 5525 11335 5536 11336 5535 11336 5523 11336 5529 11337 5536 11337 5525 11337 5528 11338 5534 11338 5535 11338 5531 11339 5534 11339 5528 11339 5531 11340 5533 11340 5534 11340 5529 11341 5535 11341 5536 11341 5528 11342 5535 11342 5529 11342 5531 11343 5532 11343 5533 11343 5537 11344 5538 11344 5539 11344 5540 11345 5539 11345 5538 11345 5541 11346 5539 11346 5542 11346 5543 11347 5542 11347 5539 11347 5541 11348 5537 11348 5539 11348 5543 11349 5539 11349 5540 11349 5544 11350 5545 11350 5538 11350 5546 11351 5538 11351 5545 11351 5544 11352 5538 11352 5537 11352 5546 11353 5540 11353 5538 11353 5547 11354 5548 11354 5545 11354 5549 11355 5545 11355 5548 11355 5544 11356 5547 11356 5545 11356 5546 11357 5545 11357 5549 11357 5550 11358 5551 11358 5548 11358 5552 11359 5548 11359 5551 11359 5547 11360 5550 11360 5548 11360 5549 11361 5548 11361 5552 11361 5553 11362 5542 11362 5551 11362 5554 11363 5551 11363 5542 11363 5550 11364 5553 11364 5551 11364 5552 11365 5551 11365 5554 11365 5553 11366 5541 11366 5542 11366 5554 11367 5542 11367 5543 11367 5555 11368 5537 11368 5541 11368 5556 11369 5544 11369 5537 11369 5555 11370 5556 11370 5537 11370 5557 11371 5541 11371 5553 11371 5555 11372 5541 11372 5557 11372 5558 11373 5553 11373 5550 11373 5557 11374 5553 11374 5558 11374 5559 11375 5550 11375 5547 11375 5558 11376 5550 11376 5559 11376 5560 11377 5547 11377 5544 11377 5559 11378 5547 11378 5560 11378 5560 11379 5544 11379 5556 11379 5515 11380 5543 11380 5540 11380 5516 11381 5515 11381 5540 11381 5546 11382 5516 11382 5540 11382 5517 11383 5554 11383 5543 11383 5515 11384 5517 11384 5543 11384 5520 11385 5552 11385 5554 11385 5517 11386 5520 11386 5554 11386 5519 11387 5552 11387 5520 11387 5549 11388 5552 11388 5519 11388 5518 11389 5520 11389 5517 11389 5546 11390 5514 11390 5516 11390 5513 11391 5516 11391 5514 11391 5549 11392 5519 11392 5514 11392 5546 11393 5549 11393 5514 11393 5559 11394 5560 11394 5556 11394 5555 11395 5559 11395 5556 11395 5555 11396 5558 11396 5559 11396 5555 11397 5557 11397 5558 11397 5561 11398 5562 11398 5563 11398 5564 11399 5563 11399 5562 11399 5565 11400 5563 11400 5566 11400 5567 11401 5566 11401 5563 11401 5565 11402 5561 11402 5563 11402 5567 11403 5563 11403 5564 11403 5568 11404 5569 11404 5562 11404 5570 11405 5562 11405 5569 11405 5561 11406 5568 11406 5562 11406 5571 11407 5562 11407 5570 11407 5564 11408 5562 11408 5571 11408 5568 11409 5572 11409 5569 11409 5573 11410 5569 11410 5572 11410 5570 11411 5569 11411 5573 11411 5574 11412 5575 11412 5572 11412 5576 11413 5572 11413 5575 11413 5568 11414 5574 11414 5572 11414 5577 11415 5572 11415 5576 11415 5573 11416 5572 11416 5577 11416 5578 11417 5579 11417 5575 11417 5580 11418 5575 11418 5579 11418 5581 11419 5575 11419 5574 11419 5582 11420 5578 11420 5575 11420 5581 11421 5582 11421 5575 11421 5576 11422 5575 11422 5580 11422 5583 11423 5584 11423 5579 11423 5585 11424 5579 11424 5584 11424 5578 11425 5583 11425 5579 11425 5586 11426 5580 11426 5579 11426 5586 11427 5579 11427 5585 11427 5587 11428 5566 11428 5584 11428 5588 11429 5584 11429 5566 11429 5583 11430 5587 11430 5584 11430 5585 11431 5584 11431 5588 11431 5587 11432 5565 11432 5566 11432 5589 11433 5566 11433 5567 11433 5588 11434 5566 11434 5589 11434 5590 11435 5591 11435 5592 11435 5593 11436 5592 11436 5591 11436 5590 11437 5592 11437 5594 11437 5595 11438 5594 11438 5592 11438 5595 11439 5592 11439 5593 11439 5596 11440 5597 11440 5591 11440 5598 11441 5591 11441 5597 11441 5590 11442 5596 11442 5591 11442 5599 11443 5591 11443 5598 11443 5593 11444 5591 11444 5599 11444 5600 11445 5601 11445 5597 11445 5602 11446 5597 11446 5601 11446 5603 11447 5597 11447 5596 11447 5603 11448 5600 11448 5597 11448 5598 11449 5597 11449 5602 11449 5604 11450 5605 11450 5601 11450 5606 11451 5601 11451 5605 11451 5600 11452 5604 11452 5601 11452 5607 11453 5601 11453 5606 11453 5602 11454 5601 11454 5607 11454 5608 11455 5609 11455 5605 11455 5610 11456 5605 11456 5609 11456 5604 11457 5608 11457 5605 11457 5606 11458 5605 11458 5610 11458 5608 11459 5611 11459 5609 11459 5612 11460 5609 11460 5611 11460 5613 11461 5610 11461 5609 11461 5613 11462 5609 11462 5612 11462 5590 11463 5594 11463 5611 11463 5614 11464 5611 11464 5594 11464 5590 11465 5611 11465 5574 11465 5581 11466 5574 11466 5611 11466 5608 11467 5581 11467 5611 11467 5612 11468 5611 11468 5614 11468 5615 11469 5594 11469 5595 11469 5614 11470 5594 11470 5615 11470 5616 11471 5617 11471 5618 11471 5619 11472 5618 11472 5617 11472 5620 11473 5618 11473 5621 11473 5622 11474 5621 11474 5618 11474 5623 11475 5616 11475 5618 11475 5624 11476 5623 11476 5618 11476 5620 11477 5624 11477 5618 11477 5622 11478 5618 11478 5619 11478 5625 11479 5626 11479 5617 11479 5627 11480 5617 11480 5626 11480 5616 11481 5625 11481 5617 11481 5628 11482 5617 11482 5627 11482 5619 11483 5617 11483 5628 11483 5625 11484 5629 11484 5626 11484 5630 11485 5626 11485 5629 11485 5627 11486 5626 11486 5630 11486 5631 11487 5632 11487 5629 11487 5633 11488 5629 11488 5632 11488 5625 11489 5631 11489 5629 11489 5634 11490 5629 11490 5633 11490 5630 11491 5629 11491 5634 11491 5635 11492 5636 11492 5632 11492 5637 11493 5632 11493 5636 11493 5638 11494 5632 11494 5631 11494 5638 11495 5639 11495 5632 11495 5635 11496 5632 11496 5639 11496 5633 11497 5632 11497 5637 11497 5640 11498 5641 11498 5636 11498 5642 11499 5636 11499 5641 11499 5635 11500 5640 11500 5636 11500 5643 11501 5637 11501 5636 11501 5643 11502 5636 11502 5642 11502 5644 11503 5621 11503 5641 11503 5645 11504 5641 11504 5621 11504 5646 11505 5644 11505 5641 11505 5647 11506 5646 11506 5641 11506 5640 11507 5647 11507 5641 11507 5642 11508 5641 11508 5645 11508 5644 11509 5620 11509 5621 11509 5648 11510 5621 11510 5622 11510 5645 11511 5621 11511 5648 11511 5649 11512 5650 11512 5651 11512 5652 11513 5651 11513 5650 11513 5649 11514 5651 11514 5653 11514 5654 11515 5653 11515 5651 11515 5654 11516 5651 11516 5652 11516 5655 11517 5656 11517 5650 11517 5657 11518 5650 11518 5656 11518 5649 11519 5655 11519 5650 11519 5658 11520 5650 11520 5657 11520 5652 11521 5650 11521 5658 11521 5659 11522 5660 11522 5656 11522 5661 11523 5656 11523 5660 11523 5662 11524 5656 11524 5655 11524 5662 11525 5659 11525 5656 11525 5657 11526 5656 11526 5661 11526 5663 11527 5664 11527 5660 11527 5665 11528 5660 11528 5664 11528 5666 11529 5663 11529 5660 11529 5667 11530 5666 11530 5660 11530 5659 11531 5667 11531 5660 11531 5668 11532 5660 11532 5665 11532 5661 11533 5660 11533 5668 11533 5669 11534 5670 11534 5664 11534 5671 11535 5664 11535 5670 11535 5663 11536 5669 11536 5664 11536 5665 11537 5664 11537 5671 11537 5672 11538 5673 11538 5670 11538 5674 11539 5670 11539 5673 11539 5669 11540 5672 11540 5670 11540 5675 11541 5671 11541 5670 11541 5675 11542 5670 11542 5674 11542 5649 11543 5653 11543 5673 11543 5676 11544 5673 11544 5653 11544 5631 11545 5649 11545 5673 11545 5672 11546 5631 11546 5673 11546 5674 11547 5673 11547 5676 11547 5677 11548 5653 11548 5654 11548 5676 11549 5653 11549 5677 11549 5678 11550 5574 11550 5568 11550 5679 11551 5590 11551 5574 11551 5679 11552 5574 11552 5678 11552 5680 11553 5568 11553 5561 11553 5678 11554 5568 11554 5680 11554 5681 11555 5682 11555 5561 11555 5683 11556 5561 11556 5682 11556 5565 11557 5681 11557 5561 11557 5680 11558 5561 11558 5683 11558 5684 11559 5685 11559 5682 11559 5686 11560 5682 11560 5685 11560 5681 11561 5684 11561 5682 11561 5683 11562 5682 11562 5686 11562 5687 11563 5655 11563 5685 11563 5688 11564 5685 11564 5655 11564 5684 11565 5687 11565 5685 11565 5686 11566 5685 11566 5688 11566 5689 11567 5655 11567 5649 11567 5690 11568 5662 11568 5655 11568 5687 11569 5690 11569 5655 11569 5688 11570 5655 11570 5689 11570 5691 11571 5649 11571 5631 11571 5689 11572 5649 11572 5691 11572 5692 11573 5631 11573 5625 11573 5672 11574 5638 11574 5631 11574 5691 11575 5631 11575 5692 11575 5693 11576 5625 11576 5616 11576 5693 11577 5692 11577 5625 11577 5694 11578 5695 11578 5616 11578 5696 11579 5616 11579 5695 11579 5623 11580 5694 11580 5616 11580 5693 11581 5616 11581 5696 11581 5697 11582 5698 11582 5695 11582 5699 11583 5695 11583 5698 11583 5694 11584 5697 11584 5695 11584 5696 11585 5695 11585 5699 11585 5700 11586 5596 11586 5698 11586 5701 11587 5698 11587 5596 11587 5697 11588 5700 11588 5698 11588 5699 11589 5698 11589 5701 11589 5702 11590 5596 11590 5590 11590 5700 11591 5603 11591 5596 11591 5701 11592 5596 11592 5702 11592 5702 11593 5590 11593 5679 11593 5703 11594 5639 11594 5638 11594 5703 11595 5635 11595 5639 11595 5704 11596 5705 11596 5638 11596 5706 11597 5638 11597 5705 11597 5707 11598 5704 11598 5638 11598 5672 11599 5707 11599 5638 11599 5703 11600 5638 11600 5706 11600 5708 11601 5705 11601 5704 11601 5706 11602 5705 11602 5708 11602 5707 11603 5709 11603 5704 11603 5710 11604 5704 11604 5709 11604 5708 11605 5704 11605 5710 11605 5711 11606 5712 11606 5709 11606 5713 11607 5709 11607 5712 11607 5707 11608 5711 11608 5709 11608 5710 11609 5709 11609 5713 11609 5711 11610 5714 11610 5712 11610 5715 11611 5712 11611 5714 11611 5713 11612 5712 11612 5715 11612 5716 11613 5714 11613 5711 11613 5715 11614 5714 11614 5716 11614 5717 11615 5711 11615 5707 11615 5716 11616 5711 11616 5717 11616 5672 11617 5718 11617 5707 11617 5719 11618 5707 11618 5718 11618 5717 11619 5707 11619 5719 11619 5720 11620 5718 11620 5672 11620 5719 11621 5718 11621 5720 11621 5721 11622 5672 11622 5669 11622 5720 11623 5672 11623 5721 11623 5722 11624 5669 11624 5663 11624 5721 11625 5669 11625 5722 11625 5723 11626 5663 11626 5666 11626 5722 11627 5663 11627 5723 11627 5724 11628 5666 11628 5667 11628 5723 11629 5666 11629 5724 11629 5725 11630 5667 11630 5659 11630 5724 11631 5667 11631 5725 11631 5726 11632 5659 11632 5662 11632 5725 11633 5659 11633 5726 11633 5690 11634 5727 11634 5662 11634 5728 11635 5662 11635 5727 11635 5729 11636 5662 11636 5728 11636 5726 11637 5662 11637 5729 11637 5730 11638 5727 11638 5690 11638 5728 11639 5727 11639 5730 11639 5731 11640 5690 11640 5687 11640 5730 11641 5690 11641 5731 11641 5732 11642 5687 11642 5684 11642 5731 11643 5687 11643 5732 11643 5733 11644 5684 11644 5681 11644 5734 11645 5684 11645 5733 11645 5732 11646 5684 11646 5734 11646 5733 11647 5681 11647 5565 11647 5735 11648 5565 11648 5587 11648 5733 11649 5565 11649 5735 11649 5736 11650 5587 11650 5583 11650 5735 11651 5587 11651 5736 11651 5737 11652 5583 11652 5578 11652 5736 11653 5583 11653 5737 11653 5738 11654 5578 11654 5582 11654 5737 11655 5578 11655 5738 11655 5739 11656 5740 11656 5582 11656 5741 11657 5582 11657 5740 11657 5581 11658 5739 11658 5582 11658 5738 11659 5582 11659 5741 11659 5742 11660 5743 11660 5740 11660 5744 11661 5740 11661 5743 11661 5739 11662 5742 11662 5740 11662 5741 11663 5740 11663 5744 11663 5745 11664 5746 11664 5743 11664 5747 11665 5743 11665 5746 11665 5742 11666 5745 11666 5743 11666 5744 11667 5743 11667 5747 11667 5748 11668 5746 11668 5745 11668 5749 11669 5746 11669 5750 11669 5751 11670 5750 11670 5746 11670 5747 11671 5746 11671 5749 11671 5752 11672 5751 11672 5746 11672 5753 11673 5752 11673 5746 11673 5748 11674 5753 11674 5746 11674 5754 11675 5745 11675 5742 11675 5755 11676 5756 11676 5745 11676 5748 11677 5745 11677 5756 11677 5757 11678 5755 11678 5745 11678 5758 11679 5757 11679 5745 11679 5759 11680 5758 11680 5745 11680 5754 11681 5759 11681 5745 11681 5760 11682 5742 11682 5739 11682 5761 11683 5742 11683 5760 11683 5762 11684 5742 11684 5761 11684 5754 11685 5742 11685 5762 11685 5763 11686 5739 11686 5581 11686 5760 11687 5739 11687 5763 11687 5764 11688 5581 11688 5608 11688 5763 11689 5581 11689 5764 11689 5765 11690 5608 11690 5604 11690 5764 11691 5608 11691 5765 11691 5766 11692 5604 11692 5600 11692 5765 11693 5604 11693 5766 11693 5767 11694 5600 11694 5603 11694 5766 11695 5600 11695 5767 11695 5768 11696 5603 11696 5700 11696 5767 11697 5603 11697 5768 11697 5769 11698 5700 11698 5697 11698 5768 11699 5700 11699 5769 11699 5770 11700 5697 11700 5694 11700 5769 11701 5697 11701 5770 11701 5771 11702 5694 11702 5623 11702 5770 11703 5694 11703 5771 11703 5624 11704 5772 11704 5623 11704 5773 11705 5623 11705 5772 11705 5771 11706 5623 11706 5773 11706 5774 11707 5772 11707 5624 11707 5775 11708 5772 11708 5776 11708 5774 11709 5776 11709 5772 11709 5773 11710 5772 11710 5775 11710 5774 11711 5624 11711 5620 11711 5777 11712 5620 11712 5644 11712 5777 11713 5774 11713 5620 11713 5778 11714 5644 11714 5646 11714 5777 11715 5644 11715 5778 11715 5779 11716 5646 11716 5647 11716 5778 11717 5646 11717 5779 11717 5780 11718 5647 11718 5640 11718 5779 11719 5647 11719 5780 11719 5781 11720 5640 11720 5635 11720 5780 11721 5640 11721 5781 11721 5782 11722 5635 11722 5703 11722 5781 11723 5635 11723 5782 11723 5737 11724 5783 11724 5784 11724 5564 11725 5784 11725 5783 11725 5785 11726 5784 11726 5786 11726 5570 11727 5786 11727 5784 11727 5736 11728 5784 11728 5785 11728 5736 11729 5737 11729 5784 11729 5571 11730 5570 11730 5784 11730 5564 11731 5571 11731 5784 11731 5737 11732 5787 11732 5783 11732 5589 11733 5783 11733 5787 11733 5567 11734 5564 11734 5783 11734 5589 11735 5567 11735 5783 11735 5738 11736 5788 11736 5787 11736 5585 11737 5787 11737 5788 11737 5737 11738 5738 11738 5787 11738 5588 11739 5589 11739 5787 11739 5585 11740 5588 11740 5787 11740 5741 11741 5789 11741 5788 11741 5580 11742 5788 11742 5789 11742 5738 11743 5741 11743 5788 11743 5586 11744 5788 11744 5580 11744 5586 11745 5585 11745 5788 11745 5790 11746 5786 11746 5789 11746 5577 11747 5789 11747 5786 11747 5741 11748 5790 11748 5789 11748 5576 11749 5580 11749 5789 11749 5577 11750 5576 11750 5789 11750 5790 11751 5785 11751 5786 11751 5573 11752 5577 11752 5786 11752 5570 11753 5573 11753 5786 11753 5791 11754 5792 11754 5793 11754 5652 11755 5793 11755 5792 11755 5794 11756 5793 11756 5795 11756 5657 11757 5795 11757 5793 11757 5794 11758 5791 11758 5793 11758 5658 11759 5657 11759 5793 11759 5652 11760 5658 11760 5793 11760 5791 11761 5796 11761 5792 11761 5677 11762 5792 11762 5796 11762 5654 11763 5652 11763 5792 11763 5677 11764 5654 11764 5792 11764 5797 11765 5798 11765 5796 11765 5674 11766 5796 11766 5798 11766 5797 11767 5796 11767 5791 11767 5676 11768 5677 11768 5796 11768 5674 11769 5676 11769 5796 11769 5799 11770 5800 11770 5798 11770 5671 11771 5798 11771 5800 11771 5797 11772 5799 11772 5798 11772 5675 11773 5798 11773 5671 11773 5675 11774 5674 11774 5798 11774 5730 11775 5795 11775 5800 11775 5668 11776 5800 11776 5795 11776 5799 11777 5730 11777 5800 11777 5665 11778 5671 11778 5800 11778 5668 11779 5665 11779 5800 11779 5732 11780 5794 11780 5795 11780 5731 11781 5732 11781 5795 11781 5730 11782 5731 11782 5795 11782 5661 11783 5668 11783 5795 11783 5657 11784 5661 11784 5795 11784 5801 11785 5802 11785 5803 11785 5593 11786 5803 11786 5802 11786 5804 11787 5803 11787 5805 11787 5598 11788 5805 11788 5803 11788 5804 11789 5801 11789 5803 11789 5599 11790 5598 11790 5803 11790 5593 11791 5599 11791 5803 11791 5801 11792 5806 11792 5802 11792 5615 11793 5802 11793 5806 11793 5595 11794 5593 11794 5802 11794 5615 11795 5595 11795 5802 11795 5766 11796 5807 11796 5806 11796 5612 11797 5806 11797 5807 11797 5765 11798 5766 11798 5806 11798 5801 11799 5765 11799 5806 11799 5614 11800 5615 11800 5806 11800 5612 11801 5614 11801 5806 11801 5766 11802 5808 11802 5807 11802 5610 11803 5807 11803 5808 11803 5613 11804 5807 11804 5610 11804 5613 11805 5612 11805 5807 11805 5767 11806 5805 11806 5808 11806 5607 11807 5808 11807 5805 11807 5766 11808 5767 11808 5808 11808 5606 11809 5610 11809 5808 11809 5607 11810 5606 11810 5808 11810 5767 11811 5768 11811 5805 11811 5809 11812 5805 11812 5768 11812 5809 11813 5804 11813 5805 11813 5602 11814 5607 11814 5805 11814 5598 11815 5602 11815 5805 11815 5776 11816 5810 11816 5811 11816 5619 11817 5811 11817 5810 11817 5812 11818 5811 11818 5813 11818 5627 11819 5813 11819 5811 11819 5775 11820 5776 11820 5811 11820 5812 11821 5775 11821 5811 11821 5628 11822 5627 11822 5811 11822 5619 11823 5628 11823 5811 11823 5814 11824 5815 11824 5810 11824 5648 11825 5810 11825 5815 11825 5776 11826 5814 11826 5810 11826 5622 11827 5619 11827 5810 11827 5648 11828 5622 11828 5810 11828 5816 11829 5817 11829 5815 11829 5642 11830 5815 11830 5817 11830 5814 11831 5816 11831 5815 11831 5645 11832 5648 11832 5815 11832 5642 11833 5645 11833 5815 11833 5818 11834 5819 11834 5817 11834 5637 11835 5817 11835 5819 11835 5820 11836 5817 11836 5816 11836 5821 11837 5818 11837 5817 11837 5820 11838 5821 11838 5817 11838 5643 11839 5817 11839 5637 11839 5643 11840 5642 11840 5817 11840 5822 11841 5813 11841 5819 11841 5634 11842 5819 11842 5813 11842 5818 11843 5822 11843 5819 11843 5633 11844 5637 11844 5819 11844 5634 11845 5633 11845 5819 11845 5822 11846 5812 11846 5813 11846 5630 11847 5634 11847 5813 11847 5627 11848 5630 11848 5813 11848 5823 11849 5816 11849 5814 11849 5824 11850 5820 11850 5816 11850 5825 11851 5824 11851 5816 11851 5825 11852 5816 11852 5823 11852 5826 11853 5814 11853 5776 11853 5823 11854 5814 11854 5826 11854 5774 11855 5826 11855 5776 11855 5812 11856 5773 11856 5775 11856 5812 11857 5771 11857 5773 11857 5812 11858 5770 11858 5771 11858 5827 11859 5769 11859 5770 11859 5812 11860 5827 11860 5770 11860 5809 11861 5768 11861 5769 11861 5827 11862 5809 11862 5769 11862 5801 11863 5764 11863 5765 11863 5801 11864 5763 11864 5764 11864 5762 11865 5760 11865 5763 11865 5801 11866 5762 11866 5763 11866 5762 11867 5761 11867 5760 11867 5828 11868 5762 11868 5801 11868 5828 11869 5754 11869 5762 11869 5829 11870 5801 11870 5804 11870 5830 11871 5801 11871 5829 11871 5831 11872 5801 11872 5830 11872 5828 11873 5801 11873 5831 11873 5832 11874 5804 11874 5809 11874 5829 11875 5804 11875 5832 11875 5833 11876 5809 11876 5827 11876 5832 11877 5809 11877 5833 11877 5834 11878 5827 11878 5812 11878 5833 11879 5827 11879 5834 11879 5835 11880 5812 11880 5822 11880 5834 11881 5812 11881 5835 11881 5836 11882 5822 11882 5818 11882 5835 11883 5822 11883 5836 11883 5837 11884 5838 11884 5818 11884 5839 11885 5818 11885 5838 11885 5821 11886 5837 11886 5818 11886 5840 11887 5818 11887 5839 11887 5840 11888 5836 11888 5818 11888 5841 11889 5842 11889 5838 11889 5839 11890 5838 11890 5842 11890 5837 11891 5841 11891 5838 11891 5843 11892 5844 11892 5842 11892 5845 11893 5842 11893 5844 11893 5841 11894 5843 11894 5842 11894 5846 11895 5847 11895 5842 11895 5848 11896 5842 11896 5847 11896 5845 11897 5846 11897 5842 11897 5849 11898 5839 11898 5842 11898 5850 11899 5849 11899 5842 11899 5848 11900 5850 11900 5842 11900 5851 11901 5791 11901 5844 11901 5852 11902 5844 11902 5791 11902 5843 11903 5851 11903 5844 11903 5852 11904 5845 11904 5844 11904 5853 11905 5791 11905 5794 11905 5851 11906 5797 11906 5791 11906 5853 11907 5854 11907 5791 11907 5852 11908 5791 11908 5854 11908 5732 11909 5855 11909 5794 11909 5856 11910 5794 11910 5855 11910 5853 11911 5794 11911 5856 11911 5734 11912 5857 11912 5855 11912 5858 11913 5855 11913 5857 11913 5732 11914 5734 11914 5855 11914 5856 11915 5855 11915 5858 11915 5733 11916 5785 11916 5857 11916 5859 11917 5857 11917 5785 11917 5734 11918 5733 11918 5857 11918 5858 11919 5857 11919 5859 11919 5860 11920 5785 11920 5790 11920 5735 11921 5736 11921 5785 11921 5733 11922 5735 11922 5785 11922 5859 11923 5785 11923 5860 11923 5741 11924 5861 11924 5790 11924 5862 11925 5790 11925 5861 11925 5860 11926 5790 11926 5862 11926 5749 11927 5750 11927 5861 11927 5751 11928 5861 11928 5750 11928 5747 11929 5749 11929 5861 11929 5744 11930 5747 11930 5861 11930 5741 11931 5744 11931 5861 11931 5863 11932 5861 11932 5751 11932 5863 11933 5862 11933 5861 11933 5728 11934 5730 11934 5799 11934 5864 11935 5799 11935 5797 11935 5864 11936 5728 11936 5799 11936 5865 11937 5866 11937 5797 11937 5867 11938 5797 11938 5866 11938 5868 11939 5865 11939 5797 11939 5851 11940 5868 11940 5797 11940 5864 11941 5797 11941 5867 11941 5869 11942 5866 11942 5865 11942 5867 11943 5866 11943 5869 11943 5870 11944 5865 11944 5868 11944 5869 11945 5865 11945 5870 11945 5870 11946 5868 11946 5851 11946 5871 11947 5851 11947 5843 11947 5870 11948 5851 11948 5871 11948 5841 11949 5872 11949 5843 11949 5873 11950 5843 11950 5872 11950 5871 11951 5843 11951 5873 11951 5874 11952 5872 11952 5841 11952 5873 11953 5872 11953 5874 11953 5875 11954 5841 11954 5837 11954 5874 11955 5841 11955 5875 11955 5876 11956 5837 11956 5821 11956 5875 11957 5837 11957 5876 11957 5877 11958 5821 11958 5820 11958 5876 11959 5821 11959 5877 11959 5878 11960 5820 11960 5824 11960 5879 11961 5820 11961 5878 11961 5877 11962 5820 11962 5879 11962 5825 11963 5878 11963 5824 11963 5880 11964 5847 11964 5846 11964 5880 11965 5848 11965 5847 11965 5881 11966 5882 11966 5846 11966 5883 11967 5846 11967 5882 11967 5845 11968 5881 11968 5846 11968 5880 11969 5846 11969 5883 11969 5884 11970 5882 11970 5885 11970 5881 11971 5885 11971 5882 11971 5886 11972 5882 11972 5884 11972 5883 11973 5882 11973 5886 11973 5881 11974 5884 11974 5885 11974 5887 11975 5884 11975 5881 11975 5888 11976 5886 11976 5884 11976 5888 11977 5884 11977 5887 11977 5889 11978 5881 11978 5845 11978 5887 11979 5881 11979 5889 11979 5889 11980 5845 11980 5852 11980 5840 11981 5839 11981 5849 11981 5890 11982 5849 11982 5850 11982 5840 11983 5849 11983 5890 11983 5880 11984 5850 11984 5848 11984 5891 11985 5850 11985 5880 11985 5892 11986 5850 11986 5891 11986 5890 11987 5850 11987 5892 11987 5893 11988 5756 11988 5755 11988 5893 11989 5748 11989 5756 11989 5894 11990 5755 11990 5757 11990 5893 11991 5755 11991 5894 11991 5895 11992 5757 11992 5758 11992 5896 11993 5757 11993 5895 11993 5894 11994 5757 11994 5896 11994 5759 11995 5895 11995 5758 11995 5897 11996 5895 11996 5759 11996 5898 11997 5895 11997 5897 11997 5896 11998 5895 11998 5898 11998 5899 11999 5759 11999 5754 11999 5897 12000 5759 12000 5899 12000 5828 12001 5899 12001 5754 12001 5863 12002 5751 12002 5752 12002 5900 12003 5752 12003 5753 12003 5863 12004 5752 12004 5900 12004 5893 12005 5753 12005 5748 12005 5901 12006 5753 12006 5893 12006 5902 12007 5753 12007 5901 12007 5900 12008 5753 12008 5902 12008 5903 12009 5691 12009 5692 12009 5904 12010 5903 12010 5692 12010 5693 12011 5904 12011 5692 12011 5903 12012 5689 12012 5691 12012 5905 12013 5688 12013 5689 12013 5906 12014 5905 12014 5689 12014 5903 12015 5906 12015 5689 12015 5907 12016 5686 12016 5688 12016 5905 12017 5907 12017 5688 12017 5908 12018 5683 12018 5686 12018 5907 12019 5908 12019 5686 12019 5909 12020 5680 12020 5683 12020 5908 12021 5909 12021 5683 12021 5910 12022 5678 12022 5680 12022 5909 12023 5910 12023 5680 12023 5911 12024 5678 12024 5910 12024 5911 12025 5679 12025 5678 12025 5830 12026 5910 12026 5909 12026 5829 12027 5911 12027 5910 12027 5830 12028 5829 12028 5910 12028 5862 12029 5909 12029 5908 12029 5862 12030 5830 12030 5909 12030 5860 12031 5908 12031 5907 12031 5860 12032 5862 12032 5908 12032 5858 12033 5907 12033 5905 12033 5859 12034 5860 12034 5907 12034 5858 12035 5859 12035 5907 12035 5856 12036 5905 12036 5906 12036 5856 12037 5858 12037 5905 12037 5853 12038 5906 12038 5903 12038 5853 12039 5856 12039 5906 12039 5853 12040 5903 12040 5904 12040 5912 12041 5904 12041 5693 12041 5854 12042 5904 12042 5912 12042 5853 12043 5904 12043 5854 12043 5911 12044 5702 12044 5679 12044 5913 12045 5701 12045 5702 12045 5914 12046 5913 12046 5702 12046 5911 12047 5914 12047 5702 12047 5915 12048 5699 12048 5701 12048 5913 12049 5915 12049 5701 12049 5916 12050 5696 12050 5699 12050 5915 12051 5916 12051 5699 12051 5912 12052 5693 12052 5696 12052 5916 12053 5912 12053 5696 12053 5836 12054 5912 12054 5916 12054 5836 12055 5854 12055 5912 12055 5835 12056 5916 12056 5915 12056 5835 12057 5836 12057 5916 12057 5833 12058 5915 12058 5913 12058 5834 12059 5835 12059 5915 12059 5833 12060 5834 12060 5915 12060 5832 12061 5913 12061 5914 12061 5832 12062 5833 12062 5913 12062 5829 12063 5914 12063 5911 12063 5829 12064 5832 12064 5914 12064 5917 12065 5854 12065 5836 12065 5917 12066 5886 12066 5854 12066 5888 12067 5854 12067 5886 12067 5889 12068 5852 12068 5854 12068 5887 12069 5889 12069 5854 12069 5888 12070 5887 12070 5854 12070 5918 12071 5836 12071 5919 12071 5840 12072 5919 12072 5836 12072 5917 12073 5836 12073 5918 12073 5920 12074 5830 12074 5862 12074 5921 12075 5830 12075 5920 12075 5831 12076 5830 12076 5921 12076 5863 12077 5920 12077 5862 12077 5917 12078 5883 12078 5886 12078 5918 12079 5880 12079 5883 12079 5917 12080 5918 12080 5883 12080 5919 12081 5891 12081 5880 12081 5918 12082 5919 12082 5880 12082 5890 12083 5892 12083 5891 12083 5919 12084 5890 12084 5891 12084 5840 12085 5890 12085 5919 12085 5896 12086 5921 12086 5920 12086 5894 12087 5896 12087 5920 12087 5863 12088 5894 12088 5920 12088 5899 12089 5831 12089 5921 12089 5897 12090 5899 12090 5921 12090 5898 12091 5897 12091 5921 12091 5896 12092 5898 12092 5921 12092 5828 12093 5831 12093 5899 12093 5900 12094 5893 12094 5894 12094 5863 12095 5900 12095 5894 12095 5900 12096 5901 12096 5893 12096 5900 12097 5902 12097 5901 12097 5722 12098 5729 12098 5728 12098 5864 12099 5867 12099 5728 12099 5722 12100 5728 12100 5867 12100 5722 12101 5726 12101 5729 12101 5823 12102 5826 12102 5774 12102 5823 12103 5774 12103 5777 12103 5708 12104 5879 12104 5878 12104 5825 12105 5708 12105 5878 12105 5710 12106 5877 12106 5879 12106 5708 12107 5710 12107 5879 12107 5713 12108 5876 12108 5877 12108 5710 12109 5713 12109 5877 12109 5715 12110 5875 12110 5876 12110 5713 12111 5715 12111 5876 12111 5716 12112 5874 12112 5875 12112 5715 12113 5716 12113 5875 12113 5716 12114 5873 12114 5874 12114 5717 12115 5871 12115 5873 12115 5716 12116 5717 12116 5873 12116 5720 12117 5870 12117 5871 12117 5719 12118 5720 12118 5871 12118 5717 12119 5719 12119 5871 12119 5721 12120 5869 12120 5870 12120 5720 12121 5721 12121 5870 12121 5721 12122 5867 12122 5869 12122 5721 12123 5722 12123 5867 12123 5722 12124 5725 12124 5726 12124 5723 12125 5724 12125 5725 12125 5722 12126 5723 12126 5725 12126 5825 12127 5706 12127 5708 12127 5823 12128 5703 12128 5706 12128 5825 12129 5823 12129 5706 12129 5781 12130 5782 12130 5703 12130 5823 12131 5781 12131 5703 12131 5779 12132 5780 12132 5781 12132 5778 12133 5779 12133 5781 12133 5823 12134 5778 12134 5781 12134 5823 12135 5777 12135 5778 12135 5922 12136 5923 12136 5924 12136 5925 12137 5924 12137 5923 12137 5926 12138 5922 12138 5924 12138 5927 12139 5924 12139 5928 12139 5929 12140 5928 12140 5924 12140 5927 12141 5930 12141 5924 12141 5926 12142 5924 12142 5930 12142 5925 12143 5929 12143 5924 12143 5931 12144 5923 12144 5922 12144 5931 12145 5925 12145 5923 12145 5932 12146 5933 12146 5922 12146 5934 12147 5922 12147 5933 12147 5926 12148 5932 12148 5922 12148 5934 12149 5931 12149 5922 12149 5928 12150 5935 12150 5933 12150 5936 12151 5933 12151 5935 12151 5937 12152 5928 12152 5933 12152 5938 12153 5937 12153 5933 12153 5932 12154 5938 12154 5933 12154 5934 12155 5933 12155 5936 12155 5939 12156 5935 12156 5928 12156 5939 12157 5936 12157 5935 12157 5937 12158 5927 12158 5928 12158 5929 12159 5939 12159 5928 12159 5940 12160 5930 12160 5927 12160 5941 12161 5926 12161 5930 12161 5940 12162 5941 12162 5930 12162 5942 12163 5927 12163 5937 12163 5940 12164 5927 12164 5942 12164 5943 12165 5937 12165 5938 12165 5942 12166 5937 12166 5943 12166 5944 12167 5938 12167 5932 12167 5943 12168 5938 12168 5944 12168 5945 12169 5932 12169 5926 12169 5944 12170 5932 12170 5945 12170 5945 12171 5926 12171 5941 12171 5946 12172 5936 12172 5939 12172 5947 12173 5936 12173 5946 12173 5947 12174 5934 12174 5936 12174 5948 12175 5939 12175 5929 12175 5949 12176 5946 12176 5939 12176 5948 12177 5949 12177 5939 12177 5950 12178 5929 12178 5925 12178 5950 12179 5948 12179 5929 12179 5951 12180 5950 12180 5925 12180 5931 12181 5951 12181 5925 12181 5952 12182 5946 12182 5949 12182 5953 12183 5946 12183 5952 12183 5947 12184 5946 12184 5953 12184 5952 12185 5949 12185 5948 12185 5954 12186 5948 12186 5950 12186 5954 12187 5952 12187 5948 12187 5954 12188 5950 12188 5951 12188 5955 12189 5954 12189 5951 12189 5956 12190 5955 12190 5951 12190 5956 12191 5951 12191 5931 12191 5957 12192 5952 12192 5954 12192 5957 12193 5958 12193 5952 12193 5953 12194 5952 12194 5958 12194 5959 12195 5954 12195 5955 12195 5959 12196 5957 12196 5954 12196 5959 12197 5955 12197 5960 12197 5953 12198 5960 12198 5955 12198 5961 12199 5953 12199 5955 12199 5961 12200 5955 12200 5956 12200 5953 12201 5958 12201 5960 12201 5962 12202 5960 12202 5958 12202 5963 12203 5959 12203 5960 12203 5962 12204 5963 12204 5960 12204 5964 12205 5958 12205 5957 12205 5964 12206 5962 12206 5958 12206 5965 12207 5957 12207 5959 12207 5964 12208 5957 12208 5965 12208 5963 12209 5965 12209 5959 12209 5947 12210 5953 12210 5961 12210 5962 12211 5965 12211 5963 12211 5964 12212 5965 12212 5962 12212 5961 12213 5931 12213 5934 12213 5961 12214 5956 12214 5931 12214 5947 12215 5961 12215 5934 12215 5944 12216 5945 12216 5941 12216 5940 12217 5944 12217 5941 12217 5940 12218 5943 12218 5944 12218 5940 12219 5942 12219 5943 12219 5966 12220 5967 12220 5968 12220 5969 12221 5968 12221 5967 12221 5970 12222 5966 12222 5968 12222 5971 12223 5968 12223 5972 12223 5973 12224 5972 12224 5968 12224 5971 12225 5974 12225 5968 12225 5970 12226 5968 12226 5974 12226 5969 12227 5973 12227 5968 12227 5975 12228 5967 12228 5966 12228 5975 12229 5969 12229 5967 12229 5976 12230 5977 12230 5966 12230 5978 12231 5966 12231 5977 12231 5970 12232 5976 12232 5966 12232 5978 12233 5975 12233 5966 12233 5972 12234 5979 12234 5977 12234 5980 12235 5977 12235 5979 12235 5981 12236 5972 12236 5977 12236 5982 12237 5981 12237 5977 12237 5976 12238 5982 12238 5977 12238 5978 12239 5977 12239 5980 12239 5983 12240 5979 12240 5972 12240 5983 12241 5980 12241 5979 12241 5981 12242 5971 12242 5972 12242 5973 12243 5983 12243 5972 12243 5984 12244 5974 12244 5971 12244 5985 12245 5970 12245 5974 12245 5984 12246 5985 12246 5974 12246 5986 12247 5971 12247 5981 12247 5984 12248 5971 12248 5986 12248 5987 12249 5981 12249 5982 12249 5986 12250 5981 12250 5987 12250 5988 12251 5982 12251 5976 12251 5987 12252 5982 12252 5988 12252 5989 12253 5976 12253 5970 12253 5988 12254 5976 12254 5989 12254 5989 12255 5970 12255 5985 12255 5990 12256 5980 12256 5983 12256 5991 12257 5980 12257 5990 12257 5991 12258 5978 12258 5980 12258 5992 12259 5983 12259 5973 12259 5993 12260 5990 12260 5983 12260 5992 12261 5993 12261 5983 12261 5994 12262 5973 12262 5969 12262 5994 12263 5992 12263 5973 12263 5995 12264 5994 12264 5969 12264 5975 12265 5995 12265 5969 12265 5996 12266 5990 12266 5993 12266 5997 12267 5990 12267 5996 12267 5991 12268 5990 12268 5997 12268 5996 12269 5993 12269 5992 12269 5998 12270 5992 12270 5994 12270 5998 12271 5996 12271 5992 12271 5998 12272 5994 12272 5995 12272 5999 12273 5998 12273 5995 12273 6000 12274 5999 12274 5995 12274 6000 12275 5995 12275 5975 12275 6001 12276 5996 12276 5998 12276 6001 12277 6002 12277 5996 12277 5997 12278 5996 12278 6002 12278 6003 12279 5998 12279 5999 12279 6003 12280 6001 12280 5998 12280 6003 12281 5999 12281 6004 12281 5997 12282 6004 12282 5999 12282 6005 12283 5997 12283 5999 12283 6005 12284 5999 12284 6000 12284 5997 12285 6002 12285 6004 12285 6006 12286 6004 12286 6002 12286 6007 12287 6003 12287 6004 12287 6006 12288 6007 12288 6004 12288 6008 12289 6002 12289 6001 12289 6008 12290 6006 12290 6002 12290 6009 12291 6001 12291 6003 12291 6008 12292 6001 12292 6009 12292 6007 12293 6009 12293 6003 12293 5991 12294 5997 12294 6005 12294 6006 12295 6009 12295 6007 12295 6008 12296 6009 12296 6006 12296 6005 12297 5975 12297 5978 12297 6005 12298 6000 12298 5975 12298 5991 12299 6005 12299 5978 12299 5988 12300 5989 12300 5985 12300 5984 12301 5988 12301 5985 12301 5984 12302 5987 12302 5988 12302 5984 12303 5986 12303 5987 12303 6010 12304 6011 12304 6012 12304 6013 12305 6012 12305 6011 12305 6014 12306 6010 12306 6012 12306 6015 12307 6012 12307 6016 12307 6017 12308 6016 12308 6012 12308 6015 12309 6018 12309 6012 12309 6014 12310 6012 12310 6018 12310 6013 12311 6017 12311 6012 12311 6019 12312 6011 12312 6010 12312 6019 12313 6013 12313 6011 12313 6020 12314 6021 12314 6010 12314 6022 12315 6010 12315 6021 12315 6014 12316 6020 12316 6010 12316 6022 12317 6019 12317 6010 12317 6016 12318 6023 12318 6021 12318 6024 12319 6021 12319 6023 12319 6025 12320 6016 12320 6021 12320 6026 12321 6025 12321 6021 12321 6020 12322 6026 12322 6021 12322 6022 12323 6021 12323 6024 12323 6027 12324 6023 12324 6016 12324 6027 12325 6024 12325 6023 12325 6025 12326 6015 12326 6016 12326 6017 12327 6027 12327 6016 12327 6028 12328 6018 12328 6015 12328 6029 12329 6014 12329 6018 12329 6028 12330 6029 12330 6018 12330 6030 12331 6015 12331 6025 12331 6028 12332 6015 12332 6030 12332 6031 12333 6025 12333 6026 12333 6030 12334 6025 12334 6031 12334 6032 12335 6026 12335 6020 12335 6031 12336 6026 12336 6032 12336 6033 12337 6020 12337 6014 12337 6032 12338 6020 12338 6033 12338 6033 12339 6014 12339 6029 12339 6034 12340 6024 12340 6027 12340 6035 12341 6024 12341 6034 12341 6035 12342 6022 12342 6024 12342 6036 12343 6027 12343 6017 12343 6037 12344 6034 12344 6027 12344 6036 12345 6037 12345 6027 12345 6038 12346 6017 12346 6013 12346 6038 12347 6036 12347 6017 12347 6039 12348 6038 12348 6013 12348 6019 12349 6039 12349 6013 12349 6040 12350 6034 12350 6037 12350 6041 12351 6034 12351 6040 12351 6035 12352 6034 12352 6041 12352 6040 12353 6037 12353 6036 12353 6042 12354 6036 12354 6038 12354 6042 12355 6040 12355 6036 12355 6042 12356 6038 12356 6039 12356 6043 12357 6042 12357 6039 12357 6044 12358 6043 12358 6039 12358 6044 12359 6039 12359 6019 12359 6045 12360 6040 12360 6042 12360 6045 12361 6046 12361 6040 12361 6041 12362 6040 12362 6046 12362 6047 12363 6042 12363 6043 12363 6047 12364 6045 12364 6042 12364 6047 12365 6043 12365 6048 12365 6041 12366 6048 12366 6043 12366 6049 12367 6041 12367 6043 12367 6049 12368 6043 12368 6044 12368 6041 12369 6046 12369 6048 12369 6050 12370 6048 12370 6046 12370 6051 12371 6047 12371 6048 12371 6050 12372 6051 12372 6048 12372 6052 12373 6046 12373 6045 12373 6052 12374 6050 12374 6046 12374 6053 12375 6045 12375 6047 12375 6052 12376 6045 12376 6053 12376 6051 12377 6053 12377 6047 12377 6035 12378 6041 12378 6049 12378 6050 12379 6053 12379 6051 12379 6052 12380 6053 12380 6050 12380 6049 12381 6019 12381 6022 12381 6049 12382 6044 12382 6019 12382 6035 12383 6049 12383 6022 12383 6032 12384 6033 12384 6029 12384 6028 12385 6032 12385 6029 12385 6028 12386 6031 12386 6032 12386 6028 12387 6030 12387 6031 12387 6054 12388 6055 12388 6056 12388 6057 12389 6056 12389 6055 12389 6058 12390 6054 12390 6056 12390 6059 12391 6056 12391 6060 12391 6061 12392 6060 12392 6056 12392 6059 12393 6062 12393 6056 12393 6058 12394 6056 12394 6062 12394 6057 12395 6061 12395 6056 12395 6063 12396 6055 12396 6054 12396 6063 12397 6057 12397 6055 12397 6064 12398 6065 12398 6054 12398 6066 12399 6054 12399 6065 12399 6058 12400 6064 12400 6054 12400 6066 12401 6063 12401 6054 12401 6060 12402 6067 12402 6065 12402 6068 12403 6065 12403 6067 12403 6069 12404 6060 12404 6065 12404 6070 12405 6069 12405 6065 12405 6064 12406 6070 12406 6065 12406 6066 12407 6065 12407 6068 12407 6071 12408 6067 12408 6060 12408 6071 12409 6068 12409 6067 12409 6069 12410 6059 12410 6060 12410 6061 12411 6071 12411 6060 12411 6072 12412 6062 12412 6059 12412 6073 12413 6058 12413 6062 12413 6072 12414 6073 12414 6062 12414 6074 12415 6059 12415 6069 12415 6072 12416 6059 12416 6074 12416 6075 12417 6069 12417 6070 12417 6074 12418 6069 12418 6075 12418 6076 12419 6070 12419 6064 12419 6075 12420 6070 12420 6076 12420 6077 12421 6064 12421 6058 12421 6076 12422 6064 12422 6077 12422 6077 12423 6058 12423 6073 12423 6078 12424 6068 12424 6071 12424 6079 12425 6068 12425 6078 12425 6079 12426 6066 12426 6068 12426 6080 12427 6071 12427 6061 12427 6081 12428 6078 12428 6071 12428 6080 12429 6081 12429 6071 12429 6082 12430 6061 12430 6057 12430 6082 12431 6080 12431 6061 12431 6083 12432 6082 12432 6057 12432 6063 12433 6083 12433 6057 12433 6084 12434 6078 12434 6081 12434 6085 12435 6078 12435 6084 12435 6079 12436 6078 12436 6085 12436 6084 12437 6081 12437 6080 12437 6086 12438 6080 12438 6082 12438 6086 12439 6084 12439 6080 12439 6086 12440 6082 12440 6083 12440 6087 12441 6086 12441 6083 12441 6088 12442 6087 12442 6083 12442 6088 12443 6083 12443 6063 12443 6089 12444 6084 12444 6086 12444 6089 12445 6090 12445 6084 12445 6085 12446 6084 12446 6090 12446 6091 12447 6086 12447 6087 12447 6091 12448 6089 12448 6086 12448 6091 12449 6087 12449 6092 12449 6085 12450 6092 12450 6087 12450 6093 12451 6085 12451 6087 12451 6093 12452 6087 12452 6088 12452 6085 12453 6090 12453 6092 12453 6094 12454 6092 12454 6090 12454 6095 12455 6091 12455 6092 12455 6094 12456 6095 12456 6092 12456 6096 12457 6090 12457 6089 12457 6096 12458 6094 12458 6090 12458 6097 12459 6089 12459 6091 12459 6096 12460 6089 12460 6097 12460 6095 12461 6097 12461 6091 12461 6079 12462 6085 12462 6093 12462 6094 12463 6097 12463 6095 12463 6096 12464 6097 12464 6094 12464 6093 12465 6063 12465 6066 12465 6093 12466 6088 12466 6063 12466 6079 12467 6093 12467 6066 12467 6076 12468 6077 12468 6073 12468 6072 12469 6076 12469 6073 12469 6072 12470 6075 12470 6076 12470 6072 12471 6074 12471 6075 12471 6098 12472 6099 12472 6100 12472 6101 12473 6100 12473 6099 12473 6102 12474 6098 12474 6100 12474 6103 12475 6100 12475 6104 12475 6105 12476 6104 12476 6100 12476 6103 12477 6106 12477 6100 12477 6102 12478 6100 12478 6106 12478 6101 12479 6105 12479 6100 12479 6107 12480 6099 12480 6098 12480 6107 12481 6101 12481 6099 12481 6108 12482 6109 12482 6098 12482 6110 12483 6098 12483 6109 12483 6102 12484 6108 12484 6098 12484 6110 12485 6107 12485 6098 12485 6104 12486 6111 12486 6109 12486 6112 12487 6109 12487 6111 12487 6113 12488 6104 12488 6109 12488 6114 12489 6113 12489 6109 12489 6108 12490 6114 12490 6109 12490 6110 12491 6109 12491 6112 12491 6115 12492 6111 12492 6104 12492 6115 12493 6112 12493 6111 12493 6113 12494 6103 12494 6104 12494 6105 12495 6115 12495 6104 12495 6116 12496 6106 12496 6103 12496 6117 12497 6102 12497 6106 12497 6116 12498 6117 12498 6106 12498 6118 12499 6103 12499 6113 12499 6116 12500 6103 12500 6118 12500 6119 12501 6113 12501 6114 12501 6118 12502 6113 12502 6119 12502 6120 12503 6114 12503 6108 12503 6119 12504 6114 12504 6120 12504 6121 12505 6108 12505 6102 12505 6120 12506 6108 12506 6121 12506 6121 12507 6102 12507 6117 12507 6122 12508 6112 12508 6115 12508 6123 12509 6112 12509 6122 12509 6123 12510 6110 12510 6112 12510 6124 12511 6115 12511 6105 12511 6125 12512 6122 12512 6115 12512 6124 12513 6125 12513 6115 12513 6126 12514 6105 12514 6101 12514 6126 12515 6124 12515 6105 12515 6127 12516 6126 12516 6101 12516 6107 12517 6127 12517 6101 12517 6128 12518 6122 12518 6125 12518 6129 12519 6122 12519 6128 12519 6123 12520 6122 12520 6129 12520 6128 12521 6125 12521 6124 12521 6130 12522 6124 12522 6126 12522 6130 12523 6128 12523 6124 12523 6130 12524 6126 12524 6127 12524 6131 12525 6130 12525 6127 12525 6132 12526 6131 12526 6127 12526 6132 12527 6127 12527 6107 12527 6133 12528 6128 12528 6130 12528 6133 12529 6134 12529 6128 12529 6129 12530 6128 12530 6134 12530 6135 12531 6130 12531 6131 12531 6135 12532 6133 12532 6130 12532 6135 12533 6131 12533 6136 12533 6129 12534 6136 12534 6131 12534 6137 12535 6129 12535 6131 12535 6137 12536 6131 12536 6132 12536 6129 12537 6134 12537 6136 12537 6138 12538 6136 12538 6134 12538 6139 12539 6135 12539 6136 12539 6138 12540 6139 12540 6136 12540 6140 12541 6134 12541 6133 12541 6140 12542 6138 12542 6134 12542 6141 12543 6133 12543 6135 12543 6140 12544 6133 12544 6141 12544 6139 12545 6141 12545 6135 12545 6123 12546 6129 12546 6137 12546 6138 12547 6141 12547 6139 12547 6140 12548 6141 12548 6138 12548 6137 12549 6107 12549 6110 12549 6137 12550 6132 12550 6107 12550 6123 12551 6137 12551 6110 12551 6120 12552 6121 12552 6117 12552 6116 12553 6120 12553 6117 12553 6116 12554 6119 12554 6120 12554 6116 12555 6118 12555 6119 12555 6142 12556 6143 12556 6144 12556 6145 12557 6144 12557 6143 12557 6146 12558 6142 12558 6144 12558 6147 12559 6144 12559 6148 12559 6149 12560 6148 12560 6144 12560 6147 12561 6150 12561 6144 12561 6146 12562 6144 12562 6150 12562 6145 12563 6149 12563 6144 12563 6151 12564 6143 12564 6142 12564 6151 12565 6145 12565 6143 12565 6152 12566 6153 12566 6142 12566 6154 12567 6142 12567 6153 12567 6146 12568 6152 12568 6142 12568 6154 12569 6151 12569 6142 12569 6148 12570 6155 12570 6153 12570 6156 12571 6153 12571 6155 12571 6157 12572 6148 12572 6153 12572 6158 12573 6157 12573 6153 12573 6152 12574 6158 12574 6153 12574 6154 12575 6153 12575 6156 12575 6159 12576 6155 12576 6148 12576 6159 12577 6156 12577 6155 12577 6157 12578 6147 12578 6148 12578 6149 12579 6159 12579 6148 12579 6160 12580 6150 12580 6147 12580 6161 12581 6146 12581 6150 12581 6160 12582 6161 12582 6150 12582 6162 12583 6147 12583 6157 12583 6160 12584 6147 12584 6162 12584 6163 12585 6157 12585 6158 12585 6162 12586 6157 12586 6163 12586 6164 12587 6158 12587 6152 12587 6163 12588 6158 12588 6164 12588 6165 12589 6152 12589 6146 12589 6164 12590 6152 12590 6165 12590 6165 12591 6146 12591 6161 12591 6166 12592 6156 12592 6159 12592 6167 12593 6156 12593 6166 12593 6167 12594 6154 12594 6156 12594 6168 12595 6159 12595 6149 12595 6169 12596 6166 12596 6159 12596 6168 12597 6169 12597 6159 12597 6170 12598 6149 12598 6145 12598 6170 12599 6168 12599 6149 12599 6171 12600 6170 12600 6145 12600 6151 12601 6171 12601 6145 12601 6172 12602 6166 12602 6169 12602 6173 12603 6166 12603 6172 12603 6167 12604 6166 12604 6173 12604 6172 12605 6169 12605 6168 12605 6174 12606 6168 12606 6170 12606 6174 12607 6172 12607 6168 12607 6174 12608 6170 12608 6171 12608 6175 12609 6174 12609 6171 12609 6176 12610 6175 12610 6171 12610 6176 12611 6171 12611 6151 12611 6177 12612 6172 12612 6174 12612 6177 12613 6178 12613 6172 12613 6173 12614 6172 12614 6178 12614 6179 12615 6174 12615 6175 12615 6179 12616 6177 12616 6174 12616 6179 12617 6175 12617 6180 12617 6173 12618 6180 12618 6175 12618 6181 12619 6173 12619 6175 12619 6181 12620 6175 12620 6176 12620 6173 12621 6178 12621 6180 12621 6182 12622 6180 12622 6178 12622 6183 12623 6179 12623 6180 12623 6182 12624 6183 12624 6180 12624 6184 12625 6178 12625 6177 12625 6184 12626 6182 12626 6178 12626 6185 12627 6177 12627 6179 12627 6184 12628 6177 12628 6185 12628 6183 12629 6185 12629 6179 12629 6167 12630 6173 12630 6181 12630 6182 12631 6185 12631 6183 12631 6184 12632 6185 12632 6182 12632 6181 12633 6151 12633 6154 12633 6181 12634 6176 12634 6151 12634 6167 12635 6181 12635 6154 12635 6164 12636 6165 12636 6161 12636 6160 12637 6164 12637 6161 12637 6160 12638 6163 12638 6164 12638 6160 12639 6162 12639 6163 12639 6186 12640 6187 12640 6188 12640 6189 12641 6188 12641 6187 12641 6190 12642 6186 12642 6188 12642 6191 12643 6188 12643 6192 12643 6193 12644 6192 12644 6188 12644 6191 12645 6194 12645 6188 12645 6190 12646 6188 12646 6194 12646 6189 12647 6193 12647 6188 12647 6195 12648 6187 12648 6186 12648 6195 12649 6189 12649 6187 12649 6196 12650 6197 12650 6186 12650 6198 12651 6186 12651 6197 12651 6190 12652 6196 12652 6186 12652 6198 12653 6195 12653 6186 12653 6192 12654 6199 12654 6197 12654 6200 12655 6197 12655 6199 12655 6201 12656 6192 12656 6197 12656 6202 12657 6201 12657 6197 12657 6196 12658 6202 12658 6197 12658 6198 12659 6197 12659 6200 12659 6203 12660 6199 12660 6192 12660 6203 12661 6200 12661 6199 12661 6201 12662 6191 12662 6192 12662 6193 12663 6203 12663 6192 12663 6204 12664 6194 12664 6191 12664 6205 12665 6190 12665 6194 12665 6204 12666 6205 12666 6194 12666 6206 12667 6191 12667 6201 12667 6204 12668 6191 12668 6206 12668 6207 12669 6201 12669 6202 12669 6206 12670 6201 12670 6207 12670 6208 12671 6202 12671 6196 12671 6207 12672 6202 12672 6208 12672 6209 12673 6196 12673 6190 12673 6208 12674 6196 12674 6209 12674 6209 12675 6190 12675 6205 12675 6210 12676 6200 12676 6203 12676 6211 12677 6200 12677 6210 12677 6211 12678 6198 12678 6200 12678 6212 12679 6203 12679 6193 12679 6213 12680 6210 12680 6203 12680 6212 12681 6213 12681 6203 12681 6214 12682 6193 12682 6189 12682 6214 12683 6212 12683 6193 12683 6215 12684 6214 12684 6189 12684 6195 12685 6215 12685 6189 12685 6216 12686 6210 12686 6213 12686 6217 12687 6210 12687 6216 12687 6211 12688 6210 12688 6217 12688 6216 12689 6213 12689 6212 12689 6218 12690 6212 12690 6214 12690 6218 12691 6216 12691 6212 12691 6218 12692 6214 12692 6215 12692 6219 12693 6218 12693 6215 12693 6220 12694 6219 12694 6215 12694 6220 12695 6215 12695 6195 12695 6221 12696 6216 12696 6218 12696 6221 12697 6222 12697 6216 12697 6217 12698 6216 12698 6222 12698 6223 12699 6218 12699 6219 12699 6223 12700 6221 12700 6218 12700 6223 12701 6219 12701 6224 12701 6217 12702 6224 12702 6219 12702 6225 12703 6217 12703 6219 12703 6225 12704 6219 12704 6220 12704 6217 12705 6222 12705 6224 12705 6226 12706 6224 12706 6222 12706 6227 12707 6223 12707 6224 12707 6226 12708 6227 12708 6224 12708 6228 12709 6222 12709 6221 12709 6228 12710 6226 12710 6222 12710 6229 12711 6221 12711 6223 12711 6228 12712 6221 12712 6229 12712 6227 12713 6229 12713 6223 12713 6211 12714 6217 12714 6225 12714 6226 12715 6229 12715 6227 12715 6228 12716 6229 12716 6226 12716 6225 12717 6195 12717 6198 12717 6225 12718 6220 12718 6195 12718 6211 12719 6225 12719 6198 12719 6208 12720 6209 12720 6205 12720 6204 12721 6208 12721 6205 12721 6204 12722 6207 12722 6208 12722 6204 12723 6206 12723 6207 12723 6230 12724 6231 12724 6232 12724 6233 12725 6232 12725 6231 12725 6234 12726 6230 12726 6232 12726 6235 12727 6232 12727 6236 12727 6237 12728 6236 12728 6232 12728 6235 12729 6238 12729 6232 12729 6234 12730 6232 12730 6238 12730 6233 12731 6237 12731 6232 12731 6239 12732 6231 12732 6230 12732 6239 12733 6233 12733 6231 12733 6240 12734 6241 12734 6230 12734 6242 12735 6230 12735 6241 12735 6234 12736 6240 12736 6230 12736 6242 12737 6239 12737 6230 12737 6236 12738 6243 12738 6241 12738 6244 12739 6241 12739 6243 12739 6245 12740 6236 12740 6241 12740 6246 12741 6245 12741 6241 12741 6240 12742 6246 12742 6241 12742 6242 12743 6241 12743 6244 12743 6247 12744 6243 12744 6236 12744 6247 12745 6244 12745 6243 12745 6245 12746 6235 12746 6236 12746 6237 12747 6247 12747 6236 12747 6248 12748 6238 12748 6235 12748 6249 12749 6234 12749 6238 12749 6248 12750 6249 12750 6238 12750 6250 12751 6235 12751 6245 12751 6248 12752 6235 12752 6250 12752 6251 12753 6245 12753 6246 12753 6250 12754 6245 12754 6251 12754 6252 12755 6246 12755 6240 12755 6251 12756 6246 12756 6252 12756 6253 12757 6240 12757 6234 12757 6252 12758 6240 12758 6253 12758 6253 12759 6234 12759 6249 12759 6254 12760 6244 12760 6247 12760 6255 12761 6244 12761 6254 12761 6255 12762 6242 12762 6244 12762 6256 12763 6247 12763 6237 12763 6257 12764 6254 12764 6247 12764 6256 12765 6257 12765 6247 12765 6258 12766 6237 12766 6233 12766 6258 12767 6256 12767 6237 12767 6259 12768 6258 12768 6233 12768 6239 12769 6259 12769 6233 12769 6260 12770 6254 12770 6257 12770 6261 12771 6254 12771 6260 12771 6255 12772 6254 12772 6261 12772 6260 12773 6257 12773 6256 12773 6262 12774 6256 12774 6258 12774 6262 12775 6260 12775 6256 12775 6262 12776 6258 12776 6259 12776 6263 12777 6262 12777 6259 12777 6264 12778 6263 12778 6259 12778 6264 12779 6259 12779 6239 12779 6265 12780 6260 12780 6262 12780 6265 12781 6266 12781 6260 12781 6261 12782 6260 12782 6266 12782 6267 12783 6262 12783 6263 12783 6267 12784 6265 12784 6262 12784 6267 12785 6263 12785 6268 12785 6261 12786 6268 12786 6263 12786 6269 12787 6261 12787 6263 12787 6269 12788 6263 12788 6264 12788 6261 12789 6266 12789 6268 12789 6270 12790 6268 12790 6266 12790 6271 12791 6267 12791 6268 12791 6270 12792 6271 12792 6268 12792 6272 12793 6266 12793 6265 12793 6272 12794 6270 12794 6266 12794 6273 12795 6265 12795 6267 12795 6272 12796 6265 12796 6273 12796 6271 12797 6273 12797 6267 12797 6255 12798 6261 12798 6269 12798 6270 12799 6273 12799 6271 12799 6272 12800 6273 12800 6270 12800 6269 12801 6239 12801 6242 12801 6269 12802 6264 12802 6239 12802 6255 12803 6269 12803 6242 12803 6252 12804 6253 12804 6249 12804 6248 12805 6252 12805 6249 12805 6248 12806 6251 12806 6252 12806 6248 12807 6250 12807 6251 12807 6274 12808 6275 12808 6276 12808 6277 12809 6276 12809 6275 12809 6278 12810 6274 12810 6276 12810 6279 12811 6276 12811 6280 12811 6281 12812 6280 12812 6276 12812 6279 12813 6282 12813 6276 12813 6278 12814 6276 12814 6282 12814 6277 12815 6281 12815 6276 12815 6283 12816 6275 12816 6274 12816 6283 12817 6277 12817 6275 12817 6284 12818 6285 12818 6274 12818 6286 12819 6274 12819 6285 12819 6278 12820 6284 12820 6274 12820 6286 12821 6283 12821 6274 12821 6280 12822 6287 12822 6285 12822 6288 12823 6285 12823 6287 12823 6289 12824 6280 12824 6285 12824 6290 12825 6289 12825 6285 12825 6284 12826 6290 12826 6285 12826 6286 12827 6285 12827 6288 12827 6291 12828 6287 12828 6280 12828 6291 12829 6288 12829 6287 12829 6289 12830 6279 12830 6280 12830 6281 12831 6291 12831 6280 12831 6292 12832 6282 12832 6279 12832 6293 12833 6278 12833 6282 12833 6292 12834 6293 12834 6282 12834 6294 12835 6279 12835 6289 12835 6292 12836 6279 12836 6294 12836 6295 12837 6289 12837 6290 12837 6294 12838 6289 12838 6295 12838 6296 12839 6290 12839 6284 12839 6295 12840 6290 12840 6296 12840 6297 12841 6284 12841 6278 12841 6296 12842 6284 12842 6297 12842 6297 12843 6278 12843 6293 12843 6298 12844 6288 12844 6291 12844 6299 12845 6288 12845 6298 12845 6299 12846 6286 12846 6288 12846 6300 12847 6291 12847 6281 12847 6301 12848 6298 12848 6291 12848 6300 12849 6301 12849 6291 12849 6302 12850 6281 12850 6277 12850 6302 12851 6300 12851 6281 12851 6303 12852 6302 12852 6277 12852 6283 12853 6303 12853 6277 12853 6304 12854 6298 12854 6301 12854 6305 12855 6298 12855 6304 12855 6299 12856 6298 12856 6305 12856 6304 12857 6301 12857 6300 12857 6306 12858 6300 12858 6302 12858 6306 12859 6304 12859 6300 12859 6306 12860 6302 12860 6303 12860 6307 12861 6306 12861 6303 12861 6308 12862 6307 12862 6303 12862 6308 12863 6303 12863 6283 12863 6309 12864 6304 12864 6306 12864 6309 12865 6310 12865 6304 12865 6305 12866 6304 12866 6310 12866 6311 12867 6306 12867 6307 12867 6311 12868 6309 12868 6306 12868 6311 12869 6307 12869 6312 12869 6305 12870 6312 12870 6307 12870 6313 12871 6305 12871 6307 12871 6313 12872 6307 12872 6308 12872 6305 12873 6310 12873 6312 12873 6314 12874 6312 12874 6310 12874 6315 12875 6311 12875 6312 12875 6314 12876 6315 12876 6312 12876 6316 12877 6310 12877 6309 12877 6316 12878 6314 12878 6310 12878 6317 12879 6309 12879 6311 12879 6316 12880 6309 12880 6317 12880 6315 12881 6317 12881 6311 12881 6299 12882 6305 12882 6313 12882 6314 12883 6317 12883 6315 12883 6316 12884 6317 12884 6314 12884 6313 12885 6283 12885 6286 12885 6313 12886 6308 12886 6283 12886 6299 12887 6313 12887 6286 12887 6296 12888 6297 12888 6293 12888 6292 12889 6296 12889 6293 12889 6292 12890 6295 12890 6296 12890 6292 12891 6294 12891 6295 12891 6318 12892 6319 12892 6320 12892 6321 12893 6320 12893 6319 12893 6322 12894 6318 12894 6320 12894 6323 12895 6320 12895 6324 12895 6325 12896 6324 12896 6320 12896 6323 12897 6326 12897 6320 12897 6322 12898 6320 12898 6326 12898 6321 12899 6325 12899 6320 12899 6327 12900 6319 12900 6318 12900 6327 12901 6321 12901 6319 12901 6328 12902 6329 12902 6318 12902 6330 12903 6318 12903 6329 12903 6322 12904 6328 12904 6318 12904 6330 12905 6327 12905 6318 12905 6324 12906 6331 12906 6329 12906 6332 12907 6329 12907 6331 12907 6333 12908 6324 12908 6329 12908 6334 12909 6333 12909 6329 12909 6328 12910 6334 12910 6329 12910 6330 12911 6329 12911 6332 12911 6335 12912 6331 12912 6324 12912 6335 12913 6332 12913 6331 12913 6333 12914 6323 12914 6324 12914 6325 12915 6335 12915 6324 12915 6336 12916 6326 12916 6323 12916 6337 12917 6322 12917 6326 12917 6336 12918 6337 12918 6326 12918 6338 12919 6323 12919 6333 12919 6336 12920 6323 12920 6338 12920 6339 12921 6333 12921 6334 12921 6338 12922 6333 12922 6339 12922 6340 12923 6334 12923 6328 12923 6339 12924 6334 12924 6340 12924 6341 12925 6328 12925 6322 12925 6340 12926 6328 12926 6341 12926 6341 12927 6322 12927 6337 12927 6342 12928 6332 12928 6335 12928 6343 12929 6332 12929 6342 12929 6343 12930 6330 12930 6332 12930 6344 12931 6335 12931 6325 12931 6345 12932 6342 12932 6335 12932 6344 12933 6345 12933 6335 12933 6346 12934 6325 12934 6321 12934 6346 12935 6344 12935 6325 12935 6347 12936 6346 12936 6321 12936 6327 12937 6347 12937 6321 12937 6348 12938 6342 12938 6345 12938 6349 12939 6342 12939 6348 12939 6343 12940 6342 12940 6349 12940 6348 12941 6345 12941 6344 12941 6350 12942 6344 12942 6346 12942 6350 12943 6348 12943 6344 12943 6350 12944 6346 12944 6347 12944 6351 12945 6350 12945 6347 12945 6352 12946 6351 12946 6347 12946 6352 12947 6347 12947 6327 12947 6353 12948 6348 12948 6350 12948 6353 12949 6354 12949 6348 12949 6349 12950 6348 12950 6354 12950 6355 12951 6350 12951 6351 12951 6355 12952 6353 12952 6350 12952 6355 12953 6351 12953 6356 12953 6349 12954 6356 12954 6351 12954 6357 12955 6349 12955 6351 12955 6357 12956 6351 12956 6352 12956 6349 12957 6354 12957 6356 12957 6358 12958 6356 12958 6354 12958 6359 12959 6355 12959 6356 12959 6358 12960 6359 12960 6356 12960 6360 12961 6354 12961 6353 12961 6360 12962 6358 12962 6354 12962 6361 12963 6353 12963 6355 12963 6360 12964 6353 12964 6361 12964 6359 12965 6361 12965 6355 12965 6343 12966 6349 12966 6357 12966 6358 12967 6361 12967 6359 12967 6360 12968 6361 12968 6358 12968 6357 12969 6327 12969 6330 12969 6357 12970 6352 12970 6327 12970 6343 12971 6357 12971 6330 12971 6340 12972 6341 12972 6337 12972 6336 12973 6340 12973 6337 12973 6336 12974 6339 12974 6340 12974 6336 12975 6338 12975 6339 12975 6362 12976 6363 12976 6364 12976 6365 12977 6364 12977 6363 12977 6366 12978 6362 12978 6364 12978 6367 12979 6364 12979 6368 12979 6369 12980 6368 12980 6364 12980 6367 12981 6370 12981 6364 12981 6366 12982 6364 12982 6370 12982 6365 12983 6369 12983 6364 12983 6371 12984 6363 12984 6362 12984 6371 12985 6365 12985 6363 12985 6372 12986 6373 12986 6362 12986 6374 12987 6362 12987 6373 12987 6366 12988 6372 12988 6362 12988 6374 12989 6371 12989 6362 12989 6368 12990 6375 12990 6373 12990 6376 12991 6373 12991 6375 12991 6377 12992 6368 12992 6373 12992 6378 12993 6377 12993 6373 12993 6372 12994 6378 12994 6373 12994 6374 12995 6373 12995 6376 12995 6379 12996 6375 12996 6368 12996 6379 12997 6376 12997 6375 12997 6377 12998 6367 12998 6368 12998 6369 12999 6379 12999 6368 12999 6380 13000 6370 13000 6367 13000 6381 13001 6366 13001 6370 13001 6380 13002 6381 13002 6370 13002 6382 13003 6367 13003 6377 13003 6380 13004 6367 13004 6382 13004 6383 13005 6377 13005 6378 13005 6382 13006 6377 13006 6383 13006 6384 13007 6378 13007 6372 13007 6383 13008 6378 13008 6384 13008 6385 13009 6372 13009 6366 13009 6384 13010 6372 13010 6385 13010 6385 13011 6366 13011 6381 13011 6386 13012 6376 13012 6379 13012 6387 13013 6376 13013 6386 13013 6387 13014 6374 13014 6376 13014 6388 13015 6379 13015 6369 13015 6389 13016 6386 13016 6379 13016 6388 13017 6389 13017 6379 13017 6390 13018 6369 13018 6365 13018 6390 13019 6388 13019 6369 13019 6391 13020 6390 13020 6365 13020 6371 13021 6391 13021 6365 13021 6392 13022 6386 13022 6389 13022 6393 13023 6386 13023 6392 13023 6387 13024 6386 13024 6393 13024 6392 13025 6389 13025 6388 13025 6394 13026 6388 13026 6390 13026 6394 13027 6392 13027 6388 13027 6394 13028 6390 13028 6391 13028 6395 13029 6394 13029 6391 13029 6396 13030 6395 13030 6391 13030 6396 13031 6391 13031 6371 13031 6397 13032 6392 13032 6394 13032 6397 13033 6398 13033 6392 13033 6393 13034 6392 13034 6398 13034 6399 13035 6394 13035 6395 13035 6399 13036 6397 13036 6394 13036 6399 13037 6395 13037 6400 13037 6393 13038 6400 13038 6395 13038 6401 13039 6393 13039 6395 13039 6401 13040 6395 13040 6396 13040 6393 13041 6398 13041 6400 13041 6402 13042 6400 13042 6398 13042 6403 13043 6399 13043 6400 13043 6402 13044 6403 13044 6400 13044 6404 13045 6398 13045 6397 13045 6404 13046 6402 13046 6398 13046 6405 13047 6397 13047 6399 13047 6404 13048 6397 13048 6405 13048 6403 13049 6405 13049 6399 13049 6387 13050 6393 13050 6401 13050 6402 13051 6405 13051 6403 13051 6404 13052 6405 13052 6402 13052 6401 13053 6371 13053 6374 13053 6401 13054 6396 13054 6371 13054 6387 13055 6401 13055 6374 13055 6384 13056 6385 13056 6381 13056 6380 13057 6384 13057 6381 13057 6380 13058 6383 13058 6384 13058 6380 13059 6382 13059 6383 13059 6406 13060 6407 13060 6408 13060 6409 13061 6408 13061 6407 13061 6410 13062 6406 13062 6408 13062 6411 13063 6408 13063 6412 13063 6413 13064 6412 13064 6408 13064 6411 13065 6414 13065 6408 13065 6410 13066 6408 13066 6414 13066 6409 13067 6413 13067 6408 13067 6415 13068 6407 13068 6406 13068 6415 13069 6409 13069 6407 13069 6416 13070 6417 13070 6406 13070 6418 13071 6406 13071 6417 13071 6410 13072 6416 13072 6406 13072 6418 13073 6415 13073 6406 13073 6412 13074 6419 13074 6417 13074 6420 13075 6417 13075 6419 13075 6421 13076 6412 13076 6417 13076 6422 13077 6421 13077 6417 13077 6416 13078 6422 13078 6417 13078 6418 13079 6417 13079 6420 13079 6423 13080 6419 13080 6412 13080 6423 13081 6420 13081 6419 13081 6421 13082 6411 13082 6412 13082 6413 13083 6423 13083 6412 13083 6424 13084 6414 13084 6411 13084 6425 13085 6410 13085 6414 13085 6424 13086 6425 13086 6414 13086 6426 13087 6411 13087 6421 13087 6424 13088 6411 13088 6426 13088 6427 13089 6421 13089 6422 13089 6426 13090 6421 13090 6427 13090 6428 13091 6422 13091 6416 13091 6427 13092 6422 13092 6428 13092 6429 13093 6416 13093 6410 13093 6428 13094 6416 13094 6429 13094 6429 13095 6410 13095 6425 13095 6430 13096 6420 13096 6423 13096 6431 13097 6420 13097 6430 13097 6431 13098 6418 13098 6420 13098 6432 13099 6423 13099 6413 13099 6433 13100 6430 13100 6423 13100 6432 13101 6433 13101 6423 13101 6434 13102 6413 13102 6409 13102 6434 13103 6432 13103 6413 13103 6435 13104 6434 13104 6409 13104 6415 13105 6435 13105 6409 13105 6436 13106 6430 13106 6433 13106 6437 13107 6430 13107 6436 13107 6431 13108 6430 13108 6437 13108 6436 13109 6433 13109 6432 13109 6438 13110 6432 13110 6434 13110 6438 13111 6436 13111 6432 13111 6438 13112 6434 13112 6435 13112 6439 13113 6438 13113 6435 13113 6440 13114 6439 13114 6435 13114 6440 13115 6435 13115 6415 13115 6441 13116 6436 13116 6438 13116 6441 13117 6442 13117 6436 13117 6437 13118 6436 13118 6442 13118 6443 13119 6438 13119 6439 13119 6443 13120 6441 13120 6438 13120 6443 13121 6439 13121 6444 13121 6437 13122 6444 13122 6439 13122 6445 13123 6437 13123 6439 13123 6445 13124 6439 13124 6440 13124 6437 13125 6442 13125 6444 13125 6446 13126 6444 13126 6442 13126 6447 13127 6443 13127 6444 13127 6446 13128 6447 13128 6444 13128 6448 13129 6442 13129 6441 13129 6448 13130 6446 13130 6442 13130 6449 13131 6441 13131 6443 13131 6448 13132 6441 13132 6449 13132 6447 13133 6449 13133 6443 13133 6431 13134 6437 13134 6445 13134 6446 13135 6449 13135 6447 13135 6448 13136 6449 13136 6446 13136 6445 13137 6415 13137 6418 13137 6445 13138 6440 13138 6415 13138 6431 13139 6445 13139 6418 13139 6428 13140 6429 13140 6425 13140 6424 13141 6428 13141 6425 13141 6424 13142 6427 13142 6428 13142 6424 13143 6426 13143 6427 13143 6450 13144 6451 13144 6452 13144 6453 13145 6452 13145 6451 13145 6454 13146 6450 13146 6452 13146 6455 13147 6452 13147 6456 13147 6457 13148 6456 13148 6452 13148 6455 13149 6458 13149 6452 13149 6454 13150 6452 13150 6458 13150 6453 13151 6457 13151 6452 13151 6459 13152 6451 13152 6450 13152 6459 13153 6453 13153 6451 13153 6460 13154 6461 13154 6450 13154 6462 13155 6450 13155 6461 13155 6454 13156 6460 13156 6450 13156 6462 13157 6459 13157 6450 13157 6456 13158 6463 13158 6461 13158 6464 13159 6461 13159 6463 13159 6465 13160 6456 13160 6461 13160 6466 13161 6465 13161 6461 13161 6460 13162 6466 13162 6461 13162 6462 13163 6461 13163 6464 13163 6467 13164 6463 13164 6456 13164 6467 13165 6464 13165 6463 13165 6465 13166 6455 13166 6456 13166 6457 13167 6467 13167 6456 13167 6468 13168 6458 13168 6455 13168 6469 13169 6454 13169 6458 13169 6468 13170 6469 13170 6458 13170 6470 13171 6455 13171 6465 13171 6468 13172 6455 13172 6470 13172 6471 13173 6465 13173 6466 13173 6470 13174 6465 13174 6471 13174 6472 13175 6466 13175 6460 13175 6471 13176 6466 13176 6472 13176 6473 13177 6460 13177 6454 13177 6472 13178 6460 13178 6473 13178 6473 13179 6454 13179 6469 13179 6474 13180 6464 13180 6467 13180 6475 13181 6464 13181 6474 13181 6475 13182 6462 13182 6464 13182 6476 13183 6467 13183 6457 13183 6477 13184 6474 13184 6467 13184 6476 13185 6477 13185 6467 13185 6478 13186 6457 13186 6453 13186 6478 13187 6476 13187 6457 13187 6479 13188 6478 13188 6453 13188 6459 13189 6479 13189 6453 13189 6480 13190 6474 13190 6477 13190 6481 13191 6474 13191 6480 13191 6475 13192 6474 13192 6481 13192 6480 13193 6477 13193 6476 13193 6482 13194 6476 13194 6478 13194 6482 13195 6480 13195 6476 13195 6482 13196 6478 13196 6479 13196 6483 13197 6482 13197 6479 13197 6484 13198 6483 13198 6479 13198 6484 13199 6479 13199 6459 13199 6485 13200 6480 13200 6482 13200 6485 13201 6486 13201 6480 13201 6481 13202 6480 13202 6486 13202 6487 13203 6482 13203 6483 13203 6487 13204 6485 13204 6482 13204 6487 13205 6483 13205 6488 13205 6481 13206 6488 13206 6483 13206 6489 13207 6481 13207 6483 13207 6489 13208 6483 13208 6484 13208 6481 13209 6486 13209 6488 13209 6490 13210 6488 13210 6486 13210 6491 13211 6487 13211 6488 13211 6490 13212 6491 13212 6488 13212 6492 13213 6486 13213 6485 13213 6492 13214 6490 13214 6486 13214 6493 13215 6485 13215 6487 13215 6492 13216 6485 13216 6493 13216 6491 13217 6493 13217 6487 13217 6475 13218 6481 13218 6489 13218 6490 13219 6493 13219 6491 13219 6492 13220 6493 13220 6490 13220 6489 13221 6459 13221 6462 13221 6489 13222 6484 13222 6459 13222 6475 13223 6489 13223 6462 13223 6472 13224 6473 13224 6469 13224 6468 13225 6472 13225 6469 13225 6468 13226 6471 13226 6472 13226 6468 13227 6470 13227 6471 13227 6494 13228 6495 13228 6496 13228 6497 13229 6496 13229 6495 13229 6498 13230 6494 13230 6496 13230 6499 13231 6496 13231 6500 13231 6501 13232 6500 13232 6496 13232 6499 13233 6502 13233 6496 13233 6498 13234 6496 13234 6502 13234 6497 13235 6501 13235 6496 13235 6503 13236 6495 13236 6494 13236 6503 13237 6497 13237 6495 13237 6504 13238 6505 13238 6494 13238 6506 13239 6494 13239 6505 13239 6498 13240 6504 13240 6494 13240 6506 13241 6503 13241 6494 13241 6500 13242 6507 13242 6505 13242 6508 13243 6505 13243 6507 13243 6509 13244 6500 13244 6505 13244 6510 13245 6509 13245 6505 13245 6504 13246 6510 13246 6505 13246 6506 13247 6505 13247 6508 13247 6511 13248 6507 13248 6500 13248 6511 13249 6508 13249 6507 13249 6509 13250 6499 13250 6500 13250 6501 13251 6511 13251 6500 13251 6512 13252 6502 13252 6499 13252 6513 13253 6498 13253 6502 13253 6512 13254 6513 13254 6502 13254 6514 13255 6499 13255 6509 13255 6512 13256 6499 13256 6514 13256 6515 13257 6509 13257 6510 13257 6514 13258 6509 13258 6515 13258 6516 13259 6510 13259 6504 13259 6515 13260 6510 13260 6516 13260 6517 13261 6504 13261 6498 13261 6516 13262 6504 13262 6517 13262 6517 13263 6498 13263 6513 13263 6518 13264 6508 13264 6511 13264 6519 13265 6508 13265 6518 13265 6519 13266 6506 13266 6508 13266 6520 13267 6511 13267 6501 13267 6521 13268 6518 13268 6511 13268 6520 13269 6521 13269 6511 13269 6522 13270 6501 13270 6497 13270 6522 13271 6520 13271 6501 13271 6523 13272 6522 13272 6497 13272 6503 13273 6523 13273 6497 13273 6524 13274 6518 13274 6521 13274 6525 13275 6518 13275 6524 13275 6519 13276 6518 13276 6525 13276 6524 13277 6521 13277 6520 13277 6526 13278 6520 13278 6522 13278 6526 13279 6524 13279 6520 13279 6526 13280 6522 13280 6523 13280 6527 13281 6526 13281 6523 13281 6528 13282 6527 13282 6523 13282 6528 13283 6523 13283 6503 13283 6529 13284 6524 13284 6526 13284 6529 13285 6530 13285 6524 13285 6525 13286 6524 13286 6530 13286 6531 13287 6526 13287 6527 13287 6531 13288 6529 13288 6526 13288 6531 13289 6527 13289 6532 13289 6525 13290 6532 13290 6527 13290 6533 13291 6525 13291 6527 13291 6533 13292 6527 13292 6528 13292 6525 13293 6530 13293 6532 13293 6534 13294 6532 13294 6530 13294 6535 13295 6531 13295 6532 13295 6534 13296 6535 13296 6532 13296 6536 13297 6530 13297 6529 13297 6536 13298 6534 13298 6530 13298 6537 13299 6529 13299 6531 13299 6536 13300 6529 13300 6537 13300 6535 13301 6537 13301 6531 13301 6519 13302 6525 13302 6533 13302 6534 13303 6537 13303 6535 13303 6536 13304 6537 13304 6534 13304 6533 13305 6503 13305 6506 13305 6533 13306 6528 13306 6503 13306 6519 13307 6533 13307 6506 13307 6516 13308 6517 13308 6513 13308 6512 13309 6516 13309 6513 13309 6512 13310 6515 13310 6516 13310 6512 13311 6514 13311 6515 13311 6538 13312 6539 13312 6540 13312 6541 13313 6540 13313 6539 13313 6542 13314 6538 13314 6540 13314 6543 13315 6540 13315 6544 13315 6545 13316 6544 13316 6540 13316 6543 13317 6546 13317 6540 13317 6542 13318 6540 13318 6546 13318 6541 13319 6545 13319 6540 13319 6547 13320 6539 13320 6538 13320 6547 13321 6541 13321 6539 13321 6548 13322 6549 13322 6538 13322 6550 13323 6538 13323 6549 13323 6542 13324 6548 13324 6538 13324 6550 13325 6547 13325 6538 13325 6544 13326 6551 13326 6549 13326 6552 13327 6549 13327 6551 13327 6553 13328 6544 13328 6549 13328 6554 13329 6553 13329 6549 13329 6548 13330 6554 13330 6549 13330 6550 13331 6549 13331 6552 13331 6555 13332 6551 13332 6544 13332 6555 13333 6552 13333 6551 13333 6553 13334 6543 13334 6544 13334 6545 13335 6555 13335 6544 13335 6556 13336 6546 13336 6543 13336 6557 13337 6542 13337 6546 13337 6556 13338 6557 13338 6546 13338 6558 13339 6543 13339 6553 13339 6556 13340 6543 13340 6558 13340 6559 13341 6553 13341 6554 13341 6558 13342 6553 13342 6559 13342 6560 13343 6554 13343 6548 13343 6559 13344 6554 13344 6560 13344 6561 13345 6548 13345 6542 13345 6560 13346 6548 13346 6561 13346 6561 13347 6542 13347 6557 13347 6562 13348 6552 13348 6555 13348 6563 13349 6552 13349 6562 13349 6563 13350 6550 13350 6552 13350 6564 13351 6555 13351 6545 13351 6565 13352 6562 13352 6555 13352 6564 13353 6565 13353 6555 13353 6566 13354 6545 13354 6541 13354 6566 13355 6564 13355 6545 13355 6567 13356 6566 13356 6541 13356 6547 13357 6567 13357 6541 13357 6568 13358 6562 13358 6565 13358 6569 13359 6562 13359 6568 13359 6563 13360 6562 13360 6569 13360 6568 13361 6565 13361 6564 13361 6570 13362 6564 13362 6566 13362 6570 13363 6568 13363 6564 13363 6570 13364 6566 13364 6567 13364 6571 13365 6570 13365 6567 13365 6572 13366 6571 13366 6567 13366 6572 13367 6567 13367 6547 13367 6573 13368 6568 13368 6570 13368 6573 13369 6574 13369 6568 13369 6569 13370 6568 13370 6574 13370 6575 13371 6570 13371 6571 13371 6575 13372 6573 13372 6570 13372 6575 13373 6571 13373 6576 13373 6569 13374 6576 13374 6571 13374 6577 13375 6569 13375 6571 13375 6577 13376 6571 13376 6572 13376 6569 13377 6574 13377 6576 13377 6578 13378 6576 13378 6574 13378 6579 13379 6575 13379 6576 13379 6578 13380 6579 13380 6576 13380 6580 13381 6574 13381 6573 13381 6580 13382 6578 13382 6574 13382 6581 13383 6573 13383 6575 13383 6580 13384 6573 13384 6581 13384 6579 13385 6581 13385 6575 13385 6563 13386 6569 13386 6577 13386 6578 13387 6581 13387 6579 13387 6580 13388 6581 13388 6578 13388 6577 13389 6547 13389 6550 13389 6577 13390 6572 13390 6547 13390 6563 13391 6577 13391 6550 13391 6560 13392 6561 13392 6557 13392 6556 13393 6560 13393 6557 13393 6556 13394 6559 13394 6560 13394 6556 13395 6558 13395 6559 13395 6582 13396 6583 13396 6584 13396 6585 13397 6584 13397 6583 13397 6586 13398 6582 13398 6584 13398 6587 13399 6584 13399 6588 13399 6589 13400 6588 13400 6584 13400 6587 13401 6590 13401 6584 13401 6586 13402 6584 13402 6590 13402 6585 13403 6589 13403 6584 13403 6591 13404 6583 13404 6582 13404 6591 13405 6585 13405 6583 13405 6592 13406 6593 13406 6582 13406 6594 13407 6582 13407 6593 13407 6586 13408 6592 13408 6582 13408 6594 13409 6591 13409 6582 13409 6588 13410 6595 13410 6593 13410 6596 13411 6593 13411 6595 13411 6597 13412 6588 13412 6593 13412 6598 13413 6597 13413 6593 13413 6592 13414 6598 13414 6593 13414 6594 13415 6593 13415 6596 13415 6599 13416 6595 13416 6588 13416 6599 13417 6596 13417 6595 13417 6597 13418 6587 13418 6588 13418 6589 13419 6599 13419 6588 13419 6600 13420 6590 13420 6587 13420 6601 13421 6586 13421 6590 13421 6600 13422 6601 13422 6590 13422 6602 13423 6587 13423 6597 13423 6600 13424 6587 13424 6602 13424 6603 13425 6597 13425 6598 13425 6602 13426 6597 13426 6603 13426 6604 13427 6598 13427 6592 13427 6603 13428 6598 13428 6604 13428 6605 13429 6592 13429 6586 13429 6604 13430 6592 13430 6605 13430 6605 13431 6586 13431 6601 13431 6606 13432 6596 13432 6599 13432 6607 13433 6596 13433 6606 13433 6607 13434 6594 13434 6596 13434 6608 13435 6599 13435 6589 13435 6609 13436 6606 13436 6599 13436 6608 13437 6609 13437 6599 13437 6610 13438 6589 13438 6585 13438 6610 13439 6608 13439 6589 13439 6611 13440 6610 13440 6585 13440 6591 13441 6611 13441 6585 13441 6612 13442 6606 13442 6609 13442 6613 13443 6606 13443 6612 13443 6607 13444 6606 13444 6613 13444 6612 13445 6609 13445 6608 13445 6614 13446 6608 13446 6610 13446 6614 13447 6612 13447 6608 13447 6614 13448 6610 13448 6611 13448 6615 13449 6614 13449 6611 13449 6616 13450 6615 13450 6611 13450 6616 13451 6611 13451 6591 13451 6617 13452 6612 13452 6614 13452 6617 13453 6618 13453 6612 13453 6613 13454 6612 13454 6618 13454 6619 13455 6614 13455 6615 13455 6619 13456 6617 13456 6614 13456 6619 13457 6615 13457 6620 13457 6613 13458 6620 13458 6615 13458 6621 13459 6613 13459 6615 13459 6621 13460 6615 13460 6616 13460 6613 13461 6618 13461 6620 13461 6622 13462 6620 13462 6618 13462 6623 13463 6619 13463 6620 13463 6622 13464 6623 13464 6620 13464 6624 13465 6618 13465 6617 13465 6624 13466 6622 13466 6618 13466 6625 13467 6617 13467 6619 13467 6624 13468 6617 13468 6625 13468 6623 13469 6625 13469 6619 13469 6607 13470 6613 13470 6621 13470 6622 13471 6625 13471 6623 13471 6624 13472 6625 13472 6622 13472 6621 13473 6591 13473 6594 13473 6621 13474 6616 13474 6591 13474 6607 13475 6621 13475 6594 13475 6604 13476 6605 13476 6601 13476 6600 13477 6604 13477 6601 13477 6600 13478 6603 13478 6604 13478 6600 13479 6602 13479 6603 13479</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="shoulder_fe" name="shoulder_fe" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#shoulder_fe-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyA/meshes/wrist_fe.dae b/ct_models/urdf/HyA/meshes/wrist_fe.dae
new file mode 100644
index 0000000..966423e
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/wrist_fe.dae
@@ -0,0 +1,140 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T10:12:41</created>
+ <modified>2015-04-23T10:12:41</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ <effect id="black-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.31 0.31 0.31 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ <material id="black-material" name="black">
+ <instance_effect url="#black-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="wrist_fe-mesh" name="wrist_fe">
+ <mesh>
+ <source id="wrist_fe-mesh-positions">
+ <float_array id="wrist_fe-mesh-positions-array" count="4386">18.25 23.99999 -27.75 20 37 -27.75 20 -16 -27.75 20 37 -34.25 -6.044943 -14.81388 -27.75 -11.19543 -11.43062 -27.75 0 -11.25 -27.75 0 -16 -27.75 19.99942 -16 -21.96422 17.83232 20.82949 -27.75 16.60877 17.87493 -27.75 14.6618 15.33806 -27.75 12.12485 13.3911 -27.75 9.170244 12.16761 -27.75 9.742754 5.625054 -27.75 11.25 -7.31709e-6 -27.75 9.742749 -5.625067 -27.75 5.624866 -9.742864 -27.75 22 -16 -18.5 20 -16 -34.25 21.46422 -16 -20.49942 9.170253 35.83239 -27.75 6 37 -27.75 6 37 -22.5 12.12486 34.60889 -27.75 14.66181 32.66193 -27.75 16.60877 30.12506 -27.75 17.83233 27.1705 -27.75 18 37 -22.5 29 37 -34.25 6 36.25 -27.75 0.9214375 35.96673 -27.75 -0.1248497 34.6089 -27.75 -3.351675 33.02999 -27.75 0.9201446 35.96628 -22.5 2.829757 35.83239 -27.75 -4.608768 30.12508 -27.75 -6.136422 28.65911 -27.75 -3.350788 33.03103 -22.5 -2.661803 32.66194 -27.75 -6.25 24.00001 -27.75 -14.93713 5.734283 -27.75 -14.93713 5.734283 -22.5 -5.832322 27.17051 -27.75 -6.136422 28.65911 -22.5 -11.25 7.31709e-6 -27.75 -15.99627 -0.3341943 -27.75 -5.624866 9.742864 -27.75 -9.742749 5.625067 -27.75 -9.742754 -5.625054 -27.75 -14.68365 -6.355081 -27.75 -15.99627 -0.3341943 -22.5 -5.62488 -9.742856 -27.75 -14.68365 -6.355081 -22.5 -11.19543 -11.43062 -22.5 -6.044943 -14.81388 -22.5 18 -16 -22.5 0 -16 -22.5 6 36 -27.5 2.894387 35.59117 -27.5 9.105625 35.59116 -27.5 11.99987 34.39238 -27.5 14.48522 32.48534 -27.5 16.39227 30.00006 -27.5 17.5911 27.10586 -27.5 18 24 -27.5 17.5911 20.89413 -27.5 16.39226 17.99993 -27.5 14.48522 15.51465 -27.5 11.99985 13.60761 -27.5 6 11.75 -27.75 9.105614 12.40883 -27.5 0 11.25 -27.75 2.829747 12.16761 -27.75 6 12 -27.5 5.62488 9.742856 -27.75 -0.1248638 13.39111 -27.75 2.894377 12.40884 -27.5 -2.661813 15.33807 -27.75 1.3425e-4 13.60762 -27.5 -4.608775 17.87494 -27.75 -2.485225 15.51466 -27.5 -5.832326 20.8295 -27.75 -4.392269 17.99994 -27.5 -5.591102 20.89414 -27.5 -6 24.00001 -27.5 -5.591098 27.10587 -27.5 -4.392263 30.00007 -27.5 -2.485216 32.48535 -27.5 1.46681e-4 34.39239 -27.5 0 11 -27.5 -5.499706 9.526451 -27.5 9.526173 5.500185 -27.5 5.499715 9.526445 -27.5 11 -3.16835e-6 -27.5 9.52617 -5.50019 -27.5 5.499706 -9.526451 -27.5 0 -11 -27.5 -9.526173 -5.500185 -27.5 -5.499715 -9.526445 -27.5 -11 3.16835e-6 -27.5 -9.52617 5.50019 -27.5 9.742749 -5.625067 27.75 0 -16 27.75 20 -16 27.75 0 -16 22.5 17.83232 20.82949 27.75 20 37 27.75 20 -16 34.25 18 -16 22.5 29 -16 34.25 5.624866 -9.742864 27.75 -6.044943 -14.81388 27.75 0 -11.25 27.75 -11.19543 -11.43062 27.75 -6.044943 -14.81388 22.5 -5.62488 -9.742856 27.75 -14.68365 -6.355081 27.75 -11.19543 -11.43062 22.5 -9.742754 -5.625054 27.75 -15.99627 -0.3341943 27.75 -14.68365 -6.355081 22.5 -9.742749 5.625067 27.75 -14.93713 5.734283 27.75 -15.99627 -0.3341943 22.5 -11.25 7.31709e-6 27.75 -5.832322 27.17051 27.75 -6.136422 28.65911 27.75 -6.136422 28.65911 22.5 -5.624866 9.742864 27.75 -0.1248638 13.39111 27.75 -6.25 24.00001 27.75 -5.832326 20.8295 27.75 -4.608775 17.87494 27.75 -2.661813 15.33807 27.75 -14.93713 5.734283 22.5 -2.661803 32.66194 27.75 -3.351675 33.02999 27.75 -4.608768 30.12508 27.75 -0.1248497 34.6089 27.75 0.9214375 35.96673 27.75 -3.350788 33.03103 22.5 6 36.25 27.75 6 37 27.75 0.9201446 35.96628 22.5 2.829757 35.83239 27.75 19.99942 37 21.96422 18 37 22.5 6 37 22.5 18.25 23.99999 27.75 17.83233 27.1705 27.75 16.60877 30.12506 27.75 14.66181 32.66193 27.75 12.12486 34.60889 27.75 9.170253 35.83239 27.75 20 37 34.25 22 37 18.5 21.46422 37 20.49942 0 -11 27.5 -5.499715 -9.526445 27.5 9.52617 -5.50019 27.5 5.499706 -9.526451 27.5 11.25 -7.31709e-6 27.75 16.60877 17.87493 27.75 9.742754 5.625054 27.75 11 -3.16835e-6 27.5 12.12485 13.3911 27.75 5.62488 9.742856 27.75 9.526173 5.500185 27.5 14.6618 15.33806 27.75 6 11.75 27.75 0 11.25 27.75 5.499715 9.526445 27.5 9.170244 12.16761 27.75 2.829747 12.16761 27.75 0 11 27.5 -9.52617 5.50019 27.5 -5.499706 9.526451 27.5 -11 3.16835e-6 27.5 -9.526173 -5.500185 27.5 6 12 27.5 2.894377 12.40884 27.5 9.105614 12.40883 27.5 11.99985 13.60761 27.5 14.48522 15.51465 27.5 16.39226 17.99993 27.5 17.5911 20.89413 27.5 18 24 27.5 17.5911 27.10586 27.5 16.39227 30.00006 27.5 14.48522 32.48534 27.5 11.99987 34.39238 27.5 9.105625 35.59116 27.5 6 36 27.5 2.894387 35.59117 27.5 1.46681e-4 34.39239 27.5 -2.485216 32.48535 27.5 -4.392263 30.00007 27.5 -5.591098 27.10587 27.5 -6 24.00001 27.5 -5.591102 20.89414 27.5 -4.392269 17.99994 27.5 -2.485225 15.51466 27.5 1.3425e-4 13.60762 27.5 29 -16 -34.25 29 -14 -36.25 20 35 -36.25 20 -14 -36.25 9.001363 4.176549 -22.5 0.8836833 -9.883685 -22.5 5.056509 -3.673448 -22.5 14.01073 19.375 -22.5 19.99942 37 -21.96422 21.46422 37 -20.49942 22 -16 18.5 22 6.94088 2.586838 22 37 -18.5 22 11.85922 -4.184544 22 6.1 0 22 6.94088 -2.586838 22 9.140781 -4.184544 21.46422 -16 20.49942 22 9.140781 4.184544 19.99942 -16 21.96422 14.13534 20.32345 22.5 0 -10.25 22.5 4.068539 18.05593 22.5 7.931464 18.05593 22.5 13.25165 18.79287 22.5 8.876762 5.125 22.5 5.056509 -3.673448 22.5 6.25 0 22.5 7.470778 3.292866 22.5 1.931464 -5.944068 22.5 -1.931461 -5.944069 22.5 0.8836833 -8.116317 22.5 1.25 -9 22.5 0.8836833 -9.883685 22.5 8.419229 3.417468 22.5 9.001363 4.176549 22.5 14.01073 19.375 22.5 20 -14 36.25 31 -14 34.25 30 -15 35.25 29 -14 36.25 31 -14 -34.25 30 -15 -35.25 29 37 34.25 31 35 -34.25 30 36 -35.25 29 35 -36.25 29 35 36.25 31 35 34.25 30 36 35.25 20 35 36.25 11.05651 27.67345 22.5 6.883683 32.88368 22.5 22 14.05912 -2.586838 22 11.85922 4.184544 22 14.05912 2.586838 22 14.9 0 6 33.25 -22.5 11.05651 27.67345 -22.5 12.25 24 -22.5 12.60475 21.20713 -22.5 7.931461 29.94407 -22.5 6.883683 31.11632 -22.5 7.25 32 -22.5 6.883683 32.88368 -22.5 13.5532 21.08253 -22.5 14.13534 20.32345 -22.5 5.116317 32.88368 -22.5 0.9434913 27.67345 -22.5 4.068536 29.94407 -22.5 6 30.75 -22.5 5.116317 31.11632 -22.5 4.75 32 -22.5 4.068536 29.94407 22.5 -1.931464 5.944068 22.5 0.9434913 27.67345 22.5 -0.25 24 22.5 -0.6047527 21.20713 22.5 1.931461 5.944069 22.5 -2.010735 19.375 22.5 -2.135337 20.32345 22.5 -1.553203 21.08253 22.5 6 33.25 22.5 7.931461 29.94407 22.5 6 30.75 22.5 5.116317 32.88368 22.5 4.75 32 22.5 5.116317 31.11632 22.5 -8.876762 5.125 -22.5 7.931464 18.05593 -22.5 -1.931464 5.944068 -22.5 -8.11768 5.707134 -22.5 -0.25 24 -22.5 -1.553203 21.08253 -22.5 4.068539 18.05593 -22.5 -1.251654 18.79287 -22.5 -2.135337 20.32345 -22.5 -2.010735 19.375 -22.5 -6.25 0 22.5 -8.419229 3.417468 22.5 -8.11768 5.707134 22.5 -9.001363 4.176549 22.5 -8.876762 5.125 22.5 -5.056506 -3.673451 -22.5 -6.25 0 -22.5 -7.470778 3.292866 -22.5 -9.001363 4.176549 -22.5 -8.419229 3.417468 -22.5 0 -7.75 -22.5 -1.931461 -5.944069 -22.5 1.931464 -5.944068 -22.5 0 -10.25 -22.5 -0.8836833 -9.883685 -22.5 -1.25 -9 -22.5 -0.8836833 -8.116317 -22.5 0 -7.75 22.5 -0.8836833 -8.116317 22.5 -1.25 -9 22.5 -0.8836833 -9.883685 22.5 -5.056506 -3.673451 22.5 4.854249 3.52651 24.5 6 0 22.75 6 0 24.5 4.85425 -3.526507 22.75 5.056506 3.673451 24.75 4.85425 -3.526507 24.5 6.25 0 24.75 4.854249 3.52651 22.75 1.854204 5.706306 24.5 1.854204 5.706306 22.75 5.056506 3.673451 22.5 -1.854206 5.706305 24.5 -1.854206 5.706305 22.75 -4.85425 3.526507 24.5 -4.85425 3.526507 22.75 -6 0 24.5 -6 0 22.75 -5.056509 3.673448 22.5 -4.854249 -3.52651 24.5 -4.854249 -3.52651 22.75 -6.25 0 24.75 -5.056506 -3.673451 24.75 -5.056509 3.673448 24.75 -1.931464 5.944068 24.75 1.931461 5.944069 24.75 -4.85425 3.526507 -24.5 -6 0 -22.75 -6 0 -24.5 -4.854249 -3.52651 -22.75 -5.056509 3.673448 -24.75 -4.854249 -3.52651 -24.5 -6.25 0 -24.75 -4.85425 3.526507 -22.75 -1.854206 5.706305 -24.5 -1.854206 5.706305 -22.75 -5.056509 3.673448 -22.5 1.854204 5.706306 -24.5 1.854204 5.706306 -22.75 4.854249 3.52651 -24.5 4.854249 3.52651 -22.75 1.931461 5.944069 -22.5 6 0 -24.5 6 0 -22.75 5.056506 3.673451 -22.5 4.85425 -3.526507 -24.5 4.85425 -3.526507 -22.75 6.25 0 -22.5 6.25 0 -24.75 5.056509 -3.673448 -24.75 5.056506 3.673451 -24.75 1.931461 5.944069 -24.75 -1.931464 5.944068 -24.75 -1.854204 -5.706306 24.5 -1.854204 -5.706306 22.75 1.854206 -5.706305 24.5 1.854206 -5.706305 22.75 5.056509 -3.673448 24.75 1.931464 -5.944068 24.75 -1.931461 -5.944069 24.75 1.854206 -5.706305 -24.5 1.854206 -5.706305 -22.75 -1.854204 -5.706306 -24.5 -1.854204 -5.706306 -22.75 -5.056506 -3.673451 -24.75 -1.931461 -5.944069 -24.75 1.931464 -5.944068 -24.75 10.85425 27.52651 24.25 12 24 22.75 12 24 24.25 10.85425 20.47349 22.75 11.05651 27.67345 24.5 10.85425 20.47349 24.25 12.25 24 24.5 10.85425 27.52651 22.75 12.25 24 22.5 11.05651 20.32655 22.5 7.854204 29.70631 24.25 7.854204 29.70631 22.75 4.145794 29.70631 24.25 4.145794 29.70631 22.75 1.14575 27.52651 24.25 1.14575 27.52651 22.75 0 24 24.25 0 24 22.75 1.145751 20.47349 24.25 1.145751 20.47349 22.75 -0.25 24 24.5 0.9434939 20.32655 24.5 0.9434913 27.67345 24.5 4.068536 29.94407 24.5 7.931461 29.94407 24.5 1.14575 27.52651 -24.25 0 24 -22.75 0 24 -24.25 1.145751 20.47349 -22.75 0.9434913 27.67345 -24.5 1.145751 20.47349 -24.25 -0.25 24 -24.5 1.14575 27.52651 -22.75 0.9434939 20.32655 -22.5 4.145794 29.70631 -24.25 4.145794 29.70631 -22.75 7.854204 29.70631 -24.25 7.854204 29.70631 -22.75 10.85425 27.52651 -24.25 10.85425 27.52651 -22.75 12 24 -24.25 12 24 -22.75 10.85425 20.47349 -24.25 10.85425 20.47349 -22.75 12.25 24 -24.5 11.05651 20.32655 -24.5 11.05651 27.67345 -24.5 7.931461 29.94407 -24.5 4.068536 29.94407 -24.5 4.145796 18.29369 24.25 4.145796 18.29369 22.75 0.9434939 20.32655 22.5 7.854206 18.2937 24.25 7.854206 18.2937 22.75 11.05651 20.32655 24.5 7.931464 18.05593 24.5 4.068539 18.05593 24.5 7.854206 18.2937 -24.25 7.854206 18.2937 -22.75 11.05651 20.32655 -22.5 4.145796 18.29369 -24.25 4.145796 18.29369 -22.75 0.9434939 20.32655 -24.5 4.068539 18.05593 -24.5 7.931464 18.05593 -24.5 12 34.3923 24.5 6 36 24.5 6 33.25 24.5 0 34.3923 24.5 7.25 32 24.5 6.883683 32.88368 24.5 16.39231 18 24.5 16.39231 30 24.5 14.13534 20.32345 24.5 12.60475 21.20713 24.5 13.5532 21.08253 24.5 18 24 24.5 12.3032 18.91747 24.5 12 13.6077 24.5 13.25165 18.79287 24.5 14.01073 19.375 24.5 6 12 24.5 11.72107 19.67655 24.5 0.2789307 19.67655 24.5 0 13.6077 24.5 -2.010735 19.375 24.5 -4.392305 18 24.5 -0.3032032 18.91747 24.5 -1.251654 18.79287 24.5 -4.392305 30 24.5 -6 24 24.5 -0.6047527 21.20713 24.5 -1.553203 21.08253 24.5 -2.135337 20.32345 24.5 4.75 32 24.5 5.116317 32.88368 24.5 11.84567 20.625 24.5 5.116317 31.11632 24.5 6 30.75 24.5 6.883683 31.11632 24.5 0.1543285 20.625 24.5 6.883683 31.11632 22.5 7.25 32 22.5 13.5532 21.08253 22.5 12.60475 21.20713 22.5 11.84567 20.625 22.5 11.72107 19.67655 22.5 12.3032 18.91747 22.5 -0.3032032 18.91747 22.5 -1.251654 18.79287 22.5 0.2789307 19.67655 22.5 0.1543285 20.625 22.5 5.500883 9.525665 24.75 0 11 24.75 -5.500883 9.525665 24.75 8.876762 5.125 24.75 9.526506 5.499137 24.75 6.587095 4.823451 24.75 8.11768 5.707134 24.75 7.169229 5.582532 24.75 9.526506 -5.499137 24.75 10.9997 0 24.75 9.001363 4.176549 24.75 5.500883 -9.525665 24.75 6.711697 3.875 24.75 8.419229 3.417468 24.75 7.470778 3.292866 24.75 0 -10.25 24.75 0 -11 24.75 1.25 -9 24.75 0.8836833 -9.883685 24.75 -0.8836833 -9.883685 24.75 -5.500883 -9.525665 24.75 -9.526506 5.499137 24.75 -9.526506 -5.499137 24.75 -9.001363 4.176549 24.75 -6.711697 3.875 24.75 -8.419229 3.417468 24.75 -7.470778 3.292866 24.75 -10.9997 0 24.75 -8.11768 5.707134 24.75 -8.876762 5.125 24.75 -6.587095 4.823451 24.75 -7.169229 5.582532 24.75 -1.25 -9 24.75 0.8836833 -8.116317 24.75 -0.8836833 -8.116317 24.75 0 -7.75 24.75 8.11768 5.707134 22.5 7.169229 5.582532 22.5 6.587095 4.823451 22.5 6.711697 3.875 22.5 -7.169229 5.582532 22.5 -6.587095 4.823451 22.5 -7.470778 3.292866 22.5 -6.711697 3.875 22.5 0 34.3923 -24.5 6 36 -24.5 6 33.25 -24.5 12 34.3923 -24.5 4.75 32 -24.5 5.116317 32.88368 -24.5 -4.392305 18 -24.5 -4.392305 30 -24.5 -2.135337 20.32345 -24.5 -0.6047527 21.20713 -24.5 -1.553203 21.08253 -24.5 -6 24 -24.5 -0.3032032 18.91747 -24.5 0 13.6077 -24.5 -1.251654 18.79287 -24.5 -2.010735 19.375 -24.5 6 12 -24.5 0.2789307 19.67655 -24.5 11.72107 19.67655 -24.5 12 13.6077 -24.5 14.01073 19.375 -24.5 16.39231 18 -24.5 13.25165 18.79287 -24.5 12.3032 18.91747 -24.5 16.39231 30 -24.5 18 24 -24.5 12.60475 21.20713 -24.5 14.13534 20.32345 -24.5 13.5532 21.08253 -24.5 7.25 32 -24.5 6.883683 32.88368 -24.5 0.1543285 20.625 -24.5 6.883683 31.11632 -24.5 5.116317 31.11632 -24.5 6 30.75 -24.5 11.84567 20.625 -24.5 13.25165 18.79287 -22.5 12.3032 18.91747 -22.5 11.72107 19.67655 -22.5 11.84567 20.625 -22.5 -0.3032032 18.91747 -22.5 0.2789307 19.67655 -22.5 -0.6047527 21.20713 -22.5 0.1543285 20.625 -22.5 -5.500883 9.525665 -24.75 0 11 -24.75 5.500883 9.525665 -24.75 -8.876762 5.125 -24.75 -9.526506 5.499137 -24.75 -6.587095 4.823451 -24.75 -7.169229 5.582532 -24.75 -8.11768 5.707134 -24.75 -9.526506 -5.499137 -24.75 -10.9997 0 -24.75 -9.001363 4.176549 -24.75 -5.500883 -9.525665 -24.75 -6.711697 3.875 -24.75 -7.470778 3.292866 -24.75 -8.419229 3.417468 -24.75 0 -10.25 -24.75 0 -11 -24.75 -1.25 -9 -24.75 -0.8836833 -9.883685 -24.75 0.8836833 -9.883685 -24.75 5.500883 -9.525665 -24.75 9.526506 5.499137 -24.75 9.526506 -5.499137 -24.75 9.001363 4.176549 -24.75 6.711697 3.875 -24.75 7.470778 3.292866 -24.75 8.419229 3.417468 -24.75 10.9997 0 -24.75 8.11768 5.707134 -24.75 8.876762 5.125 -24.75 6.587095 4.823451 -24.75 7.169229 5.582532 -24.75 1.25 -9 -24.75 -0.8836833 -8.116317 -24.75 0 -7.75 -24.75 0.8836833 -8.116317 -24.75 0.8836833 -8.116317 -22.5 1.25 -9 -22.5 8.419229 3.417468 -22.5 7.470778 3.292866 -22.5 6.711697 3.875 -22.5 6.587095 4.823451 -22.5 7.169229 5.582532 -22.5 8.11768 5.707134 -22.5 8.876762 5.125 -22.5 -7.169229 5.582532 -22.5 -6.587095 4.823451 -22.5 -6.711697 3.875 -22.5 31 6.1 0 31 6.94088 -2.586838 31 6.94088 2.586838 31 9.140781 4.184544 31 11.85922 4.184544 31 14.05912 2.586838 31 14.9 0 31 14.05912 -2.586838 31 11.85922 -4.184544 31 9.140781 -4.184544 31 -6.134424 -13.40807 31 9.333539 -13.66646 31 8.850002 -12.5 23 8.850002 -12.5 31 3.410743 -11.74203 31 9.333539 -11.33354 23 9.333274 -11.33327 31 -4.99457 -13.95137 31 10.5 -14.15 23 9.333274 -13.66673 31 25.99457 -13.95137 31 11.66646 -13.66646 23 10.5 -14.15 31 -4.573393 -15.14177 31 27.13442 -13.40807 31 12.15 -12.5 23 11.66673 -13.66673 31 17.58926 -11.74203 31 11.66646 -11.33354 23 12.15 -12.5 31 16.51244 -11.08256 31 10.5 -10.85 23 11.66673 -11.33327 31 4.487562 -11.08256 23 10.5 -10.85 31 16.218 -9.854656 23 16.51244 -11.08256 23 16.21763 -9.854597 31 18.81716 -11.44759 23 17.5892 -11.7424 31 23.95745 -4.372591 31 19.47663 -10.37077 23 18.81716 -11.44759 31 23.13712 -5.33254 31 19.18219 -9.142868 23 19.477 -10.37083 31 18.10537 -8.483396 23 19.18219 -9.142868 31 4.12253 -8.777834 31 16.87747 -8.777834 23 18.10543 -8.483028 31 2.894626 -8.483396 31 4.782001 -9.854656 23 16.87747 -8.777834 31 21.87833 -5.431956 23 21.87833 -5.431956 31 -0.8783285 -5.431956 31 20.91838 -4.611627 23 20.91805 -4.611797 23 23.13729 -5.332873 31 23.85803 -3.113798 23 23.95745 -4.372591 31 22.89809 -2.293469 23 23.85837 -3.113628 31 21.63929 -2.392884 23 22.89809 -2.293469 31 23.85803 3.113798 31 22.89809 2.293469 31 20.81896 -3.352834 23 21.63912 -2.392552 23 20.81896 -3.352834 31 0.0816214 -4.611627 23 22.89809 2.293469 31 21.63929 2.392884 23 21.63912 2.392552 31 23.95745 4.372591 23 23.85837 3.113628 31 23.13712 5.33254 23 23.95745 4.372591 31 21.87833 5.431956 23 23.13729 5.332873 31 0.0816214 4.611627 31 20.91838 4.611627 23 21.87833 5.431956 31 18.10537 8.483396 31 19.18219 9.142868 31 29.46844 23.30067 31 25.06005 17.23304 31 -0.8783285 5.431956 31 20.81896 3.352834 23 20.91805 4.611797 23 20.81896 3.352834 31 19.47663 10.37077 23 19.18219 9.142868 23 18.10543 8.483028 31 18.81716 11.44759 23 19.477 10.37083 31 17.58926 11.74203 23 18.81716 11.44759 31 11.66646 11.33354 31 16.51244 11.08256 23 17.5892 11.7424 31 12.15 12.5 31 23.98323 16.57357 31 4.782001 9.854656 31 16.218 9.854656 23 16.51244 11.08256 31 10.5 10.85 31 4.12253 8.777834 31 16.87747 8.777834 23 16.21763 9.854597 31 2.894626 8.483396 23 16.87747 8.777834 31 -2.137121 5.33254 31 11.66646 13.66646 23 12.15 12.5 23 11.66673 11.33327 31 10.5 14.15 23 11.66673 13.66673 31 2.182839 11.44759 31 9.333539 13.66646 23 10.5 14.15 31 -2.983227 16.57357 31 3.410743 11.74203 31 8.850002 12.5 23 9.333274 13.66673 31 9.333539 11.33354 23 8.850002 12.5 31 4.487562 11.08256 23 9.333274 11.33327 23 10.5 10.85 23 4.487562 11.08256 23 4.78237 9.854597 23 3.410801 11.7424 31 -2.95745 4.372591 31 1.523368 10.37077 23 2.182839 11.44759 31 1.817806 9.142868 23 1.522999 10.37083 23 1.817806 9.142868 23 2.894567 8.483028 23 4.12253 8.777834 23 -0.8783285 5.431956 23 0.0819543 4.611797 23 -2.137291 5.332873 31 -2.858034 3.113798 23 -2.95745 4.372591 31 -7.868124 -14.9691 31 -1.898084 2.293469 23 -2.858367 3.113628 31 -0.6392918 2.392884 23 -1.898084 2.293469 31 -2.858034 -3.113798 31 -1.898084 -2.293469 31 0.1810368 3.352834 23 -0.6391221 2.392552 23 0.1810368 3.352834 23 -1.898084 -2.293469 31 -0.6392918 -2.392884 23 -0.6391221 -2.392552 31 -2.95745 -4.372591 23 -2.858367 -3.113628 31 -7.324824 -13.82925 31 -2.137121 -5.33254 23 -2.95745 -4.372591 23 -2.137291 -5.332873 23 -0.8783285 -5.431956 31 0.1810368 -3.352834 23 0.0819543 -4.611797 23 0.1810368 -3.352834 31 1.523368 -10.37077 31 1.817806 -9.142868 23 1.817806 -9.142868 23 2.894567 -8.483028 31 2.182839 -11.44759 23 1.522999 -10.37083 23 2.182839 -11.44759 23 3.410801 -11.7424 23 4.487562 -11.08256 23 4.78237 -9.854597 23 4.12253 -8.777834 31 -6.163712 -22.93563 31 9.333539 -23.66646 31 8.850002 -22.5 23 8.850002 -22.5 31 1.939599 -22.09483 31 9.333539 -21.33354 23 9.333274 -21.33327 31 -7.391616 -22.64119 31 -5.504241 -24.01245 31 10.5 -24.15 23 9.333274 -23.66673 31 26.50424 -24.01245 31 11.66646 -23.66646 23 10.5 -24.15 31 -5.798679 -25.24036 31 28.39162 -22.64119 31 12.15 -22.5 23 11.66673 -23.66673 31 27.16371 -22.93563 31 19.0604 -22.09483 31 11.66646 -21.33354 23 12.15 -22.5 31 20.32269 -22.06212 31 18.14422 -21.22589 31 10.5 -20.85 23 11.66673 -21.33327 31 2.855776 -21.22589 23 10.5 -20.85 31 18.11152 -19.9636 23 18.14422 -21.22589 23 18.11117 -19.96347 23 19.06027 -22.09518 31 28.44695 -16.1595 31 21.19163 -21.14595 23 20.32269 -22.06212 31 21.15892 -19.88366 23 21.19198 -21.14608 31 27.30709 -16.70281 31 20.24275 -19.01471 23 21.15892 -19.88366 31 2.019541 -19.04742 31 18.98046 -19.04742 23 20.24288 -19.01436 31 0.7572523 -19.01471 31 2.888484 -19.9636 23 18.98046 -19.04742 31 -6.307093 -16.70281 31 26.11669 -16.28163 23 26.11669 -16.28163 31 -5.116693 -16.28163 31 25.57339 -15.14177 23 25.57302 -15.14179 23 27.30711 -16.70318 31 28.86812 -14.9691 23 28.44695 -16.1595 31 28.32482 -13.82925 23 28.8685 -14.96908 23 28.32482 -13.82925 23 27.13441 -13.4077 23 25.99457 -13.95137 31 25.35449 18.46094 23 25.06005 17.23304 23 23.98329 16.5732 31 24.69501 19.53776 23 25.35486 18.461 31 28.39162 22.64119 31 23.46711 19.8322 23 24.69501 19.53776 31 -1.39029 19.17273 31 22.39029 19.17273 23 23.46705 19.83257 31 -2.46711 19.8322 31 14.83496 20.39438 31 -1.095851 17.94482 31 22.09585 17.94482 23 22.39029 19.17273 31 -1.755322 16.868 31 22.75532 16.868 23 22.09548 17.94477 23 22.75532 16.868 31 16.56151 22.90677 31 16.79196 21.66527 23 16.79196 21.66527 31 16.07646 20.62483 23 16.07667 20.62451 31 27.16371 22.93563 31 15.52107 23.62227 23 16.56182 22.90698 31 6.720438 23.39181 31 14.27956 23.39181 23 15.52107 23.62227 31 5.478933 23.62227 31 26.50424 24.01245 31 7.435931 22.35138 31 13.56407 22.35138 23 14.27936 23.39213 31 7.20548 21.10987 31 13.79452 21.10987 23 13.56407 22.35138 31 6.165041 20.39438 23 13.79421 21.10967 23 14.83496 20.39438 23 7.435931 22.35138 23 7.205793 21.10967 23 6.720641 23.39213 31 -6.163712 22.93563 31 4.438494 22.90677 23 5.478933 23.62227 31 -5.504241 24.01245 31 -7.391616 22.64119 31 4.208044 21.66527 23 4.43818 22.90698 31 4.923536 20.62483 23 4.208044 21.66527 31 -3.695014 19.53776 23 4.923333 20.62451 23 6.165041 20.39438 23 -1.39029 19.17273 23 -1.095482 17.94477 23 -2.467051 19.83257 31 -4.354485 18.46094 23 -3.695014 19.53776 31 -4.060046 17.23304 23 -4.354854 18.461 23 -4.060046 17.23304 23 -2.983285 16.5732 23 -1.755322 16.868 23 -7.324824 -13.82925 23 -6.134404 -13.4077 31 -7.446948 -16.1595 23 -7.868497 -14.96908 23 -7.446948 -16.1595 23 -6.307113 -16.70318 31 -8.468437 -23.30067 23 -5.116693 -16.28163 23 -4.57302 -15.14179 23 -4.99457 -13.95137 31 -0.1916334 -21.14595 31 -0.1589245 -19.88366 23 -0.1589245 -19.88366 23 0.7571184 -19.01436 31 0.6773101 -22.06212 23 -0.1919822 -21.14608 23 0.6773101 -22.06212 23 1.939733 -22.09518 23 2.855776 -21.22589 23 2.888833 -19.96347 23 2.019541 -19.04742 31 0.7196121 -30.10094 31 9.333539 -31.16646 31 8.850002 -30 23 8.850002 -30 31 2.798733 -29.04158 31 9.333539 -28.83354 23 9.333274 -28.83327 31 1.978405 -30.00152 31 10.5 -31.65 23 9.333274 -31.16673 31 20.28039 -30.10094 31 11.66646 -31.16646 23 10.5 -31.65 31 19.0216 -30.00152 31 12.15 -30 23 11.66673 -31.16673 31 18.20127 -29.04158 31 11.66646 -28.83354 23 12.15 -30 31 18.30068 -27.78278 31 10.5 -28.35 23 11.66673 -28.83327 23 10.5 -28.35 31 2.699318 -27.78278 23 18.20127 -29.04158 23 18.30035 -27.78261 23 19.02143 -30.00186 31 29.1034 -25.60539 31 21.24034 -29.28061 23 20.28039 -30.10094 31 21.33975 -28.02182 23 21.24067 -29.28078 31 27.8755 -25.89983 31 20.51943 -27.06187 23 21.33975 -28.02182 31 19.26063 -26.96245 23 20.51959 -27.06154 23 19.26063 -26.96245 31 1.739368 -26.96245 31 -6.875499 -25.89983 31 26.79868 -25.24036 23 26.79868 -25.24036 23 26.50387 -24.01239 23 27.87544 -25.9002 31 29.76288 -24.52857 23 29.1034 -25.60539 31 29.46844 -23.30067 23 29.76324 -24.52863 23 29.46844 -23.30067 23 28.39167 -22.64082 23 27.16371 -22.93563 31 29.76288 24.52857 23 29.46844 23.30067 23 28.39167 22.64082 31 29.1034 25.60539 23 29.76324 24.52863 31 27.8755 25.89983 23 29.1034 25.60539 31 -5.798679 25.24036 31 26.79868 25.24036 23 27.87544 25.9002 31 20.51943 27.06187 31 19.26063 26.96245 31 -6.875499 25.89983 23 26.79868 25.24036 23 26.50387 24.01239 23 27.16371 22.93563 31 21.24034 29.28061 31 21.33975 28.02182 23 21.33975 28.02182 23 20.51959 27.06154 31 20.28039 30.10094 23 21.24067 29.28078 31 12.15 30 31 19.0216 30.00152 23 20.28039 30.10094 31 11.66646 31.16646 31 18.20127 29.04158 23 19.02143 30.00186 31 10.5 28.35 31 18.30068 27.78278 23 18.20127 29.04158 31 11.66646 28.83354 31 1.739368 26.96245 23 18.30035 27.78261 31 2.699318 27.78278 23 19.26063 26.96245 23 12.15 30 23 11.66673 28.83327 31 10.5 31.65 23 11.66673 31.16673 31 0.7196121 30.10094 31 9.333539 31.16646 23 10.5 31.65 31 1.978405 30.00152 31 8.850002 30 23 9.333274 31.16673 31 2.798733 29.04158 31 9.333539 28.83354 23 8.850002 30 23 9.333274 28.83327 23 10.5 28.35 23 2.798733 29.04158 23 2.699651 27.78261 23 1.978574 30.00186 31 -8.103404 25.60539 31 -0.2403377 29.28061 23 0.7196121 30.10094 31 -0.3397531 28.02182 23 -0.2406706 29.28078 31 0.4805755 27.06187 23 -0.3397531 28.02182 23 0.4804058 27.06154 23 1.739368 26.96245 23 -5.798679 25.24036 23 -5.503872 24.01239 23 -6.875441 25.9002 31 -8.762875 24.52857 23 -8.103404 25.60539 31 -8.468437 23.30067 23 -8.763244 24.52863 23 -8.468437 23.30067 23 -7.391674 22.64082 23 -6.163712 22.93563 31 -8.762875 -24.52857 23 -8.468437 -23.30067 23 -7.391674 -22.64082 31 -8.103404 -25.60539 23 -8.763244 -24.52863 23 -8.103404 -25.60539 23 -6.875441 -25.9002 31 0.4805755 -27.06187 23 -5.798679 -25.24036 23 -5.503872 -24.01239 23 -6.163712 -22.93563 31 -0.2403377 -29.28061 31 -0.3397531 -28.02182 23 -0.3397531 -28.02182 23 0.4804058 -27.06154 23 -0.2406706 -29.28078 23 0.7196121 -30.10094 23 1.978574 -30.00186 23 2.798733 -29.04158 23 2.699651 -27.78261 23 1.739368 -26.96245 22.00858 10.5 -12.5 22.00858 17.84732 -10.11271 22.00858 22.38821 -3.862712 22.00858 22.38821 3.862712 22.00858 17.84732 10.11271 22.00858 10.5 12.5 22.00858 3.152684 10.11271 22.00858 -1.388206 3.862712 22.00858 -1.388206 -3.862712 22.00858 3.152684 -10.11271 22.00858 10.5 -22.5 22.00858 19.65158 -20.55477 22.00858 27.22076 -15.05544 22.00858 23.72517 18.20288 22.00858 15.17801 22.00832 22.00858 5.821987 22.00832 22.00858 -2.725168 18.20288 22.00858 -6.220758 -15.05544 22.00858 1.348425 -20.55477 22.00858 10.5 -30 22.00858 19.77051 -28.5317 22.00858 28.13356 -24.27051 22.00858 28.13356 24.27051 22.00858 19.77051 28.5317 22.00858 10.5 30 22.00858 1.22949 28.5317 22.00858 -7.133558 24.27051 22.00858 -7.133558 -24.27051 22.00858 1.22949 -28.5317 31 18.74621 -16 31 18.74621 16 31 23.91413 12.00238 35 23.91413 12.00238 31 14.5 0 35 18.74621 16 31 2.253789 16 31 7.671573 2.828427 31 13.32843 2.828427 31 10.5 4 31 23.91468 -12.00176 31 27.31398 6.425401 35 27.31398 6.425401 31 27.31446 -6.424158 31 28.5 7.48164e-4 35 28.5 7.48164e-4 35 27.31446 -6.424158 35 23.91468 -12.00176 35 18.74621 -16 35 2.253789 -16 31 2.253789 -16 31 13.32843 -2.828427 35 15.1194 1.913417 35 6.964466 -3.535534 35 8.586585 -4.619398 35 10.5 -5 35 12.41342 -4.619398 35 14.03553 -3.535534 35 15.1194 -1.913417 35 15.5 0 35 2.253789 16 35 14.03553 3.535534 31 -2.914587 12.00186 31 -2.914232 -12.00225 31 6.5 0 35 -2.914587 12.00186 35 5.880602 -1.913417 35 5.5 0 35 5.880602 1.913417 35 12.41342 4.619398 35 10.5 5 35 8.586585 4.619398 35 6.964466 3.535534 35 -6.314009 -6.425342 35 -6.314483 6.424093 31 -6.314483 6.424093 35 -2.914232 -12.00225 35 -7.5 -0.001286566 31 -7.5 -0.001286566 31 -6.314009 -6.425342 31 7.671573 -2.828427 31 10.5 -4 37 5.5 0 37 5.880602 1.913417 37 5.880602 -1.913417 37 6.964466 -3.535534 37 8.586585 -4.619398 37 10.5 -5 37 12.41342 -4.619398 37 14.03553 -3.535534 37 15.1194 -1.913417 37 15.5 0 37 15.1194 1.913417 37 14.03553 3.535534 37 12.41342 4.619398 37 10.5 5 37 8.586585 4.619398 37 6.964466 3.535534 37 5.645841 -3.526377 54.5 5.632393 -3.508049 54.5 4.5 0 55 5 0 37 4.5 0 54.5 5.63317 3.509126 55 6.03806 3.215411 54.5 6.961415 -4.845453 55 7.255643 -4.441168 55 6.037611 -3.214785 37 8.646496 -5.706463 54.5 8.638402 -5.703898 55 8.794021 -5.228663 54.5 10.49936 -6 37 12.3535 -5.706463 54.5 12.36038 -5.704296 55 10.49967 -5.499849 37 15.35416 -3.526377 54.5 14.03756 -4.846204 55 12.20533 -5.228874 54.5 15.36683 -3.509126 55 13.74379 -4.441577 37 16.5 0 54.5 16.5 0 55 14.96194 -3.215411 37 15.35416 3.526377 55 16 0 54.5 15.36761 3.508049 37 5.645841 3.526377 55 14.96239 3.214785 55 13.74436 4.441168 55 7.256206 4.441577 55 12.20598 5.228663 55 8.794669 5.228874 54.5 6.962443 4.846204 55 10.50033 5.499849 54.5 8.639623 5.704296 54.5 10.50064 6 54.5 14.03858 4.845453 54.5 12.3616 5.703898 37 12.3535 5.706463 37 8.646496 5.706463 21 14.66882 -1.69412 21 6.331246 -1.694271 21 6 0 21.5 5.5 0 21 15 0 21 6.331185 1.69412 21.5 6.439014 2.916915 21 13.69622 -3.167587 21 7.303934 -3.16774 21.5 6.439213 -2.917193 21 12.23141 -4.153464 21 8.768771 -4.15354 21.5 7.548028 -4.035574 21 10.5001 -4.499873 21.5 8.94695 -4.752687 21.5 10.50017 -5 21.5 13.45224 -4.035377 21.5 12.05337 -4.752584 21.5 14.56099 -2.916915 21 14.66875 1.694271 21.5 15.5 0 21 7.303782 3.167587 21 13.69607 3.16774 21.5 14.56079 2.917193 21 8.768589 4.153464 21 12.23123 4.15354 21.5 13.45197 4.035574 21 10.4999 4.499873 21.5 12.05305 4.752687 21.5 10.49983 5 21.5 7.547758 4.035377 21.5 8.946636 4.752584 30 5.5 0 30 5.880602 1.913417 30 5.880602 -1.913417 30 6.5 0 30 7.671573 2.828427 30 6.964466 -3.535534 30 7.671573 -2.828427 30 8.586585 -4.619398 30 10.5 -4 30 12.41342 -4.619398 30 10.5 -5 30 14.03553 -3.535534 30 15.1194 -1.913417 30 13.32843 -2.828427 30 15.5 0 30 14.5 0 30 15.1194 1.913417 30 6.964466 3.535534 30 12.41342 4.619398 30 8.586585 4.619398 30 10.5 4 30 10.5 5 30 14.03553 3.535534 30 13.32843 2.828427 70.64987 17.28809 -2.470663 70.64987 17.72373 0 72 10.5 0 70.64987 17.28809 2.470663 70.64987 16.0337 -4.643327 70.64987 14.11187 -6.255938 70.64987 11.75439 -7.11399 70.64987 9.245613 -7.11399 70.64987 6.888133 -6.255938 70.64987 4.966298 -4.643327 70.64987 3.71191 -2.470663 70.64987 3.276265 0 70.64987 3.71191 2.470663 70.64987 4.966298 4.643327 70.64987 6.888133 6.255938 70.64987 9.245613 7.11399 70.64987 11.75439 7.11399 70.64987 14.11187 6.255938 70.64987 16.0337 4.643327 66.77679 23.97763 0 66.77679 23.16483 4.609622 66.77679 23.16483 -4.609622 66.77679 20.82447 -8.663256 66.77679 17.23882 -11.67197 66.77679 12.84037 -13.27288 66.77679 8.159634 -13.27288 66.77679 3.761183 -11.67197 66.77679 0.175534 -8.663256 66.77679 -2.164832 -4.609622 66.77679 -2.977633 0 60.9047 28.40828 0 60.9047 27.32828 6.124991 60.9047 27.32828 -6.124991 60.9047 24.21854 -11.51122 60.9047 19.45414 -15.50902 60.9047 13.60974 -17.63621 60.9047 7.39026 -17.63621 60.9047 1.545862 -15.50902 60.9047 -3.218536 -11.51122 60.9047 -6.328275 -6.124991 60.9047 -7.408277 0 66.77679 -2.164832 4.609622 53.82798 30.41629 0 53.82798 29.21519 6.811771 53.82798 29.21519 -6.811771 53.82798 25.75676 -12.80194 53.82798 20.45814 -17.24801 53.82798 13.95843 -19.61371 53.82798 7.041573 -19.61371 53.82798 0.5418565 -17.24801 53.82798 -4.756761 -12.80194 53.82798 -8.215188 -6.811771 53.82798 -9.416289 0 60.9047 -6.328275 6.124991 46.50397 29.73002 0 46.50397 28.57031 6.577054 46.50397 28.57031 -6.577054 46.50397 25.23105 -12.36082 46.50397 20.11501 -16.65369 46.50397 13.83926 -18.93787 46.50397 7.160742 -18.93787 46.50397 0.8849895 -16.65369 46.50397 -4.231051 -12.36082 46.50397 -7.570309 -6.577054 46.50397 -8.730023 0 53.82798 -8.215188 6.811771 39.92347 26.44232 0 39.92347 25.48088 5.452593 39.92347 25.48088 -5.452593 39.92347 22.71252 -10.24752 39.92347 18.47116 -13.80645 39.92347 13.26835 -15.70012 39.92347 7.731646 -15.70012 39.92347 2.528842 -13.80645 39.92347 -1.712523 -10.24752 39.92347 -4.480877 -5.452593 39.92347 -5.442317 0 46.50397 -7.570309 6.577054 35 21.03565 0 35 20.67642 2.727285 35 19.6243 -5.26733 35 20.67642 -2.727285 35 17.94983 -7.449832 35 15.76733 -9.124295 35 10.5 -10.53565 35 13.22729 -10.17641 35 7.772715 -10.17641 35 5.23267 -9.124295 35 1.375706 -5.26733 35 3.050168 -7.449832 35 0.3235852 -2.727285 35 -0.03565371 0 39.92347 -4.480877 5.452593 35 15.6 0 35 14.62629 2.997162 35 14.62629 -2.997162 35 8.923769 -4.850137 35 12.07623 -4.850137 35 6.373708 -2.997162 35 5.4 0 35 0.3235852 2.727285 35 12.07623 4.850137 35 19.6243 5.26733 35 3.050168 7.449832 35 17.94983 7.449832 39.92347 22.71252 10.24752 35 1.375706 5.26733 35 5.23267 9.124295 35 15.76733 9.124295 35 7.772715 10.17641 35 13.22729 10.17641 39.92347 18.47116 13.80645 35 10.5 10.53565 39.92347 13.26835 15.70012 39.92347 7.731646 15.70012 39.92347 2.528842 13.80645 39.92347 -1.712523 10.24752 35 6.373708 2.997162 35 8.923769 4.850137 60 15.6 0 60 14.62599 2.997705 60 14.62599 -2.997705 60 12.07599 -4.850388 60 8.924015 -4.850388 60 6.374013 -2.997705 60 5.4 0 60 6.374013 2.997705 60 8.924015 4.850388 60 12.07599 4.850388 66.77679 0.175534 8.663256 66.77679 3.761183 11.67197 66.77679 8.159634 13.27288 66.77679 12.84037 13.27288 66.77679 17.23882 11.67197 66.77679 20.82447 8.663256 60.9047 -3.218536 11.51122 60.9047 1.545862 15.50902 60.9047 7.39026 17.63621 60.9047 13.60974 17.63621 60.9047 19.45414 15.50902 60.9047 24.21854 11.51122 53.82798 -4.756761 12.80194 53.82798 0.5418565 17.24801 53.82798 7.041573 19.61371 53.82798 13.95843 19.61371 53.82798 20.45814 17.24801 53.82798 25.75676 12.80194 46.50397 -4.231051 12.36082 46.50397 0.8849895 16.65369 46.50397 7.160742 18.93787 46.50397 13.83926 18.93787 46.50397 20.11501 16.65369 46.50397 25.23105 12.36082 63.06439 10.5 0 63.71566 1.41073 15.38782</float_array>
+ <technique_common>
+ <accessor source="#wrist_fe-mesh-positions-array" count="1462" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="wrist_fe-mesh-normals">
+ <float_array id="wrist_fe-mesh-normals-array" count="8934">0 0 -1 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 -1 0 0 0 -1 0 0 -1 0 0 0 -1 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 0 1 0 0 1 0 0 0 -1 -0.1993728 0.9799238 0 0 0 -1 0 0 -1 -0.5663943 0.8241345 -6.942e-5 0 0 -1 0 0 -1 -0.1994068 0.9799168 3.42002e-5 0 0 -1 -0.843375 0.5373255 3.62812e-5 0 0 -1 0 0 -1 -0.5663961 0.8241332 -6.71951e-5 0 0 -1 -0.933571 0.3583925 0 0 0 -1 0 0 -1 -0.8433553 0.5373564 0 -0.933571 0.3583925 0 0 0 -1 -0.9851088 0.1719325 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9770505 -0.2130078 0 0 0 -1 -0.9851088 0.1719325 0 0 0 -1 -0.8241339 -0.5663951 0 0 0 -1 -0.9770505 -0.2130078 0 -0.5490254 -0.8358058 0 0 0 -1 -0.8241339 -0.5663951 0 -0.1925453 -0.9812881 0 -0.5490254 -0.8358058 0 0 -1 0 -0.1925453 -0.9812881 0 0 -1 0 -0.09274411 -0.7040591 -0.7040591 0.09279364 -0.7044331 -0.7036784 0.09268414 -0.7040631 -0.7040631 -0.2718341 -0.6564474 -0.7036923 -0.09273457 -0.7044287 -0.7036906 -0.4323497 -0.5633651 -0.7040551 -0.2717474 -0.656087 -0.7040619 -0.5636445 -0.4325776 -0.7036914 -0.4325261 -0.5636897 -0.7036868 -0.6561116 -0.271713 -0.7040524 -0.5633923 -0.432312 -0.7040565 -0.7044143 -0.0927965 -0.7036969 -0.6564183 -0.2719007 -0.7036938 -0.7040567 0.09275221 -0.7040603 -0.7040643 -0.09269297 -0.7040607 -0.6564511 0.2718508 -0.7036825 -0.7044414 0.09274232 -0.7036769 -0.5633508 0.4323546 -0.7040634 -0.6560744 0.2717602 -0.7040688 -0.4325746 0.5636581 -0.7036823 -0.5636917 0.4325399 -0.7036766 -0.271692 0.6561093 -0.7040625 -0.4322946 0.5633923 -0.7040671 0 0 -1 -0.09279346 0.7044319 -0.7036797 -0.2718949 0.6564409 -0.7036752 0 0 -1 0.09274405 0.7040591 -0.7040591 0 0 -1 0 0 -1 -0.09268438 0.7040631 -0.7040631 0 0 -1 0.2718337 0.6564468 -0.7036932 0.09273457 0.7044284 -0.703691 0 0 -1 0.4323458 0.56336 -0.7040615 0.2717464 0.6560837 -0.7040653 0 0 -1 0.563646 0.4325791 -0.7036892 0.4325261 0.5636919 -0.7036851 0 0 -1 0.6561066 0.2717088 -0.7040585 0 0 -1 0.5633885 0.432308 -0.7040619 0 0 -1 0.7044228 0.09279865 -0.7036882 0.6564257 0.2719041 -0.7036857 0.7040587 -0.09275186 -0.7040587 0.7040625 0.09269213 -0.7040625 0.6564441 -0.2718482 -0.7036902 0.7044332 -0.0927422 -0.7036851 0.5633493 -0.4323537 -0.7040652 0.656077 -0.2717599 -0.7040663 0.4325702 -0.5636543 -0.703688 0.5636851 -0.4325362 -0.7036843 0.2716946 -0.6561145 -0.7040567 0.4322991 -0.5633968 -0.7040606 0.2718949 -0.6564418 -0.7036741 -0.1861522 -0.6947472 -0.6947472 0.1861701 -0.6948155 -0.6946742 0.1861456 -0.6947481 -0.6947481 -0.5086265 -0.5086354 -0.6946865 -0.1861648 -0.6948184 -0.6946725 -0.5085252 -0.5085502 -0.6948228 -0.6946924 -0.1861442 -0.6948041 -0.6947447 0.1861589 -0.6947478 -0.6947472 -0.186164 -0.6947441 -0.5086214 0.508632 -0.6946925 -0.6946911 0.1861494 -0.6948041 -0.1861701 0.6948155 -0.6946742 -0.5085269 0.5085526 -0.6948199 0.1861522 0.6947472 -0.6947472 -0.1861456 0.6947481 -0.6947481 0.5086265 0.5086354 -0.6946865 0.5085252 0.5085502 -0.6948228 0.1861648 0.6948185 -0.6946724 0.6946924 0.1861442 -0.6948041 0.6947447 -0.1861589 -0.6947478 0.6947472 0.186164 -0.6947441 0.5086214 -0.508632 -0.6946925 0.6946911 -0.1861494 -0.6948041 0.5085269 -0.5085526 -0.6948199 0 0 1 0 -1 0 0 0 1 -1 0 0 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 0 1 -0.1925453 -0.9812881 0 0 0 1 0 0 1 -0.5490254 -0.8358058 0 0 0 1 -0.1925453 -0.9812881 0 0 0 1 -0.8241339 -0.5663951 0 0 0 1 -0.5490254 -0.8358058 0 0 0 1 -0.9770505 -0.2130078 0 0 0 1 -0.8241339 -0.5663951 0 0 0 1 -0.9851088 0.1719325 0 0 0 1 0 0 1 -0.9770505 -0.2130078 0 0 0 1 -0.933571 0.3583925 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.933571 0.3583925 0 -0.9851088 0.1719325 0 0 0 1 -0.843375 0.5373255 0 0 0 1 0 0 1 0 0 1 -0.5663943 0.8241345 6.71953e-5 0 0 1 -0.8433553 0.5373564 -3.63027e-5 0 0 1 -0.1993728 0.9799238 -3.42082e-5 0 0 1 0 0 1 -0.5663961 0.8241332 6.94034e-5 0 0 1 0 1 0 0 1 0 -0.1994068 0.9799168 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 0 1 0 0 1 0 0 1 0 -0.1861518 0.6947472 0.6947472 0.1861707 0.6948162 0.6946734 0.186146 0.6947481 0.6947481 -0.5086216 0.5086323 0.6946922 -0.1861642 0.6948177 0.6946734 -0.5085269 0.5085526 0.6948199 0 0 1 -0.6946929 0.186145 0.6948034 0 0 1 -0.6947478 -0.186159 0.6947448 0 0 1 -0.6947441 0.1861636 0.6947472 0 0 1 -0.5086263 -0.5086352 0.6946867 0 0 1 0 0 1 -0.6946905 -0.1861488 0.6948048 0 0 1 -0.1861707 -0.6948162 0.6946734 0 0 1 0 0 1 -0.5085252 -0.5085502 0.6948228 0 0 1 0.1861518 -0.6947472 0.6947472 0 0 1 -0.186146 -0.6947481 0.6947481 0.5086216 -0.5086323 0.6946922 0 0 1 0.5085269 -0.5085526 0.6948199 0.1861643 -0.6948179 0.6946733 0.6946929 -0.186145 0.6948034 0.6947478 0.186159 0.6947448 0.6947441 -0.1861636 0.6947472 0.5086263 0.5086352 0.6946867 0.6946905 0.1861488 0.6948048 0.5085252 0.5085502 0.6948228 -0.09274435 0.7040591 0.7040591 0.09279125 0.7044172 0.7036947 0.09268641 0.7040629 0.7040629 -0.2718373 0.6564604 0.7036791 -0.09273445 0.7044436 0.7036757 -0.4323448 0.5633587 0.7040632 -0.2717465 0.6560825 0.7040665 -0.5636518 0.4325856 0.7036806 -0.4325292 0.5636979 0.7036783 -0.6561011 0.2717059 0.7040648 -0.5633846 0.4323042 0.7040674 -0.7044297 0.09280133 0.7036808 -0.6564316 0.2719082 0.7036786 -0.7040606 -0.09274989 0.704057 -0.7040607 0.09269219 0.7040643 -0.6564364 -0.2718475 0.7036976 -0.7044253 -0.09274047 0.7036932 -0.5633604 -0.4323596 0.7040527 -0.6560867 -0.2717634 0.704056 -0.4325695 -0.5636516 0.7036906 -0.5636823 -0.4325345 0.7036876 -0.2716954 -0.6561126 0.7040581 -0.4323017 -0.5633972 0.7040589 -0.09279125 -0.7044174 0.7036944 -0.271889 -0.6564289 0.7036886 0.09274435 -0.7040591 0.7040591 -0.09268641 -0.7040629 0.7040629 0.2718381 -0.6564611 0.7036781 0.09273445 -0.704445 0.7036745 0.4323477 -0.5633644 0.7040568 0.2717484 -0.6560879 0.7040607 0.5636457 -0.4325811 0.7036882 0.4325262 -0.5636928 0.7036842 0.6561031 -0.271707 0.7040625 0.5633825 -0.432304 0.7040691 0.7044218 -0.09279966 0.7036889 0.656425 -0.2719041 0.7036862 0.7040587 0.09275072 0.7040587 0.7040625 -0.09269338 0.7040625 0.6564445 0.2718487 0.7036895 0.7044342 0.09274107 0.7036843 0.563356 0.4323565 0.7040581 0.6560808 0.2717612 0.7040624 0.4325705 0.5636529 0.7036889 0.5636846 0.4325352 0.7036854 0.271694 0.6561095 0.7040615 0.4322967 0.5633929 0.7040654 0.271889 0.656428 0.7036893 0 -1 0 0 -1 0 0 -0.7071067 -0.7071067 -1 0 0 -1 0 0 0 -0.7071067 -0.7071067 0 0 1 0 0 1 0 0 1 0 0 1 -0.2588357 0 0.9659214 0 0 1 0 0 1 -0.7071068 0 0.7071068 -0.2588357 0 0.9659214 -0.9659214 0 0.2588357 -0.7071068 0 0.7071068 0 -1 0 -1 0 0 -0.9659214 0 0.2588357 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -0.9659214 0 -0.2588357 -1 0 0 -1 0 0 0 -1 0 -0.7071068 0 -0.7071068 -0.9659214 0 -0.2588357 0 -1 0 -0.2588357 0 -0.9659214 -0.7071068 0 -0.7071068 0 0 -1 -0.2588357 0 -0.9659214 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071067 0.7071067 -1 0 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0 -0.7071067 0.7071067 0 -0.7071068 0.7071068 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0 -0.7071068 -0.7071068 0 1 0 0.7071068 0.7071068 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.7071067 -0.7071067 0.7071068 0.7071068 0 0 0.7071067 -0.7071067 0 0.7071068 -0.7071068 0 0.7071067 0.7071067 0.7071068 0.7071068 0 0.7071068 0.7071068 0 0 0.7071068 0.7071068 -1 0 0 0 0.7071067 0.7071067 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.951063 -0.3089971 0 -0.951063 0.3089971 0 -0.6891572 -0.2239048 0.6891511 -0.951063 0.3089971 0 -0.6891542 0.2239038 0.6891542 -0.6891542 -0.2239042 0.6891542 -0.951063 -0.3089971 0 -0.6891542 -0.2239038 -0.6891542 -0.6891546 0.223904 -0.6891539 -0.6891543 0.2239039 -0.6891543 -0.5878093 -0.8089996 0 -0.4259368 -0.5862153 -0.6891512 -0.5878093 -0.8089996 0 -0.689157 -0.2239051 -0.6891511 2.57165e-7 -1 0 1.86347e-7 -0.7246188 -0.6891499 2.57165e-7 -1 0 -0.4259378 -0.586217 -0.6891493 0.5878098 -0.8089992 0 0.4259379 -0.5862159 -0.6891501 0.5878098 -0.8089992 0 1.78893e-7 -0.7246188 -0.6891499 0.951063 -0.3089971 0 0.6891546 -0.223904 -0.6891539 0.951063 -0.3089971 0 0.4259358 -0.5862137 -0.6891533 0.951063 0.3089971 0 0.951063 0.3089971 0 0.6891542 0.2239038 -0.6891542 0.6891543 -0.2239039 -0.6891543 0.6891542 -0.2239038 0.6891542 0.6891572 0.2239048 0.6891511 0.6891542 0.2239042 0.6891542 0.4259361 -0.5862135 0.6891533 0.6891546 -0.223904 0.6891539 1.86347e-7 -0.7246187 0.68915 0.4259375 -0.5862161 0.6891501 -0.425938 -0.5862169 0.6891492 1.78893e-7 -0.7246188 0.6891499 -0.4259366 -0.5862155 0.6891512 0.951063 -0.3089971 0 0.951063 0.3089971 0 0.6891546 -0.223904 -0.6891539 0.951063 0.3089971 0 0.6891542 0.2239038 -0.6891542 0.6891543 -0.2239039 -0.6891543 0.951063 -0.3089971 0 0.6891542 -0.2239038 0.6891542 0.6891572 0.2239048 0.6891511 0.6891542 0.2239042 0.6891542 0.5878098 -0.8089992 0 0.4259361 -0.5862135 0.6891533 0.5878098 -0.8089992 0 0.6891546 -0.223904 0.6891539 2.57165e-7 -1 0 1.86347e-7 -0.7246187 0.68915 2.57165e-7 -1 0 0.4259375 -0.5862161 0.6891501 -0.5878093 -0.8089996 0 -0.425938 -0.5862169 0.6891492 -0.5878093 -0.8089996 0 1.78893e-7 -0.7246188 0.6891499 -0.951063 -0.3089971 0 -0.6891572 -0.2239048 0.6891511 -0.951063 -0.3089971 0 -0.4259366 -0.5862155 0.6891512 -0.951063 0.3089971 0 -0.951063 0.3089971 0 -0.6891542 0.2239038 0.6891542 -0.6891542 -0.2239042 0.6891542 -0.6891542 -0.2239038 -0.6891542 -0.6891546 0.223904 -0.6891539 -0.6891543 0.2239039 -0.6891543 -0.4259368 -0.5862153 -0.6891512 -0.689157 -0.2239051 -0.689151 1.86347e-7 -0.7246188 -0.6891499 -0.4259378 -0.586217 -0.6891493 0.4259379 -0.5862159 -0.6891501 1.78893e-7 -0.7246188 -0.6891499 0.4259358 -0.5862137 -0.6891533 0.5878093 0.8089996 0 0.4259368 0.5862153 -0.6891512 0.5878093 0.8089996 0 0.689157 0.2239051 -0.689151 -2.57165e-7 1 0 -1.86347e-7 0.7246188 -0.6891499 -2.57165e-7 1 0 0.4259378 0.586217 -0.6891493 -0.5878098 0.8089992 0 -0.4259379 0.5862159 -0.6891501 -0.5878098 0.8089992 0 -1.78893e-7 0.7246188 -0.6891499 -0.4259358 0.5862137 -0.6891533 -0.4259361 0.5862135 0.6891533 -0.6891545 0.223904 0.6891539 -1.86347e-7 0.7246187 0.68915 -0.4259375 0.5862161 0.6891501 0.425938 0.5862169 0.6891492 -1.78893e-7 0.7246188 0.6891499 0.4259366 0.5862155 0.6891512 -0.5878098 0.8089992 0 -0.4259361 0.5862135 0.6891533 -0.5878098 0.8089992 0 -0.6891545 0.223904 0.6891539 -2.57165e-7 1 0 -1.86347e-7 0.7246187 0.68915 -2.57165e-7 1 0 -0.4259375 0.5862161 0.6891501 0.5878093 0.8089996 0 0.425938 0.5862169 0.6891492 0.5878093 0.8089996 0 -1.78893e-7 0.7246188 0.6891499 0.4259366 0.5862155 0.6891512 0.4259368 0.5862153 -0.6891512 0.689157 0.2239051 -0.6891511 -1.86347e-7 0.7246188 -0.6891499 0.4259378 0.586217 -0.6891493 -0.4259379 0.5862159 -0.6891501 -1.78893e-7 0.7246188 -0.6891499 -0.4259358 0.5862137 -0.6891533 -0.951063 -0.3089968 0 -0.951063 0.3089968 0 -0.6891538 -0.2239035 0.6891548 -0.951063 0.3089968 0 -0.6891543 0.2239036 0.6891543 -0.6891543 -0.2239035 0.6891543 -0.951063 -0.3089968 0 -0.6891543 -0.2239036 -0.6891543 -0.6891538 0.2239035 -0.6891548 -0.6891543 0.2239035 -0.6891543 -0.5878099 -0.8089992 0 -0.4259364 -0.5862137 -0.689153 -0.5878099 -0.8089992 0 -0.6891538 -0.2239034 -0.6891548 0 -1 0 0 -0.7246222 -0.6891463 0 -1 0 -0.4259395 -0.5862194 -0.6891461 0.58781 -0.808999 0 0.4259397 -0.5862179 -0.6891472 0.58781 -0.808999 0 0 -0.7246223 -0.6891463 0.951063 -0.3089968 0 0.6891554 -0.223904 -0.689153 0.951063 -0.3089968 0 0.4259366 -0.5862147 -0.6891518 0.9510629 0.308997 0 0.9510629 0.308997 0 0.6891542 0.2239038 -0.6891542 0.6891543 -0.2239038 -0.6891543 0.6891543 -0.2239036 0.6891543 0.6891576 0.2239049 0.6891506 0.6891542 0.2239043 0.6891542 0.4259371 -0.5862143 0.6891519 0.6891553 -0.2239041 0.689153 0 -0.7246222 0.6891463 0.4259392 -0.5862182 0.6891473 -0.4259403 -0.5862191 0.689146 0 -0.7246223 0.6891463 -0.4259356 -0.5862142 0.6891528 0.951063 -0.3089968 0 0.9510629 0.308997 0 0.6891554 -0.223904 -0.689153 0.9510629 0.308997 0 0.6891542 0.2239038 -0.6891542 0.6891543 -0.2239038 -0.6891543 0.951063 -0.3089968 0 0.6891543 -0.2239036 0.6891543 0.6891576 0.2239049 0.6891506 0.6891542 0.2239043 0.6891542 0.58781 -0.808999 0 0.4259371 -0.5862143 0.6891519 0.58781 -0.808999 0 0.6891553 -0.2239041 0.689153 0 -1 0 0 -0.7246222 0.6891463 0 -1 0 0.4259392 -0.5862182 0.6891473 -0.5878099 -0.8089992 0 -0.4259403 -0.5862191 0.689146 -0.5878099 -0.8089992 0 0 -0.7246223 0.6891463 -0.951063 -0.3089968 0 -0.6891538 -0.2239035 0.6891548 -0.951063 -0.3089968 0 -0.4259356 -0.5862142 0.6891528 -0.951063 0.3089968 0 -0.951063 0.3089968 0 -0.6891543 0.2239036 0.6891543 -0.6891543 -0.2239035 0.6891543 -0.6891543 -0.2239036 -0.6891543 -0.6891538 0.2239035 -0.6891548 -0.6891543 0.2239035 -0.6891543 -0.4259364 -0.5862137 -0.689153 -0.6891538 -0.2239034 -0.6891548 0 -0.7246222 -0.6891463 -0.4259395 -0.5862194 -0.6891461 0.4259397 -0.5862179 -0.6891472 0 -0.7246223 -0.6891463 0.4259366 -0.5862147 -0.6891518 0.5878099 0.8089991 0 0.4259378 0.5862156 -0.6891504 0.5878099 0.8089991 0 0.6891572 0.2239052 -0.6891508 -2.57165e-6 1 0 -1.86348e-6 0.7246225 -0.689146 -2.57165e-6 1 0 0.4259399 0.5862193 -0.6891461 -0.5878084 0.8090002 0 -0.4259318 0.5862096 -0.6891592 -0.5878084 0.8090002 0 0 0.7246084 -0.6891608 -0.4259359 0.586214 -0.689153 -0.4259354 0.5862146 0.6891528 -0.6891538 0.2239034 0.6891549 -1.86344e-6 0.7246082 0.6891611 -0.4259325 0.5862093 0.6891591 0.4259403 0.586219 0.6891459 0 0.7246223 0.6891463 0.4259374 0.5862159 0.6891503 -0.5878084 0.8090002 0 -0.4259354 0.5862146 0.6891528 -0.5878084 0.8090002 0 -0.6891538 0.2239034 0.6891549 -2.57165e-6 1 0 -1.86344e-6 0.7246082 0.6891611 -2.57165e-6 1 0 -0.4259325 0.5862093 0.6891591 0.5878099 0.8089991 0 0.4259403 0.586219 0.6891459 0.5878099 0.8089991 0 0 0.7246223 0.6891463 0.4259374 0.5862159 0.6891503 0.4259378 0.5862156 -0.6891504 0.6891572 0.2239052 -0.6891508 -1.86348e-6 0.7246225 -0.689146 0.4259399 0.5862193 -0.6891461 -0.4259318 0.5862096 -0.6891592 0 0.7246084 -0.6891608 -0.4259359 0.586214 -0.689153 0 0 1 -0.2588198 -0.9659256 0 0 0 1 0.2588198 -0.9659256 1.68231e-5 0 0 1 0 0 1 0 0 1 0 0 1 0.3694176 -0.8918929 0.2608789 0.1305158 -0.9914463 0 0 0 1 -0.7006283 -0.7006298 0.1350476 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.125998 -0.9571036 0.2609159 -0.3826682 -0.9238859 8.14342e-6 -0.6087542 -0.7933589 -5.13344e-6 0 0 1 -0.9570773 -0.2564474 0.1350471 -0.7933493 -0.6087667 1.42068e-6 -0.9238778 -0.3826875 -4.79261e-6 -0.9659261 0.2588184 0 -0.9914447 -0.1305277 0 0 0 1 -0.707106 0.7071076 4.94526e-6 0 0 1 0 0 1 0 0 1 -0.9571076 0.1260067 0.2608974 -0.9238768 0.3826898 -6.26616e-6 0 0 1 -0.2588198 0.9659256 1.62532e-5 0 0 1 0 0 1 0 0 1 -0.7658745 0.5876817 0.2608956 -0.6087512 0.7933611 -6.44366e-6 0 0 1 0.2588198 0.9659256 0 0 0 1 0 0 1 0 0 1 -0.1305161 0.9914461 0 -0.369418 0.8918927 0.2608792 0 0 1 0.7006285 0.7006294 0.1350492 0 0 1 0 0 1 0 0 1 0.125998 0.9571037 0.2609159 0.3826686 0.9238857 7.55994e-6 0.6087527 0.7933601 -6.05668e-6 0 0 1 0.957077 0.256448 0.1350482 0 0 1 0.7933501 0.6087657 2.53693e-6 0.9238776 0.3826878 -3.47098e-6 0.9659258 -0.2588191 8.22764e-7 0.9914448 0.1305269 -4.18589e-7 0 0 1 0.7071064 -0.7071072 6.74351e-6 0 0 1 0 0 1 0 0 1 0 0 1 0.9571077 -0.126008 0.2608967 0.9238775 -0.3826882 -3.93221e-6 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.765874 -0.5876832 0.2608937 0.6087521 -0.7933604 -5.53039e-6 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9237744 0.3829372 0 0.9237741 -0.3829379 0 0.9237741 -0.3829379 0 0.3829387 0.9237738 0 0.9237744 0.3829372 0 -0.3829387 0.9237738 0 0.3829387 0.9237738 0 -0.9237744 0.3829372 0 -0.3829387 0.9237738 0 -0.9237741 -0.3829379 0 -0.9237744 0.3829372 0 -0.3829404 -0.9237731 0 -0.9237741 -0.3829379 0 0.3829404 -0.9237731 0 -0.3829404 -0.9237731 0 0.3829404 -0.9237731 0 -0.1302544 -0.9914806 0 -0.7935159 -0.6085497 0 -0.7935159 -0.6085497 0 0.6085429 -0.793521 0 -0.1302544 -0.9914806 0 0.9914808 -0.1302524 0 0.6085429 -0.793521 0 0.793521 0.6085427 0 0.9914808 -0.1302524 0 0.1302544 0.9914806 0 0.793521 0.6085427 0 -0.6085429 0.793521 0 0.1302544 0.9914806 0 -0.9914795 0.1302632 0 -0.6085429 0.793521 0 -0.9914795 0.1302632 0 -0.7935189 0.6085457 0 -0.1302543 0.9914807 0 -0.1302543 0.9914807 0 -0.9914805 -0.1302553 0 -0.7935189 0.6085457 0 -0.6085423 -0.7935215 0 -0.9914805 -0.1302553 0 0.1302544 -0.9914807 0 -0.6085423 -0.7935215 0 0.7935187 -0.6085458 0 0.1302544 -0.9914807 0 0.9914805 0.1302551 0 0.7935187 -0.6085458 0 0.6085424 0.7935214 0 0.9914805 0.1302551 0 0.6085424 0.7935214 0 0 0 1 -0.258881 -0.9659092 0 0 0 1 0.258881 -0.9659092 1.65184e-4 0 0 1 0 0 1 0.258804 -0.9659299 0 0 0 1 -0.7071862 -0.7070273 1.83941e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2588045 -0.9659297 1.64086e-4 -0.7070894 -0.7071242 -9.97914e-5 0 0 1 -0.9659388 -0.2587707 -1.82841e-5 0 0 1 0 0 1 -0.9659388 0.2587707 1.05816e-4 -0.9659233 -0.2588283 1.05178e-4 0 0 1 -0.7071862 0.7070273 1.84364e-4 0 0 1 0 0 1 0 0 1 0 0 1 -0.9659231 0.2588288 -1.88188e-5 0 0 1 -0.258881 0.9659092 1.65184e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.707089 0.7071247 -1.00612e-4 0 0 1 0.258881 0.9659092 0 0 0 1 -0.258804 0.9659299 0 0 0 1 0.7071862 0.7070273 1.83941e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2588045 0.9659297 1.64086e-4 0.7070894 0.7071242 -9.97914e-5 0 0 1 0.9659388 0.2587707 -1.82841e-5 0.9659388 -0.2587707 1.05816e-4 0.9659233 0.2588283 1.05178e-4 0 0 1 0.7071862 -0.7070273 1.84364e-4 0 0 1 0 0 1 0.9659231 -0.2588288 -1.88188e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.707089 -0.7071247 -1.00612e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9237751 0.3829357 0 0.9237749 -0.3829361 0 0.9237749 -0.3829361 0 0.3829352 0.9237752 0 0.9237751 0.3829357 0 -0.3829352 0.9237752 0 0.3829352 0.9237752 0 -0.9237751 0.3829357 0 -0.3829352 0.9237752 0 -0.9237749 -0.3829361 0 -0.9237751 0.3829357 0 -0.3829361 -0.9237749 0 -0.9237749 -0.3829361 0 0.3829361 -0.9237749 0 -0.3829361 -0.9237749 0 0.3829361 -0.9237749 0 -0.7935194 0.608545 0 -0.1302551 0.9914805 0 -0.1302551 0.9914805 0 -0.9914806 -0.1302543 0 -0.7935194 0.608545 0 -0.6085442 -0.79352 0 -0.9914806 -0.1302543 0 0.1302549 -0.9914806 0 -0.6085442 -0.79352 0 0.7935194 -0.608545 0 0.1302549 -0.9914806 0 0.9914805 0.1302552 0 0.7935194 -0.608545 0 0.6085448 0.7935195 0 0.9914805 0.1302552 0 0.6085448 0.7935195 0 -0.1302549 -0.9914806 0 -0.7935194 -0.608545 0 -0.7935194 -0.608545 0 0.6085442 -0.79352 0 -0.1302549 -0.9914806 0 0.9914806 -0.1302543 0 0.6085442 -0.79352 0 0.7935194 0.608545 0 0.9914806 -0.1302543 0 0.1302551 0.9914805 0 0.7935194 0.608545 0 -0.6085448 0.7935195 0 0.1302551 0.9914805 0 -0.9914805 0.1302552 0 -0.6085448 0.7935195 0 -0.9914805 0.1302552 0 0 0 -1 0.2588198 -0.9659256 0 0 0 -1 -0.2588198 -0.9659256 -1.46034e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.1305189 -0.9914458 0 -0.3694173 -0.8918938 -0.2608764 0 0 -1 0.7006284 -0.7006292 -0.1350497 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1259948 -0.9571025 -0.2609218 0.3826688 -0.9238856 -9.48799e-6 0.6087521 -0.7933604 5.55269e-6 0 0 -1 0.9570771 -0.256448 -0.1350477 0.7933498 -0.6087663 -3.19653e-6 0.9238775 -0.3826882 3.92014e-6 0.9659258 0.2588191 8.22764e-7 0.9914445 -0.1305286 -4.05906e-7 0 0 -1 0.7071064 0.7071072 -5.5072e-6 0 0 -1 0 0 -1 0 0 -1 0.9571071 0.1260063 -0.2608992 0.9238776 0.3826878 3.47556e-6 0 0 -1 0.2588198 0.9659256 -1.42108e-5 0 0 -1 0 0 -1 0 0 -1 0.7658743 0.5876825 -0.2608944 0.6087527 0.7933601 6.08851e-6 0 0 -1 -0.2588198 0.9659256 0 0 0 -1 0 0 -1 0 0 -1 0.3694176 0.8918936 -0.2608766 0.130519 0.9914458 0 0 0 -1 -0.7006281 0.7006296 -0.1350498 0 0 -1 0 0 -1 0 0 -1 -0.125995 0.9571025 -0.2609212 -0.3826693 0.9238854 -8.80303e-6 -0.6087512 0.7933611 6.42288e-6 0 0 -1 -0.9570772 0.2564474 -0.1350479 0 0 -1 -0.7933506 0.608765 -1.21773e-6 -0.9238768 0.3826898 6.26963e-6 -0.9659261 -0.2588184 0 -0.9914447 0.1305274 0 0 0 -1 -0.707106 -0.7071076 -4.49569e-6 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9571077 -0.1260071 -0.2608967 -0.9238778 -0.3826875 4.79476e-6 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7658741 -0.5876839 -0.2608921 -0.6087542 -0.7933589 5.17525e-6 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9237741 -0.3829379 0 0.9237744 0.3829372 0 0.9237744 0.3829372 0 0.3829404 -0.9237731 0 0.9237741 -0.3829379 0 -0.3829404 -0.9237731 0 0.3829404 -0.9237731 0 -0.9237741 -0.3829379 0 -0.3829404 -0.9237731 0 -0.9237744 0.3829372 0 -0.9237741 -0.3829379 0 -0.3829387 0.9237738 0 -0.9237744 0.3829372 0 0.3829387 0.9237738 0 -0.3829387 0.9237738 0 0.3829387 0.9237738 0 -0.7935159 -0.6085497 0 -0.1302544 -0.9914806 0 -0.1302544 -0.9914806 0 -0.9914795 0.1302632 0 -0.7935159 -0.6085497 0 -0.6085429 0.793521 0 -0.9914795 0.1302632 0 0.1302544 0.9914806 0 -0.6085429 0.793521 0 0.793521 0.6085427 0 0.1302544 0.9914806 0 0.9914808 -0.1302524 0 0.793521 0.6085427 0 0.6085429 -0.793521 0 0.9914808 -0.1302524 0 0.6085429 -0.793521 0 -0.1302543 0.9914807 0 -0.7935189 0.6085457 0 -0.7935189 0.6085457 0 0.6085424 0.7935214 0 -0.1302543 0.9914807 0 0.9914805 0.1302551 0 0.6085424 0.7935214 0 0.7935187 -0.6085458 0 0.9914805 0.1302551 0 0.1302544 -0.9914807 0 0.7935187 -0.6085458 0 -0.6085423 -0.7935215 0 0.1302544 -0.9914807 0 -0.9914805 -0.1302553 0 -0.6085423 -0.7935215 0 -0.9914805 -0.1302553 0 0 0 -1 0.258881 -0.9659092 0 0 0 -1 -0.258881 -0.9659092 -1.64027e-4 0 0 -1 0 0 -1 -0.2588045 -0.9659297 0 0 0 -1 0.7071862 -0.7070273 -1.84428e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.258804 -0.9659299 -1.65243e-4 0.707089 -0.7071247 1.00649e-4 0 0 -1 0.9659388 -0.2587707 1.88403e-5 0 0 -1 0 0 -1 0.9659388 0.2587707 -1.0522e-4 0.9659231 -0.2588288 -1.05848e-4 0 0 -1 0.7071862 0.7070273 -1.83874e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9659233 0.2588283 1.82097e-5 0 0 -1 0.258881 0.9659092 -1.64027e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.7070894 0.7071242 9.97594e-5 0 0 -1 -0.258881 0.9659092 0 0 0 -1 0.2588045 0.9659297 0 0 0 -1 -0.7071862 0.7070273 -1.84428e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.258804 0.9659299 -1.65243e-4 -0.707089 0.7071247 1.00649e-4 0 0 -1 -0.9659388 0.2587707 1.88403e-5 -0.9659388 -0.2587707 -1.0522e-4 -0.9659231 0.2588288 -1.05848e-4 0 0 -1 -0.7071862 -0.7070273 -1.83874e-4 0 0 -1 0 0 -1 -0.9659233 -0.2588283 1.82097e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.7070894 -0.7071242 9.97594e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9237749 -0.3829361 0 0.9237751 0.3829357 0 0.9237751 0.3829357 0 0.3829361 -0.9237749 0 0.9237749 -0.3829361 0 -0.3829361 -0.9237749 0 0.3829361 -0.9237749 0 -0.9237749 -0.3829361 0 -0.3829361 -0.9237749 0 -0.9237751 0.3829357 0 -0.9237749 -0.3829361 0 -0.3829352 0.9237752 0 -0.9237751 0.3829357 0 0.3829352 0.9237752 0 -0.3829352 0.9237752 0 0.3829352 0.9237752 0 -0.1302551 0.9914805 0 -0.7935194 0.608545 0 -0.7935194 0.608545 0 0.6085448 0.7935195 0 -0.1302551 0.9914805 0 0.9914805 0.1302552 0 0.6085448 0.7935195 0 0.7935194 -0.608545 0 0.9914805 0.1302552 0 0.1302549 -0.9914806 0 0.7935194 -0.608545 0 -0.6085442 -0.79352 0 0.1302549 -0.9914806 0 -0.9914806 -0.1302543 0 -0.6085442 -0.79352 0 -0.9914806 -0.1302543 0 -0.7935194 -0.608545 0 -0.1302549 -0.9914806 0 -0.1302549 -0.9914806 0 -0.9914805 0.1302552 0 -0.7935194 -0.608545 0 -0.6085448 0.7935195 0 -0.9914805 0.1302552 0 0.1302551 0.9914805 0 -0.6085448 0.7935195 0 0.7935194 0.608545 0 0.1302551 0.9914805 0 0.9914806 -0.1302543 0 0.7935194 0.608545 0 0.6085442 -0.79352 0 0.9914806 -0.1302543 0 0.6085442 -0.79352 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.951017 -0.3091385 0 0.951017 0.3091385 0 0.951017 0.3091385 0 0.5876371 -0.8091247 0 0.951017 -0.3091385 0 0 -1 0 0.5876371 -0.8091247 0 -0.5876371 -0.8091247 0 0 -1 0 -0.9510172 -0.3091383 0 -0.5876371 -0.8091247 0 -0.9510172 0.3091383 0 -0.9510172 -0.3091383 0 -0.5876371 0.8091247 0 -0.9510172 0.3091383 0 0 1 0 -0.5876371 0.8091247 0 0.5876371 0.8091247 0 0 1 0 0.5876371 0.8091247 1 0 0 0 0.9237747 0.3829363 1 0 0 -4.35329e-5 0.9237747 -0.3829363 1 0 0 0 0.9238803 -0.3826816 1 0 0 -4.38553e-5 0.3829373 0.9237743 1 0 0 -4.35278e-5 0.9238803 0.3826816 1 0 0 0 -0.3829376 0.9237743 1 0 0 1 0 0 0 0.3826807 0.9238808 1 0 0 -4.40835e-5 -0.9237743 0.3829376 1 0 0 -4.40784e-5 -0.3826796 0.9238811 1 0 0 0 -0.9237743 -0.3829376 1 0 0 0 -0.9238811 0.3826796 1 0 0 -4.40835e-5 -0.3829376 -0.9237743 1 0 0 -4.40773e-5 -0.9238811 -0.3826796 1 0 0 0 0.3829373 -0.9237743 1 0 0 1 0 0 0 -0.3826796 -0.9238811 1 0 0 -4.38504e-5 0.3826807 -0.9238808 0 0.5222649 0.8527833 -4.32547e-5 0.9724336 0.2331799 0 0.9723696 0.2334464 1 0 0 -4.31991e-5 -0.2331815 0.9724333 -4.34237e-5 0.5224995 0.8526396 1 0 0 0 -0.8527835 0.5222647 1 0 0 0 -0.2334476 0.9723693 1 0 0 -4.32547e-5 -0.9724335 -0.2331803 1 0 0 -4.32991e-5 -0.8526401 0.5224986 1 0 0 0 -0.522266 -0.8527827 0 -0.9723697 -0.2334467 1 0 0 -4.29673e-5 0.2331801 -0.9724335 1 0 0 1 0 0 -4.32219e-5 -0.5224995 -0.8526396 1 0 0 0 0.8527839 -0.5222641 1 0 0 0 0.2334448 -0.9723701 1 0 0 -4.32991e-5 0.8526406 -0.522498 1 0 0 0 -0.07873213 0.9968958 1 0 0 -4.29275e-5 0.6496561 0.7602282 1 0 0 0 0.6494493 0.7604048 -4.31598e-5 -0.760227 0.6496576 -4.31406e-5 -0.07845968 0.9969173 1 0 0 0 -0.9968955 -0.07873564 1 0 0 0 -0.7604045 0.6494497 1 0 0 -4.37247e-5 -0.64966 -0.760225 -4.39748e-5 -0.9969175 -0.07845789 1 0 0 0 0.07873088 -0.996896 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.6494493 -0.7604048 1 0 0 -4.31017e-5 0.760228 -0.6496564 -4.30512e-5 0.07845896 -0.9969173 1 0 0 0 0.9968955 0.07873564 1 0 0 0 0.7604054 -0.6494488 1 0 0 1 0 0 -4.27842e-5 0.9969168 0.0784654 0 -0.64966 0.760225 1 0 0 -4.30564e-5 0.07873088 0.996896 0 0.07845896 0.9969173 1 0 0 -4.39798e-5 -0.9968955 0.07873564 -4.37195e-5 -0.6494493 0.7604048 1 0 0 0 -0.760227 -0.6496576 0 -0.9969175 0.07845789 1 0 0 -4.31455e-5 -0.07873213 -0.9968958 -4.31549e-5 -0.7604045 -0.6494497 1 0 0 0 0.6496561 -0.7602282 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.07845968 -0.9969173 1 0 0 -4.27891e-5 0.9968955 -0.07873564 1 0 0 1 0 0 -4.2921e-5 0.6494493 -0.7604048 1 0 0 0 0.760228 0.6496564 1 0 0 0 0.9969168 -0.0784654 1 0 0 -4.30969e-5 0.7604054 0.6494488 1 0 0 0 -0.9724335 0.2331803 -4.32252e-5 -0.522266 0.8527827 1 0 0 0 -0.5224995 0.8526396 1 0 0 -4.3304e-5 -0.8527835 -0.5222647 -4.32498e-5 -0.9723697 0.2334467 1 0 0 0 -0.2331815 -0.9724333 0 -0.8526401 -0.5224986 1 0 0 -4.34285e-5 0.5222649 -0.8527833 1 0 0 1 0 0 1 0 0 -4.31941e-5 -0.2334476 -0.9723693 1 0 0 0 0.9724336 -0.2331799 1 0 0 1 0 0 0 0.5224995 -0.8526396 1 0 0 -4.3304e-5 0.8527839 0.5222641 1 0 0 -4.32484e-5 0.9723696 -0.2334464 1 0 0 0 0.2331801 0.9724335 1 0 0 0 0.8526406 0.522498 1 0 0 1 0 0 -4.29624e-5 0.2334448 0.9723701 1 0 0 0 -0.9237743 -0.3829376 -4.40835e-5 -0.9237743 0.3829376 0 -0.9238811 0.3826796 1 0 0 -4.40835e-5 -0.3829376 -0.9237743 -4.40784e-5 -0.9238811 -0.3826796 1 0 0 0 0.3829373 -0.9237743 1 0 0 1 0 0 0 -0.3826796 -0.9238811 1 0 0 -4.35329e-5 0.9237747 -0.3829363 1 0 0 -4.38504e-5 0.3826807 -0.9238808 1 0 0 0 0.9237747 0.3829363 0 0.9238803 -0.3826816 1 0 0 -4.38553e-5 0.3829373 0.9237743 1 0 0 -4.35285e-5 0.9238803 0.3826816 0 -0.3829376 0.9237743 1 0 0 0 0.3826807 0.9238808 -4.40784e-5 -0.3826796 0.9238811 0 -0.5222653 -0.852783 -4.31388e-5 -0.9724338 -0.2331796 0 -0.9723699 -0.2334453 -4.32895e-5 0.2331807 -0.9724333 -4.32212e-5 -0.5224989 -0.85264 1 0 0 0 0.852783 -0.5222655 1 0 0 0 0.2334474 -0.9723694 1 0 0 -4.31243e-5 0.9724338 0.2331793 1 0 0 -4.31848e-5 0.85264 -0.5224987 1 0 0 0 0.5222662 0.8527826 0 0.97237 0.2334449 -4.30299e-5 -0.2331793 0.9724338 -4.30803e-5 0.5224989 0.85264 0 -0.8527833 0.5222648 0 -0.2334443 0.9723702 -4.31975e-5 -0.8526404 0.5224983 0 0.07873195 -0.9968959 -4.31652e-5 -0.6496559 -0.7602284 0 -0.649448 -0.760406 -4.31825e-5 0.760228 -0.6496564 -4.3143e-5 0.07845944 -0.9969173 1 0 0 0 0.9968958 0.07873207 1 0 0 0 0.7604057 -0.6494484 1 0 0 -4.32018e-5 0.6496561 0.7602282 1 0 0 -4.31727e-5 0.9969173 0.07845938 1 0 0 0 -0.07873135 0.9968959 1 0 0 1 0 0 1 0 0 1 0 0 0 0.649448 0.760406 1 0 0 -4.3096e-5 -0.7602284 0.6496558 -4.30523e-5 -0.07845944 0.9969173 1 0 0 0 -0.9968958 -0.07873159 1 0 0 0 -0.7604058 0.6494483 -4.3149e-5 -0.9969173 -0.07845902 0 0.6496561 -0.7602282 1 0 0 -4.30558e-5 -0.07873135 -0.9968959 0 -0.07845944 -0.9969173 1 0 0 -4.31776e-5 0.9968958 -0.07873207 -4.31969e-5 0.649448 -0.760406 1 0 0 0 0.760228 0.6496564 1 0 0 0 0.9969173 -0.07845938 1 0 0 -4.31479e-5 0.07873195 0.9968959 -4.31776e-5 0.7604057 0.6494484 0 -0.6496559 0.7602284 1 0 0 0 0.07845944 0.9969173 1 0 0 -4.31539e-5 -0.9968958 0.07873159 1 0 0 -4.31629e-5 -0.649448 0.760406 1 0 0 0 -0.7602284 -0.6496558 1 0 0 0 -0.9969173 0.07845902 1 0 0 -4.30912e-5 -0.7604058 -0.6494483 1 0 0 0 0.9724338 -0.2331793 1 0 0 -4.30851e-5 0.5222662 -0.8527826 0 0.5224989 -0.85264 1 0 0 -4.31896e-5 0.852783 0.5222655 1 0 0 -4.31194e-5 0.97237 -0.2334449 1 0 0 0 0.2331807 0.9724333 0 0.85264 0.5224987 -4.32262e-5 -0.5222653 0.852783 -4.32846e-5 0.2334474 0.9723694 0 -0.9724338 0.2331796 0 -0.5224989 0.85264 -4.32023e-5 -0.8527833 -0.5222648 -4.31333e-5 -0.9723699 0.2334453 0 -0.2331793 -0.9724338 0 -0.8526404 -0.5224983 -4.3025e-5 -0.2334443 -0.9723702 1 0 0 0 0.9237747 0.3829363 1 0 0 -4.35785e-5 0.9237747 -0.3829363 1 0 0 1 0 0 0 0.9238805 -0.3826813 1 0 0 -4.39654e-5 0.3829373 0.9237743 1 0 0 -4.35734e-5 0.9238805 0.3826813 1 0 0 0 -0.3829376 0.9237743 1 0 0 1 0 0 0 0.3826801 0.923881 1 0 0 -4.41292e-5 -0.9237743 0.3829376 1 0 0 1 0 0 -4.41886e-5 -0.3826789 0.9238814 1 0 0 0 -0.9237743 -0.3829376 1 0 0 1 0 0 0 -0.9238812 0.3826794 1 0 0 -4.41937e-5 -0.3829376 -0.9237743 1 0 0 -4.41244e-5 -0.9238812 -0.3826794 1 0 0 0 0.3829373 -0.9237743 1 0 0 1 0 0 0 -0.3826789 -0.9238814 1 0 0 -4.39605e-5 0.3826801 -0.923881 0 0.6881538 0.7255648 -4.34345e-5 0.9996646 0.02589625 0 0.9996575 0.02617132 -4.34343e-5 -0.02590382 0.9996644 -4.29815e-5 0.6883514 0.7253774 1 0 0 0 -0.7255613 0.6881576 1 0 0 0 -0.02617889 0.9996572 1 0 0 -4.34343e-5 -0.9996645 -0.02590376 -4.29814e-5 -0.7253738 0.6883552 1 0 0 0 -0.6881616 -0.7255575 1 0 0 0 -0.9996573 -0.02617883 1 0 0 -4.3196e-5 0.02590531 -0.9996644 1 0 0 1 0 0 -4.28088e-5 -0.6883583 -0.7253708 1 0 0 0 0.7255656 -0.688153 1 0 0 0 0.02617883 -0.9996573 1 0 0 -4.29815e-5 0.7253781 -0.6883506 1 0 0 0 0.3335518 0.9427317 1 0 0 -4.26148e-5 0.9027035 0.4302631 1 0 0 0 0.9025874 0.4305068 -4.27786e-5 -0.430269 0.9027007 1 0 0 -4.28043e-5 0.3338075 0.9426413 1 0 0 0 -0.9427345 0.333544 0 -0.4305136 0.9025841 1 0 0 -4.39061e-5 -0.9027021 -0.430266 1 0 0 -4.38883e-5 -0.9426417 0.3338061 1 0 0 0 -0.3335523 -0.9427316 0 -0.9025824 -0.4305171 -4.22658e-5 0.4302657 -0.9027022 -4.31986e-5 -0.3338103 -0.9426403 1 0 0 0 0.9427316 -0.333552 0 0.4305074 -0.902587 1 0 0 -4.25398e-5 0.9426417 -0.3338061 1 0 0 0 -0.972433 0.2331822 -4.3304e-5 -0.522265 0.8527832 0 -0.522499 0.8526399 1 0 0 -4.34284e-5 -0.8527797 -0.522271 -4.31941e-5 -0.9723691 0.2334483 1 0 0 0 -0.2331808 -0.9724335 1 0 0 0 -0.8526358 -0.5225055 1 0 0 -4.3304e-5 0.5222644 -0.8527836 1 0 0 1 0 0 1 0 0 -4.32498e-5 -0.2334473 -0.9723694 1 0 0 0 0.9724338 -0.2331791 1 0 0 0 0.5224983 -0.8526403 1 0 0 -4.26814e-5 0.8527836 0.5222644 1 0 0 -4.35288e-5 0.9723694 -0.2334473 1 0 0 0 0.2331716 0.9724356 1 0 0 0 0.8526424 0.5224949 -4.325e-5 0.233438 0.9723716 1 0 0 0 -0.983205 -0.1825043 1 0 0 -4.43056e-5 -0.8239689 0.5666351 0 -0.8241278 0.5664038 1 0 0 -4.3495e-5 -0.5666348 -0.8239691 1 0 0 -4.27564e-5 -0.9832545 -0.182238 1 0 0 0 0.1825118 -0.9832036 1 0 0 1 0 0 1 0 0 0 -0.5664077 -0.8241252 1 0 0 -4.33233e-5 0.82397 -0.5666335 1 0 0 -4.39457e-5 0.1822381 -0.9832544 1 0 0 0 0.9832051 0.1825039 1 0 0 0 0.8241255 -0.5664074 1 0 0 -4.25802e-5 0.56663 0.8239724 1 0 0 -4.26584e-5 0.9832544 0.1822382 1 0 0 0 -0.1825044 0.9832051 1 0 0 0 0.5664077 0.8241252 -4.41628e-5 -0.1822293 0.9832561 0 -0.8239689 -0.5666351 -4.30128e-5 -0.9832051 0.1825043 0 -0.9832547 0.1822364 -4.40158e-5 -0.1825125 -0.9832035 -4.36129e-5 -0.8241255 -0.5664074 1 0 0 0 0.5666354 -0.8239685 1 0 0 1 0 0 0 -0.1822383 -0.9832544 1 0 0 -4.34061e-5 0.983205 -0.1825047 1 0 0 -4.38617e-5 0.5664065 -0.8241261 1 0 0 0 0.8239719 0.5666308 1 0 0 1 0 0 0 0.9832551 -0.1822343 1 0 0 -4.40048e-5 0.1825037 0.9832053 -4.35638e-5 0.8241282 0.5664033 0 -0.5666301 0.8239722 0 0.1822296 0.983256 -4.2778e-5 -0.5664069 0.8241258 0 -0.5222645 -0.8527835 -4.34023e-5 -0.9724338 -0.2331789 0 -0.9723697 -0.2334463 -4.32617e-5 0.23318 -0.9724336 -4.32835e-5 -0.5224984 -0.8526403 1 0 0 0 0.8527832 -0.5222652 0 0.2334465 -0.9723696 1 0 0 -4.30832e-5 0.9724335 0.2331804 1 0 0 -4.3322e-5 0.8526398 -0.5224993 1 0 0 0 0.5222647 0.8527833 0 0.9723698 0.2334458 -4.32896e-5 -0.2331727 0.9724354 -4.32219e-5 0.5224983 0.8526403 0 -0.8527832 0.5222652 0 -0.2334393 0.9723714 -4.2562e-5 -0.8526423 0.5224952 0 0.9027023 -0.4302658 -4.27693e-5 0.3335521 -0.9427316 0 0.3338076 -0.9426413 1 0 0 -4.31066e-5 0.9427329 0.3335487 -4.3148e-5 0.9025846 -0.4305125 1 0 0 0 0.4302706 0.9027 0 0.9426417 0.3338061 -4.27693e-5 -0.333552 0.9427316 1 0 0 1 0 0 1 0 0 -4.28251e-5 0.4305155 0.9025832 0 -0.9027037 0.4302628 0 -0.3338075 0.9426413 -4.31065e-5 -0.9427326 -0.3335494 -4.31509e-5 -0.9025861 0.4305096 0 -0.4302646 -0.9027028 0 -0.9426416 -0.3338068 -4.28252e-5 -0.4305095 -0.9025861 1 0 0 0 0.9996645 -0.02590358 1 0 0 -4.31723e-5 0.6881589 -0.72556 0 0.6883574 -0.7253717 1 0 0 -4.27904e-5 0.72556 0.6881589 -4.31596e-5 0.9996573 -0.02617692 1 0 0 0 0.02590382 0.9996645 0 0.7253734 0.6883556 -4.33556e-5 -0.6881549 0.7255638 -4.34155e-5 0.02617877 0.9996572 0 -0.9996644 0.02590286 0 -0.6883541 0.7253748 -4.28135e-5 -0.7255638 -0.6881549 -4.31914e-5 -0.9996573 0.02617645 0 -0.02590537 -0.9996644 0 -0.7253772 -0.6883517 -4.31776e-5 -0.02617877 -0.9996573 1 0 0 0 0.9237747 0.3829363 1 0 0 -4.35785e-5 0.9237747 -0.3829363 1 0 0 1 0 0 0 0.9238805 -0.3826813 1 0 0 -4.39654e-5 0.3829373 0.9237743 1 0 0 -4.35734e-5 0.9238805 0.3826813 1 0 0 0 -0.3829376 0.9237743 1 0 0 1 0 0 0 0.3826801 0.923881 1 0 0 -4.41292e-5 -0.9237743 0.3829376 1 0 0 -4.41886e-5 -0.3826789 0.9238814 1 0 0 0 -0.9237743 -0.3829376 1 0 0 0 -0.9238812 0.3826794 1 0 0 -4.41937e-5 -0.3829376 -0.9237743 1 0 0 -4.41244e-5 -0.9238812 -0.3826794 1 0 0 0 0.3829373 -0.9237743 1 0 0 1 0 0 0 -0.3826789 -0.9238814 -4.39605e-5 0.3826801 -0.923881 0 0.7602239 0.6496611 -4.27889e-5 0.9968961 -0.07872766 0 0.9969175 -0.07845747 -4.39962e-5 0.07873588 0.9968955 -4.38782e-5 0.7604045 0.6494498 1 0 0 0 -0.6496574 0.7602271 1 0 0 0 0.07845801 0.9969174 1 0 0 -4.28077e-5 -0.996896 0.07872837 -4.3104e-5 -0.6494498 0.7604045 1 0 0 0 -0.7602316 -0.6496522 1 0 0 0 -0.9969174 0.07845801 1 0 0 -4.26952e-5 -0.07873517 -0.9968956 -4.20184e-5 -0.7604045 -0.6494498 1 0 0 0 0.6496565 -0.7602279 1 0 0 1 0 0 0 -0.07846552 -0.9969168 -4.29227e-5 0.6494498 -0.7604045 1 0 0 0 0.5222644 0.8527836 1 0 0 -4.32548e-5 0.9724339 0.2331787 1 0 0 0 0.97237 0.2334452 -4.32547e-5 -0.2331808 0.9724335 1 0 0 -4.32991e-5 0.5224983 0.8526403 1 0 0 0 -0.8527797 0.522271 0 -0.2334473 0.9723694 1 0 0 -4.20955e-5 -0.972433 -0.2331822 1 0 0 -4.22827e-5 -0.8526397 0.5224994 1 0 0 0 -0.5222716 -0.8527792 0 -0.9723708 -0.2334415 -4.35327e-5 0.2331802 -0.9724335 -4.26787e-5 -0.5225021 -0.852638 0 0.8527832 -0.522265 0 0.2334483 -0.9723691 -4.32991e-5 0.8526399 -0.522499 1 0 0 0 -0.972433 0.2331822 -4.26813e-5 -0.5222716 0.8527792 0 -0.5225021 0.852638 1 0 0 -4.22873e-5 -0.8527797 -0.522271 -4.20907e-5 -0.9723708 0.2334415 1 0 0 0 -0.2331808 -0.9724335 0 -0.8526397 -0.5224994 1 0 0 -4.3304e-5 0.5222644 -0.8527836 1 0 0 1 0 0 1 0 0 1 0 0 -4.32498e-5 -0.2334473 -0.9723694 1 0 0 0 0.9724339 -0.2331787 1 0 0 0 0.5224983 -0.8526403 -4.3304e-5 0.8527832 0.522265 -4.32511e-5 0.97237 -0.2334452 0 0.2331802 0.9724335 0 0.8526399 0.522499 -4.35281e-5 0.2334483 0.9723691 1 0 0 0 -0.996896 -0.07872837 1 0 0 -4.20211e-5 -0.7602316 0.6496522 0 -0.7604045 0.6494498 1 0 0 -4.31087e-5 -0.6496574 -0.7602271 -4.28028e-5 -0.9969174 -0.07845801 1 0 0 0 0.07873588 -0.9968955 1 0 0 1 0 0 0 -0.6494498 -0.7604045 1 0 0 -4.38833e-5 0.7602239 -0.6496611 -4.39912e-5 0.07845801 -0.9969174 1 0 0 0 0.9968961 0.07872766 1 0 0 1 0 0 0 0.7604045 -0.6494498 1 0 0 -4.29275e-5 0.6496565 0.7602279 1 0 0 1 0 0 -4.27843e-5 0.9969175 0.07845747 0 -0.07873517 0.9968956 1 0 0 0 0.6494498 0.7604045 -4.26907e-5 -0.07846552 0.9969168 0 -0.9237743 -0.3829376 -4.41292e-5 -0.9237743 0.3829376 0 -0.9238812 0.3826794 1 0 0 -4.41937e-5 -0.3829376 -0.9237743 -4.4124e-5 -0.9238812 -0.3826794 1 0 0 0 0.3829373 -0.9237743 1 0 0 1 0 0 0 -0.3826789 -0.9238814 1 0 0 -4.35785e-5 0.9237747 -0.3829363 1 0 0 -4.39605e-5 0.3826801 -0.923881 1 0 0 0 0.9237747 0.3829363 1 0 0 0 0.9238805 -0.3826813 1 0 0 -4.39654e-5 0.3829373 0.9237743 1 0 0 -4.35698e-5 0.9238805 0.3826813 0 -0.3829376 0.9237743 0 0.3826801 0.923881 -4.41886e-5 -0.3826789 0.9238814 0 -0.7602253 -0.6496595 -4.31752e-5 -0.996896 0.07873088 0 -0.9969174 0.07845818 -4.39704e-5 -0.07873564 -0.9968956 -4.36289e-5 -0.7604048 -0.6494493 1 0 0 0 0.6496573 -0.7602273 1 0 0 0 -0.07845795 -0.9969174 1 0 0 -4.31736e-5 0.9968959 -0.07873183 -4.33423e-5 0.6494485 -0.7604056 1 0 0 0 0.7602283 0.6496561 1 0 0 0 0.9969173 -0.0784592 1 0 0 -4.27885e-5 0.0787357 0.9968956 -4.29152e-5 0.7604048 0.6494492 0 -0.6496564 0.760228 0 0.07846546 0.9969168 -4.31743e-5 -0.6494484 0.7604057 0 -0.5222645 -0.8527835 -4.31389e-5 -0.9724342 -0.2331777 0 -0.9723705 -0.2334434 -4.32964e-5 0.2331798 -0.9724336 -4.32057e-5 -0.522498 -0.8526406 1 0 0 0 0.8527833 -0.5222649 0 0.2334465 -0.9723696 1 0 0 -4.31388e-5 0.9724335 0.2331801 1 0 0 -4.31975e-5 0.8526403 -0.5224983 1 0 0 0 0.522271 0.8527797 0 0.9723698 0.2334458 -4.32825e-5 -0.2331814 0.9724332 -4.32334e-5 0.5225045 0.8526365 0 -0.8527827 0.5222659 0 -0.2334481 0.9723693 -4.31975e-5 -0.8526398 0.5224993 1 0 0 0 0.9724335 -0.2331801 -4.32416e-5 0.522271 -0.8527797 0 0.5225045 -0.8526365 1 0 0 -4.32023e-5 0.8527833 0.5222649 -4.31339e-5 0.9723698 -0.2334458 1 0 0 0 0.2331798 0.9724336 0 0.8526403 0.5224983 -4.32106e-5 -0.5222645 0.8527835 1 0 0 1 0 0 -4.32916e-5 0.2334465 0.9723696 0 -0.9724342 0.2331777 0 -0.522498 0.8526406 -4.32023e-5 -0.8527827 -0.5222659 -4.31331e-5 -0.9723705 0.2334434 0 -0.2331814 -0.9724332 0 -0.8526398 -0.5224993 -4.32776e-5 -0.2334481 -0.9723693 1 0 0 0 0.9968959 0.07873183 1 0 0 -4.29218e-5 0.7602283 -0.6496561 0 0.7604048 -0.6494492 1 0 0 -4.33471e-5 0.6496573 0.7602273 -4.31686e-5 0.9969173 0.0784592 0 -0.07873564 0.9968956 0 0.6494485 0.7604056 -4.3634e-5 -0.7602253 0.6496595 -4.39655e-5 -0.07845795 0.9969174 0 -0.996896 -0.07873088 0 -0.7604048 0.6494493 -4.31792e-5 -0.6496564 -0.760228 -4.317e-5 -0.9969174 -0.07845818 0 0.0787357 -0.9968956 0 -0.6494484 -0.7604057 -4.27836e-5 0.07846546 -0.9969168 0.7071068 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 0.7071068 0.7071068 0 0.7071068 0.7071068 0 0.7071068 0.7071068 0 0.7071068 0 0 -1 0 0 -1 0 0 1 0 0 1 0.8383033 -0.503704 0.2086385 0.8383033 -0.503704 -0.2086385 0.8383033 -0.2086385 0.503704 0.8383032 0.2086392 0.5037038 0.8383029 0.503704 0.2086398 0.8383029 0.503704 -0.2086398 0.8383032 0.2086392 -0.5037038 0.8383033 -0.2086385 -0.503704 0.8383015 -0.5301426 -0.1272767 0.8383018 -0.2848702 -0.4648647 0.8383021 -0.4648645 0.2848693 0.8383032 -0.1272766 0.53014 0.8383038 0.2848685 0.4648621 0.8383036 0.5301396 0.1272758 0.8383033 0.4648632 -0.284868 0.8383027 0.1272752 -0.5301411 0.8383029 -0.3540829 -0.4145764 0.8383029 0.04277616 -0.5435242 0.8383026 -0.5435247 -0.04277563 0.8383024 -0.4145767 0.3540835 0.8383029 -0.04277658 0.543524 0.838303 0.3540828 0.4145762 0.8383034 0.5435232 0.04277962 0.8383037 0.4145758 -0.3540818 0.8383029 -0.04277658 -0.543524 0.838303 0.3540828 -0.4145763 0.8383025 -0.4145767 -0.3540835 0.8383026 -0.5435247 0.04277563 0.8383029 -0.3540829 0.4145764 0.8383029 0.04277616 0.5435242 0.8383037 0.4145758 0.3540818 0.8383034 0.5435232 -0.04277962 0.8383038 0.2848685 -0.4648621 0.8383036 0.5301396 -0.1272758 0.8383032 -0.1272767 -0.5301401 0.8383021 -0.4648645 -0.2848693 0.8383015 -0.5301426 0.1272767 0.8383018 -0.2848702 0.4648647 0.8383027 0.1272752 0.5301411 0.8383033 0.4648632 0.284868 0.8383029 0.503704 -0.2086398 0.8383029 0.503704 0.2086398 0.8383032 0.2086392 -0.5037038 0.8383033 -0.2086385 -0.503704 0.8383033 -0.503704 -0.2086385 0.8383033 -0.503704 0.2086385 0.8383033 -0.2086385 0.503704 0.8383032 0.2086392 0.5037038 0.8383027 0.5301411 0.1272754 0.8383024 0.2848693 0.464864 0.8383029 0.4648633 -0.2848687 0.8383033 0.1272764 -0.5301398 0.8383035 -0.2848684 -0.4648627 0.838303 -0.5301405 -0.1272754 0.8383027 -0.4648638 0.2848687 0.8383026 -0.1272751 0.5301415 0.8383029 0.3540822 0.414577 0.8383029 -0.04277646 0.5435243 0.838303 0.5435241 0.0427764 0.838303 0.4145767 -0.3540822 0.8383029 0.04277646 -0.543524 0.838303 -0.3540822 -0.414577 0.8383028 -0.5435242 -0.04277622 0.8383028 -0.414577 0.3540825 0.8383029 0.04277646 0.543524 0.8383029 -0.3540822 0.414577 0.838303 0.4145766 0.3540822 0.838303 0.5435241 -0.0427764 0.8383029 0.3540822 -0.414577 0.8383028 -0.04277646 -0.5435242 0.8383028 -0.414577 -0.3540825 0.8383028 -0.5435242 0.04277622 0.8383035 -0.2848684 0.4648627 0.8383031 -0.5301405 0.1272755 0.8383033 0.1272764 0.5301398 0.8383029 0.4648633 0.2848687 0.8383027 0.5301411 -0.1272754 0.8383024 0.2848693 -0.464864 0.8383025 -0.1272751 -0.5301415 0.8383027 -0.4648638 -0.2848687 0.8383033 -0.503704 0.2086383 0.8383033 -0.503704 -0.2086383 0.8383033 -0.2086381 0.503704 0.8383032 0.2086387 0.5037038 0.8383029 0.503704 0.2086396 0.8383029 0.503704 -0.2086396 0.8383032 0.2086387 -0.5037038 0.8383033 -0.2086381 -0.503704 0.8383014 -0.5450203 -0.01427286 0.8383016 -0.3752976 -0.3954771 0.8383023 -0.3954781 0.3752953 0.8383032 -0.0142728 0.5450175 0.8383041 0.3752912 0.3954778 0.8383041 0.5450163 0.01426869 0.8383029 0.3954796 -0.375292 0.838303 0.0142728 -0.5450178 0.8383026 -0.4920925 -0.2347201 0.838303 -0.1819949 -0.5139319 0.8383027 -0.513933 0.1819927 0.8383025 -0.2347183 0.4920937 0.8383034 0.1819932 0.5139319 0.8383032 0.4920945 0.2347141 0.8383033 0.5139322 -0.1819925 0.8383032 0.2347145 -0.4920944 0.8383035 0.284868 -0.4648628 0.8383036 0.5301393 -0.1272763 0.838303 -0.1272765 -0.5301403 0.8383029 -0.4648612 -0.2848725 0.8383032 -0.53014 0.127277 0.8383024 -0.2848693 0.4648641 0.8383027 0.1272715 0.5301418 0.8383033 0.4648641 0.2848663 0.8383028 0.4493172 -0.3088081 0.8383019 0.5360765 0.09935742 0.8383036 0.09935688 -0.536074 0.8383042 -0.3088071 -0.4493154 0.8383038 -0.5360738 -0.09935677 0.8383036 -0.4493175 0.3088054 0.838303 -0.0993523 0.5360758 0.8383017 0.3088092 0.4493184 0.838303 0.5360752 -0.09935498 0.8383028 0.4493187 0.3088059 0.8383038 0.3088067 -0.4493162 0.8383038 -0.09935694 -0.5360738 0.8383033 -0.4493166 -0.3088076 0.8383027 -0.5360755 0.09935623 0.8383022 -0.3088083 0.4493182 0.8383028 0.09935247 0.536076 0.8383028 0.5301408 0.1272758 0.8383023 0.2848691 0.4648645 0.8383031 0.464863 -0.2848689 0.8383031 0.127276 -0.5301402 0.8383032 -0.2848682 -0.4648631 0.8383031 -0.5301403 -0.127276 0.8383027 -0.4648648 0.2848669 0.8383027 -0.1272723 0.5301418 0.838303 -0.1819933 0.5139324 0.8383027 -0.4920945 0.234716 0.8383027 0.2347192 0.492093 0.8383027 0.5139331 0.1819928 0.8383032 0.4920931 -0.2347173 0.8383031 0.1819934 -0.5139322 0.8383033 -0.2347156 -0.4920937 0.838303 -0.5139326 -0.181993 0.8383035 -0.3752934 0.3954772 0.8383031 -0.5450178 0.01427149 0.8383032 0.01427274 0.5450174 0.8383031 0.3954769 0.3752946 0.8383027 0.5450181 -0.01427179 0.8383026 0.3752961 -0.3954765 0.838303 -0.0142728 -0.5450179 0.8383024 -0.3954796 -0.3752931 0.8383033 -0.503704 0.2086383 0.8383033 -0.503704 -0.2086383 0.8383033 -0.2086381 0.503704 0.8383032 0.2086387 0.5037038 0.8383029 0.503704 0.2086396 0.8383029 0.503704 -0.2086396 0.8383032 0.2086387 -0.5037038 0.8383033 -0.2086381 -0.503704 0.8383026 -0.5435247 0.04277575 0.8383025 -0.4145766 -0.3540835 0.8383025 -0.3540834 0.4145765 0.8383026 0.04277575 0.5435247 0.8383025 0.4145765 0.3540834 0.8383026 0.5435246 -0.04277539 0.8383038 0.3540823 -0.4145752 0.8383032 -0.04277974 -0.5435232 0.8383024 -0.530142 -0.1272736 0.8383026 -0.284871 -0.4648628 0.8383024 -0.4648641 0.2848696 0.8383033 -0.1272764 0.5301399 0.8383038 0.2848678 0.4648625 0.8383035 0.5301398 0.1272752 0.8383037 0.4648624 -0.2848682 0.8383035 0.1272769 -0.5301393 0.8383038 0.2848678 -0.4648625 0.8383035 0.5301399 -0.1272752 0.8383033 -0.1272764 -0.5301399 0.8383023 -0.464864 -0.2848696 0.8383023 -0.530142 0.1272736 0.8383026 -0.2848711 0.4648628 0.8383035 0.1272769 0.5301395 0.8383037 0.4648623 0.2848682 0.8383025 0.4145765 -0.3540834 0.8383026 0.5435246 0.04277539 0.8383026 0.04277575 -0.5435247 0.8383025 -0.3540834 -0.4145765 0.8383026 -0.5435247 -0.04277575 0.8383025 -0.4145765 0.3540834 0.8383033 -0.04277974 0.5435232 0.8383038 0.3540823 0.4145752 0.8383029 0.503704 -0.2086396 0.8383029 0.503704 0.2086396 0.8383032 0.2086387 -0.5037038 0.8383033 -0.2086381 -0.503704 0.8383033 -0.503704 -0.2086383 0.8383033 -0.503704 0.2086383 0.8383033 -0.2086381 0.503704 0.8383032 0.2086387 0.5037038 0.8383027 0.5435242 -0.04277628 0.8383029 0.4145763 0.3540828 0.8383025 0.3540828 -0.4145773 0.8383026 -0.04277569 -0.5435247 0.8383029 -0.4145764 -0.3540829 0.8383029 -0.5435241 0.04277575 0.8383037 -0.3540816 0.4145759 0.8383033 0.04277968 0.5435231 0.8383028 0.5301409 0.1272758 0.8383027 0.2848721 0.4648617 0.8383031 0.4648633 -0.2848683 0.8383035 0.1272759 -0.5301398 0.8383036 -0.2848678 -0.4648629 0.838303 -0.5301408 -0.1272744 0.838303 -0.4648631 0.2848689 0.8383034 -0.1272768 0.5301398 0.8383036 -0.2848678 0.4648629 0.838303 -0.5301409 0.1272745 0.8383035 0.1272759 0.5301397 0.8383031 0.4648633 0.2848683 0.8383028 0.5301409 -0.1272758 0.8383027 0.2848721 -0.4648617 0.8383033 -0.1272768 -0.5301398 0.8383031 -0.4648631 -0.2848689 0.8383029 -0.4145764 0.3540829 0.8383029 -0.5435241 -0.0427758 0.8383026 -0.04277569 0.5435247 0.8383025 0.3540828 0.4145773 0.8383028 0.5435242 0.04277628 0.8383029 0.4145764 -0.3540828 0.8383033 0.04277968 -0.5435231 0.8383038 -0.3540816 -0.4145759 -1 0 0 0 0.6118526 0.7909719 -1 0 0 0 0.6118526 0.7909719 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 0.853847 0.5205242 -1 0 0 0 0.853847 0.5205242 -1 0 0 0 0.9833841 0.1815371 -1 0 0 0 0.9833841 0.1815371 0 0.9833985 -0.181459 0 0.9833985 -0.181459 0 0.8538776 -0.520474 0 0.8538776 -0.520474 0 0.6118711 -0.7909574 0 0.6118711 -0.7909574 0 0 -1 0 0 -1 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 1 0 0 1 0 0 0 -0.6118686 0.7909594 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 -0.6118686 0.7909594 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -0.8538766 0.5204756 1 0 0 1 0 0 0 -0.8538766 0.5204756 1 0 0 0 -0.9834015 0.1814428 0 -0.9834015 0.1814428 0 -0.9833819 -0.1815491 0 -0.9833819 -0.1815491 0 -0.853849 -0.5205208 0 -0.853849 -0.5205208 0 -0.6118575 -0.790968 0 -0.6118575 -0.790968 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9807853 -0.1950901 0 -0.9807853 0.1950901 0 -0.9807853 0.1950901 0 -0.8314695 -0.5555703 0 -0.9807853 -0.1950901 0 -0.5555701 -0.8314698 0 -0.8314695 -0.5555703 0 -0.1950902 -0.9807853 0 -0.5555701 -0.8314698 0 0.1950898 -0.9807853 0 -0.1950902 -0.9807853 0 0.5555719 -0.8314685 0 0.1950898 -0.9807853 0 0.8314682 -0.5555723 0 0.5555719 -0.8314685 0 0.9807855 -0.1950892 0 0.8314682 -0.5555723 0 0.9807855 0.1950892 0 0.9807855 -0.1950892 0 0.8314682 0.5555723 0 0.9807855 0.1950892 0 0.5555719 0.8314685 0 0.8314682 0.5555723 0 0.1950898 0.9807853 0 0.5555719 0.8314685 0 -0.1950902 0.9807853 0 0.1950898 0.9807853 0 -0.5555701 0.8314698 0 -0.1950902 0.9807853 0 -0.8314695 0.5555703 0 -0.5555701 0.8314698 0 -0.8314695 0.5555703 -4.09589e-4 -0.9516479 -0.3071905 0.6893768 -0.6893768 -0.2225297 0 -0.9510524 -0.3090296 0 -0.951614 0.307296 0.6893724 -0.6893724 0.2225563 0.6891732 -0.6895362 0.2226656 1.93131e-4 -0.709326 -0.7048805 0.7025925 -0.5047511 -0.5015877 0.6892884 -0.6894639 -0.2225328 0.7029474 -0.5046392 -0.501203 -8.02817e-5 -0.4556658 -0.8901509 0.7027833 -0.3241626 -0.633257 -0.01679116 -0.5876994 -0.8089051 0.7027857 -0.3241626 -0.6332541 7.20701e-5 -0.157136 -0.9875769 0.7026704 -0.1118047 -0.7026762 6.0588e-5 0.1569248 -0.9876106 0.702758 0.1116409 -0.7026148 -0.01677113 0 -0.9998594 0.7028225 -0.1116989 -0.7025409 -0.03285616 0.4552299 -0.8897675 0.7027286 0.3240519 -0.6333742 -1.30913e-4 0.5877815 -0.8090197 0.7027257 0.1116284 -0.7026492 1.81577e-4 0.7091745 -0.705033 0.7025448 0.5046766 -0.5017294 0.702848 0.3240564 -0.6332395 0 0.951614 -0.307296 0.6891732 0.6895362 -0.2226656 -3.83908e-4 0.9510524 -0.3090292 0.703001 0.5045329 -0.5012347 0 0.9510525 0.3090292 0.6893724 0.6893724 -0.2225563 0.6893768 0.6893768 0.2225292 -4.09668e-4 0.9516481 0.3071898 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -3.83982e-4 -0.9510523 0.3090296 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.703001 -0.5045337 0.5012336 1 0 0 1 0 0 0.7028455 -0.3240571 0.6332419 1 0 0 0.702541 -0.5046787 0.5017327 1 0 0 0.7027251 -0.1116284 0.7026498 0.702727 -0.3240527 0.6333755 0.7028226 0.1116988 0.702541 0.702758 -0.111641 0.7026147 0.7027831 0.3241635 0.6332567 0.7027835 0.3241636 0.6332563 0.7026705 0.1118046 0.7026761 0.7029484 0.5046389 0.5012018 0.7025886 0.5047523 0.501592 0.6892897 0.6894629 0.2225323 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1.9308e-4 0.7093239 0.7048827 -8.04315e-5 0.4556674 0.8901501 -0.01679098 0.5876987 0.8089057 7.20176e-5 0.1571359 0.987577 6.06478e-5 -0.156925 0.9876106 -0.01677113 0 0.9998594 -0.0328561 -0.45523 0.8897675 -1.30685e-4 -0.5877822 0.8090192 1.81521e-4 -0.7091736 0.7050338 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.700445 -0.700445 -0.1369435 -1 0 0 -1 0 0 -0.249417 -0.9504058 0.1857956 -0.6894695 -0.6894695 0.2219542 -1 0 0 -0.7594191 -0.5429647 -0.3584299 -1 0 0 -0.4778832 -0.8361552 -0.2692066 -1 0 0 -0.7594562 -0.363219 -0.5397204 -1 0 0 -0.6586493 -0.5343428 -0.5297725 -1 0 0 -0.7414908 -0.1316112 -0.6579286 -0.670516 -0.3384333 -0.6602054 -0.7002347 0.1400671 -0.7000377 -0.7027495 -0.1118701 -0.7025868 -0.7594544 0.3632442 -0.5397063 -0.6705248 0.3384749 -0.6601753 -0.7480844 0.1043921 -0.6553412 -0.759419 0.5429795 -0.3584076 -0.6586477 0.5343785 -0.5297384 -0.2494086 0.9504084 -0.1857931 -1 0 0 -0.7004448 0.7004448 0.1369453 -0.6894696 0.6894696 -0.2219532 -1 0 0 -0.7594202 0.5429651 0.3584272 -1 0 0 -0.477891 0.8361514 0.2692046 -1 0 0 -0.759455 0.3632193 0.5397222 -1 0 0 -0.6586473 0.534343 0.5297749 -1 0 0 -0.7414908 0.1316112 0.6579286 -0.6705158 0.3384338 0.6602054 -0.7002347 -0.1400669 0.7000376 -0.7027495 0.1118701 0.7025868 -0.7594552 -0.3632444 0.5397049 -0.6705227 -0.3384743 0.6601777 -0.7480835 -0.1043926 0.655342 -0.7594187 -0.5429804 0.3584071 -0.6586484 -0.5343796 0.5297365 0 -0.9518817 -0.3064656 0 -0.9807853 0.1950901 -0.02634882 -0.9515616 0.3063269 -0.04138219 -0.9799452 -0.194923 1 0 0 1 0 0 1 0 0 0.01096403 -0.8314195 -0.555537 1 0 0 1 0 0 0.01077097 -0.5555379 -0.8314214 1 0 0 -0.007335007 -0.7101182 -0.7040444 1 0 0 1 0 0 0.007108509 -0.1950853 -0.9807605 1 0 0 1 0 0 -0.005385458 -0.4561675 -0.8898776 0.00710386 0.1950849 -0.9807605 3.14327e-6 0.1573109 -0.9875492 -3.14035e-6 -0.1572452 -0.9875596 0.01076924 0.5555397 -0.8314203 -0.005382299 0.4562284 -0.8898465 0.01096588 0.8314182 -0.555539 1 0 0 -0.00733447 0.7101643 -0.7039978 1 0 0 0 0.9807855 -0.1950892 1 0 0 -0.02634871 0.9515621 -0.3063257 0 0.951882 0.3064648 1 0 0 -0.04138225 0.9799453 0.194922 1 0 0 1 0 0 0.01096534 -0.8314195 0.555537 1 0 0 0.0107693 -0.5555379 0.8314214 1 0 0 1 0 0 -0.007334887 -0.7101662 0.7039958 1 0 0 0.0071038 -0.1950853 0.9807605 -0.005382299 -0.4562265 0.8898475 0.00710839 0.1950849 0.9807605 3.14105e-6 -0.1573115 0.9875491 -3.14035e-6 0.1572452 0.9875596 1 0 0 0.01077085 0.5555397 0.8314203 -0.005385637 0.4561681 0.8898773 1 0 0 0.01096445 0.8314182 0.555539 1 0 0 -0.007334649 0.7101167 0.7040458 1 0 0 0 -0.9238796 -0.3826835 0 -0.9238796 0.3826835 0 -0.9238796 0.3826835 0 -0.3826835 -0.9238796 0 -0.9238796 -0.3826835 0 0.382683 -0.9238796 0 -0.3826835 -0.9238796 0 0.9238799 -0.3826826 0 0.382683 -0.9238796 0 0.9238799 0.3826826 0 0.9238799 -0.3826826 0 0.382683 0.9238796 0 0.9238799 0.3826826 0 -0.3826835 0.9238796 0 0.382683 0.9238796 0 -0.3826835 0.9238796 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.9510684 0.3089805 -4.71876e-6 -0.9510684 -0.3089805 0 -0.9510568 -0.3090161 1.05035e-5 -0.5878367 0.8089796 -4.71784e-6 -0.9510568 0.3090161 1.00327e-5 0 1 2.46619e-6 -0.5877852 0.8090171 2.3532e-6 0.5878366 0.8089798 1.00327e-5 0 1 -4.90017e-6 0.9510686 0.3089799 1.03928e-5 0.587785 0.8090172 0 0.9510686 -0.3089799 0 0.9510566 0.3090168 1.03914e-5 0.5878366 -0.8089798 -4.89851e-6 0.9510566 -0.3090168 1.00327e-5 0 -1 2.35408e-6 0.587785 -0.8090171 2.46532e-6 -0.5878367 -0.8089796 1.00327e-5 0 -1 1.05049e-5 -0.5877852 -0.8090171 -0.8454114 0.5079743 0.1650508 -0.8454114 0.5079743 -0.1650508 -0.8454113 0.3139452 0.4321088 -0.8454114 0 0.5341157 -0.8454114 -0.3139452 0.4321087 -0.8454115 -0.5079743 0.1650503 -0.8454115 -0.5079743 -0.1650503 -0.8454114 -0.3139452 -0.4321087 -0.8454114 0 -0.5341157 -0.8454113 0.3139452 -0.4321088 0.9824631 0.1836241 -0.03237754 0.9824631 0.1836241 0.03237754 0.9824633 0.1614762 -0.09322839 0.9824632 0.1198521 -0.142834 0.9824633 0.0637719 -0.175212 0.9824631 0 -0.1864567 0.9824631 -0.0637719 -0.175212 0.9824633 -0.119852 -0.1428341 0.9824633 -0.1614763 -0.09322834 0.9824632 -0.183624 -0.03237789 0.9824632 -0.183624 0.03237789 0.9824633 -0.1614763 0.09322834 0.9824633 -0.119852 0.1428341 0.9824631 -0.0637719 0.175212 0.9824631 0 0.1864567 0.9824632 0.0637719 0.175212 0.9824632 0.1198521 0.142834 0.9824633 0.1614762 0.09322839 0.8465262 0.5242597 -0.09244018 0.8465261 0.5242596 0.09244114 0.8465259 0.5242602 0.0924403 0.846526 0.4610264 -0.2661738 0.846526 0.5242599 -0.0924412 0.8465263 0.3421865 -0.4078012 0.8465262 0.4610265 -0.2661729 0.846526 0.1820734 -0.5002431 0.846526 0.342186 -0.407802 0.8465261 0 -0.5323472 0.8465261 0.1820739 -0.5002426 0.8465262 -0.1820734 -0.5002428 0.8465262 0 -0.5323472 0.846526 -0.3421863 -0.4078018 0.846526 -0.1820739 -0.5002427 0.846526 -0.4610263 -0.2661736 0.846526 -0.3421861 -0.4078018 0.846526 -0.5242598 -0.09244126 0.846526 -0.4610263 -0.2661736 0.846526 -0.5242598 -0.09244114 0.846526 -0.5242598 0.0924412 0.5964311 0.7904699 -0.1393812 0.5964311 0.79047 0.139381 0.5964313 0.7904698 0.1393812 0.5964313 0.6951281 -0.401331 0.5964313 0.79047 -0.139381 0.5964308 0.5159425 -0.6148771 0.5964308 0.695128 -0.4013321 0.5964307 0.2745282 -0.7542577 0.5964307 0.5159423 -0.6148772 0.5964305 0 -0.8026647 0.5964304 0.2745277 -0.754258 0.5964305 -0.2745281 -0.7542579 0.5964305 0 -0.8026647 0.5964306 -0.5159427 -0.6148769 0.5964307 -0.2745277 -0.7542579 0.5964308 -0.6951279 -0.4013322 0.5964308 -0.5159425 -0.614877 0.5964307 -0.7904704 -0.1393812 0.5964307 -0.695128 -0.4013321 0.5964307 -0.7904703 -0.1393813 0.5964307 -0.7904703 0.1393812 0.846526 -0.5242598 0.09244114 0.269128 0.9484727 -0.1672411 0.269128 0.9484727 0.1672413 0.2691277 0.9484727 0.1672411 0.2691277 0.834073 -0.481552 0.2691278 0.9484728 -0.1672414 0.269127 0.6190711 -0.7377815 0.269127 0.8340728 -0.4815529 0.269128 0.3294014 -0.905022 0.2691277 0.6190717 -0.7377809 0.2691274 0 -0.9631046 0.2691276 0.329401 -0.9050223 0.2691274 -0.3294015 -0.9050221 0.2691275 0 -0.9631046 0.2691282 -0.6190711 -0.7377811 0.2691282 -0.3294006 -0.9050222 0.2691276 -0.834073 -0.4815521 0.2691274 -0.6190719 -0.7377807 0.269128 -0.9484727 -0.1672414 0.2691279 -0.8340728 -0.4815524 0.269128 -0.9484726 -0.1672415 0.269128 -0.9484726 0.1672414 0.5964307 -0.7904704 0.1393813 -0.09188741 0.9806414 -0.1729136 -0.09188741 0.9806415 0.1729132 -0.09188711 0.9806414 0.1729136 -0.09188705 0.8623613 -0.4978853 -0.09188705 0.9806415 -0.1729132 -0.09188652 0.6400684 -0.7628037 -0.09188657 0.8623616 -0.4978849 -0.09188634 0.3405731 -0.9357172 -0.09188634 0.6400685 -0.7628036 -0.09188699 0 -0.9957695 -0.09188705 0.3405724 -0.9357175 -0.09188699 -0.3405727 -0.9357174 -0.09188699 0 -0.9957695 -0.09188657 -0.6400685 -0.7628035 -0.09188646 -0.3405722 -0.9357176 -0.09188669 -0.8623616 -0.4978849 -0.09188657 -0.6400685 -0.7628034 -0.09188687 -0.9806414 -0.1729137 -0.09188693 -0.8623616 -0.4978846 -0.09188693 -0.9806415 -0.1729137 -0.09188693 -0.9806414 0.1729137 0.269128 -0.9484727 0.1672415 -0.4414779 0.8836407 -0.1558094 -0.4414778 0.8836405 0.1558097 -0.441478 0.8836405 0.1558094 -0.441478 0.7770603 -0.4486361 -0.441478 0.8836404 -0.1558096 -0.4414787 0.5767553 -0.6873499 -0.4414787 0.7770596 -0.4486367 -0.4414786 0.3068843 -0.84316 -0.4414784 0.5767559 -0.6873497 -0.4414775 0 -0.8972724 -0.4414778 0.3068854 -0.8431599 -0.4414777 -0.3068843 -0.8431605 -0.4414775 0 -0.8972723 -0.4414787 -0.5767554 -0.6873498 -0.4414788 -0.3068856 -0.8431593 -0.4414784 -0.7770603 -0.4486358 -0.4414786 -0.5767554 -0.6873499 -0.4414783 -0.8836403 -0.1558098 -0.4414783 -0.7770602 -0.4486361 -0.4414783 -0.8836404 -0.1558098 -0.4414784 -0.8836403 0.1558098 -0.09188693 -0.9806415 0.1729137 -0.7342177 0.6685999 -0.1178922 -0.7364833 0.670663 0.08833771 -0.7264621 0.6767663 0.1193321 -0.7238001 0.5975655 -0.3450055 -0.7207522 0.6872566 -0.09052342 -0.7439711 0.6173474 -0.2557134 -0.7264515 0.4417355 -0.526439 -0.7439706 0.5301545 -0.406748 -0.7342191 0.2322019 -0.6379691 -0.7365001 0.4117537 -0.5366809 -0.7237929 0 -0.6900172 -0.720735 0.2652795 -0.6404436 -0.7439768 0.08726269 -0.662483 -0.7264568 -0.2350408 -0.6457679 -0.7439769 -0.08726286 -0.6624829 -0.7342302 -0.436389 -0.5200679 -0.7364887 -0.2588649 -0.6249586 -0.7238004 -0.5975656 -0.3450048 -0.7207216 -0.4219719 -0.5500001 -0.7439707 -0.5301555 -0.4067466 -0.7264623 -0.6767662 -0.1193322 -0.7439711 -0.6173472 -0.2557135 -0.7364827 -0.6706632 -0.08833998 -0.7342173 -0.6686002 0.1178923 -0.4414783 -0.8836404 0.1558098 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.7207528 -0.6872558 0.09052556 -0.7439711 0.6173474 0.2557134 -0.7439706 0.5301545 0.406748 -0.7238001 0.5975655 0.3450056 -1 0 0 -0.7207217 0.4219722 0.5499997 -1 0 0 -1 0 0 -0.7364888 0.2588653 0.6249583 -1 0 0 -0.7342303 0.4363893 0.5200676 -0.7439768 0.08726269 0.662483 -0.7264567 0.2350406 0.6457683 -0.7439769 -0.08726286 0.6624829 -0.723793 0 0.6900172 -0.7207353 -0.2652789 0.6404434 -0.7365 -0.4117534 0.5366813 -0.734219 -0.2322022 0.637969 -0.7439707 -0.5301555 0.4067466 -0.7264515 -0.4417353 0.5264394 -0.7439711 -0.6173472 0.2557135 -0.7238004 -0.5975657 0.3450048 0.8465261 -0.4610263 0.2661736 0.846526 -0.3421862 0.4078017 0.846526 -0.4610263 0.2661736 0.846526 -0.1820735 0.5002431 0.846526 -0.3421862 0.4078019 0.8465261 0 0.5323472 0.8465261 -0.1820738 0.5002427 0.8465261 0.1820732 0.5002427 0.8465262 0 0.5323472 0.846526 0.3421868 0.4078015 0.846526 0.182074 0.5002427 0.8465262 0.461026 0.2661736 0.8465261 0.3421859 0.4078018 0.846526 0.4610267 0.266173 0.5964307 -0.6951279 0.4013322 0.5964307 -0.5159426 0.6148769 0.5964308 -0.695128 0.4013321 0.5964307 -0.274528 0.7542577 0.5964307 -0.5159425 0.614877 0.5964305 0 0.8026647 0.5964304 -0.2745278 0.754258 0.5964303 0.2745282 0.7542579 0.5964305 0 0.8026647 0.5964307 0.5159425 0.6148772 0.5964307 0.2745277 0.7542579 0.5964307 0.6951285 0.4013313 0.5964307 0.5159423 0.6148771 0.5964313 0.6951276 0.4013319 0.2691279 -0.834073 0.481552 0.2691274 -0.6190713 0.7377812 0.2691276 -0.8340728 0.4815524 0.2691282 -0.3294014 0.9050219 0.2691282 -0.6190718 0.7377806 0.2691274 0 0.9631046 0.2691275 -0.3294007 0.9050224 0.2691276 0.3294014 0.9050221 0.2691275 0 0.9631046 0.2691277 0.619071 0.7377814 0.269128 0.329401 0.9050222 0.269127 0.8340732 0.4815521 0.269127 0.6190718 0.7377809 0.2691277 0.8340726 0.4815528 -0.09188693 -0.8623616 0.4978849 -0.09188657 -0.6400685 0.7628035 -0.09188669 -0.8623617 0.4978847 -0.09188646 -0.3405728 0.9357175 -0.09188657 -0.6400685 0.7628034 -0.09188699 0 0.9957695 -0.09188693 -0.3405722 0.9357175 -0.09188705 0.3405731 0.9357172 -0.09188699 0 0.9957695 -0.09188634 0.6400684 0.7628037 -0.09188634 0.3405724 0.9357175 -0.09188657 0.8623613 0.4978854 -0.09188652 0.6400685 0.7628036 -0.09188705 0.8623616 0.4978849 -0.4414783 -0.7770603 0.4486359 -0.4414786 -0.5767554 0.6873499 -0.4414785 -0.7770601 0.448636 -0.4414787 -0.3068841 0.8431599 -0.4414786 -0.5767553 0.6873499 -0.4414775 0 0.8972724 -0.4414775 -0.3068858 0.84316 -0.4414778 0.3068844 0.8431602 -0.4414775 0 0.8972723 -0.4414783 0.5767554 0.68735 -0.4414787 0.3068853 0.8431596 -0.4414787 0.77706 0.448636 -0.4414787 0.5767557 0.6873495 -0.4414781 0.77706 0.448637</float_array>
+ <technique_common>
+ <accessor source="#wrist_fe-mesh-normals-array" count="2978" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="wrist_fe-mesh-vertices">
+ <input semantic="POSITION" source="#wrist_fe-mesh-positions"/>
+ </vertices>
+ <lines count="1">
+ <input semantic="VERTEX" source="#wrist_fe-mesh-vertices" offset="0"/>
+ <p>1437 1461</p>
+ </lines>
+ <polylist material="aluminum-material" count="2730">
+ <input semantic="VERTEX" source="#wrist_fe-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#wrist_fe-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 4 2 5 2 2 2 6 3 2 3 5 3 7 4 4 4 2 4 8 5 7 5 2 5 9 6 0 6 2 6 10 7 9 7 2 7 11 8 10 8 2 8 12 9 11 9 2 9 13 10 12 10 2 10 14 11 13 11 2 11 15 12 14 12 2 12 16 13 15 13 2 13 17 14 16 14 2 14 6 15 17 15 2 15 18 16 2 16 19 16 3 17 19 17 2 17 20 18 8 18 2 18 18 19 20 19 2 19 21 20 22 20 1 20 23 21 1 21 22 21 24 22 21 22 1 22 25 23 24 23 1 23 26 24 25 24 1 24 27 25 26 25 1 25 0 26 27 26 1 26 28 27 29 27 1 27 3 28 1 28 29 28 23 29 28 29 1 29 30 30 31 30 22 30 23 31 22 31 31 31 21 32 30 32 22 32 32 33 33 33 31 33 34 34 31 34 33 34 35 35 31 35 30 35 35 36 32 36 31 36 34 37 23 37 31 37 36 38 37 38 33 38 38 39 33 39 37 39 39 40 36 40 33 40 32 41 39 41 33 41 38 42 34 42 33 42 40 43 41 43 37 43 42 44 37 44 41 44 43 45 40 45 37 45 36 46 43 46 37 46 44 47 38 47 37 47 42 48 44 48 37 48 45 49 46 49 41 49 42 50 41 50 46 50 47 51 41 51 40 51 48 52 45 52 41 52 47 53 48 53 41 53 49 54 50 54 46 54 51 55 46 55 50 55 45 56 49 56 46 56 51 57 42 57 46 57 52 58 5 58 50 58 53 59 50 59 5 59 49 60 52 60 50 60 53 61 51 61 50 61 54 62 5 62 4 62 52 63 6 63 5 63 54 64 53 64 5 64 55 65 4 65 7 65 55 66 54 66 4 66 56 67 57 67 7 67 55 68 7 68 57 68 8 69 56 69 7 69 58 70 30 70 21 70 59 71 35 71 30 71 59 72 30 72 58 72 60 73 21 73 24 73 60 74 58 74 21 74 61 75 24 75 25 75 60 76 24 76 61 76 62 77 25 77 26 77 61 78 25 78 62 78 63 79 26 79 27 79 62 80 26 80 63 80 64 81 27 81 0 81 63 82 27 82 64 82 65 83 0 83 9 83 64 84 0 84 65 84 66 85 9 85 10 85 65 86 9 86 66 86 67 87 10 87 11 87 66 88 10 88 67 88 68 89 11 89 12 89 67 90 11 90 68 90 69 91 12 91 13 91 68 92 12 92 69 92 14 93 70 93 13 93 71 94 13 94 70 94 69 95 13 95 71 95 72 96 73 96 70 96 74 97 70 97 73 97 75 98 72 98 70 98 14 99 75 99 70 99 71 100 70 100 74 100 72 101 76 101 73 101 77 102 73 102 76 102 74 103 73 103 77 103 72 104 78 104 76 104 79 105 76 105 78 105 77 106 76 106 79 106 72 107 80 107 78 107 81 108 78 108 80 108 79 109 78 109 81 109 47 110 82 110 80 110 83 111 80 111 82 111 47 112 80 112 72 112 81 113 80 113 83 113 47 114 40 114 82 114 84 115 82 115 40 115 83 116 82 116 84 116 85 117 40 117 43 117 84 118 40 118 85 118 86 119 43 119 36 119 85 120 43 120 86 120 87 121 36 121 39 121 86 122 36 122 87 122 88 123 39 123 32 123 87 124 39 124 88 124 89 125 32 125 35 125 88 126 32 126 89 126 89 127 35 127 59 127 90 128 72 128 75 128 91 129 47 129 72 129 91 130 72 130 90 130 92 131 75 131 14 131 93 132 90 132 75 132 93 133 75 133 92 133 92 134 14 134 15 134 94 135 15 135 16 135 92 136 15 136 94 136 95 137 16 137 17 137 94 138 16 138 95 138 96 139 17 139 6 139 95 140 17 140 96 140 97 141 6 141 52 141 96 142 6 142 97 142 98 143 52 143 49 143 99 144 52 144 98 144 97 145 52 145 99 145 98 146 49 146 45 146 100 147 45 147 48 147 98 148 45 148 100 148 101 149 48 149 47 149 100 150 48 150 101 150 101 151 47 151 91 151 102 152 103 152 104 152 105 153 104 153 103 153 106 154 104 154 107 154 108 155 107 155 104 155 106 156 102 156 104 156 105 157 109 157 104 157 110 158 104 158 109 158 110 159 108 159 104 159 111 160 112 160 103 160 105 161 103 161 112 161 102 162 111 162 103 162 113 163 114 163 112 163 115 164 112 164 114 164 111 165 113 165 112 165 115 166 105 166 112 166 116 167 117 167 114 167 118 168 114 168 117 168 116 169 114 169 113 169 118 170 115 170 114 170 119 171 120 171 117 171 121 172 117 172 120 172 116 173 119 173 117 173 121 174 118 174 117 174 122 175 123 175 120 175 124 176 120 176 123 176 125 177 122 177 120 177 119 178 125 178 120 178 124 179 121 179 120 179 126 180 127 180 123 180 128 181 123 181 127 181 122 182 129 182 123 182 130 183 123 183 129 183 131 184 126 184 123 184 132 185 131 185 123 185 133 186 132 186 123 186 134 187 133 187 123 187 130 188 134 188 123 188 135 189 123 189 128 189 124 190 123 190 135 190 136 191 137 191 127 191 128 192 127 192 137 192 138 193 136 193 127 193 126 194 138 194 127 194 139 195 140 195 137 195 141 196 137 196 140 196 136 197 139 197 137 197 141 198 128 198 137 198 142 199 143 199 140 199 144 200 140 200 143 200 145 201 142 201 140 201 139 202 145 202 140 202 144 203 141 203 140 203 142 204 107 204 143 204 146 205 143 205 107 205 147 206 148 206 143 206 144 207 143 207 148 207 146 208 147 208 143 208 149 209 106 209 107 209 150 210 149 210 107 210 151 211 150 211 107 211 152 212 151 212 107 212 153 213 152 213 107 213 154 214 153 214 107 214 142 215 154 215 107 215 155 216 107 216 108 216 156 217 107 217 155 217 157 218 146 218 107 218 156 219 157 219 107 219 158 220 113 220 111 220 159 221 116 221 113 221 159 222 113 222 158 222 160 223 111 223 102 223 161 224 158 224 111 224 161 225 111 225 160 225 106 226 162 226 102 226 160 227 102 227 162 227 163 228 164 228 162 228 165 229 162 229 164 229 106 230 163 230 162 230 160 231 162 231 165 231 166 232 167 232 164 232 168 233 164 233 167 233 169 234 166 234 164 234 163 235 169 235 164 235 165 236 164 236 168 236 170 237 171 237 167 237 172 238 167 238 171 238 173 239 170 239 167 239 166 240 173 240 167 240 168 241 167 241 172 241 174 242 129 242 171 242 175 243 171 243 129 243 174 244 171 244 170 244 172 245 171 245 175 245 176 246 129 246 122 246 174 247 130 247 129 247 177 248 129 248 176 248 175 249 129 249 177 249 176 250 122 250 125 250 178 251 125 251 119 251 176 252 125 252 178 252 179 253 119 253 116 253 178 254 119 254 179 254 179 255 116 255 159 255 180 256 170 256 173 256 181 257 174 257 170 257 181 258 170 258 180 258 182 259 173 259 166 259 182 260 180 260 173 260 183 261 166 261 169 261 182 262 166 262 183 262 184 263 169 263 163 263 183 264 169 264 184 264 185 265 163 265 106 265 184 266 163 266 185 266 186 267 106 267 149 267 185 268 106 268 186 268 187 269 149 269 150 269 186 270 149 270 187 270 188 271 150 271 151 271 187 272 150 272 188 272 189 273 151 273 152 273 188 274 151 274 189 274 190 275 152 275 153 275 189 276 152 276 190 276 191 277 153 277 154 277 190 278 153 278 191 278 192 279 154 279 142 279 191 280 154 280 192 280 193 281 142 281 145 281 192 282 142 282 193 282 194 283 145 283 139 283 193 284 145 284 194 284 195 285 139 285 136 285 194 286 139 286 195 286 196 287 136 287 138 287 195 288 136 288 196 288 197 289 138 289 126 289 196 290 138 290 197 290 198 291 126 291 131 291 197 292 126 292 198 292 199 293 131 293 132 293 198 294 131 294 199 294 200 295 132 295 133 295 199 296 132 296 200 296 201 297 133 297 134 297 200 298 133 298 201 298 202 299 134 299 130 299 201 300 134 300 202 300 203 301 130 301 174 301 202 302 130 302 203 302 203 303 174 303 181 303 110 304 18 304 19 304 204 305 110 305 19 305 205 306 204 306 19 306 206 307 19 307 3 307 206 308 207 308 19 308 205 309 19 309 207 309 208 310 57 310 56 310 209 311 55 311 57 311 209 312 57 312 210 312 208 313 210 313 57 313 28 314 56 314 8 314 211 315 56 315 28 315 211 316 208 316 56 316 212 317 8 317 20 317 28 318 8 318 212 318 213 319 20 319 18 319 212 320 20 320 213 320 110 321 214 321 18 321 215 322 18 322 214 322 213 323 18 323 216 323 217 324 216 324 18 324 215 325 218 325 18 325 219 326 18 326 218 326 220 327 217 327 18 327 219 328 220 328 18 328 110 329 221 329 214 329 156 330 214 330 221 330 222 331 214 331 156 331 222 332 215 332 214 332 110 333 223 333 221 333 157 334 221 334 223 334 156 335 221 335 157 335 110 336 109 336 223 336 146 337 223 337 109 337 157 338 223 338 146 338 115 339 109 339 105 339 146 340 109 340 147 340 224 341 147 341 109 341 118 342 109 342 115 342 225 343 109 343 118 343 226 344 227 344 109 344 228 345 109 345 227 345 229 346 226 346 109 346 230 347 231 347 109 347 232 348 109 348 231 348 233 349 230 349 109 349 234 350 233 350 109 350 235 351 234 351 109 351 236 352 235 352 109 352 237 353 236 353 109 353 225 354 237 354 109 354 232 355 238 355 109 355 239 356 109 356 238 356 239 357 229 357 109 357 240 358 224 358 109 358 228 359 240 359 109 359 241 360 108 360 110 360 241 361 155 361 108 361 242 362 110 362 204 362 243 363 110 363 242 363 244 364 241 364 110 364 243 365 244 365 110 365 242 366 204 366 245 366 246 367 245 367 204 367 246 368 204 368 205 368 155 369 247 369 29 369 248 370 29 370 247 370 156 371 155 371 29 371 216 372 156 372 29 372 213 373 216 373 29 373 212 374 213 374 29 374 28 375 212 375 29 375 206 376 3 376 29 376 249 377 29 377 248 377 250 378 206 378 29 378 249 379 250 379 29 379 251 380 247 380 155 380 252 381 248 381 247 381 253 382 252 382 247 382 253 383 247 383 251 383 241 384 254 384 155 384 251 385 155 385 254 385 255 386 148 386 147 386 256 387 144 387 148 387 256 388 148 388 255 388 224 389 255 389 147 389 257 390 156 390 216 390 258 391 222 391 156 391 259 392 258 392 156 392 260 393 259 393 156 393 257 394 260 394 156 394 217 395 257 395 216 395 34 396 28 396 23 396 261 397 28 397 34 397 262 398 263 398 28 398 264 399 28 399 263 399 265 400 262 400 28 400 266 401 265 401 28 401 267 402 266 402 28 402 268 403 267 403 28 403 261 404 268 404 28 404 264 405 269 405 28 405 270 406 28 406 269 406 270 407 211 407 28 407 261 408 34 408 38 408 271 409 38 409 44 409 271 410 261 410 38 410 272 411 44 411 42 411 272 412 273 412 44 412 274 413 44 413 273 413 275 414 276 414 44 414 271 415 44 415 276 415 274 416 275 416 44 416 277 417 128 417 141 417 278 418 135 418 128 418 279 419 280 419 128 419 281 420 128 420 280 420 277 421 279 421 128 421 282 422 278 422 128 422 283 423 282 423 128 423 284 424 283 424 128 424 285 425 284 425 128 425 281 426 285 426 128 426 286 427 141 427 144 427 287 428 277 428 141 428 288 429 287 429 141 429 289 430 290 430 141 430 291 431 141 431 290 431 286 432 289 432 141 432 291 433 288 433 141 433 256 434 286 434 144 434 42 435 51 435 292 435 293 436 42 436 294 436 295 437 294 437 42 437 296 438 272 438 42 438 297 439 296 439 42 439 293 440 298 440 42 440 299 441 42 441 298 441 300 442 297 442 42 442 301 443 300 443 42 443 299 444 301 444 42 444 302 445 124 445 135 445 303 446 302 446 135 446 304 447 135 447 278 447 305 448 303 448 135 448 306 449 305 449 135 449 304 450 306 450 135 450 307 451 51 451 53 451 307 452 308 452 51 452 309 453 51 453 308 453 292 454 295 454 42 454 310 455 292 455 51 455 311 456 310 456 51 456 309 457 311 457 51 457 312 458 53 458 54 458 313 459 307 459 53 459 314 460 313 460 53 460 312 461 314 461 53 461 315 462 54 462 55 462 316 463 317 463 54 463 318 464 54 464 317 464 315 465 316 465 54 465 318 466 312 466 54 466 209 467 315 467 55 467 225 468 118 468 121 468 234 469 121 469 124 469 319 470 121 470 234 470 320 471 321 471 121 471 322 472 121 472 321 472 319 473 320 473 121 473 322 474 225 474 121 474 323 475 234 475 124 475 302 476 323 476 124 476 324 477 325 477 326 477 327 478 326 478 325 478 328 479 324 479 326 479 329 480 326 480 327 480 330 481 326 481 329 481 328 482 326 482 330 482 324 483 331 483 325 483 231 484 325 484 331 484 230 485 327 485 325 485 230 486 325 486 231 486 332 487 333 487 331 487 334 488 331 488 333 488 324 489 332 489 331 489 334 490 231 490 331 490 335 491 336 491 333 491 282 492 333 492 336 492 332 493 335 493 333 493 334 494 333 494 282 494 337 495 338 495 336 495 278 496 336 496 338 496 335 497 337 497 336 497 282 498 336 498 278 498 339 499 340 499 338 499 341 500 338 500 340 500 337 501 339 501 338 501 278 502 338 502 341 502 342 503 340 503 339 503 342 504 343 504 340 504 302 505 340 505 343 505 341 506 340 506 302 506 344 507 339 507 337 507 345 508 342 508 339 508 345 509 339 509 344 509 346 510 337 510 335 510 344 511 337 511 346 511 347 512 335 512 332 512 346 513 335 513 347 513 348 514 332 514 324 514 347 515 332 515 348 515 348 516 324 516 328 516 349 517 350 517 351 517 352 518 351 518 350 518 353 519 349 519 351 519 354 520 351 520 352 520 355 521 351 521 354 521 353 522 351 522 355 522 349 523 356 523 350 523 308 524 350 524 356 524 307 525 352 525 350 525 307 526 350 526 308 526 357 527 358 527 356 527 359 528 356 528 358 528 349 529 357 529 356 529 308 530 356 530 359 530 360 531 361 531 358 531 294 532 358 532 361 532 357 533 360 533 358 533 359 534 358 534 294 534 362 535 363 535 361 535 364 536 361 536 363 536 360 537 362 537 361 537 294 538 361 538 364 538 365 539 366 539 363 539 367 540 363 540 366 540 362 541 365 541 363 541 364 542 363 542 367 542 368 543 366 543 365 543 368 544 369 544 366 544 370 545 366 545 369 545 367 546 366 546 370 546 371 547 365 547 362 547 372 548 368 548 365 548 372 549 365 549 371 549 373 550 362 550 360 550 371 551 362 551 373 551 374 552 360 552 357 552 373 553 360 553 374 553 375 554 357 554 349 554 374 555 357 555 375 555 375 556 349 556 353 556 376 557 377 557 343 557 323 558 343 558 377 558 342 559 376 559 343 559 302 560 343 560 323 560 378 561 379 561 377 561 234 562 377 562 379 562 376 563 378 563 377 563 323 564 377 564 234 564 329 565 327 565 379 565 233 566 379 566 327 566 378 567 329 567 379 567 234 568 379 568 233 568 233 569 327 569 230 569 380 570 329 570 378 570 380 571 330 571 329 571 381 572 378 572 376 572 380 573 378 573 381 573 382 574 376 574 342 574 381 575 376 575 382 575 382 576 342 576 345 576 383 577 384 577 369 577 210 578 369 578 384 578 368 579 383 579 369 579 210 580 370 580 369 580 385 581 386 581 384 581 314 582 384 582 386 582 383 583 385 583 384 583 210 584 384 584 314 584 354 585 352 585 386 585 313 586 386 586 352 586 385 587 354 587 386 587 314 588 386 588 313 588 313 589 352 589 307 589 387 590 354 590 385 590 387 591 355 591 354 591 388 592 385 592 383 592 387 593 385 593 388 593 389 594 383 594 368 594 388 595 383 595 389 595 389 596 368 596 372 596 390 597 391 597 392 597 393 598 392 598 391 598 394 599 390 599 392 599 395 600 392 600 393 600 396 601 392 601 395 601 394 602 392 602 396 602 390 603 397 603 391 603 398 604 391 604 397 604 399 605 393 605 391 605 399 606 391 606 398 606 400 607 401 607 397 607 255 608 397 608 401 608 390 609 400 609 397 609 398 610 397 610 255 610 402 611 403 611 401 611 287 612 401 612 403 612 400 613 402 613 401 613 255 614 401 614 287 614 404 615 405 615 403 615 277 616 403 616 405 616 402 617 404 617 403 617 287 618 403 618 277 618 406 619 407 619 405 619 279 620 405 620 407 620 404 621 406 621 405 621 277 622 405 622 279 622 408 623 407 623 406 623 408 624 409 624 407 624 280 625 407 625 409 625 279 626 407 626 280 626 410 627 406 627 404 627 411 628 408 628 406 628 411 629 406 629 410 629 412 630 404 630 402 630 410 631 404 631 412 631 413 632 402 632 400 632 412 633 402 633 413 633 414 634 400 634 390 634 413 635 400 635 414 635 414 636 390 636 394 636 415 637 416 637 417 637 418 638 417 638 416 638 419 639 415 639 417 639 420 640 417 640 418 640 421 641 417 641 420 641 419 642 417 642 421 642 415 643 422 643 416 643 296 644 416 644 422 644 423 645 418 645 416 645 423 646 416 646 296 646 424 647 425 647 422 647 272 648 422 648 425 648 415 649 424 649 422 649 296 650 422 650 272 650 426 651 427 651 425 651 273 652 425 652 427 652 424 653 426 653 425 653 272 654 425 654 273 654 428 655 429 655 427 655 265 656 427 656 429 656 426 657 428 657 427 657 273 658 427 658 265 658 430 659 431 659 429 659 262 660 429 660 431 660 428 661 430 661 429 661 265 662 429 662 262 662 432 663 431 663 430 663 432 664 433 664 431 664 263 665 431 665 433 665 262 666 431 666 263 666 434 667 430 667 428 667 435 668 432 668 430 668 435 669 430 669 434 669 436 670 428 670 426 670 434 671 428 671 436 671 437 672 426 672 424 672 436 673 426 673 437 673 438 674 424 674 415 674 437 675 424 675 438 675 438 676 415 676 419 676 439 677 440 677 409 677 441 678 409 678 440 678 408 679 439 679 409 679 441 680 280 680 409 680 442 681 443 681 440 681 226 682 440 682 443 682 439 683 442 683 440 683 441 684 440 684 226 684 395 685 393 685 443 685 227 686 443 686 393 686 442 687 395 687 443 687 226 688 443 688 227 688 227 689 393 689 399 689 444 690 395 690 442 690 444 691 396 691 395 691 445 692 442 692 439 692 444 693 442 693 445 693 446 694 439 694 408 694 445 695 439 695 446 695 446 696 408 696 411 696 447 697 448 697 433 697 449 698 433 698 448 698 432 699 447 699 433 699 449 700 263 700 433 700 450 701 451 701 448 701 293 702 448 702 451 702 447 703 450 703 448 703 449 704 448 704 293 704 420 705 418 705 451 705 298 706 451 706 418 706 450 707 420 707 451 707 293 708 451 708 298 708 298 709 418 709 423 709 452 710 420 710 450 710 452 711 421 711 420 711 453 712 450 712 447 712 452 713 450 713 453 713 454 714 447 714 432 714 453 715 447 715 454 715 454 716 432 716 435 716 394 717 455 717 456 717 193 718 456 718 455 718 457 719 456 719 458 719 195 720 458 720 456 720 414 721 394 721 456 721 459 722 414 722 456 722 460 723 459 723 456 723 457 724 460 724 456 724 194 725 195 725 456 725 193 726 194 726 456 726 461 727 462 727 455 727 190 728 455 728 462 728 463 729 461 729 455 729 394 730 396 730 455 730 464 731 455 731 396 731 464 732 465 732 455 732 463 733 455 733 465 733 192 734 193 734 455 734 191 735 192 735 455 735 190 736 191 736 455 736 461 737 466 737 462 737 188 738 462 738 466 738 189 739 190 739 462 739 188 740 189 740 462 740 187 741 466 741 461 741 187 742 188 742 466 742 467 743 468 743 461 743 185 744 461 744 468 744 469 745 467 745 461 745 470 746 469 746 461 746 463 747 470 747 461 747 186 748 187 748 461 748 185 749 186 749 461 749 445 750 471 750 468 750 183 751 468 751 471 751 444 752 445 752 468 752 472 753 444 753 468 753 467 754 472 754 468 754 184 755 185 755 468 755 183 756 184 756 468 756 473 757 474 757 471 757 180 758 471 758 474 758 446 759 411 759 471 759 473 760 471 760 411 760 445 761 446 761 471 761 182 762 471 762 180 762 182 763 183 763 471 763 475 764 476 764 474 764 202 765 474 765 476 765 473 766 477 766 474 766 478 767 474 767 477 767 478 768 475 768 474 768 181 769 180 769 474 769 203 770 181 770 474 770 202 771 203 771 474 771 479 772 480 772 476 772 200 773 476 773 480 773 475 774 479 774 476 774 201 775 202 775 476 775 200 776 201 776 476 776 199 777 480 777 479 777 199 778 200 778 480 778 410 779 458 779 479 779 197 780 479 780 458 780 481 781 410 781 479 781 482 782 481 782 479 782 483 783 482 783 479 783 475 784 483 784 479 784 198 785 199 785 479 785 197 786 198 786 479 786 412 787 413 787 458 787 484 788 458 788 413 788 410 789 412 789 458 789 485 790 458 790 484 790 485 791 457 791 458 791 196 792 197 792 458 792 195 793 196 793 458 793 486 794 396 794 444 794 486 795 464 795 396 795 487 796 413 796 414 796 488 797 487 797 414 797 489 798 488 798 414 798 459 799 489 799 414 799 487 800 484 800 413 800 473 801 411 801 410 801 490 802 473 802 410 802 481 803 490 803 410 803 472 804 486 804 444 804 290 805 484 805 487 805 289 806 485 806 484 806 289 807 484 807 290 807 291 808 487 808 488 808 291 809 290 809 487 809 288 810 488 810 489 810 291 811 488 811 288 811 491 812 489 812 459 812 288 813 489 813 491 813 492 814 459 814 460 814 491 815 459 815 492 815 256 816 460 816 457 816 492 817 460 817 256 817 286 818 457 818 485 818 256 819 457 819 286 819 286 820 485 820 289 820 493 821 465 821 464 821 224 822 463 822 465 822 224 823 465 823 493 823 494 824 464 824 486 824 494 825 493 825 464 825 495 826 486 826 472 826 494 827 486 827 495 827 496 828 472 828 467 828 495 829 472 829 496 829 497 830 467 830 469 830 496 831 467 831 497 831 228 832 469 832 470 832 497 833 469 833 228 833 240 834 470 834 463 834 228 835 470 835 240 835 240 836 463 836 224 836 498 837 477 837 473 837 499 838 478 838 477 838 499 839 477 839 498 839 500 840 473 840 490 840 500 841 498 841 473 841 501 842 490 842 481 842 500 843 490 843 501 843 281 844 481 844 482 844 501 845 481 845 281 845 285 846 482 846 483 846 281 847 482 847 285 847 284 848 483 848 475 848 285 849 483 849 284 849 283 850 475 850 478 850 284 851 475 851 283 851 283 852 478 852 499 852 328 853 502 853 503 853 175 854 503 854 502 854 347 855 503 855 504 855 177 856 504 856 503 856 348 857 328 857 503 857 347 858 348 858 503 858 175 859 177 859 503 859 505 860 506 860 502 860 168 861 502 861 506 861 328 862 330 862 502 862 507 863 502 863 330 863 508 864 505 864 502 864 509 865 508 865 502 865 507 866 509 866 502 866 172 867 175 867 502 867 168 868 172 868 502 868 510 869 511 869 506 869 168 870 506 870 511 870 512 871 510 871 506 871 505 872 512 872 506 872 165 873 511 873 510 873 165 874 168 874 511 874 330 875 513 875 510 875 160 876 510 876 513 876 514 877 330 877 510 877 512 878 515 878 510 878 516 879 510 879 515 879 516 880 514 880 510 880 160 881 165 881 510 881 517 882 518 882 513 882 161 883 513 883 518 883 380 884 513 884 330 884 380 885 381 885 513 885 519 886 513 886 381 886 520 887 517 887 513 887 519 888 520 888 513 888 161 889 160 889 513 889 521 890 522 890 518 890 158 891 518 891 522 891 517 892 521 892 518 892 161 893 518 893 158 893 523 894 524 894 522 894 179 895 522 895 524 895 525 896 523 896 522 896 345 897 344 897 522 897 526 898 522 898 344 898 521 899 345 899 522 899 527 900 525 900 522 900 528 901 527 901 522 901 526 902 528 902 522 902 159 903 158 903 522 903 179 904 159 904 522 904 523 905 529 905 524 905 179 906 524 906 529 906 178 907 529 907 523 907 178 908 179 908 529 908 530 909 504 909 523 909 176 910 523 910 504 910 531 911 530 911 523 911 525 912 531 912 523 912 176 913 178 913 523 913 346 914 347 914 504 914 344 915 346 915 504 915 532 916 344 916 504 916 530 917 533 917 504 917 532 918 504 918 533 918 177 919 176 919 504 919 514 920 507 920 330 920 532 921 526 921 344 921 534 922 382 922 345 922 521 923 534 923 345 923 535 924 381 924 382 924 536 925 382 925 534 925 537 926 535 926 382 926 536 927 537 927 382 927 535 928 519 928 381 928 321 929 534 929 521 929 320 930 536 930 534 930 320 931 534 931 321 931 322 932 521 932 517 932 322 933 321 933 521 933 225 934 517 934 520 934 322 935 517 935 225 935 237 936 520 936 519 936 225 937 520 937 237 937 236 938 519 938 535 938 237 939 519 939 236 939 235 940 535 940 537 940 236 941 535 941 235 941 319 942 537 942 536 942 235 943 537 943 319 943 319 944 536 944 320 944 238 945 515 945 512 945 232 946 516 946 515 946 232 947 515 947 238 947 239 948 512 948 505 948 239 949 238 949 512 949 229 950 505 950 508 950 239 951 505 951 229 951 538 952 508 952 509 952 229 953 508 953 538 953 539 954 509 954 507 954 538 955 509 955 539 955 540 956 507 956 514 956 539 957 507 957 540 957 541 958 514 958 516 958 540 959 514 959 541 959 541 960 516 960 232 960 542 961 533 961 530 961 543 962 532 962 533 962 543 963 533 963 542 963 304 964 530 964 531 964 304 965 542 965 530 965 306 966 531 966 525 966 304 967 531 967 306 967 305 968 525 968 527 968 306 969 525 969 305 969 303 970 527 970 528 970 305 971 527 971 303 971 544 972 528 972 526 972 303 973 528 973 544 973 545 974 526 974 532 974 544 975 526 975 545 975 545 976 532 976 543 976 419 977 546 977 547 977 58 978 547 978 546 978 548 979 547 979 549 979 61 980 549 980 547 980 438 981 419 981 547 981 550 982 438 982 547 982 551 983 550 983 547 983 548 984 551 984 547 984 60 985 547 985 58 985 60 986 61 986 547 986 552 987 553 987 546 987 88 988 546 988 553 988 554 989 552 989 546 989 419 990 421 990 546 990 555 991 546 991 421 991 556 992 554 992 546 992 555 993 556 993 546 993 59 994 58 994 546 994 89 995 59 995 546 995 88 996 89 996 546 996 552 997 557 997 553 997 86 998 553 998 557 998 87 999 88 999 553 999 86 1000 87 1000 553 1000 85 1001 557 1001 552 1001 85 1002 86 1002 557 1002 558 1003 559 1003 552 1003 83 1004 552 1004 559 1004 560 1005 558 1005 552 1005 561 1006 560 1006 552 1006 554 1007 561 1007 552 1007 84 1008 85 1008 552 1008 83 1009 84 1009 552 1009 453 1010 562 1010 559 1010 79 1011 559 1011 562 1011 452 1012 453 1012 559 1012 563 1013 452 1013 559 1013 563 1014 559 1014 558 1014 81 1015 83 1015 559 1015 79 1016 81 1016 559 1016 564 1017 565 1017 562 1017 74 1018 562 1018 565 1018 454 1019 435 1019 562 1019 564 1020 562 1020 435 1020 453 1021 454 1021 562 1021 77 1022 79 1022 562 1022 74 1023 77 1023 562 1023 566 1024 567 1024 565 1024 68 1025 565 1025 567 1025 568 1026 566 1026 565 1026 569 1027 568 1027 565 1027 564 1028 569 1028 565 1028 71 1029 74 1029 565 1029 69 1030 71 1030 565 1030 68 1031 69 1031 565 1031 570 1032 571 1032 567 1032 66 1033 567 1033 571 1033 566 1034 570 1034 567 1034 67 1035 68 1035 567 1035 66 1036 67 1036 567 1036 65 1037 571 1037 570 1037 65 1038 66 1038 571 1038 434 1039 549 1039 570 1039 63 1040 570 1040 549 1040 572 1041 434 1041 570 1041 573 1042 574 1042 570 1042 572 1043 570 1043 574 1043 566 1044 573 1044 570 1044 64 1045 65 1045 570 1045 63 1046 64 1046 570 1046 436 1047 437 1047 549 1047 575 1048 549 1048 437 1048 434 1049 436 1049 549 1049 576 1050 548 1050 549 1050 575 1051 576 1051 549 1051 62 1052 63 1052 549 1052 61 1053 62 1053 549 1053 577 1054 421 1054 452 1054 577 1055 555 1055 421 1055 578 1056 437 1056 438 1056 579 1057 438 1057 550 1057 580 1058 578 1058 438 1058 579 1059 580 1059 438 1059 578 1060 575 1060 437 1060 564 1061 435 1061 434 1061 581 1062 564 1062 434 1062 572 1063 581 1063 434 1063 563 1064 577 1064 452 1064 276 1065 550 1065 551 1065 275 1066 579 1066 550 1066 275 1067 550 1067 276 1067 271 1068 551 1068 548 1068 271 1069 276 1069 551 1069 261 1070 548 1070 576 1070 271 1071 548 1071 261 1071 268 1072 576 1072 575 1072 261 1073 576 1073 268 1073 267 1074 575 1074 578 1074 268 1075 575 1075 267 1075 266 1076 578 1076 580 1076 267 1077 578 1077 266 1077 274 1078 580 1078 579 1078 266 1079 580 1079 274 1079 274 1080 579 1080 275 1080 269 1081 574 1081 573 1081 264 1082 572 1082 574 1082 264 1083 574 1083 269 1083 270 1084 573 1084 566 1084 270 1085 269 1085 573 1085 211 1086 566 1086 568 1086 270 1087 566 1087 211 1087 582 1088 568 1088 569 1088 211 1089 568 1089 582 1089 583 1090 569 1090 564 1090 582 1091 569 1091 583 1091 584 1092 564 1092 581 1092 583 1093 564 1093 584 1093 585 1094 581 1094 572 1094 584 1095 581 1095 585 1095 585 1096 572 1096 264 1096 586 1097 558 1097 560 1097 587 1098 563 1098 558 1098 587 1099 558 1099 586 1099 299 1100 560 1100 561 1100 299 1101 586 1101 560 1101 301 1102 561 1102 554 1102 299 1103 561 1103 301 1103 300 1104 554 1104 556 1104 301 1105 554 1105 300 1105 297 1106 556 1106 555 1106 300 1107 556 1107 297 1107 588 1108 555 1108 577 1108 297 1109 555 1109 588 1109 589 1110 577 1110 563 1110 588 1111 577 1111 589 1111 589 1112 563 1112 587 1112 353 1113 590 1113 591 1113 90 1114 591 1114 590 1114 374 1115 591 1115 592 1115 93 1116 592 1116 591 1116 375 1117 353 1117 591 1117 374 1118 375 1118 591 1118 93 1119 591 1119 90 1119 593 1120 594 1120 590 1120 101 1121 590 1121 594 1121 353 1122 355 1122 590 1122 595 1123 590 1123 355 1123 595 1124 596 1124 590 1124 597 1125 590 1125 596 1125 597 1126 593 1126 590 1126 91 1127 90 1127 590 1127 101 1128 91 1128 590 1128 598 1129 599 1129 594 1129 101 1130 594 1130 599 1130 600 1131 598 1131 594 1131 593 1132 600 1132 594 1132 100 1133 599 1133 598 1133 100 1134 101 1134 599 1134 355 1135 601 1135 598 1135 98 1136 598 1136 601 1136 602 1137 355 1137 598 1137 603 1138 602 1138 598 1138 604 1139 603 1139 598 1139 600 1140 604 1140 598 1140 98 1141 100 1141 598 1141 605 1142 606 1142 601 1142 99 1143 601 1143 606 1143 387 1144 601 1144 355 1144 387 1145 388 1145 601 1145 607 1146 601 1146 388 1146 608 1147 601 1147 607 1147 608 1148 605 1148 601 1148 99 1149 98 1149 601 1149 609 1150 610 1150 606 1150 97 1151 606 1151 610 1151 605 1152 609 1152 606 1152 97 1153 99 1153 606 1153 611 1154 612 1154 610 1154 95 1155 610 1155 612 1155 613 1156 611 1156 610 1156 372 1157 371 1157 610 1157 614 1158 610 1158 371 1158 609 1159 372 1159 610 1159 615 1160 616 1160 610 1160 613 1161 610 1161 616 1161 614 1162 615 1162 610 1162 96 1163 97 1163 610 1163 95 1164 96 1164 610 1164 611 1165 617 1165 612 1165 95 1166 612 1166 617 1166 94 1167 617 1167 611 1167 94 1168 95 1168 617 1168 618 1169 592 1169 611 1169 92 1170 611 1170 592 1170 619 1171 618 1171 611 1171 613 1172 619 1172 611 1172 92 1173 94 1173 611 1173 373 1174 374 1174 592 1174 371 1175 373 1175 592 1175 620 1176 371 1176 592 1176 621 1177 620 1177 592 1177 618 1178 621 1178 592 1178 93 1179 92 1179 592 1179 602 1180 595 1180 355 1180 620 1181 614 1181 371 1181 622 1182 389 1182 372 1182 609 1183 622 1183 372 1183 623 1184 388 1184 389 1184 624 1185 623 1185 389 1185 625 1186 624 1186 389 1186 622 1187 625 1187 389 1187 623 1188 607 1188 388 1188 317 1189 607 1189 623 1189 316 1190 608 1190 607 1190 316 1191 607 1191 317 1191 318 1192 623 1192 624 1192 318 1193 317 1193 623 1193 312 1194 624 1194 625 1194 318 1195 624 1195 312 1195 626 1196 625 1196 622 1196 312 1197 625 1197 626 1197 627 1198 622 1198 609 1198 626 1199 622 1199 627 1199 209 1200 609 1200 605 1200 627 1201 609 1201 209 1201 315 1202 605 1202 608 1202 209 1203 605 1203 315 1203 315 1204 608 1204 316 1204 628 1205 616 1205 615 1205 208 1206 613 1206 616 1206 208 1207 616 1207 628 1207 629 1208 615 1208 614 1208 629 1209 628 1209 615 1209 630 1210 614 1210 620 1210 629 1211 614 1211 630 1211 631 1212 620 1212 621 1212 630 1213 620 1213 631 1213 632 1214 621 1214 618 1214 631 1215 621 1215 632 1215 633 1216 618 1216 619 1216 632 1217 618 1217 633 1217 634 1218 619 1218 613 1218 633 1219 619 1219 634 1219 634 1220 613 1220 208 1220 635 1221 596 1221 595 1221 295 1222 597 1222 596 1222 295 1223 596 1223 635 1223 636 1224 595 1224 602 1224 636 1225 635 1225 595 1225 637 1226 602 1226 603 1226 636 1227 602 1227 637 1227 309 1228 603 1228 604 1228 637 1229 603 1229 309 1229 311 1230 604 1230 600 1230 309 1231 604 1231 311 1231 310 1232 600 1232 593 1232 311 1233 600 1233 310 1233 292 1234 593 1234 597 1234 310 1235 593 1235 292 1235 292 1236 597 1236 295 1236 629 1237 367 1237 370 1237 208 1238 370 1238 210 1238 208 1239 628 1239 370 1239 629 1240 370 1240 628 1240 632 1241 364 1241 367 1241 631 1242 632 1242 367 1242 630 1243 631 1243 367 1243 629 1244 630 1244 367 1244 211 1245 294 1245 364 1245 632 1246 633 1246 364 1246 211 1247 364 1247 633 1247 637 1248 359 1248 294 1248 582 1249 293 1249 294 1249 295 1250 635 1250 294 1250 636 1251 294 1251 635 1251 636 1252 637 1252 294 1252 211 1253 582 1253 294 1253 309 1254 308 1254 359 1254 637 1255 309 1255 359 1255 312 1256 210 1256 314 1256 627 1257 209 1257 210 1257 626 1258 627 1258 210 1258 312 1259 626 1259 210 1259 264 1260 263 1260 449 1260 266 1261 273 1261 265 1261 266 1262 274 1262 273 1262 589 1263 423 1263 296 1263 588 1264 589 1264 296 1264 297 1265 588 1265 296 1265 586 1266 298 1266 423 1266 587 1267 586 1267 423 1267 589 1268 587 1268 423 1268 299 1269 298 1269 586 1269 584 1270 449 1270 293 1270 583 1271 584 1271 293 1271 582 1272 583 1272 293 1272 585 1273 264 1273 449 1273 584 1274 585 1274 449 1274 211 1275 634 1275 208 1275 211 1276 633 1276 634 1276 281 1277 280 1277 441 1277 491 1278 255 1278 287 1278 288 1279 491 1279 287 1279 224 1280 398 1280 255 1280 492 1281 256 1281 255 1281 491 1282 492 1282 255 1282 495 1283 399 1283 398 1283 224 1284 493 1284 398 1284 494 1285 398 1285 493 1285 494 1286 495 1286 398 1286 497 1287 227 1287 399 1287 496 1288 497 1288 399 1288 495 1289 496 1289 399 1289 497 1290 228 1290 227 1290 500 1291 441 1291 226 1291 538 1292 282 1292 226 1292 499 1293 226 1293 282 1293 229 1294 538 1294 226 1294 499 1295 498 1295 226 1295 500 1296 226 1296 498 1296 501 1297 281 1297 441 1297 500 1298 501 1298 441 1298 232 1299 231 1299 334 1299 235 1300 319 1300 234 1300 544 1301 341 1301 302 1301 303 1302 544 1302 302 1302 542 1303 278 1303 341 1303 543 1304 542 1304 341 1304 545 1305 543 1305 341 1305 544 1306 545 1306 341 1306 304 1307 278 1307 542 1307 541 1308 334 1308 282 1308 540 1309 541 1309 282 1309 539 1310 540 1310 282 1310 538 1311 539 1311 282 1311 283 1312 499 1312 282 1312 541 1313 232 1313 334 1313 638 1314 218 1314 215 1314 639 1315 219 1315 218 1315 639 1316 218 1316 638 1316 640 1317 215 1317 222 1317 640 1318 638 1318 215 1318 641 1319 222 1319 258 1319 640 1320 222 1320 641 1320 642 1321 258 1321 259 1321 641 1322 258 1322 642 1322 643 1323 259 1323 260 1323 642 1324 259 1324 643 1324 644 1325 260 1325 257 1325 643 1326 260 1326 644 1326 645 1327 257 1327 217 1327 644 1328 257 1328 645 1328 646 1329 217 1329 220 1329 645 1330 217 1330 646 1330 647 1331 220 1331 219 1331 646 1332 220 1332 647 1332 647 1333 219 1333 639 1333 648 1334 649 1334 650 1334 651 1335 650 1335 649 1335 652 1336 650 1336 653 1336 654 1337 653 1337 650 1337 648 1338 650 1338 652 1338 654 1339 650 1339 651 1339 655 1340 656 1340 649 1340 657 1341 649 1341 656 1341 648 1342 655 1342 649 1342 651 1343 649 1343 657 1343 658 1344 659 1344 656 1344 660 1345 656 1345 659 1345 661 1346 658 1346 656 1346 655 1347 661 1347 656 1347 657 1348 656 1348 660 1348 662 1349 663 1349 659 1349 664 1350 659 1350 663 1350 658 1351 662 1351 659 1351 660 1352 659 1352 664 1352 665 1353 666 1353 663 1353 667 1354 663 1354 666 1354 662 1355 665 1355 663 1355 664 1356 663 1356 667 1356 668 1357 669 1357 666 1357 670 1358 666 1358 669 1358 665 1359 668 1359 666 1359 670 1360 667 1360 666 1360 671 1361 653 1361 669 1361 672 1362 669 1362 653 1362 673 1363 669 1363 668 1363 671 1364 669 1364 673 1364 670 1365 669 1365 672 1365 671 1366 652 1366 653 1366 672 1367 653 1367 654 1367 674 1368 668 1368 665 1368 675 1369 673 1369 668 1369 675 1370 668 1370 674 1370 662 1371 676 1371 665 1371 677 1372 665 1372 676 1372 674 1373 665 1373 677 1373 678 1374 679 1374 676 1374 680 1375 676 1375 679 1375 662 1376 678 1376 676 1376 677 1377 676 1377 680 1377 681 1378 682 1378 679 1378 683 1379 679 1379 682 1379 678 1380 681 1380 679 1380 680 1381 679 1381 683 1381 681 1382 684 1382 682 1382 685 1383 682 1383 684 1383 683 1384 682 1384 685 1384 686 1385 687 1385 684 1385 688 1386 684 1386 687 1386 689 1387 684 1387 681 1387 689 1388 686 1388 684 1388 688 1389 685 1389 684 1389 690 1390 673 1390 687 1390 691 1391 687 1391 673 1391 686 1392 690 1392 687 1392 688 1393 687 1393 691 1393 690 1394 671 1394 673 1394 691 1395 673 1395 675 1395 689 1396 681 1396 692 1396 693 1397 692 1397 681 1397 694 1398 692 1398 695 1398 696 1399 695 1399 692 1399 689 1400 692 1400 694 1400 696 1401 692 1401 693 1401 697 1402 681 1402 678 1402 693 1403 681 1403 697 1403 252 1404 698 1404 678 1404 699 1405 678 1405 698 1405 252 1406 678 1406 662 1406 697 1407 678 1407 699 1407 252 1408 700 1408 698 1408 701 1409 698 1409 700 1409 699 1410 698 1410 701 1410 645 1411 702 1411 700 1411 703 1412 700 1412 702 1412 704 1413 705 1413 700 1413 644 1414 700 1414 705 1414 252 1415 704 1415 700 1415 644 1416 645 1416 700 1416 701 1417 700 1417 703 1417 645 1418 706 1418 702 1418 707 1419 702 1419 706 1419 707 1420 703 1420 702 1420 646 1421 695 1421 706 1421 708 1422 706 1422 695 1422 645 1423 646 1423 706 1423 707 1424 706 1424 708 1424 709 1425 694 1425 695 1425 646 1426 709 1426 695 1426 708 1427 695 1427 696 1427 710 1428 705 1428 704 1428 644 1429 705 1429 711 1429 712 1430 711 1430 705 1430 712 1431 705 1431 710 1431 252 1432 713 1432 704 1432 714 1433 704 1433 713 1433 710 1434 704 1434 714 1434 252 1435 715 1435 713 1435 716 1436 713 1436 715 1436 714 1437 713 1437 716 1437 252 1438 717 1438 715 1438 718 1439 715 1439 717 1439 716 1440 715 1440 718 1440 719 1441 720 1441 717 1441 721 1442 717 1442 720 1442 722 1443 717 1443 723 1443 717 1444 724 1444 725 1444 726 1445 717 1445 722 1445 719 1446 717 1446 726 1446 252 1447 724 1447 717 1447 718 1448 717 1448 721 1448 642 1449 727 1449 720 1449 728 1450 720 1450 727 1450 641 1451 720 1451 719 1451 641 1452 642 1452 720 1452 728 1453 721 1453 720 1453 643 1454 711 1454 727 1454 729 1455 727 1455 711 1455 642 1456 643 1456 727 1456 728 1457 727 1457 729 1457 643 1458 644 1458 711 1458 729 1459 711 1459 712 1459 725 1460 730 1460 723 1460 731 1461 723 1461 730 1461 732 1462 722 1462 723 1462 725 1463 723 1463 717 1463 732 1464 723 1464 731 1464 725 1465 733 1465 730 1465 734 1466 730 1466 733 1466 731 1467 730 1467 734 1467 725 1468 735 1468 733 1468 736 1469 733 1469 735 1469 734 1470 733 1470 736 1470 737 1471 738 1471 735 1471 739 1472 735 1472 738 1472 737 1473 735 1473 740 1473 741 1474 740 1474 735 1474 741 1475 735 1475 725 1475 736 1476 735 1476 739 1476 742 1477 743 1477 738 1477 744 1478 738 1478 743 1478 737 1479 745 1479 738 1479 742 1480 738 1480 745 1480 739 1481 738 1481 744 1481 746 1482 747 1482 743 1482 748 1483 743 1483 747 1483 742 1484 746 1484 743 1484 748 1485 744 1485 743 1485 749 1486 722 1486 747 1486 750 1487 747 1487 722 1487 746 1488 749 1488 747 1488 748 1489 747 1489 750 1489 751 1490 722 1490 749 1490 751 1491 726 1491 722 1491 750 1492 722 1492 732 1492 741 1493 752 1493 740 1493 753 1494 740 1494 752 1494 754 1495 737 1495 740 1495 754 1496 740 1496 753 1496 741 1497 755 1497 752 1497 756 1498 752 1498 755 1498 753 1499 752 1499 756 1499 757 1500 758 1500 755 1500 759 1501 755 1501 758 1501 760 1502 757 1502 755 1502 760 1503 755 1503 741 1503 756 1504 755 1504 759 1504 761 1505 762 1505 758 1505 763 1506 758 1506 762 1506 757 1507 761 1507 758 1507 759 1508 758 1508 763 1508 761 1509 764 1509 762 1509 765 1510 762 1510 764 1510 763 1511 762 1511 765 1511 766 1512 745 1512 764 1512 767 1513 764 1513 745 1513 761 1514 766 1514 764 1514 767 1515 765 1515 764 1515 768 1516 745 1516 737 1516 742 1517 745 1517 766 1517 767 1518 745 1518 768 1518 768 1519 737 1519 754 1519 769 1520 766 1520 761 1520 770 1521 742 1521 766 1521 770 1522 766 1522 769 1522 771 1523 761 1523 757 1523 769 1524 761 1524 771 1524 772 1525 773 1525 757 1525 774 1526 757 1526 773 1526 760 1527 772 1527 757 1527 771 1528 757 1528 774 1528 751 1529 775 1529 773 1529 776 1530 773 1530 775 1530 772 1531 751 1531 773 1531 774 1532 773 1532 776 1532 751 1533 749 1533 775 1533 777 1534 775 1534 749 1534 776 1535 775 1535 777 1535 778 1536 749 1536 746 1536 778 1537 777 1537 749 1537 779 1538 746 1538 742 1538 778 1539 746 1539 779 1539 779 1540 742 1540 770 1540 780 1541 726 1541 751 1541 781 1542 719 1542 726 1542 781 1543 726 1543 780 1543 782 1544 751 1544 772 1544 780 1545 751 1545 782 1545 245 1546 783 1546 772 1546 784 1547 772 1547 783 1547 245 1548 772 1548 760 1548 782 1549 772 1549 784 1549 785 1550 786 1550 783 1550 787 1551 783 1551 786 1551 245 1552 785 1552 783 1552 784 1553 783 1553 787 1553 640 1554 788 1554 786 1554 789 1555 786 1555 788 1555 790 1556 791 1556 786 1556 638 1557 786 1557 791 1557 785 1558 790 1558 786 1558 640 1559 786 1559 638 1559 787 1560 786 1560 789 1560 640 1561 792 1561 788 1561 793 1562 788 1562 792 1562 793 1563 789 1563 788 1563 641 1564 719 1564 792 1564 794 1565 792 1565 719 1565 640 1566 641 1566 792 1566 793 1567 792 1567 794 1567 794 1568 719 1568 781 1568 795 1569 791 1569 790 1569 638 1570 791 1570 796 1570 797 1571 796 1571 791 1571 797 1572 791 1572 795 1572 785 1573 798 1573 790 1573 799 1574 790 1574 798 1574 795 1575 790 1575 799 1575 800 1576 801 1576 798 1576 802 1577 798 1577 801 1577 785 1578 800 1578 798 1578 799 1579 798 1579 802 1579 800 1580 694 1580 801 1580 803 1581 801 1581 694 1581 802 1582 801 1582 803 1582 804 1583 694 1583 709 1583 800 1584 689 1584 694 1584 803 1585 694 1585 804 1585 647 1586 805 1586 709 1586 806 1587 709 1587 805 1587 646 1588 647 1588 709 1588 806 1589 804 1589 709 1589 639 1590 796 1590 805 1590 807 1591 805 1591 796 1591 647 1592 639 1592 805 1592 806 1593 805 1593 807 1593 639 1594 638 1594 796 1594 807 1595 796 1595 797 1595 800 1596 808 1596 809 1596 810 1597 809 1597 808 1597 800 1598 809 1598 689 1598 811 1599 689 1599 809 1599 811 1600 809 1600 810 1600 648 1601 812 1601 808 1601 813 1602 808 1602 812 1602 648 1603 808 1603 800 1603 810 1604 808 1604 813 1604 648 1605 652 1605 812 1605 814 1606 812 1606 652 1606 813 1607 812 1607 814 1607 815 1608 652 1608 671 1608 814 1609 652 1609 815 1609 816 1610 671 1610 690 1610 815 1611 671 1611 816 1611 817 1612 690 1612 686 1612 817 1613 816 1613 690 1613 818 1614 686 1614 689 1614 817 1615 686 1615 818 1615 818 1616 689 1616 811 1616 819 1617 820 1617 821 1617 822 1618 821 1618 820 1618 823 1619 821 1619 824 1619 825 1620 824 1620 821 1620 826 1621 821 1621 823 1621 826 1622 819 1622 821 1622 825 1623 821 1623 822 1623 827 1624 828 1624 820 1624 829 1625 820 1625 828 1625 819 1626 827 1626 820 1626 822 1627 820 1627 829 1627 830 1628 831 1628 828 1628 832 1629 828 1629 831 1629 833 1630 830 1630 828 1630 827 1631 833 1631 828 1631 829 1632 828 1632 832 1632 834 1633 835 1633 831 1633 836 1634 831 1634 835 1634 837 1635 834 1635 831 1635 830 1636 837 1636 831 1636 832 1637 831 1637 836 1637 838 1638 839 1638 835 1638 840 1639 835 1639 839 1639 841 1640 838 1640 835 1640 834 1641 841 1641 835 1641 836 1642 835 1642 840 1642 842 1643 843 1643 839 1643 844 1644 839 1644 843 1644 838 1645 842 1645 839 1645 844 1646 840 1646 839 1646 845 1647 824 1647 843 1647 846 1648 843 1648 824 1648 847 1649 843 1649 842 1649 845 1650 843 1650 847 1650 844 1651 843 1651 846 1651 845 1652 823 1652 824 1652 846 1653 824 1653 825 1653 848 1654 842 1654 838 1654 849 1655 847 1655 842 1655 849 1656 842 1656 848 1656 850 1657 838 1657 841 1657 848 1658 838 1658 850 1658 851 1659 852 1659 841 1659 853 1660 841 1660 852 1660 834 1661 851 1661 841 1661 850 1662 841 1662 853 1662 851 1663 854 1663 852 1663 855 1664 852 1664 854 1664 853 1665 852 1665 855 1665 856 1666 857 1666 854 1666 858 1667 854 1667 857 1667 851 1668 856 1668 854 1668 855 1669 854 1669 858 1669 859 1670 860 1670 857 1670 861 1671 857 1671 860 1671 862 1672 857 1672 856 1672 862 1673 859 1673 857 1673 861 1674 858 1674 857 1674 863 1675 847 1675 860 1675 864 1676 860 1676 847 1676 859 1677 863 1677 860 1677 861 1678 860 1678 864 1678 863 1679 845 1679 847 1679 864 1680 847 1680 849 1680 865 1681 856 1681 866 1681 867 1682 866 1682 856 1682 868 1683 866 1683 869 1683 870 1684 869 1684 866 1684 868 1685 865 1685 866 1685 870 1686 866 1686 867 1686 871 1687 856 1687 851 1687 862 1688 856 1688 865 1688 867 1689 856 1689 871 1689 834 1690 872 1690 851 1690 873 1691 851 1691 872 1691 871 1692 851 1692 873 1692 252 1693 874 1693 872 1693 875 1694 872 1694 874 1694 252 1695 872 1695 834 1695 873 1696 872 1696 875 1696 252 1697 662 1697 874 1697 876 1698 874 1698 662 1698 875 1699 874 1699 876 1699 877 1700 662 1700 658 1700 877 1701 876 1701 662 1701 661 1702 869 1702 658 1702 878 1703 658 1703 869 1703 877 1704 658 1704 878 1704 661 1705 868 1705 869 1705 878 1706 869 1706 870 1706 724 1707 879 1707 725 1707 880 1708 725 1708 879 1708 881 1709 741 1709 725 1709 881 1710 725 1710 880 1710 724 1711 882 1711 879 1711 883 1712 879 1712 882 1712 880 1713 879 1713 883 1713 884 1714 885 1714 882 1714 886 1715 882 1715 885 1715 884 1716 882 1716 724 1716 883 1717 882 1717 886 1717 887 1718 888 1718 885 1718 889 1719 885 1719 888 1719 890 1720 885 1720 891 1720 884 1721 891 1721 885 1721 890 1722 887 1722 885 1722 886 1723 885 1723 889 1723 892 1724 893 1724 888 1724 894 1725 888 1725 893 1725 892 1726 888 1726 887 1726 889 1727 888 1727 894 1727 895 1728 896 1728 893 1728 897 1729 893 1729 896 1729 892 1730 895 1730 893 1730 897 1731 894 1731 893 1731 760 1732 741 1732 896 1732 898 1733 896 1733 741 1733 895 1734 760 1734 896 1734 897 1735 896 1735 898 1735 898 1736 741 1736 881 1736 884 1737 899 1737 900 1737 901 1738 900 1738 899 1738 884 1739 900 1739 902 1739 903 1740 902 1740 900 1740 903 1741 900 1741 901 1741 904 1742 905 1742 899 1742 906 1743 899 1743 905 1743 884 1744 904 1744 899 1744 901 1745 899 1745 906 1745 907 1746 908 1746 905 1746 909 1747 905 1747 908 1747 910 1748 907 1748 905 1748 911 1749 910 1749 905 1749 904 1750 911 1750 905 1750 906 1751 905 1751 909 1751 912 1752 913 1752 908 1752 914 1753 908 1753 913 1753 907 1754 912 1754 908 1754 909 1755 908 1755 914 1755 915 1756 916 1756 913 1756 917 1757 913 1757 916 1757 915 1758 913 1758 912 1758 914 1759 913 1759 917 1759 918 1760 891 1760 916 1760 919 1761 916 1761 891 1761 915 1762 918 1762 916 1762 919 1763 917 1763 916 1763 884 1764 902 1764 891 1764 920 1765 891 1765 902 1765 890 1766 891 1766 918 1766 919 1767 891 1767 920 1767 920 1768 902 1768 903 1768 921 1769 912 1769 907 1769 922 1770 915 1770 912 1770 922 1771 912 1771 921 1771 923 1772 907 1772 910 1772 921 1773 907 1773 923 1773 924 1774 925 1774 910 1774 926 1775 910 1775 925 1775 927 1776 910 1776 911 1776 927 1777 924 1777 910 1777 923 1778 910 1778 926 1778 928 1779 929 1779 925 1779 930 1780 925 1780 929 1780 924 1781 928 1781 925 1781 926 1782 925 1782 930 1782 890 1783 931 1783 929 1783 932 1784 929 1784 931 1784 933 1785 890 1785 929 1785 928 1786 933 1786 929 1786 930 1787 929 1787 932 1787 890 1788 918 1788 931 1788 934 1789 931 1789 918 1789 934 1790 932 1790 931 1790 935 1791 918 1791 915 1791 934 1792 918 1792 935 1792 935 1793 915 1793 922 1793 936 1794 887 1794 890 1794 937 1795 892 1795 887 1795 937 1796 887 1796 936 1796 938 1797 890 1797 933 1797 936 1798 890 1798 938 1798 928 1799 939 1799 933 1799 940 1800 933 1800 939 1800 938 1801 933 1801 940 1801 245 1802 941 1802 939 1802 942 1803 939 1803 941 1803 245 1804 939 1804 928 1804 940 1805 939 1805 942 1805 245 1806 760 1806 941 1806 943 1807 941 1807 760 1807 942 1808 941 1808 943 1808 944 1809 760 1809 895 1809 944 1810 943 1810 760 1810 945 1811 895 1811 892 1811 944 1812 895 1812 945 1812 945 1813 892 1813 937 1813 946 1814 800 1814 785 1814 947 1815 648 1815 800 1815 947 1816 800 1816 946 1816 245 1817 948 1817 785 1817 949 1818 785 1818 948 1818 946 1819 785 1819 949 1819 245 1820 865 1820 948 1820 950 1821 948 1821 865 1821 949 1822 948 1822 950 1822 951 1823 865 1823 868 1823 826 1824 862 1824 865 1824 826 1825 865 1825 952 1825 245 1826 952 1826 865 1826 950 1827 865 1827 951 1827 953 1828 868 1828 661 1828 951 1829 868 1829 953 1829 954 1830 661 1830 655 1830 954 1831 953 1831 661 1831 955 1832 655 1832 648 1832 954 1833 655 1833 955 1833 955 1834 648 1834 947 1834 826 1835 956 1835 957 1835 958 1836 957 1836 956 1836 826 1837 957 1837 862 1837 959 1838 862 1838 957 1838 959 1839 957 1839 958 1839 826 1840 960 1840 956 1840 961 1841 956 1841 960 1841 958 1842 956 1842 961 1842 826 1843 823 1843 960 1843 962 1844 960 1844 823 1844 961 1845 960 1845 962 1845 963 1846 823 1846 845 1846 962 1847 823 1847 963 1847 964 1848 845 1848 863 1848 963 1849 845 1849 964 1849 965 1850 863 1850 859 1850 965 1851 964 1851 863 1851 966 1852 859 1852 862 1852 965 1853 859 1853 966 1853 966 1854 862 1854 959 1854 967 1855 968 1855 969 1855 970 1856 969 1856 968 1856 971 1857 969 1857 972 1857 973 1858 972 1858 969 1858 974 1859 967 1859 969 1859 971 1860 974 1860 969 1860 973 1861 969 1861 970 1861 245 1862 975 1862 968 1862 976 1863 968 1863 975 1863 245 1864 968 1864 967 1864 970 1865 968 1865 976 1865 977 1866 978 1866 975 1866 979 1867 975 1867 978 1867 248 1868 977 1868 975 1868 245 1869 248 1869 975 1869 976 1870 975 1870 979 1870 980 1871 981 1871 978 1871 982 1872 978 1872 981 1872 977 1873 980 1873 978 1873 979 1874 978 1874 982 1874 983 1875 984 1875 981 1875 985 1876 981 1876 984 1876 980 1877 983 1877 981 1877 982 1878 981 1878 985 1878 986 1879 987 1879 984 1879 988 1880 984 1880 987 1880 986 1881 984 1881 983 1881 988 1882 985 1882 984 1882 971 1883 972 1883 987 1883 989 1884 987 1884 972 1884 990 1885 987 1885 986 1885 990 1886 971 1886 987 1886 988 1887 987 1887 989 1887 989 1888 972 1888 973 1888 991 1889 983 1889 980 1889 992 1890 986 1890 983 1890 992 1891 983 1891 991 1891 993 1892 980 1892 977 1892 991 1893 980 1893 993 1893 994 1894 995 1894 977 1894 996 1895 977 1895 995 1895 248 1896 994 1896 977 1896 993 1897 977 1897 996 1897 994 1898 997 1898 995 1898 998 1899 995 1899 997 1899 996 1900 995 1900 998 1900 999 1901 1000 1901 997 1901 1001 1902 997 1902 1000 1902 994 1903 999 1903 997 1903 998 1904 997 1904 1001 1904 999 1905 1002 1905 1000 1905 1003 1906 1000 1906 1002 1906 1003 1907 1001 1907 1000 1907 990 1908 986 1908 1002 1908 1004 1909 1002 1909 986 1909 1005 1910 1002 1910 999 1910 1005 1911 990 1911 1002 1911 1003 1912 1002 1912 1004 1912 1004 1913 986 1913 992 1913 1006 1914 999 1914 1007 1914 1008 1915 1007 1915 999 1915 833 1916 1007 1916 830 1916 1009 1917 830 1917 1007 1917 833 1918 1006 1918 1007 1918 1009 1919 1007 1919 1008 1919 1010 1920 999 1920 994 1920 1005 1921 999 1921 1006 1921 1008 1922 999 1922 1010 1922 248 1923 1011 1923 994 1923 1012 1924 994 1924 1011 1924 1010 1925 994 1925 1012 1925 252 1926 1013 1926 1011 1926 1014 1927 1011 1927 1013 1927 252 1928 1011 1928 248 1928 1012 1929 1011 1929 1014 1929 252 1930 834 1930 1013 1930 1015 1931 1013 1931 834 1931 1014 1932 1013 1932 1015 1932 1016 1933 834 1933 837 1933 1016 1934 1015 1934 834 1934 1017 1935 837 1935 830 1935 1016 1936 837 1936 1017 1936 1017 1937 830 1937 1009 1937 252 1938 1018 1938 724 1938 1019 1939 724 1939 1018 1939 1020 1940 884 1940 724 1940 1020 1941 724 1941 1019 1941 252 1942 1021 1942 1018 1942 1022 1943 1018 1943 1021 1943 1019 1944 1018 1944 1022 1944 252 1945 1023 1945 1021 1945 1024 1946 1021 1946 1023 1946 1022 1947 1021 1947 1024 1947 1025 1948 1026 1948 1023 1948 1027 1949 1023 1949 1026 1949 1028 1950 1029 1950 1023 1950 1030 1951 1023 1951 1029 1951 252 1952 1028 1952 1023 1952 1030 1953 1025 1953 1023 1953 1024 1954 1023 1954 1027 1954 927 1955 911 1955 1026 1955 1031 1956 1026 1956 911 1956 927 1957 1026 1957 1025 1957 1027 1958 1026 1958 1031 1958 1032 1959 911 1959 904 1959 1032 1960 1031 1960 911 1960 1033 1961 904 1961 884 1961 1032 1962 904 1962 1033 1962 1033 1963 884 1963 1020 1963 252 1964 1034 1964 1035 1964 1036 1965 1035 1965 1034 1965 252 1966 1035 1966 1028 1966 1037 1967 1028 1967 1035 1967 1037 1968 1035 1968 1036 1968 252 1969 1038 1969 1034 1969 1039 1970 1034 1970 1038 1970 1036 1971 1034 1971 1039 1971 1040 1972 1041 1972 1038 1972 1042 1973 1038 1973 1041 1973 1043 1974 1040 1974 1038 1974 252 1975 1043 1975 1038 1975 1039 1976 1038 1976 1042 1976 1040 1977 1044 1977 1041 1977 1045 1978 1041 1978 1044 1978 1042 1979 1041 1979 1045 1979 1046 1980 1047 1980 1044 1980 1048 1981 1044 1981 1047 1981 1049 1982 1044 1982 1040 1982 1049 1983 1046 1983 1044 1983 1045 1984 1044 1984 1048 1984 1050 1985 1029 1985 1047 1985 1051 1986 1047 1986 1029 1986 1052 1987 1047 1987 1046 1987 1052 1988 1050 1988 1047 1988 1051 1989 1048 1989 1047 1989 1053 1990 1029 1990 1028 1990 1030 1991 1029 1991 1050 1991 1051 1992 1029 1992 1053 1992 1053 1993 1028 1993 1037 1993 1054 1994 1040 1994 1043 1994 1055 1995 1049 1995 1040 1995 1055 1996 1040 1996 1054 1996 252 1997 1056 1997 1043 1997 1057 1998 1043 1998 1056 1998 1054 1999 1043 1999 1057 1999 1058 2000 1059 2000 1056 2000 1060 2001 1056 2001 1059 2001 242 2002 1058 2002 1056 2002 252 2003 242 2003 1056 2003 1057 2004 1056 2004 1060 2004 1061 2005 1062 2005 1059 2005 1063 2006 1059 2006 1062 2006 1058 2007 1061 2007 1059 2007 1060 2008 1059 2008 1063 2008 1064 2009 1065 2009 1062 2009 1066 2010 1062 2010 1065 2010 1061 2011 1064 2011 1062 2011 1063 2012 1062 2012 1066 2012 1052 2013 1046 2013 1065 2013 1067 2014 1065 2014 1046 2014 1052 2015 1065 2015 1064 2015 1067 2016 1066 2016 1065 2016 1068 2017 1046 2017 1049 2017 1067 2018 1046 2018 1068 2018 1068 2019 1049 2019 1055 2019 1069 2020 1064 2020 1061 2020 1070 2021 1052 2021 1064 2021 1070 2022 1064 2022 1069 2022 1071 2023 1061 2023 1058 2023 1069 2024 1061 2024 1071 2024 1072 2025 1073 2025 1058 2025 1074 2026 1058 2026 1073 2026 242 2027 1072 2027 1058 2027 1071 2028 1058 2028 1074 2028 1072 2029 1075 2029 1073 2029 1076 2030 1073 2030 1075 2030 1074 2031 1073 2031 1076 2031 1030 2032 1077 2032 1075 2032 1078 2033 1075 2033 1077 2033 1072 2034 1030 2034 1075 2034 1076 2035 1075 2035 1078 2035 1030 2036 1050 2036 1077 2036 1079 2037 1077 2037 1050 2037 1079 2038 1078 2038 1077 2038 1080 2039 1050 2039 1052 2039 1079 2040 1050 2040 1080 2040 1080 2041 1052 2041 1070 2041 1081 2042 1025 2042 1030 2042 1082 2043 927 2043 1025 2043 1082 2044 1025 2044 1081 2044 1083 2045 1030 2045 1072 2045 1081 2046 1030 2046 1083 2046 242 2047 1084 2047 1072 2047 1085 2048 1072 2048 1084 2048 1083 2049 1072 2049 1085 2049 245 2050 1086 2050 1084 2050 1087 2051 1084 2051 1086 2051 242 2052 245 2052 1084 2052 1085 2053 1084 2053 1087 2053 245 2054 928 2054 1086 2054 1088 2055 1086 2055 928 2055 1087 2056 1086 2056 1088 2056 1089 2057 928 2057 924 2057 1089 2058 1088 2058 928 2058 1090 2059 924 2059 927 2059 1089 2060 924 2060 1090 2060 1090 2061 927 2061 1082 2061 245 2062 1091 2062 952 2062 1092 2063 952 2063 1091 2063 1093 2064 826 2064 952 2064 1093 2065 952 2065 1092 2065 245 2066 1094 2066 1091 2066 1095 2067 1091 2067 1094 2067 1092 2068 1091 2068 1095 2068 245 2069 1006 2069 1094 2069 1096 2070 1094 2070 1006 2070 1095 2071 1094 2071 1096 2071 1097 2072 1006 2072 833 2072 1098 2073 1005 2073 1006 2073 245 2074 1098 2074 1006 2074 1096 2075 1006 2075 1097 2075 1099 2076 833 2076 827 2076 1097 2077 833 2077 1099 2077 1100 2078 827 2078 819 2078 1100 2079 1099 2079 827 2079 1101 2080 819 2080 826 2080 1100 2081 819 2081 1101 2081 1101 2082 826 2082 1093 2082 245 2083 1102 2083 1103 2083 1104 2084 1103 2084 1102 2084 245 2085 1103 2085 1098 2085 1105 2086 1098 2086 1103 2086 1105 2087 1103 2087 1104 2087 245 2088 967 2088 1102 2088 1106 2089 1102 2089 967 2089 1104 2090 1102 2090 1106 2090 1107 2091 967 2091 974 2091 1106 2092 967 2092 1107 2092 1108 2093 974 2093 971 2093 1107 2094 974 2094 1108 2094 1109 2095 971 2095 990 2095 1108 2096 971 2096 1109 2096 1110 2097 990 2097 1005 2097 1110 2098 1109 2098 990 2098 1111 2099 1005 2099 1098 2099 1110 2100 1005 2100 1111 2100 1111 2101 1098 2101 1105 2101 250 2102 248 2102 245 2102 249 2103 248 2103 250 2103 205 2104 250 2104 245 2104 246 2105 205 2105 245 2105 244 2106 242 2106 252 2106 243 2107 242 2107 244 2107 251 2108 244 2108 252 2108 253 2109 251 2109 252 2109 205 2110 207 2110 206 2110 205 2111 206 2111 250 2111 251 2112 254 2112 241 2112 251 2113 241 2113 244 2113 664 2114 667 2114 1112 2114 670 2115 1112 2115 667 2115 660 2116 664 2116 1112 2116 657 2117 660 2117 1112 2117 651 2118 657 2118 1112 2118 654 2119 651 2119 1112 2119 672 2120 654 2120 1112 2120 670 2121 672 2121 1112 2121 683 2122 685 2122 1113 2122 688 2123 1113 2123 685 2123 680 2124 683 2124 1113 2124 677 2125 680 2125 1113 2125 674 2126 677 2126 1113 2126 675 2127 674 2127 1113 2127 691 2128 675 2128 1113 2128 688 2129 691 2129 1113 2129 701 2130 703 2130 1114 2130 707 2131 1114 2131 703 2131 699 2132 701 2132 1114 2132 697 2133 699 2133 1114 2133 693 2134 697 2134 1114 2134 696 2135 693 2135 1114 2135 708 2136 696 2136 1114 2136 707 2137 708 2137 1114 2137 718 2138 721 2138 1115 2138 728 2139 1115 2139 721 2139 716 2140 718 2140 1115 2140 714 2141 716 2141 1115 2141 710 2142 714 2142 1115 2142 712 2143 710 2143 1115 2143 729 2144 712 2144 1115 2144 728 2145 729 2145 1115 2145 739 2146 744 2146 1116 2146 748 2147 1116 2147 744 2147 736 2148 739 2148 1116 2148 734 2149 736 2149 1116 2149 731 2150 734 2150 1116 2150 732 2151 731 2151 1116 2151 750 2152 732 2152 1116 2152 748 2153 750 2153 1116 2153 763 2154 765 2154 1117 2154 767 2155 1117 2155 765 2155 759 2156 763 2156 1117 2156 756 2157 759 2157 1117 2157 753 2158 756 2158 1117 2158 754 2159 753 2159 1117 2159 768 2160 754 2160 1117 2160 767 2161 768 2161 1117 2161 776 2162 777 2162 1118 2162 778 2163 1118 2163 777 2163 774 2164 776 2164 1118 2164 771 2165 774 2165 1118 2165 769 2166 771 2166 1118 2166 770 2167 769 2167 1118 2167 779 2168 770 2168 1118 2168 778 2169 779 2169 1118 2169 787 2170 789 2170 1119 2170 793 2171 1119 2171 789 2171 784 2172 787 2172 1119 2172 782 2173 784 2173 1119 2173 780 2174 782 2174 1119 2174 781 2175 780 2175 1119 2175 794 2176 781 2176 1119 2176 793 2177 794 2177 1119 2177 803 2178 804 2178 1120 2178 806 2179 1120 2179 804 2179 802 2180 803 2180 1120 2180 799 2181 802 2181 1120 2181 795 2182 799 2182 1120 2182 797 2183 795 2183 1120 2183 807 2184 797 2184 1120 2184 806 2185 807 2185 1120 2185 815 2186 816 2186 1121 2186 817 2187 1121 2187 816 2187 814 2188 815 2188 1121 2188 813 2189 814 2189 1121 2189 810 2190 813 2190 1121 2190 811 2191 810 2191 1121 2191 818 2192 811 2192 1121 2192 817 2193 818 2193 1121 2193 836 2194 840 2194 1122 2194 844 2195 1122 2195 840 2195 832 2196 836 2196 1122 2196 829 2197 832 2197 1122 2197 822 2198 829 2198 1122 2198 825 2199 822 2199 1122 2199 846 2200 825 2200 1122 2200 844 2201 846 2201 1122 2201 855 2202 858 2202 1123 2202 861 2203 1123 2203 858 2203 853 2204 855 2204 1123 2204 850 2205 853 2205 1123 2205 848 2206 850 2206 1123 2206 849 2207 848 2207 1123 2207 864 2208 849 2208 1123 2208 861 2209 864 2209 1123 2209 875 2210 876 2210 1124 2210 877 2211 1124 2211 876 2211 873 2212 875 2212 1124 2212 871 2213 873 2213 1124 2213 867 2214 871 2214 1124 2214 870 2215 867 2215 1124 2215 878 2216 870 2216 1124 2216 877 2217 878 2217 1124 2217 889 2218 894 2218 1125 2218 897 2219 1125 2219 894 2219 886 2220 889 2220 1125 2220 883 2221 886 2221 1125 2221 880 2222 883 2222 1125 2222 881 2223 880 2223 1125 2223 898 2224 881 2224 1125 2224 897 2225 898 2225 1125 2225 914 2226 917 2226 1126 2226 919 2227 1126 2227 917 2227 909 2228 914 2228 1126 2228 906 2229 909 2229 1126 2229 901 2230 906 2230 1126 2230 903 2231 901 2231 1126 2231 920 2232 903 2232 1126 2232 919 2233 920 2233 1126 2233 930 2234 932 2234 1127 2234 934 2235 1127 2235 932 2235 926 2236 930 2236 1127 2236 923 2237 926 2237 1127 2237 921 2238 923 2238 1127 2238 922 2239 921 2239 1127 2239 935 2240 922 2240 1127 2240 934 2241 935 2241 1127 2241 942 2242 943 2242 1128 2242 944 2243 1128 2243 943 2243 940 2244 942 2244 1128 2244 938 2245 940 2245 1128 2245 936 2246 938 2246 1128 2246 937 2247 936 2247 1128 2247 945 2248 937 2248 1128 2248 944 2249 945 2249 1128 2249 951 2250 953 2250 1129 2250 954 2251 1129 2251 953 2251 950 2252 951 2252 1129 2252 949 2253 950 2253 1129 2253 946 2254 949 2254 1129 2254 947 2255 946 2255 1129 2255 955 2256 947 2256 1129 2256 954 2257 955 2257 1129 2257 963 2258 964 2258 1130 2258 965 2259 1130 2259 964 2259 962 2260 963 2260 1130 2260 961 2261 962 2261 1130 2261 958 2262 961 2262 1130 2262 959 2263 958 2263 1130 2263 966 2264 959 2264 1130 2264 965 2265 966 2265 1130 2265 982 2266 985 2266 1131 2266 988 2267 1131 2267 985 2267 979 2268 982 2268 1131 2268 976 2269 979 2269 1131 2269 970 2270 976 2270 1131 2270 973 2271 970 2271 1131 2271 989 2272 973 2272 1131 2272 988 2273 989 2273 1131 2273 998 2274 1001 2274 1132 2274 1003 2275 1132 2275 1001 2275 996 2276 998 2276 1132 2276 993 2277 996 2277 1132 2277 991 2278 993 2278 1132 2278 992 2279 991 2279 1132 2279 1004 2280 992 2280 1132 2280 1003 2281 1004 2281 1132 2281 1014 2282 1015 2282 1133 2282 1016 2283 1133 2283 1015 2283 1012 2284 1014 2284 1133 2284 1010 2285 1012 2285 1133 2285 1008 2286 1010 2286 1133 2286 1009 2287 1008 2287 1133 2287 1017 2288 1009 2288 1133 2288 1016 2289 1017 2289 1133 2289 1027 2290 1031 2290 1134 2290 1032 2291 1134 2291 1031 2291 1024 2292 1027 2292 1134 2292 1022 2293 1024 2293 1134 2293 1019 2294 1022 2294 1134 2294 1020 2295 1019 2295 1134 2295 1033 2296 1020 2296 1134 2296 1032 2297 1033 2297 1134 2297 1045 2298 1048 2298 1135 2298 1051 2299 1135 2299 1048 2299 1042 2300 1045 2300 1135 2300 1039 2301 1042 2301 1135 2301 1036 2302 1039 2302 1135 2302 1037 2303 1036 2303 1135 2303 1053 2304 1037 2304 1135 2304 1051 2305 1053 2305 1135 2305 1063 2306 1066 2306 1136 2306 1067 2307 1136 2307 1066 2307 1060 2308 1063 2308 1136 2308 1057 2309 1060 2309 1136 2309 1054 2310 1057 2310 1136 2310 1055 2311 1054 2311 1136 2311 1068 2312 1055 2312 1136 2312 1067 2313 1068 2313 1136 2313 1076 2314 1078 2314 1137 2314 1079 2315 1137 2315 1078 2315 1074 2316 1076 2316 1137 2316 1071 2317 1074 2317 1137 2317 1069 2318 1071 2318 1137 2318 1070 2319 1069 2319 1137 2319 1080 2320 1070 2320 1137 2320 1079 2321 1080 2321 1137 2321 1087 2322 1088 2322 1138 2322 1089 2323 1138 2323 1088 2323 1085 2324 1087 2324 1138 2324 1083 2325 1085 2325 1138 2325 1081 2326 1083 2326 1138 2326 1082 2327 1081 2327 1138 2327 1090 2328 1082 2328 1138 2328 1089 2329 1090 2329 1138 2329 1097 2330 1099 2330 1139 2330 1100 2331 1139 2331 1099 2331 1096 2332 1097 2332 1139 2332 1095 2333 1096 2333 1139 2333 1092 2334 1095 2334 1139 2334 1093 2335 1092 2335 1139 2335 1101 2336 1093 2336 1139 2336 1100 2337 1101 2337 1139 2337 1108 2338 1109 2338 1140 2338 1110 2339 1140 2339 1109 2339 1107 2340 1108 2340 1140 2340 1106 2341 1107 2341 1140 2341 1104 2342 1106 2342 1140 2342 1105 2343 1104 2343 1140 2343 1111 2344 1105 2344 1140 2344 1110 2345 1111 2345 1140 2345 1141 2346 1142 2346 1143 2346 1144 2347 1143 2347 1142 2347 1145 2348 1142 2348 1141 2348 1146 2349 1144 2349 1142 2349 1147 2350 1146 2350 1142 2350 1148 2351 1147 2351 1142 2351 1149 2352 1142 2352 1145 2352 1150 2353 1148 2353 1142 2353 1149 2354 1150 2354 1142 2354 1151 2355 1143 2355 1152 2355 1153 2356 1152 2356 1143 2356 1141 2357 1143 2357 1151 2357 1144 2358 1153 2358 1143 2358 1154 2359 1152 2359 1155 2359 1156 2360 1155 2360 1152 2360 1151 2361 1152 2361 1154 2361 1153 2362 1156 2362 1152 2362 1157 2363 1154 2363 1155 2363 1156 2364 1157 2364 1155 2364 1158 2365 1151 2365 1154 2365 1157 2366 1158 2366 1154 2366 1159 2367 1141 2367 1151 2367 1158 2368 1159 2368 1151 2368 1160 2369 1141 2369 1159 2369 1161 2370 1141 2370 1160 2370 1162 2371 1141 2371 1161 2371 1145 2372 1141 2372 1162 2372 1146 2373 1159 2373 1158 2373 1163 2374 1159 2374 1146 2374 1164 2375 1160 2375 1159 2375 1165 2376 1164 2376 1159 2376 1166 2377 1165 2377 1159 2377 1167 2378 1166 2378 1159 2378 1168 2379 1167 2379 1159 2379 1169 2380 1168 2380 1159 2380 1170 2381 1169 2381 1159 2381 1163 2382 1170 2382 1159 2382 1153 2383 1158 2383 1157 2383 1144 2384 1158 2384 1153 2384 1146 2385 1158 2385 1144 2385 1153 2386 1157 2386 1156 2386 1171 2387 1146 2387 1147 2387 1172 2388 1146 2388 1171 2388 1172 2389 1163 2389 1146 2389 1173 2390 1171 2390 1147 2390 1174 2391 1147 2391 1161 2391 1175 2392 1161 2392 1147 2392 1173 2393 1147 2393 1174 2393 1148 2394 1175 2394 1147 2394 1160 2395 1171 2395 1176 2395 1173 2396 1176 2396 1171 2396 1177 2397 1171 2397 1160 2397 1177 2398 1178 2398 1171 2398 1179 2399 1171 2399 1178 2399 1180 2400 1172 2400 1171 2400 1181 2401 1180 2401 1171 2401 1182 2402 1181 2402 1171 2402 1183 2403 1182 2403 1171 2403 1179 2404 1183 2404 1171 2404 1184 2405 1176 2405 1185 2405 1186 2406 1185 2406 1176 2406 1187 2407 1176 2407 1184 2407 1160 2408 1176 2408 1187 2408 1173 2409 1186 2409 1176 2409 1184 2410 1185 2410 1188 2410 1189 2411 1188 2411 1185 2411 1186 2412 1189 2412 1185 2412 1190 2413 1184 2413 1188 2413 1189 2414 1190 2414 1188 2414 1174 2415 1187 2415 1184 2415 1190 2416 1174 2416 1184 2416 1161 2417 1160 2417 1187 2417 1174 2418 1161 2418 1187 2418 1164 2419 1177 2419 1160 2419 1191 2420 1161 2420 1175 2420 1192 2421 1161 2421 1191 2421 1162 2422 1161 2422 1192 2422 1173 2423 1174 2423 1190 2423 1186 2424 1190 2424 1189 2424 1173 2425 1190 2425 1186 2425 1193 2426 1178 2426 1177 2426 1194 2427 1179 2427 1178 2427 1194 2428 1178 2428 1193 2428 1195 2429 1177 2429 1164 2429 1195 2430 1193 2430 1177 2430 1196 2431 1164 2431 1165 2431 1196 2432 1195 2432 1164 2432 1197 2433 1165 2433 1166 2433 1197 2434 1196 2434 1165 2434 1198 2435 1166 2435 1167 2435 1198 2436 1197 2436 1166 2436 1199 2437 1167 2437 1168 2437 1199 2438 1198 2438 1167 2438 1200 2439 1168 2439 1169 2439 1200 2440 1199 2440 1168 2440 1201 2441 1169 2441 1170 2441 1201 2442 1200 2442 1169 2442 1202 2443 1170 2443 1163 2443 1202 2444 1201 2444 1170 2444 1203 2445 1163 2445 1172 2445 1203 2446 1202 2446 1163 2446 1204 2447 1172 2447 1180 2447 1203 2448 1172 2448 1204 2448 1205 2449 1180 2449 1181 2449 1204 2450 1180 2450 1205 2450 1206 2451 1181 2451 1182 2451 1205 2452 1181 2452 1206 2452 1207 2453 1182 2453 1183 2453 1206 2454 1182 2454 1207 2454 1208 2455 1183 2455 1179 2455 1207 2456 1183 2456 1208 2456 1208 2457 1179 2457 1194 2457 1209 2458 1210 2458 1211 2458 1212 2459 1211 2459 1210 2459 1213 2460 1209 2460 1211 2460 1214 2461 1213 2461 1211 2461 1215 2462 1211 2462 1212 2462 1214 2463 1211 2463 1215 2463 1209 2464 1216 2464 1210 2464 1217 2465 1210 2465 1216 2465 1218 2466 1212 2466 1210 2466 1218 2467 1210 2467 1217 2467 1219 2468 1220 2468 1216 2468 1221 2469 1216 2469 1220 2469 1209 2470 1219 2470 1216 2470 1217 2471 1216 2471 1221 2471 1219 2472 1222 2472 1220 2472 1221 2473 1220 2473 1222 2473 1223 2474 1224 2474 1222 2474 1225 2475 1222 2475 1224 2475 1219 2476 1223 2476 1222 2476 1221 2477 1222 2477 1225 2477 1226 2478 1227 2478 1224 2478 1228 2479 1224 2479 1227 2479 1223 2480 1226 2480 1224 2480 1225 2481 1224 2481 1228 2481 1226 2482 1229 2482 1227 2482 1230 2483 1227 2483 1229 2483 1228 2484 1227 2484 1230 2484 1231 2485 1232 2485 1229 2485 1233 2486 1229 2486 1232 2486 1226 2487 1231 2487 1229 2487 1230 2488 1229 2488 1233 2488 1234 2489 1232 2489 1231 2489 1233 2490 1232 2490 1235 2490 1236 2491 1235 2491 1232 2491 1234 2492 1236 2492 1232 2492 1202 2493 1231 2493 1226 2493 1203 2494 1234 2494 1231 2494 1203 2495 1231 2495 1202 2495 1200 2496 1226 2496 1223 2496 1201 2497 1226 2497 1200 2497 1202 2498 1226 2498 1201 2498 1197 2499 1223 2499 1219 2499 1198 2500 1223 2500 1197 2500 1199 2501 1223 2501 1198 2501 1200 2502 1223 2502 1199 2502 1197 2503 1219 2503 1209 2503 1195 2504 1209 2504 1213 2504 1196 2505 1209 2505 1195 2505 1197 2506 1209 2506 1196 2506 1237 2507 1213 2507 1214 2507 1193 2508 1213 2508 1237 2508 1195 2509 1213 2509 1193 2509 1238 2510 1215 2510 1212 2510 1235 2511 1238 2511 1212 2511 1218 2512 1235 2512 1212 2512 1239 2513 1240 2513 1215 2513 1214 2514 1215 2514 1240 2514 1238 2515 1239 2515 1215 2515 1241 2516 1242 2516 1240 2516 1243 2517 1240 2517 1242 2517 1239 2518 1241 2518 1240 2518 1214 2519 1240 2519 1243 2519 1241 2520 1244 2520 1242 2520 1245 2521 1242 2521 1244 2521 1243 2522 1242 2522 1245 2522 1246 2523 1244 2523 1241 2523 1245 2524 1244 2524 1246 2524 1247 2525 1241 2525 1239 2525 1248 2526 1241 2526 1247 2526 1246 2527 1241 2527 1248 2527 1236 2528 1239 2528 1238 2528 1247 2529 1239 2529 1236 2529 1236 2530 1238 2530 1235 2530 1218 2531 1233 2531 1235 2531 1217 2532 1230 2532 1233 2532 1218 2533 1217 2533 1233 2533 1221 2534 1228 2534 1230 2534 1217 2535 1221 2535 1230 2535 1221 2536 1225 2536 1228 2536 1234 2537 1247 2537 1236 2537 1249 2538 1248 2538 1247 2538 1234 2539 1249 2539 1247 2539 1249 2540 1246 2540 1248 2540 1250 2541 1245 2541 1246 2541 1249 2542 1250 2542 1246 2542 1237 2543 1243 2543 1245 2543 1250 2544 1237 2544 1245 2544 1237 2545 1214 2545 1243 2545 1208 2546 1237 2546 1250 2546 1194 2547 1193 2547 1237 2547 1208 2548 1194 2548 1237 2548 1205 2549 1250 2549 1249 2549 1207 2550 1208 2550 1250 2550 1206 2551 1207 2551 1250 2551 1205 2552 1206 2552 1250 2552 1205 2553 1249 2553 1234 2553 1204 2554 1205 2554 1234 2554 1203 2555 1204 2555 1234 2555 1251 2556 1252 2556 1253 2556 1254 2557 1253 2557 1252 2557 1255 2558 1251 2558 1253 2558 1256 2559 1255 2559 1253 2559 1257 2560 1256 2560 1253 2560 1257 2561 1253 2561 1254 2561 1258 2562 1259 2562 1252 2562 1260 2563 1252 2563 1259 2563 1251 2564 1258 2564 1252 2564 1260 2565 1254 2565 1252 2565 1261 2566 1262 2566 1259 2566 1263 2567 1259 2567 1262 2567 1258 2568 1261 2568 1259 2568 1260 2569 1259 2569 1263 2569 1261 2570 1264 2570 1262 2570 1265 2571 1262 2571 1264 2571 1263 2572 1262 2572 1265 2572 1266 2573 1264 2573 1261 2573 1265 2574 1264 2574 1266 2574 1267 2575 1261 2575 1258 2575 1268 2576 1261 2576 1267 2576 1266 2577 1261 2577 1268 2577 1269 2578 1258 2578 1251 2578 1267 2579 1258 2579 1269 2579 1269 2580 1251 2580 1255 2580 1256 2581 1270 2581 1255 2581 1271 2582 1255 2582 1270 2582 1269 2583 1255 2583 1271 2583 1272 2584 1273 2584 1270 2584 1274 2585 1270 2585 1273 2585 1256 2586 1272 2586 1270 2586 1274 2587 1271 2587 1270 2587 1275 2588 1276 2588 1273 2588 1277 2589 1273 2589 1276 2589 1272 2590 1275 2590 1273 2590 1274 2591 1273 2591 1277 2591 1275 2592 1278 2592 1276 2592 1279 2593 1276 2593 1278 2593 1277 2594 1276 2594 1279 2594 1280 2595 1278 2595 1275 2595 1279 2596 1278 2596 1280 2596 1281 2597 1275 2597 1272 2597 1282 2598 1275 2598 1281 2598 1280 2599 1275 2599 1282 2599 1257 2600 1272 2600 1256 2600 1281 2601 1272 2601 1257 2601 1260 2602 1283 2602 1254 2602 1284 2603 1254 2603 1283 2603 1257 2604 1254 2604 1284 2604 1260 2605 1285 2605 1283 2605 1286 2606 1283 2606 1285 2606 1287 2607 1284 2607 1283 2607 1287 2608 1283 2608 1286 2608 1260 2609 1288 2609 1285 2609 1289 2610 1285 2610 1288 2610 1289 2611 1286 2611 1285 2611 1263 2612 1290 2612 1288 2612 1291 2613 1288 2613 1290 2613 1260 2614 1263 2614 1288 2614 1291 2615 1289 2615 1288 2615 1292 2616 1290 2616 1293 2616 1265 2617 1293 2617 1290 2617 1294 2618 1290 2618 1292 2618 1291 2619 1290 2619 1294 2619 1263 2620 1265 2620 1290 2620 1268 2621 1292 2621 1293 2621 1266 2622 1268 2622 1293 2622 1265 2623 1266 2623 1293 2623 1267 2624 1294 2624 1292 2624 1268 2625 1267 2625 1292 2625 1269 2626 1295 2626 1294 2626 1296 2627 1294 2627 1295 2627 1267 2628 1269 2628 1294 2628 1296 2629 1291 2629 1294 2629 1271 2630 1297 2630 1295 2630 1296 2631 1295 2631 1297 2631 1269 2632 1271 2632 1295 2632 1274 2633 1297 2633 1271 2633 1298 2634 1297 2634 1299 2634 1274 2635 1299 2635 1297 2635 1298 2636 1296 2636 1297 2636 1287 2637 1300 2637 1284 2637 1257 2638 1284 2638 1300 2638 1301 2639 1302 2639 1300 2639 1281 2640 1300 2640 1302 2640 1303 2641 1301 2641 1300 2641 1287 2642 1303 2642 1300 2642 1281 2643 1257 2643 1300 2643 1301 2644 1304 2644 1302 2644 1282 2645 1302 2645 1304 2645 1282 2646 1281 2646 1302 2646 1279 2647 1304 2647 1301 2647 1280 2648 1282 2648 1304 2648 1279 2649 1280 2649 1304 2649 1303 2650 1305 2650 1301 2650 1277 2651 1301 2651 1305 2651 1277 2652 1279 2652 1301 2652 1306 2653 1299 2653 1305 2653 1274 2654 1305 2654 1299 2654 1303 2655 1306 2655 1305 2655 1274 2656 1277 2656 1305 2656 1306 2657 1298 2657 1299 2657 1175 2658 1286 2658 1289 2658 1148 2659 1287 2659 1286 2659 1148 2660 1286 2660 1175 2660 1191 2661 1289 2661 1291 2661 1191 2662 1175 2662 1289 2662 1192 2663 1291 2663 1296 2663 1192 2664 1191 2664 1291 2664 1162 2665 1296 2665 1298 2665 1162 2666 1192 2666 1296 2666 1145 2667 1298 2667 1306 2667 1145 2668 1162 2668 1298 2668 1149 2669 1306 2669 1303 2669 1149 2670 1145 2670 1306 2670 1150 2671 1303 2671 1287 2671 1149 2672 1303 2672 1150 2672 1150 2673 1287 2673 1148 2673 1400 2674 1385 2674 1388 2674 1401 2675 1386 2675 1385 2675 1401 2676 1385 2676 1400 2676 1402 2677 1388 2677 1387 2677 1402 2678 1400 2678 1388 2678 1395 2679 1387 2679 1389 2679 1403 2680 1387 2680 1395 2680 1404 2681 1402 2681 1387 2681 1403 2682 1404 2682 1387 2682 1393 2683 1392 2683 1391 2683 1394 2684 1392 2684 1393 2684 1403 2685 1395 2685 1397 2685 1405 2686 1397 2686 1398 2686 1405 2687 1403 2687 1397 2687 1406 2688 1398 2688 1407 2688 1406 2689 1405 2689 1398 2689 1408 2690 1409 2690 1386 2690 1401 2691 1408 2691 1386 2691 1410 2692 1411 2692 1409 2692 1413 2693 1410 2693 1409 2693 1408 2694 1413 2694 1409 2694 1416 2695 1419 2695 1417 2695 1424 2696 1407 2696 1413 2696 1425 2697 1424 2697 1413 2697 1408 2698 1425 2698 1413 2698 1424 2699 1406 2699 1407 2699 1426 2700 1400 2700 1402 2700 1427 2701 1401 2701 1400 2701 1427 2702 1400 2702 1426 2702 1428 2703 1402 2703 1404 2703 1426 2704 1402 2704 1428 2704 1429 2705 1404 2705 1403 2705 1428 2706 1404 2706 1429 2706 1430 2707 1403 2707 1405 2707 1429 2708 1403 2708 1430 2708 1431 2709 1405 2709 1406 2709 1430 2710 1405 2710 1431 2710 1432 2711 1406 2711 1424 2711 1431 2712 1406 2712 1432 2712 1433 2713 1424 2713 1425 2713 1433 2714 1432 2714 1424 2714 1434 2715 1425 2715 1408 2715 1433 2716 1425 2716 1434 2716 1435 2717 1408 2717 1401 2717 1434 2718 1408 2718 1435 2718 1435 2719 1401 2719 1427 2719 1431 2720 1432 2720 1460 2720 1433 2721 1460 2721 1432 2721 1430 2722 1431 2722 1460 2722 1429 2723 1430 2723 1460 2723 1428 2724 1429 2724 1460 2724 1426 2725 1428 2725 1460 2725 1427 2726 1426 2726 1460 2726 1435 2727 1427 2727 1460 2727 1434 2728 1435 2728 1460 2728 1433 2729 1434 2729 1460 2729</p>
+ </polylist>
+ <polylist material="black-material" count="248">
+ <input semantic="VERTEX" source="#wrist_fe-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#wrist_fe-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>1307 2730 1308 2730 1309 2730 1310 2731 1309 2731 1308 2731 1311 2732 1307 2732 1309 2732 1312 2733 1311 2733 1309 2733 1313 2734 1312 2734 1309 2734 1314 2735 1313 2735 1309 2735 1315 2736 1314 2736 1309 2736 1316 2737 1315 2737 1309 2737 1317 2738 1316 2738 1309 2738 1318 2739 1317 2739 1309 2739 1319 2740 1318 2740 1309 2740 1320 2741 1319 2741 1309 2741 1321 2742 1320 2742 1309 2742 1322 2743 1321 2743 1309 2743 1323 2744 1322 2744 1309 2744 1324 2745 1323 2745 1309 2745 1325 2746 1324 2746 1309 2746 1310 2747 1325 2747 1309 2747 1326 2748 1308 2748 1307 2748 1327 2749 1308 2749 1326 2749 1327 2750 1310 2750 1308 2750 1328 2751 1307 2751 1311 2751 1328 2752 1326 2752 1307 2752 1329 2753 1311 2753 1312 2753 1329 2754 1328 2754 1311 2754 1330 2755 1312 2755 1313 2755 1330 2756 1329 2756 1312 2756 1331 2757 1313 2757 1314 2757 1331 2758 1330 2758 1313 2758 1332 2759 1314 2759 1315 2759 1332 2760 1331 2760 1314 2760 1333 2761 1315 2761 1316 2761 1333 2762 1332 2762 1315 2762 1334 2763 1316 2763 1317 2763 1334 2764 1333 2764 1316 2764 1335 2765 1317 2765 1318 2765 1335 2766 1334 2766 1317 2766 1336 2767 1335 2767 1318 2767 1319 2768 1336 2768 1318 2768 1337 2769 1326 2769 1328 2769 1338 2770 1326 2770 1337 2770 1338 2771 1327 2771 1326 2771 1339 2772 1328 2772 1329 2772 1339 2773 1337 2773 1328 2773 1340 2774 1329 2774 1330 2774 1340 2775 1339 2775 1329 2775 1341 2776 1330 2776 1331 2776 1341 2777 1340 2777 1330 2777 1342 2778 1331 2778 1332 2778 1342 2779 1341 2779 1331 2779 1343 2780 1332 2780 1333 2780 1343 2781 1342 2781 1332 2781 1344 2782 1333 2782 1334 2782 1344 2783 1343 2783 1333 2783 1345 2784 1334 2784 1335 2784 1345 2785 1344 2785 1334 2785 1346 2786 1335 2786 1336 2786 1346 2787 1345 2787 1335 2787 1347 2788 1346 2788 1336 2788 1348 2789 1347 2789 1336 2789 1348 2790 1336 2790 1319 2790 1349 2791 1337 2791 1339 2791 1350 2792 1337 2792 1349 2792 1350 2793 1338 2793 1337 2793 1351 2794 1339 2794 1340 2794 1351 2795 1349 2795 1339 2795 1352 2796 1340 2796 1341 2796 1352 2797 1351 2797 1340 2797 1353 2798 1341 2798 1342 2798 1353 2799 1352 2799 1341 2799 1354 2800 1342 2800 1343 2800 1354 2801 1353 2801 1342 2801 1355 2802 1343 2802 1344 2802 1355 2803 1354 2803 1343 2803 1356 2804 1344 2804 1345 2804 1356 2805 1355 2805 1344 2805 1357 2806 1345 2806 1346 2806 1357 2807 1356 2807 1345 2807 1358 2808 1346 2808 1347 2808 1358 2809 1357 2809 1346 2809 1359 2810 1358 2810 1347 2810 1360 2811 1359 2811 1347 2811 1360 2812 1347 2812 1348 2812 1361 2813 1349 2813 1351 2813 1362 2814 1349 2814 1361 2814 1362 2815 1350 2815 1349 2815 1363 2816 1351 2816 1352 2816 1363 2817 1361 2817 1351 2817 1364 2818 1352 2818 1353 2818 1364 2819 1363 2819 1352 2819 1365 2820 1353 2820 1354 2820 1365 2821 1364 2821 1353 2821 1366 2822 1354 2822 1355 2822 1366 2823 1365 2823 1354 2823 1367 2824 1355 2824 1356 2824 1367 2825 1366 2825 1355 2825 1368 2826 1356 2826 1357 2826 1368 2827 1367 2827 1356 2827 1369 2828 1357 2828 1358 2828 1369 2829 1368 2829 1357 2829 1370 2830 1358 2830 1359 2830 1370 2831 1369 2831 1358 2831 1371 2832 1370 2832 1359 2832 1372 2833 1371 2833 1359 2833 1372 2834 1359 2834 1360 2834 1373 2835 1361 2835 1363 2835 1374 2836 1361 2836 1373 2836 1374 2837 1362 2837 1361 2837 1375 2838 1363 2838 1364 2838 1375 2839 1373 2839 1363 2839 1376 2840 1364 2840 1365 2840 1376 2841 1375 2841 1364 2841 1377 2842 1365 2842 1366 2842 1377 2843 1376 2843 1365 2843 1378 2844 1366 2844 1367 2844 1378 2845 1377 2845 1366 2845 1379 2846 1367 2846 1368 2846 1379 2847 1378 2847 1367 2847 1380 2848 1368 2848 1369 2848 1380 2849 1379 2849 1368 2849 1381 2850 1369 2850 1370 2850 1381 2851 1380 2851 1369 2851 1382 2852 1370 2852 1371 2852 1382 2853 1381 2853 1370 2853 1383 2854 1382 2854 1371 2854 1384 2855 1383 2855 1371 2855 1384 2856 1371 2856 1372 2856 1385 2857 1373 2857 1375 2857 1386 2858 1373 2858 1385 2858 1374 2859 1373 2859 1386 2859 1387 2860 1375 2860 1376 2860 1388 2861 1385 2861 1375 2861 1387 2862 1388 2862 1375 2862 1389 2863 1376 2863 1377 2863 1389 2864 1387 2864 1376 2864 1390 2865 1377 2865 1378 2865 1390 2866 1389 2866 1377 2866 1391 2867 1378 2867 1379 2867 1392 2868 1390 2868 1378 2868 1391 2869 1392 2869 1378 2869 1393 2870 1379 2870 1380 2870 1393 2871 1391 2871 1379 2871 1394 2872 1380 2872 1381 2872 1394 2873 1393 2873 1380 2873 1395 2874 1381 2874 1382 2874 1396 2875 1394 2875 1381 2875 1395 2876 1396 2876 1381 2876 1397 2877 1382 2877 1383 2877 1397 2878 1395 2878 1382 2878 1398 2879 1397 2879 1383 2879 1399 2880 1398 2880 1383 2880 1399 2881 1383 2881 1384 2881 1396 2882 1389 2882 1390 2882 1395 2883 1389 2883 1396 2883 1394 2884 1390 2884 1392 2884 1396 2885 1390 2885 1394 2885 1399 2886 1407 2886 1398 2886 1374 2887 1386 2887 1409 2887 1412 2888 1409 2888 1411 2888 1374 2889 1409 2889 1412 2889 1414 2890 1415 2890 1411 2890 1412 2891 1411 2891 1415 2891 1410 2892 1414 2892 1411 2892 1416 2893 1417 2893 1415 2893 1418 2894 1415 2894 1417 2894 1414 2895 1416 2895 1415 2895 1412 2896 1415 2896 1418 2896 1420 2897 1417 2897 1419 2897 1418 2898 1417 2898 1420 2898 1421 2899 1419 2899 1416 2899 1420 2900 1419 2900 1421 2900 1421 2901 1416 2901 1414 2901 1422 2902 1414 2902 1410 2902 1421 2903 1414 2903 1422 2903 1423 2904 1410 2904 1413 2904 1422 2905 1410 2905 1423 2905 1399 2906 1413 2906 1407 2906 1423 2907 1413 2907 1399 2907 1348 2908 1319 2908 1320 2908 1436 2909 1320 2909 1321 2909 1436 2910 1348 2910 1320 2910 1437 2911 1321 2911 1322 2911 1437 2912 1436 2912 1321 2912 1438 2913 1322 2913 1323 2913 1438 2914 1437 2914 1322 2914 1439 2915 1323 2915 1324 2915 1439 2916 1438 2916 1323 2916 1440 2917 1324 2917 1325 2917 1440 2918 1439 2918 1324 2918 1441 2919 1325 2919 1310 2919 1441 2920 1440 2920 1325 2920 1327 2921 1441 2921 1310 2921 1360 2922 1348 2922 1436 2922 1442 2923 1436 2923 1437 2923 1442 2924 1360 2924 1436 2924 1443 2925 1437 2925 1438 2925 1443 2926 1442 2926 1437 2926 1444 2927 1438 2927 1439 2927 1444 2928 1443 2928 1438 2928 1445 2929 1439 2929 1440 2929 1445 2930 1444 2930 1439 2930 1446 2931 1440 2931 1441 2931 1446 2932 1445 2932 1440 2932 1447 2933 1441 2933 1327 2933 1447 2934 1446 2934 1441 2934 1338 2935 1447 2935 1327 2935 1372 2936 1360 2936 1442 2936 1448 2937 1442 2937 1443 2937 1448 2938 1372 2938 1442 2938 1449 2939 1443 2939 1444 2939 1449 2940 1448 2940 1443 2940 1450 2941 1444 2941 1445 2941 1450 2942 1449 2942 1444 2942 1451 2943 1445 2943 1446 2943 1451 2944 1450 2944 1445 2944 1452 2945 1446 2945 1447 2945 1452 2946 1451 2946 1446 2946 1453 2947 1447 2947 1338 2947 1453 2948 1452 2948 1447 2948 1350 2949 1453 2949 1338 2949 1384 2950 1372 2950 1448 2950 1454 2951 1448 2951 1449 2951 1454 2952 1384 2952 1448 2952 1455 2953 1449 2953 1450 2953 1455 2954 1454 2954 1449 2954 1456 2955 1450 2955 1451 2955 1456 2956 1455 2956 1450 2956 1457 2957 1451 2957 1452 2957 1457 2958 1456 2958 1451 2958 1458 2959 1452 2959 1453 2959 1458 2960 1457 2960 1452 2960 1459 2961 1453 2961 1350 2961 1459 2962 1458 2962 1453 2962 1362 2963 1459 2963 1350 2963 1399 2964 1384 2964 1454 2964 1423 2965 1454 2965 1455 2965 1423 2966 1399 2966 1454 2966 1422 2967 1455 2967 1456 2967 1422 2968 1423 2968 1455 2968 1421 2969 1456 2969 1457 2969 1421 2970 1422 2970 1456 2970 1420 2971 1457 2971 1458 2971 1420 2972 1421 2972 1457 2972 1418 2973 1458 2973 1459 2973 1418 2974 1420 2974 1458 2974 1412 2975 1459 2975 1362 2975 1412 2976 1418 2976 1459 2976 1374 2977 1412 2977 1362 2977</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="wrist_fe" name="wrist_fe" type="NODE">
+ <matrix sid="transform">9.99987e-4 0 0 0 0 9.99987e-4 0 0 0 0 9.99987e-4 0 0 0 0 1</matrix>
+ <instance_geometry url="#wrist_fe-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ <instance_material symbol="black-material" target="#black-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyA/meshes/wrist_r.dae b/ct_models/urdf/HyA/meshes/wrist_r.dae
new file mode 100644
index 0000000..ebc8a66
--- /dev/null
+++ b/ct_models/urdf/HyA/meshes/wrist_r.dae
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.71.0 commit date:2014-06-12, commit time:18:39, hash:169c95b</authoring_tool>
+ </contributor>
+ <created>2015-04-23T10:15:44</created>
+ <modified>2015-04-23T10:15:44</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="aluminum-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="aluminum-material" name="aluminum">
+ <instance_effect url="#aluminum-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="wrist_r-mesh" name="wrist_r">
+ <mesh>
+ <source id="wrist_r-mesh-positions">
+ <float_array id="wrist_r-mesh-positions-array" count="16185">-0.009681403 0.02172303 0.008499979 -0.006922364 0.02583855 0.008499979 -0.01891499 0.01891499 0.008499979 -0.01891499 0.01891499 0.004499912 -0.01745086 0.01298171 0.008499979 -0.02583855 0.006922364 0.008499979 -0.02583867 0.006922364 0.004499912 -0.01010847 0.02012926 0.008499979 -0.008941709 0.0189625 0.008499979 -0.01107352 0.01771432 0.008499979 -0.01206135 0.01782751 0.008499979 -0.01298171 0.01745086 0.008499979 -0.01537925 0.01537948 0.008499979 0.008514702 0.0222063 0.008499979 0.006922364 0.02583855 0.008499979 -0.006922364 0.02583867 0.004499912 -0.008087635 0.02215003 0.008499979 -0.001767694 0.01923221 0.008499979 0.00708574 0.02138125 0.008499979 0.001767694 0.02276772 0.008499979 -6.46584e-4 0.02341473 0.008499979 -0.002414703 0.02164649 0.008499979 0.02583855 0.006922364 0.008499979 0.01891499 0.01891499 0.008499979 0.006924152 0.02583807 0.004499912 0.009943604 0.02138125 0.008499979 0.01891487 0.01891487 0.004499912 0.02276772 -0.001767694 0.008499979 0.02583855 -0.006922364 0.008499979 0.02583807 0.006924152 0.004499912 0.02172303 0.009681403 0.008499979 0.02215003 0.008087635 0.008499979 0.02098327 0.006920874 0.008499979 0.02164649 0.002414703 0.008499979 0.02341473 6.46584e-4 0.008499979 0.01745086 -0.01298171 0.008499979 0.01891499 -0.01891499 0.008499979 0.02583867 -0.006922364 0.004499912 0.0222063 -0.008514702 0.008499979 0.02138125 -0.009943604 0.008499979 0.02138125 -0.00708574 0.008499979 0.01566898 0 0.008499979 0.02035331 -0.002414703 0.008499979 0.009681403 -0.02172303 0.008499979 0.006922364 -0.02583855 0.008499979 0.01891499 -0.01891499 0.004499912 0.01010847 -0.02012926 0.008499979 0.008941709 -0.0189625 0.008499979 0.01107352 -0.01771432 0.008499979 0.01206135 -0.01782751 0.008499979 0.01298171 -0.01745086 0.008499979 0.01537925 -0.01537948 0.008499979 -0.008514702 -0.0222063 0.008499979 -0.006922364 -0.02583855 0.008499979 0.006922364 -0.02583867 0.004499912 0.008087635 -0.02215003 0.008499979 0.001767694 -0.01923221 0.008499979 -0.00708574 -0.02138125 0.008499979 -0.001767694 -0.02276772 0.008499979 6.46584e-4 -0.02341473 0.008499979 0.002414703 -0.02164649 0.008499979 -0.02583855 -0.006922364 0.008499979 -0.01891499 -0.01891499 0.008499979 -0.006924152 -0.02583807 0.004499912 -0.009943604 -0.02138125 0.008499979 -0.01891487 -0.01891487 0.004499912 -0.02276772 0.001767694 0.008499979 -0.02583807 -0.006924152 0.004499912 -0.02172303 -0.009681403 0.008499979 -0.02215003 -0.008087635 0.008499979 -0.02098327 -0.006920874 0.008499979 -0.02164649 -0.002414703 0.008499979 -0.02341473 -6.46584e-4 0.008499979 -0.0222063 0.008514702 0.008499979 -0.02138125 0.009943604 0.008499979 -0.02138125 0.00708574 0.008499979 -0.01566898 0 0.008499979 -0.02035331 0.002414703 0.008499979 0 0.01566898 0.008499979 -0.006920874 0.02098327 0.008499979 -0.007347941 0.01938951 0.008499979 -0.007347941 0.01938951 -0.007999956 -0.008941709 0.0189625 -0.007999956 -0.006920874 0.02098327 -0.007999956 -0.008087635 0.02215003 -0.007999956 -0.009681403 0.02172303 -0.007999956 -0.01010847 0.02012926 -0.007999956 0.01107352 0.01771432 0.008499979 0.009943604 0.01973128 0.008499979 0.008514702 0.01890629 0.008499979 0.008514702 0.01890629 -0.007999956 0.00708574 0.01973128 0.008499979 0.00708574 0.01973128 -0.007999956 0.002414703 0.02035331 0.008499979 0.01298171 0.01745086 0.008499979 0.009943604 0.01973128 -0.007999956 0.01206135 0.01782751 0.008499979 0.009943604 0.02138125 -0.007999956 0.01537948 0.01537925 0.008499979 0.008514702 0.0222063 -0.007999956 0.00708574 0.02138125 -0.007999956 0.01938951 0.007347941 0.008499979 0.01938951 0.007347941 -0.007999956 0.0189625 0.008941709 0.008499979 0.0189625 0.008941709 -0.007999956 0.01923221 0.001767694 0.008499979 0.02098327 0.006920874 -0.007999956 0.02215003 0.008087635 -0.007999956 0.01745086 0.01298171 0.008499979 0.02012926 0.01010847 0.008499979 0.02172303 0.009681403 -0.007999956 0.01771432 0.01107352 0.008499979 0.02012926 0.01010847 -0.007999956 0.01782751 0.01206135 0.008499979 0.01771432 -0.01107352 0.008499979 0.01973128 -0.009943604 0.008499979 0.01890629 -0.008514702 0.008499979 0.01890629 -0.008514702 -0.007999956 0.01973128 -0.00708574 0.008499979 0.01973128 -0.00708574 -0.007999956 0.01973128 -0.009943604 -0.007999956 0.02138125 -0.009943604 -0.007999956 0.01782751 -0.01206135 0.008499979 0.0222063 -0.008514702 -0.007999956 0.02138125 -0.00708574 -0.007999956 0 -0.01566898 0.008499979 0.006920874 -0.02098327 0.008499979 0.007347941 -0.01938951 0.008499979 0.007347941 -0.01938951 -0.007999956 0.008941709 -0.0189625 -0.007999956 0.006920874 -0.02098327 -0.007999956 0.008087635 -0.02215003 -0.007999956 0.009681403 -0.02172303 -0.007999956 0.01010847 -0.02012926 -0.007999956 -0.01107352 -0.01771432 0.008499979 -0.009943604 -0.01973128 0.008499979 -0.008514702 -0.01890629 0.008499979 -0.008514702 -0.01890629 -0.007999956 -0.00708574 -0.01973128 0.008499979 -0.00708574 -0.01973128 -0.007999956 -0.002414703 -0.02035331 0.008499979 -0.01298171 -0.01745086 0.008499979 -0.009943604 -0.01973128 -0.007999956 -0.01206135 -0.01782751 0.008499979 -0.009943604 -0.02138125 -0.007999956 -0.01537948 -0.01537925 0.008499979 -0.008514702 -0.0222063 -0.007999956 -0.00708574 -0.02138125 -0.007999956 -0.01938951 -0.007347941 0.008499979 -0.01938951 -0.007347941 -0.007999956 -0.0189625 -0.008941709 0.008499979 -0.0189625 -0.008941709 -0.007999956 -0.01923221 -0.001767694 0.008499979 -0.02098327 -0.006920874 -0.007999956 -0.02215003 -0.008087635 -0.007999956 -0.01745086 -0.01298171 0.008499979 -0.02012926 -0.01010847 0.008499979 -0.02172303 -0.009681403 -0.007999956 -0.01771432 -0.01107352 0.008499979 -0.02012926 -0.01010847 -0.007999956 -0.01782751 -0.01206135 0.008499979 -0.01771432 0.01107352 0.008499979 -0.01973128 0.009943604 0.008499979 -0.01890629 0.008514702 0.008499979 -0.01890629 0.008514702 -0.007999956 -0.01973128 0.00708574 0.008499979 -0.01973128 0.00708574 -0.007999956 -0.01973128 0.009943604 -0.007999956 -0.02138125 0.009943604 -0.007999956 -0.01782751 0.01206135 0.008499979 -0.0222063 0.008514702 -0.007999956 -0.02138125 0.00708574 -0.007999956 0.001767694 0.02276772 -0.001999974 0.002414703 0.0203529 -0.001999974 -6.47048e-4 0.02341479 -0.001999974 -0.002414703 0.02164703 -0.001999974 6.46584e-4 0.0185852 0.008499979 -0.001767694 0.01923221 -0.001999974 6.47048e-4 0.01858514 -0.001999974 0.02276772 -0.001767694 -0.001999974 0.0203529 -0.002414703 -0.001999974 0.02341479 6.47048e-4 -0.001999974 0.02164703 0.002414703 -0.001999974 0.0185852 -6.46584e-4 0.008499979 0.01923221 0.001767694 -0.001999974 0.01858514 -6.47048e-4 -0.001999974 -0.001767694 -0.02276772 -0.001999974 -0.002414703 -0.0203529 -0.001999974 6.47048e-4 -0.02341479 -0.001999974 0.002414703 -0.02164703 -0.001999974 -6.46584e-4 -0.0185852 0.008499979 0.001767694 -0.01923221 -0.001999974 -6.47048e-4 -0.01858514 -0.001999974 -0.02276772 0.001767694 -0.001999974 -0.0203529 0.002414703 -0.001999974 -0.02341479 -6.47048e-4 -0.001999974 -0.02164703 -0.002414703 -0.001999974 -0.0185852 6.46584e-4 0.008499979 -0.01923221 -0.001767694 -0.001999974 -0.01858514 6.47048e-4 -0.001999974 -0.01107352 -0.01771432 0.003499925 -0.01172816 -0.01784527 0.003499925 1.87072e-7 -0.01566898 -0.007999956 -0.01124078 -0.01777881 -0.007999956 0.01107352 -0.01771432 0.003499925 0.0123887 -0.01775383 0.003499925 0.01172816 -0.01784527 0.003499925 0.01298171 -0.01745086 0.003499925 0.01269632 -0.01762807 0.003499925 0.01537925 -0.01537948 0.003499925 0.01745086 -0.01298171 0.003499925 0.01784527 -0.01172816 0.003499925 0.01762807 -0.01269632 0.003499925 0.01775383 -0.0123887 0.003499925 0.01771432 -0.01107352 0.003499925 0.01566898 -1.87072e-7 -0.007999956 0.01771432 0.01107352 0.003499925 0.01775383 0.0123887 0.003499925 0.01784527 0.01172816 0.003499925 0.01745086 0.01298171 0.003499925 0.01762807 0.01269632 0.003499925 0.01537948 0.01537925 0.003499925 0.01298171 0.01745086 0.003499925 0.01172816 0.01784527 0.003499925 0.01269632 0.01762807 0.003499925 0.0123887 0.01775383 0.003499925 0.01107352 0.01771432 0.003499925 -1.87072e-7 0.01566898 -0.007999956 0.01124078 0.01777881 -0.007999956 -0.01107352 0.01771432 0.003499925 -0.0123887 0.01775383 0.003499925 -0.01172816 0.01784527 0.003499925 -0.01298171 0.01745086 0.003499925 -0.01269632 0.01762807 0.003499925 -0.01537925 0.01537948 0.003499925 -0.01745086 0.01298171 0.003499925 -0.01784527 0.01172816 0.003499925 -0.01762807 0.01269632 0.003499925 -0.01775383 0.0123887 0.003499925 -0.01771432 0.01107352 0.003499925 -0.01566898 -1.87072e-7 -0.007999956 -0.01777881 0.01124078 -0.007999956 -0.01771432 -0.01107352 0.003499925 -0.01775383 -0.0123887 0.003499925 -0.01784527 -0.01172816 0.003499925 -0.01745086 -0.01298171 0.003499925 -0.01762807 -0.01269632 0.003499925 -0.01537948 -0.01537925 0.003499925 -0.01298171 -0.01745086 0.003499925 -0.01269632 -0.01762807 0.003499925 -0.0123887 -0.01775383 0.003499925 -0.003660917 0.008766233 -0.007999956 0.001294076 0.004829585 -0.007999956 -0.003535509 0.003535509 -0.007999956 -0.003535509 0.003535509 0.003499925 -0.009413182 0.006938338 -0.007999956 -0.004829585 -0.001294076 -0.007999956 -0.004829347 -0.001294672 0.003499925 -0.01767766 0.01767766 -0.007999956 -0.01284533 0.01532024 -0.007999956 -0.005397975 0.008591532 -0.007999956 -0.006938338 0.009413182 -0.007999956 0 0.009499847 -0.007999956 0.004829585 0.001294076 -0.007999956 0.001294672 0.004829347 0.003499925 0.009413182 -0.006938338 -0.007999956 0.003535509 -0.003535509 -0.007999956 0.004829943 0.001292467 0.003499925 0.008766233 -0.003660917 -0.007999956 0.008591532 -0.005397975 -0.007999956 0.003660917 -0.008766233 -0.007999956 -0.001294076 -0.004829585 -0.007999956 0.003535509 -0.003535509 0.003499925 0.01284533 -0.01532024 -0.007999956 0.01767766 -0.01767766 -0.007999956 0.005397975 -0.008591532 -0.007999956 0.006938338 -0.009413182 -0.007999956 0 -0.009499847 -0.007999956 -0.001292467 -0.004829943 0.003499925 -0.008766233 0.003660917 -0.007999956 -0.008591532 0.005397975 -0.007999956 0.02414834 -0.006469488 -0.007999956 0.01767766 -0.01767766 0.004499912 0.006469488 -0.02414834 -0.007999956 0.006469488 -0.02414816 0.004499912 0.01777881 -0.01124078 -0.007999956 0.0130406 -0.01720052 -0.007999956 0.01720052 -0.0130406 -0.007999956 0.01532024 -0.01284533 -0.007999956 0.02414768 0.006471157 -0.007999956 0.02414816 -0.006469488 0.004499912 0.01777881 0.01124078 -0.007999956 0.01767748 0.01767748 -0.007999956 0.02414816 0.006469488 0.004499912 0.006471157 0.02414768 -0.007999956 0.01767766 0.01767766 0.004499912 -0.006469488 0.02414834 -0.007999956 0.006469488 0.02414816 0.004499912 -0.006469488 0.02414816 0.004499912 -0.02414834 0.006469488 -0.007999956 -0.01767766 0.01767766 0.004499912 -0.0130406 0.01720052 -0.007999956 -0.01720052 0.0130406 -0.007999956 -0.01532024 0.01284533 -0.007999956 -0.02414768 -0.006471157 -0.007999956 -0.02414816 0.006469488 0.004499912 -0.01777881 -0.01124078 -0.007999956 -0.01767748 -0.01767748 -0.007999956 -0.02414816 -0.006469488 0.004499912 -0.006471157 -0.02414768 -0.007999956 -0.01767766 -0.01767766 0.004499912 -0.006469488 -0.02414816 0.004499912 -0.01124078 0.01777881 -0.007999956 0.0130406 0.01720052 -0.007999956 0.01720052 0.0130406 -0.007999956 0.01124078 -0.01777881 -0.007999956 -0.0130406 -0.01720052 -0.007999956 -0.01720052 -0.0130406 -0.007999956 -0.01124078 -0.01777881 0.003499925 -0.01115721 -0.01774638 0.003499925 -0.01532024 -0.01284533 -0.007999956 -0.01284533 -0.01532024 -0.007999956 -0.01325893 -0.01665782 0.003499925 -0.01181721 -0.01788038 0.003499925 -0.009413182 -0.006938338 -0.007999956 -0.006938338 -0.009413182 -0.007999956 -0.006938338 -0.009413182 0.003499925 -0.01284533 -0.01532024 0.003499925 -0.008591532 -0.005397975 -0.007999956 -0.005397975 -0.008591532 -0.007999956 -0.008766233 -0.003660917 -0.007999956 -0.003660917 -0.008766233 -0.007999956 -0.005397975 -0.008591532 0.003499925 -0.009499847 0 -0.007999956 -0.003660917 -0.008766233 0.003499925 0 -0.009499847 0.003499925 0.003660917 -0.008766233 0.003499925 0.005397975 -0.008591532 0.003499925 0.01284533 -0.01532024 0.003499925 0.006938338 -0.009413182 0.003499925 0.01325893 -0.01665782 0.003499925 0.01124078 -0.01777881 0.003499925 0.01181721 -0.01788038 0.003499925 0.01115721 -0.01774638 0.003499925 -0.01777881 0.01124078 0.003499925 -0.01774638 0.01115721 0.003499925 -0.01665782 0.01325893 0.003499925 -0.01788038 0.01181721 0.003499925 -0.009413182 0.006938338 0.003499925 -0.01532024 0.01284533 0.003499925 -0.008591532 0.005397975 0.003499925 -0.008766233 0.003660917 0.003499925 -0.009499847 0 0.003499925 -0.008766233 -0.003660917 0.003499925 -0.008591532 -0.005397975 0.003499925 -0.01532024 -0.01284533 0.003499925 -0.009413182 -0.006938338 0.003499925 -0.01665782 -0.01325893 0.003499925 -0.01777881 -0.01124078 0.003499925 -0.01788038 -0.01181721 0.003499925 -0.01774638 -0.01115721 0.003499925 0.01124078 0.01777881 0.003499925 0.01115721 0.01774638 0.003499925 0.01532024 0.01284533 -0.007999956 0.01284533 0.01532024 -0.007999956 0.01325893 0.01665782 0.003499925 0.01181721 0.01788038 0.003499925 0.009413182 0.006938338 -0.007999956 0.006938338 0.009413182 -0.007999956 0.006938338 0.009413182 0.003499925 0.01284533 0.01532024 0.003499925 0.008591532 0.005397975 -0.007999956 0.005397975 0.008591532 -0.007999956 0.008766233 0.003660917 -0.007999956 0.003660917 0.008766233 -0.007999956 0.005397975 0.008591532 0.003499925 0.009499847 -1.39651e-7 -0.007999956 0.003660917 0.008766233 0.003499925 0 0.009499847 0.003499925 -0.003660917 0.008766233 0.003499925 -0.005397975 0.008591532 0.003499925 -0.01284533 0.01532024 0.003499925 -0.006938338 0.009413182 0.003499925 -0.01325893 0.01665782 0.003499925 -0.01124078 0.01777881 0.003499925 -0.01181721 0.01788038 0.003499925 -0.01115721 0.01774638 0.003499925 0.01532024 0.01284533 0.003499925 0.01665782 0.01325893 0.003499925 0.01777881 0.01124078 0.003499925 0.01788038 0.01181721 0.003499925 0.01774638 0.01115721 0.003499925 0.01777881 -0.01124078 0.003499925 0.01774638 -0.01115721 0.003499925 0.01665782 -0.01325893 0.003499925 0.01788038 -0.01181721 0.003499925 0.009413182 -0.006938338 0.003499925 0.01532024 -0.01284533 0.003499925 0.008591532 -0.005397975 0.003499925 0.008766233 -0.003660917 0.003499925 0.009499847 0 0.003499925 0.008766233 0.003660917 0.003499925 0.008591532 0.005397975 0.003499925 0.009413182 0.006938338 0.003499925 -0.006010353 0.006010353 0.003499925 -0.007424533 0.006010353 0.003499925 -0.006717503 0.005717635 0.003499925 -0.005717635 0.006717503 0.003499925 -0.006717503 0.007717192 0.003499925 -0.007424533 0.007424533 0.003499925 -0.006010353 0.007424533 0.003499925 -0.007717192 0.006717503 0.003499925 -0.006010353 0.007424533 0.002999961 -0.005717635 0.006718099 0.002999961 -0.006716728 0.007717311 0.002999961 -0.007424354 0.007424354 0.002999961 -0.007717311 0.006716728 0.002999961 -0.007424533 0.006010353 0.002999961 -0.006718099 0.005717635 0.002999961 -0.006010651 0.006010651 0.002999961 0.009490072 -0.02712076 0.004499912 0.01073396 -0.03067618 0.004499912 0.02298086 -0.02298086 0.004499912 0.02323091 -0.02323091 0.004353523 0.02031749 -0.02031749 0.004499912 0.03067618 -0.01073396 0.004499912 0.03114813 -0.01089912 0.003999948 -0.003217101 -0.02855265 0.004499912 0.003638744 -0.03229564 0.004499912 0.01089912 -0.03114813 0.003999948 0.0233345 -0.0233345 0.003999948 4.68672e-7 -0.0321998 0.004499912 -0.003638744 -0.03229564 0.004499912 4.94804e-4 -0.03100514 0.004499912 4.94975e-4 -0.03199487 0.004499912 6.99865e-4 -0.03150039 0.004499912 -0.02751857 -0.01729089 0.004499912 -0.01729089 -0.02751857 0.004499912 -0.003694713 -0.03279238 0.003999948 -0.0152871 -0.02432912 0.004499912 -4.94804e-4 -0.03199476 0.004499912 -0.01755702 -0.02794188 0.003999948 -0.02432912 -0.0152871 0.004499912 -0.03229564 -0.003638744 0.004499912 -0.02794188 -0.01755702 0.003999948 -0.0321998 4.68672e-7 0.004499912 -0.03229564 0.003638744 0.004499912 -0.03279238 -0.003694713 0.003999948 -0.02855265 -0.003217101 0.004499912 -0.03199476 -4.94804e-4 0.004499912 -0.02712076 0.009490072 0.004499912 -0.03067618 0.01073396 0.004499912 -0.03100514 4.94804e-4 0.004499912 -0.03199487 4.94975e-4 0.004499912 -0.03150039 6.99865e-4 0.004499912 -0.02031749 0.02031749 0.004499912 -0.02298086 0.02298086 0.004499912 -0.03114813 0.01089912 0.003999948 -0.009490072 0.02712076 0.004499912 -0.01073396 0.03067618 0.004499912 -0.02323091 0.02323091 0.004353523 0.003217101 0.02855265 0.004499912 -0.003638744 0.03229564 0.004499912 -0.01089912 0.03114813 0.003999948 -0.0233345 0.0233345 0.003999948 -4.68672e-7 0.0321998 0.004499912 0.003638744 0.03229564 0.004499912 -4.94804e-4 0.03100514 0.004499912 -6.99865e-4 0.03150039 0.004499912 -4.94975e-4 0.03199487 0.004499912 0.02751857 0.01729089 0.004499912 0.01729089 0.02751857 0.004499912 0.003694713 0.03279238 0.003999948 0.0152871 0.02432912 0.004499912 4.94804e-4 0.03199476 0.004499912 0.01755702 0.02794188 0.003999948 0.02432912 0.0152871 0.004499912 0.03229564 0.003638744 0.004499912 0.02794188 0.01755702 0.003999948 0.0321998 -4.68672e-7 0.004499912 0.03229564 -0.003638744 0.004499912 0.03279238 0.003694713 0.003999948 0.02855265 0.003217101 0.004499912 0.03199476 4.94804e-4 0.004499912 0.02712076 -0.009490072 0.004499912 0.03100514 -4.94804e-4 0.004499912 0.03150039 -6.99865e-4 0.004499912 0.03199487 -4.94975e-4 0.004499912 0.02031749 -0.02031749 0.004099965 0.009490072 -0.02712076 0.004099965 0.0308001 4.68672e-7 0.004499912 0.02712076 -0.009490072 0.004099965 0.02855265 0.003217101 0.004099965 0.03100502 4.94975e-4 0.004499912 0.0314995 6.99865e-4 0.004499912 0.02432912 0.0152871 0.004099965 6.99865e-4 0.0314995 0.004499912 0.0152871 0.02432912 0.004099965 0.003217101 0.02855265 0.004099965 4.68672e-7 0.0308001 0.004499912 4.94975e-4 0.03100502 0.004499912 -0.009490072 0.02712076 0.004099965 -0.02031749 0.02031749 0.004099965 -0.0308001 -4.68672e-7 0.004499912 -0.02712076 0.009490072 0.004099965 -0.02855265 -0.003217101 0.004099965 -0.0314995 -6.99865e-4 0.004499912 -0.03100502 -4.94975e-4 0.004499912 -0.02432912 -0.0152871 0.004099965 -6.99865e-4 -0.0314995 0.004499912 -0.0152871 -0.02432912 0.004099965 -0.003217101 -0.02855265 0.004099965 -4.94975e-4 -0.03100502 0.004499912 -4.68672e-7 -0.0308001 0.004499912 -4.94975e-4 -0.03100502 0.003799915 0 -0.03079998 0.003799915 -7e-4 -0.03149998 0.003799915 -4.94975e-4 -0.03199487 0.003799915 0 -0.03219991 0.003799915 4.94975e-4 -0.03199487 0.003799915 7e-4 -0.03149998 0.003799915 4.94975e-4 -0.03100502 0.003799915 -0.03199487 4.94975e-4 0.003799915 -0.03149998 7e-4 0.003799915 -0.03219991 0 0.003799915 -0.03199487 -4.94975e-4 0.003799915 -0.03149998 -7e-4 0.003799915 -0.03100502 -4.94975e-4 0.003799915 -0.03079998 0 0.003799915 -0.03100502 4.94975e-4 0.003799915 -4.94975e-4 0.03199487 0.003799915 0 0.03219991 0.003799915 -7e-4 0.03149998 0.003799915 -4.94975e-4 0.03100502 0.003799915 0 0.03079998 0.003799915 4.94975e-4 0.03100502 0.003799915 7e-4 0.03149998 0.003799915 4.94975e-4 0.03199487 0.003799915 0.03100502 4.94975e-4 0.003799915 0.03149998 7e-4 0.003799915 0.03079998 0 0.003799915 0.03100502 -4.94975e-4 0.003799915 0.03149998 -7e-4 0.003799915 0.03199487 -4.94975e-4 0.003799915 0.03219991 0 0.003799915 0.03199487 4.94975e-4 0.003799915 0.02015244 -0.02015244 0.004099965 0.009413003 -0.02690052 0.004099965 0.02832072 0.003190994 0.004099965 0.02690052 -0.009413003 0.004099965 0.02413153 0.01516294 0.004099965 0.01516294 0.02413153 0.004099965 0.003190994 0.02832072 0.004099965 -0.009413003 0.02690052 0.004099965 -0.02015244 0.02015244 0.004099965 -0.003190994 -0.02832072 0.004099965 -0.01516294 -0.02413153 0.004099965 -0.02413153 -0.01516294 0.004099965 -0.02832072 -0.003190994 0.004099965 -0.02690052 0.009413003 0.004099965 0.02015244 -0.02015244 0.004499912 0.009413003 -0.02690052 0.004499912 0.02690052 -0.009413003 0.004499912 0.02832072 0.003190994 0.004499912 0.02413153 0.01516294 0.004499912 0.01516294 0.02413153 0.004499912 0.003190994 0.02832072 0.004499912 -0.009413003 0.02690052 0.004499912 -0.02015244 0.02015244 0.004499912 -0.02690052 0.009413003 0.004499912 -0.02832072 -0.003190994 0.004499912 -0.02413153 -0.01516294 0.004499912 -0.01516294 -0.02413153 0.004499912 -0.003190994 -0.02832072 0.004499912 0.01803112 -0.01803112 0.004499912 0.006599843 -0.02463108 0.004499912 0.02463108 -0.006599843 0.004499912 0.01803112 0.01803112 0.004499912 0.02463108 0.006599843 0.004499912 0.006599843 0.02463108 0.004499912 -0.006599843 0.02463108 0.004499912 -0.01803112 0.01803112 0.004499912 -0.006599843 -0.02463108 0.004499912 -0.01803112 -0.01803112 0.004499912 -0.02463108 0.006599843 0.004499912 -0.02463108 -0.006599843 0.004499912 0.01778113 -0.01778113 0.004353523 0.006470382 -0.02414804 0.003999948 0.02414804 -0.006470382 0.003999948 0.01767766 -0.01767766 0.003999948 0.02414804 0.006470382 0.003999948 0.01767766 0.01767766 0.003999948 0.006470382 0.02414804 0.003999948 -0.006470382 0.02414804 0.003999948 -0.01778113 0.01778113 0.004353523 -0.02414804 0.006470382 0.003999948 -0.01767766 0.01767766 0.003999948 -0.02414804 -0.006470382 0.003999948 -0.01767766 -0.01767766 0.003999948 -0.006470382 -0.02414804 0.003999948 0.01767766 -0.01767766 -0.002999961 0.006470382 -0.02414804 -0.002999961 0.02414804 -0.006470382 -0.002999961 0.02414804 0.006470382 -0.002999961 0.01767766 0.01767766 -0.002999961 0.006470382 0.02414804 -0.002999961 -0.006470382 0.02414804 -0.002999961 -0.01767766 0.01767766 -0.002999961 0.01778113 -0.01778113 -0.003353536 0.006599843 -0.02463108 -0.003499925 0.02463108 -0.006599843 -0.003499925 0.01803112 -0.01803112 -0.003499925 0.02463108 0.006599843 -0.003499925 0.01803112 0.01803112 -0.003499925 0.006599843 0.02463108 -0.003499925 -0.006599843 0.02463108 -0.003499925 -0.01778113 0.01778113 -0.003353536 -0.02414804 0.006470382 -0.002999961 0.02015244 -0.02015244 -0.003499925 0.009413003 -0.02690052 -0.003499925 0.02690052 -0.009413003 -0.003499925 0.02832072 0.003190994 -0.003499925 0.003190994 0.02832072 -0.003499925 0.01516294 0.02413153 -0.003499925 -0.01803112 0.01803112 -0.003499925 -0.009413003 0.02690052 -0.003499925 -0.02015244 0.02015244 -0.003499925 -0.02463108 0.006599843 -0.003499925 -0.003190994 -0.02832072 -0.003499925 -0.006599843 -0.02463108 -0.003499925 -0.01803112 -0.01803112 -0.003499925 -0.006470382 -0.02414804 -0.002999961 -0.02832072 -0.003190994 -0.003499925 -0.02463108 -0.006599843 -0.003499925 -0.01767766 -0.01767766 -0.002999961 -0.01516294 -0.02413153 -0.003499925 -0.02690052 0.009413003 -0.003499925 -0.02414804 -0.006470382 -0.002999961 0.02015244 -0.02015244 -0.003099918 0.009413003 -0.02690052 -0.003099918 0.02690052 -0.009413003 -0.003099918 0.02413153 0.01516294 -0.003499925 0.02832072 0.003190994 -0.003099918 0.02413153 0.01516294 -0.003099918 0.01516294 0.02413153 -0.003099918 0.003190994 0.02832072 -0.003099918 -0.009413003 0.02690052 -0.003099918 -0.02015244 0.02015244 -0.003099918 -0.02690052 0.009413003 -0.003099918 -0.02413153 -0.01516294 -0.003499925 -0.02832072 -0.003190994 -0.003099918 -0.02413153 -0.01516294 -0.003099918 -0.01516294 -0.02413153 -0.003099918 -0.003190994 -0.02832072 -0.003099918 0.02031749 -0.02031749 -0.003099918 0.009490072 -0.02712076 -0.003099918 0.02712076 -0.009490072 -0.003099918 0.02855265 0.003217101 -0.003099918 0.0152871 0.02432912 -0.003099918 0.02432912 0.0152871 -0.003099918 0.003217101 0.02855265 -0.003099918 -0.009490072 0.02712076 -0.003099918 -0.02031749 0.02031749 -0.003099918 -0.003217101 -0.02855265 -0.003099918 -0.0152871 -0.02432912 -0.003099918 -0.02855265 -0.003217101 -0.003099918 -0.02432912 -0.0152871 -0.003099918 -0.02712076 0.009490072 -0.003099918 0.02031749 -0.02031749 -0.003499925 0.009490072 -0.02712076 -0.003499925 0.02712076 -0.009490072 -0.003499925 0.02855265 0.003217101 -0.003499925 0.02432912 0.0152871 -0.003499925 0.0152871 0.02432912 -0.003499925 0.003217101 0.02855265 -0.003499925 -0.009490072 0.02712076 -0.003499925 -0.02031749 0.02031749 -0.003499925 -0.02712076 0.009490072 -0.003499925 -0.02855265 -0.003217101 -0.003499925 -0.02432912 -0.0152871 -0.003499925 -0.0152871 -0.02432912 -0.003499925 -0.003217101 -0.02855265 -0.003499925 0.02298086 -0.02298086 -0.003499925 0.01073396 -0.03067618 -0.003499925 0.03067618 -0.01073396 -0.003499925 0.0314995 6.99865e-4 -0.003499925 0.03229564 -0.003638744 -0.003499925 0.03100514 -4.94804e-4 -0.003499925 0.03100502 4.94975e-4 -0.003499925 0.0308001 4.68672e-7 -0.003499925 0.01729089 0.02751857 -0.003499925 0.03229564 0.003638744 -0.003499925 0.03199476 4.94804e-4 -0.003499925 0.003638744 0.03229564 -0.003499925 4.68672e-7 0.0308001 -0.003499925 4.94804e-4 0.03199476 -0.003499925 6.99865e-4 0.0314995 -0.003499925 4.94975e-4 0.03100502 -0.003499925 -0.01073396 0.03067618 -0.003499925 -0.003638744 0.03229564 -0.003499925 -4.94804e-4 0.03100514 -0.003499925 -0.02298086 0.02298086 -0.003499925 -4.68672e-7 -0.0308001 -0.003499925 0.003638744 -0.03229564 -0.003499925 4.94804e-4 -0.03100514 -0.003499925 -0.003638744 -0.03229564 -0.003499925 -4.94804e-4 -0.03199476 -0.003499925 -4.94975e-4 -0.03100502 -0.003499925 -6.99865e-4 -0.0314995 -0.003499925 -0.01729089 -0.02751857 -0.003499925 -0.0314995 -6.99865e-4 -0.003499925 -0.03229564 -0.003638744 -0.003499925 -0.03199476 -4.94804e-4 -0.003499925 -0.03067618 0.01073396 -0.003499925 -0.03229564 0.003638744 -0.003499925 -0.03100514 4.94804e-4 -0.003499925 -0.0308001 -4.68672e-7 -0.003499925 -0.03100502 -4.94975e-4 -0.003499925 0.02323091 -0.02323091 -0.003353536 0.01089912 -0.03114813 -0.002999961 0.03114813 -0.01089912 -0.002999961 0.0233345 -0.0233345 -0.002999961 0.0321998 -4.68672e-7 -0.003499925 0.03199487 -4.94975e-4 -0.003499925 0.03150039 -6.99865e-4 -0.003499925 0.02751857 0.01729089 -0.003499925 0.03279238 0.003694713 -0.002999961 0.02794188 0.01755702 -0.002999961 0.01755702 0.02794188 -0.002999961 -4.68672e-7 0.0321998 -0.003499925 0.003694713 0.03279238 -0.002999961 -4.94975e-4 0.03199487 -0.003499925 -6.99865e-4 0.03150039 -0.003499925 -0.01089912 0.03114813 -0.002999961 -0.02323091 0.02323091 -0.003353536 -0.03114813 0.01089912 -0.002999961 -0.0233345 0.0233345 -0.002999961 -0.0321998 4.68672e-7 -0.003499925 -0.03150039 6.99865e-4 -0.003499925 -0.03199487 4.94975e-4 -0.003499925 -0.02751857 -0.01729089 -0.003499925 -0.03279238 -0.003694713 -0.002999961 -0.02794188 -0.01755702 -0.002999961 -0.01755702 -0.02794188 -0.002999961 4.68672e-7 -0.0321998 -0.003499925 -0.003694713 -0.03279238 -0.002999961 6.99865e-4 -0.03150039 -0.003499925 4.94975e-4 -0.03199487 -0.003499925 -4.94975e-4 -0.03100502 -0.002799928 -7e-4 -0.03149998 -0.002799928 0 -0.03079998 -0.002799928 4.94975e-4 -0.03100502 -0.002799928 7e-4 -0.03149998 -0.002799928 4.94975e-4 -0.03199487 -0.002799928 0 -0.03219991 -0.002799928 -4.94975e-4 -0.03199487 -0.002799928 -0.03199487 4.94975e-4 -0.002799928 -0.03219991 0 -0.002799928 -0.03149998 7e-4 -0.002799928 -0.03100502 4.94975e-4 -0.002799928 -0.03079998 0 -0.002799928 -0.03100502 -4.94975e-4 -0.002799928 -0.03149998 -7e-4 -0.002799928 -0.03199487 -4.94975e-4 -0.002799928 -4.94975e-4 0.03199487 -0.002799928 -7e-4 0.03149998 -0.002799928 0 0.03219991 -0.002799928 4.94975e-4 0.03199487 -0.002799928 7e-4 0.03149998 -0.002799928 4.94975e-4 0.03100502 -0.002799928 0 0.03079998 -0.002799928 -4.94975e-4 0.03100502 -0.002799928 0.03100502 4.94975e-4 -0.002799928 0.03079998 0 -0.002799928 0.03149998 7e-4 -0.002799928 0.03199487 4.94975e-4 -0.002799928 0.03219991 0 -0.002799928 0.03199487 -4.94975e-4 -0.002799928 0.03149998 -7e-4 -0.002799928 0.03100502 -4.94975e-4 -0.002799928 0.0233345 -0.0233345 -3e-4 0.01089912 -0.03114813 -3e-4 0.03114813 -0.01089912 -3e-4 0.03279238 0.003694713 -3e-4 0.02794188 0.01755702 -3e-4 0.01755702 0.02794188 -3e-4 0.003694713 0.03279238 -3e-4 -0.01089912 0.03114813 -3e-4 -0.0233345 0.0233345 -3e-4 0.02322137 -0.02322137 10e-5 0.02286499 -0.02357226 10e-5 0.01204264 -0.03038012 5e-4 0.02250349 -0.02391767 10e-5 0.03267997 0 5e-4 0.02357226 -0.02286499 10e-5 0.02391767 -0.02250349 10e-5 0.02386111 -0.02244687 3.0006e-4 0.02380448 -0.0223903 5e-4 0.03038012 -0.01204264 5e-4 0.03038012 0.01204264 5e-4 0.02391767 0.02250349 10e-5 0.02380448 0.0223903 5e-4 0.02386111 0.02244687 3.0006e-4 0.01204264 0.03038012 5e-4 0.02322137 0.02322137 10e-5 0.02250349 0.02391767 10e-5 0.02244687 0.02386111 3.0006e-4 0.0223903 0.02380448 5e-4 0 0.03267997 5e-4 -0.01204264 0.03038012 5e-4 -0.02250349 0.02391767 10e-5 -0.02286499 0.02357226 10e-5 -0.02322137 0.02322137 10e-5 -0.03114813 0.01089912 -3e-4 0.02121317 -0.02262741 10e-5 0.02262741 -0.02121317 9e-4 0.02262741 -0.02121317 10e-5 0.02391767 -0.02250349 9e-4 0.02386111 -0.02244687 6.9994e-4 0.03114813 -0.01089912 0.001299977 0.0233345 -0.0233345 0.001299977 0.03279238 0.003694713 0.001299977 0.02794188 0.01755702 0.001299977 0.02262741 0.02121317 10e-5 0.02386111 0.02244687 6.9994e-4 0.02121317 0.02262741 9e-4 0.02121317 0.02262741 10e-5 0.01755702 0.02794188 0.001299977 0.02250349 0.02391767 9e-4 0.02244687 0.02386111 6.9994e-4 0.003694713 0.03279238 0.001299977 -0.01089912 0.03114813 0.001299977 -0.02244687 0.02386111 3.0006e-4 -0.0223903 0.02380448 5e-4 -0.02121317 0.02262741 10e-5 -0.02244687 0.02386111 6.9994e-4 -0.02357226 0.02286499 10e-5 0.02357226 -0.02286499 9e-4 0.02322137 -0.02322137 9e-4 0.01089912 -0.03114813 0.001299977 0.02286499 -0.02357226 9e-4 0.02322137 0.02322137 9e-4 0.02391767 0.02250349 9e-4 -0.02322137 0.02322137 9e-4 -0.0233345 0.0233345 0.001299977 -0.02286499 0.02357226 9e-4 -0.02250349 0.02391767 9e-4 -0.02357226 0.02286499 9e-4 -0.03114813 0.01089912 0.001299977 -0.02391767 0.02250349 9e-4 -0.03038012 0.01204264 5e-4 -0.02262741 0.02121317 9e-4 -0.02121317 0.02262741 9e-4 0.02262741 0.02121317 9e-4 -0.03279238 -0.003694713 -3e-4 -0.02794188 -0.01755702 -3e-4 -0.01755702 -0.02794188 -3e-4 -0.003694713 -0.03279238 -3e-4 -0.03267997 0 5e-4 -0.02391767 0.02250349 10e-5 -0.02386111 0.02244687 3.0006e-4 -0.02380448 0.0223903 5e-4 -0.03038012 -0.01204264 5e-4 -0.02391767 -0.02250349 10e-5 -0.02380448 -0.0223903 5e-4 -0.02386111 -0.02244687 3.0006e-4 -0.01204264 -0.03038012 5e-4 -0.02322137 -0.02322137 10e-5 -0.02250349 -0.02391767 10e-5 -0.02244687 -0.02386111 3.0006e-4 -0.0223903 -0.02380448 5e-4 0 -0.03267997 5e-4 0.02244687 -0.02386111 3.0006e-4 0.0223903 -0.02380448 5e-4 0.02244687 -0.02386111 6.9994e-4 -0.02262741 0.02121317 10e-5 -0.02386111 0.02244687 6.9994e-4 -0.03279238 -0.003694713 0.001299977 -0.02794188 -0.01755702 0.001299977 -0.02262741 -0.02121317 10e-5 -0.02386111 -0.02244687 6.9994e-4 -0.02121317 -0.02262741 9e-4 -0.02121317 -0.02262741 10e-5 -0.01755702 -0.02794188 0.001299977 -0.02244687 -0.02386111 6.9994e-4 -0.02250349 -0.02391767 9e-4 -0.003694713 -0.03279238 0.001299977 -0.02322137 -0.02322137 9e-4 -0.02391767 -0.02250349 9e-4 -0.02262741 -0.02121317 9e-4 0.02250349 -0.02391767 9e-4 0.02121317 -0.02262741 9e-4 0.01958572 0.00141412 0.01349991 0.01958572 -0.00141412 0.01349991 0.02241414 -0.00141412 0.01349991 0.02276772 -0.001767694 0.01299995 0.02241414 0.00141412 0.01349991 0.02276772 0.001767694 0.01299995 0.02349996 0 0.01299995 0.01923221 -0.001767694 0.01299995 0.0209999 -0.002499938 0.01299995 0.01923221 0.001767694 0.01299995 0.01849997 0 0.01299995 0.0209999 0.002499938 0.01299995 0.02241414 -0.00141412 -0.001499891 0.01958572 -0.00141412 -0.001499891 0.01958572 0.00141412 -0.001499891 0.01923221 0.001767694 -9.99987e-4 0.02241414 0.00141412 -0.001499891 0.02276772 0.001767694 -9.99987e-4 0.0209999 0.002499938 -9.99987e-4 0.01923221 -0.001767694 -9.99987e-4 0.01849997 0 -9.99987e-4 0.02276772 -0.001767694 -9.99987e-4 0.0209999 -0.002499938 -9.99987e-4 0.02349996 0 -9.99987e-4 -0.00141412 -0.01958572 0.01349991 -0.00141412 -0.02241414 0.01349991 0.00141412 -0.02241414 0.01349991 0.001767694 -0.02276772 0.01299995 0.00141412 -0.01958572 0.01349991 0.001767694 -0.01923221 0.01299995 0.002499938 -0.0209999 0.01299995 -0.001767694 -0.02276772 0.01299995 0 -0.02349996 0.01299995 -0.001767694 -0.01923221 0.01299995 -0.002499938 -0.0209999 0.01299995 0 -0.01849997 0.01299995 0.00141412 -0.02241414 -0.001499891 -0.00141412 -0.02241414 -0.001499891 -0.00141412 -0.01958572 -0.001499891 -0.001767694 -0.01923221 -9.99987e-4 0.00141412 -0.01958572 -0.001499891 0.001767694 -0.01923221 -9.99987e-4 0 -0.01849997 -9.99987e-4 -0.001767694 -0.02276772 -9.99987e-4 -0.002499938 -0.0209999 -9.99987e-4 0.001767694 -0.02276772 -9.99987e-4 0 -0.02349996 -9.99987e-4 0.002499938 -0.0209999 -9.99987e-4 -0.02241414 0.00141412 0.01349991 -0.02241414 -0.00141412 0.01349991 -0.01958572 -0.00141412 0.01349991 -0.01923221 -0.001767694 0.01299995 -0.01958572 0.00141412 0.01349991 -0.01923221 0.001767694 0.01299995 -0.01849997 0 0.01299995 -0.02276772 -0.001767694 0.01299995 -0.0209999 -0.002499938 0.01299995 -0.02276772 0.001767694 0.01299995 -0.02349996 0 0.01299995 -0.0209999 0.002499938 0.01299995 -0.01958572 -0.00141412 -0.001499891 -0.02241414 -0.00141412 -0.001499891 -0.02241414 0.00141412 -0.001499891 -0.02276772 0.001767694 -9.99987e-4 -0.01958572 0.00141412 -0.001499891 -0.01923221 0.001767694 -9.99987e-4 -0.0209999 0.002499938 -9.99987e-4 -0.02276772 -0.001767694 -9.99987e-4 -0.02349996 0 -9.99987e-4 -0.01923221 -0.001767694 -9.99987e-4 -0.0209999 -0.002499938 -9.99987e-4 -0.01849997 0 -9.99987e-4 -0.00141412 0.02241414 0.01349991 -0.00141412 0.01958572 0.01349991 0.00141412 0.01958572 0.01349991 0.001767694 0.01923221 0.01299995 0.00141412 0.02241414 0.01349991 0.001767694 0.02276772 0.01299995 0.002499938 0.0209999 0.01299995 -0.001767694 0.01923221 0.01299995 0 0.01849997 0.01299995 -0.001767694 0.02276772 0.01299995 -0.002499938 0.0209999 0.01299995 0 0.02349996 0.01299995 0.00141412 0.01958572 -0.001499891 -0.00141412 0.01958572 -0.001499891 -0.00141412 0.02241414 -0.001499891 -0.001767694 0.02276772 -9.99987e-4 0.00141412 0.02241414 -0.001499891 0.001767694 0.02276772 -9.99987e-4 0 0.02349996 -9.99987e-4 -0.001767694 0.01923221 -9.99987e-4 -0.002499938 0.0209999 -9.99987e-4 0.001767694 0.01923221 -9.99987e-4 0 0.01849997 -9.99987e-4 0.002499938 0.0209999 -9.99987e-4 0 -0.02389997 -0.0115 0.003492474 -0.02652072 -0.0115 -0.01023674 -0.02471375 -0.0115 -0.01023674 -0.02471375 -0.003499925 -0.009146094 -0.02208065 -0.0115 -0.02122259 -0.01628345 -0.0115 -0.02122259 -0.01628345 -0.003499925 -0.007510185 -0.02186524 -0.0115 -0.001372516 -0.01744586 -0.0115 -0.001428902 -0.02307498 -0.0115 -0.001428902 -0.02142488 -0.0115 0.006800234 -0.02469521 -0.0115 0.01023668 -0.02471351 -0.0115 0.003492474 -0.02652072 -0.003499925 0.001428902 -0.02307498 -0.0115 0.004072964 -0.02114105 -0.0115 0.01124191 -0.02411049 -0.0115 0.01628345 -0.02122259 -0.0115 0.02208065 -0.009146094 -0.0115 0.02471375 -0.01023674 -0.0115 0.01628345 -0.02122259 -0.003499925 0.02077168 -0.01015055 -0.0115 0.01689982 -0.01689982 -0.0115 0.02652072 0.003492474 -0.0115 0.02471375 -0.01023674 -0.003499925 0.02469521 0.006800234 -0.0115 0.02471351 0.01023668 -0.0115 0.02652072 0.003492474 -0.003499925 0.02186524 -0.007510185 -0.0115 0.02389997 0 -0.0115 0.02307498 0.001428902 -0.0115 0.02411049 0.01124191 -0.0115 0.02122259 0.01628345 -0.0115 0.009146094 0.02208065 -0.0115 0.01023674 0.02471375 -0.0115 0.02122259 0.01628345 -0.003499925 0.01015055 0.02077168 -0.0115 0.009519159 0.01924723 -0.0115 0.01530599 0.01732689 -0.0115 0.01732689 0.01530599 -0.0115 0.01689982 0.01689982 -0.0115 0.01641732 0.01022911 -0.0115 0.01997148 0.01295638 -0.0115 0 0.02389997 -0.0115 -0.003492474 0.02652072 -0.0115 0.01023674 0.02471375 -0.003499925 0.007510185 0.02186524 -0.0115 0.001372516 0.01744586 -0.0115 0.001428902 0.02307498 -0.0115 0.001428902 0.02142488 -0.0115 -0.006800234 0.02469521 -0.0115 -0.01023668 0.02471351 -0.0115 -0.003492474 0.02652072 -0.003499925 -0.001428902 0.02307498 -0.0115 -0.004072964 0.02114105 -0.0115 -0.01124191 0.02411049 -0.0115 -0.01628345 0.02122259 -0.0115 -0.02208065 0.009146094 -0.0115 -0.02471375 0.01023674 -0.0115 -0.01628345 0.02122259 -0.003499925 -0.02077168 0.01015055 -0.0115 -0.01689982 0.01689982 -0.0115 -0.02652072 -0.003492474 -0.0115 -0.02471375 0.01023674 -0.003499925 -0.02469521 -0.006800234 -0.0115 -0.02471351 -0.01023668 -0.0115 -0.02652072 -0.003492474 -0.003499925 -0.02186524 0.007510185 -0.0115 -0.02389997 0 -0.0115 -0.02307498 -0.001428902 -0.0115 -0.02411049 -0.01124191 -0.0115 -0.01732689 -0.01530599 -0.0115 -0.01689982 -0.01689982 -0.0115 -0.01530599 -0.01732689 -0.0115 -0.01641732 -0.01022911 -0.0115 -0.009519159 -0.01924723 -0.0115 -0.01015055 -0.02077168 -0.0115 -0.01997148 -0.01295638 -0.0115 0.009146094 0.02208065 -0.008499979 0.007510185 0.02186524 -0.008499979 0.01015055 0.02077168 -0.008499979 0.00788325 0.01903188 -0.0115 0.009519159 0.01924723 -0.008499979 0.01413929 0.01616013 -0.0115 0.01136553 0.01330655 -0.0115 0.006878793 0.02034085 -0.0115 0.00788325 0.01903188 -0.008499979 0.006878793 0.02034085 -0.008499979 0 0.02389997 -0.008499979 -0.001428902 0.02307498 -0.008499979 0.001428902 0.02307498 -0.008499979 -0.005787432 0.01700204 -0.0115 0 0.02059996 -0.0115 0.001428902 0.02142488 -0.008499979 -0.009144425 0.01492059 -0.0115 -0.001428902 0.02142488 -0.0115 0 0.02059996 -0.008499979 -0.001428902 0.02142488 -0.008499979 -0.01530599 0.01732689 -0.0115 -0.01689982 0.01689982 -0.008499979 -0.01732689 0.01530599 -0.0115 -0.01732689 0.01530599 -0.008499979 -0.01295638 0.01997148 -0.0115 -0.01413929 0.01616013 -0.0115 -0.01530599 0.01732689 -0.008499979 -0.01022911 0.01641732 -0.0115 -0.01456636 0.01456636 -0.0115 -0.01413929 0.01616013 -0.008499979 -0.02142488 0.001428902 -0.0115 -0.01616013 0.01413929 -0.0115 -0.01456636 0.01456636 -0.008499979 -0.02059996 0 -0.0115 -0.01924723 0.009519159 -0.0115 -0.01616013 0.01413929 -0.008499979 -0.01903188 0.00788325 -0.0115 -0.02208065 0.009146094 -0.008499979 -0.02186524 0.007510185 -0.008499979 -0.02077168 0.01015055 -0.008499979 -0.01924723 0.009519159 -0.008499979 -0.02307498 0.001428902 -0.0115 -0.02034085 0.006878793 -0.0115 -0.01903188 0.00788325 -0.008499979 -0.02034085 0.006878793 -0.008499979 -0.02389997 0 -0.008499979 -0.02307498 -0.001428902 -0.008499979 -0.02307498 0.001428902 -0.008499979 -0.02142488 0.001428902 -0.008499979 -0.02114105 -0.004072964 -0.0115 -0.02142488 -0.001428902 -0.0115 -0.02059996 0 -0.008499979 -0.01616781 0.006696939 -0.0115 -0.02142488 -0.001428902 -0.008499979 -0.01689982 -0.01689982 -0.008499979 -0.01530599 -0.01732689 -0.008499979 -0.01616013 -0.01413929 -0.0115 -0.01732689 -0.01530599 -0.008499979 -0.01136553 -0.01330655 -0.0115 -0.01456636 -0.01456636 -0.0115 -0.01616013 -0.01413929 -0.008499979 -0.01413929 -0.01616013 -0.0115 -0.01456636 -0.01456636 -0.008499979 -0.01413929 -0.01616013 -0.008499979 -0.009146094 -0.02208065 -0.008499979 -0.007510185 -0.02186524 -0.008499979 -0.01015055 -0.02077168 -0.008499979 -0.00788325 -0.01903188 -0.0115 -0.009519159 -0.01924723 -0.008499979 -0.006878793 -0.02034085 -0.0115 -0.00788325 -0.01903188 -0.008499979 -0.006878793 -0.02034085 -0.008499979 0 -0.02389997 -0.008499979 0.001428902 -0.02307498 -0.008499979 -0.001428902 -0.02307498 -0.008499979 0.005787432 -0.01700204 -0.0115 0 -0.02059996 -0.0115 -0.001428902 -0.02142488 -0.008499979 0.009144425 -0.01492059 -0.0115 0.001428902 -0.02142488 -0.0115 0 -0.02059996 -0.008499979 0.001428902 -0.02142488 -0.008499979 0.01530599 -0.01732689 -0.0115 0.01689982 -0.01689982 -0.008499979 0.01732689 -0.01530599 -0.0115 0.01732689 -0.01530599 -0.008499979 0.01295638 -0.01997148 -0.0115 0.01413929 -0.01616013 -0.0115 0.01530599 -0.01732689 -0.008499979 0.01022911 -0.01641732 -0.0115 0.01456636 -0.01456636 -0.0115 0.01413929 -0.01616013 -0.008499979 0.02142488 -0.001428902 -0.0115 0.01616013 -0.01413929 -0.0115 0.01456636 -0.01456636 -0.008499979 0.02059996 0 -0.0115 0.01924723 -0.009519159 -0.0115 0.01616013 -0.01413929 -0.008499979 0.01903188 -0.00788325 -0.0115 0.02208065 -0.009146094 -0.008499979 0.02186524 -0.007510185 -0.008499979 0.02077168 -0.01015055 -0.008499979 0.01924723 -0.009519159 -0.008499979 0.02307498 -0.001428902 -0.0115 0.02034085 -0.006878793 -0.0115 0.01903188 -0.00788325 -0.008499979 0.02034085 -0.006878793 -0.008499979 0.02389997 0 -0.008499979 0.02307498 0.001428902 -0.008499979 0.02307498 -0.001428902 -0.008499979 0.02142488 -0.001428902 -0.008499979 0.02114105 0.004072964 -0.0115 0.02142488 0.001428902 -0.0115 0.02059996 0 -0.008499979 0.01616781 -0.006696939 -0.0115 0.02142488 0.001428902 -0.008499979 0.01689982 0.01689982 -0.008499979 0.01530599 0.01732689 -0.008499979 0.01616013 0.01413929 -0.0115 0.01732689 0.01530599 -0.008499979 0.01456636 0.01456636 -0.0115 0.01616013 0.01413929 -0.008499979 0.01456636 0.01456636 -0.008499979 0.01413929 0.01616013 -0.008499979 0.01616781 -0.006696939 -0.008499979 0.01701653 0.004084348 -0.0115 0.01701653 0.004084348 -0.008499979 0.009144425 -0.01492059 -0.008499979 -0.001372516 -0.01744586 -0.008499979 -0.01700204 -0.005787432 -0.0115 -0.01701653 -0.004084348 -0.0115 -0.01136553 -0.01330655 -0.008499979 -0.01701653 -0.004084348 -0.008499979 -0.01616781 0.006696939 -0.008499979 -0.009144425 0.01492059 -0.008499979 0.001372516 0.01744586 -0.008499979 0.01700204 0.005787432 -0.0115 0.01136553 0.01330655 -0.008499979 -0.009337425 0.01856994 -0.009169995 -0.007205784 0.01885056 -0.009169995 -0.01064628 0.02027565 -0.009169995 -0.009823501 0.02226191 -0.009169995 -0.00769186 0.02254265 -0.009169995 -0.006383061 0.02083688 -0.009169995 -0.01856994 -0.009337425 -0.009169995 -0.01885056 -0.007205784 -0.009169995 -0.02027565 -0.01064628 -0.009169995 -0.02226191 -0.009823501 -0.009169995 -0.02254265 -0.00769186 -0.009169995 -0.02083688 -0.006383061 -0.009169995 0.009337425 -0.01856994 -0.009169995 0.007205784 -0.01885056 -0.009169995 0.01064628 -0.02027565 -0.009169995 0.009823501 -0.02226191 -0.009169995 0.00769186 -0.02254265 -0.009169995 0.006383061 -0.02083688 -0.009169995 0.01856994 0.009337425 -0.009169995 0.01885056 0.007205784 -0.009169995 0.02027565 0.01064628 -0.009169995 0.02226191 0.009823501 -0.009169995 0.02254265 0.00769186 -0.009169995 0.02083688 0.006383061 -0.009169995 -0.02023094 -0.01552259 -0.003499925 -0.009758412 -0.02355891 -0.003499925 -0.02528166 -0.003327608 -0.003499925 -0.02355873 0.009758293 -0.003499925 -0.01552391 0.02022987 -0.003499925 0.009758412 0.02355891 -0.003499925 -0.003329277 0.0252816 -0.003499925 0.02023094 0.01552259 -0.003499925 0.02528166 0.003327608 -0.003499925 0.02355873 -0.009758293 -0.003499925 0.01552391 -0.02022987 -0.003499925 0.003329277 -0.0252816 -0.003499925 0.009567081 0.02309691 -0.003999948 0.01983374 0.01521909 -0.003999948 -0.003263056 0.02478611 -0.003999948 -0.01521897 0.01983386 -0.003999948 -0.02309691 0.009567081 -0.003999948 -0.02478611 -0.003263175 -0.003999948 -0.01983374 -0.01521909 -0.003999948 -0.009567081 -0.02309691 -0.003999948 0.003263056 -0.02478611 -0.003999948 0.01521897 -0.01983386 -0.003999948 0.02309691 -0.009567081 -0.003999948 0.02478611 0.003263175 -0.003999948 -0.01983422 -0.01521813 -0.008499979 -0.009567081 -0.02309691 -0.008499979 0.00326395 -0.02478575 -0.008499979 -0.02226215 -0.009823143 -0.008499979 -0.02309674 -0.009566962 -0.008499979 -0.01856994 -0.009337425 -0.008499979 -0.02027529 -0.0106461 -0.008499979 -0.02478575 -0.00326395 -0.008499979 -0.02254265 -0.00769186 -0.008499979 -0.02309691 0.009567081 -0.008499979 -0.01521813 0.01983422 -0.008499979 -0.009566962 0.02309674 -0.008499979 -0.00769186 0.02254265 -0.008499979 -0.00326395 0.02478575 -0.008499979 -0.0106461 0.02027529 -0.008499979 -0.009823143 0.02226215 -0.008499979 0.009567081 0.02309691 -0.008499979 -0.00638324 0.02083724 -0.008499979 0.01983422 0.01521813 -0.008499979 0.02226215 0.009823143 -0.008499979 0.02309674 0.009566962 -0.008499979 0.01856994 0.009337425 -0.008499979 0.02027529 0.0106461 -0.008499979 0.02478575 0.00326395 -0.008499979 0.02254265 0.00769186 -0.008499979 0.02309691 -0.009567081 -0.008499979 0.01521813 -0.01983422 -0.008499979 0.009566962 -0.02309674 -0.008499979 0.00769186 -0.02254265 -0.008499979 0.0106461 -0.02027529 -0.008499979 0.009823143 -0.02226215 -0.008499979 0.00638324 -0.02083724 -0.008499979 0.01885044 0.007206201 -0.008499979 0.009337425 -0.01856994 -0.008499979 0.02083724 0.00638324 -0.008499979 -0.007206201 0.01885044 -0.008499979 -0.009337425 0.01856994 -0.008499979 -0.01885044 -0.007206201 -0.008499979 -0.02083724 -0.00638324 -0.008499979 0.007206201 -0.01885044 -0.008499979 0.008514702 -0.0160762 0.01999998 0.009699344 -0.01334798 0.01999998 0 -0.01649999 0.01999998 0 -0.01649999 0.008499979 -0.005346834 -0.01738846 0.01999998 -0.009699344 -0.01334798 0.01999998 -0.009699344 -0.01334798 0.008499979 0.006275296 -0.01667636 0.01999998 0.004634678 -0.01831692 0.01999998 0.004034698 -0.02055627 0.01999998 0.004634678 -0.02279561 0.01999998 -0.004187345 -0.02171576 0.01999998 -0.004187524 -0.01939684 0.01999998 0.01239454 -0.01831692 0.01999998 0.01569235 -0.005098104 0.01999998 0.009699344 -0.01334798 0.008499979 0.01075398 -0.01667636 0.01999998 0.01622897 -0.009674191 0.01999998 0.01569235 0.005098104 0.01999998 0.01569235 -0.005098104 0.008499979 0.01299464 -0.02055627 0.01999998 0.01168239 0.01738858 0.01999998 0.009699344 0.01334798 0.01999998 0.01569235 0.005098104 0.008499979 0.01284199 0.01939678 0.01999998 0.01284182 0.02171576 0.01999998 0.0160762 0.008514702 0.01999998 0.005346834 0.01738846 0.01999998 0 0.01649999 0.01999998 0.009699344 0.01334798 0.008499979 0.007355213 0.01622915 0.01999998 0.009674191 0.01622897 0.01999998 -0.008514702 0.0160762 0.01999998 -0.009699344 0.01334798 0.01999998 0 0.01649999 0.008499979 -0.0062747 0.01667666 0.01999998 -0.004634857 0.0183162 0.01999998 -0.004034817 0.02055627 0.01999998 -0.004634857 0.02279627 0.01999998 0.004187345 0.02171576 0.01999998 0.004187524 0.01939684 0.01999998 -0.01239442 0.0183162 0.01999998 -0.01569235 0.005098104 0.01999998 -0.009699344 0.01334798 0.008499979 -0.01075452 0.01667666 0.01999998 -0.01622897 0.009674191 0.01999998 -0.01569235 -0.005098104 0.01999998 -0.01569235 0.005098104 0.008499979 -0.0129944 0.02055627 0.01999998 -0.01168239 -0.01738858 0.01999998 -0.01569235 -0.005098104 0.008499979 -0.01284199 -0.01939678 0.01999998 -0.01284182 -0.02171576 0.01999998 -0.0160762 -0.008514702 0.01999998 -0.007355213 -0.01622915 0.01999998 -0.009674191 -0.01622897 0.01999998 0.02799993 -0.032 0.01999998 0.01075398 -0.02443623 0.01999998 0.008514702 -0.02503627 0.01999998 0.008514702 -0.02270627 0.01766997 0.006275296 -0.02443623 0.01999998 0.007439613 -0.02241826 0.01766997 0.01239454 -0.02279561 0.01999998 0.009589672 -0.02241826 0.01766997 0.01037663 -0.0216313 0.01766997 0.0106647 -0.02055627 0.01766997 0.01037663 -0.0194813 0.01766997 0.009589672 -0.01869434 0.01766997 0.008514702 -0.01840627 0.01766997 0.007439613 -0.01869434 0.01766997 0.006652653 -0.0194813 0.01766997 0.006364703 -0.02055627 0.01766997 0.006652653 -0.0216313 0.01766997 -0.02799993 -0.032 0.01999998 -0.009674131 -0.02488338 0.01999998 -0.01168251 -0.02372407 0.01999998 -0.01003491 -0.02207648 0.01766997 -0.0183162 -0.01239442 0.01999998 -0.01059138 -0.02111274 0.01766997 -0.02279627 -0.01239442 0.01999998 -0.02443587 -0.01075452 0.01999998 -0.02799993 -0.0115 0.01999998 -0.02055627 -0.0129944 0.01999998 -0.007355153 -0.02488356 0.01999998 -0.009071111 -0.02263301 0.01766997 -0.005346894 -0.02372395 0.01999998 -0.007958233 -0.02263301 0.01766997 -0.006994426 -0.02207648 0.01766997 -0.006437957 -0.02111274 0.01766997 -0.006437957 -0.01999986 0.01766997 -0.006994426 -0.01903599 0.01766997 -0.007958233 -0.01847952 0.01766997 -0.009071111 -0.01847952 0.01766997 -0.01003491 -0.01903599 0.01766997 -0.01059138 -0.01999986 0.01766997 -0.01667666 -0.01075452 0.01999998 -0.02503627 -0.008514702 0.01999998 -0.02270627 -0.008514702 0.01766997 -0.02488356 0.007355153 0.01999998 -0.02443587 -0.0062747 0.01999998 -0.02241826 -0.007439613 0.01766997 -0.02799993 0.032 0.01999998 -0.02799993 0.0115 0.01999998 -0.02241826 -0.009589672 0.01766997 -0.0216313 -0.01037663 0.01766997 -0.02055627 -0.0106647 0.01766997 -0.0194813 -0.01037663 0.01766997 -0.01869434 -0.009589672 0.01766997 -0.01622915 0.007355213 0.01999998 -0.01667666 -0.0062747 0.01999998 -0.01840627 -0.008514702 0.01766997 -0.01738846 0.005346834 0.01999998 -0.0183162 -0.004634857 0.01999998 -0.01869434 -0.007439613 0.01766997 -0.01939684 0.004187524 0.01999998 -0.02055627 -0.004034817 0.01999998 -0.0194813 -0.006652653 0.01766997 -0.02171576 0.004187345 0.01999998 -0.02279627 -0.004634857 0.01999998 -0.02055627 -0.006364703 0.01766997 -0.02372395 0.005346894 0.01999998 -0.0216313 -0.006652653 0.01766997 -0.02488338 0.009674131 0.01999998 -0.02372407 0.01168251 0.01999998 -0.02207648 0.01003491 0.01766997 -0.02171576 0.01284182 0.01999998 -0.02111274 0.01059138 0.01766997 -0.02263301 0.009071111 0.01766997 -0.02263301 0.007958233 0.01766997 -0.02207648 0.006994426 0.01766997 -0.02111274 0.006437957 0.01766997 -0.01999986 0.006437957 0.01766997 -0.01903599 0.006994426 0.01766997 -0.01847952 0.007958233 0.01766997 -0.01738858 0.01168239 0.01999998 -0.01847952 0.009071111 0.01766997 -0.01939678 0.01284199 0.01999998 -0.01903599 0.01003491 0.01766997 -0.01999986 0.01059138 0.01766997 -0.01075452 0.02443587 0.01999998 -0.008514702 0.02503627 0.01999998 -0.008514702 0.02270627 0.01766997 -0.0062747 0.02443587 0.01999998 -0.007439613 0.02241826 0.01766997 -0.01239442 0.02279627 0.01999998 -0.009589672 0.02241826 0.01766997 -0.01037663 0.0216313 0.01766997 -0.0106647 0.02055627 0.01766997 -0.01037663 0.0194813 0.01766997 -0.009589672 0.01869434 0.01766997 -0.008514702 0.01840627 0.01766997 -0.007439613 0.01869434 0.01766997 -0.006652653 0.0194813 0.01766997 -0.006364703 0.02055627 0.01766997 -0.006652653 0.0216313 0.01766997 0.02799993 0.032 0.01999998 0.009674131 0.02488338 0.01999998 0.01168251 0.02372407 0.01999998 0.01003491 0.02207648 0.01766997 0.0183162 0.01239442 0.01999998 0.01059138 0.02111274 0.01766997 0.02279627 0.01239442 0.01999998 0.02443587 0.01075452 0.01999998 0.02055627 0.0129944 0.01999998 0.007355153 0.02488356 0.01999998 0.009071111 0.02263301 0.01766997 0.005346894 0.02372395 0.01999998 0.007958233 0.02263301 0.01766997 0.006994426 0.02207648 0.01766997 0.006437957 0.02111274 0.01766997 0.006437957 0.01999986 0.01766997 0.006994426 0.01903599 0.01766997 0.007958233 0.01847952 0.01766997 0.009071111 0.01847952 0.01766997 0.01003491 0.01903599 0.01766997 0.01059138 0.01999986 0.01766997 0.01667666 0.01075452 0.01999998 0.02503627 0.008514702 0.01999998 0.02270627 0.008514702 0.01766997 0.02488356 -0.007355153 0.01999998 0.02443587 0.0062747 0.01999998 0.02241826 0.007439613 0.01766997 0.02241826 0.009589672 0.01766997 0.0216313 0.01037663 0.01766997 0.02055627 0.0106647 0.01766997 0.0194813 0.01037663 0.01766997 0.01869434 0.009589672 0.01766997 0.01622915 -0.007355213 0.01999998 0.01667666 0.0062747 0.01999998 0.01840627 0.008514702 0.01766997 0.01738846 -0.005346834 0.01999998 0.0183162 0.004634857 0.01999998 0.01869434 0.007439613 0.01766997 0.01939684 -0.004187524 0.01999998 0.02055627 0.004034817 0.01999998 0.0194813 0.006652653 0.01766997 0.02171576 -0.004187345 0.01999998 0.02279627 0.004634857 0.01999998 0.02055627 0.006364703 0.01766997 0.02372395 -0.005346894 0.01999998 0.0216313 0.006652653 0.01766997 0.02488338 -0.009674131 0.01999998 0.02372407 -0.01168251 0.01999998 0.02207648 -0.01003491 0.01766997 0.02171576 -0.01284182 0.01999998 0.02111274 -0.01059138 0.01766997 0.02263301 -0.009071111 0.01766997 0.02263301 -0.007958233 0.01766997 0.02207648 -0.006994426 0.01766997 0.02111274 -0.006437957 0.01766997 0.01999986 -0.006437957 0.01766997 0.01903599 -0.006994426 0.01766997 0.01847952 -0.007958233 0.01766997 0.01738858 -0.01168239 0.01999998 0.01847952 -0.009071111 0.01766997 0.01939678 -0.01284199 0.01999998 0.01903599 -0.01003491 0.01766997 0.01999986 -0.01059138 0.01766997 -0.02612495 0.032 0.01769852 -0.02999997 0.0115 0.01799988 -0.02999997 0.032 0.01799988 -0.02999997 0.032 0.01349991 -0.02799993 0.032 0.0115 -0.02724999 0.032 0.01574999 0.02999997 0.032 0.01799988 0.02799993 0.032 0.0115 -0.02387493 0.032 0.01769852 -0.01662492 0.032 0.01769852 -0.01437497 0.032 0.01769852 -0.01324999 0.032 0.01574999 0.01437497 0.032 0.01769852 0.02724999 0.032 0.01574999 0.02612495 0.032 0.01769852 0.02387493 0.032 0.01769852 0.01774996 0.032 0.01574999 0.01662492 0.032 0.01769852 0.02612495 -0.032 0.01769852 0.02999997 -0.032 0.01799988 0.02999997 -0.032 0.01349991 0.02799993 -0.032 0.0115 0.02724999 -0.032 0.01574999 -0.02999997 -0.032 0.01799988 -0.02799993 -0.032 0.0115 -0.02724999 -0.032 0.01574999 -0.02612495 -0.032 0.01769852 -0.02387493 -0.032 0.01769852 -0.01774996 -0.032 0.01574999 -0.01662492 -0.032 0.01769852 -0.01437497 -0.032 0.01769852 0.01324999 -0.032 0.01574999 0.02387493 -0.032 0.01769852 0.01662492 -0.032 0.01769852 0.01437497 -0.032 0.01769852 -0.02975732 0.007257342 0.01999998 -0.02975732 -0.007257342 0.01999998 -0.02999997 -0.0115 0.01799988 -0.03399991 0.005499899 0.01999998 -0.03399991 -0.005499899 0.01999998 -0.03117156 -0.008671522 0.01799988 -0.04799991 0.005499899 0.01999998 -0.04799991 -0.005499899 0.01999998 -0.03399991 -0.007499933 0.01799988 -0.05082833 0.005499899 0.01882839 -0.04799991 -0.007499933 0.01799988 -0.05082833 -0.005499899 0.01882839 -0.04799991 0.007499933 0.01799988 -0.04941415 0.007499933 0.01741421 -0.03399991 0.007499933 0.01799988 -0.03117156 0.008671522 0.01799988 -0.009071111 -0.01847952 0.008499979 0.001249969 -0.01883482 0.008499979 -0.006994426 -0.01903599 0.008499979 -0.006437957 -0.02111274 0.008499979 -0.002499938 -0.0209999 0.008499979 -0.001249969 -0.01883482 0.008499979 -0.01350069 -0.02338194 0.008499979 -0.01059138 -0.01999986 0.008499979 -0.01840627 -0.008514702 0.008499979 -0.0194813 -0.01037663 0.008499979 -0.01037663 0.0194813 0.008499979 -0.01350069 0.02338194 0.008499979 -0.01037663 0.0216313 0.008499979 -0.001249969 0.01883482 0.008499979 -0.008514702 0.01840627 0.008499979 -0.006652653 0.0194813 0.008499979 -0.002499938 0.0209999 0.008499979 0.009071111 0.01847952 0.008499979 0.006994426 0.01903599 0.008499979 0.006437957 0.02111274 0.008499979 0.002499938 0.0209999 0.008499979 0.001249969 0.01883482 0.008499979 0.01350069 0.02338194 0.008499979 0.01059138 0.01999986 0.008499979 0.01840627 0.008514702 0.008499979 0.0194813 0.01037663 0.008499979 0.01037663 -0.0194813 0.008499979 0.01037663 -0.0216313 0.008499979 0.01350069 -0.02338194 0.008499979 0.008514702 -0.01840627 0.008499979 0.006652653 -0.0194813 0.008499979 0.002499938 -0.0209999 0.008499979 -0.008514702 0.02270627 0.008499979 0 0.02699995 0.008499979 0 0.02699995 0.0115 0.001249969 0.02316498 0.008499979 0.01349973 0.02338236 0.0115 -0.006652653 0.0216313 0.008499979 -0.001249969 0.02316498 0.008499979 -0.02207648 0.01003491 0.008499979 -0.02338194 0.01350069 0.008499979 -0.01349973 0.02338236 0.0115 -0.01847952 0.009071111 0.008499979 -0.01999986 0.01059138 0.008499979 -0.02338194 -0.01350069 0.008499979 -0.02699995 0 0.008499979 -0.02338266 0.01349991 0.0115 -0.02316498 0.001249969 0.008499979 -0.02263301 0.007958233 0.008499979 -0.02699965 0 0.0115 -0.02338266 -0.01349991 0.0115 -0.0216313 -0.01037663 0.008499979 -0.02270627 -0.008514702 0.008499979 -0.02316498 -0.001249969 0.008499979 -0.001249969 -0.02316498 0.008499979 0 -0.02699995 0.008499979 -0.01349973 -0.02338236 0.0115 -0.01003491 -0.02207648 0.008499979 -0.007958233 -0.02263301 0.008499979 0.008514702 -0.02270627 0.008499979 0 -0.02699995 0.0115 0.006652653 -0.0216313 0.008499979 0.001249969 -0.02316498 0.008499979 0.02207648 -0.01003491 0.008499979 0.02338194 -0.01350069 0.008499979 0.01349973 -0.02338236 0.0115 0.01847952 -0.009071111 0.008499979 0.01999986 -0.01059138 0.008499979 0.02338194 0.01350069 0.008499979 0.02699995 0 0.008499979 0.02338266 -0.01349991 0.0115 0.02316498 -0.001249969 0.008499979 0.02263301 -0.007958233 0.008499979 0.02699965 0 0.0115 0.02338266 0.01349991 0.0115 0.0216313 0.01037663 0.008499979 0.02270627 0.008514702 0.008499979 0.02316498 0.001249969 0.008499979 0.01003491 0.02207648 0.008499979 0.007958233 0.02263301 0.008499979 -0.0209999 -0.002499938 0.008499979 -0.0216313 -0.006652653 0.008499979 -0.0194813 -0.006652653 0.008499979 -0.01883482 -0.001249969 0.008499979 -0.01883482 0.001249969 0.008499979 -0.01903599 0.006994426 0.008499979 -0.0209999 0.002499938 0.008499979 -0.02111274 0.006437957 0.008499979 0.0209999 0.002499938 0.008499979 0.0216313 0.006652653 0.008499979 0.0194813 0.006652653 0.008499979 0.01883482 0.001249969 0.008499979 0.01883482 -0.001249969 0.008499979 0.01903599 -0.006994426 0.008499979 0.0209999 -0.002499938 0.008499979 0.02111274 -0.006437957 0.008499979 -0.0209999 -0.002499938 0.01349991 -0.01883476 -0.001249194 0.01349991 -0.02316516 -0.001249194 0.01349991 -0.02316516 0.001249194 0.01349991 -0.0209999 0.002499938 0.01349991 -0.01883476 0.001249194 0.01349991 -0.002499938 0.0209999 0.01349991 -0.001249194 0.01883476 0.01349991 -0.001249194 0.02316516 0.01349991 0.001249194 0.02316516 0.01349991 0.002499938 0.0209999 0.01349991 0.001249194 0.01883476 0.01349991 0.0209999 0.002499938 0.01349991 0.01883476 0.001249194 0.01349991 0.02316516 0.001249194 0.01349991 0.02316516 -0.001249194 0.01349991 0.0209999 -0.002499938 0.01349991 0.01883476 -0.001249194 0.01349991 0.002499938 -0.0209999 0.01349991 0.001249194 -0.01883476 0.01349991 0.001249194 -0.02316516 0.01349991 -0.001249194 -0.02316516 0.01349991 -0.002499938 -0.0209999 0.01349991 -0.001249194 -0.01883476 0.01349991 0.02999997 0.032 0.01349991 -0.02999997 -0.032 0.01349991 -0.02999997 -0.0115 0.01349991 -0.02612495 -0.032 0.01380133 -0.02387493 -0.032 0.01380133 -0.01662492 -0.032 0.01380133 -0.01437497 -0.032 0.01380133 -0.01324999 -0.032 0.01574999 0.01437497 -0.032 0.01380133 0.02612495 -0.032 0.01380133 0.02387493 -0.032 0.01380133 0.01774996 -0.032 0.01574999 0.01662492 -0.032 0.01380133 -0.02799993 -0.0115 0.0115 -0.02724999 -0.01999998 0.01574999 -0.02612495 -0.01999998 0.01769852 -0.02612495 -0.01999998 0.01380133 -0.02274996 -0.032 0.01574999 -0.02387493 -0.01999998 0.01380133 -0.02274996 -0.01999998 0.01574999 -0.02387493 -0.01999998 0.01769852 -0.01774996 -0.01999998 0.01574999 -0.01662492 -0.01999998 0.01769852 -0.01662492 -0.01999998 0.01380133 -0.01437497 -0.01999998 0.01380133 -0.01324999 -0.01999998 0.01574999 -0.01437497 -0.01999998 0.01769852 0.02724999 -0.01999998 0.01574999 0.02612495 -0.01999998 0.01380133 0.02612495 -0.01999998 0.01769852 0.02274996 -0.032 0.01574999 0.02387493 -0.01999998 0.01769852 0.02274996 -0.01999998 0.01574999 0.02387493 -0.01999998 0.01380133 0.01774996 -0.01999998 0.01574999 0.01662492 -0.01999998 0.01380133 0.01662492 -0.01999998 0.01769852 0.01437497 -0.01999998 0.01769852 0.01324999 -0.01999998 0.01574999 0.01437497 -0.01999998 0.01380133 -0.03117156 -0.008671522 0.01349991 -0.02999997 0.0115 0.01349991 -0.02799993 0.0115 0.0115 -0.03117156 0.008671522 0.01349991 -0.02975732 0.007257342 0.0115 -0.02724999 0.01999998 0.01574999 -0.02612495 0.032 0.01380133 -0.02612495 0.01999998 0.01380133 -0.02612495 0.01999998 0.01769852 -0.02274996 0.032 0.01574999 -0.02387493 0.01999998 0.01769852 -0.01774996 0.032 0.01574999 -0.02387493 0.032 0.01380133 -0.02274996 0.01999998 0.01574999 -0.02387493 0.01999998 0.01380133 -0.01774996 0.01999998 0.01574999 -0.01662492 0.032 0.01380133 -0.01662492 0.01999998 0.01380133 -0.01662492 0.01999998 0.01769852 -0.01437497 0.01999998 0.01769852 0.01324999 0.032 0.01574999 -0.01437497 0.032 0.01380133 -0.01324999 0.01999998 0.01574999 -0.01437497 0.01999998 0.01380133 0.02612495 0.032 0.01380133 0.02387493 0.032 0.01380133 0.01662492 0.032 0.01380133 0.01437497 0.032 0.01380133 0.02724999 0.01999998 0.01574999 0.02612495 0.01999998 0.01769852 0.02612495 0.01999998 0.01380133 0.02274996 0.032 0.01574999 0.02387493 0.01999998 0.01380133 0.02274996 0.01999998 0.01574999 0.02387493 0.01999998 0.01769852 0.01774996 0.01999998 0.01574999 0.01662492 0.01999998 0.01769852 0.01662492 0.01999998 0.01380133 0.01437497 0.01999998 0.01380133 0.01324999 0.01999998 0.01574999 0.01437497 0.01999998 0.01769852 -0.02975732 -0.007257342 0.0115 -0.03399991 -0.005499899 0.0115 -0.03399991 0.005499899 0.0115 -0.03899997 -0.005499899 0.0115 -0.03899997 0.005499899 0.0115 -0.03399991 0.007499933 0.01349991 -0.04182839 -0.005499899 0.01032841 -0.03899997 0.007499933 0.01349991 -0.04182839 0.005499899 0.01032841 -0.03899997 -0.007499933 0.01349991 -0.04324263 -0.007499933 0.01174265 -0.03399991 -0.007499933 0.01349991 -0.02499997 0.01864796 0.01574999 -0.01549988 0.01864796 0.01574999 -0.05199992 -0.005499899 0.01599997 -0.05199992 0.005499899 -0.009499967 -0.05199992 -0.005499899 -0.009499967 -0.04999995 -0.007499933 -0.0115 -0.04999995 -0.007499933 0.01599997 -0.05199992 0.005499899 0.01599997 -0.04999995 0.007499933 -0.0115 -0.04999995 0.007499933 0.01599997 -0.04941415 -0.007499933 0.01741421 -0.04499989 -0.007499933 0.007499933 -0.04499989 -0.007499933 -0.0115 -0.04299998 -0.005499899 0.007499933 -0.04499989 0.007499933 -0.0115 -0.04299998 -0.005499899 -0.009499967 -0.04499989 0.007499933 0.007499933 -0.04299998 0.005499899 -0.009499967 -0.04324263 0.007499933 0.01174265 -0.04299998 0.005499899 0.007499933 0.02499997 0.01864796 0.01574999 0.01549988 0.01864796 0.01574999 -0.02499997 -0.01864796 0.01574999 -0.01549988 -0.01864796 0.01574999 0.02499997 -0.01864796 0.01574999 0.01549988 -0.01864796 0.01574999 0.07531148 0.02799993 -0.002667248 0.08449137 0.02799993 -0.002717256 0.08592033 0.02799993 -0.001892209 0.08592033 0.03599995 -0.001892209 0.04248499 0.02799993 0.1104181 0.08734923 0.02799993 -0.002717256 0.08734923 0.03599995 -0.002717256 0.06470268 0.02799993 -0.001892209 0.06613165 0.02799993 -0.002717256 0.07799047 0.02799993 -0.00320065 0.08449137 0.02799993 -0.004367232 0.08449137 0.03599995 -0.002717256 0.08025968 0.02799993 -0.004716277 0.08592033 0.02799993 -0.00519222 0.08449137 0.03599995 -0.004367232 0.08919864 0.02799993 -0.003997385 0.08734923 0.02799993 -0.004367232 0.08592033 0.03599995 -0.00519222 0.081779 0.02799993 -0.006989538 0.08734923 0.03599995 -0.004367232 0.08499366 0.02799993 -0.02112287 0.07674044 0.02799993 -0.02109223 0.07674044 0.02799993 -0.02274227 0.07674044 0.03599995 -0.02274227 0.07531148 0.02799993 -0.02356719 0.07531148 0.03599995 -0.02356719 0.08987808 0.02799993 -0.01324546 0.07531148 0.02799993 -0.02026718 0.07674044 0.03599995 -0.02109223 0.06741172 0.02799993 -0.02241802 0.07388257 0.02799993 -0.02109223 0.07531148 0.03599995 -0.02026718 0.07799053 0.02799993 -0.01613378 0.07531148 0.02799993 -0.01666718 0.07388257 0.02799993 -0.02274227 0.07388257 0.03599995 -0.02109223 0.07641375 0.02799993 -0.02462583 0.07388257 0.03599995 -0.02274227 0.06142437 0.02799993 -0.01533704 0.06470268 0.02799993 -0.00519222 0.06327372 0.02799993 -0.004367232 0.06327372 0.03599995 -0.004367232 0.06327372 0.02799993 -0.002717256 0.06327372 0.03599995 -0.002717256 0.07036328 0.02799993 -0.004716396 0.06613165 0.02799993 -0.004367232 0.06470268 0.03599995 -0.00519222 0.06884402 0.02799993 -0.006989598 0.07263243 0.02799993 -0.00320065 0.06613165 0.03599995 -0.004367232 0.06613165 0.03599995 -0.002717256 0.05148309 0.02799993 0.009011924 0.06470268 0.03599995 -0.001892209 -0.03082841 0.02799993 0.01067149 -0.02941381 0.02799993 0.01208609 -0.02999997 0.02799993 0.01349991 -0.032 0.02799993 0.01349991 -0.02999997 0.02799993 0.01799988 -0.02799993 0.02799993 0.0115 -0.02941381 0.032 0.01208609 0.02799993 0.02799993 0.0115 0.03746408 0.02799993 0.0115 0.02941381 0.02799993 0.01208609 0.02999997 0.02799993 0.01349991 0.02941381 0.032 0.01208609 0.02999997 0.02799993 0.01799988 0.02941381 0.02799993 0.01941382 0.02799993 0.02799993 0.01999998 0.02941381 0.032 0.01941382 -0.003999948 0.02799993 0.02399992 -0.02799993 0.02799993 0.01999998 -0.002586007 0.02799993 0.02458608 -0.032 0.02799993 0.02399992 -0.02941381 0.02799993 0.01941382 -0.02941381 0.032 0.01941382 -0.007087469 0.02799993 0.1464987 0.005825281 0.02799993 0.1425669 0.01023364 0.02799993 0.1439999 0.01023364 0.02849996 0.1435 0.03872418 0.02799993 0.143145 0.014642 0.02799993 0.1425669 0.01434779 0.02849996 0.1421633 0.02023363 0.02799993 0.1538205 -0.00976634 0.02799993 0.1365 0.003101468 0.02799993 0.1388193 0.006119549 0.02849996 0.1421633 0.003101468 0.02799993 0.1341807 0.003576219 0.02849996 0.1386632 -0.00976634 0.02799993 0.08906137 0.005825221 0.02799993 0.130433 0.003576219 0.02849996 0.1343367 0.01023364 0.02799993 0.129 0.006119489 0.02849996 0.1308366 0.04218822 0.02799993 0.1371449 0.014642 0.02799993 0.130433 0.01023364 0.02849996 0.1295 0.04218822 0.02799993 0.1119301 0.01736575 0.02799993 0.1341806 0.01434773 0.02849996 0.1308366 0.01736575 0.02799993 0.1388193 0.01689094 0.02849996 0.1343367 0.016891 0.02849996 0.1386632 0.07531148 0.02849996 -0.01616722 0.07263249 0.02799993 -0.01613378 0.07282453 0.02849996 -0.01567268 0.08025968 0.02799993 -0.01461803 0.07779854 0.02849996 -0.01567262 0.081779 0.02799993 -0.01234483 0.07990747 0.02849996 -0.01426362 0.08231091 0.02799993 -0.009667217 0.08131664 0.02849996 -0.01215481 0.08181148 0.02849996 -0.009667217 0.08131664 0.02849996 -0.007179558 0.07990741 0.02849996 -0.005070805 0.07779848 0.02849996 -0.003661811 0.07531148 0.02849996 -0.003167212 0.07282447 0.02849996 -0.003661811 0.07071554 0.02849996 -0.005070805 0.06831204 0.02799993 -0.009667277 0.06930637 0.02849996 -0.007179558 0.06884402 0.02799993 -0.01234489 0.06881147 0.02849996 -0.009667277 0.07036334 0.02799993 -0.01461809 0.06930637 0.02849996 -0.01215481 0.07071554 0.02849996 -0.01426362 0.08919864 0.03599995 -0.003997385 0.04248499 0.03599995 0.1104181 0.08987808 0.03599995 -0.01324546 0.08499366 0.03599995 -0.02112287 0.07641375 0.03599995 -0.02462583 0.06741172 0.03599995 -0.02241802 0.06142437 0.03599995 -0.01533704 0.05001044 0.02799993 0.01081997 0.05148309 0.03599995 0.009011924 0.04777979 0.02799993 0.0115 0.05001044 0.03599995 0.01081997 0.04777979 0.03599995 0.0115 0.03546398 0.02799993 0.01096403 0.03746408 0.03599995 0.0115 -0.02799993 0.02799993 0.009499967 0.03399991 0.02799993 0.009499967 0.03546398 0.03599995 0.01096403 0.03399991 0.03599995 0.009499967 -0.02799993 0.03599995 0.009499967 -0.03082841 0.03599995 0.01067149 -0.032 0.03599995 0.01349991 -0.032 0.03299999 0.02399992 -0.003999948 0.03299999 0.02399992 -0.001999974 0.02799993 0.02599996 -0.002586007 0.03299999 0.02458608 -0.001999974 0.02799993 0.04049998 -0.001999974 0.03299999 0.02599996 -0.002586007 0.02799993 0.0419138 -0.001999974 0.03299999 0.04049998 -0.003999948 0.02799993 0.04249989 -0.002586007 0.03299999 0.0419138 -0.032 0.02799993 0.04249989 -0.003999948 0.03299999 0.04249989 -0.032 0.02799993 0.04487758 -0.032 0.03299999 0.04249989 -0.01039606 0.02799993 0.08229672 -0.032 0.03599995 0.04487758 -0.01001763 0.02799993 0.08318561 -0.01039606 0.03599995 0.08229672 -0.009863257 0.02799993 0.08413922 -0.01001763 0.03599995 0.08318561 -0.009790599 0.02799993 0.0865975 -0.009863257 0.03599995 0.08413922 -0.009790599 0.03599995 0.0865975 -0.00976634 0.03599995 0.08906137 0.04226315 0.02799993 0.1111596 -0.00976634 0.03599995 0.1365 2.32653e-4 0.02799993 0.1538199 2.31966e-4 0.03599995 0.1538195 -0.007087588 0.03599995 0.1464986 0.0102337 0.02799993 0.1565 0.01023364 0.03599995 0.1565 0.02023363 0.03599995 0.1538205 0.01023364 0.04099988 0.1565 0.04218822 0.03599995 0.1371449 0.03872418 0.03599995 0.143145 0.04218822 0.03599995 0.1119301 0.04226315 0.03599995 0.1111596 0.04400432 0.03599995 0.08316206 7.45364e-4 0.03599995 0.06982409 0.04249256 0.03599995 0.08686536 0.04249256 0.02899998 0.08686536 0.04706573 0.03599995 0.08314627 0.04466843 0.03599995 0.089019 0.04466843 0.02899998 0.089019 -0.004293799 0.03599995 0.06344664 -0.00181365 0.03599995 0.06966745 7.45364e-4 0.02899998 0.06982409 -0.003944218 0.03599995 0.07109898 -0.00181365 0.02899998 0.06966745 -0.004766345 0.03599995 0.07352745 -0.003944218 0.02899998 0.07109898 -0.004766345 0.03599995 0.088225 -0.004766345 0.02899998 0.07352745 -0.004572451 0.03599995 0.08945447 -0.004766345 0.02899998 0.088225 -0.004010379 0.03599995 0.09056496 -0.004572451 0.02899998 0.08945447 7.45364e-4 0.03599995 0.09682661 0.03455615 0.03599995 0.1063079 -0.004010379 0.02899998 0.09056496 -0.00181365 0.03599995 0.09667003 -0.003944218 0.03599995 0.09810149 -0.004766345 0.03599995 0.10053 -0.00902152 0.03599995 0.1310948 0.03304439 0.03599995 0.1100112 0.03761756 0.03599995 0.1062922 0.03455615 0.02899998 0.1063079 0.03977113 0.03599995 0.1041163 0.03761756 0.02899998 0.1062922 0.04468423 0.03599995 0.09208041 0.03977113 0.02899998 0.1041163 0.04921931 0.03599995 0.0809704 0.04468423 0.02899998 0.09208041 0.0613889 0.03599995 0.04057353 0.06290066 0.03599995 0.0368703 0.04406958 0.03599995 0.02918338 0.04406958 0.02899998 0.02918338 0.01534092 0.03599995 0.02177673 0.04206138 0.03599995 0.02737903 0.04206138 0.02899998 0.02737903 0.06596213 0.03599995 0.0368545 0.06290066 0.02899998 0.0368703 0.06356489 0.03599995 0.04272723 0.06811577 0.03599995 0.03467857 0.06596213 0.02899998 0.0368545 0.07125353 0.03599995 0.02699178 0.06811577 0.02899998 0.03467857 0.06358063 0.03599995 0.04578858 0.07141017 0.03599995 0.02443265 0.07125353 0.02899998 0.02699178 0.06997865 0.03599995 0.02230221 0.07141017 0.02899998 0.02443265 0.06755018 0.03599995 0.02148008 0.06997865 0.02899998 0.02230221 0.04558134 0.03599995 0.02148008 0.06755018 0.02899998 0.02148008 0.04304009 0.03599995 0.02239173 0.04558134 0.02899998 0.02148008 0.01382923 0.03599995 0.02148008 0.02499997 0.03599995 0.01839995 0.0145995 0.03599995 0.02155488 0.04165619 0.03599995 0.02470982 0.04304009 0.02899998 0.02239173 0.04165619 0.02899998 0.02470982 -0.02687335 0.03599995 0.01387649 -0.02499997 0.03599995 0.0130999 -0.02499997 0.032 0.0130999 -0.01549988 0.03599995 0.0130999 -0.02312654 0.03599995 0.01387649 -0.02312654 0.032 0.01387649 -0.02764993 0.03599995 0.01574999 -0.02687335 0.032 0.01387649 -0.02687335 0.03599995 0.01762336 -0.02764993 0.032 0.01574999 -0.02499997 0.03599995 0.01839995 -0.02687335 0.032 0.01762336 -0.01737338 0.03599995 0.01762336 -0.02312654 0.03599995 0.01762336 -0.02499997 0.032 0.01839995 -0.01549988 0.03599995 0.01839995 -0.01814997 0.03599995 0.01574999 -0.02234995 0.03599995 0.01574999 -0.02312654 0.032 0.01762336 -0.01737338 0.03599995 0.01387649 -0.02234995 0.032 0.01574999 -0.01549988 0.032 0.0130999 0.01549988 0.03599995 0.0130999 -0.01362651 0.03599995 0.01387649 -0.01362651 0.032 0.01387649 -0.01737338 0.032 0.01387649 -0.01814997 0.032 0.01574999 -0.01737338 0.032 0.01762336 0.01362651 0.03599995 0.01762336 -0.01362651 0.03599995 0.01762336 -0.01549988 0.032 0.01839995 0.01549988 0.03599995 0.01839995 0.004565596 0.03599995 0.02148008 0.001737177 0.03599995 0.02265167 -0.01607549 0.03599995 0.0313887 0.01284992 0.03599995 0.01574999 -0.01284992 0.03599995 0.01574999 -0.01362651 0.032 0.01762336 0.01362651 0.03599995 0.01387649 -0.01284992 0.032 0.01574999 0.01737338 0.03599995 0.01387649 0.02312654 0.03599995 0.01387649 0.02499997 0.03599995 0.0130999 0.02499997 0.032 0.0130999 0.02687335 0.03599995 0.01387649 0.02687335 0.032 0.01387649 0.01814997 0.03599995 0.01574999 0.02234995 0.03599995 0.01574999 0.02312654 0.032 0.01387649 0.01737338 0.03599995 0.01762336 0.02312654 0.03599995 0.01762336 0.02234995 0.032 0.01574999 0.02312654 0.032 0.01762336 0.02687335 0.03599995 0.01762336 0.02499997 0.032 0.01839995 0.02764993 0.03599995 0.01574999 0.02687335 0.032 0.01762336 0.02764993 0.032 0.01574999 0.01549988 0.032 0.0130999 0.01737338 0.032 0.01387649 0.01362651 0.032 0.01387649 0.01284992 0.032 0.01574999 0.01362651 0.032 0.01762336 0.01549988 0.032 0.01839995 0.01737338 0.032 0.01762336 0.01814997 0.032 0.01574999 0.08025968 0.03599995 -0.004716277 0.081779 0.03599995 -0.006989538 0.07799047 0.03599995 -0.00320065 0.07531148 0.03599995 -0.002667248 0.07531148 0.03599995 -0.01666718 0.06831204 0.03599995 -0.009667277 0.06884402 0.03599995 -0.01234489 0.07263243 0.03599995 -0.00320065 0.07036328 0.03599995 -0.004716396 0.06884402 0.03599995 -0.006989598 -0.01392436 0.03599995 0.0313887 -0.008075475 0.03599995 0.0313887 -0.006999969 0.03599995 0.03109997 -0.006999969 0.03299999 0.03109997 5.65618e-4 0.03599995 0.02548009 -0.005924463 0.03599995 0.0313887 -0.005924463 0.03299999 0.0313887 -0.01499992 0.03599995 0.03109997 -0.01313877 0.03599995 0.0321744 -0.008861184 0.03599995 0.0321744 -0.008075475 0.03299999 0.0313887 -0.01284992 0.03599995 0.03324997 -0.009149968 0.03599995 0.03324997 -0.008861184 0.03299999 0.0321744 -0.01313877 0.03599995 0.03432548 -0.008861184 0.03599995 0.03432548 -0.009149968 0.03299999 0.03324997 -0.01392436 0.03599995 0.03511112 -0.008075475 0.03599995 0.03511112 -0.008861184 0.03299999 0.03432548 -0.01499992 0.03599995 0.03539997 -0.006999969 0.03599995 0.03539997 -0.008075475 0.03299999 0.03511112 5.65618e-4 0.03599995 0.03567516 -0.005924463 0.03599995 0.03511112 -0.006999969 0.03299999 0.03539997 -0.005138695 0.03599995 0.03432548 -0.005924463 0.03299999 0.03511112 -0.00484997 0.03599995 0.03324997 -0.005138695 0.03299999 0.03432548 -0.005138695 0.03599995 0.0321744 -0.00484997 0.03299999 0.03324997 -0.005138695 0.03299999 0.0321744 -0.01499992 0.03299999 0.03109997 -0.01392436 0.03299999 0.0313887 -0.0168612 0.03599995 0.0321744 -0.01607549 0.03299999 0.0313887 -0.01714998 0.03599995 0.03324997 -0.0168612 0.03299999 0.0321744 -0.0168612 0.03599995 0.03432548 -0.01714998 0.03299999 0.03324997 -0.01607549 0.03599995 0.03511112 -0.0168612 0.03299999 0.03432548 -0.01607549 0.03299999 0.03511112 -0.01499992 0.03299999 0.03539997 -0.01392436 0.03299999 0.03511112 -0.01313877 0.03299999 0.03432548 -0.01284992 0.03299999 0.03324997 -0.01313877 0.03299999 0.0321744 0.003321409 0.03599995 0.04387301 0.0534752 0.03599995 0.0599606 0.003053903 0.03599995 0.03937858 0.003053903 0.02899998 0.03937858 0.001245677 0.03599995 0.03790587 0.001245677 0.02899998 0.03790587 0.05194073 0.03599995 0.06371951 0.05653661 0.03599995 0.0599448 0.0534752 0.02899998 0.0599606 0.0541166 0.03599995 0.06587314 0.05869019 0.03599995 0.057769 0.05653661 0.02899998 0.0599448 0.05869019 0.02899998 0.057769 0.0541324 0.03599995 0.06893455 0.06358063 0.02899998 0.04578858 0.06356489 0.02899998 0.04272723 0.0613889 0.02899998 0.04057353 0.01534092 0.02899998 0.02177673 0.0145995 0.02899998 0.02155488 0.01382923 0.02899998 0.02148008 0.004565596 0.02899998 0.02148008 0.001737177 0.02899998 0.02265167 5.65618e-4 0.02899998 0.02548009 5.65618e-4 0.02899998 0.03567516 -0.005426764 0.03599995 0.04844492 -1.35686e-4 0.03599995 0.04857432 5.65618e-4 0.03599995 0.04705333 5.65618e-4 0.02899998 0.04705333 -0.008173227 0.03599995 0.04900377 5.65618e-4 0.03599995 0.04572463 -0.001747727 0.03599995 0.04902869 -1.35686e-4 0.02899998 0.04857432 -0.005426764 0.02899998 0.04844492 -0.001747727 0.02899998 0.04902869 -0.009877979 0.03599995 0.05122488 -0.008173227 0.02899998 0.04900377 -0.009707689 0.03599995 0.05402255 -0.009877979 0.02899998 0.05122488 -0.006436288 0.03599995 0.06137025 -0.009707689 0.02899998 0.05402255 -0.005565643 0.03599995 0.06261539 -0.006436288 0.02899998 0.06137025 -0.005565643 0.02899998 0.06261539 -0.004293799 0.02899998 0.06344664 0.04400432 0.02899998 0.08316206 0.04706573 0.02899998 0.08314627 0.04921931 0.02899998 0.0809704 0.0541324 0.02899998 0.06893455 0.0541166 0.02899998 0.06587314 0.05194073 0.02899998 0.06371951 0.001450181 0.03599995 0.04406458 0.003321409 0.02899998 0.04387301 0.001450181 0.02899998 0.04406458 5.65618e-4 0.02899998 0.04572463 0.07531148 0.03549993 -0.003167212 0.07282447 0.03549993 -0.003661811 0.07779848 0.03549993 -0.003661811 0.07990741 0.03549993 -0.005070805 0.08231091 0.03599995 -0.009667217 0.08131664 0.03549993 -0.007179558 0.081779 0.03599995 -0.01234483 0.08181148 0.03549993 -0.009667217 0.08025968 0.03599995 -0.01461803 0.08131664 0.03549993 -0.01215481 0.07799053 0.03599995 -0.01613378 0.07990747 0.03549993 -0.01426362 0.07779854 0.03549993 -0.01567262 0.07263249 0.03599995 -0.01613378 0.07531148 0.03549993 -0.01616722 0.07036334 0.03599995 -0.01461809 0.07282453 0.03549993 -0.01567268 0.07071554 0.03549993 -0.01426362 0.06930637 0.03549993 -0.01215481 0.06881147 0.03549993 -0.009667277 0.06930637 0.03549993 -0.007179558 0.07071554 0.03549993 -0.005070805 0.02997016 0.03599995 0.1332673 0.02811366 0.03599995 0.1275395 0.03072082 0.03599995 0.1234877 0.03286278 0.03599995 0.1210402 0.03523612 0.03599995 0.1152262 0.03522038 0.03599995 0.1121648 0.0300377 0.03599995 0.1392925 0.02493846 0.03599995 0.1500555 0.02830672 0.03599995 0.1450642 0.020235 0.04099988 0.1538191 0.02755272 0.04099988 0.1465013 0.03023362 0.04099988 0.1365 0.02752971 0.03599995 0.1241005 0.02463364 0.03599995 0.1226205 0.02755272 0.04099988 0.1264986 0.02463364 0.02899998 0.1226205 0.020235 0.04099988 0.1191809 0.01759719 0.02899998 0.1179053 0.02752739 0.02899998 0.1240999 0.03072279 0.02899998 0.1234863 0.03286278 0.02899998 0.1210402 0.03523612 0.02899998 0.1152262 0.03522038 0.02899998 0.1121648 0.03304439 0.02899998 0.1100112 7.45364e-4 0.02899998 0.09682661 -0.00181365 0.02899998 0.09667003 -0.003944218 0.02899998 0.09810149 -0.004766345 0.03599995 0.1151692 -0.004766345 0.02899998 0.10053 -0.00387001 0.03599995 0.117692 -0.004766345 0.02899998 0.1151692 -0.00684458 0.03599995 0.1260917 -0.00158596 0.03599995 0.1190841 -0.00387001 0.02899998 0.117692 -0.003395617 0.03599995 0.1218637 0.001066923 0.03599995 0.1187244 -0.00158596 0.02899998 0.1190841 2.32305e-4 0.04099988 0.1191809 0.005515098 0.03599995 0.1170645 0.01023364 0.04099988 0.1165 0.001066923 0.02899998 0.1187244 -0.007085323 0.04099988 0.1264986 -0.00976634 0.04099988 0.1365 -0.007085323 0.04099988 0.1465013 2.32305e-4 0.04099988 0.1538191 0.01023364 0.04099988 0.1554999 0.003180325 0.04099988 0.1462083 0.009151101 0.04099988 0.154875 0.02408379 0.04099988 0.1498011 0.01131618 0.04099988 0.154875 0.01131618 0.04099988 0.153625 0.01728683 0.04099988 0.1462083 0.0227847 0.04099988 0.1505511 0.02148574 0.04099988 0.1498011 0.02860862 0.04099988 0.1375825 0.02735865 0.04099988 0.1375825 0.02673357 0.04099988 0.1365 0.02408379 0.04099988 0.1231988 0.02408379 0.04099988 0.1483011 0.02408379 0.04099988 0.1246988 0.02923363 0.04099988 0.1365 0.02860862 0.04099988 0.1354174 0.02735865 0.04099988 0.1354174 0.01023364 0.03599995 0.1165 0.01728683 0.04099988 0.1267915 0.02148574 0.04099988 0.1231988 0.0227847 0.04099988 0.1224488 0.02148574 0.04099988 0.1246988 0.02164626 0.04099988 0.1327916 0.01023364 0.04099988 0.1175 0.01131618 0.04099988 0.118125 0.00924158 0.02899998 0.116525 0.01434773 0.03749996 0.1308366 0.01023364 0.03749996 0.1295 0.01023364 0.03799992 0.129 0.006119489 0.03749996 0.1308366 0.005825281 0.03799992 0.130433 0.016891 0.03749996 0.1343367 0.014642 0.03799992 0.130433 0.01689094 0.03749996 0.1386632 0.01736575 0.03799992 0.1341806 0.01434773 0.03749996 0.1421633 0.01736575 0.03799992 0.1388193 0.01023364 0.03749996 0.1435 0.014642 0.03799992 0.1425669 0.006119489 0.03749996 0.1421633 0.01023364 0.03799992 0.1439999 0.003576219 0.03749996 0.1386632 0.005825281 0.03799992 0.1425669 0.003576219 0.03749996 0.1343367 0.003101468 0.03799992 0.1388193 0.003101468 0.03799992 0.1341806 -0.003616452 0.04099988 0.1498011 -0.002317488 0.04099988 0.1505511 -0.001018345 0.04099988 0.1498011 -0.001018345 0.04099988 0.1483011 -0.00117892 0.04099988 0.1402083 -0.008766293 0.04099988 0.1365 -0.008141338 0.04099988 0.1375825 -0.00689131 0.04099988 0.1375825 -0.008141338 0.04099988 0.1354174 -0.003616452 0.04099988 0.1231988 -0.00689131 0.04099988 0.1354174 -0.006266236 0.04099988 0.1365 -0.003616452 0.04099988 0.1246988 -0.003616452 0.04099988 0.1483011 0.009151101 0.04099988 0.118125 0.009151101 0.04099988 0.119375 0.003180325 0.04099988 0.1267917 -0.002317488 0.04099988 0.1224488 -0.001018345 0.04099988 0.1231988 0.01023364 0.03299999 0.1554999 0.009151101 0.03299999 0.154875 0.01131618 0.03299999 0.154875 0.01023364 0.04099988 0.1485 0.01023364 0.04099988 0.1529999 0.01131618 0.03299999 0.153625 0.009151101 0.04099988 0.153625 0.01023364 0.03299999 0.1529999 0.009151101 0.03299999 0.153625 -0.008766293 0.03299999 0.1365 -0.008141338 0.03299999 0.1354174 -0.008141338 0.03299999 0.1375825 -0.00689131 0.03299999 0.1375825 -0.006266236 0.03299999 0.1365 -0.00689131 0.03299999 0.1354174 0.01023364 0.03299999 0.1175 0.01131618 0.03299999 0.118125 0.009151101 0.03299999 0.118125 0.01023364 0.04099988 0.1245 0.01023364 0.04099988 0.12 0.009151101 0.03299999 0.119375 0.01131618 0.04099988 0.119375 0.01023364 0.03299999 0.12 0.01131618 0.03299999 0.119375 0.02923363 0.03299999 0.1365 0.02860862 0.03299999 0.1375825 0.02860862 0.03299999 0.1354174 0.02735865 0.03299999 0.1354174 0.02673357 0.03299999 0.1365 0.02735865 0.03299999 0.1375825 0.02164632 0.04099988 0.1402083 0.02148574 0.04099988 0.1483011 0.0227847 0.04099988 0.1475511 0.0227847 0.03799992 0.1475511 0.0227847 0.04099988 0.1254488 0.02408379 0.03799992 0.1483024 0.02148574 0.03799992 0.1483024 0.02148574 0.03799992 0.1497998 0.0227847 0.03799992 0.1505511 0.02408379 0.03799992 0.1497998 -0.002317488 0.03799992 0.1224488 -0.001018345 0.03799992 0.1232001 -0.003616452 0.03799992 0.1232001 -0.002317488 0.04099988 0.1475511 -0.002317488 0.04099988 0.1254488 -0.003616452 0.03799992 0.1246975 -0.00117892 0.04099988 0.1327916 -0.001018345 0.04099988 0.1246988 -0.002317488 0.03799992 0.1254488 -0.001018345 0.03799992 0.1246975 0.0227847 0.03799992 0.1224488 0.02408379 0.03799992 0.1232001 0.02148574 0.03799992 0.1232001 0.02148574 0.03799992 0.1246975 0.0227847 0.03799992 0.1254488 0.02408379 0.03799992 0.1246975 -0.002317488 0.03799992 0.1475511 -0.001018345 0.03799992 0.1483024 -0.003616452 0.03799992 0.1483024 -0.003616452 0.03799992 0.1497998 -0.002317488 0.03799992 0.1505511 -0.001018345 0.03799992 0.1497998 0.01023364 0.04049998 0.148 0.003474295 0.04049998 0.1458038 0.01699304 0.04049998 0.1458038 0.02117073 0.04049998 0.1400537 0.02117073 0.04049998 0.1329461 0.01699298 0.04049998 0.1271961 0.01023364 0.04049998 0.125 0.003474235 0.04049998 0.1271961 -7.03478e-4 0.04049998 0.1329461 -7.03465e-4 0.04049998 0.1400538 0.01699465 0.03799992 0.1271978 0.01023364 0.03799992 0.125 0.003472506 0.03799992 0.1271978 0.02117043 0.03799992 0.1400524 0.02117043 0.03799992 0.1329475 0.01699465 0.03799992 0.1458021 0.01023364 0.03799992 0.148 0.003472506 0.03799992 0.1458021 -7.03221e-4 0.03799992 0.1329475 -7.03221e-4 0.03799992 0.1400524 0.01023364 0.03224891 0.15425 -0.007516324 0.03224891 0.1365 0.01023364 0.03224891 0.11875 0.0279836 0.03224891 0.1365 -0.01039606 -0.02799993 0.08229672 0.08734923 -0.02799993 -0.002717256 0.08592033 -0.02799993 -0.001892209 0.08592033 -0.03599995 -0.001892209 0.06470268 -0.02799993 -0.001892209 0.08449137 -0.02799993 -0.002717256 0.08449137 -0.03599995 -0.002717256 0.05148309 -0.02799993 0.009011924 0.02941381 -0.02799993 0.01941382 0.02799993 -0.02799993 0.01999998 -0.001999974 -0.02799993 0.04049998 0.02999997 -0.02799993 0.01799988 0.05001044 -0.02799993 0.01081997 -0.002586007 -0.02799993 0.0419138 0.08919864 -0.02799993 -0.003997385 0.08734923 -0.02799993 -0.004367232 0.08734923 -0.03599995 -0.002717256 0.08987808 -0.02799993 -0.01324546 0.08592033 -0.02799993 -0.00519222 0.08734923 -0.03599995 -0.004367232 0.08025968 -0.02799993 -0.004716277 0.08449137 -0.02799993 -0.004367232 0.08592033 -0.03599995 -0.00519222 0.081779 -0.02799993 -0.006989538 0.07799047 -0.02799993 -0.00320065 0.08449137 -0.03599995 -0.004367232 0.07531148 -0.02799993 -0.002667248 0.07641375 -0.02799993 -0.02462583 0.07531148 -0.02799993 -0.02356719 0.07674044 -0.02799993 -0.02274227 0.07674044 -0.03599995 -0.02274227 0.08499366 -0.02799993 -0.02112287 0.07674044 -0.02799993 -0.02109223 0.07674044 -0.03599995 -0.02109223 0.06741172 -0.02799993 -0.02241802 0.07388257 -0.02799993 -0.02274227 0.07531148 -0.03599995 -0.02356719 0.07388257 -0.02799993 -0.02109223 0.07388257 -0.03599995 -0.02274227 0.06142437 -0.02799993 -0.01533704 0.07531148 -0.02799993 -0.02026718 0.07388257 -0.03599995 -0.02109223 0.07531148 -0.03599995 -0.02026718 0.07531148 -0.02799993 -0.01666718 0.06327372 -0.02799993 -0.002717256 0.06327372 -0.02799993 -0.004367232 0.06327372 -0.03599995 -0.004367232 0.06831204 -0.02799993 -0.009667277 0.06470268 -0.02799993 -0.00519222 0.06470268 -0.03599995 -0.00519222 0.06884402 -0.02799993 -0.01234489 0.06327372 -0.03599995 -0.002717256 0.06613165 -0.02799993 -0.002717256 0.06470268 -0.03599995 -0.001892209 0.07263243 -0.02799993 -0.00320065 0.06613165 -0.02799993 -0.004367232 0.06613165 -0.03599995 -0.002717256 0.07036328 -0.02799993 -0.004716396 0.06613165 -0.03599995 -0.004367232 0.06884402 -0.02799993 -0.006989598 -0.032 -0.02799993 0.02399992 -0.02999997 -0.02799993 0.01799988 -0.02999997 -0.02799993 0.01349991 -0.032 -0.02799993 0.01349991 -0.02941381 -0.02799993 0.01208609 -0.02941381 -0.032 0.01208609 -0.02941381 -0.02799993 0.01941382 -0.02799993 -0.02799993 0.01999998 -0.02941381 -0.032 0.01941382 -0.001999974 -0.02799993 0.02599996 -0.002586007 -0.02799993 0.02458608 -0.003999948 -0.02799993 0.02399992 0.02941381 -0.032 0.01941382 0.04777979 -0.02799993 0.0115 0.02999997 -0.02799993 0.01349991 0.02941381 -0.02799993 0.01208609 0.03746408 -0.02799993 0.0115 0.02799993 -0.02799993 0.0115 0.02941381 -0.032 0.01208609 0.03546398 -0.02799993 0.01096403 -0.02799993 -0.02799993 0.0115 -0.03082841 -0.02799993 0.01067149 0.03872418 -0.02799993 0.143145 0.014642 -0.02799993 0.1425669 0.01023364 -0.02799993 0.1439999 0.01023364 -0.02849996 0.1435 -0.007087469 -0.02799993 0.1464987 0.005825281 -0.02799993 0.1425669 0.006119549 -0.02849996 0.1421633 0.04218822 -0.02799993 0.1371449 0.01736575 -0.02799993 0.1388193 0.01434779 -0.02849996 0.1421633 0.01736575 -0.02799993 0.1341806 0.016891 -0.02849996 0.1386632 0.04218822 -0.02799993 0.1119301 0.014642 -0.02799993 0.130433 0.01689094 -0.02849996 0.1343367 0.01023364 -0.02799993 0.129 0.01434773 -0.02849996 0.1308366 0.005825221 -0.02799993 0.130433 0.01023364 -0.02849996 0.1295 -0.00976634 -0.02799993 0.1365 0.003101468 -0.02799993 0.1341807 0.006119489 -0.02849996 0.1308366 0.003101468 -0.02799993 0.1388193 0.003576219 -0.02849996 0.1343367 0.003576219 -0.02849996 0.1386632 0.07263249 -0.02799993 -0.01613378 0.07531148 -0.02849996 -0.01616722 0.07799053 -0.02799993 -0.01613378 0.07779854 -0.02849996 -0.01567262 0.07036334 -0.02799993 -0.01461809 0.07282453 -0.02849996 -0.01567268 0.07071554 -0.02849996 -0.01426362 0.06930637 -0.02849996 -0.01215481 0.06881147 -0.02849996 -0.009667277 0.06930637 -0.02849996 -0.007179558 0.07071554 -0.02849996 -0.005070805 0.07282447 -0.02849996 -0.003661811 0.07531148 -0.02849996 -0.003167212 0.07779848 -0.02849996 -0.003661811 0.07990741 -0.02849996 -0.005070805 0.08231091 -0.02799993 -0.009667217 0.08131664 -0.02849996 -0.007179558 0.081779 -0.02799993 -0.01234483 0.08181148 -0.02849996 -0.009667217 0.08025968 -0.02799993 -0.01461803 0.08131664 -0.02849996 -0.01215481 0.07990747 -0.02849996 -0.01426362 -0.00976634 -0.02799993 0.08906137 0.04248499 -0.02799993 0.1104181 0.08919864 -0.03599995 -0.003997385 -0.009790599 -0.02799993 0.0865975 -0.009863257 -0.02799993 0.08413922 -0.01001763 -0.02799993 0.08318561 0.08987808 -0.03599995 -0.01324546 0.04226315 -0.02799993 0.1111596 0.04248499 -0.03599995 0.1104181 0.04226315 -0.03599995 0.1111596 0.04218822 -0.03599995 0.1119301 0.03872418 -0.03599995 0.143145 0.04218822 -0.03599995 0.1371449 2.32653e-4 -0.02799993 0.1538199 0.02023363 -0.02799993 0.1538205 0.0102337 -0.02799993 0.1565 0.02023363 -0.03599995 0.1538205 0.01023364 -0.03599995 0.1565 0.020235 -0.04099988 0.1538191 2.31966e-4 -0.03599995 0.1538195 -0.007087588 -0.03599995 0.1464986 -0.00976634 -0.03599995 0.1365 -0.00976634 -0.03599995 0.08906137 -0.009790599 -0.03599995 0.0865975 -0.009863257 -0.03599995 0.08413922 -0.01001763 -0.03599995 0.08318561 -0.003999948 -0.02799993 0.04249989 -0.032 -0.02799993 0.04487758 -0.01039606 -0.03599995 0.08229672 -0.032 -0.02799993 0.04249989 -0.032 -0.03599995 0.04487758 -0.032 -0.03299999 0.04249989 -0.003999948 -0.03299999 0.04249989 -0.002586007 -0.03299999 0.0419138 -0.001999974 -0.03299999 0.04049998 -0.001999974 -0.03299999 0.02599996 -0.002586007 -0.03299999 0.02458608 -0.003999948 -0.03299999 0.02399992 -0.032 -0.03299999 0.02399992 -0.032 -0.03599995 0.01349991 0.03399991 -0.02799993 0.009499967 -0.02799993 -0.02799993 0.009499967 -0.03082841 -0.03599995 0.01067149 -0.02799993 -0.03599995 0.009499967 0.03399991 -0.03599995 0.009499967 0.03546398 -0.03599995 0.01096403 0.03746408 -0.03599995 0.0115 0.04777979 -0.03599995 0.0115 0.05001044 -0.03599995 0.01081997 0.05148309 -0.03599995 0.009011924 0.06142437 -0.03599995 -0.01533704 0.06741172 -0.03599995 -0.02241802 0.07641375 -0.03599995 -0.02462583 0.08499366 -0.03599995 -0.02112287 0.04400432 -0.03599995 0.08316206 0.04466843 -0.03599995 0.089019 0.04249256 -0.03599995 0.08686536 0.04249256 -0.02899998 0.08686536 7.45364e-4 -0.03599995 0.06982409 7.45364e-4 -0.02899998 0.06982409 0.04706573 -0.03599995 0.08314627 0.04468423 -0.03599995 0.09208041 0.04466843 -0.02899998 0.089019 0.03977113 -0.03599995 0.1041163 0.04468423 -0.02899998 0.09208041 0.03761756 -0.03599995 0.1062922 0.03977113 -0.02899998 0.1041163 0.03455615 -0.03599995 0.1063079 0.03761756 -0.02899998 0.1062922 7.45364e-4 -0.03599995 0.09682661 -0.004010379 -0.03599995 0.09056496 0.03455615 -0.02899998 0.1063079 0.03304439 -0.03599995 0.1100112 -0.004572451 -0.03599995 0.08945447 -0.004010379 -0.02899998 0.09056496 -0.00181365 -0.03599995 0.09667003 -0.004766345 -0.03599995 0.088225 -0.004572451 -0.02899998 0.08945447 -0.004766345 -0.03599995 0.07352745 -0.004766345 -0.02899998 0.088225 -0.003944218 -0.03599995 0.07109898 -0.004766345 -0.02899998 0.07352745 -0.00181365 -0.03599995 0.06966745 -0.003944218 -0.02899998 0.07109898 -0.004293799 -0.03599995 0.06344664 -0.00181365 -0.02899998 0.06966745 -0.005565643 -0.03599995 0.06261539 0.01534092 -0.03599995 0.02177673 0.04206138 -0.03599995 0.02737903 0.04406958 -0.03599995 0.02918338 0.04406958 -0.02899998 0.02918338 0.06290066 -0.03599995 0.0368703 0.06290066 -0.02899998 0.0368703 0.04165619 -0.03599995 0.02470982 0.04206138 -0.02899998 0.02737903 0.04304009 -0.03599995 0.02239173 0.04165619 -0.02899998 0.02470982 0.01382923 -0.03599995 0.02148008 0.04558134 -0.03599995 0.02148008 0.04304009 -0.02899998 0.02239173 0.0145995 -0.03599995 0.02155488 -0.02499997 -0.03599995 0.01839995 0.06755018 -0.03599995 0.02148008 0.04558134 -0.02899998 0.02148008 0.06997865 -0.03599995 0.02230221 0.06755018 -0.02899998 0.02148008 -0.01549988 -0.03599995 0.01839995 0.01549988 -0.03599995 0.01839995 0.02687335 -0.03599995 0.01387649 0.02499997 -0.03599995 0.0130999 0.02764993 -0.03599995 0.01574999 0.02687335 -0.03599995 0.01762336 0.02499997 -0.03599995 0.01839995 0.07141017 -0.03599995 0.02443265 0.06997865 -0.02899998 0.02230221 0.07125353 -0.03599995 0.02699178 0.07141017 -0.02899998 0.02443265 0.06811577 -0.03599995 0.03467857 0.07125353 -0.02899998 0.02699178 0.06358063 -0.03599995 0.04578858 0.06596213 -0.03599995 0.0368545 0.06811577 -0.02899998 0.03467857 0.06356489 -0.03599995 0.04272723 0.06596213 -0.02899998 0.0368545 0.0613889 -0.03599995 0.04057353 -0.01737338 -0.03599995 0.01387649 -0.02312654 -0.03599995 0.01387649 -0.02499997 -0.03599995 0.0130999 -0.02499997 -0.032 0.0130999 -0.02687335 -0.03599995 0.01387649 -0.02687335 -0.032 0.01387649 -0.01549988 -0.03599995 0.0130999 -0.01814997 -0.03599995 0.01574999 -0.02234995 -0.03599995 0.01574999 -0.02312654 -0.032 0.01387649 -0.01737338 -0.03599995 0.01762336 -0.02312654 -0.03599995 0.01762336 -0.02234995 -0.032 0.01574999 -0.02312654 -0.032 0.01762336 -0.006999969 -0.03599995 0.03109997 -0.02687335 -0.03599995 0.01762336 -0.02499997 -0.032 0.01839995 5.65618e-4 -0.03599995 0.02548009 0.001737177 -0.03599995 0.02265167 0.004565596 -0.03599995 0.02148008 -0.02764993 -0.03599995 0.01574999 -0.02687335 -0.032 0.01762336 -0.01499992 -0.03599995 0.03109997 -0.02764993 -0.032 0.01574999 0.01362651 -0.03599995 0.01387649 -0.01362651 -0.03599995 0.01387649 -0.01549988 -0.032 0.0130999 -0.01737338 -0.032 0.01387649 0.01549988 -0.03599995 0.0130999 0.01284992 -0.03599995 0.01574999 -0.01284992 -0.03599995 0.01574999 -0.01362651 -0.032 0.01387649 0.01362651 -0.03599995 0.01762336 -0.01362651 -0.03599995 0.01762336 -0.01284992 -0.032 0.01574999 -0.01362651 -0.032 0.01762336 -0.01549988 -0.032 0.01839995 -0.01737338 -0.032 0.01762336 -0.01814997 -0.032 0.01574999 0.02499997 -0.032 0.0130999 0.02312654 -0.03599995 0.01387649 0.02312654 -0.032 0.01387649 0.02687335 -0.032 0.01387649 0.02764993 -0.032 0.01574999 0.02687335 -0.032 0.01762336 0.01737338 -0.03599995 0.01762336 0.02312654 -0.03599995 0.01762336 0.02499997 -0.032 0.01839995 0.01814997 -0.03599995 0.01574999 0.02234995 -0.03599995 0.01574999 0.02312654 -0.032 0.01762336 0.01737338 -0.03599995 0.01387649 0.02234995 -0.032 0.01574999 0.01549988 -0.032 0.0130999 0.01362651 -0.032 0.01387649 0.01737338 -0.032 0.01387649 0.01814997 -0.032 0.01574999 0.01737338 -0.032 0.01762336 0.01549988 -0.032 0.01839995 0.01362651 -0.032 0.01762336 0.01284992 -0.032 0.01574999 0.07531148 -0.03599995 -0.002667248 0.07799047 -0.03599995 -0.00320065 0.08025968 -0.03599995 -0.004716277 0.081779 -0.03599995 -0.006989538 0.07799053 -0.03599995 -0.01613378 0.07531148 -0.03599995 -0.01666718 0.07036328 -0.03599995 -0.004716396 0.06884402 -0.03599995 -0.006989598 0.07263243 -0.03599995 -0.00320065 -0.005924463 -0.03599995 0.0313887 -0.006999969 -0.03299999 0.03109997 -0.008075475 -0.03599995 0.0313887 -0.008075475 -0.03299999 0.0313887 5.65618e-4 -0.03599995 0.03567516 -0.005138695 -0.03599995 0.0321744 -0.005924463 -0.03299999 0.0313887 -0.00484997 -0.03599995 0.03324997 -0.005138695 -0.03299999 0.0321744 -0.005138695 -0.03599995 0.03432548 -0.00484997 -0.03299999 0.03324997 -0.005924463 -0.03599995 0.03511112 -0.005138695 -0.03299999 0.03432548 -0.006999969 -0.03599995 0.03539997 -0.005924463 -0.03299999 0.03511112 -0.01392436 -0.03599995 0.03511112 -0.008075475 -0.03599995 0.03511112 -0.006999969 -0.03299999 0.03539997 -0.01499992 -0.03599995 0.03539997 -0.01313877 -0.03599995 0.03432548 -0.008861184 -0.03599995 0.03432548 -0.008075475 -0.03299999 0.03511112 -0.01284992 -0.03599995 0.03324997 -0.009149968 -0.03599995 0.03324997 -0.008861184 -0.03299999 0.03432548 -0.01313877 -0.03599995 0.0321744 -0.008861184 -0.03599995 0.0321744 -0.009149968 -0.03299999 0.03324997 -0.01392436 -0.03599995 0.0313887 -0.008861184 -0.03299999 0.0321744 -0.01499992 -0.03299999 0.03109997 -0.01607549 -0.03599995 0.0313887 -0.01607549 -0.03299999 0.0313887 -0.01392436 -0.03299999 0.0313887 -0.01313877 -0.03299999 0.0321744 -0.01284992 -0.03299999 0.03324997 -0.01313877 -0.03299999 0.03432548 -0.01392436 -0.03299999 0.03511112 0.003321409 -0.03599995 0.04387301 -0.01607549 -0.03599995 0.03511112 -0.01499992 -0.03299999 0.03539997 0.001245677 -0.03599995 0.03790587 0.003053903 -0.03599995 0.03937858 -0.0168612 -0.03599995 0.03432548 -0.01607549 -0.03299999 0.03511112 0.001450181 -0.03599995 0.04406458 -0.01714998 -0.03599995 0.03324997 -0.0168612 -0.03299999 0.03432548 -0.0168612 -0.03599995 0.0321744 -0.01714998 -0.03299999 0.03324997 -0.0168612 -0.03299999 0.0321744 0.003053903 -0.02899998 0.03937858 0.0534752 -0.03599995 0.0599606 0.0534752 -0.02899998 0.0599606 0.001245677 -0.02899998 0.03790587 5.65618e-4 -0.02899998 0.03567516 5.65618e-4 -0.02899998 0.02548009 0.001737177 -0.02899998 0.02265167 0.004565596 -0.02899998 0.02148008 0.01382923 -0.02899998 0.02148008 0.0145995 -0.02899998 0.02155488 0.01534092 -0.02899998 0.02177673 0.0613889 -0.02899998 0.04057353 0.06356489 -0.02899998 0.04272723 0.05869019 -0.03599995 0.057769 0.06358063 -0.02899998 0.04578858 0.0541324 -0.03599995 0.06893455 0.05653661 -0.03599995 0.0599448 0.05869019 -0.02899998 0.057769 0.0541166 -0.03599995 0.06587314 0.05653661 -0.02899998 0.0599448 0.05194073 -0.03599995 0.06371951 5.65618e-4 -0.03599995 0.04572463 5.65618e-4 -0.03599995 0.04705333 5.65618e-4 -0.02899998 0.04572463 -1.35686e-4 -0.03599995 0.04857432 -0.005426764 -0.03599995 0.04844492 -1.35686e-4 -0.02899998 0.04857432 5.65618e-4 -0.02899998 0.04705333 0.001450181 -0.02899998 0.04406458 0.003321409 -0.02899998 0.04387301 0.05194073 -0.02899998 0.06371951 0.0541166 -0.02899998 0.06587314 0.04921931 -0.03599995 0.0809704 0.0541324 -0.02899998 0.06893455 0.04921931 -0.02899998 0.0809704 0.04706573 -0.02899998 0.08314627 0.04400432 -0.02899998 0.08316206 -0.004293799 -0.02899998 0.06344664 -0.006436288 -0.03599995 0.06137025 -0.005565643 -0.02899998 0.06261539 -0.009707689 -0.03599995 0.05402255 -0.006436288 -0.02899998 0.06137025 -0.009877979 -0.03599995 0.05122488 -0.009707689 -0.02899998 0.05402255 -0.008173227 -0.03599995 0.04900377 -0.009877979 -0.02899998 0.05122488 -0.008173227 -0.02899998 0.04900377 -0.001747727 -0.03599995 0.04902869 -0.001747727 -0.02899998 0.04902869 -0.005426764 -0.02899998 0.04844492 0.07531148 -0.03549993 -0.003167212 0.07779848 -0.03549993 -0.003661811 0.07282447 -0.03549993 -0.003661811 0.07071554 -0.03549993 -0.005070805 0.06831204 -0.03599995 -0.009667277 0.06930637 -0.03549993 -0.007179558 0.06884402 -0.03599995 -0.01234489 0.06881147 -0.03549993 -0.009667277 0.07036334 -0.03599995 -0.01461809 0.06930637 -0.03549993 -0.01215481 0.07263249 -0.03599995 -0.01613378 0.07071554 -0.03549993 -0.01426362 0.07282453 -0.03549993 -0.01567268 0.07531148 -0.03549993 -0.01616722 0.08025968 -0.03599995 -0.01461803 0.07779854 -0.03549993 -0.01567262 0.081779 -0.03599995 -0.01234483 0.07990747 -0.03549993 -0.01426362 0.08231091 -0.03599995 -0.009667217 0.08131664 -0.03549993 -0.01215481 0.08181148 -0.03549993 -0.009667217 0.08131664 -0.03549993 -0.007179558 0.07990741 -0.03549993 -0.005070805 0.03522038 -0.03599995 0.1121648 -0.00902152 -0.03599995 0.1310948 -0.00684458 -0.03599995 0.1260917 -0.004766345 -0.03599995 0.1151692 -0.004766345 -0.03599995 0.10053 -0.003944218 -0.03599995 0.09810149 -0.00976634 -0.04099988 0.1365 -0.007085323 -0.04099988 0.1465013 -0.007085323 -0.04099988 0.1264986 -0.003395617 -0.03599995 0.1218637 -0.00158596 -0.03599995 0.1190841 0.001066923 -0.03599995 0.1187244 2.32305e-4 -0.04099988 0.1191809 -0.00387001 -0.03599995 0.117692 0.001066923 -0.02899998 0.1187244 0.00924158 -0.02899998 0.116525 0.005515098 -0.03599995 0.1170645 -0.00158596 -0.02899998 0.1190841 -0.00387001 -0.02899998 0.117692 -0.004766345 -0.02899998 0.1151692 -0.004766345 -0.02899998 0.10053 -0.003944218 -0.02899998 0.09810149 -0.00181365 -0.02899998 0.09667003 7.45364e-4 -0.02899998 0.09682661 0.03304439 -0.02899998 0.1100112 0.03523612 -0.03599995 0.1152262 0.03522038 -0.02899998 0.1121648 0.03286278 -0.03599995 0.1210402 0.03523612 -0.02899998 0.1152262 0.03072082 -0.03599995 0.1234877 0.03286278 -0.02899998 0.1210402 0.02752971 -0.03599995 0.1241005 0.03072279 -0.02899998 0.1234863 0.02811366 -0.03599995 0.1275395 0.02463364 -0.03599995 0.1226205 0.02752739 -0.02899998 0.1240999 0.02755272 -0.04099988 0.1264986 0.020235 -0.04099988 0.1191809 0.02463364 -0.02899998 0.1226205 0.02997016 -0.03599995 0.1332673 0.0300377 -0.03599995 0.1392925 0.03023362 -0.04099988 0.1365 0.02830672 -0.03599995 0.1450642 0.02493846 -0.03599995 0.1500555 0.02755272 -0.04099988 0.1465013 0.01759719 -0.02899998 0.1179053 0.01023364 -0.03599995 0.1165 0.01023364 -0.04099988 0.1165 0.01023364 -0.04099988 0.1175 0.003180325 -0.04099988 0.1267917 0.009151101 -0.04099988 0.118125 0.02408379 -0.04099988 0.1231988 0.01131618 -0.04099988 0.118125 0.01131618 -0.04099988 0.119375 0.01728683 -0.04099988 0.1267915 0.0227847 -0.04099988 0.1224488 0.02148574 -0.04099988 0.1231988 0.02860862 -0.04099988 0.1354174 0.02735865 -0.04099988 0.1354174 0.02673357 -0.04099988 0.1365 0.02408379 -0.04099988 0.1498011 0.02408379 -0.04099988 0.1483011 0.02408379 -0.04099988 0.1246988 0.02923363 -0.04099988 0.1365 0.02860862 -0.04099988 0.1375825 0.02735865 -0.04099988 0.1375825 0.01023364 -0.04099988 0.1565 0.01728683 -0.04099988 0.1462083 0.0227847 -0.04099988 0.1505511 0.02148574 -0.04099988 0.1498011 0.02148574 -0.04099988 0.1483011 0.02164632 -0.04099988 0.1402083 2.32305e-4 -0.04099988 0.1538191 0.01023364 -0.04099988 0.1554999 0.01131618 -0.04099988 0.154875 0.01434773 -0.03749996 0.1308366 0.01023364 -0.03749996 0.1295 0.014642 -0.03799992 0.130433 0.006119489 -0.03749996 0.1308366 0.01023364 -0.03799992 0.129 0.016891 -0.03749996 0.1343367 0.01689094 -0.03749996 0.1386632 0.01434773 -0.03749996 0.1421633 0.01023364 -0.03749996 0.1435 0.006119489 -0.03749996 0.1421633 0.01023364 -0.03799992 0.1439999 0.005825281 -0.03799992 0.1425669 0.014642 -0.03799992 0.1425669 0.01736575 -0.03799992 0.1388193 0.01736575 -0.03799992 0.1341806 0.003576219 -0.03749996 0.1386632 0.003576219 -0.03749996 0.1343367 0.005825281 -0.03799992 0.130433 0.003101468 -0.03799992 0.1341806 0.003101468 -0.03799992 0.1388193 -0.003616452 -0.04099988 0.1231988 -0.001018345 -0.04099988 0.1231988 -0.002317488 -0.04099988 0.1224488 -0.001018345 -0.04099988 0.1246988 -0.00117892 -0.04099988 0.1327916 -0.008766293 -0.04099988 0.1365 -0.008141338 -0.04099988 0.1354174 -0.00689131 -0.04099988 0.1354174 -0.008141338 -0.04099988 0.1375825 -0.003616452 -0.04099988 0.1498011 -0.00689131 -0.04099988 0.1375825 -0.006266236 -0.04099988 0.1365 -0.003616452 -0.04099988 0.1246988 -0.003616452 -0.04099988 0.1483011 0.009151101 -0.04099988 0.154875 0.009151101 -0.04099988 0.153625 0.003180325 -0.04099988 0.1462083 -0.002317488 -0.04099988 0.1505511 -0.001018345 -0.04099988 0.1498011 0.01023364 -0.03299999 0.1554999 0.01131618 -0.03299999 0.154875 0.009151101 -0.03299999 0.154875 0.01023364 -0.04099988 0.1485 0.01023364 -0.04099988 0.1529999 0.009151101 -0.03299999 0.153625 0.01131618 -0.04099988 0.153625 0.01023364 -0.03299999 0.1529999 0.01131618 -0.03299999 0.153625 -0.008766293 -0.03299999 0.1365 -0.008141338 -0.03299999 0.1375825 -0.008141338 -0.03299999 0.1354174 -0.00689131 -0.03299999 0.1354174 -0.006266236 -0.03299999 0.1365 -0.00689131 -0.03299999 0.1375825 0.01023364 -0.03299999 0.1175 0.009151101 -0.03299999 0.118125 0.01131618 -0.03299999 0.118125 0.01023364 -0.04099988 0.1245 0.01023364 -0.04099988 0.12 0.01131618 -0.03299999 0.119375 0.009151101 -0.04099988 0.119375 0.01023364 -0.03299999 0.12 0.009151101 -0.03299999 0.119375 0.02923363 -0.03299999 0.1365 0.02860862 -0.03299999 0.1354174 0.02860862 -0.03299999 0.1375825 0.02735865 -0.03299999 0.1375825 0.02673357 -0.03299999 0.1365 0.02735865 -0.03299999 0.1354174 0.0227847 -0.04099988 0.1475511 0.0227847 -0.03799992 0.1475511 0.0227847 -0.04099988 0.1254488 0.02148574 -0.03799992 0.1483024 0.02408379 -0.03799992 0.1483024 0.02408379 -0.03799992 0.1497998 0.0227847 -0.03799992 0.1505511 0.02148574 -0.03799992 0.1497998 -0.002317488 -0.03799992 0.1224488 -0.003616452 -0.03799992 0.1232001 -0.001018345 -0.03799992 0.1232001 -0.002317488 -0.04099988 0.1475511 -0.002317488 -0.04099988 0.1254488 -0.001018345 -0.03799992 0.1246975 -0.002317488 -0.03799992 0.1254488 -0.003616452 -0.03799992 0.1246975 0.0227847 -0.03799992 0.1224488 0.02148574 -0.03799992 0.1232001 0.02408379 -0.03799992 0.1232001 0.02408379 -0.03799992 0.1246975 0.02164626 -0.04099988 0.1327916 0.02148574 -0.04099988 0.1246988 0.0227847 -0.03799992 0.1254488 0.02148574 -0.03799992 0.1246975 -0.00117892 -0.04099988 0.1402083 -0.001018345 -0.04099988 0.1483011 -0.002317488 -0.03799992 0.1475511 -0.003616452 -0.03799992 0.1483024 -0.001018345 -0.03799992 0.1483024 -0.001018345 -0.03799992 0.1497998 -0.002317488 -0.03799992 0.1505511 -0.003616452 -0.03799992 0.1497998 0.01023364 -0.04049998 0.148 0.01699304 -0.04049998 0.1458038 0.003474295 -0.04049998 0.1458038 -7.03465e-4 -0.04049998 0.1400538 -7.03478e-4 -0.04049998 0.1329461 0.003474235 -0.04049998 0.1271961 0.01023364 -0.04049998 0.125 0.01699298 -0.04049998 0.1271961 0.02117073 -0.04049998 0.1329461 0.02117073 -0.04049998 0.1400537 0.003472506 -0.03799992 0.1271978 0.01023364 -0.03799992 0.125 0.01699465 -0.03799992 0.1271978 -7.03221e-4 -0.03799992 0.1400524 -7.03221e-4 -0.03799992 0.1329475 0.003472506 -0.03799992 0.1458021 0.01023364 -0.03799992 0.148 0.01699465 -0.03799992 0.1458021 0.02117043 -0.03799992 0.1329475 0.02117043 -0.03799992 0.1400524 0.01023364 -0.03224891 0.15425 -0.007516324 -0.03224891 0.1365 0.01023364 -0.03224891 0.11875 0.0279836 -0.03224891 0.1365 0.08056545 -0.03599995 -0.02583485 0.07638621 -0.03599995 -0.02377927 0.07746148 -0.03599995 -0.02191722 0.07746148 -0.03816998 -0.02191722 0.07638621 -0.03599995 -0.02005523 0.07638651 -0.03816998 -0.02005529 0.07423681 -0.03599995 -0.02377927 0.07638651 -0.03816998 -0.02377921 0.06155842 -0.03599995 -0.01965963 0.07316148 -0.03599995 -0.02191722 0.07423651 -0.03816998 -0.02377921 0.07005751 -0.03599995 -0.02583485 0.07423681 -0.03599995 -0.02005523 0.07316148 -0.03816998 -0.02191722 0.07423651 -0.03816998 -0.02005529 0.08906453 -0.03599995 -0.01965963 0.06155842 -0.03599995 3.25197e-4 0.08699554 -0.03599995 -0.001680493 0.0848453 -0.03599995 -0.001680254 0.0848453 -0.03816998 -0.001680254 0.06577765 -0.03599995 -0.001680254 0.08377039 -0.03599995 -0.003542542 0.08377033 -0.03816998 -0.003542244 0.0923115 -0.03599995 -0.009667217 0.08807021 -0.03599995 -0.003541946 0.0869953 -0.03816998 -0.001680254 0.08906453 -0.03599995 3.25195e-4 0.0869953 -0.03599995 -0.005404174 0.08807033 -0.03816998 -0.003542244 0.08094066 -0.03599995 -0.006417155 0.08484512 -0.03599995 -0.005403876 0.0869953 -0.03816998 -0.005404174 0.07856148 -0.03599995 -0.004038095 0.0848453 -0.03816998 -0.005404174 0.07531148 -0.03599995 -0.003167212 0.05831152 -0.03599995 -0.009667217 0.0625528 -0.03599995 -0.003541946 0.06362766 -0.03599995 -0.005404174 0.06362766 -0.03816998 -0.005404174 0.06968235 -0.03599995 -0.006417155 0.06577789 -0.03599995 -0.005403876 0.06577765 -0.03816998 -0.005404174 0.06881147 -0.03599995 -0.009667217 0.06362748 -0.03599995 -0.001680493 0.06255269 -0.03816998 -0.003542244 0.06362766 -0.03816998 -0.001680254 0.06685256 -0.03599995 -0.003542542 0.06577765 -0.03816998 -0.001680254 0.07206147 -0.03599995 -0.004038095 0.06685268 -0.03816998 -0.003542244 0.08094066 -0.03599995 -0.01291722 0.08181148 -0.03599995 -0.009667217 0.08181148 -0.02799993 -0.009667217 0.08094072 -0.02799993 -0.006417334 0.07856148 -0.03599995 -0.01529633 0.07856154 -0.02799993 -0.01529633 0.08094072 -0.02799993 -0.01291716 0.07531148 -0.03599995 -0.01616722 0.07206147 -0.03599995 -0.01529633 0.07531148 -0.02799993 -0.01616722 0.06968235 -0.03599995 -0.01291722 0.07206147 -0.02799993 -0.01529633 0.0696823 -0.02799993 -0.01291716 0.06881147 -0.02799993 -0.009667217 0.07206147 -0.02799993 -0.004038095 0.0696823 -0.02799993 -0.006417334 0.07531148 -0.02799993 -0.003167212 0.07856154 -0.02799993 -0.004038095 0.05781143 -0.03649991 -0.009667217 0.06115365 -0.03649991 6.18881e-4 0.06115365 -0.03649991 -0.01995337 0.06990367 -0.03649991 -0.02631074 0.08071935 -0.03649991 -0.02631074 0.08946937 -0.03649991 -0.01995337 0.09281152 -0.03649991 -0.009667217 0.07005751 -0.03599995 0.006500363 0.08056545 -0.03599995 0.006500363 0.08946937 -0.03649991 6.18879e-4 0.08071935 -0.03649991 0.006976187 0.06990367 -0.03649991 0.006976187 0.07731175 -0.02749997 -0.01313108 0.07731151 -0.01949989 -0.01313132 0.07931149 -0.01949989 -0.009667217 0.07881152 -0.01899999 -0.009667217 0.07931149 -0.02749997 -0.009667217 0.07731151 -0.01949989 -0.006203174 0.07706159 -0.01899999 -0.006636202 0.0733112 -0.02749997 -0.01313108 0.07331144 -0.01949989 -0.01313132 0.07706159 -0.01899999 -0.01269829 0.07131147 -0.02749997 -0.009667217 0.07131147 -0.01949989 -0.009667217 0.07356142 -0.01899999 -0.01269829 0.0733112 -0.02749997 -0.006203413 0.07181149 -0.01899999 -0.009667217 0.07331144 -0.01949989 -0.006203174 0.06931149 -0.02749997 -0.009667217 0.07231146 -0.02749997 -0.004471123 0.07831156 -0.02749997 -0.01486337 0.07231146 -0.02749997 -0.01486337 0.07731175 -0.02749997 -0.006203413 0.08131152 -0.02749997 -0.009667217 0.07356142 -0.01899999 -0.006636202 0.08906453 -0.04049998 -0.01965963 0.07755178 -0.04049998 -0.01803779 0.07979148 -0.04049998 -0.02191722 0.07755178 -0.04049998 -0.02579671 0.0923115 -0.04049998 -0.009667217 0.07307118 -0.04049998 -0.01803779 0.06155842 -0.04049998 -0.01965963 0.07083147 -0.04049998 -0.02191722 0.07005751 -0.04049998 -0.02583485 0.07307118 -0.04049998 -0.02579671 0.08056545 -0.04049998 -0.02583485 0.06918257 -0.04049998 -0.003541827 0.08144044 -0.04049998 -0.003541827 0.08368033 -0.04049998 3.37521e-4 0.08815985 -0.04049998 3.37624e-4 0.08056545 -0.04049998 0.006500363 0.06694269 -0.04049998 3.37521e-4 0.06694227 -0.04049998 -0.007422149 0.08368074 -0.04049998 -0.007422149 0.05831152 -0.04049998 -0.009667217 0.08816033 -0.04049998 -0.00742197 0.09147959 -0.04049998 -0.004414677 0.09040015 -0.04049998 -0.003542602 0.08906453 -0.04049998 3.25196e-4 0.0624631 -0.04049998 3.37624e-4 0.06246262 -0.04049998 -0.00742197 0.05914336 -0.04049998 -0.004414677 0.0602228 -0.04049998 -0.003542602 0.06155842 -0.04049998 3.25195e-4 0.05781143 -0.03999996 -0.009667217 0.06115365 -0.03999996 -0.01995337 0.07005751 -0.04049998 0.006500363 0.06115365 -0.03999996 6.1888e-4 0.06990367 -0.03999996 0.006976187 0.08071935 -0.03999996 0.006976187 0.08946937 -0.03999996 6.1888e-4 0.09281152 -0.03999996 -0.009667217 0.08946937 -0.03999996 -0.01995337 0.08071935 -0.03999996 -0.02631074 0.06990367 -0.03999996 -0.02631074 0.07831156 -0.02749997 -0.004471123 0.07005751 0.03599995 -0.02583485 0.07423681 0.03599995 -0.02377927 0.07316148 0.03599995 -0.02191722 0.07316148 0.03816998 -0.02191722 0.07423681 0.03599995 -0.02005523 0.07423651 0.03816998 -0.02005529 0.07638621 0.03599995 -0.02377927 0.07423651 0.03816998 -0.02377921 0.08906453 0.03599995 -0.01965963 0.07746148 0.03599995 -0.02191722 0.07638651 0.03816998 -0.02377921 0.08056545 0.03599995 -0.02583485 0.07638621 0.03599995 -0.02005523 0.07746148 0.03816998 -0.02191722 0.07638651 0.03816998 -0.02005529 0.06155842 0.03599995 -0.01965963 0.08906453 0.03599995 3.25197e-4 0.06362748 0.03599995 -0.001680493 0.06577765 0.03599995 -0.001680254 0.06577765 0.03816998 -0.001680254 0.0848453 0.03599995 -0.001680254 0.06685256 0.03599995 -0.003542542 0.06685268 0.03816998 -0.003542244 0.05831152 0.03599995 -0.009667217 0.0625528 0.03599995 -0.003541946 0.06362766 0.03816998 -0.001680254 0.06155842 0.03599995 3.25195e-4 0.06362766 0.03599995 -0.005404174 0.06255269 0.03816998 -0.003542244 0.06968235 0.03599995 -0.006417155 0.06577789 0.03599995 -0.005403876 0.06362766 0.03816998 -0.005404174 0.07206147 0.03599995 -0.004038095 0.06577765 0.03816998 -0.005404174 0.07531148 0.03599995 -0.003167212 0.0923115 0.03599995 -0.009667217 0.08807021 0.03599995 -0.003541946 0.0869953 0.03599995 -0.005404174 0.0869953 0.03816998 -0.005404174 0.08094066 0.03599995 -0.006417155 0.08484512 0.03599995 -0.005403876 0.0848453 0.03816998 -0.005404174 0.08181148 0.03599995 -0.009667217 0.08699554 0.03599995 -0.001680493 0.08807033 0.03816998 -0.003542244 0.0869953 0.03816998 -0.001680254 0.08377039 0.03599995 -0.003542542 0.0848453 0.03816998 -0.001680254 0.07856148 0.03599995 -0.004038095 0.08377033 0.03816998 -0.003542244 0.06968235 0.03599995 -0.01291722 0.06881147 0.03599995 -0.009667217 0.06881147 0.02799993 -0.009667217 0.0696823 0.02799993 -0.006417334 0.07206147 0.03599995 -0.01529633 0.07206147 0.02799993 -0.01529633 0.0696823 0.02799993 -0.01291716 0.07531148 0.03599995 -0.01616722 0.07856148 0.03599995 -0.01529633 0.07531148 0.02799993 -0.01616722 0.08094066 0.03599995 -0.01291722 0.07856154 0.02799993 -0.01529633 0.08094072 0.02799993 -0.01291716 0.08181148 0.02799993 -0.009667217 0.07856154 0.02799993 -0.004038095 0.08094072 0.02799993 -0.006417334 0.07531148 0.02799993 -0.003167212 0.07206147 0.02799993 -0.004038095 0.09281152 0.03649991 -0.009667217 0.08946937 0.03649991 6.18881e-4 0.08946937 0.03649991 -0.01995337 0.08071935 0.03649991 -0.02631074 0.06990367 0.03649991 -0.02631074 0.06115365 0.03649991 -0.01995337 0.05781143 0.03649991 -0.009667217 0.08056545 0.03599995 0.006500363 0.07005751 0.03599995 0.006500363 0.06115365 0.03649991 6.18879e-4 0.06990367 0.03649991 0.006976187 0.08071935 0.03649991 0.006976187 0.0733112 0.02749997 -0.01313108 0.07331144 0.01949989 -0.01313132 0.07131147 0.01949989 -0.009667217 0.07181149 0.01899999 -0.009667217 0.07131147 0.02749997 -0.009667217 0.07331144 0.01949989 -0.006203174 0.07356142 0.01899999 -0.006636202 0.07731175 0.02749997 -0.01313108 0.07731151 0.01949989 -0.01313132 0.07356142 0.01899999 -0.01269829 0.07931149 0.02749997 -0.009667217 0.07931149 0.01949989 -0.009667217 0.07706159 0.01899999 -0.01269829 0.07731175 0.02749997 -0.006203413 0.07881152 0.01899999 -0.009667217 0.07731151 0.01949989 -0.006203174 0.08131152 0.02749997 -0.009667217 0.07831156 0.02749997 -0.004471123 0.07231146 0.02749997 -0.01486337 0.07831156 0.02749997 -0.01486337 0.0733112 0.02749997 -0.006203413 0.06931149 0.02749997 -0.009667217 0.07706159 0.01899999 -0.006636202 0.06155842 0.04049998 -0.01965963 0.07307118 0.04049998 -0.01803779 0.07083147 0.04049998 -0.02191722 0.07307118 0.04049998 -0.02579671 0.05831152 0.04049998 -0.009667217 0.07755178 0.04049998 -0.01803779 0.08906453 0.04049998 -0.01965963 0.07979148 0.04049998 -0.02191722 0.08056545 0.04049998 -0.02583485 0.07755178 0.04049998 -0.02579671 0.07005751 0.04049998 -0.02583485 0.08144044 0.04049998 -0.003541827 0.06918257 0.04049998 -0.003541827 0.06694269 0.04049998 3.37521e-4 0.0624631 0.04049998 3.37624e-4 0.07005751 0.04049998 0.006500363 0.08368033 0.04049998 3.37521e-4 0.08368074 0.04049998 -0.007422149 0.06694227 0.04049998 -0.007422149 0.0923115 0.04049998 -0.009667217 0.06246262 0.04049998 -0.00742197 0.05914336 0.04049998 -0.004414677 0.0602228 0.04049998 -0.003542602 0.06155842 0.04049998 3.25196e-4 0.08815985 0.04049998 3.37624e-4 0.08816033 0.04049998 -0.00742197 0.09147959 0.04049998 -0.004414677 0.09040015 0.04049998 -0.003542602 0.08906453 0.04049998 3.25195e-4 0.09281152 0.03999996 -0.009667217 0.08946937 0.03999996 -0.01995337 0.08056545 0.04049998 0.006500363 0.08946937 0.03999996 6.1888e-4 0.08071935 0.03999996 0.006976187 0.06990367 0.03999996 0.006976187 0.06115365 0.03999996 6.1888e-4 0.05781143 0.03999996 -0.009667217 0.06115365 0.03999996 -0.01995337 0.06990367 0.03999996 -0.02631074 0.08071935 0.03999996 -0.02631074 0.07231146 0.02749997 -0.004471123 0.004930377 -0.03799992 0.1418032 0.007733881 -0.03799992 0.1408302 0.005233645 -0.03799992 0.1365 0.005233645 -0.04099988 0.1365 0.002733588 -0.03799992 0.1365 0.007733881 -0.03799992 0.1321698 0.007733881 -0.04099988 0.1321698 0.01273334 -0.03799992 0.1408302 0.007733881 -0.04099988 0.1408302 0.01773363 -0.03799992 0.1365 0.01523357 -0.03799992 0.1365 0.01273334 -0.04099988 0.1408302 0.0155369 -0.03799992 0.1418032 0.0155369 -0.03799992 0.1311967 0.01273334 -0.03799992 0.1321698 0.01523357 -0.04099988 0.1365 0.01273334 -0.04099988 0.1321698 0.004930377 -0.03799992 0.1311967 0.002733588 -0.04099988 0.1365 0.004930377 -0.04099988 0.1418032 0.004930377 -0.04099988 0.1311967 0.01023364 -0.04099988 0.129 0.0155369 -0.04099988 0.1311967 0.01773363 -0.04099988 0.1365 0.0155369 -0.04099988 0.1418032 0.01023364 -0.04099988 0.1439999 -0.03999996 0.03099989 0.02399992 -0.003999948 -0.03099989 0.02399992 -0.03999996 -0.03099989 0.02399992 -0.03999996 -0.03299999 0.02599996 -0.04199993 0.03099989 0.02599996 -0.0414142 -0.03241413 0.02599996 -0.04199993 -0.03099989 0.02599996 -0.003999948 0.03099989 0.02399992 -0.001999974 -0.03099989 0.02599996 -0.003999948 -0.03299999 0.02599996 -0.002585709 -0.03241413 0.02599996 -0.003999948 0.03299999 0.02599996 -0.001999974 0.03099989 0.02599996 -0.002585709 0.03241413 0.02599996 -0.03999996 0.03299999 0.02599996 -0.0414142 0.03241413 0.02599996 -0.03159993 0.01384997 0.04249989 -0.02021342 0.02018427 0.04249989 -0.02049928 0.02014261 0.04249989 -0.02049928 0.02014261 0.04224991 -0.02088057 0.02014929 0.04249989 -0.02088057 0.02014929 0.04224991 -0.01983213 0.02031767 0.04249989 -0.02021342 0.02018427 0.04224991 -0.01239997 0.01384997 0.04249989 -0.01954615 0.02049928 0.04249989 -0.01983213 0.02031767 0.04224991 -0.003999948 0.03099989 0.04249989 -0.01945084 0.02073103 0.04249989 -0.01954615 0.02049928 0.04224991 -0.01945084 0.021851 0.04249989 -0.01945084 0.02073103 0.04224991 -0.02393078 0.0219292 0.04249989 -0.01945084 0.021851 0.04224991 -0.03268247 0.0132246 0.04249989 -0.02393078 0.02164918 0.04249989 -0.02393078 0.0219292 0.04224991 -0.03999996 0.03099989 0.04249989 -0.02192914 0.02161425 0.04249989 -0.02393078 0.02164918 0.04224991 -0.02192914 0.02077424 0.04249989 -0.02192914 0.02161425 0.04224991 -0.02183377 0.02053928 0.04249989 -0.02192914 0.02077424 0.04224991 -0.02154785 0.02034759 0.04249989 -0.02183377 0.02053928 0.04224991 -0.02116662 0.0202009 0.04249989 -0.02154785 0.02034759 0.04224991 -0.02116662 0.0202009 0.04224991 -0.02649992 -0.001731932 0.04249989 -0.02373194 -0.004599988 0.04249989 -0.02199995 -0.003599882 0.04249989 -0.02199995 -0.003599882 0.02749997 -0.01549988 -0.001731932 0.04249989 -0.0202679 -0.004599988 0.04249989 -0.02026784 -0.004600584 0.02749997 -0.01749998 -0.001731932 0.04249989 -0.03159993 -0.009649991 0.04249989 -0.02373194 -0.006599903 0.04249989 -0.02373212 -0.004600584 0.02749997 -0.03268247 -0.01027536 0.04249989 -0.02199995 -0.00759989 0.04249989 -0.02319103 -0.007206559 0.03485649 -0.02395951 -0.005999982 0.03364998 -0.01239997 -0.009649991 0.04249989 -0.0202679 -0.006599903 0.04249989 -0.02199995 -0.00759989 0.03524988 -0.02004039 -0.005999982 0.03364998 -0.02080792 -0.007205903 0.03485584 -0.02026784 -0.006599366 0.02749997 -0.02004039 -0.005999982 0.0328499 -0.03159993 0.01134991 0.04249989 -0.02373194 0.006599903 0.04249989 -0.02199995 0.00759989 0.04249989 -0.02199995 0.00759989 0.03524988 -0.01239997 0.01134991 0.04249989 -0.0202679 0.006599903 0.04249989 -0.02080774 0.007205784 0.03485566 -0.02849996 0.001731932 0.04249989 -0.02373194 0.004599988 0.04249989 -0.02395951 0.005999982 0.03364998 -0.02319133 0.00720638 0.03485631 -0.02199995 0.003599882 0.04249989 -0.02373212 0.004600584 0.02749997 -0.02373212 0.006599366 0.02749997 -0.02395951 0.005999982 0.0328499 -0.01749998 0.001731932 0.04249989 -0.0202679 0.004599988 0.04249989 -0.02199995 0.003599882 0.02749997 -0.02649992 0.001731932 0.04249989 -0.01131737 0.01197528 0.04249989 -0.02026784 0.004600584 0.02749997 -0.02004039 0.005999982 0.03364998 -0.01849997 0 0.04249989 -0.01849997 0 0.03691786 -0.02549993 0 0.04249989 -0.01799988 0.001322865 0.03755116 -0.01832437 8.19483e-4 0.03712427 -0.01697522 -0.001942694 0.03730934 -0.01834768 -7.65452e-4 0.03709584 -0.01799988 -0.001322865 0.03755116 -0.01449996 0 0.04249989 -0.01485133 -0.00113219 0.03760498 -0.01580053 -0.001873672 0.03734129 -0.01549988 0.001731932 0.04249989 -0.01449996 0 0.03774988 -0.01579958 0.001873314 0.03734147 -0.01485151 0.001132488 0.03760486 -0.01697522 0.001942694 0.03730934 -0.02849996 -0.001731932 0.04249989 -0.02949988 0 0.04249989 -0.02949988 0 0.03774988 -0.02914708 0.001134276 0.03760433 -0.03999996 -0.03099989 0.04249989 -0.02819943 -0.001873672 0.03734153 -0.02914953 -0.001130819 0.03760516 -0.02599996 -0.001322865 0.03755116 -0.02702182 -0.001941919 0.03730928 -0.02549993 0 0.03691786 -0.02568823 -8.4713e-4 0.03713995 -0.02702057 0.001941621 0.0373094 -0.02565366 7.68883e-4 0.03709757 -0.02599996 0.001322865 0.03755116 -0.02819639 0.001874804 0.03734093 -0.03051733 0.0132246 0.04249989 -0.01348257 0.0132246 0.04249989 -0.01239997 0.01384997 0.03749996 -0.01131737 0.0132246 0.04249989 -0.01131743 0.01322489 0.03749996 -0.03051733 0.01197528 0.04249989 -0.01348257 0.01197528 0.04249989 -0.01348251 0.01322489 0.03749996 -0.01348251 0.01197499 0.03749996 -0.01239997 0.01134991 0.03749996 -0.01131743 0.01197499 0.03749996 -0.03159993 0.01384997 0.03749996 -0.03051739 0.01322489 0.03749996 -0.03268247 0.01197528 0.04249989 -0.03268241 0.01322489 0.03749996 -0.03268241 0.01197499 0.03749996 -0.03159993 0.01134991 0.03749996 -0.03051739 0.01197499 0.03749996 -0.03159993 -0.009649991 0.03749996 -0.03051733 -0.01027536 0.04249989 -0.03051739 -0.01027488 0.03749996 -0.03268247 -0.01152449 0.04249989 -0.03268241 -0.01027488 0.03749996 -0.03159993 -0.01214993 0.04249989 -0.03268241 -0.01152491 0.03749996 -0.01348257 -0.01152449 0.04249989 -0.03051733 -0.01152449 0.04249989 -0.03159993 -0.01214993 0.03749996 -0.01239997 -0.01214993 0.04249989 -0.01348257 -0.01027536 0.04249989 -0.03051739 -0.01152491 0.03749996 -0.01239997 -0.009649991 0.03649991 -0.01131737 -0.01027536 0.04249989 -0.01131743 -0.01027488 0.03649991 -0.01348251 -0.01027488 0.03649991 -0.01348251 -0.01152491 0.03649991 -0.01131737 -0.01152449 0.04249989 -0.01239997 -0.01214993 0.03649991 -0.01131743 -0.01152491 0.03649991 -0.003999948 -0.03099989 0.04249989 -0.01992744 0.02157932 0.04249989 -0.02135717 0.02160423 0.04249989 -0.02135717 0.02071762 0.04249989 -0.02135717 0.02071762 0.04224991 -0.01992744 0.02069264 0.04249989 -0.02126193 0.02057594 0.04249989 -0.02135717 0.02160423 0.04224991 -0.01992744 0.02157932 0.04224991 -0.02002269 0.0205543 0.04249989 -0.02002269 0.0205543 0.04224991 -0.01992744 0.02069264 0.04224991 -0.02107125 0.02047926 0.04249989 -0.02021342 0.0204643 0.04249989 -0.02021342 0.0204643 0.04224991 -0.02078533 0.02042764 0.04249989 -0.02049928 0.02042257 0.04249989 -0.02049928 0.02042257 0.04224991 -0.02078533 0.02042764 0.04224991 -0.02126193 0.02057594 0.04224991 -0.02107125 0.02047926 0.04224991 -0.001999974 0.03099989 0.04049998 -0.03999996 0.03299999 0.04049998 -0.002585709 0.03241413 0.04049998 -0.003999948 0.03299999 0.04049998 -0.003999948 -0.03299999 0.04049998 -0.002585709 -0.03241413 0.04049998 -0.001999974 -0.03099989 0.04049998 -0.04199993 -0.03099989 0.04049998 -0.03999996 -0.03299999 0.04049998 -0.0414142 -0.03241413 0.04049998 -0.0414142 0.03241413 0.04049998 -0.04199993 0.03099989 0.04049998 -0.006174981 -0.03299999 0.03467887 -0.005349934 -0.03299999 0.03324997 -0.005349934 -0.02699995 0.03324997 -0.006174981 -0.03299999 0.03182101 -0.006174981 -0.02699995 0.03182101 -0.007824957 -0.03299999 0.03467887 -0.006174981 -0.02699995 0.03467887 -0.01417493 -0.03299999 0.03467887 -0.008649945 -0.03299999 0.03324997 -0.007824957 -0.02699995 0.03467887 -0.01334995 -0.03299999 0.03324997 -0.007824957 -0.03299999 0.03182101 -0.008649945 -0.02699995 0.03324997 -0.007824957 -0.02699995 0.03182101 -0.01334995 -0.02699995 0.03324997 -0.01417493 -0.03299999 0.03182101 -0.01417493 -0.02699995 0.03182101 -0.01582497 -0.03299999 0.03467887 -0.01417493 -0.02699995 0.03467887 -0.0209499 -0.03299999 0.03506863 -0.01664996 -0.03299999 0.03324997 -0.01582497 -0.02699995 0.03467887 -0.01989996 -0.03299999 0.03324997 -0.01582497 -0.03299999 0.03182101 -0.01664996 -0.02699995 0.03324997 -0.01582497 -0.02699995 0.03182101 -0.02304995 -0.03299999 0.03143125 -0.0241 -0.03299999 0.03324997 -0.0241 -0.02499997 0.03324997 -0.02304995 -0.03299999 0.03506863 -0.02304995 -0.02499997 0.03506863 -0.0209499 -0.03299999 0.03143125 -0.02304995 -0.02499997 0.03143125 -0.0209499 -0.02499997 0.03143125 -0.01989996 -0.02499997 0.03324997 -0.0209499 -0.02499997 0.03506863 -0.001999974 0.004499912 0.03324997 -0.001999974 0.01674991 0.02935284 -0.001999974 0.01449996 0.03324997 -0.01999998 0.01449996 0.03324997 -0.001999974 0.002249956 0.0371471 -0.001999974 0.01674991 0.0371471 -0.02799993 0.01674991 0.0371471 -0.02058643 0.01472812 0.0346648 -0.02199995 0.01496887 0.03524988 -0.001999974 0.02124989 0.02935284 -0.02799993 0.01674991 0.02935284 -0.001999974 0.002249956 0.02935284 -0.02199995 0.01496887 0.03125 -0.02058601 0.014728 0.03183543 -0.001999974 0.02349996 0.03324997 -0.02799993 0.02124989 0.02935284 -0.001999974 0.02124989 0.0371471 -0.01999998 0.02349996 0.03324997 -0.02199995 0.02303111 0.03125 -0.02058631 0.02327173 0.03183513 -0.02799993 0.02124989 0.0371471 -0.0205866 0.02327162 0.03466504 -0.02199995 0.02303111 0.03524988 -0.001999974 -0.01449996 0.03324997 -0.001999974 -0.002249956 0.02935284 -0.001999974 -0.004499912 0.03324997 -0.01799988 -0.004499912 0.03324997 -0.001999974 -0.01674991 0.0371471 -0.001999974 -0.002249956 0.0371471 -0.01799988 -0.003619492 0.0359236 -0.01799988 -0.002249956 0.02935284 -0.001999974 -0.01674991 0.02935284 -0.01799988 0.002249956 0.02935284 -0.01799988 0.004499912 0.03324997 -0.01799988 0.003619492 0.0359236 -0.01999998 -0.01449996 0.03324997 -0.02799993 -0.01674991 0.02935284 -0.02058988 -0.01472938 0.03183162 -0.02199995 -0.01496887 0.03125 -0.001999974 -0.02124989 0.0371471 -0.02799993 -0.01674991 0.0371471 -0.02059203 -0.01473003 0.03467041 -0.02199995 -0.01496887 0.03524988 -0.001999974 -0.02349996 0.03324997 -0.02799993 -0.02124989 0.0371471 -0.001999974 -0.02124989 0.02935284 -0.01999998 -0.02349996 0.03324997 -0.02058988 -0.02327048 0.03466832 -0.02199995 -0.02303111 0.03524988 -0.02799993 -0.02124989 0.02935284 -0.02059197 -0.02326989 0.03182959 -0.02199995 -0.02303111 0.03125 -0.006174981 0.03299999 0.03182101 -0.005349934 0.03299999 0.03324997 -0.005349934 0.02699995 0.03324997 -0.006174981 0.03299999 0.03467887 -0.006174981 0.02699995 0.03467887 -0.007824957 0.03299999 0.03182101 -0.006174981 0.02699995 0.03182101 -0.01417493 0.03299999 0.03182101 -0.008649945 0.03299999 0.03324997 -0.007824957 0.02699995 0.03182101 -0.01334995 0.03299999 0.03324997 -0.007824957 0.03299999 0.03467887 -0.008649945 0.02699995 0.03324997 -0.007824957 0.02699995 0.03467887 -0.01334995 0.02699995 0.03324997 -0.01417493 0.03299999 0.03467887 -0.01417493 0.02699995 0.03467887 -0.01582497 0.03299999 0.03182101 -0.01417493 0.02699995 0.03182101 -0.0209499 0.03299999 0.03143125 -0.01664996 0.03299999 0.03324997 -0.01582497 0.02699995 0.03182101 -0.01989996 0.03299999 0.03324997 -0.01582497 0.03299999 0.03467887 -0.01664996 0.02699995 0.03324997 -0.01582497 0.02699995 0.03467887 -0.02304995 0.03299999 0.03506863 -0.0241 0.03299999 0.03324997 -0.0241 0.02499997 0.03324997 -0.02304995 0.03299999 0.03143125 -0.02304995 0.02499997 0.03143125 -0.0209499 0.03299999 0.03506863 -0.02304995 0.02499997 0.03506863 -0.0209499 0.02499997 0.03506863 -0.01989996 0.02499997 0.03324997 -0.0209499 0.02499997 0.03143125 -0.04199993 -0.01634997 0.03324997 -0.04199993 -0.002249956 0.0371471 -0.04199993 -0.004499912 0.03324997 -0.02599996 -0.004499912 0.03324997 -0.04199993 -0.002249956 0.02935284 -0.02599996 -0.002249956 0.02935284 -0.04199993 -0.01717489 0.03182101 -0.04199993 0.002249956 0.0371471 -0.04199993 -0.01882499 0.03467887 -0.04199993 -0.01717489 0.03467887 -0.02599996 -0.003619492 0.0359236 -0.04199993 0.004499912 0.03324997 -0.02599996 0.003619492 0.0359236 -0.04199993 0.01634997 0.03324997 -0.04199993 0.002249956 0.02935284 -0.02599996 0.004499912 0.03324997 -0.04199993 0.01717489 0.03467887 -0.02599996 0.002249956 0.02935284 -0.04199993 0.01717489 0.03182101 -0.04199993 0.01882499 0.03182101 -0.04199993 0.01964998 0.03324997 -0.03399991 0.01964998 0.03324997 -0.04199993 0.01882499 0.03467887 -0.03399991 0.01882499 0.03467887 -0.03399991 0.01882499 0.03182101 -0.03399991 0.01717489 0.03182101 -0.03399991 0.01634997 0.03324997 -0.03399991 0.01717489 0.03467887 -0.04199993 -0.01964998 0.03324997 -0.04199993 -0.01882499 0.03182101 -0.03399991 -0.01964998 0.03324997 -0.03399991 -0.01882499 0.03182101 -0.03399991 -0.01882499 0.03467887 -0.03399991 -0.01717489 0.03467887 -0.03399991 -0.01634997 0.03324997 -0.03399991 -0.01717489 0.03182101 -0.02373212 -0.006599366 0.02749997 -0.02199995 -0.00759989 0.02749997 -0.02080875 -0.007206499 0.03164345 -0.02199995 -0.00759989 0.03125 -0.02395951 -0.005999982 0.0328499 -0.02319204 -0.007205784 0.03164416 -0.02026784 0.006599366 0.02749997 -0.02199995 0.00759989 0.02749997 -0.02199995 0.00759989 0.03125 -0.02319204 0.007205784 0.03164422 -0.02004039 0.005999982 0.0328499 -0.02080881 0.007206559 0.03164345 -0.02399992 -0.005999982 0.03324997 -0.02340996 -0.01472938 0.03183156 -0.02340799 -0.01472997 0.03467035 -0.02399992 -0.01449996 0.03324997 -0.01999998 -0.005999982 0.03324997 -0.02399992 0.005999982 0.03324997 -0.02341395 0.014728 0.03466445 -0.02341347 0.01472812 0.03183507 -0.02399992 0.01449996 0.03324997 -0.01999998 0.005999982 0.03324997 -0.02070385 0 0.03324997 -0.02329605 0 0.03324997 -0.02799993 0.02349996 0.03324997 -0.03070384 0.01899999 0.03324997 -0.02799993 0.01449996 0.03324997 -0.02399992 0.02349996 0.03324997 -0.02341353 0.02327173 0.03466475 -0.02341324 0.02327162 0.03183478 -0.02399992 0.02493989 0.03324997 -0.02341419 0.02493989 0.03466421 -0.02341419 0.02493989 0.03183573 -0.02199995 0.02493989 0.03125 -0.02058577 0.02493989 0.03183573 -0.01999998 0.02493989 0.03324997 -0.02199995 0.02493989 0.03524988 -0.02058577 0.02493989 0.03466421 -0.02799993 -0.01449996 0.03324997 -0.02058577 -0.02493989 0.03183573 -0.01999998 -0.02493989 0.03324997 -0.02058577 -0.02493989 0.03466421 -0.02199995 -0.02493989 0.03125 -0.02340793 -0.02326989 0.03182947 -0.02341419 -0.02493989 0.03183573 -0.02799993 -0.02349996 0.03324997 -0.02199995 -0.02493989 0.03524988 -0.02341419 -0.02493989 0.03466421 -0.02341002 -0.02327048 0.03466826 -0.02399992 -0.02349996 0.03324997 -0.02399992 -0.02493989 0.03324997 -0.03070384 -0.01899999 0.03324997 -0.01239997 0.0126 0.03674882 -0.03159993 0.0126 0.03674882 -0.03159993 -0.01089996 0.03674882 -0.01239997 -0.01089996 0.03574883 -0.006999969 0.02600854 0.03324997 -0.01499992 0.02600854 0.03324997 -0.006999969 -0.02600854 0.03324997 -0.01499992 -0.02600854 0.03324997 -0.03300857 0.01799988 0.03324997 -0.03300857 -0.01799988 0.03324997 -0.001999974 -0.01199996 0.07037866 -0.001999974 -0.00999999 0.04275 -0.001999974 0.0205 0.04275 -0.003499925 0.0205 0.04275 -0.001999974 0.02191418 0.04333567 -0.003499925 0.02191418 0.04333567 -0.001999974 -0.01141417 0.04333567 -0.003499925 -0.00999999 0.04275 -0.001999974 -0.01199996 0.04474997 -0.003499925 -0.01141417 0.04333567 -0.003499925 -0.01199996 0.04474997 -0.001999974 0.02249991 0.04474997 -0.001999974 0.02249991 0.07037866 -0.002228558 0.02249991 0.07152658 -0.002228558 -0.01199996 0.07152658 -0.003499925 -0.01199996 0.07037866 -0.003499925 0.02249991 0.07037866 -0.003499925 0.02249991 0.04474997 -0.01124989 -0.01199996 0.08087128 -0.002878606 -0.01199996 0.07249999 -0.002878606 0.02249991 0.07249999 -0.01124989 0.02249991 0.08087128 -0.01231062 0.02249991 0.07981061 -0.00393933 0.02249991 0.07143932 -0.00393933 -0.01199996 0.07143932 -0.003614306 -0.01199996 0.07095259 -0.01222336 0.02249991 0.08152133 -0.01222336 -0.01199996 0.08152133 -0.01231062 -0.01199996 0.07981061 -0.01337122 0.02249991 0.08174997 -0.01624995 -0.00999999 0.08174997 -0.01624995 -0.01199996 0.08174997 -0.01624995 -0.01199996 0.08024996 -0.01337122 -0.01199996 0.08174997 -0.01337122 -0.01199996 0.08024996 -0.01824992 -0.00999999 0.08174997 -0.01624995 -0.00999999 0.08024996 -0.02724999 -0.02149999 0.08174997 -0.01824992 -0.02149999 0.08174997 -0.01824992 -0.00999999 0.08024996 -0.02724999 -0.01599997 0.08174997 -0.02924996 -0.01599997 0.08174997 -0.01624995 0.01599997 0.08174997 -0.01424998 0.01799988 0.08174997 -0.02724999 -0.02362132 0.08087128 -0.01824992 -0.02362132 0.08087128 -0.01824992 -0.02149999 0.08024996 -0.02724999 -0.02149999 0.08024996 -0.02724999 -0.01599997 0.08024996 -0.03125 -0.01799988 0.08174997 -0.02924996 -0.01799988 0.08174997 -0.02924996 -0.01599997 0.08024996 -0.02924996 -0.01799988 0.08024996 -0.03212863 -0.02249991 0.08174997 -0.03125 -0.02249991 0.08174997 -0.03125 -0.01799988 0.08024996 -0.02724999 0.01599997 0.08174997 -0.01824992 0.01599997 0.08174997 -0.03212863 -0.02249991 0.08024996 -0.03125 -0.02249991 0.08024996 -0.03125 0.02249991 0.08174997 -0.03212863 0.02249991 0.08174997 -0.03327649 0.02249991 0.08152133 -0.03125 0.01799988 0.08174997 -0.02924996 0.01799988 0.08174997 -0.02924996 0.01599997 0.08174997 -0.03327649 -0.02249991 0.08152133 -0.03125 0.02249991 0.08024996 -0.03212863 0.02249991 0.08024996 -0.03125 0.01799988 0.08024996 -0.02924996 0.01799988 0.08024996 -0.02924996 0.01599997 0.08024996 -0.01824992 0.02149999 0.08174997 -0.02724999 0.02149999 0.08174997 -0.02724999 0.01599997 0.08024996 -0.01824992 0.02362132 0.08087128 -0.02724999 0.02362132 0.08087128 -0.02724999 0.02149999 0.08024996 -0.01824992 0.02149999 0.08024996 -0.01824992 0.01599997 0.08024996 -0.01624995 0.01799988 0.08174997 -0.01624995 0.01599997 0.08024996 -0.01624995 0.01799988 0.08024996 -0.01424998 0.02249991 0.08174997 -0.01424998 0.01799988 0.08024996 -0.01337122 0.02249991 0.08024996 -0.01424998 0.02249991 0.08024996 -0.01279729 -0.01199996 0.08013564 -0.04262131 -0.02249991 0.07249999 -0.03424996 -0.02249991 0.08087128 -0.03424996 0.02249991 0.08087128 -0.04262131 0.02249991 0.07249999 -0.04156059 0.02249991 0.07143932 -0.03318923 0.02249991 0.07981061 -0.03318923 -0.02249991 0.07981061 -0.03270262 -0.02249991 0.08013564 -0.0432713 0.02249991 0.07152658 -0.0432713 -0.02249991 0.07152658 -0.04156059 -0.02249991 0.07143932 -0.04349988 0.02191418 0.02833575 -0.04349988 0.02249991 0.07037866 -0.04349988 0.02249991 0.02974992 -0.04199993 0.02249991 0.02974992 -0.04199993 0.02191418 0.02833575 -0.04349988 -0.01907497 0.0351119 -0.04349988 -0.02249991 0.07037866 -0.04349988 -0.007999956 0.04275 -0.04349988 -0.009414196 0.04216414 -0.04349988 0.007999956 0.04275 -0.04349988 0.009414196 0.04216414 -0.04349988 0.00999999 0.0407499 -0.04349988 0.00999999 0.02974992 -0.04349988 0.01058578 0.02833575 -0.04349988 0.01199996 0.02774995 -0.04349988 0.01584988 0.03324997 -0.04349988 0.0205 0.02774995 -0.04349988 0.02015 0.03324997 -0.04349988 0.01692491 0.0351119 -0.04349988 0.01907497 0.0351119 -0.04199993 0.02249991 0.07037866 -0.04349988 -0.02249991 0.02974992 -0.04199993 -0.02249991 0.07037866 -0.04188561 -0.02249991 0.07095259 -0.04349988 -0.02015 0.03324997 -0.04349988 -0.02191418 0.02833575 -0.04199993 -0.02249991 0.02974992 -0.04349988 -0.0205 0.02774995 -0.04199993 -0.02191418 0.02833575 -0.04349988 -0.01692491 0.03138804 -0.04349988 -0.01199996 0.02774995 -0.04199993 -0.0205 0.02774995 -0.04349988 -0.01907497 0.03138804 -0.04349988 -0.00999999 0.0407499 -0.04349988 -0.01058578 0.02833575 -0.04199993 -0.01199996 0.02774995 -0.04349988 -0.01584988 0.03324997 -0.04349988 -0.00999999 0.02974992 -0.04199993 -0.01058578 0.02833575 -0.04199993 -0.00999999 0.02974992 -0.04199993 -0.00999999 0.0407499 -0.04199993 -0.009414196 0.04216414 -0.04349988 -0.01692491 0.0351119 -0.04199993 -0.007999956 0.04275 -0.04199993 0.007999956 0.04275 -0.04199993 0.009414196 0.04216414 -0.04199993 0.00999999 0.0407499 -0.04199993 0.00999999 0.02974992 -0.04199993 0.01058578 0.02833575 -0.04349988 0.01907497 0.03138804 -0.04199993 0.01199996 0.02774995 -0.04349988 0.01692491 0.03138804 -0.04199993 0.0205 0.02774995 -0.04199993 0.01584988 0.03324997 -0.04199993 0.01692491 0.03138804 -0.04199993 0.01692491 0.0351119 -0.04199993 0.01907497 0.0351119 -0.04199993 0.02015 0.03324997 -0.04199993 0.01907497 0.03138804 -0.04199993 -0.01584988 0.03324997 -0.04199993 -0.01692491 0.0351119 -0.04199993 -0.01692491 0.03138804 -0.04199993 -0.01907497 0.03138804 -0.04199993 -0.02015 0.03324997 -0.04199993 -0.01907497 0.0351119 -0.04291421 -0.02449995 0.04333567 -0.04349988 -0.02449995 0.07162129 -0.04349988 -0.02449995 0.04474997 -0.04349988 -0.023 0.04474997 -0.04291421 -0.023 0.04333567 -0.04149997 -0.02449995 0.04275 -0.03937131 -0.02449995 0.07574999 -0.04349988 -0.023 0.07162129 -0.003999948 -0.02449995 0.04275 -0.02924996 -0.02449995 0.07574999 -0.03937131 -0.023 0.07574999 -0.02783578 -0.02449995 0.07633578 -0.02924996 -0.023 0.07574999 -0.02724999 -0.02449995 0.07774996 -0.02783578 -0.023 0.07633578 -0.02724999 -0.02449995 0.07874995 -0.02724999 -0.023 0.07874995 -0.02724999 -0.023 0.07774996 -0.01824992 -0.02449995 0.07774996 -0.01824992 -0.02449995 0.07874995 -0.01824992 -0.023 0.07774996 -0.01824992 -0.02256023 0.07981026 -0.01824992 -0.023 0.07874995 -0.01766419 -0.02449995 0.07633578 -0.01624995 -0.02449995 0.07574999 -0.01766419 -0.023 0.07633578 -0.006128609 -0.02449995 0.07574999 -0.01624995 -0.023 0.07574999 -0.001999974 -0.02449995 0.04474997 -0.001999974 -0.02449995 0.07162129 -0.006128609 -0.023 0.07574999 -0.002585709 -0.02449995 0.04333567 -0.001999974 -0.023 0.07162129 -0.001999974 -0.023 0.04474997 -0.002585709 -0.023 0.04333567 -0.003999948 -0.023 0.04275 -0.04149997 -0.023 0.04275 -0.002585709 0.02449995 0.04333567 -0.001999974 0.02449995 0.07162129 -0.001999974 0.02449995 0.04474997 -0.001999974 0.023 0.04474997 -0.002585709 0.023 0.04333567 -0.003999948 0.02449995 0.04275 -0.006128609 0.02449995 0.07574999 -0.001999974 0.023 0.07162129 -0.04149997 0.02449995 0.04275 -0.01624995 0.02449995 0.07574999 -0.006128609 0.023 0.07574999 -0.01766419 0.02449995 0.07633578 -0.01624995 0.023 0.07574999 -0.01824992 0.02449995 0.07774996 -0.01766419 0.023 0.07633578 -0.01824992 0.02449995 0.07874995 -0.01824992 0.023 0.07874995 -0.01824992 0.023 0.07774996 -0.02724999 0.02449995 0.07774996 -0.02724999 0.02449995 0.07874995 -0.02724999 0.023 0.07774996 -0.02724999 0.02256023 0.07981026 -0.02724999 0.023 0.07874995 -0.02783578 0.02449995 0.07633578 -0.02924996 0.02449995 0.07574999 -0.02783578 0.023 0.07633578 -0.03937131 0.02449995 0.07574999 -0.02924996 0.023 0.07574999 -0.04349988 0.02449995 0.04474997 -0.04349988 0.02449995 0.07162129 -0.03937131 0.023 0.07574999 -0.04291421 0.02449995 0.04333567 -0.04349988 0.023 0.07162129 -0.04349988 0.023 0.04474997 -0.04291421 0.023 0.04333567 -0.04149997 0.023 0.04275 -0.003999948 0.023 0.04275 -0.04188561 0.02249991 0.07095259 -0.02724999 -0.02256023 0.07981026 -0.01824992 0.02256023 0.07981026 -0.003614306 0.02249991 0.07095259 -0.01279729 0.02249991 0.08013564 -0.03270262 0.02249991 0.08013564 0.01626574 0.04099988 0.1530733 0.01136463 0.04099988 0.1531184 0.01023364 0.04099988 0.1526499 0.01023364 0.05599999 0.1526499 0.009102582 0.04099988 0.1531184 0.009102582 0.05599999 0.1531184 0.004596531 0.04099988 0.1512066 0.01533257 0.04099988 0.1519953 0.01635181 0.04099988 0.1533097 0.01183342 0.04099988 0.15425 0.01136463 0.05599999 0.1531184 0.01623511 0.04099988 0.1549385 0.01136463 0.04099988 0.1553816 0.01183342 0.05599999 0.15425 0.01494348 0.04099988 0.1559374 0.01023364 0.04099988 0.1558499 0.01136463 0.05599999 0.1553816 2.33108e-4 0.04099988 0.15382 0.009102582 0.04099988 0.1553816 0.01023364 0.05599999 0.1558499 0.01260739 0.04099988 0.1563585 0.008633732 0.04099988 0.15425 0.009102582 0.05599999 0.1553816 0.008633732 0.05599999 0.15425 2.33108e-4 0.04099988 0.11918 0.009102582 0.04099988 0.1198815 0.01023364 0.04099988 0.12035 0.01023364 0.05599999 0.12035 0.01626574 0.04099988 0.1199266 0.01136463 0.04099988 0.1198815 0.01136463 0.05599999 0.1198815 0.01533257 0.04099988 0.1210047 0.008633732 0.04099988 0.11875 0.009102582 0.05599999 0.1198815 0.009102582 0.04099988 0.1176184 0.008633732 0.05599999 0.11875 0.01023364 0.04099988 0.11715 0.009102582 0.05599999 0.1176184 0.01623511 0.04099988 0.1180615 0.01136463 0.04099988 0.1176184 0.01023364 0.05599999 0.11715 0.01494348 0.04099988 0.1170625 0.01183342 0.04099988 0.11875 0.01136463 0.05599999 0.1176184 0.01635181 0.04099988 0.1196902 0.01183342 0.05599999 0.11875 -0.005516171 0.04099988 0.1365002 -0.00638473 0.04099988 0.1376311 -0.005916297 0.04099988 0.1365 -0.005916297 0.05599999 0.1365 -0.00638473 0.04099988 0.1353689 -0.00638473 0.05599999 0.1353689 -0.00274384 0.04099988 0.1454243 -0.007516324 0.04099988 0.1380999 -0.00638473 0.05599999 0.1376311 -0.008647859 0.04099988 0.1376311 -0.007516324 0.05599999 0.1380999 -0.009116291 0.04099988 0.1365 -0.008647859 0.05599999 0.1376311 -0.007086336 0.04099988 0.1264994 -0.008647859 0.04099988 0.1353689 -0.009116291 0.05599999 0.1365 -0.007516324 0.04099988 0.1349 -0.008647859 0.05599999 0.1353689 -0.002744257 0.04099988 0.1275763 -0.007516324 0.05599999 0.1349 -0.003378093 0.04099988 0.1250095 -0.002317488 0.04799991 0.1254488 -0.001256763 0.04099988 0.1250095 -0.001256525 0.04799991 0.125009 -0.003817439 0.04099988 0.1239488 -0.003378391 0.04799991 0.125009 -0.003378093 0.04099988 0.1228882 -0.003817141 0.04799991 0.1239488 -0.003378391 0.04799991 0.1228886 0.004595637 0.04099988 0.1217937 -0.001256763 0.04099988 0.1228882 -0.002317488 0.04799991 0.1224488 -8.1749e-4 0.04099988 0.1239488 -0.001256525 0.04799991 0.1228886 -8.17723e-4 0.04799991 0.1239488 -0.003378093 0.04099988 0.1501117 -0.002317488 0.04799991 0.1505511 -0.001256763 0.04099988 0.1501117 -0.001256525 0.04799991 0.1501113 -0.007086336 0.04099988 0.1465005 -0.003817439 0.04099988 0.1490511 -0.003378391 0.04799991 0.1501113 -0.003378093 0.04099988 0.1479905 -0.003817141 0.04799991 0.1490511 -0.003378391 0.04799991 0.147991 -0.001256763 0.04099988 0.1479905 -0.002317488 0.04799991 0.1475511 -8.1749e-4 0.04099988 0.1490511 -0.001256525 0.04799991 0.147991 -8.17723e-4 0.04799991 0.1490511 0.01260739 0.04099988 0.1166414 0.01494348 0.04929995 0.1170625 0.01623511 0.04929995 0.1180615 0.01023364 0.05599999 0.1165 2.33108e-4 0.05599999 0.11918 0.01391845 0.04099988 0.1211871 -0.007086336 0.05599999 0.1264994 -0.00976634 0.05599999 0.1365 -0.007086336 0.05599999 0.1465005 2.33108e-4 0.05599999 0.15382 0.01023364 0.05599999 0.1565 0.01494348 0.04929995 0.1559374 0.01623511 0.04929995 0.1549385 0.01626574 0.04929995 0.1530733 0.01635181 0.04929995 0.1533097 0.01391845 0.04099988 0.1518129 0.01533257 0.04929995 0.1519953 0.01391845 0.04929995 0.1518129 0.004595637 0.04929995 0.1512063 -0.002744257 0.04929995 0.1454237 -0.005516171 0.04929995 0.1364996 -0.00274384 0.04929995 0.1275756 0.004596531 0.04929995 0.1217934 0.01391845 0.04929995 0.1211871 0.01533257 0.04929995 0.1210047 0.01635181 0.04929995 0.1196902 0.01626574 0.04929995 0.1199266 0.0202341 0.05599999 0.15382 0.0202341 0.05599999 0.11918 0.02755355 0.05599999 0.1465005 0.02755355 0.05599999 0.1264994 0.02271503 0.04929995 0.1208727 0.03023362 0.05599999 0.1365 0.02814978 0.05549997 0.1276111 0.02814978 0.05549997 0.1453889 0.0302335 0.05549997 0.1364992 0.02271503 0.04929995 0.1521272 0.02814978 0.04929995 0.1453889 0.02805769 0.05549997 0.1434459 0.02814978 0.04929995 0.1276111 0.02805769 0.05549997 0.129554 0.02805769 0.04929995 0.1434459 0.02480548 0.04929995 0.1460556 0.02560538 0.04929995 0.1452556 0.02480548 0.04929995 0.1444556 0.02179652 0.04929995 0.1434677 0.009084582 0.04929995 0.1499509 0.01848286 0.04929995 0.1471862 0.01404219 0.04929995 0.1494516 0.01404088 0.04929995 0.123548 0.02518099 0.04929995 0.1270381 0.02551186 0.04929995 0.1281199 0.02805769 0.04929995 0.129554 0.004280388 0.04929995 0.1486164 -0.002345681 0.04929995 0.1413995 2.90317e-4 0.04929995 0.1456311 -0.002346277 0.04929995 0.1316022 -0.003266334 0.04929995 0.1365008 2.89106e-4 0.04929995 0.1273701 0.004278838 0.04929995 0.1243844 0.009082734 0.04929995 0.1230491 0.02400559 0.04929995 0.1452556 0.02480548 0.05529993 0.1460556 0.02560544 0.05529993 0.1452556 0.02537113 0.05529993 0.1458213 0.02400547 0.05529993 0.1452556 0.02423971 0.05529993 0.1458213 0.02480548 0.05529993 0.1444556 0.02423971 0.05529993 0.1446899 0.02537113 0.05529993 0.1446899 0.02442991 0.04929995 0.1284506 0.02551186 0.05529993 0.1281199 0.02518105 0.05529993 0.127038 0.02557051 0.05529993 0.1275104 0.01848214 0.04929995 0.1258132 0.02409911 0.04929995 0.1273688 0.02442985 0.05529993 0.1284507 0.02179652 0.04929995 0.1295322 0.02503937 0.05529993 0.1285094 0.02409911 0.05529993 0.1273688 0.02404046 0.05529993 0.1279782 0.02457153 0.05529993 0.1269793 0.02350956 0.04929995 0.1425 0.02635806 0.04929995 0.1425 0.02252578 0.04929995 0.1427587 0.02350956 0.05549997 0.1425 0.02635806 0.05549997 0.1425 0.02252578 0.05549997 0.1427587 0.02179652 0.05549997 0.1434677 0.01848286 0.05549997 0.1471862 0.01404219 0.05549997 0.1494516 0.009084582 0.05549997 0.1499509 0.004280388 0.05549997 0.1486164 2.90317e-4 0.05549997 0.1456311 -0.002345681 0.05549997 0.1413995 -0.003266334 0.05549997 0.1365008 -0.002346277 0.05549997 0.1316022 2.89105e-4 0.05549997 0.1273701 0.004278838 0.05549997 0.1243844 0.009082734 0.05549997 0.1230491 0.01404088 0.05549997 0.123548 0.01848214 0.05549997 0.1258132 0.02252578 0.04929995 0.1302412 0.02179652 0.05549997 0.1295322 0.02635806 0.04929995 0.1305 0.02350956 0.04929995 0.1305 0.02252578 0.05549997 0.1302412 0.02635806 0.05549997 0.1305 0.02350956 0.05549997 0.1305 0.02480548 0.05578058 0.1452556 0.02480548 0.05578058 0.1277443 -0.01217234 0.03599995 0.03161764 -0.01300001 0.03599995 0.03324997 -0.01499992 0.03599995 0.03125 -0.01499992 0.03389996 0.03125 -0.01499992 0.03599995 0.02998495 -0.0169999 0.03599995 0.03324997 -0.0169999 0.03389996 0.03324997 -0.01499992 0.03599995 0.03651493 -0.01499992 0.03599995 0.03524988 -0.01300001 0.03389996 0.03324997 -0.01217234 0.03599995 0.03488224 -0.01782757 0.03599995 0.03488224 -0.01499992 0.03389996 0.03524988 -0.01782757 0.03599995 0.03161764 -0.01499992 0.03606873 0.02981883 -0.01196891 0.03623497 0.03149998 -0.01803106 0.03623497 0.03149998 -0.01499992 0.03623497 0.02974992 -0.01803106 0.03623497 0.0349999 -0.01499992 0.03606873 0.03668117 -0.01196891 0.03623497 0.0349999 -0.01499992 0.03623497 0.03674989 -0.01499992 0.03389996 0.03489995 -0.01334995 0.03389996 0.03324997 -0.01664996 0.03389996 0.03324997 -0.01499992 0.03389996 0.03159993 -0.01499992 0.02399992 0.03159993 -0.01664996 0.02399992 0.03324997 -0.01334995 0.02399992 0.03324997 -0.01499992 0.02399992 0.03489995 -0.01768457 0.03999996 0.03169995 -0.01231527 0.03999996 0.03169995 -0.01499992 0.03999996 0.03014999 -0.01499992 0.03959995 0.02974992 -0.01803106 0.03959995 0.03149998 -0.01413393 0.03999996 0.03474998 -0.01231527 0.03999996 0.03479999 -0.01196891 0.03959995 0.03149998 -0.01586598 0.03999996 0.03174996 -0.01413393 0.03999996 0.03174996 -0.01326793 0.03999996 0.03324997 -0.01768457 0.03999996 0.03479999 -0.01499992 0.03999996 0.03634995 -0.01196891 0.03959995 0.0349999 -0.01499992 0.03959995 0.03674989 -0.01803106 0.03959995 0.0349999 -0.01673197 0.03999996 0.03324997 -0.01586598 0.03999996 0.03474998 -0.01586598 0.03799992 0.03174996 -0.01413393 0.03799992 0.03174996 -0.01673197 0.03799992 0.03324997 -0.01586598 0.03799992 0.03474998 -0.01413393 0.03799992 0.03474998 -0.01326793 0.03799992 0.03324997 -0.004172325 0.03599995 0.03161764 -0.004999995 0.03599995 0.03324997 -0.006999969 0.03599995 0.03125 -0.006999969 0.03389996 0.03125 -0.006999969 0.03599995 0.02998495 -0.008999943 0.03599995 0.03324997 -0.008999943 0.03389996 0.03324997 -0.006999969 0.03599995 0.03651493 -0.006999969 0.03599995 0.03524988 -0.004999995 0.03389996 0.03324997 -0.004172325 0.03599995 0.03488224 -0.009827613 0.03599995 0.03488224 -0.006999969 0.03389996 0.03524988 -0.009827613 0.03599995 0.03161764 -0.006999969 0.03606873 0.02981883 -0.003968894 0.03623497 0.03149998 -0.01003104 0.03623497 0.03149998 -0.006999969 0.03623497 0.02974992 -0.01003104 0.03623497 0.0349999 -0.006999969 0.03606873 0.03668117 -0.003968894 0.03623497 0.0349999 -0.006999969 0.03623497 0.03674989 -0.006999969 0.03389996 0.03489995 -0.005349934 0.03389996 0.03324997 -0.008649945 0.03389996 0.03324997 -0.006999969 0.03389996 0.03159993 -0.006999969 0.02399992 0.03159993 -0.008649945 0.02399992 0.03324997 -0.005349934 0.02399992 0.03324997 -0.006999969 0.02399992 0.03489995 -0.009684622 0.03999996 0.03169995 -0.004315316 0.03999996 0.03169995 -0.006999969 0.03999996 0.03014999 -0.006999969 0.03959995 0.02974992 -0.01003104 0.03959995 0.03149998 -0.006133973 0.03999996 0.03474998 -0.004315316 0.03999996 0.03479999 -0.003968894 0.03959995 0.03149998 -0.007866024 0.03999996 0.03174996 -0.006133973 0.03999996 0.03174996 -0.005267918 0.03999996 0.03324997 -0.009684622 0.03999996 0.03479999 -0.006999969 0.03999996 0.03634995 -0.003968894 0.03959995 0.0349999 -0.006999969 0.03959995 0.03674989 -0.01003104 0.03959995 0.0349999 -0.00873202 0.03999996 0.03324997 -0.007866024 0.03999996 0.03474998 -0.007866024 0.03799992 0.03174996 -0.006133973 0.03799992 0.03174996 -0.00873202 0.03799992 0.03324997 -0.007866024 0.03799992 0.03474998 -0.006133973 0.03799992 0.03474998 -0.005267918 0.03799992 0.03324997 -0.01782757 -0.03599995 0.03161764 -0.0169999 -0.03599995 0.03324997 -0.01499992 -0.03599995 0.03125 -0.01499992 -0.03389996 0.03125 -0.01499992 -0.03599995 0.02998495 -0.01300001 -0.03599995 0.03324997 -0.01300001 -0.03389996 0.03324997 -0.01499992 -0.03599995 0.03651493 -0.01499992 -0.03599995 0.03524988 -0.0169999 -0.03389996 0.03324997 -0.01782757 -0.03599995 0.03488224 -0.01217234 -0.03599995 0.03488224 -0.01499992 -0.03389996 0.03524988 -0.01217234 -0.03599995 0.03161764 -0.01499992 -0.03606873 0.02981883 -0.01803106 -0.03623497 0.03149998 -0.01196891 -0.03623497 0.03149998 -0.01499992 -0.03623497 0.02974992 -0.01196891 -0.03623497 0.0349999 -0.01499992 -0.03606873 0.03668117 -0.01803106 -0.03623497 0.0349999 -0.01499992 -0.03623497 0.03674989 -0.01499992 -0.03389996 0.03489995 -0.01664996 -0.03389996 0.03324997 -0.01334995 -0.03389996 0.03324997 -0.01499992 -0.03389996 0.03159993 -0.01499992 -0.02399992 0.03159993 -0.01334995 -0.02399992 0.03324997 -0.01664996 -0.02399992 0.03324997 -0.01499992 -0.02399992 0.03489995 -0.01231527 -0.03999996 0.03169995 -0.01768457 -0.03999996 0.03169995 -0.01499992 -0.03999996 0.03014999 -0.01499992 -0.03959995 0.02974992 -0.01196891 -0.03959995 0.03149998 -0.01586598 -0.03999996 0.03474998 -0.01768457 -0.03999996 0.03479999 -0.01803106 -0.03959995 0.03149998 -0.01413393 -0.03999996 0.03174996 -0.01586598 -0.03999996 0.03174996 -0.01673197 -0.03999996 0.03324997 -0.01231527 -0.03999996 0.03479999 -0.01499992 -0.03999996 0.03634995 -0.01803106 -0.03959995 0.0349999 -0.01499992 -0.03959995 0.03674989 -0.01196891 -0.03959995 0.0349999 -0.01326793 -0.03999996 0.03324997 -0.01413393 -0.03999996 0.03474998 -0.01413393 -0.03799992 0.03174996 -0.01586598 -0.03799992 0.03174996 -0.01326793 -0.03799992 0.03324997 -0.01413393 -0.03799992 0.03474998 -0.01586598 -0.03799992 0.03474998 -0.01673197 -0.03799992 0.03324997 -0.009827613 -0.03599995 0.03161764 -0.008999943 -0.03599995 0.03324997 -0.006999969 -0.03599995 0.03125 -0.006999969 -0.03389996 0.03125 -0.006999969 -0.03599995 0.02998495 -0.004999995 -0.03599995 0.03324997 -0.004999995 -0.03389996 0.03324997 -0.006999969 -0.03599995 0.03651493 -0.006999969 -0.03599995 0.03524988 -0.008999943 -0.03389996 0.03324997 -0.009827613 -0.03599995 0.03488224 -0.004172325 -0.03599995 0.03488224 -0.006999969 -0.03389996 0.03524988 -0.004172325 -0.03599995 0.03161764 -0.006999969 -0.03606873 0.02981883 -0.01003104 -0.03623497 0.03149998 -0.003968894 -0.03623497 0.03149998 -0.006999969 -0.03623497 0.02974992 -0.003968894 -0.03623497 0.0349999 -0.006999969 -0.03606873 0.03668117 -0.01003104 -0.03623497 0.0349999 -0.006999969 -0.03623497 0.03674989 -0.006999969 -0.03389996 0.03489995 -0.008649945 -0.03389996 0.03324997 -0.005349934 -0.03389996 0.03324997 -0.006999969 -0.03389996 0.03159993 -0.006999969 -0.02399992 0.03159993 -0.005349934 -0.02399992 0.03324997 -0.008649945 -0.02399992 0.03324997 -0.006999969 -0.02399992 0.03489995 -0.004315316 -0.03999996 0.03169995 -0.009684622 -0.03999996 0.03169995 -0.006999969 -0.03999996 0.03014999 -0.006999969 -0.03959995 0.02974992 -0.003968894 -0.03959995 0.03149998 -0.007866024 -0.03999996 0.03474998 -0.009684622 -0.03999996 0.03479999 -0.01003104 -0.03959995 0.03149998 -0.006133973 -0.03999996 0.03174996 -0.007866024 -0.03999996 0.03174996 -0.00873202 -0.03999996 0.03324997 -0.004315316 -0.03999996 0.03479999 -0.006999969 -0.03999996 0.03634995 -0.01003104 -0.03959995 0.0349999 -0.006999969 -0.03959995 0.03674989 -0.003968894 -0.03959995 0.0349999 -0.005267918 -0.03999996 0.03324997 -0.006133973 -0.03999996 0.03474998 -0.006133973 -0.03799992 0.03174996 -0.007866024 -0.03799992 0.03174996 -0.005267918 -0.03799992 0.03324997 -0.006133973 -0.03799992 0.03474998 -0.007866024 -0.03799992 0.03474998 -0.00873202 -0.03799992 0.03324997 0.02847713 0.03599995 0.01374262 0.02676755 0.03599995 0.01398199 0.02499997 0.03599995 0.01324999 0.02499997 0.03359997 0.01324999 0.02499997 0.03599995 0.01173496 0.0232324 0.03599995 0.01398199 0.0232324 0.03359997 0.01398199 0.02749991 0.03599995 0.01574999 0.02676755 0.03359997 0.01398199 0.02676755 0.03599995 0.01751786 0.02749991 0.03359997 0.01574999 0.02499997 0.03599995 0.0197649 0.02499997 0.03599995 0.01824992 0.02676755 0.03359997 0.01751786 0.02847713 0.03599995 0.01775723 0.02152276 0.03599995 0.01775723 0.0232324 0.03599995 0.01751786 0.02499997 0.03359997 0.01824992 0.02249997 0.03599995 0.01574999 0.0232324 0.03359997 0.01751786 0.02249997 0.03359997 0.01574999 0.02152276 0.03599995 0.01374262 0.02499997 0.03606873 0.01156878 0.02868056 0.03623497 0.0136249 0.02131932 0.03623497 0.0136249 0.02499997 0.03623497 0.0115 0.02131932 0.03623497 0.01787495 0.02499997 0.03606873 0.01993107 0.02868056 0.03623497 0.01787495 0.02499997 0.03623497 0.01999998 0.02499997 0.03359997 0.01784998 0.0270999 0.03359997 0.01574999 0.02289998 0.03359997 0.01574999 0.02499997 0.03359997 0.01365 0.02499997 0.02399992 0.01365 0.02289998 0.02399992 0.01574999 0.0270999 0.02399992 0.01574999 0.02499997 0.02399992 0.01784998 0.02615463 0.04099988 0.01374989 0.02824759 0.04099988 0.01387488 0.02499997 0.04099988 0.01199996 0.02499997 0.04049998 0.0115 0.02384525 0.04099988 0.01374989 0.02175229 0.04099988 0.01387488 0.02131932 0.04049998 0.0136249 0.02730929 0.04099988 0.01574999 0.02824759 0.04099988 0.01762497 0.02868056 0.04049998 0.0136249 0.02615463 0.04099988 0.01774996 0.02499997 0.04099988 0.01949989 0.02868056 0.04049998 0.01787495 0.02384525 0.04099988 0.01774996 0.02175229 0.04099988 0.01762497 0.02499997 0.04049998 0.01999998 0.02269059 0.04099988 0.01574999 0.02131932 0.04049998 0.01787495 0.02384525 0.03849995 0.01374989 0.02615463 0.03849995 0.01374989 0.02269059 0.03849995 0.01574999 0.02384525 0.03849995 0.01774996 0.02615463 0.03849995 0.01774996 0.02730929 0.03849995 0.01574999 0.0189771 0.03599995 0.01374262 0.01726752 0.03599995 0.01398199 0.01549988 0.03599995 0.01324999 0.01549988 0.03359997 0.01324999 0.01549988 0.03599995 0.01173496 0.01373243 0.03599995 0.01398199 0.01373243 0.03359997 0.01398199 0.01799982 0.03599995 0.01574999 0.01726752 0.03359997 0.01398199 0.01726752 0.03599995 0.01751786 0.01799982 0.03359997 0.01574999 0.01549988 0.03599995 0.0197649 0.01549988 0.03599995 0.01824992 0.01726752 0.03359997 0.01751786 0.0189771 0.03599995 0.01775723 0.01202285 0.03599995 0.01775723 0.01373243 0.03599995 0.01751786 0.01549988 0.03359997 0.01824992 0.01300007 0.03599995 0.01574999 0.01373243 0.03359997 0.01751786 0.01300007 0.03359997 0.01574999 0.01202285 0.03599995 0.01374262 0.01549988 0.03606873 0.01156878 0.01918059 0.03623497 0.0136249 0.01181936 0.03623497 0.0136249 0.01549988 0.03623497 0.0115 0.01181936 0.03623497 0.01787495 0.01549988 0.03606873 0.01993107 0.01918059 0.03623497 0.01787495 0.01549988 0.03623497 0.01999998 0.01549988 0.03359997 0.01784998 0.01759994 0.03359997 0.01574999 0.01339989 0.03359997 0.01574999 0.01549988 0.03359997 0.01365 0.01549988 0.02399992 0.01365 0.01339989 0.02399992 0.01574999 0.01759994 0.02399992 0.01574999 0.01549988 0.02399992 0.01784998 0.01665467 0.04099988 0.01374989 0.0187475 0.04099988 0.01387488 0.01549988 0.04099988 0.01199996 0.01549988 0.04049998 0.0115 0.01434522 0.04099988 0.01374989 0.01225239 0.04099988 0.01387488 0.01181936 0.04049998 0.0136249 0.01780939 0.04099988 0.01574999 0.0187475 0.04099988 0.01762497 0.01918059 0.04049998 0.0136249 0.01665467 0.04099988 0.01774996 0.01549988 0.04099988 0.01949989 0.01918059 0.04049998 0.01787495 0.01434522 0.04099988 0.01774996 0.01225239 0.04099988 0.01762497 0.01549988 0.04049998 0.01999998 0.0131905 0.04099988 0.01574999 0.01181936 0.04049998 0.01787495 0.01434522 0.03849995 0.01374989 0.01665467 0.03849995 0.01374989 0.0131905 0.03849995 0.01574999 0.01434522 0.03849995 0.01774996 0.01665467 0.03849995 0.01774996 0.01780939 0.03849995 0.01574999 -0.02847713 -0.03599995 0.01374262 -0.02676755 -0.03599995 0.01398199 -0.02499997 -0.03599995 0.01324999 -0.02499997 -0.03359997 0.01324999 -0.02499997 -0.03599995 0.01173496 -0.0232324 -0.03599995 0.01398199 -0.0232324 -0.03359997 0.01398199 -0.02749991 -0.03599995 0.01574999 -0.02676755 -0.03359997 0.01398199 -0.02676755 -0.03599995 0.01751786 -0.02749991 -0.03359997 0.01574999 -0.02499997 -0.03599995 0.0197649 -0.02499997 -0.03599995 0.01824992 -0.02676755 -0.03359997 0.01751786 -0.02847713 -0.03599995 0.01775723 -0.02152276 -0.03599995 0.01775723 -0.0232324 -0.03599995 0.01751786 -0.02499997 -0.03359997 0.01824992 -0.02249997 -0.03599995 0.01574999 -0.0232324 -0.03359997 0.01751786 -0.02249997 -0.03359997 0.01574999 -0.02152276 -0.03599995 0.01374262 -0.02499997 -0.03606873 0.01156878 -0.02868056 -0.03623497 0.0136249 -0.02131932 -0.03623497 0.0136249 -0.02499997 -0.03623497 0.0115 -0.02131932 -0.03623497 0.01787495 -0.02499997 -0.03606873 0.01993107 -0.02868056 -0.03623497 0.01787495 -0.02499997 -0.03623497 0.01999998 -0.02499997 -0.03359997 0.01784998 -0.0270999 -0.03359997 0.01574999 -0.02289998 -0.03359997 0.01574999 -0.02499997 -0.03359997 0.01365 -0.02499997 -0.02399992 0.01365 -0.02289998 -0.02399992 0.01574999 -0.0270999 -0.02399992 0.01574999 -0.02499997 -0.02399992 0.01784998 -0.02615463 -0.04099988 0.01374989 -0.02824759 -0.04099988 0.01387488 -0.02499997 -0.04099988 0.01199996 -0.02499997 -0.04049998 0.0115 -0.02384525 -0.04099988 0.01374989 -0.02175229 -0.04099988 0.01387488 -0.02131932 -0.04049998 0.0136249 -0.02730929 -0.04099988 0.01574999 -0.02824759 -0.04099988 0.01762497 -0.02868056 -0.04049998 0.0136249 -0.02615463 -0.04099988 0.01774996 -0.02499997 -0.04099988 0.01949989 -0.02868056 -0.04049998 0.01787495 -0.02384525 -0.04099988 0.01774996 -0.02175229 -0.04099988 0.01762497 -0.02499997 -0.04049998 0.01999998 -0.02269059 -0.04099988 0.01574999 -0.02131932 -0.04049998 0.01787495 -0.02384525 -0.03849995 0.01374989 -0.02615463 -0.03849995 0.01374989 -0.02269059 -0.03849995 0.01574999 -0.02384525 -0.03849995 0.01774996 -0.02615463 -0.03849995 0.01774996 -0.02730929 -0.03849995 0.01574999 -0.0189771 -0.03599995 0.01374262 -0.01726752 -0.03599995 0.01398199 -0.01549988 -0.03599995 0.01324999 -0.01549988 -0.03359997 0.01324999 -0.01549988 -0.03599995 0.01173496 -0.01373243 -0.03599995 0.01398199 -0.01373243 -0.03359997 0.01398199 -0.01799982 -0.03599995 0.01574999 -0.01726752 -0.03359997 0.01398199 -0.01726752 -0.03599995 0.01751786 -0.01799982 -0.03359997 0.01574999 -0.01549988 -0.03599995 0.0197649 -0.01549988 -0.03599995 0.01824992 -0.01726752 -0.03359997 0.01751786 -0.0189771 -0.03599995 0.01775723 -0.01202285 -0.03599995 0.01775723 -0.01373243 -0.03599995 0.01751786 -0.01549988 -0.03359997 0.01824992 -0.01300007 -0.03599995 0.01574999 -0.01373243 -0.03359997 0.01751786 -0.01300007 -0.03359997 0.01574999 -0.01202285 -0.03599995 0.01374262 -0.01549988 -0.03606873 0.01156878 -0.01918059 -0.03623497 0.0136249 -0.01181936 -0.03623497 0.0136249 -0.01549988 -0.03623497 0.0115 -0.01181936 -0.03623497 0.01787495 -0.01549988 -0.03606873 0.01993107 -0.01918059 -0.03623497 0.01787495 -0.01549988 -0.03623497 0.01999998 -0.01549988 -0.03359997 0.01784998 -0.01759994 -0.03359997 0.01574999 -0.01339989 -0.03359997 0.01574999 -0.01549988 -0.03359997 0.01365 -0.01549988 -0.02399992 0.01365 -0.01339989 -0.02399992 0.01574999 -0.01759994 -0.02399992 0.01574999 -0.01549988 -0.02399992 0.01784998 -0.01665467 -0.04099988 0.01374989 -0.0187475 -0.04099988 0.01387488 -0.01549988 -0.04099988 0.01199996 -0.01549988 -0.04049998 0.0115 -0.01434522 -0.04099988 0.01374989 -0.01225239 -0.04099988 0.01387488 -0.01181936 -0.04049998 0.0136249 -0.01780939 -0.04099988 0.01574999 -0.0187475 -0.04099988 0.01762497 -0.01918059 -0.04049998 0.0136249 -0.01665467 -0.04099988 0.01774996 -0.01549988 -0.04099988 0.01949989 -0.01918059 -0.04049998 0.01787495 -0.01434522 -0.04099988 0.01774996 -0.01225239 -0.04099988 0.01762497 -0.01549988 -0.04049998 0.01999998 -0.0131905 -0.04099988 0.01574999 -0.01181936 -0.04049998 0.01787495 -0.01434522 -0.03849995 0.01374989 -0.01665467 -0.03849995 0.01374989 -0.0131905 -0.03849995 0.01574999 -0.01434522 -0.03849995 0.01774996 -0.01665467 -0.03849995 0.01774996 -0.01780939 -0.03849995 0.01574999 0.01202285 -0.03599995 0.01374262 0.01373243 -0.03599995 0.01398199 0.01549988 -0.03599995 0.01324999 0.01549988 -0.03359997 0.01324999 0.01549988 -0.03599995 0.01173496 0.01726752 -0.03599995 0.01398199 0.01726752 -0.03359997 0.01398199 0.01300007 -0.03599995 0.01574999 0.01373243 -0.03359997 0.01398199 0.01373243 -0.03599995 0.01751786 0.01300007 -0.03359997 0.01574999 0.01549988 -0.03599995 0.0197649 0.01549988 -0.03599995 0.01824992 0.01373243 -0.03359997 0.01751786 0.01202285 -0.03599995 0.01775723 0.0189771 -0.03599995 0.01775723 0.01726752 -0.03599995 0.01751786 0.01549988 -0.03359997 0.01824992 0.01799982 -0.03599995 0.01574999 0.01726752 -0.03359997 0.01751786 0.01799982 -0.03359997 0.01574999 0.0189771 -0.03599995 0.01374262 0.01549988 -0.03606873 0.01156878 0.01181936 -0.03623497 0.0136249 0.01918059 -0.03623497 0.0136249 0.01549988 -0.03623497 0.0115 0.01918059 -0.03623497 0.01787495 0.01549988 -0.03606873 0.01993107 0.01181936 -0.03623497 0.01787495 0.01549988 -0.03623497 0.01999998 0.01549988 -0.03359997 0.01784998 0.01339989 -0.03359997 0.01574999 0.01759994 -0.03359997 0.01574999 0.01549988 -0.03359997 0.01365 0.01549988 -0.02399992 0.01365 0.01759994 -0.02399992 0.01574999 0.01339989 -0.02399992 0.01574999 0.01549988 -0.02399992 0.01784998 0.01434522 -0.04099988 0.01374989 0.01225239 -0.04099988 0.01387488 0.01549988 -0.04099988 0.01199996 0.01549988 -0.04049998 0.0115 0.01665467 -0.04099988 0.01374989 0.0187475 -0.04099988 0.01387488 0.01918059 -0.04049998 0.0136249 0.0131905 -0.04099988 0.01574999 0.01225239 -0.04099988 0.01762497 0.01181936 -0.04049998 0.0136249 0.01434522 -0.04099988 0.01774996 0.01549988 -0.04099988 0.01949989 0.01181936 -0.04049998 0.01787495 0.01665467 -0.04099988 0.01774996 0.0187475 -0.04099988 0.01762497 0.01549988 -0.04049998 0.01999998 0.01780939 -0.04099988 0.01574999 0.01918059 -0.04049998 0.01787495 0.01665467 -0.03849995 0.01374989 0.01434522 -0.03849995 0.01374989 0.01780939 -0.03849995 0.01574999 0.01665467 -0.03849995 0.01774996 0.01434522 -0.03849995 0.01774996 0.0131905 -0.03849995 0.01574999 0.02152276 -0.03599995 0.01374262 0.0232324 -0.03599995 0.01398199 0.02499997 -0.03599995 0.01324999 0.02499997 -0.03359997 0.01324999 0.02499997 -0.03599995 0.01173496 0.02676755 -0.03599995 0.01398199 0.02676755 -0.03359997 0.01398199 0.02249997 -0.03599995 0.01574999 0.0232324 -0.03359997 0.01398199 0.0232324 -0.03599995 0.01751786 0.02249997 -0.03359997 0.01574999 0.02499997 -0.03599995 0.0197649 0.02499997 -0.03599995 0.01824992 0.0232324 -0.03359997 0.01751786 0.02152276 -0.03599995 0.01775723 0.02847713 -0.03599995 0.01775723 0.02676755 -0.03599995 0.01751786 0.02499997 -0.03359997 0.01824992 0.02749991 -0.03599995 0.01574999 0.02676755 -0.03359997 0.01751786 0.02749991 -0.03359997 0.01574999 0.02847713 -0.03599995 0.01374262 0.02499997 -0.03606873 0.01156878 0.02131932 -0.03623497 0.0136249 0.02868056 -0.03623497 0.0136249 0.02499997 -0.03623497 0.0115 0.02868056 -0.03623497 0.01787495 0.02499997 -0.03606873 0.01993107 0.02131932 -0.03623497 0.01787495 0.02499997 -0.03623497 0.01999998 0.02499997 -0.03359997 0.01784998 0.02289998 -0.03359997 0.01574999 0.0270999 -0.03359997 0.01574999 0.02499997 -0.03359997 0.01365 0.02499997 -0.02399992 0.01365 0.0270999 -0.02399992 0.01574999 0.02289998 -0.02399992 0.01574999 0.02499997 -0.02399992 0.01784998 0.02384525 -0.04099988 0.01374989 0.02175229 -0.04099988 0.01387488 0.02499997 -0.04099988 0.01199996 0.02499997 -0.04049998 0.0115 0.02615463 -0.04099988 0.01374989 0.02824759 -0.04099988 0.01387488 0.02868056 -0.04049998 0.0136249 0.02269059 -0.04099988 0.01574999 0.02175229 -0.04099988 0.01762497 0.02131932 -0.04049998 0.0136249 0.02384525 -0.04099988 0.01774996 0.02499997 -0.04099988 0.01949989 0.02131932 -0.04049998 0.01787495 0.02615463 -0.04099988 0.01774996 0.02824759 -0.04099988 0.01762497 0.02499997 -0.04049998 0.01999998 0.02730929 -0.04099988 0.01574999 0.02868056 -0.04049998 0.01787495 0.02615463 -0.03849995 0.01374989 0.02384525 -0.03849995 0.01374989 0.02730929 -0.03849995 0.01574999 0.02615463 -0.03849995 0.01774996 0.02384525 -0.03849995 0.01774996 0.02269059 -0.03849995 0.01574999 -0.01202285 0.03599995 0.01374262 -0.01373243 0.03599995 0.01398199 -0.01549988 0.03599995 0.01324999 -0.01549988 0.03359997 0.01324999 -0.01549988 0.03599995 0.01173496 -0.01726752 0.03599995 0.01398199 -0.01726752 0.03359997 0.01398199 -0.01300007 0.03599995 0.01574999 -0.01373243 0.03359997 0.01398199 -0.01373243 0.03599995 0.01751786 -0.01300007 0.03359997 0.01574999 -0.01549988 0.03599995 0.0197649 -0.01549988 0.03599995 0.01824992 -0.01373243 0.03359997 0.01751786 -0.01202285 0.03599995 0.01775723 -0.0189771 0.03599995 0.01775723 -0.01726752 0.03599995 0.01751786 -0.01549988 0.03359997 0.01824992 -0.01799982 0.03599995 0.01574999 -0.01726752 0.03359997 0.01751786 -0.01799982 0.03359997 0.01574999 -0.0189771 0.03599995 0.01374262 -0.01549988 0.03606873 0.01156878 -0.01181936 0.03623497 0.0136249 -0.01918059 0.03623497 0.0136249 -0.01549988 0.03623497 0.0115 -0.01918059 0.03623497 0.01787495 -0.01549988 0.03606873 0.01993107 -0.01181936 0.03623497 0.01787495 -0.01549988 0.03623497 0.01999998 -0.01549988 0.03359997 0.01784998 -0.01339989 0.03359997 0.01574999 -0.01759994 0.03359997 0.01574999 -0.01549988 0.03359997 0.01365 -0.01549988 0.02399992 0.01365 -0.01759994 0.02399992 0.01574999 -0.01339989 0.02399992 0.01574999 -0.01549988 0.02399992 0.01784998 -0.01434522 0.04099988 0.01374989 -0.01225239 0.04099988 0.01387488 -0.01549988 0.04099988 0.01199996 -0.01549988 0.04049998 0.0115 -0.01665467 0.04099988 0.01374989 -0.0187475 0.04099988 0.01387488 -0.01918059 0.04049998 0.0136249 -0.0131905 0.04099988 0.01574999 -0.01225239 0.04099988 0.01762497 -0.01181936 0.04049998 0.0136249 -0.01434522 0.04099988 0.01774996 -0.01549988 0.04099988 0.01949989 -0.01181936 0.04049998 0.01787495 -0.01665467 0.04099988 0.01774996 -0.0187475 0.04099988 0.01762497 -0.01549988 0.04049998 0.01999998 -0.01780939 0.04099988 0.01574999 -0.01918059 0.04049998 0.01787495 -0.01665467 0.03849995 0.01374989 -0.01434522 0.03849995 0.01374989 -0.01780939 0.03849995 0.01574999 -0.01665467 0.03849995 0.01774996 -0.01434522 0.03849995 0.01774996 -0.0131905 0.03849995 0.01574999 -0.02152276 0.03599995 0.01374262 -0.0232324 0.03599995 0.01398199 -0.02499997 0.03599995 0.01324999 -0.02499997 0.03359997 0.01324999 -0.02499997 0.03599995 0.01173496 -0.02676755 0.03599995 0.01398199 -0.02676755 0.03359997 0.01398199 -0.02249997 0.03599995 0.01574999 -0.0232324 0.03359997 0.01398199 -0.0232324 0.03599995 0.01751786 -0.02249997 0.03359997 0.01574999 -0.02499997 0.03599995 0.0197649 -0.02499997 0.03599995 0.01824992 -0.0232324 0.03359997 0.01751786 -0.02152276 0.03599995 0.01775723 -0.02847713 0.03599995 0.01775723 -0.02676755 0.03599995 0.01751786 -0.02499997 0.03359997 0.01824992 -0.02749991 0.03599995 0.01574999 -0.02676755 0.03359997 0.01751786 -0.02749991 0.03359997 0.01574999 -0.02847713 0.03599995 0.01374262 -0.02499997 0.03606873 0.01156878 -0.02131932 0.03623497 0.0136249 -0.02868056 0.03623497 0.0136249 -0.02499997 0.03623497 0.0115 -0.02868056 0.03623497 0.01787495 -0.02499997 0.03606873 0.01993107 -0.02131932 0.03623497 0.01787495 -0.02499997 0.03623497 0.01999998 -0.02499997 0.03359997 0.01784998 -0.02289998 0.03359997 0.01574999 -0.0270999 0.03359997 0.01574999 -0.02499997 0.03359997 0.01365 -0.02499997 0.02399992 0.01365 -0.0270999 0.02399992 0.01574999 -0.02289998 0.02399992 0.01574999 -0.02499997 0.02399992 0.01784998 -0.02384525 0.04099988 0.01374989 -0.02175229 0.04099988 0.01387488 -0.02499997 0.04099988 0.01199996 -0.02499997 0.04049998 0.0115 -0.02615463 0.04099988 0.01374989 -0.02824759 0.04099988 0.01387488 -0.02868056 0.04049998 0.0136249 -0.02269059 0.04099988 0.01574999 -0.02175229 0.04099988 0.01762497 -0.02131932 0.04049998 0.0136249 -0.02384525 0.04099988 0.01774996 -0.02499997 0.04099988 0.01949989 -0.02131932 0.04049998 0.01787495 -0.02615463 0.04099988 0.01774996 -0.02824759 0.04099988 0.01762497 -0.02499997 0.04049998 0.01999998 -0.02730929 0.04099988 0.01574999 -0.02868056 0.04049998 0.01787495 -0.02615463 0.03849995 0.01374989 -0.02384525 0.03849995 0.01374989 -0.02730929 0.03849995 0.01574999 -0.02615463 0.03849995 0.01774996 -0.02384525 0.03849995 0.01774996 -0.02269059 0.03849995 0.01574999 -0.002317488 0.03799992 0.1229488 -0.001317501 0.03799992 0.1239488 -0.002317488 0.03799992 0.1249487 -0.002317488 0.03849995 0.1254488 -0.003317356 0.03799992 0.1239488 -0.003817439 0.03849995 0.1239488 -8.1749e-4 0.03849995 0.1239488 -0.002317488 0.03849995 0.1224488 -0.002317488 0.04799991 0.1249487 -0.001317501 0.04799991 0.1239488 -0.002317488 0.04799991 0.1229488 -0.002317488 0.04749995 0.1224488 -0.003317356 0.04799991 0.1239488 -0.003817439 0.04749995 0.1239488 -8.1749e-4 0.04749995 0.1239488 -0.002317488 0.04749995 0.1254488 -0.003317475 0.03799992 0.1490511 -0.002317488 0.03799992 0.1480512 -0.001317441 0.03799992 0.1490511 -8.1749e-4 0.03849995 0.1490511 -0.002317488 0.03799992 0.1500511 -0.002317488 0.03849995 0.1505511 -0.002317488 0.03849995 0.1475511 -0.003817439 0.03849995 0.1490511 -0.001317441 0.04799991 0.1490511 -0.002317488 0.04799991 0.1480512 -0.003317475 0.04799991 0.1490511 -0.003817439 0.04749995 0.1490511 -0.002317488 0.04799991 0.1500511 -0.002317488 0.04749995 0.1505511 -0.002317488 0.04749995 0.1475511 -8.1749e-4 0.04749995 0.1490511 -0.04349988 -0.01517248 0.0316174 -0.04349988 -0.01600003 0.03324997 -0.04349988 -0.01799988 0.03125 -0.04139989 -0.01799988 0.03125 -0.04349988 -0.01799988 0.02998495 -0.04349988 -0.01999992 0.03324997 -0.04139989 -0.01999992 0.03324997 -0.04349988 -0.01799988 0.03651493 -0.04349988 -0.01799988 0.03524988 -0.04139989 -0.01600003 0.03324997 -0.04349988 -0.01517248 0.03488254 -0.04349988 -0.02082747 0.03488254 -0.04139989 -0.01799988 0.03524988 -0.04349988 -0.02082747 0.0316174 -0.04356873 -0.01799988 0.02981883 -0.0437349 -0.01496887 0.03149998 -0.0437349 -0.02103108 0.03149998 -0.0437349 -0.01799988 0.02974992 -0.0437349 -0.02103108 0.0349999 -0.04356873 -0.01799988 0.03668117 -0.0437349 -0.01496887 0.0349999 -0.0437349 -0.01799988 0.03674989 -0.04139989 -0.01799988 0.03489995 -0.04139989 -0.01634997 0.03324997 -0.04139989 -0.01964998 0.03324997 -0.04139989 -0.01799988 0.03159993 -0.03749996 -0.01799988 0.03159993 -0.03749996 -0.01964998 0.03324997 -0.03749996 -0.01634997 0.03324997 -0.03749996 -0.01799988 0.03489995 -0.04749995 -0.01531541 0.03480011 -0.04749995 -0.01531541 0.03169977 -0.04749995 -0.01799988 0.03014999 -0.04709988 -0.01799988 0.02974992 -0.04749995 -0.01626795 0.03324997 -0.04749995 -0.018866 0.03174996 -0.04749995 -0.02068454 0.03169977 -0.04709988 -0.02103108 0.03149998 -0.04749995 -0.01713395 0.03174996 -0.04709988 -0.01496887 0.03149998 -0.04749995 -0.01713395 0.03474998 -0.04749995 -0.01799988 0.03634995 -0.04709988 -0.01496887 0.0349999 -0.04749995 -0.02068454 0.03480011 -0.04709988 -0.01799988 0.03674989 -0.04749995 -0.01973193 0.03324997 -0.04749995 -0.018866 0.03474998 -0.04709988 -0.02103108 0.0349999 -0.04549998 -0.018866 0.03174996 -0.04549998 -0.01713395 0.03174996 -0.04549998 -0.01973193 0.03324997 -0.04549998 -0.018866 0.03474998 -0.04549998 -0.01713395 0.03474998 -0.04549998 -0.01626795 0.03324997 -0.04349988 0.02082747 0.0316174 -0.04349988 0.01999992 0.03324997 -0.04349988 0.01799988 0.03125 -0.04139989 0.01799988 0.03125 -0.04349988 0.01799988 0.02998495 -0.04349988 0.01600003 0.03324997 -0.04139989 0.01600003 0.03324997 -0.04349988 0.01799988 0.03651493 -0.04349988 0.01799988 0.03524988 -0.04139989 0.01999992 0.03324997 -0.04349988 0.02082747 0.03488254 -0.04349988 0.01517248 0.03488254 -0.04139989 0.01799988 0.03524988 -0.04349988 0.01517248 0.0316174 -0.04356873 0.01799988 0.02981883 -0.0437349 0.02103108 0.03149998 -0.0437349 0.01496887 0.03149998 -0.0437349 0.01799988 0.02974992 -0.0437349 0.01496887 0.0349999 -0.04356873 0.01799988 0.03668117 -0.0437349 0.02103108 0.0349999 -0.0437349 0.01799988 0.03674989 -0.04139989 0.01799988 0.03489995 -0.04139989 0.01964998 0.03324997 -0.04139989 0.01634997 0.03324997 -0.04139989 0.01799988 0.03159993 -0.03749996 0.01799988 0.03159993 -0.03749996 0.01634997 0.03324997 -0.03749996 0.01964998 0.03324997 -0.03749996 0.01799988 0.03489995 -0.04749995 0.02068454 0.03480011 -0.04749995 0.02068454 0.03169977 -0.04749995 0.01799988 0.03014999 -0.04709988 0.01799988 0.02974992 -0.04749995 0.01973193 0.03324997 -0.04749995 0.01713395 0.03174996 -0.04749995 0.01531541 0.03169977 -0.04709988 0.01496887 0.03149998 -0.04749995 0.018866 0.03174996 -0.04709988 0.02103108 0.03149998 -0.04749995 0.018866 0.03474998 -0.04749995 0.01799988 0.03634995 -0.04709988 0.02103108 0.0349999 -0.04749995 0.01531541 0.03480011 -0.04709988 0.01799988 0.03674989 -0.04749995 0.01626795 0.03324997 -0.04749995 0.01713395 0.03474998 -0.04709988 0.01496887 0.0349999 -0.04549998 0.01713395 0.03174996 -0.04549998 0.018866 0.03174996 -0.04549998 0.01626795 0.03324997 -0.04549998 0.01713395 0.03474998 -0.04549998 0.018866 0.03474998 -0.04549998 0.01973193 0.03324997 0.07531166 0.04049998 -0.02591723 0.07184737 0.04049998 -0.02391707 0.07184737 0.04049998 -0.01991719 0.07184737 0.04019999 -0.01991719 0.07458978 0.04049998 -0.02316725 0.07458978 0.04049998 -0.02066725 0.07531136 0.04049998 -0.01791727 0.07531148 0.04019999 -0.01791727 0.07386809 0.04049998 -0.02191722 0.07184737 0.04019999 -0.02391719 0.07603317 0.04049998 -0.02316725 0.07877558 0.04049998 -0.02391719 0.07531148 0.04019999 -0.02591723 0.07877564 0.04049998 -0.0199173 0.07877558 0.04019999 -0.02391719 0.07603317 0.04049998 -0.02066725 0.07675486 0.04049998 -0.02191722 0.07877558 0.04019999 -0.01991719 0.07458978 0.03869998 -0.02066725 0.07386809 0.03869998 -0.02191722 0.07603317 0.03869998 -0.02066725 0.07675486 0.03869998 -0.02191722 0.07603317 0.03869998 -0.02316725 0.07458978 0.03869998 -0.02316725 0.07704353 0.03819996 -0.02291727 0.07582914 0.03819996 -0.02384907 0.07631152 0.03819996 -0.02018517 0.07724332 0.03819996 -0.02139955 0.07479387 0.03819996 -0.01998531 0.07357943 0.03819996 -0.02091717 0.07704353 0.03609997 -0.02291727 0.07431149 0.03609997 -0.02364927 0.07631152 0.03609997 -0.02018517 0.07357943 0.03609997 -0.02091717 0.07337963 0.03819996 -0.02243489 0.07674044 0.03609997 -0.02274227 0.07448649 0.03609997 -0.02334618 0.07613646 0.03609997 -0.02048832 0.07388257 0.03609997 -0.02109223 0.07431149 0.03819996 -0.02364927 0.07388257 0.03049999 -0.02109223 0.07613646 0.03049999 -0.02048832 0.07448649 0.03049999 -0.02334618 0.07674044 0.03049999 -0.02274227 0.06123846 0.04049998 -0.001542389 0.0647028 0.04049998 4.57696e-4 0.06816679 0.04049998 -0.00154227 0.06816679 0.04019999 -0.00154227 0.06398099 0.04049998 -0.002292156 0.06614607 0.04049998 -0.003542244 0.06816685 0.04049998 -0.005542099 0.06816679 0.04019999 -0.005542218 0.06542438 0.04049998 -0.002292156 0.06470268 0.04019999 4.57727e-4 0.0632593 0.04049998 -0.003542244 0.06123852 0.04049998 -0.005542218 0.06123852 0.04019999 -0.00154227 0.06470257 0.04049998 -0.007542133 0.06123852 0.04019999 -0.005542218 0.06542438 0.04049998 -0.004792273 0.06398099 0.04049998 -0.004792273 0.06470268 0.04019999 -0.007542252 0.06614607 0.03869998 -0.003542244 0.06542438 0.03869998 -0.002292156 0.06542438 0.03869998 -0.004792273 0.06398099 0.03869998 -0.004792273 0.0632593 0.03869998 -0.003542244 0.06398099 0.03869998 -0.002292156 0.06297063 0.03819996 -0.004542231 0.06277084 0.03819996 -0.003024578 0.06570267 0.03819996 -0.005274236 0.06418502 0.03819996 -0.00547409 0.06663453 0.03819996 -0.004059851 0.06643474 0.03819996 -0.002542257 0.06297063 0.03609997 -0.004542231 0.0637027 0.03609997 -0.001810193 0.06570267 0.03609997 -0.005274236 0.06643474 0.03609997 -0.002542257 0.06522029 0.03819996 -0.001610398 0.06327372 0.03609997 -0.004367232 0.0638777 0.03609997 -0.002113223 0.06552767 0.03609997 -0.004971206 0.06613165 0.03609997 -0.002717256 0.0637027 0.03819996 -0.001810193 0.06613165 0.03049999 -0.002717256 0.06552767 0.03049999 -0.004971206 0.0638777 0.03049999 -0.002113223 0.06327372 0.03049999 -0.004367232 0.08245629 -0.04049998 -0.001542091 0.08245629 -0.04049998 -0.005542278 0.08592033 -0.04049998 -0.007542252 0.08592033 -0.04019999 -0.007542252 0.08447694 -0.04049998 -0.003542244 0.08664202 -0.04049998 -0.004792273 0.08938431 -0.04049998 -0.005542278 0.08938443 -0.04019999 -0.005542218 0.08519864 -0.04049998 -0.004792273 0.08245623 -0.04019999 -0.005542218 0.08519864 -0.04049998 -0.002292156 0.08592033 -0.04049998 4.57727e-4 0.08245623 -0.04019999 -0.00154227 0.08938431 -0.04049998 -0.001542091 0.08592033 -0.04019999 4.57727e-4 0.08736366 -0.04049998 -0.003542244 0.08664202 -0.04049998 -0.002292156 0.08938443 -0.04019999 -0.00154227 0.08664202 -0.03869998 -0.004792273 0.08519864 -0.03869998 -0.004792273 0.08736366 -0.03869998 -0.003542244 0.08664202 -0.03869998 -0.002292156 0.08519864 -0.03869998 -0.002292156 0.08447694 -0.03869998 -0.003542244 0.08592033 -0.03819996 -0.00154227 0.08450609 -0.03819996 -0.002128005 0.0879203 -0.03819996 -0.003542244 0.08733451 -0.03819996 -0.002128005 0.08733451 -0.03819996 -0.004956424 0.08592033 -0.03819996 -0.005542218 0.08592033 -0.03609997 -0.00154227 0.0839203 -0.03609997 -0.003542244 0.0879203 -0.03609997 -0.003542244 0.08592033 -0.03609997 -0.005542218 0.08450609 -0.03819996 -0.004956424 0.08592033 -0.03609997 -0.001892209 0.08427029 -0.03609997 -0.003542244 0.0875703 -0.03609997 -0.003542244 0.08592033 -0.03609997 -0.00519222 0.0839203 -0.03819996 -0.003542244 0.08592033 -0.03049999 -0.00519222 0.0875703 -0.03049999 -0.003542244 0.08427029 -0.03049999 -0.003542244 0.08592033 -0.03049999 -0.001892209 0.06470257 -0.04049998 -0.007542133 0.06816685 -0.04049998 -0.005542099 0.06816679 -0.04049998 -0.00154227 0.06816679 -0.04019999 -0.00154227 0.06542438 -0.04049998 -0.004792273 0.06542438 -0.04049998 -0.002292156 0.0647028 -0.04049998 4.57696e-4 0.06470268 -0.04019999 4.57727e-4 0.06614607 -0.04049998 -0.003542244 0.06816679 -0.04019999 -0.005542218 0.06398099 -0.04049998 -0.004792273 0.06123852 -0.04049998 -0.005542218 0.06470268 -0.04019999 -0.007542252 0.06123846 -0.04049998 -0.001542389 0.06123852 -0.04019999 -0.005542218 0.06398099 -0.04049998 -0.002292156 0.0632593 -0.04049998 -0.003542244 0.06123852 -0.04019999 -0.00154227 0.06542438 -0.03869998 -0.002292156 0.06614607 -0.03869998 -0.003542244 0.06398099 -0.03869998 -0.002292156 0.0632593 -0.03869998 -0.003542244 0.06398099 -0.03869998 -0.004792273 0.06542438 -0.03869998 -0.004792273 0.06297063 -0.03819996 -0.004542231 0.06418502 -0.03819996 -0.00547409 0.0637027 -0.03819996 -0.001810193 0.06277084 -0.03819996 -0.003024578 0.06522029 -0.03819996 -0.001610398 0.06643474 -0.03819996 -0.002542257 0.06297063 -0.03609997 -0.004542231 0.06570267 -0.03609997 -0.005274236 0.0637027 -0.03609997 -0.001810193 0.06643474 -0.03609997 -0.002542257 0.06663453 -0.03819996 -0.004059851 0.06327372 -0.03609997 -0.004367232 0.06552767 -0.03609997 -0.004971206 0.0638777 -0.03609997 -0.002113223 0.06613165 -0.03609997 -0.002717256 0.06570267 -0.03819996 -0.005274236 0.06613165 -0.03049999 -0.002717256 0.0638777 -0.03049999 -0.002113223 0.06552767 -0.03049999 -0.004971206 0.06327372 -0.03049999 -0.004367232 0.07877564 -0.04049998 -0.0199173 0.07531136 -0.04049998 -0.01791727 0.07184737 -0.04049998 -0.01991719 0.07184737 -0.04019999 -0.01991719 0.07603317 -0.04049998 -0.02066725 0.07386809 -0.04049998 -0.02191722 0.07184737 -0.04049998 -0.02391707 0.07184737 -0.04019999 -0.02391719 0.07458978 -0.04049998 -0.02066725 0.07531148 -0.04019999 -0.01791727 0.07675486 -0.04049998 -0.02191722 0.07877558 -0.04049998 -0.02391719 0.07877558 -0.04019999 -0.01991719 0.07531166 -0.04049998 -0.02591723 0.07877558 -0.04019999 -0.02391719 0.07458978 -0.04049998 -0.02316725 0.07603317 -0.04049998 -0.02316725 0.07531148 -0.04019999 -0.02591723 0.07386809 -0.03869998 -0.02191722 0.07458978 -0.03869998 -0.02066725 0.07458978 -0.03869998 -0.02316725 0.07603317 -0.03869998 -0.02316725 0.07675486 -0.03869998 -0.02191722 0.07603317 -0.03869998 -0.02066725 0.07704353 -0.03819996 -0.02291727 0.07724332 -0.03819996 -0.02139955 0.07431149 -0.03819996 -0.02364927 0.07582914 -0.03819996 -0.02384907 0.07337963 -0.03819996 -0.02243489 0.07357943 -0.03819996 -0.02091717 0.07704353 -0.03609997 -0.02291727 0.07631152 -0.03609997 -0.02018517 0.07431149 -0.03609997 -0.02364927 0.07357943 -0.03609997 -0.02091717 0.07479387 -0.03819996 -0.01998531 0.07674044 -0.03609997 -0.02274227 0.07613646 -0.03609997 -0.02048832 0.07448649 -0.03609997 -0.02334618 0.07388257 -0.03609997 -0.02109223 0.07631152 -0.03819996 -0.02018517 0.07388257 -0.03049999 -0.02109223 0.07448649 -0.03049999 -0.02334618 0.07613646 -0.03049999 -0.02048832 0.07674044 -0.03049999 -0.02274227 0.08938431 0.04049998 -0.001542091 0.08938431 0.04049998 -0.005542278 0.08592033 0.04049998 -0.007542252 0.08592033 0.04019999 -0.007542252 0.08736366 0.04049998 -0.003542244 0.08519864 0.04049998 -0.004792273 0.08245629 0.04049998 -0.005542278 0.08245623 0.04019999 -0.005542218 0.08664202 0.04049998 -0.004792273 0.08938443 0.04019999 -0.005542218 0.08664202 0.04049998 -0.002292156 0.08592033 0.04049998 4.57727e-4 0.08938443 0.04019999 -0.00154227 0.08245629 0.04049998 -0.001542091 0.08592033 0.04019999 4.57727e-4 0.08447694 0.04049998 -0.003542244 0.08519864 0.04049998 -0.002292156 0.08245623 0.04019999 -0.00154227 0.08519864 0.03869998 -0.004792273 0.08664202 0.03869998 -0.004792273 0.08447694 0.03869998 -0.003542244 0.08519864 0.03869998 -0.002292156 0.08664202 0.03869998 -0.002292156 0.08736366 0.03869998 -0.003542244 0.08592033 0.03819996 -0.00154227 0.08733451 0.03819996 -0.002128005 0.0839203 0.03819996 -0.003542244 0.08450609 0.03819996 -0.002128005 0.08450609 0.03819996 -0.004956424 0.08592033 0.03819996 -0.005542218 0.08592033 0.03609997 -0.00154227 0.0879203 0.03609997 -0.003542244 0.0839203 0.03609997 -0.003542244 0.08592033 0.03609997 -0.005542218 0.08733451 0.03819996 -0.004956424 0.08592033 0.03609997 -0.001892209 0.0875703 0.03609997 -0.003542244 0.08427029 0.03609997 -0.003542244 0.08592033 0.03609997 -0.00519222 0.0879203 0.03819996 -0.003542244 0.08592033 0.03049999 -0.00519222 0.08427029 0.03049999 -0.003542244 0.0875703 0.03049999 -0.003542244 0.08592033 0.03049999 -0.001892209</float_array>
+ <technique_common>
+ <accessor source="#wrist_r-mesh-positions-array" count="5395" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="wrist_r-mesh-normals">
+ <float_array id="wrist_r-mesh-normals-array" count="33024">0 0 1 -0.4999759 0.8660393 0 0 0 1 -0.8660393 0.4999759 1.84179e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660367 0.4999805 0 0 0 1 0 1 2.98023e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.4999805 0.8660367 1.83898e-5 0 0 1 0.4999759 0.8660393 1.24973e-4 0 0 1 0 0 1 3.9011e-5 1 -1.05222e-4 0.8660393 0.4999759 -4.07103e-5 0.5000173 0.8660154 -4.07258e-5 0 0 1 1 0 -1.05239e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8660154 0.5000173 1.25067e-4 0 0 1 0.8660393 -0.4999759 1.84179e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 3.9011e-5 2.98028e-5 0 0 1 0.4999759 -0.8660393 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8660367 -0.4999805 0 0 0 1 0 -1 2.98023e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.4999805 -0.8660367 1.83898e-5 0 0 1 -0.4999759 -0.8660393 1.24973e-4 0 0 1 0 0 1 -3.9011e-5 -1 -1.05222e-4 -0.8660393 -0.4999759 -4.07103e-5 -0.5000173 -0.8660154 -4.07258e-5 0 0 1 -1 0 -1.05239e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.8660154 -0.5000173 1.25067e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1 -3.9011e-5 2.98028e-5 0 0 1 -0.9659232 0.2588288 0 0 0 1 -0.2588253 0.9659242 0 -0.2588253 0.9659242 0 0 0 1 -0.7071062 -0.7071074 0 -0.9659232 0.2588288 0 0.2588253 -0.9659241 0 0 0 1 -0.7071062 -0.7071074 0 0.9659232 -0.2588291 0 0.2588253 -0.9659241 0 0.7071062 0.7071074 0 0.9659232 -0.2588291 0 0 0 1 0.7071062 0.7071074 0 0 0 1 -0.5000061 0.866022 0 0 0 1 0.4999901 0.8660312 0 0 0 1 0 0 1 0.4999901 0.8660312 0 0 0 1 -1 0 0 0 0 1 0 0 1 -0.5000061 0.866022 0 -0.5000069 -0.8660214 0 0 0 1 0 0 1 -1 0 0 0.4999909 -0.8660306 0 -0.5000069 -0.8660214 0 0 0 1 1 0 0 0.4999909 -0.8660306 0 1 0 0 0 0 1 0.2588288 0.9659232 0 0 0 1 0.9659242 0.2588253 0 0 0 1 0 0 1 0.9659242 0.2588253 0 -0.7071074 0.7071062 0 0.2588288 0.9659232 0 -0.9659241 -0.2588253 0 -0.7071074 0.7071062 0 0 0 1 -0.2588291 -0.9659232 0 0 0 1 -0.9659241 -0.2588253 0 0 0 1 0.7071074 -0.7071062 0 0 0 1 0 0 1 -0.2588291 -0.9659232 0 0 0 1 0.7071074 -0.7071062 0 0 0 1 0.866022 0.5000061 0 0 0 1 0.8660312 -0.4999901 0 0 0 1 0.8660312 -0.4999901 0 0 0 1 0 1 0 0.866022 0.5000061 0 -0.8660214 0.5000069 0 0 0 1 0 0 1 0 1 0 -0.8660306 -0.4999909 0 -0.8660214 0.5000069 0 0 0 1 0 -1 0 -0.8660306 -0.4999909 0 0 -1 0 0 0 1 0.9659232 -0.2588288 0 0 0 1 0.2588253 -0.9659242 0 0.2588253 -0.9659242 0 0 0 1 0.7071062 0.7071074 0 0.9659232 -0.2588288 0 -0.2588253 0.9659241 0 0 0 1 0.7071062 0.7071074 0 -0.9659232 0.2588291 0 -0.2588253 0.9659241 0 -0.7071062 -0.7071074 0 -0.9659232 0.2588291 0 0 0 1 -0.7071062 -0.7071074 0 0 0 1 0.5000061 -0.866022 0 0 0 1 -0.4999901 -0.8660312 0 0 0 1 0 0 1 -0.4999901 -0.8660312 0 0 0 1 1 0 0 0 0 1 0 0 1 0.5000061 -0.866022 0 0.5000069 0.8660214 0 0 0 1 0 0 1 1 0 0 -0.4999909 0.8660306 0 0.5000069 0.8660214 0 0 0 1 -1 0 0 -0.4999909 0.8660306 0 -1 0 0 0 0 1 -0.2588288 -0.9659232 0 0 0 1 -0.9659242 -0.2588253 0 0 0 1 0 0 1 -0.9659242 -0.2588253 0 0.7071074 -0.7071062 0 -0.2588288 -0.9659232 0 0.9659241 0.2588253 0 0.7071074 -0.7071062 0 0 0 1 0.2588291 0.9659232 0 0 0 1 0.9659241 0.2588253 0 0 0 1 -0.7071074 0.7071062 0 0 0 1 0 0 1 0.2588291 0.9659232 0 0 0 1 -0.7071074 0.7071062 0 0 0 1 -0.866022 -0.5000061 0 0 0 1 -0.8660312 0.4999901 0 0 0 1 -0.8660312 0.4999901 0 0 0 1 0 -1 0 -0.866022 -0.5000061 0 0.8660214 -0.5000069 0 0 0 1 0 0 1 0 -1 0 0.8660306 0.4999909 0 0.8660214 -0.5000069 0 0 0 1 0 1 0 0.8660306 0.4999909 0 0 1 0 -0.2588521 -0.965917 0 -0.9659174 -0.2588506 1.15716e-5 -0.9659299 -0.2588037 0 0.707107 -0.7071065 -3.53852e-5 -0.2588286 -0.9659233 5.78616e-6 0.9659171 0.2588517 1.18471e-5 0.707116 -0.7070976 -3.23625e-5 0 0 1 0.2588528 0.9659168 0 0.9659299 0.2588037 0 0 0 1 -0.7071052 0.7071084 -3.52597e-5 0 0 1 0.2588286 0.9659233 5.95394e-6 -0.707116 0.7070976 -3.16099e-5 -0.965917 0.2588521 0 -0.2588506 0.9659174 1.15716e-5 -0.2588037 0.9659299 0 -0.7071065 -0.707107 -3.53852e-5 -0.9659233 0.2588286 5.78616e-6 0.2588517 -0.9659171 1.18471e-5 -0.7070976 -0.707116 -3.23625e-5 0 0 1 0.9659168 -0.2588528 0 0.2588037 -0.9659299 0 0 0 1 0.7071084 0.7071052 -3.52597e-5 0.9659233 -0.2588286 5.95394e-6 0.7070976 0.707116 -3.16099e-5 0.2588521 0.965917 0 0.9659174 0.2588506 1.15716e-5 0.9659299 0.2588037 0 -0.707107 0.7071065 -3.53852e-5 0.2588286 0.9659233 5.78616e-6 -0.9659171 -0.2588517 1.18471e-5 -0.707116 0.7070976 -3.23625e-5 0 0 1 -0.2588528 -0.9659168 0 -0.9659299 -0.2588037 0 0 0 1 0.7071052 -0.7071084 -3.52597e-5 0 0 1 -0.2588286 -0.9659233 5.95394e-6 0.707116 -0.7070976 -3.16099e-5 0.965917 -0.2588521 0 0.2588506 -0.9659174 1.15716e-5 0.2588037 -0.9659299 0 0.7071065 0.707107 -3.53852e-5 0.9659233 -0.2588286 5.78616e-6 -0.2588517 0.9659171 1.18471e-5 0.7070976 0.707116 -3.23625e-5 0 0 1 -0.9659168 0.2588528 0 -0.2588037 0.9659299 0 0 0 1 -0.7071084 -0.7071052 -3.52597e-5 -0.9659233 0.2588286 5.95394e-6 -0.7070976 -0.707116 -3.16099e-5 -0.181627 0.9833675 0 -0.1138337 0.9934377 -0.011114 -0.1961472 0.9805744 0 0.181627 0.9833676 2.05924e-6 -0.1844649 0.9828391 -2.09164e-6 -0.1803627 0.9835959 -0.002893507 0.1138407 0.9934991 0 0.18163 0.983367 0 -0.3786997 0.9254523 -0.01116693 0.1961204 0.9804401 -0.01655125 -0.1370332 0.9905505 0.005613446 -0.6537525 0.7567085 0 -0.5274683 0.8495747 0 -0.3785458 0.9255149 -0.01118898 -0.7567034 0.6537584 0 -0.6537525 0.7567085 0 -0.9255099 0.3787232 0 -0.7567034 0.6537584 0 -0.9934377 -0.1138337 -0.011114 -0.8491098 0.5271797 -0.03307926 -0.9255152 0.378546 -0.01115596 -0.9905505 0.1370332 0.005613446 -0.9833675 -0.181627 0 -0.9805744 -0.1961472 0 -0.9833676 0.181627 -2.05924e-6 -0.9833673 -0.1816279 2.05925e-6 -0.9934991 0.1138407 0 -0.983368 0.181624 0 -0.9254523 -0.3786997 -0.01116693 -0.9804401 0.1961204 -0.01655125 -0.9905505 -0.1370332 0.005613446 -0.7567085 -0.6537525 0 -0.8495747 -0.5274683 0 -0.9255149 -0.3785458 -0.01118898 -0.6537584 -0.7567034 0 -0.7567085 -0.6537525 0 -0.3787232 -0.9255099 0 -0.6537584 -0.7567034 0 0.1138337 -0.9934377 -0.011114 -0.5271797 -0.8491098 -0.03307926 -0.378546 -0.9255152 -0.01115596 -0.1370332 -0.9905505 0.005613446 0.181627 -0.9833675 0 0.1961472 -0.9805744 0 -0.181627 -0.9833676 2.05924e-6 0.1844649 -0.9828391 -2.09164e-6 0.1803627 -0.9835959 -0.002893507 -0.1138407 -0.9934991 0 -0.18163 -0.983367 0 0.3786997 -0.9254523 -0.01116693 -0.1961204 -0.9804401 -0.01655125 0.1370332 -0.9905505 0.005613446 0.6537525 -0.7567085 0 0.5274683 -0.8495747 0 0.3785458 -0.9255149 -0.01118898 0.7567034 -0.6537584 0 0.6537525 -0.7567085 0 0.9255099 -0.3787232 0 0.7567034 -0.6537584 0 0.9934377 0.1138337 -0.011114 0.8491098 -0.5271797 -0.03307926 0.9255152 -0.378546 -0.01115596 0.9905505 -0.1370332 0.005613446 0.9833675 0.181627 0 0.9805744 0.1961472 0 0.9833676 -0.181627 2.05924e-6 0.9828391 0.1844649 -2.09164e-6 0.9835959 0.1803627 -0.002893507 0.9934991 -0.1138407 0 0.983367 -0.18163 0 0.9254523 0.3786997 -0.01116693 0.9804401 -0.1961204 -0.01655125 0.9905505 0.1370332 0.005613446 0.7567085 0.6537525 0 0.8495747 0.5274683 0 0.9255149 0.3785458 -0.01118898 0.6537584 0.7567034 0 0.7567085 0.6537525 0 0.3787232 0.9255099 0 0.6537584 0.7567034 0 0.5271797 0.8491098 -0.03307926 0.378546 0.9255152 -0.01115596 0.1370332 0.9905505 0.005613446 0 0 -1 0.2588177 -0.9659262 0 0 0 -1 0.9659262 -0.2588177 -2.8473e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9659431 -0.2587544 0 0 0 -1 -0.7071068 -0.7071068 2.56261e-5 0 0 -1 0.2587544 -0.9659431 -2.84685e-5 0 0 -1 -0.9659262 0.2588177 7.12175e-5 0 0 -1 0 0 -1 0 0 -1 -0.7072677 -0.7069459 -7.32781e-5 0 0 -1 -0.2588177 0.9659262 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9658837 0.2589759 0 0 0 -1 0.7071068 0.7071068 2.56243e-5 0 0 -1 0.7069459 0.7072677 -7.32781e-5 -0.2589759 0.9658837 7.12381e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660374 -0.4999791 0 0 0 -1 0.4999791 -0.8660374 1.0042e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.4999707 -0.8660423 0 0 0 -1 1 4.63479e-5 1.43054e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660423 -0.4999707 1.00421e-5 0 0 -1 0.8660158 0.5000166 3.52481e-5 0 0 -1 1 0 -3.36768e-5 0 0 -1 0.5000166 0.8660158 -1.95414e-5 0 0 -1 0 0 -1 0.8660423 0.4999707 -1.95411e-5 0 0 -1 4.63479e-5 1 -3.36708e-5 0 0 -1 0 0 -1 0.4999707 0.8660423 3.52413e-5 0 0 -1 -0.4999791 0.8660374 1.0042e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 1.43052e-5 0 0 -1 -0.8660374 0.4999791 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4999707 0.8660423 0 0 0 -1 -1 -4.63479e-5 1.43054e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8660423 0.4999707 1.00298e-5 0 0 -1 -0.8660158 -0.5000166 3.52481e-5 0 0 -1 -1 0 -3.36768e-5 0 0 -1 -0.5000166 -0.8660158 -1.95414e-5 0 0 -1 0 0 -1 -0.8660423 -0.4999707 -1.95411e-5 0 0 -1 -4.63479e-5 -1 -3.36708e-5 0 0 -1 0 0 -1 -0.4999707 -0.8660423 3.52413e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 1.43052e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3058733 0.9520722 0 -0.3585325 0.9335172 -2.22701e-5 -0.3611988 0.9324889 0 0 0 -1 0.9943736 -0.1032326 0.02375018 0 0 -1 -0.1730067 0.9819491 0.07645028 0.7830953 0.6217333 -0.01447325 0.2159739 0.975782 0.03470706 0 0 -1 0.7071072 -0.7071064 0 0 0 -1 0.7071072 -0.7071064 0 0.9553848 -0.2953639 0 0 0 -1 0.4706432 -0.8823237 0 0 0 -1 0 0 -1 -0.1000682 -0.9949806 0 0 0 -1 0.4706432 -0.8823237 0 0 0 -1 -0.1964845 -0.980507 0 0 0 -1 -0.1000682 -0.9949806 0 0.1964845 -0.980507 0 0 0 -1 -0.1964845 -0.980507 0 0.1000682 -0.9949806 0 0.1964845 -0.980507 0 -0.4706432 -0.8823237 0 0.1000682 -0.9949806 0 -0.7071072 -0.7071064 0 -0.7071072 -0.7071064 0 -0.4706432 -0.8823237 0 -0.9946542 -0.1032617 0 -0.3057494 0.9516866 0.02845907 -0.9548936 -0.295212 0.03206044 -0.7830953 0.6217333 -0.01447325 0.1844708 0.982838 0 0.1735146 0.9848313 0 -0.2160633 0.9761855 0.01945304 0.3529111 0.9188787 -0.1763964 0.3553625 0.9174217 -0.1790389 0.9520722 -0.3058733 0 0.9335172 0.3585325 -2.22701e-5 0.9324889 0.3611988 0 -0.1032326 -0.9943736 0.02375018 0.9819491 0.1730067 0.07645028 0.6217333 -0.7830953 -0.01447325 0.975782 -0.2159739 0.03470706 -0.7071064 -0.7071072 0 -0.7071064 -0.7071072 0 -0.2953639 -0.9553848 0 -0.8823237 -0.4706432 0 -0.9949806 0.1000682 0 -0.8823237 -0.4706432 0 -0.980507 0.1964845 0 -0.9949806 0.1000682 0 -0.980507 -0.1964845 0 -0.980507 0.1964845 0 -0.9949806 -0.1000682 0 -0.980507 -0.1964845 0 -0.8823237 0.4706432 0 -0.9949806 -0.1000682 0 -0.7071064 0.7071072 0 -0.7071064 0.7071072 0 -0.8823237 0.4706432 0 -0.1032617 0.9946542 0 0.9516866 0.3057494 0.02845907 -0.295212 0.9548936 0.03206044 0.6217333 0.7830953 -0.01447325 0.982838 -0.1844708 0 0.9848313 -0.1735146 0 0.9761855 0.2160633 0.01945304 0.9188787 -0.3529111 -0.1763964 0.9174217 -0.3553625 -0.1790389 -0.3058733 -0.9520722 0 0.3585325 -0.9335172 -2.22701e-5 0.3611988 -0.9324889 0 0 0 -1 -0.9943736 0.1032326 0.02375018 0 0 -1 0.1730067 -0.9819491 0.07645028 -0.7830953 -0.6217333 -0.01447325 -0.2159739 -0.975782 0.03470706 0 0 -1 -0.7071072 0.7071064 0 0 0 -1 -0.7071072 0.7071064 0 -0.9553848 0.2953639 0 0 0 -1 -0.4706432 0.8823237 0 0 0 -1 0 0 -1 0.1000682 0.9949806 0 0 0 -1 -0.4706432 0.8823237 0 0 0 -1 0.1964845 0.980507 0 0 0 -1 0.1000682 0.9949806 0 -0.1964845 0.980507 0 0 0 -1 0.1964845 0.980507 0 -0.1000682 0.9949806 0 -0.1964845 0.980507 0 0.4706432 0.8823237 0 -0.1000682 0.9949806 0 0.7071072 0.7071064 0 0.7071072 0.7071064 0 0.4706432 0.8823237 0 0.9946542 0.1032617 0 0.3057494 -0.9516866 0.02845907 0.9548936 0.295212 0.03206044 0.7830953 -0.6217333 -0.01447325 -0.1844708 -0.982838 0 -0.1735146 -0.9848313 0 0.2160633 -0.9761855 0.01945304 -0.3529111 -0.9188787 -0.1763964 -0.3553625 -0.9174217 -0.1790389 0.1032617 -0.9946542 0 0.7071064 -0.7071072 0 -0.9516866 -0.3057494 0.02845907 0.295212 -0.9548936 0.03206044 -0.6217333 -0.7830953 -0.01447325 -0.9828391 0.1844649 0 -0.9848313 0.1735146 0 -0.9761855 -0.2160633 0.01945304 -0.9828339 -0.1844701 -0.002829551 -0.9174199 0.3553618 -0.1790501 -0.918877 0.3529097 -0.1764078 -0.9520722 0.3058733 0 -0.9335172 -0.3585325 -2.22701e-5 -0.9324889 -0.3611988 0 0.1032326 0.9943736 0.02375018 -0.9819491 -0.1730067 0.07645028 -0.6217333 0.7830953 -0.01447325 -0.975782 0.2159739 0.03470706 0.7071064 0.7071072 0 0.7071064 0.7071072 0 0.2953639 0.9553848 0 0.8823237 0.4706432 0 0.9949806 -0.1000682 0 0.8823237 0.4706432 0 0.9805055 -0.1964917 0 0.9949806 -0.1000682 0 0.9805084 0.1964773 -2.38595e-6 0.980507 -0.1964845 2.38826e-6 0.9949806 0.1000682 0 0.980507 0.1964845 0 0.8823237 -0.4706432 0 0.9949806 0.1000682 0 0.7071064 -0.7071072 0 0.8823237 -0.4706432 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.382402 -0.923996 0 -0.9239841 -0.3824306 -5.00747e-4 -0.9238588 -0.3827332 0 0.3824301 -0.9239843 4.36755e-4 -0.3827999 -0.9238311 -6.59296e-4 0.9239842 -0.3824301 6.21701e-4 0.3825417 -0.923938 6.21733e-4 0.9239958 0.382402 -6.58722e-4 0.9239382 -0.3825417 4.3692e-4 0.3824307 0.9239841 0 0.9238312 0.3827999 0 -0.3824025 0.9239957 5.0071e-4 0.3827332 0.9238588 -5.01143e-4 -0.9239955 0.3824024 7.78638e-4 -0.3825701 0.9239261 7.78696e-4 -0.9239263 0.3825702 5.00929e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2080161 -0.3310563 0.9203972 0 0 1 0.6062604 -0.380938 0.6980935 0 0 1 0.3437476 -0.1943489 0.9187307 0 0 1 0.1578444 -0.691546 0.7048754 0 0 1 0.4781246 -0.7952104 0.3728773 0.3809387 -0.6062604 0.6980933 0 0 1 0 -0.3994686 -0.9167469 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.2365061 -0.6758984 0.698016 0 0 1 0 0 1 0 0 1 0.08017396 -0.7115774 0.6980183 -0.5063141 -0.5063141 0.698063 -0.2364982 -0.67588 0.6980364 0 0 1 -0.6758794 -0.2364994 0.6980366 0 0 1 -0.5063142 -0.5063142 0.698063 0 0 1 -0.7093887 0 0.7048177 0 0 1 0 0 1 0 0 1 -0.6758987 -0.2365047 0.6980162 0 0 1 -0.3894373 0.08888852 -0.9167538 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.6062604 0.380938 0.6980935 0 0 1 -0.711528 0.08016836 0.6980694 0 0 1 -0.2080161 0.3310563 0.9203972 0 0 1 -0.3437475 0.1943488 0.9187307 0 0 1 -0.1578444 0.691546 0.7048754 0 0 1 -0.3809385 0.6062601 0.6980934 -0.4781246 0.7952104 0.3728773 0 0 1 0 0.3994686 -0.9167469 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.2365061 0.6758984 0.698016 0 0 1 0 0 1 0 0 1 -0.08017396 0.7115774 0.6980183 0.5063141 0.5063141 0.698063 0.2364982 0.67588 0.6980364 0 0 1 0.6758794 0.2364994 0.6980366 0 0 1 0.5063142 0.5063142 0.698063 0 0 1 0.7093887 0 0.7048177 0 0 1 0 0 1 0 0 1 0.6758987 0.2365047 0.6980162 0 0 1 0.3894373 -0.08888852 -0.9167538 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.711528 -0.08016836 0.6980694 -0.8467238 0.5320329 0 -0.5320329 0.8467238 0 -0.5320329 0.8467238 0 0 0 1 -0.9937116 0.1119703 0 0 0 1 -0.8467238 0.5320329 0 -0.9438821 -0.3302828 0 0 0 1 0 0 1 0 0 1 -0.9937116 0.1119703 0 -0.7071068 -0.7071068 0 -0.9438821 -0.3302828 0 0 0 1 -0.3302828 -0.9438821 0 0 0 1 -0.7071068 -0.7071068 0 0.1119703 -0.9937116 0 0 0 1 0 0 1 0 0 1 -0.3302828 -0.9438821 0 0.5320329 -0.8467238 0 0.1119703 -0.9937116 0 0.8467238 -0.5320329 0 0.5320329 -0.8467238 0 0 0 1 0.9937116 -0.1119703 0 0 0 1 0.8467238 -0.5320329 0 0.9438821 0.3302828 0 0 0 1 0 0 1 0 0 1 0.9937116 -0.1119703 0 0.7071068 0.7071068 0 0.9438821 0.3302828 0 0 0 1 0.3302828 0.9438821 0 0 0 1 0.7071068 0.7071068 0 -0.1119703 0.9937116 0 0 0 1 0 0 1 0 0 1 0.3302828 0.9438821 0 -0.1119703 0.9937116 0 0.9238341 -0.3827932 0 0.3828232 -0.9238216 9.65285e-5 0.3827067 -0.9238699 0 0.9239335 0.382553 -4.38761e-4 0.9238755 -0.3826935 8.25327e-5 0.3825874 0.9239192 -3.1965e-4 0.9238738 0.3826971 -3.19395e-4 -0.3828203 0.9238229 9.40681e-5 0.3827067 0.9238698 -4.18487e-4 -0.9238336 0.3827944 0 -0.3827067 0.9238699 0 -0.9239477 -0.3825186 -4.36705e-4 -0.9238739 0.3826972 8.05015e-5 -0.3825103 -0.9239511 -2.53257e-4 -0.9238753 -0.3826934 -2.919e-4 -0.3827067 -0.9238698 -4.16028e-4 0.9238229 -0.3828203 0 0.3827944 -0.9238336 8.0575e-5 0.3826972 -0.9238739 0 0.9239192 0.3825874 -4.18416e-4 0.9238699 -0.3827067 9.3992e-5 0.3825531 0.9239336 -3.19375e-4 0.9238699 0.3827067 -3.19667e-4 -0.3827932 0.9238341 8.26112e-5 0.3826971 0.9238738 -4.38848e-4 -0.9238216 0.3828232 0 -0.3826935 0.9238755 0 -0.9239511 -0.3825103 -4.15911e-4 -0.9238699 0.3827067 9.64421e-5 -0.3825186 -0.9239477 -2.91887e-4 -0.9238699 -0.3827067 -2.53291e-4 -0.3826934 -0.9238753 -4.36809e-4 0.9238336 -0.3827944 0 0.3828203 -0.9238229 9.40681e-5 0.3827067 -0.9238699 0 0.9239477 0.3825186 -4.36705e-4 0.9238739 -0.3826972 8.05062e-5 0.3825103 0.9239511 -2.53257e-4 0.9238753 0.3826934 -2.919e-4 -0.3828232 0.9238216 9.65285e-5 0.3827067 0.9238698 -4.16028e-4 -0.9238341 0.3827932 0 -0.3827067 0.9238699 0 -0.9239335 -0.382553 -4.38761e-4 -0.9238755 0.3826935 8.25353e-5 -0.3825874 -0.9239192 -3.1965e-4 -0.9238738 -0.3826971 -3.19395e-4 -0.3827067 -0.9238698 -4.18487e-4 0.9238216 -0.3828232 0 0.3827932 -0.9238341 8.26112e-5 0.3826935 -0.9238755 0 0.9239511 0.3825103 -4.15911e-4 0.9238699 -0.3827067 9.6455e-5 0.3825186 0.9239477 -2.91887e-4 0.9238699 0.3827067 -2.53291e-4 -0.3827944 0.9238336 8.0575e-5 0.3826934 0.9238753 -4.36809e-4 -0.9238229 0.3828203 0 -0.3826972 0.9238739 0 -0.9239192 -0.3825874 -4.18416e-4 -0.9238699 0.3827067 9.39838e-5 -0.3825531 -0.9239336 -3.19375e-4 -0.9238699 -0.3827067 -3.19667e-4 -0.3826971 -0.9238738 -4.38848e-4 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.8467239 -0.5320325 0 0.5320325 -0.8467239 0 0.5320325 -0.8467239 0 0.9937116 -0.11197 0 0.8467239 -0.5320325 0 0.9438813 0.330285 0 0.9937116 -0.11197 0 0.7071068 0.7071068 0 0.9438813 0.330285 0 0.330285 0.9438813 0 0.7071068 0.7071068 0 -0.11197 0.9937116 0 0.330285 0.9438813 0 -0.5320325 0.8467239 0 -0.11197 0.9937116 0 -0.8467239 0.5320325 0 -0.5320325 0.8467239 0 -0.9937116 0.11197 0 -0.8467239 0.5320325 0 -0.9438813 -0.330285 0 -0.9937116 0.11197 0 -0.7071068 -0.7071068 0 -0.9438813 -0.330285 0 -0.330285 -0.9438813 0 -0.7071068 -0.7071068 0 0.11197 -0.9937116 0 -0.330285 -0.9438813 0 0.11197 -0.9937116 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3413404 0.1970738 0.9190476 -0.3596324 0.622899 0.6947383 -0.2127195 0.3267559 0.9208589 -0.7192581 0 0.694743 -0.7932866 0.4810938 0.3731555 -0.6229003 0.3596289 0.6947391 -0.622899 -0.3596324 0.6947383 -0.7192581 0 0.6947429 -0.3596569 -0.6229414 0.6946877 -0.6229437 -0.3596539 0.6946872 0 -0.7192581 0.694743 -0.3596289 -0.6229003 0.6947391 0.3596324 -0.622899 0.6947383 0 -0.7192581 0.6947429 0.3413404 -0.1970738 0.9190476 0.2127192 -0.3267555 0.920859 0.7192581 0 0.694743 0.7932866 -0.4810938 0.3731557 0.6229003 -0.3596289 0.6947391 0.622899 0.3596324 0.6947383 0.7192581 0 0.6947429 0.3596569 0.6229414 0.6946877 0.6229437 0.3596539 0.6946872 0 0.7192581 0.694743 0.3596289 0.6229003 0.6947391 0 0.7192581 0.6947429 -0.4642372 0.8040888 0.3713828 -0.8660271 0.4999971 0 -0.4999971 0.8660271 0 -0.4999971 0.8660271 0 -1 0 0 -0.8660271 0.4999971 0 -0.8660271 -0.4999971 0 -1 0 0 -0.4999971 -0.8660271 0 -0.8660271 -0.4999971 0 0 -1 0 -0.4999971 -0.8660271 0 0.4642372 -0.8040888 0.3713828 0.4999971 -0.8660271 0 0 -1 0 0.4999971 -0.8660271 0 0.8660271 -0.4999971 0 -0.8040887 0.4642372 -0.3713825 -0.4810938 0.7932867 -0.3731554 -0.3596289 0.6229004 -0.6947389 -0.7192583 0 -0.6947428 -0.3267558 0.2127195 -0.9208589 -0.622899 0.3596324 -0.6947384 -0.6229006 -0.359629 -0.6947387 -0.7192583 0 -0.6947428 -0.359654 -0.6229438 -0.694687 -0.6229414 -0.359657 -0.6946874 0 -0.7192583 -0.6947428 -0.3596324 -0.622899 -0.6947384 0.359629 -0.6229006 -0.6947387 0 -0.7192583 -0.6947428 0.4810938 -0.7932866 -0.3731555 0.8040887 -0.4642372 -0.3713825 0.8660271 -0.4999971 0 -0.1970739 0.3413404 -0.9190476 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.1970738 -0.3413404 -0.9190476 0 0 -1 0 0 -1 0.3267558 -0.2127195 -0.9208589 0 0 -1 0.6228991 -0.3596325 -0.6947382 0 0 -1 0 0 -1 0 0.7192583 -0.6947428 0 0 -1 0 0 -1 0.3596325 0.6228991 -0.6947382 0 0.7192583 -0.6947428 0 0 -1 0.6229416 0.359657 -0.6946875 0 0 -1 0 0 -1 0.359654 0.6229439 -0.694687 0 0 -1 0.7192583 0 -0.6947428 0 0 -1 0.6229006 0.359629 -0.6947387 0 0 -1 0.7192583 0 -0.6947428 0.846724 -0.5320325 0 0.5320325 -0.846724 0 0.5320325 -0.846724 0 0.9937115 -0.11197 0 0.846724 -0.5320325 0 0 0 -1 0.9438813 0.330285 0 0.9937115 -0.11197 0 0.7071068 0.7071068 0 0.9438813 0.330285 0 0.330285 0.9438813 0 0.7071068 0.7071068 0 -0.11197 0.9937115 0 0.330285 0.9438813 0 -0.5320325 0.846724 0 -0.11197 0.9937115 0 -0.846724 0.5320325 0 -0.5320325 0.846724 0 -0.9937115 0.11197 0 -0.846724 0.5320325 0 0 0 -1 -0.9438813 -0.330285 0 -0.9937115 0.11197 0 -0.7071068 -0.7071068 0 -0.9438813 -0.330285 0 -0.330285 -0.9438813 0 -0.7071068 -0.7071068 0 0.11197 -0.9937115 0 -0.330285 -0.9438813 0 0.11197 -0.9937115 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.8467237 0.5320328 0 -0.5320328 0.8467237 0 -0.5320328 0.8467237 0 -0.9937115 0.1119703 0 -0.8467237 0.5320328 0 -0.943882 -0.3302828 0 -0.9937115 0.1119703 0 -0.7071068 -0.7071068 0 -0.943882 -0.3302828 0 -0.3302828 -0.943882 0 -0.7071068 -0.7071068 0 0.1119703 -0.9937115 0 -0.3302828 -0.943882 0 0.5320328 -0.8467237 0 0.1119703 -0.9937115 0 0.8467237 -0.5320328 0 0.5320328 -0.8467237 0 0.9937115 -0.1119703 0 0.8467237 -0.5320328 0 0.943882 0.3302828 0 0.9937115 -0.1119703 0 0.7071068 0.7071068 0 0.943882 0.3302828 0 0.3302828 0.943882 0 0.7071068 0.7071068 0 -0.1119703 0.9937115 0 0.3302828 0.943882 0 -0.1119703 0.9937115 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3310563 -0.2080161 -0.9203972 0.3809381 -0.6062606 -0.6980934 0.1943488 -0.3437475 -0.9187307 0.6915461 -0.1578444 -0.7048752 0.7952107 -0.4781247 -0.3728762 0.6062604 -0.3809387 -0.6980931 0 0 -1 0.3994687 0 0.9167467 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.6758984 0.2365061 -0.6980158 0 0 -1 0.7115777 -0.08017396 -0.6980182 0.5063143 0.5063143 -0.6980629 0.67588 0.2364982 -0.6980365 0.2364995 0.6758796 -0.6980364 0.5063142 0.5063142 -0.6980631 0 0 -1 0 0.7093887 -0.7048175 0 0 -1 0.2365049 0.6758991 -0.6980158 -0.08888852 0.3894374 0.9167538 0 0 -1 0 0 -1 0 0 -1 -0.3809381 0.6062606 -0.6980934 -0.08016842 0.7115282 -0.6980692 -0.3310563 0.2080161 -0.9203972 -0.1943489 0.3437476 -0.9187307 -0.6915461 0.1578444 -0.7048752 -0.7952104 0.4781246 -0.3728771 -0.6062604 0.3809387 -0.6980931 0 0 -1 -0.3994687 0 0.9167467 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6758984 -0.2365061 -0.6980158 0 0 -1 -0.7115777 0.08017396 -0.6980182 -0.5063143 -0.5063143 -0.6980629 -0.67588 -0.2364982 -0.6980365 -0.2364995 -0.6758796 -0.6980364 -0.5063142 -0.5063142 -0.6980631 0 0 -1 0 -0.7093887 -0.7048175 0 0 -1 -0.2365049 -0.6758991 -0.6980158 0.08888852 -0.3894374 0.9167538 0 0 -1 0 0 -1 0 0 -1 0.08016842 -0.7115282 -0.6980692 0.3828232 -0.9238216 0 0.9238341 -0.3827932 -8.26112e-5 0.9238755 -0.3826935 0 -0.3825103 -0.9239511 4.15911e-4 0.3827067 -0.9238699 -9.6455e-5 -0.9239477 -0.3825186 2.91887e-4 -0.3827067 -0.9238699 2.53291e-4 -0.9238336 0.3827944 -8.0575e-5 -0.9238753 -0.3826934 4.36809e-4 -0.3828203 0.9238229 0 -0.9238739 0.3826972 0 0.3825874 0.9239192 4.18416e-4 -0.3827067 0.9238699 -9.39838e-5 0.9239336 0.3825531 3.19375e-4 0.3827067 0.9238699 3.19667e-4 0.9238738 0.3826971 4.38848e-4 0.3827944 -0.9238336 0 0.9238229 -0.3828203 -9.40681e-5 0.9238699 -0.3827067 0 -0.3825186 -0.9239477 4.36705e-4 0.3826972 -0.9238739 -8.05062e-5 -0.9239511 -0.3825103 2.53257e-4 -0.3826934 -0.9238753 2.919e-4 -0.9238216 0.3828232 -9.65285e-5 -0.9238698 -0.3827067 4.16028e-4 -0.3827932 0.9238341 0 -0.9238699 0.3827067 0 0.382553 0.9239335 4.38761e-4 -0.3826935 0.9238755 -8.25353e-5 0.9239192 0.3825874 3.1965e-4 0.3826971 0.9238738 3.19395e-4 0.9238698 0.3827067 4.18487e-4 0.3828203 -0.9238229 0 0.9238336 -0.3827944 -8.0575e-5 0.9238739 -0.3826972 0 -0.3825874 -0.9239192 4.18416e-4 0.3827067 -0.9238699 -9.3992e-5 -0.9239336 -0.3825531 3.19375e-4 -0.3827067 -0.9238699 3.19667e-4 -0.9238341 0.3827932 -8.26112e-5 -0.9238738 -0.3826971 4.38848e-4 -0.3828232 0.9238216 0 -0.9238755 0.3826935 0 0.3825103 0.9239511 4.15911e-4 -0.3827067 0.9238699 -9.64421e-5 0.9239477 0.3825186 2.91887e-4 0.3827067 0.9238699 2.53291e-4 0.9238753 0.3826934 4.36809e-4 0.3827932 -0.9238341 0 0.9238216 -0.3828232 -9.65285e-5 0.9238699 -0.3827067 0 -0.382553 -0.9239335 4.38761e-4 0.3826935 -0.9238755 -8.25327e-5 -0.9239192 -0.3825874 3.1965e-4 -0.3826971 -0.9238738 3.19395e-4 -0.9238229 0.3828203 -9.40681e-5 -0.9238698 -0.3827067 4.18487e-4 -0.3827944 0.9238336 0 -0.9238699 0.3827067 0 0.3825186 0.9239477 4.36705e-4 -0.3826972 0.9238739 -8.05015e-5 0.9239511 0.3825103 2.53257e-4 0.3826934 0.9238753 2.919e-4 0.9238698 0.3827067 4.16028e-4 0.4933395 -0.7851452 -0.3743841 0.8467242 -0.5320321 0 0.5320321 -0.8467242 0 0.5320321 -0.8467242 0 0.9937124 -0.1119623 0 0.8467242 -0.5320321 0 0.9438844 0.3302761 0 0.9937124 -0.1119623 0 0.7071068 0.7071068 0 0.9438844 0.3302761 0 0.3302761 0.9438844 0 0.7071068 0.7071068 0 -0.1119623 0.9937124 0 0.3302761 0.9438844 0 -0.4933395 0.7851452 -0.3743841 -0.5320321 0.8467242 0 -0.1119623 0.9937124 0 -0.5320321 0.8467242 0 -0.8467242 0.5320321 0 0.788869 -0.4956793 0.3633012 0.6514811 -0.661562 0.3713601 0.5313045 -0.8455662 0.0522837 0.6455271 -0.6757114 0.355962 0.5144044 -0.8425489 -0.1596853 0.9297094 -0.104751 -0.3530832 0.09422957 -0.0927937 -0.9912165 0.1026966 -0.09810912 -0.9898626 0.7966609 -0.4839025 0.3621739 0.7965596 -0.4838215 0.3625044 0.8431999 -0.5358341 0.04353857 0.8142176 -0.1554917 0.5593498 0.8092826 0.2831773 -0.5146574 0.6930192 0.1323463 0.708667 0.3697115 0.3697115 -0.8524241 0.5608374 0.3563992 0.7472891 0.7354118 0.5684732 0.3687924 0.2831774 0.8092827 -0.5146573 0.3277624 0.3179093 -0.8896659 0.4069501 0.4195628 -0.8113931 0.5684732 0.7354118 0.3687924 0.5683758 0.7353387 0.3690881 0.3563993 0.5608375 0.7472891 -0.104751 0.9297094 -0.3530833 0.1323463 0.6930192 0.708667 -0.5313045 0.8455662 0.0522837 -0.1554917 0.8142176 0.5593498 -0.5144046 0.8425491 -0.1596846 -0.6455271 0.6757114 0.355962 -0.6514811 0.661562 0.3713601 -0.788869 0.4956793 0.3633012 -0.8467242 0.5320321 0 0 0 1 0 0 1 0 0 1 -0.7070474 -0.7071661 2.44271e-4 -0.7071231 -0.7070905 0 0 0 1 -0.7071662 -0.7070474 -2.44448e-4 0.7862141 -0.4996137 -0.3636669 0.7861033 -0.4995505 -0.3639932 -0.7070905 -0.7071232 2.01545e-4 0.8142101 -0.1554902 -0.5593609 0.8425477 -0.5144033 0.159695 0.845566 -0.5313044 -0.05228543 0.6930091 0.1323444 -0.7086772 0.929706 -0.1047506 0.3530921 0.5608284 0.3563935 -0.7472987 0.8092765 0.2831752 0.5146684 0.7353386 0.5683758 0.3690881 -0.7070904 0.7071231 -2.01545e-4 0.7353381 0.568377 -0.3690873 -0.7071662 0.7070474 2.44448e-4 -0.7071231 0.7070904 2.01431e-4 0 0 1 0 0 1 0.7071661 -0.7070474 2.44271e-4 0.7070905 -0.7071231 0 0 0 1 0.7070474 -0.7071662 -2.44448e-4 0.3563935 0.5608285 -0.7472986 0.5684742 0.7354109 -0.3687925 0.5683768 0.7353377 -0.3690881 0.7071232 -0.7070905 2.01545e-4 0.1323444 0.6930091 -0.7086772 0.2831752 0.8092765 0.5146682 -0.1554902 0.8142101 -0.5593609 -0.1047506 0.929706 0.3530922 -0.4996137 0.7862141 0.3636669 -0.5358341 0.8432 -0.04353916 -0.4995505 0.7861033 0.3639931 -0.7071231 -0.7070904 -2.01545e-4 -0.4838219 0.7965594 -0.3625044 -0.7070474 -0.7071662 2.44448e-4 -0.7070904 -0.7071231 2.01431e-4 0 0 1 0 0 1 -0.09422957 0.0927937 -0.9912165 0 0 1 0.6757064 -0.6455224 -0.3559799 0 0 -1 -0.7071232 -0.7070905 -2.01431e-4 0.6615566 -0.6514758 -0.3713786 0 0 -1 0.4956756 -0.788863 -0.3633193 0.09278845 -0.09422427 0.9912175 0 0 -1 0.8467242 -0.5320321 0 0.5320321 -0.8467242 0 0.5320321 -0.8467242 0 0.9937124 -0.1119623 0 0.8467242 -0.5320321 0 0.9438843 0.3302761 0 0.9937124 -0.1119623 0 0.369696 0.369696 0.8524376 0.7071068 0.7071068 0 0.3178948 0.3277474 0.8896765 0.4195469 0.4069346 0.8114091 0.7354109 0.5684742 -0.3687925 0.9438843 0.3302761 0 0.3302761 0.9438843 0 0.7071068 0.7071068 0 -0.1119623 0.9937124 0 0.3302761 0.9438843 0 -0.4956756 0.788863 -0.3633193 -0.5320321 0.8467242 0 -0.09278845 0.09422427 0.9912175 -0.09810364 0.1026908 0.9898638 -0.4839031 0.7966604 -0.362174 -0.1119623 0.9937124 0 -0.6615566 0.6514758 -0.3713786 -0.5320321 0.8467242 0 -0.8467242 0.5320321 0 -0.8425478 0.5144034 0.1596944 -0.845566 0.5313044 -0.05228543 -0.6757064 0.6455224 -0.3559799 0 0 -1 0 0 -1 0 0 -1 -0.7071661 -0.7070473 -2.44271e-4 0 0 -1 -0.7070905 -0.7071231 0 0.7070905 -0.7071232 -2.01431e-4 0 0 -1 0 0 -1 -0.7070473 0.7071661 -2.44271e-4 0 0 -1 -0.7071231 0.7070905 0 0.785145 -0.4933394 0.3743842 -0.785145 0.4933394 0.3743842 -0.8467242 0.5320321 0 1 0 0 0.8660271 0.4999971 0 1 0 0 0.4999971 0.8660271 0 0.8660271 0.4999971 0 0 1 0 0.4999971 0.8660271 0 0 1 0 -0.9937124 0.1119623 0 -0.9438844 -0.3302761 0 -0.9937124 0.1119623 0 -0.7071068 -0.7071068 0 -0.9438844 -0.3302761 0 -0.3302761 -0.9438844 0 -0.7071068 -0.7071068 0 0.1119623 -0.9937124 0 -0.3302761 -0.9438844 0 0.1119623 -0.9937124 0 -0.9297094 0.104751 -0.3530832 -0.1026966 0.09810912 -0.9898626 -0.7966609 0.4839025 0.3621739 -0.7965596 0.4838215 0.3625044 -0.8431999 0.5358341 0.04353857 -0.8142176 0.1554917 0.5593498 -0.8092826 -0.2831773 -0.5146574 -0.6930192 -0.1323463 0.708667 -0.3697115 -0.3697115 -0.8524241 -0.5608374 -0.3563992 0.7472891 -0.7354118 -0.5684732 0.3687924 -0.2831774 -0.8092827 -0.5146573 -0.3277624 -0.3179093 -0.8896659 -0.4069501 -0.4195628 -0.8113931 -0.5684732 -0.7354118 0.3687924 -0.5683758 -0.7353387 0.3690881 -0.3563993 -0.5608375 0.7472891 0.104751 -0.9297094 -0.3530833 -0.1323463 -0.6930192 0.708667 0.1554917 -0.8142176 0.5593498 0.4995505 -0.7861033 0.3639931 0.7071231 0.7070904 -2.01545e-4 0.4996137 -0.7862141 0.3636669 0.5358341 -0.8432 -0.04353916 0.4838219 -0.7965594 -0.3625044 0.7070474 0.7071662 2.44448e-4 0.7070904 0.7071231 2.01431e-4 0 0 1 0 0 1 0.7070474 0.7071661 2.44271e-4 0.7071231 0.7070905 0 0 0 1 0.7071662 0.7070474 -2.44448e-4 -0.7862141 0.4996137 -0.3636669 -0.7861033 0.4995505 -0.3639932 0.7070905 0.7071232 2.01545e-4 -0.8142101 0.1554902 -0.5593609 -0.6930091 -0.1323444 -0.7086772 -0.929706 0.1047506 0.3530921 -0.5608284 -0.3563935 -0.7472987 -0.8092765 -0.2831752 0.5146684 -0.7353386 -0.5683758 0.3690881 0.7070904 -0.7071231 -2.01545e-4 -0.7353377 -0.5683768 -0.3690881 0.7071662 -0.7070474 2.44448e-4 0.7071231 -0.7070904 2.01431e-4 0 0 1 0 0 1 -0.7071661 0.7070474 2.44271e-4 -0.7070905 0.7071231 0 0 0 1 -0.7070474 0.7071662 -2.44448e-4 -0.3563935 -0.5608285 -0.7472986 -0.5683768 -0.7353377 -0.3690881 -0.7071232 0.7070905 2.01545e-4 -0.5684742 -0.7354109 -0.3687925 -0.1323444 -0.6930091 -0.7086772 -0.2831752 -0.8092765 0.5146682 0.1554902 -0.8142101 -0.5593609 0.1047506 -0.929706 0.3530922 -0.7070905 0.7071232 -2.01431e-4 -0.3178947 -0.3277474 0.8896767 0 0 -1 -0.3696959 -0.3696959 0.8524376 -0.419547 -0.4069347 0.8114089 0 0 -1 -0.7354109 -0.5684742 -0.3687924 0.7070473 -0.7071661 -2.44271e-4 0 0 -1 0.7071231 -0.7070905 0 0.7071232 0.7070905 -2.01431e-4 0 0 -1 -0.9937124 0.1119623 0 -0.9438843 -0.3302761 0 -0.9937124 0.1119623 0 -0.7071068 -0.7071068 0 -0.9438843 -0.3302761 0 -0.3302761 -0.9438843 0 -0.7071068 -0.7071068 0 0.1119623 -0.9937124 0 -0.3302761 -0.9438843 0 0.09810364 -0.1026908 0.9898638 0.4839031 -0.7966604 -0.362174 0.1119623 -0.9937124 0 0 0 -1 0.7071661 0.7070473 -2.44271e-4 0 0 -1 0.7070905 0.7071231 0 -0.7071068 -0.7071068 0 -0.7071068 -0.7071068 0 0.7071068 0.7071068 0 0.7071068 0.7071068 0 -0.7071068 0.7071068 0 -0.7071068 0.7071068 0 0.7071068 -0.7071068 0 0.7071068 -0.7071068 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -0.8164907 0.5773587 0 0 1 0.8165324 0 0.5772996 0.6786231 -0.2810993 0.6785674 0.2845908 0.1178833 0.9513735 -0.8164938 0 0.5773544 -0.2810872 -0.6785894 0.6786063 0.1178796 -0.2845817 0.9513766 0 0.8164907 0.5773587 -0.6785917 0.2810863 0.6786043 -0.2845831 -0.1178801 0.9513762 -0.1178785 0.2845774 0.9513781 0.2810915 0.6786031 0.6785908 0 0 -1 -0.8164628 0 -0.577398 0 0 -1 0 0.8164597 -0.5774023 -0.2810726 0.6785538 -0.6786478 0.1178675 0.2845526 -0.9513869 0 -0.8164597 -0.5774023 -0.6785563 -0.2810717 -0.6786458 -0.2845539 0.117868 -0.9513865 0.8165016 0 -0.5773433 0.2810768 -0.6785677 -0.6786323 -0.1178664 -0.2845483 -0.9513884 0.2845616 -0.1178712 -0.9513838 0.6785877 0.2810847 -0.678609 0.3826891 -0.9238773 0 0.3826891 -0.9238773 0 0.9238774 -0.3826887 0 -0.3826908 -0.9238765 0 -0.3826908 -0.9238765 0 -0.9238774 -0.3826887 0 -0.9238774 -0.3826887 0 -0.9238774 0.3826887 0 -0.9238774 0.3826887 0 -0.3826908 0.9238765 0 -0.3826908 0.9238765 0 0.9238774 -0.3826887 0 0.3826891 0.9238773 0 0.3826891 0.9238773 0 0.9238774 0.3826887 0 0.9238774 0.3826887 0 0 0 1 0 -0.8165324 0.5772996 0 0 1 0.8164907 0 0.5773587 0.6786031 -0.2810915 0.6785908 0.2845774 0.1178785 0.9513781 -0.8164907 0 0.5773587 -0.2810993 -0.6786231 0.6785674 0.1178833 -0.2845908 0.9513735 0 0.8164938 0.5773544 -0.6785894 0.2810872 0.6786063 -0.2845817 -0.1178796 0.9513766 -0.1178801 0.2845831 0.9513762 0.2810863 0.6785917 0.6786043 0 0 -1 -0.8164597 0 -0.5774023 0 0 -1 0 0.8164628 -0.577398 -0.2810717 0.6785563 -0.6786458 0.117868 0.2845539 -0.9513865 0 -0.8165016 -0.5773433 -0.6785677 -0.2810768 -0.6786323 -0.2845483 0.1178664 -0.9513884 0.8164597 0 -0.5774023 0.2810847 -0.6785877 -0.678609 -0.1178712 -0.2845616 -0.9513838 0.2845525 -0.1178675 -0.9513869 0.6785538 0.2810726 -0.6786478 0.3826887 -0.9238774 0 0.3826887 -0.9238774 0 0.9238773 -0.3826891 0 -0.3826887 -0.9238774 0 -0.3826887 -0.9238774 0 -0.9238773 -0.3826891 0 -0.9238773 -0.3826891 0 -0.9238765 0.3826908 0 -0.9238765 0.3826908 0 -0.3826887 0.9238774 0 -0.3826887 0.9238774 0 0.9238773 -0.3826891 0 0.3826887 0.9238774 0 0.3826887 0.9238774 0 0.9238765 0.3826908 0 0.9238765 0.3826908 0 0 0 1 0 -0.8164907 0.5773587 0 0 1 0.8164938 0 0.5773544 0.6785917 -0.2810863 0.6786043 0.2845831 0.1178801 0.9513762 -0.8165324 0 0.5772996 -0.2810915 -0.6786031 0.6785908 0.1178785 -0.2845774 0.9513781 0 0.8164907 0.5773587 -0.6786231 0.2810993 0.6785674 -0.2845908 -0.1178833 0.9513735 -0.1178796 0.2845817 0.9513766 0.2810872 0.6785894 0.6786063 0 0 -1 -0.8165016 0 -0.5773433 0 0 -1 0 0.8164597 -0.5774023 -0.2810768 0.6785677 -0.6786323 0.1178664 0.2845483 -0.9513884 0 -0.8164597 -0.5774023 -0.6785877 -0.2810847 -0.678609 -0.2845616 0.1178712 -0.9513838 0.8164628 0 -0.577398 0.2810726 -0.6785538 -0.6786478 -0.1178675 -0.2845526 -0.9513869 0.2845539 -0.117868 -0.9513865 0.6785563 0.2810717 -0.6786458 0.3826908 -0.9238765 0 0.3826908 -0.9238765 0 0.9238774 -0.3826887 0 -0.3826891 -0.9238773 0 -0.3826891 -0.9238773 0 -0.9238774 -0.3826887 0 -0.9238774 -0.3826887 0 -0.9238774 0.3826887 0 -0.9238774 0.3826887 0 -0.3826891 0.9238773 0 -0.3826891 0.9238773 0 0.9238774 -0.3826887 0 0.3826908 0.9238765 0 0.3826908 0.9238765 0 0.9238774 0.3826887 0 0.9238774 0.3826887 0 0 0 1 0 -0.8164938 0.5773544 0 0 1 0.8164907 0 0.5773587 0.6785894 -0.2810872 0.6786063 0.2845817 0.1178796 0.9513766 -0.8164907 0 0.5773587 -0.2810863 -0.6785917 0.6786043 0.1178801 -0.2845831 0.9513762 0 0.8165324 0.5772996 -0.6786031 0.2810915 0.6785908 -0.2845774 -0.1178785 0.9513781 -0.1178833 0.2845908 0.9513735 0.2810993 0.6786231 0.6785674 0 0 -1 -0.8164597 0 -0.5774023 0 0 -1 0 0.8165016 -0.5773433 -0.2810847 0.6785877 -0.678609 0.1178712 0.2845616 -0.9513838 0 -0.8164628 -0.577398 -0.6785538 -0.2810726 -0.6786478 -0.2845526 0.1178675 -0.9513869 0.8164597 0 -0.5774023 0.2810717 -0.6785563 -0.6786458 -0.117868 -0.2845539 -0.9513865 0.2845482 -0.1178664 -0.9513884 0.6785677 0.2810768 -0.6786323 0.3826887 -0.9238774 0 0.3826887 -0.9238774 0 0.9238765 -0.3826908 0 -0.3826887 -0.9238774 0 -0.3826887 -0.9238774 0 -0.9238765 -0.3826908 0 -0.9238765 -0.3826908 0 -0.9238773 0.3826891 0 -0.9238773 0.3826891 0 -0.3826887 0.9238774 0 -0.3826887 0.9238774 0 0.9238765 -0.3826908 0 0.3826887 0.9238774 0 0.3826887 0.9238774 0 0.9238773 0.3826891 0 0.9238773 0.3826891 0 0 0 -1 -0.1304937 -0.9914491 0 0 0 -1 -0.608787 -0.7933338 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.608787 -0.7933338 0 0 0 -1 0.258841 -0.9659199 0 0 0 -1 0 0 -1 0 0 -1 -0.1304937 -0.9914491 0 0 0 -1 0.4876966 -0.8447597 0.2203018 0 0 -1 0 0 -1 0.7933338 -0.608787 0 0 0 -1 0 0 -1 0 0 -1 0.3826831 -0.9238798 0 0 0 -1 0.9914491 -0.1304937 0 0.7933338 -0.608787 0 0 0 -1 0.9659199 0.258841 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9914491 -0.1304937 0 0 0 -1 0.8447597 0.4876966 0.2203018 0 0 -1 0 0 -1 0.608787 0.7933338 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9238798 0.3826831 0 0 0 -1 0.1304937 0.9914491 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.608787 0.7933338 0 0 0 -1 -0.258841 0.9659199 0 0 0 -1 0 0 -1 0 0 -1 0.1304937 0.9914491 0 0 0 -1 -0.4876966 0.8447597 0.2203018 0 0 -1 0 0 -1 -0.7933338 0.608787 0 0 0 -1 0 0 -1 0 0 -1 -0.3826831 0.9238798 0 0 0 -1 -0.9914491 0.1304937 0 -0.7933338 0.608787 0 0 0 -1 -0.9659199 -0.258841 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9914491 0.1304937 0 0 0 -1 -0.8447597 -0.4876966 0.2203018 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9238798 -0.3826831 0 -0.7933529 -0.6087622 0 0.1305533 -0.9914413 0 0.1305533 -0.9914413 0 -0.9238917 0.382654 0 -0.7933529 -0.6087622 0 0 0 -1 -0.1305132 0.9914466 0 0 0 -1 0 0 -1 0 0 -1 -0.9238917 0.382654 0 0 0 -1 0.7933524 0.6087626 0 -0.1305132 0.9914466 0 0 0 -1 0.9238736 -0.3826978 0 0.7933524 0.6087626 0 0.9238736 -0.3826978 0 -0.5000059 -0.8660221 0 0.5000059 -0.8660221 0 0.5000059 -0.8660221 0 -1 0 0 -0.5000059 -0.8660221 0 0 0 -1 -0.5000016 0.8660246 0 0 0 -1 0 0 -1 -1 0 0 0 0 -1 0.5000016 0.8660246 0 -0.5000016 0.8660246 0 0 0 -1 1 0 0 0.5000016 0.8660246 0 0 0 -1 1 0 0 0 0 -1 0.2588302 -0.9659229 0 0 0 -1 0.9659229 -0.2588302 0 0.9659229 -0.2588302 0 0 0 -1 -0.7071065 -0.7071071 0 0 0 -1 0.2588302 -0.9659229 0 0 0 -1 -0.9659227 0.2588307 0 0 0 -1 -0.7071065 -0.7071071 0 0 0 -1 -0.2588307 0.9659227 0 0 0 -1 0 0 -1 -0.9659227 0.2588307 0 0 0 -1 0.7071071 0.7071065 0 0 0 -1 0 0 -1 -0.2588307 0.9659227 0 0 0 -1 0.7071071 0.7071065 0 0.6087622 -0.7933529 0 0.9914413 0.1305533 0 0.9914413 0.1305533 0 -0.382654 -0.9238917 0 0.6087622 -0.7933529 0 -0.9914466 -0.1305132 0 -0.382654 -0.9238917 0 0 0 -1 -0.6087626 0.7933524 0 0 0 -1 -0.9914466 -0.1305132 0 0 0 -1 0.3826978 0.9238736 0 0 0 -1 -0.6087626 0.7933524 0 0.3826978 0.9238736 0 0.8660221 -0.5000059 0 0.8660221 0.5000059 0 0.8660221 0.5000059 0 0 -1 0 0.8660221 -0.5000059 0 -0.8660246 -0.5000016 0 0 -1 0 0 0 -1 -0.8660246 0.5000016 0 0 0 -1 0 0 -1 -0.8660246 -0.5000016 0 0 0 -1 0 1 0 0 0 -1 -0.8660246 0.5000016 0 0 1 0 0.9659229 0.2588302 0 0.2588302 0.9659229 0 0.2588302 0.9659229 0 0 0 -1 0.7071071 -0.7071065 0 0.9659229 0.2588302 0 0 0 -1 -0.2588307 -0.9659227 0 0 0 -1 0.7071071 -0.7071065 0 0 0 -1 -0.9659227 -0.2588307 0 -0.2588307 -0.9659227 0 0 0 -1 -0.7071065 0.7071071 0 0 0 -1 -0.9659227 -0.2588307 0 -0.7071065 0.7071071 0 0.7933529 0.6087622 0 -0.1305533 0.9914413 0 -0.1305533 0.9914413 0 0.9238917 -0.382654 0 0.7933529 0.6087622 0 0 0 -1 0.1305132 -0.9914466 0 0 0 -1 0.9238917 -0.382654 0 0 0 -1 -0.7933524 -0.6087626 0 0.1305132 -0.9914466 0 0 0 -1 -0.9238736 0.3826978 0 -0.7933524 -0.6087626 0 -0.9238736 0.3826978 0 0.5000059 0.8660221 0 -0.5000059 0.8660221 0 -0.5000059 0.8660221 0 1 0 0 0.5000059 0.8660221 0 0 0 -1 0.5000016 -0.8660246 0 0 0 -1 0 0 -1 1 0 0 0 0 -1 -0.5000016 -0.8660246 0 0.5000016 -0.8660246 0 0 0 -1 -1 0 0 -0.5000016 -0.8660246 0 0 0 -1 -1 0 0 0 0 -1 -0.2588302 0.9659229 0 0 0 -1 -0.9659229 0.2588302 0 -0.9659229 0.2588302 0 0 0 -1 0.7071065 0.7071071 0 0 0 -1 -0.2588302 0.9659229 0 0 0 -1 0.9659227 -0.2588307 0 0 0 -1 0.7071065 0.7071071 0 0 0 -1 0.2588307 -0.9659227 0 0 0 -1 0 0 -1 0.9659227 -0.2588307 0 0 0 -1 -0.7071071 -0.7071065 0 0 0 -1 0 0 -1 0.2588307 -0.9659227 0 0 0 -1 -0.7071071 -0.7071065 0 -0.6087622 0.7933529 0 -0.9914413 -0.1305533 0 -0.9914413 -0.1305533 0 0.382654 0.9238917 0 -0.6087622 0.7933529 0 0.9914466 0.1305132 0 0.382654 0.9238917 0 0 0 -1 0.6087626 -0.7933524 0 0 0 -1 0.9914466 0.1305132 0 0 0 -1 -0.3826978 -0.9238736 0 0 0 -1 0.6087626 -0.7933524 0 -0.3826978 -0.9238736 0 -0.8660221 0.5000059 0 -0.8660221 -0.5000059 0 -0.8660221 -0.5000059 0 0 1 0 -0.8660221 0.5000059 0 0.8660246 0.5000016 0 0 1 0 0 0 -1 0.8660246 -0.5000016 0 0 0 -1 0 0 -1 0.8660246 0.5000016 0 0 0 -1 0 -1 0 0 0 -1 0.8660246 -0.5000016 0 0 -1 0 -0.9659229 -0.2588302 0 -0.2588302 -0.9659229 0 -0.2588302 -0.9659229 0 0 0 -1 -0.7071071 0.7071065 0 -0.9659229 -0.2588302 0 0 0 -1 0.2588307 0.9659227 0 0 0 -1 -0.7071071 0.7071065 0 0 0 -1 0.9659227 0.2588307 0 0.2588307 0.9659227 0 0.7071065 -0.7071071 0 0.9659227 0.2588307 0 0.7071065 -0.7071071 0 0 0 -1 -0.760416 0.6494365 0 0 0 -1 -0.9969158 0.07847791 0 -0.9969158 0.07847791 0 -0.2334782 0.9723621 0 0 0 -1 -0.760416 0.6494365 0 0.3826841 0.9238793 0 -0.2334782 0.9723621 0 0 0 -1 0.852655 0.5224745 0 0 0 -1 0.3826841 0.9238793 0 0 0 -1 0.9969158 -0.07847791 0 0 0 -1 0.852655 0.5224745 0 0 0 -1 0.760416 -0.6494365 0 0.9969158 -0.07847791 0 0.2334782 -0.9723621 0 0 0 -1 0.760416 -0.6494365 0 -0.3826841 -0.9238793 0 0.2334782 -0.9723621 0 0 0 -1 -0.852655 -0.5224745 0 0 0 -1 -0.3826841 -0.9238793 0 0 0 -1 -0.852655 -0.5224745 0 0.5997153 0.4601814 -0.6546563 -0.09866237 0.7494642 -0.6546519 -0.09866571 0.7494659 -0.6546494 0.698381 -0.2892891 -0.654657 0.5997152 0.4601837 -0.6546546 0.09867191 -0.7494602 -0.6546552 0.6983846 -0.2892869 -0.6546542 -0.5997216 -0.4601762 -0.654654 0.09868764 -0.7494685 -0.6546433 -0.6983916 0.2892791 -0.6546502 -0.599721 -0.4601894 -0.6546452 -0.6983888 0.2892808 -0.6546523 -0.4601814 0.5997153 -0.6546563 -0.7494642 -0.09866237 -0.6546519 -0.7494659 -0.09866571 -0.6546494 0.2892891 0.698381 -0.654657 -0.4601837 0.5997152 -0.6546546 0.7494602 0.09867191 -0.6546552 0.2892869 0.6983846 -0.6546542 0.4601762 -0.5997216 -0.654654 0.7494685 0.09868764 -0.6546433 -0.2892791 -0.6983916 -0.6546502 0.4601894 -0.599721 -0.6546452 -0.2892808 -0.6983888 -0.6546523 -0.5997153 -0.4601814 -0.6546563 0.09866237 -0.7494642 -0.6546519 0.09866571 -0.7494659 -0.6546494 -0.698381 0.2892891 -0.654657 -0.5997152 -0.4601837 -0.6546546 -0.09867191 0.7494602 -0.6546552 -0.6983846 0.2892869 -0.6546542 0.5997216 0.4601762 -0.654654 -0.09868764 0.7494685 -0.6546433 0.6983916 -0.2892791 -0.6546502 0.599721 0.4601894 -0.6546452 0.6983888 -0.2892808 -0.6546523 0.4601814 -0.5997153 -0.6546563 0.7494642 0.09866237 -0.6546519 0.7494659 0.09866571 -0.6546494 -0.2892891 -0.698381 -0.654657 0.4601837 -0.5997152 -0.6546546 -0.7494602 -0.09867191 -0.6546552 -0.2892869 -0.6983846 -0.6546542 -0.4601762 0.5997216 -0.654654 -0.7494685 -0.09868764 -0.6546433 0.2892791 0.6983916 -0.6546502 -0.4601894 0.599721 -0.6546452 0.2892808 0.6983888 -0.6546523 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.0938639 -0.7130814 0.6947694 -0.4379797 -0.5707607 0.6945545 -0.437842 -0.5706071 0.6947676 0.2752097 -0.6643351 0.6949234 -0.09390705 -0.7132866 0.6945528 0.5705914 -0.4378136 0.6947982 0.2753456 -0.6647503 0.6944723 0.7132123 -0.09390693 0.6946293 0.5707288 -0.4379368 0.6946078 0.6647694 0.275322 0.6944634 0.7130781 -0.09387874 0.6947706 0.4379797 0.5707607 0.6945545 0.6643307 0.2751785 0.69494 0.0938639 0.7130814 0.6947694 0.437842 0.5706071 0.6947676 -0.2752097 0.6643351 0.6949234 0.09390705 0.7132866 0.6945528 -0.5705914 0.4378136 0.6947982 -0.2753456 0.6647503 0.6944723 -0.7132123 0.09390693 0.6946293 -0.5707288 0.4379368 0.6946078 -0.6647694 -0.275322 0.6944634 -0.7130781 0.09387874 0.6947706 -0.6643307 -0.2751785 0.69494 0 0 1 0.6087871 0.7933338 0 0 0 1 0.1304954 0.9914489 9.37061e-5 0 0 1 0 0 1 0 0 1 0 0 1 0.1305277 0.9914447 0 0 0 1 0.8660399 0.4999749 7.47106e-6 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.6087612 0.7933535 9.35824e-5 0 0 1 0.9043354 0.2423443 -0.35135 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.9914489 -0.1304954 9.0256e-5 0 0 1 0 0 1 0 0 1 0.9238777 0.3826878 -9.3706e-6 0 0 1 0.7933338 -0.6087871 0 0 0 1 0 0 1 0.9914448 -0.1305265 0 0 0 1 0.4999749 -0.8660399 1.75269e-5 0 0 1 0 0 1 0.7933525 -0.6087625 8.89583e-5 0 0 1 0.2423458 -0.9043411 -0.3513342 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.1304954 -0.9914489 9.37061e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.3826799 -0.9238809 -1.94285e-5 0 0 1 -0.6087871 -0.7933338 0 0 0 1 0 0 1 0 0 1 0 0 1 -0.1305277 -0.9914447 0 0 0 1 -0.8660399 -0.4999749 7.47106e-6 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.6087612 -0.7933535 9.35824e-5 0 0 1 -0.9043354 -0.2423443 -0.35135 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.9914489 0.1304954 9.0256e-5 0 0 1 0 0 1 0 0 1 -0.9238777 -0.3826878 -9.3706e-6 0 0 1 -0.7933338 0.6087871 0 0 0 1 0 0 1 -0.9914448 0.1305265 0 0 0 1 -0.4999749 0.8660399 1.75269e-5 0 0 1 0 0 1 -0.7933525 0.6087625 8.89583e-5 0 0 1 -0.2423458 0.9043411 -0.3513342 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3826799 0.9238809 -1.94285e-5 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.1304889 0.9914497 0 0.7933275 0.6087951 1.15509e-4 0.7933494 0.6087666 0 -0.9238832 0.3826742 -4.25689e-4 -0.1305218 0.9914455 1.06622e-4 -0.793327 -0.6087957 1.14369e-4 -0.9238801 0.3826819 -4.52518e-4 0.1304889 -0.9914497 0 -0.7933487 -0.6087675 0 0.9238839 -0.3826726 -3.91225e-4 0.1305499 -0.9914417 1.97499e-4 0.9238764 -0.3826907 -4.54267e-4 -0.9914497 -0.1304889 0 -0.6087951 0.7933275 1.15509e-4 -0.6087666 0.7933494 0 -0.3826742 -0.9238832 -4.25689e-4 -0.9914455 -0.1305218 1.06622e-4 0.6087957 -0.793327 1.14369e-4 -0.3826819 -0.9238801 -4.52518e-4 0.9914497 0.1304889 0 0.6087675 -0.7933487 0 0.3826726 0.9238839 -3.91225e-4 0.9914417 0.1305499 1.97499e-4 0.3826907 0.9238764 -4.54267e-4 0.1304889 -0.9914497 0 -0.7933275 -0.6087951 1.15509e-4 -0.7933494 -0.6087666 0 0.9238832 -0.3826742 -4.25689e-4 0.1305218 -0.9914455 1.06622e-4 0.793327 0.6087957 1.14369e-4 0.9238801 -0.3826819 -4.52518e-4 -0.1304889 0.9914497 0 0.7933487 0.6087675 0 -0.9238839 0.3826726 -3.91225e-4 -0.1305499 0.9914417 1.97499e-4 -0.9238764 0.3826907 -4.54267e-4 0.9914497 0.1304889 0 0.6087951 -0.7933275 1.15509e-4 0.6087666 -0.7933494 0 0.3826742 0.9238832 -4.25689e-4 0.9914455 0.1305218 1.06622e-4 -0.6087957 0.793327 1.14369e-4 0.3826819 0.9238801 -4.52518e-4 -0.9914497 -0.1304889 0 -0.6087675 0.7933487 0 -0.3826726 -0.9238839 -3.91225e-4 -0.9914417 -0.1305499 1.97499e-4 -0.3826907 -0.9238764 -4.54267e-4 0 0 1 -0.3090617 0.951042 0 0 0 1 0.3090617 0.951042 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.3090617 0.951042 0 0 0 1 -0.809058 0.5877288 0 0 0 1 0 0 1 -0.3090617 0.951042 0 0 0 1 -1 0 0 0 0 1 0 0 1 -0.809058 0.5877288 0 0 0 1 -0.809058 -0.5877288 0 0 0 1 0 0 1 0 0 1 0 0 1 -1 0 0 0 0 1 -0.3090617 -0.951042 0 0 0 1 0 0 1 0 0 1 -0.809058 -0.5877288 0 0 0 1 0.3090617 -0.951042 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.3090617 -0.951042 0 0 0 1 0.809058 -0.5877288 0 0 0 1 0 0 1 0.3090617 -0.951042 0 0 0 1 1 0 0 0 0 1 0 0 1 0.809058 -0.5877288 0 0 0 1 0.809058 0.5877288 0 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0.809058 0.5877288 0 0 0 1 -0.1861605 0.6947478 0.6947444 0 0 1 0.1861566 0.6947543 0.6947389 0.1861299 0.6947518 0.6947485 0 0 1 -0.5086297 0.5086295 0.6946883 -0.1861426 0.6947604 0.6947365 0 0 1 -0.6947475 0.186174 0.6947411 -0.50863 0.5086288 0.6946885 -0.6947453 -0.1861778 0.6947422 0 0 1 -0.6947468 0.1861668 0.6947438 -0.508629 -0.5086287 0.6946895 -0.6947457 -0.1861773 0.694742 -0.1861786 -0.6947441 0.6947433 -0.5086297 -0.5086284 0.6946892 0.186173 -0.6947444 0.6947444 -0.1861767 -0.6947439 0.6947439 0.5086285 -0.5086283 0.6946902 0.1861674 -0.6947484 0.6947419 0.6947517 -0.1861605 0.6947404 0.5086284 -0.5086284 0.69469 0.6947477 0.186155 0.694746 0.6947498 -0.1861392 0.6947482 0 0 1 0.5086292 0.508629 0.6946891 0.6947638 0.1861323 0.694736 0 0 1 0.508629 0.508629 0.6946892 0 0 1 0.3595777 0.6229293 0.6947395 0 0 1 0.6229456 0.3595886 0.6947193 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0.6228875 0.359637 0.6947463 0 0 1 5.60404e-5 0.7192764 0.694724 0 0 1 0.359634 0.6229196 0.6947191 0 0 1 -0.3596705 0.6228734 0.6947416 0 0.7192558 0.6947454 0 0 1 -0.6228815 0.3596745 0.6947323 -0.3596446 0.6229045 0.6947271 -0.7192627 -5.54617e-5 0.6947382 -0.622888 0.3596369 0.6947459 -0.62294 -0.3595836 0.6947268 -0.7192831 0 0.6947171 -0.3595793 -0.622933 0.6947353 -0.6228998 -0.3596172 0.6947456 -5.60411e-5 -0.7192856 0.6947146 -0.3596526 -0.6229204 0.6947087 0.3596746 -0.6228803 0.6947332 0 -0.7192649 0.6947359 0.6228832 -0.3596916 0.6947219 0.3596366 -0.6229261 0.694712 0.7192651 7.13492e-5 0.6947358 0.6228963 -0.3596157 0.6947494 0 0 1 0 0 1 0.7192913 0 0.6947086 0 0 1 0.6947415 0.1862071 0.6947382 0 0 1 0.6947588 -0.1862062 0.6947211 0 0 1 0 0 1 0 0 1 0.6947518 -0.1861299 0.6947485 0.5086436 0.5085691 0.6947224 0.6947827 0.1861486 0.6947126 0.1860937 0.6947739 0.6947363 0.5085918 0.508593 0.6947429 -0.1860978 0.6947919 0.6947172 0.1861761 0.6947813 0.6947066 -0.5086399 0.5085463 0.6947417 -0.1861749 0.6947374 0.694751 -0.6947486 0.186228 0.6947255 -0.50861 0.5086112 0.6947163 0 0 1 -0.6947382 -0.1862197 0.6947382 0 0 1 -0.6947439 0.1861767 0.6947439 0 0 1 -0.5086508 -0.508557 0.6947258 0 0 1 -0.6947708 -0.1861734 0.694718 0 0 1 -0.1860926 -0.6947705 0.6947399 0 0 1 -0.5085867 -0.5085867 0.6947512 0 0 1 0.1860965 -0.6947821 0.6947274 0 0 1 -0.186146 -0.6947754 0.6947208 0 0 1 0.5086344 -0.5085595 0.6947361 0 0 1 0.1861307 -0.6947579 0.6947422 0 0 1 0.5086107 -0.5086107 0.6947159 0 0 1 0.6229293 -0.3595777 0.6947395 0 0 1 0.3595886 -0.6229456 0.6947193 0.359637 -0.6228875 0.6947463 0 0 1 0.7192764 -5.60404e-5 0.694724 0.6229196 -0.359634 0.6947191 0.6228734 0.3596705 0.6947416 0.7192558 0 0.6947454 0.3596745 0.6228815 0.6947323 0.6229045 0.3596446 0.6947271 -5.54617e-5 0.7192627 0.6947382 0.3596369 0.622888 0.6947459 -0.3595836 0.62294 0.6947268 0 0.7192831 0.6947171 -0.622933 0.3595793 0.6947353 -0.3596172 0.6228998 0.6947456 -0.7192856 5.60411e-5 0.6947146 -0.6229204 0.3596526 0.6947087 0 0 1 -0.6228803 -0.3596746 0.6947332 0 0 1 -0.7192649 0 0.6947359 0 0 1 -0.3596916 -0.6228832 0.6947219 -0.6229261 -0.3596366 0.694712 0 0 1 7.13492e-5 -0.7192651 0.6947358 -0.3596157 -0.6228963 0.6947494 0 -0.7192913 0.6947086 0 0 1 0.1862071 -0.6947415 0.6947382 0 0 1 -0.1862062 -0.6947588 0.6947211 -0.1861299 -0.6947518 0.6947485 0 0 1 0.5085691 -0.5086436 0.6947224 0.1861486 -0.6947827 0.6947126 0 0 1 0.6947739 -0.1860937 0.6947363 0.508593 -0.5085918 0.6947429 0.6947919 0.1860978 0.6947172 0.6947813 -0.1861761 0.6947066 0.5085463 0.5086399 0.6947417 0.6947374 0.1861749 0.694751 0.186228 0.6947486 0.6947255 0.5086112 0.50861 0.6947163 -0.1862197 0.6947382 0.6947382 0.1861767 0.6947439 0.6947439 -0.508557 0.5086508 0.6947258 -0.1861734 0.6947708 0.694718 -0.6947705 0.1860926 0.6947399 -0.5085867 0.5085867 0.6947512 -0.6947821 -0.1860965 0.6947274 -0.6947754 0.186146 0.6947208 0 0 1 -0.5085595 -0.5086344 0.6947361 -0.6947579 -0.1861307 0.6947422 0 0 1 -0.5086107 -0.5086107 0.6947159 0 0 1 -0.3595777 -0.6229293 0.6947395 0 0 1 -0.6229456 -0.3595886 0.6947193 0 0 1 0 0 1 0 0 1 0 0 1 -0.6228875 -0.359637 0.6947463 0 0 1 -5.60404e-5 -0.7192764 0.694724 0 0 1 -0.359634 -0.6229196 0.6947191 0 0 1 0.3596705 -0.6228734 0.6947416 0 -0.7192558 0.6947454 0 0 1 0.6228815 -0.3596745 0.6947323 0.3596446 -0.6229045 0.6947271 0.7192627 5.54617e-5 0.6947382 0.622888 -0.3596369 0.6947459 0.62294 0.3595836 0.6947268 0.7192831 0 0.6947171 0.3595793 0.622933 0.6947353 0.6228998 0.3596172 0.6947456 5.60411e-5 0.7192856 0.6947146 0.3596526 0.6229204 0.6947087 -0.3596746 0.6228803 0.6947332 0 0.7192649 0.6947359 -0.6228832 0.3596916 0.6947219 -0.3596366 0.6229261 0.694712 -0.7192651 -7.13492e-5 0.6947358 -0.6228963 0.3596157 0.6947494 0 0 1 0 0 1 -0.7192913 0 0.6947086 0 0 1 -0.6947415 -0.1862071 0.6947382 0 0 1 -0.6947588 0.1862062 0.6947211 0 0 1 0 0 1 -0.6947518 0.1861299 0.6947485 -0.5086436 -0.5085691 0.6947224 -0.6947827 -0.1861486 0.6947126 -0.1860937 -0.6947739 0.6947363 -0.5085918 -0.508593 0.6947429 0.1860978 -0.6947919 0.6947172 -0.1861761 -0.6947813 0.6947066 0.5086399 -0.5085463 0.6947417 0.1861749 -0.6947374 0.694751 0.6947486 -0.186228 0.6947255 0.50861 -0.5086112 0.6947163 0 0 1 0.6947382 0.1862197 0.6947382 0 0 1 0.6947439 -0.1861767 0.6947439 0 0 1 0.5086508 0.508557 0.6947258 0 0 1 0.6947708 0.1861734 0.694718 0 0 1 0.1860926 0.6947705 0.6947399 0 0 1 0.5085867 0.5085867 0.6947512 0 0 1 -0.1860965 0.6947821 0.6947274 0 0 1 0.186146 0.6947754 0.6947208 0 0 1 -0.5086344 0.5085595 0.6947361 0 0 1 -0.1861307 0.6947579 0.6947422 0 0 1 -0.5086107 0.5086107 0.6947159 0 0 1 -0.6229293 0.3595777 0.6947395 0 0 1 -0.3595886 0.6229456 0.6947193 -0.359637 0.6228875 0.6947463 0 0 1 -0.7192764 5.60404e-5 0.694724 -0.6229196 0.359634 0.6947191 -0.6228734 -0.3596705 0.6947416 -0.7192558 0 0.6947454 -0.3596745 -0.6228815 0.6947323 -0.6229045 -0.3596446 0.6947271 5.54617e-5 -0.7192627 0.6947382 -0.3596369 -0.622888 0.6947459 0.3595836 -0.62294 0.6947268 0 -0.7192831 0.6947171 0.622933 -0.3595793 0.6947353 0.3596172 -0.6228998 0.6947456 0.7192856 -5.60411e-5 0.6947146 0.6229204 -0.3596526 0.6947087 0 0 1 0.6228803 0.3596746 0.6947332 0.7192649 0 0.6947359 0 0 1 0.3596916 0.6228832 0.6947219 0.6229261 0.3596366 0.694712 0 0 1 -7.13492e-5 0.7192651 0.6947358 0.3596157 0.6228963 0.6947494 0 0.7192913 0.6947086 0 1 0 -0.7071177 0 0.707096 0 1 0 0 1 0 -0.7071177 0 0.707096 0 1 0 0 1 0 0.7071177 0 0.707096 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0.7071177 0 0.707096 0 -1 0 0 -1 0 -0.7071177 0 0.707096 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 -0.6786091 -0.2810834 0.6785882 0 0 1 -0.7071177 0 0.707096 0 0 1 -0.2810915 -0.6786066 0.6785874 0 0 1 -0.6786034 -0.2810859 0.6785929 0 0 1 0 -0.7071081 0.7071055 0 0 1 -0.2810774 -0.6786011 0.6785986 -0.3826894 0 0.9238771 0 -0.7071081 0.7071055 -0.2810888 -0.6785987 0.6785962 -0.3826894 0 0.9238771 0 0.7071081 0.7071055 -0.2810541 0.6786059 0.6786034 -0.2810939 0.6785844 0.6786085 -0.2810883 0.6785988 0.6785963 0 0.7071081 0.7071055 -0.6786059 0.2810821 0.6785919 -0.2810822 0.6786126 0.678585 -0.6786081 0.2810879 0.6785872 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2588492 0.9659178 0 0 0 -1 0.2588492 0.9659178 -3.80403e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2588412 0.9659198 0 0 0 -1 -0.7071068 0.7071068 1.27537e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2588412 0.9659198 -3.80035e-5 0 0 -1 -0.9659178 0.2588492 -1.50103e-4 0 0 -1 0 0 -1 0 0 -1 -0.7070897 0.7071239 1.45766e-5 -0.9659178 -0.2588492 9.65544e-5 -0.9659314 0.258798 9.65705e-5 0 0 -1 -0.7071068 -0.7071068 1.44879e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.9659314 -0.258798 -1.50105e-4 0 0 -1 -0.2588492 -0.9659178 -3.80403e-5 0 0 -1 0 0 -1 0 0 -1 -0.7070897 -0.7071239 1.27546e-4 0 0 -1 0.2588492 -0.9659178 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.2588412 -0.9659198 0 0 0 -1 0.7071068 -0.7071068 1.27537e-4 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.2588412 -0.9659198 -3.80035e-5 0 0 -1 0.9659178 -0.2588492 -1.50103e-4 0 0 -1 0 0 -1 0 0 -1 0.7070897 -0.707124 1.44958e-5 0.9659178 0.2588492 9.65544e-5 0.9659314 -0.258798 9.65557e-5 0 0 -1 0.7071068 0.7071068 1.44879e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.9659314 0.258798 -1.50119e-4 0 0 -1 0 0 -1 0 0 -1 0.7070897 0.7071239 1.2753e-4 0.4999822 0.8660357 0 -0.4999948 0.8660284 0 -0.7058093 0.7058076 0.0605719 -0.2587959 0.965932 0 1 0 0 0.258307 0.9641618 0.06057578 0.7071068 0.7071068 0 0.500003 -0.8660237 0 0.964163 0.2583063 0.06056261 0.9659323 -0.2587951 0 -0.5000156 -0.8660165 0 0.2588322 -0.9659223 0 0.7058084 -0.7058084 0.06057184 -1 0 0 -0.2583706 -0.9641452 0.06056892 -0.7071076 -0.7071059 0 -0.9641447 -0.2583705 0.06057763 -0.9659223 0.258832 0 0.9659228 0.25883 0 0.2588238 0.9659246 0 0 0.9981639 0.06057244 0.4999908 0.8660307 0 0.7071092 -0.7071045 0 0.8644275 0.4990953 0.06057071 1 0 0 -0.258829 -0.9659231 0 0.8644431 -0.4990676 0.06057643 0.4999896 -0.8660314 0 -0.9659253 -0.2588214 0 -0.5000097 -0.8660198 0 0 -0.9981639 0.06057226 0 0 -1 -0.7071054 0.7071082 0 -0.864444 -0.4990674 0.06056731 -1 0 0 0 0 -1 -0.8644281 0.4990948 0.06056827 -0.500011 0.8660191 0 0 0 -1 0.8660357 -0.4999822 0 0.8660284 0.4999948 0 0 0 -1 0.7058076 0.7058093 0.0605719 0.965932 0.2587959 0 0 0 -1 0 -1 0 0.9641618 -0.258307 0.06057578 0.7071068 -0.7071068 0 0 0 -1 -0.8660237 -0.500003 0 0 0 -1 0.2583063 -0.964163 0.06056261 -0.2587951 -0.9659323 0 -0.8660165 0.5000156 0 0 0 -1 -0.9659223 -0.2588322 0 -0.7058084 -0.7058084 0.06057184 0 1 0 -0.9641452 0.2583706 0.06056892 -0.7071059 0.7071076 0 -0.2583705 0.9641447 0.06057763 0.258832 0.9659223 0 0.25883 -0.9659228 0 0.9659246 -0.2588238 0 0.9981639 0 0.06057244 0.8660307 -0.4999908 0 -0.7071045 -0.7071092 0 0.4990953 -0.8644275 0.06057071 0 -1 0 0 0 -1 -0.9659231 0.258829 0 0 0 -1 -0.4990676 -0.8644431 0.06057643 -0.8660314 -0.4999896 0 0 0 -1 -0.2588214 0.9659253 0 0 0 -1 -0.8660198 0.5000097 0 -0.9981639 0 0.06057226 0 0 -1 0.7071082 0.7071054 0 0 0 -1 -0.4990674 0.864444 0.06056731 0 1 0 0.4990948 0.8644281 0.06056827 0.8660191 0.500011 0 -0.4999822 -0.8660357 0 0.4999948 -0.8660284 0 0.7058093 -0.7058076 0.0605719 0.2587959 -0.965932 0 -1 0 0 -0.258307 -0.9641618 0.06057578 -0.7071068 -0.7071068 0 -0.500003 0.8660237 0 -0.964163 -0.2583063 0.06056261 -0.9659323 0.2587951 0 0.5000156 0.8660165 0 -0.2588322 0.9659223 0 -0.7058084 0.7058084 0.06057184 1 0 0 0.2583706 0.9641452 0.06056892 0.7071076 0.7071059 0 0.9641447 0.2583705 0.06057763 0.9659223 -0.258832 0 -0.9659228 -0.25883 0 -0.2588238 -0.9659246 0 0 -0.9981639 0.06057244 -0.4999908 -0.8660307 0 -0.7071092 0.7071045 0 -0.8644275 -0.4990953 0.06057071 -1 0 0 0.258829 0.9659231 0 -0.8644431 0.4990676 0.06057643 -0.4999896 0.8660314 0 0.9659253 0.2588214 0 0.5000097 0.8660198 0 0 0.9981639 0.06057226 0 0 -1 0.7071054 -0.7071082 0 0.864444 0.4990674 0.06056731 1 0 0 0 0 -1 0.8644281 -0.4990948 0.06056827 0.500011 -0.8660191 0 0 0 -1 -0.8660357 0.4999822 0 -0.8660284 -0.4999948 0 0 0 -1 -0.7058076 -0.7058093 0.0605719 -0.965932 -0.2587959 0 0 0 -1 0 1 0 -0.9641618 0.258307 0.06057578 -0.7071068 0.7071068 0 0 0 -1 0.8660237 0.500003 0 0 0 -1 -0.2583063 0.964163 0.06056261 0.2587951 0.9659323 0 0.8660165 -0.5000156 0 0 0 -1 0.9659223 0.2588322 0 0.7058084 0.7058084 0.06057184 0 -1 0 0.9641452 -0.2583706 0.06056892 0.7071059 -0.7071076 0 0.2583705 -0.9641447 0.06057763 -0.258832 -0.9659223 0 -0.25883 0.9659228 0 -0.9659246 0.2588238 0 -0.9981639 0 0.06057244 -0.8660307 0.4999908 0 0.7071045 0.7071092 0 -0.4990953 0.8644275 0.06057071 0 1 0 0 0 -1 0.9659231 -0.258829 0 0 0 -1 0.4990676 0.8644431 0.06057643 0.8660314 0.4999896 0 0 0 -1 0.2588214 -0.9659253 0 0 0 -1 0.8660198 -0.5000097 0 0.9981639 0 0.06057226 0 0 -1 -0.7071082 -0.7071054 0 0 0 -1 0.4990674 -0.864444 0.06056731 0 -1 0 -0.4990948 -0.8644281 0.06056827 -0.8660191 -0.500011 0 0.5000057 0.8660222 0 -0.5000053 0.8660223 -1.28269e-4 -0.5002274 0.865894 0 1 0 2.42144e-5 0.5002171 0.8659 -1.22102e-4 0.5000057 -0.8660222 -1.22122e-4 1 0 2.42144e-5 -0.5000053 -0.8660223 0 0.5002171 -0.8659 0 -1 0 1.1921e-5 -0.5002274 -0.865894 -1.28247e-4 -1 0 1.1921e-5 0.8660222 -0.5000057 0 0.8660223 0.5000053 -1.28269e-4 0.865894 0.5002274 0 0 -1 2.42144e-5 0.8659 -0.5002171 -1.22102e-4 -0.8660222 -0.5000057 -1.22122e-4 0 -1 2.42144e-5 -0.8660223 0.5000053 0 -0.8659 -0.5002171 0 0 1 1.1921e-5 -0.865894 0.5002274 -1.28247e-4 0 1 1.1921e-5 -0.5000057 -0.8660222 0 0.5000053 -0.8660223 -1.28269e-4 0.5002274 -0.865894 0 -1 0 2.42144e-5 -0.5002171 -0.8659 -1.22102e-4 -0.5000057 0.8660222 -1.22122e-4 -1 0 2.42144e-5 0.5000053 0.8660223 0 -0.5002171 0.8659 0 1 0 1.1921e-5 0.5002274 0.865894 -1.28247e-4 1 0 1.1921e-5 -0.8660222 0.5000057 0 -0.8660223 -0.5000053 -1.28269e-4 -0.865894 -0.5002274 0 0 1 2.42144e-5 -0.8659 0.5002171 -1.22102e-4 0.8660222 0.5000057 -1.22122e-4 0 1 2.42144e-5 0.8660223 -0.5000053 0 0.8659 0.5002171 0 0 -1 1.1921e-5 0.865894 -0.5002274 -1.28247e-4 0 -1 1.1921e-5 1 0 0 0.7071049 0 -0.7071086 0.7071049 0 -0.7071086 1 0 0 0 1 0 0 -1 0 -1 0 0 -0.707105 0 -0.7071086 -1 0 0 0 -1 0 0 0 -1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 -0.707105 0 -0.7071086 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.8660224 0 0.5000052 0.866015 0 -0.5000181 0.866015 0 -0.5000181 0 0 1 0.8660224 0 0.5000052 0 -1 0 -0.8660243 0 0.5000021 0 0 1 0 -1 0 -0.8660168 0 -0.500015 0 -1 0 -0.8660243 0 0.5000021 0 0 -1 -0.8660168 0 -0.500015 0 0 -1 0.8660339 0 0.4999853 0.8660264 0 -0.4999982 0.8660264 0 -0.4999982 0 0 1 0.8660339 0 0.4999853 -0.8660337 0 0.4999856 0 0 1 0 -1 0 -0.8660262 0 -0.4999985 0 -1 0 -0.8660337 0 0.4999856 0 0 -1 -0.8660262 0 -0.4999985 0 0 -1 -0.866015 0 -0.5000181 -0.8660224 0 0.5000052 -0.8660224 0 0.5000052 0 0 -1 -0.866015 0 -0.5000181 0 -1 0 0.8660168 0 -0.500015 0 0 -1 0 -1 0 0.8660243 0 0.5000021 0 -1 0 0.8660168 0 -0.500015 0 0 1 0.8660243 0 0.5000021 0 0 1 -0.8660264 0 -0.4999982 -0.8660339 0 0.4999853 -0.8660339 0 0.4999853 0 0 -1 -0.8660264 0 -0.4999982 0.8660262 0 -0.4999985 0 0 -1 0.8660337 0 0.4999856 0.8660262 0 -0.4999985 0 0 1 0.8660337 0 0.4999856 0 0 1 -0.92388 -0.3826826 0 -0.6785969 -0.2810832 -0.6786004 -0.92388 -0.3826826 0 -1 0 0 -0.707105 0 -0.7071086 -0.707105 0 -0.7071086 -1 0 0 -0.92388 0.3826826 0 -0.92388 0.3826826 0 -0.6785979 0.2810788 -0.6786014 -0.6785921 0.2810813 -0.6786059 0.866015 0 -0.5000181 0 1 0 0.8660224 0 0.5000052 0.8660224 0 0.5000052 0 0 -1 0.866015 0 -0.5000181 0 1 0 -0.8660168 0 -0.500015 0 0 -1 0 1 0 -0.8660243 0 0.5000021 0 1 0 -0.8660168 0 -0.500015 0 1 0 0 0 1 0 1 0 -0.8660243 0 0.5000021 0 0 1 0.8660264 0 -0.4999982 0 1 0 0.8660339 0 0.4999853 0.8660339 0 0.4999853 0 0 -1 0.8660264 0 -0.4999982 -0.8660262 0 -0.4999985 0 0 -1 0 1 0 -0.8660337 0 0.4999856 0 1 0 -0.8660262 0 -0.4999985 0 1 0 0 0 1 0 1 0 -0.8660337 0 0.4999856 0 0 1 0 1 0 0 0 -1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0 -1 0 1 0 0 0 -1 0 0 -1 0 0 -1 -0.8660224 0 0.5000052 -0.866015 0 -0.5000181 -0.866015 0 -0.5000181 0 0 1 -0.8660224 0 0.5000052 0 1 0 0.8660243 0 0.5000021 0 0 1 0 1 0 0.8660168 0 -0.500015 0 1 0 0.8660243 0 0.5000021 0 0 -1 0.8660168 0 -0.500015 0 0 -1 -0.8660339 0 0.4999853 -0.8660264 0 -0.4999982 -0.8660264 0 -0.4999982 0 0 1 -0.8660339 0 0.4999853 0.8660337 0 0.4999856 0 0 1 0.8660262 0 -0.4999985 0.8660337 0 0.4999856 0 0 -1 0.8660262 0 -0.4999985 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.6785947 -0.2810775 -0.678605 0 0 -1 0 0 -1 -0.2810868 0.6785954 -0.6786004 0 0 -1 0 0 -1 0 0.7070954 -0.7071181 0 0 -1 -0.2810728 0.6785899 -0.6786117 0.3826891 0 -0.9238772 0 0.7070954 -0.7071181 0.2810932 0.6785857 -0.6786075 0.3826891 0 -0.9238772 0 -0.7070954 -0.7071181 0.2810819 -0.678588 -0.6786099 0.2810883 -0.6785997 -0.6785954 -0.2810837 -0.6785877 -0.6786094 0 -0.7070954 -0.7071181 -0.2810776 -0.6786014 -0.6785982 -0.4936773 0.8216065 -0.2850362 -0.4936787 0.8216087 0.2850271 0 0.8216044 -0.5700581 0.4936756 0.821607 -0.2850375 0.493677 0.8216093 0.2850285 0 0.8216136 0.5700448 -0.4936879 0.8216023 -0.2850297 -0.4936892 0.8216046 0.2850207 0 0.8216044 -0.5700581 0.4936777 0.8216105 -0.2850236 0.4936791 0.8216128 0.2850146 0 0.8216136 0.5700448 -1 0 0 -0.7071073 0 -0.7071063 -0.7071074 -0.7071061 0 -0.7071075 -0.7071062 0 -1 0 0 -0.7071074 0.7071061 0 -0.7071073 0 -0.7071063 -0.9238774 0 0.3826886 -0.7071075 0.7071062 0 -0.6785981 0.6785968 0.2810889 -0.9238774 0 0.3826886 -0.6786044 -0.6786031 0.2810587 -0.6786088 -0.6785842 0.2810934 0 -1 0 0 0 -1 0.707118 -0.7070956 0 0 0 -1 0.7071178 0 -0.7070958 0.707118 -0.7070955 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.2810643 -0.6785772 0.6786279 0 -1 0 -0.3826737 -0.9238836 0 -0.3826737 -0.9238836 0 0.6786018 -0.6785975 -0.2810786 0.6786074 -0.6785858 -0.2810931 0 1 0 0 1 0 0.707118 0.7070956 0 0.7071177 0 -0.7070958 0 1 0 0.6786097 0.6785882 -0.2810819 0.707118 0.7070956 0 0 1 0 0.2810786 0.6785974 -0.6786018 0.6785955 0.6785997 -0.2810882 0 1 0 0 1 0 -0.3826737 0.9238836 0 0 1 0 0 1 0 -0.3826737 0.9238836 0 -0.6786258 0.678578 0.2810676 1 0 0 1 0 0 0.9238773 0 -0.3826889 0.9238773 0 -0.3826889 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 -0.4936756 0.821607 -0.2850375 -0.493677 0.8216093 0.2850285 0 0.8216044 -0.5700581 0.4936773 0.8216065 -0.2850361 0.4936787 0.8216087 0.2850271 0 0.8216136 0.5700448 -0.4936777 0.8216105 -0.2850236 -0.4936791 0.8216128 0.2850146 0 0.8216044 -0.5700581 0.4936879 0.8216023 -0.2850297 0.4936892 0.8216046 0.2850207 0 0.8216136 0.5700448 0.4936756 -0.821607 -0.2850375 0.493677 -0.8216093 0.2850285 0 -0.8216044 -0.5700581 -0.4936773 -0.8216065 -0.2850361 -0.4936787 -0.8216087 0.2850271 0 -0.8216136 0.5700448 0.4936777 -0.8216105 -0.2850236 0.4936791 -0.8216128 0.2850146 0 -0.8216044 -0.5700581 -0.4936879 -0.8216023 -0.2850297 -0.4936892 -0.8216046 0.2850207 0 -0.8216136 0.5700448 0.4936773 -0.8216065 -0.2850362 0.4936787 -0.8216087 0.2850271 0 -0.8216044 -0.5700581 -0.4936756 -0.821607 -0.2850375 -0.493677 -0.8216093 0.2850285 0 -0.8216136 0.5700448 0.4936879 -0.8216023 -0.2850297 0.4936892 -0.8216046 0.2850207 0 -0.8216044 -0.5700581 -0.4936777 -0.8216105 -0.2850236 -0.4936791 -0.8216128 0.2850146 0 -0.8216136 0.5700448 0 -1 0 0.4999913 0 -0.8660303 0 -1 0 -0.5000051 0 -0.8660225 0 -1 0 0 -1 0 0 -1 0 -0.5000051 0 -0.8660225 0 -1 0 1 0 0 0 -1 0 0.4999913 0 -0.8660303 0 -1 0 0.4999915 0 0.8660303 0 -1 0 1 0 0 0 -1 0 -0.5000052 0 0.8660225 0 -1 0 0 -1 0 0.4999915 0 0.8660303 0 -1 0 -1 0 0 -0.5000052 0 0.8660225 0 -1 0 -1 0 0 0 -1 0 -1 0 0 0 -1 0 -0.4999859 0 0.8660336 -0.4999859 0 0.8660336 0 -1 0 -0.4999901 0 -0.8660311 0 -1 0 -1 0 0 0 -1 0 0.5000039 0 -0.8660233 0 -1 0 0 -1 0 0 -1 0 -0.4999901 0 -0.8660311 0 -1 0 1 0 0 0.5000039 0 -0.8660233 0 -1 0 0.4999996 0 0.8660256 0 -1 0 1 0 0 0 -1 0 0.4999996 0 0.8660256 0 -1 0 0.4999895 0 0.8660315 0 -1 0 1 0 0 1 0 0 0 -1 0 -0.4999876 0 0.8660326 0 -1 0 0 -1 0 0.4999895 0 0.8660315 0 -1 0 -1 0 0 0 -1 0 -0.4999876 0 0.8660326 -0.4999874 0 -0.8660327 0 -1 0 -1 0 0 0 -1 0 0.4999893 0 -0.8660315 0 -1 0 -0.4999874 0 -0.8660327 0 -1 0 0.4999893 0 -0.8660315 0 -1 0 0.9237752 0 0.3829353 0 -1 0 1 0 0 0 -1 0 1 0 0 0 -1 0 0.3829296 0 0.9237775 0.9237752 0 0.3829353 0 -1 0 0 0 1 0.3829296 0 0.9237775 0 -1 0 -0.3829296 0 0.9237775 0 -1 0 0 0 1 0 -1 0 -0.9237752 0 0.3829353 -0.3829296 0 0.9237775 0 -1 0 -1 0 0 0 -1 0 -0.9237752 0 0.3829353 0 -1 0 -0.9237808 0 -0.3829215 -1 0 0 0 -1 0 -0.3829363 0 -0.9237747 -0.9237808 0 -0.3829215 0 -1 0 0 0 -1 0 -1 0 0 -1 0 -0.3829363 0 -0.9237747 0 -1 0 0.3829363 0 -0.9237747 0 -1 0 0 0 -1 0 -1 0 0.9237808 0 -0.3829215 0 -1 0 0.3829363 0 -0.9237747 0.9237808 0 -0.3829215 0 -1 0 0.2240279 -0.6890878 -0.6891803 0 -1 0 -0.2241702 -0.6886031 -0.6896184 0 -1 0 0 -1 0 -0.2239214 -0.6891051 -0.6891976 0 -1 0 0.586291 -0.6889759 -0.4261164 0 -1 0 0.2240788 -0.6885326 -0.6897185 0 -1 0 0.7251599 -0.6885805 0 0.5860158 -0.6894029 -0.4258041 0 -1 0 0.5860176 -0.6893444 0.4258964 0 -1 0 0.72516 -0.6885805 0 0 -1 0 0.2241604 -0.6886271 0.6895976 0.586318 -0.6890085 0.4260264 0 -1 0 -0.2240056 -0.6891633 0.689112 0 -1 0 0 -1 0 0.2238849 -0.6891829 0.6891316 0 -1 0 -0.5862554 -0.6890236 0.426088 -0.2240565 -0.6886088 0.6896497 0 -1 0 -0.7251168 -0.6886259 0 -0.5859919 -0.6894326 0.4257891 0 -1 0 -0.5859748 -0.6893872 -0.4258859 0 -1 0 -0.7251629 -0.6885774 1.03046e-5 -0.5863515 -0.688966 -0.4260489 -0.1394191 -0.7002347 0.7001669 0 -1 0 0.1395151 -0.6997487 0.7006335 0.1392344 -0.7002531 0.7001852 0 -1 0 -0.3966444 -0.7000373 0.593819 -0.1393379 -0.6997672 0.7006503 0 -1 0 -0.5939183 -0.6997781 0.3969529 -0.3966047 -0.7002062 0.5936463 0 -1 0 -0.7001395 -0.7003298 0.1390786 0 -1 0 -0.5938121 -0.6999529 0.3968038 0 -1 0 -0.7006065 -0.6998443 -0.1391711 -0.7005878 -0.6998256 0.1393592 -0.5937623 -0.6999698 -0.3968483 -0.7000764 -0.7003569 -0.1392604 -0.3965058 -0.7002577 -0.5936516 -0.5939021 -0.699833 -0.3968805 -0.1395163 -0.699744 -0.7006379 -0.3967302 -0.6999952 -0.5938114 0.139419 -0.700237 -0.7001646 -0.1392316 -0.7002556 -0.7001832 0.3966335 -0.7000566 -0.5938036 0.1393387 -0.6997751 -0.7006422 0.593905 -0.6998035 -0.3969281 0.3965942 -0.7002236 -0.5936328 0 -1 0 0.7001393 -0.7003261 -0.1390978 0.5938172 -0.6999479 -0.3968048 0 -1 0 0.7006045 -0.6998424 0.1391906 0.700586 -0.6998239 -0.1393772 0 -1 0 0.5937654 -0.6999658 0.3968507 0.7000758 -0.7003535 0.1392796 0 -1 0 0.3965293 -0.7002289 0.5936701 0.5939486 -0.6997864 0.3968929 0 -1 0 0.396714 -0.7000126 0.5938016 0.9973121 0 0.07327085 0.9258098 0 0.3779898 0.9258098 0 0.3779898 0.849882 0 -0.5269731 0.9973121 0 0.07327085 0.377991 0 -0.9258093 0.849882 0 -0.5269731 -0.2382037 0 -0.9712152 0.377991 0 -0.9258093 -0.7636095 0 -0.6456784 -0.2382037 0 -0.9712152 -0.925809 0 -0.3779916 -0.7636095 0 -0.6456784 0 -1 0 -0.7753547 0 -0.6315259 -0.925809 0 -0.3779916 0 -1 0 -0.2916151 0 -0.9565358 -0.7753547 0 -0.6315259 0 -1 0 0 0 -1 -0.2916151 0 -0.9565358 0 -1 0 0.2588198 0 -0.9659257 0 0 -1 0 -1 0 0.7071189 0 -0.7070947 0 -1 0 0.2588198 0 -0.9659257 0 0 -1 0.7071189 0 -0.7070947 -0.382687 0 -0.9238781 0 0 -1 -0.9238771 0 -0.3826893 -0.382687 0 -0.9238781 -1 0 0 -0.9238771 0 -0.3826893 0 0 1 -1 0 0 -0.3829348 0 0.9237754 0 0 1 0 -1 0 -0.9237769 0 0.3829309 -0.3829348 0 0.9237754 0 -1 0 -1 0 0 -0.9237769 0 0.3829309 0 -1 0 -0.9237768 0 -0.3829313 -1 0 0 0 -1 0 -0.3829286 0 -0.9237779 -0.9237768 0 -0.3829313 0 -1 0 0 0 -1 -0.3829286 0 -0.9237779 0 -1 0 -1 0 0 0 0 -1 0 -1 0 -0.8660252 0 0.5000004 -1 0 0 0 -1 0 -0.9200882 0 0.3917113 -0.8660252 0 0.5000004 0 -1 0 -0.9871491 0 0.1598021 -0.9200882 0 0.3917113 0 -1 0 -0.9995635 0 0.02954351 -0.9871491 0 0.1598021 0 -1 0 -0.9999516 0 0.009845435 -0.9995635 0 0.02954351 -1 0 0 0 -1 0 0 -1 0 -0.9999516 0 0.009845435 -0.9659344 0 0.2587868 -1 0 0 0 -1 0 -0.7071514 -2.51688e-5 0.7070621 -0.9659346 -9.66503e-7 0.258786 -0.7071716 1.18106e-5 0.7070419 0 -1 0 -0.2588479 2.63491e-5 0.9659181 0.2588212 1.95851e-6 0.9659253 -0.2588691 -1.95433e-6 0.9659125 0.4999993 0 0.8660259 0.2588198 0 0.9659256 0.2588198 0 0.9659256 0.8660293 0 0.4999934 0.8660293 0 0.4999934 0.4999993 0 0.8660259 1 0 0 0.995306 0 0.09677803 1 0 0 0.9580383 0 0.2866404 0.995306 0 0.09677803 0.9580383 0 0.2866404 0 1 0 -0.3779268 0 0.9258354 0 1 0 -0.7034676 0 0.7107273 0 1 0 -0.7034676 0 0.7107273 0 1 0 -0.06109708 0 0.9981318 0 1 0 -0.3779268 0 0.9258354 0 1 0 0.5577048 0 0.8300394 -0.06109708 0 0.9981318 0 1 0 0.947194 0 0.3206609 0 1 0 0.5577048 0 0.8300394 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0.947194 0 0.3206609 0 1 0 0.9877992 0 -0.1557337 0 1 0 1 0 0 0 1 0 0.8922219 0 -0.4515973 0 1 0 0.9877992 0 -0.1557337 0 1 0 0.3779274 0 -0.9258353 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.8922219 0 -0.4515973 0 1 0 -0.005127727 0 -0.9999868 0 1 0 0.3779274 0 -0.9258353 0 1 0 -0.7107352 0 -0.7034597 0 1 0 -0.005127727 0 -0.9999868 0 1 0 -0.9258361 0 -0.3779254 0 1 0 -0.7107352 0 -0.7034597 0 1 0 -0.9999868 0 0.005142331 0 1 0 -0.9258361 0 -0.3779254 0 1 0 -0.9999868 0 0.005142331 0 1 0 0.3779277 0 -0.9258351 0 1 0 0.6683567 0 -0.743841 0 1 0 0.6683567 0 -0.743841 0 1 0 -0.00516051 0 -0.9999867 0.3779277 0 -0.9258351 0 1 0 -0.7107279 0 -0.703467 0 1 0 -0.00516051 0 -0.9999867 0 1 0 -0.9258363 0 -0.3779249 0 1 0 0 1 0 -0.7107279 0 -0.703467 0 1 0 -0.998132 0 -0.06109571 -0.9258363 0 -0.3779249 0 1 0 -0.8300323 0 0.5577152 -0.998132 0 -0.06109571 0 1 0 -0.3206622 0 0.9471936 -0.8300323 0 0.5577152 0 1 0 0 0 1 0 1 0 -0.3206622 0 0.9471936 0 1 0 0.3376772 0 0.941262 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0.8586271 0 0.5126008 0.3376772 0 0.941262 0 1 0 0.9886735 0 -0.150083 0.8586271 0 0.5126008 0.9886735 0 -0.150083 0 1 0 0.3829317 0 0.9237766 0 1 0 -0.3829317 0 0.9237766 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3829317 0 0.9237766 0 1 0 0.9237775 0 0.3829296 0.3829317 0 0.9237766 0 1 0 0.9237725 0 -0.3829417 0 1 0 0.9237775 0 0.3829296 0 1 0 0.3829321 0 -0.9237766 0.9237725 0 -0.3829417 0 1 0 -0.3829321 0 -0.9237766 0 1 0 0 1 0 0.3829321 0 -0.9237766 0 1 0 -0.9237722 0 -0.3829424 0 1 0 -0.3829321 0 -0.9237766 0 1 0 -0.9237772 0 0.3829304 0 1 0 -0.9237722 0 -0.3829424 0 1 0 -0.9237772 0 0.3829304 0.38293 0 0.9237774 0 1 0 -0.382942 0 0.9237723 0 1 0 -0.382942 0 0.9237723 0.9237772 0 0.3829304 0.38293 0 0.9237774 0.9237722 0 -0.3829424 0.9237772 0 0.3829304 0.3829304 0 -0.9237772 0.9237722 0 -0.3829424 0 1 0 -0.3829424 0 -0.9237722 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3829304 0 -0.9237772 0 1 0 -0.9237723 0 -0.382942 0 1 0 -0.3829424 0 -0.9237722 0 1 0 -0.9237774 0 0.38293 0 1 0 -0.9237723 0 -0.382942 0 1 0 -0.9237774 0 0.38293 0 1 0 0.3829317 0 0.9237766 0 1 0 -0.3829317 0 0.9237766 0 1 0 0 1 0 -0.3829317 0 0.9237766 0 1 0 0.9237772 0 0.3829304 0 1 0 0.3829317 0 0.9237766 0 1 0 0.9237722 0 -0.3829424 0 1 0 0.9237772 0 0.3829304 0 1 0 0.3829321 0 -0.9237766 0 1 0 0.9237722 0 -0.3829424 0 1 0 -0.3829321 0 -0.9237766 0 1 0 0 1 0 0.3829321 0 -0.9237766 0 1 0 -0.9237725 0 -0.3829417 -0.3829321 0 -0.9237766 0 1 0 -0.9237775 0 0.3829296 -0.9237725 0 -0.3829417 -0.9237775 0 0.3829296 0.382942 0 0.9237723 -0.38293 0 0.9237774 -0.38293 0 0.9237774 0.9237774 0 0.38293 0.382942 0 0.9237723 0.9237723 0 -0.382942 0.9237774 0 0.38293 0.3829424 0 -0.9237722 0.9237723 0 -0.382942 -0.3829304 0 -0.9237772 0.3829424 0 -0.9237722 -0.9237722 0 -0.3829424 -0.3829304 0 -0.9237772 -0.9237772 0 0.3829304 -0.9237722 0 -0.3829424 -0.9237772 0 0.3829304 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.25932 0 0.9657915 0 1 0 -0.25932 0 0.9657915 0 1 0 0 1 0 -0.25932 0 0.9657915 0 1 0 0.707108 0 0.7071055 0 1 0 0.25932 0 0.9657915 0 1 0 0.9657906 0 0.259323 0 1 0 0.707108 0 0.7071055 0 1 0 0.9657906 0 -0.259323 0 1 0 0.9657906 0 0.259323 0 1 0 0.707103 0 -0.7071105 0 1 0 0.9657906 0 -0.259323 0 1 0 0.2593278 0 -0.9657893 0 1 0 0.707103 0 -0.7071105 0 1 0 -0.2593277 0 -0.9657893 0 1 0 0 1 0 0.2593278 0 -0.9657893 0 1 0 -0.7071033 0 -0.7071104 -0.2593277 0 -0.9657893 0 1 0 -0.9657906 0 -0.2593234 0 1 0 -0.7071033 0 -0.7071104 0 1 0 -0.9657906 0 0.2593234 -0.9657906 0 -0.2593234 0 1 0 -0.7071083 0 0.7071053 -0.9657906 0 0.2593234 -0.7071083 0 0.7071053 0 1 0 0.2593191 0 0.9657917 -0.2593055 0 0.9657953 -0.2593055 0 0.9657953 0 1 0 0.7071076 0 0.7071059 0 1 0 0.2593191 0 0.9657917 0 1 0 0.9657917 0 0.2593191 0.7071076 0 0.7071059 0 1 0 0.9657917 0 -0.2593191 0.9657917 0 0.2593191 0 1 0 0.7071025 0 -0.707111 0.9657917 0 -0.2593191 0 1 0 0.2593269 0 -0.9657896 0.7071025 0 -0.707111 -0.2593133 0 -0.9657932 0.2593269 0 -0.9657896 -0.7071344 0 -0.7070791 -0.2593133 0 -0.9657932 -0.9657893 0 -0.2593285 -0.7071344 0 -0.7070791 -0.9657893 0 0.2593285 -0.9657893 0 -0.2593285 -0.7071394 0 0.7070741 -0.9657893 0 0.2593285 -0.7071394 0 0.7070741 0 1 0 0.3779268 0 -0.9258354 0 1 0 0.6315034 0 -0.7753731 0 1 0 0.6315034 0 -0.7753731 0 1 0 -0.005141139 0 -0.9999868 0 1 0 0.3779268 0 -0.9258354 0 1 0 -0.7107285 0 -0.7034664 0 1 0 -0.005141139 0 -0.9999868 0 1 0 -0.9258355 0 -0.3779268 0 1 0 0 1 0 -0.7107285 0 -0.7034664 -0.9999868 0 0.005142331 -0.9258355 0 -0.3779268 -0.7034567 0 0.7107381 -0.9999868 0 0.005142331 -0.377927 0 0.9258354 -0.7034567 0 0.7107381 -0.2865949 0 0.9580518 -0.377927 0 0.9258354 -0.09673058 0 0.9953106 -0.2865949 0 0.9580518 0 0 1 -0.09673058 0 0.9953106 0.3826893 0 0.9238771 0 0 1 0.9238808 0 0.3826805 0.3826893 0 0.9238771 1 0 0 0.9238808 0 0.3826805 0 1 0 0.9565345 0 -0.2916193 1 0 0 0.9565345 0 -0.2916193 0 1 0 0.9081165 0 0.4187176 0 1 0 0 1 0 1 0 0 0 1 0 0.2712567 0 0.9625071 0.9081165 0 0.4187176 -0.1566989 0 0.9876465 -0.1566989 0 0.9876465 0.2712567 0 0.9625071 0.1993937 0 0.9799195 0 1 0 0.7932786 0 0.6088588 0 1 0 0.1993937 0 0.9799195 0 1 0 0.9981526 0 -0.06075716 0 1 0 0.7932786 0 0.6088588 0 1 0 0.9135457 0 -0.4067361 0.9981526 0 -0.06075716 0 1 0 0.8195259 0 -0.5730422 0.9135457 0 -0.4067361 0 1 0 0.5470942 0 -0.837071 0.8195259 0 -0.5730422 0.3779283 0 -0.9258348 0.5470942 0 -0.837071 -0.005159378 0 -0.9999867 0.3779283 0 -0.9258348 -0.7107297 0 -0.7034652 -0.005159378 0 -0.9999867 0 1 0 -0.9258356 0 -0.3779266 -0.7107297 0 -0.7034652 -0.9999868 0 0.005141079 -0.9258356 0 -0.3779266 -0.7034652 0 0.7107297 -0.9999868 0 0.005141079 -0.3779277 0 0.9258351 -0.7034652 0 0.7107297 0 1 0 0.1018427 0 0.9948005 -0.3779277 0 0.9258351 0 1 0 0.8825344 0 0.4702479 0.1018427 0 0.9948005 1 0 0 0.8825344 0 0.4702479 -0.139422 0.7002367 -0.7001643 0.1395041 0.6997924 -0.7005921 0.1392471 0.7002542 -0.7001817 -0.3966436 0.7000048 -0.5938579 -0.1393331 0.6997249 -0.7006935 -0.5938696 0.6998382 -0.39692 -0.396582 0.7002674 -0.5935896 0 1 0 -0.7001315 0.7003381 -0.1390768 -0.5937864 0.699975 -0.3968032 0 1 0 -0.7006064 0.6998443 0.1391714 -0.7005874 0.6998253 -0.1393621 0 1 0 -0.5937814 0.6999462 0.3968614 -0.7000852 0.7003483 0.1392592 0 1 0 -0.3965557 0.7002001 0.5936863 0 1 0 -0.5939598 0.6997716 0.3969025 0 1 0 -0.1395053 0.6997846 0.7005996 -0.3967001 0.7000312 0.5937892 0 1 0 0.1394221 0.7002344 0.7001666 -0.1392452 0.700252 0.7001842 0 1 0 0.3966427 0.7000206 0.5938399 0.1393345 0.6997298 0.7006883 0 1 0 0.593906 0.6997932 0.3969447 0 1 0 0.396592 0.7002367 0.5936189 0.7001309 0.7003349 0.1390964 0.593797 0.6999727 0.3967916 0.7006045 0.6998424 -0.1391902 0.7005856 0.6998234 0.139381 0.5937917 0.6999425 -0.3968524 0.7000852 0.7003445 -0.1392776 0.3965458 0.7002175 -0.5936723 0.5939393 0.6997981 -0.3968864 0.3966886 0.7000505 -0.593774 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.6248102 4.7417e-5 0.7807768 0.2589129 1.99599e-4 0.9659007 0.8283808 -0.03574448 0.5590239 0.7009453 0.1317636 0.700938 0.9560218 0.06176483 0.2867187 0.9989067 -0.04538959 -0.01118713 0.9604423 0.1061577 0.2574514 0.9408565 0.1476057 -0.3049613 0 1 0 0.816024 -0.02863669 -0.5773082 0 1 0 0.9644716 0.05438125 -0.2585288 0.4550585 0 -0.8904616 0.7006903 0.1343967 -0.700693 0.5850136 -0.0424996 -0.8099092 0.556683 0 -0.830725 -0.188583 1.46147e-4 -0.9820573 0.4552025 -7.51189e-5 -0.890388 -0.7525257 -7.9876e-5 -0.658563 -0.1885772 1.43473e-4 -0.9820584 -0.925832 0 -0.3779352 -0.7526389 0 -0.6584336 -0.9999868 0 0.005141139 -0.925832 0 -0.3779352 0 1 0 -0.7034512 0 0.7107436 0 1 0 -0.9999868 0 0.005141139 -0.3779285 0 0.9258348 -0.7034512 0 0.7107436 -0.06107389 0 0.9981333 -0.3779285 0 0.9258348 0.5576848 0 0.8300527 -0.06107389 0 0.9981333 0.9471958 0 0.3206556 0.5576848 0 0.8300527 0 1 0 1 0 0 0.9471958 0 0.3206556 0 1 0 0.9422928 0 -0.3347902 1 0 0 0 1 0 0.5204393 0 -0.8538987 0 1 0 0.9422928 0 -0.3347902 0 1 0 -0.1343556 0 -0.9909331 0 1 0 0.5204393 0 -0.8538987 -0.5752339 -0.02136927 -0.8177099 -0.3411529 0.2187355 -0.9142043 -0.2586528 0.04492032 -0.9649254 -0.3496192 0 -0.9368919 -0.1343556 0 -0.9909331 -0.7562927 0.2177293 -0.6169403 -0.9168947 -0.01169151 -0.3989579 -0.7069121 0.02348208 -0.7069116 -0.9592005 0.2499287 -0.1321749 -0.9659346 0 0.2587861 -0.9658995 0 -0.2589172 -1 0 0 -1 0 0 0 1 0 0 1 0 -0.7071716 -6.9413e-5 0.707042 -0.9658988 2.86457e-4 0.2589197 -0.2588691 9.52749e-5 0.9659124 -0.7071121 1.0484e-4 0.7071015 -0.2589135 0 0.9659005 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.2589135 0 -0.9659005 0 1 0 0.2343859 0.05167251 -0.9707694 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.1187875 0 -0.9929197 0 1 0 0 1 0 0 1 0 -0.118777 0.013287 -0.992832 0.162926 -0.02661341 -0.9862793 -0.2592843 -0.06375867 -0.9636942 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3089867 0 0.9510664 -0.2238983 0.6891474 0.6891628 -0.3089867 0 0.9510664 0.3089827 0 0.9510677 0.2240682 0.6885586 0.6896959 0.224016 0.6891283 0.6891438 -0.8089833 5.52511e-6 0.5878317 -0.5863383 0.6889759 0.4260511 -0.80899 0 0.5878224 -0.2241732 0.6885929 0.6896276 -1 -6.8297e-6 -1.42071e-5 -0.7251962 0.6885423 -1.0303e-5 -1 6.8297e-6 1.42071e-5 -0.5860075 0.6893458 0.425908 -0.8089912 -5.35774e-6 -0.5878207 -0.5860144 0.6894044 -0.4258036 -0.808991 -5.53565e-6 -0.587821 -0.72515 0.6885909 0 -0.3090054 0 -0.9510602 -0.2240828 0.6885652 -0.6896846 -0.3090014 -2.04406e-6 -0.9510616 -0.5862865 0.6889822 -0.4261124 0.3089867 0 -0.9510664 0.3090014 -7.40151e-6 -0.9510617 0.2239316 0.6890701 -0.6892293 -0.2240381 0.6890528 -0.689212 0.3089827 0 0.9510677 0.808991 0 -0.5878211 0.5863795 0.6889294 -0.4260693 0.8089915 -4.90489e-7 -0.5878202 0.2241807 0.6885675 -0.6896505 1 0 0 0.7251933 0.6885454 0 1 0 0 0.5860006 0.6893532 -0.4259054 0.8089898 0 0.5878227 0.5860469 0.6893608 0.4258295 0.8089898 0 0.5878227 0.7251932 0.6885454 0 0.5863113 0.6889505 0.4261294 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.1950498 0 0.9807934 0.195035 0 0.9807963 0.195035 0 0.9807963 -0.1950498 0 0.9807934 -0.5555149 0 0.8315066 -0.5555149 0 0.8315066 -0.8314495 0 0.5556005 -0.8314495 0 0.5556005 -0.9807842 0 0.1950951 -0.9807842 0 0.1950951 -0.9807835 0 -0.1950991 -0.9807835 0 -0.1950991 -0.8314388 0 -0.5556164 -0.8314388 0 -0.5556164 -0.5555297 0 -0.8314967 -0.5555297 0 -0.8314967 -0.1950318 0 -0.9807969 -0.1950318 0 -0.9807969 0.1950531 0 -0.9807927 0.1950531 0 -0.9807927 0.5555135 0 -0.8315075 0.5555135 0 -0.8315075 0.8314509 0 -0.5555981 0.8314509 0 -0.5555981 0.9807794 0 -0.19512 0.9807794 0 -0.19512 0.9807784 0 0.1951252 0.9807784 0 0.1951252 0.8314508 0 0.5555984 0.8314508 0 0.5555984 0.5555203 0 0.831503 0.5555203 0 0.831503 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.499943 0 -0.8660584 0.4999436 0 -0.8660579 0.4999436 0 -0.8660579 -1 0 0 -0.499943 0 -0.8660584 0 1 0 -0.5000592 0 0.8659912 0 1 0 -1 0 0 0 1 0 0.5000599 0 0.8659908 0 1 0 -0.5000592 0 0.8659912 0 1 0 1 0 0 0.5000599 0 0.8659908 1 0 0 0.8660337 0 -0.4999856 0.8660545 0 0.4999495 0.8660545 0 0.4999495 0 0 -1 0.8660337 0 -0.4999856 0 1 0 -0.8660128 0 -0.5000219 0 0 -1 -0.8660337 0 0.4999858 -0.8660128 0 -0.5000219 0 0 1 -0.8660337 0 0.4999858 0 0 1 0.4999973 0 0.866027 -0.4999966 0 0.8660273 -0.4999966 0 0.8660273 1 0 0 0.4999973 0 0.866027 0 1 0 0.4999973 0 -0.866027 0 1 0 1 0 0 0 1 0 -0.4999966 0 -0.8660273 0 1 0 0.4999973 0 -0.866027 0 1 0 -1 0 0 -0.4999966 0 -0.8660273 -1 0 0 -0.8660352 0 0.499983 -0.8660143 0 -0.5000191 -0.8660143 0 -0.5000191 0 0 1 -0.8660352 0 0.499983 0 1 0 0.866032 0 0.4999886 0 0 1 0.8660112 0 -0.5000247 0.866032 0 0.4999886 0 0 -1 0.8660112 0 -0.5000247 0 0 -1 0 1 0 0.5000004 0 0.8660252 0 1 0 -0.4999977 3.78546e-4 0.8660267 0 1 0 0 1 0 0 1 0 -0.500653 0 0.8656481 0 1 0 1 0 0 0 1 0 0.5006556 3.78371e-4 0.8656464 0.5000004 3.78545e-4 -0.866025 1 0 0 -0.4999977 0 -0.8660268 0.5006557 0 -0.8656466 -1 0 0 -0.500653 3.7838e-4 -0.8656481 0 1 0 -1 0 0 0.5000032 0 0.8660235 -0.4999856 3.76398e-4 0.8660336 -0.5006372 0 0.8656573 1 0 0 0.5006547 3.76224e-4 0.865647 0 1 0 0.4999995 3.76394e-4 -0.8660256 0 1 0 1 0 0 0 1 0 -0.4999819 0 -0.8660358 0 1 0 0 1 0 0 1 0 0.5006511 0 -0.8656492 0 1 0 -1 0 0 0 1 0 -0.5006334 3.76235e-4 -0.8656593 -1 0 0 0.5000041 0 0.866023 -0.5000014 3.76394e-4 0.8660245 -0.500653 0 0.8656481 1 0 0 0.5006556 3.76225e-4 0.8656464 0.5000004 3.76394e-4 -0.866025 1 0 0 -0.4999977 0 -0.8660268 0.5006519 0 -0.8656486 -1 0 0 -0.5006492 3.76231e-4 -0.8656502 -1 0 0 0.4999995 0 0.8660257 -0.4999819 3.7855e-4 0.8660358 -0.5006372 0 0.8656573 1 0 0 0.5006547 3.78371e-4 0.865647 0.4999995 3.78545e-4 -0.8660256 1 0 0 -0.4999819 0 -0.8660358 0.5006548 0 -0.865647 -1 0 0 -0.5006371 3.78384e-4 -0.8656572 -1 0 0 -0.2239076 0.6891767 -0.6891305 0.2239055 0.6891832 -0.6891248 0.2239083 0.6891767 -0.6891304 -0.5862164 0.6891554 -0.4259285 -0.223909 0.6891685 -0.6891382 -0.7245451 0.6892275 6.00479e-6 -0.586144 0.68926 -0.425859 -0.586169 0.6892207 0.4258881 -0.7245886 0.6891817 0 -0.2238978 0.6891812 0.6891293 -0.5861944 0.6891907 0.4259017 0.2239047 0.6891823 0.6891258 -0.2238967 0.6891836 0.6891271 0.5861998 0.6891847 0.425904 0.2239065 0.6891717 0.6891358 0.7246093 0.6891599 0 0.5862192 0.6891567 0.4259227 0.5862075 0.6891711 -0.4259153 0.7245997 0.68917 -1.32427e-6 0.5861889 0.6891931 -0.4259054 0 1 0 -0.3091464 0 0.9510145 0 1 0 0.3091437 4.05793e-4 0.9510152 0 1 0 0.309008 0 0.9510595 0 1 0 -0.8091216 3.86011e-4 0.5876412 0 1 0 0 1 0 -0.3089992 4.39957e-4 0.9510623 -0.8090128 -1.40674e-4 0.5877913 -1 9.61124e-5 0 0 1 0 -0.8091216 3.61478e-4 -0.5876412 0 1 0 -1 9.61124e-5 0 0 1 0 -0.3091463 4.07521e-4 -0.9510143 0 1 0 0 1 0 -0.8090167 -1.45877e-4 -0.5877857 0 1 0 0.3091437 0 -0.9510154 0 1 0 -0.30901 0 -0.9510588 0 1 0 0.8091251 3.83658e-4 -0.5876364 0 1 0 0 1 0 0.3090123 3.92811e-4 -0.9510579 0.8090076 -1.8463e-4 -0.5877981 1 9.76025e-5 0 0 1 0 0.8091251 3.91401e-4 0.5876364 0 1 0 1 1.02794e-4 -1.82626e-6 0 1 0 0 1 0 0.8090107 -1.61746e-4 0.5877938 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2849984 0.8216024 -0.4937059 -0.2849979 0.8216025 -0.4937059 0.5700451 0.8216134 0 0.2850497 0.8216231 0.4936418 -0.2850493 0.8216232 0.4936419 -0.5700445 0.8216139 0 0.4936895 0.821614 0.2849934 0.4936856 0.8216075 -0.2850186 0 0.8216283 0.5700236 -0.4936695 0.8216204 0.2850094 -0.4936655 0.821614 -0.2850346 0 0.8216026 -0.5700607 -0.2850216 0.8216121 0.4936764 0.285022 0.8216119 0.4936763 -0.5700445 0.8216139 0 -0.2850216 0.8216121 -0.4936764 0.285022 0.8216119 -0.4936763 0.5700451 0.8216134 0 -0.4936655 0.8216148 -0.2850324 -0.4936693 0.8216212 0.2850072 0 0.8216027 -0.5700607 0.4936807 0.8216011 -0.2850455 0.4936847 0.8216075 0.2850202 0 0.8216283 0.5700236 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.5000051 0 -0.8660225 0 1 0 0.4999913 0 -0.8660303 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.4999913 0 -0.8660303 0 1 0 -1 0 0 0 1 0 -0.5000051 0 -0.8660225 0 1 0 -0.5000052 0 0.8660225 0 1 0 -1 0 0 0 1 0 0.4999915 0 0.8660303 0 1 0 0 1 0 -0.5000052 0 0.8660225 0 1 0 1 0 0 0 1 0 0.4999915 0 0.8660303 0 1 0 0 1 0 1 0 0 0 1 0 -0.4999859 0 0.8660336 0 1 0 -1 0 0 0 1 0 -1 0 0 0 1 0 0.4999996 0 0.8660256 0 1 0 -0.4999859 0 0.8660336 0 1 0 1 0 0 0.4999996 0 0.8660256 0 1 0 0.5000039 0 -0.8660233 0 1 0 1 0 0 0 1 0 -0.4999901 0 -0.8660311 0 1 0 0 1 0 0.5000039 0 -0.8660233 -0.4999901 0 -0.8660311 0 1 0 1 0 0 0 1 0 0.4999895 0 0.8660315 0 1 0 0 1 0 0.4999895 0 0.8660315 0 1 0 0.4999893 0 -0.8660315 1 0 0 0 1 0 -0.4999874 0 -0.8660327 0.4999893 0 -0.8660315 0 1 0 -1 0 0 0 1 0 -0.4999874 0 -0.8660327 0 1 0 -0.4999876 0 0.8660326 0 1 0 -1 0 0 0 1 0 0 1 0 -0.4999876 0 0.8660326 0 1 0 1 0 0 0 1 0 0.9237752 0 0.3829353 0 1 0 0.9237752 0 0.3829353 0 1 0 0.9237808 0 -0.3829215 1 0 0 0 1 0 0.3829363 0 -0.9237747 0.9237808 0 -0.3829215 0 1 0 0 0 -1 0.3829363 0 -0.9237747 -0.3829363 0 -0.9237747 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 -0.9237808 0 -0.3829215 -0.3829363 0 -0.9237747 0 1 0 -1 0 0 0 1 0 -0.9237808 0 -0.3829215 0 1 0 -0.9237752 0 0.3829353 -1 0 0 0 1 0 -0.3829296 0 0.9237775 0 1 0 -0.9237752 0 0.3829353 0 1 0 0 0 1 0 1 0 -0.3829296 0 0.9237775 0 1 0 0.3829296 0 0.9237775 0 1 0 0 0 1 0 1 0 0.3829296 0 0.9237775 0 1 0 -0.2240278 0.6890879 -0.6891803 0 1 0 0.2241853 0.6885518 -0.6896647 0 1 0 0.2239102 0.689107 -0.6891995 0 1 0 -0.5862878 0.6889805 -0.4261133 0 1 0 -0.2240738 0.6885858 -0.6896671 0 1 0 -0.7251613 0.688579 0 -0.5860164 0.6894016 -0.4258055 0 1 0 -0.5859515 0.6894186 0.4258672 0 1 0 -0.7251152 0.6886277 1.03039e-5 0 1 0 -0.2241629 0.688628 0.6895959 -0.5863173 0.6890096 0.4260256 0 1 0 0.2240028 0.6891638 0.6891125 -0.223888 0.6891825 0.6891312 0 1 0 0.5862671 0.6890201 0.4260777 0 1 0 0.2240538 0.6886079 0.6896515 0 1 0 0.7251599 0.6885805 0 0.5860507 0.6893559 0.4258322 0 1 0 0.5859737 0.6893883 -0.4258857 0 1 0 0.72516 0.6885805 0 0.5863557 0.6889612 -0.4260511 0 1 0 0.1394221 0.7002344 0.7001666 0 1 0 -0.1395053 0.6997846 0.7005996 -0.1392452 0.700252 0.7001842 0 1 0 0.3966427 0.7000206 0.5938399 0.1393345 0.6997298 0.7006883 0 1 0 0.593906 0.6997932 0.3969447 0 1 0 0.396592 0.7002367 0.5936189 0.7001309 0.7003349 0.1390964 0.593797 0.6999727 0.3967916 0.7006045 0.6998424 -0.1391902 0.7005856 0.6998234 0.139381 0.5937917 0.6999425 -0.3968524 0.7000852 0.7003445 -0.1392776 0.3965458 0.7002175 -0.5936723 0.5939393 0.6997981 -0.3968864 0.1395041 0.6997924 -0.7005921 0.3966886 0.7000505 -0.593774 -0.139422 0.7002367 -0.7001643 0.1392471 0.7002542 -0.7001817 -0.3966436 0.7000048 -0.5938579 -0.1393331 0.6997249 -0.7006935 -0.5938696 0.6998382 -0.39692 -0.396582 0.7002674 -0.5935896 0 1 0 -0.7001315 0.7003381 -0.1390768 -0.5937864 0.699975 -0.3968032 0 1 0 -0.7006064 0.6998443 0.1391714 -0.7005874 0.6998253 -0.1393621 0 1 0 -0.5937814 0.6999462 0.3968614 -0.7000852 0.7003483 0.1392592 0 1 0 -0.3965557 0.7002001 0.5936863 0 1 0 -0.5939598 0.6997716 0.3969025 -0.3967001 0.7000312 0.5937892 0 1 0 0.9258098 0 0.3779898 0 1 0 0 1 0 0 1 0 0 1 0 0.9973121 0 0.07327085 0.9973121 0 0.07327085 0 1 0 0.9580383 0 0.2866404 0 1 0 0.9258098 0 0.3779898 0 1 0 0.995306 0 0.09677803 0.9580383 0 0.2866404 1 0 0 0.995306 0 0.09677803 0.8660293 0 0.4999934 1 0 0 0.8660293 0 0.4999934 0 1 0 0.4999993 0 0.8660259 0 1 0 0 1 0 0.2588212 0 0.9659253 0.4999993 0 0.8660259 -0.2588479 1.95871e-6 0.9659181 0.2586722 -1.99685e-4 0.9659652 0.258912 -1.95436e-6 0.965901 -0.7071514 2.51672e-5 0.7070621 -0.2588691 -2.63724e-5 0.9659125 -0.9659344 9.86638e-7 0.2587868 -0.7071716 -1.18164e-5 0.7070419 -1 0 0 -0.9659346 0 0.258786 -0.9999516 0 0.009845435 -1 0 0 -0.9995635 0 0.02954351 -0.9999516 0 0.009845435 -0.9871491 0 0.1598021 -0.9995635 0 0.02954351 -0.9200882 0 0.3917113 -0.9871491 0 0.1598021 0 1 0 -0.8660252 0 0.5000004 0 1 0 -0.9200882 0 0.3917113 0 1 0 -1 0 0 -0.8660252 0 0.5000004 0 0 -1 -1 0 0 -0.3829286 0 -0.9237779 0 0 -1 -0.9237768 0 -0.3829313 -0.3829286 0 -0.9237779 -1 0 0 -0.9237768 0 -0.3829313 -0.9237769 0 0.3829309 -1 0 0 -0.3829348 0 0.9237754 -0.9237769 0 0.3829309 0 0 1 -0.3829348 0 0.9237754 -1 0 0 0 0 1 -0.9238771 0 -0.3826893 -1 0 0 0 1 0 -0.382687 0 -0.9238781 0 1 0 -0.9238771 0 -0.3826893 0 0 -1 -0.382687 0 -0.9238781 0.7071189 0 -0.7070947 0 0 -1 0.2588198 0 -0.9659257 0.7071189 0 -0.7070947 0 0 -1 0.2588198 0 -0.9659257 -0.2916151 0 -0.9565358 0 0 -1 -0.7753547 0 -0.6315259 -0.2916151 0 -0.9565358 -0.925809 0 -0.3779916 -0.7753547 0 -0.6315259 -0.7636095 0 -0.6456784 -0.925809 0 -0.3779916 -0.2382037 0 -0.9712152 -0.7636095 0 -0.6456784 0.377991 0 -0.9258093 -0.2382037 0 -0.9712152 0.849882 0 -0.5269731 0.377991 0 -0.9258093 0.849882 0 -0.5269731 0 -1 0 -0.7034676 0 0.7107273 0 -1 0 -0.3779268 0 0.9258354 -0.3779268 0 0.9258354 0 -1 0 -0.9999868 0 0.005142331 0 -1 0 -0.7034676 0 0.7107273 0 -1 0 -0.9258361 0 -0.3779254 0 -1 0 -0.9999868 0 0.005142331 0 -1 0 -0.7107352 0 -0.7034597 -0.9258361 0 -0.3779254 0 -1 0 -0.005127727 0 -0.9999868 -0.7107352 0 -0.7034597 0 -1 0 0.3779274 0 -0.9258353 0 -1 0 0 -1 0 -0.005127727 0 -0.9999868 0 -1 0 0.8922219 0 -0.4515973 0 -1 0 0 -1 0 0.3779274 0 -0.9258353 0 -1 0 0.9877992 0 -0.1557337 0.8922219 0 -0.4515973 0 -1 0 1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9877992 0 -0.1557337 0 -1 0 0.947194 0 0.3206609 0 -1 0 1 0 0 0 -1 0 0.5577048 0 0.8300394 0.947194 0 0.3206609 0 -1 0 -0.06109708 0 0.9981318 0 -1 0 0 -1 0 0.5577048 0 0.8300394 0 -1 0 -0.06109708 0 0.9981318 0 -1 0 0.6683567 0 -0.743841 0 -1 0 0.3779277 0 -0.9258351 0.3779277 0 -0.9258351 0 -1 0 0.9886735 0 -0.150083 0.6683567 0 -0.743841 0 -1 0 0.8586271 0 0.5126008 0.9886735 0 -0.150083 0 -1 0 0.3376772 0 0.941262 0 -1 0 0 -1 0 0.8586271 0 0.5126008 0 -1 0 0 0 1 0 -1 0 0.3376772 0 0.941262 0 -1 0 -0.3206622 0 0.9471936 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 -0.8300323 0 0.5577152 0 -1 0 0 -1 0 0 -1 0 -0.3206622 0 0.9471936 0 -1 0 -0.998132 0 -0.06109571 0 -1 0 -0.8300323 0 0.5577152 0 -1 0 -0.9258363 0 -0.3779249 0 -1 0 -0.998132 0 -0.06109571 0 -1 0 -0.7107279 0 -0.703467 0 -1 0 -0.9258363 0 -0.3779249 0 -1 0 -0.00516051 0 -0.9999867 0 -1 0 -0.7107279 0 -0.703467 0 -1 0 0 -1 0 -0.00516051 0 -0.9999867 0 -1 0 -0.3829317 0 0.9237766 0 -1 0 0.3829317 0 0.9237766 0 -1 0 0 -1 0 0 -1 0 0.3829317 0 0.9237766 0 -1 0 -0.9237772 0 0.3829304 0 -1 0 -0.3829317 0 0.9237766 0 -1 0 -0.9237722 0 -0.3829424 0 -1 0 -0.9237772 0 0.3829304 0 -1 0 -0.3829321 0 -0.9237766 0 -1 0 -0.9237722 0 -0.3829424 0 -1 0 0.3829321 0 -0.9237766 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3829321 0 -0.9237766 0 -1 0 0.9237725 0 -0.3829417 0 -1 0 0 -1 0 0.3829321 0 -0.9237766 0 -1 0 0.9237775 0 0.3829296 0.9237725 0 -0.3829417 0.9237775 0 0.3829296 0 -1 0 -0.382942 0 0.9237723 0.38293 0 0.9237774 0 -1 0 0 -1 0 0.38293 0 0.9237774 0 -1 0 -0.9237774 0 0.38293 0 -1 0 -0.382942 0 0.9237723 0 -1 0 -0.9237723 0 -0.382942 0 -1 0 -0.9237774 0 0.38293 0 -1 0 -0.3829424 0 -0.9237722 0 -1 0 -0.9237723 0 -0.382942 0.3829304 0 -0.9237772 -0.3829424 0 -0.9237722 0.9237722 0 -0.3829424 0.3829304 0 -0.9237772 0.9237772 0 0.3829304 0.9237722 0 -0.3829424 0.9237772 0 0.3829304 -0.3829317 0 0.9237766 0 -1 0 0.3829317 0 0.9237766 0 -1 0 0 -1 0 0.3829317 0 0.9237766 -0.9237775 0 0.3829296 -0.3829317 0 0.9237766 -0.9237725 0 -0.3829417 -0.9237775 0 0.3829296 -0.3829321 0 -0.9237766 -0.9237725 0 -0.3829417 0 -1 0 0.3829321 0 -0.9237766 0 -1 0 -0.3829321 0 -0.9237766 0 -1 0 0.9237722 0 -0.3829424 0 -1 0 0.3829321 0 -0.9237766 0 -1 0 0.9237772 0 0.3829304 0 -1 0 0.9237722 0 -0.3829424 0 -1 0 0.9237772 0 0.3829304 -0.38293 0 0.9237774 0.382942 0 0.9237723 0.382942 0 0.9237723 -0.9237772 0 0.3829304 -0.38293 0 0.9237774 -0.9237722 0 -0.3829424 -0.9237772 0 0.3829304 -0.3829304 0 -0.9237772 -0.9237722 0 -0.3829424 0.3829424 0 -0.9237722 -0.3829304 0 -0.9237772 0.9237723 0 -0.382942 0.3829424 0 -0.9237722 0.9237774 0 0.38293 0.9237723 0 -0.382942 0.9237774 0 0.38293 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.25932 0 0.9657915 0 -1 0 0.25932 0 0.9657915 0.25932 0 0.9657915 0 -1 0 -0.7071083 0 0.7071053 0 -1 0 -0.25932 0 0.9657915 0 -1 0 -0.9657906 0 0.2593234 -0.7071083 0 0.7071053 0 -1 0 -0.9657906 0 -0.2593234 -0.9657906 0 0.2593234 0 -1 0 -0.7071033 0 -0.7071104 -0.9657906 0 -0.2593234 0 -1 0 -0.2593277 0 -0.9657893 -0.7071033 0 -0.7071104 0 -1 0 0.2593278 0 -0.9657893 0 -1 0 0 -1 0 -0.2593277 0 -0.9657893 0 -1 0 0.707103 0 -0.7071105 0 -1 0 0.2593278 0 -0.9657893 0 -1 0 0.9657906 0 -0.259323 0 -1 0 0.707103 0 -0.7071105 0 -1 0 0.9657906 0 0.259323 0 -1 0 0.9657906 0 -0.259323 0 -1 0 0.707108 0 0.7071055 0 -1 0 0.9657906 0 0.259323 0 -1 0 0.707108 0 0.7071055 -0.2593055 0 0.9657953 0 -1 0 0.2593191 0 0.9657917 0.2593191 0 0.9657917 -0.7071394 0 0.7070741 -0.2593055 0 0.9657953 -0.9657893 0 0.2593285 -0.7071394 0 0.7070741 -0.9657893 0 -0.2593285 -0.9657893 0 0.2593285 -0.7071344 0 -0.7070791 -0.9657893 0 -0.2593285 -0.2593133 0 -0.9657932 -0.7071344 0 -0.7070791 0 -1 0 0.2593269 0 -0.9657896 0 -1 0 0 -1 0 0 -1 0 -0.2593133 0 -0.9657932 0 -1 0 0.7071025 0 -0.707111 0 -1 0 0 -1 0 0.2593269 0 -0.9657896 0 -1 0 0.9657917 0 -0.2593191 0 -1 0 0.7071025 0 -0.707111 0 -1 0 0.9657917 0 0.2593191 0.9657917 0 -0.2593191 0 -1 0 0.7071076 0 0.7071059 0.9657917 0 0.2593191 0.7071076 0 0.7071059 0.6315034 0 -0.7753731 0 -1 0 0.3779268 0 -0.9258354 0.3779268 0 -0.9258354 0.9565345 0 -0.2916193 0.6315034 0 -0.7753731 1 0 0 0.9565345 0 -0.2916193 0.9238808 0 0.3826805 1 0 0 0.3826893 0 0.9238771 0.9238808 0 0.3826805 0 0 1 0.3826893 0 0.9238771 -0.09673058 0 0.9953106 0 0 1 -0.2865949 0 0.9580518 -0.09673058 0 0.9953106 -0.377927 0 0.9258354 -0.2865949 0 0.9580518 -0.7034567 0 0.7107381 -0.377927 0 0.9258354 -0.9999868 0 0.005142331 -0.7034567 0 0.7107381 0 -1 0 -0.9258355 0 -0.3779268 -0.9999868 0 0.005142331 0 -1 0 -0.7107285 0 -0.7034664 0 -1 0 -0.9258355 0 -0.3779268 0 -1 0 -0.005141139 0 -0.9999868 0 -1 0 -0.7107285 0 -0.7034664 0 -1 0 0 -1 0 -0.005141139 0 -0.9999868 0 -1 0 1 0 0 0 -1 0 0 -1 0 0.9081165 0 0.4187176 0.9081165 0 0.4187176 1 0 0 0 -1 0 0.8825344 0 0.4702479 0.1018427 0 0.9948005 0.8825344 0 0.4702479 -0.3779277 0 0.9258351 0.1018427 0 0.9948005 -0.7034652 0 0.7107297 -0.3779277 0 0.9258351 -0.9999868 0 0.005141079 -0.7034652 0 0.7107297 0 -1 0 -0.9258356 0 -0.3779266 -0.9999868 0 0.005141079 0 -1 0 -0.7107297 0 -0.7034652 -0.9258356 0 -0.3779266 -0.005159378 0 -0.9999867 -0.7107297 0 -0.7034652 0.3779283 0 -0.9258348 -0.005159378 0 -0.9999867 0.5470942 0 -0.837071 0.3779283 0 -0.9258348 0 -1 0 0.8195259 0 -0.5730422 0.5470942 0 -0.837071 0 -1 0 0.9135457 0 -0.4067361 0.8195259 0 -0.5730422 0 -1 0 0.9981526 0 -0.06075716 0.9135457 0 -0.4067361 0 -1 0 0.7932786 0 0.6088588 0.9981526 0 -0.06075716 0 -1 0 0.1993937 0 0.9799195 0.7932786 0 0.6088588 0 -1 0 -0.1566989 0 0.9876465 -0.1566989 0 0.9876465 0.1993937 0 0.9799195 0.2712567 0 0.9625071 0.2712567 0 0.9625071 0.139419 -0.700237 -0.7001646 -0.1395163 -0.699744 -0.7006379 -0.1392316 -0.7002556 -0.7001832 0.3966335 -0.7000566 -0.5938036 0.1393387 -0.6997751 -0.7006422 0.593905 -0.6998035 -0.3969281 0.3965942 -0.7002236 -0.5936328 0 -1 0 0.7001393 -0.7003261 -0.1390978 0.5938172 -0.6999479 -0.3968048 0 -1 0 0.7006045 -0.6998424 0.1391906 0.700586 -0.6998239 -0.1393772 0 -1 0 0.5937654 -0.6999658 0.3968507 0.7000758 -0.7003535 0.1392796 0 -1 0 0.3965293 -0.7002289 0.5936701 0.5939486 -0.6997864 0.3968929 0 -1 0 0.1395151 -0.6997487 0.7006335 0 -1 0 0.396714 -0.7000126 0.5938016 -0.1394191 -0.7002347 0.7001669 0.1392344 -0.7002531 0.7001852 0 -1 0 -0.3966444 -0.7000373 0.593819 -0.1393379 -0.6997671 0.7006503 0 -1 0 -0.5939183 -0.6997781 0.3969529 -0.3966047 -0.7002062 0.5936463 0 -1 0 -0.7001395 -0.7003298 0.1390786 0 -1 0 -0.5938121 -0.6999529 0.3968038 0 -1 0 -0.7006065 -0.6998443 -0.1391711 -0.7005878 -0.6998256 0.1393592 -0.5937623 -0.6999698 -0.3968483 -0.7000764 -0.7003569 -0.1392604 -0.3965058 -0.7002577 -0.5936516 -0.5939021 -0.699833 -0.3968805 -0.3967302 -0.6999952 -0.5938114 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.9906391 0 -0.136507 -0.9659345 -2.86545e-4 0.258786 -0.9658989 0 0.2589197 -0.9168947 0.01169151 -0.3989579 -0.9570869 -0.1347749 -0.2565549 0 -1 0 -0.7748055 -0.0141195 -0.632042 0 -1 0 -0.5752339 0.02136927 -0.8177099 0 -1 0 0 -1 0 -0.700874 -0.1324831 -0.7008736 -0.1343556 0 -0.9909331 -0.259813 0 -0.9656589 -0.3473727 0.1131827 -0.9308717 -0.3494902 -0.02716523 -0.9365462 0.5204393 0 -0.8538987 -0.1343556 0 -0.9909331 0.9422928 0 -0.3347902 0.5204393 0 -0.8538987 1 0 0 0.9422928 0 -0.3347902 0.9471958 0 0.3206556 1 0 0 0.5576848 0 0.8300527 0.9471958 0 0.3206556 -0.06107389 0 0.9981333 0.5576848 0 0.8300527 -0.3779285 0 0.9258348 -0.06107389 0 0.9981333 -0.7034512 0 0.7107436 -0.3779285 0 0.9258348 0 -1 0 -0.9999868 0 0.005141139 -0.7034512 0 0.7107436 0 -1 0 -0.925832 0 -0.3779352 -0.9999868 0 0.005141139 0 -1 0 -0.7525257 0 -0.658563 -0.925832 0 -0.3779352 0 -1 0 -0.188583 -1.43471e-4 -0.9820573 -0.7526389 7.99337e-5 -0.6584335 0 -1 0 0.4550585 7.5053e-5 -0.8904616 0 -1 0 -0.1885773 -1.46145e-4 -0.9820584 0.816024 0.02863675 -0.5773082 0.6159954 0 -0.7877497 0.4552025 0 -0.890388 0.7006903 -0.1343967 -0.700693 0 -1 0 0.9504175 -0.04249298 -0.3080603 0 -1 0 0.9989067 0.04538959 -0.01118713 0.9594107 -0.1157306 -0.2571722 0 -1 0 0.9506961 -0.1219939 0.2851215 0 -1 0 0 -1 0 0.8283808 0.03574454 0.5590239 0.9634581 -0.07106536 0.2582598 0 -1 0 0.6091342 -0.2225953 0.7611877 0.7071105 -4.21841e-6 0.7071031 0.5563603 0.03403967 -0.8302437 0 -1 0 0 -1 0 0 -1 0 0.162926 0.02661341 -0.9862793 0 -1 0 0.1874604 0 -0.9822722 0.2586428 -0.04571557 -0.9648907 0 -1 0 0 -1 0 -0.118777 -0.013287 -0.992832 0 -1 0 0 -1 0 0 -1 0 -0.1139402 -0.2827497 -0.9524024 -0.2589141 0 -0.9659003 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2589129 0 0.9659007 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.2588691 0 0.9659124 -0.2589135 -9.525e-5 0.9659005 0 -1 0 0 -1 0 0 -1 0 -0.7071716 6.93695e-5 0.707042 -0.7071121 -1.0484e-4 0.7071015 -0.3089867 0 0.9510664 0.3089827 0 0.9510677 -0.2240667 -0.6885737 0.6896814 0.3089827 0 0.9510677 0.2238952 -0.6891479 0.6891633 -0.2240159 -0.6891283 0.6891437 -0.3089867 0 0.9510664 -0.80899 -5.52516e-6 0.5878224 -0.8089833 0 0.5878317 -1 6.8297e-6 1.42071e-5 -1 -6.8297e-6 -1.42071e-5 -0.808991 5.35774e-6 -0.587821 -0.8089912 5.5123e-6 -0.5878207 -0.3090014 0 -0.9510616 -0.3090054 2.04409e-6 -0.9510602 0.3090014 0 -0.9510617 0.3089867 7.40166e-6 -0.9510664 -0.2239347 -0.6890696 -0.6892288 0.2240843 -0.6885501 -0.6896992 0.2240381 -0.6890528 -0.689212 -0.5863504 -0.6889677 -0.4260478 -0.2241764 -0.6885821 -0.6896373 -0.7251485 -0.6885926 -1.03023e-5 -0.5859727 -0.68939 -0.4258843 -0.586044 -0.6893583 0.4258373 -0.7251946 -0.688544 0 -0.5862824 -0.6889886 0.4261077 0.8089915 0 -0.5878202 0.808991 4.90501e-7 -0.5878211 1 0 0 1 0 0 0.8089898 0 0.5878227 0.8089898 0 0.5878227 0.5863733 -0.6889364 0.4260666 0.2241775 -0.6885784 0.6896407 0.7251933 -0.6885454 0 0.5860064 -0.6893468 0.4259078 0.5860424 -0.6893676 -0.4258244 0.7251933 -0.6885454 0 0.5863155 -0.6889441 -0.4261341 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.1950498 0 0.9807934 -0.1950498 0 0.9807934 0.195035 0 0.9807963 -0.5555149 0 0.8315066 -0.5555149 0 0.8315066 -0.8314495 0 0.5556005 -0.8314495 0 0.5556005 -0.9807842 0 0.1950951 -0.9807842 0 0.1950951 -0.9807835 0 -0.1950991 -0.9807835 0 -0.1950991 -0.8314388 0 -0.5556164 -0.8314388 0 -0.5556164 -0.5555297 0 -0.8314967 -0.5555297 0 -0.8314967 -0.1950318 0 -0.9807969 -0.1950318 0 -0.9807969 0.1950531 0 -0.9807927 0.1950531 0 -0.9807927 0.195035 0 0.9807963 0.5555135 0 -0.8315075 0.5555135 0 -0.8315075 0.8314509 0 -0.5555981 0.8314509 0 -0.5555981 0.9807794 0 -0.19512 0.9807794 0 -0.19512 0.9807784 0 0.1951252 0.9807784 0 0.1951252 0.8314508 0 0.5555984 0.8314508 0 0.5555984 0.5555203 0 0.831503 0.5555203 0 0.831503 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.4999436 0 -0.8660579 -0.499943 0 -0.8660584 -0.499943 0 -0.8660584 1 0 0 0.4999436 0 -0.8660579 0 -1 0 0.5000599 0 0.8659908 0 -1 0 1 0 0 0 -1 0 -0.5000592 0 0.8659912 0 -1 0 0.5000599 0 0.8659908 0 -1 0 -1 0 0 -0.5000592 0 0.8659912 -1 0 0 0.8660545 0 0.4999495 0.8660337 0 -0.4999856 0.8660337 0 -0.4999856 0 0 1 0.8660545 0 0.4999495 0 -1 0 -0.8660337 0 0.4999858 0 0 1 -0.8660128 0 -0.5000219 -0.8660337 0 0.4999858 0 0 -1 -0.8660128 0 -0.5000219 0 0 -1 -0.4999966 0 0.8660273 0.4999973 0 0.866027 0.4999973 0 0.866027 -1 0 0 -0.4999966 0 0.8660273 0 -1 0 -0.4999966 0 -0.8660273 0 -1 0 -1 0 0 0 -1 0 0.4999973 0 -0.866027 0 -1 0 -0.4999966 0 -0.8660273 0 -1 0 1 0 0 0.4999973 0 -0.866027 1 0 0 -0.8660143 0 -0.5000191 -0.8660352 0 0.499983 -0.8660352 0 0.499983 0 0 -1 -0.8660143 0 -0.5000191 0 -1 0 0.8660112 0 -0.5000247 0 0 -1 0.866032 0 0.4999886 0.8660112 0 -0.5000247 0 0 1 0.866032 0 0.4999886 0 0 1 0 -1 0 -0.4999977 0 0.8660268 0 -1 0 0.5000004 -3.78545e-4 0.866025 0 -1 0 0.5006557 0 0.8656466 -1 0 0 -0.500653 -3.78369e-4 0.8656481 -0.4999977 -3.78546e-4 -0.8660267 -1 0 0 0.5000004 0 -0.8660252 -0.500653 0 -0.8656481 1 0 0 0.5006556 -3.7838e-4 -0.8656464 0 -1 0 1 0 0 -0.4999856 0 0.8660337 0.5000032 -3.76393e-4 0.8660234 0.5006548 0 0.865647 -1 0 0 -0.5006371 -3.76236e-4 0.8656572 0 -1 0 -0.4999819 -3.76399e-4 -0.8660358 0 -1 0 -1 0 0 0 -1 0 0.4999995 0 -0.8660257 0 -1 0 -0.5006334 0 -0.8656594 1 0 0 0.5006511 -3.76231e-4 -0.8656492 1 0 0 -0.5000015 0 0.8660246 0.5000041 -3.76393e-4 0.866023 0.5006557 0 0.8656466 -1 0 0 -0.500653 -3.76223e-4 0.8656481 -0.4999977 -3.76395e-4 -0.8660267 -1 0 0 0 -1 0 0.5000004 0 -0.8660252 0 -1 0 -0.5006493 0 -0.8656503 0 -1 0 1 0 0 0 -1 0 0.5006519 -3.76231e-4 -0.8656486 1 0 0 0 -1 0 -0.4999819 0 0.8660358 0.4999995 -3.78545e-4 0.8660256 0 -1 0 0.5006548 0 0.865647 0 -1 0 -1 0 0 0 -1 0 -0.5006371 -3.78382e-4 0.8656572 -0.4999819 -3.7855e-4 -0.8660358 -1 0 0 0.4999995 0 -0.8660257 -0.5006372 0 -0.8656573 1 0 0 0.5006547 -3.7838e-4 -0.865647 1 0 0 0.2239074 -0.6891767 -0.6891305 -0.22391 -0.6891686 -0.6891378 -0.2239065 -0.6891769 -0.6891307 0.5861909 -0.6891927 -0.4259033 0.2239062 -0.6891835 -0.6891242 0.7245999 -0.6891698 0 0.5862061 -0.6891707 -0.4259179 0.5862209 -0.6891573 0.4259194 0.7246096 -0.6891597 -1.32429e-6 0.2239078 -0.689172 0.6891351 0.5861972 -0.6891853 0.4259067 -0.223897 -0.6891835 0.6891271 0.2239034 -0.6891825 0.689126 -0.5861916 -0.6891913 0.4259045 -0.2238975 -0.6891812 0.6891294 -0.7245877 -0.6891827 6.00515e-6 -0.5861709 -0.6892213 0.4258846 -0.5861377 -0.6892578 -0.4258713 -0.7245441 -0.6892284 0 -0.5862262 -0.6891532 -0.4259187 0 -1 0 0.3091437 0 0.9510154 0 -1 0 -0.3091463 -4.3983e-4 0.9510143 0 -1 0 -0.3089993 0 0.9510623 0 -1 0 0.8091251 -3.91439e-4 0.5876364 0 -1 0 0 -1 0 0.309008 -4.05912e-4 0.9510594 0.8090107 1.61768e-4 0.5877938 1 -1.02795e-4 0 0 -1 0 0.8091251 -3.83697e-4 -0.5876364 0 -1 0 1 -9.76035e-5 -1.82626e-6 0 -1 0 0.3091437 -3.92725e-4 -0.9510152 0 -1 0 0 -1 0 0.8090076 1.84676e-4 -0.5877981 0 -1 0 -0.3091464 0 -0.9510145 0 -1 0 0.3090123 0 -0.9510579 0 -1 0 -0.8091216 -3.61437e-4 -0.5876412 0 -1 0 0 -1 0 -0.30901 -4.07653e-4 -0.9510588 -0.8090167 1.45916e-4 -0.5877857 -1 -9.61124e-5 0 0 -1 0 -0.8091216 -3.85997e-4 0.5876412 0 -1 0 -1 -9.61124e-5 0 0 -1 0 0 -1 0 -0.8090128 1.40656e-4 0.5877913 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.2850497 -0.8216231 0.4936418 -0.2850493 -0.8216232 0.4936419 0.5700451 -0.8216134 0 0.2849984 -0.8216025 -0.4937059 -0.2849979 -0.8216025 -0.4937059 -0.5700445 -0.8216139 0 -0.4936695 -0.8216205 0.2850094 -0.4936655 -0.821614 -0.2850346 0 -0.8216283 0.5700236 0.4936895 -0.821614 0.2849934 0.4936856 -0.8216075 -0.2850186 0 -0.8216026 -0.5700607 -0.2850216 -0.8216121 -0.4936764 0.285022 -0.8216119 -0.4936763 -0.5700445 -0.8216139 0 -0.2850216 -0.8216121 0.4936764 0.285022 -0.8216119 0.4936763 0.5700451 -0.8216134 0 0.4936808 -0.8216011 -0.2850455 0.4936847 -0.8216075 0.2850203 0 -0.8216027 -0.5700607 -0.4936655 -0.8216148 -0.2850324 -0.4936693 -0.8216212 0.2850072 0 -0.8216283 0.5700236 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -0.8659824 0 0.5000743 0 1 0 -0.8659755 -1.05194e-4 -0.5000864 -0.8660287 0 -0.4999944 0 1 0 0 2.74672e-5 1 -0.8660356 -1.05217e-4 0.4999824 0 1 0 0.8659704 -1.05193e-4 0.5000951 0 1 0 0 1 0 0 2.74672e-5 1 0 1 0 0.8659635 0 -0.5001072 0.8660236 0 0.5000032 0 1 0 0 2.74672e-5 -1 0.8660166 -1.05169e-4 -0.5000152 0 1 0 0 1 0 0 2.74672e-5 -1 0 1 0 -1.10717e-4 0 -1 0 1 0 0.8660753 -9.24448e-5 -0.4999136 0 1 0 0.8660287 0 -0.4999944 0 1 0 -0.8660279 4.0296e-5 -0.4999958 0 1 0 0 1 0 0 -1.09708e-4 -1 0 1 0 -0.8660768 -1.19207e-4 0.499911 -0.8660166 1.81293e-5 -0.5000152 0 1 0 1.11099e-4 0 1 0 1 0 -0.8660166 0 0.5000152 0 1 0 0.8660143 1.63171e-5 0.5000194 0 1 0 0 -1.10083e-4 1 0 1 0 0 1 0 0.8660287 4.48852e-5 0.4999944 0 1 0 0.8660858 0 0.4998954 0 1 0 -1.11097e-4 -1.10071e-4 1 0 1 0 0 1 0 0 0 1 0 1 0 0.8660249 2.4067e-5 -0.500001 0 1 0 0.8660287 -1.13261e-4 0.4999944 0 1 0 1.10721e-4 -1.09699e-4 -1 0.8660287 1.65213e-5 -0.4999944 0 1 0 -0.8660753 0 -0.4999136 0 0 -1 0 1 0 -0.8660262 2.10932e-5 0.4999986 0 1 0 -0.8660166 -1.16232e-4 -0.5000152 0 1 0 -0.8660166 4.01086e-5 0.5000152 0 1 0 0.9659268 0 -0.2588158 0 1 0 0.9659268 -4.20954e-6 0.2588158 0 1 0 0.9659293 0 0.2588061 0 1 0 0.7071055 -5.27103e-6 -0.707108 0.9659306 -6.16659e-6 -0.2588016 0.7071133 -6.58651e-7 -0.7071003 0 1 0 0.2588179 -1.92835e-6 -0.9659261 0 1 0 -0.2588168 0 -0.9659264 0 1 0 0.2588135 0 -0.9659274 0 1 0 -0.7071144 0 -0.7070992 0 1 0 -0.2588168 0 -0.9659264 0 1 0 -0.9659223 -4.36867e-6 -0.2588323 -0.7071155 6.58872e-7 -0.7070981 -0.9659223 0 0.2588323 -0.965925 0 -0.2588223 -0.7071067 0 0.7071068 -0.9659238 -2.40753e-6 0.2588268 -0.7071169 6.00903e-6 0.7070968 -0.2588152 0 0.9659268 0.2588164 0 0.9659265 -0.2588152 0 0.9659268 0.7070979 -5.26832e-6 0.7071157 0.258812 -1.93438e-6 0.9659278 0.7071146 4.69655e-6 0.707099 -0.6891453 0.6891555 -0.2239273 -0.6890318 0.6892806 0.2238918 -0.6891468 0.6891571 0.2239176 -0.4259282 0.6891574 -0.5862144 -0.6890281 0.6892892 -0.2238767 0 0.6893666 -0.7244126 -0.4259935 0.6890232 -0.5863245 0.4259898 0.6890479 -0.5862983 0 0.6893666 -0.7244126 0.6889743 0.689343 -0.2238764 0.425902 0.6891871 -0.5861985 0.6891517 0.6891465 0.2239354 0.6891547 0.6891495 -0.2239168 0 1 0 0.4259245 0.6891604 0.5862135 0 1 0 0.6889907 0.6893301 0.2238659 0 0.6893628 0.7244163 0.4259798 0.6890469 0.5863067 -0.4260033 0.6890187 0.5863229 0 0.6893628 0.7244163 -0.4259349 0.689127 0.5862451 0.8660275 1.08503e-5 -0.4999964 0.6546483 0.654663 -0.3779578 0.8660383 0 -0.4999777 0.8660238 0 0.500003 0.6546491 0.6546638 0.377955 0.6546723 0.654627 0.3779782 0 -2.99187e-5 -1 0 0.6546982 -0.7558904 0 -2.99187e-5 -1 0.6546823 0.6546236 -0.3779668 -0.8660283 0 -0.4999951 -0.6546391 0.6546761 -0.377951 -0.866039 1.08438e-5 -0.4999762 0 0.6546982 -0.7558904 -0.8660354 0 0.4999827 -0.6546212 0.6547042 -0.3779332 -0.6546177 0.6547007 0.3779453 -0.8660245 1.08792e-5 0.5000016 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.8660345 1.08865e-5 0.499984 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0.6546965 0.7558918 -0.6546398 0.6546753 0.3779512 0 0.6546966 0.7558918 0 1 0 0 -1 0 -0.654658 -0.654657 -0.3779513 0 -1 0 -0.6546581 -0.6546602 0.3779455 -0.6546585 -0.6546574 0.3779496 0 -1 0 0 -0.6545905 -0.7559835 0 -1 0 -0.6546483 -0.654664 -0.3779557 0 -1 0 0.6546458 -0.6546718 -0.3779467 0 -1 0 0 -0.6545906 -0.7559835 0 -1 0 0.654657 -0.6546602 0.3779474 0 -1 0 0.6546486 -0.6546517 -0.3779768 0 -1 0 0 -0.6545905 0.7559835 0.6546357 -0.6546758 0.3779573 0 -1 0 0 -1 0 0 -0.6545905 0.7559836 0 -1 0 0.6546429 -0.6546537 -0.3779832 0 -1 0 1.7381e-5 -0.6546667 -0.7559175 0 -1 0 0 -0.6546527 -0.7559299 0 -1 0 0.6546968 -0.6545967 0.3779885 0 -1 0 0.65464 -0.6546751 -0.3779509 0 -1 0 -2.02732e-5 -0.6546729 0.7559123 0 -1 0 0.6547014 -0.6545933 0.3779864 0 -1 0 -0.6546425 -0.6546619 0.3779697 0 -1 0 0 -1 0 0 -0.6546564 0.7559266 0 -1 0 -0.654704 -0.654585 -0.3779963 0 -1 0 -0.6546429 -0.6546593 0.3779736 0 -1 0 0 -1 0 0 -1 0 -0.6546919 -0.6545938 -0.3780019 0 -1 0 2.02735e-5 -0.6546622 0.7559216 0 -1 0 0.6546329 -0.6546692 0.3779736 0 -1 0 0.6546585 -0.6546504 0.3779617 -0.6546913 -0.6546041 0.3779853 0 -0.6546787 0.7559074 -0.6546331 -0.6546682 -0.3779749 -0.6546928 -0.6545927 0.3780024 -1.73809e-5 -0.6546576 -0.7559255 -0.6546399 -0.6546633 -0.3779718 0 -1 0 0.6546983 -0.6545925 -0.3779931 0 -1 0 0 -0.6546718 -0.7559133 0 -1 0 0.6546975 -0.6545985 -0.3779842 -0.7027092 -0.7027196 0.1112877 0 -1 0 -0.6890227 -0.6892911 -0.2238875 -0.6891472 -0.6891574 -0.2239154 -0.3432244 0.9228294 0.1748797 0 -1 0 -0.4259416 -0.6891293 0.5862377 -0.6890363 -0.6892791 0.2238817 0 -0.6893628 0.7244163 -0.4259947 -0.6890202 0.5863273 0.4259889 -0.6890453 0.5863021 0 -0.6893628 0.7244163 0.6338125 -0.7028452 0.3229402 0.4259172 -0.6891587 0.5862206 0.3804172 0.9228501 0.06025135 0.6891519 -0.6891468 -0.2239341 0.6891543 -0.6891492 0.223919 0.4259108 -0.6891891 -0.5861896 0.6889821 -0.6893402 -0.2238608 0 -0.6893666 -0.7244126 0.4259786 -0.6890499 -0.586304 -0.4260043 -0.6890213 -0.586319 0 -0.6893666 -0.7244126 -0.4259197 -0.6891555 -0.5862229 0.9510577 0 -0.3090131 0.9510577 0 -0.3090131 0.9510568 0 0.3090161 0.5877887 0 -0.8090145 0.5877887 0 -0.8090145 0 0 -1 0 0 -1 -0.5877887 0 -0.8090145 -0.5877887 0 -0.8090145 -0.9510573 0 -0.3090144 -0.9510573 0 -0.3090144 -0.9510564 0 0.3090173 -0.9510565 0 0.3090173 0.9510568 0 0.3090161 0 -2.98605e-5 1 0 -2.98605e-5 1 0 1 0 0 1 0 0 1 0 -0.5877879 0 0.8090151 -0.5877879 -1.92208e-7 0.809015 0 0 1 0 0 1 0.587788 2.28728e-7 0.809015 0.5877879 0 0.809015 0.6546854 0.6546122 0.3779813 0.6546803 0.6546217 -0.3779739 0.6947858 0.6947082 -0.1861538 0.1686602 0.9711377 -0.1686571 0 0.6546524 0.75593 0.2303876 0.9711391 0.06172883 0.5086094 0.6947261 0.5085982 -0.6546654 0.6546378 0.3779716 -0.1861554 0.6947412 0.6947524 0.06173092 0.9711385 0.2303897 -0.6546526 0.6546575 -0.3779599 -0.6947433 0.6947485 0.1861618 -0.1686662 0.9711359 0.1686614 0 0.6546456 -0.755936 -0.5086076 0.6947297 -0.5085951 -0.2303911 0.9711379 -0.0617339 0.1861563 0.6947325 -0.6947609 -0.06173133 0.9711392 -0.2303867 0 -1 0 0.8659704 0 0.5000951 0 -1 0 0.8659635 1.05191e-4 -0.5001072 0.8660166 0 -0.5000152 0 -1 0 0 -2.74672e-5 1 0.8660236 1.05215e-4 0.5000032 0 -1 0 -0.8659824 1.05195e-4 0.5000743 0 -1 0 0 -1 0 0 -2.74672e-5 1 0 -1 0 -0.8659755 0 -0.5000864 -0.8660356 0 0.4999824 0 -1 0 0 -2.74672e-5 -1 -0.8660287 1.05171e-4 -0.4999944 0 -1 0 0 -1 0 0 -2.74672e-5 -1 0 -1 0 1.10721e-4 0 -1 0 -1 0 -0.8660753 1.16233e-4 -0.4999136 0 -1 0 -0.8660166 0 -0.5000152 0 -1 0 0.8660249 -1.65078e-5 -0.500001 0 -1 0 0 -1 0 0 1.09708e-4 -1 0 -1 0 0.8660858 1.13258e-4 0.4998954 0.8660287 -2.40752e-5 -0.4999944 0 -1 0 -1.11097e-4 0 1 0 -1 0 0.8660287 0 0.4999944 0 -1 0 -0.8660262 -4.01077e-5 0.4999986 0 -1 0 0 1.10083e-4 1 0 -1 0 0 -1 0 -0.8660166 -2.11021e-5 0.5000152 0 -1 0 -0.8660768 0 0.499911 0 -1 0 1.11099e-4 1.10074e-4 1 0 -1 0 0 -1 0 0 0 1 0 -1 0 -0.8660279 -1.81193e-5 -0.4999958 0 -1 0 -0.8660166 1.19205e-4 0.5000152 0 -1 0 -1.10717e-4 1.09696e-4 -1 -0.8660166 -4.03035e-5 -0.5000152 0 -1 0 0.8660753 0 -0.4999136 0 0 -1 0 -1 0 0.8660143 -4.48837e-5 0.5000194 0 -1 0 0.8660287 9.24508e-5 -0.4999944 0 -1 0 0.8660287 -1.63263e-5 0.4999944 0 -1 0 -0.9659223 0 -0.2588323 0 -1 0 -0.9659223 2.41007e-6 0.2588323 0 -1 0 -0.9659238 0 0.2588268 0 -1 0 -0.7071144 0 -0.7070992 -0.965925 4.36727e-6 -0.2588223 -0.7071155 -6.58426e-7 -0.7070981 0 -1 0 -0.2588168 0 -0.9659264 0 -1 0 0.2588179 0 -0.9659261 0 -1 0 -0.2588168 0 -0.9659264 0 -1 0 0.7071055 5.26837e-6 -0.707108 0 -1 0 0.2588135 1.92593e-6 -0.9659274 0 -1 0 0.9659268 6.16801e-6 -0.2588158 0.7071133 6.5887e-7 -0.7071003 0.9659268 0 0.2588158 0.9659306 0 -0.2588016 0.7070979 5.27109e-6 0.7071157 0.9659293 4.20687e-6 0.2588061 0.7071146 -4.69197e-6 0.707099 0.2588164 1.92834e-6 0.9659265 -0.2588152 0 0.9659268 0.258812 0 0.9659278 -0.7071067 0 0.7071068 -0.2588152 0 0.9659268 -0.7071169 -6.0143e-6 0.7070968 0.6891519 -0.6891468 -0.2239341 0.6889834 -0.6893324 0.2238807 0.6891543 -0.6891492 0.223919 0.4259108 -0.6891891 -0.5861896 0.6889821 -0.6893402 -0.2238608 0 -0.6893666 -0.7244126 0.4259786 -0.6890499 -0.586304 -0.4260043 -0.6890213 -0.586319 0 -0.6893666 -0.7244126 -0.6890227 -0.6892911 -0.2238875 -0.4259197 -0.6891555 -0.5862229 -0.689145 -0.6891553 0.2239286 -0.6891472 -0.6891574 -0.2239154 0 -1 0 -0.425942 -0.6891286 0.5862381 0 -1 0 -0.6890366 -0.689279 0.2238818 0 -0.6893628 0.7244163 -0.4259948 -0.6890202 0.5863273 0.4259889 -0.6890453 0.5863021 0 -0.6893628 0.7244163 0.4259172 -0.6891587 0.5862208 -0.8660283 -1.08504e-5 -0.4999951 -0.6546193 -0.6547023 -0.3779397 -0.866039 0 -0.4999762 -0.8660245 0 0.5000016 -0.6546195 -0.6547024 0.3779395 -0.6546356 -0.6546769 0.3779556 0 2.99187e-5 -1 0 -0.6546982 -0.7558904 0 2.99187e-5 -1 -0.6546437 -0.6546742 -0.3779462 0.8660275 0 -0.4999964 0.6546758 -0.6546263 -0.3779736 0.8660383 -1.0858e-5 -0.4999777 0 -0.6546982 -0.7558904 0.8660345 0 0.499984 0.6546509 -0.6546656 -0.3779487 0.6546466 -0.6546613 0.3779634 0.8660238 -1.08791e-5 0.500003 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.8660354 -1.08866e-5 0.4999827 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.6546965 0.7558918 0.6546784 -0.6546247 0.3779719 0 -0.6546967 0.7558918 0 -1 0 0 1 0 0.6546556 0.6546587 -0.3779524 0 1 0 0.6546494 0.6546704 0.377943 0.6546516 0.6546547 0.3779665 0 1 0 0 0.6545905 -0.7559835 0 1 0 0.6546282 0.6546789 -0.3779651 0 1 0 -0.6546546 0.6546616 -0.3779492 0 1 0 0 0.6545905 -0.7559836 0 1 0 -0.6546595 0.6546584 0.3779463 0 1 0 -0.6546555 0.6546545 -0.37796 0 1 0 0 0.6545905 0.7559835 -0.6546558 0.6546611 0.3779479 0 1 0 0 1 0 0 0.6545906 0.7559835 0 1 0 -0.6546355 0.654665 -0.3779764 0 1 0 -1.73807e-5 0.6546669 -0.7559176 0 1 0 0 0.6546526 -0.7559299 0 1 0 -0.6546968 0.6545967 0.3779885 0 1 0 -0.6546348 0.65467 -0.3779689 0 1 0 2.02732e-5 0.6546729 0.7559123 0 1 0 -0.6546812 0.6546081 0.3779957 0 1 0 0.6546421 0.654657 0.3779789 0 1 0 0 1 0 0 0.6546564 0.7559266 0 1 0 0.6546954 0.6545964 -0.3779914 0 1 0 0.6546396 0.6546759 0.3779507 0 1 0 0 1 0 0 1 0 0.6547035 0.6545904 -0.3779876 0 1 0 -2.02735e-5 0.6546622 0.7559216 0 1 0 -0.6546437 0.6546602 0.3779704 0 1 0 -0.6546401 0.6546627 0.3779721 0.6546985 0.6545945 0.3779895 0 0.6546787 0.7559072 0.6546324 0.6546676 -0.3779771 0.654698 0.6545979 0.3779844 1.73811e-5 0.6546577 -0.7559256 0.6546618 0.6546461 -0.3779636 0 1 0 -0.6546996 0.6545908 -0.3779938 0 1 0 0 0.6546718 -0.7559133 0 1 0 -0.6547008 0.654582 -0.378007 0.7027162 0.7027109 0.1112978 0 1 0 0.6889743 0.689343 -0.2238764 0.6891547 0.6891495 -0.2239168 0.3432365 -0.9228237 0.1748859 0 1 0 0.4259243 0.689161 0.586213 0.6889905 0.6893303 0.2238658 0 0.6893628 0.7244163 0.4259798 0.689047 0.5863068 -0.4260034 0.6890187 0.5863229 0 0.6893628 0.7244163 -0.6338525 0.7027998 0.3229606 -0.425935 0.6891271 0.5862451 -0.3803813 -0.9228656 0.0602408 -0.6891453 0.6891555 -0.2239273 -0.6891468 0.6891571 0.2239176 -0.4259282 0.6891574 -0.5862144 -0.6890281 0.6892892 -0.2238767 0 0.6893666 -0.7244126 -0.4259935 0.6890232 -0.5863245 0.4259898 0.6890479 -0.5862983 0 0.6893666 -0.7244126 0.425902 0.6891871 -0.5861985 -0.9510573 0 -0.3090144 -0.9510573 0 -0.3090144 -0.9510564 0 0.3090174 -0.5877887 0 -0.8090145 -0.5877887 0 -0.8090145 0 0 -1 0 0 -1 0.5877887 0 -0.8090145 0.5877887 0 -0.8090145 0.9510577 0 -0.3090131 0.9510577 0 -0.3090131 0.9510568 0 0.3090161 0.9510568 0 0.3090161 -0.9510564 0 0.3090173 0 2.98605e-5 1 0 2.98605e-5 1 0 -1 0 0 -1 0 0 -1 0 0.5877879 0 0.8090151 0.5877879 1.92208e-7 0.809015 0 0 1 0 0 1 -0.587788 -2.28728e-7 0.809015 -0.5877879 0 0.809015 -0.6546515 -0.6546564 0.3779636 -0.6546707 -0.6546332 -0.3779703 -0.6947438 -0.6947489 -0.1861585 -0.1686621 -0.9711372 -0.168658 0 -0.6546524 0.75593 -0.230392 -0.9711376 0.06173533 -0.5086058 -0.6947336 0.5085914 0.654675 -0.6546262 0.3779752 0.1861538 -0.694738 0.694756 -0.06173104 -0.9711391 0.2303869 0.6546865 -0.6546133 -0.3779776 0.6947854 -0.6947077 0.1861572 0.1686642 -0.9711365 0.1686605 0 -0.6546456 -0.755936 0.5086112 -0.6947221 -0.5086019 0.2303866 -0.9711394 -0.0617274 -0.1861579 -0.6947357 -0.6947573 0.06173121 -0.9711384 -0.2303894 0 1 0 0.8660087 0 -0.5000288 0 1 0 0.8660087 0 0.5000288 0 1 0 0.8660087 0 0.5000288 0 1 0 0 0 -1 0.8660087 0 -0.5000288 0 1 0 -0.8660084 0 -0.5000296 0 1 0 0 1 0 0 0 -1 0 1 0 -0.8660084 0 0.5000296 0 1 0 -0.8660084 0 -0.5000296 0 1 0 0 0 1 -0.8660084 0 0.5000296 0 1 0 0 1 0 0 0 1 -0.9238778 0 -0.3826876 -0.9238751 0 0.382694 -0.9238751 0 0.382694 0 1 0 -0.3826858 0 -0.9238786 -0.9238778 0 -0.3826876 0.382686 0 -0.9238785 -0.3826858 0 -0.9238786 0.9238778 0 -0.3826876 0.382686 0 -0.9238785 0.9238751 0 0.382694 0.9238778 0 -0.3826876 0 1 0 0.382686 0 0.9238785 0.9238751 0 0.382694 -0.3826858 0 0.9238786 0.382686 0 0.9238785 -0.3826858 0 0.9238786 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -1 0 -0.7070963 -0.7071173 -0.7070986 0 -0.7071151 -0.2810813 -0.6785889 -0.6786092 -0.7070986 0 -0.7071151 -0.678592 -0.2810768 -0.6786078 0 0 -1 0.7071078 0 -0.7071058 0 -0.7070963 -0.7071173 0.2810921 -0.6785867 -0.6786069 0.6785996 -0.2810832 -0.6785976 0 0.7070963 -0.7071173 0.7071078 0 -0.7071058 0.6785996 0.2810833 -0.6785976 0.2810921 0.6785867 -0.6786069 0 0.7070963 -0.7071173 -0.2810813 0.6785889 -0.6786092 -0.678592 0.2810767 -0.6786078 0 0 1 -0.1443908 0.9895207 0 0 0 1 0.01752012 0.9998465 0 0.01752012 0.9998465 0 0 0 1 -0.3301037 0.9439446 0 -0.1443908 0.9895207 0 0 0 1 -0.5362058 0.8440873 0 0 0 1 -0.3301037 0.9439446 0 0 0 1 -0.9248079 0.3804345 0 0 0 1 -0.5362058 0.8440873 0 0 0 1 -1 0 0 -0.9248079 0.3804345 0 0 0 1 -0.01745295 -0.9998477 0 -1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 -0.01745295 -0.9998477 0 0 0 1 0.01744759 0.9998478 0 1 0 0 0 0 1 1 0 0 0.01744759 0.9998478 0 0 0 1 0.9266626 0.375894 0 1 0 0 0 0 1 0.5567848 0.8306568 0 0.9266626 0.375894 0 0 0 1 0.3589845 0.9333435 0 0.5567848 0.8306568 0 0 0 1 0.1777911 0.9840682 0 0.3589845 0.9333435 0 0 0 1 0.1777911 0.9840682 0 0 0 1 0.5000179 -0.8660151 0 0 0 1 -0.5000179 -0.8660151 3.24255e-5 0 0 1 0 0 1 -0.5002285 -0.8658936 0 0 0 1 1 0 -8.07147e-6 0 0 1 0 0 1 0.5002151 -0.8659011 3.03707e-5 0 0 1 0.4997176 0.8655468 -0.03333032 0.9297699 -0.3649128 -0.04864746 0.8361701 0.5482461 0.0156666 0 0 1 -0.4999955 0.8660281 0 0 0 1 0.313575 0.9495634 0 0 0 1 -0.9996697 0 -0.02569901 0 0 1 -0.328762 0.9430063 -0.05152571 -0.8363568 0.5479621 0.01564818 -1 0 -3.97365e-6 -0.4440395 -0.8881524 0.1183819 -0.9870514 -0.1604042 0 0 0 1 0.4999955 -0.8660281 0 0 0 1 -0.4997181 -0.8655475 -0.03330594 0 0 1 -0.3139057 -0.9494541 0 0 0 1 0.9996695 0 -0.02570575 0 0 1 0.8362338 -0.5481495 0.01565837 0.3285395 -0.9430803 -0.05158907 0 0 1 0.5000179 0.8660151 3.03765e-5 1 0 -8.07147e-6 0.4440082 0.888168 0.1183822 0.9870448 0.1604452 0 0 0 1 -0.5000179 0.8660151 0 0 0 1 0 0 1 0.5002151 0.8659011 0 0 0 1 -1 0 -3.97365e-6 0 0 1 -0.5002284 0.8658935 3.24198e-5 0 0 1 -0.929783 0.3648805 -0.04863935 -0.8363929 -0.547907 0.01564347 0 0 1 0.8660199 0.5000095 0 0 0 1 0.865099 -0.4994778 -0.04610532 0 0 1 0.9778031 -0.209526 0 0.8582184 -0.510859 -0.04984283 0 0.9991771 -0.04056018 0.9783474 0.1658605 -0.1238012 0.8639248 0.5015324 -0.04581683 0.520579 0.8536242 0.01797831 0 0 1 -0.8647861 0.499292 -0.05340921 -0.0579881 0.9980279 -0.02403187 -0.6180238 0.7860271 0.01442378 0 0 1 -0.8660221 -0.5000057 0 0 0 1 0 0 1 -0.9550639 0.2964 0 0 0 1 0 -0.9996249 -0.027386 -0.948072 -0.3055925 -0.08816194 -0.6181326 -0.7859425 0.01437348 0 0 1 0.5205791 -0.8536242 0.01797831 -0.05759 -0.9972659 -0.04630488 0 0 1 0.8660223 0.5000053 0 0 0 1 0.8647882 -0.4992928 -0.05336767 0 0 1 0 0 1 0.9548817 -0.2969865 0 0 0 1 0 0.999623 -0.02745562 0.9482067 0.3051162 -0.08836376 0.6183364 0.7857807 0.01444214 -0.865099 0.4994769 -0.04611581 0.05659085 0.9973355 -0.04603677 -0.5211904 0.8532531 0.0178796 -0.8660203 -0.5000089 0 -0.97619 0.216917 0 -0.8551415 0.515831 -0.05149346 0 -0.999185 -0.04036575 -0.978248 -0.1666392 -0.1235415 -0.521466 -0.8530856 0.01783794 -0.8634666 -0.5023302 -0.04571503 0.05611705 -0.9981277 -0.02432858 0.6168907 -0.7869149 0.01451605 0 0 1 0.5001984 -0.865911 0 0 0 1 -0.5001987 -0.8659107 -5.46818e-5 0 0 1 -0.5000092 -0.8660202 0 0 0 1 1 0 1.1921e-5 0 0 1 0.5000089 -0.8660203 -5.46917e-5 0 0 1 0.5001984 0.865911 -5.45205e-5 0 0 1 1 0 1.1921e-5 -0.5001987 0.8659107 0 0.5000095 0.8660199 0 0 0 1 -1 0 1.1921e-5 -0.5000098 0.8660198 -5.45327e-5 -1 0 1.1921e-5 0.5002193 -0.8658988 0 -0.500198 -0.865911 -5.46818e-5 -0.5000086 -0.8660205 0 0 0 1 1 0 1.1921e-5 0 0 1 0.5000299 -0.8660082 -5.46906e-5 0 0 1 0.5002193 0.8658988 -5.45194e-5 1 0 1.1921e-5 -0.500198 0.865911 0 0.5000305 0.8660078 0 -1 0 1.1921e-5 -0.5000092 0.8660202 -5.45326e-5 -1 0 1.1921e-5 0.5002188 -0.8658991 0 0 0 1 -0.5001975 -0.8659114 -6.67785e-5 -0.4999662 -0.866045 0 0 0 1 1 0 1.1921e-5 0.4999874 -0.8660327 -6.67912e-5 0 0 1 0.5002556 0.8658778 -6.6775e-5 1 0 1.1921e-5 0 0 1 -0.5002343 0.8658901 0 0 0 1 0 0 1 0.5000243 0.8660114 0 0 0 1 -1 0 1.1921e-5 0 0 1 -0.500003 0.8660237 -6.67836e-5 0 0 1 -1 0 1.1921e-5 0.5001978 -0.8659113 0 0 0 1 -0.5001981 -0.865911 -5.56488e-5 -0.4999668 -0.8660446 0 1 0 9.93414e-6 0.4999664 -0.8660448 -5.56604e-5 0.5002346 0.8658899 -5.56469e-5 1 0 9.93414e-6 0 0 1 -0.5002349 0.8658897 0 0.5000033 0.8660235 0 0 0 1 -1 0 9.93414e-6 0 0 1 0 0 1 -0.5000037 0.8660234 -5.56607e-5 -1 0 9.93414e-6 0 0 1 -1 0 0 0 0 1 0 0 1 -0.829754 -0.5581292 0 0.01746183 0.9998476 0 -1 0 0 1 0 0 0.01746183 0.9998476 0 0 0 1 0.8235101 -0.5673018 0 0.8235101 -0.5673018 0 1 0 0 0 0 1 0.4268446 -0.904325 0 0 0 1 0.4268446 -0.904325 0 0 0 1 0.144214 -0.9895465 0 0 0 1 -0.01751714 -0.9998466 0 0.144214 -0.9895465 0 -0.1776661 -0.9840908 0 -0.01751714 -0.9998466 0 -0.4522215 -0.8919057 0 -0.4522215 -0.8919057 0 -0.1776661 -0.9840908 0 -0.829754 -0.5581292 0 0.7071055 0 0.707108 0 0.707094 0.7071197 0.6785976 0.2810825 0.6786001 0 0.707094 0.7071197 0.2810912 0.6785847 0.6786093 0 -0.707094 0.7071197 0.2810912 -0.6785847 0.6786093 0.7071055 0 0.707108 0.6785976 -0.2810825 0.6786001 -0.7070963 0 0.7071174 0 -0.707094 0.7071197 -0.2810804 -0.6785869 0.6786115 -0.67859 -0.2810759 0.6786102 -0.2810803 0.6785869 0.6786115 -0.7070963 0 0.7071174 -0.67859 0.281076 0.6786102 0 -1 0 -0.8660309 0 -0.4999905 0 -1 0 -0.8660315 0 0.4999895 0 -1 0 -0.8660315 0 0.4999895 0 -1 0 0 0 -1 0 -1 0 -0.8660309 0 -0.4999905 0 -1 0 0.866031 0 -0.4999902 0 -1 0 0 0 -1 0 -1 0 0.8660316 0 0.4999893 0 -1 0 0.866031 0 -0.4999902 0 -1 0 0 0 1 0 -1 0 0.8660316 0 0.4999893 0 0 1 -0.8660174 0 -0.500014 0 -1 0 -0.8660179 0 0.5000131 -0.8660179 0 0.5000131 0 -1 0 0 0 -1 -0.8660174 0 -0.500014 0 -1 0 0.8660306 0 -0.4999911 0 -1 0 0 0 -1 0 -1 0 0.8660311 0 0.4999902 0 -1 0 0.8660306 0 -0.4999911 0 -1 0 0 0 1 0 -1 0 0.8660311 0 0.4999902 0 0 1 0 -1 0 0.8660161 0 0.5000162 0 -1 0 0.8660161 0 -0.5000162 0.8660161 0 -0.5000162 0 -1 0 0 0 1 0 -1 0 0 -1 0 0.8660161 0 0.5000162 0 -1 0 -0.8660284 0 0.4999949 0 0 1 -0.8660284 0 -0.4999949 -0.8660284 0 0.4999949 0 -1 0 0 0 -1 -0.8660284 0 -0.4999949 0 0 -1 -0.382684 -0.9238793 0 0.3826977 -0.9238736 0 0.3826977 -0.9238736 0 -0.382684 -0.9238793 0 1 0 0 0 0.8660252 0.5000002 1 0 0 0 0.8660253 -0.5000003 1 0 0 0 0.9872397 -0.1592408 -0.06376618 0.6189976 -0.7828 -0.02112573 0.9056084 -0.4235882 1 0 0 0 0 1 1 0 0 1 0 0 0 0.7290552 0.6844549 -0.03625077 0.8903869 0.4537587 -0.08086895 0.9782042 0.1912505 1 0 0 0 -0.8660244 0.5000017 0 0 1 1 0 0 0 -0.8660244 -0.5000017 -0.06377011 -0.6189773 0.7828158 -0.02111816 -0.9056521 0.4234955 0 -0.9872433 0.1592189 1 0 0 0 0 -1 1 0 0 1 0 0 -0.08085238 -0.9781916 -0.1913219 0 -0.7290419 -0.684469 -0.0362457 -0.8903576 -0.4538168 1 0 0 0 0 -1 1 0 0 0 0.8660249 0.500001 1 0 0 -0.03587543 0.8654673 -0.499679 1 0 0 0 0.9498287 -0.3127707 1 0 0 0 0 1 1 0 0 1 0 0 0 0.8660249 0.500001 0 -0.8660249 0.500001 0 0 1 0 -0.8660249 -0.500001 0 -0.8660249 0.500001 1 0 0 -0.0140838 0 -0.9999008 -9.05596e-4 -0.432195 -0.9017798 0.004666149 -0.6353214 -0.7722339 -0.0572946 -0.9482684 -0.3122569 1 0 0 -0.02363586 0.1341239 -0.9906827 -0.07443571 -0.1493635 -0.9859766 -8.95947e-4 0.4325703 -0.9015999 0.004666149 0.6353214 -0.7722339 -0.003979682 0.3395855 -0.9405668 -0.1644448 -0.5105735 -0.8439625 0 -0.8660252 -0.5000002 0 -0.8660253 0.5000003 -0.02118879 -0.9053411 0.4241562 -0.06376618 -0.6189978 0.7827998 0 -0.9871695 0.1596758 1 0 0 0 0 -1 -0.03614526 -0.8900062 -0.4545135 0 -0.7290552 -0.6844549 -0.08067041 -0.9780575 -0.192083 1 0 0 0 0.8660244 -0.5000017 0 0 -1 1 0 0 0 0.8660244 0.5000017 0 0.9871705 -0.1596696 -0.02118593 0.9053649 -0.4241055 -0.06377011 0.6189774 -0.7828158 1 0 0 0 0 1 1 0 0 1 0 0 -0.03615158 0.8900177 0.4544906 0 0.7290419 0.684469 -0.08067864 0.9780631 0.1920503 0 0 1 0.9238805 -0.3826813 0 0.9238805 0.3826813 0 0.9238805 0.3826813 0 0.9238805 -0.3826813 0 0 1 0 -0.8660315 0 0.4999895 0 1 0 -0.8660309 0 -0.4999905 0 1 0 -0.8660309 0 -0.4999905 0 1 0 0 0 1 0 1 0 -0.8660315 0 0.4999895 0 1 0 0.8660316 0 0.4999893 0 1 0 0 0 1 0 1 0 0.866031 0 -0.4999902 0 1 0 0.8660316 0 0.4999893 0 1 0 0 0 -1 0 1 0 0.866031 0 -0.4999902 0 0 -1 -0.8660179 0 0.5000131 0 1 0 -0.8660174 0 -0.500014 -0.8660174 0 -0.500014 0 1 0 0 0 1 -0.8660179 0 0.5000131 0 1 0 0.8660311 0 0.4999902 0 1 0 0 0 1 0 1 0 0.8660306 0 -0.4999911 0 1 0 0.8660311 0 0.4999902 0 1 0 0 0 -1 0 1 0 0.8660306 0 -0.4999911 0 0 -1 0 1 0 0.8660161 0 -0.5000162 0 1 0 0.8660161 0 0.5000162 0.8660161 0 0.5000162 0 1 0 0 0 -1 0 1 0 0 1 0 0.8660161 0 -0.5000162 0 1 0 -0.8660284 0 -0.4999949 0 0 -1 -0.8660284 0 0.4999949 -0.8660284 0 -0.4999949 0 1 0 0 0 1 -0.8660284 0 0.4999949 0 0 1 0.3826977 0.9238736 0 -0.382684 0.9238793 0 -0.382684 0.9238793 0 0.3826977 0.9238736 0 -1 0 0 0 0.8660248 -0.500001 -1 0 0 0 0.8660248 0.500001 -1 0 0 -1 0 0 0 0.8660248 0.500001 -1 0 0 0.01408714 0 -0.9999008 -1 0 0 -1 0 0 -1 0 0 -1 0 0 7.58182e-4 0.4369642 -0.8994786 -0.004693269 0.6351383 -0.7723841 0.05729436 0.9482685 -0.3122569 -1 0 0 0.03587532 -0.8654674 -0.4996791 0.07441353 0.149237 -0.9859975 0.02356678 -0.1344938 -0.9906342 0.1642407 0.5098494 -0.8444399 7.50035e-4 -0.4372177 -0.8993554 -0.004698336 -0.6351041 -0.7724123 0.00398159 -0.3396083 -0.9405586 -1 0 0 0 -0.8660248 0.500001 -1 0 0 -1 0 0 0 -0.9498287 -0.3127707 -1 0 0 0 0 1 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 -0.8660248 0.500001 0 0 1 -1 0 0 0 -0.8660311 0.4999901 -1 0 0 0 -0.8660306 -0.4999911 0 -0.8660306 -0.4999911 0 0 1 -1 0 0 0 -0.8660311 0.4999901 0 0.8660336 0.4999859 0 0 1 0 0.866033 -0.4999869 0 0.8660336 0.4999859 -1 0 0 0 0 -1 0 0.866033 -0.4999869 0 0 -1 -0.9238821 0.3826773 0 -1 0 0 -0.9238821 -0.3826773 0 -0.9238821 -0.3826773 0 -1 0 0 -1 0 0 -1 0 0 -0.9238821 0.3826773 0 0 0.8660306 -0.4999911 0 0.8660311 0.4999901 0 0.8660311 0.4999901 0 0 -1 0 0.8660306 -0.4999911 0 -0.866033 -0.4999869 0 0 -1 0 -0.8660336 0.4999859 0 -0.866033 -0.4999869 0 0 1 0 -0.8660336 0.4999859 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -0.4992602 0.8642696 0.06146246 -0.8307315 0.5560194 -0.02697539 0.5001925 0.8659142 0 -0.313632 0.9495446 0 0.9990975 0 0.04247558 0.8309023 0.5557659 -0.02694004 0.3400089 0.9358472 0.09264963 0.9870474 -0.1604285 0 0 0 1 -0.5002058 -0.8659065 0 0.499248 -0.864279 0.06142514 0.3138775 -0.9494635 0 0 0 1 -0.9990975 0 0.04247593 0 0 1 -0.3397533 -0.9359257 0.09279423 -0.8307238 -0.5560306 -0.026977 0 0 1 -0.9870473 0.1604298 0 0.8309029 -0.5557648 -0.02693986 0 -1 0 0.8386757 -0.01072257 0.5445255 0.9936488 0.05084997 0.1003809 0.8385022 -0.01069736 -0.5447932 0.9949359 0 -0.100511 0.9237348 0.01362258 -0.3827903 0.3178397 0.0142976 -0.9480366 -0.3139035 0 -0.9494549 0.3806433 0 -0.9247219 0.3139176 0 0.9494503 -0.3179369 0.01445853 0.9480016 -0.3813251 0 0.924441 0.3829932 0.01191651 0.9236742 0 -1 0 -0.838704 -0.01064616 -0.5444835 -0.9936389 0.05105388 -0.1003753 -0.8385055 -0.01076561 0.5447869 -0.9949364 0 0.1005064 -0.924005 0.01359087 0.3821388 -0.3823221 0.01180046 -0.9239538 0 1 0 0.8384602 0.01091372 -0.5448535 0.993669 -0.05044972 -0.1003829 0.8385977 0.01086258 0.5446429 0.9244719 -0.01353532 0.3810098 0.9949359 0 0.100511 0.3182997 -0.01468664 0.9478764 -0.3136465 0 0.9495398 0.3824644 0 0.9239702 0.3136752 0 -0.9495304 -0.3183258 -0.01467651 -0.9478678 -0.382449 0 -0.9239767 0.3843104 -0.01217997 -0.9231237 0 1 0 -0.8384224 0.0109229 0.5449114 -0.9936694 -0.05045044 0.1003784 -0.8386253 0.01085919 -0.5446005 -0.9244772 -0.01353484 -0.3809968 -0.9949364 0 -0.1005064 -0.3843231 -0.01218467 0.9231182 0.8560654 0.050718 -0.5143733 0.8559254 -0.05383586 -0.5142892 0.8568702 0.1262746 -0.4998282 0.1553244 0.5711642 -0.8060061 0.8450964 0.3091039 -0.4361961 0.856935 -0.1292057 -0.4989674 0.1553244 -0.5711642 -0.8060061 0.8450964 -0.3091039 -0.4361961 -0.855854 0.05536061 -0.5142463 -0.8560586 -0.05087161 -0.5143693 -0.1553121 0.5711653 -0.8060076 -0.8569683 0.1306092 -0.4985444 -0.8451018 0.3090988 -0.436189 -0.1554268 -0.5711549 -0.8059929 -0.8568792 -0.1264386 -0.4997711 -0.8451018 -0.3090988 -0.4361891 0.8216126 -0.493674 0.2850241 0.8216126 -0.493674 -0.2850241 0.8216158 0 0.5700417 0.8216165 0.4936696 0.2850205 0.8216165 0.4936696 -0.2850205 0.8216158 0 -0.5700417 0 -0.8660244 0.5000017 0 -0.9872433 -0.1592189 0.09850996 -0.8618121 -0.4975697 0.1954923 -0.6459546 -0.7379196 0.2677973 -0.927547 0.2606551 0.07938408 -0.8396677 0.5372675 0.09850084 0.8618138 0.4975688 0.195532 0.64582 0.738027 0 0.9872389 0.1592465 0 0.8660253 -0.5000003 0.2678844 0.9275476 -0.260564 0.9238488 0 -0.3827577 0.923753 0 0.3829888 0.923806 2.09211e-4 -0.3828606 0.9238815 0 -0.3826788 0.3822907 -3.08494e-4 0.9240421 0.9238814 3.08186e-4 0.3826788 -0.3824838 0 0.9239622 0.3826462 0 0.9238951 -0.9238184 1.75184e-4 0.382831 -0.3826603 -1.75272e-4 0.9238891 -0.923761 0 -0.3829694 -0.9238815 0 0.3826788 -0.9238491 0 0.3827568 0.07941949 0.8397225 -0.5371766 0.3824838 0 -0.9239622 -0.3823273 -2.8911e-4 -0.9240269 -0.3826604 0 -0.9238891 0.3826462 -1.61174e-4 -0.923895 -0.9238814 2.88843e-4 -0.3826788 -0.5036047 0.8383732 -0.208597 -0.2900534 -0.9494392 0.1201424 -0.4935818 0.8216882 0.2849657 -0.09505665 0.9686549 -0.2295033 -0.4060563 -0.8832663 -0.2344335 0.09505897 0.9686511 -0.2295188 0 -0.9492397 -0.3145539 -0.09505665 0.9686549 0.2295033 0.09505897 0.9686511 0.2295188 0 -0.9492397 0.3145539 0.2899742 -0.9494675 -0.1201095 0.5036047 0.8383732 0.208597 0.4935798 0.8216843 -0.2849807 0.4059427 -0.8833323 0.2343812 0.8216069 -0.4936813 0.2850278 0.8450945 -0.5077944 -0.1672124 0.82161 0 0.5700501 0.8216069 0.4936813 0.2850278 0.8450945 0.5077944 -0.1672124 -0.821613 0.4936738 0.2850234 -0.8451001 0.5077862 -0.1672097 -0.821616 0 0.5700414 -0.821613 -0.4936738 0.2850234 -0.8451001 -0.5077862 -0.1672098 0.9233046 0 0.3840684 -0.9230307 0 -0.3847261 0.07918053 -0.8394345 0.537662 0.198377 -0.6373733 -0.7445816 0.09850084 -0.8618138 -0.4975688 -0.9238796 -0.002023577 0.382678 -0.5036047 -0.8383732 0.208597 -0.9230388 0 0.3847069 -0.9238815 0 -0.3826788 -0.2900534 0.9494392 -0.1201424 -0.4935821 -0.8216881 -0.2849658 -0.3826604 0 0.9238891 -0.09505665 -0.9686549 0.2295033 -0.3803685 0.001987516 0.9248328 -0.4060563 0.8832663 0.2344335 0.3806216 0 0.9247308 0.3826454 0.001996994 0.9238932 0.09505897 -0.9686511 0.2295188 0 0.9492397 0.3145539 0.1983923 0.6373453 0.7446016 0.09850996 0.8618121 0.4975697 -0.9233945 -0.001348316 -0.3838499 -0.3812937 0 -0.9244539 -0.38266 0.001351058 -0.9238883 0.3826462 0 -0.9238951 0.3811205 0.001323521 -0.9245244 0.0792132 0.8394617 -0.5376147 -0.09505665 -0.9686549 -0.2295033 0.09505897 -0.9686511 -0.2295188 0 0.9492397 -0.3145539 0 -0.9871342 -0.1598941 0.2672646 -0.9275473 0.2612 0 -0.8660253 0.5000003 0.9238815 0 0.3826788 0.2899742 0.9494675 0.1201095 0.9231461 -0.002032697 0.3844439 0.9238806 -0.001366138 -0.3826785 0.5036047 -0.8383732 -0.208597 0.9233123 0 -0.38405 0.4935799 -0.8216841 0.2849808 0.4059427 0.8833323 -0.2343812 0.2672656 0.9275469 -0.2612008 0 0.9871354 0.1598871 0 0.8660244 -0.5000017 0.8216165 -0.4936696 0.2850205 0.8216165 -0.4936696 -0.2850205 0.8216158 0 0.5700417 0.8216126 0.4936739 0.2850241 0.8216126 0.493674 -0.2850241 0.8216158 0 -0.5700417 0.2850266 0.4936681 0.8216152 -0.2850269 0.4936681 0.8216152 0.5700464 0 0.8216125 0.2850356 -0.4936844 0.8216024 -0.2850358 -0.4936844 0.8216023 -0.5700467 0 0.8216124 0.2850413 0.4936659 0.8216115 -0.2850264 0.4936681 0.8216152 0.5700679 0 0.8215976 0.2850502 -0.4936822 0.8215987 -0.2850353 -0.4936844 0.8216024 -0.570046 0 0.8216127 0.2850385 0.4936693 0.8216104 -0.2850237 0.4936716 0.8216141 0.5700679 0 0.8215976 0.2850207 -0.4936869 0.821606 -0.2850058 -0.4936892 0.8216097 -0.5700461 0 0.8216128 0.285023 0.4936699 0.8216154 -0.2850232 0.4936698 0.8216153 0.5700445 0 0.8216139 0.2850051 -0.4936875 0.8216111 -0.2850053 -0.4936875 0.821611 -0.5700448 0 0.8216136 0.493677 0.8216133 0.2850164 0.493677 0.8216133 -0.2850171 0 0.821619 0.570037 -0.493677 0.8216133 0.2850166 -0.4936769 0.8216131 -0.2850173 0 0.8216183 -0.570038 0.4936763 0.8216137 0.2850166 0.4936762 0.8216137 -0.2850173 0 0.821619 0.570037 -0.4936637 0.8216179 0.2850267 -0.4936636 0.8216177 -0.2850275 0 0.8216184 -0.570038 -0.493677 -0.8216133 0.2850166 -0.4936769 -0.8216131 -0.2850173 0 -0.821619 0.570037 0.493677 -0.8216133 0.2850164 0.493677 -0.8216133 -0.2850171 0 -0.8216183 -0.570038 -0.4936637 -0.8216179 0.2850267 -0.4936636 -0.8216177 -0.2850275 0 -0.821619 0.570037 0.4936763 -0.8216137 0.2850166 0.4936762 -0.8216137 -0.2850173 0 -0.8216184 -0.570038 -0.8216165 0.4936742 0.2850123 -0.8216164 0.4936742 -0.285013 -0.8216225 0 0.5700319 -0.8216272 -0.4936595 0.2850069 -0.8216271 -0.4936594 -0.2850077 -0.8216219 0 -0.570033 -0.8216272 0.4936595 0.2850069 -0.8216271 0.4936594 -0.2850077 -0.8216225 0 0.5700319 -0.8216166 -0.4936742 0.2850123 -0.8216164 -0.4936742 -0.285013 -0.8216219 0 -0.570033 1 0 0 0 0 -1 1 0 0 0 0.3826583 -0.92389 0 0.3826583 -0.92389 1 0 0 0 -0.3826583 -0.92389 0 0 -1 1 0 0 0 -0.9238817 -0.3826785 0 -0.3826583 -0.92389 0 -1 0 0 -0.9238817 -0.3826785 1 0 0 0.980735 0 0.1953433 1 0 0 0.980735 0 0.1953433 0 -1 0 0 -1 0 0 1 0 0 1 0 0 0.9238818 -0.3826779 0 1 0 0 0.9238818 -0.3826779 0.7071068 0 0.7071068 0.8316134 0 0.555355 0.7071068 0 0.7071068 0 1 0 0.8316134 0 0.555355 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.55536 0 0.8316102 0.55536 0 0.8316102 0 -1 0 0 -1 0 0 1 0 0 0 1 -1 0 0 0 0 1 0 -1 0 0 -1 0 0 0 1 0 -1 0 -1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 -0.3826862 0.9238784 0 -0.3826862 0.9238784 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -1 0 -1 0 0 0 0 1 1 0 0 0 0 1 0 -1 0 0 -1 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 -1 0 0 -1 0 1 0 0 0 -1 0 0 0 1 -0.1953369 0 0.9807363 0 0 1 0 0 1 0 0 1 0 0 1 -0.1953369 0 0.9807363 0 -1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0 1 -1 0 0 0 0 1 0 1 0 0 0.3826862 0.9238784 0 0.3826862 0.9238784 -1 0 0 -1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 1 -1 0 0 0 1 0 0 1 0 -1 0 0 0 0 1 -1 0 0 0 1 0 0 1 0 -1 0 0 0 1 0 0.1953372 0 0.9807362 0.1953372 0 0.9807362 0 1 0 0 -1 0 0 -1 0 0 -1 0 -0.7071041 0 0.7071095 -0.5553596 0 0.8316103 -0.7071041 0 0.7071095 0 1 0 -0.5553596 0 0.8316103 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.8316368 0 0.55532 -0.8316368 0 0.55532 0 -1 0 0 -1 0 0 1 0 -1 0 0 0 1 0 0 0.9238806 -0.382681 0 0.9238806 -0.382681 -1 0 0 -0.9807355 0 0.1953406 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.9807355 0 0.1953406 0 1 0 0 1 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 0 -0.9238806 -0.382681 -1 0 0 0 -1 0 -1 0 0 0 -0.3826988 -0.9238731 0 -0.9238806 -0.382681 -1 0 0 0 0 -1 -1 0 0 -1 0 0 0 -0.3826988 -0.9238731 -1 0 0 0 0.3826988 -0.9238731 -1 0 0 -1 0 0 0 0 -1 -1 0 0 0 0.9238804 -0.3826815 0 0.3826988 -0.9238731 0 1 0 0 0.9238804 -0.3826815 -1 0 0 0 0.9238802 -0.3826819 0 1 0 0 0.3826858 -0.9238786 -1 0 0 -1 0 0 0 0.9238802 -0.3826819 0 0 -1 0 0.3826858 -0.9238786 0 -0.3826858 -0.9238786 0 0 -1 0 -0.9238802 -0.3826819 0 -0.3826858 -0.9238786 0 -1 0 0 -0.9238802 -0.3826819 0 -0.9238804 -0.3826815 0 -1 0 0 -0.3826988 -0.9238731 0 -0.9238804 -0.3826815 -1 0 0 0 0 -1 -1 0 0 -1 0 0 0 -0.3826988 -0.9238731 0 0.3826988 -0.9238731 -1 0 0 0 0 -1 0 0.3826988 -0.9238731 0 0.8660166 -0.5000153 0 0.8660166 0.5000153 0 0.8660166 0.5000153 0 0 -1 0 0.8660166 -0.5000153 0 -0.8660166 -0.5000153 0 0 -1 0 -0.8660166 0.5000153 0 -0.8660166 -0.5000153 0 0 1 0 -0.8660166 0.5000153 0 0 1 0 -0.8660166 0.5000153 0 -0.8660166 -0.5000153 0 -0.8660166 -0.5000153 0 0 1 0 -0.8660166 0.5000153 0 0.8660166 0.5000153 0 0 1 0 0.8660166 -0.5000153 0 0.8660166 0.5000153 0 0 -1 0 0.8660166 -0.5000153 0 0 -1 0 -1 0 -1 0 0 -0.923896 0 -0.3826436 -0.923896 0 -0.3826436 0 -1 0 -0.7071132 0 0.7071004 0 -1 0 -1 0 0 0 -1 0 0 0 1 0 -1 0 -0.7071132 0 0.7071004 0 -1 0 -0.3826916 0 0.9238762 0 0 1 0 -1 0 -0.9238753 0 0.3826937 -0.3826916 0 0.9238762 0 -1 0 -1 0 0 -1 0 0 -0.9238753 0 0.3826937 0 -1 0 0 -0.9238877 0.3826637 0 -1 0 0 -0.9238877 0.3826637 -1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 -1 0 0.9238757 0 0.3826926 0 -1 0 0.3826773 0 0.9238821 0.9238757 0 0.3826926 0 -1 0 0 0 1 0.3826773 0 0.9238821 0 -1 0 0.7071076 0 0.7071061 0 -1 0 0 -1 0 0 0 1 1 0 0 0.7071076 0 0.7071061 0.9238806 0 -0.3826808 1 0 0 0.3826583 0 -0.92389 0.9238806 0 -0.3826808 0 0 -1 0.3826583 0 -0.92389 -0.3826436 0 -0.923896 0 0 -1 -0.3826436 0 -0.923896 0 1 0 1 0 0 0.9238806 0 -0.3826808 0.9238806 0 -0.3826808 0 1 0 0.7071076 0 0.7071061 0 1 0 1 0 0 0 1 0 0 0 1 0 1 0 0.7071076 0 0.7071061 0 1 0 0.3826773 0 0.9238821 0 0 1 0 1 0 0.9238757 0 0.3826926 0.3826773 0 0.9238821 0 1 0 1 0 0 1 0 0 0.9238757 0 0.3826926 0 1 0 0 0.9238877 0.3826637 0 1 0 0 0.9238877 0.3826637 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 -0.9238753 0 0.3826937 0 1 0 -0.3826916 0 0.9238762 -0.9238753 0 0.3826937 0 1 0 0 0 1 -0.3826916 0 0.9238762 0 1 0 -0.7071132 0 0.7071004 0 1 0 0 1 0 0 0 1 -1 0 0 -0.7071132 0 0.7071004 -0.923896 0 -0.3826436 -1 0 0 -0.3826436 0 -0.923896 -0.923896 0 -0.3826436 0 0 -1 -0.3826436 0 -0.923896 0.3826583 0 -0.92389 0 0 -1 0.3826583 0 -0.92389 0 1 0 0 1 0 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -1 0 0 -1 0 0 -0.9807326 0 -0.195355 -1 0 0 -0.9807326 0 -0.195355 -0.7071069 0 -0.7071065 -0.831627 0 -0.5553346 -0.7071069 0 -0.7071065 -0.5553448 0 -0.8316202 -0.5553448 0 -0.8316202 -0.831627 0 -0.5553346 0 0.3830593 -0.9237238 -0.1953408 0 -0.9807353 -0.1953408 0 -0.9807353 0 -0.3830593 -0.9237238 0 -0.3830593 -0.9237238 0.1953204 0 -0.9807395 0.1953204 0 -0.9807395 0 0.3830593 -0.9237238 0.7071045 0 -0.7071092 0.5553933 0 -0.8315878 0.7071045 0 -0.7071092 0.8316681 0 -0.5552729 0.8316681 0 -0.5552729 0.5553933 0 -0.8315878 1 0 0 0.9807144 0 -0.1954464 0.9807144 0 -0.1954464 0 1 0 0 0.923721 -0.3830658 0 0.923721 -0.3830658 0 -1 0 0 -0.923721 -0.3830658 0 -0.923721 -0.3830658 0 -1 0 -0.3826912 0 0.9238764 0 -1 0 0.3826889 0 0.9238772 0 -1 0 0 -1 0 0 -1 0 0.3826889 0 0.9238772 0 -1 0 -0.92386 0 0.3827308 0 -1 0 -0.3826912 0 0.9238764 0 -1 0 -0.9238618 0 -0.3827264 0 -1 0 -0.92386 0 0.3827308 0 -1 0 -0.3825457 0 -0.9239366 0 -1 0 -0.9238618 0 -0.3827264 0 -1 0 0.3825435 0 -0.9239375 0 -1 0 0 -1 0 -0.3825457 0 -0.9239366 0 -1 0 0.9238442 0 -0.3827686 0.3825435 0 -0.9239375 0 -1 0 0.9238424 0 0.3827729 0.9238442 0 -0.3827686 0 -1 0 0.9238424 0 0.3827729 0 -1 0 0.3826838 0 -0.9238794 0 -1 0 -0.3826859 0 -0.9238784 0 -1 0 0 -1 0 -0.3826859 0 -0.9238784 0 -1 0 0.9238317 0 -0.3827988 0.3826838 0 -0.9238794 0 -1 0 0.9238433 0 0.3827708 0.9238317 0 -0.3827988 0 -1 0 0.382611 0 0.9239095 0 -1 0 0.9238433 0 0.3827708 0 -1 0 -0.3826132 0 0.9239087 0 -1 0 0 -1 0 0.382611 0 0.9239095 0 -1 0 -0.9238608 0 0.3827286 -0.3826132 0 0.9239087 0 -1 0 -0.9238493 0 -0.3827566 0 -1 0 -0.9238608 0 0.3827286 0 -1 0 -0.9238493 0 -0.3827566 0 -1 0 -0.9239041 0 -0.3826241 0 -1 0 -0.9239041 0 0.3826241 -0.9239041 0 0.3826241 0 -1 0 -0.3827314 0 -0.9238597 0 -1 0 -0.9239041 0 -0.3826241 0 -1 0 0.3827485 0 -0.9238526 -0.3827314 0 -0.9238597 0 -1 0 0.9239044 0 -0.3826234 0 -1 0 0.3827485 0 -0.9238526 0 -1 0 0.9239044 0 0.3826234 0 -1 0 0.9239044 0 -0.3826234 0 -1 0 0.3827589 0 0.9238483 0.9239044 0 0.3826234 0 -1 0 -0.3827418 0 0.9238554 0 -1 0 0.3827589 0 0.9238483 0 -1 0 -0.3827418 0 0.9238554 0 -1 0 0.3826605 0 -0.923889 0 -1 0 -0.3826421 -5.05842e-5 -0.9238967 0 -1 0 -0.3829269 0 -0.9237786 0 -1 0 0.9238839 1.16373e-5 -0.3826729 0.3829454 -5.05563e-5 -0.9237711 0 -1 0 0.9238696 -3.15589e-5 0.3827073 0.9239847 -3.15628e-5 -0.3824294 0 -1 0 0.3827437 -3.6804e-5 0.9238546 0 -1 0 0.9239838 1.73577e-5 0.3824318 0 -1 0 -0.3827252 0 0.9238623 0 -1 0 0.3829509 0 0.9237686 0 -1 0 -0.9238737 1.73224e-5 0.3826976 -0.3829324 -3.67978e-5 0.9237763 0 -1 0 -0.9238879 -3.07528e-5 -0.3826631 -0.9239858 -3.07561e-5 0.3824266 0 -1 0 -0.9239868 1.16443e-5 -0.3824244 0 -1 0 0.3826717 0 -0.9238845 0 -1 0 -0.3826531 -4.86167e-5 -0.923892 -0.3829269 0 -0.9237786 0 -1 0 0.923882 1.24515e-5 -0.3826775 0 -1 0 0.3829454 -4.85906e-5 -0.9237711 0 -1 0 0.9238705 -3.15589e-5 0.382705 0.9239847 -3.15628e-5 -0.3824294 0 -1 0 0.3827381 -5.05709e-5 0.9238569 0.9239714 1.16564e-5 0.3824616 0 -1 0 -0.3827196 0 0.9238646 0 -1 0 0.3830229 0 0.9237389 0 -1 0 -0.9238746 1.162e-5 0.3826953 0 -1 0 -0.3830044 -5.05579e-5 0.9237465 0 -1 0 -0.923886 -3.07528e-5 -0.3826677 -0.9239735 -3.07557e-5 0.3824565 -0.9239868 1.24584e-5 -0.3824244 0 -1 0 0.1774035 0 -0.9841382 0.6117997 0 -0.7910128 0.6117997 0 -0.7910128 0.05942904 0.03388965 -0.9976571 -0.2588523 0 -0.9659169 0.1185889 0 -0.9929435 -0.7071045 0 -0.7071089 0 -1 0 0 -1 0 -0.2588523 0 -0.9659169 -0.9659173 0 -0.2588506 -0.7071045 0 -0.7071089 0 -1 0 -0.9659168 0 0.2588532 -0.9659173 0 -0.2588506 -0.7071092 0 0.7071043 -0.9659168 0 0.2588532 0 -1 0 -0.2588523 0 0.9659169 -0.7071092 0 0.7071043 0.05946004 0 0.9982307 -0.2588523 0 0.9659169 0.1773752 0.01879495 0.9839639 0.6117968 0 0.7910149 0.1185888 0 0.9929434 0.9974405 0 0.07150107 0.6117968 0 0.7910149 0.9396619 0 -0.3421044 0.9396619 0 -0.3421044 0.9974405 0 0.07150107 0.7560679 0 -0.6544932 0 -1 0 0.1279285 0 -0.9917833 0.7560679 0 -0.6544932 0.06490254 0 -0.9978917 0.1279285 0 -0.9917833 0.6188042 3.40419e-5 -0.7855454 0.06492853 -2.92988e-5 -0.9978899 0.9549789 2.61414e-5 -0.2966736 0.6188465 -2.67372e-5 -0.7855119 0.9549915 2.50299e-5 0.2966334 0.9549924 -2.50472e-5 -0.2966302 0.6188465 2.67286e-5 0.7855119 0.9549779 -2.61496e-5 0.2966768 0.0649293 3.01949e-5 0.9978899 0.6188047 -3.33037e-5 0.785545 0.1279234 0 0.991784 0.06490254 0 0.9978917 0.7560992 0 0.654457 0.1279234 0 0.991784 0.9396585 0 0.342114 0.9396585 0 0.342114 0.7560992 0 0.654457 0.9974403 0 -0.0715053 0.9974403 0 -0.0715053 0 1 0 0 1 0 0.2575457 0.1003592 0.9610403 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.2575457 0.1003591 -0.9610403 0 1 0 0 1 0 0.7046707 0.08289408 -0.7046757 0 1 0 0 1 0 0 1 0 0.43932 -0.06371259 -0.8960685 0 1 0 0.8369444 0.4992184 -0.2242884 0.836372 -0.1650092 -0.522737 0.8369265 0.4992492 0.2242859 0.9736023 1.35088e-4 -0.2282508 0.9736113 -5.9937e-4 0.2282116 0.7046757 0.08288764 0.7046714 0.8812584 0 0.4726347 0.7779037 -0.03487586 0.6274148 0 1 0 0 1 0 0 1 0 0.4393281 -0.0637204 0.896064 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0.7783817 0 -0.6277912 0.9988787 0 0.04734456 0 -1 0 0.9988788 0 -0.047342 0.9988788 0 -0.047342 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.9988787 0 0.04734456 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071545 0 -0.7070591 -0.7071504 1.29521e-5 -0.7070631 0 -1 0 -0.3826709 0 -0.9238847 -0.9214634 0.07196402 -0.3817414 0 -1 0 0.7071545 1.40498e-5 0.7070591 0.9238942 1.8356e-5 -0.3826481 0.3816428 0.07198756 -0.9215024 -0.7071504 0 0.7070631 0.3826563 0 0.9238908 0.9214943 0.07197844 0.381664 -0.3816992 0.07197642 0.9214799 -0.9238551 1.69212e-5 0.3827423 0 -1 0 -0.2923184 0 -0.9563211 -0.9562719 1.45843e-5 0.2924793 -0.9954023 0 -0.09578216 -0.769586 0.07197433 0.6344739 0 -1 0 0.9562757 1.45841e-5 -0.2924667 0 -1 0 0 -1 0 0.09586423 1.82568e-5 -0.9953945 -0.6344374 0.0719794 -0.7696156 0 -1 0 0.2923091 0 0.9563239 0.995401 0 0.0957961 0.7696647 0.07195615 -0.6343805 0 -1 0 0.6344319 0.07197892 0.7696201 -0.09586423 1.82568e-5 0.9953945 0 -1 0 0.4863068 0 -0.8737882 0 -1 0 0 -1 0 0 0 -1 0 0 -1 0.4863068 0 -0.8737882 -0.2543326 0 -0.9671168 -0.6970468 0 -0.7170256 -0.2543326 0 -0.9671168 -0.7465795 0 -0.6652963 -0.6970468 0 -0.7170256 -0.4544348 0 -0.8907801 -0.7465795 0 -0.6652963 -0.1002073 0 -0.9949666 -0.4544348 0 -0.8907801 0.2676478 0 -0.9635168 -0.1002073 0 -0.9949666 0.5990507 0 -0.8007111 0.2676478 0 -0.9635168 0.8487915 0 -0.5287278 0.5990507 0 -0.8007111 0.9827941 0 -0.1847047 0.8487915 0 -0.5287278 0.9828172 0 0.184581 0.9827941 0 -0.1847047 0.8488641 0 0.5286112 0.9828172 0 0.184581 0.5991523 0 0.8006351 0.8488642 1.47116e-7 0.528611 0.2677906 0 0.9634771 0.5991521 0 0.8006352 -0.1000959 0 0.9949778 0.2677906 0 0.9634771 -0.4543511 0 0.8908227 -0.1000959 0 0.9949778 -0.7465574 0 0.6653211 -0.4543511 0 0.8908227 0 -1 0 -0.6970468 0 0.7170256 -0.7465574 0 0.6653211 0 -1 0 -0.2544285 0 0.9670915 0 -1 0 -0.6970468 0 0.7170256 0 0 1 -0.2544285 0 0.9670915 0 0 1 0.4863477 0 0.8737654 0.4863477 0 0.8737654 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2086132 -0.8383247 0.5036787 -0.2086349 -0.8383207 0.5036764 0.5036738 -0.8383281 0.2086114 0.5036744 -0.8383291 -0.2086061 0.2086005 -0.838327 -0.5036801 -0.2086222 -0.838323 -0.5036778 -0.5036686 -0.8383195 -0.2086585 -0.503668 -0.8383185 0.2086637 0.5426727 -0.838319 0.05222612 0.3467903 -0.8383077 0.4206862 0.4206907 -0.8383238 -0.3467457 0.05226022 -0.8383393 -0.542638 -0.3467679 -0.8383337 -0.4206529 -0.5426664 -0.8383236 -0.05221784 -0.4206604 -0.8383136 0.3468073 -0.0522654 -0.8383042 0.5426917 0 -1 0 0.7071068 0 -0.7071068 0 -1 0 -0.7071157 0 -0.7070979 0 -1 0 -0.7071157 0 -0.7070979 0 -1 0 0.7071068 0 0.7071068 0 -1 0 0 -1 0 0.7071068 0 -0.7071068 0 -1 0 -0.7071157 0 0.7070979 0 -1 0 0.7071068 0 0.7071068 0 -1 0 0 -1 0 -0.7071157 0 0.7070979 -0.2158401 -0.902044 -0.3738043 0.3779233 -0.6548103 -0.6545208 0.2543328 -0.8934414 -0.3702393 -0.7559989 -0.6545727 0 -0.3778771 -0.6548565 -0.6545013 -0.5006832 -0.3313217 -0.7997139 -0.3779061 -0.6548607 0.6544803 -0.755999 -0.6545728 0 0.2157713 -0.902107 0.3736922 -0.2542812 -0.8935024 0.3701277 0.7560939 -0.6544632 0 0.3779034 -0.6547957 0.6545468 0.5007503 -0.3310238 0.7997952 0.7560939 -0.6544632 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.707096 0 -0.7071176 -0.7071068 0 -0.7071068 -0.7071068 0 -0.7071068 0.707096 0 0.7071176 0.707096 0 -0.7071176 -0.7071068 0 0.7071068 0.707096 0 0.7071176 -0.7071068 0 0.7071068 0 -1 0 0 -1 0 0 1 0 0.3779525 0.6546571 -0.6546571 -0.377971 0.6546294 -0.6546742 -0.377965 0.6546536 -0.6546536 0 1 0 0.7559846 0.6545895 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3779924 0.6545923 -0.6546989 0 1 0 0.3779834 0.654585 0.6547115 0 1 0 0.7559846 0.6545894 0 -0.3779625 0.6546481 0.6546604 0.377968 0.6546465 0.6546587 0 1 0 -0.7559175 0.6546669 0 0 1 0 0 1 0 0 1 0 -0.3779755 0.6546271 0.6546739 -0.7559175 0.6546669 0 0 0 1 -0.8660331 0 0.4999865 0 0 1 0.8660208 0 0.500008 0.8660208 0 0.500008 0.8660208 0 -0.500008 0.8660208 0 -0.500008 0 0 -1 0 0 -1 -0.8660331 0 -0.4999865 -0.8660331 0 -0.4999865 -0.8660331 0 0.4999865 -0.5000006 0 -0.8660251 -0.5000006 0 -0.8660251 0.5000019 0 -0.8660244 -1 0 0 -1 0 0 -0.4999994 0 0.8660258 -0.4999994 0 0.8660258 0.5000007 0 0.866025 0.5000007 0 0.866025 -0.4706774 -0.3374151 0.8152385 0.5000019 0 -0.8660244 0.4706261 -0.3377141 -0.8151444 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0.7071166 0 -0.707097 0 -1 0 -0.7071062 0 -0.7071073 0 -1 0 -0.7071062 0 -0.7071073 0 -1 0 0.7071166 0 0.707097 0 -1 0 0 -1 0 0.7071166 0 -0.707097 0 -1 0 -0.7071062 0 0.7071073 0 -1 0 0.7071166 0 0.707097 0 -1 0 0 -1 0 -0.7071062 0 0.7071073 -0.2158362 -0.9020448 -0.3738046 0.3779228 -0.6548106 -0.6545208 0.2543326 -0.8934414 -0.3702394 -0.7560998 -0.6544564 0 -0.3779031 -0.6547986 -0.6545442 -0.5006762 -0.3313232 -0.7997177 -0.3779267 -0.6548007 0.6545284 -0.7560998 -0.6544563 0 0.215771 -0.902107 0.3736922 -0.2542818 -0.8935023 0.3701274 0.7560931 -0.654464 0 0.3779029 -0.654796 0.6545469 0.5007498 -0.3310235 0.7997956 0.7560931 -0.654464 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071076 0 -0.7071061 -0.7071076 0 -0.7071061 -0.7071076 0 -0.7071061 0.7071076 0 0.7071061 0.7071076 0 -0.7071061 -0.7071076 0 0.7071061 0.7071076 0 0.7071061 -0.7071076 0 0.7071061 0 -1 0 0 -1 0 0 1 0 0.3779594 0.6546551 -0.6546551 -0.3779739 0.6546217 -0.6546803 -0.3779661 0.6546532 -0.6546532 0 1 0 0.7559262 0.6546568 0 0 1 0 0 1 0 0 1 0 0 1 0 0.3779774 0.654626 -0.6546738 0 1 0 0.3779741 0.6546207 0.6546812 0 1 0 0.7559261 0.6546568 0 -0.377962 0.6546483 0.6546605 0.3779676 0.6546467 0.6546589 0 1 0 -0.7559306 0.6546518 0 0 1 0 0 1 0 0 1 0 -0.3779796 0.6546198 0.6546788 -0.7559306 0.6546518 0 0 0 1 -0.8660195 0 0.5000102 0 0 1 0.8660343 0 0.4999846 0.8660343 0 0.4999846 0.8660343 0 -0.4999846 0.8660343 0 -0.4999846 0 0 -1 0 0 -1 -0.8660195 0 -0.5000102 -0.8660195 0 -0.5000102 -0.8660195 0 0.5000102 -0.5000018 0 -0.8660244 -0.5000018 0 -0.8660244 0.5000013 0 -0.8660246 -1 0 0 -1 0 0 -0.5000006 0 0.8660251 -0.5000006 0 0.8660251 0.5000001 0 0.8660253 0.5000001 0 0.8660253 -0.4706786 -0.3374148 0.815238 0.5000013 0 -0.8660246 0.4706255 -0.3377143 -0.8151446 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7071157 0 -0.7070979 0 1 0 0.7071068 0 -0.7071068 0 1 0 0.7071068 0 -0.7071068 0 1 0 -0.7071157 0 0.7070979 0 1 0 0 1 0 -0.7071157 0 -0.7070979 0 1 0 0.7071068 0 0.7071068 0 1 0 -0.7071157 0 0.7070979 0 1 0 0 1 0 0.7071068 0 0.7071068 0.2158365 0.9020448 -0.3738047 -0.3779038 0.6548667 -0.6544756 -0.2543321 0.8934416 -0.3702396 0.7560939 0.6544632 0 0.3779016 0.654802 -0.6545416 0.5006767 0.3313228 -0.7997174 0.3779256 0.6548043 0.6545255 0.7560938 0.6544632 0 -0.2157749 0.9021062 0.3736919 0.254282 0.8935021 0.3701277 -0.7559989 0.6545727 0 -0.3778789 0.6548501 0.6545066 -0.5007569 0.331022 0.7997919 -0.755999 0.6545728 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7071068 0 -0.7071068 0.707096 0 -0.7071176 0.707096 0 -0.7071176 -0.7071068 0 0.7071068 -0.7071068 0 -0.7071068 0.707096 0 0.7071176 -0.7071068 0 0.7071068 0.707096 0 0.7071176 0 1 0 0 1 0 0 -1 0 -0.3779599 -0.654655 -0.654655 0.3779822 -0.6545885 -0.6547087 0.3779661 -0.6546531 -0.6546531 0 -1 0 -0.7559175 -0.6546669 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3779748 -0.6546308 -0.6546705 0 -1 0 -0.3779722 -0.6546258 0.6546771 0 -1 0 -0.7559175 -0.6546669 0 0.3779551 -0.6546502 0.6546624 -0.377967 -0.6546469 0.6546591 0 -1 0 0.7559846 -0.6545895 0 0 -1 0 0 -1 0 0 -1 0 0.3779931 -0.6545887 0.6547021 0.7559846 -0.6545894 0 0 0 1 0.8660208 0 0.500008 0 0 1 -0.8660331 0 0.4999865 -0.8660331 0 0.4999865 -0.8660331 0 -0.4999865 -0.8660331 0 -0.4999865 0 0 -1 0 0 -1 0.8660208 0 -0.500008 0.8660208 0 -0.500008 0.8660208 0 0.500008 0.5000019 0 -0.8660244 0.5000019 0 -0.8660244 -0.5000006 0 -0.8660251 1 0 0 1 0 0 0.5000007 0 0.866025 0.5000007 0 0.866025 -0.4999994 0 0.8660258 -0.4999994 0 0.8660258 0.4706786 0.3374148 0.8152379 -0.5000006 0 -0.8660251 -0.4706249 0.3377144 -0.8151449 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -0.7071062 0 -0.7071073 0 1 0 0.7071166 0 -0.707097 0 1 0 0.7071166 0 -0.707097 0 1 0 -0.7071062 0 0.7071073 0 1 0 0 1 0 -0.7071062 0 -0.7071073 0 1 0 0.7071166 0 0.707097 0 1 0 -0.7071062 0 0.7071073 0 1 0 0 1 0 0.7071166 0 0.707097 0.2158362 0.9020448 -0.3738046 -0.3779245 0.6548068 -0.6545237 -0.2543328 0.8934414 -0.3702393 0.7560931 0.654464 0 0.3779011 0.6548023 -0.6545416 0.5006762 0.3313232 -0.7997177 0.377925 0.6548046 0.6545255 0.7560931 0.6544641 0 -0.215771 0.902107 0.3736922 0.2542816 0.8935023 0.3701276 -0.7560998 0.6544564 0 -0.3779049 0.6547924 0.6545494 -0.5007498 0.3310235 0.7997956 -0.7560998 0.6544564 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7071076 0 -0.7071061 0.7071076 0 -0.7071061 0.7071076 0 -0.7071061 -0.7071076 0 0.7071061 -0.7071076 0 -0.7071061 0.7071076 0 0.7071061 -0.7071076 0 0.7071061 0.7071076 0 0.7071061 0 1 0 0 1 0 0 -1 0 -0.3779594 -0.6546551 -0.6546551 0.3779729 -0.6546243 -0.6546784 0.3779656 -0.6546534 -0.6546534 0 -1 0 -0.7559306 -0.6546518 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.3779789 -0.6546236 -0.6546754 0 -1 0 -0.3779751 -0.654618 0.6546831 0 -1 0 -0.7559306 -0.6546518 0 0.3779621 -0.6546483 0.6546605 -0.377968 -0.6546465 0.6546587 0 -1 0 0.7559262 -0.6546568 0 0 -1 0 0 -1 0 0 -1 0 0.3779782 -0.6546222 0.6546773 0.7559261 -0.6546568 0 0 0 1 0.8660343 0 0.4999846 0 0 1 -0.8660195 0 0.5000102 -0.8660195 0 0.5000102 -0.8660195 0 -0.5000102 -0.8660195 0 -0.5000102 0 0 -1 0 0 -1 0.8660343 0 -0.4999846 0.8660343 0 -0.4999846 0.8660343 0 0.4999846 0.5000013 0 -0.8660246 0.5000013 0 -0.8660246 -0.5000018 0 -0.8660244 1 0 0 1 0 0 0.5000001 0 0.8660253 0.5000001 0 0.8660253 -0.5000006 0 0.8660251 -0.5000006 0 0.8660251 0.4706781 0.3374149 0.8152382 -0.5000018 0 -0.8660244 -0.4706261 0.3377141 -0.8151444 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.3826411 0 -0.923897 0 -1 0 -0.3826429 0 -0.9238964 0 -1 0 -0.3826429 0 -0.9238964 0 -1 0 0.9238691 0 -0.3827084 0.3826411 0 -0.923897 0 -1 0 0.923864 0 0.3827212 0.9238691 0 -0.3827084 0 -1 0 0.3826677 0 0.9238861 0 -1 0 0 -1 0 0.923864 0 0.3827212 0 -1 0 -0.3826695 0 0.9238854 0 -1 0 0.3826677 0 0.9238861 0 -1 0 -0.9238622 0 0.3827253 -0.3826695 0 0.9238854 0 -1 0 -0.9238674 0 -0.3827126 -0.9238622 0 0.3827253 0 -1 0 0 -1 0 -0.9238674 0 -0.3827126 -0.2157727 -0.9021052 -0.3736957 0.3778839 -0.6548985 -0.6544551 0.247563 -0.8951098 -0.3707978 -0.7560939 -0.6544632 0 -0.3778578 -0.6548906 -0.6544783 -0.4952687 -0.3322269 -0.8027043 -0.3779165 -0.6548042 0.6545307 -0.7560939 -0.6544632 0 0.2157667 -0.9021064 0.3736962 -0.247563 -0.8951097 0.3707979 0.7560968 -0.6544598 0 0.3779073 -0.6547984 0.6545419 0.4951971 -0.3325343 0.8026213 0.7560969 -0.6544598 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071068 0 -0.7071068 -0.7071064 0 -0.7071071 -0.7071064 0 -0.7071071 0.7071071 0 0.7071064 0 -1 0 0 -1 0 0.7071068 0 -0.7071068 -0.7071068 0 0.7071068 0.7071071 0 0.7071064 -0.7071068 0 0.7071068 0 -1 0 0 -1 0 0 1 0 0.3779586 0.6546553 -0.6546553 0 1 0 -0.3779614 0.6546484 -0.6546607 0 1 0 -0.3779599 0.654655 -0.654655 0 1 0 0.755935 0.6546467 0 0 1 0 0.3779626 0.654649 -0.6546595 0 1 0 0.3779616 0.6546486 0.6546605 0 1 0 0.755935 0.6546467 0 0 1 0 -0.3779355 0.6547083 0.6546157 0 1 0 0.3779479 0.6547048 0.6546121 0 1 0 -0.755935 0.6546467 0 0 1 0 -0.3779706 0.6546519 0.6546518 0 1 0 -0.755935 0.6546467 0 0 0 1 -0.8660371 0 0.4999799 0 0 1 0.8660374 0 0.4999792 0.8660374 0 0.4999792 0.8660299 0 -0.4999921 0.8660299 0 -0.4999921 0 0 -1 0 0 -1 -0.8660296 0 -0.4999927 -0.8660296 0 -0.4999927 -0.8660371 0 0.4999799 -0.4999946 0 -0.8660285 -0.4999946 0 -0.8660285 0.4999948 0 -0.8660284 -1 0 0 -1 0 0 -0.5000072 0 0.8660213 -0.5000072 0 0.8660213 0.5000073 0 0.8660212 0.5000073 0 0.8660212 -0.4706298 -0.3377212 0.8151393 0.4999948 0 -0.8660284 0.470673 -0.337416 -0.8152408 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0.3826411 0 -0.923897 0 -1 0 -0.3826538 0 -0.9238918 0 -1 0 -0.3826538 0 -0.9238918 0 -1 0 0.9238691 0 -0.3827084 0.3826411 0 -0.923897 0 -1 0 0.923864 0 0.3827212 0.9238691 0 -0.3827084 0 -1 0 0.3826677 0 0.9238861 0 -1 0 0 -1 0 0.923864 0 0.3827212 0 -1 0 -0.3826804 0 0.9238808 0 -1 0 0.3826677 0 0.9238861 0 -1 0 -0.9238641 0 0.3827208 -0.3826804 0 0.9238808 0 -1 0 -0.9238693 0 -0.382708 -0.9238641 0 0.3827208 0 -1 0 0 -1 0 -0.9238693 0 -0.382708 -0.2157768 -0.9021043 -0.3736952 0.3778594 -0.654955 -0.6544128 0.247559 -0.8951108 -0.370798 -0.755999 -0.6545728 0 -0.3778347 -0.6549456 -0.6544366 -0.4952761 -0.3322256 -0.8027003 -0.3778977 -0.6548609 0.654485 -0.755999 -0.6545728 0 0.2157667 -0.9021064 0.3736962 -0.2475636 -0.8951097 0.3707977 0.755999 -0.6545728 0 0.3778787 -0.6548535 0.6545032 0.4951971 -0.3325343 0.8026213 0.755999 -0.6545728 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7070964 0 -0.7071171 -0.7071067 0 -0.707107 -0.7071067 0 -0.707107 0.7070968 0 0.7071168 0 -1 0 0 -1 0 0.7070964 0 -0.7071171 -0.7071069 0 0.7071066 0.7070968 0 0.7071168 -0.7071069 0 0.7071066 0 -1 0 0 -1 0 0 1 0 0.3779584 0.6546554 -0.6546554 0 1 0 -0.3779554 0.6546766 -0.6546359 0 1 0 -0.3779608 0.6546548 -0.6546548 0 1 0 0.7558904 0.6546981 0 0 1 0 0.3779475 0.654673 -0.6546441 0 1 0 0.3779503 0.6546742 0.6546413 0 1 0 0.7558904 0.6546981 0 0 1 0 -0.3779425 0.6547063 0.6546136 0 1 0 0.3779425 0.6547064 0.6546137 0 1 0 -0.7558897 0.654699 0 0 1 0 -0.3779599 0.6546784 0.6546316 0 1 0 -0.7558897 0.654699 0 0 0 1 -0.8660263 0 0.4999986 0 0 1 0.8660261 0 0.4999989 0.8660261 0 0.4999989 0.8660186 0 -0.5000118 0.8660186 0 -0.5000118 0 0 -1 0 0 -1 -0.8660188 0 -0.5000115 -0.8660188 0 -0.5000115 -0.8660263 0 0.4999986 -0.4999957 0 -0.8660279 -0.4999957 0 -0.8660279 0.4999886 0 -0.866032 -1 0 0 -1 0 0 -0.5000082 0 0.8660207 -0.5000082 0 0.8660207 0.500001 0 0.8660247 0.500001 0 0.8660247 -0.4706308 -0.3377209 0.8151387 0.4999886 0 -0.866032 0.4706668 -0.3374172 -0.8152438 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.3826411 0 -0.923897 0 1 0 0.3826429 0 -0.9238964 0 1 0 0.3826429 0 -0.9238964 0 1 0 -0.9238691 0 -0.3827084 -0.3826411 0 -0.923897 0 1 0 -0.923864 0 0.3827212 -0.9238691 0 -0.3827084 0 1 0 -0.3826677 0 0.9238861 0 1 0 0 1 0 -0.923864 0 0.3827212 0 1 0 0.3826695 0 0.9238854 0 1 0 -0.3826677 0 0.9238861 0 1 0 0.9238622 0 0.3827253 0.3826695 0 0.9238854 0 1 0 0.9238674 0 -0.3827126 0.9238622 0 0.3827253 0 1 0 0 1 0 0.9238674 0 -0.3827126 0.2157727 0.9021052 -0.3736957 -0.3778839 0.6548985 -0.6544551 -0.247563 0.8951098 -0.3707978 0.7560939 0.6544632 0 0.3778578 0.6548906 -0.6544783 0.4952687 0.3322269 -0.8027043 0.3779165 0.6548042 0.6545307 0.7560939 0.6544632 0 -0.2157667 0.9021064 0.3736962 0.247563 0.8951097 0.3707979 -0.7560968 0.6544598 0 -0.3779073 0.6547984 0.6545419 -0.4951971 0.3325343 0.8026213 -0.7560969 0.6544598 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7071068 0 -0.7071068 0.7071064 0 -0.7071071 0.7071064 0 -0.7071071 -0.7071071 0 0.7071064 0 1 0 0 1 0 -0.7071068 0 -0.7071068 0.7071068 0 0.7071068 -0.7071071 0 0.7071064 0.7071068 0 0.7071068 0 1 0 0 1 0 0 -1 0 -0.3779586 -0.6546553 -0.6546553 0 -1 0 0.3779614 -0.6546484 -0.6546607 0 -1 0 0.3779599 -0.654655 -0.654655 0 -1 0 -0.755935 -0.6546467 0 0 -1 0 -0.3779626 -0.654649 -0.6546595 0 -1 0 -0.3779616 -0.6546486 0.6546605 0 -1 0 -0.755935 -0.6546467 0 0 -1 0 0.3779355 -0.6547083 0.6546157 0 -1 0 -0.3779479 -0.6547048 0.6546121 0 -1 0 0.755935 -0.6546467 0 0 -1 0 0.3779706 -0.6546519 0.6546518 0 -1 0 0.755935 -0.6546467 0 0 0 1 0.8660371 0 0.4999799 0 0 1 -0.8660374 0 0.4999792 -0.8660374 0 0.4999792 -0.8660299 0 -0.4999921 -0.8660299 0 -0.4999921 0 0 -1 0 0 -1 0.8660296 0 -0.4999927 0.8660296 0 -0.4999927 0.8660371 0 0.4999799 0.4999946 0 -0.8660285 0.4999946 0 -0.8660285 -0.4999948 0 -0.8660284 1 0 0 1 0 0 0.5000072 0 0.8660213 0.5000072 0 0.8660213 -0.5000073 0 0.8660212 -0.5000073 0 0.8660212 0.4706298 0.3377212 0.8151393 -0.4999948 0 -0.8660284 -0.470673 0.337416 -0.8152408 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -0.3826411 0 -0.923897 0 1 0 0.3826538 0 -0.9238918 0 1 0 0.3826538 0 -0.9238918 0 1 0 -0.9238691 0 -0.3827084 -0.3826411 0 -0.923897 0 1 0 -0.923864 0 0.3827212 -0.9238691 0 -0.3827084 0 1 0 -0.3826677 0 0.9238861 0 1 0 0 1 0 -0.923864 0 0.3827212 0 1 0 0.3826804 0 0.9238808 0 1 0 -0.3826677 0 0.9238861 0 1 0 0.9238641 0 0.3827208 0.3826804 0 0.9238808 0 1 0 0.9238693 0 -0.382708 0.9238641 0 0.3827208 0 1 0 0 1 0 0.9238693 0 -0.382708 0.2157768 0.9021043 -0.3736952 -0.3778594 0.654955 -0.6544128 -0.247559 0.8951108 -0.370798 0.755999 0.6545728 0 0.3778347 0.6549456 -0.6544366 0.4952761 0.3322256 -0.8027003 0.3778977 0.6548609 0.654485 0.755999 0.6545728 0 -0.2157667 0.9021064 0.3736962 0.2475636 0.8951097 0.3707977 -0.755999 0.6545728 0 -0.3778787 0.6548535 0.6545032 -0.4951971 0.3325343 0.8026213 -0.755999 0.6545728 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7070964 0 -0.7071171 0.7071067 0 -0.707107 0.7071067 0 -0.707107 -0.7070968 0 0.7071168 0 1 0 0 1 0 -0.7070964 0 -0.7071171 0.7071069 0 0.7071066 -0.7070968 0 0.7071168 0.7071069 0 0.7071066 0 1 0 0 1 0 0 -1 0 -0.3779584 -0.6546554 -0.6546554 0 -1 0 0.3779554 -0.6546766 -0.6546359 0 -1 0 0.3779608 -0.6546548 -0.6546548 0 -1 0 -0.7558904 -0.6546981 0 0 -1 0 -0.3779475 -0.654673 -0.6546441 0 -1 0 -0.3779503 -0.6546742 0.6546413 0 -1 0 -0.7558904 -0.6546981 0 0 -1 0 0.3779425 -0.6547063 0.6546136 0 -1 0 -0.3779425 -0.6547064 0.6546137 0 -1 0 0.7558897 -0.654699 0 0 -1 0 0.3779599 -0.6546784 0.6546316 0 -1 0 0.7558897 -0.654699 0 0 0 1 0.8660263 0 0.4999986 0 0 1 -0.8660261 0 0.4999989 -0.8660261 0 0.4999989 -0.8660186 0 -0.5000118 -0.8660186 0 -0.5000118 0 0 -1 0 0 -1 0.8660188 0 -0.5000115 0.8660188 0 -0.5000115 0.8660263 0 0.4999986 0.4999957 0 -0.8660279 0.4999957 0 -0.8660279 -0.4999886 0 -0.866032 1 0 0 1 0 0 0.5000082 0 0.8660207 0.5000082 0 0.8660207 -0.500001 0 0.8660247 -0.500001 0 0.8660247 0.4706308 0.3377209 0.8151387 -0.4999886 0 -0.866032 -0.4706668 0.3374172 -0.8152438 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -0.3826538 0 -0.9238918 0 1 0 0.3826411 0 -0.923897 0 1 0 0.3826411 0 -0.923897 0 1 0 -0.9238693 0 -0.382708 -0.3826538 0 -0.9238918 0 1 0 -0.9238641 0 0.3827208 -0.9238693 0 -0.382708 0 1 0 -0.3826804 0 0.9238808 0 1 0 0 1 0 -0.9238641 0 0.3827208 0 1 0 0.3826677 0 0.9238861 0 1 0 -0.3826804 0 0.9238808 0 1 0 0.923864 0 0.3827212 0.3826677 0 0.9238861 0 1 0 0.9238691 0 -0.3827084 0.923864 0 0.3827212 0 1 0 0 1 0 0.9238691 0 -0.3827084 0.2157727 0.9021052 -0.3736957 -0.3778643 0.6549569 -0.6544081 -0.2475636 0.8951097 -0.3707977 0.755999 0.6545728 0 0.3778302 0.6549438 -0.654441 0.4952687 0.3322269 -0.8027043 0.3778927 0.654859 0.6544896 0.755999 0.6545728 0 -0.2157708 0.9021055 0.3736957 0.247559 0.8951108 0.370798 -0.755999 0.6545728 0 -0.3778833 0.6548555 0.6544987 -0.4952045 0.332533 0.8026171 -0.755999 0.6545728 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7071067 0 -0.707107 0.7070964 0 -0.7071171 0.7070964 0 -0.7071171 -0.7071069 0 0.7071066 0 1 0 0 1 0 -0.7071067 0 -0.707107 0.7070968 0 0.7071168 -0.7071069 0 0.7071066 0.7070968 0 0.7071168 0 1 0 0 1 0 0 -1 0 -0.3779655 -0.6546533 -0.6546533 0 -1 0 0.3779503 -0.6546742 -0.6546413 0 -1 0 0.3779546 -0.6546565 -0.6546565 0 -1 0 -0.7558897 -0.654699 0 0 -1 0 -0.3779518 -0.6546753 -0.6546393 0 -1 0 -0.3779554 -0.6546766 0.6546359 0 -1 0 -0.7558897 -0.654699 0 0 -1 0 0.3779355 -0.6547083 0.6546157 0 -1 0 -0.3779487 -0.6547046 0.6546119 0 -1 0 0.7558904 -0.6546981 0 0 -1 0 0.3779555 -0.6546761 0.6546363 0 -1 0 0.7558904 -0.6546981 0 0 0 1 0.8660261 0 0.4999989 0 0 1 -0.8660263 0 0.4999986 -0.8660263 0 0.4999986 -0.8660188 0 -0.5000115 -0.8660188 0 -0.5000115 0 0 -1 0 0 -1 0.8660186 0 -0.5000118 0.8660186 0 -0.5000118 0.8660261 0 0.4999989 0.4999886 0 -0.866032 0.4999886 0 -0.866032 -0.4999957 0 -0.8660279 1 0 0 1 0 0 0.500001 0 0.8660247 0.500001 0 0.8660247 -0.5000082 0 0.8660207 -0.5000082 0 0.8660207 0.4706239 0.3377224 0.8151422 -0.4999957 0 -0.8660279 -0.4706737 0.3374158 -0.8152403 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 -0.3826429 0 -0.9238964 0 1 0 0.3826411 0 -0.923897 0 1 0 0.3826411 0 -0.923897 0 1 0 -0.9238674 0 -0.3827126 -0.3826429 0 -0.9238964 0 1 0 -0.9238622 0 0.3827253 -0.9238674 0 -0.3827126 0 1 0 -0.3826695 0 0.9238854 0 1 0 0 1 0 -0.9238622 0 0.3827253 0 1 0 0.3826677 0 0.9238861 0 1 0 -0.3826695 0 0.9238854 0 1 0 0.923864 0 0.3827212 0.3826677 0 0.9238861 0 1 0 0.9238691 0 -0.3827084 0.923864 0 0.3827212 0 1 0 0 1 0 0.9238691 0 -0.3827084 0.2157727 0.9021052 -0.3736957 -0.3778831 0.6549003 -0.6544539 -0.247563 0.8951097 -0.3707979 0.7560968 0.6544598 0 0.3778586 0.6548889 -0.6544795 0.4952687 0.3322269 -0.8027043 0.3779172 0.6548026 0.6545321 0.7560969 0.6544598 0 -0.2157667 0.9021064 0.3736962 0.247563 0.8951098 0.3707978 -0.7560939 0.6544632 0 -0.3779064 0.6548003 0.6545406 -0.4951971 0.3325343 0.8026213 -0.7560939 0.6544632 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7071064 0 -0.7071071 0.7071068 0 -0.7071068 0.7071068 0 -0.7071068 -0.7071068 0 0.7071068 0 1 0 0 1 0 -0.7071064 0 -0.7071071 0.7071071 0 0.7071064 -0.7071068 0 0.7071068 0.7071071 0 0.7071064 0 1 0 0 1 0 0 -1 0 -0.3779584 -0.6546554 -0.6546554 0 -1 0 0.3779616 -0.6546486 -0.6546605 0 -1 0 0.37796 -0.654655 -0.654655 0 -1 0 -0.755935 -0.6546467 0 0 -1 0 -0.3779625 -0.6546487 -0.6546597 0 -1 0 -0.3779614 -0.6546484 0.6546607 0 -1 0 -0.755935 -0.6546467 0 0 -1 0 0.3779357 -0.6547083 0.6546157 0 -1 0 -0.3779478 -0.6547049 0.6546122 0 -1 0 0.755935 -0.6546467 0 0 -1 0 0.3779707 -0.6546521 0.6546518 0 -1 0 0.755935 -0.6546467 0 0 0 1 0.8660374 0 0.4999792 0 0 1 -0.8660371 0 0.4999799 -0.8660371 0 0.4999799 -0.8660296 0 -0.4999927 -0.8660296 0 -0.4999927 0 0 -1 0 0 -1 0.8660299 0 -0.4999921 0.8660299 0 -0.4999921 0.8660374 0 0.4999792 0.4999948 0 -0.8660284 0.4999948 0 -0.8660284 -0.4999946 0 -0.8660285 1 0 0 1 0 0 0.5000073 0 0.8660212 0.5000073 0 0.8660212 -0.5000072 0 0.8660213 -0.5000072 0 0.8660213 0.47063 0.3377211 0.8151392 -0.4999946 0 -0.8660285 -0.4706727 0.337416 -0.8152409 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.3826538 0 -0.9238918 0 -1 0 -0.3826411 0 -0.923897 0 -1 0 -0.3826411 0 -0.923897 0 -1 0 0.9238693 0 -0.382708 0.3826538 0 -0.9238918 0 -1 0 0.9238641 0 0.3827208 0.9238693 0 -0.382708 0 -1 0 0.3826804 0 0.9238808 0 -1 0 0 -1 0 0.9238641 0 0.3827208 0 -1 0 -0.3826677 0 0.9238861 0 -1 0 0.3826804 0 0.9238808 0 -1 0 -0.923864 0 0.3827212 -0.3826677 0 0.9238861 0 -1 0 -0.9238691 0 -0.3827084 -0.923864 0 0.3827212 0 -1 0 0 -1 0 -0.9238691 0 -0.3827084 -0.2157727 -0.9021052 -0.3736957 0.3778643 -0.6549569 -0.6544081 0.2475636 -0.8951097 -0.3707977 -0.755999 -0.6545728 0 -0.3778302 -0.6549438 -0.654441 -0.4952687 -0.3322269 -0.8027043 -0.3778927 -0.654859 0.6544896 -0.755999 -0.6545728 0 0.2157708 -0.9021055 0.3736957 -0.247559 -0.8951108 0.370798 0.755999 -0.6545728 0 0.3778833 -0.6548555 0.6544987 0.4952045 -0.332533 0.8026171 0.755999 -0.6545728 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071067 0 -0.707107 -0.7070964 0 -0.7071171 -0.7070964 0 -0.7071171 0.7071069 0 0.7071066 0 -1 0 0 -1 0 0.7071067 0 -0.707107 -0.7070968 0 0.7071168 0.7071069 0 0.7071066 -0.7070968 0 0.7071168 0 -1 0 0 -1 0 0 1 0 0.3779655 0.6546533 -0.6546533 0 1 0 -0.3779503 0.6546742 -0.6546413 0 1 0 -0.3779546 0.6546565 -0.6546565 0 1 0 0.7558897 0.654699 0 0 1 0 0.3779518 0.6546753 -0.6546393 0 1 0 0.3779554 0.6546766 0.6546359 0 1 0 0.7558897 0.654699 0 0 1 0 -0.3779355 0.6547083 0.6546157 0 1 0 0.3779487 0.6547046 0.6546119 0 1 0 -0.7558904 0.6546981 0 0 1 0 -0.3779555 0.6546761 0.6546363 0 1 0 -0.7558904 0.6546981 0 0 0 1 -0.8660261 0 0.4999989 0 0 1 0.8660263 0 0.4999986 0.8660263 0 0.4999986 0.8660188 0 -0.5000115 0.8660188 0 -0.5000115 0 0 -1 0 0 -1 -0.8660186 0 -0.5000118 -0.8660186 0 -0.5000118 -0.8660261 0 0.4999989 -0.4999886 0 -0.866032 -0.4999886 0 -0.866032 0.4999957 0 -0.8660279 -1 0 0 -1 0 0 -0.500001 0 0.8660247 -0.500001 0 0.8660247 0.5000082 0 0.8660207 0.5000082 0 0.8660207 -0.4706239 -0.3377224 0.8151422 0.4999957 0 -0.8660279 0.4706737 -0.3374158 -0.8152403 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0.3826429 0 -0.9238964 0 -1 0 -0.3826411 0 -0.923897 0 -1 0 -0.3826411 0 -0.923897 0 -1 0 0.9238674 0 -0.3827126 0.3826429 0 -0.9238964 0 -1 0 0.9238622 0 0.3827253 0.9238674 0 -0.3827126 0 -1 0 0.3826695 0 0.9238854 0 -1 0 0 -1 0 0.9238622 0 0.3827253 0 -1 0 -0.3826677 0 0.9238861 0 -1 0 0.3826695 0 0.9238854 0 -1 0 -0.923864 0 0.3827212 -0.3826677 0 0.9238861 0 -1 0 -0.9238691 0 -0.3827084 -0.923864 0 0.3827212 0 -1 0 0 -1 0 -0.9238691 0 -0.3827084 -0.2157727 -0.9021052 -0.3736957 0.3778831 -0.6549003 -0.6544539 0.247563 -0.8951097 -0.3707979 -0.7560968 -0.6544598 0 -0.3778586 -0.6548889 -0.6544795 -0.4952687 -0.3322269 -0.8027043 -0.3779172 -0.6548026 0.6545321 -0.7560969 -0.6544598 0 0.2157667 -0.9021064 0.3736962 -0.247563 -0.8951098 0.3707978 0.7560939 -0.6544632 0 0.3779064 -0.6548003 0.6545406 0.4951971 -0.3325343 0.8026213 0.7560939 -0.6544632 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071064 0 -0.7071071 -0.7071068 0 -0.7071068 -0.7071068 0 -0.7071068 0.7071068 0 0.7071068 0 -1 0 0 -1 0 0.7071064 0 -0.7071071 -0.7071071 0 0.7071064 0.7071068 0 0.7071068 -0.7071071 0 0.7071064 0 -1 0 0 -1 0 0 1 0 0.3779584 0.6546554 -0.6546554 0 1 0 -0.3779616 0.6546486 -0.6546605 0 1 0 -0.37796 0.654655 -0.654655 0 1 0 0.755935 0.6546467 0 0 1 0 0.3779625 0.6546487 -0.6546597 0 1 0 0.3779614 0.6546484 0.6546607 0 1 0 0.755935 0.6546467 0 0 1 0 -0.3779357 0.6547083 0.6546157 0 1 0 0.3779478 0.6547049 0.6546122 0 1 0 -0.755935 0.6546467 0 0 1 0 -0.3779707 0.6546521 0.6546518 0 1 0 -0.755935 0.6546467 0 0 0 1 -0.8660374 0 0.4999792 0 0 1 0.8660371 0 0.4999799 0.8660371 0 0.4999799 0.8660296 0 -0.4999927 0.8660296 0 -0.4999927 0 0 -1 0 0 -1 -0.8660299 0 -0.4999921 -0.8660299 0 -0.4999921 -0.8660374 0 0.4999792 -0.4999948 0 -0.8660284 -0.4999948 0 -0.8660284 0.4999946 0 -0.8660285 -1 0 0 -1 0 0 -0.5000073 0 0.8660212 -0.5000073 0 0.8660212 0.5000072 0 0.8660213 0.5000072 0 0.8660213 -0.47063 -0.3377211 0.8151392 0.4999946 0 -0.8660285 0.4706727 -0.337416 -0.8152409 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 0.5773474 -0.5773646 0.5773388 0 -1 0 -0.5773444 -0.5774054 0.5773011 -0.577353 -0.5773618 0.577336 0.5773364 -0.5773823 -0.577332 0.5773347 -0.5773806 0.5773356 -0.5773648 -0.5773602 -0.5773258 0.5773382 -0.5773735 -0.5773391 -0.5773357 -0.5773967 -0.5773186 0 1 0 0.5773604 0.5773345 -0.577356 0 1 0 -0.5773616 0.5773667 -0.5773226 -0.5773688 0.5773302 -0.5773517 0.5773565 0.5773465 0.5773478 0.5773533 0.5773433 -0.5773543 -0.5773892 0.5773158 0.577346 0.5773597 0.5773305 0.5773606 -0.5773543 0.5773594 0.5773372 0.7071062 0 0.7071073 0.7071062 0 0.7071073 -0.7071173 0 0.7070963 0.7071062 0 -0.7071073 0.7071062 0 -0.7071073 -0.7071173 0 -0.7070963 -0.7071173 0 -0.7070963 -0.7071173 0 0.7070963 0 -1 0 0.5773293 -0.577306 -0.5774155 0 -1 0 0.5773243 -0.5773761 0.5773503 0.5773577 -0.5773344 0.5773586 -0.5772671 -0.577465 -0.5773187 0.577301 -0.5774481 -0.5773019 -0.5773559 -0.5773476 0.5773473 -0.5773587 -0.5773504 -0.5773416 -0.5773531 -0.5773618 0.577336 0 1 0 -0.5773544 0.5772902 -0.5774061 0 1 0 -0.577366 0.5773274 0.5773574 -0.5773774 0.5773131 0.5773603 0.5772627 0.5774392 -0.5773489 -0.5773316 0.5774048 -0.5773145 0.577368 0.5772888 0.577394 0.5773764 0.5772972 -0.5773773 0.5773597 0.5773305 0.5773606 0.7071062 0 -0.7071073 0.7071062 0 -0.7071073 0.7071062 0 0.7071073 -0.7071173 0 -0.7070963 -0.7071173 0 -0.7070963 -0.7071173 0 0.7070963 -0.7071173 0 0.7070963 0.7071062 0 0.7071073 1 0 0 0 0.7071176 -0.7070959 1 0 0 0 -0.7071052 -0.7071084 1 0 0 0 -0.7071052 -0.7071084 1 0 0 0 0.7071176 0.7070959 1 0 0 1 0 0 0 0.7071176 -0.7070959 1 0 0 0 -0.7071052 0.7071084 1 0 0 0 0.7071176 0.7070959 1 0 0 1 0 0 0 -0.7071052 0.7071084 0.9020493 -0.2158139 -0.3738065 0.6545813 0.3779984 -0.6547064 0.8934413 0.254333 -0.3702394 0.6547919 -0.7558093 0 0.6545788 -0.3779917 -0.6547128 0.3313307 -0.50064 -0.7997372 0.654573 -0.3779947 0.654717 0.6547919 -0.7558092 0 0.9021105 0.2157539 0.3736936 0.8935034 -0.2542766 0.3701285 0.6547919 0.7558093 0 0.6545749 0.3779991 0.6547124 0.3310292 0.5007229 0.79981 0.6547919 0.7558093 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7071089 -0.7071049 0 -0.7070936 -0.70712 0 -0.7070936 -0.70712 0 0.7071089 0.7071049 0 0.7071089 -0.7071049 0 -0.7070936 0.70712 0 0.7071089 0.7071049 0 -0.7070936 0.70712 1 0 0 1 0 0 -1 0 0 -0.6546583 0.3779486 -0.6546583 -1 0 0 -1 0 0 -0.654567 -0.3779807 -0.6547311 -1 0 0 -1 0 0 -0.6546554 -0.3779587 -0.6546554 -0.6547836 0.7558165 0 -0.6545746 0.3780002 -0.6547121 -1 0 0 -0.6545695 0.3779873 0.6547246 -1 0 0 -0.6547836 0.7558165 0 -1 0 0 -0.6546536 -0.3779434 0.6546658 -1 0 0 -1 0 0 -1 0 0 -0.6546466 0.3779682 0.6546587 -0.6547836 -0.7558165 0 -0.654572 -0.3779938 0.6547184 -1 0 0 -0.6547836 -0.7558165 0 0 0 1 0 -0.8660334 0.4999862 0 0 1 0 0.8660362 0.4999814 0 0.8660362 0.4999814 0 0.8660362 -0.4999814 0 0.8660362 -0.4999814 0 0 -1 0 0 -1 0 -0.8660334 -0.4999862 0 -0.8660334 -0.4999862 0 -0.8660334 0.4999862 0 -0.4999933 -0.8660294 0 -0.4999933 -0.8660294 0 0.500002 -0.8660243 0 -1 0 0 -1 0 0 -0.499992 0.86603 0 -0.499992 0.86603 0 0.5000008 0.8660249 0 0.5000008 0.8660249 0.3374165 -0.4706702 0.8152421 0 0.500002 -0.8660243 0.3377141 0.4706262 -0.8151443 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 0 0.7071052 -0.7071084 1 0 0 0 -0.7071176 -0.7070959 1 0 0 0 -0.7071176 -0.7070959 1 0 0 0 0.7071052 0.7071084 1 0 0 1 0 0 0 0.7071052 -0.7071084 1 0 0 0 -0.7071176 0.7070959 1 0 0 0 0.7071052 0.7071084 1 0 0 1 0 0 0 -0.7071176 0.7070959 0.9020482 -0.2158191 -0.3738061 0.6545791 0.3779923 -0.6547122 0.8934428 0.2543274 -0.37024 0.6547919 -0.7558093 0 0.654581 -0.3779974 -0.6547074 0.3313291 -0.5006492 -0.7997321 0.6545753 -0.3780007 0.6547111 0.6547919 -0.7558092 0 0.9021115 0.2157487 0.373694 0.8935021 -0.2542822 0.3701279 0.6547919 0.7558093 0 0.6545725 0.3779937 0.6547181 0.3310316 0.5007135 0.7998149 0.6547919 0.7558093 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0.7070936 -0.70712 0 -0.7071089 -0.7071049 0 -0.7071089 -0.7071049 0 0.7070936 0.70712 0 0.7070936 -0.70712 0 -0.7071089 0.7071049 0 0.7070936 0.70712 0 -0.7071089 0.7071049 1 0 0 1 0 0 -1 0 0 -0.6546607 0.37794 -0.6546607 -1 0 0 -1 0 0 -0.6545695 -0.377987 -0.6547248 -1 0 0 -1 0 0 -0.6546532 -0.3779662 -0.6546532 -0.6547836 0.7558165 0 -0.6545723 0.3779946 -0.6547177 -1 0 0 -0.6545671 0.3779809 0.6547307 -1 0 0 -0.6547836 0.7558165 0 -1 0 0 -0.6546512 -0.377952 0.6546634 -1 0 0 -1 0 0 -1 0 0 -0.6546487 0.3779606 0.6546608 -0.6547836 -0.7558165 0 -0.6545743 -0.3779995 0.654713 -1 0 0 -0.6547836 -0.7558165 0 0 0 1 0 -0.8660362 0.4999814 0 0 1 0 0.8660334 0.4999862 0 0.8660334 0.4999862 0 0.8660334 -0.4999862 0 0.8660334 -0.4999862 0 0 -1 0 0 -1 0 -0.8660362 -0.4999814 0 -0.8660362 -0.4999814 0 -0.8660362 0.4999814 0 -0.500002 -0.8660243 0 -0.500002 -0.8660243 0 0.4999933 -0.8660294 0 -1 0 0 -1 0 0 -0.5000008 0.8660249 0 -0.5000008 0.8660249 0 0.499992 0.86603 0 0.499992 0.86603 0.3374148 -0.4706788 0.8152379 0 0.4999933 -0.8660294 0.3377158 0.4706177 -0.8151484 0 1 0 0 1 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0 1 0 0 1 0 -0.5000064 -1.98691e-4 0.8660217 0 1 0 0 1 0 -0.4999936 0 0.8660292 -0.4999986 3.49516e-4 -0.8660261 -1 0 0 0 1 0 0.5000163 -2.98043e-4 -0.8660159 0 1 0 -0.4999953 2.98248e-4 -0.8660281 0 1 0 1 0 -1.49016e-5 0 1 0 0 1 0 0 1 0 0.4999969 0 -0.8660272 0.4999982 2.44795e-4 0.8660265 1 -1.98689e-4 0 0 1 0 0.4999951 1.98581e-4 0.8660282 0.8660187 0 -0.5000114 0.8660292 0 0.4999936 0.8660187 0 -0.5000114 0 0 -1 0 0 -1 -0.8660187 0 -0.5000114 -0.8660187 0 -0.5000114 -0.8660292 0 0.4999936 -0.8660292 0 0.4999936 0 0 1 0 0 1 0.8660292 0 0.4999936 0.7559351 -0.6546466 0 0.4471499 -0.6785898 -0.5827288 0.3969104 -0.6081452 -0.6874747 0.4034522 -0.5906715 0.6988087 0.826394 -0.5524836 -0.1087878 0.5447043 -0.7270685 0.4179338 -0.3969058 -0.6081503 0.6874729 0.08961474 -0.7270601 0.6807002 -0.4471417 -0.6785911 0.5827335 -0.7559323 -0.6546497 0 0.9914463 0 -0.1305155 0.2588024 0 -0.9659303 0.5411118 -0.4581691 -0.7051803 0.7052173 -0.4581376 0.5410901 0.1305245 0 0.9914451 0.9659305 0 0.2588019 -0.5411083 -0.458151 0.7051947 -0.2588181 0 0.9659261 -0.9914451 0 0.1305251 -0.8263958 -0.5524793 0.1087961 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.965925 0 -0.2588219 -0.705178 -0.4581614 -0.5411212 0 -1 0 -0.965929 0 -0.2588071 -0.258812 0 0.9659277 -0.258812 0 0.9659277 0.2588049 0 -0.9659296 -0.965929 0 -0.2588071 0.9659218 0 0.258834 0.2588049 0 -0.9659296 0.9659218 0 0.258834 -0.1305568 0 -0.9914409 0 -1 0 0 -1 0 -0.4034452 -0.5906908 -0.6987963 -0.5446804 -0.7270697 -0.4179627 -0.08963638 -0.727064 -0.6806934 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.5000056 0 0.8660222 0 1 0 0 1 0 0.9999999 -1.98695e-4 1.49018e-5 0 1 0 0 1 0 1 0 0 -0.4999964 2.88167e-4 0.8660274 0.4999985 -1.08764e-4 0.8660262 0 1 0 -0.9999999 -1.98695e-4 -1.49018e-5 0 1 0 -0.4999993 2.44056e-4 0.8660258 0 1 0 -0.5000071 0 -0.8660213 0 1 0 0 1 0 0 1 0 -1 0 0 0.4999979 3.59684e-4 -0.8660265 -0.5000062 -1.28849e-5 -0.8660218 0 1 0 0.5000054 2.44812e-4 -0.8660223 -0.8660312 0 -0.4999902 0 0 -1 -0.8660312 0 -0.4999902 -0.8660312 0 0.4999902 -0.8660312 0 0.4999902 0 0 1 0 0 1 0.8660312 0 0.4999902 0.8660312 0 0.4999902 0.8660312 0 -0.4999902 0.8660312 0 -0.4999902 0 0 -1 -0.377972 -0.6546472 -0.6546558 -0.7282333 -0.6785911 -0.09586632 -0.7938156 -0.6081584 0 0.4034555 -0.590685 -0.6987954 -0.5074303 -0.5524706 -0.6612797 0.08961141 -0.7270709 -0.6806892 0.7938156 -0.6081584 0 0.5446849 -0.7270655 -0.4179642 0.7282333 -0.6785911 0.09586632 0.377967 -0.6546453 0.6546606 -0.6087709 0 -0.7933461 -0.9659237 0 0.2588271 -0.8812728 -0.4581478 -0.1160128 0.1160176 -0.4581502 -0.8812709 0.7933444 0 -0.6087732 -0.2588244 0 -0.9659244 0.8812727 -0.4581478 0.1160128 0.9659237 0 -0.2588271 0.6087521 0 0.7933605 0.5074096 -0.5524827 0.6612852 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.2588245 0 0.9659243 -0.1160216 -0.4581546 0.881268 0 -1 0 0.2588311 0 0.9659226 0.9659218 0 -0.2588339 0.9659218 0 -0.2588339 -0.9659218 0 0.2588339 0.2588311 0 0.9659226 -0.2588312 0 -0.9659225 -0.9659218 0 0.2588339 -0.2588312 0 -0.9659225 -0.7933443 0 0.6087732 0 -1 0 0 -1 0 -0.403452 -0.5906812 0.6988006 -0.0896157 -0.727064 0.6806959 -0.544685 -0.7270655 0.4179642 0 1 0 0 1 0 0 1 0 0 1 0 0 -1 0 -0.4999912 0 -0.8660305 0 -1 0 0 -1 0 0.4999969 1.44108e-4 -0.8660272 0 -1 0 0 -1 0 0.5000062 0 -0.8660218 -1 -1.98689e-4 0 -0.500007 2.43297e-4 -0.8660213 0 -1 0 -0.499984 2.46818e-4 0.8660346 0 -1 0 -0.9999999 -1.98689e-4 0 0 -1 0 0.4999897 0 0.8660314 0 -1 0 0 -1 0 0 -1 0 -0.5000002 0 0.8660253 1 -3.97377e-4 0 0.4999993 1.48177e-4 0.8660258 0 -1 0 0.9999999 -3.97377e-4 0 0 0 1 0.8660266 0 0.4999979 0 0 1 -0.8660445 0 0.4999669 -0.8660445 0 0.4999669 -0.8660445 0 -0.4999669 -0.8660445 0 -0.4999669 0 0 -1 0 0 -1 0.8660266 0 -0.4999979 0.8660266 0 -0.4999979 0.8660266 0 0.4999979 0.3779666 0.6546477 0.6546585 -0.2810592 0.6785979 0.6786092 -0.3969151 0.6081398 0.6874768 0.8068973 0.5906918 0 0.3189644 0.5524544 0.7701013 0.6343038 0.7270696 0.2627328 0.396916 0.60815 -0.6874673 0.6343038 0.7270696 -0.2627328 0.2810666 0.6786028 -0.6786015 -0.3779702 0.6546526 -0.6546514 0.3826609 0 0.9238889 -0.7070975 0 0.7071161 -0.3401227 0.4581715 0.8212159 0.821215 0.4581508 0.3401526 0.9238818 0 -0.3826779 0.7071068 0 0.7071069 0.3401345 0.4581667 -0.8212136 0.7071068 0 -0.7071068 -0.382649 0 -0.9238938 -0.3189577 0.5524415 -0.7701132 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.7070975 0 -0.707116 -0.8212074 0.4581669 -0.3401494 0 1 0 -0.7070941 0 -0.7071195 0.7071069 0 -0.7071067 0.7071069 0 -0.7071067 -0.707094 0 0.7071195 -0.7070941 0 -0.7071195 0.7071068 0 0.7071067 -0.707094 0 0.7071195 0.7071068 0 0.7071067 -0.9238818 0 0.3826779 0 1 0 0 1 0 -0.8069087 0.5906761 0 -0.6343125 0.7270607 -0.2627364 -0.6343125 0.7270606 0.2627364 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 1 0 1.49018e-5 0 -1 0 0 -1 0 0.5000056 1.09212e-4 0.8660221 0 -1 0 0 -1 0 0.4999985 0 0.8660262 0.4999979 -2.44795e-4 -0.8660266 0.9999999 1.98689e-4 0 0 -1 0 -0.5000071 1.28603e-5 -0.8660213 0 -1 0 0.5000054 -3.59639e-4 -0.8660222 0 -1 0 -1 0 -1.49018e-5 0 -1 0 0 -1 0 0 -1 0 -0.5000062 0 -0.8660218 -0.4999964 -2.4446e-4 0.8660274 -0.9999999 1.98689e-4 0 0 -1 0 -0.4999993 -2.88774e-4 0.8660258 -0.8660312 0 -0.4999902 -0.8660312 0 0.4999902 -0.8660312 0 -0.4999902 0 0 -1 0 0 -1 0.8660312 0 -0.4999902 0.8660312 0 -0.4999902 0.8660312 0 0.4999902 0.8660312 0 0.4999902 0 0 1 0 0 1 -0.8660312 0 0.4999902 -0.7559337 0.6546482 0 -0.4471513 0.6785928 -0.5827245 -0.396915 0.6081526 -0.6874656 -0.403452 0.5906812 0.6988006 -0.8263912 0.5524877 -0.108788 -0.544685 0.7270655 0.4179642 0.3969082 0.6081544 0.6874678 -0.0896157 0.727064 0.6806959 0.4471395 0.6785891 0.5827377 0.7559337 0.6546481 0 -0.9914462 0 -0.1305162 -0.2588244 0 -0.9659244 -0.5411197 0.4581546 -0.7051836 -0.7051818 0.458155 0.5411217 -0.1305268 0 0.9914447 -0.9659237 0 0.2588271 0.5411095 0.4581338 0.7052048 0.2588245 0 0.9659243 0.9914461 0 0.1305162 0.8263913 0.5524877 0.108788 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0.9659237 0 -0.2588271 0.7051819 0.458155 -0.5411217 0 1 0 0.9659218 0 -0.2588339 0.2588311 0 0.9659226 0.2588311 0 0.9659226 -0.2588312 0 -0.9659225 0.9659218 0 -0.2588339 -0.9659218 0 0.2588339 -0.2588312 0 -0.9659225 -0.9659218 0 0.2588339 0.1305219 0 -0.9914455 0 1 0 0 1 0 0.4034555 0.590685 -0.6987954 0.5446849 0.7270655 -0.4179642 0.08961141 0.7270709 -0.6806892 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 -0.5000064 0 0.8660218 0 -1 0 0 -1 0 -1 0 0 0 -1 0 0 -1 0 -1 0 0 0.4999982 -1.98688e-4 0.8660265 -0.4999935 1.9858e-4 0.8660291 0 -1 0 1 1.98695e-4 -1.49016e-5 0 -1 0 0.4999951 -2.44815e-4 0.8660282 0 -1 0 0.5000163 0 -0.866016 0 -1 0 0 -1 0 0 -1 0 1 0 0 -0.4999986 -2.98032e-4 -0.8660261 0.4999969 2.98249e-4 -0.8660272 0 -1 0 -0.4999953 -3.49409e-4 -0.8660281 0.8660187 0 -0.5000114 0 0 -1 0.8660187 0 -0.5000114 0.8660292 0 0.4999936 0.8660292 0 0.4999936 0 0 1 0 0 1 -0.8660292 0 0.4999936 -0.8660292 0 0.4999936 -0.8660187 0 -0.5000114 -0.8660187 0 -0.5000114 0 0 -1 0.3779669 0.6546427 -0.6546633 0.728235 0.6785894 -0.09586596 0.7938171 0.6081566 0 -0.4034452 0.5906909 -0.6987963 0.5074309 0.5524609 -0.6612872 -0.08963638 0.727064 -0.6806934 -0.7938171 0.6081566 0 -0.5446804 0.7270697 -0.4179627 -0.7282298 0.6785939 0.09587246 -0.3779633 0.6546452 0.6546629 0.608767 0 -0.7933491 0.9659305 0 0.2588019 0.8812819 0.4581301 -0.1160134 -0.116048 0.4581599 -0.8812619 -0.7933429 0 -0.608775 0.2588024 0 -0.9659303 -0.8812702 0.4581508 0.1160205 -0.965925 0 -0.2588219 -0.6087568 0 0.793357 -0.5074175 0.5524729 0.6612875 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 -0.2588181 0 0.9659261 0.1160198 0.4581531 0.881269 0 1 0 -0.258812 0 0.9659277 -0.965929 0 -0.2588071 -0.965929 0 -0.2588071 0.9659218 0 0.258834 -0.258812 0 0.9659277 0.2588049 0 -0.9659296 0.9659218 0 0.258834 0.2588049 0 -0.9659296 0.7933762 0 0.6087316 0 1 0 0 1 0 0.4034522 0.5906715 0.6988087 0.08961474 0.7270601 0.6807002 0.5447043 0.7270685 0.4179338 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0.4999969 0 -0.8660272 0 1 0 0 1 0 -0.4999912 -2.43454e-4 -0.8660305 0 1 0 0 1 0 -0.500007 0 -0.8660213 1 3.97377e-4 0 0.5000062 -1.44386e-4 -0.8660218 0 1 0 0.4999897 -1.47473e-4 0.8660314 0 1 0 0.9999999 3.97377e-4 0 0 1 0 -0.499984 0 0.8660346 0 1 0 0 1 0 0 1 0 0.4999993 0 0.8660258 -1 1.98689e-4 0 -0.5000002 -2.47467e-4 0.8660253 0 1 0 -0.9999999 1.98689e-4 0 0 0 1 -0.8660445 0 0.4999669 0 0 1 0.8660266 0 0.4999979 0.8660266 0 0.4999979 0.8660266 0 -0.4999979 0.8660266 0 -0.4999979 0 0 -1 0 0 -1 -0.8660445 0 -0.4999669 -0.8660445 0 -0.4999669 -0.8660445 0 0.4999669 -0.3779672 -0.6546475 0.6546583 0.2810688 -0.678596 0.6786072 0.3969117 -0.6081469 0.6874725 -0.8069087 -0.5906761 0 -0.3189576 -0.5524414 0.7701134 -0.6343125 -0.7270606 0.2627364 -0.3969194 -0.6081428 -0.6874717 -0.6343125 -0.7270607 -0.2627364 -0.2810571 -0.6786047 -0.6786034 0.3779695 -0.6546528 -0.6546517 -0.3826488 0 0.923894 0.7071068 0 0.7071069 0.3401343 -0.4581667 0.8212136 -0.8212073 -0.4581669 0.3401494 -0.9238818 0 -0.3826779 -0.7070975 0 0.7071161 -0.3401228 -0.4581714 -0.8212158 -0.7070975 0 -0.707116 0.382661 0 -0.9238888 0.3189644 -0.5524545 -0.7701012 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0.7071068 0 -0.7071068 0.821215 -0.4581508 -0.3401526 0 -1 0 0.7071069 0 -0.7071067 -0.7070941 0 -0.7071195 -0.7070941 0 -0.7071195 0.7071068 0 0.7071067 0.7071069 0 -0.7071067 -0.707094 0 0.7071195 0.7071068 0 0.7071067 -0.707094 0 0.7071195 0.9238818 0 0.3826779 0 -1 0 0 -1 0 0.8068973 -0.5906918 0 0.6343038 -0.7270696 -0.2627328 0.6343038 -0.7270696 0.2627328 0 1 0 0 1 0 0 1 0 0 1 0</float_array>
+ <technique_common>
+ <accessor source="#wrist_r-mesh-normals-array" count="11008" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="wrist_r-mesh-vertices">
+ <input semantic="POSITION" source="#wrist_r-mesh-positions"/>
+ </vertices>
+ <polylist material="aluminum-material" count="11008">
+ <input semantic="VERTEX" source="#wrist_r-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#wrist_r-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 0 1 0 2 0 3 1 2 1 1 1 4 2 2 2 5 2 6 3 5 3 2 3 7 4 0 4 2 4 8 5 7 5 2 5 9 6 8 6 2 6 10 7 9 7 2 7 11 8 10 8 2 8 12 9 11 9 2 9 4 10 12 10 2 10 6 11 2 11 3 11 13 12 14 12 1 12 15 13 1 13 14 13 0 14 16 14 1 14 17 15 1 15 16 15 18 16 13 16 1 16 19 17 18 17 1 17 20 18 19 18 1 18 21 19 20 19 1 19 17 20 21 20 1 20 15 21 3 21 1 21 22 22 23 22 14 22 24 23 14 23 23 23 25 24 22 24 14 24 13 25 25 25 14 25 24 26 15 26 14 26 26 27 23 27 22 27 26 28 24 28 23 28 27 29 28 29 22 29 29 30 22 30 28 30 30 31 22 31 25 31 31 32 32 32 22 32 33 33 22 33 32 33 30 34 31 34 22 34 34 35 27 35 22 35 33 36 34 36 22 36 29 37 26 37 22 37 35 38 36 38 28 38 37 39 28 39 36 39 38 40 39 40 28 40 35 41 28 41 39 41 40 42 38 42 28 42 41 43 40 43 28 43 42 44 28 44 27 44 41 45 28 45 42 45 37 46 29 46 28 46 43 47 44 47 36 47 45 48 36 48 44 48 46 49 43 49 36 49 47 50 46 50 36 50 48 51 47 51 36 51 49 52 48 52 36 52 50 53 49 53 36 53 51 54 50 54 36 54 35 55 51 55 36 55 45 56 37 56 36 56 52 57 53 57 44 57 54 58 44 58 53 58 43 59 55 59 44 59 56 60 44 60 55 60 57 61 52 61 44 61 58 62 57 62 44 62 59 63 58 63 44 63 60 64 59 64 44 64 56 65 60 65 44 65 54 66 45 66 44 66 61 67 62 67 53 67 63 68 53 68 62 68 64 69 61 69 53 69 52 70 64 70 53 70 63 71 54 71 53 71 65 72 62 72 61 72 65 73 63 73 62 73 66 74 5 74 61 74 67 75 61 75 5 75 68 76 61 76 64 76 69 77 70 77 61 77 71 78 61 78 70 78 68 79 69 79 61 79 72 80 66 80 61 80 71 81 72 81 61 81 67 82 65 82 61 82 73 83 74 83 5 83 4 84 5 84 74 84 75 85 73 85 5 85 76 86 75 86 5 86 77 87 5 87 66 87 76 88 5 88 77 88 6 89 67 89 5 89 78 90 79 90 80 90 81 91 80 91 79 91 78 92 80 92 8 92 82 93 8 93 80 93 82 94 80 94 81 94 78 95 16 95 79 95 83 96 79 96 16 96 83 97 81 97 79 97 84 98 16 98 0 98 78 99 17 99 16 99 83 100 16 100 84 100 85 101 0 101 7 101 84 102 0 102 85 102 86 103 7 103 8 103 85 104 7 104 86 104 9 105 78 105 8 105 86 106 8 106 82 106 87 107 88 107 89 107 90 108 89 108 88 108 19 109 89 109 91 109 92 110 91 110 89 110 93 111 89 111 19 111 87 112 89 112 93 112 92 113 89 113 90 113 94 114 25 114 88 114 95 115 88 115 25 115 96 116 94 116 88 116 87 117 96 117 88 117 95 118 90 118 88 118 97 119 25 119 13 119 98 120 30 120 25 120 94 121 98 121 25 121 95 122 25 122 97 122 99 123 13 123 18 123 97 124 13 124 99 124 19 125 91 125 18 125 100 126 18 126 91 126 99 127 18 127 100 127 100 128 91 128 92 128 33 129 32 129 101 129 102 130 101 130 32 130 41 131 101 131 103 131 104 132 103 132 101 132 105 133 33 133 101 133 41 134 105 134 101 134 104 135 101 135 102 135 106 136 32 136 31 136 106 137 102 137 32 137 107 138 31 138 30 138 106 139 31 139 107 139 108 140 109 140 30 140 110 141 30 141 109 141 98 142 108 142 30 142 107 143 30 143 110 143 111 144 103 144 109 144 112 145 109 145 103 145 113 146 111 146 109 146 108 147 113 147 109 147 110 148 109 148 112 148 111 149 41 149 103 149 112 150 103 150 104 150 114 151 115 151 116 151 117 152 116 152 115 152 41 153 116 153 118 153 119 154 118 154 116 154 41 155 114 155 116 155 119 156 116 156 117 156 114 157 39 157 115 157 120 158 115 158 39 158 120 159 117 159 115 159 121 160 39 160 38 160 122 161 35 161 39 161 114 162 122 162 39 162 120 163 39 163 121 163 123 164 38 164 40 164 121 165 38 165 123 165 41 166 118 166 40 166 124 167 40 167 118 167 123 168 40 168 124 168 124 169 118 169 119 169 125 170 126 170 127 170 128 171 127 171 126 171 125 172 127 172 47 172 129 173 47 173 127 173 129 174 127 174 128 174 125 175 55 175 126 175 130 176 126 176 55 176 130 177 128 177 126 177 131 178 55 178 43 178 125 179 56 179 55 179 130 180 55 180 131 180 132 181 43 181 46 181 131 182 43 182 132 182 133 183 46 183 47 183 132 184 46 184 133 184 48 185 125 185 47 185 133 186 47 186 129 186 134 187 135 187 136 187 137 188 136 188 135 188 58 189 136 189 138 189 139 190 138 190 136 190 140 191 136 191 58 191 134 192 136 192 140 192 139 193 136 193 137 193 141 194 64 194 135 194 142 195 135 195 64 195 143 196 135 196 134 196 143 197 141 197 135 197 142 198 137 198 135 198 144 199 64 199 52 199 145 200 68 200 64 200 141 201 145 201 64 201 142 202 64 202 144 202 146 203 52 203 57 203 144 204 52 204 146 204 58 205 138 205 57 205 147 206 57 206 138 206 146 207 57 207 147 207 147 208 138 208 139 208 71 209 70 209 148 209 149 210 148 210 70 210 76 211 148 211 150 211 151 212 150 212 148 212 152 213 71 213 148 213 76 214 152 214 148 214 151 215 148 215 149 215 153 216 70 216 69 216 153 217 149 217 70 217 154 218 69 218 68 218 153 219 69 219 154 219 155 220 156 220 68 220 157 221 68 221 156 221 145 222 155 222 68 222 154 223 68 223 157 223 158 224 150 224 156 224 159 225 156 225 150 225 160 226 158 226 156 226 155 227 160 227 156 227 157 228 156 228 159 228 158 229 76 229 150 229 159 230 150 230 151 230 161 231 162 231 163 231 164 232 163 232 162 232 76 233 163 233 165 233 166 234 165 234 163 234 76 235 161 235 163 235 166 236 163 236 164 236 161 237 74 237 162 237 167 238 162 238 74 238 167 239 164 239 162 239 168 240 74 240 73 240 169 241 4 241 74 241 161 242 169 242 74 242 167 243 74 243 168 243 170 244 73 244 75 244 168 245 73 245 170 245 76 246 165 246 75 246 171 247 75 247 165 247 170 248 75 248 171 248 171 249 165 249 166 249 172 250 19 250 20 250 173 251 93 251 19 251 173 252 19 252 172 252 174 253 20 253 21 253 174 254 172 254 20 254 175 255 21 255 17 255 174 256 21 256 175 256 78 257 176 257 17 257 177 258 17 258 176 258 175 259 17 259 177 259 87 260 93 260 176 260 178 261 176 261 93 261 78 262 87 262 176 262 177 263 176 263 178 263 178 264 93 264 173 264 179 265 27 265 34 265 180 266 42 266 27 266 180 267 27 267 179 267 181 268 34 268 33 268 181 269 179 269 34 269 182 270 33 270 105 270 181 271 33 271 182 271 41 272 183 272 105 272 184 273 105 273 183 273 182 274 105 274 184 274 41 275 42 275 183 275 185 276 183 276 42 276 184 277 183 277 185 277 185 278 42 278 180 278 186 279 58 279 59 279 187 280 140 280 58 280 187 281 58 281 186 281 188 282 59 282 60 282 188 283 186 283 59 283 189 284 60 284 56 284 188 285 60 285 189 285 125 286 190 286 56 286 191 287 56 287 190 287 189 288 56 288 191 288 134 289 140 289 190 289 192 290 190 290 140 290 125 291 134 291 190 291 191 292 190 292 192 292 192 293 140 293 187 293 193 294 66 294 72 294 194 295 77 295 66 295 194 296 66 296 193 296 195 297 72 297 71 297 195 298 193 298 72 298 196 299 71 299 152 299 195 300 71 300 196 300 76 301 197 301 152 301 198 302 152 302 197 302 196 303 152 303 198 303 76 304 77 304 197 304 199 305 197 305 77 305 198 306 197 306 199 306 199 307 77 307 194 307 200 308 134 308 125 308 201 309 143 309 134 309 201 310 134 310 200 310 202 311 125 311 48 311 202 312 203 312 125 312 200 313 125 313 203 313 204 314 48 314 49 314 204 315 202 315 48 315 205 316 49 316 50 316 206 317 204 317 49 317 206 318 49 318 205 318 207 319 50 319 51 319 208 320 50 320 207 320 205 321 50 321 208 321 209 322 51 322 35 322 209 323 207 323 51 323 210 324 35 324 122 324 209 325 35 325 210 325 211 326 122 326 114 326 212 327 210 327 122 327 212 328 122 328 213 328 211 329 213 329 122 329 214 330 114 330 41 330 211 331 114 331 214 331 215 332 41 332 111 332 214 333 41 333 215 333 216 334 111 334 113 334 216 335 215 335 111 335 217 336 113 336 108 336 218 337 216 337 113 337 218 338 113 338 217 338 219 339 108 339 98 339 220 340 108 340 219 340 217 341 108 341 220 341 221 342 98 342 94 342 221 343 219 343 98 343 222 344 94 344 96 344 221 345 94 345 222 345 223 346 96 346 87 346 224 347 222 347 96 347 224 348 96 348 225 348 223 349 225 349 96 349 226 350 87 350 78 350 223 351 87 351 226 351 227 352 78 352 9 352 227 353 228 353 78 353 226 354 78 354 228 354 229 355 9 355 10 355 229 356 227 356 9 356 230 357 10 357 11 357 231 358 229 358 10 358 231 359 10 359 230 359 232 360 11 360 12 360 233 361 11 361 232 361 230 362 11 362 233 362 234 363 12 363 4 363 234 364 232 364 12 364 235 365 4 365 169 365 234 366 4 366 235 366 236 367 169 367 161 367 237 368 235 368 169 368 237 369 169 369 238 369 236 370 238 370 169 370 239 371 161 371 76 371 236 372 161 372 239 372 240 373 76 373 158 373 240 374 241 374 76 374 239 375 76 375 241 375 242 376 158 376 160 376 242 377 240 377 158 377 243 378 160 378 155 378 244 379 242 379 160 379 244 380 160 380 243 380 245 381 155 381 145 381 246 382 155 382 245 382 243 383 155 383 246 383 247 384 145 384 141 384 247 385 245 385 145 385 248 386 141 386 143 386 247 387 141 387 248 387 249 388 248 388 143 388 249 389 143 389 250 389 201 390 250 390 143 390 251 391 252 391 253 391 254 392 253 392 252 392 255 393 253 393 256 393 257 394 256 394 253 394 255 395 258 395 253 395 259 396 253 396 258 396 260 397 251 397 253 397 261 398 260 398 253 398 259 399 261 399 253 399 257 400 253 400 254 400 262 401 263 401 252 401 264 402 252 402 263 402 251 403 262 403 252 403 264 404 254 404 252 404 265 405 266 405 263 405 267 406 263 406 266 406 268 407 263 407 262 407 269 408 265 408 263 408 268 409 269 409 263 409 264 410 263 410 267 410 270 411 271 411 266 411 272 412 266 412 271 412 273 413 266 413 274 413 265 414 274 414 266 414 275 415 270 415 266 415 276 416 275 416 266 416 273 417 276 417 266 417 267 418 266 418 272 418 277 419 256 419 271 419 257 420 271 420 256 420 270 421 277 421 271 421 278 422 271 422 257 422 272 423 271 423 278 423 279 424 256 424 277 424 280 425 255 425 256 425 279 426 280 426 256 426 123 427 281 427 274 427 282 428 274 428 281 428 132 429 274 429 283 429 284 430 283 430 274 430 121 431 123 431 274 431 120 432 121 432 274 432 285 433 120 433 274 433 286 434 274 434 132 434 286 435 273 435 274 435 287 436 285 436 274 436 288 437 287 437 274 437 265 438 288 438 274 438 284 439 274 439 282 439 107 440 289 440 281 440 290 441 281 441 289 441 106 442 281 442 102 442 291 443 102 443 281 443 106 444 107 444 281 444 123 445 124 445 281 445 215 446 281 446 124 446 215 447 291 447 281 447 282 448 281 448 290 448 110 449 292 449 289 449 293 450 289 450 292 450 107 451 110 451 289 451 290 452 289 452 293 452 99 453 294 453 292 453 295 454 292 454 294 454 97 455 99 455 292 455 110 456 97 456 292 456 293 457 292 457 295 457 92 458 296 458 294 458 297 459 294 459 296 459 100 460 92 460 294 460 99 461 100 461 294 461 295 462 294 462 297 462 85 463 258 463 296 463 298 464 296 464 258 464 84 465 85 465 296 465 83 466 84 466 296 466 227 467 83 467 296 467 227 468 296 468 92 468 297 469 296 469 298 469 170 470 299 470 258 470 300 471 258 471 299 471 301 472 258 472 85 472 168 473 170 473 258 473 167 474 168 474 258 474 241 475 167 475 258 475 302 476 241 476 258 476 303 477 302 477 258 477 255 478 303 478 258 478 301 479 259 479 258 479 298 480 258 480 300 480 154 481 304 481 299 481 305 482 299 482 304 482 153 483 299 483 149 483 306 484 149 484 299 484 153 485 154 485 299 485 170 486 171 486 299 486 240 487 299 487 171 487 240 488 306 488 299 488 305 489 300 489 299 489 157 490 307 490 304 490 308 491 304 491 307 491 154 492 157 492 304 492 305 493 304 493 308 493 146 494 309 494 307 494 310 495 307 495 309 495 144 496 146 496 307 496 157 497 144 497 307 497 308 498 307 498 310 498 139 499 283 499 309 499 311 500 309 500 283 500 147 501 139 501 309 501 146 502 147 502 309 502 310 503 309 503 311 503 131 504 132 504 283 504 130 505 131 505 283 505 202 506 130 506 283 506 202 507 283 507 139 507 311 508 283 508 284 508 312 509 82 509 81 509 227 510 81 510 83 510 227 511 312 511 81 511 312 512 86 512 82 512 312 513 85 513 86 513 312 514 301 514 85 514 227 515 92 515 90 515 228 516 90 516 95 516 227 517 90 517 228 517 313 518 95 518 97 518 110 519 112 519 97 519 314 520 97 520 112 520 314 521 313 521 97 521 313 522 228 522 95 522 291 523 104 523 102 523 291 524 112 524 104 524 291 525 314 525 112 525 215 526 119 526 117 526 285 527 117 527 120 527 285 528 215 528 117 528 215 529 124 529 119 529 315 530 129 530 128 530 202 531 128 531 130 531 202 532 315 532 128 532 315 533 133 533 129 533 315 534 132 534 133 534 315 535 286 535 132 535 202 536 139 536 137 536 203 537 137 537 142 537 202 538 137 538 203 538 316 539 142 539 144 539 157 540 159 540 144 540 317 541 144 541 159 541 317 542 316 542 144 542 316 543 203 543 142 543 306 544 151 544 149 544 306 545 159 545 151 545 306 546 317 546 159 546 240 547 166 547 164 547 241 548 164 548 167 548 240 549 164 549 241 549 240 550 171 550 166 550 318 551 203 551 316 551 319 552 200 552 203 552 318 553 319 553 203 553 320 554 321 554 316 554 322 555 316 555 321 555 317 556 320 556 316 556 323 557 318 557 316 557 250 558 316 558 322 558 323 559 316 559 250 559 324 560 325 560 321 560 326 561 321 561 325 561 320 562 324 562 321 562 326 563 327 563 321 563 322 564 321 564 327 564 328 565 329 565 325 565 326 566 325 566 329 566 324 567 328 567 325 567 330 568 331 568 329 568 332 569 329 569 331 569 328 570 330 570 329 570 332 571 326 571 329 571 333 572 277 572 331 572 334 573 331 573 277 573 330 574 333 574 331 574 332 575 331 575 334 575 335 576 277 576 270 576 333 577 279 577 277 577 335 578 334 578 277 578 336 579 270 579 275 579 335 580 270 580 336 580 337 581 275 581 276 581 337 582 336 582 275 582 338 583 276 583 273 583 339 584 276 584 338 584 337 585 276 585 339 585 338 586 273 586 286 586 205 587 286 587 315 587 340 588 338 588 286 588 340 589 286 589 205 589 341 590 315 590 202 590 342 591 315 591 341 591 342 592 205 592 315 592 343 593 202 593 204 593 343 594 341 594 202 594 344 595 241 595 302 595 345 596 239 596 241 596 344 597 345 597 241 597 346 598 302 598 303 598 347 599 344 599 302 599 238 600 302 600 346 600 347 601 302 601 238 601 348 602 303 602 255 602 348 603 349 603 303 603 346 604 303 604 349 604 348 605 255 605 280 605 350 606 280 606 279 606 350 607 348 607 280 607 351 608 279 608 333 608 350 609 279 609 351 609 352 610 333 610 330 610 352 611 351 611 333 611 353 612 330 612 328 612 352 613 330 613 353 613 354 614 328 614 324 614 354 615 353 615 328 615 355 616 324 616 320 616 356 617 324 617 355 617 354 618 324 618 356 618 355 619 320 619 317 619 243 620 317 620 306 620 357 621 355 621 317 621 357 622 317 622 243 622 358 623 306 623 240 623 359 624 306 624 358 624 359 625 243 625 306 625 360 626 240 626 242 626 360 627 358 627 240 627 361 628 228 628 313 628 362 629 226 629 228 629 361 630 362 630 228 630 363 631 364 631 313 631 365 632 313 632 364 632 314 633 363 633 313 633 366 634 361 634 313 634 225 635 313 635 365 635 366 636 313 636 225 636 367 637 368 637 364 637 369 638 364 638 368 638 367 639 364 639 363 639 369 640 370 640 364 640 365 641 364 641 370 641 371 642 372 642 368 642 369 643 368 643 372 643 367 644 371 644 368 644 373 645 374 645 372 645 375 646 372 646 374 646 371 647 373 647 372 647 375 648 369 648 372 648 376 649 262 649 374 649 377 650 374 650 262 650 373 651 376 651 374 651 375 652 374 652 377 652 378 653 262 653 251 653 376 654 268 654 262 654 378 655 377 655 262 655 379 656 251 656 260 656 378 657 251 657 379 657 380 658 260 658 261 658 380 659 379 659 260 659 381 660 261 660 259 660 382 661 261 661 381 661 380 662 261 662 382 662 381 663 259 663 301 663 230 664 301 664 312 664 383 665 381 665 301 665 383 666 301 666 230 666 384 667 312 667 227 667 385 668 312 668 384 668 385 669 230 669 312 669 386 670 227 670 229 670 386 671 384 671 227 671 387 672 363 672 314 672 387 673 367 673 363 673 217 674 314 674 291 674 388 675 387 675 314 675 388 676 314 676 217 676 389 677 291 677 215 677 390 678 291 678 389 678 390 679 217 679 291 679 214 680 215 680 285 680 391 681 389 681 215 681 216 682 391 682 215 682 392 683 285 683 287 683 393 684 214 684 285 684 392 685 393 685 285 685 394 686 287 686 288 686 395 687 392 687 287 687 213 688 287 688 394 688 395 689 287 689 213 689 396 690 288 690 265 690 396 691 397 691 288 691 394 692 288 692 397 692 396 693 265 693 269 693 398 694 269 694 268 694 398 695 396 695 269 695 399 696 268 696 376 696 398 697 268 697 399 697 400 698 376 698 373 698 400 699 399 699 376 699 401 700 373 700 371 700 400 701 373 701 401 701 402 702 371 702 367 702 402 703 401 703 371 703 403 704 367 704 387 704 402 705 367 705 403 705 300 706 3 706 15 706 305 707 6 707 3 707 305 708 3 708 300 708 297 709 15 709 24 709 298 710 300 710 15 710 297 711 298 711 15 711 295 712 24 712 26 712 295 713 297 713 24 713 295 714 26 714 29 714 293 715 29 715 37 715 293 716 295 716 29 716 290 717 37 717 45 717 290 718 293 718 37 718 282 719 45 719 54 719 282 720 290 720 45 720 311 721 54 721 63 721 284 722 282 722 54 722 311 723 284 723 54 723 310 724 63 724 65 724 310 725 311 725 63 725 310 726 65 726 67 726 308 727 67 727 6 727 308 728 310 728 67 728 305 729 308 729 6 729 378 730 352 730 353 730 254 731 378 731 353 731 257 732 353 732 354 732 257 733 254 733 353 733 404 734 351 734 352 734 405 735 350 735 351 735 406 736 405 736 351 736 404 737 406 737 351 737 378 738 379 738 352 738 404 739 352 739 379 739 407 740 379 740 380 740 407 741 404 741 379 741 254 742 377 742 378 742 264 743 375 743 377 743 264 744 377 744 254 744 335 745 400 745 401 745 272 746 335 746 401 746 267 747 401 747 402 747 267 748 272 748 401 748 336 749 399 749 400 749 337 750 399 750 336 750 398 751 399 751 337 751 335 752 336 752 400 752 272 753 334 753 335 753 278 754 332 754 334 754 272 755 278 755 334 755 209 756 210 756 207 756 212 757 207 757 210 757 212 758 208 758 207 758 206 759 343 759 204 759 201 760 200 760 319 760 201 761 319 761 318 761 201 762 318 762 323 762 206 763 341 763 343 763 206 764 342 764 341 764 322 765 247 765 248 765 249 766 322 766 248 766 357 767 245 767 247 767 243 768 246 768 245 768 357 769 243 769 245 769 356 770 355 770 247 770 357 771 247 771 355 771 257 772 356 772 247 772 257 773 247 773 327 773 322 774 327 774 247 774 244 775 360 775 242 775 236 776 239 776 345 776 236 777 345 777 344 777 236 778 344 778 347 778 244 779 358 779 360 779 244 780 359 780 358 780 234 781 235 781 232 781 237 782 232 782 235 782 233 783 232 783 237 783 231 784 386 784 229 784 223 785 226 785 362 785 223 786 362 786 361 786 223 787 361 787 366 787 231 788 384 788 386 788 231 789 385 789 384 789 365 790 221 790 222 790 224 791 365 791 222 791 388 792 219 792 221 792 217 793 220 793 219 793 388 794 217 794 219 794 403 795 387 795 221 795 388 796 221 796 387 796 267 797 403 797 221 797 267 798 221 798 370 798 365 799 370 799 221 799 211 800 214 800 393 800 211 801 393 801 392 801 211 802 392 802 395 802 218 803 389 803 391 803 218 804 390 804 389 804 218 805 391 805 216 805 267 806 402 806 403 806 267 807 370 807 369 807 267 808 369 808 375 808 396 809 339 809 338 809 396 810 338 810 397 810 340 811 397 811 338 811 398 812 339 812 396 812 398 813 337 813 339 813 394 814 397 814 340 814 257 815 354 815 356 815 257 816 327 816 326 816 257 817 326 817 332 817 348 818 382 818 381 818 348 819 381 819 349 819 383 820 349 820 381 820 350 821 382 821 348 821 408 822 380 822 382 822 409 823 382 823 350 823 409 824 408 824 382 824 383 825 346 825 349 825 264 826 267 826 375 826 408 827 410 827 380 827 407 828 380 828 410 828 411 829 409 829 350 829 405 830 411 830 350 830 278 831 257 831 332 831 178 832 173 832 172 832 177 833 178 833 172 833 174 834 177 834 172 834 174 835 175 835 177 835 185 836 180 836 179 836 184 837 185 837 179 837 181 838 184 838 179 838 181 839 182 839 184 839 192 840 187 840 186 840 191 841 192 841 186 841 188 842 191 842 186 842 188 843 189 843 191 843 199 844 194 844 193 844 198 845 199 845 193 845 195 846 198 846 193 846 195 847 196 847 198 847 412 848 410 848 408 848 413 849 407 849 410 849 413 850 410 850 412 850 414 851 408 851 409 851 414 852 412 852 408 852 415 853 409 853 411 853 414 854 409 854 415 854 416 855 411 855 405 855 415 856 411 856 416 856 417 857 405 857 406 857 416 858 405 858 417 858 418 859 406 859 404 859 417 860 406 860 418 860 419 861 404 861 407 861 418 862 404 862 419 862 419 863 407 863 413 863 213 864 205 864 208 864 212 865 213 865 208 865 394 866 340 866 205 866 213 867 394 867 205 867 206 868 205 868 342 868 249 869 250 869 322 869 201 870 323 870 250 870 244 871 243 871 359 871 230 872 238 872 346 872 383 873 230 873 346 873 233 874 237 874 238 874 230 875 233 875 238 875 236 876 347 876 238 876 231 877 230 877 385 877 224 878 225 878 365 878 223 879 366 879 225 879 218 880 217 880 390 880 211 881 395 881 213 881 418 882 413 882 412 882 417 883 418 883 412 883 414 884 417 884 412 884 418 885 419 885 413 885 414 886 416 886 417 886 414 887 415 887 416 887 420 888 421 888 422 888 423 889 422 889 421 889 424 890 422 890 425 890 426 891 425 891 422 891 420 892 422 892 424 892 423 893 426 893 422 893 427 894 428 894 421 894 429 895 421 895 428 895 420 896 427 896 421 896 423 897 421 897 430 897 429 898 430 898 421 898 431 899 432 899 428 899 429 900 428 900 432 900 433 901 428 901 427 901 434 902 431 902 428 902 435 903 434 903 428 903 433 904 435 904 428 904 436 905 437 905 432 905 438 906 432 906 437 906 439 907 436 907 432 907 440 908 439 908 432 908 431 909 440 909 432 909 429 910 432 910 438 910 441 911 437 911 436 911 438 912 437 912 441 912 442 913 443 913 436 913 444 914 436 914 443 914 439 915 442 915 436 915 441 916 436 916 444 916 445 917 446 917 443 917 447 918 443 918 446 918 442 919 448 919 443 919 449 920 443 920 448 920 449 921 445 921 443 921 444 922 443 922 447 922 450 923 451 923 446 923 447 924 446 924 451 924 452 925 450 925 446 925 445 926 453 926 446 926 454 927 446 927 453 927 454 928 452 928 446 928 455 929 456 929 451 929 457 930 451 930 456 930 450 931 455 931 451 931 447 932 451 932 457 932 458 933 459 933 456 933 460 934 456 934 459 934 455 935 458 935 456 935 457 936 456 936 460 936 461 937 462 937 459 937 463 938 459 938 462 938 458 939 461 939 459 939 464 940 459 940 463 940 460 941 459 941 464 941 465 942 466 942 462 942 463 943 462 943 466 943 467 944 462 944 461 944 468 945 469 945 462 945 465 946 462 946 469 946 467 947 468 947 462 947 470 948 471 948 466 948 472 949 466 949 471 949 473 950 470 950 466 950 474 951 473 951 466 951 465 952 474 952 466 952 463 953 466 953 472 953 475 954 471 954 470 954 472 955 471 955 475 955 476 956 477 956 470 956 478 957 470 957 477 957 473 958 476 958 470 958 475 959 470 959 478 959 479 960 480 960 477 960 481 961 477 961 480 961 476 962 482 962 477 962 483 963 477 963 482 963 483 964 479 964 477 964 478 965 477 965 481 965 484 966 425 966 480 966 481 967 480 967 425 967 485 968 484 968 480 968 486 969 485 969 480 969 487 970 486 970 480 970 479 971 487 971 480 971 484 972 424 972 425 972 481 973 425 973 426 973 488 974 424 974 484 974 489 975 420 975 424 975 489 976 424 976 488 976 490 977 482 977 484 977 491 978 484 978 482 978 485 979 490 979 484 979 491 980 488 980 484 980 492 981 482 981 476 981 490 982 493 982 482 982 494 983 482 983 493 983 494 984 483 984 482 984 492 985 491 985 482 985 495 986 476 986 473 986 495 987 492 987 476 987 496 988 461 988 473 988 497 989 473 989 461 989 474 990 496 990 473 990 497 991 495 991 473 991 498 992 461 992 458 992 499 993 467 993 461 993 500 994 499 994 461 994 496 995 500 995 461 995 498 996 497 996 461 996 501 997 458 997 455 997 501 998 498 998 458 998 502 999 455 999 450 999 502 1000 501 1000 455 1000 503 1001 448 1001 450 1001 504 1002 450 1002 448 1002 452 1003 503 1003 450 1003 504 1004 502 1004 450 1004 505 1005 448 1005 442 1005 506 1006 449 1006 448 1006 507 1007 506 1007 448 1007 503 1008 507 1008 448 1008 504 1009 448 1009 505 1009 508 1010 442 1010 439 1010 505 1011 442 1011 508 1011 509 1012 427 1012 439 1012 510 1013 439 1013 427 1013 440 1014 509 1014 439 1014 508 1015 439 1015 510 1015 511 1016 427 1016 420 1016 509 1017 512 1017 427 1017 513 1018 427 1018 512 1018 513 1019 433 1019 427 1019 510 1020 427 1020 511 1020 511 1021 420 1021 489 1021 514 1022 512 1022 509 1022 515 1023 513 1023 512 1023 515 1024 512 1024 514 1024 516 1025 509 1025 440 1025 516 1026 514 1026 509 1026 517 1027 440 1027 431 1027 516 1028 440 1028 517 1028 518 1029 431 1029 434 1029 517 1030 431 1030 518 1030 519 1031 434 1031 435 1031 518 1032 434 1032 519 1032 520 1033 435 1033 433 1033 519 1034 435 1034 520 1034 521 1035 433 1035 513 1035 520 1036 433 1036 521 1036 521 1037 513 1037 515 1037 522 1038 453 1038 445 1038 523 1039 454 1039 453 1039 523 1040 453 1040 522 1040 524 1041 445 1041 449 1041 524 1042 522 1042 445 1042 525 1043 449 1043 506 1043 524 1044 449 1044 525 1044 526 1045 506 1045 507 1045 525 1046 506 1046 526 1046 527 1047 507 1047 503 1047 526 1048 507 1048 527 1048 528 1049 503 1049 452 1049 527 1050 503 1050 528 1050 529 1051 452 1051 454 1051 528 1052 452 1052 529 1052 529 1053 454 1053 523 1053 530 1054 469 1054 468 1054 531 1055 465 1055 469 1055 531 1056 469 1056 530 1056 532 1057 468 1057 467 1057 532 1058 530 1058 468 1058 533 1059 467 1059 499 1059 532 1060 467 1060 533 1060 534 1061 499 1061 500 1061 533 1062 499 1062 534 1062 535 1063 500 1063 496 1063 534 1064 500 1064 535 1064 536 1065 496 1065 474 1065 535 1066 496 1066 536 1066 537 1067 474 1067 465 1067 536 1068 474 1068 537 1068 537 1069 465 1069 531 1069 538 1070 493 1070 490 1070 539 1071 494 1071 493 1071 539 1072 493 1072 538 1072 540 1073 490 1073 485 1073 540 1074 538 1074 490 1074 541 1075 485 1075 486 1075 540 1076 485 1076 541 1076 542 1077 486 1077 487 1077 541 1078 486 1078 542 1078 543 1079 487 1079 479 1079 542 1080 487 1080 543 1080 544 1081 479 1081 483 1081 543 1082 479 1082 544 1082 545 1083 483 1083 494 1083 544 1084 483 1084 545 1084 545 1085 494 1085 539 1085 546 1086 488 1086 491 1086 547 1087 489 1087 488 1087 547 1088 488 1088 546 1088 548 1089 491 1089 492 1089 549 1090 546 1090 491 1090 548 1091 549 1091 491 1091 550 1092 492 1092 495 1092 550 1093 548 1093 492 1093 551 1094 495 1094 497 1094 551 1095 550 1095 495 1095 551 1096 497 1096 498 1096 552 1097 498 1097 501 1097 552 1098 551 1098 498 1098 553 1099 501 1099 502 1099 553 1100 552 1100 501 1100 554 1101 502 1101 504 1101 554 1102 553 1102 502 1102 555 1103 511 1103 489 1103 547 1104 555 1104 489 1104 556 1105 510 1105 511 1105 555 1106 556 1106 511 1106 556 1107 508 1107 510 1107 557 1108 505 1108 508 1108 556 1109 557 1109 508 1109 558 1110 504 1110 505 1110 557 1111 558 1111 505 1111 559 1112 554 1112 504 1112 558 1113 559 1113 504 1113 560 1114 546 1114 549 1114 561 1115 547 1115 546 1115 561 1116 546 1116 560 1116 562 1117 549 1117 548 1117 562 1118 560 1118 549 1118 563 1119 548 1119 550 1119 563 1120 562 1120 548 1120 564 1121 550 1121 551 1121 564 1122 563 1122 550 1122 565 1123 551 1123 552 1123 565 1124 564 1124 551 1124 566 1125 552 1125 553 1125 566 1126 565 1126 552 1126 567 1127 553 1127 554 1127 567 1128 566 1128 553 1128 568 1129 554 1129 559 1129 568 1130 567 1130 554 1130 569 1131 559 1131 558 1131 569 1132 568 1132 559 1132 570 1133 558 1133 557 1133 569 1134 558 1134 570 1134 571 1135 557 1135 556 1135 570 1136 557 1136 571 1136 572 1137 556 1137 555 1137 571 1138 556 1138 572 1138 573 1139 555 1139 547 1139 572 1140 555 1140 573 1140 573 1141 547 1141 561 1141 574 1142 560 1142 562 1142 575 1143 561 1143 560 1143 575 1144 560 1144 574 1144 576 1145 562 1145 563 1145 576 1146 574 1146 562 1146 577 1147 563 1147 564 1147 578 1148 576 1148 563 1148 577 1149 578 1149 563 1149 566 1150 564 1150 565 1150 577 1151 564 1151 566 1151 579 1152 566 1152 567 1152 579 1153 577 1153 566 1153 580 1154 567 1154 568 1154 580 1155 579 1155 567 1155 581 1156 568 1156 569 1156 581 1157 580 1157 568 1157 582 1158 573 1158 561 1158 575 1159 582 1159 561 1159 571 1160 572 1160 573 1160 583 1161 571 1161 573 1161 582 1162 583 1162 573 1162 583 1163 570 1163 571 1163 584 1164 569 1164 570 1164 585 1165 584 1165 570 1165 583 1166 585 1166 570 1166 584 1167 581 1167 569 1167 586 1168 574 1168 576 1168 587 1169 575 1169 574 1169 587 1170 574 1170 586 1170 588 1171 576 1171 578 1171 589 1172 586 1172 576 1172 588 1173 589 1173 576 1173 590 1174 578 1174 577 1174 590 1175 588 1175 578 1175 591 1176 577 1176 579 1176 591 1177 590 1177 577 1177 592 1178 579 1178 580 1178 592 1179 591 1179 579 1179 593 1180 580 1180 581 1180 593 1181 592 1181 580 1181 594 1182 581 1182 584 1182 594 1183 593 1183 581 1183 595 1184 584 1184 585 1184 594 1185 584 1185 596 1185 595 1186 596 1186 584 1186 597 1187 585 1187 583 1187 597 1188 595 1188 585 1188 598 1189 583 1189 582 1189 598 1190 597 1190 583 1190 599 1191 582 1191 575 1191 599 1192 598 1192 582 1192 587 1193 599 1193 575 1193 587 1194 586 1194 589 1194 600 1195 589 1195 588 1195 601 1196 589 1196 600 1196 601 1197 587 1197 589 1197 602 1198 588 1198 590 1198 602 1199 600 1199 588 1199 603 1200 590 1200 591 1200 603 1201 602 1201 590 1201 604 1202 591 1202 592 1202 604 1203 603 1203 591 1203 605 1204 592 1204 593 1204 605 1205 604 1205 592 1205 594 1206 596 1206 593 1206 606 1207 593 1207 596 1207 606 1208 605 1208 593 1208 607 1209 606 1209 596 1209 595 1210 607 1210 596 1210 608 1211 600 1211 602 1211 609 1212 600 1212 608 1212 601 1213 600 1213 609 1213 610 1214 602 1214 603 1214 611 1215 608 1215 602 1215 610 1216 611 1216 602 1216 612 1217 603 1217 604 1217 612 1218 610 1218 603 1218 613 1219 604 1219 605 1219 613 1220 612 1220 604 1220 614 1221 605 1221 606 1221 614 1222 613 1222 605 1222 615 1223 606 1223 607 1223 615 1224 614 1224 606 1224 616 1225 615 1225 607 1225 617 1226 616 1226 607 1226 617 1227 607 1227 595 1227 609 1228 608 1228 611 1228 618 1229 611 1229 610 1229 619 1230 609 1230 611 1230 619 1231 611 1231 618 1231 620 1232 610 1232 612 1232 620 1233 618 1233 610 1233 621 1234 612 1234 613 1234 621 1235 620 1235 612 1235 622 1236 613 1236 614 1236 623 1237 621 1237 613 1237 622 1238 623 1238 613 1238 622 1239 614 1239 615 1239 616 1240 624 1240 615 1240 625 1241 615 1241 624 1241 625 1242 622 1242 615 1242 617 1243 624 1243 616 1243 626 1244 624 1244 627 1244 617 1245 627 1245 624 1245 626 1246 625 1246 624 1246 628 1247 629 1247 609 1247 601 1248 609 1248 629 1248 619 1249 628 1249 609 1249 628 1250 630 1250 629 1250 631 1251 629 1251 630 1251 601 1252 629 1252 631 1252 632 1253 633 1253 630 1253 634 1254 630 1254 633 1254 635 1255 632 1255 630 1255 628 1256 635 1256 630 1256 631 1257 630 1257 634 1257 636 1258 627 1258 633 1258 637 1259 633 1259 627 1259 632 1260 636 1260 633 1260 634 1261 633 1261 637 1261 636 1262 626 1262 627 1262 637 1263 627 1263 617 1263 638 1264 618 1264 620 1264 639 1265 619 1265 618 1265 639 1266 618 1266 638 1266 640 1267 620 1267 621 1267 640 1268 638 1268 620 1268 623 1269 641 1269 621 1269 642 1270 621 1270 641 1270 642 1271 640 1271 621 1271 643 1272 641 1272 623 1272 643 1273 642 1273 641 1273 644 1274 623 1274 622 1274 644 1275 643 1275 623 1275 645 1276 622 1276 625 1276 645 1277 644 1277 622 1277 646 1278 625 1278 626 1278 646 1279 645 1279 625 1279 647 1280 626 1280 636 1280 647 1281 646 1281 626 1281 648 1282 636 1282 632 1282 648 1283 647 1283 636 1283 635 1284 649 1284 632 1284 650 1285 632 1285 649 1285 648 1286 632 1286 650 1286 651 1287 649 1287 635 1287 650 1288 649 1288 651 1288 652 1289 635 1289 628 1289 651 1290 635 1290 652 1290 653 1291 628 1291 619 1291 652 1292 628 1292 653 1292 653 1293 619 1293 639 1293 654 1294 638 1294 640 1294 655 1295 639 1295 638 1295 655 1296 638 1296 654 1296 656 1297 640 1297 642 1297 656 1298 654 1298 640 1298 657 1299 642 1299 643 1299 657 1300 656 1300 642 1300 658 1301 643 1301 644 1301 659 1302 657 1302 643 1302 658 1303 659 1303 643 1303 660 1304 644 1304 645 1304 660 1305 658 1305 644 1305 661 1306 645 1306 646 1306 661 1307 660 1307 645 1307 661 1308 646 1308 647 1308 662 1309 647 1309 648 1309 662 1310 661 1310 647 1310 655 1311 653 1311 639 1311 663 1312 652 1312 653 1312 655 1313 663 1313 653 1313 664 1314 651 1314 652 1314 663 1315 664 1315 652 1315 665 1316 650 1316 651 1316 666 1317 665 1317 651 1317 664 1318 666 1318 651 1318 667 1319 648 1319 650 1319 665 1320 667 1320 650 1320 667 1321 662 1321 648 1321 668 1322 654 1322 656 1322 669 1323 655 1323 654 1323 669 1324 654 1324 668 1324 670 1325 656 1325 657 1325 670 1326 668 1326 656 1326 671 1327 657 1327 659 1327 671 1328 670 1328 657 1328 672 1329 659 1329 658 1329 672 1330 671 1330 659 1330 673 1331 658 1331 660 1331 673 1332 672 1332 658 1332 674 1333 660 1333 661 1333 674 1334 673 1334 660 1334 675 1335 661 1335 662 1335 675 1336 674 1336 661 1336 676 1337 662 1337 667 1337 676 1338 675 1338 662 1338 677 1339 667 1339 665 1339 677 1340 676 1340 667 1340 678 1341 665 1341 666 1341 677 1342 665 1342 678 1342 679 1343 666 1343 664 1343 678 1344 666 1344 679 1344 680 1345 664 1345 663 1345 679 1346 664 1346 680 1346 681 1347 663 1347 655 1347 680 1348 663 1348 681 1348 681 1349 655 1349 669 1349 682 1350 668 1350 670 1350 683 1351 669 1351 668 1351 683 1352 668 1352 682 1352 684 1353 670 1353 671 1353 684 1354 682 1354 670 1354 685 1355 671 1355 672 1355 686 1356 684 1356 671 1356 687 1357 686 1357 671 1357 685 1358 688 1358 671 1358 689 1359 671 1359 688 1359 689 1360 687 1360 671 1360 690 1361 672 1361 673 1361 690 1362 691 1362 672 1362 692 1363 672 1363 691 1363 692 1364 685 1364 672 1364 693 1365 673 1365 674 1365 693 1366 690 1366 673 1366 694 1367 674 1367 675 1367 695 1368 693 1368 674 1368 696 1369 695 1369 674 1369 697 1370 696 1370 674 1370 694 1371 697 1371 674 1371 698 1372 675 1372 676 1372 698 1373 699 1373 675 1373 700 1374 675 1374 699 1374 700 1375 694 1375 675 1375 701 1376 676 1376 677 1376 701 1377 698 1377 676 1377 702 1378 681 1378 669 1378 683 1379 703 1379 669 1379 704 1380 669 1380 703 1380 704 1381 702 1381 669 1381 705 1382 680 1382 681 1382 706 1383 705 1383 681 1383 702 1384 707 1384 681 1384 708 1385 681 1385 707 1385 708 1386 706 1386 681 1386 709 1387 679 1387 680 1387 705 1388 709 1388 680 1388 710 1389 678 1389 679 1389 709 1390 711 1390 679 1390 712 1391 679 1391 711 1391 712 1392 710 1392 679 1392 713 1393 677 1393 678 1393 714 1394 713 1394 678 1394 715 1395 714 1395 678 1395 716 1396 715 1396 678 1396 717 1397 716 1397 678 1397 710 1398 717 1398 678 1398 713 1399 701 1399 677 1399 718 1400 682 1400 684 1400 719 1401 683 1401 682 1401 719 1402 682 1402 718 1402 720 1403 684 1403 686 1403 721 1404 718 1404 684 1404 720 1405 721 1405 684 1405 722 1406 691 1406 686 1406 720 1407 686 1407 691 1407 723 1408 722 1408 686 1408 724 1409 723 1409 686 1409 687 1410 724 1410 686 1410 690 1411 725 1411 691 1411 726 1412 691 1412 725 1412 722 1413 692 1413 691 1413 726 1414 720 1414 691 1414 727 1415 725 1415 690 1415 727 1416 726 1416 725 1416 728 1417 690 1417 693 1417 728 1418 727 1418 690 1418 729 1419 699 1419 693 1419 730 1420 693 1420 699 1420 695 1421 729 1421 693 1421 730 1422 728 1422 693 1422 730 1423 699 1423 698 1423 729 1424 731 1424 699 1424 732 1425 699 1425 731 1425 732 1426 700 1426 699 1426 733 1427 698 1427 701 1427 733 1428 730 1428 698 1428 734 1429 701 1429 713 1429 734 1430 733 1430 701 1430 735 1431 713 1431 714 1431 734 1432 713 1432 736 1432 735 1433 736 1433 713 1433 737 1434 711 1434 714 1434 735 1435 714 1435 711 1435 738 1436 739 1436 714 1436 737 1437 714 1437 739 1437 715 1438 738 1438 714 1438 709 1439 740 1439 711 1439 741 1440 711 1440 740 1440 737 1441 712 1441 711 1441 741 1442 735 1442 711 1442 742 1443 740 1443 709 1443 742 1444 741 1444 740 1444 743 1445 709 1445 705 1445 743 1446 742 1446 709 1446 744 1447 703 1447 705 1447 745 1448 705 1448 703 1448 706 1449 744 1449 705 1449 745 1450 743 1450 705 1450 745 1451 703 1451 683 1451 746 1452 704 1452 703 1452 747 1453 746 1453 703 1453 744 1454 747 1454 703 1454 719 1455 745 1455 683 1455 748 1456 707 1456 702 1456 749 1457 708 1457 707 1457 749 1458 707 1458 748 1458 750 1459 702 1459 704 1459 750 1460 748 1460 702 1460 751 1461 704 1461 746 1461 750 1462 704 1462 751 1462 752 1463 746 1463 747 1463 751 1464 746 1464 752 1464 753 1465 747 1465 744 1465 752 1466 747 1466 753 1466 754 1467 744 1467 706 1467 753 1468 744 1468 754 1468 755 1469 706 1469 708 1469 754 1470 706 1470 755 1470 755 1471 708 1471 749 1471 756 1472 739 1472 738 1472 757 1473 737 1473 739 1473 757 1474 739 1474 756 1474 758 1475 738 1475 715 1475 758 1476 756 1476 738 1476 759 1477 715 1477 716 1477 758 1478 715 1478 759 1478 760 1479 716 1479 717 1479 759 1480 716 1480 760 1480 761 1481 717 1481 710 1481 760 1482 717 1482 761 1482 762 1483 710 1483 712 1483 761 1484 710 1484 762 1484 763 1485 712 1485 737 1485 762 1486 712 1486 763 1486 763 1487 737 1487 757 1487 764 1488 731 1488 729 1488 765 1489 732 1489 731 1489 765 1490 731 1490 764 1490 766 1491 729 1491 695 1491 766 1492 764 1492 729 1492 767 1493 695 1493 696 1493 766 1494 695 1494 767 1494 768 1495 696 1495 697 1495 767 1496 696 1496 768 1496 769 1497 697 1497 694 1497 768 1498 697 1498 769 1498 770 1499 694 1499 700 1499 769 1500 694 1500 770 1500 771 1501 700 1501 732 1501 770 1502 700 1502 771 1502 771 1503 732 1503 765 1503 772 1504 688 1504 685 1504 773 1505 689 1505 688 1505 773 1506 688 1506 772 1506 774 1507 685 1507 692 1507 774 1508 772 1508 685 1508 775 1509 692 1509 722 1509 774 1510 692 1510 775 1510 776 1511 722 1511 723 1511 775 1512 722 1512 776 1512 777 1513 723 1513 724 1513 776 1514 723 1514 777 1514 778 1515 724 1515 687 1515 777 1516 724 1516 778 1516 779 1517 687 1517 689 1517 778 1518 687 1518 779 1518 779 1519 689 1519 773 1519 719 1520 718 1520 721 1520 780 1521 721 1521 720 1521 781 1522 721 1522 780 1522 781 1523 719 1523 721 1523 782 1524 720 1524 726 1524 782 1525 780 1525 720 1525 783 1526 726 1526 727 1526 783 1527 782 1527 726 1527 784 1528 727 1528 728 1528 784 1529 783 1529 727 1529 785 1530 728 1530 730 1530 785 1531 784 1531 728 1531 786 1532 730 1532 733 1532 786 1533 785 1533 730 1533 734 1534 736 1534 733 1534 787 1535 733 1535 736 1535 787 1536 786 1536 733 1536 788 1537 787 1537 736 1537 735 1538 788 1538 736 1538 789 1539 780 1539 782 1539 790 1540 780 1540 789 1540 791 1541 781 1541 780 1541 790 1542 792 1542 780 1542 791 1543 780 1543 792 1543 793 1544 782 1544 783 1544 794 1545 789 1545 782 1545 795 1546 794 1546 782 1546 796 1547 795 1547 782 1547 797 1548 796 1548 782 1548 798 1549 797 1549 782 1549 793 1550 798 1550 782 1550 799 1551 783 1551 784 1551 799 1552 793 1552 783 1552 800 1553 784 1553 785 1553 801 1554 799 1554 784 1554 784 1555 800 1555 802 1555 803 1556 785 1556 786 1556 804 1557 800 1557 785 1557 805 1558 804 1558 785 1558 806 1559 805 1559 785 1559 807 1560 806 1560 785 1560 803 1561 807 1561 785 1561 808 1562 786 1562 787 1562 808 1563 803 1563 786 1563 809 1564 787 1564 788 1564 809 1565 808 1565 787 1565 810 1566 809 1566 788 1566 811 1567 810 1567 788 1567 812 1568 811 1568 788 1568 813 1569 812 1569 788 1569 813 1570 788 1570 735 1570 814 1571 789 1571 794 1571 814 1572 790 1572 789 1572 814 1573 794 1573 795 1573 815 1574 795 1574 796 1574 816 1575 795 1575 815 1575 814 1576 795 1576 816 1576 815 1577 796 1577 797 1577 798 1578 817 1578 818 1578 818 1579 797 1579 798 1579 815 1580 797 1580 818 1580 819 1581 798 1581 793 1581 820 1582 817 1582 798 1582 819 1583 820 1583 798 1583 821 1584 793 1584 799 1584 821 1585 819 1585 793 1585 822 1586 799 1586 801 1586 822 1587 821 1587 799 1587 802 1588 801 1588 784 1588 823 1589 801 1589 802 1589 824 1590 822 1590 801 1590 823 1591 824 1591 801 1591 823 1592 802 1592 800 1592 823 1593 800 1593 804 1593 823 1594 804 1594 805 1594 825 1595 805 1595 806 1595 826 1596 805 1596 825 1596 823 1597 805 1597 826 1597 825 1598 806 1598 807 1598 827 1599 807 1599 803 1599 827 1600 828 1600 829 1600 829 1601 807 1601 827 1601 825 1602 807 1602 829 1602 830 1603 803 1603 808 1603 830 1604 827 1604 803 1604 831 1605 808 1605 809 1605 831 1606 830 1606 808 1606 809 1607 810 1607 832 1607 831 1608 809 1608 833 1608 832 1609 833 1609 809 1609 834 1610 833 1610 832 1610 835 1611 831 1611 833 1611 834 1612 835 1612 833 1612 834 1613 832 1613 810 1613 834 1614 810 1614 811 1614 834 1615 811 1615 812 1615 836 1616 812 1616 813 1616 834 1617 812 1617 836 1617 820 1618 837 1618 817 1618 815 1619 817 1619 837 1619 815 1620 818 1620 817 1620 820 1621 838 1621 837 1621 815 1622 837 1622 838 1622 839 1623 838 1623 820 1623 840 1624 838 1624 839 1624 815 1625 838 1625 840 1625 430 1626 820 1626 819 1626 429 1627 820 1627 430 1627 429 1628 839 1628 820 1628 426 1629 819 1629 821 1629 426 1630 430 1630 819 1630 481 1631 821 1631 822 1631 481 1632 426 1632 821 1632 828 1633 827 1633 822 1633 478 1634 822 1634 827 1634 841 1635 828 1635 822 1635 842 1636 841 1636 822 1636 824 1637 842 1637 822 1637 478 1638 481 1638 822 1638 475 1639 827 1639 830 1639 475 1640 478 1640 827 1640 472 1641 830 1641 831 1641 472 1642 475 1642 830 1642 843 1643 844 1643 831 1643 463 1644 831 1644 844 1644 845 1645 843 1645 831 1645 846 1646 845 1646 831 1646 835 1647 846 1647 831 1647 463 1648 472 1648 831 1648 847 1649 844 1649 843 1649 464 1650 463 1650 844 1650 848 1651 464 1651 844 1651 849 1652 850 1652 844 1652 848 1653 844 1653 850 1653 847 1654 849 1654 844 1654 851 1655 843 1655 845 1655 851 1656 847 1656 843 1656 851 1657 845 1657 846 1657 834 1658 846 1658 835 1658 852 1659 851 1659 846 1659 852 1660 846 1660 834 1660 825 1661 829 1661 828 1661 825 1662 828 1662 841 1662 825 1663 841 1663 842 1663 823 1664 842 1664 824 1664 853 1665 825 1665 842 1665 853 1666 842 1666 823 1666 423 1667 430 1667 426 1667 457 1668 460 1668 464 1668 457 1669 464 1669 848 1669 617 1670 595 1670 597 1670 637 1671 597 1671 598 1671 637 1672 617 1672 597 1672 634 1673 598 1673 599 1673 634 1674 637 1674 598 1674 631 1675 599 1675 587 1675 631 1676 634 1676 599 1676 601 1677 631 1677 587 1677 813 1678 735 1678 741 1678 854 1679 741 1679 742 1679 854 1680 813 1680 741 1680 855 1681 742 1681 743 1681 855 1682 854 1682 742 1682 856 1683 743 1683 745 1683 856 1684 855 1684 743 1684 857 1685 745 1685 719 1685 857 1686 856 1686 745 1686 781 1687 857 1687 719 1687 858 1688 813 1688 854 1688 859 1689 836 1689 813 1689 860 1690 859 1690 813 1690 861 1691 860 1691 813 1691 850 1692 861 1692 813 1692 858 1693 850 1693 813 1693 862 1694 854 1694 855 1694 862 1695 858 1695 854 1695 863 1696 855 1696 856 1696 864 1697 862 1697 855 1697 855 1698 863 1698 865 1698 866 1699 856 1699 857 1699 867 1700 863 1700 856 1700 868 1701 867 1701 856 1701 869 1702 868 1702 856 1702 870 1703 869 1703 856 1703 866 1704 870 1704 856 1704 871 1705 857 1705 781 1705 871 1706 866 1706 857 1706 791 1707 871 1707 781 1707 872 1708 873 1708 791 1708 814 1709 873 1709 872 1709 791 1710 792 1710 872 1710 839 1711 791 1711 873 1711 874 1712 839 1712 873 1712 814 1713 874 1713 873 1713 814 1714 872 1714 792 1714 814 1715 792 1715 790 1715 834 1716 836 1716 859 1716 851 1717 859 1717 860 1717 875 1718 859 1718 851 1718 834 1719 859 1719 875 1719 851 1720 860 1720 861 1720 850 1721 849 1721 876 1721 876 1722 861 1722 850 1722 851 1723 861 1723 876 1723 848 1724 850 1724 858 1724 877 1725 858 1725 862 1725 877 1726 848 1726 858 1726 878 1727 862 1727 864 1727 878 1728 877 1728 862 1728 865 1729 864 1729 855 1729 879 1730 864 1730 865 1730 878 1731 864 1731 880 1731 879 1732 880 1732 864 1732 879 1733 865 1733 863 1733 879 1734 863 1734 867 1734 879 1735 867 1735 868 1735 881 1736 868 1736 869 1736 882 1737 868 1737 881 1737 879 1738 868 1738 882 1738 881 1739 869 1739 870 1739 883 1740 870 1740 866 1740 884 1741 870 1741 883 1741 881 1742 870 1742 884 1742 883 1743 885 1743 884 1743 886 1744 866 1744 871 1744 886 1745 883 1745 866 1745 839 1746 871 1746 791 1746 839 1747 886 1747 871 1747 881 1748 884 1748 885 1748 878 1749 887 1749 885 1749 881 1750 885 1750 887 1750 883 1751 878 1751 885 1751 878 1752 888 1752 887 1752 881 1753 887 1753 888 1753 878 1754 880 1754 888 1754 879 1755 888 1755 880 1755 881 1756 888 1756 889 1756 879 1757 889 1757 888 1757 851 1758 876 1758 849 1758 851 1759 849 1759 847 1759 457 1760 848 1760 877 1760 447 1761 877 1761 878 1761 447 1762 457 1762 877 1762 444 1763 878 1763 883 1763 444 1764 447 1764 878 1764 441 1765 883 1765 886 1765 441 1766 444 1766 883 1766 438 1767 886 1767 839 1767 438 1768 441 1768 886 1768 890 1769 840 1769 839 1769 874 1770 890 1770 839 1770 429 1771 438 1771 839 1771 815 1772 840 1772 890 1772 814 1773 890 1773 874 1773 815 1774 890 1774 891 1774 814 1775 891 1775 890 1775 882 1776 881 1776 889 1776 879 1777 882 1777 889 1777 853 1778 826 1778 825 1778 853 1779 823 1779 826 1779 852 1780 875 1780 851 1780 852 1781 834 1781 875 1781 816 1782 815 1782 891 1782 814 1783 816 1783 891 1783 520 1784 515 1784 514 1784 519 1785 520 1785 514 1785 516 1786 519 1786 514 1786 520 1787 521 1787 515 1787 516 1788 518 1788 519 1788 516 1789 517 1789 518 1789 528 1790 523 1790 522 1790 527 1791 528 1791 522 1791 524 1792 527 1792 522 1792 528 1793 529 1793 523 1793 524 1794 526 1794 527 1794 524 1795 525 1795 526 1795 536 1796 531 1796 530 1796 535 1797 536 1797 530 1797 532 1798 535 1798 530 1798 536 1799 537 1799 531 1799 532 1800 534 1800 535 1800 532 1801 533 1801 534 1801 544 1802 539 1802 538 1802 543 1803 544 1803 538 1803 540 1804 543 1804 538 1804 544 1805 545 1805 539 1805 540 1806 542 1806 543 1806 540 1807 541 1807 542 1807 754 1808 749 1808 748 1808 753 1809 754 1809 748 1809 750 1810 753 1810 748 1810 754 1811 755 1811 749 1811 750 1812 752 1812 753 1812 750 1813 751 1813 752 1813 762 1814 757 1814 756 1814 761 1815 762 1815 756 1815 758 1816 761 1816 756 1816 762 1817 763 1817 757 1817 758 1818 760 1818 761 1818 758 1819 759 1819 760 1819 770 1820 765 1820 764 1820 769 1821 770 1821 764 1821 766 1822 769 1822 764 1822 770 1823 771 1823 765 1823 766 1824 768 1824 769 1824 766 1825 767 1825 768 1825 778 1826 773 1826 772 1826 777 1827 778 1827 772 1827 774 1828 777 1828 772 1828 778 1829 779 1829 773 1829 774 1830 776 1830 777 1830 774 1831 775 1831 776 1831 892 1832 893 1832 894 1832 895 1833 894 1833 893 1833 896 1834 892 1834 894 1834 897 1835 896 1835 894 1835 898 1836 894 1836 895 1836 897 1837 894 1837 898 1837 899 1838 893 1838 892 1838 900 1839 893 1839 899 1839 895 1840 893 1840 900 1840 901 1841 892 1841 896 1841 902 1842 892 1842 901 1842 899 1843 892 1843 902 1843 903 1844 901 1844 896 1844 903 1845 896 1845 897 1845 904 1846 905 1846 906 1846 907 1847 906 1847 905 1847 908 1848 904 1848 906 1848 909 1849 908 1849 906 1849 910 1850 906 1850 907 1850 909 1851 906 1851 910 1851 911 1852 905 1852 904 1852 912 1853 905 1853 911 1853 907 1854 905 1854 912 1854 913 1855 904 1855 908 1855 914 1856 904 1856 913 1856 911 1857 904 1857 914 1857 915 1858 913 1858 908 1858 915 1859 908 1859 909 1859 900 1860 914 1860 913 1860 895 1861 900 1861 913 1861 915 1862 895 1862 913 1862 899 1863 911 1863 914 1863 900 1864 899 1864 914 1864 902 1865 912 1865 911 1865 899 1866 902 1866 911 1866 901 1867 907 1867 912 1867 902 1868 901 1868 912 1868 903 1869 907 1869 901 1869 903 1870 910 1870 907 1870 898 1871 895 1871 915 1871 897 1872 909 1872 910 1872 903 1873 897 1873 910 1873 898 1874 915 1874 909 1874 897 1875 898 1875 909 1875 916 1876 917 1876 918 1876 919 1877 918 1877 917 1877 920 1878 916 1878 918 1878 921 1879 920 1879 918 1879 922 1880 918 1880 919 1880 921 1881 918 1881 922 1881 923 1882 917 1882 916 1882 924 1883 917 1883 923 1883 919 1884 917 1884 924 1884 925 1885 916 1885 920 1885 926 1886 916 1886 925 1886 923 1887 916 1887 926 1887 927 1888 925 1888 920 1888 927 1889 920 1889 921 1889 928 1890 929 1890 930 1890 931 1891 930 1891 929 1891 932 1892 928 1892 930 1892 933 1893 932 1893 930 1893 934 1894 930 1894 931 1894 933 1895 930 1895 934 1895 935 1896 929 1896 928 1896 936 1897 929 1897 935 1897 931 1898 929 1898 936 1898 937 1899 928 1899 932 1899 938 1900 928 1900 937 1900 935 1901 928 1901 938 1901 939 1902 937 1902 932 1902 939 1903 932 1903 933 1903 924 1904 938 1904 937 1904 919 1905 924 1905 937 1905 939 1906 919 1906 937 1906 923 1907 935 1907 938 1907 924 1908 923 1908 938 1908 926 1909 936 1909 935 1909 923 1910 926 1910 935 1910 925 1911 931 1911 936 1911 926 1912 925 1912 936 1912 927 1913 931 1913 925 1913 927 1914 934 1914 931 1914 922 1915 919 1915 939 1915 921 1916 933 1916 934 1916 927 1917 921 1917 934 1917 922 1918 939 1918 933 1918 921 1919 922 1919 933 1919 940 1920 941 1920 942 1920 943 1921 942 1921 941 1921 944 1922 940 1922 942 1922 945 1923 944 1923 942 1923 946 1924 942 1924 943 1924 945 1925 942 1925 946 1925 947 1926 941 1926 940 1926 948 1927 941 1927 947 1927 943 1928 941 1928 948 1928 949 1929 940 1929 944 1929 950 1930 940 1930 949 1930 947 1931 940 1931 950 1931 951 1932 949 1932 944 1932 951 1933 944 1933 945 1933 952 1934 953 1934 954 1934 955 1935 954 1935 953 1935 956 1936 952 1936 954 1936 957 1937 956 1937 954 1937 958 1938 954 1938 955 1938 957 1939 954 1939 958 1939 959 1940 953 1940 952 1940 960 1941 953 1941 959 1941 955 1942 953 1942 960 1942 961 1943 952 1943 956 1943 962 1944 952 1944 961 1944 959 1945 952 1945 962 1945 963 1946 961 1946 956 1946 963 1947 956 1947 957 1947 948 1948 962 1948 961 1948 943 1949 948 1949 961 1949 963 1950 943 1950 961 1950 947 1951 959 1951 962 1951 948 1952 947 1952 962 1952 950 1953 960 1953 959 1953 947 1954 950 1954 959 1954 949 1955 955 1955 960 1955 950 1956 949 1956 960 1956 951 1957 955 1957 949 1957 951 1958 958 1958 955 1958 946 1959 943 1959 963 1959 945 1960 957 1960 958 1960 951 1961 945 1961 958 1961 946 1962 963 1962 957 1962 945 1963 946 1963 957 1963 964 1964 965 1964 966 1964 967 1965 966 1965 965 1965 968 1966 964 1966 966 1966 969 1967 968 1967 966 1967 970 1968 966 1968 967 1968 969 1969 966 1969 970 1969 971 1970 965 1970 964 1970 972 1971 965 1971 971 1971 967 1972 965 1972 972 1972 973 1973 964 1973 968 1973 974 1974 964 1974 973 1974 971 1975 964 1975 974 1975 975 1976 973 1976 968 1976 975 1977 968 1977 969 1977 976 1978 977 1978 978 1978 979 1979 978 1979 977 1979 980 1980 976 1980 978 1980 981 1981 980 1981 978 1981 982 1982 978 1982 979 1982 981 1983 978 1983 982 1983 983 1984 977 1984 976 1984 984 1985 977 1985 983 1985 979 1986 977 1986 984 1986 985 1987 976 1987 980 1987 986 1988 976 1988 985 1988 983 1989 976 1989 986 1989 987 1990 985 1990 980 1990 987 1991 980 1991 981 1991 972 1992 986 1992 985 1992 967 1993 972 1993 985 1993 987 1994 967 1994 985 1994 971 1995 983 1995 986 1995 972 1996 971 1996 986 1996 974 1997 984 1997 983 1997 971 1998 974 1998 983 1998 973 1999 979 1999 984 1999 974 2000 973 2000 984 2000 975 2001 979 2001 973 2001 975 2002 982 2002 979 2002 970 2003 967 2003 987 2003 969 2004 981 2004 982 2004 975 2005 969 2005 982 2005 970 2006 987 2006 981 2006 969 2007 970 2007 981 2007 988 2008 989 2008 990 2008 991 2009 990 2009 989 2009 992 2010 990 2010 993 2010 994 2011 993 2011 990 2011 995 2012 990 2012 992 2012 996 2013 990 2013 995 2013 997 2014 988 2014 990 2014 998 2015 997 2015 990 2015 996 2016 998 2016 990 2016 994 2017 990 2017 991 2017 999 2018 1000 2018 989 2018 1001 2019 989 2019 1000 2019 1002 2020 989 2020 988 2020 1003 2021 989 2021 1002 2021 1003 2022 999 2022 989 2022 1001 2023 991 2023 989 2023 1004 2024 1005 2024 1000 2024 1001 2025 1000 2025 1005 2025 999 2026 1004 2026 1000 2026 1006 2027 1007 2027 1005 2027 1008 2028 1005 2028 1007 2028 1009 2029 1005 2029 1010 2029 1004 2030 1010 2030 1005 2030 1009 2031 1006 2031 1005 2031 1001 2032 1005 2032 1008 2032 1006 2033 1011 2033 1007 2033 1012 2034 1007 2034 1011 2034 1008 2035 1007 2035 1012 2035 1013 2036 1014 2036 1011 2036 1015 2037 1011 2037 1014 2037 1016 2038 1011 2038 1006 2038 1017 2039 1011 2039 1016 2039 1018 2040 1011 2040 1017 2040 1013 2041 1011 2041 1018 2041 1012 2042 1011 2042 1015 2042 1019 2043 1020 2043 1014 2043 1015 2044 1014 2044 1020 2044 1013 2045 1019 2045 1014 2045 1021 2046 1022 2046 1020 2046 1023 2047 1020 2047 1022 2047 1024 2048 1021 2048 1020 2048 1025 2049 1024 2049 1020 2049 1026 2050 1025 2050 1020 2050 1027 2051 1028 2051 1020 2051 1026 2052 1020 2052 1028 2052 1029 2053 1027 2053 1020 2053 1030 2054 1029 2054 1020 2054 1019 2055 1030 2055 1020 2055 1015 2056 1020 2056 1023 2056 1031 2057 1032 2057 1022 2057 1033 2058 1022 2058 1032 2058 1034 2059 1022 2059 1021 2059 1035 2060 1022 2060 1034 2060 1036 2061 1031 2061 1022 2061 1037 2062 1036 2062 1022 2062 1035 2063 1037 2063 1022 2063 1023 2064 1022 2064 1033 2064 1038 2065 1039 2065 1032 2065 1040 2066 1032 2066 1039 2066 1041 2067 1032 2067 1031 2067 1042 2068 1032 2068 1041 2068 1042 2069 1038 2069 1032 2069 1033 2070 1032 2070 1040 2070 1043 2071 1044 2071 1039 2071 1040 2072 1039 2072 1044 2072 1038 2073 1043 2073 1039 2073 1045 2074 1046 2074 1044 2074 1047 2075 1044 2075 1046 2075 1048 2076 1044 2076 1049 2076 1043 2077 1049 2077 1044 2077 1048 2078 1045 2078 1044 2078 1040 2079 1044 2079 1047 2079 1045 2080 1050 2080 1046 2080 1051 2081 1046 2081 1050 2081 1047 2082 1046 2082 1051 2082 1052 2083 1053 2083 1050 2083 1054 2084 1050 2084 1053 2084 1055 2085 1050 2085 1045 2085 1056 2086 1050 2086 1055 2086 1057 2087 1050 2087 1056 2087 1052 2088 1050 2088 1057 2088 1051 2089 1050 2089 1054 2089 1058 2090 993 2090 1053 2090 1054 2091 1053 2091 993 2091 1052 2092 1058 2092 1053 2092 1059 2093 1060 2093 993 2093 1061 2094 993 2094 1060 2094 1062 2095 1059 2095 993 2095 1063 2096 993 2096 1061 2096 1064 2097 992 2097 993 2097 1063 2098 1064 2098 993 2098 1065 2099 1062 2099 993 2099 1058 2100 1065 2100 993 2100 1054 2101 993 2101 994 2101 1066 2102 1021 2102 1024 2102 1067 2103 1034 2103 1021 2103 1067 2104 1021 2104 1066 2104 1068 2105 1024 2105 1025 2105 1068 2106 1066 2106 1024 2106 1035 2107 1069 2107 1025 2107 1070 2108 1025 2108 1069 2108 1026 2109 1071 2109 1025 2109 1072 2110 1025 2110 1071 2110 1072 2111 1035 2111 1025 2111 1068 2112 1025 2112 1070 2112 1035 2113 1073 2113 1069 2113 1074 2114 1069 2114 1073 2114 1070 2115 1069 2115 1074 2115 1035 2116 1034 2116 1073 2116 1075 2117 1073 2117 1034 2117 1074 2118 1073 2118 1075 2118 1075 2119 1034 2119 1067 2119 1076 2120 1031 2120 1036 2120 1077 2121 1041 2121 1031 2121 1077 2122 1031 2122 1076 2122 1078 2123 1036 2123 1037 2123 1078 2124 1076 2124 1036 2124 1079 2125 1080 2125 1037 2125 1081 2126 1037 2126 1080 2126 1035 2127 1082 2127 1037 2127 1079 2128 1037 2128 1082 2128 1078 2129 1037 2129 1081 2129 1079 2130 1083 2130 1080 2130 1084 2131 1080 2131 1083 2131 1081 2132 1080 2132 1084 2132 1079 2133 1041 2133 1083 2133 1085 2134 1083 2134 1041 2134 1084 2135 1083 2135 1085 2135 1079 2136 1042 2136 1041 2136 1085 2137 1041 2137 1077 2137 1043 2138 1086 2138 1049 2138 1087 2139 1049 2139 1086 2139 1048 2140 1049 2140 1088 2140 1089 2141 1088 2141 1049 2141 1089 2142 1049 2142 1087 2142 1090 2143 1091 2143 1086 2143 1092 2144 1086 2144 1091 2144 1043 2145 1090 2145 1086 2145 1092 2146 1087 2146 1086 2146 1093 2147 1094 2147 1091 2147 1095 2148 1091 2148 1094 2148 1090 2149 1093 2149 1091 2149 1092 2150 1091 2150 1095 2150 1096 2151 1097 2151 1094 2151 1098 2152 1094 2152 1097 2152 1099 2153 1096 2153 1094 2153 1093 2154 1099 2154 1094 2154 1095 2155 1094 2155 1098 2155 1100 2156 1088 2156 1097 2156 1101 2157 1097 2157 1088 2157 1102 2158 1100 2158 1097 2158 1096 2159 1102 2159 1097 2159 1098 2160 1097 2160 1101 2160 1100 2161 1048 2161 1088 2161 1101 2162 1088 2162 1089 2162 1103 2163 1045 2163 1048 2163 1104 2164 1055 2164 1045 2164 1104 2165 1045 2165 1103 2165 1105 2166 1048 2166 1100 2166 1105 2167 1103 2167 1048 2167 1106 2168 1100 2168 1102 2168 1105 2169 1100 2169 1106 2169 1107 2170 1108 2170 1102 2170 1109 2171 1102 2171 1108 2171 1096 2172 1107 2172 1102 2172 1106 2173 1102 2173 1109 2173 1056 2174 1055 2174 1108 2174 1110 2175 1108 2175 1055 2175 1107 2176 1056 2176 1108 2176 1109 2177 1108 2177 1110 2177 1110 2178 1055 2178 1104 2178 1111 2179 1056 2179 1107 2179 1112 2180 1057 2180 1056 2180 1112 2181 1056 2181 1111 2181 1113 2182 1107 2182 1096 2182 1113 2183 1111 2183 1107 2183 1114 2184 1096 2184 1099 2184 1113 2185 1096 2185 1114 2185 1115 2186 1116 2186 1099 2186 1117 2187 1099 2187 1116 2187 1093 2188 1118 2188 1099 2188 1115 2189 1099 2189 1118 2189 1114 2190 1099 2190 1117 2190 1052 2191 1057 2191 1116 2191 1119 2192 1116 2192 1057 2192 1115 2193 1052 2193 1116 2193 1117 2194 1116 2194 1119 2194 1119 2195 1057 2195 1112 2195 1120 2196 1060 2196 1059 2196 1121 2197 1061 2197 1060 2197 1121 2198 1060 2198 1120 2198 1062 2199 1122 2199 1059 2199 1123 2200 1059 2200 1122 2200 1123 2201 1120 2201 1059 2201 1124 2202 1125 2202 1122 2202 1126 2203 1122 2203 1125 2203 1062 2204 1124 2204 1122 2204 1123 2205 1122 2205 1126 2205 1124 2206 1127 2206 1125 2206 1128 2207 1125 2207 1127 2207 1126 2208 1125 2208 1128 2208 1063 2209 1061 2209 1127 2209 1129 2210 1127 2210 1061 2210 1124 2211 1063 2211 1127 2211 1128 2212 1127 2212 1129 2212 1129 2213 1061 2213 1121 2213 1130 2214 992 2214 1064 2214 1131 2215 995 2215 992 2215 1131 2216 992 2216 1130 2216 1132 2217 1064 2217 1063 2217 1132 2218 1130 2218 1064 2218 996 2219 1133 2219 1063 2219 1134 2220 1063 2220 1133 2220 1124 2221 996 2221 1063 2221 1132 2222 1063 2222 1134 2222 996 2223 1135 2223 1133 2223 1136 2224 1133 2224 1135 2224 1134 2225 1133 2225 1136 2225 996 2226 995 2226 1135 2226 1137 2227 1135 2227 995 2227 1136 2228 1135 2228 1137 2228 1137 2229 995 2229 1131 2229 1138 2230 988 2230 997 2230 1139 2231 1002 2231 988 2231 1139 2232 988 2232 1138 2232 1140 2233 997 2233 998 2233 1140 2234 1138 2234 997 2234 1141 2235 1142 2235 998 2235 1143 2236 998 2236 1142 2236 996 2237 1144 2237 998 2237 1141 2238 998 2238 1144 2238 1140 2239 998 2239 1143 2239 1141 2240 1145 2240 1142 2240 1146 2241 1142 2241 1145 2241 1143 2242 1142 2242 1146 2242 1141 2243 1002 2243 1145 2243 1147 2244 1145 2244 1002 2244 1146 2245 1145 2245 1147 2245 1141 2246 1003 2246 1002 2246 1147 2247 1002 2247 1139 2247 1004 2248 1148 2248 1010 2248 1149 2249 1010 2249 1148 2249 1009 2250 1010 2250 1150 2250 1151 2251 1150 2251 1010 2251 1151 2252 1010 2252 1149 2252 1152 2253 1153 2253 1148 2253 1154 2254 1148 2254 1153 2254 1004 2255 1152 2255 1148 2255 1154 2256 1149 2256 1148 2256 1155 2257 1156 2257 1153 2257 1157 2258 1153 2258 1156 2258 1152 2259 1155 2259 1153 2259 1154 2260 1153 2260 1157 2260 1158 2261 1159 2261 1156 2261 1160 2262 1156 2262 1159 2262 1161 2263 1158 2263 1156 2263 1155 2264 1161 2264 1156 2264 1157 2265 1156 2265 1160 2265 1162 2266 1150 2266 1159 2266 1163 2267 1159 2267 1150 2267 1164 2268 1162 2268 1159 2268 1158 2269 1164 2269 1159 2269 1160 2270 1159 2270 1163 2270 1162 2271 1009 2271 1150 2271 1163 2272 1150 2272 1151 2272 1165 2273 1006 2273 1009 2273 1166 2274 1016 2274 1006 2274 1166 2275 1006 2275 1165 2275 1167 2276 1009 2276 1162 2276 1167 2277 1165 2277 1009 2277 1168 2278 1162 2278 1164 2278 1167 2279 1162 2279 1168 2279 1169 2280 1170 2280 1164 2280 1171 2281 1164 2281 1170 2281 1158 2282 1169 2282 1164 2282 1168 2283 1164 2283 1171 2283 1017 2284 1016 2284 1170 2284 1172 2285 1170 2285 1016 2285 1169 2286 1017 2286 1170 2286 1171 2287 1170 2287 1172 2287 1172 2288 1016 2288 1166 2288 1173 2289 1017 2289 1169 2289 1174 2290 1018 2290 1017 2290 1174 2291 1017 2291 1173 2291 1175 2292 1169 2292 1158 2292 1175 2293 1173 2293 1169 2293 1176 2294 1158 2294 1161 2294 1175 2295 1158 2295 1176 2295 1177 2296 1178 2296 1161 2296 1179 2297 1161 2297 1178 2297 1155 2298 1180 2298 1161 2298 1177 2299 1161 2299 1180 2299 1176 2300 1161 2300 1179 2300 1013 2301 1018 2301 1178 2301 1181 2302 1178 2302 1018 2302 1177 2303 1013 2303 1178 2303 1179 2304 1178 2304 1181 2304 1181 2305 1018 2305 1174 2305 1182 2306 1028 2306 1027 2306 1183 2307 1026 2307 1028 2307 1183 2308 1028 2308 1182 2308 1029 2309 1184 2309 1027 2309 1185 2310 1027 2310 1184 2310 1185 2311 1182 2311 1027 2311 1072 2312 1186 2312 1184 2312 1187 2313 1184 2313 1186 2313 1029 2314 1072 2314 1184 2314 1185 2315 1184 2315 1187 2315 1072 2316 1071 2316 1186 2316 1188 2317 1186 2317 1071 2317 1187 2318 1186 2318 1188 2318 1189 2319 1071 2319 1026 2319 1188 2320 1071 2320 1189 2320 1189 2321 1026 2321 1183 2321 1155 2322 1144 2322 1180 2322 1190 2323 1180 2323 1144 2323 1177 2324 1180 2324 1191 2324 1192 2325 1191 2325 1180 2325 1192 2326 1180 2326 1190 2326 1193 2327 1144 2327 996 2327 1141 2328 1144 2328 1155 2328 1193 2329 1190 2329 1144 2329 1194 2330 996 2330 1124 2330 1193 2331 996 2331 1194 2331 1195 2332 1196 2332 1124 2332 1197 2333 1124 2333 1196 2333 1195 2334 1124 2334 1062 2334 1194 2335 1124 2335 1197 2335 1115 2336 1118 2336 1196 2336 1198 2337 1196 2337 1118 2337 1195 2338 1115 2338 1196 2338 1197 2339 1196 2339 1198 2339 1093 2340 1082 2340 1118 2340 1199 2341 1118 2341 1082 2341 1198 2342 1118 2342 1199 2342 1200 2343 1082 2343 1035 2343 1079 2344 1082 2344 1093 2344 1199 2345 1082 2345 1200 2345 1201 2346 1035 2346 1072 2346 1200 2347 1035 2347 1201 2347 1202 2348 1191 2348 1072 2348 1203 2349 1072 2349 1191 2349 1202 2350 1072 2350 1029 2350 1201 2351 1072 2351 1203 2351 1202 2352 1177 2352 1191 2352 1203 2353 1191 2353 1192 2353 1204 2354 1093 2354 1090 2354 1205 2355 1079 2355 1093 2355 1205 2356 1093 2356 1204 2356 1206 2357 1090 2357 1043 2357 1204 2358 1090 2358 1206 2358 1207 2359 1043 2359 1038 2359 1206 2360 1043 2360 1207 2360 1208 2361 1038 2361 1042 2361 1207 2362 1038 2362 1208 2362 1209 2363 1042 2363 1079 2363 1209 2364 1208 2364 1042 2364 1209 2365 1079 2365 1205 2365 1210 2366 1062 2366 1065 2366 1211 2367 1195 2367 1062 2367 1211 2368 1062 2368 1210 2368 1212 2369 1065 2369 1058 2369 1210 2370 1065 2370 1212 2370 1213 2371 1058 2371 1052 2371 1212 2372 1058 2372 1213 2372 1214 2373 1052 2373 1115 2373 1213 2374 1052 2374 1214 2374 1215 2375 1115 2375 1195 2375 1215 2376 1214 2376 1115 2376 1215 2377 1195 2377 1211 2377 1216 2378 1155 2378 1152 2378 1217 2379 1141 2379 1155 2379 1217 2380 1155 2380 1216 2380 1218 2381 1152 2381 1004 2381 1216 2382 1152 2382 1218 2382 1219 2383 1004 2383 999 2383 1218 2384 1004 2384 1219 2384 1220 2385 999 2385 1003 2385 1219 2386 999 2386 1220 2386 1221 2387 1003 2387 1141 2387 1221 2388 1220 2388 1003 2388 1221 2389 1141 2389 1217 2389 1222 2390 1029 2390 1030 2390 1223 2391 1202 2391 1029 2391 1223 2392 1029 2392 1222 2392 1224 2393 1030 2393 1019 2393 1222 2394 1030 2394 1224 2394 1225 2395 1019 2395 1013 2395 1224 2396 1019 2396 1225 2396 1226 2397 1013 2397 1177 2397 1225 2398 1013 2398 1226 2398 1227 2399 1177 2399 1202 2399 1227 2400 1226 2400 1177 2400 1227 2401 1202 2401 1223 2401 1228 2402 994 2402 991 2402 1229 2403 991 2403 1001 2403 1229 2404 1228 2404 991 2404 1230 2405 1054 2405 994 2405 1228 2406 1230 2406 994 2406 1231 2407 1051 2407 1054 2407 1230 2408 1231 2408 1054 2408 1231 2409 1047 2409 1051 2409 1232 2410 1040 2410 1047 2410 1231 2411 1232 2411 1047 2411 1233 2412 1033 2412 1040 2412 1234 2413 1233 2413 1040 2413 1232 2414 1234 2414 1040 2414 1235 2415 1023 2415 1033 2415 1235 2416 1033 2416 1233 2416 1236 2417 1015 2417 1023 2417 1235 2418 1236 2418 1023 2418 1237 2419 1012 2419 1015 2419 1236 2420 1237 2420 1015 2420 1237 2421 1008 2421 1012 2421 1238 2422 1001 2422 1008 2422 1237 2423 1238 2423 1008 2423 1239 2424 1229 2424 1001 2424 1238 2425 1239 2425 1001 2425 1240 2426 1233 2426 1234 2426 1241 2427 1235 2427 1233 2427 1241 2428 1233 2428 1240 2428 1242 2429 1234 2429 1232 2429 1242 2430 1240 2430 1234 2430 1243 2431 1232 2431 1231 2431 1242 2432 1232 2432 1243 2432 1244 2433 1231 2433 1230 2433 1243 2434 1231 2434 1244 2434 1245 2435 1230 2435 1228 2435 1244 2436 1230 2436 1245 2436 1246 2437 1228 2437 1229 2437 1245 2438 1228 2438 1246 2438 1247 2439 1229 2439 1239 2439 1246 2440 1229 2440 1247 2440 1248 2441 1239 2441 1238 2441 1247 2442 1239 2442 1248 2442 1249 2443 1238 2443 1237 2443 1248 2444 1238 2444 1249 2444 1250 2445 1237 2445 1236 2445 1249 2446 1237 2446 1250 2446 1251 2447 1236 2447 1235 2447 1250 2448 1236 2448 1251 2448 1251 2449 1235 2449 1241 2449 1120 2450 1252 2450 1253 2450 1247 2451 1253 2451 1252 2451 1130 2452 1253 2452 1254 2452 1248 2453 1254 2453 1253 2453 1121 2454 1120 2454 1253 2454 1129 2455 1121 2455 1253 2455 1132 2456 1129 2456 1253 2456 1132 2457 1253 2457 1130 2457 1247 2458 1248 2458 1253 2458 1255 2459 1256 2459 1252 2459 1246 2460 1252 2460 1256 2460 1123 2461 1252 2461 1120 2461 1198 2462 1252 2462 1123 2462 1257 2463 1252 2463 1198 2463 1258 2464 1252 2464 1257 2464 1258 2465 1255 2465 1252 2465 1246 2466 1247 2466 1252 2466 1112 2467 1259 2467 1256 2467 1246 2468 1256 2468 1259 2468 1119 2469 1112 2469 1256 2469 1117 2470 1119 2470 1256 2470 1260 2471 1117 2471 1256 2471 1255 2472 1260 2472 1256 2472 1103 2473 1261 2473 1259 2473 1245 2474 1259 2474 1261 2474 1103 2475 1259 2475 1111 2475 1111 2476 1104 2476 1103 2476 1112 2477 1111 2477 1259 2477 1245 2478 1246 2478 1259 2478 1087 2479 1262 2479 1261 2479 1244 2480 1261 2480 1262 2480 1105 2481 1087 2481 1261 2481 1105 2482 1261 2482 1103 2482 1244 2483 1245 2483 1261 2483 1095 2484 1263 2484 1262 2484 1243 2485 1262 2485 1263 2485 1092 2486 1262 2486 1087 2486 1092 2487 1095 2487 1262 2487 1243 2488 1244 2488 1262 2488 1264 2489 1265 2489 1263 2489 1243 2490 1263 2490 1265 2490 1095 2491 1098 2491 1263 2491 1260 2492 1263 2492 1098 2492 1266 2493 1263 2493 1199 2493 1260 2494 1199 2494 1263 2494 1267 2495 1264 2495 1263 2495 1266 2496 1267 2496 1263 2496 1066 2497 1268 2497 1265 2497 1242 2498 1265 2498 1268 2498 1066 2499 1265 2499 1076 2499 1076 2500 1067 2500 1066 2500 1077 2501 1076 2501 1265 2501 1085 2502 1077 2502 1265 2502 1269 2503 1085 2503 1265 2503 1264 2504 1269 2504 1265 2504 1242 2505 1243 2505 1265 2505 1182 2506 1270 2506 1268 2506 1240 2507 1268 2507 1270 2507 1068 2508 1268 2508 1066 2508 1189 2509 1268 2509 1068 2509 1183 2510 1182 2510 1268 2510 1189 2511 1183 2511 1268 2511 1242 2512 1268 2512 1240 2512 1271 2513 1272 2513 1270 2513 1241 2514 1270 2514 1272 2514 1185 2515 1270 2515 1182 2515 1192 2516 1270 2516 1185 2516 1273 2517 1270 2517 1192 2517 1274 2518 1270 2518 1273 2518 1274 2519 1271 2519 1270 2519 1241 2520 1240 2520 1270 2520 1174 2521 1275 2521 1272 2521 1241 2522 1272 2522 1275 2522 1181 2523 1174 2523 1272 2523 1179 2524 1181 2524 1272 2524 1276 2525 1179 2525 1272 2525 1271 2526 1276 2526 1272 2526 1165 2527 1277 2527 1275 2527 1251 2528 1275 2528 1277 2528 1165 2529 1275 2529 1173 2529 1173 2530 1166 2530 1165 2530 1174 2531 1173 2531 1275 2531 1251 2532 1241 2532 1275 2532 1149 2533 1278 2533 1277 2533 1250 2534 1277 2534 1278 2534 1167 2535 1149 2535 1277 2535 1167 2536 1277 2536 1165 2536 1250 2537 1251 2537 1277 2537 1157 2538 1279 2538 1278 2538 1249 2539 1278 2539 1279 2539 1154 2540 1278 2540 1149 2540 1154 2541 1157 2541 1278 2541 1249 2542 1250 2542 1278 2542 1280 2543 1254 2543 1279 2543 1249 2544 1279 2544 1254 2544 1157 2545 1160 2545 1279 2545 1276 2546 1279 2546 1160 2546 1281 2547 1279 2547 1190 2547 1276 2548 1190 2548 1279 2548 1282 2549 1280 2549 1279 2549 1281 2550 1282 2550 1279 2550 1130 2551 1254 2551 1138 2551 1138 2552 1131 2552 1130 2552 1139 2553 1138 2553 1254 2553 1147 2554 1139 2554 1254 2554 1283 2555 1147 2555 1254 2555 1280 2556 1283 2556 1254 2556 1248 2557 1249 2557 1254 2557 1076 2558 1075 2558 1067 2558 1203 2559 1074 2559 1075 2559 1078 2560 1075 2560 1076 2560 1078 2561 1081 2561 1075 2561 1201 2562 1075 2562 1081 2562 1201 2563 1203 2563 1075 2563 1203 2564 1070 2564 1074 2564 1203 2565 1068 2565 1070 2565 1203 2566 1189 2566 1068 2566 1201 2567 1084 2567 1085 2567 1269 2568 1201 2568 1085 2568 1201 2569 1081 2569 1084 2569 1106 2570 1089 2570 1087 2570 1105 2571 1106 2571 1087 2571 1109 2572 1101 2572 1089 2572 1106 2573 1109 2573 1089 2573 1117 2574 1098 2574 1101 2574 1114 2575 1101 2575 1109 2575 1114 2576 1117 2576 1101 2576 1260 2577 1098 2577 1117 2577 1113 2578 1110 2578 1104 2578 1113 2579 1104 2579 1111 2579 1114 2580 1109 2580 1110 2580 1113 2581 1114 2581 1110 2581 1198 2582 1128 2582 1129 2582 1197 2583 1129 2583 1132 2583 1197 2584 1198 2584 1129 2584 1198 2585 1126 2585 1128 2585 1198 2586 1123 2586 1126 2586 1138 2587 1137 2587 1131 2587 1197 2588 1136 2588 1137 2588 1140 2589 1137 2589 1138 2589 1140 2590 1143 2590 1137 2590 1194 2591 1137 2591 1143 2591 1194 2592 1197 2592 1137 2592 1197 2593 1134 2593 1136 2593 1197 2594 1132 2594 1134 2594 1194 2595 1146 2595 1147 2595 1283 2596 1194 2596 1147 2596 1194 2597 1143 2597 1146 2597 1168 2598 1151 2598 1149 2598 1167 2599 1168 2599 1149 2599 1171 2600 1163 2600 1151 2600 1168 2601 1171 2601 1151 2601 1179 2602 1160 2602 1163 2602 1176 2603 1163 2603 1171 2603 1176 2604 1179 2604 1163 2604 1276 2605 1160 2605 1179 2605 1175 2606 1172 2606 1166 2606 1175 2607 1166 2607 1173 2607 1176 2608 1171 2608 1172 2608 1175 2609 1176 2609 1172 2609 1192 2610 1188 2610 1189 2610 1203 2611 1192 2611 1189 2611 1192 2612 1187 2612 1188 2612 1192 2613 1185 2613 1187 2613 1284 2614 1192 2614 1190 2614 1285 2615 1190 2615 1193 2615 1281 2616 1190 2616 1285 2616 1286 2617 1284 2617 1190 2617 1276 2618 1286 2618 1190 2618 1284 2619 1273 2619 1192 2619 1287 2620 1200 2620 1201 2620 1269 2621 1287 2621 1201 2621 1288 2622 1199 2622 1200 2622 1287 2623 1288 2623 1200 2623 1289 2624 1198 2624 1199 2624 1266 2625 1199 2625 1288 2625 1290 2626 1289 2626 1199 2626 1260 2627 1290 2627 1199 2627 1289 2628 1257 2628 1198 2628 1291 2629 1193 2629 1194 2629 1283 2630 1291 2630 1194 2630 1291 2631 1285 2631 1193 2631 1204 2632 1288 2632 1287 2632 1206 2633 1266 2633 1288 2633 1204 2634 1206 2634 1288 2634 1205 2635 1287 2635 1269 2635 1205 2636 1204 2636 1287 2636 1209 2637 1269 2637 1264 2637 1209 2638 1205 2638 1269 2638 1208 2639 1264 2639 1267 2639 1209 2640 1264 2640 1208 2640 1207 2641 1267 2641 1266 2641 1207 2642 1208 2642 1267 2642 1206 2643 1207 2643 1266 2643 1210 2644 1257 2644 1289 2644 1212 2645 1258 2645 1257 2645 1210 2646 1212 2646 1257 2646 1211 2647 1289 2647 1290 2647 1211 2648 1210 2648 1289 2648 1215 2649 1290 2649 1260 2649 1215 2650 1211 2650 1290 2650 1214 2651 1260 2651 1255 2651 1215 2652 1260 2652 1214 2652 1213 2653 1255 2653 1258 2653 1213 2654 1214 2654 1255 2654 1212 2655 1213 2655 1258 2655 1216 2656 1285 2656 1291 2656 1218 2657 1281 2657 1285 2657 1216 2658 1218 2658 1285 2658 1217 2659 1291 2659 1283 2659 1217 2660 1216 2660 1291 2660 1221 2661 1283 2661 1280 2661 1221 2662 1217 2662 1283 2662 1220 2663 1280 2663 1282 2663 1221 2664 1280 2664 1220 2664 1219 2665 1282 2665 1281 2665 1219 2666 1220 2666 1282 2666 1218 2667 1219 2667 1281 2667 1222 2668 1273 2668 1284 2668 1224 2669 1274 2669 1273 2669 1222 2670 1224 2670 1273 2670 1223 2671 1284 2671 1286 2671 1223 2672 1222 2672 1284 2672 1227 2673 1286 2673 1276 2673 1227 2674 1223 2674 1286 2674 1226 2675 1276 2675 1271 2675 1227 2676 1276 2676 1226 2676 1225 2677 1271 2677 1274 2677 1225 2678 1226 2678 1271 2678 1224 2679 1225 2679 1274 2679 1292 2680 1293 2680 1294 2680 1295 2681 1294 2681 1293 2681 1296 2682 1294 2682 1297 2682 1298 2683 1297 2683 1294 2683 1299 2684 1292 2684 1294 2684 1300 2685 1299 2685 1294 2685 1301 2686 1300 2686 1294 2686 1302 2687 1301 2687 1294 2687 1303 2688 1302 2688 1294 2688 1304 2689 1303 2689 1294 2689 1296 2690 1304 2690 1294 2690 1298 2691 1294 2691 1295 2691 1305 2692 1306 2692 1293 2692 1307 2693 1293 2693 1306 2693 1308 2694 1305 2694 1293 2694 1292 2695 1308 2695 1293 2695 1307 2696 1295 2696 1293 2696 1309 2697 1310 2697 1306 2697 1311 2698 1306 2698 1310 2698 1305 2699 1312 2699 1306 2699 1309 2700 1306 2700 1312 2700 1307 2701 1306 2701 1311 2701 1313 2702 1314 2702 1310 2702 1315 2703 1310 2703 1314 2703 1316 2704 1313 2704 1310 2704 1317 2705 1316 2705 1310 2705 1318 2706 1317 2706 1310 2706 1309 2707 1318 2707 1310 2707 1311 2708 1310 2708 1315 2708 1319 2709 1320 2709 1314 2709 1321 2710 1314 2710 1320 2710 1322 2711 1319 2711 1314 2711 1323 2712 1322 2712 1314 2712 1313 2713 1323 2713 1314 2713 1315 2714 1314 2714 1321 2714 1324 2715 1325 2715 1320 2715 1326 2716 1320 2716 1325 2716 1327 2717 1324 2717 1320 2717 1328 2718 1327 2718 1320 2718 1329 2719 1328 2719 1320 2719 1330 2720 1329 2720 1320 2720 1331 2721 1330 2721 1320 2721 1332 2722 1331 2722 1320 2722 1319 2723 1332 2723 1320 2723 1321 2724 1320 2724 1326 2724 1333 2725 1334 2725 1325 2725 1335 2726 1325 2726 1334 2726 1336 2727 1333 2727 1325 2727 1324 2728 1336 2728 1325 2728 1326 2729 1325 2729 1335 2729 1337 2730 1338 2730 1334 2730 1339 2731 1334 2731 1338 2731 1340 2732 1337 2732 1334 2732 1333 2733 1340 2733 1334 2733 1335 2734 1334 2734 1339 2734 1341 2735 1297 2735 1338 2735 1342 2736 1338 2736 1297 2736 1343 2737 1341 2737 1338 2737 1344 2738 1343 2738 1338 2738 1345 2739 1344 2739 1338 2739 1337 2740 1345 2740 1338 2740 1339 2741 1338 2741 1342 2741 1346 2742 1296 2742 1297 2742 1347 2743 1346 2743 1297 2743 1341 2744 1347 2744 1297 2744 1342 2745 1297 2745 1298 2745 1348 2746 1349 2746 1350 2746 1351 2747 1350 2747 1349 2747 1348 2748 1350 2748 1352 2748 1353 2749 1352 2749 1350 2749 1353 2750 1350 2750 1351 2750 1348 2751 1354 2751 1349 2751 1355 2752 1349 2752 1354 2752 1351 2753 1349 2753 1355 2753 1348 2754 1312 2754 1354 2754 1356 2755 1354 2755 1312 2755 1355 2756 1354 2756 1356 2756 1357 2757 1312 2757 1305 2757 1348 2758 1309 2758 1312 2758 1356 2759 1312 2759 1357 2759 1358 2760 1305 2760 1308 2760 1357 2761 1305 2761 1358 2761 1359 2762 1308 2762 1292 2762 1358 2763 1308 2763 1359 2763 1360 2764 1292 2764 1299 2764 1359 2765 1292 2765 1360 2765 1361 2766 1299 2766 1300 2766 1361 2767 1360 2767 1299 2767 1362 2768 1300 2768 1301 2768 1361 2769 1300 2769 1362 2769 1363 2770 1301 2770 1302 2770 1362 2771 1301 2771 1363 2771 1303 2772 1352 2772 1302 2772 1364 2773 1302 2773 1352 2773 1363 2774 1302 2774 1364 2774 1348 2775 1352 2775 1303 2775 1364 2776 1352 2776 1353 2776 1365 2777 1366 2777 1367 2777 1368 2778 1367 2778 1366 2778 1369 2779 1367 2779 1344 2779 1370 2780 1344 2780 1367 2780 1371 2781 1372 2781 1367 2781 1373 2782 1367 2782 1372 2782 1374 2783 1371 2783 1367 2783 1369 2784 1374 2784 1367 2784 1373 2785 1365 2785 1367 2785 1370 2786 1367 2786 1368 2786 1348 2787 1375 2787 1366 2787 1376 2788 1366 2788 1375 2788 1365 2789 1348 2789 1366 2789 1368 2790 1366 2790 1376 2790 1348 2791 1377 2791 1375 2791 1378 2792 1375 2792 1377 2792 1376 2793 1375 2793 1378 2793 1348 2794 1303 2794 1377 2794 1379 2795 1377 2795 1303 2795 1378 2796 1377 2796 1379 2796 1380 2797 1303 2797 1304 2797 1379 2798 1303 2798 1380 2798 1381 2799 1304 2799 1296 2799 1380 2800 1304 2800 1381 2800 1382 2801 1296 2801 1346 2801 1381 2802 1296 2802 1382 2802 1383 2803 1346 2803 1347 2803 1383 2804 1382 2804 1346 2804 1384 2805 1347 2805 1341 2805 1383 2806 1347 2806 1384 2806 1385 2807 1341 2807 1343 2807 1384 2808 1341 2808 1385 2808 1386 2809 1343 2809 1344 2809 1385 2810 1343 2810 1386 2810 1387 2811 1369 2811 1344 2811 1345 2812 1387 2812 1344 2812 1386 2813 1344 2813 1370 2813 1373 2814 1372 2814 1388 2814 1389 2815 1388 2815 1372 2815 1390 2816 1388 2816 1391 2816 1392 2817 1391 2817 1388 2817 1393 2818 1388 2818 1390 2818 1394 2819 1388 2819 1393 2819 1394 2820 1373 2820 1388 2820 1392 2821 1388 2821 1389 2821 1395 2822 1372 2822 1371 2822 1389 2823 1372 2823 1395 2823 1396 2824 1371 2824 1374 2824 1395 2825 1371 2825 1396 2825 1397 2826 1374 2826 1369 2826 1396 2827 1374 2827 1397 2827 1398 2828 1369 2828 1387 2828 1397 2829 1369 2829 1398 2829 1399 2830 1387 2830 1345 2830 1398 2831 1387 2831 1399 2831 1400 2832 1401 2832 1345 2832 1402 2833 1345 2833 1401 2833 1337 2834 1400 2834 1345 2834 1399 2835 1345 2835 1402 2835 1403 2836 1404 2836 1401 2836 1405 2837 1401 2837 1404 2837 1400 2838 1403 2838 1401 2838 1405 2839 1402 2839 1401 2839 1406 2840 1407 2840 1404 2840 1408 2841 1404 2841 1407 2841 1403 2842 1406 2842 1404 2842 1405 2843 1404 2843 1408 2843 1409 2844 1410 2844 1407 2844 1411 2845 1407 2845 1410 2845 1406 2846 1409 2846 1407 2846 1408 2847 1407 2847 1411 2847 1412 2848 1391 2848 1410 2848 1413 2849 1410 2849 1391 2849 1409 2850 1412 2850 1410 2850 1411 2851 1410 2851 1413 2851 1412 2852 1390 2852 1391 2852 1413 2853 1391 2853 1392 2853 1393 2854 1414 2854 1415 2854 1416 2855 1415 2855 1414 2855 1393 2856 1415 2856 1417 2856 1418 2857 1417 2857 1415 2857 1418 2858 1415 2858 1416 2858 1393 2859 1390 2859 1414 2859 1419 2860 1414 2860 1390 2860 1416 2861 1414 2861 1419 2861 1420 2862 1390 2862 1412 2862 1419 2863 1390 2863 1420 2863 1421 2864 1412 2864 1409 2864 1420 2865 1412 2865 1421 2865 1422 2866 1409 2866 1406 2866 1421 2867 1409 2867 1422 2867 1423 2868 1406 2868 1403 2868 1422 2869 1406 2869 1423 2869 1424 2870 1403 2870 1400 2870 1423 2871 1403 2871 1424 2871 1425 2872 1400 2872 1337 2872 1425 2873 1424 2873 1400 2873 1393 2874 1426 2874 1337 2874 1427 2875 1337 2875 1426 2875 1393 2876 1337 2876 1340 2876 1425 2877 1337 2877 1427 2877 1393 2878 1428 2878 1426 2878 1429 2879 1426 2879 1428 2879 1427 2880 1426 2880 1429 2880 1393 2881 1417 2881 1428 2881 1430 2882 1428 2882 1417 2882 1429 2883 1428 2883 1430 2883 1430 2884 1417 2884 1418 2884 1393 2885 1431 2885 1432 2885 1433 2886 1432 2886 1431 2886 1393 2887 1432 2887 1434 2887 1435 2888 1434 2888 1432 2888 1435 2889 1432 2889 1433 2889 1393 2890 1436 2890 1431 2890 1437 2891 1431 2891 1436 2891 1433 2892 1431 2892 1437 2892 1393 2893 1340 2893 1436 2893 1438 2894 1436 2894 1340 2894 1437 2895 1436 2895 1438 2895 1439 2896 1340 2896 1333 2896 1438 2897 1340 2897 1439 2897 1440 2898 1333 2898 1336 2898 1439 2899 1333 2899 1440 2899 1441 2900 1336 2900 1324 2900 1440 2901 1336 2901 1441 2901 1442 2902 1324 2902 1327 2902 1441 2903 1324 2903 1442 2903 1443 2904 1327 2904 1328 2904 1443 2905 1442 2905 1327 2905 1444 2906 1328 2906 1329 2906 1443 2907 1328 2907 1444 2907 1445 2908 1329 2908 1330 2908 1444 2909 1329 2909 1445 2909 1331 2910 1434 2910 1330 2910 1446 2911 1330 2911 1434 2911 1445 2912 1330 2912 1446 2912 1393 2913 1434 2913 1331 2913 1446 2914 1434 2914 1435 2914 1447 2915 1448 2915 1449 2915 1450 2916 1449 2916 1448 2916 1451 2917 1449 2917 1317 2917 1452 2918 1317 2918 1449 2918 1453 2919 1454 2919 1449 2919 1447 2920 1449 2920 1454 2920 1455 2921 1453 2921 1449 2921 1451 2922 1455 2922 1449 2922 1452 2923 1449 2923 1450 2923 1393 2924 1456 2924 1448 2924 1457 2925 1448 2925 1456 2925 1447 2926 1393 2926 1448 2926 1450 2927 1448 2927 1457 2927 1393 2928 1458 2928 1456 2928 1459 2929 1456 2929 1458 2929 1457 2930 1456 2930 1459 2930 1393 2931 1331 2931 1458 2931 1460 2932 1458 2932 1331 2932 1459 2933 1458 2933 1460 2933 1461 2934 1331 2934 1332 2934 1460 2935 1331 2935 1461 2935 1462 2936 1332 2936 1319 2936 1461 2937 1332 2937 1462 2937 1463 2938 1319 2938 1322 2938 1462 2939 1319 2939 1463 2939 1464 2940 1322 2940 1323 2940 1464 2941 1463 2941 1322 2941 1465 2942 1323 2942 1313 2942 1464 2943 1323 2943 1465 2943 1466 2944 1313 2944 1316 2944 1465 2945 1313 2945 1466 2945 1467 2946 1316 2946 1317 2946 1466 2947 1316 2947 1467 2947 1468 2948 1451 2948 1317 2948 1318 2949 1468 2949 1317 2949 1467 2950 1317 2950 1452 2950 1447 2951 1454 2951 1469 2951 1470 2952 1469 2952 1454 2952 1471 2953 1469 2953 1472 2953 1473 2954 1472 2954 1469 2954 1348 2955 1469 2955 1471 2955 1348 2956 1447 2956 1469 2956 1473 2957 1469 2957 1470 2957 1474 2958 1454 2958 1453 2958 1470 2959 1454 2959 1474 2959 1475 2960 1453 2960 1455 2960 1474 2961 1453 2961 1475 2961 1476 2962 1455 2962 1451 2962 1475 2963 1455 2963 1476 2963 1477 2964 1451 2964 1468 2964 1476 2965 1451 2965 1477 2965 1478 2966 1468 2966 1318 2966 1477 2967 1468 2967 1478 2967 1479 2968 1480 2968 1318 2968 1481 2969 1318 2969 1480 2969 1309 2970 1479 2970 1318 2970 1478 2971 1318 2971 1481 2971 1482 2972 1483 2972 1480 2972 1484 2973 1480 2973 1483 2973 1479 2974 1482 2974 1480 2974 1484 2975 1481 2975 1480 2975 1485 2976 1486 2976 1483 2976 1487 2977 1483 2977 1486 2977 1482 2978 1485 2978 1483 2978 1484 2979 1483 2979 1487 2979 1488 2980 1489 2980 1486 2980 1490 2981 1486 2981 1489 2981 1485 2982 1488 2982 1486 2982 1487 2983 1486 2983 1490 2983 1491 2984 1472 2984 1489 2984 1492 2985 1489 2985 1472 2985 1488 2986 1491 2986 1489 2986 1490 2987 1489 2987 1492 2987 1491 2988 1471 2988 1472 2988 1492 2989 1472 2989 1473 2989 1348 2990 1493 2990 1494 2990 1495 2991 1494 2991 1493 2991 1348 2992 1494 2992 1496 2992 1497 2993 1496 2993 1494 2993 1497 2994 1494 2994 1495 2994 1348 2995 1471 2995 1493 2995 1498 2996 1493 2996 1471 2996 1495 2997 1493 2997 1498 2997 1499 2998 1471 2998 1491 2998 1498 2999 1471 2999 1499 2999 1500 3000 1491 3000 1488 3000 1499 3001 1491 3001 1500 3001 1501 3002 1488 3002 1485 3002 1500 3003 1488 3003 1501 3003 1502 3004 1485 3004 1482 3004 1501 3005 1485 3005 1502 3005 1503 3006 1482 3006 1479 3006 1502 3007 1482 3007 1503 3007 1504 3008 1479 3008 1309 3008 1504 3009 1503 3009 1479 3009 1348 3010 1505 3010 1309 3010 1506 3011 1309 3011 1505 3011 1504 3012 1309 3012 1506 3012 1348 3013 1507 3013 1505 3013 1508 3014 1505 3014 1507 3014 1506 3015 1505 3015 1508 3015 1348 3016 1496 3016 1507 3016 1509 3017 1507 3017 1496 3017 1508 3018 1507 3018 1509 3018 1509 3019 1496 3019 1497 3019 1510 3020 1393 3020 1447 3020 1511 3021 1394 3021 1393 3021 1512 3022 1393 3022 1513 3022 1514 3023 1513 3023 1393 3023 1511 3024 1393 3024 1512 3024 1510 3025 1515 3025 1393 3025 1514 3026 1393 3026 1515 3026 1516 3027 1447 3027 1348 3027 1517 3028 1447 3028 1516 3028 1518 3029 1510 3029 1447 3029 1519 3030 1518 3030 1447 3030 1520 3031 1519 3031 1447 3031 1521 3032 1520 3032 1447 3032 1522 3033 1521 3033 1447 3033 1523 3034 1447 3034 1517 3034 1524 3035 1447 3035 1523 3035 1524 3036 1525 3036 1447 3036 1526 3037 1447 3037 1525 3037 1527 3038 1447 3038 1526 3038 1527 3039 1522 3039 1447 3039 1528 3040 1348 3040 1365 3040 1529 3041 1348 3041 1530 3041 1531 3042 1530 3042 1348 3042 1516 3043 1348 3043 1529 3043 1532 3044 1531 3044 1348 3044 1528 3045 1532 3045 1348 3045 1533 3046 1365 3046 1373 3046 1534 3047 1365 3047 1533 3047 1535 3048 1365 3048 1534 3048 1536 3049 1365 3049 1535 3049 1536 3050 1537 3050 1365 3050 1538 3051 1365 3051 1537 3051 1539 3052 1365 3052 1538 3052 1539 3053 1540 3053 1365 3053 1541 3054 1365 3054 1540 3054 1542 3055 1528 3055 1365 3055 1543 3056 1542 3056 1365 3056 1544 3057 1543 3057 1365 3057 1541 3058 1544 3058 1365 3058 1545 3059 1546 3059 1373 3059 1547 3060 1373 3060 1546 3060 1394 3061 1545 3061 1373 3061 1547 3062 1533 3062 1373 3062 1548 3063 1549 3063 1546 3063 1550 3064 1546 3064 1549 3064 1545 3065 1548 3065 1546 3065 1550 3066 1547 3066 1546 3066 1551 3067 1552 3067 1549 3067 1553 3068 1549 3068 1552 3068 1548 3069 1551 3069 1549 3069 1550 3070 1549 3070 1553 3070 1554 3071 1552 3071 1551 3071 1553 3072 1552 3072 1555 3072 1556 3073 1555 3073 1552 3073 1554 3074 1556 3074 1552 3074 1557 3075 1551 3075 1548 3075 1558 3076 1551 3076 1557 3076 1554 3077 1551 3077 1558 3077 1559 3078 1548 3078 1545 3078 1557 3079 1548 3079 1559 3079 1560 3080 1545 3080 1394 3080 1560 3081 1559 3081 1545 3081 1560 3082 1394 3082 1511 3082 1561 3083 1298 3083 1295 3083 1562 3084 1295 3084 1307 3084 1563 3085 1561 3085 1295 3085 1564 3086 1563 3086 1295 3086 1565 3087 1564 3087 1295 3087 1566 3088 1565 3088 1295 3088 1562 3089 1566 3089 1295 3089 1567 3090 1342 3090 1298 3090 1568 3091 1567 3091 1298 3091 1561 3092 1568 3092 1298 3092 1569 3093 1339 3093 1342 3093 1570 3094 1342 3094 1567 3094 1570 3095 1569 3095 1342 3095 1571 3096 1335 3096 1339 3096 1569 3097 1572 3097 1339 3097 1573 3098 1339 3098 1572 3098 1573 3099 1571 3099 1339 3099 1574 3100 1326 3100 1335 3100 1575 3101 1576 3101 1335 3101 1577 3102 1335 3102 1576 3102 1571 3103 1575 3103 1335 3103 1574 3104 1335 3104 1577 3104 1578 3105 1321 3105 1326 3105 1579 3106 1578 3106 1326 3106 1580 3107 1579 3107 1326 3107 1581 3108 1580 3108 1326 3108 1582 3109 1581 3109 1326 3109 1574 3110 1582 3110 1326 3110 1583 3111 1315 3111 1321 3111 1584 3112 1583 3112 1321 3112 1578 3113 1584 3113 1321 3113 1585 3114 1311 3114 1315 3114 1586 3115 1315 3115 1583 3115 1586 3116 1585 3116 1315 3116 1587 3117 1307 3117 1311 3117 1588 3118 1311 3118 1589 3118 1585 3119 1589 3119 1311 3119 1588 3120 1587 3120 1311 3120 1590 3121 1591 3121 1307 3121 1592 3122 1307 3122 1591 3122 1587 3123 1590 3123 1307 3123 1562 3124 1307 3124 1592 3124 1593 3125 1572 3125 1594 3125 1595 3126 1594 3126 1572 3126 1596 3127 1594 3127 1583 3127 1597 3128 1583 3128 1594 3128 1598 3129 1593 3129 1594 3129 1576 3130 1598 3130 1594 3130 1577 3131 1576 3131 1594 3131 1599 3132 1577 3132 1594 3132 1596 3133 1599 3133 1594 3133 1597 3134 1594 3134 1595 3134 1600 3135 1601 3135 1572 3135 1602 3136 1572 3136 1601 3136 1603 3137 1572 3137 1569 3137 1604 3138 1600 3138 1572 3138 1603 3139 1604 3139 1572 3139 1573 3140 1572 3140 1593 3140 1602 3141 1595 3141 1572 3141 1605 3142 1606 3142 1601 3142 1607 3143 1601 3143 1606 3143 1608 3144 1605 3144 1601 3144 1609 3145 1601 3145 1600 3145 1608 3146 1601 3146 1609 3146 1607 3147 1602 3147 1601 3147 1610 3148 1606 3148 1605 3148 1610 3149 1607 3149 1606 3149 1570 3150 1567 3150 1605 3150 1611 3151 1605 3151 1567 3151 1612 3152 1605 3152 1613 3152 1614 3153 1613 3153 1605 3153 1612 3154 1570 3154 1605 3154 1608 3155 1614 3155 1605 3155 1611 3156 1610 3156 1605 3156 1615 3157 1616 3157 1567 3157 1617 3158 1567 3158 1616 3158 1568 3159 1618 3159 1567 3159 1619 3160 1567 3160 1618 3160 1615 3161 1567 3161 1619 3161 1617 3162 1611 3162 1567 3162 1620 3163 1589 3163 1616 3163 1621 3164 1616 3164 1589 3164 1622 3165 1620 3165 1616 3165 1591 3166 1622 3166 1616 3166 1592 3167 1591 3167 1616 3167 1623 3168 1592 3168 1616 3168 1615 3169 1623 3169 1616 3169 1621 3170 1617 3170 1616 3170 1624 3171 1625 3171 1589 3171 1626 3172 1589 3172 1625 3172 1588 3173 1589 3173 1620 3173 1627 3174 1589 3174 1585 3174 1628 3175 1624 3175 1589 3175 1627 3176 1628 3176 1589 3176 1626 3177 1621 3177 1589 3177 1629 3178 1630 3178 1625 3178 1631 3179 1625 3179 1630 3179 1632 3180 1629 3180 1625 3180 1633 3181 1625 3181 1624 3181 1632 3182 1625 3182 1633 3182 1626 3183 1625 3183 1631 3183 1634 3184 1630 3184 1629 3184 1631 3185 1630 3185 1634 3185 1586 3186 1583 3186 1629 3186 1635 3187 1629 3187 1583 3187 1636 3188 1629 3188 1637 3188 1638 3189 1637 3189 1629 3189 1636 3190 1586 3190 1629 3190 1632 3191 1638 3191 1629 3191 1634 3192 1629 3192 1635 3192 1584 3193 1639 3193 1583 3193 1640 3194 1583 3194 1639 3194 1596 3195 1583 3195 1640 3195 1635 3196 1583 3196 1597 3196 1351 3197 1620 3197 1622 3197 1356 3198 1588 3198 1620 3198 1355 3199 1356 3199 1620 3199 1351 3200 1355 3200 1620 3200 1364 3201 1622 3201 1591 3201 1353 3202 1351 3202 1622 3202 1364 3203 1353 3203 1622 3203 1362 3204 1591 3204 1590 3204 1363 3205 1364 3205 1591 3205 1362 3206 1363 3206 1591 3206 1360 3207 1590 3207 1587 3207 1361 3208 1590 3208 1360 3208 1361 3209 1362 3209 1590 3209 1358 3210 1587 3210 1588 3210 1359 3211 1360 3211 1587 3211 1358 3212 1359 3212 1587 3212 1357 3213 1358 3213 1588 3213 1356 3214 1357 3214 1588 3214 1368 3215 1618 3215 1568 3215 1378 3216 1619 3216 1618 3216 1376 3217 1378 3217 1618 3217 1368 3218 1376 3218 1618 3218 1386 3219 1568 3219 1561 3219 1370 3220 1368 3220 1568 3220 1386 3221 1370 3221 1568 3221 1384 3222 1561 3222 1563 3222 1385 3223 1386 3223 1561 3223 1384 3224 1385 3224 1561 3224 1382 3225 1563 3225 1564 3225 1383 3226 1563 3226 1382 3226 1383 3227 1384 3227 1563 3227 1565 3228 1619 3228 1564 3228 1380 3229 1564 3229 1619 3229 1381 3230 1382 3230 1564 3230 1380 3231 1381 3231 1564 3231 1565 3232 1615 3232 1619 3232 1379 3233 1380 3233 1619 3233 1378 3234 1379 3234 1619 3234 1641 3235 1642 3235 1613 3235 1389 3236 1613 3236 1642 3236 1396 3237 1612 3237 1613 3237 1614 3238 1641 3238 1613 3238 1395 3239 1396 3239 1613 3239 1389 3240 1395 3240 1613 3240 1641 3241 1643 3241 1642 3241 1413 3242 1642 3242 1643 3242 1392 3243 1389 3243 1642 3243 1413 3244 1392 3244 1642 3244 1644 3245 1569 3245 1643 3245 1408 3246 1643 3246 1569 3246 1644 3247 1643 3247 1641 3247 1411 3248 1413 3248 1643 3248 1408 3249 1411 3249 1643 3249 1402 3250 1569 3250 1570 3250 1644 3251 1603 3251 1569 3251 1405 3252 1569 3252 1402 3252 1405 3253 1408 3253 1569 3253 1398 3254 1570 3254 1612 3254 1399 3255 1402 3255 1570 3255 1398 3256 1399 3256 1570 3256 1397 3257 1398 3257 1612 3257 1396 3258 1397 3258 1612 3258 1416 3259 1600 3259 1604 3259 1420 3260 1609 3260 1600 3260 1419 3261 1420 3261 1600 3261 1416 3262 1419 3262 1600 3262 1430 3263 1604 3263 1603 3263 1418 3264 1416 3264 1604 3264 1430 3265 1418 3265 1604 3265 1645 3266 1646 3266 1603 3266 1427 3267 1603 3267 1646 3267 1644 3268 1645 3268 1603 3268 1429 3269 1430 3269 1603 3269 1427 3270 1429 3270 1603 3270 1647 3271 1648 3271 1646 3271 1424 3272 1646 3272 1648 3272 1645 3273 1647 3273 1646 3273 1425 3274 1646 3274 1424 3274 1425 3275 1427 3275 1646 3275 1608 3276 1609 3276 1648 3276 1422 3277 1648 3277 1609 3277 1647 3278 1608 3278 1648 3278 1423 3279 1424 3279 1648 3279 1422 3280 1423 3280 1648 3280 1421 3281 1422 3281 1609 3281 1420 3282 1421 3282 1609 3282 1433 3283 1593 3283 1598 3283 1438 3284 1573 3284 1593 3284 1437 3285 1438 3285 1593 3285 1433 3286 1437 3286 1593 3286 1446 3287 1598 3287 1576 3287 1435 3288 1433 3288 1598 3288 1446 3289 1435 3289 1598 3289 1444 3290 1576 3290 1575 3290 1445 3291 1446 3291 1576 3291 1444 3292 1445 3292 1576 3292 1442 3293 1575 3293 1571 3293 1443 3294 1575 3294 1442 3294 1443 3295 1444 3295 1575 3295 1440 3296 1571 3296 1573 3296 1441 3297 1442 3297 1571 3297 1440 3298 1441 3298 1571 3298 1439 3299 1440 3299 1573 3299 1438 3300 1439 3300 1573 3300 1450 3301 1639 3301 1584 3301 1459 3302 1640 3302 1639 3302 1457 3303 1459 3303 1639 3303 1450 3304 1457 3304 1639 3304 1467 3305 1584 3305 1578 3305 1452 3306 1450 3306 1584 3306 1467 3307 1452 3307 1584 3307 1465 3308 1578 3308 1579 3308 1466 3309 1467 3309 1578 3309 1465 3310 1466 3310 1578 3310 1463 3311 1579 3311 1580 3311 1464 3312 1579 3312 1463 3312 1464 3313 1465 3313 1579 3313 1581 3314 1640 3314 1580 3314 1461 3315 1580 3315 1640 3315 1462 3316 1463 3316 1580 3316 1461 3317 1462 3317 1580 3317 1581 3318 1596 3318 1640 3318 1460 3319 1461 3319 1640 3319 1459 3320 1460 3320 1640 3320 1649 3321 1650 3321 1637 3321 1470 3322 1637 3322 1650 3322 1475 3323 1636 3323 1637 3323 1638 3324 1649 3324 1637 3324 1474 3325 1475 3325 1637 3325 1470 3326 1474 3326 1637 3326 1649 3327 1651 3327 1650 3327 1492 3328 1650 3328 1651 3328 1473 3329 1470 3329 1650 3329 1492 3330 1473 3330 1650 3330 1652 3331 1585 3331 1651 3331 1487 3332 1651 3332 1585 3332 1652 3333 1651 3333 1649 3333 1490 3334 1492 3334 1651 3334 1487 3335 1490 3335 1651 3335 1481 3336 1585 3336 1586 3336 1652 3337 1627 3337 1585 3337 1484 3338 1585 3338 1481 3338 1484 3339 1487 3339 1585 3339 1477 3340 1586 3340 1636 3340 1478 3341 1481 3341 1586 3341 1477 3342 1478 3342 1586 3342 1476 3343 1477 3343 1636 3343 1475 3344 1476 3344 1636 3344 1495 3345 1624 3345 1628 3345 1499 3346 1633 3346 1624 3346 1498 3347 1499 3347 1624 3347 1495 3348 1498 3348 1624 3348 1509 3349 1628 3349 1627 3349 1497 3350 1495 3350 1628 3350 1509 3351 1497 3351 1628 3351 1653 3352 1654 3352 1627 3352 1506 3353 1627 3353 1654 3353 1652 3354 1653 3354 1627 3354 1508 3355 1509 3355 1627 3355 1506 3356 1508 3356 1627 3356 1655 3357 1656 3357 1654 3357 1503 3358 1654 3358 1656 3358 1653 3359 1655 3359 1654 3359 1504 3360 1654 3360 1503 3360 1504 3361 1506 3361 1654 3361 1632 3362 1633 3362 1656 3362 1501 3363 1656 3363 1633 3363 1655 3364 1632 3364 1656 3364 1502 3365 1503 3365 1656 3365 1501 3366 1502 3366 1656 3366 1500 3367 1501 3367 1633 3367 1499 3368 1500 3368 1633 3368 1657 3369 1641 3369 1614 3369 1658 3370 1644 3370 1641 3370 1658 3371 1641 3371 1657 3371 1659 3372 1614 3372 1608 3372 1659 3373 1657 3373 1614 3373 1660 3374 1608 3374 1647 3374 1659 3375 1608 3375 1660 3375 1661 3376 1647 3376 1645 3376 1660 3377 1647 3377 1661 3377 1662 3378 1645 3378 1644 3378 1661 3379 1645 3379 1662 3379 1662 3380 1644 3380 1658 3380 1663 3381 1577 3381 1599 3381 1664 3382 1574 3382 1577 3382 1664 3383 1577 3383 1663 3383 1665 3384 1599 3384 1596 3384 1665 3385 1663 3385 1599 3385 1666 3386 1596 3386 1581 3386 1665 3387 1596 3387 1666 3387 1667 3388 1581 3388 1582 3388 1666 3389 1581 3389 1667 3389 1668 3390 1582 3390 1574 3390 1667 3391 1582 3391 1668 3391 1668 3392 1574 3392 1664 3392 1669 3393 1649 3393 1638 3393 1670 3394 1652 3394 1649 3394 1670 3395 1649 3395 1669 3395 1671 3396 1638 3396 1632 3396 1671 3397 1669 3397 1638 3397 1672 3398 1632 3398 1655 3398 1671 3399 1632 3399 1672 3399 1673 3400 1655 3400 1653 3400 1672 3401 1655 3401 1673 3401 1674 3402 1653 3402 1652 3402 1673 3403 1653 3403 1674 3403 1674 3404 1652 3404 1670 3404 1675 3405 1592 3405 1623 3405 1676 3406 1562 3406 1592 3406 1676 3407 1592 3407 1675 3407 1677 3408 1623 3408 1615 3408 1677 3409 1675 3409 1623 3409 1678 3410 1615 3410 1565 3410 1677 3411 1615 3411 1678 3411 1679 3412 1565 3412 1566 3412 1678 3413 1565 3413 1679 3413 1680 3414 1566 3414 1562 3414 1679 3415 1566 3415 1680 3415 1680 3416 1562 3416 1676 3416 1681 3417 1529 3417 1530 3417 1517 3418 1681 3418 1530 3418 1517 3419 1530 3419 1531 3419 1681 3420 1516 3420 1529 3420 1517 3421 1516 3421 1681 3421 1534 3422 1533 3422 1682 3422 1547 3423 1682 3423 1533 3423 1683 3424 1534 3424 1682 3424 1547 3425 1683 3425 1682 3425 1684 3426 1534 3426 1531 3426 1621 3427 1531 3427 1534 3427 1685 3428 1684 3428 1531 3428 1686 3429 1685 3429 1531 3429 1687 3430 1686 3430 1531 3430 1688 3431 1687 3431 1531 3431 1689 3432 1688 3432 1531 3432 1690 3433 1531 3433 1532 3433 1690 3434 1691 3434 1531 3434 1692 3435 1531 3435 1691 3435 1693 3436 1531 3436 1692 3436 1693 3437 1689 3437 1531 3437 1634 3438 1517 3438 1531 3438 1626 3439 1531 3439 1621 3439 1631 3440 1634 3440 1531 3440 1626 3441 1631 3441 1531 3441 1684 3442 1535 3442 1534 3442 1694 3443 1534 3443 1683 3443 1611 3444 1534 3444 1610 3444 1694 3445 1610 3445 1534 3445 1617 3446 1534 3446 1611 3446 1621 3447 1534 3447 1617 3447 1695 3448 1535 3448 1684 3448 1696 3449 1536 3449 1535 3449 1696 3450 1535 3450 1695 3450 1697 3451 1684 3451 1685 3451 1697 3452 1695 3452 1684 3452 1686 3453 1698 3453 1685 3453 1699 3454 1685 3454 1698 3454 1697 3455 1685 3455 1699 3455 1538 3456 1537 3456 1698 3456 1700 3457 1698 3457 1537 3457 1686 3458 1538 3458 1698 3458 1699 3459 1698 3459 1700 3459 1701 3460 1537 3460 1536 3460 1700 3461 1537 3461 1701 3461 1701 3462 1536 3462 1696 3462 1702 3463 1538 3463 1686 3463 1703 3464 1539 3464 1538 3464 1703 3465 1538 3465 1702 3465 1704 3466 1686 3466 1687 3466 1704 3467 1702 3467 1686 3467 1705 3468 1687 3468 1688 3468 1704 3469 1687 3469 1705 3469 1541 3470 1540 3470 1688 3470 1706 3471 1688 3471 1540 3471 1689 3472 1541 3472 1688 3472 1705 3473 1688 3473 1706 3473 1707 3474 1540 3474 1539 3474 1706 3475 1540 3475 1707 3475 1707 3476 1539 3476 1703 3476 1708 3477 1532 3477 1528 3477 1709 3478 1690 3478 1532 3478 1709 3479 1532 3479 1708 3479 1710 3480 1528 3480 1542 3480 1708 3481 1528 3481 1710 3481 1543 3482 1711 3482 1542 3482 1712 3483 1542 3483 1711 3483 1710 3484 1542 3484 1712 3484 1692 3485 1691 3485 1711 3485 1713 3486 1711 3486 1691 3486 1543 3487 1692 3487 1711 3487 1712 3488 1711 3488 1713 3488 1714 3489 1691 3489 1690 3489 1714 3490 1713 3490 1691 3490 1714 3491 1690 3491 1709 3491 1715 3492 1692 3492 1543 3492 1716 3493 1693 3493 1692 3493 1716 3494 1692 3494 1715 3494 1717 3495 1543 3495 1544 3495 1715 3496 1543 3496 1717 3496 1718 3497 1544 3497 1541 3497 1717 3498 1544 3498 1718 3498 1719 3499 1541 3499 1689 3499 1718 3500 1541 3500 1719 3500 1720 3501 1689 3501 1693 3501 1720 3502 1719 3502 1689 3502 1720 3503 1693 3503 1716 3503 1550 3504 1683 3504 1547 3504 1721 3505 1694 3505 1683 3505 1721 3506 1683 3506 1550 3506 1722 3507 1512 3507 1513 3507 1723 3508 1722 3508 1513 3508 1723 3509 1513 3509 1514 3509 1722 3510 1511 3510 1512 3510 1724 3511 1511 3511 1722 3511 1724 3512 1560 3512 1511 3512 1725 3513 1722 3513 1723 3513 1724 3514 1722 3514 1725 3514 1726 3515 1515 3515 1510 3515 1514 3516 1515 3516 1727 3516 1728 3517 1727 3517 1515 3517 1728 3518 1515 3518 1726 3518 1729 3519 1510 3519 1518 3519 1726 3520 1510 3520 1729 3520 1519 3521 1730 3521 1518 3521 1731 3522 1518 3522 1730 3522 1729 3523 1518 3523 1731 3523 1732 3524 1733 3524 1730 3524 1734 3525 1730 3525 1733 3525 1519 3526 1732 3526 1730 3526 1731 3527 1730 3527 1734 3527 1514 3528 1727 3528 1733 3528 1735 3529 1733 3529 1727 3529 1514 3530 1733 3530 1732 3530 1735 3531 1734 3531 1733 3531 1735 3532 1727 3532 1728 3532 1736 3533 1732 3533 1519 3533 1514 3534 1732 3534 1737 3534 1738 3535 1737 3535 1732 3535 1738 3536 1732 3536 1736 3536 1739 3537 1519 3537 1520 3537 1736 3538 1519 3538 1739 3538 1740 3539 1520 3539 1521 3539 1739 3540 1520 3540 1740 3540 1741 3541 1742 3541 1521 3541 1743 3542 1521 3542 1742 3542 1522 3543 1741 3543 1521 3543 1740 3544 1521 3544 1743 3544 1514 3545 1737 3545 1742 3545 1744 3546 1742 3546 1737 3546 1741 3547 1514 3547 1742 3547 1744 3548 1743 3548 1742 3548 1744 3549 1737 3549 1738 3549 1745 3550 1517 3550 1514 3550 1595 3551 1514 3551 1517 3551 1746 3552 1745 3552 1514 3552 1747 3553 1746 3553 1514 3553 1748 3554 1747 3554 1514 3554 1741 3555 1748 3555 1514 3555 1602 3556 1514 3556 1595 3556 1723 3557 1514 3557 1602 3557 1745 3558 1523 3558 1517 3558 1597 3559 1595 3559 1517 3559 1635 3560 1597 3560 1517 3560 1634 3561 1635 3561 1517 3561 1749 3562 1523 3562 1745 3562 1750 3563 1524 3563 1523 3563 1750 3564 1523 3564 1749 3564 1751 3565 1745 3565 1746 3565 1751 3566 1749 3566 1745 3566 1747 3567 1752 3567 1746 3567 1753 3568 1746 3568 1752 3568 1751 3569 1746 3569 1753 3569 1526 3570 1525 3570 1752 3570 1754 3571 1752 3571 1525 3571 1747 3572 1526 3572 1752 3572 1753 3573 1752 3573 1754 3573 1755 3574 1525 3574 1524 3574 1754 3575 1525 3575 1755 3575 1755 3576 1524 3576 1750 3576 1756 3577 1526 3577 1747 3577 1757 3578 1527 3578 1526 3578 1757 3579 1526 3579 1756 3579 1758 3580 1747 3580 1748 3580 1758 3581 1756 3581 1747 3581 1759 3582 1748 3582 1741 3582 1758 3583 1748 3583 1759 3583 1760 3584 1741 3584 1522 3584 1759 3585 1741 3585 1760 3585 1761 3586 1522 3586 1527 3586 1760 3587 1522 3587 1761 3587 1761 3588 1527 3588 1757 3588 1723 3589 1602 3589 1607 3589 1723 3590 1607 3590 1610 3590 1723 3591 1610 3591 1694 3591 1762 3592 1723 3592 1694 3592 1721 3593 1762 3593 1694 3593 1762 3594 1725 3594 1723 3594 1763 3595 1764 3595 1725 3595 1724 3596 1725 3596 1764 3596 1762 3597 1763 3597 1725 3597 1765 3598 1766 3598 1764 3598 1767 3599 1764 3599 1766 3599 1763 3600 1765 3600 1764 3600 1724 3601 1764 3601 1767 3601 1768 3602 1766 3602 1765 3602 1767 3603 1766 3603 1769 3603 1770 3604 1769 3604 1766 3604 1770 3605 1766 3605 1768 3605 1771 3606 1765 3606 1763 3606 1772 3607 1765 3607 1771 3607 1768 3608 1765 3608 1772 3608 1773 3609 1763 3609 1762 3609 1771 3610 1763 3610 1773 3610 1721 3611 1773 3611 1762 3611 1731 3612 1734 3612 1774 3612 1735 3613 1774 3613 1734 3613 1729 3614 1731 3614 1774 3614 1726 3615 1729 3615 1774 3615 1728 3616 1726 3616 1774 3616 1735 3617 1728 3617 1774 3617 1740 3618 1743 3618 1775 3618 1744 3619 1775 3619 1743 3619 1739 3620 1740 3620 1775 3620 1736 3621 1739 3621 1775 3621 1738 3622 1736 3622 1775 3622 1744 3623 1738 3623 1775 3623 1776 3624 1777 3624 1778 3624 1779 3625 1778 3625 1777 3625 1780 3626 1776 3626 1778 3626 1780 3627 1778 3627 1779 3627 1776 3628 1781 3628 1777 3628 1782 3629 1777 3629 1781 3629 1782 3630 1779 3630 1777 3630 1556 3631 1781 3631 1776 3631 1783 3632 1782 3632 1781 3632 1554 3633 1783 3633 1781 3633 1554 3634 1781 3634 1556 3634 1784 3635 1776 3635 1780 3635 1556 3636 1776 3636 1784 3636 1785 3637 1779 3637 1786 3637 1782 3638 1786 3638 1779 3638 1787 3639 1785 3639 1786 3639 1788 3640 1786 3640 1782 3640 1789 3641 1786 3641 1788 3641 1787 3642 1786 3642 1789 3642 1785 3643 1780 3643 1779 3643 1553 3644 1784 3644 1780 3644 1771 3645 1553 3645 1780 3645 1772 3646 1771 3646 1780 3646 1785 3647 1772 3647 1780 3647 1553 3648 1555 3648 1784 3648 1556 3649 1784 3649 1555 3649 1771 3650 1773 3650 1553 3650 1721 3651 1553 3651 1773 3651 1721 3652 1550 3652 1553 3652 1768 3653 1772 3653 1785 3653 1768 3654 1785 3654 1787 3654 1783 3655 1788 3655 1782 3655 1783 3656 1790 3656 1788 3656 1791 3657 1788 3657 1790 3657 1789 3658 1788 3658 1791 3658 1783 3659 1792 3659 1790 3659 1793 3660 1790 3660 1792 3660 1793 3661 1791 3661 1790 3661 1783 3662 1769 3662 1792 3662 1770 3663 1792 3663 1769 3663 1770 3664 1793 3664 1792 3664 1783 3665 1767 3665 1769 3665 1557 3666 1559 3666 1767 3666 1560 3667 1767 3667 1559 3667 1558 3668 1557 3668 1767 3668 1783 3669 1558 3669 1767 3669 1724 3670 1767 3670 1560 3670 1554 3671 1558 3671 1783 3671 1793 3672 1789 3672 1791 3672 1793 3673 1787 3673 1789 3673 1770 3674 1787 3674 1793 3674 1770 3675 1768 3675 1787 3675 1662 3676 1658 3676 1657 3676 1661 3677 1662 3677 1657 3677 1659 3678 1661 3678 1657 3678 1659 3679 1660 3679 1661 3679 1668 3680 1664 3680 1663 3680 1667 3681 1668 3681 1663 3681 1665 3682 1667 3682 1663 3682 1665 3683 1666 3683 1667 3683 1674 3684 1670 3684 1669 3684 1673 3685 1674 3685 1669 3685 1671 3686 1673 3686 1669 3686 1671 3687 1672 3687 1673 3687 1680 3688 1676 3688 1675 3688 1679 3689 1680 3689 1675 3689 1677 3690 1679 3690 1675 3690 1677 3691 1678 3691 1679 3691 1750 3692 1749 3692 1794 3692 1751 3693 1794 3693 1749 3693 1755 3694 1750 3694 1794 3694 1754 3695 1755 3695 1794 3695 1753 3696 1754 3696 1794 3696 1751 3697 1753 3697 1794 3697 1757 3698 1756 3698 1795 3698 1758 3699 1795 3699 1756 3699 1761 3700 1757 3700 1795 3700 1760 3701 1761 3701 1795 3701 1759 3702 1760 3702 1795 3702 1758 3703 1759 3703 1795 3703 1696 3704 1695 3704 1796 3704 1697 3705 1796 3705 1695 3705 1701 3706 1696 3706 1796 3706 1700 3707 1701 3707 1796 3707 1699 3708 1700 3708 1796 3708 1697 3709 1699 3709 1796 3709 1703 3710 1702 3710 1797 3710 1704 3711 1797 3711 1702 3711 1707 3712 1703 3712 1797 3712 1706 3713 1707 3713 1797 3713 1705 3714 1706 3714 1797 3714 1704 3715 1705 3715 1797 3715 1712 3716 1713 3716 1798 3716 1714 3717 1798 3717 1713 3717 1710 3718 1712 3718 1798 3718 1708 3719 1710 3719 1798 3719 1709 3720 1708 3720 1798 3720 1714 3721 1709 3721 1798 3721 1718 3722 1719 3722 1799 3722 1720 3723 1799 3723 1719 3723 1717 3724 1718 3724 1799 3724 1715 3725 1717 3725 1799 3725 1716 3726 1715 3726 1799 3726 1720 3727 1716 3727 1799 3727 1800 3728 1801 3728 1802 3728 1803 3729 1802 3729 1801 3729 1804 3730 1802 3730 1805 3730 1806 3731 1805 3731 1802 3731 1807 3732 1808 3732 1802 3732 1800 3733 1802 3733 1808 3733 1804 3734 1807 3734 1802 3734 1806 3735 1802 3735 1803 3735 1809 3736 1810 3736 1801 3736 1811 3737 1801 3737 1810 3737 1800 3738 1809 3738 1801 3738 1811 3739 1803 3739 1801 3739 1812 3740 1813 3740 1810 3740 1814 3741 1810 3741 1813 3741 1809 3742 1812 3742 1810 3742 1811 3743 1810 3743 1814 3743 1815 3744 1816 3744 1813 3744 1817 3745 1813 3745 1816 3745 1812 3746 1818 3746 1813 3746 1815 3747 1813 3747 1818 3747 1814 3748 1813 3748 1817 3748 1815 3749 1805 3749 1816 3749 1819 3750 1816 3750 1805 3750 1817 3751 1816 3751 1819 3751 1804 3752 1805 3752 1815 3752 1819 3753 1805 3753 1806 3753 1820 3754 1821 3754 1822 3754 1823 3755 1822 3755 1821 3755 1820 3756 1822 3756 1824 3756 1825 3757 1824 3757 1822 3757 1825 3758 1822 3758 1823 3758 1826 3759 1827 3759 1821 3759 1828 3760 1821 3760 1827 3760 1820 3761 1826 3761 1821 3761 1828 3762 1823 3762 1821 3762 1829 3763 1830 3763 1827 3763 1831 3764 1827 3764 1830 3764 1832 3765 1833 3765 1827 3765 1829 3766 1827 3766 1833 3766 1826 3767 1832 3767 1827 3767 1828 3768 1827 3768 1831 3768 1829 3769 1834 3769 1830 3769 1835 3770 1830 3770 1834 3770 1831 3771 1830 3771 1835 3771 1836 3772 1824 3772 1834 3772 1837 3773 1834 3773 1824 3773 1829 3774 1836 3774 1834 3774 1835 3775 1834 3775 1837 3775 1836 3776 1820 3776 1824 3776 1837 3777 1824 3777 1825 3777 1838 3778 1839 3778 1840 3778 1841 3779 1840 3779 1839 3779 1838 3780 1840 3780 1842 3780 1843 3781 1842 3781 1840 3781 1843 3782 1840 3782 1841 3782 1844 3783 1845 3783 1839 3783 1846 3784 1839 3784 1845 3784 1847 3785 1844 3785 1839 3785 1838 3786 1847 3786 1839 3786 1846 3787 1841 3787 1839 3787 1848 3788 1808 3788 1845 3788 1849 3789 1845 3789 1808 3789 1844 3790 1848 3790 1845 3790 1846 3791 1845 3791 1849 3791 1850 3792 1808 3792 1807 3792 1848 3793 1800 3793 1808 3793 1849 3794 1808 3794 1850 3794 1851 3795 1842 3795 1807 3795 1852 3796 1807 3796 1842 3796 1804 3797 1851 3797 1807 3797 1850 3798 1807 3798 1852 3798 1851 3799 1838 3799 1842 3799 1852 3800 1842 3800 1843 3800 1853 3801 1854 3801 1855 3801 1513 3802 1855 3802 1854 3802 1856 3803 1855 3803 1857 3803 1512 3804 1857 3804 1855 3804 1856 3805 1853 3805 1855 3805 1512 3806 1855 3806 1513 3806 1853 3807 1858 3807 1854 3807 1859 3808 1854 3808 1858 3808 1513 3809 1854 3809 1859 3809 1853 3810 1860 3810 1858 3810 1514 3811 1858 3811 1860 3811 1859 3812 1858 3812 1514 3812 1861 3813 1862 3813 1860 3813 1517 3814 1860 3814 1862 3814 1853 3815 1861 3815 1860 3815 1517 3816 1514 3816 1860 3816 1861 3817 1863 3817 1862 3817 1864 3818 1862 3818 1863 3818 1517 3819 1862 3819 1864 3819 1804 3820 1865 3820 1863 3820 1681 3821 1863 3821 1865 3821 1804 3822 1863 3822 1861 3822 1864 3823 1863 3823 1681 3823 1804 3824 1866 3824 1865 3824 1516 3825 1865 3825 1866 3825 1681 3826 1865 3826 1516 3826 1804 3827 1867 3827 1866 3827 1868 3828 1866 3828 1867 3828 1516 3829 1866 3829 1868 3829 1869 3830 1870 3830 1867 3830 1447 3831 1867 3831 1870 3831 1871 3832 1869 3832 1867 3832 1804 3833 1871 3833 1867 3833 1868 3834 1867 3834 1447 3834 1872 3835 1873 3835 1870 3835 1393 3836 1870 3836 1873 3836 1869 3837 1872 3837 1870 3837 1447 3838 1870 3838 1393 3838 1856 3839 1857 3839 1873 3839 1874 3840 1873 3840 1857 3840 1872 3841 1856 3841 1873 3841 1393 3842 1873 3842 1874 3842 1874 3843 1857 3843 1512 3843 1875 3844 1876 3844 1877 3844 1878 3845 1877 3845 1876 3845 1879 3846 1877 3846 1880 3846 1881 3847 1880 3847 1877 3847 1882 3848 1875 3848 1877 3848 1879 3849 1882 3849 1877 3849 1881 3850 1877 3850 1878 3850 1883 3851 1884 3851 1876 3851 1885 3852 1876 3852 1884 3852 1875 3853 1883 3853 1876 3853 1885 3854 1878 3854 1876 3854 1883 3855 1886 3855 1884 3855 1887 3856 1884 3856 1886 3856 1885 3857 1884 3857 1887 3857 1888 3858 1889 3858 1886 3858 1890 3859 1886 3859 1889 3859 1883 3860 1888 3860 1886 3860 1887 3861 1886 3861 1890 3861 1888 3862 1891 3862 1889 3862 1892 3863 1889 3863 1891 3863 1890 3864 1889 3864 1892 3864 1893 3865 1894 3865 1891 3865 1895 3866 1891 3866 1894 3866 1896 3867 1891 3867 1888 3867 1896 3868 1893 3868 1891 3868 1892 3869 1891 3869 1895 3869 1893 3870 1897 3870 1894 3870 1898 3871 1894 3871 1897 3871 1895 3872 1894 3872 1898 3872 1893 3873 1899 3873 1897 3873 1900 3874 1897 3874 1899 3874 1898 3875 1897 3875 1900 3875 1879 3876 1880 3876 1899 3876 1901 3877 1899 3877 1880 3877 1893 3878 1879 3878 1899 3878 1900 3879 1899 3879 1901 3879 1901 3880 1880 3880 1881 3880 1902 3881 1833 3881 1832 3881 1829 3882 1833 3882 1903 3882 1904 3883 1903 3883 1833 3883 1904 3884 1833 3884 1902 3884 1826 3885 1905 3885 1832 3885 1906 3886 1832 3886 1905 3886 1906 3887 1902 3887 1832 3887 1826 3888 1907 3888 1905 3888 1908 3889 1905 3889 1907 3889 1906 3890 1905 3890 1908 3890 1815 3891 1909 3891 1907 3891 1910 3892 1907 3892 1909 3892 1826 3893 1815 3893 1907 3893 1908 3894 1907 3894 1910 3894 1815 3895 1818 3895 1909 3895 1911 3896 1909 3896 1818 3896 1910 3897 1909 3897 1911 3897 1912 3898 1818 3898 1812 3898 1911 3899 1818 3899 1912 3899 1913 3900 1812 3900 1809 3900 1912 3901 1812 3901 1913 3901 1914 3902 1809 3902 1800 3902 1913 3903 1809 3903 1914 3903 1915 3904 1800 3904 1848 3904 1914 3905 1800 3905 1915 3905 1916 3906 1848 3906 1844 3906 1916 3907 1915 3907 1848 3907 1917 3908 1844 3908 1847 3908 1916 3909 1844 3909 1917 3909 1838 3910 1918 3910 1847 3910 1919 3911 1847 3911 1918 3911 1917 3912 1847 3912 1919 3912 1838 3913 1920 3913 1918 3913 1921 3914 1918 3914 1920 3914 1919 3915 1918 3915 1921 3915 1838 3916 1922 3916 1920 3916 1923 3917 1920 3917 1922 3917 1921 3918 1920 3918 1923 3918 1838 3919 1903 3919 1922 3919 1924 3920 1922 3920 1903 3920 1923 3921 1922 3921 1924 3921 1838 3922 1829 3922 1903 3922 1924 3923 1903 3923 1904 3923 1925 3924 1815 3924 1826 3924 1926 3925 1804 3925 1815 3925 1926 3926 1815 3926 1925 3926 1927 3927 1826 3927 1820 3927 1925 3928 1826 3928 1927 3928 1928 3929 1820 3929 1836 3929 1927 3930 1820 3930 1928 3930 1929 3931 1836 3931 1829 3931 1928 3932 1836 3932 1929 3932 1930 3933 1829 3933 1838 3933 1929 3934 1829 3934 1930 3934 1931 3935 1838 3935 1851 3935 1930 3936 1838 3936 1931 3936 1804 3937 1932 3937 1851 3937 1933 3938 1851 3938 1932 3938 1931 3939 1851 3939 1933 3939 1804 3940 1934 3940 1932 3940 1935 3941 1932 3941 1934 3941 1933 3942 1932 3942 1935 3942 1804 3943 1861 3943 1934 3943 1936 3944 1934 3944 1861 3944 1935 3945 1934 3945 1936 3945 1853 3946 1937 3946 1861 3946 1938 3947 1861 3947 1937 3947 1936 3948 1861 3948 1938 3948 1939 3949 1940 3949 1937 3949 1941 3950 1937 3950 1940 3950 1853 3951 1939 3951 1937 3951 1938 3952 1937 3952 1941 3952 1942 3953 1940 3953 1939 3953 1941 3954 1940 3954 1942 3954 1943 3955 1939 3955 1853 3955 1942 3956 1939 3956 1943 3956 1944 3957 1853 3957 1856 3957 1943 3958 1853 3958 1944 3958 1945 3959 1856 3959 1872 3959 1944 3960 1856 3960 1945 3960 1946 3961 1872 3961 1869 3961 1946 3962 1945 3962 1872 3962 1947 3963 1869 3963 1871 3963 1947 3964 1946 3964 1869 3964 1804 3965 1948 3965 1871 3965 1949 3966 1871 3966 1948 3966 1947 3967 1871 3967 1949 3967 1804 3968 1950 3968 1948 3968 1951 3969 1948 3969 1950 3969 1949 3970 1948 3970 1951 3970 1804 3971 1952 3971 1950 3971 1953 3972 1950 3972 1952 3972 1951 3973 1950 3973 1953 3973 1804 3974 1954 3974 1952 3974 1955 3975 1952 3975 1954 3975 1953 3976 1952 3976 1955 3976 1804 3977 1956 3977 1954 3977 1957 3978 1954 3978 1956 3978 1955 3979 1954 3979 1957 3979 1804 3980 1958 3980 1956 3980 1959 3981 1956 3981 1958 3981 1957 3982 1956 3982 1959 3982 1804 3983 1960 3983 1958 3983 1961 3984 1958 3984 1960 3984 1959 3985 1958 3985 1961 3985 1804 3986 1962 3986 1960 3986 1963 3987 1960 3987 1962 3987 1961 3988 1960 3988 1963 3988 1804 3989 1964 3989 1962 3989 1965 3990 1962 3990 1964 3990 1963 3991 1962 3991 1965 3991 1804 3992 1966 3992 1964 3992 1967 3993 1964 3993 1966 3993 1965 3994 1964 3994 1967 3994 1804 3995 1888 3995 1966 3995 1968 3996 1966 3996 1888 3996 1967 3997 1966 3997 1968 3997 1969 3998 1888 3998 1883 3998 1970 3999 1896 3999 1888 3999 1804 4000 1970 4000 1888 4000 1968 4001 1888 4001 1969 4001 1971 4002 1883 4002 1875 4002 1969 4003 1883 4003 1971 4003 1882 4004 1972 4004 1875 4004 1973 4005 1875 4005 1972 4005 1974 4006 1971 4006 1875 4006 1973 4007 1974 4007 1875 4007 1882 4008 1975 4008 1972 4008 1973 4009 1972 4009 1975 4009 1976 4010 1975 4010 1882 4010 1976 4011 1973 4011 1975 4011 1977 4012 1882 4012 1879 4012 1978 4013 1882 4013 1977 4013 1978 4014 1976 4014 1882 4014 1979 4015 1879 4015 1893 4015 1980 4016 1879 4016 1979 4016 1977 4017 1879 4017 1980 4017 1979 4018 1893 4018 1896 4018 1981 4019 1896 4019 1970 4019 1979 4020 1896 4020 1981 4020 1982 4021 1970 4021 1804 4021 1982 4022 1981 4022 1970 4022 1982 4023 1804 4023 1926 4023 1983 4024 1984 4024 1985 4024 1986 4025 1985 4025 1984 4025 1987 4026 1985 4026 1988 4026 1989 4027 1988 4027 1985 4027 1987 4028 1983 4028 1985 4028 1989 4029 1985 4029 1986 4029 1990 4030 1991 4030 1984 4030 1992 4031 1984 4031 1991 4031 1983 4032 1990 4032 1984 4032 1992 4033 1986 4033 1984 4033 1990 4034 1993 4034 1991 4034 1994 4035 1991 4035 1993 4035 1992 4036 1991 4036 1994 4036 1963 4037 1995 4037 1993 4037 1996 4038 1993 4038 1995 4038 1963 4039 1993 4039 1990 4039 1994 4040 1993 4040 1996 4040 1968 4041 1997 4041 1995 4041 1998 4042 1995 4042 1997 4042 1967 4043 1968 4043 1995 4043 1965 4044 1967 4044 1995 4044 1963 4045 1965 4045 1995 4045 1996 4046 1995 4046 1998 4046 1969 4047 1999 4047 1997 4047 2000 4048 1997 4048 1999 4048 1968 4049 1969 4049 1997 4049 1998 4050 1997 4050 2000 4050 1971 4051 2001 4051 1999 4051 2002 4052 1999 4052 2001 4052 1969 4053 1971 4053 1999 4053 2000 4054 1999 4054 2002 4054 2003 4055 2004 4055 2001 4055 2005 4056 2001 4056 2004 4056 2006 4057 2003 4057 2001 4057 2007 4058 2006 4058 2001 4058 2008 4059 2007 4059 2001 4059 2009 4060 2008 4060 2001 4060 1971 4061 2009 4061 2001 4061 2002 4062 2001 4062 2005 4062 2010 4063 2011 4063 2004 4063 2012 4064 2004 4064 2011 4064 2003 4065 2010 4065 2004 4065 2005 4066 2004 4066 2012 4066 1926 4067 2013 4067 2011 4067 2014 4068 2011 4068 2013 4068 1926 4069 2011 4069 2010 4069 2012 4070 2011 4070 2014 4070 1925 4071 2015 4071 2013 4071 2016 4072 2013 4072 2015 4072 1926 4073 1925 4073 2013 4073 2014 4074 2013 4074 2016 4074 2017 4075 1988 4075 2015 4075 2018 4076 2015 4076 1988 4076 1925 4077 2017 4077 2015 4077 2016 4078 2015 4078 2018 4078 2017 4079 1987 4079 1988 4079 2018 4080 1988 4080 1989 4080 2019 4081 2020 4081 2021 4081 2022 4082 2021 4082 2020 4082 2023 4083 2021 4083 2024 4083 2025 4084 2024 4084 2021 4084 2023 4085 2019 4085 2021 4085 2025 4086 2021 4086 2022 4086 2019 4087 2026 4087 2020 4087 2027 4088 2020 4088 2026 4088 2022 4089 2020 4089 2027 4089 2028 4090 2029 4090 2026 4090 2030 4091 2026 4091 2029 4091 2019 4092 2028 4092 2026 4092 2027 4093 2026 4093 2030 4093 1925 4094 2031 4094 2029 4094 2032 4095 2029 4095 2031 4095 2028 4096 2033 4096 2029 4096 1925 4097 2029 4097 2033 4097 2030 4098 2029 4098 2032 4098 1925 4099 2034 4099 2031 4099 2035 4100 2031 4100 2034 4100 2035 4101 2032 4101 2031 4101 1925 4102 2036 4102 2034 4102 2037 4103 2034 4103 2036 4103 2035 4104 2034 4104 2037 4104 1925 4105 2038 4105 2036 4105 2039 4106 2036 4106 2038 4106 2037 4107 2036 4107 2039 4107 1806 4108 2040 4108 2038 4108 2041 4109 2038 4109 2040 4109 1925 4110 1806 4110 2038 4110 2039 4111 2038 4111 2041 4111 2023 4112 2042 4112 2040 4112 2043 4113 2040 4113 2042 4113 2044 4114 2040 4114 2045 4114 1936 4115 2045 4115 2040 4115 1806 4116 1803 4116 2040 4116 1935 4117 2040 4117 1803 4117 2046 4118 2023 4118 2040 4118 2044 4119 2046 4119 2040 4119 1935 4120 1936 4120 2040 4120 2041 4121 2040 4121 2043 4121 2023 4122 2047 4122 2042 4122 2048 4123 2042 4123 2047 4123 2043 4124 2042 4124 2048 4124 2023 4125 2024 4125 2047 4125 2049 4126 2047 4126 2024 4126 2048 4127 2047 4127 2049 4127 2049 4128 2024 4128 2025 4128 1945 4129 2050 4129 2051 4129 2052 4130 2051 4130 2050 4130 2053 4131 2051 4131 2054 4131 2055 4132 2054 4132 2051 4132 1936 4133 2051 4133 2053 4133 1944 4134 1945 4134 2051 4134 1941 4135 1944 4135 2051 4135 1938 4136 1941 4136 2051 4136 1936 4137 1938 4137 2051 4137 2055 4138 2051 4138 2052 4138 1945 4139 2056 4139 2050 4139 2057 4140 2050 4140 2056 4140 2057 4141 2052 4141 2050 4141 1961 4142 2058 4142 2056 4142 2059 4143 2056 4143 2058 4143 1945 4144 1961 4144 2056 4144 2059 4145 2057 4145 2056 4145 1961 4146 2060 4146 2058 4146 2061 4147 2058 4147 2060 4147 2061 4148 2059 4148 2058 4148 2062 4149 2063 4149 2060 4149 2064 4150 2060 4150 2063 4150 2065 4151 2062 4151 2060 4151 1961 4152 2065 4152 2060 4152 2061 4153 2060 4153 2064 4153 2066 4154 2067 4154 2063 4154 2068 4155 2063 4155 2067 4155 2062 4156 2066 4156 2063 4156 2068 4157 2064 4157 2063 4157 2069 4158 2054 4158 2067 4158 2070 4159 2067 4159 2054 4159 2066 4160 2069 4160 2067 4160 2070 4161 2068 4161 2067 4161 2069 4162 2053 4162 2054 4162 2055 4163 2070 4163 2054 4163 2071 4164 2053 4164 2069 4164 2072 4165 2053 4165 2073 4165 2074 4166 2073 4166 2053 4166 1936 4167 2053 4167 2072 4167 2074 4168 2053 4168 2071 4168 2075 4169 2069 4169 2066 4169 2075 4170 2071 4170 2069 4170 2076 4171 2066 4171 2062 4171 2076 4172 2075 4172 2066 4172 2077 4173 2062 4173 2065 4173 2077 4174 2076 4174 2062 4174 2078 4175 2079 4175 2065 4175 2080 4176 2065 4176 2079 4176 2081 4177 2078 4177 2065 4177 2082 4178 2081 4178 2065 4178 2083 4179 2065 4179 2084 4179 1961 4180 2084 4180 2065 4180 2083 4181 2082 4181 2065 4181 2077 4182 2065 4182 2080 4182 2085 4183 2086 4183 2079 4183 2087 4184 2079 4184 2086 4184 2078 4185 2085 4185 2079 4185 2087 4186 2080 4186 2079 4186 2088 4187 2073 4187 2086 4187 2089 4188 2086 4188 2073 4188 2085 4189 2088 4189 2086 4189 2089 4190 2087 4190 2086 4190 2088 4191 2072 4191 2073 4191 2074 4192 2089 4192 2073 4192 2090 4193 2091 4193 2092 4193 2093 4194 2092 4194 2091 4194 1936 4195 2092 4195 2094 4195 2095 4196 2094 4196 2092 4196 2090 4197 2092 4197 2072 4197 1936 4198 2072 4198 2092 4198 2095 4199 2092 4199 2093 4199 2096 4200 2097 4200 2091 4200 2098 4201 2091 4201 2097 4201 2090 4202 2096 4202 2091 4202 2098 4203 2093 4203 2091 4203 2099 4204 2100 4204 2097 4204 2101 4205 2097 4205 2100 4205 2096 4206 2099 4206 2097 4206 2101 4207 2098 4207 2097 4207 2081 4208 2045 4208 2100 4208 2102 4209 2100 4209 2045 4209 2099 4210 2081 4210 2100 4210 2102 4211 2101 4211 2100 4211 1936 4212 2103 4212 2045 4212 2104 4213 2045 4213 2103 4213 2082 4214 2045 4214 2081 4214 2082 4215 2044 4215 2045 4215 2102 4216 2045 4216 2104 4216 1936 4217 2105 4217 2103 4217 2106 4218 2103 4218 2105 4218 2106 4219 2104 4219 2103 4219 1936 4220 2094 4220 2105 4220 2107 4221 2105 4221 2094 4221 2107 4222 2106 4222 2105 4222 2095 4223 2107 4223 2094 4223 2108 4224 2072 4224 2088 4224 2109 4225 2090 4225 2072 4225 2109 4226 2072 4226 2108 4226 2110 4227 2088 4227 2085 4227 2110 4228 2108 4228 2088 4228 2111 4229 2085 4229 2078 4229 2111 4230 2110 4230 2085 4230 2112 4231 2078 4231 2081 4231 2112 4232 2111 4232 2078 4232 2113 4233 2081 4233 2099 4233 2112 4234 2081 4234 2113 4234 2114 4235 2099 4235 2096 4235 2114 4236 2113 4236 2099 4236 2115 4237 2096 4237 2090 4237 2115 4238 2114 4238 2096 4238 2109 4239 2115 4239 2090 4239 1852 4240 1803 4240 1811 4240 1933 4241 1803 4241 1852 4241 1933 4242 1935 4242 1803 4242 1925 4243 1819 4243 1806 4243 1927 4244 1817 4244 1819 4244 1925 4245 1927 4245 1819 4245 2116 4246 1814 4246 1817 4246 2117 4247 2116 4247 1817 4247 1927 4248 2117 4248 1817 4248 2118 4249 1811 4249 1814 4249 2116 4250 2118 4250 1814 4250 2119 4251 1852 4251 1811 4251 2118 4252 2119 4252 1811 4252 1929 4253 1825 4253 1823 4253 1928 4254 1823 4254 1828 4254 1928 4255 1929 4255 1823 4255 1930 4256 1837 4256 1825 4256 1929 4257 1930 4257 1825 4257 1930 4258 1835 4258 1837 4258 1931 4259 1831 4259 1835 4259 1930 4260 1931 4260 1835 4260 1928 4261 1828 4261 1831 4261 1931 4262 2120 4262 1831 4262 1928 4263 1831 4263 2120 4263 1933 4264 1843 4264 1841 4264 2121 4265 1841 4265 1846 4265 2121 4266 2122 4266 1841 4266 1933 4267 1841 4267 2122 4267 1933 4268 1852 4268 1843 4268 2119 4269 1850 4269 1852 4269 2123 4270 1849 4270 1850 4270 2123 4271 1850 4271 2119 4271 2124 4272 1846 4272 1849 4272 2123 4273 2124 4273 1849 4273 2125 4274 2121 4274 1846 4274 2124 4275 2125 4275 1846 4275 2126 4276 2127 4276 2128 4276 2129 4277 2128 4277 2127 4277 2130 4278 2128 4278 2131 4278 2132 4279 2131 4279 2128 4279 2126 4280 2128 4280 2133 4280 2130 4281 2133 4281 2128 4281 2132 4282 2128 4282 2129 4282 2134 4283 2135 4283 2127 4283 2136 4284 2127 4284 2135 4284 2126 4285 2134 4285 2127 4285 2136 4286 2129 4286 2127 4286 2137 4287 2138 4287 2135 4287 2139 4288 2135 4288 2138 4288 2134 4289 2137 4289 2135 4289 2136 4290 2135 4290 2139 4290 2140 4291 2141 4291 2138 4291 2142 4292 2138 4292 2141 4292 2137 4293 2140 4293 2138 4293 2139 4294 2138 4294 2142 4294 2143 4295 2144 4295 2141 4295 2145 4296 2141 4296 2144 4296 2140 4297 2143 4297 2141 4297 2142 4298 2141 4298 2145 4298 2146 4299 2147 4299 2144 4299 2148 4300 2144 4300 2147 4300 2143 4301 2146 4301 2144 4301 2145 4302 2144 4302 2148 4302 2149 4303 2150 4303 2147 4303 2151 4304 2147 4304 2150 4304 1961 4305 2147 4305 2146 4305 1961 4306 2149 4306 2147 4306 2148 4307 2147 4307 2151 4307 2149 4308 2152 4308 2150 4308 2153 4309 2150 4309 2152 4309 2151 4310 2150 4310 2153 4310 2130 4311 2154 4311 2152 4311 2155 4312 2152 4312 2154 4312 2149 4313 2130 4313 2152 4313 2153 4314 2152 4314 2155 4314 2130 4315 2156 4315 2154 4315 2157 4316 2154 4316 2156 4316 2155 4317 2154 4317 2157 4317 2130 4318 2131 4318 2156 4318 2158 4319 2156 4319 2131 4319 2157 4320 2156 4320 2158 4320 2158 4321 2131 4321 2132 4321 2130 4322 2084 4322 2133 4322 2159 4323 2133 4323 2084 4323 2160 4324 2126 4324 2133 4324 2160 4325 2133 4325 2159 4325 1961 4326 2161 4326 2084 4326 2162 4327 2084 4327 2161 4327 2130 4328 2083 4328 2084 4328 2162 4329 2159 4329 2084 4329 1961 4330 2163 4330 2161 4330 2164 4331 2161 4331 2163 4331 2162 4332 2161 4332 2164 4332 1961 4333 2165 4333 2163 4333 2166 4334 2163 4334 2165 4334 2164 4335 2163 4335 2166 4335 1961 4336 2167 4336 2165 4336 2168 4337 2165 4337 2167 4337 2166 4338 2165 4338 2168 4338 1961 4339 2146 4339 2167 4339 2169 4340 2167 4340 2146 4340 2168 4341 2167 4341 2169 4341 2170 4342 2146 4342 2143 4342 2169 4343 2146 4343 2170 4343 2171 4344 2143 4344 2140 4344 2170 4345 2143 4345 2171 4345 2172 4346 2140 4346 2137 4346 2171 4347 2140 4347 2172 4347 2173 4348 2137 4348 2134 4348 2172 4349 2137 4349 2173 4349 2174 4350 2134 4350 2126 4350 2173 4351 2134 4351 2174 4351 2174 4352 2126 4352 2160 4352 2175 4353 2176 4353 2177 4353 2178 4354 2177 4354 2176 4354 1961 4355 2177 4355 2179 4355 2180 4356 2179 4356 2177 4356 1961 4357 2175 4357 2177 4357 2180 4358 2177 4358 2178 4358 2181 4359 2182 4359 2176 4359 2183 4360 2176 4360 2182 4360 2175 4361 2181 4361 2176 4361 2178 4362 2176 4362 2183 4362 2184 4363 2185 4363 2182 4363 2186 4364 2182 4364 2185 4364 2181 4365 2184 4365 2182 4365 2183 4366 2182 4366 2186 4366 1925 4367 2033 4367 2185 4367 2187 4368 2185 4368 2033 4368 2184 4369 2188 4369 2185 4369 1925 4370 2185 4370 2188 4370 2186 4371 2185 4371 2187 4371 2189 4372 2033 4372 2028 4372 2187 4373 2033 4373 2189 4373 2190 4374 2028 4374 2019 4374 2189 4375 2028 4375 2190 4375 2191 4376 2019 4376 2023 4376 2190 4377 2019 4377 2191 4377 2192 4378 2023 4378 2046 4378 2191 4379 2023 4379 2192 4379 2193 4380 2046 4380 2044 4380 2192 4381 2046 4381 2193 4381 2194 4382 2044 4382 2082 4382 2193 4383 2044 4383 2194 4383 2195 4384 2082 4384 2083 4384 2194 4385 2082 4385 2195 4385 2196 4386 2083 4386 2130 4386 2195 4387 2083 4387 2196 4387 2197 4388 2130 4388 2149 4388 2196 4389 2130 4389 2197 4389 1961 4390 2179 4390 2149 4390 2198 4391 2149 4391 2179 4391 2198 4392 2197 4392 2149 4392 2198 4393 2179 4393 2180 4393 2199 4394 2200 4394 2201 4394 2202 4395 2201 4395 2200 4395 2203 4396 2199 4396 2201 4396 2204 4397 2203 4397 2201 4397 2202 4398 2204 4398 2201 4398 2199 4399 2205 4399 2200 4399 2206 4400 2200 4400 2205 4400 2206 4401 2202 4401 2200 4401 2207 4402 2205 4402 2199 4402 2208 4403 2205 4403 2207 4403 2206 4404 2205 4404 2208 4404 2207 4405 2199 4405 2203 4405 1961 4406 2209 4406 2203 4406 2210 4407 2203 4407 2209 4407 1961 4408 2203 4408 2204 4408 2207 4409 2203 4409 2210 4409 1963 4410 2211 4410 2209 4410 2212 4411 2209 4411 2211 4411 1961 4412 1963 4412 2209 4412 2210 4413 2209 4413 2212 4413 1963 4414 2213 4414 2211 4414 2214 4415 2211 4415 2213 4415 2212 4416 2211 4416 2214 4416 1963 4417 2215 4417 2213 4417 2216 4418 2213 4418 2215 4418 2214 4419 2213 4419 2216 4419 1963 4420 1990 4420 2215 4420 2217 4421 2215 4421 1990 4421 2216 4422 2215 4422 2217 4422 2218 4423 1990 4423 1983 4423 2217 4424 1990 4424 2218 4424 2219 4425 1983 4425 1987 4425 2218 4426 1983 4426 2219 4426 2220 4427 1987 4427 2017 4427 2219 4428 1987 4428 2220 4428 1925 4429 2188 4429 2017 4429 2221 4430 2017 4430 2188 4430 2220 4431 2017 4431 2221 4431 2222 4432 2188 4432 2184 4432 2221 4433 2188 4433 2222 4433 2223 4434 2184 4434 2181 4434 2222 4435 2184 4435 2223 4435 2224 4436 2181 4436 2175 4436 2223 4437 2181 4437 2224 4437 1961 4438 2225 4438 2175 4438 2226 4439 2175 4439 2225 4439 2224 4440 2175 4440 2226 4440 1961 4441 2204 4441 2225 4441 2227 4442 2225 4442 2204 4442 2226 4443 2225 4443 2227 4443 2228 4444 2204 4444 2202 4444 2227 4445 2204 4445 2228 4445 2229 4446 2119 4446 2118 4446 2230 4447 2123 4447 2119 4447 2230 4448 2119 4448 2229 4448 2231 4449 2118 4449 2116 4449 2229 4450 2118 4450 2231 4450 2232 4451 2116 4451 2117 4451 2231 4452 2116 4452 2232 4452 1927 4453 2233 4453 2117 4453 2234 4454 2117 4454 2233 4454 2232 4455 2117 4455 2234 4455 1927 4456 2235 4456 2233 4456 2236 4457 2233 4457 2235 4457 2234 4458 2233 4458 2236 4458 1927 4459 2237 4459 2235 4459 2238 4460 2235 4460 2237 4460 2236 4461 2235 4461 2238 4461 1928 4462 2239 4462 2237 4462 2240 4463 2237 4463 2239 4463 1927 4464 1928 4464 2237 4464 2238 4465 2237 4465 2240 4465 1928 4466 2120 4466 2239 4466 2241 4467 2239 4467 2120 4467 2240 4468 2239 4468 2241 4468 1931 4469 2242 4469 2120 4469 2243 4470 2120 4470 2242 4470 2241 4471 2120 4471 2243 4471 1931 4472 2244 4472 2242 4472 2245 4473 2242 4473 2244 4473 2245 4474 2243 4474 2242 4474 1933 4475 2122 4475 2244 4475 2246 4476 2244 4476 2122 4476 1931 4477 1933 4477 2244 4477 2245 4478 2244 4478 2246 4478 2247 4479 2122 4479 2121 4479 2246 4480 2122 4480 2247 4480 2248 4481 2121 4481 2125 4481 2247 4482 2121 4482 2248 4482 2249 4483 2125 4483 2124 4483 2248 4484 2125 4484 2249 4484 2250 4485 2124 4485 2123 4485 2249 4486 2124 4486 2250 4486 2250 4487 2123 4487 2230 4487 2251 4488 1979 4488 1981 4488 2252 4489 2251 4489 1981 4489 2253 4490 2252 4490 1981 4490 2254 4491 2253 4491 1981 4491 2255 4492 2254 4492 1981 4492 2256 4493 2255 4493 1981 4493 1982 4494 2256 4494 1981 4494 2257 4495 1980 4495 1979 4495 2251 4496 2257 4496 1979 4496 2258 4497 1977 4497 1980 4497 2259 4498 2258 4498 1980 4498 2257 4499 2259 4499 1980 4499 2260 4500 1977 4500 2258 4500 2260 4501 1978 4501 1977 4501 2261 4502 2258 4502 2259 4502 2261 4503 2260 4503 2258 4503 2261 4504 2259 4504 2257 4504 2262 4505 2257 4505 2251 4505 2262 4506 2261 4506 2257 4506 2262 4507 2251 4507 2252 4507 2263 4508 2264 4508 2252 4508 2265 4509 2252 4509 2264 4509 2253 4510 2263 4510 2252 4510 2265 4511 2262 4511 2252 4511 2266 4512 2264 4512 2263 4512 2267 4513 2265 4513 2264 4513 2268 4514 2267 4514 2264 4514 2266 4515 2268 4515 2264 4515 2269 4516 2263 4516 2253 4516 2269 4517 2266 4517 2263 4517 2270 4518 2253 4518 2254 4518 2269 4519 2253 4519 2270 4519 2271 4520 2254 4520 2255 4520 2270 4521 2254 4521 2271 4521 2272 4522 2255 4522 2256 4522 2271 4523 2255 4523 2272 4523 1926 4524 2010 4524 2256 4524 2273 4525 2256 4525 2010 4525 1982 4526 1926 4526 2256 4526 2272 4527 2256 4527 2273 4527 2274 4528 2010 4528 2003 4528 2273 4529 2010 4529 2274 4529 2275 4530 2003 4530 2006 4530 2274 4531 2003 4531 2275 4531 2276 4532 2006 4532 2007 4532 2275 4533 2006 4533 2276 4533 2277 4534 2007 4534 2008 4534 2276 4535 2007 4535 2277 4535 2009 4536 2278 4536 2008 4536 2279 4537 2008 4537 2278 4537 2277 4538 2008 4538 2279 4538 2009 4539 2280 4539 2278 4539 2281 4540 2278 4540 2280 4540 2281 4541 2279 4541 2278 4541 2282 4542 2283 4542 2280 4542 2284 4543 2280 4543 2283 4543 2009 4544 2282 4544 2280 4544 2281 4545 2280 4545 2284 4545 2285 4546 2286 4546 2283 4546 2287 4547 2283 4547 2286 4547 2282 4548 2285 4548 2283 4548 2284 4549 2283 4549 2287 4549 2288 4550 2286 4550 2285 4550 2289 4551 2286 4551 2290 4551 2288 4552 2290 4552 2286 4552 2291 4553 2286 4553 2289 4553 2287 4554 2286 4554 2291 4554 2288 4555 2285 4555 2282 4555 2292 4556 2282 4556 2009 4556 2288 4557 2282 4557 2292 4557 2292 4558 2009 4558 1971 4558 2293 4559 1971 4559 1974 4559 2292 4560 1971 4560 2293 4560 1959 4561 1961 4561 1945 4561 1946 4562 1959 4562 1945 4562 1942 4563 1943 4563 1944 4563 1941 4564 1942 4564 1944 4564 2294 4565 1974 4565 1973 4565 2293 4566 1974 4566 2294 4566 2295 4567 1973 4567 1976 4567 2294 4568 1973 4568 2295 4568 2295 4569 1976 4569 1978 4569 2296 4570 1978 4570 2260 4570 2297 4571 2295 4571 1978 4571 2298 4572 1978 4572 2296 4572 2297 4573 1978 4573 2298 4573 2299 4574 2260 4574 2261 4574 2300 4575 2296 4575 2260 4575 2301 4576 2300 4576 2260 4576 2302 4577 2301 4577 2260 4577 2303 4578 2304 4578 2260 4578 2302 4579 2260 4579 2304 4579 2299 4580 2303 4580 2260 4580 2305 4581 2261 4581 2262 4581 2306 4582 2307 4582 2261 4582 2308 4583 2261 4583 2307 4583 2305 4584 2306 4584 2261 4584 2309 4585 2299 4585 2261 4585 2310 4586 2309 4586 2261 4586 2308 4587 2310 4587 2261 4587 2311 4588 2262 4588 2265 4588 2305 4589 2262 4589 2311 4589 2308 4590 2265 4590 2267 4590 2312 4591 2311 4591 2265 4591 2313 4592 2312 4592 2265 4592 2308 4593 2313 4593 2265 4593 2314 4594 2290 4594 2267 4594 2315 4595 2267 4595 2290 4595 2268 4596 2314 4596 2267 4596 2316 4597 2317 4597 2267 4597 2308 4598 2267 4598 2317 4598 2318 4599 2316 4599 2267 4599 2319 4600 2318 4600 2267 4600 2315 4601 2319 4601 2267 4601 2289 4602 2290 4602 2314 4602 2320 4603 2290 4603 2288 4603 2321 4604 2290 4604 2320 4604 2315 4605 2290 4605 2321 4605 2322 4606 2289 4606 2314 4606 2268 4607 2322 4607 2314 4607 2322 4608 2291 4608 2289 4608 2284 4609 2291 4609 2322 4609 2284 4610 2287 4610 2291 4610 2272 4611 2322 4611 2268 4611 2281 4612 2322 4612 2272 4612 2281 4613 2284 4613 2322 4613 2271 4614 2268 4614 2266 4614 2271 4615 2272 4615 2268 4615 2270 4616 2271 4616 2266 4616 2269 4617 2270 4617 2266 4617 1898 4618 2323 4618 2324 4618 2325 4619 2324 4619 2323 4619 1895 4620 1898 4620 2324 4620 2326 4621 1895 4621 2324 4621 2327 4622 2326 4622 2324 4622 2327 4623 2324 4623 2325 4623 1900 4624 2328 4624 2323 4624 2329 4625 2323 4625 2328 4625 1898 4626 1900 4626 2323 4626 2329 4627 2325 4627 2323 4627 1901 4628 2330 4628 2328 4628 2331 4629 2328 4629 2330 4629 1900 4630 1901 4630 2328 4630 2329 4631 2328 4631 2331 4631 1881 4632 2332 4632 2330 4632 2333 4633 2330 4633 2332 4633 1901 4634 1881 4634 2330 4634 2331 4635 2330 4635 2333 4635 1878 4636 2334 4636 2332 4636 2335 4637 2332 4637 2334 4637 1881 4638 1878 4638 2332 4638 2333 4639 2332 4639 2335 4639 1885 4640 2334 4640 1878 4640 1885 4641 2336 4641 2334 4641 2337 4642 2334 4642 2336 4642 2335 4643 2334 4643 2337 4643 1892 4644 1895 4644 2326 4644 1887 4645 2338 4645 2336 4645 2339 4646 2336 4646 2338 4646 1885 4647 1887 4647 2336 4647 2337 4648 2336 4648 2339 4648 1890 4649 2340 4649 2338 4649 2341 4650 2338 4650 2340 4650 1887 4651 1890 4651 2338 4651 2339 4652 2338 4652 2341 4652 1892 4653 2326 4653 2340 4653 2342 4654 2340 4654 2326 4654 1890 4655 1892 4655 2340 4655 2341 4656 2340 4656 2342 4656 2342 4657 2326 4657 2327 4657 2027 4658 2030 4658 2032 4658 2022 4659 2027 4659 2032 4659 2035 4660 2022 4660 2032 4660 2035 4661 2025 4661 2022 4661 2035 4662 2049 4662 2025 4662 2037 4663 2048 4663 2049 4663 2035 4664 2037 4664 2049 4664 2041 4665 2043 4665 2048 4665 2039 4666 2041 4666 2048 4666 2037 4667 2039 4667 2048 4667 2000 4668 1989 4668 1986 4668 1998 4669 2000 4669 1986 4669 1992 4670 1998 4670 1986 4670 2005 4671 2018 4671 1989 4671 2002 4672 2005 4672 1989 4672 2000 4673 2002 4673 1989 4673 2012 4674 2016 4674 2018 4674 2005 4675 2012 4675 2018 4675 2012 4676 2014 4676 2016 4676 1992 4677 1996 4677 1998 4677 1992 4678 1994 4678 1996 4678 2275 4679 2277 4679 2279 4679 2274 4680 2275 4680 2279 4680 2281 4681 2274 4681 2279 4681 2275 4682 2276 4682 2277 4682 2281 4683 2273 4683 2274 4683 2281 4684 2272 4684 2273 4684 2192 4685 2196 4685 2197 4685 2198 4686 2192 4686 2197 4686 2194 4687 2195 4687 2196 4687 2193 4688 2194 4688 2196 4688 2192 4689 2193 4689 2196 4689 2178 4690 2191 4690 2192 4690 2180 4691 2178 4691 2192 4691 2198 4692 2180 4692 2192 4692 2183 4693 2190 4693 2191 4693 2178 4694 2183 4694 2191 4694 2183 4695 2189 4695 2190 4695 2183 4696 2187 4696 2189 4696 2183 4697 2186 4697 2187 4697 2226 4698 2228 4698 2202 4698 2206 4699 2226 4699 2202 4699 2226 4700 2227 4700 2228 4700 2218 4701 2224 4701 2226 4701 2217 4702 2218 4702 2226 4702 2216 4703 2217 4703 2226 4703 2206 4704 2216 4704 2226 4704 2219 4705 2223 4705 2224 4705 2218 4706 2219 4706 2224 4706 2219 4707 2222 4707 2223 4707 2219 4708 2221 4708 2222 4708 2219 4709 2220 4709 2221 4709 2206 4710 2214 4710 2216 4710 2208 4711 2212 4711 2214 4711 2206 4712 2208 4712 2214 4712 2208 4713 2210 4713 2212 4713 2208 4714 2207 4714 2210 4714 2071 4715 2055 4715 2052 4715 1514 4716 2052 4716 2057 4716 1517 4717 2071 4717 2052 4717 1517 4718 2052 4718 1514 4718 1393 4719 2064 4719 2068 4719 1393 4720 2061 4720 2064 4720 2076 4721 2068 4721 2070 4721 1393 4722 2068 4722 2076 4722 2071 4723 2070 4723 2055 4723 2075 4724 2070 4724 2071 4724 2076 4725 2070 4725 2075 4725 1514 4726 2057 4726 2059 4726 1393 4727 2059 4727 2061 4727 1393 4728 1514 4728 2059 4728 1517 4729 2074 4729 2071 4729 2111 4730 2080 4730 2087 4730 1393 4731 2077 4731 2080 4731 1393 4732 2080 4732 2111 4732 2111 4733 2087 4733 2089 4733 1517 4734 2089 4734 2074 4734 2110 4735 2089 4735 2108 4735 1517 4736 2108 4736 2089 4736 2111 4737 2089 4737 2110 4737 1393 4738 2076 4738 2077 4738 1517 4739 2095 4739 2093 4739 1517 4740 2093 4740 2098 4740 1447 4741 2104 4741 2106 4741 2113 4742 2102 4742 2104 4742 1393 4743 2113 4743 2104 4743 1447 4744 1393 4744 2104 4744 1447 4745 2106 4745 2107 4745 1517 4746 2107 4746 2095 4746 1517 4747 1447 4747 2107 4747 2115 4748 2098 4748 2101 4748 1517 4749 2098 4749 2115 4749 2113 4750 2101 4750 2102 4750 2114 4751 2101 4751 2113 4751 2115 4752 2101 4752 2114 4752 1517 4753 2109 4753 2108 4753 1393 4754 2112 4754 2113 4754 1517 4755 2115 4755 2109 4755 1393 4756 2111 4756 2112 4756 1906 4757 2243 4757 1902 4757 2245 4758 1902 4758 2243 4758 1904 4759 1902 4759 2245 4759 1906 4760 2241 4760 2243 4760 1908 4761 2240 4761 2241 4761 1906 4762 1908 4762 2241 4762 1910 4763 2238 4763 2240 4763 1908 4764 1910 4764 2240 4764 1911 4765 2236 4765 2238 4765 1910 4766 1911 4766 2238 4766 1912 4767 2234 4767 2236 4767 1911 4768 1912 4768 2236 4768 1913 4769 2232 4769 2234 4769 1912 4770 1913 4770 2234 4770 1914 4771 2231 4771 2232 4771 1913 4772 1914 4772 2232 4772 1915 4773 2229 4773 2231 4773 1914 4774 1915 4774 2231 4774 1916 4775 2229 4775 1915 4775 1916 4776 2230 4776 2229 4776 1917 4777 2250 4777 2230 4777 1916 4778 1917 4778 2230 4778 1919 4779 2249 4779 2250 4779 1917 4780 1919 4780 2250 4780 1921 4781 2248 4781 2249 4781 1919 4782 1921 4782 2249 4782 1923 4783 2247 4783 2248 4783 1921 4784 1923 4784 2248 4784 1924 4785 2246 4785 2247 4785 1923 4786 1924 4786 2247 4786 1904 4787 2245 4787 2246 4787 1924 4788 1904 4788 2246 4788 2162 4789 1959 4789 1946 4789 2151 4790 2153 4790 1959 4790 1957 4791 1959 4791 2153 4791 2148 4792 2151 4792 1959 4792 2145 4793 2148 4793 1959 4793 2142 4794 2145 4794 1959 4794 2171 4795 2142 4795 1959 4795 2170 4796 2171 4796 1959 4796 2169 4797 2170 4797 1959 4797 2168 4798 2169 4798 1959 4798 2166 4799 2168 4799 1959 4799 2164 4800 2166 4800 1959 4800 2162 4801 2164 4801 1959 4801 1947 4802 2162 4802 1946 4802 1874 4803 1859 4803 1514 4803 1393 4804 1874 4804 1514 4804 1512 4805 1513 4805 1859 4805 1874 4806 1512 4806 1859 4806 1864 4807 1868 4807 1447 4807 1517 4808 1864 4808 1447 4808 1681 4809 1516 4809 1868 4809 1864 4810 1681 4810 1868 4810 2343 4811 2294 4811 2295 4811 2344 4812 2343 4812 2295 4812 2345 4813 2344 4813 2295 4813 2346 4814 2345 4814 2295 4814 2347 4815 2346 4815 2295 4815 2297 4816 2347 4816 2295 4816 2348 4817 2293 4817 2294 4817 2349 4818 2348 4818 2294 4818 2350 4819 2349 4819 2294 4819 2343 4820 2350 4820 2294 4820 2351 4821 2292 4821 2293 4821 2351 4822 2293 4822 2348 4822 2352 4823 2288 4823 2292 4823 2353 4824 2354 4824 2292 4824 2343 4825 2292 4825 2354 4825 2351 4826 2353 4826 2292 4826 2355 4827 2352 4827 2292 4827 2356 4828 2355 4828 2292 4828 2343 4829 2356 4829 2292 4829 2357 4830 2320 4830 2288 4830 2358 4831 2357 4831 2288 4831 2359 4832 2358 4832 2288 4832 2352 4833 2360 4833 2288 4833 2361 4834 2288 4834 2360 4834 2359 4835 2288 4835 2361 4835 2362 4836 2296 4836 2300 4836 2363 4837 2298 4837 2296 4837 2363 4838 2296 4838 2362 4838 2364 4839 2300 4839 2301 4839 2364 4840 2362 4840 2300 4840 2365 4841 2366 4841 2301 4841 2367 4842 2301 4842 2366 4842 2302 4843 2365 4843 2301 4843 2364 4844 2301 4844 2367 4844 2297 4845 2368 4845 2366 4845 2369 4846 2366 4846 2368 4846 2297 4847 2366 4847 2365 4847 2367 4848 2366 4848 2369 4848 2297 4849 2298 4849 2368 4849 2370 4850 2368 4850 2298 4850 2369 4851 2368 4851 2370 4851 2370 4852 2298 4852 2363 4852 2371 4853 2348 4853 2349 4853 2372 4854 2351 4854 2348 4854 2372 4855 2348 4855 2371 4855 2373 4856 2349 4856 2350 4856 2373 4857 2371 4857 2349 4857 2343 4858 2354 4858 2350 4858 2374 4859 2350 4859 2354 4859 2373 4860 2350 4860 2374 4860 2375 4861 2354 4861 2353 4861 2374 4862 2354 4862 2375 4862 2376 4863 2353 4863 2351 4863 2375 4864 2353 4864 2376 4864 2376 4865 2351 4865 2372 4865 2377 4866 2320 4866 2357 4866 2378 4867 2321 4867 2320 4867 2378 4868 2320 4868 2377 4868 2379 4869 2357 4869 2358 4869 2379 4870 2377 4870 2357 4870 2380 4871 2381 4871 2358 4871 2382 4872 2358 4872 2381 4872 2359 4873 2380 4873 2358 4873 2379 4874 2358 4874 2382 4874 2315 4875 2383 4875 2381 4875 2384 4876 2381 4876 2383 4876 2380 4877 2315 4877 2381 4877 2382 4878 2381 4878 2384 4878 2315 4879 2321 4879 2383 4879 2385 4880 2383 4880 2321 4880 2384 4881 2383 4881 2385 4881 2385 4882 2321 4882 2378 4882 2386 4883 2311 4883 2312 4883 2387 4884 2305 4884 2311 4884 2387 4885 2311 4885 2386 4885 2388 4886 2312 4886 2313 4886 2388 4887 2386 4887 2312 4887 2308 4888 2307 4888 2313 4888 2389 4889 2313 4889 2307 4889 2388 4890 2313 4890 2389 4890 2390 4891 2307 4891 2306 4891 2389 4892 2307 4892 2390 4892 2391 4893 2306 4893 2305 4893 2390 4894 2306 4894 2391 4894 2391 4895 2305 4895 2387 4895 2392 4896 2393 4896 2394 4896 2395 4897 2394 4897 2393 4897 2396 4898 2394 4898 2309 4898 2397 4899 2309 4899 2394 4899 2396 4900 2318 4900 2394 4900 2319 4901 2394 4901 2318 4901 2319 4902 2392 4902 2394 4902 2397 4903 2394 4903 2395 4903 2302 4904 2304 4904 2393 4904 2398 4905 2393 4905 2304 4905 2392 4906 2302 4906 2393 4906 2398 4907 2395 4907 2393 4907 2399 4908 2304 4908 2303 4908 2398 4909 2304 4909 2399 4909 2400 4910 2303 4910 2299 4910 2399 4911 2303 4911 2400 4911 2401 4912 2299 4912 2309 4912 2400 4913 2299 4913 2401 4913 2310 4914 2396 4914 2309 4914 2401 4915 2309 4915 2397 4915 2402 4916 2360 4916 2352 4916 2403 4917 2361 4917 2360 4917 2403 4918 2360 4918 2402 4918 2404 4919 2352 4919 2355 4919 2404 4920 2402 4920 2352 4920 2405 4921 2406 4921 2355 4921 2407 4922 2355 4922 2406 4922 2356 4923 2405 4923 2355 4923 2404 4924 2355 4924 2407 4924 2408 4925 2409 4925 2406 4925 2410 4926 2406 4926 2409 4926 2346 4927 2406 4927 2405 4927 2347 4928 2406 4928 2346 4928 2347 4929 2408 4929 2406 4929 2407 4930 2406 4930 2410 4930 2359 4931 2361 4931 2409 4931 2411 4932 2409 4932 2361 4932 2408 4933 2359 4933 2409 4933 2410 4934 2409 4934 2411 4934 2411 4935 2361 4935 2403 4935 2412 4936 2317 4936 2316 4936 2413 4937 2308 4937 2317 4937 2413 4938 2317 4938 2412 4938 2414 4939 2316 4939 2318 4939 2414 4940 2412 4940 2316 4940 2415 4941 2318 4941 2396 4941 2414 4942 2318 4942 2415 4942 2416 4943 2396 4943 2310 4943 2415 4944 2396 4944 2416 4944 2417 4945 2310 4945 2308 4945 2416 4946 2310 4946 2417 4946 2417 4947 2308 4947 2413 4947 2418 4948 2405 4948 2356 4948 2419 4949 2346 4949 2405 4949 2419 4950 2405 4950 2418 4950 2420 4951 2356 4951 2343 4951 2420 4952 2418 4952 2356 4952 2421 4953 2343 4953 2344 4953 2420 4954 2343 4954 2421 4954 2422 4955 2344 4955 2345 4955 2421 4956 2344 4956 2422 4956 2423 4957 2345 4957 2346 4957 2422 4958 2345 4958 2423 4958 2423 4959 2346 4959 2419 4959 2424 4960 2365 4960 2302 4960 2425 4961 2297 4961 2365 4961 2425 4962 2365 4962 2424 4962 2426 4963 2302 4963 2392 4963 2426 4964 2424 4964 2302 4964 2427 4965 2392 4965 2319 4965 2426 4966 2392 4966 2427 4966 2428 4967 2319 4967 2315 4967 2427 4968 2319 4968 2428 4968 2429 4969 2315 4969 2380 4969 2428 4970 2315 4970 2429 4970 2430 4971 2380 4971 2359 4971 2429 4972 2380 4972 2430 4972 2431 4973 2359 4973 2408 4973 2431 4974 2430 4974 2359 4974 2432 4975 2408 4975 2347 4975 2431 4976 2408 4976 2432 4976 2433 4977 2347 4977 2297 4977 2432 4978 2347 4978 2433 4978 2433 4979 2297 4979 2425 4979 2329 4980 2434 4980 2435 4980 2430 4981 2435 4981 2434 4981 2325 4982 2435 4982 2436 4982 2431 4983 2436 4983 2435 4983 2329 4984 2435 4984 2325 4984 2431 4985 2435 4985 2430 4985 2437 4986 2438 4986 2434 4986 2428 4987 2434 4987 2438 4987 2331 4988 2437 4988 2434 4988 2329 4989 2331 4989 2434 4989 2429 4990 2430 4990 2434 4990 2428 4991 2429 4991 2434 4991 2428 4992 2438 4992 2437 4992 2333 4993 2439 4993 2437 4993 2427 4994 2437 4994 2439 4994 2331 4995 2333 4995 2437 4995 2427 4996 2428 4996 2437 4996 2337 4997 2440 4997 2439 4997 2426 4998 2439 4998 2440 4998 2335 4999 2337 4999 2439 4999 2333 5000 2335 5000 2439 5000 2426 5001 2427 5001 2439 5001 2339 5002 2441 5002 2440 5002 2424 5003 2440 5003 2441 5003 2337 5004 2339 5004 2440 5004 2426 5005 2440 5005 2424 5005 2442 5006 2443 5006 2441 5006 2433 5007 2441 5007 2443 5007 2341 5008 2442 5008 2441 5008 2339 5009 2341 5009 2441 5009 2425 5010 2424 5010 2441 5010 2433 5011 2425 5011 2441 5011 2433 5012 2443 5012 2442 5012 2342 5013 2436 5013 2442 5013 2432 5014 2442 5014 2436 5014 2341 5015 2342 5015 2442 5015 2432 5016 2433 5016 2442 5016 2327 5017 2325 5017 2436 5017 2342 5018 2327 5018 2436 5018 2431 5019 2432 5019 2436 5019 1947 5020 2132 5020 2129 5020 1947 5021 2129 5021 2136 5021 1947 5022 2158 5022 2132 5022 1947 5023 2157 5023 2158 5023 1957 5024 2155 5024 2157 5024 1947 5025 1957 5025 2157 5025 1957 5026 2153 5026 2155 5026 2173 5027 2139 5027 2142 5027 2172 5028 2173 5028 2142 5028 2171 5029 2172 5029 2142 5029 1947 5030 2136 5030 2139 5030 1947 5031 2139 5031 2173 5031 1947 5032 2160 5032 2159 5032 1947 5033 2159 5033 2162 5033 1947 5034 2174 5034 2160 5034 1947 5035 2173 5035 2174 5035 1949 5036 1955 5036 1957 5036 1947 5037 1949 5037 1957 5037 1951 5038 1953 5038 1955 5038 1949 5039 1951 5039 1955 5039 2363 5040 2362 5040 2444 5040 2364 5041 2444 5041 2362 5041 2370 5042 2363 5042 2444 5042 2369 5043 2370 5043 2444 5043 2367 5044 2369 5044 2444 5044 2364 5045 2367 5045 2444 5045 2372 5046 2371 5046 2445 5046 2373 5047 2445 5047 2371 5047 2376 5048 2372 5048 2445 5048 2375 5049 2376 5049 2445 5049 2374 5050 2375 5050 2445 5050 2373 5051 2374 5051 2445 5051 2378 5052 2377 5052 2446 5052 2379 5053 2446 5053 2377 5053 2385 5054 2378 5054 2446 5054 2384 5055 2385 5055 2446 5055 2382 5056 2384 5056 2446 5056 2379 5057 2382 5057 2446 5057 2387 5058 2386 5058 2447 5058 2388 5059 2447 5059 2386 5059 2391 5060 2387 5060 2447 5060 2390 5061 2391 5061 2447 5061 2389 5062 2390 5062 2447 5062 2388 5063 2389 5063 2447 5063 2401 5064 2397 5064 2395 5064 2400 5065 2401 5065 2395 5065 2398 5066 2400 5066 2395 5066 2398 5067 2399 5067 2400 5067 2411 5068 2403 5068 2402 5068 2410 5069 2411 5069 2402 5069 2404 5070 2410 5070 2402 5070 2404 5071 2407 5071 2410 5071 2417 5072 2413 5072 2412 5072 2416 5073 2417 5073 2412 5073 2414 5074 2416 5074 2412 5074 2414 5075 2415 5075 2416 5075 2423 5076 2419 5076 2418 5076 2422 5077 2423 5077 2418 5077 2420 5078 2422 5078 2418 5078 2420 5079 2421 5079 2422 5079 2448 5080 2449 5080 2450 5080 2451 5081 2450 5081 2449 5081 2452 5082 2450 5082 2453 5082 2454 5083 2453 5083 2450 5083 2455 5084 2450 5084 2452 5084 2456 5085 2457 5085 2450 5085 2458 5086 2450 5086 2457 5086 2459 5087 2456 5087 2450 5087 2460 5088 2459 5088 2450 5088 2461 5089 2448 5089 2450 5089 2458 5090 2461 5090 2450 5090 2455 5091 2460 5091 2450 5091 2454 5092 2450 5092 2451 5092 2462 5093 2463 5093 2449 5093 2464 5094 2449 5094 2463 5094 2448 5095 2462 5095 2449 5095 2464 5096 2451 5096 2449 5096 2465 5097 2466 5097 2463 5097 2467 5098 2463 5098 2466 5098 2465 5099 2463 5099 2462 5099 2464 5100 2463 5100 2467 5100 2468 5101 2469 5101 2466 5101 2470 5102 2466 5102 2469 5102 2471 5103 2468 5103 2466 5103 2465 5104 2471 5104 2466 5104 2467 5105 2466 5105 2470 5105 2472 5106 2453 5106 2469 5106 2473 5107 2469 5107 2453 5107 2468 5108 2472 5108 2469 5108 2470 5109 2469 5109 2473 5109 2474 5110 2452 5110 2453 5110 2472 5111 2474 5111 2453 5111 2473 5112 2453 5112 2454 5112 2475 5113 2476 5113 2477 5113 2478 5114 2477 5114 2476 5114 2479 5115 2477 5115 2480 5115 2481 5116 2480 5116 2477 5116 2479 5117 2475 5117 2477 5117 2481 5118 2477 5118 2478 5118 2482 5119 2483 5119 2476 5119 2484 5120 2476 5120 2483 5120 2475 5121 2482 5121 2476 5121 2484 5122 2478 5122 2476 5122 2482 5123 2485 5123 2483 5123 2486 5124 2483 5124 2485 5124 2484 5125 2483 5125 2486 5125 2487 5126 2488 5126 2485 5126 2489 5127 2485 5127 2488 5127 2482 5128 2487 5128 2485 5128 2486 5129 2485 5129 2489 5129 2479 5130 2480 5130 2488 5130 2490 5131 2488 5131 2480 5131 2487 5132 2491 5132 2488 5132 2479 5133 2488 5133 2491 5133 2489 5134 2488 5134 2490 5134 2490 5135 2480 5135 2481 5135 2455 5136 2492 5136 2493 5136 2494 5137 2493 5137 2492 5137 2495 5138 2493 5138 2496 5138 2497 5139 2496 5139 2493 5139 2495 5140 2498 5140 2493 5140 2455 5141 2493 5141 2498 5141 2497 5142 2493 5142 2494 5142 2455 5143 2452 5143 2492 5143 2499 5144 2492 5144 2452 5144 2499 5145 2494 5145 2492 5145 2474 5146 2500 5146 2452 5146 2501 5147 2452 5147 2500 5147 2499 5148 2452 5148 2501 5148 2502 5149 2503 5149 2500 5149 2504 5150 2500 5150 2503 5150 2474 5151 2502 5151 2500 5151 2501 5152 2500 5152 2504 5152 2505 5153 2496 5153 2503 5153 2506 5154 2503 5154 2496 5154 2502 5155 2505 5155 2503 5155 2504 5156 2503 5156 2506 5156 2507 5157 2495 5157 2496 5157 2505 5158 2507 5158 2496 5158 2506 5159 2496 5159 2497 5159 2508 5160 2509 5160 2510 5160 1682 5161 2510 5161 2509 5161 2511 5162 2510 5162 2512 5162 2513 5163 2512 5163 2510 5163 2511 5164 2508 5164 2510 5164 2513 5165 2510 5165 1682 5165 2508 5166 2514 5166 2509 5166 1533 5167 2509 5167 2514 5167 1682 5168 2509 5168 1533 5168 2508 5169 2515 5169 2514 5169 2516 5170 2514 5170 2515 5170 1533 5171 2514 5171 2516 5171 2508 5172 2457 5172 2515 5172 1365 5173 2515 5173 2457 5173 2516 5174 2515 5174 1365 5174 1348 5175 2457 5175 2456 5175 2517 5176 2458 5176 2457 5176 2518 5177 2517 5177 2457 5177 2519 5178 2518 5178 2457 5178 2508 5179 2519 5179 2457 5179 1365 5180 2457 5180 1348 5180 2520 5181 2456 5181 2459 5181 1348 5182 2456 5182 2520 5182 2521 5183 2522 5183 2459 5183 1529 5184 2459 5184 2522 5184 2460 5185 2521 5185 2459 5185 2520 5186 2459 5186 1529 5186 2521 5187 2523 5187 2522 5187 1530 5188 2522 5188 2523 5188 1529 5189 2522 5189 1530 5189 2524 5190 2525 5190 2523 5190 2526 5191 2523 5191 2525 5191 2521 5192 2524 5192 2523 5192 1530 5193 2523 5193 2526 5193 2527 5194 2528 5194 2525 5194 1531 5195 2525 5195 2528 5195 2524 5196 2527 5196 2525 5196 2526 5197 2525 5197 1531 5197 2529 5198 2512 5198 2528 5198 1534 5199 2528 5199 2512 5199 2527 5200 2529 5200 2528 5200 1531 5201 2528 5201 1534 5201 2529 5202 2511 5202 2512 5202 2513 5203 1534 5203 2512 5203 2530 5204 2531 5204 2532 5204 2533 5205 2532 5205 2531 5205 2534 5206 2532 5206 2535 5206 2536 5207 2535 5207 2532 5207 2534 5208 2530 5208 2532 5208 2536 5209 2532 5209 2533 5209 2537 5210 2538 5210 2531 5210 2539 5211 2531 5211 2538 5211 2530 5212 2537 5212 2531 5212 2533 5213 2531 5213 2539 5213 2537 5214 2540 5214 2538 5214 2541 5215 2538 5215 2540 5215 2539 5216 2538 5216 2541 5216 2542 5217 2543 5217 2540 5217 2544 5218 2540 5218 2543 5218 2537 5219 2542 5219 2540 5219 2541 5220 2540 5220 2544 5220 2542 5221 2545 5221 2543 5221 2546 5222 2543 5222 2545 5222 2544 5223 2543 5223 2546 5223 2542 5224 2547 5224 2545 5224 2548 5225 2545 5225 2547 5225 2546 5226 2545 5226 2548 5226 2549 5227 2550 5227 2547 5227 2551 5228 2547 5228 2550 5228 2549 5229 2547 5229 2542 5229 2551 5230 2548 5230 2547 5230 2549 5231 2552 5231 2550 5231 2553 5232 2550 5232 2552 5232 2551 5233 2550 5233 2553 5233 2534 5234 2535 5234 2552 5234 2554 5235 2552 5235 2535 5235 2549 5236 2534 5236 2552 5236 2553 5237 2552 5237 2554 5237 2554 5238 2535 5238 2536 5238 2487 5239 2555 5239 2491 5239 2556 5240 2491 5240 2555 5240 2479 5241 2491 5241 2557 5241 2558 5242 2557 5242 2491 5242 2558 5243 2491 5243 2556 5243 2487 5244 2559 5244 2555 5244 2560 5245 2555 5245 2559 5245 2560 5246 2556 5246 2555 5246 2455 5247 2498 5247 2559 5247 2561 5248 2559 5248 2498 5248 2487 5249 2455 5249 2559 5249 2560 5250 2559 5250 2561 5250 2562 5251 2498 5251 2495 5251 2561 5252 2498 5252 2562 5252 2563 5253 2495 5253 2507 5253 2562 5254 2495 5254 2563 5254 2564 5255 2507 5255 2505 5255 2563 5256 2507 5256 2564 5256 2565 5257 2505 5257 2502 5257 2564 5258 2505 5258 2565 5258 2566 5259 2502 5259 2474 5259 2565 5260 2502 5260 2566 5260 2567 5261 2474 5261 2472 5261 2566 5262 2474 5262 2567 5262 2568 5263 2472 5263 2468 5263 2567 5264 2472 5264 2568 5264 2569 5265 2468 5265 2471 5265 2568 5266 2468 5266 2569 5266 2465 5267 2570 5267 2471 5267 2571 5268 2471 5268 2570 5268 2569 5269 2471 5269 2571 5269 2465 5270 2572 5270 2570 5270 2573 5271 2570 5271 2572 5271 2571 5272 2570 5272 2573 5272 2465 5273 2574 5273 2572 5273 2575 5274 2572 5274 2574 5274 2573 5275 2572 5275 2575 5275 2479 5276 2557 5276 2574 5276 2576 5277 2574 5277 2557 5277 2465 5278 2479 5278 2574 5278 2575 5279 2574 5279 2576 5279 2576 5280 2557 5280 2558 5280 2577 5281 2578 5281 2462 5281 2579 5282 2462 5282 2578 5282 2580 5283 2577 5283 2462 5283 2581 5284 2580 5284 2462 5284 2582 5285 2581 5285 2462 5285 2448 5286 2582 5286 2462 5286 2583 5287 2465 5287 2462 5287 2583 5288 2462 5288 2579 5288 2549 5289 2584 5289 2578 5289 2585 5290 2578 5290 2584 5290 2577 5291 2549 5291 2578 5291 2579 5292 2578 5292 2585 5292 2549 5293 2542 5293 2584 5293 2586 5294 2584 5294 2542 5294 2585 5295 2584 5295 2586 5295 2587 5296 2542 5296 2537 5296 2586 5297 2542 5297 2587 5297 2588 5298 2537 5298 2530 5298 2589 5299 2587 5299 2537 5299 2589 5300 2537 5300 2588 5300 2590 5301 2591 5301 2530 5301 2588 5302 2530 5302 2591 5302 2534 5303 2590 5303 2530 5303 2590 5304 2592 5304 2591 5304 2593 5305 2591 5305 2592 5305 2588 5306 2591 5306 2593 5306 2594 5307 2592 5307 2590 5307 2595 5308 2593 5308 2592 5308 2594 5309 2595 5309 2592 5309 2596 5310 2590 5310 2534 5310 2596 5311 2594 5311 2590 5311 2597 5312 2534 5312 2549 5312 2597 5313 2596 5313 2534 5313 2598 5314 2549 5314 2577 5314 2597 5315 2549 5315 2598 5315 2599 5316 2577 5316 2580 5316 2598 5317 2577 5317 2599 5317 2600 5318 2580 5318 2581 5318 2599 5319 2580 5319 2600 5319 2601 5320 2581 5320 2582 5320 2600 5321 2581 5321 2601 5321 2602 5322 2582 5322 2448 5322 2601 5323 2582 5323 2602 5323 2603 5324 2604 5324 2448 5324 2605 5325 2448 5325 2604 5325 2461 5326 2603 5326 2448 5326 2602 5327 2448 5327 2605 5327 2603 5328 2606 5328 2604 5328 2607 5329 2604 5329 2606 5329 2605 5330 2604 5330 2607 5330 2608 5331 2606 5331 2603 5331 2608 5332 2607 5332 2606 5332 2609 5333 2603 5333 2461 5333 2609 5334 2608 5334 2603 5334 2610 5335 2461 5335 2458 5335 2610 5336 2609 5336 2461 5336 2611 5337 2458 5337 2517 5337 2610 5338 2458 5338 2611 5338 2612 5339 2517 5339 2518 5339 2611 5340 2517 5340 2612 5340 2613 5341 2518 5341 2519 5341 2612 5342 2518 5342 2613 5342 2614 5343 2519 5343 2508 5343 2613 5344 2519 5344 2614 5344 2615 5345 2508 5345 2511 5345 2614 5346 2508 5346 2615 5346 2616 5347 2511 5347 2529 5347 2615 5348 2511 5348 2616 5348 2617 5349 2618 5349 2529 5349 2619 5350 2529 5350 2618 5350 2527 5351 2617 5351 2529 5351 2616 5352 2529 5352 2619 5352 2620 5353 2618 5353 2617 5353 2619 5354 2618 5354 2620 5354 2621 5355 2617 5355 2527 5355 2620 5356 2617 5356 2621 5356 2622 5357 2527 5357 2524 5357 2621 5358 2527 5358 2622 5358 2623 5359 2524 5359 2521 5359 2622 5360 2524 5360 2623 5360 2624 5361 2521 5361 2460 5361 2623 5362 2521 5362 2624 5362 2625 5363 2460 5363 2455 5363 2624 5364 2460 5364 2625 5364 2626 5365 2455 5365 2487 5365 2625 5366 2455 5366 2626 5366 2627 5367 2487 5367 2482 5367 2626 5368 2487 5368 2627 5368 2628 5369 2482 5369 2475 5369 2627 5370 2482 5370 2628 5370 2629 5371 2475 5371 2479 5371 2628 5372 2475 5372 2629 5372 2630 5373 2479 5373 2465 5373 2629 5374 2479 5374 2630 5374 2630 5375 2465 5375 2583 5375 2631 5376 2632 5376 2633 5376 2634 5377 2633 5377 2632 5377 2631 5378 2633 5378 2635 5378 2636 5379 2635 5379 2633 5379 2636 5380 2633 5380 2634 5380 2637 5381 2638 5381 2632 5381 2639 5382 2632 5382 2638 5382 2631 5383 2637 5383 2632 5383 2639 5384 2634 5384 2632 5384 2585 5385 2640 5385 2638 5385 2641 5386 2638 5386 2640 5386 2585 5387 2638 5387 2637 5387 2639 5388 2638 5388 2641 5388 2585 5389 2642 5389 2640 5389 2643 5390 2640 5390 2642 5390 2641 5391 2640 5391 2643 5391 2585 5392 2644 5392 2642 5392 2645 5393 2642 5393 2644 5393 2643 5394 2642 5394 2645 5394 2646 5395 2647 5395 2644 5395 2648 5396 2644 5396 2647 5396 2649 5397 2644 5397 2585 5397 2649 5398 2646 5398 2644 5398 2645 5399 2644 5399 2648 5399 2599 5400 2650 5400 2647 5400 2651 5401 2647 5401 2650 5401 2652 5402 2599 5402 2647 5402 2646 5403 2652 5403 2647 5403 2648 5404 2647 5404 2651 5404 2599 5405 2653 5405 2650 5405 2654 5406 2650 5406 2653 5406 2651 5407 2650 5407 2654 5407 2605 5408 2655 5408 2653 5408 2656 5409 2653 5409 2655 5409 2602 5410 2605 5410 2653 5410 2601 5411 2602 5411 2653 5411 2600 5412 2601 5412 2653 5412 2599 5413 2600 5413 2653 5413 2654 5414 2653 5414 2656 5414 2607 5415 2657 5415 2655 5415 2658 5416 2655 5416 2657 5416 2605 5417 2607 5417 2655 5417 2656 5418 2655 5418 2658 5418 2607 5419 2659 5419 2657 5419 2660 5420 2657 5420 2659 5420 2658 5421 2657 5421 2660 5421 2661 5422 2635 5422 2659 5422 2662 5423 2659 5423 2635 5423 2663 5424 2661 5424 2659 5424 2607 5425 2663 5425 2659 5425 2660 5426 2659 5426 2662 5426 2661 5427 2631 5427 2635 5427 2662 5428 2635 5428 2636 5428 2664 5429 2665 5429 2666 5429 2667 5430 2666 5430 2665 5430 2664 5431 2666 5431 2668 5431 2669 5432 2668 5432 2666 5432 2669 5433 2666 5433 2667 5433 2664 5434 2670 5434 2665 5434 2671 5435 2665 5435 2670 5435 2667 5436 2665 5436 2671 5436 2664 5437 2672 5437 2670 5437 2673 5438 2670 5438 2672 5438 2671 5439 2670 5439 2673 5439 2674 5440 2675 5440 2672 5440 2676 5441 2672 5441 2675 5441 2677 5442 2674 5442 2672 5442 2664 5443 2677 5443 2672 5443 2673 5444 2672 5444 2676 5444 2678 5445 2679 5445 2675 5445 2680 5446 2675 5446 2679 5446 2674 5447 2678 5447 2675 5447 2676 5448 2675 5448 2680 5448 2624 5449 2681 5449 2679 5449 2682 5450 2679 5450 2681 5450 2683 5451 2679 5451 2678 5451 2684 5452 2679 5452 2683 5452 2685 5453 2686 5453 2679 5453 2623 5454 2679 5454 2686 5454 2687 5455 2685 5455 2679 5455 2688 5456 2687 5456 2679 5456 2689 5457 2688 5457 2679 5457 2684 5458 2689 5458 2679 5458 2623 5459 2624 5459 2679 5459 2680 5460 2679 5460 2682 5460 2501 5461 2690 5461 2681 5461 2691 5462 2681 5462 2690 5462 2626 5463 2501 5463 2681 5463 2625 5464 2626 5464 2681 5464 2624 5465 2625 5465 2681 5465 2682 5466 2681 5466 2691 5466 2451 5467 2692 5467 2690 5467 2693 5468 2690 5468 2692 5468 2501 5469 2451 5469 2690 5469 2691 5470 2690 5470 2693 5470 2585 5471 2694 5471 2692 5471 2695 5472 2692 5472 2694 5472 2585 5473 2692 5473 2451 5473 2693 5474 2692 5474 2695 5474 2696 5475 2697 5475 2694 5475 2698 5476 2694 5476 2697 5476 2585 5477 2696 5477 2694 5477 2695 5478 2694 5478 2698 5478 2699 5479 2668 5479 2697 5479 2700 5480 2697 5480 2668 5480 2696 5481 2699 5481 2697 5481 2700 5482 2698 5482 2697 5482 2701 5483 2664 5483 2668 5483 2699 5484 2701 5484 2668 5484 2700 5485 2668 5485 2669 5485 2702 5486 2703 5486 2704 5486 2705 5487 2704 5487 2703 5487 2616 5488 2704 5488 2706 5488 2707 5489 2706 5489 2704 5489 2702 5490 2704 5490 2708 5490 2619 5491 2708 5491 2704 5491 2616 5492 2619 5492 2704 5492 2707 5493 2704 5493 2705 5493 2709 5494 2710 5494 2703 5494 2711 5495 2703 5495 2710 5495 2702 5496 2709 5496 2703 5496 2711 5497 2705 5497 2703 5497 2712 5498 2713 5498 2710 5498 2714 5499 2710 5499 2713 5499 2709 5500 2712 5500 2710 5500 2714 5501 2711 5501 2710 5501 2683 5502 2678 5502 2713 5502 2715 5503 2713 5503 2678 5503 2712 5504 2683 5504 2713 5504 2715 5505 2714 5505 2713 5505 2716 5506 2717 5506 2678 5506 2718 5507 2678 5507 2717 5507 2719 5508 2716 5508 2678 5508 2720 5509 2719 5509 2678 5509 2721 5510 2720 5510 2678 5510 2674 5511 2721 5511 2678 5511 2718 5512 2715 5512 2678 5512 2616 5513 2722 5513 2717 5513 2723 5514 2717 5514 2722 5514 2724 5515 2717 5515 2716 5515 2616 5516 2717 5516 2724 5516 2723 5517 2718 5517 2717 5517 2616 5518 2706 5518 2722 5518 2725 5519 2722 5519 2706 5519 2725 5520 2723 5520 2722 5520 2707 5521 2725 5521 2706 5521 2726 5522 2727 5522 2708 5522 2728 5523 2708 5523 2727 5523 2729 5524 2702 5524 2708 5524 2726 5525 2708 5525 2730 5525 2619 5526 2730 5526 2708 5526 2729 5527 2708 5527 2728 5527 2731 5528 2732 5528 2727 5528 2733 5529 2727 5529 2732 5529 2726 5530 2731 5530 2727 5530 2733 5531 2728 5531 2727 5531 2734 5532 2735 5532 2732 5532 2736 5533 2732 5533 2735 5533 2731 5534 2734 5534 2732 5534 2736 5535 2733 5535 2732 5535 2684 5536 2683 5536 2735 5536 2737 5537 2735 5537 2683 5537 2734 5538 2684 5538 2735 5538 2737 5539 2736 5539 2735 5539 2738 5540 2683 5540 2712 5540 2738 5541 2737 5541 2683 5541 2739 5542 2712 5542 2709 5542 2739 5543 2738 5543 2712 5543 2740 5544 2709 5544 2702 5544 2740 5545 2739 5545 2709 5545 2729 5546 2740 5546 2702 5546 2741 5547 2686 5547 2685 5547 2730 5548 2686 5548 2742 5548 2743 5549 2742 5549 2686 5549 2619 5550 2686 5550 2730 5550 2619 5551 2623 5551 2686 5551 2743 5552 2686 5552 2741 5552 2744 5553 2685 5553 2687 5553 2744 5554 2741 5554 2685 5554 2745 5555 2687 5555 2688 5555 2745 5556 2744 5556 2687 5556 2746 5557 2688 5557 2689 5557 2746 5558 2745 5558 2688 5558 2747 5559 2748 5559 2689 5559 2749 5560 2689 5560 2748 5560 2684 5561 2747 5561 2689 5561 2749 5562 2746 5562 2689 5562 2750 5563 2751 5563 2748 5563 2752 5564 2748 5564 2751 5564 2747 5565 2750 5565 2748 5565 2752 5566 2749 5566 2748 5566 2753 5567 2742 5567 2751 5567 2754 5568 2751 5568 2742 5568 2750 5569 2753 5569 2751 5569 2754 5570 2752 5570 2751 5570 2753 5571 2730 5571 2742 5571 2743 5572 2754 5572 2742 5572 2755 5573 2730 5573 2753 5573 2756 5574 2726 5574 2730 5574 2756 5575 2730 5575 2755 5575 2757 5576 2753 5576 2750 5576 2757 5577 2755 5577 2753 5577 2758 5578 2750 5578 2747 5578 2758 5579 2757 5579 2750 5579 2759 5580 2747 5580 2684 5580 2759 5581 2758 5581 2747 5581 2760 5582 2684 5582 2734 5582 2760 5583 2759 5583 2684 5583 2761 5584 2734 5584 2731 5584 2761 5585 2760 5585 2734 5585 2762 5586 2731 5586 2726 5586 2762 5587 2761 5587 2731 5587 2756 5588 2762 5588 2726 5588 2763 5589 2454 5589 2451 5589 2585 5590 2451 5590 2464 5590 2501 5591 2504 5591 2451 5591 2763 5592 2451 5592 2504 5592 2764 5593 2473 5593 2454 5593 2764 5594 2454 5594 2763 5594 2765 5595 2470 5595 2473 5595 2764 5596 2765 5596 2473 5596 2579 5597 2467 5597 2470 5597 2765 5598 2766 5598 2470 5598 2579 5599 2470 5599 2766 5599 2579 5600 2464 5600 2467 5600 2579 5601 2585 5601 2464 5601 2630 5602 2481 5602 2478 5602 2630 5603 2478 5603 2484 5603 2583 5604 2490 5604 2481 5604 2630 5605 2583 5605 2481 5605 2628 5606 2489 5606 2490 5606 2767 5607 2768 5607 2490 5607 2628 5608 2490 5608 2768 5608 2583 5609 2767 5609 2490 5609 2628 5610 2486 5610 2489 5610 2629 5611 2484 5611 2486 5611 2628 5612 2629 5612 2486 5612 2629 5613 2630 5613 2484 5613 2627 5614 2497 5614 2494 5614 2627 5615 2494 5615 2499 5615 2769 5616 2506 5616 2497 5616 2770 5617 2769 5617 2497 5617 2627 5618 2770 5618 2497 5618 2771 5619 2504 5619 2506 5619 2769 5620 2771 5620 2506 5620 2771 5621 2763 5621 2504 5621 2626 5622 2499 5622 2501 5622 2626 5623 2627 5623 2499 5623 2719 5624 2772 5624 2716 5624 2773 5625 2716 5625 2772 5625 2724 5626 2716 5626 2774 5626 2775 5627 2774 5627 2716 5627 2775 5628 2716 5628 2773 5628 2776 5629 2777 5629 2772 5629 2778 5630 2772 5630 2777 5630 2719 5631 2776 5631 2772 5631 2778 5632 2773 5632 2772 5632 2776 5633 2779 5633 2777 5633 2780 5634 2777 5634 2779 5634 2778 5635 2777 5635 2780 5635 2776 5636 2781 5636 2779 5636 2782 5637 2779 5637 2781 5637 2780 5638 2779 5638 2782 5638 2776 5639 2783 5639 2781 5639 2784 5640 2781 5640 2783 5640 2782 5641 2781 5641 2784 5641 2776 5642 2785 5642 2783 5642 2786 5643 2783 5643 2785 5643 2784 5644 2783 5644 2786 5644 2787 5645 2788 5645 2785 5645 2789 5646 2785 5646 2788 5646 2790 5647 2787 5647 2785 5647 2776 5648 2790 5648 2785 5648 2786 5649 2785 5649 2789 5649 2791 5650 2792 5650 2788 5650 2793 5651 2788 5651 2792 5651 2787 5652 2791 5652 2788 5652 2789 5653 2788 5653 2793 5653 2794 5654 2795 5654 2792 5654 2796 5655 2792 5655 2795 5655 2791 5656 2794 5656 2792 5656 2793 5657 2792 5657 2796 5657 2797 5658 2798 5658 2795 5658 2799 5659 2795 5659 2798 5659 2794 5660 2797 5660 2795 5660 2796 5661 2795 5661 2799 5661 2800 5662 2774 5662 2798 5662 2801 5663 2798 5663 2774 5663 2797 5664 2800 5664 2798 5664 2799 5665 2798 5665 2801 5665 2800 5666 2724 5666 2774 5666 2801 5667 2774 5667 2775 5667 2802 5668 2724 5668 2800 5668 2616 5669 2724 5669 2803 5669 2804 5670 2803 5670 2724 5670 2804 5671 2724 5671 2802 5671 2805 5672 2800 5672 2797 5672 2805 5673 2802 5673 2800 5673 2806 5674 2797 5674 2794 5674 2805 5675 2797 5675 2806 5675 2807 5676 2794 5676 2791 5676 2806 5677 2794 5677 2807 5677 2808 5678 2791 5678 2787 5678 2807 5679 2791 5679 2808 5679 2809 5680 2787 5680 2790 5680 2808 5681 2787 5681 2809 5681 2810 5682 2811 5682 2790 5682 2812 5683 2790 5683 2811 5683 2813 5684 2814 5684 2790 5684 2810 5685 2790 5685 2814 5685 2776 5686 2813 5686 2790 5686 2809 5687 2790 5687 2812 5687 2607 5688 2815 5688 2811 5688 2816 5689 2811 5689 2815 5689 2810 5690 2817 5690 2811 5690 2607 5691 2811 5691 2817 5691 2812 5692 2811 5692 2816 5692 2616 5693 2818 5693 2815 5693 2819 5694 2815 5694 2818 5694 2607 5695 2616 5695 2815 5695 2816 5696 2815 5696 2819 5696 2616 5697 2820 5697 2818 5697 2821 5698 2818 5698 2820 5698 2819 5699 2818 5699 2821 5699 2616 5700 2803 5700 2820 5700 2822 5701 2820 5701 2803 5701 2821 5702 2820 5702 2822 5702 2822 5703 2803 5703 2804 5703 2823 5704 2814 5704 2813 5704 2810 5705 2814 5705 2824 5705 2825 5706 2824 5706 2814 5706 2825 5707 2814 5707 2823 5707 2826 5708 2813 5708 2776 5708 2823 5709 2813 5709 2826 5709 2827 5710 2776 5710 2719 5710 2826 5711 2776 5711 2827 5711 2828 5712 2719 5712 2720 5712 2827 5713 2719 5713 2828 5713 2829 5714 2720 5714 2721 5714 2829 5715 2828 5715 2720 5715 2830 5716 2721 5716 2674 5716 2829 5717 2721 5717 2830 5717 2831 5718 2674 5718 2677 5718 2830 5719 2674 5719 2831 5719 2832 5720 2677 5720 2664 5720 2831 5721 2677 5721 2832 5721 2833 5722 2664 5722 2701 5722 2832 5723 2664 5723 2833 5723 2834 5724 2701 5724 2699 5724 2833 5725 2701 5725 2834 5725 2835 5726 2699 5726 2696 5726 2834 5727 2699 5727 2835 5727 2585 5728 2836 5728 2696 5728 2837 5729 2696 5729 2836 5729 2835 5730 2696 5730 2837 5730 2838 5731 2839 5731 2836 5731 2840 5732 2836 5732 2839 5732 2585 5733 2838 5733 2836 5733 2837 5734 2836 5734 2840 5734 2841 5735 2824 5735 2839 5735 2842 5736 2839 5736 2824 5736 2838 5737 2841 5737 2839 5737 2840 5738 2839 5738 2842 5738 2843 5739 2810 5739 2824 5739 2841 5740 2843 5740 2824 5740 2842 5741 2824 5741 2825 5741 2607 5742 2844 5742 2845 5742 2846 5743 2845 5743 2844 5743 2847 5744 2848 5744 2845 5744 2607 5745 2845 5745 2848 5745 2849 5746 2847 5746 2845 5746 2849 5747 2845 5747 2850 5747 2846 5748 2850 5748 2845 5748 2607 5749 2817 5749 2844 5749 2846 5750 2844 5750 2817 5750 2851 5751 2817 5751 2810 5751 2846 5752 2817 5752 2851 5752 2852 5753 2810 5753 2843 5753 2851 5754 2810 5754 2852 5754 2853 5755 2843 5755 2841 5755 2852 5756 2843 5756 2853 5756 2854 5757 2841 5757 2838 5757 2853 5758 2841 5758 2854 5758 2585 5759 2855 5759 2838 5759 2856 5760 2838 5760 2855 5760 2854 5761 2838 5761 2856 5761 2585 5762 2637 5762 2855 5762 2857 5763 2855 5763 2637 5763 2856 5764 2855 5764 2857 5764 2858 5765 2637 5765 2631 5765 2857 5766 2637 5766 2858 5766 2859 5767 2631 5767 2661 5767 2858 5768 2631 5768 2859 5768 2860 5769 2661 5769 2663 5769 2859 5770 2661 5770 2860 5770 2607 5771 2861 5771 2663 5771 2862 5772 2663 5772 2861 5772 2860 5773 2663 5773 2862 5773 2607 5774 2863 5774 2861 5774 2864 5775 2861 5775 2863 5775 2862 5776 2861 5776 2864 5776 2607 5777 2865 5777 2863 5777 2866 5778 2863 5778 2865 5778 2864 5779 2863 5779 2866 5779 2607 5780 2867 5780 2865 5780 2868 5781 2865 5781 2867 5781 2866 5782 2865 5782 2868 5782 2607 5783 2848 5783 2867 5783 2869 5784 2867 5784 2848 5784 2868 5785 2867 5785 2869 5785 2847 5786 2870 5786 2848 5786 2871 5787 2848 5787 2870 5787 2872 5788 2848 5788 2871 5788 2869 5789 2848 5789 2872 5789 2871 5790 2870 5790 2847 5790 2871 5791 2847 5791 2849 5791 2873 5792 2763 5792 2771 5792 2874 5793 2764 5793 2763 5793 2874 5794 2763 5794 2873 5794 2875 5795 2771 5795 2769 5795 2875 5796 2873 5796 2771 5796 2876 5797 2769 5797 2770 5797 2875 5798 2769 5798 2876 5798 2627 5799 2877 5799 2770 5799 2878 5800 2770 5800 2877 5800 2876 5801 2770 5801 2878 5801 2627 5802 2879 5802 2877 5802 2880 5803 2877 5803 2879 5803 2878 5804 2877 5804 2880 5804 2627 5805 2881 5805 2879 5805 2882 5806 2879 5806 2881 5806 2880 5807 2879 5807 2882 5807 2627 5808 2883 5808 2881 5808 2884 5809 2881 5809 2883 5809 2882 5810 2881 5810 2884 5810 2628 5811 2768 5811 2883 5811 2885 5812 2883 5812 2768 5812 2627 5813 2628 5813 2883 5813 2884 5814 2883 5814 2885 5814 2886 5815 2768 5815 2767 5815 2885 5816 2768 5816 2886 5816 2583 5817 2887 5817 2767 5817 2888 5818 2767 5818 2887 5818 2886 5819 2767 5819 2888 5819 2583 5820 2889 5820 2887 5820 2890 5821 2887 5821 2889 5821 2888 5822 2887 5822 2890 5822 2579 5823 2891 5823 2889 5823 2892 5824 2889 5824 2891 5824 2583 5825 2579 5825 2889 5825 2890 5826 2889 5826 2892 5826 2579 5827 2766 5827 2891 5827 2893 5828 2891 5828 2766 5828 2892 5829 2891 5829 2893 5829 2894 5830 2766 5830 2765 5830 2893 5831 2766 5831 2894 5831 2895 5832 2765 5832 2764 5832 2894 5833 2765 5833 2895 5833 2895 5834 2764 5834 2874 5834 2649 5835 2586 5835 2587 5835 2896 5836 2649 5836 2587 5836 2589 5837 2896 5837 2587 5837 2649 5838 2585 5838 2586 5838 2619 5839 2622 5839 2623 5839 2620 5840 2621 5840 2622 5840 2619 5841 2620 5841 2622 5841 2615 5842 2616 5842 2607 5842 2615 5843 2607 5843 2608 5843 2897 5844 2598 5844 2599 5844 2898 5845 2897 5845 2599 5845 2899 5846 2898 5846 2599 5846 2900 5847 2899 5847 2599 5847 2901 5848 2900 5848 2599 5848 2652 5849 2901 5849 2599 5849 2902 5850 2598 5850 2897 5850 2903 5851 2597 5851 2598 5851 2903 5852 2598 5852 2902 5852 2904 5853 2897 5853 2898 5853 2902 5854 2897 5854 2904 5854 2899 5855 2905 5855 2898 5855 2904 5856 2898 5856 2905 5856 2906 5857 2907 5857 2905 5857 2908 5858 2905 5858 2907 5858 2909 5859 2906 5859 2905 5859 2899 5860 2909 5860 2905 5860 2904 5861 2905 5861 2908 5861 2910 5862 2907 5862 2906 5862 2910 5863 2911 5863 2907 5863 2912 5864 2907 5864 2911 5864 2908 5865 2907 5865 2912 5865 2913 5866 2906 5866 2909 5866 2913 5867 2910 5867 2906 5867 2914 5868 2909 5868 2899 5868 2913 5869 2909 5869 2914 5869 2915 5870 2899 5870 2900 5870 2914 5871 2899 5871 2915 5871 2916 5872 2900 5872 2901 5872 2915 5873 2900 5873 2916 5873 2917 5874 2901 5874 2652 5874 2917 5875 2916 5875 2901 5875 2918 5876 2652 5876 2646 5876 2917 5877 2652 5877 2918 5877 2919 5878 2646 5878 2649 5878 2918 5879 2646 5879 2919 5879 2920 5880 2649 5880 2896 5880 2919 5881 2649 5881 2920 5881 2589 5882 2921 5882 2896 5882 2922 5883 2896 5883 2921 5883 2920 5884 2896 5884 2922 5884 2589 5885 2923 5885 2921 5885 2924 5886 2921 5886 2923 5886 2922 5887 2921 5887 2924 5887 2589 5888 2925 5888 2923 5888 2926 5889 2923 5889 2925 5889 2924 5890 2923 5890 2926 5890 2589 5891 2927 5891 2925 5891 2928 5892 2925 5892 2927 5892 2926 5893 2925 5893 2928 5893 2929 5894 2930 5894 2927 5894 2931 5895 2927 5895 2930 5895 2589 5896 2929 5896 2927 5896 2928 5897 2927 5897 2931 5897 2932 5898 2930 5898 2929 5898 2933 5899 2934 5899 2930 5899 2931 5900 2930 5900 2934 5900 2932 5901 2933 5901 2930 5901 2589 5902 2935 5902 2929 5902 2932 5903 2929 5903 2935 5903 2589 5904 2936 5904 2935 5904 2937 5905 2935 5905 2936 5905 2937 5906 2932 5906 2935 5906 2588 5907 2938 5907 2936 5907 2937 5908 2936 5908 2938 5908 2589 5909 2588 5909 2936 5909 2588 5910 2939 5910 2938 5910 2940 5911 2938 5911 2939 5911 2940 5912 2937 5912 2938 5912 2588 5913 2593 5913 2939 5913 2940 5914 2939 5914 2593 5914 2595 5915 2940 5915 2593 5915 2933 5916 2941 5916 2934 5916 2926 5917 2934 5917 2941 5917 2928 5918 2931 5918 2934 5918 2926 5919 2928 5919 2934 5919 2942 5920 2911 5920 2941 5920 2924 5921 2941 5921 2911 5921 2943 5922 2942 5922 2941 5922 2933 5923 2943 5923 2941 5923 2924 5924 2926 5924 2941 5924 2914 5925 2911 5925 2910 5925 2942 5926 2912 5926 2911 5926 2914 5927 2915 5927 2911 5927 2924 5928 2911 5928 2915 5928 2913 5929 2914 5929 2910 5929 2908 5930 2912 5930 2942 5930 2908 5931 2942 5931 2943 5931 2944 5932 2943 5932 2933 5932 2945 5933 2908 5933 2943 5933 2946 5934 2943 5934 2944 5934 2945 5935 2943 5935 2946 5935 2947 5936 2933 5936 2932 5936 2948 5937 2944 5937 2933 5937 2949 5938 2948 5938 2933 5938 2950 5939 2949 5939 2933 5939 2947 5940 2951 5940 2933 5940 2952 5941 2933 5941 2951 5941 2950 5942 2933 5942 2952 5942 2953 5943 2932 5943 2937 5943 2954 5944 2955 5944 2932 5944 2956 5945 2932 5945 2955 5945 2953 5946 2954 5946 2932 5946 2956 5947 2957 5947 2932 5947 2958 5948 2932 5948 2957 5948 2958 5949 2947 5949 2932 5949 2959 5950 2937 5950 2940 5950 2953 5951 2937 5951 2959 5951 2956 5952 2940 5952 2595 5952 2960 5953 2959 5953 2940 5953 2961 5954 2960 5954 2940 5954 2956 5955 2961 5955 2940 5955 2594 5956 2962 5956 2595 5956 2963 5957 2595 5957 2962 5957 2964 5958 2956 5958 2595 5958 2965 5959 2964 5959 2595 5959 2966 5960 2965 5960 2595 5960 2967 5961 2966 5961 2595 5961 2963 5962 2967 5962 2595 5962 2596 5963 2962 5963 2594 5963 2968 5964 2962 5964 2596 5964 2969 5965 2962 5965 2968 5965 2970 5966 2962 5966 2969 5966 2963 5967 2962 5967 2970 5967 2903 5968 2596 5968 2597 5968 2968 5969 2596 5969 2903 5969 2971 5970 2548 5970 2972 5970 2551 5971 2972 5971 2548 5971 2973 5972 2971 5972 2972 5972 2974 5973 2972 5973 2551 5973 2975 5974 2972 5974 2974 5974 2973 5975 2972 5975 2975 5975 2971 5976 2546 5976 2548 5976 2976 5977 2544 5977 2546 5977 2971 5978 2976 5978 2546 5978 2977 5979 2541 5979 2544 5979 2976 5980 2977 5980 2544 5980 2978 5981 2539 5981 2541 5981 2977 5982 2978 5982 2541 5982 2979 5983 2533 5983 2539 5983 2978 5984 2979 5984 2539 5984 2980 5985 2533 5985 2979 5985 2980 5986 2536 5986 2533 5986 2981 5987 2979 5987 2978 5987 2982 5988 2980 5988 2979 5988 2982 5989 2979 5989 2981 5989 2983 5990 2978 5990 2977 5990 2981 5991 2978 5991 2983 5991 2984 5992 2977 5992 2976 5992 2983 5993 2977 5993 2984 5993 2985 5994 2976 5994 2971 5994 2984 5995 2976 5995 2985 5995 2985 5996 2971 5996 2973 5996 2986 5997 2554 5997 2536 5997 2980 5998 2986 5998 2536 5998 2987 5999 2553 5999 2554 5999 2986 6000 2987 6000 2554 6000 2974 6001 2551 6001 2553 6001 2987 6002 2974 6002 2553 6002 2988 6003 2974 6003 2987 6003 2988 6004 2975 6004 2974 6004 2989 6005 2987 6005 2986 6005 2988 6006 2987 6006 2989 6006 2990 6007 2986 6007 2980 6007 2989 6008 2986 6008 2990 6008 2990 6009 2980 6009 2982 6009 2671 6010 2695 6010 2698 6010 2667 6011 2671 6011 2698 6011 2700 6012 2667 6012 2698 6012 2673 6013 2693 6013 2695 6013 2671 6014 2673 6014 2695 6014 2676 6015 2691 6015 2693 6015 2673 6016 2676 6016 2693 6016 2680 6017 2682 6017 2691 6017 2676 6018 2680 6018 2691 6018 2700 6019 2669 6019 2667 6019 2660 6020 2636 6020 2634 6020 2658 6021 2660 6021 2634 6021 2656 6022 2658 6022 2634 6022 2639 6023 2656 6023 2634 6023 2660 6024 2662 6024 2636 6024 2639 6025 2654 6025 2656 6025 2641 6026 2651 6026 2654 6026 2639 6027 2641 6027 2654 6027 2645 6028 2648 6028 2651 6028 2643 6029 2645 6029 2651 6029 2641 6030 2643 6030 2651 6030 2922 6031 2915 6031 2916 6031 2920 6032 2922 6032 2916 6032 2917 6033 2920 6033 2916 6033 2922 6034 2924 6034 2915 6034 2917 6035 2919 6035 2920 6035 2917 6036 2918 6036 2919 6036 2834 6037 2827 6037 2828 6037 2829 6038 2834 6038 2828 6038 2834 6039 2826 6039 2827 6039 2834 6040 2823 6040 2826 6040 2842 6041 2825 6041 2823 6041 2840 6042 2842 6042 2823 6042 2837 6043 2840 6043 2823 6043 2835 6044 2837 6044 2823 6044 2834 6045 2835 6045 2823 6045 2829 6046 2833 6046 2834 6046 2830 6047 2832 6047 2833 6047 2829 6048 2830 6048 2833 6048 2830 6049 2831 6049 2832 6049 2853 6050 2849 6050 2850 6050 2846 6051 2853 6051 2850 6051 2853 6052 2871 6052 2849 6052 2869 6053 2872 6053 2871 6053 2868 6054 2869 6054 2871 6054 2853 6055 2868 6055 2871 6055 2853 6056 2866 6056 2868 6056 2853 6057 2864 6057 2866 6057 2853 6058 2862 6058 2864 6058 2853 6059 2860 6059 2862 6059 2858 6060 2859 6060 2860 6060 2857 6061 2858 6061 2860 6061 2856 6062 2857 6062 2860 6062 2854 6063 2856 6063 2860 6063 2853 6064 2854 6064 2860 6064 2851 6065 2852 6065 2853 6065 2846 6066 2851 6066 2853 6066 1534 6067 2705 6067 2711 6067 1534 6068 2707 6068 2705 6068 2740 6069 2711 6069 2714 6069 1534 6070 2711 6070 2740 6070 2738 6071 2714 6071 2715 6071 2739 6072 2714 6072 2738 6072 2740 6073 2714 6073 2739 6073 2738 6074 2715 6074 2718 6074 1365 6075 2718 6075 2723 6075 1348 6076 2738 6076 2718 6076 1365 6077 1348 6077 2718 6077 1365 6078 2723 6078 2725 6078 1534 6079 2725 6079 2707 6079 1365 6080 2725 6080 1534 6080 2762 6081 2728 6081 2733 6081 1534 6082 2729 6082 2728 6082 1534 6083 2728 6083 2762 6083 2762 6084 2733 6084 2736 6084 1348 6085 2736 6085 2737 6085 2761 6086 2736 6086 2760 6086 1348 6087 2760 6087 2736 6087 2762 6088 2736 6088 2761 6088 1348 6089 2737 6089 2738 6089 1534 6090 2740 6090 2729 6090 1531 6091 2741 6091 2744 6091 2755 6092 2743 6092 2741 6092 1534 6093 2755 6093 2741 6093 1531 6094 1534 6094 2741 6094 1531 6095 2744 6095 2745 6095 1348 6096 2745 6096 2746 6096 1348 6097 1531 6097 2745 6097 1348 6098 2746 6098 2749 6098 1348 6099 2749 6099 2752 6099 2758 6100 2752 6100 2754 6100 1348 6101 2752 6101 2758 6101 2755 6102 2754 6102 2743 6102 2757 6103 2754 6103 2755 6103 2758 6104 2754 6104 2757 6104 1534 6105 2756 6105 2755 6105 1348 6106 2758 6106 2759 6106 1348 6107 2759 6107 2760 6107 1534 6108 2762 6108 2756 6108 2888 6109 2558 6109 2556 6109 2886 6110 2888 6110 2556 6110 2560 6111 2886 6111 2556 6111 2890 6112 2576 6112 2558 6112 2888 6113 2890 6113 2558 6113 2892 6114 2575 6114 2576 6114 2890 6115 2892 6115 2576 6115 2893 6116 2573 6116 2575 6116 2892 6117 2893 6117 2575 6117 2894 6118 2571 6118 2573 6118 2893 6119 2894 6119 2573 6119 2895 6120 2569 6120 2571 6120 2894 6121 2895 6121 2571 6121 2874 6122 2568 6122 2569 6122 2895 6123 2874 6123 2569 6123 2873 6124 2567 6124 2568 6124 2874 6125 2873 6125 2568 6125 2875 6126 2567 6126 2873 6126 2875 6127 2566 6127 2567 6127 2885 6128 2886 6128 2560 6128 2876 6129 2565 6129 2566 6129 2875 6130 2876 6130 2566 6130 2878 6131 2564 6131 2565 6131 2876 6132 2878 6132 2565 6132 2880 6133 2563 6133 2564 6133 2878 6134 2880 6134 2564 6134 2882 6135 2562 6135 2563 6135 2880 6136 2882 6136 2563 6136 2884 6137 2561 6137 2562 6137 2882 6138 2884 6138 2562 6138 2885 6139 2560 6139 2561 6139 2884 6140 2885 6140 2561 6140 2816 6141 2615 6141 2608 6141 2609 6142 2816 6142 2608 6142 2775 6143 2773 6143 2615 6143 2778 6144 2615 6144 2773 6144 2801 6145 2775 6145 2615 6145 2799 6146 2801 6146 2615 6146 2805 6147 2799 6147 2615 6147 2614 6148 2615 6148 2778 6148 2804 6149 2802 6149 2615 6149 2805 6150 2615 6150 2802 6150 2822 6151 2804 6151 2615 6151 2821 6152 2822 6152 2615 6152 2819 6153 2821 6153 2615 6153 2816 6154 2819 6154 2615 6154 2513 6155 1365 6155 1534 6155 2520 6156 2526 6156 1531 6156 1348 6157 2520 6157 1531 6157 1529 6158 1530 6158 2526 6158 2520 6159 1529 6159 2526 6159 2513 6160 2516 6160 1365 6160 1682 6161 1533 6161 2516 6161 2513 6162 1682 6162 2516 6162 2991 6163 2904 6163 2908 6163 2992 6164 2993 6164 2908 6164 2991 6165 2908 6165 2993 6165 2994 6166 2992 6166 2908 6166 2995 6167 2994 6167 2908 6167 2945 6168 2995 6168 2908 6168 2996 6169 2902 6169 2904 6169 2997 6170 2996 6170 2904 6170 2998 6171 2997 6171 2904 6171 2991 6172 2998 6172 2904 6172 2999 6173 2903 6173 2902 6173 2999 6174 2902 6174 2996 6174 3000 6175 2968 6175 2903 6175 3001 6176 3002 6176 2903 6176 2991 6177 2903 6177 3002 6177 2999 6178 3001 6178 2903 6178 2991 6179 3003 6179 2903 6179 3004 6180 2903 6180 3003 6180 3004 6181 3000 6181 2903 6181 3005 6182 2969 6182 2968 6182 3006 6183 3005 6183 2968 6183 3007 6184 3006 6184 2968 6184 3008 6185 3009 6185 2968 6185 3007 6186 2968 6186 3009 6186 3000 6187 3008 6187 2968 6187 3010 6188 2969 6188 3005 6188 3011 6189 2970 6189 2969 6189 3011 6190 2969 6190 3010 6190 3012 6191 3005 6191 3006 6191 3010 6192 3005 6192 3012 6192 3013 6193 3014 6193 3006 6193 3015 6194 3006 6194 3014 6194 3007 6195 3013 6195 3006 6195 3012 6196 3006 6196 3015 6196 2963 6197 3016 6197 3014 6197 3017 6198 3014 6198 3016 6198 2963 6199 3014 6199 3013 6199 3015 6200 3014 6200 3017 6200 2963 6201 2970 6201 3016 6201 3018 6202 3016 6202 2970 6202 3018 6203 3017 6203 3016 6203 3018 6204 2970 6204 3011 6204 3019 6205 2996 6205 2997 6205 3020 6206 2999 6206 2996 6206 3020 6207 2996 6207 3019 6207 3021 6208 2997 6208 2998 6208 3019 6209 2997 6209 3021 6209 2991 6210 3002 6210 2998 6210 3022 6211 2998 6211 3002 6211 3021 6212 2998 6212 3022 6212 3023 6213 3002 6213 3001 6213 3022 6214 3002 6214 3023 6214 3024 6215 3001 6215 2999 6215 3024 6216 3023 6216 3001 6216 3024 6217 2999 6217 3020 6217 3025 6218 2944 6218 2948 6218 3026 6219 2946 6219 2944 6219 3026 6220 2944 6220 3025 6220 3027 6221 2948 6221 2949 6221 3025 6222 2948 6222 3027 6222 3028 6223 3029 6223 2949 6223 3030 6224 2949 6224 3029 6224 2950 6225 3028 6225 2949 6225 3027 6226 2949 6226 3030 6226 2945 6227 3031 6227 3029 6227 3032 6228 3029 6228 3031 6228 3028 6229 2945 6229 3029 6229 3030 6230 3029 6230 3032 6230 2945 6231 2946 6231 3031 6231 3033 6232 3031 6232 2946 6232 3033 6233 3032 6233 3031 6233 3033 6234 2946 6234 3026 6234 3034 6235 2959 6235 2960 6235 3035 6236 2953 6236 2959 6236 3035 6237 2959 6237 3034 6237 3036 6238 2960 6238 2961 6238 3034 6239 2960 6239 3036 6239 2956 6240 2955 6240 2961 6240 3037 6241 2961 6241 2955 6241 3036 6242 2961 6242 3037 6242 3038 6243 2955 6243 2954 6243 3037 6244 2955 6244 3038 6244 3039 6245 2954 6245 2953 6245 3039 6246 3038 6246 2954 6246 3039 6247 2953 6247 3035 6247 2958 6248 2957 6248 3040 6248 3041 6249 3040 6249 2957 6249 3042 6250 3040 6250 2966 6250 3043 6251 2966 6251 3040 6251 3042 6252 2958 6252 3040 6252 3043 6253 3040 6253 3041 6253 3044 6254 2957 6254 2956 6254 3044 6255 3041 6255 2957 6255 3045 6256 2956 6256 2964 6256 3044 6257 2956 6257 3045 6257 3046 6258 2964 6258 2965 6258 3045 6259 2964 6259 3046 6259 3047 6260 2965 6260 2966 6260 3046 6261 2965 6261 3047 6261 2967 6262 3042 6262 2966 6262 3047 6263 2966 6263 3043 6263 3048 6264 2993 6264 2992 6264 3049 6265 2991 6265 2993 6265 3049 6266 2993 6266 3048 6266 3050 6267 2992 6267 2994 6267 3050 6268 3048 6268 2992 6268 3051 6269 3052 6269 2994 6269 3053 6270 2994 6270 3052 6270 2995 6271 3051 6271 2994 6271 3050 6272 2994 6272 3053 6272 3004 6273 3003 6273 3052 6273 3054 6274 3052 6274 3003 6274 3004 6275 3052 6275 3051 6275 3053 6276 3052 6276 3054 6276 3055 6277 3003 6277 2991 6277 3054 6278 3003 6278 3055 6278 3055 6279 2991 6279 3049 6279 3056 6280 2951 6280 2947 6280 3057 6281 2952 6281 2951 6281 3057 6282 2951 6282 3056 6282 3058 6283 2947 6283 2958 6283 3058 6284 3056 6284 2947 6284 3059 6285 2958 6285 3042 6285 3058 6286 2958 6286 3059 6286 3060 6287 3061 6287 3042 6287 3062 6288 3042 6288 3061 6288 2967 6289 3060 6289 3042 6289 3059 6290 3042 6290 3062 6290 2950 6291 2952 6291 3061 6291 3063 6292 3061 6292 2952 6292 3060 6293 2950 6293 3061 6293 3062 6294 3061 6294 3063 6294 3063 6295 2952 6295 3057 6295 3064 6296 3065 6296 3051 6296 3066 6297 3051 6297 3065 6297 3067 6298 3004 6298 3051 6298 2995 6299 3064 6299 3051 6299 3067 6300 3051 6300 3066 6300 3007 6301 3009 6301 3065 6301 3068 6302 3065 6302 3009 6302 3064 6303 3007 6303 3065 6303 3068 6304 3066 6304 3065 6304 3069 6305 3009 6305 3008 6305 3068 6306 3009 6306 3069 6306 3070 6307 3008 6307 3000 6307 3069 6308 3008 6308 3070 6308 3071 6309 3000 6309 3004 6309 3070 6310 3000 6310 3071 6310 3071 6311 3004 6311 3067 6311 3072 6312 3013 6312 3007 6312 3073 6313 2963 6313 3013 6313 3073 6314 3013 6314 3072 6314 3074 6315 3007 6315 3064 6315 3074 6316 3072 6316 3007 6316 3075 6317 3064 6317 2995 6317 3074 6318 3064 6318 3075 6318 3076 6319 2995 6319 2945 6319 3075 6320 2995 6320 3076 6320 3077 6321 2945 6321 3028 6321 3076 6322 2945 6322 3077 6322 3078 6323 3028 6323 2950 6323 3077 6324 3028 6324 3078 6324 3079 6325 2950 6325 3060 6325 3078 6326 2950 6326 3079 6326 3080 6327 3060 6327 2967 6327 3079 6328 3060 6328 3080 6328 3081 6329 2967 6329 2963 6329 3080 6330 2967 6330 3081 6330 3081 6331 2963 6331 3073 6331 2988 6332 3082 6332 3083 6332 3078 6333 3083 6333 3082 6333 2975 6334 3083 6334 3084 6334 3079 6335 3084 6335 3083 6335 2988 6336 3083 6336 2975 6336 3078 6337 3079 6337 3083 6337 3085 6338 3086 6338 3082 6338 3076 6339 3082 6339 3086 6339 2989 6340 3085 6340 3082 6340 2988 6341 2989 6341 3082 6341 3077 6342 3078 6342 3082 6342 3076 6343 3077 6343 3082 6343 3076 6344 3086 6344 3085 6344 2990 6345 3087 6345 3085 6345 3075 6346 3085 6346 3087 6346 2989 6347 2990 6347 3085 6347 3075 6348 3076 6348 3085 6348 2981 6349 3088 6349 3087 6349 3074 6350 3087 6350 3088 6350 2982 6351 2981 6351 3087 6351 2990 6352 2982 6352 3087 6352 3074 6353 3075 6353 3087 6353 2983 6354 3089 6354 3088 6354 3072 6355 3088 6355 3089 6355 2981 6356 2983 6356 3088 6356 3074 6357 3088 6357 3072 6357 3090 6358 3091 6358 3089 6358 3081 6359 3089 6359 3091 6359 2984 6360 3090 6360 3089 6360 2983 6361 2984 6361 3089 6361 3073 6362 3072 6362 3089 6362 3081 6363 3073 6363 3089 6363 3081 6364 3091 6364 3090 6364 2985 6365 3084 6365 3090 6365 3080 6366 3090 6366 3084 6366 2984 6367 2985 6367 3090 6367 3080 6368 3081 6368 3090 6368 2973 6369 2975 6369 3084 6369 2985 6370 2973 6370 3084 6370 3079 6371 3080 6371 3084 6371 2807 6372 2796 6372 2799 6372 2806 6373 2807 6373 2799 6373 2805 6374 2806 6374 2799 6374 2609 6375 2793 6375 2796 6375 2609 6376 2796 6376 2807 6376 2609 6377 2789 6377 2793 6377 2609 6378 2786 6378 2789 6378 2609 6379 2784 6379 2786 6379 2609 6380 2782 6380 2784 6380 2614 6381 2780 6381 2782 6381 2614 6382 2782 6382 2609 6382 2614 6383 2778 6383 2780 6383 2609 6384 2812 6384 2816 6384 2609 6385 2809 6385 2812 6385 2609 6386 2808 6386 2809 6386 2609 6387 2807 6387 2808 6387 2610 6388 2614 6388 2609 6388 2610 6389 2613 6389 2614 6389 2611 6390 2612 6390 2613 6390 2610 6391 2611 6391 2613 6391 3015 6392 3017 6392 3092 6392 3018 6393 3092 6393 3017 6393 3012 6394 3015 6394 3092 6394 3010 6395 3012 6395 3092 6395 3011 6396 3010 6396 3092 6396 3018 6397 3011 6397 3092 6397 3022 6398 3023 6398 3093 6398 3024 6399 3093 6399 3023 6399 3021 6400 3022 6400 3093 6400 3019 6401 3021 6401 3093 6401 3020 6402 3019 6402 3093 6402 3024 6403 3020 6403 3093 6403 3030 6404 3032 6404 3094 6404 3033 6405 3094 6405 3032 6405 3027 6406 3030 6406 3094 6406 3025 6407 3027 6407 3094 6407 3026 6408 3025 6408 3094 6408 3033 6409 3026 6409 3094 6409 3037 6410 3038 6410 3095 6410 3039 6411 3095 6411 3038 6411 3036 6412 3037 6412 3095 6412 3034 6413 3036 6413 3095 6413 3035 6414 3034 6414 3095 6414 3039 6415 3035 6415 3095 6415 3047 6416 3043 6416 3041 6416 3046 6417 3047 6417 3041 6417 3044 6418 3046 6418 3041 6418 3044 6419 3045 6419 3046 6419 3055 6420 3049 6420 3048 6420 3054 6421 3055 6421 3048 6421 3050 6422 3054 6422 3048 6422 3050 6423 3053 6423 3054 6423 3063 6424 3057 6424 3056 6424 3062 6425 3063 6425 3056 6425 3058 6426 3062 6426 3056 6426 3058 6427 3059 6427 3062 6427 3071 6428 3067 6428 3066 6428 3070 6429 3071 6429 3066 6429 3068 6430 3070 6430 3066 6430 3068 6431 3069 6431 3070 6431 3096 6432 3097 6432 3098 6432 3099 6433 3098 6433 3097 6433 3096 6434 3098 6434 3100 6434 3101 6435 3100 6435 3098 6435 3099 6436 3101 6436 3098 6436 3096 6437 3102 6437 3097 6437 3103 6438 3097 6438 3102 6438 3103 6439 3099 6439 3097 6439 3104 6440 3105 6440 3102 6440 3106 6441 3102 6441 3105 6441 3107 6442 3104 6442 3102 6442 3096 6443 3107 6443 3102 6443 3106 6444 3103 6444 3102 6444 3104 6445 3108 6445 3105 6445 3109 6446 3105 6446 3108 6446 3106 6447 3105 6447 3109 6447 3104 6448 3100 6448 3108 6448 3110 6449 3108 6449 3100 6449 3110 6450 3109 6450 3108 6450 3111 6451 3100 6451 3104 6451 3111 6452 3096 6452 3100 6452 3101 6453 3110 6453 3100 6453 3112 6454 3113 6454 3114 6454 3115 6455 3114 6455 3113 6455 3116 6456 3114 6456 3117 6456 3118 6457 3117 6457 3114 6457 3112 6458 3114 6458 3116 6458 3115 6459 3118 6459 3114 6459 3119 6460 3120 6460 3113 6460 3121 6461 3113 6461 3120 6461 3122 6462 3119 6462 3113 6462 3112 6463 3122 6463 3113 6463 3121 6464 3115 6464 3113 6464 3119 6465 3123 6465 3120 6465 3124 6466 3120 6466 3123 6466 3124 6467 3121 6467 3120 6467 3125 6468 3126 6468 3123 6468 3127 6469 3123 6469 3126 6469 3119 6470 3125 6470 3123 6470 3124 6471 3123 6471 3127 6471 3128 6472 3117 6472 3126 6472 3129 6473 3126 6473 3117 6473 3125 6474 3128 6474 3126 6474 3129 6475 3127 6475 3126 6475 3130 6476 3116 6476 3117 6476 3128 6477 3130 6477 3117 6477 3118 6478 3129 6478 3117 6478 3131 6479 3132 6479 3133 6479 3134 6480 3133 6480 3132 6480 3135 6481 3133 6481 3136 6481 3137 6482 3136 6482 3133 6482 3135 6483 3138 6483 3133 6483 3131 6484 3133 6484 3138 6484 3134 6485 3137 6485 3133 6485 3112 6486 3139 6486 3132 6486 3140 6487 3132 6487 3139 6487 3112 6488 3132 6488 3131 6488 3140 6489 3134 6489 3132 6489 3112 6490 3116 6490 3139 6490 3141 6491 3139 6491 3116 6491 3141 6492 3140 6492 3139 6492 3130 6493 3142 6493 3116 6493 3143 6494 3116 6494 3142 6494 3141 6495 3116 6495 3143 6495 3144 6496 3136 6496 3142 6496 3145 6497 3142 6497 3136 6497 3130 6498 3144 6498 3142 6498 3145 6499 3143 6499 3142 6499 3144 6500 3135 6500 3136 6500 3137 6501 3145 6501 3136 6501 3111 6502 3146 6502 3147 6502 3148 6503 3147 6503 3146 6503 3119 6504 3147 6504 3125 6504 3149 6505 3125 6505 3147 6505 3119 6506 3111 6506 3147 6506 3149 6507 3147 6507 3148 6507 3111 6508 3150 6508 3146 6508 3151 6509 3146 6509 3150 6509 3152 6510 3148 6510 3146 6510 3151 6511 3152 6511 3146 6511 3111 6512 3153 6512 3150 6512 3151 6513 3150 6513 3153 6513 3104 6514 3154 6514 3153 6514 3155 6515 3153 6515 3154 6515 3111 6516 3104 6516 3153 6516 3155 6517 3151 6517 3153 6517 3131 6518 3156 6518 3154 6518 3157 6519 3154 6519 3156 6519 3104 6520 3131 6520 3154 6520 3157 6521 3155 6521 3154 6521 3131 6522 3138 6522 3156 6522 3158 6523 3156 6523 3138 6523 3158 6524 3157 6524 3156 6524 3159 6525 3138 6525 3135 6525 3159 6526 3158 6526 3138 6526 3160 6527 3135 6527 3144 6527 3161 6528 3159 6528 3135 6528 3160 6529 3161 6529 3135 6529 3160 6530 3144 6530 3130 6530 3162 6531 3130 6531 3128 6531 3162 6532 3160 6532 3130 6532 3163 6533 3128 6533 3125 6533 3163 6534 3162 6534 3128 6534 3149 6535 3163 6535 3125 6535 3164 6536 3131 6536 3104 6536 3165 6537 3112 6537 3131 6537 3165 6538 3131 6538 3164 6538 3166 6539 3104 6539 3107 6539 3164 6540 3104 6540 3166 6540 3167 6541 3107 6541 3096 6541 3166 6542 3107 6542 3167 6542 3168 6543 3096 6543 3111 6543 3167 6544 3096 6544 3168 6544 3169 6545 3111 6545 3119 6545 3168 6546 3111 6546 3169 6546 3170 6547 3119 6547 3122 6547 3169 6548 3119 6548 3170 6548 3171 6549 3172 6549 3122 6549 3173 6550 3122 6550 3172 6550 3112 6551 3171 6551 3122 6551 3173 6552 3170 6552 3122 6552 3174 6553 3172 6553 3171 6553 3173 6554 3172 6554 3174 6554 3175 6555 3171 6555 3112 6555 3174 6556 3171 6556 3175 6556 3175 6557 3112 6557 3165 6557 3176 6558 3177 6558 3178 6558 3179 6559 3178 6559 3177 6559 3180 6560 3176 6560 3178 6560 3181 6561 3180 6561 3178 6561 3182 6562 3178 6562 3179 6562 3181 6563 3178 6563 3182 6563 3183 6564 3184 6564 3177 6564 3185 6565 3177 6565 3184 6565 3176 6566 3183 6566 3177 6566 3185 6567 3179 6567 3177 6567 3186 6568 3187 6568 3184 6568 3188 6569 3184 6569 3187 6569 3183 6570 3186 6570 3184 6570 3185 6571 3184 6571 3188 6571 3189 6572 3187 6572 3186 6572 3188 6573 3187 6573 3190 6573 3191 6574 3190 6574 3187 6574 3189 6575 3191 6575 3187 6575 3192 6576 3186 6576 3183 6576 3193 6577 3189 6577 3186 6577 3192 6578 3193 6578 3186 6578 3194 6579 3183 6579 3176 6579 3195 6580 3192 6580 3183 6580 3194 6581 3195 6581 3183 6581 3194 6582 3176 6582 3180 6582 3196 6583 3180 6583 3181 6583 3197 6584 3180 6584 3196 6584 3194 6585 3180 6585 3197 6585 3198 6586 3182 6586 3179 6586 3190 6587 3198 6587 3179 6587 3185 6588 3190 6588 3179 6588 3181 6589 3182 6589 3198 6589 3191 6590 3198 6590 3190 6590 3181 6591 3198 6591 3191 6591 3185 6592 3188 6592 3190 6592 3199 6593 3200 6593 3201 6593 3099 6594 3201 6594 3200 6594 3199 6595 3201 6595 3202 6595 3103 6596 3202 6596 3201 6596 3103 6597 3201 6597 3099 6597 3203 6598 3204 6598 3200 6598 3101 6599 3200 6599 3204 6599 3199 6600 3203 6600 3200 6600 3099 6601 3200 6601 3101 6601 3205 6602 3206 6602 3204 6602 3110 6603 3204 6603 3206 6603 3205 6604 3204 6604 3203 6604 3101 6605 3204 6605 3110 6605 3207 6606 3208 6606 3206 6606 3109 6607 3206 6607 3208 6607 3205 6608 3207 6608 3206 6608 3110 6609 3206 6609 3109 6609 3207 6610 3202 6610 3208 6610 3106 6611 3208 6611 3202 6611 3106 6612 3109 6612 3208 6612 3209 6613 3199 6613 3202 6613 3207 6614 3209 6614 3202 6614 3106 6615 3202 6615 3103 6615 3210 6616 3211 6616 3212 6616 3115 6617 3212 6617 3211 6617 3212 6618 3213 6618 3214 6618 3121 6619 3213 6619 3212 6619 3215 6620 3210 6620 3212 6620 3121 6621 3212 6621 3115 6621 3216 6622 3217 6622 3211 6622 3118 6623 3211 6623 3217 6623 3210 6624 3216 6624 3211 6624 3115 6625 3211 6625 3118 6625 3218 6626 3219 6626 3217 6626 3129 6627 3217 6627 3219 6627 3218 6628 3217 6628 3216 6628 3118 6629 3217 6629 3129 6629 3220 6630 3221 6630 3219 6630 3127 6631 3219 6631 3221 6631 3203 6632 3219 6632 3218 6632 3203 6633 3220 6633 3219 6633 3129 6634 3219 6634 3127 6634 3222 6635 3213 6635 3221 6635 3124 6636 3221 6636 3213 6636 3220 6637 3222 6637 3221 6637 3124 6638 3127 6638 3221 6638 3214 6639 3215 6639 3212 6639 3214 6640 3223 6640 3215 6640 3222 6641 3214 6641 3213 6641 3124 6642 3213 6642 3121 6642 3218 6643 3216 6643 3224 6643 3134 6644 3224 6644 3216 6644 3225 6645 3224 6645 3226 6645 3140 6646 3226 6646 3224 6646 3225 6647 3218 6647 3224 6647 3140 6648 3224 6648 3134 6648 3137 6649 3216 6649 3210 6649 3134 6650 3216 6650 3137 6650 3145 6651 3210 6651 3215 6651 3137 6652 3210 6652 3145 6652 3143 6653 3215 6653 3223 6653 3145 6654 3215 6654 3143 6654 3227 6655 3226 6655 3223 6655 3141 6656 3223 6656 3226 6656 3214 6657 3227 6657 3223 6657 3141 6658 3143 6658 3223 6658 3227 6659 3225 6659 3226 6659 3141 6660 3226 6660 3140 6660 3228 6661 3218 6661 3225 6661 3205 6662 3203 6662 3218 6662 3229 6663 3205 6663 3218 6663 3229 6664 3218 6664 3228 6664 3228 6665 3225 6665 3227 6665 3214 6666 3230 6666 3227 6666 3231 6667 3227 6667 3230 6667 3231 6668 3228 6668 3227 6668 3232 6669 3230 6669 3214 6669 3231 6670 3230 6670 3232 6670 3233 6671 3214 6671 3222 6671 3232 6672 3214 6672 3233 6672 3234 6673 3222 6673 3220 6673 3233 6674 3222 6674 3234 6674 3234 6675 3220 6675 3203 6675 3235 6676 3203 6676 3199 6676 3234 6677 3203 6677 3235 6677 3236 6678 3199 6678 3209 6678 3235 6679 3199 6679 3236 6679 3237 6680 3209 6680 3207 6680 3236 6681 3209 6681 3237 6681 3238 6682 3207 6682 3205 6682 3237 6683 3207 6683 3238 6683 3238 6684 3205 6684 3229 6684 3236 6685 3169 6685 3170 6685 3235 6686 3236 6686 3170 6686 3173 6687 3235 6687 3170 6687 3237 6688 3168 6688 3169 6688 3236 6689 3237 6689 3169 6689 3238 6690 3167 6690 3168 6690 3237 6691 3238 6691 3168 6691 3229 6692 3166 6692 3167 6692 3238 6693 3229 6693 3167 6693 3228 6694 3164 6694 3166 6694 3229 6695 3228 6695 3166 6695 3231 6696 3164 6696 3228 6696 3231 6697 3165 6697 3164 6697 3234 6698 3235 6698 3173 6698 3196 6699 3181 6699 3191 6699 3189 6700 3196 6700 3191 6700 3193 6701 3196 6701 3189 6701 3239 6702 3197 6702 3196 6702 3193 6703 3239 6703 3196 6703 3232 6704 3175 6704 3165 6704 3231 6705 3232 6705 3165 6705 3233 6706 3174 6706 3175 6706 3232 6707 3233 6707 3175 6707 3234 6708 3173 6708 3174 6708 3233 6709 3234 6709 3174 6709 3148 6710 3197 6710 3239 6710 3151 6711 3194 6711 3197 6711 3152 6712 3197 6712 3148 6712 3151 6713 3197 6713 3152 6713 3163 6714 3239 6714 3193 6714 3149 6715 3148 6715 3239 6715 3149 6716 3239 6716 3163 6716 3160 6717 3193 6717 3192 6717 3162 6718 3193 6718 3160 6718 3163 6719 3193 6719 3162 6719 3159 6720 3192 6720 3195 6720 3161 6721 3192 6721 3159 6721 3160 6722 3192 6722 3161 6722 3157 6723 3195 6723 3194 6723 3158 6724 3195 6724 3157 6724 3159 6725 3195 6725 3158 6725 3155 6726 3194 6726 3151 6726 3157 6727 3194 6727 3155 6727 3240 6728 3241 6728 3242 6728 3243 6729 3242 6729 3241 6729 3240 6730 3242 6730 3244 6730 3245 6731 3244 6731 3242 6731 3243 6732 3245 6732 3242 6732 3240 6733 3246 6733 3241 6733 3247 6734 3241 6734 3246 6734 3247 6735 3243 6735 3241 6735 3248 6736 3249 6736 3246 6736 3250 6737 3246 6737 3249 6737 3251 6738 3248 6738 3246 6738 3240 6739 3251 6739 3246 6739 3250 6740 3247 6740 3246 6740 3248 6741 3252 6741 3249 6741 3253 6742 3249 6742 3252 6742 3250 6743 3249 6743 3253 6743 3248 6744 3244 6744 3252 6744 3254 6745 3252 6745 3244 6745 3254 6746 3253 6746 3252 6746 3255 6747 3244 6747 3248 6747 3255 6748 3240 6748 3244 6748 3245 6749 3254 6749 3244 6749 3256 6750 3257 6750 3258 6750 3259 6751 3258 6751 3257 6751 3260 6752 3258 6752 3261 6752 3262 6753 3261 6753 3258 6753 3256 6754 3258 6754 3260 6754 3259 6755 3262 6755 3258 6755 3263 6756 3264 6756 3257 6756 3265 6757 3257 6757 3264 6757 3266 6758 3263 6758 3257 6758 3256 6759 3266 6759 3257 6759 3265 6760 3259 6760 3257 6760 3263 6761 3267 6761 3264 6761 3268 6762 3264 6762 3267 6762 3268 6763 3265 6763 3264 6763 3269 6764 3270 6764 3267 6764 3271 6765 3267 6765 3270 6765 3263 6766 3269 6766 3267 6766 3268 6767 3267 6767 3271 6767 3272 6768 3261 6768 3270 6768 3273 6769 3270 6769 3261 6769 3269 6770 3272 6770 3270 6770 3273 6771 3271 6771 3270 6771 3274 6772 3260 6772 3261 6772 3272 6773 3274 6773 3261 6773 3262 6774 3273 6774 3261 6774 3275 6775 3276 6775 3277 6775 3278 6776 3277 6776 3276 6776 3279 6777 3277 6777 3280 6777 3281 6778 3280 6778 3277 6778 3279 6779 3282 6779 3277 6779 3275 6780 3277 6780 3282 6780 3278 6781 3281 6781 3277 6781 3256 6782 3283 6782 3276 6782 3284 6783 3276 6783 3283 6783 3256 6784 3276 6784 3275 6784 3284 6785 3278 6785 3276 6785 3256 6786 3260 6786 3283 6786 3285 6787 3283 6787 3260 6787 3285 6788 3284 6788 3283 6788 3274 6789 3286 6789 3260 6789 3287 6790 3260 6790 3286 6790 3285 6791 3260 6791 3287 6791 3288 6792 3280 6792 3286 6792 3289 6793 3286 6793 3280 6793 3274 6794 3288 6794 3286 6794 3289 6795 3287 6795 3286 6795 3288 6796 3279 6796 3280 6796 3281 6797 3289 6797 3280 6797 3255 6798 3290 6798 3291 6798 3292 6799 3291 6799 3290 6799 3263 6800 3291 6800 3269 6800 3293 6801 3269 6801 3291 6801 3263 6802 3255 6802 3291 6802 3293 6803 3291 6803 3292 6803 3255 6804 3294 6804 3290 6804 3295 6805 3290 6805 3294 6805 3296 6806 3292 6806 3290 6806 3295 6807 3296 6807 3290 6807 3255 6808 3297 6808 3294 6808 3295 6809 3294 6809 3297 6809 3248 6810 3298 6810 3297 6810 3299 6811 3297 6811 3298 6811 3255 6812 3248 6812 3297 6812 3299 6813 3295 6813 3297 6813 3275 6814 3300 6814 3298 6814 3301 6815 3298 6815 3300 6815 3248 6816 3275 6816 3298 6816 3301 6817 3299 6817 3298 6817 3275 6818 3282 6818 3300 6818 3302 6819 3300 6819 3282 6819 3302 6820 3301 6820 3300 6820 3303 6821 3282 6821 3279 6821 3303 6822 3302 6822 3282 6822 3304 6823 3279 6823 3288 6823 3305 6824 3303 6824 3279 6824 3304 6825 3305 6825 3279 6825 3304 6826 3288 6826 3274 6826 3306 6827 3274 6827 3272 6827 3306 6828 3304 6828 3274 6828 3307 6829 3272 6829 3269 6829 3307 6830 3306 6830 3272 6830 3293 6831 3307 6831 3269 6831 3308 6832 3275 6832 3248 6832 3309 6833 3256 6833 3275 6833 3309 6834 3275 6834 3308 6834 3310 6835 3248 6835 3251 6835 3308 6836 3248 6836 3310 6836 3311 6837 3251 6837 3240 6837 3310 6838 3251 6838 3311 6838 3312 6839 3240 6839 3255 6839 3311 6840 3240 6840 3312 6840 3313 6841 3255 6841 3263 6841 3312 6842 3255 6842 3313 6842 3314 6843 3263 6843 3266 6843 3313 6844 3263 6844 3314 6844 3315 6845 3316 6845 3266 6845 3317 6846 3266 6846 3316 6846 3256 6847 3315 6847 3266 6847 3317 6848 3314 6848 3266 6848 3318 6849 3316 6849 3315 6849 3317 6850 3316 6850 3318 6850 3319 6851 3315 6851 3256 6851 3318 6852 3315 6852 3319 6852 3319 6853 3256 6853 3309 6853 3320 6854 3321 6854 3322 6854 3323 6855 3322 6855 3321 6855 3324 6856 3320 6856 3322 6856 3325 6857 3324 6857 3322 6857 3326 6858 3322 6858 3323 6858 3325 6859 3322 6859 3326 6859 3327 6860 3328 6860 3321 6860 3329 6861 3321 6861 3328 6861 3320 6862 3327 6862 3321 6862 3329 6863 3323 6863 3321 6863 3330 6864 3331 6864 3328 6864 3332 6865 3328 6865 3331 6865 3327 6866 3330 6866 3328 6866 3329 6867 3328 6867 3332 6867 3333 6868 3331 6868 3330 6868 3332 6869 3331 6869 3334 6869 3335 6870 3334 6870 3331 6870 3333 6871 3335 6871 3331 6871 3336 6872 3330 6872 3327 6872 3337 6873 3333 6873 3330 6873 3336 6874 3337 6874 3330 6874 3338 6875 3327 6875 3320 6875 3339 6876 3336 6876 3327 6876 3338 6877 3339 6877 3327 6877 3338 6878 3320 6878 3324 6878 3340 6879 3324 6879 3325 6879 3341 6880 3324 6880 3340 6880 3338 6881 3324 6881 3341 6881 3342 6882 3326 6882 3323 6882 3334 6883 3342 6883 3323 6883 3329 6884 3334 6884 3323 6884 3325 6885 3326 6885 3342 6885 3335 6886 3342 6886 3334 6886 3325 6887 3342 6887 3335 6887 3329 6888 3332 6888 3334 6888 3343 6889 3344 6889 3345 6889 3243 6890 3345 6890 3344 6890 3343 6891 3345 6891 3346 6891 3247 6892 3346 6892 3345 6892 3247 6893 3345 6893 3243 6893 3347 6894 3348 6894 3344 6894 3245 6895 3344 6895 3348 6895 3343 6896 3347 6896 3344 6896 3243 6897 3344 6897 3245 6897 3349 6898 3350 6898 3348 6898 3254 6899 3348 6899 3350 6899 3349 6900 3348 6900 3347 6900 3245 6901 3348 6901 3254 6901 3351 6902 3352 6902 3350 6902 3253 6903 3350 6903 3352 6903 3349 6904 3351 6904 3350 6904 3254 6905 3350 6905 3253 6905 3351 6906 3346 6906 3352 6906 3250 6907 3352 6907 3346 6907 3250 6908 3253 6908 3352 6908 3353 6909 3343 6909 3346 6909 3351 6910 3353 6910 3346 6910 3250 6911 3346 6911 3247 6911 3354 6912 3355 6912 3356 6912 3259 6913 3356 6913 3355 6913 3356 6914 3357 6914 3358 6914 3265 6915 3357 6915 3356 6915 3359 6916 3354 6916 3356 6916 3265 6917 3356 6917 3259 6917 3360 6918 3361 6918 3355 6918 3262 6919 3355 6919 3361 6919 3354 6920 3360 6920 3355 6920 3259 6921 3355 6921 3262 6921 3362 6922 3363 6922 3361 6922 3273 6923 3361 6923 3363 6923 3362 6924 3361 6924 3360 6924 3262 6925 3361 6925 3273 6925 3364 6926 3365 6926 3363 6926 3271 6927 3363 6927 3365 6927 3347 6928 3363 6928 3362 6928 3347 6929 3364 6929 3363 6929 3273 6930 3363 6930 3271 6930 3366 6931 3357 6931 3365 6931 3268 6932 3365 6932 3357 6932 3364 6933 3366 6933 3365 6933 3268 6934 3271 6934 3365 6934 3358 6935 3359 6935 3356 6935 3358 6936 3367 6936 3359 6936 3366 6937 3358 6937 3357 6937 3268 6938 3357 6938 3265 6938 3362 6939 3360 6939 3368 6939 3278 6940 3368 6940 3360 6940 3369 6941 3368 6941 3370 6941 3284 6942 3370 6942 3368 6942 3369 6943 3362 6943 3368 6943 3284 6944 3368 6944 3278 6944 3281 6945 3360 6945 3354 6945 3278 6946 3360 6946 3281 6946 3289 6947 3354 6947 3359 6947 3281 6948 3354 6948 3289 6948 3287 6949 3359 6949 3367 6949 3289 6950 3359 6950 3287 6950 3371 6951 3370 6951 3367 6951 3285 6952 3367 6952 3370 6952 3358 6953 3371 6953 3367 6953 3285 6954 3287 6954 3367 6954 3371 6955 3369 6955 3370 6955 3285 6956 3370 6956 3284 6956 3372 6957 3362 6957 3369 6957 3349 6958 3347 6958 3362 6958 3373 6959 3349 6959 3362 6959 3373 6960 3362 6960 3372 6960 3372 6961 3369 6961 3371 6961 3358 6962 3374 6962 3371 6962 3375 6963 3371 6963 3374 6963 3375 6964 3372 6964 3371 6964 3376 6965 3374 6965 3358 6965 3375 6966 3374 6966 3376 6966 3377 6967 3358 6967 3366 6967 3376 6968 3358 6968 3377 6968 3378 6969 3366 6969 3364 6969 3377 6970 3366 6970 3378 6970 3378 6971 3364 6971 3347 6971 3379 6972 3347 6972 3343 6972 3378 6973 3347 6973 3379 6973 3380 6974 3343 6974 3353 6974 3379 6975 3343 6975 3380 6975 3381 6976 3353 6976 3351 6976 3380 6977 3353 6977 3381 6977 3382 6978 3351 6978 3349 6978 3381 6979 3351 6979 3382 6979 3382 6980 3349 6980 3373 6980 3380 6981 3313 6981 3314 6981 3379 6982 3380 6982 3314 6982 3317 6983 3379 6983 3314 6983 3381 6984 3312 6984 3313 6984 3380 6985 3381 6985 3313 6985 3382 6986 3311 6986 3312 6986 3381 6987 3382 6987 3312 6987 3373 6988 3310 6988 3311 6988 3382 6989 3373 6989 3311 6989 3372 6990 3308 6990 3310 6990 3373 6991 3372 6991 3310 6991 3375 6992 3308 6992 3372 6992 3375 6993 3309 6993 3308 6993 3378 6994 3379 6994 3317 6994 3340 6995 3325 6995 3335 6995 3333 6996 3340 6996 3335 6996 3337 6997 3340 6997 3333 6997 3383 6998 3341 6998 3340 6998 3337 6999 3383 6999 3340 6999 3376 7000 3319 7000 3309 7000 3375 7001 3376 7001 3309 7001 3377 7002 3318 7002 3319 7002 3376 7003 3377 7003 3319 7003 3378 7004 3317 7004 3318 7004 3377 7005 3378 7005 3318 7005 3292 7006 3341 7006 3383 7006 3295 7007 3338 7007 3341 7007 3296 7008 3341 7008 3292 7008 3295 7009 3341 7009 3296 7009 3307 7010 3383 7010 3337 7010 3293 7011 3292 7011 3383 7011 3293 7012 3383 7012 3307 7012 3304 7013 3337 7013 3336 7013 3306 7014 3337 7014 3304 7014 3307 7015 3337 7015 3306 7015 3303 7016 3336 7016 3339 7016 3305 7017 3336 7017 3303 7017 3304 7018 3336 7018 3305 7018 3301 7019 3339 7019 3338 7019 3302 7020 3339 7020 3301 7020 3303 7021 3339 7021 3302 7021 3299 7022 3338 7022 3295 7022 3301 7023 3338 7023 3299 7023 3384 7024 3385 7024 3386 7024 3387 7025 3386 7025 3385 7025 3388 7026 3386 7026 3389 7026 3390 7027 3389 7027 3386 7027 3384 7028 3386 7028 3388 7028 3390 7029 3386 7029 3387 7029 3384 7030 3391 7030 3385 7030 3392 7031 3385 7031 3391 7031 3392 7032 3387 7032 3385 7032 3393 7033 3394 7033 3391 7033 3395 7034 3391 7034 3394 7034 3396 7035 3393 7035 3391 7035 3384 7036 3396 7036 3391 7036 3392 7037 3391 7037 3395 7037 3397 7038 3398 7038 3394 7038 3399 7039 3394 7039 3398 7039 3393 7040 3397 7040 3394 7040 3395 7041 3394 7041 3399 7041 3397 7042 3389 7042 3398 7042 3400 7043 3398 7043 3389 7043 3399 7044 3398 7044 3400 7044 3401 7045 3388 7045 3389 7045 3397 7046 3401 7046 3389 7046 3400 7047 3389 7047 3390 7047 3402 7048 3388 7048 3401 7048 3403 7049 3384 7049 3388 7049 3403 7050 3388 7050 3402 7050 3397 7051 2975 7051 3401 7051 3404 7052 3401 7052 2975 7052 3404 7053 3402 7053 3401 7053 3405 7054 2975 7054 3397 7054 3404 7055 2975 7055 3405 7055 3406 7056 3397 7056 3393 7056 3405 7057 3397 7057 3406 7057 3407 7058 3393 7058 3396 7058 3406 7059 3393 7059 3407 7059 3384 7060 2981 7060 3396 7060 3408 7061 3396 7061 2981 7061 3407 7062 3396 7062 3408 7062 3409 7063 2981 7063 3384 7063 3408 7064 2981 7064 3409 7064 3409 7065 3384 7065 3403 7065 3404 7066 3390 7066 3387 7066 3402 7067 3387 7067 3392 7067 3404 7068 3387 7068 3402 7068 3404 7069 3400 7069 3390 7069 3407 7070 3399 7070 3400 7070 3406 7071 3407 7071 3400 7071 3404 7072 3406 7072 3400 7072 3408 7073 3395 7073 3399 7073 3407 7074 3408 7074 3399 7074 3408 7075 3392 7075 3395 7075 3403 7076 3402 7076 3392 7076 3408 7077 3403 7077 3392 7077 3408 7078 3409 7078 3403 7078 3404 7079 3405 7079 3406 7079 3410 7080 3411 7080 3412 7080 3413 7081 3412 7081 3411 7081 3414 7082 3410 7082 3412 7082 3415 7083 3412 7083 3413 7083 3414 7084 3412 7084 3416 7084 3415 7085 3416 7085 3412 7085 3410 7086 3417 7086 3411 7086 3418 7087 3411 7087 3417 7087 3413 7088 3411 7088 3419 7088 3420 7089 3419 7089 3411 7089 3420 7090 3411 7090 3418 7090 3421 7091 3417 7091 3410 7091 3418 7092 3417 7092 3422 7092 3423 7093 3422 7093 3417 7093 3423 7094 3417 7094 3421 7094 3421 7095 3410 7095 3424 7095 3425 7096 3424 7096 3410 7096 3425 7097 3410 7097 3414 7097 3426 7098 3427 7098 3428 7098 3429 7099 3428 7099 3427 7099 3426 7100 3428 7100 3430 7100 3431 7101 3430 7101 3428 7101 3431 7102 3428 7102 3429 7102 3426 7103 3432 7103 3427 7103 3433 7104 3427 7104 3432 7104 3433 7105 3429 7105 3427 7105 3434 7106 3435 7106 3432 7106 3436 7107 3432 7107 3435 7107 3426 7108 3434 7108 3432 7108 3433 7109 3432 7109 3436 7109 3437 7110 3438 7110 3435 7110 3439 7111 3435 7111 3438 7111 3437 7112 3435 7112 3434 7112 3436 7113 3435 7113 3439 7113 3437 7114 3440 7114 3438 7114 3441 7115 3438 7115 3440 7115 3439 7116 3438 7116 3441 7116 3437 7117 3442 7117 3440 7117 3443 7118 3440 7118 3442 7118 3441 7119 3440 7119 3443 7119 3444 7120 3445 7120 3442 7120 3446 7121 3442 7121 3445 7121 3447 7122 3444 7122 3442 7122 3447 7123 3442 7123 3437 7123 3443 7124 3442 7124 3446 7124 3444 7125 3448 7125 3445 7125 3449 7126 3445 7126 3448 7126 3446 7127 3445 7127 3449 7127 3444 7128 3450 7128 3448 7128 3451 7129 3448 7129 3450 7129 3449 7130 3448 7130 3451 7130 3444 7131 3452 7131 3450 7131 3453 7132 3450 7132 3452 7132 3451 7133 3450 7133 3453 7133 3444 7134 3454 7134 3452 7134 3455 7135 3452 7135 3454 7135 3453 7136 3452 7136 3455 7136 3444 7137 3456 7137 3454 7137 3457 7138 3454 7138 3456 7138 3455 7139 3454 7139 3457 7139 3444 7140 3430 7140 3456 7140 3458 7141 3456 7141 3430 7141 3457 7142 3456 7142 3458 7142 3444 7143 3426 7143 3430 7143 3458 7144 3430 7144 3431 7144 3459 7145 3460 7145 3461 7145 3462 7146 3461 7146 3460 7146 3463 7147 3461 7147 3464 7147 3465 7148 3464 7148 3461 7148 3463 7149 3466 7149 3461 7149 3459 7150 3461 7150 3466 7150 3465 7151 3461 7151 3462 7151 3467 7152 3468 7152 3460 7152 3469 7153 3460 7153 3468 7153 3470 7154 3460 7154 3459 7154 3470 7155 3467 7155 3460 7155 3469 7156 3462 7156 3460 7156 3467 7157 3471 7157 3468 7157 3472 7158 3468 7158 3471 7158 3473 7159 3469 7159 3468 7159 3472 7160 3473 7160 3468 7160 3474 7161 3475 7161 3471 7161 3476 7162 3471 7162 3475 7162 3474 7163 3471 7163 3467 7163 3476 7164 3472 7164 3471 7164 3463 7165 3464 7165 3475 7165 3477 7166 3475 7166 3464 7166 3474 7167 3463 7167 3475 7167 3478 7168 3476 7168 3475 7168 3478 7169 3475 7169 3477 7169 3479 7170 3464 7170 3465 7170 3480 7171 3464 7171 3479 7171 3480 7172 3477 7172 3464 7172 3481 7173 3482 7173 3483 7173 3484 7174 3483 7174 3482 7174 3485 7175 3483 7175 3486 7175 3487 7176 3486 7176 3483 7176 3481 7177 3483 7177 3485 7177 3487 7178 3483 7178 3484 7178 3488 7179 3489 7179 3482 7179 3490 7180 3482 7180 3489 7180 3481 7181 3488 7181 3482 7181 3491 7182 3482 7182 3490 7182 3491 7183 3484 7183 3482 7183 3488 7184 3492 7184 3489 7184 3493 7185 3489 7185 3492 7185 3494 7186 3489 7186 3493 7186 3495 7187 3489 7187 3494 7187 3495 7188 3490 7188 3489 7188 3496 7189 3497 7189 3492 7189 3498 7190 3492 7190 3497 7190 3499 7191 3496 7191 3492 7191 3488 7192 3499 7192 3492 7192 3493 7193 3492 7193 3498 7193 3500 7194 3486 7194 3497 7194 3501 7195 3497 7195 3486 7195 3500 7196 3497 7196 3496 7196 3498 7197 3497 7197 3501 7197 3500 7198 3485 7198 3486 7198 3502 7199 3501 7199 3486 7199 3487 7200 3502 7200 3486 7200 3459 7201 3466 7201 3503 7201 3504 7202 3503 7202 3466 7202 3505 7203 3503 7203 3496 7203 3506 7204 3496 7204 3503 7204 3505 7205 3459 7205 3503 7205 3507 7206 3503 7206 3504 7206 3507 7207 3506 7207 3503 7207 3508 7208 3466 7208 3463 7208 3509 7209 3504 7209 3466 7209 3510 7210 3509 7210 3466 7210 3508 7211 3510 7211 3466 7211 3474 7212 3511 7212 3463 7212 3512 7213 3463 7213 3511 7213 3513 7214 3508 7214 3463 7214 3512 7215 3513 7215 3463 7215 3500 7216 3514 7216 3511 7216 3515 7217 3511 7217 3514 7217 3437 7218 3500 7218 3511 7218 3437 7219 3511 7219 3474 7219 3512 7220 3511 7220 3515 7220 3500 7221 3496 7221 3514 7221 3516 7222 3514 7222 3496 7222 3517 7223 3515 7223 3514 7223 3516 7224 3517 7224 3514 7224 3499 7225 3505 7225 3496 7225 3518 7226 3496 7226 3506 7226 3518 7227 3516 7227 3496 7227 3470 7228 3519 7228 3520 7228 3521 7229 3520 7229 3519 7229 3481 7230 3520 7230 3488 7230 3522 7231 3488 7231 3520 7231 3523 7232 3520 7232 3481 7232 3523 7233 3470 7233 3520 7233 3522 7234 3520 7234 3521 7234 3470 7235 3459 7235 3519 7235 3524 7236 3519 7236 3459 7236 3525 7237 3521 7237 3519 7237 3524 7238 3525 7238 3519 7238 3526 7239 3459 7239 3505 7239 3527 7240 3524 7240 3459 7240 3526 7241 3527 7241 3459 7241 3528 7242 3505 7242 3499 7242 3529 7243 3505 7243 3528 7243 3529 7244 3526 7244 3505 7244 3530 7245 3499 7245 3488 7245 3531 7246 3528 7246 3499 7246 3530 7247 3532 7247 3499 7247 3531 7248 3499 7248 3532 7248 3533 7249 3530 7249 3488 7249 3522 7250 3533 7250 3488 7250 3534 7251 3535 7251 3434 7251 3536 7252 3434 7252 3535 7252 3437 7253 3434 7253 3537 7253 3538 7254 3537 7254 3434 7254 3534 7255 3434 7255 3426 7255 3538 7256 3434 7256 3536 7256 3539 7257 3540 7257 3535 7257 3541 7258 3535 7258 3540 7258 3534 7259 3539 7259 3535 7259 3536 7260 3535 7260 3541 7260 3481 7261 3485 7261 3540 7261 3542 7262 3540 7262 3485 7262 3539 7263 3481 7263 3540 7263 3541 7264 3540 7264 3542 7264 3543 7265 3485 7265 3500 7265 3542 7266 3485 7266 3543 7266 3437 7267 3537 7267 3500 7267 3544 7268 3500 7268 3537 7268 3544 7269 3543 7269 3500 7269 3544 7270 3537 7270 3538 7270 3545 7271 3426 7271 3444 7271 3546 7272 3534 7272 3426 7272 3546 7273 3426 7273 3545 7273 3523 7274 3547 7274 3444 7274 3548 7275 3444 7275 3547 7275 3447 7276 3523 7276 3444 7276 3545 7277 3444 7277 3548 7277 3523 7278 3481 7278 3547 7278 3549 7279 3547 7279 3481 7279 3548 7280 3547 7280 3549 7280 3550 7281 3481 7281 3539 7281 3549 7282 3481 7282 3550 7282 3551 7283 3539 7283 3534 7283 3551 7284 3550 7284 3539 7284 3551 7285 3534 7285 3546 7285 3552 7286 3467 7286 3470 7286 3474 7287 3467 7287 3553 7287 3554 7288 3553 7288 3467 7288 3554 7289 3467 7289 3552 7289 3523 7290 3555 7290 3470 7290 3556 7291 3470 7291 3555 7291 3552 7292 3470 7292 3556 7292 3523 7293 3557 7293 3555 7293 3558 7294 3555 7294 3557 7294 3556 7295 3555 7295 3558 7295 3559 7296 3560 7296 3557 7296 3561 7297 3557 7297 3560 7297 3562 7298 3559 7298 3557 7298 3523 7299 3562 7299 3557 7299 3558 7300 3557 7300 3561 7300 3563 7301 3553 7301 3560 7301 3564 7302 3560 7302 3553 7302 3559 7303 3563 7303 3560 7303 3564 7304 3561 7304 3560 7304 3563 7305 3474 7305 3553 7305 3564 7306 3553 7306 3554 7306 3565 7307 3474 7307 3563 7307 3437 7308 3474 7308 3566 7308 3567 7309 3566 7309 3474 7309 3567 7310 3474 7310 3565 7310 3568 7311 3563 7311 3559 7311 3565 7312 3563 7312 3568 7312 3569 7313 3559 7313 3562 7313 3568 7314 3559 7314 3569 7314 3523 7315 3570 7315 3562 7315 3571 7316 3562 7316 3570 7316 3569 7317 3562 7317 3571 7317 3437 7318 3566 7318 3570 7318 3572 7319 3570 7319 3566 7319 3573 7320 3437 7320 3570 7320 3523 7321 3573 7321 3570 7321 3572 7322 3571 7322 3570 7322 3572 7323 3566 7323 3567 7323 3574 7324 3575 7324 3576 7324 3577 7325 3576 7325 3575 7325 3578 7326 3574 7326 3576 7326 3579 7327 3578 7327 3576 7327 3577 7328 3579 7328 3576 7328 3580 7329 3575 7329 3574 7329 3580 7330 3577 7330 3575 7330 3581 7331 3574 7331 3578 7331 3580 7332 3574 7332 3581 7332 3579 7333 3582 7333 3578 7333 3583 7334 3578 7334 3582 7334 3584 7335 3578 7335 3583 7335 3581 7336 3578 7336 3584 7336 3585 7337 3586 7337 3582 7337 3587 7338 3582 7338 3586 7338 3579 7339 3585 7339 3582 7339 3583 7340 3582 7340 3587 7340 3588 7341 3589 7341 3586 7341 3587 7342 3586 7342 3589 7342 3585 7343 3588 7343 3586 7343 3590 7344 3589 7344 3588 7344 3587 7345 3589 7345 3590 7345 3591 7346 3588 7346 3585 7346 3590 7347 3588 7347 3591 7347 3592 7348 3585 7348 3579 7348 3593 7349 3585 7349 3592 7349 3591 7350 3585 7350 3593 7350 3592 7351 3579 7351 3577 7351 3594 7352 3437 7352 3573 7352 3595 7353 3447 7353 3437 7353 3596 7354 3437 7354 3594 7354 3595 7355 3437 7355 3597 7355 3596 7356 3597 7356 3437 7356 3598 7357 3573 7357 3523 7357 3599 7358 3573 7358 3598 7358 3594 7359 3573 7359 3600 7359 3599 7360 3600 7360 3573 7360 3601 7361 3523 7361 3447 7361 3598 7362 3523 7362 3602 7362 3603 7363 3602 7363 3523 7363 3603 7364 3523 7364 3601 7364 3604 7365 3447 7365 3595 7365 3601 7366 3447 7366 3605 7366 3604 7367 3605 7367 3447 7367 3598 7368 3606 7368 3607 7368 3608 7369 3607 7369 3606 7369 3419 7370 3607 7370 3609 7370 3610 7371 3609 7371 3607 7371 3419 7372 3598 7372 3607 7372 3610 7373 3607 7373 3608 7373 3602 7374 3611 7374 3606 7374 3612 7375 3606 7375 3611 7375 3598 7376 3602 7376 3606 7376 3612 7377 3608 7377 3606 7377 3613 7378 3614 7378 3611 7378 3615 7379 3611 7379 3614 7379 3602 7380 3613 7380 3611 7380 3612 7381 3611 7381 3615 7381 3616 7382 3617 7382 3614 7382 3618 7383 3614 7383 3617 7383 3613 7384 3616 7384 3614 7384 3615 7385 3614 7385 3618 7385 3419 7386 3609 7386 3617 7386 3619 7387 3617 7387 3609 7387 3419 7388 3617 7388 3616 7388 3618 7389 3617 7389 3619 7389 3619 7390 3609 7390 3610 7390 3620 7391 3616 7391 3613 7391 3419 7392 3616 7392 3621 7392 3622 7393 3621 7393 3616 7393 3622 7394 3616 7394 3620 7394 3602 7395 3623 7395 3613 7395 3624 7396 3613 7396 3623 7396 3624 7397 3620 7397 3613 7397 3625 7398 3626 7398 3623 7398 3627 7399 3623 7399 3626 7399 3602 7400 3625 7400 3623 7400 3624 7401 3623 7401 3627 7401 3628 7402 3629 7402 3626 7402 3630 7403 3626 7403 3629 7403 3625 7404 3628 7404 3626 7404 3627 7405 3626 7405 3630 7405 3419 7406 3621 7406 3629 7406 3631 7407 3629 7407 3621 7407 3419 7408 3629 7408 3628 7408 3630 7409 3629 7409 3631 7409 3631 7410 3621 7410 3622 7410 3602 7411 3632 7411 3633 7411 3634 7412 3633 7412 3632 7412 3602 7413 3633 7413 3635 7413 3636 7414 3635 7414 3633 7414 3636 7415 3633 7415 3634 7415 3419 7416 3637 7416 3632 7416 3638 7417 3632 7417 3637 7417 3413 7418 3632 7418 3602 7418 3413 7419 3419 7419 3632 7419 3634 7420 3632 7420 3638 7420 3419 7421 3628 7421 3637 7421 3639 7422 3637 7422 3628 7422 3638 7423 3637 7423 3639 7423 3640 7424 3628 7424 3625 7424 3639 7425 3628 7425 3640 7425 3602 7426 3635 7426 3625 7426 3641 7427 3625 7427 3635 7427 3641 7428 3640 7428 3625 7428 3641 7429 3635 7429 3636 7429 3603 7430 3413 7430 3602 7430 3420 7431 3598 7431 3419 7431 3420 7432 3599 7432 3598 7432 3415 7433 3413 7433 3603 7433 3642 7434 3643 7434 3644 7434 3645 7435 3644 7435 3643 7435 3646 7436 3644 7436 3647 7436 3648 7437 3647 7437 3644 7437 3646 7438 3642 7438 3644 7438 3649 7439 3644 7439 3645 7439 3650 7440 3648 7440 3644 7440 3649 7441 3650 7441 3644 7441 3422 7442 3651 7442 3643 7442 3652 7443 3643 7443 3651 7443 3642 7444 3653 7444 3643 7444 3422 7445 3643 7445 3653 7445 3654 7446 3643 7446 3652 7446 3655 7447 3643 7447 3654 7447 3655 7448 3645 7448 3643 7448 3422 7449 3656 7449 3651 7449 3657 7450 3651 7450 3656 7450 3652 7451 3651 7451 3657 7451 3422 7452 3658 7452 3656 7452 3659 7453 3656 7453 3658 7453 3660 7454 3657 7454 3656 7454 3661 7455 3660 7455 3656 7455 3659 7456 3661 7456 3656 7456 3600 7457 3647 7457 3658 7457 3662 7458 3658 7458 3647 7458 3594 7459 3600 7459 3658 7459 3422 7460 3594 7460 3658 7460 3663 7461 3659 7461 3658 7461 3664 7462 3658 7462 3662 7462 3663 7463 3658 7463 3664 7463 3600 7464 3646 7464 3647 7464 3662 7465 3647 7465 3648 7465 3665 7466 3666 7466 3667 7466 3668 7467 3667 7467 3666 7467 3669 7468 3667 7468 3670 7468 3671 7469 3670 7469 3667 7469 3669 7470 3665 7470 3667 7470 3671 7471 3667 7471 3668 7471 3422 7472 3653 7472 3666 7472 3672 7473 3666 7473 3653 7473 3673 7474 3666 7474 3665 7474 3422 7475 3666 7475 3673 7475 3668 7476 3666 7476 3672 7476 3674 7477 3653 7477 3642 7477 3672 7478 3653 7478 3674 7478 3675 7479 3642 7479 3646 7479 3674 7480 3642 7480 3675 7480 3600 7481 3670 7481 3646 7481 3516 7482 3646 7482 3670 7482 3518 7483 3646 7483 3516 7483 3676 7484 3646 7484 3518 7484 3676 7485 3675 7485 3646 7485 3600 7486 3669 7486 3670 7486 3512 7487 3515 7487 3670 7487 3517 7488 3670 7488 3515 7488 3513 7489 3670 7489 3508 7489 3671 7490 3508 7490 3670 7490 3512 7491 3670 7491 3513 7491 3516 7492 3670 7492 3517 7492 3677 7493 3665 7493 3669 7493 3678 7494 3673 7494 3665 7494 3679 7495 3680 7495 3665 7495 3678 7496 3665 7496 3680 7496 3679 7497 3665 7497 3677 7497 3600 7498 3681 7498 3669 7498 3682 7499 3669 7499 3681 7499 3683 7500 3669 7500 3684 7500 3682 7501 3684 7501 3669 7501 3677 7502 3669 7502 3683 7502 3600 7503 3685 7503 3681 7503 3686 7504 3681 7504 3685 7504 3682 7505 3681 7505 3686 7505 3600 7506 3687 7506 3685 7506 3688 7507 3685 7507 3687 7507 3689 7508 3685 7508 3688 7508 3690 7509 3685 7509 3689 7509 3686 7510 3685 7510 3690 7510 3422 7511 3673 7511 3687 7511 3691 7512 3687 7512 3673 7512 3418 7513 3687 7513 3600 7513 3418 7514 3422 7514 3687 7514 3692 7515 3687 7515 3693 7515 3691 7516 3693 7516 3687 7516 3688 7517 3687 7517 3692 7517 3691 7518 3673 7518 3678 7518 3599 7519 3418 7519 3600 7519 3423 7520 3594 7520 3422 7520 3423 7521 3596 7521 3594 7521 3420 7522 3418 7522 3599 7522 3421 7523 3694 7523 3695 7523 3696 7524 3695 7524 3694 7524 3597 7525 3695 7525 3697 7525 3698 7526 3697 7526 3695 7526 3421 7527 3695 7527 3597 7527 3698 7528 3695 7528 3696 7528 3424 7529 3699 7529 3694 7529 3700 7530 3694 7530 3699 7530 3421 7531 3424 7531 3694 7531 3696 7532 3694 7532 3700 7532 3701 7533 3702 7533 3699 7533 3703 7534 3699 7534 3702 7534 3424 7535 3701 7535 3699 7535 3700 7536 3699 7536 3703 7536 3704 7537 3705 7537 3702 7537 3706 7538 3702 7538 3705 7538 3701 7539 3704 7539 3702 7539 3703 7540 3702 7540 3706 7540 3597 7541 3697 7541 3705 7541 3707 7542 3705 7542 3697 7542 3597 7543 3705 7543 3704 7543 3707 7544 3706 7544 3705 7544 3707 7545 3697 7545 3698 7545 3708 7546 3704 7546 3701 7546 3597 7547 3704 7547 3709 7547 3710 7548 3709 7548 3704 7548 3710 7549 3704 7549 3708 7549 3424 7550 3711 7550 3701 7550 3712 7551 3701 7551 3711 7551 3708 7552 3701 7552 3712 7552 3713 7553 3714 7553 3711 7553 3715 7554 3711 7554 3714 7554 3424 7555 3713 7555 3711 7555 3712 7556 3711 7556 3715 7556 3716 7557 3717 7557 3714 7557 3718 7558 3714 7558 3717 7558 3713 7559 3716 7559 3714 7559 3715 7560 3714 7560 3718 7560 3597 7561 3709 7561 3717 7561 3719 7562 3717 7562 3709 7562 3597 7563 3717 7563 3716 7563 3719 7564 3718 7564 3717 7564 3719 7565 3709 7565 3710 7565 3424 7566 3720 7566 3721 7566 3722 7567 3721 7567 3720 7567 3424 7568 3721 7568 3723 7568 3724 7569 3723 7569 3721 7569 3724 7570 3721 7570 3722 7570 3597 7571 3725 7571 3720 7571 3726 7572 3720 7572 3725 7572 3595 7573 3597 7573 3720 7573 3424 7574 3595 7574 3720 7574 3726 7575 3722 7575 3720 7575 3597 7576 3716 7576 3725 7576 3727 7577 3725 7577 3716 7577 3726 7578 3725 7578 3727 7578 3728 7579 3716 7579 3713 7579 3727 7580 3716 7580 3728 7580 3424 7581 3723 7581 3713 7581 3729 7582 3713 7582 3723 7582 3728 7583 3713 7583 3729 7583 3729 7584 3723 7584 3724 7584 3596 7585 3421 7585 3597 7585 3425 7586 3595 7586 3424 7586 3425 7587 3604 7587 3595 7587 3423 7588 3421 7588 3596 7588 3730 7589 3731 7589 3732 7589 3733 7590 3732 7590 3731 7590 3416 7591 3732 7591 3734 7591 3735 7592 3734 7592 3732 7592 3736 7593 3732 7593 3416 7593 3736 7594 3730 7594 3732 7594 3735 7595 3732 7595 3733 7595 3605 7596 3737 7596 3731 7596 3524 7597 3731 7597 3737 7597 3601 7598 3605 7598 3731 7598 3738 7599 3601 7599 3731 7599 3739 7600 3738 7600 3731 7600 3730 7601 3739 7601 3731 7601 3527 7602 3731 7602 3524 7602 3740 7603 3731 7603 3527 7603 3740 7604 3733 7604 3731 7604 3605 7605 3741 7605 3737 7605 3742 7606 3737 7606 3741 7606 3525 7607 3737 7607 3521 7607 3522 7608 3521 7608 3737 7608 3524 7609 3737 7609 3525 7609 3533 7610 3737 7610 3530 7610 3742 7611 3530 7611 3737 7611 3522 7612 3737 7612 3533 7612 3743 7613 3744 7613 3741 7613 3745 7614 3741 7614 3744 7614 3746 7615 3743 7615 3741 7615 3605 7616 3746 7616 3741 7616 3742 7617 3741 7617 3745 7617 3416 7618 3734 7618 3744 7618 3747 7619 3744 7619 3734 7619 3748 7620 3749 7620 3744 7620 3414 7621 3744 7621 3749 7621 3743 7622 3748 7622 3744 7622 3414 7623 3416 7623 3744 7623 3745 7624 3744 7624 3747 7624 3747 7625 3734 7625 3735 7625 3605 7626 3749 7626 3750 7626 3751 7627 3750 7627 3749 7627 3605 7628 3750 7628 3752 7628 3753 7629 3752 7629 3750 7629 3753 7630 3750 7630 3751 7630 3754 7631 3749 7631 3748 7631 3414 7632 3749 7632 3605 7632 3751 7633 3749 7633 3754 7633 3755 7634 3748 7634 3743 7634 3754 7635 3748 7635 3755 7635 3756 7636 3743 7636 3746 7636 3755 7637 3743 7637 3756 7637 3605 7638 3752 7638 3746 7638 3757 7639 3746 7639 3752 7639 3757 7640 3756 7640 3746 7640 3757 7641 3752 7641 3753 7641 3604 7642 3414 7642 3605 7642 3738 7643 3416 7643 3601 7643 3415 7644 3601 7644 3416 7644 3415 7645 3603 7645 3601 7645 3738 7646 3758 7646 3416 7646 3759 7647 3416 7647 3758 7647 3759 7648 3736 7648 3416 7648 3425 7649 3414 7649 3604 7649 3760 7650 3758 7650 3738 7650 3761 7651 3759 7651 3758 7651 3761 7652 3758 7652 3760 7652 3762 7653 3738 7653 3739 7653 3762 7654 3760 7654 3738 7654 3763 7655 3739 7655 3730 7655 3762 7656 3739 7656 3763 7656 3764 7657 3730 7657 3736 7657 3763 7658 3730 7658 3764 7658 3765 7659 3736 7659 3759 7659 3764 7660 3736 7660 3765 7660 3765 7661 3759 7661 3761 7661 3591 7662 3431 7662 3429 7662 3590 7663 3429 7663 3433 7663 3590 7664 3591 7664 3429 7664 3593 7665 3458 7665 3431 7665 3591 7666 3593 7666 3431 7666 3577 7667 3457 7667 3458 7667 3592 7668 3577 7668 3458 7668 3593 7669 3592 7669 3458 7669 3451 7670 3455 7670 3457 7670 3577 7671 3451 7671 3457 7671 3451 7672 3453 7672 3455 7672 3446 7673 3449 7673 3451 7673 3580 7674 3446 7674 3451 7674 3580 7675 3451 7675 3577 7675 3581 7676 3443 7676 3446 7676 3580 7677 3581 7677 3446 7677 3581 7678 3441 7678 3443 7678 3581 7679 3439 7679 3441 7679 3581 7680 3436 7680 3439 7680 3587 7681 3433 7681 3436 7681 3583 7682 3587 7682 3436 7682 3584 7683 3583 7683 3436 7683 3581 7684 3584 7684 3436 7684 3587 7685 3590 7685 3433 7685 3469 7686 3465 7686 3462 7686 3766 7687 3479 7687 3465 7687 3469 7688 3766 7688 3465 7688 3766 7689 3767 7689 3479 7689 3768 7690 3479 7690 3767 7690 3768 7691 3480 7691 3479 7691 3769 7692 3767 7692 3766 7692 3768 7693 3767 7693 3769 7693 3770 7694 3766 7694 3469 7694 3771 7695 3766 7695 3770 7695 3771 7696 3769 7696 3766 7696 3473 7697 3770 7697 3469 7697 3494 7698 3772 7698 3773 7698 3774 7699 3773 7699 3772 7699 3775 7700 3494 7700 3773 7700 3774 7701 3775 7701 3773 7701 3493 7702 3501 7702 3772 7702 3776 7703 3772 7703 3501 7703 3494 7704 3493 7704 3772 7704 3777 7705 3774 7705 3772 7705 3777 7706 3772 7706 3776 7706 3493 7707 3498 7707 3501 7707 3502 7708 3776 7708 3501 7708 3775 7709 3495 7709 3494 7709 3778 7710 3770 7710 3473 7710 3779 7711 3771 7711 3770 7711 3779 7712 3770 7712 3778 7712 3780 7713 3473 7713 3472 7713 3781 7714 3778 7714 3473 7714 3780 7715 3781 7715 3473 7715 3780 7716 3472 7716 3476 7716 3684 7717 3476 7717 3478 7717 3780 7718 3476 7718 3684 7718 3680 7719 3769 7719 3771 7719 3679 7720 3768 7720 3769 7720 3679 7721 3769 7721 3680 7721 3779 7722 3680 7722 3771 7722 3782 7723 3477 7723 3480 7723 3683 7724 3478 7724 3477 7724 3683 7725 3477 7725 3782 7725 3679 7726 3480 7726 3768 7726 3677 7727 3782 7727 3480 7727 3679 7728 3677 7728 3480 7728 3683 7729 3684 7729 3478 7729 3783 7730 3490 7730 3495 7730 3784 7731 3491 7731 3490 7731 3783 7732 3784 7732 3490 7732 3785 7733 3495 7733 3775 7733 3786 7734 3495 7734 3785 7734 3783 7735 3495 7735 3786 7735 3785 7736 3775 7736 3774 7736 3654 7737 3774 7737 3777 7737 3785 7738 3774 7738 3654 7738 3650 7739 3484 7739 3491 7739 3649 7740 3487 7740 3484 7740 3649 7741 3484 7741 3650 7741 3650 7742 3491 7742 3784 7742 3787 7743 3776 7743 3502 7743 3655 7744 3777 7744 3776 7744 3787 7745 3655 7745 3776 7745 3649 7746 3502 7746 3487 7746 3649 7747 3645 7747 3502 7747 3787 7748 3502 7748 3645 7748 3655 7749 3654 7749 3777 7749 3788 7750 3504 7750 3509 7750 3788 7751 3507 7751 3504 7751 3788 7752 3509 7752 3510 7752 3671 7753 3510 7753 3508 7753 3671 7754 3788 7754 3510 7754 3788 7755 3506 7755 3507 7755 3676 7756 3518 7756 3506 7756 3676 7757 3506 7757 3788 7757 3789 7758 3529 7758 3528 7758 3789 7759 3528 7759 3531 7759 3740 7760 3527 7760 3526 7760 3789 7761 3526 7761 3529 7761 3740 7762 3526 7762 3789 7762 3742 7763 3532 7763 3530 7763 3789 7764 3531 7764 3532 7764 3742 7765 3789 7765 3532 7765 3657 7766 3790 7766 3791 7766 3662 7767 3791 7767 3790 7767 3652 7768 3657 7768 3791 7768 3792 7769 3652 7769 3791 7769 3648 7770 3792 7770 3791 7770 3662 7771 3648 7771 3791 7771 3793 7772 3790 7772 3657 7772 3794 7773 3790 7773 3793 7773 3664 7774 3662 7774 3790 7774 3794 7775 3664 7775 3790 7775 3795 7776 3793 7776 3657 7776 3660 7777 3795 7777 3657 7777 3654 7778 3652 7778 3792 7778 3785 7779 3654 7779 3792 7779 3786 7780 3785 7780 3792 7780 3648 7781 3786 7781 3792 7781 3784 7782 3786 7782 3648 7782 3783 7783 3786 7783 3784 7783 3796 7784 3793 7784 3795 7784 3797 7785 3794 7785 3793 7785 3796 7786 3797 7786 3793 7786 3798 7787 3795 7787 3660 7787 3798 7788 3796 7788 3795 7788 3799 7789 3660 7789 3661 7789 3798 7790 3660 7790 3799 7790 3800 7791 3661 7791 3659 7791 3800 7792 3799 7792 3661 7792 3801 7793 3659 7793 3663 7793 3800 7794 3659 7794 3801 7794 3787 7795 3645 7795 3655 7795 3650 7796 3784 7796 3648 7796 3802 7797 3664 7797 3794 7797 3803 7798 3663 7798 3664 7798 3802 7799 3803 7799 3664 7799 3797 7800 3802 7800 3794 7800 3803 7801 3801 7801 3663 7801 3728 7802 3801 7802 3803 7802 3729 7803 3800 7803 3801 7803 3728 7804 3729 7804 3801 7804 3727 7805 3803 7805 3802 7805 3727 7806 3728 7806 3803 7806 3726 7807 3802 7807 3797 7807 3726 7808 3727 7808 3802 7808 3729 7809 3799 7809 3800 7809 3724 7810 3798 7810 3799 7810 3729 7811 3724 7811 3799 7811 3726 7812 3797 7812 3796 7812 3722 7813 3796 7813 3798 7813 3726 7814 3796 7814 3722 7814 3724 7815 3722 7815 3798 7815 3674 7816 3675 7816 3788 7816 3676 7817 3788 7817 3675 7817 3672 7818 3674 7818 3788 7818 3668 7819 3672 7819 3788 7819 3671 7820 3668 7820 3788 7820 3735 7821 3733 7821 3789 7821 3740 7822 3789 7822 3733 7822 3747 7823 3735 7823 3789 7823 3745 7824 3747 7824 3789 7824 3742 7825 3745 7825 3789 7825 3779 7826 3778 7826 3781 7826 3677 7827 3683 7827 3782 7827 3678 7828 3680 7828 3779 7828 3804 7829 3780 7829 3684 7829 3682 7830 3804 7830 3684 7830 3692 7831 3805 7831 3806 7831 3640 7832 3806 7832 3805 7832 3688 7833 3692 7833 3806 7833 3807 7834 3688 7834 3806 7834 3641 7835 3807 7835 3806 7835 3641 7836 3806 7836 3640 7836 3693 7837 3808 7837 3805 7837 3639 7838 3805 7838 3808 7838 3692 7839 3693 7839 3805 7839 3639 7840 3640 7840 3805 7840 3809 7841 3808 7841 3693 7841 3809 7842 3810 7842 3808 7842 3638 7843 3808 7843 3810 7843 3638 7844 3639 7844 3808 7844 3811 7845 3809 7845 3693 7845 3811 7846 3693 7846 3691 7846 3807 7847 3689 7847 3688 7847 3812 7848 3690 7848 3689 7848 3807 7849 3812 7849 3689 7849 3813 7850 3690 7850 3812 7850 3814 7851 3690 7851 3813 7851 3686 7852 3690 7852 3814 7852 3641 7853 3812 7853 3807 7853 3636 7854 3813 7854 3812 7854 3641 7855 3636 7855 3812 7855 3804 7856 3781 7856 3780 7856 3678 7857 3779 7857 3781 7857 3678 7858 3781 7858 3804 7858 3815 7859 3816 7859 3810 7859 3638 7860 3810 7860 3816 7860 3809 7861 3815 7861 3810 7861 3814 7862 3813 7862 3816 7862 3634 7863 3816 7863 3813 7863 3815 7864 3814 7864 3816 7864 3634 7865 3638 7865 3816 7865 3636 7866 3634 7866 3813 7866 3686 7867 3814 7867 3815 7867 3811 7868 3815 7868 3809 7868 3686 7869 3815 7869 3811 7869 3678 7870 3804 7870 3817 7870 3682 7871 3817 7871 3804 7871 3691 7872 3678 7872 3817 7872 3811 7873 3691 7873 3817 7873 3686 7874 3811 7874 3817 7874 3682 7875 3686 7875 3817 7875 3542 7876 3543 7876 3818 7876 3544 7877 3818 7877 3543 7877 3541 7878 3542 7878 3818 7878 3536 7879 3541 7879 3818 7879 3538 7880 3536 7880 3818 7880 3544 7881 3538 7881 3818 7881 3549 7882 3550 7882 3819 7882 3551 7883 3819 7883 3550 7883 3548 7884 3549 7884 3819 7884 3545 7885 3548 7885 3819 7885 3546 7886 3545 7886 3819 7886 3551 7887 3546 7887 3819 7887 3558 7888 3561 7888 3820 7888 3564 7889 3820 7889 3561 7889 3556 7890 3558 7890 3820 7890 3552 7891 3556 7891 3820 7891 3554 7892 3552 7892 3820 7892 3564 7893 3554 7893 3820 7893 3569 7894 3571 7894 3821 7894 3572 7895 3821 7895 3571 7895 3568 7896 3569 7896 3821 7896 3565 7897 3568 7897 3821 7897 3567 7898 3565 7898 3821 7898 3572 7899 3567 7899 3821 7899 3703 7900 3706 7900 3822 7900 3707 7901 3822 7901 3706 7901 3700 7902 3703 7902 3822 7902 3696 7903 3700 7903 3822 7903 3698 7904 3696 7904 3822 7904 3707 7905 3698 7905 3822 7905 3715 7906 3718 7906 3823 7906 3719 7907 3823 7907 3718 7907 3712 7908 3715 7908 3823 7908 3708 7909 3712 7909 3823 7909 3710 7910 3708 7910 3823 7910 3719 7911 3710 7911 3823 7911 3610 7912 3608 7912 3824 7912 3612 7913 3824 7913 3608 7913 3619 7914 3610 7914 3824 7914 3618 7915 3619 7915 3824 7915 3615 7916 3618 7916 3824 7916 3612 7917 3615 7917 3824 7917 3622 7918 3620 7918 3825 7918 3624 7919 3825 7919 3620 7919 3631 7920 3622 7920 3825 7920 3630 7921 3631 7921 3825 7921 3627 7922 3630 7922 3825 7922 3624 7923 3627 7923 3825 7923 3755 7924 3756 7924 3826 7924 3757 7925 3826 7925 3756 7925 3754 7926 3755 7926 3826 7926 3751 7927 3754 7927 3826 7927 3753 7928 3751 7928 3826 7928 3757 7929 3753 7929 3826 7929 3761 7930 3760 7930 3827 7930 3762 7931 3827 7931 3760 7931 3765 7932 3761 7932 3827 7932 3764 7933 3765 7933 3827 7933 3763 7934 3764 7934 3827 7934 3762 7935 3763 7935 3827 7935 3828 7936 3829 7936 3830 7936 3831 7937 3830 7937 3829 7937 3832 7938 3828 7938 3830 7938 3833 7939 3832 7939 3830 7939 3833 7940 3830 7940 3831 7940 3828 7941 3834 7941 3829 7941 3835 7942 3829 7942 3834 7942 3835 7943 3831 7943 3829 7943 3828 7944 3836 7944 3834 7944 3837 7945 3834 7945 3836 7945 3837 7946 3835 7946 3834 7946 3838 7947 3836 7947 3828 7947 3837 7948 3836 7948 3838 7948 3839 7949 3840 7949 3828 7949 3841 7950 3828 7950 3840 7950 3832 7951 3839 7951 3828 7951 3842 7952 3828 7952 3841 7952 3843 7953 3828 7953 3842 7953 3838 7954 3828 7954 3843 7954 3844 7955 3840 7955 3839 7955 3844 7956 3841 7956 3840 7956 3845 7957 3839 7957 3832 7957 3844 7958 3839 7958 3845 7958 3833 7959 3845 7959 3832 7959 3846 7960 3847 7960 3848 7960 3842 7961 3848 7961 3847 7961 3849 7962 3846 7962 3848 7962 3850 7963 3849 7963 3848 7963 3842 7964 3841 7964 3848 7964 3851 7965 3848 7965 3841 7965 3850 7966 3848 7966 3851 7966 3852 7967 3847 7967 3846 7967 3843 7968 3842 7968 3847 7968 3853 7969 3843 7969 3847 7969 3853 7970 3847 7970 3852 7970 3854 7971 3846 7971 3849 7971 3855 7972 3846 7972 3854 7972 3856 7973 3846 7973 3855 7973 3852 7974 3846 7974 3856 7974 3850 7975 3854 7975 3849 7975 3857 7976 3858 7976 3859 7976 3860 7977 3859 7977 3858 7977 3861 7978 3857 7978 3859 7978 3862 7979 3861 7979 3859 7979 3862 7980 3859 7980 3860 7980 3857 7981 3863 7981 3858 7981 3864 7982 3858 7982 3863 7982 3864 7983 3860 7983 3858 7983 3865 7984 3866 7984 3863 7984 3867 7985 3863 7985 3866 7985 3868 7986 3865 7986 3863 7986 3869 7987 3868 7987 3863 7987 3870 7988 3869 7988 3863 7988 3871 7989 3870 7989 3863 7989 3857 7990 3871 7990 3863 7990 3867 7991 3864 7991 3863 7991 3872 7992 3866 7992 3865 7992 3873 7993 3866 7993 3872 7993 3874 7994 3866 7994 3873 7994 3874 7995 3867 7995 3866 7995 3875 7996 3865 7996 3868 7996 3875 7997 3872 7997 3865 7997 3876 7998 3868 7998 3869 7998 3875 7999 3868 7999 3876 7999 3877 8000 3878 8000 3869 8000 3879 8001 3869 8001 3878 8001 3870 8002 3877 8002 3869 8002 3879 8003 3876 8003 3869 8003 3880 8004 3878 8004 3877 8004 3880 8005 3879 8005 3878 8005 3881 8006 3882 8006 3877 8006 3883 8007 3877 8007 3882 8007 3884 8008 3881 8008 3877 8008 3885 8009 3884 8009 3877 8009 3870 8010 3885 8010 3877 8010 3883 8011 3880 8011 3877 8011 3886 8012 3882 8012 3881 8012 3887 8013 3883 8013 3882 8013 3886 8014 3887 8014 3882 8014 3888 8015 3889 8015 3881 8015 3890 8016 3881 8016 3889 8016 3891 8017 3888 8017 3881 8017 3892 8018 3891 8018 3881 8018 3893 8019 3892 8019 3881 8019 3884 8020 3893 8020 3881 8020 3894 8021 3881 8021 3890 8021 3886 8022 3881 8022 3894 8022 3895 8023 3889 8023 3888 8023 3896 8024 3890 8024 3889 8024 3896 8025 3889 8025 3895 8025 3895 8026 3888 8026 3891 8026 3897 8027 3891 8027 3892 8027 3897 8028 3895 8028 3891 8028 3898 8029 3892 8029 3893 8029 3898 8030 3897 8030 3892 8030 3899 8031 3893 8031 3884 8031 3899 8032 3898 8032 3893 8032 3900 8033 3901 8033 3884 8033 3902 8034 3884 8034 3901 8034 3885 8035 3900 8035 3884 8035 3902 8036 3899 8036 3884 8036 3903 8037 3901 8037 3900 8037 3904 8038 3901 8038 3903 8038 3905 8039 3901 8039 3904 8039 3905 8040 3902 8040 3901 8040 3906 8041 3900 8041 3885 8041 3906 8042 3903 8042 3900 8042 3907 8043 3885 8043 3870 8043 3906 8044 3885 8044 3907 8044 3871 8045 3908 8045 3870 8045 3909 8046 3870 8046 3908 8046 3909 8047 3907 8047 3870 8047 3910 8048 3908 8048 3871 8048 3910 8049 3909 8049 3908 8049 3857 8050 3911 8050 3871 8050 3912 8051 3871 8051 3911 8051 3912 8052 3910 8052 3871 8052 3913 8053 3911 8053 3857 8053 3914 8054 3912 8054 3911 8054 3913 8055 3914 8055 3911 8055 3855 8056 3857 8056 3861 8056 3855 8057 3854 8057 3857 8057 3913 8058 3857 8058 3854 8058 3856 8059 3855 8059 3861 8059 3915 8060 3856 8060 3861 8060 3915 8061 3861 8061 3862 8061 3916 8062 3917 8062 3918 8062 3894 8063 3918 8063 3917 8063 3919 8064 3916 8064 3918 8064 3920 8065 3919 8065 3918 8065 3894 8066 3890 8066 3918 8066 3921 8067 3918 8067 3890 8067 3920 8068 3918 8068 3921 8068 3922 8069 3917 8069 3916 8069 3886 8070 3894 8070 3917 8070 3923 8071 3886 8071 3917 8071 3923 8072 3917 8072 3922 8072 3924 8073 3916 8073 3919 8073 3925 8074 3916 8074 3924 8074 3926 8075 3916 8075 3925 8075 3922 8076 3916 8076 3926 8076 3920 8077 3924 8077 3919 8077 3927 8078 3928 8078 3929 8078 3930 8079 3929 8079 3928 8079 3931 8080 3927 8080 3929 8080 3931 8081 3929 8081 3930 8081 3932 8082 3933 8082 3928 8082 3925 8083 3928 8083 3933 8083 3934 8084 3935 8084 3928 8084 3932 8085 3928 8085 3935 8085 3936 8086 3934 8086 3928 8086 3937 8087 3936 8087 3928 8087 3938 8088 3937 8088 3928 8088 3939 8089 3938 8089 3928 8089 3940 8090 3939 8090 3928 8090 3941 8091 3940 8091 3928 8091 3942 8092 3941 8092 3928 8092 3927 8093 3943 8093 3928 8093 3944 8094 3928 8094 3943 8094 3945 8095 3942 8095 3928 8095 3946 8096 3945 8096 3928 8096 3944 8097 3946 8097 3928 8097 3925 8098 3924 8098 3928 8098 3947 8099 3928 8099 3924 8099 3930 8100 3928 8100 3947 8100 3932 8101 3948 8101 3933 8101 3949 8102 3933 8102 3948 8102 3926 8103 3925 8103 3933 8103 3950 8104 3926 8104 3933 8104 3950 8105 3933 8105 3949 8105 3951 8106 3952 8106 3948 8106 3953 8107 3948 8107 3952 8107 3932 8108 3951 8108 3948 8108 3949 8109 3948 8109 3953 8109 3951 8110 3954 8110 3952 8110 3955 8111 3952 8111 3954 8111 3953 8112 3952 8112 3955 8112 3956 8113 3957 8113 3954 8113 3958 8114 3954 8114 3957 8114 3959 8115 3956 8115 3954 8115 3951 8116 3959 8116 3954 8116 3955 8117 3954 8117 3958 8117 3960 8118 3961 8118 3957 8118 3962 8119 3957 8119 3961 8119 3963 8120 3960 8120 3957 8120 3956 8121 3963 8121 3957 8121 3958 8122 3957 8122 3962 8122 3960 8123 3964 8123 3961 8123 3965 8124 3961 8124 3964 8124 3965 8125 3962 8125 3961 8125 3966 8126 3964 8126 3960 8126 3965 8127 3964 8127 3966 8127 3963 8128 3935 8128 3960 8128 3967 8129 3960 8129 3935 8129 3967 8130 3966 8130 3960 8130 3968 8131 3935 8131 3934 8131 3969 8132 3935 8132 3963 8132 3969 8133 3932 8133 3935 8133 3968 8134 3967 8134 3935 8134 3970 8135 3934 8135 3936 8135 3968 8136 3934 8136 3970 8136 3971 8137 3936 8137 3937 8137 3971 8138 3970 8138 3936 8138 3972 8139 3937 8139 3938 8139 3972 8140 3971 8140 3937 8140 3973 8141 3938 8141 3939 8141 3972 8142 3938 8142 3973 8142 3974 8143 3939 8143 3940 8143 3973 8144 3939 8144 3974 8144 3975 8145 3940 8145 3941 8145 3975 8146 3974 8146 3940 8146 3976 8147 3943 8147 3941 8147 3977 8148 3941 8148 3943 8148 3978 8149 3941 8149 3942 8149 3978 8150 3976 8150 3941 8150 3975 8151 3941 8151 3977 8151 3979 8152 3943 8152 3927 8152 3976 8153 3944 8153 3943 8153 3977 8154 3943 8154 3979 8154 3931 8155 3979 8155 3927 8155 3980 8156 3942 8156 3945 8156 3981 8157 3978 8157 3942 8157 3981 8158 3942 8158 3980 8158 3982 8159 3945 8159 3946 8159 3982 8160 3980 8160 3945 8160 3983 8161 3946 8161 3944 8161 3983 8162 3982 8162 3946 8162 3984 8163 3944 8163 3976 8163 3984 8164 3983 8164 3944 8164 3985 8165 3976 8165 3978 8165 3985 8166 3984 8166 3976 8166 3981 8167 3985 8167 3978 8167 3986 8168 3963 8168 3956 8168 3987 8169 3969 8169 3963 8169 3986 8170 3987 8170 3963 8170 3988 8171 3956 8171 3959 8171 3988 8172 3986 8172 3956 8172 3989 8173 3959 8173 3951 8173 3989 8174 3988 8174 3959 8174 3990 8175 3951 8175 3932 8175 3989 8176 3951 8176 3990 8176 3991 8177 3932 8177 3969 8177 3991 8178 3990 8178 3932 8178 3987 8179 3991 8179 3969 8179 3992 8180 3993 8180 3994 8180 3995 8181 3994 8181 3993 8181 3996 8182 3992 8182 3994 8182 3996 8183 3994 8183 3995 8183 3997 8184 3998 8184 3993 8184 3999 8185 3993 8185 3998 8185 3992 8186 3997 8186 3993 8186 3999 8187 3995 8187 3993 8187 4000 8188 4001 8188 3998 8188 4002 8189 3998 8189 4001 8189 3997 8190 4000 8190 3998 8190 4002 8191 3999 8191 3998 8191 4000 8192 4003 8192 4001 8192 4004 8193 4001 8193 4003 8193 4004 8194 4002 8194 4001 8194 4000 8195 4005 8195 4003 8195 4006 8196 4003 8196 4005 8196 4006 8197 4004 8197 4003 8197 4000 8198 4007 8198 4005 8198 4008 8199 4005 8199 4007 8199 4009 8200 4005 8200 4008 8200 4006 8201 4005 8201 4009 8201 4010 8202 4011 8202 4007 8202 3873 8203 4007 8203 4011 8203 4000 8204 4010 8204 4007 8204 3873 8205 3872 8205 4007 8205 4008 8206 4007 8206 3872 8206 4012 8207 4011 8207 4010 8207 4013 8208 3873 8208 4011 8208 4014 8209 4011 8209 4012 8209 4013 8210 4011 8210 4014 8210 4000 8211 4015 8211 4010 8211 4012 8212 4010 8212 4015 8212 4000 8213 4016 8213 4015 8213 4017 8214 4015 8214 4016 8214 4012 8215 4015 8215 4017 8215 4000 8216 4018 8216 4016 8216 4019 8217 4016 8217 4018 8217 4017 8218 4016 8218 4019 8218 4020 8219 4021 8219 4018 8219 4022 8220 4018 8220 4021 8220 4023 8221 4020 8221 4018 8221 4000 8222 4023 8222 4018 8222 4022 8223 4019 8223 4018 8223 4024 8224 4021 8224 4020 8224 4022 8225 4021 8225 4024 8225 4025 8226 4020 8226 4023 8226 4024 8227 4020 8227 4025 8227 4026 8228 4023 8228 4000 8228 4026 8229 4025 8229 4023 8229 4027 8230 4000 8230 3997 8230 4026 8231 4000 8231 4027 8231 4028 8232 3997 8232 3992 8232 4027 8233 3997 8233 4028 8233 3996 8234 4028 8234 3992 8234 4029 8235 4030 8235 4031 8235 4032 8236 4031 8236 4030 8236 4033 8237 4029 8237 4031 8237 4033 8238 4031 8238 4032 8238 4034 8239 4035 8239 4030 8239 4036 8240 4030 8240 4035 8240 4029 8241 4034 8241 4030 8241 4036 8242 4032 8242 4030 8242 4037 8243 4038 8243 4035 8243 4039 8244 4035 8244 4038 8244 4034 8245 4037 8245 4035 8245 4039 8246 4036 8246 4035 8246 4037 8247 4040 8247 4038 8247 4041 8248 4038 8248 4040 8248 4041 8249 4039 8249 4038 8249 4037 8250 4042 8250 4040 8250 4043 8251 4040 8251 4042 8251 4043 8252 4041 8252 4040 8252 4037 8253 4044 8253 4042 8253 4045 8254 4042 8254 4044 8254 4046 8255 4042 8255 4045 8255 4043 8256 4042 8256 4046 8256 4047 8257 4048 8257 4044 8257 3904 8258 4044 8258 4048 8258 4037 8259 4047 8259 4044 8259 3904 8260 3903 8260 4044 8260 4045 8261 4044 8261 3903 8261 4049 8262 4048 8262 4047 8262 4050 8263 3904 8263 4048 8263 4051 8264 4048 8264 4049 8264 4050 8265 4048 8265 4051 8265 4037 8266 4052 8266 4047 8266 4049 8267 4047 8267 4052 8267 4037 8268 4053 8268 4052 8268 4054 8269 4052 8269 4053 8269 4049 8270 4052 8270 4054 8270 4037 8271 4055 8271 4053 8271 4056 8272 4053 8272 4055 8272 4054 8273 4053 8273 4056 8273 4057 8274 4058 8274 4055 8274 4059 8275 4055 8275 4058 8275 4060 8276 4057 8276 4055 8276 4037 8277 4060 8277 4055 8277 4059 8278 4056 8278 4055 8278 4061 8279 4058 8279 4057 8279 4059 8280 4058 8280 4061 8280 4062 8281 4057 8281 4060 8281 4061 8282 4057 8282 4062 8282 4063 8283 4060 8283 4037 8283 4063 8284 4062 8284 4060 8284 4064 8285 4037 8285 4034 8285 4063 8286 4037 8286 4064 8286 4065 8287 4034 8287 4029 8287 4064 8288 4034 8288 4065 8288 4033 8289 4065 8289 4029 8289 4066 8290 3924 8290 3920 8290 4066 8291 3947 8291 3924 8291 4067 8292 3872 8292 3875 8292 4067 8293 4008 8293 3872 8293 4013 8294 3874 8294 3873 8294 4068 8295 3903 8295 3906 8295 4068 8296 4045 8296 3903 8296 4050 8297 3905 8297 3904 8297 4069 8298 3841 8298 3844 8298 4069 8299 3851 8299 3841 8299 4070 8300 3854 8300 3850 8300 4070 8301 3913 8301 3854 8301 4071 8302 3890 8302 3896 8302 4071 8303 3921 8303 3890 8303 3844 8304 3831 8304 3835 8304 3833 8305 3831 8305 3844 8305 3837 8306 3844 8306 3835 8306 3862 8307 3860 8307 3864 8307 3897 8308 3864 8308 3867 8308 3899 8309 3864 8309 3897 8309 3862 8310 3864 8310 3899 8310 3897 8311 3867 8311 3876 8311 3874 8312 3876 8312 3867 8312 3896 8313 3876 8313 3879 8313 3896 8314 3897 8314 3876 8314 3875 8315 3876 8315 3874 8315 3896 8316 3879 8316 3880 8316 3896 8317 3880 8317 3883 8317 3896 8318 3883 8318 3887 8318 3886 8319 3896 8319 3887 8319 3896 8320 3895 8320 3897 8320 3899 8321 3897 8321 3898 8321 3862 8322 3899 8322 3902 8322 3862 8323 3902 8323 3907 8323 3905 8324 3907 8324 3902 8324 3862 8325 3907 8325 3909 8325 3905 8326 3906 8326 3907 8326 3862 8327 3909 8327 3910 8327 3862 8328 3910 8328 3912 8328 3862 8329 3912 8329 3914 8329 3913 8330 3862 8330 3914 8330 3975 8331 3973 8331 3974 8331 3980 8332 3973 8332 3977 8332 3975 8333 3977 8333 3973 8333 3972 8334 3973 8334 3980 8334 3981 8335 3977 8335 3979 8335 3985 8336 3979 8336 3984 8336 3931 8337 3984 8337 3979 8337 3981 8338 3979 8338 3985 8338 3981 8339 3980 8339 3977 8339 3989 8340 3958 8340 3962 8340 3988 8341 3962 8341 3986 8341 3949 8342 3986 8342 3962 8342 3989 8343 3962 8343 3988 8343 3949 8344 3962 8344 3965 8344 3989 8345 3990 8345 3958 8345 3949 8346 3958 8346 3990 8346 3949 8347 3955 8347 3958 8347 3949 8348 3966 8348 3967 8348 3949 8349 3965 8349 3966 8349 3949 8350 3967 8350 3968 8350 3949 8351 3970 8351 3971 8351 3949 8352 3968 8352 3970 8352 3949 8353 3971 8353 3972 8353 3972 8354 3980 8354 3982 8354 3972 8355 3982 8355 3983 8355 3930 8356 3983 8356 3984 8356 3949 8357 3972 8357 3983 8357 3947 8358 3949 8358 3983 8358 3930 8359 3947 8359 3983 8359 3931 8360 3930 8360 3984 8360 3949 8361 3990 8361 3991 8361 3949 8362 3991 8362 3987 8362 3949 8363 3987 8363 3986 8363 4026 8364 4024 8364 4025 8364 4022 8365 4024 8365 4027 8365 4026 8366 4027 8366 4024 8366 4022 8367 4027 8367 4028 8367 4004 8368 4028 8368 4002 8368 3996 8369 4002 8369 4028 8369 4006 8370 4028 8370 4004 8370 4022 8371 4028 8371 4019 8371 4017 8372 4019 8372 4028 8372 4012 8373 4017 8373 4028 8373 4014 8374 4012 8374 4028 8374 4009 8375 4014 8375 4028 8375 4006 8376 4009 8376 4028 8376 4002 8377 3995 8377 3999 8377 3996 8378 3995 8378 4002 8378 4063 8379 4061 8379 4062 8379 4059 8380 4061 8380 4064 8380 4063 8381 4064 8381 4061 8381 4059 8382 4064 8382 4065 8382 4041 8383 4065 8383 4039 8383 4033 8384 4039 8384 4065 8384 4043 8385 4065 8385 4041 8385 4059 8386 4065 8386 4056 8386 4054 8387 4056 8387 4065 8387 4049 8388 4054 8388 4065 8388 4051 8389 4049 8389 4065 8389 4046 8390 4051 8390 4065 8390 4043 8391 4046 8391 4065 8391 4039 8392 4032 8392 4036 8392 4033 8393 4032 8393 4039 8393 3833 8394 3844 8394 3845 8394 3838 8395 3843 8395 3844 8395 3853 8396 3844 8396 3843 8396 3837 8397 3838 8397 3844 8397 4069 8398 3844 8398 3853 8398 3852 8399 3850 8399 3851 8399 4069 8400 3852 8400 3851 8400 3852 8401 3856 8401 3850 8401 3915 8402 3850 8402 3856 8402 4070 8403 3850 8403 3915 8403 4069 8404 3853 8404 3852 8404 4013 8405 3875 8405 3874 8405 4070 8406 3862 8406 3913 8406 4070 8407 3915 8407 3862 8407 4050 8408 3906 8408 3905 8408 4068 8409 3906 8409 4050 8409 3923 8410 3896 8410 3886 8410 4071 8411 3896 8411 3923 8411 4067 8412 3875 8412 4013 8412 3922 8413 3920 8413 3921 8413 4071 8414 3922 8414 3921 8414 3922 8415 3926 8415 3920 8415 3950 8416 3920 8416 3926 8416 4066 8417 3920 8417 3950 8417 4071 8418 3923 8418 3922 8418 3949 8419 3953 8419 3955 8419 4066 8420 3949 8420 3947 8420 4066 8421 3950 8421 3949 8421 4009 8422 4008 8422 4014 8422 4067 8423 4014 8423 4008 8423 4067 8424 4013 8424 4014 8424 4046 8425 4045 8425 4051 8425 4068 8426 4051 8426 4045 8426 4068 8427 4050 8427 4051 8427 4072 8428 4073 8428 4074 8428 4075 8429 4074 8429 4073 8429 2344 8430 4074 8430 4076 8430 4077 8431 4076 8431 4074 8431 4078 8432 4074 8432 2344 8432 4079 8433 4072 8433 4074 8433 4078 8434 4079 8434 4074 8434 4077 8435 4074 8435 4075 8435 4080 8436 4081 8436 4073 8436 4082 8437 4073 8437 4081 8437 4072 8438 4080 8438 4073 8438 4082 8439 4075 8439 4073 8439 4083 8440 4084 8440 4081 8440 4085 8441 4081 8441 4084 8441 4080 8442 4083 8442 4081 8442 4082 8443 4081 8443 4085 8443 4086 8444 4087 8444 4084 8444 4088 8445 4084 8445 4087 8445 4083 8446 4086 8446 4084 8446 4085 8447 4084 8447 4088 8447 4089 8448 4090 8448 4087 8448 4091 8449 4087 8449 4090 8449 4092 8450 4089 8450 4087 8450 4086 8451 4092 8451 4087 8451 4088 8452 4087 8452 4091 8452 4089 8453 4093 8453 4090 8453 4094 8454 4090 8454 4093 8454 4091 8455 4090 8455 4094 8455 4089 8456 4076 8456 4093 8456 4095 8457 4093 8457 4076 8457 4094 8458 4093 8458 4095 8458 4089 8459 2344 8459 4076 8459 4095 8460 4076 8460 4077 8460 4096 8461 4097 8461 4098 8461 4099 8462 4098 8462 4097 8462 4100 8463 4098 8463 4101 8463 4102 8464 4101 8464 4098 8464 4103 8465 4096 8465 4098 8465 4100 8466 4103 8466 4098 8466 4102 8467 4098 8467 4099 8467 4096 8468 4104 8468 4097 8468 4105 8469 4097 8469 4104 8469 4105 8470 4099 8470 4097 8470 4096 8471 4106 8471 4104 8471 4107 8472 4104 8472 4106 8472 4105 8473 4104 8473 4107 8473 2290 8474 4108 8474 4106 8474 4109 8475 4106 8475 4108 8475 4096 8476 2290 8476 4106 8476 4107 8477 4106 8477 4109 8477 4110 8478 4111 8478 4108 8478 4112 8479 4108 8479 4111 8479 2290 8480 4113 8480 4108 8480 4110 8481 4108 8481 4113 8481 4109 8482 4108 8482 4112 8482 4110 8483 4114 8483 4111 8483 4115 8484 4111 8484 4114 8484 4112 8485 4111 8485 4115 8485 4116 8486 4101 8486 4114 8486 4117 8487 4114 8487 4101 8487 4110 8488 4116 8488 4114 8488 4115 8489 4114 8489 4117 8489 4116 8490 4100 8490 4101 8490 4117 8491 4101 8491 4102 8491 4118 8492 4119 8492 4120 8492 4121 8493 4120 8493 4119 8493 4118 8494 4120 8494 4122 8494 4123 8495 4122 8495 4120 8495 4123 8496 4120 8496 4121 8496 4124 8497 4125 8497 4119 8497 4126 8498 4119 8498 4125 8498 4118 8499 4124 8499 4119 8499 4126 8500 4121 8500 4119 8500 4124 8501 4127 8501 4125 8501 4128 8502 4125 8502 4127 8502 4126 8503 4125 8503 4128 8503 2293 8504 4129 8504 4127 8504 4130 8505 4127 8505 4129 8505 4124 8506 2293 8506 4127 8506 4128 8507 4127 8507 4130 8507 4131 8508 4132 8508 4129 8508 4133 8509 4129 8509 4132 8509 2293 8510 4131 8510 4129 8510 4130 8511 4129 8511 4133 8511 4131 8512 4134 8512 4132 8512 4135 8513 4132 8513 4134 8513 4133 8514 4132 8514 4135 8514 4136 8515 4122 8515 4134 8515 4137 8516 4134 8516 4122 8516 4136 8517 4134 8517 4131 8517 4135 8518 4134 8518 4137 8518 4136 8519 4118 8519 4122 8519 4137 8520 4122 8520 4123 8520 4131 8521 4138 8521 2406 8521 4139 8522 2406 8522 4138 8522 4136 8523 2406 8523 4140 8523 4141 8524 4140 8524 2406 8524 4136 8525 4131 8525 2406 8525 4141 8526 2406 8526 4139 8526 4131 8527 4142 8527 4138 8527 4143 8528 4138 8528 4142 8528 4143 8529 4139 8529 4138 8529 4131 8530 4144 8530 4142 8530 4145 8531 4142 8531 4144 8531 4143 8532 4142 8532 4145 8532 4096 8533 2360 8533 4144 8533 4146 8534 4144 8534 2360 8534 4131 8535 4096 8535 4144 8535 4145 8536 4144 8536 4146 8536 4147 8537 4148 8537 2360 8537 4149 8538 2360 8538 4148 8538 4147 8539 2360 8539 4096 8539 4146 8540 2360 8540 4149 8540 4147 8541 4150 8541 4148 8541 4151 8542 4148 8542 4150 8542 4149 8543 4148 8543 4151 8543 4147 8544 4140 8544 4150 8544 4152 8545 4150 8545 4140 8545 4151 8546 4150 8546 4152 8546 4147 8547 4136 8547 4140 8547 4152 8548 4140 8548 4141 8548 4089 8549 4153 8549 2344 8549 4154 8550 2344 8550 4153 8550 4078 8551 2344 8551 4155 8551 4156 8552 4155 8552 2344 8552 4156 8553 2344 8553 4154 8553 4157 8554 4158 8554 4153 8554 4159 8555 4153 8555 4158 8555 4089 8556 4157 8556 4153 8556 4159 8557 4154 8557 4153 8557 4157 8558 4160 8558 4158 8558 4161 8559 4158 8559 4160 8559 4159 8560 4158 8560 4161 8560 4157 8561 2405 8561 4160 8561 4162 8562 4160 8562 2405 8562 4161 8563 4160 8563 4162 8563 4124 8564 4163 8564 2405 8564 4164 8565 2405 8565 4163 8565 4124 8566 2405 8566 4157 8566 4162 8567 2405 8567 4164 8567 4078 8568 4165 8568 4163 8568 4166 8569 4163 8569 4165 8569 4124 8570 4078 8570 4163 8570 4164 8571 4163 8571 4166 8571 4078 8572 4155 8572 4165 8572 4167 8573 4165 8573 4155 8573 4166 8574 4165 8574 4167 8574 4167 8575 4155 8575 4156 8575 2290 8576 4168 8576 4113 8576 4169 8577 4113 8577 4168 8577 4170 8578 4110 8578 4113 8578 4170 8579 4113 8579 4169 8579 4169 8580 4168 8580 2290 8580 4171 8581 2290 8581 4096 8581 4169 8582 2290 8582 4171 8582 4172 8583 4096 8583 4131 8583 4173 8584 4147 8584 4096 8584 4103 8585 4173 8585 4096 8585 4171 8586 4096 8586 4172 8586 4174 8587 4131 8587 2293 8587 4172 8588 4131 8588 4174 8588 4124 8589 4157 8589 2293 8589 4175 8590 2293 8590 4157 8590 4174 8591 2293 8591 4175 8591 4176 8592 4157 8592 4089 8592 4175 8593 4157 8593 4176 8593 4092 8594 1978 8594 4089 8594 4177 8595 4089 8595 1978 8595 4176 8596 4089 8596 4177 8596 4178 8597 1978 8597 4092 8597 4177 8598 1978 8598 4178 8598 4178 8599 4092 8599 4086 8599 4179 8600 4086 8600 4083 8600 4179 8601 4178 8601 4086 8601 4180 8602 4083 8602 4080 8602 4180 8603 4179 8603 4083 8603 4181 8604 4080 8604 4072 8604 4181 8605 4182 8605 4080 8605 4180 8606 4080 8606 4182 8606 4181 8607 4072 8607 4079 8607 4078 8608 4183 8608 4079 8608 4184 8609 4079 8609 4183 8609 4184 8610 4181 8610 4079 8610 4185 8611 4183 8611 4078 8611 4184 8612 4183 8612 4185 8612 4186 8613 4078 8613 4124 8613 4186 8614 4185 8614 4078 8614 4187 8615 4124 8615 4118 8615 4187 8616 4186 8616 4124 8616 4188 8617 4118 8617 4136 8617 4188 8618 4187 8618 4118 8618 4189 8619 4136 8619 4147 8619 4189 8620 4188 8620 4136 8620 4190 8621 4147 8621 4173 8621 4190 8622 4189 8622 4147 8622 4191 8623 4173 8623 4103 8623 4191 8624 4190 8624 4173 8624 4192 8625 4103 8625 4100 8625 4192 8626 4191 8626 4103 8626 4193 8627 4100 8627 4116 8627 4193 8628 4194 8628 4100 8628 4192 8629 4100 8629 4194 8629 4193 8630 4116 8630 4110 8630 4170 8631 4193 8631 4110 8631 4094 8632 4177 8632 4178 8632 4091 8633 4178 8633 4195 8633 4179 8634 4195 8634 4178 8634 4091 8635 4094 8635 4178 8635 4126 8636 4176 8636 4177 8636 4172 8637 4174 8637 4177 8637 4121 8638 4177 8638 4174 8638 4095 8639 4172 8639 4177 8639 4094 8640 4095 8640 4177 8640 4126 8641 4177 8641 4121 8641 4133 8642 4175 8642 4176 8642 4130 8643 4133 8643 4176 8643 4128 8644 4130 8644 4176 8644 4126 8645 4128 8645 4176 8645 4135 8646 4174 8646 4175 8646 4133 8647 4135 8647 4175 8647 4123 8648 4121 8648 4174 8648 4137 8649 4123 8649 4174 8649 4135 8650 4137 8650 4174 8650 4112 8651 4171 8651 4172 8651 4107 8652 4172 8652 4095 8652 4109 8653 4112 8653 4172 8653 4107 8654 4109 8654 4172 8654 4115 8655 4196 8655 4171 8655 4169 8656 4171 8656 4196 8656 4112 8657 4115 8657 4171 8657 4197 8658 4198 8658 4196 8658 4199 8659 4196 8659 4198 8659 4195 8660 4197 8660 4196 8660 4117 8661 4195 8661 4196 8661 4115 8662 4117 8662 4196 8662 4199 8663 4169 8663 4196 8663 4197 8664 4200 8664 4198 8664 4201 8665 4198 8665 4200 8665 4199 8666 4198 8666 4201 8666 4202 8667 4200 8667 4197 8667 4203 8668 4201 8668 4200 8668 4202 8669 4203 8669 4200 8669 4204 8670 4197 8670 4195 8670 4205 8671 4202 8671 4197 8671 4204 8672 4205 8672 4197 8672 4088 8673 4091 8673 4195 8673 4085 8674 4088 8674 4195 8674 4117 8675 4085 8675 4195 8675 4179 8676 4204 8676 4195 8676 4105 8677 4077 8677 4075 8677 4099 8678 4075 8678 4082 8678 4105 8679 4075 8679 4099 8679 4107 8680 4095 8680 4077 8680 4105 8681 4107 8681 4077 8681 4102 8682 4082 8682 4085 8682 4117 8683 4102 8683 4085 8683 4102 8684 4099 8684 4082 8684 4202 8685 4201 8685 4203 8685 4206 8686 4201 8686 4202 8686 4207 8687 4199 8687 4201 8687 4208 8688 4207 8688 4201 8688 4208 8689 4201 8689 4206 8689 4209 8690 4202 8690 4205 8690 4206 8691 4202 8691 4209 8691 4210 8692 4205 8692 4204 8692 4211 8693 4205 8693 4210 8693 4211 8694 4212 8694 4205 8694 4213 8695 4205 8695 4212 8695 4213 8696 4209 8696 4205 8696 4180 8697 4204 8697 4179 8697 4186 8698 4204 8698 4185 8698 4184 8699 4185 8699 4204 8699 4214 8700 4204 8700 4186 8700 4181 8701 4204 8701 4182 8701 4180 8702 4182 8702 4204 8702 4184 8703 4204 8703 4181 8703 4215 8704 4210 8704 4204 8704 4216 8705 4215 8705 4204 8705 4214 8706 4216 8706 4204 8706 4170 8707 4169 8707 4199 8707 4192 8708 4199 8708 4207 8708 4193 8709 4199 8709 4194 8709 4192 8710 4194 8710 4199 8710 4170 8711 4199 8711 4193 8711 4192 8712 4207 8712 4191 8712 4217 8713 4191 8713 4207 8713 4218 8714 4207 8714 4219 8714 4220 8715 4219 8715 4207 8715 4217 8716 4207 8716 4218 8716 4208 8717 4220 8717 4207 8717 4221 8718 4186 8718 4187 8718 4221 8719 4214 8719 4186 8719 4222 8720 4187 8720 4188 8720 4223 8721 4221 8721 4187 8721 4222 8722 4223 8722 4187 8722 4224 8723 4188 8723 4189 8723 4225 8724 4222 8724 4188 8724 4224 8725 4225 8725 4188 8725 4226 8726 4189 8726 4190 8726 4226 8727 4224 8727 4189 8727 4217 8728 4190 8728 4191 8728 4227 8729 4226 8729 4190 8729 4228 8730 4227 8730 4190 8730 4217 8731 4228 8731 4190 8731 4143 8732 4141 8732 4139 8732 4145 8733 4152 8733 4141 8733 4143 8734 4145 8734 4141 8734 4146 8735 4151 8735 4152 8735 4145 8736 4146 8736 4152 8736 4146 8737 4149 8737 4151 8737 4159 8738 4156 8738 4154 8738 4161 8739 4167 8739 4156 8739 4159 8740 4161 8740 4156 8740 4162 8741 4166 8741 4167 8741 4161 8742 4162 8742 4167 8742 4162 8743 4164 8743 4166 8743 4213 8744 4229 8744 4210 8744 4230 8745 4210 8745 4229 8745 4231 8746 4211 8746 4210 8746 4215 8747 4213 8747 4210 8747 4232 8748 4210 8748 4230 8748 4231 8749 4210 8749 4232 8749 4213 8750 4212 8750 4229 8750 4233 8751 4229 8751 4212 8751 4234 8752 4229 8752 4233 8752 4230 8753 4229 8753 4234 8753 4235 8754 4212 8754 4211 8754 4236 8755 4212 8755 4235 8755 4233 8756 4212 8756 4236 8756 4237 8757 4235 8757 4211 8757 4237 8758 4211 8758 4231 8758 4220 8759 4238 8759 4219 8759 4239 8760 4219 8760 4238 8760 4240 8761 4218 8761 4219 8761 4241 8762 4219 8762 4239 8762 4240 8763 4219 8763 4241 8763 4242 8764 4243 8764 4238 8764 4244 8765 4238 8765 4243 8765 4245 8766 4242 8766 4238 8766 4220 8767 4245 8767 4238 8767 4246 8768 4238 8768 4244 8768 4239 8769 4238 8769 4246 8769 4242 8770 4218 8770 4243 8770 4247 8771 4243 8771 4218 8771 4248 8772 4243 8772 4247 8772 4244 8773 4243 8773 4248 8773 4242 8774 4217 8774 4218 8774 4249 8775 4247 8775 4218 8775 4249 8776 4218 8776 4240 8776 4250 8777 4251 8777 4209 8777 4206 8778 4209 8778 4251 8778 4252 8779 4250 8779 4209 8779 4213 8780 4252 8780 4209 8780 4253 8781 4251 8781 4250 8781 4254 8782 4251 8782 4253 8782 4206 8783 4251 8783 4254 8783 4253 8784 4250 8784 4252 8784 4255 8785 4252 8785 4213 8785 4253 8786 4252 8786 4255 8786 4256 8787 4213 8787 4215 8787 4255 8788 4213 8788 4256 8788 4257 8789 4215 8789 4216 8789 4257 8790 4256 8790 4215 8790 4258 8791 4216 8791 4214 8791 4258 8792 4257 8792 4216 8792 4259 8793 4214 8793 4221 8793 4259 8794 4258 8794 4214 8794 4260 8795 4221 8795 4223 8795 4260 8796 4259 8796 4221 8796 4261 8797 4223 8797 4222 8797 4261 8798 4260 8798 4223 8798 4262 8799 4222 8799 4225 8799 4262 8800 4261 8800 4222 8800 4263 8801 4225 8801 4224 8801 4263 8802 4262 8802 4225 8802 4264 8803 4224 8803 4226 8803 4264 8804 4263 8804 4224 8804 4265 8805 4226 8805 4227 8805 4265 8806 4264 8806 4226 8806 4266 8807 4227 8807 4228 8807 4266 8808 4265 8808 4227 8808 4267 8809 4228 8809 4217 8809 4267 8810 4266 8810 4228 8810 4268 8811 4217 8811 4242 8811 4268 8812 4267 8812 4217 8812 4269 8813 4242 8813 4245 8813 4269 8814 4268 8814 4242 8814 4220 8815 4270 8815 4245 8815 4271 8816 4245 8816 4270 8816 4271 8817 4269 8817 4245 8817 4272 8818 4273 8818 4270 8818 4274 8819 4270 8819 4273 8819 4220 8820 4272 8820 4270 8820 4274 8821 4271 8821 4270 8821 4275 8822 4273 8822 4272 8822 4274 8823 4273 8823 4276 8823 4275 8824 4276 8824 4273 8824 4275 8825 4272 8825 4220 8825 4275 8826 4220 8826 4208 8826 4271 8827 4256 8827 4257 8827 4274 8828 4256 8828 4271 8828 4255 8829 4256 8829 4274 8829 4269 8830 4257 8830 4258 8830 4271 8831 4257 8831 4269 8831 4268 8832 4258 8832 4259 8832 4269 8833 4258 8833 4268 8833 4267 8834 4259 8834 4260 8834 4268 8835 4259 8835 4267 8835 4266 8836 4260 8836 4261 8836 4267 8837 4260 8837 4266 8837 4265 8838 4261 8838 4262 8838 4266 8839 4261 8839 4265 8839 4264 8840 4262 8840 4263 8840 4265 8841 4262 8841 4264 8841 4255 8842 4274 8842 4276 8842 4253 8843 4255 8843 4276 8843 4275 8844 4253 8844 4276 8844 4275 8845 4254 8845 4253 8845 4208 8846 4206 8846 4254 8846 4275 8847 4208 8847 4254 8847 4236 8848 4235 8848 4277 8848 4237 8849 4277 8849 4235 8849 4233 8850 4236 8850 4277 8850 4234 8851 4233 8851 4277 8851 4230 8852 4234 8852 4277 8852 4232 8853 4230 8853 4277 8853 4231 8854 4232 8854 4277 8854 4237 8855 4231 8855 4277 8855 4248 8856 4247 8856 4278 8856 4249 8857 4278 8857 4247 8857 4244 8858 4248 8858 4278 8858 4246 8859 4244 8859 4278 8859 4239 8860 4246 8860 4278 8860 4241 8861 4239 8861 4278 8861 4240 8862 4241 8862 4278 8862 4249 8863 4240 8863 4278 8863 4279 8864 4280 8864 4281 8864 4282 8865 4281 8865 4280 8865 4283 8866 4281 8866 4284 8866 4285 8867 4284 8867 4281 8867 4279 8868 4281 8868 4283 8868 4282 8869 4285 8869 4281 8869 4286 8870 4287 8870 4280 8870 4288 8871 4280 8871 4287 8871 4289 8872 4286 8872 4280 8872 4279 8873 4289 8873 4280 8873 4288 8874 4282 8874 4280 8874 4290 8875 4284 8875 4287 8875 4291 8876 4287 8876 4284 8876 4286 8877 4290 8877 4287 8877 4288 8878 4287 8878 4291 8878 4292 8879 4283 8879 4284 8879 4290 8880 4292 8880 4284 8880 4285 8881 4291 8881 4284 8881 4293 8882 4283 8882 4292 8882 4294 8883 4279 8883 4283 8883 4293 8884 4294 8884 4283 8884 4295 8885 4292 8885 4290 8885 4296 8886 4292 8886 4295 8886 4293 8887 4292 8887 4296 8887 4297 8888 4290 8888 4286 8888 4295 8889 4290 8889 4297 8889 4298 8890 4286 8890 4289 8890 4298 8891 4297 8891 4286 8891 4299 8892 4289 8892 4279 8892 4299 8893 4300 8893 4289 8893 4298 8894 4289 8894 4300 8894 4299 8895 4279 8895 4294 8895 4301 8896 4291 8896 4285 8896 4301 8897 4302 8897 4291 8897 4288 8898 4291 8898 4302 8898 4303 8899 4285 8899 4282 8899 4303 8900 4301 8900 4285 8900 4303 8901 4282 8901 4304 8901 4288 8902 4304 8902 4282 8902 4288 8903 4302 8903 4304 8903 4305 8904 4304 8904 4302 8904 4306 8905 4303 8905 4304 8905 4305 8906 4306 8906 4304 8906 4307 8907 4302 8907 4301 8907 4307 8908 4305 8908 4302 8908 4308 8909 4301 8909 4303 8909 4307 8910 4301 8910 4308 8910 4306 8911 4308 8911 4303 8911 4305 8912 4308 8912 4306 8912 4307 8913 4308 8913 4305 8913 4309 8914 4310 8914 4311 8914 4312 8915 4311 8915 4310 8915 4313 8916 4309 8916 4311 8916 4313 8917 4311 8917 4312 8917 4314 8918 4315 8918 4310 8918 4316 8919 4310 8919 4315 8919 4317 8920 4310 8920 4309 8920 4317 8921 4318 8921 4310 8921 4319 8922 4310 8922 4318 8922 4319 8923 4314 8923 4310 8923 4316 8924 4312 8924 4310 8924 4320 8925 4321 8925 4315 8925 4322 8926 4315 8926 4321 8926 4314 8927 4320 8927 4315 8927 4316 8928 4315 8928 4322 8928 4323 8929 4321 8929 4320 8929 4322 8930 4321 8930 4323 8930 4317 8931 4309 8931 4320 8931 4324 8932 4320 8932 4309 8932 4325 8933 4317 8933 4320 8933 4326 8934 4325 8934 4320 8934 4314 8935 4326 8935 4320 8935 4323 8936 4320 8936 4324 8936 4324 8937 4309 8937 4313 8937 4327 8938 4318 8938 4317 8938 4328 8939 4319 8939 4318 8939 4327 8940 4328 8940 4318 8940 4329 8941 4317 8941 4325 8941 4327 8942 4317 8942 4329 8942 4330 8943 4325 8943 4326 8943 4329 8944 4325 8944 4330 8944 4331 8945 4326 8945 4314 8945 4330 8946 4326 8946 4331 8946 4332 8947 4314 8947 4319 8947 4331 8948 4314 8948 4332 8948 4332 8949 4319 8949 4328 8949 4295 8950 4313 8950 4312 8950 4296 8951 4295 8951 4312 8951 4316 8952 4296 8952 4312 8952 4297 8953 4324 8953 4313 8953 4295 8954 4297 8954 4313 8954 4300 8955 4323 8955 4324 8955 4297 8956 4300 8956 4324 8956 4299 8957 4323 8957 4300 8957 4322 8958 4323 8958 4299 8958 4298 8959 4300 8959 4297 8959 4316 8960 4294 8960 4296 8960 4293 8961 4296 8961 4294 8961 4322 8962 4299 8962 4294 8962 4316 8963 4322 8963 4294 8963 4331 8964 4332 8964 4328 8964 4327 8965 4331 8965 4328 8965 4327 8966 4330 8966 4331 8966 4327 8967 4329 8967 4330 8967 4333 8968 4334 8968 4335 8968 4336 8969 4335 8969 4334 8969 4337 8970 4335 8970 4338 8970 4339 8971 4338 8971 4335 8971 4333 8972 4335 8972 4337 8972 4336 8973 4339 8973 4335 8973 4340 8974 4341 8974 4334 8974 4342 8975 4334 8975 4341 8975 4343 8976 4340 8976 4334 8976 4333 8977 4343 8977 4334 8977 4342 8978 4336 8978 4334 8978 4344 8979 4338 8979 4341 8979 4345 8980 4341 8980 4338 8980 4340 8981 4344 8981 4341 8981 4342 8982 4341 8982 4345 8982 4346 8983 4337 8983 4338 8983 4344 8984 4346 8984 4338 8984 4339 8985 4345 8985 4338 8985 4347 8986 4337 8986 4346 8986 4348 8987 4333 8987 4337 8987 4347 8988 4348 8988 4337 8988 4349 8989 4346 8989 4344 8989 4350 8990 4346 8990 4349 8990 4347 8991 4346 8991 4350 8991 4351 8992 4344 8992 4340 8992 4349 8993 4344 8993 4351 8993 4352 8994 4340 8994 4343 8994 4352 8995 4351 8995 4340 8995 4353 8996 4343 8996 4333 8996 4353 8997 4354 8997 4343 8997 4352 8998 4343 8998 4354 8998 4353 8999 4333 8999 4348 8999 4355 9000 4345 9000 4339 9000 4355 9001 4356 9001 4345 9001 4342 9002 4345 9002 4356 9002 4357 9003 4339 9003 4336 9003 4357 9004 4355 9004 4339 9004 4357 9005 4336 9005 4358 9005 4342 9006 4358 9006 4336 9006 4342 9007 4356 9007 4358 9007 4359 9008 4358 9008 4356 9008 4360 9009 4357 9009 4358 9009 4359 9010 4360 9010 4358 9010 4361 9011 4356 9011 4355 9011 4361 9012 4359 9012 4356 9012 4362 9013 4355 9013 4357 9013 4361 9014 4355 9014 4362 9014 4360 9015 4362 9015 4357 9015 4359 9016 4362 9016 4360 9016 4361 9017 4362 9017 4359 9017 4363 9018 4364 9018 4365 9018 4366 9019 4365 9019 4364 9019 4367 9020 4363 9020 4365 9020 4367 9021 4365 9021 4366 9021 4368 9022 4369 9022 4364 9022 4370 9023 4364 9023 4369 9023 4371 9024 4364 9024 4363 9024 4371 9025 4372 9025 4364 9025 4373 9026 4364 9026 4372 9026 4373 9027 4368 9027 4364 9027 4370 9028 4366 9028 4364 9028 4374 9029 4375 9029 4369 9029 4376 9030 4369 9030 4375 9030 4368 9031 4374 9031 4369 9031 4370 9032 4369 9032 4376 9032 4377 9033 4375 9033 4374 9033 4376 9034 4375 9034 4377 9034 4371 9035 4363 9035 4374 9035 4378 9036 4374 9036 4363 9036 4379 9037 4371 9037 4374 9037 4380 9038 4379 9038 4374 9038 4368 9039 4380 9039 4374 9039 4377 9040 4374 9040 4378 9040 4378 9041 4363 9041 4367 9041 4381 9042 4372 9042 4371 9042 4382 9043 4373 9043 4372 9043 4381 9044 4382 9044 4372 9044 4383 9045 4371 9045 4379 9045 4381 9046 4371 9046 4383 9046 4384 9047 4379 9047 4380 9047 4383 9048 4379 9048 4384 9048 4385 9049 4380 9049 4368 9049 4384 9050 4380 9050 4385 9050 4386 9051 4368 9051 4373 9051 4385 9052 4368 9052 4386 9052 4386 9053 4373 9053 4382 9053 4349 9054 4367 9054 4366 9054 4350 9055 4349 9055 4366 9055 4370 9056 4350 9056 4366 9056 4351 9057 4378 9057 4367 9057 4349 9058 4351 9058 4367 9058 4354 9059 4377 9059 4378 9059 4351 9060 4354 9060 4378 9060 4353 9061 4377 9061 4354 9061 4376 9062 4377 9062 4353 9062 4352 9063 4354 9063 4351 9063 4370 9064 4348 9064 4350 9064 4347 9065 4350 9065 4348 9065 4376 9066 4353 9066 4348 9066 4370 9067 4376 9067 4348 9067 4385 9068 4386 9068 4382 9068 4381 9069 4385 9069 4382 9069 4381 9070 4384 9070 4385 9070 4381 9071 4383 9071 4384 9071 4387 9072 4388 9072 4389 9072 4390 9073 4389 9073 4388 9073 4391 9074 4389 9074 4392 9074 4393 9075 4392 9075 4389 9075 4387 9076 4389 9076 4391 9076 4390 9077 4393 9077 4389 9077 4394 9078 4395 9078 4388 9078 4396 9079 4388 9079 4395 9079 4397 9080 4394 9080 4388 9080 4387 9081 4397 9081 4388 9081 4396 9082 4390 9082 4388 9082 4398 9083 4392 9083 4395 9083 4399 9084 4395 9084 4392 9084 4394 9085 4398 9085 4395 9085 4396 9086 4395 9086 4399 9086 4400 9087 4391 9087 4392 9087 4398 9088 4400 9088 4392 9088 4393 9089 4399 9089 4392 9089 4401 9090 4391 9090 4400 9090 4402 9091 4387 9091 4391 9091 4401 9092 4402 9092 4391 9092 4403 9093 4400 9093 4398 9093 4404 9094 4400 9094 4403 9094 4401 9095 4400 9095 4404 9095 4405 9096 4398 9096 4394 9096 4403 9097 4398 9097 4405 9097 4406 9098 4394 9098 4397 9098 4406 9099 4405 9099 4394 9099 4407 9100 4397 9100 4387 9100 4407 9101 4408 9101 4397 9101 4406 9102 4397 9102 4408 9102 4407 9103 4387 9103 4402 9103 4409 9104 4399 9104 4393 9104 4409 9105 4410 9105 4399 9105 4396 9106 4399 9106 4410 9106 4411 9107 4393 9107 4390 9107 4411 9108 4409 9108 4393 9108 4411 9109 4390 9109 4412 9109 4396 9110 4412 9110 4390 9110 4396 9111 4410 9111 4412 9111 4413 9112 4412 9112 4410 9112 4414 9113 4411 9113 4412 9113 4413 9114 4414 9114 4412 9114 4415 9115 4410 9115 4409 9115 4415 9116 4413 9116 4410 9116 4416 9117 4409 9117 4411 9117 4415 9118 4409 9118 4416 9118 4414 9119 4416 9119 4411 9119 4413 9120 4416 9120 4414 9120 4415 9121 4416 9121 4413 9121 4417 9122 4418 9122 4419 9122 4420 9123 4419 9123 4418 9123 4421 9124 4417 9124 4419 9124 4421 9125 4419 9125 4420 9125 4422 9126 4423 9126 4418 9126 4424 9127 4418 9127 4423 9127 4425 9128 4418 9128 4417 9128 4425 9129 4426 9129 4418 9129 4427 9130 4418 9130 4426 9130 4427 9131 4422 9131 4418 9131 4424 9132 4420 9132 4418 9132 4428 9133 4429 9133 4423 9133 4430 9134 4423 9134 4429 9134 4422 9135 4428 9135 4423 9135 4424 9136 4423 9136 4430 9136 4431 9137 4429 9137 4428 9137 4430 9138 4429 9138 4431 9138 4425 9139 4417 9139 4428 9139 4432 9140 4428 9140 4417 9140 4433 9141 4425 9141 4428 9141 4434 9142 4433 9142 4428 9142 4422 9143 4434 9143 4428 9143 4431 9144 4428 9144 4432 9144 4432 9145 4417 9145 4421 9145 4435 9146 4426 9146 4425 9146 4436 9147 4427 9147 4426 9147 4435 9148 4436 9148 4426 9148 4437 9149 4425 9149 4433 9149 4435 9150 4425 9150 4437 9150 4438 9151 4433 9151 4434 9151 4437 9152 4433 9152 4438 9152 4439 9153 4434 9153 4422 9153 4438 9154 4434 9154 4439 9154 4440 9155 4422 9155 4427 9155 4439 9156 4422 9156 4440 9156 4440 9157 4427 9157 4436 9157 4403 9158 4421 9158 4420 9158 4404 9159 4403 9159 4420 9159 4424 9160 4404 9160 4420 9160 4405 9161 4432 9161 4421 9161 4403 9162 4405 9162 4421 9162 4408 9163 4431 9163 4432 9163 4405 9164 4408 9164 4432 9164 4407 9165 4431 9165 4408 9165 4430 9166 4431 9166 4407 9166 4406 9167 4408 9167 4405 9167 4424 9168 4402 9168 4404 9168 4401 9169 4404 9169 4402 9169 4430 9170 4407 9170 4402 9170 4424 9171 4430 9171 4402 9171 4439 9172 4440 9172 4436 9172 4435 9173 4439 9173 4436 9173 4435 9174 4438 9174 4439 9174 4435 9175 4437 9175 4438 9175 4441 9176 4442 9176 4443 9176 4444 9177 4443 9177 4442 9177 4445 9178 4443 9178 4446 9178 4447 9179 4446 9179 4443 9179 4441 9180 4443 9180 4445 9180 4444 9181 4447 9181 4443 9181 4448 9182 4449 9182 4442 9182 4450 9183 4442 9183 4449 9183 4451 9184 4448 9184 4442 9184 4441 9185 4451 9185 4442 9185 4450 9186 4444 9186 4442 9186 4452 9187 4446 9187 4449 9187 4453 9188 4449 9188 4446 9188 4448 9189 4452 9189 4449 9189 4450 9190 4449 9190 4453 9190 4454 9191 4445 9191 4446 9191 4452 9192 4454 9192 4446 9192 4447 9193 4453 9193 4446 9193 4455 9194 4445 9194 4454 9194 4456 9195 4441 9195 4445 9195 4455 9196 4456 9196 4445 9196 4457 9197 4454 9197 4452 9197 4458 9198 4454 9198 4457 9198 4455 9199 4454 9199 4458 9199 4459 9200 4452 9200 4448 9200 4457 9201 4452 9201 4459 9201 4460 9202 4448 9202 4451 9202 4460 9203 4459 9203 4448 9203 4461 9204 4451 9204 4441 9204 4461 9205 4462 9205 4451 9205 4460 9206 4451 9206 4462 9206 4461 9207 4441 9207 4456 9207 4463 9208 4453 9208 4447 9208 4463 9209 4464 9209 4453 9209 4450 9210 4453 9210 4464 9210 4465 9211 4447 9211 4444 9211 4465 9212 4463 9212 4447 9212 4465 9213 4444 9213 4466 9213 4450 9214 4466 9214 4444 9214 4450 9215 4464 9215 4466 9215 4467 9216 4466 9216 4464 9216 4468 9217 4465 9217 4466 9217 4467 9218 4468 9218 4466 9218 4469 9219 4464 9219 4463 9219 4469 9220 4467 9220 4464 9220 4470 9221 4463 9221 4465 9221 4469 9222 4463 9222 4470 9222 4468 9223 4470 9223 4465 9223 4467 9224 4470 9224 4468 9224 4469 9225 4470 9225 4467 9225 4471 9226 4472 9226 4473 9226 4474 9227 4473 9227 4472 9227 4475 9228 4471 9228 4473 9228 4475 9229 4473 9229 4474 9229 4476 9230 4477 9230 4472 9230 4478 9231 4472 9231 4477 9231 4479 9232 4472 9232 4471 9232 4479 9233 4480 9233 4472 9233 4481 9234 4472 9234 4480 9234 4481 9235 4476 9235 4472 9235 4478 9236 4474 9236 4472 9236 4482 9237 4483 9237 4477 9237 4484 9238 4477 9238 4483 9238 4476 9239 4482 9239 4477 9239 4478 9240 4477 9240 4484 9240 4485 9241 4483 9241 4482 9241 4484 9242 4483 9242 4485 9242 4479 9243 4471 9243 4482 9243 4486 9244 4482 9244 4471 9244 4487 9245 4479 9245 4482 9245 4488 9246 4487 9246 4482 9246 4476 9247 4488 9247 4482 9247 4485 9248 4482 9248 4486 9248 4486 9249 4471 9249 4475 9249 4489 9250 4480 9250 4479 9250 4490 9251 4481 9251 4480 9251 4489 9252 4490 9252 4480 9252 4491 9253 4479 9253 4487 9253 4489 9254 4479 9254 4491 9254 4492 9255 4487 9255 4488 9255 4491 9256 4487 9256 4492 9256 4493 9257 4488 9257 4476 9257 4492 9258 4488 9258 4493 9258 4494 9259 4476 9259 4481 9259 4493 9260 4476 9260 4494 9260 4494 9261 4481 9261 4490 9261 4457 9262 4475 9262 4474 9262 4458 9263 4457 9263 4474 9263 4478 9264 4458 9264 4474 9264 4459 9265 4486 9265 4475 9265 4457 9266 4459 9266 4475 9266 4462 9267 4485 9267 4486 9267 4459 9268 4462 9268 4486 9268 4461 9269 4485 9269 4462 9269 4484 9270 4485 9270 4461 9270 4460 9271 4462 9271 4459 9271 4478 9272 4456 9272 4458 9272 4455 9273 4458 9273 4456 9273 4484 9274 4461 9274 4456 9274 4478 9275 4484 9275 4456 9275 4493 9276 4494 9276 4490 9276 4489 9277 4493 9277 4490 9277 4489 9278 4492 9278 4493 9278 4489 9279 4491 9279 4492 9279 4495 9280 4496 9280 4497 9280 4498 9281 4497 9281 4496 9281 4499 9282 4497 9282 4500 9282 4501 9283 4500 9283 4497 9283 4495 9284 4497 9284 4499 9284 4498 9285 4501 9285 4497 9285 4495 9286 4502 9286 4496 9286 4503 9287 4496 9287 4502 9287 4503 9288 4498 9288 4496 9288 4495 9289 4504 9289 4502 9289 4505 9290 4502 9290 4504 9290 4503 9291 4502 9291 4505 9291 4506 9292 4507 9292 4504 9292 4508 9293 4504 9293 4507 9293 4509 9294 4506 9294 4504 9294 4495 9295 4509 9295 4504 9295 4505 9296 4504 9296 4508 9296 4510 9297 4511 9297 4507 9297 4512 9298 4507 9298 4511 9298 4506 9299 4510 9299 4507 9299 4508 9300 4507 9300 4512 9300 4510 9301 4513 9301 4511 9301 4514 9302 4511 9302 4513 9302 4514 9303 4512 9303 4511 9303 4510 9304 4500 9304 4513 9304 4515 9305 4513 9305 4500 9305 4515 9306 4514 9306 4513 9306 4516 9307 4499 9307 4500 9307 4510 9308 4516 9308 4500 9308 4501 9309 4515 9309 4500 9309 4517 9310 4499 9310 4516 9310 4518 9311 4495 9311 4499 9311 4517 9312 4518 9312 4499 9312 4519 9313 4516 9313 4510 9313 4520 9314 4516 9314 4519 9314 4517 9315 4516 9315 4520 9315 4521 9316 4510 9316 4506 9316 4519 9317 4510 9317 4521 9317 4522 9318 4506 9318 4509 9318 4522 9319 4521 9319 4506 9319 4523 9320 4509 9320 4495 9320 4523 9321 4524 9321 4509 9321 4522 9322 4509 9322 4524 9322 4523 9323 4495 9323 4518 9323 4525 9324 4512 9324 4514 9324 4525 9325 4526 9325 4512 9325 4508 9326 4512 9326 4526 9326 4527 9327 4514 9327 4515 9327 4527 9328 4525 9328 4514 9328 4527 9329 4515 9329 4501 9329 4527 9330 4501 9330 4498 9330 4527 9331 4498 9331 4528 9331 4503 9332 4528 9332 4498 9332 4503 9333 4526 9333 4528 9333 4529 9334 4528 9334 4526 9334 4530 9335 4527 9335 4528 9335 4529 9336 4530 9336 4528 9336 4531 9337 4526 9337 4525 9337 4505 9338 4508 9338 4526 9338 4503 9339 4505 9339 4526 9339 4531 9340 4529 9340 4526 9340 4532 9341 4525 9341 4527 9341 4531 9342 4525 9342 4532 9342 4530 9343 4532 9343 4527 9343 4529 9344 4532 9344 4530 9344 4531 9345 4532 9345 4529 9345 4533 9346 4534 9346 4535 9346 4536 9347 4535 9347 4534 9347 4537 9348 4535 9348 4538 9348 4539 9349 4538 9349 4535 9349 4537 9350 4533 9350 4535 9350 4539 9351 4535 9351 4536 9351 4540 9352 4541 9352 4534 9352 4542 9353 4534 9353 4541 9353 4540 9354 4534 9354 4533 9354 4542 9355 4536 9355 4534 9355 4543 9356 4544 9356 4541 9356 4545 9357 4541 9357 4544 9357 4540 9358 4543 9358 4541 9358 4542 9359 4541 9359 4545 9359 4546 9360 4547 9360 4544 9360 4548 9361 4544 9361 4547 9361 4543 9362 4546 9362 4544 9362 4545 9363 4544 9363 4548 9363 4549 9364 4538 9364 4547 9364 4550 9365 4547 9365 4538 9365 4546 9366 4549 9366 4547 9366 4548 9367 4547 9367 4550 9367 4549 9368 4537 9368 4538 9368 4550 9369 4538 9369 4539 9369 4551 9370 4533 9370 4537 9370 4552 9371 4540 9371 4533 9371 4551 9372 4552 9372 4533 9372 4553 9373 4537 9373 4549 9373 4551 9374 4537 9374 4553 9374 4554 9375 4549 9375 4546 9375 4553 9376 4549 9376 4554 9376 4555 9377 4546 9377 4543 9377 4554 9378 4546 9378 4555 9378 4556 9379 4543 9379 4540 9379 4555 9380 4543 9380 4556 9380 4556 9381 4540 9381 4552 9381 4519 9382 4539 9382 4536 9382 4520 9383 4519 9383 4536 9383 4542 9384 4520 9384 4536 9384 4521 9385 4550 9385 4539 9385 4519 9386 4521 9386 4539 9386 4524 9387 4548 9387 4550 9387 4521 9388 4524 9388 4550 9388 4523 9389 4548 9389 4524 9389 4545 9390 4548 9390 4523 9390 4522 9391 4524 9391 4521 9391 4542 9392 4518 9392 4520 9392 4517 9393 4520 9393 4518 9393 4545 9394 4523 9394 4518 9394 4542 9395 4545 9395 4518 9395 4555 9396 4556 9396 4552 9396 4551 9397 4555 9397 4552 9397 4551 9398 4554 9398 4555 9398 4551 9399 4553 9399 4554 9399 4557 9400 4558 9400 4559 9400 4560 9401 4559 9401 4558 9401 4561 9402 4559 9402 4562 9402 4563 9403 4562 9403 4559 9403 4557 9404 4559 9404 4561 9404 4560 9405 4563 9405 4559 9405 4557 9406 4564 9406 4558 9406 4565 9407 4558 9407 4564 9407 4565 9408 4560 9408 4558 9408 4557 9409 4566 9409 4564 9409 4567 9410 4564 9410 4566 9410 4565 9411 4564 9411 4567 9411 4568 9412 4569 9412 4566 9412 4570 9413 4566 9413 4569 9413 4571 9414 4568 9414 4566 9414 4557 9415 4571 9415 4566 9415 4567 9416 4566 9416 4570 9416 4572 9417 4573 9417 4569 9417 4574 9418 4569 9418 4573 9418 4568 9419 4572 9419 4569 9419 4570 9420 4569 9420 4574 9420 4572 9421 4575 9421 4573 9421 4576 9422 4573 9422 4575 9422 4576 9423 4574 9423 4573 9423 4572 9424 4562 9424 4575 9424 4577 9425 4575 9425 4562 9425 4577 9426 4576 9426 4575 9426 4578 9427 4561 9427 4562 9427 4572 9428 4578 9428 4562 9428 4563 9429 4577 9429 4562 9429 4579 9430 4561 9430 4578 9430 4580 9431 4557 9431 4561 9431 4579 9432 4580 9432 4561 9432 4581 9433 4578 9433 4572 9433 4582 9434 4578 9434 4581 9434 4579 9435 4578 9435 4582 9435 4583 9436 4572 9436 4568 9436 4581 9437 4572 9437 4583 9437 4584 9438 4568 9438 4571 9438 4584 9439 4583 9439 4568 9439 4585 9440 4571 9440 4557 9440 4585 9441 4586 9441 4571 9441 4584 9442 4571 9442 4586 9442 4585 9443 4557 9443 4580 9443 4587 9444 4574 9444 4576 9444 4587 9445 4588 9445 4574 9445 4570 9446 4574 9446 4588 9446 4589 9447 4576 9447 4577 9447 4589 9448 4587 9448 4576 9448 4589 9449 4577 9449 4563 9449 4589 9450 4563 9450 4560 9450 4589 9451 4560 9451 4590 9451 4565 9452 4590 9452 4560 9452 4565 9453 4588 9453 4590 9453 4591 9454 4590 9454 4588 9454 4592 9455 4589 9455 4590 9455 4591 9456 4592 9456 4590 9456 4593 9457 4588 9457 4587 9457 4567 9458 4570 9458 4588 9458 4565 9459 4567 9459 4588 9459 4593 9460 4591 9460 4588 9460 4594 9461 4587 9461 4589 9461 4593 9462 4587 9462 4594 9462 4592 9463 4594 9463 4589 9463 4591 9464 4594 9464 4592 9464 4593 9465 4594 9465 4591 9465 4595 9466 4596 9466 4597 9466 4598 9467 4597 9467 4596 9467 4599 9468 4597 9468 4600 9468 4601 9469 4600 9469 4597 9469 4599 9470 4595 9470 4597 9470 4601 9471 4597 9471 4598 9471 4602 9472 4603 9472 4596 9472 4604 9473 4596 9473 4603 9473 4602 9474 4596 9474 4595 9474 4604 9475 4598 9475 4596 9475 4605 9476 4606 9476 4603 9476 4607 9477 4603 9477 4606 9477 4602 9478 4605 9478 4603 9478 4604 9479 4603 9479 4607 9479 4608 9480 4609 9480 4606 9480 4610 9481 4606 9481 4609 9481 4605 9482 4608 9482 4606 9482 4607 9483 4606 9483 4610 9483 4611 9484 4600 9484 4609 9484 4612 9485 4609 9485 4600 9485 4608 9486 4611 9486 4609 9486 4610 9487 4609 9487 4612 9487 4611 9488 4599 9488 4600 9488 4612 9489 4600 9489 4601 9489 4613 9490 4595 9490 4599 9490 4614 9491 4602 9491 4595 9491 4613 9492 4614 9492 4595 9492 4615 9493 4599 9493 4611 9493 4613 9494 4599 9494 4615 9494 4616 9495 4611 9495 4608 9495 4615 9496 4611 9496 4616 9496 4617 9497 4608 9497 4605 9497 4616 9498 4608 9498 4617 9498 4618 9499 4605 9499 4602 9499 4617 9500 4605 9500 4618 9500 4618 9501 4602 9501 4614 9501 4581 9502 4601 9502 4598 9502 4582 9503 4581 9503 4598 9503 4604 9504 4582 9504 4598 9504 4583 9505 4612 9505 4601 9505 4581 9506 4583 9506 4601 9506 4586 9507 4610 9507 4612 9507 4583 9508 4586 9508 4612 9508 4585 9509 4610 9509 4586 9509 4607 9510 4610 9510 4585 9510 4584 9511 4586 9511 4583 9511 4604 9512 4580 9512 4582 9512 4579 9513 4582 9513 4580 9513 4607 9514 4585 9514 4580 9514 4604 9515 4607 9515 4580 9515 4617 9516 4618 9516 4614 9516 4613 9517 4617 9517 4614 9517 4613 9518 4616 9518 4617 9518 4613 9519 4615 9519 4616 9519 4619 9520 4620 9520 4621 9520 4622 9521 4621 9521 4620 9521 4623 9522 4621 9522 4624 9522 4625 9523 4624 9523 4621 9523 4619 9524 4621 9524 4623 9524 4622 9525 4625 9525 4621 9525 4619 9526 4626 9526 4620 9526 4627 9527 4620 9527 4626 9527 4627 9528 4622 9528 4620 9528 4619 9529 4628 9529 4626 9529 4629 9530 4626 9530 4628 9530 4627 9531 4626 9531 4629 9531 4630 9532 4631 9532 4628 9532 4632 9533 4628 9533 4631 9533 4633 9534 4630 9534 4628 9534 4619 9535 4633 9535 4628 9535 4629 9536 4628 9536 4632 9536 4634 9537 4635 9537 4631 9537 4636 9538 4631 9538 4635 9538 4630 9539 4634 9539 4631 9539 4632 9540 4631 9540 4636 9540 4634 9541 4637 9541 4635 9541 4638 9542 4635 9542 4637 9542 4638 9543 4636 9543 4635 9543 4634 9544 4624 9544 4637 9544 4639 9545 4637 9545 4624 9545 4639 9546 4638 9546 4637 9546 4640 9547 4623 9547 4624 9547 4634 9548 4640 9548 4624 9548 4625 9549 4639 9549 4624 9549 4641 9550 4623 9550 4640 9550 4642 9551 4619 9551 4623 9551 4641 9552 4642 9552 4623 9552 4643 9553 4640 9553 4634 9553 4644 9554 4640 9554 4643 9554 4641 9555 4640 9555 4644 9555 4645 9556 4634 9556 4630 9556 4643 9557 4634 9557 4645 9557 4646 9558 4630 9558 4633 9558 4646 9559 4645 9559 4630 9559 4647 9560 4633 9560 4619 9560 4647 9561 4648 9561 4633 9561 4646 9562 4633 9562 4648 9562 4647 9563 4619 9563 4642 9563 4649 9564 4636 9564 4638 9564 4649 9565 4650 9565 4636 9565 4632 9566 4636 9566 4650 9566 4651 9567 4638 9567 4639 9567 4651 9568 4649 9568 4638 9568 4651 9569 4639 9569 4625 9569 4651 9570 4625 9570 4622 9570 4651 9571 4622 9571 4652 9571 4627 9572 4652 9572 4622 9572 4627 9573 4650 9573 4652 9573 4653 9574 4652 9574 4650 9574 4654 9575 4651 9575 4652 9575 4653 9576 4654 9576 4652 9576 4655 9577 4650 9577 4649 9577 4629 9578 4632 9578 4650 9578 4627 9579 4629 9579 4650 9579 4655 9580 4653 9580 4650 9580 4656 9581 4649 9581 4651 9581 4655 9582 4649 9582 4656 9582 4654 9583 4656 9583 4651 9583 4653 9584 4656 9584 4654 9584 4655 9585 4656 9585 4653 9585 4657 9586 4658 9586 4659 9586 4660 9587 4659 9587 4658 9587 4661 9588 4659 9588 4662 9588 4663 9589 4662 9589 4659 9589 4661 9590 4657 9590 4659 9590 4663 9591 4659 9591 4660 9591 4664 9592 4665 9592 4658 9592 4666 9593 4658 9593 4665 9593 4664 9594 4658 9594 4657 9594 4666 9595 4660 9595 4658 9595 4667 9596 4668 9596 4665 9596 4669 9597 4665 9597 4668 9597 4664 9598 4667 9598 4665 9598 4666 9599 4665 9599 4669 9599 4670 9600 4671 9600 4668 9600 4672 9601 4668 9601 4671 9601 4667 9602 4670 9602 4668 9602 4669 9603 4668 9603 4672 9603 4673 9604 4662 9604 4671 9604 4674 9605 4671 9605 4662 9605 4670 9606 4673 9606 4671 9606 4672 9607 4671 9607 4674 9607 4673 9608 4661 9608 4662 9608 4674 9609 4662 9609 4663 9609 4675 9610 4657 9610 4661 9610 4676 9611 4664 9611 4657 9611 4675 9612 4676 9612 4657 9612 4677 9613 4661 9613 4673 9613 4675 9614 4661 9614 4677 9614 4678 9615 4673 9615 4670 9615 4677 9616 4673 9616 4678 9616 4679 9617 4670 9617 4667 9617 4678 9618 4670 9618 4679 9618 4680 9619 4667 9619 4664 9619 4679 9620 4667 9620 4680 9620 4680 9621 4664 9621 4676 9621 4643 9622 4663 9622 4660 9622 4644 9623 4643 9623 4660 9623 4666 9624 4644 9624 4660 9624 4645 9625 4674 9625 4663 9625 4643 9626 4645 9626 4663 9626 4648 9627 4672 9627 4674 9627 4645 9628 4648 9628 4674 9628 4647 9629 4672 9629 4648 9629 4669 9630 4672 9630 4647 9630 4646 9631 4648 9631 4645 9631 4666 9632 4642 9632 4644 9632 4641 9633 4644 9633 4642 9633 4669 9634 4647 9634 4642 9634 4666 9635 4669 9635 4642 9635 4679 9636 4680 9636 4676 9636 4675 9637 4679 9637 4676 9637 4675 9638 4678 9638 4679 9638 4675 9639 4677 9639 4678 9639 4681 9640 4682 9640 4683 9640 4684 9641 4683 9641 4682 9641 4685 9642 4683 9642 4686 9642 4687 9643 4686 9643 4683 9643 4681 9644 4683 9644 4685 9644 4684 9645 4687 9645 4683 9645 4681 9646 4688 9646 4682 9646 4689 9647 4682 9647 4688 9647 4689 9648 4684 9648 4682 9648 4681 9649 4690 9649 4688 9649 4691 9650 4688 9650 4690 9650 4689 9651 4688 9651 4691 9651 4692 9652 4693 9652 4690 9652 4694 9653 4690 9653 4693 9653 4695 9654 4692 9654 4690 9654 4681 9655 4695 9655 4690 9655 4691 9656 4690 9656 4694 9656 4696 9657 4697 9657 4693 9657 4698 9658 4693 9658 4697 9658 4692 9659 4696 9659 4693 9659 4694 9660 4693 9660 4698 9660 4696 9661 4699 9661 4697 9661 4700 9662 4697 9662 4699 9662 4700 9663 4698 9663 4697 9663 4696 9664 4686 9664 4699 9664 4701 9665 4699 9665 4686 9665 4701 9666 4700 9666 4699 9666 4702 9667 4685 9667 4686 9667 4696 9668 4702 9668 4686 9668 4687 9669 4701 9669 4686 9669 4703 9670 4685 9670 4702 9670 4704 9671 4681 9671 4685 9671 4703 9672 4704 9672 4685 9672 4705 9673 4702 9673 4696 9673 4706 9674 4702 9674 4705 9674 4703 9675 4702 9675 4706 9675 4707 9676 4696 9676 4692 9676 4705 9677 4696 9677 4707 9677 4708 9678 4692 9678 4695 9678 4708 9679 4707 9679 4692 9679 4709 9680 4695 9680 4681 9680 4709 9681 4710 9681 4695 9681 4708 9682 4695 9682 4710 9682 4709 9683 4681 9683 4704 9683 4711 9684 4698 9684 4700 9684 4711 9685 4712 9685 4698 9685 4694 9686 4698 9686 4712 9686 4713 9687 4700 9687 4701 9687 4713 9688 4711 9688 4700 9688 4713 9689 4701 9689 4687 9689 4713 9690 4687 9690 4684 9690 4713 9691 4684 9691 4714 9691 4689 9692 4714 9692 4684 9692 4689 9693 4712 9693 4714 9693 4715 9694 4714 9694 4712 9694 4716 9695 4713 9695 4714 9695 4715 9696 4716 9696 4714 9696 4717 9697 4712 9697 4711 9697 4691 9698 4694 9698 4712 9698 4689 9699 4691 9699 4712 9699 4717 9700 4715 9700 4712 9700 4718 9701 4711 9701 4713 9701 4717 9702 4711 9702 4718 9702 4716 9703 4718 9703 4713 9703 4715 9704 4718 9704 4716 9704 4717 9705 4718 9705 4715 9705 4719 9706 4720 9706 4721 9706 4722 9707 4721 9707 4720 9707 4723 9708 4721 9708 4724 9708 4725 9709 4724 9709 4721 9709 4723 9710 4719 9710 4721 9710 4725 9711 4721 9711 4722 9711 4726 9712 4727 9712 4720 9712 4728 9713 4720 9713 4727 9713 4726 9714 4720 9714 4719 9714 4728 9715 4722 9715 4720 9715 4729 9716 4730 9716 4727 9716 4731 9717 4727 9717 4730 9717 4726 9718 4729 9718 4727 9718 4728 9719 4727 9719 4731 9719 4732 9720 4733 9720 4730 9720 4734 9721 4730 9721 4733 9721 4729 9722 4732 9722 4730 9722 4731 9723 4730 9723 4734 9723 4735 9724 4724 9724 4733 9724 4736 9725 4733 9725 4724 9725 4732 9726 4735 9726 4733 9726 4734 9727 4733 9727 4736 9727 4735 9728 4723 9728 4724 9728 4736 9729 4724 9729 4725 9729 4737 9730 4719 9730 4723 9730 4738 9731 4726 9731 4719 9731 4737 9732 4738 9732 4719 9732 4739 9733 4723 9733 4735 9733 4737 9734 4723 9734 4739 9734 4740 9735 4735 9735 4732 9735 4739 9736 4735 9736 4740 9736 4741 9737 4732 9737 4729 9737 4740 9738 4732 9738 4741 9738 4742 9739 4729 9739 4726 9739 4741 9740 4729 9740 4742 9740 4742 9741 4726 9741 4738 9741 4705 9742 4725 9742 4722 9742 4706 9743 4705 9743 4722 9743 4728 9744 4706 9744 4722 9744 4707 9745 4736 9745 4725 9745 4705 9746 4707 9746 4725 9746 4710 9747 4734 9747 4736 9747 4707 9748 4710 9748 4736 9748 4709 9749 4734 9749 4710 9749 4731 9750 4734 9750 4709 9750 4708 9751 4710 9751 4707 9751 4728 9752 4704 9752 4706 9752 4703 9753 4706 9753 4704 9753 4731 9754 4709 9754 4704 9754 4728 9755 4731 9755 4704 9755 4741 9756 4742 9756 4738 9756 4737 9757 4741 9757 4738 9757 4737 9758 4740 9758 4741 9758 4737 9759 4739 9759 4740 9759 4743 9760 4744 9760 4745 9760 4746 9761 4745 9761 4744 9761 4747 9762 4745 9762 4748 9762 4749 9763 4748 9763 4745 9763 4743 9764 4745 9764 4747 9764 4746 9765 4749 9765 4745 9765 4743 9766 4750 9766 4744 9766 4751 9767 4744 9767 4750 9767 4751 9768 4746 9768 4744 9768 4743 9769 4752 9769 4750 9769 4753 9770 4750 9770 4752 9770 4751 9771 4750 9771 4753 9771 4754 9772 4755 9772 4752 9772 4756 9773 4752 9773 4755 9773 4757 9774 4754 9774 4752 9774 4743 9775 4757 9775 4752 9775 4753 9776 4752 9776 4756 9776 4758 9777 4759 9777 4755 9777 4760 9778 4755 9778 4759 9778 4754 9779 4758 9779 4755 9779 4756 9780 4755 9780 4760 9780 4758 9781 4761 9781 4759 9781 4762 9782 4759 9782 4761 9782 4762 9783 4760 9783 4759 9783 4758 9784 4748 9784 4761 9784 4763 9785 4761 9785 4748 9785 4763 9786 4762 9786 4761 9786 4764 9787 4747 9787 4748 9787 4758 9788 4764 9788 4748 9788 4749 9789 4763 9789 4748 9789 4765 9790 4747 9790 4764 9790 4766 9791 4743 9791 4747 9791 4765 9792 4766 9792 4747 9792 4767 9793 4764 9793 4758 9793 4768 9794 4764 9794 4767 9794 4765 9795 4764 9795 4768 9795 4769 9796 4758 9796 4754 9796 4767 9797 4758 9797 4769 9797 4770 9798 4754 9798 4757 9798 4770 9799 4769 9799 4754 9799 4771 9800 4757 9800 4743 9800 4771 9801 4772 9801 4757 9801 4770 9802 4757 9802 4772 9802 4771 9803 4743 9803 4766 9803 4773 9804 4760 9804 4762 9804 4773 9805 4774 9805 4760 9805 4756 9806 4760 9806 4774 9806 4775 9807 4762 9807 4763 9807 4775 9808 4773 9808 4762 9808 4775 9809 4763 9809 4749 9809 4775 9810 4749 9810 4746 9810 4775 9811 4746 9811 4776 9811 4751 9812 4776 9812 4746 9812 4751 9813 4774 9813 4776 9813 4777 9814 4776 9814 4774 9814 4778 9815 4775 9815 4776 9815 4777 9816 4778 9816 4776 9816 4779 9817 4774 9817 4773 9817 4753 9818 4756 9818 4774 9818 4751 9819 4753 9819 4774 9819 4779 9820 4777 9820 4774 9820 4780 9821 4773 9821 4775 9821 4779 9822 4773 9822 4780 9822 4778 9823 4780 9823 4775 9823 4777 9824 4780 9824 4778 9824 4779 9825 4780 9825 4777 9825 4781 9826 4782 9826 4783 9826 4784 9827 4783 9827 4782 9827 4785 9828 4783 9828 4786 9828 4787 9829 4786 9829 4783 9829 4785 9830 4781 9830 4783 9830 4787 9831 4783 9831 4784 9831 4788 9832 4789 9832 4782 9832 4790 9833 4782 9833 4789 9833 4788 9834 4782 9834 4781 9834 4790 9835 4784 9835 4782 9835 4791 9836 4792 9836 4789 9836 4793 9837 4789 9837 4792 9837 4788 9838 4791 9838 4789 9838 4790 9839 4789 9839 4793 9839 4794 9840 4795 9840 4792 9840 4796 9841 4792 9841 4795 9841 4791 9842 4794 9842 4792 9842 4793 9843 4792 9843 4796 9843 4797 9844 4786 9844 4795 9844 4798 9845 4795 9845 4786 9845 4794 9846 4797 9846 4795 9846 4796 9847 4795 9847 4798 9847 4797 9848 4785 9848 4786 9848 4798 9849 4786 9849 4787 9849 4799 9850 4781 9850 4785 9850 4800 9851 4788 9851 4781 9851 4799 9852 4800 9852 4781 9852 4801 9853 4785 9853 4797 9853 4799 9854 4785 9854 4801 9854 4802 9855 4797 9855 4794 9855 4801 9856 4797 9856 4802 9856 4803 9857 4794 9857 4791 9857 4802 9858 4794 9858 4803 9858 4804 9859 4791 9859 4788 9859 4803 9860 4791 9860 4804 9860 4804 9861 4788 9861 4800 9861 4767 9862 4787 9862 4784 9862 4768 9863 4767 9863 4784 9863 4790 9864 4768 9864 4784 9864 4769 9865 4798 9865 4787 9865 4767 9866 4769 9866 4787 9866 4772 9867 4796 9867 4798 9867 4769 9868 4772 9868 4798 9868 4771 9869 4796 9869 4772 9869 4793 9870 4796 9870 4771 9870 4770 9871 4772 9871 4769 9871 4790 9872 4766 9872 4768 9872 4765 9873 4768 9873 4766 9873 4793 9874 4771 9874 4766 9874 4790 9875 4793 9875 4766 9875 4803 9876 4804 9876 4800 9876 4799 9877 4803 9877 4800 9877 4799 9878 4802 9878 4803 9878 4799 9879 4801 9879 4802 9879 4805 9880 4806 9880 4807 9880 4808 9881 4807 9881 4806 9881 4809 9882 4807 9882 4810 9882 4811 9883 4810 9883 4807 9883 4805 9884 4807 9884 4809 9884 4808 9885 4811 9885 4807 9885 4805 9886 4812 9886 4806 9886 4813 9887 4806 9887 4812 9887 4813 9888 4808 9888 4806 9888 4805 9889 4814 9889 4812 9889 4815 9890 4812 9890 4814 9890 4813 9891 4812 9891 4815 9891 4816 9892 4817 9892 4814 9892 4818 9893 4814 9893 4817 9893 4819 9894 4816 9894 4814 9894 4805 9895 4819 9895 4814 9895 4815 9896 4814 9896 4818 9896 4820 9897 4821 9897 4817 9897 4822 9898 4817 9898 4821 9898 4816 9899 4820 9899 4817 9899 4818 9900 4817 9900 4822 9900 4820 9901 4823 9901 4821 9901 4824 9902 4821 9902 4823 9902 4824 9903 4822 9903 4821 9903 4820 9904 4810 9904 4823 9904 4825 9905 4823 9905 4810 9905 4825 9906 4824 9906 4823 9906 4826 9907 4809 9907 4810 9907 4820 9908 4826 9908 4810 9908 4811 9909 4825 9909 4810 9909 4827 9910 4809 9910 4826 9910 4828 9911 4805 9911 4809 9911 4827 9912 4828 9912 4809 9912 4829 9913 4826 9913 4820 9913 4830 9914 4826 9914 4829 9914 4827 9915 4826 9915 4830 9915 4831 9916 4820 9916 4816 9916 4829 9917 4820 9917 4831 9917 4832 9918 4816 9918 4819 9918 4832 9919 4831 9919 4816 9919 4833 9920 4819 9920 4805 9920 4833 9921 4834 9921 4819 9921 4832 9922 4819 9922 4834 9922 4833 9923 4805 9923 4828 9923 4835 9924 4822 9924 4824 9924 4835 9925 4836 9925 4822 9925 4818 9926 4822 9926 4836 9926 4837 9927 4824 9927 4825 9927 4837 9928 4835 9928 4824 9928 4837 9929 4825 9929 4811 9929 4837 9930 4811 9930 4808 9930 4837 9931 4808 9931 4838 9931 4813 9932 4838 9932 4808 9932 4813 9933 4836 9933 4838 9933 4839 9934 4838 9934 4836 9934 4840 9935 4837 9935 4838 9935 4839 9936 4840 9936 4838 9936 4841 9937 4836 9937 4835 9937 4815 9938 4818 9938 4836 9938 4813 9939 4815 9939 4836 9939 4841 9940 4839 9940 4836 9940 4842 9941 4835 9941 4837 9941 4841 9942 4835 9942 4842 9942 4840 9943 4842 9943 4837 9943 4839 9944 4842 9944 4840 9944 4841 9945 4842 9945 4839 9945 4843 9946 4844 9946 4845 9946 4846 9947 4845 9947 4844 9947 4847 9948 4845 9948 4848 9948 4849 9949 4848 9949 4845 9949 4847 9950 4843 9950 4845 9950 4849 9951 4845 9951 4846 9951 4850 9952 4851 9952 4844 9952 4852 9953 4844 9953 4851 9953 4850 9954 4844 9954 4843 9954 4852 9955 4846 9955 4844 9955 4853 9956 4854 9956 4851 9956 4855 9957 4851 9957 4854 9957 4850 9958 4853 9958 4851 9958 4852 9959 4851 9959 4855 9959 4856 9960 4857 9960 4854 9960 4858 9961 4854 9961 4857 9961 4853 9962 4856 9962 4854 9962 4855 9963 4854 9963 4858 9963 4859 9964 4848 9964 4857 9964 4860 9965 4857 9965 4848 9965 4856 9966 4859 9966 4857 9966 4858 9967 4857 9967 4860 9967 4859 9968 4847 9968 4848 9968 4860 9969 4848 9969 4849 9969 4861 9970 4843 9970 4847 9970 4862 9971 4850 9971 4843 9971 4861 9972 4862 9972 4843 9972 4863 9973 4847 9973 4859 9973 4861 9974 4847 9974 4863 9974 4864 9975 4859 9975 4856 9975 4863 9976 4859 9976 4864 9976 4865 9977 4856 9977 4853 9977 4864 9978 4856 9978 4865 9978 4866 9979 4853 9979 4850 9979 4865 9980 4853 9980 4866 9980 4866 9981 4850 9981 4862 9981 4829 9982 4849 9982 4846 9982 4830 9983 4829 9983 4846 9983 4852 9984 4830 9984 4846 9984 4831 9985 4860 9985 4849 9985 4829 9986 4831 9986 4849 9986 4834 9987 4858 9987 4860 9987 4831 9988 4834 9988 4860 9988 4833 9989 4858 9989 4834 9989 4855 9990 4858 9990 4833 9990 4832 9991 4834 9991 4831 9991 4852 9992 4828 9992 4830 9992 4827 9993 4830 9993 4828 9993 4855 9994 4833 9994 4828 9994 4852 9995 4855 9995 4828 9995 4865 9996 4866 9996 4862 9996 4861 9997 4865 9997 4862 9997 4861 9998 4864 9998 4865 9998 4861 9999 4863 9999 4864 9999 4867 10000 4868 10000 4869 10000 4870 10001 4869 10001 4868 10001 4871 10002 4869 10002 4872 10002 4873 10003 4872 10003 4869 10003 4867 10004 4869 10004 4871 10004 4870 10005 4873 10005 4869 10005 4867 10006 4874 10006 4868 10006 4875 10007 4868 10007 4874 10007 4875 10008 4870 10008 4868 10008 4867 10009 4876 10009 4874 10009 4877 10010 4874 10010 4876 10010 4875 10011 4874 10011 4877 10011 4878 10012 4879 10012 4876 10012 4880 10013 4876 10013 4879 10013 4881 10014 4878 10014 4876 10014 4867 10015 4881 10015 4876 10015 4877 10016 4876 10016 4880 10016 4882 10017 4883 10017 4879 10017 4884 10018 4879 10018 4883 10018 4878 10019 4882 10019 4879 10019 4880 10020 4879 10020 4884 10020 4882 10021 4885 10021 4883 10021 4886 10022 4883 10022 4885 10022 4886 10023 4884 10023 4883 10023 4882 10024 4872 10024 4885 10024 4887 10025 4885 10025 4872 10025 4887 10026 4886 10026 4885 10026 4888 10027 4871 10027 4872 10027 4882 10028 4888 10028 4872 10028 4873 10029 4887 10029 4872 10029 4889 10030 4871 10030 4888 10030 4890 10031 4867 10031 4871 10031 4889 10032 4890 10032 4871 10032 4891 10033 4888 10033 4882 10033 4892 10034 4888 10034 4891 10034 4889 10035 4888 10035 4892 10035 4893 10036 4882 10036 4878 10036 4891 10037 4882 10037 4893 10037 4894 10038 4878 10038 4881 10038 4894 10039 4893 10039 4878 10039 4895 10040 4881 10040 4867 10040 4895 10041 4896 10041 4881 10041 4894 10042 4881 10042 4896 10042 4895 10043 4867 10043 4890 10043 4897 10044 4884 10044 4886 10044 4897 10045 4898 10045 4884 10045 4880 10046 4884 10046 4898 10046 4899 10047 4886 10047 4887 10047 4899 10048 4897 10048 4886 10048 4899 10049 4887 10049 4873 10049 4899 10050 4873 10050 4870 10050 4899 10051 4870 10051 4900 10051 4875 10052 4900 10052 4870 10052 4875 10053 4898 10053 4900 10053 4901 10054 4900 10054 4898 10054 4902 10055 4899 10055 4900 10055 4901 10056 4902 10056 4900 10056 4903 10057 4898 10057 4897 10057 4877 10058 4880 10058 4898 10058 4875 10059 4877 10059 4898 10059 4903 10060 4901 10060 4898 10060 4904 10061 4897 10061 4899 10061 4903 10062 4897 10062 4904 10062 4902 10063 4904 10063 4899 10063 4901 10064 4904 10064 4902 10064 4903 10065 4904 10065 4901 10065 4905 10066 4906 10066 4907 10066 4908 10067 4907 10067 4906 10067 4909 10068 4907 10068 4910 10068 4911 10069 4910 10069 4907 10069 4909 10070 4905 10070 4907 10070 4911 10071 4907 10071 4908 10071 4912 10072 4913 10072 4906 10072 4914 10073 4906 10073 4913 10073 4912 10074 4906 10074 4905 10074 4914 10075 4908 10075 4906 10075 4915 10076 4916 10076 4913 10076 4917 10077 4913 10077 4916 10077 4912 10078 4915 10078 4913 10078 4914 10079 4913 10079 4917 10079 4918 10080 4919 10080 4916 10080 4920 10081 4916 10081 4919 10081 4915 10082 4918 10082 4916 10082 4917 10083 4916 10083 4920 10083 4921 10084 4910 10084 4919 10084 4922 10085 4919 10085 4910 10085 4918 10086 4921 10086 4919 10086 4920 10087 4919 10087 4922 10087 4921 10088 4909 10088 4910 10088 4922 10089 4910 10089 4911 10089 4923 10090 4905 10090 4909 10090 4924 10091 4912 10091 4905 10091 4923 10092 4924 10092 4905 10092 4925 10093 4909 10093 4921 10093 4923 10094 4909 10094 4925 10094 4926 10095 4921 10095 4918 10095 4925 10096 4921 10096 4926 10096 4927 10097 4918 10097 4915 10097 4926 10098 4918 10098 4927 10098 4928 10099 4915 10099 4912 10099 4927 10100 4915 10100 4928 10100 4928 10101 4912 10101 4924 10101 4891 10102 4911 10102 4908 10102 4892 10103 4891 10103 4908 10103 4914 10104 4892 10104 4908 10104 4893 10105 4922 10105 4911 10105 4891 10106 4893 10106 4911 10106 4896 10107 4920 10107 4922 10107 4893 10108 4896 10108 4922 10108 4895 10109 4920 10109 4896 10109 4917 10110 4920 10110 4895 10110 4894 10111 4896 10111 4893 10111 4914 10112 4890 10112 4892 10112 4889 10113 4892 10113 4890 10113 4917 10114 4895 10114 4890 10114 4914 10115 4917 10115 4890 10115 4927 10116 4928 10116 4924 10116 4923 10117 4927 10117 4924 10117 4923 10118 4926 10118 4927 10118 4923 10119 4925 10119 4926 10119 4929 10120 4930 10120 4931 10120 4932 10121 4931 10121 4930 10121 4933 10122 4931 10122 4934 10122 4935 10123 4934 10123 4931 10123 4929 10124 4931 10124 4933 10124 4932 10125 4935 10125 4931 10125 4929 10126 4936 10126 4930 10126 4937 10127 4930 10127 4936 10127 4937 10128 4932 10128 4930 10128 4929 10129 4938 10129 4936 10129 4939 10130 4936 10130 4938 10130 4937 10131 4936 10131 4939 10131 4940 10132 4941 10132 4938 10132 4942 10133 4938 10133 4941 10133 4943 10134 4940 10134 4938 10134 4929 10135 4943 10135 4938 10135 4939 10136 4938 10136 4942 10136 4944 10137 4945 10137 4941 10137 4946 10138 4941 10138 4945 10138 4940 10139 4944 10139 4941 10139 4942 10140 4941 10140 4946 10140 4944 10141 4947 10141 4945 10141 4948 10142 4945 10142 4947 10142 4948 10143 4946 10143 4945 10143 4944 10144 4934 10144 4947 10144 4949 10145 4947 10145 4934 10145 4949 10146 4948 10146 4947 10146 4950 10147 4933 10147 4934 10147 4944 10148 4950 10148 4934 10148 4935 10149 4949 10149 4934 10149 4951 10150 4933 10150 4950 10150 4952 10151 4929 10151 4933 10151 4951 10152 4952 10152 4933 10152 4953 10153 4950 10153 4944 10153 4954 10154 4950 10154 4953 10154 4951 10155 4950 10155 4954 10155 4955 10156 4944 10156 4940 10156 4953 10157 4944 10157 4955 10157 4956 10158 4940 10158 4943 10158 4956 10159 4955 10159 4940 10159 4957 10160 4943 10160 4929 10160 4957 10161 4958 10161 4943 10161 4956 10162 4943 10162 4958 10162 4957 10163 4929 10163 4952 10163 4959 10164 4946 10164 4948 10164 4959 10165 4960 10165 4946 10165 4942 10166 4946 10166 4960 10166 4961 10167 4948 10167 4949 10167 4961 10168 4959 10168 4948 10168 4961 10169 4949 10169 4935 10169 4961 10170 4935 10170 4932 10170 4961 10171 4932 10171 4962 10171 4937 10172 4962 10172 4932 10172 4937 10173 4960 10173 4962 10173 4963 10174 4962 10174 4960 10174 4964 10175 4961 10175 4962 10175 4963 10176 4964 10176 4962 10176 4965 10177 4960 10177 4959 10177 4939 10178 4942 10178 4960 10178 4937 10179 4939 10179 4960 10179 4965 10180 4963 10180 4960 10180 4966 10181 4959 10181 4961 10181 4965 10182 4959 10182 4966 10182 4964 10183 4966 10183 4961 10183 4963 10184 4966 10184 4964 10184 4965 10185 4966 10185 4963 10185 4967 10186 4968 10186 4969 10186 4970 10187 4969 10187 4968 10187 4971 10188 4969 10188 4972 10188 4973 10189 4972 10189 4969 10189 4971 10190 4967 10190 4969 10190 4973 10191 4969 10191 4970 10191 4974 10192 4975 10192 4968 10192 4976 10193 4968 10193 4975 10193 4974 10194 4968 10194 4967 10194 4976 10195 4970 10195 4968 10195 4977 10196 4978 10196 4975 10196 4979 10197 4975 10197 4978 10197 4974 10198 4977 10198 4975 10198 4976 10199 4975 10199 4979 10199 4980 10200 4981 10200 4978 10200 4982 10201 4978 10201 4981 10201 4977 10202 4980 10202 4978 10202 4979 10203 4978 10203 4982 10203 4983 10204 4972 10204 4981 10204 4984 10205 4981 10205 4972 10205 4980 10206 4983 10206 4981 10206 4982 10207 4981 10207 4984 10207 4983 10208 4971 10208 4972 10208 4984 10209 4972 10209 4973 10209 4985 10210 4967 10210 4971 10210 4986 10211 4974 10211 4967 10211 4985 10212 4986 10212 4967 10212 4987 10213 4971 10213 4983 10213 4985 10214 4971 10214 4987 10214 4988 10215 4983 10215 4980 10215 4987 10216 4983 10216 4988 10216 4989 10217 4980 10217 4977 10217 4988 10218 4980 10218 4989 10218 4990 10219 4977 10219 4974 10219 4989 10220 4977 10220 4990 10220 4990 10221 4974 10221 4986 10221 4953 10222 4973 10222 4970 10222 4954 10223 4953 10223 4970 10223 4976 10224 4954 10224 4970 10224 4955 10225 4984 10225 4973 10225 4953 10226 4955 10226 4973 10226 4958 10227 4982 10227 4984 10227 4955 10228 4958 10228 4984 10228 4957 10229 4982 10229 4958 10229 4979 10230 4982 10230 4957 10230 4956 10231 4958 10231 4955 10231 4976 10232 4952 10232 4954 10232 4951 10233 4954 10233 4952 10233 4979 10234 4957 10234 4952 10234 4976 10235 4979 10235 4952 10235 4989 10236 4990 10236 4986 10236 4985 10237 4989 10237 4986 10237 4985 10238 4988 10238 4989 10238 4985 10239 4987 10239 4988 10239 4991 10240 4992 10240 4993 10240 4994 10241 4993 10241 4992 10241 4995 10242 4991 10242 4993 10242 4996 10243 4995 10243 4993 10243 4996 10244 4993 10244 4994 10244 4997 10245 4992 10245 4991 10245 4994 10246 4992 10246 4997 10246 4998 10247 4991 10247 4995 10247 4997 10248 4991 10248 4998 10248 4996 10249 4998 10249 4995 10249 4999 10250 5000 10250 5001 10250 5002 10251 5001 10251 5000 10251 5003 10252 4999 10252 5001 10252 5004 10253 5003 10253 5001 10253 5004 10254 5001 10254 5002 10254 5005 10255 5000 10255 4999 10255 5002 10256 5000 10256 5005 10256 5006 10257 4999 10257 5003 10257 5005 10258 4999 10258 5006 10258 5004 10259 5006 10259 5003 10259 4997 10260 5005 10260 5006 10260 4994 10261 4997 10261 5006 10261 5004 10262 4994 10262 5006 10262 4998 10263 5002 10263 5005 10263 4997 10264 4998 10264 5005 10264 4996 10265 5002 10265 4998 10265 4996 10266 5004 10266 5002 10266 4996 10267 4994 10267 5004 10267 5007 10268 5008 10268 5009 10268 5010 10269 5009 10269 5008 10269 5011 10270 5007 10270 5009 10270 5012 10271 5011 10271 5009 10271 5012 10272 5009 10272 5010 10272 5013 10273 5008 10273 5007 10273 5010 10274 5008 10274 5013 10274 5014 10275 5007 10275 5011 10275 5013 10276 5007 10276 5014 10276 5012 10277 5014 10277 5011 10277 5015 10278 5016 10278 5017 10278 5018 10279 5017 10279 5016 10279 5019 10280 5015 10280 5017 10280 5020 10281 5019 10281 5017 10281 5020 10282 5017 10282 5018 10282 5021 10283 5016 10283 5015 10283 5018 10284 5016 10284 5021 10284 5022 10285 5015 10285 5019 10285 5021 10286 5015 10286 5022 10286 5020 10287 5022 10287 5019 10287 5013 10288 5021 10288 5022 10288 5010 10289 5013 10289 5022 10289 5020 10290 5010 10290 5022 10290 5014 10291 5018 10291 5021 10291 5013 10292 5014 10292 5021 10292 5012 10293 5018 10293 5014 10293 5012 10294 5020 10294 5018 10294 5012 10295 5010 10295 5020 10295 5023 10296 5024 10296 5025 10296 5026 10297 5025 10297 5024 10297 5027 10298 5025 10298 5028 10298 5029 10299 5028 10299 5025 10299 5023 10300 5025 10300 5027 10300 5026 10301 5029 10301 5025 10301 5030 10302 5031 10302 5024 10302 5032 10303 5024 10303 5031 10303 5033 10304 5030 10304 5024 10304 5023 10305 5033 10305 5024 10305 5032 10306 5026 10306 5024 10306 5034 10307 5028 10307 5031 10307 5035 10308 5031 10308 5028 10308 5030 10309 5034 10309 5031 10309 5032 10310 5031 10310 5035 10310 5036 10311 5027 10311 5028 10311 5034 10312 5036 10312 5028 10312 5029 10313 5035 10313 5028 10313 5037 10314 5027 10314 5036 10314 5038 10315 5023 10315 5027 10315 5037 10316 5038 10316 5027 10316 5039 10317 5036 10317 5034 10317 5040 10318 5036 10318 5039 10318 5037 10319 5036 10319 5040 10319 5041 10320 5034 10320 5030 10320 5039 10321 5034 10321 5041 10321 5042 10322 5030 10322 5033 10322 5042 10323 5041 10323 5030 10323 5043 10324 5033 10324 5023 10324 5043 10325 5044 10325 5033 10325 5042 10326 5033 10326 5044 10326 5043 10327 5023 10327 5038 10327 5045 10328 5035 10328 5029 10328 5045 10329 5046 10329 5035 10329 5032 10330 5035 10330 5046 10330 5047 10331 5029 10331 5026 10331 5047 10332 5045 10332 5029 10332 5047 10333 5026 10333 5048 10333 5032 10334 5048 10334 5026 10334 5032 10335 5046 10335 5048 10335 5049 10336 5048 10336 5046 10336 5050 10337 5047 10337 5048 10337 5049 10338 5050 10338 5048 10338 5051 10339 5046 10339 5045 10339 5051 10340 5049 10340 5046 10340 5052 10341 5045 10341 5047 10341 5051 10342 5045 10342 5052 10342 5050 10343 5052 10343 5047 10343 5049 10344 5052 10344 5050 10344 5051 10345 5052 10345 5049 10345 5053 10346 5054 10346 5055 10346 5056 10347 5055 10347 5054 10347 5057 10348 5053 10348 5055 10348 5058 10349 5055 10349 5059 10349 5060 10350 5059 10350 5055 10350 5058 10351 5061 10351 5055 10351 5057 10352 5055 10352 5061 10352 5060 10353 5055 10353 5056 10353 5062 10354 5054 10354 5053 10354 5062 10355 5056 10355 5054 10355 5063 10356 5064 10356 5053 10356 5065 10357 5053 10357 5064 10357 5057 10358 5063 10358 5053 10358 5062 10359 5053 10359 5065 10359 5059 10360 5066 10360 5064 10360 5067 10361 5064 10361 5066 10361 5068 10362 5059 10362 5064 10362 5069 10363 5068 10363 5064 10363 5063 10364 5069 10364 5064 10364 5065 10365 5064 10365 5067 10365 5070 10366 5066 10366 5059 10366 5067 10367 5066 10367 5070 10367 5068 10368 5058 10368 5059 10368 5070 10369 5059 10369 5060 10369 5071 10370 5061 10370 5058 10370 5072 10371 5057 10371 5061 10371 5071 10372 5072 10372 5061 10372 5073 10373 5058 10373 5068 10373 5071 10374 5058 10374 5073 10374 5074 10375 5068 10375 5069 10375 5073 10376 5068 10376 5074 10376 5075 10377 5069 10377 5063 10377 5074 10378 5069 10378 5075 10378 5076 10379 5063 10379 5057 10379 5075 10380 5063 10380 5076 10380 5076 10381 5057 10381 5072 10381 5039 10382 5060 10382 5056 10382 5040 10383 5039 10383 5056 10383 5062 10384 5040 10384 5056 10384 5041 10385 5070 10385 5060 10385 5039 10386 5041 10386 5060 10386 5044 10387 5067 10387 5070 10387 5041 10388 5044 10388 5070 10388 5043 10389 5067 10389 5044 10389 5065 10390 5067 10390 5043 10390 5042 10391 5044 10391 5041 10391 5062 10392 5038 10392 5040 10392 5037 10393 5040 10393 5038 10393 5065 10394 5043 10394 5038 10394 5062 10395 5065 10395 5038 10395 5075 10396 5076 10396 5072 10396 5071 10397 5075 10397 5072 10397 5071 10398 5074 10398 5075 10398 5071 10399 5073 10399 5074 10399 5077 10400 5078 10400 5079 10400 5080 10401 5079 10401 5078 10401 5081 10402 5079 10402 5082 10402 5083 10403 5082 10403 5079 10403 5077 10404 5079 10404 5081 10404 5080 10405 5083 10405 5079 10405 5084 10406 5085 10406 5078 10406 5086 10407 5078 10407 5085 10407 5087 10408 5084 10408 5078 10408 5077 10409 5087 10409 5078 10409 5086 10410 5080 10410 5078 10410 5088 10411 5082 10411 5085 10411 5089 10412 5085 10412 5082 10412 5084 10413 5088 10413 5085 10413 5086 10414 5085 10414 5089 10414 5090 10415 5081 10415 5082 10415 5088 10416 5090 10416 5082 10416 5083 10417 5089 10417 5082 10417 5091 10418 5081 10418 5090 10418 5092 10419 5077 10419 5081 10419 5091 10420 5092 10420 5081 10420 5093 10421 5090 10421 5088 10421 5094 10422 5090 10422 5093 10422 5091 10423 5090 10423 5094 10423 5095 10424 5088 10424 5084 10424 5093 10425 5088 10425 5095 10425 5096 10426 5084 10426 5087 10426 5096 10427 5095 10427 5084 10427 5097 10428 5087 10428 5077 10428 5097 10429 5098 10429 5087 10429 5096 10430 5087 10430 5098 10430 5097 10431 5077 10431 5092 10431 5099 10432 5089 10432 5083 10432 5099 10433 5100 10433 5089 10433 5086 10434 5089 10434 5100 10434 5101 10435 5083 10435 5080 10435 5101 10436 5099 10436 5083 10436 5101 10437 5080 10437 5102 10437 5086 10438 5102 10438 5080 10438 5086 10439 5100 10439 5102 10439 5103 10440 5102 10440 5100 10440 5104 10441 5101 10441 5102 10441 5103 10442 5104 10442 5102 10442 5105 10443 5100 10443 5099 10443 5105 10444 5103 10444 5100 10444 5106 10445 5099 10445 5101 10445 5105 10446 5099 10446 5106 10446 5104 10447 5106 10447 5101 10447 5103 10448 5106 10448 5104 10448 5105 10449 5106 10449 5103 10449 5107 10450 5108 10450 5109 10450 5110 10451 5109 10451 5108 10451 5111 10452 5107 10452 5109 10452 5112 10453 5109 10453 5113 10453 5114 10454 5113 10454 5109 10454 5112 10455 5115 10455 5109 10455 5111 10456 5109 10456 5115 10456 5114 10457 5109 10457 5110 10457 5116 10458 5108 10458 5107 10458 5116 10459 5110 10459 5108 10459 5117 10460 5118 10460 5107 10460 5119 10461 5107 10461 5118 10461 5111 10462 5117 10462 5107 10462 5116 10463 5107 10463 5119 10463 5113 10464 5120 10464 5118 10464 5121 10465 5118 10465 5120 10465 5122 10466 5113 10466 5118 10466 5123 10467 5122 10467 5118 10467 5117 10468 5123 10468 5118 10468 5119 10469 5118 10469 5121 10469 5124 10470 5120 10470 5113 10470 5121 10471 5120 10471 5124 10471 5122 10472 5112 10472 5113 10472 5124 10473 5113 10473 5114 10473 5125 10474 5115 10474 5112 10474 5126 10475 5111 10475 5115 10475 5125 10476 5126 10476 5115 10476 5127 10477 5112 10477 5122 10477 5125 10478 5112 10478 5127 10478 5128 10479 5122 10479 5123 10479 5127 10480 5122 10480 5128 10480 5129 10481 5123 10481 5117 10481 5128 10482 5123 10482 5129 10482 5130 10483 5117 10483 5111 10483 5129 10484 5117 10484 5130 10484 5130 10485 5111 10485 5126 10485 5093 10486 5114 10486 5110 10486 5094 10487 5093 10487 5110 10487 5116 10488 5094 10488 5110 10488 5095 10489 5124 10489 5114 10489 5093 10490 5095 10490 5114 10490 5098 10491 5121 10491 5124 10491 5095 10492 5098 10492 5124 10492 5097 10493 5121 10493 5098 10493 5119 10494 5121 10494 5097 10494 5096 10495 5098 10495 5095 10495 5116 10496 5092 10496 5094 10496 5091 10497 5094 10497 5092 10497 5119 10498 5097 10498 5092 10498 5116 10499 5119 10499 5092 10499 5129 10500 5130 10500 5126 10500 5125 10501 5129 10501 5126 10501 5125 10502 5128 10502 5129 10502 5125 10503 5127 10503 5128 10503 5131 10504 5132 10504 5133 10504 5134 10505 5133 10505 5132 10505 5135 10506 5131 10506 5133 10506 5136 10507 5133 10507 5137 10507 5138 10508 5137 10508 5133 10508 5136 10509 5139 10509 5133 10509 5135 10510 5133 10510 5139 10510 5134 10511 5138 10511 5133 10511 5140 10512 5132 10512 5131 10512 5140 10513 5134 10513 5132 10513 5141 10514 5142 10514 5131 10514 5143 10515 5131 10515 5142 10515 5135 10516 5141 10516 5131 10516 5143 10517 5140 10517 5131 10517 5137 10518 5144 10518 5142 10518 5145 10519 5142 10519 5144 10519 5146 10520 5137 10520 5142 10520 5147 10521 5146 10521 5142 10521 5141 10522 5147 10522 5142 10522 5143 10523 5142 10523 5145 10523 5148 10524 5144 10524 5137 10524 5148 10525 5145 10525 5144 10525 5146 10526 5136 10526 5137 10526 5138 10527 5148 10527 5137 10527 5149 10528 5139 10528 5136 10528 5150 10529 5135 10529 5139 10529 5149 10530 5150 10530 5139 10530 5151 10531 5136 10531 5146 10531 5149 10532 5136 10532 5151 10532 5152 10533 5146 10533 5147 10533 5151 10534 5146 10534 5152 10534 5153 10535 5147 10535 5141 10535 5152 10536 5147 10536 5153 10536 5154 10537 5141 10537 5135 10537 5153 10538 5141 10538 5154 10538 5154 10539 5135 10539 5150 10539 5155 10540 5145 10540 5148 10540 5156 10541 5145 10541 5155 10541 5156 10542 5143 10542 5145 10542 5157 10543 5148 10543 5138 10543 5158 10544 5155 10544 5148 10544 5157 10545 5158 10545 5148 10545 5159 10546 5138 10546 5134 10546 5159 10547 5157 10547 5138 10547 5160 10548 5159 10548 5134 10548 5140 10549 5160 10549 5134 10549 5161 10550 5155 10550 5158 10550 5162 10551 5155 10551 5161 10551 5156 10552 5155 10552 5162 10552 5161 10553 5158 10553 5157 10553 5163 10554 5157 10554 5159 10554 5163 10555 5161 10555 5157 10555 5163 10556 5159 10556 5160 10556 5164 10557 5163 10557 5160 10557 5165 10558 5164 10558 5160 10558 5165 10559 5160 10559 5140 10559 5166 10560 5161 10560 5163 10560 5166 10561 5167 10561 5161 10561 5162 10562 5161 10562 5167 10562 5168 10563 5163 10563 5164 10563 5168 10564 5166 10564 5163 10564 5168 10565 5164 10565 5169 10565 5162 10566 5169 10566 5164 10566 5170 10567 5162 10567 5164 10567 5170 10568 5164 10568 5165 10568 5162 10569 5167 10569 5169 10569 5171 10570 5169 10570 5167 10570 5172 10571 5168 10571 5169 10571 5171 10572 5172 10572 5169 10572 5173 10573 5167 10573 5166 10573 5173 10574 5171 10574 5167 10574 5174 10575 5166 10575 5168 10575 5173 10576 5166 10576 5174 10576 5172 10577 5174 10577 5168 10577 5156 10578 5162 10578 5170 10578 5171 10579 5174 10579 5172 10579 5173 10580 5174 10580 5171 10580 5170 10581 5140 10581 5143 10581 5170 10582 5165 10582 5140 10582 5156 10583 5170 10583 5143 10583 5153 10584 5154 10584 5150 10584 5149 10585 5153 10585 5150 10585 5149 10586 5152 10586 5153 10586 5149 10587 5151 10587 5152 10587 5175 10588 5176 10588 5177 10588 5178 10589 5177 10589 5176 10589 5179 10590 5175 10590 5177 10590 5180 10591 5177 10591 5181 10591 5182 10592 5181 10592 5177 10592 5180 10593 5183 10593 5177 10593 5179 10594 5177 10594 5183 10594 5178 10595 5182 10595 5177 10595 5184 10596 5176 10596 5175 10596 5184 10597 5178 10597 5176 10597 5185 10598 5186 10598 5175 10598 5187 10599 5175 10599 5186 10599 5179 10600 5185 10600 5175 10600 5187 10601 5184 10601 5175 10601 5181 10602 5188 10602 5186 10602 5189 10603 5186 10603 5188 10603 5190 10604 5181 10604 5186 10604 5191 10605 5190 10605 5186 10605 5185 10606 5191 10606 5186 10606 5187 10607 5186 10607 5189 10607 5192 10608 5188 10608 5181 10608 5192 10609 5189 10609 5188 10609 5190 10610 5180 10610 5181 10610 5182 10611 5192 10611 5181 10611 5193 10612 5183 10612 5180 10612 5194 10613 5179 10613 5183 10613 5193 10614 5194 10614 5183 10614 5195 10615 5180 10615 5190 10615 5193 10616 5180 10616 5195 10616 5196 10617 5190 10617 5191 10617 5195 10618 5190 10618 5196 10618 5197 10619 5191 10619 5185 10619 5196 10620 5191 10620 5197 10620 5198 10621 5185 10621 5179 10621 5197 10622 5185 10622 5198 10622 5198 10623 5179 10623 5194 10623 5199 10624 5189 10624 5192 10624 5200 10625 5189 10625 5199 10625 5200 10626 5187 10626 5189 10626 5201 10627 5192 10627 5182 10627 5202 10628 5199 10628 5192 10628 5201 10629 5202 10629 5192 10629 5203 10630 5182 10630 5178 10630 5203 10631 5201 10631 5182 10631 5204 10632 5203 10632 5178 10632 5184 10633 5204 10633 5178 10633 5205 10634 5199 10634 5202 10634 5206 10635 5199 10635 5205 10635 5200 10636 5199 10636 5206 10636 5205 10637 5202 10637 5201 10637 5207 10638 5201 10638 5203 10638 5207 10639 5205 10639 5201 10639 5207 10640 5203 10640 5204 10640 5208 10641 5207 10641 5204 10641 5209 10642 5208 10642 5204 10642 5209 10643 5204 10643 5184 10643 5210 10644 5205 10644 5207 10644 5210 10645 5211 10645 5205 10645 5206 10646 5205 10646 5211 10646 5212 10647 5207 10647 5208 10647 5212 10648 5210 10648 5207 10648 5212 10649 5208 10649 5213 10649 5206 10650 5213 10650 5208 10650 5214 10651 5206 10651 5208 10651 5214 10652 5208 10652 5209 10652 5206 10653 5211 10653 5213 10653 5215 10654 5213 10654 5211 10654 5216 10655 5212 10655 5213 10655 5215 10656 5216 10656 5213 10656 5217 10657 5211 10657 5210 10657 5217 10658 5215 10658 5211 10658 5218 10659 5210 10659 5212 10659 5217 10660 5210 10660 5218 10660 5216 10661 5218 10661 5212 10661 5200 10662 5206 10662 5214 10662 5215 10663 5218 10663 5216 10663 5217 10664 5218 10664 5215 10664 5214 10665 5184 10665 5187 10665 5214 10666 5209 10666 5184 10666 5200 10667 5214 10667 5187 10667 5197 10668 5198 10668 5194 10668 5193 10669 5197 10669 5194 10669 5193 10670 5196 10670 5197 10670 5193 10671 5195 10671 5196 10671 5219 10672 5220 10672 5221 10672 5222 10673 5221 10673 5220 10673 5223 10674 5219 10674 5221 10674 5224 10675 5221 10675 5225 10675 5226 10676 5225 10676 5221 10676 5224 10677 5227 10677 5221 10677 5223 10678 5221 10678 5227 10678 5222 10679 5226 10679 5221 10679 5228 10680 5220 10680 5219 10680 5228 10681 5222 10681 5220 10681 5229 10682 5230 10682 5219 10682 5231 10683 5219 10683 5230 10683 5223 10684 5229 10684 5219 10684 5231 10685 5228 10685 5219 10685 5225 10686 5232 10686 5230 10686 5233 10687 5230 10687 5232 10687 5234 10688 5225 10688 5230 10688 5235 10689 5234 10689 5230 10689 5229 10690 5235 10690 5230 10690 5231 10691 5230 10691 5233 10691 5236 10692 5232 10692 5225 10692 5236 10693 5233 10693 5232 10693 5234 10694 5224 10694 5225 10694 5226 10695 5236 10695 5225 10695 5237 10696 5227 10696 5224 10696 5238 10697 5223 10697 5227 10697 5237 10698 5238 10698 5227 10698 5239 10699 5224 10699 5234 10699 5237 10700 5224 10700 5239 10700 5240 10701 5234 10701 5235 10701 5239 10702 5234 10702 5240 10702 5241 10703 5235 10703 5229 10703 5240 10704 5235 10704 5241 10704 5242 10705 5229 10705 5223 10705 5241 10706 5229 10706 5242 10706 5242 10707 5223 10707 5238 10707 5243 10708 5233 10708 5236 10708 5244 10709 5233 10709 5243 10709 5244 10710 5231 10710 5233 10710 5245 10711 5236 10711 5226 10711 5246 10712 5243 10712 5236 10712 5245 10713 5246 10713 5236 10713 5247 10714 5226 10714 5222 10714 5247 10715 5245 10715 5226 10715 5248 10716 5247 10716 5222 10716 5228 10717 5248 10717 5222 10717 5249 10718 5243 10718 5246 10718 5250 10719 5243 10719 5249 10719 5244 10720 5243 10720 5250 10720 5249 10721 5246 10721 5245 10721 5251 10722 5245 10722 5247 10722 5251 10723 5249 10723 5245 10723 5251 10724 5247 10724 5248 10724 5252 10725 5251 10725 5248 10725 5253 10726 5252 10726 5248 10726 5253 10727 5248 10727 5228 10727 5254 10728 5249 10728 5251 10728 5254 10729 5255 10729 5249 10729 5250 10730 5249 10730 5255 10730 5256 10731 5251 10731 5252 10731 5256 10732 5254 10732 5251 10732 5256 10733 5252 10733 5257 10733 5250 10734 5257 10734 5252 10734 5258 10735 5250 10735 5252 10735 5258 10736 5252 10736 5253 10736 5250 10737 5255 10737 5257 10737 5259 10738 5257 10738 5255 10738 5260 10739 5256 10739 5257 10739 5259 10740 5260 10740 5257 10740 5261 10741 5255 10741 5254 10741 5261 10742 5259 10742 5255 10742 5262 10743 5254 10743 5256 10743 5261 10744 5254 10744 5262 10744 5260 10745 5262 10745 5256 10745 5244 10746 5250 10746 5258 10746 5259 10747 5262 10747 5260 10747 5261 10748 5262 10748 5259 10748 5258 10749 5228 10749 5231 10749 5258 10750 5253 10750 5228 10750 5244 10751 5258 10751 5231 10751 5241 10752 5242 10752 5238 10752 5237 10753 5241 10753 5238 10753 5237 10754 5240 10754 5241 10754 5237 10755 5239 10755 5240 10755 5263 10756 5264 10756 5265 10756 5266 10757 5265 10757 5264 10757 5267 10758 5263 10758 5265 10758 5268 10759 5265 10759 5269 10759 5270 10760 5269 10760 5265 10760 5268 10761 5271 10761 5265 10761 5267 10762 5265 10762 5271 10762 5266 10763 5270 10763 5265 10763 5272 10764 5264 10764 5263 10764 5272 10765 5266 10765 5264 10765 5273 10766 5274 10766 5263 10766 5275 10767 5263 10767 5274 10767 5267 10768 5273 10768 5263 10768 5275 10769 5272 10769 5263 10769 5269 10770 5276 10770 5274 10770 5277 10771 5274 10771 5276 10771 5278 10772 5269 10772 5274 10772 5279 10773 5278 10773 5274 10773 5273 10774 5279 10774 5274 10774 5275 10775 5274 10775 5277 10775 5280 10776 5276 10776 5269 10776 5280 10777 5277 10777 5276 10777 5278 10778 5268 10778 5269 10778 5270 10779 5280 10779 5269 10779 5281 10780 5271 10780 5268 10780 5282 10781 5267 10781 5271 10781 5281 10782 5282 10782 5271 10782 5283 10783 5268 10783 5278 10783 5281 10784 5268 10784 5283 10784 5284 10785 5278 10785 5279 10785 5283 10786 5278 10786 5284 10786 5285 10787 5279 10787 5273 10787 5284 10788 5279 10788 5285 10788 5286 10789 5273 10789 5267 10789 5285 10790 5273 10790 5286 10790 5286 10791 5267 10791 5282 10791 5287 10792 5277 10792 5280 10792 5288 10793 5277 10793 5287 10793 5288 10794 5275 10794 5277 10794 5289 10795 5280 10795 5270 10795 5290 10796 5287 10796 5280 10796 5289 10797 5290 10797 5280 10797 5291 10798 5270 10798 5266 10798 5291 10799 5289 10799 5270 10799 5292 10800 5291 10800 5266 10800 5272 10801 5292 10801 5266 10801 5293 10802 5287 10802 5290 10802 5294 10803 5287 10803 5293 10803 5288 10804 5287 10804 5294 10804 5293 10805 5290 10805 5289 10805 5295 10806 5289 10806 5291 10806 5295 10807 5293 10807 5289 10807 5295 10808 5291 10808 5292 10808 5296 10809 5295 10809 5292 10809 5297 10810 5296 10810 5292 10810 5297 10811 5292 10811 5272 10811 5298 10812 5293 10812 5295 10812 5298 10813 5299 10813 5293 10813 5294 10814 5293 10814 5299 10814 5300 10815 5295 10815 5296 10815 5300 10816 5298 10816 5295 10816 5300 10817 5296 10817 5301 10817 5294 10818 5301 10818 5296 10818 5302 10819 5294 10819 5296 10819 5302 10820 5296 10820 5297 10820 5294 10821 5299 10821 5301 10821 5303 10822 5301 10822 5299 10822 5304 10823 5300 10823 5301 10823 5303 10824 5304 10824 5301 10824 5305 10825 5299 10825 5298 10825 5305 10826 5303 10826 5299 10826 5306 10827 5298 10827 5300 10827 5305 10828 5298 10828 5306 10828 5304 10829 5306 10829 5300 10829 5288 10830 5294 10830 5302 10830 5303 10831 5306 10831 5304 10831 5305 10832 5306 10832 5303 10832 5302 10833 5272 10833 5275 10833 5302 10834 5297 10834 5272 10834 5288 10835 5302 10835 5275 10835 5285 10836 5286 10836 5282 10836 5281 10837 5285 10837 5282 10837 5281 10838 5284 10838 5285 10838 5281 10839 5283 10839 5284 10839 5307 10840 5308 10840 5309 10840 5310 10841 5309 10841 5308 10841 5311 10842 5307 10842 5309 10842 5312 10843 5309 10843 5313 10843 5314 10844 5313 10844 5309 10844 5312 10845 5315 10845 5309 10845 5311 10846 5309 10846 5315 10846 5310 10847 5314 10847 5309 10847 5316 10848 5308 10848 5307 10848 5316 10849 5310 10849 5308 10849 5317 10850 5318 10850 5307 10850 5319 10851 5307 10851 5318 10851 5311 10852 5317 10852 5307 10852 5319 10853 5316 10853 5307 10853 5313 10854 5320 10854 5318 10854 5321 10855 5318 10855 5320 10855 5322 10856 5313 10856 5318 10856 5323 10857 5322 10857 5318 10857 5317 10858 5323 10858 5318 10858 5319 10859 5318 10859 5321 10859 5324 10860 5320 10860 5313 10860 5324 10861 5321 10861 5320 10861 5322 10862 5312 10862 5313 10862 5314 10863 5324 10863 5313 10863 5325 10864 5315 10864 5312 10864 5326 10865 5311 10865 5315 10865 5325 10866 5326 10866 5315 10866 5327 10867 5312 10867 5322 10867 5325 10868 5312 10868 5327 10868 5328 10869 5322 10869 5323 10869 5327 10870 5322 10870 5328 10870 5329 10871 5323 10871 5317 10871 5328 10872 5323 10872 5329 10872 5330 10873 5317 10873 5311 10873 5329 10874 5317 10874 5330 10874 5330 10875 5311 10875 5326 10875 5331 10876 5321 10876 5324 10876 5332 10877 5321 10877 5331 10877 5332 10878 5319 10878 5321 10878 5333 10879 5324 10879 5314 10879 5334 10880 5331 10880 5324 10880 5333 10881 5334 10881 5324 10881 5335 10882 5314 10882 5310 10882 5335 10883 5333 10883 5314 10883 5336 10884 5335 10884 5310 10884 5316 10885 5336 10885 5310 10885 5337 10886 5331 10886 5334 10886 5338 10887 5331 10887 5337 10887 5332 10888 5331 10888 5338 10888 5337 10889 5334 10889 5333 10889 5339 10890 5333 10890 5335 10890 5339 10891 5337 10891 5333 10891 5339 10892 5335 10892 5336 10892 5340 10893 5339 10893 5336 10893 5341 10894 5340 10894 5336 10894 5341 10895 5336 10895 5316 10895 5342 10896 5337 10896 5339 10896 5342 10897 5343 10897 5337 10897 5338 10898 5337 10898 5343 10898 5344 10899 5339 10899 5340 10899 5344 10900 5342 10900 5339 10900 5344 10901 5340 10901 5345 10901 5338 10902 5345 10902 5340 10902 5346 10903 5338 10903 5340 10903 5346 10904 5340 10904 5341 10904 5338 10905 5343 10905 5345 10905 5347 10906 5345 10906 5343 10906 5348 10907 5344 10907 5345 10907 5347 10908 5348 10908 5345 10908 5349 10909 5343 10909 5342 10909 5349 10910 5347 10910 5343 10910 5350 10911 5342 10911 5344 10911 5349 10912 5342 10912 5350 10912 5348 10913 5350 10913 5344 10913 5332 10914 5338 10914 5346 10914 5347 10915 5350 10915 5348 10915 5349 10916 5350 10916 5347 10916 5346 10917 5316 10917 5319 10917 5346 10918 5341 10918 5316 10918 5332 10919 5346 10919 5319 10919 5329 10920 5330 10920 5326 10920 5325 10921 5329 10921 5326 10921 5325 10922 5328 10922 5329 10922 5325 10923 5327 10923 5328 10923 5351 10924 5352 10924 5353 10924 5354 10925 5353 10925 5352 10925 5355 10926 5351 10926 5353 10926 5356 10927 5353 10927 5357 10927 5358 10928 5357 10928 5353 10928 5356 10929 5359 10929 5353 10929 5355 10930 5353 10930 5359 10930 5354 10931 5358 10931 5353 10931 5360 10932 5352 10932 5351 10932 5360 10933 5354 10933 5352 10933 5361 10934 5362 10934 5351 10934 5363 10935 5351 10935 5362 10935 5355 10936 5361 10936 5351 10936 5363 10937 5360 10937 5351 10937 5357 10938 5364 10938 5362 10938 5365 10939 5362 10939 5364 10939 5366 10940 5357 10940 5362 10940 5367 10941 5366 10941 5362 10941 5361 10942 5367 10942 5362 10942 5363 10943 5362 10943 5365 10943 5368 10944 5364 10944 5357 10944 5368 10945 5365 10945 5364 10945 5366 10946 5356 10946 5357 10946 5358 10947 5368 10947 5357 10947 5369 10948 5359 10948 5356 10948 5370 10949 5355 10949 5359 10949 5369 10950 5370 10950 5359 10950 5371 10951 5356 10951 5366 10951 5369 10952 5356 10952 5371 10952 5372 10953 5366 10953 5367 10953 5371 10954 5366 10954 5372 10954 5373 10955 5367 10955 5361 10955 5372 10956 5367 10956 5373 10956 5374 10957 5361 10957 5355 10957 5373 10958 5361 10958 5374 10958 5374 10959 5355 10959 5370 10959 5375 10960 5365 10960 5368 10960 5376 10961 5365 10961 5375 10961 5376 10962 5363 10962 5365 10962 5377 10963 5368 10963 5358 10963 5378 10964 5375 10964 5368 10964 5377 10965 5378 10965 5368 10965 5379 10966 5358 10966 5354 10966 5379 10967 5377 10967 5358 10967 5380 10968 5379 10968 5354 10968 5360 10969 5380 10969 5354 10969 5381 10970 5375 10970 5378 10970 5382 10971 5375 10971 5381 10971 5376 10972 5375 10972 5382 10972 5381 10973 5378 10973 5377 10973 5383 10974 5377 10974 5379 10974 5383 10975 5381 10975 5377 10975 5383 10976 5379 10976 5380 10976 5384 10977 5383 10977 5380 10977 5385 10978 5384 10978 5380 10978 5385 10979 5380 10979 5360 10979 5386 10980 5381 10980 5383 10980 5386 10981 5387 10981 5381 10981 5382 10982 5381 10982 5387 10982 5388 10983 5383 10983 5384 10983 5388 10984 5386 10984 5383 10984 5388 10985 5384 10985 5389 10985 5382 10986 5389 10986 5384 10986 5390 10987 5382 10987 5384 10987 5390 10988 5384 10988 5385 10988 5382 10989 5387 10989 5389 10989 5391 10990 5389 10990 5387 10990 5392 10991 5388 10991 5389 10991 5391 10992 5392 10992 5389 10992 5393 10993 5387 10993 5386 10993 5393 10994 5391 10994 5387 10994 5394 10995 5386 10995 5388 10995 5393 10996 5386 10996 5394 10996 5392 10997 5394 10997 5388 10997 5376 10998 5382 10998 5390 10998 5391 10999 5394 10999 5392 10999 5393 11000 5394 11000 5391 11000 5390 11001 5360 11001 5363 11001 5390 11002 5385 11002 5360 11002 5376 11003 5390 11003 5363 11003 5373 11004 5374 11004 5370 11004 5369 11005 5373 11005 5370 11005 5369 11006 5372 11006 5373 11006 5369 11007 5371 11007 5372 11007</p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="wrist_r" name="wrist_r" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#wrist_r-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="aluminum-material" target="#aluminum-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyQ/hyqb.urdf.xacro b/ct_models/urdf/HyQ/hyqb.urdf.xacro
new file mode 100644
index 0000000..c14039d
--- /dev/null
+++ b/ct_models/urdf/HyQ/hyqb.urdf.xacro
@@ -0,0 +1,69 @@
+<?xml version="1.0"?>
+
+<robot name="hyq" xmlns:xacro="http://www.ros.org/wiki/xacro">
+
+ <!-- The following included files set up definitions of parts of the robot body -->
+ <xacro:include filename="$(find ct_models)/urdf/HyQ/links/inertia.urdf.xacro"/>
+ <!-- HyQ trunk -->
+ <xacro:include filename="$(find ct_models)/urdf/HyQ/links/trunk.urdf.xacro"/>
+
+ <!-- HyQ legs -->
+ <xacro:include filename="$(find ct_models)/urdf/HyQ/links/leg.urdf.xacro"/>
+
+ <!-- Now we can start using the macros included above to define the actual HyQ -->
+
+ <!-- The first use of a macro. This one was defined in trunk.urdf.xacro above.
+A macro like this will expand to a set of link and joint definitions, and to additional
+Gazebo-related extensions (sensor plugins, etc). The macro takes an argument, name,
+that equals "base", and uses it to generate names for its component links and joints
+(e.g., base_link). The included origin block is also an argument to the macro. By convention,
+the origin block defines where the component is w.r.t its parent (in this case the parent
+is the world frame). For more, see http://www.ros.org/wiki/xacro -->
+
+ <!-- body -->
+ <!-- trunk -->
+ <xacro:hyq_trunk name="base">
+ <!-- <origin xyz="-0.443 -0.191 -0.276" rpy="0 0 0"/> -->
+ </xacro:hyq_trunk>
+
+ <!-- LF leg -->
+ <xacro:hyq_leg
+ name="lf"
+ parent="trunk"
+ reflect_hip="1"
+ reflect_upper="1"
+ reflect_front="1">
+ <origin xyz="${d_fh/2} ${d_lr/2} 0" rpy="0 ${PI/2} ${PI}"/>
+ </xacro:hyq_leg>
+
+ <!-- RF leg -->
+ <xacro:hyq_leg
+ name="rf"
+ parent="trunk"
+ reflect_hip="-1"
+ reflect_upper="-1"
+ reflect_front="1">
+ <origin xyz="${d_fh/2} ${-d_lr/2} 0" rpy="0 ${PI/2} 0"/>
+ </xacro:hyq_leg>
+
+ <!-- LH leg -->
+ <xacro:hyq_leg
+ name="lh"
+ parent="trunk"
+ reflect_hip="-1"
+ reflect_upper="1"
+ reflect_front="-1">
+ <origin xyz="${-d_fh/2} ${d_lr/2} 0" rpy="0 ${PI/2} ${PI}"/>
+ </xacro:hyq_leg>
+
+ <!-- RH leg -->
+ <xacro:hyq_leg
+ name="rh"
+ parent="trunk"
+ reflect_hip="1"
+ reflect_upper="-1"
+ reflect_front="-1">
+ <origin xyz="${-d_fh/2} ${-d_lr/2} 0" rpy="0 ${PI/2} 0"/>
+ </xacro:hyq_leg>
+
+</robot>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/links/inertia.urdf.xacro b/ct_models/urdf/HyQ/links/inertia.urdf.xacro
new file mode 100644
index 0000000..4436ace
--- /dev/null
+++ b/ct_models/urdf/HyQ/links/inertia.urdf.xacro
@@ -0,0 +1,59 @@
+<?xml version="1.0"?>
+
+<robot>
+
+ <property name="PI" value="3.1415926535897931"/>
+
+ <!-- standard distances -->
+ <property name="d_lr" value="0.414"/>
+ <property name="d_fh" value="0.747"/>
+ <property name="d_tbb" value="0.082"/>
+ <property name="d_p1p2" value="0.35"/>
+
+ <!-- Inertial values -->
+ <!-- Trunk with hydraulic system -->
+ <property name="xcom_trunk" value="0.027222"/>
+ <property name="ycom_trunk" value="-0.0000235"/>
+ <property name="zcom_trunk" value="0.042224"/>
+ <property name="m_trunk" value="64.862"/>
+ <property name="ixx_trunk" value="1.688238"/>
+ <property name="iyy_trunk" value="8.665299"/>
+ <property name="izz_trunk" value="9.243560"/>
+ <property name="ixy_trunk" value="-0.028789"/>
+ <property name="ixz_trunk" value="0.277694"/>
+ <property name="iyz_trunk" value="0.003820"/>
+ <!-- Hip assembly -->
+ <property name="xcom_hipassembly" value="0.04263"/>
+ <property name="ycom_hipassembly" value="0.0"/>
+ <property name="zcom_hipassembly" value="0.16931"/>
+ <property name="m_hipassembly" value="2.93"/>
+ <property name="ixx_hipassembly" value="0.134705"/>
+ <property name="iyy_hipassembly" value="0.144171"/>
+ <property name="izz_hipassembly" value="0.011033"/>
+ <property name="ixy_hipassembly" value="0.000036"/>
+ <property name="ixz_hipassembly" value="0.022734"/>
+ <property name="iyz_hipassembly" value="0.000051"/>
+ <!-- Upper leg -->
+ <property name="xcom_upperleg" value="0.15074"/>
+ <property name="ycom_upperleg" value="0.02625"/>
+ <property name="zcom_upperleg" value="0.0"/>
+ <property name="m_upperleg" value="2.638"/>
+ <property name="ixx_upperleg" value="0.005495"/>
+ <property name="iyy_upperleg" value="0.087136"/>
+ <property name="izz_upperleg" value="0.089871"/>
+ <property name="ixy_upperleg" value="-0.007418"/>
+ <property name="ixz_upperleg" value="-0.000102"/>
+ <property name="iyz_upperleg" value="-0.000021"/>
+ <!-- Lower leg -->
+ <property name="xcom_lowerleg" value="0.1254"/>
+ <property name="ycom_lowerleg" value="0.00005"/>
+ <property name="zcom_lowerleg" value="-0.0001"/>
+ <property name="m_lowerleg" value="0.881"/>
+ <property name="ixx_lowerleg" value="0.000468"/>
+ <property name="iyy_lowerleg" value="0.026409"/>
+ <property name="izz_lowerleg" value="0.026181"/>
+ <property name="ixy_lowerleg" value="0.0"/>
+ <property name="ixz_lowerleg" value="0.0"/>
+ <property name="iyz_lowerleg" value="0.0"/>
+
+</robot>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/links/leg.urdf.xacro b/ct_models/urdf/HyQ/links/leg.urdf.xacro
new file mode 100644
index 0000000..72d2078
--- /dev/null
+++ b/ct_models/urdf/HyQ/links/leg.urdf.xacro
@@ -0,0 +1,142 @@
+<?xml version="1.0"?>
+
+<robot xmlns:xacro="http://www.ros.org/wiki/xacro">
+
+ <!-- ================================== Leg ================================== -->
+ <!-- The xacro macro xacro:hyq_leg contains: hip assembly, upper and lower leg -->
+ <xacro:macro name="hyq_leg" params="name parent *origin reflect_hip reflect_upper reflect_front">
+ <!-- Joints -->
+ <!-- Hip assembly joint -->
+ <joint name="${name}_haa_joint" type="revolute">
+ <insert_block name="origin"/>
+ <parent link="${parent}"/>
+ <child link="${name}_hipassembly"/>
+ <axis xyz="0 0 1"/>
+ <limit effort="150.0" velocity="12.0" lower="${-7*PI/18}" upper="${PI/6}"/>
+ <dynamics damping="0.1" friction="0" />
+ <safety_controller k_position="100" k_velocity="100"
+ soft_lower_limit="-10" soft_upper_limit="12.45" />
+ </joint>
+ <!-- Upper leg joint -->
+ <joint name="${name}_hfe_joint" type="revolute">
+ <origin xyz="${d_tbb} 0 0" rpy="${reflect_upper*PI/2} 0 0"/>
+ <parent link="${name}_hipassembly"/>
+ <child link="${name}_upperleg"/>
+ <axis xyz="0 0 1"/>
+ <limit effort="150.0" velocity="12.0"
+ lower="${-(1+reflect_front)*5*PI/36-(1-reflect_front)*7*PI/36}"
+ upper="${(1-reflect_front)*5*PI/36+(1+reflect_front)*7*PI/36}"/>
+ <dynamics damping="0.1" friction="0" />
+ <safety_controller k_position="100" k_velocity="100"
+ soft_lower_limit="-10" soft_upper_limit="12.45" />
+ </joint>
+ <!-- Lower leg joint -->
+ <joint name="${name}_kfe_joint" type="revolute">
+ <origin xyz="${d_p1p2} 0 0" rpy="0 0 0"/>
+ <parent link="${name}_upperleg"/>
+ <child link="${name}_lowerleg"/>
+ <axis xyz="0 0 1"/>
+ <limit effort="150.0" velocity="12.0"
+ lower="${-(1+reflect_front)*7*PI/18+(1-reflect_front)*PI/18}"
+ upper="${(1-reflect_front)*7*PI/18-(1+reflect_front)*PI/18}"/>
+ <dynamics damping="0.1" friction="0" />
+ <safety_controller k_position="100" k_velocity="100"
+ soft_lower_limit="-10" soft_upper_limit="12.45" />
+ <!-- Foot joint -->
+ </joint>
+ <joint name="${name}_foot_joint" type="fixed">
+ <origin xyz="0.35 0 0" rpy="${PI/2} 0 ${-PI/2}"/>
+ <parent link="${name}_lowerleg"/>
+ <child link="${name}_foot"/>
+ </joint>
+
+
+ <!-- Links -->
+ <!-- Hip assembly link -->
+ <link name="${name}_hipassembly">
+ <inertial>
+ <origin xyz="${xcom_hipassembly}
+ ${reflect_hip*ycom_hipassembly}
+ ${reflect_hip*zcom_hipassembly}"/>
+ <mass value="${m_hipassembly}"/>
+ <inertia ixx="${ixx_hipassembly}" iyy="${iyy_hipassembly}" izz="${izz_hipassembly}"
+ ixy="${reflect_hip*reflect_front*ixy_hipassembly}" ixz="${reflect_hip*reflect_front*ixz_hipassembly}" iyz="${iyz_hipassembly}"/>
+ </inertial>
+ <visual>
+ <origin xyz="0 0 0" rpy="${(1-reflect_hip)*PI/2} 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/leg/hipassembly.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ <collision>
+ <origin xyz="0 0 0" rpy="${(1-reflect_hip)*PI/2} 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/leg/hipassembly.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ </link>
+ <!-- Upper leg link -->
+ <link name="${name}_upperleg">
+ <inertial>
+ <origin xyz="${xcom_upperleg} ${reflect_upper*ycom_upperleg} ${zcom_upperleg}"/>
+ <mass value="${m_upperleg}"/>
+ <inertia ixx="${ixx_upperleg}" iyy="${iyy_upperleg}" izz="${izz_upperleg}"
+ ixy="${reflect_front*ixy_upperleg}" ixz="${reflect_front*ixz_upperleg}" iyz="${iyz_upperleg}"/>
+ </inertial>
+ <visual>
+ <origin xyz="0 0 0" rpy="${(1-reflect_front)*PI/2} 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/leg/upperleg.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ <collision>
+ <origin xyz="0 0 0" rpy="${(1-reflect_front)*PI/2} 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/leg/upperleg.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ </link>
+ <!-- Lower leg link -->
+ <link name="${name}_lowerleg">
+ <inertial>
+ <origin xyz="${xcom_lowerleg} ${ycom_lowerleg} ${zcom_lowerleg}"/>
+ <mass value="${m_lowerleg}"/>
+ <inertia ixx="${ixx_lowerleg}" iyy="${iyy_lowerleg}" izz="${izz_lowerleg}"
+ ixy="${ixy_lowerleg}" ixz="${ixz_lowerleg}" iyz="${iyz_lowerleg}"/>
+ </inertial>
+ <visual>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/leg/lowerleg.dae" scale="1 1 1"/>
+ </geometry>
+ <material name="white"/>
+ </visual>
+ <collision>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/leg/lowerleg.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ </link>
+ <!-- Foot link -->
+ <link name="${name}_foot">
+ <inertial>
+ <origin xyz="0 0 0"/>
+ <mass value="0.01"/>
+ <inertia ixx="0.0" iyy="0.0" izz="0.0" ixy="0.0" ixz="0.0" iyz="0.0"/>
+ </inertial>
+ <!--<visual>
+ <origin xyz="0.0 0.0 0.0" rpy="0.0 0.0 0.0"/>
+ <geometry>
+ <sphere radius="0.021"/>
+ </geometry>
+ </visual>-->
+ <collision>
+ <origin xyz="0 0 0" rpy="0 0 0"/>
+ <geometry>
+ <sphere radius="0.02175"/>
+ </geometry>
+ </collision>
+ </link>
+
+ </xacro:macro>
+
+</robot>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/links/trunk.urdf.xacro b/ct_models/urdf/HyQ/links/trunk.urdf.xacro
new file mode 100644
index 0000000..e58d0c2
--- /dev/null
+++ b/ct_models/urdf/HyQ/links/trunk.urdf.xacro
@@ -0,0 +1,49 @@
+<?xml version="1.0"?>
+<robot xmlns:xacro="http://www.ros.org/wiki/xacro">
+
+
+ <!-- ================================ Trunk ================================ -->
+ <!-- The xacro macro xacro:hyq_base contains: base and trunk -->
+ <xacro:macro name="hyq_trunk" params="name">
+ <!-- Floating-base Joint -->
+ <joint name="floating_base" type="fixed">
+ <origin xyz="0 0 0" rpy="0 0 0"/>
+ <parent link="${name}_link"/>
+ <child link="trunk"/>
+ </joint>
+
+ <!-- Links -->
+ <!-- Footprint link -->
+ <link name="${name}_link">
+ <visual>
+ <geometry>
+ <cylinder length="0.01" radius="0.01"/>
+ </geometry>
+ </visual>
+ </link>
+ <!-- Trunk link -->
+ <link name="trunk">
+ <inertial>
+ <origin xyz="${xcom_trunk} ${ycom_trunk} ${zcom_trunk}"/>
+ <mass value="${m_trunk}"/>
+ <inertia ixx="${ixx_trunk}" iyy="${iyy_trunk}" izz="${izz_trunk}"
+ ixy="${ixy_trunk}" ixz="${ixz_trunk}" iyz="${iyz_trunk}"/>
+ </inertial>
+ <visual>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/trunk/trunk.dae" scale="1 1 1"/>
+ </geometry>
+ </visual>
+ <collision>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/HyQ/meshes/trunk/trunk.dae" scale="1 1 1"/>
+ </geometry>
+ </collision>
+ </link>
+
+ <!-- Extensions -->
+ <!-- <xacro:trunk_gazebo name="trunk"/> -->
+
+ </xacro:macro>
+
+</robot>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/meshes/leg/hipassembly.dae b/ct_models/urdf/HyQ/meshes/leg/hipassembly.dae
new file mode 100644
index 0000000..2fac727
--- /dev/null
+++ b/ct_models/urdf/HyQ/meshes/leg/hipassembly.dae
@@ -0,0 +1,107 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.69.0 r60991</authoring_tool>
+ </contributor>
+ <created>2014-02-11T13:49:41</created>
+ <modified>2014-02-11T13:49:41</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="Material_003-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ <extra>
+ <technique profile="GOOGLEEARTH">
+ <double_sided>1</double_sided>
+ </technique>
+ </extra>
+ </profile_COMMON>
+ <extra><technique profile="MAX3D"><double_sided>1</double_sided></technique></extra>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="Material_003-material" name="Material_003">
+ <instance_effect url="#Material_003-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="shape0_012-mesh" name="shape0.012">
+ <mesh>
+ <source id="shape0_012-mesh-positions">
+ <float_array id="shape0_012-mesh-positions-array" count="780">0.08008176 0.03000003 0.0209999 0.06009352 0.03000003 -0.006436347 0.1001085 0.0355001 0.006494939 0.1001121 0.0355001 -0.006483733 0.06774514 0.03550004 0.01698589 0.0601089 0.03550004 0.006483674 0.06011247 0.03550004 -0.006494939 0.0601089 0.03000003 0.006483674 0.06773734 0.03000003 -0.01698011 0.06775468 0.03550004 -0.0169928 0.08011645 0.03550004 -0.02100002 0.08013921 0.03000009 -0.0209999 0.09252667 0.03000009 -0.01694881 0.09247589 0.0355001 -0.01698589 0.09246629 0.03550004 0.0169928 0.1001121 0.03000009 -0.006483733 0.1001275 0.03000009 0.006436347 0.08010452 0.03550004 0.02099996 0.09248363 0.03000009 0.01698011 0.06769436 0.03000003 0.01694881 0.09248477 -0.02999985 0.01697933 0.06769537 -0.02999991 0.01694953 0.06009322 -0.02999991 -0.006435215 0.09252572 -0.02999985 -0.01694959 0.06773638 -0.02999991 -0.01697939 0.09247595 -0.03549987 -0.01698589 0.1001279 -0.02999985 0.006435155 0.1001122 -0.03549987 -0.006483733 0.08011651 -0.03549987 -0.02100002 0.1001121 -0.02999985 -0.006483733 0.08013802 -0.02999985 -0.02099996 0.06775474 -0.03549987 -0.01699286 0.06011259 -0.03549993 -0.006494998 0.06010895 -0.02999991 0.006483674 0.06010895 -0.03549993 0.006483674 0.08010458 -0.03549987 0.02099996 0.0677452 -0.03549993 0.01698583 0.09246635 -0.03549987 0.01699274 0.08008313 -0.02999991 0.0209999 0.1001086 -0.03549987 0.006494939 -0.0219506 0.02192026 0.023 -0.02998512 0.008022189 0.023 -0.02195054 -0.02192032 0.023 -0.02998507 -0.008022248 0.023 -0.008022129 -0.02997189 0.023 0.008022189 -0.02997183 0.023 0.0219506 -0.02192026 0.02299994 -0.008022189 0.02997183 0.023 0.02998518 -0.008022189 0.02299994 0.02195054 0.02192032 0.02299994 0.02998507 0.008022248 0.02299994 0.008022129 0.02997189 0.023 0.008033275 0.02994376 0.02899998 0.02998507 0.008022248 0.02899998 0.02195054 0.02192032 0.02899998 0.02998518 -0.008022189 0.02899998 -0.008033335 0.0299437 0.02899998 0.0219506 -0.02192026 0.02899998 0.008033335 -0.0299437 0.02899998 -0.008033275 -0.02994376 0.02899998 -0.02998507 -0.008022248 0.02899998 -0.02195054 -0.02192032 0.02899998 -0.02998512 0.008022189 0.02899998 -0.0219506 0.02192026 0.02899998 -0.02503448 -0.02200001 -0.02299994 -0.02203041 0.02999997 -0.02299994 0.08011049 0.03000009 0.02299994 0.0936492 0.03000009 0.01860648 0.1020147 0.03000009 0.007106602 0.1020147 0.03000009 -0.007106661 0.08011049 0.03000009 -0.023 -0.02203041 0.02999997 0.023 0.09364914 0.03000009 -0.01860648 0.08011049 0.02200007 -0.023 0.1020147 0.02200007 0.007106602 -0.02503454 0.02199995 -0.02299994 -0.02503454 0.02699995 -0.02299994 -0.02503454 0.02199995 0.023 -0.02503454 0.02699995 0.023 0.08011049 0.02200007 0.02299994 0.0936492 0.02200007 -0.01860648 0.0936492 0.02200007 0.01860648 0.1020147 0.02200007 -0.007106661 -0.02203035 -0.02999997 0.023 0.08011054 -0.02999991 0.02299994 -0.02203035 -0.02999997 -0.02299994 -0.02503448 -0.02700001 0.023 -0.02503448 -0.02200001 0.023 0.1020148 -0.02999985 0.007106602 0.09364926 -0.02999985 0.01860648 0.09364926 -0.02199989 0.01860648 0.1020148 -0.02999985 -0.007106661 0.1020148 -0.02199983 -0.007106661 0.09364926 -0.02999985 -0.01860648 0.08011054 -0.02999991 -0.023 0.0936492 -0.02199989 -0.01860648 0.08011054 -0.02199989 0.02299994 0.1020148 -0.02199983 0.007106602 -0.02503448 -0.02700001 -0.02299994 0.08011054 -0.02199989 -0.023 0.0350483 0.03000003 -0.023 0.0350483 0.03000003 0.02299994 0.0350483 0.02200001 -0.023 0.0350483 0.02200001 0.02299994 0.03504836 -0.02999991 -0.023 0.03504836 -0.02999991 0.02299994 0.03504836 -0.02199995 -0.023 0.03504836 -0.02199995 0.02299994 0.06008285 0.03000003 0.02299994 0.06008285 0.03000003 -0.023 0.06008285 0.02200007 -0.023 0.06008285 0.02200007 0.02299994 0.06008291 -0.02999991 -0.023 0.06008291 -0.02999991 0.02299994 0.06008291 -0.02199989 0.02299994 0.06008291 -0.02199989 -0.023 0.08010876 -0.03549987 0.006489276 0.08011239 -0.03549987 -0.006489336 0.08011227 0.03550004 -0.006489336 0.0801087 0.03550004 0.006489336 -0.008011043 0.02999997 -0.023 -0.008010983 -0.02999997 -0.023 -0.008011043 0.02199995 -0.023 -0.008010983 -0.02200001 -0.023 0.008011043 -0.02999997 -0.023 0.008010983 0.02999997 -0.023 0.008011043 -0.02199995 -0.023 0.008010983 0.02200001 -0.023 -0.02503448 -0.01699948 0.023 -0.02503454 0.0169714 0.023 -0.02503454 0.0169714 0.02899998 -0.02503448 -0.01699948 0.02899998 0 -0.01499998 0.02899998 0.008753538 -0.01218956 0.02899998 -0.008753538 0.01218956 0.02899998 0 0.01499998 0.02899998 -0.01427316 0.004673063 0.02899998 -0.008762717 -0.01218301 0.02900004 0 0.01499998 0.305 0.008726179 -0.01220917 0.305 0.01427233 -0.004675745 0.305 0 -0.01499998 0.305 -0.00872606 0.01220917 0.305 -0.008723616 -0.0122109 0.305 -0.01427131 -0.004678428 0.305 -0.01427221 0.004675745 0.305 -0.01427656 -0.004662752 0.02899998 0.008723735 0.0122109 0.305 0.008762717 0.01218301 0.02899998 0.01427656 0.004662752 0.02899998 0.01427316 -0.004673063 0.02899998 0.01427143 0.004678428 0.305 0 -0.00999999 0.35075 -0.01001369 -2.417e-7 0.35075 0 0.00999999 0.35075 0.007050693 0.007101058 0.35075 0.01001387 2.417e-7 0.35075 0.007050991 -0.00710076 0.35075 0 -0.02599996 0.34 -0.007050573 -0.007101058 0.35075 -0.007050871 0.00710076 0.35075 0 0.02599996 0.34 0.0153039 0.02103412 0.34 0 0.02599996 0.335 0.02476167 0.008034169 0.34 0.02476173 -0.00803411 0.34 0.01530396 -0.02103406 0.34 0.02476173 -0.00803411 0.335 0.01530396 -0.02103406 0.335 -0.01530379 -0.02103412 0.34 -0.01530385 0.02103406 0.34 -0.02476161 0.00803411 0.34 -0.02476155 -0.008034169 0.335 -0.02476155 -0.008034169 0.34 -0.02476161 0.00803411 0.335 0 -0.02599996 0.335 -0.01530379 -0.02103412 0.335 -0.01530385 0.02103406 0.335 0.02476167 0.008034169 0.335 0.0153039 0.02103412 0.335 0 0.02999997 0.335 0 0.02999997 0.305 0 -0.02999997 0.335 -0.02503448 0.00803411 0.305 0 -0.02999997 0.305 -0.02503442 -0.008034169 0.335 -0.02503442 -0.008034169 0.305 -0.02503448 0.00803411 0.335 0 -0.00999999 0.34 -0.01001369 -2.417e-7 0.34 0 0.00999999 0.34 0.007050693 0.007101058 0.34 0.01001387 2.417e-7 0.34 0.007050991 -0.00710076 0.34 -0.007050573 -0.007101058 0.34 -0.007050871 0.00710076 0.34 -0.02503442 -0.02200001 0.335 -0.02503448 0.02199995 0.305 -0.02503442 -0.02200001 0.305 -0.02503448 0.02199995 0.335 0.02775549 0.02200001 0.335 0.04506218 0.02200001 0.31575 0.04874455 0.02200001 0.317869 0.04774707 0.02200001 0.310366 0.05415064 0.02200001 0.315802 0.04874616 0.02200001 0.322128 0.0413798 0.02200001 0.322131 0.04774713 0.02200001 0.329634 0.04506218 0.02200001 0.32425 0.02909797 0.02200001 0.334817 0.0413782 0.02200001 0.317872 0.02775549 0.02200001 0.305 -0.02503448 0.02699995 0.305 0.02843296 0.02200001 0.334954 -0.02203035 0.02999997 0.335 0.02909797 0.02200001 0.305183 0.02909797 0.03000003 0.334817 0.02843296 0.03000003 0.334954 0.05415064 0.02200001 0.324198 0.04774707 0.03000003 0.329634 0.05415064 0.03000003 0.315802 0.02843296 0.03000003 0.305046 0.02843296 0.02200001 0.305046 0.04774707 0.03000003 0.310366 0.02909797 0.03000003 0.305183 0.05415064 0.03000003 0.324198 0.02775549 0.03000003 0.335 -0.02203035 0.02999997 0.305 0.02775549 0.03000003 0.305 -0.02503448 0.02699995 0.335 0.02775555 -0.02199995 0.335 0.04874461 -0.02199989 0.322131 0.04506224 -0.02199989 0.32425 0.04774713 -0.02199989 0.329634 0.04506224 -0.02199989 0.31575 0.04874622 -0.02199989 0.317872 0.0541507 -0.02199989 0.324198 0.04137986 -0.02199995 0.317869 0.04137825 -0.02199995 0.322128 0.02909803 -0.02199995 0.305183 0.02775555 -0.02999997 0.335 0.02775555 -0.02199995 0.305 0.02843302 -0.02999997 0.334954 -0.02503442 -0.02700001 0.335 -0.02503442 -0.02700001 0.305 -0.02203029 -0.02999997 0.305 0.02909803 -0.02199995 0.334817 0.02843302 -0.02199995 0.305046 0.02909803 -0.02999997 0.305183 0.04774713 -0.02199989 0.310366 0.0541507 -0.02199989 0.315802 0.04774713 -0.02999991 0.310366 0.04774713 -0.02999991 0.329634 0.0541507 -0.02999991 0.324198 0.02843302 -0.02199995 0.334954 0.02909803 -0.02999997 0.334817 0.0541507 -0.02999991 0.315802 -0.02203029 -0.02999997 0.335 0.02775555 -0.02999997 0.305 0.02843302 -0.02999997 0.305046</float_array>
+ <technique_common>
+ <accessor source="#shape0_012-mesh-positions-array" count="260" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shape0_012-mesh-normals">
+ <float_array id="shape0_012-mesh-normals-array" count="1560">-0.9999999 -2.0319e-6 -2.78707e-4 -0.8087934 0.003505885 0.5880825 -0.8096753 -1.84232e-6 0.5868782 -0.8084645 0.001195847 -0.5885437 -0.9999934 0.003458857 0.00118792 -0.8096222 -0.003464102 -0.5869412 -0.3083633 -0.001218318 -0.9512678 0.3088985 0.001265108 -0.9510942 -0.3083338 -0.001291751 -0.9512773 0.8087934 0.003508269 -0.5880824 0.3108305 -0.003532052 -0.9504588 0.9999999 0 2.7842e-4 0.8096754 2.48442e-7 -0.5868781 0.8084644 0.001196622 0.5885438 0.9999934 0.003458857 -0.001187324 0.8096224 -0.003464341 0.586941 0.3083633 -0.001218199 0.9512678 -0.3088988 0.001263439 0.9510941 0.3083344 -0.001290082 0.9512772 -0.3108305 -0.003533244 0.9504587 0.8087984 2.44023e-6 -0.588086 0.9999938 -0.003506839 2.78991e-4 0.9999993 2.7096e-6 -0.0012151 0.3088986 -0.001194 -0.9510942 0.8096537 -0.003454327 -0.5868977 0.310774 0.003463029 -0.9504776 -0.3083633 0.001218318 -0.9512678 -0.8084648 -0.001265108 -0.5885431 -0.3083927 0.001291453 -0.9512583 -0.9999938 -0.003512203 -2.7928e-4 -0.8096569 0.003532588 -0.586893 -0.808798 -1.34459e-6 0.5880866 -0.9999992 -1.35516e-6 0.001215398 -0.3088989 -0.001195847 0.9510942 -0.8096538 -0.003460347 0.5868974 -0.3107737 0.00345999 0.9504777 0.3083633 0.001218199 0.9512678 0.8084646 -0.001263499 0.5885435 0.3083927 0.001291275 0.9512583 0.809657 0.003536403 0.5868926 0.8657431 0.5004885 -2.68762e-7 0.8657423 -0.5004901 -2.68762e-7 -0.499452 -0.8663359 0.003130257 3.4833e-6 -0.999989 0.004683852 0.5004657 -0.8657564 0 -3.48221e-6 0.999989 0.004683852 0 0 1 -0.5004657 0.8657564 1.55365e-7 0 0 1 -1 -5.80462e-6 6.20882e-7 0.4994519 0.8663359 0.003130018 0.3086687 2.8747e-7 0.9511697 0 0 -1 -1.86007e-7 0 -1 0.3086682 2.8747e-7 -0.9511698 0.8086683 7.53131e-7 -0.5882651 0.8086686 1.50626e-6 0.5882646 1.42525e-7 0 1 -2.75567e-7 0 -1 0 0 -1 -1 -1.11759e-6 2.02461e-7 2.23209e-7 0 1 -0.7066194 0.7075939 1.3971e-7 0 0 1 0.8086687 7.53132e-7 0.5882642 1.10227e-6 -1 0 0.8086684 1.50626e-6 -0.5882647 0.3086687 2.8747e-7 0.9511696 0.3086681 2.8747e-7 -0.9511697 -1.86007e-7 0 -1 0 0 1 -0.706617 -0.7075963 1.44367e-7 0 0 1 -1 -1.11759e-6 2.02461e-7 1 1.86265e-6 0 1 1.86265e-6 0 2.06869e-7 0 1 -2.75567e-7 0 -1 -1.10227e-6 1 0 1.10064e-6 -1 0 1.11604e-6 -1 0 1.11328e-6 -1 0 -1.11604e-6 1 0 -1.10064e-6 1 0 -1.11328e-6 1 0 -3.21072e-7 -1 4.66094e-6 -5.76537e-7 -1 1.22926e-6 -9.78991e-7 -1 0 1.79722e-6 -1 4.97532e-7 2.27233e-6 -1 2.76268e-6 -2.60316e-6 1 -3.86096e-6 -4.58502e-6 1 -2.44065e-6 -1.95799e-6 1 0 -1.7955e-6 1 4.9628e-7 0 1 -2.79403e-6 -1.48806e-7 0 -1 2.23209e-7 0 1 1.19045e-6 -1 0 0 0 1 -1.19045e-6 1 0 -1.48806e-7 0 -1 -1.19045e-6 1 -3.40205e-7 -6.75349e-7 1 -2.33859e-7 -9.66234e-7 1 0 -7.59355e-7 1 -3.39526e-7 -1.11605e-6 1 -2.77783e-6 -1.94771e-6 1 0 -1.19045e-6 1 0 1.02304e-6 -1 4.64248e-6 2.16942e-6 -1 3.35986e-7 1.22495e-6 -1 0 1.02304e-6 -1 2.77983e-6 1.19045e-6 -1 3.36596e-7 1.18921e-6 -1 0 1.19045e-6 -1 0 9.31412e-7 -1 -2.86771e-7 1.1176e-6 -1 0 7.37694e-7 -1 -5.13244e-7 7.45212e-7 -1 -5.2209e-7 1.37229e-6 -1 -5.13063e-7 1.30403e-6 -1 -5.93459e-7 9.31422e-7 -1 -3.22532e-7 7.69517e-7 -1 -5.13235e-7 1.34046e-6 -1 -5.13072e-7 1.11767e-6 -1 -2.5095e-7 -9.31331e-7 1 0 -1.11768e-6 1 2.8672e-7 -1.11763e-6 1 0 -7.69516e-7 1 5.13235e-7 -1.34046e-6 1 5.13071e-7 -9.3134e-7 1 0 -9.3154e-7 1 7.41308e-7 -7.37695e-7 1 5.13244e-7 -1.0709e-6 1 5.13149e-7 -1.11773e-6 1 4.57995e-7 -2.65725e-7 0 -1 2.06869e-7 0 1 -3.48265e-6 0.9999998 6.10867e-4 1.0463e-6 -0.9999998 6.11717e-4 -2.65725e-7 0 -1 1.42211e-7 0 1 0.002007007 -0.9999979 6.11351e-4 0 0 -1 1.42211e-7 0 1 0 0 -1 2.65942e-7 0 1 2.65942e-7 0 1 1.42525e-7 0 1 -1.1431e-6 -1.74173e-6 1 0.002007663 0.9999978 6.12201e-4 3.4779e-7 1.05947e-6 1 5.48572e-7 9.51538e-7 1 2.5256e-7 -2.20239e-7 1 0 0 1 -3.84051e-7 1.79577e-6 1 1 5.92071e-6 -3.10441e-7 0 0 1 -0.8473461 -0.5310411 2.61018e-7 1 1.10065e-6 -2.42954e-7 -3.76253e-7 0 -1 -2.75567e-7 0 -1 0 0 -1 -2.18832e-7 0 -1 -1 -1.11747e-6 2.02461e-7 -1 -1.15144e-6 1.98067e-7 -1 -1.11125e-6 2.02461e-7 -0.8750344 0.4840607 0 -0.8756763 -0.4828986 5.43691e-7 -0.8486993 0.5288757 2.59955e-7 -0.8051853 -0.5930233 -1.83035e-5 -0.3060476 -0.9520162 0 -1 -9.74707e-5 3.45968e-6 -0.8060197 0.5918886 3.81079e-5 -0.305691 0.9521307 0 0.3060475 0.9520162 0 1 9.74706e-5 3.07163e-6 0.8053007 -0.5928667 -3.36897e-6 0.8064541 0.5912967 5.41249e-5 0.3086422 0.9511782 0 -0.3086444 0.9511775 0 -0.3086444 0.9511775 0 0.8086391 0.5883052 0 0.3086422 0.9511781 0 1 1.27512e-6 0 0.8086391 0.5883052 0 0.8086403 -0.5883033 -3.01242e-7 1 1.1592e-6 -3.72529e-7 0.3086444 -0.9511774 0 0.8086403 -0.5883034 -3.01242e-7 -0.3086422 -0.9511782 0 0.3086444 -0.9511774 0 -0.8086391 -0.5883052 1.50621e-7 -0.3086422 -0.9511782 0 -1 -1.27512e-6 3.72529e-7 -0.8086389 -0.5883052 3.62072e-7 -0.8086403 0.5883034 0 -1 -1.1592e-6 0 -0.8086403 0.5883034 0 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 1 0 0 1 0.305691 -0.9521307 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 -1.14085e-6 1 0 0 0 1 1.01459e-6 -1 0 0 0 1 0 0 1 -0.3802666 -0.924877 0 0.9228698 0.3851123 -2.39858e-7 -0.9228698 -0.3851122 2.39858e-7 0.3802666 0.9248769 0 -0.9228882 0.3850681 1.99885e-7 0.3802897 -0.9248674 0 -0.3802897 0.9248674 0 0.9228881 -0.3850682 -1.19931e-7 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1.4885e-6 -1 0 7.4609e-7 -1 1.49066e-7 1.48796e-6 -1 0 7.46299e-7 -1 -1.48818e-7 1.35438e-6 -1 2.83441e-7 1.22154e-6 -1 0 1.06161e-6 -1 0 1.35394e-6 -1 -2.82777e-7 -0.7066194 0.7075939 1.71377e-7 0 0 1 2.80089e-6 -1 0 0.2018151 2.81932e-7 -0.9794237 0 0 1 0 0 1 0 0 1 -1 -1.86265e-6 2.48353e-7 0.2017735 2.81874e-7 0.9794322 0 0 1 0 0 1 0.06776905 0 0.9977011 0 1 0 0.647166 9.04081e-7 0.7623492 6.89095e-7 -1 0 1 4.65661e-7 0 0.6471636 3.01359e-7 -0.762351 0.2677717 3.74073e-7 -0.9634824 -2.74956e-6 -1 0 0.06772536 0 -0.997704 0.2677717 3.74073e-7 0.9634824 0 1 0 -0.706617 -0.7075963 1.28533e-7 -9.40768e-7 1 1.23184e-7 -1.1371e-6 1 2.21089e-7 -1.40823e-6 1 -1.88526e-7 -1.07397e-6 1 0 -9.4037e-7 1 -1.22986e-7 -1.07423e-6 1 0 -1.40864e-6 1 1.89146e-7 -1.1371e-6 1 -2.21089e-7 1.45439e-6 -1 0 1.09866e-6 -1 0 -1.2139e-6 1 0 0 0 1 0 0 1 -1 -1.20034e-6 1.86264e-7 -1.09914e-6 1 0 1 1.05832e-6 -1.86265e-7 1.20796e-6 -1 0 0 0 1 0 1 0 0.2017735 2.81874e-7 0.9794322 0 0 1 0 0 1 -1 -1.04328e-6 1.24176e-7 -1 -7.45058e-7 1.86265e-7 -1 3.53313e-5 -3.76113e-4 0.2018156 3.28922e-7 -0.9794237 0 0 1 -1 -1.20034e-6 1.86265e-7 0.4991288 5.49368e-7 -0.8665278 0.2677717 3.74073e-7 -0.9634824 -0.4991292 -5.49369e-7 -0.8665276 0.6471642 1.20544e-6 -0.7623507 -1.03364e-6 1 0 1 4.65661e-7 0 1 -3.5416e-5 -3.76988e-4 0.2677718 2.49382e-7 0.9634824 0 1 0 0.4991236 5.49362e-7 0.8665308 0 -1 0 -0.499124 -5.49363e-7 0.8665306 0.06772536 0 -0.997704 0.6471662 3.0136e-7 0.762349 0 -1 0 1.22154e-6 -1 0 -1.45439e-6 1 0 -1.09866e-6 1 0 0.06776905 0 0.9977011 0 0 -1 0 0 -1 -2.03967e-7 2.38004e-6 1 -7.11297e-7 0 1 2.01946e-6 8.99414e-7 1 -3.84e-7 -6.66076e-7 1 3.47803e-7 -1.05947e-6 1 5.48572e-7 -9.51543e-7 1 9.54403e-7 -5.27967e-7 1 -1.15838e-6 -1.37962e-6 1 0.8657432 0.5004885 0 0.8657422 -0.5004902 0 -0.5004655 -0.8657565 1.50752e-7 5.91411e-6 -0.9999889 0.004690349 0.4994503 -0.866337 0.003136038 -5.91085e-6 0.9999891 0.004690349 -0.4994502 0.8663369 0.003136277 -1 -6.0368e-6 0 0.5004655 0.8657565 -1.50752e-7 0.3086686 2.8747e-7 0.9511696 -1.86008e-7 0 -1 0.3086681 2.8747e-7 -0.9511697 0.8086684 1.50626e-6 -0.5882647 0.8086687 7.53132e-7 0.5882643 -2.75567e-7 0 -1 -1 -1.11759e-6 2.02461e-7 2.23209e-7 0 1 -0.7066194 0.7075939 1.43063e-7 0 0 1 0.8086684 1.50626e-6 0.5882646 -0.001040041 -0.9999992 6.11969e-4 0.8086683 7.53131e-7 -0.5882651 0.3086687 2.8747e-7 0.9511696 0.3086682 2.8747e-7 -0.9511697 -1.86008e-7 0 -1 0 0 1 -0.7066172 -0.707596 0 0 0 1 -1 -1.11759e-6 2.02461e-7 1 1.86265e-6 0 1 1.86265e-6 0 -2.75567e-7 0 -1 -0.001040816 0.9999993 6.11119e-4 1.10064e-6 -1 0 1.11604e-6 -1 0 1.11328e-6 -1 0 -1.11604e-6 1 0 -1.10064e-6 1 0 -1.11328e-6 1 0 2.3062e-7 -1 3.52889e-6 -2.02331e-6 -1 2.00057e-6 2.12911e-6 -1 -4.35126e-7 3.11976e-6 -1 1.2015e-6 2.12278e-6 -1 1.91503e-6 -2.73656e-6 1 -4.6172e-6 -4.15017e-6 1 -2.20917e-6 -5.09051e-6 1 4.38544e-7 -3.80857e-7 1 -2.57901e-7 -1.01514e-6 1 -6.87413e-7 -1.48806e-7 0 -1 2.23209e-7 0 1 1.19045e-6 -1 0 0 0 1 -1.19045e-6 1 0 -1.48806e-7 0 -1 -1.11605e-6 1 -4.64047e-6 -1.47713e-6 1 4.34254e-7 -1.31266e-6 1 -8.06243e-7 1.34843e-6 -1 1.37964e-6 6.762e-7 -1 -6.88494e-7 1.70052e-6 -1 -4.34605e-7 7.45065e-7 -1 0 1.30394e-6 -1 -2.86667e-7 -1.11768e-6 1 2.86719e-7 -9.31331e-7 1 0 -2.18832e-7 0 -1 -1.04622e-6 0.9999998 6.11717e-4 3.48287e-6 -0.9999998 6.10867e-4 -2.18832e-7 0 -1 1.0629e-6 -1 0 0 0 -1 0 0 -1 -3.84001e-7 6.6608e-7 1 -1.0629e-6 1 0 3.48056e-6 -8.34842e-6 1 -3.87668e-6 1.61593e-6 1 1.06695e-6 0 1 1 5.80462e-6 0 0 0 1 -0.8473461 -0.5310412 2.63051e-7 1 1.18532e-6 -1.61969e-7 -3.76244e-7 0 -1 -2.75567e-7 0 -1 0 0 -1 -2.18832e-7 0 -1 -1 -1.14299e-6 2.05235e-7 -0.8750346 0.4840604 5.43293e-7 -0.8756762 -0.4828987 2.71846e-7 -0.8486994 0.5288755 5.26942e-7 -0.806454 -0.5912969 5.44378e-5 -0.3045279 -0.9525035 -5.31598e-5 -0.9999999 3.63516e-4 1.9079e-5 -0.8053005 0.5928667 -3.05728e-6 -0.3046215 0.9524736 -3.73511e-5 0.3045279 0.9525034 -5.3278e-5 0.9999999 -3.63416e-4 1.86876e-5 0.8060198 -0.5918886 3.77887e-5 0.8051854 0.5930233 -1.86187e-5 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0.3046214 -0.9524736 -3.74719e-5 0 0 1 0 0 1 0 0 1 -1.14085e-6 1 0 0 0 1 1.01459e-6 -1 0 -0.3802666 -0.924877 0 0.9228698 0.3851122 -1.59905e-7 -0.9228698 -0.3851123 1.19929e-7 0.3802666 0.924877 0 -0.9228882 0.3850681 2.39862e-7 0.3802897 -0.9248674 0 -0.3802897 0.9248674 0 0.9228882 -0.3850681 -2.39862e-7 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1.06216e-6 -1 0 -0.7066193 0.7075941 1.31618e-7 0 0 1 2.80088e-6 -1 0 0.2018156 3.28922e-7 -0.9794237 -1 -1.49012e-6 1.86265e-7 0.2017735 2.81874e-7 0.9794322 0.06776905 0 0.9977011 0 1 0 0.6471664 3.0136e-7 0.7623488 6.894e-7 -1 0 1 4.65661e-7 0 0.6471642 9.04078e-7 -0.7623507 0.2677717 3.74073e-7 -0.9634824 -2.74956e-6 -1 0 0.06772536 0 -0.997704 0.2677717 3.74073e-7 0.9634823 0 1 0 -0.706617 -0.7075963 1.31618e-7 1.45439e-6 -1 0 1.09866e-6 -1 0 -1.21327e-6 1 0 0 0 1 -1 -1.20034e-6 1.86265e-7 -1.09914e-6 1 0 1 1.10065e-6 -2.48353e-7 1.20796e-6 -1 0 0 0 1 0 1 0 0.2017735 2.81874e-7 0.9794322 -1 -1.1592e-6 1.86265e-7 -1 -7.45058e-7 1.86265e-7 -0.9999999 -3.75329e-5 3.76116e-4 0.2018151 2.81932e-7 -0.9794237 0 0 1 -1 -1.06697e-6 1.24176e-7 0.498755 -4.11319e-5 -0.866743 0.2677718 4.98764e-7 -0.9634823 -0.498755 4.11741e-5 -0.866743 0.6471635 3.01359e-7 -0.7623513 -1.0341e-6 1 0 1 4.65661e-7 0 0.9999999 3.76176e-5 3.76991e-4 0.2677717 3.74073e-7 0.9634824 0 1 0 0.498755 4.16427e-5 0.866743 0 -1 0 -0.498755 -4.16849e-5 0.866743 0.06772536 0 -0.997704 0.6471659 6.0272e-7 0.7623491 0 -1 0 -1.45439e-6 1 0 -1.09866e-6 1 0 0.06776905 0 0.9977011 0 0 -1 2.3753e-7 1.30726e-7 1 7.39805e-7 -1.7959e-6 1 1.13174e-6 -3.62854e-6 1 -3.0363e-6 7.74672e-6 1 1.58782e-6 2.34487e-6 1 1.16105e-6 -3.47143e-7 1</float_array>
+ <technique_common>
+ <accessor source="#shape0_012-mesh-normals-array" count="520" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shape0_012-mesh-vertices">
+ <input semantic="POSITION" source="#shape0_012-mesh-positions"/>
+ </vertices>
+ <polylist material="Material_003-material" count="520">
+ <input semantic="VERTEX" source="#shape0_012-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#shape0_012-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>7 0 5 0 6 0 19 1 4 1 5 1 7 2 19 2 5 2 8 3 6 3 9 3 1 4 7 4 6 4 8 5 1 5 6 5 8 6 9 6 10 6 11 7 10 7 13 7 11 8 8 8 10 8 12 9 13 9 3 9 12 10 11 10 13 10 15 11 3 11 2 11 12 12 3 12 15 12 18 13 2 13 14 13 16 14 15 14 2 14 18 15 16 15 2 15 18 16 14 16 17 16 0 17 17 17 4 17 0 18 18 18 17 18 19 19 0 19 4 19 29 20 27 20 25 20 26 21 39 21 27 21 29 22 26 22 27 22 30 23 25 23 28 23 23 24 29 24 25 24 30 25 23 25 25 25 30 26 28 26 31 26 24 27 31 27 32 27 24 28 30 28 31 28 22 29 32 29 34 29 22 30 24 30 32 30 33 31 34 31 36 31 22 32 34 32 33 32 38 33 36 33 35 33 21 34 33 34 36 34 38 35 21 35 36 35 38 36 35 36 37 36 20 37 37 37 39 37 20 38 38 38 37 38 26 39 20 39 39 39 49 40 54 40 50 40 48 41 55 41 46 41 44 42 59 42 61 42 44 43 45 43 59 43 46 44 57 44 45 44 51 45 47 45 52 45 40 46 77 46 129 46 47 47 40 47 63 47 128 48 87 48 42 48 43 49 60 49 41 49 51 50 52 50 54 50 81 51 67 51 79 51 76 52 65 52 75 52 110 53 109 53 73 53 73 54 70 54 80 54 80 55 72 55 82 55 74 56 68 56 81 56 107 57 48 57 46 57 127 58 125 58 102 58 85 59 98 59 64 59 76 60 75 60 78 60 114 61 107 61 113 61 78 62 71 62 76 62 78 63 77 63 71 63 90 64 89 64 97 64 104 65 105 65 124 65 92 66 91 66 95 66 96 67 84 67 90 67 95 68 93 68 99 68 112 69 115 69 94 69 108 70 111 70 66 70 98 71 85 71 86 71 87 72 86 72 83 72 98 73 86 73 64 73 82 74 69 74 74 74 97 75 88 75 92 75 45 76 105 76 46 76 124 77 126 77 104 77 101 78 100 78 125 78 80 79 81 79 73 79 111 80 110 80 79 80 81 81 80 81 74 81 115 82 114 82 99 82 99 83 96 83 95 83 97 84 92 84 90 84 30 85 94 85 23 85 91 86 29 86 93 86 29 87 91 87 88 87 26 88 88 88 89 88 84 89 38 89 89 89 67 90 18 90 0 90 18 91 67 91 16 91 69 92 15 92 68 92 15 93 69 93 72 93 70 94 11 94 12 94 102 95 100 95 110 95 101 96 103 96 108 96 103 97 102 97 111 97 96 98 114 98 84 98 106 99 107 99 115 99 104 100 106 100 112 100 108 101 7 101 101 101 19 102 108 102 0 102 101 103 7 103 100 103 108 104 19 104 7 104 11 105 70 105 109 105 1 106 8 106 109 106 1 107 109 107 100 107 94 108 30 108 112 108 112 109 24 109 22 109 33 110 21 110 113 110 38 111 84 111 113 111 112 112 22 112 104 112 33 113 105 113 104 113 33 114 113 114 105 114 116 115 34 115 32 115 39 116 116 116 117 116 117 117 31 117 28 117 31 118 117 118 32 118 117 119 28 119 25 119 27 120 117 120 25 120 116 121 36 121 34 121 36 122 116 122 35 122 116 123 37 123 35 123 116 124 39 124 37 124 118 125 6 125 119 125 3 126 118 126 2 126 119 127 5 127 4 127 17 128 119 128 4 128 119 129 17 129 14 129 119 130 14 130 2 130 118 131 9 131 6 131 9 132 118 132 10 132 118 133 13 133 10 133 13 134 118 134 3 134 75 135 65 135 120 135 101 136 51 136 49 136 51 137 125 137 47 137 124 138 45 138 121 138 85 139 64 139 121 139 49 140 103 140 101 140 121 141 44 141 83 141 121 142 123 142 124 142 46 143 105 143 107 143 122 144 120 144 127 144 44 145 42 145 83 145 47 146 71 146 40 146 103 147 49 147 50 147 57 148 133 148 132 148 47 149 120 149 71 149 132 150 59 150 58 150 59 151 132 151 61 151 131 152 61 152 146 152 60 153 131 153 146 153 146 154 136 154 60 154 55 155 48 155 53 155 50 156 48 156 103 156 128 157 42 157 131 157 106 158 102 158 107 158 43 159 41 159 128 159 126 160 127 160 106 160 127 161 126 161 122 161 122 162 123 162 75 162 128 163 64 163 87 163 129 164 75 164 128 164 75 165 129 165 77 165 62 166 130 166 41 166 60 167 43 167 131 167 40 168 129 168 63 168 144 169 146 169 143 169 132 170 141 170 137 170 145 171 136 171 144 171 134 172 136 172 142 172 138 173 135 173 134 173 135 174 138 174 148 174 151 175 140 175 150 175 140 176 139 176 150 176 149 177 148 177 147 177 163 178 161 178 162 178 177 179 170 179 161 179 163 180 177 180 161 180 179 181 162 181 164 181 179 182 163 182 162 182 178 183 164 183 165 183 179 184 164 184 178 184 167 185 165 185 166 185 178 186 165 186 167 186 168 187 166 187 158 187 167 188 166 188 168 188 175 189 158 189 169 189 168 190 158 190 175 190 176 191 169 191 173 191 176 192 175 192 169 192 172 193 173 193 171 193 172 194 176 194 173 194 174 195 171 195 170 195 174 196 172 196 171 196 177 197 174 197 170 197 142 198 197 198 212 198 145 199 183 199 197 199 151 200 211 200 241 200 228 201 147 201 138 201 211 202 147 202 228 202 211 203 151 203 147 203 140 204 241 204 139 204 258 205 139 205 241 205 184 206 141 206 258 206 245 207 143 207 141 207 244 208 143 208 245 208 198 209 143 209 244 209 143 210 198 210 144 210 144 211 186 211 183 211 160 212 153 212 156 212 156 213 154 213 160 213 141 214 132 214 133 214 200 215 178 215 230 215 168 216 230 216 167 216 168 217 240 217 230 217 175 218 182 218 240 218 214 219 177 219 163 219 226 220 228 220 180 220 176 221 257 221 175 221 257 222 245 222 182 222 229 223 177 223 214 223 199 224 177 224 229 224 159 225 194 225 152 225 156 226 192 226 155 226 153 227 189 227 159 227 155 228 191 228 154 228 160 229 195 229 153 229 152 230 188 230 157 230 154 231 190 231 160 231 157 232 193 232 156 232 189 233 171 233 173 233 171 234 189 234 170 234 170 235 195 235 161 235 191 236 162 236 161 236 192 237 164 237 162 237 192 238 165 238 164 238 165 239 192 239 166 239 166 240 193 240 158 240 194 241 169 241 158 241 189 242 173 242 169 242 203 243 202 243 201 243 203 244 204 244 202 244 207 245 208 245 205 245 207 246 205 246 218 246 209 247 206 247 208 247 207 248 209 248 208 248 209 249 215 249 206 249 215 250 201 250 210 250 229 251 214 251 212 251 177 252 199 252 187 252 215 253 209 253 222 253 224 254 215 254 221 254 176 255 243 255 257 255 243 256 176 256 196 256 155 257 154 257 156 257 212 258 197 258 229 258 217 259 213 259 216 259 156 260 152 260 157 260 156 261 159 261 152 261 242 262 254 262 240 262 228 263 226 263 221 263 219 264 207 264 225 264 204 265 218 265 202 265 225 266 218 266 220 266 220 267 204 267 223 267 223 268 203 268 224 268 200 269 211 269 222 269 221 270 222 270 228 270 216 271 209 271 219 271 216 272 224 272 221 272 244 273 245 273 243 273 233 274 231 274 232 274 246 275 233 275 232 275 246 276 232 276 238 276 233 277 236 277 231 277 249 278 234 278 235 278 249 279 235 279 250 279 239 280 237 280 234 280 249 281 239 281 234 281 251 282 256 282 252 282 248 283 251 283 255 283 238 284 237 284 246 284 174 285 187 285 172 285 156 286 153 286 159 286 186 287 198 287 185 287 180 288 181 288 214 288 211 289 200 289 241 289 182 290 184 290 240 290 180 291 163 291 226 291 246 292 239 292 247 292 255 293 246 293 242 293 179 294 200 294 226 294 200 295 179 295 178 295 183 296 186 296 187 296 244 297 243 297 198 297 238 298 206 298 237 298 259 299 247 299 248 299 196 300 176 300 185 300 197 301 183 301 199 301 234 302 201 302 235 302 248 303 239 303 251 303 201 304 234 304 210 304 251 305 249 305 256 305 236 306 250 306 231 306 256 307 250 307 253 307 205 308 231 308 202 308 252 309 233 309 255 309 241 310 230 310 247 310 208 311 232 311 205 311 240 312 258 312 259 312 232 313 208 313 238 313 258 314 241 314 259 314 253 315 236 315 252 315 248 316 255 316 259 316 215 317 203 317 201 317 225 318 220 318 219 318 219 319 223 319 216 319 226 320 200 320 217 320 142 321 212 321 227 321 142 322 227 322 138 322 55 323 150 323 133 323 55 324 53 324 150 324 54 325 148 325 53 325 52 326 135 326 54 326 135 327 52 327 56 327 135 328 56 328 63 328 62 329 136 329 130 329 134 330 63 330 136 330 54 331 53 331 50 331 55 332 57 332 46 332 42 333 44 333 61 333 45 334 58 334 59 334 57 335 58 335 45 335 47 336 56 336 52 336 56 337 47 337 63 337 60 338 62 338 41 338 49 339 51 339 54 339 67 340 66 340 79 340 109 341 70 341 73 341 70 342 72 342 80 342 72 343 69 343 82 343 68 344 67 344 81 344 125 345 100 345 102 345 75 346 77 346 78 346 107 347 105 347 113 347 71 348 65 348 76 348 77 349 40 349 71 349 89 350 88 350 97 350 105 351 45 351 124 351 91 352 93 352 95 352 84 353 89 353 90 353 93 354 94 354 99 354 115 355 99 355 94 355 111 356 79 356 66 356 85 357 83 357 86 357 42 358 87 358 83 358 86 359 87 359 64 359 69 360 68 360 74 360 88 361 91 361 92 361 126 362 106 362 104 362 51 363 101 363 125 363 81 364 79 364 73 364 110 365 73 365 79 365 80 366 82 366 74 366 114 367 96 367 99 367 96 368 90 368 95 368 92 369 95 369 90 369 94 370 93 370 23 370 29 371 23 371 93 371 26 372 29 372 88 372 20 373 26 373 89 373 38 374 20 374 89 374 66 375 67 375 0 375 67 376 68 376 16 376 15 377 16 377 68 377 12 378 15 378 72 378 72 379 70 379 12 379 100 380 109 380 110 380 103 381 111 381 108 381 102 382 110 382 111 382 114 383 113 383 84 383 107 384 114 384 115 384 106 385 115 385 112 385 108 386 66 386 0 386 7 387 1 387 100 387 8 388 11 388 109 388 30 389 24 389 112 389 21 390 38 390 113 390 22 391 33 391 104 391 117 392 116 392 32 392 27 393 39 393 117 393 6 394 5 394 119 394 118 395 119 395 2 395 122 396 75 396 120 396 125 397 120 397 47 397 45 398 44 398 121 398 64 399 123 399 121 399 85 400 121 400 83 400 123 401 126 401 124 401 120 402 125 402 127 402 58 403 57 403 132 403 120 404 65 404 71 404 132 405 137 405 61 405 61 406 137 406 146 406 136 407 62 407 60 407 48 408 50 408 53 408 48 409 107 409 103 409 42 410 61 410 131 410 102 411 103 411 107 411 41 412 129 412 128 412 127 413 102 413 106 413 126 414 123 414 122 414 123 415 64 415 75 415 75 416 64 416 128 416 130 417 129 417 41 417 43 418 128 418 131 418 129 419 130 419 63 419 146 420 137 420 143 420 141 421 143 421 137 421 136 422 146 422 144 422 136 423 145 423 142 423 142 424 138 424 134 424 138 425 147 425 148 425 149 426 151 426 150 426 139 427 133 427 150 427 151 428 149 428 147 428 142 429 145 429 197 429 140 430 151 430 241 430 181 431 228 431 138 431 141 432 139 432 258 432 184 433 245 433 141 433 198 434 186 434 144 434 145 435 144 435 183 435 139 436 141 436 133 436 178 437 167 437 230 437 168 438 175 438 240 438 180 439 214 439 163 439 228 440 181 440 180 440 257 441 182 441 175 441 245 442 184 442 182 442 194 443 188 443 152 443 192 444 191 444 155 444 189 445 194 445 159 445 191 446 190 446 154 446 195 447 189 447 153 447 188 448 193 448 157 448 190 449 195 449 160 449 193 450 192 450 156 450 189 451 195 451 170 451 195 452 190 452 161 452 190 453 191 453 161 453 191 454 192 454 162 454 192 455 193 455 166 455 193 456 188 456 158 456 188 457 194 457 158 457 194 458 189 458 169 458 215 459 210 459 206 459 214 460 227 460 212 460 174 461 177 461 187 461 209 462 213 462 222 462 215 463 222 463 221 463 197 464 199 464 229 464 213 465 209 465 216 465 254 466 230 466 240 466 226 467 217 467 221 467 207 468 218 468 225 468 218 469 205 469 202 469 218 470 204 470 220 470 204 471 203 471 223 471 203 472 215 472 224 472 213 473 200 473 222 473 222 474 211 474 228 474 209 475 207 475 219 475 217 476 216 476 221 476 245 477 257 477 243 477 256 478 253 478 252 478 251 479 252 479 255 479 237 480 239 480 246 480 187 481 185 481 172 481 198 482 196 482 185 482 181 483 227 483 214 483 200 484 230 484 241 484 184 485 258 485 240 485 163 486 179 486 226 486 254 487 246 487 247 487 246 488 254 488 242 488 186 489 185 489 187 489 243 490 196 490 198 490 206 491 210 491 237 491 247 492 239 492 248 492 176 493 172 493 185 493 183 494 187 494 199 494 201 495 202 495 235 495 239 496 249 496 251 496 234 497 237 497 210 497 249 498 250 498 256 498 250 499 235 499 231 499 250 500 236 500 253 500 231 501 235 501 202 501 233 502 246 502 255 502 230 503 254 503 247 503 232 504 231 504 205 504 242 505 240 505 259 505 208 506 206 506 238 506 241 507 247 507 259 507 236 508 233 508 252 508 255 509 242 509 259 509 220 510 223 510 219 510 223 511 224 511 216 511 200 512 213 512 217 512 227 513 181 513 138 513 57 514 55 514 133 514 53 515 149 515 150 515 148 516 149 516 53 516 135 517 148 517 54 517 134 518 135 518 63 518 63 519 130 519 136 519</p>
+ </polylist>
+ </mesh>
+ <extra><technique profile="MAYA"><double_sided>1</double_sided></technique></extra>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="node_007" name="node_007" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#shape0_012-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="Material_003-material" target="#Material_003-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/meshes/leg/lowerleg.dae b/ct_models/urdf/HyQ/meshes/leg/lowerleg.dae
new file mode 100644
index 0000000..b4f25a8
--- /dev/null
+++ b/ct_models/urdf/HyQ/meshes/leg/lowerleg.dae
@@ -0,0 +1,107 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.69.0 r60991</authoring_tool>
+ </contributor>
+ <created>2014-02-11T15:51:27</created>
+ <modified>2014-02-11T15:51:27</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="Material_002-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ <extra>
+ <technique profile="GOOGLEEARTH">
+ <double_sided>1</double_sided>
+ </technique>
+ </extra>
+ </profile_COMMON>
+ <extra><technique profile="MAX3D"><double_sided>1</double_sided></technique></extra>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="Material_002-material" name="Material_002">
+ <instance_effect url="#Material_002-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="shape0_007-mesh" name="shape0.007">
+ <mesh>
+ <source id="shape0_007-mesh-positions">
+ <float_array id="shape0_007-mesh-positions-array" count="621">0.04475349 0.001296162 -0.005999982 0.04994946 -0.001703619 -0.005999982 0.04475349 0.001296162 -0.02199995 0.04994946 -0.007703959 -0.005999982 0.04994946 -0.007703959 -0.02199995 0.04475349 -0.0107038 -0.005999982 0.03955745 -0.001703619 -0.005999982 0.03955745 -0.007703959 -0.005999982 0.03955745 -0.007703959 -0.02199995 0.03955745 -0.001703619 -0.02199995 0.04475349 -0.0107038 -0.02199995 0.04994946 -0.001703619 -0.02199995 0.04994946 -0.007703959 0.005999982 0.04475349 -0.0107038 0.005999982 0.04994946 -0.001703619 0.02200001 0.04994946 -0.001703619 0.005999982 0.03955745 -0.001703619 0.005999982 0.04475349 0.001296162 0.005999982 0.04475349 0.001296162 0.02200001 0.03955745 -0.001703619 0.02199995 0.03955745 -0.007703959 0.005999982 0.04475349 -0.0107038 0.02199995 0.03955745 -0.007703959 0.02199995 0.04994946 -0.007703959 0.02199995 0.122 0 -0.01524996 0.1219999 -0.02300006 -0.02199995 0.1219999 -0.02300006 0.02200001 0.1219999 -0.01076465 0.0108022 0.122 0.01076346 0.0108031 0.122 0 0.01524996 0.122 0.02299988 -0.02199995 0.122 0.01076447 -0.01080214 0.122 0.01524966 7.17226e-7 0.1219999 -0.01524984 -6.77473e-7 0.1219999 -0.01076364 -0.01080304 0 -0.02299994 -0.02999997 0.092 0.02299994 0.02200001 0.1219999 -0.02300006 -0.02999997 0.122 0.02299988 -0.02999997 0 0.023 -0.02999997 -0.01351994 0.01860648 -0.02999997 -0.02187407 0.007106661 -0.02999997 -0.02193498 -0.006917655 -0.02199995 -0.01352 -0.01860648 -0.02999997 -0.02187407 -0.007106602 -0.02999997 0.092 0.02299988 0.02999997 -0.01360011 -0.01854813 -0.02199995 -0.02178055 0.007389485 -0.02199995 0 -0.02299994 -0.02199995 0 0.023 -0.02199995 0.09199994 -0.02300006 0.02200001 0 0.02299994 0.02999997 0.122 0.02299988 0.03000003 0.1219999 -0.02300006 0.02999997 0 -0.023 0.02999997 -0.02187407 -0.007106602 0.02999997 -0.01352 -0.01860648 0.02999997 -0.02193498 -0.006917655 0.02199995 -0.01351994 0.01860648 0.02999997 -0.02187407 0.007106661 0.02999997 -0.02178055 0.007389485 0.02199995 -0.01319724 0.01883685 0.02199995 -0.01360011 -0.01854819 0.02199995 0 -0.023 0.02199995 0.122 0.02299988 0.02200001 0 0.02299994 0.02199995 0.09199994 -0.02300006 0.02999997 -0.01319724 0.01883691 -0.02199995 0.092 0.02299994 -0.02199995 0.092 0.02299994 -0.02999997 0.09199994 -0.023 -0.02199995 0.09199994 -0.023 -0.02999997 0.092 0 -0.02199995 0 0 -0.02199995 0 0 0.02199995 0.09199994 0 0.02200001 -0.01997458 0.006481826 -0.02999997 -0.01998871 -0.006438255 -0.02999997 0.01235449 0.0169813 -0.02999997 -0.01235449 -0.0169813 -0.02999997 3.06614e-5 -0.0209999 -0.02999997 0.01996976 0.006496846 -0.03549998 -0.0123499 0.0169847 -0.03549998 -0.01997458 0.006481826 -0.03549998 -0.01233708 -0.01699399 -0.03549998 -0.01996976 -0.006496846 -0.03549998 7.90649e-6 -0.02099996 -0.03549998 0.0123499 -0.0169847 -0.03549998 0.01240062 -0.01694762 -0.02999997 0.01997458 -0.006481826 -0.03549998 0.01998871 0.006438255 -0.02999997 0.01997458 -0.006481826 -0.02999997 0.01233708 0.01699399 -0.03549998 -7.89136e-6 0.02099996 -0.03549998 -0.01240062 0.01694768 -0.02999997 -3.06486e-5 0.0209999 -0.02999997 -0.01997458 0.006481826 0.02999997 -0.01998907 -0.006437063 0.02999997 0.01239961 -0.0169484 0.02999997 0.01997458 -0.006481826 0.02999997 0.01998907 0.006437063 0.02999997 0.01235544 0.01698052 0.02999997 -0.01239961 0.0169484 0.02999997 0.0123499 -0.0169847 0.03549998 0.01997458 -0.006481826 0.03549998 -0.01997458 0.006481826 0.03549998 -0.0123499 0.0169847 0.03549998 -7.90649e-6 0.02099996 0.03549998 0.01233708 0.01699399 0.03549998 -2.94631e-5 0.0209999 0.02999997 0.01996976 0.006496846 0.03549998 7.89136e-6 -0.02099996 0.03549998 2.94503e-5 -0.02099996 0.02999997 -0.01233708 -0.01699399 0.03549998 -0.01235544 -0.01698058 0.02999997 -0.01996976 -0.006496846 0.03549998 -2.42735e-6 0.006489336 0.03549998 2.41042e-6 -0.006489336 0.03549998 0.01999998 -0.023 0.02199995 0.01999998 0.02299994 0.02199995 0.01999998 0.02299994 0.02999997 0.01999992 -0.023 0.02999997 2.42556e-6 -0.006489336 -0.03549998 -2.41221e-6 0.006489336 -0.03549998 0.01999998 0 0.02199995 0.01999998 0 -0.02199995 0.01999998 0.02299994 -0.02999997 0.01999998 -0.023 -0.02199995 0.01999998 0.02299994 -0.02199995 0.01999998 -0.023 -0.02999997 0.04475349 -5.03817e-4 -0.005999982 0.04839068 -0.00260365 -0.005999982 0.04839068 -0.006803929 -0.005999982 0.04475349 -0.008903801 -0.005999982 0.04111629 -0.00260365 -0.005999982 0.04111629 -0.00680387 -0.005999982 0.04475349 -5.03818e-4 0.005999982 0.04839068 -0.00260365 0.005999982 0.04475349 -0.008903801 0.005999982 0.04111629 -0.00260365 0.005999982 0.04839068 -0.006803929 0.005999982 0.04111629 -0.006803929 0.005999982 0.304 -1.34051e-7 -0.0152499 0.304 -0.01076471 0.0108022 0.304 0.0107634 0.0108031 0.304 -1.40432e-7 0.01525002 0.304 0.01076442 -0.01080214 0.304 0.0152496 7.46878e-7 0.304 -0.0152499 -6.47822e-7 0.304 -0.0107637 -0.01080304 0.304 -1.33628e-7 -0.01677495 0.304 -0.01184117 0.01188242 0.304 0.0118398 0.01188343 0.304 -1.40647e-7 0.01677501 0.304 0.01184087 -0.01188236 0.304 0.01677459 8.16601e-7 0.304 -0.01677489 -7.17569e-7 0.304 -0.01184004 -0.01188331 0.307 -1.33305e-7 -0.02012991 0.307 -0.01420938 0.01425892 0.307 0.01420778 0.01426011 0.307 -1.41728e-7 0.02013003 0.307 0.01420909 -0.0142588 0.307 0.02012956 9.7048e-7 0.307 -0.02012985 -8.70523e-7 0.307 -0.01420807 -0.01425999 0.331 -1.37978e-7 -0.02012991 0.331 -0.01420938 0.01425892 0.331 0.01420778 0.01426011 0.331 -1.46401e-7 0.02013003 0.331 0.01420909 -0.0142588 0.331 0.02012956 9.74391e-7 0.331 -0.02012985 -8.66613e-7 0.331 -0.01420807 -0.01425999 0.333 -1.39362e-7 -0.01690912 0.333 -0.01193588 0.01197749 0.333 0.01193451 0.0119785 0.333 -1.46437e-7 0.01690924 0.333 0.01193565 -0.01197737 0.333 0.01690882 8.27418e-7 0.333 -0.01690912 -7.19025e-7 0.333 -0.01193481 -0.01197838 0.336 -1.38896e-7 -0.02029097 0.336 -0.01432305 0.014373 0.336 0.01432144 0.01437419 0.336 -1.47386e-7 0.02029109 0.336 0.01432275 -0.01437288 0.336 0.02029061 9.8254e-7 0.336 -0.02029091 -8.73192e-7 0.336 -0.01432174 -0.01437407 0.348 -1.41232e-7 -0.02029097 0.348 -0.01432305 0.014373 0.348 0.01432144 0.01437419 0.348 -1.49722e-7 0.02029109 0.348 0.01432275 -0.01437288 0.348 0.02029061 9.84495e-7 0.348 -0.02029091 -8.71237e-7 0.348 -0.01432174 -0.01437407 0.358 -1.45751e-7 -0.01217454 0.358 -0.008593916 0.008623838 0.358 0.008592784 0.008624553 0.358 -1.50845e-7 0.01217466 0.358 0.008593618 -0.008623719 0.358 0.0121743 6.15005e-7 0.358 -0.0121746 -4.98434e-7 0.358 -0.008593082 -0.008624434 0.362 -1.50204e-7 0</float_array>
+ <technique_common>
+ <accessor source="#shape0_007-mesh-positions-array" count="207" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shape0_007-mesh-normals">
+ <float_array id="shape0_007-mesh-normals-array" count="1242">0.4999917 0.8660302 1.82735e-7 -0.4999901 0.8660312 0 -0.4999903 0.8660309 1.82735e-7 1 -1.2417e-6 2.3283e-7 0.4999914 0.8660303 3.22124e-7 0.4999931 -0.8660294 0 1 -1.2417e-6 2.3283e-7 -0.499994 -0.8660289 -3.18052e-7 0.499993 -0.8660294 0 -1 6.20849e-7 -2.32831e-7 -0.4999938 -0.866029 -2.67642e-7 -1 6.20849e-7 -2.3283e-7 0.4999928 -0.8660296 0 -0.4999939 -0.8660289 -2.67642e-7 -0.499994 -0.8660289 -3.18052e-7 1 -1.2417e-6 2.3283e-7 0.499993 -0.8660295 0 0.4999917 0.8660302 2.99148e-7 1 -1.2417e-6 2.3283e-7 -0.4999901 0.8660312 0 0.4999917 0.8660302 2.92847e-7 -1 1.2417e-6 0 -0.4999903 0.8660309 1.76434e-7 -1 1.86255e-6 -2.3283e-7 1 -1.92265e-6 3.38662e-7 1 4.5733e-7 -4.99787e-7 1 -4.25136e-7 8.66193e-7 1 4.80685e-7 1.69331e-7 1 4.41217e-7 1.83236e-7 1 0 0 -1.5522e-6 -1 -4.65663e-7 -0.8090279 -0.5877195 0.007722795 1 -4.76851e-7 -5.21037e-7 -1.5522e-6 -1 -2.32831e-7 -0.3008016 0.9535636 0.01532918 -0.3090535 0.9510447 3.95393e-7 -0.808951 0.5876662 0.01570612 -0.9999316 5.24162e-7 0.01168704 1.49012e-6 1 2.32831e-7 -4.91531e-7 -1 -2.32831e-7 1.5522e-6 1 4.65662e-7 1.30385e-6 1 4.65662e-7 -0.8000193 0.5998571 0.01185655 1 -6.47877e-7 0 -0.3090528 -0.9510371 0.003836214 -0.3110942 -0.950379 -4.9034e-7 -0.8128213 -0.5825002 0.003892481 -0.9999108 0.01079183 0.007866859 1 -1.80937e-6 -6.46304e-7 1 -8.09846e-7 2.75947e-6 1 -8.09846e-7 0 1 -2.8749e-7 9.79594e-7 1 -1.43066e-6 1.56348e-6 1 -6.47876e-7 -1.10379e-6 -5.17401e-7 -1 -4.65662e-7 1.02445e-6 1 4.65661e-7 -2.48353e-7 -2.83446e-7 1 -0.9999935 0.001091182 -0.003454446 1.86265e-7 2.83446e-7 -1 -1.55221e-6 -1 -2.11665e-7 1.5522e-6 1 2.11664e-7 1.86265e-7 2.42954e-7 -1 0 -2.42954e-7 1 0 -3.23938e-7 1 0 0 -1 0 2.42954e-7 -1 2.00201e-7 3.38028e-7 -1 1.29215e-7 1.28795e-7 -1 0 2.29901e-7 -1 0 2.42954e-7 -1 0 -2.42954e-7 1 -2.07788e-7 -1.48909e-7 1 -1.73223e-7 -2.5851e-7 1 -1.56193e-7 -2.08313e-7 1 -2.05637e-7 -2.42954e-7 1 -1 1.29575e-6 -3.38662e-7 -1 6.47877e-7 -3.38663e-7 0.8099571 0.5864878 -0.001211106 0.8092402 -0.587478 1.24842e-7 -0.3086297 -0.9511815 0.001218616 0.3113092 -0.9503078 -0.001274108 0.9999935 -0.001091182 -0.003454089 -0.8100943 0.5862894 0.003453791 -0.3113092 0.9503078 -0.001274228 0.3086297 0.9511815 0.001218736 -0.809957 -0.586488 -0.001211404 -0.8101104 0.5862668 -0.003519535 -0.9999933 0.001118779 0.003519296 0.8100944 -0.5862894 0.003454089 0 0 -1 0.3086881 0.9511626 -0.001218199 2.59757e-7 -2.07121e-6 1 -0.3086881 -0.9511626 -0.001218318 0.3112553 -0.9503256 0.001211702 1.35115e-6 -1.33379e-6 1 0.8099904 0.5864418 0.001274049 0 1.30731e-7 -1 0.9999999 3.72566e-4 3.38757e-7 4.51971e-7 3.04982e-7 -1 -0.3112553 0.9503256 0.001211583 -2.45163e-7 1.75819e-7 -1 0 0 -1 -0.8099904 -0.5864418 0.001273751 0 0 1 1.96123e-6 0 1 0 -2.575e-7 1 -1.86524e-7 0 1 0 0 1 -1.66639e-7 -5.13519e-7 1 -1.86339e-7 -4.90377e-7 1 -4.36578e-7 -5.13621e-7 1 0 0 1 0 -3.54789e-7 1 0 -2.56759e-7 1 -2.18289e-7 -2.5681e-7 1 -1.86441e-7 -2.19342e-7 1 0 0 -1 1.86524e-7 0 -1 0 0 -1 4.36578e-7 5.13621e-7 -1 1.66639e-7 5.13519e-7 -1 1.86339e-7 4.90377e-7 -1 1.86441e-7 2.19342e-7 -1 2.18289e-7 2.5681e-7 -1 0 2.56759e-7 -1 0 3.54789e-7 -1 -2.58728e-7 0 1 -1.02445e-6 -1 -4.65662e-7 5.43271e-7 1 4.65661e-7 -2.02235e-7 -3.50287e-7 1 -2.18697e-7 -3.23938e-7 1 4.39791e-7 1 2.32831e-7 -1.11759e-6 -1 -2.32831e-7 -1.92908e-7 -2.86779e-7 1 2.21062e-7 -3.37951e-7 1 -2.06961e-7 -3.40774e-7 1 -1.55221e-7 -3.38528e-7 1 -2.839e-7 -9.72142e-7 1 -1.81091e-7 -3.37257e-7 1 0 -3.37391e-7 1 0 -2.19126e-7 1 3.25055e-7 -2.88688e-7 -1 2.06961e-7 2.24793e-7 -1 2.06961e-7 7.89661e-7 -1 -1.77167e-7 2.25055e-7 -1 0 0 -1 -5.97604e-7 7.88426e-7 -1 1.76292e-7 1.76013e-6 -1 -1.76966e-7 -2.42953e-7 1 -1.64605e-7 -3.10424e-7 1 -1.67339e-7 -2.42954e-7 1 -1.81091e-7 -2.06536e-7 1 -2.11642e-7 -2.42954e-7 1 1.38173e-7 3.10424e-7 -1 1.61788e-7 2.8023e-7 -1 1.55221e-7 2.93451e-7 -1 1.65734e-7 3.33847e-7 -1 1.32671e-7 2.42954e-7 -1 1.2031e-7 3.10424e-7 -1 1.3173e-7 2.28168e-7 -1 2.06961e-7 0 -1 2.75902e-7 1.43028e-7 -1 -1.79248e-7 -3.1044e-7 1 -1.34429e-7 -2.32818e-7 1 -1.9417e-7 -1.8109e-7 1 -2.98715e-7 -5.174e-7 1 -1.64302e-7 -2.32818e-7 1 -1.34436e-7 -2.3283e-7 1 0.4999921 0.8660299 0 -0.4999894 0.8660315 0 0.4999924 -0.8660297 0 1 0 0 -1 0 0 -0.4999937 -0.866029 -2.346e-7 4.18223e-7 3.10424e-7 -1 2.98715e-7 5.17401e-7 -1 3.43528e-7 4.3979e-7 -1 1.34436e-7 2.3283e-7 -1 1.79248e-7 3.1044e-7 -1 4.18223e-7 3.10424e-7 -1 0 -0.3818382 -0.9242292 -2.51512e-7 -0.9235621 0.3834488 0 -0.9235254 -0.383537 2.25595e-7 0.3818742 -0.9242143 -2.18912e-7 -0.3818741 0.9242144 0 0.9235256 0.3835366 2.51512e-7 0.9235622 -0.3834485 0 0.3818381 0.9242293 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.7184254 0.6424083 0.2667896 -0.7186883 -0.2655045 -0.6426466 -0.7186886 0.2655042 0.6426463 -0.7184255 -0.6424078 -0.2667901 -0.7186823 0.2655318 -0.6426419 -0.7184293 -0.6424292 0.2667284 -0.7184261 0.6424331 -0.2667281 -0.7186827 -0.2655316 0.6426416 1.3415e-7 0.9235622 -0.3834485 -1.81686e-7 -0.3818743 0.9242143 1.19655e-7 0.9235256 0.3835368 0 -0.3818382 -0.9242292 0 0.3818382 0.9242292 0 -0.9235254 -0.3835374 1.81686e-7 0.3818743 -0.9242143 -2.05827e-7 -0.923562 0.383449 0.8298549 -0.515308 -0.2140059 0.8300461 0.2129692 -0.5154294 0.8298517 -0.5153334 0.2139569 0.8298592 0.5153222 -0.2139554 0.8300459 -0.2129693 0.5154299 0.8298551 0.515308 0.2140054 0.8300501 -0.2129468 -0.5154322 0.8300502 0.2129468 0.5154322 -0.7214543 -0.2644084 -0.6399937 -0.7214545 0.2644083 0.6399935 -0.7211927 -0.6397578 -0.2656896 -0.7214487 0.2644356 -0.6399887 -0.7211967 -0.6397789 0.265628 -0.7211902 0.6397864 -0.2656278 -0.7214489 -0.2644355 0.6399886 -0.7211928 0.6397579 0.265689 -1.31003e-7 -0.3818742 0.9242143 0 0.9235256 0.3835368 0 -0.3818382 -0.9242292 0 0.3818382 0.9242292 0 -0.9235253 -0.3835374 1.31003e-7 0.3818742 -0.9242143 0 -0.923562 0.383449 0 0.9235622 -0.3834486 0.5997828 -0.7390005 0.3068206 0.5997841 0.7389993 -0.306821 0.6000672 -0.3054801 0.7393249 0.5997833 0.7389705 0.3068916 0.6000735 -0.3054495 -0.7393324 0.6000736 0.3054494 0.7393324 0.5997831 -0.7389705 -0.3068922 0.6000675 0.30548 -0.7393246 0.9422354 0.1278972 0.3095718 0.9421554 -0.3095437 -0.1285525 0.9422338 0.127911 -0.3095712 0.9421557 -0.3095555 0.1285228 0.9421557 0.3095557 -0.1285226 0.9422338 -0.127911 0.3095713 0.9421555 0.3095439 0.1285523 0.9422355 -0.1278972 -0.3095719 -1.5522e-6 -1 -4.65661e-7 -0.8128213 -0.5825001 -0.003893315 -1.5522e-6 -1 -2.32831e-7 -0.3090534 0.9510447 1.73961e-7 -0.3008014 0.9535636 -0.01532888 -0.8000192 0.5998571 -0.01185649 -0.9999108 0.01079171 -0.007867038 1.5522e-6 1 4.65661e-7 -4.91531e-7 -1 -2.32831e-7 1.49012e-6 1 2.32832e-7 1.30385e-6 1 4.65662e-7 -0.8089511 0.5876661 -0.01570636 1 -6.47877e-7 0 -0.3110942 -0.9503791 -3.17779e-7 -0.3090527 -0.9510372 -0.003837168 -0.8090281 -0.5877194 -0.007723212 -0.9999318 6.55203e-7 -0.01168727 1 -8.09846e-7 0 -5.17401e-7 -1 -4.65662e-7 9.31323e-7 1 2.32831e-7 -1.86265e-7 -2.42954e-7 1 -0.9999999 -3.72566e-4 -3.38757e-7 1.86265e-7 2.83446e-7 -1 -1.5522e-6 -1 -2.11664e-7 1.5522e-6 1 2.11664e-7 1.86265e-7 2.42954e-7 -1 0 -2.42954e-7 1 0 -2.42954e-7 1 1.86265e-7 2.42954e-7 -1 -1 6.47877e-7 0 -1 3.23938e-7 -1.69331e-7 0.8087899 0.5880873 0.003482222 0.8101103 -0.5862668 -0.003519117 -0.3086587 -0.951172 0.001290798 0.3093711 -0.9509348 0.00355494 1 3.7271e-4 3.38757e-7 -0.8092402 0.587478 -1.24842e-7 -0.3093711 0.9509347 0.003554761 0.3086588 0.951172 0.001290977 -0.80879 -0.5880872 0.003481566 -0.8092402 0.587478 -1.24842e-7 -0.9999999 -3.7271e-4 -3.38757e-7 0.8092402 -0.587478 1.24842e-7 0 0 -1 0.3086587 0.951172 -0.001291096 -7.56528e-7 0 1 -0.3086587 -0.9511719 -0.001291215 0.3093711 -0.950935 -0.003482401 1.49695e-6 -1.41141e-6 1 0.8087898 0.5880871 -0.003554165 1.27263e-7 0 -1 0.9999932 -0.001118779 0.003519654 6.05353e-7 0 -1 -0.3093712 0.950935 -0.00348252 0 2.57603e-7 -1 0 0 -1 -0.8087897 -0.5880872 -0.003554761 0 0 1 0 2.88474e-7 1 2.45323e-7 -1.7571e-7 1 -1.86524e-7 0 1 0 0 1 0 0 -1 1.86524e-7 0 -1 -1.42588e-7 -2.83446e-7 1 -1.02445e-6 -1 -4.65662e-7 5.43272e-7 1 4.65661e-7 -2.33412e-7 -3.10424e-7 1 4.65661e-7 1 4.65661e-7 -1.11759e-6 -1 -2.32831e-7 -1.86265e-7 0 1 0 0 1 0 2.83446e-7 -1 0 0 -1 0 0 -1 -1.53685e-7 -2.66196e-7 1 -2.1615e-7 -2.46523e-7 1 2.11642e-7 2.42954e-7 -1 1.23043e-7 2.42954e-7 -1 1.97533e-7 0 -1 -2.34725e-7 -2.58701e-7 1 -5.33446e-7 0 1 0 0 1 0 -2.58701e-7 1 -1.28028e-7 -2.21732e-7 1 -3.84082e-7 0 1 0.499992 0.8660299 0 -0.4999894 0.8660315 0 0.4999919 -0.8660301 -2.01638e-7 1 0 0 -1 0 0 -0.4999938 -0.866029 -2.89644e-7 1.28028e-7 2.21732e-7 -1 0 2.58701e-7 -1 1.49358e-7 2.587e-7 -1 0 2.587e-7 -1 2.34724e-7 2.58701e-7 -1 1.28028e-7 2.21732e-7 -1 0 -0.3818382 -0.9242292 -2.3569e-7 -0.9235621 0.3834491 -1.26547e-7 -0.9235255 -0.3835373 2.25693e-7 0.3818743 -0.9242143 -2.25693e-7 -0.3818742 0.9242144 1.26547e-7 0.9235257 0.3835365 2.42378e-7 0.9235624 -0.3834484 0 0.3818382 0.9242293 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -1 0 0 -0.7184255 0.6424081 0.2667896 -0.7186881 -0.2655045 -0.6426467 -0.7186883 0.2655045 0.6426466 -0.7184287 -0.6424043 -0.2667901 -0.7186826 0.2655318 -0.6426416 -0.7184263 -0.6424326 0.2667284 -0.718426 0.6424331 -0.2667281 -0.718683 -0.2655315 0.6426412 2.23834e-7 0.9235622 -0.3834487 -2.17811e-7 -0.3818743 0.9242143 0 0.9235256 0.3835366 0 -0.3818382 -0.9242292 0 0.3818382 0.9242292 0 -0.9235254 -0.3835374 2.17811e-7 0.3818742 -0.9242143 -2.3562e-7 -0.923562 0.383449 0.8298513 -0.5153135 -0.2140064 0.8300461 0.2129692 -0.5154294 0.8298553 -0.5153279 0.2139564 0.8298556 0.5153276 -0.2139559 0.8300461 -0.2129693 0.5154294 0.8298587 0.5153023 0.2140049 0.8300502 -0.2129468 -0.5154321 0.8300502 0.2129467 0.5154321 -0.7214543 -0.2644085 -0.6399938 -0.7214545 0.2644084 0.6399936 -0.7211961 -0.6397542 -0.2656896 -0.7214488 0.2644357 -0.6399887 -0.7211934 -0.6397826 0.265628 -0.7211934 0.6397828 -0.2656278 -0.721449 -0.2644355 0.6399885 -0.7211897 0.6397615 0.2656891 -2.1781e-7 -0.3818742 0.9242143 0 0.9235256 0.3835368 0 -0.3818382 -0.9242292 0 0.3818381 0.9242292 0 -0.9235254 -0.3835373 2.1781e-7 0.3818742 -0.9242144 -1.55833e-7 -0.923562 0.3834491 1.73115e-7 0.9235622 -0.3834487 0.5997838 -0.7389993 0.3068215 0.599784 0.7389993 -0.3068209 0.6000673 -0.3054801 0.7393249 0.5997835 0.7389704 0.3068917 0.6000735 -0.3054494 -0.7393324 0.6000735 0.3054496 0.7393324 0.5997822 -0.7389715 -0.3068915 0.6000674 0.30548 -0.7393246</float_array>
+ <technique_common>
+ <accessor source="#shape0_007-mesh-normals-array" count="414" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shape0_007-mesh-vertices">
+ <input semantic="POSITION" source="#shape0_007-mesh-positions"/>
+ </vertices>
+ <polylist material="Material_002-material" count="414">
+ <input semantic="VERTEX" source="#shape0_007-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#shape0_007-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>2 0 0 0 1 0 9 1 6 1 0 1 9 2 0 2 2 2 11 3 1 3 3 3 11 4 2 4 1 4 4 5 3 5 5 5 11 6 3 6 4 6 10 7 5 7 7 7 4 8 5 8 10 8 8 9 7 9 6 9 10 10 7 10 8 10 8 11 6 11 9 11 21 12 13 12 12 12 22 13 20 13 13 13 22 14 13 14 21 14 23 15 12 15 15 15 23 16 21 16 12 16 14 17 15 17 17 17 23 18 15 18 14 18 18 19 17 19 16 19 14 20 17 20 18 20 19 21 16 21 20 21 18 22 16 22 19 22 19 23 20 23 22 23 33 24 26 24 25 24 34 25 33 25 25 25 33 26 27 26 26 26 32 27 30 27 64 27 28 28 32 28 64 28 32 29 31 29 30 29 66 30 50 30 53 30 44 31 43 31 42 31 30 32 31 32 24 32 70 33 71 33 25 33 61 34 58 34 65 34 49 35 39 35 40 35 40 36 41 36 67 36 41 37 44 37 47 37 52 38 64 38 45 38 127 39 129 39 70 39 30 40 38 40 68 40 128 41 126 41 49 41 60 42 59 42 61 42 25 43 37 43 30 43 46 44 43 44 35 44 63 45 54 45 62 45 62 46 56 46 57 46 57 47 55 47 60 47 27 48 29 48 26 48 26 49 29 49 64 49 26 50 64 50 53 50 29 51 28 51 64 51 34 52 25 52 24 52 30 53 24 53 25 53 121 54 118 54 66 54 120 55 119 55 51 55 45 56 66 56 53 56 77 57 76 57 85 57 71 58 69 58 37 58 26 59 50 59 25 59 36 60 64 60 68 60 124 61 118 61 74 61 125 62 128 62 73 62 127 63 125 63 48 63 119 64 124 64 65 64 74 65 61 65 65 65 61 66 74 66 60 66 60 67 74 67 57 67 74 68 62 68 57 68 74 69 63 69 62 69 48 70 73 70 46 70 46 71 73 71 42 71 73 72 47 72 42 72 73 73 67 73 47 73 73 74 49 74 67 74 72 75 70 75 75 75 75 76 36 76 72 76 78 77 90 77 92 77 89 78 91 78 87 78 80 79 79 79 84 79 88 80 80 80 86 80 90 81 91 81 81 81 102 82 96 82 106 82 94 83 95 83 93 83 95 84 78 84 92 84 79 85 77 85 84 85 76 86 94 86 82 86 96 87 97 87 115 87 98 88 99 88 103 88 43 89 79 89 80 89 101 90 109 90 107 90 58 91 102 91 51 91 114 92 112 92 111 92 112 93 98 93 111 93 102 94 58 94 96 94 100 95 101 95 108 95 76 96 41 96 40 96 104 97 99 97 110 97 94 98 40 98 39 98 109 99 102 99 107 99 79 100 43 100 77 100 77 101 44 101 76 101 97 102 114 102 113 102 114 103 56 103 112 103 96 104 59 104 55 104 97 105 55 105 56 105 116 106 105 106 115 106 110 107 116 107 117 107 117 108 113 108 111 108 117 109 115 109 113 109 117 110 111 110 103 110 117 111 103 111 104 111 116 112 110 112 108 112 116 113 108 113 107 113 106 114 116 114 107 114 105 115 116 115 106 115 122 116 85 116 123 116 89 117 122 117 81 117 123 118 83 118 82 118 93 119 123 119 82 119 92 120 123 120 93 120 123 121 92 121 81 121 122 122 89 122 87 122 122 123 87 123 86 123 122 124 86 124 84 124 85 125 122 125 84 125 45 126 100 126 99 126 54 127 63 127 121 127 45 128 36 128 120 128 127 129 10 129 8 129 9 130 125 130 127 130 68 131 69 131 128 131 48 132 35 132 127 132 10 133 70 133 4 133 121 134 99 134 98 134 10 135 127 135 70 135 121 136 66 136 99 136 121 137 98 137 112 137 45 138 120 138 100 138 120 139 101 139 100 139 101 140 120 140 109 140 90 141 69 141 91 141 90 142 126 142 69 142 129 143 91 143 71 143 126 144 90 144 78 144 126 145 78 145 95 145 91 146 129 146 88 146 88 147 129 147 80 147 72 148 4 148 70 148 72 149 11 149 4 149 11 150 72 150 68 150 128 151 2 151 68 151 125 152 9 152 128 152 22 153 118 153 19 153 118 154 22 154 21 154 118 155 21 155 50 155 23 156 50 156 21 156 23 157 75 157 50 157 75 158 23 158 14 158 18 159 36 159 14 159 18 160 119 160 36 160 119 161 18 161 19 161 0 162 6 162 134 162 3 163 1 163 132 163 7 164 5 164 135 164 1 165 0 165 131 165 6 166 7 166 135 166 5 167 3 167 132 167 131 168 130 168 137 168 130 169 134 169 136 169 133 170 132 170 138 170 132 171 131 171 140 171 134 172 135 172 139 172 135 173 133 173 141 173 15 174 12 174 137 174 17 175 15 175 137 175 13 176 20 176 141 176 12 177 13 177 140 177 16 178 17 178 139 178 20 179 16 179 141 179 34 180 24 180 149 180 33 181 148 181 27 181 34 182 149 182 33 182 31 183 146 183 24 183 27 184 143 184 29 184 28 185 144 185 32 185 32 186 147 186 31 186 28 187 29 187 144 187 144 188 145 188 152 188 149 189 157 189 148 189 146 190 154 190 142 190 148 191 156 191 151 191 147 192 155 192 154 192 143 193 151 193 145 193 144 194 152 194 147 194 149 195 142 195 157 195 152 196 160 196 155 196 157 197 150 197 158 197 152 198 153 198 161 198 157 199 165 199 156 199 154 200 162 200 150 200 156 201 164 201 159 201 155 202 163 202 162 202 151 203 159 203 153 203 163 204 171 204 162 204 159 205 167 205 161 205 160 206 168 206 171 206 165 207 158 207 173 207 160 208 161 208 168 208 165 209 173 209 164 209 162 210 170 210 158 210 164 211 172 211 167 211 173 212 181 212 180 212 170 213 178 213 174 213 172 214 180 214 167 214 171 215 179 215 170 215 167 216 175 216 177 216 168 217 176 217 179 217 173 218 166 218 181 218 168 219 169 219 176 219 181 220 174 220 182 220 176 221 177 221 185 221 181 222 189 222 180 222 178 223 186 223 174 223 180 224 188 224 183 224 179 225 187 225 186 225 175 226 183 226 177 226 176 227 184 227 179 227 183 228 191 228 185 228 184 229 192 229 195 229 189 230 182 230 197 230 184 231 185 231 192 231 189 232 197 232 188 232 186 233 194 233 182 233 188 234 196 234 191 234 187 235 195 235 186 235 196 236 204 236 191 236 195 237 203 237 194 237 191 238 199 238 201 238 192 239 200 239 203 239 197 240 190 240 205 240 192 241 193 241 200 241 197 242 205 242 204 242 194 243 202 243 198 243 200 244 201 244 206 244 205 245 206 245 204 245 202 246 206 246 198 246 204 247 206 247 199 247 203 248 206 248 202 248 199 249 206 249 201 249 200 250 206 250 203 250 205 251 198 251 206 251 50 252 26 252 53 252 43 253 46 253 42 253 71 254 37 254 25 254 58 255 51 255 65 255 67 256 49 256 40 256 41 257 47 257 67 257 44 258 42 258 47 258 64 259 36 259 45 259 129 260 71 260 70 260 38 261 69 261 68 261 126 262 39 262 49 262 59 263 58 263 61 263 37 264 38 264 30 264 48 265 46 265 35 265 54 266 56 266 62 266 56 267 55 267 57 267 55 268 59 268 60 268 64 269 52 269 53 269 118 270 50 270 66 270 119 271 65 271 51 271 52 272 45 272 53 272 76 273 83 273 85 273 69 274 38 274 37 274 50 275 70 275 25 275 64 276 30 276 68 276 118 277 63 277 74 277 128 278 49 278 73 278 125 279 73 279 48 279 124 280 74 280 65 280 70 281 50 281 75 281 36 282 68 282 72 282 90 283 81 283 92 283 91 284 88 284 87 284 86 285 80 285 84 285 87 286 88 286 86 286 91 287 89 287 81 287 96 288 105 288 106 288 82 289 94 289 93 289 93 290 95 290 92 290 77 291 85 291 84 291 83 292 76 292 82 292 105 293 96 293 115 293 99 294 104 294 103 294 35 295 43 295 80 295 108 296 101 296 107 296 102 297 109 297 51 297 113 298 114 298 111 298 98 299 103 299 111 299 58 300 59 300 96 300 110 301 100 301 108 301 94 302 76 302 40 302 99 303 100 303 110 303 95 304 94 304 39 304 102 305 106 305 107 305 43 306 44 306 77 306 44 307 41 307 76 307 115 308 97 308 113 308 56 309 54 309 112 309 97 310 96 310 55 310 114 311 97 311 56 311 117 312 116 312 115 312 104 313 110 313 117 313 85 314 83 314 123 314 122 315 123 315 81 315 66 316 45 316 99 316 63 317 118 317 121 317 36 318 119 318 120 318 8 319 9 319 127 319 69 320 126 320 128 320 35 321 129 321 127 321 54 322 121 322 112 322 120 323 51 323 109 323 69 324 71 324 91 324 39 325 126 325 95 325 129 326 35 326 80 326 2 327 11 327 68 327 9 328 2 328 128 328 118 329 124 329 19 329 36 330 75 330 14 330 124 331 119 331 19 331 130 332 0 332 134 332 1 333 131 333 132 333 5 334 133 334 135 334 0 335 130 335 131 335 134 336 6 336 135 336 133 337 5 337 132 337 130 338 136 338 137 338 134 339 139 339 136 339 132 340 140 340 138 340 131 341 137 341 140 341 135 342 141 342 139 342 133 343 138 343 141 343 12 344 140 344 137 344 136 345 17 345 137 345 138 346 13 346 141 346 13 347 138 347 140 347 17 348 136 348 139 348 16 349 139 349 141 349 24 350 142 350 149 350 148 351 143 351 27 351 149 352 148 352 33 352 146 353 142 353 24 353 143 354 145 354 29 354 144 355 147 355 32 355 147 356 146 356 31 356 29 357 145 357 144 357 145 358 153 358 152 358 157 359 156 359 148 359 154 360 150 360 142 360 143 361 148 361 151 361 146 362 147 362 154 362 151 363 153 363 145 363 152 364 155 364 147 364 142 365 150 365 157 365 160 366 163 366 155 366 165 367 157 367 158 367 160 368 152 368 161 368 165 369 164 369 156 369 162 370 158 370 150 370 151 371 156 371 159 371 154 372 155 372 162 372 159 373 161 373 153 373 171 374 170 374 162 374 167 375 169 375 161 375 163 376 160 376 171 376 158 377 166 377 173 377 161 378 169 378 168 378 173 379 172 379 164 379 170 380 166 380 158 380 159 381 164 381 167 381 172 382 173 382 180 382 166 383 170 383 174 383 180 384 175 384 167 384 179 385 178 385 170 385 169 386 167 386 177 386 171 387 168 387 179 387 166 388 174 388 181 388 169 389 177 389 176 389 189 390 181 390 182 390 184 391 176 391 185 391 189 392 188 392 180 392 186 393 182 393 174 393 175 394 180 394 183 394 178 395 179 395 186 395 183 396 185 396 177 396 184 397 187 397 179 397 191 398 193 398 185 398 187 399 184 399 195 399 182 400 190 400 197 400 185 401 193 401 192 401 197 402 196 402 188 402 194 403 190 403 182 403 183 404 188 404 191 404 195 405 194 405 186 405 204 406 199 406 191 406 203 407 202 407 194 407 193 408 191 408 201 408 195 409 192 409 203 409 190 410 198 410 205 410 193 411 201 411 200 411 196 412 197 412 204 412 190 413 194 413 198 413</p>
+ </polylist>
+ </mesh>
+ <extra><technique profile="MAYA"><double_sided>1</double_sided></technique></extra>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="node_004" name="node_004" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#shape0_007-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="Material_002-material" target="#Material_002-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/meshes/leg/upperleg.dae b/ct_models/urdf/HyQ/meshes/leg/upperleg.dae
new file mode 100644
index 0000000..94cc853
--- /dev/null
+++ b/ct_models/urdf/HyQ/meshes/leg/upperleg.dae
@@ -0,0 +1,107 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.69.0 r60991</authoring_tool>
+ </contributor>
+ <created>2014-02-12T09:23:51</created>
+ <modified>2014-02-12T09:23:51</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="Material_001-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.88 0.88 0.88 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.5 0.5 0.5 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ <extra>
+ <technique profile="GOOGLEEARTH">
+ <double_sided>1</double_sided>
+ </technique>
+ </extra>
+ </profile_COMMON>
+ <extra><technique profile="MAX3D"><double_sided>1</double_sided></technique></extra>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="Material_001-material" name="Material_001">
+ <instance_effect url="#Material_001-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="shape0_016-mesh" name="shape0.016">
+ <mesh>
+ <source id="shape0_016-mesh-positions">
+ <float_array id="shape0_016-mesh-positions-array" count="879">-0.01079779 0.02030777 0.03899997 -0.02132517 -0.008615911 0.03899997 0.361497 -0.01991903 0.03899997 0.369919 0.01149696 0.03899997 0.369919 -0.01149642 0.03899991 0.361497 0.01991951 0.03899997 0.06497782 -0.02299994 0.03899997 0.35 -0.0229997 0.03899997 0.361497 -0.01991903 0.03099995 0.05312931 -0.02598702 0.03899997 0.04007703 -0.04577511 0.03899997 0.0441066 -0.03423953 0.03899997 0.03738319 -0.05132973 0.03899997 0.03165352 -0.05370622 0.03899997 0.02580028 -0.05167335 0.03899997 -0.01478403 -0.01761895 0.03899997 -0.02287399 0.002404093 0.03099995 -0.02287399 0.002404093 0.03899997 -0.01906788 0.01286137 0.03899997 -0.01906788 0.01286137 0.03099995 0 0.023 0.03899997 -0.01079779 0.02030777 0.03099995 0.35 0.02300024 0.03899997 0.373 2.59985e-7 0.03899997 0.369919 0.01149696 0.03099995 0.373 2.61288e-7 0.03099995 0.369919 -0.01149642 0.03099995 0.03738319 -0.05132973 0.03099995 0.03165352 -0.05370622 0.03099995 0.04007703 -0.04577511 0.03099995 0.0441066 -0.03423953 0.03099995 -0.01478403 -0.01761895 0.03099995 0 0.023 0.03099995 0.05312931 -0.02598702 0.03099995 0.06497782 -0.02299994 0.03099995 0.35 -0.0229997 0.03099995 0.361497 0.01991951 0.03099995 0.35 0.02300024 0.03099995 -0.02132517 -0.008615911 0.03099995 0.02580028 -0.05167335 0.03099995 -0.007117986 -0.009422481 0.03099995 -0.007117986 -0.009422481 0.03899997 0.304611 0.02500021 -0.02149999 0.247209 0.02500015 -0.01008188 0.304611 0.02500015 0.02149993 0.102652 0.02500003 0.01861774 0.04549998 0.02499997 0.03899997 0.138238 0.02500009 0.003828108 0.136072 0.02500009 0.007069468 0.239762 0.02500015 0.003828048 0.275348 0.02500015 0.01861774 0.3324999 0.02500021 -0.03899997 0.102652 0.02500003 -0.0186178 0.07338875 0.02500003 -0.02149999 0.136072 0.02500009 -0.007069528 0.1389999 0.02500009 0 0.04549998 0.02500003 -0.03899997 0.04549998 0.02500003 -0.02149999 0.130791 0.02500009 -0.01008188 0.1328269 0.02500009 -0.009238779 0.138238 0.02500009 -0.003828108 0.1328269 0.02500009 0.009238779 0.130791 0.02500003 0.01008188 0.07338875 0.02500003 0.02149999 0.04549998 0.02500003 0.02149999 0.04399996 0.02499997 0.023 0.04399996 0.02499997 0.03749996 0.3324999 0.02500021 0.03899997 0.3339999 0.02500021 0.03749996 0.3339999 0.02500021 0.02299994 0.3324999 0.02500021 0.02149993 0.247209 0.02500015 0.01008188 0.2451729 0.02500015 0.009238779 0.2419279 0.02500015 0.007069468 0.2389999 0.02500015 0 0.239762 0.02500015 -0.003828108 0.2419279 0.02500015 -0.007069528 0.2451729 0.02500015 -0.009238779 0.275348 0.02500015 -0.0186178 0.3324999 0.02500021 -0.02149999 0.3339999 0.02500021 -0.023 0.3339999 0.02500021 -0.03750002 0.04399996 0.02500003 -0.03749996 0.04399996 0.02500003 -0.023 0.2379999 0.02500015 -0.03899997 0.2379999 0.02500015 0.03899997 0.2379999 0.02500015 0 0.1399999 0.02500009 0 0.2379999 0.02500015 0.004999935 0.1399999 0.02500009 0.004999935 0.1399999 0.02500009 0.03899997 0.1399999 0.02500009 -0.03899997 0.1399999 0.02500009 -0.004999995 0.2379999 0.02500015 -0.004999995 0.29 0.02500015 0.03899997 0.29 0.02500015 -0.03899997 0.08999997 0.02500003 -0.03899997 0.08999997 0.02500003 0.03899997 0.304611 0.02300018 -0.02149999 0.247209 0.02300012 -0.01008188 0.304611 0.02300018 0.02149993 0.102652 0.02300006 0.01861774 0.04549998 0.023 0.03899997 0.138238 0.02300006 0.003828108 0.136072 0.02300006 0.007069468 0.239762 0.02300012 0.003828048 0.275348 0.02300018 0.01861774 0.3324999 0.02300018 -0.03899997 0.102652 0.02300006 -0.0186178 0.07338875 0.023 -0.02149999 0.136072 0.02300006 -0.007069468 0.1389999 0.02300006 0 0.04549998 0.023 -0.03899997 0.04549998 0.023 -0.02149999 0.130791 0.02300006 -0.01008188 0.1328269 0.02300006 -0.009238779 0.138238 0.02300006 -0.003828108 0.1328269 0.02300006 0.009238779 0.130791 0.02300006 0.01008188 0.07338875 0.023 0.02149999 0.04549998 0.023 0.02149999 0.04399996 0.023 0.023 0.04399996 0.023 0.03749996 0.3324999 0.02300018 0.03899997 0.3339999 0.02300018 0.03749996 0.3339999 0.02300018 0.02299994 0.3324999 0.02300018 0.02149993 0.247209 0.02300012 0.01008188 0.2451729 0.02300012 0.009238779 0.2419279 0.02300012 0.007069468 0.2389999 0.02300012 0 0.239762 0.02300012 -0.003828108 0.2419279 0.02300012 -0.007069528 0.2451729 0.02300012 -0.009238779 0.275348 0.02300018 -0.0186178 0.3324999 0.02300018 -0.02149999 0.3339999 0.02300018 -0.023 0.3339999 0.02300018 -0.03750002 0.04399996 0.023 -0.03749996 0.04399996 0.023 -0.023 0.2379999 0.02300012 -0.03899997 0.2379999 0.02300012 0.03899997 0.2379999 0.02300012 0 0.1399999 0.02300006 0 0.2379999 0.02300012 0.004999935 0.1399999 0.02300006 0.004999935 0.1399999 0.02300006 0.03899997 0.1399999 0.02300006 -0.03899997 0.1399999 0.02300006 -0.004999995 0.2379999 0.02300012 -0.004999995 0.29 0.02300018 0.03899997 0.29 0.02300018 -0.03899997 0.08999997 0.02300006 -0.03899997 0.08999997 0.02300006 0.03899997 0.287865 -0.02499979 0.03104996 0.332465 -0.02299976 0.03104996 0.332465 -0.02499973 0.03104996 0.09246492 -0.02499991 0.03899997 0.332465 -0.02499973 0.03899997 0.287865 -0.02299976 0.03104996 0.332465 -0.02299976 0.03899997 0.332465 -0.02299976 -0.03899997 0.332465 -0.02299976 -0.03105002 0.332465 -0.02499973 -0.03899997 0.332465 -0.02499973 -0.03105002 0.285865 -0.02299976 0.02904993 0.285865 -0.02299976 0.02149993 0.137465 -0.02299988 0.02149999 0.09246486 -0.02299994 0.02399998 0.09246492 -0.02299994 0.03899997 0.137465 -0.02499991 0.02399998 0.137465 -0.02299988 0.02399998 0.137465 -0.02499985 0.02249997 0.137465 -0.02285349 0.02114635 0.286451 -0.02299976 0.03046387 0.137465 -0.02249985 0.02099996 0.137465 -0.01202499 0.01997488 0.137465 -0.0144999 0.02099996 0.285865 -0.01449978 0.02099996 0.285865 -0.02285337 0.02114635 0.285865 -0.02397465 0.02002507 0.285865 -0.02249979 0.02099996 0.285865 -0.01099979 0.01749998 0.137465 -0.01099985 0.01749998 0.137465 -0.01099985 -0.01749998 0.285865 -0.01202487 -0.01997488 0.285865 -0.01099979 -0.01749998 0.285865 -0.01299977 0.01849997 0.137465 -0.0144999 -0.02099996 0.285865 -0.02249979 -0.02100002 0.137465 -0.02249985 -0.02099996 0.285865 -0.02285337 -0.02114641 0.285865 -0.01449978 -0.02100002 0.09246486 -0.02299988 -0.03899997 0.09246486 -0.02299988 -0.02399998 0.137465 -0.02299988 -0.02399998 0.137465 -0.02499985 -0.02249997 0.137465 -0.02299988 -0.02149999 0.285865 -0.02299976 -0.02149999 0.137465 -0.02285349 -0.02114641 0.287865 -0.02299976 -0.03105002 0.286451 -0.02499979 -0.03046387 0.286451 -0.02299976 -0.03046387 0.285865 -0.02299976 -0.02904999 0.09246492 -0.02499991 -0.03899997 0.137465 -0.02499985 -0.02399998 0.09246492 -0.02499991 -0.02399998 0.287865 -0.02499979 -0.03105002 0.285865 -0.02499979 -0.02904999 0.285865 -0.02397465 -0.02002507 0.285865 -0.02499979 -0.02249997 0.137465 -0.02149987 -0.01899999 0.137465 -0.01349985 -0.01899999 0.285865 -0.01349979 -0.01899999 0.285865 -0.02149975 -0.01899999 0.137465 -0.02397477 -0.02002507 0.285865 -0.01299977 -0.01849997 0.137465 -0.01299989 0.01849997 0.137465 -0.01202499 -0.01997488 0.137465 -0.01299989 -0.01849997 0.137465 -0.01314628 -0.0188536 0.285865 -0.01314616 -0.0188536 0.137465 -0.01349985 0.01899999 0.137465 -0.01314628 0.01885354 0.137465 -0.02149987 0.01899999 0.285865 -0.01202487 0.01997482 0.285865 -0.02149981 0.01899993 0.285865 -0.01314616 0.01885354 0.285865 -0.01349979 0.01899993 0.09246492 -0.02499991 0.02399998 0.285865 -0.02499979 0.02249997 0.286451 -0.02499979 0.03046387 0.285865 -0.02499979 0.02904993 0.137465 -0.02397477 0.02002507 0.137465 -0.02499991 0.03899997 0.137465 -0.02499985 -0.03899997 0.285 -0.02499979 -0.03899997 0.287865 -0.02499979 -0.03899997 0.287865 -0.02499979 0.03899997 0.285 -0.02499979 0.03199994 0.285 -0.02499979 0.03899997 0.285 -0.02499979 -0.032 0.137465 -0.02299988 0.03899997 0.137465 -0.02299988 -0.03899997 0.285 -0.02299976 -0.03899997 0.287865 -0.02299976 -0.03899997 0.287865 -0.02299976 0.03899997 0.285 -0.02299976 0.03899997 0.285 -0.02299976 -0.03899997 0.285 -0.02299976 -0.032 0.285 -0.02299976 0.03199994 -0.01079779 0.02030777 -0.03099995 -0.02132517 -0.008615911 -0.03099995 0.361497 -0.01991903 -0.03100001 0.369919 0.01149696 -0.03100001 0.369919 -0.01149642 -0.03100001 0.361497 0.01991951 -0.03100001 0.06497776 -0.02299994 -0.03099995 0.35 -0.02299976 -0.03100001 0.361497 -0.01991903 -0.03899997 0.05312931 -0.02598702 -0.03099995 0.04007703 -0.04577511 -0.03099995 0.0441066 -0.03423953 -0.03099995 0.03738319 -0.05132973 -0.03100001 0.03165352 -0.05370622 -0.03100001 0.02580028 -0.05167335 -0.03100001 -0.01478403 -0.01761895 -0.03099995 -0.02287399 0.002404093 -0.03899997 -0.02287399 0.002404093 -0.03099995 -0.01906788 0.01286137 -0.03099995 -0.01906788 0.01286137 -0.03899997 0 0.023 -0.03099995 -0.01079779 0.02030777 -0.03899997 0.35 0.02300024 -0.03100001 0.373 2.59985e-7 -0.03100001 0.369919 0.01149696 -0.03899997 0.373 2.61288e-7 -0.03899997 0.369919 -0.01149642 -0.03900003 0.03738319 -0.05132973 -0.03899997 0.03165352 -0.05370622 -0.03899997 0.04007703 -0.04577511 -0.03899997 0.0441066 -0.03423953 -0.03899997 -0.01478403 -0.01761895 -0.03899997 0 0.023 -0.03899997 0.05312931 -0.02598702 -0.03899997 0.06497776 -0.02299994 -0.03899997 0.35 -0.0229997 -0.03899997 0.361497 0.01991951 -0.03899997 0.35 0.02300024 -0.03899997 -0.02132517 -0.008615911 -0.03899997 0.02580028 -0.05167335 -0.03899997 -0.007117986 -0.009422481 -0.03899997 -0.007117986 -0.009422481 -0.03099995</float_array>
+ <technique_common>
+ <accessor source="#shape0_016-mesh-positions-array" count="293" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shape0_016-mesh-normals">
+ <float_array id="shape0_016-mesh-normals-array" count="1704">5.45217e-7 3.24031e-7 -1 1.85703e-7 0 1 0 -1.79674e-7 1 6.79649e-7 -1 -2.32831e-7 0.2444598 -0.9696595 -2.25767e-7 0 -3.55248e-7 1 0.6749112 -0.7378991 0 0 -1.20476e-7 1 0.944059 -0.3297769 1.53564e-7 0 0 1 0.8997728 -0.4363589 -2.15794e-7 0 6.80457e-7 -1 0.3831228 -0.9236974 4.3013e-7 0 0 -1 -0.3280894 -0.9446466 4.39885e-7 -3.48987e-7 7.80899e-7 -1 -0.6427877 -0.7660444 3.56717e-7 -4.06154e-7 -2.26105e-7 -1 -0.8090164 -0.5877861 -2.73709e-7 0 -6.80457e-7 1 -0.9902677 -0.1391761 0 0 3.71457e-7 -1 -0.9396936 0.3420172 0 0 0 1 -0.6691296 0.7431458 3.28821e-7 2.48992e-7 -2.32878e-7 1 2.64321e-7 0 1 0.2588268 -0.9659237 -2.24897e-7 0 0 -1 0 2.07489e-7 -1 0.7071311 0.7070825 3.29261e-7 0 0 1 0.9659162 0.2588554 0 9.28412e-7 -4.86047e-7 1 0.9659161 -0.2588552 0 6.0456e-7 -4.86047e-7 1 0 -1.50642e-7 1 0.7071327 -0.7070809 -1.6463e-7 -0.241923 0.9702954 2.54078e-7 0 3.24031e-7 -1 1.24397e-7 0 1 -1.64993e-7 0 -1 0 1.79674e-7 -1 0 1.81552e-7 -1 0 2.33402e-7 -1 0.2588254 0.9659241 2.24897e-7 0 0 -1 -6.81196e-7 1 2.32831e-7 -2.27065e-6 1 2.12874e-7 -1.49868e-6 1 2.56917e-7 -6.65231e-7 1 0 -2.74042e-6 1 2.56917e-7 -6.65231e-7 1 1.64351e-7 -6.65231e-7 1 2.19135e-7 -3.72528e-6 1 0 -6.6523e-7 1 0 -2.86888e-6 1 3.85375e-7 -2.45757e-6 1 1.64351e-7 -2.25749e-6 1 -2.15415e-7 -2.88265e-7 1 4.31214e-7 1.47515e-6 1 8.56229e-7 -7.70902e-7 1 1.40971e-7 -5.97145e-7 1 2.46493e-7 -6.80582e-7 1 3.06473e-7 -7.01231e-7 1 1.5959e-7 -7.34666e-7 1 2.12874e-7 -7.34666e-7 1 2.12874e-7 -7.01231e-7 1 2.66158e-7 -6.17213e-7 1 1.9601e-7 -6.80582e-7 1 1.50457e-7 -5.96722e-7 1 0 -8.78962e-7 1 0 -1.55512e-6 1 2.49642e-7 -1.30713e-6 1 2.19135e-7 -1.86704e-6 1 -3.71649e-7 -1.7283e-6 1 -5.80255e-7 -6.27858e-7 1 2.7666e-7 -6.67883e-7 1 2.12874e-7 -6.69064e-7 1 3.15773e-7 0 1 0 0 1 0 0 1 1.64351e-7 -9.52672e-7 1 2.92198e-7 -2.47195e-6 1 6.58372e-7 -5.78905e-7 1 0 -7.07805e-7 1 2.91725e-7 -6.01095e-7 1 2.12874e-7 -5.86001e-7 1 1.88819e-7 -7.65621e-7 1 0 -7.45058e-7 1 0 -6.92721e-7 1 0 0 1 2.84534e-7 0 1 0 -5.29188e-7 1 -7.95664e-7 -1.06385e-6 1 2.19135e-7 3.14187e-7 1 3.88657e-7 1.02889e-6 -1 -2.12874e-7 1.49868e-6 -1 -2.56917e-7 6.84237e-7 -1 -7.45058e-7 -1.1133e-6 -1 -1.28458e-7 6.84237e-7 -1 0 6.84237e-7 -1 0 1.86264e-6 -1 -7.45058e-7 6.84237e-7 -1 -3.72529e-7 1.28457e-7 -1 -1.28458e-7 1.48032e-6 -1 0 2.19557e-6 -1 -1.46714e-6 7.10551e-7 -1 -2.04262e-7 1.41389e-7 -1 -3.41441e-7 7.10539e-7 -1 -1.60194e-7 7.14776e-7 -1 -1.48281e-7 7.16402e-7 -1 -1.4945e-7 7.01231e-7 -1 -1.5959e-7 7.34666e-7 -1 -2.12874e-7 6.67879e-7 -1 -2.12874e-7 6.57404e-7 -1 -2.29566e-7 6.76029e-7 -1 -2.45116e-7 7.16402e-7 -1 -2.16093e-7 6.81813e-7 -1 -1.52714e-7 8.31832e-7 -1 -2.00487e-7 4.94352e-7 -1 0 4.16469e-7 -1 0 0 -1 0 2.64591e-7 -1 -3.97835e-7 7.11572e-7 -1 -2.49685e-7 7.34671e-7 -1 -2.12874e-7 6.20442e-7 -1 -1.63183e-7 0 -1 -7.45058e-7 -4.67269e-7 -1 -8.86885e-7 0 -1 0 4.58319e-7 -1 -1.7305e-7 8.08273e-7 -1 -2.57395e-7 6.63996e-7 -1 -2.1145e-7 6.33299e-7 -1 -1.55202e-7 6.67883e-7 -1 -2.12874e-7 7.11572e-7 -1 -2.82499e-7 6.68377e-7 -1 -3.23501e-7 6.33299e-7 -1 -3.01727e-7 7.10539e-7 -1 -1.60195e-7 9.49663e-7 -1 0 2.15286e-6 -1 0 1.46373e-6 -1 -9.78107e-7 1.00612e-6 -1 0 6.74518e-7 -1 -1.5036e-7 -1 0 0 -0.2902854 0 0.9569401 -0.5557529 0 0.8313477 -0.8314496 3.88082e-7 0.5556001 -0.9807595 0 0.1952198 -0.9807596 0 -0.1952198 -0.8314496 0 -0.5556002 -0.5557531 -3.87125e-7 -0.8313474 -0.3825926 0 -0.9239172 -0.2902856 0 -0.95694 -0.09801799 9.26837e-7 -0.9951847 0 9.31322e-7 -1 -0.7071067 0 -0.7071067 -0.7071059 0 0.7071077 0 0 -1 0.7071042 0 0.7071095 0 0 -1 0 0 1 0.7071042 6.58546e-7 -0.7071095 0 0 -1 -1.33576e-7 0 -1 0.09801864 9.26839e-7 -0.9951846 0.2902856 8.91219e-7 -0.95694 0 0 1 0.3825898 0 -0.9239183 0.5557533 0 -0.8313472 0.8314513 -3.88079e-7 -0.5555977 0.9807581 0 -0.1952272 0.9807581 0 0.1952271 0.8314515 0 0.5555974 0.5557531 3.87126e-7 0.8313475 0.3825898 0 0.9239184 0.2902857 0 0.9569401 0.0980187 -9.26838e-7 0.9951846 1 0 0 1.33576e-7 -9.31323e-7 1 0.7071032 0 -0.7071102 0.7071042 -6.58547e-7 0.7071095 0 0 1 -0.7071068 -6.58545e-7 0.7071068 -0.7071067 0 -0.7071067 1.33577e-7 -9.31322e-7 1 -0.09801787 -3.65145e-7 0.9951847 1 0 0 -1 0 2.56917e-7 -0.3825922 0 0.9239174 0 0 1 0 0 -1 0 0 -1 1.49012e-7 0 1 1 0 0 0 0 -1 0 0 -1 1 0 0 1.9504e-6 -1 0 1.78443e-6 -1 7.39572e-7 1 0 0 1 0 0 0 0 1 7.38367e-7 -1 -2.66092e-7 6.69131e-7 -1 -2.48353e-7 0 0 1 -1 0 0 0 9.31321e-7 -1 0 9.31322e-7 -1 -1 0 0 -1 0 0 1 0 0 1 0 0 1 0 0 0.9237996 0 -0.3828766 1 0 0 0.3829073 0 -0.9237868 0.9237996 0 -0.3828766 0.3829073 0 -0.9237868 -1 0 4.96705e-7 -1 -3.72529e-6 0 0 0 1 -1 0 0 -2.01295e-7 0.3825402 0.9239388 -1 0 0 -1 0 0 0 2.32831e-7 1 -1.92192e-7 0.3826707 0.9238848 -2.0419e-7 0.3826713 0.9238845 1 3.72529e-6 -5.63588e-6 1 2.51951e-6 6.08288e-6 1 0 0 -1.94498e-7 0.3825378 0.9239399 -1 0 0 -6.03172e-7 0.9238845 0.3826716 -1 0 0 -1 0 0 -6.60809e-7 0.9238845 -0.3826716 -1 0 0 -1 0 0 -6.56039e-7 0.9238845 -0.3826713 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 -6.07975e-7 0.9238845 0.3826713 0 0 -1 -1 0 0 -3.31347e-7 0.3826719 -0.9238843 -1 0 0 0 -2.32831e-7 -1 -3.22064e-7 0.3825402 -0.9239388 -3.28849e-7 0.3825378 -0.9239399 -1 0 0 1 3.72529e-6 -8.99394e-6 1 2.47821e-6 3.74923e-6 1 0 0 -3.19751e-7 0.3826725 -0.923884 -1 0 0 -1 0 0 -1 0 0 0 -9.31322e-7 1 -1 0 0 -1 -3.72529e-6 0 0 -9.31321e-7 1 -1 -3.72529e-6 0 0.3829084 0 0.9237864 0.9237993 0 0.382877 0.3829084 0 0.9237864 1 0 0 0.9237993 0 0.382877 1 0 0 1 0 0 6.50208e-7 -0.9238843 0.382672 6.54894e-7 -0.9238844 0.3826717 1 0 0 0 0 1 -1 0 0 3.33748e-7 -0.3826721 0.9238842 -1 0 0 0 -2.3283e-7 1 3.19662e-7 -0.3825377 0.9239398 3.31288e-7 -0.382542 0.9239382 -1 0 0 1 3.72529e-6 -8.99397e-6 1 0 0 1 2.47821e-6 3.74922e-6 3.28945e-7 -0.382672 0.9238843 6.60836e-7 -0.923939 0.3825398 -1 0 0 6.03219e-7 -0.923939 -0.3825398 6.03213e-7 -0.923939 -0.3825398 1 0 0 6.60836e-7 -0.923939 0.3825398 0 0 -1 -1 0 0 2.01294e-7 -0.3825386 -0.9239395 -1 0 0 -1 0 0 0 2.3283e-7 -1 1.89791e-7 -0.3826716 -0.9238845 2.05906e-7 -0.3826707 -0.9238848 1 3.72529e-6 -5.6359e-6 1 2.51951e-6 6.08286e-6 1 0 0 1.921e-7 -0.382542 -0.9239382 6.90333e-7 -1 -1.24176e-6 6.08969e-7 -0.9238842 -0.3826721 -1 0 0 6.13772e-7 -0.923884 -0.3826724 -6.84058e-7 1 1.86265e-7 6.84058e-7 -1 -1.76196e-7 6.62273e-7 -1 -1.24176e-7 -2.24257e-7 -1 2.63699e-6 6.81756e-7 -1 -1.24176e-7 6.62273e-7 -1 -2.48353e-7 7.09977e-7 -1 -4.6859e-7 7.09977e-7 -1 -4.6859e-7 1.89328e-6 -1 1.78841e-6 6.71085e-7 -1 1.96779e-7 0 -1 0 7.38489e-7 -1 1.04627e-6 6.97136e-7 -1 -5.68746e-7 7.02885e-7 -1 0 0 0 1 0 0 -1 0 0 1 0 0 -1 -7.09977e-7 1 4.6859e-7 0 0 1 0 0 1 0 0 -1 0 0 -1 -2.25447e-6 1 -9.17016e-7 -2.2151e-6 1 7.98277e-7 -1.9504e-6 1 0 -7.09977e-7 1 2.34295e-7 -8.92214e-7 1 3.69786e-7 -1.08357e-6 1 -2.61418e-6 -2.67664e-6 1 -1.10936e-6 -6.62273e-7 1 1.24176e-7 -6.13219e-7 1 7.98277e-7 -7.47336e-7 1 -1.67508e-6 -6.77782e-7 1 4.93416e-7 -6.50237e-7 0.9239399 -0.3825378 -6.56506e-7 1 0 -6.62273e-7 1 2.48353e-7 -6.79932e-7 1 4.32032e-7 -6.82021e-7 1 4.93416e-7 -5.97422e-7 0.9239409 0.3825353 -6.77782e-7 1 7.45058e-7 9.28408e-7 4.86047e-7 -1 0 -2.07489e-7 1 0 -1.79674e-7 1 6.79649e-7 -1 -4.65661e-7 0.2444598 -0.9696595 -4.51533e-7 -1.48179e-7 -5.15112e-7 1 0.6749112 -0.7378991 0 0 -2.07058e-7 1 0.944059 -0.3297769 1.53564e-7 0 0 1 0.8997728 -0.4363586 2.03195e-7 0 6.80456e-7 -1 0.383122 -0.9236977 4.3013e-7 0 0 -1 -0.3280889 -0.9446468 4.39886e-7 -2.48992e-7 2.32878e-7 -1 -0.6427876 -0.7660444 3.56717e-7 -2.64321e-7 0 -1 -0.8090165 -0.587786 -1.36855e-7 0 -6.80456e-7 1 -0.9902676 -0.1391761 1.81958e-7 0 0 -1 -0.9396936 0.3420174 0 0 -3.71457e-7 1 -0.6691296 0.7431457 1.73027e-7 3.48987e-7 -7.80898e-7 1 4.06154e-7 2.26105e-7 1 0.2588267 -0.9659238 -2.24897e-7 0 0 -1 -1.85703e-7 0 -1 0.707131 0.7070827 1.64631e-7 0 0 1 0.965916 0.2588553 0 5.4522e-7 -3.24031e-7 1 0.9659162 -0.2588552 0 0 -3.24031e-7 1 0 -1.4141e-7 1 0.7071328 -0.7070808 -1.6463e-7 -0.2419229 0.9702954 4.51829e-7 -6.0456e-7 4.86047e-7 -1 1.55496e-7 0 1 0 0 -1 0 1.79674e-7 -1 -3.20405e-7 -2.11015e-7 -1 -1.85332e-7 0 -1 0.2588254 0.9659242 4.49794e-7 0 0 -1 -6.81196e-7 1 4.65661e-7 -3.14681e-7 0 -1 2.63316e-7 2.02668e-7 1 6.79649e-7 -1 -2.32831e-7 0.2444596 -0.9696595 0 0 0 1 0.6749109 -0.7378992 3.43611e-7 0.944059 -0.3297767 -2.86048e-7 0.8997725 -0.4363594 2.03196e-7 0.3831228 -0.9236974 4.3013e-7 -0.3280894 -0.9446466 4.39885e-7 -0.6427876 -0.7660445 -3.56717e-7 -0.8090165 -0.587786 -1.36855e-7 -0.9902676 -0.1391761 0 0 3.9163e-7 -1 -0.9396936 0.3420174 2.98422e-7 0 -4.28281e-7 1 -0.6691296 0.7431458 2.50924e-7 0.2588268 -0.9659237 -2.24897e-7 0 0 -1 0.707131 0.7070826 1.6463e-7 0 0 1 0.9659162 0.2588553 0 -5.35844e-7 0 1 0.9659162 -0.2588552 0 0 0 1 0.7071327 -0.7070809 -1.6463e-7 -0.241923 0.9702954 2.44179e-7 0 3.73007e-7 -1 -2.63316e-7 -2.02667e-7 -1 0.2588256 0.9659241 4.49793e-7 0 1.4141e-7 -1 -6.81196e-7 1 2.32831e-7 -2.74044e-6 1 2.56916e-7 -1.02889e-6 1 2.12874e-7 -6.65231e-7 1 0 -2.27064e-6 1 2.12874e-7 -6.65231e-7 1 1.64351e-7 -6.65231e-7 1 2.19135e-7 -1.86704e-6 1 3.71649e-7 -6.65231e-7 1 0 -1.02888e-6 1 2.12874e-7 -3.72528e-6 1 0 0 1 0 0 1 0 1.28458e-7 -1 -1.28458e-7 1.02889e-6 -1 -2.12874e-7 6.84237e-7 -1 -7.45058e-7 -2.12872e-7 -1 -2.12874e-7 6.84237e-7 -1 0 6.84237e-7 -1 0 2.80056e-6 -1 -5.57473e-7 6.84237e-7 -1 -3.72529e-7 1.02888e-6 -1 -2.12874e-7 1.86264e-6 -1 -3.72529e-7 -6.47761e-7 -1 -6.15506e-7 0 -1 -3.72529e-7 -1 0 0 -0.2902854 0 0.9569401 -0.5557531 5.8069e-7 0.8313474 -0.8314496 0 0.5556002 -0.9807596 0 0.1952198 -0.9807595 0 -0.1952198 -0.8314497 -2.58721e-7 -0.5556001 -0.5557533 0 -0.8313472 -0.3825926 0 -0.9239172 -0.2902856 8.91219e-7 -0.9569401 -0.09801805 5.61692e-7 -0.9951846 -1.33577e-7 0 -1 -0.7071073 6.43109e-7 -0.7071064 -0.7071059 0 0.7071077 0 0 -1 0.7071042 0 0.7071094 0 0 -1 0 0 1 0.7071045 0 -0.7071089 0 0 -1 0 9.31323e-7 -1 0.09801864 9.26837e-7 -0.9951846 0.2902855 0 -0.95694 0 0 1 0.3825898 0 -0.9239184 0.5557531 -5.80688e-7 -0.8313474 0.8314514 0 -0.5555974 0.9807581 0 -0.1952272 0.9807581 0 0.1952271 0.8314514 2.5872e-7 0.5555975 0.5557532 0 0.8313474 0.3825898 0 0.9239184 0.2902857 -8.9122e-7 0.95694 0.0980187 -9.26839e-7 0.9951846 1 0 0 1.33576e-7 -9.31322e-7 1 0.7071033 0 -0.7071103 0.7071042 -6.58547e-7 0.7071094 0 0 1 -0.7071067 -6.58544e-7 0.7071067 -0.7071068 0 -0.7071068 0 0 1 -0.09801793 0 0.9951847 1 0 0 -1 0 2.56917e-7 -0.3825922 0 0.9239173 0 0 1 0 0 -1 0 0 -1 1.49012e-7 0 1 1.21204e-6 -1 -2.66092e-7 2.60054e-6 -1 -9.3718e-7 6.67327e-7 -1 -2.66092e-7 -6.84058e-7 1 1.86265e-7 6.84058e-7 -1 -1.76196e-7 6.62273e-7 -1 -1.24176e-7 6.96184e-7 -1 -2.66092e-7 6.62273e-7 -1 -2.48353e-7 6.2645e-7 -1 -9.3718e-7 6.2645e-7 -1 0 6.77782e-7 -1 -5.68747e-7 0 0 1 0 0 -1 0 0 1 0 0 -1 -6.68213e-7 1 2.34295e-7 0 0 1 0 0 1 0 0 -1 0 0 -1 -1.30027e-6 1 4.6859e-7 -1.30027e-6 1 2.34295e-7 -6.68213e-7 1 4.6859e-7 -6.62273e-7 1 1.24177e-7 -6.81756e-7 1 1.24177e-7 -6.64979e-7 1 7.45058e-7 -6.55039e-7 0.9239405 -0.3825361 -6.81756e-7 1 2.48352e-7 -6.62272e-7 1 2.48352e-7 -6.09017e-7 0.9239391 0.3825395 -5.35845e-7 0 -1 2.63316e-7 2.02668e-7 1 6.79649e-7 -1 -4.65661e-7 0.2444595 -0.9696595 0 1.64993e-7 0 1 0.6749109 -0.7378993 3.43611e-7 0.944059 -0.3297769 1.53564e-7 0.8997728 -0.4363586 2.03195e-7 0.383122 -0.9236978 4.3013e-7 -0.3280889 -0.9446468 4.39886e-7 -0.6427875 -0.7660444 -1.78359e-7 -0.8090165 -0.5877859 0 -0.9902676 -0.1391763 0 0 4.28281e-7 -1 -0.9396936 0.3420174 0 0 -3.9163e-7 1 -0.6691296 0.7431458 3.46054e-7 0.2588269 -0.9659238 -4.49793e-7 0 0 -1 0.7071309 0.7070826 1.64631e-7 0 0 1 0.9659162 0.2588553 0 -3.1468e-7 0 1 0.9659161 -0.2588552 0 0 0 1 0.7071328 -0.7070808 -1.6463e-7 -0.2419229 0.9702955 4.70094e-7 2.40887e-7 6.39458e-7 -1 -2.63316e-7 -2.02668e-7 -1 0.2588253 0.9659242 2.24897e-7 0 1.50642e-7 -1 -6.81196e-7 1 4.65661e-7</float_array>
+ <technique_common>
+ <accessor source="#shape0_016-mesh-normals-array" count="568" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shape0_016-mesh-vertices">
+ <input semantic="POSITION" source="#shape0_016-mesh-positions"/>
+ </vertices>
+ <polylist material="Material_001-material" count="568">
+ <input semantic="VERTEX" source="#shape0_016-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#shape0_016-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>24 0 26 0 36 0 17 1 41 1 18 1 6 2 20 2 0 2 35 3 7 3 34 3 34 4 6 4 33 4 18 5 11 5 9 5 33 6 9 6 30 6 41 7 11 7 18 7 30 8 11 8 29 8 14 9 13 9 12 9 29 10 10 10 27 10 27 11 39 11 29 11 27 12 12 12 28 12 27 13 28 13 39 13 28 14 13 14 39 14 38 15 40 15 31 15 39 16 14 16 31 16 38 17 16 17 40 17 31 18 15 18 38 18 14 19 12 19 10 19 38 20 1 20 16 20 40 21 29 21 31 21 16 22 17 22 19 22 41 23 15 23 10 23 19 24 18 24 21 24 15 25 41 25 1 25 41 26 17 26 1 26 8 27 2 27 35 27 35 28 37 28 8 28 16 29 19 29 40 29 36 30 5 30 24 30 22 31 7 31 5 31 24 32 3 32 25 32 4 33 3 33 2 33 25 34 23 34 26 34 4 35 23 35 3 35 6 36 7 36 20 36 26 37 4 37 8 37 21 38 0 38 32 38 24 39 25 39 26 39 11 40 41 40 10 40 21 41 33 41 19 41 21 42 32 42 34 42 40 43 30 43 29 43 19 44 30 44 40 44 37 45 22 45 36 45 37 46 35 46 32 46 22 47 37 47 20 47 56 48 82 48 57 48 66 49 46 49 65 49 86 50 87 50 88 50 69 51 70 51 68 51 88 52 89 52 85 52 84 53 91 53 93 53 86 54 88 54 74 54 93 55 92 55 86 55 81 56 51 56 80 56 88 57 85 57 73 57 73 58 49 58 88 58 85 59 72 59 73 59 85 60 71 60 72 60 85 61 50 61 71 61 94 62 44 62 50 62 50 63 85 63 94 63 94 64 67 64 44 64 70 65 44 65 67 65 51 66 42 66 79 66 42 67 51 67 95 67 78 68 42 68 95 68 95 69 84 69 78 69 84 70 43 70 78 70 77 71 43 71 84 71 76 72 77 72 84 72 76 73 84 73 93 73 75 74 93 74 74 74 93 75 75 75 76 75 63 76 46 76 97 76 64 77 46 77 63 77 97 78 45 78 63 78 55 79 47 79 89 79 47 80 48 80 89 80 48 81 90 81 89 81 90 82 48 82 61 82 90 83 61 83 62 83 62 84 45 84 90 84 97 85 90 85 45 85 57 86 53 86 56 86 96 87 56 87 53 87 53 88 52 88 96 88 52 89 91 89 96 89 91 90 52 90 58 90 91 91 58 91 59 91 60 92 55 92 92 92 92 93 54 93 60 93 92 94 91 94 54 94 59 95 54 95 91 95 112 96 113 96 138 96 122 97 121 97 102 97 142 98 144 98 143 98 125 99 124 99 126 99 144 100 141 100 145 100 140 101 149 101 147 101 142 102 130 102 144 102 149 103 142 103 148 103 137 104 136 104 107 104 144 105 129 105 141 105 129 106 144 106 105 106 141 107 129 107 128 107 141 108 128 108 127 108 141 109 127 109 106 109 150 110 106 110 100 110 106 111 150 111 141 111 150 112 100 112 123 112 126 113 123 113 100 113 107 114 135 114 98 114 98 115 151 115 107 115 134 116 151 116 98 116 151 117 134 117 140 117 140 118 134 118 99 118 133 119 140 119 99 119 132 120 140 120 133 120 132 121 149 121 140 121 131 122 130 122 149 122 149 123 132 123 131 123 119 124 153 124 102 124 120 125 119 125 102 125 153 126 119 126 101 126 111 127 143 127 145 127 103 128 145 128 104 128 104 129 145 129 146 129 146 130 117 130 104 130 146 131 118 131 117 131 118 132 146 132 101 132 153 133 101 133 146 133 113 134 112 134 109 134 152 135 109 135 112 135 109 136 152 136 108 136 108 137 152 137 147 137 147 138 114 138 108 138 147 139 115 139 114 139 116 140 148 140 111 140 148 141 116 141 110 141 148 142 110 142 147 142 115 143 147 143 110 143 82 144 138 144 83 144 52 145 108 145 58 145 59 146 115 146 54 146 54 147 110 147 60 147 60 148 116 148 55 148 55 149 111 149 47 149 47 150 103 150 48 150 48 151 104 151 117 151 61 152 117 152 118 152 62 153 118 153 45 153 45 154 101 154 63 154 63 155 119 155 64 155 64 156 120 156 121 156 66 157 122 157 46 157 96 158 152 158 56 158 67 159 123 159 68 159 95 160 151 160 84 160 94 161 85 161 150 161 69 162 125 162 126 162 84 163 140 163 91 163 70 164 126 164 44 164 44 165 100 165 50 165 50 166 106 166 71 166 85 167 90 167 141 167 71 168 127 168 72 168 72 169 128 169 73 169 73 170 129 170 49 170 49 171 105 171 74 171 74 172 130 172 75 172 75 173 131 173 76 173 76 174 132 174 77 174 77 175 133 175 43 175 43 176 99 176 78 176 78 177 134 177 42 177 80 178 136 178 81 178 42 179 98 179 79 179 81 180 137 180 107 180 79 181 135 181 80 181 97 182 46 182 153 182 83 183 139 183 57 183 56 184 112 184 138 184 57 185 113 185 53 185 53 186 109 186 52 186 68 187 124 187 69 187 65 188 121 188 66 188 58 189 114 189 59 189 67 190 94 190 123 190 51 191 107 191 95 191 91 192 147 192 96 192 90 193 97 193 146 193 160 194 156 194 155 194 154 195 155 195 156 195 154 196 159 196 155 196 160 197 158 197 156 197 238 198 240 198 154 198 208 199 241 199 201 199 163 200 161 200 162 200 164 201 163 201 162 201 200 202 164 202 162 202 241 203 236 203 207 203 205 204 235 204 236 204 207 205 164 205 200 205 170 206 171 206 167 206 229 207 168 207 171 207 229 208 171 208 170 208 170 209 167 209 172 209 173 210 172 210 167 210 230 211 166 211 165 211 180 212 166 212 230 212 179 213 166 213 180 213 232 214 165 214 174 214 230 215 165 215 232 215 231 216 174 216 159 216 232 217 174 217 231 217 231 218 159 218 154 218 169 219 168 219 157 219 157 220 168 220 229 220 181 221 177 221 175 221 176 222 175 222 177 222 173 223 181 223 175 223 233 224 173 224 175 224 176 225 233 225 175 225 181 226 178 226 177 226 225 227 177 227 178 227 176 228 177 228 225 228 180 229 178 229 181 229 225 230 178 230 180 230 179 231 180 231 181 231 173 232 179 232 181 232 217 233 183 233 184 233 176 234 182 234 183 234 223 235 183 235 217 235 176 236 183 236 223 236 185 237 184 237 186 237 217 238 184 238 219 238 218 239 219 239 184 239 218 240 184 240 185 240 216 241 186 241 182 241 221 242 186 242 216 242 185 243 186 243 221 243 216 244 182 244 187 244 225 245 187 245 182 245 176 246 225 246 182 246 192 247 190 247 188 247 215 248 188 248 190 248 218 249 192 249 188 249 218 250 188 250 215 250 192 251 189 251 190 251 191 252 190 252 189 252 199 253 190 253 191 253 215 254 190 254 199 254 185 255 189 255 192 255 209 256 189 256 185 256 209 257 191 257 189 257 218 258 185 258 192 258 196 259 197 259 195 259 215 260 197 260 196 260 215 261 199 261 197 261 205 262 195 262 194 262 196 263 195 263 205 263 206 264 194 264 193 264 206 265 205 265 194 265 206 266 193 266 204 266 207 267 200 267 202 267 201 268 202 268 203 268 207 269 202 269 201 269 208 270 203 270 198 270 201 271 203 271 208 271 208 272 198 272 210 272 191 273 210 273 198 273 209 274 196 274 210 274 215 275 196 275 209 275 209 276 210 276 191 276 214 277 212 277 211 277 218 278 211 278 212 278 215 279 214 279 211 279 218 280 215 280 211 280 214 281 213 281 212 281 221 282 212 282 213 282 220 283 212 283 221 283 218 284 212 284 220 284 209 285 213 285 214 285 185 286 221 286 213 286 209 287 185 287 213 287 215 288 209 288 214 288 220 289 216 289 219 289 218 290 220 290 219 290 227 291 217 291 187 291 223 292 217 292 227 292 225 293 227 293 187 293 220 294 221 294 216 294 228 295 224 295 222 295 233 296 222 296 224 296 223 297 228 297 222 297 176 298 223 298 222 298 176 299 222 299 233 299 228 300 226 300 224 300 180 301 224 301 226 301 233 302 224 302 180 302 225 303 226 303 228 303 225 304 180 304 226 304 225 305 228 305 227 305 223 306 227 306 228 306 230 307 170 307 172 307 233 308 230 308 172 308 233 309 172 309 173 309 233 310 180 310 230 310 184 311 183 311 186 311 219 312 216 312 217 312 170 313 234 313 229 313 241 314 207 314 201 314 240 315 234 315 170 315 205 316 206 316 235 316 164 317 207 317 163 317 156 318 158 318 154 318 239 319 231 319 154 319 232 320 239 320 170 320 239 321 232 321 231 321 208 322 205 322 241 322 232 323 170 323 230 323 205 324 208 324 196 324 240 325 238 325 246 325 237 326 236 326 245 326 234 327 240 327 242 327 236 328 235 328 244 328 200 329 162 329 245 329 238 330 158 330 246 330 157 331 234 331 169 331 163 332 237 332 161 332 235 333 204 333 243 333 250 334 159 334 174 334 249 335 200 335 248 335 250 336 247 336 159 336 159 337 246 337 155 337 250 338 174 338 165 338 249 339 202 339 200 339 202 340 249 340 203 340 194 341 195 341 193 341 249 342 244 342 195 342 195 343 203 343 249 343 197 344 198 344 203 344 198 345 197 345 191 345 250 346 171 346 247 346 169 347 242 347 168 347 250 348 165 348 171 348 165 349 166 349 171 349 167 350 166 350 173 350 166 351 167 351 171 351 275 352 277 352 287 352 268 353 292 353 269 353 257 354 271 354 251 354 286 355 258 355 285 355 285 356 257 356 284 356 269 357 262 357 260 357 284 358 260 358 281 358 292 359 262 359 269 359 281 360 262 360 280 360 265 361 264 361 263 361 280 362 261 362 278 362 278 363 290 363 280 363 278 364 263 364 279 364 278 365 279 365 290 365 279 366 264 366 290 366 289 367 291 367 282 367 290 368 265 368 282 368 289 369 267 369 291 369 282 370 266 370 289 370 265 371 263 371 261 371 289 372 252 372 267 372 291 373 280 373 282 373 267 374 268 374 270 374 292 375 266 375 261 375 270 376 269 376 272 376 266 377 292 377 252 377 292 378 268 378 252 378 259 379 253 379 286 379 286 380 288 380 259 380 267 381 270 381 291 381 287 382 256 382 275 382 273 383 258 383 256 383 275 384 254 384 276 384 255 385 254 385 253 385 276 386 274 386 277 386 255 387 274 387 254 387 257 388 258 388 271 388 277 389 255 389 259 389 272 390 251 390 283 390 275 391 276 391 277 391 262 392 292 392 261 392 272 393 284 393 270 393 272 394 283 394 285 394 291 395 281 395 280 395 270 396 281 396 291 396 288 397 273 397 287 397 288 398 286 398 283 398 273 399 288 399 271 399 26 400 8 400 36 400 9 401 6 401 0 401 7 402 6 402 34 402 6 403 9 403 33 403 0 404 18 404 9 404 9 405 11 405 30 405 11 406 10 406 29 406 10 407 12 407 27 407 12 408 13 408 28 408 13 409 14 409 39 409 14 410 15 410 31 410 15 411 1 411 38 411 1 412 17 412 16 412 29 413 39 413 31 413 17 414 18 414 19 414 15 415 14 415 10 415 18 416 0 416 21 416 2 417 7 417 35 417 37 418 36 418 8 418 5 419 3 419 24 419 7 420 2 420 5 420 3 421 23 421 25 421 3 422 5 422 2 422 23 423 4 423 26 423 7 424 22 424 20 424 4 425 2 425 8 425 0 426 20 426 32 426 33 427 30 427 19 427 33 428 21 428 34 428 22 429 5 429 36 429 35 430 34 430 32 430 37 431 32 431 20 431 82 432 83 432 57 432 46 433 64 433 65 433 87 434 89 434 88 434 70 435 67 435 68 435 89 436 90 436 85 436 91 437 92 437 93 437 88 438 49 438 74 438 92 439 87 439 86 439 51 440 79 440 80 440 93 441 86 441 74 441 87 442 55 442 89 442 55 443 87 443 92 443 113 444 139 444 138 444 121 445 120 445 102 445 144 446 145 446 143 446 124 447 123 447 126 447 141 448 146 448 145 448 149 449 148 449 147 449 130 450 105 450 144 450 142 451 143 451 148 451 136 452 135 452 107 452 130 453 142 453 149 453 103 454 111 454 145 454 148 455 143 455 111 455 138 456 139 456 83 456 108 457 114 457 58 457 115 458 110 458 54 458 110 459 116 459 60 459 116 460 111 460 55 460 111 461 103 461 47 461 103 462 104 462 48 462 61 463 48 463 117 463 62 464 61 464 118 464 118 465 101 465 45 465 101 466 119 466 63 466 119 467 120 467 64 467 65 468 64 468 121 468 122 469 102 469 46 469 152 470 112 470 56 470 123 471 124 471 68 471 151 472 140 472 84 472 85 473 141 473 150 473 70 474 69 474 126 474 140 475 147 475 91 475 126 476 100 476 44 476 100 477 106 477 50 477 106 478 127 478 71 478 90 479 146 479 141 479 127 480 128 480 72 480 128 481 129 481 73 481 129 482 105 482 49 482 105 483 130 483 74 483 130 484 131 484 75 484 131 485 132 485 76 485 132 486 133 486 77 486 133 487 99 487 43 487 99 488 134 488 78 488 134 489 98 489 42 489 136 490 137 490 81 490 98 491 135 491 79 491 51 492 81 492 107 492 135 493 136 493 80 493 46 494 102 494 153 494 139 495 113 495 57 495 82 496 56 496 138 496 113 497 109 497 53 497 109 498 108 498 52 498 124 499 125 499 69 499 121 500 122 500 66 500 114 501 115 501 59 501 94 502 150 502 123 502 107 503 151 503 95 503 147 504 152 504 96 504 97 505 153 505 146 505 240 506 239 506 154 506 236 507 237 507 207 507 241 508 205 508 236 508 183 509 182 509 186 509 216 510 187 510 217 510 234 511 157 511 229 511 239 512 240 512 170 512 206 513 204 513 235 513 207 514 237 514 163 514 158 515 238 515 154 515 208 516 210 516 196 516 247 517 240 517 246 517 236 518 244 518 245 518 240 519 247 519 242 519 235 520 243 520 244 520 162 521 161 521 245 521 158 522 160 522 246 522 234 523 242 523 169 523 237 524 245 524 161 524 204 525 193 525 243 525 200 526 245 526 248 526 247 527 246 527 159 527 246 528 160 528 155 528 195 529 243 529 193 529 244 530 243 530 195 530 195 531 197 531 203 531 197 532 199 532 191 532 171 533 242 533 247 533 242 534 171 534 168 534 166 535 179 535 173 535 277 536 259 536 287 536 260 537 257 537 251 537 258 538 257 538 285 538 257 539 260 539 284 539 251 540 269 540 260 540 260 541 262 541 281 541 262 542 261 542 280 542 261 543 263 543 278 543 263 544 264 544 279 544 264 545 265 545 290 545 265 546 266 546 282 546 266 547 252 547 289 547 252 548 268 548 267 548 280 549 290 549 282 549 268 550 269 550 270 550 266 551 265 551 261 551 269 552 251 552 272 552 253 553 258 553 286 553 288 554 287 554 259 554 256 555 254 555 275 555 258 556 253 556 256 556 254 557 274 557 276 557 254 558 256 558 253 558 274 559 255 559 277 559 258 560 273 560 271 560 255 561 253 561 259 561 251 562 271 562 283 562 284 563 281 563 270 563 284 564 272 564 285 564 273 565 256 565 287 565 286 566 285 566 283 566 288 567 283 567 271 567</p>
+ </polylist>
+ </mesh>
+ <extra><technique profile="MAYA"><double_sided>1</double_sided></technique></extra>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="node_008" name="node_008" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#shape0_016-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="Material_001-material" target="#Material_001-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
\ No newline at end of file
diff --git a/ct_models/urdf/HyQ/meshes/trunk/trunk.dae b/ct_models/urdf/HyQ/meshes/trunk/trunk.dae
new file mode 100644
index 0000000..3f239b9
--- /dev/null
+++ b/ct_models/urdf/HyQ/meshes/trunk/trunk.dae
@@ -0,0 +1,107 @@
+<?xml version="1.0" encoding="utf-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Blender User</author>
+ <authoring_tool>Blender 2.69.0 r60991</authoring_tool>
+ </contributor>
+ <created>2014-02-11T13:49:31</created>
+ <modified>2014-02-11T13:49:31</modified>
+ <unit name="meter" meter="1"/>
+ <up_axis>Z_UP</up_axis>
+ </asset>
+ <library_images/>
+ <library_effects>
+ <effect id="Material-effect">
+ <profile_COMMON>
+ <technique sid="common">
+ <phong>
+ <emission>
+ <color sid="emission">0 0 0 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.1 0.1 0.9 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.1 0.1 0.1 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.0 0.0 0.0 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">50</float>
+ </shininess>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ <extra>
+ <technique profile="GOOGLEEARTH">
+ <double_sided>1</double_sided>
+ </technique>
+ </extra>
+ </profile_COMMON>
+ <extra><technique profile="MAX3D"><double_sided>1</double_sided></technique></extra>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="Material-material" name="Material">
+ <instance_effect url="#Material-effect"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="shape0_006-mesh" name="shape0.006">
+ <mesh>
+ <source id="shape0_006-mesh-positions">
+ <float_array id="shape0_006-mesh-positions-array" count="2232">-0.03149998 0.2210429 -0.03101909 -0.03149998 0.2074249 0.0295425 -0.03149998 0.204899 0.03058075 -0.03149998 0.199604 -0.03068327 -0.03149998 0.210137 0.02922558 -0.01949995 0.210137 0.02922558 -0.03149998 0.2304019 0.02223056 -0.03149998 0.237571 -0.01736187 -0.03149998 0.2412829 0.003754854 -0.01949995 0.237571 -0.01736187 -0.03149998 0.183512 -0.01651698 -0.01949995 0.199604 -0.03068327 -0.01949995 0.183512 -0.01651698 -0.03149998 0.181897 -0.01431536 -0.01949995 0.181897 -0.01431536 -0.01949995 0.1797469 -0.01263219 -0.03149998 0.1797469 -0.01263219 -0.01949995 0.2304019 0.02223056 -0.01949995 0.2074249 0.0295425 -0.01949995 0.2210429 -0.03101909 -0.01949995 0.2412829 0.003754854 -0.01949995 0.204899 0.03058075 -0.03149998 0.163632 -0.003252565 -0.01949995 0.163632 -0.003252565 -0.03149998 0.188785 0.0399605 -0.01949995 0.188785 0.0399605 -0.09349995 0.2210429 -0.03101909 -0.09349995 0.2074249 0.0295425 -0.09349995 0.204899 0.03058075 -0.09349995 0.199604 -0.03068327 -0.09349995 0.210137 0.02922558 -0.08349996 0.210137 0.02922558 -0.09349995 0.2304019 0.02223056 -0.09349995 0.237571 -0.01736187 -0.09349995 0.2412829 0.003754854 -0.08349996 0.237571 -0.01736187 -0.09349995 0.183512 -0.01651698 -0.08349996 0.199604 -0.03068327 -0.08349996 0.183512 -0.01651698 -0.09349995 0.181897 -0.01431536 -0.08349996 0.181897 -0.01431536 -0.08349996 0.1797469 -0.01263219 -0.09349995 0.1797469 -0.01263219 -0.08349996 0.2304019 0.02223056 -0.08349996 0.2074249 0.0295425 -0.08349996 0.2210429 -0.03101909 -0.08349996 0.2412829 0.003754854 -0.08349996 0.204899 0.03058075 -0.1075258 0.188785 0.0399605 -0.1075258 0.180142 0.04499089 -0.06949996 0.188785 0.0399605 -0.06849998 0.164135 -0.002388298 -0.06949996 0.163632 -0.003252565 -0.1075 0.15499 0.001777827 -0.1085 0.155493 0.002642035 -0.1075258 0.163632 -0.003252565 -0.06849998 0.179639 0.04412657 -0.06849998 0.155493 0.002642035 -0.1085 0.179639 0.04412657 -0.1085 0.1882809 0.03909617 -0.06849998 0.1882809 0.03909617 -0.1085 0.164135 -0.002388298 -0.09349995 0.163632 -0.003252565 -0.08349996 0.163632 -0.003252565 -0.09349995 0.188785 0.0399605 -0.08349996 0.188785 0.0399605 -0.3315 0.2210429 -0.03101909 -0.3315 0.2074249 0.0295425 -0.3315 0.204899 0.03058075 -0.3315 0.199604 -0.03068327 -0.3315 0.210137 0.02922558 -0.3215 0.210137 0.02922558 -0.3315 0.2304019 0.02223056 -0.3315 0.237571 -0.01736187 -0.3315 0.2412829 0.003754854 -0.3215 0.237571 -0.01736187 -0.3315 0.183512 -0.01651698 -0.3215 0.199604 -0.03068327 -0.3215 0.183512 -0.01651698 -0.3315 0.181897 -0.01431536 -0.3215 0.181897 -0.01431536 -0.3215 0.1797469 -0.01263219 -0.3315 0.1797469 -0.01263219 -0.3215 0.2304019 0.02223056 -0.3215 0.2074249 0.0295425 -0.3215 0.2210429 -0.03101909 -0.3215 0.2412829 0.003754854 -0.3215 0.204899 0.03058075 -0.3455 0.188785 0.0399605 -0.3455 0.180142 0.04499089 -0.3075 0.180142 0.04499089 -0.3075 0.188785 0.0399605 -0.3065 0.164135 -0.002388298 -0.3075 0.163632 -0.003252565 -0.3075 0.15499 0.001777827 -0.3455 0.15499 0.001777827 -0.3465 0.155493 0.002642035 -0.3455 0.163632 -0.003252565 -0.3065 0.179639 0.04412657 -0.3065 0.155493 0.002642035 -0.3465 0.179639 0.04412657 -0.3465 0.1882809 0.03909617 -0.3065 0.1882809 0.03909617 -0.3465 0.164135 -0.002388298 -0.3315 0.15499 0.001777827 -0.3315 0.163632 -0.003252565 -0.3215 0.163632 -0.003252565 -0.3215 0.15499 0.001777827 -0.3315 0.180142 0.04499089 -0.3315 0.188785 0.0399605 -0.3215 0.188785 0.0399605 -0.3215 0.180142 0.04499089 -0.4865 0.180142 0.04499089 -0.4895 0.156499 0.00437057 -0.4895 0.178633 0.04239809 -0.4865 0.171499 0.05002129 5e-4 0.1478559 0.009401023 -0.4865 0.15499 0.001777827 -0.4895 0.1478559 0.009401023 -0.002499997 0.146347 0.006808221 -0.002499997 0.171499 0.05002129 -0.4865 0.146347 0.006808221 5e-4 0.16999 0.04742854 -0.4895 0.16999 0.04742854 5e-4 0.178633 0.04239809 -0.002499997 0.180142 0.04499089 -0.002499997 0.15499 0.001777827 5e-4 0.156499 0.00437057 -0.3455 0.171499 0.05002129 -0.002499997 0.163632 -0.003252565 5.00011e-4 0.1872756 0.03736764 -0.002499938 0.1887845 0.03996044 5.00011e-4 0.1651416 -6.59817e-4 -0.3465 0.15499 0.001777827 -0.3465 0.146347 0.006808221 -0.3455 0.146347 0.006808221 -0.3315 0.171499 0.05002129 -0.3075 0.171499 0.05002129 -0.3215 0.171499 0.05002129 -0.3465 0.171499 0.05002129 -0.3465 0.180142 0.04499089 -0.3075 0.146347 0.006808221 -0.3065 0.15499 0.001777827 -0.3065 0.146347 0.006808221 -0.3215 0.146347 0.006808221 -0.3065 0.180142 0.04499089 -0.3065 0.171499 0.05002129 -0.3315 0.146347 0.006808221 -0.1085 0.146347 0.006808221 -0.1085 0.15499 0.001777827 -0.1075129 0.15499 0.001777827 -0.107487 0.146347 0.006808221 -0.08349996 0.15499 0.001777827 -0.08349996 0.146347 0.006808221 -0.09349995 0.15499 0.001777827 -0.09349995 0.146347 0.006808221 -0.06949996 0.146347 0.006808221 -0.06949996 0.15499 0.001777827 -0.06849998 0.146347 0.006808221 -0.06849998 0.15499 0.001777827 -0.03149998 0.146347 0.006808221 -0.03149998 0.15499 0.001777827 -0.1075 0.171499 0.05002129 -0.1075 0.180142 0.04499089 -0.01949995 0.15499 0.001777827 -0.01949995 0.146347 0.006808221 -0.1085 0.180142 0.04499089 -0.1085 0.171499 0.05002129 -0.09349995 0.171499 0.05002129 -0.09349995 0.180142 0.04499089 -0.08349996 0.171499 0.05002129 -0.08349996 0.180142 0.04499089 -0.06949996 0.171499 0.05002129 -0.06949996 0.180142 0.04499089 -0.06849998 0.171499 0.05002129 -0.06849998 0.180142 0.04499089 -0.03149998 0.171499 0.05002129 -0.03149998 0.180142 0.04499089 -0.01949995 0.171499 0.05002129 -0.01949995 0.180142 0.04499089 0.03149998 0.2210429 -0.03101909 0.03149998 0.2074249 0.0295425 0.03149998 0.204899 0.03058075 0.03149998 0.199604 -0.03068327 0.03149998 0.210137 0.02922558 0.01949995 0.210137 0.02922558 0.03149998 0.2304019 0.02223056 0.03149998 0.237571 -0.01736187 0.03149998 0.2412829 0.003754854 0.01949995 0.237571 -0.01736187 0.03149998 0.183512 -0.01651698 0.01949995 0.199604 -0.03068327 0.01949995 0.183512 -0.01651698 0.03149998 0.181897 -0.01431536 0.01949995 0.181897 -0.01431536 0.01949995 0.1797469 -0.01263219 0.03149998 0.1797469 -0.01263219 0.01949995 0.2304019 0.02223056 0.01949995 0.2074249 0.0295425 0.01949995 0.2210429 -0.03101909 0.01949995 0.2412829 0.003754854 0.01949995 0.204899 0.03058075 0.03149998 0.15499 0.001777827 0.03149998 0.163632 -0.003252565 0.01949995 0.163632 -0.003252565 0.01949995 0.15499 0.001777827 0.03149998 0.180142 0.04499089 0.03149998 0.188785 0.0399605 0.01949995 0.188785 0.0399605 0.01949995 0.180142 0.04499089 0.09349995 0.2210429 -0.03101909 0.09349995 0.2074249 0.0295425 0.09349995 0.204899 0.03058075 0.09349995 0.199604 -0.03068327 0.09349995 0.210137 0.02922558 0.08349996 0.210137 0.02922558 0.09349995 0.2304019 0.02223056 0.09349995 0.237571 -0.01736187 0.09349995 0.2412829 0.003754854 0.08349996 0.237571 -0.01736187 0.09349995 0.183512 -0.01651698 0.08349996 0.199604 -0.03068327 0.08349996 0.183512 -0.01651698 0.09349995 0.181897 -0.01431536 0.08349996 0.181897 -0.01431536 0.08349996 0.1797469 -0.01263219 0.09349995 0.1797469 -0.01263219 0.08349996 0.2304019 0.02223056 0.08349996 0.2074249 0.0295425 0.08349996 0.2210429 -0.03101909 0.08349996 0.2412829 0.003754854 0.08349996 0.204899 0.03058075 0.1075258 0.188785 0.0399605 0.1075258 0.180142 0.04499089 0.06949996 0.180142 0.04499089 0.06949996 0.188785 0.0399605 0.06849998 0.164135 -0.002388298 0.06949996 0.163632 -0.003252565 0.06949996 0.15499 0.001777827 0.1075 0.15499 0.001777827 0.1085 0.155493 0.002642035 0.1075258 0.163632 -0.003252565 0.06849998 0.179639 0.04412657 0.06849998 0.155493 0.002642035 0.1085 0.179639 0.04412657 0.1085 0.1882809 0.03909617 0.06849998 0.1882809 0.03909617 0.1085 0.164135 -0.002388298 0.09349995 0.15499 0.001777827 0.09349995 0.163632 -0.003252565 0.08349996 0.163632 -0.003252565 0.08349996 0.15499 0.001777827 0.09349995 0.180142 0.04499089 0.09349995 0.188785 0.0399605 0.08349996 0.188785 0.0399605 0.08349996 0.180142 0.04499089 0.3315 0.2210429 -0.03101909 0.3315 0.2074249 0.0295425 0.3315 0.204899 0.03058075 0.3315 0.199604 -0.03068327 0.3315 0.210137 0.02922558 0.3215 0.210137 0.02922558 0.3315 0.2304019 0.02223056 0.3315 0.237571 -0.01736187 0.3315 0.2412829 0.003754854 0.3215 0.237571 -0.01736187 0.3315 0.183512 -0.01651698 0.3215 0.199604 -0.03068327 0.3215 0.183512 -0.01651698 0.3315 0.181897 -0.01431536 0.3215 0.181897 -0.01431536 0.3215 0.1797469 -0.01263219 0.3315 0.1797469 -0.01263219 0.3215 0.2304019 0.02223056 0.3215 0.2074249 0.0295425 0.3215 0.2210429 -0.03101909 0.3215 0.2412829 0.003754854 0.3215 0.204899 0.03058075 0.3455 0.188785 0.0399605 0.3455 0.180142 0.04499089 0.3075 0.180142 0.04499089 0.3075 0.188785 0.0399605 0.3065 0.164135 -0.002388298 0.3075 0.163632 -0.003252565 0.3075 0.15499 0.001777827 0.3455 0.15499 0.001777827 0.3465 0.155493 0.002642035 0.3455 0.163632 -0.003252565 0.3065 0.179639 0.04412657 0.3065 0.155493 0.002642035 0.3465 0.179639 0.04412657 0.3465 0.1882809 0.03909617 0.3065 0.1882809 0.03909617 0.3465 0.164135 -0.002388298 0.3315 0.15499 0.001777827 0.3315 0.163632 -0.003252565 0.3215 0.163632 -0.003252565 0.3215 0.15499 0.001777827 0.3315 0.180142 0.04499089 0.3315 0.188785 0.0399605 0.3215 0.188785 0.0399605 0.3215 0.180142 0.04499089 0.4865 0.180142 0.04499089 0.4895 0.156499 0.00437057 0.4895 0.178633 0.04239809 0.4865 0.171499 0.05002129 -5e-4 0.1478559 0.009401023 0.4865 0.15499 0.001777827 0.4895 0.1478559 0.009401023 0.002499997 0.146347 0.006808221 0.002499997 0.171499 0.05002129 0.4865 0.146347 0.006808221 -5e-4 0.16999 0.04742854 0.4895 0.16999 0.04742854 -5e-4 0.178633 0.04239809 0.002499997 0.180142 0.04499089 0.002499997 0.15499 0.001777827 -5e-4 0.156499 0.00437057 0.3455 0.171499 0.05002129 0.002499997 0.163632 -0.003252565 -5.00011e-4 0.1872756 0.03736764 0.002499938 0.1887845 0.03996044 -5.00011e-4 0.1651416 -6.59817e-4 0.3465 0.15499 0.001777827 0.3465 0.146347 0.006808221 0.3455 0.146347 0.006808221 0.3315 0.171499 0.05002129 0.3075 0.171499 0.05002129 0.3215 0.171499 0.05002129 0.3465 0.171499 0.05002129 0.3465 0.180142 0.04499089 0.3075 0.146347 0.006808221 0.3065 0.15499 0.001777827 0.3065 0.146347 0.006808221 0.3215 0.146347 0.006808221 0.3065 0.180142 0.04499089 0.3065 0.171499 0.05002129 0.3315 0.146347 0.006808221 0.1085 0.146347 0.006808221 0.1085 0.15499 0.001777827 0.1075129 0.15499 0.001777827 0.107487 0.146347 0.006808221 0.08349996 0.146347 0.006808221 0.09349995 0.146347 0.006808221 0.06949996 0.146347 0.006808221 0.06849998 0.146347 0.006808221 0.06849998 0.15499 0.001777827 0.03149998 0.146347 0.006808221 0.1075 0.171499 0.05002129 0.1075 0.180142 0.04499089 0.01949995 0.146347 0.006808221 0.1085 0.180142 0.04499089 0.1085 0.171499 0.05002129 0.09349995 0.171499 0.05002129 0.08349996 0.171499 0.05002129 0.06949996 0.171499 0.05002129 0.06849998 0.171499 0.05002129 0.06849998 0.180142 0.04499089 0.03149998 0.171499 0.05002129 0.01949995 0.171499 0.05002129 0.03149998 -0.2210429 -0.03101909 0.03149998 -0.2074249 0.0295425 0.03149998 -0.204899 0.03058075 0.03149998 -0.199604 -0.03068327 0.03149998 -0.210137 0.02922558 0.01949995 -0.210137 0.02922558 0.03149998 -0.2304019 0.02223056 0.03149998 -0.237571 -0.01736187 0.03149998 -0.2412829 0.003754854 0.01949995 -0.237571 -0.01736187 0.03149998 -0.183512 -0.01651698 0.01949995 -0.199604 -0.03068327 0.01949995 -0.183512 -0.01651698 0.03149998 -0.181897 -0.01431536 0.01949995 -0.181897 -0.01431536 0.01949995 -0.1797469 -0.01263219 0.03149998 -0.1797469 -0.01263219 0.01949995 -0.2304019 0.02223056 0.01949995 -0.2074249 0.0295425 0.01949995 -0.2210429 -0.03101909 0.01949995 -0.2412829 0.003754854 0.01949995 -0.204899 0.03058075 0.03149998 -0.15499 0.001777827 0.03149998 -0.163632 -0.003252565 0.01949995 -0.163632 -0.003252565 0.01949995 -0.15499 0.001777827 0.03149998 -0.180142 0.04499089 0.03149998 -0.188785 0.0399605 0.01949995 -0.188785 0.0399605 0.01949995 -0.180142 0.04499089 0.09349995 -0.2210429 -0.03101909 0.09349995 -0.2074249 0.0295425 0.09349995 -0.204899 0.03058075 0.09349995 -0.199604 -0.03068327 0.09349995 -0.210137 0.02922558 0.08349996 -0.210137 0.02922558 0.09349995 -0.2304019 0.02223056 0.09349995 -0.237571 -0.01736187 0.09349995 -0.2412829 0.003754854 0.08349996 -0.237571 -0.01736187 0.09349995 -0.183512 -0.01651698 0.08349996 -0.199604 -0.03068327 0.08349996 -0.183512 -0.01651698 0.09349995 -0.181897 -0.01431536 0.08349996 -0.181897 -0.01431536 0.08349996 -0.1797469 -0.01263219 0.09349995 -0.1797469 -0.01263219 0.08349996 -0.2304019 0.02223056 0.08349996 -0.2074249 0.0295425 0.08349996 -0.2210429 -0.03101909 0.08349996 -0.2412829 0.003754854 0.08349996 -0.204899 0.03058075 0.1075258 -0.188785 0.0399605 0.1075258 -0.180142 0.04499089 0.06949996 -0.180142 0.04499089 0.06949996 -0.188785 0.0399605 0.06849998 -0.164135 -0.002388298 0.06949996 -0.163632 -0.003252565 0.06949996 -0.15499 0.001777827 0.1075 -0.15499 0.001777827 0.1085 -0.155493 0.002642035 0.1075258 -0.163632 -0.003252565 0.06849998 -0.179639 0.04412657 0.06849998 -0.155493 0.002642035 0.1085 -0.179639 0.04412657 0.1085 -0.1882809 0.03909617 0.06849998 -0.1882809 0.03909617 0.1085 -0.164135 -0.002388298 0.09349995 -0.15499 0.001777827 0.09349995 -0.163632 -0.003252565 0.08349996 -0.163632 -0.003252565 0.08349996 -0.15499 0.001777827 0.09349995 -0.180142 0.04499089 0.09349995 -0.188785 0.0399605 0.08349996 -0.188785 0.0399605 0.08349996 -0.180142 0.04499089 0.3315 -0.2210429 -0.03101909 0.3315 -0.2074249 0.0295425 0.3315 -0.204899 0.03058075 0.3315 -0.199604 -0.03068327 0.3315 -0.210137 0.02922558 0.3215 -0.210137 0.02922558 0.3315 -0.2304019 0.02223056 0.3315 -0.237571 -0.01736187 0.3315 -0.2412829 0.003754854 0.3215 -0.237571 -0.01736187 0.3315 -0.183512 -0.01651698 0.3215 -0.199604 -0.03068327 0.3215 -0.183512 -0.01651698 0.3315 -0.181897 -0.01431536 0.3215 -0.181897 -0.01431536 0.3215 -0.1797469 -0.01263219 0.3315 -0.1797469 -0.01263219 0.3215 -0.2304019 0.02223056 0.3215 -0.2074249 0.0295425 0.3215 -0.2210429 -0.03101909 0.3215 -0.2412829 0.003754854 0.3215 -0.204899 0.03058075 0.3455 -0.188785 0.0399605 0.3455 -0.180142 0.04499089 0.3075 -0.180142 0.04499089 0.3075 -0.188785 0.0399605 0.3065 -0.164135 -0.002388298 0.3075 -0.163632 -0.003252565 0.3075 -0.15499 0.001777827 0.3455 -0.15499 0.001777827 0.3465 -0.155493 0.002642035 0.3455 -0.163632 -0.003252565 0.3065 -0.179639 0.04412657 0.3065 -0.155493 0.002642035 0.3465 -0.179639 0.04412657 0.3465 -0.1882809 0.03909617 0.3065 -0.1882809 0.03909617 0.3465 -0.164135 -0.002388298 0.3315 -0.15499 0.001777827 0.3315 -0.163632 -0.003252565 0.3215 -0.163632 -0.003252565 0.3215 -0.15499 0.001777827 0.3315 -0.180142 0.04499089 0.3315 -0.188785 0.0399605 0.3215 -0.188785 0.0399605 0.3215 -0.180142 0.04499089 0.4865 -0.180142 0.04499089 0.4895 -0.156499 0.00437057 0.4895 -0.178633 0.04239809 0.4865 -0.171499 0.05002129 -5e-4 -0.1478559 0.009401023 0.4865 -0.15499 0.001777827 0.4895 -0.1478559 0.009401023 0.002499997 -0.146347 0.006808221 0.002499997 -0.171499 0.05002129 0.4865 -0.146347 0.006808221 -5e-4 -0.16999 0.04742854 0.4895 -0.16999 0.04742854 -5e-4 -0.178633 0.04239809 0.002499997 -0.180142 0.04499089 0.002499997 -0.15499 0.001777827 -5e-4 -0.156499 0.00437057 0.3455 -0.171499 0.05002129 0.002499997 -0.188785 0.0399605 -5.00011e-4 -0.1872756 0.03736764 0.002499938 -0.1636326 -0.003252565 -5.00011e-4 -0.1651416 -6.59817e-4 0.3465 -0.15499 0.001777827 0.3465 -0.146347 0.006808221 0.3455 -0.146347 0.006808221 0.3315 -0.171499 0.05002129 0.3075 -0.171499 0.05002129 0.3215 -0.171499 0.05002129 0.3465 -0.171499 0.05002129 0.3465 -0.180142 0.04499089 0.3075 -0.146347 0.006808221 0.3065 -0.15499 0.001777827 0.3065 -0.146347 0.006808221 0.3215 -0.146347 0.006808221 0.3065 -0.180142 0.04499089 0.3065 -0.171499 0.05002129 0.3315 -0.146347 0.006808221 0.1085 -0.146347 0.006808221 0.1085 -0.15499 0.001777827 0.1075129 -0.15499 0.001777827 0.107487 -0.146347 0.006808221 0.08349996 -0.146347 0.006808221 0.09349995 -0.146347 0.006808221 0.06949996 -0.146347 0.006808221 0.06849998 -0.146347 0.006808221 0.06849998 -0.15499 0.001777827 0.03149998 -0.146347 0.006808221 0.1075 -0.171499 0.05002129 0.1075 -0.180142 0.04499089 0.01949995 -0.146347 0.006808221 0.1085 -0.180142 0.04499089 0.1085 -0.171499 0.05002129 0.09349995 -0.171499 0.05002129 0.08349996 -0.171499 0.05002129 0.06949996 -0.171499 0.05002129 0.06849998 -0.171499 0.05002129 0.06849998 -0.180142 0.04499089 0.03149998 -0.171499 0.05002129 0.01949995 -0.171499 0.05002129 -0.03149998 -0.2210429 -0.03101909 -0.03149998 -0.2074249 0.0295425 -0.03149998 -0.204899 0.03058075 -0.03149998 -0.199604 -0.03068327 -0.03149998 -0.210137 0.02922558 -0.01949995 -0.210137 0.02922558 -0.03149998 -0.2304019 0.02223056 -0.03149998 -0.237571 -0.01736187 -0.03149998 -0.2412829 0.003754854 -0.01949995 -0.237571 -0.01736187 -0.03149998 -0.183512 -0.01651698 -0.01949995 -0.199604 -0.03068327 -0.01949995 -0.183512 -0.01651698 -0.03149998 -0.181897 -0.01431536 -0.01949995 -0.181897 -0.01431536 -0.01949995 -0.1797469 -0.01263219 -0.03149998 -0.1797469 -0.01263219 -0.01949995 -0.2304019 0.02223056 -0.01949995 -0.2074249 0.0295425 -0.01949995 -0.2210429 -0.03101909 -0.01949995 -0.2412829 0.003754854 -0.01949995 -0.204899 0.03058075 -0.03149998 -0.163632 -0.003252565 -0.01949995 -0.163632 -0.003252565 -0.03149998 -0.188785 0.0399605 -0.01949995 -0.188785 0.0399605 -0.09349995 -0.2210429 -0.03101909 -0.09349995 -0.2074249 0.0295425 -0.09349995 -0.204899 0.03058075 -0.09349995 -0.199604 -0.03068327 -0.09349995 -0.210137 0.02922558 -0.08349996 -0.210137 0.02922558 -0.09349995 -0.2304019 0.02223056 -0.09349995 -0.237571 -0.01736187 -0.09349995 -0.2412829 0.003754854 -0.08349996 -0.237571 -0.01736187 -0.09349995 -0.183512 -0.01651698 -0.08349996 -0.199604 -0.03068327 -0.08349996 -0.183512 -0.01651698 -0.09349995 -0.181897 -0.01431536 -0.08349996 -0.181897 -0.01431536 -0.08349996 -0.1797469 -0.01263219 -0.09349995 -0.1797469 -0.01263219 -0.08349996 -0.2304019 0.02223056 -0.08349996 -0.2074249 0.0295425 -0.08349996 -0.2210429 -0.03101909 -0.08349996 -0.2412829 0.003754854 -0.08349996 -0.204899 0.03058075 -0.1075258 -0.188785 0.0399605 -0.1075258 -0.180142 0.04499089 -0.06949996 -0.180142 0.04499089 -0.06949996 -0.188785 0.0399605 -0.06849998 -0.164135 -0.002388298 -0.06949996 -0.163632 -0.003252565 -0.1075 -0.15499 0.001777827 -0.1085 -0.155493 0.002642035 -0.1075258 -0.163632 -0.003252565 -0.06849998 -0.179639 0.04412657 -0.06849998 -0.155493 0.002642035 -0.1085 -0.179639 0.04412657 -0.1085 -0.1882809 0.03909617 -0.06849998 -0.1882809 0.03909617 -0.1085 -0.164135 -0.002388298 -0.09349995 -0.15499 0.001777827 -0.09349995 -0.163632 -0.003252565 -0.08349996 -0.163632 -0.003252565 -0.09349995 -0.188785 0.0399605 -0.08349996 -0.188785 0.0399605 -0.3315 -0.2210429 -0.03101909 -0.3315 -0.2074249 0.0295425 -0.3315 -0.204899 0.03058075 -0.3315 -0.199604 -0.03068327 -0.3315 -0.210137 0.02922558 -0.3215 -0.210137 0.02922558 -0.3315 -0.2304019 0.02223056 -0.3315 -0.237571 -0.01736187 -0.3315 -0.2412829 0.003754854 -0.3215 -0.237571 -0.01736187 -0.3315 -0.183512 -0.01651698 -0.3215 -0.199604 -0.03068327 -0.3215 -0.183512 -0.01651698 -0.3315 -0.181897 -0.01431536 -0.3215 -0.181897 -0.01431536 -0.3215 -0.1797469 -0.01263219 -0.3315 -0.1797469 -0.01263219 -0.3215 -0.2304019 0.02223056 -0.3215 -0.2074249 0.0295425 -0.3215 -0.2210429 -0.03101909 -0.3215 -0.2412829 0.003754854 -0.3215 -0.204899 0.03058075 -0.3455 -0.188785 0.0399605 -0.3455 -0.180142 0.04499089 -0.3075 -0.180142 0.04499089 -0.3075 -0.188785 0.0399605 -0.3065 -0.164135 -0.002388298 -0.3075 -0.163632 -0.003252565 -0.3075 -0.15499 0.001777827 -0.3455 -0.15499 0.001777827 -0.3465 -0.155493 0.002642035 -0.3455 -0.163632 -0.003252565 -0.3065 -0.179639 0.04412657 -0.3065 -0.155493 0.002642035 -0.3465 -0.179639 0.04412657 -0.3465 -0.1882809 0.03909617 -0.3065 -0.1882809 0.03909617 -0.3465 -0.164135 -0.002388298 -0.3315 -0.15499 0.001777827 -0.3315 -0.163632 -0.003252565 -0.3215 -0.163632 -0.003252565 -0.3215 -0.15499 0.001777827 -0.3315 -0.180142 0.04499089 -0.3315 -0.188785 0.0399605 -0.3215 -0.188785 0.0399605 -0.3215 -0.180142 0.04499089 -0.4865 -0.180142 0.04499089 -0.4895 -0.156499 0.00437057 -0.4895 -0.178633 0.04239809 -0.4865 -0.171499 0.05002129 5e-4 -0.1478559 0.009401023 -0.4865 -0.15499 0.001777827 -0.4895 -0.1478559 0.009401023 -0.002499997 -0.146347 0.006808221 -0.002499997 -0.171499 0.05002129 -0.4865 -0.146347 0.006808221 5e-4 -0.16999 0.04742854 -0.4895 -0.16999 0.04742854 5e-4 -0.178633 0.04239809 -0.002499997 -0.180142 0.04499089 -0.002499997 -0.15499 0.001777827 5e-4 -0.156499 0.00437057 -0.3455 -0.171499 0.05002129 -0.002499997 -0.188785 0.0399605 5.00011e-4 -0.1872756 0.03736764 -0.002499938 -0.1636326 -0.003252565 5.00011e-4 -0.1651416 -6.59817e-4 -0.3465 -0.15499 0.001777827 -0.3465 -0.146347 0.006808221 -0.3455 -0.146347 0.006808221 -0.3315 -0.171499 0.05002129 -0.3075 -0.171499 0.05002129 -0.3215 -0.171499 0.05002129 -0.3465 -0.171499 0.05002129 -0.3465 -0.180142 0.04499089 -0.3075 -0.146347 0.006808221 -0.3065 -0.15499 0.001777827 -0.3065 -0.146347 0.006808221 -0.3215 -0.146347 0.006808221 -0.3065 -0.180142 0.04499089 -0.3065 -0.171499 0.05002129 -0.3315 -0.146347 0.006808221 -0.1085 -0.146347 0.006808221 -0.1085 -0.15499 0.001777827 -0.1075129 -0.15499 0.001777827 -0.107487 -0.146347 0.006808221 -0.08349996 -0.15499 0.001777827 -0.08349996 -0.146347 0.006808221 -0.09349995 -0.146347 0.006808221 -0.06949996 -0.146347 0.006808221 -0.06949996 -0.15499 0.001777827 -0.06849998 -0.146347 0.006808221 -0.06849998 -0.15499 0.001777827 -0.03149998 -0.146347 0.006808221 -0.03149998 -0.15499 0.001777827 -0.1075 -0.171499 0.05002129 -0.1075 -0.180142 0.04499089 -0.01949995 -0.15499 0.001777827 -0.01949995 -0.146347 0.006808221 -0.1085 -0.180142 0.04499089 -0.1085 -0.171499 0.05002129 -0.09349995 -0.171499 0.05002129 -0.09349995 -0.180142 0.04499089 -0.08349996 -0.171499 0.05002129 -0.08349996 -0.180142 0.04499089 -0.06949996 -0.171499 0.05002129 -0.06849998 -0.171499 0.05002129 -0.06849998 -0.180142 0.04499089 -0.03149998 -0.171499 0.05002129 -0.03149998 -0.180142 0.04499089 -0.01949995 -0.171499 0.05002129 -0.01949995 -0.180142 0.04499089 -0.5 0.07677477 -0.08999997 -0.5 -0.07677477 -0.08999997 0.5 -0.07677477 -0.08999997 0.5 0.08823978 -0.08693879 -0.5 0.08823978 -0.08693879 -0.5 0.0966528 -0.07857 0.5 0.172376 0.05475598 -0.5 0.172376 0.05475598 -0.5 0.174 0.06699997 -0.5 -0.174 0.06699997 -0.5 -0.172376 0.05475598 -0.5 0.174 0.08999997 -0.5 -0.174 0.08999997 -0.5 -0.08823978 -0.08693879 -0.5 -0.0966528 -0.07857 0.5 -0.08823978 -0.08693879 0.5 -0.0966528 -0.07857 0.5 -0.172376 0.05475598 0.5 -0.174 0.06699997 0.5 0.174 0.06699997 0.5 -0.174 0.08999997 0.5 0.174 0.08999997 0.5 0.0966528 -0.07857 0.5 0.07677477 -0.08999997</float_array>
+ <technique_common>
+ <accessor source="#shape0_006-mesh-positions-array" count="744" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shape0_006-mesh-normals">
+ <float_array id="shape0_006-mesh-normals-array" count="3948">0 0.1160612 0.9932422 0 0.38018 0.9249125 -1 0 0 0 0.3262854 0.9452713 -1 0 0 0 0.8616706 0.5074682 -1 0 0 0 0.9848992 -0.1731289 1 0 0 0 0.636982 -0.7708787 1 0 0 0 -0.01566118 -0.9998774 1 0 0 0 -0.6607679 -0.7505905 1 0 0 0 -0.8063211 -0.5914781 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -0.5030383 -0.8642641 -1 0 0 0 0.5030653 0.8642485 0 -0.6164398 -0.787402 0 0.1160612 0.9932421 0 0.38018 0.9249125 -1 0 0 0 0.3262854 0.9452713 -1 0 0 0 0.8616705 0.5074682 -1 0 0 0 0.9848992 -0.1731289 1 0 0 0 0.636982 -0.7708787 1 0 0 0 -0.01566118 -0.9998773 1 0 0 0 -0.6607679 -0.7505904 1 0 0 0 -0.8063211 -0.5914781 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -0.5030383 -0.8642641 0 0.8642541 -0.5030553 0 0.8642542 -0.5030554 -8.31263e-4 0.8642615 -0.5030421 -0.716477 0.3509454 0.6029079 -0.7070935 -0.3557304 -0.6111255 1 0 0 -1 0 0 0 0.5030653 0.8642484 6.55193e-5 0.8642542 -0.5030554 -1 0 0 0 -0.6164398 -0.787402 0 0.1160612 0.993242 0 0.38018 0.9249125 -1 0 0 0 0.3262854 0.9452714 -1 0 0 0 0.8616706 0.5074682 -1 0 0 0 0.9848991 -0.1731289 1 0 0 0 0.636982 -0.7708786 1 0 0 0 -0.01566118 -0.9998773 1 0 0 0 -0.6607679 -0.7505904 1 0 0 0 -0.8063211 -0.5914781 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -0.5030384 -0.8642641 0 0.8642541 -0.5030553 0 0.8642541 -0.5030553 0.7072834 0.3556337 0.6109622 0 0.5030238 0.8642726 -8.09778e-4 0.8642615 -0.5030421 0 -0.5030695 -0.8642459 -0.7072834 0.3556337 0.6109622 -0.7070938 -0.3557304 -0.6111255 1 0 0 0.7070937 -0.3557304 -0.6111255 -1 0 0 0 0.5030653 0.8642484 6.55183e-5 0.8642541 -0.5030554 -1 0 0 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 -0.5030696 -0.864246 0 0.5030238 0.8642726 0 0.5030238 0.8642726 3.78678e-5 0.8642604 -0.5030447 -0.7070971 -0.3556975 -0.6111407 0 -0.5030254 -0.8642716 1 0 0 0.7070985 -0.3556974 -0.6111392 -0.707088 0.3557067 0.6111459 0.7071009 0.3556948 0.6111379 -1 0 0 0 0.5030243 0.8642723 0.7071008 0.3557073 0.6111307 1 -9.35703e-7 5.44629e-7 0 0.5030243 0.8642723 0 0.864295 -0.5029853 0 0.8642783 -0.503014 -4.67741e-7 0.8642617 -0.5030425 0 -0.5030254 -0.8642717 0 0.8642782 -0.5030141 0 0.864295 -0.5029853 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642716 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 0.5030243 0.8642723 0 -0.5030254 -0.8642717 0 0.5030243 0.8642723 0 0.5030243 0.8642722 0 0.5030242 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 0.5030243 0.8642724 0 0.5030243 0.8642722 0 0.8642782 -0.5030141 0 0.8642783 -0.5030141 0 0.864295 -0.5029853 0 0.864295 -0.5029853 0 0.8642783 -0.5030141 0 0.864295 -0.5029852 0 0.8642617 -0.5030424 0 0.8642782 -0.5030141 0 0.864295 -0.5029853 0 0.1160612 0.9932422 0 0.38018 0.9249125 1 0 0 0 0.3262854 0.9452713 1 0 0 0 0.8616706 0.5074682 1 0 0 0 0.9848992 -0.1731289 -1 0 0 0 0.636982 -0.7708787 -1 0 0 0 -0.01566118 -0.9998774 -1 0 0 0 -0.6607679 -0.7505905 -1 0 0 0 -0.8063211 -0.5914781 -1 0 0 -1 0 0 1 0 0 1 0 0 0 -0.5030383 -0.8642641 1 0 0 0 0.5030653 0.8642485 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 0.5030237 0.8642725 0 0.1160612 0.9932421 0 0.38018 0.9249125 1 0 0 0 0.3262854 0.9452713 1 0 0 0 0.8616705 0.5074682 1 0 0 0 0.9848992 -0.1731289 -1 0 0 0 0.636982 -0.7708787 -1 0 0 0 -0.01566118 -0.9998773 -1 0 0 0 -0.6607679 -0.7505904 -1 0 0 0 -0.8063211 -0.5914781 -1 0 0 -1 0 0 1 0 0 1 0 0 0 -0.5030383 -0.8642641 0 0.8642541 -0.5030553 0 0.8642542 -0.5030554 -0.7071085 0.3556906 0.6111316 0 0.5030238 0.8642726 8.31535e-4 0.8642615 -0.5030421 0 -0.5030695 -0.8642459 0.716477 0.3509455 0.602908 0.7070934 -0.3557305 -0.6111257 -1 0 0 -0.707099 -0.3557277 -0.6111209 1 0 0 0 0.5030653 0.8642484 -8.0979e-4 0.8642615 -0.5030421 1 0 0 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 -0.5030696 -0.864246 0 0.5030237 0.8642726 0 0.5030237 0.8642726 0 0.1160612 0.993242 0 0.38018 0.9249125 1 0 0 0 0.3262854 0.9452714 1 0 0 0 0.8616706 0.5074682 1 0 0 0 0.9848991 -0.1731289 -1 0 0 0 0.636982 -0.7708786 -1 0 0 0 -0.01566118 -0.9998773 -1 0 0 0 -0.6607679 -0.7505904 -1 0 0 0 -0.8063211 -0.5914781 -1 0 0 -1 0 0 1 0 0 1 0 0 0 -0.5030384 -0.8642641 0 0.8642541 -0.5030553 0 0.8642541 -0.5030553 -0.7071033 0.3556933 0.6111361 0 0.5030238 0.8642726 8.10043e-4 0.8642615 -0.5030421 0 -0.5030695 -0.8642459 0.7072833 0.3556337 0.6109623 0.7070934 -0.3557306 -0.6111257 -1 0 0 -0.7070937 -0.3557304 -0.6111255 1 0 0 0 0.5030653 0.8642484 -8.09778e-4 0.8642615 -0.5030421 1 0 0 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 -0.5030696 -0.864246 0 0.5030238 0.8642726 0 0.5030238 0.8642726 -3.79229e-5 0.8642604 -0.5030448 0.707096 -0.3556986 -0.6111413 0 -0.5030254 -0.8642716 -1 0 0 -0.7070985 -0.3556973 -0.6111392 0.7070984 0.3556961 0.6111401 -0.7071009 0.3556949 0.6111379 1 0 0 0 -0.5030696 -0.864246 1 0 0 -0.7071009 0.3557073 0.6111307 -1 -9.35702e-7 5.44628e-7 0 0.5030243 0.8642723 0 0.864295 -0.5029853 0 0.8642783 -0.503014 4.72884e-7 0.8642617 -0.5030425 0 -0.5030254 -0.8642717 0 0.8642782 -0.5030141 0 0.864295 -0.5029853 0 -0.5030254 -0.8642716 0 0.5030243 0.8642723 0 0.5030243 0.8642723 0 0.8642783 -0.5030141 0 0.864295 -0.5029852 0 0.8642617 -0.5030424 0 0.8642782 -0.5030141 0 0.864295 -0.5029853 0 -0.1160612 0.9932422 0 -0.38018 0.9249125 1 0 0 0 -0.3262854 0.9452713 1 0 0 0 -0.8616706 0.5074682 1 0 0 0 -0.9848992 -0.1731289 -1 0 0 0 -0.636982 -0.7708787 -1 0 0 0 0.01566118 -0.9998774 -1 0 0 0 0.6607679 -0.7505905 -1 0 0 0 0.8063211 -0.5914781 -1 0 0 -1 0 0 1 0 0 1 0 0 0 0.5030383 -0.8642641 1 0 0 0 -0.5030653 0.8642485 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 -0.5030237 0.8642725 0 -0.1160612 0.9932421 0 -0.38018 0.9249125 1 0 0 0 -0.3262854 0.9452713 1 0 0 0 -0.8616705 0.5074682 1 0 0 0 -0.9848992 -0.1731289 -1 0 0 0 -0.636982 -0.7708787 -1 0 0 0 0.01566118 -0.9998773 -1 0 0 0 0.6607679 -0.7505904 -1 0 0 0 0.8063211 -0.5914781 -1 0 0 -1 0 0 1 0 0 1 0 0 0 0.5030383 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642542 -0.5030554 -0.7072886 -0.3556311 0.6109577 0 -0.5030238 0.8642726 8.31263e-4 -0.8642615 -0.5030421 0 0.5030695 -0.8642459 0.716477 -0.3509454 0.6029079 0.7070935 0.3557304 -0.6111255 -1 0 0 -0.707099 0.3557277 -0.6111209 1 0 0 0 -0.5030653 0.8642484 -6.55193e-5 -0.8642542 -0.5030554 1 0 0 0 0.6164398 -0.787402 0 0.5030696 -0.8642459 0 0.5030696 -0.864246 0 -0.5030237 0.8642726 0 -0.5030237 0.8642726 0 -0.1160612 0.993242 0 -0.38018 0.9249125 1 0 0 0 -0.3262854 0.9452714 1 0 0 0 -0.8616706 0.5074682 1 0 0 0 -0.9848991 -0.1731289 -1 0 0 0 -0.636982 -0.7708786 -1 0 0 0 0.01566118 -0.9998773 -1 0 0 0 0.6607679 -0.7505904 -1 0 0 0 0.8063211 -0.5914781 -1 0 0 -1 0 0 1 0 0 1 0 0 0 0.5030384 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642541 -0.5030553 -0.7072834 -0.3556337 0.6109622 0 -0.5030238 0.8642726 8.09778e-4 -0.8642615 -0.5030421 0 0.5030695 -0.8642459 0.7072834 -0.3556337 0.6109622 0.7070938 0.3557304 -0.6111255 -1 0 0 -0.7070937 0.3557304 -0.6111255 1 0 0 0 -0.5030653 0.8642484 -6.55183e-5 -0.8642541 -0.5030554 1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 0.5030696 -0.864246 0 -0.5030238 0.8642726 0 -0.5030238 0.8642726 -3.78678e-5 -0.8642604 -0.5030447 0.7070971 0.3556975 -0.6111407 0 0.5030254 -0.8642716 -1 0 0 -0.7070985 0.3556974 -0.6111392 0.707088 -0.3557067 0.6111459 -0.7071009 -0.3556948 0.6111379 1 0 0 0 -0.5030238 0.8642727 1 0 0 -1 9.35703e-7 5.44629e-7 -0.7070984 0.3557093 -0.6111322 0 -0.5030243 0.8642723 0 -0.864295 -0.5029853 0 -0.8642783 -0.503014 4.67741e-7 -0.8642617 -0.5030425 0 0.5030254 -0.8642717 0 -0.8642782 -0.5030141 0 -0.864295 -0.5029853 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 -0.5030243 0.8642723 0 -0.8642783 -0.5030141 0 -0.864295 -0.5029852 0 -0.8642617 -0.5030424 0 -0.8642782 -0.5030141 0 -0.864295 -0.5029853 0 -0.1160612 0.9932422 0 -0.38018 0.9249125 -1 0 0 0 -0.3262854 0.9452713 -1 0 0 0 -0.8616706 0.5074682 -1 0 0 0 -0.9848992 -0.1731289 1 0 0 0 -0.636982 -0.7708787 1 0 0 0 0.01566118 -0.9998774 1 0 0 0 0.6607679 -0.7505905 1 0 0 0 0.8063211 -0.5914781 1 0 0 1 0 0 -1 0 0 -1 0 0 0 0.5030383 -0.8642641 -1 0 0 0 -0.5030653 0.8642485 0 0.6164398 -0.787402 0 -0.1160612 0.9932421 0 -0.38018 0.9249125 -1 0 0 0 -0.3262854 0.9452713 -1 0 0 0 -0.8616705 0.5074682 -1 0 0 0 -0.9848992 -0.1731289 1 0 0 0 -0.636982 -0.7708787 1 0 0 0 0.01566118 -0.9998773 1 0 0 0 0.6607679 -0.7505904 1 0 0 0 0.8063211 -0.5914781 1 0 0 1 0 0 -1 0 0 -1 0 0 0 0.5030383 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642542 -0.5030554 0.7071085 -0.3556906 0.6111316 -8.31535e-4 -0.8642615 -0.5030421 -0.716477 -0.3509455 0.602908 -0.7070934 0.3557305 -0.6111257 1 0 0 -1 0 0 0 -0.5030653 0.8642484 8.0979e-4 -0.8642615 -0.5030421 -1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 -0.1160612 0.993242 0 -0.38018 0.9249125 -1 0 0 0 -0.3262854 0.9452714 -1 0 0 0 -0.8616706 0.5074682 -1 0 0 0 -0.9848991 -0.1731289 1 0 0 0 -0.636982 -0.7708786 1 0 0 0 0.01566118 -0.9998773 1 0 0 0 0.6607679 -0.7505904 1 0 0 0 0.8063211 -0.5914781 1 0 0 1 0 0 -1 0 0 -1 0 0 0 0.5030384 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642541 -0.5030553 0.7071033 -0.3556933 0.6111361 0 -0.5030238 0.8642726 -8.10043e-4 -0.8642615 -0.5030421 0 0.5030695 -0.8642459 -0.7072833 -0.3556337 0.6109623 -0.7070934 0.3557306 -0.6111257 1 0 0 0.7070937 0.3557304 -0.6111255 -1 0 0 0 -0.5030653 0.8642484 8.09778e-4 -0.8642615 -0.5030421 -1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 0.5030696 -0.864246 0 -0.5030238 0.8642726 0 -0.5030238 0.8642726 3.79229e-5 -0.8642604 -0.5030448 -0.707096 0.3556986 -0.6111413 0 0.5030254 -0.8642716 1 0 0 0.7070985 0.3556973 -0.6111392 -0.7070984 -0.3556961 0.6111401 0.7071009 -0.3556949 0.6111379 -1 0 0 0 -0.5030243 0.8642723 1 9.35702e-7 5.44628e-7 0.7070984 0.3557093 -0.6111322 0 -0.5030243 0.8642723 0 -0.864295 -0.5029853 0 -0.8642783 -0.503014 -4.72884e-7 -0.8642617 -0.5030425 0 0.5030254 -0.8642717 0 -0.8642782 -0.5030141 0 -0.864295 -0.5029853 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 -0.5030243 0.8642722 0 -0.5030242 0.8642722 0 -0.5030243 0.8642724 0 -0.5030243 0.8642722 0 -0.8642781 -0.503014 0 -0.8642783 -0.5030142 0 -0.864295 -0.5029853 0 -0.8642783 -0.5030141 0 -0.864295 -0.5029852 0 -0.8642617 -0.5030424 0 -0.8642782 -0.5030141 0 -0.864295 -0.5029853 0 0.2579673 -0.9661536 1 0 0 0 0.7052415 -0.7089672 0 -0.8695412 -0.4938606 1 0 0 0 0.8695412 -0.4938606 0 1 0 -1 0 0 -1 0 0 0 -0.9913181 -0.1314851 0 0.9913181 -0.1314851 0 -0.2579673 -0.9661536 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -0.7052415 -0.7089672 0 0 -1 0 -1 0 0 0 1 -1 0 0 0 -0.5030695 -0.8642459 0 0.5030238 0.8642726 0.7072886 0.3556311 0.6109577 0 0.5030238 0.8642726 0 -0.5030695 -0.8642459 0.707099 -0.3557277 -0.6111209 0 -0.5030696 -0.8642459 0 -0.5030696 -0.864246 0 0.5030237 0.8642726 0 0.5030237 0.8642726 0 -0.5030254 -0.8642716 1.95721e-5 0.8642575 -0.5030496 0 -0.5030696 -0.864246 0 0.5030237 0.8642726 -1 1.93172e-6 -1.12435e-6 -4.77786e-5 0.8642575 -0.5030496 0.7071329 -0.3557108 -0.6110916 0 0.5030243 0.8642724 0 -0.5030254 -0.8642717 0 0.5030243 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 0.8642782 -0.5030141 0 0.864295 -0.5029853 0 -0.5030254 -0.8642716 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642716 0 0.5030243 0.8642724 -9.1769e-7 0.8642618 -0.5030425 0 0.5030243 0.8642723 0 -0.5030254 -0.8642716 0 0.8642542 -0.5030553 -1.34204e-5 0.5030435 0.8642612 4.81181e-5 0.8642575 -0.5030496 -0.7070986 -0.3557103 -0.6111317 0 0.5030243 0.8642724 0 -0.5030254 -0.8642717 0 0.5030243 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 0.8642782 -0.5030141 0 0.864295 -0.5029853 0 -0.5030254 -0.8642716 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642716 0 0.5030243 0.8642724 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 0.5030243 0.8642723 0 0.5030242 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 0.5030243 0.8642724 0 0.5030242 0.8642722 0 0.8642783 -0.5030141 0 0.8642783 -0.5030141 0 0.8642951 -0.5029853 0 0.864295 -0.5029853 8.87987e-7 0.8642617 -0.5030425 0 -0.5030243 0.8642723 0 0.5030254 -0.8642716 0 -0.8642542 -0.5030553 -1.86742e-5 0.5030695 -0.8642459 -0.7071256 -0.3556948 0.6111093 -6.84598e-5 -0.8642603 -0.5030451 0 -0.5030243 0.8642724 0 0.5030254 -0.8642717 0 -0.5030243 0.8642722 0 -0.5030243 0.8642722 0 -0.5030243 0.8642723 0 -0.8642782 -0.5030141 0 -0.864295 -0.5029853 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 0.5030254 -0.8642716 0 -0.5030243 0.8642724 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 -0.5030243 0.8642722 0 -0.5030242 0.8642722 0 -0.5030243 0.8642722 0 -0.5030243 0.8642723 0 -0.5030243 0.8642724 0 -0.5030243 0.8642722 0 -0.8642783 -0.5030141 0 -0.8642783 -0.5030141 0 -0.8642951 -0.5029853 0 -0.864295 -0.5029853 9.17689e-7 -0.8642617 -0.5030425 0 0.5030696 -0.864246 0 -0.5030237 0.8642725 0 -0.5030238 0.8642726 0 0.5030695 -0.8642459 0.707099 0.3557277 -0.6111209 0 0.5030696 -0.8642459 0 -0.5030237 0.8642726 0 -0.5030237 0.8642726 0 0.5030254 -0.8642716 0 -0.8642542 -0.5030553 0 0.5030421 -0.8642619 0 -0.5030238 0.8642727 -1 -1.93186e-6 -1.12448e-6 0.7071008 -0.3556945 0.6111382 4.98159e-5 -0.8642596 -0.503046 0 -0.5030243 0.8642724 0 0.5030254 -0.8642717 0 -0.5030243 0.8642722 0 -0.5030243 0.8642722 0 -0.5030243 0.8642723 0 -0.8642782 -0.5030141 0 -0.864295 -0.5029853 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 0.5030254 -0.8642716 0 -0.5030243 0.8642724 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 -0.5030243 0.8642723 0 -0.8642951 -0.5029853 -8.87988e-7 -0.8642618 -0.5030425 0 0.1160612 0.9932422 0 0.38018 0.9249125 -1 0 0 0 0.3262854 0.9452713 -1 0 0 0 0.8616706 0.5074682 0 0.9848992 -0.1731289 1 0 0 0 0.636982 -0.7708787 1 0 0 0 -0.01566118 -0.9998774 1 0 0 0 -0.6607679 -0.7505905 1 0 0 0 -0.8063211 -0.5914781 1 0 0 -1 0 0 -1 0 0 0 -0.5030383 -0.8642641 -1 0 0 0 0.5030653 0.8642485 0 -0.6164398 -0.787402 0 0.1160612 0.9932421 0 0.38018 0.9249125 -1 0 0 0 0.3262854 0.9452713 -1 0 0 0 0.8616705 0.5074682 0 0.9848992 -0.1731289 1 0 0 0 0.636982 -0.7708787 1 0 0 0 -0.01566118 -0.9998773 1 0 0 0 -0.6607679 -0.7505904 1 0 0 0 -0.8063211 -0.5914781 1 0 0 -1 0 0 -1 0 0 0 -0.5030383 -0.8642641 0 0.8642541 -0.5030553 0 0.8642542 -0.5030554 -6.72566e-5 0.8642541 -0.5030553 -0.7162993 0.3510065 0.6030835 -0.7162886 -0.3526428 -0.6021409 1 0 0 -1 0 0 0 0.5030653 0.8642484 8.10056e-4 0.8642615 -0.5030421 -1 0 0 0 -0.6164398 -0.787402 0 0.1160612 0.993242 0 0.38018 0.9249125 -1 0 0 0 0.3262854 0.9452714 -1 0 0 0 0.8616706 0.5074682 0 0.9848991 -0.1731289 1 0 0 0 0.636982 -0.7708786 1 0 0 0 -0.01566118 -0.9998773 1 0 0 0 -0.6607679 -0.7505904 1 0 0 0 -0.8063211 -0.5914781 1 0 0 -1 0 0 -1 0 0 0 -0.5030384 -0.8642641 0 0.8642541 -0.5030553 0 0.8642541 -0.5030553 0.7071032 0.3556933 0.6111361 0 0.5030238 0.8642726 -6.55183e-5 0.8642541 -0.5030554 0 -0.5030695 -0.8642459 -0.7071033 0.3556933 0.6111361 -0.7070934 -0.3557305 -0.6111257 1 0 0 0.7070934 -0.3557306 -0.6111257 -1 0 0 0 0.5030653 0.8642484 8.10043e-4 0.8642615 -0.5030421 -1 0 0 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 -0.5030696 -0.864246 0 0.5030238 0.8642726 0 0.5030238 0.8642726 -3.50699e-5 0.8642627 -0.5030407 -0.707096 -0.3556986 -0.6111413 0 -0.5030254 -0.8642716 1 0 0 0.7070995 -0.3556963 -0.6111386 -0.7070984 0.3556961 0.6111401 0.7070905 0.3557054 0.6111438 -1 0 0 0 0.5030243 0.8642723 0.7070999 0.3557082 0.6111312 1 -9.35702e-7 5.44628e-7 0 0.5030243 0.8642723 2.20618e-7 0.8642628 -0.5030408 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 0.5030243 0.8642723 0 -0.5030254 -0.8642717 0 0.5030243 0.8642723 0 0.5030243 0.8642722 0 0.5030242 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 0.5030243 0.8642724 0 0.5030243 0.8642722 0 0.8642783 -0.5030141 0 0.864295 -0.5029852 0 0.8642617 -0.5030424 0 0.1160612 0.9932422 0 0.38018 0.9249125 1 0 0 0 0.3262854 0.9452713 1 0 0 0 0.8616706 0.5074682 0 0.9848992 -0.1731289 -1 0 0 0 0.636982 -0.7708787 -1 0 0 0 -0.01566118 -0.9998774 -1 0 0 0 -0.6607679 -0.7505905 -1 0 0 0 -0.8063211 -0.5914781 -1 0 0 1 0 0 1 0 0 0 -0.5030383 -0.8642641 1 0 0 0 0.5030653 0.8642485 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 0.5030237 0.8642725 0 0.1160612 0.9932421 0 0.38018 0.9249125 1 0 0 0 0.3262854 0.9452713 1 0 0 0 0.8616705 0.5074682 0 0.9848992 -0.1731289 -1 0 0 0 0.636982 -0.7708787 -1 0 0 0 -0.01566118 -0.9998773 -1 0 0 0 -0.6607679 -0.7505904 -1 0 0 0 -0.8063211 -0.5914781 -1 0 0 1 0 0 1 0 0 0 -0.5030383 -0.8642641 0 0.8642541 -0.5030553 0 0.8642542 -0.5030554 -0.7072886 0.3556311 0.6109576 0 0.5030238 0.8642726 6.72566e-5 0.8642541 -0.5030553 0 -0.5030695 -0.8642459 0.7162993 0.3510065 0.6030835 0.7162886 -0.3526428 -0.6021409 -1 0 0 -0.7070987 -0.355728 -0.6111212 1 0 0 0 0.5030653 0.8642484 -6.55557e-5 0.8642542 -0.5030554 1 0 0 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 -0.5030696 -0.864246 0 0.5030237 0.8642726 0 0.5030237 0.8642726 0 0.1160612 0.993242 0 0.38018 0.9249125 1 0 0 0 0.3262854 0.9452714 1 0 0 0 0.8616706 0.5074682 0 0.9848991 -0.1731289 -1 0 0 0 0.636982 -0.7708786 -1 0 0 0 -0.01566118 -0.9998773 -1 0 0 0 -0.6607679 -0.7505904 -1 0 0 0 -0.8063211 -0.5914781 -1 0 0 1 0 0 1 0 0 0 -0.5030384 -0.8642641 0 0.8642541 -0.5030553 0 0.8642541 -0.5030553 -0.7072834 0.3556337 0.6109622 0 0.5030238 0.8642726 6.55183e-5 0.8642541 -0.5030554 0 -0.5030695 -0.8642459 0.7071033 0.3556933 0.6111361 0.7070937 -0.3557304 -0.6111255 -1 0 0 -0.7070934 -0.3557306 -0.6111257 1 0 0 0 0.5030653 0.8642484 -6.55547e-5 0.8642541 -0.5030554 1 0 0 0 -0.6164398 -0.787402 0 -0.5030695 -0.8642459 0 -0.5030696 -0.864246 0 0.5030238 0.8642726 0 0.5030238 0.8642726 3.50699e-5 0.8642627 -0.5030407 0.707097 -0.3556976 -0.6111407 0 -0.5030254 -0.8642716 -1 0 0 -0.7070995 -0.3556963 -0.6111386 0.7070879 0.3557067 0.6111459 -0.7070905 0.3557054 0.6111438 1 0 0 0 -0.5030696 -0.864246 1 0 0 -0.7070999 0.3557082 0.6111312 -1 -9.35703e-7 5.44629e-7 0 0.5030243 0.8642723 -2.20618e-7 0.8642628 -0.5030408 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 0.5030243 0.8642723 0 0.5030243 0.8642723 0 0.8642783 -0.5030141 0 0.864295 -0.5029852 0 0.8642617 -0.5030424 0 -0.1160612 0.9932422 0 -0.38018 0.9249125 1 0 0 0 -0.3262854 0.9452713 1 0 0 0 -0.8616706 0.5074682 0 -0.9848992 -0.1731289 -1 0 0 0 -0.636982 -0.7708787 -1 0 0 0 0.01566118 -0.9998774 -1 0 0 0 0.6607679 -0.7505905 -1 0 0 0 0.8063211 -0.5914781 -1 0 0 1 0 0 1 0 0 0 0.5030383 -0.8642641 1 0 0 0 -0.5030653 0.8642485 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 -0.5030237 0.8642725 0 -0.1160612 0.9932421 0 -0.38018 0.9249125 1 0 0 0 -0.3262854 0.9452713 1 0 0 0 -0.8616705 0.5074682 0 -0.9848992 -0.1731289 -1 0 0 0 -0.636982 -0.7708787 -1 0 0 0 0.01566118 -0.9998773 -1 0 0 0 0.6607679 -0.7505904 -1 0 0 0 0.8063211 -0.5914781 -1 0 0 1 0 0 1 0 0 0 0.5030383 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642542 -0.5030554 -0.7071085 -0.3556907 0.6111316 0 -0.5030238 0.8642726 6.72566e-5 -0.8642541 -0.5030553 0 0.5030695 -0.8642459 0.7162993 -0.3510065 0.6030835 0.7162886 0.3526428 -0.6021409 -1 0 0 -0.7070987 0.355728 -0.6111212 1 0 0 0 -0.5030653 0.8642484 -8.10056e-4 -0.8642615 -0.5030421 1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 0.5030696 -0.864246 0 -0.5030237 0.8642726 0 -0.5030237 0.8642726 0 -0.1160612 0.993242 0 -0.38018 0.9249125 1 0 0 0 -0.3262854 0.9452714 1 0 0 0 -0.8616706 0.5074682 0 -0.9848991 -0.1731289 -1 0 0 0 -0.636982 -0.7708786 -1 0 0 0 0.01566118 -0.9998773 -1 0 0 0 0.6607679 -0.7505904 -1 0 0 0 0.8063211 -0.5914781 -1 0 0 1 0 0 1 0 0 0 0.5030384 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642541 -0.5030553 -0.7071032 -0.3556933 0.6111361 0 -0.5030238 0.8642726 6.55183e-5 -0.8642541 -0.5030554 0 0.5030695 -0.8642459 0.7071033 -0.3556933 0.6111361 0.7070934 0.3557305 -0.6111257 -1 0 0 -0.7070934 0.3557306 -0.6111257 1 0 0 0 -0.5030653 0.8642484 -8.10043e-4 -0.8642615 -0.5030421 1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 0.5030696 -0.864246 0 -0.5030238 0.8642726 0 -0.5030238 0.8642726 3.50699e-5 -0.8642627 -0.5030407 0.707096 0.3556986 -0.6111413 0 0.5030254 -0.8642716 -1 0 0 -0.7070995 0.3556963 -0.6111386 0.7070984 -0.3556961 0.6111401 -0.7070905 -0.3557054 0.6111438 1 0 0 0 -0.5030238 0.8642727 1 0 0 -1 9.35702e-7 5.44628e-7 -0.7070967 0.3557111 -0.6111332 0 -0.5030243 0.8642723 -2.20618e-7 -0.8642628 -0.5030408 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 -0.5030243 0.8642723 0 -0.8642783 -0.5030141 0 -0.864295 -0.5029852 0 -0.8642617 -0.5030424 0 -0.1160612 0.9932422 0 -0.38018 0.9249125 -1 0 0 0 -0.3262854 0.9452713 -1 0 0 0 -0.8616706 0.5074682 0 -0.9848992 -0.1731289 1 0 0 0 -0.636982 -0.7708787 1 0 0 0 0.01566118 -0.9998774 1 0 0 0 0.6607679 -0.7505905 1 0 0 0 0.8063211 -0.5914781 1 0 0 -1 0 0 -1 0 0 0 0.5030383 -0.8642641 -1 0 0 0 -0.5030653 0.8642485 0 0.6164398 -0.787402 0 -0.1160612 0.9932421 0 -0.38018 0.9249125 -1 0 0 0 -0.3262854 0.9452713 -1 0 0 0 -0.8616705 0.5074682 0 -0.9848992 -0.1731289 1 0 0 0 -0.636982 -0.7708787 1 0 0 0 0.01566118 -0.9998773 1 0 0 0 0.6607679 -0.7505904 1 0 0 0 0.8063211 -0.5914781 1 0 0 -1 0 0 -1 0 0 0 0.5030383 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642542 -0.5030554 0.7072886 -0.3556311 0.6109576 -6.72566e-5 -0.8642541 -0.5030553 -0.7162993 -0.3510065 0.6030835 -0.7162886 0.3526428 -0.6021409 1 0 0 -1 0 0 0 -0.5030653 0.8642484 6.55557e-5 -0.8642542 -0.5030554 -1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 -0.1160612 0.993242 0 -0.38018 0.9249125 -1 0 0 0 -0.3262854 0.9452714 -1 0 0 0 -0.8616706 0.5074682 0 -0.9848991 -0.1731289 1 0 0 0 -0.636982 -0.7708786 1 0 0 0 0.01566118 -0.9998773 1 0 0 0 0.6607679 -0.7505904 1 0 0 0 0.8063211 -0.5914781 1 0 0 -1 0 0 -1 0 0 0 0.5030384 -0.8642641 0 -0.8642541 -0.5030553 0 -0.8642541 -0.5030553 0.7072834 -0.3556337 0.6109622 0 -0.5030238 0.8642726 -6.55183e-5 -0.8642541 -0.5030554 0 0.5030695 -0.8642459 -0.7071033 -0.3556933 0.6111361 -0.7070937 0.3557304 -0.6111255 1 0 0 0.7070934 0.3557306 -0.6111257 -1 0 0 0 -0.5030653 0.8642484 6.55547e-5 -0.8642541 -0.5030554 -1 0 0 0 0.6164398 -0.787402 0 0.5030695 -0.8642459 0 0.5030696 -0.864246 0 -0.5030238 0.8642726 0 -0.5030238 0.8642726 -3.50699e-5 -0.8642627 -0.5030407 -0.707097 0.3556976 -0.6111407 0 0.5030254 -0.8642716 1 0 0 0.7070995 0.3556963 -0.6111386 -0.7070879 -0.3557067 0.6111459 0.7070905 -0.3557054 0.6111438 -1 0 0 0 -0.5030243 0.8642723 1 9.35703e-7 5.44629e-7 0.7070967 0.3557111 -0.6111332 0 -0.5030243 0.8642723 2.20618e-7 -0.8642628 -0.5030408 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 -0.5030243 0.8642722 0 -0.5030242 0.8642722 0 -0.5030243 0.8642724 0 -0.5030243 0.8642722 0 -0.8642783 -0.5030141 0 -0.864295 -0.5029852 0 -0.8642617 -0.5030424 0 0.2579673 -0.9661536 1 0 0 0 0.7052415 -0.7089672 0 -0.8695412 -0.4938606 1 0 0 0 0.8695412 -0.4938606 0 1 0 -1 0 0 -1 0 0 0 -0.9913181 -0.1314851 0 0.9913181 -0.1314851 0 -0.2579673 -0.9661536 1 0 0 1 0 0 1 0 0 -1 0 0 -1 0 0 0 -0.7052415 -0.7089672 0 0 -1 0 -1 0 0 0 1 -1 0 0 0 -0.5030696 -0.864246 0 0.5030237 0.8642726 0.7071032 0.3556924 0.6111367 0 0.5030238 0.8642726 0 -0.5030695 -0.8642459 0.7070934 -0.3557315 -0.6111252 0 -0.5030695 -0.8642459 0 -0.5030695 -0.864246 0 0.5030237 0.8642727 0 0.5030238 0.8642727 0 -0.5030254 -0.8642716 0 0.8642542 -0.5030553 0 -0.5030695 -0.8642459 1.34204e-5 0.5030435 0.8642612 -1 1.93186e-6 -1.12448e-6 -1.31187e-4 0.8642603 -0.5030451 0.7070985 -0.3557102 -0.6111317 0 0.5030243 0.8642724 0 -0.5030254 -0.8642717 0 0.5030243 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 -0.5030254 -0.8642716 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642716 0 0.5030243 0.8642724 1.73542e-6 0.8642627 -0.5030408 0 0.5030243 0.8642723 0 -0.5030254 -0.8642716 -1.95721e-5 0.8642575 -0.5030496 0 0.5030238 0.8642727 1.31187e-4 0.8642603 -0.5030451 -0.7071329 -0.3557108 -0.6110916 0 0.5030243 0.8642724 0 -0.5030254 -0.8642717 0 0.5030243 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642723 0 -0.5030254 -0.8642716 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642716 0 0.5030243 0.8642724 0 -0.5030254 -0.8642716 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 -0.5030254 -0.8642717 0 0.5030243 0.8642722 0 0.5030242 0.8642722 0 0.5030243 0.8642722 0 0.5030243 0.8642724 0 0.5030243 0.8642724 0 0.5030243 0.8642722 -1.73542e-6 0.8642627 -0.5030407 0 -0.5030242 0.8642723 0 0.5030254 -0.8642716 3.17279e-5 -0.8642595 -0.503046 0 0.5030421 -0.864262 -0.7071009 -0.3556944 0.6111382 -4.96704e-5 -0.8642596 -0.503046 0 -0.5030243 0.8642724 0 0.5030254 -0.8642717 0 -0.5030243 0.8642722 0 -0.5030243 0.8642722 0 -0.5030243 0.8642723 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 0.5030254 -0.8642716 0 -0.5030243 0.8642724 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 0.5030254 -0.8642717 0 -0.5030243 0.8642723 0 -0.5030242 0.8642722 0 -0.5030243 0.8642722 0 -0.5030243 0.8642724 0 -0.5030243 0.8642724 0 -0.5030243 0.8642723 -1.73542e-6 -0.8642627 -0.5030407 0 0.5030695 -0.8642459 0 -0.5030237 0.8642726 0 -0.5030237 0.8642726 0 0.5030696 -0.8642459 0.7070934 0.3557315 -0.6111252 0 0.5030696 -0.864246 0 -0.5030237 0.8642727 0 -0.5030238 0.8642727 0 0.5030254 -0.8642716 -3.17279e-5 -0.8642595 -0.503046 1.86831e-5 0.5030695 -0.8642459 0 -0.5030237 0.8642726 -1 -1.93172e-6 -1.12435e-6 0.7071256 -0.3556948 0.6111093 6.84598e-5 -0.8642603 -0.503045 0 -0.5030243 0.8642724 0 0.5030254 -0.8642717 0 -0.5030243 0.8642722 0 -0.5030243 0.8642722 0 -0.5030243 0.8642723 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 0.5030254 -0.8642716 0 -0.5030243 0.8642724 0 0.5030254 -0.8642716 0 0.5030254 -0.8642717 0 -0.5030243 0.8642722 0 -0.5030243 0.8642724 1.73542e-6 -0.8642627 -0.5030408</float_array>
+ <technique_common>
+ <accessor source="#shape0_006-mesh-normals-array" count="1316" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shape0_006-mesh-vertices">
+ <input semantic="POSITION" source="#shape0_006-mesh-positions"/>
+ </vertices>
+ <polylist material="Material-material" count="1316">
+ <input semantic="VERTEX" source="#shape0_006-mesh-vertices" offset="0"/>
+ <input semantic="NORMAL" source="#shape0_006-mesh-normals" offset="1"/>
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>18 0 5 0 1 0 21 1 18 1 2 1 4 2 6 2 10 2 5 3 17 3 4 3 6 4 8 4 3 4 17 5 20 5 6 5 7 6 0 6 8 6 20 7 9 7 8 7 21 8 25 8 15 8 9 9 19 9 7 9 14 10 18 10 15 10 19 11 11 11 0 11 12 12 5 12 14 12 11 13 12 13 3 13 5 14 12 14 17 14 12 15 14 15 10 15 17 16 11 16 20 16 19 17 9 17 20 17 2 18 1 18 16 18 10 19 13 19 4 19 15 20 23 20 16 20 16 21 22 21 24 21 21 22 2 22 25 22 14 23 15 23 13 23 44 24 31 24 27 24 47 25 44 25 28 25 30 26 32 26 36 26 31 27 43 27 30 27 32 28 34 28 29 28 43 29 46 29 32 29 33 30 26 30 34 30 46 31 35 31 34 31 47 32 65 32 41 32 35 33 45 33 33 33 40 34 44 34 41 34 45 35 37 35 26 35 38 36 31 36 40 36 37 37 38 37 29 37 31 38 38 38 43 38 38 39 40 39 36 39 43 40 37 40 46 40 45 41 35 41 46 41 28 42 27 42 42 42 36 43 39 43 30 43 41 44 63 44 42 44 50 45 52 45 65 45 64 46 62 46 48 46 59 47 48 47 61 47 59 48 58 48 48 48 54 49 61 49 53 49 51 50 60 50 56 50 42 51 62 51 64 51 47 52 28 52 65 52 51 53 52 53 50 53 59 54 61 54 58 54 40 55 41 55 39 55 84 56 71 56 67 56 87 57 84 57 68 57 70 58 72 58 76 58 71 59 83 59 70 59 72 60 74 60 69 60 83 61 86 61 72 61 73 62 66 62 74 62 86 63 75 63 74 63 87 64 110 64 81 64 75 65 85 65 73 65 80 66 84 66 81 66 85 67 77 67 66 67 78 68 71 68 80 68 77 69 78 69 69 69 71 70 78 70 83 70 78 71 80 71 76 71 83 72 77 72 86 72 85 73 75 73 86 73 68 74 67 74 82 74 76 75 79 75 70 75 81 76 106 76 82 76 91 77 93 77 110 77 109 78 105 78 88 78 98 79 102 79 91 79 110 80 111 80 91 80 101 81 88 81 103 81 107 82 106 82 94 82 101 83 100 83 88 83 96 84 103 84 97 84 92 85 102 85 98 85 92 86 99 86 93 86 82 87 105 87 109 87 87 88 68 88 110 88 92 89 93 89 91 89 101 90 103 90 100 90 80 91 81 91 79 91 95 92 97 92 104 92 104 93 105 93 107 93 88 94 89 94 109 94 109 95 108 95 110 95 114 96 112 96 113 96 117 97 121 97 118 97 134 98 121 98 133 98 122 99 116 99 124 99 127 100 116 100 126 100 114 101 123 101 115 101 125 102 120 102 124 102 118 103 123 103 114 103 178 104 120 104 179 104 124 105 130 105 125 105 127 106 132 106 130 106 115 107 139 107 112 107 100 108 112 108 140 108 133 109 117 109 96 109 100 110 96 110 112 110 148 111 143 111 149 111 94 112 99 112 142 112 98 113 90 113 145 113 151 114 148 114 149 114 155 115 151 115 150 115 156 116 153 116 157 116 153 117 155 117 152 117 158 118 156 118 159 118 160 119 158 119 161 119 165 120 160 120 164 120 167 121 162 121 166 121 119 122 165 122 126 122 146 123 167 123 145 123 162 124 168 124 163 124 168 125 170 125 169 125 170 126 172 126 171 126 172 127 174 127 173 127 174 128 176 128 175 128 176 129 178 129 177 129 157 130 57 130 159 130 161 131 159 131 57 131 56 132 173 132 175 132 177 133 56 133 175 133 54 134 149 134 99 134 166 135 58 135 145 135 58 136 54 136 98 136 150 137 149 137 54 137 58 138 166 138 163 138 198 139 181 139 185 139 201 140 182 140 198 140 184 141 190 141 186 141 185 142 184 142 197 142 186 143 183 143 188 143 197 144 186 144 200 144 187 145 188 145 180 145 200 146 188 146 189 146 201 147 195 147 208 147 189 148 187 148 199 148 194 149 195 149 198 149 199 150 180 150 191 150 192 151 194 151 185 151 191 152 183 152 192 152 185 153 197 153 192 153 192 154 190 154 194 154 197 155 200 155 191 155 199 156 200 156 189 156 182 157 196 157 181 157 190 158 184 158 193 158 195 159 196 159 204 159 196 160 182 160 207 160 201 161 208 161 182 161 194 162 193 162 195 162 202 163 205 163 203 163 207 164 208 164 206 164 228 165 211 165 215 165 231 166 212 166 228 166 214 167 220 167 216 167 215 168 214 168 227 168 216 169 213 169 218 169 227 170 216 170 230 170 217 171 218 171 210 171 230 172 218 172 219 172 231 173 225 173 254 173 219 174 217 174 229 174 224 175 225 175 228 175 229 176 210 176 221 176 222 177 224 177 215 177 221 178 213 178 222 178 215 179 227 179 222 179 222 180 220 180 224 180 227 181 230 181 221 181 229 182 230 182 219 182 212 183 226 183 211 183 220 184 214 184 223 184 225 185 226 185 250 185 235 186 254 186 237 186 253 187 232 187 249 187 242 188 234 188 235 188 254 189 235 189 255 189 245 190 247 190 232 190 251 191 238 191 250 191 245 192 232 192 244 192 240 193 239 193 247 193 236 194 243 194 242 194 236 195 237 195 243 195 226 196 212 196 253 196 231 197 254 197 212 197 236 198 246 198 235 198 245 199 244 199 247 199 224 200 223 200 225 200 239 201 248 201 241 201 248 202 251 202 249 202 232 203 253 203 233 203 253 204 254 204 252 204 274 205 257 205 261 205 277 206 258 206 274 206 260 207 266 207 262 207 261 208 260 208 273 208 262 209 259 209 264 209 273 210 262 210 276 210 263 211 264 211 256 211 276 212 264 212 265 212 277 213 271 213 300 213 265 214 263 214 275 214 270 215 271 215 274 215 275 216 256 216 267 216 268 217 270 217 261 217 267 218 259 218 268 218 261 219 273 219 268 219 268 220 266 220 270 220 273 221 276 221 267 221 275 222 276 222 265 222 258 223 272 223 257 223 266 224 260 224 269 224 271 225 272 225 296 225 281 226 300 226 283 226 299 227 278 227 295 227 288 228 280 228 281 228 300 229 281 229 301 229 291 230 293 230 278 230 297 231 284 231 296 231 291 232 278 232 290 232 286 233 285 233 287 233 282 234 289 234 288 234 282 235 283 235 289 235 272 236 258 236 299 236 277 237 300 237 258 237 282 238 292 238 281 238 291 239 290 239 293 239 270 240 269 240 271 240 285 241 294 241 287 241 294 242 297 242 295 242 278 243 299 243 279 243 299 244 300 244 298 244 304 245 303 245 302 245 307 246 303 246 308 246 324 247 323 247 311 247 312 248 314 248 306 248 317 249 316 249 306 249 304 250 302 250 305 250 315 251 314 251 310 251 308 252 303 252 304 252 205 253 316 253 204 253 202 254 203 254 207 254 314 255 315 255 320 255 317 256 314 256 320 256 305 257 302 257 329 257 290 258 330 258 302 258 323 259 286 259 307 259 290 260 302 260 286 260 338 261 339 261 333 261 284 262 332 262 289 262 288 263 335 263 280 263 341 264 340 264 339 264 352 265 351 265 348 265 336 266 335 266 352 266 240 267 289 267 339 267 351 268 335 268 244 268 244 269 288 269 240 269 340 270 240 270 339 270 244 271 349 271 351 271 378 272 365 272 361 272 381 273 378 273 362 273 364 274 366 274 370 274 365 275 377 275 364 275 366 276 368 276 363 276 377 277 380 277 366 277 367 278 360 278 368 278 380 279 369 279 368 279 381 280 388 280 375 280 369 281 379 281 367 281 374 282 378 282 375 282 379 283 371 283 360 283 372 284 365 284 374 284 371 285 372 285 363 285 365 286 372 286 377 286 372 287 374 287 370 287 377 288 371 288 380 288 379 289 369 289 380 289 362 290 361 290 376 290 370 291 373 291 364 291 375 292 384 292 376 292 376 293 383 293 387 293 381 294 362 294 388 294 374 295 375 295 373 295 382 296 383 296 385 296 387 297 386 297 388 297 408 298 395 298 391 298 411 299 408 299 392 299 394 300 396 300 400 300 395 301 407 301 394 301 396 302 398 302 393 302 407 303 410 303 396 303 397 304 390 304 398 304 410 305 399 305 398 305 411 306 434 306 405 306 399 307 409 307 397 307 404 308 408 308 405 308 409 309 401 309 390 309 402 310 395 310 404 310 401 311 402 311 393 311 395 312 402 312 407 312 402 313 404 313 400 313 407 314 401 314 410 314 409 315 399 315 410 315 392 316 391 316 406 316 400 317 403 317 394 317 405 318 430 318 406 318 415 319 417 319 434 319 433 320 429 320 412 320 422 321 426 321 415 321 434 322 435 322 415 322 425 323 412 323 427 323 431 324 430 324 418 324 425 325 424 325 412 325 420 326 427 326 419 326 416 327 426 327 422 327 416 328 423 328 417 328 406 329 429 329 433 329 411 330 392 330 434 330 416 331 417 331 415 331 425 332 427 332 424 332 404 333 405 333 403 333 419 334 421 334 428 334 428 335 429 335 431 335 412 336 413 336 433 336 433 337 432 337 434 337 454 338 441 338 437 338 457 339 454 339 438 339 440 340 442 340 446 340 441 341 453 341 440 341 442 342 444 342 439 342 453 343 456 343 442 343 443 344 436 344 444 344 456 345 445 345 444 345 457 346 480 346 451 346 445 347 455 347 443 347 450 348 454 348 451 348 455 349 447 349 436 349 448 350 441 350 450 350 447 351 448 351 439 351 441 352 448 352 453 352 448 353 450 353 446 353 453 354 447 354 456 354 455 355 445 355 456 355 438 356 437 356 452 356 446 357 449 357 440 357 451 358 476 358 452 358 461 359 463 359 480 359 479 360 475 360 458 360 468 361 472 361 461 361 480 362 481 362 461 362 471 363 458 363 473 363 477 364 476 364 464 364 471 365 470 365 458 365 466 366 473 366 467 366 462 367 472 367 468 367 462 368 469 368 463 368 452 369 475 369 479 369 457 370 438 370 480 370 462 371 463 371 461 371 471 372 473 372 470 372 450 373 451 373 449 373 465 374 467 374 474 374 474 375 475 375 477 375 458 376 459 376 479 376 479 377 478 377 480 377 484 378 482 378 483 378 487 379 491 379 488 379 504 380 491 380 503 380 492 381 486 381 494 381 497 382 486 382 496 382 484 383 493 383 485 383 495 384 490 384 494 384 488 385 493 385 484 385 388 386 389 386 499 386 382 387 386 387 387 387 497 388 502 388 500 388 496 389 501 389 497 389 485 390 509 390 482 390 470 391 482 391 510 391 503 392 487 392 466 392 470 393 466 393 482 393 518 394 513 394 519 394 464 395 469 395 512 395 468 396 460 396 515 396 521 397 518 397 519 397 532 398 528 398 531 398 516 399 532 399 515 399 420 400 519 400 469 400 531 401 424 401 515 401 424 402 420 402 468 402 520 403 519 403 420 403 424 404 531 404 529 404 558 405 541 405 545 405 561 406 542 406 558 406 544 407 550 407 546 407 545 408 544 408 557 408 546 409 543 409 548 409 557 410 546 410 560 410 547 411 548 411 540 411 560 412 548 412 549 412 561 413 555 413 565 413 549 414 547 414 559 414 554 415 555 415 558 415 559 416 540 416 551 416 552 417 554 417 545 417 551 418 543 418 552 418 545 419 557 419 552 419 552 420 550 420 554 420 557 421 560 421 551 421 559 422 560 422 549 422 542 423 556 423 541 423 550 424 544 424 553 424 555 425 556 425 563 425 556 426 542 426 564 426 561 427 565 427 542 427 554 428 553 428 555 428 584 429 567 429 571 429 587 430 568 430 584 430 570 431 576 431 572 431 571 432 570 432 583 432 572 433 569 433 574 433 583 434 572 434 586 434 573 435 574 435 566 435 586 436 574 436 575 436 587 437 581 437 607 437 575 438 573 438 585 438 580 439 581 439 584 439 585 440 566 440 577 440 578 441 580 441 571 441 577 442 569 442 578 442 571 443 583 443 578 443 578 444 576 444 580 444 583 445 586 445 577 445 585 446 586 446 575 446 568 447 582 447 567 447 576 448 570 448 579 448 581 449 582 449 605 449 591 450 607 450 593 450 606 451 588 451 604 451 597 452 590 452 591 452 600 453 602 453 588 453 600 454 588 454 599 454 595 455 594 455 602 455 592 456 598 456 597 456 582 457 568 457 606 457 587 458 607 458 568 458 592 459 601 459 591 459 600 460 599 460 602 460 580 461 579 461 581 461 594 462 603 462 596 462 626 463 609 463 613 463 629 464 610 464 626 464 612 465 618 465 614 465 613 466 612 466 625 466 614 467 611 467 616 467 625 468 614 468 628 468 615 469 616 469 608 469 628 470 616 470 617 470 629 471 623 471 652 471 617 472 615 472 627 472 622 473 623 473 626 473 627 474 608 474 619 474 620 475 622 475 613 475 619 476 611 476 620 476 613 477 625 477 620 477 620 478 618 478 622 478 625 479 628 479 619 479 627 480 628 480 617 480 610 481 624 481 609 481 618 482 612 482 621 482 623 483 624 483 648 483 633 484 652 484 635 484 651 485 630 485 647 485 640 486 632 486 633 486 652 487 633 487 653 487 643 488 645 488 630 488 649 489 636 489 648 489 643 490 630 490 642 490 638 491 637 491 639 491 634 492 641 492 640 492 634 493 635 493 641 493 624 494 610 494 651 494 629 495 652 495 610 495 634 496 644 496 633 496 643 497 642 497 645 497 622 498 621 498 623 498 637 499 646 499 639 499 646 500 649 500 647 500 630 501 651 501 631 501 651 502 652 502 650 502 656 503 655 503 654 503 659 504 655 504 660 504 676 505 675 505 663 505 664 506 666 506 658 506 669 507 668 507 658 507 656 508 654 508 657 508 667 509 666 509 662 509 660 510 655 510 656 510 718 511 719 511 662 511 669 512 666 512 672 512 668 513 669 513 673 513 657 514 654 514 681 514 642 515 682 515 654 515 675 516 638 516 659 516 642 517 654 517 638 517 690 518 691 518 685 518 636 519 684 519 641 519 640 520 687 520 632 520 693 521 692 521 691 521 697 522 698 522 695 522 699 523 700 523 697 523 701 524 702 524 699 524 706 525 705 525 701 525 708 526 707 526 703 526 661 527 668 527 706 527 688 528 687 528 708 528 703 529 704 529 709 529 709 530 710 530 711 530 714 531 715 531 716 531 716 532 717 532 718 532 698 533 700 533 598 533 702 534 598 534 700 534 717 535 715 535 597 535 595 536 641 536 691 536 707 537 687 537 599 537 599 538 640 538 595 538 692 539 595 539 691 539 599 540 704 540 707 540 743 541 720 541 723 541 736 542 735 542 742 542 723 543 724 543 742 543 737 544 730 544 736 544 737 545 736 545 726 545 742 546 725 546 726 546 731 547 741 547 728 547 727 548 730 548 728 548 732 549 731 549 729 549 730 550 737 550 729 550 728 551 739 551 727 551 735 552 733 552 722 552 723 553 735 553 743 553 739 554 738 554 726 554 741 555 740 555 739 555 724 556 720 556 733 556 734 557 725 557 733 557 736 558 734 558 735 558 720 559 743 559 721 559 740 560 732 560 738 560 732 561 740 561 731 561 725 562 734 562 727 562 161 563 22 563 23 563 24 564 177 564 25 564 56 565 60 565 50 565 65 566 171 566 50 566 152 567 63 567 52 567 51 568 57 568 52 568 53 569 55 569 154 569 154 570 62 570 63 570 48 571 49 571 64 571 64 572 169 572 65 572 135 573 134 573 95 573 25 574 131 574 129 574 164 575 23 575 129 575 25 576 179 576 125 576 161 577 177 577 24 577 131 578 130 578 129 578 126 579 129 579 132 579 139 580 128 580 140 580 147 581 135 581 104 581 128 582 136 582 89 582 138 583 137 583 111 583 136 584 138 584 108 584 95 585 133 585 96 585 89 586 100 586 140 586 143 587 141 587 142 587 141 588 144 588 94 588 144 589 147 589 107 589 137 590 146 590 90 590 57 591 56 591 161 591 359 592 209 592 315 592 325 593 285 593 324 593 208 594 204 594 319 594 208 595 321 595 315 595 321 596 319 596 320 596 316 597 317 597 322 597 329 598 330 598 318 598 337 599 294 599 325 599 318 600 279 600 326 600 328 601 301 601 327 601 326 602 298 602 328 602 285 603 286 603 323 603 279 604 330 604 290 604 333 605 332 605 331 605 331 606 284 606 334 606 334 607 297 607 337 607 327 608 280 608 336 608 343 609 248 609 340 609 344 610 238 610 342 610 342 611 251 611 343 611 345 612 346 612 344 612 347 613 202 613 345 613 350 614 205 614 347 614 309 615 316 615 350 615 348 616 349 616 252 616 353 617 252 617 255 617 354 618 255 618 234 618 355 619 234 619 356 619 356 620 357 620 206 620 358 621 206 621 209 621 238 622 346 622 243 622 202 623 243 623 346 623 242 624 357 624 234 624 206 625 357 625 242 625 243 626 202 626 242 626 539 627 490 627 495 627 505 628 504 628 465 628 388 629 499 629 384 629 385 630 384 630 501 630 494 631 500 631 499 631 499 632 500 632 502 632 509 633 498 633 510 633 517 634 505 634 474 634 498 635 506 635 459 635 508 636 507 636 481 636 506 637 508 637 478 637 465 638 503 638 466 638 459 639 470 639 510 639 513 640 511 640 512 640 511 641 514 641 464 641 514 642 517 642 477 642 507 643 516 643 460 643 523 644 521 644 520 644 524 645 522 645 418 645 522 646 523 646 431 646 525 647 524 647 526 647 527 648 525 648 382 648 530 649 527 649 385 649 489 650 530 650 496 650 528 651 533 651 432 651 533 652 534 652 435 652 534 653 535 653 414 653 535 654 536 654 414 654 536 655 538 655 386 655 538 656 539 656 389 656 418 657 423 657 526 657 382 658 526 658 423 658 422 659 414 659 537 659 386 660 422 660 537 660 423 661 422 661 382 661 702 662 705 662 563 662 564 663 565 663 717 663 607 664 591 664 712 664 694 665 698 665 593 665 592 666 593 666 598 666 603 667 694 667 605 667 588 668 606 668 589 668 606 669 607 669 710 669 677 670 637 670 676 670 565 671 563 671 671 671 705 672 668 672 673 672 565 673 671 673 719 673 702 674 562 674 564 674 666 675 667 675 671 675 671 676 673 676 674 676 681 677 682 677 670 677 689 678 646 678 677 678 670 679 631 679 678 679 680 680 653 680 679 680 678 681 650 681 680 681 637 682 638 682 675 682 631 683 682 683 642 683 685 684 684 684 683 684 683 685 636 685 686 685 686 686 649 686 689 686 679 687 632 687 688 687 696 688 603 688 692 688 695 689 694 689 696 689 711 690 712 690 590 690 713 691 590 691 714 691 597 692 715 692 590 692 598 693 702 693 597 693 5 694 4 694 1 694 18 695 1 695 2 695 6 696 3 696 10 696 17 697 6 697 4 697 8 698 0 698 3 698 20 699 8 699 6 699 9 700 7 700 8 700 25 701 23 701 15 701 19 702 0 702 7 702 18 703 21 703 15 703 11 704 3 704 0 704 5 705 18 705 14 705 12 706 10 706 3 706 12 707 11 707 17 707 14 708 13 708 10 708 11 709 19 709 20 709 1 710 13 710 16 710 13 711 1 711 4 711 23 712 22 712 16 712 2 713 16 713 24 713 2 714 24 714 25 714 15 715 16 715 13 715 31 716 30 716 27 716 44 717 27 717 28 717 32 718 29 718 36 718 43 719 32 719 30 719 34 720 26 720 29 720 46 721 34 721 32 721 35 722 33 722 34 722 65 723 63 723 41 723 45 724 26 724 33 724 44 725 47 725 41 725 37 726 29 726 26 726 31 727 44 727 40 727 38 728 36 728 29 728 38 729 37 729 43 729 40 730 39 730 36 730 37 731 45 731 46 731 27 732 39 732 42 732 39 733 27 733 30 733 63 734 62 734 42 734 52 735 63 735 65 735 62 736 55 736 48 736 48 737 55 737 61 737 58 738 49 738 48 738 61 739 55 739 53 739 57 740 51 740 56 740 28 741 42 741 64 741 28 742 64 742 65 742 60 743 51 743 50 743 61 744 54 744 58 744 41 745 42 745 39 745 71 746 70 746 67 746 84 747 67 747 68 747 72 748 69 748 76 748 83 749 72 749 70 749 74 750 66 750 69 750 86 751 74 751 72 751 75 752 73 752 74 752 110 753 106 753 81 753 85 754 66 754 73 754 84 755 87 755 81 755 77 756 69 756 66 756 71 757 84 757 80 757 78 758 76 758 69 758 78 759 77 759 83 759 80 760 79 760 76 760 77 761 85 761 86 761 67 762 79 762 82 762 79 763 67 763 70 763 106 764 105 764 82 764 93 765 106 765 110 765 105 766 97 766 88 766 90 767 98 767 91 767 111 768 90 768 91 768 88 769 97 769 103 769 106 770 93 770 94 770 100 771 89 771 88 771 95 772 96 772 97 772 99 773 92 773 98 773 99 774 94 774 93 774 68 775 82 775 109 775 68 776 109 776 110 776 102 777 92 777 91 777 103 778 96 778 100 778 81 779 82 779 79 779 97 780 105 780 104 780 105 781 106 781 107 781 89 782 108 782 109 782 108 783 111 783 110 783 112 784 117 784 113 784 113 785 117 785 118 785 121 786 117 786 133 786 116 787 127 787 124 787 116 788 119 788 126 788 112 789 114 789 115 789 120 790 122 790 124 790 113 791 118 791 114 791 120 792 125 792 179 792 130 793 131 793 125 793 124 794 127 794 130 794 139 795 140 795 112 795 96 796 117 796 112 796 143 797 142 797 149 797 150 798 151 798 149 798 154 799 155 799 150 799 153 800 152 800 157 800 155 801 154 801 152 801 156 802 157 802 159 802 158 803 159 803 161 803 160 804 161 804 164 804 162 805 163 805 166 805 165 806 164 806 126 806 167 807 166 807 145 807 168 808 169 808 163 808 170 809 171 809 169 809 172 810 173 810 171 810 174 811 175 811 173 811 176 812 177 812 175 812 178 813 179 813 177 813 149 814 142 814 99 814 58 815 98 815 145 815 54 816 99 816 98 816 181 817 184 817 185 817 182 818 181 818 198 818 190 819 183 819 186 819 184 820 186 820 197 820 183 821 180 821 188 821 186 822 188 822 200 822 188 823 187 823 189 823 195 824 204 824 208 824 187 825 180 825 199 825 195 826 201 826 198 826 180 827 183 827 191 827 194 828 198 828 185 828 183 829 190 829 192 829 197 830 191 830 192 830 190 831 193 831 194 831 200 832 199 832 191 832 196 833 193 833 181 833 184 834 181 834 193 834 196 835 203 835 204 835 203 836 196 836 207 836 208 837 207 837 182 837 193 838 196 838 195 838 205 839 204 839 203 839 208 840 209 840 206 840 211 841 214 841 215 841 212 842 211 842 228 842 220 843 213 843 216 843 214 844 216 844 227 844 213 845 210 845 218 845 216 846 218 846 230 846 218 847 217 847 219 847 225 848 250 848 254 848 217 849 210 849 229 849 225 850 231 850 228 850 210 851 213 851 221 851 224 852 228 852 215 852 213 853 220 853 222 853 227 854 221 854 222 854 220 855 223 855 224 855 230 856 229 856 221 856 226 857 223 857 211 857 214 858 211 858 223 858 226 859 249 859 250 859 254 860 250 860 237 860 232 861 241 861 249 861 246 862 242 862 235 862 235 863 234 863 255 863 247 864 241 864 232 864 238 865 237 865 250 865 232 866 233 866 244 866 239 867 241 867 247 867 246 868 236 868 242 868 237 869 238 869 243 869 249 870 226 870 253 870 254 871 253 871 212 871 237 872 236 872 235 872 244 873 240 873 247 873 223 874 226 874 225 874 248 875 249 875 241 875 251 876 250 876 249 876 253 877 252 877 233 877 254 878 255 878 252 878 257 879 260 879 261 879 258 880 257 880 274 880 266 881 259 881 262 881 260 882 262 882 273 882 259 883 256 883 264 883 262 884 264 884 276 884 264 885 263 885 265 885 271 886 296 886 300 886 263 887 256 887 275 887 271 888 277 888 274 888 256 889 259 889 267 889 270 890 274 890 261 890 259 891 266 891 268 891 273 892 267 892 268 892 266 893 269 893 270 893 276 894 275 894 267 894 272 895 269 895 257 895 260 896 257 896 269 896 272 897 295 897 296 897 300 898 296 898 283 898 278 899 287 899 295 899 292 900 288 900 281 900 281 901 280 901 301 901 293 902 287 902 278 902 284 903 283 903 296 903 278 904 279 904 290 904 293 905 286 905 287 905 292 906 282 906 288 906 283 907 284 907 289 907 295 908 272 908 299 908 300 909 299 909 258 909 283 910 282 910 281 910 290 911 286 911 293 911 269 912 272 912 271 912 294 913 295 913 287 913 297 914 296 914 295 914 299 915 298 915 279 915 300 916 301 916 298 916 303 917 307 917 302 917 311 918 307 918 308 918 323 919 307 919 311 919 314 920 317 920 306 920 316 921 309 921 306 921 313 922 304 922 305 922 314 923 312 923 310 923 313 924 308 924 304 924 316 925 319 925 204 925 206 926 202 926 207 926 315 927 321 927 320 927 322 928 317 928 320 928 302 929 330 929 329 929 302 930 307 930 286 930 339 931 332 931 333 931 338 932 341 932 339 932 351 933 349 933 348 933 335 934 351 934 352 934 289 935 332 935 339 935 335 936 288 936 244 936 288 937 289 937 240 937 365 938 364 938 361 938 378 939 361 939 362 939 366 940 363 940 370 940 377 941 366 941 364 941 368 942 360 942 363 942 380 943 368 943 366 943 369 944 367 944 368 944 388 945 384 945 375 945 379 946 360 946 367 946 378 947 381 947 375 947 371 948 363 948 360 948 365 949 378 949 374 949 372 950 370 950 363 950 372 951 371 951 377 951 374 952 373 952 370 952 371 953 379 953 380 953 361 954 373 954 376 954 373 955 361 955 364 955 384 956 383 956 376 956 362 957 376 957 387 957 362 958 387 958 388 958 375 959 376 959 373 959 383 960 384 960 385 960 386 961 389 961 388 961 395 962 394 962 391 962 408 963 391 963 392 963 396 964 393 964 400 964 407 965 396 965 394 965 398 966 390 966 393 966 410 967 398 967 396 967 399 968 397 968 398 968 434 969 430 969 405 969 409 970 390 970 397 970 408 971 411 971 405 971 401 972 393 972 390 972 395 973 408 973 404 973 402 974 400 974 393 974 402 975 401 975 407 975 404 976 403 976 400 976 401 977 409 977 410 977 391 978 403 978 406 978 403 979 391 979 394 979 430 980 429 980 406 980 417 981 430 981 434 981 429 982 421 982 412 982 414 983 422 983 415 983 435 984 414 984 415 984 412 985 421 985 427 985 430 986 417 986 418 986 424 987 413 987 412 987 427 988 421 988 419 988 423 989 416 989 422 989 423 990 418 990 417 990 392 991 406 991 433 991 392 992 433 992 434 992 426 993 416 993 415 993 427 994 420 994 424 994 405 995 406 995 403 995 421 996 429 996 428 996 429 997 430 997 431 997 413 998 432 998 433 998 432 999 435 999 434 999 441 1000 440 1000 437 1000 454 1001 437 1001 438 1001 442 1002 439 1002 446 1002 453 1003 442 1003 440 1003 444 1004 436 1004 439 1004 456 1005 444 1005 442 1005 445 1006 443 1006 444 1006 480 1007 476 1007 451 1007 455 1008 436 1008 443 1008 454 1009 457 1009 451 1009 447 1010 439 1010 436 1010 441 1011 454 1011 450 1011 448 1012 446 1012 439 1012 448 1013 447 1013 453 1013 450 1014 449 1014 446 1014 447 1015 455 1015 456 1015 437 1016 449 1016 452 1016 449 1017 437 1017 440 1017 476 1018 475 1018 452 1018 463 1019 476 1019 480 1019 475 1020 467 1020 458 1020 460 1021 468 1021 461 1021 481 1022 460 1022 461 1022 458 1023 467 1023 473 1023 476 1024 463 1024 464 1024 470 1025 459 1025 458 1025 465 1026 466 1026 467 1026 469 1027 462 1027 468 1027 469 1028 464 1028 463 1028 438 1029 452 1029 479 1029 438 1030 479 1030 480 1030 472 1031 462 1031 461 1031 473 1032 466 1032 470 1032 451 1033 452 1033 449 1033 467 1034 475 1034 474 1034 475 1035 476 1035 477 1035 459 1036 478 1036 479 1036 478 1037 481 1037 480 1037 482 1038 487 1038 483 1038 483 1039 487 1039 488 1039 491 1040 487 1040 503 1040 486 1041 497 1041 494 1041 486 1042 489 1042 496 1042 482 1043 484 1043 485 1043 490 1044 492 1044 494 1044 483 1045 488 1045 484 1045 389 1046 495 1046 499 1046 383 1047 382 1047 387 1047 494 1048 497 1048 500 1048 501 1049 502 1049 497 1049 509 1050 510 1050 482 1050 466 1051 487 1051 482 1051 513 1052 512 1052 519 1052 520 1053 521 1053 519 1053 528 1054 529 1054 531 1054 532 1055 531 1055 515 1055 519 1056 512 1056 469 1056 424 1057 468 1057 515 1057 420 1058 469 1058 468 1058 541 1059 544 1059 545 1059 542 1060 541 1060 558 1060 550 1061 543 1061 546 1061 544 1062 546 1062 557 1062 543 1063 540 1063 548 1063 546 1064 548 1064 560 1064 548 1065 547 1065 549 1065 555 1066 563 1066 565 1066 547 1067 540 1067 559 1067 555 1068 561 1068 558 1068 540 1069 543 1069 551 1069 554 1070 558 1070 545 1070 543 1071 550 1071 552 1071 557 1072 551 1072 552 1072 550 1073 553 1073 554 1073 560 1074 559 1074 551 1074 556 1075 553 1075 541 1075 544 1076 541 1076 553 1076 556 1077 562 1077 563 1077 562 1078 556 1078 564 1078 565 1079 564 1079 542 1079 553 1080 556 1080 555 1080 567 1081 570 1081 571 1081 568 1082 567 1082 584 1082 576 1083 569 1083 572 1083 570 1084 572 1084 583 1084 569 1085 566 1085 574 1085 572 1086 574 1086 586 1086 574 1087 573 1087 575 1087 581 1088 605 1088 607 1088 573 1089 566 1089 585 1089 581 1090 587 1090 584 1090 566 1091 569 1091 577 1091 580 1092 584 1092 571 1092 569 1093 576 1093 578 1093 583 1094 577 1094 578 1094 576 1095 579 1095 580 1095 586 1096 585 1096 577 1096 582 1097 579 1097 567 1097 570 1098 567 1098 579 1098 582 1099 604 1099 605 1099 607 1100 605 1100 593 1100 588 1101 596 1101 604 1101 601 1102 597 1102 591 1102 602 1103 596 1103 588 1103 588 1104 589 1104 599 1104 594 1105 596 1105 602 1105 601 1106 592 1106 597 1106 604 1107 582 1107 606 1107 607 1108 606 1108 568 1108 593 1109 592 1109 591 1109 599 1110 595 1110 602 1110 579 1111 582 1111 581 1111 603 1112 604 1112 596 1112 609 1113 612 1113 613 1113 610 1114 609 1114 626 1114 618 1115 611 1115 614 1115 612 1116 614 1116 625 1116 611 1117 608 1117 616 1117 614 1118 616 1118 628 1118 616 1119 615 1119 617 1119 623 1120 648 1120 652 1120 615 1121 608 1121 627 1121 623 1122 629 1122 626 1122 608 1123 611 1123 619 1123 622 1124 626 1124 613 1124 611 1125 618 1125 620 1125 625 1126 619 1126 620 1126 618 1127 621 1127 622 1127 628 1128 627 1128 619 1128 624 1129 621 1129 609 1129 612 1130 609 1130 621 1130 624 1131 647 1131 648 1131 652 1132 648 1132 635 1132 630 1133 639 1133 647 1133 644 1134 640 1134 633 1134 633 1135 632 1135 653 1135 645 1136 639 1136 630 1136 636 1137 635 1137 648 1137 630 1138 631 1138 642 1138 645 1139 638 1139 639 1139 644 1140 634 1140 640 1140 635 1141 636 1141 641 1141 647 1142 624 1142 651 1142 652 1143 651 1143 610 1143 635 1144 634 1144 633 1144 642 1145 638 1145 645 1145 621 1146 624 1146 623 1146 646 1147 647 1147 639 1147 649 1148 648 1148 647 1148 651 1149 650 1149 631 1149 652 1150 653 1150 650 1150 655 1151 659 1151 654 1151 663 1152 659 1152 660 1152 675 1153 659 1153 663 1153 666 1154 669 1154 658 1154 668 1155 661 1155 658 1155 665 1156 656 1156 657 1156 666 1157 664 1157 662 1157 665 1158 660 1158 656 1158 719 1159 667 1159 662 1159 674 1160 669 1160 672 1160 669 1161 674 1161 673 1161 654 1162 682 1162 681 1162 654 1163 659 1163 638 1163 691 1164 684 1164 685 1164 690 1165 693 1165 691 1165 698 1166 694 1166 695 1166 700 1167 698 1167 697 1167 702 1168 700 1168 699 1168 705 1169 702 1169 701 1169 707 1170 704 1170 703 1170 668 1171 705 1171 706 1171 687 1172 707 1172 708 1172 704 1173 710 1173 709 1173 710 1174 712 1174 711 1174 715 1175 717 1175 716 1175 717 1176 719 1176 718 1176 641 1177 684 1177 691 1177 687 1178 640 1178 599 1178 640 1179 641 1179 595 1179 720 1180 724 1180 723 1180 735 1181 723 1181 742 1181 724 1182 725 1182 742 1182 730 1183 734 1183 736 1183 736 1184 742 1184 726 1184 725 1185 727 1185 726 1185 741 1186 739 1186 728 1186 730 1187 729 1187 728 1187 731 1188 728 1188 729 1188 737 1189 738 1189 729 1189 739 1190 726 1190 727 1190 733 1191 721 1191 722 1191 735 1192 722 1192 743 1192 738 1193 737 1193 726 1193 740 1194 738 1194 739 1194 720 1195 721 1195 733 1195 725 1196 724 1196 733 1196 734 1197 733 1197 735 1197 743 1198 722 1198 721 1198 732 1199 729 1199 738 1199 740 1200 741 1200 731 1200 734 1201 730 1201 727 1201 164 1202 161 1202 23 1202 177 1203 179 1203 25 1203 173 1204 56 1204 50 1204 171 1205 173 1205 50 1205 157 1206 152 1206 52 1206 57 1207 157 1207 52 1207 55 1208 62 1208 154 1208 152 1209 154 1209 63 1209 49 1210 169 1210 64 1210 169 1211 171 1211 65 1211 134 1212 133 1212 95 1212 23 1213 25 1213 129 1213 126 1214 164 1214 129 1214 131 1215 25 1215 125 1215 22 1216 161 1216 24 1216 130 1217 132 1217 129 1217 127 1218 126 1218 132 1218 128 1219 89 1219 140 1219 135 1220 95 1220 104 1220 136 1221 108 1221 89 1221 137 1222 90 1222 111 1222 138 1223 111 1223 108 1223 141 1224 94 1224 142 1224 144 1225 107 1225 94 1225 147 1226 104 1226 107 1226 146 1227 145 1227 90 1227 56 1228 177 1228 161 1228 310 1229 359 1229 315 1229 285 1230 323 1230 324 1230 321 1231 208 1231 319 1231 209 1232 208 1232 315 1232 319 1233 322 1233 320 1233 319 1234 316 1234 322 1234 330 1235 279 1235 318 1235 294 1236 285 1236 325 1236 279 1237 298 1237 326 1237 301 1238 280 1238 327 1238 298 1239 301 1239 328 1239 332 1240 284 1240 331 1240 284 1241 297 1241 334 1241 297 1242 294 1242 337 1242 280 1243 335 1243 336 1243 341 1244 343 1244 340 1244 238 1245 251 1245 342 1245 251 1246 248 1246 343 1246 346 1247 238 1247 344 1247 202 1248 346 1248 345 1248 205 1249 202 1249 347 1249 316 1250 205 1250 350 1250 353 1251 348 1251 252 1251 354 1252 353 1252 255 1252 355 1253 354 1253 234 1253 234 1254 357 1254 356 1254 358 1255 356 1255 206 1255 359 1256 358 1256 209 1256 202 1257 206 1257 242 1257 389 1258 539 1258 495 1258 504 1259 503 1259 465 1259 499 1260 501 1260 384 1260 496 1261 385 1261 501 1261 495 1262 494 1262 499 1262 501 1263 499 1263 502 1263 498 1264 459 1264 510 1264 505 1265 465 1265 474 1265 506 1266 478 1266 459 1266 507 1267 460 1267 481 1267 508 1268 481 1268 478 1268 511 1269 464 1269 512 1269 514 1270 477 1270 464 1270 517 1271 474 1271 477 1271 516 1272 515 1272 460 1272 428 1273 523 1273 520 1273 522 1274 431 1274 418 1274 523 1275 428 1275 431 1275 524 1276 418 1276 526 1276 525 1277 526 1277 382 1277 527 1278 382 1278 385 1278 530 1279 385 1279 496 1279 529 1280 528 1280 432 1280 432 1281 533 1281 435 1281 435 1282 534 1282 414 1282 536 1283 537 1283 414 1283 537 1284 536 1284 386 1284 386 1285 538 1285 389 1285 422 1286 386 1286 382 1286 562 1287 702 1287 563 1287 565 1288 719 1288 717 1288 591 1289 590 1289 712 1289 605 1290 694 1290 593 1290 593 1291 698 1291 598 1291 604 1292 603 1292 605 1292 606 1293 710 1293 589 1293 607 1294 712 1294 710 1294 637 1295 675 1295 676 1295 563 1296 673 1296 671 1296 563 1297 705 1297 673 1297 671 1298 667 1298 719 1298 717 1299 702 1299 564 1299 672 1300 666 1300 671 1300 672 1301 671 1301 674 1301 682 1302 631 1302 670 1302 646 1303 637 1303 677 1303 631 1304 650 1304 678 1304 653 1305 632 1305 679 1305 650 1306 653 1306 680 1306 684 1307 636 1307 683 1307 636 1308 649 1308 686 1308 649 1309 646 1309 689 1309 632 1310 687 1310 688 1310 693 1311 696 1311 692 1311 694 1312 603 1312 696 1312 713 1313 711 1313 590 1313 590 1314 715 1314 714 1314 702 1315 717 1315 597 1315</p>
+ </polylist>
+ </mesh>
+ <extra><technique profile="MAYA"><double_sided>1</double_sided></technique></extra>
+ </geometry>
+ </library_geometries>
+ <library_controllers/>
+ <library_visual_scenes>
+ <visual_scene id="Scene" name="Scene">
+ <node id="node_005" name="node_005" type="NODE">
+ <matrix sid="transform">1 0 0 0 0 1 0 0 0 0 1 0.01 0 0 0 1</matrix>
+ <instance_geometry url="#shape0_006-mesh">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="Material-material" target="#Material-material"/>
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#Scene"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/HyQ/meshes/trunk/trunk_convex.dae b/ct_models/urdf/HyQ/meshes/trunk/trunk_convex.dae
new file mode 100644
index 0000000..c8fb01e
--- /dev/null
+++ b/ct_models/urdf/HyQ/meshes/trunk/trunk_convex.dae
@@ -0,0 +1,63 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>VCGLab</author>
+ <authoring_tool>VCGLib | MeshLab</authoring_tool>
+ </contributor>
+ <up_axis>Y_UP</up_axis>
+ <created>Mon Feb 18 15:34:11 2013</created>
+ <modified>Mon Feb 18 15:34:11 2013</modified>
+ </asset>
+ <library_images/>
+ <library_materials/>
+ <library_effects/>
+ <library_geometries>
+ <geometry id="shape0-lib" name="shape0">
+ <mesh>
+ <source id="shape0-lib-positions" name="position">
+ <float_array id="shape0-lib-positions-array" count="2202">-10 -88.2398 -86.9388 -10 -0.248001 -90 -10 -106.318 -56.001 -142.349 -106.318 -56.001 -142.349 -0.248001 -87 -142.349 -76.7748 -90 -142.349 -96.6528 -78.57 -142.349 -88.2398 -86.9388 -10 -96.6528 -78.57 -142.349 -0.248001 -90 -10 -108.911 -57.5101 -142.349 -108.911 -57.5101 -10 -0.248001 -87 -10 -76.7748 -90 -10 -0.248001 -87 -10 76.7748 -90 -10 106.318 -56.001 -142.349 106.318 -56.001 -142.349 96.6528 -78.57 -142.349 -0.248001 -90 -142.349 76.7748 -90 -10 96.6528 -78.57 -10 88.2398 -86.9388 -142.349 88.2398 -86.9388 -10 -0.248001 -90 -142.349 108.911 -57.5101 -10 108.911 -57.5101 -142.349 -0.248001 -87 -500 88.2398 -86.9388 -500 0.248001 -90 -500 158.943 28.4495 -407.047 96.6528 -78.57 -407.047 158.944 28.4495 -407.047 48.4024 -90 -483.438 179.77 28.4495 -490 124.989 28.4495 -476.184 0.248001 -90 -490 0.248001 -63 -407.047 158.947 8.57662 -500 0.248001 -63 -500 125.017 28.4495 -407.047 76.7748 -90 -407.047 88.2398 -86.9388 -500 76.7748 -90 -407.047 155.473 28.4495 -500 96.6528 -78.57 -407.047 48.4024 -87 -477.562 179.77 28.4495 -484.53 164.907 2.91277 -486.2 166.934 6.39611 -407.047 160.02 10.4204 -474.8 166.934 6.39611 -476.184 0.248001 -87 -476.47 164.907 2.91277 -480.5 164.067 1.46981 -407.047 -96.6528 -78.57 -407.047 -48.4024 -90 -407.047 -157.103 31.25 -500 -160.573 31.25 -500 0.248001 -63 -500 -76.7748 -90 -500 0.248001 -90 -475.315 -181.401 31.25 -500 -125.749 31.25 -407.047 -160.02 10.4204 -476.184 0.248001 -87 -500 -96.6528 -78.57 -407.047 -76.7748 -90 -486.2 -166.934 6.39611 -485.685 -181.401 31.25 -490 0.248001 -63 -407.047 -160.574 31.25 -500 -88.2398 -86.9388 -407.047 -88.2398 -86.9388 -476.184 0.248001 -90 -490 -125.749 31.25 -407.047 -48.4024 -87 -476.47 -164.907 2.91277 -441.5 -172.144 31.25 -484.53 -164.907 2.91277 -480.5 -164.067 1.46981 -142.349 -0.248001 -87 -274.698 -0.248001 -87 -274.698 -0.248001 -90 -142.349 146.389 12.843 -274.698 160.02 10.4204 -142.349 88.2398 -86.9388 -274.698 88.2398 -86.9388 -142.349 155.035 1.85542 -274.698 146.389 12.843 -142.349 160.02 10.4204 -162.8 162.613 8.91132 -142.349 76.7748 -90 -142.349 -0.248001 -90 -274.698 76.7748 -90 -173.254 163.762 10.8855 -274.698 96.6528 -78.57 -142.349 96.6528 -78.57 -163.746 163.762 10.8855 -274.698 158.131 11.52 -142.349 158.131 11.52 -168.5 159.746 3.98503 -142.349 -88.2398 -86.9388 -142.349 -0.248001 -90 -142.349 -157.102 31.25 -274.698 -160.573 31.25 -274.698 -0.248001 -87 -274.698 -76.7748 -90 -164.766 -175.615 31.25 -274.698 -155.006 1.80535 -142.349 -160.02 10.4204 -162.8 -162.613 8.91132 -274.698 -96.6528 -78.57 -234.5 -172.144 31.25 -274.698 -160.02 10.4204 -274.698 -88.2398 -86.9388 -274.698 -0.248001 -90 -142.349 -160.574 31.25 -142.349 -76.7748 -90 -142.349 -0.248001 -87 -168.5 -143.568 23.9012 -274.698 -157.102 31.25 -142.349 -96.6528 -78.57 -168.5 -159.746 3.98503 -158.5 -172.144 31.25 -172.234 -175.615 31.25 -142.349 138.825 -0.152382 -10 138.825 -0.152382 -142.349 125.5 90 -10 125.5 90 -10 174 90 -142.349 174 90 -142.349 180.142 44.9909 -96.6 241.124 4.57222 -96.6 239.054 -14.4767 -96.6 226.184 -28.6689 -83.5 237.571 -17.3619 -142.349 154.893 1.83413 -17.5 223.25 -23.435 -17.5 232.385 -14.3438 -16.5 211.529 -25.756 -93.6 231.604 21.1956 -10 188.902 34.1981 -17.5 202.146 -25.2298 -83.5 221.043 -31.0191 -17.5 235.553 -5.11923 -83.5 199.604 -30.6833 -10 168.701 -0.508457 -17.5 230.666 13.381 -17.5 234.95 4.61689 -142.349 141.417 -1.66151 -96.6 207.431 -32.5862 -83.5 241.283 3.7549 -19.5 217.164 -25.9386 -17.5 210.691 -26.7676 -93.5 221.043 -31.0191 -16.5 234.779 -1.89432 -93.5 199.604 -30.6833 -142.349 125.5 90 -142.349 146.389 12.843 -142.349 180.116 44.9462 -142.349 174 90 -274.698 174 90 -245.8 58.6127 142.098 -274.698 180.126 44.9634 -274.698 158.131 11.52 -163.746 163.762 10.8855 -274.698 30.3082 112.98 -142.349 158.131 11.52 -274.698 19.8279 110.172 -274.698 24.6918 92.0197 -274.698 146.389 12.843 -248.779 27.6066 106.607 -240.604 38.46 117.703 -257.5 179 81.7499 -274.698 17.0197 99.6918 -269.8 17.0197 99.6918 -250.996 60.7337 139.977 -175 179 81.7499 -168.5 180.572 39.7655 -274.698 162.448 95 -245.8 36.3388 119.824 -269.8 19.8279 110.172 -262.8 19.7726 100.43 -240.604 60.7337 139.977 -269.8 24.6918 92.0197 -142.349 125.5 87 -162.8 177.704 34.8392 -274.698 175.111 36.3483 -142.349 175.111 36.3483 -10 -138.825 -0.152382 -142.349 -125.5 90 -10 -125.5 90 -142.349 -138.825 -0.152382 -10 -174 90 -142.349 -174 90 -93.6 -235.923 16.3645 -17.5 -232.473 10.6559 -142.349 -180.045 45.0472 -96.6 -241.779 -1.87678 -142.349 -154.99 1.77783 -17.5 -235.778 -1.91038 -93.5 -237.571 -17.3619 -96.6 -235.794 -20.0764 -96.6 -220.253 -31.2843 -10 -188.902 34.1981 -83.5 -241.283 3.7549 -10 -168.701 -0.508457 -17.5 -207.429 -26.5423 -16.5 -231.928 -13.1146 -96.6 -235.923 16.3645 -142.349 -141.417 -1.66151 -93.5 -199.604 -30.6833 -96.6 -201.097 -31.217 -83.5 -221.043 -31.0191 -17.5 -217.165 -25.9383 -17.5 -225.929 -21.6543 -17.5 -232.385 -14.3438 -93.5 -241.283 3.7549 -16.5 -222.742 -22.5734 -83.5 -199.604 -30.6833 -16.5 -232.008 9.42728 -274.698 -7.075 93.1036 -274.698 -160.573 31.25 -274.698 -95.3082 112.98 -274.698 -174 90 -142.349 -125.5 90 -142.349 -174 90 -142.349 -157.102 31.25 -274.698 -180.114 44.9431 -142.349 -180.097 44.9133 -240.604 -9.49984 121 -274.698 -7.075 111.896 -164.766 -175.615 31.25 -168.5 -180.572 39.7655 -274.698 -1.65 102.5 -240.604 -55.5004 152.5 -245.8 -6.5 152.5 -250.996 -55.5004 152.5 -245.8 -123.613 142.098 -142.349 -175.111 36.3483 -248.779 -9.67157 105.479 -274.698 -175.111 36.3483 -250.996 -9.49959 152.5 -175 -179 81.7499 -257.5 -179 81.7499 -250.996 -125.734 139.977 -240.604 -9.49959 152.5 -262.8 -8.49967 95.5721 -234.5 -172.144 31.25 -245.8 -6.5 121 -269.8 -1.65 102.5 -274.698 -157.102 31.25 -269.8 -7.075 93.1036 122.349 0.248001 110 122.349 -25 209.033 122.349 -124 173.83 122.349 -173.138 60.5 -10 -125.5 90 -10 -173.138 60.5 -10 -174 90 84 0.248001 162 107 0.248001 201.837 122.349 0.248001 205.95 122.349 -174 90 122.349 -101 194.514 109.427 -101 190.314 106.374 -55 204.927 110 0.248001 110 -10 -151 67 122.349 -55 209.033 72.5 -179 74.2501 -10 -179 74.2501 90.1628 0.248001 185 64 -25 165 90.1628 0.248001 139 72.5 -179 81.7499 -10 -179 81.7499 -10 -125.5 87 106.374 -25 204.927 -6.75 -160.5 94.5 -10 -170.138 60.5 122.349 -170.138 60.5 122.349 -174 67 76.25 -179 78 64 -25 159 122.349 172.939 59 122.349 35.1366 205.95 122.349 0.248001 110 122.349 0.248001 205.95 84 0.248001 162 -10 174 90 -10 169.939 59 -10 125.5 90 90.1628 0.248001 185 122.349 174 90 110 0.248001 110 -10 179 74.2501 107 35.1366 201.837 107 0.248001 201.837 122.349 114.7 168.552 115.5 143.896 165 -10 151 67 90.1628 0.248001 139 122.349 60.6317 199.265 113 138.7 170.9 81 138.7 170.9 81 146.408 166.45 113 146.408 166.45 -10 172.939 59 -10 179 81.7499 76.25 179 78 -10 125.5 87 72.5 179 81.7499 -6.25 160.5 95 72.5 179 74.2501 122.349 169.939 59 122.349 174 67 387.047 157.546 26.049 470 -0.248001 26.049 489.5 169.117 26.049 500 -0.248001 -90 387.047 -0.248001 -90 387.047 118.1 -67 387.047 113.6 26.049 387.047 76.7748 -90 387.047 -0.248001 -61 500 130.934 26.049 500 88.2398 -86.9388 389.5 169.116 26.049 470 118.1 -67 480.5 169.802 11.3224 500 157.546 26.049 500 -0.248001 -68 486.2 166.934 6.39611 464 -0.248001 26.049 387.047 88.2398 -86.9388 500 76.7748 -90 387.047 160.343 10.9746 500 96.6528 -78.57 484.53 168.962 9.87944 476.47 164.907 2.91277 476.47 168.962 9.87944 387.047 -160.573 31.25 485.685 -181.401 31.25 470 -0.248001 31.25 387.047 -0.248001 -90 387.047 -76.7748 -90 500 -0.248001 -90 387.047 -85.1997 31.25 500 -133.961 31.25 500 -88.2398 -86.9388 387.047 -0.248001 -61 387.047 -154.99 1.77783 389.5 -172.144 31.25 387.047 -96.6528 -78.57 500 -160.573 31.25 500 -0.248001 -68 480.5 -164.067 1.46981 464 -0.248001 31.25 387.047 -88.2398 -86.9388 500 -76.7748 -90 486.2 -166.934 6.39611 500 -96.6528 -78.57 475.315 -181.401 31.25 387.047 -160.343 10.9746 474.8 -166.934 6.39611 484.53 -164.907 2.91277 -407.047 155.473 28.4495 -407.047 115.072 134.693 -407.047 0.248001 136.301 -490 0.248001 52 -500 125.017 28.4495 -407.047 179 79.703 -407.047 0.248001 87 -500 0.248001 136.301 -534.2 51.2639 146.899 -407.047 180.136 44.9806 -500 115.072 134.693 -500 174 90 -500 158.943 28.4495 -539.396 40.5687 115.933 -500 0.248001 52 -539.396 58.6366 141.737 -480.5 184.893 37.2502 -407.047 174 90 -407.047 175.111 36.3483 -500 172.376 54.756 -539.396 35.6536 119.375 -539.396 53.721 145.179 -470 179 81.7499 -486.129 182.969 35.5352 -407.047 109.072 136.301 -407.047 158.944 28.4495 -531.221 26.8919 106.563 -532.049 28.7336 104.262 -477.562 179.77 28.4495 -484.53 179.998 28.8406 -486.2 182.026 32.324 -500 174 67 -407.047 -157.103 31.25 -407.047 0.248001 136.301 -407.047 -174 90 -407.047 0.248001 87 -490 0.248001 52 -407.047 -112.072 136.301 -407.047 -180.132 44.973 -500 -125.749 31.25 -485.685 -181.401 31.25 -539.396 -107.703 113.46 -532.049 -12.5 104.651 -500 -160.573 31.25 -539.396 -129.977 135.734 -500 0.248001 52 -539.396 -55.5004 152.5 -539.396 -9.49985 121 -539.396 -9.49959 152.5 -534.2 -6.5 152.5 -407.047 -175.111 36.3483 -500 0.248001 136.301 -480.5 -184.893 37.2502 -407.047 -179 79.703 -500 -172.376 54.756 -500 -174 90 -470 -179 81.7499 -539.396 -125.734 139.977 -534.2 -123.613 142.098 -407.047 -118.072 134.693 -488 -174 93 -484.53 -184.053 35.8073 -534.2 -6.5 121 -529.004 -55.5004 152.5 254.698 172.939 59 246.5 0.248001 59 122.349 172.939 59 122.349 0.248001 110 153 0.248001 201.837 122.349 0.248001 205.95 254.698 0.248001 90 254.698 174 90 122.349 174 90 254.698 28.4456 113.309 230.996 53.721 145.179 122.349 60.6317 199.265 254.698 0.248001 63 146.927 60.6317 197.148 130 119.7 170 155 179 74.2501 122.349 116.917 166.417 241.25 179 78 153 35.1366 201.837 130 35.1366 208 122.349 35.1366 205.95 130 0.248001 208 130 60.6317 201.012 155 179 81.7499 254.698 18.6122 108.723 251 0.248001 59 127 122.2 167.196 237.5 179 81.7499 237.5 179 74.2501 123.072 119.7 166 122.349 169.939 59 122.349 174 67 122.349 88.2398 -86.9388 122.349 172.939 59 122.349 0.248001 -87 -10 88.2398 -86.9388 -10 0.248001 -90 -10 169.939 59 -10 188.902 34.1981 83.5 221.043 -31.0191 17.5 225.929 -21.6543 93.6 235.794 -20.0764 122.349 180.142 44.9909 96.6 220.253 -31.2843 122.349 76.7748 -90 122.349 0.248001 -90 96.6 235.794 -20.0764 -10 188.785 39.9605 96.6 241.779 -1.87678 -10 76.7748 -90 -10 168.701 -0.508457 96.6 235.923 16.3645 -10 0.248001 -87 16.5 231.928 -13.1146 -10 172.939 59 17.5 232.473 10.6559 16.5 234.779 -1.89487 19.5 235.553 -5.11771 122.349 169.939 59 83.5 241.283 3.7549 93.6 241.779 -1.87678 93.6 235.923 16.3645 93.5 230.402 22.2306 83.5 237.571 -17.3619 -10 0.248001 -87 -10 -76.7748 -90 -10 -173.138 60.5 122.349 -88.2398 -86.9388 122.349 0.248001 -90 122.349 -170.138 60.5 -10 -168.701 -0.508457 -10 -188.902 34.1981 17.5 -232.385 -14.3438 122.349 -180.142 44.9909 -10 0.248001 -90 96.6 -239.054 -14.4767 96.6 -226.184 -28.6689 93.5 -241.283 3.7549 93.6 -239.054 -14.4767 96.6 -241.124 4.57222 122.349 -76.7748 -90 -10 -88.2398 -86.9388 17.5 -223.25 -23.435 122.349 0.248001 -87 -10 -188.785 39.9605 17.5 -234.95 4.61689 17.5 -230.666 13.381 -10 -170.138 60.5 17.5 -235.553 -5.11923 122.349 -173.138 60.5 96.6 -231.604 21.1956 83.5 -237.571 -17.3619 122.349 -154.99 1.77783 83.5 -230.402 22.2306 83.5 -221.043 -31.0191 83.5 -241.283 3.7549 122.349 0.248001 110 122.349 -173.138 60.5 122.349 -101 194.514 254.698 -173.138 60.5 254.698 0.248001 63 254.698 -174 90 130 0.248001 208 254.698 -7.075 111.896 122.349 -174 90 122.349 0.248001 205.95 122.349 -55 209.033 254.698 -95.3082 112.98 230.996 -125.734 139.977 230.996 -9.49959 152.5 153 0.248001 201.837 150.573 -101 190.314 153.626 -55 204.927 130 -124 177 237.5 -179 74.2501 246.5 0.248001 60.5 122.349 -124 173.83 151.25 -179 78 230.996 -55.5004 152.5 254.698 0.248001 90 130 -101 197 130 -55 211 130 -25 211 237.5 -179 81.7499 254.698 -1.65 102.5 153.626 -25 204.927 122.349 -25 209.033 251 0.248001 60.5 388.109 -0.248001 136.301 475 -0.248001 136.301 514.2 58.6127 142.098 464 -0.248001 26.049 389.5 169.116 26.049 500 157.546 26.049 387.047 -0.248001 58.5 500 -0.248001 62 387.047 113.6 26.049 387.047 118.072 134.693 387.047 180.142 44.9909 500 -0.248001 90 480.5 179.158 27.3977 480.5 184.893 37.2502 387.047 174 90 388.25 178.5 78 519.396 64.9769 135.734 519.396 42.7029 113.46 500 172.376 54.756 500 174 90 500 130.934 26.049 470 -0.248001 26.049 519.396 38.46 117.703 486.2 182.026 32.324 519.396 60.7337 139.977 475 118.072 134.693 470 179 81.7499 463 174 93 387.047 157.546 26.049 392.5 179 81.7499 387.047 112.072 136.301 387.047 174.789 35.7941 470 -0.248001 31.25 500 -133.961 31.25 389.5 -172.144 31.25 387.047 -0.338052 136.301 387.047 -109.072 136.301 514.2 -6.5 152.5 387.047 -0.248001 58.5 387.047 -174 90 500 -0.248001 62 387.047 -85.1997 31.25 519.396 -9.49984 121 500 -160.573 31.25 387.047 -180.142 44.9909 519.396 -107.703 113.46 519.396 -129.977 135.734 514.2 -123.613 142.098 500 -174 90 519.396 -55.5004 152.5 519.396 -9.49959 152.5 485.685 -181.401 31.25 392.5 -179 81.7499 484.53 -184.053 35.8073 475 -0.248001 136.301 500 -172.376 54.756 470 -179 81.7499 519.396 -125.734 139.977 387.047 -115.072 134.693 387.047 -160.573 31.25 464 -0.248001 31.25 388.75 -179 78 387.047 -174.789 35.7941 500 -0.248001 90 122.349 0.248001 -90 122.349 -76.7748 -90 122.349 -173.138 60.5 251 0.248001 60.5 254.698 0.248001 -90 254.698 -88.2398 -86.9388 254.698 -180.142 44.9909 122.349 -154.99 1.77783 254.698 -173.138 60.5 122.349 -180.142 44.9909 122.349 -96.6528 -78.57 254.698 -154.99 1.77783 254.698 0.248001 58.5 122.349 -88.2398 -86.9388 168.5 -180.572 39.7655 246.5 0.248001 60.5 168.5 -159.746 3.98503 254.698 -76.7748 -90 254.698 -96.6528 -78.57 122.349 0.248001 -87 122.349 -170.138 60.5 254.698 -96.8997 60.5 162.8 -162.613 8.91132 162.8 -177.704 34.8392 122.349 172.939 59 251 0.248001 59 254.698 172.939 59 254.698 0.248001 -90 122.349 0.248001 -90 122.349 88.2398 -86.9388 254.698 76.7748 -90 122.349 180.142 44.9909 254.698 180.142 44.9909 168.5 180.572 39.7655 254.698 118.1 -67 246.5 118.1 -67 122.349 154.99 1.77783 254.698 0.248001 58.5 246.5 0.248001 59 254.698 88.2398 -86.9388 122.349 76.7748 -90 122.349 96.6528 -78.57 122.349 0.248001 -87 122.349 169.939 59 164.47 160.585 5.42798 162.8 177.704 34.8392 254.698 180.142 44.9909 254.698 -76.7748 -90 254.698 -95.3082 112.98 387.047 -115.072 134.693 387.047 88.2398 -86.9388 387.047 112.072 136.301 387.047 -88.2398 -86.9388 254.698 88.2398 -86.9388 300 112.072 136.301 254.698 -180.142 44.9909 387.047 -180.142 44.9909 318.4 -220.253 -31.2843 254.698 -174 90 254.698 174 90 387.047 174 90 353 169.325 108.65 343.4 -235.41 -16.1045 387.047 -174 90 321.4 -235.923 16.3645 300 -115.072 134.693 331.5 241.283 3.7549 343.4 235.41 -16.1045 313 237.571 -17.3621 313 -237.571 -17.3621 387.047 180.142 44.9909 254.698 28.4456 113.309 254.698 118.1 -67 387.047 118.1 -67 318.4 241.124 4.57222 331.5 221.043 -31.0191 331.5 -241.283 3.7549 325 164.75 113.225 -331.5 -237.571 -17.3619 -407.047 -76.7748 -90 -274.698 -88.2398 -86.9388 -407.047 -174 90 -407.047 109.072 136.301 -274.698 174 90 -274.698 -162.358 95 -407.047 96.6528 -78.57 -274.698 76.7748 -90 -407.047 180.136 44.9806 -407.047 -112.072 136.301 -343 -174 93 -325 109.072 136.301 -325 -112.072 136.301 -312.4 -237.052 -17.0603 -407.047 174 90 -374.571 169.325 114.112 -318.4 235.923 16.3645 -274.698 30.3082 112.98 -407.047 -180.132 44.973 -318.4 -231.604 21.1956 -343.4 235.41 -16.1045 -274.698 -180.114 44.9431 -347.791 164.75 123.479 -274.698 180.126 44.9634 -407.047 76.7748 -90 -321.4 235.794 -20.0764 -274.698 -95.3082 112.98 -331.5 -241.283 3.7549 -312.4 237.052 -17.0603 -343.4 -235.41 -16.1045 -274.698 -174 90</float_array>
+ <technique_common>
+ <accessor count="734" source="#shape0-lib-positions-array" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="shape0-lib-normals" name="normal">
+ <float_array id="shape0-lib-normals-array" count="4092">1 0 0 0 0.280516 0.959849 -1 0 0 -1 0 0 0 -0.257967 -0.966154 0 -0.705242 -0.708967 -1 0 0 1 0 0 0 -0.705242 -0.708967 0 0 -1 -1 0 0 0 1 0 0 -0.864256 -0.503052 1 0 0 0 -0.503005 0.864284 -1 0 0 0 -0.864256 -0.503052 0 -0.503005 0.864284 1 0 0 0 1 0 0 0.280516 0.959849 0 -0.257967 -0.966154 0 0 -1 1 0 0 1 0 0 -1 0 0 0 -0.279313 0.9602 0 0 -1 -1 0 0 1 0 0 0 0.705242 -0.708967 1 0 0 0 0.257967 -0.966154 -1 0 0 0 0.705242 -0.708967 0 0.257967 -0.966154 0 -1 0 0 0 -1 1 0 0 0 0.864256 -0.503052 -1 0 0 0 0.503005 0.864284 1 0 0 0 0.864256 -0.503052 0 0.503005 0.864284 0 -1 0 0 -0.279313 0.9602 -1 0 0 -1 0 0 1 0 0 0 0 1 0 0 1 0 -1 0 0 0 -1 1 0 0 0 -0.591248 0.80649 -1 0 0 0 -1 0 0 0 1 -1 0 0 -0.00165299 -0.591161 0.806552 1 0 0 0 0 -1 0 0.705242 -0.708967 1 0 0 0 0.257967 -0.966154 -1 0 0 0 0.257967 -0.966154 0 0 -1 0 0 1 0.212317 -0.577768 0.788102 1 0 0 0 0.705242 -0.708967 -1 0 0 1 0 0 0.528392 -0.622499 0.577319 0.571537 -0.820576 0 0 0 1 0 0.864266 -0.503035 -0.290392 0.75998 -0.581466 -0.793606 0.525845 -0.306066 -0.756715 0.601759 -0.255475 -0.000202105 0.86427 -0.503029 1 0 0 0.282792 0.957476 0.0571695 0.11725 0.864612 -0.488567 0.11726 0.858315 -0.499545 4.18729e-05 0.864261 -0.503043 0 -1 0 0.571537 -0.820576 0 0.542907 -0.779471 0.312534 0.116488 0.80799 -0.577567 0.11564 0.833413 -0.540417 0 0.864312 -0.502956 0 0.86423 -0.503098 0.0552479 0.788091 -0.613075 0 0.764853 -0.644204 -0.066053 0.771054 -0.633334 1 0 0 -1 0 0 0 0 -1 -1 0 0 0 0 1 -1 0 0 0 0 1 1 0 0 0 1 0 -1 0 0 0 0 -1 1 0 0 -0.793606 -0.525845 -0.306066 0 0 1 -0.786576 -0.540617 -0.298382 0 -0.864253 -0.503057 0 1 0 0 0.598992 0.800755 0 0 1 1 0 0 0 -0.257967 -0.966154 0 -0.705242 -0.708967 -1 0 0 1 0 0 0 -0.705242 -0.708967 0 -0.257967 -0.966154 0 0 -1 0 1 0 0.575481 0.817815 0 0 0 1 0.220813 0.584207 0.780989 0 0.598992 0.800755 1 0 0 0.531565 0.623582 0.573223 0.575481 0.817815 0 0.546284 0.776323 0.314478 0.114713 -0.856515 -0.503212 -4.16202e-05 -0.864261 -0.503043 0.119214 -0.808778 -0.575905 0.262012 -0.957104 -0.123698 0.318252 -0.947672 -0.0251849 0 0 1 -0.290392 -0.75998 -0.581466 0 -0.864312 -0.502956 0 -0.86423 -0.503098 -0.066053 -0.771054 -0.633334 0 -0.764853 -0.644204 0.0552479 -0.788091 -0.613075 0 -1 0 0 -0.562812 0.826585 -1 0 0 1 0 0 -1 0 0 1 0 0 -1.51217e-06 -0.562811 0.826586 -1 0 0 1 0 0 0.145147 0.855127 -0.497685 0 0.257967 -0.966154 1 0 0 0 -1 0 0 0 -1 1 0 0 -1 0 0 0 0.257967 -0.966154 0 0 -1 3.96358e-10 0.111965 0.993712 -1 0 0 0 0.705242 -0.708967 0 0.705242 -0.708967 1 0 0 0 0.111965 0.993712 0.144884 0.883816 -0.444835 0 0.864317 -0.502948 -1 0 0 -4.79823e-09 0.111965 0.993712 -0.022513 0.502946 0.864024 1 0 0 0.106157 0.500231 0.85936 2.15724e-08 0.111965 0.993712 0.0978695 0.806739 -0.582747 0.0974733 0.805403 -0.584658 0 0.79453 -0.607225 -0.0291655 0.855063 -0.517702 -0.0330295 0.814143 -0.579725 -1.04056e-05 0.864293 -0.502989 1 0 0 -1 0 0 0 0 1 -1 0 0 0.145138 -0.860606 -0.488152 1 0 0 -1 0 0 0 0 1 -1 0 0 -0.276518 -0.96067 -0.0255127 0 -0.257967 -0.966154 0 -0.705242 -0.708967 -1 0 0 0 0 -1 -1 0 0 0 1 0 0 0 1 1 0 0 0 -0.257967 -0.966154 0 0 -1 1 0 0 0 1 0 0 0.611979 0.790874 1 0 0 0.0868325 0.599709 0.795493 0 0 1 1.65042e-07 0.477172 0.87881 -1 0 0 -0.0214582 0.601845 0.798325 0 -0.705242 -0.708967 1 0 0 0.144549 -0.806032 -0.573949 0 -0.79453 -0.607225 0.0996268 -0.805552 -0.584089 -0.0240531 -0.808988 -0.587333 5.34556e-05 -0.86426 -0.503045 0.480414 -0.86703 -0.132142 0.582227 -0.81274 -0.021599 0 0 1 -0.0292782 -0.863909 -0.502797 -0.0281053 -0.862244 -0.505713 0 -0.864264 -0.503039 0 0 1 -0.0503101 -0.902328 -0.428103 0 -0.989253 -0.146217 1 0 0 0 0 1 0 -0.989253 -0.146217 0 0 1 -1 0 0 -1 0 0 -0.768555 0.633909 0.086504 -0.817722 0.572244 -0.0621841 -0.0639597 0.739254 -0.670382 -0.870401 0.424958 -0.24862 -0.848331 0.392213 -0.355673 -1 0 0 0.988792 0.105316 -0.105823 0.0875036 0.7027 -0.706085 0.0739803 0.658535 -0.748905 -0.244519 0.821744 0.51473 0 0.766756 0.641939 1 0 0 0.827955 -0.118973 -0.54803 0.0753078 0.566908 -0.820332 0.0668281 0.977696 -0.199112 0.0888162 0.942042 -0.323526 0.0905729 -0.357406 -0.929547 0.967164 -0.00302892 -0.254135 1 0 0 0.91717 0.358013 0.175001 0.0703776 0.80529 0.588689 0 -0.503155 -0.864196 0.00143327 -0.447491 -0.894287 -0.691302 0.147747 -0.707299 -0.719715 0.174319 -0.672029 -1 0 0 0.0202772 0.869168 0.494101 0.0631343 0.856671 0.511985 0.080212 0.895517 0.437739 -0.0188041 0.993972 -0.108012 0.063162 0.98415 -0.165707 0.0945385 0.993617 0.0615387 0.0952444 0.351779 -0.931225 0.0713986 0.0459974 -0.996387 0.0874175 0.153074 -0.984341 0.606507 0.203921 -0.768482 0.39461 0.235666 -0.888113 0.0878037 -0.176435 -0.980388 0.0774652 -0.111224 -0.990772 0.752912 -0.116566 -0.647716 -0.373797 0.189653 -0.907914 0 0.415764 -0.909473 0 0.114371 -0.993438 0.993737 0.0965731 -0.0562108 0.989874 0.101668 -0.0990619 0.991064 0.0955367 -0.0930877 0.871779 0.463338 -0.159124 0.497269 0.865937 0.053631 0.94179 0.307211 0.136574 0.9832 0.176352 0.0470941 0 -0.236239 -0.971695 0 -0.446331 -0.894868 -0.193067 -0.303328 -0.933122 1 0 0 1 0 0 0 0.411505 0.911407 -1 0 0 2.64651e-09 -0.111965 -0.993712 -1 0 0 1 0 0 -2.15724e-08 -0.111965 -0.993712 -1 0 0 -1 0 0 -3.96428e-10 -0.111965 -0.993712 -1.04004e-06 -0.545345 -0.838212 -1 0 0 0.680505 -0.707501 0.190669 0 0.855201 0.518297 -0.218047 0.967033 0.131538 0 -0.965925 0.258823 -1 0 0 0 -0.707107 -0.707107 -0.609094 -0.205256 0.766077 -0.468436 -0.326688 0.820879 0.116946 0.984112 0.133591 0 0.855201 0.518297 -0.00264006 0.99949 0.031827 0 0.9993 0.0374164 0.00971504 0.999195 0.0389166 -1 0 0 -0.793006 0.0821376 0.603651 -0.0682918 0.396288 0.915583 -0.228717 0.348622 0.908929 0.482336 -0.776949 0.4046 0.499972 -0.612385 0.612383 0 -0.635536 0.772071 0.19808 -0.693098 0.693094 0.376041 -0.809837 0.450286 0 -0.965925 0.258823 0.374292 -0.885915 0.273972 0.332514 -0.910962 0.244095 0.35026 -0.734912 -0.580709 0.565698 -0.759811 -0.320428 0.499954 -0.612395 0.612387 0.636735 -0.545241 0.545234 0.453368 0 0.891323 0.330318 0.126189 0.935396 0.229603 -0.688216 -0.688216 0 -0.707107 -0.707107 0 -0.545345 -0.838211 1 0 0 0.676973 -0.736008 0 0.641115 -0.738698 -0.208077 9.78599e-05 0.86426 -0.503045 0.0977631 0.905096 -0.413815 -0.0282422 0.863891 -0.502886 -0.0280299 0.861901 -0.506301 -1 0 0 -0.0450726 0.824589 -0.563933 0.145145 0.852606 -0.501993 0.145147 0.855084 -0.497759 1 0 0 0.2278 0.803726 -0.549665 0 0.989253 -0.146217 0 0.989253 -0.146217 1 0 0 0 0 1 0 -0.765351 0.643614 0 0 1 -1 0 0 0.0805284 -0.806018 0.586387 -1 0 0 -0.768394 -0.634268 0.0852966 -1 0 0 0.0731834 -0.966027 -0.247863 -0.817719 -0.3367 -0.466872 -0.848338 -0.502957 -0.165399 -0.8704 -0.426069 -0.246717 -0.261555 -0.916883 -0.30152 1 0 0 0.07532 -0.993293 -0.087721 0.101965 -0.96207 0.253029 0.0735518 -0.895247 0.439458 0.959576 0.00335425 -0.281431 1 0 0 0.994368 -0.0915952 -0.0533133 0 -0.920307 0.391198 0 -0.765351 0.643614 -0.623154 -0.744667 0.239061 -0.0440134 0.416065 -0.908269 -0.539918 0.00295719 -0.841712 -0.724449 -0.169321 -0.668209 -1 0 0 0 0.503155 -0.864196 0.0204517 0.00351254 -0.999785 0.0945398 -0.437191 -0.894386 0.080213 -0.0617193 -0.994865 0.0631549 -0.630173 -0.773882 -0.0188514 -0.584832 -0.810935 0.0780718 -0.79092 -0.606919 0.0800193 -0.747152 -0.659819 0.60734 -0.766416 -0.20915 0.0760635 -0.961928 -0.262504 0.756351 -0.490334 -0.43302 0 -0.996144 0.087734 0 -0.920307 0.391198 -0.373749 -0.883137 0.283514 0.949096 -0.0195037 -0.314383 0.963434 -0.00651091 -0.267867 0.99287 -0.085513 -0.0830466 0.854633 -0.372485 -0.361742 0.497733 -0.380895 -0.779218 0.0644572 0.0156286 -0.997798 0.038921 0.0156493 -0.99912 0 0.446331 -0.894868 0.00143327 0.447491 -0.894287 0 0.336608 -0.941645 0.0997193 0.347719 -0.932281 0.967242 -0.253853 -0.000900933 0.988866 -0.148808 -0.000528123 0.606203 -0.769153 0.202291 0.721875 -0.587917 0.365033 0.983426 -0.175172 0.0467791 -1 0 0 -1 0 0 1 0 0 -1 0 0 1 0 0 0.664937 0.657774 -0.353825 -1 0 0 0.107416 -0.879014 -0.464539 0 0 -1 -1 0 0 0 0 1 0.376964 -0.167866 0.910889 0 -0.150967 0.988539 0.536717 0 0.843762 1 0 0 0.132683 -0.856595 -0.498639 0.219479 -0.265756 -0.938724 0.663082 0.658185 -0.356531 -1 0 0 -0.0282422 -0.863891 -0.502886 -0.0276798 -0.858598 -0.511902 -0.46844 0.811449 0.34945 -0.609092 0.686838 0.396562 -0.86345 0.00619682 0.504396 -0.857589 0 0.514336 0 0 1 0.0104719 -0.999183 0.0390333 0.117083 -0.984165 0.133083 0 -0.855201 0.518297 -0.218198 -0.967041 0.131227 0 -0.855201 0.518297 -0.00277049 -0.999498 0.0315509 0 -0.9993 0.0374164 -0.313555 -0.166684 0.934826 -0.802852 -0.104651 0.586921 -0.823795 -0.158908 0.54416 0.00528332 -0.713539 0.700596 0 -0.719313 0.694686 0 0 1 0.536717 0 0.843762 0.763058 0.64633 -5.12679e-06 0.49996 0.866049 -6.86963e-06 0.476287 0.644814 -0.597801 0 0 -1 -0.035631 -0.715712 -0.697486 -0.0948261 -0.329441 -0.939402 0.482348 0.835472 -0.2633 0.499991 0.866031 0 0 0.995328 0.0965469 0.198079 0.980186 0 0.376049 0.891035 -0.254251 0.374294 0.820162 -0.432711 0 0.866026 -0.499999 0 0 -1 -1 0 0 1.31834e-07 0.381159 -0.92451 0 0.866026 -0.499999 0.332516 0.816747 -0.471548 0 0.381159 -0.92451 0.371427 0.605663 -0.703715 1 0 0 1 0 0 -1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 -0.213334 -0.653273 0.726446 -0.241203 -0.625283 0.742188 1 0 0 -0.294146 -0.307048 0.905096 -0.504385 -0.291659 0.812731 0 1 0 -1 0 0 1 0 0 -0.248954 0 0.968515 -0.238077 -0.292354 0.926201 0 -0.919889 -0.39218 -1 0 0 0 -0.919889 -0.39218 -0.696801 0.170076 0.696809 0 1 0 -0.755769 0.622739 0.202507 0 1 0 0 -1 0 0.00136594 -0.858837 0.512248 -0.00520547 -0.855189 0.51829 0 -0.858512 0.512793 -1 0 0 0 -1 0 -0.616272 0.665207 -0.421555 -0.726421 0.65911 -0.194643 -0.444264 0.552893 -0.704939 -1 0 0 -0.805257 0.592926 0 -0.681954 0.105485 0.723749 -0.68578 0 0.727809 -0.248954 0 0.968515 -0.24723 0.117463 0.961811 -0.256838 0.123676 0.958508 -0.64813 -0.0957957 0.755481 -0.691282 -0.0149307 0.72243 -0.725635 0.0210457 0.687758 -0.810679 0 0.585491 -1 0 0 -0.0658969 0.320896 -0.944819 0 0.278982 -0.960296 0 0 -1 1 0 0 0 0 -1 0 0.278982 -0.960296 1 0 0 0.080051 -0.988137 -0.131063 0.0869029 -0.992419 -0.0869052 0.10783 -0.994169 0 0.0854291 -0.992675 0.0854314 0 -1 0 -0.783864 0.620932 0 -0.777575 0.624581 -0.0726359 -0.805257 0.592926 0 1 0 0 1 0 0 0 -1 0 -1 0 0 0 -1 0 -0.836956 -0.499211 0.224261 1 0 0 0 -1 0 0 -0.287828 -0.957682 -1 0 0 -0.258825 0 0.965924 -0.706803 -0.0291279 0.706811 0 -1 0 -0.258825 0 0.965924 1 0 0 0.95141 0.245762 0.185528 -1 0 0 -0.156777 -0.384304 -0.909798 0 -1 0 0.75215 0.302749 0.585332 1 0 0 0.855821 0.25549 0.449772 0 0.499981 0.866036 0 0.341499 0.939882 -0.181672 0.249391 0.951209 -0.25259 0.218181 0.942653 -0.499101 0.433256 0.750459 0 0.499981 0.866036 0.708757 0.352713 0.610948 0.757157 0.579387 0.301702 0 0 -1 -1 0 0 0 0.929293 -0.369343 0 0.93329 0.359123 -0.173453 0.842238 0.510441 -1 0 0 0 1 0 -0.615193 -0.666671 -0.420817 -0.799813 -0.600249 0 -0.725172 -0.660583 -0.194308 -1 0 0 -0.442427 -0.553454 -0.705654 0.03732 0.938491 0.34328 0 0.93329 0.359123 0.0854291 0.992675 0.0854314 0 1 0 -0.645607 0.0652121 0.760881 -0.637516 0.105568 0.76317 -0.704996 -0.0257139 0.708745 -0.686212 0 0.727402 -0.8 0 0.6 0 0.929293 -0.369343 0 1 0 0 -0.287828 -0.957682 0 0 -1 1 0 0 0.0800513 0.988137 -0.131062 0.0869029 0.992419 -0.0869052 1 0 0 0.10783 0.994169 0 0 0 1 0 -1 0 -1 0 0 -1 0 0 0 0 1 -1 0 0 0 0 -1 0 -1 0 -1 0 0 1 0 0 0 0 1 0 0 1 0 0.555317 -0.831639 -4.87754e-06 0.99892 0.0464701 0 0 1 1 0 0 0 -1 0 1 0 0 0.930868 -0.21288 0.296931 0.726308 0.65908 -0.195165 0 0 1 -0.668397 -0.451788 0.590876 0 -1 0 0 0.555317 -0.831639 0 0.257967 -0.966154 -1 0 0 1 0 0 0 0 -1 0 0.257967 -0.966154 -1 0 0 -0.977533 0.207247 0.0384469 -0.212656 0.85915 -0.465445 0.224848 0.687183 -0.690813 0.318921 0.755108 -0.572802 1 0 0 0.793606 0.525845 -0.306066 0.181223 0.981284 -0.0651059 0.578246 0.79453 -0.185348 -2.50916e-05 0.864199 -0.50315 5.83456e-05 0.864241 -0.503078 0 0.83096 -0.556332 0.0269025 0.829506 -0.557849 -0.065221 0.930789 -0.359691 -2.35226e-05 0.864258 -0.503049 -0.087161 0.874483 -0.47716 -0.0589849 0.862753 -0.502173 0 0 1 -1 0 0 0 1 0 0 0 -1 0 0 1 -1 0 0 1 0 0 0 0 1 0 1 0 -1 0 0 -1 0 0 0 0 1 -1 0 0 1 0 0 0 0 1 0 1 0 0.935887 0.209976 0.282888 1 0 0 -0.0802737 -0.806592 -0.585633 0 0 1 0 1 0 -0.63039 0.571035 0.525858 0 -0.257967 -0.966154 0 -0.705242 -0.708967 -1 0 0 0 0 -1 1 0 0 0 -0.257967 -0.966154 6.70924e-05 -0.864254 -0.503056 0.786576 -0.540617 -0.298382 1 0 0 0.793606 -0.525845 -0.306066 0 -0.705242 -0.708967 0 -0.764854 -0.644204 0 0 1 0 -0.864259 -0.503047 -0.093348 -0.865362 -0.492377 -1 0 0 -0.978254 -0.207399 -0.00235998 -0.0907739 -0.861502 -0.499574 -0.0907855 -0.860702 -0.500949 -0.0812972 -0.817663 -0.569928 -6.70924e-05 -0.864254 -0.503056 -8.18587e-05 -0.864329 -0.502927 0.066053 -0.771054 -0.633334 0.290392 -0.75998 -0.581466 1 0 0 0.0591632 -0.180572 -0.981781 1 0 0 0 -1 0 0.367197 -0.328272 -0.870289 1 0 0 0 -1 0 0 -0.203397 0.979096 1 0 0 0 0.604292 0.796763 0 0 -1 -0.911811 0 -0.410611 0 -1 0 0 -0.185477 -0.982649 -0.965977 0.211856 -0.148341 -0.586009 0.48966 0.64562 0.0611721 0.997593 0.0326375 0 0.604292 0.796763 1 0 0 1 0 0 -0.96304 0.239892 -0.122496 -1 0 0 -0.469668 -0.470095 0.747277 -0.700879 -0.584293 0.409109 -1 0 0 -0.181077 0.277538 0.943495 -0.559589 0.475369 0.678885 0 0.855201 0.518297 0.0142014 0.899466 0.436759 0.0042367 0.991466 0.130298 -0.119881 0.980122 0.158082 -0.341057 0.937613 0.0675415 0 0.258865 0.965913 -0.0046983 0.190312 0.981712 0.0830604 0 0.996545 1 0 0 1 0 0 0 0 -1 -0.649147 -0.760663 0 -0.681973 -0.728646 0.0631485 -0.797819 -0.577016 -0.174748 -0.820936 -0.551944 -0.146361 -0.91213 -0.235129 -0.335758 -0.877961 -0.0794777 -0.472088 -0.870327 -0.091343 -0.48393 -0.0540501 0.0582296 -0.996839 0 0 -1 0.128575 0.435329 -0.891043 0.106451 0.874379 -0.473422 0.112735 0.858727 -0.49988 3.45769e-06 0.864252 -0.50306 0.000104557 0.864231 -0.503096 -0.237156 0.933518 -0.26889 -0.806069 0.527081 -0.269143 -0.739002 0.650651 -0.174726 -0.644659 0.484643 -0.591216 -0.54298 0.839746 0 -0.684617 0.722574 -0.0958393 -0.946341 0.32317 0 -0.953188 0.299752 -0.0397579 1 0 0 0 1 0 1 0 0 0.369549 0.310322 -0.875862 1 0 0 1 0 0 0.0533428 0.158143 -0.985974 0 0 -1 -0.898934 0.0289254 -0.437129 -0.924454 -0.269616 -0.269616 0 0 -1 -0.9018 0 -0.432153 0 0.162498 -0.986709 -0.860043 0.0829098 -0.50344 0 1 0 -1 0 0 -0.909473 0.0318285 -0.414544 -1 0 0 -0.842595 0.315401 -0.436527 0 0 1 -0.499961 0.866048 -7.15804e-06 -1 0 0 0.0838717 -0.271442 -0.958794 1 0 0 0 0.923109 0.384538 0 1 0 -0.193578 0.981085 0 0.102115 -0.818857 -0.564841 0.108276 -0.859155 -0.500129 1 0 0 0.0612494 -0.997593 0.0325037 -0.883301 -0.418958 -0.210367 -0.792681 -0.544813 -0.273562 -0.760091 -0.649128 -0.0299109 -0.119881 -0.980122 0.158082 0.0042367 -0.991466 0.130298 -0.313556 -0.166684 0.934826 -1 0 0 0.072508 -0.622631 0.779149 1 0 0 0.0673791 -0.258277 0.963718 -0.00542314 -0.700422 0.713708 -0.0177324 -0.706996 0.706995 0.0161852 -0.899439 0.436746 0.0138013 -0.905344 0.424454 -0.0754289 -0.95041 0.301715 -0.153382 -0.774634 0.613528 0.0269861 -0.68483 0.728203 -0.629607 -0.77609 -0.0357611 -0.731644 -0.653277 -0.194748 -6.38914e-05 -0.864294 -0.502987 -0.240486 -0.964372 0.110246 -0.193578 0.981085 0 -0.493471 0.854731 -0.161 -0.499993 0.866029 0 0 0 1 0.0590365 -0.155103 0.986133 0 -0.150967 0.988539 0.125669 0.0133259 0.991983 0.131669 0 0.991294 0 0 -1 0 -1 0 -1 0 0 0 -1 0 1 0 0 0 -1 0 -1 0 0 0.674314 -0.245716 0.696365 0.83142 0.0878611 0.548654 1 0 0 -1 0 0 1 0 0 0 -1 0 0.322448 0.470033 0.821643 0 0.929293 -0.369343 -1 0 0 0.373078 0.927257 -0.0317385 0.587721 0 0.809063 0.258825 0 0.965924 0.251718 0.232733 0.939401 0.523666 0.26782 0.808732 0.518813 0.272604 0.810259 -0.258826 0 0.965924 -0.250905 0.245499 0.936364 -1 0 0 0.258825 0 0.965924 -0.258826 0 0.965924 0 -1 0 -0.215005 0.25816 0.941874 0.215005 0.25816 0.941874 -0.198106 0.455634 0.867843 0.198106 0.455634 0.867843 -0.15137 0.988477 0 0 1 0 0 0.855201 0.518297 0.610116 -0.565643 0.554803 1 0 0 0.671464 -0.31321 0.671592 0 0 -1 0.734192 -0.015722 -0.67876 0 -1 0 -0.380566 0.449654 0.808072 0.0629471 0.777437 0.625803 0 0.830378 0.5572 0.189305 0.963497 0.18931 0 1 0 0 0.855201 0.518297 0 0.929293 -0.369343 0 1 0 0.180596 0.966834 -0.180601 -0.939321 0.274828 0.205293 -0.57026 0.665818 0.481134 -0.821641 0.287306 0.492301 -0.501789 0.429109 0.751048 0 0 -1 -0.366095 -0.267846 -0.891198 -1 0 0 -1 0 0 -0.15137 0.988477 0 -0.121698 0.98395 -0.130506 1 0 0 -1 0 0 -1 0 0 0 0.388072 -0.921629 -0.0645505 0.622681 -0.779809 -0.0938893 0.441781 -0.892196 1 0 0 0.00482744 0.389267 -0.921112 0 0.257967 -0.966154 1 0 0 0 -1 0 0 0 -1 1 0 0 0 0.595791 -0.80314 0.0188514 0.584832 -0.810935 0.95495 0.243509 -0.169628 0.779851 0.36615 -0.507707 -1 0 0 0.94333 0.315249 -0.103671 -1 0 0 0 0.257967 -0.966154 0 0 -1 -1 0 0 0.817265 0.512486 0.263506 0.864866 0.477977 0.153445 -1 0 0 0 -1 0 0 -0.652208 0.75804 -0.917157 0.34443 -0.200477 -0.8786 0.336262 -0.339102 -0.900473 0.318325 -0.296339 -0.474734 0.676486 0.563022 -1 0 0 0 0 1 -0.457585 0.861778 -0.218984 -0.777012 0.605216 0.173108 -0.862361 0.50619 0.0102525 -0.89561 0.431139 -0.109555 1 0 0 0 0 1 0 -0.652208 0.75804 -0.0810776 0.995032 -0.0577707 -0.107132 0.984791 0.13678 -0.110598 0.975899 0.188118 0 0.920307 0.391198 0.0949242 0.94784 0.304285 0 0.996144 0.087734 -0.0735518 0.895247 0.439458 0 0.538981 0.842318 -0.0841015 0.726337 0.682174 -0.0964651 0.653911 0.750396 0.291179 0.615055 0.732749 0 0.728202 0.685363 -0.101493 0.919856 -0.378897 -0.0739003 0.685874 -0.723959 -0.104807 0.807955 -0.579848 0 0.965004 -0.262235 0.0639955 0.948005 -0.311754 0 0.836669 -0.547709 -0.0722801 0.973408 -0.217375 -1 0 0 1 0 0 -1 0 0 -1 0 0 -0.914114 -0.35042 -0.203963 1 0 0 0 0 -1 -1 0 0 0 1 0 0.925757 -0.2801 -0.254004 0 -0.992609 -0.121357 0.0792268 -0.991023 -0.107692 0.929693 -0.366179 -0.0397917 0 0 -1 1 0 0 0 -0.257967 -0.966154 -1 0 0 -0.897733 -0.322444 -0.300174 -0.877128 -0.338776 -0.340408 0 -0.257967 -0.966154 1 0 0 0 1 0 0 0.654505 0.756058 -0.686367 -0.653375 0.319377 -0.530454 -0.67433 0.51371 -1 0 0 0 0 1 0 0.654505 0.756058 -1 0 0 -0.847412 -0.529921 0.0328201 -0.857553 -0.51429 0.0104166 -0.900337 -0.411598 -0.141355 0.771289 -0.552324 0.316309 0.834139 -0.50267 0.227013 1 0 0 0 0 1 -0.07392 -0.968225 -0.238905 -0.0888162 -0.942042 -0.323526 0.0639597 -0.739254 -0.670382 0 -0.88939 -0.457149 -0.0875036 -0.7027 -0.706085 -0.0739803 -0.658535 -0.748905 1 0 0 0.952822 -0.262328 -0.152687 0.948312 -0.253579 -0.190792 0.0137701 -0.562026 0.827005 0 -0.555638 0.831424 -0.0974745 -0.658101 0.746594 0.0116882 -0.390948 -0.920339 0 -0.388072 -0.921629 -0.0753078 -0.566908 -0.820332 -0.088103 -0.438613 -0.894347 -0.0204683 -0.867591 0.496858 -0.0389404 -0.861017 0.507084 -0.0644628 -0.859878 0.506413 -0.0945385 -0.993617 0.0615387 0 -0.992609 -0.121357 -0.0645577 -0.985603 -0.156264 0 -0.981595 0.190972 -0.080212 -0.895517 0.437739 -1 0 0 1 0 0 0 1 0 1 0 0 -1 0 0 -1 0 0 0 1 0 -1 0 0 0.823795 -0.158908 0.54416 1 0 0 0.86345 0.00619682 0.504396 0 1 0 0.438758 -0.298387 0.847618 0.248515 -0.6421 0.725222 0.265065 -0.62771 0.731929 0 -0.919889 -0.39218 0.302492 -0.952745 -0.027844 0 0 -1 -0.357982 0.256329 -0.897855 0 1 0 -0.294401 -0.639032 0.71061 -1 0 0 -0.207597 -0.840127 0.501088 -0.18197 -0.982884 -0.0287248 -0.0129685 -0.954389 -0.298283 0.802852 -0.104651 0.586921 0.857589 0 0.514336 0.560959 0 0.827844 0.554291 -0.146103 0.819399 1 0 0 0 1 0 -0.238181 -0.637294 0.732889 0.238181 -0.637294 0.732889 0.294147 -0.307048 0.905096 -0.296026 -0.287518 0.91088 -0.238797 -0.282738 0.928997 0.238796 -0.282738 0.928997 0.248954 0 0.968515 -0.248955 0 0.968515 0.279172 -0.960241 0 0 -1 0 -0.0153415 -0.935549 0.352863 0.00768122 -0.862193 0.506523 -0.00193446 -0.866939 0.498411 0.292671 0.913632 0.28217 0.162881 0.975465 0.148115 0.609092 0.686838 0.396562 1 0 0 0.560959 0 0.827844 0.541272 0.115355 0.832897 0.248954 0 0.968515 0.247322 0.114326 0.962165 0.256838 0.123676 0.958508 -1 0 0 -0.248955 0 0.968515 -0.247323 0.114326 0.962165 -0.257044 0.117153 0.959272 0.560025 0.0119443 -0.828389 0 0 -1 0 1 0 0 -0.0980128 0.995185 0 -1 0 0 0 -1 0 -1 0 0 -1 0 -1 0 0 0 0 -1 -0.375817 -0.254025 -0.891197 -1 0 0 0 -1 0 -0.085294 0.861098 -0.501233 0.00719896 0.0687509 -0.997608 -0.920608 0.386902 0.0527972 -1 0 0 0.990928 0.0950292 -0.0950292 0.985078 0.171929 -0.00792225 0.989468 0.128603 -0.0664364 0.976255 0 -0.216625 0.952959 -0.0801112 -0.292319 0 0 -1 0 -1 0 0 0 -1 0.756223 -0.17294 -0.631045 1 0 0 0.693503 -0.615498 0.374454 0.96029 -0.197287 -0.197282 0.894039 -0.447989 0 0.458826 0.888418 0.0138472 0.611759 0.790206 -0.0364116 0.807168 0.524471 -0.270942 0.444104 0.449086 -0.775302 -7.05617e-05 0.864248 -0.503066 0.481176 -0.397408 0.781368 0.674143 -0.522273 0.522266 1 0 0 0.259715 0.28609 0.922334 0.453811 0.423624 0.783964 0.917522 0.281199 0.281211 0.119881 0.980122 0.158082 0.0343514 0.905167 0.423667 -0.0308415 0.623977 0.780834 0 0.597676 0.801738 0.0643308 0.605274 0.793414 0 0 -1 -1 0 0 -0.0200829 0.860857 0.508451 0 0.913813 0.406135 0 0.991345 0.131282 -0.364059 0.883486 0.29481 -0.0475907 0.998141 0.0380693 -0.164378 0.984864 0.0549816 0.00928606 0.129605 0.991522 0 0.258865 0.965913 -0.0457249 -0.000432228 0.998954 -0.999862 -0.00945149 0.013645 -1 0 0 -0.918373 0.194704 -0.344501 -1 0 0 -0.0852923 0.861104 -0.501224 -0.0862858 0.851435 -0.517314 0 0 -1 -0.126376 0 0.991982 -1 0 0 -1 0 0 0 1 0 0.706727 0.158561 -0.689489 -1 0 0 0 0 -1 0.95087 0.069385 -0.301714 0.454674 0.890604 -0.00981564 0 0 -1 -1 0 0 0.971816 0.0180468 -0.235047 0.973279 0 -0.229628 1 0 0 0.979999 -0.140717 -0.140717 -0.00715885 -0.710006 0.70416 0 -0.720455 0.693501 1 0 0 -0.11655 -0.0123589 0.993108 -0.061719 -0.146077 0.987346 0.499961 0.866048 -6.86962e-06 0 0 1 1 0 0 0 0 -1 -0.0366314 -0.998664 0.0364597 0 -0.855201 0.518297 -0.000954384 0.93215 0.362072 -0.00102385 0.999999 0.00115745 0 1 0 0.792681 -0.544813 -0.273562 0.629607 -0.77609 -0.0357611 0.731644 -0.653277 -0.194748 0.967515 -0.225933 -0.113446 0.921683 -0.387532 -0.0178569 0.123177 -0.981452 0.146901 0 -0.855201 0.518297 0 -0.994006 0.109326 -5.19009e-07 -0.707107 0.707106 1 0 0 0.313556 -0.166684 0.934826 -0.0734413 -0.258166 0.963305 -1 0 0 -0.0866647 -0.602018 0.793765 0 0 -1 -1 0 0 0 1 0 0 0 -1 -0.319515 0.28943 -0.902297 -0.890414 -0.450972 0.0615402 -0.036429 -0.998672 0.03643 -0.32425 -0.888661 0.324259 -1 0 0 -0.82066 -0.173987 -0.544285 -0.0810134 -0.841773 -0.533718 -0.0809366 -0.852396 -0.516594 -0.0817903 -0.861357 -0.501372 0.402954 0.91522 0 0 1 0 0.128987 0.989198 0.0696456 -1 0 0 0 1 0 0 0 -1 1 0 0 -1 0 0 0 0 1 0 -0.91137 0.411588 1 0 0 0 -0.91137 0.411588 -1 0 0 -1 0 0 1 0 0 0 1 0 1 0 0 0 -0.257967 -0.966154 0 -0.705242 -0.708967 -1 0 0 0.0347852 -0.86374 -0.502736 0 -0.996631 0.0820147 0 0 1 0 1 0 0.0347838 -0.863738 -0.502739 -0.0552075 -0.807969 -0.586633 0 0 -1 1 0 0 0 -0.257967 -0.966154 1 0 0 0.0295907 -0.808849 -0.587271 0 -0.705242 -0.708967 0 -0.79453 -0.607225 -1 0 0 0 1 0 0 0 1 -0.668245 0.486913 0.562463 -1 0 0 0 0 1 1 0 0 0.475638 0.0181055 0.879455 -0.0592609 -0.831438 -0.552449 -5.15669e-05 -0.864261 -0.503043 -0.0739568 -0.861896 -0.501663 -0.0592685 -0.890988 -0.450142 -0.0739503 -0.8619 -0.501658 -0.000109473 -0.864266 -0.503035 0 0 1 0 -1 0 -1 0 0 0 0 -1 1 0 0 0 0.889329 0.457268 -1 0 0 0 0.996631 0.0820147 0 0.889329 0.457268 1 0 0 1 0 0 0.0337212 0.87424 -0.484321 0 0.555317 -0.831639 -1 0 0 0.133989 -0.00286923 0.990979 0 -1 0 1 0 0 0 -1 0 0 0 1 0 0.257967 -0.966154 0 0.555317 -0.831639 1 0 0 -1 0 0 0 0.257967 -0.966154 0 0 -1 -0.0556739 0.704148 -0.707867 -1 0 0 -0.0847313 0.806293 -0.585416 -1 0 0 0 -1 0 0 0 1 -1 0 0 -0.665429 -0.486848 0.565847 -0.0618821 0.828736 -0.556208 0.00285778 0.864103 -0.503308 0 0.862556 -0.505961 -0.0739519 0.861896 -0.501663 -0.0705391 0.860359 -0.504783 -0.0592685 0.890988 -0.450142 -9.06284e-05 0.864257 -0.503051 -1 0 0 1 0 0 1 0 0 0.0231236 0 -0.999733 0 0.0185479 -0.999828 -1 0 0 0 -0.00707904 0.999975 -1 0 0 1 0 0 -0.0118343 -0.383213 -0.923584 -1 0 0 -1 0 0 0.33579 0.564031 0.754396 1 0 0 0.878526 -0.391968 -0.273045 0.227086 -0.476219 -0.849498 0.72912 -0.678102 0.0925346 0 -0.604292 0.796763 0 -0.765351 0.643614 1 0 0 -0.503251 -0.242234 0.829495 0 -0.604292 0.796763 0 -0.00707904 0.999975 -0.434466 -0.00637601 0.900666 0.0786868 0.967811 -0.23906 0.17754 0.828116 0.531698 0.645268 0.745673 0.166136 0.0770908 -0.63918 -0.765183 -0.556539 -0.811472 0.178264 -0.639297 -0.761899 0.10397 -0.81993 -0.454515 -0.348038 -0.402451 -0.494064 -0.770671 0.72912 0.678102 0.0925346 1 0 0 -0.449084 -0.0023753 0.893486 -0.621363 0.123894 0.773666 -1 0 0 -1 0 0 -0.809731 0.513297 -0.284362 -0.394943 0.510173 -0.764031 0.463288 0.492126 -0.737005 0.872534 0.427356 -0.236751 1 0 0 -0.0216392 0.987729 -0.154668 0.0250294 0.826746 0.562018 -0.653223 0.750213 0.102375 -0.675057 0.736271 0.0469282 0 0.388072 -0.921629 -0.203966 0.477756 -0.854486 0.386583 0.490541 -0.780976 0.0786835 0.685865 -0.723463 -0.334472 -0.933546 0.12892 0.0786868 -0.967811 -0.23906 0.645268 -0.745673 0.166136 0.204257 -0.831283 0.516961 -0.0392373 0.816356 0.576215 -0.0834824 0.81286 0.576445 -0.218563 0.476712 0.851455 0 0.401247 0.91597 0.067912 0.466352 0.881988 -0.0151562 -0.417541 -0.908532 -1 0 0 1 0 0 -1 0 0 0.0215141 -0.0185436 -0.999597 1 0 0 -1 0 0 -1 0 0 -0.0374882 -0.598378 0.800336 0 0 1 0 0 1 0 -0.573031 0.819534 0.02594 -0.43028 -0.902323 -0.218232 0.860291 0.460732 -1 0 0 -0.461993 0.51493 0.722087 0.420614 0 0.90724 1 0 0 0.576242 0.129064 0.807024 -1 0 0 -0.0290143 -0.784518 0.619427 -0.590074 0.799953 0.109031 -0.382192 0.880526 0.280363 -0.782545 0.515868 -0.348572 1 0 0 0.908876 -0.342213 -0.2384 0.162803 0.800611 0.576643 -0.0470743 0.837881 0.543819 0.354373 0.345192 0.869058 0 0.224415 0.974494 -0.22786 0.442267 0.867456 1 0 0 -0.229616 0.485157 -0.843741 -0.164758 0.470033 -0.867136 0 0.402522 -0.91541 -1 0 0 0 0 -1 0.471126 -0.228462 0.851966 1 0 0 0.420614 0 0.90724 -0.114795 -0.829506 0.546573 0.0294833 -0.984471 -0.173055 0.406066 -0.89367 0.190954 0.227398 0.447167 -0.865062 0.910294 0.328665 -0.251683 0.713918 0.6837 0.151247 0.78671 0.61169 0.0832034 -0.0585533 0.97133 -0.230413 -0.0521287 0.998343 0.0243638 -0.193425 -0.966299 -0.16986 -0.590186 -0.799885 0.108925 -0.585449 -0.802736 0.113416 -0.177101 -0.473076 -0.863038 -0.786381 -0.490458 -0.375573 0.645333 -0.735609 0.205971 0.786936 -0.611431 0.0829709 1 0 0 0.0277274 -0.77506 0.631279 0.338653 -0.37131 0.864548 0.0357573 -0.579624 0.814099</float_array>
+ <technique_common>
+ <accessor count="1364" source="#shape0-lib-normals-array" stride="3">
+ <param name="X" type="float"/>
+ <param name="Y" type="float"/>
+ <param name="Z" type="float"/>
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="shape0-lib-vertices">
+ <input semantic="POSITION" source="#shape0-lib-positions"/>
+ </vertices>
+ <triangles count="1364">
+ <input offset="0" semantic="VERTEX" source="#shape0-lib-vertices"/>
+ <input offset="1" semantic="NORMAL" source="#shape0-lib-normals"/>
+ <p>0 0 1 0 2 0 3 1 2 1 4 1 3 2 4 2 5 2 6 3 3 3 5 3 7 4 5 4 0 4 7 5 0 5 6 5 7 6 6 6 5 6 8 7 0 7 2 7 8 8 6 8 0 8 9 9 1 9 5 9 9 10 5 10 4 10 9 11 4 11 1 11 10 12 6 12 8 12 10 13 8 13 2 13 10 14 2 14 3 14 11 15 3 15 6 15 11 16 6 16 10 16 11 17 10 17 3 17 12 18 2 18 1 18 12 19 1 19 4 19 12 20 4 20 2 20 13 21 0 21 5 21 13 22 5 22 1 22 13 23 1 23 0 23 14 24 15 24 16 24 17 25 18 25 19 25 17 26 14 26 16 26 20 27 15 27 19 27 20 28 19 28 18 28 21 29 16 29 15 29 22 30 18 30 21 30 22 31 21 31 15 31 22 32 15 32 20 32 23 33 20 33 18 33 23 34 18 34 22 34 23 35 22 35 20 35 24 36 14 36 19 36 24 37 19 37 15 37 24 38 15 38 14 38 25 39 21 39 18 39 25 40 18 40 17 40 25 41 17 41 16 41 26 42 16 42 21 42 26 43 21 43 25 43 26 44 25 44 16 44 27 45 19 45 14 45 27 46 14 46 17 46 27 47 17 47 19 47 28 48 29 48 30 48 31 49 32 49 33 49 34 50 30 50 32 50 35 51 32 51 30 51 36 52 37 52 29 52 36 53 29 53 33 53 38 54 32 54 31 54 39 55 37 55 35 55 39 56 30 56 29 56 39 57 29 57 37 57 40 58 35 58 30 58 40 59 30 59 39 59 40 60 39 60 35 60 41 61 31 61 33 61 41 62 33 62 29 62 42 63 28 63 31 63 42 64 31 64 41 64 42 65 41 65 28 65 43 66 29 66 28 66 43 67 28 67 41 67 43 68 41 68 29 68 44 69 32 69 35 69 44 70 35 70 37 70 44 71 33 71 32 71 45 72 31 72 28 72 45 73 28 73 30 73 46 74 33 74 44 74 46 75 44 75 37 75 46 76 36 76 33 76 47 77 34 77 32 77 47 78 48 78 34 78 49 79 48 79 45 79 49 80 45 80 30 80 49 81 30 81 34 81 49 82 34 82 48 82 50 83 32 83 38 83 50 84 47 84 32 84 51 85 47 85 50 85 51 86 50 86 38 86 51 87 48 87 47 87 52 88 37 88 36 88 52 89 36 89 46 89 52 90 46 90 37 90 53 91 38 91 31 91 53 92 51 92 38 92 53 93 48 93 51 93 54 94 48 94 53 94 54 95 53 95 31 95 54 96 31 96 45 96 54 97 45 97 48 97 55 98 56 98 57 98 58 99 59 99 60 99 61 100 56 100 60 100 61 101 60 101 59 101 62 102 57 102 58 102 63 103 59 103 58 103 63 104 58 104 57 104 64 105 55 105 57 105 65 106 61 106 59 106 66 107 58 107 60 107 67 108 60 108 56 108 67 109 56 109 55 109 68 110 58 110 66 110 69 111 62 111 58 111 69 112 58 112 68 112 69 113 68 113 62 113 70 114 65 114 59 114 70 115 59 115 63 115 71 116 57 116 62 116 71 117 64 117 57 117 72 118 60 118 67 118 72 119 55 119 66 119 72 120 66 120 60 120 73 121 67 121 55 121 73 122 55 122 72 122 73 123 72 123 67 123 74 124 56 124 61 124 74 125 61 125 65 125 74 126 65 126 56 126 75 127 63 127 57 127 75 128 57 128 70 128 75 129 70 129 63 129 76 130 57 130 56 130 76 131 70 131 57 131 76 132 56 132 65 132 76 133 65 133 70 133 77 134 64 134 62 134 77 135 62 135 68 135 77 136 55 136 64 136 78 137 62 137 64 137 78 138 64 138 71 138 78 139 71 139 62 139 79 140 68 140 66 140 79 141 77 141 68 141 80 142 77 142 79 142 80 143 79 143 66 143 80 144 66 144 55 144 80 145 55 145 77 145 81 146 82 146 83 146 82 147 81 147 84 147 85 148 83 148 82 148 86 149 84 149 81 149 87 150 83 150 85 150 88 151 84 151 86 151 89 152 82 152 84 152 89 153 85 153 82 153 90 154 84 154 88 154 90 155 88 155 91 155 92 156 87 156 86 156 92 157 86 157 81 157 93 158 81 158 83 158 93 159 83 159 92 159 93 160 92 160 81 160 94 161 83 161 87 161 94 162 87 162 92 162 94 163 92 163 83 163 95 164 89 164 84 164 96 165 87 165 85 165 96 166 86 166 87 166 97 167 86 167 96 167 97 168 88 168 86 168 98 169 95 169 84 169 98 170 90 170 91 170 98 171 91 171 95 171 99 172 85 172 89 172 99 173 89 173 95 173 99 174 95 174 85 174 100 175 84 175 90 175 100 176 90 176 98 176 100 177 98 177 84 177 101 178 91 178 88 178 101 179 88 179 97 179 101 180 97 180 96 180 101 181 85 181 95 181 101 182 96 182 85 182 101 183 95 183 91 183 102 184 103 184 104 184 105 185 106 185 107 185 108 186 104 186 105 186 109 187 105 187 107 187 110 188 108 188 111 188 110 189 102 189 104 189 112 190 109 190 107 190 113 191 108 191 105 191 114 192 105 192 109 192 114 193 113 193 105 193 115 194 107 194 102 194 115 195 102 195 112 195 115 196 112 196 107 196 116 197 103 197 107 197 116 198 107 198 106 198 116 199 106 199 103 199 117 200 104 200 108 200 117 201 110 201 104 201 118 202 102 202 107 202 118 203 107 203 103 203 118 204 103 204 102 204 119 205 103 205 106 205 119 206 106 206 120 206 119 207 104 207 103 207 119 208 120 208 104 208 121 209 105 209 104 209 121 210 104 210 120 210 121 211 106 211 105 211 121 212 120 212 106 212 122 213 112 213 102 213 122 214 102 214 110 214 122 215 110 215 111 215 123 216 112 216 122 216 123 217 122 217 111 217 123 218 109 218 112 218 123 219 111 219 108 219 124 220 108 220 110 220 124 221 110 221 117 221 124 222 117 222 108 222 125 223 114 223 109 223 125 224 109 224 123 224 125 225 123 225 108 225 125 226 108 226 113 226 125 227 113 227 114 227 126 228 127 228 128 228 129 229 127 229 130 229 129 230 130 230 128 230 129 231 128 231 127 231 131 232 128 232 130 232 131 233 126 233 128 233 132 234 126 234 131 234 132 235 131 235 133 235 134 236 132 236 133 236 135 237 134 237 136 237 137 238 132 238 134 238 137 239 134 239 135 239 137 240 126 240 132 240 138 241 139 241 140 241 138 242 136 242 139 242 138 243 135 243 136 243 141 244 133 244 131 244 141 245 131 245 130 245 142 246 130 246 127 246 143 247 140 247 127 247 144 248 135 248 138 248 145 249 136 249 134 249 145 250 139 250 136 250 146 251 143 251 127 251 147 252 127 252 140 252 147 253 142 253 127 253 148 254 130 254 149 254 148 255 141 255 130 255 150 256 127 256 126 256 150 257 146 257 127 257 150 258 135 258 151 258 150 259 137 259 135 259 150 260 126 260 137 260 152 261 133 261 141 261 152 262 141 262 148 262 152 263 148 263 149 263 152 264 134 264 133 264 152 265 145 265 134 265 152 266 149 266 145 266 153 267 144 267 138 267 154 268 151 268 144 268 154 269 144 269 153 269 154 270 138 270 140 270 154 271 153 271 138 271 154 272 143 272 146 272 154 273 146 273 151 273 154 274 140 274 143 274 155 275 151 275 135 275 155 276 135 276 144 276 155 277 144 277 151 277 156 278 142 278 147 278 156 279 140 279 139 279 156 280 147 280 140 280 156 281 139 281 145 281 156 282 145 282 149 282 156 283 149 283 130 283 156 284 130 284 142 284 157 285 151 285 146 285 157 286 146 286 150 286 157 287 150 287 151 287 158 288 159 288 160 288 161 289 158 289 160 289 161 290 162 290 163 290 164 291 165 291 162 291 166 292 159 292 165 292 167 293 162 293 165 293 168 294 160 294 159 294 168 295 159 295 166 295 169 296 167 296 165 296 170 297 169 297 165 297 171 298 165 298 159 298 171 299 159 299 170 299 171 300 170 300 165 300 172 301 158 301 173 301 174 302 162 302 161 302 174 303 164 303 162 303 175 304 176 304 169 304 175 305 169 305 170 305 175 306 170 306 176 306 177 307 167 307 169 307 177 308 169 308 163 308 178 309 161 309 160 309 178 310 174 310 161 310 179 311 164 311 174 311 179 312 174 312 178 312 179 313 178 313 160 313 180 314 162 314 167 314 180 315 167 315 177 315 180 316 163 316 162 316 180 317 177 317 163 317 181 318 172 318 173 318 181 319 173 319 163 319 182 320 163 320 169 320 182 321 181 321 163 321 182 322 172 322 181 322 182 323 169 323 176 323 183 324 172 324 182 324 183 325 182 325 176 325 183 326 176 326 159 326 183 327 159 327 172 327 184 328 163 328 173 328 184 329 173 329 158 329 184 330 158 330 161 330 184 331 161 331 163 331 185 332 159 332 176 332 185 333 176 333 170 333 185 334 170 334 159 334 186 335 159 335 158 335 186 336 158 336 172 336 186 337 172 337 159 337 187 338 166 338 179 338 187 339 179 339 160 339 188 340 164 340 179 340 188 341 179 341 166 341 188 342 165 342 164 342 188 343 166 343 165 343 189 344 166 344 187 344 189 345 187 345 160 345 189 346 160 346 168 346 189 347 168 347 166 347 190 348 191 348 192 348 193 349 191 349 190 349 194 350 190 350 192 350 194 351 192 351 191 351 195 352 196 352 194 352 195 353 194 353 191 353 195 354 191 354 193 354 197 355 194 355 196 355 198 356 195 356 193 356 199 357 195 357 198 357 200 358 198 358 193 358 201 359 199 359 202 359 203 360 200 360 204 360 203 361 199 361 198 361 203 362 198 362 200 362 203 363 202 363 199 363 205 364 190 364 194 364 206 365 199 365 201 365 206 366 201 366 197 366 206 367 197 367 196 367 207 368 208 368 190 368 207 369 190 369 205 369 207 370 205 370 209 370 210 371 206 371 196 371 210 372 196 372 195 372 210 373 195 373 199 373 211 374 212 374 213 374 211 375 213 375 204 375 211 376 204 376 200 376 211 377 200 377 193 377 211 378 193 378 190 378 214 379 204 379 213 379 214 380 215 380 216 380 214 381 208 381 215 381 214 382 216 382 203 382 214 383 203 383 204 383 217 384 202 384 203 384 217 385 203 385 216 385 217 386 209 386 201 386 217 387 201 387 202 387 217 388 216 388 209 388 218 389 199 389 206 389 218 390 206 390 210 390 218 391 210 391 199 391 219 392 215 392 208 392 219 393 208 393 207 393 219 394 207 394 209 394 219 395 209 395 216 395 219 396 216 396 215 396 220 397 208 397 214 397 220 398 214 398 213 398 220 399 212 399 211 399 220 400 211 400 190 400 220 401 213 401 212 401 220 402 190 402 208 402 221 403 201 403 209 403 221 404 209 404 205 404 221 405 197 405 201 405 221 406 194 406 197 406 221 407 205 407 194 407 222 408 223 408 224 408 225 409 224 409 223 409 226 410 227 410 228 410 229 411 225 411 223 411 230 412 228 412 227 412 231 413 226 413 228 413 232 414 222 414 224 414 233 415 230 415 234 415 233 416 223 416 228 416 235 417 222 417 232 417 236 418 237 418 238 418 236 419 239 419 227 419 236 420 238 420 239 420 236 421 227 421 226 421 240 422 228 422 230 422 240 423 230 423 233 423 240 424 233 424 228 424 241 425 231 425 228 425 242 426 229 426 223 426 242 427 234 427 229 427 242 428 233 428 234 428 243 429 237 429 235 429 243 430 235 430 232 430 243 431 232 431 224 431 243 432 224 432 238 432 243 433 238 433 237 433 244 434 234 434 230 434 244 435 230 435 227 435 244 436 227 436 225 436 245 437 225 437 229 437 245 438 244 438 225 438 245 439 229 439 234 439 245 440 234 440 244 440 246 441 239 441 238 441 246 442 238 442 224 442 246 443 224 443 225 443 246 444 227 444 239 444 246 445 225 445 227 445 247 446 237 446 236 446 247 447 236 447 226 447 247 448 226 448 231 448 247 449 231 449 237 449 248 450 241 450 228 450 249 451 223 451 233 451 249 452 233 452 242 452 249 453 242 453 223 453 250 454 231 454 241 454 250 455 237 455 231 455 251 456 235 456 237 456 251 457 237 457 250 457 251 458 250 458 241 458 251 459 241 459 248 459 251 460 222 460 235 460 252 461 228 461 223 461 252 462 223 462 222 462 252 463 222 463 228 463 253 464 222 464 251 464 253 465 251 465 248 465 253 466 228 466 222 466 253 467 248 467 228 467 254 468 255 468 256 468 257 469 254 469 256 469 258 470 259 470 260 470 261 471 262 471 254 471 263 472 255 472 254 472 263 473 254 473 262 473 264 474 257 474 256 474 265 475 260 475 256 475 265 476 266 476 260 476 265 477 256 477 255 477 267 478 266 478 265 478 267 479 260 479 266 479 268 480 261 480 254 480 269 481 259 481 258 481 270 482 265 482 255 482 270 483 255 483 267 483 270 484 267 484 265 484 271 485 259 485 257 485 272 486 260 486 259 486 272 487 259 487 271 487 273 488 274 488 262 488 273 489 262 489 261 489 273 490 261 490 274 490 275 491 261 491 268 491 276 492 272 492 271 492 276 493 264 493 256 493 277 494 256 494 260 494 277 495 276 495 256 495 277 496 260 496 272 496 277 497 272 497 276 497 278 498 275 498 268 498 278 499 261 499 275 499 278 500 268 500 269 500 278 501 269 501 258 501 278 502 258 502 274 502 279 503 262 503 274 503 279 504 274 504 267 504 279 505 267 505 255 505 279 506 255 506 263 506 279 507 263 507 262 507 280 508 260 508 267 508 280 509 267 509 274 509 280 510 274 510 258 510 280 511 258 511 260 511 281 512 259 512 269 512 281 513 269 513 268 513 281 514 268 514 254 514 281 515 257 515 259 515 282 516 254 516 257 516 282 517 257 517 281 517 282 518 281 518 254 518 283 519 257 519 264 519 283 520 271 520 257 520 284 521 271 521 283 521 284 522 283 522 264 522 284 523 264 523 276 523 284 524 276 524 271 524 285 525 274 525 261 525 285 526 261 526 278 526 285 527 278 527 274 527 286 528 287 528 288 528 289 529 288 529 287 529 289 530 290 530 288 530 291 531 292 531 293 531 294 532 290 532 289 532 294 533 293 533 290 533 295 534 287 534 286 534 296 535 288 535 290 535 296 536 292 536 288 536 297 537 292 537 291 537 298 538 289 538 287 538 299 539 293 539 294 539 299 540 294 540 289 540 299 541 289 541 298 541 300 542 287 542 295 542 300 543 295 543 301 543 302 544 293 544 292 544 302 545 292 545 296 545 303 546 296 546 290 546 304 547 301 547 305 547 304 548 287 548 300 548 304 549 300 549 301 549 306 550 305 550 307 550 306 551 304 551 305 551 306 552 287 552 304 552 306 553 298 553 287 553 306 554 307 554 291 554 308 555 307 555 305 555 308 556 305 556 301 556 308 557 301 557 295 557 309 558 286 558 292 558 309 559 292 559 297 559 309 560 297 560 286 560 310 561 307 561 308 561 310 562 291 562 307 562 310 563 297 563 291 563 310 564 311 564 297 564 312 565 296 565 303 565 312 566 290 566 293 566 312 567 303 567 290 567 312 568 293 568 302 568 312 569 302 569 296 569 313 570 308 570 295 570 313 571 310 571 308 571 313 572 295 572 311 572 313 573 311 573 310 573 314 574 298 574 306 574 314 575 306 575 291 575 314 576 293 576 299 576 314 577 299 577 298 577 314 578 291 578 293 578 315 579 286 579 297 579 315 580 297 580 311 580 316 581 288 581 292 581 316 582 292 582 286 582 316 583 286 583 288 583 317 584 286 584 315 584 317 585 315 585 311 585 317 586 295 586 286 586 317 587 311 587 295 587 318 588 319 588 320 588 321 589 319 589 322 589 323 590 322 590 318 590 324 591 318 591 322 591 324 592 319 592 318 592 325 593 322 593 323 593 325 594 321 594 322 594 326 595 322 595 319 595 326 596 324 596 322 596 327 597 321 597 328 597 327 598 320 598 319 598 329 599 318 599 320 599 330 600 328 600 323 600 331 601 329 601 320 601 332 602 320 602 327 602 332 603 327 603 328 603 333 604 319 604 321 604 333 605 321 605 327 605 333 606 327 606 319 606 334 607 320 607 332 607 335 608 319 608 324 608 335 609 324 609 326 609 335 610 326 610 319 610 336 611 323 611 328 611 336 612 328 612 325 612 336 613 325 613 323 613 337 614 328 614 321 614 337 615 321 615 325 615 337 616 325 616 328 616 338 617 323 617 318 617 338 618 318 618 329 618 338 619 329 619 323 619 339 620 328 620 330 620 339 621 330 621 334 621 339 622 332 622 328 622 339 623 334 623 332 623 340 624 331 624 320 624 340 625 320 625 334 625 340 626 334 626 331 626 341 627 331 627 334 627 341 628 330 628 323 628 341 629 334 629 330 629 342 630 329 630 331 630 342 631 331 631 341 631 342 632 323 632 329 632 342 633 341 633 323 633 343 634 344 634 345 634 346 635 347 635 343 635 346 636 345 636 348 636 346 637 348 637 347 637 349 638 343 638 345 638 349 639 346 639 343 639 350 640 351 640 348 640 350 641 345 641 344 641 352 642 345 642 346 642 352 643 346 643 349 643 353 644 343 644 347 644 354 645 344 645 343 645 355 646 353 646 347 646 356 647 351 647 350 647 356 648 350 648 344 648 357 649 348 649 345 649 357 650 345 650 350 650 357 651 350 651 348 651 358 652 353 652 355 652 359 653 349 653 345 653 359 654 345 654 352 654 359 655 352 655 349 655 360 656 347 656 351 656 360 657 351 657 355 657 360 658 355 658 347 658 361 659 347 659 348 659 361 660 348 660 351 660 361 661 351 661 347 661 362 662 344 662 358 662 362 663 356 663 344 663 363 664 351 664 356 664 363 665 356 665 362 665 363 666 355 666 351 666 363 667 358 667 355 667 364 668 344 668 354 668 364 669 358 669 344 669 365 670 364 670 354 670 365 671 343 671 353 671 365 672 354 672 343 672 366 673 364 673 365 673 366 674 365 674 353 674 366 675 353 675 358 675 366 676 358 676 364 676 367 677 362 677 358 677 367 678 358 678 363 678 367 679 363 679 362 679 368 680 369 680 370 680 368 681 371 681 372 681 373 682 369 682 368 682 374 683 370 683 371 683 374 684 371 684 368 684 374 685 368 685 370 685 375 686 371 686 370 686 375 687 370 687 376 687 377 688 373 688 368 688 378 689 369 689 379 689 380 690 368 690 372 690 380 691 372 691 381 691 382 692 371 692 375 692 382 693 372 693 371 693 383 694 380 694 381 694 383 695 378 695 379 695 384 696 373 696 377 696 385 697 379 697 369 697 385 698 369 698 373 698 386 699 377 699 368 699 387 700 380 700 383 700 388 701 383 701 381 701 389 702 375 702 376 702 389 703 388 703 375 703 389 704 383 704 388 704 389 705 376 705 378 705 389 706 378 706 383 706 390 707 379 707 385 707 390 708 385 708 373 708 390 709 373 709 384 709 390 710 384 710 379 710 391 711 379 711 384 711 392 712 369 712 378 712 392 713 378 713 376 713 392 714 376 714 370 714 392 715 370 715 369 715 393 716 386 716 368 716 393 717 368 717 380 717 394 718 382 718 375 718 394 719 375 719 388 719 395 720 382 720 394 720 395 721 394 721 388 721 395 722 388 722 381 722 395 723 381 723 372 723 395 724 372 724 382 724 396 725 380 725 397 725 396 726 393 726 380 726 396 727 386 727 393 727 396 728 384 728 377 728 396 729 377 729 386 729 396 730 397 730 384 730 398 731 384 731 397 731 398 732 391 732 384 732 398 733 380 733 387 733 398 734 387 734 391 734 398 735 397 735 380 735 399 736 379 736 391 736 399 737 391 737 387 737 399 738 383 738 379 738 399 739 387 739 383 739 400 740 401 740 402 740 403 741 404 741 401 741 403 742 401 742 400 742 403 743 400 743 404 743 405 744 402 744 401 744 406 745 400 745 402 745 407 746 404 746 400 746 407 747 400 747 408 747 409 748 410 748 407 748 411 749 412 749 409 749 411 750 407 750 408 750 411 751 409 751 407 751 413 752 404 752 407 752 413 753 407 753 410 753 413 754 401 754 404 754 414 755 409 755 412 755 415 756 410 756 409 756 415 757 409 757 414 757 415 758 413 758 410 758 416 759 414 759 417 759 416 760 417 760 415 760 416 761 415 761 414 761 418 762 408 762 400 762 418 763 400 763 406 763 419 764 417 764 401 764 419 765 401 765 413 765 419 766 413 766 417 766 420 767 408 767 418 767 420 768 418 768 406 768 421 769 406 769 402 769 421 770 420 770 406 770 422 771 412 771 411 771 422 772 411 772 408 772 422 773 423 773 412 773 424 774 423 774 420 774 424 775 420 775 421 775 425 776 426 776 414 776 425 777 414 777 412 777 427 778 426 778 402 778 427 779 402 779 405 779 427 780 405 780 426 780 428 781 426 781 425 781 428 782 425 782 412 782 428 783 421 783 402 783 428 784 424 784 421 784 428 785 423 785 424 785 428 786 412 786 423 786 428 787 402 787 426 787 429 788 423 788 422 788 429 789 422 789 408 789 429 790 408 790 420 790 429 791 420 791 423 791 430 792 417 792 413 792 430 793 413 793 415 793 430 794 415 794 417 794 431 795 417 795 414 795 431 796 426 796 405 796 431 797 414 797 426 797 431 798 401 798 417 798 431 799 405 799 401 799 432 800 433 800 434 800 435 801 433 801 436 801 437 802 434 802 435 802 437 803 435 803 436 803 438 804 432 804 439 804 438 805 436 805 433 805 440 806 434 806 437 806 441 807 442 807 436 807 441 808 439 808 442 808 441 809 438 809 439 809 443 810 440 810 437 810 444 811 432 811 438 811 444 812 438 812 433 812 445 813 439 813 446 813 447 814 432 814 434 814 448 815 440 815 443 815 449 816 439 816 432 816 450 817 436 817 442 817 450 818 451 818 436 818 450 819 445 819 451 819 450 820 442 820 439 820 450 821 439 821 445 821 452 822 437 822 451 822 452 823 451 823 443 823 452 824 443 824 437 824 453 825 436 825 451 825 453 826 451 826 437 826 453 827 437 827 436 827 454 828 443 828 451 828 454 829 451 829 445 829 454 830 446 830 443 830 454 831 445 831 446 831 455 832 447 832 440 832 455 833 449 833 447 833 455 834 440 834 439 834 456 835 436 835 438 835 456 836 438 836 441 836 456 837 441 837 436 837 457 838 433 838 432 838 457 839 432 839 444 839 457 840 444 840 433 840 458 841 443 841 446 841 458 842 446 842 439 842 458 843 439 843 440 843 459 844 439 844 449 844 459 845 449 845 455 845 459 846 455 846 439 846 460 847 432 847 447 847 460 848 447 848 449 848 460 849 449 849 432 849 461 850 440 850 448 850 461 851 458 851 440 851 461 852 448 852 443 852 461 853 443 853 458 853 462 854 434 854 433 854 462 855 433 855 435 855 462 856 435 856 434 856 463 857 434 857 440 857 463 858 440 858 447 858 463 859 447 859 434 859 464 860 465 860 466 860 467 861 468 861 469 861 470 862 467 862 469 862 471 863 464 863 467 863 471 864 472 864 473 864 471 865 467 865 472 865 474 866 465 866 464 866 475 867 464 867 471 867 476 868 467 868 464 868 476 869 464 869 466 869 477 870 466 870 468 870 477 871 468 871 476 871 477 872 476 872 466 872 478 873 471 873 473 873 478 874 475 874 471 874 478 875 474 875 464 875 478 876 464 876 475 876 479 877 470 877 469 877 480 878 474 878 478 878 481 879 468 879 467 879 481 880 467 880 476 880 481 881 476 881 468 881 482 882 467 882 470 882 483 883 465 883 474 883 483 884 474 884 480 884 484 885 469 885 468 885 484 886 468 886 466 886 484 887 466 887 469 887 485 888 482 888 470 888 485 889 472 889 467 889 485 890 467 890 482 890 486 891 487 891 479 891 486 892 479 892 469 892 486 893 469 893 465 893 488 894 489 894 485 894 488 895 479 895 487 895 488 896 470 896 479 896 488 897 485 897 470 897 490 898 466 898 465 898 490 899 465 899 469 899 490 900 469 900 466 900 491 901 492 901 489 901 491 902 489 902 488 902 491 903 488 903 487 903 491 904 493 904 483 904 491 905 483 905 480 905 491 906 480 906 492 906 491 907 487 907 493 907 494 908 486 908 465 908 494 909 493 909 487 909 494 910 487 910 486 910 494 911 465 911 483 911 494 912 483 912 493 912 495 913 485 913 489 913 495 914 473 914 472 914 495 915 472 915 485 915 495 916 492 916 480 916 495 917 480 917 478 917 495 918 478 918 473 918 495 919 489 919 492 919 496 920 497 920 498 920 499 921 500 921 501 921 502 922 498 922 497 922 503 923 498 923 502 923 503 924 502 924 504 924 505 925 499 925 501 925 506 926 500 926 497 926 506 927 497 927 496 927 506 928 496 928 500 928 507 929 508 929 499 929 507 930 509 930 510 930 511 931 509 931 507 931 511 932 507 932 505 932 512 933 497 933 500 933 512 934 500 934 499 934 512 935 499 935 497 935 513 936 502 936 497 936 513 937 504 937 502 937 513 938 514 938 504 938 513 939 497 939 499 939 515 940 501 940 500 940 515 941 500 941 496 941 515 942 496 942 501 942 516 943 517 943 518 943 516 944 518 944 498 944 516 945 498 945 503 945 519 946 498 946 501 946 519 947 501 947 496 947 519 948 496 948 498 948 520 949 517 949 516 949 520 950 516 950 503 950 520 951 503 951 504 951 521 952 522 952 511 952 521 953 511 953 505 953 521 954 505 954 501 954 521 955 501 955 498 955 523 956 510 956 520 956 523 957 520 957 504 957 523 958 508 958 507 958 523 959 507 959 510 959 523 960 504 960 514 960 523 961 514 961 508 961 524 962 499 962 505 962 524 963 505 963 507 963 524 964 507 964 499 964 525 965 522 965 521 965 525 966 521 966 498 966 525 967 498 967 518 967 526 968 499 968 508 968 526 969 513 969 499 969 526 970 508 970 514 970 526 971 514 971 513 971 527 972 511 972 522 972 527 973 522 973 525 973 527 974 525 974 518 974 527 975 517 975 520 975 527 976 510 976 509 976 527 977 520 977 510 977 527 978 509 978 511 978 527 979 518 979 517 979 528 980 529 980 530 980 531 981 532 981 533 981 534 982 532 982 528 982 535 983 533 983 532 983 536 984 530 984 529 984 537 985 528 985 530 985 537 986 534 986 528 986 538 987 537 987 530 987 539 988 540 988 533 988 539 989 533 989 535 989 539 990 535 990 541 990 542 991 532 991 534 991 543 992 540 992 544 992 543 993 545 993 533 993 543 994 533 994 540 994 546 995 529 995 531 995 546 996 531 996 533 996 547 997 531 997 529 997 547 998 529 998 528 998 547 999 528 999 532 999 548 1000 545 1000 530 1000 548 1001 530 1001 536 1001 548 1002 536 1002 545 1002 549 1003 536 1003 529 1003 549 1004 529 1004 546 1004 550 1005 540 1005 539 1005 550 1006 539 1006 541 1006 550 1007 541 1007 544 1007 550 1008 544 1008 540 1008 551 1009 535 1009 532 1009 551 1010 532 1010 542 1010 552 1011 530 1011 545 1011 552 1012 545 1012 543 1012 552 1013 543 1013 544 1013 552 1014 538 1014 530 1014 553 1015 538 1015 552 1015 553 1016 552 1016 544 1016 553 1017 544 1017 554 1017 553 1018 554 1018 538 1018 555 1019 546 1019 533 1019 555 1020 549 1020 546 1020 555 1021 536 1021 549 1021 555 1022 533 1022 545 1022 555 1023 545 1023 536 1023 556 1024 542 1024 541 1024 556 1025 551 1025 542 1025 556 1026 541 1026 535 1026 556 1027 535 1027 551 1027 557 1028 544 1028 541 1028 557 1029 541 1029 542 1029 557 1030 554 1030 544 1030 557 1031 534 1031 554 1031 557 1032 542 1032 534 1032 558 1033 537 1033 538 1033 558 1034 538 1034 554 1034 558 1035 554 1035 534 1035 558 1036 534 1036 537 1036 559 1037 532 1037 531 1037 559 1038 531 1038 547 1038 559 1039 547 1039 532 1039 560 1040 561 1040 562 1040 560 1041 563 1041 561 1041 564 1042 565 1042 563 1042 566 1043 563 1043 560 1043 567 1044 561 1044 563 1044 568 1045 566 1045 569 1045 568 1046 564 1046 563 1046 568 1047 563 1047 566 1047 570 1048 568 1048 569 1048 571 1049 561 1049 567 1049 572 1050 570 1050 573 1050 572 1051 565 1051 564 1051 574 1052 575 1052 570 1052 574 1053 570 1053 569 1053 576 1054 577 1054 565 1054 578 1055 579 1055 576 1055 578 1056 576 1056 565 1056 580 1057 565 1057 577 1057 580 1058 577 1058 567 1058 580 1059 563 1059 565 1059 581 1060 567 1060 563 1060 581 1061 563 1061 580 1061 581 1062 580 1062 567 1062 582 1063 577 1063 576 1063 582 1064 561 1064 571 1064 582 1065 567 1065 577 1065 582 1066 571 1066 567 1066 583 1067 573 1067 579 1067 583 1068 579 1068 578 1068 583 1069 578 1069 565 1069 583 1070 565 1070 572 1070 583 1071 572 1071 573 1071 584 1072 562 1072 561 1072 584 1073 561 1073 582 1073 584 1074 582 1074 576 1074 584 1075 585 1075 562 1075 584 1076 579 1076 585 1076 584 1077 576 1077 579 1077 586 1078 579 1078 573 1078 587 1079 579 1079 586 1079 587 1080 574 1080 569 1080 587 1081 569 1081 585 1081 587 1082 585 1082 579 1082 588 1083 564 1083 568 1083 588 1084 568 1084 570 1084 589 1085 574 1085 587 1085 589 1086 587 1086 586 1086 589 1087 586 1087 573 1087 589 1088 575 1088 574 1088 589 1089 573 1089 570 1089 589 1090 570 1090 575 1090 590 1091 562 1091 585 1091 590 1092 585 1092 569 1092 590 1093 560 1093 562 1093 590 1094 566 1094 560 1094 590 1095 569 1095 566 1095 591 1096 564 1096 588 1096 591 1097 588 1097 570 1097 591 1098 570 1098 572 1098 591 1099 572 1099 564 1099 592 1100 593 1100 594 1100 595 1101 596 1101 597 1101 595 1102 598 1102 596 1102 599 1103 596 1103 598 1103 600 1104 592 1104 598 1104 600 1105 593 1105 592 1105 601 1106 599 1106 598 1106 601 1107 592 1107 594 1107 602 1108 593 1108 600 1108 602 1109 600 1109 597 1109 603 1110 594 1110 593 1110 604 1111 599 1111 601 1111 605 1112 593 1112 602 1112 605 1113 603 1113 593 1113 606 1114 605 1114 602 1114 606 1115 603 1115 605 1115 606 1116 607 1116 599 1116 606 1117 599 1117 608 1117 609 1118 606 1118 602 1118 609 1119 597 1119 596 1119 609 1120 596 1120 607 1120 610 1121 602 1121 597 1121 610 1122 597 1122 609 1122 610 1123 609 1123 602 1123 611 1124 594 1124 603 1124 612 1125 604 1125 613 1125 612 1126 608 1126 599 1126 614 1127 595 1127 597 1127 614 1128 598 1128 595 1128 614 1129 600 1129 598 1129 615 1130 611 1130 603 1130 615 1131 608 1131 613 1131 615 1132 613 1132 611 1132 615 1133 603 1133 606 1133 615 1134 606 1134 608 1134 616 1135 613 1135 608 1135 616 1136 608 1136 612 1136 616 1137 612 1137 613 1137 617 1138 607 1138 606 1138 617 1139 606 1139 609 1139 617 1140 609 1140 607 1140 618 1141 607 1141 596 1141 618 1142 596 1142 599 1142 618 1143 599 1143 607 1143 619 1144 601 1144 594 1144 619 1145 604 1145 601 1145 620 1146 598 1146 592 1146 620 1147 592 1147 601 1147 620 1148 601 1148 598 1148 621 1149 599 1149 604 1149 621 1150 604 1150 612 1150 621 1151 612 1151 599 1151 622 1152 604 1152 619 1152 622 1153 619 1153 594 1153 622 1154 594 1154 611 1154 622 1155 611 1155 613 1155 622 1156 613 1156 604 1156 623 1157 597 1157 600 1157 623 1158 600 1158 614 1158 623 1159 614 1159 597 1159 624 1160 625 1160 626 1160 624 1161 627 1161 628 1161 624 1162 628 1162 625 1162 629 1163 628 1163 630 1163 631 1164 626 1164 625 1164 632 1165 627 1165 626 1165 632 1166 626 1166 630 1166 632 1167 630 1167 628 1167 633 1168 630 1168 626 1168 633 1169 626 1169 631 1169 634 1170 631 1170 625 1170 635 1171 629 1171 630 1171 636 1172 628 1172 627 1172 636 1173 632 1173 628 1173 637 1174 625 1174 629 1174 637 1175 629 1175 634 1175 637 1176 634 1176 625 1176 638 1177 635 1177 630 1177 638 1178 630 1178 633 1178 639 1179 626 1179 627 1179 639 1180 627 1180 624 1180 640 1181 635 1181 638 1181 640 1182 631 1182 634 1182 641 1183 625 1183 628 1183 641 1184 628 1184 629 1184 641 1185 629 1185 625 1185 642 1186 629 1186 635 1186 642 1187 635 1187 640 1187 642 1188 634 1188 629 1188 642 1189 640 1189 634 1189 643 1190 624 1190 626 1190 643 1191 639 1191 624 1191 644 1192 626 1192 639 1192 644 1193 639 1193 643 1193 644 1194 643 1194 626 1194 645 1195 627 1195 632 1195 645 1196 632 1196 636 1196 645 1197 636 1197 627 1197 646 1198 631 1198 640 1198 646 1199 640 1199 638 1199 646 1200 633 1200 631 1200 647 1201 638 1201 633 1201 647 1202 633 1202 646 1202 647 1203 646 1203 638 1203 648 1204 649 1204 650 1204 651 1205 649 1205 652 1205 653 1206 652 1206 648 1206 654 1207 651 1207 652 1207 654 1208 650 1208 651 1208 655 1209 648 1209 650 1209 655 1210 653 1210 648 1210 656 1211 657 1211 655 1211 656 1212 655 1212 650 1212 656 1213 650 1213 654 1213 658 1214 656 1214 654 1214 658 1215 657 1215 656 1215 658 1216 653 1216 659 1216 660 1217 653 1217 655 1217 661 1218 650 1218 649 1218 661 1219 649 1219 651 1219 661 1220 651 1220 650 1220 662 1221 652 1221 649 1221 662 1222 649 1222 648 1222 663 1223 654 1223 653 1223 663 1224 653 1224 658 1224 663 1225 658 1225 654 1225 664 1226 652 1226 653 1226 664 1227 653 1227 654 1227 664 1228 654 1228 652 1228 665 1229 659 1229 653 1229 665 1230 653 1230 660 1230 665 1231 660 1231 659 1231 666 1232 648 1232 652 1232 666 1233 652 1233 662 1233 667 1234 662 1234 648 1234 667 1235 648 1235 666 1235 667 1236 666 1236 662 1236 668 1237 659 1237 660 1237 668 1238 657 1238 658 1238 668 1239 658 1239 659 1239 669 1240 660 1240 655 1240 669 1241 668 1241 660 1241 669 1242 655 1242 657 1242 669 1243 657 1243 668 1243 670 1244 671 1244 672 1244 673 1245 674 1245 675 1245 676 1246 674 1246 673 1246 676 1247 671 1247 674 1247 677 1248 674 1248 671 1248 677 1249 671 1249 670 1249 678 1250 673 1250 675 1250 679 1251 672 1251 671 1251 680 1252 676 1252 673 1252 681 1253 671 1253 676 1253 682 1254 672 1254 679 1254 683 1255 670 1255 672 1255 684 1256 685 1256 675 1256 684 1257 675 1257 674 1257 686 1258 676 1258 680 1258 686 1259 681 1259 676 1259 687 1260 686 1260 680 1260 687 1261 673 1261 682 1261 687 1262 682 1262 688 1262 687 1263 680 1263 673 1263 689 1264 672 1264 682 1264 689 1265 682 1265 673 1265 689 1266 673 1266 678 1266 689 1267 678 1267 672 1267 690 1268 691 1268 692 1268 690 1269 685 1269 684 1269 690 1270 684 1270 691 1270 693 1271 681 1271 686 1271 693 1272 688 1272 682 1272 693 1273 682 1273 679 1273 693 1274 679 1274 671 1274 693 1275 671 1275 681 1275 694 1276 691 1276 684 1276 694 1277 684 1277 674 1277 695 1278 672 1278 678 1278 695 1279 678 1279 683 1279 695 1280 683 1280 672 1280 696 1281 677 1281 670 1281 696 1282 670 1282 692 1282 696 1283 692 1283 677 1283 697 1284 674 1284 691 1284 697 1285 691 1285 694 1285 697 1286 694 1286 674 1286 698 1287 690 1287 692 1287 698 1288 685 1288 690 1288 698 1289 670 1289 683 1289 698 1290 692 1290 670 1290 699 1291 674 1291 677 1291 699 1292 677 1292 692 1292 699 1293 691 1293 674 1293 699 1294 692 1294 691 1294 700 1295 688 1295 693 1295 700 1296 693 1296 686 1296 700 1297 686 1297 687 1297 700 1298 687 1298 688 1298 701 1299 685 1299 698 1299 701 1300 698 1300 683 1300 701 1301 683 1301 678 1301 701 1302 678 1302 675 1302 701 1303 675 1303 685 1303 702 1304 703 1304 704 1304 705 1305 706 1305 703 1305 707 1306 708 1306 704 1306 709 1307 703 1307 706 1307 710 1308 704 1308 703 1308 710 1309 707 1309 704 1309 711 1310 709 1310 706 1310 712 1311 706 1311 705 1311 712 1312 705 1312 713 1312 712 1313 714 1313 706 1313 715 1314 714 1314 712 1314 715 1315 712 1315 713 1315 716 1316 702 1316 704 1316 717 1317 718 1317 719 1317 717 1318 711 1318 706 1318 717 1319 706 1319 718 1319 720 1320 714 1320 715 1320 720 1321 708 1321 707 1321 720 1322 707 1322 714 1322 721 1323 705 1323 703 1323 722 1324 713 1324 705 1324 723 1325 711 1325 717 1325 723 1326 717 1326 719 1326 723 1327 709 1327 711 1327 724 1328 704 1328 708 1328 724 1329 716 1329 704 1329 725 1330 707 1330 719 1330 725 1331 719 1331 718 1331 725 1332 714 1332 707 1332 725 1333 706 1333 714 1333 725 1334 718 1334 706 1334 726 1335 707 1335 710 1335 727 1336 709 1336 723 1336 727 1337 723 1337 728 1337 727 1338 728 1338 710 1338 727 1339 703 1339 709 1339 727 1340 710 1340 703 1340 729 1341 715 1341 708 1341 729 1342 708 1342 720 1342 729 1343 720 1343 715 1343 730 1344 722 1344 705 1344 730 1345 702 1345 716 1345 730 1346 716 1346 722 1346 731 1347 710 1347 728 1347 731 1348 726 1348 710 1348 731 1349 719 1349 707 1349 731 1350 707 1350 726 1350 731 1351 728 1351 723 1351 731 1352 723 1352 719 1352 732 1353 702 1353 730 1353 732 1354 705 1354 721 1354 732 1355 730 1355 705 1355 732 1356 703 1356 702 1356 732 1357 721 1357 703 1357 733 1358 722 1358 716 1358 733 1359 716 1359 724 1359 733 1360 724 1360 708 1360 733 1361 713 1361 722 1361 733 1362 708 1362 715 1362 733 1363 715 1363 713 1363</p>
+ </triangles>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_visual_scenes>
+ <visual_scene id="VisualSceneNode" name="VisualScene">
+ <node id="node" name="node">
+ <instance_geometry url="#shape0-lib">
+ <bind_material>
+ <technique_common/>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#VisualSceneNode"/>
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/InvertedPendulum/InvertedPendulum.urdf b/ct_models/urdf/InvertedPendulum/InvertedPendulum.urdf
new file mode 100644
index 0000000..5b6abcb
--- /dev/null
+++ b/ct_models/urdf/InvertedPendulum/InvertedPendulum.urdf
@@ -0,0 +1,41 @@
+<robot name="InvertedPendulum">
+ <link name="InvertedPendulumBase">
+ <inertial>
+ <origin xyz="0 0 0"/>
+ <mass value="1.0"/>
+ <inertia ixx="0.0" ixy="0.0" ixz="0.0" iyy="0.0" iyz="0.0" izz="0.0"/>
+ </inertial>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <geometry>
+ <cylinder length="0.05" radius="0.03"/>
+ </geometry>
+ <material name="red">
+ <color rgba="0.8 0 0 1"/>
+ </material>
+ </visual>
+ </link>
+ <link name="Link1">
+ <inertial>
+ <origin xyz="0.0 0.0 0.5"/>
+ <mass value="1.0"/>
+ <inertia ixx="0.001" ixy="0.0" ixz="0.0" iyy="0.0005" iyz="0.0" izz="0.0005"/>
+ </inertial>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 0.5"/>
+ <geometry>
+ <cylinder length="1.0" radius="0.03"/>
+ </geometry>
+ <material name="blue">
+ <color rgba="0 0 .8 1"/>
+ </material>
+ </visual>
+ </link>
+ <joint name="Joint1" type="revolute">
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <parent link="InvertedPendulumBase"/>
+ <child link="Link1"/>
+ <axis xyz="1 0 0"/>
+ <limit effort="150.0" lower="-3.1416" upper="3.1416" velocity="12.0"/>
+ </joint>
+</robot>
diff --git a/ct_models/urdf/Irb4600/Irb4600.urdf b/ct_models/urdf/Irb4600/Irb4600.urdf
new file mode 100644
index 0000000..986b165
--- /dev/null
+++ b/ct_models/urdf/Irb4600/Irb4600.urdf
@@ -0,0 +1,59 @@
+<?xml version="1.0"?>
+<robot name="irb4600">
+ <link name="link_0"> </link>
+ <link name="link_1"> </link>
+ <link name="link_2"> </link>
+ <link name="link_3"> </link>
+ <link name="link_4"> </link>
+ <link name="link_5"> </link>
+ <link name="link_6"> </link>
+
+ <joint name="joint_1" type="revolute">
+ <parent link="link_0"/>
+ <child link="link_1"/>
+ <origin xyz="0 0 0" rpy="0 -0 0 "/>
+ <axis xyz="0 0 1"/>
+ <limit lower="-3.1416" upper="3.1416" effort="100000" velocity="2.618" />
+ <dynamics damping="0.2" friction="0" />
+ </joint>
+ <joint name="joint_2" type="revolute">
+ <parent link="link_1"/>
+ <child link="link_2"/>
+ <origin xyz="0.175 0 0.495" rpy="0 -0 0 "/>
+ <axis xyz="0 1 0"/>
+ <limit lower="-1.7453" upper="1.9199" effort="100000" velocity="2.618" />
+ <dynamics damping="0.2" friction="0" />
+ </joint>
+ <joint name="joint_3" type="revolute">
+ <parent link="link_2"/>
+ <child link="link_3"/>
+ <origin xyz="0 0 1.095" rpy="0 -0 0 "/>
+ <axis xyz="0 1 0"/>
+ <limit lower="-1.57" upper="1.57" effort="100000" velocity="2.618" />
+ <dynamics damping="0.2" friction="0" />
+ </joint>
+ <joint name="joint_4" type="revolute">
+ <parent link="link_3"/>
+ <child link="link_4"/>
+ <origin xyz="0.332 0 0.175" rpy="0 -0 0 "/>
+ <axis xyz="1 0 0"/>
+ <limit lower="-3.49" upper="3.49" effort="10000" velocity="6.2832" />
+ <dynamics damping="0.2" friction="0" />
+ </joint>
+ <joint name="joint_5" type="revolute">
+ <parent link="link_4"/>
+ <child link="link_5"/>
+ <origin xyz="0.939 0 0" rpy="0 -0 0 "/>
+ <axis xyz="0 1 0"/>
+ <limit lower="-2.044" upper="2.044" effort="100000" velocity="6.2832" />
+ <dynamics damping="0.2" friction="0" />
+ </joint>
+ <joint name="joint_6" type="revolute">
+ <parent link="link_5"/>
+ <child link="link_6"/>
+ <origin xyz="0.135 0 0" rpy="0 1.57076 0 "/>
+ <axis xyz="0 0 1"/>
+ <limit lower="-5.5" upper="5.5" effort="100000" velocity="7.854" />
+ <dynamics damping="0.2" friction="0" />
+ </joint>
+</robot>
diff --git a/ct_models/urdf/Quadrotor/quadrotor.urdf b/ct_models/urdf/Quadrotor/quadrotor.urdf
new file mode 100644
index 0000000..2dab78e
--- /dev/null
+++ b/ct_models/urdf/Quadrotor/quadrotor.urdf
@@ -0,0 +1,44 @@
+<?xml version="1.0" ?>
+
+<!-- adapted from Daniel Mellinger, Nathan Michael, Vijay Kumar, "Trajectory Generation and Control for Precise Aggressive Maneuvers with Quadrotors" -->
+
+<robot name="quadrotor">
+ <joint name="floating_base" type="fixed">
+ <origin rpy="0.0 0.0 0.0" xyz="0.0 0.0 0.0"/>
+ <parent link="base_footprint"/>
+ <child link="base_link"/>
+ </joint>
+ <link name="base_footprint">
+ <visual>
+ <geometry>
+ <cylinder length="0.01" radius="0.01" />
+ </geometry>
+ <material name="blue">
+ <color rbga="1 0 0 1"/>
+ </material>
+ </visual>
+ </link>
+ <link name="base_link">
+ <inertial>
+ <mass value="0.5"/>
+ <origin xyz="0 0 0"/>
+ <inertia ixx="0.0023" ixy="0.0" ixz="0.0" iyy="0.0023" iyz="0.0" izz="0.004"/>
+ </inertial>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/Quadrotor/quadrotor_base.dae" scale="0.1 0.1 0.1"/>
+ </geometry>
+ </visual>
+ <!-- note: the original hector quadrotor urdf had a (simplified, but still complex) collision mesh, too -->
+ <collision>
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <geometry>
+ <cylinder radius=".3" length=".1"/>
+ </geometry>
+ </collision>
+ </link>
+
+
+</robot>
+
diff --git a/ct_models/urdf/Quadrotor/quadrotor_base.dae b/ct_models/urdf/Quadrotor/quadrotor_base.dae
new file mode 100644
index 0000000..91f6121
--- /dev/null
+++ b/ct_models/urdf/Quadrotor/quadrotor_base.dae
@@ -0,0 +1,101 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
+<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1">
+ <asset>
+ <contributor>
+ <author>Assimp</author>
+ <authoring_tool>Assimp Exporter</authoring_tool>
+ </contributor>
+ <created>2015-06-18T16:52:52</created>
+ <modified>2015-06-18T16:52:52</modified>
+ <unit name="meter" meter="1" />
+ <up_axis>Y_UP</up_axis>
+ </asset>
+ <library_effects>
+ <effect id="m0DefaultMaterial-fx" name="m0DefaultMaterial">
+ <profile_COMMON>
+ <technique sid="standard">
+ <phong>
+ <emission>
+ <color sid="emission">0.1 0.1 0.1 1</color>
+ </emission>
+ <ambient>
+ <color sid="ambient">0.4 0.4 0.1 1</color>
+ </ambient>
+ <diffuse>
+ <color sid="diffuse">0.6 0.6 0.6 1</color>
+ </diffuse>
+ <specular>
+ <color sid="specular">0.1 0.1 0.1 1</color>
+ </specular>
+ <shininess>
+ <float sid="shininess">0</float>
+ </shininess>
+ <transparency>
+ <float sid="transparency">0.9</float>
+ </transparency>
+ <index_of_refraction>
+ <float sid="index_of_refraction">1</float>
+ </index_of_refraction>
+ </phong>
+ </technique>
+ </profile_COMMON>
+ </effect>
+ </library_effects>
+ <library_materials>
+ <material id="m0DefaultMaterial" name="m0DefaultMaterial">
+ <instance_effect url="#m0DefaultMaterial-fx"/>
+ </material>
+ </library_materials>
+ <library_geometries>
+ <geometry id="meshId0" name="meshId0_name" >
+ <mesh>
+ <source id="meshId0-positions" name="meshId0-positions">
+ <float_array id="meshId0-positions-array" count="900"> 0.561441 0 0 0.561441 0.081383 0 0.561441 0.07048 -0.040692 2.08452 0 0 2.08452 0.07048 -0.040692 2.08452 0.081383 0 0.561441 0.040692 -0.07048 2.08452 0.040692 -0.07048 0.561441 0 -0.081383 2.08452 0 -0.081383 0.561441 -0.040692 -0.07048 2.08452 -0.040692 -0.07048 0.561441 -0.07048 -0.040692 2.08452 -0.07048 -0.040692 0.561441 -0.081383 0 2.08452 -0.081383 0 0.561441 -0.07048 0.040692 2.08452 -0.07048 0.040692 0.561441 -0.040692 0.07048 2.08452 -0.040692 0.07048 0.561441 0 0.081383 2.08452 0 0.081383 0.561441 0.040692 0.07048 2.08452 0.040692 0.07048 0.561441 0.07048 0.040692 2.08452 0.07048 0.040692 2.96178 0 0.221851 2.88622 -0.379846 0.221851 1.96919 0 0.187186 1.96919 0 0.26206 2.67106 -0.701864 0.221851 2.34904 -0.91703 0.221851 1.9692 -0.992586 0.221851 1.58935 -0.91703 0.221851 1.26733 -0.701865 0.221851 1.05216 -0.379847 0.221851 0.976608 -0 0.221851 1.05216 0.379846 0.221852 1.26733 0.701864 0.221852 1.58935 0.91703 0.221852 1.96919 0.992586 0.221852 2.34904 0.91703 0.221852 2.67106 0.701864 0.221852 2.88622 0.379846 0.221852 -0 -1.96919 0.26206 0.379846 -2.88622 0.221852 0.701864 -2.67106 0.221852 -0 -1.96919 0.187186 0.91703 -2.34904 0.221852 0.992586 -1.96919 0.221852 0.91703 -1.58935 0.221852 0.701864 -1.26733 0.221852 0.379846 -1.05216 0.221852 -0 -0.976608 0.221851 -0.379847 -1.05216 0.221851 -0.701865 -1.26733 0.221851 -0.91703 -1.58935 0.221851 -0.992586 -1.96919 0.221851 -0.917031 -2.34904 0.221851 -0.701865 -2.67106 0.221851 -0.379847 -2.88622 0.221851 0 -2.96178 0.221851 -2.96178 0 0.221851 -2.88622 0.379847 0.221851 -1.96919 1e-06 0.187186 -1.96919 1e-06 0.26206 -2.67106 0.701865 0.221851 -2.34904 0.917031 0.221851 -1.96919 0.992587 0.221851 -1.58935 0.917031 0.221851 -1.26733 0.701865 0.221851 -1.05216 0.379847 0.221851 -0.976608 0 0.221851 -1.05216 -0.379846 0.221852 -1.26733 -0.701864 0.221852 -1.58935 -0.917029 0.221852 -1.96919 -0.992585 0.221852 -2.34904 -0.917029 0.221852 -2.67106 -0.701864 0.221852 -2.88622 -0.379846 0.221852 1e-06 1.96919 0.26206 -0.379845 2.88622 0.221852 -0.701863 2.67106 0.221852 1e-06 1.96919 0.187186 -0.917029 2.34904 0.221852 -0.992585 1.9692 0.221852 -0.917029 1.58935 0.221852 -0.701864 1.26733 0.221852 -0.379846 1.05216 0.221852 1e-06 0.976608 0.221851 0.379847 1.05216 0.221851 0.701865 1.26733 0.221851 0.917031 1.58935 0.221851 0.992587 1.96919 0.221851 0.917031 2.34904 0.221851 0.701866 2.67106 0.221851 0.379847 2.88622 0.221851 1e-06 2.96178 0.221851 0.823618 0.673869 -1.35009 0.823618 0.673869 -1.3662 0.823618 0.685264 -1.36148 -0.823618 0.685264 -1.36148 -0.823618 0.673869 -1.3662 -0.823618 0.673869 -1.35009 0.823618 0.689984 -1.35009 -0.823618 0.689984 -1.35009 0.823618 0.685264 -1.33869 -0.823618 0.685264 -1.33869 0.823618 0.673869 -1.33397 -0.823618 0.673869 -1.33397 0.823618 0.662474 -1.33869 -0.823618 0.662474 -1.33869 0.823618 0.657754 -1.35009 -0.823618 0.657754 -1.35009 0.823618 0.662474 -1.36148 -0.823618 0.662474 -1.36148 0.823617 -0.673869 -1.35009 0.823617 -0.673869 -1.3662 0.823617 -0.662474 -1.36148 -0.823618 -0.673869 -1.35009 -0.823618 -0.662474 -1.36148 -0.823618 -0.673869 -1.3662 0.823617 -0.657754 -1.35009 -0.823618 -0.657754 -1.35009 0.823617 -0.662474 -1.33869 -0.823618 -0.662474 -1.33869 0.823617 -0.673869 -1.33397 -0.823618 -0.673869 -1.33397 0.823617 -0.685264 -1.33869 -0.823618 -0.685264 -1.33869 0.823617 -0.689984 -1.35009 -0.823618 -0.689984 -1.35009 0.823617 -0.685264 -1.36148 -0.823618 -0.685264 -1.36148 0.673869 0.673869 -1.33276 0.673869 0.689984 -1.33276 0.685264 0.685264 -1.33276 0.299497 0.299497 -0.303241 0.310892 0.310892 -0.303241 0.299497 0.315612 -0.303241 0.689984 0.673869 -1.33276 0.315612 0.299497 -0.303241 0.685264 0.662474 -1.33276 0.310892 0.288102 -0.303241 0.673869 0.657754 -1.33276 0.299497 0.283382 -0.303241 0.662474 0.662474 -1.33276 0.288102 0.288102 -0.303241 0.657754 0.673869 -1.33276 0.283382 0.299497 -0.303241 0.662474 0.685264 -1.33276 0.288102 0.310892 -0.303241 0.299497 -0.299497 -0.303241 0.315612 -0.299497 -0.303241 0.310892 -0.288102 -0.303241 0.685264 -0.662474 -1.33276 0.689984 -0.673869 -1.33276 0.673869 -0.673869 -1.33276 0.299497 -0.283382 -0.303241 0.673869 -0.657754 -1.33276 0.288102 -0.288102 -0.303241 0.662474 -0.662474 -1.33276 0.283382 -0.299497 -0.303241 0.657754 -0.673869 -1.33276 0.288102 -0.310892 -0.303241 0.662474 -0.685264 -1.33276 0.299497 -0.315612 -0.303241 0.673869 -0.689984 -1.33276 0.310892 -0.310892 -0.303241 0.685264 -0.685264 -1.33276 -0.673869 -0.673869 -1.33276 -0.673869 -0.689984 -1.33276 -0.685264 -0.685264 -1.33276 -0.299497 -0.299497 -0.303241 -0.310892 -0.310892 -0.303241 -0.299497 -0.315612 -0.303241 -0.689984 -0.673869 -1.33276 -0.315612 -0.299497 -0.303241 -0.685264 -0.662474 -1.33276 -0.310892 -0.288102 -0.303241 -0.673869 -0.657754 -1.33276 -0.299497 -0.283382 -0.303241 -0.662474 -0.662474 -1.33276 -0.288102 -0.288102 -0.303241 -0.657754 -0.673869 -1.33276 -0.283382 -0.299497 -0.303241 -0.662474 -0.685264 -1.33276 -0.288102 -0.310892 -0.303241 -0.299497 0.299497 -0.303241 -0.315612 0.299497 -0.303241 -0.310892 0.288102 -0.303241 -0.685264 0.662474 -1.33276 -0.689984 0.673869 -1.33276 -0.673869 0.673869 -1.33276 -0.299497 0.283382 -0.303241 -0.673869 0.657754 -1.33276 -0.288102 0.288102 -0.303241 -0.662474 0.662474 -1.33276 -0.283382 0.299497 -0.303241 -0.657754 0.673869 -1.33276 -0.288102 0.310892 -0.303241 -0.662474 0.685264 -1.33276 -0.299497 0.315612 -0.303241 -0.673868 0.689984 -1.33276 -0.310892 0.310892 -0.303241 -0.685264 0.685264 -1.33276 0 -0.561441 0 0.081383 -0.561441 0 0.07048 -0.561441 -0.040692 -0 -2.08452 0 0.07048 -2.08452 -0.040692 0.081383 -2.08452 0 0.040692 -0.561441 -0.07048 0.040691 -2.08452 -0.07048 0 -0.561441 -0.081383 -0 -2.08452 -0.081383 -0.040692 -0.561441 -0.07048 -0.040692 -2.08452 -0.07048 -0.07048 -0.561441 -0.040692 -0.07048 -2.08452 -0.040692 -0.081383 -0.561441 0 -0.081384 -2.08452 0 -0.07048 -0.561441 0.040692 -0.07048 -2.08452 0.040692 -0.040692 -0.561441 0.07048 -0.040692 -2.08452 0.07048 -0 -0.561441 0.081383 -0 -2.08452 0.081383 0.040691 -0.561441 0.07048 0.040691 -2.08452 0.07048 0.07048 -0.561441 0.040692 0.07048 -2.08452 0.040692 -2.08452 1e-06 0 -2.08452 -0.081383 0 -2.08452 -0.070479 0.040692 -0.561441 0 0 -0.561441 -0.07048 0.040692 -0.561441 -0.081383 0 -2.08452 -0.040691 0.07048 -0.561441 -0.040691 0.07048 -2.08452 1e-06 0.081383 -0.561441 0 0.081383 -2.08452 0.040692 0.07048 -0.561441 0.040692 0.07048 -2.08452 0.070481 0.040692 -0.561441 0.07048 0.040692 -2.08452 0.081384 0 -0.561441 0.081383 0 -2.08452 0.07048 -0.040692 -0.561441 0.07048 -0.040692 -2.08452 0.040692 -0.07048 -0.561441 0.040692 -0.07048 -2.08452 0 -0.081383 -0.561441 0 -0.081383 -2.08452 -0.040691 -0.07048 -0.561441 -0.040691 -0.07048 -2.08452 -0.070479 -0.040692 -0.561441 -0.07048 -0.040692 0 0.561441 0 -0.081383 0.561441 0 -0.07048 0.561441 -0.040692 1e-06 2.08452 0 -0.070479 2.08452 -0.040692 -0.081382 2.08452 0 -0.040691 0.561441 -0.07048 -0.040691 2.08452 -0.07048 0 0.561441 -0.081383 1e-06 2.08452 -0.081383 0.040692 0.561441 -0.07048 0.040692 2.08452 -0.07048 0.07048 0.561441 -0.040692 0.070481 2.08452 -0.040692 0.081384 0.561441 0 0.081384 2.08452 0 0.07048 0.561441 0.040692 0.070481 2.08452 0.040692 0.040692 0.561441 0.07048 0.040693 2.08452 0.07048 0 0.561441 0.081383 1e-06 2.08452 0.081383 -0.040691 0.561441 0.07048 -0.040691 2.08452 0.07048 -0.07048 0.561441 0.040692 -0.070479 2.08452 0.040692 -0.561557 -0.336934 0.299497 -0.561557 0.336934 0.299497 -0.561557 -0.336934 -0.299497 -0.561557 0.336935 -0.299497 -0.336934 -0.561557 0.299497 -0.336934 -0.561557 -0.299497 0.561557 -0.336935 0.299497 0.336934 -0.561558 0.299497 0.336934 -0.561557 -0.299497 0.561557 -0.336934 -0.299497 0.561558 0.336934 0.299497 0.561557 0.336934 -0.299497 -0.336934 0.561557 0.299497 -0.336934 0.561558 -0.299497 0.336934 0.561557 -0.299497 0.336935 0.561557 0.299497 </float_array>
+ <technique_common>
+ <accessor count="300" offset="0" source="#meshId0-positions-array" stride="3">
+ <param name="X" type="float" />
+ <param name="Y" type="float" />
+ <param name="Z" type="float" />
+ </accessor>
+ </technique_common>
+ </source>
+ <source id="meshId0-normals" name="meshId0-normals">
+ <float_array id="meshId0-normals-array" count="900"> -12.5664 -8e-06 -0 -5.23598 6.06909 4e-06 -5.23599 5.25598 -3.03454 12.5664 0 0 5.23598 5.25598 -3.03454 5.23599 6.06909 4e-06 -5.23599 3.03455 -5.25598 5.23599 3.03455 -5.25598 -5.23599 1e-06 -6.06909 5.23598 5e-06 -6.06909 -5.23599 -3.03455 -5.25598 5.23599 -3.03455 -5.25598 -5.23599 -5.25601 -3.03455 5.23599 -5.25598 -3.03455 -5.23599 -6.0691 2e-06 5.23598 -6.0691 -1.1e-05 -5.23599 -5.25601 3.03455 5.23599 -5.25599 3.03454 -5.23599 -3.03455 5.25597 5.23599 -3.03455 5.25599 -5.23598 -3e-06 6.06909 5.23599 -4e-06 6.06909 -5.23599 3.03454 5.25599 5.23599 3.03454 5.25599 -5.23599 5.25598 3.03455 5.23599 5.25598 3.03455 0.414451 1e-06 -0.001035 0.382901 -0.158603 -0.001035 -0 3e-06 -12.5507 -0 -2e-06 12.5452 0.293061 -0.293061 -0.001034 0.158603 -0.382902 -0.001034 0 -0.41445 -0.001035 -0.158603 -0.382902 -0.001034 -0.293061 -0.293061 -0.001034 -0.382902 -0.158603 -0.001034 -0.414451 -0 -0.001035 -0.382902 0.158603 -0.001035 -0.293061 0.293061 -0.001035 -0.158603 0.382902 -0.001035 -0 0.41445 -0.001034 0.158603 0.382902 -0.001035 0.293061 0.293061 -0.001034 0.382902 0.158603 -0.001034 -3e-06 0 12.5452 0.158603 -0.382902 -0.001035 0.293061 -0.293061 -0.001035 3e-06 0 -12.5507 0.382902 -0.158603 -0.001034 0.41445 0 -0.001035 0.382902 0.158603 -0.001034 0.293061 0.293061 -0.001034 0.158603 0.382902 -0.001035 -0 0.414451 -0.001035 -0.158603 0.382902 -0.001035 -0.293061 0.293061 -0.001035 -0.382902 0.158603 -0.001034 -0.41445 0 -0.001035 -0.382902 -0.158603 -0.001034 -0.293061 -0.29306 -0.001035 -0.158603 -0.382901 -0.001035 1e-06 -0.414451 -0.001034 -0.414451 -0 -0.001035 -0.382901 0.158603 -0.001034 0 -3e-06 -12.5507 0 3e-06 12.5452 -0.29306 0.293061 -0.001034 -0.158603 0.382902 -0.001035 0 0.41445 -0.001035 0.158603 0.382902 -0.001035 0.293061 0.293061 -0.001034 0.382902 0.158603 -0.001034 0.414451 0 -0.001035 0.382902 -0.158603 -0.001034 0.293061 -0.293061 -0.001034 0.158603 -0.382902 -0.001034 0 -0.41445 -0.001034 -0.158603 -0.382902 -0.001034 -0.293061 -0.293061 -0.001034 -0.382902 -0.158603 -0.001035 3e-06 -0 12.5452 -0.158603 0.382902 -0.001035 -0.293061 0.293061 -0.001034 -3e-06 -0 -12.5507 -0.382902 0.158603 -0.001034 -0.41445 0 -0.001035 -0.382902 -0.158603 -0.001034 -0.293061 -0.293061 -0.001035 -0.158603 -0.382902 -0.001035 -0 -0.414451 -0.001034 0.158603 -0.382902 -0.001035 0.293061 -0.293061 -0.001034 0.382902 -0.158603 -0.001035 0.41445 -0 -0.001035 0.382902 0.158603 -0.001035 0.293061 0.29306 -0.001034 0.158603 0.382901 -0.001034 -0 0.414451 -0.001034 12.5664 0 0 4.71235 -1.8e-05 -5.80488 4.7124 4.10471 -4.10467 -4.71242 4.10471 -4.10469 -4.71235 2e-06 -5.80488 -12.5664 0 0 4.71238 5.8049 2.4e-05 -4.71237 5.80489 2e-06 4.7124 4.10468 4.1047 -4.7124 4.10468 4.1047 4.71239 7e-06 5.8049 -4.71238 -2e-06 5.8049 4.71237 -4.10469 4.10467 -4.71239 -4.10469 4.10467 4.7124 -5.80491 -2.4e-05 -4.7124 -5.80491 -2e-06 4.71242 -4.10472 -4.10467 -4.7124 -4.10472 -4.10467 12.5664 0 0 4.71236 -1e-06 -5.8049 4.71239 4.10473 -4.10466 -12.5664 0 0 -4.71244 4.10472 -4.10471 -4.71234 1.2e-05 -5.80489 4.71242 5.80493 4e-06 -4.71238 5.80491 -5.6e-05 4.71237 4.10469 4.10468 -4.71237 4.1047 4.10467 4.7124 -1e-05 5.80492 -4.7124 -1e-06 5.80492 4.71238 -4.1047 4.10468 -4.71238 -4.1047 4.10469 4.7124 -5.80492 -4e-06 -4.7124 -5.80492 4e-06 4.7124 -4.10472 -4.10468 -4.7124 -4.10473 -4.10467 0 0 -12.5664 0.355499 4.97216 -2.77503 3.29231 3.29231 -2.31801 0 0 12.5664 4.12274 4.12275 7.71078 -0.542897 5.96668 6.68466 4.97216 0.3555 -2.77503 5.96668 -0.542893 6.68466 4.49069 -3.56418 -4.37548 3.56418 -4.4907 4.37549 0.542895 -5.96668 -6.68469 -0.35548 -4.97216 2.77505 -4.12272 -4.12272 -7.71072 -3.2923 -3.29228 2.31799 -5.96668 0.542895 -6.68469 -4.97217 -0.355465 2.77506 -3.56419 4.49069 -4.37548 -4.4907 3.56418 4.37549 0 0 12.5664 5.96671 0.542897 6.68469 3.56418 4.4907 4.37547 4.4907 3.56416 -4.37545 4.97218 -0.355517 -2.77504 0 0 -12.5664 -0.355491 4.97216 2.77505 0.542888 5.96669 -6.6847 -3.2923 3.2923 2.318 -4.12274 4.12272 -7.71072 -4.97219 0.3555 2.77503 -5.9667 -0.542928 -6.68468 -4.4907 -3.56418 4.37546 -3.56418 -4.49071 -4.37548 -0.542871 -5.96669 6.68469 0.355491 -4.97216 -2.77504 4.12273 -4.12271 7.71074 3.2923 -3.2923 -2.318 0 0 -12.5664 -0.355509 -4.9722 -2.77506 -3.29229 -3.2923 -2.318 0 0 12.5664 -4.1227 -4.12273 7.71072 0.542906 -5.96671 6.6847 -4.97217 -0.355494 -2.77504 -5.96669 0.542908 6.68467 -4.49071 3.56419 -4.37547 -3.56417 4.49071 4.37547 -0.542894 5.96669 -6.68471 0.355498 4.97217 2.77504 4.12275 4.12274 -7.71071 3.2923 3.29228 2.31799 5.96672 -0.5429 -6.68473 4.97222 0.355505 2.77504 3.56414 -4.49069 -4.37543 4.49069 -3.56415 4.37544 0 0 12.5664 -5.96671 -0.542906 6.6847 -3.56414 -4.49071 4.37543 -4.4907 -3.56415 -4.37543 -4.97215 0.35553 -2.77504 0 0 -12.5664 0.355513 -4.9722 2.77504 -0.542903 -5.96671 -6.68472 3.29229 -3.2923 2.318 4.12273 -4.12276 -7.71072 4.97218 -0.355509 2.77505 5.96669 0.542908 -6.68468 4.49072 3.56416 4.37546 3.56417 4.4907 -4.37547 0.542909 5.96669 6.68469 -0.355461 4.97219 -2.77508 -4.12272 4.1227 7.71071 -3.29226 3.29233 -2.318 -8e-06 12.5664 -0 6.06909 5.23599 -0 5.25599 5.23599 -3.03454 0 -12.5664 0 5.25599 -5.23599 -3.03454 6.06909 -5.23599 4e-06 3.03455 5.23599 -5.25598 3.03455 -5.23599 -5.25598 3e-06 5.23599 -6.06909 4e-06 -5.23598 -6.06909 -3.03454 5.23599 -5.25598 -3.03454 -5.23599 -5.25598 -5.256 5.23599 -3.03455 -5.25598 -5.23599 -3.03455 -6.0691 5.23599 3e-06 -6.0691 -5.23599 -7e-06 -5.25601 5.23599 3.03455 -5.25599 -5.23599 3.03454 -3.03455 5.23599 5.25597 -3.03456 -5.23599 5.25599 -0 5.23599 6.06909 -8e-06 -5.23599 6.06909 3.03454 5.23599 5.25599 3.03454 -5.23599 5.25599 5.25598 5.23598 3.03455 5.25598 -5.23599 3.03455 -12.5664 0 0 -5.23599 -6.06909 4e-06 -5.23599 -5.25598 3.03455 12.5664 8e-06 -0 5.23598 -5.25598 3.03455 5.23599 -6.06909 -0 -5.23599 -3.03454 5.25599 5.23599 -3.03454 5.25599 -5.23599 8e-06 6.06909 5.23599 1e-06 6.06909 -5.23599 3.03456 5.25599 5.23599 3.03455 5.25597 -5.23599 5.25599 3.03454 5.23599 5.25601 3.03455 -5.23598 6.0691 -7e-06 5.23599 6.0691 3e-06 -5.23599 5.25598 -3.03455 5.23599 5.25601 -3.03455 -5.23599 3.03454 -5.25598 5.23599 3.03455 -5.25598 -5.23598 -4e-06 -6.06909 5.23599 -1e-06 -6.06909 -5.23599 -3.03455 -5.25598 5.23598 -3.03455 -5.25598 -5.23599 -5.25599 -3.03454 5.23599 -5.25599 -3.03454 8e-06 -12.5664 -0 -6.06909 -5.23599 -0 -5.25598 -5.23599 -3.03454 0 12.5664 0 -5.25598 5.23599 -3.03454 -6.06909 5.23599 8e-06 -3.03454 -5.23599 -5.25598 -3.03455 5.23599 -5.25598 -2e-06 -5.23599 -6.06909 -4e-06 5.23598 -6.06909 3.03455 -5.23599 -5.25598 3.03454 5.23599 -5.25598 5.25601 -5.23599 -3.03455 5.25598 5.23599 -3.03455 6.0691 -5.23599 -2e-06 6.0691 5.23598 -8e-06 5.25601 -5.23599 3.03455 5.25599 5.23599 3.03454 3.03455 -5.23599 5.25597 3.03456 5.23599 5.25599 0 -5.23599 6.06909 9e-06 5.23599 6.06909 -3.03454 -5.23599 5.25599 -3.03454 5.23599 5.25598 -5.25598 -5.23598 3.03455 -5.25598 5.23599 3.03455 -5.36303 -2.22144 4.71239 -5.36304 2.22144 4.71239 -5.36303 -2.22144 -4.71239 -5.36303 2.22144 -4.71239 -2.22144 -5.36303 4.71239 -2.22144 -5.36303 -4.71239 5.36303 -2.22144 4.71239 2.22144 -5.36303 4.71239 2.22144 -5.36303 -4.71239 5.36304 -2.22144 -4.71239 5.36303 2.22144 4.71239 5.36304 2.22144 -4.71239 -2.22144 5.36304 4.71239 -2.22144 5.36303 -4.71238 2.22144 5.36303 -4.71239 2.22144 5.36303 4.71239 </float_array>
+ <technique_common>
+ <accessor count="300" offset="0" source="#meshId0-normals-array" stride="3">
+ <param name="X" type="float" />
+ <param name="Y" type="float" />
+ <param name="Z" type="float" />
+ </accessor>
+ </technique_common>
+ </source>
+ <vertices id="meshId0-vertices">
+ <input semantic="POSITION" source="#meshId0-positions" />
+ <input semantic="NORMAL" source="#meshId0-normals" />
+ </vertices>
+ <polylist count="1080" material="defaultMaterial">
+ <input offset="0" semantic="VERTEX" source="#meshId0-vertices" />
+ <vcount>3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 </vcount>
+ <p>0 1 2 0 2 6 0 6 8 0 8 10 0 10 12 0 12 14 0 14 16 0 16 18 0 18 20 0 20 22 0 22 24 24 1 0 0 1 2 0 2 6 0 6 8 0 8 10 0 10 12 0 12 14 0 14 16 0 16 18 0 18 20 0 20 22 0 22 24 24 1 0 5 1 24 1 5 4 1 4 2 5 1 24 1 5 4 1 4 2 2 4 7 2 7 6 2 4 7 2 7 6 3 4 5 3 7 4 3 4 5 3 7 4 3 9 7 6 7 9 3 9 7 6 7 9 6 9 8 6 9 8 3 11 9 8 9 11 3 11 9 8 9 11 8 11 10 8 11 10 3 13 11 10 11 13 3 13 11 10 11 13 10 13 12 10 13 12 3 15 13 12 13 15 3 15 13 12 13 15 12 15 14 12 15 14 3 17 15 14 15 17 3 17 15 14 15 17 14 17 16 14 17 16 3 19 17 16 17 19 3 19 17 16 17 19 16 19 18 16 19 18 3 21 19 18 19 21 3 21 19 18 19 21 18 21 20 18 21 20 3 23 21 20 21 23 3 23 21 20 21 23 3 25 23 3 5 25 3 25 23 3 5 25 22 23 25 20 23 22 22 23 25 20 23 22 5 24 25 22 25 24 5 24 25 22 25 24 26 27 28 29 27 26 29 26 43 43 26 28 26 27 28 29 27 26 29 26 43 43 26 28 29 30 27 27 30 28 29 30 27 27 30 28 30 31 28 29 31 30 30 31 28 29 31 30 29 32 31 31 32 28 29 32 31 31 32 28 32 33 28 29 33 32 32 33 28 29 33 32 29 34 33 33 34 28 29 34 33 33 34 28 34 35 28 29 35 34 34 35 28 29 35 34 29 36 35 35 36 28 29 36 35 35 36 28 36 37 28 29 37 36 36 37 28 29 37 36 29 38 37 37 38 28 29 38 37 37 38 28 38 39 28 29 39 38 38 39 28 29 39 38 29 40 39 39 40 28 29 40 39 39 40 28 40 41 28 29 41 40 40 41 28 29 41 40 42 43 28 41 42 28 42 43 28 41 42 28 29 42 41 29 42 41 29 43 42 29 43 42 44 45 46 44 48 49 44 50 51 44 52 53 44 54 55 44 56 57 44 58 59 44 60 61 44 61 45 44 46 48 44 49 50 44 51 52 44 53 54 44 55 56 44 57 58 44 59 60 44 45 46 44 48 49 44 50 51 44 52 53 44 54 55 44 56 57 44 58 59 44 60 61 44 61 45 44 46 48 44 49 50 44 51 52 44 53 54 44 55 56 44 57 58 44 59 60 57 56 47 58 57 47 57 56 47 58 57 47 56 55 47 56 55 47 55 54 47 55 54 47 54 53 47 54 53 47 53 52 47 53 52 47 52 51 47 52 51 47 51 50 47 51 50 47 50 49 47 50 49 47 49 48 47 49 48 47 48 46 47 48 46 47 46 45 47 46 45 47 45 61 47 45 61 47 61 60 47 61 60 47 60 59 47 60 59 47 59 58 47 59 58 47 62 63 64 65 63 62 65 62 79 79 62 64 62 63 64 65 63 62 65 62 79 79 62 64 65 66 63 63 66 64 65 66 63 63 66 64 66 67 64 65 67 66 66 67 64 65 67 66 65 68 67 67 68 64 65 68 67 67 68 64 68 69 64 65 69 68 68 69 64 65 69 68 65 70 69 69 70 64 65 70 69 69 70 64 70 71 64 65 71 70 70 71 64 65 71 70 65 72 71 71 72 64 65 72 71 71 72 64 72 73 64 65 73 72 72 73 64 65 73 72 65 74 73 73 74 64 65 74 73 73 74 64 74 75 64 65 75 74 74 75 64 65 75 74 65 76 75 75 76 64 65 76 75 75 76 64 76 77 64 65 77 76 76 77 64 65 77 76 78 79 64 77 78 64 78 79 64 77 78 64 65 78 77 65 78 77 65 79 78 65 79 78 80 81 82 80 84 85 80 86 87 80 88 89 80 90 91 80 92 93 80 94 95 80 96 97 80 97 81 80 82 84 80 85 86 80 87 88 80 89 90 80 91 92 80 93 94 80 95 96 80 81 82 80 84 85 80 86 87 80 88 89 80 90 91 80 92 93 80 94 95 80 96 97 80 97 81 80 82 84 80 85 86 80 87 88 80 89 90 80 91 92 80 93 94 80 95 96 93 92 83 94 93 83 93 92 83 94 93 83 92 91 83 92 91 83 91 90 83 91 90 83 90 89 83 90 89 83 89 88 83 89 88 83 88 87 83 88 87 83 87 86 83 87 86 83 86 85 83 86 85 83 85 84 83 85 84 83 84 82 83 84 82 83 82 81 83 82 81 83 81 97 83 81 97 83 97 96 83 97 96 83 96 95 83 96 95 83 95 94 83 95 94 83 98 99 100 98 100 104 98 104 106 98 106 108 98 108 110 98 110 112 98 112 114 114 99 98 98 99 100 98 100 104 98 104 106 98 106 108 98 108 110 98 110 112 98 112 114 114 99 98 102 99 114 99 101 100 99 102 101 102 99 114 99 101 100 99 102 101 114 115 102 115 114 112 114 115 102 115 114 112 101 102 103 103 102 115 101 102 103 103 102 115 103 105 101 105 100 101 103 105 101 105 100 101 103 107 105 103 109 107 103 111 109 103 113 111 103 115 113 103 107 105 103 109 107 103 111 109 103 113 111 103 115 113 115 112 113 115 112 113 113 110 111 113 112 110 113 110 111 113 112 110 111 108 109 111 110 108 111 108 109 111 110 108 109 108 106 109 108 106 109 106 107 109 106 107 107 106 104 107 106 104 107 104 105 107 104 105 105 104 100 105 104 100 116 117 118 116 118 122 116 122 124 116 124 126 116 126 128 116 128 130 116 130 132 132 117 116 116 117 118 116 118 122 116 122 124 116 124 126 116 126 128 116 128 130 116 130 132 132 117 116 121 117 132 120 118 117 120 117 121 121 117 132 120 118 117 120 117 121 121 132 133 130 133 132 121 132 133 130 133 132 119 120 121 133 119 121 119 120 121 133 119 121 119 123 120 118 120 123 119 123 120 118 120 123 119 125 123 119 127 125 119 129 127 119 131 129 119 133 131 119 125 123 119 127 125 119 129 127 119 131 129 119 133 131 130 131 133 130 131 133 128 129 131 128 131 130 128 129 131 128 131 130 126 127 129 126 129 128 126 127 129 126 129 128 124 127 126 124 127 126 124 125 127 124 125 127 122 125 124 122 125 124 122 123 125 122 123 125 118 123 122 118 123 122 134 135 136 134 136 140 134 140 142 134 142 144 134 144 146 134 146 148 134 148 150 150 135 134 134 135 136 134 136 140 134 140 142 134 142 144 134 144 146 134 146 148 134 148 150 150 135 134 139 135 150 135 139 138 135 138 136 139 135 150 135 139 138 135 138 136 139 150 151 148 151 150 139 150 151 148 151 150 137 138 139 137 139 151 137 138 139 137 139 151 137 151 149 148 149 151 137 151 149 148 149 151 146 149 148 146 149 148 137 149 147 146 147 149 137 149 147 146 147 149 137 147 145 145 147 146 137 147 145 145 147 146 137 141 138 137 143 141 137 145 143 137 141 138 137 143 141 137 145 143 144 145 146 143 145 144 144 145 146 143 145 144 142 143 144 141 143 142 142 143 144 141 143 142 140 141 142 140 141 142 138 141 140 138 141 140 136 138 140 136 138 140 152 153 154 152 154 158 152 158 160 152 160 162 152 162 164 152 164 166 152 166 168 152 168 153 152 153 154 152 154 158 152 158 160 152 160 162 152 162 164 152 164 166 152 166 168 152 168 153 156 153 168 153 155 154 153 156 155 156 153 168 153 155 154 153 156 155 155 156 157 157 156 169 156 168 169 155 156 157 157 156 169 156 168 169 157 159 155 159 154 155 157 159 155 159 154 155 157 161 159 157 163 161 157 165 163 157 167 165 157 169 167 157 161 159 157 163 161 157 165 163 157 167 165 157 169 167 169 168 167 169 168 167 167 168 166 167 166 165 167 168 166 167 166 165 165 166 164 165 164 163 165 166 164 165 164 163 163 164 162 163 162 161 163 164 162 163 162 161 161 162 160 161 162 160 161 160 158 161 160 158 161 158 159 161 158 159 159 158 154 159 158 154 170 171 172 170 172 176 170 176 178 170 178 180 170 180 182 170 182 184 170 184 186 186 171 170 170 171 172 170 172 176 170 176 178 170 178 180 170 180 182 170 182 184 170 184 186 186 171 170 175 171 186 171 175 174 171 174 172 175 171 186 171 175 174 171 174 172 175 186 187 184 187 186 175 186 187 184 187 186 173 174 175 173 175 187 173 174 175 173 175 187 173 187 185 184 185 187 173 187 185 184 185 187 182 185 184 182 185 184 173 185 183 182 183 185 173 185 183 182 183 185 173 183 181 181 183 182 173 183 181 181 183 182 173 177 174 173 179 177 173 181 179 173 177 174 173 179 177 173 181 179 180 181 182 179 181 180 180 181 182 179 181 180 178 179 180 177 179 178 178 179 180 177 179 178 176 177 178 176 177 178 174 177 176 174 177 176 172 174 176 172 174 176 188 189 190 188 190 194 188 194 196 188 196 198 188 198 200 188 200 202 188 202 204 188 204 189 188 189 190 188 190 194 188 194 196 188 196 198 188 198 200 188 200 202 188 202 204 188 204 189 192 189 204 189 191 190 189 192 191 192 189 204 189 191 190 189 192 191 191 192 193 193 192 205 192 204 205 191 192 193 193 192 205 192 204 205 193 195 191 195 190 191 193 195 191 195 190 191 193 197 195 193 199 197 193 201 199 193 203 201 193 205 203 193 197 195 193 199 197 193 201 199 193 203 201 193 205 203 205 204 203 205 204 203 203 204 202 203 202 201 203 204 202 203 202 201 201 202 200 201 200 199 201 202 200 201 200 199 199 200 198 199 198 197 199 200 198 199 198 197 197 198 196 197 198 196 197 196 194 197 196 194 197 194 195 197 194 195 195 194 190 195 194 190 206 207 208 206 208 212 206 212 214 206 214 216 206 216 218 206 218 220 206 220 222 206 222 224 206 224 226 206 226 228 206 228 230 206 230 207 206 207 208 206 208 212 206 212 214 206 214 216 206 216 218 206 218 220 206 220 222 206 222 224 206 224 226 206 226 228 206 228 230 206 230 207 230 211 207 207 210 208 207 211 210 230 211 207 207 210 208 207 211 210 208 213 212 208 210 213 208 213 212 208 210 213 209 210 211 209 213 210 209 210 211 209 213 210 209 215 213 212 213 215 209 215 213 212 213 215 212 215 214 212 215 214 209 217 215 214 215 217 209 217 215 214 215 217 214 217 216 214 217 216 209 219 217 216 217 219 209 219 217 216 217 219 216 219 218 216 219 218 209 221 219 218 219 221 209 221 219 218 219 221 218 221 220 218 221 220 209 223 221 220 221 223 209 223 221 220 221 223 220 223 222 220 223 222 209 225 223 222 223 225 209 225 223 222 223 225 222 225 224 222 225 224 209 227 225 224 225 227 209 227 225 224 225 227 224 227 226 224 227 226 209 229 227 226 227 229 209 229 227 226 227 229 209 231 229 209 211 231 209 231 229 209 211 231 228 229 231 226 229 228 228 229 231 226 229 228 230 231 211 228 231 230 230 231 211 228 231 230 232 233 234 232 234 238 232 238 240 232 240 242 232 242 244 232 244 246 232 246 248 232 248 250 232 250 252 232 252 254 232 254 256 232 256 233 232 233 234 232 234 238 232 238 240 232 240 242 232 242 244 232 244 246 232 246 248 232 248 250 232 250 252 232 252 254 232 254 256 232 256 233 237 233 256 236 234 233 236 233 237 237 233 256 236 234 233 236 233 237 239 238 234 239 234 236 239 238 234 239 234 236 235 236 237 235 239 236 235 236 237 235 239 236 235 241 239 241 238 239 235 241 239 241 238 239 241 240 238 241 240 238 235 243 241 243 240 241 235 243 241 243 240 241 243 242 240 243 242 240 235 245 243 245 242 243 235 245 243 245 242 243 245 244 242 245 244 242 235 247 245 247 244 245 235 247 245 247 244 245 247 246 244 247 246 244 235 249 247 249 246 247 235 249 247 249 246 247 249 248 246 249 248 246 235 251 249 251 248 249 235 251 249 251 248 249 251 250 248 251 250 248 235 253 251 253 250 251 235 253 251 253 250 251 253 252 250 253 252 250 235 255 253 255 252 253 235 255 253 255 252 253 235 257 255 235 237 257 235 257 255 235 237 257 257 254 255 255 254 252 257 254 255 255 254 252 237 256 257 257 256 254 237 256 257 257 256 254 258 259 260 258 260 264 258 264 266 258 266 268 258 268 270 258 270 272 258 272 274 258 274 276 258 276 278 258 278 280 258 280 282 258 282 259 258 259 260 258 260 264 258 264 266 258 266 268 258 268 270 258 270 272 258 272 274 258 274 276 258 276 278 258 278 280 258 280 282 258 282 259 282 263 259 259 262 260 259 263 262 282 263 259 259 262 260 259 263 262 260 265 264 260 262 265 260 265 264 260 262 265 261 262 263 261 265 262 261 262 263 261 265 262 261 267 265 264 265 267 261 267 265 264 265 267 264 267 266 264 267 266 261 269 267 266 267 269 261 269 267 266 267 269 266 269 268 266 269 268 261 271 269 268 269 271 261 271 269 268 269 271 268 271 270 268 271 270 261 273 271 270 271 273 261 273 271 270 271 273 270 273 272 270 273 272 261 275 273 272 273 275 261 275 273 272 273 275 272 275 274 272 275 274 261 277 275 274 275 277 261 277 275 274 275 277 274 277 276 274 277 276 261 279 277 276 277 279 261 279 277 276 277 279 276 279 278 276 279 278 261 281 279 278 279 281 261 281 279 278 279 281 261 283 281 261 263 283 261 283 281 261 263 283 280 281 283 278 281 280 280 281 283 278 281 280 282 283 263 280 283 282 282 283 263 280 283 282 284 285 286 288 284 286 284 288 290 285 284 290 284 285 286 288 284 286 284 288 290 285 284 290 285 287 286 285 290 294 285 296 287 296 285 299 285 294 299 285 287 286 285 290 294 285 296 287 296 285 299 285 294 299 295 286 287 296 297 287 298 295 287 298 287 297 295 286 287 296 297 287 298 295 287 298 287 297 298 297 296 298 297 296 299 298 296 299 298 296 295 298 299 295 299 294 295 298 299 295 299 294 294 293 295 295 293 286 294 293 295 295 293 286 294 290 293 294 290 293 290 291 292 290 292 293 288 291 290 290 291 292 290 292 293 288 291 290 293 292 289 293 289 286 293 292 289 293 289 286 292 291 288 292 288 289 292 291 288 292 288 289 288 286 289 288 286 289 </p>
+ </polylist>
+ </mesh>
+ </geometry>
+ </library_geometries>
+ <library_visual_scenes>
+ <visual_scene id="quadrotor_base.obj" name="quadrotor_base.obj">
+ <node id="defaultobject" name="defaultobject">
+ <matrix>1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1</matrix>
+ <instance_geometry url="#meshId0">
+ <bind_material>
+ <technique_common>
+ <instance_material symbol="defaultMaterial" target="#m0DefaultMaterial" />
+ </technique_common>
+ </bind_material>
+ </instance_geometry>
+ </node>
+ </visual_scene>
+ </library_visual_scenes>
+ <scene>
+ <instance_visual_scene url="#quadrotor_base.obj" />
+ </scene>
+</COLLADA>
diff --git a/ct_models/urdf/Quadrotor/quadrotor_base.obj b/ct_models/urdf/Quadrotor/quadrotor_base.obj
new file mode 100644
index 0000000..dc5129f
--- /dev/null
+++ b/ct_models/urdf/Quadrotor/quadrotor_base.obj
@@ -0,0 +1,1696 @@
+####
+#
+# OBJ File Generated by Meshlab
+#
+####
+# Object quadrotor_base.obj
+#
+# Vertices: 300
+# Faces: 1080
+#
+####
+vn 4.712352 -0.000018 -5.804880
+v 0.823618 0.673869 -1.366201
+vn -4.712348 0.000002 -5.804878
+v -0.823618 0.673869 -1.366201
+vn -4.712421 4.104710 -4.104690
+v -0.823618 0.685264 -1.361481
+vn 4.712396 4.104707 -4.104671
+v 0.823618 0.685264 -1.361481
+vn -4.712366 5.804888 0.000002
+v -0.823618 0.689984 -1.350086
+vn 4.712383 5.804898 0.000024
+v 0.823618 0.689984 -1.350086
+vn -4.712404 4.104681 4.104702
+v -0.823618 0.685264 -1.338691
+vn 4.712404 4.104684 4.104700
+v 0.823618 0.685264 -1.338691
+vn -4.712383 -0.000002 5.804899
+v -0.823618 0.673869 -1.333971
+vn 4.712387 0.000007 5.804901
+v 0.823618 0.673869 -1.333971
+vn -4.712386 -4.104694 4.104674
+v -0.823618 0.662474 -1.338691
+vn 4.712373 -4.104692 4.104666
+v 0.823618 0.662474 -1.338691
+vn -4.712401 -5.804910 -0.000002
+v -0.823618 0.657754 -1.350086
+vn 4.712401 -5.804910 -0.000024
+v 0.823618 0.657754 -1.350086
+vn -4.712403 -4.104718 -4.104666
+v -0.823618 0.662474 -1.361481
+vn 4.712417 -4.104721 -4.104674
+v 0.823618 0.662474 -1.361481
+vn 12.566370 0.000000 0.000000
+v 0.823618 0.673869 -1.350086
+vn -12.566372 0.000000 0.000000
+v -0.823618 0.673869 -1.350086
+vn 12.566370 0.000000 0.000000
+v 0.823617 -0.673869 -1.350086
+vn 4.712387 4.104727 -4.104664
+v 0.823617 -0.662474 -1.361481
+vn 4.712359 -0.000001 -5.804899
+v 0.823617 -0.673869 -1.366201
+vn -12.566370 0.000000 0.000000
+v -0.823618 -0.673869 -1.350086
+vn -4.712344 0.000012 -5.804890
+v -0.823618 -0.673869 -1.366201
+vn -4.712438 4.104721 -4.104712
+v -0.823618 -0.662474 -1.361481
+vn 4.712419 5.804935 0.000004
+v 0.823617 -0.657754 -1.350086
+vn -4.712384 5.804914 -0.000056
+v -0.823618 -0.657754 -1.350086
+vn 4.712369 4.104695 4.104680
+v 0.823617 -0.662474 -1.338691
+vn -4.712369 4.104702 4.104674
+v -0.823618 -0.662474 -1.338691
+vn 4.712395 -0.000010 5.804920
+v 0.823617 -0.673869 -1.333971
+vn -4.712395 -0.000001 5.804920
+v -0.823618 -0.673869 -1.333971
+vn 4.712382 -4.104702 4.104685
+v 0.823617 -0.685264 -1.338691
+vn -4.712382 -4.104696 4.104691
+v -0.823618 -0.685264 -1.338691
+vn 4.712401 -5.804924 -0.000004
+v 0.823617 -0.689984 -1.350086
+vn -4.712401 -5.804924 0.000004
+v -0.823618 -0.689984 -1.350086
+vn 4.712399 -4.104721 -4.104680
+v 0.823617 -0.685264 -1.361481
+vn -4.712399 -4.104727 -4.104674
+v -0.823618 -0.685264 -1.361481
+vn -5.235984 6.069087 0.000004
+v 0.561441 0.081383 0.000000
+vn -5.235989 5.255984 -3.034544
+v 0.561441 0.070480 -0.040692
+vn -5.235989 3.034546 -5.255983
+v 0.561441 0.040692 -0.070480
+vn -5.235986 0.000001 -6.069088
+v 0.561441 0.000000 -0.081383
+vn -5.235989 -3.034547 -5.255976
+v 0.561441 -0.040692 -0.070480
+vn -5.235989 -5.256006 -3.034549
+v 0.561441 -0.070480 -0.040692
+vn -5.235986 -6.069103 0.000002
+v 0.561441 -0.081383 0.000000
+vn -5.235991 -5.256007 3.034550
+v 0.561441 -0.070480 0.040692
+vn -5.235989 -3.034554 5.255973
+v 0.561441 -0.040692 0.070480
+vn -5.235984 -0.000003 6.069086
+v 0.561441 0.000000 0.081383
+vn -5.235991 3.034543 5.255986
+v 0.561441 0.040692 0.070480
+vn -5.235989 5.255980 3.034551
+v 0.561441 0.070480 0.040692
+vn 5.235987 6.069087 0.000004
+v 2.084521 0.081383 0.000000
+vn 5.235984 5.255982 -3.034545
+v 2.084521 0.070480 -0.040692
+vn 5.235995 3.034549 -5.255984
+v 2.084521 0.040692 -0.070480
+vn 5.235981 0.000005 -6.069085
+v 2.084521 0.000000 -0.081383
+vn 5.235990 -3.034547 -5.255983
+v 2.084521 -0.040692 -0.070480
+vn 5.235993 -5.255982 -3.034551
+v 2.084521 -0.070480 -0.040692
+vn 5.235984 -6.069095 -0.000011
+v 2.084521 -0.081383 0.000000
+vn 5.235989 -5.255995 3.034542
+v 2.084521 -0.070480 0.040692
+vn 5.235988 -3.034554 5.255987
+v 2.084521 -0.040692 0.070480
+vn 5.235987 -0.000004 6.069088
+v 2.084521 0.000000 0.081383
+vn 5.235989 3.034540 5.255986
+v 2.084521 0.040692 0.070480
+vn 5.235988 5.255981 3.034548
+v 2.084521 0.070480 0.040692
+vn -12.566370 -0.000008 -0.000000
+v 0.561441 0.000000 0.000000
+vn 12.566370 0.000000 0.000000
+v 2.084521 0.000000 0.000000
+vn 0.355499 4.972161 -2.775034
+v 0.673869 0.689984 -1.332763
+vn 3.292306 3.292306 -2.318008
+v 0.685264 0.685264 -1.332763
+vn 4.972162 0.355500 -2.775033
+v 0.689984 0.673869 -1.332763
+vn 4.490691 -3.564183 -4.375483
+v 0.685264 0.662474 -1.332763
+vn 0.542895 -5.966685 -6.684689
+v 0.673869 0.657754 -1.332763
+vn -4.122719 -4.122719 -7.710718
+v 0.662474 0.662474 -1.332763
+vn -5.966685 0.542895 -6.684690
+v 0.657754 0.673869 -1.332763
+vn -3.564185 4.490689 -4.375484
+v 0.662474 0.685264 -1.332763
+vn -0.542897 5.966677 6.684656
+v 0.299497 0.315612 -0.303241
+vn 4.122744 4.122751 7.710777
+v 0.310892 0.310892 -0.303241
+vn 5.966676 -0.542893 6.684656
+v 0.315612 0.299497 -0.303241
+vn 3.564179 -4.490701 4.375489
+v 0.310892 0.288102 -0.303241
+vn -0.355480 -4.972164 2.775051
+v 0.299497 0.283382 -0.303241
+vn -3.292296 -3.292280 2.317987
+v 0.288102 0.288102 -0.303241
+vn -4.972173 -0.355465 2.775058
+v 0.283382 0.299497 -0.303241
+vn -4.490700 3.564181 4.375489
+v 0.288102 0.310892 -0.303241
+vn 0.000000 0.000000 -12.566372
+v 0.673869 0.673869 -1.332763
+vn 0.000000 0.000000 12.566369
+v 0.299497 0.299497 -0.303241
+vn 5.966708 0.542897 6.684694
+v 0.315612 -0.299497 -0.303241
+vn 4.972180 -0.355517 -2.775037
+v 0.689984 -0.673869 -1.332763
+vn 4.490703 3.564161 -4.375446
+v 0.685264 -0.662474 -1.332763
+vn 3.564178 4.490701 4.375466
+v 0.310892 -0.288102 -0.303241
+vn 0.542888 5.966686 -6.684695
+v 0.673869 -0.657754 -1.332763
+vn -0.355491 4.972161 2.775047
+v 0.299497 -0.283382 -0.303241
+vn -4.122740 4.122723 -7.710721
+v 0.662474 -0.662474 -1.332763
+vn -3.292300 3.292297 2.318002
+v 0.288102 -0.288102 -0.303241
+vn -5.966705 -0.542928 -6.684684
+v 0.657754 -0.673869 -1.332763
+vn -4.972191 0.355500 2.775033
+v 0.283382 -0.299497 -0.303241
+vn -3.564183 -4.490709 -4.375484
+v 0.662474 -0.685264 -1.332763
+vn -4.490696 -3.564181 4.375465
+v 0.288102 -0.310892 -0.303241
+vn 0.355491 -4.972157 -2.775042
+v 0.673869 -0.689984 -1.332763
+vn -0.542871 -5.966687 6.684691
+v 0.299497 -0.315612 -0.303241
+vn 3.292302 -3.292305 -2.318004
+v 0.685264 -0.685264 -1.332763
+vn 4.122734 -4.122715 7.710742
+v 0.310892 -0.310892 -0.303241
+vn 0.000000 0.000000 12.566369
+v 0.299497 -0.299497 -0.303241
+vn 0.000000 0.000000 -12.566370
+v 0.673869 -0.673869 -1.332763
+vn 0.000000 0.000000 -12.566370
+v -0.673869 -0.673869 -1.332763
+vn -3.292290 -3.292300 -2.317995
+v -0.685264 -0.685264 -1.332763
+vn -0.355509 -4.972198 -2.775056
+v -0.673869 -0.689984 -1.332763
+vn 0.000000 0.000000 12.566370
+v -0.299497 -0.299497 -0.303241
+vn 0.542906 -5.966710 6.684697
+v -0.299497 -0.315612 -0.303241
+vn -4.122705 -4.122732 7.710721
+v -0.310892 -0.310892 -0.303241
+vn -4.972171 -0.355494 -2.775043
+v -0.689984 -0.673869 -1.332763
+vn -5.966691 0.542908 6.684670
+v -0.315612 -0.299497 -0.303241
+vn -4.490705 3.564189 -4.375466
+v -0.685264 -0.662474 -1.332763
+vn -3.564171 4.490714 4.375473
+v -0.310892 -0.288102 -0.303241
+vn -0.542894 5.966691 -6.684712
+v -0.673869 -0.657754 -1.332763
+vn 0.355498 4.972172 2.775045
+v -0.299497 -0.283382 -0.303241
+vn 4.122747 4.122738 -7.710707
+v -0.662474 -0.662474 -1.332763
+vn 3.292301 3.292283 2.317991
+v -0.288102 -0.288102 -0.303241
+vn 5.966716 -0.542900 -6.684727
+v -0.657754 -0.673869 -1.332763
+vn 4.972217 0.355505 2.775045
+v -0.283382 -0.299497 -0.303241
+vn 3.564143 -4.490687 -4.375431
+v -0.662474 -0.685264 -1.332763
+vn 4.490695 -3.564148 4.375445
+v -0.288102 -0.310892 -0.303241
+vn -5.966710 -0.542906 6.684696
+v -0.315612 0.299497 -0.303241
+vn -4.972151 0.355530 -2.775038
+v -0.689984 0.673869 -1.332763
+vn -4.490701 -3.564152 -4.375435
+v -0.685264 0.662474 -1.332763
+vn -3.564142 -4.490708 4.375428
+v -0.310892 0.288102 -0.303241
+vn -0.542903 -5.966713 -6.684718
+v -0.673869 0.657754 -1.332763
+vn 0.355513 -4.972204 2.775044
+v -0.299497 0.283382 -0.303241
+vn 4.122728 -4.122761 -7.710725
+v -0.662474 0.662474 -1.332763
+vn 3.292291 -3.292302 2.317997
+v -0.288102 0.288102 -0.303241
+vn 5.966693 0.542908 -6.684679
+v -0.657754 0.673869 -1.332763
+vn 4.972177 -0.355509 2.775049
+v -0.283382 0.299497 -0.303241
+vn 3.564167 4.490698 -4.375471
+v -0.662474 0.685264 -1.332763
+vn 4.490724 3.564162 4.375457
+v -0.288102 0.310892 -0.303241
+vn -0.355461 4.972190 -2.775077
+v -0.673868 0.689984 -1.332763
+vn 0.542909 5.966693 6.684693
+v -0.299497 0.315612 -0.303241
+vn -3.292262 3.292327 -2.317995
+v -0.685264 0.685264 -1.332763
+vn -4.122717 4.122703 7.710712
+v -0.310892 0.310892 -0.303241
+vn 0.000000 0.000000 12.566369
+v -0.299497 0.299497 -0.303241
+vn 0.000000 0.000000 -12.566371
+v -0.673869 0.673869 -1.332763
+vn -0.000000 0.000003 -12.550662
+v 1.969194 0.000000 0.187186
+vn 0.382901 -0.158603 -0.001035
+v 2.886225 -0.379846 0.221851
+vn 0.293061 -0.293061 -0.001034
+v 2.671059 -0.701864 0.221851
+vn -0.000000 -0.000002 12.545240
+v 1.969194 0.000000 0.262060
+vn 0.158603 -0.382902 -0.001034
+v 2.349041 -0.917030 0.221851
+vn 0.000000 -0.414450 -0.001035
+v 1.969195 -0.992586 0.221851
+vn -0.158603 -0.382902 -0.001034
+v 1.589348 -0.917030 0.221851
+vn -0.293061 -0.293061 -0.001034
+v 1.267330 -0.701865 0.221851
+vn -0.382902 -0.158603 -0.001034
+v 1.052164 -0.379847 0.221851
+vn -0.414451 -0.000000 -0.001035
+v 0.976608 -0.000000 0.221851
+vn -0.382902 0.158603 -0.001035
+v 1.052164 0.379846 0.221852
+vn -0.293061 0.293061 -0.001035
+v 1.267330 0.701864 0.221852
+vn -0.158603 0.382902 -0.001035
+v 1.589348 0.917030 0.221852
+vn -0.000000 0.414450 -0.001034
+v 1.969194 0.992586 0.221852
+vn 0.158603 0.382902 -0.001035
+v 2.349040 0.917030 0.221852
+vn 0.293061 0.293061 -0.001034
+v 2.671058 0.701864 0.221852
+vn 0.382902 0.158603 -0.001034
+v 2.886224 0.379846 0.221852
+vn 0.414451 0.000001 -0.001035
+v 2.961780 0.000000 0.221851
+vn -0.000008 12.566368 -0.000000
+v 0.000000 -0.561441 0.000000
+vn 6.069087 5.235987 -0.000000
+v 0.081383 -0.561441 0.000000
+vn 5.255986 5.235990 -3.034542
+v 0.070480 -0.561441 -0.040692
+vn 0.000000 -12.566371 0.000000
+v -0.000000 -2.084521 0.000000
+vn 5.255986 -5.235988 -3.034540
+v 0.070480 -2.084521 -0.040692
+vn 6.069087 -5.235988 0.000004
+v 0.081383 -2.084521 0.000000
+vn 3.034549 5.235987 -5.255981
+v 0.040692 -0.561441 -0.070480
+vn 3.034550 -5.235990 -5.255981
+v 0.040691 -2.084521 -0.070480
+vn 0.000003 5.235986 -6.069087
+v 0.000000 -0.561441 -0.081383
+vn 0.000004 -5.235984 -6.069086
+v -0.000000 -2.084521 -0.081383
+vn -3.034544 5.235990 -5.255979
+v -0.040692 -0.561441 -0.070480
+vn -3.034543 -5.235991 -5.255985
+v -0.040692 -2.084521 -0.070480
+vn -5.256004 5.235986 -3.034550
+v -0.070480 -0.561441 -0.040692
+vn -5.255981 -5.235989 -3.034549
+v -0.070480 -2.084521 -0.040692
+vn -6.069103 5.235987 0.000003
+v -0.081383 -0.561441 0.000000
+vn -6.069096 -5.235986 -0.000007
+v -0.081384 -2.084521 0.000000
+vn -5.256007 5.235991 3.034549
+v -0.070480 -0.561441 0.040692
+vn -5.255994 -5.235988 3.034542
+v -0.070480 -2.084521 0.040692
+vn -3.034551 5.235987 5.255974
+v -0.040692 -0.561441 0.070480
+vn -3.034557 -5.235989 5.255986
+v -0.040692 -2.084521 0.070480
+vn -0.000000 5.235986 6.069087
+v -0.000000 -0.561441 0.081383
+vn -0.000008 -5.235987 6.069087
+v -0.000000 -2.084521 0.081383
+vn 3.034541 5.235992 5.255988
+v 0.040691 -0.561441 0.070480
+vn 3.034538 -5.235988 5.255987
+v 0.040691 -2.084521 0.070480
+vn 5.255979 5.235983 3.034549
+v 0.070480 -0.561441 0.040692
+vn 5.255981 -5.235987 3.034548
+v 0.070480 -2.084521 0.040692
+vn 0.158603 -0.382902 -0.001035
+v 0.379846 -2.886224 0.221852
+vn 0.000003 0.000000 -12.550662
+v -0.000000 -1.969194 0.187186
+vn 0.000001 -0.414451 -0.001034
+v 0.000000 -2.961780 0.221851
+vn -0.000003 0.000000 12.545240
+v -0.000000 -1.969194 0.262060
+vn 0.293061 -0.293061 -0.001035
+v 0.701864 -2.671058 0.221852
+vn 0.382902 -0.158603 -0.001034
+v 0.917030 -2.349040 0.221852
+vn 0.414450 0.000000 -0.001035
+v 0.992586 -1.969194 0.221852
+vn 0.382902 0.158603 -0.001034
+v 0.917030 -1.589348 0.221852
+vn 0.293061 0.293061 -0.001034
+v 0.701864 -1.267330 0.221852
+vn 0.158603 0.382902 -0.001035
+v 0.379846 -1.052164 0.221852
+vn -0.000000 0.414451 -0.001035
+v -0.000000 -0.976608 0.221851
+vn -0.158603 0.382902 -0.001035
+v -0.379847 -1.052164 0.221851
+vn -0.293061 0.293061 -0.001035
+v -0.701865 -1.267330 0.221851
+vn -0.382902 0.158603 -0.001034
+v -0.917030 -1.589348 0.221851
+vn -0.414450 0.000000 -0.001035
+v -0.992586 -1.969194 0.221851
+vn -0.382902 -0.158603 -0.001034
+v -0.917031 -2.349040 0.221851
+vn -0.293061 -0.293060 -0.001035
+v -0.701865 -2.671059 0.221851
+vn -0.158603 -0.382901 -0.001035
+v -0.379847 -2.886225 0.221851
+vn -0.414451 -0.000000 -0.001035
+v -2.961780 0.000000 0.221851
+vn -0.382901 0.158603 -0.001034
+v -2.886225 0.379847 0.221851
+vn 0.000000 -0.000003 -12.550660
+v -1.969194 0.000001 0.187186
+vn 0.000000 0.000003 12.545241
+v -1.969194 0.000001 0.262060
+vn -0.293060 0.293061 -0.001034
+v -2.671059 0.701865 0.221851
+vn -0.158603 0.382902 -0.001035
+v -2.349040 0.917031 0.221851
+vn 0.000000 0.414450 -0.001035
+v -1.969194 0.992587 0.221851
+vn 0.158603 0.382902 -0.001035
+v -1.589348 0.917031 0.221851
+vn 0.293061 0.293061 -0.001034
+v -1.267330 0.701865 0.221851
+vn 0.382902 0.158603 -0.001034
+v -1.052164 0.379847 0.221851
+vn 0.414451 0.000000 -0.001035
+v -0.976608 0.000000 0.221851
+vn 0.382902 -0.158603 -0.001034
+v -1.052164 -0.379846 0.221852
+vn 0.293061 -0.293061 -0.001034
+v -1.267330 -0.701864 0.221852
+vn 0.158603 -0.382902 -0.001034
+v -1.589348 -0.917029 0.221852
+vn 0.000000 -0.414450 -0.001034
+v -1.969194 -0.992585 0.221852
+vn -0.158603 -0.382902 -0.001034
+v -2.349041 -0.917029 0.221852
+vn -0.293061 -0.293061 -0.001034
+v -2.671058 -0.701864 0.221852
+vn -0.382902 -0.158603 -0.001035
+v -2.886224 -0.379846 0.221852
+vn 5.235981 -5.255978 3.034548
+v -0.561441 -0.070480 0.040692
+vn 5.235986 -6.069087 -0.000000
+v -0.561441 -0.081383 0.000000
+vn -5.235989 -6.069088 0.000004
+v -2.084521 -0.081383 0.000000
+vn -5.235990 -5.255980 3.034549
+v -2.084521 -0.070479 0.040692
+vn 5.235992 -3.034540 5.255989
+v -0.561441 -0.040691 0.070480
+vn -5.235989 -3.034539 5.255987
+v -2.084521 -0.040691 0.070480
+vn 5.235986 0.000001 6.069087
+v -0.561441 0.000000 0.081383
+vn -5.235987 0.000008 6.069087
+v -2.084521 0.000001 0.081383
+vn 5.235988 3.034551 5.255973
+v -0.561441 0.040692 0.070480
+vn -5.235989 3.034557 5.255987
+v -2.084521 0.040692 0.070480
+vn 5.235992 5.256007 3.034549
+v -0.561441 0.070480 0.040692
+vn -5.235987 5.255994 3.034543
+v -2.084521 0.070481 0.040692
+vn 5.235989 6.069104 0.000003
+v -0.561441 0.081383 0.000000
+vn -5.235985 6.069095 -0.000007
+v -2.084521 0.081384 0.000000
+vn 5.235990 5.256006 -3.034548
+v -0.561441 0.070480 -0.040692
+vn -5.235988 5.255981 -3.034549
+v -2.084521 0.070480 -0.040692
+vn 5.235989 3.034546 -5.255977
+v -0.561441 0.040692 -0.070480
+vn -5.235990 3.034543 -5.255985
+v -2.084521 0.040692 -0.070480
+vn 5.235987 -0.000001 -6.069087
+v -0.561441 0.000000 -0.081383
+vn -5.235984 -0.000004 -6.069086
+v -2.084521 0.000000 -0.081383
+vn 5.235985 -3.034547 -5.255981
+v -0.561441 -0.040691 -0.070480
+vn -5.235991 -3.034550 -5.255980
+v -2.084521 -0.040691 -0.070480
+vn 5.235989 -5.255986 -3.034541
+v -0.561441 -0.070480 -0.040692
+vn -5.235990 -5.255986 -3.034541
+v -2.084521 -0.070479 -0.040692
+vn -12.566370 0.000000 0.000000
+v -2.084521 0.000001 0.000000
+vn 12.566370 0.000008 -0.000000
+v -0.561441 0.000000 0.000000
+vn 0.000008 -12.566371 -0.000000
+v 0.000000 0.561441 0.000000
+vn -6.069087 -5.235986 -0.000000
+v -0.081383 0.561441 0.000000
+vn -5.255983 -5.235986 -3.034544
+v -0.070480 0.561441 -0.040692
+vn 0.000000 12.566370 0.000000
+v 0.000001 2.084521 0.000000
+vn -5.255984 5.235989 -3.034543
+v -0.070479 2.084521 -0.040692
+vn -6.069086 5.235986 0.000008
+v -0.081382 2.084521 0.000000
+vn -3.034545 -5.235988 -5.255983
+v -0.040691 0.561441 -0.070480
+vn -3.034548 5.235993 -5.255983
+v -0.040691 2.084521 -0.070480
+vn -0.000002 -5.235987 -6.069087
+v 0.000000 0.561441 -0.081383
+vn -0.000004 5.235984 -6.069086
+v 0.000001 2.084521 -0.081383
+vn 3.034546 -5.235990 -5.255977
+v 0.040692 0.561441 -0.070480
+vn 3.034543 5.235989 -5.255985
+v 0.040692 2.084521 -0.070480
+vn 5.256006 -5.235992 -3.034552
+v 0.070480 0.561441 -0.040692
+vn 5.255981 5.235987 -3.034550
+v 0.070481 2.084521 -0.040692
+vn 6.069102 -5.235987 -0.000002
+v 0.081384 0.561441 0.000000
+vn 6.069095 5.235984 -0.000008
+v 0.081384 2.084521 0.000000
+vn 5.256007 -5.235992 3.034549
+v 0.070480 0.561441 0.040692
+vn 5.255994 5.235986 3.034542
+v 0.070481 2.084521 0.040692
+vn 3.034550 -5.235988 5.255974
+v 0.040692 0.561441 0.070480
+vn 3.034556 5.235989 5.255987
+v 0.040693 2.084521 0.070480
+vn 0.000000 -5.235987 6.069087
+v 0.000000 0.561441 0.081383
+vn 0.000009 5.235988 6.069088
+v 0.000001 2.084521 0.081383
+vn -3.034540 -5.235992 5.255989
+v -0.040691 0.561441 0.070480
+vn -3.034540 5.235986 5.255985
+v -0.040691 2.084521 0.070480
+vn -5.255979 -5.235981 3.034548
+v -0.070480 0.561441 0.040692
+vn -5.255982 5.235995 3.034551
+v -0.070479 2.084521 0.040692
+vn -0.158603 0.382902 -0.001035
+v -0.379845 2.886224 0.221852
+vn -0.000003 -0.000000 -12.550661
+v 0.000001 1.969194 0.187186
+vn -0.000000 0.414451 -0.001034
+v 0.000001 2.961780 0.221851
+vn 0.000003 -0.000000 12.545241
+v 0.000001 1.969194 0.262060
+vn -0.293061 0.293061 -0.001034
+v -0.701863 2.671058 0.221852
+vn -0.382902 0.158603 -0.001034
+v -0.917029 2.349041 0.221852
+vn -0.414450 0.000000 -0.001035
+v -0.992585 1.969195 0.221852
+vn -0.382902 -0.158603 -0.001034
+v -0.917029 1.589348 0.221852
+vn -0.293061 -0.293061 -0.001035
+v -0.701864 1.267330 0.221852
+vn -0.158603 -0.382902 -0.001035
+v -0.379846 1.052164 0.221852
+vn -0.000000 -0.414451 -0.001034
+v 0.000001 0.976608 0.221851
+vn 0.158603 -0.382902 -0.001035
+v 0.379847 1.052164 0.221851
+vn 0.293061 -0.293061 -0.001034
+v 0.701865 1.267330 0.221851
+vn 0.382902 -0.158603 -0.001035
+v 0.917031 1.589348 0.221851
+vn 0.414450 -0.000000 -0.001035
+v 0.992587 1.969194 0.221851
+vn 0.382902 0.158603 -0.001035
+v 0.917031 2.349040 0.221851
+vn 0.293061 0.293060 -0.001034
+v 0.701866 2.671059 0.221851
+vn 0.158603 0.382901 -0.001034
+v 0.379847 2.886225 0.221851
+vn 2.221441 5.363034 -4.712390
+v 0.336934 0.561557 -0.299497
+vn 2.221442 -5.363034 -4.712392
+v 0.336934 -0.561557 -0.299497
+vn -2.221441 -5.363034 -4.712388
+v -0.336934 -0.561557 -0.299497
+vn -2.221440 5.363033 -4.712384
+v -0.336934 0.561558 -0.299497
+vn 2.221442 5.363033 4.712387
+v 0.336935 0.561557 0.299497
+vn 2.221439 -5.363034 4.712385
+v 0.336934 -0.561558 0.299497
+vn -2.221441 -5.363034 4.712389
+v -0.336934 -0.561557 0.299497
+vn -2.221442 5.363035 4.712392
+v -0.336934 0.561557 0.299497
+vn 5.363035 2.221442 -4.712393
+v 0.561557 0.336934 -0.299497
+vn -5.363034 2.221443 -4.712390
+v -0.561557 0.336935 -0.299497
+vn 5.363034 2.221440 4.712386
+v 0.561558 0.336934 0.299497
+vn -5.363035 2.221442 4.712391
+v -0.561557 0.336934 0.299497
+vn 5.363035 -2.221442 -4.712392
+v 0.561557 -0.336934 -0.299497
+vn -5.363034 -2.221440 -4.712389
+v -0.561557 -0.336934 -0.299497
+vn 5.363033 -2.221442 4.712387
+v 0.561557 -0.336935 0.299497
+vn -5.363034 -2.221441 4.712388
+v -0.561557 -0.336934 0.299497
+# 300 vertices, 0 vertices normals
+
+f 61//61 37//37 38//38
+f 62//62 50//50 49//49
+f 61//61 38//38 39//39
+f 62//62 51//51 50//50
+f 61//61 39//39 40//40
+f 62//62 52//52 51//51
+f 61//61 40//40 41//41
+f 62//62 53//53 52//52
+f 61//61 41//41 42//42
+f 62//62 54//54 53//53
+f 61//61 42//42 43//43
+f 62//62 55//55 54//54
+f 61//61 43//43 44//44
+f 62//62 56//56 55//55
+f 61//61 44//44 45//45
+f 62//62 57//57 56//56
+f 61//61 45//45 46//46
+f 62//62 58//58 57//57
+f 61//61 46//46 47//47
+f 62//62 59//59 58//58
+f 61//61 47//47 48//48
+f 62//62 60//60 59//59
+f 48//48 37//37 61//61
+f 62//62 49//49 60//60
+f 49//49 37//37 48//48
+f 49//49 48//48 60//60
+f 47//47 59//59 60//60
+f 47//47 60//60 48//48
+f 46//46 58//58 59//59
+f 46//46 59//59 47//47
+f 45//45 57//57 58//58
+f 45//45 58//58 46//46
+f 44//44 56//56 57//57
+f 44//44 57//57 45//45
+f 43//43 55//55 56//56
+f 43//43 56//56 44//44
+f 42//42 54//54 55//55
+f 42//42 55//55 43//43
+f 41//41 53//53 54//54
+f 41//41 54//54 42//42
+f 40//40 52//52 53//53
+f 40//40 53//53 41//41
+f 39//39 51//51 52//52
+f 39//39 52//52 40//40
+f 38//38 50//50 51//51
+f 38//38 51//51 39//39
+f 37//37 49//49 50//50
+f 37//37 50//50 38//38
+f 152//152 136//136 135//135
+f 138//138 136//136 152//152
+f 137//137 139//139 135//135
+f 138//138 139//139 137//137
+f 140//140 141//141 135//135
+f 138//138 141//141 140//140
+f 142//142 143//143 135//135
+f 138//138 143//143 142//142
+f 144//144 145//145 135//135
+f 138//138 145//145 144//144
+f 146//146 147//147 135//135
+f 138//138 147//147 146//146
+f 148//148 149//149 135//135
+f 138//138 149//149 148//148
+f 150//150 151//151 135//135
+f 138//138 151//151 150//150
+f 182//182 179//179 183//183
+f 183//183 179//179 180//180
+f 182//182 184//184 185//185
+f 185//185 184//184 180//180
+f 182//182 186//186 187//187
+f 187//187 186//186 180//180
+f 182//182 188//188 189//189
+f 189//189 188//188 180//180
+f 182//182 190//190 191//191
+f 191//191 190//190 180//180
+f 182//182 192//192 193//193
+f 193//193 192//192 180//180
+f 182//182 194//194 195//195
+f 195//195 194//194 180//180
+f 182//182 196//196 181//181
+f 181//181 196//196 180//180
+f 197//197 198//198 199//199
+f 200//200 198//198 197//197
+f 201//201 202//202 199//199
+f 200//200 202//202 201//201
+f 203//203 204//204 199//199
+f 200//200 204//204 203//203
+f 205//205 206//206 199//199
+f 200//200 206//206 205//205
+f 207//207 208//208 199//199
+f 200//200 208//208 207//207
+f 209//209 210//210 199//199
+f 200//200 210//210 209//209
+f 211//211 212//212 199//199
+f 200//200 212//212 211//211
+f 213//213 214//214 199//199
+f 200//200 214//214 213//213
+f 270//270 267//267 271//271
+f 271//271 267//267 268//268
+f 270//270 272//272 273//273
+f 273//273 272//272 268//268
+f 270//270 274//274 275//275
+f 275//275 274//274 268//268
+f 270//270 276//276 277//277
+f 277//277 276//276 268//268
+f 270//270 278//278 279//279
+f 279//279 278//278 268//268
+f 270//270 280//280 281//281
+f 281//281 280//280 268//268
+f 270//270 282//282 283//283
+f 283//283 282//282 268//268
+f 270//270 284//284 269//269
+f 269//269 284//284 268//268
+f 17//17 1//1 4//4
+f 3//3 2//2 18//18
+f 17//17 4//4 6//6
+f 18//18 5//5 3//3
+f 17//17 6//6 8//8
+f 18//18 7//7 5//5
+f 17//17 8//8 10//10
+f 18//18 9//9 7//7
+f 17//17 10//10 12//12
+f 18//18 11//11 9//9
+f 17//17 12//12 14//14
+f 18//18 13//13 11//11
+f 17//17 14//14 16//16
+f 18//18 15//15 13//13
+f 16//16 1//1 17//17
+f 18//18 2//2 15//15
+f 19//19 21//21 20//20
+f 22//22 24//24 23//23
+f 19//19 20//20 25//25
+f 22//22 26//26 24//24
+f 19//19 25//25 27//27
+f 22//22 28//28 26//26
+f 19//19 27//27 29//29
+f 22//22 30//30 28//28
+f 19//19 29//29 31//31
+f 22//22 32//32 30//30
+f 19//19 31//31 33//33
+f 22//22 34//34 32//32
+f 19//19 33//33 35//35
+f 22//22 36//36 34//34
+f 35//35 21//21 19//19
+f 36//36 22//22 23//23
+f 79//79 63//63 64//64
+f 80//80 72//72 71//71
+f 79//79 64//64 65//65
+f 80//80 73//73 72//72
+f 79//79 65//65 66//66
+f 80//80 74//74 73//73
+f 79//79 66//66 67//67
+f 80//80 75//75 74//74
+f 79//79 67//67 68//68
+f 80//80 76//76 75//75
+f 79//79 68//68 69//69
+f 80//80 77//77 76//76
+f 79//79 69//69 70//70
+f 80//80 78//78 77//77
+f 70//70 63//63 79//79
+f 80//80 71//71 78//78
+f 97//97 81//81 84//84
+f 83//83 82//82 98//98
+f 97//97 84//84 86//86
+f 98//98 85//85 83//83
+f 97//97 86//86 88//88
+f 98//98 87//87 85//85
+f 97//97 88//88 90//90
+f 98//98 89//89 87//87
+f 97//97 90//90 92//92
+f 98//98 91//91 89//89
+f 97//97 92//92 94//94
+f 98//98 93//93 91//91
+f 97//97 94//94 96//96
+f 98//98 95//95 93//93
+f 97//97 96//96 81//81
+f 98//98 82//82 95//95
+f 99//99 101//101 100//100
+f 102//102 104//104 103//103
+f 99//99 100//100 105//105
+f 102//102 106//106 104//104
+f 99//99 105//105 107//107
+f 102//102 108//108 106//106
+f 99//99 107//107 109//109
+f 102//102 110//110 108//108
+f 99//99 109//109 111//111
+f 102//102 112//112 110//110
+f 99//99 111//111 113//113
+f 102//102 114//114 112//112
+f 99//99 113//113 115//115
+f 102//102 116//116 114//114
+f 115//115 101//101 99//99
+f 102//102 103//103 116//116
+f 133//133 117//117 120//120
+f 119//119 118//118 134//134
+f 133//133 120//120 122//122
+f 134//134 121//121 119//119
+f 133//133 122//122 124//124
+f 134//134 123//123 121//121
+f 133//133 124//124 126//126
+f 134//134 125//125 123//123
+f 133//133 126//126 128//128
+f 134//134 127//127 125//125
+f 133//133 128//128 130//130
+f 134//134 129//129 127//127
+f 133//133 130//130 132//132
+f 134//134 131//131 129//129
+f 133//133 132//132 117//117
+f 134//134 118//118 131//131
+f 153//153 154//154 155//155
+f 156//156 157//157 158//158
+f 153//153 155//155 159//159
+f 156//156 160//160 157//157
+f 153//153 159//159 161//161
+f 156//156 162//162 160//160
+f 153//153 161//161 163//163
+f 156//156 164//164 162//162
+f 153//153 163//163 165//165
+f 156//156 166//166 164//164
+f 153//153 165//165 167//167
+f 156//156 168//168 166//166
+f 153//153 167//167 169//169
+f 156//156 170//170 168//168
+f 153//153 169//169 171//171
+f 156//156 172//172 170//170
+f 153//153 171//171 173//173
+f 156//156 174//174 172//172
+f 153//153 173//173 175//175
+f 156//156 176//176 174//174
+f 153//153 175//175 177//177
+f 156//156 178//178 176//176
+f 153//153 177//177 154//154
+f 156//156 158//158 178//178
+f 239//239 217//217 218//218
+f 240//240 215//215 216//216
+f 239//239 218//218 220//220
+f 240//240 219//219 215//215
+f 239//239 220//220 222//222
+f 240//240 221//221 219//219
+f 239//239 222//222 224//224
+f 240//240 223//223 221//221
+f 239//239 224//224 226//226
+f 240//240 225//225 223//223
+f 239//239 226//226 228//228
+f 240//240 227//227 225//225
+f 239//239 228//228 230//230
+f 240//240 229//229 227//227
+f 239//239 230//230 232//232
+f 240//240 231//231 229//229
+f 239//239 232//232 234//234
+f 240//240 233//233 231//231
+f 239//239 234//234 236//236
+f 240//240 235//235 233//233
+f 239//239 236//236 238//238
+f 240//240 237//237 235//235
+f 239//239 238//238 217//217
+f 240//240 216//216 237//237
+f 241//241 242//242 243//243
+f 244//244 245//245 246//246
+f 241//241 243//243 247//247
+f 244//244 248//248 245//245
+f 241//241 247//247 249//249
+f 244//244 250//250 248//248
+f 241//241 249//249 251//251
+f 244//244 252//252 250//250
+f 241//241 251//251 253//253
+f 244//244 254//254 252//252
+f 241//241 253//253 255//255
+f 244//244 256//256 254//254
+f 241//241 255//255 257//257
+f 244//244 258//258 256//256
+f 241//241 257//257 259//259
+f 244//244 260//260 258//258
+f 241//241 259//259 261//261
+f 244//244 262//262 260//260
+f 241//241 261//261 263//263
+f 244//244 264//264 262//262
+f 241//241 263//263 265//265
+f 244//244 266//266 264//264
+f 241//241 265//265 242//242
+f 244//244 246//246 266//266
+f 300//300 296//296 298//298
+f 296//296 294//294 298//298
+f 291//291 300//300 298//298
+f 291//291 298//298 287//287
+f 299//299 290//290 286//286
+f 299//299 286//286 297//297
+f 295//295 299//299 297//297
+f 295//295 297//297 293//293
+f 300//300 291//291 299//299
+f 291//291 290//290 299//299
+f 296//296 300//300 299//299
+f 296//296 299//299 295//295
+f 297//297 286//286 287//287
+f 297//297 287//287 298//298
+f 293//293 297//297 298//298
+f 293//293 298//298 294//294
+f 296//296 292//292 294//294
+f 292//292 288//288 294//294
+f 293//293 285//285 289//289
+f 293//293 289//289 295//295
+f 292//292 296//296 289//289
+f 296//296 295//295 289//289
+f 285//285 293//293 294//294
+f 285//285 294//294 288//288
+f 289//289 285//285 292//292
+f 285//285 288//288 292//292
+f 286//286 290//290 291//291
+f 286//286 291//291 287//287
+f 265//265 246//246 242//242
+f 265//265 266//266 246//246
+f 263//263 266//266 265//265
+f 263//263 264//264 266//266
+f 261//261 264//264 263//263
+f 261//261 262//262 264//264
+f 259//259 262//262 261//261
+f 259//259 260//260 262//262
+f 257//257 260//260 259//259
+f 257//257 258//258 260//260
+f 255//255 258//258 257//257
+f 255//255 256//256 258//258
+f 253//253 256//256 255//255
+f 253//253 254//254 256//256
+f 251//251 254//254 253//253
+f 251//251 252//252 254//254
+f 249//249 252//252 251//251
+f 249//249 250//250 252//252
+f 247//247 250//250 249//249
+f 247//247 248//248 250//250
+f 243//243 248//248 247//247
+f 243//243 245//245 248//248
+f 242//242 245//245 243//243
+f 242//242 246//246 245//245
+f 216//216 217//217 238//238
+f 216//216 238//238 237//237
+f 237//237 238//238 236//236
+f 237//237 236//236 235//235
+f 235//235 236//236 234//234
+f 235//235 234//234 233//233
+f 233//233 234//234 232//232
+f 233//233 232//232 231//231
+f 231//231 232//232 230//230
+f 231//231 230//230 229//229
+f 229//229 230//230 228//228
+f 229//229 228//228 227//227
+f 227//227 228//228 226//226
+f 227//227 226//226 225//225
+f 225//225 226//226 224//224
+f 225//225 224//224 223//223
+f 223//223 224//224 222//222
+f 223//223 222//222 221//221
+f 221//221 222//222 220//220
+f 221//221 220//220 219//219
+f 219//219 220//220 218//218
+f 219//219 218//218 215//215
+f 215//215 218//218 217//217
+f 215//215 217//217 216//216
+f 177//177 158//158 154//154
+f 177//177 178//178 158//158
+f 175//175 178//178 177//177
+f 175//175 176//176 178//178
+f 173//173 176//176 175//175
+f 173//173 174//174 176//176
+f 171//171 174//174 173//173
+f 171//171 172//172 174//174
+f 169//169 172//172 171//171
+f 169//169 170//170 172//172
+f 167//167 170//170 169//169
+f 167//167 168//168 170//170
+f 165//165 168//168 167//167
+f 165//165 166//166 168//168
+f 163//163 166//166 165//165
+f 163//163 164//164 166//166
+f 161//161 164//164 163//163
+f 161//161 162//162 164//164
+f 159//159 162//162 161//161
+f 159//159 160//160 162//162
+f 155//155 160//160 159//159
+f 155//155 157//157 160//160
+f 154//154 157//157 155//155
+f 154//154 158//158 157//157
+f 118//118 132//132 131//131
+f 118//118 117//117 132//132
+f 131//131 132//132 129//129
+f 129//129 132//132 130//130
+f 129//129 130//130 127//127
+f 127//127 130//130 128//128
+f 127//127 128//128 125//125
+f 125//125 128//128 126//126
+f 125//125 126//126 123//123
+f 123//123 126//126 124//124
+f 123//123 122//122 121//121
+f 123//123 124//124 122//122
+f 121//121 120//120 119//119
+f 121//121 122//122 120//120
+f 117//117 119//119 120//120
+f 117//117 118//118 119//119
+f 103//103 101//101 115//115
+f 103//103 115//115 116//116
+f 113//113 114//114 116//116
+f 113//113 116//116 115//115
+f 111//111 112//112 114//114
+f 111//111 114//114 113//113
+f 109//109 110//110 111//111
+f 110//110 112//112 111//111
+f 107//107 108//108 109//109
+f 108//108 110//110 109//109
+f 105//105 106//106 107//107
+f 106//106 108//108 107//107
+f 100//100 104//104 105//105
+f 104//104 106//106 105//105
+f 101//101 103//103 104//104
+f 101//101 104//104 100//100
+f 82//82 96//96 95//95
+f 82//82 81//81 96//96
+f 95//95 96//96 93//93
+f 93//93 96//96 94//94
+f 93//93 94//94 91//91
+f 91//91 94//94 92//92
+f 91//91 92//92 89//89
+f 89//89 92//92 90//90
+f 89//89 90//90 87//87
+f 87//87 90//90 88//88
+f 87//87 86//86 85//85
+f 87//87 88//88 86//86
+f 85//85 84//84 83//83
+f 85//85 86//86 84//84
+f 81//81 83//83 84//84
+f 81//81 82//82 83//83
+f 71//71 63//63 70//70
+f 71//71 70//70 78//78
+f 69//69 77//77 78//78
+f 69//69 78//78 70//70
+f 68//68 76//76 77//77
+f 68//68 77//77 69//69
+f 67//67 75//75 68//68
+f 75//75 76//76 68//68
+f 66//66 74//74 67//67
+f 74//74 75//75 67//67
+f 65//65 73//73 66//66
+f 73//73 74//74 66//66
+f 64//64 72//72 65//65
+f 72//72 73//73 65//65
+f 63//63 71//71 72//72
+f 63//63 72//72 64//64
+f 23//23 21//21 35//35
+f 23//23 35//35 36//36
+f 33//33 34//34 36//36
+f 33//33 36//36 35//35
+f 31//31 32//32 34//34
+f 31//31 34//34 33//33
+f 29//29 30//30 32//32
+f 29//29 32//32 31//31
+f 27//27 28//28 30//30
+f 27//27 30//30 29//29
+f 25//25 26//26 28//28
+f 25//25 28//28 27//27
+f 20//20 24//24 26//26
+f 20//20 26//26 25//25
+f 24//24 20//20 21//21
+f 24//24 21//21 23//23
+f 2//2 1//1 16//16
+f 16//16 15//15 2//2
+f 15//15 14//14 13//13
+f 15//15 16//16 14//14
+f 13//13 12//12 11//11
+f 13//13 14//14 12//12
+f 11//11 10//10 9//9
+f 11//11 12//12 10//10
+f 9//9 8//8 7//7
+f 9//9 10//10 8//8
+f 7//7 6//6 5//5
+f 7//7 8//8 6//6
+f 5//5 4//4 3//3
+f 5//5 6//6 4//4
+f 1//1 3//3 4//4
+f 1//1 2//2 3//3
+f 138//138 137//137 136//136
+f 136//136 137//137 135//135
+f 138//138 140//140 139//139
+f 139//139 140//140 135//135
+f 138//138 142//142 141//141
+f 141//141 142//142 135//135
+f 138//138 144//144 143//143
+f 143//143 144//144 135//135
+f 138//138 146//146 145//145
+f 145//145 146//146 135//135
+f 138//138 148//148 147//147
+f 147//147 148//148 135//135
+f 138//138 150//150 149//149
+f 149//149 150//150 135//135
+f 138//138 152//152 151//151
+f 151//151 152//152 135//135
+f 179//179 181//181 180//180
+f 182//182 181//181 179//179
+f 184//184 183//183 180//180
+f 182//182 183//183 184//184
+f 186//186 185//185 180//180
+f 182//182 185//185 186//186
+f 188//188 187//187 180//180
+f 182//182 187//187 188//188
+f 190//190 189//189 180//180
+f 182//182 189//189 190//190
+f 192//192 191//191 180//180
+f 182//182 191//191 192//192
+f 194//194 193//193 180//180
+f 182//182 193//193 194//194
+f 196//196 195//195 180//180
+f 182//182 195//195 196//196
+f 200//200 201//201 198//198
+f 198//198 201//201 199//199
+f 200//200 203//203 202//202
+f 202//202 203//203 199//199
+f 200//200 205//205 204//204
+f 204//204 205//205 199//199
+f 200//200 207//207 206//206
+f 206//206 207//207 199//199
+f 200//200 209//209 208//208
+f 208//208 209//209 199//199
+f 200//200 211//211 210//210
+f 210//210 211//211 199//199
+f 200//200 213//213 212//212
+f 212//212 213//213 199//199
+f 200//200 197//197 214//214
+f 214//214 197//197 199//199
+f 267//267 269//269 268//268
+f 270//270 269//269 267//267
+f 272//272 271//271 268//268
+f 270//270 271//271 272//272
+f 274//274 273//273 268//268
+f 270//270 273//273 274//274
+f 276//276 275//275 268//268
+f 270//270 275//275 276//276
+f 278//278 277//277 268//268
+f 270//270 277//277 278//278
+f 280//280 279//279 268//268
+f 270//270 279//279 280//280
+f 282//282 281//281 268//268
+f 270//270 281//281 282//282
+f 284//284 283//283 268//268
+f 270//270 283//283 284//284
+f 61//61 37//37 38//38
+f 62//62 50//50 49//49
+f 61//61 38//38 39//39
+f 62//62 51//51 50//50
+f 61//61 39//39 40//40
+f 62//62 52//52 51//51
+f 61//61 40//40 41//41
+f 62//62 53//53 52//52
+f 61//61 41//41 42//42
+f 62//62 54//54 53//53
+f 61//61 42//42 43//43
+f 62//62 55//55 54//54
+f 61//61 43//43 44//44
+f 62//62 56//56 55//55
+f 61//61 44//44 45//45
+f 62//62 57//57 56//56
+f 61//61 45//45 46//46
+f 62//62 58//58 57//57
+f 61//61 46//46 47//47
+f 62//62 59//59 58//58
+f 61//61 47//47 48//48
+f 62//62 60//60 59//59
+f 48//48 37//37 61//61
+f 62//62 49//49 60//60
+f 49//49 37//37 48//48
+f 49//49 48//48 60//60
+f 47//47 59//59 60//60
+f 47//47 60//60 48//48
+f 46//46 58//58 59//59
+f 46//46 59//59 47//47
+f 45//45 57//57 58//58
+f 45//45 58//58 46//46
+f 44//44 56//56 57//57
+f 44//44 57//57 45//45
+f 43//43 55//55 56//56
+f 43//43 56//56 44//44
+f 42//42 54//54 55//55
+f 42//42 55//55 43//43
+f 41//41 53//53 54//54
+f 41//41 54//54 42//42
+f 40//40 52//52 53//53
+f 40//40 53//53 41//41
+f 39//39 51//51 52//52
+f 39//39 52//52 40//40
+f 38//38 50//50 51//51
+f 38//38 51//51 39//39
+f 37//37 49//49 50//50
+f 37//37 50//50 38//38
+f 152//152 136//136 135//135
+f 138//138 136//136 152//152
+f 137//137 139//139 135//135
+f 138//138 139//139 137//137
+f 140//140 141//141 135//135
+f 138//138 141//141 140//140
+f 142//142 143//143 135//135
+f 138//138 143//143 142//142
+f 144//144 145//145 135//135
+f 138//138 145//145 144//144
+f 146//146 147//147 135//135
+f 138//138 147//147 146//146
+f 148//148 149//149 135//135
+f 138//138 149//149 148//148
+f 150//150 151//151 135//135
+f 138//138 151//151 150//150
+f 182//182 179//179 183//183
+f 183//183 179//179 180//180
+f 182//182 184//184 185//185
+f 185//185 184//184 180//180
+f 182//182 186//186 187//187
+f 187//187 186//186 180//180
+f 182//182 188//188 189//189
+f 189//189 188//188 180//180
+f 182//182 190//190 191//191
+f 191//191 190//190 180//180
+f 182//182 192//192 193//193
+f 193//193 192//192 180//180
+f 182//182 194//194 195//195
+f 195//195 194//194 180//180
+f 182//182 196//196 181//181
+f 181//181 196//196 180//180
+f 197//197 198//198 199//199
+f 200//200 198//198 197//197
+f 201//201 202//202 199//199
+f 200//200 202//202 201//201
+f 203//203 204//204 199//199
+f 200//200 204//204 203//203
+f 205//205 206//206 199//199
+f 200//200 206//206 205//205
+f 207//207 208//208 199//199
+f 200//200 208//208 207//207
+f 209//209 210//210 199//199
+f 200//200 210//210 209//209
+f 211//211 212//212 199//199
+f 200//200 212//212 211//211
+f 213//213 214//214 199//199
+f 200//200 214//214 213//213
+f 270//270 267//267 271//271
+f 271//271 267//267 268//268
+f 270//270 272//272 273//273
+f 273//273 272//272 268//268
+f 270//270 274//274 275//275
+f 275//275 274//274 268//268
+f 270//270 276//276 277//277
+f 277//277 276//276 268//268
+f 270//270 278//278 279//279
+f 279//279 278//278 268//268
+f 270//270 280//280 281//281
+f 281//281 280//280 268//268
+f 270//270 282//282 283//283
+f 283//283 282//282 268//268
+f 270//270 284//284 269//269
+f 269//269 284//284 268//268
+f 17//17 1//1 4//4
+f 3//3 2//2 18//18
+f 17//17 4//4 6//6
+f 18//18 5//5 3//3
+f 17//17 6//6 8//8
+f 18//18 7//7 5//5
+f 17//17 8//8 10//10
+f 18//18 9//9 7//7
+f 17//17 10//10 12//12
+f 18//18 11//11 9//9
+f 17//17 12//12 14//14
+f 18//18 13//13 11//11
+f 17//17 14//14 16//16
+f 18//18 15//15 13//13
+f 16//16 1//1 17//17
+f 18//18 2//2 15//15
+f 19//19 21//21 20//20
+f 22//22 24//24 23//23
+f 19//19 20//20 25//25
+f 22//22 26//26 24//24
+f 19//19 25//25 27//27
+f 22//22 28//28 26//26
+f 19//19 27//27 29//29
+f 22//22 30//30 28//28
+f 19//19 29//29 31//31
+f 22//22 32//32 30//30
+f 19//19 31//31 33//33
+f 22//22 34//34 32//32
+f 19//19 33//33 35//35
+f 22//22 36//36 34//34
+f 35//35 21//21 19//19
+f 36//36 22//22 23//23
+f 79//79 63//63 64//64
+f 80//80 72//72 71//71
+f 79//79 64//64 65//65
+f 80//80 73//73 72//72
+f 79//79 65//65 66//66
+f 80//80 74//74 73//73
+f 79//79 66//66 67//67
+f 80//80 75//75 74//74
+f 79//79 67//67 68//68
+f 80//80 76//76 75//75
+f 79//79 68//68 69//69
+f 80//80 77//77 76//76
+f 79//79 69//69 70//70
+f 80//80 78//78 77//77
+f 70//70 63//63 79//79
+f 80//80 71//71 78//78
+f 97//97 81//81 84//84
+f 83//83 82//82 98//98
+f 97//97 84//84 86//86
+f 98//98 85//85 83//83
+f 97//97 86//86 88//88
+f 98//98 87//87 85//85
+f 97//97 88//88 90//90
+f 98//98 89//89 87//87
+f 97//97 90//90 92//92
+f 98//98 91//91 89//89
+f 97//97 92//92 94//94
+f 98//98 93//93 91//91
+f 97//97 94//94 96//96
+f 98//98 95//95 93//93
+f 97//97 96//96 81//81
+f 98//98 82//82 95//95
+f 99//99 101//101 100//100
+f 102//102 104//104 103//103
+f 99//99 100//100 105//105
+f 102//102 106//106 104//104
+f 99//99 105//105 107//107
+f 102//102 108//108 106//106
+f 99//99 107//107 109//109
+f 102//102 110//110 108//108
+f 99//99 109//109 111//111
+f 102//102 112//112 110//110
+f 99//99 111//111 113//113
+f 102//102 114//114 112//112
+f 99//99 113//113 115//115
+f 102//102 116//116 114//114
+f 115//115 101//101 99//99
+f 102//102 103//103 116//116
+f 133//133 117//117 120//120
+f 119//119 118//118 134//134
+f 133//133 120//120 122//122
+f 134//134 121//121 119//119
+f 133//133 122//122 124//124
+f 134//134 123//123 121//121
+f 133//133 124//124 126//126
+f 134//134 125//125 123//123
+f 133//133 126//126 128//128
+f 134//134 127//127 125//125
+f 133//133 128//128 130//130
+f 134//134 129//129 127//127
+f 133//133 130//130 132//132
+f 134//134 131//131 129//129
+f 133//133 132//132 117//117
+f 134//134 118//118 131//131
+f 153//153 154//154 155//155
+f 156//156 157//157 158//158
+f 153//153 155//155 159//159
+f 156//156 160//160 157//157
+f 153//153 159//159 161//161
+f 156//156 162//162 160//160
+f 153//153 161//161 163//163
+f 156//156 164//164 162//162
+f 153//153 163//163 165//165
+f 156//156 166//166 164//164
+f 153//153 165//165 167//167
+f 156//156 168//168 166//166
+f 153//153 167//167 169//169
+f 156//156 170//170 168//168
+f 153//153 169//169 171//171
+f 156//156 172//172 170//170
+f 153//153 171//171 173//173
+f 156//156 174//174 172//172
+f 153//153 173//173 175//175
+f 156//156 176//176 174//174
+f 153//153 175//175 177//177
+f 156//156 178//178 176//176
+f 153//153 177//177 154//154
+f 156//156 158//158 178//178
+f 239//239 217//217 218//218
+f 240//240 215//215 216//216
+f 239//239 218//218 220//220
+f 240//240 219//219 215//215
+f 239//239 220//220 222//222
+f 240//240 221//221 219//219
+f 239//239 222//222 224//224
+f 240//240 223//223 221//221
+f 239//239 224//224 226//226
+f 240//240 225//225 223//223
+f 239//239 226//226 228//228
+f 240//240 227//227 225//225
+f 239//239 228//228 230//230
+f 240//240 229//229 227//227
+f 239//239 230//230 232//232
+f 240//240 231//231 229//229
+f 239//239 232//232 234//234
+f 240//240 233//233 231//231
+f 239//239 234//234 236//236
+f 240//240 235//235 233//233
+f 239//239 236//236 238//238
+f 240//240 237//237 235//235
+f 239//239 238//238 217//217
+f 240//240 216//216 237//237
+f 241//241 242//242 243//243
+f 244//244 245//245 246//246
+f 241//241 243//243 247//247
+f 244//244 248//248 245//245
+f 241//241 247//247 249//249
+f 244//244 250//250 248//248
+f 241//241 249//249 251//251
+f 244//244 252//252 250//250
+f 241//241 251//251 253//253
+f 244//244 254//254 252//252
+f 241//241 253//253 255//255
+f 244//244 256//256 254//254
+f 241//241 255//255 257//257
+f 244//244 258//258 256//256
+f 241//241 257//257 259//259
+f 244//244 260//260 258//258
+f 241//241 259//259 261//261
+f 244//244 262//262 260//260
+f 241//241 261//261 263//263
+f 244//244 264//264 262//262
+f 241//241 263//263 265//265
+f 244//244 266//266 264//264
+f 241//241 265//265 242//242
+f 244//244 246//246 266//266
+f 300//300 296//296 298//298
+f 296//296 294//294 298//298
+f 291//291 300//300 298//298
+f 291//291 298//298 287//287
+f 299//299 290//290 286//286
+f 299//299 286//286 297//297
+f 295//295 299//299 297//297
+f 295//295 297//297 293//293
+f 300//300 291//291 299//299
+f 291//291 290//290 299//299
+f 296//296 300//300 299//299
+f 296//296 299//299 295//295
+f 297//297 286//286 287//287
+f 297//297 287//287 298//298
+f 293//293 297//297 298//298
+f 293//293 298//298 294//294
+f 296//296 292//292 294//294
+f 292//292 288//288 294//294
+f 293//293 285//285 289//289
+f 293//293 289//289 295//295
+f 292//292 296//296 289//289
+f 296//296 295//295 289//289
+f 285//285 293//293 294//294
+f 285//285 294//294 288//288
+f 289//289 285//285 292//292
+f 285//285 288//288 292//292
+f 286//286 290//290 291//291
+f 286//286 291//291 287//287
+f 265//265 246//246 242//242
+f 265//265 266//266 246//246
+f 263//263 266//266 265//265
+f 263//263 264//264 266//266
+f 261//261 264//264 263//263
+f 261//261 262//262 264//264
+f 259//259 262//262 261//261
+f 259//259 260//260 262//262
+f 257//257 260//260 259//259
+f 257//257 258//258 260//260
+f 255//255 258//258 257//257
+f 255//255 256//256 258//258
+f 253//253 256//256 255//255
+f 253//253 254//254 256//256
+f 251//251 254//254 253//253
+f 251//251 252//252 254//254
+f 249//249 252//252 251//251
+f 249//249 250//250 252//252
+f 247//247 250//250 249//249
+f 247//247 248//248 250//250
+f 243//243 248//248 247//247
+f 243//243 245//245 248//248
+f 242//242 245//245 243//243
+f 242//242 246//246 245//245
+f 216//216 217//217 238//238
+f 216//216 238//238 237//237
+f 237//237 238//238 236//236
+f 237//237 236//236 235//235
+f 235//235 236//236 234//234
+f 235//235 234//234 233//233
+f 233//233 234//234 232//232
+f 233//233 232//232 231//231
+f 231//231 232//232 230//230
+f 231//231 230//230 229//229
+f 229//229 230//230 228//228
+f 229//229 228//228 227//227
+f 227//227 228//228 226//226
+f 227//227 226//226 225//225
+f 225//225 226//226 224//224
+f 225//225 224//224 223//223
+f 223//223 224//224 222//222
+f 223//223 222//222 221//221
+f 221//221 222//222 220//220
+f 221//221 220//220 219//219
+f 219//219 220//220 218//218
+f 219//219 218//218 215//215
+f 215//215 218//218 217//217
+f 215//215 217//217 216//216
+f 177//177 158//158 154//154
+f 177//177 178//178 158//158
+f 175//175 178//178 177//177
+f 175//175 176//176 178//178
+f 173//173 176//176 175//175
+f 173//173 174//174 176//176
+f 171//171 174//174 173//173
+f 171//171 172//172 174//174
+f 169//169 172//172 171//171
+f 169//169 170//170 172//172
+f 167//167 170//170 169//169
+f 167//167 168//168 170//170
+f 165//165 168//168 167//167
+f 165//165 166//166 168//168
+f 163//163 166//166 165//165
+f 163//163 164//164 166//166
+f 161//161 164//164 163//163
+f 161//161 162//162 164//164
+f 159//159 162//162 161//161
+f 159//159 160//160 162//162
+f 155//155 160//160 159//159
+f 155//155 157//157 160//160
+f 154//154 157//157 155//155
+f 154//154 158//158 157//157
+f 118//118 132//132 131//131
+f 118//118 117//117 132//132
+f 131//131 132//132 129//129
+f 129//129 132//132 130//130
+f 129//129 130//130 127//127
+f 127//127 130//130 128//128
+f 127//127 128//128 125//125
+f 125//125 128//128 126//126
+f 125//125 126//126 123//123
+f 123//123 126//126 124//124
+f 123//123 122//122 121//121
+f 123//123 124//124 122//122
+f 121//121 120//120 119//119
+f 121//121 122//122 120//120
+f 117//117 119//119 120//120
+f 117//117 118//118 119//119
+f 103//103 101//101 115//115
+f 103//103 115//115 116//116
+f 113//113 114//114 116//116
+f 113//113 116//116 115//115
+f 111//111 112//112 114//114
+f 111//111 114//114 113//113
+f 109//109 110//110 111//111
+f 110//110 112//112 111//111
+f 107//107 108//108 109//109
+f 108//108 110//110 109//109
+f 105//105 106//106 107//107
+f 106//106 108//108 107//107
+f 100//100 104//104 105//105
+f 104//104 106//106 105//105
+f 101//101 103//103 104//104
+f 101//101 104//104 100//100
+f 82//82 96//96 95//95
+f 82//82 81//81 96//96
+f 95//95 96//96 93//93
+f 93//93 96//96 94//94
+f 93//93 94//94 91//91
+f 91//91 94//94 92//92
+f 91//91 92//92 89//89
+f 89//89 92//92 90//90
+f 89//89 90//90 87//87
+f 87//87 90//90 88//88
+f 87//87 86//86 85//85
+f 87//87 88//88 86//86
+f 85//85 84//84 83//83
+f 85//85 86//86 84//84
+f 81//81 83//83 84//84
+f 81//81 82//82 83//83
+f 71//71 63//63 70//70
+f 71//71 70//70 78//78
+f 69//69 77//77 78//78
+f 69//69 78//78 70//70
+f 68//68 76//76 77//77
+f 68//68 77//77 69//69
+f 67//67 75//75 68//68
+f 75//75 76//76 68//68
+f 66//66 74//74 67//67
+f 74//74 75//75 67//67
+f 65//65 73//73 66//66
+f 73//73 74//74 66//66
+f 64//64 72//72 65//65
+f 72//72 73//73 65//65
+f 63//63 71//71 72//72
+f 63//63 72//72 64//64
+f 23//23 21//21 35//35
+f 23//23 35//35 36//36
+f 33//33 34//34 36//36
+f 33//33 36//36 35//35
+f 31//31 32//32 34//34
+f 31//31 34//34 33//33
+f 29//29 30//30 32//32
+f 29//29 32//32 31//31
+f 27//27 28//28 30//30
+f 27//27 30//30 29//29
+f 25//25 26//26 28//28
+f 25//25 28//28 27//27
+f 20//20 24//24 26//26
+f 20//20 26//26 25//25
+f 24//24 20//20 21//21
+f 24//24 21//21 23//23
+f 2//2 1//1 16//16
+f 16//16 15//15 2//2
+f 15//15 14//14 13//13
+f 15//15 16//16 14//14
+f 13//13 12//12 11//11
+f 13//13 14//14 12//12
+f 11//11 10//10 9//9
+f 11//11 12//12 10//10
+f 9//9 8//8 7//7
+f 9//9 10//10 8//8
+f 7//7 6//6 5//5
+f 7//7 8//8 6//6
+f 5//5 4//4 3//3
+f 5//5 6//6 4//4
+f 1//1 3//3 4//4
+f 1//1 2//2 3//3
+f 138//138 137//137 136//136
+f 136//136 137//137 135//135
+f 138//138 140//140 139//139
+f 139//139 140//140 135//135
+f 138//138 142//142 141//141
+f 141//141 142//142 135//135
+f 138//138 144//144 143//143
+f 143//143 144//144 135//135
+f 138//138 146//146 145//145
+f 145//145 146//146 135//135
+f 138//138 148//148 147//147
+f 147//147 148//148 135//135
+f 138//138 150//150 149//149
+f 149//149 150//150 135//135
+f 138//138 152//152 151//151
+f 151//151 152//152 135//135
+f 179//179 181//181 180//180
+f 182//182 181//181 179//179
+f 184//184 183//183 180//180
+f 182//182 183//183 184//184
+f 186//186 185//185 180//180
+f 182//182 185//185 186//186
+f 188//188 187//187 180//180
+f 182//182 187//187 188//188
+f 190//190 189//189 180//180
+f 182//182 189//189 190//190
+f 192//192 191//191 180//180
+f 182//182 191//191 192//192
+f 194//194 193//193 180//180
+f 182//182 193//193 194//194
+f 196//196 195//195 180//180
+f 182//182 195//195 196//196
+f 200//200 201//201 198//198
+f 198//198 201//201 199//199
+f 200//200 203//203 202//202
+f 202//202 203//203 199//199
+f 200//200 205//205 204//204
+f 204//204 205//205 199//199
+f 200//200 207//207 206//206
+f 206//206 207//207 199//199
+f 200//200 209//209 208//208
+f 208//208 209//209 199//199
+f 200//200 211//211 210//210
+f 210//210 211//211 199//199
+f 200//200 213//213 212//212
+f 212//212 213//213 199//199
+f 200//200 197//197 214//214
+f 214//214 197//197 199//199
+f 267//267 269//269 268//268
+f 270//270 269//269 267//267
+f 272//272 271//271 268//268
+f 270//270 271//271 272//272
+f 274//274 273//273 268//268
+f 270//270 273//273 274//274
+f 276//276 275//275 268//268
+f 270//270 275//275 276//276
+f 278//278 277//277 268//268
+f 270//270 277//277 278//278
+f 280//280 279//279 268//268
+f 270//270 279//279 280//280
+f 282//282 281//281 268//268
+f 270//270 281//281 282//282
+f 284//284 283//283 268//268
+f 270//270 283//283 284//284
+# 1080 faces, 0 coords texture
+
+# End of File
\ No newline at end of file
diff --git a/ct_models/urdf/QuadrotorWithLoad/ct_quadrotor.urdf b/ct_models/urdf/QuadrotorWithLoad/ct_quadrotor.urdf
new file mode 100644
index 0000000..a48f46f
--- /dev/null
+++ b/ct_models/urdf/QuadrotorWithLoad/ct_quadrotor.urdf
@@ -0,0 +1,63 @@
+<robot name="ct_quadrotor">
+ <link name="world" />
+ <link name="body">
+ <inertial>
+ <origin xyz="0.00000 0.00000 0.00000"/>
+ <mass value="0.50000"/>
+ <inertia ixx="0.03000" iyy="0.03000" izz="0.05000" ixy="-0.00000" ixz="-0.00000" iyz="-0.00000"/>
+ </inertial>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 0"/>
+ <geometry>
+ <mesh filename="package://ct_models/urdf/Quadrotor/quadrotor_base.dae" scale="0.1 0.1 0.1"/>
+ </geometry>
+ </visual>
+ </link>
+ <link name="link1">
+ <inertial>
+ <origin xyz="0.00000 0.00000 -0.05000"/>
+ <mass value="0.10000"/>
+ <inertia ixx="-0.00017" iyy="-0.00017" izz="0.00000" ixy="-0.00000" ixz="-0.00000" iyz="-0.00000"/>
+ </inertial>
+ <visual>
+ <origin rpy="0 0 0" xyz="0 0 -0.05"/>
+ <geometry>
+ <cylinder length="0.1" radius="0.01"/>
+ </geometry>
+ <material name="blue">
+ <color rgba="0 0 .8 1"/>
+ </material>
+ </visual>
+ </link>
+ <link name="link2">
+ <inertial>
+ <origin xyz="0.35000 0.00000 0.00000"/>
+ <mass value="0.50000"/>
+ <inertia ixx="0.00001" iyy="-0.04083" izz="-0.04083" ixy="-0.00000" ixz="-0.00000" iyz="-0.00000"/>
+ </inertial>
+ <visual>
+ <origin rpy="0 1.57 0" xyz="0.35 0.0 0.0"/>
+ <geometry>
+ <cylinder length="0.7" radius="0.01"/>
+ </geometry>
+ </visual>
+ </link>
+ <joint name="fbj" type="floating">
+ <parent link="world"/>
+ <child link="body"/>
+ </joint>
+ <joint name="jA" type="revolute">
+ <origin xyz="0.00000 0.00000 0.00000" rpy="0.0 0.0 0.0"/>
+ <parent link="body"/>
+ <child link="link1"/>
+ <limit effort="30" velocity="1.0"/>
+ <axis xyz="0 0 1"/>
+ </joint>
+ <joint name="jB" type="revolute">
+ <origin xyz="0.00000 0.00000 -0.10000" rpy="-2.3561944901923457 1.5707962635746238 2.3561944901923457"/>
+ <parent link="link1"/>
+ <child link="link2"/>
+ <limit effort="30" velocity="1.0"/>
+ <axis xyz="0 0 1"/>
+ </joint>
+</robot>
diff --git a/ct_models/urdf/QuadrotorWithLoad/quadrotor_base.obj b/ct_models/urdf/QuadrotorWithLoad/quadrotor_base.obj
new file mode 100644
index 0000000..dc5129f
--- /dev/null
+++ b/ct_models/urdf/QuadrotorWithLoad/quadrotor_base.obj
@@ -0,0 +1,1696 @@
+####
+#
+# OBJ File Generated by Meshlab
+#
+####
+# Object quadrotor_base.obj
+#
+# Vertices: 300
+# Faces: 1080
+#
+####
+vn 4.712352 -0.000018 -5.804880
+v 0.823618 0.673869 -1.366201
+vn -4.712348 0.000002 -5.804878
+v -0.823618 0.673869 -1.366201
+vn -4.712421 4.104710 -4.104690
+v -0.823618 0.685264 -1.361481
+vn 4.712396 4.104707 -4.104671
+v 0.823618 0.685264 -1.361481
+vn -4.712366 5.804888 0.000002
+v -0.823618 0.689984 -1.350086
+vn 4.712383 5.804898 0.000024
+v 0.823618 0.689984 -1.350086
+vn -4.712404 4.104681 4.104702
+v -0.823618 0.685264 -1.338691
+vn 4.712404 4.104684 4.104700
+v 0.823618 0.685264 -1.338691
+vn -4.712383 -0.000002 5.804899
+v -0.823618 0.673869 -1.333971
+vn 4.712387 0.000007 5.804901
+v 0.823618 0.673869 -1.333971
+vn -4.712386 -4.104694 4.104674
+v -0.823618 0.662474 -1.338691
+vn 4.712373 -4.104692 4.104666
+v 0.823618 0.662474 -1.338691
+vn -4.712401 -5.804910 -0.000002
+v -0.823618 0.657754 -1.350086
+vn 4.712401 -5.804910 -0.000024
+v 0.823618 0.657754 -1.350086
+vn -4.712403 -4.104718 -4.104666
+v -0.823618 0.662474 -1.361481
+vn 4.712417 -4.104721 -4.104674
+v 0.823618 0.662474 -1.361481
+vn 12.566370 0.000000 0.000000
+v 0.823618 0.673869 -1.350086
+vn -12.566372 0.000000 0.000000
+v -0.823618 0.673869 -1.350086
+vn 12.566370 0.000000 0.000000
+v 0.823617 -0.673869 -1.350086
+vn 4.712387 4.104727 -4.104664
+v 0.823617 -0.662474 -1.361481
+vn 4.712359 -0.000001 -5.804899
+v 0.823617 -0.673869 -1.366201
+vn -12.566370 0.000000 0.000000
+v -0.823618 -0.673869 -1.350086
+vn -4.712344 0.000012 -5.804890
+v -0.823618 -0.673869 -1.366201
+vn -4.712438 4.104721 -4.104712
+v -0.823618 -0.662474 -1.361481
+vn 4.712419 5.804935 0.000004
+v 0.823617 -0.657754 -1.350086
+vn -4.712384 5.804914 -0.000056
+v -0.823618 -0.657754 -1.350086
+vn 4.712369 4.104695 4.104680
+v 0.823617 -0.662474 -1.338691
+vn -4.712369 4.104702 4.104674
+v -0.823618 -0.662474 -1.338691
+vn 4.712395 -0.000010 5.804920
+v 0.823617 -0.673869 -1.333971
+vn -4.712395 -0.000001 5.804920
+v -0.823618 -0.673869 -1.333971
+vn 4.712382 -4.104702 4.104685
+v 0.823617 -0.685264 -1.338691
+vn -4.712382 -4.104696 4.104691
+v -0.823618 -0.685264 -1.338691
+vn 4.712401 -5.804924 -0.000004
+v 0.823617 -0.689984 -1.350086
+vn -4.712401 -5.804924 0.000004
+v -0.823618 -0.689984 -1.350086
+vn 4.712399 -4.104721 -4.104680
+v 0.823617 -0.685264 -1.361481
+vn -4.712399 -4.104727 -4.104674
+v -0.823618 -0.685264 -1.361481
+vn -5.235984 6.069087 0.000004
+v 0.561441 0.081383 0.000000
+vn -5.235989 5.255984 -3.034544
+v 0.561441 0.070480 -0.040692
+vn -5.235989 3.034546 -5.255983
+v 0.561441 0.040692 -0.070480
+vn -5.235986 0.000001 -6.069088
+v 0.561441 0.000000 -0.081383
+vn -5.235989 -3.034547 -5.255976
+v 0.561441 -0.040692 -0.070480
+vn -5.235989 -5.256006 -3.034549
+v 0.561441 -0.070480 -0.040692
+vn -5.235986 -6.069103 0.000002
+v 0.561441 -0.081383 0.000000
+vn -5.235991 -5.256007 3.034550
+v 0.561441 -0.070480 0.040692
+vn -5.235989 -3.034554 5.255973
+v 0.561441 -0.040692 0.070480
+vn -5.235984 -0.000003 6.069086
+v 0.561441 0.000000 0.081383
+vn -5.235991 3.034543 5.255986
+v 0.561441 0.040692 0.070480
+vn -5.235989 5.255980 3.034551
+v 0.561441 0.070480 0.040692
+vn 5.235987 6.069087 0.000004
+v 2.084521 0.081383 0.000000
+vn 5.235984 5.255982 -3.034545
+v 2.084521 0.070480 -0.040692
+vn 5.235995 3.034549 -5.255984
+v 2.084521 0.040692 -0.070480
+vn 5.235981 0.000005 -6.069085
+v 2.084521 0.000000 -0.081383
+vn 5.235990 -3.034547 -5.255983
+v 2.084521 -0.040692 -0.070480
+vn 5.235993 -5.255982 -3.034551
+v 2.084521 -0.070480 -0.040692
+vn 5.235984 -6.069095 -0.000011
+v 2.084521 -0.081383 0.000000
+vn 5.235989 -5.255995 3.034542
+v 2.084521 -0.070480 0.040692
+vn 5.235988 -3.034554 5.255987
+v 2.084521 -0.040692 0.070480
+vn 5.235987 -0.000004 6.069088
+v 2.084521 0.000000 0.081383
+vn 5.235989 3.034540 5.255986
+v 2.084521 0.040692 0.070480
+vn 5.235988 5.255981 3.034548
+v 2.084521 0.070480 0.040692
+vn -12.566370 -0.000008 -0.000000
+v 0.561441 0.000000 0.000000
+vn 12.566370 0.000000 0.000000
+v 2.084521 0.000000 0.000000
+vn 0.355499 4.972161 -2.775034
+v 0.673869 0.689984 -1.332763
+vn 3.292306 3.292306 -2.318008
+v 0.685264 0.685264 -1.332763
+vn 4.972162 0.355500 -2.775033
+v 0.689984 0.673869 -1.332763
+vn 4.490691 -3.564183 -4.375483
+v 0.685264 0.662474 -1.332763
+vn 0.542895 -5.966685 -6.684689
+v 0.673869 0.657754 -1.332763
+vn -4.122719 -4.122719 -7.710718
+v 0.662474 0.662474 -1.332763
+vn -5.966685 0.542895 -6.684690
+v 0.657754 0.673869 -1.332763
+vn -3.564185 4.490689 -4.375484
+v 0.662474 0.685264 -1.332763
+vn -0.542897 5.966677 6.684656
+v 0.299497 0.315612 -0.303241
+vn 4.122744 4.122751 7.710777
+v 0.310892 0.310892 -0.303241
+vn 5.966676 -0.542893 6.684656
+v 0.315612 0.299497 -0.303241
+vn 3.564179 -4.490701 4.375489
+v 0.310892 0.288102 -0.303241
+vn -0.355480 -4.972164 2.775051
+v 0.299497 0.283382 -0.303241
+vn -3.292296 -3.292280 2.317987
+v 0.288102 0.288102 -0.303241
+vn -4.972173 -0.355465 2.775058
+v 0.283382 0.299497 -0.303241
+vn -4.490700 3.564181 4.375489
+v 0.288102 0.310892 -0.303241
+vn 0.000000 0.000000 -12.566372
+v 0.673869 0.673869 -1.332763
+vn 0.000000 0.000000 12.566369
+v 0.299497 0.299497 -0.303241
+vn 5.966708 0.542897 6.684694
+v 0.315612 -0.299497 -0.303241
+vn 4.972180 -0.355517 -2.775037
+v 0.689984 -0.673869 -1.332763
+vn 4.490703 3.564161 -4.375446
+v 0.685264 -0.662474 -1.332763
+vn 3.564178 4.490701 4.375466
+v 0.310892 -0.288102 -0.303241
+vn 0.542888 5.966686 -6.684695
+v 0.673869 -0.657754 -1.332763
+vn -0.355491 4.972161 2.775047
+v 0.299497 -0.283382 -0.303241
+vn -4.122740 4.122723 -7.710721
+v 0.662474 -0.662474 -1.332763
+vn -3.292300 3.292297 2.318002
+v 0.288102 -0.288102 -0.303241
+vn -5.966705 -0.542928 -6.684684
+v 0.657754 -0.673869 -1.332763
+vn -4.972191 0.355500 2.775033
+v 0.283382 -0.299497 -0.303241
+vn -3.564183 -4.490709 -4.375484
+v 0.662474 -0.685264 -1.332763
+vn -4.490696 -3.564181 4.375465
+v 0.288102 -0.310892 -0.303241
+vn 0.355491 -4.972157 -2.775042
+v 0.673869 -0.689984 -1.332763
+vn -0.542871 -5.966687 6.684691
+v 0.299497 -0.315612 -0.303241
+vn 3.292302 -3.292305 -2.318004
+v 0.685264 -0.685264 -1.332763
+vn 4.122734 -4.122715 7.710742
+v 0.310892 -0.310892 -0.303241
+vn 0.000000 0.000000 12.566369
+v 0.299497 -0.299497 -0.303241
+vn 0.000000 0.000000 -12.566370
+v 0.673869 -0.673869 -1.332763
+vn 0.000000 0.000000 -12.566370
+v -0.673869 -0.673869 -1.332763
+vn -3.292290 -3.292300 -2.317995
+v -0.685264 -0.685264 -1.332763
+vn -0.355509 -4.972198 -2.775056
+v -0.673869 -0.689984 -1.332763
+vn 0.000000 0.000000 12.566370
+v -0.299497 -0.299497 -0.303241
+vn 0.542906 -5.966710 6.684697
+v -0.299497 -0.315612 -0.303241
+vn -4.122705 -4.122732 7.710721
+v -0.310892 -0.310892 -0.303241
+vn -4.972171 -0.355494 -2.775043
+v -0.689984 -0.673869 -1.332763
+vn -5.966691 0.542908 6.684670
+v -0.315612 -0.299497 -0.303241
+vn -4.490705 3.564189 -4.375466
+v -0.685264 -0.662474 -1.332763
+vn -3.564171 4.490714 4.375473
+v -0.310892 -0.288102 -0.303241
+vn -0.542894 5.966691 -6.684712
+v -0.673869 -0.657754 -1.332763
+vn 0.355498 4.972172 2.775045
+v -0.299497 -0.283382 -0.303241
+vn 4.122747 4.122738 -7.710707
+v -0.662474 -0.662474 -1.332763
+vn 3.292301 3.292283 2.317991
+v -0.288102 -0.288102 -0.303241
+vn 5.966716 -0.542900 -6.684727
+v -0.657754 -0.673869 -1.332763
+vn 4.972217 0.355505 2.775045
+v -0.283382 -0.299497 -0.303241
+vn 3.564143 -4.490687 -4.375431
+v -0.662474 -0.685264 -1.332763
+vn 4.490695 -3.564148 4.375445
+v -0.288102 -0.310892 -0.303241
+vn -5.966710 -0.542906 6.684696
+v -0.315612 0.299497 -0.303241
+vn -4.972151 0.355530 -2.775038
+v -0.689984 0.673869 -1.332763
+vn -4.490701 -3.564152 -4.375435
+v -0.685264 0.662474 -1.332763
+vn -3.564142 -4.490708 4.375428
+v -0.310892 0.288102 -0.303241
+vn -0.542903 -5.966713 -6.684718
+v -0.673869 0.657754 -1.332763
+vn 0.355513 -4.972204 2.775044
+v -0.299497 0.283382 -0.303241
+vn 4.122728 -4.122761 -7.710725
+v -0.662474 0.662474 -1.332763
+vn 3.292291 -3.292302 2.317997
+v -0.288102 0.288102 -0.303241
+vn 5.966693 0.542908 -6.684679
+v -0.657754 0.673869 -1.332763
+vn 4.972177 -0.355509 2.775049
+v -0.283382 0.299497 -0.303241
+vn 3.564167 4.490698 -4.375471
+v -0.662474 0.685264 -1.332763
+vn 4.490724 3.564162 4.375457
+v -0.288102 0.310892 -0.303241
+vn -0.355461 4.972190 -2.775077
+v -0.673868 0.689984 -1.332763
+vn 0.542909 5.966693 6.684693
+v -0.299497 0.315612 -0.303241
+vn -3.292262 3.292327 -2.317995
+v -0.685264 0.685264 -1.332763
+vn -4.122717 4.122703 7.710712
+v -0.310892 0.310892 -0.303241
+vn 0.000000 0.000000 12.566369
+v -0.299497 0.299497 -0.303241
+vn 0.000000 0.000000 -12.566371
+v -0.673869 0.673869 -1.332763
+vn -0.000000 0.000003 -12.550662
+v 1.969194 0.000000 0.187186
+vn 0.382901 -0.158603 -0.001035
+v 2.886225 -0.379846 0.221851
+vn 0.293061 -0.293061 -0.001034
+v 2.671059 -0.701864 0.221851
+vn -0.000000 -0.000002 12.545240
+v 1.969194 0.000000 0.262060
+vn 0.158603 -0.382902 -0.001034
+v 2.349041 -0.917030 0.221851
+vn 0.000000 -0.414450 -0.001035
+v 1.969195 -0.992586 0.221851
+vn -0.158603 -0.382902 -0.001034
+v 1.589348 -0.917030 0.221851
+vn -0.293061 -0.293061 -0.001034
+v 1.267330 -0.701865 0.221851
+vn -0.382902 -0.158603 -0.001034
+v 1.052164 -0.379847 0.221851
+vn -0.414451 -0.000000 -0.001035
+v 0.976608 -0.000000 0.221851
+vn -0.382902 0.158603 -0.001035
+v 1.052164 0.379846 0.221852
+vn -0.293061 0.293061 -0.001035
+v 1.267330 0.701864 0.221852
+vn -0.158603 0.382902 -0.001035
+v 1.589348 0.917030 0.221852
+vn -0.000000 0.414450 -0.001034
+v 1.969194 0.992586 0.221852
+vn 0.158603 0.382902 -0.001035
+v 2.349040 0.917030 0.221852
+vn 0.293061 0.293061 -0.001034
+v 2.671058 0.701864 0.221852
+vn 0.382902 0.158603 -0.001034
+v 2.886224 0.379846 0.221852
+vn 0.414451 0.000001 -0.001035
+v 2.961780 0.000000 0.221851
+vn -0.000008 12.566368 -0.000000
+v 0.000000 -0.561441 0.000000
+vn 6.069087 5.235987 -0.000000
+v 0.081383 -0.561441 0.000000
+vn 5.255986 5.235990 -3.034542
+v 0.070480 -0.561441 -0.040692
+vn 0.000000 -12.566371 0.000000
+v -0.000000 -2.084521 0.000000
+vn 5.255986 -5.235988 -3.034540
+v 0.070480 -2.084521 -0.040692
+vn 6.069087 -5.235988 0.000004
+v 0.081383 -2.084521 0.000000
+vn 3.034549 5.235987 -5.255981
+v 0.040692 -0.561441 -0.070480
+vn 3.034550 -5.235990 -5.255981
+v 0.040691 -2.084521 -0.070480
+vn 0.000003 5.235986 -6.069087
+v 0.000000 -0.561441 -0.081383
+vn 0.000004 -5.235984 -6.069086
+v -0.000000 -2.084521 -0.081383
+vn -3.034544 5.235990 -5.255979
+v -0.040692 -0.561441 -0.070480
+vn -3.034543 -5.235991 -5.255985
+v -0.040692 -2.084521 -0.070480
+vn -5.256004 5.235986 -3.034550
+v -0.070480 -0.561441 -0.040692
+vn -5.255981 -5.235989 -3.034549
+v -0.070480 -2.084521 -0.040692
+vn -6.069103 5.235987 0.000003
+v -0.081383 -0.561441 0.000000
+vn -6.069096 -5.235986 -0.000007
+v -0.081384 -2.084521 0.000000
+vn -5.256007 5.235991 3.034549
+v -0.070480 -0.561441 0.040692
+vn -5.255994 -5.235988 3.034542
+v -0.070480 -2.084521 0.040692
+vn -3.034551 5.235987 5.255974
+v -0.040692 -0.561441 0.070480
+vn -3.034557 -5.235989 5.255986
+v -0.040692 -2.084521 0.070480
+vn -0.000000 5.235986 6.069087
+v -0.000000 -0.561441 0.081383
+vn -0.000008 -5.235987 6.069087
+v -0.000000 -2.084521 0.081383
+vn 3.034541 5.235992 5.255988
+v 0.040691 -0.561441 0.070480
+vn 3.034538 -5.235988 5.255987
+v 0.040691 -2.084521 0.070480
+vn 5.255979 5.235983 3.034549
+v 0.070480 -0.561441 0.040692
+vn 5.255981 -5.235987 3.034548
+v 0.070480 -2.084521 0.040692
+vn 0.158603 -0.382902 -0.001035
+v 0.379846 -2.886224 0.221852
+vn 0.000003 0.000000 -12.550662
+v -0.000000 -1.969194 0.187186
+vn 0.000001 -0.414451 -0.001034
+v 0.000000 -2.961780 0.221851
+vn -0.000003 0.000000 12.545240
+v -0.000000 -1.969194 0.262060
+vn 0.293061 -0.293061 -0.001035
+v 0.701864 -2.671058 0.221852
+vn 0.382902 -0.158603 -0.001034
+v 0.917030 -2.349040 0.221852
+vn 0.414450 0.000000 -0.001035
+v 0.992586 -1.969194 0.221852
+vn 0.382902 0.158603 -0.001034
+v 0.917030 -1.589348 0.221852
+vn 0.293061 0.293061 -0.001034
+v 0.701864 -1.267330 0.221852
+vn 0.158603 0.382902 -0.001035
+v 0.379846 -1.052164 0.221852
+vn -0.000000 0.414451 -0.001035
+v -0.000000 -0.976608 0.221851
+vn -0.158603 0.382902 -0.001035
+v -0.379847 -1.052164 0.221851
+vn -0.293061 0.293061 -0.001035
+v -0.701865 -1.267330 0.221851
+vn -0.382902 0.158603 -0.001034
+v -0.917030 -1.589348 0.221851
+vn -0.414450 0.000000 -0.001035
+v -0.992586 -1.969194 0.221851
+vn -0.382902 -0.158603 -0.001034
+v -0.917031 -2.349040 0.221851
+vn -0.293061 -0.293060 -0.001035
+v -0.701865 -2.671059 0.221851
+vn -0.158603 -0.382901 -0.001035
+v -0.379847 -2.886225 0.221851
+vn -0.414451 -0.000000 -0.001035
+v -2.961780 0.000000 0.221851
+vn -0.382901 0.158603 -0.001034
+v -2.886225 0.379847 0.221851
+vn 0.000000 -0.000003 -12.550660
+v -1.969194 0.000001 0.187186
+vn 0.000000 0.000003 12.545241
+v -1.969194 0.000001 0.262060
+vn -0.293060 0.293061 -0.001034
+v -2.671059 0.701865 0.221851
+vn -0.158603 0.382902 -0.001035
+v -2.349040 0.917031 0.221851
+vn 0.000000 0.414450 -0.001035
+v -1.969194 0.992587 0.221851
+vn 0.158603 0.382902 -0.001035
+v -1.589348 0.917031 0.221851
+vn 0.293061 0.293061 -0.001034
+v -1.267330 0.701865 0.221851
+vn 0.382902 0.158603 -0.001034
+v -1.052164 0.379847 0.221851
+vn 0.414451 0.000000 -0.001035
+v -0.976608 0.000000 0.221851
+vn 0.382902 -0.158603 -0.001034
+v -1.052164 -0.379846 0.221852
+vn 0.293061 -0.293061 -0.001034
+v -1.267330 -0.701864 0.221852
+vn 0.158603 -0.382902 -0.001034
+v -1.589348 -0.917029 0.221852
+vn 0.000000 -0.414450 -0.001034
+v -1.969194 -0.992585 0.221852
+vn -0.158603 -0.382902 -0.001034
+v -2.349041 -0.917029 0.221852
+vn -0.293061 -0.293061 -0.001034
+v -2.671058 -0.701864 0.221852
+vn -0.382902 -0.158603 -0.001035
+v -2.886224 -0.379846 0.221852
+vn 5.235981 -5.255978 3.034548
+v -0.561441 -0.070480 0.040692
+vn 5.235986 -6.069087 -0.000000
+v -0.561441 -0.081383 0.000000
+vn -5.235989 -6.069088 0.000004
+v -2.084521 -0.081383 0.000000
+vn -5.235990 -5.255980 3.034549
+v -2.084521 -0.070479 0.040692
+vn 5.235992 -3.034540 5.255989
+v -0.561441 -0.040691 0.070480
+vn -5.235989 -3.034539 5.255987
+v -2.084521 -0.040691 0.070480
+vn 5.235986 0.000001 6.069087
+v -0.561441 0.000000 0.081383
+vn -5.235987 0.000008 6.069087
+v -2.084521 0.000001 0.081383
+vn 5.235988 3.034551 5.255973
+v -0.561441 0.040692 0.070480
+vn -5.235989 3.034557 5.255987
+v -2.084521 0.040692 0.070480
+vn 5.235992 5.256007 3.034549
+v -0.561441 0.070480 0.040692
+vn -5.235987 5.255994 3.034543
+v -2.084521 0.070481 0.040692
+vn 5.235989 6.069104 0.000003
+v -0.561441 0.081383 0.000000
+vn -5.235985 6.069095 -0.000007
+v -2.084521 0.081384 0.000000
+vn 5.235990 5.256006 -3.034548
+v -0.561441 0.070480 -0.040692
+vn -5.235988 5.255981 -3.034549
+v -2.084521 0.070480 -0.040692
+vn 5.235989 3.034546 -5.255977
+v -0.561441 0.040692 -0.070480
+vn -5.235990 3.034543 -5.255985
+v -2.084521 0.040692 -0.070480
+vn 5.235987 -0.000001 -6.069087
+v -0.561441 0.000000 -0.081383
+vn -5.235984 -0.000004 -6.069086
+v -2.084521 0.000000 -0.081383
+vn 5.235985 -3.034547 -5.255981
+v -0.561441 -0.040691 -0.070480
+vn -5.235991 -3.034550 -5.255980
+v -2.084521 -0.040691 -0.070480
+vn 5.235989 -5.255986 -3.034541
+v -0.561441 -0.070480 -0.040692
+vn -5.235990 -5.255986 -3.034541
+v -2.084521 -0.070479 -0.040692
+vn -12.566370 0.000000 0.000000
+v -2.084521 0.000001 0.000000
+vn 12.566370 0.000008 -0.000000
+v -0.561441 0.000000 0.000000
+vn 0.000008 -12.566371 -0.000000
+v 0.000000 0.561441 0.000000
+vn -6.069087 -5.235986 -0.000000
+v -0.081383 0.561441 0.000000
+vn -5.255983 -5.235986 -3.034544
+v -0.070480 0.561441 -0.040692
+vn 0.000000 12.566370 0.000000
+v 0.000001 2.084521 0.000000
+vn -5.255984 5.235989 -3.034543
+v -0.070479 2.084521 -0.040692
+vn -6.069086 5.235986 0.000008
+v -0.081382 2.084521 0.000000
+vn -3.034545 -5.235988 -5.255983
+v -0.040691 0.561441 -0.070480
+vn -3.034548 5.235993 -5.255983
+v -0.040691 2.084521 -0.070480
+vn -0.000002 -5.235987 -6.069087
+v 0.000000 0.561441 -0.081383
+vn -0.000004 5.235984 -6.069086
+v 0.000001 2.084521 -0.081383
+vn 3.034546 -5.235990 -5.255977
+v 0.040692 0.561441 -0.070480
+vn 3.034543 5.235989 -5.255985
+v 0.040692 2.084521 -0.070480
+vn 5.256006 -5.235992 -3.034552
+v 0.070480 0.561441 -0.040692
+vn 5.255981 5.235987 -3.034550
+v 0.070481 2.084521 -0.040692
+vn 6.069102 -5.235987 -0.000002
+v 0.081384 0.561441 0.000000
+vn 6.069095 5.235984 -0.000008
+v 0.081384 2.084521 0.000000
+vn 5.256007 -5.235992 3.034549
+v 0.070480 0.561441 0.040692
+vn 5.255994 5.235986 3.034542
+v 0.070481 2.084521 0.040692
+vn 3.034550 -5.235988 5.255974
+v 0.040692 0.561441 0.070480
+vn 3.034556 5.235989 5.255987
+v 0.040693 2.084521 0.070480
+vn 0.000000 -5.235987 6.069087
+v 0.000000 0.561441 0.081383
+vn 0.000009 5.235988 6.069088
+v 0.000001 2.084521 0.081383
+vn -3.034540 -5.235992 5.255989
+v -0.040691 0.561441 0.070480
+vn -3.034540 5.235986 5.255985
+v -0.040691 2.084521 0.070480
+vn -5.255979 -5.235981 3.034548
+v -0.070480 0.561441 0.040692
+vn -5.255982 5.235995 3.034551
+v -0.070479 2.084521 0.040692
+vn -0.158603 0.382902 -0.001035
+v -0.379845 2.886224 0.221852
+vn -0.000003 -0.000000 -12.550661
+v 0.000001 1.969194 0.187186
+vn -0.000000 0.414451 -0.001034
+v 0.000001 2.961780 0.221851
+vn 0.000003 -0.000000 12.545241
+v 0.000001 1.969194 0.262060
+vn -0.293061 0.293061 -0.001034
+v -0.701863 2.671058 0.221852
+vn -0.382902 0.158603 -0.001034
+v -0.917029 2.349041 0.221852
+vn -0.414450 0.000000 -0.001035
+v -0.992585 1.969195 0.221852
+vn -0.382902 -0.158603 -0.001034
+v -0.917029 1.589348 0.221852
+vn -0.293061 -0.293061 -0.001035
+v -0.701864 1.267330 0.221852
+vn -0.158603 -0.382902 -0.001035
+v -0.379846 1.052164 0.221852
+vn -0.000000 -0.414451 -0.001034
+v 0.000001 0.976608 0.221851
+vn 0.158603 -0.382902 -0.001035
+v 0.379847 1.052164 0.221851
+vn 0.293061 -0.293061 -0.001034
+v 0.701865 1.267330 0.221851
+vn 0.382902 -0.158603 -0.001035
+v 0.917031 1.589348 0.221851
+vn 0.414450 -0.000000 -0.001035
+v 0.992587 1.969194 0.221851
+vn 0.382902 0.158603 -0.001035
+v 0.917031 2.349040 0.221851
+vn 0.293061 0.293060 -0.001034
+v 0.701866 2.671059 0.221851
+vn 0.158603 0.382901 -0.001034
+v 0.379847 2.886225 0.221851
+vn 2.221441 5.363034 -4.712390
+v 0.336934 0.561557 -0.299497
+vn 2.221442 -5.363034 -4.712392
+v 0.336934 -0.561557 -0.299497
+vn -2.221441 -5.363034 -4.712388
+v -0.336934 -0.561557 -0.299497
+vn -2.221440 5.363033 -4.712384
+v -0.336934 0.561558 -0.299497
+vn 2.221442 5.363033 4.712387
+v 0.336935 0.561557 0.299497
+vn 2.221439 -5.363034 4.712385
+v 0.336934 -0.561558 0.299497
+vn -2.221441 -5.363034 4.712389
+v -0.336934 -0.561557 0.299497
+vn -2.221442 5.363035 4.712392
+v -0.336934 0.561557 0.299497
+vn 5.363035 2.221442 -4.712393
+v 0.561557 0.336934 -0.299497
+vn -5.363034 2.221443 -4.712390
+v -0.561557 0.336935 -0.299497
+vn 5.363034 2.221440 4.712386
+v 0.561558 0.336934 0.299497
+vn -5.363035 2.221442 4.712391
+v -0.561557 0.336934 0.299497
+vn 5.363035 -2.221442 -4.712392
+v 0.561557 -0.336934 -0.299497
+vn -5.363034 -2.221440 -4.712389
+v -0.561557 -0.336934 -0.299497
+vn 5.363033 -2.221442 4.712387
+v 0.561557 -0.336935 0.299497
+vn -5.363034 -2.221441 4.712388
+v -0.561557 -0.336934 0.299497
+# 300 vertices, 0 vertices normals
+
+f 61//61 37//37 38//38
+f 62//62 50//50 49//49
+f 61//61 38//38 39//39
+f 62//62 51//51 50//50
+f 61//61 39//39 40//40
+f 62//62 52//52 51//51
+f 61//61 40//40 41//41
+f 62//62 53//53 52//52
+f 61//61 41//41 42//42
+f 62//62 54//54 53//53
+f 61//61 42//42 43//43
+f 62//62 55//55 54//54
+f 61//61 43//43 44//44
+f 62//62 56//56 55//55
+f 61//61 44//44 45//45
+f 62//62 57//57 56//56
+f 61//61 45//45 46//46
+f 62//62 58//58 57//57
+f 61//61 46//46 47//47
+f 62//62 59//59 58//58
+f 61//61 47//47 48//48
+f 62//62 60//60 59//59
+f 48//48 37//37 61//61
+f 62//62 49//49 60//60
+f 49//49 37//37 48//48
+f 49//49 48//48 60//60
+f 47//47 59//59 60//60
+f 47//47 60//60 48//48
+f 46//46 58//58 59//59
+f 46//46 59//59 47//47
+f 45//45 57//57 58//58
+f 45//45 58//58 46//46
+f 44//44 56//56 57//57
+f 44//44 57//57 45//45
+f 43//43 55//55 56//56
+f 43//43 56//56 44//44
+f 42//42 54//54 55//55
+f 42//42 55//55 43//43
+f 41//41 53//53 54//54
+f 41//41 54//54 42//42
+f 40//40 52//52 53//53
+f 40//40 53//53 41//41
+f 39//39 51//51 52//52
+f 39//39 52//52 40//40
+f 38//38 50//50 51//51
+f 38//38 51//51 39//39
+f 37//37 49//49 50//50
+f 37//37 50//50 38//38
+f 152//152 136//136 135//135
+f 138//138 136//136 152//152
+f 137//137 139//139 135//135
+f 138//138 139//139 137//137
+f 140//140 141//141 135//135
+f 138//138 141//141 140//140
+f 142//142 143//143 135//135
+f 138//138 143//143 142//142
+f 144//144 145//145 135//135
+f 138//138 145//145 144//144
+f 146//146 147//147 135//135
+f 138//138 147//147 146//146
+f 148//148 149//149 135//135
+f 138//138 149//149 148//148
+f 150//150 151//151 135//135
+f 138//138 151//151 150//150
+f 182//182 179//179 183//183
+f 183//183 179//179 180//180
+f 182//182 184//184 185//185
+f 185//185 184//184 180//180
+f 182//182 186//186 187//187
+f 187//187 186//186 180//180
+f 182//182 188//188 189//189
+f 189//189 188//188 180//180
+f 182//182 190//190 191//191
+f 191//191 190//190 180//180
+f 182//182 192//192 193//193
+f 193//193 192//192 180//180
+f 182//182 194//194 195//195
+f 195//195 194//194 180//180
+f 182//182 196//196 181//181
+f 181//181 196//196 180//180
+f 197//197 198//198 199//199
+f 200//200 198//198 197//197
+f 201//201 202//202 199//199
+f 200//200 202//202 201//201
+f 203//203 204//204 199//199
+f 200//200 204//204 203//203
+f 205//205 206//206 199//199
+f 200//200 206//206 205//205
+f 207//207 208//208 199//199
+f 200//200 208//208 207//207
+f 209//209 210//210 199//199
+f 200//200 210//210 209//209
+f 211//211 212//212 199//199
+f 200//200 212//212 211//211
+f 213//213 214//214 199//199
+f 200//200 214//214 213//213
+f 270//270 267//267 271//271
+f 271//271 267//267 268//268
+f 270//270 272//272 273//273
+f 273//273 272//272 268//268
+f 270//270 274//274 275//275
+f 275//275 274//274 268//268
+f 270//270 276//276 277//277
+f 277//277 276//276 268//268
+f 270//270 278//278 279//279
+f 279//279 278//278 268//268
+f 270//270 280//280 281//281
+f 281//281 280//280 268//268
+f 270//270 282//282 283//283
+f 283//283 282//282 268//268
+f 270//270 284//284 269//269
+f 269//269 284//284 268//268
+f 17//17 1//1 4//4
+f 3//3 2//2 18//18
+f 17//17 4//4 6//6
+f 18//18 5//5 3//3
+f 17//17 6//6 8//8
+f 18//18 7//7 5//5
+f 17//17 8//8 10//10
+f 18//18 9//9 7//7
+f 17//17 10//10 12//12
+f 18//18 11//11 9//9
+f 17//17 12//12 14//14
+f 18//18 13//13 11//11
+f 17//17 14//14 16//16
+f 18//18 15//15 13//13
+f 16//16 1//1 17//17
+f 18//18 2//2 15//15
+f 19//19 21//21 20//20
+f 22//22 24//24 23//23
+f 19//19 20//20 25//25
+f 22//22 26//26 24//24
+f 19//19 25//25 27//27
+f 22//22 28//28 26//26
+f 19//19 27//27 29//29
+f 22//22 30//30 28//28
+f 19//19 29//29 31//31
+f 22//22 32//32 30//30
+f 19//19 31//31 33//33
+f 22//22 34//34 32//32
+f 19//19 33//33 35//35
+f 22//22 36//36 34//34
+f 35//35 21//21 19//19
+f 36//36 22//22 23//23
+f 79//79 63//63 64//64
+f 80//80 72//72 71//71
+f 79//79 64//64 65//65
+f 80//80 73//73 72//72
+f 79//79 65//65 66//66
+f 80//80 74//74 73//73
+f 79//79 66//66 67//67
+f 80//80 75//75 74//74
+f 79//79 67//67 68//68
+f 80//80 76//76 75//75
+f 79//79 68//68 69//69
+f 80//80 77//77 76//76
+f 79//79 69//69 70//70
+f 80//80 78//78 77//77
+f 70//70 63//63 79//79
+f 80//80 71//71 78//78
+f 97//97 81//81 84//84
+f 83//83 82//82 98//98
+f 97//97 84//84 86//86
+f 98//98 85//85 83//83
+f 97//97 86//86 88//88
+f 98//98 87//87 85//85
+f 97//97 88//88 90//90
+f 98//98 89//89 87//87
+f 97//97 90//90 92//92
+f 98//98 91//91 89//89
+f 97//97 92//92 94//94
+f 98//98 93//93 91//91
+f 97//97 94//94 96//96
+f 98//98 95//95 93//93
+f 97//97 96//96 81//81
+f 98//98 82//82 95//95
+f 99//99 101//101 100//100
+f 102//102 104//104 103//103
+f 99//99 100//100 105//105
+f 102//102 106//106 104//104
+f 99//99 105//105 107//107
+f 102//102 108//108 106//106
+f 99//99 107//107 109//109
+f 102//102 110//110 108//108
+f 99//99 109//109 111//111
+f 102//102 112//112 110//110
+f 99//99 111//111 113//113
+f 102//102 114//114 112//112
+f 99//99 113//113 115//115
+f 102//102 116//116 114//114
+f 115//115 101//101 99//99
+f 102//102 103//103 116//116
+f 133//133 117//117 120//120
+f 119//119 118//118 134//134
+f 133//133 120//120 122//122
+f 134//134 121//121 119//119
+f 133//133 122//122 124//124
+f 134//134 123//123 121//121
+f 133//133 124//124 126//126
+f 134//134 125//125 123//123
+f 133//133 126//126 128//128
+f 134//134 127//127 125//125
+f 133//133 128//128 130//130
+f 134//134 129//129 127//127
+f 133//133 130//130 132//132
+f 134//134 131//131 129//129
+f 133//133 132//132 117//117
+f 134//134 118//118 131//131
+f 153//153 154//154 155//155
+f 156//156 157//157 158//158
+f 153//153 155//155 159//159
+f 156//156 160//160 157//157
+f 153//153 159//159 161//161
+f 156//156 162//162 160//160
+f 153//153 161//161 163//163
+f 156//156 164//164 162//162
+f 153//153 163//163 165//165
+f 156//156 166//166 164//164
+f 153//153 165//165 167//167
+f 156//156 168//168 166//166
+f 153//153 167//167 169//169
+f 156//156 170//170 168//168
+f 153//153 169//169 171//171
+f 156//156 172//172 170//170
+f 153//153 171//171 173//173
+f 156//156 174//174 172//172
+f 153//153 173//173 175//175
+f 156//156 176//176 174//174
+f 153//153 175//175 177//177
+f 156//156 178//178 176//176
+f 153//153 177//177 154//154
+f 156//156 158//158 178//178
+f 239//239 217//217 218//218
+f 240//240 215//215 216//216
+f 239//239 218//218 220//220
+f 240//240 219//219 215//215
+f 239//239 220//220 222//222
+f 240//240 221//221 219//219
+f 239//239 222//222 224//224
+f 240//240 223//223 221//221
+f 239//239 224//224 226//226
+f 240//240 225//225 223//223
+f 239//239 226//226 228//228
+f 240//240 227//227 225//225
+f 239//239 228//228 230//230
+f 240//240 229//229 227//227
+f 239//239 230//230 232//232
+f 240//240 231//231 229//229
+f 239//239 232//232 234//234
+f 240//240 233//233 231//231
+f 239//239 234//234 236//236
+f 240//240 235//235 233//233
+f 239//239 236//236 238//238
+f 240//240 237//237 235//235
+f 239//239 238//238 217//217
+f 240//240 216//216 237//237
+f 241//241 242//242 243//243
+f 244//244 245//245 246//246
+f 241//241 243//243 247//247
+f 244//244 248//248 245//245
+f 241//241 247//247 249//249
+f 244//244 250//250 248//248
+f 241//241 249//249 251//251
+f 244//244 252//252 250//250
+f 241//241 251//251 253//253
+f 244//244 254//254 252//252
+f 241//241 253//253 255//255
+f 244//244 256//256 254//254
+f 241//241 255//255 257//257
+f 244//244 258//258 256//256
+f 241//241 257//257 259//259
+f 244//244 260//260 258//258
+f 241//241 259//259 261//261
+f 244//244 262//262 260//260
+f 241//241 261//261 263//263
+f 244//244 264//264 262//262
+f 241//241 263//263 265//265
+f 244//244 266//266 264//264
+f 241//241 265//265 242//242
+f 244//244 246//246 266//266
+f 300//300 296//296 298//298
+f 296//296 294//294 298//298
+f 291//291 300//300 298//298
+f 291//291 298//298 287//287
+f 299//299 290//290 286//286
+f 299//299 286//286 297//297
+f 295//295 299//299 297//297
+f 295//295 297//297 293//293
+f 300//300 291//291 299//299
+f 291//291 290//290 299//299
+f 296//296 300//300 299//299
+f 296//296 299//299 295//295
+f 297//297 286//286 287//287
+f 297//297 287//287 298//298
+f 293//293 297//297 298//298
+f 293//293 298//298 294//294
+f 296//296 292//292 294//294
+f 292//292 288//288 294//294
+f 293//293 285//285 289//289
+f 293//293 289//289 295//295
+f 292//292 296//296 289//289
+f 296//296 295//295 289//289
+f 285//285 293//293 294//294
+f 285//285 294//294 288//288
+f 289//289 285//285 292//292
+f 285//285 288//288 292//292
+f 286//286 290//290 291//291
+f 286//286 291//291 287//287
+f 265//265 246//246 242//242
+f 265//265 266//266 246//246
+f 263//263 266//266 265//265
+f 263//263 264//264 266//266
+f 261//261 264//264 263//263
+f 261//261 262//262 264//264
+f 259//259 262//262 261//261
+f 259//259 260//260 262//262
+f 257//257 260//260 259//259
+f 257//257 258//258 260//260
+f 255//255 258//258 257//257
+f 255//255 256//256 258//258
+f 253//253 256//256 255//255
+f 253//253 254//254 256//256
+f 251//251 254//254 253//253
+f 251//251 252//252 254//254
+f 249//249 252//252 251//251
+f 249//249 250//250 252//252
+f 247//247 250//250 249//249
+f 247//247 248//248 250//250
+f 243//243 248//248 247//247
+f 243//243 245//245 248//248
+f 242//242 245//245 243//243
+f 242//242 246//246 245//245
+f 216//216 217//217 238//238
+f 216//216 238//238 237//237
+f 237//237 238//238 236//236
+f 237//237 236//236 235//235
+f 235//235 236//236 234//234
+f 235//235 234//234 233//233
+f 233//233 234//234 232//232
+f 233//233 232//232 231//231
+f 231//231 232//232 230//230
+f 231//231 230//230 229//229
+f 229//229 230//230 228//228
+f 229//229 228//228 227//227
+f 227//227 228//228 226//226
+f 227//227 226//226 225//225
+f 225//225 226//226 224//224
+f 225//225 224//224 223//223
+f 223//223 224//224 222//222
+f 223//223 222//222 221//221
+f 221//221 222//222 220//220
+f 221//221 220//220 219//219
+f 219//219 220//220 218//218
+f 219//219 218//218 215//215
+f 215//215 218//218 217//217
+f 215//215 217//217 216//216
+f 177//177 158//158 154//154
+f 177//177 178//178 158//158
+f 175//175 178//178 177//177
+f 175//175 176//176 178//178
+f 173//173 176//176 175//175
+f 173//173 174//174 176//176
+f 171//171 174//174 173//173
+f 171//171 172//172 174//174
+f 169//169 172//172 171//171
+f 169//169 170//170 172//172
+f 167//167 170//170 169//169
+f 167//167 168//168 170//170
+f 165//165 168//168 167//167
+f 165//165 166//166 168//168
+f 163//163 166//166 165//165
+f 163//163 164//164 166//166
+f 161//161 164//164 163//163
+f 161//161 162//162 164//164
+f 159//159 162//162 161//161
+f 159//159 160//160 162//162
+f 155//155 160//160 159//159
+f 155//155 157//157 160//160
+f 154//154 157//157 155//155
+f 154//154 158//158 157//157
+f 118//118 132//132 131//131
+f 118//118 117//117 132//132
+f 131//131 132//132 129//129
+f 129//129 132//132 130//130
+f 129//129 130//130 127//127
+f 127//127 130//130 128//128
+f 127//127 128//128 125//125
+f 125//125 128//128 126//126
+f 125//125 126//126 123//123
+f 123//123 126//126 124//124
+f 123//123 122//122 121//121
+f 123//123 124//124 122//122
+f 121//121 120//120 119//119
+f 121//121 122//122 120//120
+f 117//117 119//119 120//120
+f 117//117 118//118 119//119
+f 103//103 101//101 115//115
+f 103//103 115//115 116//116
+f 113//113 114//114 116//116
+f 113//113 116//116 115//115
+f 111//111 112//112 114//114
+f 111//111 114//114 113//113
+f 109//109 110//110 111//111
+f 110//110 112//112 111//111
+f 107//107 108//108 109//109
+f 108//108 110//110 109//109
+f 105//105 106//106 107//107
+f 106//106 108//108 107//107
+f 100//100 104//104 105//105
+f 104//104 106//106 105//105
+f 101//101 103//103 104//104
+f 101//101 104//104 100//100
+f 82//82 96//96 95//95
+f 82//82 81//81 96//96
+f 95//95 96//96 93//93
+f 93//93 96//96 94//94
+f 93//93 94//94 91//91
+f 91//91 94//94 92//92
+f 91//91 92//92 89//89
+f 89//89 92//92 90//90
+f 89//89 90//90 87//87
+f 87//87 90//90 88//88
+f 87//87 86//86 85//85
+f 87//87 88//88 86//86
+f 85//85 84//84 83//83
+f 85//85 86//86 84//84
+f 81//81 83//83 84//84
+f 81//81 82//82 83//83
+f 71//71 63//63 70//70
+f 71//71 70//70 78//78
+f 69//69 77//77 78//78
+f 69//69 78//78 70//70
+f 68//68 76//76 77//77
+f 68//68 77//77 69//69
+f 67//67 75//75 68//68
+f 75//75 76//76 68//68
+f 66//66 74//74 67//67
+f 74//74 75//75 67//67
+f 65//65 73//73 66//66
+f 73//73 74//74 66//66
+f 64//64 72//72 65//65
+f 72//72 73//73 65//65
+f 63//63 71//71 72//72
+f 63//63 72//72 64//64
+f 23//23 21//21 35//35
+f 23//23 35//35 36//36
+f 33//33 34//34 36//36
+f 33//33 36//36 35//35
+f 31//31 32//32 34//34
+f 31//31 34//34 33//33
+f 29//29 30//30 32//32
+f 29//29 32//32 31//31
+f 27//27 28//28 30//30
+f 27//27 30//30 29//29
+f 25//25 26//26 28//28
+f 25//25 28//28 27//27
+f 20//20 24//24 26//26
+f 20//20 26//26 25//25
+f 24//24 20//20 21//21
+f 24//24 21//21 23//23
+f 2//2 1//1 16//16
+f 16//16 15//15 2//2
+f 15//15 14//14 13//13
+f 15//15 16//16 14//14
+f 13//13 12//12 11//11
+f 13//13 14//14 12//12
+f 11//11 10//10 9//9
+f 11//11 12//12 10//10
+f 9//9 8//8 7//7
+f 9//9 10//10 8//8
+f 7//7 6//6 5//5
+f 7//7 8//8 6//6
+f 5//5 4//4 3//3
+f 5//5 6//6 4//4
+f 1//1 3//3 4//4
+f 1//1 2//2 3//3
+f 138//138 137//137 136//136
+f 136//136 137//137 135//135
+f 138//138 140//140 139//139
+f 139//139 140//140 135//135
+f 138//138 142//142 141//141
+f 141//141 142//142 135//135
+f 138//138 144//144 143//143
+f 143//143 144//144 135//135
+f 138//138 146//146 145//145
+f 145//145 146//146 135//135
+f 138//138 148//148 147//147
+f 147//147 148//148 135//135
+f 138//138 150//150 149//149
+f 149//149 150//150 135//135
+f 138//138 152//152 151//151
+f 151//151 152//152 135//135
+f 179//179 181//181 180//180
+f 182//182 181//181 179//179
+f 184//184 183//183 180//180
+f 182//182 183//183 184//184
+f 186//186 185//185 180//180
+f 182//182 185//185 186//186
+f 188//188 187//187 180//180
+f 182//182 187//187 188//188
+f 190//190 189//189 180//180
+f 182//182 189//189 190//190
+f 192//192 191//191 180//180
+f 182//182 191//191 192//192
+f 194//194 193//193 180//180
+f 182//182 193//193 194//194
+f 196//196 195//195 180//180
+f 182//182 195//195 196//196
+f 200//200 201//201 198//198
+f 198//198 201//201 199//199
+f 200//200 203//203 202//202
+f 202//202 203//203 199//199
+f 200//200 205//205 204//204
+f 204//204 205//205 199//199
+f 200//200 207//207 206//206
+f 206//206 207//207 199//199
+f 200//200 209//209 208//208
+f 208//208 209//209 199//199
+f 200//200 211//211 210//210
+f 210//210 211//211 199//199
+f 200//200 213//213 212//212
+f 212//212 213//213 199//199
+f 200//200 197//197 214//214
+f 214//214 197//197 199//199
+f 267//267 269//269 268//268
+f 270//270 269//269 267//267
+f 272//272 271//271 268//268
+f 270//270 271//271 272//272
+f 274//274 273//273 268//268
+f 270//270 273//273 274//274
+f 276//276 275//275 268//268
+f 270//270 275//275 276//276
+f 278//278 277//277 268//268
+f 270//270 277//277 278//278
+f 280//280 279//279 268//268
+f 270//270 279//279 280//280
+f 282//282 281//281 268//268
+f 270//270 281//281 282//282
+f 284//284 283//283 268//268
+f 270//270 283//283 284//284
+f 61//61 37//37 38//38
+f 62//62 50//50 49//49
+f 61//61 38//38 39//39
+f 62//62 51//51 50//50
+f 61//61 39//39 40//40
+f 62//62 52//52 51//51
+f 61//61 40//40 41//41
+f 62//62 53//53 52//52
+f 61//61 41//41 42//42
+f 62//62 54//54 53//53
+f 61//61 42//42 43//43
+f 62//62 55//55 54//54
+f 61//61 43//43 44//44
+f 62//62 56//56 55//55
+f 61//61 44//44 45//45
+f 62//62 57//57 56//56
+f 61//61 45//45 46//46
+f 62//62 58//58 57//57
+f 61//61 46//46 47//47
+f 62//62 59//59 58//58
+f 61//61 47//47 48//48
+f 62//62 60//60 59//59
+f 48//48 37//37 61//61
+f 62//62 49//49 60//60
+f 49//49 37//37 48//48
+f 49//49 48//48 60//60
+f 47//47 59//59 60//60
+f 47//47 60//60 48//48
+f 46//46 58//58 59//59
+f 46//46 59//59 47//47
+f 45//45 57//57 58//58
+f 45//45 58//58 46//46
+f 44//44 56//56 57//57
+f 44//44 57//57 45//45
+f 43//43 55//55 56//56
+f 43//43 56//56 44//44
+f 42//42 54//54 55//55
+f 42//42 55//55 43//43
+f 41//41 53//53 54//54
+f 41//41 54//54 42//42
+f 40//40 52//52 53//53
+f 40//40 53//53 41//41
+f 39//39 51//51 52//52
+f 39//39 52//52 40//40
+f 38//38 50//50 51//51
+f 38//38 51//51 39//39
+f 37//37 49//49 50//50
+f 37//37 50//50 38//38
+f 152//152 136//136 135//135
+f 138//138 136//136 152//152
+f 137//137 139//139 135//135
+f 138//138 139//139 137//137
+f 140//140 141//141 135//135
+f 138//138 141//141 140//140
+f 142//142 143//143 135//135
+f 138//138 143//143 142//142
+f 144//144 145//145 135//135
+f 138//138 145//145 144//144
+f 146//146 147//147 135//135
+f 138//138 147//147 146//146
+f 148//148 149//149 135//135
+f 138//138 149//149 148//148
+f 150//150 151//151 135//135
+f 138//138 151//151 150//150
+f 182//182 179//179 183//183
+f 183//183 179//179 180//180
+f 182//182 184//184 185//185
+f 185//185 184//184 180//180
+f 182//182 186//186 187//187
+f 187//187 186//186 180//180
+f 182//182 188//188 189//189
+f 189//189 188//188 180//180
+f 182//182 190//190 191//191
+f 191//191 190//190 180//180
+f 182//182 192//192 193//193
+f 193//193 192//192 180//180
+f 182//182 194//194 195//195
+f 195//195 194//194 180//180
+f 182//182 196//196 181//181
+f 181//181 196//196 180//180
+f 197//197 198//198 199//199
+f 200//200 198//198 197//197
+f 201//201 202//202 199//199
+f 200//200 202//202 201//201
+f 203//203 204//204 199//199
+f 200//200 204//204 203//203
+f 205//205 206//206 199//199
+f 200//200 206//206 205//205
+f 207//207 208//208 199//199
+f 200//200 208//208 207//207
+f 209//209 210//210 199//199
+f 200//200 210//210 209//209
+f 211//211 212//212 199//199
+f 200//200 212//212 211//211
+f 213//213 214//214 199//199
+f 200//200 214//214 213//213
+f 270//270 267//267 271//271
+f 271//271 267//267 268//268
+f 270//270 272//272 273//273
+f 273//273 272//272 268//268
+f 270//270 274//274 275//275
+f 275//275 274//274 268//268
+f 270//270 276//276 277//277
+f 277//277 276//276 268//268
+f 270//270 278//278 279//279
+f 279//279 278//278 268//268
+f 270//270 280//280 281//281
+f 281//281 280//280 268//268
+f 270//270 282//282 283//283
+f 283//283 282//282 268//268
+f 270//270 284//284 269//269
+f 269//269 284//284 268//268
+f 17//17 1//1 4//4
+f 3//3 2//2 18//18
+f 17//17 4//4 6//6
+f 18//18 5//5 3//3
+f 17//17 6//6 8//8
+f 18//18 7//7 5//5
+f 17//17 8//8 10//10
+f 18//18 9//9 7//7
+f 17//17 10//10 12//12
+f 18//18 11//11 9//9
+f 17//17 12//12 14//14
+f 18//18 13//13 11//11
+f 17//17 14//14 16//16
+f 18//18 15//15 13//13
+f 16//16 1//1 17//17
+f 18//18 2//2 15//15
+f 19//19 21//21 20//20
+f 22//22 24//24 23//23
+f 19//19 20//20 25//25
+f 22//22 26//26 24//24
+f 19//19 25//25 27//27
+f 22//22 28//28 26//26
+f 19//19 27//27 29//29
+f 22//22 30//30 28//28
+f 19//19 29//29 31//31
+f 22//22 32//32 30//30
+f 19//19 31//31 33//33
+f 22//22 34//34 32//32
+f 19//19 33//33 35//35
+f 22//22 36//36 34//34
+f 35//35 21//21 19//19
+f 36//36 22//22 23//23
+f 79//79 63//63 64//64
+f 80//80 72//72 71//71
+f 79//79 64//64 65//65
+f 80//80 73//73 72//72
+f 79//79 65//65 66//66
+f 80//80 74//74 73//73
+f 79//79 66//66 67//67
+f 80//80 75//75 74//74
+f 79//79 67//67 68//68
+f 80//80 76//76 75//75
+f 79//79 68//68 69//69
+f 80//80 77//77 76//76
+f 79//79 69//69 70//70
+f 80//80 78//78 77//77
+f 70//70 63//63 79//79
+f 80//80 71//71 78//78
+f 97//97 81//81 84//84
+f 83//83 82//82 98//98
+f 97//97 84//84 86//86
+f 98//98 85//85 83//83
+f 97//97 86//86 88//88
+f 98//98 87//87 85//85
+f 97//97 88//88 90//90
+f 98//98 89//89 87//87
+f 97//97 90//90 92//92
+f 98//98 91//91 89//89
+f 97//97 92//92 94//94
+f 98//98 93//93 91//91
+f 97//97 94//94 96//96
+f 98//98 95//95 93//93
+f 97//97 96//96 81//81
+f 98//98 82//82 95//95
+f 99//99 101//101 100//100
+f 102//102 104//104 103//103
+f 99//99 100//100 105//105
+f 102//102 106//106 104//104
+f 99//99 105//105 107//107
+f 102//102 108//108 106//106
+f 99//99 107//107 109//109
+f 102//102 110//110 108//108
+f 99//99 109//109 111//111
+f 102//102 112//112 110//110
+f 99//99 111//111 113//113
+f 102//102 114//114 112//112
+f 99//99 113//113 115//115
+f 102//102 116//116 114//114
+f 115//115 101//101 99//99
+f 102//102 103//103 116//116
+f 133//133 117//117 120//120
+f 119//119 118//118 134//134
+f 133//133 120//120 122//122
+f 134//134 121//121 119//119
+f 133//133 122//122 124//124
+f 134//134 123//123 121//121
+f 133//133 124//124 126//126
+f 134//134 125//125 123//123
+f 133//133 126//126 128//128
+f 134//134 127//127 125//125
+f 133//133 128//128 130//130
+f 134//134 129//129 127//127
+f 133//133 130//130 132//132
+f 134//134 131//131 129//129
+f 133//133 132//132 117//117
+f 134//134 118//118 131//131
+f 153//153 154//154 155//155
+f 156//156 157//157 158//158
+f 153//153 155//155 159//159
+f 156//156 160//160 157//157
+f 153//153 159//159 161//161
+f 156//156 162//162 160//160
+f 153//153 161//161 163//163
+f 156//156 164//164 162//162
+f 153//153 163//163 165//165
+f 156//156 166//166 164//164
+f 153//153 165//165 167//167
+f 156//156 168//168 166//166
+f 153//153 167//167 169//169
+f 156//156 170//170 168//168
+f 153//153 169//169 171//171
+f 156//156 172//172 170//170
+f 153//153 171//171 173//173
+f 156//156 174//174 172//172
+f 153//153 173//173 175//175
+f 156//156 176//176 174//174
+f 153//153 175//175 177//177
+f 156//156 178//178 176//176
+f 153//153 177//177 154//154
+f 156//156 158//158 178//178
+f 239//239 217//217 218//218
+f 240//240 215//215 216//216
+f 239//239 218//218 220//220
+f 240//240 219//219 215//215
+f 239//239 220//220 222//222
+f 240//240 221//221 219//219
+f 239//239 222//222 224//224
+f 240//240 223//223 221//221
+f 239//239 224//224 226//226
+f 240//240 225//225 223//223
+f 239//239 226//226 228//228
+f 240//240 227//227 225//225
+f 239//239 228//228 230//230
+f 240//240 229//229 227//227
+f 239//239 230//230 232//232
+f 240//240 231//231 229//229
+f 239//239 232//232 234//234
+f 240//240 233//233 231//231
+f 239//239 234//234 236//236
+f 240//240 235//235 233//233
+f 239//239 236//236 238//238
+f 240//240 237//237 235//235
+f 239//239 238//238 217//217
+f 240//240 216//216 237//237
+f 241//241 242//242 243//243
+f 244//244 245//245 246//246
+f 241//241 243//243 247//247
+f 244//244 248//248 245//245
+f 241//241 247//247 249//249
+f 244//244 250//250 248//248
+f 241//241 249//249 251//251
+f 244//244 252//252 250//250
+f 241//241 251//251 253//253
+f 244//244 254//254 252//252
+f 241//241 253//253 255//255
+f 244//244 256//256 254//254
+f 241//241 255//255 257//257
+f 244//244 258//258 256//256
+f 241//241 257//257 259//259
+f 244//244 260//260 258//258
+f 241//241 259//259 261//261
+f 244//244 262//262 260//260
+f 241//241 261//261 263//263
+f 244//244 264//264 262//262
+f 241//241 263//263 265//265
+f 244//244 266//266 264//264
+f 241//241 265//265 242//242
+f 244//244 246//246 266//266
+f 300//300 296//296 298//298
+f 296//296 294//294 298//298
+f 291//291 300//300 298//298
+f 291//291 298//298 287//287
+f 299//299 290//290 286//286
+f 299//299 286//286 297//297
+f 295//295 299//299 297//297
+f 295//295 297//297 293//293
+f 300//300 291//291 299//299
+f 291//291 290//290 299//299
+f 296//296 300//300 299//299
+f 296//296 299//299 295//295
+f 297//297 286//286 287//287
+f 297//297 287//287 298//298
+f 293//293 297//297 298//298
+f 293//293 298//298 294//294
+f 296//296 292//292 294//294
+f 292//292 288//288 294//294
+f 293//293 285//285 289//289
+f 293//293 289//289 295//295
+f 292//292 296//296 289//289
+f 296//296 295//295 289//289
+f 285//285 293//293 294//294
+f 285//285 294//294 288//288
+f 289//289 285//285 292//292
+f 285//285 288//288 292//292
+f 286//286 290//290 291//291
+f 286//286 291//291 287//287
+f 265//265 246//246 242//242
+f 265//265 266//266 246//246
+f 263//263 266//266 265//265
+f 263//263 264//264 266//266
+f 261//261 264//264 263//263
+f 261//261 262//262 264//264
+f 259//259 262//262 261//261
+f 259//259 260//260 262//262
+f 257//257 260//260 259//259
+f 257//257 258//258 260//260
+f 255//255 258//258 257//257
+f 255//255 256//256 258//258
+f 253//253 256//256 255//255
+f 253//253 254//254 256//256
+f 251//251 254//254 253//253
+f 251//251 252//252 254//254
+f 249//249 252//252 251//251
+f 249//249 250//250 252//252
+f 247//247 250//250 249//249
+f 247//247 248//248 250//250
+f 243//243 248//248 247//247
+f 243//243 245//245 248//248
+f 242//242 245//245 243//243
+f 242//242 246//246 245//245
+f 216//216 217//217 238//238
+f 216//216 238//238 237//237
+f 237//237 238//238 236//236
+f 237//237 236//236 235//235
+f 235//235 236//236 234//234
+f 235//235 234//234 233//233
+f 233//233 234//234 232//232
+f 233//233 232//232 231//231
+f 231//231 232//232 230//230
+f 231//231 230//230 229//229
+f 229//229 230//230 228//228
+f 229//229 228//228 227//227
+f 227//227 228//228 226//226
+f 227//227 226//226 225//225
+f 225//225 226//226 224//224
+f 225//225 224//224 223//223
+f 223//223 224//224 222//222
+f 223//223 222//222 221//221
+f 221//221 222//222 220//220
+f 221//221 220//220 219//219
+f 219//219 220//220 218//218
+f 219//219 218//218 215//215
+f 215//215 218//218 217//217
+f 215//215 217//217 216//216
+f 177//177 158//158 154//154
+f 177//177 178//178 158//158
+f 175//175 178//178 177//177
+f 175//175 176//176 178//178
+f 173//173 176//176 175//175
+f 173//173 174//174 176//176
+f 171//171 174//174 173//173
+f 171//171 172//172 174//174
+f 169//169 172//172 171//171
+f 169//169 170//170 172//172
+f 167//167 170//170 169//169
+f 167//167 168//168 170//170
+f 165//165 168//168 167//167
+f 165//165 166//166 168//168
+f 163//163 166//166 165//165
+f 163//163 164//164 166//166
+f 161//161 164//164 163//163
+f 161//161 162//162 164//164
+f 159//159 162//162 161//161
+f 159//159 160//160 162//162
+f 155//155 160//160 159//159
+f 155//155 157//157 160//160
+f 154//154 157//157 155//155
+f 154//154 158//158 157//157
+f 118//118 132//132 131//131
+f 118//118 117//117 132//132
+f 131//131 132//132 129//129
+f 129//129 132//132 130//130
+f 129//129 130//130 127//127
+f 127//127 130//130 128//128
+f 127//127 128//128 125//125
+f 125//125 128//128 126//126
+f 125//125 126//126 123//123
+f 123//123 126//126 124//124
+f 123//123 122//122 121//121
+f 123//123 124//124 122//122
+f 121//121 120//120 119//119
+f 121//121 122//122 120//120
+f 117//117 119//119 120//120
+f 117//117 118//118 119//119
+f 103//103 101//101 115//115
+f 103//103 115//115 116//116
+f 113//113 114//114 116//116
+f 113//113 116//116 115//115
+f 111//111 112//112 114//114
+f 111//111 114//114 113//113
+f 109//109 110//110 111//111
+f 110//110 112//112 111//111
+f 107//107 108//108 109//109
+f 108//108 110//110 109//109
+f 105//105 106//106 107//107
+f 106//106 108//108 107//107
+f 100//100 104//104 105//105
+f 104//104 106//106 105//105
+f 101//101 103//103 104//104
+f 101//101 104//104 100//100
+f 82//82 96//96 95//95
+f 82//82 81//81 96//96
+f 95//95 96//96 93//93
+f 93//93 96//96 94//94
+f 93//93 94//94 91//91
+f 91//91 94//94 92//92
+f 91//91 92//92 89//89
+f 89//89 92//92 90//90
+f 89//89 90//90 87//87
+f 87//87 90//90 88//88
+f 87//87 86//86 85//85
+f 87//87 88//88 86//86
+f 85//85 84//84 83//83
+f 85//85 86//86 84//84
+f 81//81 83//83 84//84
+f 81//81 82//82 83//83
+f 71//71 63//63 70//70
+f 71//71 70//70 78//78
+f 69//69 77//77 78//78
+f 69//69 78//78 70//70
+f 68//68 76//76 77//77
+f 68//68 77//77 69//69
+f 67//67 75//75 68//68
+f 75//75 76//76 68//68
+f 66//66 74//74 67//67
+f 74//74 75//75 67//67
+f 65//65 73//73 66//66
+f 73//73 74//74 66//66
+f 64//64 72//72 65//65
+f 72//72 73//73 65//65
+f 63//63 71//71 72//72
+f 63//63 72//72 64//64
+f 23//23 21//21 35//35
+f 23//23 35//35 36//36
+f 33//33 34//34 36//36
+f 33//33 36//36 35//35
+f 31//31 32//32 34//34
+f 31//31 34//34 33//33
+f 29//29 30//30 32//32
+f 29//29 32//32 31//31
+f 27//27 28//28 30//30
+f 27//27 30//30 29//29
+f 25//25 26//26 28//28
+f 25//25 28//28 27//27
+f 20//20 24//24 26//26
+f 20//20 26//26 25//25
+f 24//24 20//20 21//21
+f 24//24 21//21 23//23
+f 2//2 1//1 16//16
+f 16//16 15//15 2//2
+f 15//15 14//14 13//13
+f 15//15 16//16 14//14
+f 13//13 12//12 11//11
+f 13//13 14//14 12//12
+f 11//11 10//10 9//9
+f 11//11 12//12 10//10
+f 9//9 8//8 7//7
+f 9//9 10//10 8//8
+f 7//7 6//6 5//5
+f 7//7 8//8 6//6
+f 5//5 4//4 3//3
+f 5//5 6//6 4//4
+f 1//1 3//3 4//4
+f 1//1 2//2 3//3
+f 138//138 137//137 136//136
+f 136//136 137//137 135//135
+f 138//138 140//140 139//139
+f 139//139 140//140 135//135
+f 138//138 142//142 141//141
+f 141//141 142//142 135//135
+f 138//138 144//144 143//143
+f 143//143 144//144 135//135
+f 138//138 146//146 145//145
+f 145//145 146//146 135//135
+f 138//138 148//148 147//147
+f 147//147 148//148 135//135
+f 138//138 150//150 149//149
+f 149//149 150//150 135//135
+f 138//138 152//152 151//151
+f 151//151 152//152 135//135
+f 179//179 181//181 180//180
+f 182//182 181//181 179//179
+f 184//184 183//183 180//180
+f 182//182 183//183 184//184
+f 186//186 185//185 180//180
+f 182//182 185//185 186//186
+f 188//188 187//187 180//180
+f 182//182 187//187 188//188
+f 190//190 189//189 180//180
+f 182//182 189//189 190//190
+f 192//192 191//191 180//180
+f 182//182 191//191 192//192
+f 194//194 193//193 180//180
+f 182//182 193//193 194//194
+f 196//196 195//195 180//180
+f 182//182 195//195 196//196
+f 200//200 201//201 198//198
+f 198//198 201//201 199//199
+f 200//200 203//203 202//202
+f 202//202 203//203 199//199
+f 200//200 205//205 204//204
+f 204//204 205//205 199//199
+f 200//200 207//207 206//206
+f 206//206 207//207 199//199
+f 200//200 209//209 208//208
+f 208//208 209//209 199//199
+f 200//200 211//211 210//210
+f 210//210 211//211 199//199
+f 200//200 213//213 212//212
+f 212//212 213//213 199//199
+f 200//200 197//197 214//214
+f 214//214 197//197 199//199
+f 267//267 269//269 268//268
+f 270//270 269//269 267//267
+f 272//272 271//271 268//268
+f 270//270 271//271 272//272
+f 274//274 273//273 268//268
+f 270//270 273//273 274//274
+f 276//276 275//275 268//268
+f 270//270 275//275 276//276
+f 278//278 277//277 268//268
+f 270//270 277//277 278//278
+f 280//280 279//279 268//268
+f 270//270 279//279 280//280
+f 282//282 281//281 268//268
+f 270//270 281//281 282//282
+f 284//284 283//283 268//268
+f 270//270 283//283 284//284
+# 1080 faces, 0 coords texture
+
+# End of File
\ No newline at end of file